From ea99bddf13582f93f6db12a8bb776096ce2e6546 Mon Sep 17 00:00:00 2001 From: Ishant Singh Date: Tue, 21 Oct 2025 22:44:23 +0530 Subject: [PATCH 1/2] Optimize model hyperparameters --- lstm_model.ipynb | 653 +---------------------------------------------- 1 file changed, 1 insertion(+), 652 deletions(-) diff --git a/lstm_model.ipynb b/lstm_model.ipynb index 270f317..109fbda 100644 --- a/lstm_model.ipynb +++ b/lstm_model.ipynb @@ -1,652 +1 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "vglX3vOPxy6w" - }, - "source": [ - "#### Import Required Libraries" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "m7uJEJA1x0bL" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "from sklearn.model_selection import train_test_split\n", - "from sklearn.metrics import (classification_report, confusion_matrix,\n", - " accuracy_score, precision_recall_fscore_support)\n", - "import tensorflow as tf\n", - "from tensorflow import keras\n", - "from tensorflow.keras import layers, models, callbacks\n", - "from tensorflow.keras.utils import plot_model\n", - "\n", - "# Set random seeds for reproducibility\n", - "np.random.seed(42)\n", - "tf.random.set_seed(42)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Y-8J1FOlx4j3", - "outputId": "b7aa49a8-61ee-4726-d46e-4badf0c17a87" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading preprocessed data...\n", - "Data shape: X=(112559, 250, 1), y=(112559, 5)\n", - "Classes: ['F' 'N' 'Q' 'S' 'V']\n" - ] - } - ], - "source": [ - "print(\"Loading preprocessed data...\")\n", - "data = np.load('data/ecg_mitdb_processed.npz')\n", - "X = data['X']\n", - "y = data['y']\n", - "label_names = data['label_names']\n", - "\n", - "print(f\"Data shape: X={X.shape}, y={y.shape}\")\n", - "print(f\"Classes: {label_names}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aZGPXypTx-N5", - "outputId": "1ce032cd-c734-43a4-c75a-e3732020573d" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Splitting data...\n", - "Train set: 72037 samples\n", - "Validation set: 18010 samples\n", - "Test set: 22512 samples\n" - ] - } - ], - "source": [ - "print(\"\\nSplitting data...\")\n", - "# First split: 80% train+val, 20% test\n", - "X_temp, X_test, y_temp, y_test = train_test_split(\n", - " X, y, test_size=0.2, random_state=42, stratify=y.argmax(axis=1)\n", - ")\n", - "\n", - "# Second split: 80% train, 20% validation (of the 80%)\n", - "X_train, X_val, y_train, y_val = train_test_split(\n", - " X_temp, y_temp, test_size=0.2, random_state=42, stratify=y_temp.argmax(axis=1)\n", - ")\n", - "\n", - "print(f\"Train set: {X_train.shape[0]} samples\")\n", - "print(f\"Validation set: {X_val.shape[0]} samples\")\n", - "print(f\"Test set: {X_test.shape[0]} samples\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ydnt67KEyAz1", - "outputId": "b450664d-4bb8-4422-eac2-261cbd5c0536" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Building LSTM model...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/usr/local/lib/python3.12/dist-packages/keras/src/layers/rnn/rnn.py:199: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", - " super().__init__(**kwargs)\n" - ] - } - ], - "source": [ - "print(\"\\nBuilding LSTM model...\")\n", - "\n", - "def create_lstm_model(input_shape, num_classes):\n", - " \"\"\"\n", - " Create LSTM model for ECG classification\n", - "\n", - " Args:\n", - " input_shape: Shape of input (timesteps, features)\n", - " num_classes: Number of output classes\n", - " \"\"\"\n", - " model = models.Sequential([\n", - " # First LSTM layer with return sequences\n", - " layers.LSTM(128, return_sequences=True, input_shape=input_shape),\n", - " layers.Dropout(0.3),\n", - " layers.BatchNormalization(),\n", - "\n", - " # Third LSTM layer (no return sequences - outputs single vector)\n", - " layers.LSTM(32),\n", - " layers.Dropout(0.3),\n", - " layers.BatchNormalization(),\n", - "\n", - " # Dense layers\n", - " layers.Dense(64, activation='relu'),\n", - " layers.Dropout(0.3),\n", - "\n", - " layers.Dense(32, activation='relu'),\n", - " layers.Dropout(0.2),\n", - "\n", - " # Output layer\n", - " layers.Dense(num_classes, activation='softmax')\n", - " ])\n", - "\n", - " return model\n", - "\n", - "# Create model\n", - "input_shape = (X_train.shape[1], X_train.shape[2]) # (250, 1)\n", - "num_classes = y_train.shape[1]\n", - "\n", - "model = create_lstm_model(input_shape, num_classes)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "model.compile(\n", - " optimizer=keras.optimizers.Adam(learning_rate=0.001),\n", - " loss='categorical_crossentropy',\n", - " metrics=['accuracy', keras.metrics.Precision(), keras.metrics.Recall()]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "AXn0FOvcyf95", - "outputId": "261c61fb-5ddd-419b-d251-9809ad543487" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Training model...\n", - "Epoch 1/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 38ms/step - accuracy: 0.7405 - loss: 0.7764 - precision: 0.8081 - recall: 0.6489 - val_accuracy: 0.8343 - val_loss: 0.5151 - val_precision: 0.8514 - val_recall: 0.8141\n", - "Epoch 2/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.8514 - loss: 0.4856 - precision: 0.8707 - recall: 0.8269 - val_accuracy: 0.8999 - val_loss: 0.3444 - val_precision: 0.9084 - val_recall: 0.8941\n", - "Epoch 3/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 33ms/step - accuracy: 0.8824 - loss: 0.4170 - precision: 0.8984 - recall: 0.8637 - val_accuracy: 0.8888 - val_loss: 0.3808 - val_precision: 0.9101 - val_recall: 0.8369\n", - "Epoch 4/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9014 - loss: 0.3558 - precision: 0.9165 - recall: 0.8863 - val_accuracy: 0.9219 - val_loss: 0.2710 - val_precision: 0.9325 - val_recall: 0.9138\n", - "Epoch 5/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9118 - loss: 0.3295 - precision: 0.9242 - recall: 0.8989 - val_accuracy: 0.9264 - val_loss: 0.2567 - val_precision: 0.9396 - val_recall: 0.9153\n", - "Epoch 6/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9201 - loss: 0.2946 - precision: 0.9318 - recall: 0.9080 - val_accuracy: 0.9352 - val_loss: 0.2321 - val_precision: 0.9456 - val_recall: 0.9282\n", - "Epoch 7/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9192 - loss: 0.2937 - precision: 0.9311 - recall: 0.9092 - val_accuracy: 0.9314 - val_loss: 0.2331 - val_precision: 0.9408 - val_recall: 0.9231\n", - "Epoch 8/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9301 - loss: 0.2615 - precision: 0.9399 - recall: 0.9213 - val_accuracy: 0.9435 - val_loss: 0.2030 - val_precision: 0.9507 - val_recall: 0.9365\n", - "Epoch 9/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9336 - loss: 0.2481 - precision: 0.9433 - recall: 0.9244 - val_accuracy: 0.9366 - val_loss: 0.2379 - val_precision: 0.9447 - val_recall: 0.9291\n", - "Epoch 10/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9348 - loss: 0.2419 - precision: 0.9449 - recall: 0.9269 - val_accuracy: 0.9437 - val_loss: 0.1971 - val_precision: 0.9529 - val_recall: 0.9378\n", - "Epoch 11/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 34ms/step - accuracy: 0.9400 - loss: 0.2227 - precision: 0.9484 - recall: 0.9320 - val_accuracy: 0.9272 - val_loss: 0.2706 - val_precision: 0.9368 - val_recall: 0.9198\n", - "Epoch 12/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9362 - loss: 0.2343 - precision: 0.9460 - recall: 0.9274 - val_accuracy: 0.9497 - val_loss: 0.1784 - val_precision: 0.9577 - val_recall: 0.9428\n", - "Epoch 13/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 36ms/step - accuracy: 0.9462 - loss: 0.1995 - precision: 0.9544 - recall: 0.9382 - val_accuracy: 0.9510 - val_loss: 0.1688 - val_precision: 0.9581 - val_recall: 0.9454\n", - "Epoch 14/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9442 - loss: 0.2049 - precision: 0.9531 - recall: 0.9362 - val_accuracy: 0.9512 - val_loss: 0.1691 - val_precision: 0.9604 - val_recall: 0.9424\n", - "Epoch 15/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9494 - loss: 0.1896 - precision: 0.9563 - recall: 0.9426 - val_accuracy: 0.9579 - val_loss: 0.1498 - val_precision: 0.9643 - val_recall: 0.9522\n", - "Epoch 16/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9495 - loss: 0.1857 - precision: 0.9578 - recall: 0.9430 - val_accuracy: 0.9454 - val_loss: 0.2048 - val_precision: 0.9541 - val_recall: 0.9352\n", - "Epoch 17/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9435 - loss: 0.2075 - precision: 0.9519 - recall: 0.9357 - val_accuracy: 0.9540 - val_loss: 0.1606 - val_precision: 0.9597 - val_recall: 0.9469\n", - "Epoch 18/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9499 - loss: 0.1856 - precision: 0.9568 - recall: 0.9442 - val_accuracy: 0.9492 - val_loss: 0.1886 - val_precision: 0.9540 - val_recall: 0.9445\n", - "Epoch 19/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9534 - loss: 0.1726 - precision: 0.9601 - recall: 0.9474 - val_accuracy: 0.9512 - val_loss: 0.1686 - val_precision: 0.9589 - val_recall: 0.9442\n", - "Epoch 20/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9500 - loss: 0.1833 - precision: 0.9586 - recall: 0.9428 - val_accuracy: 0.9509 - val_loss: 0.1733 - val_precision: 0.9567 - val_recall: 0.9455\n", - "Epoch 21/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9527 - loss: 0.1759 - precision: 0.9600 - recall: 0.9459 - val_accuracy: 0.9616 - val_loss: 0.1428 - val_precision: 0.9673 - val_recall: 0.9551\n", - "Epoch 22/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 35ms/step - accuracy: 0.9591 - loss: 0.1535 - precision: 0.9651 - recall: 0.9534 - val_accuracy: 0.9634 - val_loss: 0.1369 - val_precision: 0.9690 - val_recall: 0.9571\n", - "Epoch 23/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9582 - loss: 0.1564 - precision: 0.9642 - recall: 0.9524 - val_accuracy: 0.9669 - val_loss: 0.1229 - val_precision: 0.9705 - val_recall: 0.9642\n", - "Epoch 24/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9598 - loss: 0.1487 - precision: 0.9658 - recall: 0.9552 - val_accuracy: 0.9647 - val_loss: 0.1292 - val_precision: 0.9693 - val_recall: 0.9601\n", - "Epoch 25/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9600 - loss: 0.1485 - precision: 0.9662 - recall: 0.9555 - val_accuracy: 0.9613 - val_loss: 0.1395 - val_precision: 0.9653 - val_recall: 0.9577\n", - "Epoch 26/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9594 - loss: 0.1500 - precision: 0.9653 - recall: 0.9546 - val_accuracy: 0.9606 - val_loss: 0.1399 - val_precision: 0.9637 - val_recall: 0.9582\n", - "Epoch 27/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9617 - loss: 0.1423 - precision: 0.9668 - recall: 0.9572 - val_accuracy: 0.9675 - val_loss: 0.1194 - val_precision: 0.9706 - val_recall: 0.9655\n", - "Epoch 28/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9619 - loss: 0.1421 - precision: 0.9667 - recall: 0.9574 - val_accuracy: 0.9664 - val_loss: 0.1313 - val_precision: 0.9698 - val_recall: 0.9642\n", - "Epoch 29/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9633 - loss: 0.1402 - precision: 0.9679 - recall: 0.9587 - val_accuracy: 0.9654 - val_loss: 0.1288 - val_precision: 0.9690 - val_recall: 0.9621\n", - "Epoch 30/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 33ms/step - accuracy: 0.9655 - loss: 0.1279 - precision: 0.9703 - recall: 0.9613 - val_accuracy: 0.9692 - val_loss: 0.1111 - val_precision: 0.9712 - val_recall: 0.9671\n", - "Epoch 31/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9654 - loss: 0.1298 - precision: 0.9706 - recall: 0.9616 - val_accuracy: 0.9505 - val_loss: 0.1993 - val_precision: 0.9556 - val_recall: 0.9440\n", - "Epoch 32/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9631 - loss: 0.1395 - precision: 0.9680 - recall: 0.9594 - val_accuracy: 0.9695 - val_loss: 0.1102 - val_precision: 0.9733 - val_recall: 0.9667\n", - "Epoch 33/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 34ms/step - accuracy: 0.9639 - loss: 0.1334 - precision: 0.9680 - recall: 0.9592 - val_accuracy: 0.9725 - val_loss: 0.0973 - val_precision: 0.9756 - val_recall: 0.9699\n", - "Epoch 34/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9687 - loss: 0.1150 - precision: 0.9727 - recall: 0.9651 - val_accuracy: 0.9701 - val_loss: 0.1050 - val_precision: 0.9743 - val_recall: 0.9671\n", - "Epoch 35/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9686 - loss: 0.1163 - precision: 0.9727 - recall: 0.9653 - val_accuracy: 0.9738 - val_loss: 0.0946 - val_precision: 0.9766 - val_recall: 0.9707\n", - "Epoch 36/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9707 - loss: 0.1116 - precision: 0.9741 - recall: 0.9668 - val_accuracy: 0.9714 - val_loss: 0.1022 - val_precision: 0.9752 - val_recall: 0.9677\n", - "Epoch 37/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 34ms/step - accuracy: 0.9695 - loss: 0.1147 - precision: 0.9733 - recall: 0.9657 - val_accuracy: 0.9717 - val_loss: 0.1001 - val_precision: 0.9741 - val_recall: 0.9702\n", - "Epoch 38/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9706 - loss: 0.1091 - precision: 0.9739 - recall: 0.9678 - val_accuracy: 0.9295 - val_loss: 0.2364 - val_precision: 0.9378 - val_recall: 0.9246\n", - "Epoch 39/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 35ms/step - accuracy: 0.9626 - loss: 0.1386 - precision: 0.9681 - recall: 0.9574 - val_accuracy: 0.9737 - val_loss: 0.0955 - val_precision: 0.9764 - val_recall: 0.9718\n", - "Epoch 40/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9714 - loss: 0.1047 - precision: 0.9752 - recall: 0.9683 - val_accuracy: 0.9723 - val_loss: 0.0931 - val_precision: 0.9761 - val_recall: 0.9695\n", - "Epoch 41/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9729 - loss: 0.1004 - precision: 0.9761 - recall: 0.9700 - val_accuracy: 0.9764 - val_loss: 0.0863 - val_precision: 0.9788 - val_recall: 0.9740\n", - "Epoch 42/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9740 - loss: 0.0953 - precision: 0.9772 - recall: 0.9709 - val_accuracy: 0.9730 - val_loss: 0.0940 - val_precision: 0.9757 - val_recall: 0.9706\n", - "Epoch 43/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9728 - loss: 0.1001 - precision: 0.9757 - recall: 0.9701 - val_accuracy: 0.9701 - val_loss: 0.1029 - val_precision: 0.9732 - val_recall: 0.9683\n", - "Epoch 44/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9734 - loss: 0.1015 - precision: 0.9767 - recall: 0.9708 - val_accuracy: 0.9746 - val_loss: 0.0896 - val_precision: 0.9777 - val_recall: 0.9729\n", - "Epoch 45/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 34ms/step - accuracy: 0.9742 - loss: 0.0962 - precision: 0.9773 - recall: 0.9718 - val_accuracy: 0.9768 - val_loss: 0.0866 - val_precision: 0.9782 - val_recall: 0.9754\n", - "Epoch 46/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9757 - loss: 0.0938 - precision: 0.9786 - recall: 0.9735 - val_accuracy: 0.9763 - val_loss: 0.0869 - val_precision: 0.9786 - val_recall: 0.9745\n", - "Epoch 47/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9761 - loss: 0.0902 - precision: 0.9791 - recall: 0.9737 - val_accuracy: 0.9758 - val_loss: 0.0934 - val_precision: 0.9782 - val_recall: 0.9743\n", - "Epoch 48/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9754 - loss: 0.0907 - precision: 0.9780 - recall: 0.9728 - val_accuracy: 0.9781 - val_loss: 0.0784 - val_precision: 0.9807 - val_recall: 0.9765\n", - "Epoch 49/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 33ms/step - accuracy: 0.9769 - loss: 0.0863 - precision: 0.9793 - recall: 0.9747 - val_accuracy: 0.9781 - val_loss: 0.0786 - val_precision: 0.9803 - val_recall: 0.9767\n", - "Epoch 50/50\n", - "\u001b[1m563/563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 34ms/step - accuracy: 0.9756 - loss: 0.0869 - precision: 0.9792 - recall: 0.9728 - val_accuracy: 0.9786 - val_loss: 0.0833 - val_precision: 0.9806 - val_recall: 0.9770\n" - ] - } - ], - "source": [ - "print(\"\\nTraining model...\")\n", - "history = model.fit(\n", - " X_train, y_train,\n", - " validation_data=(X_val, y_val),\n", - " epochs=50,\n", - " batch_size=128,\n", - " # callbacks=[early_stop, reduce_lr, checkpoint],\n", - " verbose=1\n", - ")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 782 - }, - "id": "cGK1IVMyyiPQ", - "outputId": "e9d2e71d-04b6-4871-ba2d-0702ce1bfea9" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Plotting training history...\n", - "Training history saved to: training_history.png\n" - ] - }, - { - "data": { - "image/png": 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77uOZZ56hXbt2XHrppURERJCUlMTSpUu57777uPvuuwGYMWMGq1ev5p133mH16tVcdNFFeHp6kpiYyKJFi/j5559dI3mmTp3Kt99+y4gRI7j66qvx8fHhu+++IygoyJWbsaqsViu33347zz77LN27d2fUqFFkZWXxzTffEBcXR4sWLcodU522lrr11lv58MMPSUlJ4d5773V9wBARERGR009zeZ9/vGXLljF+/PgK95111lncdNNNzJs3j+HDhzNixAiuuOIK4uLiWLVqFT/88AMJCQk8+eSTrmPeeecdXnvtNQYPHkxCQgIBAQFs2bKFr7/+mpCQECZMmADAd999x/3338+gQYNo3749oaGhJCYm8sUXX+Dl5eUanCMi0iAMERGplt27dxuAMXz48CqV9/T0NOLi4sptz8nJMf7+978b7du3N2w2mxEUFGRcdNFFxk8//VRhPenp6cbNN99shIeHG15eXkavXr2MTz75xJg7d64BGHPnzi13zLZt24yJEycacXFxhs1mM4KDg42uXbsad955p7F27doyZQFjyJAhJ72eAQMGGICxbNmySsvt2LHDAIz27duX2f7xxx8b55xzjhEYGGh4enoa8fHxxvXXX29s2rSpTLmCggLjmWeeMXr06GF4e3sbfn5+RqdOnYx7773XOHr0aJmyH374odG1a1fDZrMZUVFRxpQpU4zs7GwjLi6u3Gs/btw4AzB2795dYbuLioqMf/3rX0a7du0MT09Po1WrVsa99957wvqq21bDMAyn02m0atXKAIytW7dW+jqKiIiISP1o7u/zDcMwli1bZgCVPsaNG+cqv2HDBuPyyy83wsLCDA8PDyMuLs646667jLS0tDL1rl692rjllluMLl26GEFBQYa3t7fRrl07Y/LkycbevXtd5bZs2WLcddddRs+ePY3Q0FDD09PTaNOmjTFu3Dhj8+bNVboGEZG6YjGM4+41EhERkTp36NAhWrVqxYABA/jxxx8bujkiIiIiIiIichLKkS4iIlLPZs+ejd1u57bbbmvopoiIiIiIiIhIFWhEuoiISD3IzMzklVdeYe/evbzxxhu0b9+eDRs24Obm1tBNExEREREREZGTUCBdRESkHuzZs4fWrVvj5eVF//79efXVV+nQoUNDN0tEREREREREqkCBdBERERERERERERGRSihHuoiIiIiIiIiIiIhIJRRIFxERERERERERERGphHtDN6CxcjqdHDx4EH9/fywWS0M3R0REREQaMcMwyM7OpkWLFlitGutSGb0PFxEREZHaUp334Qqk19DBgweJjY1t6GaIiIiISBOyf/9+WrZs2dDNOK3pfbiIiIiI1LaqvA9XIL2G/P39AfNFDggIqLfzOp1O0tLSCA8P12ilJk593Xyor5sP9XXzob5uPmqrr7OysoiNjXW9x5QT0/twqWvq6+ZDfd18qK+bD/V189EQ78MVSK+h0ttIAwIC6v0NfEFBAQEBAfqD0MSpr5sP9XXzob5uPtTXzUdt97VSlZyc3odLXVNfNx/q6+ZDfd18qK+bj4Z4H66fKBERERERERERERGRSiiQLiIiIiIiIiIiIiJSCQXSRUREREREREREREQqoRzpdczhcFBcXFxr9TmdToqLiykoKFCup3rm4eGBm5tbQzdDRERERERERETqUG3H86T2VTVGWpvxPAXS64hhGCQnJ5ORkVHr9TqdTrKzszUZVQMICgoiKipKr72IiIiIiIiISBNTV/E8qX3ViZHWVjxPgfQ6UvpLFxERgY+PT60FXg3DwG634+7urmBuPTIMg7y8PFJTUwGIjo5u4BaJiIiIiIiIiEhtqqt4ntS+qsRIazuep0B6HXA4HK5futDQ0FqtW4H0huPt7Q1AamoqERERSvMiIiIiIiIiItJE1GU8T2pfVWOktRnPU5LtOlCaQ8nHx6eBWyK1rbRPlSdLRERERERERKTpUDyv6aqteJ4C6XVII8abHvWpiIiIiIiIiEjTpdhP01NbfapAuoiIiIiIiIiIiIhIJRRIlzoVHx/P7NmzG7oZIiIiIiIiIiIiUkWK6ZWnQLoA5i0OlT0ee+yxGtX7yy+/cPPNN9duY0VEREREREREREQxvXrk3tANkNPDoUOHXOvz58/nkUceYfv27a5tfn5+rnXDMHA4HLi7n/zHJzw8vHYbKiIiIiIiIiIiIoBievVJI9IFgKioKNcjMDAQi8Xier5t2zb8/f355ptv6NWrF56envz888/s2rWLSy65hMjISPz8/OjTpw9LliwpU+9fbwOxWCy88cYbXHrppfj4+NCuXTu++OKLer5aERERERERERGRxk8xvfqjQHo9MAyDvCJ7gzwMw6i163jooYd48skn2bp1K926dSMnJ4cRI0awdOlS1q9fz4UXXsioUaPYt29fpfU8/vjjXHnllWzYsIERI0Zw7bXXcuTIkVprp4iIiEiNOYqhILOhWyGnIafT4EhecUM3Q0REROqRYnplNfeYnlK71IP8YgedHlncIOfeMmM4Prba6eYZM2Zw/vnnu56HhITQvXt31/N//OMffPrpp3zxxRdMnjz5hPWMHz+eq6++GoAnnniCF154gbVr13LhhRfWSjtFRESkiXIUQ25a9Y5x2iH/KOQdgbz0Y+v5Jc9d6yWPomyIPxvGf1U31yCNUk6hnZ4zvqXYYbD5sSh8vTQeSUREpDlQTK+s5h7TUyBdqqx3795lnufk5PDYY4+xcOFCDh06hN1uJz8//6TfXnXr1s217uvrS0BAAKmpqXXSZhEREWkCUrfCb+/Ahg/M4Hddy8+o+3NIo+Jrc8PDzUqxw0FKdgFtvDwaukkiIiIiVaaYXu1QIL0eeHu4sWXG8FqpyzAM7HY77u7uWCyWKp27tvj6+pZ5ft999/Hdd9/xzDPP0LZtW7y9vbn88sspKiqqtB4Pj7IfPCwWC06ns9baKSIiIk1AQRZs/sQMoCf9emy7xWo+qspiBe9g8A4Bn1DwCTaX3iHgE1LBejB4BdX65UjjZrFYiPD3ZE96HqlZhbQJ92/oJomIiEg9qM2YXk3OXVsU06sdCqTXA4vFUmu3YhiGgd1KlQPpdWnFihWMHz+eSy+9FDC/zdqzZ0+DtklERERqyZHdkLbdDDD7hoFvONj8oC7ffxgG7FtlBs+3fAbFeeZ2qztGu+Gktx9LWtTZBPl5E+xjw6sWP1yInExkgBd70vNIySpo6KaIiIhIPanNmN7pRDG9mmnwn4SXX36Zp59+muTkZLp3786LL75I3759KyxbXFzMzJkzeeutt0hKSqJDhw489dRTZfLwxMfHs3fv3nLH3n777bz88ssADB06lOXLl5fZf8stt/Dqq6/W4pU1fe3ateOTTz5h1KhRWCwW/v73vzerb6FEREQqZBiw9Qu8jqRB2HiwNqJcyvkZsPlT+OMD2L+6/H43TzOg7ht2LLheuvQpXZaM7vYOAa/AqgXes1Pgj/dg/buQvtO1+ah3HD/6XcSH9kGs22Ij/w8HsMq139vDjWAfD4J8bIT42gjy8SDYx0awjwfBvjaCfWz4e7lTUOwkt8hOXqGd3CIHeUV2cgsd5BbayStylOwrWRY5OCPan/9c2+vUX09pUiL8PQFIyS5s4JaIiIiInBrF9GqmQQPp8+fPZ+rUqbz66qv069eP2bNnM3z4cLZv305ERES58tOnT+fdd9/l9ddfp2PHjixevJhLL72UlStX0rNnTwB++eUXHA6H65hNmzZx/vnnc8UVV5Spa9KkScyYMcP13MfHp46usumaNWsWN954IwMHDiQsLIwHH3yQrKyshm6WiIhIw8lOgS/vxLpjEUGAsWkeXPQUxJ/VwA2rhKMYdn0Pf7wP274GR0mQ0GKFiE5QmA25h6E419yXdcB8VIXF7VhQ/bjUKYZ3CPkeQRwptmFNXEJU8o9YMd+/5RqefOUYwHzHUH4raAdHSwPxDjzcLAR6e5CRV4zdaZBf7CA/08HBzNodIRzg1eBjTeQ0FBXoBaAR6SIiItLoKaZXMxbDMIyGOnm/fv3o06cPL730EgBOp5PY2FimTJnCQw89VK58ixYtePjhh7njjjtc28aMGYO3tzfvvvtuhee4++67+eqrr/jzzz9dqVCGDh1Kjx49mD17do3bnpWVRWBgIJmZmQQEBJTZV1BQwO7du2ndujVeXl41PkdFqpsjXWpXXfbtXzmdTlJTU4mIiMDamEYzSrWpr5sP9XUTt+Vz+PJuyD+C4WbDcPPEWpRt7jvjb3DBPyA4viFbeIxhQPIGc+T5xg8hN+3YvvAzoMfV0PUKCGhxbHtRrhlQzz0MeYfNY3LTjm0rfZ5/1JwQtDQtSxWtc7ZjvmMoCx39weZH2wg/EiLMZdtwc9kqxAd3NyuGYZBdaCcjt5ijeUUcySsiI6+Io7nFZJQ8P5pnrmcX2PHycMPX5oaPp7u5tLnj61mydG13x8fTDV+bOyG+HrSNqFoO7Nr6va7svaWU1VCv1es/7uJfX2/j4m7RvHTNmfV2Xql/+n/dfKivmw/1dfNxKn1dnzEfOXXViZFW1rfVeW/ZYMNtioqKWLduHdOmTXNts1qtDBs2jFWrVlV4TGFhYbmL9fb25ueffz7hOd59912mTp1a7gX93//+x7vvvktUVBSjRo3i73//e6Wj0gsLCyksPHYbZ+m3NE6ns9ytD06nE8MwXI/aVlpnA34H0myV9mlF/V7bSn+OdGtN06e+bj7U101UQSaWbx7AsnEBAEZUVxx/e4XDBW5EbP4vlt/ewrL1C4wdi6H/7Rhn3QOeDTRRYfYh2Pghlg0fYEnd6tps+IZDl8sxul1Fmm97Nh3KYuOaTJIy/sBpGBgGGJQurTid4RiEw3HbnRjYvQ0OFuZzoDifwoI8gsgh2JJDsCWbYLIJtuQQRA4hlmyCLNlEuudzxDuenS1HExjbhZERvtwZ7kd0oNcJ3wyX/v742dzws7nRMrhuPuRU9fe0tn6v9Xfh9BcZYP6spWpEuoiIiEiz1GCB9MOHD+NwOIiMjCyzPTIykm3btlV4zPDhw5k1axaDBw8mISGBpUuX8sknn5RJ5XK8zz77jIyMDMaPH19m+zXXXENcXBwtWrRgw4YNPPjgg2zfvp1PPvnkhO2dOXMmjz/+eLntaWlpFBSUfTNdXFyM0+nEbrdjt9tPWGdNGIbhul6NSK9/drsdp9NJenp6uZmKa5vT6SQzMxPDMPSNeROnvm4+1NdNj+3ASgKXTcOam4xhsZLb82Zyet2BE3cyCzNx9noAW5tL8V85E8+kVbDiOZzr3yWn71TyO4w206fUA2teGgE/Pobn3u+xGGbA1nCzkR17LptDLuBHoxtbDhSx7bdUUrKTaumsNoq8I7AGtMQnwJPQQBstAjyJDrDRItCTSH8bnu7m9R+bHceAomzS0rJrqQ11r7Z+r7OzG881N1fKkS4iIiLSvDWqBJDPP/88kyZNomPHjlgsFhISEpgwYQJz5sypsPybb77JRRddRIsWLcpsv/nmm13rXbt2JTo6mvPOO49du3aRkJBQYV3Tpk1j6tSprudZWVnExsYSHh5eYWqX7Oxs3N3dcXevm5e4roO4UjF3d3esViuhoaH1ktrFYrEQHh6ugFsTp75uPppEX9sLzNQd/tEN3ZKGVZyHZcljWH55HQAjJAHjkv/gE9sXH/7S11FR0PEsHNu/hm+n45axh8AfpuFY/y7fx9/D73QkNbuQgmIHnVoE0DM2iB6xQYSXBO1O2Z4VWD6ZiCUnBYCDAT343vNc3s0+k23bSn8OU13FLRZICPOla8tA2oT54u5mxVKy3YIFLGAtWTe3mV/uWyzgZrEQFehFy2BvWgZ742NrVG81a6S2fq91+/Dp7/gc6YZhaFCLiIiISDPTYJ9uwsLCcHNzIyUlpcz2lJQUoqKiKjwmPDyczz77jIKCAtLT02nRogUPPfQQbdq0KVd27969LFmypNJR5qX69esHwM6dO08YSPf09MTTs/wHWqvVWu5Dk9VqLflAaan1N9jHv2nXm/f6V9qnFfV7XZ2vvs4lDUt93Xw06r7e9jV8fR9kJUHrIdDnJugwAtwaWbB0y+fw7XQIbQutBkCr/hDTG2xVnHj8wK/w6S2QvtN83mcSlvMfx2LzBSAzr5jvtiTzW2IK2fZDpGQXkppVQEqWB47ixxnvtogp7p8RkrmZy/+4CZtjAE8WX81Bwvjxz8Ou07QM9qZnq2B6xgbRs1UQnVoE4OnudtLmZeYVsyM1mx3JmURueJVzD/4XC062O1tyZ/Fktqe2KlO+TUnQvGuM+egcE4ifZyPr0wZWG7/XjfJvQjNTOiK9oNhJVoGdQG8NbBERERFpThrsU5LNZqNXr14sXbqU0aNHA+aInqVLlzJ58uRKj/Xy8iImJobi4mI+/vhjrrzyynJl5s6dS0REBCNHjjxpW37//XcAoqOb+eg6ERGRimQdgm/uh61fHtu2e7n58G8BvSfAmTeAf8VfhJ92fn8PMvaZj13fm9us7hDdwwyqtxpgPnxDyx5nL4If/w0/PQuG07z2S16CtudxNLeIb//Yx9cbk1mx8zB254nmMfFgvu0yfve7kNucHzAkdxF/c1vFCI/1bG0zno9so1mdZAbCDxzN58DRfL784yAANjcrnWMC6BkbTM9WQXSJCSQ9p5AdKTnsSMnmz9RsdqTkkJZdSCA5POvxCsPc1gPwseNsphdPIDwkhItLg+YtA+kSE0iAl4KBIlXh5eFGgKcbWYUOUrMKFEgXERERaWYadLjR1KlTGTduHL1796Zv377Mnj2b3NxcJkyYAMANN9xATEwMM2fOBGDNmjUkJSXRo0cPkpKSeOyxx3A6nTzwwANl6nU6ncydO5dx48aVS62ya9cu3nvvPUaMGEFoaCgbNmzgnnvuYfDgwXTr1q1+LlxERKQuOOyQuhmCW4NX5bONV4nTCevmwJLHoTALLG4w6E7ofg388T789jZkH4Rl/4LlT8EZo8xR6nGDzDwgp6uje8xln5vMNDV7V5nXkfSr+Vj1krk/rP2xwHpgLCz+P0jeYO7reiVHhvyTRbsK+Wb5GlbuSsdxXPC8Q5Q/PaK8SYgOITLQi6gALyJLHt620lHlo+HQH7BoGu57V9B156t09Xof+t9Odo+JbDhsYf2+o6zfl8H6/RkcyS0y1/dlwIoTX143yy5e83yBaNKwW2ys7/p/JPQezy+R/hppLnKKwvw8yCp0kJJVSLvIBpo0WEREREQaRIN+mho7dixpaWk88sgjJCcn06NHDxYtWuSagHTfvn1lbnMtKChg+vTpJCYm4ufnx4gRI3jnnXcICgoqU++SJUvYt28fN954Y7lz2mw2lixZ4grax8bGMmbMGKZPn16n1yoiIlJnHHbY9BEs/zcc2QUePtD5Mug1Hlr2rllQO2ULfHkXHFhrPo/pBaNegKgu5vNhj8LQh2DLF/DL67B/DWz+1HyEdzSD1N3G1k5AvzYZxrFA+oA7IKSNuS1zP+xbDXtXmsu0rXB4h/n47W3X4U6vYH7q+DCvpXVl9bO/cvzA807RAYzoGsVFXaNpHepDamoqERERlafsiO4O4xea6WaWPQGHt8MPM/Ff9TKD+t7MoAF3wLntMAyDfUfySgLpR1m/P4Oth7II9/OkXaQ/7SL8aB/hx4Ajn9Lyl39icRRBcGvcr3yLPtHd6+a1FGmGwn1tJKYXkJxV0NBNEREREZF61uDDkiZPnnzCVC4//PBDmedDhgxhy5YtJ63zggsuwDAqvqU6NjaW5cuXV7udIiIipx2HHTZ+aKYbOZJobrN6QHEe/P6u+YjoBGeOg+5jwTv45HUW58OPT8OK58FpB5sfnPco9JkI1r/k53b3hG5XmI9DG+DXN2HDAkjbZuZSX/IYdLvSTPti8zdHtRdmH1sWHP/8uG3FedDzOuhxTa2/ZGQnmxOmWqzmKHMwv2gIamU+upWki8s7Yn45sG8Vxt5V2A9tYr17DyZnXkvq6mAgHYAuMQGM6BrNRV2iaR3m6zqN0+msepssFug82hzRv+Vz+PEZ886Cn56B1a9A35uwDJhCXGg4caG+jO4ZA5SdN4XCbPOLj00fm887Xgyj/wNegafwYonIX4X5melcUhRIFxEREWl2GjyQLiIiItVUUQDdO8RMu9LnJkjeBL+9ZY4OT90Cix6EJY9Cp0vMoHrcwIpHqSf+AF/dc6zOjhfDRf+GwJiTtym6G4x6Hs6fAX98AL+8YY7m/nWO+aiuo3vqJpBeOho9sCW4VZLf2CcEOlxEQZsLuOuD9SzOPTY5eveWga7geavQKk5QWhVWN+hyGXQaDdsXmncYJG8wv9RY818zF/3AOyHAnNPFFURP2QILboD0P81c7+fPgP63n97pdUQaqTBf8+9GqgLpIiIiIs1OJfcai1TP0KFDufvuu13P4+PjmT17dqXHWCwWPvvss1M+d23VIyJyWnPYzYkyX+4Dn91qBrx9QmHY43D3RjjrHvD0h7gBcOmrcO92GPEMRHYxR2FvmA/zRsBLfWDli5B72Kw3Nx0+vQ3evsSs0z8axr4LV/2vakH043kFQr9b4I61MO5LM3jv7gWeARAQA+FnQMu+0HYYdL7UDOwPmAxD/w8ufBJGPmvWk5Vkjo6vgNNpkJxZwK97jvDZ+iRe+v5PFvyyv0yO8hMqDaQHx5+0aE6hnRvn/cLizSnY3Kw8cGEHfn7wHD6ffBa3DEmo3SD68axWc3T6LT/C1fPNtDr2fFj9H3i+Oyy8DzIPmGV/fx9eP9cMovu3gPFfmylrFESXevTyyy8THx+Pl5cX/fr1Y+3atZWWz8jI4I477iA6OhpPT0/at2/P119/XU+tPTXhJSPSldpFREREmhLF9KpGI9IFgFGjRlFcXMyiRYvK7fvpp58YPHgwf/zxR7UmZP3ll1/w9fU9ecFqeOyxx/jss8/4/fffy2w/dOgQwcFVSFkgItIYOeywcYE5QvnobnObT6g5OrnPTeDpV/Fx3kHQd5JZJuk3+G0ebPzYDLp+O92cRLT9cDMveP4RwGKWPe/vp54SxGKB1oPNR3UYBsaSx7EUZrFx0x/spCUHjuRz4Gg+BzLyOHA0n4MZ+RQ7ygfNP/8jiReu6kmon+eJ63cF0ltX2owjuUWMn7uWDQcy8bW58fq43gxMCKvetZwqiwU6XGj20a7vzf7fv9rMSb9uHrTsA/tWmmUTzoXLXgffem6jNHvz589n6tSpvPrqq/Tr14/Zs2czfPhwtm/fTkRERLnyRUVFnH/++URERPDRRx8RExPD3r17y815dLoK97UBkJJV2MAtERERETEppld/FEgXACZOnMiYMWM4cOAALVu2LLNv7ty59O7du1q/cADh4eG12cRKRUVF1du5RETqzYkC6IPugt4TTxxA/yuLBVr2Mh/Dn4CNH5mpXw6uh21fmWUiOpmTicb2KXOoYRhk5dtJyS4gNauQlKwCihxOWgZ7ExvsQ4sgb2zuNb/BLT2nkG3J2Ww9lMX25Gy2JWczsyCMLpYsnv/wW5Y4e1V4nJvVQosgL1oG+RAV6MXizcms2JnOyBd+5uVrz6RX3AneiFVhRPrBjHyuf3MNu9JyCfbx4K0b+9KtZVCNr/GUWSzQ9jwzWL7nJ/PnYc9PJUF0CwydBoPvK5/DXqQezJo1i0mTJjFhwgQAXn31VRYuXMicOXN46KGHypWfM2cOR44cYeXKlXh4mKO74+Pj67PJp6Q0R7pSu4iIiMjpQjG9+qNAugBw8cUXEx4ezrx585g+fbpre05ODh9++CEPPfQQV199NT/++CNHjx4lISGB//u//+Pqq68+YZ3x8fHcfffdrltD/vzzTyZOnMjatWtp06YNzz//fLljHnzwQT799FMOHDhAVFQU1157LY888ggeHh7MmzePxx9/HDiWF3bu3LmMHz8ei8XCp59+yujRowHYuHEjd911F6tWrcLHx4cxY8Ywa9Ys/PzMoNP48ePJyMjgrLPO4tlnn6WoqIirrrqK2bNnuz7UiYhUKvewmSql/YUQmlA35/jmAXMCT6hZAL0inv5mru3eE+DQH+T/+j+SjVD+iLmS5EQnqb9vKQmaF5BSEjgvtJ944kyrBaIDvYkN8aZViA+tQnyILXm0CvEh1NeGxWKh0O5gZ2oO2w5lsy05i20lQfO07PKjOnd7RNDFLZEevkfIiwglJsiblsE+tAz2Nh8hPkT6e+LudiyA/2dKNre+u45dabmMfW0VD488g/ED44/lES91kkD6rrQcbnhzLUkZ+UQHevHOxH60jTiF17s2HT/Kf+8q8+ev86XQZkhDt0yaqaKiItatW8e0adNc26xWK8OGDWPVqlUVHvPFF18wYMAA7rjjDj7//HPCw8O55pprePDBB3FzO/2/DAovzZGeXYjTaWC1Ko2SiIiINKzmGtMbNGgQs2bNqteYngLp9cEwoDiv9uqy28HpXrX8px4+VSrn7u7ODTfcwLx583j44YddP9QffvghDoeD6667jg8//JAHH3yQgIAAFi5cyPXXX09CQgJ9+/Y9af1Op5PLLruMyMhI1qxZQ2ZmZpncS6X8/f2ZN28eLVq0YOPGjUyaNAl/f38eeOABxo4dy6ZNm1i0aBFLliwBIDCwfOqB3Nxchg8fzoABA/jll19ITU3lpptuYvLkycybN89VbtmyZURHR7Ns2TJ27tzJ2LFj6dGjB5MmTTrp9YhIM2YYsOljM8idl25O6HnTkto/T3E+/PG+uX7Ow2bea1vt3VpnGAbz9wfzyJpzKLI7gS2Vlg/y8SDS34uIAE883KwcOJrHviN5FBQ7ScrIJykjn9WJR8od52NzI9TPxsGMggpzmFssEBfiQ8eoADpG+9Mxyp/+u/vCutVM7m5l8sX9q3Q97SL9+XzyWTz48QYWbjjE419uYd3eozw1phu+nse93akkkL4pKZNxc9aSnltEmzBf3rmpHzFB3lU6f72LG2A+RBrQ4cOHcTgcREZGltkeGRnJtm3bKjwmMTGR77//nmuvvZavv/6anTt3cvvtt1NcXMyjjz5a4TGFhYUUFh770i0rKwsw3186nSf+oq+2OZ1Ogn3csVjA7jRIyy4g3L+SVFLSaDmdTgzDqNefL2kY6uvmQ33dfJxKX5ceW/oAajemV11VjOm5ublx/fXXM2/ePP7v//7PFdNbsGABDoeDa6+9lg8//JAHHnigTEyvTZs2ZWJ6Za77uOfHx/RWr15NZmYm99xzT7lj/Pz8mDt3riumd/PNN+Pn58cDDzzAlVdeycaNG1m8eDHfffcdYMb0So8tref4mN7atWtJTU1l0qRJTJ48mblz57ratmzZMqKioli8eDF79+7lqquuonv37ieM6R1/LX/92ajOz4oC6fWhOA+eaFErVVmAan238n8Hqxx4ufHGG3n66adZvnw5Q4cOBcxvh8aMGUNcXBz33Xefq+yUKVNYvHgxCxYsqFIgfcmSJWzbto3FixfTooX5WjzxxBNcdNFFZcod/81ZfHw89913Hx988AEPPPAA3t7e+Pn54e7uXultH++99x4FBQW8/fbbrnxOL730EqNGjeKpp55yfdgLDg7mpZdews3NjY4dOzJy5EiWLl2qQLqInFhmEiycCjuOyz134BfIOggBtfN33iXxB/P/R0BLGHx/rU4emV/k4O+fb+KjdeaEleYocm8i/b0ID/Ak0t+LyAAvIgM8iQzwItzfEy+P8iNFDcMgLaeQ/UfMoPr+I/nsc63nkZxVQF6Rg7wj5qShgd4edIzy54zoADpEmUHz9pH+ZQPdAMUdYB3mxKfV4OfpzktX96RXq2Ce+HorX204xLbkbF697kzaRvhDUR7kJJuF/xJIX52Yzk1v/UpOoZ0uMQG8NaFv5bnWRaRGnE4nERER/Pe//8XNzY1evXqRlJTE008/fcJA+syZM10jmI6XlpZGQUH9pVhxOp3kZGUS4u1Oep6dbXsPYUTU0aTD0qCcTieZmZkYhoHVWvP0ZXL6U183H+rr5uNU+rq4uBin04ndbsdut5sbi3LxeDquDlpahfbcv7fKMb0bbriBZ555hu+//54hQ8w7VufOncull15KTExMmcGst912G4sXL2b+/PmceeaZwLFAs+u6wfVafPfdd2zbto2vvvrKFdObMWMGo0aNwuFwuI45Pq1fy5Ytueeee1iwYAFTp07Fw8MDHx8f3NzcCAs7Nq9T6bGl9bz77rsUFBTw5ptv4uvrS8eOHZk9ezaXXnop//znP4mMjDQHNwQH89xzzwHQsWNHLrroIpYsWeJKN/hXdrsdp9NJenp6uVHr2dnZVXqNQYF0OU7Hjh0ZOHAgc+bMYejQoezcuZOffvqJGTNm4HA4eOKJJ1iwYAFJSUkUFRVRWFiIj0/VPjxs3bqV2NhY1y8cwIAB5UfSzZ8/nxdeeIFdu3aRk5OD3W4nICCgWtexdetWunfvXmZShEGDBuF0Otm+fbsrkN65c+cytxBHR0ezcePGap1LRJoJp9PMKf7dI1CYBW42GPyAGVBP+hW2LTQn9axN2xaay44jajWIvudwLre+u45tydlYLXDvBR24bUhCjdITWCwWIvy9iPD3oldcSLn9hXYHSUfzSc0uJC7Uh6gAr/KpVioS0sZcluaFr2abbjyrNd1jA7n9f7+xMzWHv720gifHdONv0eYoVjwDwftYDvXvtqRwx3u/UWR30r9NCK/f0Bt/L6X5EjmZsLAw3NzcSElJKbM9JSXlhIMeoqOj8fDwKPMe7IwzziA5OZmioiJsNlu5Y6ZNm8bUqVNdz7OysoiNjSU8PLza7xNPhdPpxGKxEBV0mPS8LIrdfSqcUFUav9K+Dg8PV8CtiVNfNx/q6+bjVPq6oKCA7Oxs3N3dcXcvCZk6Gy506u7uDu5VO3+XLl0YOHAgb7/9Nueddx47d+7k559/5vvvv8disfDEE0/w4Ycflonp+fr6uq7TYrFgsViOXTdmyj53d3d27NhBbGwsrVq1cu0766yzAHM0fOkx8+fP58UXXywX0yvdb7Vay52jVGk927dvp3v37mUyUAwePBin08muXbuIiYnBarXSuXNnvLy8KC4uxsPDgxYtWrBp06YK6y59La1WK6GhoXh5eZXZ99fnlVEgvT54+Jgjw2tB6bdD7u7uVQtGeFRvlMzEiROZMmUKL7/8MnPnziUhIYEhQ4bw1FNP8fzzzzN79my6du2Kr68vd999N0VFRTW8kvJWrVrFtddey+OPP87w4cMJDAzkgw8+4Nlnn621cxzvr99AWSwW3eYlcrrKPACf3GIGlKO6QVRX8xHeAdzqOOCZvgu+vMuc3BGgZR/420sQ0RHcPUsC6V/VbiDd6YDt35jrHUbUWrWLNydz34I/yC60E+Zn44WrezIwIezkB9aQp7sbbcL9aBNezRzjpYH0jH1gLwL38oG1k+kVF8LCO8/mzvfXs3JXOne+v56czklcAxAc5/py4uN1B3jg4w04nAbDzojkpWt6Vjj6XkTKs9ls9OrVi6VLl7pyWjqdTpYuXcrkyZMrPGbQoEG89957OJ1O14fbHTt2EB0dXWEQHcDT0xNPz/J3iFit1noPhlgsFiIDPNl8ENJyihSMacIsFkuD/IxJ/VNfNx/q6+ajpn1dGugtfQDmiPBaiulVl6WKqV1KHR/TmzdvHgkJCQwdOpSnnnqKF154ocKY3vGxxTLXfdzz0m1/3Xd8mVWrVnHddddVGNP76/EVxTOrcy44FtMrfW61Wl1folT4WpYcW9HPRXV+ThRIrw8WS+3ltTUMsNrNb6RqcYRiqSuvvJK77rqL9957j7fffpvbbrsNi8XCihUruOSSS7juuusA80PSjh076NSpU5XqPeOMM9i/fz+HDh0iOjoagNWrV5cps3LlSuLi4nj44Ydd2/bu3VumjM1mw+FwnPRc8+bNIzc31zUqfcWKFVitVjp06FCl9oo0KYd3mnm8wztA++Fm8LcxKcyG98ZCyibzeWlAG8yR4RFnlATWSwLskV3AqxZGKDodsPo/8P2/wJ5vfjF53iPQ92awlgRaO46E7/4Oe36G/KNlRjmfkgO/QN5hc+R0/FmnXJ3d4eTpxdt57UczVUrvuGBeuuZMogKr/s17vfKLNF/v4jzI3F/jyVzD/Dx5Z2I/Zn23nZeX7eLPbRvAA/L9YvEG3vx5N//4yswNP+bMljw1pmuZCUxF5OSmTp3KuHHj6N27N3379mX27Nnk5ua6bqu94YYbiImJYebMmYB5K/FLL73EXXfdxZQpU/jzzz954oknuPPOOxvyMqolMsD825mcWX9pZURERKSB1GZMr44pplf3FEiXMvz8/Bg7dizTpk0jKyuL8ePHA9CuXTs++ugjVq5cSXBwMLNmzSIlJaXKv3TDhg2jffv2jBs3jqeffpqsrKwyv1yl59i3bx8ffPABffr0YeHChXz66adlysTHx7N7925+//13WrZsib+/f7kRStdeey2PPvoo48aN47HHHiMtLY0pU6Zw/fXXl5sMS6RJK8yBn56BlS+Bs9jc5hUInUZDtyuh1UA43UdjOOzw4QQziO4bAef8H6Rth+QNkLzRTLNy6A/zcbzg1seC6uHtIayDGYyt6pcIKVvg8zvg4G/m89ZDYNTzENK6bLnQBIjoBKlbYMe30H3sqV8zmCPcAdpfcMoj7lOzCpj8/nrW7jYnAr3prNY8eFFHPE7ngLHFYvZh6mY4srvGgXQAN6uF+4d3pGdsMMkL3gFgwS53Nn/0Bwt+NXPETzyrNQ+POKNG6W1EmruxY8eSlpbGI488QnJyMj169GDRokWu91z79u0rM8onNjaWxYsXc88999CtWzdiYmK46667ePDBBxvqEqotsmSC0dRsBdJFRETk9KGYXt1TIF3KmThxIm+++SYjRoxw5TSfPn06iYmJDB8+HB8fH26++WZGjx5NZmZmleq0Wq18+umnTJw4kb59+xIfH88LL7zAhRde6Crzt7/9jXvuuYfJkydTWFjIyJEj+fvf/85jjz3mKjNmzBg++eQTzjnnHDIyMpg7d67rD0MpHx8fFi9ezF133UWfPn3w8fFhzJgxzJo165RfG5FGwTBg8yeweDpkl9yC1mogHN1jPv/tLfMR0BK6Xg7dxkJk1f6B1ivDgEUPws7vwN0brvkAYnqV3Z+xFw6VBNVLH1kHzNzaR3fD1i+Olbe4mRNMhneAsPYlyw5moN3T3yxjL4KfnjUfzmJzRPjwf0HP6yq8C6ig2IGtw0isqVtg25e1E0g3jOPyo488papWJ6Yz+b31HM4pxM/TnX9f3o0RXaNPvY31IaQ0kF69CUdPZFinSPLj7bAHtheFuYLo913QnjvOaVu1dGkiUqHJkyefMJXLDz/8UG7bgAEDyo1iakxKR6SnZBU2cEtEREREylJMr25ZDMMwGroRjVFWVhaBgYFkZmaWm+SooKCA3bt307p162olrK+KaudIl1pVl337V06nk9TUVCIiIpTDrYmr1b5O2QLfPHAs/UlwPFz4JLS/EAwn7F0BGxbAls/N0dylIrtCtyugy+UQGHNqbagtq/4Di6cBFhj7DpwxqmrH5aZDykYzwJ66FQ5vh7QdUFTJTNz+LcyAetYhszxAh5Ew8lkIKBt4NgyDX/ceZc7Pu1m8OZlubnv5zH0ahRYvXuv3HXFRobSN8KNNmB/etrK5tqvU16nb4D/9zLQ1DyQeC/JXg2EY/PfHRP69eDsOp0GHSH9eue7M6ucqb0jfToeVL0K/2+CiJ2unzpf7Qdo23mz9HLN3x/DghR25rn9c7dT9F/ob3nzUVl9X9t5Symqo16q0rzcfhYlvraNTdABf33V2vZ1f6o/+hjcf6uvmQ33dfJxKX9dnzEdOXXVipJX1bXXeW2pEuohIU1CQCT88CWteA8NhjuA++14YOAU8Sv5JWNyg9WDzMeIZ2LEINn4IOxabgefvNsJ3j0Lrs6HrldDpktrJNV4T276Gxf9nrp8/o+pBdADfUGgz1HyUMgzIPmSmhTm8o+wyN9UcqV86et8nDEY8DZ0vLTMKvdDu4Ks/DjF35W42JR37EuJ3eysOuIXRksNs+PEzZjmPjZqPCfKmbYQfCeF+JcF1HzwdhXgHFBPgbav4n/32ktHorYfUKIiemV/M/R/+wbdbUgC4rGcM/7y0Cz62RvYvv3TC0VoakY5hmHdlABNHDeXG4Nb6QlpEaiSqZES6UruIiIiINC+N7FO1iIiU4XTCH+/DkkchN83cdsbfzHQkQa1OfJyHF3QebT7yjsCWz2DDh7BvJez+0XwseRTO/TucecOxyTXrw8Hf4eOJgAG9xptfBpwqiwUCWpiPhHPK7ss/ao5YP7wdinLNLxF8Q127D+cU8r/V+3hn9V4O55i38Xu6W7nszBhuGBCPr80dY/FI2PEWt0ZuIcM2jJ1pOWTkFZOUkU9SRj7Ld6T9pUGbsFogwNuDwOMeAd4ePHTgQ2KB5dY+JK3Zh6+nG4V2p/kodlDkcFJYXPLc7qDQ7qTouP2bD2aRlJGPzc3Ko3/rxDV9WzXOgHFpIP3o7tqpLycF7AVgsUJgbON8TUTktBBRkiP9cE4RxQ7n6T3nhIiIiIjUGgXSRUQaq4Pr4ev74cAv5vOw9nDRU5BwbvXq8QmB3jeaj6N7zVHqv//PHAn81d3w6xy46N8QN6DWL6GczCR4/yoozoM255gj5+s64OkdDK36mY/jbD6YydwVe/ji94MUOZwARAZ4csOAeK7u24oQX9uxwgOugB1v0btgDR9N7gtu7qTnFLIrLZddaTnsTM1xLVOyCih2GDgNyMgrJiOv2FVNBEeJ9doKwH0bYkjbsLFGlxQT5M0r151Jt5ZBNTr+tOAKpO8Bp+PUv8wpGY1OYMtTnsBVRJq3YB8bHm4Wih0GadmFtAjybugmiYiIiEg9UCBdRKSxyUyCH5+GdfMAA2x+MORB6HcruNtOdnTlguNg8H0w6C745Q1YNhOSN8DcC8386efPqLsc6oXZ8N5YMwVL+Blw5Vv1HvB0OA2+25LC3BW7WbP7iGt7j9ggbjyrNRd1iap45GGrAeAdAvlHYN8qaH02oX6ehPp50rd1iKuY0+kkJSWFgOAwcoocZOYXm488cxn953uwDQ74dubsTl3Iyi8mr8iBp7sVT3c3bO5Wc93DfF663Xxurvt6ujG0QwSB3o08WBwQA1YPcBRBVlLld1hURWkgPTj+VFsmIs2c1Wohwt+LpIx8krMKFEgXERERaSYUSBcROd0ZBhz6HbYvgh3fwKE/ju3reqUZ3P7LhJinzM0D+t8GXa+ApTPgt7dh00ew/Ws4eyoMOC73em1w2OGjiWaudt8IuGY+eAXWuDqn0yApI5+UrALyihzkFTnIL7aby5JHXnHJsujY9u0p2Rw4mg+Au9XCRV2jmTAonjNbBVd+Qjd36HCROZJ/21dmnvkTsFgseNvc8PXyIDLgL6/h1jUAtOx/ObPO7lHj628SrG5m0Dv9TziyW4F0ETmtRAZ4kpSRT2qW8qSLiIiINBcKpNchp9PZ0E2QWqY+lXpTnG/mKd/+jTkpaPah43ZazBHQ506H+EF12w7fMPjbC9B7AnzzIOxfA9//E357B4Y/AR1H1k7qlcX/B38uNidJvfoDc2R8FRiGwaHMAnakZJc8cvgzJZs/U3PIK3LUqClBPh5c07cV1w+IIzqwGqMMO15cEkhfCBc+Wf3XpSALEpeX1DWyesc2VSFtSgLpidBmyKnVpUC6iNSi0i9CU7IKG7glIiIiUtsU+2l6aqtPFUivAzabDavVysGDBwkPD8dms9XapGaGYWC323F3d9dEafXIMAyKiopIS0vDarVis51i+gyRiuSkwJ/fmoHzXcvAnn9sn4evOUlmhxHQ7gLwC6/ftrXoCTcuNvOnf/cIZOyF+deaecwvfBIiOta87tWvwtrXzPXLXoOWvSoslp5TyNZDZsD8z9Rstidn82dKDtmF9grL29ysRAV64WNzK3m44+1ad8PL47jtJetBPjaGtA/H21aDfNwJ54CHD2TuN+8aaNGjesfvXALOYghta+a7FwhpbS6PJJ56XUdKJi1VIF1EasGxQLpGpIuIiDQVdRnPk9pXlRhpbcfzFEivA1arldatW3Po0CEOHjxYq3UbhoHT6cRqteqXuQH4+PjQqlUrrNYKciSL1NQf7xOy6lWsqRvKbg9oCR0uhPYXQfxZtZtKpSYsFuh2pRnM/+lZWPUSJC6DVwZCv1vMPO3eQdWrc/siWDzNXB/2OHS6xLUrp9DOmsR0ft55mJU709mekl1hFW5WC63DfOkQ6U+7SD/aR/rTPtKf+FAf3CvKZ15XPLyh7Xmw9UszvUt1A+nbFprLDiPqfoLVxqJ0wtHaCKS7RqS3PvW6RKTZKw2kJyuQLiIi0mTUZTxPal91YqS1Fc9TIL2O2Gw2WrVqhd1ux+GoWXqBijidTtLT0wkNDVUwt565ubnpTgCpfXt+xvr57bi+E21xpplru/2FENX19AyoevrBsEfhzOth8cNm3vTV/4Ff3oSgWDOXdWBsyXrcsXX/aDPvdalDf8BHN4LhhDNvoKjfFNYnprNi52FW7Ern9/0ZOJxGmVO3DvOlXYQfHaL8aRfpT4dIf1qH+WJzP03+HnYcVRJIX2im3qkqexH8+V1JHRfXTdsao9JAemkQvKaK8iAn2VzXiHQRqQWRAZ4ApCq1i4iISJNSV/E8qX1VjZHWZjxPgfQ6ZLFY8PDwwMPDo9bqdDqdeHh44OXlpUC6SGPndMK3ZrA1v+3FeI56GmtgiwZulMkwjJP/kwlpA1e/b6YkWTQNDu+A9J3moyJWdwiIMQPtQa0wdn2PpTiXA8H9eCTtalbN+I784rJvVOJCfRjUNoxBCWEMSAglxPc0T6vU/gLzOlO3QPouCE2o2nF7f4bCTPANh5a967aNjUnwcaldDKPmXyxl7DOXnoHgfZKJY0VEqkCpXURERJquuojnSe1riBipAukiIg1l8ydwcD2GzY/sgdPw9I9qsKY4nAYbkzJZsfMwK3cdZt3eo7QK8eGB4R0574yIyoPqbYfB7eeaedMz95tBy4ySZenzrCRw2s0yGXsBsAA7nDGMOTSJbI4CEOZnY2BCGIPahjIwIYzYEJ96uPpa5B1spuFJ/MFM7zLorqodt+1rc9nhorKj9pu7oFZgsUJxnjmHQE1/R1xpXeJOz7s8RKTRKR2RrtQuIiIiIs2HAukiIg3BXghLHwfAGHgXTp+wej29YRjsTM1xpVFZnZhOdkHZSTt3pORw09u/MqBNKA+PPIMuMYEnrtBqNSeGDDlB/mmng+KMJJauWceKX34joDCZQEsuH1hH0qdjPAMTQjmrXRgdIv0bf/qkjheXBNIXVi2QbhhmehyADiPrtGmNjrvNTA2UsdecLPSUA+nxtdUyEWnmSkekZxfYySuy42PTxyoRERGRpk7v+EREGsLa182R2v7RMOB2OJpT56c8cDSPlbvSWbnzMCt3pZOaXTava4CXO/3bhDKobRi94oL5asMh5qzYzarEdEa99DOX9WzJ/cM7EBVYvUlPDcNg8ZZU/r0okcTDNqA/caE+3HdBBxZ3icKjPicErQ8dR8LX98H+tZCdAv6RlZc/9Ls5Yt/DF9oMqZcmNiohbUoC6YkQN6BmdSiQLiK1zM/THR+bG3lFDlKzCokP08cqERERkaZO7/hEROpb/lH48Wlz/ZyHwcMHqHog/fPfk/jktySKHU6choHTAKfTwGkYOIySmasNA4fz2HpuoYOkjPwy9Xi6W+kTH8LAtqEMSgijS0wgbtZjo8G7xARybb9WPL14O1/8cZCPfzvAwo0HufnsNtwyJAFfz5P/C/llzxFmfr2V3/ZlABDqa+PO89pxdd9Wp88EobUtoAXE9IKkdbB9IfS+sfLy2xaay7bngod33bevsQlpDYnLzEB6TSmQLiK1zGKxEBngxe7DuaRkFRAf5tvQTRIRERGROqZAuohIffvxGSjIgIjO0OOaKh9mGAYvLN3Jc0t21Oi0blYL3VsGMqhtGAMTwujZKggvj8rzcceG+PDC1T258azW/POrLfy69ygvfL+T99bu594L2nNl79gywfdSO1OzeWrRdr7bkgKAt4cbk85uzaTBbfD3agYTtnS82Aykb6tKIP3rY8dIeSFtzKUC6SJymonw92T34VzlSRcRERFpJhRIF5G64XTAl3dC2g649kPwDmroFp0eju6Btf8118+fYU4s6XSe9DCH0+Dvn2/ivTX7ALhxUGu6x5ojyK0WC1YLJUsLVutx6yXPPdysdIzyr3EQu0dsEB/eOoDFm5OZ+c029qbnMe2TjcxbsYf/G3kGQ9qHA5CSVcDsJTuY/8t+nIYZvL+ydyz3DGtHRED1UsI0ameMMnPgJy6HgkzwOkF++SO7IXUzWNyg3QX128bGojSQfnR3zY43DAXSRaROlKY6S80qPElJEREREWkKFEgXkdpnGPDNg7D+XfP52tdhyP0N26bTxdJ/gKMI2gyFtudV6ZCCYgd3vr+eb7ekYLHAjEu6cH3/uLptZwUsFgsXdonm3I6RvLN6Ly8s/ZPtKdmMm7OWwe3D6RQdwFsr95Bf7ADggk6RPHBhR9pG+NV7WxtcWDsIaw+Hd8Cf30HXyysuVzrJaNxA8Ampv/Y1JsElE9imJ5p/W6o7GW1OCtjzwWKFoFa13z4RabZKJxxN0Yh0ERERkWahiSaoFZEGtfIF+OX1Y8/XvAJFeQ3XntNF0m+w6SPAYo5Gr0JAMCOviOveWMO3W1KwuVt55dozGySIfjybu5WJZ7Vm+f1DmXhWazzcLPy4I41Xl+8iv9jBma2C+OjWAfz3ht7NM4heqjRVy7avTlymND96x5F1357GqnQUeWGmOb9AdZWORg9sCW7NIK2QiNSbCH9PAFKyNSJdREREpDlQIF1Eatemj+G7R8z18/9hBsHy0uG3txu0WQ3OMODbv5vr3cZCdPeTHnIwI58rXl3Fr3uPEuDlzrsT+3Fhl+g6bmjVBfnY+PvFnVgydQijurege8tAXr2uFx/fNpDe8RpdzRklgfQ/v4PiCkYr5qbDvlXmeocR9deuxsbmA/4tzPUjNUjvorQuIlJHXCPSMzUiXURERKQ5UGoXEak9e1bAp7ea6/1ug0F3gs0XFk6FlS+aky662xq2jQ1lx2LY+zO4ecK5009evCRlyqHMAqICvHjrxr50iPKvh4ZWX1yoLy9e3bOhm3H6ie5pBoCzD8Lu5dB+eNn9OxaB4YTIrhDcsHcZnPZC2piv45FEaNmrescqkC4idaQ0R3pKtgLpIiIiIs2BRqSLSO1I2w4fXG3m/z5jFAz/l7m9x7XgFwlZB2Djhw3bxobisB8bpd//NgiKrbT4L3uOcPkrKzmUWUDbCD8+vn3gaRtEl0pYrcdStlSU3qU0P7rSupxcSLy5PJJY/WMVSBeROhLpfyxHumEYDdwaEREREalrCqSLyKnLToF3L4eCTGjZFy57Haxu5j4PL+h/u7m+YjY4nQ3WzAaz/h04vB28Q+DsqZUWXbw5meveWENWgd2VazwmyLueGiq1rjS9y7avwek4tr04D3YuNdc7Kq3LSYW0MZcKpIvIaSQiwMyRXlDsJKvA3sCtEREREZG6pkC6iJyawhx47wrI3AchCXD1B+Dxl8Bv7xvBKxAO74DtCxumnQ2lMAeWPWGuD3nQfB1O4L01+7jt3XUU2p0MOyOS/93UnyCfZpoKp6mIGwReQZB3GPavObY98Qew50NgLER1a6jWNR6lgfSjypEuIqcPLw83Ar3NSYxTspTeRURERKSpUyBdRGrOYYePJsChP8AnDK77CHxDy5fzCoA+k8z1n2aZE2/WhoIsWDQNNiyonfrqwsoXITcVglubXyhUwDAMXl91kOmfb8ZpwFV9Ynn1ujPxtrnVc2Ol1rl5QPsLzfVtx75EspSmdekwAiyWBmhYIxPc2lxWd0R6cT5kHypbh4hILYoKOJbeRURERESaNgXSRaRmDMOcRPTPb8HdG66Zf2zUaEX63QruXnDwN3PixdrwzYOw+j/wyST46h6wF9VOvbUlOxlWvmCuD3u0wolWix1OHv5sM2+uMYN9d57XjpmXdcXdTX+em4zS9C5bvzR/b5wOc6JRUFqXqgopCYLnpplfoFVVxj5z6RkA3sG13y4RafZK07ukZBU2cEtEREREpK4pUiMiNfPTs/DbW4AFLn8TWvauvLxfOJx5Q8mxs079/Fu/hD/eM8+PBX6dA2//DXJST73u46zbe4TXf0wkM6+4+gf/MNPMhd2yD3QaXW53Rl4R4+eu5YNf9mO1wD8u6czU89tj0QjlpiXhXPNLpIy9kLIJj5T1WPLSzTQ/cYMaunWNg1egedcLVC+9y5GSssHxGvkvInUiUiPSRURERJoNBdJFpPr+mA/f/8Ncv+jf0HFk1Y4bOAWs7uaI9KR1NT9/Tip8eZe5PuguczS8ZwDsWwX/HQoH19e8bsxUKyt3Hubq/65mzCur+NfXWxn54k+s33e06pWkboPf3jbXL/hnuSDerrQcLv3PSlbsTMfH5saTFydwbb9Wp9RuOU3ZfCHhPHN9+9d47SmZZLTdcDP1i1SNa8LRagTSlR9dROqYUruIiIiINB8KpItI9SQuh8/vMNcHToF+N1f92KBW0PUKc/3n52p2fsOAL+6EvHSI7ALn/B+0Hw6TvofQdpCVBHMuhA0f1qBqg2XbUhnzykqueWMNqxLT8XCzEOHvyYGj+Vzx6ir+++MunM4q5Hhf8igYTuh4MbTqX2bXT3+mcenLK9h9OJeYIG8+vKU/gxOCqt1eaURKvmyybPsKz91LymyTKgqpQZ50BdJFpI5FulK7KJAuIiIi0tQ1eCD95ZdfJj4+Hi8vL/r168fatWtPWLa4uJgZM2aQkJCAl5cX3bt3Z9GiRWXKPPbYY1gsljKPjh07lilTUFDAHXfcQWhoKH5+fowZM4aUlJQ6uT6RJiVlC8y/DpzF0PlSGDaj+nUMuttcbv0K0nZU//j178KOb8DNBpe+Bu7mB1jC2sGkpeYoX3sBfHITfDvdzEd9Ek6nwaJNh7j4xZ+ZMO8XftuXgae7lfED41l+/zksmXo2I7tFY3caPPH1Nia+9QtHcivJx777JzMHttUdhj1eZtfbq/Ywfu4vZBXY6RUXzOeTB3FGdED1XwdpXDpcBBY3LCmbcM/ah+Fmg7bnNXSrGhfXiHQF0kXk9BHhGpGuHOkiIiIiTZ17Q558/vz5TJ06lVdffZV+/foxe/Zshg8fzvbt24mIiChXfvr06bz77ru8/vrrdOzYkcWLF3PppZeycuVKevbs6SrXuXNnlixZ4nru7l72Mu+55x4WLlzIhx9+SGBgIJMnT+ayyy5jxYoVdXexIqcLwzCDSwd+gUN/QFEuOIrM4LO9sGS9sGS90JzA01HyPC/dzPndaiCMfhWsNfguLqIjdBgJ2xfCitkw+j9VP/boHlj0kLl+zsMQ1aXsfq9AuPp9WPYvM4f7yhfN4P/lb1Y40aDDafDVhoO8vGwnO1JyAPCxuXFd/zhu7ulN2J6FsOAOOLielzx8eDrQj/0FnmTs9mXTM36c0boV4eGR4B0EXkEly0AzNzpArwkQ1hYwJxV9/MvNvLvanPzwsjNjmHlZVzzd3XA6nVV/DaRx8gmBuIGw5yfzeesh4OnfsG1qbEoD6aXB8apQIF1E6phypIuIiIg0Hw0aSJ81axaTJk1iwoQJALz66qssXLiQOXPm8NBDD5Ur/8477/Dwww8zYsQIAG677TaWLFnCs88+y7vvvusq5+7uTlRUVIXnzMzM5M033+S9997j3HPPBWDu3LmcccYZrF69mv79+1d4nEijVVxgBsz3ryl5rIXcU5iQM6IzXPU/8PCqeR1nTzUD6Rvmw9BpEBR78mOcTvjsdijKgVYDzLQyFbG6wXmPmGlfPr8Ddi2F18+Fq943g/iYQe1P1yfxyg+72H04FwB/T3du7RvE+OCN+O54CV77GTiWwsVSnIcPeXQomdsUA0j8FU40ONbmD0MeBMxJRe947zdW7EzHYoEHL+zILYPbaFLR5qbjxa5AutFhBOr9agquZmqX0i8NQYF0EakzpTnSU7MLcToNrFb9dRcRERFpqhoskF5UVMS6deuYNm2aa5vVamXYsGGsWrWqwmMKCwvx8iobvPP29ubnn38us+3PP/+kRYsWeHl5MWDAAGbOnEmrVuYkfuvWraO4uJhhw4a5ynfs2JFWrVqxatUqBdKl8ctONoPlpUHzQ7+bo8yPZ/WA6O7Qsjd4h4C7Ddw8zTQp7p4l6zZw9zJTqLi2eUJ4R3A7xT8dLXtD/NlmUHHVS3DRUyc/ZvXLsHcFePjC6FfMgHllulwGoW3hg2vNwNsb58Fl/+Xzgh78e9F2kjLyAYj2tvNY+32ca/8Rj3Xfg9N+rI7Y/tD1cmh3ARgOyM+AgkwKso/w5Zot7Np3gEBLLu0DHQyKccfLngUFmVCUZ06C6hfOrrQcbnrrV3YfzsXH5sbzV/Xk/E6RNX/tpPHqOBJj0UNgsUL7Cxu6NY1P6Yj0rCQozgcP78rL56SCPd98vQOr8GWdiEgNhPnZsFjMu9zSc4sI9/ds6CaJiIiISB1psED64cOHcTgcREaWDShFRkaybdu2Co8ZPnw4s2bNYvDgwSQkJLB06VI++eQTHI5jOZD79evHvHnz6NChA4cOHeLxxx/n7LPPZtOmTfj7+5OcnIzNZiMoKKjceZOTk0/Y3sLCQgoLj+U+zMrKAsDpdNZrWgan04lhGEoF0QxUu6//+ADL8plYMvaV22X4hkPLvhixfaFlX2jRwwyS17xxJy2SnFnAM9/uYN3eo+YGizmQ22KxYLVAL/sw/s1PFKyZww1bzyLLGojFAkHeHtw/vAM9YoOOVZa6BcvSGVgA5/B/QVBcldpAZBe4aSmWjyZg2fszfHANu4ov57DjYsb4bOG2sN9JOPozlu15rkOMyC4YXcZA58vMyVGPV9IkGzCm26V88lsSj3yxmbx0B6EFNmZd2Z2z24W5iv+0PZUp768nq8BOiyAvXr++F2dEB5TrU/1eNxMBMRhXvE1mdg4BvhFV+xmWY7yCsHgGYCnMwpmeCBFnVF7+SCJWwAiIwbC61/vrrd/r5qO2+lo/K42Tu5uVMD9P0rILSckqUCBdREREpAlr0NQu1fX8888zadIkOnbsiMViISEhgQkTJjBnzhxXmYsuusi13q1bN/r160dcXBwLFixg4sSJNT73zJkzefzxx8ttT0tLo6Cg/nIiOp1OMjMzMQwDa03yU0ujUa2+NgzCv3sEa14aBhbsoe0pjuxJUVRPiiPPxBEQC8enETmSBWTVSbuLHU4+WJ/KnDWHyC8+cVBgF225ztaabtbdDDryMc/Zr3DtGz9nLa+N7UDrEG9wFBH6yU14OIooaDWUjJgLIbWaqWkueJXipf8kNvEDpnp8xBTb53g4i6GkGntAHAXtRpLf9mIcwQnmxiJOep6zWnow56qOTP86kZ2H8xk/9xdu6BPFpAEt+GxjGs/9sB+HAV2jfXny4gRC3QpITS3/90K/182HM7g3mdZMClJT1dc1EBoQi0faZjL3/E4hoZWW9dq7gSCgyLcFR6v7N6MW6Pe6+aitvs7Ozq7FVkl9igw4FkjvEhPY0M0RERERkTrSYIH0sLAw3NzcSElJKbM9JSXlhPnNw8PD+eyzzygoKCA9PZ0WLVrw0EMP0aZNmxOeJygoiPbt27Nz504AoqKiKCoqIiMjo8yo9MrOCzBt2jSmTp3qep6VlUVsbCzh4eEEBARU5ZJrhdPpxGKxEB4erg/mTVy1+jptuxlEd/fCuGcLbt7BuAGnMOa8Rn768zCPf7mNxJK842e2CuLOc9vi5+WOYYDTMDBK0o4bhoHn3qnw0xRu915K79GPYHf3ZfaSnazfn8F9X+zm41v7E/nrM1jSt2J4h2C7/FUi/KqfFuVQZj5j9l/BkOIAnvCYi4dRjOEfDZ0uxegyBmuLnvhYLPjU4JojIuCLhBj+uXAr763dz1u/JLPkz0xX6phLe7bgidFd8PQ4cSoa/V43H+rrU2MJbw9pmwl0HDF/+Sqz1bwbxhbZocIJzOua+rr5qK2+/mv6Qmk8ogK82JSURUpW4ckLi4iIiEij1WCBdJvNRq9evVi6dCmjR48GzA8iS5cuZfLkyZUe6+XlRUxMDMXFxXz88cdceeWVJyybk5PDrl27uP766wHo1asXHh4eLF26lDFjxgCwfft29u3bx4ABA05Yj6enJ56e5W/VtFqt9f4B2WKxNMh5pf5Vua9LJjC0tOqPxbfyUZp1ISkjn398uYVFm830SGF+Nh666Awu6xlT+aRbba6FLc/jkb6TQRlfwaA76doymDGvrGT34Vz+/ea7PJvzHACWi5/DEhBd7bblFtqZ9PZvpGYXsiFyFIVXTsDDkYWlZR+wutXKhI8+nlaeuKwbA9uGMe3jjSRl5GOxwAPDO3LrkKpNKqrf6+ZDfX0KQs0vzq1Hd8PJXr+MPQBYQuKxNNBrrb5uPmqjr/Vz0nhFlEw4mpJVf3epioiIiEj9a9DULlOnTmXcuHH07t2bvn37Mnv2bHJzc5kwYQIAN9xwAzExMcycOROANWvWkJSURI8ePUhKSuKxxx7D6XTywAMPuOq87777GDVqFHFxcRw8eJBHH30UNzc3rr76agACAwOZOHEiU6dOJSQkhICAAKZMmcKAAQM00ag0XruXm8vWQ+r1tAXFDt74KZGXlu2koNiJm9XCDQPiuHtYewK9PU5egdUNBt0NX0yGVS9Dv1sI8fXkrQl9ueY/S5mS+QwWqxNHlytx6zy62u1zOg3unv87Ww5lEepr441xvfELqcm486q5uFsLusUE8dqPuxjWKZJzOtT/KFiRJq10wtGju09e9ugecxkcX1etEREBINJfgXQRERGR5qBBA+ljx44lLS2NRx55hOTkZHr06MGiRYtcE5Du27evzOicgoICpk+fTmJiIn5+fowYMYJ33nmnTIqWAwcOcPXVV5Oenk54eDhnnXUWq1evJjw83FXmueeew2q1MmbMGAoLCxk+fDj/+c9/6u26RWqV0+EakU6b+gukf78thce/3MLedHOizr6tQ3j8b505I7qaqY66jYUfZkJWEvz+HvSeQKtQHz5vv5jQrSkcNEJ4segGnjCMKo3sPt5Ti7fx3ZYUbO5W/ntDL2LrMIheqlWoD/+6tGudn0ekWQpubS6PJJ68rALpIlJPIgPMu1YVSBcRERFp2hp8stHJkyefMJXLDz/8UOb5kCFD2LJlS6X1ffDBByc9p5eXFy+//DIvv/xyldspcto69DsUZIJXIET3qNahyZkFFDuc+Hq64+fpjs395LeV70vPY8ZXm1my1Zy8L8Lfk4dHnsHfureodqAbAHcbDJgMi6fBiufhzBsgcRmhW98B4EH7rfy0IYugkO08eGHHKle74Nf9vLbcDLY9fXk3esWFVL9tInJ6KR2RnrEP7EXm34+KFOdD9iFzvTT4LiJSRyIDS0ekK0e6iIiISFPW4IF0ETlFiT+Yy/izzVQpVWAYBv/4aitzVpRNj2Bzs+Lr6eYKrPt5updZNzD47PeDFNmduFst3HhWa6ac2xZ/ryqkcalMr3Hw47/NdA3r5sLyp83tfW9hVMQ1/PTRBl75YRctAr24fkD8SatbnZjOw59uBODOc9tySY+YU2ufiJwe/KPA3Rvs+ZC5H0ITKi6Xsc9cegaAd3D9tU9EmqXS1C6p2RqRLiIiItKUKZAu0tglVi8/utNpMP3zTby3xgw0eXlYKSh2AlDkcFKU5+RoXnGldQxqG8rjf+tM2wj/mrf7eDZf6HermeJl4b3mttB2MOwxrrT5kJxZwKzvdvDIF5sJ9/fiwi5RJ6xqz+Fcbn13HcUOg5Hdorl7WPvaaaOINDyLxRyVnroZjuw+cSDdldYlzjxGRKQOlaZ2OZxTRJHdWaU7/ERERESk8VEgXaQxKy6A/WvM9SrkR3c4DR76eAMfrjuAxQJPjenGlb1jsTuc5BY6yCmyk1toJ6fQTk7BsXXXsshBz9ggzu8UWbM0LpXpezOseAGKc8HiBpe9BjYzp/mUc9tyKLOA99fu464P1vPepH4VpmrJzCvmxrd+ISOvmO6xQTx7RXesVgXRRJqUkNYlgfRK8qQrP7qI1KNgHxsebhaKHQZpOYXEBHk3dJNEREREpA4okC7SmO1fA/YC8IuCsMpHXtsdTu7/aAOfrk/CaoFZV/ZgdE8z5Ym7m5VAHyuBPqeYouVU+ITAgNvhx6dh6DSI6eXaZbFY+MclnUnLLmDJ1lQmvvUrH906kLYRfq4yxQ4nt7+3jsS0XKIDvXj9+l54eVQt1Y2INCIhVZhwVIF0EalHVquFCH8vkjLySckqUCBdREREpInSfYcijdnukrQubYZUmr6g2OHkrvm/8+n6JNysFl64uqcriH5aGfp/MOU3GHJ/uV3ublZeuLon3WODyMgrZtyctaRmmblIDcPg0S82s2JnOj42N94Y15uIAK/6br2I1IfSCUeP7j5xGVcgXRONikj9KE3vUvreRERERESaHgXSRepL6lYzFUttKs2P3mboCYsU2Z1Mfu83Fm44hIebhf9ceyYXd2tRu+2oLVbriXMeAz42d+aM6018qA9JGflMmPcLOYV25q7Yw3tr9mGxwPNX9aRzi8B6bLSI1KtgjUgXkdNPZMkX+MmZCqSLiIiINFUKpIs4nfDhBHjnUijIrJtzLP83/Kc/fH1f7dVZkAkHfzPXTzDRaEGxg9veXcfizSnY3Ky8dn0vhnc+8USdjUGonydv3diXMD8bmw9mceWrq/jnwi0ATLuoI+d3imzgFopInXKNSN8DTkf5/YahQLqI1LvSQHpKdmEDt0RERERE6ooC6SI7voHNn8Cu782AusNeu/Vv+gSW/ctc3/gRFGbXTr17VoDhhNC2EFg+TUtBsYOb31nH0m2peLpbeWNcb87t2DSCzHGhvswZ3wcfmxtbDmXhNGBs71gmnd2moZsmInUtsCVYPcBRBFlJ5ffnpEJxHlisEBhb/+0TkWbJFUhXahcRERGRJkuBdGneDMOc3LLUrqXwzf3m9tqQtA4+u81ct7iBPR+2LayduhN/MJcVjEbPK7Jz47xf+HFHGt4ebswd34fB7cNr57yniW4tg3j52jPxtbkxtEM4/xjdBUsleeJFpImwuh0baX6kgjzppaPRA1qCu62+WiUizVxpjnQF0kVERESaLgXSpXnbtRQOrgcPHxj1PGCBX+fAqpdPve6sg/D+NWAvgHYXwOCStC4bFpx63VB2otHj5BTaGT/nF1buSsfX5sZbN/ZlYNuw2jnnaeacDhGs+/v5zB3fB5u7/pyJNBshleRJd6V1iau35oiIHBuRrtQuIiIiIk2VIk/SfBkGLC8Zjd77Rug1Hi74h/n82+mw9aua112UB+9fBTnJEH4GjHkTul9l7ktcBtkpp9R0spMhbRtggfizXZuzCoq54c01rN1zBH9Pd96e2I++rUNO7VynOS8PN41EF2luSvOkVxpIj6+v1ohIc1CcDz89Q8CPj5mp9f5CqV1EREREmj4F0qX52rsC9q8GN08YMNncNmCyGVTHgI9vgqTfql+v0wmf3QqH/gCfULjmA/AKMAM/LfuYH742fXxqbd/9o7mM7gY+ZqA8M6+Y699Yw2/7Mgj09uB/k/rRKy741M4jInI6ck04WklqFwXSRaQ2Wd2xLHsCny3vQ+7hcrtLU7tkF9jJK6rl+XZERERE5LSgQLo0X8v/bS7PvB4Cos11iwUuehoSzjPzmb9/FWTsr169P8yELZ+bk+GN/V/ZYE63seZy4ymmd0ksSevSegiJaTn846stDH56GX8cyCTYx4P3JvWjW8ugUzuHiMjpKrg0tYsC6SJST9w8wC/CXM8+VG63n6c7PjY3QOldRERERJoqBdKledq/1swxbnWHQXeV3efmDlfMg4hOkJMC742Fgqyq1bvhQ/ixJEA/6nmIG1B2f+dLzUlHD66Hw3/WrO2GgbH7BwCe3BHJuc8u582fd5OZX0xcqA8f3DyAzi0Ca1a3iEhjcHxql79ODl0aSC/Noy4iUlv8SwZeZB0st8tisSi9i4iIiEgTp0C6NE8/PmMuu18FQa3K7/cKgGsWgF8kpG6GjyaA4yS36R74FT6/w1wfdBf0vLZ8Gd8waDvMXK/BpKOHMvOZ88VSLJkHKDTceetANBYLnNcxgrnj+/D9vUPpEOVf7XpFRBqVoFZgsUJxnvmFZ6niAsguCXAFK5AuIrUsoIW5rGBEOhxL76JAuoiIiEjTpEC6ND+H/oA/F5tBmLOmnrhcUCxc/QG4e8POJbDowfIjH0tlHoD3rwZHIXQYAec9euJ6u11pLjcuOHF9x3E6DZbvSGPS278y6Mnv2bn2awA2Wdpz4zmd+emBc3hzfB/O6RiBm1WTbopIM+Bug8BYc/349C4Z+8ylZwB4a44IEallJSPSLRWMSIdjE46mKrWLiIiISJPk3tANEKl3paPRu4yB0ITKy8acCWNeh/nXwy9vQEgCDLi9bJnCHHjvKshNhcgucNl/wep24jo7jACbn5l+4MAvENu3wmJHcot499dkvtyylb1H8lzb/+a/HQqg+5DR9DqnYxUuWESkCQppDRl7zfQupWm0SicfDY4z57wQEalFhn80FqhkRLoZSE/WiHQRERGRJkkj0qV5Sd0KW78w18++t2rHnDEKzp9hri/+P9i28Ng+pxM+vQVSNoJvOFz9PnieJLWKzQc6Xmyub5hfbndKVgEzvtzCWf9exks/J7H3SB7+Xu6MHxjPknvOor9lCwDuCUOr1n4Rkabo+DzppTTRqEiDePnll4mPj8fLy4t+/fqxdu3aE5adN28eFoulzMPLy6seW3sKTpLaJcJfqV1EREREmjKNSJfm5adnzeUZoyDijKofN3CKGaxZNxc+vgkmfA0tesL3/4BtX4GbDa56r+J86xXpdiVs+AA2fQIXPgluHhw4msery3ex4JcDFDmcAHSI8GH8WW24pEcMPjZ3My1N/hFzRHvMmdW8eBGRJqQ0kH70uNQuCqSL1Lv58+czdepUXn31Vfr168fs2bMZPnw427dvJyIiosJjAgIC2L59u+u5pbHcQVI62egJAulRgUrtIiIiItKUKZAuzUf6Ltj0sbl+9n3VO9ZigRFPm2kEdn1vpnLpfxv8PMvc/7eXTpiipUKth4BvBOSmkrp+Ic/uacPHvx3A7jRzpveJD2byOQm0D3ASGRmJ1Vpy80jicnMZNwjcPKp3DSIiTUnpZKIakS7SoGbNmsWkSZOYMGECAK+++ioLFy5kzpw5PPTQQxUeY7FYiIqKqs9m1o7SEelZSRXuLk3tkpKtEekiIiIiTZFSu0jz8fMsMJzQbji06FH949084Ip5EH4G5CTDkpIJRc++F7qPrWZd7mQk/A2ANZ+/yvxf92N3GgxqG8r7k/qz4JYBnN0uvPwIrd0lgfQ2Q6rffhGRpqR0RHp64rGJmxVIF6lXRUVFrFu3jmHDhrm2Wa1Whg0bxqpVq054XE5ODnFxccTGxnLJJZewefPm+mjuqSudbLQw25wj5y8i/UtypGcWYFRhQnkRERERaVw0Il2ah4x98McH5vrgao5GP55XIFy7AF4/z5xctOPFcM70alWxLTmLF7/fyf5N8Xxhg2HWdVzYzpdJw7rTKy7YVa7cBzB7Eexdaa63ViBdRJq50mB5YSbkHwXv4OMC6a0bqlUizcrhw4dxOBxERkaW2R4ZGcm2bdsqPKZDhw7MmTOHbt26kZmZyTPPPMPAgQPZvHkzLVu2rPCYwsJCCguPpUvJysoCwOl04nQ6a+lqTs7p4QsevliLc3FmJkFYuzL7w/zMuwUL7U4y8ooI9Nbdg42V0+nEMIx6/fmShqG+bj7U182H+rr5qK2+rs7xCqRL87DieXDazQB0dVKwVCSoFUz8FhKXQberwFq1Gzs2Hsjkxe//5NstKSVbWpPsEUtU8X5e7XUI4oZWXkHSr1CcBz5hENHplC5BRKTRs/mAfwvIPghHdkOQ3fwbabFCYGxDt05ETmDAgAEMGDDA9XzgwIGcccYZvPbaa/zjH/+o8JiZM2fy+OOPl9uelpZGQUH9pVFxOp2EeoXhWZxLxv4tFDkDy5UJ8HIjq8DB1j0HaRPqXW9tk9rldDrJzMzEMIxjKRalSVJfNx/q6+ZDfd181FZfZ2dnV7msAuly+ss6BJs+gs6XQWBMzY7/7R1zffD9tdOmkNbmowrW7T3Ci9/v5IftaUBJuvWu0Uw+py1RO26AZf+CDfOhx9WVV1SaH7314CoH70VEmrSQ1iWB9EQwHOa2gJbgbmvYdok0E2FhYbi5uZGSklJme0pKSpVzoHt4eNCzZ0927tx5wjLTpk1j6tSprudZWVnExsYSHh5OQEBAzRpfA06nE0dAC8jeS5BbPlQwmWpUoDdZBTkUu/sQERFeb22T2uV0OrFYLISHhysI08Spr5sP9XXzob5uPmqrr728vKpcVoF0Ob05iuG9KyB5Iyz/N5w/A84cV71A8qqXwFEIsf0h/qy6a+txDMNgVWI6Ly7dyarEdACsFrikRwx3nJNA2wh/s6DnFWYgffdyyE4G/0o+dCb+YC7bDK3TtouINBohrWHvipIJR0vSYQXHNWiTRJoTm81Gr169WLp0KaNHjwbMDzRLly5l8uTJVarD4XCwceNGRowYccIynp6eeHp6lttutVrr/QNysa/5Xs2afajC96ORAV7sSMkhNbtIH94bOYvF0iA/Y1L/1NfNh/q6+VBfNx+10dfVOVaBdDm9/fSsGUQHKMyCr+6GTR/DqOchNOHkx+cehl/nmOuD7zeHg9chwzD4YUcaL32/k3V7jwLg4WZhzJktuXVIAvFhvmUPCGkNLfvCgbXmdQ24o+KKC3PM1C6giUZFREqVTjh6dPexbZpoVKReTZ06lXHjxtG7d2/69u3L7Nmzyc3NZcKECQDccMMNxMTEMHPmTABmzJhB//79adu2LRkZGTz99NPs3buXm266qSEvo8ocviX54LMOVbg/MsAc0ZSaXVjhfhERERFpvBRIl9PXoQ3w49Pm+mWvQ146LJ0Be36CVwbBuQ9D/9vB6nbiOla9bObMje4Bbc+rs6Y6nQbfbknhpWV/sinJnADL5m7l6j6x3DwkgZigSnJkdrvSDKRvWHDiQPrelWaO96A4BYlEREqVTip6JBEo+aJUfyNF6tXYsWNJS0vjkUceITk5mR49erBo0SLXBKT79u0rM8rn6NGjTJo0ieTkZIKDg+nVqxcrV66kU6fGMf+Lw7cknUt2xYH0qJJAekpW/eVuFxEREZH6oUC6nJ7sRfDZ7WbwuOPF0PUKczR5+wvhy7vMVCjfTodNn8AlL0NkBR++8o/C2tfN9Toaje5wGizceIiXv9/J9hRzcgJvDzeu69+KSWe3ISKgCnmWOl8Gix6CQ79D2g4Ib1++zO6S/OgajS4ickzpiPQjiWAp+VJVgXSRejd58uQTpnL54Ycfyjx/7rnneO655+qhVXXD6RqRfrDC/ZEBZgqa5EwF0kVERESaGgXS5fT08yxI2QjeIXDxc8eC4CGt4YbPYf07sHg6HPwNXhsMZ99rPo6fYG7Nf6EoGyI6QYcT592sDqfTILvQTlZ+MasT03nlh10kHs4FwN/TnXED47nxrNaE+FZjojvfUGg7DHYsgo0L4Nzp5cu4JhpVIF1ExKV00ufcNHAUmevBVZsIWkSkJhx+JfPZnGBEeukgihSldhERERFpchRIl9PP8SldRjwNfhFl91sscOYN0PZ8WHgvbF8Iy5+ELZ+bo9Nb9oLCbFj9H7P82feedHLS7cnZ/Lr3CJn5xWTmF5OVX0xWvt31vPSRXVCM0yh7bJCPBxMHteaGgfEEenvU7Jq7XmEG0jcsgHMeLjt6Pvew+aUCKJAuInI8r0DwCYO8w1CQaW7TiHQRqUOuEek5KeCwg1vZj1OlqV1SldpFREREpMlRIF1OL8endDljFHQZc+KyAdFw1f9g86fw9f2QthXeHGbmTbf5QUEGhLaFzpdWesr9R/IY/fIK8osdVW6ml4eVyAAvrunbiuv6x+HreYq/Sh1GmG3O2Av710Krfsf27fnJXEZ0Br/wUzuPiEhTE9LaDKQD2PzBJ6Rh2yMiTZrTOxTD6o7FaTeD6YExZfYfP9mo02lgtdbtRPciIiIiUn8USJfTy0/PHkvpMnLWyfOaWyzQ5TJoM9TMM75hPqx66dj+s++tfDJS4PEvt5Bf7KB1mC+94oIJ8PIg0NuDQG93An1K181HQMnS073yOqvN5mN+cfDH++Y1HBdItyg/uojIiYW0gQO/mOvB8XUyH4aIiIvFCn6RkJVkpnf5SyA9zM+GxWLOo3M4t5AI/yrMlyMiIiIijYIC6XL6OLQBfnrGXB/5TPmULpXxCYHL/gtdLoev7jY/3AS1MlOmVOK7LSks2ZqCu9XCa9f3on2kf83bf6q6XWkG0jd/Chc+CdaSX8/dyo8uInJCpROOAoTEN1gzRKQZ8W9hvtesYMJRdzcrYX6epGUXkpqlQLqIiIhIU1J54miR+mIvgs9uK0np8jfofFnN6ml/Ady+GkY8A9d+DG4nzlmeX+TgsS82A3DT2W0aNogOZqDcLxLyj8CupQC4ZR3AcnQPWNwgflDDtk9E5HR0/OSiyo8uIvUhoIW5rCCQDsfypKcoT7qIiIhIk6JAupwefnoGUjaVpHR59tRuzfcKgL6TILx9pcVeWvYnSRn5tAj04s7z2tb8fLXF6maOqAczvQtgS1plPm/ZGzwbONAvInI6On5EugLpIlIfAqLNZXbFgfTIAE8AkhVIFxEREWlSFEiXhnfoDzM3OlQ/pUsN7UzN4b8/JgLw6N8642M7TbIcdStJRbP9GyjMwpa02nyutC4iIhVTIF1E6pnhXxJIzzpU4f4I14j0wvpqkoiIiIjUAwXSpWHZi+Cz2089pUs1GIbBI59vothhcG7HCC7oFFnn56yy6B4Q1h7sBbD1y2OBdE00KiJSMZ8QMy0WFgjr0NCtEZHmoDSQnl1xID2yJC96qkaki4iIiDQpCqRLw/rxaTOli08ojJx1aildqujLDYdYuSsdT3crj43qjKUezlllFgt0vdJc/fFp3PIPY7h7Q8s+DdwwEZHTlMUCV79vPoJiG7o1ItIc+J8kR3qgmdpFOdJFREREmhYF0qXhHPz9WEqXEc+AX3idnzKroJh/fLUFgMnntKVVqE+dn7Paupp50i0Ze83nrQaAu2cDNkhE5DQX0ws6XNTQrRCR5uL4yUYNo9zu0tQuyUrtIiIiItKkKJAuDaM0pYvhgE6XQJe6T+kC8Nx3O0jLLqR1mC83D2lz8gMaQkhriO3nemq0HtyAjRERERGRMvyjzKU9Hwoyyu1WahcRERGRpkmBdGkYP/4bUjebKV1GPFsvp9x8MJO3Vu4BYMYlnfF0d6uX89ZItyuPrWuiUREREZHTh4c3eAeb6xVMOBoZYN5JmJ5bRJHdWZ8tExEREZE61OCB9Jdffpn4+Hi8vLzo168fa9euPWHZ4uJiZsyYQUJCAl5eXnTv3p1FixaVKTNz5kz69OmDv78/ERERjB49mu3bt5cpM3ToUCwWS5nHrbfeWifXJxU4+Dv8NMtcH/lsvaR0cToNpn+2CacBF3eL5ux2dX/OU9L5MgyfMOxBrSGqa0O3RkRERESOV5onPbt8nvQQXxsebuYcPGk5Su8iIiIi0lQ0aCB9/vz5TJ06lUcffZTffvuN7t27M3z4cFJTUyssP336dF577TVefPFFtmzZwq233sqll17K+vXrXWWWL1/OHXfcwerVq/nuu+8oLi7mggsuIDc3t0xdkyZN4tChQ67Hv//97zq9VimRvBEW3FCS0mU0dL60Xk674Nf9rN+XgZ+nO3+/uFO9nPOU+IRg3L6G9Es/BOtpPHJeREREpDkKiDaXFYxIt1gsRJSkd0nOVHoXERERkaaiQQPps2bNYtKkSUyYMIFOnTrx6quv4uPjw5w5cyos/8477/B///d/jBgxgjZt2nDbbbcxYsQInn32WGqQRYsWMX78eDp37kz37t2ZN28e+/btY926dWXq8vHxISoqyvUICAio02tt9gwDfnsb3hgGGXshqJU5Gr0eHMkt4slF2wC45/z2RJZMAHXa8wnB8PRv6FaIiIiIyF8dP+FoBUrTuyhPuoiIiEjT0WCB9KKiItatW8ewYcOONcZqZdiwYaxatarCYwoLC/HyKhsE9fb25ueffz7heTIzMwEICQkps/1///sfYWFhdOnShWnTppGXl1fTS5GTKcozJxb9YgrYC6DdBXDzcvANq5fTP/XNNjLyiukY5c+4AXH1ck4RERERacIqSe0CuAZupCiQLiIiItJkuDfUiQ8fPozD4SAyMrLM9sjISLZt21bhMcOHD2fWrFkMHjyYhIQEli5dyieffILD4aiwvNPp5O6772bQoEF06dLFtf2aa64hLi6OFi1asGHDBh588EG2b9/OJ598csL2FhYWUlh4LMdhVlaW6xxOZ/1NIuR0OjEMo17PeUoO/4nlo/FYUrdgWKwY5zwMg+4GixXq4RrW7T3K/F/3A/CPSzpjtdBoXrtG19dSY+rr5kN93Xyor5uP2upr/aw0MpWkdoHjAunZypEuIiIi0lQ0WCC9Jp5//nkmTZpEx44dsVgsJCQkMGHChBOmgrnjjjvYtGlTuRHrN998s2u9a9euREdHc95557Fr1y4SEhIqrGvmzJk8/vjj5banpaVRUFB/I02cTieZmZkYhoHV2uBzxVbKa+fXBCx/GEtxHg7vMDKHPUtRTH9IO1wv57c7DaZ9vBWAUZ1DifUuPmH+/dNRY+prOTXq6+ZDfd18qK+bj9rq6+zs7FpsldS5qo5IV450ERERkSajwQLpYWFhuLm5kZKSUmZ7SkoKUVFRFR4THh7OZ599RkFBAenp6bRo0YKHHnqINm3alCs7efJkvvrqK3788UdatmxZaVv69esHwM6dO08YSJ82bRpTp051Pc/KyiI2Npbw8PB6za/udDqxWCyEh4efvh/MHUVYvvs7lrX/BcCIG4TlsjcI8q+4X+vKnBW72Xk4nyBvDx4d3YMQX1u9nv9UNYq+llqhvm4+1NfNh/q6+aitvv5r+kI5zVUxR3pKtgLpIiIiIk1FgwXSbTYbvXr1YunSpYwePRowP4gsXbqUyZMnV3qsl5cXMTExFBcX8/HHH3PllVe69hmGwZQpU/j000/54YcfaN269Unb8vvvvwMQHR19wjKenp54enqW2261Wuv9A7LFYmmQ81ZJxj74cDwklUzuetZULOc8jMWtfn/UkjMLeO67PwF46KKOhPk3zg+np3VfS61SXzcf6uvmQ33dfNRGX+vnpJEpDaTnpYO9ENzLfk6IcuVIV2oXERERkaaiQVO7TJ06lXHjxtG7d2/69u3L7Nmzyc3NZcKECQDccMMNxMTEMHPmTADWrFlDUlISPXr0ICkpicceewyn08kDDzzgqvOOO+7gvffe4/PPP8ff35/k5GQAAgMD8fb2ZteuXbz33nuMGDGC0NBQNmzYwD333MPgwYPp1q1b/b8ITcmOb+HTmyH/KHgFwaWvQYcLG6Qp/1y4hdwiBz1bBXFl79gGaYOIiIiINFHeweDmCY5CyD4EwfFldkcotYuIiIhIk9OggfSxY8eSlpbGI488QnJyMj169GDRokWuCUj37dtXZnROQUEB06dPJzExET8/P0aMGME777xDUFCQq8wrr7wCwNChQ8uca+7cuYwfPx6bzcaSJUtcQfvY2FjGjBnD9OnT6/x6myyHHX54An561nze4ky4Yh4Ex9VrM/YfyeOrDYf44o+DbD2UhdUC/xzdBavVUq/tEBEREZEmzmIxJxw9useccPQvgfTS1C7ZhXZyC+34ejaqqalEREREpAIN/o5u8uTJJ0zl8sMPP5R5PmTIELZs2VJpfYZhVLo/NjaW5cuXV6uNUgmHHf53OSQuM5/3mQTD/1Xu9ta6kppdwMINh/jyj4P8ti/Dtd3dauG+4R3o3CKwXtohIiIiIs2MfwszkF7BhKN+nu742NzIK3KQml1IawXSRURERBo9vaOTU7PnJzOI7uEDf3sRul5e56fMzCvmm03myPPViek4S747sVigf+tQ/tajBRd2jiK4kU0uKiIiIiKNSCUTjlosFqICvEg8nEtKVgGtw3zruXEiIiIiUtsUSJdTk7LZXLYdVqdB9NxCO0u2pvDF7wf58c80ih3H7jzo2SqIUd1acHG3aFc+ShERERGROhUQbS6zDlW4OyLAk8TDuexLz6N/m9B6bJiIiIiI1AUF0uXUlAbSI7vU2Sk+XneA6Z9tIr/Y4drWMcqfUd1b8LfuLYgN8amzc4uIiIiIVMi/ZER6BaldAPrEh7A68QhvrdrDFb1bYrFo3h4RERGRxkyBdDk1KZvMZWTnOql+7e4jPPjxBuxOg/hQH1fwvF2kf52cT0RERESkSk4yIn3CoNbM+Xk3mw9m8d2WFC7oHFWPjRMRERGR2mZt6AZII+awQ9p2cz2yU61XfzAjn9v/tw670+DibtEsu28o917QQUF0EREREWl4JxmRHuJrY9zAeABmL/kTwzAqLCciIiIijYMC6VJzR3aBoxA8fCEovlarLih2cMs76zicU8QZ0QH8+/Juuh1WRERERE4frslGD4HTWWGRm85ug6/NjS2HzFHpIiIiItJ4KZAuNedK69IJrLX3o2QYBtM+2cjGpEyCfTz47/W98LEpC5GIiIiInEb8owALOIshL73CIhqVLiIiItJ0KJAuNVc60WhE7aZ1efPn3Xy6Pgk3q4WXrz1Tk4mKiIiIyOnHzQN8w831E6R3AZh03Kj0bzUqXURERKTRUiBdai5li7mM7FJrVf70ZxpPfL0VgOkjz2BgQlit1S0iIiIiUqtOMuEoQLCvjfGD4gF4XqPSRURERBotBdKl5kpHpEd2rpXq9qXnMfm99TgNuLxXS8aX3AYrIiIiInJaKp1wNCup0mI3ndUGP093jUoXERERacQUSJeaKciEzH3meuSpp3bJLbQz6e1fycwvpntsEP8c3UWTi4qIiIjI6a10wtHsE49Ih5JR6SWDRDQqXURERKRxUiBdaibVTL9CQAx4B59SVYZhcN+Hf7A9JZtwf09eu64XXh5utdBIEREREZE6VIXULqUmntXaNSp98WaNShcRERFpbBRIl5pJ2WQuayGty8vLdvLNpmQ83Cy8et2ZRAV6nXKdIiIiIiJ1rjS1SyWTjZYqMyp96Z84nRqVLiIiItKYKJAuNVNL+dGXbk3h2e92ADDjki70igs51ZaJiIiIiNSPaoxIB7jpbHNU+lblShcRERFpdBRIl5pJ2WIuI2oeSN+ZmsNdH/yOYcB1/Vtxdd9WtdQ4EREREZF64Jps9OQj0gGCfGxMGBQPaFS6iIiISGOjQLpUn2Gc8oj0zPxibn77V3IK7fSND+GRi089RYyIiIiISL0qnWy0MBOKcqt0SGmudHNUenIdNk5EREREapMC6VJ9GfugKBusHhDWrtqHO5wGd3+wnsTDuUQHevGf687E5q4fRRERERFpZLwCwOZnrlcxvcvxo9JnL9GodBEREZHGQtFLqb7UkrQu4R3AzaPah89esoNl29PwdLfy3+t7E+bnWcsNFBERERGpJ/4ledKrMOFoqYlntcbf051tydkalS4iIiLSSCiQLtWXsslc1iCty4b/Z+++w6Mq0z6Of2cmvSekEQihSm+CdMQCYlkURcWyoqj4WnBdWXdXFERsrA11V2wIWBF07auigIAgVRDpvQRCKiG9Z+b942QSQhLIJJNMyu9zXXOdM2fOec49eYImd+65n+NpvL7iAADPj+tFz9aBzoxMRERERKR+ObjgKKgqXURERKQxUiJdHFfD/uhFxVYe+3I7Nhtc0yeKsX1b1UFwIiIiIiL1KKDkZ9qMOIcuu/O0qvQfd6oqXURERKShUyJdHGdPpIc7lkh/f91RdsRlEODlxrSrutVBYCIiIiIi9ay0tUv1K9KhfFX6a8tVlS4iIiLS0CmRLo4pzIOTRmsWRyrST6TlMvunvQD884ouhPmrL7qIiIiINAEBUcY2o/o90u3uGtZeVekiIiIijYQS6eKY5D1gs4J3CPhHVvuyJ7/ZSXZBMee3CeLmC9rUYYAiIiIiIvWohhXpAIE+7kwc1g5QVbqIiIhIQ6dEujjm9P7oJlO1Llm6K5GfdiXiZjbx3HU9MZurd52IiIiISINXutio4xXpAHcNLeuVvkRV6SIiIiINlhLp4pikXca2mm1dsvOLmPH1DgDuHt6eLpEBdRWZiIiIiEj9sy82mpUIxUUOX16uKn2ZqtJFREREGiol0sUxiUZSvLqJ9FeW7uNEeh6tg7156NJOdRiYiIiIiIgL+IaByWK0P8xOqtEQdw1rh7+XG3sTM/lhh6rSRURERBoiJdLFMae3djmHnSfSWbD2CABPj+2Bt4elDgMTEREREXEBs6Vs7aAMx/ukAwR6uzNxqFGVvnDjUWdFJiIiIiJOpES6VF9WEmQnAyYI63rWU4utNh77cgfFVhtX9WzJxZ3D6ydGEREREZH6VrrgaM36pANc0ycKgE2HT5FbUOyMqERERETEiZRIl+qzV6OHtAcPn7Oe+vGGo/xxLA1/TzeeGNOtHoITEREREXGRWi44CtA+1JdWQd4UFFvZcPikkwITEREREWdRIl2qr5ptXRIz8nhxyV4A/n55ZyICvOo6MhERERER17EvOFqLRLrJZGJ4p1AAVu9PcUZUIiIiIuJESqRL9SXtMrbnSKQ/9e0uMvOL6B0dxK0DY+ohMBERERERFypt7VKzHul2wzuFAbBGiXQRERGRBkeJdKm+xB3G9iyJ9BV7k/huezwWs4nnru2BxWyqp+BERERERFwkwOhvXpuKdIChHVtgMsHexEwSM/KcEJiIiIiIOIsS6VI9xUWQtMfYryKRnltQzPSvjGT7nUPb0j0qsL6iExERERFxHSdVpAf5eNCrdRCg9i4iIiIiDY0S6VI9qQehOB/cfSGobaWnvLZ8P8dP5RIV6MVfR55Xv/GJiIiIiEvMmTOHtm3b4uXlxcCBA9m4cWO1rlu0aBEmk4mxY8fWbYD14fSKdJutVkMN72jvk55c26hERERExImUSJfqsS80Gt4VzBW/bfYmZPLu6kMAzLymB76ebvUZnYiIiIi4wOLFi5kyZQozZsxgy5Yt9O7dm9GjR5OUlHTW644cOcIjjzzC8OHD6ynSOmavSC/Mgbz0Wg1lX3B0zf4UrNbaJeVFRERExHmUSJfqsSfSK2nrYrXaeOzL7RRZbYzuHsGobhH1HJyIiIiIuMLs2bOZNGkSEydOpFu3brz11lv4+Pgwf/78Kq8pLi7m1ltvZebMmbRv374eo61DHj7gFWTs17K9S982wfh6WDiZXcCu+IzaxyYiIiIiTqFEulRPaSK9R4WXFm06xuajp/D1sPDk1VUvRCoiIiIiTUdBQQGbN29m5MiRpcfMZjMjR45k3bp1VV731FNPER4ezl133VUfYdYfJy046uFmZnCHFoD6pIuIiIg0JOq/IdWTZE+kdyt3OC2ngH/9sBuAv13WmZaB3vUdmYiIiIi4QEpKCsXFxURElP80YkREBHv27Kn0mjVr1jBv3jy2bt1a7fvk5+eTn59f+jwjw6jStlqtWK1WxwOvIavVis1mq/KeJv+WmJJ2Yc04AbWMa1jHUJbtTmL1/mT+78J2tRpLHHeuuZamQ3PdfGiumw/NdfPhrLl25Hol0uXc8tIhLdbYDy+fSF+5N5mMvCI6hPkyYXCMC4ITERERkcYgMzOT2267jblz5xIaGlrt62bNmsXMmTMrHE9OTiYvL8+ZIZ6V1WolPT0dm82GuZI1gwLcg/EBsuP3kR119h7x59I12ATApiOpxMYl4OWuDxLXp3PNtTQdmuvmQ3PdfGiumw9nzXVmZma1z1UiXc4tyag4J6AV+ISUe2ntQePjpiO7RuBm0X+gRERERJqL0NBQLBYLiYmJ5Y4nJiYSGRlZ4fyDBw9y5MgRxowZU3rMXgHk5ubG3r176dChQ4Xrpk6dypQpU0qfZ2RkEB0dTVhYGAEBAc56O+dktVoxmUyEhYVV+suaKbw97AE/awa+4eG1uldYmI2ooIOcSMvjcLaFEeeF1Wo8ccy55lqaDs1186G5bj40182Hs+bay8ur2uc6nEhv27Ytd955J3fccQdt2rRx9HJpjOz90c+oRrfZbPx64CRAaR9HEREREWkePDw86NevH8uXL2fs2LGA8QvN8uXLmTx5coXzu3Tpwvbt28sdmzZtGpmZmbz22mtER0dXeh9PT088PT0rHDebzfX+C7LJZKr6viU90k2ZCZicENeFncJYtOkYaw6c5OIuEee+QJzqrHMtTYrmuvnQXDcfmuvmwxlz7ci1Dt/lr3/9K1988QXt27dn1KhRLFq0qFzPQkfNmTOHtm3b4uXlxcCBA9m4cWOV5xYWFvLUU0/RoUMHvLy86N27N0uWLHF4zLy8PB544AFatGiBn58f48aNq1BJI6cpXWi0/EKix1JziUvLxc1sYkC7kEouFBEREZGmbMqUKcydO5f333+f3bt3c99995Gdnc3EiRMBmDBhAlOnTgWMap8ePXqUewQFBeHv70+PHj3w8PBw5VupPSctNmo3vJNRhb56f7JTxhMRERGR2qlRIn3r1q1s3LiRrl278uCDD9KyZUsmT57Mli1bHBpr8eLFTJkyhRkzZrBlyxZ69+7N6NGjSUqqvKfgtGnTePvtt/nPf/7Drl27uPfee7n22mv5/fffHRrz4Ycf5ttvv+Wzzz5j1apVnDhxguuuu87RL0XzUZpI71Hu8K8lbV36tgnCx0NdgkRERESam/Hjx/PSSy/xxBNP0KdPH7Zu3cqSJUtKFyCNjY0lPj7exVHWE/+WxtZJifShHVtgMsG+xCwS0uuvF7yIiIiIVK7Gde/nn38+//73vzlx4gQzZszg3Xff5YILLqBPnz7Mnz8fm812zjFmz57NpEmTmDhxIt26deOtt97Cx8eH+fPnV3r+hx9+yGOPPcaVV15J+/btue+++7jyyit5+eWXqz1meno68+bNY/bs2VxyySX069ePBQsWsHbtWtavX1/TL0fTZbNB0i5jP6J8a5e1B422LkM6VH+xKBERERFpWiZPnszRo0fJz89nw4YNDBw4sPS1lStX8t5771V57XvvvcdXX31V90HWh4BWxjYnBYpq/olduyAfD3q1DgJgzYGUWo8nIiIiIrVT40R6YWEhn376KVdffTV/+9vf6N+/P++++y7jxo3jscce49Zbbz3r9QUFBWzevJmRI0eWBWM2M3LkSNatW1fpNfn5+RUawHt7e7NmzZpqj7l582YKCwvLndOlSxfatGlT5X2btfRjkJ8BZndo0an0sM1mY11JRfoQ9UcXERERkebOJwQsJb3cMxOcMuTwjkbBitq7iIiIiLiew/04tmzZwoIFC/jkk08wm81MmDCBV155hS5dupSec+2113LBBRecdZyUlBSKi4tLP/ZpFxERwZ49eyq9ZvTo0cyePZsLL7yQDh06sHz5cr744guKi4urPWZCQgIeHh4EBQVVOCchoeofePPz88v1gs/IyACMBZWsVutZ36szWa1WbDZb9e/5y4uY9nyLbfxCCGzt+A3jt2MGbGHnYTO7Qcl99yZkkpJVgJe7md6tA+v1a9BcODzX0mhprpsPzXXzobluPpw11/peaQJMJvCPhLSjkBkPwTG1HnJ4p1BeX3GANftTsFptmM0mJwQqIiIiIjXhcCL9ggsuYNSoUbz55puMHTsWd3f3Cue0a9eOm266ySkBnu61115j0qRJdOnSBZPJRIcOHZg4cWKVrWCcadasWcycObPC8eTkZPLy6q9nodVqJT09HZvNVq1VZUM3f4Bb5nHyfniC9Ev+5fD9fA9vwh/IC+hA+ml95n/6w1ictXdLP9JS9VHTuuDoXEvjpbluPjTXzYfmuvlw1lxnZmY6MSpxmYAoI5HupD7pfdsE4+th4WR2AbviM+jRKtAp44qIiIiI4xxOpB86dIiYmLNXV/j6+rJgwYKznhMaGorFYiExMbHc8cTERCIjIyu9JiwsjK+++oq8vDxOnjxJVFQUjz76KO3bt6/2mJGRkRQUFJCWllauKv1s9wWYOnUqU6ZMKX2ekZFBdHQ0YWFhBAQEnPW9OpPVasVkMhEWFlatX9ZMeakAeO37Cs9LHoHwbue44ozrs48A4NnmfMLDw0uPb086BsBF3VqWOy7O4+hcS+OluW4+NNfNh+a6+XDWXJ/ZvlAaKScvOOrhZmZwhxYs253E6v0pSqSLiIiIuJDDifSkpCQSEhLKLSIEsGHDBiwWC/3796/WOB4eHvTr14/ly5czduxYwPhFZPny5UyePPms13p5edGqVSsKCwv5/PPPufHGG6s9Zr9+/XB3d2f58uWMGzcOgL179xIbG8vgwYOrvKenpyeenp4VjpvN5nr/BdlkMlXvvvlZUJhjXIMN04rn4OaFjt0s0Vho1BzZE0ruV1RsZcMhI0E/tGOoEgR1qNpzLY2e5rr50Fw3H5rr5sMZc63vkyYiIMrYZsY7bcjhncJKEunJ3HdRB6eNKyIiIiKOcfgn9gceeIBjx45VOB4XF8cDDzzg0FhTpkxh7ty5vP/+++zevZv77ruP7OxsJk6cCMCECROYOnVq6fkbNmzgiy++4NChQ6xevZrLL78cq9XKP/7xj2qPGRgYyF133cWUKVNYsWIFmzdvZuLEiQwePJhBgwY5+uVo2LJLWrGY3cBkhr3fwbFN1b++MA9OHjD2I7qXHt5xIoPM/CICvNzoHqWqGBERERERoCyRXpOK9OJC+G0BpMWWOzysk7Hg6G9HTpFbUFzbCEVERESkhhyuSN+1axfnn39+heN9+/Zl165dDo01fvx4kpOTeeKJJ0hISKBPnz4sWbKkdLHQ2NjYctU5eXl5TJs2jUOHDuHn58eVV17Jhx9+WK5Fy7nGBHjllVcwm82MGzeO/Px8Ro8ezRtvvOHgV6IRyEo2tgFR0G4E/P4hLHsS7vifsRjSuaTsBVsxeAcbCyeV+PWA0RN9UPsWWLTgkYiIiIiIwd7apSYV6b+8CKueh65Xw/gPSw+3D/WlVZA3cWm5bDh8kos6q62iiIiIiCs4nEj39PQkMTGxtC+5XXx8PG5uDg/H5MmTq2zlsnLlynLPR4wYUa1k/dnGBKM1zJw5c5gzZ45DsTY69op033C46FHY9ikcXQMHl0PHkee+PnGnsY3oUS7xvu7gScBo6yIiIiIiIiVqWpGeewrWv2nsJ2wr95LJZGJ4p1AWbTrG6v0pSqSLiIiIuIjDrV0uu+wypk6dSnp6eumxtLQ0HnvsMUaNGuXU4KSWskoS6X7hENgaBkwyni+bCVbrua8vTaSXtXXJKyxm0xGjP/qQDi2cGa2IiIiISON2ekW6zVb969a/CfkZxv6po1CQU+7l4Z3CAFi9P9kZUYqIiIhIDTicSH/ppZc4duwYMTExXHzxxVx88cW0a9eOhIQEXn755bqIUWoqu+QHbV/jB2+GTQEPf6PKZdeX577enkgP71Z66PfYNPKLrIT5e9Ix3M/JAYuIiIiINGL2RHpxAeScrN41uWmw/q3TDtggZV+5U4Z2bIHJBPsSs0hIz3NKqCIiIiLiGIcT6a1atWLbtm288MILdOvWjX79+vHaa6+xfft2oqOj6yJGqanTK9IBfFvA0L8Y+z8/YyxodDant3Ypsfag0R99SIcWmKrTZ11EREREpLlw8ygrYqlue5f1b0J+ulG80mawcSx5b7lTgnw86NU6CFBVuoiIiIirON7UHPD19eWee+5xdizibKf3SLcbdD9seBtSDxmLj/a/s/Jrs5JLrjdBeJfSw2vt/dE7qD+6iIiIiEgF/i2NT4ZmxkPLXmc/NzetrDf6iH/A4V8gdh0k76lw6vCOofxxLI01B1K4ob8KmERERETqW40S6QC7du0iNjaWgoKCcsevvvrqWgclTpJVUq3iF1Z2zNPP+CH9h3/Ayueh103g4VPx2qSSavSQ9uDhawyXX8Qfx9IAGKz+6CIiIiIiFQVEGa0UM+LOfe6Gt4xq9LCu0PWasp/fK0ukdwrl9RUHWLM/BavVhtmsT4eKiIiI1CeHE+mHDh3i2muvZfv27ZhMJmwli+jY23wUFxc7N0Kpucoq0gH63QHrXoe0WNj4Ngx7uOK1pW1dyvqjbzqcSpHVRpsQH6JDKkm+i4iIiEijcOzYMUwmE61btwZg48aNLFy4kG7duumTp7Vl75OeEX/28/LSYf0bxv6If4DZDGGdjeeVJNL7tgnG18PCyewCdsVn0KNVoBODFhEREZFzcbhH+kMPPUS7du1ISkrCx8eHnTt38ssvv9C/f39WrlxZByFKjZVWpJ+RSHfzhIsfN/bXvAK5pypeW0l/9F8PlPVHFxEREZHG65ZbbmHFihUAJCQkMGrUKDZu3Mjjjz/OU0895eLoGrmAVsY28xw90je8bSTTw7pAt7HGsbCSloqnjkBhbrnTPdzMpZ8KXb0/xXnxioiIiEi1OJxIX7duHU899RShoaGYzWbMZjPDhg1j1qxZ/OUvf6mLGKUmCnOhINPY9w2r+HrPG4wFjfLS4dd/V3y9NJHevfSQvT/6kI7qjy4iIiLSmO3YsYMBAwYA8Omnn9KjRw/Wrl3Lxx9/zHvvvefa4Bq7gGpUpOelG58QBbjw70Y1OhgFMF5BYLPCyQMVLhveyfi5XguOioiIiNQ/hxPpxcXF+Pv7AxAaGsqJE0alRUxMDHv37j3bpVKfskraulg8wKuSj32aLXDpE8b++jchM6HsteKiso+ThhutXU6VfIQUYHB7VaSLiIiINGaFhYV4enoCsGzZstJ1jrp06UJ8/DlaksjZ2Vu7ZJ7l67jhHSOZHtoZul9bdtxkgvCuxn5SxfYuwzoZBS2/HTlFboFaaoqIiIjUJ4cT6T169OCPP/4AYODAgbzwwgv8+uuvPPXUU7Rv397pAUoNZZdUqfiGGz+QV+a8y6H1ACjKhVUvlB1PPQRFeeDuA8HtAFh3yKhG7xzhT5i/Z11GLiIiIiJ1rHv37rz11lusXr2apUuXcvnllwNw4sQJWrRQ0UStBEQZ26oWG83LKKtGH/EPo8DldGfpk94+1JdWQd4UFFvZcPikkwIWERERkepwOJE+bdo0rFYrAE899RSHDx9m+PDhfP/99/z735W0CBHXsFek+1XS1sXOZIKRTxr7W96HkweN/aSSti7h3Uo/Zrr2oNGHcbD6o4uIiIg0es8//zxvv/02F110ETfffDO9e/cG4Jtvvilt+SI1ZE+k56VDQU7F1ze+DXlpEHpe+Wp0O3uf9EoS6SaTieElVenqky4iIiJSv9wcvWD06NGl+x07dmTPnj2kpqYSHByMqarKZ6l/2SWJdN/ws5/Xdih0HAUHlsKK5+D6eaf1R+9WetraA0bFy1D1RxcRERFp9C666CJSUlLIyMggODi49Pg999yDj4+PCyNrAjwDwN0XCrON9i4tOpS9lpcB6+YY+xdWUo0OZ02kg9EnfdGmY+qTLiIiIlLPHKpILywsxM3NjR07dpQ7HhISoiR6Q5NV8oP12SrS7ey90nf8F+K3nZZI7wFAfHouh1KyMZtgQLuQOghWREREROpTbm4u+fn5pUn0o0eP8uqrr7J3717Cw89RiCFnZzKdtuDoifKvbXwHck9Bi07Q47rKr7cn0lMPQVF+hZeHdmyByQT7ErNISM9zYuAiIiIicjYOJdLd3d1p06YNxcVa2KbBq25FOkDLXtDjemN/+VOQWPKHkojuQFk1es/WQQR6uzs7UhERERGpZ9dccw0ffPABAGlpaQwcOJCXX36ZsWPH8uabb7o4uiagsgVH8zPP3hu99NpI8AwEmxVOHqjwcpCPB71aBwGoKl1ERESkHjncI/3xxx/nscceIzU1tS7iEWcp7ZFezYqiix8Ds5vR4iUt1jgWbrR2WXvQSKQPUX90ERERkSZhy5YtDB8+HID//ve/REREcPToUT744AOte+QMlS04WlqN3hF6jKv6WpOpbMHRpN2VnjK8o/qki4iIiNQ3h3ukv/766xw4cICoqChiYmLw9fUt9/qWLVucFpzUQnZJdYpvNVq7gNG78fzb4bd5xnP/KPAJwWazlS40OrSD+qOLiIiINAU5OTn4+/sD8NNPP3HddddhNpsZNGgQR48edXF0TUBpIr2kIj0/E9aWVKNX1Rv9dOFd4PhGSN5b6cvDO4Xy+ooDrDmQgtVqw2xWm00RERGRuuZwIn3s2LF1EIY4naMV6WB8xHTrQijKLW3rcuRkDvHpeXhYzPSLCT7HACIiIiLSGHTs2JGvvvqKa6+9lh9//JGHH34YgKSkJAICAlwcXRPgX5JIzyzpkb5xLuSmQkiHs1ej251jwdG+bYLx9bCQml3ArvgMerQKdELQIiIiInI2DifSZ8yYURdxiLM50iPdzj8Shj4Eq/4F7YyP+v56wKhG79smCG+Pc1TOiIiIiEij8MQTT3DLLbfw8MMPc8kllzB48GDAqE7v27evi6NrAkoXG42H/CxY+x/j+Yh/gKUav4LZW7tUUZHu4WZmcIcWLNudxOr9KUqki4iIiNQDh3ukSyNQlA956ca+IxXpABc9Cv+3GgbdD8C6kv7oQzuqrYuIiIhIU3H99dcTGxvLb7/9xo8//lh6/NJLL+WVV15xYWRNhL0iPeMEbHq3pBq9PfS4vnrXh3U1tqkHoaig0lOGdzJaOGrBUREREZH64XBFutlsxmSqugdfcXFxrQISJ7D3Rze7gVeQY9eaTNCyFwBWa1l/dC00KiIiItK0REZGEhkZyfHjxwFo3bo1AwYMcHFUTYS9Ij0rEdaWLN56YTWr0cHose7hDwWZRjI9vGuFU4Z3MgpdNh5O5UBSFh3D/ZwRuYiIiIhUweGK9C+//JIvvvii9LF48WIeffRRWrZsyTvvvFMXMYqj7P3RfcPAXPMPHexJyORUTiE+HhZ6Rwc5JzYRERERcTmr1cpTTz1FYGAgMTExxMTEEBQUxNNPP43VanV1eI2fXwSYLGArhpyTRjV6zxuqf73JdFp7l8r7pLcP8+OSLuEUWW088fUObDabEwIXERERkao4XJF+zTXXVDh2/fXX0717dxYvXsxdd93llMCkFuwV6b5htRrGXo0+oF0I7hZ1ARIRERFpKh5//HHmzZvHv/71L4YOHQrAmjVrePLJJ8nLy+PZZ591cYSNnNliJNPti40Of6T61eh2YV0g7jdI2gPdKz/lyTHd+fVACmsPnuSbP05wTZ9WtYtbRERERKrktOzooEGDWL58ubOGk9qwV6Q72h/9DGvt/dE7qD+6iIiISFPy/vvv8+6773LffffRq1cvevXqxf3338/cuXN57733XB1e02Bv7xLcDnqNd/z68C7GtoqKdIA2LXyYfHFHAJ75bjcZeYWO30dEREREqsUpifTc3Fz+/e9/06qVKiAahGx7a5eaJ9ILi61sOGQk0gerP7qIiIhIk5KamkqXLl0qHO/SpQupqakuiKgJatXP2F4yzfFqdDAq0gGS9571tHtGtKddqC/JmfnM/mmf4/cRERERkWpxOJEeHBxMSEhI6SM4OBh/f3/mz5/Piy++WBcxiqOySlq7+NW8tcu24+lkFxQT5ONOt5YBTgpMRERERBqC3r178/rrr1c4/vrrr9OrVy8XRNQEjXoKHtgEPa+v2fX2HuknD0Bx1ZXmnm4WnrrG6P3ywboj7IhLr9n9REREROSsHC6NeOWVVzCZTKXPzWYzYWFhDBw4kODgYKcGJzXkhIr0tQeM/uiD27fAbDad42wRERERaUxeeOEFrrrqKpYtW8bgwYMBWLduHceOHeP77793cXRNhLs3hJ1X8+sDo8HDDwqyIPVQWWK9EsM7hfGnXi3537Z4pn21gy/uG6Kf4UVERESczOFE+h133FEHYYhTOaFHur0/+pCO6o8uIiIi0tSMGDGCffv2MWfOHPbsMXpwX3fdddxzzz0888wzDB8+3MURCiYThJ4HJ7YYfdLPkkgHmP6nbqzcm8zWY2ks/u0YNw9oU0+BioiIiDQPDrd2WbBgAZ999lmF45999hnvv/++U4KSWsouae3iW7PWLnmFxWyOPQXAEPVHFxEREWmSoqKiePbZZ/n888/5/PPPeeaZZzh16hTz5s1zdWhiV80+6QARAV48PMqogP/XD3s4mZVfl5GJiIiINDsOJ9JnzZpFaGjFKuXw8HCee+45pwQltVTLivTNR09RUGQlMsCL9qG+TgxMRERERESqzV6FnrS7WqffPjiGri0DSM8t5Pkle+owMBEREZHmx+FEemxsLO3atatwPCYmhtjYWKcEJbVQXAi5qcZ+DXuk/1rSH31Ihxbl+uGLiIiIiEg9Cu9qbKtRkQ7gZjHzzNgeAHz623F+O5JaV5GJiIiINDsOJ9LDw8PZtm1bheN//PEHLVqoDYjLZRtJcExm8Amp0RDqjy4iIiIi0gDYK9JP7ofiompd0i8mmJsuiAbg8S93UFhsravoRERERJoVhxcbvfnmm/nLX/6Cv78/F154IQCrVq3ioYce4qabbnJ6gOKg7JK2Lj6hYLY4fHlGXiHbjqcB6o8uIiIi0tRcd911Z309LS2tfgKR6glsA+4+UJgDpw5DaKdqXfbPy7vw484E9iZm8v7aI9w9vH0dByoiIiLS9DmcSH/66ac5cuQIl156KW5uxuVWq5UJEyaoR3pDkFWy0GgN+6NvPJSK1QbtQn2JCvJ2YmAiIiIi4mqBgYHnfH3ChAn1FI2ck9kMoedB/FZI3lPtRHqwrwePXtGFf36+nVeW7uOqXi1pGaif7UVERERqw+FEuoeHB4sXL+aZZ55h69ateHt707NnT2JiYuoiPnGUvSLdN6xGl/+0KwGAwapGFxEREWlyFixY4OoQxFFhXcoS6V3HVPuyG/pFs3jTMbbEpvHM/3Yz59bz6y5GERERkWbA4US6XadOnejUqXoVEVKPskoS6TWoSM/MK+TbP+IBGNunlTOjEhERERGRmrD3Sa/mgqN2ZrOJZ8b25E//Wc132+O5cV8yI86rWbGNiIiIiNRgsdFx48bx/PPPVzj+wgsvcMMNNzglKKmF7JLWLjWoSP966wlyC4vpEObLBW2DnRyYiIiIiIg4LLyrsU3a4/Cl3aICuGNIOwBmfL2DvMJiZ0YmIiIi0qw4nEj/5ZdfuPLKKyscv+KKK/jll1+cEpTUQg0r0m02Gws3xAJw84A2mEwmZ0cmIiIiIiKOslekp+wDq+OJ8IdHdSLc35MjJ3N4e9UhJwcnIiIi0nw4nEjPysrCw8OjwnF3d3cyMjKcEpTUQmmPdMcS6dvj0tkVn4GHxcy481vXQWAiIiIiIuKwoBhw84LifDh1xOHL/b3cmf6nbgDMWXmAoyeznRygiIiISPPgcCK9Z8+eLF68uMLxRYsW0a1bN6cEJbWQVdLaxc+x1i6fbDwGwBU9Iwn2rfiHEhERERERcQGzBUJL1qZKdry9C8CferVkWMdQCoqsPPH1Tmw2mxMDFBEREWkeHF5sdPr06Vx33XUcPHiQSy65BIDly5ezcOFC/vvf/zo9QHFQDSrSs/KL+GZrHGC0dRERERERkQYkrCskbDcS6V2ucvhyk8nEU9d05/JXV7NqXzLfbovn6t5RdRCoiIiISNPlcEX6mDFj+Oqrrzhw4AD3338/f/vb34iLi+Pnn3+mY8eOdRGjVJe1GHJOGvsO9Ej/9o8TZBcU0z7Ul4HtQuooOBERERERqRF7n/TkvTUeon2YH/df3AEwFh5Nzsx3RmQiIiIizYbDiXSAq666il9//ZXs7GwOHTrEjTfeyCOPPELv3r2dHZ84Iuck2KyACXxCq33ZJxu1yKiIiIiISIMV1sXYJu2u1TD3X9SRri0DOJVTyLSvtqvFi4iIiIgDapRIB/jll1+4/fbbiYqK4uWXX+aSSy5h/fr1Do8zZ84c2rZti5eXFwMHDmTjxo1nPf/VV1+lc+fOeHt7Ex0dzcMPP0xeXl7p623btsVkMlV4PPDAA6XnXHTRRRVev/feex2OvcHJKmnr4hMClup17dkRl8624+nGIqP9tMioiIiIiEiDE97V2KbsMz6FWkMebmZeuqEXbmYTP+5M5Js/TjgpQBEREZGmz6Ee6QkJCbz33nvMmzePjIwMbrzxRvLz8/nqq69qtNDo4sWLmTJlCm+99RYDBw7k1VdfZfTo0ezdu5fw8IqtSRYuXMijjz7K/PnzGTJkCPv27eOOO+7AZDIxe/ZsADZt2kRxcdkPlzt27GDUqFHccMMN5caaNGkSTz31VOlzHx8fh+NvcGrQH91ejX5Z9whCtMioiIiIiEjDExQDFk8oyoO0WAhpV+OhukcFMvmSjry6bD8zvtnJ4A4tCPf3cmKwIiIiIk1TtSvSx4wZQ+fOndm2bRuvvvoqJ06c4D//+U+tbj579mwmTZrExIkT6datG2+99RY+Pj7Mnz+/0vPXrl3L0KFDueWWW2jbti2XXXYZN998c7kq9rCwMCIjI0sf//vf/+jQoQMjRowoN5aPj0+58wICAmr1XhqErGRj6xdWrdOz84v4eqtRhXKLFhkVEREREWmYLG4Q2snYr0WfdLsHLu5It5YBpOUUMu3LHWrxIiIiIlIN1a5I/+GHH/jLX/7CfffdR6dOnWp944KCAjZv3szUqVNLj5nNZkaOHMm6desqvWbIkCF89NFHbNy4kQEDBnDo0CG+//57brvttirv8dFHHzFlypQKvb8//vhjPvroIyIjIxkzZgzTp08/a1V6fn4++fllC/JkZGQAYLVasVqt1X7ftWW1WrHZbJXfMysRM2DzDcNWjZi++SOOrPwiYlr4MKBtcL2+Dzm3s861NCma6+ZDc918aK6bD2fNtb5X5JzCOkPiDkjeDZ0vr9VQ7hYzL93Qm6tfX8NPu4wWL9f0aeWkQEVERESapmon0tesWcO8efPo168fXbt25bbbbuOmm26q8Y1TUlIoLi4mIiKi3PGIiAj27NlT6TW33HILKSkpDBs2DJvNRlFREffeey+PPfZYped/9dVXpKWlcccdd1QYJyYmhqioKLZt28Y///lP9u7dyxdffFFlvLNmzWLmzJkVjicnJ5fr0V7XrFYr6enp2Gw2zObyHyjwSzqCH5Bj8iMzKemcY3346yEA/tQ1mJSU5LoIV2rhbHMtTYvmuvnQXDcfmuvmw1lznZmZ6cSopEkKK+mT7oSKdIBuUQE8eEknXlm2Ty1eRERERKqh2on0QYMGMWjQIF599VUWL17M/PnzmTJlClarlaVLlxIdHY2/v39dxsrKlSt57rnneOONNxg4cCAHDhzgoYce4umnn2b69OkVzp83bx5XXHEFUVFR5Y7fc889pfs9e/akZcuWXHrppRw8eJAOHTpUeu+pU6cyZcqU0ucZGRlER0cTFhZWr21hrFYrJpOJsLCwCr+smWzZAHiHxeBdSY/50+2Oz2BXYg7uFhO3X9iZUD/POotZauZscy1Ni+a6+dBcNx+a6+bDWXPt5aUEppxDWGdjm1x50VFN3H9xB37alcDOExk8/uUO3rmtX4VP8oqIiIiIwaHFRgF8fX258847ufPOO9m7dy/z5s3jX//6F48++iijRo3im2++qdY4oaGhWCwWEhMTyx1PTEwkMjKy0mumT5/Obbfdxt133w0YSfDs7GzuueceHn/88XK/vBw9epRly5adtcrcbuDAgQAcOHCgykS6p6cnnp4Vk81ms7nef0E2mUyV3zfbqCo3+0fAOWJa/NtxAC7rFkl4gHedxCm1V+VcS5OjuW4+NNfNh+a6+XDGXOv7RM4prIuxTd4LVus5f96vjtNbvCzdlcjXW08wtq9avIiIiIhUplY/fXXu3JkXXniB48eP88knnzh0rYeHB/369WP58uWlx6xWK8uXL2fw4MGVXpOTk1PhlwyLxQJQYYGcBQsWEB4ezlVXXXXOWLZu3QpAy5YtHXkLDU92STsX37NXo+cWFPPlljgAbtYioyIiIiJSC3PmzKFt27Z4eXkxcOBANm7cWOW5X3zxBf379ycoKAhfX1/69OnDhx9+WI/RNmIh7cHsDoU5kH7MacN2bWm0eAGY8c1OkjLqr22liIiISGPilNIXi8XC2LFjq12NbjdlyhTmzp3L+++/z+7du7nvvvvIzs5m4sSJAEyYMKHcYqRjxozhzTffZNGiRRw+fJilS5cyffp0xowZU5pQByMhv2DBAm6//Xbc3MoX3R88eJCnn36azZs3c+TIEb755hsmTJjAhRdeSK9evWrxVWgAskr6nPuFnfW0/207QWZ+EW1CfBjSoUU9BCYiIiIiTdHixYuZMmUKM2bMYMuWLfTu3ZvRo0eTVMV6PSEhITz++OOsW7eObdu2MXHiRCZOnMiPP/5Yz5E3QhY3CDUS3s7qk25330Ud6NEqgPTcQh77ckeFIiURERERqUFrF2caP348ycnJPPHEEyQkJNCnTx+WLFlSugBpbGxsuQr0adOmYTKZmDZtGnFxcYSFhTFmzBieffbZcuMuW7aM2NhY7rzzzgr39PDwYNmyZbz66qtkZ2cTHR3NuHHjmDZtWt2+2bpmtZa2djlXRfonG2MBuGlANGazeiCKiIiISM3Mnj2bSZMmlRbCvPXWW3z33XfMnz+fRx99tML5F110UbnnDz30EO+//z5r1qxh9OjR9RFy4xbWGZJ2QfJuOO8ypw1rb/Ey5j9rWLY7ka+2xnFt39ZOG19ERESkKXBpIh1g8uTJTJ48udLXVq5cWe65m5sbM2bMYMaMGWcd87LLLquyiiI6OppVq1bVKNYGLfcU2IqNfd+qK9L3JGSwJTYNN7OJ6/vph2MRERERqZmCggI2b95c7hOkZrOZkSNHsm7dunNeb7PZ+Pnnn9m7dy/PP/98lefl5+eTn59f+jwjIwMwPoVqtVpr8Q4cY7Vasdls9XrPCkI7YwZsSXuwOTmO88L9+MslHXl56X6e/GYXg9uFEB7QPBfBbRBzLfVCc918aK6bD8118+GsuXbkepcn0sVJ7P3RvYLAzaPK0xZtNPopjuwaQbh/8/zBWERERERqLyUlheLi4tJPk9pFRESwZ8+eKq9LT0+nVatW5OfnY7FYeOONNxg1alSV58+aNYuZM2dWOJ6cnExeXv3187ZaraSnp2Oz2Vy2OKynR0uCgcL4HaRW0T6nNq7t6s93f/iwJymHRz7dwotjOmAyNb9PsDaEuZb6obluPjTXzYfmuvlw1lxnZmZW+1wl0puKrJIfpP2qbuuSW1DMF1uOA3DzQC0yKiIiIiL1z9/fn61bt5KVlcXy5cuZMmUK7du3r9D2xW7q1KlMmTKl9HlGRgbR0dGEhYUREBBQT1Ebv6yZTCbCwsJc94u5aQAsBfe0Q4SHhUEdJLlfucmHa+b8yppD6aw9UcS1fVs5/R4NXYOYa6kXmuvmQ3PdfGiumw9nzbWXV/ULjZVIbyqq0R/9++3xZOQV0SrIm+EdQ+spMBERERFpikJDQ7FYLCQmJpY7npiYSGRkZJXXmc1mOnbsCECfPn3YvXs3s2bNqjKR7unpiaenZ6Xj1PcvyCaTySX3LdWiI5jdMBVkYco8AUHRTr9F16hAHhp5Hi/+uJeZ3+5iWKcwIpphixeXz7XUG81186G5bj40182HM+bakWv1HdVUlFakV90ffdEmY5HRm7XIqIiIiIjUkoeHB/369WP58uWlx6xWK8uXL2fw4MHVHsdqtZbrgS5n4eZhJNMBkvfW2W3+78L29GodSEZeEVO/2F7l+lMiIiIizYkS6U2FvUd6FRXp+xMz2XTkFBaziRv6O79yRURERESanylTpjB37lzef/99du/ezX333Ud2djYTJ04EYMKECeUWI501axZLly7l0KFD7N69m5dffpkPP/yQP//5z656C41PWGdjm1x1H/racrOYeemG3nhYzPy8J4lHP9/OgaSsOrufiIiISGOg1i5NRVZJa5cqKtI/KVlk9NIu4c3yo5kiIiIi4nzjx48nOTmZJ554goSEBPr06cOSJUtKFyCNjY0t93HZ7Oxs7r//fo4fP463tzddunTho48+Yvz48a56C41PWBfga0jeXae3OS/Cn0dGn8dz3+9h8W/HWPzbMYZ3CuX2wW25uEs4Fn3CVURERJoZJdKbirNUpOcVFvO5FhkVERERkTowefJkJk+eXOlrK1euLPf8mWee4ZlnnqmHqJqw0or0umvtYnfPhR3oERXIgrVHWL47kdX7U1i9P4XoEG9uGxTDjf2jCfLxqPM4RERERBoCJdKbitIe6RUT6Ut2JJCeW0irIG8u7FR1D3UREREREWngwroa2+S9YLOBqW4rw4d0DGVIx1COpebw0fqjLNp0jGOpuTz3/R5mL93H2D6tuH1IW7q2DKjTOERERERcTT3Sm4rsktYulVSkL9xoLDI6/oJofQRTRERERKQxa9EBTBbIz4CME/V22+gQH6Ze2ZX1Uy/l+XE96doygLxCK4s2HeOK11Zz49vr+H57PIXF1nqLSURERKQ+qSK9KbDZyhLpZ/RIP5CUxcbDqZhNcKMWGRURERERadzcPCGkPZzcbyw4GtiqXm/v7WFh/AVtuLF/NJuOnOL9tUdYsjOBjYdT2Xg4lcgALx69ogtj+9ZvXCIiIiJ1TRXpTUFeGhQXGPtnVKQvKqlGv6RLOJGBWmRURERERKTRC+9ibOuhT3pVTCYTA9qFMOfW8/n1n5fw4CUdCfXzICEjj0c++4P9iZkui01ERESkLiiR3hRklVSjewaAe/lk+ap9xmvX92td31GJiIiIiEhdCLMn0ve4No4SkYFe/O2yzvz66CVc0iWcIquNJ7/dic1mc3VoIiIiIk6jRHpTkF2y0KhvxYVEk7PyAWgf5lefEYmIiIiISF1pYIl0O083C0+O6Y6Hm5lfD5zk++0Jrg5JRERExGmUSG8KskoS6X7l27oUFltJyykEINTPs76jEhERERGRunB6Ir2BVX23aeHDfSM6APDMd7vIKShycUQiIiIizqFEelNgX2j0jIr01Gyjb7rFbCLI272+oxIRERERkbrQoiOYzJCXDlmJro6mgvsu6kDrYG/i0/N4/ecDrg5HRERExCmUSG8KqqhIT8402rqE+HpgNpvqOyoREREREakL7l4Q3M7YT9rt2lgq4eVu4Yk/dQNg7upDHErOcnFEIiIiIrWnRHpTUNojvXwiPaWkP3oLX4/6jkhEREREROpSaXuXva6NowqjukUw4rwwCottzPx2lxYeFRERkUZPifSmIKuktYtf+dYuJ7OM1i5h/uqPLiIiIiLSpIQ3zAVH7UwmEzPGdMPdYmLVvmSW7mp4LWhEREREHKFEelNwjop0LTQqIiIiItLENPCKdID2YX5MGt4egKf+t4u8wmIXRyQiIiJSc0qkNwWlFelq7SIiIiIi0iyEdTa2CdshqWFWpQNMvqQjLQO9OH4ql7dWHXR1ONWz+iX81zwDakcjIiIip1EivbGz2U6rSK+8tUuoWruIiIiIiDQtYV0h9DwoyIS5l8DOL10dUaV8PNx4/KquALy58iDHUnNcHNE5ZKdgXvEsvjs+hMQdro5GREREGhAl0hu7/EwoyjP2z6hIT1ZrFxERERGRpsnNAyb+AO0uhMJs+OwO+PFxKC5ydWQVXNWzJUM6tCC/yMpT/9vl6nDO7uivZfsJ21wXh4iIiDQ4SqQ3dtklbV3cfcHDt9xL9or0Fn5q7SIiIiIi0uT4hsKfv4ShDxnP170OH44ta/3YQJhMJmZe3R03s4mluxJZsTfJ1SFV7UhZIt0U/4cLAxEREZGGRon0xi6r5IdQv7AKL9l7pIepIl1EREREpGmyuMGop+DGD8DDD46shrcvhGObXB1ZOZ0i/Jk4tC0AM7/ZSX5RA1149Miasv34rS4LQ0RERBoeJdIbu9L+6OXbulitNk5ml/RIVyJdRERERKRp63YNTPrZ6JueeQIWXAGb3m1QC2b+5dJOhPl7cuRkDu+uPuzqcCrKSYWknWXPE3aAtYEm/EVERKTeKZHe2Nlbu5zRHz09t5Biq/FDc4ivWruIiIiIiDR5YZ2NZHrXq8FaCN/9Db66HwpzXR0ZAP5e7jx2ZRcAXv/5AHFpDSOuUkfXAmBr0RGruw+molxI2efioERERKShUCK9sbP3P/Qt39rF3tYl0NsdDzdNs4iIiIhIs+Dpb7R5GTkTTGb4YyHMuwxOHXF1ZACM7dOKC9oGk1tYzHPf7XZ1OOXZFxptO5yiFl2NffVJFxERkRLKsDZ29tYuZ1SkJ5ck0rXQqIiIiIhIM2MywbC/wm1fgk8LSNgG71wEB5a5OrKShUd7YDbBd9vj+fVAiqtDKlPSH90WM5TC0G7GMSXSRUREpIQS6Y2dfbHRMyrST2apP7qIiIiISLPW/iK4ZxVEnQ+5p+Cj62HViy7vm94tKoAJg9sCMOObnRQUWV0aD2B8fRK2G/sxQykM62Hsn9jqspBERESkYVEivbGroke6vbVLmBLpIiIiIiLNV1A03LkE+t0B2GDFM7D+TVdHxcOjzqOFrwcHkrJ4f+0RV4cDsesBG4R0AP9IisJKKtITtoG1AST6RURExOWUSG/sSivSK0+kq7WLiIiIiEgz5+YJY16DUU8Zz5c+ASd+d2lIgd7u/PNyY+HRF3/ay13vbeKdXw7yx7E0iopdkLguaetC26EAFAW1x+bmDQVZkHqo/uMRERGRBsfN1QFILVVRka7WLiIiIiIiUs6Qv8CxjbDnf/DZRPi/X8ArwGXhXN+vNd9tj2fVvmSW70li+R6jSMjXw0K/tiEMbBfCoPYh9GwVhIdbHdeAnbbQKABmN4joAXGbIH4rhHas2/uLiIhIg6dEemNWkGNUSECFHun2inQl0kVEREREBDAWIb3mdYjfBqcOw/8ehnHvGsddwGw2Mf+OC9gRl86GwyfZeDiVjYdTycgr4pd9yfyyzyga8nI30y8mmAFtWzCwfQh9ooPwcrc4L5C8jLJFRWOGlh1v2asskd7zeufdT0RERBolJdIbs+ySti5uXuDpX+6llJKKdLV2ERERERGRUt7BcP08mH857PgvtB8B509wWTgWs4ne0UH0jg7ings7UGy1sSchgw2HjKT6xiOppGYX8OuBk/x64CRgJNbvHtaeyZd0dE5CPXY92KwQ3BYCW5X2RLe17IMJtOCoiIiIAEqkN25ZJW1dfMMrVJGoIl1ERERERCoVPQAunQ7LnoTv/wGtL4Dwrq6OCjAS692jAukeFcidw9phtdo4kJzFhkMn2XA4lQ2HU0nOzOf1FQf4dtsJnr6mBxeeF3bugc/maEl/9Jhh5Y+37G1s47eBzeayyn0RERFpGLTYaGNmr0j3K/+Do81mK02khymRLiIiIiIiZxryEHS4FIpyjX7pBTmujqhSZrOJ8yL8uW1wW16/5Xw2PnYpb/25H5EBXhw9mcOE+Rt58JPfScrMq/lNjtj7ow8tfzysM1g8ID8dTh2p+fgiIiLSJCiR3phllSTSfcsvNJpTUExeofFxRLV2ERERERGRCsxmuPZt8IuA5N2w5FFXR1QtJpOJy3tEsuxvI5g4tC1mE3z7xwkufXkVH64/itVqc2zA/Cw48buxH3NGIt3iARHdjf34rbWOXURERBo3JdIbs+yS1i5+lS806u1uwddT3XtERERERKQSfmFw3TuACba8Dzs+d3VE1ebn6caMMd35ZvIwerUOJDOviOlf7eC6N9ey60RG9Qc6tgFsxRDYBoJjKr5e2t7lD+cELiIiIo2WEumNWRUV6fZEuqrRRURERETkrNpfBMP/Zux/+1dIPezKaBzWo1UgX94/lCfHdMPP042tx9IY8/oanv1uF9n5Rece4EhJf/Qz27rYKZEuIiIiJZRIb8xKe6SfmUgvALTQqIiIiIiIVMNFU6HNYMjPgP9OhKICV0fkEIvZxB1D27Fsygiu7BlJsdXG3NWHueyVX1i2K/HsFx8t6Y9+ZlsXu5Z9jO2JrcaCoyIiItJsKZHemGWVtHbxrby1ixLpIiIiIiJyThY3GPcueAcb/cKXz3R1RDUSGejFG7f2Y/4d/WkV5E1cWi53f/Ab//fhb8Sn51a8oCAH4rYY+1VVpId3A7Mb5KZC+vG6C15EREQaPJcn0ufMmUPbtm3x8vJi4MCBbNy48aznv/rqq3Tu3Blvb2+io6N5+OGHycsrW6H9ySefxGQylXt06dKl3Bh5eXk88MADtGjRAj8/P8aNG0di4jkqFRqiKirST5ZWpKu1i4iIiIiIVENga7jmDWN/3euw70fXxlOVtFhYOqOsqKgSl3SJYOmUC/m/Ee2xmE38uDORUbN/4f21Ryg+fTHS4xvBWggBrSC4XeWDuXtBeFdjX+1dREREmjWXJtIXL17MlClTmDFjBlu2bKF3796MHj2apKSkSs9fuHAhjz76KDNmzGD37t3MmzePxYsX89hjj5U7r3v37sTHx5c+1qxZU+71hx9+mG+//ZbPPvuMVatWceLECa677ro6e591prQivfIe6apIFxERERGRautyJQy8z9j/8l5Ij3NtPGey2Yy4fn0Vfnr8rKf6eLgx9YqufPeXYfRtE0RWfhEzvtnJ9W+tZU9CyWKkR05r62IyVT1YaZ/0rbV+CyIiTcrRtbDyebAWuzoSkXrh0kT67NmzmTRpEhMnTqRbt2689dZb+Pj4MH/+/ErPX7t2LUOHDuWWW26hbdu2XHbZZdx8880Vqtjd3NyIjIwsfYSGhpa+lp6ezrx585g9ezaXXHIJ/fr1Y8GCBaxdu5b169fX6ft1qqI8yE839v2qau2iinQREREREXHAqJlG4jg3Fb6YBMXVWLCzvhz8uayn+Y7PIePEOS/pEhnA5/cO4elruuPn6cbvsWn86d9rePHHPVgPrzZOqqqti529T7oq0kVEyvv+77DyOTi0wtWRiNQLN1fduKCggM2bNzN16tTSY2azmZEjR7Ju3bpKrxkyZAgfffQRGzduZMCAARw6dIjvv/+e2267rdx5+/fvJyoqCi8vLwYPHsysWbNo06YNAJs3b6awsJCRI0eWnt+lSxfatGnDunXrGDRoUKX3zs/PJz8/v/R5RoZRxWC1WrFarTX7ItSA1WrFZrNhzUzCDNgsHtg8AuC0GFIyjThDfD3qNTZxrtK51hw2eZrr5kNz3XxorpsPZ821vlekwXDzhOsXwNsjjKT1Ly/AxeU/AYzVCoXZkJ9pPPIyjIVK8zOhIAuiB0JoJ+fGZbPBz08b+yYzWItg41wYOeOcl5rNJm4b3JZR3SJ54usd/LQrkXdX7OYhr014AMQMO/sAZy44erbqdRGR5sJmg5MHjP2Th6Cja8MRqQ8uS6SnpKRQXFxMREREueMRERHs2bOn0mtuueUWUlJSGDZsGDabjaKiIu69995yrV0GDhzIe++9R+fOnYmPj2fmzJkMHz6cHTt24O/vT0JCAh4eHgQFBVW4b0JCQpXxzpo1i5kzKy66k5ycXK5He12zWq2kp6fjlh9LGGD1CiE5uXx/wMT0HAAshTlVtsmRhs8+1zabDbPZ5csZSB3SXDcfmuvmQ3PdfDhrrjMzM50YlUgttegAY16Fz++CVS8YleD5WSWJ85KEObaqr/dpAZN/A58Q58W053/GQqjuvnD5c/DtQ/DbfLjwEfDwrdYQkYFevDOhP0t2JPD1V4vwKCoiyRbEiz9n8dhVBQT7VvGJ3ojuRvI+OwkyEyCgpfPel4hIY5WVaHRLAEg76tpYROqJyxLpNbFy5Uqee+453njjDQYOHMiBAwd46KGHePrpp5k+fToAV1xxRen5vXr1YuDAgcTExPDpp59y11131fjeU6dOZcqUKaXPMzIyiI6OJiwsjICAgJq/KQdZrVZMJhMhaYcAMAdEEh5evkf6qVyjN1XH1uGEh/vXW2ziXPa5DgsLUxKmidNcNx+a6+ZDc918OGuuvby8nBiViBP0vB4OrYTfP4Tjmyo/x+wGngHg6V+2TT0EWQlG9fifXnFOLNZi+PlZY3/QvdD3NljzKpw6DFsXwoBJDg13eY9ILkrIhjWw3tqVz7bE8fPeZJ4Y042re0dVvMDDB0I7Q/Juo72LEukiInDqSOX7Ik2YyxLpoaGhWCwWEhMTyx1PTEwkMjKy0mumT5/Obbfdxt133w1Az549yc7O5p577uHxxx+v9JeXoKAgzjvvPA4cMD5uEhkZSUFBAWlpaeWq0s92XwBPT088PSsu3mk2m+v9F2STyYQpJ8XY9wvHdNr9C4qsZOQZfQzDA7z1y3sjZzKZXPI9JvVPc918aK6bD8118+GMudb3iTRIf3oFOl1mVGN7+hsPr8CyfTevim1OjqyB966C3xYYCe9W59c+jh2fG0lsr0AY8iCYLTDofvjh77D+Deh/Fzj4b8jruNFOtPfQq+i0y4/9SVk8tGgrX2yJ4+lrulGhNj2qT0kifSt0vrz270lEpLE7PXmuinRpJlz2E7uHhwf9+vVj+fLlpcesVivLly9n8ODBlV6Tk5NT4ZcMi8UCgM1W+UcLs7KyOHjwIC1bGlUD/fr1w93dvdx99+7dS2xsbJX3bZCySlq2+JavRj+ZbfRHdzObCPR2r++oRERERESkqbC4Q7eroeufoP0IIyneogP4hYO7d+W9wtsOg17jARt897dyaznVSHEhrHjO2B/yF/AONvb73GIk1lMPwb4ljo1ZlF9aZR/T7zK++8tw/jbqPDwsZlbtS2b0q2v46LcE8ouKy65p2dvYasFRERFDuYr0WJeFIVKfXFr6MmXKFObOncv777/P7t27ue+++8jOzmbixIkATJgwodxipGPGjOHNN99k0aJFHD58mKVLlzJ9+nTGjBlTmlB/5JFHWLVqFUeOHGHt2rVce+21WCwWbr75ZgACAwO56667mDJlCitWrGDz5s1MnDiRwYMHV7nQaENkyi7pi+4XVu54SmYBYCw0ajZrERwREREREalno542Wr2c2AK/f1C7sX7/yGjh4hsGA+8tO+7pB/2M3xtZN8exMeM2G319fcMg9Dw83Mw8eGknfvjrcAa0CyG3sJjX18Qx+tXVfL893ijaUiJdRKS80xPp+emQe8ploYjUF5f2SB8/fjzJyck88cQTJCQk0KdPH5YsWVK6AGlsbGy5CvRp06ZhMpmYNm0acXFxhIWFMWbMGJ599tnSc44fP87NN9/MyZMnCQsLY9iwYaxfv56wsLKE8yuvvILZbGbcuHHk5+czevRo3njjjfp7486QXXlFekpJRXqoX8U2NCIiIiIiInXOPwIufgyWPArLnoQuY8C3hePjFObBLy8a+8OmGMnz0w24B9a9DkfXGAuRRvWt3rhHfjW2MUPKVdV3CPNj0aRBfPpbLC8u2UNsai73f7yFfjHBTL8smj6YICMOspIrFDSJiDQ7Z/ZFP3W07FNDIk2UyxcbnTx5MpMnT670tZUrV5Z77ubmxowZM5gxY0aV4y1atOic9/Ty8mLOnDnMmeNg5UJDkmWvSD8jkZ5Zkkj3VyJdRERERERc5IJJRjV54g5YPhOu/rfjY/w230hcB7SC/ndWfD2wFXS/DrZ/CuvegHFzqzfu0TXGtu3wCi+ZzSZu7B/NgEg3vtyTxdzVh9h89BRj555ivX9rIguPGVXpnUY6/n5ERJqS1MPG1s0binKNPulRfVwakkhd06pGjZW9tYtv+UqIk9lGa5dQ3wrL44iIiIiIiNQPixtc+ZKxv+UDOP6bY9fnZ8Hql439Ef8Ad6/Kzxt8v7Hd+QWkx5173KICOLbR2I8ZWuVpPh4WHh7ZiZWPXMwN/VpjMsH6vGgAVq76ifScwuq+ExGRpqcgB7ISjP2YkvUG09QnXZo+JdIbK3trF1Wki4iIiIhIQxQzGHrfQtnCo8XnvKTUhjchJwWC20GfW6s+L6ovxAwDaxFsfOfc4574HQpzwDsEwrqc8/TIQC9evKE33z04nOyQHgDkHt3CiJdWsODXwxQU1XIxVRGRxsieNPcMhJZ9jP1TR10Wjkh9USK9MSouxGRfxOHMHulZ9h7pqkgXEREREREXGzXTSLTEb4XNC6p3Te4p+PU/xv7Fj4HF/eznD37A2G5eYFSyn429rUvMEDBX/9fhblEB3HLNnwDo43aUtJxCZn67i8teWcWSHQnGgqQiIs2FvT96cIzxAKO1i0gTp0R6I2TOTTV2TJYKCznYW7u08FVFuoiIiIiIuJhfOFw63dhf/hRkp5z7mrX/gfx0CO8GPcad+/zzLoeQ9pCXDlsXnv1c+0KjbYede9wzmFr2BqClLYmXroom1M+TIydzuPejzYx/ez1xabkOjyki0iiVJtLbQlBJIl0V6dIMKJHeCJlzS3749A2rUEWRrNYuIiIiIiLSkPS/EyJ7GYnuZTPOfm5WEqx/y9i/+HEwW849vtkMg0p6pa9/o+oWMsVFcGyDsV+DRDreQUarGeD6qJOs/PtFPHhJR7zczWw8ksr4t9dxLDXH8XFFRBqb0xPppRXpsaBP50gTp0R6I1SaSPcLq/BaSpa9Il2tXUREREREpAEwW+CqkoVDf/+obLHPyqyeDYXZEHU+dLmq+vfocwt4BcGpw7D3h8rPif8DCrKM88K7V3/s05VUpRP/B36ebvztss4sfXgE7UJ9OX4ql5veWU/sSSXTRaSJOz2RHhgNJjMU5Rp/DBVpwpRIb4QsOSeNnTP6o1utNlKzjYr0MFWki4iIiIhIQxE9APr+2dj/bopRHX6m9OPw2zxj/5JpYDJVf3wPX6PyHWDdnMrPObLa2DrYH72cqD7GNn5r6aHoEB8W3TOI9qG+xKXlctM76ziSkl2z8UVEGoPTE+kWdwhoZTxXn3Rp4pRIb4TKKtLLJ9JP5RRgLfkUTYgq0kVEREREpCEZOdOoBk/YDr/Nr/j6qheguABihkGHSxwff8A9YHaH2LUQt7ni60dL+qPHDHV8bLvTKtJPFxHgxaJ7BtEhzJcT6Xnc9M56DiuZLiJNkc1WPpEO6pMuzYYS6Y2QOddekV6+tYt9odEgH3fcLZpaERERERFpQHxD4dInjP2fnynfAuDkQaPtCxiLkzpSjW4X0LJscdJ1b5R/zVoMseuN/ba1SaT3Mbaph4ye76cJD/Bi0T2D6RTuR0JGHuPfXsfB5Kya30tEpCHKSjLauJjMRlsXgKA2xjbtiMvCEqkPyrY2QuacyivSU+wLjfqprYuIiIiIiDRA/e4wktH56bD0tIVHV84CWzF0HAVtBtV8/MEli47u/NJoFWOXsA3yM8AzwFj4tKZ8QiCwJGEUv63Cy2H+nnxyzyA6R/iTlJnPTe+s50BSZs3v10AVFVt5Zek+vvz9+LlPFpGmxV6NHtAa3Eq6IQSrIl2aByXSG6GyivTyifTkLHsiXW1dRERERESkATJb4KrZgAn+WAhH10HiLtj+X+P1S6bVbvyWvaHtcCMpv+HtsuNHStq6tBlsxFCre5Qk4s9o72IX6ufJwkkD6RLpT3JmPje9s4F9iU0rmf7Ksn28tnw/Uz79g42HU10djojUp1OHja09eQ5lrV3UI12aOCXSG6HSRLrfGa1dsozWLi1UkS4iIiIiIg1V637Q73Zj/7u/wfKnABt0u6ZsMc/aGDzZ2G5+H/JLEthH1hjb2rR1satkwdEztfDz5JNJg+jWMoCUrHxufmc9exIyan/vupR2DKzWc562Ym8Sc1YcBIxWyX/7bCtZ+ZUsHisiTZO9Ij2kXdkxVaRLM6FEeiNU2trljIr0lJKK9DAl0kVERESknsyZM4e2bdvi5eXFwIED2bhxY5Xnzp07l+HDhxMcHExwcDAjR4486/nShF06A7yDIWkn7PvB6LV78ePOGbvTZdCio9E+5vePS/qjrzVeixlW+/HtfdKrqEi3C/b1YOGkgfRoFcDJ7AJumbuBXScaaDJ9x+fwag9Y+dxZT4tLy+XhxVsBuKFfa1oFeXMsNZdn/rerHoIUkQbhzIVGoawiPf04FOsPa9J0KZHe2FiLMOedMvbP7JGu1i4iIiIiUo8WL17MlClTmDFjBlu2bKF3796MHj2apKSkSs9fuXIlN998MytWrGDdunVER0dz2WWXERcXV8+Ri8v5hMDIJ8ue9xoPYZ2dM7bZDINKeqWvf8Poj56XDh5+RuuX2rKPkbIf8s++mGiQjwcf3zWIXq0DSc0u4JZ317MjLv2s17jE5veM7Ya3oSC70lMKiqxMXriFtJxCerYK5Jlre/Dyjb0xmWDRpmMs351Yf/GKiOtUlkj3bwkWD6OtVob+ny5NlxLpjU3OSUzYsJnM4NOi3Etq7SIiIiIi9Wn27NlMmjSJiRMn0q1bN9566y18fHyYP39+ped//PHH3H///fTp04cuXbrw7rvvYrVaWb58eT1HLg1C3wnQbgR4h8BFjzp37N43GxXvaUfhp+nGsTaDwOJW+7H9wsE/CrBBwvZznh7o486Hdw2kT3QQaTmF3PruBrYfb0DJ9KzkstY3+Rll/erP8PySPfwem4a/lxtv3Ho+nm4WBrVvwV1DjfYO//x8OydLirtEpAmrLJFuNkNgtLGvPunShDnhpwipV1kl1T0+LSosklNWka5EuoiIiIjUrYKCAjZv3szUqVNLj5nNZkaOHMm6deuqNUZOTg6FhYWEhIRUeU5+fj75+WXJuYwMozWG1WrFWo1+zs5itVqx2Wz1es9m4dbPjQpGi0e1+nNXm5sXpn53YlrzMhxZDYC1zZBq3aM6c21q2QtT5gmsJ7ZC9MBzjunvaeG9if2ZuOA3fj+Wxq3vruf2wTH4e7nj42HB19MNP09j6+vphq9H2b6PuwWz2VTtt+6w3d9itlmxYTKKtn6bh63Pn8FUds8lOxKYt8ZYYPCl63vRKsir9Ovzt1GdWLUvmf1JWTz25XbeuKUvJlMdxutE+nfdfFgTduJ+4gDW0DGuDqVxK8zFnBkPgDUwptx/U01BMZhSD2JNPeKcNlo1pH/XzYez5tqR65VIb2yyk42tb1iFl1JKK9LV2kVERERE6lZKSgrFxcVERESUOx4REcGePXuqNcY///lPoqKiGDlyZJXnzJo1i5kzZ1Y4npycTF5enmNB14LVaiU9PR2bzYbZrA/2NgbmdmMJW/tvTNZCAE4FdKOwirZDp6vOXPv5d8QPyD+8nvR211Y7ppf+1JaHv97PthPZ/Kdkwc7q8HY306OlL/+8JIbWQc4tnAre+hmeQE7vifjs+AhT/B+k7lhOYUQvAI6n5fP3/xo90G/tF0HvUFOF9k3TRkZz56Ld/LgzkQ9+2cMVXVuceZsGSf+umwmbjbCPriMkN4Ukvx+wBbV1dUSNluXUQcIAq4cfSZmFZcWeQIBXGD5ATtwuslqd+7+1dUX/rpsPZ811ZmZmtc9VIr2xyS75j9EZC43abDYtNioiIiIijca//vUvFi1axMqVK/Hy8qryvKlTpzJlypTS5xkZGURHRxMWFkZAQEB9hAoYv6yZTCbCwsL0i3mjEQ49r4c/PsHm7kNw90vA4n7Oq6o11x2HwObX8Urbi2d4eOXnVOHjSWF8uP4ocWl5ZOcXkZ1fRFZ+MdkFReTkF5FdUExWyXGrzbgmt9DKpthMJizczfSrunJj/9bOqfrOOYnpxAYAvIc/ALZs2LaYkENfYus5kvzCYu76dD3ZBVb6xQTzxNg+uFsqfk3Cw+Gvlxbx8tL9vLzyOKN6tyUqyLv28dUx/btuJlIPYc4xcimhOQcxnTfAxQE1Ymm/A2AKaUf4GX9Ip2UX2AW+hSn4OPjfRWfSv+vmw1lzfbafQ8+kRHpjk1VSke5XviI9K7+I/CLjowiqSBcRERGRuhYaGorFYiExsfwCg4mJiURGRp712pdeeol//etfLFu2jF69ep31XE9PTzw9KxaKmM3mev8F2WQyueS+UgvDHoa932Pqfi0m9+oXHJ1zrlv1Nc5L3oupKA88fKo9tr+3B/df3Omc59lsNvIKrWQXFJGUkc9T/9vJ+kOpTP1yB8v3JPOvcT1r39Zz3w9Ga53InphDO8IFd8O2xZh2foFp9LM8/WMcO09kEOLrweu39MXTveoUwn0XdeTnvcn8HpvGPz7fzkd3DazbljROon/XzUD81tJdc8IfmMy3ui6Wxi49FgBTcFtMZ/6bKemZbkqLrfhaPdO/6+bDGXPtyLX6jmpkTFVUpNsXGvXxsODjob+PiIiIiEjd8vDwoF+/fuUWCrUvHDp48OAqr3vhhRd4+umnWbJkCf3796+PUKU5C+sM/zgMY15z7rj+LY12mzYrJO507tglTCYT3h4WQv086RYVwMK7B/HYlV3wsJhZtjuR0a/8wtJdiece6Gx2fmVsu401tq0vgIieUJTH9u/eZOGGWEwmeHV8H1oGnr3C3M1iZvaNffB2t7D24EneX3ekdrGJOEvclrL9E7+7Lo6moLKFRu2CY0rO0WKj0nQpkd7YlPRIt53RI10LjYqIiIhIfZsyZQpz587l/fffZ/fu3dx3331kZ2czceJEACZMmFBuMdLnn3+e6dOnM3/+fNq2bUtCQgIJCQlkZWW56i1Ic2C2OH9Mkwla9jH2T6t2rUtms4l7LuzA15OH0iXSn5PZBUz64Dce/Xwb2flFjg+YkwqHVxn79kS6yQQX3AmA/44PMWHlwYs7cuF5Fdfoqky7UF8eu7ILAP/6YQ8Hkqrfd1akzpyePE/YDsU1+PcihlRj0eFKE+n23vNZCVCYW18RidQrJdIbm9LWLuUr0ssS6WrrIiIiIiL1Y/z48bz00ks88cQT9OnTh61bt7JkyZLSBUhjY2OJj48vPf/NN9+koKCA66+/npYtW5Y+XnrpJVe9BZGaa9nb2Mb/Ua+37doygK8nD+WeC9tjMsGiTce44rXVbD6a6thAe78HaxGEd4fQjqWHc7pcRzbetDXFM6nVMR4aeZ5Dw/55UAzDO4WSX2Rlyqd/UFhsdSwuEWeyFpf+G7VhwlSUC8nVWxBbKlFakd6u4ms+IeDhZ+ynHau3kETqkxLpjU1pa5czK9KN1i4tVJEuIiIiIvVo8uTJHD16lPz8fDZs2MDAgQNLX1u5ciXvvfde6fMjR45gs9kqPJ588sn6D1yktqL6GNt6qkg/naebhceu7MrCuwfRKsib2NQcbnhrHS/9uLf6ietdXxvb7mNLD9lsNqZ9d4T/Fg0D4G8ha7A42OfcZDLx4vW9CfByY9vxdF7/+YDxQlE+ZCU5NJZIrSXvhcJsbO6+FLbsZxxTe5easdnO3trFZIKgkvYuaWrvIk2TEumNTUlrlzN7pKu1i4iIiIiISD2yV6Qn7TaSxC4wuEMLfvjrcK7r2wqrDV5fcYDr3lh77pYquWlwcIWx3+2a0sOLNx3ji9/jWGgdBYDngSWQccLhuCIDvXh6bA/AiGnbkUR4dyTM7lqWwBepD/akecveFIb3Kn9MHJOVBEW5YDJDYHTl55T2ST9Sb2GJ1Ccl0hsTqxWyU4x9v8p7pIeptYuIiIiIiEjdC4wG72CjPUrSLpeFEeDlzuzxfZhzy/kE+bizPS6dq/69hjdWHmD1/mR2xKVzLDWHrPwibDabcdHeH8BaCGFdjQVZgZ0n0nniG2Ph1GsuuxTaDAFbMWz5oEZxXdOnFX/q1ZJiq42tC6dBwjbja/X53XBkjVPe++l+2ZfMsOd/5oGFW2rWM16aphMlC41GnU9hWM+SY0qk14g9OR7QGtyqyD2pIl2aODdXByAOyE3FZCs29n1Cy710Uq1dRERERERE6o99wdFDK+DEVojq69JwrurVkv5tg/n7f7fxy75kXliyt8I57hYTgd4e/If5DAa+KbyANf/9gyAfD5bsSKCgyMrFncO498IO0OIuiF0Lm9+D4X8Di7vDMT0ztgeph7Zwc/7nYAIiekDiDvjkZpj4A0T2qPX7ttlsvLHyIC/9tBebDY6fyiX2ZA7z77iAMH/9ftzsxRmJdFtUHwo9S5K8iTugqKDqZLBUrrStS0zV55RWpCuRLk2TKtIbk5K2LlavoAo/xKi1i4iIiIiISD1z0YKjVYkI8OL9iRfw7LU9GNQ+hM4R/kQEeOLhZvzqX1hsIy/rFOcXGsnF1xO78+lvx3nnl0PEpubQKsib2Tf2wWw2QdcxRgFXZrxRwV4DQZ5m3gp4D3dTMT8UX8CvF39qVLrnZ8BH42qdbMvMK+Tejzbz4o9GEv2qXi0JLqnKv+7NXzmYnFWr8aWRKyowkuYAUedTHBCNzSsIigtc+imSRuts/dHtVJEuTZwq0huT8K5Yp54g5dgBQs94qawiXX9RFRERERERqRelifStLg3jdCaTiVsHxnDrwLKqUZvNRl6hlVM5BVj/WIzniiKy/Ntz++WXk5ZbRFpOATkFxUwY3JZg35LfKd084fzbYM0r8Ns86Ha148Gsf4OA1O3kWvx4Iu8OLF/s4bVr5zAw71YjkfnRdXDnj+B75m+453YgKYv/+/A3DiZn42ExM/Oa7tw8oA2HU7K5Y8FGjp7MYdyba5k7oT8XtA1xPHZp/JJ2GklzryAj+ZucbHxy5NAKo72LfcFgqZ7qJNLtFelpsXUdjYhLqCK9sXH3xuoXUeFwsirSRURERERE6pc9EZe4E4oLXRrK2ZhMJrw9LEQFedM6fikAfn3HceugtjxwcUcev6obz17bk86R/uUv7DcRMMGhlXDyoGM3PXkQVjwLgPny5/APbU1CRh7j39/NQ27TKfBrBScPwMIbId+xyvEfdyYwds6vHEzOJjLAi8X/N4ibB7QBoF2oL5/fN4Q+0UGk5RRy67sb+G5bvGOxS9MQZ++P3tdoxQRGOyYo650u1edIRXruKcjLqOuIROqdEulNQF5hMZl5xmIqYUqki4iIiIiI1I/gduAZaFS9Ju9xdTTnlp8J+41EOt3Gnvv84BjodJmx/9v86t/HaoVv/gJFedBuBJ79J/DpvYOZMDgGN7OJrw/ZuOLkX8kyB0DcZvh0QrX+EFFstfHij3v4vw83k5VfxIB2IXz74DD6tgkud16onyefTBrEqG4RFBRZmfzJFt5dfahssVVpHuzJ8lbnlx6y2dcy0IKjjitNpLer+hxPP/BpYeyrvYs0QUqkNwGp2UZbF3eLiQBvdesRERERERGpFyYTtOxl7H8+CfZ8Bw05WbvvRyjOh5AOENG9etdccJex/f0jKMyt3jVb3oeja8DdB8a8BiYToX6ePHVND37+20WM7RPFIVrx59xHyLF5wsHl5P73PiMBX4W0nAImvreJOSuMyvg7h7bj47sHVrmgqLeHhbf+3I8Jg2Ow2eCZ73Yz89tdFFsb8PyIc53YamyjyhLppZ8iSdpd/e9ngcI8yDxh7J+tIh3KqtK14Kg0QUqkNwH2hUZb+Hpisn9cSUREREREROreiH8YVenJu2HRLTBvFBz+xdVRVW7X18a22zVlrS7OpeNICGwDeWmw88tzn58eB0ufMPYvmQ4h5atX27Tw4dWb+vLdg8MJPm8w9xc+RJHNjPfuz9gw90HScytWpu86kcGY19fwy75kvNzNvHZTH54Y0w13y9lTGhaziZlXd+exK7sA8N7aI9z/8WbyCour9dalESvIMZLlYLR2sQtobSyiay0yWjJJ9diryz38weccaw4Ea8FRabqUSG8C7In0UH8tNCoiIiIiIlKv2l0If/0Dhj0Mbt5wfBO8PwY+GFvWo7khKMgua+vSfWz1rzNboP8dxv6meWc/12aD76ZAfga06g8D/6/KU7tFBbBg4gDuu/te3gh8GICB8R8x9/kpvLXqYGmy+6vf47juzV85lppLmxAfvrx/KNf0aVXt8E0mE/dc2IH/3NwXD4uZH3cmcvPc9aWf7JYmKmEb2IrBLwICosqOm0xliXW1d6k+e1uXkLbn/iOcKtKlCVMivQlIyTJ+AGjhq/7oIiIiIiIi9c47GEY+CQ9thQsmgdkdDq2AuRfD4j9D8l5XRwj7f4KiXKMtQ2Qvx67tO8F4T3G/lbXLqMyOz2HfEuPca143kvDnMLB9Cx58eDr7e/0dgEf4gN0/vsuIF1cweeEW/rp4K3mFVkacF8Y3k4fStWVA+QHyM2HvElgyFeZeAmteqfQ+Y3pH8eFdAwjwcuP32DTGvbmWoyezq/sVkMbGniSPOr9i4leJdMdVZ6FRO1WkSxOmRHoTUFqRroVGRUREREREXMc/Eq56CR78DXrdBJhg97fwxiD46n5Ii3VdbDu/Mrbdxla/rYudXxh0u9rY/62KqvTsk/DDP4z9C/8O4V2rPbzJZKLTtY9jHXg/AC97vE3nrI38b1s8AA9e0pH5d1xAkI8HFOXDkTXw87Pw7ij4Vwx8Mh7Wv2EsXLpsZpUJ0oHtW/DF/UNoFeTN4ZRsrn9rPTvilUxvkuIqLjRayn5MifTqcySRHtSm5Bol0qXpUSK9CUjJNCrS1dpFRERERESkAQhuC9e9Dfevgy5/ApsVtn4M/+kHP/wTspLrN56CHKMiHYz+6DXRv2TR0e3/hbz0iq//OBVyTkJ4N6PNjaNMJsyjn4WeN+BGMfO8/80trZN55899+VuPXCzr/g0fXmskzt+7Cn55AY5vNNp3BLeDfndA+4sBG3z/9yoXLu0Y7s+X9w+hR6sATmYX8MDne1m2O9HxeKVhO1GSSD+9P7pdyz7GNnmP0fJIzs2hRHrJOWlHG/biyyI14ObqAKT2TmaXVKSrtYuIiIiIiEjDEd4VbvoYjm+G5TPh8CrY8BZs+cDoI2wrBmtxydZ6xvMzjscMhevngVeg43EcWAaFOUalaGWJxeqIGQJhXY1FVf9YVL7/+b6fYNtiMJnh6tfBrYZFXmYzXPMGZKfgfmgFz2U+Ad89Cbmnyp/nGwbtRkD7EcbW3koiIx5e72/0qf/jE+h7a6W3CQ/wYvE9g7n/4y2s2pfMvR9t4emxPbh1YEzN4paGJS8dTh4w9qMqqUgPaAn+LSEzHuK3Qczg+o2vMXIokR4NmIz/5mSnGJ9oEWkiVJHeBGixURERERERkQasdT+4/RuY8DW06mckmJJ3Q8o+SD1oJKnSYyEjDrISIDsZclONhGBBpnH+gaWwcLxRXe6oXV8Z227XON7Wxc5kggtKqtI3zSurNM3LgP+VVKAPut94r7Xh5gHjPzSqhvPTjSS6hz+cdzmMngX3rYVH9ht/VDh/QlkSHYwE6YiS9jLLZkBuWpW38fV0453bzmdM9xZYbfD4lzt4+ae92FRB2/jZ+/gHtQHfFpWfoz7p1WeznZZIb3fu8908jT9UgPqkS5OjivQm4KQWGxUREREREWn42l9kVFCf2AL5WcZinCbLaVvzGc8tRpV3xglYdCvErjMWL735EyNZVR2FubDvR2O/29jaxd9rPCydASl74eiv0HaYUWmfcdyoVL348dqNb+fpDxO+Mvq6R3Q3kp4W9+pdO/A+2PIhnNwPK/8FV/yrylPdLWYeGxlDu4hg/v3zAf7z8wHi0/OYdV1P3C2qO2y0ztbWxS6qL+z9Xon06shONv6YhwkCo6t3TXAMZJ4wEvCt+9dldCL1Son0JkCLjYqIiIiIiDQSJpNRle6IFh3g1k+NHuEHl8Pnd8P1C8BSjV/pDyyHgiwIaO34fc/kFQC9boDN7xlV6SYzbHrXeO3q/4CHT+3GP513MPSf6Ph1bh5wxfPw0XWw8R04/zYjGV8Fk8nEX0d2IirIm8e/2sF/Nx8nKTOfN249Hz9PpUwaJXtyvLK2LnaqSK8+ezV6YOvqt20KijH+8KeKdGli9CfWRq7YaiM1W4uNioiIiIiINGltBsH4j8DiAbu/gW//UuWCmuXs+trY1qaty+nsi47u/ga+us/YP/92aHdh7cd2lo6XQtcxRm/57/9RrQUPbxrQhrkT+uHtbuGXfcnc9M46kjLz6iFYcbq4kuR4q7Mk0u0Ljp7cb7Qnkqo50h/dzt5y6ZQS6dK0uDyRPmfOHNq2bYuXlxcDBw5k48aNZz3/1VdfpXPnznh7exMdHc3DDz9MXl7Z/9xmzZrFBRdcgL+/P+Hh4YwdO5a9e/eWG+Oiiy7CZDKVe9x777118v7q2qmcAqw24+ehEB8l0kVERERERJqsjpfCuJJK8K0fw49Tz54kLsqHvT8Y+92ucU4MLXtB6wvAWmQk2PxbwqinnDO2M41+Dty84Oga2PF5tS65pEsEi+4ZRAtfD3bEZXDdG2s5mJxVx4GKU2WnGOsNALTsXfV5fmFlbUri/6j7uBqz1MPGNtiBxXiDSs5VRbo0MS5NpC9evJgpU6YwY8YMtmzZQu/evRk9ejRJSUmVnr9w4UIeffRRZsyYwe7du5k3bx6LFy/mscceKz1n1apVPPDAA6xfv56lS5dSWFjIZZddRnZ2drmxJk2aRHx8fOnjhRdeqNP3WlfsbV2CfTxwUw83ERERERGRpq3b1XDNHGN/w1uwclbV5x782Vis1D/KSH47i70qHeCq2eAd5LyxnSWoDQz/m7H/0zSjJ3019I4O4vP7hhDTwofjp3K5/s21bD56qg4DFaeyt2pp0Qm8As9+rtq7VI8jC43aqSJdmiiXZl5nz57NpEmTmDhxIt26deOtt97Cx8eH+fPnV3r+2rVrGTp0KLfccgtt27blsssu4+abby5Xxb5kyRLuuOMOunfvTu/evXnvvfeIjY1l8+bN5cby8fEhMjKy9BEQEFCn77WupGSWtHXxUzW6iIiIiIhIs9DnFrjiRWN/1fOw9vXKzytt63K1sZCps/S4DnreACP+CV2udN64zjbkL0Y7isx4+OXFal/WNtSXz+8bQu/WgZzKKeSWuev5aWdC3cVZCyv2JvHCkj2cSMt1dSgNQ1zJQqNna+tip0R69dSktYu9Ij39OFiLnR2RiMu4bOWMgoICNm/ezNSpU0uPmc1mRo4cybp16yq9ZsiQIXz00Uds3LiRAQMGcOjQIb7//ntuu+22Ku+Tnp4OQEhISLnjH3/8MR999BGRkZGMGTOG6dOn4+NT9cIo+fn55Ofnlz7PyDB6aFmtVqzV6UvnJFarFZvNVnrP5JKebS18Peo1Dql7Z861NF2a6+ZDc918aK6bD2fNtb5XRMRhA++B/HT4+Rn46XHw9Id+t5e9XlQAe7439ruNde693Txh3LvOHbMuuHvB5c/DJ+Nh3Rzo+2cI7VStS0P9PPnknkFMXvg7P+9J4t6PNjPzmh7cNsiB9hZ1KD49lye/2cmPOxMBWPDrEe6/qAOTLmyPl7vFxdG50ImSRLo9SX42pYn0LXUXT1NQk4r0gCgwu4O1EDJOQFB0nYQmUt9clkhPSUmhuLiYiIiIcscjIiLYs2dPpdfccsstpKSkMGzYMGw2G0VFRdx7773lWruczmq18te//pWhQ4fSo0ePcuPExMQQFRXFtm3b+Oc//8nevXv54osvqox31qxZzJw5s8Lx5OTkcj3a65rVaiU9PR2bzYbZbOZIwkkA/NxsVbbEkcbpzLmWpktz3XxorpsPzXXz4ay5zszMdGJUItJsDH/EWChx7b/h24fA0w96jDNeO7TSSLT7RUL0QJeG6VKdL4dOo2H/j/DDP+DPX1R70VUfDzfeua0f07/ewScbjzH9qx0cP5XDmF5RBHi5E+jtjr+XG2azExZxraaiYivvrT3CK0v3kV1QjJvZRMdwP/YkZPLy0n18uvkY067qxmXdIjA5Y3HZxsRmK6tIj6pORXofY3vqCOSkgk/I2c5ungrzIPOEse9IRbrZAoGt4dRho0+6EunSRLgskV4TK1eu5LnnnuONN95g4MCBHDhwgIceeoinn36a6dOnVzj/gQceYMeOHaxZs6bc8Xvuuad0v2fPnrRs2ZJLL72UgwcP0qFDh0rvPXXqVKZMmVL6PCMjg+joaMLCwuq1LYzVasVkMhEWFobZbCbfZPRqaxUaQHh4eL3FIXXvzLmWpktz3XxorpsPzXXz4ay59vLycmJUItJsmEzGQp/5mbB5AXxxD3j4wXmjy9q6dB3j3LYujdHls+DQCqNn/J7voOufqn2pm8XMc9f2JDLAm1eW7ePtVYd4e9Wh0tdNJvDzdCPQ20is2xPsgd7uBHi7EeTjwQVtQ+gfE1zrhPuW2FM8/uUOdscbn5DvHxPMM9f2oHOEP9/8cYJZ3+/hWGou//fhZoZ3CmXGmG50DPev1T0blYwTkJ0EJgtE9jz3+d7BRpX1qcMQvxU6XFLnITY6aSULt3r4O/6HhuAY42t76ii0Heb82ERcwGWJ9NDQUCwWC4mJieWOJyYmEhkZWek106dP57bbbuPuu+8GjCR4dnY299xzD48//ni5X14mT57M//73P3755Rdat2591lgGDjT+On/gwIEqE+menp54enpWOG42m+v9F2STyVR635NZRo/0MH8v/aLeBJ0+19K0aa6bD81186G5bj6cMdf6PhGRGjOZ4KqXoSALtn8Gn06AmxfBnv8Zr3cf69LwGoQWHYx+6atfgiVToeOl4O5d7ctNJhMPjexEdIg37/xyiFM5BaTnFpJXaMVmg8y8IjLzijh+quo+5a2DvRnbpxXXnt+KDmF+DoWfnlPI8z/u4ZONsdhsEOTjztQrunBDv+jS5Pw1fVoxsmsEb648yDu/HGL1/hQuf3U1tw9py0MjOxHg5e7QPRsle4uW8K7gUXXr3nKi+hrJ3hO/K5FemdP7ozv6CQd7n/Q0LTgqTYfLEukeHh7069eP5cuXM3bsWMCo6Fm+fDmTJ0+u9JqcnJwKv2RYLEbvL5vNVrp98MEH+fLLL1m5ciXt2p27h9PWrVsBaNmyZQ3fjeukZBl927XYqIiIiIiISDNltsDYNyE/C/b9AB+NA1sx+IZDm8Gujq5hGD4F/lgE6bGw5lW4eOo5LznTdee35rrzywr18ouKycgtIj23kIy8QmNb8kgveSRk5LNiTxLHT+Xy+ooDvL7iAL1aB3Jt31aM6R1FqF/Fgj07m83G11tP8Mx3u0gpKaK7vl9rpl7RhRaVXOfr6cYjoztzQ//WPPPdbpbuSmTemsN8vTWOf4zuwvX9WtdrG5p6F+dAf3S7qL6w8wstOFqV0kR6DdYGsF9zSol0aTpc2tplypQp3H777fTv358BAwbw6quvkp2dzcSJEwGYMGECrVq1YtasWQCMGTOG2bNn07dv39LWLtOnT2fMmDGlCfUHHniAhQsX8vXXX+Pv709CgrGydmBgIN7e3hw8eJCFCxdy5ZVX0qJFC7Zt28bDDz/MhRdeSK9evVzzhaiFk9nG/0xb+Fb9P18RERERERFp4izucMN7sPAGOPyLcazrGCPJLuDhC6Ofhc9uhzWvQO+byipma8jTzUKYv4Uw/7P/Pp5XWMzSXYl8+Xscq/Yls+14OtuOp/PMd7sZcV4YY/u24rJuEeUWCT2YnMX0r3aw9qCxLlrHcD+eGduDQe1bnDOumBa+zJ3Qn1X7kpn57U4OJWfzj8+38fGGo8y4ujvntwmu1ftusOzJ8FbV6I9uV7rg6Fanh9MknF6R7ihVpEsT5NJE+vjx40lOTuaJJ54gISGBPn36sGTJktIFSGNjY8tVoE+bNg2TycS0adOIi4sjLCyMMWPG8Oyzz5ae8+abbwJw0UUXlbvXggULuOOOO/Dw8GDZsmWlSfvo6GjGjRvHtGnT6v4N14GUzJKK9HP8j1tERERERESaOHcvuOkT+PBaiPsN+tzq6ogalm7XQLsRcHgV/Pg4jP+oXm7r5W5hTO8oxvSOIiUrn2//OMFXv8fxx/F0ft6TxM97kvDzdOOKHpFc06cVG4+k8tbKgxQUW/F0M/OXSzsxaXh7PNwcawM24rwwljx0IR+sO8Kry/bzx/F0rntjLePOb83EoW3p1jKg6VSo22xlifTqLDRq17I3YIL0Y5CVDH5hdRJeo1WbRLr9GlWkSxPi8sVGJ0+eXGUrl5UrV5Z77ubmxowZM5gxY0aV49lbvFQlOjqaVatWORxnQ2Sz2Uo/3qXWLiIiIiIiIoKnH0z8AbKTIaDxtS+tUyYTXPECvDUU9n4H+5dCYO96DSHUz5OJQ9sxcWg7DiRl8dXvcXz5exxxabl8tvk4n20+XnruiPPCePqaHrRpUc1+35XwcDNz9/D2XNOnFS/+uIdPfzvO51uMR6ifJxd2CmVE5zCGdQyttF1Mo5F6CPLSwOIB4d2qf51XAIR2gpR9xoKjnUbVVYSN06nDxjb43G2TK7BXpGfGQ1E+uDXi7y+REi5PpEvNZeYXUVBsBThrXzURERERERFpRixuSqJXJbwLDLwX1r2O6cepMO4rl4XSMdyPR0Z3Zsqo8/jt6Cm+/P04322Lx9/Lnceu7MqVPSMxObrAYxXC/D154fre3DIwhjkrDvDrgRRSsvL54vc4vvg9DpMJerYK5MJOYVx4Xhh92wThbmlEC2Hbq9Eje4Kbg4WGUX2NRHrcFiXST2ezlVWkh9Qgke4bCu4+UJgDaccgtKNTwxNxBSXSGzF7Wxc/T7dyvdREREREREREpAoj/gnbP8OUehDfbe9BS9e2ejWbTQxoF8KAdiE8d21PpyXPK9MnOoi5E/pTUGTlt6Op/LIvhV/2JbMrPqO0d/vrKw7g7+nGkI4tGHFeOBeeF0rr4JpXxdeLmrR1sYvqC9sWa8HRM2UnG0lwTBAY7fj1JpNRlZ68G9KOKJEuTYIS6Y2Y2rqIiIiIiIiIOMgrAEY9DV/eg9/GVyBxo9E/vesY8I90aWh1mUQ/nYebmSEdQhnSIZRHr+hCUmYeq/elsGpfMqv3J3Mqp5Afdyby485EAFoHe9MjKpCerQPpHhVAj1aBDeuT8XFbjK198VBHlC44qkR6OfZq9MDWjlf52wXbE+mxTgtLxJWUSG/ETmYZFemNuo+ZiIiIiIiISH3rdSO2/T9h2vFfOLLaeHz/d2gzqCypHtja1VE6xmYDazEUF5Q8CivfN7sZLVBOS9qH+3sxrl9rxvVrTbHVxo64dH7Zl8yqfcn8fiyN46dyOX4qlyU7E0qviQzwokerQHq0CqBHVCA9WgUSEeBZb38MKGUthvg/jP1WNahIj+wJJjNkJUBGvNoi2dVmoVE7e590LTgqTYQS6Y1YSkkiXRXpIiIiIiIiIg4wmbBdN5eUXvfSImkt5t3fQNxvELvOeCx5FFr1N5Lq3a6uXTKxrqQfh+VPwd4lUJRnJMmxVe/azlfCjR8a/fTPYDGb6B0dRO/oIB68tBMZeYXsiEtnZ1wGO06ksyMunUMp2SRk5JGQkcey3Yml14b6edKjVQAdwvzw8bDg5W7B082Ml7ul5GHGy+20/ZKtv5c7EQFeNfs6pOyDwmxw94XQ8xy/3sMXwrpA0i6jKl2JdENpIj2m5mPYr01TIl2aBiXSG7Gy1i6qSBcRERERERFxVHFANHR8EIY9ZCSmd38Lu74xkulxvxmPpdOhZe+SpPpYaNHBtUHnZ8Gvr8La/xgJ9LMxu4PFAyzu4OZp7GcmwN7v4fu/wZ9eLVeZXpkAL/fSNjB2WflF7I7PYEdcOjviMth5Ip39SVmkZOWzcm8yK/cmO/y2hncK5fGrutIlMsCxC+1tXVr2BnMN14+L6luWSO9yZc3GaGpUkS5SgRLpjViKWruIiIiIiIiIOEdgaxh0n/HITDCS6ru/gSNrjNYh8X8YFeCDJ8PIJ43kdH2yWuGPhbD8aaMNCUDMULhkuhG7PWFu8SjbryxJvvtbWHwbbH7PWETywkccDsXP040L2oZwQduQ0mO5BcXsSchgx4kMjqXmkFdYXPKwkl9kbPMKi8krspJ/2mt5RcVk5Bayen8KV762mvEXRPPwqPMI969mhbq9t3lN2rrYRfWFrR+rT/rpShPp7Wo+hirSpYlRIr0RsyfSw9TaRURERERERMR5/CNhwCTjkZ0Ce/4Hu76Ggz/Dutfh+G9wwwIIiKqfeI6sgSVTIWGb8Ty4rbFgatcx56wor6DrGLjiBfjh7/Dz00YSvvdNtQ7R28NC3zbB9G0T7PC1R09m8/ySPXy/PYFPNh7jm60nuO+iDtw9vD1e7ueoMj9Ri4VG7aJKkvAnfjd6zdd3n/eGyCkV6W2Mbc5J45MUnn61jUrEpcyuDkBq7mRJaxdVpIuIiIiIiIjUEd9Q6HcH3PYljP8IPAPg2Hp4azgcWlm39049BItuhfeuMpLongFGAv2BjUbv9pomfAfeA0P+Yux//QAcXOG8mGsgpoUvb9zaj8/uHUzv1oFkFxTz0k/7uOSllXz5+3Gs1ip6vxcVQMJ2Y782ifSI7sYirDkpFJ2KJTOvkPScQmy2avacb2oK8yDjhLFfm0S6VyB4BRn7qkqXJkAV6Y1Y2WKjSqSLiIiIiIiI1LmuYyC8G3x6OyRuhw/GwsWPw/C/gdmJtYq5afDLi7DhbbAWgskM/SbCxY8ZiX1nGDkTMuJgx+dGq5c7f4DInrUfNzPBSG4HtDJae3j4VvvSC9qG8OX9Q/l22wleWLKXuLRcHl78Bwt+PcK0q7oxoF1I+QuSdhmLrHoFQUj7ci9ZrTaOpuawIy6d7XFpHE5IA8sx8oqspW1lck9rMfNBcTTdTIeZ/NJ8llgHAODhZiYywMt4BHrRMtCLiABjG1nyCPPzxM3SxOpU048BNvDwA58WtRsrOAbi04w+6RHdnRGdiMsokd6IlS02qtYuIiIiIiIiIvWiRQe4eyl8/3f4/UNY8Qwc2wDXvQM+Iee+/myKi2DzAlg5y2iHAdDhUhj9LIR3rX3spzObYeybkJkIR9fAxzfA3cuMVi81YbXCpndh2ZNQmF123DfcqGoOaWdsT3/4RVb4A4TZbOKaPq0Y3T2SeWsO88aKA2w7ns6Nb6/j8u6RPHpFF9qGliTnS9q62KL6ciApix0njMVPd8Sls+tEBpn5RdUOf6tbW7q5HaaX+VBpIr2gyEpsag6xqTlVXmc2Qbi/kVQf1681fx7YBlNjbw2TetjYBrerfZuboBhjfQFVpEsToER6I5VXWExWyf8Q1NpFREREREREpB65e8M1r0ObwfDdFDiwFN6+EG54D1r3d3y8pD2w47+w7dOyhGNoZyOB3mmUU0Mvx80TbvoI5l8OyXvgo+vhziXgHeTYOCkH4JvJELvOeB7UBvIzIfcUZCcZj+MbK15n8TQqlkPPgxH/gJa9S1/ycrfwwMUdubF/NK8s28eijbEs2ZnA8j2JTBjcls6R/nRYt5x+wDsHApm165cKw3u4menaMoAeUQGEeloJDwnE28MNb3cLXu4WPN3NeLlb8Ha3ELb3OKxcwaQO6dz558sxmSApI5/EjDzi0/NISDe2xvNcEtLzSMzMp9hqIyEjj4SMPLYeS2P1vmReuL4XQT6NuOixtD96TO3Hso9xSol0afyUSG+k7P3RPSxmArw0jSIiIiIiIiL1ru+tRvL309uMfubzL4fRzxmLlJ6rkvfUEaOtyvbPIWln2XHvYLjoMeg/ESzudRp+6f1u/S+8OxKSd8PiP8OfPzeS7OdSXATr58CK56Aoz2gFMmom9LvTqDTPTTPeZ7nHYWObdgyK8yFln/E4/Itx3+gB5W4R5u/Jc9f25PbBbXnu+92s2pfMvDVGxfQPHtvADFuK2uHjYaF7VADdowLp0SqQHq0C6BDmh7vFjNVqJSkpifDwcMxVteCxDYSV4J64FXc3M5hMRIf4EB3iU/Xbt9o4mZVPfHoe6w6dZPZP+/hpVyI7/72Gf9/cl34xji+82iA4Y6FRu6CSRLoq0qUJUAa2kSrrj+7R+D8yJCIiIiIiItJYRfaAe1bC15Nh9zfww9+NxUjHvAae/uXPzUyAnV/C9v9C3G9lx83u0HEk9LwezrscPP3q9S0QFA23fgYLroQjq+Gr++G6uWfv+564y1iotKS9Ch0uMd5zUJuyc7yDwLsPRPWpeH1xEWQcN5K2q16Ao7/Ch9caSf2YwRVO7xzpz/t3DmDVvmTeWnkQd2sunRPiAHj07lt4o20nLOZa5EfCu4HFA/LSjWT/GT3XK2MxmwgP8CI8wIve0UEM7RDK5E+2cPRkDje+vY6/j+7MPcPbY65NXK7gzES6fYySivSiYmvT6ykvzYa+cxuplGyjIl1tXURERERERERczCsQbvwARs8Cs5tRaT73EkjaDTmpsPk9eH8MzO4KSx41kugmM7QbAVf/Bx7ZB7csMhLp9Z1Et2vZC8Z/UBL/f2H5zMrPKyqAlc8brWxObAHPQLhmDvz5i/JJ9HOxuBlJ1vYXGUn8dhdCQRZ8dJ1RnV6FEeeF8ck9g/jgSh/MFINfBO3a1TKJDuDmARE9jP0Tv9doiJ6tA/nfg8P4U6+WFFtt/OuHPdz5/iZOlhRDNhqlifR2tR+rpCLdlnaUV5fupceTPzJnxYHajyviAkqkN1KnV6SLiIiIiIiIiIuZTDD4frjje/CPMtqVvHMRvHQefPuQkRy2WaH1ALj8eZiyB27/Bs6fUPtFSp2lwyVGYh/g11dh49zyr5/4HeZeDCufA2shdL4SHtgAff9cuxmgvicAAQAASURBVEUpPXzhlk+N+xfmGAufHlh+9mvslfBRfWu/IKZdq/NLxq5ZIh3A38ud/9zcl1nX9cTTzczKvclc+e/VrD900jkx1jWbzcmtXYw/rpgKsnh/+RbyCq28+ONePv3tWO3HFqlnSqQ3UvYe6aGqSBcRERERERFpONoMhP/7xai0LsozEs4RPeDSGfDQNrh7KQy6F/wjXB1p5frcAhdPM/Z/+Afs+Q4K82DZTJh7KSTuAO8QGDcPbloIAS2dc193b7jpE+g02vi6fXIz7Pup6vPtye6o851zfzCS8gAnttZqGJPJxM0D2vD15KF0CPMlMSOfW+au59/L91NstdU+zrqUnQKF2YDJaPlTS3m4k2ZpAUCMOZkLzwsD4LEvtrNmf0qtxxepT0qkN1L2inS1dhERERERERFpYPzCjFYnNy+C+zfAfb/C8CkQHOPqyKrnwkfg/NuNCvr/3gVvDYU1s8FWDN2vgwc2Gm1onL1mm7sXjP8IuvzJWIh00S1GIr8ycSUV6a3qKJFutdZ6uC6RAXz74DCu79caqw1mL93HhPkbSMrMq/XYdcZejR7QqnoLzp5Fek4ht83bwIFCI5H+5IV+vHfHBVzdO4oiq437PtrM3oTMWgYsUn+USG+kUkor0tXaRURERERERKTBMVug8xUQ3sXVkTjOZIKrZkOny6AoF04eAL8II8l9wwLjDwV1xc0DbngPuo01qvk/nQC7vi5/Tl46nNxv7NuT384Q2hncvKEg03jPTuDj4cZLN/Tm5Rt64+1u4dcDJ7nytdWs3p/slPGdzkltXeLTc7nh7bVsOnKKBHM4AH380jGbTbx4Qy8GtA0hM7+IiQs2kpjRgP+wIHIaJdIbKbV2EREREREREZE6Y3GD6xdAr5vggklw/3roOqae7u1utI7peQNYi+CzibD9v2Wvx/9hbAPbgG+oE+/rZiy6CrXqk16Zcf1a8+2Dw+gS6U9KVgET5m/k0c+38eXvx9mbkElhce0r4O0KiqzsT8xk2a5EDiRlYrM50E7GCYn0A0mZjHtjLfsSs4gI8GTQ+f1Kxj4KgKebhXcm9KN9mC8n0vO46/1NZOcX1fh+IvXFzdUBSM2cLF1sVIl0EREREREREakDnn5w3duuubfFDa59G8zu8MdC+GISFBdCn5tPa+vixGp0u6i+cGyDkUjvPd6pQ3cM9+OrB4by1P92sXBDLIs2HWPRJmPRTQ83M50j/OnWMoBuUcajS6Q//l7uVY6XX1TM4ZRs9idmsT8xk/1JWexPyuJISjZFp/ViD/Zxp3/bEC5oG0z/tiH0iArEw62K2tpTh41tSNsavcfNR1O5873fSM8tpEOYL+/fOYDQw/GwBUg7WnpekI8H790xgGvf+JUdcRk8+MnvvHNbP9wsqvmVhkuJ9EbK3iM91F+tXURERERERESkCTJb4Jo5RlJ9ywfw1X1Gu5cTJYl0Z7Z1sSvtk+7cinQ7L3cLz13bk8u6RbBiTxK74jPYHZ9JVn4R2+PS2R6XXu78mBY+RnK9ZQCRgV4cOWkkzg8kZXHkZDZVrV3q5+lG62BvDqdkcyqnkKW7Elm6K7EkBjN9ooMY0DaE/m1DOD8mGD/PkhRhaUV6O4ff27JdiUz+ZAt5hVb6tgli/u0XEOzrAWklawOcOlru/DYtfJh7e39ufmc9P+9J4slvd/L0NT0wObv3voiTKJHeCBVZbZzKLQSgha8q0kVERERERESkiTKb4U+vgcUDNr0L3zxo9DEHiHLiQqN29kR6wjYoLjKS+HXgos7hXNTZ6B1utdo4diqHXScy2BWfUbqNT8/j6Mkcjp7M4YcdCZWO4+/lxnkR/nQK96NjuB+dSvZbBnphMpkoKLKy40Q6mw6nsunIKX47mkpaTiHrD6Wy/lAqAGYTdIsKoH9MCP9MOog3YAuKwZF09qebjjH1y+0UW21c0iWc12/pi49HydcuqCSRnn7MWMTVXFZ1fn6bYF67qQ/3fbyFj9bHEhPiy6QL2zv65RSpF0qkN0LpuUXYbMZ/6EJ8VZEuIiIiIiIiIk2Y2QxXvmQk09e/YSyAChDVx/n3atERPPygIAtS9kFEN+ff4wxms4mYFr7EtPDlip4tS4+fyi5gd3xZcj0hI4+2ob50CvejU7g/nSL8CPf3PGsFt4ebmfPbBHN+m2D+b4SRtD+YnMWmI6fYdCSVTUdSOX4qlx1xGeyPS+EJz0QwwYh5R2gVVUyv1oH0aBVIr9aBtAnxqXAvm83GGysP8uKPewG4vl9rZl3XE/fTW7QEtAKTBYoLIDMeAluVG+PyHi15/MquPPPdbp79fjetgr258rSvg0hDoUR6I5SaY1Sjh/h6YDHr4y4iIiIiIiIi0sSZTDD6OWMh0l9fg8ie4BXo/PuYLdCyDxxdA5vmwhUvGPd0gWBfD4Z0DGVIR+ctqGo2m4yq9Qh/bhnYBoD49Fw2HTnF4T2/Y95tI8vmRWy+N7GHTrLu0MnSawO83OjRKpCerQPp2cp4zP9/9u47Pqoq/eP4586k916oCb1Ik95EygoWFMWOCNgLrsq6dhR0V/SnsqzdtWFDsICiKCgISJEiCtJ7TQ/pvcz9/XGTQEwIIQwkJN/363VfM3Pnzrln5lCeeebc56zcz4e/WiVb7rmwJf8c3rZiYt/uAv5NrBrpaQcrJNIBbh0QzeGUHD789SAPzNlIuJ873ZsHOe19iziDEunnoJQcayVjlXURERERERERkQbDMGDYVGgxGILOYPmPTldbifTf3oe4TXDVOxDc8sydr5ZF+ntyeRdP8NoK28E7vCULRg1kS0w6fx5JZ0tMOtvjMsnIK2L13qOs3nu03OsNA566rAMT+ldRVz2wuZVETz0IzftVeNowDJ4a2ZGYtFwWb0/k9o82MPfufkSFeDv77YrUmBLp56DSGelaaFREREREREREGhTDgJaDz+w5ekywZrt/9wDEbIC3BsKIaXD+zdb566uShUaNoGg6NvKnYyN/rutpPVVQ5GBXQiZbShZE3RyTzo64TNxcbEy7qhMjuzSquu3SOulpB094iN1m8MoN3bju7TVsjklnwsz1zL27n7VgqUgdYDv5IVLXpOZqRrqIiIiI1A2vv/46UVFReHh40Lt3b9atW3fCY7du3cro0aOJiorCMAxmzJhx9joqIiJyKs67Cu5eDVEDoTAbvv07zLkJso+e/LUnU5gLm7+EbfPBUXz67TlLSSKdwKgKT7m52DivsT/X92rGv6/sxPyJA9gydTi/T/7byZPoYM1IB2tGehW83Fx4b3wPGgd4sj85m9s/+o28wjr0GUmDpkT6OSglu2RGuo8S6SIiIiJSe+bMmcOkSZN4+umn+f333+nSpQvDhw8nMTGx0uNzcnJo0aIFzz//PBEREWe5tyIiIqfIvwncPB/+9gzYXGHHd/BmP9izpGbtpR6AHyfD9Pbw1a3w+Vh4+wLY/4tTu11jVSTSK+PmYsPNpZqpxYCSNquYkV4qzNeDmRN64uvhwm8HU7nuf2uYtfYQKdkF1TvXmZabBg5HbfdCaoES6eeg0hrpKu0iIiIiIrVp+vTp3H777UyYMIEOHTrw1ltv4eXlxfvvv1/p8T179uTFF1/k+uuvx91dk0JEROQcYLNB//vh9iUQ0hay4uGTq2DhY1CYd/LXOxywZzHMug7+2xVWvwK5qeDfzCofk7AFPhwJs8dAyj7n9Nk04fA6WPQELHkW1r8HOxdC/GbISbGer8wpJtJPSemM9LRD1Tq8dbgvb4/tjpuLjU2H03h83mZ6/nsx495fxxe/HSY9t9D5fTyZxB3w5a3wf9HwzoVwdO/Z74PUKtVIPwellvxjEaLSLiIiIiJSSwoKCtiwYQOPPfZY2T6bzcawYcP49ddfa7FnIiIiZ0BkF7hjGfw0Gda/C2vegH3LYfQ7EN6x4vG5abBxFqx/p3yCvOVQ6HU7tL4I8tJh2TQr0b3jO9i1CPrcDRc8ZCXZT1VBNmz+wupf/OYTH+fiAX6NwK9xydbI2lL2W88HVrFoaE2V1kjPiIHiQrC7nvQl/VqGsPShC/l2Uyzfbopla2wGy3clsXxXEk/M28IFbUIZ2SWSoe3D8XE/gynO+C0ULfs/7DvmY1DyI0TcJgpeH8Cv7R8npdWVBHq5EeTtRqCXG4Hebni72THqcz39BkqJ9HOQZqSLiIiISG1LTk6muLiY8PDwcvvDw8PZsWOH086Tn59Pfn5+2eOMjAwAHA4HjrN4WbXD4cA0zbN6TqkdGuuGQ2PdcDhtrF084OIXoeUwjG/vw0jcivm/wZhDn4bed4Jhg4QtGOvfhc1fYBTmAGC6+0HXMZg9boHgVsfa8wiAES9A9wkYPz6JsXcJrH4Fc+MszMFPQLexYLOfvF9H92D89h5snIWRb/0/abp4QIcrwM0HMmKtBHZGLEZOMhTlWcn9SmbAmxiYfo2dX7rEKwTDxROjKBdH6iEIql6yPtLPnTsGRnPHwGj2JWfz/Z9xfPdnHLsSs1i8PYHF2xNwd7ExuG0ol3WOZFDrkNMe64y8QrbFZhC3cy2tt79J56yVZQnUH4p78mnxMO61f0NftjFo65N89eci7imcQA4eZW242g0CvdwI8HIlyMuNqBBvBrcNpX+rYLzclI51Bmf9vT6V12vkzkEpOaqRLiIiIiINw7Rp05g6dWqF/UlJSeTlVeOSeidxOBykp6djmiY2mypk1mca64ZDY91wOH2sA7phG/01fsuewOPQMowfHyd/63wMRxFucb+VHVYY1Iac88aQ13okpqs3FAOVriMSBH97A7e2y/Fb/TwuafswFjxI4Zq3yOz3GAWN+1bypopwP7gMr62zcD+yqmx3kV8zcjreQG7bKzE9Aiu+rigfe04itqw47Fnx2LPjsWUnYM+Kw56dQH6zC8hKST/9z6gSIb6NcEndS9qBTRQUeZ/y632Aa8/z49rz/Nh3NJfFu1L5aWcKh9PyWbg1gYVbE/B0tdExzB1/r314uNrxcLHh7mLDw9VW7r67i4GHi7XPYcKe5Fx2JuawMzGHkIyt3Ocyj9H2PwBwmAbfO3rzsevVuES2p3WoJ0sYSlrsJwxP/ojR9hX0dtnDo7YHWZ/XlPxik8Jik8TMfBIzrckAa/anMHv9YdztBt2b+jKgRQADov0J0yTZGnPW3+vMzMxqH6tE+jnGNE1SS2akByuRLiIiIiK1JCQkBLvdTkJCQrn9CQkJTl1I9LHHHmPSpElljzMyMmjatCmhoaH4+fk57Twn43A4MAyD0NBQJdzqOY11w6GxbjjOzFiHwbi5ODa8j/HjZNxj1gBgGnZoPxKz523Ym/XD1zDwrXaT10C3UTh+ex9j+fO4Ht1J0LfjMdteivm3ZyCoBWQlwh8fYWyYiZERY50TA1pfhNnzNmwth+Bj2PCp8kRNT/iMV8l2JhjB0ZC6lwDSISzstNoKC4M+7ZvzhGmyLS6D7/6MZ8HmOI6k5vJbTC6Qe8ptdjd28pzLXC5wt8riOLCxK/QiUnv8nR5tu3GJn8dfXwEHr8GcdztNMmL5mCcxL5tKbtfbSMktJC2ngJTsQlKyC9h4OI0lOxI5kprL6gMZrD6Qwf8BHRv5MaRdGEPbhXFeIz9sNpWDqS5n/b328PjruJ6YEunnmIy8IoocVj2mYG/9aiUiIiIitcPNzY3u3buzZMkSRo0aBVhfaJYsWcLEiROddh53d/dKFya12WxnPfFlGEatnFfOPo11w6GxbjjO2Fj3uh2iL7BqnYe0weg+HvwaUeN0qM0d+t4NXa6DZc/D+ncxdi7A2P0jRA2AAyvBUbLQplcwdBuL0eMWCGxe83OeLSWLmNoWPgpr37YeB0ZZZV5K7wc0A1fPU2q2U5NAOjUJ5NGL27HxUCrrd8fi5ulNXpGD3IJi8gqLyS0stu7/dV9+EecVbuZWxxe0zbVmoJuGHaPL9dgG/oN2wS2rPnn0ALhrFcy/D2PHdxiLHsN7/y94X/E6TYOCyw678vwmTLncZFeCVZJmyfYE/jicxtbYDLbGZvDqz3sI83VnaPswhrYLp1+rYOw2g6Jik8JiBwXFDgqLTQqLHOUfFzsoLHJQ5DBpFOBJ82AvXO0N598zZ/y9PpXXKpF+jjmaZV0S4uvhgodrNepkiYiIiIicIZMmTWLcuHH06NGDXr16MWPGDLKzs5kwYQIAN998M40bN2batGmAtUDptm3byu7HxMSwceNGfHx8aNWq1QnPIyIiUqeFtoVrZjq3Ta8guOT/oOetsOhx2LMY9i21nmvSE3reBh1GgWv1Z9PWuraXwB+fQlEuJG23tsr4NjqWWA+MgmZ9IGognCThaRgGXZoGEOleQFhYWNUJ0qJ82DIX1r0NsVYCHZsLdL0RY8CkatdwB6yxuu4Ta5HXRU/Arh/grQHWQrRRA8r1r22EL20jfLl3cCuSs/JZuiORJdsTWbE7icTMfD5bd5jP1h2u/rn/wtVu0CLEh1bhPrQO86F1mC+tw32ICvbGzcUGpglHfoOtc8EnHPrdV706/AIokX7OSc4qADQbXURERERq33XXXUdSUhJPPfUU8fHxdO3alYULF5YtQHro0KFyX2JjY2Pp1q1b2eOXXnqJl156iUGDBrFs2bKz3X0REZG6L7Qt3PSVlUiP+R1aXwSNutZ2r2qm1VB47DCkHYLUA3/Z9kPKASjIhMxYazu0+thr/ZpYs/S73Aghp/Hje0YsrH8PNsyEnGRrn93NWth1wAPWjPiaMAzr6oRmfeCLCXB0N3w4Ei54GC74J9grpmBDfNy5pkdTrunRlPyiYtbsS2HJ9gSWbE8kJi23QvNudhtudhuuLjZcbAaudhtuLjZc7QYGBodTc8gpKGZnQiY7E8rX/W5pi2eczzpGmL8QVhh77IlDv8JV74DH2SuXdy5TIv0ck1wyI10LjYqIiIhIXTBx4sQTlnL5a3I8KioK0zTPQq9ERETqmVbDrO1cZ3eF4JbW9lemCbmpVlI99QCk7Ifk3dYM74wjsOJla2vSC7reAB2vAs+Ak5/TNK2E8dq3Yfu3YBZb+/0aQ49b4Pxx4BPqnPcX0QnuXA4/PAx/fALLn4f9v8BVb1eZpHd3sTOoTSiD2oQy9XKTtJxC7HbDSpzbbdirUTvd4TCJTc9ld2IWexKyiI09TOSRH+iduZguxm6w5uaSbbrzi6Mzg20b8di1kIQZF7B32Dt063w+nm6anV4VJdLPMWUz0n00I11EREREREREROoJw7DKpHgFQePux/YX5sHO72HTZ9bM/CPrrO2HR6HdpdD1RmgxuOKs78Jc2PwFrPsfxG8+tr95f+h1B7S7rNKZ4qfNzRuueB2iL4TvHrRm1s/oZJWsCWsHoe2P3Ya2rTAb3DAMAmtQicJmM2jiY9AkZgWDj3xufVaOIjDANGykRgxgU9BwfqYnW5KKeCf2d960v0R43n5cvx3F7d88iBE1sCyh3yrMB8OofuX97Pwi9idnsy85m31JWcSm5RLo5UbjQE8a+XtatwGe+Hu6nvJ7qyuUSD/HHNWMdBERERERERERaShcPeC8q6wtMx7+/NxKqidus2p9l9b77nwtdL4eW2Y+xp9vwB8fWTPcAVw8ofM1VgI9otPZ6Xfna6BJd/j6HmtGfGnJmr0/lz/Or4mVUA9rD6HtrNugFtZzjqK/bMWVP85Ng+3zYdt8qzxOqUbdoPN1GB2vIsg3nMHA4JKnsvJ7s2HzBRQuuYMmuTv4wPYcT+0bz792D+VfC7bTOMCTC0qS6v1bBePr4UqxwyQmNZe9yVnsS7IS5vuTs9mXlE18Rl61PhZfdxcaBXjSKMCjLLneuHQL9CTCz+OUEvhnkxLp55jSGekhmpEuIiIiIiIiIiINiW8E9P+7tUhm3CbYOMuadZ6VAKtfxbb6VUIxMCgpJeffDHrdZtVA9wo6+/0NagG3LIS8dEjaCYnbIWnHsdvMOKtsTcYR2LvEOef0b1byo8K1VoL+BHzcXRjUowt0WYb5zb24bvmKaa7vMTjwKPenXUNMWi6frTvEZ+sO4WIzaBLoSWxaHgXFjhO/XW83WoR40yLUmyaBXqTmFBCblktMWi6xaXmkZBeQmV9UaR13AG83O1umDnfKx3Am1Hoi/fXXX+fFF18kPj6eLl268Oqrr9KrV68THj9jxgzefPNNDh06REhICFdffTXTpk3Dw8Oj2m3m5eXxj3/8g9mzZ5Ofn8/w4cN54403yhZFqsuOZmuxURERERERERERacAMw1p0tVFXuOhfsPtH2DgLc/ciDEcRZvQgjN53QpsRYKsDdb89/KFpL2s7Xm5q5Qn2rIRjx9hcweZSstmPu3/cY7srNO0NXa6Hpn3guMXeT8rVE2P0e9ZM+J//xUVZX7OlVSqru7/Mkv0F/LIriX3J2Rw4mgOAm4uN6GArWR4d4k2LUB9ahHrTIsSbAK+q85U5BUXEpuWVJNZziUm1bo+UPPZ3t9XZ2ehQy4n0OXPmMGnSJN566y169+7NjBkzGD58ODt37iQsLKzC8bNmzeLRRx/l/fffp1+/fuzatYvx48djGAbTp0+vdpsPPvggCxYs4IsvvsDf35+JEydy1VVXsWrVqrP6/mtCi42KiIiIiIiIiIiUcHGD9pdB+8sws4+SFHeEkBadME4lmVxbPAOhWR9rO15xIRj2U0uInw7DgAv+aZWWmXsH9gPLGZhxHQNvnAOXX8ihozkcTs2hWZAXjQI8q7X4aWW83FxoFeZDqzAfa0dBjlX2Zv9y2LcM090XuNBpb8vZajWRPn36dG6//XYmTJgAwFtvvcWCBQt4//33efTRRyscv3r1avr378+NN94IQFRUFDfccANr166tdpvp6em89957zJo1iyFDhgDwwQcf0L59e9asWUOfPn0qnLcuOVpa2sVXiXQREREREREREZEynoE4fApruxenz15LC3K2Hwm3LILZN0LKXnhnKFzzAc1aDaVZsNfpt19cBHEbYd9S2LccDq+F4oKypw2bq5Vcd3PCuc6AWvtppqCggA0bNjBs2LBjnbHZGDZsGL/++mulr+nXrx8bNmxg3bp1AOzbt4/vv/+eSy65pNptbtiwgcLCwnLHtGvXjmbNmp3wvHVJ6Yx0lXYRERERERERERERp4rsDLcvtUrE5KfDp1fDmjfBNE+9LdO0StesfRs+uxH+LxreHQo//wsOrLCS6H6NoesYuPJ/8MDmOptEh1qckZ6cnExxcXGFuuTh4eHs2LGj0tfceOONJCcnM2DAAEzTpKioiLvuuovHH3+82m3Gx8fj5uZGQEBAhWPi4+NP2N/8/Hzy8/PLHmdkZADgcDhwOE5cZN+ZcguKyS4oBiDIy/WsnVdqh8PhwDRNjXMDoLFuODTWDYfGuuFw1ljrz4qIiIiI1Bk+oTBuPnw3CTZ+AgsfhUNrIKQ1mA5wFFu3f93K9hdDfhYcXA1Zf8m3evhD9AUQPQhaDIbgllZpmXNArS82eiqWLVvGc889xxtvvEHv3r3Zs2cP999/P88++yyTJ08+o+eeNm0aU6dOrbA/KSmJvLy8M3ruUrHpViLfzW6Qk36U/Kw6sFiCnDEOh4P09HRM08R2LtT1khrTWDccGuuGQ2PdcDhrrDMzM53YKxERERGR0+TiDle8Zi1C+tNk2PZ1DdvxsGrARw+CFhdCZJe6sQBsDdRaIj0kJAS73U5CQkK5/QkJCURERFT6msmTJzN27Fhuu+02ADp16kR2djZ33HEHTzzxRLXajIiIoKCggLS0tHKz0qs6L8Bjjz3GpEmTyh5nZGTQtGlTQkND8fPzO6X3XmMeeUzo15ys7BzCw8P1xbyeczgcGIZBaGioxrqe01g3HBrrhkNj3XA4a6w9PDyc2CsREREREScwDOg3ERp1hW3flOyzg2GznrOV3rcdt99mLZJqc4VG3aBpb3CtH7FurSXS3dzc6N69O0uWLGHUqFGA9UVkyZIlTJw4sdLX5OTkVPiCYrdbv2CYplmtNrt3746rqytLlixh9OjRAOzcuZNDhw7Rt2/fE/bX3d0dd/eKC3zabLaz9gU5IsCLyZd1IDEx8ayeV2qPYRga6wZCY91waKwbDo11w+GMsdafExERERGps6IGWFsDV6ulXSZNmsS4cePo0aMHvXr1YsaMGWRnZzNhwgQAbr75Zho3bsy0adMAGDlyJNOnT6dbt25lpV0mT57MyJEjyxLqJ2vT39+fW2+9lUmTJhEUFISfnx/33Xcfffv2pU+fPrXzQYiIiIiIiIiIiIhInVWrifTrrruOpKQknnrqKeLj4+natSsLFy4sWyz00KFD5WbnPPnkkxiGwZNPPklMTAyhoaGMHDmSf//739VuE+A///kPNpuN0aNHk5+fz/Dhw3njjTfO3hsXERERERERERERkXOGYZqmWdudOBdlZGTg7+9Penr62auRjlWqJjExkbCwMF0CXM9prBsOjXXDobFuODTWDYezxrq2YstzkeJwOdM01g2Hxrrh0Fg3HBrrhqM24nD9iRIRERERERERERERqYIS6SIiIiIiIiIiIiIiVVAiXURERERERERERESkCkqki4iIiIiIiIiIiIhUQYl0EREREREREREREZEqKJEuIiIiIiIiIiIiIlIFJdJFRERERERERERERKqgRLqIiIiIiIiIiIiISBWUSBcRERERERERERERqYIS6SIiIiIiIiIiIiIiVVAiXURERERERERERESkCkqki4iIiIiIiIiIiIhUwaW2O3CuMk0TgIyMjLN6XofDQWZmJh4eHths+h2kPtNYNxwa64ZDY91waKwbDmeNdWlMWRpjyokpDpczTWPdcGisGw6NdcOhsW44aiMOVyK9hjIzMwFo2rRpLfdEREREROqLzMxM/P39a7sbdZricBERERFxturE4YapaS814nA4iI2NxdfXF8Mwztp5MzIyaNq0KYcPH8bPz++snVfOPo11w6Gxbjg01g2HxrrhcNZYm6ZJZmYmjRo10uypk1AcLmeaxrrh0Fg3HBrrhkNj3XDURhyuGek1ZLPZaNKkSa2d38/PT/8gNBAa64ZDY91waKwbDo11w+GMsdZM9OpRHC5ni8a64dBYNxwa64ZDY91wnM04XNNdRERERERERERERESqoES6iIiIiIiIiIiIiEgVlEg/x7i7u/P000/j7u5e212RM0xj3XBorBsOjXXDobFuODTWDYfGuuHQWDccGuuGQ2PdcGisG47aGGstNioiIiIiIiIiIiIiUgXNSBcRERERERERERERqYIS6SIiIiIiIiIiIiIiVVAiXURERERERERERESkCkqki4iIiIiIiIiIiIhUQYn0c8jrr79OVFQUHh4e9O7dm3Xr1tV2l8QJfvnlF0aOHEmjRo0wDIOvv/663POmafLUU08RGRmJp6cnw4YNY/fu3bXTWamxadOm0bNnT3x9fQkLC2PUqFHs3Lmz3DF5eXnce++9BAcH4+Pjw+jRo0lISKilHktNvfnmm3Tu3Bk/Pz/8/Pzo27cvP/zwQ9nzGuf66/nnn8cwDB544IGyfRrv+mHKlCkYhlFua9euXdnzGueGQbF4/aM4vGFQHN5wKA5vuBSH1191LQ5XIv0cMWfOHCZNmsTTTz/N77//TpcuXRg+fDiJiYm13TU5TdnZ2XTp0oXXX3+90uf/7//+j1deeYW33nqLtWvX4u3tzfDhw8nLyzvLPZXTsXz5cu69917WrFnDTz/9RGFhIRdddBHZ2dllxzz44IN8++23fPHFFyxfvpzY2FiuuuqqWuy11ESTJk14/vnn2bBhA7/99htDhgzhiiuuYOvWrYDGub5av349b7/9Np07dy63X+Ndf3Ts2JG4uLiybeXKlWXPaZzrP8Xi9ZPi8IZBcXjDoTi8YVIcXv/VqTjclHNCr169zHvvvbfscXFxsdmoUSNz2rRptdgrcTbAnDdvXtljh8NhRkREmC+++GLZvrS0NNPd3d387LPPaqGH4iyJiYkmYC5fvtw0TWtcXV1dzS+++KLsmO3bt5uA+euvv9ZWN8VJAgMDzXfffVfjXE9lZmaarVu3Nn/66Sdz0KBB5v3332+apv5e1ydPP/202aVLl0qf0zg3DIrF6z/F4Q2H4vCGRXF4/aY4vP6ra3G4ZqSfAwoKCtiwYQPDhg0r22ez2Rg2bBi//vprLfZMzrT9+/cTHx9fbuz9/f3p3bu3xv4cl56eDkBQUBAAGzZsoLCwsNxYt2vXjmbNmmmsz2HFxcXMnj2b7Oxs+vbtq3Gup+69914uvfTScuMK+ntd3+zevZtGjRrRokULxowZw6FDhwCNc0OgWLxhUhxefykObxgUhzcMisMbhroUh7uckVbFqZKTkykuLiY8PLzc/vDwcHbs2FFLvZKzIT4+HqDSsS99Ts49DoeDBx54gP79+3PeeecB1li7ubkREBBQ7liN9blp8+bN9O3bl7y8PHx8fJg3bx4dOnRg48aNGud6Zvbs2fz++++sX7++wnP6e11/9O7dm5kzZ9K2bVvi4uKYOnUqAwcOZMuWLRrnBkCxeMOkOLx+Uhxe/ykObzgUhzcMdS0OVyJdROQsu/fee9myZUu5ul5Sv7Rt25aNGzeSnp7Ol19+ybhx41i+fHltd0uc7PDhw9x///389NNPeHh41HZ35Ay6+OKLy+537tyZ3r1707x5cz7//HM8PT1rsWciInIqFIfXf4rDGwbF4Q1HXYvDVdrlHBASEoLdbq+w6mxCQgIRERG11Cs5G0rHV2Nff0ycOJHvvvuOpUuX0qRJk7L9ERERFBQUkJaWVu54jfW5yc3NjVatWtG9e3emTZtGly5d+O9//6txrmc2bNhAYmIi559/Pi4uLri4uLB8+XJeeeUVXFxcCA8P13jXUwEBAbRp04Y9e/bo73UDoFi8YVIcXv8oDm8YFIc3DIrDG67ajsOVSD8HuLm50b17d5YsWVK2z+FwsGTJEvr27VuLPZMzLTo6moiIiHJjn5GRwdq1azX25xjTNJk4cSLz5s3j559/Jjo6utzz3bt3x9XVtdxY79y5k0OHDmms6wGHw0F+fr7GuZ4ZOnQomzdvZuPGjWVbjx49GDNmTNl9jXf9lJWVxd69e4mMjNTf6wZAsXjDpDi8/lAc3rApDq+fFIc3XLUdh6u0yzli0qRJjBs3jh49etCrVy9mzJhBdnY2EyZMqO2uyWnKyspiz549ZY/379/Pxo0bCQoKolmzZjzwwAP861//onXr1kRHRzN58mQaNWrEqFGjaq/TcsruvfdeZs2axTfffIOvr29ZvS5/f388PT3x9/fn1ltvZdKkSQQFBeHn58d9991H37596dOnTy33Xk7FY489xsUXX0yzZs3IzMxk1qxZLFu2jEWLFmmc6xlfX9+y+qqlvL29CQ4OLtuv8a4fHnroIUaOHEnz5s2JjY3l6aefxm63c8MNN+jvdQOhWLx+UhzeMCgObzgUhzccisMbjjoXh5tyznj11VfNZs2amW5ubmavXr3MNWvW1HaXxAmWLl1qAhW2cePGmaZpmg6Hw5w8ebIZHh5uuru7m0OHDjV37txZu52WU1bZGAPmBx98UHZMbm6uec8995iBgYGml5eXeeWVV5pxcXG112mpkVtuucVs3ry56ebmZoaGhppDhw41f/zxx7LnNc7126BBg8z777+/7LHGu3647rrrzMjISNPNzc1s3Lixed1115l79uwpe17j3DAoFq9/FIc3DIrDGw7F4Q2b4vD6qa7F4YZpmuaZSdGLiIiIiIiIiIiIiJz7VCNdRERERERERERERKQKSqSLiIiIiIiIiIiIiFRBiXQRERERERERERERkSookS4iIiIiIiIiIiIiUgUl0kVEREREREREREREqqBEuoiIiIiIiIiIiIhIFZRIFxERERERERERERGpghLpIiIiIiIiIiIiIiJVUCJdRETqHMMw+Prrr2u7GyIiIiIiDY5icRGRyimRLiIi5YwfPx7DMCpsI0aMqO2uiYiIiIjUa4rFRUTqLpfa7oCIiNQ9I0aM4IMPPii3z93dvZZ6IyIiIiLScCgWFxGpmzQjXUREKnB3dyciIqLcFhgYCFiXer755ptcfPHFeHp60qJFC7788styr9+8eTNDhgzB09OT4OBg7rjjDrKyssod8/7779OxY0fc3d2JjIxk4sSJ5Z5PTk7myiuvxMvLi9atWzN//vwz+6ZFREREROoAxeIiInWTEukiInLKJk+ezOjRo9m0aRNjxozh+uuvZ/v27QBkZ2czfPhwAgMDWb9+PV988QWLFy8uF5y/+eab3Hvvvdxxxx1s3ryZ+fPn06pVq3LnmDp1Ktdeey1//vknl1xyCWPGjCElJeWsvk8RERERkbpGsbiISO0wTNM0a7sTIiJSd4wfP55PPvkEDw+Pcvsff/xxHn/8cQzD4K677uLNN98se65Pnz6cf/75vPHGG7zzzjs88sgjHD58GG9vbwC+//57Ro4cSWxsLOHh4TRu3JgJEybwr3/9q9I+GIbBk08+ybPPPgtYXwh8fHz44YcfVB9SREREROotxeIiInWXaqSLiEgFgwcPLhecAwQFBZXd79u3b7nn+vbty8aNGwHYvn07Xbp0KQvcAfr374/D4WDnzp0YhkFsbCxDhw6tsg+dO3cuu+/t7Y2fnx+JiYk1fUsiIiIiIucExeIiInWTEukiIlKBt7d3hcs7ncXT07Nax7m6upZ7bBgGDofjTHRJRERERKTOUCwuIlI3qUa6iIicsjVr1lR43L59ewDat2/Ppk2byM7OLnt+1apV2Gw22rZti6+vL1FRUSxZsuSs9llEREREpD5QLC4iUjs0I11ERCrIz88nPj6+3D4XFxdCQkIA+OKLL+jRowcDBgzg008/Zd26dbz33nsAjBkzhqeffppx48YxZcoUkpKSuO+++xg7dizh4eEATJkyhbvuuouwsDAuvvhiMjMzWbVqFffdd9/ZfaMiIiIiInWMYnERkbpJiXQREalg4cKFREZGltvXtm1bduzYAcDUqVOZPXs299xzD5GRkXz22Wd06NABAC8vLxYtWsT9999Pz5498fLyYvTo0UyfPr2srXHjxpGXl8d//vMfHnroIUJCQrj66qvP3hsUEREREamjFIuLiNRNhmmaZm13QkREzh2GYTBv3jxGjRpV210REREREWlQFIuLiNQe1UgXEREREREREREREamCEukiIiIiIiIiIiIiIlVQaRcRERERERERERERkSpoRrqIiIiIiIiIiIiISBWUSBcRERERERERERERqYIS6SIiIiIiIiIiIiIiVVAiXURERERERERERESkCkqki4iIiIiIiIiIiIhUQYl0EREREREREREREZEqKJEuIiIiIiIiIiIiIlIFJdJFRERERERERERERKqgRLqIiIiIiIiIiIiISBWUSBcRERERERERERERqYIS6SIiIiIiIiIiIiIiVVAiXURERERERERERESkCkqki4iIiIiIiIiIiIhUQYl0EREREREREREREZEqKJEuIlIPzJw5E8MwmDlz5mm1YxgGF154oVP6VFdMmTIFwzBYtmxZjV4fFRVFVFSUU/skIiIiIqIY/tRV9l5PN94XEakuJdJFRGrgwIEDGIaBYRhERERQVFRU6XHbt28vO66+JWOXLVtW9t5KNw8PD1q0aMHtt9/OgQMHaruLIiIiIiJlFMNXHsO7u7sTFRXFhAkT2L17d213UUSkznKp7Q6IiJzLXFxcSEhI4Pvvv+fyyy+v8Px7772HzVa/f7Ps3r07l112GQBpaWksW7aMd999l6+++oq1a9fSunXrWu3fxIkTuf7662nWrFmNXr9kyRIn90hEREREapNi+PIxfHp6OqtWrWLmzJnMnTuXdevW0bZt21ruoYhI3VO//2cQETnD+vXrh7+/P++//36F54qKivjkk08YNmwYrq6utdC7s6NHjx5MmTKFKVOmMGPGDP744w/Gjh1Lamoq//73v2u7e4SEhNCuXTu8vLxq9PqWLVvSsmVLJ/dKRERERGqLYvjyMfx//vMf1q1bx5133klGRgbPPfdcbXdPRKROUiJdROQ0eHp6cv3117NgwQISExPLPffdd9+RkJDALbfccsLXZ2dn8/TTT9OuXTs8PDwICgri0ksvZdWqVZUen5KSwl133UV4eDheXl707NmTefPmVdnHP//8k+uvv57IyEjc3Nxo3rw59913H0ePHj31N1wNhmFw7733ArB+/Xrg2GW048ePZ/v27Vx55ZUEBwdjGEa5EjDffPMNQ4cOJTAwEA8PD8477zxeeukliouLKz3XN998w0UXXURwcDAeHh5ERUUxduxYtmzZUnbMiWomLl26lIsvvphGjRrh7u5OeHg4AwcO5H//+1+5405UI/1Uxu74PsyaNYuuXbvi6elJZGQk999/P7m5udX5aEVERETECRTDV+7WW28FYMOGDRWey8zM5Omnn6Zjx454enoSEBDA8OHDWblyZaVtZWZmMnXqVDp37oyXlxf+/v5069aNyZMnU1hYWHbcvHnzuOGGG2jVqlXZcQMHDuSrr746M29SROQ0KJEuInKabrnlFoqKivj444/L7X///fcJCgpi1KhRlb4uLy+PIUOG8Mwzz+Dt7c0DDzzAFVdcwdKlSxk0aBBffPFFueNzcnK48MILefvtt2nZsiX3338/bdu25brrruPLL7+s9Bzz58+nV69ezJ8/nwsvvJAHHniATp068dprr9G3b19SU1Od8hmciGEY5R7v2bOHPn36kJSUxPjx4xk3bhxubm4APPbYY4waNYqdO3dy1VVXcc899+Dp6ck///lPrr/++gpt/+Mf/2DUqFFs2LCBUaNG8eCDDzJgwAAWL17M4sWLq+zXggULGDp0KGvXrmX48OH84x//4PLLLyc/P7/COFbmVMeu1GuvvcYdd9xBx44dufvuuwkMDOSVV17htttuO+k5RURERMR5FMOfmItL+SrAKSkp9O3bl2eeeYbAwEDuuusuRo8ezYYNGxg8eDBff/11ueMTExPp1asXU6ZMwW63c/fdd3PLLbcQERHBCy+8QHZ2dtmxjz32GFu3bmXAgAHcf//9XHPNNezcuZOrr76aV1999Yy+TxGRU2aKiMgp279/vwmYw4cPN03TNM877zyzY8eOZc/HxcWZLi4u5n333Weapmm6u7ubzZs3L9fG1KlTTcAcM2aM6XA4yvb//vvvppubmxkQEGBmZGSU7X/66adNwLz99tvLtbNw4UITMAHzgw8+KNufnJxs+vn5mY0bNzYPHDhQ7jWfffaZCZgTJ04stx8wBw0aVK3PYOnSpSZg3nnnneX2OxwOc9y4cSZgTpgwwTTNY58XYD711FMV2vrxxx/LPs+srKxybd11110mYH755Zdl+7/99lsTMDt16mQmJyeXa6uwsNCMj48ve1z6uS1durRs31VXXWUC5saNGyv05a/tNW/e3Glj5+/vb+7YsaNsf05OjtmmTRvTZrOZMTExFfoiIiIiIs6jGP7EMbxpmuadd95pAua9995bbv+NN95oAuY777xTbn9CQoLZtGlTMzQ01MzNzS3bP3r0aBMwH3/88QrniI+PNwsLC8se7927t8IxmZmZZqdOnUx/f38zOzv7pO+1snhfRORM0Ix0EREnuOWWW9i6dStr164F4MMPP6SoqKjKS0I//PBDXF1def7558vN3O7WrRvjxo0jLS2t3OyOjz76CDc3N5555ply7QwfPpyhQ4dWaP+jjz4iIyODadOm0bx583LPXX/99Zx//vnMnj27Jm+3nN9++62svuKDDz7I+eefz4cffkhQUBBPPPFEuWMjIiIq7ANrpjbA//73P7y9vcv2G4ZR9vl89tlnZfvfeOMNAP773/8SHBxcri0XFxfCw8Or1XdPT88K+/7aXmVOdexKlc5AOv78N9xwAw6Ho9JLaEVERETkzFEMb8XwkyZNolevXrz99tu0adOGJ598suy45ORk5syZw5AhQypcRRkWFsY///lPkpKSyq4IjY+PZ+7cubRs2ZIpU6ZUOG94eHi5Ge8tWrSocIyPjw/jx48nPT29rFSkiEhd4HLyQ0RE5GRuuukmHnnkEd5//3169+7NBx98QLdu3ejatWulx2dkZLBv3z7at29PkyZNKjw/ePBg3nnnHTZu3MjYsWPJyMhg//79dOjQgYiIiArHDxw4kCVLlpTbt2bNGgDWrl3L3r17K7wmLy+P5ORkkpOTCQkJqcG7tmzYsKEsCezm5kbjxo25/fbbeeKJJyoE/126dCkr5fLXvnp7e1e64BNYCecdO3aUPV63bh3u7u4MGjSoRn2+/vrrmTt3Ln369OHGG29k6NChDBw4sFqfw6mO3fG6d+9e4fjSNtLS0mr0XkRERESkZhTDl5/I0bZtW1auXFmu3fXr11NcXEx+fn6lifHdu3cDsGPHDi677DJ+++03TNNk8ODB1VqsNTExkeeff54ffviBgwcPVlg7KDY2tgbvTkTkzFAiXUTECUJDQxk5ciSzZ88uq+tXVU2/jIwMgBPOnI6MjCx3XOltWFhYpcdX1k5KSgoAr7/+epV9z87OPq0g/M477+Stt96q1rEner8pKSkUFRUxderUE772+FqK6enpNG7cGJutZhdWXXPNNXz99ddMnz6dt956i9dffx3DMBg8eDAvv/zyCb88wamP3fH8/Pwq7CudkXOiBVVFRERE5MxQDP8WpmkSFxfHf/7zH1566SWuueYaFi9ejN1uL9efVatWnXAx1dL+gBWnAzRu3PikfUhJSaFnz54cOnSI/v37M2zYMAICArDb7WzcuJFvvvmG/Pz8Gr9HERFnU2kXEREnufXWW8nIyGD8+PF4eHgwZsyYEx5bmlBNSEio9Pn4+Phyx5XeJiYmVnp8Ze2Uvmbz5s2YpnnC7a+zxs+kvy4+enxfg4ODq+zn/v37y44PCAggPj4eh8NR475cccUVLF++nNTUVH744Qduu+02li1bxogRI6qcHX6qYyciIiIidVdDj+ENw6BRo0a8+OKL3HTTTSxbtqzcjwml/fnHP/5RZX+efvppwIrTAWJiYk567vfee49Dhw7x7LPPsnLlSl599VWeffZZpkyZQp8+fZzy/kREnEmJdBERJxk+fDiNGzcmJiaGUaNGERgYeMJj/fz8aNGiBXv27Kk0yFy2bBlA2cxoPz8/oqOj2bNnT1mAfrwVK1ZU2Ne7d28Afv311xq8m7Ord+/eHD16tOzS0JPp1asX+fn5LF++/LTP7evry4gRI/jf//7H+PHjSUhIKKuTWZlTHTsRERERqbsUwx/zf//3f3h6evKvf/2LzMxMAHr27IlhGNXuT48ePbDZbCxdupTCwsIqjy0tXXPFFVdUeK6yz0ZEpLYpkS4i4iR2u52vv/6aefPmMW3atJMeP27cOAoLC3nssccwTbNs/59//snMmTPx9/dn1KhRZfvHjh1LQUEBTz31VLl2fvzxxwq1FQEmTJiAr68vTzzxBFu3bq3wfE5OTlkNxtr297//HbAWfDp69GiF5+Pj49m+fXvZ43vvvRewFu8svdy0VFFR0QlnCZX65ZdfKi2lUjpbyMPDo8rXn+rYiYiIiEjdpBj+mMjISO666y6OHj3KjBkzAIiIiODaa69l9erVvPjii+Xec6m1a9eSk5MDWOVqRo8ezd69eyst25iYmEhRURFA2az6lStXljtm1qxZfP/99858ayIiTqEa6SIiTtSjRw969OhRrWMffvhhFixYwMcff8z27dsZOnQoiYmJzJkzh6KiIt555x18fX3LHT937lzeeecdtm7dygUXXMDhw4f5/PPPufTSS1mwYEG59kNDQ/nss8+45ppr6NKlCyNGjKBdu3bk5+dz4MABli9fTr9+/Vi4cKFTP4OaGDFiBJMnT+bZZ5+lVatWjBgxgubNm3P06FH27NnDihUr+Ne//kX79u0BuOSSS3jooYd46aWXaN26NVdeeSVhYWHExMSwZMkSHnroIR544IETnu/vf/87sbGxDBgwgKioKAzDYOXKlaxbt44+ffowYMCAKvt7qmMnIiIiInWXYvhjHnnkEd5++22mT5/OfffdR0BAAG+88QY7d+7k4Ycf5uOPP6Zv374EBARw+PBhfvvtN3bv3k1cXBxeXl4AvPHGG2zZsoV///vffP/99wwZMgTTNNm1axc//vgjCQkJBAQEMHbsWF544QXuu+8+li5dSvPmzdm0aRNLlizhqquuYu7cuWfkPYqI1JQS6SIitcTDw4Off/6ZF154gTlz5vCf//wHLy8vBg0axOOPP14hmevt7c3y5ct57LHHmDdvHr///jsdO3Zkzpw5pKenVwjCAS699FL++OMPXnzxRRYvXsxPP/2Et7c3TZo0YcKECdx0001n6+2e1DPPPMMFF1zAK6+8wpIlS0hLSyM4OJjo6GimTJlSoV7liy++SN++fXnttdf48ssvycvLIzIykiFDhvC3v/2tynM99thjzJ07lw0bNrBo0SJcXV2JiorihRde4J577ilbXOlETnXsRERERKR+qO8xfHh4OHfffTcvv/wy06dP55lnniEoKIjVq1fz2muvMWfOHD799FMcDgcRERF06dKFyZMnl1v4NCQkhDVr1vDSSy/xxRdf8Nprr+Hh4UF0dDSPPvoo3t7eADRp0oTly5fz8MMPs3jxYoqKijj//PP58ccfOXz4sBLpIlLnGGZl1+WIiIiIiIiIiIiIiAigGukiIiIiIiIiIiIiIlVSIl1EREREREREREREpApKpIuIiIiIiIiIiIiIVEGJdBERERERERERERGRKiiRLiIiIiIiIiIiIiJSBSXSRURERERERERERESq4FLbHThXORwOYmNj8fX1xTCM2u6OiIiIiJzDTNMkMzOTRo0aYbNprktVFIeLiIiIiLOcShyuRHoNxcbG0rRp09ruhoiIiIjUI4cPH6ZJkya13Y06TXG4iIiIiDhbdeJwJdJryNfXF7A+ZD8/v7N2XofDQVJSEqGhoZqtVM9prBsOjXXDobFuODTWDYezxjojI4OmTZuWxZhyYorD5UzTWDccGuuGQ2PdcGisG47aiMOVSK+h0stI/fz8znoAn5eXh5+fn/5BqOc01g2Hxrrh0Fg3HBrrhsPZY61SJSenOFzONI11w6Gxbjg01g2HxrrhqI04XH+iRERERERERERERESqoES6iIiIiIiIiIiIiEgVlEgXEREREREREREREamCaqSfYcXFxRQWFjqtPYfDQWFhIXl5ear1dJa5urpit9truxsiIiIiUg2Kw+sPxeEiIiJSFyiRfoaYpkl8fDxpaWlOb9fhcJCZmanFqGpBQEAAERER+uxFRERE6ijF4fWT4nARERGpbUqknyGlwXtYWBheXl5OC/hM06SoqAgXFxcFkWeRaZrk5OSQmJgIQGRkZC33SEREREQqozi8flEcLiIiInWFEulnQHFxcVnwHhwc7NS2FcDXHk9PTwASExMJCwvT5aUiIiIidYzi8PpJcbiIiIjUBSrudwaU1mL08vKq5Z6Is5WOqTPrbYqIiIiIcygOr78Uh4uIiEhtUyL9DNJMlfpHYyoiIiJS9ylmq380piIiIlLblEiXMyoqKooZM2bUdjdERERERBoUxeEiIiIizqVEugDWDI+qtilTptSo3fXr13PHHXc4t7MiIiIiIvWE4nARERGRc4MWGxUA4uLiyu7PmTOHp556ip07d5bt8/HxKbtvmibFxcW4uJz8j09oaKhzOyoiIiIiUo8oDhcRERE5N2hGugAQERFRtvn7+2MYRtnjHTt24Ovryw8//ED37t1xd3dn5cqV7N27lyuuuILw8HB8fHzo2bMnixcvLtfuXy8pNQyDd999lyuvvBIvLy9at27N/Pnzz/K7FRERERGpGxSHi4iIiJwbzolE+uuvv05UVBQeHh707t2bdevWnfDYwsJCnnnmGVq2bImHhwddunRh4cKF5Y4pLi5m8uTJREdH4+npScuWLXn22WcxTfOM9N80TXIKimplc+Z7evTRR3n++efZvn07nTt3Jisri0suuYQlS5bwxx9/MGLECEaOHMmhQ4eqbGfq1Klce+21/Pnnn1xyySWMGTOGlJQUp/VTRERERAQUh/+V4nARERGRmqvzpV3mzJnDpEmTeOutt+jduzczZsxg+PDh7Ny5k7CwsArHP/nkk3zyySe88847tGvXjkWLFnHllVeyevVqunXrBsALL7zAm2++yYcffkjHjh357bffmDBhAv7+/vz97393+nvILSymw1OLnN5udWx7Zjhebs4Z5meeeYa//e1vZY+DgoLo0qVL2eNnn32WefPmMX/+fCZOnHjCdsaPH88NN9wAwHPPPccrr7zCunXrGDFihFP6KSIiIvWQwwE7voOELeARAJ6B4Fl6W7J5BICL28nbMk0ozIG8DMhLh/yS29LNKwg6XnmG35CcDYrDy1McLiIiImdccaEVaxfmQVFuJbclW1Hecbclz7l4wqB/1vY7OKE6n0ifPn06t99+OxMmTADgrbfeYsGCBbz//vs8+uijFY7/+OOPeeKJJ7jkkksAuPvuu1m8eDEvv/wyn3zyCQCrV6/miiuu4NJLLwWsyx4/++yzKme6C/To0aPc46ysLKZMmcKCBQuIi4ujqKiI3Nzck86E6dy5c9l9b29v/Pz8SExMPCN9FhERkXOcacLen2HJVIjbdPLj3XzKJ9ndfKAgqyRJflzi3FF04jaa9lYiXeoUxeEiIiJSKxwOiN8EexZDwtYTJMH/ss8srvn5fMKVSK+pgoICNmzYwGOPPVa2z2azMWzYMH799ddKX5Ofn4+Hh0e5fZ6enqxcubLscb9+/fjf//7Hrl27aNOmDZs2bWLlypVMnz79hH3Jz88nPz+/7HFGRgYADocDh8NR7liHw4FpmmWbh4uNrVMvqv4bP4nCwiJcXas3dB4utlO+rLT0+L/eenl5lWvrH//4B4sXL+bFF1+kVatWeHp6cs0115Cfn1/uuNLPoZSLi0u5x4ZhUFxcfMZK6zhT6XupbNydrfTP0Zk+j9Q+jXXDobFuODTWTnLkN4yfn8E4sAIA080X2o+E4nzITYPc1GNbXjoGppU0L8iC9MMnbd40bODuBx7+4OGPw82XbJsPeQGtCanm2DlrrPVn5czwdLWz7ZnhTmnLNE2KiopwcXHBMIxqndtZvL29yz1+6KGH+Omnn3jppZfK4vCrr76agoKCKttxdXUt99gwDP3ZExERkfKykqyJLHsWW7c5yTVvy8UTXD3A1QtcPMDV8y+3f3nOM9B57+MMqNOJ9OTkZIqLiwkPDy+3Pzw8nB07dlT6muHDhzN9+nQuuOACWrZsyZIlS5g7dy7Fxcd+DXn00UfJyMigXbt22O12iouL+fe//82YMWNO2Jdp06YxderUCvuTkpLIy8srt6+wsBCHw0FRURFFRdZsJzcnVaM3TRObHeyGWa0A/vj3XV2lwXRp30vbOP79AKxatYqxY8cycuRIwJoZc+DAAS644IJyx5V+Fsf36fjHlR1TVxUVFeFwODh69GiFLyLO5nA4SE9Pt8bcdk4sZyA1pLFuODTWDYfG+vTYU/fiu+4/eOz/CYBiw5Vfgy7nA+NK4g74EOrjRrivG+FBroSV3A/zshPqlodbYSZGfhq2/HRseekYhVmYrt6Ybr443HzJs3kTk+/BoRwX9mfaOZxewJG0PA4n55OUVQhAj6a+vFbNWbrOGuvMzMwav1ZOzDAMp5VXMU2TIhvVTqSfSatWrWL8+PFceaV15URpHC4iIiLnsPQYq5ThtvkQvxl8wsC/Mfg3Ab8m1q1/45L7jcHN++RtVkdxIRxZD3uWWMnzuI3ln3fzgRYXQrM+1iSUsiS4l5UIL02W/3WfizvUcszkbHU6kV4T//3vf7n99ttp164dhmHQsmVLJkyYwPvvv192zOeff86nn37KrFmz6NixIxs3buSBBx6gUaNGjBs3rtJ2H3vsMSZNmlT2OCMjg6ZNmxIaGoqfn1+5Y/Py8sjMzMTFxQUXlzPzEZ/JJG7pl8DSvtvt9rLHx7+fNm3a8M0333DFFVdgGAZPPfUUDocDwzDKHWez2co9ttvtFT6Xvx5TV7m4uGCz2QgODq5w5YOzlX6WoaGhSsLUcxrrhkNj3XBorE9dZl4h+/bsxGfNS7SM/RYbDopNg6+KL2BG0WhiY0JKjsyBhJxK27AZEObrTqS/N5H+wUQGeODv4UpsYh4HkrM5cDSb+IxsIPuE/fDzcCHAx7PStXgq46yxPtNxhdQvrVu3Zu7cuYwcORLDMJg8ebJmlouIiJyLUvbD9vlW8jzmt/LP5afD0d0nfq1n4HFJ9sZWwtvF3drs7n+572Yluu1uJfvcIHGblTjft9wqfXi8iE7Qahi0GkZW2PkcSC0kLaeQAC9XArxcCfRyw8vNXuuTC862Op25DAkJwW63k5CQUG5/QkICERERlb4mNDSUr7/+mry8PI4ePUqjRo149NFHadGiRdkx//znP3n00Ue5/vrrAejUqRMHDx5k2rRpJ0yku7u74+7uXmG/zWar8KXJZrNhGEbZ5kymeWwm+pn6w/rX9o+/Pf6c06dP55ZbbqF///6EhITwyCOPkJGRUeG4kz0+0b66qLSflY37mTrf2TqX1C6NdcOhsW4Aigrgj0/wyszAFnoPNludDrecy1EMtqrLWWTkFXIgOZv9ydnsS8pmZ3wmMbFHuDxzNjfbf8LdsGaFLyzuyUtF1xDn2px2zf0YGulH+0g/grzdSMjIIzY9l7i0POLSc4lNyyMhI48ih0l8Rj7xGfn8UUVlFz8PF6JDvIkK8aZ5sDfRIV7WbbA3AV6upxyTOOPvtf5NkFNRGof369evXBwuIiLSoBXlw28f4BO/B3qPg8hOtd2jyiXusJLn20tmnpcxrLV62o+E6Aus8oUZMZB+xNqOv1+QdazEYbk2asbhGURGo4HsD+jDH67d2JbpxcE92exfk0Ny1tJKX+PmYiOwJKke6OVGoLcrAV5uBHm5lSTc3bAZ1pJHpcWcTdO07ptgYpY9Z5Y89nS1c9X5TU77/ZwpdfqbnZubG927d2fJkiWMGjUKsGb9LFmypMrV6MGa1dO4cWMKCwv56quvuPbaa8uey8nJqfBlxW63axZHifHjxzN+/PiyxxdeeGGl9cujoqL4+eefy+279957yz3+6yWmlbWTlpZW476KiIjUKbsXw8JHsR3djT9g7v0WRr0JoW1qu2enzuGwAvOco1ZdxJyjx7bso+Ufl24FWeDmg8MrhHy3QDLsAaSYfsQV+XA434s92Z4czPPkqOnPUdOXXNy52f4jL7oswNclF4AdHl34vfXfCWjTn3cj/WgW5IXNdvLEtsNhkpyVT2x6HnFpucSm5xGfnktqTiGNAjxPO1kucjYoDhcREakB04QdC+DHJ7ClHsAHYOM7EDUQet8FbS8+6WSPM96/+D+tWefb50PyrmPPGXaI6g/tL7cS6L6VTxyu0F5e+l+S7LFQmGP9mFCcb90W5UNxARTl4SjMpzA/l6LCPIoL8qEoj6O2YNbauvJDXkdWpDbFkVqaK00p2Y4J9nYjyNuNjLxCUrMLKSh2UFDkICEjn4SM/ApdrKlQX3cl0k/HpEmTGDduHD169KBXr17MmDGD7OxsJkyYAMDNN99M48aNmTZtGgBr164lJiaGrl27EhMTw5QpU3A4HDz88MNlbY4cOZJ///vfNGvWjI4dO/LHH3+UzeoQEREROWXJe2DR47B7EQCmVwhmUR62mN/grQEw5AnoO7F2A/i/Ksyzgu+0Q5jph8lOPEhW4n4cqYdxy47BvyABV2qwfklBFraCLDw5gCcQDrQ//nm3yl9WFNYJl4um0K7lUNrVIMltsxmE+XkQ5udB16YBp95vERERETn3JGyFhY/C/l8AMH0iyA/pgPvB5daC9QdWQEAz6HUHdLvp7C9meWAV/PAIJBw3a9zmCi0HW8nztpeAd3C5l2TlFxGfnlvyyMBmgM0wsBkGhmHFvTbDHZtnSwyvlhiRBiYmSZn5xKTmElsyqSQmNZeYNOtxUlY+lfymXk6IjztRwV7lrtiMCvamWbAX/p7HSkybpklOQTGpOQWk5RSSkl1Q7n5aTgGpOYWk5xbiKKmsYWCVSy+N8o/fB0bZc8efpy6q84n06667jqSkJJ566ini4+Pp2rUrCxcuLFuA9NChQ+Vml+fl5fHkk0+yb98+fHx8uOSSS/j4448JCAgoO+bVV19l8uTJ3HPPPSQmJtKoUSPuvPNOnnrqqbP99kRERORclpcOv7wIa94CRyHYXKD3XZgDHyI59gChvz6LsXcJ/PQUbP8WrnijdmanOxyw7n+YB1dRmHII0g/jlne07GkD8CnZ/ird9CLF9CUFP1JMX1JNX1L4y23J/UzTCz8jhyAyaOqeTWuffKI9c4h0ySbUnkGAIw3PwjTspTPczWIIagFDnsSlw5Wg8iYiIiIi9ZdpQtoha9a1S8XyyackOxmW/hs2zATTYdUB73cfZv/7SUvLIcw9H2PDB9bzaYfgxydh6XPQ5QbofSeEtnXGOzqxjDj4aTJs/sJ67OIJrYdB+yugzUXg4U96biF7EjPZvfUQexKz2J2YxZ7ELGLScqtuu4Y8XG00DvCkUYAnTQI9aRLoRVSwN82DvWge7IWvR/WS2IZh4O3ugre7C03O8u8Sta3OJ9IBJk6ceMJSLsuWLSv3eNCgQWzbtq3K9nx9fZkxYwYzZsxwUg9FRESkQXE4YOMnsOQZyE6y9rW+CIY/ByGtweHA4ROJeeMXGJs+hUVPwJH11uz0oZOhzz2Yho20nEIOp+ZwKCWH7PwiOjcJoG24b7VKmVRHscPkz0NHcf/hATokfItB+QnhOaY7MWYIMWYIcYSQ4xmBEdAMr9DmBDduRVBkc7C5UOyw2vIyTdwdJqGmicNhUly6mdYtQJNAT6JDfAg8WfkUh8NaQMkjoHQqioiIiIjUZ3/OgXl3gqu3NSO79UXW5hdZ/TaKC2HdO7DseSuWBOhwBfztGQiMsmJMcsC/KQybAhc8bCWz175lLa7523vw23s4ogeT3vlWYkIHkF3goEmQF5F+HqcfhxcXWuda9jwUZGFikNflZra1/TvbM1zZcyCL3eu2szshi8TME5dE8fNwwWYzME1wmGbZben94x+XhOGE+LiVJcpLb0uT5o0CPE8en8tJnROJdBEREZE649Aa6/LMuI3W4+BWMHyaNbPkL/KLHMQ0uYrE4V2IWvUIjY7+Cj8+ydYln/JI0Z1syQ+r8BpfDxd6NA+kZ3QQvaKC6NTEH3eX6peEOXg0mxW7k1m5O5m1exN4uvhVRtlXU2TaeLXoSnYQBf5N8A6LpklkJK0j/Ggd7kPfEO9TOs9ps9nO/qW1IiIiIueqhK3WFj0IfMNruzc1s7dkfY/CbNjxnbUBRHaB1sOhzQho1O3EVynu+tEqp3h0t/U4ohOMeB6iBpQdkppTwB9HMilOKCY1p5DkrAKOZp/PUd9XiSj8jaGZc+lXtA7b/qUE7l9KmiOcr4ov4rviPmS5hhAd4k3LMB9alNy2DPWmRYgPnm5Vx8lpOQUk/fkT4SufxC9rHwA7XNrydOEE1q5tBmt3Vvq6SH8PWoX50DrMl9bhPrQO86FVmA8BXieoh3gCZkkJFTmzlEgXERGR6kk9CKtmwNE9VgDf7jLrkshzLWAzTUg7aJVhcfcDN5/qlRRJj7FKtGz50nrs7geDHrHqLbq4YZomO+IzWbk7mZV7ktgWk05SduFxDUzkOvt5POnyCR2Lt/Ml/+RF+7V853kFTYJ9cbPb2HQkjcy8IpbuTGLpTmumu5uLja5NAugZHUjPqCDObx6I33GXXablFLB671Ereb4nicMp1qWgrhTxX9fXuMS+jmLsrOr2f1zc51ruOdsJcxEREZGGoCDHKlfizDVxTBMOrrZi8N0/WvsMuzWLu9tN0GY42J1QUzo/y2p/90/QpDv0vO3026xM0g7rdujT4CiCXQsh5neI22Rtv/wfeIcem6necgh4+EHSTiuBvmex9XrvUBgyGbrdhGnY2BqTztIdify8M5GNh9OqqAXelA+4nyZGIjfbf+J6+1KibQk8bfuYp10/ZqOjBUsSz2dxfHe+NZtxrKI3NA7wpEWoNy1DfYgK9iIjr4gDydnsP5pNdtIh/l40k8vsawBINv14oeh6vsy7ABMbhmG9vk24b1mivHSrbjmVk1ES/exQIl1ERESqlnYYVrwEf3xiBbxgLebz87NWfet2l1pJ9SY969Zimiey4mWr72UMKynu4Qce/sfuH7+vMA82fACFOdbx54+FIZOJL/Zj5aZEVu5OYuWeZJKzCiqcztvNTtMgL5oFeeETdAuLPEczZNezBCWsYrLrp0yO3AtXvA4hrSgqdrAtLoN1+1P47UAq6w+kcDS7gHUHUlh3IAXYi82AdhF+dGrsz474DP6MSS/3ZcHFZtCrmTf/KniRFinrMO1u2K/9iEFtLz7Tn6yIiIhIw+IothLQ69+zkrw+4dDpauh8LUR0rvmEE4cDdv0AK2fAkXXWPsMGIW2sZPSuH6zNKwS6XA9dx0B4h1M7R24q7FwI2+fDniVQXFJm5M85VnuunjXr+4k4HJC0y7rf/nIIaQWDHoasRCuBv3sR7F1qlU3c+Km12VysGeqxf1jfQ2yu0OcusnpPYuXhfJbO3crSnYkVSqQ09ncjIsCbEB83gn3cCfFxt+57uxPs41Zyfww+9nzY/Ln1PSf2d7ra9tHVto9/8CVprmGscenF/LwuLM5tQ0waxKTlsmJ3ctl5XCniNvv33OcyDy97PsXY+Mn7MtY2v4tW4RG8HeJNdIg3TYO88HA9B74nyUkpkS4iIiKVS4+xks6/f2QtpAnQ4kLrksu9P8O+ZZCyD1a/am3eodD2YiupHj0IXD1qs/cndnB1yR0DMK0tP93a0g9X+dLiJn3Y0OERfjgazsr/bWd3Yla55z1d7fRuEUT/lsFE+0LXVo0J9nGvOENkyAJr4aMfn4TDa+Ct/jD0KVx63UnnJgF0bhLAbQOtSzT3JWezfn8K60sS64dSctgWl8G2uIyy5lqF+TCgVQgDW4fQu6kXPvPGQfwKcPHAuO5Ta2EjEREREXGOzAT44yPY8GH5+DErHn59zdpC21kJ9U7XQECz6rVbVGDV8171X0guKQVid4euN0K/+yC4pTU7e+OnsGk2ZCUcO1+j86HbGDjvavAMqLz97GSrnMq2+bB/+bFJMgCB0ZAZD0W5kLwbIjvX6KM5ofRDVtt2N6uWeSmfMKvf3cZY7//Qr9aPE7sWWlfCHlkPQFbURXwfeQ9fH/Rk/fI1FBYfm0ni6Wqnf6sQhrQL44LWwbgUZBIWFobtpFedukHPW60tMx52LYKdP8C+ZQQUJjKi8DtG8B2mrzdpjQayK2Agv9rOZ3uGGz2K/uDqxFcJzD0IWN8T7Je9xIiIToxw7icndYgS6SIiIvVB6kFY+R/YOs8KTFsOgVZDoUkvcDm1+npkxMHK6Vait7hkhnXUQBj8ODTvZz3uczfkZ1ozb3YssOoVZidZSfffP7IWEGo9DNpeatUOr0u1sNOPWLdj50HT3pCfAXkZJbfpFR4X5aaz50gCP+R25I3951G4Jxc4AFiTjDo39mdA6xAGtArl/OYBuLvYcTgcJCYmEuTtVvllloYBPSZYYzT/PutHiUWPW1/Ghk2xfpAwDAzDoGWoDy1Dfbi+l/UFLD49j/UHUtgWl0GLEG8GtA4h0r9kxlBBNnx2vXXFgKsX3DAbWgw605+oiIiISP1nmnBgpbVY5fZvjyWhPQOtMivdxsLRvdaM7p0/WDPHlzxjbc37Q+frrEUxK0ty52dZMfSvr0FGjLXP3c9K8Pa+u3xN9NC21sKaQ56yYvE/PraSzrG/W9uiJ6yJLd1usia3ZMVb/d02Hw6tBtNxXFvtocPl1gzx8I7wwcVWIjtxu/MT6aWz0YNbg/0E6UgXNyt2bTEIhv+b/IRd/LxwLt/H+vDtjmjYkQPkANA82IvBbcMY0i6MXtFBZTO+rTg889T75xsB3cdZW0GOFU/v/B52LcLIiifw4EJ6H1xIbwwIaQ3JJe/HOwwuehZ75+vOvZKXcsqUSBcRETmXpeyDFdNh02fHgvm4jda2crpV/ztqoJWwbTnEKsVyogAvM966fPS3949d2tm8v5VAP24BnzLuvtDxSmsrKoCDq6yk+o4FkBkL276xNsMOjbpabTQfAM36WCVTaoNpHps1FNAM3LyszTei0sPzCou58+MNLN+fVLavaZAnA1qFMrB1CP1aBp/yQkDlBDSDsV9bP1osecaaeTT7BmjWF/72LDTtWeElEf4ejOzSiJFdGv2lsxkw61rry4+bD4z54tgPHyIiIiJSM7lpVqz92/vHkqdgTVjpeSt0GHXsSszQttDuEmtyxrb5VlL9wEorTj64Cr5/yKpr3vk6qwZ4fhasexvWvg15aVYbPuHQ5x5r0oWH/4n7ZXeBtiOsLSvpWImSxG3Wmj5bvgTPIMhNKf+6yK7Hkuchrcs/F9beiiWTtp/0Y8nIK2RbbAYuNoPuzQNPXqO7tD56aJuTtg2QlJnP7V8msfFwJwBc7Qa9o4MZ3C6MwW1DaRHqU612asTN69hn63BY3612lpTTid9s/Tkw7ND7Trjw0arHSeoVJdLFaS688EK6du3KjBkzAIiKiuKBBx7ggQceOOFrDMNg3rx5jBo16rTO7ax2RETOGcl7rLrlf34OZrG1r8WF1iWf2clWncO9P0NO8rEaigABzY/NVo++wAr6shJLEujvQVGedVyzvnDhY9Yx1ZlZ4eIGLQdb2yUvWsFmaVI9cRvEbLC2Vf+16jtGdC5JrPeH5n3P3oz13NSSOueAX+MqD80pKOLWmb/x676jeLraeXhEW4a0C6N5sLdz+1Q6O/28q6xxWPOG9QXmvWHWF5yhT1s1JKuSmwafjIaY38DdH276qtIkvIjUT4rDRaRBSdxhTRiJHmSVAzlTYn634uPNX1klScC66rLztVYCPaLTiV/r4W+tqXP+WOtqyM1fWkn1xG3W7PDt34JHABTlH2s7qAX0vx86X3/qJRJ9QqHvvVYCPvYPK6G++cuSJLphXYXZ4XJrpnpg8xO3E9reuk3cUbbLNE0SM/PZGpvO1hirvODW2AwOpeSUHXPxeRG8cHVn/KpaODOppFRNaLuTvp1dCZlM+GA9MWm5+Hu68uyo8xjaLgxv91pIY9ps0Ph8axvyhDWeh9ZY32eq+aOA1B9KpAsAI0eOpLCwkIULF1Z4bsWKFVxwwQVs2rSJzp2rf2nP+vXr8fZ2brJhypQpfP3112zcuLHc/ri4OAID61DZABGRMyVxB/zyImyde+yyzFZ/sxbqadrr2HFdrrdmTyRsPpZUP7QG0g5ai2Zu+KBkpng3SNh6LIBv0suagd7iwppfmmgYVruNusGQJyHtEBxYBQdXWrep+4/Nmv/1NcCA8PMgqn9JYr0/eAeXazKnoIiU7AJSsws5mp1Pak4BKdmFpGTnk5JdSCN/D24b2AJPt5Ms4pN2yLr1DqvyC0pmXiG3zFzP+gOpeLvZ+WBCL3pFB9Xs86guD38Y9jT0vA2WPQcbZ1mLP+38HrqPh0GPWDUk/yonBT4eBXGbrB8kxs6zPnsROScoDhcRqabiQmvSwS//Z5Uf3P6tdWWkm5fzz7XuHWv2eKmwDtDjFmsm+aleWenfBAY8YG3xW6yE+uYvIDPOej6yKwx4ENqPBFvlsWxaTgGbY9KJS8sjwt+DpkFeNA7wxM3lLzXADeNY0nf4v+HIb9as8xNcfflXjpC22IDsI5t59Ycd1ro8sekkZxVUenzjAE8SM/P4YUs8W2MzeP3G8+nU5ASzs8tmpLetsg/LdyUx8dPfycwvIjrEm/fG9Tizs89PlX8Ta0FZaZCUSBcAbr31VkaPHs2RI0do0qRJuec++OADevTocUrBO0BoaKgzu1iliIjq/acgInLOit9iJdC3fYO1QCbQ5mIY9E9o3L3y19hsENnF2gZOsi4dPbjqWGL96G5rBjNA4x4w+DFoOdT5tf0CmkHXZtD1ButxRmz5xPrR3VbCP2EzrH0LgO99r+Z11/GkZheQklNAXqGjihNY5m+K5bUbz6dthO+JDyqtj+7f5MSH5BRy8wfr2HQ4DV8PFz68pRfnNzuLSSL/xnDF69DnXlg8BXYvgvXvWgtK9fu7NdvIveTLRFaSlURP2AJeIXDzNxBx3tnrq4icNsXhIlLn5aVDzlEIiLLiy9oQtwm+udcqqwHWhJDCHGtRyo6jnHsu04TVr1j3211mXfHZtLdzYuSI86xt2BQ4vBZsLtCkZ7m2M/IK2XIknT9j0tl8JJ0/Y9I4nJJboSnDgAg/D5oGetEkyJNmQV40DfSiaZAXTYM8Cff1wBY9EIDCYgfJWfkkZuSTmJlPYmYeiRn5JJXsS8rMIzEzn+LMJNa5gXfOET5cvpVcrIknNgNahvrQsZEfHRv507GRH+0j/Qj0dmPj4TQmzvqdQyk5jH5zNU9c2p6b+zYvX+rFNKs1I/2TNQd5ev5Wih0mvaKDePum7gR6n0YZRREnUyJdALjssssIDQ1l5syZPPnkk2X7s7Ky+OKLL3j00Ue54YYb+OWXX0hNTaVly5Y8/vjj3HDDDSds86+XlO7evZtbb72VdevW0aJFC/773/9WeM0jjzzCvHnzOHLkCBEREYwZM4annnoKV1dXZs6cydSpUwHK/kH+4IMPGD9+fIVLSjdv3sz999/Pr7/+ipeXF6NHj2b69On4+FiJh/Hjx5OWlsaAAQN4+eWXKSgo4Prrr2fGjBm4ulZxKZKIyNkWu9FKoO/47ti+9iPhgn9aCfJT4e5j1WRsM9x6nHrQSqz7NYLoQRQUmySl55GQkUdiRh4JGfkklNyWBtsJmXkUFjloGeZD6zBfWof70Cbcut84wBObrRpfMPwacbTF5fzhcgG/u6ay12Uv3nHr6OrYSj/bVlrZYumZ8RNb868q9zI3FxvB3m4EerkR5H1s8/VwYfb6w+xOzOLy11Yy5fKOXN+zaeV1GsvqozettGsp2QWMfW8tW2MzCPBy5ZNbe3Ne41qqeRjeAcZ8btXV/HGytXjUsuesS4wvfNSqq/nxVVZddZ9wuHk+hJ38UlkRqVsUhysOF6nTdiyALyZY6+e4elmzicM6lGztrVvfiDO3yGJhnjUDfeUMq5yhZyBc/H9WQn31K7Dta+cn0mN+t65idPWGq945MzPebXZo3o/s/CK2HkjlzyNpbC5JnO9Lzq70JdEh3jQN8iI+PZfDKbnkFhYTl55HXHoe6w5UPN7NbiPC34Ps/CJScgowzep0zJejph/BRgYTOzkIaHUeHRv50zbc94RXfnZtGsCC+wbyzy838eO2BJ6ev5U1+46WL/WSEQsFmdYPIEEtK7RR7DB57vvtvLdyPwCjz2/Cc1edh7vLSa42FTnLlEg/G0zzWD1WZ7RVVAQOl+r9R+XqVa3jXFxcuPnmm5k5cyZPPPFEWYD8xRdfUFxczE033cQXX3zBI488gp+fHwsWLGDs2LG0bNmSXr16naR1a9Xkq666ivDwcNauXUt6enqlNRt9fX2ZOXMmjRo1YvPmzdx+++34+vry8MMPc91117FlyxYWLlzI4sWLAfD3r5jcyM7OZvjw4fTt25f169eTmJjIbbfdxsSJE5k5c2bZcUuXLiUyMpKlS5eyZ88errvuOrp27crtt99+0vcjInJWrH4Nfnyi5IFhfUm44J8Q3tEpzWd5Nebf+zrxx6FUEjMXk5Jd+SWblfnzSDp/Hkkvt8/T1U6rMB9alyTWSxPsEf4e7IzP5I/Dqfx+MJU/Dqdx8Ohf/1/sxY/u/ejf2MbbsVcTaqTz4dhOBPj5lSXMvdzsJ1zEaFy/KCZ9volfdiXx2NzNrNyTzLSrOlWs01g2I71iIj0pM5+b3l3LzoRMgr3d+PT23rSLqKVFUY8XNQBu/xm2zrMWJE3dD989aH0RMYutWu/jvoXgil9KRBo8xeGKw0VqW2a8teCjyzk4q3bTHPj6biveMGzWv6exf1jb8TwCjkust7di1bAO4Blweuc/vM6ahV66wGeHUdZaPD5hENzKSqTvWgQF2eDmxHJWW76ybtuOODNJdGBrbDrPfreNtftTKk1wNw3ypHPjADo18adzY386NvbH3/NYXGuaJkezCzicksPh1FzrNiWHw6k5HE7JJTYtl4JiR7k65i42g1Bfd0J93QnzdSfU14MwX3fC/NwJ9XEnzM96HDivMxxcyb0dCqBbFfXUj+Pv5crbY7vzwaoDTPthe1mpl9du7EbnJgHHyroEt6zwdyE7v4j7Z//B4u2JADx0URvuHdzq5IuXitQCJdLPhsIceK6RU5oygFOap/F4bLX/Q7nlllt48cUXWb58ORdeeCFgzTQZPXo0zZs356GHjtUHu++++1i0aBGff/55tQL4xYsXs2PHDhYtWkSjRtZn8dxzz3HxxReXO+74WThRUVE89NBDzJ49m4cffhhPT098fHxwcXGp8hLSWbNmkZeXx0cffVRWG/K1115j5MiRvPDCC4SHhwMQGBjIa6+9ht1up127dlx66aUsWbJEAbyI1A2mWVI/HOhwBQx+4qT1BE9FSnYB4z9YVyEZ7mo3CPP1INzPnXA/D8L9PAjzcy+3z2bAnsQsdiVksTsxi90JmexLyia3sNiaSROTfoKzltc6zIfzmwXSrVkA3ZoF0irMB7sBPO8H+RkMCsuD0GbVaivEx52Z43vyzop9vLhoJwv+jOPPI2m8esP5dG0acOzA0hrpf0mkx6fnceO7a9iXlE2Yrzuzbu9Nq7AqSsScbYZhLUba7jKrvv3yF6xLrP2bwfhvITCqtnsoUjcpDlccLlKbVs6AxU9b/18PeQI6XXPCGth1zvE1wrvcCCNnQNpha7HMxO2QuNW6PboX8tLg0GprK1NSq7vlEGtr0hPs1fxXtCAbfv4XrHkTMK21bS6bbl2VWapRNwhobq3/s/tHq1a6Mzgc1uQFgI5XVX1sDWTkFTL9x1189OsBHCUJ9Eb+HlbCvEkAnRr706mx/0nLmRiGQYiPOyE+7nSrpARhUbGD+AxrtrqPu4uVIPdyq97Vo+EdrBKMSdtP6b0ZhsEtA6Lp3jyQe48v9XJJe8bZdmBAhe8zcem53DrzN7bFZeDmYmP6tV24rLNz/t8WOROUSJcy7dq1o1+/frz//vtceOGF7NmzhxUrVvDMM89QXFzMc889x+eff05MTAwFBQXk5+fj5VW9X2e3b99O06ZNy4J3gL59+1Y4bs6cObzyyivs3buXrKwsioqK8PM7tdmA27dvp0uXLuUWWOrfvz8Oh4OdO3eWBfAdO3bEbj8WxERGRrJ58+ZTOpeIyBmTvNtagMjuDlf+r8qFMU9VTFouY99by76kbAK9XPnXqE60CPUm3M+DQC/Xas3+aBXmy4jjSnEXlcx42ZWQxZ7EzLIk+96kLAqKHPh5uNCtWWBZ4rxL04Bys2rKCWhm1fxOOwihbar9vmw2gzsHtaRXdBD3ffYHh1NyufrN1Twyoh23Doi2vjhUUiP9SGoOY95dy8GjOTTy92DW7X2ICnHuIn1O4+IGve+ELjfAzh+g5eDKFyAVkXOK4nDF4VLPmKaVQF9VUkYp/RDMuxNWvwrDpkKrM7AmjTOtmA5LrHJO9LoDRrxg1UYPaWVtHS4/dmxhnrXeTeL2Y0n2hG3We47ZYG2/vAhuPhA18FhiPbhl5Z/B/l9g/n2QesB63OVGa9FMr78s+m4YVvJ81QzY+rXzEumH10JmLLj7QathzmkTawb5/E2x/GvBdpIy8wG4tHMkj45oR9Mg5896d7HbaBLoRZPAGrRdWsM8cUeNzt2laQAL/j6Qh7/cxKKtCUz5dhstQ1cx8Pi2gS0x6dz64XoSMvIJ9nbjnXE9zu66RCI1oET62eDqZc1IcQLTNCkqKsLFxaV6l7m4nto/mrfeeiv33Xcfr7/+Oh988AEtW7Zk0KBBvPDCC/z3v/9lxowZdOrUCW9vbx544AEKCqpfBuBkfv31V8aMGcPUqVMZPnw4/v7+zJ49m5dfftlp5zjeX2swGoaBw3HyxexERM6K/cut22a9nZpE35OYydj31hGXnkcjfw8+urU3rcJ8TrtdF7uNFqE+tAj1AY7NVix2mBzNzifE2716M2DAml1UmkivgW7NAlnw94E8PnczCzbH8e/vt7NqbzIvX9OF4L/USD94NJsb31lLTFouTYM8mXVbnzPyZcbpPPygy3W13QuRuk9xeLUoDhdxIkcxfPcA/P6R9XjYFCuxvnKGFd98OtpKKP9t6okXjK8tpmktdL5qhvV44EMw5Mmqk/6uHhDRydqOlxEH+5ZaC9zvXQo5ybDrB2sDa5Z+y8FWUj36Amum/k9PwYaZ1vN+TWDkf6F1FcnsjqOsvjqzvEtpWZd2lzotBt+TmMnkr7fy676jALQI8eaZK85jQOsQp7TvdGHtrdvEU5uRfjx/T1feuqk7M1cf4Lnvt+OevgdscMjelGbAj1vjuX/2RnILi2kd5sP743ueGzG4NHhKpJ8NhuG8el2mCbYicKlmbcZTdO2113L//fcza9YsPvroI+6++24Mw2DVqlVcccUV3HTTTYBVa3HXrl106NChWu22b9+ew4cPExcXR2RkJABr1qwpd8zq1atp3rw5TzzxRNm+gwfLJ1Hc3NwoLi4+6blmzpxJdnZ22WyYVatWYbPZaNvWeWURRETOqNJEevQgpzW58XAaEz5YR2pOIS1Dvfn41t40CvB0WvuVsdusUjGnJKCknEtqzRLpYAXvr93YjX7rgnnm220s25nEqBmLWVGUVHJAU/YmZTHmnbXEZ+TRIsSbT2/vTaT/mf08ROQsUxyuOFzkbCrKh7m3w7ZvrJriI1+B88daz3UfDytehnX/gwMr4J0hVs3voU/VjXVOHA6rlMtv71mP//YM9L+/5u35RULXG63N4YCEzSVJ9Z/h0BprxvrvH1qbYQM3X8gvKQ/Y41brBwiPE18V43CYEN4FW2CUNXvdGeVdHMXW2IFTyrrkFBTx6s97eHfFPgqLTdxdbNw3pBW3X9Cibi+iWTprPOMI5GVUOQ5VMQyDCf2jOb9pANHvxwBw7485tIrfyNcbYzBNGNg6hNfHnF9xXSOROspW2x2QusXHx4frrruOxx57jLi4OMaPHw9A69at+emnn1i9ejXbt2/nzjvvJCEhodrtDhs2jDZt2jBu3Dg2bdrEihUrygXqpec4dOgQs2fPZu/evbzyyivMmzev3DFRUVHs37+fjRs3kpycTH5+foVzjRkzBg8PD8aNG8eWLVtYunQp9913H2PHji27nFRE5LQVF1lfAvIynN+2wwH7V1j3nZRIX7E7iRvfWUNqTiFdmvjzxV39zngSvcZKE+ml9cxryDAMxvRuzjcT+9MqzAeX7DgACmyebEu1c93ba4jPyKN1mA+z7+yjJLqI1CrF4SLnuPwsmHWdlYi1u8E1Hx5LooNVmmT4v+G+DVa5EgzY9jW83gu+mwSZ1f977XTFhVbpmd/es/p12X9OL4n+VzYbRHaBAQ9aC6Q/cgDGfAV97oXQ9mA6rCR6YDSMX2DVQz9B8nZvUhZPfbOFTlMW0XHKj3ye0wOAXT9/xLw/jrDpcBoZeYU16+eBlZCdCJ6B0OLCmrWBdQXToq3x/G36L7y5bC+FxSbD2oexeNIgJg5pXbeT6GD9WfUpucI0aedpN9clqBA/snBgsKs4gnl/WEn0G3s34/3xPZVEl3OKZqRLBbfeeivvvfcel1xySVktxSeffJJ9+/YxfPhwvLy8uOOOOxg1ahTp6dVbUM5mszFv3jxuvfVWevXqRVRUFK+88gojRowoO+byyy/nwQcfZOLEieTn53PppZcyefJkpkyZUnbM6NGjmTt3LoMHDyYtLY0PPvig7EtGKS8vLxYtWsT9999Pz5498fLyYvTo0UyfPv20PxsREYoK4M/Z1oyi1APWQqDXfuTcc8T/aS3a5OZrLaR0mhb8GccDc/6gsNhkQKsQ3hrbHR/3OhwCBDa3bmtY2uWv2kX4MX9ifz6dtRcOwMGiIC59bSWmCe0j/fjk1l4E+7g75VwiIqdDcbjIOSonBT69BmJ+A1dvuGHWiROxAc3gyjeh30RYPBV2L7IS2JtmW/v6TqzxDOAaKcyDL2+BnQvAsMNV/4NOV5/Zc7p5WyVbSsu2ZMTC0T3QuAe4VSzv4XCY/LI7iQ9WHWD5rqRyz32Y0Y1r3b+kafJKrpizllysKyFDfNxpEepNy1BvokO8iQ72wl6YQ0xeKiYGRQ6T4uO2IodJu/Wf0hQ4EDaUPzYnAtZVjgFebgR6uRHo5Yqfh2uV5QoPHc3h6flbWLrT6mfjAE+mXN6Rv3U4x35MDGsHWfFW3fumPU+vrSSr1roRGMVjPboyc/UBxvaN4pb+UdUrlSZShximaZq13YlzUUZGBv7+/qSnp1dYhCcvL4/9+/cTHR2Nh4fz6tpCDWozilOdybH9K4fDQWJiImFhYdhsunikPjujY22a1gI/B1ZCSBuIHgjuvs49x9mQmwYL/gFmMYR1tOr2hXeAgChrhsvZUJQPGz+FFf+xLkUtZXeHR/ZXq3RAtcd61Svw02RoMwJunHNa3f5kzUEmf7MF04RLO0Uy/boudX8WTPxmeGsAeAXDw/uc1+7vH8H8+1hhdmVs/sN0aeLPh7f0IsDLzXnnKKF/wxsOZ411VbGllKc4vGFSHC5nglPGOiMWPr4KkrZbM5nHfAVNTqH2+YGV8NPTVhIewCsE+t4D7S+HkNY161N15WfB7ButkoJ2d7j2Q2h78Zk95ynIzi9i7u9H+GD1AfYlZQNWZa2h7cKZ0D+KRgGe7EvMpOe3Q/HLPcJ/Ah7ns+zuJGZWvGLmZFwoYr37PQQaWYwpeIxVjk6VHmczIMDLjQAvV4K83EqS7K4EebtRUOxg1tpD5Bc5cLUb3HFBCyYObo2nWx2PvSuz8DFY8wb0uQdGTDu9tta9Y5UNanMx3DjbOf2rgv4NbzhqIw6vw9PRRESkRkzTSkRu+Qq2zi1fHsPmAk17lyzsMxQiu569RPTpWPgYbPnSur/1uEvNXb2sGn5hHY4l18M6gE+48+rXFubBHx/Dyv9AhlXbz+Edxu9NxtJs98eEFSfyyrvvcjj0QoJ83Aj2diPI251gbzcCvUsfu+F1KgH0/l+s2+gLatxt0zR57ec9vPzTLgDG9G7GM1ech726C37WptLSLjlHrS947qe/GCoA6UcA6NbpPJ5r2omRXSLx1aWkIiIiUlNH98LHo6x427cRjJ1nzeQ9FVED4LbFsP1bWDLVmpm95BlrC25lTaxoezE07QN2J6ZwclOtWfRH1luz6G+cfVqxpzMdTsnhw9UHmPPbYTLzigDwdXfh2p5Nublvc5oHH5vAEh3iDbHXwMr/8GDkFh687hEy8wrZn5zN/uRs9iZlsy8pi31JWRzNysPNxQUXuw27zcBuGNhtBi52g+6FGwhMzyLd5o8RNZCBJZ91em4hKdkFpOUUkpVfhMOElOwCUrIL2Ed2pf3v3yqYqZefR6swJ8WwtaG0TvppLDhapmRGOqFaK0POfUqki4jUF0k7YctcK4F+dPex/a7e1kz0pJ2Quh8OrrK2n/8FnkElSfUh1ubXqPb6fyK7foRNswADBk6yZv0kbLXeT2EOxP5ubcfzDLIS6uEdIaITRHa26i+6nMLM48Jc2DATVs6wLmsEir0j+Dn4Bh4/1J2kTTaecfmTm11+IiR2GdMPtaqyOXcXG0HeboT7uNC5aTIdGvnRoZEfbcJ98XA9LsleVAAHV1v3a1gf3eEweea7bcxcfQCAvw9pxYN/a3PuzKD08AePAKu8Tdoh6wcSZ0g7DIBPWDQ39m7mnDZFRESkYYrfbM1Ez06EoBYw9utj5elOlWFAh8uthPmm2VY8f2CllVT/9TVr8wiA1hdB2xHQapgVL9VUVqLV94TNVrs3fQVNetS8PScwTZM1+1L4YNV+Fm9PwFFSOyE6xJvx/aIY3b3JiUsTdrzSmvSy+yfIz8LXw4fOTQLo3CSg7JCTzlz9ehZsBP/u1/DJpf0rPU1BkYO0nAJScwpJzSkgNbv8/az8Iga2DuWSThHnTtx9ImHtrdvSJPjpKK2zHnqKPzKJ1EFKpIuInMtS9luzzrfMhYQtx/bb3aHNRXDeaGg9/FitwZR9sPdn2LsU9i2H3BQrUN/ylfV8aHsrod5qCEQNBJdarhudmwbflix01OceGPrUseccxdb7T9xqzZRIKLlN2Wu9r4Mrra2UzdWaIRTR2doiO0P4eRVrUBZkw2/vW+VVsq3aiAXejZjrfQ1Tj5xP7lFrBnNUsBcRba6AP35ilPcWUnq15mhOYdkMldLtaHYBBUUO8oscxKXnEZcOG2OyjnXLgJahPrSP9KN9pB99XHfTrTDbKmsSduoJ5MJiB//8YhNfb4wF4KnLOnDLgOhTbqfWBTaHuDSrTrqzEunpViId/6bOaU9EREQapkNr4NNrrQUyIzrBTXPBJ+z027W7WguUnj/WWtB+7xLYuRB2/2jFt5s/tzabCzTvbyXe24yAoJJYzzQhP9OajJCXbsXSeenW4+Pv7/7JmmDjHWbNoo8477S7XuwwOZSSw874THYnZBKXkUdxsYnDNCk2TRwOk2LTmvDhMK265KW3xSbEpeWyO/FYjDywdQi39I9mUJvQKmuSA1ZsHxhtvafdi6zvQKeiKB+2f2fd73jVCQ9zc7ER5udBmN+ZLS9VJ5QmvTPjrKsXPANr3pZmpEs9okS6iMi5JiPuWPL7+JnYNherXMt5V0HbSypfpCiohbX1vA2KC+HIb1aAvvdniPndqu2YtB3WvG5dSnrj5xDc8uy9t7/68QnIjLX6POTJ8s/Z7BDSyto6XHFsf2EeJO+EhG3Wjwvxf0JcyeKd8ZutjU+PHR/UwvoCFNHZ+vKx9k2rpAiQ7dWYmbbRzEjuQeFR67/Mfi2DuaV/NEPahWErzoPN/8QrP5GJHfKs5PxfmKZJdkExKVkFJGflsWlfHDHZBjviM9kWl0FKdgG7E7PYnZjF/E2x/N0+l26u8GNuWz7+YD0tQ31wtRvYbAY2w7oE1WZw7LHNwDAo2W/wy+4kVuxOxsVm8OI1nbmyWxMnD8pZEtAM4jaVL010ukoT6QFKpIuIiEgN7f4J5oyFolxo1hdumA2eAc4/j4efNdO645XWBJLD62DXD7DzB0jeZdU1378cFj5qlZUpyrUS5aajeu37N4WbvznlWN80TWLSctmVkMmuhCx2xWeyMyGTPYlZ5BdV89wn4Olq56rzGzOhfxStwk5hXSfDKJmVPt0qA3mqifQ9S6wfRXwjrTEV68+fXxPIOAKJO6B5DT+XnBTILlkgNqSN8/onUkuUSBcRORcU5MCO72DTZ7Bv2bEA2bBZtQw7XgXtR4JXUPXbtLtaAVHzvlaSOifFanvvz1aAfnQPvDsMbvgMmvU5E++qarsXwx+fAAZc8fqxWfUn4+oBkV2srZRpWknUuD+PJdbj/7Rqnqfss7Zt35Qdnu7RhFeLrmBmSm+KcMHNbuOaro2Y0D+aDo2O+4HC5gktBsGuhdbsl0oS6YZh4OPugo+7C00CPWjkXlB2SalpmiRm5rMtNoNtcdY2ZO8OKIZlBe1ZsTuZFbuTT/mj83C18eaY7gxu54SZUbUloOTSaGcl0h0OSLdq3ON/jv64ICIiIrUjM8G60nH/L1Z86iiyyqxc82H1Y9TTYbMfi9v/9oxVm33XQitmP7jamnhyPLubVbLFw99K8peWzSt97BUCna4+6Sz6YofJzvhM1h9IYVtsRlnCPCu/qNLjPVxttA7zpXW4D00Dvcomg5TWIreVTAix247ttxnWfQ9XGwNbheLvVcP1azqOshLpJeVdTmmNna1zrdsOo86N9aPOlrB2ViI9aXvNE+mlZV38mzlv3SORWqRE+hlkmmZtd0GcTGMqZ5XDYdUy3zQbtn0NBccudaRpb+h0jTUT2xmXkYKVhD/vKmvLTIDPrrdmvH94OVz55qnP7Dgdeenw7d+t+73vgub9Tqs5hwm5no3IaRJOTthgctoVk1NQTEFGIi5JW/FM3oJP6jYKM5N4N6MXX6b1pRg7IT5u3NSnOWN6NyfU9wRlbtoMt77I7PoRLvjnKfXLMAzC/TwI9/Owkt4FOfCCtTjoTdffxHk5IRxOzTnuElhwmGbZVuyw/l2yLok1MU1wtRuM6d2cLk0DTuszq3WlifTUA85pLysBHIXWj0++dXAtABFxKsVs9Y/GVM6qrKSSxPkKq1Z58s7yz3e6Bka9aU1MqQ3BLaHvvdaWmwrJe8Dd91ii3MXDmqV9igqKHGyOSWf9gRTW7U9h/YGUssU+j+dqN2gR4kObCF/ahvvQOtyXtuG+NA3yqr2F7SM6W1eapuyzYvNOV1fvdYW51g8ScHa/75wLQtvBnsWnt+CoyrpIPaNE+hng6mr9Z5qTk4Onp2ct90acKScnBzg2xiJnxNG91szzTXMg/bjZuAHNocsN0OU6K0g8k3zDYfwCmHu7NRP+y1sg9SAMeLBGQfkp+/FJa7Z4YDQMnVztl8Wm5fL7oVQ2HEzl90NpxKTmkJ1fTG5hcRWvcge6l2yW9pF+3NI/isu7NsLdxX7CVwLWbCSAI+shOxm8Q6rd3woOr4HiAvBrQofzutHhXF+k6HQElCwG6qwZ6elHrFvfRmBX+CNSXykOr78Uh8sZlZ0Mh1ZbSfMDK60ZuOUYVh3xqIHQYrC12OcZmLlsmiZHUnPxcrMT7FPNtYo8A6FpzxqdL7egmD8OpbJ2v5U4/+NwKnmF5cuzeLvZ6R4VRJcm/rSNsBLmUSHeuNrr2Mxtw7BmlK+cbk1Cqm4iffeP1oQl/2a1vuBqnVO6XtNpJdJLFxpVIl3qB32TPAPsdjsBAQEkJlqL1Hl5eTltxWbTNCkqKsLFxeXcXwX6HGKaJjk5OSQmJhIQEIDdfpLEmsgpMvLT4bfv4M85cGTdsSfc/azLFLvcYNXrO5t/79284NqPrKT2mjdgyVRrAZ9Lp5/Z2Td7lsDvH1n3r3gd3LwrPaygyMG2uAwraX4wld8PpRKXnnfS5r3c7CWbS4X7gV5uXNGtEX1bBFf/31j/JhDeCRI2WzM2ulxf3Xda0f5frNvoC87uWNdFgaWlXQ46p73SH6VUH12kXlMcXv8oDpcz6rf3CF7zP2wpuyo+F16SOI8aYF0deSolFE9BQkYeq/cms2rPUX7de5SYtNyyKwz/PrQ1Qd5uTj3f4ZQcZq07xJp9R9l8JJ0iR/mrPQK9XOkZFUSvaGvrEOmHS11Lmp9IaZ303T9Zi666V6PO+pavSl47SvH3X4WVLDhaOqu8JjQjXeoZJdLPkIiICICyIN5ZTNPE4XBgs9kUwNeCgICAsrEVcQrTxFj0GGHr38NwFFr7DJu1aGiX66HdpeBaizPqbHYYMc2aGb7wESvBnXYYrv3QunTU2fIy4Nv7rfu97oSo/mVPJWbm8cehtLKk+Z9H0issaGS3GbSP9OX8ZoF0bx5I6zBffNxd8HSz4+1ux8PFju1MXG7a5iIrkb5r0ekl0vctt25bDHJOv85l/iUJ77x0yE07/UW8Smekqz66SL2nOLx+UhwuTrdpNrbvH6IsRRzW4VjiPGrAGUucp+UUsGbfUVbvPcqqPcnsTcou97zdZlBYbDJz9QG+2nCEuy5syS39o/F0O70fkfYlZfH60r18vTGG4uOS55H+HvSKDqJnVBC9o4NoGepzZuLlsyGiEwS1hJS9Vlx+slnp+VlWeUZQWZfKhJQkv7OTan7lbdmM9HbO65dILVIi/QwxDIPIyEjCwsIoLCx0WrsOh4OjR48SHByMTYtgnFWurq6aASPOt28pxtq3ADDDOmB0vdGquehbx74o9r7Dmsn75S2wbym8PwJu/Nz5s3t/egrSD1Pg24wfQm5jy4Jt7IjPZHtcBslZBRUOD/ByLUuan98skC5N/fFyq4X/2loPhxUvW7PpiwtrNmM/Nw3iNlr3oy9wZu/OTe4+1kJYOclWeZfTTaSnHbZu/TUjXaS+Uxxe/ygOF6eL3Vg2eSO783g8//YENl/nL9JumiY5BcX8djCV1XuTWb3nKFti0zm+5L9hQKfG/vRrGUK/lsH0jApiw8FUpv2wna2xGby4aCcf/XqASX9rw9Xdm55yDfKd8Zm8tnQPC/6MpTR/PrB1CKO6NqZXdBBNAj3rz4+DhmHNLF/xMmydd/JE+q6FUJRrlc2M7HJWunhOcfexyoumHbTKu0QPPLXX56UfWwg3pI3z+ydSC5RIP8PsdrtTgz6Hw4GrqyseHh4K4EXqgzVWEj274xg8R7+GUZf/Xre9GCZ8D7Oug8Rt8O4wuHEONOpa4yYTM/PYEWclyh17l3L3oQ8AGHd0LL/O3V3uWMOANmG+nN88gPObBXJ+80BahHjXjcC/SQ/wDILcFDi81prFdKoOrgLTAcGtwU+LYQJWnfTSRHpk59NrSzPSRRocxeEiUqnsZJhzExTlYbYeTmbfR/Cs5kzb3QmZzFl/mMy8IvKKisktsNbiyS90kFto3c8tKCb/uOcclayT2yrMh/4tg+nXKoQ+0cH4e5WfhDGgdQjfthzA/E2xvLhoJzFpuTzy1WbeW7mfR0a0Y0i7sJPGwFti0nnt5z0s3Bpftm9Y+zAmDmlN13N9UfqqdLzSSqRXp7zLlrklr7lKZV1OJKy9lUhP2nHqifSkkpJJvpGnPylGpI5QIl1EpLYk74HdizAxyOk8jrqwJFphsYONh9NYtz+FcD8PLusciYfrcUmIRt3gtiXw6TXWIkwfXAJXvw9tR1T7HIkZeby3cj9f/R5DclY+AN7kssh9GhjwUdHf2OLWhV6RfrSP8KV9pB/tIv1oG+572pe0njE2O7T+m1XjfteimiXSj6+PLpbA5hD7u3PqpKeXzEgvXcRUREREGp7iIvhivBUXBLXEvPJtyMiv1kuX7khk4qzfyS6oahH7yjUO8KRfy2D6t7JmnYf5eZz0NTabwahujbm4UwQf/3qQV3/ew66ELG798Dd6RQfx+CXtK02I/3Eoldd+3sOSHVZ5K8OAi8+L4N7BrejY6AyUZqxrws+rXnmX3DTY85N1/7yrzlr3zjmh7ayZ+4nbTv21qo8u9ZAS6SIitWXd29Zt64so9m9eK10wTZO9SVms2J3Myt3JrNl3tNyXg2nfb2ds3+bc1Kc5IT7u1s6ApnDrIvj8Zti3DGbfABf/H/S6vcpzHUjO5u1f9vHVhiMUFFu1zQ0DooO9mWKfTZP0ZHK9mzBs3FuMDT2FxT7ritYXHUukX/Tsqb++tD66EunHlCa90w6dfluliXTNSBc5Ja+//jovvvgi8fHxdOnShVdffZVevXpVemxhYSHTpk3jww8/JCYmhrZt2/LCCy8wYsSxH1unTJnC1KlTy72ubdu27NhxGguZiUh5pgkLH4Pt8+Hm+RDSqrZ7VHf8NBkOrAA3H7h+lrXmT8bJ11P4+NcDPD1/Kw4TekUFMahtKB6udjxcbXi62vF0tZc8tuPpdmx/6T4/j5ovUuzuYue2gS24pkdT3ly2l/dX7Wfd/hRGvb6KSztF8s/hbYkK8Wbd/hRe/Xk3K3YnA2AzYGSXRkwc3IrW4dVYdLO+MIySWekvVV3eZef3UFxgJYrDOpzdPp5LSj+bxBr8P52s+uhS/yiRLiJSG/LSYeMsAMzed5/VUydl5rNqTzIrdiezak8y8Rl55Z4P8najd3QQmw6nEZuex4zFu3lj2V6u6taYWwZE0ybc1/rSMeZL+O5B+ONj+P4hayGZAQ+Cf+Ny7W2NTefNZXv5fnNc2aWt3ZsHcteglgxoFYJnzCr4cD4AnqPfwDOsBovY1AWthoJhtwLGlP0QFF3912YlWjP8QYn04wWU/MB0uon0vAzr7xwokS5yCubMmcOkSZN466236N27NzNmzGD48OHs3LmTsLCKtYSffPJJPvnkE9555x3atWvHokWLuPLKK1m9ejXdunUrO65jx44sXry47LGLi76SiDjVb+/B2jet+ytegivfqt3+1BWb5sCaN6z7V74FYe3A4ajyJcUOk2nfb+fdlfsBuKZ7E/59ZSfcXM5+eSd/T1cevbgdY/s2Z/qPu5j7xxEWbI5j0dZ42oT7si0uAwAXm8GV3Rpzz+BWRId4n/V+1gkdR1l/9nf/ZMWBHn4Vj1FZl+oJK0mCJ223fqQ7lc+qbKFRzUiX+kNRq4hIbfjjEyjIsn7hj74AkpKq/dKDR7NZst2aOeNiN7DbDFxsBnabreTWOHZrt/bnFxazbn8KK/cksyM+s1x7bi42ekUFMaB1CANahdAh0g+bzaCw2MHCLfG8u2Ifm46kM3v9YWavP8ygNqHcOiCaga1DMC5/FQKj4OdnYf07sP5daN4P87zR/O59Aa+sSWX5rmPvbXDbUO6+sBW9ooOsHflZ8M1E636PW6DFoNP6WGuVZyA062PVOt/9I/S+s/qvLS3rEtEJvILOTP/ORaWJ9NTTLO1SWh/dI6DqOpkiUs706dO5/fbbmTBhAgBvvfUWCxYs4P333+fRRx+tcPzHH3/ME088wSWXXALA3XffzeLFi3n55Zf55JNPyo5zcXEhIqKOLaotUl8cXgc/HPf3c/MXMGRyhYkODU7sRvj279b9C/4J7Uee9CU5BUXcP3sjP21LAOCfw9tyz4Uta/2qycYBnrx8bRduGxjN8z/sYPmuJLbFZeBmt3F1jybcPaglTYO8arWPtS78PAhuBUf3WFeLdr6m/PM5KbBvqXVfZV2qFtIGDBvkpkJWAviewv/fZaVdNCNd6g8l0kVEzjZHMawtKevS+85T+lV/6c5E7pv1B1n5RafVhY6N/BjQOoSBrULpERVYvg56CVe7jZFdGnFZ50g2HEzl3RX7WbQtnuW7kli+K4m24b7cOiCay/s+iEdYB1j9KhxaDQdXYRxcRWfT/v/s3Xd4VGXax/HvTHovpEBCIBB6RxAUECwoig2sq6wourgW1sK6vqDYC7qrrF3UXVFxVVSwoWJBQZDeey+BAGmQTtrMvH88mUBMTyb997muXHPmzDnPeSYngTN37nPf3GLvRSu3IVh7XM6t5/WmR9QfskEWPmHqXwfFwIVP1uo9NQpdRplA+q4fqhlId5Z1acJ/SKgLp5d2qW4GzOmK66PHuGZeIi1Afn4+a9euZerUqcXrrFYrI0eOZPny5WXuk5eXh7d3ybq/Pj4+LF26tMS63bt3ExUVhbe3N2effTbTp0+nXTv1LxCptawkU3rPXgDdr4CcVHNdsnJmzcrONRenNRel8yg496FKd0nKyOW299ewOSEdT3crL17bl8v7Nq5m8N3bBPL+rYNYtjeF9fFpXHVGNG2CGkPXpUbAWd7lt3+Z8i5/DKRv/xrshRDZG8I6N8wcmwoPHwjpYGrOJ22veiA9P/vUXaUKpEszokC6iNQNW6Hplp6RYOpne1TeUKfF2Pm9CR77hEDv66q82wfLD/B4UW3GXtGBdAjzx2a3U2hzYLM7KLQ7H+3Yipad6x0O6B0dxNDOYQyNa0UrZ73zKrBYLAyMDWVgbCgHU7OZ9fsBPl1ziJ2JmTw4dxP//GEHN53VmbZ93+GLEyvocfxnrnBbTi/rAc5z28h5bhth/yzwGAW9rjG1xD284cBSWPW2OcgVrzaPTOHOo+CnR03tzbws8PKv2n7FjUYVSC/BGfjOzzRZMDXN1i+uj65AukhVpaSkYLPZiIyMLLE+MjKy3Hrmo0aNYsaMGQwfPpy4uDgWLlzIvHnzsNlO9d4YPHgw7733Hl27duXo0aM88cQTnHPOOWzZsoWAgLL/H8jLyyMv71QzwIwMU77Abrdjr6QsgyvZ7XYcDke9HlMaRpM81/ZCLJ/dgiXzKI6wrjiueA0O/o714O841s7Ccc7fwauM8hbNnfP7kn4Ih7O5KBSXdCnrXO84lslt76/haHouob4evHXTAAa0D2m0Pw9ndQjlrKK7PRvrHBtE9yuw/vYvHHt+xnEyDbuHf/G5tmyZhwWw9xxbaXkfAUt4NyzH92JP2l71zytJO7ECDr9wHN7B9fp9bpL/hkuNuOpcV2d/BdJFxPVyM+DzCbCnqP5pmz5w5l8adk6NycqiOpUDbgFP3yrVZnxq/jbeW3YAgOsGtuXpMQ1Tm7F9Kz8ev6In91/YhU9WxfPesgMcTc/l3z/vKtrChw1eY7GcdS9tuttotf8b2PK5ua1y21fmyysQul1mstfBfB/izqv391InwruaLOq0eJNl3u3Syvc5cRBOHACrO7Q/u86n2KR4+IB/pLmNNO1gzQPpaQqki9SHl19+mYkTJ9KtWzcsFgtxcXFMmDCBd999t3ibSy65pHi5T58+DB48mPbt2/Ppp59y2223lTnu9OnTSzUoBUhOTiY3N7eMPeqG3W4nPT0dh8OB1Vr//wdL/WmK5zpg2XP4Hfwdu4cfqRf8G1v6SQjqR1hwR9zT9pH525vk9J3Q0NOsdwHLpuN3YAl2D19SR76CLSOvRHPRP57rFQfSeei7feTk22kf4sWLV3amrU8BSUmVNySVxiacsOAOuKftJ331p+R0uoz09HQs2clEHlgCQGrr4dh0bivl7xeDP5B7cB0ZHar2/fLet4pgoCCwA8fr+XvcFP8Nl5px1bnOzMysfKMiCqSLiGulxcNH10PStlPrlr8OAyaAtXT5kBbn2BaTrWxxgzMnVrp5Vl4h93y8nl92mIuP/7u4G3eM6NjgtRmDfDz464g4bh3Wge+3HGPW7/tJzcrnuoFtuensWIJ8PMyGsb3g3ClwdKMJqG+ZZ+5S2GgarRLYFi5sRrcaWyzQ5WKTab/rh6oF0p3Z6NEDmkdWvqsFtzeB9BMHIap/5duXxVkjXY1GRaosLCwMNzc3EhMTS6xPTEwst755eHg4X375Jbm5uaSmphIVFcWUKVPo2LFjuccJDg6mS5cu7Nmzp9xtpk6dyuTJk4ufZ2RkEBMTQ3h4OIGB9Zdha7fbsVgshIeH64N5M9fkzvWWuVg3zTLLY96kVdfT/jA/7F6Yfy8BW2fjf/5kcPNomDk2hE1zsG56zyyPmUmrbkNKbXL6uZ6z5jCPfr0Xm93B4A6hvDmuP8G+nvU7Z3EpS++rYckLBB3+Bf8ht5pzffArLA47jqgzaNVpQENPsWmIHQjrwCfrAN5lNBsvi2XzUQA8onuV2aC8LjW5f8Olxlx1rv9YmrAiCqSLiOscWg2f3ADZyeDfGq75L3wyDo7vg53fVampT7O38k3z2OPKSps+HUk7ya3vrWbHsUy83K38+/p+jO7dph4mWXUeblau6BvFFRXVjLRYIKqf+Rr5JBxaaYLqCWth1HTwbma3GXceZQLpu3+sWl3v4vrow+t+bk1RcDs4vOpUjcWaUI10kWrz9PRkwIABLFy4kDFjxgDmw8rChQuZNGlShft6e3sTHR1NQUEBc+fO5brryi9jlpWVxd69e7npppvK3cbLywsvr9IlyaxWa71/QLZYLA1yXKl/TeZcJ2471URz6H1Ye15Z8vW+f4Jfn8GSkYBl+1fQp+plBZu0oxth/n1m+ZwHSn9fTuMA/vnDLt5esh+Aq86I5rmr+jTI3Z/iYr2ugiUvYNm7EGtBlvm93vYlAJZeV2Fp7L/fjUVkDwAsyTtNQldVkrpSzB3LlvDuDfJ9bjL/hkutueJcV2df/USJiGtsmQvvXWqC6JG9YeJCiB0GZxbdpr3stYadX2OQnQKbPjPLZ91Z4aabDqdx5eu/s+NYJmH+Xsz569mNLoheI1arKV9y6Ytw+6LmWcokdhh4+ELmUTi2qeJtHQ7VR69MSHvzmHaw5mMUZ6QrkC5SHZMnT+add97h/fffZ/v27dx5551kZ2czYYIpDzF+/PgSzUhXrlzJvHnz2LdvH0uWLOHiiy/Gbrfz4IMPFm/zwAMPsHjxYg4cOMCyZcsYO3Ysbm5u3HDDDfX+/kSavNx000SzIAc6ngvnP1J6Gw9vGHy7WV72irn2cAWHw1z/b5wDOcddM+Yf7E/J5ov1h8nMLajejtmp8ImzuehFcF75zUVP5tt4+Nt9xUH0yRd24cVr+yqI3lxE9ICwLmDLh53fY81KhPgV5rWeYxt2bk1Jq07mjuq8DHN3cVUk7zSP4V3rbl4iDUAZ6SJSOw6H6Yb+6zPmeZeL4er/nmqyOOh2WPYqHFoBh1ZBzKCGm2tDWzMLbHkQdQa0PbPczRZsOcZ9c9aTW2CnW+sA/nPzQNqG+NbjRKVWPLzNh9md38GuH6FN3/K3Td5pypa4e1f4M9GiBbczjzXNSLcVmD9qgALpItV0/fXXk5yczKOPPsqxY8fo168fCxYsKG5AGh8fXyKDJzc3l2nTprFv3z78/f0ZPXo0s2fPJjg4uHibw4cPc8MNN5Camkp4eDjDhg1jxYoVhIeH1/fbE2na7Hb44g44vtf8/3b1u+BWzsf7gbfBkhlwbDPsW+Sa3jRb5sLcooQZixu0Oxu6jYauoyG0Q42HTUg7ybebjvDNxqNsTkgHoF2oL6/d2J8+bYMrH8BWCJ/fAunxENoRrnqn3PKS+5KzuOfj9Ww5koGnm4V/XtOXMf0rvmNUmhiLBXqMgd/+iWXbV3iHHcSCA2LOUsm/6nD3MsH0lJ2QtKPy711BLpwwf5wivFvdz0+kHimQLiI1V5gHX/8NNs0xz8+6Gy56quTFakBr6H0dbPjQBNSvn90wc21ohfmw+j9m+ay7yrwdzuFw8NbivTy3YAcOB4zoEs5rN/YnwLsF1bJsLjpfZALpu3+AEf8ofztnNnq7s0wAXkoLdmak1zCQnnEEHHZw8wQ/BepEqmvSpEnllnJZtGhRiecjRoxg27ZtZW7r9Mknn7hqaiJNl8Nh7rTyb13z//+XvmiuNdy84LoPwK9V+dv6hkL/m2DVW+Z6vLaB9Kwk+O4BsxwQBZlH4OBS8/XDQyYLuNulJqge1b/SMhBJmbl8t+ko32w6ytqDJ4rXu1ktBHq7E388h6vfXMbUS7ozYWhs2b2CHA6TnPDbC+b6ytMf/vQR+ASXsamDj1cd4qn52zhZYCPI2423bhrIWXFhtfmuSGPVcyz89k/YuxCflL1mXa+rGnZOTVFENxNIT94OnUdWvG3qHnP97R0M/vVbH12krimQLiI1k50Kc8ZB/HKThTL6X6fKuPzRkEkmkL79G1MvPbT8pmPN1ravIOuY+cDUo3SNxkKbg4e+2MKcNaYExfiz2/PoZT1wd9NtpU1S54vM4+E1pqSPXzkfzFQfvXKnZ6RXpeb8Hznrowe1NaWFREREGkriVpPJvWUunDhggkx9b4ABN0NE96qPs+dn+KXobtBLX4DoMyrf56w7YfU7sHchHNsCrXvV5B2Y/4u/nQwnT5hyjrf/ako97PjOBPYPLoOkbebrt3+ZQHvXS0y2euxwcDfNO09k57Ng6zG+2XiEFftSsRdVnLFYYFBsKJf3jeKSXq1xt1r5v7mbWLD1GE/O38ayPSm8eEk4QZl7zZ19yTtOfeWmn5rnmDfL/J6mZuUxZd5mftpmGikPiWvFlHOj6NUhtGbfD2n8IrpDWBcsKbvwOL4Lh8WKpceYhp5V0xPeHfjKZKRXJrlom/Bu1b92F2nkmkQg/fXXX+df//oXx44do2/fvrz66qsMGlR2eYiCggKmT5/O+++/T0JCAl27duX555/n4osvLrFdQkIC//d//8f3339PTk4OnTp1YtasWQwcOLA+3pJI05a8Cz661nwA8AqC696DuPPL3z6iO3S6EPb8BCveNEH3lsThgBVvmOUz/1L8AcIp42QB9325mzWHMrFa4JHLejBhaM1viZVGICgaWvc2t1Dv/gn6lVH7126DA0vMcodz63N2TUtQDGAx9V+zU8C/mlnlxfXRdfuuiIg0gNS9sGWeCZ4nbz/tBQvkpplG9CvfhLaDTEC951jw9Ct/vBMHYO5fAAcMuAXOGF+1eYR2gO5XwLYvYflrMHZmzd7P1i9McozVHca8AW4eEBILZ99lvnKOm4brO76FPQtNtvqa/8Ka/+Lw9CcxuB/xWW4cynRgc3hwPp4McfMkODCIztHhdIuJICggDTyOQIIpbfhm3B725K4h69BW4vYfJvDNk2XPzWI1CTtn3QU9rij18uJdyTzw2UaSM/PwdLPyj1FdmTCkPSkpyTX7XkjTYLGY36vFz5vn7YdCQGTDzqkpcv5hKqniO88A1UeXZq3RB9LnzJnD5MmTmTlzJoMHD+all15i1KhR7Ny5k4iI0reITJs2jQ8//JB33nmHbt268cMPPzB27FiWLVtG//79AThx4gRDhw7lvPPO4/vvvyc8PJzdu3cTEhJS329PpOnZ+yt8ejPkpZuSCzd+am7zqsyQv5lA+voP4dyp5hbTluLwajiyztx6O3BCiZf2p2Tzl/dXszc5G19PN169oT8XdNeFXbPQeVRRIP2HsgPpxzaZzCmvwIrrqLd07p4QGGWy3dIO1iCQ7sxIb+f6uYmIiJQl/bAJOG/+HI5uOLXezdPctdbrKvMYvxLWzoJdC+DwKvO1YCr0vtYE1f94fVBw0jQXPXkCogfAJf+s3ryG3mMC6Zs/M41Jg6pZDzw75VRJl3P+Dm36lN7GNxT6/sl8FeSaMis7v8W+4zus2Um0TlpKa2DQH8uW5wC7i77+wAJ0Bii6sazQYeUArbGGd6ND9wFYIrqZzNdWncoslZNbYOO573fw3rIDAHSO8OflP/WnR1Qgdru9et8DaZp6jCkOpDt6jkU50jXgDKQn7zQ9Giq60/P0jHSRZqbRB9JnzJjBxIkTmTDBBJ9mzpzJt99+y7vvvsuUKVNKbT979mwefvhhRo8eDcCdd97Jzz//zIsvvsiHH34IwPPPP09MTAyzZs0q3q9DB2V/ilTI4YA178J3/wCHDWIGm7qD5ZWs+KMOw09l6K75LwyvoG50I5FXaOPtxftYuieFey/ozJBONaybuOJN89jn2hLfryW7k7n7f+vIyC0kwt+DWRMG0TM6uPYTl8ahy8Ww5AWTjWUrMBlbp9tXVNal/dDym4OJEdzuVCC9bTXvHEs7rbSLiIhIXclKNkHqLXNN6UMnixt0HAG9rjF1w0+v2d15pPnKTIQN/4N1H5gGfUUZ3LTpZwLqva4BrwCYP9lcS/uGmbro7l5lTsXhcPDLjiR+3p5EXqGNQpuDApudApuDB7x60y1vM1+9/Sjv+d1Kgc1Ooc1Bvs2Op5uVO8+N48p+5QTYv3sAclIhoiec80Dl3xMPb+hyEbkdLuDmw9eRf3w1Z/gcZVisP70jPAnzskPhSRNwdz4W5EBh7ql19kKT8R5uguU5wZ2ZtjiHeZtT4DAM9w1nxuC+hPmX/b3YfjSD+z7ZwM7ETABuPrs9U0d3x9uj7Aak0kxFdMfR8XzsSdtV1qWmQjuC1QMKsk2iSkj78rctzkjvUj9zE6lHjfqTe35+PmvXrmXq1KnF66xWKyNHjmT58uVl7pOXl4e3d8m/Qvv4+LB06dLi519//TWjRo3i2muvZfHixURHR3PXXXcxceLEunkjIk2Zw2FuzVz8nLlwB5Mlc8Vr1WuOZLHAkHtg3kRY+Tac/bdG3Vxx2Z4Upn25hX0p2QCM++9K7hwRx/0XdsGjOnXL0xNMfXSAwXcC5sPNrN8P8PS327A7oH9MME9f3I7ubQJd/TakIUWfAb6tzAfO+BXQ4ZySrzsbjXYcUf9za2qC25ugxImD1d/XWdolOMa1cxIREXHaOAe+vNMkmzi1GwK9r4buV1Z+N1VAJJwzGYbeZ8q+rX0Pdsw32ezzN8AP06DdYNj7iylfcs275f6B+NDxHB7/eisLdySV+brDehH/9dzMeVnf8nDqxWThW+L1++ZswGZ3cNUZfxh/21cmy97iBmNeL1WqsDx2u4PJn25g5cE0Ary6M/32W+nWuubXvL7Aizc6GLzmEI99vZXfdiUz+uUlvPyn/pwdd6rhqt3u4N3f9/PPBTvJt9kJ8/fiX9f24byuanzYIlksOP48l+SkJCJ8VImgRtw8IKwLJG2FpO3lB9IL8+F4UVNXZaRLM9SoA+kpKSnYbDYiI0uWOYiMjGTHjrIbHIwaNYoZM2YwfPhw4uLiWLhwIfPmzcNmO3VRs2/fPt58800mT57MQw89xOrVq7nnnnvw9PTk5ptvLnPcvLw88vLyip9nZGQAYLfb6/V2MLvdjsPh0C1oLUCDn2uHA3Z9j2Xx81iObTKrPP1xnPN3GHKvCYxXd27dr8QS+BiWjCPYN30K/f9cuznaCmDTHHNra3UaNFUgOTOP6d/v4MsNRwAID/DizPYhfLflGG8s2svyvam8dH1fYkJ9KxnJsKx6B4vDhqP9MBwRPcjLL+DRr7bx2VoT3Lv6jGievKIHGSdS9Xvd7FiwdBqJZdMcHDsX4Gg/9NTvdUEulvjlWAB7+2HV/11qYSxBMVgAR9pBHNX8XlnSD5nvc0B0vX6fG/zfcKk3rjrX+lkRaaIcDvj1aRNEb90H+lxv6jFXt2wKmFIJHUeYr+xU2PgxrHsfUnaZIDrAyMfL/CN8XqGNd37bx6u/7CGv0I6Hm4UbBrUjOtgHDzcrHm4WPNysuFt7k7noCwKz9jF38B6O9rit6HUrX25I4KOV8Tzw2UbcrJZTmenZqfDt383ysPsgqn+V39LT327nu83H8HSz8tb4AbUKojtZLBauP7Md/WJCmPTROnYnZTHuPyu454LO/O38zqRk5fHAZxtZsjsFgJHdI3ju6j7lZq2LSBVFdDOB9OTt0PXisrc5vs/cSeLpD4E1+HdQpJFr1IH0mnj55ZeZOHEi3bp1w2KxEBcXx4QJE3j33XeLt7Hb7QwcOJBnn30WgP79+7NlyxZmzpxZbiB9+vTpPPHEE6XWJycnk5ubWzdvpgx2u5309HQcDgfWimpSSZPXYOfa4cDr4C/4r3kNjxTTSMTu4UtOr5vI7jsBh3cIJNe8IY9vjz8TuOKf2Je+RErUSJNVU0OBvz2O77aPsXsGkHrVZ9iCa16iye5w8OXmFN78PYHMPBsW4Oq+4fz17CgCvN0Z1t6X6T8fZP2hNEa/soQpF7Tnwq6V1HkvOEnEmllYgLRuN3BkfwJT5u9l89FsrBb42zlt+VP/CNKPp+j3upnyjjiLYOZg2/EdKf3+Vvx77XFkNWEFOdi8Q0kmDJLKzhoTw8cthCAgP3EPJ6rzvXI4iEgzgfRUmy+2evw+6//rlsNV5zozM9OFsxKRenNkHaTFg4cv3PoDeFYt2aJSfq1gyCQ4+25zV9bGjyGgjbnD8w+W7k7h0a9O3Ul5dsdWPDWmJ50iAsoe23IffHMPXfd/SNcrHiguPzewfQgOh4OPVx1i8qcbcbdaubRPG/j+QchONtmlI/6vym/hP0v28e7v+wF44bq+DImrYZnEcnRtHcBXk4by+Ndb+XTNYV76eTe/7UpmX0o2aTkFeHtYmXZpD8YNbofFoqrYIrUW7mw4WnZiKwAppzUa1e+dNEONOpAeFhaGm5sbiYmJJdYnJibSunXrMvcJDw/nyy+/JDc3l9TUVKKiopgyZQodO3Ys3qZNmzb06NGjxH7du3dn7ty55c5l6tSpTJ48ufh5RkYGMTExhIeHExhYf+UY7HY7FouF8PBwfTBv5ur9XDscsGsBlt+ex3J0o1nl4QeDJsLZk/D1bYVLPhYMvwvHujdxP7GXiIxNptFSTaz5L9ZtHwNgzc8k7Od7cNz2k2ncWE3bjmQw7astbDiUDkCvqECeGtOTvm2DTTPIQ6v40+BzOKdHO+77dCNrD57gke/3szm5gEcv646vZzn/lK57H2teGo7g9hyKupi/frSRo+m5BHi78+qf+jG8i7nNV7/XzVjgWBwLH8A9bR8R7tnYg9tjsVgIOboFAGvcCCIi1Vy2Utm9APA8eazMRuPlyknFWngSgFYdeoN7/ZWT0u91y+Gqc/3H0oQi0kRs/cI8drnYdUH001ks0H6I+fqDxIxcnv52O99sNHdShvl78chl3bmib1TFgeM+18MvT0NGUVPUPtcBYLVaeGZMbwptDj5be5h7P1lP1LGF9N/yuUl+GfNGuXXZ/+ibjUd4+tvtADw0uhtX9I2q5huvGl9Pd/55TV/OjmvFw19sYV18GgC9ogN56fr+dIrwr5PjirRIzrvAk7aVv01xfXSVdZHmqVEH0j09PRkwYAALFy5kzJgxgPmwsnDhQiZNmlThvt7e3kRHR1NQUMDcuXO57rrril8bOnQoO3fuLLH9rl27aN++/GYJXl5eeHmVvmiwWq31/gHZYrE0yHGl/tXLuXY4YNcPsGi6qcMIUBRAtwy5B/xaubaruW+IaZq0/DWsy18r/5awiuz/Db4vyoYZei9s/hxLyi4sX9xhGqBW8fuVlVfIv3/axazf92N3gL+XOw9c1IWbzo7FzWqBnOMwa7S5dc2/NTFDJjHnlpt5ZclRXv11D5+uOcyagyd49Yb+9IwKKjm4wwEr3wJgW8yfuO4/q8ktsNMx3I//jB9Ix/CSF/X6vW6mfEOg3dlwcCnWPT/BoNvNuT5g6qNbOp6LRee8cqGxAFiKssur+jtORoJ59I/EWhfBjUro97rlcMW51s+JSBPkcMDWL81yz7H1dthCm50Plh9kxk+7yMorxGqB8WfHMvmiLgR6e1Q+gIc3DL7dBNOXvWL6HxUF3q1WC89d3YdCu4Nf1u+k7e8PgQWTCR89oErzW743lb9/ahJzbhkSy8RzOlayR+2N7d+Wvm2Dmf79Drq3CWTSeZ3wdNe/qyIu5Qykp+wCuw2sZTTtTS7KVg/vWn/zEqlHjf5/lsmTJ/POO+/w/vvvs337du68806ys7OZMGECAOPHjy/RjHTlypXMmzePffv2sWTJEi6++GLsdjsPPvhg8Tb3338/K1as4Nlnn2XPnj189NFHvP3229x99931/v5EGkRhnmmCueM7eOc8+Ph6E0T38DNNju7bBBc+YW4prQtn3QlWd9NM6ciG6u17fB98Ot7Uoex9HYx8Aq7/0GSa7voeFj1b6RAOh4MFW44y8sXF/HepCaJf2qcNC/8+gluGdjBB9NwM+PAqE0QHyDoGP07D/ZU+TPb6ijk3dScy0It9ydmMfX0Zs37fj8PhOHWQ/YsheTv5Vl/+tLozuQV2RnQJ54u7hpYKoksz12WUedz9AwCWghw4vMas6zC8gSbVxARGm+ZmtjzISqx8e6f0Q+axnIZsIiIitZKw1vxf4+EHnS+sl0OuPXiCy1/7nSfnbyMrr5B+McF8PWkYj1/Rs2pBdKeBt5lyNMc2w75FJV5ys1r41zV9eCfic8It6ex1RPFb9F+qNOzOY5ncPnsN+TY7F/dszSOX9ai3siodw/15Z/xAJl/YRUF0kboQEms+dxfmwokDZW+jjHRp5hp1RjrA9ddfT3JyMo8++ijHjh2jX79+LFiwoLgBaXx8fIkMntzcXKZNm8a+ffvw9/dn9OjRzJ49m+Dg4OJtzjzzTL744gumTp3Kk08+SYcOHXjppZcYN25cfb89Edex28wtVllJkJMK2SmmlmFOStFyyqnlvIyS+3r4mhIuQ+4BP9fWLixTUFuTtbP5M1j+Go6r3iE1O59Dx3PIyC1kaFwr3N3KuPjNzYCPb4CTJyDqDLjiFZM9E30GXP4KfHE7/PYvaN0belxZ5qEPHc/hsa+38ssOUyu5XagvT17Zk3O7nlYuIj8HPv4THFkPvq1g/Ndmeem/TQfyX59hkOcrLOo/gYeODueLXfk88c02lu5O4V/X9iXUz5PCZW/iDnyUP4xMfPnr8I48eHE3E6SXlqXLKPjpETiwFPKz8Di2Fou9AIJiIKTmdf1bFDd307QtLd58Bbap2n7ppqkvQTF1NzcREWm5nGVdul4CHj4uG9Zud1Bgt2OzOyiwObDZHWTnFfL6r3v4ZLX5I3GQjwdTLunG9QNjsNbk+tI3FPr/GVa9DctehbjzSrzsvudHBmX8iB0rD+T/la0fbeHdm30Y1rn8zwrH0nO5ZdYqMnMLGdg+hJf+1E/XviLNidUNwjqbP8AlbYdWcSVftxVCym6zrIx0aaYafSAdYNKkSeWWclm0aFGJ5yNGjGDbtgrqNRW57LLLuOyyy1wxPZHGYd5E2FJ+nf9SLG7gHwG9r4Eh94J/eN3NDcjJL+TQ8ZPEH8/h0PEcCgpH81c+w7Z5LhdtPJe9+SHF244b3I5nxvYuOYDdBvNuN7eK+bc2JVxO/8DS93o4tgmWvwZf3AmtOkFkzxJDHEvPZczrv5OanY+Hm4U7RsRx93md8PY47Za0wnyT8X7wd1Nv/c/zoHUv89XvRvOBackMSNqKz8pXmOH+Nrd3Gctf9w1l4Q645OXfePocXy7YY7KPP+JiZlzXl6vOUEZsixXWBYLbQ9pB2LcYz4QVZn2HEWrAUx3B7YsC6Qeh3eCq7ZOmjHQREcFc37l5uPb/Xbu9xmVdlu9N5an520jOyisKlpugeaHNBNBPv8mxLNcNbMv/XdyNVv5Vq1derrPugtX/gb0L4dgWc70LJmll/n0AOM6+i7DEYeRvS+QvH6xm1i2DODuu9F2rGbkF3DJrFUfTc4kL9+M/Nw8seY0tIs1DRA8TSE/eDt3/EFNLO2juIHX3gaB2DTM/kTrWJALpIlIJuw12LjDL4d1MgNw3DPzCTYa5b6vTlsPMo3dw1esM10BC2klmLz/Iin2pHD6RQ0pW/h+28KKXR0+Gum3levt3TLeMo3WgN8cycvnfyniGxIVxaZ/Tsk5/ecqUbnHzMkH0sjJSRz4BiVvM7amf3AgTfzXZNoDN7uDeT9aTmp1Pl0h/3hg3oHTzIbvN/EFiz0/mP/8bP4Wofqdet7qZPzz0vAp2LYAlL2BJWEv3+I9Z7Pk53/uM4PnM0Rz+4Qes7g6WWgbw/O1X0b9dCNKCWSymAdmqt7Ds/hGvhLVmvcq6VE9w0cV42sGq7+Ms7RKsC3kRkRZr/2/w8Y3Q7VK46i3XjZuwxjTr9PSHTiOrvNuHKw7y+NdbKbRXEi3/A6sFekYF8ejlPTgzNrS6sy1baAfofgVs+9Iko4ydadb/8DBkHoVWnXA7fxqvWTy588N1/LIjiVvfW837tw5iUIdTc8gvtHPH7LXsOJZJeIAX700YRLCvp2vmKCKNi7NkS9KO0q8V10fvUqexBpGGpEC6SHOQtA0KssEzAO5cVnbTj3rgcDhYc/AEs37fzw9bE7H94QNCkI8HMaE+tAv1JSbElzzbXbD2bv7is5ib730dL/8Q/rlgB28s2suUeZvo0zaImFBf2PSZKasCcOXr0LacRkdu7nDNLHj7XFOz7fMJMG4uuLnzysLdrNx/HD9PN2b+eUDpOuV2O3xzj/kgYfWAP30I7c8u+zhWK3QbbW7j3bcIlryI5cASRtt/5mKvXyhwmIuGHmP/j1AF0QWgy0Ww6i3Y+S3uOcfNOgXSqye4qCH4iRoE0pWRLiLSMh3bAp+Mg/xM2DQHRjxYuhRBTW2ZZx67jjbNOytRYLPz5DfbmL3C/D92ed8o7hjREQ83K25WCx5WK+5uFtytFtzdTlu2WnG3WmpWvqUqhhRd/27+DM5/xHyu2PA/wGKuuz188ALeGHcGEz9Yw5LdKUyYtYoPbhvEgPah2O0O/vH5RpbtTcXP041Zt5xprt9FpHlyNhxN2l76NWcgPUxlXaT5UiBdpDk4vNo8Rp/RIEH0/EI78zcdYdbvB9ickF68fkhcK64bGEOnCH9iQn0J8vlDAyR7V4h/FWvyDrw2zoah93D/hV1YsS+VdfFp/O3j9Xx+hRfuXxeVdhp2P/S5tuLJ+IbCDR/Dfy40Qe6fH2NZp/t55RdTq+2Zsb1LB9EdDvjxYVj/IViscM1/q5ZZZLGYepJx50H8SljyAtbdP+JlseMI70Zo74sqH0NahvbDwMMPS04qAI6wLliqWudbjOKM9Piq76Ma6SIijd+3D5hr2bEzTwVoXCH9MPzv2qLeQBbAYcqYXDy99mPb7Sb4DFUq65KWk89d/1vHsr3mOuAfo7py17lx9daEs0JtB0D7oaas4W//gt0/mvVn3QntzirezNvDjXfGD+S291fz+55Ubn53NR/+ZTDfbznKVxuO4G618OafB9ArOqiB3oiI1Avnv9Opu01NdLfTworFjUYVSJfmS/daiDQHh4oC6TGD6vWwKVl5vPzzboY+/wuTP93I5oR0PN2tXD8whgX3ncNHE89iTP9oekUHlQ6ig8nsPrsoSL5yJtgK8HCz8soN/Qn0dufIof2c/OB60xW8yyVw/qNVm1hkTxj7plle/ho/fPQSDoepJzmmf3Tp7Rc9ByveMMtXvl5uo9IKtRsM4z6Dv/4GQ+/DctU7qn8tp3h4Q8dzTz1XNnr1hRRlpFe1tEvBSdNwGZSRLiLSWO36EVa/A0c3wKzRcGSDa8Y9mQYfXgOZR0wZgqv/Y9av/xDysmo//qGVpvSJVyDEnV/hprsTM7ny9d9ZtjcVX0833r5pAHef16lxBNGdhvzNPK6dBRkJphn6+Y+U2szbw43/jD+TwR1Cycor5Pq3lvPW4n0APHd1H4Z3qdueSyLSCAS1Aw9fsOXD8X0lXysOpHer/3mJ1BMF0kWaA2dGetsz6+VwW4+k88BnGxky/Rf+/fMukjPziAz04oGLurB8yvk8f00furUOrNpgfa4Dvwhz0b71CwDahvjywtguvO35IgEFKWQHdYar3q5enbUeV+I45wEAHiqcyehWR3n8ip6lt1v2Gix+zixf8k/TULQ22vSFC5+ANn1qN440P11O3aHgiFUgvdqcGenph00/g8qkJ5hHT3/wUYklEZFGpzAffphqlj394eRxeP8KOLSqluPmmXIuydshoA2M+9z0t2nVyWSnb/y49nMvumatrKzLrzuSGPvGMg6m5tA2xId5dw3hop6ta398V+s8yjRHB8ACY94Az7LLs/h4uvHuLWcysH0IeYV2AB64qAvXDNAfrUVaBKv1VMZ50rZT6+12SNlllhVIl2ZMpV1Emrqc4+a2KoDogVXeLbfAxvdbjpJxshCLxdzwarFYipYtp60rWg8U2Bx8vTGBFfuOF4/TNyaYW4fGckmvNni61+Bvc+5eMPh2+OVpWPYK9DalWy7a8yxY93HC4c/Nmffxn3xPIiovP1nCW25/opNtISPd1vMyL+CRfwV4RpzaYO37pqQLwPnTYPBfqz9/karqPAqHxc2UD2o/tKFn0/QEtDH9C+wFJguwsizz9KISMEFtdXeIiEhjtOptSN1jEir+uhg+vw3il8EHY+DGT2p295bdDl/cAQeXmt5B4z6D4KLyXoNuh+8fNMc98y81/7/BboNtX5nlXleVuYnD4eCdJfuY/v0OHA4Y1CGUN8edQSt/r5ods65ZrXDuVNNfaOg90H5IhZv7ebkza8KZPPPtdmLD/Pjr8I71NFERaRQiesCR9adqooPpTVSQA26eEBLbYFMTqWsKpIs0dQlrzWNoHPi1qtIuuQU2bpm1qkRAvDrcrBZG927DhKGxnOGKZpoDb4MlM+DYZti/2PynvPlTHFZ3nvN9iE0pIdw3ZwOzbxuMWxUbLa09eIJ//bgbX/vd/B74NIHZB+DT8TD+a3D3hC1z4Zt7zcZD7oGi7HWROhPYBscNc0hLzyDYN7ShZ9P0WN1MUPzEftNwtNJAuuqji4g0WlnJsPh5s3zBoxAYBX/+3GSS7/vV1Da//kPofGH1xv3pEdg671Tj+Na9T73W9wZY+JTJmNz3a6UlWcoVvwKyjoFXEHQ8r9TLuQU2HvpiM/PWmTujbhgUwxNX9KpZwkl96nWVKUNXxbu4Arw9eO5q3YEp0iI5M85PbzjqLOvSqnPJuukizYx+ukWaumqWdckrtPHX2WtZse84/l7uDO8ShsNh+m06cBQ9mkyaEsuYbXpFB/Lns9rTJsjHde/BNxT6/9lkCM2fXFxrzXLJ89we+ye+eXUpy/am8uaiPUw6v3Olw6XnFHDPx+ux2R2c27cTASM/g/9cAPHLYcH/QZeLYd7tgAMG3goXPqmMVakfnS4gPympoWfRdIW0N4H0tHigkqz+tEPmUfXRRUQan1+fNmVW2vSDfuPMOk8/uOETkxW98zv4+Aa45l3ocUXVxlzxJix/zSyPeaNkbxIA70BTwm/VW7DyrZoH0p1lXbpfZpIzTpOUmctfZ69lfXwablYLj1zanZuHxDaueugV0R/6RaQqnA1HSwTSi7LT1WhUmjkF0kWaOmcdyZjKA+mFNjv3fryBxbuS8fawMmvCmZwZ20gumM+6E1a9A8f3mucDb4Uz/0Ic8OSVvXjgs43M+GkXgzu2qnDODoeDf3y+kYS0k7Rv5cuzY3th8faAq/8LH10Ha96FdR+AvdCUkRn9ooLoIk2Fs056VRqOOjPSg5WRLiLSqBzdZMrrAVz8XMkeOB7ecN0HJuFh6zz47BYY8yb0vb7iMbd+CQuK6q2PfNz04CnLoNtNIH3XDyZxI7SaJUlOL+vSc2yJl7YkpDPxgzUcTc8l0NudN8YNYFjnsOqNLyLSFDgD6cf3mn4X7p5qNCotRiO/v0xEKmS3nyrtUklGut3u4B+fb2LB1mN4ull5Z/zAxhNEB/NBxplxFHuOafxZ5JoBbbmqfzR2B9zz8XrScvLLHeaD5Qf5cVsiHm4WXrvhDAK8PcwLXS6CCx4xy/ZC0xxqzJvVa2AqIg2rOJAeX/m26c6MdAXSRUQaDYcDFkwBHNDramh/dult3Dzg6v+YTHWHDb74K6yZVf6YB5edutPwzL/A0PvK3zasE3S60Gy76j/Vn//BZZCdBN7B0GEEqVl5LNhyjCe+2co1M5dxND2XjuF+fDVpmILoItJ8BUaDV6D5XJ26x6xTRrq0EMpIF2nKUnaa22I9fCGiZ7mbORwOHv5yC1+sT8DNauH1cWdwTufwepxoFV36b9NYqve15kPUaZ4c04v1h9LYn5LNA59t4p3xA0rdJrslIZ1nvjW3l029pDu92waVHH/YZLAVQk6qKefyh2OISCMXHGseT1QlI12BdBGRRmfbl3Dwd3D3gZFPlL+d1Q2ueM1c465+B+bfBwUn4ey7Sm6XtAM+/hPY8qDbZSYRo7I7DQf/Ffb8BOtnw3kPgZd/laefvf4z/IA1vkOZ8spy9iRllXh9RJdwXrmhP0E+usYUkWbMYjEB88OrIXm7yVBXRrq0EAqki9SXhHXmPxtPP9eN6ayPHnVGuQ09HA4HT3+7nY9XxWOxwL+v78eFPSJdNwdX8mtlMonK4O/lzqs39OeqN5bx8/ZE3l92gFuGdih+PSuvkEkfrSPfZmdk90gmDI0tPYjFAuf+Xx1NXkTqXFUz0u12SDdN3lQjXUSkkSg4CT8+apaH3Vd56S2rFUb/Czx94feX4YepUJANw/9hXs84Cv+7BnLToe0gk8Vudat8HnEXQGicKUmw6ZNyrz0dDgf7UrJZc+AEqw4cZ+2+ZD4/+QV+FnjlWC/22E0QvUukP4M6hDIkLoxRPVvjZlXJQBFpASK6m3hE0nZodxTyM8HiVv2SWSJNjALpIvVh1Tvw3QPQ/ya48jXXjVuF+uj//mkX/126H4Dnr+rDFX2jXHf8etYrOoiHRnfj8W+28ex3OxgYG0qv6CCTcf/FZg6k5hAV5M0L1/ZpOk2dRKTqQtqbx4zDYCso/66SrESwF5iL+YA29Tc/EREp37LXID0eAtvCkHuqto/FYjLXPfxg0bPwy9OQnwPD7of/XWvuPmrVyTQp9fCp2phWq6mVvuD/YOXbMPC24iz2QpudpXtS+GpDAot3JnE8p7B4t7OtWwn3zCDDEkC3sy7jz3ERnBkbSoifZ3lHEhFpvsJPazjqLOvSKq5UE2aR5kaBdJG6lnPcXPQDbP8GLnup3Ozxaju8xjyWUx/9zUV7eeUXU7Ps8ct7cN2ZTb/Ewc1DYvl9byo/bUvkbx+v55u/DeO7TUf5asMR3KwWXrmhP8G++s9bpFnyiwA3L3MLf0YChMSWvZ2zrEtglOv+vRURkZpLT4ClM8zyhU+YLPOqct5R6OkLP04z42z8GDKPgl84jPvc3NVYHf1uhF+egpSdOPYtYoNHP77acIT5m46QknWqF4+nu5V+McEM7hDKDUnfwB4I7D+Wh67oU73jiYg0NxFFJVySd5xW1kX10aX506dLkbr2278gN80s56ZBwhpod1btx81NP/WX3zIC6R8sP8DzC8zrD17ctUQZlKbMYrHwr2v6MPrlJexPyeau/61j1f5UACZf2IWBjamBqoi4ltVqyruk7jZ10isLpKs+uohI4/Dz41CQAzFnmSajNTHkb6Zm+reTTRDdww/GfQahNbjG9Q4kveu1BG2exbKPnmFc9v3FL4X6eXJp79ac3dab8/rE4uPpYXrsvPij2aDn2JrNX0SkOYnoYR6P74OjG82y6qNLC6BAukhdStkDq942y85ajLt/ck0gPWEt4IDg9uAfUeKlT9cc4tGvtgLwt/M7cde5nWp/vEYk2NeTV27oz/Vvr+C3XckAnNM5jDtHxDXwzESkzjkD6RXVSU9zBtJVH11EpFaSdsDCJ6H75dD3T5U38izLoVWw+VPAApc8V7MxnM68DbyDYOVbplFoVP9q7Z6Umcv8jUf5akMCmQk9+cULzi5cQ2ePFHr07MOYftEM6xyGmwWSkpLwci+quX5giWlW7xMKscNrPn8RkebCPxK8g02y4M7vzToF0qUFUCBdpC799CjYC6HzRdDzKvjyDtj9I1zwSO3HLqesyzcbjzBl7iYAbh3agckXdqn9sRqhgbGh3D+yMy/8uIvwAC9mXNcPq5o7iTR/zjrpFQXS0w+bx8oa2YmISPnsNpg3EY5tgp3fwpa5cPnLEBRdjTHs8H1Ro/f+46od+C5T72vMVxXlF9r5bvNR5q47zO97UrA7zHo3azSbvM+kT+5qvjt7Bx6jbz5t2vaSg2z9wjz2uEIlw0REwPxRNKI7xC8/dQe+SrtIC6CrABGAY1tMzd3oAa4bc/9v5kOHxQ0ufAp8i0qOHNsEmYkQEFm78YsbjQ4qXvXztkTun7MBuwNuGBTDI5d1b9ZNN+86txPtWvnRKyqQ8ACvhp6OiNSH4HbmMe1g+dukKyNdRKTW1rxrrls9/ExiyJ6f4I2zYNQz0P+mqmWWb/oEjqwDzwA4/9G6n/NpcgtsfLbmEDMX7yMh7WTx+n4xwYzpF8VlfaMIO+IOH12Lx8b/wQUPg5d/6YFsBabPEaisi4jI6ZyBdACL1TR/FmnmFEgXyUqG/14EhSfhpi+h44jaj2m3wQ8PmeWBE0414ojqD0fWw56fTVZOTTkccHi1WW47EDBB9Lv+t45Cu4Mx/aJ4ekzvZh1EB7BaLVzRN6qhpyEi9Sm4GhnpQe3qfj4iIs1Rdoppxgkw8nFzffzV3eb68+u/mQzty1+p+M6fvExTGx1gxD9qn0RSRTn5hXy0Mp63f9tHUmYeAGH+Xvz5rHaM6RdNbJjfqY07jYTQjqbG76Y5pnTMH+3/DU4eB98waD+sXt6DiEiTEN791HJILHj4NNhUROqLtaEnINLgVs6Egmxw2OHzWyHjSO3H3PgxHNsMXkFw7tRT6ztdaB53/1i78VP3mNun3L057BXHHbPX8pcP1pBvszOqZyQvXNsXN5U5EZHmyBlIP1FBRrpqpIuI1M7Pj5nG9pG9YeCt5nb9W3+Ai54Gd2/Y+4vJTl/zrknwKMuSFyErEUI6wOA76nzKmbkFvP7rHoY9/ytPf7udpMw82gR588QVPVn6f+dx38guJYPoYJpYD7rdLK96u+z3orIuIiJlizitJrrqo0sLoUC6tGx5WbD6HbPsEwo5KfDZLeYWztqMubAog2f4A+AXduq1zkWB9H2/gq2w5scoykZP8O3KBS8tZ8HWY7hZLUwYGssrN/TH3U2/2iLSTDlLu2QehcK80q/npkNeullWIF1EpPoOrYb1H5rlS184FTy2usGQv8Edv0PMWZCfBfPvhw+ugBMHSo5xfD8sf90sj3oW3OuuBF9aTj7//mkXQ5/7hX/9sJPj2fm0C/Xluat6s/gf53HzkFi8PdzKH6DfjeDpD8k7YP/ikq+prIuISPkiepxaVn10aSEUbZOWbd37JujSqhPc9hN4BcKhlaZJaE0tewWyjpmsycF/Lfla9ADwCTHHdJZmqSaHw0H8JnORP/94W/IK7ZzVMZRv7xnGY5f3xMu9gg8KIiJNnV8YePgCjlMlXE7nXOcTUnatWxERKZ/dBt/93Sz3vRHanVV6m7BOMOE7uPg5cPcxpU/eGAKr3jHNRQF+nAa2fOh4HnS9pE6mmpKVx3Pf72Doc7/w8sLdZOQWEhfux4zr+vLL30fwp0Ht8HSvwsdd7yDoe4NZXvlWydf2LzZ3gfqFQ/uhLn8PIiJNml+YKXsFEKZAurQMujdNWq7C/FOZMkP+Zj4UjJ0Jn9wIK96AtmdCr6uqN2Z6Avz+ilm+8MnS2TdWN4i7ALZ8bsq7tD+7WsPvScriiW+2MvXgcrDCAe8evHZFfy7t3abZ10MXEQFMc7vgdiZzMO0gtIor+XpxffQK6vaKiEjZ1s6CoxtNecILnyh/O6sbnHUndL7I1Ew/+Dt89wBs/RL6Xg875oPFDS6eXmlT0oOp2azcfxyHw4HDAQ4oejz13Flyxfna/pRsPlkdT26BCdx3ax3A387vzMW9WtesvOGg281dqju/N9n1RT02LNu+NK/3uNK8ZxERKan3NbD5c9f0mhNpAhRIl5Zry+eQkQD+kdDnT2Zdt0th6H3w+0vmQ0Fkz+rdorTwSdO0tN3Z5oK7LJ0vNMfe8xOMfKxKw2bmFvDKwt3M+v0AnvaTdPUyTfYevXM8Pq3UbFNEWpjg9iaQXladdGcTUgXSRUSqJzvFXMsCnP8w+EdUvk+rOLh5Pqz5L/z0GBxcar7ANO6M6F7h7sez87n6zWWkZOXXaMp92wYx6fzOXNAtAmtt+gOFdzHJLnsXmsz6C58yGfU75pvXVdZFRKRslzwPo6abnhMiLYAC6dIy2e2nMsfPuhM8vE+9dv4jkLAWDiyBOTfBxF+qVh4gYR1s+sQsj3qm/OybuAsAi2lGmnEUAtuUP02Hg3nrEnj+h50kZ5pawLe3P45bogMC2+LTql0V3qyISDPjrJPuDJqfzpmRHqxAuohItfz8+GkNRm+r+n5WKwyaaJJFvv6bKfXiEwLnTq101ye/2UpKVj6tA73pGRVYdPlswWIB55W0WS5aV7Ts5WFlTL9ozukc5rq7Mgf/1QTS18+GEVPwPLwcS266SbppV727SEVEWhQF0aUFUSBdWqbdP0LydvAMgAETSr7m5g7XvAszz4GUnfDNPXD1fyu+LdXhgB8eNst9rje10MvjHw5R/eHIOtjzM5xxU5mbbU5IZ9q8nWw+mg1AbCtfHru8J+clz4ZEoO3AarxhEZFmJKS9eSwzkH7IPKrRqIhI1R1abQLIULLBaHWExML4r00wOjgWfEMr3PznbYl8ueEIVgvMvGkA/WKCq39MV+p0IYR0gBP7YfOn+OxdYtarrIuIiIgU0Z+NpGX6/SXzOHAC+ASXft0/Aq57H6zusGUurHq74vG2fw3xy0zDpQuq0Ki080Xmcc9PpV7akpDO7R+s4crXl7H5aDa+nm48eHFXfrh/OOd1izAfdABiBlV+HBGR5qg4I72M0i6qkS4iUj1VaTBaVRYLdBppeg9VIP1kAQ9/uRmAied0bPggOhRl1t8OgGXlTLwO/GzWq6yLiIiIFFEgXVqe+JUQvxysHnDWXeVv1+4sUx8RTLb5oVVlb1eYBz8VBc+H/K1qWZCdLzSPexeBrQCAzYfT+cv7q7ns1aX8uC0RiwVGdQvlp/vP4a5zO+Hl7mYy3w8XBdLbnln5cUREmqPgCjLS05wZ6Qqki4hUydr3qtZg1IWe+XYbiRl5dAzz4/4Lu9TLMauk/zjw8MOSsgtrfiYO/9YQU4s/LIiIiEizotIu0vL8/rJ57Ht9hfXJAVM//dBK2PYlfHoz3LEE/MJKbrPqbThxwNRPHHpv1eYQ1R98QuHkcXav/YXp20L5ZUcSAFYLXN43irtGdCTIcpKIIJ9T+504ADkp4OYJbfpW7VgiIs2NMyM9KxEKToJH0b+TtgLIPFq0jQLpIiKVyk6tfoPRWvptVzKfrjmMxQL/vKYP3h6NqGyKdxD0uwFW/8c873Glav+KiIhIMV0VSMuSvBN2fmuWh1Qh6G2xwJWvQavOkHkEPr/V3P7qlJ0Ki/9lls9/pGpNSQGsbhyPGg7AT19/yC87krBaYGz/aH6aPIKX/9SfzpEBpfdzZqO37gPuXlU7lohIc+MTYnpcwKkMdICMBMABbl7gG1bmriIicpqFj0NuWvUbjNZQVl4hU+eZki43nx3LwNiK66g3iKLyLgCOHmMabh4iIiLS6CiQLi3LslfMY9dLIbyKt5F6BcD1s8HDF/Yvhl+fPfXaoumQlw6te0O/G6s03NqDx7npvyt5YnsUAOdaN3L1GW35efII/n19P+LCKwjGH1Z9dBERLJbTGo6eVie9uD56W2UQiohU5vAaWPeBWa5pg9Fqeu777SSknSQm1IcHL+5a58erkfCu2EdNJ2vAXRAzuKFnIyIiIo2ISrtI47f5c9Mc9ILHTtUWr4mMI7Bxjlkedl/19o3oDpe/AvP+AkteMPXJQzvAmnfN6xc9A9aKb0tdfeA4L/+8m6V7UgAIs/bFjoUe1oO8eHE4BFYhm91Zp73twOrNX0SkuQluB4lbSgbSi+ujV6FXhYhIS2a3wbcuajBaRcv3pvLhCtPb4vmr+uDr2Yg/ig6+g6ykJHwtloaeiYiIiDQiSteSxi1hHXx5JxzbDJ+Mg/2/1XysFW+AvQDaDalZRnefa0/d6vnF7fD1PeCwQdfR0HFEubttO5LBLbNWce3M5Szdk4K71cKfzoxh3t+vwBo9wGy05+fKj5+fY4JGAG2VkS4iLZyz4eiJMjLSVR9dRKRia9+DoxvqrcFoTn4h/zd3EwA3Dm7HkE4qvyUiIiJNTyNOA5AW7+QJ+OxmsOWbi/y8dPj4Bhj/VfUzsk+mwZr3zHJVG4KW5aJnTHA/YQ0cWgFWd7jwqTI3PXQ8hxk/7eLLDQk4HOButXDtwLbcdW4nYkJ9zUadLzRj7f4Jzhhf8bGPbgB7Ifi3VraliIiz4Wha/Kl16UXLQQqki4iUqwEajL7wwy7ij+cQFeTN1Eu61fnxREREROqCMtKlcXI44Mu7TYAkuD38bQ10GAH5WfDh1ZC4tXrjrXkX8jMhvDt0vqjm83L3hOveB99W5vmZEyGsU4lNUrPyeOKbrVzw4mK+WG+C6Jf1acPPk0cw/ao+p4LoAJ2KStXsWwS2goqP7ayP3nagqQ8sItKSFddIPz2Q7qyRrkC6iEi56rnB6NqDx5m1bD8Az17VmwBvjzo/poiIiEhdUEa6NE7LX4Od34JbUeDaPwL+9BHMHguHV8EHY+DWBdAqrvKxCnJhxZtmeei9tW9AF9QWbvoSdsyHIfcUr87OK+S/S/fz9m/7yMorNIfr1IopF3end9ugsseK6g++YZCTAodWQuyw8o/rrI+uRqMiIqdlpKtGuohIldjtsH8RrJttntdDg9HcAhv/+HwTDgdcM6At53at++x3ERERkbqiQLo0PvEr4KfHzPLFz5lgM4CXP4z7FN67HBI3FwXTv688YLLxY8hOgsBo6HW1a+bYpo/5Agpsdj5ZFc/LC/eQkpUHQM+oQKZc0o1zOodXPI7VCp0ugE1zTHmX8gLpDsdpGelnuuY9iIg0Zc5Aek4q5GWBp59qpIuIONkKIWUnHN1Y9LUJjm0yd3dCvTUYfenn3exLziYiwItHLu1R58cTERERqUsKpEvjkp0Cn00wTTx7XQMDby35uk8I3PQFzLoYUvfAB1fChAXgX07A2m6DZa+a5bPvNqVZXMRud/Dt5qO8+ONODqTmANAu1JcHRnXlst5tsFqrWH6l04WnAunlNXtKPwxZiaYme5t+rnkDIiJNmXcQeAeb8gRp8ebOpcKT5rXA6IacmYhI/SrIhaStJljuDJwnbgVbXult3b2hw3C4qOweP6608VAab/+2F4BnxvYmyFclXURERKRpUyBdGg+7DeZNhMwjENYFLn+57Frg/uGm4ei7RcH0D8fCzfPBJ7j0tjvmw/G9Jthyxs21nmJmbgHbj2ay9Ug689YlsDkhHYAwf0/+dn5nbhjUDk/3apaO6XQBYDEfgNITIKiMANDhorIukb3A07f06yIiLVFIeziaZgLpzoCRf2tw92rQaYmI1Au7Heb8GXb/YBrS/5FnQNFdlH3NV+s+5hq7jsu5AOQV2njw803YHXBF3ygu7BFZ58cUERERqWsKpEvjseRF2PsLuPvAte+bUi7lCWp7Kph+bDN8dJ3JVPf0O7WNwwFLXzLLZ/6l4vHKkJKVx9YjGWw9ks7WBPPozDx38vN0Y+LwjvzlnI74e9Xw18k31DQQPbwa9vwEA24pvc3hNeZR9dFFRE4JbmcyL9MOgi3frFN9dBFpKdIOmp5CAD6hpwLmzq+QDrXvDVRDr/+6l52JmbTy8+TxK3o2yBxEREREXE2BdGkc9i2CX581y5fNgMgq1FBsFWeC5++NNo06PxkHN845lYl4YCkcWWduYR18R4VDZeQWsGxPqgmaFwXPEzPKuB0WaB3oTc+oQPrGBHPj4HaE+bsg87HThSaQvrucQLqz0ajqo4uInBLc3jymxZu7mkD10UWk5cg8Zh6D28O9G8u+k7MBbDuSwRu/7gHgySt7EernutKKIiIiIg1JgXRpeBlHYe5fAAf0vwn63Vj1fVv3gnFzTa30fb/C57eabHY3d/j9JbNNv3Hl11AH0k8WMPrlJSSknSyx3mKBDq386BEVSM+oIHpGBdIzKpBWrgic/1HnC2HRs7BvMRTml6zlXphnmkOBAukiIqdzBtJPHACH3SwrI11EWorMo+YxMKpRBNFzC2z8vieFfy7YSaHdwSW9WnNpnzYNPS0RERERl1EgXRqWrRDm3gbZyRDZG0b/q/pjxJwJN3wM/7vW1ET/6m7TWHTPz2CxwpBJFe7+6sLdJKSdJMzfk/O6RtAzKpBe0UF0axNY83It1dWmH/iFm+/DoRWmCZTT0Y2mZIFvGITE1s98RESaguB25jEt/lQQKahdw81HRKQ+ZSWax4DWDTaF9JMF/LojiR+3HWPRzmRy8s3dQcG+HjxxpUq6iIiISPPSMEXzqun1118nNjYWb29vBg8ezKpVq8rdtqCggCeffJK4uDi8vb3p27cvCxYsKHf75557DovFwn333VcHM5dK/fo0HPzdNEO67n3w8KnZOB1HwLXvgcUNNn0Cs8eY9T2uhNCO5e62LzmL95YdAOCFa/vyr2v7csvQDgyMDa2/IDqY+pVxF5jl3T+VfC2hqD562zMbRbaRiEijEXJaaZe0Q2ZZGeki0lI4M9L96zeQnpiRy+wVB7npvysZ8NRP3DdnA99tPkZOvo02Qd7cfHZ7Pr9jCBEB3vU6LxEREZG61ugz0ufMmcPkyZOZOXMmgwcP5qWXXmLUqFHs3LmTiIiIUttPmzaNDz/8kHfeeYdu3brxww8/MHbsWJYtW0b//v1LbLt69Wreeust+vTpU19vR063cwEs/bdZvvI1U/O8NrqNhrFvwbyJkJNq1g29t8Jdnv1uO4V2B+d1DefcrqV/nupV5wvNHwH2/AwXPVW82lLcaFRlXURESggqqoeemwYpu8yyaqSLSEvhrJFeDxnpe5Oz+GHrMX7cmsiGQ2klXusc4c+onq25qGckvaODsCjxQ0RERJqpRh9InzFjBhMnTmTChAkAzJw5k2+//ZZ3332XKVOmlNp+9uzZPPzww4wePRqAO++8k59//pkXX3yRDz/8sHi7rKwsxo0bxzvvvMPTTz9dP29GTkmLhy/+apYH3wE9x7hm3D7XQn4mzJ8MXUZBVP9yN12yO5mftyfhbrUw7bIqNDeta3Hnm1I0Sdsg/TAERJn1h9VoVESkTF7+puxVTgoU5Jh1ykgXkZaiOJBed3XINx5K4x+fb2RXYlaJ9f3bBZvgeY9IOob719nxRURERBqTRh1Iz8/PZ+3atUydOrV4ndVqZeTIkSxfvrzMffLy8vD2LnkboY+PD0uXLi2x7u677+bSSy9l5MiRVQqk5+XlkZeXV/w8IyMDALvdjt1ur/J7qi273Y7D4ajXY7qcLR/Lp7dgyU3DETUAx8gnwJXv54xbTJkUv/Byxy202Xnqm20A3HR2ezq08m3476l3MJboAVgOr8a+60fs/cdjyTqGJSMBh8WKo00/136fpNFoFr/XUiU6165nCW6HJScFAIdnAA7PwEbxb6XOdcvhqnOtnxWptjrOSI9PzeHW91aTmp2Ph5uFs+PCuKhHJBf1iCQiUGVbREREpOVp1IH0lJQUbDYbkZGRJdZHRkayY8eOMvcZNWoUM2bMYPjw4cTFxbFw4ULmzZuHzWYr3uaTTz5h3bp1rF69uspzmT59Ok888USp9cnJyeTm5lZ5nNqy2+2kp6fjcDiwWptEiftSAn5/Br8ja7F7BZFy3r+wp6bVwVG8IC8DyCjz1c83JrErKYsgbzdu6B1EUlJSHcyh+vzaDCHg8Gryt37L8eiLse/7HYDC0C6kpuUAOQ07QakTzeH3WqpG59r1gnwicXbXKPRrTWpycoPOx0nnuuVw1bnOzMx04aykRajDQHr6yQImvLeK1Ox8ekYF8r+/DCbY19PlxxERERFpShp1IL0mXn75ZSZOnEi3bt2wWCzExcUxYcIE3n33XQAOHTrEvffey08//VQqc70iU6dOZfLkycXPMzIyiImJITw8nMDAQJe/j/LY7XYsFgvh4eFN84P5gaVYN39glsfOJCyu/NIrdSUtJ5//rNgEwOSLutKpXVS9z6FcfcfA6pfxOrKCiFbB5GbtAcA99uwyewJI89Dkf6+lynSuXc8S2Rn2fg+Ae6vYRvNvpc51y+Gqc12d61IR8nMgL90suziQnl9o584P17I3OZs2Qd68e8uZCqKLiIiI0MgD6WFhYbi5uZGYmFhifWJiIq1bl33BGB4ezpdffklubi6pqalERUUxZcoUOnbsCMDatWtJSkrijDPOKN7HZrPx22+/8dprr5GXl4ebm1upcb28vPDy8iq13mq11vsHZIvF0iDHrbX8HPjmHrM8YALWbqMbZBqv/rqXtJMFdI0MYNzg9o3r+xjVD/zCsWQnYz28Cs+kDQBYYgZhaUzzFJdrsr/XUm061y4W0r540RIc06j+rdS5bjlcca71cyLVklWUje7hC16uS+pxOBxM+3Izy/am4ufpxn9vPpNIlXERERERAaBRX7F7enoyYMAAFi5cWLzObrezcOFCzj777Ar39fb2Jjo6msLCQubOncuVV14JwAUXXMDmzZvZsGFD8dfAgQMZN24cGzZsKDOILi6y6Fk4sR8Co+HCJxtkCnuSspi9/CAAj1zWA3e3RvYrYLVCpwsBsOz8Do/krWZ920ENOCkRkUYsOPbUclBMg01DRKReOcu6+EeCxeKyYd9cvJdP1xzGaoHXbjyDHlH1d+etiIiISGPXqDPSASZPnszNN9/MwIEDGTRoEC+99BLZ2dlMmDABgPHjxxMdHc306dMBWLlyJQkJCfTr14+EhAQef/xx7HY7Dz74IAABAQH06tWrxDH8/Pxo1apVqfXiQglrYfnrZvmyf4N3w1yUP/3tNgrtDkZ2j2RY57AGmUOlOo+EjR/B+g+x2PJweAdjaRXX0LMSEWmcgtudWlYgXURaisyj5jGgjcuGnL/pCP9csBOAx6/oyXndGkepLBEREZHGotEH0q+//nqSk5N59NFHOXbsGP369WPBggXFDUjj4+NL3Aqbm5vLtGnT2LdvH/7+/owePZrZs2cTHBzcQO9AKMyHryaBww69r4MuoxpkGr/uTGLRzmQ83Cw8fGn3BplDlXQ8DyxWLAXZ5nnbgS7NNBIRaVaCY8peFhFpzjKLSl+6qD762oMnmPzpRgAmDI1l/NmxLhlXREREpDlp9IF0gEmTJjFp0qQyX1u0aFGJ5yNGjGDbtm3VGv+PY4iLLXkRkraBbxhc/FyDTKHAZufp+ebn4pYhsXQI82uQeVSJb6gp5XJoBQCOtoNQGF1EpBwePhDVH1L3Qni3hp6NiEj9cGFGenxqDrd/sIb8Qjsju0cw7dIetR5TREREpDlqEoF0acISt5pAOsDof4FfqwaZxuzlB9mbnE0rP0/+dkHnBplDtXQeWRxIJ3pgw85FRKSxm/A9FJwEn+CGnomISP1w1kgPiKzVMOknC5jw3ipSs/PpGRXIy3/qj5tVKRwiIiIiZWlknRalWbEVmpIu9gLoein0HNsg0ziRnc9LP+8C4O8XdSXQ26NB5lEtnS8CwIEFos9o4MmIiDRyHj7mbh4RkZYiyxlIr3lGen6hnTs/XMve5GzaBHnz7i1n4uelPCsRERGR8uhKSerOijfgyDrwCoJLX2ywOt///nkXGbmFdGsdwPVnNpH6ua37YD//UTILPQjwDmro2YiIiIhIY1KckV6zGukOh4NpX25m2d5U/Dzd+O/NZxIZ6O3CCYqIiIg0P8pIl7qRuhd+fcYsj3oGAmtfv7EmdiVm8r+V8QA8enmPpnOrqsUCw+7nZI/rGnomIiIi0oK9/vrrxMbG4u3tzeDBg1m1alW52xYUFPDkk08SFxeHt7c3ffv2ZcGCBbUaU8rhDKT71yyQ/ubivXy65jBWC7x24xn0iAp04eREREREmicF0sX17Hb4+h4ozIWO50L/PzfINBwOB0/N34bN7mBUz0iGxIU1yDxEREREmqI5c+YwefJkHnvsMdatW0ffvn0ZNWoUSUlJZW4/bdo03nrrLV599VW2bdvGHXfcwdixY1m/fn2Nx5Qy5GdDXoZZrkFG+vxNR/jngp0APH5FT87rFuHK2YmIiIg0Wwqki+utnQUHl4KHL1z+coOVdFm4PYklu1PwdLPy0OjuDTIHERERkaZqxowZTJw4kQkTJtCjRw9mzpyJr68v7777bpnbz549m4ceeojRo0fTsWNH7rzzTkaPHs2LL75Y4zGlDM5sdA8/8Aqo1q7r4k8w+dONANw6tAPjz4518eREREREmi/VSBfXSj8MPz1mli94DEJiG2Qa+YV2nvluOwAThsXSvpVfg8xDREREpCnKz89n7dq1TJ06tXid1Wpl5MiRLF++vMx98vLy8PYuWWfbx8eHpUuX1nhM57h5eXnFzzMyTDa23W7HbrdX/83VkN1ux+Fw1Osxy5RxBCvgCGiNw+EAh6NKu53IyefOD9eSX2hnZPcIpl7SteHfSyPVaM611Dmd65ZD57rl0LluOVx1rquzvwLp4joOB8y/H/IzIWYwDLq9wabywfID7E/JJszfi0nndWqweYiIiIg0RSkpKdhsNiIjI0usj4yMZMeOHWXuM2rUKGbMmMHw4cOJi4tj4cKFzJs3D5vNVuMxAaZPn84TTzxRan1ycjK5ubnVfWs1ZrfbSU9Px+FwYLU23I293gm7CAYKvEI5XsWSOA6Hgynz95GYkUf7EC8eOi+K1JTkOp1nU9ZYzrXUPZ3rlkPnuuXQuW45XHWuMzMzq7ytAuniOps+hd0/gpsnXPEa1PM/WA6Hg91JWSzemcwrC3cD8I9RXQjw9qjXeYiIiIi0RC+//DITJ06kW7duWCwW4uLimDBhQq3LtkydOpXJkycXP8/IyCAmJobw8HACA+uvSabdbsdisRAeHt6wH8z3nQTAIzSGiIiq1Tf/ZPUhFu9Nw8PNwmvjBhAbFVSXM2zyGs25ljqnc91y6Fy3HDrXLYerzvUf76isiALp4hpZSbDg/8zyiP+D8C71ctiM3AJ+353C4l3JLN6VzNH0U1lJfdoGcc2AmHqZh4iIiEhzEhYWhpubG4mJiSXWJyYm0rp12Q0uw8PD+fLLL8nNzSU1NZWoqCimTJlCx44dazwmgJeXF15eXqXWW63Wev+AbLFYGuS4JWSZGumWwCgsVZjH3uQsnppvSh7+Y1RXercNqdPpNReN4lxLvdC5bjl0rlsOneuWwxXnujr7KpAurvH9g3DyBLTuDUPvrbPD2O0Oth3NMIHzncmsjT+BzX6qLqSXu5XBHVsxoks41wxoi5u1YRqdioiIiDRlnp6eDBgwgIULFzJmzBjAZP0sXLiQSZMmVbivt7c30dHRFBQUMHfuXK677rpajymncTYb9Y+seDtM36B7P1nPyQIbwzqF8ZdhHet4ciIiIiLNlwLpUnvb58PWL8DiBle+Dm6uLaVSaLPz7eajLN6ZzG+7k0nJyi/xesdwP0Z0CWdEl3DO6tgKbw83lx5fREREpCWaPHkyN998MwMHDmTQoEG89NJLZGdnM2HCBADGjx9PdHQ006dPB2DlypUkJCTQr18/EhISePzxx7Hb7Tz44INVHlOqwBlID2hT6aYv/riTLQkZhPh68OJ1fbEqyURERESkxhRIl9rJy4Jvi2pWDr0X2vR1+SEe+GwjX244Uvzcz9ONIZ3CioPnMaG+Lj+miIiISEt3/fXXk5yczKOPPsqxY8fo168fCxYsKG4WGh8fX+JW2NzcXKZNm8a+ffvw9/dn9OjRzJ49m+Dg4CqPKVVQHEgvvxwOwNLdKbz12z4Anr+6D5GBVa//KSIiIiKlKZAutXNgCWQlQlCMqY3uYj9sPcaXG47gZrXwl2EdOLdrBAPah+DprjpXIiIiInVt0qRJ5ZZdWbRoUYnnI0aMYNu2bbUaU6qgChnpx7PzmfzpBgBuHNyOi3pWHHQXERERkcopkC61k7DOPHYYDh6uzXJJzylg2pdbALh9eEf+7+JuLh1fRERERKRJycuC/EyzHFB2Fr/D4eD/5m4iKTOPuHA/Hrm0Rz1OUERERKT5Ulqv1M6RokB6VH+XD/3Ut9tIzsyjY7gf917Q2eXji4iIiIjUmfTDsO4DKMyvfNuqyko0j57+4BVQ5iYfrYrnp22JeLhZePlP/fHxVP8gEREREVdQRrrUnMMBR9ab5agzXDr0op1JfL72MBYL/OuaPmogKiIiIiJNy4+PwNZ54O4Nfa5zzZiZR81jOfXR9yRl8tR8U17nwVHd6BUd5JrjioiIiIgy0qUW0uIhJxWsHtC6l8uGzcwt4KF5mwGYMKQDA9qHumxsEREREZF6cdw0+iRpu+vGdNZH9y8dSM8rtHHPxxvILbBzTucwbhvWwXXHFREREREF0qUWnNnokT3B3ctlwz73/Q6OpOfSLtSXB0Z1cdm4IiIiIiL1JivJPJ7Y77oxK8hIf+GHnWw7mkGIrwcvXNsXq9XiuuOKiIiIiALpUgt1UB992d4U/rcyHoDnru6Nr6eqD4mIiIhIE2O3Q7YzkH7AdeM6M9L/EEj/bVcy7ywxAft/XtOXyEBv1x1TRERERAAF0qU2nBnp0a6pj56TX8iUuaaky7jB7RgSF+aScUVERERE6lVOKtgLzfJxV2akOwPpbYpXpWbl8ffPNgLw57PacWGPSNcdT0RERESKKZAuNWO3w5ENZtlFGekv/LCL+OM5RAV5M+WSbi4ZU0RERESk3mUlnlrOTYOTJ1wz7h8y0h0OB/83dxPJmXl0ivDn4dE9XHMcERERESlFgXSpmeP7IC8D3L0hvHuth1t78DizlplsnWev6k2At0etxxQRERERaRBZx0o+d1V5l6ySgfQPV8bz8/YkPN2svPKn/vh4urnmOCIiIiJSigLpUjPO+uit+4Bb7eqY5xbY+Mfnm3A44JoBbTm3a4QLJigiIiIi0kAyE0s+d1V5l9NKu6TnFPDMt9sAePDirvSICnTNMURERESkTAqkS824sD76Kwt3sy85m/AALx65VLejioiIiEgTVxcZ6XmZkJ9llv0j+X1vCrkFdjqG+XHr0A61H19EREREKqRAutRMQlFGei3ro28+nM5bv+0D4JkxvQjyVUkXEREREWnispLMo6Wo1MoJF2SkO7PRPQPAy58lu5MBGNE1HKvVUvvxRURERKRCCqRL9dkK4dgmsxxV84z0/EI7//h8Iza7g8v7RnFRz9YumqCIiIiISANyBr1b9zaPrshIP63RqMPh4LddKQAM7xJe+7FFREREpFIKpEv1peyEghyTDdOqU42HeXPRXnYcyyTUz5PHL1dJFxERERFpJrKKaqS3O8s8Hj9Q+zFPC6TvS8kmIe0knm5WBncIrf3YIiIiIlIpBdKl+pz10aP6gbVmP0I7jmXw2q+7AXjiip608vdy0eRERERERBrYHwPpGYehML92Y2YeNY8BrfltlynrcmaHEHw93Ws3roiIiIhUiQLpUn3F9dH71Wj3QpudBz/fRIHNwYU9IrmsTxvXzU1EREREpKFlFgXSI3uDhy847JB+qHZjOoPzAa1ZstuUdTmns8q6iIiIiNQXBdKl+ooz0mtWH/0/S/ez6XA6gd7uPD2mFxaLmiOJiIiISDORlwkF2WY5oDWExJrl47VsOFqUkV7oF8nyvakAnNM5rHZjioiIiEiVKZAu1VOYD4lbzHJU/2rvvj8lmxk/7QLgkct6EBno7crZiYiIiIg0LGc2uqc/ePlDSAfz/ERtA+mmRvrek/6cLLAR5u9F99aBtRtTRERERKpMgXSpnsQtYMsHn5BT2TVV5HA4eGjeZvIL7ZzTOYxrBrStmzmKiIiIiDQUZwkW/wjz6LxmPnGgduMWZaSvOW4SUc7pHIbVqjs7RUREROqLAulSPcVlXfpDNUuyfLbmMMv3peLtYeWZMb1V0kVEREREmp8skzmOf2vzGOrMSD9Q8zEdjuJM918TzEe44V1U1kVERESkPimQLtVzxNlotHr10ZMyc3n6220A/P3CrrRr5evqmYmIiIiINDxnaZeASPPoihrpp9Vd/z3RHYChnRRIFxEREalPCqRL9RzZYB6jqxdIf+KbbWTkFtI7OogJQ2NdPi0RERERkUahuLSLM5B+Wka6w1GzMYvqoxe4+3MSb7q3CSQiQL2GREREROqTAulSdfk5kLTdLFej0ejP2xL5dtNR3KwWpl/VG3c3/diJiIiISDP1x0B6cDvAYjLKs5NrOKYJpB+3hgIq6yIiIiLSEBTRlKo7thkcNlPvMTCqSrtk5hbwyFdbAPjLOR3oFR1UlzMUEREREWlYRdnjBBTVSHf3hKC2Zrmm5V2KxowvMNfSwzuH12aGIiIiIlIDCqRL1RXXR696NvoLP+zkaHou7UJ9ue+CLnU0MRERERGRRuKPGelwqk56TRuOZh4F4HBhIN4eVgbGhtR4eiIiIiJSMwqkS9UdWW8eq1gffe3BE3yw4iAA06/qjY+nW13NTERERESkcagwkF7TjHQzZqIjhLM6tsLLXdfVIiIiIvVNgXSpuoSqZ6TnF9qZOm8TDgdcM6AtQzupjqOIiIiINHOF+ZCTapadpV0AQk9rOFoTRRnpSY4QlXURERERaSAKpEvV5GZA6m6zXIVA+szFe9mVmEUrP08eHt29jicnIiIiItIIZCeZR6s7+ISeWu/MSK9hjXRbhgmkJzpC1GhUREREpIE0iUD666+/TmxsLN7e3gwePJhVq1aVu21BQQFPPvkkcXFxeHt707dvXxYsWFBim+nTp3PmmWcSEBBAREQEY8aMYefOnXX9Npq2oxvMY1A78Kv44n1PUiav/bIHgMeu6EmIn2cdT05EREREpBFwlnXxiwDraR+1QmqXkZ5/IgEAm18EceH+tZigiIiIiNRUow+kz5kzh8mTJ/PYY4+xbt06+vbty6hRo0hKSipz+2nTpvHWW2/x6quvsm3bNu644w7Gjh3L+vXri7dZvHgxd999NytWrOCnn36ioKCAiy66iOzs7Pp6W01PcX30irPR7XYHU+dtJt9m57yu4Vzep009TE5EREREpBEoqmVOQGTJ9c7SLlnHID+nemM6HLjlmM8+HWI7YbFYajlJEREREakJ97oa2Gaz8d5777Fw4UKSkpKw2+0lXv/ll1+qNM6MGTOYOHEiEyZMAGDmzJl8++23vPvuu0yZMqXU9rNnz+bhhx9m9OjRANx55538/PPPvPjii3z44YcApTLU33vvPSIiIli7di3Dhw+v9nttEapYH/2jVfGsPnACX083nh7bWxf6IiIiItJyZB0zj/6tS673CQHvIMhNN1npkT2qPmZeBp72XAB6d+/imnmKiIiISLXVWSD93nvv5b333uPSSy+lV69eNQqo5ufns3btWqZOnVq8zmq1MnLkSJYvX17mPnl5eXh7e5dY5+Pjw9KlS8s9Tnp6OgChoaHlbtPiOTPSo84od5Nj6bk8//0OAP4xqivRwT71MTMRERERkcahvIx0MOVdjm6odiA9+chBwoEMhy9DusW4YpYiIiIiUgN1Fkj/5JNP+PTTT4szw2siJSUFm81GZGTJC9HIyEh27NhR5j6jRo1ixowZDB8+nLi4OBYuXMi8efOw2Wxlbm+327nvvvsYOnQovXr1KncueXl55OXlFT/PyMgo3v+P2fZ1yW6343A46vWY5KRiTTtojt+6D5Rz7Ee/2kJmXiH9YoL48+B29TvHZqhBzrU0CJ3rlkPnuuXQuW45XHWu9bPSTDhrpPuXFUiPLQqkV6/h6NZduzgXSHdvRYyveg+JiIiINJQ6C6R7enrSqVOnuhq+XC+//DITJ06kW7duWCwW4uLimDBhAu+++26Z2999991s2bKlwox1MA1Kn3jiiVLrk5OTyc3Ndcncq8Jut5Oeno7D4cBqrZ8S956HlhAKFAbFkpKRBxml69P/uucEP25LxM0KD4yIJjUluV7m1pw1xLmWhqFz3XLoXLccOtcth6vOdWZmpgtnJQ2mokB6aM0ajh48sBcA+x/LxYiIiIhIvaqzQPrf//53Xn75ZV577bUa18kOCwvDzc2NxMTEEusTExNp3brsC8nw8HC+/PJLcnNzSU1NJSoqiilTptCxY8dS206aNIn58+fz22+/0bZt2wrnMnXqVCZPnlz8PCMjg5iYGMLDwwkMDKzBu6sZu92OxWIhPDy8/j6Y7zBZM24xA4mIiCj1csbJAv69eAsAdwyPY0iP9vUzr2auQc61NAid65ZD57rl0LluOVx1rv9YmlCaqMyiGukBZXxWCYk1j8ernpFuszs4kRgPgF9YxZ9XRERERKRu1VkgfenSpfz66698//339OzZEw8PjxKvz5s3r9IxPD09GTBgAAsXLmTMmDGA+bCycOFCJk2aVOG+3t7eREdHU1BQwNy5c7nuuuuKX3M4HPztb3/jiy++YNGiRXTo0KHSuXh5eeHl5VVqvdVqrfcPyBaLpX6Pe9TUR7dED8BSxjH/+eMukjLz6Bjmx98u6KyAgQvV+7mWBqNz3XLoXLccOtcthyvOtX5Omomsojs3yyztUv2M9K1H0gksSAF3CIlQfXQRERGRhlRngfTg4GDGjh1b63EmT57MzTffzMCBAxk0aBAvvfQS2dnZTJgwAYDx48cTHR3N9OnTAVi5ciUJCQn069ePhIQEHn/8cex2Ow8++GDxmHfffTcfffQRX331FQEBARw7ZjJHgoKC8PFRg8xSihuN9i/10t7kLD5aabJknr2qN94ebvU5MxERERGRxsHhqFppl7SDYLeBtfLr5iW7U2hvSQPALSjKRRMVERERkZqos0D6rFmzXDLO9ddfT3JyMo8++ijHjh2jX79+LFiwoLgBaXx8fIkMntzcXKZNm8a+ffvw9/dn9OjRzJ49m+Dg4OJt3nzzTQDOPffcUnO+5ZZbXDLvZiPjKGQeBYsV2vQp9fLyvakADIlrxVkdW9X37EREREREGoec42AvMMtlBdIDo8HqAbZ8yDgCwZVnmC/elcwDlhPmSVnlYkRERESk3tRZIN0pOTmZnTt3AtC1a1fCw8OrPcakSZPKLeWyaNGiEs9HjBjBtm3bKhzP4XBUew4tljMbPbw7ePqVenldvLmwH9g+pD5nJSIiIiLSuGQV1Uf3CQV3z9KvW90guB0c32vKu1QSSM/KK2TdwRNEuhcF0tVsVERERKRB1VkxxuzsbG699VbatGnD8OHDGT58OFFRUdx2223k5OTU1WHF1Y6sM49llHUBWB+fBkB/BdJFREREpCWrqKyLk7Ph6InKG44u35tKod1OpDXNrFBGuoiIiEiDqrOM9MmTJ7N48WK++eYbhg4dCpgGpPfccw9///vfi8urSCPnzEiPLh1IP56dz/6UbADOiFEgXURERKShbNq0qcrb9ulTulyfuEBmUSA9oIJAemgH2EuVGo4u2Z1MIDl4k180rgLpIiIiIg2pzgLpc+fO5fPPPy9Rh3z06NH4+Phw3XXXKZDeFDgckFB+Rvr6orIuceF+BPl61OfMREREROQ0/fr1w2KxlFvC0PmaxWLBZrPV8+xaCGdpl4pKsDgz0o9XnpG+ZHcKEc766N7B4OFTq+mJiIiISO3UWSA9JyenuCHo6SIiIlTapalIi4eTx01TpMhepV5ee9Bc2A9QWRcRERGRBrV/f+WBWaljWUnm0T+i/G1COpjHSjLSDx3PYX9KNsPd0swKZaOLiIiINLg6C6SfffbZPPbYY3zwwQd4e3sDcPLkSZ544gnOPvvsujqsuJKzPnpkT3D3KvWys9HoGe0USBcRERFpSO3bt2/oKUhmUUZ6RUHvUGcgveI/fPy2OxmAM8PyIb2SMUVERESkXtRZIP3ll19m1KhRtG3blr59+wKwceNGvL29+eGHH+rqsOJKxfXRzyj1UqHNzsZD6QCcoYx0ERERkQb19ddfV3nbK664og5n0oJVpdlocNEfPE6egJNp4BNc5ma/7TKB9DNCcosC6W1cNk0RERERqZk6C6T36tWL3bt387///Y8dO3YAcMMNNzBu3Dh8fFTfr0mooD76jmOZnCywEeDtTqdw/3qemIiIiIicbsyYMVXaTjXS65AzkF5R9riXP/hFQHaSKe/i06/UJoU2O8v2pALQxTfbrKwoOC8iIiIi9aLOAukAvr6+TJw4sS4PIXXFboejG81yVOmMdGej0X4xwVitlvqcmYiIiIj8gd1ub+gpSGYVMtLBNBzNTjLlXaL6lXp54+E0MvMKCfb1oBVFzUaVkS4iIiLS4FwaSP/666+55JJL8PDwqPT2Ut1S2sgd3wt5GeDuA+HdSr28Lj4NUH10ERERERHysyE/0yxXFkgP7QCHV5XbcHTxrhQAhnYKw1qVuusiIiIiUi9cGkgfM2YMx44dIyIiosLbS3VLaRPgrI/epg+4lf4xKW40qvroIiIiIo1OdnY2ixcvJj4+nvz8/BKv3XPPPQ00q2bMGfD28AWvgIq3DYk1j8fLbji6pKjR6IjO4fD7UbNSGekiIiIiDc6lgfTTbynV7aVNXAX10VOy8jiYmoPFYkq7iIiIiEjjsX79ekaPHk1OTg7Z2dmEhoaSkpKCr68vERERCqTXhawk8+gfAZZKyh6GdDCPZWSkp+cUsPFQGgDDOrWCBc6MdNVIFxEREWlo1vo8WFpaWn0eTmrDmZFeRn30dQdNNnrnCH+CfDzqc1YiIiIiUon777+fyy+/nBMnTuDj48OKFSs4ePAgAwYM4IUXXmjo6TVPWUUBb/8qlGAJdQbSS2ek/743BbsDOkX4E+WdB7a8qo8rIiIiInWqzgLpzz//PHPmzCl+fu211xIaGkp0dDQbN26sq8OKK9gKT2s0WjojXfXRRURERBqvDRs28Pe//x2r1Yqbmxt5eXnExMTwz3/+k4ceeqihp9c8ORuNViVz3FnaJf0wFJYsu+Ms6zK8c/ipcjE+IeDh7aKJioiIiEhN1VkgfebMmcTExADw008/8fPPP7NgwQIuueQS/vGPf9TVYcUVkndA4UnwDIBWnUq9XFwfXYF0ERERkUbHw8MDq9Vc5kdERBAfHw9AUFAQhw4dasipNV9ZRYH0qmSO+0eCuw847JB+6nw4HA5+K2o0ek6XMMg8WvUxRURERKTOubRG+umOHTtWHEifP38+1113HRdddBGxsbEMHjy4rg4rrlBc1qUfWEv+raXAZmfT4TQAzmgfXK/TEhEREZHK9e/fn9WrV9O5c2dGjBjBo48+SkpKCrNnz6ZXr14NPb3mqTiQHlH5thaLyUpP3m7Ku7SKA2BfSjYJaSfxdLNyVodWsM2Z5a5AuoiIiEhjUGcZ6SEhIcUZLwsWLGDkyJGAybSw2Wx1dVhxhSPlNxrdcTST3AI7gd7udAzzr+eJiYiIiEhlnn32Wdq0aQPAM888Q0hICHfeeSfJycm89dZbDTy7ZspZhqWqQe/Q0g1Hv9tkMtDP7BCCj6fbqYz0gDYumqSIiIiI1EadZaRfddVV3HjjjXTu3JnU1FQuueQSANavX0+nTqXLhUgj4sxIjy6j0WhRWZf+7UKwWi31OSsRERERqYKBAwcWL0dERLBgwYIGnE0LUZ3SLnCqTvpx03A0v9DO7BUHAbh2gLmrt9rBeRERERGpU3UWSP/3v/9NbGwshw4d4p///Cf+/iZ7+ejRo9x11111dViprcI8OLbFLJfZaFT10UVEREQas/3791NYWEjnzp1LrN+9ezceHh7ExsY2zMSas+qUdgEIKZmRPn/TEZIy84gI8GJ076IM9OKMdAXSRURERBqDOguke3h48MADD5Raf//999fVIcUVEreCvQB8QiG4famX1x40gfQB7RVIFxEREWmMbrnlFm699dZSgfSVK1fyn//8h0WLFjXMxJorWyFkmyahNSnt4nA4+O9Sk5l+85BYPN2Lqm9mqUa6iIiISGPi0kD6119/zSWXXIKHhwdff/11hdteccUVrjy01JbDAYdWwu8vm+dR/U0jpNMkZeZy+MRJLBboGxPUAJMUERERkcqsX7+eoUOHllp/1llnMWnSpAaYUTOXnQQ4wOIGvmFV2+e00i6r9qWy9UgGXu5WbhzU7tQ2qpEuIiIi0qi4NJA+ZswYjh07RkREBGPGjCl3O4vFooajjUXyLtj8KWyaA2nxp9bHnV9q03UH0wDoGhlAgLdHPU1QRERERKrDYrGQmZlZan16erquwevC6WVdrNaq7RPcDrBAQTaf/mb6E111RltC/DzN6w7HqRrp/pGuna+IiIiI1IhLA+l2u73MZWlkspJgy1wTPHc2FgXw9IceV0Kf66DDiFK7rT+t0aiIiIiINE7Dhw9n+vTpfPzxx7i5uQFgs9mYPn06w4YNa+DZNUOZ1ayPDuDuBYHRkHGY/bu3AF24bVjsqddPngBbvllWaRcRERGRRqHOaqRLI5OfDTu+NcHzvb+CoygbyeIGnUZC3+uhyyXg6VvuEKcajQbXw4RFREREpCaef/55hg8fTteuXTnnnHMAWLJkCRkZGfzyyy8NPLtmKMuZOV7NgHdoB8g4TAxJBHQZSqeIgFOvObPRfUJN0F1EREREGlydBdLvueceOnXqxD333FNi/WuvvcaePXt46aWX6urQcrqk7bD037B9PhRkn1ofPRD6XA+9rgK/yms55hfa2XQ4HYAz1GhUREREpNHq0aMHmzZt4rXXXmPjxo34+Pgwfvx4Jk2aRGhoaENPr/lxZqQHVK8ES35gOzyB9pYkrhrW4Q9jqj66iIiISGNTZ4H0uXPnltlwdMiQITz33HMKpNeXryZBwhqzHNLBBM/7XAet4qo1zPajGeQV2gn29aBjmF8dTFREREREXCUqKopnn322oafRMhTXSK9eIH1jdghnAr18jzO88x8SW7JqFpwXERERkbpTxW441ZeamkpQUFCp9YGBgaSkpNTVYeWP0g+Zx2tmwT3r4byp1Q6iw+llXUKwWCyunKGIiIiIuNiSJUv485//zJAhQ0hISABg9uzZLF26tIFn1gzVIJBeaLPzTbwp2dLPP6309bUy0kVEREQanToLpHfq1IkFCxaUWv/999/TsWPHujqsnM7hgJxUsxwzCGoRAF97UPXRRURERJqCuXPnMmrUKHx8fFi3bh15eXkApKenK0u9LjjrmVejKehP2xLZkBUMQHjBEZeMKSIiIiJ1q85Ku0yePJlJkyaRnJzM+eefD8DChQt58cUXVdalvuSmg73QLPtWXge9Iuvj0wCTkS4iIiIijdfTTz/NzJkzGT9+PJ988knx+qFDh/L000834Myaqawk81iNZqP/Xbqfgw6TwW7JOgb5OeDpe2oDZ0Z6dRuYioiIiEidqbNA+q233kpeXh7PPPMMTz31FACxsbG8+eabjB8/vq4OK6dzZqN7+oOHd42HSczIJSHtJFYL9I0Jds3cRERERKRO7Ny5k+HDh5daHxQURFpaWv1PqDlzOCCrKHvcP6JKu2w8lMaagyfwcPPH7hWINS8D0g5CRPdTGxU3MFUgXURERKSxqLPSLgB33nknhw8fJjExkYyMDPbt26cgen1yBtJ9Q2s1zLqisi5dWwfi51Vnf3sRERERERdo3bo1e/bsKbV+6dKl1S6x+PrrrxMbG4u3tzeDBw9m1apVFW7/0ksv0bVrV3x8fIiJieH+++8nNze3+PXHH38ci8VS4qtbt27VmlOjcvIE2PLNchVrpL/7+34ALu8TjTW0g1l54kDJjYpLu6hGuoiIiEhjUaeB9MLCQn7++WfmzZuHw+EA4MiRI2RlZdXlYcUpu6ipay3LupxqNBpcywmJiIiISF2bOHEi9957LytXrsRisXDkyBH+97//8fe//50777yzyuPMmTOHyZMn89hjj7Fu3Tr69u3LqFGjSEpKKnP7jz76iClTpvDYY4+xfft2/vvf/zJnzhweeuihEtv17NmTo0ePFn816Qaozkaj3sFVugP0WHou324yZVtuHdYBQmLNC8f3n9ro9Cx3ZaSLiIiINBp1ll588OBBLr74YuLj48nLy+PCCy8kICCA559/nry8PGbOnFlXhxannKJAul9tA+lpgOqji4iIiDQFU6ZMwW63c8EFF5CTk8Pw4cPx8vLiH//4B3/5y1+qPM6MGTOYOHEiEyZMAGDmzJl8++23vPvuu0yZMqXU9suWLWPo0KHceOONgCnreMMNN7By5coS27m7u9O6dTMJEDsD6VXMRn9/+QEK7Q4GdQilV3QQhJSRkV6DLHcRERERqXt1lpF+7733MnDgQE6cOIGPj0/x+rFjx7Jw4cK6Oqycrri0S6saD5FXaGNzQjoAZ7RXIF1ERESksbNYLDz88MMcP36cLVu2sGLFCpKTkwkKCqJDhw5VGiM/P5+1a9cycuTI4nVWq5WRI0eyfPnyMvcZMmQIa9euLS7/sm/fPr777jtGjx5dYrvdu3cTFRVFx44dGTduHPHx8TV8p41AcS3zygPeJ/NtfLTSvNfbhhWdh+LSLqdlpDsbjfq2AndPV81URERERGqpzjLSlyyYA7rPAABD9klEQVRZwrJly/D0LHnxFxsbS0JCQl0dVk5XXNql5oH0rUcyyC+0E+rnSWwrXxdNTERERERcLS8vj8cff5yffvqpOAN9zJgxzJo1i7Fjx+Lm5sb9999fpbFSUlKw2WxERpYMEEdGRrJjx44y97nxxhtJSUlh2LBhOBwOCgsLueOOO0qUdhk8eDDvvfceXbt25ejRozzxxBOcc845bNmyhYCAgHLfV15eXvHzjIwMAOx2O3a7vUrvxxXsdjsOh6PkMTOPYgUc/pE4KpnL52sPkX6ygHahPpzfNdyME9Te7H98/6n904+YdQGtKx1T6kaZ51qaJZ3rlkPnuuXQuW45XHWuq7N/nQXS7XY7Nput1PrDhw+Xe5EsLubMSK9FaRdno9Ez2gVjsVhcMSsRERERqQOPPvoob731FiNHjmTZsmVce+21TJgwgRUrVvDiiy9y7bXX4ubmVmfHX7RoEc8++yxvvPEGgwcPZs+ePdx777089dRTPPLIIwBccsklxdv36dOHwYMH0759ez799FNuu+22MsedPn06TzzxRKn1ycnJJRqZ1jW73U56ejoOhwOr1dzYG5B0AD8gxxpAZjm14wHsDgf/+c00gL26dytSU5IBcLMHEA5w4gBJicfAYsXnyC6CgHzPEE5UMKbUnbLOtTRPOtcth851y6Fz3XK46lxnZmZWeds6C6RfdNFFvPTSS7z99tuAucU0KyuLxx57rNTtnVJHXFDaZX1RffT+qo8uIiIi0qh99tlnfPDBB1xxxRVs2bKFPn36UFhYyMaNG6udEBEWFoabmxuJiYkl1icmJpZb3/yRRx7hpptuKq7D3rt3b7Kzs7n99tt5+OGHy/yAExwcTJcuXdizZ0+5c5k6dSqTJ08ufp6RkUFMTAzh4eEEBgZW633Vht1ux2KxEB4eXvxeLHaTHe8T0QGfiIhy9120M5mDJ/Lw93Jnwrnd8fcq+hgWForD6o7FXkCEdyEEtYWdOQB4tmpPRAVjSt0p61xL86Rz3XLoXLccOtcth6vOtbd35Q3jneoskP7CCy9w8cUX06NHD3Jzc7nxxhvZvXs3YWFhfPzxx3V1WDldcWmXWmSkxzsz0hVIFxEREWnMDh8+zIABAwDo1asXXl5e3H///TW6q9DT05MBAwawcOFCxowZA5gPKwsXLmTSpEll7pOTk1PqQ4wzA97hcJS5T1ZWFnv37uWmm24qdy5eXl54eXmVWm+1Wuv9A7LFYil53CyTMW4NaAMVzGXWsgMAXH9mDIE+p5W+tHpCcDs4vg9rejyEtCtuYGoJaINFAYAGU+pcS7Olc91y6Fy3HDrXLYcrznV19q2zQHpMTAwbN25kzpw5bNy4kaysLG677TbGjRtXovmo1KFalnY5mn6So+m5uFkt9I0JcuHERERERMTVbDZbif5E7u7u+Pv713i8yZMnc/PNNzNw4EAGDRrESy+9RHZ2NhMmTABg/PjxREdHM336dAAuv/xyZsyYQf/+/YtLuzzyyCNcfvnlxQH1Bx54gMsvv5z27dtz5MgRHnvsMdzc3Ljhhhtq8c4bUOYx81hBs9GdxzJZsjsFqwVuGRJbeoOQWDi+D47vh9hhp5qNBpSd+S8iIiIiDaNOAukFBQV069aN+fPnM27cOMaNG1cXh5HK1LK0y7qDaQB0ax2Ar2ed/c1FRERERFzA4XBwyy23FGdv5+bmcscdd+Dn51diu3nz5lVpvOuvv57k5GQeffRRjh07Rr9+/ViwYEFxA9L4+PgSGTzTpk3DYrEwbdo0EhISCA8P5/LLL+eZZ54p3ubw4cPccMMNpKamEh4ezrBhw1ixYgXh4eG1ffsNoygjHf/yA+nvLt0PwKierYkJ9S29QUgH83jiQNGYReV0FEgXERERaVTqJDrq4eFRr41/pAwFuZCfZZZrGkhXWRcRERGRJuPmm28u8fzPf/5zrcecNGlSuaVcFi1aVOK5u7s7jz32GI899li5433yySe1nlOjUXAS8tLNcjmB9NSsPL7YkADArcM6lD1OqDOQbgLup7Lc27hqpiIiIiLiAnWWZnz33Xfz/PPP85///Ad3d2Uz1ztnNrrVHbxrVpbFGUgf0F6BdBEREZHGbtasWQ09hZbFGfB29y73evt/K+PJL7TTp20QA8u7pg6JNY/H94PdflogXRnpIiIiIo1JnUW4V69ezcKFC/nxxx/p3bt3jW8plRrKcTYabQU1aDCVW2BjS4LJsFFGuoiIiIjIH5xe1qWM6+28QhsfLD8IwG3DOpTf9PX00i4nj4O9wDz3i3DxhEVERESkNuoskB4cHMzVV19dV8NLZbKdgfSaNRrdeiSdApuDMH9PYkLVHFZEREREpISsoszxcsq6zN94lJSsPCIDvRjdu4IyLSHtzePJ45Cyyyz7hoG7Z/n7iIiIiEi9s1a+SfXY7Xaef/55du3axZYtW4iIiOCNN95g1qxZJb6q4/XXXyc2NhZvb28GDx7MqlWryt22oKCAJ598kri4OLy9venbty8LFiyo1ZhNUs5x8+gbWqPdnY1G+7cLKT97RkRERESkpcp0NgUtO5C+YKsJtI8b3B4Ptwo+dnkFgF9Rs9X45UVjqj66iIiISGPj8kD6M888w0MPPYS/vz/R0dG88sor3H333TUeb86cOUyePJnHHnuMdevW0bdvX0aNGkVSUlKZ20+bNo233nqLV199lW3btnHHHXcwduxY1q9fX+MxmyRnaRe/mmWkq9GoiIiIiEgFijPSy65lnpKVB0DX1gGVj+Wskx6/wjyqPrqIiIhIo+PyQPoHH3zAG2+8wQ8//MCXX37JN998w//+9z/sdnuNxpsxYwYTJ05kwoQJ9OjRg5kzZ+Lr68u7775b5vazZ8/moYceYvTo0XTs2JE777yT0aNH8+KLL9Z4zCapFqVdHA7HaYH0YBdOSkRERESkmcgqykgvp7TLiex8AEL9qlCixVknPX6leSwny11EREREGo7La6THx8czevTo4ucjR47EYrFw5MgR2rZtW62x8vPzWbt2LVOnTi1eZ7VaGTlyJMuXLy9zn7y8PLy9vUus8/HxYenSpTUe0zluXl5e8fOMjAzAlLKp6R8JasJut+NwOCo9piUnBQvg8AnFUc35JaSdJDEjD3erhV5RgfX6/uSUqp5rafp0rlsOneuWQ+e65XDVudbPShNUSWmXEzmmaWiIr0flY4UWBdLz0ovGVGkXERERkcbG5YH0wsLCUoFsDw8PCgoKqj1WSkoKNpuNyMiSF6eRkZHs2LGjzH1GjRrFjBkzGD58OHFxcSxcuJB58+Zhs9lqPCbA9OnTeeKJJ0qtT05OJjc3t7pvrcbsdjvp6ek4HA6s1vJvKAg+fgRvINPuRU41S9Ys2mnqq3cK8yEzLZXM2kxYaqyq51qaPp3rlkPnuuXQuW45XHWuMzN1xdXkVFDapdBmJ/2kM5BelYz02JLPVdpFREREpNFxeSDd4XBwyy234OXlVbwuNzeXO+64Az8/v+J18+bNc/WhAXj55ZeZOHEi3bp1w2KxEBcXx4QJE2pdtmXq1KlMnjy5+HlGRgYxMTGEh4cTGBhY22lXmd1ux2KxEB4eXuGHNYvNfBjzj4zFPyKiWsfYu8qUhRkcF05ENfcV16nquZamT+e65dC5bjl0rlsOV53rPyaiSBOQVZSsUkZGujOIDhDkU4WMdGdpF6dy6q6LiIiISMNxeSD95ptvLrXuz3/+c43GCgsLw83NjcTExBLrExMTad267IvL8PBwvvzyS3Jzc0lNTSUqKoopU6bQsWPHGo8J4OXlVeKPA05Wq7XePyBbLJbKj5tjssqtfmFQzfmtj08D4Iz2Ifrw38CqdK6lWdC5bjl0rlsOneuWwxXnWj8nTYzdBtnJZrmMGuknckx99CAfD9zdqnBuS2Wkq7SLiIiISGPj8kD6rFmzXDaWp6cnAwYMYOHChYwZMwYwWT8LFy5k0qRJFe7r7e1NdHQ0BQUFzJ07l+uuu67WYzYpOUXNRv2q12w0t8DG1iOm/vsZ7UJcPSsRERERkaYvOxkcdrBYwS+81MvVqo8OppSLuzcU5p56LiIiIiKNissD6a42efJkbr75ZgYOHMigQYN46aWXyM7OZsKECQCMHz+e6Ohopk+fDsDKlStJSEigX79+JCQk8Pjjj2O323nwwQerPGaTZ7cVZ6TjW71A+uaEdArtDsIDvGgb4lMHkxMRERERaeIyi+qj+4WD1a3Uy8ezTUZ6iF8V6qMDWCwmKz15B2ABf5VXFBEREWlsGn0g/frrryc5OZlHH32UY8eO0a9fPxYsWFDcLDQ+Pr7ErbC5ublMmzaNffv24e/vz+jRo5k9ezbBwcFVHrPJO5kGOMyyb2i1dl1z4AQAZ7QLxmKxuHZeIiIiIiLNgbM+ejkB77Si0i5VajTqFNLBBNL9wsCtipnsIiIiIlJvGn0gHWDSpEnlll1ZtGhRiecjRoxg27ZttRqzyXOWdfEOqvZF+A9bTXbNkLjqZbKLiIiIiLQYWUUZ6eU0BT2e7SztUo1AemhRw1GVdRERERFplNTVqDnKLgqkV7Osy6HjOWw4lIbFApf00gW8iIiIiEiZMhPNY0DZd7SeykivRlJLaEfzGBhdm5mJiIiISB1pEhnpUk05qebRt1W1dvt+y1EABncIJSLQ29WzEhERERFpHrKKAunlZqRXs0Y6QK+rIXEr9BtX29mJiIiISB1QIL05cpZ28ateRvr8TSaQfmmfKFfPSERERESk+Sgu7VJ2RvqJnBqUdvENhctfquXERERERKSuqLRLc5Rd/Yz0+NQcNh1Ox6qyLiIiIiIiFauktMuJotIuoX5qGioiIiLSXCiQ3hzVoLTL/M1HADg7rhVh/l51MSsRERERkeahktIuzkB6cHUy0kVERESkUVMgvTmqQWmXb51lXXqrrIuIiIiISLkcjtMC6RFlbnIi25mRrkC6iIiISHOhQHpzlF0USPetWiB9f0o2W49k4Ga1cLHKuoiIiIiIlC8vAwpzzXJA6Wtnm91B+klTIz3YV6VdRERERJoLBdKbo2qWdvl2kynrMiSulbJmREREREQqklnUaNQrCDx8Sr2ccbIAu8MsV6vZqIiIiIg0agqkN0fOQLpf1QLp84vKulzeR2VdREREREQqlJVkHitpNBrg5Y6Hmz5uiYiIiDQXurJrbhyOamWk70nKYsexTNytFi7qWfaHARERERERKZJVlJHuX3EgPUR3eoqIiIg0KwqkNzf52adqNlahRrqzyeg5ncMI1q2nIiIiIiIVK240Wk4gPdvURw9RfXQRERGRZkWB9OYmp6jRqLs3ePpVuvn8ovrol6qsi4iIiIhIpSzOQHoZjUYBjisjXURERKRZUiC9uTm9rIvFUuGmuxIz2Z2UhaeblQt7qKyLiIiIiEilijPSI8p8Oc0ZSNfdniIiIiLNigLpzU121eujO5uMDu8SRpCPbj0VEREREalUpjOQXk5GenFpFwXSRURERJoTBdKbG2dpF7+K66M7HI7Tyrq0qetZiYj8f3v3Hx1Vfefx/3VnkkwyIYH8IgGMBqtFoYAKkgLut62wIGqOtLZFoYjpCstKLJJvewpISClK7O452Wy7CK0LrudYKrW7dt1WsW62oceKgnGxuF9AKe1ihfwiP5mQhOTe7x/zA8eEyI/MTObe5+OcnMzcuTP5zHkHz2fevvO6AADYQyjaZeC/6Dw/kc6gCgAAgJ3QSLebzoubSD9S16HjjT4lJbg090ZiXQAAAICLcubTJtLJSAcAALAjGul24wtMpHsHn0gPTqN/8bM5SktmWgYAAAD4VL3dMrpa/bcvmJFOtAsAAIAd0Ui3m1C0y4Un0i3L0q8D+eh3Tx0bjVUBAAAAcc/d2Ri44ZFSMgY8pzkY7ZLKsAoAAICd0Ei3m85m//dBol3+92S7/ny6U54El+bcMPAkDQAAAIBwrrOBoZURuZJhDHjO+Yx0JtIBAADshEa63VxEtMuvAtPot98wWqmehGisCgAAAIh7ruBE+gViXSzLUgvRLgAAALZEI91uQtEuAzfSLcvSrw/589HvnkKsCwAAAHCxXL4G/420gS802t7Vqz7TkiSN8hLtAgAAYCc00u2m87T/+wWiXf7wlzZ92HxWKYlufemGnCguDAAAAIhvoYz0EbkDPt7i88e6eJPcSk50R2tZAAAAiAIa6XbSd07qavPfvkC0y68P+WNd5tw4Wt4kYl0AAACAi+UK/vXnBSbSW8hHBwAAsC0a6XYSnEY3XFLKqH4PW5alXwfy0e+eMiaKCwMAAADi36dlpIca6anEugAAANgNjXQ7CTbSUzIkV/8/Jf2fD1v1UetZpSa59cUJA2/+AQAAAAzsfLTLBSbSfVxoFAAAwK5opNuJL/CnpheKdQlMo8+dmEtmIwAAAHCJQhPpaRfISCfaBQAAwLZopNtJMLMxtX8j3TTPx7rcNZlYFwAAAOCSmH1ynQ38BeiFLjYaaKRnptJIBwAAsBsa6XbS2ez/7s3s99A7J1pU196lNE+C/p/P5kR5YQAAAECc6zwtw+qTJUNKHTgmsTkQ7TLKS0Y6AACA3dBIt5NBol1+FZhG/2tiXQAAAIBLd6be/z01W3InDHhKKxPpAAAAtkUj3U4uEO3SZ1p6+ZC/kX73VGJdAAAAgEsWbKRfINZFkpp9/kb6KDLSAQAAbIdGup10BjIbvVlhh9/+c7MaOrqVnpyg264j1gUAAAC4ZBfRSG/t9Ee7ZNJIBwAAsB0a6XZygWiXYKzL/El5Skqg5AAAAMAl66jzfx9sIr0zOJFORjoAAIDd0FW1kwEuNtpnWnrlPX8j/a4pxLoAAAAAl8PwNfhvXKCRblkWGekAAAA2RiPdTgbISH/r+Gk1nenRKG+iZl/X/yKkAAAAAC5Chz/axbpAI/1Md6/O9VmSpAyiXQAAAGyHRrpdWNbHMtLPN8x/FbjI6B2T8pToptwAAADAZTkTiHZJG7iRHsxHT050KSXJHa1VAQAAIErorNpFV5tk9vpvf+xio28e9zfX5026cJYjAAAAgE/xKRcbbfb5Y12YRgcAALAnGul2EZxGTxohJSZL8uc01rV1SZIKslJjtTIAAAAgvlmWdCaYkZ434CktnTTSAQAA7IxGul34AvnoH5tG7+juVWdPnyQpb2RyLFYFAAAAxL8en9TrH1DRiNEDnhJqpKcmRmtVAAAAiKKEWC8AQySUj36+kR6cRk9PTpA3iVIDAAAAl8UzQtZjDWo8cUTZSQP/pWeLz5+RzkQ6AACAPTGRbhedgYn01PMXGg020plGBwAAAK6Qyy3Tm3PBh4l2AQAAsDca6XYRinb5WCO93d9Iz02nkQ4AAABE0vloFxrpAAAAdkQj3S5C0S6ZoUP1gYn0MUykAwAAABF1PtqFjHQAAAA7iotG+tatW1VQUKDk5GQVFhZq//79g55fVVWlCRMmKCUlRfn5+VqzZo26urpCj/f19amsrEzjx49XSkqKPvOZz2jz5s2yLCvSbyVygo30j0W7nApMpOcxkQ4AAABEVHAiPZOJdAAAAFsa9leg3L17t0pLS7V9+3YVFhaqqqpK8+fP19GjRzV69Oh+5+/atUtr167Vzp07NWvWLL3//vt68MEHZRiGKisrJUk/+MEPtG3bNj377LOaNGmS3n77bRUXF2vkyJH61re+Fe23ODQGiHYJTqTnMpEOAAAARFSzz99IH0VGOgAAgC0N+4n0yspKLV++XMXFxZo4caK2b98ur9ernTt3Dnj+G2+8odmzZ2vx4sUqKCjQvHnzdP/994dNsb/xxhu65557dNddd6mgoEBf/epXNW/evE+ddB/WQtEuWaFDdUykAwAAAFHR2umPdsmkkQ4AAGBLw7qR3tPTo9raWs2dOzd0zOVyae7cudq3b9+Az5k1a5Zqa2tDTfHjx4/r5Zdf1p133hl2TnV1td5//31J0rvvvqvXX39dCxYsiOC7ibDOwET6x6Jd6rnYKAAAABBxlmWpuTM4kU5GOgAAgB0N62iXpqYm9fX1KTc3N+x4bm6ujhw5MuBzFi9erKamJt12222yLEu9vb1auXKl1q9fHzpn7dq1am9v1w033CC3262+vj498cQTWrJkyQXX0t3dre7u7tD99vZ2SZJpmjJN80re5iUxTVOWZfX7mYbvtAxJZkqmZJrq6TXVdMa/mc9NS4rqGjE0LlRr2A+1dg5q7RzU2jmGqtb8rsS3s+f61NPrryEZ6QAAAPY0rBvpl6OmpkZbtmzRU089pcLCQh07dkyrV6/W5s2bVVZWJkn6+c9/rp/+9KfatWuXJk2apIMHD+rRRx/V2LFjtWzZsgFft6KiQps2bep3vLGxMexCppFmmqba2tpkWZZcrsAfFPR2Ke+cz78enymrt0En2/xN/0S3oV5fqxo6jaitEUNjwFrDlqi1c1Br56DWzjFUte7o6BjCVSHaWgKxLklul7xJ7hivBgAAAJEwrBvp2dnZcrvdqq+vDzteX1+vvLy8AZ9TVlampUuX6qGHHpIkTZ48WT6fTytWrNBjjz0ml8ul73znO1q7dq3uu+++0Dn/93//p4qKigs20tetW6fS0tLQ/fb2duXn5ysnJ0fp6elD8XYvimmaMgxDOTk55z+stf1FkmS5EpVz1Wckw9CJsy2S/LEun5zoR3wYsNawJWrtHNTaOai1cwxVrZOTieKLZy2BC41mpCbKMBhgAQAAsKNh3UhPSkrStGnTVF1drYULF0ryf1iprq5WSUnJgM/p7Ozs9yHG7fZPhViWNeg5g/1Jrcfjkcfj6Xfc5XJF/QOyYRjhP/dss/+4N0tG4L02dPgn0vPSk/kAH8f61Rq2Ra2dg1o7B7V2jqGoNb8n8a0lkI+ewYVGAQAAbGtYN9IlqbS0VMuWLdP06dM1Y8YMVVVVyefzqbi4WJL0wAMPaNy4caqoqJAkFRUVqbKyUjfffHMo2qWsrExFRUWhhnpRUZGeeOIJXX311Zo0aZL+53/+R5WVlfrmN78Zs/d5RTpP+797s0KH6tr8cTN5I5luAgAAACKp2UcjHQAAwO6GfSN90aJFamxs1MaNG1VXV6ebbrpJe/bsCcWVnDhxImyCZ8OGDTIMQxs2bNBHH32knJycUOM86Ec/+pHKysr08MMPq6GhQWPHjtXf/u3fauPGjVF/f0Mi2EhPPd9Ir28PNNLTaaQDAAAAkdQayEjPSE2M8UoAAAAQKcO+kS5JJSUlF4xyqampCbufkJCg8vJylZeXX/D10tLSVFVVpaqqqiFcZQz5mvzfvdmhQ6eYSAcAAACigol0AAAA+yOM0Q4GiHYJTqTnMpEOAAAARFQrGekAAAC2RyPdDjoDE+mp5yfS69qZSAcAAACioTkU7UIjHQAAwK5opNtBKNrFP5FuWZbq27olkZEOAACAy7d161YVFBQoOTlZhYWF2r9//6DnV1VVacKECUpJSVF+fr7WrFmjrq6uK3rNeHB+Ip2MdAAAALuikW4Hnc3+74FGerOvRz19piSiXQAAAHB5du/erdLSUpWXl+udd97R1KlTNX/+fDU0NAx4/q5du7R27VqVl5fr8OHD2rFjh3bv3q3169df9mvGi1BGOhPpAAAAtkUj3Q4+Ee0SjHXJSk1SUgIlBgAAwKWrrKzU8uXLVVxcrIkTJ2r79u3yer3auXPngOe/8cYbmj17thYvXqyCggLNmzdP999/f9jE+aW+ZrxoDUa7kJEOAABgWwmxXgCGwCcuNsqFRgEAAHAlenp6VFtbq3Xr1oWOuVwuzZ07V/v27RvwObNmzdJzzz2n/fv3a8aMGTp+/LhefvllLV269LJfU5K6u7vV3d0dut/e3i5JMk1Tpmle0fu8FKZpyrKsAX9mcCJ9VEpCVNeEyBis1rAXau0c1No5qLVzDFWtL+X5NNLjndn3sWiXwER6IB99DBcaBQAAwGVoampSX1+fcnNzw47n5ubqyJEjAz5n8eLFampq0m233SbLstTb26uVK1eGol0u5zUlqaKiQps2bep3vLGxsV/+eiSZpqm2tjZZliWX6/xffXb1mjp7rk+S1OtrU0PvmaitCZFxoVrDfqi1c1Br56DWzjFUte7o6Ljoc2mkx7uzLZIs/21vpqTz0S65NNIBAAAQJTU1NdqyZYueeuopFRYW6tixY1q9erU2b96ssrKyy37ddevWqbS0NHS/vb1d+fn5ysnJUXp6+lAs/aKYpinDMJSTkxP2Ye1U21lJUoLL0Pir8mQYRtTWhMi4UK1hP9TaOai1c1Br5xiqWicnX3z/lEZ6vAvGuiSPlNyJkqS6wGY+j2gXAAAAXIbs7Gy53W7V19eHHa+vr1deXt6AzykrK9PSpUv10EMPSZImT54sn8+nFStW6LHHHrus15Qkj8cjj8fT77jL5Yr6B2TDMPr93Laz/mn0Ud4kud3uqK4HkTNQrWFP1No5qLVzUGvnGIpaX8pz+Y2Kd77AhUYDsS6SVNfuj3ahkQ4AAIDLkZSUpGnTpqm6ujp0zDRNVVdXa+bMmQM+p7Ozs98HkWBj2bKsy3rNeNDS6c9Hz0xNjPFKAAAAEElMpMe7zkAjPfV8I72+jWgXAAAAXJnS0lItW7ZM06dP14wZM1RVVSWfz6fi4mJJ0gMPPKBx48apoqJCklRUVKTKykrdfPPNoWiXsrIyFRUVhRrqn/aa8SjYSB/lTYrxSgAAABBJNNLjXTDaxZsVOhTMSOdiowAAALhcixYtUmNjozZu3Ki6ujrddNNN2rNnT+hioSdOnAibQN+wYYMMw9CGDRv00UcfKScnR0VFRXriiScu+jXjUYsvMJFOIx0AAMDWaKTHO194I/1sT5/azp6TJOUS7QIAAIArUFJSopKSkgEfq6mpCbufkJCg8vJylZeXX/ZrxqOWTv/eO4NoFwAAAFsjIz3efSLaJTiNnpLoVnoy/58EAAAAiKTmwER6BhPpAAAAtkYjPd59ItqlLpCPnjcyWYZhxGpVAAAAgCO0dtJIBwAAcAIa6fHOF5hI9/on0usDE+l5xLoAAAAAEdccinahkQ4AAGBnNNLj3QWiXfK40CgAAAAQcecn0slIBwAAsDMa6fGus9n/3Zsp6Xy0CxcaBQAAACIvlJHORDoAAICt0UiPZ5bVL9ollJGe7onVqgAAAADHaA1Gu5CRDgAAYGs00uNZzxmpr9t/u1+0S0qsVgUAAAA4Qk+vqTPdvZKkTBrpAAAAtkYjPZ51nvZ/T0iWEr2SPnaxUTLSAQAAgIgK5qO7DCktOSHGqwEAAEAk0UiPZ75AI92bLRmG+kxLDR3+CfU8MtIBAACAiGoONNJHeZPkchkxXg0AAAAiiUZ6POsM5KOnZkmSms50q8+05DKk7BH8aSkAAAAQSS2+YD56YoxXAgAAgEijkR7PgtEuXn8jPXih0Zw0jxLclBYAAACIpJbARDoXGgUAALA/uq3xzBeYSPdyoVEAAAAg2kKN9FQa6QAAAHZHIz2eBaNdAhPpoQuNpntitSIAAADAMVp8wYl0ol0AAADsjkZ6PAtGuwQy0k+1BRvpXGgUAAAAiLSWzkBGOhPpAAAAtkcjPZ75ghnp/miX+kAjPXckjXQAAAAg0s5PpNNIBwAAsDsa6fHskxcbDUS7jKGRDgAAAERcMCM9k0Y6AACA7dFIj2fBjPTU8IuN5hLtAgAAAERccyDaZRQZ6QAAALZHIz2efSzaxbIs1ZGRDgAAAERNa3AinYx0AAAA26ORHq/6zkndbf7b3ix1dPeqs6dPkpRHtAsAAAAQcc2BjPRRRLsAAADYHo30eBXMRzdcUkpG6EKjackJ8iYlxHBhAAAAgP2d6zPV0dUriYl0AAAAJ6CRHq+C+egpmZLLxYVGAQAAgChqDeSjG4Y0MoWMdAAAALujkR6vOpv9371ZkhTKR+dCowAAAEDkBfPRR6Ykyu0yYrwaAAAARBqN9HgVnEhPzZYk1bdzoVEAAAAgWoL56BnkowMAADgCjfR45Qs00gMT6acCE+lcaBQAAACIvJZAtEuGl1gXAAAAJ6CRHqeMT0S7hCbSaaQDAAAAEdfSyUQ6AACAk9BIj1efiHapI9oFAAAAiJpQIz2VRjoAAIAT0EiPV52n/d+9gUZ6W7ckLjYKAAAARENLKCOdaBcAAAAnoJEer0KN9Cz19JpqOuNvpBPtAgAAAEReKCOdiXQAAABHoJEer0LRLllq6PDHuiS6DWWS0QgAAABE3PmJdPbfAAAATkAjPV75zke7BC80mpueLJfLiOGiAAAAAGfgYqMAAADOEheN9K1bt6qgoEDJyckqLCzU/v37Bz2/qqpKEyZMUEpKivLz87VmzRp1dXWFnfPRRx/pG9/4hrKyspSSkqLJkyfr7bffjuTbGDqWFRbtEsxH50KjAAAAQHSEol3ISAcAAHCEhFgv4NPs3r1bpaWl2r59uwoLC1VVVaX58+fr6NGjGj16dL/zd+3apbVr12rnzp2aNWuW3n//fT344IMyDEOVlZWSpJaWFs2ePVtf+tKX9MorrygnJ0cffPCBMjIyov32LovR0y7D6vPfSc1WXftJSVIu+egAAABAVAQn0jPJSAcAAHCEYd9Ir6ys1PLly1VcXCxJ2r59u379619r586dWrt2bb/z33jjDc2ePVuLFy+WJBUUFOj+++/XW2+9FTrnBz/4gfLz8/XMM8+Ejo0fPz7C72TouM42+28kpUkJHtW1nZXERDoAAAAQDX2mpbaz/on0UUS7AAAAOMKwbqT39PSotrZW69atCx1zuVyaO3eu9u3bN+BzZs2apeeee0779+/XjBkzdPz4cb388staunRp6JyXXnpJ8+fP19e+9jXt3btX48aN08MPP6zly5dfcC3d3d3q7u4O3W9vb5ckmaYp0zSv9K1eNNM0ZQQa6ZY3U5Zp6lRbMCPdE9W1ILJM05RlWdTUAai1c1Br56DWzjFUteZ3Jb60nT0ny/LfHkW0CwAAgCMM60Z6U1OT+vr6lJubG3Y8NzdXR44cGfA5ixcvVlNTk2677TZZlqXe3l6tXLlS69evD51z/Phxbdu2TaWlpVq/fr0OHDigb33rW0pKStKyZcsGfN2Kigpt2rSp3/HGxsZ++euRZJqm+k7/RZJ0Lmmkmhsa9JfTHZKkFKtbDQ0NUVsLIss0TbW1tcmyLLlccXE5A1wmau0c1No5qLVzDFWtOzo6hnBViLRmnz/WJS05QYlu/o0DAAA4wbBupF+OmpoabdmyRU899ZQKCwt17NgxrV69Wps3b1ZZWZkk/wee6dOna8uWLZKkm2++We+99562b99+wUb6unXrVFpaGrrf3t6u/Px85eTkKD09PfJvLMA0TZ054p+MT0zP1ejRo9V89v+TJH02f7RGj86M2loQWaZpyjAM5eTk0ISxOWrtHNTaOai1cwxVrZOTieiLJ63kowMAADjOsG6kZ2dny+12q76+Pux4fX298vLyBnxOWVmZli5dqoceekiSNHnyZPl8Pq1YsUKPPfaYXC6XxowZo4kTJ4Y978Ybb9S//du/XXAtHo9HHo+n33GXyxX1D8ju7lZJkpGaIxmG6tr9jfWxo7x8WLcZwzBi8juG6KPWzkGtnYNaO8dQ1Jrfk/gSnEgnHx0AAMA5hvWOPSkpSdOmTVN1dXXomGmaqq6u1syZMwd8TmdnZ78PIm63W5JkBYIMZ8+eraNHj4ad8/777+uaa64ZyuVHTOhio6lZauk8p55ef6bm6PT+jX4AAAAAQ6u103+h0Uzy0QEAABxjWE+kS1JpaamWLVum6dOna8aMGaqqqpLP51NxcbEk6YEHHtC4ceNUUVEhSSoqKlJlZaVuvvnmULRLWVmZioqKQg31NWvWaNasWdqyZYu+/vWva//+/frJT36in/zkJzF7n5fC1RVopHuzVBe40GhWapI8Ce4YrgoAAABwhuZAtEsGE+kAAACOMewb6YsWLVJjY6M2btyouro63XTTTdqzZ0/oAqQnTpwIm0DfsGGDDMPQhg0b9NFHHyknJ0dFRUV64oknQufceuutevHFF7Vu3Tp9//vf1/jx41VVVaUlS5ZE/f1dDtfZFv8Nb7bq2/2N9Nx0cjUBAACAaGgJNtLJSAcAAHCMYd9Il6SSkhKVlJQM+FhNTU3Y/YSEBJWXl6u8vHzQ17z77rt19913D9USoyo0kZ6aHZpIzxtJIx0AAACIhhZfcCKdaBcAAACnGNYZ6RiY0RWcSM/SqTYm0gEAAIBoaglkpDORDgAA4Bw00uPQ+WiXLNUHGuljmEgHAAAAouL8RDqNdAAAAKegkR5vzp2Vq7fTfzs1W3WBjPQ8JtIBAACAqGjhYqMAAACOQyM93nSeliRZrkTJk37+YqNMpAMAAABRcT7ahYx0AAAAp6CRHm8CjXR5syTDYCIdAAAAiCLTtNQamEjPZCIdAADAMWikxxtfk/97apa6zvWpNTANk8dEOgAAABBx7V3nZFr+26NopAMAADgGjfR4czYwkZ6SpbrAhUZTEt1KT06I4aIAAAAAZwjGuozwJCgpgY9TAAAATsHOL974Ao301KzzsS4jk2UYRgwXBQAAADhD8EKjo7zkowMAADgJjfQ4Y3QGol282ecvNJruieGKAAAAAOcITqRnphLrAgAA4CQ00uNN4GKjlvd8tAsXGgUAAACio8UXnEinkQ4AAOAkNNLjTaCRLm+WTgUb6SNTYrggAAAAwDlagxPpRLsAAAA4Co30eOMLRLukno92ySPaBQAAAIiK5k4m0gEAAJyIRnq8Odvs/54SfrFRAAAAAJHXSkY6AACAI9FIjzehifQs1bcFLzZKIx0AAACIhuZARnoG0S4AAACOQiM9nph90tkWSVJfcpbqO7olSWPISAcAAACiojUQ7ZLBRDoAAICj0EiPJ2dbZMiSJJ3u86rPtOQypOwRbOIBAACAaGgJRLtkkJEOAADgKDTS40kg1sX0jFSdz5Qk5aR5lOCmjAAAAEA0tAQn0mmkAwAAOEpCrBeAS5D9WZn/7wc6ffJPqg9eaJR8dAAAACAqLMsKXWw0I5WMdAAAACehkR5PXC4pNVt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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(\"\\nPlotting training history...\")\n", - "fig, axes = plt.subplots(2, 2, figsize=(15, 10))\n", - "\n", - "# Accuracy\n", - "axes[0, 0].plot(history.history['accuracy'], label='Train')\n", - "axes[0, 0].plot(history.history['val_accuracy'], label='Validation')\n", - "axes[0, 0].set_title('Model Accuracy', fontsize=14)\n", - "axes[0, 0].set_xlabel('Epoch')\n", - "axes[0, 0].set_ylabel('Accuracy')\n", - "axes[0, 0].legend()\n", - "axes[0, 0].grid(alpha=0.3)\n", - "\n", - "# Loss\n", - "axes[0, 1].plot(history.history['loss'], label='Train')\n", - "axes[0, 1].plot(history.history['val_loss'], label='Validation')\n", - "axes[0, 1].set_title('Model Loss', fontsize=14)\n", - "axes[0, 1].set_xlabel('Epoch')\n", - "axes[0, 1].set_ylabel('Loss')\n", - "axes[0, 1].legend()\n", - "axes[0, 1].grid(alpha=0.3)\n", - "\n", - "# Precision\n", - "axes[1, 0].plot(history.history['precision'], label='Train')\n", - "axes[1, 0].plot(history.history['val_precision'], label='Validation')\n", - "axes[1, 0].set_title('Model Precision', fontsize=14)\n", - "axes[1, 0].set_xlabel('Epoch')\n", - "axes[1, 0].set_ylabel('Precision')\n", - "axes[1, 0].legend()\n", - "axes[1, 0].grid(alpha=0.3)\n", - "\n", - "# Recall\n", - "axes[1, 1].plot(history.history['recall'], label='Train')\n", - "axes[1, 1].plot(history.history['val_recall'], label='Validation')\n", - "axes[1, 1].set_title('Model Recall', fontsize=14)\n", - "axes[1, 1].set_xlabel('Epoch')\n", - "axes[1, 1].set_ylabel('Recall')\n", - "axes[1, 1].legend()\n", - "axes[1, 1].grid(alpha=0.3)\n", - "\n", - "plt.tight_layout()\n", - "plt.savefig('training_history.png', dpi=150, bbox_inches='tight')\n", - "print(\"Training history saved to: training_history.png\")\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "D0xMrk_ay06h", - "outputId": "06992b0d-c42a-45fb-87ae-4943a331031f" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "======================================================================\n", - "EVALUATION ON TEST SET\n", - "======================================================================\n", - "\u001b[1m704/704\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 8ms/step\n", - "\n", - "Test Loss: 0.0867\n", - "Test Accuracy: 0.9773\n", - "Test Precision: 0.9791\n", - "Test Recall: 0.9759\n", - "\n", - "Classification Report:\n", - " precision recall f1-score support\n", - "\n", - " F 0.8175 0.6438 0.7203 160\n", - " N 0.9842 0.9940 0.9890 18119\n", - " Q 0.9575 0.9700 0.9637 2230\n", - " S 0.9199 0.7644 0.8350 556\n", - " V 0.9531 0.8991 0.9253 1447\n", - "\n", - " accuracy 0.9773 22512\n", - " macro avg 0.9264 0.8542 0.8867 22512\n", - "weighted avg 0.9767 0.9773 0.9767 22512\n", - "\n", - "\n", - "Per-Class Detailed Metrics:\n", - "----------------------------------------------------------------------\n", - "Class Precision Recall F1-Score Support \n", - "----------------------------------------------------------------------\n", - "F 0.8175 0.6438 0.7203 160 \n", - "N 0.9842 0.9940 0.9890 18119 \n", - "Q 0.9575 0.9700 0.9637 2230 \n", - "S 0.9199 0.7644 0.8350 556 \n", - "V 0.9531 0.8991 0.9253 1447 \n" - ] - } - ], - "source": [ - "print(\"\\n\" + \"=\"*70)\n", - "print(\"EVALUATION ON TEST SET\")\n", - "print(\"=\"*70)\n", - "\n", - "# Make predictions\n", - "y_pred_probs = model.predict(X_test)\n", - "y_pred = np.argmax(y_pred_probs, axis=1)\n", - "y_true = np.argmax(y_test, axis=1)\n", - "\n", - "# Calculate metrics\n", - "test_loss, test_acc, test_prec, test_rec = model.evaluate(X_test, y_test, verbose=0)\n", - "print(f\"\\nTest Loss: {test_loss:.4f}\")\n", - "print(f\"Test Accuracy: {test_acc:.4f}\")\n", - "print(f\"Test Precision: {test_prec:.4f}\")\n", - "print(f\"Test Recall: {test_rec:.4f}\")\n", - "\n", - "# Classification Report\n", - "print(\"\\nClassification Report:\")\n", - "print(classification_report(y_true, y_pred, target_names=label_names, digits=4))\n", - "\n", - "# Per-class metrics\n", - "precision, recall, f1, support = precision_recall_fscore_support(y_true, y_pred)\n", - "print(\"\\nPer-Class Detailed Metrics:\")\n", - "print(\"-\" * 70)\n", - "print(f\"{'Class':<10} {'Precision':<12} {'Recall':<12} {'F1-Score':<12} {'Support':<10}\")\n", - "print(\"-\" * 70)\n", - "for i, label in enumerate(label_names):\n", - " print(f\"{label:<10} {precision[i]:<12.4f} {recall[i]:<12.4f} {f1[i]:<12.4f} {support[i]:<10}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "xfbbeDI1y1U7", - "outputId": "ef3fe49f-98f8-434a-c00a-5e9a0c25441a" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Generating confusion matrix...\n", - "Confusion matrix saved to: confusion_matrix.png\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Normalized confusion matrix saved to: confusion_matrix_normalized.png\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(\"\\nGenerating confusion matrix...\")\n", - "cm = confusion_matrix(y_true, y_pred)\n", - "\n", - "plt.figure(figsize=(10, 8))\n", - "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n", - " xticklabels=label_names, yticklabels=label_names,\n", - " cbar_kws={'label': 'Count'})\n", - "plt.title('Confusion Matrix - Test Set', fontsize=16, pad=20)\n", - "plt.xlabel('Predicted Label', fontsize=12)\n", - "plt.ylabel('True Label', fontsize=12)\n", - "plt.tight_layout()\n", - "plt.savefig('confusion_matrix.png', dpi=150, bbox_inches='tight')\n", - "print(\"Confusion matrix saved to: confusion_matrix.png\")\n", - "plt.show()\n", - "\n", - "# Normalized confusion matrix\n", - "cm_norm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n", - "\n", - "plt.figure(figsize=(6, 4))\n", - "sns.heatmap(cm_norm, annot=True, fmt='.2%', cmap='Blues',\n", - " xticklabels=label_names, yticklabels=label_names,\n", - " cbar_kws={'label': 'Percentage'})\n", - "plt.title('Normalized Confusion Matrix - Test Set', fontsize=16, pad=20)\n", - "plt.xlabel('Predicted Label', fontsize=12)\n", - "plt.ylabel('True Label', fontsize=12)\n", - "plt.tight_layout()\n", - "plt.savefig('confusion_matrix_normalized.png', dpi=150, bbox_inches='tight')\n", - "print(\"Normalized confusion matrix saved to: confusion_matrix_normalized.png\")\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 858 - }, - "id": "lp9srpAW9D4c", - "outputId": "f7ac13f8-941c-4495-bb31-f71f58a776a6" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Visualizing sample predictions...\n", - "Sample predictions saved to: sample_predictions.png\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(\"\\nVisualizing sample predictions...\")\n", - "num_samples = min(9, len(X_test))\n", - "random_indices = np.random.choice(len(X_test), num_samples, replace=False)\n", - "\n", - "fig, axes = plt.subplots(3, 3, figsize=(10, 8))\n", - "axes = axes.ravel()\n", - "\n", - "for i, idx in enumerate(random_indices):\n", - " true_label = label_names[y_true[idx]]\n", - " pred_label = label_names[y_pred[idx]]\n", - " confidence = y_pred_probs[idx][y_pred[idx]] * 100\n", - "\n", - " axes[i].plot(X_test[idx, :, 0])\n", - "\n", - " color = 'green' if true_label == pred_label else 'red'\n", - " axes[i].set_title(f'True: {true_label} | Pred: {pred_label} ({confidence:.1f}%)',\n", - " color=color, fontsize=10, fontweight='bold')\n", - " axes[i].set_xlabel('Sample')\n", - " axes[i].set_ylabel('Amplitude')\n", - " axes[i].grid(alpha=0.3)\n", - "\n", - "plt.tight_layout()\n", - "plt.savefig('sample_predictions.png', dpi=150, bbox_inches='tight')\n", - "print(\"Sample predictions saved to: sample_predictions.png\")\n", - "plt.show()" - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "gpuType": "T4", - "provenance": [] - }, - "kernelspec": { - "display_name": "venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.4" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":13397423,"sourceType":"datasetVersion","datasetId":8501829}],"dockerImageVersionId":31154,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import (classification_report, confusion_matrix,\n accuracy_score, precision_recall_fscore_support)\nimport tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow.keras import layers, models, callbacks\nfrom tensorflow.keras.utils import plot_model\n\n# Set random seeds for reproducibility\nnp.random.seed(42)\ntf.random.set_seed(42)","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:44:41.458735Z","iopub.execute_input":"2025-10-16T04:44:41.459059Z","iopub.status.idle":"2025-10-16T04:44:58.451561Z","shell.execute_reply.started":"2025-10-16T04:44:41.459038Z","shell.execute_reply":"2025-10-16T04:44:58.450723Z"}},"outputs":[{"name":"stderr","text":"2025-10-16 04:44:46.025288: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nE0000 00:00:1760589886.263189 37 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\nE0000 00:00:1760589886.331996 37 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}],"execution_count":1},{"cell_type":"code","source":"import numpy as np\n\n# Change the path to point to the Kaggle input directory.\n# Replace 'ecg-mitdb-processed' with the actual name of your Kaggle dataset.\nKAGGLE_DATA_PATH = '/kaggle/input/ecg-data/ecg_mitdb_processed.npz'\n\nprint(\"Loading preprocessed data from Kaggle Input...\")\ndata = np.load(KAGGLE_DATA_PATH)\nX = data['X']\ny = data['y']\nlabel_names = data['label_names']\n\nprint(f\"Data shape: X={X.shape}, y={y.shape}\")\nprint(f\"Classes: {label_names}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:01.420348Z","iopub.execute_input":"2025-10-16T04:45:01.420657Z","iopub.status.idle":"2025-10-16T04:45:03.816185Z","shell.execute_reply.started":"2025-10-16T04:45:01.420634Z","shell.execute_reply":"2025-10-16T04:45:03.815561Z"}},"outputs":[{"name":"stdout","text":"Loading preprocessed data from Kaggle Input...\nData shape: X=(112559, 250, 1), y=(112559, 5)\nClasses: ['F' 'N' 'Q' 'S' 'V']\n","output_type":"stream"}],"execution_count":2},{"cell_type":"code","source":"print(\"\\nSplitting data...\")\n# First split: 80% train+val, 20% test\nX_temp, X_test, y_temp, y_test = train_test_split(\n X, y, test_size=0.2, random_state=42, stratify=y.argmax(axis=1)\n)\n\n# Second split: 80% train, 20% validation (of the 80%)\nX_train, X_val, y_train, y_val = train_test_split(\n X_temp, y_temp, test_size=0.2, random_state=42, stratify=y_temp.argmax(axis=1)\n)\n\nprint(f\"Train set: {X_train.shape[0]} samples\")\nprint(f\"Validation set: {X_val.shape[0]} samples\")\nprint(f\"Test set: {X_test.shape[0]} samples\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:05.395381Z","iopub.execute_input":"2025-10-16T04:45:05.395709Z","iopub.status.idle":"2025-10-16T04:45:05.647877Z","shell.execute_reply.started":"2025-10-16T04:45:05.395686Z","shell.execute_reply":"2025-10-16T04:45:05.646996Z"}},"outputs":[{"name":"stdout","text":"\nSplitting data...\nTrain set: 72037 samples\nValidation set: 18010 samples\nTest set: 22512 samples\n","output_type":"stream"}],"execution_count":3},{"cell_type":"code","source":"def create_lstm_model(input_shape, num_classes):\n \"\"\"\n Create a Bidirectional LSTM model for ECG classification.\n \"\"\"\n model = models.Sequential([\n # First Bi-LSTM layer with return sequences\n layers.Bidirectional(\n layers.LSTM(128, return_sequences=True),\n input_shape=input_shape\n ),\n layers.Dropout(0.4),\n layers.BatchNormalization(),\n\n # Second Bi-LSTM layer\n layers.Bidirectional(layers.LSTM(64)),\n layers.Dropout(0.4),\n layers.BatchNormalization(),\n\n # Dense layers for classification\n layers.Dense(64, activation='relu'),\n layers.Dropout(0.4),\n layers.Dense(32, activation='relu'),\n layers.Dropout(0.2),\n\n # Output layer\n layers.Dense(num_classes, activation='softmax')\n ])\n return model\n\n# --- Model Configuration ---\n\ninput_shape = (X_train.shape[1], X_train.shape[2]) # (250, 1)\nnum_classes = y_train.shape[1]\n\n# Callbacks for smart training\nearly_stop = keras.callbacks.EarlyStopping(\n monitor='val_loss',\n patience=15,\n restore_best_weights=True\n)\n\nreduce_lr = keras.callbacks.ReduceLROnPlateau(\n monitor='val_loss',\n factor=0.2,\n patience=5,\n min_lr=1e-6\n)\n\n# --- Create, Compile, and Train Model ---\n\nprint(\"\\nBuilding model...\")\nmodel = create_lstm_model(input_shape, num_classes)\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:07.650491Z","iopub.execute_input":"2025-10-16T04:45:07.650815Z","iopub.status.idle":"2025-10-16T04:45:10.193216Z","shell.execute_reply.started":"2025-10-16T04:45:07.650790Z","shell.execute_reply":"2025-10-16T04:45:10.192611Z"}},"outputs":[{"name":"stdout","text":"\nBuilding model...\n","output_type":"stream"},{"name":"stderr","text":"I0000 00:00:1760589908.617383 37 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13942 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5\nI0000 00:00:1760589908.618081 37 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 13942 MB memory: -> device: 1, name: Tesla T4, pci bus id: 0000:00:05.0, compute capability: 7.5\n/usr/local/lib/python3.11/dist-packages/keras/src/layers/rnn/bidirectional.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n super().__init__(**kwargs)\n","output_type":"stream"}],"execution_count":4},{"cell_type":"code","source":"model.compile(\n optimizer=keras.optimizers.Adam(learning_rate=0.001),\n loss='categorical_crossentropy',\n metrics=['accuracy', keras.metrics.Precision(), keras.metrics.Recall()]\n)\n\n# --- Add this section before creating the model ---\n# Set up the strategy to use all available GPUs\n\n# The model.fit() part remains exactly the same","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:11.545096Z","iopub.execute_input":"2025-10-16T04:45:11.545380Z","iopub.status.idle":"2025-10-16T04:45:11.567183Z","shell.execute_reply.started":"2025-10-16T04:45:11.545359Z","shell.execute_reply":"2025-10-16T04:45:11.566606Z"}},"outputs":[],"execution_count":5},{"cell_type":"code","source":"print(\"\\nTraining model...\")\nhistory = model.fit(\n X_train, y_train,\n validation_data=(X_val, y_val),\n epochs=50, # Train for longer, EarlyStopping will handle it\n batch_size=256,\n callbacks=[early_stop, reduce_lr],\n verbose=1\n)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:14.370797Z","iopub.execute_input":"2025-10-16T04:45:14.371080Z","iopub.status.idle":"2025-10-16T05:12:27.512852Z","shell.execute_reply.started":"2025-10-16T04:45:14.371060Z","shell.execute_reply":"2025-10-16T05:12:27.512226Z"}},"outputs":[{"name":"stdout","text":"\nTraining model...\nEpoch 1/50\n","output_type":"stream"},{"name":"stderr","text":"I0000 00:00:1760589922.794270 97 cuda_dnn.cc:529] Loaded cuDNN version 90300\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 111ms/step - accuracy: 0.7511 - loss: 0.7487 - precision: 0.8095 - recall: 0.6616 - val_accuracy: 0.8793 - val_loss: 0.4080 - val_precision: 0.9048 - val_recall: 0.8441 - learning_rate: 0.0010\nEpoch 2/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 109ms/step - accuracy: 0.8785 - loss: 0.4038 - precision: 0.9033 - recall: 0.8487 - val_accuracy: 0.8745 - val_loss: 0.3987 - val_precision: 0.9088 - val_recall: 0.8549 - learning_rate: 0.0010\nEpoch 3/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 113ms/step - accuracy: 0.9037 - loss: 0.3253 - precision: 0.9270 - recall: 0.8789 - val_accuracy: 0.9328 - val_loss: 0.2172 - val_precision: 0.9513 - val_recall: 0.9184 - learning_rate: 0.0010\nEpoch 4/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 117ms/step - accuracy: 0.9301 - loss: 0.2525 - precision: 0.9477 - recall: 0.9131 - val_accuracy: 0.9484 - val_loss: 0.1735 - val_precision: 0.9621 - val_recall: 0.9349 - learning_rate: 0.0010\nEpoch 5/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9392 - loss: 0.2196 - precision: 0.9550 - recall: 0.9249 - val_accuracy: 0.9421 - val_loss: 0.2012 - val_precision: 0.9557 - val_recall: 0.9304 - learning_rate: 0.0010\nEpoch 6/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 114ms/step - accuracy: 0.9382 - loss: 0.2286 - precision: 0.9508 - recall: 0.9243 - val_accuracy: 0.9578 - val_loss: 0.1442 - val_precision: 0.9676 - val_recall: 0.9490 - learning_rate: 0.0010\nEpoch 7/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9495 - loss: 0.1867 - precision: 0.9593 - recall: 0.9399 - val_accuracy: 0.9582 - val_loss: 0.1461 - val_precision: 0.9653 - val_recall: 0.9521 - learning_rate: 0.0010\nEpoch 8/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9529 - loss: 0.1667 - precision: 0.9618 - recall: 0.9458 - val_accuracy: 0.9552 - val_loss: 0.1434 - val_precision: 0.9649 - val_recall: 0.9466 - learning_rate: 0.0010\nEpoch 9/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9570 - loss: 0.1524 - precision: 0.9649 - recall: 0.9507 - val_accuracy: 0.9581 - val_loss: 0.1405 - val_precision: 0.9648 - val_recall: 0.9522 - learning_rate: 0.0010\nEpoch 10/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9551 - loss: 0.1598 - precision: 0.9631 - recall: 0.9477 - val_accuracy: 0.9631 - val_loss: 0.1212 - val_precision: 0.9689 - val_recall: 0.9588 - learning_rate: 0.0010\nEpoch 11/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9581 - loss: 0.1502 - precision: 0.9654 - recall: 0.9512 - val_accuracy: 0.9675 - val_loss: 0.1006 - val_precision: 0.9727 - val_recall: 0.9627 - learning_rate: 0.0010\nEpoch 12/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9634 - loss: 0.1294 - precision: 0.9693 - recall: 0.9583 - val_accuracy: 0.9664 - val_loss: 0.1087 - val_precision: 0.9716 - val_recall: 0.9624 - learning_rate: 0.0010\nEpoch 13/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9640 - loss: 0.1275 - precision: 0.9701 - recall: 0.9591 - val_accuracy: 0.9690 - val_loss: 0.1044 - val_precision: 0.9729 - val_recall: 0.9655 - learning_rate: 0.0010\nEpoch 14/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9670 - loss: 0.1206 - precision: 0.9720 - recall: 0.9621 - val_accuracy: 0.9721 - val_loss: 0.0948 - val_precision: 0.9765 - val_recall: 0.9691 - learning_rate: 0.0010\nEpoch 15/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9668 - loss: 0.1158 - precision: 0.9724 - recall: 0.9626 - val_accuracy: 0.9730 - val_loss: 0.0918 - val_precision: 0.9768 - val_recall: 0.9705 - learning_rate: 0.0010\nEpoch 16/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9682 - loss: 0.1133 - precision: 0.9728 - recall: 0.9639 - val_accuracy: 0.9722 - val_loss: 0.0954 - val_precision: 0.9759 - val_recall: 0.9686 - learning_rate: 0.0010\nEpoch 17/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9668 - loss: 0.1136 - precision: 0.9724 - recall: 0.9625 - val_accuracy: 0.9744 - val_loss: 0.0823 - val_precision: 0.9788 - val_recall: 0.9711 - learning_rate: 0.0010\nEpoch 18/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9714 - loss: 0.1025 - precision: 0.9756 - recall: 0.9677 - val_accuracy: 0.9762 - val_loss: 0.0851 - val_precision: 0.9781 - val_recall: 0.9742 - learning_rate: 0.0010\nEpoch 19/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9729 - loss: 0.0995 - precision: 0.9763 - recall: 0.9695 - val_accuracy: 0.9774 - val_loss: 0.0789 - val_precision: 0.9790 - val_recall: 0.9751 - learning_rate: 0.0010\nEpoch 20/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9729 - loss: 0.0972 - precision: 0.9766 - recall: 0.9694 - val_accuracy: 0.9762 - val_loss: 0.0845 - val_precision: 0.9786 - val_recall: 0.9747 - learning_rate: 0.0010\nEpoch 21/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9747 - loss: 0.0936 - precision: 0.9782 - recall: 0.9716 - val_accuracy: 0.9793 - val_loss: 0.0733 - val_precision: 0.9813 - val_recall: 0.9775 - learning_rate: 0.0010\nEpoch 22/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9737 - loss: 0.0960 - precision: 0.9769 - recall: 0.9703 - val_accuracy: 0.9774 - val_loss: 0.0833 - val_precision: 0.9799 - val_recall: 0.9751 - learning_rate: 0.0010\nEpoch 23/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9747 - loss: 0.0884 - precision: 0.9778 - recall: 0.9718 - val_accuracy: 0.9790 - val_loss: 0.0786 - val_precision: 0.9806 - val_recall: 0.9771 - learning_rate: 0.0010\nEpoch 24/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9762 - loss: 0.0841 - precision: 0.9794 - recall: 0.9737 - val_accuracy: 0.9815 - val_loss: 0.0703 - val_precision: 0.9831 - val_recall: 0.9801 - learning_rate: 0.0010\nEpoch 25/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9742 - loss: 0.0906 - precision: 0.9769 - recall: 0.9717 - val_accuracy: 0.9799 - val_loss: 0.0760 - val_precision: 0.9814 - val_recall: 0.9781 - learning_rate: 0.0010\nEpoch 26/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9768 - loss: 0.0831 - precision: 0.9795 - recall: 0.9748 - val_accuracy: 0.9787 - val_loss: 0.0781 - val_precision: 0.9807 - val_recall: 0.9770 - learning_rate: 0.0010\nEpoch 27/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9735 - loss: 0.0921 - precision: 0.9765 - recall: 0.9703 - val_accuracy: 0.9806 - val_loss: 0.0736 - val_precision: 0.9823 - val_recall: 0.9790 - learning_rate: 0.0010\nEpoch 28/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9752 - loss: 0.0893 - precision: 0.9782 - recall: 0.9725 - val_accuracy: 0.9817 - val_loss: 0.0650 - val_precision: 0.9835 - val_recall: 0.9803 - learning_rate: 0.0010\nEpoch 29/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9779 - loss: 0.0750 - precision: 0.9806 - recall: 0.9758 - val_accuracy: 0.9812 - val_loss: 0.0691 - val_precision: 0.9828 - val_recall: 0.9798 - learning_rate: 0.0010\nEpoch 30/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9755 - loss: 0.0867 - precision: 0.9781 - recall: 0.9731 - val_accuracy: 0.9820 - val_loss: 0.0638 - val_precision: 0.9835 - val_recall: 0.9803 - learning_rate: 0.0010\nEpoch 31/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9787 - loss: 0.0736 - precision: 0.9810 - recall: 0.9767 - val_accuracy: 0.9832 - val_loss: 0.0614 - val_precision: 0.9847 - val_recall: 0.9815 - learning_rate: 0.0010\nEpoch 32/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9795 - loss: 0.0720 - precision: 0.9811 - recall: 0.9775 - val_accuracy: 0.9819 - val_loss: 0.0658 - val_precision: 0.9832 - val_recall: 0.9808 - learning_rate: 0.0010\nEpoch 33/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9772 - loss: 0.0808 - precision: 0.9803 - recall: 0.9750 - val_accuracy: 0.9827 - val_loss: 0.0629 - val_precision: 0.9844 - val_recall: 0.9816 - learning_rate: 0.0010\nEpoch 34/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9793 - loss: 0.0721 - precision: 0.9815 - recall: 0.9774 - val_accuracy: 0.9799 - val_loss: 0.0780 - val_precision: 0.9813 - val_recall: 0.9782 - learning_rate: 0.0010\nEpoch 35/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9804 - loss: 0.0686 - precision: 0.9826 - recall: 0.9787 - val_accuracy: 0.9833 - val_loss: 0.0588 - val_precision: 0.9846 - val_recall: 0.9820 - learning_rate: 0.0010\nEpoch 36/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9811 - loss: 0.0686 - precision: 0.9827 - recall: 0.9793 - val_accuracy: 0.9821 - val_loss: 0.0669 - val_precision: 0.9836 - val_recall: 0.9812 - learning_rate: 0.0010\nEpoch 37/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9822 - loss: 0.0633 - precision: 0.9838 - recall: 0.9806 - val_accuracy: 0.9830 - val_loss: 0.0670 - val_precision: 0.9843 - val_recall: 0.9822 - learning_rate: 0.0010\nEpoch 38/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9815 - loss: 0.0626 - precision: 0.9832 - recall: 0.9798 - val_accuracy: 0.9819 - val_loss: 0.0707 - val_precision: 0.9829 - val_recall: 0.9811 - learning_rate: 0.0010\nEpoch 39/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9808 - loss: 0.0669 - precision: 0.9825 - recall: 0.9794 - val_accuracy: 0.9819 - val_loss: 0.0630 - val_precision: 0.9834 - val_recall: 0.9805 - learning_rate: 0.0010\nEpoch 40/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9819 - loss: 0.0638 - precision: 0.9834 - recall: 0.9804 - val_accuracy: 0.9790 - val_loss: 0.0792 - val_precision: 0.9809 - val_recall: 0.9770 - learning_rate: 0.0010\nEpoch 41/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9827 - loss: 0.0611 - precision: 0.9844 - recall: 0.9814 - val_accuracy: 0.9861 - val_loss: 0.0502 - val_precision: 0.9869 - val_recall: 0.9851 - learning_rate: 2.0000e-04\nEpoch 42/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9857 - loss: 0.0485 - precision: 0.9869 - recall: 0.9845 - val_accuracy: 0.9864 - val_loss: 0.0498 - val_precision: 0.9873 - val_recall: 0.9858 - learning_rate: 2.0000e-04\nEpoch 43/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9865 - loss: 0.0458 - precision: 0.9878 - recall: 0.9856 - val_accuracy: 0.9869 - val_loss: 0.0490 - val_precision: 0.9877 - val_recall: 0.9863 - learning_rate: 2.0000e-04\nEpoch 44/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9879 - loss: 0.0425 - precision: 0.9888 - recall: 0.9871 - val_accuracy: 0.9870 - val_loss: 0.0498 - val_precision: 0.9879 - val_recall: 0.9865 - learning_rate: 2.0000e-04\nEpoch 45/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9873 - loss: 0.0434 - precision: 0.9886 - recall: 0.9864 - val_accuracy: 0.9873 - val_loss: 0.0495 - val_precision: 0.9880 - val_recall: 0.9866 - learning_rate: 2.0000e-04\nEpoch 46/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9883 - loss: 0.0398 - precision: 0.9893 - recall: 0.9873 - val_accuracy: 0.9873 - val_loss: 0.0492 - val_precision: 0.9881 - val_recall: 0.9867 - learning_rate: 2.0000e-04\nEpoch 47/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9883 - loss: 0.0404 - precision: 0.9893 - recall: 0.9873 - val_accuracy: 0.9880 - val_loss: 0.0489 - val_precision: 0.9884 - val_recall: 0.9873 - learning_rate: 2.0000e-04\nEpoch 48/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9883 - loss: 0.0396 - precision: 0.9893 - recall: 0.9876 - val_accuracy: 0.9869 - val_loss: 0.0484 - val_precision: 0.9880 - val_recall: 0.9864 - learning_rate: 2.0000e-04\nEpoch 49/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9884 - loss: 0.0384 - precision: 0.9893 - recall: 0.9876 - val_accuracy: 0.9875 - val_loss: 0.0507 - val_precision: 0.9883 - val_recall: 0.9867 - learning_rate: 2.0000e-04\nEpoch 50/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9887 - loss: 0.0370 - precision: 0.9897 - recall: 0.9879 - val_accuracy: 0.9873 - val_loss: 0.0512 - val_precision: 0.9881 - val_recall: 0.9865 - learning_rate: 2.0000e-04\n","output_type":"stream"}],"execution_count":6},{"cell_type":"code","source":"print(\"\\nSaving model...\")\nmodel.save('ecg_classifier.keras')\nprint(\"Model saved successfully!\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:18:45.511514Z","iopub.execute_input":"2025-10-16T05:18:45.512169Z","iopub.status.idle":"2025-10-16T05:18:45.612197Z","shell.execute_reply.started":"2025-10-16T05:18:45.512146Z","shell.execute_reply":"2025-10-16T05:18:45.611383Z"}},"outputs":[{"name":"stdout","text":"\nSaving model...\nModel saved successfully!\n","output_type":"stream"}],"execution_count":11},{"cell_type":"code","source":"print(\"\\nPlotting training history...\")\nfig, axes = plt.subplots(2, 2, figsize=(15, 10))\n\n# Accuracy\naxes[0, 0].plot(history.history['accuracy'], label='Train')\naxes[0, 0].plot(history.history['val_accuracy'], label='Validation')\naxes[0, 0].set_title('Model Accuracy', fontsize=14)\naxes[0, 0].set_xlabel('Epoch')\naxes[0, 0].set_ylabel('Accuracy')\naxes[0, 0].legend()\naxes[0, 0].grid(alpha=0.3)\n\n# Loss\naxes[0, 1].plot(history.history['loss'], label='Train')\naxes[0, 1].plot(history.history['val_loss'], label='Validation')\naxes[0, 1].set_title('Model Loss', fontsize=14)\naxes[0, 1].set_xlabel('Epoch')\naxes[0, 1].set_ylabel('Loss')\naxes[0, 1].legend()\naxes[0, 1].grid(alpha=0.3)\n\n# Precision\naxes[1, 0].plot(history.history['precision'], label='Train')\naxes[1, 0].plot(history.history['val_precision'], label='Validation')\naxes[1, 0].set_title('Model Precision', fontsize=14)\naxes[1, 0].set_xlabel('Epoch')\naxes[1, 0].set_ylabel('Precision')\naxes[1, 0].legend()\naxes[1, 0].grid(alpha=0.3)\n\n# Recall\naxes[1, 1].plot(history.history['recall'], label='Train')\naxes[1, 1].plot(history.history['val_recall'], label='Validation')\naxes[1, 1].set_title('Model Recall', fontsize=14)\naxes[1, 1].set_xlabel('Epoch')\naxes[1, 1].set_ylabel('Recall')\naxes[1, 1].legend()\naxes[1, 1].grid(alpha=0.3)\n\nplt.tight_layout()\nplt.savefig('training_history.png', dpi=150, bbox_inches='tight')\nprint(\"Training history saved to: training_history.png\")\nplt.show()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:12:38.836499Z","iopub.execute_input":"2025-10-16T05:12:38.837049Z","iopub.status.idle":"2025-10-16T05:12:40.551812Z","shell.execute_reply.started":"2025-10-16T05:12:38.837025Z","shell.execute_reply":"2025-10-16T05:12:40.550975Z"}},"outputs":[{"name":"stdout","text":"\nPlotting training history...\nTraining history saved to: training_history.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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+ \"=\"*70)\nprint(\"EVALUATION ON TEST SET\")\nprint(\"=\"*70)\n\n# Make predictions\ny_pred_probs = model.predict(X_test)\ny_pred = np.argmax(y_pred_probs, axis=1)\ny_true = np.argmax(y_test, axis=1)\n\n# Calculate metrics\ntest_loss, test_acc, test_prec, test_rec = model.evaluate(X_test, y_test, verbose=0)\nprint(f\"\\nTest Loss: {test_loss:.4f}\")\nprint(f\"Test Accuracy: {test_acc:.4f}\")\nprint(f\"Test Precision: {test_prec:.4f}\")\nprint(f\"Test Recall: {test_rec:.4f}\")\n\n# Classification Report\nprint(\"\\nClassification Report:\")\nprint(classification_report(y_true, y_pred, target_names=label_names, digits=4))\n\n# Per-class metrics\nprecision, recall, f1, support = precision_recall_fscore_support(y_true, y_pred)\nprint(\"\\nPer-Class Detailed Metrics:\")\nprint(\"-\" * 70)\nprint(f\"{'Class':<10} {'Precision':<12} {'Recall':<12} {'F1-Score':<12} {'Support':<10}\")\nprint(\"-\" * 70)\nfor i, label in enumerate(label_names):\n print(f\"{label:<10} {precision[i]:<12.4f} {recall[i]:<12.4f} {f1[i]:<12.4f} {support[i]:<10}\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:12:47.051906Z","iopub.execute_input":"2025-10-16T05:12:47.052618Z","iopub.status.idle":"2025-10-16T05:13:08.722857Z","shell.execute_reply.started":"2025-10-16T05:12:47.052570Z","shell.execute_reply":"2025-10-16T05:13:08.722083Z"}},"outputs":[{"name":"stdout","text":"\n======================================================================\nEVALUATION ON TEST SET\n======================================================================\n\u001b[1m704/704\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 14ms/step\n\nTest Loss: 0.0520\nTest Accuracy: 0.9855\nTest Precision: 0.9863\nTest Recall: 0.9852\n\nClassification Report:\n precision recall f1-score support\n\n F 0.8611 0.7750 0.8158 160\n N 0.9917 0.9929 0.9923 18119\n Q 0.9764 0.9843 0.9803 2230\n S 0.9147 0.8489 0.8806 556\n V 0.9604 0.9710 0.9656 1447\n\n accuracy 0.9855 22512\n macro avg 0.9409 0.9144 0.9269 22512\nweighted avg 0.9853 0.9855 0.9854 22512\n\n\nPer-Class Detailed Metrics:\n----------------------------------------------------------------------\nClass Precision Recall F1-Score Support \n----------------------------------------------------------------------\nF 0.8611 0.7750 0.8158 160 \nN 0.9917 0.9929 0.9923 18119 \nQ 0.9764 0.9843 0.9803 2230 \nS 0.9147 0.8489 0.8806 556 \nV 0.9604 0.9710 0.9656 1447 \n","output_type":"stream"}],"execution_count":8},{"cell_type":"code","source":"print(\"\\nGenerating confusion matrix...\")\ncm = confusion_matrix(y_true, y_pred)\n\nplt.figure(figsize=(10, 8))\nsns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n xticklabels=label_names, yticklabels=label_names,\n cbar_kws={'label': 'Count'})\nplt.title('Confusion Matrix - Test Set', fontsize=16, pad=20)\nplt.xlabel('Predicted Label', fontsize=12)\nplt.ylabel('True Label', fontsize=12)\nplt.tight_layout()\nplt.savefig('confusion_matrix.png', dpi=150, bbox_inches='tight')\nprint(\"Confusion matrix saved to: confusion_matrix.png\")\nplt.show()\n\n# Normalized confusion matrix\ncm_norm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n\nplt.figure(figsize=(6, 4))\nsns.heatmap(cm_norm, annot=True, fmt='.2%', cmap='Blues',\n xticklabels=label_names, yticklabels=label_names,\n cbar_kws={'label': 'Percentage'})\nplt.title('Normalized Confusion Matrix - Test Set', fontsize=16, pad=20)\nplt.xlabel('Predicted Label', fontsize=12)\nplt.ylabel('True Label', fontsize=12)\nplt.tight_layout()\nplt.savefig('confusion_matrix_normalized.png', dpi=150, bbox_inches='tight')\nprint(\"Normalized confusion matrix saved to: confusion_matrix_normalized.png\")\nplt.show()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:13:57.327154Z","iopub.execute_input":"2025-10-16T05:13:57.327776Z","iopub.status.idle":"2025-10-16T05:13:58.642306Z","shell.execute_reply.started":"2025-10-16T05:13:57.327751Z","shell.execute_reply":"2025-10-16T05:13:58.641603Z"}},"outputs":[{"name":"stdout","text":"\nGenerating confusion matrix...\nConfusion matrix saved to: confusion_matrix.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}},{"name":"stdout","text":"Normalized confusion matrix saved to: confusion_matrix_normalized.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}],"execution_count":9},{"cell_type":"code","source":"print(\"\\nVisualizing sample predictions...\")\nnum_samples = min(9, len(X_test))\nrandom_indices = np.random.choice(len(X_test), num_samples, replace=False)\n\nfig, axes = plt.subplots(3, 3, figsize=(10, 8))\naxes = axes.ravel()\n\nfor i, idx in enumerate(random_indices):\n true_label = label_names[y_true[idx]]\n pred_label = label_names[y_pred[idx]]\n confidence = y_pred_probs[idx][y_pred[idx]] * 100\n\n axes[i].plot(X_test[idx, :, 0])\n\n color = 'green' if true_label == pred_label else 'red'\n axes[i].set_title(f'True: {true_label} | Pred: {pred_label} ({confidence:.1f}%)',\n color=color, fontsize=10, fontweight='bold')\n axes[i].set_xlabel('Sample')\n axes[i].set_ylabel('Amplitude')\n axes[i].grid(alpha=0.3)\n\nplt.tight_layout()\nplt.savefig('sample_predictions.png', dpi=150, bbox_inches='tight')\nprint(\"Sample predictions saved to: sample_predictions.png\")\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:15:09.756461Z","iopub.execute_input":"2025-10-16T05:15:09.757357Z","iopub.status.idle":"2025-10-16T05:15:12.068414Z","shell.execute_reply.started":"2025-10-16T05:15:09.757323Z","shell.execute_reply":"2025-10-16T05:15:12.067502Z"}},"outputs":[{"name":"stdout","text":"\nVisualizing sample predictions...\nSample predictions saved to: sample_predictions.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}],"execution_count":10},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]} \ No newline at end of file From bf01113265d16f1f76f1e8da1a11873366d9f96d Mon Sep 17 00:00:00 2001 From: Ishant Singh Date: Tue, 21 Oct 2025 23:53:56 +0530 Subject: [PATCH 2/2] Optimize model hyperparameters --- lstm_model.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lstm_model.ipynb b/lstm_model.ipynb index 109fbda..a6cd299 100644 --- a/lstm_model.ipynb +++ b/lstm_model.ipynb @@ -1 +1 @@ -{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":13397423,"sourceType":"datasetVersion","datasetId":8501829}],"dockerImageVersionId":31154,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import (classification_report, confusion_matrix,\n accuracy_score, precision_recall_fscore_support)\nimport tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow.keras import layers, models, callbacks\nfrom tensorflow.keras.utils import plot_model\n\n# Set random seeds for reproducibility\nnp.random.seed(42)\ntf.random.set_seed(42)","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:44:41.458735Z","iopub.execute_input":"2025-10-16T04:44:41.459059Z","iopub.status.idle":"2025-10-16T04:44:58.451561Z","shell.execute_reply.started":"2025-10-16T04:44:41.459038Z","shell.execute_reply":"2025-10-16T04:44:58.450723Z"}},"outputs":[{"name":"stderr","text":"2025-10-16 04:44:46.025288: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nE0000 00:00:1760589886.263189 37 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\nE0000 00:00:1760589886.331996 37 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}],"execution_count":1},{"cell_type":"code","source":"import numpy as np\n\n# Change the path to point to the Kaggle input directory.\n# Replace 'ecg-mitdb-processed' with the actual name of your Kaggle dataset.\nKAGGLE_DATA_PATH = '/kaggle/input/ecg-data/ecg_mitdb_processed.npz'\n\nprint(\"Loading preprocessed data from Kaggle Input...\")\ndata = np.load(KAGGLE_DATA_PATH)\nX = data['X']\ny = data['y']\nlabel_names = data['label_names']\n\nprint(f\"Data shape: X={X.shape}, y={y.shape}\")\nprint(f\"Classes: {label_names}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:01.420348Z","iopub.execute_input":"2025-10-16T04:45:01.420657Z","iopub.status.idle":"2025-10-16T04:45:03.816185Z","shell.execute_reply.started":"2025-10-16T04:45:01.420634Z","shell.execute_reply":"2025-10-16T04:45:03.815561Z"}},"outputs":[{"name":"stdout","text":"Loading preprocessed data from Kaggle Input...\nData shape: X=(112559, 250, 1), y=(112559, 5)\nClasses: ['F' 'N' 'Q' 'S' 'V']\n","output_type":"stream"}],"execution_count":2},{"cell_type":"code","source":"print(\"\\nSplitting data...\")\n# First split: 80% train+val, 20% test\nX_temp, X_test, y_temp, y_test = train_test_split(\n X, y, test_size=0.2, random_state=42, stratify=y.argmax(axis=1)\n)\n\n# Second split: 80% train, 20% validation (of the 80%)\nX_train, X_val, y_train, y_val = train_test_split(\n X_temp, y_temp, test_size=0.2, random_state=42, stratify=y_temp.argmax(axis=1)\n)\n\nprint(f\"Train set: {X_train.shape[0]} samples\")\nprint(f\"Validation set: {X_val.shape[0]} samples\")\nprint(f\"Test set: {X_test.shape[0]} samples\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:05.395381Z","iopub.execute_input":"2025-10-16T04:45:05.395709Z","iopub.status.idle":"2025-10-16T04:45:05.647877Z","shell.execute_reply.started":"2025-10-16T04:45:05.395686Z","shell.execute_reply":"2025-10-16T04:45:05.646996Z"}},"outputs":[{"name":"stdout","text":"\nSplitting data...\nTrain set: 72037 samples\nValidation set: 18010 samples\nTest set: 22512 samples\n","output_type":"stream"}],"execution_count":3},{"cell_type":"code","source":"def create_lstm_model(input_shape, num_classes):\n \"\"\"\n Create a Bidirectional LSTM model for ECG classification.\n \"\"\"\n model = models.Sequential([\n # First Bi-LSTM layer with return sequences\n layers.Bidirectional(\n layers.LSTM(128, return_sequences=True),\n input_shape=input_shape\n ),\n layers.Dropout(0.4),\n layers.BatchNormalization(),\n\n # Second Bi-LSTM layer\n layers.Bidirectional(layers.LSTM(64)),\n layers.Dropout(0.4),\n layers.BatchNormalization(),\n\n # Dense layers for classification\n layers.Dense(64, activation='relu'),\n layers.Dropout(0.4),\n layers.Dense(32, activation='relu'),\n layers.Dropout(0.2),\n\n # Output layer\n layers.Dense(num_classes, activation='softmax')\n ])\n return model\n\n# --- Model Configuration ---\n\ninput_shape = (X_train.shape[1], X_train.shape[2]) # (250, 1)\nnum_classes = y_train.shape[1]\n\n# Callbacks for smart training\nearly_stop = keras.callbacks.EarlyStopping(\n monitor='val_loss',\n patience=15,\n restore_best_weights=True\n)\n\nreduce_lr = keras.callbacks.ReduceLROnPlateau(\n monitor='val_loss',\n factor=0.2,\n patience=5,\n min_lr=1e-6\n)\n\n# --- Create, Compile, and Train Model ---\n\nprint(\"\\nBuilding model...\")\nmodel = create_lstm_model(input_shape, num_classes)\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:07.650491Z","iopub.execute_input":"2025-10-16T04:45:07.650815Z","iopub.status.idle":"2025-10-16T04:45:10.193216Z","shell.execute_reply.started":"2025-10-16T04:45:07.650790Z","shell.execute_reply":"2025-10-16T04:45:10.192611Z"}},"outputs":[{"name":"stdout","text":"\nBuilding model...\n","output_type":"stream"},{"name":"stderr","text":"I0000 00:00:1760589908.617383 37 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13942 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5\nI0000 00:00:1760589908.618081 37 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 13942 MB memory: -> device: 1, name: Tesla T4, pci bus id: 0000:00:05.0, compute capability: 7.5\n/usr/local/lib/python3.11/dist-packages/keras/src/layers/rnn/bidirectional.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n super().__init__(**kwargs)\n","output_type":"stream"}],"execution_count":4},{"cell_type":"code","source":"model.compile(\n optimizer=keras.optimizers.Adam(learning_rate=0.001),\n loss='categorical_crossentropy',\n metrics=['accuracy', keras.metrics.Precision(), keras.metrics.Recall()]\n)\n\n# --- Add this section before creating the model ---\n# Set up the strategy to use all available GPUs\n\n# The model.fit() part remains exactly the same","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:11.545096Z","iopub.execute_input":"2025-10-16T04:45:11.545380Z","iopub.status.idle":"2025-10-16T04:45:11.567183Z","shell.execute_reply.started":"2025-10-16T04:45:11.545359Z","shell.execute_reply":"2025-10-16T04:45:11.566606Z"}},"outputs":[],"execution_count":5},{"cell_type":"code","source":"print(\"\\nTraining model...\")\nhistory = model.fit(\n X_train, y_train,\n validation_data=(X_val, y_val),\n epochs=50, # Train for longer, EarlyStopping will handle it\n batch_size=256,\n callbacks=[early_stop, reduce_lr],\n verbose=1\n)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T04:45:14.370797Z","iopub.execute_input":"2025-10-16T04:45:14.371080Z","iopub.status.idle":"2025-10-16T05:12:27.512852Z","shell.execute_reply.started":"2025-10-16T04:45:14.371060Z","shell.execute_reply":"2025-10-16T05:12:27.512226Z"}},"outputs":[{"name":"stdout","text":"\nTraining model...\nEpoch 1/50\n","output_type":"stream"},{"name":"stderr","text":"I0000 00:00:1760589922.794270 97 cuda_dnn.cc:529] Loaded cuDNN version 90300\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 111ms/step - accuracy: 0.7511 - loss: 0.7487 - precision: 0.8095 - recall: 0.6616 - val_accuracy: 0.8793 - val_loss: 0.4080 - val_precision: 0.9048 - val_recall: 0.8441 - learning_rate: 0.0010\nEpoch 2/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 109ms/step - accuracy: 0.8785 - loss: 0.4038 - precision: 0.9033 - recall: 0.8487 - val_accuracy: 0.8745 - val_loss: 0.3987 - val_precision: 0.9088 - val_recall: 0.8549 - learning_rate: 0.0010\nEpoch 3/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 113ms/step - accuracy: 0.9037 - loss: 0.3253 - precision: 0.9270 - recall: 0.8789 - val_accuracy: 0.9328 - val_loss: 0.2172 - val_precision: 0.9513 - val_recall: 0.9184 - learning_rate: 0.0010\nEpoch 4/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 117ms/step - accuracy: 0.9301 - loss: 0.2525 - precision: 0.9477 - recall: 0.9131 - val_accuracy: 0.9484 - val_loss: 0.1735 - val_precision: 0.9621 - val_recall: 0.9349 - learning_rate: 0.0010\nEpoch 5/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9392 - loss: 0.2196 - precision: 0.9550 - recall: 0.9249 - val_accuracy: 0.9421 - val_loss: 0.2012 - val_precision: 0.9557 - val_recall: 0.9304 - learning_rate: 0.0010\nEpoch 6/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 114ms/step - accuracy: 0.9382 - loss: 0.2286 - precision: 0.9508 - recall: 0.9243 - val_accuracy: 0.9578 - val_loss: 0.1442 - val_precision: 0.9676 - val_recall: 0.9490 - learning_rate: 0.0010\nEpoch 7/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9495 - loss: 0.1867 - precision: 0.9593 - recall: 0.9399 - val_accuracy: 0.9582 - val_loss: 0.1461 - val_precision: 0.9653 - val_recall: 0.9521 - learning_rate: 0.0010\nEpoch 8/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9529 - loss: 0.1667 - precision: 0.9618 - recall: 0.9458 - val_accuracy: 0.9552 - val_loss: 0.1434 - val_precision: 0.9649 - val_recall: 0.9466 - learning_rate: 0.0010\nEpoch 9/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9570 - loss: 0.1524 - precision: 0.9649 - recall: 0.9507 - val_accuracy: 0.9581 - val_loss: 0.1405 - val_precision: 0.9648 - val_recall: 0.9522 - learning_rate: 0.0010\nEpoch 10/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9551 - loss: 0.1598 - precision: 0.9631 - recall: 0.9477 - val_accuracy: 0.9631 - val_loss: 0.1212 - val_precision: 0.9689 - val_recall: 0.9588 - learning_rate: 0.0010\nEpoch 11/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9581 - loss: 0.1502 - precision: 0.9654 - recall: 0.9512 - val_accuracy: 0.9675 - val_loss: 0.1006 - val_precision: 0.9727 - val_recall: 0.9627 - learning_rate: 0.0010\nEpoch 12/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9634 - loss: 0.1294 - precision: 0.9693 - recall: 0.9583 - val_accuracy: 0.9664 - val_loss: 0.1087 - val_precision: 0.9716 - val_recall: 0.9624 - learning_rate: 0.0010\nEpoch 13/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9640 - loss: 0.1275 - precision: 0.9701 - recall: 0.9591 - val_accuracy: 0.9690 - val_loss: 0.1044 - val_precision: 0.9729 - val_recall: 0.9655 - learning_rate: 0.0010\nEpoch 14/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9670 - loss: 0.1206 - precision: 0.9720 - recall: 0.9621 - val_accuracy: 0.9721 - val_loss: 0.0948 - val_precision: 0.9765 - val_recall: 0.9691 - learning_rate: 0.0010\nEpoch 15/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9668 - loss: 0.1158 - precision: 0.9724 - recall: 0.9626 - val_accuracy: 0.9730 - val_loss: 0.0918 - val_precision: 0.9768 - val_recall: 0.9705 - learning_rate: 0.0010\nEpoch 16/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9682 - loss: 0.1133 - precision: 0.9728 - recall: 0.9639 - val_accuracy: 0.9722 - val_loss: 0.0954 - val_precision: 0.9759 - val_recall: 0.9686 - learning_rate: 0.0010\nEpoch 17/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9668 - loss: 0.1136 - precision: 0.9724 - recall: 0.9625 - val_accuracy: 0.9744 - val_loss: 0.0823 - val_precision: 0.9788 - val_recall: 0.9711 - learning_rate: 0.0010\nEpoch 18/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9714 - loss: 0.1025 - precision: 0.9756 - recall: 0.9677 - val_accuracy: 0.9762 - val_loss: 0.0851 - val_precision: 0.9781 - val_recall: 0.9742 - learning_rate: 0.0010\nEpoch 19/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9729 - loss: 0.0995 - precision: 0.9763 - recall: 0.9695 - val_accuracy: 0.9774 - val_loss: 0.0789 - val_precision: 0.9790 - val_recall: 0.9751 - learning_rate: 0.0010\nEpoch 20/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9729 - loss: 0.0972 - precision: 0.9766 - recall: 0.9694 - val_accuracy: 0.9762 - val_loss: 0.0845 - val_precision: 0.9786 - val_recall: 0.9747 - learning_rate: 0.0010\nEpoch 21/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9747 - loss: 0.0936 - precision: 0.9782 - recall: 0.9716 - val_accuracy: 0.9793 - val_loss: 0.0733 - val_precision: 0.9813 - val_recall: 0.9775 - learning_rate: 0.0010\nEpoch 22/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9737 - loss: 0.0960 - precision: 0.9769 - recall: 0.9703 - val_accuracy: 0.9774 - val_loss: 0.0833 - val_precision: 0.9799 - val_recall: 0.9751 - learning_rate: 0.0010\nEpoch 23/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9747 - loss: 0.0884 - precision: 0.9778 - recall: 0.9718 - val_accuracy: 0.9790 - val_loss: 0.0786 - val_precision: 0.9806 - val_recall: 0.9771 - learning_rate: 0.0010\nEpoch 24/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9762 - loss: 0.0841 - precision: 0.9794 - recall: 0.9737 - val_accuracy: 0.9815 - val_loss: 0.0703 - val_precision: 0.9831 - val_recall: 0.9801 - learning_rate: 0.0010\nEpoch 25/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9742 - loss: 0.0906 - precision: 0.9769 - recall: 0.9717 - val_accuracy: 0.9799 - val_loss: 0.0760 - val_precision: 0.9814 - val_recall: 0.9781 - learning_rate: 0.0010\nEpoch 26/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9768 - loss: 0.0831 - precision: 0.9795 - recall: 0.9748 - val_accuracy: 0.9787 - val_loss: 0.0781 - val_precision: 0.9807 - val_recall: 0.9770 - learning_rate: 0.0010\nEpoch 27/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9735 - loss: 0.0921 - precision: 0.9765 - recall: 0.9703 - val_accuracy: 0.9806 - val_loss: 0.0736 - val_precision: 0.9823 - val_recall: 0.9790 - learning_rate: 0.0010\nEpoch 28/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9752 - loss: 0.0893 - precision: 0.9782 - recall: 0.9725 - val_accuracy: 0.9817 - val_loss: 0.0650 - val_precision: 0.9835 - val_recall: 0.9803 - learning_rate: 0.0010\nEpoch 29/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9779 - loss: 0.0750 - precision: 0.9806 - recall: 0.9758 - val_accuracy: 0.9812 - val_loss: 0.0691 - val_precision: 0.9828 - val_recall: 0.9798 - learning_rate: 0.0010\nEpoch 30/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9755 - loss: 0.0867 - precision: 0.9781 - recall: 0.9731 - val_accuracy: 0.9820 - val_loss: 0.0638 - val_precision: 0.9835 - val_recall: 0.9803 - learning_rate: 0.0010\nEpoch 31/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9787 - loss: 0.0736 - precision: 0.9810 - recall: 0.9767 - val_accuracy: 0.9832 - val_loss: 0.0614 - val_precision: 0.9847 - val_recall: 0.9815 - learning_rate: 0.0010\nEpoch 32/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9795 - loss: 0.0720 - precision: 0.9811 - recall: 0.9775 - val_accuracy: 0.9819 - val_loss: 0.0658 - val_precision: 0.9832 - val_recall: 0.9808 - learning_rate: 0.0010\nEpoch 33/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9772 - loss: 0.0808 - precision: 0.9803 - recall: 0.9750 - val_accuracy: 0.9827 - val_loss: 0.0629 - val_precision: 0.9844 - val_recall: 0.9816 - learning_rate: 0.0010\nEpoch 34/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9793 - loss: 0.0721 - precision: 0.9815 - recall: 0.9774 - val_accuracy: 0.9799 - val_loss: 0.0780 - val_precision: 0.9813 - val_recall: 0.9782 - learning_rate: 0.0010\nEpoch 35/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9804 - loss: 0.0686 - precision: 0.9826 - recall: 0.9787 - val_accuracy: 0.9833 - val_loss: 0.0588 - val_precision: 0.9846 - val_recall: 0.9820 - learning_rate: 0.0010\nEpoch 36/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9811 - loss: 0.0686 - precision: 0.9827 - recall: 0.9793 - val_accuracy: 0.9821 - val_loss: 0.0669 - val_precision: 0.9836 - val_recall: 0.9812 - learning_rate: 0.0010\nEpoch 37/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9822 - loss: 0.0633 - precision: 0.9838 - recall: 0.9806 - val_accuracy: 0.9830 - val_loss: 0.0670 - val_precision: 0.9843 - val_recall: 0.9822 - learning_rate: 0.0010\nEpoch 38/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9815 - loss: 0.0626 - precision: 0.9832 - recall: 0.9798 - val_accuracy: 0.9819 - val_loss: 0.0707 - val_precision: 0.9829 - val_recall: 0.9811 - learning_rate: 0.0010\nEpoch 39/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9808 - loss: 0.0669 - precision: 0.9825 - recall: 0.9794 - val_accuracy: 0.9819 - val_loss: 0.0630 - val_precision: 0.9834 - val_recall: 0.9805 - learning_rate: 0.0010\nEpoch 40/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9819 - loss: 0.0638 - precision: 0.9834 - recall: 0.9804 - val_accuracy: 0.9790 - val_loss: 0.0792 - val_precision: 0.9809 - val_recall: 0.9770 - learning_rate: 0.0010\nEpoch 41/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9827 - loss: 0.0611 - precision: 0.9844 - recall: 0.9814 - val_accuracy: 0.9861 - val_loss: 0.0502 - val_precision: 0.9869 - val_recall: 0.9851 - learning_rate: 2.0000e-04\nEpoch 42/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9857 - loss: 0.0485 - precision: 0.9869 - recall: 0.9845 - val_accuracy: 0.9864 - val_loss: 0.0498 - val_precision: 0.9873 - val_recall: 0.9858 - learning_rate: 2.0000e-04\nEpoch 43/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9865 - loss: 0.0458 - precision: 0.9878 - recall: 0.9856 - val_accuracy: 0.9869 - val_loss: 0.0490 - val_precision: 0.9877 - val_recall: 0.9863 - learning_rate: 2.0000e-04\nEpoch 44/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9879 - loss: 0.0425 - precision: 0.9888 - recall: 0.9871 - val_accuracy: 0.9870 - val_loss: 0.0498 - val_precision: 0.9879 - val_recall: 0.9865 - learning_rate: 2.0000e-04\nEpoch 45/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 115ms/step - accuracy: 0.9873 - loss: 0.0434 - precision: 0.9886 - recall: 0.9864 - val_accuracy: 0.9873 - val_loss: 0.0495 - val_precision: 0.9880 - val_recall: 0.9866 - learning_rate: 2.0000e-04\nEpoch 46/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9883 - loss: 0.0398 - precision: 0.9893 - recall: 0.9873 - val_accuracy: 0.9873 - val_loss: 0.0492 - val_precision: 0.9881 - val_recall: 0.9867 - learning_rate: 2.0000e-04\nEpoch 47/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9883 - loss: 0.0404 - precision: 0.9893 - recall: 0.9873 - val_accuracy: 0.9880 - val_loss: 0.0489 - val_precision: 0.9884 - val_recall: 0.9873 - learning_rate: 2.0000e-04\nEpoch 48/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9883 - loss: 0.0396 - precision: 0.9893 - recall: 0.9876 - val_accuracy: 0.9869 - val_loss: 0.0484 - val_precision: 0.9880 - val_recall: 0.9864 - learning_rate: 2.0000e-04\nEpoch 49/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 116ms/step - accuracy: 0.9884 - loss: 0.0384 - precision: 0.9893 - recall: 0.9876 - val_accuracy: 0.9875 - val_loss: 0.0507 - val_precision: 0.9883 - val_recall: 0.9867 - learning_rate: 2.0000e-04\nEpoch 50/50\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 115ms/step - accuracy: 0.9887 - loss: 0.0370 - precision: 0.9897 - recall: 0.9879 - val_accuracy: 0.9873 - val_loss: 0.0512 - val_precision: 0.9881 - val_recall: 0.9865 - learning_rate: 2.0000e-04\n","output_type":"stream"}],"execution_count":6},{"cell_type":"code","source":"print(\"\\nSaving model...\")\nmodel.save('ecg_classifier.keras')\nprint(\"Model saved successfully!\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:18:45.511514Z","iopub.execute_input":"2025-10-16T05:18:45.512169Z","iopub.status.idle":"2025-10-16T05:18:45.612197Z","shell.execute_reply.started":"2025-10-16T05:18:45.512146Z","shell.execute_reply":"2025-10-16T05:18:45.611383Z"}},"outputs":[{"name":"stdout","text":"\nSaving model...\nModel saved successfully!\n","output_type":"stream"}],"execution_count":11},{"cell_type":"code","source":"print(\"\\nPlotting training history...\")\nfig, axes = plt.subplots(2, 2, figsize=(15, 10))\n\n# Accuracy\naxes[0, 0].plot(history.history['accuracy'], label='Train')\naxes[0, 0].plot(history.history['val_accuracy'], label='Validation')\naxes[0, 0].set_title('Model Accuracy', fontsize=14)\naxes[0, 0].set_xlabel('Epoch')\naxes[0, 0].set_ylabel('Accuracy')\naxes[0, 0].legend()\naxes[0, 0].grid(alpha=0.3)\n\n# Loss\naxes[0, 1].plot(history.history['loss'], label='Train')\naxes[0, 1].plot(history.history['val_loss'], label='Validation')\naxes[0, 1].set_title('Model Loss', fontsize=14)\naxes[0, 1].set_xlabel('Epoch')\naxes[0, 1].set_ylabel('Loss')\naxes[0, 1].legend()\naxes[0, 1].grid(alpha=0.3)\n\n# Precision\naxes[1, 0].plot(history.history['precision'], label='Train')\naxes[1, 0].plot(history.history['val_precision'], label='Validation')\naxes[1, 0].set_title('Model Precision', fontsize=14)\naxes[1, 0].set_xlabel('Epoch')\naxes[1, 0].set_ylabel('Precision')\naxes[1, 0].legend()\naxes[1, 0].grid(alpha=0.3)\n\n# Recall\naxes[1, 1].plot(history.history['recall'], label='Train')\naxes[1, 1].plot(history.history['val_recall'], label='Validation')\naxes[1, 1].set_title('Model Recall', fontsize=14)\naxes[1, 1].set_xlabel('Epoch')\naxes[1, 1].set_ylabel('Recall')\naxes[1, 1].legend()\naxes[1, 1].grid(alpha=0.3)\n\nplt.tight_layout()\nplt.savefig('training_history.png', dpi=150, bbox_inches='tight')\nprint(\"Training history saved to: training_history.png\")\nplt.show()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:12:38.836499Z","iopub.execute_input":"2025-10-16T05:12:38.837049Z","iopub.status.idle":"2025-10-16T05:12:40.551812Z","shell.execute_reply.started":"2025-10-16T05:12:38.837025Z","shell.execute_reply":"2025-10-16T05:12:40.550975Z"}},"outputs":[{"name":"stdout","text":"\nPlotting training history...\nTraining history saved to: training_history.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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+ \"=\"*70)\nprint(\"EVALUATION ON TEST SET\")\nprint(\"=\"*70)\n\n# Make predictions\ny_pred_probs = model.predict(X_test)\ny_pred = np.argmax(y_pred_probs, axis=1)\ny_true = np.argmax(y_test, axis=1)\n\n# Calculate metrics\ntest_loss, test_acc, test_prec, test_rec = model.evaluate(X_test, y_test, verbose=0)\nprint(f\"\\nTest Loss: {test_loss:.4f}\")\nprint(f\"Test Accuracy: {test_acc:.4f}\")\nprint(f\"Test Precision: {test_prec:.4f}\")\nprint(f\"Test Recall: {test_rec:.4f}\")\n\n# Classification Report\nprint(\"\\nClassification Report:\")\nprint(classification_report(y_true, y_pred, target_names=label_names, digits=4))\n\n# Per-class metrics\nprecision, recall, f1, support = precision_recall_fscore_support(y_true, y_pred)\nprint(\"\\nPer-Class Detailed Metrics:\")\nprint(\"-\" * 70)\nprint(f\"{'Class':<10} {'Precision':<12} {'Recall':<12} {'F1-Score':<12} {'Support':<10}\")\nprint(\"-\" * 70)\nfor i, label in enumerate(label_names):\n print(f\"{label:<10} {precision[i]:<12.4f} {recall[i]:<12.4f} {f1[i]:<12.4f} {support[i]:<10}\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:12:47.051906Z","iopub.execute_input":"2025-10-16T05:12:47.052618Z","iopub.status.idle":"2025-10-16T05:13:08.722857Z","shell.execute_reply.started":"2025-10-16T05:12:47.052570Z","shell.execute_reply":"2025-10-16T05:13:08.722083Z"}},"outputs":[{"name":"stdout","text":"\n======================================================================\nEVALUATION ON TEST SET\n======================================================================\n\u001b[1m704/704\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 14ms/step\n\nTest Loss: 0.0520\nTest Accuracy: 0.9855\nTest Precision: 0.9863\nTest Recall: 0.9852\n\nClassification Report:\n precision recall f1-score support\n\n F 0.8611 0.7750 0.8158 160\n N 0.9917 0.9929 0.9923 18119\n Q 0.9764 0.9843 0.9803 2230\n S 0.9147 0.8489 0.8806 556\n V 0.9604 0.9710 0.9656 1447\n\n accuracy 0.9855 22512\n macro avg 0.9409 0.9144 0.9269 22512\nweighted avg 0.9853 0.9855 0.9854 22512\n\n\nPer-Class Detailed Metrics:\n----------------------------------------------------------------------\nClass Precision Recall F1-Score Support \n----------------------------------------------------------------------\nF 0.8611 0.7750 0.8158 160 \nN 0.9917 0.9929 0.9923 18119 \nQ 0.9764 0.9843 0.9803 2230 \nS 0.9147 0.8489 0.8806 556 \nV 0.9604 0.9710 0.9656 1447 \n","output_type":"stream"}],"execution_count":8},{"cell_type":"code","source":"print(\"\\nGenerating confusion matrix...\")\ncm = confusion_matrix(y_true, y_pred)\n\nplt.figure(figsize=(10, 8))\nsns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n xticklabels=label_names, yticklabels=label_names,\n cbar_kws={'label': 'Count'})\nplt.title('Confusion Matrix - Test Set', fontsize=16, pad=20)\nplt.xlabel('Predicted Label', fontsize=12)\nplt.ylabel('True Label', fontsize=12)\nplt.tight_layout()\nplt.savefig('confusion_matrix.png', dpi=150, bbox_inches='tight')\nprint(\"Confusion matrix saved to: confusion_matrix.png\")\nplt.show()\n\n# Normalized confusion matrix\ncm_norm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n\nplt.figure(figsize=(6, 4))\nsns.heatmap(cm_norm, annot=True, fmt='.2%', cmap='Blues',\n xticklabels=label_names, yticklabels=label_names,\n cbar_kws={'label': 'Percentage'})\nplt.title('Normalized Confusion Matrix - Test Set', fontsize=16, pad=20)\nplt.xlabel('Predicted Label', fontsize=12)\nplt.ylabel('True Label', fontsize=12)\nplt.tight_layout()\nplt.savefig('confusion_matrix_normalized.png', dpi=150, bbox_inches='tight')\nprint(\"Normalized confusion matrix saved to: confusion_matrix_normalized.png\")\nplt.show()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:13:57.327154Z","iopub.execute_input":"2025-10-16T05:13:57.327776Z","iopub.status.idle":"2025-10-16T05:13:58.642306Z","shell.execute_reply.started":"2025-10-16T05:13:57.327751Z","shell.execute_reply":"2025-10-16T05:13:58.641603Z"}},"outputs":[{"name":"stdout","text":"\nGenerating confusion matrix...\nConfusion matrix saved to: confusion_matrix.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}},{"name":"stdout","text":"Normalized confusion matrix saved to: confusion_matrix_normalized.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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Zs3j3a5ubk5JUqUIDQ0VD3vVt68eUmdOjUHDhxg4sSJeHh4JHg9HRwcOHfuHOfPn2f06NHUqFFDPSbo6tWr9OjRg5o1axIcHKxe58CBAyiKQq1atUidOnW05UZ3bRPJT4p+CuxbY8aMYf369WzYsIFBgwZRuHDhaPNFXnwtLS1JkyZNtHly5sypkfe/tLnQRvfEh7m5ORDx9E108xZFnmyBgYEa6R8/fqRt27bs2rXru9sMCAj4Yb20denSJfXFbcuWLZQoUUJjuYeHB4qi8Pnz5yiPmv+Xt7e3+v/Pnj0D0AimvhU5mPTatWta1/XbQY5v3rwhS5YsWq8LX//OMdUpXbp0pE+fHj8/P549exblCaSYnu6JPL7++/dMKGvXrqVJkybMnDmTmTNnkj59epycnKhWrRpt27bVap6h+Dg/ErI9Igd/jx07li1btnD37l3g+4OfI71584bGjRv/8AnAgIAALCwsYl03GxubOD2JWqJECdzc3BgxYgQAU6ZMwcnJKVZl3L17l8mTJ0dJL1euHL///rvOdfuvx48fA9C2bVvatm373byR53/q1KlZtWoVHTt2ZOTIkYwcOZKMGTPi7OxMzZo1adWqlfoaGd9KlSpFqVKlAFAUhStXrjBt2jQ2b97M33//zZw5cxg8eLDGvq1YsYIVK1ZotW8iefplAqCMGTOqH4t3dXVVf0NJCKampj/Mo6cXc+fb95ZFx9XVlV27dpE3b14mT55MyZIlsbKywsjICIAyZcpw9uxZ9ZNFceXp6UmdOnX4+PEjS5cupU6dOlHyhIeHAxFBXXxMIhYXRYsWRU9Pj/DwcC5evBjrACiuYvv3jKvItv+v8uXL4+npyf79+zl+/Dhnzpzh8OHDHDx4EDc3N3bt2kXVqlUTvH4J3R4dO3Zk3LhxLF26lCdPnpA2bVoaNWr0w/V+//13Tp06RenSpRk7dixFihTBwsICQ0NDADJlysTLly91Po+0uS58T2BgINu2bVO/P3/+fKzLePXqVbRPyQHxGgBFHoM1a9bE1tb2u3mzZcum/n/jxo1xcXFhz549nDx5ktOnT7Nr1y527drF6NGj+euvvyhUqFC81TM6KpWKYsWKsWnTJj59+sSePXvYvXu3OgCK3DdHR0eKFCny3bJiG6CKxPXLBEAAQ4cOZenSpRw4cIATJ05Emydz5swA+Pr6EhAQEO233MhvAJF5k1rkY9hbtmyJtmfrwYMH8bYtPz8/atWqxevXrxkxYgRdunSJNl9kkKFSqVi5cqXWH3qRbfq9mVKfPHkSqzpbWFhQvnx5jh8/zpo1a7T6MPxvne7evav+u//Xu3fv8PPzU+dNaJGB7fv376Nd/r32MTU1pUmTJurbtN7e3owcOZKlS5fSqVOnH7btz3B+ZMuWjSpVqnDkyBEAunfv/sPg4+PHjxw4cAA9PT0OHDhAunTpoixP6vmD+vXrx9WrV6lYsSLPnj1j586dzJ07lz/++EPrMipVqhRvX4S+J0uWLNy9e5fOnTtrNSTgW2nTptXoOXr69Cl9+vThf//7H71791Y/+p4Yqlevzp49e/Dx8VGnRV7bypYty/z58xOtLiL+/RJjgCKlTZuW4cOHAzBkyJBo89jZ2am78KObS0JRFHV65cqVE6SesRX54fvtN6lIhw8f1jh54yIoKIj69etz9+5d2rVrp55bJzqZMmWicOHCvH//nkOHDmm9jYoVKwJw6NAh9X59a8+ePVHmY9FG5G2DPXv2/PBWoaIoGrdBIu/nx/TNOXKOmdy5cyfKh37kNu7cuRNlmaIoHDx4UOuyrK2t1T/54eXl9cPxLT/L+dG1a1csLS2xtLRUj9H6nnfv3hEWFkaaNGmiBD8QMWdXTIFDZEAaGhoapzp/z6ZNm1iyZAm2trZs3ryZrVu3YmxszODBg/n3338TbLu6qlWrFkCMc2TFRpYsWRg7dixAlLmQ4tL22gSCkfOy2dnZqdMi923Pnj2xul2bGMeJiJ1fKgAC6NWrF1mzZuX8+fOcPXs22jyDBg0CYPz48RpjTRRFYcKECVy9epV06dLF2PuR2CIHj86bN08j/d69e/H2EyCKotC2bVtOnTqFi4sLy5cv/+E6kQFSx44d2bt3b7Rlnj9/nj///FOdVr58eYoVK8aHDx/o1asXQUFB6mVPnz5V/21iq1q1agwcOBCAFi1aMHPmTI2yI126dIkaNWpozAzbpUsX0qRJw+XLl5k0aZLGhfPKlSvq/YzsIk9oLi4uAKxbt05jMHNISAhDhw6N9sdcnzx5wvLly6MdBxb5t7GwsIhxXM+3fobzo1mzZvj4+ODj4xNlfFp0bG1tsbCw4O3bt6xbt05j2blz53B1dY1x3cgPx1u3bsWt0jG4d+8eXbt2RU9Pjw0bNpAhQwaKFSvGjBkzCA4OplmzZjp9KUhIXbt2VQ9GHzp0aLS9la9evWLZsmXq91euXGHLli3RTnYaeYz+90teXNp+4cKFtG/fPtqByoqisHPnTnUPT4sWLdTLihYtSuPGjXn69CmNGjWKtrf648ePbNiwQT3ZIkR82TAyMuLVq1fRfrkTSSCxHztLDP99DP6/Vq9erfG4Y3QTvbVt21aBiIneIicti5zkytTUVDlw4ECM24183DY6kduMzo8ekzx69KgCKBUrVtRI37Fjh6JSqRS+zCEUOUmfoaGhUqVKFaVMmTLRPioam8fgT5w4oa57w4YNY5wQMXKiskhz5sxRDAwMFIiYSK5OnTpKq1atlGrVqqknOxw6dKjGOrdu3VKsra0VQMmUKZPSrFkz5bffflPMzMwUZ2fnWE+E+K2JEycqhoaGCqCkTp1acXFxUVq1aqXUq1dPsbe3V+/jf+u0d+9e9USIefPmVVq2bKlUrVpVvW/RTU0Q+Yi2m5tbtHWJ6e+pKN8/ThRFUerXr68+FqtVq6bUq1dPsbOzU9KkSaP07ds3yt/vypUrCl/m4ClZsqTSrFkzpVmzZkrRokXV86AsX75cYxvfmwgxIc6PHz3eH53/PgavjZgeg4+cvwVQnJyclJYtWyply5ZVVCqV0rZt2xjrv2/fPgVQjIyMlN9++03p1KmT0rlzZ+X06dOKomj/+HN0j3R/+vRJKVSoUIzHUZMmTdTnZFL43kSIN2/eVJ9T6dKlUypUqKC0atVKadCggZI/f35FpVIptra26vyRU1yYmpoqZcuWVVq0aKExuaCRkVGUCTZ/1Pbf8+3f29raWqlevbrSqlUrpXbt2hrXgjZt2kSZGyogIEA9jYqRkZH6nGratKlSsmRJ9USv/51bK/LvlSVLFqVly5ZK586dY3Xsivj1SwZAYWFh6ovK9y64GzduVCpVqqSkS5dOMTQ0VLJkyaJ06NAh2onkvt1uYgdAihIRoFStWlWxsrJSzMzMlIIFCyoTJ05UgoKCYpwrIzYBUOS2f/SK7iJ948YNpWvXrkru3LkVExMTxczMTMmRI4dSo0YNZe7cucrz58+jrPPkyROlQ4cOiq2trWJkZKTkyJFDGTp0qPLx48c4z/3h6empuLq6KiVLllQsLS0VAwMDJW3atErRokWVvn37aszg+q3bt28r7du3V+zs7BRDQ0MlXbp0SuXKlZXNmzdHmz8hA6DAwEBl5MiRSo4cORRDQ0PFxsZGadmypfLw4cNo/34BAQHK7NmzlYYNGyq5c+dWzM3NlVSpUil58uRR2rVrp/z7779RtvGjgCS+z4+kDoAURVF2796tlClTRkmXLp1ibm6ulChRQlm4cKESHh7+3fovW7ZMKVasmGJmZhbluhKXAKhz584KoFSpUiXKh7CiKMrbt2+VHDlyKIAye/ZsrdsgvnwvAFKUiONu6tSpSunSpdXHScaMGZWSJUsqgwcPVs6cOaPO+/LlS2Xy5MlK7dq1lezZsytmZmZKmjRplPz58yu9evWK8bj6Xtt/T0BAgLJ7926lT58+SqlSpdTntampqZIzZ06lZcuW0c5oHiksLEzZuHGjUrt2bcXW1lYxNDRULC0tlYIFCyodO3ZUdu3apTHLu6Ioiq+vr9KtWzcla9as6i9iKbQf4qegUpREGBEnhBBCCJGM/HJjgIQQQgghJAASQgghxC9HAiAhhBBC/HIkABJCCCHEL0cCICGEEEL8ciQAEkIIIcQvRwIgIYQQQvxyJAASQgghxC9HAiAhhBBC/HIkABJCCCHEL0cCICGEEEL8ciQAEkIIIcQvRwIgIYQQQvxyJAASQgghxC9HAiAhhBBC/HIkABJCCCHEL0cCICGEEEL8ciQAEkIIIcQvRwIgIYQQQvxyJAASQgghxC9HAiAhhBBC/HIkABJCCCHEL0cCICGEEEL8ciQAEkIIIcQvRwIgIYQQQvxyJAASQgghxC9HAiAhhBBC/HIMkroCicGu5+6krkKKcmR09aSuQoqSzcosqasgRLTefw5N6iqkGNapE+/j1rRob53W+3xlfjzXJHn7JQIgIYQQ4pehkps72pAASAghhEhJVKqkrsFPQQIgIYQQIiWRHiCtSAAkhBBCpCTSA6QVCYCEEEKIlER6gLQiAZAQQgiRkkgPkFYkABJCCCFSEukB0ooEQEIIIURKIj1AWpEwUQghhBC/HOkBEkIIIVISuQWmFQmAhBBCiJREboFpRQIgIYQQIiWRHiCtSAAkhBBCpCTSA6QVCYCEEEKIlER6gLQiAZAQQgiRkkgApBUJgIQQQoiURE9ugWlDAiAhhBAiJZEeIK1IACSEEEKkJDIIWisSAAkhhBApifQAaUUCICGEECIlkR4grUiYKIQQQohfjvQAaens+OpksTSLkr76+GMW//WQcxOqR7tet2UX2H/lRbTLZrYtRrPSWTXSjt16TZsFZ9Xv05kZMr5ZYVwKZSBcgYNXXzB623U+BYUBYJfejNnti1E4azque72l35rLPPP79LV+PZzZetaLA1ejr0NSuXntErs2reXR/dv4+fowfMJMnMtXVi+f7T6afw7t1VinaKkyjJ224Lvl+nq/YfWSOVw+f5qgwEAyZs7CH8PGkDtvAUJDQ1i/fCGXzp3i1ctnpEplTpHiTrTr9geWVjYAhAQHM2/qOM6fPoZFeku693fFsYSzuvydm9bg/fol3foNi8fWSBibN25gzaoV+Ph4k8chL8OGj6JQ4cIx5v/z8EEWzJvDi+fPyZrNnn4DBlG+QkX1ckVRWDh/Lju3b+P9+wAcixZjxOgxZMtmD0BwcDBjRo/g2D9HsLSyZsQoN5xLl1Gvv3rlcl6+fInriFEJts8JSdoz/ni/ec2ieTM5d+YkgYGB2NllZbjbBPLmLxjjOn8e3MeGtSt45uWFubk5TmXK06vvINKmS6fOs3XjWnZt38Lr1y9Jl86CSlWq0a13f4yNjdVlLJ4/i0+fPlGnbgP6DBiqXvfli+f0792FFWu3ksrcPMH2PVHILTCtSACkpTpTjqH/zaOFDhnTsLlvWfZffsEL/08UHXZQI3/rsvZ0r5aLo7dff7fco7deM2DdZfX74JBwjeXzOpbAJo0JreadwUBfxcy2xZjaypHeqy4BMLpxQV69DWTw+qMMrpePUY0K0G35RQDqFs9MuKIku+AHIOjzZ7LnyoNL7fq4jxoYbZ5ipcrQd9hY9XtDI6PvlvnhfQBDe3egkGNJ3KbOJ006C14+88I8dZqIbQYG8uj+HZq364J9rjx8eB/A8nnTmDi8HzOXbgTg8N4dPLp/m2kL13Dp/GlmjB/O2t1HUKlUvHr5nD/37WTm0g3x1AoJ59DBA0yf6s5It7EUKlSEDevW0KNbZ/637xCWlpZR8l+9cplhgwfyR78BVKhYmQP799KvTy82b99J7tx5AFi1YhmbNqxj/KTJZM5sx4J5c+jRtTO79hzA2NiY7du2cOfWLdZu3MLpkycYNmQgR0+cQaVS8ezZU3Zs38amrTsSuynihbRn/AkIeEePzm0oVqIU0+csJp1Fep49fULqNGliXOf61ctMcHOlz4ChlC1fCW/v10yfNI4pE92YNG0OAH8eighuho0eT6HCRXnq5cnEMSNQqVT0GTCUt2/9mTxhNCPcJpIpsx2D+/WkWEknypavBMCMyePp0bv/zx/8gNwC05KEiVry+xCMd0CQ+uVSKAOebz5w9oEP4Qoay7wDgqjpmJF9l1+oe2piEhQarrHeu88h6mW5MphTuYAtgzdc4YqnPxcf+TFq63XqFbfDNq2JOs/28154eH9k21kvcmVIDUAaU0OG1M3HiC3XE65R4qC4czna/N6L0hWqxJjH0MgIC0sr9SsykInJjo2rsLLOQF/XseTJV5AMGTNTtGRpMmbOAkAq89SMn7mYclWqY5fVnrwFCtOt7zAe3ruD9+uXADx94kGpshXJmj0ntRs2491bfwLe+QOwaOYk2nfri1mq5H+BXLdmFY2aNKNBw8bkzJWLkW5jMTExYffO6D8wN6xfS5ly5enQ6Xdy5MxJ7z/6kS9/fjZvXA9E9FZsWLeWLt16ULmKC3kc8jLBfSreb97wz5G/AfB49IiKlauQK1dumrdsjb+fH/7+EW03cdwY+g0YhPlP+uEi7Rl/NqxZgY1tBoa7TSR/wcJkymxHKeeyZLbLGuM6N29cI0PGzDRt0YZMme0o4lic+o2acefWja95rl2lUJGiVK/5GxkzZaaUc1lcatTm9pc8L549xdzcnKrVa5GvQCGKlSjFE4/HAPx1aD8GBgZUrFItYXc+saj0dHv9Yn69PY4HhvoqGpWyY/NZr2iXF8qSloJZ0rHpzJMfllU6txVXp9TiuFtVJrUoQrpUhuplxbOn5+2nYK57vVWnnbzrTbiiUNTeAoDbzwIol9calQoq5LPhzvMAAEY2LMDq4x689P8chz1NWjev/kvb+lXo0aYBC2dMJODd2+/mv3D6OLny5mfy6MG0rV+Fvp1bcHjvzu+u8/Hje1QqFanMIwLH7LnycPvGVYKCArly4SzpLa1Ik9aCY38dwMjI6LsBW3IREhzMndu3NG6X6Onp4exchuvXrkS7zvWrV3F2Lq2RVqZsOa5fvQrA82fP8PHxxsn5a5mpU6emUOEi6jLz5M3LlcuXCAwM5MzpU1hbW2NhYcH+fXswNjamqsvP+eEi7Rm/Tp84St58BRg5tD+/VStPx1aN2bNr23fXKVioCG9ev+TsqRMoioKfrw/H/vkT57Llv+Yp4si9O7e5fTPiS9/zZ085d/okpctWAMAuazYCAwO5f/cOAe/ecuf2TXLmzkNAwDuWL55H/yEjEm6nE5tKpdvrF5OsboE9fvyY7Nmzo0rmf4gaRTKSxtSQbeeiD4BalM3G/ZcBXHrs991yjt1+zcGrL3jq+4ls1qkYWi8f63uVod6044QrYJ3GBN/3QRrrhIUrvP0UgnWaiHvaE3beZHIrR86Nr86d5wEM23gVp1yW5M+Slkm7b7Goc0kKZ0vHiTtvGL31OiFhSvw0QgIrVqoMpStUwTZDZl69eMa6ZfMYO6Q3UxeuQV9fP9p1Xr18zsH/baN+0zY0bdOZB3dvsWzuVAwMDahas16U/MFBQaxZMpcKVWuqe3VcatfH89EDerVrTJq06RgyZiof3gewceUiJs5ZxvrlCzjxz2EyZrLjj6FjsLS2SdB20IX/W3/CwsKi3JqxtLTE48s33v/y8fHB0tIqSn4fX58vy70j0qyilunjE5GnQcPGPLh3j4b1amORzoKpM2YT8O4dC+fPZcWqdcyfM4tDBw9glyUrYydMwtbWNl72N6FJe8avF8+fsXvHFpq3bk+7jl25c/sGs6e7Y2hoSK3fGkS7TmHHYoyeMJXRwwcSHBRMWFgoZctXYuDQkeo81Wv+xru3b+n5e1sUBcLCQmnQuDntOnUFIE2atIwYM4kJbq4EBQVSs3Y9nEqXw33cKBo3a8XLF88ZNqA3oaGhdOrak8ouNRKjORLGL9ibo4tkFQDlzp2bly9fYmMT8aHSvHlz5s6dG6sTOygoiKAgzaBBCQtBpW8Ywxqx16JMNo7efsPrd4FRlpkY6tGgRBbmHLz3w3L2XHqu/v/dFwHcefaOM+OrUzqPFafv+WhVl1fvAumw6Jz6vZGBHuv7lKH/mkv8UcuBj0GhVBzzN+t7l6FN+eysOhb9BTu5qVC1pvr/9jlzY58zN11b1uXm1X8pUtwp2nWU8HByOeSnXdc+AOTMkxcvj4cc+t/2KAFQaGgIU8cMQVEUegwYrk43MDCke39Xjbxz3N34rXFLHj+4y7lTR5m7Ygs7N61m6dwpuI6fEV+7/NMzNDRk+Cg3jbRRI1xp1botd+/c5p9/jrB15/9YvXI5UyZNYOaceUlU059DSm3P8PBw8uYvSLde/QDIkzcfHo8esnvH1hgDII/HD5kz3Z2Ov/egVOmy+Pp4s3DODKZNGofr6PEAXP73AutWLWXgsFHkL1iYZ0+9mDPdndXLF9Hh9x4AVKzsQsXKLupyr1y6yKOH9+g/ZDjNG9RizMRpWFpa0aV9CxyLlcAifdTxXT+FZN6JkFwkqzBRUTR7Jw4cOMDHjx9jVYa7uztp06bVeL2/HH8DBTOnN6V8Xhs2nfaMdnmdopkxNdJn+/noe4e+x8v3E77vg7C3juiN8A4IxDK1sUYefT0V6cwM8Q4Iiq4I+tTIw4k7b7jx9B2lc1tx4MoLQsMVDl59QencVtGu8zPIkMmONGnT8fL50xjzWFhakcU+h0aaXbbseL95pZEWGhrCVLehvHn9knEzFn13TM/1yxfx8nxEnYbNuXnlX4o7lcPE1JRylatz8+qluO1UArFIZ4G+vj6+vr4a6b6+vlhZRX8MWFlZ4evrEzX/l14MKyvriDQf7cu8cP4cjx4+oEWrNly8eIHy5StgZmZG9Zq1+PfiBZ32LSlIe8YvSytr7LPn1EjLlj0Hr1+9jHGd9auWU6hIUVq160Su3A44lS7HgGEj2b9np7o3bfniedSoXY+6DZqQM1ceKlZ2oVuvfqxbtZzw8PAoZQYHBzNjyngGDx/Ds6dehIWFUbR4SbLaZydLtmzcupk8x09qRcYAaSXF7bGrqyvv3r3TeKUu1jjeym9eOhs+74M4cjP6p7talMnGX9df4vchONZlZ0xngkUqI9586Vm65OFHOjMjCmVJq85T1sEKPZWKK57+UdbPlcGcBiXtmLb3DhARLBnoR3wTMNDXQ+8n/oE8nzeveR/wDgvLmIO4fAUdee6lOe7qxTMvbGwzqt9HBj8vnnsxfuZi0qRNF2N5wUFBLJntTs+BI9HX1yc8PJywsNAv5YQSHv79Ae5JxdDIiHz5C3D+3NfpFMLDwzl//iyFixSNdp3Cjo6cP3dOI+3c2TMUdnQEILOdHVZW1pw//7XMDx8+cOP6tWjLDAoKwn3COEaNGfel7cIIDf3SdiHJt+2iI+0ZvwoVKYrXEw+NtKdPPMmQMVOM6wQGfkZPT/PjSl/vy63wL1+cAwMDowyfiFznv1+uAdasWIxT6XI45M1PeNjXcxsiz++oQdNPQwIgrSSrPVapVFEO4NiOBzI2NiZNmjQar/i6/aVSQTPnrGw/50VYeNQTyt46FU65LGMc/HxsdFVqFon4MDYz1mdkwwIUs7fALr0ZZR2sWNHdGU/vjxy/8waAh68+cPTWa6a2LopjtnSUyJGeCc2KsOfSs2hvv01p5ciY7Tf4HBxxMbz42JdWZe3JlcGcJk5Z+PeRb5R1ksrnT594/OAejx9E3Cp8/fI5jx/cw/v1Sz5/+sSqRbO4e+s6r1++4Nql80wc0Z+MmbNQrOTXQaMj+3dj387N6vf1m7bh3u0bbF23ghfPvDj+10EO791B7YbNgYjgZ/LowTy8d5uBIycSHhaOv68P/r4+hISE8F9b1i6juHM5cubJC0QEWGdPHMHj0X3279pMvoKOCdhCcdO2fUd2bt/Knt27ePzoERPGjeHz5880aNgIgBGuQ5gz6+vtu9Zt2nHm9EnWrF6Jx+NHLFowj1s3b9KiVRsg4jxs3bYdy5Ys4tg/R3hw/x4jXYdgbWNDlaouUba/dPFCylWoSL58+QFwLFqMI3//xf17d9m8aT2ORYslfCPEI2nP+NO8VTtu3bjO2pVLefb0CX8e2seeXdtp1LSlOs/i+bMYP/rrreiyFSpx/J+/2bV9M8+fPeX61cvMnj6JfAUKYfVlHF7Z8pXYvWMLfx8+wIvnz7h47gzLF8+jbIVKUcYNejx+yJG/DvF7994AZLPPjp5Kj327d3Dm1HG8PD3I9505iZI9GQStlWQ1BkhRFDp06KCetCowMJDu3buTKlUqjXw7d37/yZ6EUj6vNXaWZmw+G32A07x0Vl6+/awOYP4rV4bUpDaNCMbCwxXyZk5DE+espDE15PW7QE7cecO0vXcIDv36zaPPqn+Z0Lwwm/uWJVyBA1ciJkL8r9bl7PEJ0OyZmrnvLvM7lWDv4Iocu/2G1cc9oqyXVB7eu82Ifl3U71csiPjwqFKzLj0GDMfz0QP+ObSXjx/ek97KGscSpWnduafGXECvXjzVeDIsd74CDJ8wg7VL57Fl7VJsM2Tm996DqVStNgC+3t5cOH0cgL6dW2jUZ+LsZRQqWkL9/snjh5w6+idzVmxRp5Wp5MKNq//i2qczmbNkY+CoSfHXIPGsZq3a+Pv5sXD+XHx8vHHIm4+FS5Zj+eX2yquXL9H75hufY9FiuE+dzvy5s5k3eyZZs9kze94C9Zw1AB07d+Hz58+MGzOa9+8DKFqsOAuXLFefr5EePLjPn4cOsmXHbnVateo1+ffCBTq2a002++xMnvpzjZ2S9ow/+QoUYtL0OSyZP5vVyxdFPFAwcCjVa/2mzuPr461xS6x23YZ8+viJHVs3Mn/WNMxTp6Z4SSd69BmgztO+czdUKhXLFs3F2/sN6dJZULZCJbr27KuxfUVRmDpxDH36D8HUNGJyW2MTE4aPmcjMKRMICQmm/5ARWNv8HIPKo/UL9uboQqVE1zeYRDp27KhVvlWrVsWqXLueu3WojYjJkdHRz3otdJPNKuoM40IkB+8/h/44k9CKderE628wbbBUp/U+7+4azzVJ3pJVD1BsAxshhBBCCF0kqwBICCGEEHEkt8C0IgGQEEIIkZL8ggOadSEBkBBCCJGCJPdfU0guJAASQgghUhAJgLQjAZAQQgiRkkj8oxUJgIQQQogURHqAtCMBkBBCCJGCSACkHQmAhBBCiBREAiDtSAAkhBBCpCASAGlHAiAhhBAiJZH4RysSAAkhhBApiPQAaUfmyxZCCCHEL0d6gIQQQogURHqAtCMBkBBCCJGCSACkHQmAhBBCiBREAiDtyBggIYQQIiVR6fiKpQULFmBvb4+JiQlOTk5cuHDhu/lnz56Ng4MDpqamZMmShf79+xMYGBj7DccTCYCEEEKIFESlUun0io0tW7YwYMAA3NzcuHz5MkWKFKFGjRq8efMm2vwbN25k2LBhuLm5cefOHVasWMGWLVsYPnx4fOyyTiQAEkIIIVKQxAiAZs6cSZcuXejYsSP58+dn8eLFmJmZsXLlymjznzlzhrJly9KqVSvs7e2pXr06LVu2/GGvUUKSAEgIIYRIQRI6AAoODubSpUu4uLio0/T09HBxceHs2bPRrlOmTBkuXbqkDngeP37MgQMHqF27dtx2Ng5kELQQQgiRkug4BjooKIigoCCNNGNjY4yNjTXSfHx8CAsLw9bWViPd1taWu3fvRlt2q1at8PHxoVy5ciiKQmhoKN27d5dbYEIIIYSIH7r2ALm7u5M2bVqNl7u7e7zU6dixY0yaNImFCxdy+fJldu7cyf79+xk/fny8lK8L6QESQgghUhBdH4N3dXVlwIABGmn/7f0BsLKyQl9fn9evX2ukv379mgwZMkRb9qhRo2jbti2///47AIUKFeLjx4907dqVESNGoKeX+P0xv0QA9HBug6SuQopiUbJ3UlchRfG/OD+pqyBEtFKb/hIfESmOrgFQdLe7omNkZETx4sU5cuQIDRo0ACA8PJwjR47Qu3f0nw+fPn2KEuTo6+sDoCiKTvWNKzm6hRBCCBErAwYMoH379pQoUYJSpUoxe/ZsPn78SMeOHQFo164dmTNnVt9Cq1u3LjNnzqRo0aI4OTnx8OFDRo0aRd26ddWBUGKTAEgIIYRIQRJjJujmzZvj7e3N6NGjefXqFY6Ojhw6dEg9MNrLy0ujx2fkyJGoVCpGjhzJ8+fPsba2pm7dukycODHB6xoTlZJUfU+JKDA0qWuQssgtsPglt8CESPlMErG7IVP3nTqt92Jxo3iuSfImPUBCCCFECiK/BaYdCYCEEEKIFEQCIO1IACSEEEKkIBIAaUcCICGEECIlkfhHKxIACSGEECmI9ABpRwIgIYQQIgWRAEg7EgAJIYQQKYgEQNqRAEgIIYRIQSQA0o4EQEIIIURKIvGPVhL/51eFEEIIIZKY9AAJIYQQKYjcAtOOBEBCCCFECiIBkHYkABJCCCFSEIl/tCMBkBBCCJGCSA+QdiQAEkIIIVIQiX+0IwGQEEIIkYJID5B2JAASQgghUhCJf7Qj8wDF0eaNG6hVrQolixaidYum3Lh+/bv5/zx8kPq/1aRk0UI0blCXkyeOayz/9PEjkyaMo1qVCpQqVpiGdWuzdcsmjTzTprhTvnQpqletyP59e6KU36dn9/jZuQRkbmbMtEGNuXdgHH5nZ3J09QCK58+qXm6TPjVLx7bh8Z8T8T0zk//N70nOrNbfLbNjwzL8vaIfL45P5cXxqexf3JsSBbJp5NGm3CkDG/H82BQeHBxPi1olNJY1cinK9tnd4rj3iSM2x+aObVvp0LYV5UqXpFzpknTt3CFK/lHDh1GkgIPGq0fXzurlwcHBDB82mDKlilG3dg3OnT2jsf7qlctxnzg+fncyEcVne4aEhDBrxjQaN6iLUwlHXCqVY4TrEN68ea3OI+351cOHDxjQtw+1qlWhSAEH1q9dHW2+169f4zp0EBXKOFGqWGEaN6jLrZs31MvXrFpBpfKlqVS+NGtWr9RY9/r1a7Ro2ojQ0NB42b+kpKen0un1q5EAKA4OHTzA9KnudOvZi83bduHgkJce3Trj6+sbbf6rVy4zbPBAGjZqwpbtu6lcpSr9+vTiwYP76jzTp07mzKmTTJo8jV17D9C6bXsmTxzPsX+OAHDs6D8c3L+PxctW0H/AYMaOHom/vx8A79+/Z96c2QwfOTrhdz6OFo1uRRXnvHQauYYSzSbx99m77F/ch0zWaQHYOqsr2e2saNpvCc4tJ+P10o8Di/tgZmIUY5kVSuRm66FL1Owyh0rtZ/Ds1Vv2LuqlLlObcmtXKEizmiWo23MBI+bsZuHoVlimSwVAGnMTxvSuS//JWxOwZeJHbI/Nfy+ep1btOixfuZZ1GzZjmyEjPbp24vXr1xr5ypYrz5Fjp9SvKdNmqpdt37aFO7dusXbjFpo0bcawIQNRFAWAZ8+esmP7Nvr07Z9wO52A4rs9AwMDuXvnNl2792DLtp3MnDMfTw8P+vbuoS5D2vOrwM+fsctixx/9B2JlFf0XoYB37+jQpiUGBoYsWLyMnXv2M3DwUNKkiTj/79+7y8L5c5kybSZTps1kwdzZPLh/D4DQ0FAmjHVj5OgxGBj8/DdGVCrdXr8aCYDiYN2aVTRq0owGDRuTM1cuRrqNxcTEhN07d0Sbf8P6tZQpV54OnX4nR86c9P6jH/ny52fzxvXqPFevXqFu/QaULOVE5sx2NGnWnDwOebl5I+LbkcfjR5QoVYoCBQtRq85vpDI35/mzZwDMmjGNZs1bkjFTpoTf+TgwMTakQVVHRszezenLj3j81IeJSw7w6Kk3XZqWJ1dWG5wKZ+ePiZu5dNuLB0/e8MekLZgYG9KsVvEYy+04Yg1Lt53k+v3n3Pd8TY9xG9BTqajk5ACgVbl5s2fg5KUHXL7txdZDlwj4GIh9JksAJvZtwLJtJ3n6yj/hGymOYntsuk+dQfOWrcmbLx/Zc+RkzLgJhIeHc+HcWY18RkZGWFlbq19p0n4NLj0ePaJi5SrkypWb5i1b4+/nh79/RFtNHDeGfgMGYW5unmD7nJDiuz1Tp07NkuWrqFGzNvbZc1C4iCOuI0Zx+9YtXr54AUh7fqtgocIMGDSUWrXrYGQU/ZeglSuWYZshA+MnulOocGHs7LJQpmw5smSN6Fn28HhM7jwOODmXxsm5NLnzOODh8RiI6BkqXqIEBQsVTpgdTmQqlUqn169GAiAdhQQHc+f2LZxLl1Gn6enp4exchuvXrkS7zvWrV3F2Lq2RVqZsOa5fvap+7+hYlONH/+H169coisKF8+d44ulB6bLlAMjjkJfbN28S8O4dt2/dJCgwkKxZs3H50r/cvX2LVm3axv/OxjMDfT0MDPQJDA7RSA8MCqFM0ZwYG0V8AwsM/toVrSgKwcGhlHHMqfV2zEyMMDTQx//dJwCtyr1+/znF8mUlXWpTiubLgqmxIY+eelPGMQdF82VhwaZjOu1zYtLl2PyvwMDPhIaGagQ4AP9evECl8qWpV6cGE8a58fbt12AwT968XLl8icDAQM6cPoW1tTUWFhbs37cHY2NjqrpUi58dTGQJ2Z7f+vDhAyqVitRp0gDSnrF1/Og/FChQkEH9/6BS+dI0a9yAHdu+9tbmzu3AE09PXr54wYsXz3nyxJNcufLw1MuL3bt20vuPfnHZrWRFeoC08/P39SUR/7f+hIWFYWlpqZFuaWmp/lbxXz4+PlhaWkXJ7+Pro34/bMQoxrmNonqVChgYGKBSqXAbO4HiJUoCEbcg6tStR6vmTTA2MWH8pCmYmpoycfxYxk90Z+vmTWzauA6LdBaMGjueXLlyx/Oex92HT0Gcu/YY1y61uOfxmte+ATSrWQKnwtl59NSbe56v8Hrpx/g+9eg9YRMfPwfzR5vK2GWwIINVzB8g/zWhb31eer/jn/N3AbQq9++zd9h04CKn1g/hc1AIXUav4+PnYOYMb0FXt3V0bVqeHi0q4vv2A73Gb+LO41cJ0kZxocux+V+zZ0zH2sZG40OqTLnyVHWpRmY7O54+fcq82TPp2a0L6zZuQV9fnwYNG/Pg3j0a1quNRToLps6YTcC7dyycP5cVq9Yxf84sDh08gF2WrIydMAlbW9t43e+EklDt+a2goCBmz5xOrdp11L060p6x8+zZU7Zu2UTb9h3p3LU7t27cYIr7BAwNDanXoCE5cuakT7/+dOvSEYA/+g0gR86cdO3cgf4DB3Pm1CkWLZyPgYEBQ11HqK+5P6NfsTdHF8kqANLT0/vhH06lUn13kFpQUBBBQUEaaYq+McbGxvFSx4S2acM6rl+/ypz5i8iUKROX/v2XSRPGalw8e/TqQ49efdTrLF44H2fn0hgYGLBsySK2797LieNHGek6lM3bdibVrnxXp5FrWTKmNY//nEhoaBhX7z5l66F/KZovK6Gh4bQYuIxFbq15eWIaoaFh/HP+HodO3dL6W8qgjtVoWqM4NbrMIehLj4+25U5ccoCJSw6o3w/vWouj5+8SEhrG0N9rUrLZJGqVL8jy8e0o23pqfDZLsrBi2VIOHTzAitVrNc6bWrXrqP+fO48DefI4UKemC/9evICTc2kMDQ0ZPspNo6xRI1xp1botd+/c5p9/jrB15/9YvXI5UyZNYOaceYm2T0kppvaMFBISwuABfVEUhRGjx6rTpT1jJzxcoUDBgvzRbwAA+fLl5+HDB2zbupl6DRoC0Kx5S5o1b6leZ8/uXZilSkWRIo7U/60mG7Zs5/WrVwwd1J8Df/4T4+02kTIkqwBo165dMS47e/Ysc+fOJTw8/LtluLu7M3bsWI20EaMiBrfFJ4t0Fujr60cZtOfr64uVlVW061hZWeH7TW+POv+XXqHAwEDmzp7FrLnzqVCxEhBxy+vevTusWbUi2m+PHo8fsX/vHrZs38WuXTsoXqIE6dOnp3qNWriNHM7Hjx9IlSr5jRPweOZD9d/nYGZiRBpzE175BLBuckc8nke0z5U7T3FuMZk05iYYGRrg4/+BE2sHcem21w/L7te2KgM7VqNO9/ncfPBCY1lsy81jb0vLOiVxbjGZ9g1Kc/ryQ3z8P7Djz8ssHdsGczNjPnwKinbdpKLLsRlpzaoVrFqxlCXLV5HHIe9389plyYKFhQVeXk9w+s+tXYAL58/x6OEDxoybwMzpUylfvgJmZmZUr1mLzRs3xH7HkkhCtmdISAiDB/bj5YsXLFu15rtjeqQ9v8/a2pocOTVvkefIkYO//zocbX5/fz8WL5rPqjUbuHH9Glmz2ZPtyys0NJQnnh7kzuOgc32SkvQAaSdZjQGqX79+lFfevHlZvXo106dPp2nTpty7d++7Zbi6uvLu3TuN1+ChrvFeV0MjI/LlL8D5bwaJhoeHc/78WQoXKRrtOoUdHTl/7pxG2rmzZyjs6AhEPIkQGhoS5XFEPT19wr88/fEtRVEYP9aNgUOGYZYqFeFh4YSEhqrLAggL+37AmNQ+BQbzyieAdKlNcSmTj33HbmgsD/gQiI//B3JmtaZY/qzsO/b9aQYGtHdhWJea1O+1kMvfCZa0LXf+yBYMnbGTj5+D0dfTw9BAH0D9r75esjqFAN2OTYBVK5axdPFCFi5ZToGChX64ndevXvH27Vuso3kqJygoCPcJ4xg1Zhz6+vqEh4epj8nQkFDCw8N02LOkkVDtGRn8eD15wpIVq0mXziLGsqQ9f8yxaDE8PTw00p54epIpU+Zo80+b4k6bdh2wzZCBsPBwjTsLoWFhyf7a+T0yBkg7ye/q/cWLFy/o0qULhQoVIjQ0lKtXr7JmzRqyZcv23fWMjY1JkyaNxiuhbn+1bd+Rndu3smf3Lh4/esSEcWP4/PkzDRo2AmCE6xDmzJqhzt+6TTvOnD7JmtUr8Xj8iEUL5nHr5k1atGoDgLm5OSVKlmLm9GlcvHCeZ8+e8r9dO9m3ZzdVq7pE2f7O7duwsEhPpcpVgIgLwMXz57h+7Srr164mR85cpPkyoDK5cSmdj2pl8pEtkyVVnPJyaFlf7nu8Zu2eiItiI5eilC+eG/vMlvxWqRD7F/Vm77HrHDl3V13G8vFtGdennvr9wA4ujO5Zh+5jN/DkhS+2lqmxtUxNKtOv3djalBupY8My+Ph/4MCJmwCcvfqYiiXzUKqQPX3aVOb2o5e8+/A5oZooTmJ7bK5cvpQF8+YwdvwkMmXKjI+3Nz7e3nz6+BGImJ9q5vQpXL92lefPn3H+3Fn69ulJlqzZKFOufJTtL128kHIVKpIvX34g4tg88vdf3L93l82b1uNYtFjCN0I8iu/2DAkJYVD/P7h96ybuU6YTHhamzhMSHBxl+796e4YEB3P3zh3u3rlDSEgwb9685u6dO3g9eaLO06Zde25cv8bypYvxevKEA/v2sn37Vpq3bBVl+2fPnOaJpyctWrYGoGDBQnh6PObUyeNs37oFfT097LNnT9hGSEDyFJh2ktUtMIB3794xadIk5s2bh6OjI0eOHKF8+agX2OSgZq3a+Pv5sXD+XHx8vHHIm4+FS5Zj+aUb99XLl+ipvsaYjkWL4T51OvPnzmbe7JlkzWbP7HkLyJ07jzrPlGkzmTN7Jq5DBxHw7h0ZM2Wi9x/9afrNfWsAXx8fli9dzJoNXydJLFS4MG3bd6R3j26kt0zP+IlTErgFdJfW3IRxfeqR2TYdfu8+8b8jV3FbsJfQ0IhvXRms0zBlYCNsLFPzyieADfvO4770kEYZWTKkJzz8a89Yl6blMTYyZNP03zXyTVj8dUyPNuVCxISJQ3+vQeUOX+e5+ffWE+asP8LOuT3w9ntPl9Hr4q094ltsj81tWzYTEhLCwP5/aJTTvWdvevTqg56+Pvfv3WfP/3bzPuA9NjY2lC5Tll59+kYZJ/HgwX3+PHSQLTt2q9OqVa/Jvxcu0LFda7LZZ2fy1Bn8TOK7Pd+8ec2xo/8A0KxxfY08y1etpWQpJ/V7aU944/2G5k0aqN+vWbWSNatWUqJkKVasjjgPCxYqzMw585k7eyZLFi0gs50dQ4YOp85v9TS2HRgYiPvEcUydPhu9Lz24thkyMGz4KEaPGI6RkRHjJ03BxMQkgVsh4fyCsYxOVIoSzb2VJDJ16lSmTJlChgwZmDRpEvXr1//xSloI/Pkn9kxWLEr2TuoqpCj+F+cndRWEEAnMJBG7G4qPP6rTepdGVY7nmiRvyaoHaNiwYZiampIrVy7WrFnDmjVros23c2fyfLJJCCGESGrSA6SdZBUAtWvX7pe8DymEEELEF/kc1U6yCoBWr16d1FUQQgghfmoS/2gnWQVAQgghhIgb6QHSjgRAQgghRAoi8Y92JAASQgghUhDpAdJOsp0IUQghhBAioUgPkBBCCJGCSAeQdiQAEkIIIVIQuQWmHQmAhBBCiBRE4h/tSAAkhBBCpCDSA6QdrQKg7Nmzx7pBVSoVjx490qlSQgghhNCNBEDa0SoAqlixojSoEEII8ROQj2vtaBUAyU9UCCGEED8H6bDQjowBEkIIIVIQiX+0o/NEiAEBAUyePJkaNWpQtGhRLly4AICfnx8zZ87k4cOH8VZJIYQQQmhHpVLp9PoZvH37luXLl+Pq6oqfnx8Aly9f5vnz57EuS6ceoGfPnlGxYkWePn1K7ty5uXv3Lh8+fAAgffr0LFmyhCdPnjBnzhxdihdCCCGEjn6SWCbWrl+/jouLC2nTpsXT05MuXbqQPn16du7ciZeXF2vXro1VeTr1AA0ePJj3799z9epVjh8/jqIoGssbNGjA33//rUvRQgghhIgDPZVKp1dyN2DAADp06MCDBw8wMTFRp9euXZsTJ07EujydAqA///yTP/74g/z580fbbZYjRw6ePn2qS9FCCCGE+AksWLAAe3t7TExMcHJyUg+Ficnbt2/p1asXGTNmxNjYmDx58nDgwAGtt3fx4kW6desWJT1z5sy8evUq1vXX6RbY58+fsba2jnH5+/fvdSlWCCGEEHGUGJ05W7ZsYcCAASxevBgnJydmz55NjRo1uHfvHjY2NlHyBwcHU61aNWxsbNi+fTuZM2fmyZMnpEuXTuttGhsbExAQECX9/v37341JYqJTD1D+/Pm/2920e/duihYtqkvRQgghhIiDxBgEPXPmTLp06ULHjh3Jnz8/ixcvxszMjJUrV0abf+XKlfj5+bF7927Kli2Lvb09FStWpEiRIlpvs169eowbN46QkBD1fnp5eTF06FAaN24cq/qDjgFQv3792Lx5M1OmTOHdu3cAhIeH8/DhQ9q2bcvZs2fp37+/LkULIYQQIg70VLq9goKCCAgI0HgFBQVFKT84OJhLly7h4uLydZt6eri4uHD27Nlo67Rnzx5Kly5Nr169sLW1pWDBgkyaNImwsDCt92vGjBl8+PABGxsbPn/+TMWKFcmVKxepU6dm4sSJsW4nnW6BtWnThidPnjBy5EhGjBgBQM2aNVEUBT09PSZNmkSDBg10KVoIIYQQcaDrI+3u7u6MHTtWI83NzY0xY8ZopPn4+BAWFoatra1Guq2tLXfv3o227MePH/PPP//QunVrDhw4wMOHD+nZsychISG4ublpVb+0adPy119/cerUKa5fv86HDx8oVqyYRiAWGyrlv49wxYKXlxc7duzg4cOHhIeHkzNnTho1akSOHDl0LTJBBIYmdQ1SlnDdDxkRDUvnfkldhRTD/7xMvRGf5FSPP6aGibetOku+Pxg5Jjs7FInS42NsbIyxsbFG2osXL8icOTNnzpyhdOnS6vQhQ4Zw/Phxzp8/H6XsPHnyEBgYiIeHB/r6+kDEbbRp06bx8uVLneobV3GaCTpr1qxyq0sIIYRIRlTo1gMUXbATHSsrK/T19Xn9+rVG+uvXr8mQIUO062TMmBFDQ0N18AOQL18+Xr16RXBwMEZGRj/c7ty5c6NNV6lUmJiYkCtXLipUqKCxje+JUwB08+ZNDhw4gKenJxDxq/E1a9akUKFCcSlWCCGEEDrSS+CnwIyMjChevDhHjhxRD3cJDw/nyJEj9O7dO9p1ypYty8aNGwkPD0dPL2L48f3798mYMaNWwQ/ArFmz8Pb25tOnT1hYWADg7++PmZkZ5ubmvHnzhhw5cnD06FGyZMnyw/J0GgQdFBREhw4dKFKkCMOGDWPp0qUsXbqUoUOH4ujoSLt27QgODtalaCGEEELEQWI8BTZgwACWLVvGmjVruHPnDj169ODjx4907NgRgHbt2uHq6qrO36NHD/z8/Ojbty/3799n//79TJo0iV69emm9zUmTJlGyZEkePHiAr68vvr6+3L9/HycnJ+bMmYOXlxcZMmTQ+s6UTj1AQ4cOZe3atfTs2ZM+ffqQM2dOVCoVDx8+ZO7cuSxatIj06dMze/ZsXYoXQgghhI4SYx6g5s2b4+3tzejRo3n16hWOjo4cOnRIPTDay8tL3dMDkCVLFg4fPkz//v0pXLgwmTNnpm/fvgwdOlTrbY4cOZIdO3aQM2dOdVquXLmYPn06jRs35vHjx0ydOlXrR+J1GgRtZWVFnTp1WLNmTbTL27Zty8GDB/Hx8Ylt0QlCBkHHLxkEHb9kEHT8kUHQ8UtO9fiTmIOgG624pNN6OzsXj+eaxC8zMzNOnDhBiRIlNNIvXrxIxYoV+fTpE56enhQsWFD9+6Tfo9MtsJCQEJydnWNcXqZMGUJDJeoQQgghEptKpdsruatcuTLdunXjypUr6rQrV67Qo0cPqlSpAsCNGzfInj27VuXpFADVqFGDw4cPx7j80KFDVK9eXZeihRBCCCGiWLFiBenTp6d48eLqJ9ZKlChB+vTpWbFiBQDm5ubMmDFDq/K0GgPk5+en8X78+PE0a9aMRo0a0atXL3LlygXAgwcPWLBgAU+ePGHLli2x2S8hhBBCxANdJ0JM7jJkyMBff/3F3bt3uX//PgAODg44ODio81SuXFnr8rQKgKysrKI0qKIo3Lhxg//9739R0gEKFCggt8GEEEKIRJZC4x+1vHnzkjdv3jiXo1UANHr06BQbUQohhBApiV4K/rx+9uwZe/bswcvLK8p0OzNnzoxVWVoFQP/9HRAhhBBCJE8pNfw5cuQI9erVI0eOHNy9e5eCBQvi6emJoigUK1Ys1uXpNAhaCCGEEMlTYkyEmBRcXV0ZNGgQN27cwMTEhB07dvD06VMqVqxI06ZNY11enH4K4/Tp01y+fJl3794RHh6usUylUjFq1Ki4FC+EEEKIWEron8JIKnfu3GHTpk0AGBgY8PnzZ8zNzRk3bhz169enR48esSpPpwDIz8+POnXqcOHCBRRFQaVSqQc/R/5fAiAhhBAi8f0MvTm6SJUqlXrcT8aMGXn06BEFChQA0GniZZ1ugQ0ePJjr16+zceNGHj9+jKIoHD58mPv379O9e3ccHR158eKFLkULIYQQIg5S6kSIzs7OnDp1CoDatWszcOBAJk6cSKdOnb47OXNMdAqADhw4QLdu3WjevDmpU6eOKEhPj1y5crFgwQLs7e3p16+fLkULIYQQIg5S6higmTNn4uTkBMDYsWOpWrUqW7Zswd7eXj0RYmzodAvs7du36m4nc3NzAI3f3ahevTrDhw/XpWghhBBCxEFKHQOUI0cO9f9TpUrF4sWL41SeTj1AmTJl4tWrVwAYGxtjY2PDtWvX1MufP3/+U0STQgghREqTUnuAcuTIga+vb5T0t2/fagRH2tKpB6hChQr89ddfjBgxAoDmzZszdepU9PX1CQ8PZ/bs2dSoUUOXooUQQgghovD09CQsLCxKelBQEM+fP491eToFQAMGDOCvv/4iKCgIY2NjxowZw61bt9RPfVWoUIG5c+fqUrQQQggh4iD59+XEzp49e9T/P3z4MGnTplW/DwsL48iRI9jb28e6XJ0CoEKFClGoUCH1ewsLC/7++2/evn2Lvr6+emC0EEIIIRJXSvspjAYNGgARt/bat2+vsczQ0BB7e3utfwH+W/E6E3S6dOlInTo1GzdupHr16vFZdLK1eeMGalWrQsmihWjdoik3rl//bv4/Dx+k/m81KVm0EI0b1OXkieMayxVFYcG8OVStWI5SxQrTtXMHnjzxVC8PDg5m+LDBlClVjLq1a3Du7BmN9VevXI77xPHxtn+J5dK/F+nbqzvVKpenaMG8HD3y9w/X+ffCeVo2bUSpooWoV6s6e3bv1FgeFhbGgnlzqFOjKs7Fi1C3ZjWWLl6onrMKYO2qFVSpUIYqFcqwdvVKjfVvXL9Gq2aNfoof9TU3M2bawIbc2+eG3+lpHF3Zj+L5s6qXpzI1YtaQxjw8MBa/09O4vM2V3xuX1br8ptWL8vnSHLbO6KyRPqJrTa7uGI7Pqam8OOrO/oU9KVkwm3q5kaE+K8a14fXxKVzfOYLKpfJorN+/bRVmDm6s414nrvg+1319fBg1fBgulcrhVLwIPbp21jjXAaZNcad86VJUr1qR/fv2aCz78/BB+vTsHi/7lhQ2b9pArepVKFWsEG1aNuXGje+3Z6RDB/bjWNCBfn/01EhXFIWF8+d8ac/CdPs96rVzxLDBlHUqRr060V87J0/6+a6d0Ulpj8GHh4cTHh5O1qxZefPmjfp9eHg4QUFB3Lt3j99++y3W5SbIT2F4eHhw5MiRhCg6WTl08ADTp7rTrWcvNm/bhYNDXnp06xztIC2Aq1cuM2zwQBo2asKW7bupXKUq/fr04sGD++o8q1YsY9OGdYx0G8P6TVsxNTWlR9fOBAUFAbB92xbu3LrF2o1baNK0GcOGDFR/oD979pQd27fRp2//hN/5ePb582fyOOTFdcRorfI/f/aMPr26U6JUKTZv302rtu0Y5zaKM6dPqvOsXrGM7Vs2MWz4KHbu2c8fAwayZuVyNm1YB8D9e/dYtGAek6fNxH3qDBbOm8OD+/cACA0NZeK4MYwYNRYDgzhNmJ4oFo1qQRUnBzqNWk+J5lP4+9xd9i/qSSbriK7iKQMaUq1MPjqOWodjE3fmbzzGrCGNqVOh4A/LzpoxPe79GnDq8sMoyx56edN/ynZKNJ9C1c5zePLSj70LemCVLhUAnRuVoWi+LFTqOIuVu86wemI79brZMqWnY8PSuC3cF0+tkHDi+1xXFIV+f/Ti2bOnzJ63kC3bd5ExU2a6de7Ip0+fADh29B8O7t/H4mUr6D9gMGNHj8Tf3w+A9+/fM2/ObIaP1O58SW4OHzzAjKnudOvRi03bdpHHIS89u3XGL4b2jPT8+TNmzphCseIloixbvXIZGzesY8ToMazbGHHt7Nnt67Vzx7Yt3Ll9izUbttC4STNch369dj5/9pSdO7bR+4+f79oZnZQ6CNrDwwMrK6t4Ky9Z/xaYj48PAQEBSV2NGK1bs4pGTZrRoGFjcubKxUi3sZiYmLB7545o829Yv5Yy5crTodPv5MiZk95/9CNf/vxs3rgeiLgobli3li7delC5igt5HPIywX0q3m/e8M+XHhGPR4+oWLkKuXLlpnnL1vj7+eHv7w/AxHFj6DdgkHpqgp9JufIV6PVHP6q4VNMq//atm8mc2Y6Bg4eRI2dOWrRqQ9VqNdiwdo06z7WrV6hYuSrlK1YiU2Y7qlWviXOZsty6cQMAT4/H5M7jQCknZ5ycS5M7jwOeHh4ArFm1gmLFS1Dgm1u9yZWJsSENqhRhxNw9nL7yiMfPfJi49BCPnvrQpUlEL49z4eys33eBk5ce4vXSj5W7znL9wQtKFMj63bL19FSsntCW8UsO4vE86ofTlkOXOHrhPp7Pfbnz+BVDZ+4irbkpBXNnBsAhewb2n7jJncevWLz1FDbpU6uDo7muzRg5by/vPwbFc4vEv/g+15888eT6tauMGD2GgoUKY589ByNHjyEwKJBDB/YD4PH4ESVKlaJAwULUqvMbqczNef7sGQCzZkyjWfOWZMyUKXEaIJ6tW/tNe+bMxcjRX9pzV/TtCRE9usOHDqJHzz5ktsuisUx97ez69do5flLEtTOyN/nx4+9cO8ePoV//n/PaGZ2U1gP0rSNHjjB8+HB+//13OnXqpPGKrWQXAL19+5ZevXphZWWFra0tFhYWZMiQAVdXV/U3o+QgJDiYO7dv4Vy6jDpNT08PZ+cyXL92Jdp1rl+9irNzaY20MmXLcf3qVSCiV8PHxxsn569lpk6dmkKFi6jLzJM3L1cuXyIwMJAzp09hbW2NhYUF+/ftwdjYmKpaBhA/u2vXruIUpS3Lcv3aVfX7Io5FuXD+LE88I4Kae3fvcvXyZcqWrwBArtx5eOLpycuXL3jx4jlPnniSM1dunnp5sWf3Tnr90TfR9icuDPT1MDDQJzBI81ZdYFAIZRwjHg09d92D3yoUUvcIVSiRi9xZrfn73L3vlj28S028/T+w5n/nflgPQwN9Ojcqw9v3n7jxIOKJjBv3n1PGMQcmxoZUK52Xl97v8Hn7kRa1ihMUHMKeo9rd9khKCXGuh3yZzt/YyFijTCMjI65cvgRAHoe83L55k4B377h96yZBgYFkzZqNy5f+5e7tW7Rq0zY+dzPRhIREtOe31zk9PT2cvtOeAEsWLSB9eksaNo76o5fqa2fpqNfOa1/KdHCI+dppZGys9Zevn4GeSqXTK7kbO3Ys1atX58iRI/j4+ODv76/xiq1k1bfv5+dH6dKlef78Oa1btyZfvnwA3L59m3nz5vHXX39x6tQprl+/zrlz5/jjjz+SrK7+b/0JCwvD0tJSI93S0hIPj8fRruPj44OlpVWU/D6+Pl+We0ekWUUtM/J3Tho0bMyDe/doWK82FuksmDpjNgHv3rFw/lxWrFrH/DmzOHTwAHZZsjJ2wiRsbW3jZX+TG18fb9L/p+3TW1rx4cMHAgMDMTExoePvXfnw8SMN69ZGX1+fsLAwev3Rj9q/1QWI+Gbetz89ukR8c+jTdwA5cuak2+8d6TdgMGdOn2LJwgUYGBgweNhwipcomej7qY0Pn4I4d80D19+rc8/jFa/93tOsRnGcCtnz6GnEMTVg6nYWjGzBo0PjCAkNIzxcoeeEzZy+8ijGcss45qBDfWecWk397vZrlS/A2kntMTMx5JVPAL/1XITv248ArNlzjoK5M3Flmyu+bz/SZthqLNKYMap7bWp0nYdbj9o0rVGMx8986D52Ey+838Vfw8SThDjX7bPnIGPGTMydPYNRbuMwNTVl3drVvH71Cm/viL9Z2XLlqVO3Hq2aN8HYxITxk6ZgamrKxPFjGT/Rna2bN7Fp4zos0lkwaux4cuXKnQB7H//8/WNuT88Y2vPK5X/ZvWs7W7bvjna5+toZ5Zpgie+Xa2f9ho25f/8ejerXJl3ktTPgHYvmz2X5qnXMnzuLw1+unWPG/9zXzp8gltHJ4sWLWb16NW3bxk/wn6wCoHHjxmFkZMSjR4+iHHzjxo2jevXqtG3blj///DPGx+yDgoLU93wjKfrGGBsbR5v/Z2NoaMjwUW4aaaNGuNKqdVvu3rnNP/8cYevO/7F65XKmTJrAzDnzkqimSe/PQwc5uG8vk6ZMJ2euXNy7e5fpUyZhbWNDvfoNAWjavAVNm7dQr7Pnf7tIZZaKwkUcaVC3Fus3b+PN61cMGzyA/YePYGRklFS7812dRq9jyehWPD48ntDQMK7efcbWw5cpms8OgJ4tKlCqYDYa91uK10t/yhXLyeyhTXjp/Y6jF+5HKc/czJgV49rQc8JmdTATk+MXH+DUcipW6VLRsWEZ1k/uQIX2M/H2/0BoaDj9p2zn25EVS9xasXDzCYo42FG3UmFKtZjKgPZVmTG4MS2HrIxxOymJoaEhM+fMY8yoEZQvUwp9fX2cnEtTrnwFjUH6PXr1oUevPur3ixfOx9m5NAYGBixbsojtu/dy4vhRRroOZfO2ndFt6qf38eMHRrgOYfSY8VhYpNe5HENDQ4aP1Lx2jh7pSsvWbbl79zZH/znC1h3/Y9XK5Ux1n8CM2T/vtfNnGM+ji+DgYMqUKfPjjFrSOgAqXLiw1oW+efNGp8rs3r2bJUuWRBt5Z8iQgalTp1K7dm3c3NyiPAoXyd3dnbFjx2qkjRjlxsjRY3SqU0ws0lmgr68fZRCkr69vjIO0rKys8PX1iZr/yzdFKyvriDQfX6ytbTTyOOTNG22ZF86f49HDB4wZN4GZ06dSvnwFzMzMqF6zFps3btB5/5I7SyvrKAMm/Xx9MDc3x8TEBIDZM6bR8fcu1KxdB4DceRx4+fIFq5YvVQdA3/L392fpogWsWL2eGzeuky2bvfoVGhrKE08PcudxSPid04HHM1+qd52HmYkRacxNeOUTwDr39ng898XE2JCxvX6j+aAVHDp1G4CbD19Q2CEz/dpWiTYAymFnhX1mS3bM6qJO0/syv/778zMp3HgiHs8i2v9TYDCPn/nw+JkPF24+4caukbRv4Mz0VVGf5KtQIhf5c2Sgx/hNuPetz+HTt/kUGMyOv67QvVn5hGiaOEuIcx0gf4GCbN35P96/f09ISAjp06endYumFCgQ/cB0j8eP2L93D1u272LXrh0UL1GC9OnTU71GLdxGDufjxw+kSpX8x7BYWMSuPZ8+fcqL58/p27uHOi08PByA4kXys3vvoa/XTl/Na6efry95HKK/dl68EHHtdBs7gVkzplKufAVMv1w7O7f/ua+dyW5sSzz5/fff2bhxo3rOwbjSOgBKnz691lGlpaWl+vZVbLx8+VL9G2PRKViwIHp6eri5ucWYx9XVlQEDBmikKfrx3/tjaGREvvwFOH/uLFWqugARJ+X582dp0bJNtOsUdnTk/LlztGnXQZ127uwZCjs6ApDZzg4rK2vOnz9L3i/t9+HDB25cv0bT5i2jlBcUFIT7hHFMmjr9yyzcYYR++fYYGhJKeHjUGTNTiiJFHDl1UvOx4nNnz1C4iKP6fWDgZ1QqzUuBnp6e+uL5XzOmuNO6bXtsM2Tg1s0bGo+/h4WFxbhecvIpMJhPgcGkS22KS+m8jJizB0MDPYwMDQgPVzTyhoWFq4Oa/7rn+ZrizSZrpI3pWRtzMxMGTd/Js1dvY6yDnp4KY8OolxZjIwNmD21Kx5FrCQ9X0NfXU19TDA300ddPnt9aE+Jc/1bkvGlPnnhy+9ZNevWJOvZMURTGj3Vj4JBhmKVKRXhYOCFfjs/I4zQsLPkfnwCGhhHteeG8ZnteiKE9s2fPwfZdezXS5s+bzaePHxkybAQZMmbAwMAQKytrLpw7S968/7l2NvvOtXPKdPXt8ciet9DQUMJ+8mtnSu0BCgwMZOnSpfz9998ULlwYQ0NDjeUzZ86MVXlaB0DHjh2LVcG6sLKywtPTEzs7u2iXe3h4YGNjE+2ySMbGUW93BSbQNC5t23dk1PChFChQkIKFCrN+3Ro+f/5Mg4aNABjhOgQbG1v69h8IQOs27ejcoS1rVq+kQoWKHDp4gFs3bzJqzDgg4qBt3bYdy5YsIlvWbGS2s2PBvDlY29ioLxTfWrp4IeUqVCRfvvwAOBYtxqzp06jfsBGbN63HsWixhNnxBPDp00eeenmp3z9//ox7d++QJm3aiLESs2bw5s0bJrhPAaBJsxZs3rSB2TOmUb9hYy5eOMdfhw8xd+HXH8erUKkyK5YtJmPGjOTMlYu7d+6wfu1qGjSMOu/MuTOnefLEk3GTIj70CxQshKfHY06dPMHrVy/R19Mjm332BG4F3bmUzosKuP/kDTmzWDOpbz3ue75h7d7zhIaGc+LfB0zqW5/PQSF4vfSjfPFctK5TkqGzdqvLWD62NS+83zF6/j6CgkO5/eilxjbevv8MoE43MzFiaOfq7D9+g1c+AVimS0W3ZuXJZJ2WnX9fjVJH199rcPj0ba7dixggffbaYyb1rc/aPefp3rw8Z695JEjbxIf4PtchYh4fC4v0ZMyYiQcP7jHVfRKVq7hQpmy5KNvfuX0bFhbpqVS5ChBxri9eOI/r165y6uQJcuTMRZo0aRKhJeJH23YdGTViKPkLFKRgwcJsWB/RnvUbRLTnyC/t+Uf/gRgbG5Mrt+b8UalTR+zrt+mt27Zj2dJFZM2WjcyZ7VgwP+LaWTmma2f5iuT95to5e8Y06jdoxJaN63F0/HmundFJqT+Gev36dRy/fIm4efOmxjJdgr5kNQaoRo0ajBgxgr/++ivKWIugoCBGjRpFzZo1k6h2UdWsVRt/Pz8Wzp+Lj483DnnzsXDJciy/dOO+evkSvW96IByLFsN96nTmz53NvNkzyZrNntnzFpD7m5O4Y+cufP78mXFjRvP+fQBFixVn4ZLlUYK6Bw/u8+ehg2zZsVudVq16Tf69cIGO7VqTzT47k6fGfmbMpHL75k26dPp6W3PG1IhApG79BoybOBkfH29evXyhXp7Zzo55CxYzfepkNq5fi61tBkaPHU+Zsl9vowwdPpKF8+YyacI4/P0iusabNG1O1x6aE6gFBgYyedJ4pkyfhZ5exN/LNkMGhriOZMzI4RgaGTFu4mT1rbXkKK25CeN61yWzTTr8Aj7yvyPXcFu4n9DQiF6BdsPXMK53XVZPaItFGjO8XvkzZuF+lm0/rS4jSwYLwhUlpk1EERYejoO9DW1+64RlOnP83n3k31teuPw+lzuPX2nkzZ8zI42rFcWp5dcB1Tv/vkb54rn5e8UfPPB8Q/sRa+PYCgknIc51b29vpk+d/OWWtzW/1atPt+49o2zb18eH5UsXs2bDJnVaocKFadu+I717dCO9ZXrGT5ySgHsf/2rUqo2/vx+Lvm3PxV/b8+XLl6j0Yncjp0OniGvn+G+vnYujXjsfPrjPn4cPsvWbAdXVqtfk34sX6NQ+4trp/hNdO38lR48ejdfyVIoSiyteAnv27BklSpTA2NiYXr16kTdvXhRF4c6dOyxcuJCgoCAuXrxI1qzfn7vkvxKqB+hXFZsPSfFjls79kroKKYb/+TlJXYUURU71+GNq+OM88WXAnrs6rTezXvTjpZKbhw8f8ujRIypUqICpqSmKovz8PUB2dnacPXuWnj174urqqr4nq1KpqFatGvPnz4918COEEEL8SlLqGCBfX1+aNWvG0aNHUalUPHjwgBw5ctC5c2csLCxi/XtgyW6wePbs2Tl48CA+Pj6cO3eOc+fO4e3tzaFDh8iVK1dSV08IIYRI1vRUur2Su/79+2NoaIiXlxdmZmbq9ObNm3Po0KFYl5eseoC+ZWFhQalSpZK6GkIIIcRPJYV2APHnn39y+PDhKA9K5c6dmydPnsS6vGQbAAkhhBAi9n6Gn7XQxcePHzV6fiL5+fnpNNlxnG6BPX/+nE2bNjFnzhyeffmRvrCwMPz8/AgL+7nnURBCCCF+Rno6vpK78uXLs3bt16dFVSoV4eHhTJ06lcqVK8e6PJ16gBRFYeDAgcyfP5/Q0FBUKhWFChXCzs6ODx8+YG9vz7hx4+jXr58uxQshhBBCRym0A4ipU6dStWpV/v33X4KDgxkyZAi3bt3Cz8+P06dP/7iA/9Ap6Js2bRpz5sxh0KBB/PXXXxq/XZM2bVoaNWrEjh07dClaCCGEEHGQUn8NvmDBgty/f59y5cpRv359Pn78SKNGjbhy5Qo5c+aMdXk69QAtW7aMdu3aMWnSpCi/5wIRvxt28OBBXYoWQgghRBz8BLGMztKmTcuIESPipSydeoCePn363V9kTZUqFQEBATpXSgghhBC6SamPwa9atYpt27ZFSd+2bRtr1qyJdXk6BUA2NjY8ffo0xuWXLl2SCQuFEEKIJJBSb4G5u7tj9eXnUr5lY2PDpEmTYl2eTgFQo0aNWLx4MY8fP1anRc48+eeff7J69WqaNm2qS9FCCCGEEFF4eXmRPXvUH6XOli0bXt/8mLa2dAqAxo4dS8aMGXF0dKRdu3aoVCqmTJlCuXLlqFWrFoULF2b48OG6FC2EEEKIOFCpdHsldzY2Nly/fj1K+rVr17C0tIx1eToFQGnTpuXcuXMMGTKE58+fY2JiwvHjx3n79i1ubm6cPHky2smKhBBCCJGwUuoYoJYtW/LHH39w9OhRwsLCCAsL459//qFv3760aNEi1uUlq1+DTyjya/DxS34NPn7Jr8HHH/k1+Pglp3r8Scxfg5905JFO6w2vGvtHyRNTcHAwbdu2Zdu2bRgYRDzEHh4eTrt27Vi8eDFGRkaxKk9+CkMIIYRIQX6G3pzYUhSFV69esXr1aiZMmMDVq1cxNTWlUKFCZMuWTacydQqAOnXq9MM8KpWKFStW6FK8EEIIIXSUUgOgXLlycevWLXLnzk3u3LnjXKZOAdA///yjfuorUlhYGC9fviQsLAxra2tSpUoV58oJIYQQInb++/mcEujp6ZE7d258fX3jJfgBHQdBe3p64uHhofHy8vLi06dPzJ07l9SpU3PkyJF4qaAQQgghtJdSB0FPnjyZwYMHc/PmzXgpL15/ANbQ0JDevXtTvXp1evfuHZ9FCyGEEEILifUY/IIFC7C3t8fExAQnJycuXLig1XqbN29GpVLRoEGDWG2vXbt2XLhwgSJFimBqakr69Ok1XrGVIIOgixQpwrp16xKiaCGEEEJ8R2LM6rxlyxYGDBjA4sWLcXJyYvbs2dSoUYN79+5hY2MT43qenp4MGjSI8uXLx3qbs2fPjkONo0qQAOivv/6SeYCEEEKIJJAYt7NmzpxJly5d6NixIwCLFy9m//79rFy5kmHDhkW7TlhYGK1bt2bs2LGcPHmSt2/fxmqb7du3j2u1NegUAI0bNy7a9Ldv33LixAkuX74cYwMIIYQQIuHo2gEUFBREUFCQRpqxsTHGxsYaacHBwVy6dAlXV1d1mp6eHi4uLpw9ezbG8seNG4eNjQ2dO3fm5MmTOtXx0aNHrFq1ikePHjFnzhxsbGw4ePAgWbNmpUCBArEqS6cAaMyYMdGmW1hYkDNnThYvXkyXLl10KVoIIYQQcaCHbhGQu7s7Y8eO1Uhzc3OL8pnv4+NDWFgYtra2Gum2trbcvXs32rJPnTrFihUruHr1qk51Azh+/Di1atWibNmynDhxgokTJ2JjY8O1a9dYsWIF27dvj1V5OgVA4eHhuqwmUohXb4N+nEloTWYvjj/WrdckdRVSlFfr2iV1FVKQ5P+YlaurKwMGDNBI+2/vjy7ev39P27ZtWbZsWbS/5q6tYcOGMWHCBAYMGEDq1KnV6VWqVGH+/PmxLi/WAdDnz58ZMWIElStXpm7durHeoBBCCCESjq63wKK73RUdKysr9PX1ef36tUb669evyZAhQ5T8jx49wtPTUyNmiOxIMTAw4N69e+TM+eOf4bhx4wYbN26Mkm5jY4OPj88P1/+vWD8Gb2pqypIlS6LsuBBCCCGSXkLPA2RkZETx4sU15vsLDw/nyJEjlC5dOkr+vHnzcuPGDa5evap+1atXj8qVK3P16lWyZMmi1XbTpUvHy5cvo6RfuXKFzJkza78DX+h0C6x48eLxNhGREEIIIeJPYjwGP2DAANq3b0+JEiUoVaoUs2fP5uPHj+qnwtq1a0fmzJlxd3fHxMSEggULaqyfLl06gCjp39OiRQuGDh3Ktm3bUKlUhIeHc/r0aQYNGkS7drG/XatTADR79mxq165NwYIF6dChg/pXWYUQQgiRtBLjlzCaN2+Ot7c3o0eP5tWrVzg6OnLo0CH1wGgvLy/09OJ1rmUmTZpE7969yZo1K6GhoeTPn5+wsDBatWrFyJEjY12eSlEURZuMJ06cIF++fFhbW1OoUCF8fX15/fo1xsbGZM6cGVNTU82CVSquXbsW6wolhMDQpK5ByvLCPzCpq5CiZLIwSeoqpBgyCDp+ySDo+JPKKPEGQa+44KXTep1LZY3nmsSP8PBwpk2bxp49ewgODqZw4cI0btyYDx8+ULRoUZ1/G0zrrpvKlSuzfv16WrZsiaWlJVZWVjg4OOi0USGEEEIkjJT2W6gTJ05kzJgxuLi4YGpqysaNG1EUhZUrV8apXK0DIEVRiOwsOnbsWJw2KoQQQoiEEb83npLe2rVrWbhwId26dQPg77//pk6dOixfvjxOt9lSWjsJIYQQvzSVSqXTK7ny8vKidu3a6vcuLi6oVCpevHgRp3JjNXo5OTeQEEIIIX6GKRdjJzQ0FBMTzbGShoaGhISExKncWAVAbdq0oU2bNlrlValUhIbK6GMhhBAiMSXGY/CJSVEUOnTooDFJY2BgIN27dydVqlTqtJ07d8aq3FgFQC4uLuTJkydWGxBCCCFE4klZ4U/0vwKvbWfM98QqAGrfvj2tWrWK80aFEEIIIbSxatWqBClXZjAUQgghUpAUdgcswUgAJIQQQqQg8sCSdiQAEkIIIVIQmd9GO1oHQJE/XS+EEEKI5Et6gLQjPUBCCCFECiLhj3YkABJCCCFSEOkB0o4EQEIIIUQKImOAtCMBkBBCCJGCSA+QdiQAEkIIIVIQCX+0Iz1lcbR54wZqVatCyaKFaN2iKTeuX/9u/j8PH6T+bzUpWbQQjRvU5eSJ4xrLFUVhwbw5VK1YjlLFCtO1cweePPFULw8ODmb4sMGUKVWMurVrcO7sGY31V69cjvvE8fG2fwnlxtVLuA3pQ+v6LtQqV4QzJ/7RWL5+xSK6tKpPAxcnmtYsh2vfrty99f22/VGZ2pQbHBzMtPHDaVS9DL+3qMuVi+c01t++cTULZ7nHYc8TT2yOzb//+pOWzRpRzrkETiUcadaoPnv37I6S7/GjR/zRqztlnYrjVMKRVs0a8/KbX2SeNsWd8qVLUb1qRfbv26Ox7p+HD9KnZ/d427+EoqdSMbKZIzfmNeLNutZcm9OIIY0Kx5h/9u/OvN/Snp6188W5XOu0JizuUZb7i5ryem1rdrq6kDNDao087m1L8GRFC+4saEKzctk1ljVwzsbWIVViuceJ69K/F+nbuzvVq5SnWKG8HD3y9w/XCQ4OZv7cWdSuXgWnYoWoU6MKu3ftUC/fuX0rndq3pmKZUlQsU4ruv3fk5g3N433t6hVUrViGqhXLsG7NSo1lN65fo1WzRinm9ytVKt1evxoJgOLg0MEDTJ/qTreevdi8bRcODnnp0a0zvr6+0ea/euUywwYPpGGjJmzZvpvKVarSr08vHjy4r86zasUyNm1Yx0i3MazftBVTU1N6dO1MUFAQANu3beHOrVus3biFJk2bMWzIQBRFAeDZs6fs2L6NPn37J/zOx1Hg58/kyOVAzwGu0S7PnCUbPfu7smjNDqYvXI1txkyMGNCDt/5+OpepTbkH92znwb07zFq8lpr1mjBl7DB1+7568YxDe3bQvmufOOx54ojtsZk2bVp+79qDtRu2sH3nHuo3bITbyOGcPnVSneeplxcd2rYie/YcLF+9ju0799C1e0+MvvxA4bGj/3Bw/z4WL1tB/wGDGTt6JP5f2vX9+/fMmzOb4SNHJ/zOx9GA+gX5vZoDg1aep8SA3YzeeIl+9QrSvWbeKHnrlsxKydzWvPD7FC/lbh5UGXvb1LSY/g/lhu7lqc8H9oysjplxRGd9rWJ2NC2XgwYT/2LUhkvM71YGy9QR7Z/G1BC35kUZsOJ8PLVEwgj8/Jk8efIybIT2x8LQgf24cP4cbmMnsGvvQSZNmYG9/dfg79LFC9SsVYelK9ewev1mbDNkoGe3zrx5/RqA+/fusXjBPNynzmTSlBksnDeHB/fvARG/ND5p/BhGjB6LgUHKuCmih0qn169GAqA4WLdmFY2aNKNBw8bkzJWLkW5jMTExYffOHdHm37B+LWXKladDp9/JkTMnvf/oR778+dm8cT0Q0fuzYd1aunTrQeUqLuRxyMsE96l4v3nDP1++JXk8ekTFylXIlSs3zVu2xt/PD39/fwAmjhtDvwGDMDc3T5T9j4uSpcvRvmtvylasGu3yytVrU7SkMxkz25EtRy669BnEp48f8Hj0QOcytSn3qacHzmUrki1HLuo2bs67t/68exvRvvOnT6Rjj36kSpX82ze2x2bJUk5UdalGjpw5yZI1K63btid3HgeuXL6kzjNv7izKVahA/0FDyJcvP1myZqVSlapYWloC4PH4ESVKlaJAwULUqvMbqczNef7sGQCzZkyjWfOWZMyUKeF3Po6c8liz/9+nHL7yHC/vj/zv/BP+uf6C4rmsNPJltDBjWsdSdJ53kpDQH8+T9qNyc2VMQ6k8NvRbfo7Lj3x58DKAfsvPYWqkT9OyER/2DnZpOXn7FVce+7L9jAfvP4WQzSbieBzfpjjL/7rPM9+P8dwi8ats+Qr0+qMfVapW0yr/6VMnuXTpIvMWLsGpdBkyZbajiGNRHIsWU+eZOGU6zVq0wiFvPrLnyMHosRNQwsO5cP4sAJ4ej8mVx4FSTs44OZcmdx4HPD08gIieoWLFS1CgYKH431mRrCWbAOjs2bPs27dPI23t2rVkz54dGxsbunbtqu4FSQ5CgoO5c/sWzqXLqNP09PRwdi7D9WtXol3n+tWrODuX1kgrU7Yc169eBeD5s2f4+Hjj5Py1zNSpU1OocBF1mXny5uXK5UsEBgZy5vQprK2tsbCwYP++PRgbG1PVRbuLys8kJCSEg//bQSrz1OTIlSdBy82RKw+3rl8hKCiQS+fPkN7SmrTpLPjnz/0YGRt/N7hKLnQ5Nr+lKArnz53F09OD4iVKAhEToZ48foxs2ezp3qUzlcqXpnWLpurAHCCPQ15u37xJwLt33L51k6DAQLJmzcblS/9y9/YtWrVpG/87mwDO3/emYsGM5MqYBoCC2Swo7WDDX1efq/OoVLCsdznm7L3F3Wdv46VcI4OIy3FQSJh6HUWBoJBwSjvYAHDjiT9Fc1iSLpURjtnTY2Kkz+NX7yntYEOR7JYsOngnzvuf3Jw49g/58xdkzcoV1KhagQa/1WDW9CkEBgbGuE5g4GdCQ0NJkzYtALny5MHL05OXL1/w4sVznnh6kjN3bp4+9WLP7p307NM3sXYnUcgtMO0km/6+cePGUalSJX777TcAbty4QefOnenQoQP58uVj2rRpZMqUiTFjxiRtRb/wf+tPWFiY+ttvJEtLSzw8Hke7jo+PD5aWVlHy+/j6fFnuHZFmFbVMH5+IPA0aNubBvXs0rFcbi3QWTJ0xm4B371g4fy4rVq1j/pxZHDp4ALssWRk7YRK2trbxsr9J4fzp40weM5SgwEDSW1oxcdZi0qazSNByq//WAI9HD+jWpiFp0lrgOm4qH94HsG75QqbOW8GapfM5fuQQGTPb0d91LFbWya99dTk2IeI2VbXKFQgJCUZPT4/ho9woXaYsAH6+vnz69ImVK5bRu08/+g0YxOlTJxnQtzfLV62lRMlSlC1Xnjp169GqeROMTUwYP2kKpqamTBw/lvET3dm6eRObNq7DIp0Fo8aOJ1eu3AnaDrqa8b8bpDY15NLMBoSFK+jrqRi35TJbT3mo8wyoX5DQMCVWAcePyr3/4h1e3h8Y07IYfZed5WNgKL3r5MfOKhW2FqYAHLn2gi0nH3NsUh0Cg8PovvA0HwNDmfW7M90XnuL36g50r5kX3/dB9Fl6VuvgLDl79uwpV69cwsjYiBmz5/PW3x/3iWN5+/YtYydEPx5v7qwZWFvbqL9M5siRk959+9OzaycA+vQbQI4cOen+e0f69h/M2dOnWLJoAQYGBgwaOlwd+P+sVL/g7SxdJJsA6OrVq4wf/3Xw7ubNm3FycmLZsmUAZMmSBTc3tx8GQEFBQVF6ihR9Y4y/jFP42RkaGjJ8lJtG2qgRrrRq3Za7d27zzz9H2Lrzf6xeuZwpkyYwc868JKpp3BUpVpIFq7by7u1bDu3dgfvowcxeup50FpY/XlnHcg0MDOk1cLhG/pmTRlG/SSsePbjL2ZP/sHD1VrZtXM3i2VMYOXFmnOqSnKRKlYqtO3bz6dMnzp8/y4ypk7Gzy0LJUk6EKxG3eCpXrkrb9h0AyJsvH9euXmbbls2UKFkKgB69+tCj19cxUosXzsfZuTQGBgYsW7KI7bv3cuL4UUa6DmXztp2Jvo/aaFTanmblctBp3gnuPH1LYfv0TGlfkpd+n9l44hGO2dPTo1Z+yg3bG6/lhoYptJ5xlAXdy/J0ZUtCw8I5euMlh6880/g4c99+Dfft19TvhzUpwtEbLwkJUxjSqDDOg/5HzeJZWNqrHBVc90WtyE9GCQ9HpVIxcfJ0UqeOGBA+IHgYQwb0xXWkGyYmJhr5Vy1fyuGDB1i6cq3Gdb9JsxY0adZC/X7v/3aRKlUqChdxpGG9WqzftI3Xr1/hOmQA+w4dwcjIKHF2MAH8ir05ukg2t8D8/f01eiuOHz9OrVq11O9LlizJ06dPf1iOu7s7adOm1XhNmxL/T+1YpLNAX18/yqBSX19frKysol3HysoK3y+9PRr5v/QKWVlZR6T5aF/mhfPnePTwAS1ateHixQuUL18BMzMzqtesxb8XL+i0b8mFiakZmeyykq9gYfq7jkVf34DD+3YnarnXLl/giccj6jZuwfUrFylZujwmpmZUqFyd61f+jXNdEoIuxyZE3CbLmi0befPlo32HTrhUr8GKZUvVZRoYGJAjZ06NdbLnyMmrly+iKw6Px4/Yv3cPvfr05eLFCxQvUYL06dNTvUYt7ty+xcePH+K4pwljQusSzPzfDXac8eT207dsPvmY+QfuMLBBxBiRMvlssU5jwp0FTfDf2Bb/jW3JZmPOpLYluDmvsc7lAlz18KPs0L1k7rCR3N220sj9b9KbG+P5Jvq2ypMpDc3L5WDCliuUz2/L6Tuv8XkfxM6znhTNYYm5SbL5jqszK2trrG1s1cEPRBx3iqLw5vUrjbxrV69g1cplLFy6nDwODjGW6e/vz9JFCxjiOpKbN66TLZs9WbPZU7KUM6GhoTzx9Ihx3Z+BDILWTrIJgGxtbfH4MigtODiYy5cv4+zsrF7+/v17DA0Nf1iOq6sr796903gNHhrzU0G6MjQyIl/+Apw/d1adFh4ezvnzZylcpGi06xR2dOT8Oc3Hqs+dPUNhR0cAMtvZYWVlzfnzX8v88OEDN65fi7bMoKAg3CeMY9SYcejr6xMeHqZ+jDM0JJTw8LAo6/zMwsPDCQkOTrRyg4OCWDDTnT6DR0W0b1j41/YNC022PxCsy7EZnfDwcEJCgtVlFihYCM//fDA8eeJJxkyZo6yrKArjx7oxcMgwzFKlIjwsnJDItvvyb1hY8mw/M2N9whXNtPDwcPS+fD5sPvEY5yF7KDN0r/r1wu8Tc/bcouGkv3Qu91sBn0PweR9EzgypKZbTkv3/Rv/lb06X0gxfe5GPQaHo6+lhqB9xSTfUjyhUP7rCfzJFHIvh4/2GT5++Du728vRET08PG9sM6rTVK5ezfMki5i9aRv4C3x/QPGOqO63btsc2QwbCvrluAoSFhiXbc1tbMgZIO8nm60Ht2rUZNmwYU6ZMYffu3ZiZmVG+fHn18uvXr5PzP98+o2NsHPV2V2ACTe3Qtn1HRg0fSoECBSlYqDDr163h8+fPNGjYCIARrkOwsbGlb/+BALRu047OHdqyZvVKKlSoyKGDB7h18yajxowDImbvbN22HcuWLCJb1mxktrNjwbw5WNvYUKWqS5TtL128kHIVKpIvX34AHIsWY9b0adRv2IjNm9ZrPCWR3Hz+9IkXz73U71+/fM6jB3dJnTotadKmZfPa5TiVrUR6KysC3r5l787N+Pq8oXzlr4O8h/XtQpkKVajXuOUPy7TJkJHAz5+0KjfSxtVLKelcjlx5IuZ3yV/IkRULZ1G9dn327thM/kKOCdQ6cRfbY3PFsiXkL1CQLFmyEhwczMmTx9m/dw8jRo1Rl9m+Y2eGDOxP8eIlKVnKidOnTnLi2FGWr1obZfs7t2/DwiI9lSpHzEnjWLQYixfO4/q1q5w6eYIcOXORJk2ahG8IHRy89IzBDQvxzOcDd569pYi9Jb3rFGDd0YgnBf0+BOH3QfM2e0hoOK/ffebBywB12t6R1dl70Yulh+9qVS5EzOPjExDIM5+PFMhqwZT2pdh38Sn/XI/ay9ahSm58AgI5eDniSbtz997g2rQIJXNbUc0xM3eevuXdp5B4b5+4+vTpI0+9vp6nz58/497dO6RJm5aMGTMxb/YM3rx5w/hJUwCoVec3li9ZxJiRw+neqw/+/v7MnjmV+g0bq29/rV6xjEUL5jJpynQyZc6sHk9pZmaGmVkqje2fO3MaryeejJs4GYACBQrh6fGY0ydP8OrVS/T19cj2zSP2P6NfMZjRRbIJgMaPH0+jRo2oWLEi5ubmrFmzRuMe7MqVK6levXoS1jCqmrVq4+/nx8L5c/Hx8cYhbz4WLlmO5ZfbDK9evkRP9bWTzbFoMdynTmf+3NnMmz2TrNnsmT1vAblzf32yqWPnLnz+/JlxY0bz/n0ARYsVZ+GS5VGCugcP7vPnoYNs2bFbnVatek3+vXCBju1ak80+O5OnzkjYBoiDB3dvMfSP39Xvl86bDoBLrXr0GTSSp088+PvgHt69e0uaNOnIk68A0xasIluOXOp1Xj5/RsDbt1qVOXDEePT09LUqF8Dz8QNOHv2TBau2qNPKVa7G9Sv/MqhXR+yyZmOo2+R4bZP4FNtj8/OnT0waP5bXr19hbGxC9hw5mDh5GjVr1VbnqepSjZFuY1i5bClT3Cdgb5+dGbPnUqx4CY1t+/r4sHzpYtZs2KROK1S4MG3bd6R3j26kt0zP+IlTErgFdDdo1XlGNi/KzM7OWKc14aXfZ1b+fZ/J34y70UZ229TqOXq0LTdDOlPc25bEJp0Jr/w/s+nEI6bsiDqBpXVaEwY1LIzL6APqtEuPfJi37xbbh1bFOyCQbgtO67D3Ce/2rZt07dRe/X7mtIjzqG69BoydOBkfb2+N26pmZqlYuHQlU90n0KZFE9KmTUe1GjXp2aefOs+2rZsICQlh8ADNp7m69uhF955fx6QFBgYyxX08k6fNQk8v4vi3zZCBIa4jGTNqOIZGRoydODnKuKKfjQyC1o5KiZzlLZl49+4d5ubm6Ovra6T7+flhbm6u08C0hOoB+lW98I/58VMRe5ksfu6LbXJi3XpNUlchRXm1rl1SVyHFSGWUeEHJkbs+P84Ujap5Yx4jmBIlmx6gSGm/zNvwX+nTp0/kmgghhBA/H+kB0k6yC4CEEEIIoTsZA6QdCYCEEEKIFER6gLSTbB6DF0IIIYRILNIDJIQQQqQgKWD6p0QhAZAQQgiRgsgtMO1IACSEEEKkIDIIWjsSAAkhhBApiMQ/2pEASAghhEhB9KQLSCsSAAkhhBApiIQ/2pEASAghhEhJJALSigRAQgghRAoiT4FpRwIgIYQQIgWRIUDakQBICCGESEEk/tGOBEBCCCFESiIRkFbkt8CEEEII8cuRHiAhhBAiBZFB0NqRAEgIIYRIQWQQtHbkFpgQQgiRgqh0fMXWggULsLe3x8TEBCcnJy5cuBBj3mXLllG+fHksLCywsLDAxcXlu/kTgwRAQgghREqSCBHQli1bGDBgAG5ubly+fJkiRYpQo0YN3rx5E23+Y8eO0bJlS44ePcrZs2fJkiUL1atX5/nz57rtYzxQKYqiJNnWE0lgaFLXIGV54R+Y1FVIUTJZmCR1FVIM69ZrkroKKcqrde2SugopRiqjxLsvdeXJe53WK5ottdZ5nZycKFmyJPPnzwcgPDycLFmy0KdPH4YNG/bD9cPCwrCwsGD+/Pm0a5c0x5n0AAkhhBApiEql20tbwcHBXLp0CRcXF3Wanp4eLi4unD17VqsyPn36REhICOnTp4/t7sUbGQQthBBCpCC69jUFBQURFBSkkWZsbIyxsbFGmo+PD2FhYdja2mqk29racvfuXa22NXToUDJlyqQRRCW2XyIASvk3+RKXTRrjH2cSIgl4b2if1FVIUSzKDErqKqQYny9MT7yN6RgBubu7M3bsWI00Nzc3xowZE/c6fWPy5Mls3ryZY8eOYWKSdEMAfokASAghhPhV6DoPkKurKwMGDNBI+2/vD4CVlRX6+vq8fv1aI/3169dkyJDhu9uYPn06kydP5u+//6Zw4cI61TO+yBggIYQQIgXRdQyQsbExadKk0XhFFwAZGRlRvHhxjhw5ok4LDw/nyJEjlC5dOsZ6TZ06lfHjx3Po0CFKlCiRIPseG9IDJIQQQqQgifG82YABA2jfvj0lSpSgVKlSzJ49m48fP9KxY0cA2rVrR+bMmXF3dwdgypQpjB49mo0bN2Jvb8+rV68AMDc3x9zcPBFqHJUEQEIIIYSIlebNm+Pt7c3o0aN59eoVjo6OHDp0SD0w2svLCz29rzeZFi1aRHBwME2aNNEoJyHGGGnrl5gH6HNIUtcgZQkLT/GHTKIy0Jd560XyJIOg409iDoK++fyDTusVzJw0PTFJRXqAhBBCiBREfgxVOxIACSGEECmI/BiqdiQAEkIIIVIQiX+0IwGQEEIIkZJIBKQVCYCEEEKIFETGAGlHAiAhhBAiBZExQNqRAEgIIYRIQST+0Y4EQEIIIURKIhGQViQAEkIIIVIQGQOkHQmAhBBCiBRExgBpRwIgIYQQIgWR+Ec7ej/OIoQQQgiRskgPkBBCCJGSSBeQViQAEkIIIVIQGQStHQmAhBBCiBREBkFrRwIgIYQQIgWR+Ec7Mgg6jjZv2kCt6lUoVawQbVo25caN61qtd+jAfhwLOtDvj54a6Uf++pPuXTpRsawTjgUduHv3TpR1p091p0KZUtSoWpH9+/ZoLPvz8EH+6NVd9x1KIiuXL6FtyyaUdy6GS8UyDOjbC0+Pxz9c768/D9GoXi1KlyhMs0Z1OXXyuMZyRVFYtGAu1auUp0zJIvTo0hGvJ57q5cHBwYwaPoQKpYvTsG4Nzp87o7H+2lUrmOo+Pl72MbFt3riBWtWqULJoIVq3aMqN6zEfm3//9SctmzWinHMJnEo40qxRffbu2a2RZ9TwYRQp4KDx6tG1s3p5cHAww4cNpkypYtStXYNzZzXbcvXK5bhP/DnbEmLXng8fPmBA3z7UqlaFIgUcWL929XfLXrFsKUUKODDVfaJG+rQp7pQvXYrqMZzrfXom/3Pd3MyYaf3rce9/I/A74c7R5b0pni+LevnnC9OjffVvUynGMssWzcH2GZ14vH8Uny9Mp27FAtHmG9W1Bo8PjMbvhDv753clZxYr9TIjQ31WjGnJ638mcH37UCqXzK2xbv82lZg5qEGc9j3JqHR8/WIkAIqDwwcPMGOqO9169GLTtl3kcchLz26d8fP1/e56z58/Y+aMKRQrXiLKss+fP1G0WDH69h8U7brHj/3Dwf37WLR0Bf0GDmac20j8/f0AeP/+PfPnzsZ15Oi471wiu/zvRZq2aMXq9VtYuHQloaGh9Or+O58/fYpxnWtXLzNi6EAaNGzCxq27qFTFhYF9e/PwwX11njWrlrN54zqGjxrDmg1bMTU1pXf33wkKCgJg5/Yt3Ll9i1XrNtOwcTNGDB2EoigAPH/2jF07t9KzT/+E3fkEcOjgAaZPdadbz15s3rYLB4e89OjWGd8Yjs20adPye9cerN2whe0791C/YSPcRg7n9KmTGvnKlivPkWOn1K8p02aql23ftoU7t27x//buPa6n+w/g+Kvrt5tLKhKJldzTMCVTWC1iZjO32YS2NXPbbD+WIeXazP0WNjJzSWzNbYy5DDN3M+Qn5DeEksRCqe/5/RHf+e5bVNK3y/vpcR5bn/M557zPx/n0fX/P53OOb1dG81b3Hnw+4lNNW16+fIl1a2MYMqz0tSUUvD3v37tHTceaDP3kU2xt7Z6475N/nmBtzGpcXetple/amdPXIxd/wyfD/0PYWO2+PmfWTEaVgr6+4IvutPdwZcC4VbR4+yu2HzjLpnkf4GBXEYDaHcO0lg/Co1Gr1fywI+8E09LMlD/jE/l46g951vm0bzs+6vkyQ6esw3vAbNLvZbJh9vuoTHMGPoLe8OTF+jVp+94clvzwO1Hj+2i2dXKoQv+uHoQu+KmIWqF4GRTyT3lTYhKgkydP6juEAlv+7VLefKsHXd/ohrOzC6PHhmFmZkbsD+vy3CY7O5tRIz9j4EdDqFHTUWd95y5dCR44GI9WrXLd/sKF87R4qSWNGjehY0BnLC2tuHL5MgAzp0+le8/eVK/uUDQnWIzmRn5Nl9ffxNmlLq716hM2fjLXriYSd/pUntusWrGcVq1fpm//IOq84MxHg4dRv0FD1qxeAeTc/Vn53bcEvf8hbdu9Ql3XeoRNjCA5OYldO7YDkHDhAt5t2+PsUpcevfqQmnqTW6mpAEyeMI4hH3+GlZXV82+AIrZ82WPXposLo0MfXpvf535tvtTSg1d8/XjB2RnHWrXo824gdV3rcezoEa16pqam2NrZaZaKlSpp1iWcP49Pu/a4uNSlZ+8+pN68SerDtpwYPo6Ph5fOtoSCt2fjJm4M/2wkHQM6YWpqmud+76anEzLyP4SGTdBqS4CEC+dp0fJhX+/UGUurf/r6jGlT6dGzN9UdSnZfN1MZ07VdE76Ys4l9xy5w4XIKExf/zPlLKbzfzQuA6yl3tJbXfBqx+8h5LibezHO/P+8/Q1jkFtbvyvtzY1CvNkQs2c7GX09x8txV3hu3muq2Feni0xiAerWrsWnPKeIuXCdy7T6qVrHCtrIlALNHvsnouZu4k55RhK1RfAwMCreUNyUmAXJzc8PDw4PFixdz584dfYfzVA8eZBJ3+hQenl6aMkNDQzw8vTjxx7E8t1u4YB5VqtjwRrfuhTpuvXr1OX3qJLfT0jh96iQZGfepVcuJY0cPE3f6FG/3ebdQ+y1p/v475xr494fC4078cRwPDy+tslZerTnxx3Eg505byo1krb+jChUq0LiJm6aOa716HD92hPv377P/t73Y2tlR2dqazZs2YKpS0f4Vv6I9sWLwIDPn2vRspX1tej7l2nxEURQO/L6fixcTaN7iJa11hw8dpG2bVnTp5M+E8FBu3UrVrHOtX59jR3Pa8rd9e7Gzs8Pa2ppNG9ejUql4xbf0tSU8e3s+yaQJ4Xh7+2jt+xHXevU5ffKxvn4/p68fPXKYM6dP8fY7Jb+vGxsZYWxsxP3MB1rl9zMe4NW0jk79qlWs6NC6AcvWH3ym49Z2qEJ124rsOBivKbudfp9Dp/7Co4kTAH/GJ+LVtA5mKmP8POtxNTmNG7fS6eX/IhmZWU9Mrko6GQHLnxIzCXr37t0sXbqUTz/9lE8++YRu3brx3nvv0aZNG32HlqvU1FSys7OxsbHRKrexsclz7sqxo4eJ/WEt0WtjC31cr9ZtCOjchT693kJlZsb4iRGYW5gzcXwY4RMmExO9ilUrl1O5sjVjxo3HxaXu03dawqjVar76chJNX2yGS13XPOul3LhBlX+1fxUbW1Ju3Hi4PvlhWS51UnLqdOnajfizZ+netROVra2ZMnUmt2+nETlvNouWfMv8OTPZumUzNR0dCQ2bRNVq1YryVJ+L1Ft5X5sJT5hXdefOHfzaefPgQSaGhoaMGhNKK6/WmvVeL7fhFV8/atSsyaVLl5gzczofBb/P8pXRGBkZ0fWNbsT/97+80SUA68rWfDltJrfT0pg/dzbfLF3O3Fkz2PLTZmo61iJswiSqlYK2hMK359P8tHkTcXGnWRm9Ntf1rV9uQ6fXuvB2z4d9fVIE5uY5fX38xMmsWZ3T160rWzMmrGT29b/vZvD7iYuEDPDjvwlJXL95hx6vvohHEyfOX76hU/+dTi24k55B7M4/n+m49jYVAEi6qf1lOunm31R7uG7Z+oM0dqnOsegRpNxK551Ry7GuaM6YYH/8P1xA6Icd6O7nzoUrKXw4PprE5NvPFFNxKo93cwqjxCRAbdq0oU2bNsyZM4c1a9YQFRWFj48PLi4uBAUFERgYiL29/VP3k5GRoZnf8YjaUIVKpXpeoedLevrffBEygrHjxmNtXeWZ9jVw0BAGDhqi+Tly/lw8PFthbGzM4oULiPlhA7/u3smYUSNZteb7Zw292E2ZGM75c/F8E7XyuR/LxMSEz7/QnkcxbkwIvd5+l//GxbFrxy+sjoll2dKvmTplAlNnzHnuMemLpaUla9bFcvfuXQ4c2M+0L6dQs6YjL7X0AKBjQCdN3bqu9XB1rUenDr4cPnQQD89WmJiYMGpMqNY+x3wRwtt93uVM3Gl27PiFNd//SNSSr4mYNIHps8puWz7NtatX+XLKRBYuXvLE30259XXPx/r62ticvj46ZCSrY0pmXx8QuoqFY3pwYfNYsrKyOf7fK6z5+Rgv1q+pU7fvay2J3nqUjMys5x5XVraaT6b+wCePzSNaOKYn86P30rReDV7zaUzLPtMZ/m5bpn3ald6ff/vcYyo6kgHlR4kZAnvE0tKS/v37s3v3bs6ePUv37t2ZN28etWrVokuXLk/dfvLkyVSqVElrmRoxucjjtLa2xsjISGcSZEpKCra2tjr1L126ROKVKwwbPJDmTRvSvGlDNq6PZffOHTRv2pBLf/1VqDgSLpxn08b1DBoyjMOHDtKsRQuqVKmCv39H4k6fIj3970LtV18iJoWz99ddLPz6W6o9JeG1sbXVmXB+M+UGNg/b3+bh5NNc69jo/h0BHDr4OxfOn6Nn7z4cOXyA1m28MbewwM+/I0cOP9tt+eJiXblg1+YjhoaG1HJyon6DBgT2G4Dvq/58s3hRnvVrOjpibW3NX3/9L9f1Bw/8zvlz8fR6+x0OHTpImzbeWFhY8GqHjhw+VDraEgrfnk9y+vQpbqak0Kv7mzRza0gzt4YcPnSQlSuW08ytIdnZ2TrbJFw4z6YNOX390KGDNH/Y118t4X094UoKr364ABvvUdR9bQJt+s/GxNiIhCvac3xau9ehXu2qLP3xwDMf81pKzp2fqlUqaJVXrWLF9ZTcp1h4N3em4QvVWBCzD+/mzmz9LY679zNZ98sftGnu/MwxFSeZA5Q/JS4BepyLiwujRo1i9OjRVKhQgU2bNj11m5CQENLS0rSW/4wMKfLYTExMadCwEQcP7NeUqdVqDh7Yj1vTF3Xq16nzAmt/2ED02ljN4tOuPS+19CB6bSz21Z9+d+vfFEVhQngon434HAsLS7LVarIe5HxzepCV89/sbHUhz7B4KYpCxKRwdu7YTuTXUdSoqfvt8N/cmrprtT/Agd9/w62pOwA1atTExtZOq87ff//NyT9PaOo8LiMjg4hJ4xk1JgwjIyOys9VkPWzHrKwsstWloy1NTHOuzQO/a1+bB/K4NvOiVqt58CAzz/XXr13j1q1b2OXylFNGRgaTJ4QzZlw4RkZGqNXZ/7TlgyzUat0P+JKqqNrzcR6enqyN3UD0uljN0qhRYwI6v0b0uliMjIy06iuKwviwUD4d8TkWlpaos9WaPp5VSvr63fuZXEu5Q+UK5vh61mPjr9pzbAK7tORI3CX+jL/6zMe6mHiTqzduaz3aXsFSxUuNanHgT92EXWVqzMz/vMngyWtRqxWMDA0xMc75OzAxMsLIsER/VIpCKjFDYP/266+/smTJEtatW4ehoSE9evQgKCjoqdupVLrDXfce5FH5Gb3btz9jvhhJw0aNadzYjRXfLePevXu83vVNAEaHjKBq1WoM/eRTVCqVznyWChVyHgN9vDwt7RZXr14lOSkJgP8lJABga2ur8zjt9+tisLaugk/b9gC4v9iMhfPncOKP4+zd8ysvOLtQsWLF53PyRWzKxHC2/LSR6bPmYWFpyY2H83esrCpgZmYGwNhRI7GrVpUhwz4FoHefd3l/QF+WL1vCy95t+fmnTZw+dYovxoYDYGBgwNvv9OWbRZHUqlUbhxo1WDBvNnZ2VWnb3lcnhq8Xzqf1y97Ub9AQgKYvNmPW9Kl06fom0atW0NS9WXE0RZF4N7A/Y0aNpFGjxjRu4sZ3y3Ouza5v5FybXzy8Nod9ktOW3yxeSMNGjXF0rEVmZiZ79uxm04b1fDFmHJDztFLkgrn4+vljY2vL5UuXmDFtKo61nPB6WXee3qLI+bzs7UODh23p/mIzZnw1ldffeJPVq77D/cXS05ZQ8PZ8kJnJ+fPnc/7/QSZJSdc5ExeHhYUFtZycsLS0ou6/fh+YW1hQuVJlnXKA79fm9PW27f7p65GlpK/7erpigAFn/0rGuaYNk4Z25uzFJL7dcEhTp4Klijdfacrnszbkuo/N84JZv+skkTH7ALA0N8W55j9332o7VMGtrgOpt+9y6fotAOat3sPIAa9w7lIyFxNvEvphB67euM363bqTm0OCfNn6Wxx/nE0EYP+Ji0wa0plvNxziwx6t2f/HxSJqjeJRDm/mFEqJSoASExOJiooiKiqKc+fO4eXlxezZs+nRoweWlpb6Dk+Hf8cAUlNvsmDubG7cSKZe/QbMj/xaMwRz9epVDAr4zWHXzh2Ejv7njtXI/+S8NyV44GCtuQApN27w9aJIln23SlPWpIkb7wb2Z8hHwVSpUoXwSRHPcnrFau2anPP4YEBfrfLQ8ZPo8nrOh8y1a4kYGP7TtZu6N2PilK9YMGcm82bPoFat2kybNVcroQzs/x737t1jYvhY7ty5jfuLzZmzYLFOknwu/izbft7CqjX/zAfw9fPnyKGDBPXrQ+3adZg45asiP+/npUPHAFJv3mT+49fmwn+uzWtXr2Jo8M+1ee/uXSaND+P69WuoVGbUeeEFJk6ZSoeOAQAYGhlx9r9nWf9jLHdu36Fq1aq08mrNoCHDdB7zjo8/y89bfiJ6XaymzO/VDhw+eJD+ffvgVLsOU76c9vwboQgVtD2TkpPo+VZXzc/Lli5h2dIltHipJd9ELS/QsTV9fcVjfd0tp68PHhhMFZsqjJ9Ycvt6JStzwj/qSI2qlbl5+y4/7viT0AU/kfXYHavufu4YGMCarbk/VfdCDRtsKv/zGdCsgSM/Rw7U/PzlJ68DsHzjIT4IjwZg2rc7sTAzZe6ot6hsZc5vfyTQZdhinflFDV+wp9srTfF4Z4am7PtfTtCmmTPbF31E/P+SCRyz4tkbohiVx+GswjBQHr2pTM86duzI9u3bsbW1pW/fvgwYMIB69eo9fcN8eF53gMqrbHWJuGTKDGMj+W0lSiZrr9xfyCoK7t7B4vsCdS2tcB969pVMijiSkq3E3AEyMTFh7dq1dO7cWWf8WwghhBD5JN+p8qXEJEDr169/eiUhhBBCPJHkP/lTYhIgIYQQQjw7mQOUP5IACSGEEGVIefyHTQtDEiAhhBCiLJH8J18kARJCCCHKEMl/8kcSICGEEKIMkTlA+SMJkBBCCFGGyByg/JF/4EQIIYQQ5Y7cARJCCCHKEBkCyx+5AySEEEKIckfuAAkhhBBliNwByh9JgIQQQogyRCZB548kQEIIIUQZIneA8kcSICGEEKIMkfwnfyQBEkIIIcoSyYDyRRIgIYQQogyROUD5IwmQEEIIUYbIHKD8kfcACSGEEGWIQSGXgpo3bx61a9fGzMwMDw8PDh48+MT6MTEx1K9fHzMzM5o0acLmzZsLcdSiIwmQEEIIUZYUQwYUHR3N8OHDCQ0N5ejRozRt2hR/f3+SkpJyrf/bb7/Ru3dvgoKCOHbsGF27dqVr166cPHmycOdYBAwURVH0dvRicu+BviMoW7LVZf6SKVbGRnK/WpRM1l6f6TuEMuPewa+K7Vh3HxTud7SFSf5/F3l4ePDSSy8xd+5cANRqNY6OjgwZMoTPP/9cp37Pnj1JT09n48aNmjJPT0/c3d2JjIwsVLzPSu4ACSGEEGWIQSH/5FdmZiZHjhzB19dXU2ZoaIivry/79+/PdZv9+/dr1Qfw9/fPs35xkEnQQgghRBlS2EnQGRkZZGRkaJWpVCpUKpVW2Y0bN8jOzqZatWpa5dWqVePMmTO57vvatWu51r927Vrhgi0C5SIBMjfRdwRPl5GRweTJkwkJCdG52Eqekj9kU7ras2STtixapak9i3PYprBKU3sWF7NCfrKPmzCZsLAwrbLQ0FDGjRv37EGVQDIEVkJkZGQQFhamk32LwpH2LDrSlkVL2rNoSXsWnZCQENLS0rSWkJAQnXq2trYYGRlx/fp1rfLr169jb2+f677t7e0LVL84SAIkhBBCCFQqFRUrVtRacrurZmpqSvPmzfnll180ZWq1ml9++YVWrVrluu9WrVpp1QfYtm1bnvWLQ7kYAhNCCCFE0Rk+fDiBgYG0aNGCli1bMnPmTNLT0+nfvz8Affv2pUaNGkyePBmAYcOG4ePjw7Rp0+jUqROrV6/m8OHDLFq0SG/nIAmQEEIIIQqkZ8+eJCcnM3bsWK5du4a7uztbtmzRTHT+66+/MDT8Z5DJy8uLlStXMnr0aEaNGkXdunWJjY2lcePG+joFSYBKCpVKRWhoqEziKyLSnkVH2rJoSXsWLWlP/Rk8eDCDBw/Odd2uXbt0yrp370737t2fc1T5Vy5ehCiEEEII8TiZBC2EEEKIckcSICGEEEKUO5IACSGEEKLckQRIz/r164eBgYHOcu7cOX2HVuo8asspU6ZolcfGxmJQ2HfDC1GEkpOTGThwILVq1UKlUmFvb4+/vz/79u3Td2ilxmuvvUaHDh1yXbdnzx4MDAw4ceJEMUclSiNJgEqADh06cPXqVa2lTp06+g6rVDIzMyMiIoLU1FR9h1ImXLp0iQEDBuDg4ICpqSlOTk4MGzaMlJQUfYdWKnXr1o1jx46xbNkyzp49y/r162nbtq20ZwEEBQWxbds2Ll++rLNu6dKltGjRAjc3Nz1EJkobSYBKgEffBB9fjIyM9B1WqeTr64u9vb3m5Vui8C5cuECLFi2Ij49n1apVnDt3jsjISM3bXm/evKnvEEuVW7dusWfPHiIiImjXrh1OTk60bNmSkJAQunTpou/wSo3OnTtjZ2dHVFSUVvnff/9NTEwMQUFB+glMlDqSAIkyxcjIiEmTJjFnzpxcvyGK/Bs0aBCmpqb8/PPP+Pj4UKtWLTp27Mj27du5cuUKX3zxhb5DLFWsrKywsrIiNjZW/t2qZ2BsbEzfvn2Jiori8be4xMTEkJ2dTe/evfUYnShNJAEqATZu3Kj55WhlZVWiXhRVGr3xxhu4u7sTGhqq71BKrZs3b7J161Y++ugjzM3NtdbZ29vTp08foqOjkdeI5Z+xsTFRUVEsW7aMypUr07p1a0aNGiXzVQphwIABnD9/nt27d2vKli5dSrdu3ahUqZIeIxOliSRAJUC7du04fvy4Zpk9e7a+Qyr1IiIiWLZsGXFxcfoOpVSKj49HURQaNGiQ6/oGDRqQmppKcnJyMUdWunXr1o3ExETWr19Phw4d2LVrF82aNdMZzhFPVr9+fby8vFiyZAkA586dY8+ePTL8JQpEEqASwNLSEhcXF81SvXp1fYdU6nl7e+Pv709ISIi+QynVnnaHx9TUtJgiKTvMzMzw8/NjzJgx/Pbbb/Tr10/uVhZCUFAQ69at486dOyxduhRnZ2d8fHz0HZYoRSQBEmXWlClT2LBhA/v379d3KKWOi4sLBgYGed5Bi4uLw87OjsqVKxdvYGVQw4YNSU9P13cYpU6PHj0wNDRk5cqVfPvttwwYMEBedyEKRBIgUWY1adKEPn36yJBiIdjY2ODn58f8+fO5d++e1rpr166xYsUK+vXrp5/gSqmUlBTat2/Pd999x4kTJ0hISCAmJoYvv/yS119/Xd/hlTpWVlb07NmTkJAQrl69KtejKDBJgESZFh4ejlqt1ncYpdLcuXPJyMjA39+fX3/9lUuXLrFlyxb8/PxwdXVl7Nix+g6xVLGyssLDw4MZM2bg7e1N48aNGTNmDO+//z5z587Vd3ilUlBQEKmpqfj7++Pg4KDvcEQpI/8avBAiTxcvXmTcuHFs2bKFpKQkFEXhzTffZPny5VhYWOg7PCGEKDRJgIQQ+RYaGsr06dPZtm0bnp6e+g5HCCEKTRIgIUSBLF26lLS0NIYOHYqhoYyiCyFKJ0mAhBBCCFHuyNc3IYQQQpQ7kgAJIYQQotyRBEgIIYQQ5Y4kQEIIIYQodyQBEkIIIUS5IwmQEKVI7dq1tV75v2vXLgwMDNi1a5feYvq3f8dYHNq2bUvjxo2LdJ/6OA8hRPGRBEiIfIqKisLAwECzmJmZ4erqyuDBg7l+/bq+wyuQzZs3M27cOL3GYGBgwODBg/UagxCi/DLWdwBClDbh4eHUqVOH+/fvs3fvXhYsWMDmzZs5efJksf/zEN7e3ty7dw9TU9MCbbd582bmzZun9yRICCH0RRIgIQqoY8eOtGjRAoD33nsPGxsbpk+fzo8//kjv3r1z3SY9PR1LS8sij8XQ0BAzM7Mi368QQpR1MgQmxDNq3749AAkJCQD069cPKysrzp8/T0BAABUqVKBPnz4AqNVqZs6cSaNGjTAzM6NatWoEBweTmpqqtU9FUZgwYQI1a9bEwsKCdu3acerUKZ1j5zUH6MCBAwQEBGBtbY2lpSVubm7MmjVLE9+8efMAtIb0HinqGJ/Fjz/+SKdOnXBwcEClUuHs7Mz48ePJzs7Otf6RI0fw8vLC3NycOnXqEBkZqVMnIyOD0NBQXFxcUKlUODo6MmLECDIyMoo0diFEySZ3gIR4RufPnwfAxsZGU5aVlYW/vz8vv/wyX331lWZoLDg4mKioKPr378/QoUNJSEhg7ty5HDt2jH379mFiYgLA2LFjmTBhAgEBAQQEBHD06FFeffVVMjMznxrPtm3b6Ny5M9WrV2fYsGHY29sTFxfHxo0bGTZsGMHBwSQmJrJt2zaWL1+us31xxJhfUVFRWFlZMXz4cKysrNixYwdjx47l9u3bTJ06VatuamoqAQEB9OjRg969e7NmzRoGDhyIqakpAwYMAHKSuy5durB3714++OADGjRowJ9//smMGTM4e/YssbGxRRa7EKKEU4QQ+bJ06VIFULZv364kJycrly5dUlavXq3Y2Ngo5ubmyuXLlxVFUZTAwEAFUD7//HOt7ffs2aMAyooVK7TKt2zZolWelJSkmJqaKp06dVLUarWm3qhRoxRACQwM1JTt3LlTAZSdO3cqiqIoWVlZSp06dRQnJyclNTVV6ziP72vQoEFKbt3/ecSYF0AZNGjQE+vcvXtXpyw4OFixsLBQ7t+/rynz8fFRAGXatGmasoyMDMXd3V2pWrWqkpmZqSiKoixfvlwxNDRU9uzZo7XPyMhIBVD27dunKXNycsrXeQghSicZAhOigHx9fbGzs8PR0ZFevXphZWXFDz/8QI0aNbTqDRw4UOvnmJgYKlWqhJ+fHzdu3NAszZs3x8rKip07dwKwfft2MjMzGTJkiNbQ1Mcff/zU2I4dO0ZCQgIff/wxlStX1lr3+L7yUhwxFoS5ubnm/+/cucONGzdo06YNd+/e5cyZM1p1jY2NCQ4O1vxsampKcHAwSUlJHDlyRHN+DRo0oH79+lrn92gY89H5CSHKPhkCE6KA5s2bh6urK8bGxlSrVo169ephaKj9XcLY2JiaNWtqlcXHx5OWlkbVqlVz3W9SUhIA//vf/wCoW7eu1no7Ozusra2fGNuj4bjCvhOnOGIsiFOnTjF69Gh27NjB7du3tdalpaVp/ezg4KAz0dzV1RWAixcv4unpSXx8PHFxcdjZ2eV6vEfnJ4Qo+yQBEqKAWrZsqXkKLC8qlUonKVKr1VStWpUVK1bkuk1eH8rFqSTFeOvWLXx8fKhYsSLh4eE4OztjZmbG0aNHGTlyJGq1usD7VKvVNGnShOnTp+e63tHR8VnDFkKUEpIACVFMnJ2d2b59O61bt9Ya2vk3JycnIOduzAsvvKApT05O1nkSK7djAJw8eRJfX9886+U1HFYcMebXrl27SElJ4fvvv8fb21tT/uhpu39LTEzUed3A2bNngZy3OkPO+f3xxx+88sor+RoSFEKUXTIHSIhi0qNHD7Kzsxk/frzOuqysLG7dugXkzDEyMTFhzpw5KIqiqTNz5synHqNZs2bUqVOHmTNnavb3yOP7epQk/LtOccSYX0ZGRjpxZ2ZmMn/+/FzrZ2VlsXDhQq26CxcuxM7OjubNmwM553flyhUWL16ss/29e/dIT08vsviFECWb3AESopj4+PgQHBzM5MmTOX78OK+++iomJibEx8cTExPDrFmzeOutt7Czs+Ozzz5j8uTJdO7cmYCAAI4dO8ZPP/2Era3tE49haGjIggULeO2113B3d6d///5Ur16dM2fOcOrUKbZu3QqgSQiGDh2Kv78/RkZG9OrVq1hifNzhw4eZMGGCTnnbtm3x8vLC2tqawMBAhg4dioGBAcuXL9dKiB7n4OBAREQEFy9exNXVlejoaI4fP86iRYs0j+6/++67rFmzhg8//JCdO3fSunVrsrOzOXPmDGvWrGHr1q1PHd4UQpQRen0GTYhS5NFj8IcOHXpivcDAQMXS0jLP9YsWLVKaN2+umJubKxUqVFCaNGmijBgxQklMTNTUyc7OVsLCwpTq1asr5ubmStu2bZWTJ0/qPJr978fgH9m7d6/i5+enVKhQQbG0tFTc3NyUOXPmaNZnZWUpQ4YMUezs7BQDAwOdR+KLMsa8AHku48ePVxRFUfbt26d4enoq5ubmioODgzJixAhl69atOufs4+OjNGrUSDl8+LDSqlUrxczMTHFyclLmzp2rc9zMzEwlIiJCadSokaJSqRRra2ulefPmSlhYmJKWlqapJ4/BC1G2GShKHl+nhBBCCCHKKJkDJIQQQohyRxIgIYQQQpQ7kgAJIYQQotyRBEgIIYQQ5Y4kQEIIIYQodyQBEkIIIUS5IwmQEEIIIcodSYCEEEIIUe5IAiSEEEKIckcSICGEEEKUO5IACSGEEKLckQRICCGEEOWOJEBCCCGEKHf+DyM3r9cQGfeEAAAAAElFTkSuQmCC\n"},"metadata":{}}],"execution_count":9},{"cell_type":"code","source":"print(\"\\nVisualizing sample predictions...\")\nnum_samples = min(9, len(X_test))\nrandom_indices = np.random.choice(len(X_test), num_samples, replace=False)\n\nfig, axes = plt.subplots(3, 3, figsize=(10, 8))\naxes = axes.ravel()\n\nfor i, idx in enumerate(random_indices):\n true_label = label_names[y_true[idx]]\n pred_label = label_names[y_pred[idx]]\n confidence = y_pred_probs[idx][y_pred[idx]] * 100\n\n axes[i].plot(X_test[idx, :, 0])\n\n color = 'green' if true_label == pred_label else 'red'\n axes[i].set_title(f'True: {true_label} | Pred: {pred_label} ({confidence:.1f}%)',\n color=color, fontsize=10, fontweight='bold')\n axes[i].set_xlabel('Sample')\n axes[i].set_ylabel('Amplitude')\n axes[i].grid(alpha=0.3)\n\nplt.tight_layout()\nplt.savefig('sample_predictions.png', dpi=150, bbox_inches='tight')\nprint(\"Sample predictions saved to: sample_predictions.png\")\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-16T05:15:09.756461Z","iopub.execute_input":"2025-10-16T05:15:09.757357Z","iopub.status.idle":"2025-10-16T05:15:12.068414Z","shell.execute_reply.started":"2025-10-16T05:15:09.757323Z","shell.execute_reply":"2025-10-16T05:15:12.067502Z"}},"outputs":[{"name":"stdout","text":"\nVisualizing sample predictions...\nSample predictions saved to: sample_predictions.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}],"execution_count":10},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]} \ No newline at end of file +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":13457031,"sourceType":"datasetVersion","datasetId":8542062}],"dockerImageVersionId":31154,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import (classification_report, confusion_matrix,\n accuracy_score, precision_recall_fscore_support)\nimport tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow.keras import layers, models, callbacks\nfrom tensorflow.keras.utils import plot_model\n\n# Set random seeds for reproducibility\nnp.random.seed(42)\ntf.random.set_seed(42)","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2025-10-21T17:37:44.526132Z","iopub.execute_input":"2025-10-21T17:37:44.526303Z","iopub.status.idle":"2025-10-21T17:38:00.962782Z","shell.execute_reply.started":"2025-10-21T17:37:44.526286Z","shell.execute_reply":"2025-10-21T17:38:00.962190Z"}},"outputs":[{"name":"stderr","text":"2025-10-21 17:37:49.128593: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\nWARNING: All log messages before absl::InitializeLog() is called are written to STDERR\nE0000 00:00:1761068269.369935 37 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\nE0000 00:00:1761068269.441141 37 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"}],"execution_count":1},{"cell_type":"code","source":"import numpy as np\n\n# Change the path to point to the Kaggle input directory.\nKAGGLE_DATA_PATH = '/kaggle/input/ecg-data1/ecg_mitdb_processed.npz'\n\nprint(\"Loading preprocessed data from Kaggle Input...\")\ndata = np.load(KAGGLE_DATA_PATH)\nX = data['X']\ny = data['y']\nlabel_names = data['label_names']\n\nprint(f\"Data shape: X={X.shape}, y={y.shape}\")\nprint(f\"Classes: {label_names}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T17:38:13.505424Z","iopub.execute_input":"2025-10-21T17:38:13.505953Z","iopub.status.idle":"2025-10-21T17:38:15.747418Z","shell.execute_reply.started":"2025-10-21T17:38:13.505929Z","shell.execute_reply":"2025-10-21T17:38:15.746796Z"}},"outputs":[{"name":"stdout","text":"Loading preprocessed data from Kaggle Input...\nData shape: X=(112559, 250, 1), y=(112559, 5)\nClasses: ['F' 'N' 'Q' 'S' 'V']\n","output_type":"stream"}],"execution_count":2},{"cell_type":"code","source":"print(\"\\nSplitting data...\")\n# First split: 80% train+val, 20% test\nX_temp, X_test, y_temp, y_test = train_test_split(\n X, y, test_size=0.2, random_state=42, stratify=y.argmax(axis=1)\n)\n\n# Second split: 80% train, 20% validation (of the 80%)\nX_train, X_val, y_train, y_val = train_test_split(\n X_temp, y_temp, test_size=0.2, random_state=42, stratify=y_temp.argmax(axis=1)\n)\n\nprint(f\"Train set: {X_train.shape[0]} samples\")\nprint(f\"Validation set: {X_val.shape[0]} samples\")\nprint(f\"Test set: {X_test.shape[0]} samples\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T17:38:21.820074Z","iopub.execute_input":"2025-10-21T17:38:21.820661Z","iopub.status.idle":"2025-10-21T17:38:22.063144Z","shell.execute_reply.started":"2025-10-21T17:38:21.820624Z","shell.execute_reply":"2025-10-21T17:38:22.062490Z"}},"outputs":[{"name":"stdout","text":"\nSplitting data...\nTrain set: 72037 samples\nValidation set: 18010 samples\nTest set: 22512 samples\n","output_type":"stream"}],"execution_count":3},{"cell_type":"code","source":"def create_lstm_model(input_shape, num_classes):\n \"\"\"\n Create a Bidirectional LSTM model for ECG classification.\n \"\"\"\n model = models.Sequential([\n # First Bi-LSTM layer with return sequences\n layers.Bidirectional(\n layers.LSTM(128, return_sequences=True),\n input_shape=input_shape\n ),\n layers.Dropout(0.4),\n layers.BatchNormalization(),\n\n # Second Bi-LSTM layer\n layers.Bidirectional(layers.LSTM(64)),\n layers.Dropout(0.4),\n layers.BatchNormalization(),\n\n # Dense layers for classification\n layers.Dense(64, activation='relu'),\n layers.Dropout(0.4),\n layers.Dense(32, activation='relu'),\n layers.Dropout(0.2),\n\n # Output layer\n layers.Dense(num_classes, activation='softmax')\n ])\n return model\n\n# --- Model Configuration ---\n\ninput_shape = (X_train.shape[1], X_train.shape[2]) # (250, 1)\nnum_classes = y_train.shape[1]\n\n# Callbacks for smart training\nearly_stop = keras.callbacks.EarlyStopping(\n monitor='val_loss',\n patience=15,\n restore_best_weights=True\n)\n\nreduce_lr = keras.callbacks.ReduceLROnPlateau(\n monitor='val_loss',\n factor=0.2,\n patience=5,\n min_lr=1e-6\n)\n\n# --- Create, Compile, and Train Model ---\n\nprint(\"\\nBuilding model...\")\nmodel = create_lstm_model(input_shape, num_classes)\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T17:38:24.638292Z","iopub.execute_input":"2025-10-21T17:38:24.638819Z","iopub.status.idle":"2025-10-21T17:38:27.158927Z","shell.execute_reply.started":"2025-10-21T17:38:24.638799Z","shell.execute_reply":"2025-10-21T17:38:27.158299Z"}},"outputs":[{"name":"stdout","text":"\nBuilding model...\n","output_type":"stream"},{"name":"stderr","text":"I0000 00:00:1761068305.632002 37 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13942 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5\nI0000 00:00:1761068305.632757 37 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 13942 MB memory: -> device: 1, name: Tesla T4, pci bus id: 0000:00:05.0, compute capability: 7.5\n/usr/local/lib/python3.11/dist-packages/keras/src/layers/rnn/bidirectional.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n super().__init__(**kwargs)\n","output_type":"stream"}],"execution_count":4},{"cell_type":"code","source":"model.compile(\n optimizer=keras.optimizers.Adam(learning_rate=0.001),\n loss='categorical_crossentropy',\n metrics=['accuracy', keras.metrics.Precision(), keras.metrics.Recall()]\n)\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T17:38:32.911063Z","iopub.execute_input":"2025-10-21T17:38:32.911332Z","iopub.status.idle":"2025-10-21T17:38:32.934255Z","shell.execute_reply.started":"2025-10-21T17:38:32.911312Z","shell.execute_reply":"2025-10-21T17:38:32.933655Z"}},"outputs":[],"execution_count":5},{"cell_type":"code","source":"print(\"\\nTraining model...\")\nhistory = model.fit(\n X_train, y_train,\n validation_data=(X_val, y_val),\n epochs=100, # Train for longer, EarlyStopping will handle it\n batch_size=256,\n callbacks=[early_stop, reduce_lr],\n verbose=1\n)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T17:38:34.946146Z","iopub.execute_input":"2025-10-21T17:38:34.946739Z","iopub.status.idle":"2025-10-21T18:11:43.295377Z","shell.execute_reply.started":"2025-10-21T17:38:34.946716Z","shell.execute_reply":"2025-10-21T18:11:43.294790Z"}},"outputs":[{"name":"stdout","text":"\nTraining model...\nEpoch 1/100\n","output_type":"stream"},{"name":"stderr","text":"I0000 00:00:1761068322.600633 99 cuda_dnn.cc:529] Loaded cuDNN version 90300\n","output_type":"stream"},{"name":"stdout","text":"\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 108ms/step - accuracy: 0.7420 - loss: 0.7885 - precision: 0.8033 - recall: 0.6606 - val_accuracy: 0.8185 - val_loss: 0.5188 - val_precision: 0.8351 - val_recall: 0.7974 - learning_rate: 0.0010\nEpoch 2/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 106ms/step - accuracy: 0.8748 - loss: 0.4120 - precision: 0.8981 - recall: 0.8444 - val_accuracy: 0.9257 - val_loss: 0.2525 - val_precision: 0.9509 - val_recall: 0.9002 - learning_rate: 0.0010\nEpoch 3/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 109ms/step - accuracy: 0.9149 - loss: 0.2979 - precision: 0.9357 - recall: 0.8928 - val_accuracy: 0.9458 - val_loss: 0.1848 - val_precision: 0.9629 - val_recall: 0.9287 - learning_rate: 0.0010\nEpoch 4/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9319 - loss: 0.2445 - precision: 0.9481 - recall: 0.9162 - val_accuracy: 0.9394 - val_loss: 0.1828 - val_precision: 0.9536 - val_recall: 0.9244 - learning_rate: 0.0010\nEpoch 5/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9389 - loss: 0.2193 - precision: 0.9535 - recall: 0.9254 - val_accuracy: 0.9562 - val_loss: 0.1443 - val_precision: 0.9679 - val_recall: 0.9457 - learning_rate: 0.0010\nEpoch 6/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9403 - loss: 0.2131 - precision: 0.9545 - recall: 0.9275 - val_accuracy: 0.9582 - val_loss: 0.1355 - val_precision: 0.9676 - val_recall: 0.9511 - learning_rate: 0.0010\nEpoch 7/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9496 - loss: 0.1785 - precision: 0.9613 - recall: 0.9397 - val_accuracy: 0.9605 - val_loss: 0.1286 - val_precision: 0.9711 - val_recall: 0.9518 - learning_rate: 0.0010\nEpoch 8/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9507 - loss: 0.1786 - precision: 0.9612 - recall: 0.9407 - val_accuracy: 0.9478 - val_loss: 0.1989 - val_precision: 0.9594 - val_recall: 0.9366 - learning_rate: 0.0010\nEpoch 9/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9510 - loss: 0.1795 - precision: 0.9613 - recall: 0.9421 - val_accuracy: 0.9651 - val_loss: 0.1149 - val_precision: 0.9715 - val_recall: 0.9600 - learning_rate: 0.0010\nEpoch 10/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9596 - loss: 0.1416 - precision: 0.9676 - recall: 0.9527 - val_accuracy: 0.9642 - val_loss: 0.1199 - val_precision: 0.9715 - val_recall: 0.9589 - learning_rate: 0.0010\nEpoch 11/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9624 - loss: 0.1321 - precision: 0.9698 - recall: 0.9567 - val_accuracy: 0.9652 - val_loss: 0.1216 - val_precision: 0.9717 - val_recall: 0.9601 - learning_rate: 0.0010\nEpoch 12/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9633 - loss: 0.1312 - precision: 0.9703 - recall: 0.9562 - val_accuracy: 0.9721 - val_loss: 0.0953 - val_precision: 0.9775 - val_recall: 0.9675 - learning_rate: 0.0010\nEpoch 13/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9652 - loss: 0.1252 - precision: 0.9719 - recall: 0.9594 - val_accuracy: 0.9681 - val_loss: 0.1084 - val_precision: 0.9751 - val_recall: 0.9639 - learning_rate: 0.0010\nEpoch 14/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9661 - loss: 0.1239 - precision: 0.9715 - recall: 0.9597 - val_accuracy: 0.9752 - val_loss: 0.0859 - val_precision: 0.9793 - val_recall: 0.9713 - learning_rate: 0.0010\nEpoch 15/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9688 - loss: 0.1146 - precision: 0.9742 - recall: 0.9637 - val_accuracy: 0.9703 - val_loss: 0.1049 - val_precision: 0.9753 - val_recall: 0.9663 - learning_rate: 0.0010\nEpoch 16/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9708 - loss: 0.1065 - precision: 0.9752 - recall: 0.9657 - val_accuracy: 0.9776 - val_loss: 0.0825 - val_precision: 0.9812 - val_recall: 0.9726 - learning_rate: 0.0010\nEpoch 17/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9712 - loss: 0.1016 - precision: 0.9757 - recall: 0.9663 - val_accuracy: 0.9779 - val_loss: 0.0780 - val_precision: 0.9808 - val_recall: 0.9748 - learning_rate: 0.0010\nEpoch 18/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9714 - loss: 0.1012 - precision: 0.9752 - recall: 0.9671 - val_accuracy: 0.9778 - val_loss: 0.0808 - val_precision: 0.9807 - val_recall: 0.9737 - learning_rate: 0.0010\nEpoch 19/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9716 - loss: 0.1032 - precision: 0.9759 - recall: 0.9671 - val_accuracy: 0.9756 - val_loss: 0.0870 - val_precision: 0.9807 - val_recall: 0.9713 - learning_rate: 0.0010\nEpoch 20/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9730 - loss: 0.0973 - precision: 0.9770 - recall: 0.9698 - val_accuracy: 0.9753 - val_loss: 0.0908 - val_precision: 0.9780 - val_recall: 0.9727 - learning_rate: 0.0010\nEpoch 21/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9741 - loss: 0.0904 - precision: 0.9780 - recall: 0.9706 - val_accuracy: 0.9751 - val_loss: 0.0878 - val_precision: 0.9790 - val_recall: 0.9723 - learning_rate: 0.0010\nEpoch 22/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9741 - loss: 0.0961 - precision: 0.9770 - recall: 0.9707 - val_accuracy: 0.9788 - val_loss: 0.0774 - val_precision: 0.9810 - val_recall: 0.9761 - learning_rate: 0.0010\nEpoch 23/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9740 - loss: 0.0885 - precision: 0.9778 - recall: 0.9712 - val_accuracy: 0.9727 - val_loss: 0.1036 - val_precision: 0.9756 - val_recall: 0.9700 - learning_rate: 0.0010\nEpoch 24/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9751 - loss: 0.0873 - precision: 0.9780 - recall: 0.9723 - val_accuracy: 0.9816 - val_loss: 0.0633 - val_precision: 0.9836 - val_recall: 0.9796 - learning_rate: 0.0010\nEpoch 25/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9775 - loss: 0.0802 - precision: 0.9803 - recall: 0.9749 - val_accuracy: 0.9814 - val_loss: 0.0656 - val_precision: 0.9838 - val_recall: 0.9792 - learning_rate: 0.0010\nEpoch 26/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9774 - loss: 0.0799 - precision: 0.9803 - recall: 0.9746 - val_accuracy: 0.9797 - val_loss: 0.0684 - val_precision: 0.9821 - val_recall: 0.9786 - learning_rate: 0.0010\nEpoch 27/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9773 - loss: 0.0794 - precision: 0.9801 - recall: 0.9750 - val_accuracy: 0.9815 - val_loss: 0.0633 - val_precision: 0.9830 - val_recall: 0.9804 - learning_rate: 0.0010\nEpoch 28/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9765 - loss: 0.0834 - precision: 0.9794 - recall: 0.9740 - val_accuracy: 0.9808 - val_loss: 0.0683 - val_precision: 0.9826 - val_recall: 0.9792 - learning_rate: 0.0010\nEpoch 29/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9771 - loss: 0.0809 - precision: 0.9797 - recall: 0.9747 - val_accuracy: 0.9817 - val_loss: 0.0624 - val_precision: 0.9842 - val_recall: 0.9801 - learning_rate: 0.0010\nEpoch 30/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9794 - loss: 0.0735 - precision: 0.9820 - recall: 0.9775 - val_accuracy: 0.9733 - val_loss: 0.0848 - val_precision: 0.9766 - val_recall: 0.9712 - learning_rate: 0.0010\nEpoch 31/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9787 - loss: 0.0763 - precision: 0.9810 - recall: 0.9765 - val_accuracy: 0.9771 - val_loss: 0.0795 - val_precision: 0.9790 - val_recall: 0.9760 - learning_rate: 0.0010\nEpoch 32/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9776 - loss: 0.0781 - precision: 0.9804 - recall: 0.9758 - val_accuracy: 0.9821 - val_loss: 0.0603 - val_precision: 0.9844 - val_recall: 0.9804 - learning_rate: 0.0010\nEpoch 33/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9795 - loss: 0.0713 - precision: 0.9818 - recall: 0.9773 - val_accuracy: 0.9800 - val_loss: 0.0723 - val_precision: 0.9819 - val_recall: 0.9782 - learning_rate: 0.0010\nEpoch 34/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9794 - loss: 0.0728 - precision: 0.9814 - recall: 0.9775 - val_accuracy: 0.9827 - val_loss: 0.0665 - val_precision: 0.9834 - val_recall: 0.9818 - learning_rate: 0.0010\nEpoch 35/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9796 - loss: 0.0743 - precision: 0.9815 - recall: 0.9776 - val_accuracy: 0.9701 - val_loss: 0.1098 - val_precision: 0.9725 - val_recall: 0.9665 - learning_rate: 0.0010\nEpoch 36/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9780 - loss: 0.0797 - precision: 0.9804 - recall: 0.9754 - val_accuracy: 0.9831 - val_loss: 0.0575 - val_precision: 0.9850 - val_recall: 0.9816 - learning_rate: 0.0010\nEpoch 37/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9800 - loss: 0.0688 - precision: 0.9822 - recall: 0.9780 - val_accuracy: 0.9831 - val_loss: 0.0612 - val_precision: 0.9841 - val_recall: 0.9814 - learning_rate: 0.0010\nEpoch 38/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9809 - loss: 0.0657 - precision: 0.9827 - recall: 0.9792 - val_accuracy: 0.9841 - val_loss: 0.0580 - val_precision: 0.9849 - val_recall: 0.9833 - learning_rate: 0.0010\nEpoch 39/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9821 - loss: 0.0622 - precision: 0.9839 - recall: 0.9808 - val_accuracy: 0.9834 - val_loss: 0.0585 - val_precision: 0.9845 - val_recall: 0.9828 - learning_rate: 0.0010\nEpoch 40/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9818 - loss: 0.0647 - precision: 0.9837 - recall: 0.9802 - val_accuracy: 0.9802 - val_loss: 0.0716 - val_precision: 0.9820 - val_recall: 0.9785 - learning_rate: 0.0010\nEpoch 41/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9818 - loss: 0.0637 - precision: 0.9837 - recall: 0.9801 - val_accuracy: 0.9850 - val_loss: 0.0503 - val_precision: 0.9861 - val_recall: 0.9841 - learning_rate: 0.0010\nEpoch 42/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9814 - loss: 0.0628 - precision: 0.9830 - recall: 0.9796 - val_accuracy: 0.9809 - val_loss: 0.0715 - val_precision: 0.9821 - val_recall: 0.9794 - learning_rate: 0.0010\nEpoch 43/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9817 - loss: 0.0659 - precision: 0.9835 - recall: 0.9803 - val_accuracy: 0.9831 - val_loss: 0.0611 - val_precision: 0.9847 - val_recall: 0.9823 - learning_rate: 0.0010\nEpoch 44/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9828 - loss: 0.0611 - precision: 0.9845 - recall: 0.9814 - val_accuracy: 0.9848 - val_loss: 0.0538 - val_precision: 0.9858 - val_recall: 0.9836 - learning_rate: 0.0010\nEpoch 45/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9827 - loss: 0.0581 - precision: 0.9847 - recall: 0.9815 - val_accuracy: 0.9855 - val_loss: 0.0519 - val_precision: 0.9866 - val_recall: 0.9845 - learning_rate: 0.0010\nEpoch 46/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9834 - loss: 0.0567 - precision: 0.9849 - recall: 0.9817 - val_accuracy: 0.9858 - val_loss: 0.0524 - val_precision: 0.9866 - val_recall: 0.9848 - learning_rate: 0.0010\nEpoch 47/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9855 - loss: 0.0477 - precision: 0.9874 - recall: 0.9842 - val_accuracy: 0.9879 - val_loss: 0.0457 - val_precision: 0.9882 - val_recall: 0.9868 - learning_rate: 2.0000e-04\nEpoch 48/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9877 - loss: 0.0427 - precision: 0.9888 - recall: 0.9866 - val_accuracy: 0.9883 - val_loss: 0.0456 - val_precision: 0.9893 - val_recall: 0.9875 - learning_rate: 2.0000e-04\nEpoch 49/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9888 - loss: 0.0397 - precision: 0.9897 - recall: 0.9879 - val_accuracy: 0.9879 - val_loss: 0.0461 - val_precision: 0.9887 - val_recall: 0.9876 - learning_rate: 2.0000e-04\nEpoch 50/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9888 - loss: 0.0386 - precision: 0.9899 - recall: 0.9880 - val_accuracy: 0.9875 - val_loss: 0.0466 - val_precision: 0.9881 - val_recall: 0.9867 - learning_rate: 2.0000e-04\nEpoch 51/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9887 - loss: 0.0380 - precision: 0.9898 - recall: 0.9878 - val_accuracy: 0.9885 - val_loss: 0.0469 - val_precision: 0.9891 - val_recall: 0.9880 - learning_rate: 2.0000e-04\nEpoch 52/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9886 - loss: 0.0376 - precision: 0.9896 - recall: 0.9877 - val_accuracy: 0.9885 - val_loss: 0.0466 - val_precision: 0.9893 - val_recall: 0.9882 - learning_rate: 2.0000e-04\nEpoch 53/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9902 - loss: 0.0338 - precision: 0.9910 - recall: 0.9891 - val_accuracy: 0.9880 - val_loss: 0.0468 - val_precision: 0.9889 - val_recall: 0.9874 - learning_rate: 2.0000e-04\nEpoch 54/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9896 - loss: 0.0360 - precision: 0.9911 - recall: 0.9890 - val_accuracy: 0.9887 - val_loss: 0.0461 - val_precision: 0.9894 - val_recall: 0.9881 - learning_rate: 4.0000e-05\nEpoch 55/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9902 - loss: 0.0324 - precision: 0.9911 - recall: 0.9895 - val_accuracy: 0.9886 - val_loss: 0.0464 - val_precision: 0.9895 - val_recall: 0.9881 - learning_rate: 4.0000e-05\nEpoch 56/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9904 - loss: 0.0319 - precision: 0.9916 - recall: 0.9895 - val_accuracy: 0.9885 - val_loss: 0.0467 - val_precision: 0.9893 - val_recall: 0.9882 - learning_rate: 4.0000e-05\nEpoch 57/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9906 - loss: 0.0310 - precision: 0.9913 - recall: 0.9897 - val_accuracy: 0.9890 - val_loss: 0.0469 - val_precision: 0.9898 - val_recall: 0.9885 - learning_rate: 4.0000e-05\nEpoch 58/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9908 - loss: 0.0317 - precision: 0.9915 - recall: 0.9901 - val_accuracy: 0.9890 - val_loss: 0.0468 - val_precision: 0.9898 - val_recall: 0.9887 - learning_rate: 4.0000e-05\nEpoch 59/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9909 - loss: 0.0301 - precision: 0.9919 - recall: 0.9902 - val_accuracy: 0.9890 - val_loss: 0.0471 - val_precision: 0.9898 - val_recall: 0.9887 - learning_rate: 8.0000e-06\nEpoch 60/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 112ms/step - accuracy: 0.9917 - loss: 0.0300 - precision: 0.9927 - recall: 0.9908 - val_accuracy: 0.9888 - val_loss: 0.0471 - val_precision: 0.9897 - val_recall: 0.9886 - learning_rate: 8.0000e-06\nEpoch 61/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9912 - loss: 0.0307 - precision: 0.9921 - recall: 0.9905 - val_accuracy: 0.9890 - val_loss: 0.0470 - val_precision: 0.9899 - val_recall: 0.9887 - learning_rate: 8.0000e-06\nEpoch 62/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 112ms/step - accuracy: 0.9910 - loss: 0.0307 - precision: 0.9918 - recall: 0.9902 - val_accuracy: 0.9890 - val_loss: 0.0474 - val_precision: 0.9898 - val_recall: 0.9887 - learning_rate: 8.0000e-06\nEpoch 63/100\n\u001b[1m282/282\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m31s\u001b[0m 111ms/step - accuracy: 0.9907 - loss: 0.0307 - precision: 0.9915 - recall: 0.9900 - val_accuracy: 0.9889 - val_loss: 0.0472 - val_precision: 0.9897 - val_recall: 0.9886 - learning_rate: 8.0000e-06\n","output_type":"stream"}],"execution_count":6},{"cell_type":"code","source":"print(\"\\nSaving model...\")\nmodel.save('ecg_classifier.keras')\nprint(\"Model saved successfully!\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T18:11:58.556880Z","iopub.execute_input":"2025-10-21T18:11:58.557155Z","iopub.status.idle":"2025-10-21T18:11:58.658338Z","shell.execute_reply.started":"2025-10-21T18:11:58.557135Z","shell.execute_reply":"2025-10-21T18:11:58.657691Z"}},"outputs":[{"name":"stdout","text":"\nSaving model...\nModel saved successfully!\n","output_type":"stream"}],"execution_count":7},{"cell_type":"code","source":"print(\"\\nPlotting training history...\")\nfig, axes = plt.subplots(2, 2, figsize=(15, 10))\n\n# Accuracy\naxes[0, 0].plot(history.history['accuracy'], label='Train')\naxes[0, 0].plot(history.history['val_accuracy'], label='Validation')\naxes[0, 0].set_title('Model Accuracy', fontsize=14)\naxes[0, 0].set_xlabel('Epoch')\naxes[0, 0].set_ylabel('Accuracy')\naxes[0, 0].legend()\naxes[0, 0].grid(alpha=0.3)\n\n# Loss\naxes[0, 1].plot(history.history['loss'], label='Train')\naxes[0, 1].plot(history.history['val_loss'], label='Validation')\naxes[0, 1].set_title('Model Loss', fontsize=14)\naxes[0, 1].set_xlabel('Epoch')\naxes[0, 1].set_ylabel('Loss')\naxes[0, 1].legend()\naxes[0, 1].grid(alpha=0.3)\n\n# Precision\naxes[1, 0].plot(history.history['precision'], label='Train')\naxes[1, 0].plot(history.history['val_precision'], label='Validation')\naxes[1, 0].set_title('Model Precision', fontsize=14)\naxes[1, 0].set_xlabel('Epoch')\naxes[1, 0].set_ylabel('Precision')\naxes[1, 0].legend()\naxes[1, 0].grid(alpha=0.3)\n\n# Recall\naxes[1, 1].plot(history.history['recall'], label='Train')\naxes[1, 1].plot(history.history['val_recall'], label='Validation')\naxes[1, 1].set_title('Model Recall', fontsize=14)\naxes[1, 1].set_xlabel('Epoch')\naxes[1, 1].set_ylabel('Recall')\naxes[1, 1].legend()\naxes[1, 1].grid(alpha=0.3)\n\nplt.tight_layout()\nplt.savefig('training_history.png', dpi=150, bbox_inches='tight')\nprint(\"Training history saved to: training_history.png\")\nplt.show()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T18:12:05.161118Z","iopub.execute_input":"2025-10-21T18:12:05.161385Z","iopub.status.idle":"2025-10-21T18:12:06.934627Z","shell.execute_reply.started":"2025-10-21T18:12:05.161365Z","shell.execute_reply":"2025-10-21T18:12:06.933821Z"}},"outputs":[{"name":"stdout","text":"\nPlotting training history...\nTraining history saved to: training_history.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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+ \"=\"*70)\nprint(\"EVALUATION ON TEST SET\")\nprint(\"=\"*70)\n\n# Make predictions\ny_pred_probs = model.predict(X_test)\ny_pred = np.argmax(y_pred_probs, axis=1)\ny_true = np.argmax(y_test, axis=1)\n\n# Calculate metrics\ntest_loss, test_acc, test_prec, test_rec = model.evaluate(X_test, y_test, verbose=0)\nprint(f\"\\nTest Loss: {test_loss:.4f}\")\nprint(f\"Test Accuracy: {test_acc:.4f}\")\nprint(f\"Test Precision: {test_prec:.4f}\")\nprint(f\"Test Recall: {test_rec:.4f}\")\n\n# Classification Report\nprint(\"\\nClassification Report:\")\nprint(classification_report(y_true, y_pred, target_names=label_names, digits=4))\n\n# Per-class metrics\nprecision, recall, f1, support = precision_recall_fscore_support(y_true, y_pred)\nprint(\"\\nPer-Class Detailed Metrics:\")\nprint(\"-\" * 70)\nprint(f\"{'Class':<10} {'Precision':<12} {'Recall':<12} {'F1-Score':<12} {'Support':<10}\")\nprint(\"-\" * 70)\nfor i, label in enumerate(label_names):\n print(f\"{label:<10} {precision[i]:<12.4f} {recall[i]:<12.4f} {f1[i]:<12.4f} {support[i]:<10}\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T18:12:15.414189Z","iopub.execute_input":"2025-10-21T18:12:15.414453Z","iopub.status.idle":"2025-10-21T18:12:36.658002Z","shell.execute_reply.started":"2025-10-21T18:12:15.414433Z","shell.execute_reply":"2025-10-21T18:12:36.657231Z"}},"outputs":[{"name":"stdout","text":"\n======================================================================\nEVALUATION ON TEST SET\n======================================================================\n\u001b[1m704/704\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 14ms/step\n\nTest Loss: 0.0469\nTest Accuracy: 0.9874\nTest Precision: 0.9886\nTest Recall: 0.9865\n\nClassification Report:\n precision recall f1-score support\n\n F 0.9124 0.7812 0.8418 160\n N 0.9915 0.9950 0.9933 18119\n Q 0.9808 0.9852 0.9830 2230\n S 0.9399 0.8435 0.8891 556\n V 0.9704 0.9737 0.9721 1447\n\n accuracy 0.9874 22512\n macro avg 0.9590 0.9157 0.9358 22512\nweighted avg 0.9872 0.9874 0.9872 22512\n\n\nPer-Class Detailed Metrics:\n----------------------------------------------------------------------\nClass Precision Recall F1-Score Support \n----------------------------------------------------------------------\nF 0.9124 0.7812 0.8418 160 \nN 0.9915 0.9950 0.9933 18119 \nQ 0.9808 0.9852 0.9830 2230 \nS 0.9399 0.8435 0.8891 556 \nV 0.9704 0.9737 0.9721 1447 \n","output_type":"stream"}],"execution_count":9},{"cell_type":"code","source":"print(\"\\nGenerating confusion matrix...\")\ncm = confusion_matrix(y_true, y_pred)\n\nplt.figure(figsize=(10, 8))\nsns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n xticklabels=label_names, yticklabels=label_names,\n cbar_kws={'label': 'Count'})\nplt.title('Confusion Matrix - Test Set', fontsize=16, pad=20)\nplt.xlabel('Predicted Label', fontsize=12)\nplt.ylabel('True Label', fontsize=12)\nplt.tight_layout()\nplt.savefig('confusion_matrix.png', dpi=150, bbox_inches='tight')\nprint(\"Confusion matrix saved to: confusion_matrix.png\")\nplt.show()\n\n# Normalized confusion matrix\ncm_norm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n\nplt.figure(figsize=(6, 4))\nsns.heatmap(cm_norm, annot=True, fmt='.2%', cmap='Blues',\n xticklabels=label_names, yticklabels=label_names,\n cbar_kws={'label': 'Percentage'})\nplt.title('Normalized Confusion Matrix - Test Set', fontsize=16, pad=20)\nplt.xlabel('Predicted Label', fontsize=12)\nplt.ylabel('True Label', fontsize=12)\nplt.tight_layout()\nplt.savefig('confusion_matrix_normalized.png', dpi=150, bbox_inches='tight')\nprint(\"Normalized confusion matrix saved to: confusion_matrix_normalized.png\")\nplt.show()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T18:15:44.093535Z","iopub.execute_input":"2025-10-21T18:15:44.093868Z","iopub.status.idle":"2025-10-21T18:15:45.358682Z","shell.execute_reply.started":"2025-10-21T18:15:44.093846Z","shell.execute_reply":"2025-10-21T18:15:45.358020Z"}},"outputs":[{"name":"stdout","text":"\nGenerating confusion matrix...\nConfusion matrix saved to: confusion_matrix.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}},{"name":"stdout","text":"Normalized confusion matrix saved to: confusion_matrix_normalized.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}],"execution_count":10},{"cell_type":"code","source":"print(\"\\nVisualizing sample predictions...\")\nnum_samples = min(9, len(X_test))\nrandom_indices = np.random.choice(len(X_test), num_samples, replace=False)\n\nfig, axes = plt.subplots(3, 3, figsize=(10, 8))\naxes = axes.ravel()\n\nfor i, idx in enumerate(random_indices):\n true_label = label_names[y_true[idx]]\n pred_label = label_names[y_pred[idx]]\n confidence = y_pred_probs[idx][y_pred[idx]] * 100\n\n axes[i].plot(X_test[idx, :, 0])\n\n color = 'green' if true_label == pred_label else 'red'\n axes[i].set_title(f'True: {true_label} | Pred: {pred_label} ({confidence:.1f}%)',\n color=color, fontsize=10, fontweight='bold')\n axes[i].set_xlabel('Sample')\n axes[i].set_ylabel('Amplitude')\n axes[i].grid(alpha=0.3)\n\nplt.tight_layout()\nplt.savefig('sample_predictions.png', dpi=150, bbox_inches='tight')\nprint(\"Sample predictions saved to: sample_predictions.png\")\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-10-21T18:17:51.648559Z","iopub.execute_input":"2025-10-21T18:17:51.649302Z","iopub.status.idle":"2025-10-21T18:17:53.777549Z","shell.execute_reply.started":"2025-10-21T18:17:51.649280Z","shell.execute_reply":"2025-10-21T18:17:53.776755Z"}},"outputs":[{"name":"stdout","text":"\nVisualizing sample predictions...\nSample predictions saved to: sample_predictions.png\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}],"execution_count":11},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]} \ No newline at end of file