Fatigue_not_Fatigue_classification.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!unzip '/content/fatigue.zip' -d  '/content/fatigue'\n",
        "!unzip  \"/content/no fatigue.zip\" -d '/content/no_fatigue'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S2VOOKv3MiS0",
        "outputId": "996d52b4-75c9-4a62-ca22-38da37986ce4"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  /content/fatigue.zip\n",
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            "Archive:  /content/no fatigue.zip\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "from torchvision import datasets, transforms, models\n",
        "from torch.utils.data import DataLoader, Subset\n",
        "from sklearn.model_selection import train_test_split\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import random\n",
        "import numpy as np\n",
        "import os"
      ],
      "metadata": {
        "id": "f8H583lpPEkb"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Image Data preparation and Visiualization"
      ],
      "metadata": {
        "id": "rlVmxixhSfkM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Image Augmentation\n",
        "transform = transforms.Compose([\n",
        "    transforms.Resize((224, 224)),\n",
        "    transforms.RandomHorizontalFlip(),\n",
        "    transforms.RandomRotation(10),\n",
        "    transforms.ColorJitter(brightness=0.2, contrast=0.2, saturation=0.2, hue=0.2),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
        "])"
      ],
      "metadata": {
        "id": "PAQGWa_APH4U"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Dataset Loading\n",
        "dataset = datasets.ImageFolder(root='/content/data', transform=transform)\n",
        "# Assuming folder structure: data/fatigue and data/not_fatigue\n",
        "labels = [sample[1] for sample in dataset.imgs]\n",
        "\n",
        "# Train-Test Split with Stratify\n",
        "train_idx, val_idx = train_test_split(\n",
        "    np.arange(len(labels)),\n",
        "    test_size=0.2,\n",
        "    stratify=labels,\n",
        "    random_state=42\n",
        ")\n",
        "\n",
        "train_dataset = Subset(dataset, train_idx)\n",
        "val_dataset = Subset(dataset, val_idx)\n",
        "\n",
        "train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)\n",
        "val_loader = DataLoader(val_dataset, batch_size=32, shuffle=False)"
      ],
      "metadata": {
        "id": "KE_g3dIwMQu0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from collections import Counter\n",
        "\n",
        "# Extract labels for training and validation datasets\n",
        "train_labels = [dataset.targets[i] for i in train_idx]\n",
        "val_labels = [dataset.targets[i] for i in val_idx]\n",
        "\n",
        "# Count the occurrences of each class in training and validation datasets\n",
        "train_class_counts = Counter(train_labels)\n",
        "val_class_counts = Counter(val_labels)\n",
        "\n",
        "# Map class indices to class names\n",
        "class_names = dataset.classes\n",
        "\n",
        "# Print class distribution in the training set\n",
        "print(\"Training Set Class Distribution:\")\n",
        "for idx, count in train_class_counts.items():\n",
        "    print(f\"Class '{class_names[idx]}': {count} samples\")\n",
        "\n",
        "# Print class distribution in the validation set\n",
        "print(\"\\nValidation Set Class Distribution:\")\n",
        "for idx, count in val_class_counts.items():\n",
        "    print(f\"Class '{class_names[idx]}': {count} samples\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x4TVAc1tPyPN",
        "outputId": "2dd77c74-944f-4a51-ae42-ae905929f8f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Set Class Distribution:\n",
            "Class 'no_fatigue': 81 samples\n",
            "Class 'fatigue': 69 samples\n",
            "\n",
            "Validation Set Class Distribution:\n",
            "Class 'no_fatigue': 20 samples\n",
            "Class 'fatigue': 18 samples\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Display 6 Random Images per Class\n",
        "def show_random_images(dataset, class_names):\n",
        "    fig, axes = plt.subplots(len(class_names), 6, figsize=(15, 8))\n",
        "    for class_idx, class_name in enumerate(class_names):\n",
        "        class_samples = [img_path for img_path, label in dataset.samples if label == class_idx]\n",
        "        random_samples = random.sample(class_samples, 6)\n",
        "        for img_idx, img_path in enumerate(random_samples):\n",
        "            image = plt.imread(img_path)\n",
        "            axes[class_idx, img_idx].imshow(image)\n",
        "            axes[class_idx, img_idx].axis('off')\n",
        "            if img_idx == 0:\n",
        "                axes[class_idx, img_idx].set_title(class_name)\n",
        "    plt.tight_layout()\n",
        "    plt.show()\n",
        "\n",
        "# Show Random Images per Class\n",
        "show_random_images(dataset, class_names)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "hmtPawLFTqS1",
        "outputId": "2375b164-95f5-44a4-e5b0-4cb51618431e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x800 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Image data"
      ],
      "metadata": {
        "id": "UrX2wr3SPchi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Model Definitions\n",
        "class CustomModel(nn.Module):\n",
        "    def __init__(self, base_model, model_name):\n",
        "        super(CustomModel, self).__init__()\n",
        "        self.base_model = base_model\n",
        "        if model_name in ['ResNet18', 'GoogLeNet']:\n",
        "            self.base_model.fc = nn.Linear(self.base_model.fc.in_features, 1)\n",
        "        elif model_name == 'VGG16':\n",
        "            self.base_model.classifier[6] = nn.Linear(self.base_model.classifier[6].in_features, 1)\n",
        "        elif model_name == 'DenseNet121':\n",
        "            self.base_model.classifier = nn.Linear(self.base_model.classifier.in_features, 1)\n",
        "        elif model_name == 'EfficientNetB0':\n",
        "            self.base_model.classifier[1] = nn.Linear(self.base_model.classifier[1].in_features, 1)\n",
        "        elif model_name == 'ViT':\n",
        "            self.base_model.heads.head = nn.Linear(self.base_model.heads.head.in_features, 1)\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = self.base_model(x)\n",
        "        return torch.sigmoid(x)\n",
        "\n",
        "# Initialize Models\n",
        "models_dict = {\n",
        "    'GoogLeNet': CustomModel(models.googlenet(pretrained=True), 'GoogLeNet'),\n",
        "    'ResNet18': CustomModel(models.resnet18(pretrained=True), 'ResNet18'),\n",
        "    'VGG16': CustomModel(models.vgg16(pretrained=True), 'VGG16'),\n",
        "    'ViT': CustomModel(models.vit_b_16(pretrained=True), 'ViT'),\n",
        "    'DenseNet121': CustomModel(models.densenet121(pretrained=True), 'DenseNet121'),\n",
        "    'EfficientNetB0': CustomModel(models.efficientnet_b0(pretrained=True), 'EfficientNetB0')\n",
        "}\n",
        "\n",
        "# Training Function\n",
        "def train_model(model, model_name, num_epochs=10):\n",
        "    criterion = nn.BCELoss()\n",
        "    optimizer = optim.Adam(model.parameters(), lr=0.001)\n",
        "    device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "    model.to(device)\n",
        "\n",
        "    train_losses, val_accuracies = [], []\n",
        "    for epoch in range(num_epochs):\n",
        "        model.train()\n",
        "        running_loss = 0.0\n",
        "        for images, labels in train_loader:\n",
        "            images, labels = images.to(device), labels.float().to(device)\n",
        "            labels = labels.view(-1, 1)\n",
        "\n",
        "            optimizer.zero_grad()\n",
        "            outputs = model(images)\n",
        "            loss = criterion(outputs, labels)\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "            running_loss += loss.item()\n",
        "\n",
        "        avg_loss = running_loss / len(train_loader)\n",
        "        train_losses.append(avg_loss)\n",
        "\n",
        "        # Validation\n",
        "        model.eval()\n",
        "        correct, total = 0, 0\n",
        "        with torch.no_grad():\n",
        "            for images, labels in val_loader:\n",
        "                images, labels = images.to(device), labels.to(device)\n",
        "                outputs = model(images)\n",
        "                predicted = (outputs > 0.5).float()\n",
        "                total += labels.size(0)\n",
        "                correct += (predicted.view(-1) == labels).sum().item()\n",
        "\n",
        "        accuracy = 100 * correct / total\n",
        "        val_accuracies.append(accuracy)\n",
        "        print(f'{model_name} - Epoch [{epoch+1}/{num_epochs}], Loss: {avg_loss:.4f}, Val Accuracy: {accuracy:.2f}%')\n",
        "    torch.save(model.state_dict(), f'{model_name}_binary_classification.pth')\n",
        "    return train_losses, val_accuracies\n",
        "\n",
        "# Training All Models\n",
        "results = {}\n",
        "for name, model in models_dict.items():\n",
        "    print(f'\\nTraining {name}...')\n",
        "    losses, accuracies = train_model(model, name)\n",
        "    results[name] = {'Loss': losses, 'Accuracy': accuracies}\n",
        "\n",
        "# Plot Comparison\n",
        "plt.figure(figsize=(12, 6))\n",
        "for name in results:\n",
        "    plt.plot(results[name]['Accuracy'], label=f'{name} Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Accuracy (%)')\n",
        "plt.title('Model Validation Accuracy Comparison')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "K65INehvRYh1",
        "outputId": "cb061f3a-61eb-48c6-e96f-2604297f16b7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Training GoogLeNet...\n",
            "GoogLeNet - Epoch [1/10], Loss: 0.7246, Val Accuracy: 52.63%\n",
            "GoogLeNet - Epoch [2/10], Loss: 0.6880, Val Accuracy: 44.74%\n",
            "GoogLeNet - Epoch [3/10], Loss: 0.5696, Val Accuracy: 52.63%\n",
            "GoogLeNet - Epoch [4/10], Loss: 0.5660, Val Accuracy: 57.89%\n",
            "GoogLeNet - Epoch [5/10], Loss: 0.4428, Val Accuracy: 47.37%\n",
            "GoogLeNet - Epoch [6/10], Loss: 0.3157, Val Accuracy: 57.89%\n",
            "GoogLeNet - Epoch [7/10], Loss: 0.3789, Val Accuracy: 57.89%\n",
            "GoogLeNet - Epoch [8/10], Loss: 0.3351, Val Accuracy: 57.89%\n",
            "GoogLeNet - Epoch [9/10], Loss: 0.3179, Val Accuracy: 68.42%\n",
            "GoogLeNet - Epoch [10/10], Loss: 0.2352, Val Accuracy: 57.89%\n",
            "\n",
            "Training ResNet18...\n",
            "ResNet18 - Epoch [1/10], Loss: 0.8638, Val Accuracy: 50.00%\n",
            "ResNet18 - Epoch [2/10], Loss: 0.9766, Val Accuracy: 57.89%\n",
            "ResNet18 - Epoch [3/10], Loss: 0.6484, Val Accuracy: 44.74%\n",
            "ResNet18 - Epoch [4/10], Loss: 0.6037, Val Accuracy: 50.00%\n",
            "ResNet18 - Epoch [5/10], Loss: 0.5308, Val Accuracy: 60.53%\n",
            "ResNet18 - Epoch [6/10], Loss: 0.4630, Val Accuracy: 47.37%\n",
            "ResNet18 - Epoch [7/10], Loss: 0.4410, Val Accuracy: 52.63%\n",
            "ResNet18 - Epoch [8/10], Loss: 0.4827, Val Accuracy: 65.79%\n",
            "ResNet18 - Epoch [9/10], Loss: 0.4095, Val Accuracy: 50.00%\n",
            "ResNet18 - Epoch [10/10], Loss: 0.4065, Val Accuracy: 71.05%\n",
            "\n",
            "Training VGG16...\n",
            "VGG16 - Epoch [1/10], Loss: 1.1596, Val Accuracy: 52.63%\n",
            "VGG16 - Epoch [2/10], Loss: 0.7926, Val Accuracy: 52.63%\n",
            "VGG16 - Epoch [3/10], Loss: 0.7317, Val Accuracy: 47.37%\n",
            "VGG16 - Epoch [4/10], Loss: 0.7540, Val Accuracy: 52.63%\n",
            "VGG16 - Epoch [5/10], Loss: 0.7250, Val Accuracy: 52.63%\n",
            "VGG16 - Epoch [6/10], Loss: 0.6914, Val Accuracy: 44.74%\n",
            "VGG16 - Epoch [7/10], Loss: 0.6882, Val Accuracy: 47.37%\n",
            "VGG16 - Epoch [8/10], Loss: 0.6808, Val Accuracy: 47.37%\n",
            "VGG16 - Epoch [9/10], Loss: 0.7425, Val Accuracy: 57.89%\n",
            "VGG16 - Epoch [10/10], Loss: 0.6923, Val Accuracy: 52.63%\n",
            "\n",
            "Training ViT...\n",
            "ViT - Epoch [1/10], Loss: 1.3283, Val Accuracy: 47.37%\n",
            "ViT - Epoch [2/10], Loss: 0.7320, Val Accuracy: 52.63%\n",
            "ViT - Epoch [3/10], Loss: 0.6972, Val Accuracy: 47.37%\n",
            "ViT - Epoch [4/10], Loss: 0.7190, Val Accuracy: 52.63%\n",
            "ViT - Epoch [5/10], Loss: 0.6937, Val Accuracy: 47.37%\n",
            "ViT - Epoch [6/10], Loss: 0.7002, Val Accuracy: 52.63%\n",
            "ViT - Epoch [7/10], Loss: 0.6996, Val Accuracy: 52.63%\n",
            "ViT - Epoch [8/10], Loss: 0.7135, Val Accuracy: 52.63%\n",
            "ViT - Epoch [9/10], Loss: 0.7170, Val Accuracy: 57.89%\n",
            "ViT - Epoch [10/10], Loss: 0.7244, Val Accuracy: 52.63%\n",
            "\n",
            "Training DenseNet121...\n",
            "DenseNet121 - Epoch [1/10], Loss: 0.7856, Val Accuracy: 57.89%\n",
            "DenseNet121 - Epoch [2/10], Loss: 0.6584, Val Accuracy: 52.63%\n",
            "DenseNet121 - Epoch [3/10], Loss: 0.6602, Val Accuracy: 52.63%\n",
            "DenseNet121 - Epoch [4/10], Loss: 0.6267, Val Accuracy: 52.63%\n",
            "DenseNet121 - Epoch [5/10], Loss: 0.5915, Val Accuracy: 44.74%\n",
            "DenseNet121 - Epoch [6/10], Loss: 0.4970, Val Accuracy: 65.79%\n",
            "DenseNet121 - Epoch [7/10], Loss: 0.4554, Val Accuracy: 55.26%\n",
            "DenseNet121 - Epoch [8/10], Loss: 0.3524, Val Accuracy: 76.32%\n",
            "DenseNet121 - Epoch [9/10], Loss: 0.2952, Val Accuracy: 50.00%\n",
            "DenseNet121 - Epoch [10/10], Loss: 0.3013, Val Accuracy: 63.16%\n",
            "\n",
            "Training EfficientNetB0...\n",
            "EfficientNetB0 - Epoch [1/10], Loss: 0.6941, Val Accuracy: 55.26%\n",
            "EfficientNetB0 - Epoch [2/10], Loss: 0.6275, Val Accuracy: 63.16%\n",
            "EfficientNetB0 - Epoch [3/10], Loss: 0.5535, Val Accuracy: 60.53%\n",
            "EfficientNetB0 - Epoch [4/10], Loss: 0.5292, Val Accuracy: 71.05%\n",
            "EfficientNetB0 - Epoch [5/10], Loss: 0.5850, Val Accuracy: 60.53%\n",
            "EfficientNetB0 - Epoch [6/10], Loss: 0.4081, Val Accuracy: 50.00%\n",
            "EfficientNetB0 - Epoch [7/10], Loss: 0.4323, Val Accuracy: 65.79%\n",
            "EfficientNetB0 - Epoch [8/10], Loss: 0.3040, Val Accuracy: 71.05%\n",
            "EfficientNetB0 - Epoch [9/10], Loss: 0.3249, Val Accuracy: 68.42%\n",
            "EfficientNetB0 - Epoch [10/10], Loss: 0.2761, Val Accuracy: 60.53%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Image with Tabulare data"
      ],
      "metadata": {
        "id": "pKJnpNxPPEi7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_excel('/content/fatigue levels.xlsx')\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "jk81iWqPSWZr",
        "outputId": "2f0ab415-526f-4f72-a545-25a0446e774c"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  list of trials  image name  fatigue level  mental fatigue  \\\n",
              "0         1001_0  29_cropped              2               1   \n",
              "1         1001_1  30_cropped              2               1   \n",
              "2         1001_2  31_cropped              2               1   \n",
              "3         1001_3  32_cropped              2               0   \n",
              "4         1001_4  33_cropped              1               0   \n",
              "\n",
              "   class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)      RT    Entropy  \n",
              "0                                              0  0.4033  18.994072  \n",
              "1                                              0  0.3742  18.721839  \n",
              "2                                              0  0.3688  18.760150  \n",
              "3                                              0  0.3981  18.759705  \n",
              "4                                              0  0.4646  18.920669  "
            ],
            "text/html": [
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>list of trials</th>\n",
              "      <th>image name</th>\n",
              "      <th>fatigue level</th>\n",
              "      <th>mental fatigue</th>\n",
              "      <th>class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)</th>\n",
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              "      <th>0</th>\n",
              "      <td>1001_0</td>\n",
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              "      <td>2</td>\n",
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              "      <td>18.994072</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1001_1</td>\n",
              "      <td>30_cropped</td>\n",
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              "    </tr>\n",
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              "      <th>2</th>\n",
              "      <td>1001_2</td>\n",
              "      <td>31_cropped</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
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              "      <td>0.3688</td>\n",
              "      <td>18.760150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1001_3</td>\n",
              "      <td>32_cropped</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.3981</td>\n",
              "      <td>18.759705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1001_4</td>\n",
              "      <td>33_cropped</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.4646</td>\n",
              "      <td>18.920669</td>\n",
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              "        document.querySelector('#df-8a84a11a-cf1c-42e5-96ea-260de7a19b3d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-8a84a11a-cf1c-42e5-96ea-260de7a19b3d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-9a1c8c7e-1137-450c-9ccd-d203890c62c6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9a1c8c7e-1137-450c-9ccd-d203890c62c6')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9a1c8c7e-1137-450c-9ccd-d203890c62c6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 188,\n  \"fields\": [\n    {\n      \"column\": \"list of trials\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 188,\n        \"samples\": [\n          \"Ahmad_trial_1\",\n          \"Talesh_trial_3\",\n          \"1003_2\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 188,\n        \"samples\": [\n          \"1_cropped\",\n          \"26_cropped\",\n          \"47_cropped\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fatigue level\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1,\n          0,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mental fatigue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0,\n          3,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1465176352020144,\n        \"min\": 0.3625,\n        \"max\": 1.5072,\n        \"num_unique_values\": 181,\n        \"samples\": [\n          0.5352,\n          0.5537\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Entropy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2963337197779121,\n        \"min\": 18.0743375255343,\n        \"max\": 19.3634101823373,\n        \"num_unique_values\": 188,\n        \"samples\": [\n          18.1897280342732,\n          18.1094095841566\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Prepare dataframe"
      ],
      "metadata": {
        "id": "ZdbzxEUzSW5j"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import tqdm\n",
        "import os\n",
        "\n",
        "for idx, row in tqdm.tqdm(df.iterrows(), total=len(df)):\n",
        "    df.at[idx, 'image name'] = os.path.join('/content/image_data', row['image name']) + '.png'\n",
        "\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "id": "7tPT4ouzS3Bm",
        "outputId": "a3f78a14-60e8-4af1-dd41-2f06c1b101b9"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 188/188 [00:00<00:00, 7831.02it/s]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  list of trials                          image name  fatigue level  \\\n",
              "0         1001_0  /content/image_data/29_cropped.png              2   \n",
              "1         1001_1  /content/image_data/30_cropped.png              2   \n",
              "2         1001_2  /content/image_data/31_cropped.png              2   \n",
              "3         1001_3  /content/image_data/32_cropped.png              2   \n",
              "4         1001_4  /content/image_data/33_cropped.png              1   \n",
              "\n",
              "   mental fatigue  class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)      RT  \\\n",
              "0               1                                              0  0.4033   \n",
              "1               1                                              0  0.3742   \n",
              "2               1                                              0  0.3688   \n",
              "3               0                                              0  0.3981   \n",
              "4               0                                              0  0.4646   \n",
              "\n",
              "     Entropy  \n",
              "0  18.994072  \n",
              "1  18.721839  \n",
              "2  18.760150  \n",
              "3  18.759705  \n",
              "4  18.920669  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-298353db-1025-422d-91a6-1a5a3da69c08\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>list of trials</th>\n",
              "      <th>image name</th>\n",
              "      <th>fatigue level</th>\n",
              "      <th>mental fatigue</th>\n",
              "      <th>class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)</th>\n",
              "      <th>RT</th>\n",
              "      <th>Entropy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1001_0</td>\n",
              "      <td>/content/image_data/29_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0.4033</td>\n",
              "      <td>18.994072</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1001_1</td>\n",
              "      <td>/content/image_data/30_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0.3742</td>\n",
              "      <td>18.721839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1001_2</td>\n",
              "      <td>/content/image_data/31_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0.3688</td>\n",
              "      <td>18.760150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1001_3</td>\n",
              "      <td>/content/image_data/32_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.3981</td>\n",
              "      <td>18.759705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1001_4</td>\n",
              "      <td>/content/image_data/33_cropped.png</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.4646</td>\n",
              "      <td>18.920669</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-298353db-1025-422d-91a6-1a5a3da69c08')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-298353db-1025-422d-91a6-1a5a3da69c08 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-298353db-1025-422d-91a6-1a5a3da69c08');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-30ec4909-0b90-4815-9ea4-bf62ea9a6a5e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-30ec4909-0b90-4815-9ea4-bf62ea9a6a5e')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-30ec4909-0b90-4815-9ea4-bf62ea9a6a5e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 188,\n  \"fields\": [\n    {\n      \"column\": \"list of trials\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 188,\n        \"samples\": [\n          \"Ahmad_trial_1\",\n          \"Talesh_trial_3\",\n          \"1003_2\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 188,\n        \"samples\": [\n          \"/content/image_data/1_cropped.png\",\n          \"/content/image_data/26_cropped.png\",\n          \"/content/image_data/47_cropped.png\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fatigue level\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1,\n          0,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mental fatigue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0,\n          3,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1465176352020144,\n        \"min\": 0.3625,\n        \"max\": 1.5072,\n        \"num_unique_values\": 181,\n        \"samples\": [\n          0.5352,\n          0.5537\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Entropy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2963337197779121,\n        \"min\": 18.0743375255343,\n        \"max\": 19.3634101823373,\n        \"num_unique_values\": 188,\n        \"samples\": [\n          18.1897280342732,\n          18.1094095841566\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ZXAXjaxjjSlb",
        "outputId": "73f18a32-7183-435e-d3ce-d213904ec71b"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    list of trials                         image name  fatigue level  \\\n",
              "183  Ahmad_trial_1  /content/image_data/1_cropped.png              2   \n",
              "184  Ahmad_trial_2  /content/image_data/2_cropped.png              2   \n",
              "185  Ahmad_trial_3  /content/image_data/3_cropped.png              2   \n",
              "186  Ahmad_trial_4  /content/image_data/4_cropped.png              2   \n",
              "187  Ahmad_trial_5  /content/image_data/5_cropped.png              2   \n",
              "\n",
              "     mental fatigue  class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)      RT  \\\n",
              "183               2                                              1  0.5664   \n",
              "184               2                                              1  0.5150   \n",
              "185               2                                              1  0.5259   \n",
              "186               2                                              1  0.5095   \n",
              "187               2                                              1  0.5094   \n",
              "\n",
              "       Entropy  \n",
              "183  18.189728  \n",
              "184  18.286257  \n",
              "185  18.136463  \n",
              "186  18.316950  \n",
              "187  18.170609  "
            ],
            "text/html": [
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              "        vertical-align: middle;\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>list of trials</th>\n",
              "      <th>image name</th>\n",
              "      <th>fatigue level</th>\n",
              "      <th>mental fatigue</th>\n",
              "      <th>class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)</th>\n",
              "      <th>RT</th>\n",
              "      <th>Entropy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>Ahmad_trial_1</td>\n",
              "      <td>/content/image_data/1_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5664</td>\n",
              "      <td>18.189728</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>184</th>\n",
              "      <td>Ahmad_trial_2</td>\n",
              "      <td>/content/image_data/2_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5150</td>\n",
              "      <td>18.286257</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>Ahmad_trial_3</td>\n",
              "      <td>/content/image_data/3_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>18.136463</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>Ahmad_trial_4</td>\n",
              "      <td>/content/image_data/4_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5095</td>\n",
              "      <td>18.316950</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>Ahmad_trial_5</td>\n",
              "      <td>/content/image_data/5_cropped.png</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5094</td>\n",
              "      <td>18.170609</td>\n",
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              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "\n",
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              "        document.querySelector('#df-84017ed7-f39b-454e-a8aa-a68cada0c1d8 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-84017ed7-f39b-454e-a8aa-a68cada0c1d8');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
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              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ff8c54bc-f8b0-4ec6-bfca-c67e2d6d8a99 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"list of trials\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Ahmad_trial_2\",\n          \"Ahmad_trial_5\",\n          \"Ahmad_trial_3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"/content/image_data/2_cropped.png\",\n          \"/content/image_data/5_cropped.png\",\n          \"/content/image_data/3_cropped.png\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fatigue level\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 2,\n        \"max\": 2,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mental fatigue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 2,\n        \"max\": 2,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.02396920941541462,\n        \"min\": 0.5094,\n        \"max\": 0.5664,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.515\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Entropy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0776587478349971,\n        \"min\": 18.1364632593569,\n        \"max\": 18.3169499528159,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          18.2862568407028\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import random\n",
        "from PIL import Image\n",
        "\n",
        "# Randomly select an image name\n",
        "random_idx = random.choice(df.index)\n",
        "image_name = df.at[random_idx, 'image name']\n",
        "\n",
        "# Load the image\n",
        "img = Image.open(image_name)\n",
        "\n",
        "# Plot the image\n",
        "plt.imshow(img)\n",
        "plt.title(f\"Image: {image_name}\")\n",
        "plt.axis('off')  # Hide axes\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "ZjzTldGTbRDQ",
        "outputId": "fe5bd1d0-4f4e-4d8d-d4eb-501056d92e4d"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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ge9u3b+/6+/HHHwfkA7cU5ubmVh2IC8OQL3zhC7z1rW/Nlj3xxBMA7N69e8nvqQH36quvXvDZzp07+bd/+7euZYtdy/7+/q5rthT27duHEII3vvGNvPGNb1x0ndOnT3e9HJs2bVqwL2BF+wPpA//3//7fr2jd+ftSA+vGjRsXXd55DA899BC/93u/xz//8z9nfmuFubk5oH2t5z8TpmkuILLHH3+cRx55ZMG1Vjh9+vRKTinb544dOxZ8Nn+yA/DpT3+at7zlLXzve9/rioXMf66XQrPZ5K1vfSsf+tCHOHbsWJf/Wl0HhcXuzfvf/36azSave93reN3rXgdIot62bRt/+7d/mw0qnucRBMGix9BqtboG87PhiSee4Md+7MdWtO6WLVu6/l7t+6PrOlu3bu1adtVVVwEsiOMsds+uuuoqPvaxjwGre58OHTqUTXw6sdhxL4XVHPvZ3tul3gW1bKUTE4U1IQrDMFa1vPPh/uM//mPe+MY38vM///O8+c1vZmBgAF3Xec1rXrPiQFAn1Hfe/va3c+ONNy66TifDrhT/9m//RqVS4Yd+6IdW/d3VYKlrthKoc3/d617HnXfeueg68x+cldyjpXDgwAH27t3Le9/73hUd37k+J7Ozs9x+++309PTwpje9iW3btuG6Lt/5znf4L//lv5zzc3Lddddx9913L/r5fPJaC3zpS1/ih3/4h3nuc5/Le97zHkZHR7Esiw996EMLkh+Wwq/92q/xoQ99iNe85jU861nPore3F03T+I//8T92XYel7k1vby9/93d/x+HDhzl48CATExNMTExw6623Mjw8TF9fHwCjo6PEcczp06cZGRnJvh8EAVNTU2zYsOH8L8giWA0BPdk4l/fpqcL5vLfnggueHvuJT3yCH/iBH+CDH/xg1/LZ2VmGhoayvycmJnj44YcRQnTNvvbt29f1vW3btgHQ09PDC17wgjU7zs985jMLXCxqXw8++OCSD8zExAQAjz76aObWUHj00Uezz1eDpWafajZiWdaanvtS+/vMZz5Db28vz3nOc9ZsX4vhi1/8IlNTU/zt3/4tz33uc7PlBw4c6FpPXct9+/bxAz/wA9nyKIo4ePAg119/fbZs27Zt3H///Tz/+c9f8Wx+Mah9Kku2E/NrSf7mb/4G13X5/Oc/j+M42fIPfehDC7671DF94hOf4BWveAXveMc7smWtVovZ2dmu9c52bzZt2pTNSmdnZ/n2t7/dNetXk6xvfetbXZOjb33rWyRJsuQkbDFs27Zt0WyilWC170+SJOzfvz+biQM89thjAItalfPx2GOPZeut5n2amJhY0TOwHFZz7GdD57swH4stOxsueIKyYRgLWPDjH//4Al/6nXfeybFjx7rS0lqtFn/+53/etd6ePXvYtm0bf/qnf0qtVluwv87UT1h5euxnP/vZBWmxP/iDP0i5XOatb33rgmIldU7PeMYzGBkZ4X3ve1+Xq+Fzn/scjzzyyDkV7hUKBYAFg8PIyAjPe97zeP/738+JEycWfG/+ua8UxWJxwb5AXpMf/MEf7IoHPBlQs6fO5yQIAt7znvd0rfeMZzyDwcFB/vzP/5woirLlH/nIRxa40l7+8pdz7NixBc8PSPdOvV5f0bGNjo5y4403cu+993a5fr7whS/w8MMPLzgPTdO63KsHDx5ctLBuqWu+2Pvyrne9a0Ga8Gruze/+7u8SRRGvfe1rs2V33HEHAwMDCyyS9773vRQKhVU9tz/2Yz/G/fffv2jK8NlmwOfy/txzzz1d27/nnnuwLIvnP//5Xet98pOf7BpnvvGNb/D1r3+dF73oRcDq3qcf+qEf4mtf+xrf+MY3uj7/yEc+suB7J06cYO/evYRheM7HfjZs2LCB3bt381d/9Vdd4+C//Mu/8MADD6xqW3ARWBQvfvGLedOb3sQrX/lKbr31Vh544AE+8pGPLPDV/ef//J+55557+Imf+Al+4zd+g9HRUT7ykY9kAS41A9N1nb/4i7/gRS96Eddeey2vfOUrGRsb49ixY9x333309PTw//7f/8u2e80113D77bcvG9A+cOAAjzzyyIKXpqenh3e+85286lWv4qabbuInf/In6e/v5/7776fRaHDvvfdiWRZve9vbeOUrX8ntt9/OT/zET3Dq1Cn+5//8n2zevLnr5VwpPM9j165d/PVf/zVXXXUVAwMD7N69m927d/Pud7+b5zznOVx33XW8+tWvZuvWrZw6dYqvfvWrHD16dNH6lLNhz549vPe97+Utb3kL27dvZ2RkhGc961ncd999vO9971v19laLW2+9lf7+fl7xilfw67/+62iaxoc//OEFg4xt2/zhH/4hv/Zrv8Ydd9zBy1/+cg4ePMhf/uVfLohv/czP/Awf+9jH+MVf/EXuu+8+nv3sZxPHMXv37uVjH/sYn//853nGM56xouN761vfyl133cVznvMcfv7nf57p6Wne9a53ce2113a9pHfddRd33303L3zhC/nJn/xJTp8+zbvf/W62b9/O97///a5t7tmzh3/8x3/k7rvvZsOGDWzZsoVbbrmFF7/4xXz4wx+mt7eXXbt28dWvfpV//Md/7IrnNZvNJe/Nn/zJn/Dggw9yyy23YJomn/zkJ/mHf/gH3vKWt3DTTTdl63mex5vf/GZ+5Vd+hZe97GXceeedfOlLX+J//+//zX/7b/+NgYGBFV0bgN/+7d/mE5/4BC972cv4+Z//efbs2cP09DSf+tSneN/73scNN9yw5HdX+/64rsvf//3f84pXvIJbbrmFz33uc3zmM5/hDW94w4J41Pbt23nOc57DL/3SL+H7Pv/jf/wPBgcHef3rX5+ts9L36fWvfz0f/vCHeeELX8hv/MZvUCwW+cAHPsDExMSCe/u7v/u73HvvvRw4cKDLUljNsa8Ef/zHf8xLXvISnv3sZ/PKV76SmZkZ7rnnHnbv3r3oJHpZrCZFaqn02GKxuGDd22+/XVx77bULlk9MTIi77ror+7vVaonf+q3fEqOjo8LzPPHsZz9bfPWrXxW33377gpTM/fv3i7vuukt4nieGh4fFb/3Wb4m/+Zu/EYD42te+1rXud7/7XfGjP/qjYnBwUDiOIyYmJsTLX/5y8U//9E9d67GC9Nh77rlH9Pb2dqVcduJTn/qUuPXWW4XneaKnp0fcfPPN4v/7//6/rnX++q//WjztaU8TjuOIgYEB8VM/9VNdqXlCLH0t/+AP/kDMv1Vf+cpXxJ49e4Rt2wtSZZ944gnxsz/7s2L9+vXCsiwxNjYmXvziF4tPfOIT2TqL3Ush2mmKnXUpJ0+eFHfddZcol8vZ9VI52vPz7NV5LJYe+/a3v33RfX384x/vWr7YsX35y18Wz3zmM4XneWLDhg3i9a9/vfj85z+/4FiFEOLP/uzPxMTEhHAcR9x8883iy1/+stizZ4944Qtf2LVeEATibW97m7j22muF4ziiv79f7NmzR/zRH/2RmJubW3Bey+Fv/uZvxDXXXCMcxxG7du0Sf/u3f7vgOgghU6x37NghHMcRO3fuFB/60IcWvb979+4Vz33uc4XneQLIUmVnZmbEK1/5SjE0NCRKpZK48847xd69e8XExES2znL35tOf/rS4+eabRblcFoVCQTzzmc8UH/vYx5Y8rw984APi6quvFrZti23btol3vvOdXenUK8XU1JT41V/9VTE2NiZs2xbj4+PiFa94RZaOu9SzoLCa9+eJJ57IamTWrVsn/uAP/qArBb/zeXzHO94hNm7cmNWtqHqkTqzkfRJCiO9///vi9ttvF67rirGxMfHmN79ZfPCDH1w0fXyxZas99vmYPw4IIcRHP/pRsXPnTuE4jti9e7f41Kc+JX7sx35M7Ny5c9HrvBRWRRQXI975zncKYMFDs5Z40YteJF72spc9adu/FPFLv/RL4qabbrrQh7EixHEsBgYGxKte9aoLfShPCS6le7OWWGqiNR/LDbYXCis99rXADTfcIF7wghes6jsX3PW0GjSbza6siFarxfvf/3527NjRlfK51nje856X5SnnkLjxxhtXnBb7VKLVauE4Tpeb6a/+6q+Ynp5eIOFxueJivTc5nlqEYYimaV1xqi9+8Yvcf//9vOUtb1nVti4povjRH/1RNm3axI033sjc3Bz/+3//b/bu3btowGgt0emzzCHxC7/wCxf6EBbF1772NV772tfyspe9jMHBQb7zne/wwQ9+kN27d/Oyl71sVduam5s7a2HZ+vXrz+dwnxQ8Vfem2WwuqN2Yj4GBgSUL93I8uTh27BgveMEL+Omf/mk2bNjA3r17ed/73sf69esXFPWeDZcUUdx55538xV/8BR/5yEeI45hdu3bx0Y9+lB//8R+/0IeW4yLB5s2b2bhxI3/2Z3/G9PQ0AwMD/OzP/ix/8id/suoB6zd+4ze49957l11HPEl565cC/vqv/5pXvvKVy65z3333XTGW3MWG/v5+9uzZw1/8xV8wOTlJsVjkrrvu4k/+5E+6kh9WAk1cyU96jhzL4OGHH+b48ePLrrOW9SqXGk6cOMFDDz207Dp79ux50uXIczz5yIkiR44cOXIsiwtecJcjR44cOS5u5ESR44rC7Owst9xyCy996UtpNBqAFOobGRnhH//xH3njG9/IxMQEn/3sZ/nXf/1X7r33Xh5++GF+4Rd+gRtuuIGvf/3r3HvvvYyNjfHtb3+be+65h/Hxcfbu3cvx48e56qqrePOb34wQgl/8xV9kz549NBoNPvaxj9HX18e3vvUtXvWqV3HdddfxrW99iw984AMMDw/zve99jze84Q2ZVM3U1BR33HEH/+E//Iclxfly5HiqkBNFjhwpNE3jh37oh9B1nXvvvZf/9b/+F3/6p39KpVLBtm1mZ2f5+7//e/7qr/6KVqtFq9WiVCpRqVR4+9vfztTUFJqmdQW4O/+vUnYty2Jubo7PfOYz/J//839IkiTLrjp16hSvf/3r+Y3f+A0efvhhXvKSlzzpEik5cpwN+ROY44qC4zi88pWvpKenJxuAd+zYwWtf+1q2bNnCpk2buPfee/n0pz9NGIa84x3vYM+ePYyOjjI0NESj0eA1r3kNDz30ED09PbzwhS/kN3/zNwnDkFKpxC/90i9lkhQ/9EM/xPXXX49lWezatYvf+q3fYsOGDfyX//JfWL9+Pc1mk9/+7d/mgQceyBSNN2/ezItf/GIefvhh7r77bn70R3807xmd44IjD2bnyDEPQioWIIRA1/XMElCy06qPtUKSJAvWXcn2O7cVxzFvfOMb+dSnPsUXvvAFRkZGVry9HDmebOQWRY4c8zCfCBSWmtmvdsa/2PY1TePWW2+lXC5TLBbPqy9JjhxrjdyiyJHjIsD81zC3JHJcTFi1RfHtb3/7yTiOHDly5MjxFGHPnj2rWn/VRHE2SYMcOXLkyHFx40knitxTlSNHjhxXFvK8uxw5cuTIsSxyosiRI0eOHMsiJ4ocOXLkyLEscqLIkSNHjhzLIieKHDly5MixLHKiyJEjR44cyyInihw5cuTIsSxyosiRI0eOHMsiJ4ocOXLkyLEscqLIkSNHjhzLIieKHDly5MixLHKiyJEjR44cyyInihw5cuTIsSxyosiRI0eOHMsiJ4ocOXLkyLEscqLIkSNHjhzLIieKHDly5MixLHKiyJEjR44cyyInihw5cuTIsSxyosiRI0eOHMsiJ4ocOXLkyLEscqLIkSNHjhzLIieKHDly5MixLHKiyJEjR44cyyInihw5cuTIsSxyosiRI0eOHMsiJ4ocOXLkyLEszAt9ADlyPJkQQqBpGkIIhBALPpv/t/rRdTmH0jSta53Ov9X/1fbnr5sjx+WCnChyXLKYP9DHcUwURURRRBiGBEGQ/R1FUbb+/O91LtM0DV3XSZKEJEkywugkHCBbxzAMTNPEsixs28ayLEzTzH7U9xVyMslxKSInihwXNebP1KMowvd9fN+n1WoRBAFhGBLHMYZhYFkWuq6j6zq2bVMoFLAsK1u+lEXQ+btz3/P/37ksSRLiOCYMw+wYarVa9v8wDDPisSwLx3EoFAo4joNlWRiGsfYXLEeOJwE5UeS46KBpWkYI9Xod3/cz6wDIBl3Xdenr68M0TQzD6Jq9r8XMfaXb8Dyv6+9OUukkk2azSbVaZWpqijiOEUJg2za2beN5XkZqhmEsavXkyHGhkBNFjguOJEkIwxDf92k0GlSrVUASguu6lMvlzK2jrIWLGZ0Wiq7rmKaJ4ziUSqVsnSRJulxkzWaT6elpwjDMSMN1XVzXxTTN3GWV44IiJ4ocTzniOCYIAhqNBvV6nVarhRCCUqlEoVCgt7cXx3EuekI4HyjXmG3bFItF+vv7gbZrrdFocObMGaIoylxq6vrYtp0TR46nFDlR5HjSIYTIBsDZ2Vnq9TqGYVAsFhkYGMhmzTnIguDFYpGRkZHM2lKkeubMGZIkoaenh/7+/kVjLzlyrDXytzPHkwIhBL7vU6vVqFartFotCoUCfX19rF+/HtM085TSs0BdH2V59PX1dV3XkydPZte1t7eXYrGIYRj5Nc2x5siJIseaQQ1i09PTNBoNNE2jUCiwbt06XNdF07RFs45yrByapmWxi8HBQeI4ptlsMjs7y/Hjx3Ech3K5nAX582ucYy2QE0WO80YQBExNTVGv19F1nd7eXoaHh/OB6kmGpmmYpkm5XKZUKiGEIAgC5ubmOHjwIADDw8OUy+U8FTfHeSEnihyrgnKHRFFEpVKhUqnQbDbp6+tj48aNeaD1AkFZa8raGBoaotFoUKlUmJycxPM8enp6KJVKl3WSQI4nBzlR5FgxkiShXq9z+vRp4jimVCoxMjKC67r54LNKdKbQqjTaTiRJ0iUpsloYhkG5XKZcLhPHMY1Gg8nJSY4fP05vby99fX0L6j9y5FgKOVHkOCvCMKRSqXD69Gk8z2NoaIhyuZyTwyqh63qX5IciifnFgtCu+hZCZLUW6u/VopM0giCgUqlw5MgRLMticHAwC4LnyLEUcqLIsShUYHpycpJqtcrAwABbt27FcZwLfWiXFFQcQRUMKi2ozpTWpVx1ihRU3YmqUA/D8Jwrt23bZmhoKHNNnTp1ihMnTjA4OEhvby+WZZ3biea4rJETRY4uKPfSyZMn0TSNwcFBNmzYkM84zwGqVsTzvHMSCFQihKq2wnXdrKai0WiQJMl5HV+hUGDLli1ZMsK+ffvo6elhaGgojzXl6EJOFDkASRDT09PMzc1hWRajo6MUi8V8sDhHKJIolUoZyZ7Ltez8jq7rOI6DYRgkSUKj0ViTY7Vtm9HRUUZGRqhUKhw6dAhN01i/fj2lUil/BnLkRHGlI0kSZmZmmJycxHVdxsbGcBwnHxzOE0q59nxIYj46LYxisUgURQRBcN7bVTAMg/7+fnp7e7usynXr1uWEcYUjJ4orFEII5ubmmJycxLZtNm/enBPEGkFVUz8ZdSRqe7Zt4zjOecUrloKu65TLZYrFItVqlePHj2OaJuvXr6dYLK7pvnJcGsiJ4gqDEIJqtcrp06exbZvx8fGsajrH2kBlNz2Z11SJChqGkcmvPxn76O3tpVwuZ5lStm2zfv16CoXCk7LPHBcncqK4QiCEoFarMTk5iWVZjI2N5Xn0TxIUUTzZUFbFuabNrhS6rtPX10dPTw+VSoVjx45lFkb+DF0ZyIniMocQgmazyfHjx3Fdl9HR0fzlvgyg0m49z8P3/SfNquhEJ2HMzc1x4sQJHMdheHgY27af9P3nuHDIieIyRhiGnDx5kiAIWLduHeVy+UIf0hUB1dnuqYDq1f1UEIWCruv09/fT19fHmTNnOHDgAIODgwwMDORFmJcpcqK4DKFSXc+cOcPAwADj4+N5DOIpRBzHtFqtrgpsWHu1XFXVrXpSPFXk1Ln/4eFh+vv7OX78OLOzs4yOjlIoFPLn7TJDThSXEYQQNBqNzCWwbdu2i77SVrU2VRlCSZJ0yVc8Gb53NYgt1/BHaS0thbN91mw2ieMYz/Oy2gc1217LQbQzw2otU2VXA9M02bhxI81mk6NHj+I4Dhs2bLjon70cK0dOFJcJoiji+PHj+L6fBaov5lmdYRg4jpMNcvOJQvWTbrVaa+pWURXOhmFkg/f866Q68i03Q1efCyGI43hBQDlJElqtFmEYZtIdKvi8lrUVIIParuue9ZiV8q+yRJYKuCuiXo2FonqPbNu2jbm5Ofbv309fXx8jIyMX9XOYY2XIieIywOzsLKdPn2ZoaIjx8fGL2k+s6zqu62a9n7s1j6Bzop4kCYVCgUajkc3Qz2e/nud19ZxebgA7myXTqeyaJAlBEFCtVheQmiIR3/ezlFZ1/mvRwlQpz3qeRxRFi1ZrK/eUEiRUP8sRRRRF2c9q9KUMw2BgYIBSqcSZM2fYv38/Y2NjuK57XueZ48IiJ4pLGCpYHUURW7ZsuSRMfc/zKJfL2bHKamP5mRAaINLlZDN+NajV6/Vzsi4Mw6BQKFAqlbLe3CvRWVophBBYlrWswquyPJrNJkEQIISgWCyuWb9r27azam11jRRBOI6TWTKdBLncftX96ezZrbKrVkIYShakXq9z+PBh+vv7GRwcvKgnMTmWRk4UlyBUVfXp06cZGBhgcHDwkjDvTdOkUCh0EJqGEAZhWCYMBxHCABJMs4ZlzaLrrcxNoiqCa7XaqiwLTdNwHIdisbjKSunlBsPubXRWS7darbMeXxzHWTdAVbh2PvdPSXs4jkNPT09GFCqYPp8gVrpN6CZr3/dpNpu0Wq0VuaU0TaNUKrFt2zZOnDjBgQMHcuviEkVOFJcYwjDk2LFjRFHExMTEJSP7rWkanud15NtrJIlHqzVGrbadVmsUMACBaVYoFA5RKj2KaVYy66JQKBDHMbVabcX7VSSxUmurbd2YCGGTJCaSGASaFqPrPpoWs9iYqwbVlRCZmqWr2MX5Qg3snudlM/6V9yefT4oL11XXX6ngrsYVaBgG4+PjzM3NZam0Q0NDuXVxCSEniksEQggqlQrHjx9ncHCQ4eHhS8KKULAsq6MTnkaSONTr26hUrsf3RxCi/SiGYR9BMEgce/T0PIBlTWcFZoVCgSAIVpThoywRRabLxyQANOK4QBAMEob9hGE/cVzIyMMwmtj2GTzvGJY1g6Z1D7DKRRaG4Yquieox0ZlCez5YeRquPG7p6tM6CFFgGAEQdRBh2xIRQnTFd2q12qqy0np7eykWixw9epQnnniCjRs35tbFJYKcKC4BJEnCiRMnaDabl2TzIJXC2Z7VG7RaG6hUrqPVWg9I8uj4BnFcola7Bl0P6Ol5AMOoZdspFotZ57eloAK8SujwbIOnEBat1ij1+jZarQ1EUZkkcboITNNiDKOB7x+gt/e72PZURhbKRabcWysZQFXc4qmGEJKog2CAMBxISbkAJDjOJI5zGtOsYJoNoG09qWtoWRbFYjHLSlsNTNNkYmKCSqXCwYMHWb9+Pb29vZfUpOdKRE4UFzmCIODIkSMUCgW2bt16SZrrhmFkKakAUVSkXt+B769jIUkoaERRiUrlWgyjSbn8MJoWZGmYakY7PxtHDdie52W9IFYyww6CIaann4Pvr0tjJSw4LiE0oqiHWu0aNC2mr++bWFa1a9/KOljNTPvJ1GlauC9IEo9q9RoqletTQrRQ51qvhxhGHdc9Tk/PQ7juMYSIFrixFFl0Bs9XCk3T6O3txfM8jh49SqPRYP369Zfks32lICeKixjK1bRhwwbK5fIlO+tS6ZgSGmHY1+FuWv6coqiHen07jnMaxzmBppEFgQ3DoNVqZdlGKv20sz5jpddMCC2NS6jBanHyAkgSG99fRxSVMM1q14xb1Uz4vn/WfXZWVT8VEELGXprNcarVXQTBUPpJ+1yTxCFJbKKomFpQVSxrZtHtqbau51rnouTtT548yYEDB9i4cWOuGXWRIieKixBCCE6dOkWlUmHz5s2XtB9X1U20XTIaUVRMXR1ngwbotFrrqNe3YppzGEY9G/xd18WyLOI4JoqizPVzLgVttj1LsfgoSWIRhn0d+18cSWKTJAtdgCoWE0XRsm4lZfU81fc2CAaXJIk2ZNyi2dyE655IyTBcsO5aqOTqus7o6Cizs7McOHAgmxTluLiQE8VFBpXVpOs6W7du7ZiJrz3mS1l0BkM7XTaqSlf9rMZVomb43YO2xtksic51k8SjXt+OZc1RLD6Wpc1CO4DcORNdveWloesNyuVH0PWIRmMzQdBPHJeWtHp03UfXu2MkncVvqjJ7ft2BSjUtFAp4nreEa0x0WDgGmpagadGC4PlqIAsDXZrNCVqtsRVYc9L15/vDFApPLHquq025XXJPmkZ/fz+u63LixAnq9TojIyO5K+oiQk4UFxHq9TpHjx5laGiIgYGBNdcEUoSg0jiVjMN8OQeZYWSg0kLb+kvtil1VcbwceViWhed5a1IIGAQDzM1dj6bFFAr70fUASNLjzY78vPZhmhXK5YfwvKP4/hCt1jjN5nia+dTetmH4FAqHsazZRbdjWRblchnHcWg2m1nNgXJNLU6eKvNKT62aXnx/A1FUwjCauO7RNHjemZG0GmiEYT+Nxibi2GMl10oIgzj2EGLh/eusTF8reJ7HxMQEx44d4+DBg2zcuPGSKCK9EpATxUWCmZkZTp48yaZNm86p3WTnDG8+GajfKge+XYAFyr0DBkKYaWCzW0pD08CyYmw7AGIgoVO8LwxDwjDMlkG7uG4xuQw5Q16N0qk8Rt9fz9TUrdTrm7HtM9j2DKZZxTAaGEYrdY+0K7tXd/3kb11vYttNbHuSQuEAYdhPFJU7Atyg6wGOcwrDaCzYjwpkd7qW5gfbOy03GTcA0ImiHhqNTbRaGwiCQaKolySx0LQI256mWNyX1pZUV2VdyAHdodmcIAjWsXJCFel+Fr9XSupjLWEYBhs3bszkPyYmJi5p1+vlgpwoLjCEEExOTjI3N8eOHTtW7GpSFoKyBjqF9ToJYr5bKf02auYax4VsMJQ/RRYvuGpimhUsawbLqmAYdSwrwLISHMfJNI/UoNjpv+7et8CyKphmhTDsWXRfS5wx0h3SR63Wi64HGEYD06ximjLgatvTWNYUllUBwnOaectjFUCMYdQxjIXaSe11l9vG/O3Jc5DXR9UvaMSxRxSViKI+Go0JGo3NRFEJSd7qOxat1hhRVCJJHMrlB7Gs2VWdXxy7aRqsw0qvuabJlOClqtTPJkJ4rlDy5a7rcujQIcbHx/Ne3RcYOVFcQAghsirrrVu3njUwqIrOVLaJ+um2EubLS9DhNtFIEpcoKhMEAwTBUJpH308ceyTCRmgmGKI9TgEkoCUJughSgpjDcSZx3WPY9pl0Zi0W+JQXc51pmsA0Z3Cc4/j+SEdAeHWEIbNzHMKwH0gy4nCcSYrFfXje4TTw3f3tztn9fLfJ/AH+XD1/3ZttZ1NJi80hSVzCsEyS2IThEL4/kpJ0KXXzzN+xJJso6qVa3YWut+jpeaArVnM2JIlNHLuLbPvcEYbhiiyKzhoT1Tej03W5FMrlMps2beLw4cOMjIzQ39+/ZseeY3XIieICIUkSDh8+jGmabNq06ayBO9X2UmUQKWuhE2r22jlQyQHKIooKBMEwrdZ6gmA4tSKKCEywNehPYCCGXh/6Y7A7NhJoiCmTeNImnvQIGkM0mxuxrM247gkKhUM4zkkMo4l0Vyx3JhqG4VMsHiBJCjSbY2mW0VL1FItggV9cJ0nclAR7CIIB4rhAqfTIou6hMAzxfb9rkFIkrILN3aq2K02xleeXJE5mnclrXyaO3Yyk49jNAuVx7Mwjh6X2pciiTK12DbY9RaFwIJMOX+aoACO936ux4Dr2vMhXlBT7cjEKJSWvUobnE4W6Dyq9eTF4nseWLVs4dOgQSZIwODi46uPPcf7IieICIAxDDh48SE9Pz1n1+nVdz4qbPM+b1/xGSTGQ/pZuDSEMksQjisqEYS9h2J9aECOEYVkOTJoGxQTWxbDNh/EQRiK5rCDA7BgAIg3qOkwZ8KgDB2ySkzZ+dTQlnzE87zCFwiFsezIljKTjOOcjSYmlhuuOUa9vp9XakAZZl6tjSC0dLz3GYgKt9NgaOkSywjoIhqhUdmOacxSLT3RcJ1kJXa1WFwjbKZedut6qknx+ncNS90rVKATBCI3GZlqt0dRCMLMKb0naKklgqXNcDnL9IBii0diM655C1+vLfkNVYbdao6t09QEkaJqKS3VuUywbn1BBeyXrPj+zq1PV1nXdTGwwCIJFLQxVb3H06FF838+L8y4AcqJ4itFqtTh8+DBDQ0P09/cvSxLKilCKq52uJTV7BSONNXgdcYYSYThIGPYSRUWSxEuD1DpYQF8MGwPYHsBEShCFEIwQtAjwgQg5wGqACUUHhm35vSkTDtnwkIM4ZONX1hGG/TSbm3Cck7jucWxbxgp03UcOOO3zkr7vEMuaxTRrOM4pfH+UVmu0w8LoHFCRx1JK4GofdvrQk0AhAV+DqgH7LXjcgTMmRBpBMECzuRnPO4JhtIvffN9fVOG1s891EAS0Wq1FmystLQuu02xOMDd3I63WaOpS60gDPlvsecXjt5wINJubqNdPUSrtA4JlrbgoKhEEQ4tmLy0HXQ8xzeqC1FhgWSvAcRxKpRKu6y6bQqsIxTRNbNvO+o4sRkCWZWUZUUeOHGF8fPy8azhyrBw5UTyFUOmvo6Oj9PT0LLuubduUSqXMiphPENI/30sQDBMEg9mPdMGkpNA5SOlCupSu8uGGFmwNoJyAHoNWB6aBGaAONJBEoWCB5oLWD+UNUO6RFsg1LXjIhX8tkpxw8P31+P46arWdWNYcnncUz1NuqfkuIC0jDMeZxLbPUCw+TrO5kbm5p9FsjtEmCyFdYbtb8MIarI/UJtrnd4MGjzjwryV4woLIoNVaTxT1ouun0TTp7vN9f0X6SsqHHgRB5o7yPA/P8zLCaEOQJBa12tU0Gpvofq2EPA1LSEvIEe3jTpDWUFOXk3ahrZAwtNRqugHTrON5h1maiTR8f4QgGGT1FkySkkTS9V2ls7XYdTRNM3tuFyeIhXEhpeGlyLhSqSy6bV3XGR8f59SpUxw6dIhNmzY9qXVGOdrIr/JTBNXAZfPmzXiet+y6StK5kyQ6CcL3h2k2N+L7G9JMFneRAiqtTRCOgA0R3NSAa30YjKRrSUuQBHEASRItBAnavJdZ0AJqaMwBVWAjGOtgWMAtaVbQvxbhpAmJjBf4vpvO6scolfZSKj22RFqnigOArrcoFA4Sxy5h2EMU9bVXG47h+hYMzSMJ9f+CgN0+JBo0SnDUIo7lTNqyptC0c+/BrTrYqfas5XI5S/ttr2MRhmUkK7SvHOUEdvjy+g/E8m91DSINJk04asmf0yaEKw/qB8Eg9fq21DKbWyRwLyU5ms0xouhcqp319LnSWSpFdj6US2kxKDeYSmCQKc1BOmFoFyu2Wi1ardai90rTNNavX8/k5CQHDx5k8+bNOVk8Bciv8FOARqOxYpIAlmiVqeP70v/dbG7qyBia5+8WpANRShAjkXQxXduCbYEcUOkkiX3AaeRAIDARFIgoEaEjiNGoYdHEICYETgFhurt14JmwpykHvX8pwhlDzoyR8QLfX5dm2+ipCmyDpWa28lRDHOcktj1DFPXKbenI8xiL5BO72Nc15PnuCGB/AKdM4tCl1VqP5x1E1+vnXUmcJAnNZnNBDwk5AHrzZEmEvNbPaMJz6jAYS3KeZ2wQaFDV4ZAF/1KCJ2x5Lc96mDKDrV7fimXNUCrtxTCaKRFrWcyk1RrF90dZVbJAdl46cWyn+lfKDbnMEaWWwWLuuSSRsaNmc2Nm3chEiANpz5Eky45SYoPLqQMPDQ2haVpOFk8R8qv7JKPRaHDo0KEVk4RycXQGAIWQPvfZ2T00mxMdlbXz/d+pW8MVcua9KZSz8IlA+vQN2iTCDPAEMIkiCZeYcepspsYgLUwEITpncHiCHo5TJERPv7tf7l9bByUNnt6U8YKvFGBakYU8vijqpV7fhuOcwvOOLFtsJ9NnG+kMOZGDlCmkFVTs/N4iloGmQSmWZPGYgzhmpD0liqnrqy1Ncq4VxSogPj/bSInpCeVZ0pHuuZsbkuBg4TiryM2JoSeWAflTJsyu3PceRT1Uq7vR9YhCYX9W96Fk0yuV69MU4tUTpEyKKKRWxdlFDpWLrnsbABrN5jiVyo00m6MkiSygazbH8f0hyuWHcZxTaJq8To7j4HnesumzmqYxODiIEIKDBw+yZcuWPGbxJCIniicRzWaTQ4cOMTExsSKSmN8FTs4KjVTIbTf1+laEcFJfdlrSK+PZ0gdeTGAohk2BDPquj2Rcoi3cmqIFHEWShCyoMhCMU2cPZ1hHE7NjIF5HkzIhIQYn8BAkSLI4BpRBK8v9PLMhs5C+UpC+d0GWWxkEQ9RqV2HbUxhGddmZvaaFaeZULE/OBIpCnqMGcsMC6QarAw7Qm66rwXgAoxGcMImiHsKwB9s+k814DcM4r4rihSSjpVbTvJjK5kC6zGD5rFcAGxiOwE3odl8tBw1paQ4xO/s0gqAPxzkDQBSVaTZllXdnT42FJ7PIsaiPhJEW+bkI0R1jartE2xvoVgluZ+NFUZlqdTeNxkTXsUjJ9p0kiUtv7/dSdeAwc0FFUUSz2VyS1DVNY2hIihvu379/RbVIOc4NOVE8SVCWxMTERNYX+WxwHCdLJ1SFWo3GFubmnkartR4h7LZryU6zgDZEkhhGYhhIiaGUBk0XZJoKIESSxEk6A9a9hFzNHOtpYiC6xgyLhE3UqTDLJA4BBhoJkmhKoG0HbOmDv60un6qve9KySA9AdrTbjuuepFTay3KV0zKl1CY7gWICw2F3yi4zwONI95kL7AJG5Ln2JTLQftAinOqh0diWZmHN4jgO5XKZRqNBEATnZFksTM3U0iQCgyxruTeGzaHMzFoxtLNnRy32HYysNkZWUoOsLVHxhSWCyiL9WIUgsn233ZlBMITvD6VS40oeRcvShtWMX0mWzNdmiqIylcr1HSQx3yUlOx1GUZly+QFKpSfQ9Qa2bWfS+p16WQvOPiULIQQHDhzILYsnCTlRPAk4F5JQctzyRdOyvgGVyvXtWaEG9CZytjwWStfGxlC6ZRYlhsUwC5wAml1L+/AZorWAJNTmLBIG8XGICbIZb4CMb4yClhaNDcfSJ28KuK8EtfYBxXGBSuXaLGi9OFloaQ1Ib1tfyUiJMRufYyRRTCOtIx9JWv2ALdfdHsCmEDHl0mhsxrKm6el5GF1vZOnGrVYL3/ez5kcrIQ1VA9BpEcmgsRqU1UKtHf9didcnQrqdmudSHyDdfELYC2sRF4MiiIEYxiOZLl3T4agpU587Eo5Uaq2MZXVbD5ZlZZaZqonoTuG2aDY3U6tdnbqbFiNCDYFFq7WeJLEQwqRc3ptqbkmy0HWdRqOxZLaakvzQNI0DBw7kMYsnAfnVXGOo7KbVkASQ5ZLLl0xmtFQq19FsjkuSsJCxhuta0gc/HMl0ywVupaUgkORwCumyaUMDHGJskmU9JAUiHJJ5364iB+we0Ay54mAsffNTBjzgymBtOpj5vvSb63qA5x1lYTGXThD0EYa98jsa0uXUNVFNaNd6KEwDc8CQdHcNRNL99qhNVC+n0hchxeLjqdSHnvWOUKKGShVXaVapn06hxcV7SOgLpTcauow1RJrMPFvu/ghgLi1mrOvnEk5YGTJrFJkccEsDdvlQjiVBPerI7LXjZhZjEsLMRBFVbEldC8dxCMMwayQ13+0Uhv3U69s6Cv3SVOFiIrO/fE2edwSgEwSDzM3diK4HFIv70HU/U+I1TZNms5mJTy4mv6LcUHmAe+2RX8k1RKvV4ujRoysOXCtompZJHSh/d72+g1ZroxyAHAFXBXBHTZJFoeMlWdGgIpAD8kmkNbEwmyRCJ0oTY8/mTp//TZgC1gGpoKCGnK3eXpf//64nSzOyYrExdN1H06IsiKkm6EliEwQj3emcvYkM9mYHECJJr9MdUQHOAH2ABZYma0a2ufCIQxAMMTd3A0liUyo9nhaSxTiOjuM4XfpDiizU/zuFF1WMo21RiEymoysDLRDS9eZr3XIo8yGQ5PCAKzOf1l5jr70jAzlAb/fhaS3Y2ZKxH2Wp9sRQ16BS6iL3KOohjj00rdsCVEkXqrNg25pQarXjtFrrkDsWMsliIpDktCGUVswjrizePGNArBOGA8zN3YgQJoXCfkyzhmFAsVjMiElJ3c8ndoDh4WGSJOHIkSNs2rQpd0OtEXKiWCMEQcChQ4fYsGHDqkgC2po4yvcdhgM0GptldpMJbAnloHuV31GwLDp+1Oiid/zuHNZV8PkIMvjbDQFUsJjGoYcQc4HPRCDQqGESsJhrZAbp+nHI8lcNpGvs2Q2ZAvqAKwPdqYuk0dgCaPT0fB/XPY6mBak1MUSzOZbGKNKgvZPIwTY7pYTuynFFhBUkgaTmx1AEz67LwXq/TRAMMzfnEYb9eN4RLGsm7Zrno+sahqEsAxa1KJaW7zBSt0nH55EmXUlzuhycF7voCXKwfMiBr3owY6yi6G41SC2y8RCe1oRdLZno0GmNCuQE5DofDtvwoJsZbGHYRxj2YZoVOtNk5wevO7P0wrAvzdBLJw9uIlO0b6tLNQBXyFu2LZAV9d/24KANDQ3fX8fsrEsUlSiXH0mVcpNMUkVV0SsZEaVimyQJYRgyOjrKsWPHOH78OOPj4+eVEp1DIieKNYCawYyMjJxTG0f1AoDy644TBAPy5d7hww/U5W9DgBYgB8N6+hMhZ9ga8nbqyOBuZ+9hH2lNdL/onZjG4fsMEKOzngZmR6wiQmMah4fpo7HoI9NEkpAHDMtj0FKymAjgduTA+bAjB+0suL2VOHYolx/FcU6RJDbV6q523v+S5o2ZnqOKwqqRbhZJWAXQTGlV7PRlvOSbBdhnE82WqFavodGYwDRr2PaZrDLcsuZSRVbZTa6zOHC5wUYIY6E8hgAOW3IAdBsyySCdWBNqcgZ9zIJ9Djxmy2K77gLoNUBKrsOxJIfrWrClwyLt3Jf6//pIkskpE06YaY2Ii++P4LonAT8rkFtqn7KNqrImdEn2V/vw/LpMvFAxbQ2ZhNHblDG3+z2434VTJmHYT6VyHWHYT7H4BK57DNOsIeVgNAxDy+JFyppQxNFoNNiwYQMHDx7k5MmTjI6OruVFvSKRE8V5QgjBoUOHKJVK5ySDrOvS9aEynYJgkEZjMwJbmue312UGj5mAVgGOIwfDOpIglFUB7bfdoFsnXNA9A58PjRCdQ5SZwWGEJh5xtmaAziQuMzjEaItsQdVlHERaFX1ymSKLLQE8ty7dGU/Y6YCopaS4iSAYxjRraTpmubuQsJP/MtjIdFiH7qB8C0mIfcBgu07hmrQy+jE5UxaPO0TVXqJWL63WhlR3qoJtT+I4kzjOCRznDLregrOo4coe4KVUmVVvH7PQ5Pl+qSj98Ne1JFk0dThhwvddOG5JiyIzONaIJVQswgLWhfDchqxzKSbtAXopWAKuDuCQD9MGmi/dga3WGMXifixr+XqKtjWxqV2AWEzk/ieCbgkv9dsRMkNsOJJaYl8swUGLOChRq11Nq7UBzztMqfQYjjOJrjfQtDi7L/Nb+Oq6ThiGjI+Pc+jQIaampnLV2fNEThTnASEEx48fxzRNRkZGzmkbjuNkbTGTRM7EwnBAFsjd2JSmuSlAqyLTQU8js43mkwMsdEV14myDkEaCYBabCjadMh5yi/Pf7vlIkLGKE0jLwmmvbiCzs3b6chbdUB/ID+O4mLooloAxPxisI8mgB0kO6lilE03GKsqA3Sar/hie3pJuj72B9IufMGHKQNRtgmAoExK0rCk870gmn658MIsThp6KL5a6F2vpPzUdvuPBAVumLasAbjXVd1IxnbWEJmRa7o4Abm7K665I4qzfRQa3d/rSJXRETv+lCnFfV5rsQsh0KqVWLK0JZJbepnChzmPnPkHGS3b7kji+XJQWaEtL6y2uJgiGcZyTFAqHcd2jGIZ0o84nDGVpmKbJxo0bOXDgAJZlnVVfLcfSyIniPHDmzBmiKGLjxo3n5AfVNK0rJTYMB6RfV/PkLHy3esFVgVxn7cPqQs4rPCIgEwg/h+8HyGPsBdbTFSspJjKIeb8rXTKL7HdRCGSMYwH3lYARZKZTq2O5jySrYnoMqZ9DZU+tTzWXrmtJnaVDlsz2OWhDQyeOPeJ4jCAYotXaQE/P9ykUDqXWxSKHl7pmllZm1aCppfEZ9aUOa2lNkRJqfywFFG9uygHank+0Z4GBtGY3BpJMI9JmV0O47lF0fWm1WinzPtC2JlThYW9ndttiRJPeIzt1UzlCxjUedmFOz+RggmCQVmsDpdKjlEqPY1nTC7aneouoeo9NmzZx6NChTPo8x+qRE8U5YmZmhtnZWbZt2zYvLXBl+fiKJGTuuU6SeDQam/H9dVBO3SUjEegR0oo4Tnc66MWKGvJYy+kP7UFqNJQuoKPWyvzx7Vj6vLFA+aNGkObJifS3cq1VkBIjOjIbK53Kdro67FgSxkQgZ97f9GR21pwOQgobNpsbSRKbJHEoFp/IOvktOExN9hFf/jy0eX8/CRDIYsNbmvCshqyvWWoWvxw0pEW7NYS9MUwbaU+LdRSLJXR9asmNyqy1IZmMIJBW1HjYrZorZXOR98wGCrQtUC1N4Ajk5KIvhm8V0qwoEFhpBptHFPXQ1/eNBW1hO6VaQGqnjY+PZ3prS4kW5lgaOVGcA5rNJlNTU1xzzTUdldRtHaDO1D1FGvPz8VUVtiQZg1ZrA/X6NuLEg9G0V4STIOsUjrNYttLqsVzyq/p8OaxkxImRZOEjXUMdX7XSavLVDFwCWZNQ10HMl8MoAVuR1sOJdL8BciCaQ2pZ+cgAu+oF3jGb15CB3S2BPC5XdFSUa0h5jHXMzVkI4aQd82rzBiWRpo1eYBJXRXRjIdzQlP7+s8UjlprZg5zZbwpgXZRmYxmE4QBh2Lus+0nJ32dup75YyspkWaoCeZ/2I2tfbGAI2EB7YpGSxWgEz2nIrLEvF6TbUsgTjeMStdoOLGuWcvnBBTL2qgmVKtIrFouMjo5y5MiRvHr7HJATxSoRRRHHjh1j9+7dDAwMLFDK7Ezd68zHB7JAm8rL13U9zRAZY27uBoJgRM4I9zRlEBIfSRJTnIO2wzzoyFmbnf6e/6Ko/S01M45pB8Q7f6CbgFxgEDlLnAcNsBJ5KGdvCdHe9PHUPTQcST92tjGQBLAZ6WaqI4lVyqLLn6PpOY2TzVrnQ6nTPrcuM5K+XJDuopQs5Az2OnS9Rrn8aHrwav8JrjuJ5x2lVissLLxb8UnK35oWoetBmnK7iDrwcjCQVkR5BUFrWcCR/sTIoaCMvH/pF4ciGSNL01ajqAffH8V1j3c1g8q2KDSiqCjjNYq4+pJ5bqcYGUM6gbxPGpLUZ5GkP9x94AOxtI56Y/hCSabupptLEo9KZTeGUadUehRNC7PvqnesU4G2p6eHVqvFiRMnGBsby9NmV4GcKFYBTdM4ffo027ZtY3h4OFs2fx1lNbR1b+YPbnIAiuMCzeZGqtVraLY2IoqazDW/yk+znOaQGU5Lyy2v4KiRL38f0g1TSP9ejCg6A8OdEOnnDeSgGyOzjQLaFdImMoitZoceXQQikL0iWvrqi8qquswSmgjltclCH51ZXsX03AbTY2whB0GBJIizSGOoIO6GUPrGG3rHPkTaQbCHJDExjPbAp2lgWdP09t6PpkW0WuNpu1m7Y8Od6Ly+CboeYBgtDKOBYTTS2o4KcVzE99el7Wz7OsT0lhncIuCILWfevfHSkuwI5H3bT1sY0gLGgAl5vTSkhbU+ktZWU0ulwgeIYy9NI56/cS0VEVQEJ9pV6V2rRnQ/BCGSPHrJZFg6T9UVMr41Z0DFkBX/6YeKvAqFg12Fm2pCNh/Dw8McOHCAqamprJI7x9mRE8UKYRgGs7Oz9Pf3s2nTprPMRtKXJH1DZK9kM50lusSxRxj20mqN0mptIhQ9iD4drk99ywMxaEq/qHYeR+0AA0hf/gDSVXOuJndC++WOkS+3IpdOoijQruHoIAmQL/jJVVYfa5p0Nxy3ZPZQfyzdIYt60VSKlZEeT2n+CktD1TfM6TJ4Pg+m2cCyKktIpMc4zkn6++u0WodptcZotcZSYlH9HEhTOiMMo4Vp1jDNCpY1k5JDFcNopi6UiCSxieMiUdSbxq6GCcO+jr7i845R/XnclPGW3lhmmi3ZhmIWaa12phcnyIE6HUB1TVpxgxFMypTrMOwjinqxrDkWm1RIkuh4xmLkBCG7XzryvhTUh7St3SUIXZHW5lC+G1Pt7QthpNemP82CksekXE/zFW41TWPjxo0cPHiQQqGwKpmdKxk5UawAhmFkfZRvuOGGRUmi/SxqKRkUCMNyqirqZrPMKC4SxyUirUCse4hhXfYr2B7I2fJICHoL+RKf5NysCQ35Mm5IfzoJ4lzNbTUAg3xslBunc7BYxE2iPFTTBnzLk8JzCwb5ZXzl6v9NZMZUKZYFiKVk4WpLfv8sUIXdR2yZEtolzCdSqZETuO6JNBYx34oESDDNOUqlKp53jCAYxvcHCcP+tMqclCCqKUHMYRj1tMubmmG3azYkoTSw7Skc52Q2sVAJD5nI3vzr5CPTSl0Bz6tLC2nB5YiQdS/z3UfKVeeSkexQLDOn9jkQaulxbMBxTqVWRdeVYMG9rxpQ06RHKVtnENiGdKlGtOtihll2IlOKJQEq12Vq8UmrqwfX1dJrqC3oF9IJy7IYGxvj2LFjbNmyJdeEWgHyK7QMOjt2HTt2jF27di3SmEUFq02iqI8gGKDVGiUIBqWYWuKQaCaJbUIPiF4hJ979MfT7MhNoJIS+AKwAtDpoSpOpsYqjVYOtibQeJpAzQyVgp509zKG8SktBJ32P5w1Oy6GlwQlLuo6+5aWid8riau9YdmeLU4lxp60cm+0jne1/oyCP45q034abnLuRpBADRyz4lwLstzsysiTLyX7eT6StXJfejCIMw6jheXVc9yhx7CCEnlYzR+h62JElpYhhIcG29xNjGFUMo4bjTOK6J2g2N1KvbyUI1pEkRsf66XWq65JUvQRuT6RIYxdayMyw+dZRgpyceMBm0BxZj7E1gK8lMNfOBvO8w7jucTrT14TQUwtKaxvVszqcMSXZmOoYHaSba4R2MEMmdSx9cZHHMhTLpIi4fc3alfGd10/LepsvpjpbKBQYGBjgyJEjbN68OY9XnAU5UcyD6t1r23Ym1Ldv3z62b99OqdTtypCNheyUHMbTNo8DxEmJxDNgOEldJTGsa8BwC1HywQnBi8DxwWyB3gRaoDVpy3OEq5gTq5eviJytrUe6EFK/g5rVh5ocuMOOWEFLk77fWJOxgNoSMQQNOfD0J7IAsJjIF1dLd+Omy6N023UNpk0pBfGELftpV3XphtBkCZ9p1rGsKRxnCsc5ga4HJIlDEAykfRBG0kK21CctNOl2+GJajDUaySB0X3qdC4nMFMsaHC2DSJOWw6wuiewRRx6nr74oUoXbI5RKj+B5R1hpBF5LSUbTAnQ9WOJidv5edmsdpBHgusex7TO47nEajc1pH4reVOFVDZbpvfyuJ8X+nlWX2V0Z+QW041Hzj6GFbEhVRMrHmzKleSyEmgOJhu+PUK9vS5tQdbqudJJkXjB/zoC9jrSY+5Wwo4YcelYx/KgYlyYW8U4p167e0Y+DrOhuKXnygYEBGo0Gp0+fZt26dSs/lisQOVGkUMU5iiBs28Y0TQ4cOECpVGJgYKBrfdmDwKNe30K1ei2+PypdDCaywGh3XebnD7SgVEdYM2haBUurYtLAIcClhUZI21crEaBTwyJEX6Q7xHx4yED1UPpTJItiJsiBr6rL4rITltQUqmtSAtvXpD++ZqQ6e9rypRqqk56OHJTdlCgsIdMgHdGuPK6k1cehlnrP0pdcizDNelphexDPO4Jp1tIUU4EQWhrL8Wg2N1Gvb6fVWi8JQ9Pb7oyqIWf/Ju0mToVUAXUlVciBJt1hs4YkxyAlIk36oWx7lkLhAOXyQ9j2FFJj6CzbXICVf2G5Lm7t/wMIDKOVzejjuIDvD9NsbqHZ3EAYDkprLNFk7cFXCtJqvcZfxeFUkS6oMmi90t1zVSALJevSqmg0tmYaTO1D7NbHQtMkJz3gyhTkZzSlS+xcJu8Jsv7mCXtBDEkIgzh2Uyu07apVir9LNajSNI0NGzZw4MABPM/LK7eXwRVPFMpEVY1XOmWkZ2ZmqNVq7N69u+MbIjWxXer17WkLykHASANuAbygBltaiEIVTTuNzhlcbYp+KgzRoFf4lAkpEaGnLpgs2VTTaGJwEo9DlJnEXaRLhIb065aAUWQ2kwekfQQS5CB9xoSDlpSrOGnKfPim3o5LLwgvdAb9kq7ZGUASGRCl07m6Dp3uIRU0nZ85qwFagq6HGEY97Zt9FM87lvbFDtP9yZWliyZG06oUi49h26cza01aGGWEemyF1o6p19MYim6tbCDqPE5NyH3qAaZZx7ZPUywewHWPpkJ0y+s9rQTzByqVRq2Wz5fLVplzKo26U8+obWVEmOYcplnDcU7jeeupVnfRam2QldFCkxbdY44cqD2RXujOeNNSF2cWWehZANtO27q6WYtbFTPp7HUtrTClP6aQTlS+WpC7vMqXZK7kyFZ6r6q6tCKPWt3ZyZAliXS6K9X1c10X3/eXbH1rGEamCTW/p0aONq7oq6IeJNXxTKXTaZpGGIYcOHCAnTt3drW+FEIninqo13dQqewiCNK8bxNpQTyvBldVwTqNph3HYZJ1zLBZVBinwaAIKIkYW4hMWSHS2j8hclI/ptXpIeSbDDFHKrkNyB31IclhABn4SLOM1IB5wpSzuCOWHCjqumqN3fGCJWi6zNmXg3gDXfdRL7lp1rNBUkKJ3xWzv+PY6wiqLoYEw2ikGUMz2PZpHOd06utfTj9JDYhRpurqeYfx/VEajXHCsD/Vh/KytFE5SGjdJIVAI0mthM5tx+iGn2YwKRfYNJY1i2XNYttnsmM8G0EsRgDAgtadqhhTVe7PL8pUtTfziUJJeat068WIQ4gE06yk13mOen0b1erVhOGgfKj22/I5mAg7XD9ng49MWR0BzYL1aUfFoxaEsqGR768jjgtoWiUjeMuawTBaqYRHuh+hZRIpPGHLeMVAJN1iqvnWUrEmRRIPOvKZbuosJsUuM8sWnpfyECzXI911XQYGBjhx4kQuS74ErliiMAyDYrFIsVjMZhFtPX3Zf3fdunUUCoX05ZUvRxgOUK1eQ612VaoYmj60Y6H0Be9opSTxOEWm2CrmuIZZxkWTgTjBTcCKU527dIwROsSpl6ZhSE+QJmLGtTqHKVLFSlVbbWT8YSMyBmG2Yw8zepq1Y0uCOGp1+NsBBLoRouuNdGCcyzJwZFqmzMBRo6zyrytXgtQ0srP6ACH0lCgK3X0YOqBpcbrdBobRSv31SbrNs7+M7fc1xLKmMc0KrnskLerqIQz7SBIvLfTqWUBamhZhmhU0Lejapq77HUQQpamq1bSZkmLUhSS2lFWgBnvV6EgRwXyyUFYDkBHDcoiiCN/3s7iZIg0lS6/6VrcHthjbPo1h1NG0iErlBlklfcqUA/WGtGWuPLuzXH2BdEFVgTIUdUkWbgKhHJSlkOJwh/x3kvYmn2lrPWUnj5zAnDFkr4tCKs9RSKSlMxDLYsz5SDTpNn3MkSm6Sz46XTMEeYapt8DzvOxaLoWhoSH279/P3NwcfX19Z7k2Vx6uSKJQrRtLpdK8bmUSU1NTtFottm/fkfrMLcKwD99fT6OxmWZzY/eL0BfLauqrfbDroB2lxBmuEdNcxyyjiU9fBAUf9AA58+9wowsDDFta+Hb6rswZUCSihzDNBtSQMYgtIPoATQagp0xJDo86kiCmjA4frsjSLC1rBsc5heOcSd0V9Y7eC8oPtXRalBpg5y1lZQPO/AGWBcsW36eaNau/IzStkjbQOZlmSElLIkm8LA21/f04DbZG85Yn6Hpnlfnix6N4obOJkZJoWapxTue6a4VOEvJ9PyMNRRa2bWekAWSVykliU6lcT1wvyPjCdbrUuNJMZIHdcvdOFeXNgjYCpiEzjkpJ2v1OFrs1GhOpBTaHpsl9e94RoqicJiK0O+VlAo+hSJMI0uEni30tcs0E0ioKlnvWRMf9XAjXdbvu31L3RokHlsvljv4wa3svL1VccUShLImFJCEDqUEQcfDgKbZvfw71+lhaYFSm1RpNeyXYdDnkXSEbvTyjCUU/JYkT3CDOcB0zjMYRfSHYDaCKrKOLaCfQGOl7m9arWSXo0WQyUksX6JnbJE1ZFH3SBKnocmb2jYIkiFYam0Cg6y1sexrHOZVmFZ3Bsmaz9qOLDY6dg1yn7Mhy6CxqgnbG2HyobXb+vdQLqypq1bY7IavesyNOrR61zSaLQ1lEbZdQkgjmT+Y7Z/vZHlIi6GyLOt9FdCEGkSRJCIKAIAi6VACUG1USSYVy+WGiqEyttpPkkI121EobKFnI52k5aMiHdBaog27LQsd1kbRQEtV8ahuOc4pyuQrE6HqL3t7vYlnT1GrX4PvriePU0svcXsolle4qRFrFZ8OSq2ht1+P8T9IHplAoYNv2skQBMlNqdnaWHTt2AHRptwVBsKwL63LGFUUUqje1EvJru5pApvY57N17DNd9MY3GHoKgjzgupA/hvAdRpIsmQrixBX0RUEHjNOuosJUqQ0lETwR2C7QaMuu1hcwE6SAKHLJyB80Ew5QTrG6UkfEIXWbrfKMA3/DkSxsDmsAwGjjOKVz3OJ53DMuaTq0G6U5RRc5A1+C3WP/hs71QihTUYK7+Xkw2odM9o7DYwKzkT+a7WNS96iSOhX7k9sA9n/AW+z3/3JYix8XWvZjQGe8IwxAhRPZ8m2aFQuGAVMGd6pGxiq0B9Bh0dwhccuugsvI0pJuonHR9LY4LBMEIcXwQ06xnVkWx+ASWNUezuTFtTjWQ1sd0trdLcd6JAqStaA2E6JxMpJtPF8xv3boYNm7cSLVaZW5ujvXr13dZIs1mk1qtdkWSxRVFFKZpZoFrBUUSQTDC0aMRMzO7GB9/MY2GCiAv8xQXEqn7vzEEPQZtFp0q60STAQKKCTgxsjyihSyRaNL9bsbpjypmC0BL2hI5Mj3WAMoyaF3TZeHalwvSzSRA00Mc5zTF4hN43sG0paff9cLIl0k+8GEY4vs+YRh2+dXXYkBcuq/0yrcdhmEX8ahgrnrRl7NaOgfMToLqtJguV0RRRK0mJV+KxSK6HuO6J7HtKaJmj4xTTBlS00orI91Py3es68KC10HF7XpS6Y52IyFdb6U1H1N43mGCYJAgGCIMB4iiHuLYTWNe5yKiOB86UVQmjouYZnXpw19hkHr79u08/PDD9PX1pW0A5ASmUCiQJAm1Wu2s8aXLDVcMUShrwrbt7O82SQwwNbWNJ554mI0bfwQ5xT/LQ6UJWfG63U9zwyMENUx8+vDxRIKdgBYiLYjlxFk7hVmz7ct6ihYGCTZQlkFE1Yg+JQnDaFAo7KdUegzXPZ412OkMGKuBstls0mw2M4J4MgbNtdpmp19euVjmu7rmQ7mFrrSXuBNRFFGv1zEMA8/z0oruUzSbmxBnDFlLMx6CWQStyPJEodKwl2rKpNbpzIvuTOMVGWG47ini2En1q3qIolJaqLqBIBhAiBW8c8scQxj24/vrsO2pLOX6XOE4DmNjY+zfv59rrrkmI4rOdNvlAuOXI64YoljM5aQyNyqV69m37wl6ep6OZfVx1gdWuZ1GI9m4PqtBiNAQWCQYIs32S+b9LAat+7dAtXaxmMMmwQNRlJXO9zvyZRegaSHF4j56e7+Nbc/QXRSmZTPoIAgykrhUzeZO4sixPKIootVqpUWjOrZ9BsNoEFXLMhvuWh16HGQVf5WFemKK7G1kdp0rF8Vau037ousvhNbxbhhGhGHUse1JlIy676+jUrlB9onP3FKrhZQ3bzQmcN0T2PZkmqBx7pbK8PAwU1NTTE9Pd/XbVrUtVxrOor18ecA0TYrFYmZNAGngepi5uRs5fboX34eBgd2s6OHShKxW3eG3ZSzUdpEZSrGWhiFUoNpg6UQTE/lOmiAciAxo6hpncJmjgGAQLSrDXjcVZ5MkUSgcoqfn+wsqh5UFEYYhtVqNubm5K9a3eiVCCIHv+wSB7K2uNKK0MIZ9tizAjC0Q48g+HQXaQ4FI/59KeDAqXZ6xJpMmjs9X/5WZZbLQbilIq0PNzDVNZinJDKnDlEqPYppz53nWBq3WRubmbsD316XxinPfmlKZPXToUNfkRLk2rzRc9haFSoX1PC97UIWQqX2zs0+nVtvK0aOfZt26Z6LrNss+XRryHepNZABb9UboQIxGDQtf02jpAtcE3UtdUIJ2GwelrqwSUFwQBUhcaJhwSrM5oJWpMQBiPVQLsuBoxgBiPO8ovb3fxXEmgbZSZqebqdFoEATBFe2KuVKhrAqpVzZHobAP3x8hPNEnu/j1xLCpF7gKtD5kcZ1qJ+siCzqHyEhkypBCgyfTISO1FHQ9ymJiK5/Bd6Y9x1jWLKbZkAWC5wxZAFqtXkMcF+jpeQDXPYGuN9N9rbR+pA0l3XP06FEmJiZIkoRWq3VFTrgua6JQcYmFJFGmWt1Fo7GV6emDOE4fxeI4IOTA3RvP6/GbwhAyvXCHD9f6skiovTc0DBJ0ZjWHhjBo6BGOAQUPiNICOyVHoyzjVIZfeJAUoG7DpGHwOD0co49YjKAlvXDUTntNC2x7inL54VS9M15AEo1Gg2q1ekU+0DnaUCm0nmfgecdptY4Q1YqIh11Z5PbCBPoLoI8DQ5AVJppAQRb4KAmOb3tS3G9ePYOsvJ9bIPeyEsg5mUEYltM+G+cLDSFsGo3NRFGJYnE/hcKBNDW8s9gTVkoYGzZs4KGHHmLdunUIIWi1Wpd1QsRSuGyJQpFEsVjEsqyMJJLEodHYSrV6Db6fcPr0N9iy5UfQbE0O/BOBFFDrixc+S7qQBUf9cVvcLFvHBHpJcDlBgaMUcfQquiln814JdJMs2zCL+1mpu8mGhgXThsZjWpm92iB11oMYhcmClOmuaVjWLD09D1EoHEYK6bUDyHEc02g0qNfrOUnk6LIqTLNKqbSXKCrTbG5E3O/KHOxrWzBmQNGU6r9ZkbcmK/snTamx9JVi2ktcQarjet4RHOcUq29bKBGG/TQa29I+22sBWSDr++uJol6azTEcZxLbnsTzjqRV6ysXeLRtm/HxcR5//HHWr19/Rbqd4DIlCkUS5XIZx3EykhDCpNmcoFrdRRj2Mjn5JQaHdmMPluHqFlzfkkQxGC+uO6Mt8X8gbVgM9HOGBt/XpNrshF4jMmPKOngWmG2FCEDGI3wDaobGtGZyWCvwfW2EaTYhxBao98P3PHjQwRANiqV9FIuPo+v1roc9DEMajQaNRiMniRxAO1YRRRG2reO6J+jt/S6aFtGsbSL5SkFqL20OZGJGfyyVeBOk+u9pQ/aoPmJJqyKTapEiip53nFLp0bTz3+qPLY5LVKs7aTQm1ihNVkHO4GSr4QlarTEMo06hcIhC4TCuezQljLNvKUkSenp62L9/P2fOnKFYLJ79S5chLjui6BT6UyShKjd9fz2VyrX4/nqazTM0WifZcu1LZFX1TU35spiLuJxWBA0ZABwjpsYxdAIMJjWXDXqdIT2gR49xrSTTeIo0nZqmM6tZnMblJEWOa33MiE2IaAtUB+CBAnzTQ69GlEqPUi4/1NVARwiRBa0bjUYej8jRhSiKaDQaabZOgOcdRtdbWFaFen0L8dEiyQkHPEfGygzkRKalSTHJsF3xL92cMYbRwHVPUS4/mLk/Vwpp/EoXUas1Tq12NXFcYu1IohPq3beJIotqtUSrNUqpNEix+PiS8vGdVfe+71Ov1xkcHOTQoUNs3br1isx6umyIotPV5LpuR8UwJIlJo7GVubmn0WqNkiSCU6e/yrpn3oz+Ih92tWTF6Uqki5aFgRTtc4iZ5CTTnKHOg1qTkggo621pcQG0MJijQJ0iTXqJRC9J1A+zQ7C3Bx7w4KCJ0WhRKj5GX983s4Ii9TAHQUC1WqXZbF6RvtMcy0MIQb1eJ0kSSqUSliXSFNIpSqVH8P0RgmCYKCoRz5RIxLxB0ARNSzLhRMuaTaVhZlIdrZW7caTr10010zbRaGwmDPvO8cTO8vmCY5LFgUEwwuxsH74/TF/fN3HdE8i2qd1rq4SQWq1GEATYtk2xWGR6eprh4eH5G7/scVkQhaZpuK5LqVTKrIhOeY4w7KNS2U2rtQEhDGq1fWhljeIPDMKNjXNvprLwSJBkMQT0IBglpE5IkxoJp6FL8VoIELGDiItQL8JUEc64aAdseNRGn0mwjZMUe/Z3tOIUWWKWsiRyksixHNSglyQJnufhOA6GEeM4LWz7DEliZ33elWz7vC2kKsDNVFFYVod2t3FdHkJAHBep17enGlDDqW7aamZnHc+4gQzIF1IZeSUe2EytIGXkKHdZx7EmiU2zuRHbnsa2Z9D1xoJjCIIgIwmFkZER9u/fT19fX5e6w5WAS54oVAWqEv2aTxJJUqDR2J6RhBAxp2e/zYa7nom2u7V2JKGe4USTgcCWhxZ7IAbkhwkkNV0+yAq+hnbGRGsZMKWjnTTR5gR6y8cSp3FLp/G8w2kjez87J+VuqtfrOUnkWBEUWYRhmCnOyoK8KJVdr2FZ8yo/u9BOwV56neX279BobKZSuQ7fH2HlXYuy3cvVS4lsf1tOpHTOaNRWna2nOmhTplSnrRkynVwJZnb0sZDFfiNEUQHb7u5Nr7Kb5geuTdOkp6eHM2fOMDo6uqrzv9RxSRNFp1z4wp4SIIRFs7mRavWqrFdBpbYPc4uJ97wy9LfOnyTUGB1oMtdcdZKbNmSjltQnSwxaRYOGhk4k0wljMJot9KSGKeoYwpf+4+J0Kt1cwTCU7kdbnKzVatFsNvMaiRyrhhIQ9H1/gY7W/K56iyn4nivCsJd6fTtBMMQ5kYQuZKB9awC3NWA4JQuv4/lPkNZEXZfv3qwhiwsfceCoKeuXhKYKOAiCfsKwD9s+095VmmK+VPvUoaEh9u3bx9DQ0BVlVVyyRKFEulTjoc7ZjpSuMGk2x5mbu44wHEiXR5xufYOxl94E2/zlu0GuBr4mUwi/5clah3ragznWQAh0w8c0K1jGHIbewjCqGQFY9hy63szMeojStFdJDnHcVnNVefG+7+dSFjnOC0oTSwkwqvdHkYMiD8uyst/Lq/cuBSnfH0V9BMHQuct02EIKcN7UlO9uIR3EOzel+lp4qdLmeCiJZXMglZbvd1Npq3ZWlOyZobSq5MYUmS4G0zTp6+vj9OnTjI2Nrf48LlFcskRhWVYanFvI6tKSGGd29um0WuOZ37XSeAznxiKFZ/Snsq7neRBKlOmIBf9WlM2DlLhf2u1LCqKdxLKmMIw6ECBECyFC4jgiSUKSRBBFIERCHHeL2s3voJZbEDnWGp2qup3PV6cQo23buK6bxjdWP8MyjAa2PUUcF1Kl2VW+fBpSV21bIEliua+rzwykq+qalmy9GmrwkNshbWUQxyWE0LsKBsMwXPY9U93wlBvvSsAlSRS6ruN5XlZIp6DcTY3GRJrhNJbNYAQhk+LbjL/45lRmeY0OpqbLmcoBO22kpoGW4DiT9PZ+h0LhQJYdEoZh5idWD+NivZXno7OPco4cTxU6hRiVNL1qH7xYZ8jFIftDOM4J+vq+ha63aDQ2E8dFVhzI1pAW+pwuA9areQ3SolZGI3hmQ7ZiPSprNoQwiKKetIYjzs75bHL0pmnS39/PqVOnGB8fX8XBXLq4JEUBTdPEcZyuZSo/W7qbukkCBNO1h3Ce5uHu7Fnbs67o8sFrammGhcAwmhSL+ygU9mMYDUD2SahWq1SrVRqNRpfU99kezk7XQI4cFwpKwlzV66wmiULTYlz3BH1936av7zu47jFkL/MVbkMgXbo1/dyKwHVk8HtTKKfHop2JlSRul8TbSs6rv79/QVbU5YxLjig0Tct6BM9HFPVSqVw3jyQgESHT0fcYecENsjn8WiFGShzMGl3Pu2XNptWfLVQQWsl8566jHJcylCyIyghaKVkoAUDbPkNPz/fp7/8axeITqTt2Be+EAI5ZsktfoK2YX7pQTKRMj9nWe4pjmyTpbGQmVhT/M02TwcFBTp8+fQ4HcunhkiMK5S/tDKzJmUGBWm17R0yiLTcwO7sX75oBnI09a1BUl21WznAec1INHGUSJ1jWLJY1h3qaVRZFThI5LgfMrzFYDVlIifEWhcIR+vu/QW/v97DtadoCaEtAIF1Pjzqy/e9qiUJDinqWEhkYX2wXq+yDfiVZFZccUag+ykCH0J9Lvb6DavXaVIWyM24RMR3fz+CdV69dbEIFsY+b8Lgts546PjSMWtqruv3gXey9l3PkWClUTUalUsm0xTpbzZ7Nx9+2Libp6XmAvr5vpW5aZV0s8l1Nk/GJ/bbs8uifg1VhIPWsCktP2FbTIVHFKqamplZ5IJceLimi0DStq0G6EvprNLYwN/e0NEc7fYCEAE3QNE9iPcPEvbEoU+fOBwLVrAsOWfAvpbTbXJso1IxJprfmyHF5QrlTZ2ZmmJ6eZm5ujnq9nqVuzyeN+cShpeUMhlGjXH6I4eF/pr//azjOCZa0LkQa0P6eC4fnN1BaATTkGGCobYt0Mtfe12q7KA4MDFCtVi/7dPVLLutJZVsoayIMB6jXt6eaMarATYANYn3I6fq/MfjiHWjuKrMl0s0s+LuuySb13yhIMzhebLvdC1Reeh6QznG5IUmSrJuerutdBXymaWbpter/ne+AfI8BEkyzQrm8F9OsMjNzC76/jgWFearc4bgpe2NsiKQr6RxfK00jrWFSTZdW53oCaVV4nkelUqG/v//cDuQSwCVFFOqBa1df2zSbm2g2VfBaSPOyN4HtPuG2SaIDsxSvGl7+YZLCmAtnKLEGLV3mXVcMKbV81JKVnscsKQ0wf1NCo9NQU7no7Z4Yufspx+WH+T3N1XOvfku5ELPrR60nf8tBu1A4SJJ4zM4+ve0h6IImq673urA9gJ3nVzgrLf8l3F0r+r7G8PAwR48epbe3d80q2S82XFJEMd/tFIZ9NBobieMC0uUkYF0Etzbg2hbTj36X/hu3o9uLnKZyITV0mDNkgKyiS60mBV+TgeqWJmU56nr7RyzOPJomFu325bourVaLVqt1/hciR46LHPOzh1QFuJo02bad1UJBp3URUSg8QRR5VCpPI4rKLCALZVU86Mqq67MV4C15jLJ9apK4aXzk3KCKEBuNBqVS6Zy3czHjkiMKVRUq+0uMdGjHCNm+9IYW3NIg0hpUjx9l67PuWvgQCWSK3aMOPGLDSUumuWbaTCmUdoyacHR+tsSDKYQs5OmEiq2oh8j3/dyyyHFFQcUpkiTJtKaCIKBYLOI4TmZ9yLhFg1LpceK4SK12TXsimG1MgxYyTlE1oHAujbqkZIcUCj0/K0DTNAYHB5mcnKRYLF6WLuZLhijUTEQ+UBBFBRqNLalWC1IFNiUJygnVh49QHBvFcOzuDQnk4L/Xgc+VpAspVAHws9zgFd7/JDEXPHxKCl3XdRqNxhXbpD1HDuhWs+1Uf5ZQLX+/jxAW1epOhFCS5O1fnDKl2N9wtDL3k4aspSgncm65hvkm5XKZkydP4vs+ruuu3YYvElwyDrXO+IQQGmHYT6s1ChjyLDYF8OwGrItIwpCZh/cy9PTdi5/hGUOKhB2xwVfuJq1dY7HUz4ogO2rN1/VXAXjHcejp6aG3txfP8y7L2UeOHCtFFEXUajWq1WpHPYI03217mnL5obSL3rw4gkhjFYds6RpeqYFeTqCnMwCupx4AFSvRzinOoGka/f39zMzMrPq7lwIuGaLodDuBRhT1pDUTQG8s+12Ph6BD8/gZzEIBu7yIvzBBSoEfsWSMYq0K8DogSWKhlLIiC9VDo1wud8yicuS4MqH6P9Tr9czKlvMngeNMUio9hmlWFn4xBk6kyggrhSmkOkM68iWJ3aE7RSazfi7o7+9nbm7usvQUXBJEoWQ7VCA7SRyCYFAOyAawJYBdflpIo3Hm+w/Ss2XzUv1XZHwiWDogff4Q8353QxGGUuS8XDMlcuRYKZQrqrMRl6y1CCgUDuG6J9I151kVZ0z5sxKLQkO6qNdHUEjQkEShpMZl5pW+QGx0pTBNk2KxSK1WW/V3L3ZcEiOUYRgdsh0aYdiL7w8Dmsyj3hHAoKy6jupNomaDnh0TS1sKGqDNj06vFaQooKaFy66lyGJ+L40cOa5UxHFMs9nMCvZAkoVpVikUjqDrzfbK6pWp6jIRJVzhO2QJGAthKAZdkCQOYThAHLsI0XYPn+vkrb+/n0plEevnEsclQRSdIoBCWPj+KEEwKG/6dl/mU9uyb27tyDG89T3oVgOo0W4QkUJH+inPo1BnORhGM21dujxRKHS+FDlyXOkIw3AR7aQE1z1KoXCwW3FWyY9X9VTifwXQkJLju1pQThDCpNUaJQhGkO4JDcuycF33nCZwhUIB3/cXtFG91HHRE4Vt2x2tTjV8f4Rq9SripCRv+C1N2BCmFkJM9cAD9G6pAd8AvgscBJp0PVz9sVSRbBdjrhEEljWH45xOaymWftCEEJkSZy4WmCOHRJIkmQx/26oQWNYMvb3f6whspxAskb2kqmh9ZC6tIhghg9nPbMCeJrjg++uZm7sx7eUtg9k9PT2Uy+VVxytUe+bp6elVn/vFjIuaKBRJyICvRpK4NJubCIJh2Yxkhw8TgdRu0RKC2cM0Jx+iMBaDVgHOAE8AR8j0YzSkNbE+PH/tpwVIMM0auu4vu5YqRlJ9r3PkyNGG7/u0Wq0OjSg5o7PtMxSL+zHNOsvP8ASSHI4DjwF7gceBadDScWAghqc3YSxECINmc4xa7aqswE/FG9T4sxrroq+vj7m5uXM8+4sTFyVR6LqO67qUSqUshVQIg1ZrjEZjC0niSqtgly/dSAgQc8zu/QblrS6a2e5/Cw3gBFBt78BLYHMoc6rX0KTQNEkUmra4Hawe/DiOaTQa1Gq13JrIkWMekiTp6nkBSuLDx/OO4jgnUR3pFkIgrYjDSJI4ABwC9gOPAkdBa4EuZCOjpzWhNyERUoG6VttJHMvgtiqS7e3tpVAorNi6UOv6/vITxksJFx1RGIZBoVDIbo4MKukEwRDV6jUyiG0hA9gTobzhWh0hDtE4uY/+q0bmbVEgYxWnyMxPA+muGlzDlqiArgcYRoXlKnmiKKLRaHSlAubIkaMbQRAsCGwDWNYMhcLBs1gVFeBo+luJuEXAaWAfGVm4iSzSvb4FLoRhL9XqtTQam7OeNmrSWi6XO8aj5aFpGj09PZeVVXFREYVhGBSLxay+QJp7GlFUola7mmZzk+xvuy6G3S1pEWgRcIqwcog48HEGC4tsOUQ+JGk2gob0U24MJemsWTBZLCkvruQLms0mtVrtsgt25cixllCxik4XlEyXDXGcU1jWDIvLO0dIl3M9W9L+EQiqyLjlQdBqMBhJNYcdPtgQBP1Uq7s6GqBJWJaVeThWQhblcplqtXrZJKpcNETR6RNsp4xqJIlHtborNQkL0J/ATQ2Z6aSFwAkQR5h75DB9V4+gmXrXw9E2GeaAY8gHSMgsqR2+fFDWyKrQdR/DaCxKFurBr9VquSWRI8cKoKq2VW2FGnRNs4JtTy3h4q0iiUK6pgwENjEOMRYJeuZhOAA8AXpNxjlfVJMB7l5otsaYmrqVSuVGwnAQMLJU9p6eHkql0lndUI7jZHHIywEXhdaTyhRQN6Ddua5ArbaDSmU3UdQji2V2t+BpLSipgPVhRDxH9egUG563A5MElwiBRhOTJGMBZXoOAgXQNRiPYCyC0+Ya6L7I+gnTrKIEx7JPhCAMw9zdlCPHKhEEAY1GA9M0Uy+DwDBaOM4pDGMbET0dayfICaGcDJoI1tNgAw0sBE0MTuIxiUtIC+mCMsHeDpuFLNi1gG94+NVRoqiXIBikp+f+NJMxySa0yoW8FJRQYKVSoVBYzMtx7jAMI+txo6A8FnEcPylxz4uCKJTk8GIkMTd3A1HUJ+MKmwOZ0jYY0XYnzRHWJWt7fS5j1NlGhRCdffRyGpc40+nwke6ndYAlyWZdCLYDzXNobNQFgWE0MIwWnUShZkKXY251jhxPBXzfp9lsprVUGrIv/QymWSOKFVGoXHcfiNCAYZo8nSk2UkdHEKFzCpeH6OcAZQJCpJfBBW0jjGjSDTVrwPfcVL12B0Jo9Pbej+OcAuKsAPhsqe3FYpFjx46lbrPzd1uovh6u62JZVlczNNXCNQzDLBFgLbvuXXCiUMGidkGdLKqr17cwN3eDTIVFg75YksTmIK2LaaIC1LWDM7gDBQbMiBuZZhM1YjRKRHybQU7j0c6rrgMBaLaUJR+JZKyjdX6iT5qWYBh1dL21YDtKVvly8VfmyPFUQmVBua6L4ziAwDRrWNYcrWR9upZ6vyMEApeYzdQYp46TThUtEjZRxyRBAIco4dMAjoDmAuthFHh2HSYNOGqRJC71+nY0TdDX9w1sexqQ1duWZS2b2WTbdlYvpca3c4VpmhQKhayHx1LE4zgOjuMQhiHNZhPf99fEwrjgMYq2SallcQnfH6Za3dnucGUJ2BrIuIQrayakZVBDxIL6sRmGdq1jg1ZnlAY2CS4xY9QZxFe6kLTzq9PaBR2ZT106/wupaVEan4jSPrztlopBEOTWRI4c5wE1U1aDnswwbKCRdPSLCRHIZb2EbKCR+RNAjgA6glGa3JhaGgYJggqSLCpyrNkWwLMaMisSUrLYjO+vRwg9E/Y8myaUrut4nke9fu5NkYBFazqW+7Ftm2KxSG9vb0ex8vlh1USx1rpE87vWxXGBen07vj/aPrzhGG5swZDy7/vAFBCStCKapyqM9JhsTGcPIB8Kh4QeQqx0BiHRUTuhIYPa51V4J8PmplnFcSbR9e4YhKq+vtybr+fI8WRCKcyqAlU5MatDkiAqBjTT5mXEaAh6CeglWKyRKgaC9TTZyRw9BMgxYRo4KdNmnTRtdk9TZkcCcVyk2dxIHHsIwYqIAtrFd+fqTVDaU6o2oz2hXnp99bnK1FoLlepVE8VasFO289TnppoRgU6rNUa9vlUW1QlNHuFVvvyxSKU6KsgbC/5cA7vHo9dLGMDH6KAEDdEVzlZL11rkSSpcHuyQF2hvPwiCvPo6R441gHKnJEmCpsVY1iy6iNDmDBljxAAcQMNKs5wWg3RDCTZSy+IXggCp4HBSVm/3x9IFdWNTuqjRaTbH8P31qPfbsqyzjoeu69JoNM55oqhp2oJ4xEq/B90lB+czdq+aKNZSEruzGRGQCnStI457yAZbO62gLCoRP+U+8kHA3GOT9O1aT023qHQ8Ggkwg8NJCoSqVarcIGC282frOrTO5ZzkBjQtwnVPUigcSFVj00/TLIQgCHJrIkeONYDKHpSZgwmGUZPimyGybQAW4AI6MTrRWYY3l5j1NLFTK0Rqwp0G6rKQdyDtczMWggZxXML3R0gSOTtfSe8KXddxHOecq7TVONKZHrxSLOaWOldcUNfT/INPEpMw7CdJOpivmKSSwJ3flBcsCWIqB85QHOulisU+ejhKiUlcDlHiQfo5QSGd42tIkuhDPkxAQ5MdsmZX05tCMYwMXheL++jr+04qK9A9g4miiCAI8iB2jhxrhCiK0nifwDACKedfM2SmUqIBJgKdKiYNzGUFevTUReURp+sJZHptmuJuIKV+dsrYaJLYBMEwcVxIi//O3g1P0zT6+vrOWXr8fDImFbmoZJrzmbCu2hZZS4uik5FlSqwr6yUUK2gCemIop0JemdvIAWyixgx2j4fpOQTAE5SZwcEhpoFJBQsfo+N7/cAIYMnNHbXgYUe2VOyCerxiNE1aDboepEHqBF1vpSqxpygUDmBZM2haTCeH5imxOXKsPVQKaJIIdL2FadYJGoOSKCIDzfAQ2FSxmMViHcu30zZJutzVMv5ZBRLQdFlbMRFAvwtNkzDsJYrKWNbMglqGpVAqlTh16hTr1q07p/EzCIJMF071yjjbhF1pyqkkgEajcV7ZT6smirUs5lCFIwpx7MrYRCecNNicXRcNKAElWmf24w6W0EyZ0eRjcAIv+2p32VsJGAd60367GjzoSrJISGMfADGm2cQ057CsaQzDxzCaGEYFTUvSgp8GpllNXU0quJbusyPTKZcQz5FjbaFmyHEcY5oBpjkLzY0ynbVlgF1E0xyamJyiwCbqFNO6ipUhQsY/fcCUc9Z1keyKd8okjgupwqyOpokVDfwqlhGGYZreu/pzbjabhGFIsVjMumKqfbdd96LLimg0Gpklcb7j0KqJYq1myKokvn2hpaZTHLt0BZuz1LfOxR6IEeb2Vend2psuX/goyCU60ANsBdaDSANf93vwXS+tn5BZFKY5h+cdoVjcj2XNoeut1FKI58kFdAiEdOxbkUSr1aJWq11W6pE5clwskHGKEMuKsO1p9HpAcsKCKQN6ikAPIdMcoMwAPlczi7MgqUVCpNGJbswhE2YKgCYD25sDeMwmrruEYR9JYqHrcUeR8NJOLpW5FATBOREFtOMzlUqFRqORWTOdRKWsCFWhvZZN0VZNFGsVmJ0fZJHnYyDEPIau62nqW+dtNkiiEVrTBUZv34wMbs+XxtCQsYh+YBxEaoQ2dXjAhX8rwLQ0G3U9wPOOUCo9gusewzSrWXP3hdtc7P9tkvB9n2q1mhfY5cjxJCFJEqIoRogEy5rF1OsEZ/rhhAXjNtj9wHFmETxEP3ZafOd2pM6nqShUM/e0gkBGx2eBoVTiA9gQQSlB1EyiqJckcdD11oqIAmSVdrPZpFwun/e5X4gsygtWcKcynpaFQMYPmvMPUyOug2GPYtjXAVuA9cj4g/oZA3YAO7tJ4kEX/qUog9gJ6HqTQuEJenu/TbG4L9Vqau+n+6fj0DrMvM4eEzlJ5Mjx5EK5VoRIMM0KpjUHFQ0O2FA1QfQDfQh0TuPyXYb4HgNM4tLCIELDTz/bT5kmZprsoqAKelvyTw1Zw9UfA3rq+ZAu7pVmE5VKJWq12tpeiKcQF0zCY7GMAbEg80iTaW9zurx3HcTvz81h9w2g6euQmUwdvXQBeWqOdDUJDSo6POTClwuSJGIwjBql0mOUyw/hOFJxcv49X2rA7xThUn1+fd9PH+CcJHLkeLLQmSZrmjUcZ5JWayPJYUtaFX1FMNYDFWJanMRjDpuTFBjAp0iIj8FpPE5QoLtpsfpfBemCKspl5VjKCAFJYmcpsipWcDZPi2VZWWxlte1VLwZcEKIQQiySg6xnzUK60ExnCqqbXfpx48Qp3P6BNEjgkqW8du0ISTCnTfhaAb7vyv9H0t1UKj1Gb+/30qyl7sG9M2+50+engkIq+0KJb6lc5xw5cjz5UKnnluXjOJMYRp3kdB88asNGG3qHkEHpEwhiGhgcoMwRShgkJGiEqei4tmj0ooXUhUuzn0xkTZemiMJDBrRXZlGomILv+2uuJvtU4IJZFJ1RewUh5jGtFIqEfQ48GsCuFnjyZjVPTzJy09O7eUWN0wkQatJtdcSSQesHHBnvEMrddJCengcykphPCipfW6kyRlGU/b9z3Rw5cjz1UBM1iLHtSRznJFG9jHjUgWt86CmBNoEcFCaBAAGpqEeaLbTk1tUMMxUQxZDejN4EDJmdGUXFhfHUs6BUKtFsNnOiWCmUqFY3Ewt0fYkgzXETPleGEybs9okHGoTVlrQo1FeEJjOYKjpMmXDShIM2HLLSYhyABNueoVR6lFLpkaxLllSsleas6qr1ZOm658iR4/whhMhUDyxrjmJxH76/jvBYv0xWmQigMAxaASnNcRSoL5rjtDgSZD1FA/AkUZQSMAQk+sJJ7QrgeR4zMzMMDg6u+rsXGhc0RtH5u91GdJFMo0RIspgtwkGbYLCCfXgY7Ss97fUDDWYMmDRlmlw1DYJnY32C45ymp+f7FItPYBjtpiOqRWm9Xs+siBw5clzciKIojVPEOM4kjjNJWO+DfTYctmUHS7MIbEa6po8g4w5nax6m8qJ82jNRwE7AFDIpKltv5fA8j+PHj6/qOxcLLng/ipVBkwN+TYe9Ds1qHTsYgTPldr9roUl3k5SBaX9PA4hxnNP09n6PYnFf2jMCQGZPdJJEjhw5Lg0oL4DjOJhmFdc9TrM5TnyqAN/xZIOz4ZisMRHKuphEksAqYooa0vVUEIiGkarIyuFzpbJGSinb9/1zrqe4ULhg6bGLB4HEgqBy+wvIwHWsEVRmseIy1DSp81IzZPwh0CRhaOpHbtM0a5klIYvo5HJlSVSr1ZwkcuS4xKCIQnaQC3GcU9Kd7COleR50oa5S2w1gCJkyvx2ZKakshxUibUkghEEU9ZEkskJ6JXLj0FaCvRTHmgveuKgzU6gtibH8zQuCCq47SGYxLF7qgCSeGM87SrG4H11vdqW/KtniXN01R45LE52xRNuexvOOouu+LKb9RgEec9oTSKFUGiaQZLGedrak6PitZCB0uoZIJ0mbnOkEQT9BMICmGXiet+J+D+ejJHshccGIQuUUtyGwLHmjpVzGUmQhCIIqtt2/ov3Y9hlKpb0YRr1Lj0kIQaPRyHtF5MhxCaNTTVbXmxSL+3DdEzKuecSSSTBfLMJJpS6rIeXIR4HrgN3AJqSCg4O0PHTAQxbulto7Kyay8M6EMBygVttJGA7gOA49PT0UCoWutgmLQUl5XGq4YDEKVTCjaik0DUyzTrn8CFFUptXagLxh3Rc9ippIUikt2OZCxNj2aWx7kvnEk/exzpHj0kccx5mGkq5r2PYZCoX9tFrrSUJPkkXFkBmTd9RhNARTA81AFtO5wDAyw6mKTImNkK6pYWRcI0VRwKYQHk4QMyaNxiZMs0pPz/dw3SqmaWaFt0EQZCn1nbBtm7m5uafi0qwpLhhRqFqFdlBHFk247jHK5UeIY48w7Gc+WQTBDLbds6J96HqAbc9gGK009tHejiqUy5Ejx6WLzjRZKb8d4XmH8bwJGo0tMo11VpfB7ViTLU4nAlllbQIYoKmC3UHa2TAWbSkIrd02eXMA4yFUHeK4RLW6CyE0isUnUtdXC8dxiKKQIAizolxFGrZtX5IxigtKFK1WK81YMNPgNui6T6GwHxA0GltotUaJ4wLKSxYEsysmCtVLYr410daKya2JHDkudagqbTmOgGXNUS4/nHbM3CDlNnwNvutKC2NbADt9Oej3x2CoxBfldlJB7kVcSOsjuLkha7aOWER+mUrlenx/PY5zHMc5jW1PY5oNLKuFEFLpNgxDfN/ParQuNSmPC5oeqy5csVgE2mlmplmlXH4ExzlJq7WRRmMzrdYoSeLi+xUsq29F208SiygqpWlsbRY/l7aCOXLkuDihUtxt204zkCIKhQPoeotKZTeNxhbZ5ybUpAvqjAFP2JIwbmjC1hC8JOUIRQ5LxBlcAde1ZEOjB104aJNM2jT9cfxgHUajhmXOYVmzOPZpHPc0tj2DbQe4rovjOJRKJYIgwPO8xfdxEeKCEkUcx9TrdXRdz5pxtANBYcrOs7jucer17TSbm4iiUxQK17OSYheZxtZLHLsdabG5RZEjx+WGIAhoNBqUSqVU9SHEdY9hGC1se4ZGYzNBMCStC0UYUwYctuAqHzaGskFRXyKD1lY6NszvLCCQMkLX+DAewek0/jFlktR1kkqRcLaMVhvDqG3DbkzhOidxnBM4zimKRZPBwUGEkE2PLpXi3gtecBcEAZVKBSFEpoGi3FASPo5zAsuaolR6nEOHTuI4z2RJ07ALOmHYTxT1Ylmz2VKl/JojR47LA3EcU6vVEEJQLpfTpj4ymcWyZigWn6BW206zOUEQDJIkjnRHHbbgmCU7afbFkjC2BnBNCwbjrjBF128TuX5vDNt9mWUVa7LLXlVHnLKI9tlEB8dpntyIUa1TKu6jr+879Pb2UqvVKBaL1Ov1S2IsuuBEAWQaS5ZlLchHVhaGYfho2iks6ySFQosoUtbA8mQRx4U0xtFGbklcuTBNM+s7rAq2ctmWywOqgNY0TQqFQiY6KpNaTtPXV8XzjtBsbqLZnMD3hxDClvHrSJftkU+b8JgtWyQ/vQlbAulu6oKyNgLQmkAdjBZYNrgu9FowWoBtLhy3EN/ziB4oU63uxDDqGMYZkqRCsVjM3GYXOy4KogBpWTSbzWWqHDVkv4gZisVJKpUNCGGdZasaQpybgFeOywu6ruM4Dp7n4bpu1pUsjmOazSaNRoMoOpsGUI6LHVEUZZaF53mYpokQpIkyTTzvKI5zBtc9Rr2+nUZjC1HUm35bk6HMGQO+6cnfd1Zhe9AxHxVAjNSMOoWUMm8iv2gAFmgOmAPQNwI9vbL2ohQTf82jWr0WyzpFHB/Esixc18X3/Yt+onLREIVq8ZckyZINy8MwxLYFtl1F1yPi+GxEkSOHJIlCoUCxWMwmIm1L1ch6t1cqlYv+hc1xdoRhSLVaJYoiCoVC5qWQ91yg6w0KhcNpdlKFSuVpRFGZtjacJvvgHLKka2oilK4pQBLFDLAPmEISxGItk2dAmwZjEwyvh2cBdZ3gK30k/naC4F8BKemhGh+tVDPqQuCiIQo4u0tIFtZ4JIm5SDe8HDkWh3JFdA8YZP/XdR3P82i1WrRaraU2k+MSgkqUiaIosyLbafha2kZ1jnJ5L0niUq3uTl3UHeNKoEkV6qzcSiBlx48CZ4AIDUGRiB6CrCe3j8E0Dk3p05LFfYPr4MYWPOQSnRmj2SwhhIZpmhiGcdFbsxcNUXRmPi2EDFy3WgFRNEajsU0Go84KkdZStGeJKpCdzxyvHFiWlfVnX2zWpsjCtu28Wv8yghCCVquVubV7e3uxbbsjWUbDNCsUi0/Qao11xzI1IbOfhuM0A0oggxnHgZNAhI5ghCbPYJJhWtipbHWAzmP0cj+D1JgF7SDoLmwwYSxEnCkTBGXi2MIw4uy5u5hxURCFmtF5ntfVn0JZDUKYxHGRWk0jDHfi+yMsoQK4AIZRxTCqXctUwUuOyx+qSdZS7kwF1apSxS5yXD5IkgTf97NU/Pl6TJoWdU0mQarEsjWQwexslKwh4xJSorxIyDXMspUqJqKjKZLGdiqcpEAdk4Q5NG0O7H4oJmi6QxQVCEMT09TO+mxeDLjgRDHffywD0CCERZLIloO+P0KrtYHTp/djGBtJkkV6ay+A7JjneUex7en20jSAmQ8GVw5UgeVyPuC8CPPyhrIulBJEuhTQieMScey1l+nAxgj2NGFYKTsIZExiDhBowCA+Y9RTkoDOMckhoZC6pqTvKt2OBpqmYxgFwrDOpVJzd0GJQpFEqVTqIAmbMOyj1VovWxuGfYRhP3FcoNk8SU9PiZV1lpJqtIXCIQyjkRfbXaFQ91tpAS2Fzr7oOS5PxHHc0b9CS5cVaDQ2pcFsZOLSxhB+oAZX+9Ky0GJgFmlNhAjAJWaUBr2Ei4xGghYGVSwSKRIFFFKpc0BL8DyLMKwhhHtJeDcuGFEod1ObJAzCsI96fRut5hgtfx1J4iE0A9BAF8TCx7BdQKSJBtoSnCEwjAbF4hM4zklUVoIaNNTDkuPKgBJlsyxrUctCWZmXolhbjpVDxSfVuy+Ehu+P0GhsljFPV8COAJ7ZgGtb4Mag+cjA9RFgOo2WCvoIGKWBzcJBPkLnBB5ncAENjSKIAgSyGE8jwnUFYVhFCCcniuWgNE8syyaOC/j+KLXa1TSiCWLPllLwfRH0+fIoNYi/Moe5O4GoCWdMWRzTnB+rkCRRKj1GqfRYJt2hXAtK/jfHlQNVtRvHMa7rZrEIkJZEGIbU6/VLsk9AjpVDZTzJOBTEcZF6fRth3CfbnF7fgmc1YNwHuwbaDHAGwQxQQyPGQNBDyHYqjNDKVD1iNAJ0Gpgcp8CD9FPHAoog1kFSgiM2HLMwtVkKhZAgkPUTyhWep8fOg67rFItFbNshinqpVK6jVruK0OuBpwewqwYbAihHsquULiDREGEN7Y4GlAyYMuGrBfiOC7Op1ZF1tDtIb+93sazprv3mHe2uTMzPfvE8L6vMVv0DcmviykDb/WjQbG6i0dyM6Aft2XVpSfQ3QZsC7RAwhUaASYJLRIGIQXw2UWMzNQpECKCKxXEKnKDAJC5TuDQxgTKwGRiHGRfud9EqCW7hGKY1RbMZXjLtDi4IUSiVxyTxqNe3Ua3tJOopy+DRs2swVAOjiqCKzEMGYh3NnEGz6lBwpdrjc4Wsd/lmQVoWGpjmHIXCQUyzApBZE0mSZINFjisTnc9Ap0WRuyGvDHRmtkVRkWZzE7FRRLu2JaXD+2ugnQDtCCbTlPDpI6AfnyFa9BLSi0+RCBOBACZxeZABjlBkDjsNX2tolIDNIMahUYAHXHjMxtRnKRQO0Ww2qFajrCr7YrYm4AIQhaZpqdaORas1Sq22k6hQkiRxWxWGToJ2Ak2bxqSBSUiMRohBEh0G/fHUbzgCwxrs9mG/A8fkhXbd41k71c5rr2aTebAyR/4MXJlQ9TKgEYb9+P4wYhjZzKi/Cdpx0A7gMctmKmymxhAtikQ4qdtJuZoAWhg8Ti8P00eQ9rEQ6GiUgY2SJFqe1I76ZgFtSlAoHcJ1j+P7SdZH41KYqDzlRGEYRmpNlGg0tuDrg3BdAM+sw+AZ0B/DY5Jh6gzRokxIA4MpHE5bDUz9OODLTARjk5QGHomk1G8SY9tTGEYdVaSnAtj1ej13L+TIcQVD1/XU5WgSBENEoix1nDbXwTiBph2ijyl2MMsuMUsfQZb6qhJkVf6MAGaxOU6BAD21Imw0RoAxEENQcaUl8fUCHDH4/9n7zy85rizLF/xd02YuQgOIgAY1mWQms6qyVJfo7nnd6715Pev1rJkPs+bfmj9hvs+snl693mtduqqzsjKZ1AKEBkILV6btzodj19xDACRAEoggbK/ldDDC3cPcze3ue87ZZx/P2aDb/QLbHqGUOlMpz+dOFI7j4DgOeb5Ikq+irwC/GMOFHSzraxZ5yA29zysMWCDHpaTAYqBtNqsDFqwhG9hk3AeWoecIUbgaKytxnBFKlYcK2Maa4Swwd4sWLX4Y2LaNbdu1eGaFMvLgxhCiPZS6yyJbvKe3eY0BSzrHq/vuLA2FgtiCDBrtTIzTdFEofIQgrgI9GLjwqxD+ugPrNq61R6//Cb6/CVTNxLuzEt0+V6JQyphguaTpBbJOH34vhmvbKOtLLnCTP9YPWCNhoSyboVOlKhmWORfzIT+3NvkEzWe4JGoDFUTizuhrrCLFtkdIV7ekGCaTCcPh8MyckBYtWvyQkLRTVq7AjRKuDEHdZ4F13tdbvMUBi1XJQgFuNfV/0AhR7DmQWFAoxQCPBAeZt30D9GWoQlh34S868EGIGpYE3h36/Y+IotsolZEkyZlzK37uRCE5Qo8sX0JftuBKDN42HfWI1/Uu1/WExVLTKeVEgfSpeIVm3lJcsFIKDtgk4iH7QAp2T0JCK8ey8jqakLqEMQZr0aLFyw0pZNsURZ/SCuFSDvNDbHZYZcg1RixUJfNF3UJh9pZK1qCogqKUAXmpUsTY5FhAD/Q5IYlHNUn8KoQxeP4Wc3O/qUmioCgKJpNJ45R9VvDcicJxHKoqIlc9WC1hYYRihxUGXGHEXKnpFWAXoHKgAuWAo4UsesCyTllRMY9I0CqrnYE1jj3BspJaIy1zBs5KDrBFixY/LIQoHMoypPJtWMjBGdNRQ9b0mHmd0ytrkkiQPFMFOKACuff1dEqqwALmgAgGtigwf12ThLdNv/9xI67RWgYrGYfis5QKfwERhZITZQewUKD9CR4DVvSYRZ3TqWqSGCPzQOoTpR0g13Q0xLpkkQRLxZQqEamsr1FZjlKiSTb6+LN0Mlq0aPHDoqo8iryH7lkwn6OcMQuMuUBMV2uCqt6gDqkLEggXVEAXHEs2rdNJzAoIZYFad+EzH4YWtj2k1/uEbvdLLCsBphJ9M3viLK1NL8a2UFvoCFgoUM6EQMUskNHRJW4JJIjte474aaXARGNphY8i0Jo5cjwylCpkdm33sJX4WWlkadGixfOD1jaV9tGuBV6FIqVPSpcCrwKnqtX3GVOpU0kzxE5psYM63PVgS7V7w4FdG60VrntAGN7DsqY+c8Y+aHosZ8eI8sX523oaogJUQkDCHBmBBsvYqxwtKxQKSytUqXG0JqLArYvWQigay0pRqmp8e85SDrBFixY/LJqmNgXMl+heik2MT4mvNZ6u6xInDa0rQBWyYDq1wayDxjJsUimYWDLsCLEut6z0hBcSaK2xLOvUN9oZnAIjdI1NhUuFY4waT6g9Kw2q0ugKbE2tXK7NAfcc1BAcZ4BS0hbf1iZatGhhYOaSUDfGEWoIcjxi5sjwqLDNbKKTtC/md1rWH4fq0FS7bwMzdhc49d5OR3EKiGIK9YQoTCmoKqi0PnzQJjSsQKmqTTu1aNHiGIzisqpCiirEdM5ZaDxd1ZEBM511J0BP1yjRbkq3tvwBJNSwzZMttJ4mqQxRhWFYExZnqk5xqojiSVBK4dhKyOIEIlaqQlGhdTtXoEWLFidBUZYB1dHZ2NRZCn3sx4ehjzxWmx+m4BSwUEIkDyqKHll2Dqlo1H9dqWZIm0k7nZWo4uwQBdIbUWqNpBEtKhzABq2wVIbtDKmqrI0mWrRocQizPk/aQnSu1nQ375xYpD6CmhxshCwUYFEBiRRXl4UslNIURY/J5Cp53scEDSaq6Ha7RFF0bCTracbZIQpLQsVKyyDCES4ZIaoIYWyhqgLbjtG6jSZatGhxGNO56UoGzi2Im8NToSYK060dUdbjTmt55lwlZOGA1g5xfInJ5LoMYKujD9NLFoYhvV6PKIqaVNRpxnMnimdOySmwLEWlNSWQoyhx0KkLOzZWlmNZGWVZtBFFixYtDkF27w5l2aHCk2l2JixA1K0ljy9PAFOGqOFTEpCjmAAJdEu4nkG/Ag1FMcf+/s8ZDH5KUfTQ+vByGwQB8/PzLCwsEATBE0f1vmg81yMT3XC926+AcvrJaxSlQsLCkwjWhkJrCq3JFVRGvaDltWx7jOOMqaqqjShatGjRwKR8xL6jQ1V5xx5Tqbr2Kfmkx7wQh4hi+r85qExatq9lcCmr1zBFUcxxcPAOg8G75Pl8s1E2Myhs2yYIAubm5uj1evVY6NOH50oUMsC+RFOhYgX7DpQeGZ74ppiTdCJRKGxXRhgWWIxxqbQjzFJRd2S3kUSLFj9GmJSN67q4rvtU6ZqpNFZxbLWHZr8JPH794fjTLDQuFdKdNwEqWCnhzRQ6VeNLXhTzDAbvMhy+TVkX0mflsUopPM+j2+3S6/Xwff/U1S6eu8241hWWFWMlKYwDdBmSOAEjHEoU2qqrRaZtvoZywPNt8qKiVIoYF02EGvswtJvHNhFLixYtfhRQShGGYSMtNTNmnmZ8wOPSOhVQoKg1k7Lu1MmKY3moIxzjUdIlR1GgiaUJLLDhtQz+qYCBJ26CCsqyx3D4Nkrl9HpfUBQPmujBkIJlWU3NYjgcNp5QpwEvYBSqwrZSLCurT4RFhUVZp54qBfZR+YGSI/UCi1FaTD1WtAOJA0OJKsQMsB1t2aLFjwm+79Pr9fC8acpIa43rusdsMU6CGVh0kqYpx2aIS6osClXKun7SqmgB7tEfSUShML5DOSgPVgq4ksPXXp3kENYpij6Dwc/Q2mc8/pqFhcObWiOX9X3/1PWDvZjqiYJZutZApRSFyRO6HD4pNigXwtBmGBdkWKTKnsqY9fSVWpJo0eLHA9OkNrv7NjeTrvmmNNR0Vnb9g0a9pChRJNjSkF3bieNyfAvtTH9WMeMJ2GBmQfe1FLXny5kuYglHiqLPcPgOe3tXgAvHCtzmeD3PO0SMLxqnoMyuKAyrY1HVgQIe0zPhAC74ocM4LhkrmSx17JWaotXpyu+1aNHi2eC6bpOzn72uTV+E7/vfWAA+1thWKhhZkDto7VJgichVya+0i8wiMqujA4T1vRJCKSwoURTTnu4pLGC1kDHNh48EIYseBwd9sux9yjI6UQl6tIv7RePFEYUGcoWqPEodEOOQKWsqhPKYsroDWOB3HA6GWc3oJ5OBbZ8C7mvRosX3gm/qXn767mYtted9GzKPipAhLmMcMktIwDiHEwI+0JF/17oZMmXuZYN74lrkHBtc0aCqCoqioiiukefzjz1Sx3FOjWT2xR1Foeq5ggHgG4s/qUnXNQlcpLDtitdTr+eSpk/O2SllnZoPt0WLFt8NZVk+Nk+vtX7i749CqRLHGWOpjNk89xCPAR6ZgtSq008e0ENmEnVooom8fkwFjHE4wKuJ4sia08j/TzruFLApyx5F0Tv+3OZ41alZy17cUZRALHGcRhHjSK7QSNVs5AT1AF9OXqfrMhrNhHMzclqtXbR2cRyncWhs0aLF2UZRFKRpSlUdFqmYf2dZ9o2jjquqqsmkwrYnQhQjCyY2moiYgH3lkWGR1GSgzWbVA2ryMHOzU0uWrwPcOqIwi1WdAtOI5fjwMUqrKsOybMCujQNPhqmtnAa8WLqqi0oaxQSHSd1L0UQVJuyr130/ckjS8rBsrVNBv6LQHcqyg22L1rqtU7RocfZhpsJlmYybmx32k2UZcRx/Y4NtWZYURVHPgMjEcmPPgl0XdERKwAYhA1xiC8ZWvTSp6Q0gVTCyxW08Vg6PiJjgIAWNOQ5VuzcdSW+dkH2qqhTLcrDtHMuKOelBJpo4LevYC9p6VzKZToGwcKdpusvqYlGjkK0/Jw1YgQUW5IWWgpMCggo6FWXZIc/nCQKPMAxJ07SdSdGixY8AaZpycHBAURTH+igMgTwJVVWRZRmdjsZxBnjeLun+CjxwUa93qPw+D9WAe6pDjwzlyCiDTiW+gZWSusSBDYkFmVLcpsfX9MlwUCwD81NG2bXhw0AiihMW+qLIsW0Hz9vD8/Y4iSi01seiqBeJF0IUShU49gRKDaUIlBNcxrhkdeh31K9LA5WlsDyLUazJ3ToYcjREFZXlk2WLaO3ieR5RFDEajU6NDrlFixbPDpNisiyriSqexqpHRg+U2HaC6+5hjQqqdQfGEfhLjNnha/qsqASHCXsOxFqWlxJJN2W1KmqTkC+Y4wAPyU2tIJVvJen0DwO47UpkcUJAUBQJQWARBPdxnNFJXALMpsxePF5I6kmpCkulqIGSrmosSiwSZVMo1RSLDFdInwWUltQzdgaa1PTZexoWS7RnURRzVJWLZVlNJ+dpKQa1aNHiu0EsgMT082n93IqioChKlMpx3T1sHcNDB/Z8YIGKPo+I+JI5Rsolq0sM+7YsUWlNErv4fMo8D4lqv7k+sCDRRAXcd+GDQMKPxzBAnu/R708Iw7so9fiI6DTN1H5BRFG/+diC2AYCCnwGuOQoEkuiillkSk5Wb95nf1JQmDDPRtJPNuT5XO2lIvrrTqdDEASnJs/XokWLF4OqqupUdIXr7uG6+7BrwSMX9BywRELA1/T4mh4Z1qEaRVWTxG9Z5Gv69UbVB84hNQolrPJBCHfdQ/ZDU2iUKqmqWywubuO6e994zKfF4PQUFLMVCh+NxwCXFJtUBAlN03VFHfpZ0O07DHaMB0oh/io9qVMURZc8X8S4epnOzSAIXsjba9GixemAscSoqgrXHeJ5W6iklEU98UGfA3oc4PMhi3zBHPt4pFiMcLhLl1+xzGfMMzID0zgHXJAGiwK46cHHviieHtPn5bq7KPUh8/NDLKt4bNrJ1GFOC1G8WB1poaQ6VHpoJ2SIz1C59HTOyAanEtv4VMHYllzh/FzA5FaGNiMIVQHLJZwrqR75TCZXCYKHOM4BoBvflG/jCdPi5YBpZDLfi9MS3rf4YSHppwLPSwiCDcbjEfndHjzw4MY82FepKNkC/gfn+IqELjk5FjsE7CMSWiGJReAS0JWQ45EDvwlgq264OAT5ftn2iE7nN7juA8LwrW88XkNspwFPTRQm5/+9vIGkDtcKH5yIGI89PM6rmATNrisliLxOO6EgWAzZ/80QD1VPlqpkYMhSAVZAHF8iji/T7Y5FWVWTRa/XYzAYfKPmusWPF7P+QK7rUlUVcRwzmUxOTdGwxQ+HPM/J87z2UdrE9zfJN+fgMx/WcojWQOVoMvaB/aMugE3j1jLwitzrenH6NIAvfIksToBlZXQ6N/G8DwiC6onpcFOoP01r1VOnnvr9/jMP2JidW6uUlg81VVA5QESBxy6+sHYtSRtZU5IA8OZ9kqwiKyqJKpQWuutV4FXNrFrpeJy2+AdBQBiGbb3iJYbruvT7/cZkzmwgzLD7Fj9umDpFVVXY9hjP28LKcrjlSSSgXeACcJ7jE7RPIAnjR75ri1PsxJpKZI/AdXfodL6iKPa/ldmfiX5OC5766uh2u83tWckCNJZKpb4w49lRYrNNwAjXzPw45gGf2S5W5JMdZNMfu1rST90KsEmSNSaTq2jtofXULDAIglM7QarFDwujhPM875AD6VF30hY/XhjLj6qqsKwc39/Ctsbouy58FEg3ne4A14CLQARNPSJACORVhCRqIikRornnyr9P4AmlCnx/E9/fJo7HhGH4jceZZdmpinKfmiiMt7u56J4G025DsOwYS5cwsCCxUNqnwmOHgE1CGWJ05PkaGOJR9Toku/Hhd7FUwJx8sBJVvEKWLR56vud5p3J6VIsfHo7j4Pv+sW7X2clpLX78mEprRf3k2ANJW3wUyGJfWUiX9WvAW8CN+vYG8CaHSAIk7XHLEznsYwrY4jE1wrZTkiQmiqInHqNpEDxNeOZ4++ldG2ehpeJfVvIBxxYQoYgY4fCwaY2ffQbkWGzhU873yMaTww2NUQUdMyzdIsuWSdMLaO00x2t83k+Lf0qL54dZTfpJnkEtXg7Mmgg6zhjXPZCREesOfOrLxlVbiMncRYQwXgeuIgRyRNGUWGLX8YQskdYWVeWitc1kEuP7/hMeq09d2gm+A1E8jWujwWFyqS/QiTFXCYAuJTZ36U61zExlsuuE3KIHS3MkGyMa/3EQedRcKa2UKIqiQxxfoSj6h/zeHcdpieIlRFEUjMfjQxegIQ8zUrPFjx+zvQlK5fj+JpaVSkf1B6FEFokxeLKh6b42BDFDEhp5rDGHegy0dkjT82RZn7IsnyjXN2mnM08U5oOO4/iZwiMhipkPe2hJVKFtoAvYDHD5gjkeEjXzbLcJ+Ix5tghw+yHZOK/JxQVq7/duNTMY3SLLFsiyhfpt6iYn3brLvnzQWpOmaUMW5nucJAnj8fhU5YNb/HCY7U9Qqk4/OSP55Y4Nvw7hgTuz8J9QKJ3Ft0qqKIpijoMDB8s62d3abFryPG/cck8TnnrFHA6HaK2J4/g7XVxK5SiVQxZJjrC0wBZP8YqcdUJ+zTIDPDxKbtPjNj1SLNw5H4WiSBROVLfKmw5t4QSZRFX0SdPzhOF9bFuOdToWUbVph5cMZVkyHo9r1YvdRBN5nrffhZcERz2iHGeI6+7KhrK0pN7wQQCrOUT6yUSgkA2q+w2PA8oyZHe3IgwfX5846pR7mvDURDEYDIDvntu1rFQsdtN5kZdlFrghqA4wJsfiLh128LHQjGt7D1AoRxEsd5jcHdF/Q9XKNS0SWXs6o7aqXPJ8gbIMsawUpQ6PS20Xh5cPhizM+W+/Ay8fTDRp2xa2HeN5W8TxZaoqgImC3wZwI4O3E8k6weOJwNFiM2sjJqcnPlChtct4XHHt2vxjj6ssS5IkOZXR7VOnnr7LxXVYbVJgWYV0Z+/bkiPEBeYx46RKLAa47OORHyki+YtdJluT6VuwkR2APXtsFnk+T1l2Dx1Hq5l/uXHaLJxbPF9Mz73CsjJ8fxPHGcsvNdJT8d+78JuwLm4zvR1FqOEnCazUYxO0rm+HH6a1YjIZEYb9Yy/0NEOYXhSea7L+uFKq9vDdciSqWHJAnQf2gG2aHNIJCJdXGd5KpehkHuIcDwHLsts03x09lhYtWrx8OLzZ1XjeNr6/QZbNg3IkMvjKk+FGX/pCBNczyVgcXTY8Db8Ti+ryo0C8o/Zsmcs98+CyzMiyDMtaQevdYx5PeZ5/53T+D4nnurW2bbvZzVtWgWXlgBaSeOTWk83ngFWkweVxcPHmrlHmFVU5w8BRbQ7VQFGWPnl+eC6t6QVp0aLFywdDFFprlNI4zogguFcXtevNaa5g3YW/jeD/24e/6MCGc9wVVgH9Cn43hv/rAP63Afw0kUhjJnKI43V8/zpluVI/aSrVrqqKyWRCmqbP5f0/C577aml28paV4DhDlKok7bThSD+FdpAOyFU45rUC9ZnBDldRyiE7GE5/1a0gPHwmtXYoyw56prXetu1WItuixUuKwxGFQqmCMHxIEKwjKQ6mQqcC6bH4qw78dXTyeFOjpF0o4d0E/sUI3knq6Wtym0zWiaKrFEUHrQ8vu6fNKfYkvKB5FAqlZIgI1K5/jxwJ2VBI6/wlYImpjMmcnQi4CGqO6PwKo1sPpr+yOOEdGY8W1fztFi1avLw4aXKc4wwIgnvY9oRDTKCU/O/Agg9D+NptuOQQDLE4wJUc/ngi9xZAxWSyju+vUBRdtHYP9XY9S0/a88YLzb/IAKO68LNvS09FY/I0h3RDLiGRhRgHwhpi3OXSubxGvL1F86nbWnKG6nAxqao8tLYxP2zJokWLlxdHBTmihswJgkcEwaPadXoWNQsMLdh0j09VO/pQB7iWwS8mcK6g0gVZto/rdqmqsHGLMMjz/NQWsQ2eazF71kJBqRLbnqBUjtaudGgf2JIDtEwst4KQxA7yiwjxgRdTLX9+jvHDDcqswPZdoT33eFxYFF2qysOykkMS2RYtWrQw8LwdOp2bZNkKeb7AsS7sXMk6VU1rDI9FqOEnKWy4pBsTPG8B2+5RFB3KMsC2pynzZxnt+rzxXCOKsiwb5hSiGGHbuXzmsYLt2WKRoeZlxG/lDeAK4sEiJ9DphARLC+TDurPS1icQBZRlh7LsMJt+Mr0ULVq0ePlwclRREASP8P1NHjPL9PEy2aNQwHwJvxOzF/2aufkbiLgmlH6N5sU4E1Lt50oURz+MJvWkELbet2u2bh7BtFJkc9RvRdmK3rUr7H38hTzcQXopZt6V1tJ4V5ZTFVVLEC1avLyYnWx4dE1ynAFheK9WZB57pqS1v+3yoUCfyxiHd4kWVwGoqoCi6GAWqbPS9PncaxTTEEsjVaFq+r8F346tZ9C9vMr44UN0Xj32yfoxw0RatGjx8mF2LsUsTFTheZt1UfsIHCSlZJ20zujjNwVFNcFZ9HBXOwBUlU9ZRoeUTy1RHIFRG5gPxnEm2PZ4+oBnWM+9Xh/L88jjybO9QIsWLV46PF5ppOvZEUeJQkuP1oJxqJ75ORUQI43Cu8AQswEe3r5H+PoS1lUNLlSVkes7dRN3G1Ecw6whl1K69ntKp0finxTWmVAjRyKQI+kr18Kfm2N094Gcm/zoQzSWVWJZh78UZoDNWThJLVq0+H7xuAV6Kt0/gUS6pVh1HNLBaIQcvgA+Aj4EPgN2oKoY3blP/2dX6s7uEq2dWlxztgZlPXfV03QU4RHVkVPPk2i8mkxqagA8BFJEMnsBmBamUTD/1qvsfPApi1fempHY1r9WMth8dodgppq1aNGixbfGQgmL5cxmtkKiiM8RsjC58wMgp4hTsuEB/nIPdAZrBey5dR/F2Vp/nvvR5nlOWZbH5ak20lV96CRsAbcQ36cSsfXIkJm2IebB4coS2eCAYpziFHWx+1BkIqMPZ2vYbUG7RYsWxzG7Ua3tPDSS8VgsxSlWmd+PgNvI+mTqHQpZq3ZItnfxFwIs35VRzas5fOrVEUWEkMzZwAspZp+YG/SrGf93cxLuI2RhHp8AD4ANZivflusSLC6Q3NsXnfORiNKyirqJpk0ztWjR4slQqqpT4jPrhcNMfcKkwzeR9ekEAyhdMvjyCzqrNsrKJK2+XIIjDcBV5XGWaqovhCikTnFk0Q419ExYZ07CLFMbjJFU1JDZ9FNn7QL7n9yU4SNHILMoTnfnY4sWLZ4fnrqIHFYSUTTLyxDZsMoIXaGPqeKpTArG67v0X3OAkaTUF0rp89I2VXW2Uk/PnShmNcyH0KkjCkA+/F2kLnHsFZCTNKQhGwVzr98gPdinHMfHHm/bscy+OEMM3qJFix8Ox0ceCLQWCauMJjAbUS0W4/NmI1si69MBhhhcKubJuUDMPDnpw31s38YJMyTFVMpGOKoo69cXW6GzgedOa9OhMTM/tOpCdq8EVSEnYIBEEyct7iny4a9hhhxZnkewvMD4g3X67uH5E23aqUWLFrN4UkRRFBFlGXGoPrFUzMyjSJD1JwM0EQXXGHGVET1yBnj8+6+3WfnZZVAZsA+k0PehX6G3nTb19ExQSA7PAVSChHQnNLw0kGKRpKEMNHNXb3Aw/EJ2AN+AdiZFixYvN44ThbBCUcxRVf70x76Gi7lsZJtoYg8TSfyEPf6ITd5kn0uMuT7aZnl3kyvXonrjOwQmUoedN+mrqcPEWcALWSmPeZu4Wj5Av0IIYsTjowmDlEPpJyC6cp6Jc588Ozj0yLL0j7nHGqJo1U8tWrx8MGvAUVSVS57PT9NCSkta/HxZz5cokAghATR9cl5hQI+sMRjauj/iyorDRSfFppLHqjHYFXgajUVZBmdKIvtCiMJ0Z4u1hiVKgl4FniEKOQnwuHG1ZqLIPib8A7DmLXpXrzMY3p55hqIsu3WoN/MKj8lRtmjR4uWEqU/k+dzh+kG/lNSTDbI2jYASG80FJizWJAHCK599uMsbVyNWGRNRoCmAGJTUKLRlUZY9qso/M2vQCyEKE01UVVA7KZq+hwqJFHLMuECFxqrvD9NFiRDFTPopLJl/6xVGyd1Df08cG8NDnk+WZbVNdy1avMQ4vkjLprIo5gBrWp9YLutCdoWQxBjQ9Mi5zBjPyPc1DPcz8rzk4tWIFZUwT4aiBCZg5zBfgQe6ss+UB90LS9KLq2tAVfqSejIDh0gRwtDYaJZIeZ0DrjAmrC08pjK0EUIWpTzX1YRvzFF1UvJcFAlam7nZfWZTWUopXNc9M4zeokWL7w/H087SXJfnfYqiO/2Zp8W2o1PNEEUq/XeknCM+lCC/f3vI5es9HFsRUdKhQFGhySWicJ/CffYU4QWOQgWtbTQ29DQslWAVCFtXuGiuMeJPWOdPWefPecgfs8E1RvhNb0WKNOBN+y3UmyXdf77MXv5x40peVSGTyY069zg9Dsdx2gFGLVq0qDeUIWl6obYBV7J+nC/gRiaGgCTAPpoCl4rzxPSYsSPXQhQXr/bQgEdJjwznqFP2GcQLIQrHcVDKqkMvNRNRZEiNomKRlJ+wyzWG9MlYIeEd9vgDNrnBEI8K3Xit3AWGElXMF/T/1zUGFz+nWk5QlkZrl/H4BpPJ9XosqrCFbdstUbRo0QKAouiSpisycRNkXbqRwWUz+zrBCGgCChZJ8aiaAGFnI6YqNUvnQ1nWqOhS4JiUupVI456vqbTX1E3PgvryhUUUYFOWERWOyM5C+TB1/eFfYswF4tqoUQhFikcxP2OHq4zq31VIRHEfGIPS+Gtd/F8EDFc/l5wgUJYRcXzpUCNNSxQtWrSQFLVNlp2fGYFad1LfyKBrnCQmaFJUrXaaIztkTff5hzu8/u4iyp6phTZp8gKsXGodHU1ZRJRl58yMZX6BNQqbsuxQ4YqqIBIZmSKnT86lRjEwhWikhCzeY5dzxFhNAfwecEf+bcHS77/Frvsb9LsT6EhVKstWyLIVRL6g2pGoLVq8pJhVPZq0U5JckJHJWoGLkMS1rF4uxMlakePUtdMeeUMU42HO3m7KxWvTZl+FJqDEn4k6cDXYQkxi43E21p4XGPMomfJkK9En2yUoWfgXSVgkaXTJsxJZiUU0a0z4KTucI6nJIkHI4hGQEZxbouomxK/cg1dTmTZV9IjjK3UOcqp8aomiRYuXC0eL2UUxR5YtSW+DqqOJN1O5x4hshmg0HhULpPgzaqcvfrvL9Vfm8L2pKakFdCjqx51tZ4gXnxzztZhteQWQ4FGwQkKH2sRPi8OHXd8MY7hUvMKQ99lhlbjOA8aILfltLCdm+f232d39EH4ew5wMDYnjiyTJWqOTtm37TOQIW7Ro8f3hcFe2VaudelNJ7CupRBQOtRpzCIxRaLrkLJBi14t/kVVs3B/x3qtz9GYNZpEMiHXGSQJeAFGYjkitHXTl1XMoNNgZmoROXbh2qYQQNCwWcC6H5bqL3kbOXaBLXueAf8YGrzComfsA+ALUZ3Sv9kn2t8kv7sFPUvA0RTFPHF+t/eDbOkWLFi87qsojy5apKilCM1/C+4koMTFqJ7EVcuomu+U644GGO18OuLDgczF0pkTxFDgLDhEvhChs20brkLzooW2r1haXKHJCCjoUWPXBdSuYK4Qg+qWQxnxRi6SQNNQqE95nh+sMhWDIgQ3sYIPe1SX27n4Kr2V1VGGT5wvkuRS1W6Jo0eLlw7RGIU12eb4s40ktpC5xJavl9Rrp1dpBUxJQco6YkFKmZReaLz7c4WfvLeGgnqnicBZ8515QRKGkh0I7Yi3eKdF193VIiVfrjV0NoYkg6punhTjmC2FupacF7p+xwwUmdc0iA/WAxXfnGNy5Sbk2hms52JDnffJ8CbDagnaLFi8hZokiz3vThtywgqt53WCnEYsgMSBVdTf2Ihk2GgXsbsWEoc3SUoDSdavwzFJSoii/gT5OO0nAi65RKCCo6pOSY5HTIyegAA1OJWQx+3CJImTOeb+cphANWbzLLiskteXHBLdzgL9gM9i9CdflC1CWAVm2QFU5LVG0aPESQ2uLoujXtuJI8fpiXg9g0EgqewdNgQLmyBq1ky41v/n7Td58dwllyYpTKrmBkMYIl6RuuTvLePFUZnJMNQ3Mmu8+zojXkEW/hE7ZNGBjobnOiLfYrzsmNaghK793ja3f/oZqZQKLUtQuij5at0TRosXLhsPSWLceIuQKOVws4FxRRxOmNjEEmEk7idBmdzMhHhesXhbLj1JBpur+ayVOdSlWTStne3158URRKMgV4FDhcIDHpJ6nVKrHN70rJNqYK+pevZqyfUpe44DXOSCgBJURLJYEy10Go5uyW7AVRdFvPOdbJ9kWLV4eKKUaWbxkF5akPrFQwlspLFSgCkRq/whqYlgg4xJjcYWoNL/95SY//f1zKFeRKhjYMLIPr1lVQxJnmyxeLFFoDUML9m2UtqiwGeGItqDmj4llLAKPw5BFUE2jCgV0KbjOiAVjMKgOOPd7r7Pz5UdUiyl4xlFWiOIsFJNatGjx/cH4zVVVKG6xSsFyIRtJVyNS+636vhZDkdZusLCzHhOPCy6/0qMCxjYcOBJRGD7IsRjj1tIcD/DPbDvFC1sdLSvFtmNINIwtqDwgYITHDj4FikLB0JGTYMhi1mzcNOAd5WoLySXO1z7xWuUEy138C/MM9r+GSFNVLmUZYpRPreV4ixYvByzLqpWO0pFdlqGQw2oh+WxlPOQGmBXHp2R5Rrb/6Qc7/OR3VlCWjEioTG1iZiFKsRniUqJQeIAHqSU74DMWXLygeRRCFI4zEh/AHQdSD6W7xHjco8MuPpWCVMG+A3uOhHWZEh9Gc8tm84Iz8Cnpk9cTpqRze/nnb7H96DdUUUZVedKuj2o7tFu0eIkwlcSbQrYPcxVczURYQw5sMjuOeZGENSY4WrP1cNJEE49b8EVK4zDCocICXCht2KvzU2iUklXrcbO7TxOe+za6qirKsgQKbHuCygr0HRe2Xbi8RKnmuEdOQMk77LOiYkCTOSKHdXUti6W22lKQWMcjOoeKHjkeFTklqIRg+SLhtXkO/u5LFnm7LmLZWFaF67rYtk1RFM/7I2nRosVzhBkvID1VfTQOLBRwznTLjRG1k6wqbq2onCMDDZ/9doe33xel0+NQotjHY4iHxkYRQenCvgUJ2PYE254Aupn4eZrx3CMKreWDUarA87Zw7QO478CnAUzmQV8mZp4vWOAfWOETFthVHrGySJRkqQY2HNhyP7YksjjK7Fbdau9T1oOOUlAFK3/wHnvJR5Qqpyh6jdWv53l4nkeLFi1OJ74P0YkpZFuWRVUFMqPGVXApl25eCsSNWmoTDhWrTLjOkFCXbD2aUJVazP8eeyiaGIeHRIxx6rRTF8o6NZJrHGeE48h0zqqqTj1RvJDEfFEUVFVBEGzQ6dwkH8xR/UME/Qp+9wq4Hom6y9fs84Auy0xYY8IlNeYcCSFl45/yuHNluraFCUvMZCpvZZ7wrQX2/vZTOv4SRdGr2d0mCAKyLGujihYtThk8z8P3fbTWJEnyzNeobdv1ZEuLPJ+TQvZCKcah3RLUHkbpZFFxgQm/wxZXGGNrzUe/2uLN95YOWYkfhUaxRcC9xmOiA7oHmV0Ld0pcdw/LEjI6C0TxQmoURVFQliWWlRCGdwi8ddhQ8DcR3OpAvgr6TdCvkHKOB8zzAUv8Lef5H6zwJX0OkOEiT/p41aFZ24ncnIql997hIPuKNHUpinlMh7bv+7iu+4O//xYtWjwdHMeh1+vR7Xa/k/DEcRwcx6nnTyxR6A7qfAEXCrALpIg9AjRz5LzFAReZYGvN+r0xRV5x/lLnsa8vvdwW9+kwwMN4yEIgEs59C0sX2HaMUiVam1T86cYLIYqyLMnzHKjw/S263S9wrX2448B/7cLHXRgtg74B+m3gKhkLbNDjIxb5W87za5bZJKCYoYKjcNC4jRd8jgwP0XjnI7qX13j06KNGQ62UfImCIGiL2i1anDKYxfS7pJ+UUk0tUmuPPF+kcjxJO82XyOC0AyDHp+I6Q67V0zTLXPOrv3nE+39wHss5+e9rpG/iERF36dbRRAAsgHZhW/Llth3jOAOUqqgqTVWd/hGpL0j1pMmyjKqqUConDG/R73+Mp3bhEw/+9x78RRdudWG8DNVroN9Cc4WMPnsEfMI8f885vmSOcZ1B++bgra6CdyoWr/yE4WiD4dCiLMN6LCv4vt/WKlq0OEXQWhZTWS/UM/c8zdYniqJLli2gO5YQRVCCOkCGE1VcZMwbHNAlR2n48qNdzq1FLK2GJx9jfdsi4GMW2MWv3aDmQC9C4cCGAzHYzgjXHQASTbTF7CcgyzKSJEHrCscZ0et9wvz8r/DVBuqehv/egX/Xkwjjbh/yCyj9Gkq/BqyQ4HOLHr9khU+YZ8jxlFGJqlld/g/q1vywwllwOXfhD7h790OKQnxezBcpDMPWUbZFi1MEI4LRWj+zLbfjOHVq2SLP58nzebGnXinBKhClU4xXz7pZIcYCJsOCT3+7wzvvr5yodDIksYfPp8xzR+gFhQssAKFIM7cdVFnhuvvYthSypV77fCOKZyHaF9Zlluc5g8EArXW9MI/odj/D8zaJ4yvEk6ukN1co70TwqS+t9T/zYS0AZw64TcE9tlH8mmUGeI0hoMVUnjbBLPgFoosuIbRhrqI3f439nXm2t/e5fNmWZylFGIYURcF4PD71TN+ixY8dYrVRcnBw0Pz7Wa5LU4PU2iXLlinLLiyX9RS7CbCPomSBlFXGOGgx/vu7dd7+6TJR/+T6pQZ28Pk1y3xFnxgbcaNbAs5D5cB9F+54WCrB97ewrAStNUVRoLX+wdPdJu0WBMEzZUxeaDtynucMh0PKsiQMQxynwvc38Lw9wvAecXyJOL5KcnuVar0DOzb8uYLLNtgKpSZothkBnzOHBn6PbebIiHHYImycGxUVmNGF4iCIUjYXLvwpt2//v7hwYRHP04eiijRN61pKixYtXiRMuvpZoZTC87w67RSSZYtUlgMrkzrtNEIzwqZkhaRxiN1aj9nbTfj9f752osRSIw6xnzLPTXo1SYDUJlZrtZMFt13YsHHsMa67h1IlZVk9t4jCdV16vR5hGD4TKb1wg6M8zxmNRgwGA+I4pqpKlErx/XXm5n7L4uLf0Ol8hZXk8NsA/iKCR66cAC5JIwuKBJuvmONz5tgk5BZd7tOpzYFh6jl7GJ63QqfzLg8fPmL2m+C6bluraNHiRwIjiwVFUXRFFutYMF+BUyDzJjJcNHNkOGiKtOKXf/mIX/zpGrZ78lJZorhDl5v0azPTehfKErAs/x7Y8NCFFBxngOMMAd3UXn5oWJZFGIaNUOdMEgWIoiGOYwaDAaPRqNZIa5TK8P0N5uY+IAzvoOISPgrgIx9iB/QysIh5GxNsPmSRv+Y8v2GJPWShF/NyF2H5o29Zsbr6NtvbB8RxbQCmWluPFi1+TJBubJlpIP0THRnBPFdiLH6gxKEirCubX3+2TxA5LK9Gj40mJtjcpM8+/sxvXIQkQjGAeuCg77uoytQnxBqkKIrn0rPlOA6+738n49NTQRQgoaVJRQ2HQ9I0RWuxAvT9TXq9z3DdA2nF/swXBQE+wtwB5kwe4HKbLlsE9WQpY/Zh148//pZt22Jt7Qp37tw5lPts7cdbtDj7sCyr3k1baG1Tll1xjvYriExKWjanFhobzWSQ88XHu/zRv7zI45aAAsUDOqwT1l5zZr1ZkJu2pHfilgd7NooSxzlAKUlnm36y5/H+DUk863p2aojCoKoqxuMxw+Gwrg9ooMT3N/H9TagqST09cpHFfxGY57CP7FFPWQWECKFQWz3KPy2V4zgDzp/vU1UV29vbAIcKTS1atDibUEoRBEGTdqkqX2w7tCtOEKEZdxqjaycHW2v+6W/XefWtBYKOc2I0UQG7+HzJHHGTcgJprluTew1sOnDLQ6UKy8rwvP260e75eTx9HymuU0cUMC1cmUKyUhrLmuC6+1iqgFhJYbsyBDDH4+vyJpqYAyIZaDuw5AQWCtuZ1CqEnBs3bnDv3j3SNKUoCvI8b4miRYszCqUUURTR7/cbWWyWLZCmK0IJ3UqiipmIotCKrz4bkMQFr7+7eIwkjBRWCtgL3KMz41ztA5eAC6Btsb6+6cEjB7T0T0hEIQv389qI5nlOlmVorZ/5751KooApC5o3plQpbe9WLpaxA7uOCmygTxMtnAgfyRl68n2458rJqzSuu4fr7gEVQRBw6dIlvvjiCyaTSat4atHijMJxHLrdLt1ut7Hl0dohy1Yoij7YCnoV+NOpNgrFeFjw6a82+J1/tnasA9sssRMcvqLP1/RIsDlcwF5F1pt6Q3rPhdgCNK47wLZjtKZpIHweqKqKOI5J07T+HJ6eLE4tUZjhIianppQUt5UqJe4b1yPwtAJ6CFmclH+zkZzhvDx2z5Yax66DZUmx3HGGTR5yaWmJsiy5d+/emWitb9GixWEYX6herzejXJQhRWl6jqoMwNPiFhuYjIOLLuHeX9+i9/511ErvmNNDhfRLfMQCH7LIPtPXlozFZWQtUvWG1JP+iVLm73jeZlOfMB3ZzwtZljEajYjj+Jn+7qkc62YM+mblqVortPbQ2hZqH9gyLSrSSPppGdjF2APXr4ScuDXQgSgQ7rtSXMrB9fcIgvtYVtqwbJ7nLC0t8emnnxJFUSuRbdHiDMGyLKIoIoqiQx3cWivS9Dxpel7WkKhutLM1KAe0x/5nmzLj5o3LfMkOr3FAVAvsM2y2CfiMOe7SrdvxYFr/vEQjhwWZg/CpLylyZP6E5+00w4rKsnyuG1HjuluW5TMZn55KonBdt27Amx6e1g5F0annR9TF6OZztpGTtA/cR35pIVHG5fp3Sk7eFz7s2ihVEIb3pEBev1BRFEwmIl27cOEC9+/f59q1a+087RY/SjxOBl6W5ZkVcpi14zBJQFUFTCY3yPMFeWBYSTHbBrDJ9nO2fnmH6//2PTLH4UMW2CRoZmSPcdgmYIegbsUzakoLOAdcQGSxSn780IWvvHqINjjO8FD/xPMmCvkcpPb7LI2Lp44oTAdhEEjNQSmF1lCWHbJsSXYDIHWKbDbV1AVeQU7cCIkkLiKmXI7kCT8I4MMAUvD8bbrdz2VuN/pQaKa1Zm5ujsFgwP7+PouLi8/xE2jR4oeF6VIOwxDXdev5DGZRldpgmqakaXqm5rPYtk0URUfeD2jtMh5fZzK5htZO7a5R1j0UoHOLR3/xFed//1Xcvo9Gc1BPp7Nq9+kS1fhQT1PcDnAeuIEIZeofjy3p9dqS5VWpHN/frFPcmqIoz5xQ5lQRhekg9H3/SA+DIs/nyPM5mtAuU6JRrn8vtz7wOiJ382ga7Crgjgf/FNbRREoY3m2K2GVZMplM6s7wWhGtFGtra9y8eZMoihriatHirMP3fXq93gnXmUBr3fgCxXE80wR7uuG6bvOeDLS2ieNLDIfvSJOdRgrYjbU47H78FZYb0H99FdQQQwQlUM64ORz+lBwkkniFpi5BvXn93JPMRSE/ct0BQfAI207qTW95Jj7PWZyqnIrrukRRdKiILWGjR5qepyh6h59wYu9IiPRVhDRh4MSSju77LlTgeXtE0V0sK2tyd7MkYeA4Dmtra9y9e/fMndgWLU6C53l0u93HkgRMG00dx6HT6RCGJ1trnybMzpowWQitFXm+xHD4DkmyRrPcdSpYKcDTTB5usfPbT1n98z9H2WYjOq0+HO3IEnhIqukGIpSpRTUl4un0d1ETTUCF523heVvMprjPwrCiWZwaojDdkyfZZhRFnyRZk25Kc8pyJTrlQzjSZFfPmOChA5/4kCiUKvD9DVx3B5CmujiOH0sEvV6P+fl5Hjx4cKZCxRYtjsJcY8dJQh+5CUwNIwiCU2+7b9v2MZuKougwGr1BHF+RBjtULVAqYamkmMQ8/G9/w6V/8ac40QKwQrPBPBGm7nkNeJXGPkgr4YANB/4hgi+n0YRtTwiChziOTM2rqoo8z8+covLUEIXjOHied+IOJ8/7dRFq5nALJbnAb/q8jeXHlqilHGdIGD7AcSaA2IZ8U7/EysoKALu7u0/3plq0OEUwExyPznMQRaFV30yRdgpTxzjN8Dxvpl8CwCZNLzIev0JZinEoAK6Gizm6n/Pgv/0VS++/TXRxBZSxBTfrzOxnYCS0K0hq+wYih7Voshabjoxy/iiAxGxSxQ07DO83stjn2Wj3feJUEIUprp38ZVQUxfzhkw1yMr72RMl00meukYjjU18K2LlEE0FwnyB4CIiO+dsMaldKcenSJXZ2dhgOh8/+Rlu0eIFwXfdYxC7pmQWGw7cYDH5Klp1DaxuzjpnIY7ZAfNpgWRae5x1KWef5PKPRqzKcqIEWt9hXcjY/+0ecMGThrddnlpUIaZibZ7o0WkgN4jJCEmtMzUXrSOKBC3/VgX8M4aD+udK47j6dzs3aVnwqvz+Ljbynhihm84uz0FrGFlbVDIkopGj0kS/RgrGEmkWJEMlfduREAradEAQPse0BJu30bU+abdtcunSJBw8enMkT3eLlhkkjzaZmRKbZZTD4KTs7f8b29p9zcPC+dC6fkII6rTDHJ2uHdFqn6QpJsioqJ7Prt4DLOYPqJuP1R6z+6R/OrICmu/o8cJWpgegK8BbwNhJx1ERA/acObPhPXfjrSP5dy2Zte0yv9ymdzleHognTy3DWcGrO/qxdxyzE56nuyJ5lA61g15EZFXc9iR4qzIRzaXT5IIC7bpOesqwYxxk1TS/wdO3sURRx/vx5Hjx4cOZyjC1anISyFJM8mRvvkOdzlOXZUvg5jnOo56qqXPJ8kao6Um9wNKm7y8ZH/8DFf/VnWMFR0adC1EwuspB4SIRxof73TA1UI3XSrzzZrKbT3gqlCqLoViO/V8qIcqrGc+ms4VQQxVFfp8Oo8LztulllBgopGH3uw//Rhb+P4I4L27acvL/pTPOF9cm17bj2gn/2EzU/P4/neayvr5/JE96ixRQKxxkTBA/qDVSO768fv9ZOMcw0ylmrjqoKyLKlw1kIoKwy7n3wHzn/J7+DP987/mJoxNlhH0lTmJ895qGbNvwmgKFVP0zXjbz36fc/quX3ujHjM2ajZxGnoo9i1nL3pPmxvr9JGD6gKHpT9QLI/QT4OBDzrfOFdFvu2rDuSCF7+lew7RjLSpufPMu8CaUU586d49atW+zu7rK4uHhqc7ctWsziqHuoUhJldzpfobVDWXbodr/EtsfM7sSf1yS2p4Xpu4qiqLmW5Vj9On02k2aj4OHd/0L//3SF3tUroI4SgLEbfwA8RNIQGbCOFK6PNN2mSjapX/nyUAVKZUTRXfr93+L768yqyPI8ZzKZnMrP8dvgVBAFTL1PjsrwlALHGdHpfEWWLZEkq+Y30/sCMfvbt+W7YVJQzWN07T47wranRGHsC562pd1xHK5fv87NmzfxPI9e76TdSYsWpwdmM1aW5THVk+se0O9/AFhYVgLQmGQacjlNncTmuvV9n263e6S2qSjLiKKYpp20Ltnc+HuUbbO89juoKpZcUPMRmHz1HkIS4/rn5mfbiCx2pt6xX2cuBmYgUEYU3WFu7tcEwUOUKjAkYVwfvsvM7xeNU0MURVGQZdljlE8lYXgPrS0ODn5KklyaFqkwd8rMODoRQhQTlCqaL5Vt23ieR5IkT830juNw9epV7t6924S/LVqcZqRpSpIkTT5fduEAJY4znnnk4Qj5RSp1Zv2ozNxro94yCq7Ddh0ecXyRsuzWr6DZ3f2AJN3l8tV/jXUXeJTDK9mRtzkC7iBpp1lCzIFNpJC9JD+qkN6s2hlWWTnd7lfMzf0K399Cqaoh5jiOG4vv00K0z4JTQxRlWZKm6TFDLzC7m4wouo1SJQcHmji+fJgsvgFK5XV9woQbqnGp9X2fJEme+kQGQcDa2hp37tzh+vXr+L7/zU9q0eIFwcwl8DzvyHf15GtodrF73kodI3k9SgxmbZhGPKrpA6mqgDi+xGRyvV4bNAcHX7G//wXXrv0bLDzYqqTn4Vo2k5kqgC3EffrohlEDA5qoQntSxN50YGSDklHN3e4nh0giz3PG4/ETm3nPEk4NUcB0x2N258fJIicM7wIim43jyxySqz0Bop4qGz2zgeu6dDodyrJ8ptCw2+2yurrKvXv3uHbt2iH1RYsWpw1ZljEej7Es64m9EYYkxuMxSZI812P0fb8ZX2rIQa5xm6qyqSqHqgrQ2qaqvNpVOiTLFkmSS2TZMgDj8X02N/8HV6/+r9h2R148VdLrUChpvmsK2DtAeuLxSK1ir/69J1mLkQ25ZCrC8C5BsA5MSWI0Gp3pmsRRnKpVrSgKRqNRM+cWTiKLgjC8i9YWZRmSZSvmt9/w6idbFIB8MTudDkqpZ5Kvzc3Nkec5d+/ebW3JW5xqaK2JY5nZ0u12ZxbiKYzNhEmbPK8dsWVZTd1hau4nc2jyvF/7vfUpy7ARtlSVR1lGVJX822QZ0nSbBw/+K1eu/M94Xr9+80j/1X49pjQ013mMpJ6edN2PEaLo1fZBQKXq4WebtUhGlE2zLtQ/FpwqogCJKmYX8JPTUDJLot//mMHgPbLMtN0/nixE1SG7kNk+CpMDjaIIx3GI4/iZdgJLS0ukacqDBw+4ePFiSxYtTi2qqmIymVAURTMgzHxfzcyCJEmeqyeR2RwakjAEYaKEyeQiWXaOqgzRWPW4gZOv96IYcf/+f2Zt7U8JgpXDjysRVeTIki5tKkQ6mWFS0icjQwhFy8iCoQ0V2O4Iz9vF2AGZdNOPiSTgFBIFCFlUVdWEn8YDajoWVUYLdrufYVkpw+FbJMnaEensYVSVVzfhBHVBe/q7WfMzUzSL4/iplB7GlvzBgwesr6+zurraymZbnFoYXX+e50eG/OjnOs8ZjpOEDCmbYzK5zmRygzRdpixDcJS4Z6g6M5BTj0Om3kFqimLC7dv/nsXFt+l2r3FoPRD7JXGTzsxGrkSI4mjUpGeepOvfS9RApiBWoCs8bxfbHqH1tHD9YyMJOKVEYXY1eZ6TJAndbpcoigAOkYVtj+l2P8V199jff5/J5JXHkIVCa4fJ5Aqet0m3+0XTT2HWcvO6Zt6u7/tPHUIqpVhdXeXu3busr69z4cKFlixanGo8b1I4CbPW56DIsnPs7/+cyeQaVRWAraRH6pVM7m0NlZLI4CtfXFtzIYk7d/4dCwtvsrDwLo+NDg5loAskUigBhUajAJ+KEjVDHxWQyBM1UCmUKmsfp5wsy08cVfBjwakkCgNDGOPxGNu2CYLgUEOekfYFwTr9/ieUZa/2nT/5C5LnCwwG7wE2YXgH192vX2/6GBO5zKpCnoYsbNvmypUr3L17l0ePHrWRRYsWT4CJ5KWzWlFVPqPR60wm14UkHOBGBn84htcz6FUSUeh6V38zg1+GFB+X3P7q/8fCwlssLr6HUiekfk1myUHIBhACmJrFKaBHwSsMmOBwhy5p4yZbMKuKsqy07mKvztQkwGfBqSYKg1mlxrRVXyA+KiVB8IhO50vyfIGy7JzwKqKaSNPz7O2FJMl5er3P8Lzt2o+lZJZgZsnCSHe/LQxZ3Lt3ryWLFi2eAM/zGutziSZWjpPEvxjBW6lMpoP6MtXgaXg3IXdG3P3Hv2DxwrssdB5DEgYWMrjIvFZTewCNJqDiNQ54nx328Zhgcx+znujpnQZLlVhW1liH/1ijCTglXk/fBKPUGI/HJ+q5jRVBFN1u/FUeD5uimGc0epPd3T9mf//3GI9vkGXLtWrC+NkLPM8jiqKnLk4bssiyjEePHv0o85YtWnwXzM64NtFEHF+u7TeQUaW/mExJYsaTD+TfeTrh7sf/gYX/5ToLv/MWylGPv/yVltdZLSQyQSPppOkmcI6MawyZI2OOjPBoB69WUuNIFMpKsayYqjp7o02fFmeCKOBw8e2oZ42B6w5w3QO+2fRPobVLkqxxcPAeu7v/jJ2dP2YweJcsW5nx41dNoS0IgqeOCizLasmiRYsTcNJ1lWVLxPEVMfNTSD3iWjYliVloKEYxd//Df2bhnddY/J9fQb0fC7kofXwJMGmncwVczyA0u/8EyJvaRIecHsXj9ZMVYic+trDtSd3RfvJ69GPCmSEKoJGfPY69pRHH2AF/E6Ya7SxbZjx+jd3dP2Rr618yGLxPmp5vNNmmwP1dyCJN09ZxtkULRDDS7Xbp9XqNT5N0VV8lTVdk124DiyV0H0MSk4Q7//4/Mf/Gqyy+9yYEFbwfw78Yw6UCnJm+KaXBr+BqDn8yhldSsEw0sYvx/XGpWCKlwzfYlZRARS2z14/duP6YcCZqFLMoioKiKE7ogJYhLE3Y+iQcOqdTM7GqDEiSi+T5ImG4Rq/3W8LwIUqJB5Ux/3tauw9DFnfv3uXBgwesra21fRYtXjqYhrooivB9vyEJrS3S9ByTyRWqSpRPaC3d01PHHYGGYpxw59//R+bffJ2l996c/m6ugt+fQK+UWTSD2mDUAs7n8G4C13KIKlAF4uEkPRAK6FJwjgTvxPnKpgp+nLWMoemPGWeOKE6W88lM2yxbEL31Y2VxM8UwG2nhNw8tkC+mFvfJ8fg6ZRlQlp/S6dzEsiaNjM+kwZ6GLGzb5urVqzx8+JD79+9z6dKllixavDRwXZcoigjDcGYcq/g0ZdkCo9GbtctCfUFWyLyHLUfSSfWlkm7vc/d//68sv/8TFt5+7XBORAHdCn6WwNUMEms62a5XQb8UtZPKEW+nu0gPBXhUXGLMBSZY9U7ysI+DBYSclIR5/CydHw/OHFGcFOZpragqjzQ995jpXPXjXeTLslzCSiH3tpYv5cCWL+YjF3ZttHaJ40v15C+bXu8TlErrhqDpIJKngWVZrK2tsbm5yddff916Q7V4KeC6Lv1+f0bdBCb1K7Ot32E8vjGNJkyP2yMXfhlKBLBaMN5Y58F//ivW/uyP6FxbO3k/qBA11PmSw1bSGpRprttE5k7sAxoLOEfMaxzQJ2v+fIzD5NASaUta7DCDvBQ4c6vU7DS82XpBnvfrwfBH3pLZUSyW8FoGr6ewlkuYGlXTL2WmxFv+a0/Gq95z4cAmy5Y5OPgpjjMkDG+jVEEQBE1k87T2y5Zlcf78eTzP4+bNm1y9erXxtWrR4scEpRSe59HpdAjDsHF9FbdXlyxbYjB4h/H41Rlb8ObZsqZ/IFMq9+c/Zmvzl1z+3/4l4erCk8uQx+ZMmKY64xC7h66b52wqzpPwLnusMmnihQrFAR4j3DrzZYGuzQQHtSGgVRcrXgKcSaI4HFFotHZJ09XaNVId+h0uonL4wwm8lkoYa0ZezD400BKeLpei3f7ch38K4YFLliyxv/9zqsohiu5gWQlRFKG1ZjQaURTFU4WeSikWFxdxHIc7d+5w6dIlOp2Tej9atDibUEoRhiHdbre24BF/JtnQrZCm50mSC6TphWkkcfxV0EPY+S+fMEi/5uqf/N/wfuvDdgGX8mlK6tBTzaS6UX0bI4wToxkAOYoKj4qIglVi3mKfNcb4VDOGHYp9PBJsFApZNHyxDDmwUEWFEw2w7ZQXNKrjueLMEQVwqEYhaaeQJLlAUUSHH+gg5PA/jeDNdJpeNA078mqY9n2UBb4FFzWslEIwf9eBXwfEoyuUZYTWHt3u5yiV0el0sG27sWJ+2jxlv9/HcRzu3bvH6uoqvV6vbcxr8aPAUVuOqgqZTK4yGr1Oklysa4mHLshj0Lpgff2vSdM9rl7+N9ifh3ATmCvhJwn80QQu51JvlGcgPRF3gPsIOcikOYXGReNT0ifnAhMuM+YCMV3yhiAMRrhsE1DUFQuFB3iSeUgs0BrLSutJdj9+nEmiMFGFWZil6Nzj0PZCadFM/8FEPGIO7Tw00rZ/AAwRmRxAB9Q80ANPiZzOE500/xCRpUsMh29h2yPC8F6ThrJtuzESfNoBL1EUcf36de7cuUOe5+0M7hZnHkbdZBrpwGY8fpWDg5+RZcvi/Fr3KTU4EhWUZcKjR38JwJUr/2csy5X6QK5hx4Z/rGsX54vaLtyMt9xAitRiG+6iCSnokXOemEVSFklZICNqaGD2EKSjYpuAbQKmfg0B4MocigP7Zck4NThzRHE89aQoS5+ynA1ftbTpv5fAG+mRhh1T0NpACloTaHTTHjJE/RqoBbAcWM0lbXXXgzsuSbLKYPBTLKsgCB6glG5smpVSTCaTpyYLz/O4fv06Dx48YDwec/HixWOzw1u0OCtwHOdQ4TrLFhgO3yJNz8lib5SmfiViksSC6Yhp0nSX+/f/E73eFVZWfoFS9TKl6v9opDv6rieW30FZ/24MPKrvNSElVxhxlRELNTn4lNgzvk4noUDxiJBRszwaxZMDEwUThaKqbX9ejqr2mSOK41CUZY+yrNNOGnlX13L4aQz96kiqaQDcRoiidoNsflcC60j4egXUebB8uFjA78QwtNA7LnF8BdueYNuj2j1SN01EAOPx+JlmcF+5coWNjQ2++uqrtsjd4kxCKdWMLjW2HJPJNWmkQ8m1uVzAlVysNPxKJLAPXfR9h4OHX7K19StWV/+ITufqyb5Nxi58YEkqCJBr+KC+aQJKXmXAe+ywTPqN5DD74mNc1onIserHO0AEpdd0ZVtWjOOMarL48eNHQRQyxGRmkImr4UoGF4ojsucUeFjfskOvMUWJKCNypP3yIniudH1u2/A/IqrYYzy+geMMmJv7AMuKUWracWoGwzxtzUIpxfnz54miiDt37rC6ukq//y0aCFu0OCUwRGGiiTxfOGzydyWT2sLrqWziLIko9CObjf/3bxmOHnL12v8Fz53jG5f1Zo9nnF2HQIpNxSUmvMsuKyTfcliy0UgpNgnZx0PXZWzwQXehtGAoPk+Wymsz0ZcjB/UjIIoTYCEqpmNDsPaQiOGbZmNXyM7kK+TrcxmWlLT/Zwp+HVImXQ4OfobWLr3eR7juPjCdZ2HSUE8bWSil6Pf7+L7PvXv3GI/HnD9/vm3Oa3EmYIhCOq5d4viyRBOWglcz+NdDqRl6upGm5+mIh1/+Hc7vRbzyR/8L1l925VJ93MQ5I3nvz7rAxki2oCSk5BUGrJDwNAlcDWwR8CnzTHDqv2wDy8A8xDZsOrIGWOWhaOLH3nD3Eq0+FZK7fJpB8WPgAah9sKTphz+MRQ1lQ1l2GQze4eDgp3VXqexdXNel0+k8kzeUge/7XL9+nbIsuXXr1o/enbLFjwNmWiRAWXZI03MSTfQqeCcRk7+GJBSjOw+59f/5D8y9dp2L/+YPsf4oh9+PpSHWRtwUZmyb0FqikLlSopKonk/RSGHBp2R+Jt30bSBbQ4/PmOMRUW3qAdAFzgGBjE/ddKAExxlh21ILedqa5FnEjyCi0EfueUJ9yfgUP2ancuJrHyCdnPPgWBI6/04s07U2Hcqyy2j0NlUV0u9/iO+vo1SB67qN3cezSGdBbD8uXbrEzs4OX3/9NRcuXGgltC1ONSzLmiEKv26ks2Alk/6kQEiiykp2fv0R+1/c5PK/+ueEq0vyAv1KIvelEj724ZEDY1OLUGL+t1II6byfCOmQANuIMEVjoXFmlvpvQoliD49PWOAL5pk0cYgHnAcWpdluy4FtG0WJ6+5j2xO0pvV6Oq0wXdHmC2lZCZZlplTVRmJDC1I13b1gIbuDgKeLKnLkS3gZcOTpb6fSnfkPEWzatTfUa1SVT7//21o6mx+akvesZAGwtLREGIbcu3ePwWDAhQsXWuuPFqcS09n2knqqqvp7ulDKTUGyvcfD//Y3OJ2Q6//2f8LpBMh1Zkkv01IhcyheSWHDhT0Lth25hFcKUSKuFdApQaVIOnkLY9lRosib/oeTYeoRMTYbhHzFHLfp1konI8s6B6yBrhvt7rowsLGsCa6734xT/rGnneCMEsVhBtc4zhjLmgCLco4zJRYc23Y9oMSgA/SQXObTnNwBElXUErmFUgpyQQV/2YFth6rwmEyu1l2mNGTheR69Xq+JLJ4VURTx2muvsbm5yc2bN7l48SKdTqeNLlqcUlgURXeqRuxUaKdg59efsPvRZ1z4w5/Ru9FB2feYFh1CUB0gAN+BNRcupFKnTi25tv1KLMRVDiphKnMfNX85qRf/JZJm8JAhhgKLFIsYh1181gl5QIc9PPKm7O0Cq8BVoC+S3m0b7niQg+0Na7VjSVlWberpNGOWxS0rqQeIVEDdDLPpiM56rZjpowiQUHKAKCS+LVkUSKenL5JZ3Hr6Viwh8hc+fOmhNxziZA299/vk+QJR9DWuu4/n+fT7fSzLIkmSZw5TLcviwoUL9Pt9Hjx4QL/fZ2VlpS10tzh10BqqyhfvNQtyRjz6L/8NK7K58W//NU73ANQXiDEfUPdOS7rHRykPjQ92PZvCn331ClEwxsAYRdpcyQpFjMPHLDDGYamuVeS1d1OCzRiXuL6f4NQEYSEE0UEiiYtAFypLGvz+IYK7LkplhOF9fH8LEN+5500U06jtMH7I9NeZJIpZq3HpYRjj+xu1n31tM35gw0e+5EUv50y9xc8jYe5NTPHr22G/fk5Wk0UoQ1XeS8Qm5I4HvwrhE59kb408nyfP5+n3f4vn7TT++7ZtP1NT3iyiKOLGjRuNC+2lS5fanosWpxSag+HnbH36N5z7f75F79XLKHsI3ENk6FWTIlLk2Ixx0LhUBDPNcSe9rkGKTYxNjk2F0Mg2Pnt42LV9h67TUfJMVVcwLBQOQg79+rYA9EA7Ekns1yTx9xEMFZ6/TafzdV3IluzG8yIKY7Loed6MVfvUKDXLMrIs+0GO58wTBVCneLZwnCFZFsq3rgQeuPClJznPSINSyI5lFZHI3sEMVv9maIQs0vr+AqhFUD5EligwlgqxDfmrDuVOh9HoDbS26yL3Jo4D3W63sfvIsuyZ85u2bXPhwgXG4zF3795lfn6elZWVNhXV4lRAKUVRJNy9+3+QY3P1z/4V7quWdGLXkYCpKSo0PhULpJwjYZ4UX5f0yHGf4JUhLiCKCTa7BNyhyzohZU07BQrRCppNolcTQ1B7N4VM09ERaI9GU58p2HBk8/frAAYWlpUShvfwvC2Uqqgq3Yxm/iGhlGq63aMownGcY1kErUV9laYpSZJ8p8zFSTiTRAGzqSdp03TdPTxvp3aQrU/2gQ2/jMRi/L2kNg9TyBfkSv24+0ga6tt8qBpRVhgv+yWEMPrg+HBOi7eU0vB3Hcr1iNHodcoyYH7+VwTBg6Ypz3Xd5oR+k2pCNOnHv4xKKbrdLjdu3GBjY4Nbt26xvLzcNum1eCEw31GtNQ8f3ufrrx/R6fzfmVv5GSoYg5og11kMZDVNaObJeJUB1xixSEqoi3qumMbVJ2v4NVJfrttiydSYLjljHPbxgNoanAiJErr1TVJbsvQ5EjlgQaWgVCKA2bHhlteklBmJCaAfbNLp3MK2Y6TrvHwuROH7fuPCa6YCHoVJRzmO0zzuWRwiHoczSRSGPQ3kAxoRhveJ46uUZW3ZXdZF7X8MxZZ4yUzKUsgX6Gp9/xDp8En4doRRInWOcf28OWAF1Ar0fdGBu8BfRVSPAiaT61hWhm2Pcd0DlKoIggDXdQmCgDzPyfP8xF4J27axLKsJcU8KdR3H4eLFi4zHYx49esTBwQHnzp07pLpq0eJ54ODggIcPH9LrzfPmm/+a0egtykPLjHF4LZpI4hWGvM8OXZ1jIxqRqAKvqodQzho91ypZrYQohjZMbFC65LyKmSfjAK8eR7SEqBWXJVooHSGETMlcicQSEigUjBXs2XJ74MJDV2S59SVp2yO63c/w/Q2UEr+5PM/Jsm9q3v1umO3JmkYRh73uzP8bAjHS/KIoiONvmzF5Ms40UcwOLxIn1/u47t5UaYGSE/2FD38XyTzdpbIOOEwa6gKSm9ytb9t8u9qFcavcR0hjD4lMLkK/J70WFvBXEfqhy2RyHccZ0u9/iOMMAJqahe/7jxnxSmM2aH6fZRlpmjbEMrub6XQ6vPLKK+zt7XH79m0WFhZYWlpqDQZb/OBI05T19XUsy+Kdd95hfn6R4VAxHh/d/Mh1o5ulPOE6A7o6xwWiUnrp/BKsEgkZypmbcetxRRhlphmPbGm0CynqZNYCcAOqc5C7QgB3XJHN79tiKjixJOuQI6qqSR1RmFndStYVxxnQ6XxNFN1GqbypCaRp+oM2wiqlCIIA3/dn6hEADlXlUpYhVeVjWWntOzUdjOE4DmEYfm81izNJFABFUVCW5SEFgOft0+t9Rll2yPO5+pFKzMP+e0d2CT+Ppz4zSoGykRxlF1hDZLBfIwv/ydHFcXuxCsUAmIDaA/0q9Jbh97WMXv2PXcrbEYPBu3WvxYd43o48T03Dxict6GY34XkeURRRFAWTyeRYYdwMRZqbm2NjY4ObN2+2jXotfjCUZcnOzg57e3ssLS1x8eLFutGUGQ+2WaTIRqzCp+Q1BlwglinFhZCEmwMxqJhpbsncjEDJAULwe9BXkFvSP1EoS9RS+jJU52Hdh9+IyISHjmwcK42ilEjFdH5TTi9pBcrJcd0DguA+nc4tPG8by4qRQWmaOI6fyc/taWCu9dl0k8z1uM54fIM8X6iJIiYM79Htfonvb9QflMb3fXzfZzKZfOdjObNEYVIwpvFMRiyWRNFN8rzHcPiTGUdZJWHkh4HIZjcdIYzzhXjQGPviJsKwELKQxfwwdC2kq/AoqVCk2HUBrQC2QDnyWv6ckNK2hLTlXrcucCv6/Y/w/W20Lhuy+LawLOtQvnI0Gh2LRmzbZm1tjSRJuH//Ptvb21y8eLGeNtYSRovvBq01w+GQjY0Noiji1Vdfbb6Pci2C1i5aW7WzzaxDszTHelQsk+DpCr+CbgVuWZcyxsjlVGAyVdOIop4hhBYtiWeDW4G2VZPQgjk4cEWx9HcRDMGxRzjOANffx3FGPD7NrLHtBM/bwfN2sG3p+JaUE+R5zmQy+cGjiakLb31UWpEka+zv/7x24zUkPF+TRsD8fIrr7gKyBhiDxu9aqzizRGHmVXteXbiqFz/HGdLrfU5RdJlMXpEGOEMEhZZdxTgSC44/G8OFXL50zdppAyuIKsp8Y6dQwCIp1xiyREqBxQYB9+kyqOfrCsE8AHyIQng3lZ6OfwwpS6OG8ul2PyMM79d/S/Nt129T3LZtmyiKGrfak74MQRBw48YNBoMBDx48wPd9VlZWms+txY8bJlI1KcwnKWbKsqQoiicuKoYg1tfXcV2XS5cuEYZh83shC2lc09qSTZqna9WhRr7rkiIJKOvhQXU9wgybTJiSxKT+fxM0q/olusilmgPBbHyvQIdQhnDbh48C1LDC8zbp9z/G8zbrBt2Ux/VRyXU4nTdhrktj12EUiz80psSr6jk8LpPJ1dpXbtbxVFNVAXF8pRbM7GNZMnLJnO+XmijSNCUIgkNRBWg8b7u2/84Zj1+ZGdyuapWrLbK3iSX24W+m0sGtzIs4SCFskdlvqUbyoDcY8lN26FJQAddw6ZPzMQsMcJEt0DqoedCrYjvwdgqf+jC0qKqI0ehVsmyOfr9LGN5vdi1PglJVPXrRFK+mxS7zBT4JlmUxPz9Pv9/n4OCAe/fuEQRBSxg/Ypgdqe/7h3T3hjCOwijv4jgmjuMTd8smggBYW1s75gxgIl2pqXkURZ9Ku9N59E0hWxZpn5KAUiL02utPldTpIeTSizm88TelwRwRL81cMkXdeQ1dGAbwuQfbiiB4wNzcr4miOyiV1Z/Pt0kZTd+bqUuYdO/z8Haa7ZUAqCqXopirU3qz51D+XRSdeoKgj3xw+sSNwTMdy3d+hReILMvI8/yY75FSJUHwCMsSy4zR6A1xsJxNQiacnIpqzkGEpKH2kSK1wKNikYQuBTYaG5gn4y32GeLyGfMUKGQrtANqGWwbLmWivPrMh0qh8UjTNfb3O8TxVRznmzrFTTi8XYfDI6BsJux1Op2GPB8Hy7JYWFig3+8zGAy4ffs2URSxsrLSKqR+RDCFTKOsM7WvJ6UczWLiuu4h6XZVVYxGI9bX1ynL8omz3U0zGCiKok+WrUhndqcQKRMmoihrkXqJoyvU7EQA8zBDCCetx80cChoFVKFgiMeYAOjClgd3XZxqSLf/+QxJyBOr6rBS6EmfjZmqGccxo9HouTg5P+54tH7Som9RVd6hxzyui/tpcaaJwuyiHcdpPPANlCrxvD3m5n6N6x4wHl8nzxdnhrrXiqiHDgw6cL8udL+dSrJUWUhEsYQs+tOo4qgvpQL6ZLzCgC1CNgjQlKiGZHxYrgfCbziS9jK9qPk8ed7/FgNQNEqVOM4Y193D99cJw/t43haWlTaW5uPx+BubbWzbbghjd3eXr7/+mn6/z/LycksYZxxGGhmG4bciCAPzGMuy6HQ6+L5PlmXcuXOHLMs4d+7cYwnCsiyCIKDT6eC6Xm2SeZ00XZZd/41MxCMkwD4akcF2Zhrqjr2q6ZGzOE4WteoJG7QtMtmxstgkYKzn0EkP9bWP2tFE4W2i6BZKZU3fw6xi0OTxHcc5lOoxmFUaPi7S+iFwsrKznKmtHB3HpLGsuC66TzeLRvTzXXGmiUJr3VT0+/3+kVBN2rM9bwvX3SeK7hDHlxmPb5Cm56mqujBR1aqoDwKxNE4saZrzABUgvi+7iAQWciziung9ay9gA6vEXGTMNn4dVYwQ9dQCBEqa/tZd+IdQou/aZRPsmYHzTAt/RuHhSX5Xpy5ZEZBlS0wmVxmPX6XX+5Ru93Nse3xIa/1tlA62bbOyssLi4iI7OzvcvHmT+fl5FhcXD0nyWpwNKKXodDpEUfTYFNM3QWvN/v4+jx49IssyXnvtNaIoIkmSZtExSp/Z9FYYhriui9Y+4/FrDIdvUeqORNHvJqJ7VQcYNaFNRZf8uEWHIQeFkEyJXCuGLKSxWm4+lD6MbdhUPg9Vl0wvwv4cfO7jJCOihbs4zgitJW00Ho+PNckZsjCEYT47U7NJkoQ8z3me0FqTZRlVVTXkZVkZnc7XpOmKzB9vPiiNUhlRdLc2Iy2a1/immtO3xZkmCqBxZTU7odnIQu41UOB5GzjOHp63QRxfJUlWSdMLUuzWCGFsOvC3kVhxvJGCo0AtIFHFGCgpsNjFZ4KDS3aI02cHpsipypF5FilgTzvEHzjiDVXMGCErXV8Eley+OpUYD3YqeZ6F+OGPLNiy0TsOaXye6iCgLAP6/Y9xnANcVyR1aZp+652EbducO3eOpaUlBoMBd+/ebX7W6XRa08EzAtOT8ywkkec529tb7O7uYtsOly5dot/vNz08QRA0RGEWHsuyDkXzWjvE8WUGg/fIiwWYr+BnCVzNwYoxMyNUPdO6Tz5TjmUaRbhItG9smDwaF3Lc+uaDjiB14cC2uEuHLebQeh61EaE2IfQf4PvraC3WFqPR6MQF3xTy0zQ9NHipqqom7fQiUBQFRVHMRIaaILjH3JzHaPRmrXTysKyEMLxHr/cZrrsHTCOSPM9bojAoy7JpVzf2GLNkYa4Zy5o6P2bZIsPhOyTJJfK8h9aekMUDRwzA+hVczMEKQK0CmyjGlMhM3R18emSHVOIWmoBqxnJAI6mnEahILoIbGfzxRD75R44kV8NaG7hSwsUMLhbQK6UA6OvpuMek7ibdsuGmD5975A/6DAfvACK5dZwDfN8nCIKn1nmblNT8/Dzj8ZidnR3W19dZWFhgYWHhmXepLZ4PTAPntz1HWkMcp2xs7LK7m+B5Ha5c+V2iKKjrexlaV41y6vF9PjZl2SFJVhkM3iHNVqTE95O0jiYKULtIj5Jsofrk9Mkx42MaiYYtl0pTzjDk4c/82xNhUxHC0IF1FXCXOWJ9DpIV+DrEGU8I+/ex7RFFkTeRxJM/D90UrU8DiqIgTdNG4iokltDpfIXnbZPnC5RlVGcT1uu0VNnIk7/PzvEfBVEAjWKjqirCMGzcWg2mhFFhWTFB8AjHmZCmt4njy0wmN6RJL1fwuS+7+E4lZQrmke5tSecM8LhDlxUSejO7IhDvmsNF6RhJQS1Lc1+nEqXVSgH3PekEnS/ltmDaUmsJCLXvvtEG+sCcBSue7NJed+EvOxQf9xgO3waoyWK/6cp8lpDZeEh1Oh3SNGVra4v9/X2iKGJpaantxTilMDLYJ0EWQxgMJty/P2R/36PX+0POn38b2/aYTCCOi8Y7zbZHOM4Ey8pQKuPwnGjpDs6yReL4KnF8SSKJPlKP++OxfM9VjNjkiBGgR8V5Yvr17PoK2f8UtWWHDupWJOGq6eVkga6jicKDoQsPbI9PmWNDraCri7A+j7pt4zsP8P0NtBYbi+8yC+ZFwaisjDgBqMkixfc38P0ttFZ1fXNWxiuE9312jv9oiAKmZGH6KzzPw/f9pnZxuNitcZx9HGeA72/iuvuMRq+TpufQQ09qFucKseIIXFEv1X5QKRa36XGBmDc4wKrL2yWKCQ7VoYC6RMii7hZSiKb8tQyu5XKVOLOyD0MOYyQaGaBrOaH83gN7HtVbgNejmlCg+KzLcPgWlpXS632M5xX4vn/M5uNpYCwELl++TFEU7OzscOfOHRzHYW5ujvn5+dYe5JTAsqxjgo6jiOOYnZ09trZyxuNVFhf/H6ytXUfrPkkyex41lpVjWTG2HeM4IywrrvsPknrHqijLLkXRI88WyPJ5tOWKaOMXYxlTeiEHOwW1jqSdJNo+R8I1hrXdhiCxxLepSz2XyKvJopzyRKWgsiG1xbJjy3L4gEW+YJVYX4HhOfg0wt5K6EQ3cZx98jwnTdNTEyU8LYqiYDQaobUmCIIjm99p9ADT+6qqGtXa95U2+1ERhYHJ7cVxfKhQ5XleE8aZnZdSFY5zUI8wvc/+/s8Zjt6SesVfdiQt9G4C7iqoAeI2W7KPx4csMkfGBSZYwBiXTYKZrz8IQYyQrVHds2Bq2P7sSdQIawyAu8hoR+nhsKmaol+BJQNeVBftnEO9ehk6Grodin/qMhi8h2Ul9HqfNP0V38cXxnEczp8/z8rKCkmSsLW1xc7ODmEYMj8/39YyXjBs2z7WE6OUIssy9vb2ePjwIXnu0uv9Mb3en9LvX0HrAFk/zVZ0+tyqtKlKn6KYJ01NlFxJ/4FZmLBEkOEDFyp4JZaaxCup1NrUGNRdZPaEbHbmSfkJu1xkPE3R1gLEPUcK02aInaMBV7KzpZIyRWIpDpTLg2Z86WUS/QpsX4a/m0f90iUqbxH271BVCePx+ImS8dOO2cggSZJG8ny8x6KiKIqGGJ+mRvlt8KMkCgNT9Tcfsm3bTfHN+KCY3J9SBZ63Ra/3MXk+R5qsoR+4YlO+UsKlEBlYtAcMqFBsEvARixRY+JTcpcsDOlSo+tIzJ9L4Dzz2SOvHbCJEtAVkuGj6ZKzUHv0A+3hsE3BAQs5IrqZVF/4EyCH/oM94/DpheB/XLRqy+L5ylZZlEUURV69ebWpDRiUTRRELCwtEUdSmpp4zZusTeZ6zv7/Pzs4OWZbR7/e4fv11LOtdDg7+gCS5gNZmtzIDhUSozkmbilqdZyObJwdpp56vZIa1GRC2UIJdzGyqHmKav/rkvMEBlxnhHhWZq2mPXWpPg+tKKTIUI1z28djHY0NFbDDHAecoqhuwdQH+Zh5+6RMkD+nOf45lTZhM0u91V/0iUZYlk8mENE2bNWx2Y2bWue9L5XQUP2qimMUsaZjhHrNNSUIYmiBYZ27uA/a1JxK0rz2pWZwvwF9EJuTFKHIyLL6ixw4+DhUHeIxwT/jrRzXPRyEzuWSC3h5Q0qXgGkNuMGSFhLAuAsY4bBFwix636THkAdgduHgRfs+CDZf03nmS+DLd3hDfl5rNDzGJy7Zt+v0+/X6fPM8ZDAZsbm5SliXdbpder3csXG7x/cOQ8t7eHoPBgPF4jOd5XLx4kV6vh2W5xPEae3vv1R5BRyO/WjCxVMqiv1Q2Kc1j8IGFQrqtPS01tX7tC25rUBmwjhDELqbI0CPnbfZ5m316R2LumaOgUjLzeoLLULkc4DHEYR+fPUImdEiYp9IrUK7Ag2X4H134VYA32aM39ylB8Ig8T39wP6YXgaMKLYMfmgxfGqKYhfGSNx94EASNDlypnCi6S57Py3D4YUesN34Ww3IAag2pHWwCFQk2jwiP/IXZGoVi2hBx4tEg+6hHSBd4hU/FaxzwU3Zrue0UPhk9MpZICCj4CIuJuoeyO3DVhXcTyt2Q8eQGnr+B7280flDf5yCTo3Bdl6WlJZaWlsiy7BBpOI5Dv9+n2+1+b5YCLztMlDgajRiPx0RR1PTAXL9+ve5pMCZ2PYbDt4jjy9IpPQtVE8Q7CbyVwlpeN5w+5g9bSMRxaO9Tp03VBCGJOxiHWNC4aN7ggHfYZY7D4gqzvOV11LBFwEM67OExwCPGJcenoIdmAa3noJqDcR91N4K/jVBfWHj5Fr3+J0TRrSbl9Dz8mF4knmek9FIShcGsp3xZlnQ6HTzPw7JiougWaXqB8eS6DD+65YkyyemDusi02PykSMH4RnUR8bc+4fEaIYhdJD2lWSLhdQ5YIJ3SizatNVL3nldiG7JNwC32gIfQieAnDtxxiT9ZxRu/iuOMcZxRbf0sNgQ/9Ixfz/NYXl5meXm5sYAYDofs7OwAMjdjYWGh/qxbye23weyoy729PUajEY7jsLKywtWrV1lYWDgUuU0XEYs4vsRkclUk4LObGAeJlH8xEdHGQjk1JP3GUzLrBhsjkfAmEhlPPccUNN9nQxKz2ygNDHC5S497dNgkYIBHiUNFiMyvXpRb1kcNA9jw4EuRh9vrKZF9j+7C5wTBQ5SaMJnEjQKyxfeDl5ooDEyuvSxL+v1+rZjaodf7hDzvkw1XZG7uWg4XAX2uDrFvIYXqx8FFnGgv1P8+CRVCOlP53gIpSzMkobSkhaNK1LsTSwp7iyrldQ7YIWCgHgEBrDrwRzbVRo/hztuARa/3Ca67S6/Xw/f9xv3yeYTllmU16SlTmDPmckVRoJQiDEP6/T5hGLbEwVTeWJZlEzGY8xUEAXNzc1y6dIkoioiiqLFvOfwaoLVNlp1jOHyTouhxqGjtAK+l8KdjUeB1qscHvdNXRb6veX0bIhucA+Q6ODwhUqOJKHiNAYt1jW2WJDIsHhLxGfPco8MYlwqFpgucR+lzoDvi9nw/hE8CmSmzY2ENM/zqIb3e5wTBPRxnQFlmJEncXMstvj+0RFHDdHibgrdlFQTBA6LoLsVgnuqmDx/mMDeBro+MWCyQuRVHLYttZC73KnAJEZY/7ipUiBrKhrrT20UftgfRdf9dKfs35cpgLhu4xJiLTBjhUqkH4Pakv+J3XYq/6TIYvEtZRnS7n+D7m0RRgu97JEnaEMbzuqiM3DYIgibayLKM8XjcKHO01nQ6HTqdTlNDMpj1vfkxYPb9GEnjZDJhOBxSFEXjxtrtdjl37lyjdnFdlyiKGuk3cCRfDVo7pOl5Dg7eJ0nWODRASGmJHv7ZBN5Ja4uYJx5pfZ8iFvo7SE/RsL5//M7dresT7sz32ZDELXr8E0tsEdZqPlB0UbwG+gJoX9wI/ikSufp9B1UUeN52PXHuFp63hVKi9hmNRs8lYn4Z0RLFDMyON89zfN/CtmPC8DZJskYyXIUPQrhQyMXlenUKSiG7KkMWCpmYt4REEyFPvgqt+vEdIEGjibHJsOr9lRT4Uqs24OQwJXUouciYB0QMGIJ6CEEEv3CggvLXIaO918j25ul2bja7rzBM8DyPLEuZTOJjPj4/NEy3bxiGhGHY7KKNQm00GrG9vU1Zls1scdMXY2TOjuM0x3taSeTocc1KGI3W3dTLzGexsrJyTAY5q9gzt6n7wGyqyaYsQ5Jkra5LmJRTc0QS3L6WylCtbySJ+jkMkDraIyR6KDk5lXoYMTb36bBEQpecAosxDhuEfMY8G0QNzSi6wFXQa1B6YqD595EoD/cVrjMg7N2m07k54w4tc2mGw2GbbvoB0RLFEZj+C3GTVATBBlF0iyxbonrgyRc3quB6Dm4X1HUkcpgt0tWOZbPDRY42bDfehYZYVpHc7oQtAu7Q5RUG+FRUSINRUT8ttqYv5VBxiTGPiPgCh5wN6QBfAf6kgLWC6kuP5OE58u05vINr+PY2nreJ5+3g+wNcd0hRpE0ntzFDe57FMtMQaRolTarKHEue5yRJwv7+flNXMt5GYRg2i6hxATW9MiaV9V3ey+MIaDrHeJoqMrPNZ+WKaZo2DqTGSM91XcIwpNfrNe/5KDHM3mbfj/xt6r+tqCqr7pKOyLJzxPEaSXKJLFuqi9czCR8buJLBz5MnF60PIUMK1A+A2Z6EJz9ZoRpl4BiHXq0UHOAyqBWC0+ZUQxKXIffgnie+a78NYKjw3B36/Q/pdG7WM+elUJ6mKePxuCWJHxgtURyBSUHJAmRjWQlRdJPJ5DpJsipSWQUkE3g1hciTNtJjL8S0MTtT0na6a0v3EEzN/volWG4dnZTAXfbRfMASADcYEqiSQgtZNFDTu3ky3mCfMQ6P0GTqHpVKYWEFfjaPerUDOwHlrZD43grJ7gr26DreZICrdwm8R7XL7gitJ5SlLGyGOIw52vOGmcjmOA5BENDr9QAaPx5DIGYRNrn8Wb8ey7IO7cZnF9xpD830ZnoRZpVZsyZxQBN5FUVBlmXN3HLzc1NUdhwHz/MIw5C5ublmfK0hM9MMOk13WoesrqfHYAjJRmuZHFdVPlXlUpYdimKutqtfIE2XKYoeWrs0nZ2aqenk1UwmO76afkuS0MgmaI/DJPGtzyITXL7GwUKbtj2mf7weNMQV4BJUoUjS/6Irs1sm4Lr79Psf0Ot9WkcRulEuDofDH02vxGlGSxQnwEQVZofnebv0eh9TVQ5ZvAQf+bBvwXuOTMfr1+Z9thYiSJWQw4ENO7bkWTcdMfPLlVwjnUosmH8eS6NSEIJ1BZRFxV02UPwTiiEelxmxoFL8ehrY0evbQnORCQ5bPCBii4AdJmRqg8LpUsx30fMdqkt9qnEXvR+R74QUm/OoB0tMNq7gxge4+gDf2cJzt+h09gjDmKJIKYr8mI//94WjC7fZkZvF/qS/Nbvjnp2fMbvDn30NQyizx37ULtu4pJrF2eziZxfu6YKuUMo6FMHYtt2QRVVVh8aKmvTTLGGZqXOHZyBYNRk4NQmIl5IMo3Eoii5V5aO1S1H0pHO6jCiLLmXlS/RghtYYRbaqv5vzlUQSP0sk5RQ+zTk0yr0hxtTvaVFxmCCU+OcjKdo10MtQBrDuCEl87KOyEtfbpdf7hG73i4YkjNuA8XBqSeKHR0sUJ8DISC3LotfrYdvQ632C44wYDH5CHF+iuhXAA1cGt/dqS/BAiyRpzxaiGFsQKyEPE2GY77RCJLdf+GKg9pMELloQ3QCrT6Xus8kOu4R8wjyrTLheN991KHBnSEMK4JKCWtMTcixGOKTYjHCJcRjjMvIDBn7EcLHL5PocWbmAThbIN5fIHy3Ag/NY91/H2U7wy018dwPP2yaK9rCsIUWRkaZScD3q6f+0sG27KWzPLphmYTWLgZmD8G3+1uxjZhd813WbFI9J+8ymc2Shlk/T+BhJysbm5D8r+2LLkpmdSulDjzs6g9ocz2xabApVk0BEmq6QJGsURZ+y7FKWPlUVUOE0j9PaolljLTVVYMtLQVCbWRqb+qjekFwqJIINZtRN3yqiUEga9RUkpbqJqPSejjAU8nnKgdeyV5aAZdCeeHd85Uu66RMfq8wJo9vMzX1AEDxCKXGyNZHjNw3navH9oiWKx8AYDDqOUw+CyQjDO9j2BM/bZTK+Rl7MUW26sOmKFMlceBVQT6STOdc5tpMeeX2PsvTR6y4cdCTcfiOFNzK45ECnA+ySq0322GVAwCMilolZImONMatM8M2EsLom6emKvq5Y0dOJfBUySzhWigPlsKc8NlXIptNjpzvPsHuB4soyerJAtTFH9mVE/sUNJg+v4IxH+O4GUXSHIHhAtzvCdR3G48kzX6xmdOvsvHOzSFuWDehm1+15XuPX8yzENFvHMKmf6e7dqtM4DlUV1GmcaLpjr8ITiUKOc4Lr7uN5uzjOAZaVM+vgaVJmJ00MlJoJgEWezxPHl0nTVZLkHHkxj7YcWU/70v2s6wXfDKSRLupC1u9D0FJ3mC8lYuhWUqz2q8Nk8tRQwBxCFMuYuRJy+ybCcOvnhYj3+My99qCsN1YfBvDLEO67WGVGGN5mfv43+P4jlCqoqrIZRfpdNyktnh4tUTwBRVEwHo8brb9lFfj+Oo4zJAgekKbnyPP5ekE5fAVaVobjDLGsDNseY9tjzEB3KUCGZNkCabpKli5S3gphvSMRxnsuvOPAcgflLwB7FOyyp7Y4YMxdSu7R4V12eZUBvpagPqqgVyr8qnZgMPOH62JJqSCzClI7YWSN2VP7rFtb3GaTR84C+/0Vst55uLiCfn2B8pOI8oslsvUl0v1VOtEX9Psf4/sKy5IF92mLiLOjOmVnrepUS4jWFkqVtaV1jmWpQ70VT5tmcBynkdlKkdhCa4c875PncxTFXJ3aCcjzPmXZoSxDdOVQafd4F/MMlCqw7RjP2yEIHuH7DwmCdSSfP52BchwSfVSVT5KsMh6/wWRyhbLsoj1LZpFcTKURbrkQguhX0khjYPyWTnJGsY50TX8vQjATtxqRxkL9Po0r8pNgRtI5ctP1wVUKhpZskD4J4HMPth2Uzul0v6Lf/wDf30SpAq1FOjwcDp/7pLkWgpYovgFZljEcDhubX0kfjIiiMWF4v04PHC9mK1Vi2+L+KlFFs2oji6MoVfJ8kSS5QJpeIMuWyW/NUW13JC31RgpXfTjXQ0UrwAKl2qRkh0dYWGiWSLlATKBhrqgnTpbICICcGbKQgX2+DV0X5t2Sc17JZSfjqj3hvrXHbba5Z22y1zlP8colOH8e3uiiPwtIP1yg3PopoOj1PsPz9ul0dKPq+bYwdikSOVgURZ/J5DJJchGtHSwrx3V3CYJ1fH8dpfKml8IIDb4NDLl3u92akCyKokOSXGY8fpUsW6AsO2jtyrlQFthKduAOshCf1ISWSu1JjwOqPCDP54jji3jeDv3+b4miu9j2uK5LHD8uSWvJhLLh8G2xtVeu9DX8JJYJiBdy6Jbg5mCVUmcglRPbwEYWYHXkZ7Ot1d+3XNi8po+EPJ1v9zRdP7dEPr99W2oRt2qS2LIhA9seE0Z3mZv7Db6/AVRoLZF9SxIvFi1RfAsYdUWWZY2+XXLNFY7z+EVyVuNfltPC7LR4WxAEojgqy6/JsgXi+BJxcpn84wWq2x04H4pt85s+XA1Q3gLwkErdY4uKLQIuEONVkmFQBagxkkZOkcxAPT5MWYADygHLByeAINREYc6SU3DRjrnNiM854K41JOkN0a9fQK3Ow4UOxd9GDG69i1IVvd6HuK5o/7/tuMXZUZ1au6TpKsPhG0wmV5vOYYXGslM8b5t+/wOi6A6WlTSzNYx895tg0k2GJLJsidHoLcbjV8izBbS2JStiUjVLKczVSjQzcbBfHieK2BJxwh0X7rqw6VCl0rcgkckSnc6XeN4WUNRkIeYrpvYxmVzm4OCnZNkyuJZ0/P/uRArNSzlYCagDNAdAgqLg6O5d46AIOVxwMMOkTcOnWdDd+nHf3Pfw7fGY1zka8FVIvW7LkZrehi33m44QRlI7N/vbdDpf0encxPN2gLJpQjTXXosXh5YoviVOsis/aSDSYXKYKmuMGsbIHk1x00zis+2EMNwnCB7RKz4nTZdJ0wukdy6Q3Z+n+rAPP/XhJz6sBmjPJlU32SKgwMLRFVZVRxLGhsrcD6lbuqkXR6AHKgSrA1EP/EjT9QvmnQEX7JhPiPlEDRncp2YAABXUSURBVNlXm+j+Grx/CaKK4t/1GGz+BMtK6XY/JQynQ1K+CaZZTmuXyeQa+/s/J03Py456Tuyt9cSiTCLi+BJlGVGWXbrdT7HtSUNKo9GTbFNoupnlb3kkyUUGg58wmVylUgFcKOFyLKNuVwvZzXdm8vmWBquS2+x6qJHUyas2vGfBdr0r/syHOy7ZaJmi6JIkF+h2vyKKbuE4B8hqaVEUPcbjVxgO3xKSCBW8F8MfTkSRFI1APUJqAAMUKRZF3aV/uBGnxKKqu5nBHKaJKOodAS6y6z+HNNZMu9x/EJhDnNRRw44jTXPr9W3XFqJNFegK2x4RdDbw/XXC8AGet4VlJWgtTXSTyaRpSGzxYtESxVPCqFlmdzjPaverlGIymTRDZ0Q6meC6Izxvk07na7JsicnkGuP1G2Tby7KT/ecW6rU1KveAA7bJsHF0JZmJDIkkRoiR59fIumM2oy6SYl4FzoOaAwpwCuh0wQs0gc7wnR1cSj5UGbsqRnsVvG7D77rk/7XPaPQ6vr+F52X4vv+NxWYzztGyHLJshcHgJyTpGji2yIN/dyKL9aYDNz2445HFywwGP8G2R3Q6N7FtSf89yabB1CXE/8gmSc6zv/87xPEVtF3/rX8+En+jXilXgNLyIZDUN5N/lwL19IQhPTNeH7wezHvSl/BGKoXYv+lQTQLi+CpZtkSSnKPX+xzHOahTbNcZjV6jKOZk5ufrqfQ0XE/BSpGmttsoEnxK5upZJN0j43YrFHv47OITY5Ni18bdxodpFrv1bQJc5Xi66nuA6ReKLZkD/5kPtz05lwNLIgoj8LAyHGeE5+0ShvdqMh3WhXrdpBeNsqktWp8OtETxPeBZv8yzMzKyLGsazHzfr1NcBUGQ1POLt9nb+wXZ58sQhTDfgwtLxFbIBJtS1QuE6Y8aI+vOXQ6vHQpxY9hBIo1XkG9BncFwlThTpVbJm9YBoPgNin31APw+vCGNUNmXK0wml3HdnYbkHrfzU0o1g6KqKmI0epUkuSgk8XoKfzIWi2tXQ6LgTRf+JoJfh2TpIqPRG3jeXt0UKGqoOI5P/Fue5zUmeVXlMx5fJ0nW0MqWWQt/OoafJvV0QV3n/ceI7NMsqEX9oZ2k6LGRXfoyqAvgzovtV6BlF/1hAImMCR2N3iTLVnCcoYwMzReoqlqqdL6EX9Q9NKpArDHuo0hYJOUGQ64yYhHpnzn0vQHG9YyGAS736fCATj2G15zkWYzr11/ksVGF+QondQ/Q1BGkrtvo42m4CiGIgS1puFueFKcfuPI6U2+OOp24QxDcr9OtuzjOAKWmZGwk0a2y6fShJYpTAmMDYbqh0zSdkXVWdDpfU1U+Bwfvk32xANdDWJwnCToc4JKrhErV17JGNsYDpr4fszATV+8grNADXHH+0C64LoQldK2CVxiwRcCQEQV7qOVVuJxT3gpJk1WKzk1cd/zE+dzG08m2beJ4hTi+QqUDOJ9L2uXtGc+hSMu0NEdL6uIrSR1NJldxnH1sW+oiJ5kZmg5u0xldFD2S5LKIDZZK+IOJ9Kv4ui4QxwhBbDDtPD7qtXIUBRK2jYADUNeAc6Ia/bOx9Mx84kOq6jrMBdL0/PQkaOS9vlmPDHVLUAeIPcaEDgVvsc/b7NGp44ST9v8eGQtkFCguMuEOMV/QZ53oMUefMDXwm5FLmQcXiEz1twGsu9NyhldLcVdqF4HZg9m3YNeB+64QxK4taSUzXlXJZ+k4IzqdL+h0vsb3t7Cs+NDnbL73poGuTTWdPrREcQoxSxh5ntPtdgkC6HRuUhYdDsY/pfzah3e6JH6PAzxyLDTV05UrY6b+bvW0VpWDLsF1ZDmJyFkiwSWnYARhLg1cvZBsf5E8X8R1dwiCoDFUnO14tiyrMfQDhyRZI88XpUnxp4mY080a0ylqW9xCut4fuJSTiCS5WLuFpk3ENZlMmiK6IaOp5bZNlq2Q5wvS+HApl9frGRnYCAm3HmBGddbLVn0ImpCSLjkRBTkWExwyLGIcCnI02yjqOoZ1Hq4BfzSWdMttrw5I1IwxEzTOrT+pO/opgW00+9iUrDLhFQZ0HzMFzsD8zkGzTEKPDAvNDgHZibrZkyRY9f3QEln2x74M6RrMPN/SEi2ZKXbWzHOHFowsiR5yBUYiXhOEZWX4/jqdzk06nS9xnCGm18R8R4yHl3EybqOI04mWKE4xTL7WSC2DwCLq3CLJVpk8uojaiMiW+uyokKE6YMmucFymPU5dJMVUq54amDXDq2/Sf3YipCxal01VDHYG50pYLCl3OqTpecLwLr5f0O12GY/HzY7QqJw6nU5dm1ggji9T2Z54Df00kQVIzTZ9WLKwmnkJn/pw0yPLlknT87juPo5DMwvcSHN93yeKojqaUJRlSBxfpCx9aT67VM9zRiOzRB4C95idA6LQOGjmyLjAhFViFkgPEUWMzQM63KmN7ip25QNUNjjn4JUM/mQiL3jXnSlz1DtsT8tjLuayCKsJkvKSovUi6bGaxJOg6pd30biPtftWNAoGc6JNinLHgd8E8I+h1BSymQXfPDfTQgonoSGH+lY3mtr2gCi6S7f7Ob6/gWWlDUFIH8nUYj5N09Ya/JSjJYozABn2o3AcF8/boRPdJNtbpPgyory2xEZnjofWPsvuCDcEOwI1D7yKrL8PkWwJTC0fekht8xKiogwAD3QI2hFb8/9/e2f2G8eVnfHfrb2rV4oSRdOKRcvyxLHlBJlBAgTJ6/zdAwQTBEmAJOORLdkam7ZW0pTIXquqa83Dube7ukXS8iOV+wENsZfaofPds32nApa4K49lFS7YKWGvpP4+IkkOieMfiKJsNSHQhKDWonceRXFDZiPk+3BYyMr7oNAkkbNe2e8D2gv4qwK+zODEo5gNmM//mjA8JQxPCMOQ4XC4ksgw0hzmIpfLWyyX+1KlNCrho0JWxgok7nZMmySgIaLiE6Z8wZibZARaJoWNX8HHzLnLnEd64E7BG33YEOKh6HftlvCfeo7CVN+7sJFczL/oxL1Cn0NKe6aDekeaMNxfoXhFzBOG+jltQyuzMlxvWCjJp/xbDEe+SM806pL2iyvOZ/WVnI30GB3R6z0hio5xnBSlaj0jg5WYX5IkpGn63s20fl9hieKawKi5xrFHFL0kTF9THt2B8x3G3VscccYHTkYnLEX9wyiXe0geQrz+tVjnrn719fsYmi40EaSuSO9kOLwg5iVdShwUXSCQfQY1oMjzGywW9/D9Ca67IAiUDjOBNBb6LJe7zGafsVjcoxm48PeLdR5ClYjR/h4hjBxJmPSFvD7OYa+EecByeZssO9A9CvVK4sPASGPUdUSWfUhRDLX6hO6PWNnQiu3qIAV8QMKXnLNPcmHwxvwuRnI3sR638xM9Cs6AI1D3pCrqEx2uGVYS1ilZi0B+lLeSSTrmhxj8CQFzPAL92WUmWrZULPA5psNjhry4MD/hI2MZ9wBXyKBAyOEPurGz2CaIdp7ml1q812Em3x/T7T6h1/sW35ey4HYfiSkvN2Emq9V0fWCJ4prANB/JVLMpYfCK7HSf6nhA/uEBP6ozbjsJPX+G160JC4mGrBQXRHhTJyiRfqwAiKDRRFFGkHgSoj5VPj+oPt8y4pSIZrUjT1Ryuw340JQ+i8VvAIjjp/j+GMdZAoqiGLBc3iZJPiHNDqidCP4mFS8hbrQ3cY7kCkxvxLE+uY+lFHW/hLsFPPepljFJckin8xTfP19JomzCJcs+IEkOpcLIQRrqupcbpQYIqNknZZfsbZJo3jaTvmo4IFm9f0qPnFfyRomwI3ulJLgfZFApCX0NTEmuObJ0RSrJdvCCLo8Y8Tnn9HQ4SrJP6DGhihrFBJ9XxLwi5oQOE4ILUt8R4qHdEV0llIhUfqfF9450HkWH/hynwHVTHCfD8xZATV2HVFUsYoRA07i6ckvhOEscZ4nvTwiCUy1lcozrJhtd6SbnliTJSpLd4nrBEsU1gpm70Ol4dDovSMaHVI9u0Nw/4Gw05hsSOm4FUcLesCYIQMVATy/cDRypbiIAQig7kGkBz7Hj8FJFPFZDfmTAjFAPud8H9qS9229Eh6hbQ+JSFCOm078jTe/qHMKEpvFEkqTYoax7Yvs/y+CfE7hlkiYzhCTGrZPLgFM5FoEc414ulUTHHml6wHT6gMHgz/j+GLNqFa0th+XyJrPZZ9LQhhKvZafc1EpaaXCv4VFrVd4W+WiCCGuJWjn6q6UjLQMeDQdqTRZHKEpeonCELOiJx9bfIqkrIjkzPL5hxByPETldSnoULHGZ4VOhKHA4JeIUKY2u31r1+6xdyn3tKiqYOPB1JCTxk5CEUiWeNyMIXhMEpwTBG1w32SKKbosofD3vwtVeZILrzle6Zu1kWDthbeZGWC/iesISxTWCcd0l5PKabnRE8f2Q6qtdqt9+zLNeRYHP1D3hy86U3aCkE4NX6GrQFmoPSq+hcBVzTzF2XE5UyAtinqo+r+hT0EXiVrf0K5aNXWSlf1CI8SkUdR3pUtA9lCNllI3jiRTGbgn3cwm73GkncZ8j5altFjMVSWPpBnRdOMyFLM5c6jxmNvucpnHpdv+C70+0cJxPnt9iPv+UND2UwT2NkmMZBYuVgTaZfhOPM5GXTQ9FAd1Kokdhq0m7UDD1REUexLNoFEwJOEXR8FK2Vnf1/busyFXpexoinoWEaGb4PGaES0NARUhNiWKpSUHCTg4NStdqKZ3XMMmnm/p5jWRFUCmZi/JfsTQGnnpQNbhuShS9oNt9QhSd4LrzlrHfDj2tz7lppGDANMmZ57aeuscqYW1CTWma2oqmawxLFNcIpgpKZLo9et3vyKc7zP9wn2b2EcXvury4eYux95Rn7gvuuBN2/SX9psDd+k9aKoe58pjicapizulwrgbMmz5506dmRNMMtZ5QwGqsq7Eb+yX8fi5J4mNvPbkPyR8zrOBmAjcrIYqhDv84GagzpAHslIunpuXABCEQV0I2/5hKnf53IVXVYzZ7QJre1catoq49ynJAWfb0dDeARuYvDCsJl60QIx7LOZJIvuhmi+M0qtbOiKkwChu4UULHkdlUqdNw0CT8rTrjf9nlDKh5ivQtHCJGuy3WR+tvY9gzfd3yfakVnsST2IZ4RAofZdxCeggp7cj1mQl3mZJO6f+IpeN95qDIiTrH9HqP6XSe43kTLYl/UfPo+r2UHRuBy/Y1yL9tuRozE9yMrbW43rBEcc1QVaLLL0N4xgy6f6YeR6R/vEP9ep/6yz6zw1s8GnzAD945sZoSq4XWC1qjxCEhJiMmp09Vd6Hq0RQ9yCLUIkRN/E0VaYWomt4uJUdxPxeiSBVs246w0bpJRqnQNHydsh5+c1EYQunP50AhlUQuktT+bSqr4TcudRWR1yFiZLe3N2gkFzKqWj1mplHjBu3kjXQ0qI11dKfe9CTae3cb8TbcBs49wGn4tJmAgj9xg9dAwwli/FN9vC6bgyEUEpO7i5DxOaYpbn3MkLcHTwSsZzt0WIsB6uRHo+S5nbsSavr3GJ7Js3SclDj+kcHgKzqdl8gPjYGvN0a6AqvJfNtjYzfuMWxM9WsPnLJ4P2CJ4hoiz3Pm8zm9HoThCaPRf+PN56QP71A879Icdmju7pLeSshGc87C7OKSxzqgWXRgHqEWPox91NyVbtupXi5vE8Wwhn9I4Hep9CdE+rUysUZvyBBDql/T1vt3MSALhCy6UiobNtLB/bMHf+y2KlsvCfibxH2kR4G+9bMuUvb1BlhSoUjxqHDwGimLDbY3a3GtQk4rqqX6tvagcSruMyHDJdM5hbXXMmQdEjL9DIYsBojBb3dPm6MYj6F9ZJe17orpizBxHyQm9qMPX3WkD+WNCzV43pRe71t6vceE4WvMczASMqbJs23g20TRnvdtCMOIX7ZH5baJxuL9gCWKawgzfQ/QZCHhg87yKcv5PvnDHconfapel3rUgxAZo9lK4Er9TAlzBVMHtQQnK3DqBFVCUznUlVS81LXPahbzz0hp7GEu3dPAusxzhhjGGWLkU2RFXbFuqDMW/JewRMhFh20UIsPxT4lkk78JZcVsiOyiXbpIWexgu8rGGNshEKNYUumGuhJFiHgKftubMD2BRoXXk88cTRb9CnIHYio+ZUKCx2OGJHiI8c+QpP0Z0rxym3X5k2ItCT644EKuIENzXqWSLulXnshpPIrk70wCZp43od9/xGDw9UrR1oSITLnqZQbeNFAacjDehUF7zrnF+wlLFNcUdV2vJCyiKMf3U8JwTBj+pCe1DaimfeqJT02oK1X81fZKlXjuFEflUt2jatwwwXUTQGYnVFWXothhudwny/apqq4kRqeuNGgBa2GpE6RpbkpDDqu069tYJ2CvvEJW4ScTN3IQWfDfzyWR/jASGeu5lq6ut/YYNJJLiS/yKEDCNz1grAVQ12fs0IpWyZfCe5n+MkbPrRay6FaQuLKYH6mcB5yT4fIdQwqU3nOGlP8uWecULgpsbd2GErnvFXLfC6W5WUieuStFBcdad+nM0+FABaohCE4ZDB7S7X6P500xJLFYLFbzz98FRo/MVi79/4MlimuMpmlWq0ETFpAQgYPn6eFKjUIpl9CLUKr9uGs9cnS92larenpHrxpdPYVvyGJxj9nsAUW+I0Y5cdbaRbwG/gLMUdQEutR0hyX+RrwdUlzOCEnwqC6tBjIwwzS0RUb/s1fKEv5eLjmLE09i8GN3s49ur5JwVXxZLiREwkAe2yM9XV0Ou2p3yBDeMk5UiUSvOlIx7Cnol1D4QgM31JIvOGdCwAti1p5UxVq+t52z0DBMVWgS+NkTKZCFI8Qw0bW56F3NNGnnSp5L1dqHqvC8OYPB1/T73+A4Oh+jPdL5fG57GizeCZYo3gP80oyMi5OQF8PEpKMo0lLnNUFwiusmVFWPSTFYhzsakNDSKwxJ3CTjPlM+0hLZ3pZXketu70fs8Iwu+Wbd6haM1EaP1RwF89NOI414dws5l9SRVXTb7gVIxdMlMkVryXCfdvWVQtovXPQ15kjKpJ1ayVmnEnTVcFxDWcK5L17Thyz4nHPOCVngtq6yREJ0pnV+CwsHHoaiv/RMKpXaI203sPGZalXiNvj+mNHof+j1Hm2QxGKxsCRh8atgieI9RTte/Gtjx0VRkOc5ZSlCf6LXlOL7b0S3J9MaHzXgLoEFDTU9Sj5jwhecEWt/YRs+NfeY4dOQ4fLyUllsEIP6Bmn225qj0N65i5TeXjbC+V1SIpdt0nD5aAozoTQA5QsfhQ14NZQOuKphj4whOQmd1oaGfQo2BgmZENcPAfxrVxRoKzaF997x2hynoNN5Thwf4TgZSokYX1mWVmPJ4ldDNTYDZWFhYWFxBS51yi0sLCwsLMAShYWFhYXFL8AShYWFhYXFlbBEYWFhYWFxJSxRWFhYWFhcCUsUFhYWFhZXwhKFhYWFhcWVsERhYWFhYXElLFFYWFhYWFyJ/wO7E2i9X/RweAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Based on Image RT and Image"
      ],
      "metadata": {
        "id": "YReypuVMlQ27"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Custom Dataset\n",
        "class FatigueDataset(Dataset):\n",
        "    def __init__(self, dataframe, transform=None):\n",
        "        self.data = dataframe\n",
        "        self.transform = transform\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.data)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        image_path = self.data.iloc[idx]['image name']\n",
        "        rt = self.data.iloc[idx]['RT']\n",
        "        label = self.data.iloc[idx]['class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)']\n",
        "\n",
        "        # Load Image\n",
        "        image = Image.open(image_path).convert('RGB')\n",
        "        if self.transform:\n",
        "            image = self.transform(image)\n",
        "\n",
        "        return image, torch.tensor(rt, dtype=torch.float32), torch.tensor(label, dtype=torch.float32)"
      ],
      "metadata": {
        "id": "9yjnoVz1k9b0"
      },
      "execution_count": 67,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Image Augmentation\n",
        "transform = transforms.Compose([\n",
        "    transforms.Resize((224, 224)),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
        "])\n",
        "\n",
        "# Create Dataset and Split\n",
        "dataset = FatigueDataset(df, transform=transform)\n",
        "train_idx, val_idx = train_test_split(range(len(dataset)), test_size=0.2, stratify=df['class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)'], random_state=42)\n",
        "train_dataset = torch.utils.data.Subset(dataset, train_idx)\n",
        "val_dataset = torch.utils.data.Subset(dataset, val_idx)\n",
        "\n",
        "train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)\n",
        "val_loader = DataLoader(val_dataset, batch_size=32, shuffle=False)\n",
        "\n",
        "# Modified Model\n",
        "class CustomModel(nn.Module):\n",
        "    def __init__(self, base_model):\n",
        "        super(CustomModel, self).__init__()\n",
        "        self.base_model = base_model\n",
        "        self.base_model.fc = nn.Linear(base_model.fc.in_features, 128)\n",
        "        self.fc_image = nn.Sequential(\n",
        "            nn.Linear(128, 64),\n",
        "            nn.ReLU()\n",
        "        )\n",
        "        self.fc_combined = nn.Sequential(\n",
        "            nn.Linear(64 + 1, 32),\n",
        "            nn.ReLU(),\n",
        "            nn.Linear(32, 1),\n",
        "            nn.Sigmoid()\n",
        "        )\n",
        "\n",
        "    def forward(self, image, rt):\n",
        "        image_features = self.base_model(image)\n",
        "        image_features = self.fc_image(image_features)\n",
        "        combined = torch.cat((image_features, rt.unsqueeze(1)), dim=1)\n",
        "        output = self.fc_combined(combined)\n",
        "        return output\n",
        "\n",
        "# Initialize Model\n",
        "base_model = models.resnet18(pretrained=True)\n",
        "model = CustomModel(base_model)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_UCM8BomlL9b",
        "outputId": "e14e8f30-8ef8-426e-cf85-17bf0e092a1f"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.11/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n",
            "  warnings.warn(msg)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Training Function\n",
        "def train_model(model, num_epochs=10):\n",
        "    criterion = nn.BCELoss()\n",
        "    optimizer = optim.Adam(model.parameters(), lr=0.001)\n",
        "    device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "    model.to(device)\n",
        "\n",
        "    for epoch in range(num_epochs):\n",
        "        model.train()\n",
        "        running_loss = 0.0\n",
        "        for images, rts, labels in train_loader:\n",
        "            images, rts, labels = images.to(device), rts.to(device), labels.to(device).view(-1, 1)\n",
        "\n",
        "            optimizer.zero_grad()\n",
        "            outputs = model(images, rts)\n",
        "            loss = criterion(outputs, labels)\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "            running_loss += loss.item()\n",
        "\n",
        "        print(f'Epoch [{epoch+1}/{num_epochs}], Loss: {running_loss / len(train_loader):.4f}')\n",
        "\n",
        "        # Validation\n",
        "        model.eval()\n",
        "        correct, total = 0, 0\n",
        "        with torch.no_grad():\n",
        "            for images, rts, labels in val_loader:\n",
        "                images, rts, labels = images.to(device), rts.to(device), labels.to(device).view(-1, 1)\n",
        "                outputs = model(images, rts)\n",
        "                predicted = (outputs > 0.5).float()\n",
        "                total += labels.size(0)\n",
        "                correct += (predicted == labels).sum().item()\n",
        "\n",
        "        accuracy = 100 * correct / total\n",
        "        print(f'Validation Accuracy: {accuracy:.2f}%')\n",
        "\n",
        "# Train Model\n",
        "train_model(model)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nWrIWeJ7lAub",
        "outputId": "83f4c28c-2fa1-4aaf-fe03-640d44cf1245"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch [1/10], Loss: 0.6077\n",
            "Validation Accuracy: 50.00%\n",
            "Epoch [2/10], Loss: 0.3542\n",
            "Validation Accuracy: 57.89%\n",
            "Epoch [3/10], Loss: 0.1321\n",
            "Validation Accuracy: 68.42%\n",
            "Epoch [4/10], Loss: 0.0969\n",
            "Validation Accuracy: 84.21%\n",
            "Epoch [5/10], Loss: 0.0680\n",
            "Validation Accuracy: 73.68%\n",
            "Epoch [6/10], Loss: 0.1524\n",
            "Validation Accuracy: 73.68%\n",
            "Epoch [7/10], Loss: 0.0569\n",
            "Validation Accuracy: 86.84%\n",
            "Epoch [8/10], Loss: 0.0711\n",
            "Validation Accuracy: 68.42%\n",
            "Epoch [9/10], Loss: 0.1571\n",
            "Validation Accuracy: 78.95%\n",
            "Epoch [10/10], Loss: 0.1626\n",
            "Validation Accuracy: 76.32%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Image and RT and Entropy"
      ],
      "metadata": {
        "id": "iqTgtOmLk6UC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Custom Dataset\n",
        "class FatigueDataset(Dataset):\n",
        "    def __init__(self, dataframe, transform=None):\n",
        "        self.data = dataframe\n",
        "        self.transform = transform\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.data)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        image_path = self.data.iloc[idx]['image name']\n",
        "        rt = self.data.iloc[idx]['RT']\n",
        "        entropy = self.data.iloc[idx]['Entropy']\n",
        "        label = self.data.iloc[idx]['class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)']\n",
        "\n",
        "        # Load Image\n",
        "        image = Image.open(image_path).convert('RGB')\n",
        "        if self.transform:\n",
        "            image = self.transform(image)\n",
        "\n",
        "        return (\n",
        "            image,\n",
        "            torch.tensor([rt, entropy], dtype=torch.float32),  # RT and Entropy as a tensor\n",
        "            torch.tensor(label, dtype=torch.float32)\n",
        "        )"
      ],
      "metadata": {
        "id": "DTf1zx2Oi3Vy"
      },
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Image Augmentation\n",
        "transform = transforms.Compose([\n",
        "    transforms.Resize((224, 224)),\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
        "])\n",
        "\n",
        "# Create Dataset and Split\n",
        "dataset = FatigueDataset(df, transform=transform)\n",
        "train_idx, val_idx = train_test_split(\n",
        "    range(len(dataset)),\n",
        "    test_size=0.2,\n",
        "    stratify=df['class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)'],\n",
        "    random_state=42\n",
        ")\n",
        "train_dataset = torch.utils.data.Subset(dataset, train_idx)\n",
        "val_dataset = torch.utils.data.Subset(dataset, val_idx)\n",
        "\n",
        "train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)\n",
        "val_loader = DataLoader(val_dataset, batch_size=32, shuffle=False)"
      ],
      "metadata": {
        "id": "mJdlFKCIi8La"
      },
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Modified Model\n",
        "class CustomModel(nn.Module):\n",
        "    def __init__(self, base_model):\n",
        "        super(CustomModel, self).__init__()\n",
        "        self.base_model = base_model\n",
        "        self.base_model.fc = nn.Linear(base_model.fc.in_features, 128)\n",
        "        self.fc_image = nn.Sequential(\n",
        "            nn.Linear(128, 64),\n",
        "            nn.ReLU()\n",
        "        )\n",
        "        self.fc_combined = nn.Sequential(\n",
        "            nn.Linear(64 + 2, 32),  # Combine image features with RT and Entropy (2 additional inputs)\n",
        "            nn.ReLU(),\n",
        "            nn.Linear(32, 1),\n",
        "            nn.Sigmoid()\n",
        "        )\n",
        "\n",
        "    def forward(self, image, extra_features):\n",
        "        image_features = self.base_model(image)\n",
        "        image_features = self.fc_image(image_features)\n",
        "        combined = torch.cat((image_features, extra_features), dim=1)\n",
        "        output = self.fc_combined(combined)\n",
        "        return output\n"
      ],
      "metadata": {
        "id": "vy7mhCogjIfi"
      },
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize Model\n",
        "base_model = models.resnet18(pretrained=True)\n",
        "model = CustomModel(base_model)\n",
        "\n",
        "# Training Function\n",
        "def train_model(model, num_epochs=10):\n",
        "    criterion = nn.BCELoss()\n",
        "    optimizer = optim.Adam(model.parameters(), lr=0.001)\n",
        "    device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "    model.to(device)\n",
        "\n",
        "    for epoch in range(num_epochs):\n",
        "        model.train()\n",
        "        running_loss = 0.0\n",
        "        for images, extra_features, labels in train_loader:\n",
        "            images, extra_features, labels = (\n",
        "                images.to(device),\n",
        "                extra_features.to(device),\n",
        "                labels.to(device).view(-1, 1)\n",
        "            )\n",
        "\n",
        "            optimizer.zero_grad()\n",
        "            outputs = model(images, extra_features)\n",
        "            loss = criterion(outputs, labels)\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "            running_loss += loss.item()\n",
        "\n",
        "        print(f'Epoch [{epoch+1}/{num_epochs}], Loss: {running_loss / len(train_loader):.4f}')\n",
        "\n",
        "        # Validation\n",
        "        model.eval()\n",
        "        correct, total = 0, 0\n",
        "        with torch.no_grad():\n",
        "            for images, extra_features, labels in val_loader:\n",
        "                images, extra_features, labels = (\n",
        "                    images.to(device),\n",
        "                    extra_features.to(device),\n",
        "                    labels.to(device).view(-1, 1)\n",
        "                )\n",
        "                outputs = model(images, extra_features)\n",
        "                predicted = (outputs > 0.5).float()\n",
        "                total += labels.size(0)\n",
        "                correct += (predicted == labels).sum().item()\n",
        "\n",
        "        accuracy = 100 * correct / total\n",
        "        print(f'Validation Accuracy: {accuracy:.2f}%')\n",
        "\n",
        "# Train Model\n",
        "train_model(model)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qpYnkv3Zi0Eq",
        "outputId": "dd76980a-4dfb-41ac-945d-8d33baee26d9"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.11/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n",
            "  warnings.warn(msg)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch [1/10], Loss: 0.6381\n",
            "Validation Accuracy: 76.32%\n",
            "Epoch [2/10], Loss: 0.3987\n",
            "Validation Accuracy: 57.89%\n",
            "Epoch [3/10], Loss: 0.1316\n",
            "Validation Accuracy: 57.89%\n",
            "Epoch [4/10], Loss: 0.1115\n",
            "Validation Accuracy: 76.32%\n",
            "Epoch [5/10], Loss: 0.0910\n",
            "Validation Accuracy: 65.79%\n",
            "Epoch [6/10], Loss: 0.1398\n",
            "Validation Accuracy: 63.16%\n",
            "Epoch [7/10], Loss: 0.2232\n",
            "Validation Accuracy: 68.42%\n",
            "Epoch [8/10], Loss: 0.2140\n",
            "Validation Accuracy: 65.79%\n",
            "Epoch [9/10], Loss: 0.1476\n",
            "Validation Accuracy: 73.68%\n",
            "Epoch [10/10], Loss: 0.0489\n",
            "Validation Accuracy: 71.05%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Just Based on RT and Entropy"
      ],
      "metadata": {
        "id": "KcOm9-UJmkR0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Custom Dataset\n",
        "class RTEntropyDataset(Dataset):\n",
        "    def __init__(self, dataframe):\n",
        "        self.data = dataframe\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.data)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        rt = self.data.iloc[idx]['RT']\n",
        "        entropy = self.data.iloc[idx]['Entropy']\n",
        "        label = self.data.iloc[idx]['class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)']\n",
        "        return torch.tensor([rt, entropy], dtype=torch.float32), torch.tensor(label, dtype=torch.float32)\n",
        "\n",
        "# Create Dataset and Split\n",
        "dataset = RTEntropyDataset(df)\n",
        "train_idx, val_idx = train_test_split(\n",
        "    range(len(dataset)),\n",
        "    test_size=0.2,\n",
        "    stratify=df['class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)'],\n",
        "    random_state=42\n",
        ")\n",
        "train_dataset = torch.utils.data.Subset(dataset, train_idx)\n",
        "val_dataset = torch.utils.data.Subset(dataset, val_idx)\n",
        "\n",
        "train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)\n",
        "val_loader = DataLoader(val_dataset, batch_size=32, shuffle=False)\n",
        "\n",
        "# Simple Model\n",
        "class SimpleModel(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(SimpleModel, self).__init__()\n",
        "        self.fc = nn.Sequential(\n",
        "            nn.Linear(2, 16),  # 2 inputs: RT and Entropy\n",
        "            nn.ReLU(),\n",
        "            nn.Linear(16, 8),\n",
        "            nn.ReLU(),\n",
        "            nn.Linear(8, 1),\n",
        "            nn.Sigmoid()\n",
        "        )\n",
        "\n",
        "    def forward(self, x):\n",
        "        return self.fc(x)\n",
        "\n",
        "# Initialize Model\n",
        "model = SimpleModel()\n",
        "\n",
        "# Training Function\n",
        "def train_model(model, num_epochs=10):\n",
        "    criterion = nn.BCELoss()\n",
        "    optimizer = optim.Adam(model.parameters(), lr=0.001)\n",
        "    device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "    model.to(device)\n",
        "\n",
        "    for epoch in range(num_epochs):\n",
        "        model.train()\n",
        "        running_loss = 0.0\n",
        "        for features, labels in train_loader:\n",
        "            features, labels = features.to(device), labels.to(device).view(-1, 1)\n",
        "\n",
        "            optimizer.zero_grad()\n",
        "            outputs = model(features)\n",
        "            loss = criterion(outputs, labels)\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "            running_loss += loss.item()\n",
        "\n",
        "        print(f'Epoch [{epoch+1}/{num_epochs}], Loss: {running_loss / len(train_loader):.4f}')\n",
        "\n",
        "        # Validation\n",
        "        model.eval()\n",
        "        correct, total = 0, 0\n",
        "        with torch.no_grad():\n",
        "            for features, labels in val_loader:\n",
        "                features, labels = features.to(device), labels.to(device).view(-1, 1)\n",
        "                outputs = model(features)\n",
        "                predicted = (outputs > 0.5).float()\n",
        "                total += labels.size(0)\n",
        "                correct += (predicted == labels).sum().item()\n",
        "\n",
        "        accuracy = 100 * correct / total\n",
        "        print(f'Validation Accuracy: {accuracy:.2f}%')\n",
        "\n",
        "# Train Model\n",
        "train_model(model)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I2YXvFITmqKc",
        "outputId": "aef51314-5702-41b0-b2d3-1c848d6ebdbb"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch [1/10], Loss: 0.9190\n",
            "Validation Accuracy: 47.37%\n",
            "Epoch [2/10], Loss: 0.8563\n",
            "Validation Accuracy: 47.37%\n",
            "Epoch [3/10], Loss: 0.7930\n",
            "Validation Accuracy: 47.37%\n",
            "Epoch [4/10], Loss: 0.7519\n",
            "Validation Accuracy: 47.37%\n",
            "Epoch [5/10], Loss: 0.7258\n",
            "Validation Accuracy: 47.37%\n",
            "Epoch [6/10], Loss: 0.7085\n",
            "Validation Accuracy: 47.37%\n",
            "Epoch [7/10], Loss: 0.6983\n",
            "Validation Accuracy: 47.37%\n",
            "Epoch [8/10], Loss: 0.6921\n",
            "Validation Accuracy: 52.63%\n",
            "Epoch [9/10], Loss: 0.6916\n",
            "Validation Accuracy: 52.63%\n",
            "Epoch [10/10], Loss: 0.6902\n",
            "Validation Accuracy: 52.63%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "SVM"
      ],
      "metadata": {
        "id": "berYE3PGowM9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import torch\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
        "from torch.utils.data import Dataset, DataLoader\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "GKNwYyUDoxQk"
      },
      "execution_count": 82,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Custom Dataset\n",
        "class RTEntropyDataset(Dataset):\n",
        "    def __init__(self, dataframe):\n",
        "        self.data = dataframe\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.data)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        rt = self.data.iloc[idx]['RT']\n",
        "        entropy = self.data.iloc[idx]['Entropy']\n",
        "        label = self.data.iloc[idx]['class (0-1)=0 (no fatigue); (2-3)=1 (fatigue)']\n",
        "        return torch.tensor([rt, entropy], dtype=torch.float32), torch.tensor(label, dtype=torch.float32)\n",
        "\n",
        "# Create Dataset and Split\n",
        "dataset = RTEntropyDataset(df)\n",
        "features = np.array([dataset[i][0].numpy() for i in range(len(dataset))])\n",
        "labels = np.array([dataset[i][1].item() for i in range(len(dataset))])\n",
        "\n",
        "X_train, X_val, y_train, y_val = train_test_split(\n",
        "    features,\n",
        "    labels,\n",
        "    test_size=0.2,\n",
        "    stratify=labels,\n",
        "    random_state=42\n",
        ")\n",
        "\n",
        "# Scale Features\n",
        "scaler = StandardScaler()\n",
        "X_train = scaler.fit_transform(X_train)\n",
        "X_val = scaler.transform(X_val)\n",
        "\n",
        "# Initialize and Train SVM\n",
        "svm_model = SVC(kernel='rbf', C=1.0, probability=True, random_state=42)\n",
        "svm_model.fit(X_train, y_train)\n",
        "\n",
        "# Validation\n",
        "y_pred = svm_model.predict(X_val)\n",
        "\n",
        "# Evaluation\n",
        "accuracy = accuracy_score(y_val, y_pred)\n",
        "print(f'Validation Accuracy: {accuracy:.2f}')\n",
        "print('\\nClassification Report:')\n",
        "print(classification_report(y_val, y_pred))\n",
        "\n",
        "# Confusion Matrix\n",
        "conf_matrix = confusion_matrix(y_val, y_pred)\n",
        "plt.figure(figsize=(8, 6))\n",
        "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=['No Fatigue', 'Fatigue'], yticklabels=['No Fatigue', 'Fatigue'])\n",
        "plt.xlabel('Predicted')\n",
        "plt.ylabel('Actual')\n",
        "plt.title('Confusion Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 783
        },
        "id": "1nOmsM4mo15V",
        "outputId": "85fd3240-08ce-4b22-c9ce-e2bc856bddd8"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validation Accuracy: 0.68\n",
            "\n",
            "Classification Report:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "         0.0       0.65      0.85      0.74        20\n",
            "         1.0       0.75      0.50      0.60        18\n",
            "\n",
            "    accuracy                           0.68        38\n",
            "   macro avg       0.70      0.68      0.67        38\n",
            "weighted avg       0.70      0.68      0.67        38\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}