{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "7RyIYffLl08S"
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf\n",
        "from tensorflow.keras import datasets, layers, models\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "import seaborn as sns\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "(train_images, train_labels), (test_images, test_labels) = datasets.cifar10.load_data()\n",
        "# Class names\n",
        "class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',\n",
        "               'dog', 'frog', 'horse', 'ship', 'truck']\n",
        "# 3. Preprocessing (Normalization)\n",
        "train_images, test_images = train_images / 255.0, test_images / 255.0\n",
        "\n",
        "print(\"Training images shape:\", train_images.shape)\n",
        "print(\"Test images shape:\", test_images.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ffJPe0NHmqjd",
        "outputId": "78a412a3-1c16-4aa8-a73e-069504370d82"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training images shape: (50000, 32, 32, 3)\n",
            "Test images shape: (10000, 32, 32, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 4. Visualize Some Images\n",
        "plt.figure(figsize=(10, 10))\n",
        "for i in range(25):\n",
        "    plt.subplot(5, 5, i+1)\n",
        "    plt.imshow(train_images[i])\n",
        "    plt.title(class_names[train_labels[i][0]])\n",
        "    plt.axis('off')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 829
        },
        "id": "Vaxu8lXuq_Cy",
        "outputId": "c7936680-ec16-4c89-9928-dd797cec4a1e"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 25 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5. Build a Simple but Effective CNN\n",
        "model = models.Sequential([\n",
        "    # First Conv Block\n",
        "    layers.Conv2D(32, (3, 3), activation='relu', padding='same', input_shape=(32, 32, 3)),\n",
        "    layers.Conv2D(32, (3, 3), activation='relu', padding='same'),\n",
        "    layers.MaxPooling2D((2, 2)),\n",
        "    layers.Dropout(0.25),\n",
        "\n",
        "    # Second Conv Block\n",
        "    layers.Conv2D(64, (3, 3), activation='relu', padding='same'),\n",
        "    layers.Conv2D(64, (3, 3), activation='relu', padding='same'),\n",
        "    layers.MaxPooling2D((2, 2)),\n",
        "    layers.Dropout(0.25),\n",
        "\n",
        "    # Third Conv Block (keeps it simple)\n",
        "    layers.Conv2D(128, (3, 3), activation='relu', padding='same'),\n",
        "    layers.MaxPooling2D((2, 2)),\n",
        "    layers.Dropout(0.25),\n",
        "\n",
        "    layers.Flatten(),\n",
        "    layers.Dense(512, activation='relu'),\n",
        "    layers.Dropout(0.5),\n",
        "    layers.Dense(10, activation='softmax')\n",
        "])\n",
        "\n",
        "model.summary()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 664
        },
        "id": "98vFt_-Dr2DM",
        "outputId": "f58ad578-7b5b-4306-a6d0-454967d7f4c6"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/keras/src/layers/convolutional/base_conv.py:113: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
            "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\u001b[1mModel: \"sequential\"\u001b[0m\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ conv2d (\u001b[38;5;33mConv2D\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │           \u001b[38;5;34m896\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │         \u001b[38;5;34m9,248\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling2d (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │             \u001b[38;5;34m0\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │             \u001b[38;5;34m0\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │        \u001b[38;5;34m18,496\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │        \u001b[38;5;34m36,928\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling2d_1 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m64\u001b[0m)       │             \u001b[38;5;34m0\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m64\u001b[0m)       │             \u001b[38;5;34m0\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv2d_4 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m)      │        \u001b[38;5;34m73,856\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling2d_2 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m128\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m128\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ flatten (\u001b[38;5;33mFlatten\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2048\u001b[0m)           │             \u001b[38;5;34m0\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │     \u001b[38;5;34m1,049,088\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_3 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)             │         \u001b[38;5;34m5,130\u001b[0m │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ conv2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │           <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │         <span style=\"color: #00af00; text-decoration-color: #00af00\">9,248</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │        <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv2d_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │        <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)       │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)       │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv2d_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)      │        <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2048</span>)           │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,049,088</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">5,130</span> │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,193,642\u001b[0m (4.55 MB)\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,193,642</span> (4.55 MB)\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,193,642\u001b[0m (4.55 MB)\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,193,642</span> (4.55 MB)\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 6. Compile the Model\n",
        "model.compile(optimizer='adam',\n",
        "              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),\n",
        "              metrics=['accuracy'])"
      ],
      "metadata": {
        "id": "R01fINz0r8aQ"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 7. Train the Model (Hyperparameters you can tune)\n",
        "history = model.fit(train_images, train_labels,\n",
        "                    epochs=30,\n",
        "                    batch_size=64,\n",
        "                    validation_split=0.2,\n",
        "                    verbose=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FkpPsOq2r8__",
        "outputId": "28dc6861-1ffc-48bf-aa62-44abe84cb113"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m232s\u001b[0m 365ms/step - accuracy: 0.3640 - loss: 1.7136 - val_accuracy: 0.5055 - val_loss: 1.3334\n",
            "Epoch 2/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m225s\u001b[0m 360ms/step - accuracy: 0.5383 - loss: 1.2816 - val_accuracy: 0.5883 - val_loss: 1.1491\n",
            "Epoch 3/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m238s\u001b[0m 381ms/step - accuracy: 0.6104 - loss: 1.0941 - val_accuracy: 0.6627 - val_loss: 0.9521\n",
            "Epoch 4/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m233s\u001b[0m 373ms/step - accuracy: 0.6556 - loss: 0.9753 - val_accuracy: 0.7012 - val_loss: 0.8514\n",
            "Epoch 5/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m262s\u001b[0m 372ms/step - accuracy: 0.6855 - loss: 0.8880 - val_accuracy: 0.7247 - val_loss: 0.7810\n",
            "Epoch 6/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m225s\u001b[0m 361ms/step - accuracy: 0.7067 - loss: 0.8356 - val_accuracy: 0.7473 - val_loss: 0.7252\n",
            "Epoch 7/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m274s\u001b[0m 380ms/step - accuracy: 0.7236 - loss: 0.7919 - val_accuracy: 0.7354 - val_loss: 0.7403\n",
            "Epoch 8/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m249s\u001b[0m 360ms/step - accuracy: 0.7333 - loss: 0.7577 - val_accuracy: 0.7598 - val_loss: 0.6899\n",
            "Epoch 9/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m233s\u001b[0m 373ms/step - accuracy: 0.7492 - loss: 0.7139 - val_accuracy: 0.7524 - val_loss: 0.7123\n",
            "Epoch 10/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m262s\u001b[0m 373ms/step - accuracy: 0.7549 - loss: 0.6964 - val_accuracy: 0.7762 - val_loss: 0.6487\n",
            "Epoch 11/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m262s\u001b[0m 373ms/step - accuracy: 0.7669 - loss: 0.6653 - val_accuracy: 0.7746 - val_loss: 0.6479\n",
            "Epoch 12/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m225s\u001b[0m 360ms/step - accuracy: 0.7744 - loss: 0.6428 - val_accuracy: 0.7803 - val_loss: 0.6355\n",
            "Epoch 13/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m262s\u001b[0m 360ms/step - accuracy: 0.7760 - loss: 0.6274 - val_accuracy: 0.7746 - val_loss: 0.6434\n",
            "Epoch 14/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m225s\u001b[0m 360ms/step - accuracy: 0.7846 - loss: 0.6043 - val_accuracy: 0.7707 - val_loss: 0.6709\n",
            "Epoch 15/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m225s\u001b[0m 360ms/step - accuracy: 0.7922 - loss: 0.5917 - val_accuracy: 0.7814 - val_loss: 0.6388\n",
            "Epoch 16/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m233s\u001b[0m 373ms/step - accuracy: 0.7983 - loss: 0.5696 - val_accuracy: 0.7909 - val_loss: 0.6242\n",
            "Epoch 17/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m241s\u001b[0m 385ms/step - accuracy: 0.7992 - loss: 0.5732 - val_accuracy: 0.7958 - val_loss: 0.6024\n",
            "Epoch 18/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m226s\u001b[0m 361ms/step - accuracy: 0.8106 - loss: 0.5365 - val_accuracy: 0.7974 - val_loss: 0.5965\n",
            "Epoch 19/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m225s\u001b[0m 360ms/step - accuracy: 0.8130 - loss: 0.5329 - val_accuracy: 0.7896 - val_loss: 0.6210\n",
            "Epoch 20/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m268s\u001b[0m 370ms/step - accuracy: 0.8147 - loss: 0.5202 - val_accuracy: 0.7957 - val_loss: 0.5971\n",
            "Epoch 21/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m257s\u001b[0m 363ms/step - accuracy: 0.8165 - loss: 0.5181 - val_accuracy: 0.7934 - val_loss: 0.6105\n",
            "Epoch 22/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m234s\u001b[0m 374ms/step - accuracy: 0.8223 - loss: 0.5046 - val_accuracy: 0.8027 - val_loss: 0.6043\n",
            "Epoch 23/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m254s\u001b[0m 361ms/step - accuracy: 0.8250 - loss: 0.4981 - val_accuracy: 0.7974 - val_loss: 0.6057\n",
            "Epoch 24/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m227s\u001b[0m 364ms/step - accuracy: 0.8253 - loss: 0.4912 - val_accuracy: 0.7957 - val_loss: 0.6157\n",
            "Epoch 25/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m268s\u001b[0m 374ms/step - accuracy: 0.8278 - loss: 0.4867 - val_accuracy: 0.8050 - val_loss: 0.5859\n",
            "Epoch 26/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m233s\u001b[0m 373ms/step - accuracy: 0.8335 - loss: 0.4744 - val_accuracy: 0.8043 - val_loss: 0.5885\n",
            "Epoch 27/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m225s\u001b[0m 361ms/step - accuracy: 0.8319 - loss: 0.4730 - val_accuracy: 0.8015 - val_loss: 0.5985\n",
            "Epoch 28/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m232s\u001b[0m 372ms/step - accuracy: 0.8368 - loss: 0.4590 - val_accuracy: 0.8010 - val_loss: 0.6331\n",
            "Epoch 29/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m256s\u001b[0m 362ms/step - accuracy: 0.8373 - loss: 0.4557 - val_accuracy: 0.8100 - val_loss: 0.5880\n",
            "Epoch 30/30\n",
            "\u001b[1m625/625\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m235s\u001b[0m 375ms/step - accuracy: 0.8399 - loss: 0.4491 - val_accuracy: 0.8062 - val_loss: 0.5765\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 8. Plot Training Results\n",
        "plt.figure(figsize=(12, 5))\n",
        "\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.plot(history.history['accuracy'], label='Training Accuracy')\n",
        "plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n",
        "plt.title('Model Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.legend()\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.plot(history.history['loss'], label='Training Loss')\n",
        "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
        "plt.title('Model Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Loss')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "0FvHOAOkr9VF",
        "outputId": "049dacda-98e3-4dd6-fc4b-fa224c44c0cd"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 9. Evaluate on Test Set\n",
        "test_loss, test_acc = model.evaluate(test_images, test_labels, verbose=2)\n",
        "print(f'\\nTest Accuracy: {test_acc*100:.2f}%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_M6Kn8fEsD_f",
        "outputId": "588fcd4b-3a51-49e1-998e-980eb6cdf64a"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "313/313 - 14s - 44ms/step - accuracy: 0.8089 - loss: 0.5882\n",
            "\n",
            "Test Accuracy: 80.89%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 10. Detailed Classification Report & Confusion Matrix\n",
        "y_pred = model.predict(test_images)\n",
        "y_pred_classes = np.argmax(y_pred, axis=1)\n",
        "\n",
        "print(\"\\nClassification Report:\")\n",
        "print(classification_report(test_labels.flatten(), y_pred_classes, target_names=class_names))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FVfyN-josHkW",
        "outputId": "468017e7-d515-4462-ba6d-6440be20ecba"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 45ms/step\n",
            "\n",
            "Classification Report:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "    airplane       0.83      0.83      0.83      1000\n",
            "  automobile       0.93      0.89      0.91      1000\n",
            "        bird       0.74      0.71      0.72      1000\n",
            "         cat       0.68      0.61      0.64      1000\n",
            "        deer       0.73      0.84      0.78      1000\n",
            "         dog       0.77      0.70      0.73      1000\n",
            "        frog       0.82      0.86      0.84      1000\n",
            "       horse       0.85      0.85      0.85      1000\n",
            "        ship       0.87      0.91      0.89      1000\n",
            "       truck       0.87      0.89      0.88      1000\n",
            "\n",
            "    accuracy                           0.81     10000\n",
            "   macro avg       0.81      0.81      0.81     10000\n",
            "weighted avg       0.81      0.81      0.81     10000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Confusion Matrix\n",
        "cm = confusion_matrix(test_labels.flatten(), y_pred_classes)\n",
        "plt.figure(figsize=(10, 8))\n",
        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n",
        "            xticklabels=class_names, yticklabels=class_names)\n",
        "plt.title('Confusion Matrix')\n",
        "plt.xlabel('Predicted')\n",
        "plt.ylabel('True')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 783
        },
        "id": "A-4InxeKsMJu",
        "outputId": "016758cf-837e-49c9-87f0-907f3feac7fb"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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Q8eZ1jvLOXbth0pTpAkSU99avWYENa1fKlNnaOWDn/iMyZRKJBGOGD8TVy5fgvyAAdeo3LMgw89zGdWtx/uxpPH/2DzQ0NOFWuQqGjRwNewcHaZ3ZvtNx/eqV7OOYtjbcKlXB8FHKfxyjglPsOlWqqqqwtLT86nKJRIKsrCyoqRW7l+arRv9cHf1aVkK/hScQ8iIGPzlbYI13UyQkZ2DloTvQ1lBDZSdzzNlxFfefRcFIVxMLBtbDHp+28By+Q7qd/TPa48mb92g+YQ9S0z9gaPuq2O/bDuV7r0fk+xQBW/jjfKdNxZMnYZjlPxdm5uY49sdhDOzXG/sOHYW5hYXQ4eW5kOAHOLBvN5ycXWXKy5Qtj6bNW8PCygoJ8fFYt3oFRgzui/1HTkNVVVWgaBWXmpoKF5cyaNu+I0aPHJZjuZ2dPcZPmopSpWyQnp6GbVs3Y/CAPjh09BSMjY0FiFhx32tzamoqKlf5CY2bNsdMn6kCRFgwEuLj0eu3X1C9Rk0sXx0IYyMjvHjxAvr6BkKHlq+Ka7sBYHvQXojFWdLnT8LCMLBfbzRu0kzAqPKeg6MTlq5cJ32uqprz986uHVuUOmPwuds3b+Dnrt1QrnwFZGVlYUXAYgwd2Ad7DhyBlrY2AKBsufJo3qIVLK2skRAfhzWrVmDIgL44fFy5j2NUcIrk8L8TJ07A09MThoaGMDExQatWrfD06VMAOYf/XbhwASKRCMePH8dPP/0EDQ0NXLp0CT4+PqhcuTLWrFkDGxsbaGtro3PnzoiPj/+h/X667/3796N+/frQ1tZGpUqVcOXKFZntXLp0CV5eXtDS0oKNjQ2GDx+O5OTkz3dXYGqVs8aRq09x4vozhEcm4MClMJy9/QLVXLM7pwkpGWg1aR/2/e9vhL16j+uPIjBq5Tn85GIJGzM9AICJviacSxlh4a4bePgsGk/fxGHqhv9BR1Md5eyVM2uYlpaGs2dOYaT3GPxUrTpsbe0wcMgw2NjaYs+unUKHl+dSUpIxfdI4TJw6A3r6+jLL2nXsjCo/VYO1dUmUKVsOA4YMR+Tbt18866tMPL3qYMjwkWjQsPEXlzdv2Rq13GujlI0NHJ2cMXrsBCQlJSHs78cFHGne+V6bW7VuiwGDhqBWLfcCjqxgbdwQCEtLS/jO8kfFim4oWcoGtT08YWNrK3Ro+aq4thsAjI2NYWpqJn38efE8bGxsUa16DaFDy1OqqqowMTWTPgyNjGSW//04FEHbNmPStJkCRZj3lq0OROu27eHo5AwX1zLwmemPtxERCA0Jltbp0KkzqlarDuuSJVGmXHkMHjYCkW8jlP44phCRijAPJaW8kX9DcnIyvL29cfPmTZw9exYqKipo3749xGLxV9eZMGEC5syZg9DQULi5uQEAnjx5gt27d+OPP/7AiRMncOfOHQwePFjh/U6ePBljxozB3bt34eLigl9++QUfPnwAADx9+hTNmjVDx44dcf/+fezatQuXLl3C0KFD8+CV+TFXQ96gfmUbOJU0BABUdDCFe3lrnLrx7Kvr6OtoQCyWIC45HQAQk5CGxy9j0a1ROWhrqEFVRYS+LdwQ+T4Zd8IiC6IZeS4r6wOysrJQQkNDplxDQxN3bt8SKKr8s8B/Fjy86qJGrdrfrJeamoKjhw/AumQpWHwjK1zUZGZmYP/eXdDV04OLaxmhwyEFXTx/DuXKV8AY7+GoX8cdXTq1w769u4UOK98V13Z/LjMzA8eOHEbb9h0hKkIZGwB4FR6ONk3r4ec2TeEzeRzeRryRLktLTcWMyeMwevwUmJiaCRhl/kpKSgQA6Bt8OQObmpKCwwf3o2QxO46RYorkGLeOHTvKPN+wYQPMzMwQEhICXV3dL67j6+uLxo1lz8ympaVhy5YtKFmyJABg2bJlaNmyJRYuXPjFIYTf2m+FChWk5WPGjEHLli0BADNmzED58uXx5MkTlClTBv7+/ujevTtGjhwJAHB2dkZAQADq1q2LVatWQVNTU74XIw8s2H0d+tolcC+wN7LEYqiqqGD65ksIOv/oi/U11FUx63cv7L7wCIkpGdLylhP3Yte0Nog6MAxiiQRRcSloO2U/4pLSC6opeUpHRxdulSojcPVKOJQuDRMTU5w4dhT3790tcmd1T584hsePQrBh29d/XO3dvRMrlixAamoq7OwdELBqHdTVSxRglML48+J5TBg7GmlpqTA1M8PqtRtg9NmZX1I+r169xJ5dO/Frj97o228gHj58gHn+s6Curo42bdsLHV6+Ka7t/ty5s2eQmJiINu2KVpvLVXDDZJ/ZsLW3R0xUFDYErsLgvj2wdfch6OjoIGDRXFRwqwKveg2EDjXfiMViLJznj0pVqsLJ2UVm2Z6gHQhYvBCpqSmws3fAirXri8Vx7KuK2AmF/FYkO1VhYWGYNm0arl27hujoaGmmKDw8HOXKlfviOtWqVctRZmtrK+1QAYC7uzvEYjEeP378xU7Vt/b7aafqYyYMAKysrAAA7969Q5kyZXDv3j3cv38f27dvl9aRSCQQi8V49uwZypbNeUF4eno60tNlOyYS8QeIVPLm7e1UxxVdG5RFr7nHEPIiBm6OZpg/oB4iYpKx/UyITF01VRVsm9wKIhEwfPlZmWWLhzRAVFwqGo3ZhdSMD+jVtAL2+bSD54gdeBsr3PBGRczynwefaZPQtEFdqKqqokzZcmjWvKXMkAJlF/k2Aovm+yNg1TpofJaV+1Sz5q1Qo6Y7YqKjsX3LRkwe7421G7d/c52ioHr1mgjaewBx799j/749GDdmJLZu3w1jExOhQyMFiMUSlCtfAcNHegMAypQth6dhYdi7O6hIdy6Ka7s/d3D/Pnh41oG5edG6Ntbdw0v6t5OzK8pVdEPHlo1x7vQJGBoZ4daNa9i4Y6+AEea/ubN98fRJGNZt2p5jWfOWrVHTvTaio6KwdfNGTBgzCuu37CjyxzHKG0WyU9W6dWvY2dkhMDAQ1tbWEIvFqFChAjIyMr66jo6OToHtV11dXfr3x2EFHztgSUlJGDBgAIYPH55j+7ZfyX74+/tjxowZMmWqjk2g7tRUofZ85Ne3Dhbsvo49F7OvEwl+Hg1bc32M7VJDplOlpqqC7ZNawdZcH83H75HJUtWrbIMWNUrD6ueV0vKRT86hYVU7/NqoHBbsvpEnsRY0G1tbrN+0DakpKUhKToKZmTnGjx6FkqVshA4tzzwKDcb72Bj06tZJWpaVlYW7t29i764d+PPaXaiqqkJXTw+6enqwtbNHBTc3NK7jjovnzqBJ85YCRp//tLS1YWtrB1tbO7hVqow2LZviwIG96NN3gNChkQLMzMzg6OgoU+ZQujTOnDkpUEQFo7i2+1Nv3rzGtauXsXDJMqFDyXd6evqwsbPDq5fhePrkb7x+9RLN6sleLzl53EhUqvITlq/dJEyQeWiu30xc+vMi1m7c+sVhfZ8exypWqoT6HrVw/uwZNGtRtI9jlDeKXKcqJiYGjx8/RmBgILy8ss/IXLp06Ye2FR4ejjdv3sDa2hoAcPXqVaioqMDV1TVH3bzab9WqVRESEgInJ6dcrzNx4kR4e3vLlJl3Wi33vr9GS0MNYrFEpixLLIbKJ2nhjx0qx5KGaDZ+D2IT02Tqa2tkdyQ/345YIikS49W1tLWhpa2NhPh4XL58CSO9xwgdUp6pVsMd2/cckimbNX0y7Bwc8Fuvvl+cFUkiASSQICPz6ycyiiqJWIzMb5zAIeVQqUpVPH8ue93oixfPYWVV8itrFA3Ftd2fOnRgP4yNTeBVp57QoeS7lJTk7I5UizZo0Lgp2rTrJLP8ty7tMNx7PDyU/LWQSCSY5z8LF86dwZr1m1GyVKlcrJN9HMsshscxKSWeNEIIRa5TZWRkBBMTE6xduxZWVlYIDw/HhAkTfmhbmpqa6NmzJxYsWICEhAQMHz4cnTt3/uLQv7za7/jx41GrVi0MHToUffv2hY6ODkJCQnD69GksX778i+toaGjkSE3n1dA/ADh27R+M71oTL6MSEfIiBpUdzTG8/U/Ycip7iJuaqgp2TGmFKk4W6DDtAFRVRLAwyp6iNDYxDZkfxLgW+gbvk9Kxbkwz+G2/gtSMD/i9uRvsLQxw4vo/eRZrQbv81/8gkQD29g54Gf4CixfOh4NDabRp10Ho0PKMjo4OHJ2cZco0tbRgYGAIRydnvH71EmdOHkdNdw8YGhnhXWQktmzMHipY27OOQFHnjZSUZLwMD5c+f/36FR4/CoW+gQEMDQyxLnA16tZrAFMzM8S9f4/dQTvw7l2kUk/B/K02W1lZIz4+Dm8jIvDu3TsAkP4ANzE1hWkRurD91996otdvv2Dd2tVo0qw5Hj64j317d2PqdF+hQ8tXxbXdH4nFYhw+uB+t27YrkrdWWb54Pjzq1IOllTWio95h3ZoVUFVRRaNmLWBkZPzFySksLK1gXfL7nZDCbO5sX5w4fhQLly6Hto4OoqOjAAC6unrQ1NTEq1cvcfrEcdSq7QEjIyNERkZi0/pAaGpowEPJj2NUcIrcN4aKigqCgoIwfPhwVKhQAa6urggICEC9evXk3paTkxM6dOiAFi1aIDY2Fq1atcLKlSu/WDev9uvm5oaLFy9i8uTJ8PLygkQigaOjI7p06SJ3/HnFe+U5TO/hgaVDGsLMUBsRMUlYf/w+/LZfBQBYm+qitXt2Zu36qh4y6zYZtxv/u/8KMQlpaDtlP3x6eeD43J+hrqqC0PAY/DzjEB48iy7wNuWVpMQkLFuyCJGRb2FgYIiGjRtjyPBRMkM8i7oSJTRw984tBO3YisSEeBibmKJy1Z8QuGkHjI2V+7qikOCH6Pd7T+nzhfPnAABat2mHydNm4PmzZ/jj8HDEvX8PA0NDlC9fERs2b8/RCVUm32qz7+w5uHj+HKZPnSRdPmFsdpZ8wKAhGDg4532tlFWFim5YtGQ5ApYuwtrVK1CyZCmMHT8JLVu1ETq0fFVc2/3R1SuXERHxBu3ad/x+ZSX07l0kpk8ai4T4OBgaGcOtclWs2bQDRkbKeV+93Nq7OwgAMOCT7zYAmD7TD63btodGCQ3cuX0TO7dtQUJCAkxMTFDlp2pYv2Vn8b4+lpkquYgkEonk+9WKHx8fHxw8eFB6Pytlo9VskdAhCCLmj1FChyCI9Myv3y6gKNNQ4xd+cVIUhgoTfU9y+gehQxCEhnrx/D7X0yi87daqK0yGOvXiNEH2q6gil6kiIiIiIiIFqfBEljwKb/eYiIiIiIhICbBT9RU+Pj5KO/SPiIiIiIgKDof/ERERERGRLE5UIRe+WkRERERERApgpoqIiIiIiGRxxlW5MFNFRERERESkAHaqiIiIiIiIFMDhf0REREREJIsTVciFrxYREREREZECmKkiIiIiIiJZnKhCLsxUERERERERKYCZKiIiIiIiksVrquTCV4uIiIiIiEgB7FQREREREREpgMP/iIiIiIhIFieqkAszVURERERERApgpoqIiIiIiGRxogq58NUiIiIiIiJSADtVRERERERECuDwPyIiIiIiksWJKuTCTBUREREREZECmKkiIiIiIiJZnKhCLny1iIiIiIiIFMBMFRERERERyeI1VXJhpoqIiIiIiEgBzFQVUTGHRwkdgiBM3L2FDkEQ768uFjoEIsonEonQEQijuJ4k1y6hKnQIgkhOzxI6BEHoaTC/UVSwU0VERERERLI4UYVc+GoREREREREpgJkqIiIiIiKSxUyVXPhqERERERERKYCdKiIiIiIiIgVw+B8REREREckqrlNw/iBmqoiIiIiISOlkZWVh6tSpcHBwgJaWFhwdHTFz5kxIPrkXhUQiwbRp02BlZQUtLS00atQIYWFhMtuJjY1F9+7doa+vD0NDQ/Tp0wdJSUlyxcJOFRERERERyRKpCPOQw9y5c7Fq1SosX74coaGhmDt3LubNm4dly5ZJ68ybNw8BAQFYvXo1rl27Bh0dHTRt2hRpaWnSOt27d0dwcDBOnz6NI0eO4M8//0T//v3lioXD/4iIiIiISOlcvnwZbdu2RcuWLQEA9vb22LlzJ65fvw4gO0u1ZMkSTJkyBW3btgUAbNmyBRYWFjh48CC6du2K0NBQnDhxAjdu3EC1atUAAMuWLUOLFi2wYMECWFtb5yoWZqqIiIiIiEiWSCTIIz09HQkJCTKP9PT0L4ZYu3ZtnD17Fn///TcA4N69e7h06RKaN28OAHj27Bnevn2LRo0aSdcxMDBAzZo1ceXKFQDAlStXYGhoKO1QAUCjRo2goqKCa9eu5frlYqeKiIiIiIgKBX9/fxgYGMg8/P39v1h3woQJ6Nq1K8qUKQN1dXVUqVIFI0eORPfu3QEAb9++BQBYWFjIrGdhYSFd9vbtW5ibm8ssV1NTg7GxsbRObnD4HxERERERFQoTJ06Et7e3TJmGhsYX6+7evRvbt2/Hjh07UL58edy9excjR46EtbU1evbsWRDhSrFTRUREREREsuScNCKvaGhofLUT9bmxY8dKs1UAULFiRbx48QL+/v7o2bMnLC0tAQCRkZGwsrKSrhcZGYnKlSsDACwtLfHu3TuZ7X748AGxsbHS9XODw/+IiIiIiEjppKSkQEVFtjujqqoKsVgMAHBwcIClpSXOnj0rXZ6QkIBr167B3d0dAODu7o64uDjcunVLWufcuXMQi8WoWbNmrmNhpoqIiIiIiGQpwc1/W7dujdmzZ8PW1hbly5fHnTt3sGjRIvz+++8AAJFIhJEjR2LWrFlwdnaGg4MDpk6dCmtra7Rr1w4AULZsWTRr1gz9+vXD6tWrkZmZiaFDh6Jr1665nvkPYKeKiIiIiIiU0LJlyzB16lQMHjwY7969g7W1NQYMGIBp06ZJ64wbNw7Jycno378/4uLi4OnpiRMnTkBTU1NaZ/v27Rg6dCgaNmwIFRUVdOzYEQEBAXLFIpJ8esthKjJSMorn22pS2/v7lYqg91cXCx0CEeWT4nqUVoKT5PlCLC6eb3hyepbQIQjCTK/w5je0OqwXZL+p+/sIsl9FFd53koiIiIiIBCEqrmc2fhAnqiAiIiIiIlIAM1VERERERCSDmSr5MFNFRERERESkAGaqiIiIiIhIFhNVcmGmioiIiIiISAHsVOWhTZs2wdDQ8Jt1fHx8ULlyZenzXr16SW8+RkREREREykepO1W56cQUNmPGjMHZs2eFDkNht27ewIihA9G4gReqVCyD82fPfLXuLN/pqFKxDLZv3VyAESpORUWEaQObI/TQFMRemovgg5MxoU9jmTrmxrpYO/0X/HPcBzGX5uJQQH842ph+dZsHl/ZH6s3FaF23Qn6Hn2/WB65Bt84d4V69Cup5uWPksMF4/uwfocPKd7uDdqBT+9aoXaMqateoit+6dcGl/10UOqwCcevmDQwbPBCN6nmiUnlXnPvG/3tRUVw/5wDQvEkDVK7gmuPhN2uG0KHlu6Ad29G8cQNUr1IR3bv+jAf37wsdUp4rDsfvL4l6FwnfqePRomFtNPCoih5d2uFRyEPp8vVrVqBbx1Zo5FkNzeq7Y8TgPgh+WPTef3mIRCJBHspKqTtVykhXVxcmJiZCh6Gw1NRUuLiUwcTJ075Z79zZ03hw/x7MzM0LKLK8M7pnQ/TrVBuj5u1H5Z/nYMqyI/Du0QCDu3hJ6+xe0AcOJU3w8+j1qNV9AcLfvsexlYOgrVkix/aGdasLCZT/po43b1xHl1+6Y+vO3VgTuBEfPnzAwH59kJKSInRo+crcwhIjRo3Bzj37sWP3PtSoWQsjhg7BkydhQoeW71JTU+Dq6oqJU6YLHUqBKa6fcwDYHrQXZy5ckj5WB24EADRu0kzgyPLXiePHsGCePwYMHoKgPQfg6loGgwb0QUxMjNCh5anicPz+XEJCPAb1+RVqampYsHQ1tu0+jKGjxkJPX19ax8bODqPGTcbmoANYuW4rrKxKwntIP7x/Hytg5KRMBO1UnThxAp6enjA0NISJiQlatWqFp0+fAgAuXLgAkUiEuLg4af27d+9CJBLh+fPnuHDhAnr37o34+Hhpz9bHxwcA8P79e/To0QNGRkbQ1tZG8+bNERb23w+fjxmuI0eOwNXVFdra2ujUqRNSUlKwefNm2Nvbw8jICMOHD0dW1n93+P7edj86ePAgnJ2doampiaZNm+Lly5fSZZ8P//ucWCyGv78/HBwcoKWlhUqVKmHv3r0/+ArnH0+vOhgyfCQaNGz81TrvIiMx128W/ObMh5qa8s2JUsvNHkcuPsSJv0IQHvEeB87ew9lrj1GtvC0AwMnWDDXd7DF8zl7cCnmJsBdRGO6/F5oa6ujctIrMttxcrDGiez0M9A0Soil5atXa9WjbvgOcnJzhWqYMfGfPQUTEG4SGBAsdWr6qV78BvOrUhZ2dPeztHTBsxChoa2vj/r27QoeW7zy96mLoiFFo2Ojr/+9FTXH9nAOAsbExTE3NpI8/L56HjY0tqlWvIXRo+Wrr5o3o0Kkz2rXvCEcnJ0yZPgOampo4uH+f0KHlqeJw/P7c9s3rYW5hiUnTZ6NcBTdYlyyFGrU8ULKUrbROk2atUL2mO0qWskFpRycMGzUOyclJeBr2t4CRC4uZKvkI2qlKTk6Gt7c3bt68ibNnz0JFRQXt27eHWCz+7rq1a9fGkiVLoK+vj4iICERERGDMmDEAsq9TunnzJg4fPowrV65AIpGgRYsWyMzMlK6fkpKCgIAABAUF4cSJE7hw4QLat2+PY8eO4dixY9i6dSvWrFkj06HJ7XZnz56NLVu24K+//kJcXBy6du2a69fE398fW7ZswerVqxEcHIxRo0bh119/xcWLyjXMSCwWY8qkcejZuw8cnZyFDueHXL3/HPWru8DJ1gwAUNHZGu6VSuPU5VAAgIZ69oEmLf2/918ikSAj4wNqVy4tLdPSUMemWb9h5Lx9iIxJLMAWFIykxOw26RsYCBxJwcnKysLxY0eRmpqCSpWqfH8FUnrF8XMOAJmZGTh25DDatu+o1D92viczIwOhIcGo5V5bWqaiooJatWrj/r07AkZW8IrC8ftzf/15HmXKlseU8aPQqrEXenfriMMH9ny1fmZmBg4d2ANdXT04ubgWYKSkzAQ9/dCxY0eZ5xs2bICZmRlCQkK+u26JEiVgYGAAkUgES0tLaXlYWBgOHz6Mv/76C7VrZ385bt++HTY2Njh48CB+/vlnAEBmZiZWrVoFR0dHAECnTp2wdetWREZGQldXF+XKlUP9+vVx/vx5dOnSRa7tLl++HDVr1gQAbN68GWXLlsX169dRo8a3z/Klp6fDz88PZ86cgbu7OwCgdOnSuHTpEtasWYO6det+93UpLDZuCISqqip+6f6b0KH8sAWbzkJfRxP39k5AllgCVRURpq88hqATtwEAj59HIjwiFjOHtsJQv91ITs3A8O51UcrSCJam/w0pmDe6Ha7ef44jFx9+bVdKSywWY95cP1SuUhXOzi5Ch5Pvwv5+jN+6dUVGRjq0tbWxOGAFHJ2chA6L8llx+5x/6tzZM0hMTESbdu2FDiVfvY97j6ysrBzD801MTPCsmFxL91FROH5/7s3rVzi4bxe6dO+JHr37IzTkAZYs8Ie6ujqat2onrffX/y7AZ9IYpKWlwcTUDItXBMLQ0EiwuEm5CNqpCgsLw7Rp03Dt2jVER0dLM1Th4eHQ1tb+oW2GhoZCTU1N2qkBsr8UXV1dERoaKi3T1taWdqgAwMLCAvb29tDV1ZUpe/funVzbVVNTQ/Xq1aXPy5QpA0NDQ4SGhn63U/XkyROkpKSgcWPZlHxGRgaqVPn62fD09HSkp6fLlGWJSkBDQ+Ob+8svIcEPsXPbVuzYvU+pz2x2alwZXZtVRa8p2xDy9C3cXEtivnc7REQlYPvRG/iQJUbXsRuxampXRJz3w4cPWTh3/W+c+CsEon9v7tCyTnnUq+aMWt0XCNya/OE3awaehoVh09YdQodSIOztHbB730EkJSXi9KmTmDppPNZv2saOVRFX3D7nnzq4fx88POvA3NxC6FCoABSV4/fnxGIxypSrgAFDRgIAXMqUxbOnT3Bw326ZTlXVajWwccc+xMXF4Y8DezFt4mis3bQTRsbKfy38jyhKn4GCIGinqnXr1rCzs0NgYCCsra0hFotRoUIFZGRkSDs3Esl/F/Z/OsxOUerq6jLPRSLRF8tyMxQxryQlJQEAjh49ipIlS8os+1YHyd/fHzNmyM7KNGnKNEye6pPnMebGndu3EBsbgxZNGkjLsrKysGjBXGzfthnHTp4TJC55+Q1vjQWbz2LPqeyhH8FPI2BrZYSxvRti+9EbAIA7j16hVvcF0NfRRAl1VUTHJePPTSNxKyT7Orp61ZxRupQJ3p73k9n2znm98dfdf9B0wIqCbVQe8pvliz8vXsCGzdtg8Um2uChTL1ECtnZ2AIBy5Ssg+OEDbN+2BdN8fAWOjPJLcfycf/TmzWtcu3oZC5csEzqUfGdkaARVVdUck1LExMTA1PTrM7oWNUXl+P05E1Mz2Ds4ypTZOZTGhXOnZcq0tLRRysYOpWzsUKFiJXRt3xxHDu3Hb737FWS4pKQE61TFxMTg8ePHCAwMhJdX9mxqly5dki43M8u+jiUiIgJGRtmp17t378pso0SJEjITSQBA2bJl8eHDB1y7dk06TO/jvsqVK/fD8eZ2ux8+fMDNmzelWanHjx8jLi4OZcuW/e4+ypUrBw0NDYSHh8s11G/ixInw9vaWKcsS5Zx9rqC0bN0GNWu5y5QNHtgXLVu1RVslGkKipVkCYrHsbH1ZWWKofOHMTUJyGgDA0cYUVcvaYMaq4wCABZvPYuOhqzJ1b+0aj3GLDuLo/5TzgneJRAL/2TNx7uxprN+0FaVK2QgdkmDEYjEyMzKEDoPyAT/nwKED+2FsbAKvOvWEDiXfqZcogbLlyuPa1Sto0LARgOz/72vXrqDrL78KHF3BKSrH789VrFQF4S+eyZS9fPEcllbW31xPLJYgoxh/xzNTJR/BOlVGRkYwMTHB2rVrYWVlhfDwcEyYMEG63MnJCTY2NvDx8cHs2bPx999/Y+HChTLbsLe3R1JSEs6ePYtKlSpBW1sbzs7OaNu2Lfr164c1a9ZAT08PEyZMQMmSJdG2bdsfjje321VXV8ewYcMQEBAANTU1DB06FLVq1fru0D8A0NPTw5gxYzBq1CiIxWJ4enoiPj4ef/31F/T19dGzZ88vrqehoZEjk5WSkb9Td6ekJONleLj0+evXr/D4USj0DQxgZWWdYwyympoaTE1NYe9Q+vNNFVrH/heM8b83xsu3cQj5JwKVXUthePd62HL4mrROh4aVEBWXhJdv41DByQoLRrfHHxcf4Oy1xwCAyJjEL05O8fLte7x4o5zTtPrNnIHjx45gybKV0NHWQXRUFABAV08PmpqaAkeXf5YuXghPrzqwtLJCSnIyjh09gps3rmPV2vVCh5bvUpKTEf7p//urV3gUGgoDAwNYWX/7R4myKq6f84/EYjEOH9yP1m3bFYnZ33Ljt569MXXSeJQvXwEVKrph29bNSE1NRbv2HYQOLU8Vh+P357p064GBv/+KLRvWokHjpggJfoDDB/Zi3GQfANm3jdiyYS086tSHqakZ4uLeY//unYiOikT9Rk2FDZ6UhmDflCoqKggKCsLw4cNRoUIFuLq6IiAgAPXq1QOQ3TnZuXMnBg0aBDc3N1SvXh2zZs2STggBZM8AOHDgQHTp0gUxMTGYPn06fHx8sHHjRowYMQKtWrVCRkYG6tSpg2PHjuUY3iev3GxXW1sb48ePR7du3fD69Wt4eXlh/frc/+iaOXMmzMzM4O/vj3/++QeGhoaoWrUqJk2apFDseS0k+CH6/f5fJ2/h/DkAgNZt2sF39hyhwspT3vP3Y/rA5lg6oSPMjHQREZ2A9fsvwy/wlLSOpak+5o5qC3MTPbyNTsD2ozfhv+7UN7aq/Hbv2gkA6NNL9iJm31n+aFvEfnx8KjY2BlMmjkdU1Dvo6unBxcUVq9auh3ttD6FDy3fBwQ/Rt3cP6fMF8/wBAG3atsdMv6Lx//654vo5/+jqlcuIiHiDdu07fr9yEdGseQu8j43FyuUBiI6OgmuZsli5Zh1Mitjwv+Jw/P5c2fIV4bdgKdYsX4JN61bByroUho8ejybNWwEAVFRU8eL5Mxw/cgjxce+hb2CIsuUqYEXgFpR2LMbXzDJRJReR5NOLlqjIyO9MVWFlUtv7+5WKoPdXFwsdAhHlk+J6lC6uI48+H3ZeXCSnZ32/UhFkpld4M8EG3bYKst/4Hco586Sg96kiIiIiIiJSdoW3e0xERERERILgRBXyYaaKiIiIiIhIAcxUERERERGRDGaq5MNMFRERERERkQLYqSIiIiIiIlIAh/8REREREZEMDv+TDzNVRERERERECmCmioiIiIiIZDBTJR9mqoiIiIiIiBTAThUREREREZECOPyPiIiIiIhkcfSfXJipIiIiIiIiUgAzVUREREREJIMTVciHmSoiIiIiIiIFMFNFREREREQymKmSDzNVRERERERECmCnioiIiIiISAEc/kdERERERDI4/E8+zFQREREREREpgJkqIiIiIiKSxUSVXJipIiIiIiIiUgA7VURERERERArg8D8iIiIiIpLBiSrkw0wVERERERGRApipKqLSP4iFDkEQ768uFjoEQTgOOyB0CIIIXdxW6BAEkZD6QegQBKGnWTwPWRlZxfP7XEtdVegQBKFSTJMDusX0/7swY6ZKPsxUERERERERKYCnBYiIiIiISAYzVfJhpoqIiIiIiEgB7FQREREREREpgMP/iIiIiIhIBof/yYeZKiIiIiIiIgUwU0VERERERLKYqJILM1VEREREREQKYKeKiIiIiIhIARz+R0REREREMjhRhXyYqSIiIiIiIlIAM1VERERERCSDmSr5MFNFRERERESkAGaqiIiIiIhIBjNV8mGmioiIiIiISAHsVBERERERESmAw/+IiIiIiEgWR//JhZkqIiIiIiIiBTBTRUREREREMjhRhXyYqSIiIiIiIlIAO1VEREREREQK4PA/IiIiIiKSweF/8mGmioiIiIiISAHsVOWRevXqYeTIkV9dbm9vjyVLlsi9XR8fH1SuXPmH4yIiIiIikpdIJBLkoaw4/K+A3LhxAzo6OkKHkS+2bAjEymWL0aXbbxg1dqLMMolEglFDB+Dq5UuYuygAdes3EijK/HHr5g1s2rAeoSEPERUVhcUBK9CgoXK38eqsJrAxyflZ3XTxH0wOuofunvZoV70UKtoYQk9LHWW9jyAhNVOmrqG2OmZ2qYTGFS0hlkhw7M4bTNtzHynpWQXVDIVtXL8W58+exotn/0BDQxNulatg6MjRsLd3kNZ59TIcSxfOw927t5GZkQF3Dy+MmTAZJiamAkaumKysLGxZtxJnThxFbGw0TEzN0LRlW/zae4D0YBcbE43AFYtx6/oVJCUmwq3KTxjqPRGlbO0Ejv7H7d29E/v3BCHizWsAgIOjE/r2H4zannUQHx+HtauW49qVvxD5NgKGRsaoW78hBg4eDl09PYEjV8z6NSuwce1KmTJbOwfs2H8EAPD6ZTiWL1mAB3dvIyMzAzXdPTFq3CQYK/FnHAA2rFuD82dP4/kn/9/DR46GvUNpaZ39e3fhxLEjeBQaguTkZFy4dB16+voCRq24WzdvYMum9QgJCUZ0VBQWLVmO+p8cs86eOYW9u4MQGhKM+Ph4BO05ANcyZQWMuGBsWLcWAUsWotuvPTBuwmShwyElxUxVATEzM4O2tvZXl2dmZn51WWEWEvwAB/bthpOz6xeXB23fotRnHb4nNTUFrq6umDhlutCh5JkWcy6g8vhj0kfXpZcAAEduZf/Y1CqhigvB77DsxN9f3cay36vB1UoPvwT8hZ4rr6KWsynmda9SIPHnlds3b+DnLt2wYWsQlq9Zjw8fMjFsYB+kpqQAAFJTUjB0YF9AJMKqwE1Yt3kHMjMz4T1sMMRiscDR/7igrRtweP9uDBszCRt3HkK/IaOwa9tGHNi9A0D2iZJp40cg4s0r+M4LwJotu2FuaYWxw/shNTVF4Oh/nIWFJYYM98bmHXuxacceVKteC2NGDsXTJ2GIjnqH6Kh3GOE9Djv3HsY0Xz9c+et/mDVjitBh5wkHRyccOnlB+li5fiuA7O+3UUP6QyQSYenqDVi1fhs+ZGZi/KghSv0ZB/79/+7aDZu27cLKtRvw4cMHDBnYV/r/DQBpqWlw9/BC774DBIw0b6WmpsLFpQwmTp721eWVq/yE4aPGFHBkwnn44D727gmCi8uXf8cUZ8xUyYedqjz04cMHDB06FAYGBjA1NcXUqVMhkUgA5Bz+JxKJsGrVKrRp0wY6OjqYPXs2AGDOnDmwsLCAnp4e+vTpg7S0NCGakispKcmYPmkcJk6d8cWzd38/DsWOrZswxWeWANEVDE+vuhg6YhQaNmosdCh5JjYpA1EJ6dJHo4qWePYuCVfCogEA6849xYpTf+P2s9gvru9kqYcG5S0xZtsd3Hn+HjeexmDKrnto+1MpWBhoFmRTFLJsVSBat20PRydnuLiWwXRff7yNiEBoaDAA4N7dO4h48xrTZ/rDydkFTs4u8Jnpj9CQh7hx/arA0f+44Ad3UbtOfdTyqANL65Ko26AJqtWojUchDwAAr16+QOjD+xg5birKlKsAGzsHjBw3FRnp6Th36rjA0f84r7r14eFVF7Z29rCzc8DgYSOhra2Nhw/uwdHJBXMXBsCrbn2UsrFF9Rq1MGjoSPzv4nl8+PBB6NAVpqqqChNTM+nD0MgIAPDg7h28jXiNyT6z4ejsAkdnF0ye4YdHIcG4deOawFErZvnqdWjTtoP0/3vGTH+8jXiD0JBgaZ1uv/VE7z79UdGtkoCR5i1PrzoYMnwkGjT88jGrVeu2GDBoCGrVci/gyISRkpKMSRPGYprPLOjpGwgdDik5dqry0ObNm6Gmpobr169j6dKlWLRoEdatW/fV+j4+Pmjfvj0ePHiA33//Hbt374aPjw/8/Pxw8+ZNWFlZYeXKlV9dX2gL/GfBw6suatSqnWNZWmoqpk0ci7ETpsDE1EyA6CgvqKuK0KGGDXZdeZHrdX5yMEZcSgbuh8dJy/73KApiiQRV7I3yIcqCkZSUCADQ//fAm5GRAZFIhBIlSkjrlNDQgIqKCu7duS1IjHmhfMXKuHPjGl6GPwcAPA17jAf3bqOGuycAIDMjAwBQooSGdB0VFRWoq6vj4T3lbfensrKycOrEUaSmpqCiW+Uv1klKSoSOri7U1JR/FP2r8HC0bVoPP7dpihmTx+FtxBsAQEZm9mdc/Quf8ft3i8Z7/ZH0/9uAP6yLE79ZvvCqUxe13HP+jiGSl/IfDQoRGxsbLF68GCKRCK6urnjw4AEWL16Mfv36fbF+t27d0Lt3b+nzrl27ok+fPujTpw8AYNasWThz5kyhzFadPnEMjx+FYMO23V9cvmThHFSsVAV16jcs4MgoLzWrZA19LXXsvhKe63XMDTQQk5guU5YlliAuJRPmSpSp+pRYLMaief6oVLkqnJxdAAAV3SpBU0sLy5YswJBhoyCRSLB86SJkZWUhOipK4Ih/3C89+iAlOQm9u7SBiooqxOIs/D5wOBo1awUAsLV3gLmlFdatWoJR46dBU0sbe3duQdS7SMTGRAscvWKehP2NPj1+QUZGOrS0tDFv0TKUdnTKUS/u/XtsCFyFdh06CxBl3ipXwQ2TfGbD1t4eMVFR2Bi4CkP69sDW3YdQvmIlaGpqYVXAQgwYMhISSLB62WJkZWUhJlp5P+OfE4vFWDDPD5Wq/Pf/TUXfiWNH8Sg0BNuD9godSuGlvCPxBMFMVR6qVauWzFhQd3d3hIWFISvryxfnV6tWTeZ5aGgoatasKVPm7v79FHx6ejoSEhJkHunp6d9d70dFvo3Aovn+8Jk9DxoaGjmW/3nhHG5ev4ZRYyfkWwxUMLp62OF8cCQi4wtfx74gzfPzxdOnYZg9b6G0zMjYGHPmL8H/Ll5AHfefUN+zBhITE1CmbDmoqCjvkejC2ZM4e/IoJvnOxerNuzB+2mzs3r4JJ48eAgCoqaljxpzFeBX+Au2aeKJFveq4d/sGarh7KvVYeACws7fHtl37sWHrLnTs3BUzpk3EP0+fyNRJSkrCqGED4VDaCf0HDhEo0rzj7uGFBo2bwsnZFTVre2J+wCokJSbi3OkTMDIyxsy5i/DXnxfR2Ks6mtWthaTERLiUKQcVUdH5+TBnti+ePgmD/9xFQodCBeRtRATmzZkNvznzv/g7huhHMFMloLyaDdDf3x8zZsyQKRs3aSomTM6fyRMehQbjfWwMenXrJC3LysrC3ds3sXfXDrTv1AWvX71E4zq1ZNabOGYkKlX5CavWbc6XuChvlTTWglcZc/RdI9+1E+/i02GiJ3uQUlURwVBbHe+UsHM2z28m/vfnRazdsBUWFpYyy2rV9sDBo6cQ9/49VFVVoaevj6YNvNCklI1A0Spu7bKF6NqjDxo0bg4AKO3kgsiIN9i5ZR2atmwLAHApUx5rt+5FUlIiPmRmwtDIGEN+7waXsuWEDF1h6uolYPPvDIZly5VHSPAD7NqxFROnZn+/JicnY8TgftDWyc5iqamrCxluvtDT04eNnR1evczOTtdw98DuwyeyP+NqqtDT00ebJnVgXaq5wJHmjbl+vrj05wUEbtwGC0vL769ARUJISDBiY2PwS+cO0rKsrCzcvnUDu3Zux/XbD6CqqipghIWDsp8oK2jsVOWha9dkf3xevXoVzs7Ouf7HLFu2LK5du4YePXrIbON7Jk6cCG9vb5mylKz8e2ur1XDH9j2HZMpmTZ8MOwcH/NarLwwNDdG+UxeZ5d1/bosRo8fDq279fIuL8lYXdztEJ6bj7MO3cq1361ksDLVLoKKtIR78e12Vh6sZVEQi3Hn+Ph8izR8SiQTz/WfhwrkzWL1+M0qWKvXVuh8v7L9x7Srex8bAq16Dggozz6WlpeXIQqioqkIsluSoq6ubPZ34q/AX+PtRMHoPGFogMRYUsViCjH+vIUtKSsLwwX1RQr0EFi5ZWWTPbqekJOP1q5do2qKNTPnHz/it61fxPjYWnnWU+7tcIpFgnv9MnD93BmvXb/nm/zcVPTVr1cLeA3/IlE2bMhEODqXRu08/dqjoh7BTlYfCw8Ph7e2NAQMG4Pbt21i2bBkWLlz4/RX/NWLECPTq1QvVqlWDh4cHtm/fjuDgYJQuXfqb62loaOQ4wGel5N/9gHR0dODo5CxTpqmlBQMDQ2n5lyansLSygnXJonXgSklORnj4f9cbvX71Co9CQ2FgYAAra2sBI1OMSJTdqdpzNRxZn/2YNtPXgLm+JuzNszOtZUrqIzntA17HpiAuJRNP3ibiXPBbzO9eBRN23IWaqgizu1TCoVuvlGoY4Vw/X5w8fhQLliyHto4Oov+9hkRXVw+amtnXhh0+uB8OpUvDyMgY9+/dxaJ5fvjl154y97JSNu6edbF901qYW1rB3sERT/5+hL07t6BZq3bSOhfPnoSBoTHMLS3x7GkYViyaC486DVCtpvJe7L0iYBHcPbxgaWmNlJRknDx+BLdvXkfAysDsDtWg7NlYfWfPQ1JyEpKSkwAARkbGSv0DbPni+fCoUw+WVtaIjnqH9WtWQFVFFY2atQAAHD18AHYOpWFkaISHD+5h6QJ/dO7WA7ZK/BkHsof8nTh+BIuWrvjq/3d0dBRioqPx8t/v+Cdhf0NbRweWVlYwMDAUKnSFpKQkS9sDAK9fv8LjR6HQNzCAlZU14uPj8DYiAu/evQMAPH/+DABgYmoK0yI06ZSOjm6O6+e0tLRhYGjI6+roh7FTlYd69OiB1NRU1KhRA6qqqhgxYgT69++f6/W7dOmCp0+fYty4cUhLS0PHjh0xaNAgnDx5Mh+jJkUEBz9E397/ZRYXzPMHALRp2x4z/eYIFZbCvMqYo5SJNnZdzjnr329eDhjd6r+bQR4YXQcAMGrzLey+mn2wHrbhJmZ1rYRdIz0glgDH7rzB1N33Cib4PLJvdxAAYGCfnjLl03z90LptewDAi+fPsCJgMRLi42FtbY3efQei2289c2xLmQwbPQkb1y7H0vmzEPc+FiamZmjVrhN+6zNIWicmOhqrls7H+9gYGJuaoUnz1vj194ECRq242NgYzJgyAdHRUdDV1YOTiwsCVgaiprsHbt24jocP7gMAOrRuKrPewaNnYF2ypBAh54mod5HwmTQWCfFxMDQyhlvlqlizaQeMjIwBAOHPn2HN8uzPuKV1SfT4vT+6dFfuzziQfbNnAOj/ew+Z8ukz/dCmbfaQsH27g7B29Qrpsr69f81RR9mEBD9Ev9//e/8Wzs8+TrVu0w6+s+fg4vlzmD51knT5hLHZo2AGDBqCgYOHFWywJDgO/5OPSPLxRkpUpLzPx0xVYaZVQnnPGCvCcdgBoUMQROjitkKHIIiEVOW/N9KP0NMsnucBM7KU+0a7P0pLvXh+nyvxPDcKKa4/4LUK8aWZjqOFuffg04XKec1m8TxCERERERHRVxXTfu4PKzpzohIREREREQmAmSoiIiIiIpJRXIdk/ihmqoiIiIiIiBTAThUREREREZECOPyPiIiIiIhkcPSffJipIiIiIiIiUgAzVUREREREJIMTVciHmSoiIiIiIiIFsFNFRERERESkAA7/IyIiIiIiGRz9Jx9mqoiIiIiIiBTATBUREREREclQUWGqSh7MVBERERERESmAmSoiIiIiIpLBa6rkw0wVERERERGRAtipIiIiIiIiUgCH/xERERERkQwRx//JhZkqIiIiIiIiBTBTRUREREREMpiokg8zVURERERERApgp4qIiIiIiEgBHP5HREREREQyOFGFfJipIiIiIiIiUgAzVUREREREJIOZKvkwU0VERERERKQAZqqKKHXV4tlflkiEjkAYd+a1EjoEQTRa9KfQIQjiyDAPoUMQRGxyhtAhCEJfq3geqjOzxEKHIAgNtWJ6/EYxPYCD2aCionh+UxMRERER0Vdx9J98iufpECIiIiIiojzCTBUREREREcngRBXyYaaKiIiIiIhIAcxUERERERGRDCaq5MNMFRERERERkQLYqSIiIiIiIlIAh/8REREREZEMTlQhH2aqiIiIiIiIFMBMFRERERERyWCiSj7MVBERERERESmAnSoiIiIiIiIFcPgfERERERHJ4EQV8mGmioiIiIiISAHMVBERERERkQwmquTDTBUREREREZECmKkiIiIiIiIZvKZKPsxUERERERERKYCdKiIiIiIiUkqvX7/Gr7/+ChMTE2hpaaFixYq4efOmdLlEIsG0adNgZWUFLS0tNGrUCGFhYTLbiI2NRffu3aGvrw9DQ0P06dMHSUlJcsXBThUREREREckQiYR5yOP9+/fw8PCAuro6jh8/jpCQECxcuBBGRkbSOvPmzUNAQABWr16Na9euQUdHB02bNkVaWpq0Tvfu3REcHIzTp0/jyJEj+PPPP9G/f3+5YuE1VUREREREpHTmzp0LGxsbbNy4UVrm4OAg/VsikWDJkiWYMmUK2rZtCwDYsmULLCwscPDgQXTt2hWhoaE4ceIEbty4gWrVqgEAli1bhhYtWmDBggWwtrbOVSzMVBERERERkQyRSCTIQx6HDx9GtWrV8PPPP8Pc3BxVqlRBYGCgdPmzZ8/w9u1bNGrUSFpmYGCAmjVr4sqVKwCAK1euwNDQUNqhAoBGjRpBRUUF165dy3Us7FQREREREVGhkJ6ejoSEBJlHenr6F+v+888/WLVqFZydnXHy5EkMGjQIw4cPx+bNmwEAb9++BQBYWFjIrGdhYSFd9vbtW5ibm8ssV1NTg7GxsbRObrBTRUREREREhYK/vz8MDAxkHv7+/l+sKxaLUbVqVfj5+aFKlSro378/+vXrh9WrVxdw1LymqlDz8fHBwYMHcffuXaFDkbFh3RqcP3saz5/9Aw0NTbhVroLhI0fD3qG0tE56ejoWL5iLUyeOIiMjE+61PTBhynSYmJgKGHnea96kASLevM5R3rlrN0yaMl2AiPJH1LtIrFq2CNcuX0JaWhpKlbLFxOkzUaZcBQDAbJ/JOHHkkMw6Ndw9sHDZGiHC/SFmuiUwtIEjapc2hoa6Cl69T8XMI48R+jYRAFDP1RQdqlijrKUeDLTV0X3dTYS9k50ZqF1lKzQtbwFXS13oaqihwcJLSEr/IERzFPK999urWoUvrjdouDe69fi9IEP9YQ/u3sLeHZsQ9igUsTFRmOa/GLXrNJAuv3ThDI4d3IOwx6FITIjHio274OhSJsd2Qh7ew+Y1y/Ao5AFUVVRR2tkVsxevgoaGZkE254etW70CG9aulCmztXdA0P4jAICD+3bj9IljePwoBCnJyTh58Qr09PSFCDVfbdkQiJXLFqNLt98wauxEANltP3n8qLTtp/+8WiTafuvmDWzZtB4hIcGIjorCoiXLUb9h9tCozMxMrFy2FJf+dxGvXr+Crq4uataqjeEjvWFubvGdLRdut27ewJaNn7R76X/tBrKvvVm1YhkO7N2DxMQEVKpSFZOmToednb1wQQtMqNtUTZw4Ed7e3jJlGhoaX6xrZWWFcuXKyZSVLVsW+/btAwBYWloCACIjI2FlZSWtExkZicqVK0vrvHv3TmYbHz58QGxsrHT93GCniuR2++YN/Ny1G8qXr4isrCwsD1iMIQP7Yu+BI9DS1gYALJznj0v/u4g5C5ZCT08Xc/1mYuyoYdiwZafA0eet7UF7IRZnSZ8/CQvDwH690bhJMwGjyluJCfEY3Oc3VKlWA/OXroahkRFevXwBPX3ZHxc1a3ti4rRZ0uclSqgXdKg/TE9TDYE9quLWi/cYses+4lIyYWOshYS0TGkdLXVV3HsVj7OhUZjc0vWL29FUV8WVf2Jx5Z9YDK1f+ot1CrvcvN8HT1yQWefq5f9h7sxpqNegcQFH++PSUlPh4OSKJi3bYeYk75zL01JR3q0KvBo0xdK5M764jZCH9zDFezC6/PY7Bo2aAFVVNTx78hgikXINAnFwdELAqnXS56qq//00SE9LQ83aHqhZ2wOrly0RILr8FxL8AAf27YaTs+z/dVpaGtxre8K9tidWLlssUHR5LzU1FS4uZdC2fUeMHjlMZllaWhpCQ0PQb8BguLi6IiEhAfPn+mHksMHYsWufQBHnjdTUVLi4frndALBpwzrs3L4VvrPnoGTJUli5fCmGDOiLfYeOfvUHPeUPDQ2NXL/mHh4eePz4sUzZ33//DTs7OwDZk1ZYWlri7Nmz0k5UQkICrl27hkGDBgEA3N3dERcXh1u3buGnn34CAJw7dw5isRg1a9bMddzsVOUzsViMBQsWYO3atXj58iUsLCwwYMAATJ48GePHj8eBAwfw6tUrWFpaonv37pg2bRrU1dWxadMmzJiRfSD/eNHexo0b0atXLwFbk2356nUyz2fM9EejerURGhKMqtWqIzExEYcO7MPsOfNRo2YtAMD0mf7o1LYFHty7i4qVKgsQdf4wNjaWeb5h3VrY2NiiWvUaAkWU97Zv3gBzC0tMmv5fh8m6ZKkc9dTVS8DEVDkzkT1q2eJdYhpmHv3vi/lNfJpMneMPIwEAVgZfz0AE3XgFAKhqa5j3QRaQ3Lzfn7/Ply6eR5VqNWBdyqZAYswL1d09Ud3d86vLGzVrDQB4G5EzE/3R2qXz0bbTL+jyWx9pmY0SntVWU1WFianZF5d16d4DAHD75vWCDKnApKQkY/qkcZg4dQY2rpPNrHf9t+23iljbPb3qwNOrzheX6enpYXXgBpmyCZOm4tdffkZExBtYWeVuFrTC6Fvtlkgk2LF1C/r1H4j6DRoCAGb6zUWjuh44f/YMmrVoWZChFhryThohhFGjRqF27drw8/ND586dcf36daxduxZr164FkN2GkSNHYtasWXB2doaDgwOmTp0Ka2trtGvXDkB2ZqtZs2bSYYOZmZkYOnQounbtmuuZ/wB2qvLdxIkTERgYiMWLF8PT0xMRERF49OgRgOwvr02bNsHa2hoPHjxAv379oKenh3HjxqFLly54+PAhTpw4gTNnzgDInq2kMEpKyh4epf9vfKEhwfjwIRM1a9WW1nFwKA1LK2vcv1+0OlWfyszMwLEjh/Frj95K8UWUW5f+PI8atTwwdbw37t6+CTMzc7T7uSvatO8kU+/urRto3bgO9PT0UbV6DfQbNBwGhobCBC0nLxcTXPsnFv7ty6GKrSGiEtOx9/YbHLobIXRoBS637/dHsTHRuHLpT0yeMbuAIxVW3PsYPAp5gPpNWmDUgB6IeP0SNnYO6Nl/KCpUqip0eHJ5GR6ONk3qoYSGBiq4VcLAoSNhqcQ/nuWxwH8WPLzqokat2jk6VZQtMTERIpGoSAx9/JrXr14hOjoKNd3/+92ip6eHCm5uuH/vbrHtVCmD6tWr48CBA5g4cSJ8fX3h4OCAJUuWoHv37tI648aNQ3JyMvr374+4uDh4enrixIkT0NT87yTp9u3bMXToUDRs2BAqKiro2LEjAgIC5IqFnap8lJiYiKVLl2L58uXo2bMnAMDR0RGentlnR6dMmSKta29vjzFjxiAoKAjjxo2DlpYWdHV1oaamJtd4zoImFouxYJ4fKlWpCidnFwBATHQU1NXVcwwPMzExQUx0tBBhFohzZ88gMTERbdq1FzqUPBXx+hUO7duFzt174Lfe/fAo5CGWLvCHuro6mrfKvudDTXcP1K3fCFYlS+L1q5dYu2Ipxg4fiFUbt0NVVVXgFnxfSUMtdKhaEjuuvcTGy+EoZ6WH0Y2d8CFLjKMPIoUOr0Dl5v3+1PEjh6Gto4069Rt9YWtFV8Tr7AzWtg2r0W+oN0o7u+Ls8SOYOKI/Vm/dh5I2dgJHmDvlK7phyozZsLWzR3R0FDasXYVBfXpg255D0NHRETq8fPXxWrEN23YLHUqhlZ6ejoDFC9CseUvo6uoKHU6+iY6OAgAYm5jIlJuYmBbp3y3foyznh1u1aoVWrVp9dblIJIKvry98fX2/WsfY2Bg7duxQKA52qvJRaGgo0tPT0bBhwy8u37VrFwICAvD06VMkJSXhw4cP0NeX/0xQenp6jqkmM1GiQMYAz5nti6dPwrB+k2IfxKLg4P598PCso/QX835OLBajTLnyGDBkJADApUxZ/PM0DIf27Zb+yG7UtIW0vqOTC5ycXNClXXPcuXUD1WrUEiJsuaiIgNCIRKy6+AwA8HdkEhzNdNChinWx61Tl5v3+1LHDB9C4Watid82BRCIGALRo2wlNWrYDADi5lMWdW9dw8shB/D5ohIDR5Z67h5f0bycXV5Sv6IYOLRvj3OkTaN2uo4CR5a/ItxFYNN8fAavWFbvPbm5lZmZi3JiRkACYNNVH6HCICj3luppWyWhpaX112ZUrV9C9e3e0aNECR44cwZ07dzB58mRkZGTIvZ8vTT25cN6Xp57MS3P9fHHpzwtYs24LLD7JppmYmiEzMxOJCQky9WNiYpT2mpvvefPmNa5dvYz2Hb88REqZmZiawc7BUabMzqE0It9+fWicdSkbGBga4fXL8PwOL09EJ2XgWXSKTNnzmBRYfOP6qaJKnvf73p1bCH/xDK3bdSio8AoN439nMrV1kJ2QxNbOAVGRub+vSWGjp6cPG1s7vFKS/90f9Sg0GO9jY9CrWyd4VKsIj2oVcefWDezeuQ0e1bInYSrOMjMzMX7MKES8eYNVa9cX6SwVAJj+e01hbEyMTHlMTHSR/d1CeY+Zqnzk7OwMLS0tnD17Fn379pVZdvnyZdjZ2WHy5MnSshcvXsjUKVGiRK6+2L809WQmSigQ+bdJJBLM85+J8+fOYO36LShZSvYi9rLlykNNTR3Xr11Bw8ZNAQDPn/2DtxFv4OZWOd/iEtKhA/thbGwCrzr1hA4lz1WsVAUvXzyXKXv54gUsP5ma9HPvIt8iIT7uqxe/Fzb3X8XDzkT2JIitsRbefjZZRXEgz/t95NB+uJYtB6cvTDVe1FlYlYSJqRleffZavX75AtVqfX0CjMIuJSUZr1+9RLOWbYQOJV9Vq+GO7XtkbwMxa/pk2Dk44LdefZVi2HJ++dihCg9/gbXrN8PQ0EjokPJdyVKlYGpqhmtXr8C1TFkAQFJSEh7ev4+fO/8icHTCKUrXhxcEdqrykaamJsaPH49x48ahRIkS8PDwQFRUFIKDg+Hs7Izw8HAEBQWhevXqOHr0KA4cOCCzvr29PZ49e4a7d++iVKlS0NPT++IwhS9NPZmULsm3ds2Z7YsTx49g0dIV0NbRkY5F1tXVg6amJvT09NC2fUcsWjAX+gYG0NXVxTz/WXCrVLlITlIhFotx+OB+tG7bDmpqRe9fqnO33zDo99+wZcNaNGjcDKHBD/DHgb0YOzn7PlwpKSnYGLgS9Ro0hrGJKV6/eolVAYtQ0sYWNdw9BI4+d3Zcf4X1PaqgV21bnAmNQnkrPbSrbA2/4//NBqivqQYLfU2Y6WWfsPjYCYtNzkBMcnaG2USnBIx1SsDGKHuZk7kOktOzEJmQhoQ05bhf1ffe74+Sk5Jw4cwpDBk5RqBIFZOakoI3r/7Lxrx98xpP/34EPX0DmFtaITEhHu/eRiDm3++3V+HPAQBGJqYwNjGFSCRCp269sHX9KpR2doWjsytOHzuMly+eY/KshUI06YcsWzwfnnXqwdLKGtFR77Bu9QqoqqiicbPsIb0x0VGIiYmWZq6ehoVBW0cblpZW0DcwFDByxejo6MDRyVmmTFNLCwYGhtJyadvDP7b9b2jr6MDC0goGStz2lJRkvAz/77P/+vUrPH4UCn0DA5iammGs9wg8Cg3B0hWrIRZnSY/xBgYGUFfPvxO2+e1b7bayska333pg3drVsLWzR8mSJbFyeQDMzM1l7mVF9C0iiUSSf7++CWKxGP7+/ggMDMSbN29gZWWFgQMHYuLEiRg3bhw2bNiA9PR0tGzZErVq1YKPjw/i4uIAZF8r1b17d5w9exZxcXFyTamen52qn9y+fFZ6+kw/tGmbPQzo481/Tx4/ioyMDLh7eGLC5GnSFHt+UVUp+LMql/+6hMED+uDQkROws3co8P0DQOIn91PKD3/97wLWLl+KVy9fwMq6JDp37ymdDS49LQ0TxwxH2ONHSEpMgKmZOarXqo2+A4dKh0jll1bL/sqzbXk6mWBwPQfYGGvjTVwqdlx/JTP7X8uKlpjeOudnP/B/zxH4v+cAgH5e9ujnZZ+jzow/HuHog7wbEnZkWP52Vr/1fn90eP8eBCyci4Mnz0NXVy9f4/koOT3vhmTdu30D44f1zVHeqHkbjJkyE6eOHsIiv2k5lnf/fSB+6zNI+nzX1vX4Y/8uJCbEo7STK/oMHpnns//pa+XfyZqpE8bg3u2biI+Pg6GRMdwqV8WAIcNRysYWwJdvDgwAk31moWWb/J2UR6WAz5IP6tsTLq5lpDf/DVy9HOvX5Gz7lBmz0Sof266hlr9XZty8cQ39fu+Zo7x1m3YYOHgoWjb7cicicMNmVKue+3v2yC2f3+6b17/S7rbt4Dt7jvTmv/v37EZiYgIqV/0Jk6ZMy/fjurZ64c0G1VmUd8dYefzprRwnZD/HTlURlZ+dqsJMiE5VYZDfnarCKi87VcokvztVhVVedqqUSX52qgqzgu5UFRb53akqtIrn281O1Rcoa6eqmP7nEhERERER5Y3iefqLiIiIiIi+qpgmi38YM1VEREREREQKYKaKiIiIiIhkcEp1+TBTRUREREREpABmqoiIiIiISAYTVfJhpoqIiIiIiEgB7FQREREREREpgMP/iIiIiIhIBieqkA8zVURERERERApgpoqIiIiIiGQwUSUfZqqIiIiIiIgUwE4VERERERGRAjj8j4iIiIiIZKhw/J9cmKkiIiIiIiJSADNVREREREQkg4kq+TBTRUREREREpABmqoiIiIiISAZv/isfZqqIiIiIiIgUwE4VERERERGRAjj8j4iIiIiIZKhw9J9cmKkiIiIiIiJSADNVREREREQkgxNVyIeZKiIiIiIiIgWwU0VERERERKQADv8jIiIiIiIZHP0nH3aqiqjiOmNLcf0C0FBTFToEQZwc6SV0CIKwbjNf6BAEEX1svNAhCEIskQgdgjCKabOL63UsxbTZVISwU0VERERERDJEYE9XHrymioiIiIiISAHMVBERERERkYzieinJj2KmioiIiIiISAHsVBERERERESmAw/+IiIiIiEhGcZ2J8kcxU0VERERERKQAZqqIiIiIiEgGE1XyYaaKiIiIiIhIAexUERERERERKYDD/4iIiIiISIYKx//JhZkqIiIiIiIiBTBTRUREREREMpiokg8zVURERERERApgp4qIiIiIiEgBHP5HREREREQyRBz/JxdmqoiIiIiIiBTATBUREREREclgoko+zFQREREREREpgJkqIiIiIiKSwZv/yoeZKiIiIiIiIgWwU0VERERERKQADv8jIiIiIiIZHPwnH2aq8lC9evUwcuRIocMgIiIiIqICxEwV/ZBbN29gy6b1CAkJRnRUFBYtWY76DRsBADIzM7Fy2VJc+t9FvHr9Crq6uqhZqzaGj/SGubmFwJHnrVs3b2DThvUIDXmIqKgoLA5YgQb/vg5Fxd7dO7F/TxAi3rwGADg4OqFv/8Go7VkHAOA/czquX7uC6Kh30NLWhlulKhg6YjTsHUoLGbbC9u0Owv69/7W7dGkn/N5/kLTdr16GY9ni+bh35zYyMjPgXtsT3uMnw8TEVMiw5aaiIsKUHp74pWF5WBjrICImCVtPPsCc7Ze/WD9gRFP0a10FY1eewfL9NwEAthYGmPhrbdSrbCfdxs4zwZi74zIyP4gLsjkK+fi9Fvrv99rCT77XAGD65An44/BBmXXcPTyxYvW6Ao4072xctxbnz57G82f/QENDE26Vq2DYyNGwd3DIUVcikWDE4AG4/Nf/sGDJMtRroLzfdRvXf6Xd9v+1Ozo6CksXzcf1q1eQnJwMO3t7/N5vIBo2aiJg5Hlr1YplWLNquUyZvYMDDv5xQqCICk5xOH4rijf/lQ87VUokIyMDJUqUEDoMAEBqaipcXMqgbfuOGD1ymMyytLQ0hIaGoN+AwXBxdUVCQgLmz/XDyGGDsWPXPoEizh+pqSlwdXVFuw4d4T1iqNDh5AsLC0sMGe4NG1s7SCDB0cOHMGbkUGwN2gdHJ2eUKVseTVu0gqWlNRIS4hC4egWGDeqLg0dPQ1VVVejwf5i5hQWGDBuFUrZ2AICjfxzEuFFDsSVoH6ysS2LE4H5wcnHF8rUbAQBrVwZg7IghWLdlJ1RUlGcQwOgutdCvdRX0m3cUIc+j8ZOLJdaMbYGE5HSsPHhLpm4bDxfUKGuNN9GJMuWutsZQEYkwdMkJPH3zHuXtzbDCuzl0NNUxce35gmyOQtI++V4b89n32ke1PbzgM8tP+ryEeuH4Tv5Rt2/ewM9du6Fc+QrIysrCioDFGDqwD/YcOAItbW2Zuju2bS4y44Fu37yBn7t80u5l/7Z7/3/tnj55AhITE7Fw6QoYGhnhxLEjmDh2FLbs2IMyZcsJ3IK84+jkjDXrNkqfK/P3tjyKw/GbChY7VT8oOTkZgwYNwv79+6Gnp4cxY8bILE9PT8fkyZOxc+dOxMXFoUKFCpg7dy7q1asnrXPp0iVMnDgRN2/ehKmpKdq3bw9/f3/o6OgAAOzt7dGnTx+EhYXh4MGD6NChAzZt2lSArfw6T6868PSq88Vlenp6WB24QaZswqSp+PWXnxER8QZWVtYFEWKB8PSqC0+vukKHka+86taXeT542Ejs3xOEhw/uwdHJGe07dZYusy5ZEgOHjED3zu0Q8eY1StnYFnS4eebzdg8aOhIH9gTh4f37iHr3DhFvXmPLzn3Q0dUFAEzz9UfjurVw8/pV1KhVW4iQf0it8iVx5HIYTlx7CgAIj4xH5wblUK2MlUw9axNdLBraCK0n7MaB2T/LLDt94xlO33gmff48Ih4ue66hX+uqStWp8vCqA4+vfK99VKJECZiamhVQRPlv2epAmec+M/3RuJ4HQkOCUbVadWn540eh2L55E7YE7UGzBt9+jZTBslWftdvXH43reyA0NBhVf8pu9/17dzFh8jRUqOgGAOjbfxB2btuMR6HBRapTpaqqWqQ+07lVHI7fVLCU53RqITN27FhcvHgRhw4dwqlTp3DhwgXcvn1bunzo0KG4cuUKgoKCcP/+ffz8889o1qwZwsLCAABPnz5Fs2bN0LFjR9y/fx+7du3CpUuXMHSo7NmSBQsWoFKlSrhz5w6mTp1aoG3MS4mJiRCJRNDT0xc6FFJAVlYWTp04itTUFFR0q5xjeWpqCv44tB/WJUvBwtKy4APMJ1lZWTh94hhSU1NR0a0SMjIyIBKJoP5J5riEhgZUVFRw7+7tb2yp8Lka/Br1q9jDqaQRAKBiaXO4VyiFU9f/kdYRiYD1E1pj8e7rCH0Rnavt6utoIDYhNV9iFtLNm9fRsG5ttG/dDH4zfRAX917okPJUUlJ2FlLfwEBalpaaiikTxmLc5KlF9se3tN36/7XbrVJlnD55HPHxcRCLxTh5/CjS0zPwU7UaQoWZL8LDX6BxfU+0bNYQE8ePRkTEG6FDokJCRSTMQ1kxU/UDkpKSsH79emzbtg0NGzYEAGzevBmlSpUCAISHh2Pjxo0IDw+HtXV2VmbMmDE4ceIENm7cCD8/P/j7+6N79+7SiS2cnZ0REBCAunXrYtWqVdDU1AQANGjQAKNHj/5mPOnp6UhPT5cpyxKVgIaGRl42+4elp6cjYPECNGveErr/ntUn5fIk7G/06fELMjLSoaWljXmLlqG0o5N0+d5dO7BsyUKkpqbAzt4By1evh7qSD4sCstvdr+cvyMjIgJaWNuYuDICDoxMMjYyhqaWFFUsXYtDQkZBAghVLFyErKwsx0VFChy2XBUFXoK9TAvc29keWWAxVFRVM33gRQedCpHVGd62FD1lirDhwM1fbLG1tiEHtfsLENcqTpcqN2p5eaNCoCaxLlsSrly+xPGAxhg3qj03bgorEkCmxWIyF8/xRqUpVODm7SMsXzp8Dt0qVUa9+QwGjyz/SdleWbfec+YsxcZw3GtZxh6qaGjQ1NbFg8TLY/DskuCio6OYG31n+sLd3QHR0FFavXIHfe3TH3oN/QEeHx2siebBT9QOePn2KjIwM1KxZU1pmbGwMV1dXAMCDBw+QlZUFFxcXmfXS09NhYmICALh37x7u37+P7du3S5dLJBKIxWI8e/YMZcuWBQBUq1btu/H4+/tjxowZMmWTpkzD5Kk+P9S+vJSZmYlxY0ZCAmBSIYiHfoydvT227dqPpKQknDtzEjOmTcTqdVukHatmLVqjRq3aiI6OwvYtGzFp3CgEbtpRaDr2P8rO3h5bgvYj+d92+06bhFXrNsPB0Ql+8xZjnp8vdu/cBhUVFTRu1gKuZctBJFKuAQCd6pZF1wbl0cvvMEJeRMPN0RzzBzdCRHQStp9+iCrOFhjSvhpqD9qUq+1Zm+jisH8X7L/4GBuP3cvf4AtY0+YtpX87u7jC2cUVbVo0xs0b11GzlruAkeWNubN98fRJGNZt+u+4dPH8Ody8fhXbd+8XMLL8NdfPF0+fyrYbAFatCEBiYiJWrt0AQ0MjXDh/FhPGjcK6jdtkOl/K7NPhby6uZVChYiW0aFIfp04cR/uOP39jTSoOOFGFfNipygdJSUlQVVXFrVu3cpy9/JipSUpKwoABAzB8+PAc69va/ncdysfrq75l4sSJ8Pb2linLEgmfJcjMzMT4MaMQ8eYN1q7fxCyVElNXLyE9O1u2XHmEBD/Arh1bMXFqdmdeV08Punp6sLWzR0W3SmjoVQsXzp2R+RGqjD5td5ly5RES/BC7dm7FhCkzUNPdA/v+OIm49++hqqYKPT19tGjkhZJNmwsctXz8+tfHgqCr2HMhFAAQ/CwKthYGGPuLO7affgiPijYwN9TB3zsGS9dRU1XBnAENMLRDdZT5dZW03MpEFycWdsPVkNcYsvh4gbeloJWysYGhkRFehr9Q+k7VXL+ZuPTnRazduFVm6O7N61fx6uVL1PeoKVN/nPcIVK76E9Zu2FLQoeYpabs3bIWFxX/tfvUyHLuDtmPXvsNwdHIGkN3puHv7JnYH7SiyJwn19fVha2ePl+HhQodCpHTYqfoBjo6OUFdXx7Vr16QdoPfv3+Pvv/9G3bp1UaVKFWRlZeHdu3fw8vL64jaqVq2KkJAQODk5fXG5PDQ0NHJkBFIyJApvVxEfO1Th4S+wdv1mGBoaCRoP5S2xWIKMjIwvLpNIAAkkyPzKcmUmkUiQkZEpU2ZolP3Zvnn9Kt7HxsKrbgMhQvthWprqEEtkvy+yxGKo/DuwfceZhzh3+7nM8j/mdMGOMw+x5cQDaZn1vx2qO3+/Rf/5RyER9iuoQES+fYv4uDiYmZkLHcoPk0gkmOc/CxfOncGa9ZtR8t9h7B/17NMPbTt0kinr2rEtvMdOyDGZizL5XrvT0tIAIMdMnioqqpBIlOc2AfJKSUnGq5cvYdq6aF47R/Jhoko+7FT9AF1dXfTp0wdjx46FiYkJzM3NMXnyZOmXr4uLC7p3744ePXpg4cKFqFKlCqKionD27Fm4ubmhZcuWGD9+PGrVqoWhQ4eib9++0NHRQUhICE6fPo3ly5d/JwLhpaQky5zJev36FR4/CoW+gQFMTc0w1nsEHoWGYOmK1RCLsxD973UmBgYGReJam49SkpMR/unr8OoVHoWGwsDAAFbWRWOWwxUBi+Du4QVLS2ukpCTj5PEjuH3zOgJWBuL1q5c4ffI4arp7wMjICO8iI7F5YyA0NDRQ+zuzqBV2KwMWwd2jDiysrJCSnIxT/7Z7ycrsWcOOHNoPewdHGBoZ4cH9u1g83x9du/eA3Sf3uVEGx648wfhu7nj5LgEhz6NR2ckCwzvWwJYT9wEAsQlpiE1Ik1kn84MYkbHJCHsVCyC7Q3VyYTeEv0vAxDXnYGbw31Tcke+TC64xCvrW95qBgQHWrFqBho2awNTUFC9fvsTSRfNhY2sLdw9PAaNWzNzZvjhx/CgWLl0ObR0d6Xe1rq4eNDU1YWpq9sXJKSytrHJ0RJTJXL9/273ky+22t3eAja0t/GZOxwjvcTA0NMSFc2dx7eplLF626jtbVx6L5s9FnXr1YWVtjah377BqxTKoqqqgWYtWQoeW74rD8ZsKFjtVP2j+/PlISkpC69atoaenh9GjRyM+Pl66fOPGjZg1axZGjx6N169fw9TUFLVq1UKrVtlfVG5ubrh48SImT54MLy8vSCQSODo6okuXLkI1SS4hwQ/R7/ee0ucL588BALRu0w4DBw/FxQvnAABdO7WTWS9ww2ZUqy47jESZBQc/RN/ePaTPF8zzBwC0adseM/3mCBVWnoqNjcGMKRMQHR0FXV09OLm4IGBlIGq6eyDq3TvcvX0TQdu3ICEhAcYmJqhStRrWb94JY2MToUNXyPvYWMyYOgEx/7bb0dkFS1YGoua/06W/eP4cK5ctRkJ8PKysS6JXnwH45dee39lq4eO9/DSm9/LC0uFNYGaojYiYJKw/egd+W//K9TYa/OQAp1LGcCpljKe7ZGcw1WqkPP8HIcEP0f+T77VFn3yvTZzqg7C/H+PI4YNITEiEmbkZarl7YPDQEYXm/oE/Yu/uIADAgN9lP7vTZ/qhddv2QoRUIKTt7vNZu32z262mro6ly9dg2dJF8B4+GCkpKbCxtYXPTP8iNQ13ZORbTBznjbi4OBgZG6NKlZ+wZftuGBsbCx1avisOx28qWCKJpDgM0ih+hB7+JxQVZZ6LUwHpmUV3OMq3fD5srbiwbjNf6BAEEX1svNAhCKK4fs5RTJutpqpck93kleI61EyzEKc3euy4L8h+t3RzE2S/iiqe/7lERERERER5pBD3j4mIiIiISAjFdPDPD2OmioiIiIiISAHsVBERERERESmAw/+IiIiIiEiGqLjOHvKDmKkiIiIiIiJSADNVREREREQkg3kq+TBTRUREREREpABmqoiIiIiISIYKr6mSCzNVRERERERECmCnioiIiIiISAEc/kdERERERDI4+k8+P5Sp+t///odff/0V7u7ueP36NQBg69atuHTpUp4GR0REREREVNjJ3anat28fmjZtCi0tLdy5cwfp6ekAgPj4ePj5+eV5gEREREREVLBEIpEgD2Uld6dq1qxZWL16NQIDA6Guri4t9/DwwO3bt/M0OCIiIiIiosJO7k7V48ePUadOnRzlBgYGiIuLy4uYiIiIiIiIlIbcnSpLS0s8efIkR/mlS5dQunTpPAmKiIiIiIiEIxIJ81BWcneq+vXrhxEjRuDatWsQiUR48+YNtm/fjjFjxmDQoEH5ESMREREREVGhJfeU6hMmTIBYLEbDhg2RkpKCOnXqQENDA2PGjMGwYcPyI0YiIiIiIipAKsqcNhKA3J0qkUiEyZMnY+zYsXjy5AmSkpJQrlw56Orq5kd8REREREREhdoP3/y3RIkSKFeuXF7GQkREREREhQATVfKRu1NVv379b84hf+7cOYUCIiIiIiIiUiZyd6oqV64s8zwzMxN3797Fw4cP0bNnz7yKi4iIiIiISCnI3alavHjxF8t9fHyQlJSkcEBERERERCSsb41Mo5zknlL9a3799Vds2LAhrzZHRERERESkFH54oorPXblyBZqamnm1OVIQzy4UL1liidAhCCImKUPoEAQR8cdYoUMQRBnvw0KHIIiQBa2FDkEQH4rp95qaqtARCENSPN/uQi3PMi/FhNydqg4dOsg8l0gkiIiIwM2bNzF16tQ8C4yIiIiIiEgZyN2pMjAwkHmuoqICV1dX+Pr6okmTJnkWGBERERERkTKQq1OVlZWF3r17o2LFijAyMsqvmIiIiIiISEC8lEQ+cg2XVFVVRZMmTRAXF5dP4RARERERESkXua9Bq1ChAv7555/8iIWIiIiIiAoBFZEwD2Uld6dq1qxZGDNmDI4cOYKIiAgkJCTIPIiIiIiIiIqTXF9T5evri9GjR6NFixYAgDZt2siMtZRIJBCJRMjKysr7KImIiIiIqMAoc9ZICLnuVM2YMQMDBw7E+fPn8zMeIiIiIiIipZLrTpXk37uy1a1bN9+CISIiIiIiUjZyTanOqRWJiIiIiIo+/u6Xj1ydKhcXl+++wLGxsQoFREREREREpEzk6lTNmDEDBgYG+RULEREREREVApyoQj5ydaq6du0Kc3Pz/IqFiIiIiIhI6eT6PlUcV0lERERERJST3LP/ERERERFR0cZ8inxy3akSi8X5GQcREREREZFSkuuaKiIiIiIiKvpUmKqSS66vqSIiIiIiIqKcmKkiIiIiIiIZzLzIh68XERERERGRAtipIiIiIiIiUgCH/xERERERkQzOUyEfZqqIiIiIiIgUwE5VAahXrx5GjhwpdBhERERERLmiIhIJ8lBWHP5HeaJ5kwaIePM6R3nnrt0wacp0ASIqGLdu3sCmDesRGvIQUVFRWBywAg0aNhI6rHy1ZWMgVi1bjM6//IZRYyci4s1rdGjV+It1Z81dhIaNmxVwhD/m4d1b2Be0GU8fhyI2JgqTZy+Cu1cD6fLtG1bhf+dOIurdW6ipqcPJtRx69BsK13IVAQCREa8RtDkQ929fx/vYGBibmqF+kxbo/Fs/qKurC9Usue3bHYT9e4Lw5t//59KOTujTfxBqe9YBAMRERyFg8QJcv3oZKckpsLO3R6++A9CgURMhw5bb5RmNYWOinaN885/PMGX3fWioqWBqhwpo81NJlFBTwcXQd5i86z6iE9Olda2NtODXxQ21XUyRnJ6FvdfCMedwKLLEkoJsikI2rl+L82dP4/mzf6ChoQm3ylUwbORo2Ns7SOv079MDt2/ekFmvQ6cumDTVp4CjzTv7dgdh/94g6XGrdGkn/P7J5/zVy3AsWzwf9+7cRkZmBtxre8J7/GSYmJgKGXaeW7ViGdasWi5TZu/ggIN/nBAoooITGRmJpYvm469L/0NaWipsbO0wY6YfyleoKHRopKTYqaI8sT1oL8TiLOnzJ2FhGNivNxo3UY4f1D8qNTUFrq6uaNehI7xHDBU6nHwXEvwAB/fthpOzq7TM3MISR05dlKl3cP8e7NiyAe4eXgUd4g9LS0tFaUcXNG7RDn5TvHMsL2ljh4EjJ8DSuhTS09NwaPd2TB09CIE7D8PA0Bivwp9DIhFjyJgpsC5lixf/PMGy+b5IS01DnyE5t1dYmVtYYPDwUbCxtQMAHD18EGNHDsXWoH0o7eQMnykTkZSYiAVLVsDQyAgnjx/F5HHe2LRjN1zLlBM4+txrNf8iVD85I+pqrY+dw2rjyJ3sH9nTO1ZAg/IWGLj+BhJTMzGzsxvW9q2ODosvAQBURMDmQbXwLiEN7Rb+D+YGmljyW1V8yJJg7h+hgrTpR9y+eQM/d+mGcuUrICsrCyuWLcbQgX2wZ/8RaGn/1+ls3/FnDBg8TPpcU1NLiHDzjLmFBYYMG4VSHz/nfxzEuFFDsSVoH6ysS2LE4H5wcnHF8rUbAQBrVwZg7IghWLdlJ1RUitYgH0cnZ6xZt1H6XFVVVcBoCkZCfDx6/fYLqteoieWrA2FsZIQXL15AX99A6NBIibFTlceSk5MxaNAg7N+/H3p6ehgzZozM8vfv32PEiBH4448/kJ6ejrp16yIgIADOzs7SOoGBgfD19UVMTAyaNm0KLy8v+Pr6Ii4uroBbk3vGxsYyzzesWwsbG1tUq15DoIgKhqdXXXh61RU6jAKRkpIMn8njMGHqDGxat0ZarqqqChNTM5m6F8+fQYPGzaCtrVPQYf6warU8Ua2W51eX12vcQuZ536GjceroATx7GobKP9XETzU98FNND+lyS+tSePXyOY4d3KNUnSqvuvVlng8aNhL79wTh4YP7KO3kjAf37mDc5OkoX9ENAPB7v4HYuW0zHoWEKFWnKjYpQ+b54AoWeB6VhKthMdDTVEMXdzsM23QTl/+OBgCM3nYHF6Y2RBV7I9x5/h51yprD2VIPvyy7jOjEdIS8TsCCo48wsW05LDr2CJlZypGtWrYqUOa5j68/Gtf3QGhoMKr+VF1arqmpCdPP/s+VWY7P+dCROLAnCA/v30fUu3eIePMaW3bug46uLgBgmq8/GtethZvXr6JGrdpChJxvVFVVi9R7mxsbNwTC0tISvrP8pWUlS9kIGFHhpMQj8QRRtE63FAJjx47FxYsXcejQIZw6dQoXLlzA7du3pct79eqFmzdv4vDhw7hy5QokEglatGiBzMxMAMBff/2FgQMHYsSIEbh79y4aN26M2bNnC9WcH5KZmYFjRw6jbfuOEPE/sshYMGcWanvWRY2a3/5B8SgkGGGPH6F1u44FFFnBy8zMxInD2T+4HBxdvlovJSkJekp85jMrKwunThxDamoqKrhVAgBUrFQFZ04eR3x8HMRiMU6dOIaM9AxUrVb9O1srvNRVRehQvRR2XQkHAFS0NUQJNRVcehwlrfM0MgmvYlPwk4MRAOAnB2M8epMgMxzwYug76Gupw8VKv2AbkIeSkhIBIMcZ++PHjqBhXXd07tAay5cuQlpqqhDh5YusrCyc/vdzXtGtEjIyMiASiaBeooS0TgkNDaioqODe3dvf2JJyCg9/gcb1PdGyWUNMHD8aERFvhA4p3108fw7lylfAGO/hqF/HHV06tcO+vbuFDouUHDNVeSgpKQnr16/Htm3b0LBhQwDA5s2bUapUKQBAWFgYDh8+jL/++gu1a2f/MN2+fTtsbGxw8OBB/Pzzz1i2bBmaN28uzXC5uLjg8uXLOHLkiDCN+gHnzp5BYmIi2rRrL3QolEdOnzyGx49CsGHr9w86fxzaB3uH0nCrVKUAIitY1y//iXkzxiM9LQ1GJqaYuXA1DAyNvlj3zatw/LE/CL8PHlXAUSruSdjf6NvjF2RkZEBLSxtzFwWgtKMTAMBv3iJMHj8aTerWhqqaGjQ1NTF3UYB0uKAyaupmBX0tdey59hIAYK6vgfTMLCSkfpCpF52QDjN9TQCAmb6GTIcKAKIS0qXLlJFYLMbCef6oVLkqnJz/O1nQrHkrWFlZw8zcHGF/P8ayJQvx4vkzzF+8TMBoFfck7G/06/nJ53xhABwcnWBoZAxNLS2sWLoQg4aOhAQSrFi6CFlZWYiJjvr+hpVIRTc3+M7yh729A6Kjo7B65Qr83qM79h78Azo6ukKHl29evXqJPbt24tcevdG330A8fPgA8/xnQV1dHW3a8rfLRyo8Ly4Xdqry0NOnT5GRkYGaNWtKy4yNjeHqmn39SWhoKNTU1GSWm5iYwNXVFaGh2WPwHz9+jPbtZf+ha9So8c1OVXp6OtLTZQ/uYhUNaGgIc2A/uH8fPDzrwNzcQpD9U96KfBuBxfP9EbBy3Xc/U2lpaTh1/Ch69xtYQNEVLLcq1RGwfhcS4uNw8o/9mDt9HBau2QZDI9nhr9FRkZg+dgg86zVGs9bKl7Gzs7fH1l37kZSUhHNnTsJ32iSsWrcZpR2dsGZlAJISE7B8zXoYGBrhz/NnMXmcN9Zs3CrzQ1yZdK1th/Mh7xAZnyZ0KIKa6+eLp0/DsG7TdpnyDp06S/92cnaBqakZBvXvjVcvw1HKxragw8wzdvb22BK0H8mffc4dHJ3gN28x5vn5YvfObVBRUUHjZi3gWrYcRKKiNcDn0+HrLq5lUKFiJbRoUh+nThxH+44/CxhZ/hKLJShXvgKGj8weml2mbDk8DQvD3t1B7FTRDyta3w7FlL+/PwwMDGQe8+f6f3/FfPDmzWtcu3oZ7Tt2EmT/lPcehQbjfWwMenXvBM/qFeFZvSLu3LqBPUHb4Fm9IrKy/pug5PyZU0hLS0XzVm0FjDj/aGppwbqULcqUd8OICT5QUVXFqaMHZOrERL/DpBH9UKZCJQwdO1WgSBWjrl4CNrZ2KFuuPIYM94aziyt27diKVy/DsSdoB6b4zEL1mu5wcS2DvgOHoGz58ti7a4fQYf+QkkZa8HQ1Q9DlF9Kydwnp0FBXhb6W7HlHU30NRCVkd7yiEtJhqid7kuFjhupjxkqZzPWbiUt/XsTqwM2wsLD8Zt0K/15P9zI8vCBCyzcfP+dlypXH4OHecHJxxa6dWwEANd09sO+Pkzh+9hJOnP8LPrPmIupdJEr+O/KkqNLX14etnb3Sv7ffY2ZmBkdHR5kyh9Kli8XQR8o/7FTlIUdHR6irq+PatWvSsvfv3+Pvv/8GAJQtWxYfPnyQWR4TE4PHjx+jXLnsC7xdXV1x44bs1LWfP//cxIkTER8fL/MYO35iXjVLLocO7IexsQm86tQTZP+U96rVcMe23Yeweed+6aNsuQpo2rwVNu/cLzNT1B+H9sGrbgMYfZa5KaokEgkyM/6b8CA6KhITh/eFk2s5jJwwo8jMEiYWS5CZkYm0tOwOheizdqmoqEKsRNOIf6qzuy2iE9NxNjhSWvYgPA4ZH8TwcP3v4v3S5rooZayNW8/eAwBuPYtFGWt9mOj+d92NVxkzJKRmIuxtYsE1QEESiQRz/WbiwrkzWBW4MVedhsePHwEATM2K1uQGEokEGRmZMmWGRkbQ09PHzetX8T42Fl51G3xl7aIhJSUZr16+LHLv7ecqVamK58+fyZS9ePEcVlYlBYqocFLG+1TNmTMHIpFI5v6waWlpGDJkCExMTKCrq4uOHTsiMjJSZr3w8HC0bNkS2traMDc3x9ixY/HhwwfIg8P/8pCuri769OmDsWPHwsTEBObm5pg8ebL0h5WzszPatm2Lfv36Yc2aNdDT08OECRNQsmRJtG2bfWZ/2LBhqFOnDhYtWoTWrVvj3LlzOH78+DcnfNDQyDnULzXzK5XzkVgsxuGD+9G6bTuoqRWPj1ZKcjLCPzmj9/rVKzwKDYWBgQGsrK0FjCzv6OjowNHJWaZMU0sL+gaGMuUvw1/g7u2bWBiwuqBDzBOpKSmIeP3fexkZ8Rr/hD2Crr4B9PUNsWtrIGp61IOxiSkS4uNw5MAuxES/g2f97Ht0fexQmVta4/fBo5AQ9166LSMlurfNioBFqO1RBxaWVkhJScbJ40dw++Z1LF0ZCHt7B5SyscWcWT4YPmosDAwNcfH8WVy/ehkLA1YKHbrcRCKgcy1b7L32UubeUolpH7DrygtM61ABccmZSErLhO/Pbrj5TyzuPM9+X/8MfYewt4lY2vMnzD4YDHN9DYxtVRZb/nyGjA9ioZokt7l+vjhx/CgWLlkObR0dRP97zZCurh40NTXx6mU4Thw7Ag+vujAwMERY2GMsmj8HVX+qBmcX1+9svfBaGbAI7h51YGFlhZTkZJz693O+ZGX2bIhHDu2HvYMjDI2M8OD+XSye74+u3XvA7pP7dxUFi+bPRZ169WFlbY2od++wasUyqKqqoFmLVkKHlq9+/a0nev32C9atXY0mzZrj4YP72Ld3N6ZO9xU6NFLAjRs3sGbNGri5ucmUjxo1CkePHsWePXtgYGCAoUOHokOHDvjrr78AZE9W07JlS1haWuLy5cuIiIhAjx49oK6uDj8/v1zvv3j88i1A8+fPR1JSElq3bg09PT2MHj0a8fHx0uUbN27EiBEj0KpVK2RkZKBOnTo4duyY9OagHh4eWL16NWbMmIEpU6agadOmGDVqFJYvX/61XRYaV69cRkTEG7Rrr3zXkPyo4OCH6Nu7h/T5gnnZwy7btG2PmX5zhApLEEcO7Ye5hQVqunt8v3IhFPY4GJNG9JM+X7d8IQCgYbPWGDJ6Cl69eI6zJ0YjIT4O+vqGcC5THnOXbYCdQ/YEDndvXkXE65eIeP0SvTo2ldn2kT/vFlg7FPU+NhYzpkxAdHQUdHX14OTigqUrA1HTPXtyncXLV2NFwGKMHjEEqSkpKGVri2kz/eGhhLcW8HI1Qyljbey6+iLHshn7HkIsAdb2rS5z89+PxBKg16qr8OtaCYdGeyElPQt7r7/EgqOPCrIJCtu7OwgAMKBPT5ny6b5+aN22PdTU1XH92hXs3L4FqampsLC0RINGjdGn3yAhws0z72NjMWPqBMT8+zl3dHbBkpWBqPnvdOkvnj/HymWLkRAfDyvrkujVZwB++bXnd7aqfCIj32LiOG/ExcXByNgYVar8hC3bd+e4TUpRU6GiGxYtWY6ApYuwdvUKlCxZCmPHT0LLVm2EDq1QUaYJnJOSktC9e3cEBgZi1qxZ0vL4+HisX78eO3bsQIMG2ZnmjRs3omzZsrh69Spq1aqFU6dOISQkBGfOnIGFhQUqV66MmTNnYvz48fDx8UGJT2YC/RaRRCJRzjEbxUi/fv3w6NEj/O9//8v1OkJkqgoDZfoCyEsp6Vnfr1QExXx2r6Hiwkw/d1/wRU3FscozC2peClnQWugQBPFBSYeUKkpTvejffJf+o6UudARfN/PME0H2O7WRk9zr9OzZE8bGxli8eDHq1auHypUrY8mSJTh37hwaNmyI9+/fw9DQUFrfzs4OI0eOxKhRozBt2jQcPnwYd+/elS5/9uwZSpcujdu3b6NKldzNZsxMVSG0YMECNG7cGDo6Ojh+/Dg2b96MlSuVb2gNERERESknoaZU/9Ks1l+61OWjoKAg3L59+4tzELx9+xYlSpSQ6VABgIWFBd6+fSutY2FhkWP5x2W5VTSuoi5irl+/jsaNG6NixYr4f3v3HdfU1YcB/AnIXjJEEFkKoggoSlXErcUtinaorbhoXThwtyqKA/fegop7r7otKu4tLhDFhQMVcDJkhLx/8JqaolYMyZXk+fbDp+TkJnmuSUjO/Z17zuLFizF37lz07NlT6FhERERERAr1sVmtw8I+Pqv1w4cPMWDAAKxduxa6urpKTiqLlapv0KZNXNWbiIiIiNTPyJEjERwcLNP2qSrVxYsX8fz5c1SrVk3aJhaLcezYMcyfPx8HDhxAdnY2Xr16JVOtevbsGays8pePsLKywrlz52Tu9/3sgO+3+RKsVBERERERkQyRQP/p6OjA2NhY5udTnarGjRvj2rVriImJkf54eXmhc+fO0t+1tLQQFRUlvU18fDwSExPh7e0NAPD29sa1a9fw/Plz6TaHDh2CsbGxdMmjL8FKFRERERERFTtGRkZwc3OTaTMwMIC5ubm0vUePHggODoaZmRmMjY0RFBQEb29v1KpVCwDg6+sLV1dX/Prrr5g6dSqePn2KUaNGoW/fvp/szH0MO1VERERERCRDqIkqitqsWbOgoaGB9u3bIysrC02bNpWZAE5TUxO7d+9G79694e3tDQMDAwQEBCA0tHDrlnFKdRXFKdXVC6dUVy+cUl29cEp19cIp1dXLtzyl+uTDdwR53BGNygvyuPLiOVVERERERERy4PA/IiIiIiKSoSrD/5SFlSoiIiIiIiI5sFJFREREREQyROp6ovpXYqWKiIiIiIhIDqxUERERERGRDJ5TVTisVBEREREREcmBnSoiIiIiIiI5cPgfERERERHJ4DwVhcNKFRERERERkRxYqSIiIiIiIhkaLFUVCitVREREREREcmCnioiIiIiISA4c/kdERERERDK4TlXhsFJFREREREQkB1aqiIiIiIhIBuepKBxWqoiIiIiIiOTAShUREREREcnQAEtVhcFKFRERERERkRxYqSJSAVqa6nk0ydJYR+gIgsiTSISOIIj4mW2EjiAI8ybjhI4giBdRY4WOQErE83eouGOnioiIiIiIZLCjWzgc/kdERERERCQHVqqIiIiIiEgGF/8tHFaqiIiIiIiI5MBOFRERERERkRw4/I+IiIiIiGRocKaKQmGlioiIiIiISA6sVBERERERkQwWqgqHlSoiIiIiIiI5sFJFREREREQyeE5V4bBSRUREREREJAd2qoiIiIiIiOTA4X9ERERERCSDo/8Kh5UqIiIiIiIiObBSRUREREREMlh5KRz+exEREREREcmBnSoiIiIiIiI5cPgfERERERHJEHGmikJhpYqIiIiIiEgOrFQREREREZEM1qkKh5UqIiIiIiIiObBSRUREREREMjR4TlWhsFJFREREREQkB3aqiohEIsFvv/0GMzMziEQixMTECB2JiIiIiIiUgMP/isj+/fuxcuVKHD16FOXKlYOFhYXQkZSquW8jJD15XKD9x5874Y9RIQIkUryIZUsQdegg7t27Cx1dXVSt6omBwUPg4FhO6GhFakXEUhyJOoT79+5CR0cXHlU9ETRwMBwcHKXbpKQkY87MaTh35jTS09Nh7+CA7oG90LiJr4DJ5bNl03ps27xB+rp2LO+Enr/1Qe069WS2k0gkGNjvd5w+eRxTZ85Dg0ZNhIirMKuWL8PCebPwU6dfMWjoSABA754BuHzxvMx27dr/iOGjxgqQsOhcvHAeq1ZGIDb2BlKSkzFz9nw0bJz/fObk5GDhvDk4cTwajx4/gqGhIWrWqo3+A4NhaVla4ORfTkNDhFHdGqCjrwdKmxkiKeUtVu+LweRVx2S2c7G3wIRe36NuFXuU0NTAzfvJ6Dh6Ex4+fw0A0NEugcl9ffFDIzfoaJXA3+cTMGDmHjx/mS7AXhUNdfwcW7RgHpYsmi/T5uDoiB1/7RcokXJtWLcWkSsikJKSjAouFTHij9Fw9/AQOtY3g4P/CoedqiJy584dWFtbo3bt2h+9Pjs7G9ra2kpOpTxrN2xBXp5Yejnh9m30CuyG732bCZhKsS6cP4efOnZGZXd3iHPFmDdnJnoF9sC2XXugr68vdLwic+nCefzwUye4VnaDWCzGgnmz0K9XD2zetht6/9/PkD9H4O3bt5gxZwFKmppi/97dGDl0EFat24yKlVwF3oOvU7q0Ffr2D4atnT0kkGDPrp0YMrAfVm/YivJOztLt1q+JVNkPntgb17B96yY4ObsUuM7P/wf81ruf9LKurp4yoylEZmYmKlSoCL927TF4YJDMde/evUNcXCwCf++DCi4uePPmDaZNmYSBQX2wbuNWgRIX3uBOdRDo9x0CJ21H7P1kVHcpgyUj/fAmPQsLt54FADiWMUXU/O6I3HMZE5YfwZv0LLg6WuJddq70fqb2a4rm3hXQOWQz3qS9w6yBLbBhwk9o1He5ULsmN3X8HAOA8k7OWBK+QnpZU1NTwDTKs3/fXkyfGoZRIePg7l4Fa1dHovfvPbBz936Ym5sLHY+KIXaqikDXrl0RGRkJIH+hNHt7ezg4OMDNzQ0lSpTAmjVr4O7ujiNHjiA6OhpDhw7FlStXYGZmhoCAAEyYMAElSuQ/FW/fvkWvXr2wY8cOGBsbY9iwYdi5cyeqVq2K2bNnC7iXn2dmZiZzeXn4Utja2sHruxoCJVK8RUsjZC6HTpyMhnW9ERd7A9W9vhMoVdGbt2iZzOWxoWH4vqEP4uJuoFr1/P28eiUGI/4cAzf3/CN8PX/rjfVrInEz7kax7VTVrd9Q5nKfoIHYtnkDrl+7Iu1U3boZh3WrV2Llus1o0aTex+6m2MrISEfIH8MwcvQ4rAhfUuB6XV1dmFuUEiCZ4tSpWw916n78eTQyMsLiZbIdhhF/jMYvHX9AUtITWFuXUUZEudVys8Xukzex/8xtAEDi01f4sYkbvCrZSLcZF9gYB87cxp+LD0nb7j15Kf3d2EAHXVtWQ9fQrYi+dA8A8Nvknbiyph9quJbFudhHStqboqWOn2NAfifKQsXey19ideQK+Hf4EW3btQcAjAoZh2PHjmLHtq3oEfibwOm+DZynonB4TlURmDNnDkJDQ1G2bFkkJSXh/Pn8YTGRkZHQ1tbGyZMnsXjxYjx+/BgtWrTAd999hytXrmDRokWIiIjAhAkTpPcVHByMkydPYteuXTh06BCOHz+OS5cuCbVrXyUnJxt7d++CX7v2arUad9rbtwAAYxMTgZMoVlra//fT+J/99KhSFYcO7MPr16+Ql5eHA/v2ICsrG9W9VOPLiFgsxsH9e5CZmQF3j6oAgHeZmRj9x1AMHTlaJb+QTA+bAJ+69VGj1ser7wf27kbThrXRqUMbLJw7E+8yM5WcUHhv376FSCSCkZGx0FG+2JnrD9GwWjk4lc0/Eu9evjS83e1w8Gx+J0skEqGZtzNuP0zFrum/4MHOoTi2uCda16kovQ9PlzLQ1tLE4Yt3pW23ElOQ+PQValYuq9wdUhB1+hxLTHyA7xvWQctmjTFy+GAkJT0ROpLC5WRnIy72Bmp5//P3TUNDA7Vq1cbVK5cFTEbFGStVRcDExARGRkbQ1NSElZWVtN3Z2RlTp06VXv7zzz9ha2uL+fPnQyQSoWLFinjy5AmGDx+OMWPGID09HZGRkVi3bh0aN24MAFixYgXKlCkeR0DfOxz1N96+fYs2bdsJHUVp8vLyMHXKJFT1rAZn5wpCx1GYvLw8zJgahipVq8Hpg/2cPG0WRg4LRuN63tAsUQK6urqYPmsebO3sBUwrv4Tbt9CjS0dkZ2dBT08fU2fOQ7nyTgCAWdMnw71KVdRv2FjglEXv0P69iL8Zi+VrNn30+qbNW8LKugwsSlki4XY8FsyZiQcP7mPKjLlKTiqcrKwszJ01Hc2at4ShoaHQcb7Y9LUnYGyggytr+kGclwdNDQ2ELIvChkPXAACWpgYw0tfBkM51MC78MEYt/hu+NZ2wYcJPaDpgJU5ceQArM0NkZefiddo7mft+/jIdpc2Lz7/F56jL55i7hwdCJ4TBwcERKSnJWLxwAbp36YwtO/6CgYFqPJcf8/LVS4jF4gLD/MzNzXHv3t1P3Iro89ipUqDq1avLXI6Li4O3t7fMUS8fHx+kpaXh0aNHePnyJXJyclCjxj9H901MTODiUvB8hg9lZWUhKytLpi1PQwc6OjpFsBeFt2PbVvjUqVesTt6W16QJ43Dn9m2sXL1O6CgKNWVSKO7cuY3wlWtl2hctmIu3b99i4dLlKFnSFEePRGHEsEEIX7FGpvNV3Ng7OGDNxm1IS0vD4b8PYNyYkVgcvgqPHibiwrkzWL1xm9ARi9yzp0mYOS0McxeFf/JvSNv2P0p/d3KuAAuLUuj3e3c8epiIsrZ2yooqmJycHAwbMhASAH+MHit0nELp0LAyfv7eHV1DtyL2/nN4OFlhWlAzJKW+xdr9V6Tr0uw+EY95m88AAK4mPEVNN1sE+nnhxJUHQsZXGnX5HKtTt7709wouFeHmXgUtfBvi4P59aNf+BwGT0bdA1au0RY2dKgUyMDBQyuOEhYVh3LhxMm1/jArBqDFjlfL4H3ry5DHOnjmFGbPnKf2xhTJpQiiORR/F8sg1KP1BpVLVTJk0HieORWPp8tUoXfqf/Xz0MBGbNqzFxq27pOcaVXCpiJhLF7Bpw7pi96XzQ1pa2tJqWyXXyoi9cQ0b162Gjo4OHj16iMZ1a8psP2LIAFT1rI7FEauEiFskbsbdwMsXqejaqYO0TSwWI+bSBWzZuA7HzsYUOJG98v/PpVOHTlVOTg6GDxmEpCdPsDRiZbGqUgHApD7fY/raE9h8+DoA4Mbd57CzKomhneti7f4rSHmdgZxcMeIeJMvcLv5BMmq75z+3T1+kQUe7BEwMdWWqVZamBniWmqa8nVEQdfwce8/Y2Bh29g54mJgodBSFMi1pCk1NTaSmpsq0p6amqt3szVR02KlSokqVKmHr1q2QSCTS3v/JkydhZGSEsmXLwtTUFFpaWjh//jzs7PI/vF6/fo1bt26hXr1PnwQ/cuRIBAcHy7TlaQhTpdq5fRvMzMxRt14DQR5fmSQSCcImjsfhqEOIWLkaZcvaCh1JISQSCaaGTcDRw39jSUQkbMrKnjPx7l3+lyoNDdlTNDU0NCGR5CktpzLk5UmQnZ2NwN794OffQea6jh38MGjICNT51wQXxY1XDW+s3bxTpm1CyJ+wd3TEr117fnRmsFvxNwFA5Sau+Lf3HarExAdYGhGJkiVNhY5UaHo6WsjLk8i0icV50NDI/0zKyRXj4s0nqGArOyzKuaw5Ep/mT6d+Of4JsnPEaFjdETui4/KvtzWHnVVJnL1RPCep+JA6fY79W0ZGOh49fAiL1qr9XtbS1kYl18o4e+Y0Gv1/2YS8vDycPXsaP3f8ReB03w5OvFA47FQpUZ8+fTB79mwEBQWhX79+iI+PR0hICIKDg6GhoQEjIyMEBARg6NChMDMzg6WlJUJCQqChofHZEqyOTsGhfpk5it6bgvLy8rBrxza09msrnc1QlU0aPw779u7G7HkLYaBvgJTk/CO7hkZG0NXVFThd0ZkyKRT79+3BjNnzoW9ggJSU/++nYf5+Ojg4wtbODpPGh2BA8DCULFkSRw9H4eyZU5g1b5HA6b/egrkz4e1TF1ZWZZCRkY4D+3bj0oVzmLtwGSwsSn10corSVtawsSneJ+obGBjITBkPALp6ejAxKYnyTs549DARB/ftQe069WBcsiQSbsVjzowp8KzmBecKnx+q/K3LyEiXOUL/+PEjxN+Mg7GJCSwsSmFo8ADcjIvFnAWLkZcnlr4XTExMoKVVPJbM2HvqFob/Wg8Pn71G7P1kVHW2Qv+fvLFq7z8n589afxKrx/6AE1ceIPryffjWdEKL2i5oOmAlAOBNehZW7rmEKX2b4sWbTLxNz8LMgS1w5vrDYjvz33vq9jk2c9oU1GvQENZlyiD5+XMsWjAPmpoaaNaildDRFO7XgG4Y/cdwVK7sBjd3D6xZHYnMzEy0becvdDQqplT/L8Y3xMbGBnv37sXQoUNRpUoVmJmZoUePHhg1apR0m5kzZ6JXr15o1aqVdEr1hw8fFosv6WdOn0JS0hPp9KSqbtPG9QCAHl1/lWkPnRAGPxX6o7xl0wYAwO89AmTaQ0InobVfO5TQ0sKc+Uswb85MBPfvg4yMDNja2WHs+DCZ8frFzYsXqRg3agRSUpJhaGgEpwoVMHfhMtT09hE6mqC0tLRw/uxpbFi3Cu8yM2FZ2goNGn+P7j17CR1NbrE3riOw+z+v8xnTJgMAWrdpi159+iH66GEAwM8d2srcbtnySHh9JzsU9FsVPHsvQno2wpzglihlaoCklLeI2HURk1ZGS7fZdfwmgmbsxtBf6mDGgOa4lZiKjmM24tS1fzqcw+YfQJ5EgvXjf4KOlib+Pn8HA2buEWKXipS6fY49e/YUI4cF49WrVzA1M4OnZ3WsWrupwPTyqqhZ8xZ4+eIFFs6fi5SUZLhUrISFS8JhzuF/UjynqnBEEolE8t+bkVDS09NhY2ODGTNmoEePHl98OyEqVd8CdX3/5+Sq1jC7L5Wnpn+98tT0z7ZOCfUcjGLeZNx/b6SCXkSNFToCKZG6fn7rfsPljU0xwkyv/2PV4jXr9Xvf8FOpni5fvoybN2+iRo0aeP36NUJDQwEAfn5+AicjIiIiIqKPYafqGzR9+nTEx8dDW1sb1atXx/HjxzkbDREREREpjZoWD78aO1XfGE9PT1y8eFHoGERERERE9IXYqSIiIiIiIhmcqKJw1POsXyIiIiIioiLCThUREREREZEcOPyPiIiIiIhksPJSOPz3IiIiIiIikgMrVUREREREJIMTVRQOK1VERERERERyYKeKiIiIiIhIDhz+R0REREREMjj4r3BYqSIiIiIiIpIDK1VERERERCSD81QUDitVREREREREcmClioiIiIiIZGjwrKpCYaWKiIiIiIhIDuxUERERERERyYHD/4iIiIiISAYnqigcVqqIiIiIiIjkwEoVERERERHJEHGiikJhpYqIiIiIiEgO7FQRERERERHJgcP/iIiIiIhIBieqKBxWqoiIiIiIiOTAShURFVsaanpYKDdXInQEQYgl6rnfL6LGCh1BEGa+44WOIIiXh0YLHUEQeWr6/sY3PBmExjec7Vukpl9JiIiIiIiIigYrVUREREREJIPnVBUOK1VERERERERyYKeKiIiIiIhIDhz+R0REREREMjj8r3BYqSIiIiIiIpIDK1VERERERCRDxCnVC4WVKiIiIiIiIjmwU0VERERERCQHDv8jIiIiIiIZGhz9VyisVBEREREREcmBlSoiIiIiIpLBiSoKh5UqIiIiIiIiObBSRUREREREMrj4b+GwUkVERERERCQHdqqIiIiIiIjkwOF/REREREQkgxNVFA4rVURERERERHJgpYqIiIiIiGRw8d/CYaWKiIiIiIhIDuxUERERERERyYHD/4iIiIiISAYnqigcVqqIiIiIiIjkwE7VZzRo0AADBw4UOgYRERERkVKJRML8FFcc/kdForlvIyQ9eVyg/cefO+GPUSECJFKOixfOY+XyCMTFXkdycjJmzV2ARo2bCB2rSK2IWIojUYdw/95d6OjowqOqJ4IGDoaDg6N0m996dMGlC+dlbuff4Sf8MXqsktMWnRXhn9hvR8cC20okEgzo8ztOnTyO6bPnoUGj4vsaCF+8AMuXLpRps3NwxIZtuwEAO7ZuwqH9exF/MxYZ6ek4EH0aRkbGQkQtUl/yfE8MDcG5M6eRkvwcevr68Kjiif6DBsPBsZyAyYvWogXzsGTRfJk2B0dH7Phrv0CJioaGhgijAuqj4/duKG1miKSUt1h94Comrz4u3Wbp8Db4tVkVmdsdPJcAv+HrpZeHda6D5rWc4OFkhexcMaxbT1PaPijCpg3rsGnjejx5nP/5Xd7JGb/37oM6desLnKzoXbxwHqtWRCA29gZSkpMxc858NPzg81oikWDRgnnYvmUz3r59gyqe1fDH6BDY2zsIF5qKFXaqlCg7Oxva2tpCx1CItRu2IC9PLL2ccPs2egV2w/e+zQRMpXiZmRlwcXFBW//2CB7QT+g4CnHpwnn88FMnuFZ2g1gsxoJ5s9CvVw9s3rYbevr60u3atf8Bv/cJkl7W1dUTIm6RuXThPH74+YP9nvv//d4uu98AsG5NJFRp6LljeSfMXRQuvayp+c9HRda7d6hZ2wc1a/tg8bzZAqRTjC95viu5VkbzFq1gZV0Gb16/wpJFC9D3957Yte8QNDU1Bd6DolPeyRlLwldIL6vCvg3uWBuBftUROHknYu8lo7pLGSwZ3hpv0t9h4bZ/DggdOJuA36fskl7OyhHL3I+2lia2RcfhbOwjBLTwVFp+RbEsbYUBg4bAzt4eEokEf+3cgQH9+mLj1u1wcnIWOl6RyszMRAWXivBr1x6DBwYVuH7l8nCsX7saoRMnw8amLBbOn4O+v/fE1p17oKOjI0Bi4anQx5pScPjff8jLy8OwYcNgZmYGKysrjB07VnpdYmIi/Pz8YGhoCGNjY/z444949uyZ9PqxY8eiatWqCA8Ph6OjI3R1dQEAW7Zsgbu7O/T09GBubo4mTZogPT1dervw8HBUqlQJurq6qFixIhYulD1q/C0yMzODhUUp6c+x6COwtbWD13c1hI6mUHXq1ke/AYPQuMn3QkdRmHmLlqG1XzuUd3JGBZeKGBsahqdJSYiLuyGzna6ursxrwNDQUKDERWPe4n/t9/j/73es7H7H34zD2siVGBM6UaCkRa+EpibMLUpJf0qamkqv+6lzF3TpFgg39yqfuYfi50ueb/8OP6Ka13coY2ODiq6V0SdoAJ49Tfpolb4409TUlHkvm5qaCR1JbrUql8Xuk/HYfyYBic9eY/uxOERduAuvijYy22XniPHsZbr051XaO5nrJ6yMxrwtZ3H97nNlxleYBg0boW69+rC3d4CDgyOCBgyCvr4+rl6JETpakatTtx769h+IRh/5vJZIJFi3ehUCf+uFho0ao4KLC8ZPmoLk589xJOpvAdJSccRO1X+IjIyEgYEBzp49i6lTpyI0NBSHDh1CXl4e/Pz88OLFC0RHR+PQoUO4e/cufvrpJ5nbJyQkYOvWrdi2bRtiYmKQlJSEjh07onv37oiLi8PRo0fh7+8PiUQCAFi7di3GjBmDiRMnIi4uDpMmTcLo0aMRGRkpxO5/lZycbOzdvQt+7dpDVJwHx9JHpaW9BQAYG5vItO/buxuN63vjR//WmD9nJt5lZgoRT2Gk+23yz36/y8zEqBFDMezP0bCwKCVUtCL3MDERbXwboEPrphj75zA8TXoidCSl+9jz/aHMjAzs2rENNjZlUdrKSpnRFC4x8QG+b1gHLZs1xsjhg5GkAs//mRuP0LCaI5zK5ncQ3cuXhrebLQ6eS5DZrm5VezzYFowrkX0wZ2BzmBkX74p7YYjFYuzbuweZmRmoUqX4V+EK4/GjR0hJSUZN79rSNiMjI7h5eKhkB5MUg8P//oOHhwdCQvLPCXJ2dsb8+fMRFRUFALh27Rru3bsHW1tbAMCqVatQuXJlnD9/Ht999x2A/CF/q1atQqlS+V+4Ll26hNzcXPj7+8Pe3h4A4O7uLn28kJAQzJgxA/7+/gAAR0dHxMbGYsmSJQgICFDOTsvpcNTfePv2Ldq0bSd0FCpieXl5mDE1DFWqVoOTcwVpe7PmrWBtXQalLC1x+1Y85s2egQf372HarHkCpi060v32lN3vGdMmw6NKVTRo2FjAdEWrsrsHRo2bCDt7B6SkJGP50kXo3aML1mzeCQMDA6HjKcWnnm8A2LxhHebOmoHMzAzYOzhiwdIIaGmpzrBudw8PhE4Ig4ODI1JSkrF44QJ079IZW3b8BQOD4lt9nr7uJIz1dXAlsg/EeXnQ1NBASMQRbPj7unSbQ+fuYOfxm7if9ArlyphiXM+G2Dm5I+r3W4G8PImA6RXr9q14/NrpZ2RnZ0FfXx+z5i5AeScnoWMpVUpKMgDAzNxcpt3c3AKpKSlCRPomaPDAeKGwU/UfPDw8ZC5bW1vj+fPniIuLg62trbRDBQCurq4oWbIk4uLipJ0qe3t7aYcKAKpUqYLGjRvD3d0dTZs2ha+vLzp06ABTU1Okp6fjzp076NGjBwIDA6W3yc3NhcknjpYCQFZWFrKysmTa8jR0BBsDvGPbVvjUqQdLy9KCPD4pzpRJobhz5zbCV66Vaffv8KP0dyfnCrCwKIXev3XDo4eJKGtrp+yYRW7KxFDcSZDd7+gjh3Hh3Bms3bRNwGRFz9unrvR3pwouqOzuAf+W3+Pwof1o3ba9gMmU52PP93vNW7ZGTe/aSElOxurIFRgxZBAiVq1TmXMuPpygoIJLRbi5V0EL34Y4uH8f2rX/QcBk8unQoDJ+buKGrhO2I/Z+MjycSmNaX18kpb7F2gNXAQCbj/wz1PPGvee4dvcZ4tYFoV5Vexy9dF+g5Irn4OCITVt3IC3tLQ4dPIDRfwxHxMo1atexIpIXh//9By0tLZnLIpEIeXl5X3z7fx/Z1dTUxKFDh7Bv3z64urpi3rx5cHFxwb1795CWlgYAWLZsGWJiYqQ/169fx5kzZz75GGFhYTAxMZH5mTYlrBB7WXSePHmMs2dOoV37DoI8PinOlEnjceJYNBYvi0Tp0p8f7uTmnn8w4mFiojKiKZR0v8MjZYZ5XTh3Bo8ePkRDn5qo6emGmp5uAIBhwQPwW/cuQsUtckZGxrC1s8ejh8X/ufwSn3q+3zM0MoKdvQOqeX2HqTNn4/69eyp9zoWxsTHs7B2K/Xt5Uq/GmL7+FDYfuYEb955j/aFrmLflLIZ28vnkbe4nvULyq3SUtyn+55R9jpa2Nuzs7eFa2Q0DBg1GBZeKWLtmldCxlOr98O0Xqaky7ampKTC3sBAi0jdBJNBPccVK1VeqVKkSHj58iIcPH0qrVbGxsXj16hVcXV0/e1uRSAQfHx/4+PhgzJgxsLe3x/bt2xEcHIwyZcrg7t276Ny58xdnGTlyJIKDg2Xa8jSEOWq6c/s2mJmZo269BoI8PhU9iUSCqWETcPTw31gSEQmbsmX/8zbx8TcBABaliu95Rv+13wE9AuHnL3vw4Of2fggeOgJ16zdUZlSFyshIx+NHD9GsZRuhoyjU17zOJRJAAglycrKVkFAYGRnpePTwISxaF9/3MgDo6WgVGMInzpN8dniTjYURzI318TQ1TdHxvil5eXnIyVbd1/TH2JQtCwuLUjh75jRcKlYCAKSlpeH61av44ceOAqej4oKdqq/UpEkTuLu7o3Pnzpg9ezZyc3PRp08f1K9fH15eXp+83dmzZxEVFQVfX19YWlri7NmzSE5ORqVK+W/icePGoX///jAxMUGzZs2QlZWFCxcu4OXLlwU6Tu/p6BQc6peZU3T7+qXy8vKwa8c2tPZrixIl1OOllZGejsQPjuA+fvQIN+PiYGJiAusyZQRMVnSmTArF/n17MGP2fOgbGEjHnhsaGkFXVxePHiZi/97d8KlbHyYmJXH7djxmTpuMatW94FzBReD0X2/KxP/v95yP7/f7mdH+zcra+ou+kH+r5s2ahjr1GsDKugxSkp8jfPECaGpo4vtmLQAAqSnJSE1NkVau7ty+DX0DfVhZWcPYpKSAyeXzX8/3o0cPcWj/PtSq7QNTU1M8e/YMKyOWQVdHBz516gmcvujMnDYF9Ro0hHWZMkh+/hyLFsyDpqYGmrVoJXQ0uew9fRvDf6mDh89fI/ZeMqo6W6H/DzWxat8VAICBrhb+DKiHHcdu4umLNJSzMcXE35vgzuMXOHT+jvR+bC2NYWqkB9vSJtDUEMGjfP4w9zuPXyD9nQAfvHKaM2sG6tStBytra2Skp2Pvnt24cP4cFi2NEDpakcvISJepuD5+/AjxN+NgbGICa+sy6PRrF4QvXQw7ewfY2Nhg4fy5KGVpKbOWFdHnqMc3XwUQiUTYuXMngoKCUK9ePWhoaKBZs2aYN+/zJ+YbGxvj2LFjmD17Nt68eQN7e3vMmDEDzZs3BwD07NkT+vr6mDZtGoYOHQoDAwO4u7tj4MCBStgr+Zw5fQpJSU/Qtp16nHcBADduXEfPbv8M9Zo+NX/YZRu/dhg/abJQsYrUlk0bAAC/95CdKCUkdBJa+7VDCS0tnDt7GuvXrkJmZiZKW1mhUZPv0SOwtxBxi4x0v7v/a7/H5++3qnr+7BlCRg7F69evUNLUDB5Vq2Fp5DrptNrbt2ySWRy4T8/81/+fYyegZZvi++/yX8+3jrYOLl+6gPVrVuHNmzcwNzeHZ3UvRKxaX+Dk9uLs2bOnGDksGK9evYKpmRk8Patj1dpNMDMr3kPggufuR0j3BpgzoDlKmRogKeUtIv66hEmrjgHIr1q5lS+Nzk2roKShLpJS3+LvC3cRuvwosj9Yq2p0twYyCwSfDf8NAOA7cBWOX3mg1H0qCi9epGLUyOFITn4OQyMjVKjggkVLI+Bd+9PDIour2OvXEfjB+3vG1PzP6NZ+bRE6cTK6du+JzMxMTBg7Bm/fvkHVatWxYPEylTlf8qsU57F4AhBJ3s/lTSpFiErVt0BdJ6rJyf3y8/xUipo+39lq+nxrl1DP04BLaKjnfpv5jhc6giBeHhotdARB5Knp11F9rW/3g+zMnVeCPG6t8iUFeVx5sVJFREREREQyROp65PIrqefhLyIiIiIioiLCShUREREREclQ11MqvhYrVURERERERHJgp4qIiIiIiEgOHP5HREREREQyOPqvcFipIiIiIiIikgMrVUREREREJIulqkJhpYqIiIiIiEgO7FQREREREVGxExYWhu+++w5GRkawtLRE27ZtER8fL7PNu3fv0LdvX5ibm8PQ0BDt27fHs2fPZLZJTExEy5Ytoa+vD0tLSwwdOhS5ubmFysJOFRERERERyRAJ9F9hREdHo2/fvjhz5gwOHTqEnJwc+Pr6Ij09XbrNoEGD8Ndff2Hz5s2Ijo7GkydP4O/vL71eLBajZcuWyM7OxqlTpxAZGYmVK1dizJgxhfv3kkgkkkLdgoqFzByhEwhDXReqy8nNEzqCMNT0+c5W0+dbu4R6HgcsoaGe+23mO17oCIJ4eWi00BEEkaemX0f1tb7dD7IL994I8rhejsZffdvk5GRYWloiOjoa9erVw+vXr1GqVCmsW7cOHTp0AADcvHkTlSpVwunTp1GrVi3s27cPrVq1wpMnT1C6dGkAwOLFizF8+HAkJydDW1v7ix5bPf9SExERERHRJ4lEwvxkZWXhzZs3Mj9ZWVlflPn169cAADMzMwDAxYsXkZOTgyZNmki3qVixIuzs7HD69GkAwOnTp+Hu7i7tUAFA06ZN8ebNG9y4ceOL/73YqSIiIiIiom9CWFgYTExMZH7CwsL+83Z5eXkYOHAgfHx84ObmBgB4+vQptLW1UbJkSZltS5cujadPn0q3+bBD9f7699d9KU6pTkREREREMoQamDhy5EgEBwfLtOno6Pzn7fr27Yvr16/jxIkTior2WexUERERERHRN0FHR+eLOlEf6tevH3bv3o1jx46hbNmy0nYrKytkZ2fj1atXMtWqZ8+ewcrKSrrNuXPnZO7v/eyA77f5Ehz+R0RERERExY5EIkG/fv2wfft2HD58GI6OjjLXV69eHVpaWoiKipK2xcfHIzExEd7e3gAAb29vXLt2Dc+fP5duc+jQIRgbG8PV1fWLs7BSRUREREREsr7diQml+vbti3Xr1mHnzp0wMjKSngNlYmICPT09mJiYoEePHggODoaZmRmMjY0RFBQEb29v1KpVCwDg6+sLV1dX/Prrr5g6dSqePn2KUaNGoW/fvoWqmLFTRURERERExc6iRYsAAA0aNJBpX7FiBbp27QoAmDVrFjQ0NNC+fXtkZWWhadOmWLhwoXRbTU1N7N69G71794a3tzcMDAwQEBCA0NDQQmXhOlUqiutUqReuU6VeuE6VeuE6VeqF61Spl295narLD94K8rie9kaCPK681PMvNRERERERURFhp4qIiIiIiEgOPKeKiIiIiIhkqOspFV+LlSoiIiIiIiI5sFJFREREREQyWKgqHFaqiIiIiIiI5MAp1VXUywyx0BEEoaOlnscJRGp6PEkC9fzzpcGB7mpFXT+l1fVlbvpdP6EjCCLl7DyhIwjCQPvbfaFfSRRmSvUqdsVzSnUO/yMiIiIiIlnfbn/vm6Seh/WJiIiIiIiKCCtVREREREQkQ11PLfharFQRERERERHJgZUqIiIiIiKSoa6TxXwtVqqIiIiIiIjkwE4VERERERGRHDj8j4iIiIiIZHD0X+GwUkVERERERCQHVqqIiIiIiEgWS1WFwkoVERERERGRHNipIiIiIiIikgOH/xERERERkQwRx/8VCitVREREREREcmClioiIiIiIZIhYqCoUVqqIiIiIiIjkwEoVERERERHJYKGqcFipIiIiIiIikgM7VURERERERHLg8D8iIiIiIpLF8X+FwkoVERERERGRHFipIiIiIiIiGVz8t3BYqSIiIiIiIpIDO1UK1LVrV7Rt2/az2zg4OGD27NlKyUNEREREREWPw/8Edv78eRgYGAgdQy6rli/Dwnmz8FOnXzFo6EgAwI6tm3Bg3x7E34xFRno6Dh07AyMjY4GTFr309DQsnDcXh6P+xssXqXCpWAnDRvyJyu7uQkdTqGfPnmHOzGk4eeI43r3LhK2dPcaNn4TKbqq732KxGIsXzsfe3buQmpKCUqUs0bptOwT+3hsiFV52ftOGddi0cT2ePH4MACjv5Izfe/dBnbr1BU6mWBHLliDq0EHcu3cXOrq6qFrVEwODh8DBsZzQ0RROHd/fqvo6N9TXQUifVmjTqApKmRriSvwjDJm6BRdjE6XbjO7dEt3a1UZJIz2cvnIX/SdtxJ3EZABA3erOOBg+4KP3XafzVJn7+dZdvHAeq1ZGIC72BlKSkzFj9nw0bNxEen3InyPw164dMrfx9qmDBYvDlZz026HCH20KwU6VwEqVKiV0BLnE3riG7Vs3wcnZRab93bt38K5dB96162DhvFkCpVO80DGjkZBwGxPCpqCUpSX2/rULvQK7YevOPbAsXVroeArx5vVrdP21I76rURPzFy+DmakpHjx4AGNjE6GjKdTKiGXYsnE9QidORnknJ9y4cR1jR/0BQ0NDdPqli9DxFMaytBUGDBoCO3t7SCQS/LVzBwb064uNW7fDyclZ6HgKc+H8OfzUsTMqu7tDnCvGvDkz0SuwB7bt2gN9fX2h4ymMur6/VfV1vmhMJ7g6lUH3UZFISn6Nji1qYM/iIFRrPwFPkl9jcNcm6NOxPgLHrMb9x6kY06cV/lrQF57tJyArOxdnrtyFQ5ORMvc5pk8rNKzhUqw6VADwLjMTFSpUhF+79hgyMOij29T2qYuxEyZJL2traSsrHqkADv8rAlu2bIG7uzv09PRgbm6OJk2aID09XXr99OnTYW1tDXNzc/Tt2xc5OTnS6/49/E8kEmHRokVo3rw59PT0UK5cOWzZskWZu/PFMjLSEfLHMIwcPQ5GxrJVqJ87d0GX7oGo7FFFoHSK9+7dO0T9fRADg4egutd3sLOzR6++QbC1s8PmjeuFjqcwK5Yvg5WVFUInhMHd3QM2ZW1R26cObO3shI6mUFdiLqN+w8aoW78BytiUxfe+zVCrtg9uXLsmdDSFatCwEerWqw97ewc4ODgiaMAg6Ovr4+qVGKGjKdSipRHwa+cPJydnuFSsiNCJk5GU9ARxsTeEjqZQ6vr+VsXXua6OFto2roo/Z+/AyUt3cPdhCiYu2Ys7D5MR+ENdAEDfTg0xZdkB7D56DddvP0HP0atgXcoEbRrmf3bn5IrxLPWt9Cf1dTpaNfDAql1nhNy1r+JTtx769h+IRo2//+Q22trasLAoJf0xNlHtgwn/RSTQT3HFTpWckpKS0LFjR3Tv3h1xcXE4evQo/P39IZFIAABHjhzBnTt3cOTIEURGRmLlypVYuXLlZ+9z9OjRaN++Pa5cuYLOnTvj559/RlxcnBL2pnCmh02AT936qFGrttBRBCEW50IsFkNbR0emXUdHF5cvXRQoleJFHzkM18puGBLcHw3reeOnDm2xdcsmoWMpXJWqnjh39jQe3L8HAIi/eRMxly7Bp249gZMpj1gsxr69e5CZmYEqVTyFjqNUaW/fAoDKf8lS1/f3h1TldV5CUwMlSmjiXXaOTPu7rBzU9iwPBxtzWJcyweGzN6XXvUl7h/PX76Omh8NH77NVfQ+Ymxhg9c7i16n6EhcunEPj+rXRrnUzTBo/Fq9evRQ6EhUjHP4np6SkJOTm5sLf3x/29vYAAPcPzqcxNTXF/PnzoampiYoVK6Jly5aIiopCYGDgJ+/zhx9+QM+ePQEA48ePx6FDhzBv3jwsXLhQsTtTCIf270X8zVgsX6NeH7YfMjAwhEeVqli2eCEcy5WDubkF9u/dg6tXYlT6qO6jRw+xeeN6/NKlG3oG9sL169cwNWwCtLS00MavndDxFKZbz9+Qlp6Odq1bQFNTE2KxGH37D0SLVq2FjqZwt2/F49dOPyM7Owv6+vqYNXcByjs5CR1LafLy8jB1yiRU9awGZ+cKQsdRKHV9fwOq9zpPy8jCmSt3MTKwOeLvPcOz1Df4sZkXano44s7DZFhZ5I8wef7ircztnqe+RWnzj58DHdDWG4dOx+Hx81eKjq90tevURaMmvihjY4NHDx9i/txZCOr9G1au2QBNTU2h4wmjOJeNBMBOlZyqVKmCxo0bw93dHU2bNoWvry86dOgAU1NTAEDlypVl3ozW1ta49h/Dhby9vQtcjomJ+eT2WVlZyMrKkm0Tl4DOvyooReXZ0yTMnBaGuYvCFfYYxcWEsKkYO+YPNG1UP7/jXMkVzZq3VOkhQnl5ErhWdkP/gcEAgIqVXHHn9m1s2bRBpb90Hdy/D/t2/4VJU6ajvJMT4m/exPQpk1DK0lKl9xsAHBwcsWnrDqSlvcWhgwcw+o/hiFi5plh/4SyMSRPG4c7t21i5ep3QURROXd/fgGq+zruPWoUlYzvj7sGJyM0VI+bmQ2zafwGelQp/4M/GsiS+966EX4YvV0BS4TVt3lL6u3MFFzhXcEGbFt/jwvlzqFnL+zO3JMrH4X9y0tTUxKFDh7Bv3z64urpi3rx5cHFxwb17+UOEtLS0ZLYXiUTIy8sr0gxhYWEwMTGR+Zk1fXKRPsaHbsbdwMsXqejaqQN8vNzh4+WOyxfPY9P6NfDxcodYLFbYY39rbO3sELFyDU6du4R9fx/Bmg2bkZubC5uytkJHU5hSpUqhfPnyMm2O5cohKemJQImUY/aMaejWMxDNWrSEcwUXtGrjh85dumJF+FKhoymclrY27Ozt4VrZDQMGDUYFl4pYu2aV0LGUYtKEUByLPoplKyJR2spK6DgKp67vb0A1X+f3HqXAt+ccmHsHw7n5aNT9dTq0Smji3uMUPE15AwCwNDOSuY2luRGepb4pcF+/+tVC6ut07I6+qpTsQitra4uSpqZ4mPhA6ChUTLBSVQREIhF8fHzg4+ODMWPGwN7eHtu3b//q+ztz5gy6dOkic9nT89PjukeOHIng4GCZtgyx4p5arxreWLt5p0zbhJA/Ye/oiF+79lTLMrmevj709PXx5vVrnDp1AgODhwgdSWGqeFbD/f+fV/Tegwf3YW1tI1Ai5Xj3LhMikexxKA0NjSI/SFIc5OXlISc7W+gYCiWRSBA2cTwORx1CxMrVKKvCB0o+pK7v749Rpdd5xrtsZLzLRkkjPTSpXQl/zt6J+49TkZT8Gg1ruuDqrfyp5I0MdPGdmwOWbT5R4D66tKmFdbvPITdXPf7mPXv6FK9fvUKpUpZCRxGMiOP/CoWdKjmdPXsWUVFR8PX1haWlJc6ePYvk5GRUqlQJV69+3dGczZs3w8vLC3Xq1MHatWtx7tw5REREfHJ7HR2dAsPwxBmKqxYZGBig/L+mmNXV04OJSUlpe2pKMlJTU/AoMX/K1Tu3b0HfwAClraxhYlJSYdmU7dTJ45BI8oeNPEx8gFkzpsHRsRzatPUXOprC/PJrALr+2hHhSxfDt1lzXL92FVu3bMLokFChoylUvQYNEbFsMaytrVHeyQk34+KwZtVKtG3XXuhoCjVn1gzUqVsPVtbWyEhPx949u3Hh/DksWvrpv0mqYNL4cdi3dzdmz1sIA30DpCTnr9tjaGQEXV1dgdMpjrq+v1X1dd7EuxJEIuDW/ecob1sKkwa1xa17z7Bq12kAwIJ1RzC8ZzMkJCbj/uNUhPRpiaTk19h15IrM/TSoUQGOZS2wYvspIXajSGRkpONh4j/TwD9+/AjxN+Ng/P8RPksWLUDjJr6wsLDAw4cPMWfmNNja2cHbp46Aqak4YadKTsbGxjh27Bhmz56NN2/ewN7eHjNmzEDz5s2xcePGr7rPcePGYcOGDejTpw+sra2xfv16uLq6FnFyxdq2ZSMilvwzsUavHvmVt1HjJqJVG9UZl5/2Ng3zZs/Es2dPYWJSEo2//x59+w8qMOxTlbi5e2Dm7PmYO2cmli5eABubshg6/A+0bNVG6GgKNfyPUVg4by4mTQjFyxepKFXKEh1++Am/9e4jdDSFevEiFaNGDkdy8nMYGhmhQgUXLFoaAe/aPkJHU6hN/18WoUfXX2XaQyeEwa+d6h40Udf3t6q+zk0MdREa1AY2pUvixesM7IyKQciCv6TVphkr/4a+ng7mj+qIkkZ6OBVzB236LkRWdq7M/XRtWxunY+7g1v1nQuxGkYi9cR2/dQ+QXp45Lf80idZt2mLk6LG4fSseu3ftwNs3b1HKshRqefugT78B0NZW37WquPhv4Ygk7+f+pm+CSCTC9u3b0bZtW7nu56UCK1XfMh0t9TxNUF1L9BKo558vDX7SqRV1/ZRW15e56Xf9hI4giJSz84SOIAgD7W/3hZ7wPFOQx3Wy1BPkceWlnt9AiYiIiIiIigiH/xERERERkYxvt4b2bWKn6hvD0ZhERERERMULO1VERERERCSLpapC4TlVREREREREcmClioiIiIiIZKjrzMJfi5UqIiIiIiIiObBTRUREREREJAcO/yMiIiIiIhnqugD312KlioiIiIiISA6sVBERERERkQwWqgqHlSoiIiIiIiI5sFNFREREREQkBw7/IyIiIiIiWRz/VyisVBEREREREcmBlSoiIiIiIpIhYqmqUFipIiIiIiIikgMrVUREREREJIOL/xYOK1VERERERERyYKeKiIiIiIhIDhz+R0REREREMjj6r3BYqSIiIiIiIpIDK1VERERERCSDE1UUDitVREREREREcmCnioiIiIiISA4c/kdERERERP/C8X+FIZJIJBKhQ1DRS8tSz6c1R5wndARB6GlrCh1BEPzrpV7UdXy/ur7OJVDPHRfnqed+W9YdJnQEQWSemy50hE969DJbkMcta6otyOPKi5UqIiIiIiKSoa4Hsr4Wz6kiIiIiIiKSAytVREREREQkg4WqwmGlioiIiIiISA7sVBEREREREcmBw/+IiIiIiEgGJ6ooHFaqiIiIiIiI5MBKFRERERERyRBxqopCYaWKiIiIiIhIDuxUERERERERyYHD/4iIiIiISBZH/xUKK1VERERERERyYKWKiIiIiIhksFBVOKxUERERERERyYGdKiIiIiIiIjlw+B8REREREckQcfxfobBSRUREREREJAdWqoiIiIiISIaIU1UUCitVREREREREcmClioiIiIiIZLFQVSisVBEREREREcmBnSoiIiIiIiI5cPgfERERERHJ4Oi/wmGl6htz//59iEQixMTECB2FiIiIiIi+ADtVX6hBgwYYOHCg0DG+CcvDl+DXjh1Qt1Y1NKlfG8ED+uL+vbsy22RlZWHyxFA0qlsTdWpWw9BBQUhNTREosWKsWr4MtTxdMWtamLRtx9ZN6N0zAI3qfIdanq54+/aNgAkVY9OGdejQrjVq16iG2jWq4ddOP+HE8WihYylFc99GqOrmUuBn0oRxQkdTmuXhS1HVzQVTJ08UOorCXbxwHkF9eqFJgzqoUtkFh6P+FjqSwi1aMK/A67tt62ZCx1KIixfOY0DfXvi+YV14ulXEkX89vxKJBAvnz8X3DeqiVvUq+L1nNzx4cF+YsEVkRfhSdOn4A+rVqo7v6/tg8IB+uH/vnsw2E0ND4NfCFz7fVc3/jO9f8DP+W6ahIcKY35sibscfeHEsDDe2jcCI7k1ktjHQ08asIe2Q8NcovDgWhksbhqKnv3eB+6rpbo99C3shJXoSnh2egENL+kBXR30GeYlEwvwUV+rzylAwiUQCsViMEiVU/5/00oXz+OHnTqhc2R1isRjz585C3149sWX7bujp6wMAZkwNw4nj0Zg8fQ6MjAwxZdJ4DB0UhOWr1gucvmjE3riG7Vs3wcnZRab93bt38K5dB96162DhvFkCpVMsy9JWGDBoCOzs7SGRSPDXzh0Y0K8vNm7dDicnZ6HjKdTaDVuQlyeWXk64fRu9Arvhe1/V/NL5b9evXcWWzRtQoYLLf2+sAjIzM+Di4oK2/u0RPKCf0HGUpryTM5aEr5Be1tTUFDCN4mRmZqKCS0X4tWuPwQODCly/cnk41q9djdCJk2FjUxYL589B3997YuvOPdDR0REgsfzef367VnaDWCzGgrmz0K9XD2z+4PO7kmtlNG/RClbWZfDm9SssWbQAfX/viV37DhWL18LgLg0R2L42AsdtQOzdp6heyRZLRv+IN2nvsHDTCQDAlIFt0MDLCd1C1uNB0gs0qVkBc4b5Iyn5NfYcjwWQ36HaOacnpq88jODp25GbmwePCmWQlycRcvfoG8ZK1Rfo2rUroqOjMWfOHIhEIohEIqxcuRIikQj79u1D9erVoaOjgxMnTqBr165o27atzO0HDhyIBg0aSC/n5eVh6tSpcHJygo6ODuzs7DBx4seP+orFYnTv3h0VK1ZEYmKiAvfyy81fHI42fv4o7+SMCi4VMW58GJ4mPUFc7A0AwNu3b7Fz+1YEDxmOGjVroZKrG0LGh+FKzGVcuxIjbPgikJGRjpA/hmHk6HEwMjaWue7nzl3QpXsgKntUESid4jVo2Ah169WHvb0DHBwcETRgEPT19XFVBZ7b/2JmZgYLi1LSn2PRR2Brawev72oIHU3hMjLS8ceIoRgzdgKMjE2EjqMUderWR78Bg9C4yfdCR1EqTU1Nmde5qamZ0JEUok7deujbfyAafeT5lUgkWLd6FQJ/64WGjRqjgosLxk+aguTnzwtUtIqTeYuXobVfO+nn99jxYXialCT9/AYA/w4/oprXdyhjY4OKrpXRJ2gAnj1NQtKTxwIm/3K1PByw+9h17D8Zh8Skl9h++Cqizt6CV2VbmW3W7LmA45fuIDHpJZbvOIurt5PgVdlOus3UgW2wcOMJTF91BHF3n+F2YjK2/n0F2Tnijz0sETtVX2LOnDnw9vZGYGAgkpKSkJSUBFvb/DfniBEjMHnyZMTFxcHDw+OL7m/kyJGYPHkyRo8ejdjYWKxbtw6lS5cusF1WVhZ++OEHxMTE4Pjx47Czs/vIvQkvLe0tAMDYJP+LVlzsDeTm5qBmrdrSbRwdy8HKugyuXo0RImKRmh42AT5166PGB/unrsRiMfbt3YPMzAxUqeIpdBylysnJxt7du+DXrj1ExXm8wheaNCEUdevVRy1vvu5VXWLiA3zfsA5aNmuMkcMHIynpidCRlO7xo0dISUlGzQ9e70ZGRnDz8FCpA0j//vz+t8yMDOzasQ02NmVR2spKmdG+2pmr99HQyxlOdhYAAHdna3hXccTBUzdltmlVrzLKlMo/MFqvenk421ng77O3AAClTA1Rw90eyS/TcCS8H+7vC8HBxb1Ru4qD0vdHSCKB/iuuVH+sWhEwMTGBtrY29PX1YfX/Pyo3b+a/OUNDQ/H9919+FPPt27eYM2cO5s+fj4CAAABA+fLlUadOHZnt0tLS0LJlS2RlZeHIkSMw+cQfPCC/85WVlSXTlgNtpQxPyMvLw/Spk1DFsxqcnCsAAFJTkqGlpVWgimNubo7UlOJ9XtWh/XsRfzMWy9dsEjqKoG7fisevnX5GdnYW9PX1MWvuApR3chI6llIdjvobb9++RZu27YSOonD79+7BzbhYrN2wRegopGDuHh4InRAGBwdHpKQkY/HCBejepTO27PgLBgaGQsdTmpSUZACAmbm5TLu5uUWx/xx7Ly8vDzOmhsl8fr+3ecM6zJ01A5mZGbB3cMSCpRHQ0tIWKGnhTI88AmMDXVzZNAziPAk0NUQIWbQfGw5clm4TPH07FvzxA+7sGYOcXDHy8iToM2kzTl7OP3fM0Sa/OvtnoC9GztmNq7ceo3NLL+xd0AvVO07HnYeq8RqgosVOlZy8vLwKtX1cXByysrLQuHHjz27XsWNHlC1bFocPH4aent5ntw0LC8O4cbInyo/8cwz+GD22UNm+xuSJobiTcBsRK9cp/LGE9uxpEmZOC8PcReHFdjx9UXFwcMSmrTuQlvYWhw4ewOg/hiNi5Rq16ljt2LYVPnXqwdKyYJVZlTxNSsLUyROxeNlytX/dq4M6detLf6/gUhFu7lXQwrchDu7fh3btfxAwGRW1Kf///A5fubbAdc1btkZN79pISU7G6sgVGDFkECJWrSsWfwM6NKmCn5tVQ9fR6xB79yk8KpTBtGA/JKW8wdo9FwAAfX6sgxpudmgfvByJT1+ijmc5zB7aDknJb3Dk/G1o/H/0QcS2M1i9+zwA4MqtXWjg5YSA1t9hzMJ9gu2fMqnBIIwixU6VnAwMDGQua2hoQCKRPYkxJydH+vt/dZDea9GiBdasWYPTp0+jUaNGn9125MiRCA4Oln1MKP6I0pRJoThx7CiWrVgjMyzA3KIUcnJy8PbNG5lqVWpqKswtLBSeS1Fuxt3Ayxep6Nqpg7RNLBYj5tIFbNm4DsfOxhSLk3iLgpa2Nuzs7QEArpXdcOP6NaxdswpjxoYKnEw5njx5jLNnTmHG7HlCR1G42NgbePEiFR1/9Je2icViXLp4HhvXr8W5S9fU5nWvjoyNjWFn74CH38g5vcpiYVEKAPAiNRWlSllK21NTU+DiUkmoWEVmyqTxOHEsGktXrP7osD5DIyMYGhnBzt4B7lWqoKFPLRyJ+hvNWrQUIG3hTOrfCtMjD2PzoRgAwI07T2FnbYqhAY2wds8F6OqUwLg+zfHTsEjsPxkHALiekASPCmUw8Jf6OHL+NpJS84dFxt17JnPf8fefw9bKVKn7Q8UHO1VfSFtbG2Lxf5+cWKpUKVy/fl2mLSYmBlpaWgAAZ2dn6OnpISoqCj179vzk/fTu3Rtubm5o06YN9uzZg/r1639yWx0dnQJHj9KyFDc7jUQiwdSw8Thy+G8sjVgFm7JlZa6v5FoZJUpo4dzZ02j8fVMAwP17d/E06Qk8PKoqLJeiedXwxtrNO2XaJoT8CXtHR/zatadaf7HMy8tDTna20DGUZuf2bTAzM0fdeg2EjqJwNWvVwpbtf8m0jRk1Eo6O5dCtR6Bav+7VQUZGOh49fAiL1qWEjqJUNmXLwsKiFM6eOQ2XivmdqLS0NFy/ehU//NhR4HRfL//zewKOHv4bSyIiC3x+f/w2gAQS5OQUj7/xerpayPvXwW2xWAINjfyyi1YJTWhrlSgwi59YnCetUD148gJPnr9GBXvZ172TXSmZc7OIPsRO1RdycHDA2bNncf/+fRgaGiIvL++j2zVq1AjTpk3DqlWr4O3tjTVr1uD69evw9Mw/iV9XVxfDhw/HsGHDoK2tDR8fHyQnJ+PGjRvo0aOHzH0FBQVBLBajVatW2LdvX4HzroQyeWIo9u/bjZlzFkDfwEA69tzQ0Ai6urowMjKCX7v2mDl9CoxNTGBoaIipYRPgUaUq3KtUFTa8HAwMDFD+X1OG6+rpwcSkpLQ9NSUZqakpePT/o7p3bt+CvoEBSltZw8SkpLIjK8ScWTNQp249WFlbIyM9HXv37MaF8+ewaGmE0NGUIi8vD7t2bENrv7ZqsYSCgYFhgfMt9PT0YVKyZIF2VZORni4z6+rjR49wMy4OJiYmsC5TRsBkijNz2hTUa9AQ1mXKIPn5cyxaMA+amhpo1qKV0NGKXEZGukwF7vHjR4i/GQdjExNYW5dBp1+7IHzpYtjZO8DGxgYL589FKUtLNGzc5DP3+m2bMjEU+/ftwYw58z/6+f3o0UMc2r8PtWr7wNTUFM+ePcPKiGXQ1dGBT516Aqf/MnuPx2J418Z4+PQVYu8+RVUXG/TvVA+r/sofxvc2PQvHLt7BpP6tkJmVg8SnL1HXsxw6t/DC8Dm7pPcza81RjPrNF9duJ+HKrcf4paUXXOwt0WnEKqF2jb5xqv+NoIgMGTIEAQEBcHV1RWZmJlasWPHR7Zo2bYrRo0dj2LBhePfuHbp3744uXbrg2rVr0m1Gjx6NEiVKYMyYMXjy5Amsra3Rq1evj97fwIEDkZeXhxYtWmD//v2oXVv4mbe2bMpfa+q37l1k2kPGT0Ibv/whQoOHjYSGhgaGBQ9AdnY2vH3qYMSfY5SeVdm2bdmIiCULpZd79cj/Nxo1biJatVGNCQ1evEjFqJHDkZz8HIZGRqhQwQWLlkbAu7aP0NGU4szpU0hKeoK27doLHYUU7MaN6+jZ7Z+/c9On5i/03cavHcZPmixULIV69uwpRg4LxqtXr2BqZgZPz+pYtXYTzMxUb1r12OvXEdg9QHp5xtT857S1X1uETpyMrt17IjMzExPGjsHbt29QtVp1LFi8rFicV/QpWzZtAAD8/sF+A/mf36392kFHWweXL13A+jWr8ObNG5ibm8OzuhciVq0vMGnHtyp4+g6E/N4Uc4b5o5SpIZJSXiNi+xlMCj8k3abLqDUI7dMCK0M7wdRYH4lPX2Ls4n1YtvW0dJv5G45DV7sEpg5qA1NjfVy7/QStgpbg3uNUIXaLigGR5N8nAJFKUOTwv29ZjvjjFURVp6etnkOw+NdLvajrSdPq+jqXQD13XKymi8ta1h0mdARBZJ6bLnSET3qVKcyaXCX1iud3Gq5TRUREREREJAcO/yMiIiIiIhnFeSFeIbBSRUREREREJAd2qoiIiIiIiOTA4X9ERERERCRDXScH+lqsVBEREREREcmBlSoiIiIiIpLBQlXhsFJFREREREQkB1aqiIiIiIhIFktVhcJKFRERERERkRzYqSIiIiIiIpIDh/8REREREZEMEcf/FQorVURERERERHJgpYqIiIiIiGRw8d/CYaWKiIiIiIhIDuxUERERERERyYHD/4iIiIiISAZH/xUOK1VERERERERyYKWKiIiIiIhksVRVKKxUERERERERyYGVKiIiIiIiksHFfwuHlSoiIiIiIiq2FixYAAcHB+jq6qJmzZo4d+6c0jOwU0VERERERMXSxo0bERwcjJCQEFy6dAlVqlRB06ZN8fz5c6XmYKeKiIiIiIhkiETC/BTWzJkzERgYiG7dusHV1RWLFy+Gvr4+li9fXvT/KJ/BThUREREREX0TsrKy8ObNG5mfrKysj26bnZ2NixcvokmTJtI2DQ0NNGnSBKdPn1ZW5HwSoiL07t07SUhIiOTdu3dCR1Eq7jf3Wx1wv7nf6oD7zf0mYYWEhEgAyPyEhIR8dNvHjx9LAEhOnTol0z506FBJjRo1lJD2HyKJRCJRbjeOVNmbN29gYmKC169fw9jYWOg4SsP95n6rA+4391sdcL+53ySsrKysApUpHR0d6OjoFNj2yZMnsLGxwalTp+Dt7S1tHzZsGKKjo3H27FmF532PU6oTEREREdE34VMdqI+xsLCApqYmnj17JtP+7NkzWFlZKSLeJ/GcKiIiIiIiKna0tbVRvXp1REVFSdvy8vIQFRUlU7lSBlaqiIiIiIioWAoODkZAQAC8vLxQo0YNzJ49G+np6ejWrZtSc7BTRUVKR0cHISEhX1y2VRXcb+63OuB+c7/VAfeb+03Fy08//YTk5GSMGTMGT58+RdWqVbF//36ULl1aqTk4UQUREREREZEceE4VERERERGRHNipIiIiIiIikgM7VURERERERHJgp4qIiIiIiEgO7FQRERERERHJgZ0qKjLZ2dmIj49Hbm6u0FGIityqVauQlZVVoD07OxurVq0SIJHi5eTkoHv37rh3757QUYiIisSjR48+ed2ZM2eUmIRUDadUJ7llZGQgKCgIkZGRAIBbt26hXLlyCAoKgo2NDUaMGCFwQsU5fvw4lixZgjt37mDLli2wsbHB6tWr4ejoiDp16ggdj4qQpqYmkpKSYGlpKdOempoKS0tLiMVigZIplomJCWJiYuDo6Ch0FKUyNTWFSCQq0C4SiaCrqwsnJyd07dpV6YtLKlJwcPBH2z/cZz8/P5iZmSk5GSlKfHw85s2bh7i4OABApUqVEBQUBBcXF4GTKY6rqytOnDhR4HV88uRJtGzZEq9evRImGBV7rFSR3EaOHIkrV67g6NGj0NXVlbY3adIEGzduFDCZYm3duhVNmzaFnp4eLl++LK1ivH79GpMmTRI4XdHy9PREtWrVvuhHVUkkko9+yX706BFMTEwESKQcbdu2xY4dO4SOoXRjxoyBhoYGWrZsiXHjxmHcuHFo2bIlNDQ00LdvX1SoUAG9e/fGsmXLhI5aZC5fvoyIiAgsXboU0dHRiI6OxrJlyxAREYGoqCgEBwfDyckJsbGxQkdViNWrV8PHxwdlypTBgwcPAACzZ8/Gzp07BU6mGFu3boWbmxsuXryIKlWqoEqVKrh06RLc3NywdetWoeMpTK1ateDr64u3b99K244dO4YWLVogJCREwGRU3JUQOgAVfzt27MDGjRtRq1YtmS+dlStXxp07dwRMplgTJkzA4sWL0aVLF2zYsEHa7uPjgwkTJgiYrOi1bdtW+vu7d++wcOFCuLq6wtvbG0D+kIkbN26gT58+AiVUHE9PT4hEIohEIjRu3BglSvzzZ1MsFuPevXto1qyZgAkVy9nZGaGhoTh58iSqV68OAwMDmev79+8vUDLFOnHiBCZMmIBevXrJtC9ZsgQHDx7E1q1b4eHhgblz5yIwMFCglEXrfRVqxYoVMDY2BpB/kKhnz56oU6cOAgMD0alTJwwaNAgHDhwQOG3RWrRoEcaMGYOBAwdi4sSJ0spzyZIlMXv2bPj5+QmcsOgNGzYMI0eORGhoqEx7SEgIhg0bhvbt2wuUTLHCw8PRoUMHtG7dGgcOHMCpU6fQpk0bTJgwAQMGDBA6HhVjHP5HctPX18f169dRrlw5GBkZ4cqVKyhXrhyuXLmCevXq4fXr10JHVAh9fX3ExsbCwcFBZr/v3r0LV1dXvHv3TuiICtGzZ09YW1tj/PjxMu0hISF4+PAhli9fLlAyxRg3bpz0/4MHD4ahoaH0Om1tbTg4OKB9+/bQ1tYWKqJCfW7Yn0gkwt27d5WYRnkMDQ0RExMDJycnmfaEhARUrVoVaWlpuHPnDjw8PJCeni5QyqJlY2ODQ4cOwdXVVab9xo0b8PX1xePHj3Hp0iX4+voiJSVFoJSK4erqikmTJqFt27Yyf8+vX7+OBg0aqNz+AvmfYVevXi3wGr99+zaqVKmCjIwMgZIpXnZ2Nlq2bImMjAxcvXoVYWFh6Nevn9CxqJhjpYrk5uXlhT179iAoKAgApNWq8PBwaSVDFVlZWSEhIQEODg4y7SdOnEC5cuWECaUEmzdvxoULFwq0//LLL/Dy8lK5TtX74SAODg746aefZIa4qgN1naTCzMwMf/31FwYNGiTT/tdff0nPxUhPT4eRkZEQ8RTi9evXeP78eYFOVXJyMt68eQMgv3KTnZ0tRDyFunfvHjw9PQu06+joqEyn+d8aNGiA48ePF+hUnThxAnXr1hUolWJcvXq1QNvYsWPRsWNH/PLLL6hXr550Gw8PD2XHIxXBThXJbdKkSWjevDliY2ORm5uLOXPmIDY2FqdOnUJ0dLTQ8RQmMDAQAwYMwPLlyyESifDkyROcPn0aQ4YMwejRo4WOpzB6eno4efIknJ2dZdpPnjyp0h2OgIAAoSMIKjs7G/fu3UP58uVlhkCqqtGjR6N37944cuQIatSoAQA4f/489u7di8WLFwMADh06hPr16wsZs0j5+fmhe/fumDFjBr777jsA+fs8ZMgQ6RDgc+fOoUKFCgKmVAxHR0fExMTA3t5epn3//v2oVKmSQKkUq02bNhg+fDguXryIWrVqAcgfyr1582aMGzcOu3btktm2OKtatSpEIhE+HJz1/vKSJUuwdOlS6XmzqjrpECkeh/9Rkbhz5w4mT56MK1euIC0tDdWqVcPw4cPh7u4udDSFkUgkmDRpEsLCwqTDJHR0dDBkyJACQ+NUyeTJkzFu3DgEBgZKv2yePXsWy5cvx+jRo1V2tkexWIxZs2Zh06ZNSExMLHC0/sWLFwIlUyx1nt3z5MmTmD9/PuLj4wEALi4uCAoKQu3atQVOphhpaWkYNGgQVq1aJV0ao0SJEggICMCsWbNgYGCAmJgYAPlfUlVJeHg4xo4dixkzZqBHjx4IDw/HnTt3EBYWhvDwcPz8889CRyxyGhpfNleZKnQ03k888iX+3bEm+lLsVBHJKTs7GwkJCUhLS4Orq6vMOTeqatOmTZgzZ47MNLwDBgzAjz/+KHAyxRkzZgzCw8MxePBgjBo1Cn/++Sfu37+PHTt2YMyYMSo7YcOAAQNw8uRJzJ49G82aNcPVq1dRrlw57Ny5E2PHjsXly5eFjkhFLC0tTXquXLly5dTibxoArF27FmPHjpVOsFSmTBmMGzcOPXr0EDgZERUH7FRRkcjLy0NCQgKeP3+OvLw8mevq1asnUCoqarm5uZg0aRK6d++OsmXLCh1HqcqXL4+5c+eiZcuWMDIyQkxMjLTtzJkzWLdundARFcLe3l46u+eHJ/AnJCSgWrVq0nNtVJFYLMaOHTukBw8qV66MNm3aQFNTU+Bkivd+gVR1e58D+dXZtLS0AmvSkWoICwtD6dKl0b17d5n25cuXIzk5GcOHDxcoGRV37FSR3M6cOYNOnTrhwYMH+PfLSRWGDXzI39//i7fdtm2bApMIx9DQENevXy8wQYeqMzAwQFxcHOzs7GBtbY09e/agWrVquHv3Ljw9PVV6lkt1nN0zISEBLVq0wOPHj6ULocbHx8PW1hZ79uxB+fLlBU5Y9PLy8jBhwgTMmDEDaWlpAAAjIyMMHjwYf/755xcPFyuOMjMzIZFIoK+vDyB/uNj27dvh6uoKX19fgdMVnblz5+K3336Drq4u5s6d+9ltVbX67uDggHXr1hUYxnv27Fn8/PPPajs5D8lP9c82JoXr1auXdAZAa2vrjy6QqipUeZHXL9W4cWNER0erXaeqbNmySEpKgp2dHcqXL4+DBw+iWrVqOH/+PHR0dISOpzDqOrtn//79Ub58eZw5c0Y6219qaip++eUX9O/fH3v27BE4YdH7888/ERERgcmTJ8PHxwdA/kxwY8eOxbt37zBx4kSBEyqOn58f/P390atXL7x69Qo1atSAtrY2UlJSMHPmTPTu3VvoiEVi1qxZ6Ny5M3R1dTFr1qxPbicSiVS2U/X06VNYW1sXaC9VqhSSkpIESESqgp0qktvt27exZcuWAtOyqqIVK1YIHUFwzZs3x4gRI3Dt2rWPLgZb3GeJ+pR27dohKioKNWvWRFBQEH755RdEREQgMTGxwLTbqkRdZ/eMjo6W6VABgLm5uUyHQ9VERkYiPDxc5j3s4eEBGxsb9OnTR6U7VZcuXZJ2MrZs2QIrKytcvnwZW7duxZgxY1SmU/VhFUZdKzK2trY4efJkgTX4Tp48iTJlygiUilQBO1Ukt5o1ayIhIUEtOlUE9OnTBwAwc+bMAtep2nDPD02ePFn6+08//QR7e3ucOnUKzs7OaN26tYDJFKtOnTqIiYnB5MmT4e7uLq3QnT59WqVn99TR0cHbt28LtKelpansQs8vXrxAxYoVC7RXrFhRZWe3fC8jI0O65tjBgwfh7+8PDQ0N1KpVq1Azx9G3LzAwEAMHDkROTg4aNWoEAIiKisKwYcMwePBggdNRccZzqkhu27dvx6hRozB06FC4u7tDS0tL5npVWkivWrVqiIqKgqmpKTw9PT871PHSpUtKTEaKxpOb1UuXLl1w6dIlREREyCwdEBgYiOrVq2PlypXCBlSAmjVrombNmgXOtQkKCsL58+dx5swZgZIpnoeHB3r27Il27drBzc0N+/fvh7e3Ny5evIiWLVvi6dOnQkcscmKxGCtXrkRUVNRHJ5k6fPiwQMkUSyKRYMSIEZg7d650aQxdXV0MHz4cY8aMETgdFWfsVJHcPnby8vtF9VStcjFu3DgMHToU+vr6GDdu3Ge3DQkJUVIqUgZ1Prn5zp07WLFiBe7evYvZs2fD0tIS+/btg52dHSpXrix0PIV49eoVAgIC8Ndff0kPFOXk5MDPzw8rVqxAyZIlhQ2oANHR0WjZsiXs7Oyk58udPn0aDx8+xN69e1G3bl2BEyrOli1b0KlTJ4jFYjRu3BgHDx4EkH8w5dixY9i3b5/ACYtev379sHLlSrRs2fKj50N/7pwrVZCWloa4uDjo6enB2dlZpc+NJeVgp4rk9l9DI7iQXvHHGaPyj2TGxcUVGId/9+5duLq64t27dwIlU6zo6Gg0b94cPj4+OHbsGOLi4lCuXDlMnjwZFy5cwJYtW4SOqFAJCQky67Gp+jDnJ0+eYMGCBbh58yaA/H3u06ePWpxr8vTpUyQlJaFKlSrSg4Xnzp2DsbHxR4dFFncWFhZYtWoVWrRoIXQUIpXAThWRnC5cuCD90uXq6orq1asLnKjoOTo64sKFCzA3Ny/QqfiQSCSSLhqqapydnRESEoJffvlFpn316tUICQlR2f329vbGDz/8gODgYJkp1c+dOwd/f3/pekaqIDg4+Iu3/dg5hcVZTk4OmjVrhsWLF8PZ2VnoOEqVk5MDPT09xMTEwM3NTeg4SlOmTBkcPXoUFSpUEDqKUjVs2PCzQ/dVddgjKR4nqqAiExsbi8TEROkY5fdUdTa4R48eoWPHjjh58qR0KNCrV69Qu3ZtbNiwQaUWzfzUjFHvj8mo8jT676nryc3Xrl376MLGlpaWSElJESCR4ly+fFnm8qVLl5Cbmytdp+rWrVvQ1NRUyQMnWlpauHr1qtAxBKGlpQU7OzuVGqr+JQYPHow5c+Zg/vz5avE3/L2qVavKXM7JyUFMTAyuX7+OgIAAYUKRSmCniuR29+5dtGvXDteuXZOeSwX880VbVT+oevbsiZycHMTFxcksDtqtWzf07NkT+/fvFzih4kRERGDWrFm4ffs2gPwqzsCBA9GzZ0+BkynO0KFDkZqaij59+hQ4uXnkyJECp1OckiVLIikpqUCF8vLly7CxsREolWIcOXJE+vvMmTNhZGSEyMhImJqaAgBevnyJbt26qey5Re+XCfhwpkt18eeff+KPP/7A6tWrZabRVzX/XsD+8OHD2LdvHypXrlxgkilVXcD+U+eKjR07VrroNdHX4PA/klvr1q2hqamJ8PBwODo64ty5c0hNTcXgwYMxffp0lf0Coqenh1OnTsHT01Om/eLFi6hbty4yMjIESqZYY8aMwcyZMxEUFCRzMvv8+fMxaNAghIaGCpxQsdTt5OYhQ4bg7Nmz2Lx5MypUqIBLly7h2bNn6NKlC7p06aKyE7LY2Njg4MGDBSbiuH79Onx9ffHkyROBkilOUFAQVq1aBWdn54+uQadqQx4/5OnpiYSEBOTk5MDe3r7AvqvKbK7dunX74m3VbV3GhIQE1KhRQ+WXDyDFYaWK5Hb69GkcPnwYFhYW0NDQgIaGBurUqYOwsDD079+/wJAaVWFra4ucnJwC7WKxWKVP6l60aBGWLVuGjh07StvatGkDDw8PBAUFqXynytDQEN99953QMZRm0qRJ6Nu3L2xtbSEWi+Hq6orc3Fx07twZo0aNEjqewrx58wbJyckF2pOTkz+6flVxdfXqVbi5uUFDQwPXr19HtWrVAOQPdfyQqg8Pa9u2rdARlOLDjlJmZiby8vKkHcj79+9jx44dqFSpEpo2bSpURMGcPn0aurq6QsegYoydKpKbWCyWLppoYWGBJ0+ewMXFBfb29oiPjxc4neJMmzYNQUFBWLBgAby8vADkT1oxYMAATJ8+XeB0ipOTkyPd3w9Vr14dubm5AiQiRdLW1sayZcswZswYXLt2DWlpafD09FT5yQzatWuHbt26YcaMGTLrVA0dOrTAEKrizNPTE0lJSbC0tMSDBw9w/vx5mJubCx1L6VS14vo5fn5+8Pf3R69evfDq1SvUqlULWlpaSElJwcyZM9G7d2+hIyrEv9+/EokESUlJuHDhAkaPHi1QKlIFHP5Hcqtbty4GDx6Mtm3bolOnTnj58iVGjRqFpUuX4uLFi7h+/brQEYuMqampzBHb9PR05ObmokSJ/OMT7383MDBQ2SEEQUFB0NLSKjAUaMiQIcjMzMSCBQsESkZFRZ1nwXsvIyMDQ4YMwfLly6UV6RIlSqBHjx6YNm1ageFhxZW5uTn27t2LmjVrQkNDA8+ePUOpUqWEjiWYixcvSmdzrVy5coHh3arEwsIC0dHRqFy5MsLDwzFv3jxcvnwZW7duxZgxY6T/Dqrm30MgNTQ0UKpUKTRq1Ai+vr4CpSJVwEoVyW3UqFFIT08HAISGhqJVq1aoW7cuzM3NsXHjRoHTFa3Zs2cLHUEQH37JFolECA8Px8GDB1GrVi0A+UfwExMT0aVLF6EiUhFS51nw3tPX18fChQsxbdo03LlzBwBQvnx5lelMvde+fXvUr19fuvirl5cXNDU1P7qtqi4bAADPnz/Hzz//jKNHj8rM5tqwYUNs2LBBJTuaGRkZ0lEmBw8ehL+/PzQ0NFCrVq3/XH+yuBKLxejWrRvc3d2lE9AQFRVWqkghXrx4UaCqQ8VXw4YNv2g7kUjENT5UzMyZM3H06NFPzoKnytPJq4v9+/cjISEB/fv3R2hoqPSL9r8NGDBAycmU56effsLdu3exatUqVKpUCUD+MiEBAQFwcnLC+vXrBU5Y9Dw8PNCzZ0+0a9cObm5u2L9/P7y9vXHx4kW0bNkST58+FTqiQnxqIXciebFTRSQHsViMHTt2yAwXadOmzSeP9BIVN+o4C5666tatG+bOnfvJTpUqMzExwd9//11gEppz587B19cXr169EiaYAm3ZsgWdOnWCWCxG48aNcfDgQQBAWFgYjh07hn379gmcUDG8vLwwZcoUNG7cWOgopGI4/I++SmFO1FbVtS4SEhLQokULPH78WDosKiwsDLa2ttizZw/Kly8vcEIi+anLLHikflNofygvL6/AOk1A/sLAeXl5AiRSvA4dOqBOnTpISkpClSpVpO2NGzdGu3btBEymWBMmTMCQIUMwfvz4jy4dYGxsLFAyKu5YqaKvwrUugBYtWkAikWDt2rXSxSJTU1Pxyy+/QENDA3v27BE4IZH8unTpguPHj390Fry6desiMjJS4IRE8vPz88OrV6+wfv166ZIYjx8/RufOnWFqaort27cLnJCKioaGhvT3D09RkEgkEIlEEIvFQsQiFcBOFdFXMjAwwJkzZ+Du7i7TfuXKFfj4+HBldlIJ6jILHqm3hw8fok2bNrhx4wZsbW0BAImJiXB3d8euXbtQtmxZgRNSUYmMjIStrW2BYfp5eXlITExEQECAQMmouGOniorM8+fPpetSubi4wNLSUuBEimVmZobdu3ejdu3aMu0nT55E69atVXZKdVJP6enpKj0LHpFEIkFUVJT0HNlKlSqhSZMmAqeioqapqSldm+1DqampsLS0ZKWKvho7VSS3N2/eoG/fvtiwYYP0j5GmpiZ++uknLFiwACYmJgInVIwuXbrg0qVLiIiIkBkWFRgYiOrVq2PlypXCBiQioi8WFRWFqKgoPH/+vMB5VMuXLxcoFRW1T63H9uDBA7i6ukqXiCEqLE5UQXILDAzE5cuXsXv3bnh7ewMATp8+jQEDBuD333/Hhg0bBE6oGHPnzkVAQAC8vb2lJzjn5uaiTZs2mDNnjsDpiIjoS40bNw6hoaHw8vKSrtlFquX9eosikQijR4+Gvr6+9DqxWIyzZ8+iatWqAqUjVcBKFcnNwMAABw4cQJ06dWTajx8/jmbNmqn8UZ/bt2/j5s2bAPKHizg5OQmciIiICsPa2hpTp07Fr7/+KnQUUpD36y1GR0fD29sb2tra0uu0tbXh4OCAIUOGwNnZWaiIVMyxUkVyMzc3/+gQPxMTE7VYsdzZ2Zl/hImIirHs7OwC58eSajly5AiA/NmL58yZw6nTqcixUkVyW7p0KTZv3ozVq1fDysoKAPD06VMEBATA398fv//+u8AJFUMikWDLli04cuTIR8fgq+r6XEREqmb48OEwNDTE6NGjhY5CRMUUO1UkN09PTyQkJCArKwt2dnYA8qei1dHRKVDBuXTpkhARFWLAgAFYsmQJGjZsiNKlSxcYg6+q63MREamC9+fYAPnTaUdGRsLDwwMeHh4FFgKeOXOmsuMRUTHD4X8kt7Zt2wodQRCrV6/Gtm3b0KJFC6GjEBFRIV2+fFnm8vtJCq5fvy7TzkkriOhLsFNFchGLxWjYsCE8PDxQsmRJoeMolYmJCcqVKyd0DCIi+grvz7EhIioKGkIHoOJNU1MTvr6+ePnypdBRlG7s2LEYN24cMjMzhY5CRERERAJipYrk5ubmhrt378LR0VHoKEr1448/Yv369bC0tISDg0OBMfiqdP4YEREREX0aO1UktwkTJmDIkCEYP348qlevDgMDA5nrVXXa0oCAAFy8eBG//PLLRyeqICIiIiL1wNn/SG4aGv+MIv2wYyGRSCASiSAWi4WIpXCfWvSYiIiIiNQLK1UkN3U92dfW1lZlq3BERERE9OVYqSL6Snv27MG8efOwePFiODg4CB2HiIiIiATCThV9latXr8LNzQ0aGhq4evXqZ7f18PBQUirlMjU1RUZGBnJzc6Gvr19goooXL14IlIyIiIiIlImdKvoqGhoaePr0KSwtLaGhoQGRSISPvZRU+ZyqyMjIz14fEBCgpCREREREJCR2quirPHjwAHZ2dhCJRHjw4MFnt7W3t1dSKiIiIiIi5WOniopMbGwsEhMTkZ2dLW0TiURo3bq1gKkUSywWY8eOHYiLiwMAVK5cGW3atIGmpqbAyYiIiIhIWdipIrndvXsX7dq1w7Vr12SGAb6fXl1Vh/8lJCSgRYsWePz4MVxcXAAA8fHxsLW1xZ49e1C+fHmBExIRERGRMmj89yZEnzdgwAA4Ojri+fPn0NfXx/Xr13Hs2DF4eXnh6NGjQsdTmP79+6N8+fJ4+PAhLl26hEuXLiExMRGOjo7o37+/0PGIiIiISElYqSK5WVhY4PDhw/Dw8ICJiQnOnTsHFxcXHD58GIMHD8bly5eFjqgQBgYGOHPmDNzd3WXar1y5Ah8fH6SlpQmUjIiIiIiUiZUqkptYLIaRkRGA/A7WkydPAORPUBEfHy9kNIXS0dHB27dvC7SnpaVBW1tbgEREREREJAR2qkhubm5uuHLlCgCgZs2amDp1Kk6ePInQ0FCUK1dO4HSK06pVK/z22284e/YsJBIJJBIJzpw5g169eqFNmzZCxyMiIiIiJeHwP5LbgQMHkJ6eDn9/fyQkJKBVq1a4desWzM3NsXHjRjRq1EjoiArx6tUrBAQE4K+//pIu/Jubm4s2bdpgxYoVKFmypLABiYiIiEgp2KkihXjx4gVMTU2lMwCqsoSEBOmU6pUqVYKTk5PAiYiIiIhImdipIvpKoaGhGDJkCPT19WXaMzMzMW3aNIwZM0agZERERESkTOxUEX0lTU1NJCUlwdLSUqY9NTUVlpaWKrs+FxERERHJ4kQVRF9JIpF8dHjjlStXYGZmJkAiIiIiIhJCCaEDEBU3788VE4lEqFChgkzHSiwWIy0tDb169RIwIREREREpE4f/ERVSZGQkJBIJunfvjtmzZ8PExER6nba2NhwcHODt7S1gQiIiIiJSJnaqiL5SdHQ0ateuLZ1OnYiIiIjUEztVRF8pMTHxs9fb2dkpKQkRERERCYmdKqKvpKGh8dl1uDj7HxEREZF64EQVRF/p8uXLMpdzcnJw+fJlzJw5ExMnThQoFREREREpGytVREVsz549mDZtGo4ePSp0FCIiIiJSAq5TRVTEXFxccP78eaFjEBEREZGScPgf0Vd68+aNzGWJRIKkpCSMHTsWzs7OAqUiIiIiImVjp4roK5UsWbLARBUSiQS2trbYsGGDQKmIiIiISNl4ThXRV4qOjpa5rKGhgVKlSsHJyQklSvB4BREREZG6YKeKSE6xsbFITExEdna2THubNm0ESkREREREysTD6URf6e7du/D398fVq1chEonw/vjE+yGBXKeKiIiISD1w9j+irzRgwAA4ODjg+fPn0NfXx/Xr13Hs2DF4eXlxOnUiIiIiNcLhf0RfycLCAocPH4aHhwdMTExw7tw5uLi44PDhwxg8eHCBxYGJiIiISDWxUkX0lcRiMYyMjADkd7CePHkCALC3t0d8fLyQ0YiIiIhIiXhOFdFXcnNzw5UrV+Do6IiaNWti6tSp0NbWxtKlS1GuXDmh4xERERGRknD4H9FXOnDgANLT0+Hv74+EhAS0atUKt27dgrm5OTZu3IhGjRoJHZGIiIiIlICdKqIi9OLFC5iamhZYFJiIiIiIVBc7VURERERERHLgRBVERERERERyYKeKiIiIiIhIDuxUERERERERyYGdKiIi+qZ07doVbdu2lV5u0KABBg4cqPQcR48ehUgkwqtXr5T+2EREVLywU0VERF+ka9euEIlEEIlE0NbWhpOTE0JDQ5Gbm6vQx922bRvGjx//RduyI0RERELg4r9ERPTFmjVrhhUrViArKwt79+5F3759oaWlhZEjR8psl52dDW1t7SJ5TDMzsyK5HyIiIkVhpYqIiL6Yjo4OrKysYG9vj969e6NJkybYtWuXdMjexIkTUaZMGbi4uAAAHj58iB9//BElS5aEmZkZ/Pz8cP/+fen9icViBAcHo2TJkjA3N8ewYcPw75U+/j38LysrC8OHD4etrS10dHTg5OSEiIgI3L9/Hw0bNgQA6XpxXbt2BQDk5eUhLCwMjo6O0NPTQ5UqVbBlyxaZx9m7dy8qVKgAPT09NGzYUCYnERHR57BTRUREX01PTw/Z2dkAgKioKMTHx+PQoUPYvXs3cnJy0LRpUxgZGeH48eM4efIkDA0N0axZM+ltZsyYgZUrV2L58uU4ceIEXrx4ge3bt3/2Mbt06YL169dj7ty5iIuLw5IlS2BoaAhbW1ts3boVABAfH4+kpCTMmTMHABAWFoZVq1Zh8eLFuHHjBgYNGoRffvkF0dHRAPI7f/7+/mjdujViYmLQs2dPjBgxQlH/bEREpGI4/I+IiApNIpEgKioKBw4cQFBQEJKTk2FgYIDw8HDpsL81a9YgLy8P4eHhEIlEAIAVK1agZMmSOHr0KHx9fTF79myMHDkS/v7+AIDFixfjwIEDn3zcW7duYdOmTTh06BCaNGkCAChXrpz0+vdDBS0tLVGyZEkA+ZWtSZMm4e+//4a3t7f0NidOnMCSJUtQv359LFq0COXLl8eMGTMAAC4uLrh27RqmTJlShP9qRESkqtipIiKiL7Z7924YGhoiJycHeXl56NSpE8aOHYu+ffvC3d1d5jyqK1euICEhAUZGRjL38e7dO9y5cwevX79GUlISatasKb2uRIkS8PLyKjAE8L2YmBhoamqifv36X5w5ISEBGRkZ+P7772Xas7Oz4enpCQCIi4uTyQFA2gEjIiL6L+xUERHRF2vYsCEWLVoEbW1tlClTBiVK/PMxYmBgILNtWloaqlevjrVr1xa4n1KlSn3V4+vp6RX6NmlpaQCAPXv2wMbGRuY6HR2dr8pBRET0IXaqiIjoixkYGMDJyemLtq1WrRo2btwIS0tLGBsbf3Qba2trnD17FvXq1QMA5Obm4uLFi6hWrdpHt3d3d0deXh6io6Olw/8+9L5SJhaLpW2urq7Q0dFBYmLiJytclSpVwq5du2Tazpw58987SUREBE5UQURECtK5c2dYWFjAz88Px48fx71793D06FH0798fjx49AgAMGDAAkydPxo4dO3Dz5k306dPns2tMOTg4ICAgAN27d8eOHTuk97lp0yYAgL29PUQiEXbv3o3k5GSkpaXByMgIQ4YMwaBBgxAZGYk7d+7g0qVLmDdvHiIjIwEAvXr1wu3btzF06FDEx8dj3bp1WLlypaL/iYiISEWwU0VERAqhr6+PY8eOwc7ODv7+/qhUqRJ69OiBd+/eSStXgwcPxq+//oqAgAB4e3vDyMgI7dq1++z9Llq0CB06dECfPn1QsWJFBAYGIj09HQBgY2ODcePGYcSIEShdujT69esHABg/fjxGjx6NsLAwVKpUCc2aNcOePXvg6OgIALCzs8PWrVuxY8cOVKlSBYsXL8akSZMU+K9DRESqRCT51NnARERERERE9J9YqSIiIiIiIpIDO1VERERERERyYKeKiIiIiIhIDuxUERERERERyYGdKiIiIiIiIjmwU0VERERERCQHdqqIiIiIiIjkwE4VERERERGRHNipIiIiIiIikgM7VURERERERHJgp4qIiIiIiEgO7FQRERERERHJ4X9t8bj8u5vcbAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Sample Predictions (Correct vs Incorrect)\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Get predictions\n",
        "y_pred = model.predict(test_images)\n",
        "y_pred_classes = np.argmax(y_pred, axis=1)\n",
        "y_true = test_labels.flatten()\n",
        "\n",
        "# Find indices of correct and incorrect predictions\n",
        "correct_idx = np.where(y_pred_classes == y_true)[0]\n",
        "incorrect_idx = np.where(y_pred_classes != y_true)[0]\n",
        "\n",
        "# ============== SAMPLE PREDICTIONS ==============\n",
        "plt.figure(figsize=(15, 8))\n",
        "\n",
        "# Show 5 Correct Predictions\n",
        "print(\"=== 5 Correct Predictions ===\")\n",
        "for i in range(5):\n",
        "    idx = correct_idx[i]\n",
        "    plt.subplot(2, 5, i+1)\n",
        "    plt.imshow(test_images[idx])\n",
        "    plt.title(f\"True: {class_names[y_true[idx]]}\\nPred: {class_names[y_pred_classes[idx]]}\",\n",
        "              color='green', fontsize=10)\n",
        "    plt.axis('off')\n",
        "\n",
        "# Show 5 Incorrect Predictions\n",
        "print(\"=== 5 Incorrect Predictions ===\")\n",
        "for i in range(5):\n",
        "    idx = incorrect_idx[i]\n",
        "    plt.subplot(2, 5, i+6)\n",
        "    plt.imshow(test_images[idx])\n",
        "    plt.title(f\"True: {class_names[y_true[idx]]}\\nPred: {class_names[y_pred_classes[idx]]}\",\n",
        "              color='red', fontsize=10)\n",
        "    plt.axis('off')\n",
        "\n",
        "plt.suptitle('Sample Predictions (Green = Correct, Red = Incorrect)\\nTest Accuracy: 80.89%',\n",
        "             fontsize=14)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        },
        "id": "k2JoRKhJe1SN",
        "outputId": "cf105e1a-d5f9-4bd0-928f-e3d701c0c3ac"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 49ms/step\n",
            "=== 5 Correct Predictions ===\n",
            "=== 5 Incorrect Predictions ===\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x800 with 10 Axes>"
            ],
            "image/png": 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}