Object_detection_with_CNN.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "language": "python",
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "version": "3.6.4",
      "file_extension": ".py",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "name": "python",
      "mimetype": "text/x-python"
    },
    "colab": {
      "name": "Object-Recognition_with_CNN.ipynb",
      "provenance": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/AhmedHefnawy/object-detection-with-CNN/blob/master/Object_detection_with_CNN.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YEssy7ic938n",
        "colab_type": "text"
      },
      "source": [
        "### define the problem\n",
        "Fashion training set consists of 70,000 images > \n",
        "\n",
        "divided into 60,000 training and \n",
        "\n",
        "10,000 testing samples. \n",
        "\n",
        "Dataset sample consists of 28x28 grayscale image, associated with a label from 10 classes.\n",
        "\n",
        "The 10 classes are as follows:\n",
        "- 0 => T-shirt/top \n",
        "- 1 => Trouser \n",
        "- 2 => Pullover \n",
        "- 3 => Dress \n",
        "- 4 => Coat \n",
        "- 5 => Sandal \n",
        "- 6 => Shirt \n",
        "- 7 => Sneaker \n",
        "- 8 => Bag\n",
        "- 9 => Ankle boot\n",
        "\n",
        "Each image is 28 pixels in height and 28 pixels in width, for a total of 784 pixels in total. Each pixel has a single pixel-value associated with it, indicating the lightness or darkness of that pixel, with higher numbers meaning darker.\n",
        "\n",
        " pixel-value is an integer between 0 and 255."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ihKei49wIFNs",
        "colab_type": "text"
      },
      "source": [
        "### import libraries \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "g0H_Gr9k938r",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt \n",
        "import seaborn as sns\n",
        "import random\n",
        "\n",
        "%matplotlib inline\n",
        "sns.set_style(\"whitegrid\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "eZ1Fsic79381",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# dataframes creation for both training and testing datasets \n",
        "fashion_train_df = pd.read_csv('/content/fashion-mnist_train.csv',sep=',')\n",
        "fashion_test_df = pd.read_csv('/content/fashion-mnist_test.csv', sep = ',')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-rZNVfbn9387",
        "colab_type": "text"
      },
      "source": [
        "### VISUALIZATION OF THE DATASET  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "N0gl8pN79388",
        "colab_type": "code",
        "colab": {},
        "outputId": "6250638e-7c9e-4a49-d8be-44907c224025"
      },
      "source": [
        "\n",
        "fashion_train_df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   label  pixel1  pixel2  pixel3  pixel4  pixel5  pixel6  pixel7  pixel8  \\\n",
              "0      2       0       0       0       0       0       0       0       0   \n",
              "1      9       0       0       0       0       0       0       0       0   \n",
              "2      6       0       0       0       0       0       0       0       5   \n",
              "3      0       0       0       0       1       2       0       0       0   \n",
              "4      3       0       0       0       0       0       0       0       0   \n",
              "\n",
              "   pixel9  ...  pixel775  pixel776  pixel777  pixel778  pixel779  pixel780  \\\n",
              "0       0  ...         0         0         0         0         0         0   \n",
              "1       0  ...         0         0         0         0         0         0   \n",
              "2       0  ...         0         0         0        30        43         0   \n",
              "3       0  ...         3         0         0         0         0         1   \n",
              "4       0  ...         0         0         0         0         0         0   \n",
              "\n",
              "   pixel781  pixel782  pixel783  pixel784  \n",
              "0         0         0         0         0  \n",
              "1         0         0         0         0  \n",
              "2         0         0         0         0  \n",
              "3         0         0         0         0  \n",
              "4         0         0         0         0  \n",
              "\n",
              "[5 rows x 785 columns]"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>label</th>\n",
              "      <th>pixel1</th>\n",
              "      <th>pixel2</th>\n",
              "      <th>pixel3</th>\n",
              "      <th>pixel4</th>\n",
              "      <th>pixel5</th>\n",
              "      <th>pixel6</th>\n",
              "      <th>pixel7</th>\n",
              "      <th>pixel8</th>\n",
              "      <th>pixel9</th>\n",
              "      <th>...</th>\n",
              "      <th>pixel775</th>\n",
              "      <th>pixel776</th>\n",
              "      <th>pixel777</th>\n",
              "      <th>pixel778</th>\n",
              "      <th>pixel779</th>\n",
              "      <th>pixel780</th>\n",
              "      <th>pixel781</th>\n",
              "      <th>pixel782</th>\n",
              "      <th>pixel783</th>\n",
              "      <th>pixel784</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>30</td>\n",
              "      <td>43</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 785 columns</p>\n",
              "</div>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "d4uDe_nk939G",
        "colab_type": "code",
        "colab": {},
        "outputId": "580c00fb-bfdd-40d6-9064-a09dde787c14"
      },
      "source": [
        "# Let's view the last elements in the training dataset\n",
        "fashion_train_df.tail()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       label  pixel1  pixel2  pixel3  pixel4  pixel5  pixel6  pixel7  pixel8  \\\n",
              "59995      9       0       0       0       0       0       0       0       0   \n",
              "59996      1       0       0       0       0       0       0       0       0   \n",
              "59997      8       0       0       0       0       0       0       0       0   \n",
              "59998      8       0       0       0       0       0       0       0       0   \n",
              "59999      7       0       0       0       0       0       0       0       0   \n",
              "\n",
              "       pixel9  ...  pixel775  pixel776  pixel777  pixel778  pixel779  \\\n",
              "59995       0  ...         0         0         0         0         0   \n",
              "59996       0  ...        73         0         0         0         0   \n",
              "59997       0  ...       160       162       163       135        94   \n",
              "59998       0  ...         0         0         0         0         0   \n",
              "59999       0  ...         0         0         0         0         0   \n",
              "\n",
              "       pixel780  pixel781  pixel782  pixel783  pixel784  \n",
              "59995         0         0         0         0         0  \n",
              "59996         0         0         0         0         0  \n",
              "59997         0         0         0         0         0  \n",
              "59998         0         0         0         0         0  \n",
              "59999         0         0         0         0         0  \n",
              "\n",
              "[5 rows x 785 columns]"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>label</th>\n",
              "      <th>pixel1</th>\n",
              "      <th>pixel2</th>\n",
              "      <th>pixel3</th>\n",
              "      <th>pixel4</th>\n",
              "      <th>pixel5</th>\n",
              "      <th>pixel6</th>\n",
              "      <th>pixel7</th>\n",
              "      <th>pixel8</th>\n",
              "      <th>pixel9</th>\n",
              "      <th>...</th>\n",
              "      <th>pixel775</th>\n",
              "      <th>pixel776</th>\n",
              "      <th>pixel777</th>\n",
              "      <th>pixel778</th>\n",
              "      <th>pixel779</th>\n",
              "      <th>pixel780</th>\n",
              "      <th>pixel781</th>\n",
              "      <th>pixel782</th>\n",
              "      <th>pixel783</th>\n",
              "      <th>pixel784</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>59995</th>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59996</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>73</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59997</th>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>160</td>\n",
              "      <td>162</td>\n",
              "      <td>163</td>\n",
              "      <td>135</td>\n",
              "      <td>94</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59998</th>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59999</th>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 785 columns</p>\n",
              "</div>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "thkOus1n939n",
        "colab_type": "code",
        "colab": {},
        "outputId": "e21432be-d2b3-4b60-98c0-340c5fa1bc15"
      },
      "source": [
        "# Let's view the head of the testing dataset\n",
        "fashion_test_df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   label  pixel1  pixel2  pixel3  pixel4  pixel5  pixel6  pixel7  pixel8  \\\n",
              "0      0       0       0       0       0       0       0       0       9   \n",
              "1      1       0       0       0       0       0       0       0       0   \n",
              "2      2       0       0       0       0       0       0      14      53   \n",
              "3      2       0       0       0       0       0       0       0       0   \n",
              "4      3       0       0       0       0       0       0       0       0   \n",
              "\n",
              "   pixel9  ...  pixel775  pixel776  pixel777  pixel778  pixel779  pixel780  \\\n",
              "0       8  ...       103        87        56         0         0         0   \n",
              "1       0  ...        34         0         0         0         0         0   \n",
              "2      99  ...         0         0         0         0        63        53   \n",
              "3       0  ...       137       126       140         0       133       224   \n",
              "4       0  ...         0         0         0         0         0         0   \n",
              "\n",
              "   pixel781  pixel782  pixel783  pixel784  \n",
              "0         0         0         0         0  \n",
              "1         0         0         0         0  \n",
              "2        31         0         0         0  \n",
              "3       222        56         0         0  \n",
              "4         0         0         0         0  \n",
              "\n",
              "[5 rows x 785 columns]"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>label</th>\n",
              "      <th>pixel1</th>\n",
              "      <th>pixel2</th>\n",
              "      <th>pixel3</th>\n",
              "      <th>pixel4</th>\n",
              "      <th>pixel5</th>\n",
              "      <th>pixel6</th>\n",
              "      <th>pixel7</th>\n",
              "      <th>pixel8</th>\n",
              "      <th>pixel9</th>\n",
              "      <th>...</th>\n",
              "      <th>pixel775</th>\n",
              "      <th>pixel776</th>\n",
              "      <th>pixel777</th>\n",
              "      <th>pixel778</th>\n",
              "      <th>pixel779</th>\n",
              "      <th>pixel780</th>\n",
              "      <th>pixel781</th>\n",
              "      <th>pixel782</th>\n",
              "      <th>pixel783</th>\n",
              "      <th>pixel784</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>...</td>\n",
              "      <td>103</td>\n",
              "      <td>87</td>\n",
              "      <td>56</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>53</td>\n",
              "      <td>99</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>63</td>\n",
              "      <td>53</td>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>137</td>\n",
              "      <td>126</td>\n",
              "      <td>140</td>\n",
              "      <td>0</td>\n",
              "      <td>133</td>\n",
              "      <td>224</td>\n",
              "      <td>222</td>\n",
              "      <td>56</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 785 columns</p>\n",
              "</div>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "m7NlqVGf939u",
        "colab_type": "code",
        "colab": {},
        "outputId": "1b7eff76-9ddd-4955-af84-0e676b8483cd"
      },
      "source": [
        "# Let's view the last elements in the testing dataset\n",
        "fashion_test_df.tail()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      label  pixel1  pixel2  pixel3  pixel4  pixel5  pixel6  pixel7  pixel8  \\\n",
              "9995      0       0       0       0       0       0       0       0       0   \n",
              "9996      6       0       0       0       0       0       0       0       0   \n",
              "9997      8       0       0       0       0       0       0       0       0   \n",
              "9998      8       0       1       3       0       0       0       0       0   \n",
              "9999      1       0       0       0       0       0       0       0     140   \n",
              "\n",
              "      pixel9  ...  pixel775  pixel776  pixel777  pixel778  pixel779  pixel780  \\\n",
              "9995       0  ...        32        23        14        20         0         0   \n",
              "9996       0  ...         0         0         0         2        52        23   \n",
              "9997       0  ...       175       172       172       182       199       222   \n",
              "9998       0  ...         0         0         0         0         0         1   \n",
              "9999     119  ...       111        95        75        44         1         0   \n",
              "\n",
              "      pixel781  pixel782  pixel783  pixel784  \n",
              "9995         1         0         0         0  \n",
              "9996        28         0         0         0  \n",
              "9997        42         0         1         0  \n",
              "9998         0         0         0         0  \n",
              "9999         0         0         0         0  \n",
              "\n",
              "[5 rows x 785 columns]"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>label</th>\n",
              "      <th>pixel1</th>\n",
              "      <th>pixel2</th>\n",
              "      <th>pixel3</th>\n",
              "      <th>pixel4</th>\n",
              "      <th>pixel5</th>\n",
              "      <th>pixel6</th>\n",
              "      <th>pixel7</th>\n",
              "      <th>pixel8</th>\n",
              "      <th>pixel9</th>\n",
              "      <th>...</th>\n",
              "      <th>pixel775</th>\n",
              "      <th>pixel776</th>\n",
              "      <th>pixel777</th>\n",
              "      <th>pixel778</th>\n",
              "      <th>pixel779</th>\n",
              "      <th>pixel780</th>\n",
              "      <th>pixel781</th>\n",
              "      <th>pixel782</th>\n",
              "      <th>pixel783</th>\n",
              "      <th>pixel784</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>9995</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>32</td>\n",
              "      <td>23</td>\n",
              "      <td>14</td>\n",
              "      <td>20</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9996</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>52</td>\n",
              "      <td>23</td>\n",
              "      <td>28</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9997</th>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>175</td>\n",
              "      <td>172</td>\n",
              "      <td>172</td>\n",
              "      <td>182</td>\n",
              "      <td>199</td>\n",
              "      <td>222</td>\n",
              "      <td>42</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9998</th>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9999</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>140</td>\n",
              "      <td>119</td>\n",
              "      <td>...</td>\n",
              "      <td>111</td>\n",
              "      <td>95</td>\n",
              "      <td>75</td>\n",
              "      <td>44</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 785 columns</p>\n",
              "</div>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "Nyx4xXSM9391",
        "colab_type": "code",
        "colab": {},
        "outputId": "5586d48b-eb39-435d-f10b-1d738fb28297"
      },
      "source": [
        "fashion_train_df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(60000, 785)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "0K6HxtpO9397",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Create training and testing arrays\n",
        "train = np.array(fashion_train_df, dtype = 'float32')\n",
        "test = np.array(fashion_test_df, dtype='float32')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "wr9kGmcf93-A",
        "colab_type": "code",
        "colab": {},
        "outputId": "a864bccb-bcb9-459f-d317-602823cecfa9"
      },
      "source": [
        "train.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(60000, 785)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "E6OrA8bA93-N",
        "colab_type": "code",
        "colab": {},
        "outputId": "3c4eadac-bef8-416b-d054-3ea36ebe22a8"
      },
      "source": [
        "train"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[2., 0., 0., ..., 0., 0., 0.],\n",
              "       [9., 0., 0., ..., 0., 0., 0.],\n",
              "       [6., 0., 0., ..., 0., 0., 0.],\n",
              "       ...,\n",
              "       [8., 0., 0., ..., 0., 0., 0.],\n",
              "       [8., 0., 0., ..., 0., 0., 0.],\n",
              "       [7., 0., 0., ..., 0., 0., 0.]], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "2H5QonX393-Y",
        "colab_type": "code",
        "colab": {},
        "outputId": "ac059e37-c4a0-4961-eb99-e5001ebbfe2b"
      },
      "source": [
        "test"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0., 0., 0., ..., 0., 0., 0.],\n",
              "       [1., 0., 0., ..., 0., 0., 0.],\n",
              "       [2., 0., 0., ..., 0., 0., 0.],\n",
              "       ...,\n",
              "       [8., 0., 0., ..., 0., 1., 0.],\n",
              "       [8., 0., 1., ..., 0., 0., 0.],\n",
              "       [1., 0., 0., ..., 0., 0., 0.]], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "KU9JMDZd93-h",
        "colab_type": "code",
        "colab": {},
        "outputId": "4acfb0cf-20d8-45b1-a28a-06a1677d28d3"
      },
      "source": [
        "class_names = ['T_shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat', \n",
        "               'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']\n",
        "\n",
        "# Let's view some images!\n",
        "i = random.randint(1,60000) # select any random index from 1 to 60,000\n",
        "plt.imshow(train[i,1:].reshape((28,28))) # reshape and plot the image\n",
        "\n",
        "plt.imshow(train[i,1:].reshape((28,28)) , cmap = 'gray') # reshape and plot the image\n",
        "label_index = fashion_train_df[\"label\"][i]\n",
        "plt.title(f\"{class_names[label_index]}\")\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Shirt')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "Y8I2EzPa93-s",
        "colab_type": "code",
        "colab": {},
        "outputId": "9540cdd2-6ca4-4b9a-a2cd-7a07079231fa"
      },
      "source": [
        "label = train[i,0]\n",
        "label"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MXEexTDWHxFc",
        "colab_type": "text"
      },
      "source": [
        "- View multiple images"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "J3r_zEjm93-y",
        "colab_type": "code",
        "colab": {},
        "outputId": "240cc38c-240e-4ba6-ae4b-3e8bac319e4f"
      },
      "source": [
        "\n",
        "W_grid = 15\n",
        "L_grid = 15\n",
        "\n",
        "\n",
        "fig, axes = plt.subplots(L_grid, W_grid, figsize = (17,17))\n",
        "\n",
        "axes = axes.ravel() # flaten the 15 x 15 matrix into 225 array\n",
        "\n",
        "n_train = len(train) # get the length of the train dataset\n",
        "\n",
        "# Select a random number from 0 to n_train\n",
        "for i in np.arange(0, W_grid * L_grid): # create evenly spaces variables \n",
        "\n",
        "    # Select a random number\n",
        "    index = np.random.randint(0, n_train)\n",
        "    # read and display an image with the selected index    \n",
        "    axes[i].imshow( train[index,1:].reshape((28,28)) )\n",
        "    label_index = int(train[index,0])\n",
        "    axes[i].set_title(class_names[label_index], fontsize = 8)\n",
        "    axes[i].axis('off')\n",
        "\n",
        "plt.subplots_adjust(hspace=0.4)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1224x1224 with 225 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "trusted": true,
        "id": "kDwpxJa-93-5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Prepare the training and testing dataset \n",
        "X_train = train[:, 1:] / 255\n",
        "y_train = train[:, 0]\n",
        "\n",
        "X_test = test[:, 1:] / 255\n",
        "y_test = test[:,0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "Wd63F_hC93--",
        "colab_type": "code",
        "colab": {},
        "outputId": "1d734487-c735-4dda-faf6-0579068d50a2"
      },
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "for i in range(25):\n",
        "    plt.subplot(5, 5, i + 1)\n",
        "    plt.xticks([])\n",
        "    plt.yticks([])\n",
        "    plt.grid(False)\n",
        "    plt.imshow(X_train[i].reshape((28,28)), cmap=plt.cm.binary)\n",
        "    label_index = int(y_train[i])\n",
        "    plt.title(class_names[label_index])\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 25 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkAAAAJBCAYAAACuxgqTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzsvXm8XdP9//9KDTGEkAiZExJZEkEqIrQxq5jpzxizLz5FUbSfmmtoaPXTiqk6oIZSc0oNUURDqKSEBBFLiUSITIhEBmN+f+x9132tt7v3PffmDuec/Xo+Hnnkfe5aZ5919hr2Ou9ptVmxYgWEEEIIIYrEd1q7AUIIIYQQLY02QEIIIYQoHNoACSGEEKJwaAMkhBBCiMKhDZAQQgghCoc2QEIIIYQoHBW/AXLO9XbOrXDOrZq+HuecO7G12yXySfusb0PL6rnmcc6551a+daKpqa9vnHNjnHPHtmSbRP3Y9bWO8vOdcze1dLuEaArqHNSthXNuBoCNAHwNYAmAxwCc7r3/rBWbJXJwzo0DsBWAzt77z1u5Oc2Cc25nAHd477u3dlvKHefcMAC/AbA5knk8DcCZ9b3Pe79XPdc9DsCJ3vthTdDMqsU5x2vlWgA+R9IPAPAj7/2dTfl53vsr6mlPbwDvAljNe/+VKfszgJcAfAH1bZNDz9OvkIyBNwDcDuDP3vtvWq9l5UM5aoD28963A7A1gCEALmzl9tSLc26V1m5Da5AubjsAWAFg/9ZtjWhtnHPrAngEwHUAOgDoBuBSJA/hlbluWf1QK2e89+1q/gF4D+l6mv5r0s1PfZTQb3si+ZErmo/9vPfrAOgF4NcAzgFwc10Vi/gcK9uFxXv/gXNuDICB6U72RO/9UwDgnLsEQF/v/VF513DOfQfA+QBOArAmgMeRaJQ+dc49DuAR7/31VH8KgEu996Odc5shWcgHA5gP4CLv/b1pvVsBLEMyqHYCcACAp5roq1cSxwCYAGAigGMB3FdTkN6jJQB6A9gRya+PI7z379iLpFqDuwAc473/lylrC+ByAIcCaAvg7wDO8t4vy2hTG+fcdWnbPgTwY+/92PRaXQH8EcAwAB8DuNJ7fyN9zpXp5wDAvUgWi1UBjAHQln5d9/Pez67/9hSOfgDgvb8rfb0MwBMA4JzbOv3/twBOALAQwKne+zHp38ch0bLdlGp7TgLwHyTj6l8A9gGwWtoHX3nv12uh71QInHPbArgBSR8uA3Cn9/5sqnKkc+6XSLRKo7z3l6fvuwTpWkzanhMBXAxgBpL5DwALnXMA8APv/QvOuS2RjIF1kMzJqG+dc+2RrL97AVgK4EYAV3jvv6Hx8TLqmOfi23jvPwXwD+fcHAATnHO/A/AzmOeYc248MtZb59wGAG5Fsn5+A2AqgJ3SPjkHwBkA1gUwG8ncLvv+KEcNEADAOdcDwN4AXlmJyxyX/tsFwCYA2gGo2fD8DcAI+rwBSAbCo865tQE8mdbZMK13g3Nuc7r2EUgGyjoAiup3cgyAO9N/w51zG5nyEUg0AOsDeBvJ/Ypwzg1Hsvk5yG5+Uq5EsigPAtAXiVbhFzltGgpgOoANkCzCo51zHdKyuwC8D6ArgIMBXOGc2y0tuwDAdunnbAVgWwAXeu+XIFmEZ9MvaW1+6uYtAF87525zzu3lnFvflA8F4JH0zW8A3Oyca5NxrZp+3BDAUQBOBvBCev+1+Wl6rgFwjfd+XQB9kPwAYIYBcAB2A/AL51z/nGvtBKA/gOFIfvwAwHpp372Qvt4bwKPe+2mou2+vA9Aeybq9E5K15nj6jLx5LjLw3v8HyRq4Q/on+xzLW29/mr63ExLT2vkAVrhkZ3sagCGptmk4ks1v2VOOG6AHnXMLkXTGMwBybcz1cCSAq7z301M/ovMAHJ6qZv8OYJBzrhfVHZ36sewLYIb3/hbv/Vfe+5cBPIDkoVnDQ977573333jvl69EGyuSVGvTC8C93vtJAN5BMpmY0d77/6S2/zuRTCrmEAB/BrB3OjHtZ7RB8kvvLO/9x977xUjGw+E5TZsH4Grv/Zfe+3uQPHD3STfUwwCc471f7r2fDOAmAEen7zsSwGXe+3ne+/lINm5H13F9kYH3fhGSe7wCyS/2+c65f9DGeKb3/kbv/dcAbgPQBclCWhezvffXpfMvS9snmo4vAfR1zm3gvf/Mez/BlF/qvV/mvZ8CYAqSHwlZXOK9X1JPv+2DDPNXaoo5DMB53vvF3vsZAH6HeD7WOc/zvqAIzEZiogboOYbEVJ233n6JZM72Su/7eO/9CiT+RW0BDHDOrea9n1GXpr8cKccN0IHe+/W8972896eu5OLXFcBMej0TiUljo7RzH0Vt5x6O5CENJA/2oc65hTX/kDwgO9O1Zq1Eu6qBYwE84b1fkL7+W/o3Zg7JS5Fo4JgzkWygXsv4jE5IVO6TqB8eT/+exQfppKxhJpJx0BVAzaTmsm6pXNdY6ZrzOaIOvPfTvPfHpQ7jA5Hcw6vT4jlUb2kq2jFRQ9HnV0tzApJf/m865150zu1ryuuby0xu3znn1gOwGYB/Z1TZAMDq+PZ87Eavs+a5qJ9uSFwAgLiv6ltv/w+JJv8J59x059y5AOC9fxvJWn4JgHnOubtTd4Oyp2x9gAxLkHRMDZ2zKhpmI9nM1NATiUf83PT1XQAuds49i8RHqMYEMwvAM977H+Rce0VOWVXjnFsTiY14ldSmDCS/ANZzzm2V/koshUOQmEE+8N5fXUf5AiQ26s299x+UeM1uzrk2tDj2BPAPpL96nHPr0CaoJ4Ca69aMlalUVmPqKmxfrwze+zdTX7AfAfhnA99u77n6oBnx3v8XwIjUb/L/A3C/c65jIy+3IkOuYTiAsakmsK46C5BoG3oh8R0E4rkKZM9zkYNzbgiSDdBzSMyIfO9z19t03fwpgJ+m7iD/cs696L0f673/G4C/pYEQf0JiSit7DXo5aoDqYjIS09VqzrltEJui8rgLwFnOuY2dc+2QqPPu8bXhmI8hmWSXpX+vCQ18BEA/59zR6Weu5pwbUo/du0gciETtOQCJWWsQEpv/eCS2+lKZjcSn4Azn3Km2MO2PGwGMcs5tCADOuW6p31AWG6bXW805d0jarse897OQ/OL8lXNujdQJ8wTUav3uAnChc65T6uz3CwB3pGVzAXRMHTNFBs65zZxzP3XOdU9f90DiB2bNKY1hLoDuzrnVm+BawuCcO8o51ymdcwvTP3+d954SmY/EYXYT+ps1f0V9m26M7gVwuXNundRN4WzUzkcgY543QXurEufcuqlW724kwQbf0rrXt9465/Z1zvVNXRMWIRkfX7uEXdNAkuVINlFNMXaanUrZAF2ExDHvEyS+GX8r8X1/AfBXAM8iiU5YDuD0msLU32c0gN35mulOdw8kZrHZSNS/VyLRcojE1HWL9/497/2cmn9IHMyPdA0IW/bev4dkE3SOqzuB5TlI1K4TnHOLkETbuZxLTgSwKZJfM5cDONh7/1FaNgJJVMpsJD5gF3vvn0zLRiLJSfIqgNeQRJiMTNv4JpIN0vRUNVwR6t1WYDGSX5UTnXNLkGx8Xkfyq3FleRqJdm6Oc25BfZVFg9kTwNQ0EusaAIc3hW9jauq8HMDz6dzZHsAPkJhWaqirb09HovmfjkRb8Tck63kNefNc1PKwc24xEqvGBQCuQuxMbslbbzdNX38G4AUAN3jvxyF5Lv4aSV/MQbI5Pb/Jv0kz0GbFCmmWhRBCND8uCbe/3nu/7Upc4zgocaJoAipFAySEEKI6uLi1GyAEUDlO0EIIIVYClySW3aGOoit8PUdaNBV1pbsQorWQCUwIIYQQhUMmMCGEEEIUDm2AhBBCCFE4GuQDNHny5BVt2yoSvCX5/PPPMWjQoKzzkhqN+rJ1WLp06YLBgwfnZbJuFM3Zn9ZM3qZNacNx/vz5Qf7Od+LfWt98802Q+fq23uef1x4k361bN2SRZcovta2NoZzmZmP7KI+5c+cGedGiRUFed911o3rt2tUmhV599do0TUuXLo3qffHFF0FevLg2IbttK/czX6+5aY65We7r7LJl8UELa665ZpC/+uqrINu+tGOg3Ci1Lxu0AWrbti3691cuwJZk2rRpzXJd9WXrMGnSpJn112o4zdmfX375ZfR6tdVWK+l948aNC/I666wTlfHCy5ucNdZYI6o3Y8aMII8cOTLzs3hDxfKqq8ZLHG8UVnaT0Npzk7+L3QDZjWRjGDNmTJCffPLJIA8fHuch3X777YO80Ua1R7u98kp8jvV7770XZB4bdpPD/dy9e/eS2toUG8DmmJvlvs6++uqr0WtuK/+AmTIlTu4/dOjQ5m3YSlJqXyoKTAiRS6kbHgA49dTahN4PP/xwkNdbLz7AfbPNNgvyggW1eQ3tgsy/SHnD8cADD0T1+IHfFA//SqAxD/k5c+ZEr4888sggd+0a5/fcY489grzVVrVnn9qN34QJtYm+77vvviAfcMABUb1+/frV2aaePXtGr2+99dYg8+Z4l112iertuuuuQbb3oik3upXChx9+GORjjokT8n/9dW1i5qeffjrIvMkFgEsuuSTI//rXv4J88cVx5oLdd989yNwPto8uuuiiUpreahRjpRBCCCGEILQBEkIIIUTh0AZICCGEEIVDPkBCiFwmT54cvf7DH/4QZPb/AGLfC/bz+eyzz6J6PXr0CDI7SH/88cdRPfYPmT17dpDZ2RYAjj322CCz/8PAgQOjetXkD8LO3tbviaN2TjvttCD/+9//zqz30UfxWaKdOtUG0ey7775Bts7N77zzTpA33HDDIC9cuDCq99xzzwWZfVLYzwcAXn755SD/9Ke15+jedNNNUb2f/OQnQX7ttfhw82rq5yw4Mg8AdtxxxyDbwAWeY3fccUeQd9ttt6je9ddfH+T27dsH+dNPP43q8TU4um/UqFFRvSVLlgT517/+dR3fonWRBkgIIYQQhUMbICGEEEIUjmY3gXEyJeDbeTkaw7PPPhtkVnWyyh0Ali9fHmTONfH+++9H9Th0c5999gnyDjvUdW6gENUPq6v/8pe/RGWrrLJKkG3eHn7NZi8bfs0h8rwm2IRrHTt2DDKbV+w68s9//jPIY8eODTKH6ALA//3f/wW5OZIHtiR54f5synjhhReCPGDAgKger4vf//73o7I777wzyB06dAgymyKBJNdNDZyewJph+H1sVrXrNqdd4NxBnTt3jurNmjUryCeccEJUdvPNN6PaYTMUEKeT2HTTTaMyfg5feOGFQbZzYK211qqzjFMT2Ot16dIlyL169YrqjR49OsgygQkhhBBClAHaAAkhhBCicDS7CaxUk9fdd98dvWZv8g8++CAqYxU8q0h/+9vfRvWGDBkS5EcffTTIv/nNb6J6G2ywQZDvueeeIHMafgA499xzg/yrX/3q219CiCqB5yObP4DY9GJN3FlnQdlM0JxmnyO/tt5666gem7HZpMYZooHYVMYRYnzkAhCvJXlni1UanAUYiM/xuuaaa4JsTYx9+/YNsl1nTz755CDzmmvrsWnyZz/7WZDtcQl9+vSps8xGn/HRGmxSYVMeEI/DSZMmRWUcmdSS54m1JBxVZ7ERYmze7d27d5DZ5AXEpmp+D5u5gDhyj/vPmtT4zDeO1Ntiiy0y296SSAMkhBBCiMKhDZAQQgghCoc2QEIIIYQoHC2eCXrKlClBZns/2/CBOISSM1ICsf2fQyh/97vfRfXOP//8IE+dOjXIgwYNiuqxn8GyZcuCbMMur7rqqiBzSJ89wbpc7JuVjLUlM40JV/773/8evR42bFiQOeNtXmh0pYdN18ddd90VZJ4HNtSd7frsQwLEGWM526+9BvsetGvXLsjrrrtuVI99T9ivw2YP5vZ+8sknQbY+iLfffnuQzzvvPFQLNjvziy++GOSNN944yG+99VZUj1Mc2HvK9/6UU04J8vTp06N6nHaA+9n6UM6cOTPI48ePD7L1MWMOP/zwIPMaDsT9bFMCcDj+iBEjMq9fyUycODF6zWOd7w0QP1/ZP4jnDRCvhby+cYi9LePPsmskv+as8eXyjJQGSAghhBCFQxsgIYQQQhSOJjOBsaorzzTAKk0+6JAPawPi8FobusmvWeVqQ2NPP/30IHOoplWzs6qes5ra78Fhsxy6u+WWW0b18sw3pd6nItLU94ZVvVdeeWVUxqGgWWpfS7X310svvRRknn82oy+Ho9tDTnk+cvgxm5mB+F6y+cJmaWczDM8/a55m80oe06ZNK6lepcEH1AKxyeK2224LcteuXaN6fPCoNWfyfORs+TabNJswOfze9gn3GYfBO+eierwGs8uEDe3m99m5acdHNWJNjPxcs89Tnqc8F/lAXSCes7wGcL8CsbmU77U1Ob/77rtB5jQGJ510EsoBaYCEEEIIUTi0ARJCCCFE4WiwCaxGLWpVjlnmgUsuuSR6zao0zvJpvdaZ9ddfP3rNnuv8uWuvvXZUb6uttgoym7mWLFkS1WPVIZdZkxqrEXv06BFkG4Fw6qmnBvmGG26IyqrdjFIXrGZt7PdvjHnstNNOC7LNRMyHYl577bVB5qzg9nMt/L24HpttGtLe1oazCfN3sOO7e/fumWVspuBIL45EAuJoMf5cNosD8b3jKDBrluMDNFm2c5gzUFcT9n7wOH777beDzPcQALbZZpsgWzPHHnvsEWSOFrN9fvDBB9d5jX333Teqx5Fqm2yySZDZHA3EY4APTeXDT209a25jVwv7vSoZfvbZ7MwcnWlNTBzBzM9Ju1bxc5ifmRY2se64445BtiZWNjm/+eabmddrLaQBEkIIIUTh0AZICCGEEIVDGyAhhBBCFI4G+wDV2ORt+Jy1C9fA/hVAnNWZw/Gsnw/bH619mz+LQybzQm3ZR8NmpeXvwmF81v+Ds2nyNazfCIek2vBrDk/kz826f9VAqd+N73fe+Mq7b5yhm/09rG8JZ8pl3y7bl/a0c4Z9TaqB9957L8jsG2DnFd8T61PC94R9gObNmxfV477hz2I/BiD23eK+tr48vEbw9ew4WrhwIaoFzupsw495PeV7yOulrcc+k0Dso8nZ89n/EQAGDx4cZM6Kb7Ovsz/kmDFj6mwDEKcs2XnnnYPM4xOIw6qtL4v1RakW3njjjSDbtYnn4pFHHhmV3XTTTUHmOWZPYLD+sTXYccNzkf3+Bg4cGNXjNtq5WA5U71NXCCGEECIDbYCEEEIIUTganQk6z0TBWUNZDQ7EJiBWrVsVG6virHqX1exsvrAmiazwY2vaYjUdf5Z9v81IndU+zox5zDHHRGWsFq5ms1dj4H6x94ZNoqzufuSRR6J6v//974PMYbicrRYAvvvd7wbZhuEypZq5nn766SBvvvnmUdlGG21U0jVaGzYP8fy2Zimew/YwRTZx83zhDLNAbELmdcCq9bksK8u0bS9/DxvKa9tbyfDYtyYfHu9sHvzvf/8b1WNzVv/+/aMyXpMvvvjiINu1nzOI83pnU5twKP24ceOCbPv86quvDjKvwWz+AeLM1datgeFQensQdqXBJxBY1xCeK5xmAIj7klNQWLLcRuyzkD+bx9CQIUOienyNvM9tLfQEFkIIIUTh0AZICCGEEIVDGyAhhBBCFI5G+wBZvxfmwgsvzKzHtkNOyW3DadnGb0+c5tTmebZftvezbP06snyA8kJL+XtYnyKuN3HixKiMU7ZzmKm1g+fd30ojz5ac5/fDsN8P31M+7gIAdtlllyDz2OjQoUNUj312OBT06KOPjupdcMEFQebQeSD2NeEw08ceeyzjW5Q37HfH986OTS6zY5/7kOecrceh2ezbwT5E9hqdOnUKsvUv4XHFJ1Xbuc7+K/ZoBRveXe4cd9xxQb7uuuuiMvY15GMLrH/a1KlTg2xTllx//fVB5jE9evToqB6fDs++R88991xUj8cA95Ht8zvuuCPI7L/DfntAfIyH9bPLOw6lkmF/PBuynvcs5PfZlAFZ8Jyy7+G+5ND34cOHZ16D5/JHH30U1bPh+C2FNEBCCCGEKBzaAAkhhBCicDTZafCcmZXD8Thk9lsfTmYem22Ws0vaMOX9998/yKyae/7556N6HPLIIbnWHMKmuOnTpweZT1EG4lOrWYVvQ2s55NCGjJ5xxhlBfuihh4JcTSYvS1ZopS3Lg80kBx10UJB33333qB6r4LmfX3vttageh5Oy6eMf//hHVO9Pf/pTkDnsFgA23XTTIDvngpynii5neA7zPWFzBRCbxGyYOb9mE6/N4ssmCz7V2pqsOI3G7Nmzg2znXFZ6DTuveL2wYbmVZgLj8c1h6vb1+++/H+Tu3btH9dh8YVNF8FzgUHde+4B43eX+t+ssr+Mcjv+LX/wiqsft9d4HedKkSSg6c+bMCbINg992220z38cmJzY32edTY8xjbGK18FxkmU+JB4Bhw4aV9LlNjTRAQgghhCgc2gAJIYQQonA0+jBUC5sK2MyRF3HFkV+2HqtS+/TpE5VxNAB7t7/88stRPfb+54P+7EGKrFpnlbmNTmDVLH9Hm5WWv4tVF7NamdtuTYXWVNRa5B1QyurSvEivrCzOQGzK4P7iSD8A2G233YK80047BdneN1bxv/7660EeP358VI8PPWWTpVXb8xjgKCQgHpczZswIslXv2gy75QqbgtnsZc1cbLJiszAQq+VZXW/HBJu4eT5aMwyPOTaH2czxvJawKYtNnZZqOhg1D2v2Ynh92mOPPaKyQw89NMh8yDC7CQDADjvsEGSOArTX44gz7pcnn3wyqjdixIgg52VpZ+wYzTK7l2riKVf4GWSxUXIMz0vu87zDnhlbj9fP22+/PciXXnppVI/7geeojcBsLaQBEkIIIUTh0AZICCGEEIVDGyAhhBBCFI4mi73+85//HGS2z1vfnjxfEYZ9AdhHBwDGjh1b52fZcF32y+BrWHsm+yCwjZj9FOxncUifzWDM9lb7/TfccMMgn3feeUHmrKtA6eHhzU1eNtCsennYe89+P+yTYf0HttxyyyCzj4f1y+FTpjn03fr2cJ9xigT7PdhXwdrYeYxymOkTTzwR1StXHyDrA8OvuV9sWD/fL5u+IiuDdN74YD8f62fGn8X3Oy/DPPeZHW98vQ8++CCzTZVOqesszyvOugzEYdUcqn7bbbdF9V555ZUgs1+c9VfhNnEW4zFjxkT11l133SCzX1petny7BpfL+tnUsO+M9RPt3LlzkH/3u99FZXw/8tLP8H1k2fpYcSj9m2++GeT//Oc/UT32veW0MvaEBPb7akmkARJCCCFE4dAGSAghhBCFo9EmMJtZl9VxrMLkUG8gVr+xycpmtWSV3ZQpU6KyV199Nciscreqej54lMOtbQgtm6ny1H6snmd1rA2DzzKVAbHq8Pe//32QrQmsJajpM2t24HvPcl69vFDTPNMZmzP5YFMbusuqei578MEHo3qcObZbt25BtuOL+5bHqzWLcPbn733ve1EZq/hZ9V8uKQzqg7PxAkDXrl3rrGfvHZuG7SHGnDaAM7FPmDAhsx15hyJzX3MYvG07m8fmzZsXZHvIYl5W8mqiVBMQ30deL4E4vJkz2Nv1jsfHu+++G2Rr2uLUFtznW2yxRVSP3RXYtJx3WHJjMxpXGpxKwI5fTjthT0XgsHV+JjWFqZDnpT1Qlw8t5j4pl6ze0gAJIYQQonBoAySEEEKIwtFoE9ioUaOi16xKY1WlNUux6YgjTazKksv44EQgVuGxGtCatjhLMF8/zxzC7bNtYpNdnvqcr2+jVVh9zBFM1gTG5qDmoqbPSlUXN1atzNEldty88MILQeaIAY5oAOIx8NhjjwWZsz0DwCabbBJkHidWbc8qc85mbLN/c9ZpmwGXTWB8vUcffTSqd+aZZ6Icsdm2s7CmYJ5n1izBdfkAW1uP7xebvawpg81Z66+/fpDtusKmLo7+tG3na9iM8EWE1202MwPxesf3ymb/5vt9/PHHB5kPCAZisxe7HVjTMkdysgtFngmsWqO+LGza4mckEB9KytHGQGyiz8vMXyq8trJ5jV0agG+PlXJDGiAhhBBCFA5tgIQQQghROLQBEkIIIUThaLQP0MMPPxy9Zn+WrHBxINtWa//OvjO2LCuLL4e6A7F9MyvDpa3Hbbc+Rfxd2D6eZ0e1vifsO8Q28csvvzyq1xI+QDV89tln0Wv+nnlZvT/99NMgcwbQW265JarHp6Nb2/Ree+0VZPadsj5WbN9+6623gsw+HUDsT8Ljxn5HHiu9evUK8jbbbJP5uTZzMt8P9ne47777ono2ZLtcsP4xnAKAfbCszxyPdzu/eW5xuLydw1l+P3xSNRD3E891O+fYRywvrJ6zRFt/oyJy9NFHB9lmVX/88ceDbNOeMD//+c+DzBmeOYUEEGdj5/7iTMJAPK++//3vBzkvE3Q1pzRgrN8Pk5clOi+9SynkzRX2x3vvvfeiMn5O2udpOSANkBBCCCEKhzZAQgghhCgcDTKBLVmyBC+99BKA2DQAxBlbWYVp1W2skmYVpg0X53pWBc/X5yy+Nusyq99KVXezqt6a1NicxepYbgMQmxKs2o+/V1ZYKFAbPmi/e1OxdOnSkGGbM/YCwK677hpkVp3aNnJoLN+PLl26RPV23nnnIFuTIPdRXpgrl22++eZBZnMYEJvleOxxqCYQh96yOt7eb/5cayJg8xuXWVV9Oap+gW/Pl6yDb625idXcG2+8cVTG/ctZfK1KntXmPA/s/c8yhVuTGmeL5/tvP5dNbDKBxWkobFoANk/z+m6z/XL2dU4BMWTIkKgem5rZLGyfEdttt12QH3jggSAfeuihUb1+/foFuSiZoPn5YddSNlPaNThr7uSlD8gzK2a5jdgM/twmdi/Ie6a3JNIACSGEEKJwaAMkhBBCiMLRIBPY4sWL8eKLLwKI1Y9ArI5js0YeeZFZrH6zKtKsbNJ8KJu9Jl/PqvayDvLM+1w+OPDHP/5xVI/NLeeee25Uxmph/lybMfOuu+4CAGy99dZoDpYvXx6iBmzkE6tP+R7Y+8FmH2sGZDh6x0Zj8bhhdaz9LI7A4oy1AwcOjOrx4XtsZrHRE2wqY5OONV+xeteaafm7sGramrx4PJRT9mEP2I04AAAgAElEQVRrAmPyMqLz97Pfh1Xg/D4bQcd9w+pvzq4NxNFonNndqtC5vZy9e/To0VE9NndaE3clY9e0UjMjs4mC5wQATJw4MchnnXVWkO36ztFibBbmuQjE442zhPNBtkA8Vjize56JvChRYHn3gJ8hpY4H+/dS7yOvz1mHiQNx5B+T9z1akvJohRBCCCFEC6INkBBCCCEKhzZAQgghhCgcDQ6Dr/EB4lOagdgOyP4WnHnV1mMbvD3dmW2E1veC7f18DVuPr8G+HHk+QGyntqF57NPAvgl/+tOfonqcAfcPf/hDVMYnJ/P1hg4dGtU7/PDDAXw73UBTsWzZMkydOhXAt+89+/Nw2LC127JvD/ezzb7L/WJ9cdgGzf2Q1+ec8dRmDubrcZtqvmsNPB7Yz8CODbZ15/kHcV/atudlb21NOGsvkN0X7HsDxD4bdo7w2Of7ZcNj+bP4Gvbe8T3mvrBj0fr/ZdXLm99FZMCAAUG22Z45u/mzzz4b5K5du0b1eA6yD9e7774b1dt0002DzL5C7du3z7weryXWfzAPHr/VdFJ83nexYfFZ72uK9A9ZYfB2TvFzMqs9rYk0QEIIIYQoHNoACSGEEKJwNMgE1q1bN4wcORLAt9WgEyZMCDIfjHn88cdH9TiL73nnnRdkG+7NoZbWLMHqN65nQ2PZ9MAqN6sWzzK32TDhrOyieVlH2eQFALvttluQTz755CAfcsghdb7fhqY2FV9++SXmzJkD4NuqajY1cEh8nz59onoc4sgh8ba/2BSSlxmc69m+ZNMKy2wOA+KMwHwNzm4NxH2eZ0bl9llTYdZ3ttcoF3WvxZr0WIXOY9qOQa5nzWNZpi1ryuWxw+3gvgVicyyPHTvG2AQ2bty4IFvzI/dhc2VZbw0aO8Y4a71dx3i+33bbbUG26QOOOuqoIE+fPj3IBx10UFSP1xk2Z9m+7NixY5A5UzVnDLfY71+uc6452XHHHYN81VVXRWWlmgSzzOCl1rMmsCzTdLn0jzRAQgghhCgc2gAJIYQQonA0yAS2xhprhMiAa665JrMeZ0nmA/AA4OKLLw4yq76tqizPBMawOj7P9MKUmoXSqoSzDkPlQwPrY+zYsSXXbU569+6NG2+8EQDw4IMPRmW//e1vgzx79uwg86GHQHx/WG1ts0LzfbNmRTZDsGp98eLFmW3nz+VDTQEEEy0AbL/99nW+B4j74dRTTw2yPdwz72BNPuwzy3wE5H+X1sRG1fCc476wUSM8fzgSEIjHAd87+1l8j9iMZscHq9TzMoXz+9hkZ7MMc5vKRQ3fHJRq8ujZs2eQv/vd70ZlPXr0CDKv6dasyNnt2ST917/+NarHLg9cj9sAxJnpuf9ttBhTLpmFm5u8vhw8eHCQrbkwK2K11MzPefeXr23dKbJobObypqYYo0YIIYQQgtAGSAghhBCFQxsgIYQQQhSOBvkArVixItj78myC1u+H2WyzzaLr1WBDKzlc1Z6unRdWzWRlf7b2R66X973YTsl21LzwzLz2ZV27vnY0NQceeGDma27/5MmTo3qc7uCxxx4L8rRp06J6nJHZhpKzzwj38/Dhw6N6++67b5Ct309jYHs5+yBYnxb2TbOnYGeddm7bZ0PFywX27wLi0HT+rnmh7nbcsk9XXgoB7mu+5/b+c5ZuTjtQk8Khhqz5aP3ROPt1NfuNlOpTwXOaszgDwHHHHRfkc889N8j2lHc+2X2XXXYJ8nbbbRfV4z7iz33ggQeiepweZNtttw3y22+/HdXbcMMNg1yU0+BLJc/HhvvBPp9KHTdZmaWtz125U70rgBBCCCFEBtoACSGEEKJwNMgE1qZNm0y1Mavc2ERlM0OOGDEiyEcccUSQOaQYiMNa8w7XZDnPjJSn7uYyVuHb63H4J2esHTZsWOa1W9O0VSpWDcoqUpbZbGRfn3LKKc3UunxKzeZrxyEfuPjkk082aZsqhTzzbNZhh/Z9NiSaxzebn+z85nQDPNdtf7Jp/MMPP8xsO6853F6bxZpNb+V6SG1TUKpZn++bNV0/9NBDQebM///85z+jepwCgjP9v/XWW1E9NmFx/9kDjcePH19nmy688MKoHpuam+KAz2rCrnd56TwaQ1YmaJvSoNwpv6exEEIIIUQzow2QEEIIIQqHNkBCCCGEKBwN8gHKI+sU6DxOPPHEINtjFtjmbO27bHPM82Ngf4I8f6CsMnuqN9u62afh2GOPzWxDXlhhqenqm5u80+zLnVLHmvg2Q4cOjV7fc889Qeb7ao+n2GijjYKcl6KCQ99teCy/zjuegn2A2KfIHovAR23ssMMOQeYQbSBOycBrTLVRqg8QpzjYeuutozJOQfCHP/whyDalAa8fjzzySJDt2OjXr1+QOc2C7Qc+MmPUqFFBLkf/yZYmr1/5WWh96RrzfMnzq8pKhZF1/FS5ohElhBBCiMKhDZAQQgghCkeTmcAaQ81p5NVMnuqxmk+jFuWPNVEwbJY49NBDo7Lzzz8/yDvuuGNUxpmzOauzNVVyFnEOg7amLTY7c5tsJuj//ve/QX7iiSeCvMcee0T1OIsxm8Oqjay1xZo18sbAbrvtFmQ+Gf6+++6L6rGZsk+fPkHOywQ9ZsyYIFtXA84MzaHum266aWZbi2IeK9Wlwt4PvsdsKrPuD3wNfo+tl3UaQ6mpJcrl2VeMUSOEEEIIQWgDJIQQQojC0aomMCFE62GzM7Nae8qUKUF+5ZVXonqs5j7rrLOiMo70YfMVHxZrP5vNK/bwUjZZcYZgvjYA/P73v0dd2CzfvXv3DrI9DLaayDIx2KhZjp6zmaD/53/+J8gnnXRSkO1hv7/85S+D3Llz5yDbw1W7dOkS5LFjxwZ5wIABUT1+H4/JnXbaCVmUi0mlNbGmRGb+/PlBZvOYXQOyMsDbqDI+iJYj+uyh5uWONEBCCCGEKBzaAAkhhBCicGgDJIQQQojCIR8gIQrKaaedFr3eeeedg8y+MpYzzzwzyHvuuWdUdvvttweZfTlmzZoV1eNM0PxZ66+/flRvwYIFQT7ssMOCfMABB2S2j5k5c2b0etGiRUEeOHBgSdeoRNjPg0ObbTqCZ599NvMa8+bNC3Jett+tttoqyNx/NsSex8DIkSOD3Ldv36heYzLTFyUMvtR7c91110WvJ0+eHGT2FbLpJJYsWVLnZ3H2dwDo2LFjkJ1zQc7z02LKxWerGKNGCCGEEILQBkgIIYQQhaMNq0frY9KkSfMBzKy3omhKeg0ePLhTU19UfdlqqD+rB/VlddHk/am+bDVK6ssGbYCEEEIIIaoBmcCEEEIIUTi0ARJCCCFE4VAYvBCibHHOrQCwqff+7Xrq9QbwLoDVvPdf5dUVQgiggjdAzrkjAJwNYDMAiwFMBnC59/65lbjmOAB3eO9vapJGipJRf1YWzrlhAH4DYHMAXwOYBuBM7/2Lrdow0eRoblYXzrkZADZCMm+/BPBvACd772flvK0qqUgTmHPubABXA7gCSUf2BHADgNKyo4myQv1ZWTjn1gXwCIDrAHQA0A3ApQA+z3ufqDw0N6uW/bz37QB0ATAXyVwuHBUXBeacaw/gAwDHe+/vq6O8LYArARya/uleAOd47z93zq0P4K8AhiLRfj2PZOf7vnPucgDnItkRfwXgVu/9afb6omlRf1YezrltADzlvV+vjrI+AG4EsBWAFQD+CeDH3vuFafkMANcDOAZALwCPAzjWe788Lf9fJNqGFQAuBHAzUhOYc24fACMB9AHwKYCbvfeXpO/rDZnAmhTNzeoknYMneu+fSl/vDeBq732/vDmW1j0GwC8BtEOyMT6Br1VpVKIGaHsAawD4e0b5BQC2AzAIySK8LZKFFEi+7y1IFt6eAJYhWYzhvb8AwHgAp3nv22lCthjqz8rjLQBfO+duc87tlT7samgD4FcAugLoD6AHgEvM+w8FsCeAjQFsCeA4AHDO7QngZwB+AGBTALub9y1BsnFaD8A+AE5xzh3YZN9KWDQ3qxzn3FoADgMwIf1T5hxzzg1Aov07EonmqD0S7W/FUok+QB0BLMj5lXckgNO99/MAwDl3KYA/AbjIe/8RgAdqKqa/RP7VzO0V+ag/Kwzv/aLUB+gcJNqezs65xwCclDor1zgsz3fOXQXgYnOJa733swHAOfcwkgcokGyMbvHev56WXQJgBH3uOLrGq865uwDsBODBJvx6ohbNzerlQefcV0g0OfMADAfqnWMHA3i4xvfLOfcLAGe0ZKObmkrcAH0EYAPn3KoZE7Mr4sybM9O/1ex2RyH59Vnzq3Ud59wq3vuvm7HNIhv1ZwXivZ+GWs3NZgDuAHC1c+4nAK4FsAOAdZBoAj4xb+cTGJci7c/0/0lUFmXQdc4NBfBrAAMBrA6gLYBvmWZEk6G5Wb0c6L1/yjm3ChJ/rmdSDU8vZM+xrgCCo7T3fqlz7qOWbXbTUokmsBcALAeQpfqejaQTa+iZ/g0AfgrAARjqvV8XwI7p32uOpq0sh6jqQP1Z4Xjv3wRwK5JF81dI7vuWaZ8chdr+qI8PkZjMauhpyv8G4B8Aenjv2wP4YwOuLRqO5maV473/2ns/GklE2DDkz7EPAXSvea9zbk0kWsKKpeI0QN77T1PV2+9TFd4TSJzpdgewC4C7AFzonHsRyST7BZJfp0Dyi3QZgIXOuQ74tmp+LoBNmv9biBrUn5VHqvHZB8A9qVNrDySmqglI/AI+RdIn3QD8bwMufS+AW5xztwOYgW/35zoAPvbeL3fObQvgCCTjRTQDmpvVj3OuDYD9kWjppiF/jt0PYIJz7nsAXkIS+VnRP0AqUQME7/1VSCJFLgQwH4la7jQkdsqRSDrnVQCvAXg5/RuQeK2vCWABksX6cXPpawAc7Jz7xDl3bTN/DZGi/qw4FiOJ7pnonFuC5N6/juRX/6UAtkayCXoUwOhSL+q9H4OkT59G4kf0tKlyKoDLnHOLkTxs7125ryHqQ3OzannYOfcZgEUALkcSiTkVOXMsLT8dwN1ItEGLkfgPVWz6i4oLgxdCCCFE6+KcawdgIZI0Fe+2dnsaQ8WZwIQQQgjR8jjn9gMwFonp67dINH8zWrNNK0NFmsCEEEII0eIcgMTRfTaSXF2He+8r1owkE5gQQgghCoc0QEIIIYQoHA3yAZo8efKKtm3b1luvJbVKbdo0XxRe3vfgssa2oZT3ff755xg0aFCTf8lS+7K1mDFjRvSa7/eqq9YO2+XLl0f11lhjjSB36dKlzve0JkuXLl0wePDgTk193XLvz2qkUuZm3jqWtwZ99tlnQX777beDbOfS11/X5jX8zndqf1N/8803UT2ejxtuuGFOi+vGfo+mXvubY25W8rycNav2cPgNNtggKltzzTVbujkNotS+bNBToW3btujfv3+99b788ssg20GaNRl54gDx5LHv4Qlo39eU2AnM7fjqq9rEqKusskrmNfIWn9VWW63eNkybNq3eOo2h1L5sLX7zm99Er7kvOnToEOT//ve/Ub1+/foF+bzzzgtyp05NvudoFJMmTZpZf62GU+79WY1UytzkDYpdj/PWz+eeey7IP/nJT4LcsWOc++7TTz8NMj/s7Y+TCy64IMinndbw4794zQWa/kdNc8zNcpyXpf54v/HGG4N8/PHHR2X8nZpCGdDUlNqXMoEJIYQQonA0i12Ad4F5aksus78WWMWW9ytl/vz5Qd5yyy2jsr333jvIG220UZCnTp0a1fvkk9qjip555pmSPpe1PkuXLo3K8jQ75bJDbklYe5N3T/m+2XprrbVWkBcuXBjk1VdfPar3/PPPB3nUqFFBnj59elRv4403DjL/Qs7T5glRKfCca+yYPuqoo4Lcvn37IB922GFRvSlTpgTZORdk1gwBwOmnnx7koUOHBnnIkCEltadczNiVDlto7Pp57721uUW5LxcsWBDVe+ONN4I8YMCAIPNaCpT/eioNkBBCCCEKhzZAQgghhCgc2gAJIYQQonC0uFGVfWDYXrj22mtnvmf27NnRa7ZTTpgwIcg/+MEPonoTJ04M8qJFi4LcrVu3qB7boEeMGBHkgQMHRvVOOOGEIHNIJ/unWGzkQhETT+b5/VxyySV1/r1Pnz7Ra/YJY3+Ejz76KKrHfgIcust9BwBPP117zma526mFaCg859i/8p577onq8Tx44IEHojL2k+N12/r2bLJJ7aHuHDrfuXPnzHo//OEPg7zOOutE9Xr37l1nGy6+OD5Qnv06mztEvprI81F95JFHgnz77bcH+e67747q3XfffUG+4YYbgmyfd+W+tkoDJIQQQojCoQ2QEEIIIQpHi5vAOASPs/ZateqDDz4YZA6zBID3338/yF27dg2yzVbJqj4OnWYVKxCbsNgUxyYUALj66qvr/B5sNgNik1pe1tSiwKkFLrrooqjsgw8+CDKrrT/88MOoHof1chZZNm1aWP1qr7f99tsHmRN+WbOnEJUImyWuvfbaIC9btiyqx6YyXkuBeK3q2bNnkHkdBIDNNtssyBxWPWfOnKgeJ1DkNZfXUiBed1955ZUgjx07Nqr36quvBtlmW2ZTjMLns1N9vPbaa1E9a7asYdttt41eP/nkk3XWs2H15Y40QEIIIYQoHNoACSGEEKJwNItukD3yrXc+m72YU045JXrdt2/fINuD89q1axdkzvb81FNPRfU4kohVeI8++mhUj01nHJFgPdhZzbruuusG+ZprronqnXzyyUEeNmxYVFbErMNnnHFGkOfNmxeVrb/++kFm9avNPMrmTDZ7WZUrq745SoQjx4BYPc8RYhw5KESlctNNNwWZTUx2LeX5YqM1P//88yBzxv3NN988qsfrIr/Hzjl+FnzxxRdBtusgm6x4rZ87d25U79JLLw3yFVdcEZUVZW0tlazo4zFjxkSvbZbvGjiCDwAWL15cZ728sz/LMTJPGiAhhBBCFA5tgIQQQghROLQBEkIIIUThaBYfILYl28yQzM0335xZxnZre5L3dtttF2Q+iZ3tykCclZRDJi0cYs1Zou0p7977ILMvE38OEJ9Cbn2AytEO2tQ8++yz0ev33nsvyDbMkm317LNj67HfD/ezzSLLr7lfrQ28U6dOQZ4xY0aQrU18r732ghDljk3zwGsSZ61nXx4g9qGzc4TnJs8l6//BPkG8zuatdVnXrqsdNdi5/uabb2ZevwjrbEPISgXwzjvvRK9//vOfBznPf4fX6n/+859BHj58eFSPfV7LMR2BNEBCCCGEKBzaAAkhhBCicDR7GLzN0MmwCYwPuwRi1RmbKwBg8uTJQWbzWF6IJ6t6rSru448/DjJnLeZDBIHYJMYHtNpQbM46bck7iK5a4CzeQHwf7T1l1SrLHP4KxGkHWAVfaqZtq2bnPuIy23aZwEQlYE23HI7OLgl55ia7NmWFyNvw9qlTpwY5az4D8dzk9Z7bCsTrKZu77TPijTfeCLI9ScC2sWjYdZBNji+//HJJ1+CxYtMKbLnllkGeNm1akK0JjF1ZZAITQgghhCgDtAESQgghROFoFp2UVbNmwQdhHnvssVHZkiVLgsyHnwKxSYzNXrvssktU7/HHHw/yrFmz6ny/fd/rr78eZKsq5AP8uH2ctRqIM1KzeQ0AOnTogGrHquM5Yi5P3c2mLatyZRU8q8Xz1Kqs3remN/4s7lceM0JUCs8991xmGa9Bdr6wmSrPbMLYw0vZzYHnZt4pAHwNayrjuc4Z4fnQVSBeS9h1AQD233//OtteFLIi6YD4udavX79GXb9///5Bvv/++zPrlbvLhzRAQgghhCgc2gAJIYQQonBoAySEEEKIwtHsYfAWDmHn0GZrV+ZTwi3f+973gswnu9uslhwayafZvvvuu1E9tpFzptSBAwdG9dgm/sILLwSZsxTbz7Unzx999NGodjizMhBndbbZtdnvgG3/7GMFxCGw7GNmxw33EV8v73PXW2+9IOdlDBeiXLF+d7179w4y++WwTw0Qr7PWd5Nf52X3Zz/Mjz76qM73APFc5TaxD56txz4kth6XTZo0KSorug9Qnm/ka6+9FuQf/ehHmfVs/zH8bLzqqqtKakc5ngwvDZAQQgghCoc2QEIIIYQoHM1iAstTb02YMCHIHJpsVbgDBgwIModPAsCUKVOCzIf+2fB2bgeHwVuzSVYoKKsKgThkkEP4WQbisFBrlqtW+J7akHPGhsFz37LK1YbkchmrVa2ql8Pq2exlTWB5h+gynIKhe/fumfWEaE3YnQCIzQ18iKg11y9btizI1sTE8Py2JjD+rKxM7EA893meWlMLt5HNa2zWA+JDlseOHRuVXXrppZntqFZKNTHx6Qn8nG0I7DbA7gp2neUxVY4Ho0oDJIQQQojCoQ2QEEIIIQqHNkBCCCGEKBwtbohjuy2HMVo/GrZh2nTd48aNC/LQoUODvMMOO0T1+JTi559/PsjOuagep1jnMPiHHnooqsf2crZhWp+itddeO8hz5sxBEcj7ntyXfA+B2HeBbcS2HsOh7tZ/h1+zbwHbrIFsfwQLH40iH6BvY1NeZPkh5Pkk3HbbbUH+7ne/G5XxqdMtSTmG7FrYv9DOl27dugWZ59jcuXOjejxf7InqvI5xGgo+RgaIU4xwmfU34jWT134bfs8+RjxvP/nkk6ge+3zyc6Xa4HUxL8UMj1N7jAkfz/Tiiy82+HPzfHb4+ffss89GZXvuuWed77Hfg6+Rtx43NdIACSGEEKJwaAMkhBBCiMLRLCawvAySnCWY1aD2PTNnzgzyvvvuG5WxapbD4DnLNBCrezfYYIMg2yzDrD5mNWu7du2ienvssUeQ+URdNrUB8feyWZGrlTwTGKs7bT+zypxV9ZxKAIjVotxfNkUCv4+vbdX7WSpXHltAnD6hqOSZuWx/ZpmL2GwNAGeffXaQ2ex17bXXRvXuvPPOINvTwBvDHXfcEeTRo0dHZV27dg3yTTfdFGRrXuHQ7NaE3QbsOO3Tp0+QOduzDVPntcqak9kUxbI1UbApjq/PZrO861lzDY8pNo/Z8Hue63ZN59d2Tlca9v40Bk4/06tXr5LeU2qoOq/Bdv6yCSzvei1p9mKkARJCCCFE4dAGSAghhBCFo1lMYHmqLj6I1Jo5GM4mbLMpH3HEEUFmr3M2SwGxSYXNWVZdypml+XN33HHHqB639/777w8yq5GBWIU7e/ZsFIG33367pHpWncvmFFZ3W3U8m1b4/toIPL4ej0MbBcYZS1m1bk04NjqxmijVtGXvSV5UFB8S/Je//CXIzzzzTFTv7rvvDjKba44//vio3sknnxzkW265Jcgbb7xxVI9NVhdddFGQbYRRx44dg7zrrrtGZSeddFKQr7jiiiDbLMvlApv/7f1YuHBhkNkVwPY5r112LjF8H+09ZbMXX89mBeb5yPM77znA9fg72ffZMcnr0VZbbZV5/Upg3rx5Qebnjl1L2cxvzcUc+cWmyf/85z9RPXbn4EhZG4G3xRZbBDkv6pnnPY9D23Z+feCBB6KlkAZICCGEEIVDGyAhhBBCFA5tgIQQQghROFo8E/RHH30UZA4ntT4fbFf23kdlH374YZDZbm1tzmxX5FNpbTgl207ZV8SGu77xxhtBZlunzVTNbbdZU6sVayNm2JZsbfVsq2b7M59gDWSfBm9tyXx9tjnbjMLcz+ynxekSgOr2ASrVt4fnGwCMHz8+yA888EBU9uqrrwb5rLPOCvKNN95YUptsaPr2228f5IMPPjjInAUYiP34eOycc845Ub0TTjihpHZUAjxue/bsGZVx6Dv7Xdq1Ly8cnWHfIRtWzmkp8vzp+Pp5WYuzfPxslnD2X+EM/kDsN1PpcCqVP/7xj0HmZxoQ+/Y8+OCDURnPYe6jU045JarHz1B+rtn7mzXfbDqG8847L8g8htjXFgA6d+4cZPkACSGEEEI0I9oACSGEEKJwtLgJjEMZu3TpEmSrLmWTWN++faOyt956K8ic4ZLVvkAc7s5lVv3G4aRcNmnSpKgeZ6tktZ9tO4eJ5mXFrib4HlpYRT5kyJCojA9tZLWqzQzK44FVqVZ9zuYxTn1gD4vkPuJx0r59+6heJR2yWHNfbKhzqWPwueeeC/Kll14aZD4QFgBOPPHEII8aNSoq42zKedhQ6hpsW1mVv9122wWZzdFAnDm+1EzNtg08j3m85aW5aE3YdM+uBUCc7ZdNHnZssBnFhpnz3OLvzCZtIHueWXNblonV1uO5z6Z1m+aEy2wagI8//rjOz6pE+PnH65O9n9y3dh3r3bt3kPm+2RQEbPbiZ6Y1gXFqGh4b9kDyl156Kci2n5nBgwdnljUn5TGThRBCCCFaEG2AhBBCCFE4mt0EZtWl7NXPKlabhZS9wm3GVo5CGTp0aJBZRQ7EkSesfrMRZ6weZHWjPcBxv/32CzJHEdnvyCrcclGXNzd5JjDOpJuXhZsP1bMmK76nbOayKn2+Pqt3bft4PLAZwEa4VJIqvUYlnpepOQ+Osrr66quDfPjhh69cw+qg1Hmx0UYbBXnixIlBtirzAw44IMicjbqxbcjLTlwuLFiwIMh2HrB5jOeLXavyzGP8vrx7lTX37UHFvMbz9ewBrYsWLarzGrYNHTp0CLJdL/galQ6vnxyVys8tIHbLsKZoNntxPes2wpFkWWMIAHr06BFkjra1h05vvvnmQeb5O3369Kgez/OWpBhPZyGEEEIIQhsgIYQQQhQObYCEEEIIUTia3QeI7YNAbO9lHyAbIscnRNuMl2wLZlukvQbXY5u+9TfibMScbfTNN9+M6rF/ydZbbx3k1157LarHPkZ5oX/VRFZYMxDbsDmFARDfHw6ntbBfC/ef9TPI8i2wfgYc8su+D9YPwr6vXFm+fHnImM4h4UA8HnmscwoJIPahY78fzkQLxPfI+huxr1bemOB0E9w+6+fB44P9CY477rio3siRI4P8ve99L8i33XZbVG/y5MlBtn4+WRGJY5UAACAASURBVL5Tdr2oyU6dd3p6S8Ch79ZHg8c3zxGbQTsvUz3fj7zUE9x/7ENi/Y14PHBqgbw1kn0yrf8gh3rbtBnWF6WS4b7lMWvHa97pCXy/+V7ZtaJ///5B5v6yfl6cvoT9jTg7uW0j15s2bVpUj5/jLYk0QEIIIYQoHNoACSGEEKJwNLsJzGYXZdMWw6pTAHDOBdmqafkgUg5TtupzDvfjMEmrLn366aeDzGHZ77//flSPM8wOGDAgyDZDadbBnUAcumoP3qxk7PdkWH2eZxbhMWDV3axO51B1q2bPOijVjg0+9I9NBNYEZq9frqyxxhphzthQfj4Ikce0DaO97LLLgnz33Xdnfhabr6wZaWVNhnYc8Vxltflhhx0W1eNDTjl9xT333BPVY3N63mGdPF7sWOzevfu36rQGnJ3XZqtmsxKPB04vAsShyZzaI49S+zhvLvG4sW3n8cVrvV0vOdu1dVeoFNN1Q+FMzTZDO6+fNryd111e72yKGX5OshnNPjN5rvBaat0Y2MTGz2O79rBpviWRBkgIIYQQhUMbICGEEEIUjmY3gdnDJFktmqdmZrWoVfWx9z8fvvbiiy9G9ew1a7DmNo5UY9NWXlbgPG98Vg/az2JzRDWZwGx2bYb70t4PVrnmXYPvN48hGyHIanZWpVvVLKuB+XNtVFklRvHVmGiyXpfClltu2VTNaXFshFhzYSNZWhoem9aMxGsQzxd7UCzPEWs24nUtz9zHZku+hjVnchvz5jrPQR67NqKY22RN63mm9kqGMya/+uqrURnfX9uXPFb4uWNdVPiZybJ9VmWt2/Z6/Lm8F2BXEEAmMCGEEEKIFkMbICGEEEIUDm2AhBBCCFE4mt0HyIawczgd26bzToPlk2yBOFszZwq1NnkOoeTwT2t/Zptzly5dgsz+QADwzDPPBJlPs7UhhxwWaP0vqsnvh2FfAgtnzLVh5Vl2fOuLw9fnMns96wtRg+1z9pHgsrxT44UoJ3he8cnoQHwaOo/pLbbYIqp38803B9muVbyOsQ+enZtZKSWsHw77FLF/kPUL5LW1Y8eOQbZpSXhusl+obVM1scsuuwT5qaeeisrY78euizwGOG2LDW/nfuYxxc9FAJg3b16Qef1kP1kg7qO89b21kAZICCGEEIVDGyAhhBBCFI5mN4HxgX1ArO5k9VteqK4NYeYDNVllZ01lrCLOCxnlcL9Zs2YFmUP9gDiEnUPkrfo163BA245qwh6QmIU9QJL7Iiu7qMVmmGXY5Moqd5vSgPso73DPUr+XEC0Nm4VteDubmDgzdt74tqHTpY59Nm3wNfJMYDzn8sLvOXuwTXnBZr48k0818f3vfz/I1r2E7zcfQA3E9+eDDz4Isn228jrJ5ix2JwHiZzc//2w/ZKUYsaa31kIaICGEEEIUDm2AhBBCCFE4mt0Exh79FlZpWhMFq0FtBA+r+tgcZmF1HKtcrQc6q4vZu92a79gkxipnq+rl69lr8OFwPXr0yGx7JWMPVeT+y4rSAmKzV14W2SyVu30fm9tsVnA2TfLYsCY6IcoVNv/bKEwexzyvrBmJ69lr8Dzj91nTGEdyZpm5gHg95mvbLNNcr2fPnkG2zxJej/OuUU3w/bDPHY6ktocUcz9vuummQbbrLN9TNiNalwT+bB4P9npZ0V7l8uyTBkgIIYQQhUMbICGEEEIUDm2AhBBCCFE4mt0H6O23345es+8F+8d07do1qsd2RRu6ybBvhw2ts/4hNdhQdLYfc5kNEcwKrezUqVNmvXfeeScqe/PNN4M8bNiwOq9XibBN154IzHTr1i16zT5cnCXb9hH7EXE/W/8wHl88hmyKBM5yyvZy7h+gfGzVQlh43H766adRGftysP/HkUceGdU79dRTg2z987LWRbuuZvn4WR+VrFMALBzCzZmPx48fH9XjOW39DqvVB4ixqQ/4hHWbfoXh55r17eG+tX5VDD+TeXxZH0r2HeNxYp8DrYU0QEIIIYQoHNoACSGEEKJwNLsJzIYfs9qWTSVWdTZo0KAgW1Ucq085dNOGcfIhpayys+pBPnCPr23NK6w6ZBWrVT+z6neTTTaJyvr164dq5IwzzgjyEUccEZWxaWvgwIFRGavF+b7Ze58VPm//zqp6Hg+2zzkbKquOyyVDqRD1wRl4eQwD354/NdjwaF7H7BrMWZh5Xth1NsvsbF0XOESaTS22rZzhmcO+bcZ9+2xh8sw31cKQIUOi12PGjAmyTSvD/T579uwg23vI/cJraV5aEr627fOstCJ5Jz+0JNU/SoQQQgghDNoACSGEEKJwaAMkhBBCiMLR7D5Ae+65Z/R69OjRQWabLvuQAMC5555bZz0g265owzP5BNu8lO98qi7bs/N8jzjM1Iazz5gxI8jWFpt3ynm1wD4/lqlTp0avOXw1z08ry6chLwye7dY2JJf7XH4/ohLJO8k9LwyaueCCC4LMazMQh5nnnd7OZTyH7Zzj19w+u16ceeaZQeb0KDZ0nn2FqpksXxybOob9uewzbtasWXWW2aMquF84HYFN9cJrJvsR2Wczt4m/x8Ybb4xyQBogIYQQQhQObYCEEEIIUTha/DR4Dn3nMPW99947qschfcOHD4/KWPXHss0uySpivp5VpbI6jkM/rQqX285mLs5WCgCTJk0K8jbbbJP5WdVE3unOTO/evaPXNoVADTYTNKtcWQVvw+BZ5crtsG3isZIX7plXJkRrsv/++wd54sSJURmP2//3//5f5jVGjhxZpwzE4dIzZ86s8+9AnNGfM6zb9ZhdGXjt79KlS2b7mO233z56PWHChCBbM3Y1hcHzc4yxaylnXbauF3xSfFbaAgu7ebAMAHPnzg2yXasZvj7L9pnZWlTPKBFCCCGEKBFtgIQQQghROJpdp3/11VdHrzkDL0dpWRXmn/70pyZtx1577bXS1+CspFtuuWVmPauOLgKlqpw7d+4cvf7444+DzIfIWrWqjWpo6GfZ6DsuyzNt5amIhWhN2KRkD/9kcz1nurfkma6zXA2am6w22az6HKWUlxG+0uH7wevRdtttF9Xj9dOul3wNju7j9RfIjuiyY4Pvd55JjddWdhuxUWWthTRAQgghhCgc2gAJIYQQonBoAySEEEKIwtEsPkBsf7WnD7Mdl+W8rKE2uyTbI7OykNp6XGbtw1nttW3K+ixr98z7LG5T1gnn1cwLL7wQvWbfBc5WarO88r1nG3Ze1mn2kbB+EOw/kIcdU0KUC7vuumuQr7322qiM/UHsqeEMr0d2veN0E1zW2HQQvBby59rrZfkT7rfffrmvi8agQYOi1xzqbuH1k1O92FQF3Ef83OW0BUCcSZ9D5O3zjsfhiBEjMtvXWkgDJIQQQojCoQ2QEEIIIQpHG5sVOY9JkybNBzCz3oqiKek1ePDgJo8ZVF+2GurP6kF9WV00eX+qL1uNkvqyQRsgIYQQQohqQCYwIYQQQhSOitwAOed6O+dWOOfqDEdwzp3vnLuppdslRBFJ52LfhpbVc83jnHPPrXzrxMqgtbb6sH3qnBvnnDuxtdvVGrTI8dbOuc/o5VoAPgdQE2P5I+/9nU35ed77K+ppT28A7wJYzXv/lSn7M4CXAHwB4ETv/bCmbJuoG+fcDAAbIRkXXwL4N4CTvfezct4mmhDn3DgAWwHo7L3/vJ7qFYlzbmcAd3jvu7d2W5oDrbXFwqybSwA8BuB07/1nOW8TKS2iAfLet6v5B+A9APvR35p0QtZH1i8ZYk8kg0i0PPulY6QLgLkArmvl9hSG9EG1A4AVAPZv3daIxqK1tpDUrJtbAxgC4MJWbk+9OOfK4pDFFtEANRbn3LYAbgDQD8AyAHd678+mKkc6536J5JfOKO/95en7LgHQ13t/FP0CORHAxQBmAOidvn+hcw4AfuC9f8E5tyWAhQDWAfBHAKulv6i+8t6v55xrj+ShvBeApQBuBHCF9/4b59xxAE4C8DKAYwB8CODH3vuxTX1fqh3v/XLn3P0ArgYA59w+AEYC6APgUwA3e+8vqanvnDsGwC8BtEvfcwKSX5RPtXDTK5ljAEwAMBHAsQDuqylwzt2K5NdlbwA7AngDwBHe+3fsRZxzwwDcBeAY7/2/TFlbAJcDOBRAWwB/B3CW936ZvU5KG+fcdahjPjnnuiKZo8MAfAzgSu/9jfQ5V6afAwD3AjgHyXo3BkBb0pT0897Prv/2VDdaaysf7/0HzrkxAAammqGwBnI/5V3DOfcdAOcjub9rAngciUbpU+fc4wAe8d5fT/WnALjUez/aObcZkj4bDGA+gIu89/em9W5FMq56AdgJwAEAWn19LncfoGsAXOO9XxfJw+9eUz4MgAOwG4BfOOf651xrJwD9AQxHsogDwHrpL6Oa9MR7A3jUez8NwMkAXkjL10vLrwPQHsAm6fWOAXA8fcZQANMBbIBkARjtnOvQwO9ceJxzawE4DMkDGUgevscAWA/APgBOcc4dmNYdgGThPhKJ5qg9gG72mqJejgFwZ/pvuHPOppUdAeBSAOsDeBvJRibCOTccyebnILv5SbkSyQN2EIC+SPrpFzltyptPdwF4H0BXAAcDuMI5t1tadgGA7dLP2QrAtgAu9N4vQfJAnU1akcJvflK01lY4zrkeSO7rKytxmePSf7sgufftANRseP6GZB2o+bwBSDY0jzrn1gbwZFpnw7TeDc65zenaRyBZN9YBUBb+feW+AfoSQF/n3Abe+8+89xNM+aXe+2Xe+ykApiBZ7LK4xHu/JOfXJpA8XOtUyaYqu8MAnOe9X+y9nwHgdwCOpmrzAFztvf/Se38PAJ9eU5TGg865hQAWAfgBgP8DAO/9OO/9a977b7z3ryJ5+O2UvudgAA9775/z3n+B5IGq3A4NINXa9AJwr/d+EoB3kCxWzGjv/X9SP447kWwumEMA/BnA3t77/9TxGW2Q/Ko8y3v/sfd+MYArABye07Q651O60A8DcI73frn3fjKAm1A7F48EcJn3fp73fj6SjdvRdVxf1KK1tnKpWTefA/AMknnVWI4EcJX3fnrqR3QegMNTc+bfAQxyzvWiuqNTf8F9Aczw3t/ivf/Ke/8ygAeQrM81POS9fz5dx5evRBubjLI2gSExZVwG4E3n3LtIJuEjVD6H5KVIdqtZ5DrTOufWA7AZEufbutgAwOqIk1rNRKxt+MB7v8KUd837XBFxoPf+qXQBPADAM/Qr49cABiLpg7aoNdF0BfWt936pc+6jlm12xXMsgCe89wvS139L/zaK6tQ3184EcLv3/rWMz+iExHwyKTWFAEAbAHm+AFnzqSuAmk0Ul22Tyl3x7XmqeZiP1trK5UBr7qc51lDqmjurAtgoNbE9iuRHy5Xp//+T1usFYGi6EathVQB/pddlF9BS1hog7/1/vfcjkKjUrgRwf6pqawwrMuQahgMY673/OqPOAiS/knrR33oC+IBed0t/6XK5VOwNxHv/tfd+NJLIhmFIHsj/ANDDe98eic9AzX3+EECI6HHOrQkgPvlUZJLer0MB7OScm+OcmwPgLABbOefyfuVbDgFwoHPuzIzyBUh8ADb33q+X/mufOm9mkTWfZgPo4Jxbx5TVzMXZ+PY8rZmH0g7WgdbaqmMJkh8cNXQu8X11zZ2vkASlAIn2fYRzbnskPkI1pu5ZAJ6huV1j8jyFrlV2c6+sN0DOuaOcc528998gcZgDakM6V4b5AL5BYuOswapk5wLo7pxbHUgeykjs4pc759ZJ1YBnA7iD3rMhgDOcc6s55w5BYgdXlEMDcc61cc4dgMTfZBoSm/HHqXP0tojNM/cD2M859720ry5F7eZI1M+BSObUACRmrUFIxu14JH4XpTIbiX/IGc65U21hOodvBDDKObchADjnuqV+Q1nUOZ98khrh3wB+5ZxbI3WoPQGJaQ5IFukLnXOdnHMbIDGL1szTuQA6pk62IkVrbdUxGYnpajXn3DaITVF53AXgLOfcxs65dkjMaff42hQGjyHZIF2W/v2b9O+PAOjnnDs6/czVnHND6vEVa3XKegOEJExyahodcA2Aw5vCdui9X4rEGet559zCdDf7AyQe7zU8DWAqgDnOuRrTwOlIdtbTkdhb/wbgL/SeiQA2RfIL5nIAB3vvZY4pnYfTvl6E5P4d672fCuBUAJc55xYjeZgFB820/HQAdyPRBi1G4h9QlXlsmoFjAdzivX/Pez+n5h8Sx8cjXf2hzAHv/XtINkHnuLoTq52DxIF6gnNuEZIokDxdfd58GoEkwmg2Et+Ei733T6ZlI5Hkl3kVwGtIooVGpm18E8kiPz2d+0U1m1i01lYXFyFxZv8EyY/Cv5X4vr8gMVs9iySibzmSvgAApP4+owHsztdMzdF7IDGLzUZiMr0SibtC2aKzwBBCQK/33m+7Etc4Dkrm1eqkv1oWAtjUe/9ua7dHCFGL1lpRTpS7E3RLcnFrN0A0DufcfgDGIjF9/RbJr/4ZrdkmIUQmWmtFWdDqG6A0cdMOdRRd4etJs95U1BW2KyqKA5CobdsgMX0cbiJEhCg8WmuFiJEJTAghhBCFo9ydoIUQQgghmhxtgIQQQghROBrkAzR58uQVbdu2fFTb8uVxNOaHH34YZDbhrb/++lG9tdeuzeP1zTffBHnJkiVRvU8++aTOz+3Vq1f0erXVViuxxU3H559/jkGDBjV5XpvW6stS+eqrr6LX3OdffPFFkK0Jl/uoW7faxLGrrtrq7m4AgKVLly4YPHhwp6a+brn3ZzVS1LlZrTTH3CyXvly6dGmQp0+fHuTvfCfWgfA6+fXX2WmgOneuzavYvn1tSi17vSzsut2mTdNOo1L7skFPhbZt26J//4blNWqKLzpt2rTo9d133x3kL7/8MsgHHXRQVG/bbWsjLXkT9dprcbb+Bx54oM723XDDDVG9rl1LSxnC33llO9Z+96aiMX3Zknz88cfR67/8pTYFyMyZtZnaeWMLxH102WWXBXmDDTZo6iY2ikmTJs2sv1bDKff+rEaKOjerleaYm03xzGQa+zx55ZXa81EvuOCCIK+11lpRvY02qj0D+dNPPw2yXWf/93//N8hbbVWbMJ6VDnnYzdUqq+SdiNNwSu3LZvlZXOoGgBcQu9n4+9//HuRFixZFZeuuu26Qly2rPW/v/vvvL6l9Vruwzjq1GfW5A/v06RPV69KlS5CPP772YOKLLrooqtfUu9micPvttwf5uOOOi8quvPLKII8cOTLIn332WVSPyzp1qv0B8Ne//jWqd9RRR9XZhuZYfIRoafgBU+rD5eyzz45ejxs3Lsh//vOfg7zNNtugMXz0UW2ewpNPPjnICxcujOpde+21QS5189DcD9TWJGvd+de//hW95h/ykyZNisp69+4d5H79+gX5mWeeiepNmTIlyOutt16Qhw2LUy498kjtMXG//OUvg2ytJkOGDAnyGWecUee1WxP5AAkhhBCicGgDJIQQQojCoQ2QEEIIIQpHs/gA5flK3HFH7YG+eb4cHM3DjlkWduJi3yD7vjlz5gT588/jczLXXHPNILMPCHu6A7HD9ahRo4L873//O6o3ZsyYzPYWkTyfMI5IuO2224Js/b7atWtX57Wt0911110X5J/+9KdBPuSQQ6J67Li3xRZb1NlWoPSohqJSapADO64Dsa/AE088EWTr1/CrX/2qzuu988470WseHx07dsxsH0e5WMdO9ifkyJ3WiP4sBW6/HafsAzN//vwgX3xxfArFnXfeGWS+b0C83h122GFBZl9IINvxlSOPgHiNZ7+fNdZYI6r3wx/+MMjvv/9+kE8//fSoHo8N6/PDkaKrr756kJs7+qgpsG1in9Vf//rXQea1E4jv4/bbb595jQEDBgR5l112ierxHODnIvtvAXH/7bzzzt/+Eik873/+858Heb/99ovq8euW9OfS6i6EEEKIwqENkBBCCCEKR7Nnh7Mh5xziyCo7m6iO1a9WVW2vmXUNVtuxGo3D3u1n5YVBsyq8e/fuQX799dejekcffXSQbfh1EclTM3MI5RFHHBFka/LiPuJ+yOsvDv3ca6+9orIrrqg9+/Guu+4KskxeDSPPpMDq9D/+8Y9RPTYxTZ48Ocgvv/xyVI/DcjmBKec1AWKzzN577x3kDh06RPU4tHuTTTaJyjiHFJvT2WwPAJdffnmd124JSg1v57QRfO/t+N54442DzCYPIO4/fp81CXK9PHi95zBoez3+LG7TrbfeGtUbP358kB966KGojM15/Lwol4SoDYFTEHBuHjbjA7FrhzUjLV68uE7ZuhrwveLrsRkRiNdnXpvtGOI5xfPXhumzCawlUxhotRdCCCFE4dAGSAghhBCFo9n1gXyEAQDMnTs3yHyGiDVrsWrdlrGandVl7Plv4XqssrOfxde26n02xfE1rLlm4sSJQeYoBiA2nVUreV78M2bMiMr4yIsTTjgh85pZkTjWvJZlEuNjMQBg1113DfKsWbOC3KNHj6heXqSNyDdvsjq8b9++UdnUqVODzJEidm6yqYT7wkYe8dxnM4Edi/y5NpqJTWKPP/54kO2xLDVzOMsU35TYz8gy4djM6Y899liQOfOvdSdgM4c9c5EjbPke8P21beL5Z00ZXMZuCHYMcRu5jE3ath277757VMaRhZwR3n5HG4FWjvBY58hkG83MkVl2vWQTFt9720d87/PGd1aZXSPZ7JV3thib4mw0d3OiFV0IIYQQhUMbICGEEEIUDm2AhBBCCFE4mt0H6O67745es42Q7YMcFgvE9sK8LKd5IY78Pq6X56PC77H+JDYUMOt6nPGUM3cCwPXXX1/nNaqJPL8Q9k0AgG7dutVZL8//ivursZld2S/gnnvuCfLPfvazkt4vVo633noryOz3YzPE7rHHHkGeN29ekK1vnXMuyPvuu2+Qra8C+xvNnj07KmN/EB4fdl3ZbLPNAABvv/02moMVK1aEe5KXhZpP6H7vvfeispo2AnHYs11ns/xtgHhd4/th12P2v+L32Ovx+/J8LbOwPi/se2l9e3baaacg/+Mf/wiy9UXL8xstF3icsf+OPSGhf//+QeZnKxDf77xUCnwfeWzYcZjlz2Pr8Zxi/1/rR8apFOQDJIQQQgjRjGgD9P+zd+bxdk13///QoojIIEESSWRaQhDSSEJiKDEP0RoaFPXoU/VDlbYeQ6tVaamn5mprbE0xPVpDBUVEIiKEDEiWyGTIKOZ5/P2xz135rK+7V06ue+495+7P+/XK6/U9Wevsvc9ew973OwohhBCicFTEBMbqN5vZtWvXrkF+8803g2xVs6x2tmpKVuflqfYs3M9mq+Rwz5RKmNXprLKz52XV7G233Ra1tVQTGKuxU+HiEyZMiD7brNx12HDdhmQHTYWwcxbfF154IfcYCn1vHMaNGxd95n2hZ8+eQbbh3JyigMeTC90C8fzw3geZC4ECwEEHHRRkq2rncw0bNizIXGAXWGEKr1QhzdVWWy2YEuzess8++wSZTYI2qzWbvfJMTxZr6uO+bBqxhat5X+SQ7VQYPPezqQ94f+aCqqmCp3ZP52sfMWJEkDk8HogzFVcrnMaAn1X2fvBcSaU74PuWSguQSh3D3+NrYhmIQ/M57Y2F+6WKnzc22t2FEEIIUTj0AiSEEEKIwlERE9if//znINtsq6yOZRWbVdmxN7n1aGd1J3/PmtE4coFVotbswh7pr7/+eu41MSkTHf9GmyWaCyseccQRucdvSmwURl5mbEueKTIVmWUz+NrMy6tKuddn6d27d5Dvvffess7V0Iizlow10fC6OPjgg4P80EMPRf3atm0bZI704ugwIFapcxQmr1MA2GabbYLM47LllltG/fh7bF6xsCngwAMPzO1XCT788MNglj3hhBOiNo5+43toTRk8Dqm1yXumHUvegzmCZ5dddon6sVsDZ7q3BS+feOKJIPMemYrESkUisVnGmmh4/Ph32bG8/fbbc89dLbDJkceSs6QDsSnSPru4OCy3lRsRnarUwNdno7vy5pd9pvP84ojOSiMNkBBCCCEKh16AhBBCCFE49AIkhBBCiMJRER+gp59+Osg2eyf777Ad0doiuc3aiNmOz34B7Ndh4RDXuXPnRm1sW+brs9eU5/NiQ6VTttNq9AGyviz8uSHV0FMZZZ977rmobeutt673GA0Je1/ZdeS1LVq0KMiPPfZY1G/HHXcs63jl+k21NPKqkwPADTfcEORDDz00t98hhxwSZF4fQOzDw757NqT2tddeC3JeKC8Q+01wKgsgzkrOe8wWW2yRe+2V4NNPPw3V1+fNmxe1cYhwKmt93nxM9Utl0ud7v8EGG0T9TjzxxCCzX5K9vzfddFOQ2VcodU28H1s/n9TexPsu+5HZ7N/Tpk0LcrWExHNldCD+3ezrZdN3DB48OMg2lJzTQfC9sveU7xv3s89C7sfrrX///lE/9v1jnzv2SQK+6sPWVEgDJIQQQojCoRcgIYQQQhSOipjAOPvx3nvvHbVNnTo1yBwSnQqDt+GPrNJlFbdVF7NajdV5NltluSafPLWyVR0vX748yB07doza7r//flQ75WZ1Lpdnn302yJzxE4hNFxwma0NoOZySVesptTi3DRkyJOq3ePHiILNZxBavZRNYinLTABQJVo3b+8pFcXkOdOvWLerHphfOJm3N4jxOrGq3Y8HmTr4+IA4x5yz13//+99GUtG7dGoMGDQIAXH/99VHbscceG2Q2N9l1Wu6c4/Vi3RV4X+MxskVgrTkj7xr4ev/0pz8F+eabb476TZ48OcicRsS6E/Denyq8ymYvm9Wbi+/aPae5sL+FTbO8HmwoOZupHn/88aiN1wQ/T63piV1K+HgpE1jKXYVdHgYOHBhkm4W9MVweGoI0QEIIIYQoHHoBEkIIIUTh0AuQEEIIIQpHRXyAGLb1A3Ho99133x1ka0dm+7MtJ8Ft1i7MsN9IuWHK1meAi/sgRwAAIABJREFUYbsy+6FYv5Y6+z1Qez4/QHx/6sJxAeD555+P+rFfANuSbXkLDsk84IADorbhw4cHOc/WDcT+A6n0/Xk+QNZHgiuQ8/ziawDi+csVtoE4ZTuHazeXPbs5sL57fJ95fpxzzjlRvx/84AdB5srwXO0cAB544IEg8zzdYYcdon4cEsyh0zYUm0OdOTUGEM9b9gFiuSn48ssvw77GVekB4LTTTgvyqFGjgpwqOcTr2fpocJud33wu9jcZM2bMyn8E4jUGAMccc0yQed+eMWNG1C9v37aljlKV4pcuXRrkCy64IMj7779/1M/uH9WA9e2ZPXt2kHmvmjhxYtRv/vz5QWZ/GyDex9kHNuV7y/cmldqE91k+DxCHwXM/LlMFxOVUdt11VzQV0gAJIYQQonDoBUgIIYQQhaMiJrBUKDlnep0wYUKQWSUOxCGZqSyfqf9nswlXqbVh9axaZTWwDW9nlSubdTjjLQAMHTq03uurVlImwbyqygDQp0+fIHM1bguHF7NJA4jv6aWXXpp7LjaxlRumz/PBmtQ4ZQJnqLWVrv/yl78E2aqLObz2nnvuCfKIESNyr6mlYdcch9GyyXTs2LFRPx5DVn9zKgQA6NWrV5D5/rNZAIjnQbt27YJs5xGr6G01bTYvcCZoGy7fFNStSWueZjMSmw7vvPPOqJ9NJ1CHPR6bjuz8vvXWW4N8+OGHB9lW6+bs6bwPWNMWpwQZPXp0kLkSuL12NmHatc7jZTO4X3HFFUHmTOOWajRX24rqM2fODDI/qzilAxCvIztGvF74+WdNxHkmQTtv+Bi83viZC8TVGXivt5ncm2ONAdIACSGEEKKA6AVICCGEEIWjIiawcrMHs6mI1XcA8PLLLwfZqsvYHJKXFRqIo7NYtWdVvTabcB026oC987/97W8HudZMXqsCRwykombsPWVYXWpNUTZ6pQ5bNJULBPIx7Bix6ZTH1RbpY5UrRyRY1THDpjwgLujIWWS33XbbqJ+d25UiL4KxsTNR81hbczKz++67B9mauHl8Z82aFWSbZfiggw4KMpvXbMFIHl82X1mVPs9nG23DEVIpc0KlWW211cJeZtcVj+Xll18eZBs9xyYxzqDN5gp7/I022ihqmzRpUpB5b91+++2jfpy5mc1y9jnAGeEffvjhIG+66aa518Rjbot/sjvF7bffHrXZDPz1Hbu+a6wG7J7GEY+8PjjaEYjnhjUl8/OUXTvYLAV8tUpCHdbUzXsN77M2cz4/I/j5Ye973jO40lTf6AshhBBCVBi9AAkhhBCicOgFSAghhBCFo+KZoMsllYG53MzNqWOw3dP2489sI7b+A3yMBQsW5J6rpbLzzjtHnzllANuS2W5vP9twx7yx5TQDQGxLzhsve7xUlnCG/RtWJTPse++9F2T2E2kqnx9LU1Wdb4jfhPWLYp8pDk23vj28ztjnyvqSceZfvg+22vWyZcuCvO666+a2cfZnm4m+KbH3Oi/FyF577RX14/QNfD+szxbPYXsu9s3h9BU2xJ7vMVf5tveefawGDBgQZM4YDnzVt6UOzuINxKHdXNU9RTX6/Fisr+HixYuDzH40NoR9t912C/KLL74YtfFYljufU36d7LPDe79NHcM+RewD1r1796hfc2Xkrv7ZIIQQQgjRyOgFSAghhBCFo+ImsFShTcaqJvl7HNpc3zFX9Vz2//kzX4c9Hqv3qjGDaCWYOnVqkK+88sqo7Xe/+12QWSVqTWCsIk2FJfP9tuGZeWavcse8XBWr7cfHt215Ydkchg0AG2ywQVnnbgnwuPF92HrrraN+Rx11VJDZfMUZtYE4rPqpp54Ksi3My1nJ2URjVfJcdNlm0mWzGptqm3Otp0y8KTjsmcOqU3ufDb9mM+CPfvSjIFvzBZtsODu6DblnMxXf6yOPPDLqZ8Pi67DmOzt+DD8z7O+qdmxmbE7nwmNi08PwGrBmRd672HSWchthE6adh+WuiZ122inIXBjcplywz4ymQhogIYQQQhQOvQAJIYQQonBUTRRYKkNnuRFiVr2b+l5ePz5G6vvlHrvW+elPfxrkLbbYImpjFTdHKthsopxx15qH5s+fX+95UxmGyzUDpLJ/sxqYiw+yCt9ij8HXyKYWzmwM1E6m8IZkkrbZwfle8vE42giIM/Wy+ttmjGbTKkcd7r///rnn5XlpC3JyJBJHLAFAjx49gjxnzpwg89wG8rOXNyZ19y4VBZYaFzYBcVQV/34gNmXYc3FfHku7ZnlN871h0yYQ328ufJzKAszXZ/vZKDOmqSIiK4GNcOzXr1+Q2exnzUjLly8P8vjx46M27svRsSnzIK/ZVOQYn9cWcu3cuXOQebzsmmJzHh8PiM3WjY00QEIIIYQoHHoBEkIIIUTh0AuQEEIIIQpH1fgApcIzLV+36nW5/VKZMK0tvSUxevToILMPxaBBg3K/w/42Nm0B+3ucdtppUduWW24ZZLbx2zFKhb4zeW3sPwLEduVzzjknyL179476sa+Q9ZHg38x+T9ZHolp9gMpNIWDn+ty5c3OPwf4m7B9kQ5bzfLBshXYOq2cfAhuKzekaOIu4reTO1bStrxofn31P7r333qgfh4RXinJTeOTB94f92qwfTWot8ZrjUOwzzzwz6scpIPh4NhsxV5G/6qqrgpzyqUr58aV8h2rZB8imeOCM15wZ3frGtG3bNsi8rwJAz549g8zrzfpa8j3m+2vD3vl7vEbtXsH+S3x9PJ+AeN5Y3zH5AAkhhBBCNCJ6ARJCCCFE4agaE1hKnWkpNxN0Q0hlDGb1oDXz5FGumaGaOOWUU4LMBVBToZB832woJGfVPeSQQ6K2vNDIVGbwcseZxytVGHX48OFBtqYyLpBp4WOyme+OO+6I+h1xxBErv9gKkpfmIWVmZPOVvQcc8m/XbZ45y64XzmjL12ELYbJKnYuX2gzPvXr1CvL06dODbNMusLnFqv+5L4cHs9msVsgrmmpNGXzv7RhxegI2e951111RPzZvsjnEFozmgsZ5478q1MJe2hCsSZDnIt8365LAa8+mCOC0Dmx+suuX9zSWbRFrXqdszrb9eF/kkPgOHTpE/Tj7dyoFSmMjDZAQQgghCodegIQQQghROCpuAmtI1l4gHYGVR7kZo8s1S9l+rBJsSVFgNlqDTVF77rlnkCdNmhT14/vD98aqMDlKxJqYeJxTBfHKNYHltdn5xapfVgnba2eTgT0G/2aOPLKFXJubvPltTVts9uKxsOOSUrVzxBEf35qs+L7yMaxKnq+dM+Rec801Ub+uXbsGmVXy1pyQOhf/zk6dOgXZro+6OVxugd3GJM+cacmLqEyZlu0YcV/e77goLRCbzvje2+idYcOGBZnH0hbuLJeUWbuW4XsIxL+T9xabMZpNtdYNgWHzFZuVgfxoW2s6tfOoDu999Jmvg/d+ax594403gjx48OCojc3bjY00QEIIIYQoHHoBEkIIIUTh0AuQEEIIIQpH1YTBpyr7Wr+OvBBPS54fkbVnlktDwuBrAc7KCsRh4bvuumuQx44dG/Vj3wL2h7A+I9yvXFuy9bFi/4SUP1feea2/AF9HyvcoBftZsC29ocerFLy22EZv7zGHsPL8tpXc2WeK/buAOJSc+1l/FQ7tTaXAYD8Hvq820y1fe5s2bXKPzWHEdk6wzwrPDw7f5Wtq6D7SFOTdU7snpvyI2Gfj5JNPDvI222wT9eN0B7wO2B/Msv/++wf54Ycfjtq4MnjqWlcldUotYSulsy8d+wBZny1OM2Cfp3zvUv6rfE9Tz1me++3atQuyza7OVei7detW7/cBYNttt633eJVGGiAhhBBCFA69AAkhhBCicFSNCczSGFk+y80YzZ/ZlJMyr7UkE9jMmTOjz4cffniQW7duHWQ2WwD5oelWzc6q2pTJqtws3HnXsLLjl3OuVHZkC5tQys063RTYwqMcHsumInsPWNXOv4GzAAOxaSRlhmCTkr2PnG6ATVu2H5vAeP5Z8wqbxNgkY+csq+itKYDvRyo1Qp0ZoiGpOpoKHr9ys39b2Jx1yy231Pv/QHyv2Fy6fPnyqB+HN999992515QX6m/349Q6q+Us0Tbsmz+zeYxTPwDA5MmTg8wpLYD8Iqep8U+5peSZf234PT9bePysmY8LoKbO29hIAySEEEKIwqEXICGEEEIUjqoxgaXUoFZNl2rLo9zvlNuvJWWCtr+TVdVsguBsx/Z7PH6p8So3asvOBzZP8DFSZsqGFMddFRMd/05W23JEQ1PxxRdfBNPPo48+GrXxGHIUycsvvxz1Y1MG/zab2dpGnzBsHmHzqR1PPhdnvrX3n1Xt3G/JkiVRv2eeeSbIbBpJFZa0mYr5GrmfzZhdF/nW3JmgU+SZ8u04pApesumPvzd79uyoH48lZxm2Zg5eI+ecc06Qn3jiidxrT8211NqvZebNmxd95shKnov2GbTBBhsE2a5Zns8p8yDPr3KzpvO8seuSx4+fH7ZIMfdrymdry5xBQgghhBAJ9AIkhBBCiMKhFyAhhBBCFI6K+wCVW3nd+o2UG46eOtfX9QGxNn5uK9dOWQvhmHmZV4HYvjtgwICojW3/KX+IlA9QXphruaGx5Y5xKgNuqsJ2yieMfzOnRdhpp53KuqbG5IMPPsD06dMBxGHgQJz9OK8KOxDb+blfhw4don58H+y481xifxB7X9kviX17bNh6nq8B+zsAsQ9Bau/gNruG+fdzhmvry1KNpPa+PF89IPbzsak9uI2rdd91111Rv7yQe5tB/I477ggyjz8fGwA23XTTeq/d/sbUHtyQvb9a6NSpU/SZ7xX72PC6tth1yWPJ69764vD9btWqVe7xee9nvz9e8/a8nKHdwv54qX6NjTRAQgghhCgcegESQgghROGomjB4q35NhTrnZeC1GVsZVglaUwYfn+WUWrkWTFvlss8++0SfX3311SA754Jsw2R5zHhMUuYwm701L/Q9VXwvFS6famPKHcuGjHnKpFgpPv/882C26d69e9TG2Y9Z/W2zubK5KWUKZtODXUtszmJTnM0Qy9fBx7fhu3wMnjtW1Z6XkdqGUZeb5oLH0Ba3rdtnqmkPsOsqzyxlSe133MZ7q733bLbkuTZnzpyoH5sV+/XrV+93gPKzvqd+VzWNzapiTYKc9ZyzsFsTNpvHuB8QrzFeK/aZyfPGrsW843HGb17/9pr4d9jUEtOmTQtyz549ozaeK42NNEBCCCGEKBx6ARJCCCFE4dALkBBCCCEKR9X4APXo0SP6PGPGjCCnShCwH4O196fCdZm8MO2UzblLly65x8s7tj1GtXDooYdGnydMmBBktttavxwudcA257xKwUAc0mnh49vxYts025lT52JS/h55PmD2vNZezjZ4HtdUhfRK8dlnnwV7O68dID+9gL3H3Ma/2/qXsM+HDbnnOcHYkGU+Bl+HHU9ePxxua/1y+HOqvEPKt5DPzfPUVtauC++upmrwqX2G90X7m/l79l7x/Ob9+Xvf+17Uj31WUuHthx12WJAvueSSIG+00UbIg6/d7p02FUJLwfr28Jjx/e3YsWPUj0uK2L2KffBS/rBMXpoPIPbbSvXjvZCr1/NzBQCGDBkS5KYcV2mAhBBCCFE49AIkhBBCiMJRNSYwa75Kmbby+lkVaZ55xKr080wEth+ri8s1c9SCCcyqS5988skg/+QnPwnyMcccE/Xje5CqUszhr1ZFyn25zVbx5lB9GzbL5FWwTlFuGLy9djbjlBs+Winat2+PHXbYAQAwadKkqG3RokVB7t27d5CtqYwzPr/wwgtBttXtx48fH+SRI0dGbQ888ECQDzzwwCCPGzcu6rfHHnvU+53hw4dH/Tg8ls0wS5cujfqxKY7TANx7771Rv5NPPjnI1157bdTG85nnxMCBA6N+3bp1A9A845yHvRbOEsymLZtpO1V5nY/Jx5g5c2bU77XXXgsym2gWLFgQ9eMx5z3G7pG8znhcbWi3XY8tBbv3cRV1No/xvgrEGaQ5lQkQr+2UCYzHIm/8gXif5blmw9sZPpfNQD137twgywQmhBBCCFFB9AIkhBBCiMJRNSYwVqsD+VEiQKz6ZDOXjXDgz6mienlYExofw6of86hGk9fK4EJ3bBa4/fbbo35shkhFd7Ea20Y4cOE7Nm3ZQn9sYuLoBzs3WFWbl8kWyM8YbecGzwFrPmA4CqlPnz65/SpJ3e/giIoUW265ZW6bNUUxw4YNy22z5rI6Nttss9zv/PjHP85ts9Ghq0r//v1z20466aSvdexqwprkBw8eHGReS6ns9nb/5MghNq/YKDCO6OH1aNfms88+G+SJEycGeauttor68RpmsxwXzATSppJa3HfreOqpp6LPfA/mz58fZGsqS63ZaoDN4NZNgk1gffv2bbJrkgZICCGEEIVDL0BCCCGEKBx6ARJCCCFE4ai4D1C5ttgLLrgg+sxZLVNhz1yJ1oZJ5mWMtr49eX5E1ueDj5+X8bYlcOqppwaZw6Zt9s66jLhA7KPD/w/E/gnWV4H9uVq1ahVk6zPy85//PMjst2CrD+f586QyDJdbVdrOh1r2MxC1SV5qDw5zBoDRo0c36nl5L7XpQdg/iPdPGzrNa5/9DCuB9WeqJaxvEz93eA8qNwt+tcDVE9j3E4izvNu2SlK7s0QIIYQQooHoBUgIIYQQhWO1ckPCAWDKlCnLACxYaUfRmHQbMGBAh5V3WzU0ls2GxrPloLFsWTT6eGosm42yxnKVXoCEEEIIIVoCMoEJIYQQonDoBUgIIYQQhaPmX4Ccc92dc186575Z+vyoc+7Y5r4ukaY0Zr1WtW0lxzzaOTfh61+dEEKIlk7V1AIDAOfcfAAbAvgcwPsA7gNwovf+vcTXRDPinHsUwNYANvLef7yS7jWJc25nADd677usrG/RoDX7GbJ1+wKA6wFc6b3/Iv+bohrReLYcNJYrpxo1QPt571sB2BbAQABnNfP1rBTnXG1lpGoknHPdAQwD8CWA/Zv3akQzsp/3fj0A3QCcB+A0ANfU17Goa6XG0Hi2HDSWCapKA8R4719zzo0B0K/0Jnus9/4hAHDO/QZAL+/9EaljOOdWB3AGgB8BWBvA/cg0Sm875+4HcK/3/nLqPw3Ab733dzrnNgNwGYABAJYB+JX3/rZSv78D+BDZpNoJwAEAHmqkn15LHAlgEoAnARwFIJSLL92j9wF0B7Ajsr8+DvPez7EHcc4NBTAawJHe+7GmbS0AowAcAmAtAP8E8DPv/Yf2OCVWc85dVrq2RQD+n/f+4dKxOgH4K4ChAN4AcL73/io6z/ml8wDAbcg2i28CGANgLedcnSayj/c+Tost4L1/G8DdzrnFACY55/4E4Ocwa8U5Nx45Y+qc2wDA35GN0RcAngewk/f+C+fcaQBOAtAawEIAx9eNrWh8NJ4tB41l/VSjBggA4JzbBMDeAJ79Goc5uvRvFwA9ALQCUPfCczOAkXS+zZFNhH8759YF8J9Sn46lflc457agYx+GbKKsB6CofidHArip9G8P59yGpn0kgN8CaAvgJWT3K8I5tweyl5/v2ZefEucD6AOgP4BeADoD+HXimgYBmAtgAwBnA7jTOdeu1DYawKsAOgE4CMDvnXO7ltrOBDC4dJ6tAWwH4Czv/fsA9gKw0HvfqvRPLz8JvPeTkd3nYaX/smslNaanlr7bAZn6/gwAXzrnHIATAAws/UW7B4D5TfBzCo/Gs+WgsYypxhegfznn3kI2GOMA/P5rHOtwABd67+eW/IhOB/D9ksP0PwH0d851o753lvxY9gUw33t/nff+M+/9MwD+D9lDs467vPePe++/8N5/9DWusSYpaW26AbjNez8FwBxki4m503s/2Xv/GbKXpP6m/WAAVwLYu7Qw7TlWQ6a9+5n3/g3v/bvI5sP3E5e2FMDF3vtPvfe3AvAA9im9UA8FcJr3/iPv/VQAVwP4Qel7hwM4x3u/1Hu/DNmL2w/qOb4oj4UA6l48w1oB8DHSY/opgI0BdCuN4Xjv/ZfIfBjWArC5c24N7/38+rSJomJoPFsOGssS1fgCNMJ738Z73817f3zC1FEOnRBn4VyAzKSxYWlw/40Vg/t9ZA9pIHuwD3LOvVX3D9kDciM61itf47paAkcBeNB7/3rp882l/2MWk/wBMg0cczKyF6gZOefoAGAdAFNoHO4v/X8er5UWZR0LkM2DTgDqFjW3dS7J9c2VThANpTMyMyMQr5WVjekFyLSFDzrn5jrn/gcAvPcvIZsvvwGw1Dl3S8mkKZoGjWfLQWNZomp9gAzvIxuYOjbK62hYiOxlpo6uyDzil5Q+jwZwtnPuMWQ+QnUmmFcAjPPeD08cu7AptJ1zayOzEX+jZFMGsr8A2jjntvbeTyvzUAcDuMY595r3/uJ62l9HZqPewnv/WpnH7OycW41egroCuBulv3qcc+vRS1BXAHXHrZsrz1NbnamrsGPdEJxzA5FtshOQmST5/iXHtDQ2pwI4tWRyHuuce8p7/7D3/mYANzvnWgP4GzJ1vbR0FUbj2XLQWMZUowaoPqYiM12t4Zz7NmJTVIrRAH7mnNvUOdcKmTrv1pJJBsjC7LsBOKf0/3WhgfcC6OOc+0HpnGs45wY65/o23k+qaUYgU3tujsys1R9AXwDjkfkFlctCALsCOMk5d7xtLI3HVQAucs51BADnXOeS31AeHUvHW8M5d3Dpuu7z3r8CYCKAPzjnvuWc2wrAf2GF1m80gLOccx1Kzn6/BnBjqW0JgPbOufVX4bcVDudca+fcvgBuQZY24CuavZWNqXNuX+dcr5L58x1k8+xzl/GdkrP6R8g26s+b5pcVE41ny0FjWT+18gL0KwA9AbyJzDfj5jK/dy2AGwA8BmAessE5sa6x5O9zJ4Dd+JilN93dkZnFFiIz5ZyPTMshMlPXdd77l733i+v+IXMwP7zkY1UW3vuXkb0EnebqT2B5GjK16yTn3DvIou1c4pBPAuiN7K+ZUQAO8t4vL7WNRBaVthCZD9jZ3vv/lNrOBfA0gOkAZgB4pvR/8N7PQvaCNLekGq4J9W4Tco9z7l1kmtMzAVwI4IeJ/qkx7V36/B6AJwBc4b1/FNnaOw/ZuC5G9qJ7RqP/EgFoPFsSGssEKoYqhBBCiMJRKxogIYQQQohGQy9AQgghhCgcegESQgghROHQC5AQQgghCscq5QGaOnXql2ut1TSBUJ9/viKK7pNPPona+PM3v7niJ6yxxhpRv9VXr//9jo8NAJ9++mm9x/7Wt74V9eNzrbnmmrnX3ph8/PHH6N+//2qNfdymHEuxgg8++OD1AQMGpBI5NohqGc+PP/44yG+//XaQN9hgg6hf3tp86623os/vvfdekLt06dIYl9hotLS1+dFHcUL7xYtX5DHt3r17o55r6dKlQf7GN+IanO3bt2/Uc5VLJdZmtaxLhp93b7zxRtS22morpjOPw/z586N+/PzbZJNNGvkKvz7ljuUqvQCttdZa6Nu3aVLh8Eb46quvRm3Lli0Lcps2bYK84YZxKapWrVYkHuZoN96YAeC111bkfOJz9enTJ+rHE6KpNuOZM2dW5LhNOZZiBVOmTFmw8l6rTrWM59y5c4M8fvz4IB97bJzhYO211673+//617+iz0888USQzz///Ma4xEajpa3NF198Mfp85513Bvmqq65q1HM9/PCKOpmtW7eO2oYOHdqo5yqXSqzNalmXzKJFi4I8dmxcfpFfRo8++ugg//a3v4368UvPhRdeGGQbVc4vVE1JuWMpE5gQQgghCkdFSmHwW2DqDfC5554L8vTp06M2VqVbbcs666yoijFnzoqaa/Ztdvny5UG2ZjTmww9XlBvbf//9g/zmm29G/SZPXlGvk7VLVlPUv/+Kmp9NZSoToqng9bLTTjtFbbNnzw4ym1ROOumkBp2LNbx//OMfg/yLX/wi6sdtonxmzZoV5BNPPDFq23jjjYN8xhkr8tqdfvrpUb/11luv3mNbjdJFF10U5CVLlgR54cKFyOPII1clsbwoB9ay9uvXL2q76667gnzZZZcFedy4cVG/0aNH13vs5tL4NBRpgIQQQghROPQCJIQQQojCoRcgIYQQQhSOivgApeyAt956a5C/+OKLILO9Gci85+uwYZLsY7TZZpsF2foKcXQBh92yXwEQh89zhNjrr78e9dtqq63qvfZXXnkl6sd+SSNHjoQQLQn2wbPw2uI0EvY7vH54bdpUFpx6giPHLrjggqgf+yg8+eSTudcnYp5//vkgc8oBIPbhuuWWW4Jsx5LTivDezNG1QBx9xH5k1j+Tr0k0Pvy8ss9MjujabbfdgrzRRhtF/Xbdddcgf/bZZ0Hm9VoLSAMkhBBCiMKhFyAhhBBCFI6K66tefvnl6DMnOOQQWpsZNpXh+YMPPggyq/NsODrDpq127dpFbayq5WOvu+66UT++RlYD2+RPfC6bdHH99dfPvUYhmhM2ZbDZ+brrrsv9jlWNs2mDYZNXqo2z1ALx2mKzuE16ajNI51Fuio6icMABBwR51KhRUduMGTOC3K1btyDbzMacmJYTyVpXAz7XP/7xjyDbsevVq1dZ1y4aBqeYuf7666O2/fbbL8hsshwwYEDu8bhfNWaFTiENkBBCCCEKh16AhBBCCFE4Km4Ce+edd6LPrCLnqAOrLn322WeD3LFjx6iNo7u4VpA1RbFpi7M6Dxo0KOrHmUzZPGYzQbPqkE1gtrgqm7m46J9tE6KasNGWdXBNKCA2HdkIHjZn5R0PiM3J/B1rKmPzN5vFbT82hXONLluHSSawGL6ndh9j8ybfK7sv3n///UHmyD+bZfixxx4LMhfhtNFnw4YNK+vaRcPYY489gnzooYdGbbw+9t577yDvvvvuUb+nnnoqyLbQcS0hDZAQQgghCodegIQQQghROPQCJIQQQojCUXEfIBvWylXUOfxxwoQJUb/bUR4CAAAgAElEQVT58+cH2foRtW3bNsgcgsf/DwALFiwIMod02rD6733ve0Fme/Tjjz8e9XvmmWeCfMwxxwTZhv5x6Pv7778PUR55YdhAPC48b6zfF/sn8LyxFad5rrzwwgtBttm/OSS3Z8+eURtfI89D68PQoUMH1DIPP/xw9Jn9PGzYO4dIl+tjw/3suHOWWZ4f1veI9xmudm19gOT3k0/37t2jz+3btw8yj8u8efOifptuumm9/Wx4O/ttbbvttkHmyvBA7a+Xaof9eQ488MCo7Y477gjyySefHGR+lgLAzTffHGTOHl1rSAMkhBBCiMKhFyAhhBBCFI6Km8BsiCMXL33xxReDzBmYgdiUYdXsHDJvi6gybEb77ne/G2Qb+sfZqs8///wgc/FFADjllFOCzGrbNddcM+rHZhlW4YuvmqzyQqrtvf/lL38Z5H/+85+5/ax6vhz4GPb6uCCkhdMx8DznwpxA7av0beb05cuXB9malNjky+klUqTMUnw8XvecmRiIC6ByWPbpp59e9rmKCKfpYFMWEJvyOd2InQ+clZv3Y1vUlNcWH8OG359wwglBHj16dPoHiFWGU0bY4qU8zl27dg3y3//+96jfnnvuGWReU3YsU6kwqgFpgIQQQghROPQCJIQQQojCUXETmC0Gus022wSZo6peeumlqN/QoUODfM8990RtHIXC5qe5c+dG/bbaaqsgH3bYYUH+97//HfW75JJLgszmMS7sB8TZSznqx0ZPcJbocos0FoWUCcKas5hJkyYFmTNyW/MjZyVldWyXLl2ifhwVyGNu1ftXXHFFkHlc7Wc239lMubUIR83ZNczjZLNE77LLLkHme8JrFogjgvIKngJxVN6PfvSjIB900EFRvx122CHIXJxTxFiT/NZbbx1kdk8AgC222CLIRxxxRJBvvfXWqB9H9nLUnS2Ezfsz7+9skgFiEyav+8GDB0N8fThq2UZTfuc73wny5ZdfHmQbYT1kyJAg85yyJrVqRxogIYQQQhQOvQAJIYQQonDoBUgIIYQQhaMiBju2K7K/BhD7D3D4pM3Ue9999wXZ2q05BHbatGlBtpl6jz/++CBz6PSpp54a9TvttNOCzGG3NgSar4OzaXLVeSDtyyIaBmf6ZdmmSOAq4zx+Nps4+6RwiCf7M1hsiDxfB89z6zNTi7B/nk1lwey8887RZ/a1Yh+6ddddN+pnw2XrsFnamb322ivI22+/fW4/3ks4FQbwVX+9omEz03PFd7tv8X7Hvjh2jHhtPfLII0G2PkA8B2bOnBlk+4xgXyQO0xeNA/vV2XXI/kGcFsH6WrKfHbfxM70WkAZICCGEEIVDL0BCCCGEKBwVN4HZsGcOHebsz4cffnjUj8NpbUZRDsPs3bt3kDlMFohNU6xKvfLKK6N+Y8eODXLnzp2DbAu53nXXXUHmYn5WjcgqYqs6FA2Dx5lTJtj5xXMvlZGbM5Suv/76QbZjyaayVBZrPp4Nua9FrOmIGTRoUG6bNQfXwWHvQHzv2GyZZxoDgKeffjrIw4cPz+3HJkg2kQMygVkzF5ss7H7HRYKZQw45JPrMJsf/+7//C/J+++0X9dt8882DfNVVVwXZmp3ZJJaaD6JhsHnbZmvnCgd9+vQJ8sSJE6N+bErlzPAygQkhhBBCVDl6ARJCCCFE4dALkBBCCCEKR0V8gDj82PposL2f/Sa4hAEAPPfcc0G26fa33HLLIB955JH1nhcAZs+eHeTjjjsuyDfccEPUj/08Hn/88SD/5Cc/ifpx+na2lVrbOWPDtPmzwuVjUinV2R7Nvli2PAXfX55f1heLfQvYZ8uOCY+t9QFi+BgcWlyrpEq4cIkES15Zi9S9Y6yvEMMlbGyVd/ZlePfdd4NsyywUHRvCzv5v7P8IAM8++2yQ2bfL7rPsZ8WlZHiPBOIweF6ndu/P8z0SjQNXfO/Ro0fUxmuH90y7f/I8svOhlpAGSAghhBCFQy9AQgghhCgcFTGBcRijVWnz5zZt2gR5zpw5UT/OVtmpU6eojUPwRo0aFeQpU6ZE/X7xi18EmU1vHIIJANdcc029bZz9FMgPb7YmMFb9sxkG+Go4dtHh+ZCqJMyq2rxK4kB87/le26rH3I/NtKmUBikzDo+zHfNaJJXNulevXmUdoyEpIFJpCFh1b2Hz9JgxY4LMKn3x1fs7a9asINt9jM2g22yzTZBt1n5eF127dg2yXXPz5s0LMpu9nHNRP84g/uabb9bzK8TXYcGCBUHec889o7Y8dw5rEucUNrW830kDJIQQQojCoRcgIYQQQhSOipjAUlFRrC5j84JVsXHBU2semzFjRpBZzd6+ffuoH2eLHTlyZJDZ/AEAEyZMCDIXfrRFIDljKV+vLebHv9GeK3VvWipssmJTZH2f67CReuedd16QeRzYVArEZi+O6LLRL3kmKzuWfO12LPPmMkfW1CqLFy/ObeMozBR8f6zp10aH1mFNNGwmT10TFydmE1hLKEzbmFgzMxcs5SKkQFwMk9eZje7q0KFDkHkPnjp1atSPI8Q44oxNXkBs9moJWdWrDTZh2ihajpzmgsN2n+YCuPa5W0tIAySEEEKIwqEXICGEEEIUDr0ACSGEEKJwVMQHiP0mbBg82xI5Myjb+m3bAw88ELXttttuQWYb/y9/+cuoH9u72e7JIZ1AnC22bdu2QV60aFHUjzP8ciihzfbMvg/W18H6mNQyKd8eJtXGvj02uy/DYbM8DtZnhMOeeW7YitPsk1Lu77AZTzn7MIcCc7V6AOjYsWPuMasVTjVh4VDnFDz3y80EbftxGDxjq85zOO/PfvazINtQbJEPh6kDsU/QoEGDgnzzzTdH/Xgt8TgsXbo06scZow8//PAgT548OerHaRb69u1b1rWLNOzPumzZsiBbv8YXX3wxyEcddVTu8Xhd2YrytYQ0QEIIIYQoHHoBEkIIIUThqIgJLK8gIhCbLNjcYMNkWR1rw25ZZcqq2Y033jjqd9ZZZwV5k002CbI1y2244Yb1Xoc1h7AakcOeOZQUAAYPHhxkq9JPmViqhTxzRaqwbYpzzz03yGeffXbUxvODTVvW9MFmRg7JtdfAYZ1sRrXhnpzGgNW59rw8V2wbh/WyWvl///d/o362mG+ts9VWWwX5jTfeaNRj2zmWNxevu+666DOvdSZV1FXE+6c1F/KaS6X94ELFvA5sCgI2nfIatvsnp5Go5UKb1QQ/dzl1jDV18zOOU7bYcbCuB7VK9T+NhRBCCCEaGb0ACSGEEKJwNLkJjIuosUrURhawmt0WX+Qom5///OdBtsUSOcLokUceCfLo0aOjfo899li95+LIIyCOEGPTiFWzp6LAqlF1mIrUK5ff/e53Qf71r38dtfEcsPeUz8UqeKuO52vke2oza7Nqne919+7do358DL4+a3JhdbGdyxzlwsezRXlrkbzoKwtnZU8dw0ZK5mWCtvc/r3jwQw89FH1mExibp5UJOg27BtjoRY50ZVOnjWrkaNnnnnsuyGwOA4DWrVsHmYuwjhgxIur3t7/9LcjWdC0aBj93Obu2vb+8djhDty14yntrLZsppQESQgghROHQC5AQQgghCodegIQQQghROCriA5QX6g7Evhxsb7R+KJzp1dr7zzzzzHqPcfHFF0f9dtpppyCzPdP6FfTu3TvIHEo/dOhQ5MGVxq1fC4eJWp+GasxMm/L5YR8b9rcCgEsvvTTI7B/DaQVsm/39qbQDDM8plq0vSZ7fCVeYtt9LhbpzPw4RtdfBv9FmwK1FeH6n8N7ntlm/gXKw+0De/LDZgxmesy1hLCoJh6CnUpawD9APf/jDqB/7Dt17771B3nfffaN+PXr0CPJf//rXINu1yXu6vSbRMDjcPZXlndcf3/vFixdH/XhtL1++vDEusVmQBkgIIYQQhUMvQEIIIYQoHBUxgbGq2qrBWT3Nqk4LZ3+2pq3tt98+yDfeeGOQbYg5h9JzP5sxmoumcggzfx/IL5ppC22yCYyPDTTMLNDUcLbma665Jsg2pJhNfxxOaceBTUccVg7E95HnhjUdsikqVWSTx4jb7DXxuPB5rUmNTXbWdMpmIj6XvU8cTlwr2PQCedjQaabcAqh8z60ZlI/Bc8ce24Zc18FpEcRXQ5anT58eZFskmgtUc5FhW4iWQ995L3znnXeifry3durUKcgcEm9h05t1NRDlwwVLeR3ZTO5sMubv2Gc1jwWvMbveqn3MpAESQgghROHQC5AQQgghCkfFM0Fb1RmbItgMwZkqgbgw5pgxY6I2VplzVucddtgh6sfH32KLLYLM0Qj23HmZZ+1527dvH2RWFQKxl30tFD+1mZs5qzNn67amPr4fqeg2VrmmMmGnTFspM0keKVMsf2azmTUR8DGsOZPNRKloFY60qZXMtqkCsUzKBJaK1mNSpjJej2xytJFDfAyWt9tuu6jfySefHGRrWi8Cdg6n9irOns4mxrlz50b9eH5wlmGb/TsvAtiuTT4eRxly0VWxanBkLq8PGyXJWb7zxguI90l2+bBRnNVO9T+dhRBCCCEaGb0ACSGEEKJw6AVICCGEEIWjIj5AbB9MhRVzdWAbdst+IzazMGd17tevX5CHDBkS9ePq8Ntuu22Q2ScDiMPdjz322CC3a9cu6nf11VfX+x3nXNQvVa283NDgSvPuu+9i3LhxAIDbbrstattss82ifnVY/x1r468j5UeV8gHitpQPUEPszPa87HfAc9L6QfB5ra8CXyP7AK277rpRPw4Ttj4p1QSH78+ZMyfINgM28/jjj0ef8/yFUj5AqfHke8y+dtYHiOcp+zHw/wNf3UuKhl2b66+/fpBt+gb2+eNs+TyfAaBnz55BZj8t24/9OnnPtOPP4fPTpk0L8n777Qfx9eE1Ycec1w6vZZ4nQOw7xM8Bu1fw8aoRaYCEEEIIUTj0AiSEEEKIwlERE1hKpZ2X/ZnNYUCs4rbHY7XdFVdcEWTO9gwA/fv3D/Khhx4aZFsMjtXs3GazWi5atKje67Vh9Wy+s6r/agkTXH311UNItjXZcHZQ/p02hDYv9NgW0rTfK4eUCSzvvEBswuLwTKv6Z3MWH9uGs6fCdZcsWVJvm02LMH78+CBXswmM5zunjUhlL7dhtDz2eVm5gbRJLK9fKtUCm+LYJHP88cdH/U488cSyzttSeeWVV6LPvJfaectZorkw9NNPP517TC6UajNBc0j7gAED6j0PEO9HqcKdonx4/XHxUvs84mcc76VsvgRiUxePa9++faN+9tlYbUgDJIQQQojCoRcgIYQQQhSOipjAUpE+ecUvObOy/ZxSwbP61Bba3HzzzYPMkWNW7cfXyzIXAwRiMwqrFN96662o3yabbFJvP3v85mTdddcN6kqbEffyyy8P8vPPPx9kqz5n7382NxURnit2fo0cObKpL6dBsOno73//e4OOwSZDvg/W5JWXzdveuzxzp13rzz77bJCPPPLIIBfd5GWZOnVq9Jn3Wc76DgCPPPJIkHl928geHlvO2m+LpnJUGRdGtQU5OTO/itk2DjxGbAKz65BNjmxytkVNeZ3Onz8/yDbCutqRBkgIIYQQhUMvQEIIIYQoHHoBEkIIIUThqIgPENuLUz4wtvI2w+G0NlslhyqzvXjLLbeM+rE/Qupc7NvDss3iPHz48CCzDXThwoVRv86dOwfZhoLa7NLVwLBhw5Kf8+Cx5bBIO15sV7bjwLbpPBmIxyXlR8VjxnODq1kD+T4odr7yHLLh/R06dAgyV3m3Yf+cRZd9H2oVHmubITYvY7e933n3P5VFnMfCfp991UQ+1leP57v132BfH2777ne/G/VjPyJOSzJw4MCo3+DBg4N85513BtmmUuBs3ZyOQTQOvH9anzvO/swZoxcvXhz1472PfbvmzZvXaNfZFEgDJIQQQojCoRcgIYQQQhSOipjAWIVpzUN5KvI+ffpE/diMYs0SedlmbdZQm9m0Dmva4syjbMpgEwoQhwKybM/Ln21m4bZt29Z7TbUIjyXf67z7LmoHXiM2ezuruVNrrtys53nmMHsMNo9ZM2Otqd6bC5v1nfdWG97OZg/e063JavLkyUFmE4rdZ7mwKY8luwwAcYoDG0ovGkaeW4pde7yuOM2JTVXAx+CxnDlz5te/2CZEGiAhhBBCFA69AAkhhBCicOgFSAghhBCFoyI+QGwftPbijTfeuN5+1m+E03DbUFu2Z7KPgPVVYHs32zpTvglsz7TXxPZoPp7tx7ZzW06j3CrYQjQnqXnK5QlSYeupdVZuKQz+zOG7tjyO9VHIg/ecIq5F9usAYp9Hm7Kje/fuQeZ9fPbs2VE/Tu3BPo825QWPGe/pduz4e1zCSDQcfmayj5X10+K1zb62Nn1L3jPOhstXO9IACSGEEKJw6AVICCGEEIWjIiYwDmu0qmpWkbLpyIZgcjXqLl26RG15GYPZbAbEKl1us5WkWY3PKncbfs/q4379+gV5yJAhuf3suayZTohqxM59ZtKkSbltHEbLx7DpILgfrznbL8/EZvvZ8O48+Fx2byoCrVu3jj5zFueXXnopauvbt2+Q99lnnyBzFmcg3u84i/wzzzwT9ZszZ06Qd9xxxyBbN4H7778//weIBsEV4PkZxNmegTidBJucOdszEKc74HWkMHghhBBCiCpHL0BCCCGEKBwVMYGx9/imm27aoGMcf/zxQX7qqaeiNo7GYjW7VedxpAH3s8U6WYXHqnnr+b7LLrvU+x2LVRcKUWukIqSOOOKIIJ9xxhlRW57ZOWVSKxeOHLOmZY5SevPNN4NsM683xnXUMta8xGaqbbfdNmp78skng8wmRo4UAuIx33rrrYNsTVtsYuvUqVOQbVZvPq8t3ioaBo8Zm4GXLFkS9Zs1a1aQOUKM1xQAPProo0H+6U9/GuSbbrrpa19rUyINkBBCCCEKh16AhBBCCFE49AIkhBBCiMJRER8gxtrcy82+yqF622+/fW4/9jOwdkq2TedVLgdiW7UNr82job4ERcw+K2oP65fBbLLJJkG264B9SqZPnx5kmyGW1+ayZcuCbMPeOdyWs8izDAAHHnhgkK3fD1PE0Hdm1KhR0edzzz03yJwVGoj9rB555JEg9+jRI+q31157BblDhw5B/te//hX1O/jgg4PM4fLWZ/L9998PcirTuCifgQMHBplD3SdOnBj14zYOnbd+s8cdd1yQ2QeI5VpAGiAhhBBCFA69AAkhhBCicKy2KqacKVOmLAOwoHKXI+qh24ABAzqsvNuqobFsNjSeLQeNZcui0cdTY9lslDWWq/QCJIQQQgjREpAJTAghhBCFQy9AosXgnJvvnNutua9DCCGqDedcd+fcl865ekM8nXNnOOeuburrak4qHgZfSZxz8wFsCOBzAJ8CmAjgOO/9K814WQKAc24ogD8C2ALZ+MwEcLL3/qnkF0XN45w7DMApADYD8C6AqQBGee8nfI1jPgrgRu99oTboakDj2Tw4596jj+sA+BjZXgoAP/beN2rdCe/971dyPd0BzAOwhvf+M9N2JYCnAXwC4Fjv/dDGvLZK0RI0QPt571sB2BjAEgCXNfP1FB7nXGsA9yIbi3YAOgP4LbIFXPXk/YUkVo5z7hQAFwP4PbI/TroCuALAAc15XaJhaDybD+99q7p/AF5G6VlX+tekRbfK2BP3BHBfU1xLY9JiNnrv/UfOuTuQLVY45/YBcC6AngDeBnCN9/43df2dc0cC+B2AVqXv/BeyN9eHmvjSWyJ9AMB7P7r0+UMADwKAc+5oAMcCmITsnr8F4Hjv/ZhS+/oALgSwN4AvAFwH4Gzv/efOuZ4ArgKwNYAvATwA4P9579+yF+Cc2wzAGACne+9vcc51QvZCtiOA9wBc5L2/tNT3NwD6AfgIwP7I/trVX6arSGnszgHwQ+/9ndR0D4B7nHNrATgfwCGl/78NwGne+4+dc20B3ABgELJ96XFk2txXnXOjAAwDMNg5dzGAv3vvT2iaX1VcNJ61iXNuO2QvqX2Q7b03ee9PoS6HO+d+h0yrdJH3flTpe78B0Mt7fwRpe44FcDaA+QC6l77/lnMOAIZ7759wzm2FbB9fD8BfAaxR0l595r1vU5pHlwHYC8AHyPbw33vvvyg9D34E4BkARwJYhGxPf7ix70t9tAQNEADAObcOgEORPVgB4H1kN7QNgH0A/MQ5N6LUd3NkE+RwZJqj9ZFpKUTj8CKAz51z/3DO7VXaDJlBADyADZCZya5xztWlyP4HgM8A9AKwDYDdkS1CAFgNwB8AdALQF8AmAH5jT+6c2xbZC9eJpZef1ZFt2tOQjfOuAE52zu1BXzsAwB3I5kttlTSuHoYA+BaAf+a0nwlgMID+yF5itwNwVqltdWQvu92QaRk+BHA5AHjvzwQwHsAJpb9+9bBsGjSetcklAC7x3rdGpgC4zbQPBeCQ7YO/ds71TRxrJ2R77R7I/ngEgDalcXui9HlvAP/23s8EcByAJ0rtdSUWLkP2jO1ROt6RAH5I5xgEYC6y58HZAO50zrVbxd/cIFqCBuhfzrnPkGlyliIbKHjvH6U+051zo5Hd/H8BOAjAPXU2bOfcrwGc1JQX3ZLx3r9T8gE6Ddnb/kbOufuQvekDwALv/VUA4Jz7B7KX0Q2dc18i+yuhjff+QwDvO+cuAvDfAP7mvX8JwEulYyxzzl2IbMEww5Bpln7gvR9b+r+BADp4788pfZ7rnLsKwPeRaZGAbNHW5e7/sBFuQxFpD+B16x9AHI7spXQpADjnfgvgbwB+5b1fDuD/6jqWtARj6z2KaCo0nrXJpwB6Oec28N6/jhVKgTp+W9pfpznnpiF7eZ2Zc6zfeO/fB4CS1qc+9gFwRn0NzrlvIFNMbOO9fxfAu865PwH4AYBrSt2WArjYe/8lgFudc6eWjnnDyn/q16MlvACN8N4/VLrRBwAYV9LwdANwHjLTxpoA1gJwe+k7nQAER2nv/QfOueUQjUbpr4GjgWCOuhGZqfEBAIup3welhdUKmb/QGgAW0WJbHaWxcs51BHApspec9UptcQG47C+QcfTyA2RzoZNzjk1l30D2V2gdcpz/+iwHsIFz7ps5D81OiJPCLSj9X50G9yJkvgR1GsP1nHPf8N5/DtEcaDxrk/9CZrqc5Zybh+yF515q58J8HyDbe/NI7ovOuTbInOMn5nTZANnz184Ttri8Vnr54fZOqfM2Fi3GBOa9/7xkp/4cmYrvZgB3A9jEe78+MttknZllEYAudd91zq2N7K8dUQG897MA/B3Zy2iKV5A5Sm/gvW9T+tfae79Fqf0PyHx/tiqpd4/AijGt4zgAXUuaIz7uPDpmG+/9et77vamPMoJ+fZ5A5kc1Iqd9IbKX0Tq6lv4PAE5FppYfVBrbOnV73fhqfJoejWcN4r2f7b0fCaAjMh+tO5xz6zbwcF/myHXsAeBheqm1fV5HppGy8+Q1+tyZXCDq2heiCWgJGiAAQOkG7o/sr42ZyDQEb5Sco7cDcBhKjrjIfD0mOee2Rxa691t89UEqGkhJ47MPgFtLTo+bABiJr6piI7z3i5xzDwL4k3PuV8iclTcF0MV7Pw7ZmL6NzAmvM4Bf1HOYd5H91fmwc+487/3/AJgM4B3n3GnINEifILNrr62w/MbDe/92yZz855JZ+kFkm99uAHYBMBrAWc65p5BtlL9GphkEsrH9ENnYtsNXTZtLkPkQiCZC41mbOOeOAPCA934Zab0bQ+u2DFlgSg9kfp5Ats9z9NcSAF2cc2t67z8pBa/cBmBUKfCoHbIgk/+l73QEcJJz7gpkL9t90UQRZS1BA3RPyeP8HQCjABzlvX8ewPEAznHOvYtsYQZHsFL7iQBuQaYNeheZHbImwrRrgHeRObY96Zx7H9mLz3PI/ipcGUciU5m+gMy8dQcyR3Uge1HdFtlL0L8B3FnfAUpRYcMB7OWc+13pr5P9kDlrzkP2V8nVyBzzRCPivb8Q2QZ3FrIN8xUAJyDzvTsX2R8c0wHMQBb5cW7pqxcDWBvZ2EwCcL859CUADnLOvemcu7TCP0OU0HjWJHsCeL70XLwEwPe99x993YN67z9A9ox93Dn3lnNuCLJ9lsf2EQDPA1jsnHu99H8nIgtKmgtgAjLrzLX0nScB9EY2V0YBOKjkQ1ZxVAsMgHOuFbIwvt7e+3nNfT1CCCFENVOyrFzuvd/uaxzjaDRj4sQWYwJbVZxz+wF4GJnp63+R/QUzvzmvSQghhKghrGmzpijsCxCyiLEbkL0APY1MTSh1mBBCiKrGOTcGWTSs5fcrK2nRWHjvJzfFeSqJTGBCCCGEKBwtwQlaCCGEEGKV0AuQEEIIIQrHKvkATZ069cu11lqrUtfSINiE98EHH0Rtn3++IvUBX3e1/YYUH3/8Mfr379/oOYqqcSyLwAcffPD6gAEDOjT2catxPD/+eEVWiffffz9qe/fdd+v9znrrrRd9XnvtteuVq4Eirc2lS5cG2Y7DN7+54jHC+/GHH+ZXlGnfvry8s3y81VarbKq2SqzNphzLjz5aEen+5ptxgvyNN97Ydm80PvnkkyAvXrw4auvQYcXtbMr1W+5YrtIL0FprrYW+fVN105qeTz/9NMjTpk2L2t57770gb7jhhkHu3r17xa+rsZg5M69Ey9ejGseyCEyZMmXBynutOtUynvzAWrBgxU+dNWtW1O+xxx4LMv+hsvPOO0f9ttxyyyBXw+9jqnlt5r04WJ/Pcl8qHnrooSD36xcndOe9lffj+fPn5x5v6NDyop55bnzjG98o6zsNpRJrsynXJa+xMWPGRG1nnFFvqa5G4dVXXw3yNddcE7X993//d5Cbcv2WO5Y1GQU2fvyKEk533HFHkHv27Bn122ijjYJ8/fXXB3nAgAFRv5NOWvU6qLyR2E1l9dVlWRS1Teovb/6L77zzzovapkyZUq+8xhprRP1YO8B/Jd53X5wAlv+q/bOqXbAAABsSSURBVM53vhPkY489Nuo3fPjwen5Fwx/4tQ6/OPB+lNqbli1bFn0+4IADgjxnzpwgW20e77vrrLNOkK0W4p133gnyn//85yCfeeaZUb999903yJV+6WlJjB49OsiPPvpobr/Gfhm64IILgjx79uyo7Z///GeQ7YtzNaAntRBCCCEKh16AhBBCCFE49AIkhBBCiMJREz5A//nPf6LPt9xyS5DZB4F9CSyHHHJIkM8///yo7eqrrw6y9S3Ig30JiuJXIFo25UbcnHzyyUFmXxMgju5i3w4bEfTSSy8Fed68FeX32OkZADp27Bjk6dOnB5n9HQDAex/kE044IffaiwJHZjEcmQfEY8mOzkDst7XmmmsG2QaRcOQP+/m0atUq95o4quymm26K+l1yySVBZv/M/fbbD+XyxRdfBLkoe/Umm2wS5E033TRqu/3224P8ve99L8jOudzjpfaDcePGBfnee+8N8m677Rb1s3Og2pAGSAghhBCFQy9AQgghhCgcVWsCY5X5k08+GbVdeOGFQV5//fWDbENe+TOHf5522mlRPw4LfOqpp4I8cODAVb1sIVo8vObY9AQAZ511VpDZPLb77rtH/TgxG5srbIg1m7o4R9Bll10W9eOQ7aLA9y0V3n7KKacEeerUqVEb3+/BgwdHbb169QryqFGj6v0OAKy77rpB5mS0Ngye2zp37hzkrl27Rv0WLlwYZHZPuPTSS6N+//M//xPkXXfdNWorYiqSt99+O8jf+ta3ojYey+22267e71hS5kKeU9/+9reD3KZNm6gfj2U1UrxZIoQQQojCoxcgIYQQQhSOqjWB3XjjjUFu165d1MYqeCaVkTnl0T5kyJAgcwbNck1g9rxMS446EC2LcucqZ13maC4gjtjkEgkWzvDLtZKWLFkS9ePjc2kNjg4DgB133LHe8xR1/f36178O8m233RZke584+7ONtu3Tp0+QObLuoosuivp99tln9cpsogPiffvss88O8tixY6N+ixYtCjKb1+zxOIJtwoQJuecqIlwGCgBGjhwZZI72Y3MYAEyePLne49nIP47244zvxx9/fNTPPrurDWmAhBBCCFE49AIkhBBCiMKhFyAhhBBCFI4m9wHi0NhUpV8OmbT2xzwaGvrIPg2PP/54kN94442oH9szy82aK0StY7Muc6oI9tGwn7fffvsg2zD1+++/P8i8fvbcc8+oH/skcDoMrgwPxBncf/KTnwTZZqatdfJSe1h4jDi7NmfdBmKfK5uqgPvyWH73u9+N+t15551B3mijjYLMGaKBuAI8Zwxfe+21o37sk/nKK68E2YZ2c2bpa665JmrjMO1y0wXUOuzPZf2l3nrrrSBzegL77Dr33HODzH5E7H8HxPOQUyvMmjUr6rfTTjuVde3NRcudDUIIIYQQOegFSAghhBCFo8lNYHkqSKsuZROYVbMz5ZqiUm2sWl1nnXWCbEMr999//7KOJ0StM3v27CA/9thjUdsGG2wQ5NS65SKXNlPvnDlzgszq9b59+0b9OLPsp59+GuTevXtH/Xg9XnvttUHu0aNH1M9+binYcZg/f36QuUjmRx99FPUbMWJEkLfddtuojcOl2fx48MEHR/14zJ955pkg28LSPG+ef/75IPOeCwD9+vULMrtMvPzyy1E/rhYwZsyYqI1NYC3Z7MXMnTs3yOutt17UxsVQDz300CDbFC5cAJdJpXq5+OKLg8wZp4GvupFUG8WYGUIIIYQQhF6AhBBCCFE4mtwElmc6spkrWfXdGCpMVuGlMkZzFIMt+idEUeDIDpvRuVu3bkFmEwUQR5uwucVmGeaMwWyu4GgjII4w4mghq1rv0qVLkFkNbwsp17oJjKN7OIp2+vTpud/h/Y4z+AJxpm0eEwD4+OOPg7zmmmsG2RY53WeffYI8adKkIPM8AYAZM2YEORVh9MQTTwSZo9Rs0VS+ptdffx1Fwz7HeO3ZTNhcfPi4444Lso3S4sKmvH65MgMQmzp53nTo0CHqx1m9qzFyWhogIYQQQhQOvQAJIYQQonDoBUgIIYQQhaNqqsFbmyDbnzkb6Mq+V06/1Hc4lNCG5IriwfOQq5Zb2JbunIvarrzyysa/sArDWYBtVlnOOGv9g9ifjiu2W386zuL72muvBfm8886L+rFPQefOnYNsswdzKDZfb0vzDcnbu9j3Boj9gzjrsp3DHI5u99mjjjoqyOxfwuHxALDDDjsEmbNEc1Z9IA7N5pB7u154zDiLNe/NQDyH2FeoKPDYAXGlAk4RAMTh7Zx2wKYP4Czc7N932223Rf1at25dr2zPy5/5ejnVQXMiDZAQQgghCodegIQQQghROKqmGCpnLgXiUMtUQUM+nlUP56mLU2HwXEjxr3/9a9SP1XlWBS+ajrFjxwa5ffv2URuHbv7mN78Jsi3oacNE80iZvXh+sCnIhhPXIpxZmFXrQBxaPmjQoKiN1esccm0zEPP94nXFhYmB2HTGJg87LmyW48zuy5cvR0siLyWILULJJg82D9m0Ba1atQpy27ZtozY2ibE505o5br311iCzaYNDpYE4xcHbb78dZM4KDgA9e/YM8syZM4NszZlsHmUTXVHglC1AbPplkzAQPwvZZGWrLORlbrbn4jnAa9QWrOVnrQ2RrwakARJCCCFE4dALkBBCCCEKh16AhBBCCFE4KuIDxHY/a3NmOz7D6c+BuNpzKmSO/YjKJRUGz+nbbWXcM888M8gXXnhhkFOVcqsl5Xetc8899wT5uuuuCzJXmAbiStXsc2BLBQwbNmyVr8Gmg7/++uuDzKHAU6ZMWeVjVwN5PjvW343nO4dYA7FPAVfvtn5E7G/CvgHWT2DatGlB5n3A+sKwTwn7tdgSOy0VO7/Zz4N9gGwZC/bf6N69e9T24osvBpn97rbeeuuoH/vmPPXUU0G21eX5Ojgk3q5h9vvh8H7+TUCcooKfF0BcXsOW5Ggp2PvG98M+F/lZxr5CKb9ZPp59xrGvT8oPl8fMpsyoBqQBEkIIIUTh0AuQEEIIIQpHRUxgrAbLM3kBcfjjCy+8ELX98Ic/zP0eh7ayCp7VqkAcKssqu9Q1Meecc070ebPNNgvyGWecEWSrihQNg1XkEydOjNpYBc+q9XvvvTfqx+GwI0eODPLkyZOjfnz8XXbZJcis9gUA732Qr7322qiNsz/bkN9ahFNRsMrbmsA45JyrTANxBum89QfEKvlPP/00yNZklRc6azP/csg2Z4zmYwPVWZG6MbAV1TmDMs9pm46ATZE8rkBsVuK0ETbknk2OfL+tGWaLLbYIMmcFtmvu1VdfDTKbTm1od+pc9phFoFOnTkHmdQjE6Sn4vqXC1lPPybzQdzajA181q1Yb0gAJIYQQonDoBUgIIYQQhaPiUWAPPvhg1MYe6I8++miQbcQAR9JMmDAhauMIEDaBWVU9q9Nt9lKGVfWsSmWTFwCMGDEiyFdffXWQv/3tb0f9OJPppptumnteERc4vO+++4LMBTKBOLsyRx0cccQRUT+OFvvVr34V5N133z3qt/nmmweZTarWRMCfDzvssKiNzbasBuaIpPo+VytsYvjkk0+CbCOuuM1GebJpqn///kHmiDAgjgixxVYZNoGxicZm8uY1zMezWbmXLl1a7zXUInfffXeQrSmS9zHO7mv78f1J3Q/eC212bZ4PvA5slmHO2s4mUBvBxWZsHnM7lnwMa/LiZ0afPn1QBPj+2uzaa665ZpB5T7PPRTZ78XPcRkTnRV/b49lM/dWGNEBCCCGEKBx6ARJCCCFE4dALkBBCCCEKR0V8gG666aYg2/Bj9r1gvx9rf2Z/BGu3Znsk2xytrwKH+7H92NqSuR/bszkcEwAOPPDAILOPyuzZs6N+ixYtCjJnRgWA73znO0EuSvg8h0w+8sgjURtn+mVfGZu91TkXZA45HzNmTO55eZz/8pe/RG0839iebc/bpk2bIFvfB/Yx4+PZeXjeeecF+aCDDsq93uaGfQPY/m99dHj92SrcXDU6b50C8TpjvwMbBs9+JFyh3t5jHmtez/baORNyrfsAcWoI9vEAvuqbVcfRRx8dfR49enTuMXhsU2HlHErP42d9gHhfZH9NTlsAxH5knLHd+oLynOJ1CsT7wjHHHJN77S0J9r+y64PXNu93dp7w91IVHRj2v7PrPFUloRqQBkgIIYQQhUMvQEIIIYQoHI1mAjv//POD3LVr1yCfdNJJUT9WpaWK9LFa1WaXZPU5q2atypXVbymVPsMqQJuFls/Fql6b7ZLbOMwbiIuonnDCCUHmLJ61DoeiA8Dtt98eZJt5lE1bPDdsZnA2e/EY8VwDYlMIZz+1c4PDsrmY48KFC6N+rFq3mVHLLcRrz12t8LzlcWLTExBnULZmky5dugSZ14sNo+Ws7Xxe249V6rzOXnrppdxr5/Vtj9eSiqNy2ghbbDbPZGHnLJunLXzveO7z/gvE7gq8V9t9lk0lbJKxeyRf48CBA4Ns1yZnv7bpRu6//34UDR5zawLj8Uu5g/C952emHXNe99zPnpf34GpEGiAhhBBCFA69AAkhhBCicDTYBHbqqadGnzligFViM2bMiPpxdliOBLCmET4eZzK1x2c1rS2Wx1miWbVn1eKszmP1vi0wyGp7Vh1az3eOdthxxx2jtj/84Q9Bvvjii4P8xz/+Ec2FVZezyYMLHdqs3hwJxxFtHNkFAAcffHC9/YA4YymPuVXNcvQgmzGsSYNV6xxVxup3II48YdmqbNkEljIX8Py18yb1vWqCTVacwdWOBWPXEsPrwt5/PiaPU+vWraN+vB75XDaCa+bMmUFmc7rdV3hPqHV4vdiMu7xn8j2wWesvu+yyevsB8XzgyDpbYJajZdlU0qtXr9xr5/lgI8zYnMd7DO8BADB9+vQg29/fkkyd5cJrwK7LlFmY4XVp12xeP35+2ILknHm9GpEGSAghhBCFQy9AQgghhCgcegESQgghROFosA/QddddF33mDLdsx7f+A+xfwv4Wtrozh+3ZEE/2HWL/Chviyf4mbLe2Pi82vLm+YwNxuDSfy/oesU8Jh/oDcWZTDmO1GaM5/LMSfPLJJ8G+biuvc8ZjHj/bj30Gnn/++Xr/H4hD2qdMmRK1sa2ew1xt1mX27Un5pHAbf8dmirXXmHdevib7HT4m+6RYXwWbXbpaybuvHTt2jD6zH40Nj80Lo2W/OCD22UhVb+ew2lT4LvsK8fWxD1t911vLsO+ivR+87+y9995B3m677aJ+fN8s7Eu1ySabBNlWGud0IeyXxPu0vUZ+Rtg0J+x7wtfAlQMsnIEc+Gr1gCKQ8n3j5x+vUZuqgOcUrxV7PP4e77M2Lca8efPKuvbmQhogIYQQQhQOvQAJIYQQonA02ARmMzdzKGPfvn2DbMPgWaWdKt7GZimrRmOzCYfd2XBKbkup7Vltx6a4ckNLUyYZNpsBwJAhQ+rtd+2110afK20C++yzz4Ka3JoJ+N6zaceGHnP4Mt8Pqy7l8WJ1fH3XlAerWfn67LnyMp6WizWH8nnLDa218zDPxFpt5IXH8j0A0hlnWb3O5hB7D9g8wqYyO2ZsDuF+1mTOKnk+ly3GmMoCX2uUW+A5VdA3tX+yaatnz55BfvHFF6N+vC449YFNacB7YZ6ZHYj3Y56TqbB6a+Lma+frs3tdLWOfLcuWLQuyNbvzvOcxsmk/uF+5a4XHL5XOhp/BNly+uZAGSAghhBCFQy9AQgghhCgcq6SbX758Oa6//noAwE477RS1cTE6ztBpTWVWLVqHjZZitZoteJkXnWBV9azq44KUVm3P6nhuY5UiEKtSU6YWViVbr/jnnnuu3nNxNlUA+P3vfw8AGDx4cGRSbCw+/fTTcB+t+ph/z/jx4+v9fyC+33myPb6N1ON7Va7JKi/bM/DVLLV1WPNOXlRg6jemTFn8PTuXOSpwm222yT1Gc8O/j01P9vewmttGaPJ48L2z5lNWjfOcSBWc5XXfu3fvqB+vbzZx23GvFXNkOfAY2X2V7z1nf+b7bvulClc+8sgjQbZRr2wqYdNTKlKPxzW1J3DkKUeaWp544oncNs5G3JJMYLaILO9pNrrPPvPqsJHOPAf4O3Zf5THnftZsxvNr1qxZQa60i0e5SAMkhBBCiMKhFyAhhBBCFA69AAkhhBCicKySQXzNNdcM4XXWhsc2eA5xtLZDtuOzf4ytqD579uwgW7+Jl156KcjlhtCyndn6qLDNmdusD1Dbtm2DzHZwe14+l806zdfLvgr77rtv1O/HP/4xgLjCb2Py0UcfwXsPAHjmmWeitj59+gSZfSh4jIHYfpzne2P7pcJ1GXvf7JjlHS/vGDZktNxweW6z9nK+dr5P1s+iVvwO2JbP98euTQ5htRWjuS/7g9hj5I27DVvndcZ+Dfb7eeHX9t7bUO9ahu+H9eNj2IfrwQcfjNp4LO095TVnfTkZzi7NWaKtbw8fg/eSTp06Rf143U6ePDnIPXr0iPrxmrM+L7xvsh+RPUYtc8stt0SfOfTd3g9+1rDPq+3H64P3AzuWvE7zUlAA8TN+4sSJQZYPkBBCCCFEM6EXICGEEEIUjlUyga233npB3fmf//wnauMip1yYzqpVWcXGRfBs+BwXMuUMkgAwderUIG+11VZBtlkorRkl75pYPcgmDzZ52eNzPxtimDIHscqZ1fY2s22l2XDDDXHyyScD+Kpph01itgAqw2OZMpkwqXvDpArbpvrlFTm1qRS4Xyo0mvtZMxx/jzPl2pBvNinaYrDVBKur+bfZzOk8h+39zjPxzp8/P+q32Wab1XsN1hzJIcxsvrDmWDZ7sVrfpqFIzc1agO8Hpxywex0XA+VixHYceN7a+c3f43QjNiMz31MeP1sMlVOlsIuDXS98TWxSswVPOWTbzoett946yNYk3VKYNm1a9JnXZSqLM7fZecMmbW6zqQ/yqjjYfrwuU2kMmgtpgIQQQghROPQCJIQQQojC0eC0qFa1zJ9ZDW6LnnFkCKtwbcQVY9tYHcuqOFvoj9WibM6ynu98vdxmI1JYRWyPwbBq1pp8WK1o1bbNhb2OYcOGNdOViOYkL8rKrgMmFV3H2DmWt35sNmI2fXImdpudmqO9rEmXKdcEW63wPeB7aseII6TYLMXuAwCwyy67BNlGyLGpi/dxux/zPs7mFWt64s9sKlm4cGHUj01dL7/8cpCffPLJqF+/fv2CbM20NjqxpcCuJtZ8lTI/8rjw2rPuG/Y+1mGf93yulAsBuyjwvFm0aFHUj022TYk0QEIIIYQoHHoBEkIIIUTh0AuQEEIIIQpHg32ArO2QbdNsj7ehlXmZm23IOR/PVr3NCxm34ZR52S+tj0BeJmDrL8C2Uz6erTjNv9Eeg30c+DfmhQUL0VTwnOY1kZrDNgye+7IfhvUF5H68l1hfFr4m9lGx6Q/YH4Z9Tez+Y/eZWoP3DL73dozYd4bD2UeMGBH1e+WVV4Js/TB4LPg+2srznMmZM1IPGjQo6jd27Ngg8/hZXyFu4+v9xz/+EfXr2LFjkLfffvuojff4vCzytQinMbDPLfbTsb48fE/5OWbD5fPWop1f3I+vI1WFnn2WFixYEPWTD5AQQgghRBOhFyAhhBBCFI4Gm8A4AzMQZw9u165dkFllC+RnZ7awytyarFhtx6o+q47ntrwwQCBfPWjV7GzqYnWjNQey6t9mnuXfz8ew2VWFaGq4WCWvJbv+uM2GG/M64/nNWd8BoH379kFm05ZVtfO5eC3Z8/LaZNW9NanZMPtag+8jhx/bbPl5RYxtBv+m5IgjjmjU4/G8seYgTp/Qkgrg8vPUhp/zmNtnFz93yg1h5/tmn638zEtllmb4vKniuk2JNEBCCCGEKBx6ARJCCCFE4dALkBBCCCEKR4N9gGzY4SOPPBJkTnNuw9u4XEXKz4DthTbMnP102IbJKdmB2IbJ/gjWXsx2Sz629RViW2eqLAb7J3Tp0iVqmzFjRpCdc0Hu3LkzhGhOOEScw1RtCDtX637ttdeiNg5b5/VofW94/Vh/BYZ9Hjj82pbg4JBoPu+4ceOifjvssEPuuWoBDhnn6urz5s2L+hWhnA2X8bBVyHm+taQweJ7b9rmYWlP8rOV+KR8gfmamfIrYH8j68LEfLvuicTh/cyINkBBCCCEKh16AhBBCCFE4GmwC4zBDADjxxBODfNttt+V+j9XYrH6z1aI55NWGkvP3OOu05Y033qi3n81+yWq7VKVchs0CNtSfzQfWLNe/f/8g26ysQjQnQ4cOrVe23HXXXUGeOHFi1MYmb87Ybk1g48ePr7ff4MGDo35Lly4NcqrS+I477hjkc845J8h2bab2i1ogL3zY7pGHHnpovf2siYL3UpsyIA9r8i+3LY/UeXnMrRlmn332CfINN9wQtfHe3aFDh1W+pmqFq6hz1m0gNjelUr2wbMPWuY3voTW32XlUhzWXM+x6Um46nEojDZAQQgghCodegIQQQghROBpsArNwZMhhhx0W5Jtvvjnqx8X32OxlVdWs+rSZPPlzXsE+IFYXczSWVdOxei+vyBsQq4u5zapwWRXJkQoAsO+++0KIWobNT7yegVg1zmpuGw3JpjJeL6kITT4vF/gEgJ133rnea611k5flxhtvDDLvW0uWLIn62WKYddi9KhX12lSkzpsygXFE8eLFi6O2bt26BZlNtgcccECDr7Ma4Chi+5t5rtvoLs4UnmfmAvKLFNtM4ww/d23Gd47OSxVDbS6kARJCCCFE4dALkBBCCCEKh16AhBBCCFE4Gs0HiGH76+mnnx61TZkyJcjsi8NZJwHgueeeC7L1C+BQes5ea2EfILZ9W3t5XmZMPg8QZ3hm/yWb7ZrDLm2oohC1AK8X66Nx1FFHBXmbbbaJ2ubOnRvkl19+Ocg2HUSvXr2CzD4J1q+B94hOnToFea+99or6DR8+vJ5f8dWUF6nUFrXAfffdF2S+b1dddVXUb+DAgfV+P5X5txpJZQnnOWD9P7nt1VdfbfwLayb4d7Vv3z5qW7ZsWZDtM5PXcKoafF54ul1H7G/Ez26bHqd79+719uvTp0+952lqans3EEIIIYRoAHoBEkIIIUThWK3c7J8AMGXKlGUAqiN+rTh0GzBgQKOnMtVYNhsaz5aDxrJl0ejjqbFsNsoay1V6ARJCCCGEaAnIBCaEEEKIwqEXICGEEEIUDr0ACSGEEKJw6AVICCHE/2+3DgQAAAAABPlbD3JRBDsCBADsCBAAsCNAAMCOAAEAOwIEAOwEtRVqzOP31fYAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PmlZIns-93_E",
        "colab_type": "text"
      },
      "source": [
        "### TRAINING THE MODEL"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QUTE91ZQ93_G",
        "colab_type": "text"
      },
      "source": [
        "We split our training data into train and validate datasets, in order to train our model and validate it using the validation data set to avoid overfitting before testing the model on the test datasets which is as real-world data for our model."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "KAPg5OJV93_H",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train, X_validate, y_train, y_validate = train_test_split(X_train, y_train, test_size = 0.2, random_state = 12345)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "dJdd61Ew93_K",
        "colab_type": "code",
        "colab": {},
        "outputId": "71e54f58-c079-481a-e4c3-f7fa786275fb"
      },
      "source": [
        "print(X_train.shape)\n",
        "print(y_train.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(48000, 784)\n",
            "(48000,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "ovXlmOcl93_N",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# * unpack the tuple\n",
        "X_train = X_train.reshape(X_train.shape[0], *(28, 28, 1))\n",
        "X_test = X_test.reshape(X_test.shape[0], *(28, 28, 1))\n",
        "X_validate = X_validate.reshape(X_validate.shape[0], *(28, 28, 1))\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "UqYcF0_I93_P",
        "colab_type": "code",
        "colab": {},
        "outputId": "ec1a1ef2-7881-4836-d4e1-ef0ee2ba46bb"
      },
      "source": [
        "print(X_train.shape)\n",
        "print(y_train.shape)\n",
        "print(X_validate.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(48000, 28, 28, 1)\n",
            "(48000,)\n",
            "(12000, 28, 28, 1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EX4vpttuHlEr",
        "colab_type": "text"
      },
      "source": [
        "### Build the model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "KQgKRax493_S",
        "colab_type": "code",
        "colab": {},
        "outputId": "25a578ff-71c3-4118-e9c6-54fafe2e55c1"
      },
      "source": [
        "import keras\n",
        "# import tensorflow"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "U0PZlFs193_U",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from keras.models import Sequential\n",
        "from keras.layers import Conv2D, MaxPooling2D, Dense, Flatten, Dropout\n",
        "from keras.optimizers import Adam\n",
        "from keras.callbacks import TensorBoard"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "93WRcTkS93_a",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "cnn_model = Sequential()\n",
        "\n",
        "# Try 32 fliters first then 64\n",
        "cnn_model.add(Conv2D(32, (3, 3), input_shape = (28,28,1), activation='relu'))\n",
        "cnn_model.add(MaxPooling2D(pool_size = (2, 2)))\n",
        "cnn_model.add(Dropout(0.25))\n",
        "\n",
        "cnn_model.add(Conv2D(64, (3, 3), input_shape = (28,28,1), activation='relu'))\n",
        "cnn_model.add(MaxPooling2D(pool_size = (2, 2)))\n",
        "cnn_model.add(Dropout(0.25))\n",
        "\n",
        "cnn_model.add(Conv2D(128, (3, 3), input_shape = (28,28,1), activation='relu'))\n",
        "cnn_model.add(MaxPooling2D(pool_size = (2, 2)))\n",
        "cnn_model.add(Dropout(0.25))\n",
        "\n",
        "# cnn_model.add(Conv2D(32,3, 3, activation='relu'))\n",
        "# cnn_model.add(MaxPooling2D(pool_size = (2, 2)))\n",
        "\n",
        "cnn_model.add(Flatten())\n",
        "cnn_model.add(Dense(units = 512, activation = 'relu'))\n",
        "cnn_model.add(Dropout(0.25))\n",
        "cnn_model.add(Dense(units = 10, activation = 'softmax'))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qvjgOQ9Q93_d",
        "colab_type": "text"
      },
      "source": [
        "The first layer in this network, `keras.layers.Flatten`, transforms the format of the images from a two-dimensional array (of 28 by 28 pixels) to a one-dimensional array (of 28 * 28 = 784 pixels). Think of this layer as unstacking rows of pixels in the image and lining them up. This layer has no parameters to learn; it only reformats the data.\n",
        "\n",
        "After the pixels are flattened, the network consists of a sequence of two `keras.layers.Dense` layers. These are densely connected, or fully connected, neural layers. The first Dense layer has 128 nodes (or neurons). The second (and last) layer is a 10-node softmax layer that returns an array of 10 probability scores that sum to 1. Each node contains a score that indicates the probability that the current image belongs to one of the 10 classes."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rz6scrGL93_f",
        "colab_type": "text"
      },
      "source": [
        "### Compile the model\n",
        "Before the model is ready for training, it needs a few more settings. These are added during the model's compile step:\n",
        "\n",
        "- *Loss function* —This measures how accurate the model is during training. You want to minimize this function to \"steer\" the model in the right direction.\n",
        "- *Optimizer* —This is how the model is updated based on the data it sees and its loss function.\n",
        "- *Metrics* —Used to monitor the training and testing steps. The following example uses *accuracy*, the fraction of the images that are correctly classified."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "Fr09iejJ93_f",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "cnn_model.compile(loss ='sparse_categorical_crossentropy', optimizer='adam' ,metrics =['accuracy'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RnlC8VE793_i",
        "colab_type": "text"
      },
      "source": [
        "### Train the model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "_kg_hide-output": false,
        "id": "4ib7VFeR93_j",
        "colab_type": "code",
        "colab": {},
        "outputId": "b0c1f6b5-b68f-468e-a4f4-9fec46d24a8f"
      },
      "source": [
        "epochs = 150\n",
        "\n",
        "history = cnn_model.fit(X_train, y_train, batch_size = 512, epochs = epochs,\n",
        "                        verbose = 1, validation_data = (X_validate, y_validate))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train on 48000 samples, validate on 12000 samples\n",
            "Epoch 1/150\n",
            "48000/48000 [==============================] - 5s 112us/step - loss: 1.1880 - accuracy: 0.5443 - val_loss: 0.7053 - val_accuracy: 0.7328\n",
            "Epoch 2/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.7105 - accuracy: 0.7321 - val_loss: 0.5891 - val_accuracy: 0.7771\n",
            "Epoch 3/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.6165 - accuracy: 0.7699 - val_loss: 0.5244 - val_accuracy: 0.8073\n",
            "Epoch 4/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.5658 - accuracy: 0.7904 - val_loss: 0.4842 - val_accuracy: 0.8208\n",
            "Epoch 5/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.5312 - accuracy: 0.8048 - val_loss: 0.4601 - val_accuracy: 0.8335\n",
            "Epoch 6/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.5005 - accuracy: 0.8150 - val_loss: 0.4293 - val_accuracy: 0.8413\n",
            "Epoch 7/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.4782 - accuracy: 0.8237 - val_loss: 0.4072 - val_accuracy: 0.8500\n",
            "Epoch 8/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.4532 - accuracy: 0.8342 - val_loss: 0.3891 - val_accuracy: 0.8581\n",
            "Epoch 9/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.4388 - accuracy: 0.8395 - val_loss: 0.3829 - val_accuracy: 0.8612\n",
            "Epoch 10/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.4223 - accuracy: 0.8452 - val_loss: 0.3662 - val_accuracy: 0.8668\n",
            "Epoch 11/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.4107 - accuracy: 0.8485 - val_loss: 0.3573 - val_accuracy: 0.8671\n",
            "Epoch 12/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3966 - accuracy: 0.8552 - val_loss: 0.3485 - val_accuracy: 0.8733\n",
            "Epoch 13/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3929 - accuracy: 0.8543 - val_loss: 0.3373 - val_accuracy: 0.8745\n",
            "Epoch 14/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3779 - accuracy: 0.8605 - val_loss: 0.3342 - val_accuracy: 0.8723\n",
            "Epoch 15/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.3717 - accuracy: 0.8633 - val_loss: 0.3271 - val_accuracy: 0.8806\n",
            "Epoch 16/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.3638 - accuracy: 0.8668 - val_loss: 0.3130 - val_accuracy: 0.8852\n",
            "Epoch 17/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3556 - accuracy: 0.8684 - val_loss: 0.3113 - val_accuracy: 0.8860\n",
            "Epoch 18/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3533 - accuracy: 0.8675 - val_loss: 0.3106 - val_accuracy: 0.8844\n",
            "Epoch 19/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3466 - accuracy: 0.8710 - val_loss: 0.3091 - val_accuracy: 0.8858\n",
            "Epoch 20/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3404 - accuracy: 0.8737 - val_loss: 0.3102 - val_accuracy: 0.8832\n",
            "Epoch 21/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3335 - accuracy: 0.8763 - val_loss: 0.2929 - val_accuracy: 0.8914\n",
            "Epoch 22/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3294 - accuracy: 0.8796 - val_loss: 0.2942 - val_accuracy: 0.8913\n",
            "Epoch 23/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3272 - accuracy: 0.8789 - val_loss: 0.2933 - val_accuracy: 0.8923\n",
            "Epoch 24/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3227 - accuracy: 0.8792 - val_loss: 0.2890 - val_accuracy: 0.8946\n",
            "Epoch 25/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.3177 - accuracy: 0.8813 - val_loss: 0.2842 - val_accuracy: 0.8957\n",
            "Epoch 26/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.3135 - accuracy: 0.8841 - val_loss: 0.2842 - val_accuracy: 0.8967\n",
            "Epoch 27/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3120 - accuracy: 0.8835 - val_loss: 0.2808 - val_accuracy: 0.8960\n",
            "Epoch 28/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.3046 - accuracy: 0.8865 - val_loss: 0.2780 - val_accuracy: 0.8977\n",
            "Epoch 29/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.3062 - accuracy: 0.8859 - val_loss: 0.2802 - val_accuracy: 0.8962\n",
            "Epoch 30/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3024 - accuracy: 0.8870 - val_loss: 0.2802 - val_accuracy: 0.8948\n",
            "Epoch 31/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.3006 - accuracy: 0.8873 - val_loss: 0.2823 - val_accuracy: 0.8935\n",
            "Epoch 32/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2916 - accuracy: 0.8911 - val_loss: 0.2783 - val_accuracy: 0.8978\n",
            "Epoch 33/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2916 - accuracy: 0.8912 - val_loss: 0.2703 - val_accuracy: 0.8998\n",
            "Epoch 34/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2898 - accuracy: 0.8926 - val_loss: 0.2725 - val_accuracy: 0.8997\n",
            "Epoch 35/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2889 - accuracy: 0.8928 - val_loss: 0.2682 - val_accuracy: 0.9007\n",
            "Epoch 36/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2793 - accuracy: 0.8950 - val_loss: 0.2695 - val_accuracy: 0.8995\n",
            "Epoch 37/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2820 - accuracy: 0.8941 - val_loss: 0.2661 - val_accuracy: 0.9014\n",
            "Epoch 38/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2774 - accuracy: 0.8955 - val_loss: 0.2762 - val_accuracy: 0.8992\n",
            "Epoch 39/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2771 - accuracy: 0.8966 - val_loss: 0.2635 - val_accuracy: 0.9029\n",
            "Epoch 40/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2720 - accuracy: 0.8982 - val_loss: 0.2591 - val_accuracy: 0.9035\n",
            "Epoch 41/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2727 - accuracy: 0.8986 - val_loss: 0.2794 - val_accuracy: 0.8981\n",
            "Epoch 42/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2680 - accuracy: 0.9009 - val_loss: 0.2628 - val_accuracy: 0.9038\n",
            "Epoch 43/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2691 - accuracy: 0.8980 - val_loss: 0.2618 - val_accuracy: 0.9040\n",
            "Epoch 44/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2657 - accuracy: 0.8994 - val_loss: 0.2562 - val_accuracy: 0.9054\n",
            "Epoch 45/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2668 - accuracy: 0.8994 - val_loss: 0.2607 - val_accuracy: 0.9037\n",
            "Epoch 46/150\n",
            "48000/48000 [==============================] - 1s 27us/step - loss: 0.2640 - accuracy: 0.9005 - val_loss: 0.2593 - val_accuracy: 0.9032\n",
            "Epoch 47/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2605 - accuracy: 0.9018 - val_loss: 0.2617 - val_accuracy: 0.9043\n",
            "Epoch 48/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2611 - accuracy: 0.9015 - val_loss: 0.2644 - val_accuracy: 0.9025\n",
            "Epoch 49/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2596 - accuracy: 0.9026 - val_loss: 0.2613 - val_accuracy: 0.9053\n",
            "Epoch 50/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2541 - accuracy: 0.9046 - val_loss: 0.2591 - val_accuracy: 0.9031\n",
            "Epoch 51/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2613 - accuracy: 0.9029 - val_loss: 0.2539 - val_accuracy: 0.9073\n",
            "Epoch 52/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2531 - accuracy: 0.9040 - val_loss: 0.2589 - val_accuracy: 0.9047\n",
            "Epoch 53/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2526 - accuracy: 0.9043 - val_loss: 0.2599 - val_accuracy: 0.9057\n",
            "Epoch 54/150\n",
            "48000/48000 [==============================] - 1s 26us/step - loss: 0.2482 - accuracy: 0.9061 - val_loss: 0.2565 - val_accuracy: 0.9053\n",
            "Epoch 55/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2457 - accuracy: 0.9059 - val_loss: 0.2619 - val_accuracy: 0.9062\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Epoch 56/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2481 - accuracy: 0.9061 - val_loss: 0.2591 - val_accuracy: 0.9049\n",
            "Epoch 57/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2484 - accuracy: 0.9061 - val_loss: 0.2567 - val_accuracy: 0.9064\n",
            "Epoch 58/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2417 - accuracy: 0.9095 - val_loss: 0.2592 - val_accuracy: 0.9037\n",
            "Epoch 59/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2415 - accuracy: 0.9083 - val_loss: 0.2598 - val_accuracy: 0.9040\n",
            "Epoch 60/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2410 - accuracy: 0.9096 - val_loss: 0.2630 - val_accuracy: 0.9050\n",
            "Epoch 61/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2419 - accuracy: 0.9079 - val_loss: 0.2537 - val_accuracy: 0.9079\n",
            "Epoch 62/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2421 - accuracy: 0.9087 - val_loss: 0.2629 - val_accuracy: 0.9033\n",
            "Epoch 63/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2388 - accuracy: 0.9096 - val_loss: 0.2562 - val_accuracy: 0.9055\n",
            "Epoch 64/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2383 - accuracy: 0.9103 - val_loss: 0.2610 - val_accuracy: 0.9062\n",
            "Epoch 65/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2349 - accuracy: 0.9116 - val_loss: 0.2577 - val_accuracy: 0.9068\n",
            "Epoch 66/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2347 - accuracy: 0.9120 - val_loss: 0.2516 - val_accuracy: 0.9077\n",
            "Epoch 67/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2306 - accuracy: 0.9140 - val_loss: 0.2520 - val_accuracy: 0.9097\n",
            "Epoch 68/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2303 - accuracy: 0.9128 - val_loss: 0.2517 - val_accuracy: 0.9057\n",
            "Epoch 69/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2319 - accuracy: 0.9130 - val_loss: 0.2516 - val_accuracy: 0.9094\n",
            "Epoch 70/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2326 - accuracy: 0.9130 - val_loss: 0.2579 - val_accuracy: 0.9074\n",
            "Epoch 71/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2265 - accuracy: 0.9139 - val_loss: 0.2520 - val_accuracy: 0.9086\n",
            "Epoch 72/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2306 - accuracy: 0.9128 - val_loss: 0.2519 - val_accuracy: 0.9085\n",
            "Epoch 73/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2273 - accuracy: 0.9141 - val_loss: 0.2555 - val_accuracy: 0.9086\n",
            "Epoch 74/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2301 - accuracy: 0.9129 - val_loss: 0.2551 - val_accuracy: 0.9063\n",
            "Epoch 75/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2247 - accuracy: 0.9150 - val_loss: 0.2493 - val_accuracy: 0.9084\n",
            "Epoch 76/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2264 - accuracy: 0.9150 - val_loss: 0.2533 - val_accuracy: 0.9071\n",
            "Epoch 77/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2259 - accuracy: 0.9144 - val_loss: 0.2495 - val_accuracy: 0.9093\n",
            "Epoch 78/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2227 - accuracy: 0.9166 - val_loss: 0.2517 - val_accuracy: 0.9074\n",
            "Epoch 79/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2233 - accuracy: 0.9155 - val_loss: 0.2527 - val_accuracy: 0.9068\n",
            "Epoch 80/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2228 - accuracy: 0.9154 - val_loss: 0.2532 - val_accuracy: 0.9088\n",
            "Epoch 81/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2180 - accuracy: 0.9168 - val_loss: 0.2496 - val_accuracy: 0.9087\n",
            "Epoch 82/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2204 - accuracy: 0.9169 - val_loss: 0.2655 - val_accuracy: 0.9026\n",
            "Epoch 83/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2251 - accuracy: 0.9141 - val_loss: 0.2545 - val_accuracy: 0.9067\n",
            "Epoch 84/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2184 - accuracy: 0.9178 - val_loss: 0.2497 - val_accuracy: 0.9098\n",
            "Epoch 85/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2186 - accuracy: 0.9179 - val_loss: 0.2665 - val_accuracy: 0.9066\n",
            "Epoch 86/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2129 - accuracy: 0.9181 - val_loss: 0.2538 - val_accuracy: 0.9113\n",
            "Epoch 87/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2199 - accuracy: 0.9165 - val_loss: 0.2558 - val_accuracy: 0.9076\n",
            "Epoch 88/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2151 - accuracy: 0.9192 - val_loss: 0.2532 - val_accuracy: 0.9102\n",
            "Epoch 89/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2153 - accuracy: 0.9191 - val_loss: 0.2528 - val_accuracy: 0.9081\n",
            "Epoch 90/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2182 - accuracy: 0.9180 - val_loss: 0.2552 - val_accuracy: 0.9079\n",
            "Epoch 91/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2174 - accuracy: 0.9188 - val_loss: 0.2478 - val_accuracy: 0.9117\n",
            "Epoch 92/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2142 - accuracy: 0.9195 - val_loss: 0.2505 - val_accuracy: 0.9103\n",
            "Epoch 93/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2149 - accuracy: 0.9184 - val_loss: 0.2537 - val_accuracy: 0.9085\n",
            "Epoch 94/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2086 - accuracy: 0.9206 - val_loss: 0.2517 - val_accuracy: 0.9099\n",
            "Epoch 95/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2144 - accuracy: 0.9193 - val_loss: 0.2522 - val_accuracy: 0.9103\n",
            "Epoch 96/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2137 - accuracy: 0.9196 - val_loss: 0.2474 - val_accuracy: 0.9113\n",
            "Epoch 97/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2072 - accuracy: 0.9214 - val_loss: 0.2500 - val_accuracy: 0.9104\n",
            "Epoch 98/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2107 - accuracy: 0.9192 - val_loss: 0.2533 - val_accuracy: 0.9078\n",
            "Epoch 99/150\n",
            "48000/48000 [==============================] - 1s 28us/step - loss: 0.2097 - accuracy: 0.9203 - val_loss: 0.2503 - val_accuracy: 0.9100\n",
            "Epoch 100/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2062 - accuracy: 0.9226 - val_loss: 0.2503 - val_accuracy: 0.9115\n",
            "Epoch 101/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2111 - accuracy: 0.9204 - val_loss: 0.2516 - val_accuracy: 0.9107\n",
            "Epoch 102/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2100 - accuracy: 0.9213 - val_loss: 0.2490 - val_accuracy: 0.9118\n",
            "Epoch 103/150\n",
            "48000/48000 [==============================] - 1s 26us/step - loss: 0.2113 - accuracy: 0.9207 - val_loss: 0.2580 - val_accuracy: 0.9082\n",
            "Epoch 104/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2079 - accuracy: 0.9209 - val_loss: 0.2517 - val_accuracy: 0.9087\n",
            "Epoch 105/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2083 - accuracy: 0.9207 - val_loss: 0.2516 - val_accuracy: 0.9105\n",
            "Epoch 106/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2049 - accuracy: 0.9217 - val_loss: 0.2552 - val_accuracy: 0.9102\n",
            "Epoch 107/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2073 - accuracy: 0.9217 - val_loss: 0.2559 - val_accuracy: 0.9078\n",
            "Epoch 108/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2062 - accuracy: 0.9220 - val_loss: 0.2465 - val_accuracy: 0.9122\n",
            "Epoch 109/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2035 - accuracy: 0.9227 - val_loss: 0.2563 - val_accuracy: 0.9109\n",
            "Epoch 110/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2049 - accuracy: 0.9226 - val_loss: 0.2513 - val_accuracy: 0.9107\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Epoch 111/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2050 - accuracy: 0.9217 - val_loss: 0.2528 - val_accuracy: 0.9114\n",
            "Epoch 112/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2073 - accuracy: 0.9217 - val_loss: 0.2509 - val_accuracy: 0.9112\n",
            "Epoch 113/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2050 - accuracy: 0.9222 - val_loss: 0.2499 - val_accuracy: 0.9108\n",
            "Epoch 114/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2027 - accuracy: 0.9235 - val_loss: 0.2523 - val_accuracy: 0.9112\n",
            "Epoch 115/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.2004 - accuracy: 0.9245 - val_loss: 0.2546 - val_accuracy: 0.9062\n",
            "Epoch 116/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2031 - accuracy: 0.9230 - val_loss: 0.2507 - val_accuracy: 0.9103\n",
            "Epoch 117/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2000 - accuracy: 0.9241 - val_loss: 0.2512 - val_accuracy: 0.9098\n",
            "Epoch 118/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.2040 - accuracy: 0.9225 - val_loss: 0.2542 - val_accuracy: 0.9115\n",
            "Epoch 119/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2037 - accuracy: 0.9223 - val_loss: 0.2558 - val_accuracy: 0.9085\n",
            "Epoch 120/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2012 - accuracy: 0.9220 - val_loss: 0.2493 - val_accuracy: 0.9104\n",
            "Epoch 121/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1993 - accuracy: 0.9246 - val_loss: 0.2509 - val_accuracy: 0.9100\n",
            "Epoch 122/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.1993 - accuracy: 0.9233 - val_loss: 0.2552 - val_accuracy: 0.9106\n",
            "Epoch 123/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1980 - accuracy: 0.9250 - val_loss: 0.2561 - val_accuracy: 0.9087\n",
            "Epoch 124/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1936 - accuracy: 0.9280 - val_loss: 0.2598 - val_accuracy: 0.9068\n",
            "Epoch 125/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1955 - accuracy: 0.9257 - val_loss: 0.2540 - val_accuracy: 0.9090\n",
            "Epoch 126/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.2000 - accuracy: 0.9241 - val_loss: 0.2631 - val_accuracy: 0.9073\n",
            "Epoch 127/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1977 - accuracy: 0.9256 - val_loss: 0.2519 - val_accuracy: 0.9123\n",
            "Epoch 128/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1961 - accuracy: 0.9261 - val_loss: 0.2508 - val_accuracy: 0.9118\n",
            "Epoch 129/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1954 - accuracy: 0.9247 - val_loss: 0.2501 - val_accuracy: 0.9114\n",
            "Epoch 130/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1970 - accuracy: 0.9249 - val_loss: 0.2543 - val_accuracy: 0.9082\n",
            "Epoch 131/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.1949 - accuracy: 0.9274 - val_loss: 0.2510 - val_accuracy: 0.9099\n",
            "Epoch 132/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.1980 - accuracy: 0.9262 - val_loss: 0.2565 - val_accuracy: 0.9089\n",
            "Epoch 133/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.1938 - accuracy: 0.9270 - val_loss: 0.2504 - val_accuracy: 0.9139\n",
            "Epoch 134/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.1950 - accuracy: 0.9266 - val_loss: 0.2515 - val_accuracy: 0.9105\n",
            "Epoch 135/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1962 - accuracy: 0.9256 - val_loss: 0.2507 - val_accuracy: 0.9101\n",
            "Epoch 136/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1922 - accuracy: 0.9259 - val_loss: 0.2595 - val_accuracy: 0.9083\n",
            "Epoch 137/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1917 - accuracy: 0.9281 - val_loss: 0.2507 - val_accuracy: 0.9118\n",
            "Epoch 138/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1959 - accuracy: 0.9256 - val_loss: 0.2526 - val_accuracy: 0.9123\n",
            "Epoch 139/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1916 - accuracy: 0.9277 - val_loss: 0.2528 - val_accuracy: 0.9103\n",
            "Epoch 140/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.1907 - accuracy: 0.9269 - val_loss: 0.2490 - val_accuracy: 0.9117\n",
            "Epoch 141/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.1897 - accuracy: 0.9286 - val_loss: 0.2487 - val_accuracy: 0.9118\n",
            "Epoch 142/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1908 - accuracy: 0.9279 - val_loss: 0.2494 - val_accuracy: 0.9097\n",
            "Epoch 143/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1894 - accuracy: 0.9284 - val_loss: 0.2483 - val_accuracy: 0.9131\n",
            "Epoch 144/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.1962 - accuracy: 0.9246 - val_loss: 0.2533 - val_accuracy: 0.9086\n",
            "Epoch 145/150\n",
            "48000/48000 [==============================] - 1s 24us/step - loss: 0.1933 - accuracy: 0.9266 - val_loss: 0.2515 - val_accuracy: 0.9114\n",
            "Epoch 146/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1914 - accuracy: 0.9275 - val_loss: 0.2548 - val_accuracy: 0.9094\n",
            "Epoch 147/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1948 - accuracy: 0.9277 - val_loss: 0.2469 - val_accuracy: 0.9147\n",
            "Epoch 148/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1863 - accuracy: 0.9299 - val_loss: 0.2490 - val_accuracy: 0.9113\n",
            "Epoch 149/150\n",
            "48000/48000 [==============================] - 1s 23us/step - loss: 0.1877 - accuracy: 0.9294 - val_loss: 0.2518 - val_accuracy: 0.9089\n",
            "Epoch 150/150\n",
            "48000/48000 [==============================] - 1s 25us/step - loss: 0.1888 - accuracy: 0.9285 - val_loss: 0.2545 - val_accuracy: 0.9131\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "jkq6sO7493_m",
        "colab_type": "code",
        "colab": {},
        "outputId": "ca29fa6a-cac3-4ea9-dd65-5acdfff119d5"
      },
      "source": [
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "plt.subplot(2, 2, 1)\n",
        "plt.plot(history.history['loss'], label='Loss')\n",
        "plt.plot(history.history['val_loss'], label='val_Loss')\n",
        "plt.legend()\n",
        "plt.title('Loss evolution')\n",
        "\n",
        "plt.subplot(2, 2, 2)\n",
        "plt.plot(history.history['accuracy'], label='accuracy')\n",
        "plt.plot(history.history['val_accuracy'], label='val_accuracy')\n",
        "plt.legend()\n",
        "plt.title('Accuracy evolution')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Accuracy evolution')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DM33vmEq93_p",
        "colab_type": "text"
      },
      "source": [
        "#### : EVALUATING THE MODEL"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "trusted": true,
        "id": "dRQ1o0yx93_q",
        "colab_type": "code",
        "colab": {},
        "outputId": "a5b64ffd-fbd9-4a93-e288-dcc20828adb3"
      },
      "source": [
        "evaluation = cnn_model.evaluate(X_test, y_test)\n",
        "print(f'Test Accuracy : {evaluation[1]:.3f}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "10000/10000 [==============================] - 1s 92us/step\n",
            "Test Accuracy : 0.918\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HsjIVRFr93_t",
        "colab_type": "text"
      },
      "source": [
        "## Makes predictions\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "B_LvJ16d93_t",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# get the predictions for the test data\n",
        "predicted_classes = cnn_model.predict_classes(X_test)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "WOk0Zvhi93_x",
        "colab_type": "code",
        "colab": {},
        "outputId": "de7f2930-5209-4a49-81c4-c57eeb298709"
      },
      "source": [
        "test_img = X_test[0]\n",
        "prediction = cnn_model.predict(X_test)\n",
        "prediction[0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([9.9869126e-01, 8.0477438e-13, 3.5451542e-04, 4.1329764e-07,\n",
              "       1.5509299e-06, 1.0341513e-12, 9.5229724e-04, 5.0063404e-15,\n",
              "       3.3527506e-10, 1.1775688e-13], dtype=float32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "pA1xwfFf93_0",
        "colab_type": "code",
        "colab": {},
        "outputId": "d21e5f85-5b37-4afa-83e6-f80bfedc8ae0"
      },
      "source": [
        "np.argmax(prediction[0])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "trusted": true,
        "id": "o574Sy9093_3",
        "colab_type": "code",
        "colab": {},
        "outputId": "3fc95439-93a4-4d04-9933-f406661d84ee"
      },
      "source": [
        "L = 5\n",
        "W = 5\n",
        "fig, axes = plt.subplots(L, W, figsize = (12,12))\n",
        "axes = axes.ravel()\n",
        "\n",
        "for i in np.arange(0, L * W):  \n",
        "    axes[i].imshow(X_test[i].reshape(28,28))\n",
        "    axes[i].set_title(f\"Prediction Class = {predicted_classes[i]:0.1f}\\n True Class = {y_test[i]:0.1f}\")\n",
        "    axes[i].axis('off')\n",
        "\n",
        "plt.subplots_adjust(wspace=0.5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x864 with 25 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "p4OA8iGM93_6",
        "colab_type": "code",
        "colab": {},
        "outputId": "4497800b-7e8e-4fa5-b34b-3da0b6d89b6b"
      },
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "cm = confusion_matrix(y_test, predicted_classes)\n",
        "plt.figure(figsize = (14,10))\n",
        "sns.heatmap(cm, annot=True)\n",
        "# Sum the diagonal element to get the total true correct values"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc13e5766d8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x720 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "trusted": true,
        "id": "neBbubGg93_9",
        "colab_type": "code",
        "colab": {},
        "outputId": "e9572586-93c4-4fac-90bb-8fdfc8aeee50"
      },
      "source": [
        "from sklearn.metrics import classification_report\n",
        "\n",
        "num_classes = 10\n",
        "target_names = [f\"Class {i}\" for i in range(num_classes)]\n",
        "\n",
        "print(classification_report(y_test, predicted_classes, target_names = target_names))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "     Class 0       0.85      0.89      0.87      1000\n",
            "     Class 1       0.99      0.98      0.99      1000\n",
            "     Class 2       0.87      0.89      0.88      1000\n",
            "     Class 3       0.92      0.93      0.92      1000\n",
            "     Class 4       0.87      0.89      0.88      1000\n",
            "     Class 5       0.98      0.97      0.98      1000\n",
            "     Class 6       0.80      0.72      0.76      1000\n",
            "     Class 7       0.95      0.97      0.96      1000\n",
            "     Class 8       0.98      0.98      0.98      1000\n",
            "     Class 9       0.96      0.96      0.96      1000\n",
            "\n",
            "    accuracy                           0.92     10000\n",
            "   macro avg       0.92      0.92      0.92     10000\n",
            "weighted avg       0.92      0.92      0.92     10000\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}