PNEUMINIA_CLASSIFICATION.ipynb

{
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  "metadata": {
    "colab": {
      "name": "PNEUMINIA_CLASSIFICATION.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyN2l83TOgRGpqwjeJ+3z3+Y",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Shivanshjoshi11/PNEUMINIA_PREDICTION/blob/main/PNEUMINIA_CLASSIFICATION.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tc2xgouv9Lje"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d3TYvp9I__v1",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 90
        },
        "outputId": "6907a888-8eb0-4b03-a01c-802dfb4f4f57"
      },
      "source": [
        "from google.colab import files\n",
        "files.upload() "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-fc695c85-8bbf-4f39-96e2-83b8db6a7899\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-fc695c85-8bbf-4f39-96e2-83b8db6a7899\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving kaggle.json to kaggle.json\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'kaggle.json': b'{\"username\":\"shivanshj\",\"key\":\"f771b65b6f47953b718bd90f82bc6fff\"}'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ei5_YPGxATHm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "64ea4fc7-f199-48ed-c0dc-853203793f77"
      },
      "source": [
        "!pip install -q kaggle\r\n",
        "!mkdir -p ~/.kaggle\r\n",
        "!cp kaggle.json ~/.kaggle/\r\n",
        "!ls ~/.kaggle\r\n",
        "!chmod 600 /root/.kaggle/kaggle.json"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "kaggle.json\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aG6fIshU0Zaa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "69194051-a91c-434f-d5b6-145a0d8b1697"
      },
      "source": [
        "!kaggle datasets download -d paultimothymooney/chest-xray-pneumonia"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading chest-xray-pneumonia.zip to /content\n",
            "100% 2.29G/2.29G [00:30<00:00, 24.7MB/s]\n",
            "100% 2.29G/2.29G [00:30<00:00, 81.3MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j0evbgTz0kkO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e73423d9-2ed0-4692-f0cc-965c599419cd"
      },
      "source": [
        "!unzip /content/chest-xray-pneumonia.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "  inflating: chest_xray/train/NORMAL/IM-0435-0001-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0435-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0437-0001-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0437-0001-0002.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0437-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0438-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0439-0001-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0439-0001-0002.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0439-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0440-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0441-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0442-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0444-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0445-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0446-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0447-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0448-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0449-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0450-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0451-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0452-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0453-0001-0002.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0453-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0455-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0456-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0457-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0458-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0459-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0460-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0461-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0463-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0464-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0465-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0466-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0467-0001-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0467-0001-0002.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0467-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0469-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0471-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0472-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0473-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0474-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0475-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0476-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0477-0001.jpeg  \n",
            "  inflating: chest_xray/train/NORMAL/IM-0478-0001.jpeg  \n",
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            "  inflating: chest_xray/train/PNEUMONIA/person9_bacteria_41.jpeg  \n",
            "  inflating: chest_xray/val/NORMAL/NORMAL2-IM-1427-0001.jpeg  \n",
            "  inflating: chest_xray/val/NORMAL/NORMAL2-IM-1430-0001.jpeg  \n",
            "  inflating: chest_xray/val/NORMAL/NORMAL2-IM-1431-0001.jpeg  \n",
            "  inflating: chest_xray/val/NORMAL/NORMAL2-IM-1436-0001.jpeg  \n",
            "  inflating: chest_xray/val/NORMAL/NORMAL2-IM-1437-0001.jpeg  \n",
            "  inflating: chest_xray/val/NORMAL/NORMAL2-IM-1438-0001.jpeg  \n",
            "  inflating: chest_xray/val/NORMAL/NORMAL2-IM-1440-0001.jpeg  \n",
            "  inflating: chest_xray/val/NORMAL/NORMAL2-IM-1442-0001.jpeg  \n",
            "  inflating: chest_xray/val/PNEUMONIA/person1946_bacteria_4874.jpeg  \n",
            "  inflating: chest_xray/val/PNEUMONIA/person1946_bacteria_4875.jpeg  \n",
            "  inflating: chest_xray/val/PNEUMONIA/person1947_bacteria_4876.jpeg  \n",
            "  inflating: chest_xray/val/PNEUMONIA/person1949_bacteria_4880.jpeg  \n",
            "  inflating: chest_xray/val/PNEUMONIA/person1950_bacteria_4881.jpeg  \n",
            "  inflating: chest_xray/val/PNEUMONIA/person1951_bacteria_4882.jpeg  \n",
            "  inflating: chest_xray/val/PNEUMONIA/person1952_bacteria_4883.jpeg  \n",
            "  inflating: chest_xray/val/PNEUMONIA/person1954_bacteria_4886.jpeg  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J2FXbXJjhoic",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6a873a48-dfd2-4c94-97e6-086a5ccc2f19"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "chest_xray  chest-xray-pneumonia.zip  kaggle.json  sample_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YV_9kj6R5Et6"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import keras\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense, Conv2D , MaxPool2D , Flatten , Dropout , BatchNormalization\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import classification_report,confusion_matrix\n",
        "from keras.callbacks import ReduceLROnPlateau\n",
        "import cv2\n",
        "import os"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IV2R5Mfg2ClY"
      },
      "source": [
        "import os\n",
        "labels = ['PNEUMONIA', 'NORMAL']\n",
        "img_size = 150\n",
        "def get_training_data(data_dir):\n",
        "    data = [] \n",
        "    for label in labels: \n",
        "        path = os.path.join(data_dir, label)\n",
        "        class_num = labels.index(label)\n",
        "        for img in os.listdir(path):\n",
        "            try:\n",
        "                img_arr = cv2.imread(os.path.join(path, img), cv2.IMREAD_GRAYSCALE)\n",
        "                resized_arr = cv2.resize(img_arr, (img_size, img_size)) # Reshaping images to preferred size\n",
        "                data.append([resized_arr, class_num])\n",
        "            except Exception as e:\n",
        "                print(e)\n",
        "    return np.array(data)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iSkRROGq1b9H"
      },
      "source": [
        "train = get_training_data('/content/chest_xray/train')\n",
        "test = get_training_data('/content/chest_xray/test')\n",
        "val = get_training_data('/content/chest_xray/val')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "maanC0gt196i",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7e86757d-d757-4725-f0bc-dd06bec3434d"
      },
      "source": [
        "!dir"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "chest_xray  chest-xray-pneumonia.zip  kaggle.json  sample_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5LGTpOmH4CDu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "f5cbddaa-e99b-47e8-d3bd-4caef68dfcec"
      },
      "source": [
        "l = []\n",
        "for i in train:\n",
        "    if(i[1] == 0):\n",
        "        l.append(\"Pneumonia\")\n",
        "    else:\n",
        "        l.append(\"Normal\")\n",
        "sns.set_style('darkgrid')\n",
        "sns.countplot(l) "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f050c10fac8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w95njcjfCSjd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 672
        },
        "outputId": "26e59f9b-5022-469d-a2a0-bc9a64f1c163"
      },
      "source": [
        "plt.figure(figsize = (5,5))\n",
        "plt.imshow(train[0][0], cmap='gray')\n",
        "plt.title(labels[train[0][1]])\n",
        "\n",
        "plt.figure(figsize = (5,5))\n",
        "plt.imshow(train[-1][0], cmap='gray')\n",
        "plt.title(labels[train[-1][1]])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'NORMAL')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JsOsVNHUCcmj"
      },
      "source": [
        "x_train = []\n",
        "y_train = []\n",
        "\n",
        "x_val = []\n",
        "y_val = []\n",
        "\n",
        "x_test = []\n",
        "y_test = []\n",
        "\n",
        "for feature, label in train:\n",
        "    x_train.append(feature)\n",
        "    y_train.append(label)\n",
        "\n",
        "for feature, label in test:\n",
        "    x_test.append(feature)\n",
        "    y_test.append(label)\n",
        "    \n",
        "for feature, label in val:\n",
        "    x_val.append(feature)\n",
        "    y_val.append(label)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KsT6hYNWE0jz"
      },
      "source": [
        "Here we will normalise the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gczjoEz5CdDj"
      },
      "source": [
        "# Normalize the data\n",
        "x_train = np.array(x_train) / 255\n",
        "x_val = np.array(x_val) / 255\n",
        "x_test = np.array(x_test) / 255"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uXbdCpR5Da75"
      },
      "source": [
        "# resize data for deep learning \n",
        "x_train = x_train.reshape(-1, img_size, img_size, 1)\n",
        "y_train = np.array(y_train)\n",
        "\n",
        "x_val = x_val.reshape(-1, img_size, img_size, 1)\n",
        "y_val = np.array(y_val)\n",
        "\n",
        "x_test = x_test.reshape(-1, img_size, img_size, 1)\n",
        "y_test = np.array(y_test)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r_zwrI-wE50E"
      },
      "source": [
        "As we have seen that the data set is unbalanced, we will use data augmentation to add aditional features and prevent overfitting"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HvmXF4CYDeDh"
      },
      "source": [
        "# With data augmentation to prevent overfitting and handling the imbalance in dataset\n",
        "\n",
        "datagen = ImageDataGenerator(\n",
        "        featurewise_center=False,  # set input mean to 0 over the dataset\n",
        "        samplewise_center=False,  # set each sample mean to 0\n",
        "        featurewise_std_normalization=False,  # divide inputs by std of the dataset\n",
        "        samplewise_std_normalization=False,  # divide each input by its std\n",
        "        zca_whitening=False,  # apply ZCA whitening\n",
        "        rotation_range = 30,  # randomly rotate images in the range (degrees, 0 to 180)\n",
        "        zoom_range = 0.2, # Randomly zoom image \n",
        "        width_shift_range=0.1,  # randomly shift images horizontally (fraction of total width)\n",
        "        height_shift_range=0.1,  # randomly shift images vertically (fraction of total height)\n",
        "        horizontal_flip = True,  # randomly flip images\n",
        "        vertical_flip=False)  # randomly flip images\n",
        "\n",
        "\n",
        "datagen.fit(x_train)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XZFZyqINDgvc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c1f9eea7-898b-4f8d-d471-06291e3ca254"
      },
      "source": [
        "model = Sequential()\n",
        "model.add(Conv2D(32 , (3,3) , strides = 1 , padding = 'same' , activation = 'relu' , input_shape = (150,150,1)))\n",
        "model.add(BatchNormalization())\n",
        "model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))\n",
        "model.add(Conv2D(64 , (3,3) , strides = 1 , padding = 'same' , activation = 'relu'))\n",
        "model.add(Dropout(0.1))\n",
        "model.add(BatchNormalization())\n",
        "model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))\n",
        "model.add(Conv2D(64 , (3,3) , strides = 1 , padding = 'same' , activation = 'relu'))\n",
        "model.add(BatchNormalization())\n",
        "model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))\n",
        "model.add(Conv2D(128 , (3,3) , strides = 1 , padding = 'same' , activation = 'relu'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(BatchNormalization())\n",
        "model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))\n",
        "model.add(Conv2D(256 , (3,3) , strides = 1 , padding = 'same' , activation = 'relu'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(BatchNormalization())\n",
        "model.add(MaxPool2D((2,2) , strides = 2 , padding = 'same'))\n",
        "model.add(Flatten())\n",
        "model.add(Dense(units = 128 , activation = 'relu'))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(units = 1 , activation = 'sigmoid'))\n",
        "model.compile(optimizer = \"rmsprop\" , loss = 'binary_crossentropy' , metrics = ['accuracy'])\n",
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv2d (Conv2D)              (None, 150, 150, 32)      320       \n",
            "_________________________________________________________________\n",
            "batch_normalization (BatchNo (None, 150, 150, 32)      128       \n",
            "_________________________________________________________________\n",
            "max_pooling2d (MaxPooling2D) (None, 75, 75, 32)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_1 (Conv2D)            (None, 75, 75, 64)        18496     \n",
            "_________________________________________________________________\n",
            "dropout (Dropout)            (None, 75, 75, 64)        0         \n",
            "_________________________________________________________________\n",
            "batch_normalization_1 (Batch (None, 75, 75, 64)        256       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_1 (MaxPooling2 (None, 38, 38, 64)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_2 (Conv2D)            (None, 38, 38, 64)        36928     \n",
            "_________________________________________________________________\n",
            "batch_normalization_2 (Batch (None, 38, 38, 64)        256       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_2 (MaxPooling2 (None, 19, 19, 64)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_3 (Conv2D)            (None, 19, 19, 128)       73856     \n",
            "_________________________________________________________________\n",
            "dropout_1 (Dropout)          (None, 19, 19, 128)       0         \n",
            "_________________________________________________________________\n",
            "batch_normalization_3 (Batch (None, 19, 19, 128)       512       \n",
            "_________________________________________________________________\n",
            "max_pooling2d_3 (MaxPooling2 (None, 10, 10, 128)       0         \n",
            "_________________________________________________________________\n",
            "conv2d_4 (Conv2D)            (None, 10, 10, 256)       295168    \n",
            "_________________________________________________________________\n",
            "dropout_2 (Dropout)          (None, 10, 10, 256)       0         \n",
            "_________________________________________________________________\n",
            "batch_normalization_4 (Batch (None, 10, 10, 256)       1024      \n",
            "_________________________________________________________________\n",
            "max_pooling2d_4 (MaxPooling2 (None, 5, 5, 256)         0         \n",
            "_________________________________________________________________\n",
            "flatten (Flatten)            (None, 6400)              0         \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 128)               819328    \n",
            "_________________________________________________________________\n",
            "dropout_3 (Dropout)          (None, 128)               0         \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 1)                 129       \n",
            "=================================================================\n",
            "Total params: 1,246,401\n",
            "Trainable params: 1,245,313\n",
            "Non-trainable params: 1,088\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1WOnJeKxDkIa"
      },
      "source": [
        "learning_rate_reduction = ReduceLROnPlateau(monitor='val_accuracy', patience = 2, verbose=1,factor=0.3, min_lr=0.000001)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I9MLIphFDoOR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4be08825-6363-4f5e-cffc-cfd53c879c8b"
      },
      "source": [
        "history = model.fit(datagen.flow(x_train,y_train, batch_size = 32) ,epochs = 12 , validation_data = datagen.flow(x_val, y_val) ,callbacks = [learning_rate_reduction])\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/12\n",
            "163/163 [==============================] - 10s 63ms/step - loss: 0.5129 - accuracy: 0.8376 - val_loss: 29.0429 - val_accuracy: 0.5000\n",
            "Epoch 2/12\n",
            "163/163 [==============================] - 10s 63ms/step - loss: 0.2783 - accuracy: 0.8965 - val_loss: 20.7611 - val_accuracy: 0.5000\n",
            "Epoch 3/12\n",
            "163/163 [==============================] - ETA: 0s - loss: 0.2299 - accuracy: 0.9178\n",
            "Epoch 00003: ReduceLROnPlateau reducing learning rate to 0.0003000000142492354.\n",
            "163/163 [==============================] - 10s 62ms/step - loss: 0.2299 - accuracy: 0.9178 - val_loss: 37.5225 - val_accuracy: 0.5000\n",
            "Epoch 4/12\n",
            "163/163 [==============================] - 10s 63ms/step - loss: 0.1511 - accuracy: 0.9461 - val_loss: 6.1931 - val_accuracy: 0.5000\n",
            "Epoch 5/12\n",
            "163/163 [==============================] - 10s 63ms/step - loss: 0.1381 - accuracy: 0.9565 - val_loss: 0.6579 - val_accuracy: 0.6250\n",
            "Epoch 6/12\n",
            "163/163 [==============================] - 10s 62ms/step - loss: 0.1383 - accuracy: 0.9536 - val_loss: 6.3574 - val_accuracy: 0.5000\n",
            "Epoch 7/12\n",
            "163/163 [==============================] - ETA: 0s - loss: 0.1242 - accuracy: 0.9551\n",
            "Epoch 00007: ReduceLROnPlateau reducing learning rate to 9.000000427477062e-05.\n",
            "163/163 [==============================] - 10s 63ms/step - loss: 0.1242 - accuracy: 0.9551 - val_loss: 1.6413 - val_accuracy: 0.6250\n",
            "Epoch 8/12\n",
            "163/163 [==============================] - 10s 62ms/step - loss: 0.1015 - accuracy: 0.9663 - val_loss: 1.2096 - val_accuracy: 0.6875\n",
            "Epoch 9/12\n",
            "163/163 [==============================] - 10s 62ms/step - loss: 0.1025 - accuracy: 0.9666 - val_loss: 2.0516 - val_accuracy: 0.5000\n",
            "Epoch 10/12\n",
            "163/163 [==============================] - 10s 62ms/step - loss: 0.0978 - accuracy: 0.9651 - val_loss: 0.5773 - val_accuracy: 0.8750\n",
            "Epoch 11/12\n",
            "163/163 [==============================] - 10s 62ms/step - loss: 0.0952 - accuracy: 0.9672 - val_loss: 0.4462 - val_accuracy: 0.7500\n",
            "Epoch 12/12\n",
            "163/163 [==============================] - ETA: 0s - loss: 0.0971 - accuracy: 0.9674\n",
            "Epoch 00012: ReduceLROnPlateau reducing learning rate to 2.700000040931627e-05.\n",
            "163/163 [==============================] - 10s 63ms/step - loss: 0.0971 - accuracy: 0.9674 - val_loss: 4.5622 - val_accuracy: 0.5000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nHooEFhtDrhj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a6206384-013a-420f-c796-f9138939eb9a"
      },
      "source": [
        "print(\"Loss of the model is - \" , model.evaluate(x_test,y_test)[0])\n",
        "print(\"Accuracy of the model is - \" , model.evaluate(x_test,y_test)[1]*100 , \"%\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "20/20 [==============================] - 0s 11ms/step - loss: 0.7926 - accuracy: 0.8446\n",
            "Loss of the model is -  0.792564868927002\n",
            "20/20 [==============================] - 0s 11ms/step - loss: 0.7926 - accuracy: 0.8446\n",
            "Accuracy of the model is -  84.45512652397156 %\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2PPbTGHyEQsS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 594
        },
        "outputId": "3a8a8c5d-bf6b-46ef-c1aa-d7554ea412c6"
      },
      "source": [
        "epochs = [i for i in range(12)]\n",
        "fig , ax = plt.subplots(1,2)\n",
        "train_acc = history.history['accuracy']\n",
        "train_loss = history.history['loss']\n",
        "val_acc = history.history['val_accuracy']\n",
        "val_loss = history.history['val_loss']\n",
        "fig.set_size_inches(20,10)\n",
        "\n",
        "ax[0].plot(epochs , train_acc , 'go-' , label = 'Training Accuracy')\n",
        "ax[0].plot(epochs , val_acc , 'ro-' , label = 'Validation Accuracy')\n",
        "ax[0].set_title('Training & Validation Accuracy')\n",
        "ax[0].legend()\n",
        "ax[0].set_xlabel(\"Epochs\")\n",
        "ax[0].set_ylabel(\"Accuracy\")\n",
        "\n",
        "ax[1].plot(epochs , train_loss , 'g-o' , label = 'Training Loss')\n",
        "ax[1].plot(epochs , val_loss , 'r-o' , label = 'Validation Loss')\n",
        "ax[1].set_title('Testing Accuracy & Loss')\n",
        "ax[1].legend()\n",
        "ax[1].set_xlabel(\"Epochs\")\n",
        "ax[1].set_ylabel(\"Training & Validation Loss\")\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PbcnPNBEEUqr",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "96ae8d58-553d-4aef-fdf2-e68430170e1b"
      },
      "source": [
        "predictions = model.predict_classes(x_test)\n",
        "predictions = predictions.reshape(1,-1)[0]\n",
        "predictions[:15]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From <ipython-input-29-bfbea473dbc8>:1: Sequential.predict_classes (from tensorflow.python.keras.engine.sequential) is deprecated and will be removed after 2021-01-01.\n",
            "Instructions for updating:\n",
            "Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DjP8ysfmEYI5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e31bbade-4623-4ebb-ca62-58c63fcc05d6"
      },
      "source": [
        "print(classification_report(y_test, predictions, target_names = ['Pneumonia (Class 0)','Normal (Class 1)']))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "                     precision    recall  f1-score   support\n",
            "\n",
            "Pneumonia (Class 0)       0.81      0.99      0.89       390\n",
            "   Normal (Class 1)       0.97      0.60      0.74       234\n",
            "\n",
            "           accuracy                           0.84       624\n",
            "          macro avg       0.89      0.80      0.82       624\n",
            "       weighted avg       0.87      0.84      0.83       624\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I8gch_4OEa2v",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "60203367-9862-40df-d3b3-a5db7179f89c"
      },
      "source": [
        "cm = confusion_matrix(y_test,predictions)\n",
        "cm"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[386,   4],\n",
              "       [ 93, 141]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_yBCG33YEcme"
      },
      "source": [
        "cm = pd.DataFrame(cm , index = ['0','1'] , columns = ['0','1'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vhAOI_DcEefc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 609
        },
        "outputId": "13d52af1-f471-4798-895f-b6ea4758c837"
      },
      "source": [
        "plt.figure(figsize = (10,10))\n",
        "sns.heatmap(cm,cmap= \"Blues\", linecolor = 'black' , linewidth = 1 , annot = True, fmt='',xticklabels = labels,yticklabels = labels)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f04ae072278>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_lOZIomfEoU0"
      },
      "source": [
        "correct = np.nonzero(predictions == y_test)[0]\n",
        "incorrect = np.nonzero(predictions != y_test)[0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "21zwFkOSFFL0"
      },
      "source": [
        "Correctly labled images"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fxAWSYxzEqeQ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "3ffe2e86-495d-4f51-e92e-c20394ce8504"
      },
      "source": [
        "i = 0\n",
        "for c in correct[:6]:\n",
        "    plt.subplot(3,2,i+1)\n",
        "    plt.xticks([])\n",
        "    plt.yticks([])\n",
        "    plt.imshow(x_test[c].reshape(150,150), cmap=\"gray\", interpolation='none')\n",
        "    plt.title(\"Predicted Class {},Actual Class {}\".format(predictions[c], y_test[c]))\n",
        "    plt.tight_layout()\n",
        "    i += 1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 6 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BYLpH7OVFJPM"
      },
      "source": [
        "Wrongly labled images"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4HVQDSyAEtR6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "34a301d2-f416-42de-c6cb-5a14b0cfd706"
      },
      "source": [
        "i = 0\n",
        "for c in incorrect[:6]:\n",
        "    plt.subplot(3,2,i+1)\n",
        "    plt.xticks([])\n",
        "    plt.yticks([])\n",
        "    plt.imshow(x_test[c].reshape(150,150), cmap=\"gray\", interpolation='none')\n",
        "    plt.title(\"Predicted Class {},Actual Class {}\".format(predictions[c], y_test[c]))\n",
        "    plt.tight_layout()\n",
        "    i += 1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 6 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "78yTmg9FAlTZ"
      },
      "source": [
        "NOW I HAVE DOWNLOADED AN PNEUMONIA X_RAY FROM GOOGLE"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z-tO944CIIaC"
      },
      "source": [
        "import cv2\n",
        "import glob\n",
        "for img in glob.glob(\"/content/example.jpg\"):\n",
        "    cv_img = cv2.imread(img)\n",
        "    cv_img = cv2.resize(cv_img, (150, 150))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1799cMjqfLNT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "75cf0709-1b2b-48b7-bbb3-fcf5383ce5a0"
      },
      "source": [
        "plt.imshow(cv_img)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f04a63ce160>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Da3wuKUE6GN/78uAVRMoFBrFok5OTWlpaKiiBGIV3re5j8cCguwGuLAj+cbIQAiopKQv27nOmHlFv5tnv99Xr9RKE9QAmPq4X/7iy8NOAnGk8KOiuBi4BdGY+vg+CaxzaO8M6Wol18q74Is2hyczMTBoPJy/BBxsbGykwiNvEfFACWHjfIIWiI/0IzXNKwBWcKwOnsSvOarWqRqNRyDLEikRX3q4UPAaRGwt085YLuB6kHQolwKCJrnsknUX27xwFxMg0G3U8Sn9QJOB+48TEhK666qo9SMAXStobq3B3gfE6FGcuCD5nCzA2X/j19XV1u92kBPgLnJXyQTYXbKLd0XLxHrgarb4rAY+ORysUXQ1+45/Td2RumgcQHdpHl8HdPKC2CzzKkebxk62trVQtyElFLti12u5GJZR4FNr4ikogogJcJEcCMdsQYz1RucSYT9ydGeMO/v58XIRDoQSwvvPz84XTdLCsbKv1rbhR8PjbaDTUaDSS8KEMEDiUSL1eL1zn0eOdnR1NT0/rxhtvLDBhDGCxcOSXnSGYF/CbRWEux44dK1QDcu/NzU21222tr69rdXVV586dS/2fO3duD5qgaMczB6AF+veqOcblVh9GQwC5n7seWF/mwe8JvkkjxnOl7EzsR425hXPEIhXjJp4mZW2np6e1sbGRYiOu7HHFmJffy9N+a2tr6b70wT1za+7KlfWMSGBnZ0fr6+sFV+z5z39+unev10tj5rARlBkt54o5ImTMrsRi4PegbgDtUCgBrJZvvcXCU4jjG3LwDXM+lFfsQWCY0avZIhLwIBF9xWIbZ87oWsSoMe+dYaKbQB+S0tFZ3W43HaK5srKibrebmKHT6ewJclUqFc3OzhY2LTmScsWG0G1ubu5Ja8JcfnoQDMtnkvYoQxRSDDoyTtaXefM73/NP7MavGQ53U4CVSiVBeVDAzMyMms1mSnViGCYmJrSwsFAKnd2qc5o0c/B9HO7eRCvvSCauBeiNa6ampnT11Vdng4ystxcoRUTFGFCgvFACrEvc7n2+gcJDoQRgHLf2MGez2SzU5bvPTXPth6WFMWFSjyG4rympwCixP9e07nO5ALivnKtZYCFhVNJuHvFH8HwBHfbTF4vsKUH/fUyLeh2CB/78Wrfw+LJ+PfRxF8yrGLk+Z4WiG+S/ia6MrwMv97cRAFCJb8FG0czPzychpD9XTPQPWmLN6MPXDMPhFYqsWUyRejzE92Gw5gQKXQmR4uz1elmaMWaUIHPGteE+kgpzzimTce1QKAFpd8JYMyw5sBmh9nJc0IBDT/qRdgnp1WxYDEcGtLJACwLhQsXvIHpUAhwHXq1WC3CfwBz3Z1srcJTFnJ6e1vz8fCpjnZmZSeNoNpuFNJZDc9/yS82/u0UoMywH80BB+D4Hj5OAIhgD9Cd9SoBTUgpU+prG8l6PknMfrnW/2AW2Wq2mnYAeB8LdwkhMTEzo6quvLmQBWHMXWp87igjlsrGxUVgbHxOWHIGO8SLWz+foAu0IUFK6Fy5Ejg9BRLgDvp2cjEa1Wk3IwF2EiJLL2gUrgSeeeEK//uu/ruXlZVUqFf3Mz/yMfv7nf16rq6u655579Pjjj+s5z3mOHnjgAS0sLIztC22+sLBQqJefnZ1N8FZSISsQ6wRcGGlHjx5NzAUEc+ueS11BXIeqXOPBuPi5j9uLa9zlGAwG6na7yQIgHEBtqVgHEI/rjjX+0XUZDAZqt9uJaaTdKjto5RWUZF2wsMw3KisEGVq41YRuMXhHi2jK4wwELLlvZFQPdrk/zxoRC4lCce2116YTkAeDQYr0E8NACTr93QVlfRmXzxEaODLxvqGPnyZ97bXXFlKU9EdGAl5mXd314reeCoYvuBfGgM1R09PTarfbe1DluHbBSqBWq+ntb3+7br75ZnU6Hb3+9a/XS1/6Un3yk5/UrbfeqjvvvFOnTp3SqVOndN99943tC0HB/3cl4IsTMwZe/OPMyYIAu10ruy9Hc9joZ+V3Op1C8DDW/DMW3xGYCzbyP34gfiPfxRQQNEFxuDWh5eC0pMRIlUpF7Xa7ULvg86QPrvH7RwGHpnwWlQAtBqhQvlzrwS0PbCGcruBcQftc19fXkxLw4KKjQ1ANfSEQoBL3+Z0H3C3jlRsj83JXwemFEnXFIKng+3tcwVPi7n658o+8Do/g5mF4+v1+UsQ5lzHXLlgJnDhxQidOnJAkNZtN3XDDDTp9+rQefvhhffzjH5ck3X777brjjjsOrAR4Eg/WHSsWA3IQORfFhQDRyvPXtTgEijljCLiyslLwG2MlIvGJRqNRSBuSeYDhGBsBnW63mxAEY3JUwb3q9XrBz0Pro9RcaB3ZgCZarVZiEqcNfcCoUQmM8+9jYDAqppjf9rRmp9MpZB64X6x4jAHHiBgGg0FyAXwnJ0VP7h6CflhneIv1QOj5u76+Xsg8OEoBvcA/HujL8TPuUTRa8KLzXC774ClF362JTBAfwPWVihkpjFpcx9ielpjAY489pv/4j//QLbfcouXl5aQcjh8/ruXl5X2vh2iNRqOQGpydnS1YVvepnKAxYOXBPxgJyOVa3VN8URDcYkjFqD8LgD/aaDTS/TyoBBNtbW1pbW1Na2tryZpQCcn4osVnAXFhiDf48Vo5lOO+JQVDNM9NEwtwCOx+P/NxqIoycR+bNeDeFC95hoHm+/QHg0EhMObCFtcz/nXl5ecGLi4uqtfrJUSAUmCt8J1BJDw9qdvtFmICktJ7h/qOapz3iHXAGy5wDt9R8jHw2u/3E19jQOBRFE1UAp7KrdVqWltbS7xALIpsRSx5jq0yPJ8wYqZ1u13dcccduuuuu/TqV79aL3zhC/W1r30tff+iF71IX/3qV8f2sba2ppmZGZ0+fXp3UGZ9XXNGCBqhaPTzveWirzFI5J8dOXJEKysre/pxbe2L6WP28bhwusDm4HQcr1v9+fl5ra2t7RmrzytHjxxt4ti9n5x1j/fieo73dtjuUfl4jSs7h8M5S+XjzI2fIKaPl/HQYowoKvroGubel4lHXLeoHCqVihYXF7W8vHwg3zzydKR7dP/ie5+b09P//6Ef+qHsvS8KCWxvb+vuu+/WT/7kT+rVr361JGlxcVFnzpzRiRMndObMGR07dmzffp566inVajV96EMfKvhVi4uLhSiwlxBHJnG04AUf4wiXQwL8/Ymf+An99V//ddL+WEUsMalLshn+fAGEvF6va3V1Va1WS6dPn06WJUa6494HBNNLWF/1qlfpb/7mbwpVY7Ewyf1hYhV+pgD+59TUlBYXF9NZiF7I43AZJnIfGDrPzMwkFxA3ZXt7WysrK8l6QUvWZWdnR91uV+12W+fOnSvkup3Z3SUiMAwSgObHjh0ruIqVSkXPe97z9M1vflM7OzuJ/hzjVqvV1G6304tiIY9DEEgEwRC7AQmAlDx7Io2UH2gN/nzDG96gBx98sMBXLqDuJuC2cG8fE0gABONPYwItdLtdbWxsqNPppHG7q9Pv95ORje2ClcBwONQ73/lO3XDDDfqFX/iF9PkrXvEKPfTQQ7rzzjv10EMP6ZWvfOWB+qtUKoViEg+weBTYg38x556zfmXVWB40cWvosI6UHIwCEzYaDR09erTwJCEvEXZFhe+IMNB/p9NJysvTfZ6Dd/9aGgk6Za1exMKcXRESsGQ+6+vricG2trYKTyEiXoCr4f1xvQenckjGlasHxRgLuW2P74AQXEj8fggVtOflB4AgMNdee62eeOKJdP309LSOHj2a0qW4lzytCP/f8/TQXlIB/sMjce5ugBytumvjbqUbOa+M9XXkPtCDPuK9JicnU83E9PS0Njc3NTMzkxTx1tZW2mMS4xbeLlgJ/Mu//Iv+6q/+Ss9//vP1Uz/1U5Kke++9V3feeafe+ta36sEHH9Q111yjBx54YN++cgJL4Maf4eda3QXeCzkcCXhUFaHx4BbfxYM0PJAG8QlU+gGjMcjjaEHaPQmn3W6r0+kUHuJJ/x5kigIv7a19/9a3vpWgsO9UjBkTaXQgB08wpnxYGhXuROVHgCmiK+bnqSkPTkXl6c3HR3zAUYq7Sa5gPHbBb3wsOSs8HO5mDxgjAURX0oxxYmJ3h2a73S6MgfWmb/f3oamvXUQvrjQ8rlStjs6szLk6juhQDu46IfSMnc+c3tAKPqUGocxFTms0RjbHthe+8IX6r//6r+x3H/3oRy+oT/enia5CXGcm19YItVTcGgphXWFE39NdCFcC+LkIOpH6Y8eOFVKWXknm42YBCXo5xPTAo0NRh3Yxb853Tz75ZBI8Hmzix5DBoFGZQBcXAo+g02AiD1j6732O9DUxMVGwMlFB+/uY/gSNEdzKxVgcjntqz8fvShVFxf+9Xi9F0T3Fi9s2GAzSI9/LfHcPwLpy8pQu7gGuCGNzC95sNgt8G+NQKK/oxsJj3LNWqyX0En8LuvPxRGUR26GoGIzBKhiayDQLK43gFcIZYwDSCBnEtIynTrDaccPIcDhUt9tVrVbT1VdfrUajkRiKxY8RbU4EdgSAMkEpSEqKwH07mNMX3JmLzAPzwTdst9tJmczNzWlubi49/cij6WRcEBwUFygLlOOumKf3XIhZE14umIylUqkkRoQWjNmLfsY1ot7UEnBfZ3jWUhoJmltVFGGE1cRBeGjK/Px8etKSNLL2XAs/oQRYT9AVdEZRU8cAL3MkWnQLYkCUOg7/3IWcvuEhXAinBXzKujjfXRJ34FI0Bu8P3/DNOjSPsrvvib/ni4BgS8XUkwd5YkSfPhYWFpJg5o6hZmygA4TMz+TrdrtqtVpaXl4upGvcPcnt7YeZPdrNuFGMzL3b7aac9MbGRhLqjY0NHTt2LOXQsZjQDnrX6/U9zBf9YRQJCsaVAILjKMDhrjSqbXcXwIXVUYEjIa8FwDhIRaVTrVYLdR9eKg2cJjaDAKOsKpVK2nTkwsx4YiqU+VPTghFBccUTpnlcWi4+5UrAkVdErBg1V3ygVC9okrTn9CdX/GXt0CgBiOTQ1eG9L540CkK5QuCv+62SCpCNz52J3JKARPjrEX0PwPljxz1O0e/3Uy661+sVXlhDxoxlRDiZL/NAGH1+tOguOIrwM/aJ9JN/dkZ0Onm6DDpwb1cC9OFxAxf8aJEYlxcJgYS8ghBabGxspGsdvqMo3LVw18trQKL757EVXm6ZZ2dnU8ASmO3Q2xvZoVjI5ujL6cC+Ch+Tr298H3mZcbirBG/GoDFK2tewUqlcHkrAYaRUjJC7BfCgl/uFblklpYDQwsJCWnSI4jCJe/upwL4gpF4gIAGZ7e3tdBwYY2a83W5X586dSykb9zexSlg730fP/LyqD8bnf48XgDxYZN+n7mXX9EFqDfp4INHnTd/uRrmb5Yzo39EQLOjuyrDdbhc2zeASgWQ8WwOjU/xDPX7cPObxGeYW92I44mCORNYlpc1QvV5PKysrhUCgZ5747ZEjR9LRZa4Y4Tsaynec4PO/j88VmCsHV7Qcioq74wrRd1fCs4deCbDoR44cSWWWHshyIXamc6aBmT1og4V1zQxhgII0h2VYVgKE9Nnv9wtBObf+y8vL6vV6e/K03uKiRu2O/0dzuJ3rw5Wez8+Fdnt7W+12W48//riWlpbSdex2IxgZ/VHm5fTEF6VvaOT73N2PbbVaevzxx1Nq0n/rL4Qp0kIaoRzGwFOQHDl6rfzq6mrhQbDMlzgOAusWGpeIoKq7BShej/8cOXIk/WYwGKher6edi/TJX+czn0tUBs5jseAKvoy8HN1ZR2e5bFdZOxRKgIE3Go1CdJqovf/OYZUrhshAMKgfCBqJlmu+QF5Q5EjCA4owO5bffV7G7jELRzGRBjmt7z4paIP7+ni5ln68EAqI3Wg0ElyFQVAUcRxlzOrMJY0srbtMZEba7bZarVYKDnpMwOsJ3AI6XRAKH5tnfFhrzhfs9/tqt9saDod7DpfB5fHx+v1ARygD6OJl08PhsPD4NsaO0YouG2OmgbjiujFPR3+OYPi9ywpjcKQS08vQdL92KJQAgkmkFkGr1+upltsDTxCT38VtkyzsxsZGUigxruDRfT+pyIUX6wd8JGA5HA6TJd3c3NRjjz22xzdzfx7kAQMj2A5JPUDm2q3RgnQAACAASURBVN4jvzwXkN+6f4xgwUDQh4AZhSNkEGBy33jiNHZkIBX91JjaxML72QidTkdPPfWUVldX0z1805Bbc/qJVo+5eaQ/+v2SCrD47NmzarfbyW8na0IgjXWBHoyDPqgyRGF5DYePjYAfxTpYW69+ZPxRgKGj09hPGWJ3ImvnbiIKAN9fUopneOzAjVdUrrEdCiXAQkxNTemaa67R2tpashwIAYLs0N8JGWE+L5AFVWZepgrBsBq1Wk2dTieNy8tuYwlqv9/X6upq8iGBjdHlkJT881qtljIEMDJ9xayAZwFYVA/UeUwE4apUKqniz/uemNg9pm1jY6MQBPR4CQLF7z2qHN0pFCLjdQU6HA5T+aofjUZfjii8vBkoDsSmOQrDHYG+KDxSxdAEpUeJ8OzsrNbX19VsNguIDMXpfrw0ii944Rf08ToUT+268XCa+njpg/lz5mCn0ynwZLw2Il/uB8qlMAjFTraC4ixXqrl2KJQAE0TAqFpj8A7j/X+H1m7JpGKRSg6COayUlAjmlhTNytg8XemHY0SXxefk9/VMB2lBT3nlriEYFyEjig8rBh24B8zBXxdah9huVd2XjfELn5/TzZUJ43PXAMvlbpxUVDYIulc0RveIedNPzKy4e+SwnzVlL4DfGyHndw6r3ZWL9JGUSo+Zr7uLbvldoJ1no9WPEf3o2ubWCdpinPx0KcbivFTWDo0SQEjIrTpUi8SJn0nF8tS4CFJxNxUM54tO8Ipo6nA4LGhSj0ZXq9UEcx12wVguEC4UWNHJyclUVOIZj8hwMLsLjvvwvqUUJQBjA/2pY8DXjZA1Ryv/zhnfmZPrXOCjEsCNYt6e4gOV5NYzKmcEexz/OLphrIPBIPGRpHTqEsVMPLrdA2vwivvl9Ic1r9V2tym72wSfONynTz5zxOQp0gjbnScYT/yNK5b5+XnNzMyo2+0mRXdQBSAdEiUQI9MQ2C1TrjkycL/fGwRzwXSfTlLaUeZWl0i0H1POou/s7CSXBd+MFxa+3++n9GKlUkl+pkM60mekdjxa73l1vveaBS8KIRVIQyl4EFDa3R4NvV1pRuEvsz7RT3d0QvPrUIi+841+ut1uSmX6nHHfWDdXWO4yoVgIILsl9piQP9zVeYwMDu7C4uJichlBUNQw+PyY++bmZlKy7Xa7cF6B73Yl2M2acY4BNSPRNcKIORJw3gD1eE3N7OxsoSDszJkzGg6HhcD6ZYMEYIJ4IGNZ8/ysK4Q4YYesrjCwrA7pHQr6PRyiOuO7wPhCIYR87mk0L47xbbf4xF61tr6+nubI4RcwqlfQuZDCkDFN5O7SuAIsn5MLoLtVkUYoQ6cDMLcMmaEUHXrnMjk5VwlXjRYRIXOdn59P2739WncldnZ2ElLyIBzfu7Di+5Oq9J2akXckFQqK4AGH/7G4yFOyzs/8Hlq4C8z1nM7darWSkon0ybVDowSk0RlsMfhHi36ZC6jDytzvPaIObIa41ANEi+j3cK3sENEVgDMJ13rKjFyyR9OxRp4d8MDgxsZGEmgCSF4/Hl+SCiccuxWB6Zy+MW4Ssw5ufXP0YZ7QMyozBMiVFH14+isXRWec0LnMZfH1RjDxldlR50jA4wi4fQQNOelZGp3txzVRyXlRjs/BMxmubFutVoEmzNGr/NwVwLjFvt3Ngie5li3TGI1xAUHaoVACUhFGIpjRypUFTlzwnTGcyR0JVCqVgiBSYgvRPVvh1XNu2YlOO1wE9rdaLa2vrxe2qbp1R0C4xgWfF336Y7Wc4enPrZC0qwC2trbSA0lgfuIeFAo5U7sfjuX1mIYHotxSMn5p5Jr1+6PHp1H4xXUezMM1kJTqK1gjPyY8Vja6BST24UFP389BwAz6+PWxinNlZSUhAi8vR7mB2uA9NvxsbGyk6kHnEbIc8BQPeEExuLHwNHfMfLmyYp6OzHgP/05NTWlpaSltj4/p81w7FErA4ZBv/oDJnQn99/FV1q+0N+7gEe0YiIuBFw/ukLbzvvBr+/3dysFz586l8+v8eod8XjBTr9fT9Z6X9gAb1kdSElTo5L7/9vZ2ekqvpx4nJiZS0ZCkhCQ82IXSJa+fi8sgHB6ogp47OzsJ7XhsgT0BPFIN94j7cY0jIHcxoJs/hs4FxRUVW6txiRzK+2Es8ASChqLe2NhIOzERZubgWQBfD8bGeB3BugV3FOPuk/fjwh3dH4/fuKsFnX0s/X5fc3NzarVaBaOSa4dCCdBc2Nzv3M8tcEXhLYcQfHEiBOVzxhAFmH7cStIQ4LW1Na2urhaeFoxlitFd+vNDUBy6u6vhjBGjx46IXElJSvUPWCLgJ9Vw7mNiNX0LdERcEX0hQCggf0AHc0Excdow96R/3xPhQoQQ+hzjetEPY0dJuWJ0aO3K2Onnysq3/6Lgfd7Q2dGjb9BCSfA7xumfg7y8EMqvdb7lb3SHfO2cP6i9mJubK6CssnYolIBbZxY15vujkDtRgMxRUfDXfXYWwLUxx1RJe9M8sVJQKj7SvN/v6+zZs+n5gaRosEREvXnopc/HFR39ejlyv99PBSVS8dQbAk1eyYaLIo0Cb8QR+v1+2oBTre4ercX9GBvNz0aIMRZJe5QMkXbfMLWxsaGVlRW1Wq00Jsbtygzh8nMNXeD8ABlJafMRuf7p6WkdOXIk5fsJ2OH2IGyOCvDn3d2DJ7rdro4ePZrWwK1zVCLOK6AXIDtoiPF4JsZRBHRAWYNM3WhBBxBiNGDuvoH+JicnddVVV6nf76vVaqndbudEb5evSr95hlqELRGSx9iAt8iwEc5GAY9Kgz5ZLBiTRcAnpDAD4q6uriZBdXjsB2MMh8PCkWAeG4gBslxMgNhBDIxJSogjBqn4HEvrFYzu887Pz6cgGMrO4aj/9fvz1wtf1tfXtby8nF4R6jq8l/LPPoxrjND4GQrxcBPGzBqxq9LnSoGPowqE28+EYF7OQxGJ+Fr7evj//rlnQGK/kXcP2nws8d6s5YkTJ1Jco6wdOiUQW5n/n1us3HX+3t2N3H3idXHzkQspFqnT6ezZhZfr1+Ebn0e3IDduZxIEnN9HV4XfuFVAwRCwY0su7gH16fzWlUCOLrw8JuH7EEADFF9xrQuBpAI94xx8rVyIYjUcsN/p52lXFIcHMykrj6m5iNDiWIjj5IwH9y/7zuMBsd84/4O2MmUT33Mwrm8Si+3QKwEpnz+OWjgn9N5gHNwMF9pooTzS7rl4ikRarZZWVlbUbrfT8+WcURmPP++PwA7QEzg6MzNTUCIxMu9QcX5+PvXF2Xmcn+eWlLESH8Aq9Ho9ra2tqVKp6OjRo3vqJYCR0dfMWUQaSACFuLKykjZnxbRcXAtQEL5xFH4P3vpmLPLh7jrBD94ndGAOCwsLajabajabyZVAORCr8DG7AoDOrFHkL9Yt8p7/1r/z/D7fXWhzRemKGben2WyOfR7oRSuBfr+v17/+9VpaWtIf/dEf6dFHH9W9996r1dVV3XzzzfrABz5Q8DcvtLmm9Vculx01Ot+5QPvnUvGUXN+y64vT7XbTycFYXZjZmcUttm8thrHdH4xQ08c+HA6TDz8xMaHjx49L2mWs1dXVZAk96s84Ys7ahYJCEhSKuxOM1ekTUYGviQf/ckG8GMCKZxM67Vkj97N9Dh54o7bDIbyk5IO7+8H4KbZCSbHDcGFhIblpnjplHqyrB0FjgJS5UvHovJcLQEeFRx/n05y+MXjM9/Cmp3Vju2gl8LGPfUw33nhj2n33wQ9+UG9+85t122236V3vepcefPBBvelNb7rg/suEPwe9pSKE9ub+5jjoNhyOzqjzz7y0leALkNS1MNFk+vbAn1t5vy9KI6cEnHk8SIZ/iz/r13s9Q7SwUdlghT1dxfdxnA5vnXH9fy9/dbjrUXvmQX2Guxdeno2gQ2O3zI6qEAJptAHMlavPG3REYLRSqaTIPvPMuQPOU/59pIMLtfOv85jTnjYuer9fi7wSFZAHInPtopTAk08+qc9//vO666679JGPfETD4VBf+tKXdP/990uSXve61+nDH/7weSmBHMySirvy3MfkO1oOrvI5fqALKRrf74+ARWhFuoX+fI+3+6xcI41gn6QC9I2Cw3Ux+uv5YNJRQGIWnvx3tLbxsJDoUrk7QF/sVYiIyekZ4bAroHq9rtnZ2VTy7FFzjjgjj+3l0r7hCFp6cQ40igJEBsTdDuocoJNneBBSHgqL24JyigoZWnlmxpsbCufJSBtcO65xtAg/nw8SyBkLNzwuK7lTrrxdlBJ473vfq/vuu0/dbleStLKyUii7PHnyZOmjj7w58XLlrL7AvPfAoDOIW7xcWtCtI80to6dyuIZ0l58cxKYNoDnnBPgRW94/46O5sHsAzTfPMK9c8I/zAfD5GT+PQpN24S/xhFqtlpQCysotq9PMrWe0WLG54qFQZ3FxMe3Uw3Xy2EMsvEFoq9VqUmi+WxIe8fEgUNXq7rF0vvbsA0BJo/jhL/xkUMS5c+e0s7P70A5/2Ct8kAsoO/+VwX1+x1pHVBLp6O5PzqofFA17H64oytoFK4F/+Id/0LFjx/SCF7xAX/7yly+0G0m7zy+s1+v64R/+4T0MF5mwTBvHl7S3biASxAkZhaxWq6Ujx+fm5tIOvNhvtN5Ro+fuldPccX4+h0qlouPHj+tXfuVXCu5OvJfDV7fYOZr54a2ueKKrkKO9W8nFxUUtLCzohhtuSArWYw2RGXPj8cxBFK6ylpvT0tKS3v72t++ruFjjqFRQHB5ToA2HQ83Pz+/hF6dHpNnk5KRuvPHGPWvkjWtzSCD3/zjeKmv7IYwLVgJf//rX9fd///f6whe+oM3NTXU6Hb3nPe9JxSETExN68skn0+GW49qZM2fUaDT0r//6r4WHYEgjZvWFi4FATxd5gYgzoBdbMD4/1IH+2XF21VVXpRr4VqulJ554IlkYGJqUGCXCGxsbhQddSsXgFrnrePy4B/aYF3+xSO973/v0gQ98IO0JYPzssXC/GxoCk7Gwvo/g6NGj6dDMq6++OqVD6Y8NOE5rRyTV6u4Tdc6cOaPV1dV0xiIpwna7rSeeeEIrKysphoKrwVoQbGu1WkkZ+WPefbsttIwBMEcyb33rW/UHf/AH6XFffrCnt0plN1PAtRy5Njs7q7m5OR0/flzNZlNzc3OFbMtTTz2V4kIeX2L7MCXNIIilpSU9+uijaY+KBzedNyQVyq3LrDzxKKcBfOUuYy5dPRwO9XM/93NZ+btgJfC2t71Nb3vb2yRJX/7yl/Unf/Inuv/++3X33Xfrs5/9rG677TZ96lOf0ite8Yp9+3K/K0Z0HUp5kMm1N9/FwhT3wcogW3zvkXUXAF9cCE36zvPXvgeAQyPIVyO0KB/6cTcnVxEGlCYtid+MpQSpxDFCP0kpdkBADYalHj8XnOQ63nu5sisD6EY/rMX8/HzBH/WHyrTb7XQf0n0eP6lWq4VHhXmMwTfbcD9cJ9/NCO1c8DzWAv/gxrApiLWbmppK1p+Kyxxdcu5Cjr9xTzw+4GXeOTfBxxxjSfshAF//ce1prxO47777dM899+iBBx7QTTfdpDe84Q37XsNCk95xC45icJgoFUtLpZHPiNVhcT0WkCNaWXqRz+iXg0VzlogFomCm1+ulc/XR3r5BxrW4/x/dEv46/GdRCRhKKpyfGOvEXfG5ciRQh2Dy22jxaRGq51wwv4dnARg31rBarRai8wgxvrv7zx7dpvpSGj37j/d+tLcjOw+Ewk800FEsTUZJ93o9zc3NpbUhm8Er8hC0KXPRPDPlfO87DiOv8r/HcaRiTKmsxXuVtadFCbzkJS/RS17yEknSddddpwcffPC8rmfSvV6voA3dAkPoGLV2iy0VLZMfX+UEKfN9fbGixp+amkq78yJxEX7cAx624dY+IpEyf5s5cg+PjHM/mAL46BV7vuW10WiUWgsOV/WCJp9/TuA9/TVOeTrsRYARKq5hjNLozD9J6UEkWE6UgisR3DbG5MFc6OMKwJGM8wPbjXGFoJXT0IPIuFqObqLSjMrcjZWjXDcC0Q3wjJgXTHkcw+mSa7nYQVk7FBWDTHJlZaVANPLdLHLUks6skRGpzy9TAvx1l8FdCIfiRHh9ISnD7Xa76cEjHB0Fg9VqtSSY0ihNCZP6VmFafO/pHrdwrlzcSiJg3A9Lix9Ov1TOOcSVVAiMeXMlEFNQEZUhSL1eL52tsLW1pVarVXAdgOru7nmMhrgLVs9hMyXQ7MdAKDgubGJiIqUioRGIAwU1Ozur+fl5HTlypMBXFBNVq1UtLy8nWnEGJVWetKgEnGbMN/r6fp6Fb02XigHfWD1Kn1GZxAb9IvrItUOhBLy5MHq6SBpZn8h0zoj+1zWqK454P3/vfbh15Hsqztrt9p5z6fm916WzQ9EPAHFYHjV/hIX+Hc9RqFQqyb/ke9KFk5OT6VkNzA1LxxOKERDfHYlwxUIpb85QTnt/0R9Cj1sU19c3Q/m9XMm4ksQYRMHa3NzU2tpa6rPT6SSIDc1Rvp4NcYQJ6ojCxSPQSCnCPxGN5pBAjqfcCLkSgHd8/hEZIAdOs5xgx3uP+y3t0CoBiO0Wj8BgtOoO+3LaMncPGDlHNA8iOYNjjdbX1wuHNUT/zH34aCEdJqLd+Y7mAUP6cOZAWFEuCAz98juPjoNKyKJEaEy/CDHj3g9K5pQBQkjGALjvrkb0/aGBK0DguLtFruShPbUIxJWk0SnI7K+QlFwf30bM2KGJw293sZzf4LFxtMnxlX/mNRMu7FH43f3zfRCO1pyXfVy+hjmlTjsUSoCB+gYMt+TRMkXrExWHa+bo6/o17t+6oGFxgIQseqfTUbvd1tramrrdboHp3Ud3a84mFY798swCfXMCEWOOm214kbJiWyzWwQUEOO8IamdnpwDFr7rqquSju3uRi3I7rdyi56Ar/w8Gu2c0LC8vF1KOXryDVcaiQz+3jMQQPNDozO8w2D/jNF/uRwEVuyd5IhHrGtc5CiAxDecdYgNxrVypu4FAEHPzjHIQeShuO3djA6oj/gWP0d9B2qFQAlJ+wG6R+E2EkFEbj4OyZddGheJ9+aI4fGNxsD5x0w0lqyw6KScWFIsl7T0qyhmdABUM5QwqjQ4VRUA8FjIzM7MnOBljCZubm5qZmcnGTCKtcrvk+M5p5JbUr0X5ucX1dfBUq0fT3UXz9zHwCPqBdtQicE+e9rO1taX5+flUNVitVgt7Qpgnuf+4XZkx5vjPlVFcK37vqNGRYUSeTtt4PbQinQm64Zgzr7gskwnaoVEC+8HO821x0jn/M34fieWBMITeAzWRAZkH/Th8hcEQaPcrURYO2+jfc+exys3TXp5nR4CIoDPuiIQ8YEaLitdpBloog8KuGCPKcgbPZV+ihZNUcE28L3cH6Du6Edwf2uA+oRQRcN+r4GuIYo2n+jp9cjx2EBeqzFUYJ6ixzzheXAsUntMod723Q6EEHFrGSGfUhPGaHLOeb3PL424IFos8rvtl7gLwIgrvGQUKiogoo6GbzWYhYs08QQnsoAO2TkxMaG5uLs2RIqXBYFA4GJMTftlz71aB2gCYXxr5zl5ktJ/liM0Z2fdOeGzFTy5iTNyHTAmKSlKCub7eMR3maCIqQE8lsqnJldn6+npCLrhaHrDk/v5kY1cAueD0frTxvxF9lvF5rnlfKCYMUbvdTk8kgkd8m3euHRolAANhFSIs9oDJOBcgMvBBAlvONDHyCwE9tuA1CEBFRwnuN7LACBrXkm5iPjAVkfydnR3NzMwUSop9Q4srAWAtQTLy/x4fABpzLn2uiOp8GHGc8q1UKunYMj/lx2k7Pz9fCFJyQAu1AQiw+8HxkNJc4LdSqaTMB7sWPYjKuhHfAN1sbW1pZmZGzWYzZQ7cDRgOiycERwFmXXL04DNHka5IcgoutoOsDzTiyd7Mh0xbWTsUSkAaWRGsglulcRMvs1oHgWWuOGLgUBpFcFk8t2QIGN8RLyAYh4DxPsLamMLkb7VaTX6oMw0Kh7H6tle+Y+Gx9DAtcyJAmVOY0Vfdj245wfdUHGm1SqWS1pXxDAYDNRqNPSc3QVfW3wOJ7jL4nKLb4X265Qdl+PVYSd9WzDidP6CPI5tIB/+b47uICGL/B3EFYmwgImh3USle6/f7qTKyrB0KJeCQxgUxFq34xPdDAwdtEQm4RudZdET94+Ed7rczJl8MD/555N2v9zJgrA0HgvoDWLD+jBmUQX8ogfn5+QJaAYGgHPzsgZhOdWt1vg261et1bW1tqV6v69ixY5KUaOhltwsLC4VqvcnJyVRpiZuElUYZ+8k/WD3GSz9zc3NpTAiDK27o3Wg0Ut0+woIr409xhr4o2+iGRljv3/n7aMXjNePgOtfn+vG4jseucAHb7XZyDcraoVACCA174xEWGHlcy1mk82Hi6ON5nzw7AMYBRnMNKMHH6p+7AvE0HgyJZcINcj/aBZv5ODJhQwuLS3Q45uQbjUZCAFxHzIHYgVcv5iB2jl7xf8ZOefXMzIwWFxfTzsHt7e10/sJwOCyktVBaUVjZXyCNDnHBqvPkKJQjCGBhYaFwdgBKAneI+7darYKbBV3ZqDQxMZFiKh4YjHMex4v+Wc7lOigSKGue6aE5r4EUUXRl7VAoARray/PfXsHmGz0c6kVLHBeJz91n8wXx4hkaxJNGzyN0/x6r4QvhhSb+cp8cxoyIx5nblWLcN8Hvtra2EjJBCOLzF3AtONAUBnHF6nGOXHOaOM39c/r0uAabmqhS3NnZ0fT0dKJdpTJKo0pKh5A4GgTJ+Jzc7eDlm6CcT6CXr3lMz3lch/t4MI1+vLw57rVgbaAjhoHvo1vrrkwuUMg4nXeixXe+drfRkRL/u2uaa4dCCfgE0FgQ3pVAZASucX8HAfOgC0Qpq712JeCWEIaMAUpgLQohZgl8xyCLh/VlTm75CAQ6NKX23h+m6fsniD+Q7uLlG50QELYMu9WNzEe8wT+L732tvPkWcLIQzJsHghLsoy5fUjqzwJl4fX093c/n4sqd9YhpPmlXQfmzDH3sIDNiDjFl6jyEK4Hr5hWXrgRYEy9+igVEkW7Ov264cH3coDgveQWov5zX4vv9Ao7SIVECND8coVarFaq+PGfPRIGO0l5YmgvEeHAuB834DgGPFW0suPunDmFhCpjNLcLk5GSyLmyZjr5mDPAQSGPxKUryGvLBYJAOecVFqNfrqW/uQ9ERAuLVd5GhnKYxZZiDwU5fSckt4Lx7nm/A2kxOTqYDPKampnTmzJn0/AbuieJEEKmS9LoDX0dHD76jkPFwX4/jeDbH0ZO/4MH4cFMqQEEq+7XIb7FFhJJzD1ljkErO4ERkcJB2aJQADOgwiWooFsqZ0yPNOeJFd8ADK+P8L0cLMYWT+xyG9WfP8zc+bZff+19p7wYUZ05PU3lhD4rH0QS/hzbdbjcpDIRfUrLW0MxdAQ9glrUcOijzl11ZuRWemBid7NTpdNRqtbS5ualqtZp2ZEI/LKQr1Vi9GF09p6tbW76LQV7fUOTID/cFJMM1jgZ9HE4HH080Rvu9cs1p6GdVRL6KPLafMjg0SkAqHsk9GAwSU7CARMRZJE/5SMXgSoS9UjEqX9ZcKKIScSXgCsDPE/Ajy0gbMi9nSH/+oQcNEXaH//zOI8hYN/xqZ2DguJ9/gCUknuAIyBWfxyDK6BO/zzFvfO9zZpwoeZ7nsLW1penpabXb7YQCPDDnm44cQucEMY7RlYArV2jpqUUPqmF1t7a2UkZhMBhk41M+75yijM3p5sKboyU8BF9tbGwU6BH7OohSoR0qJQC0cqgHY+D7O6PGQJ60d0EiCoiLFJEBAgPT8XuCVO4v9no9dbtdra2t7TlEJDIb0NKPFgM9eF4fK8dYQEL9fj89PQjGZ2MMD8+gCIb+lpaW0jmDfsIR1hhF4o9biznynGWPyMURmaMC/z3C5e/9DEdJqcAHweN6+IB8vis131Idla3f3xWt11dQ0cnDWuv1esoKIGDb29taW1tLFYz06QVFOfeTFoN6OSHNxQE81cfuVdLWnG6NqzROCe/XDo0SGA6LB0hEy7u6uqrV1VU1Gg3Nz89rfn6+cOy3Q2OP5DuR3WrEe/v7XCTVfVTgKha/zB/zezsqYGxeycW1LizEHSQVFArjhxnYnESAURpVF7rSiGfzRZfJx8B9ckqgzB0gfuEuC1H/WC0XFRGpTp5wPBwOC8fD+fh9TRBm1oGqQ65zGrjycheIPohVuOuEUgZBeUk4axTjE2X8HXnCeY/P3d+HZ/wZj36MnGdOfD3Gubu5diiUAARgB5r7y64119fXNTs7mxifE2ElpTQZwpKz/n6/cWNhgYgCu+Ungu/lrGXowxfWg57uBjga4S+CEdNz7h7gNsAgjNeP4KpUKoUCI9KuLljM14XbhcXplYO/kW5x/dzH9pSdIyUyGIPBQGtrawVLD/TPwX/4w8uJcYG4Z7Ta0dVz+nJPj7FwD4QTZeFpTldO0TUZx4ORR6GhW3+gPydaO0JwOkclXbZOuXYolIA02tQBo0R4h6WjiOT06dPplN0TJ05ofn5ejUZDR44cSVbE/T5aDgl485w5D/jo9Xo6ffp0YZssfnWtViscY+WCEFOHXo3nQj87O1sIBsLAWGWPfMe+t7a2tLa2lvLw1Wq1sPfdMxiSkuUiFedCgtJxJMZYeV9WUstfD15RmOQl1a4UqGRcWlpKv63Vdp/34MFUFF7cVeiKEqW8trZWKO9FsGdmZtJcKaryrEF0xUBpoA1iGqAE0sfQ04O2ZbQZ554yXpSaGx1iJvGMy6gEcm5bHE+uXZQSaLVa+o3f+A3993//tyqVit773vfqec97nu655x49/vjjes5znqMHHnhg7BNRnRgcQ83iu0XER4ShK5VKOnRie3tbrVZLc3NzSUBJQbkl50m8UnHv+vb2dtps4nnVqakpfec739Hq6mpyQENL/gAAIABJREFUAWKjYo3xdrtd9Xq9hAD4jTOmLx7jd8XHffD3CIA6E/A5qVSY05UITIE7AuMAv32HnI8LhRvdAZjJfVGsIWvmT1iGhkBx6CKNjh8n1oJl5RgvrK4/PNVz8Z46cwHkM0kFWkijB5Kur69reno6ba7xegPPOuEmeJ7elQSIirH6TkxfX9BDRIIocU5g8lOrOLHa082OJmPcI4deHOGNC/ZelBJ4z3veox/5kR/R7//+7yfY8od/+Ie69dZbdeedd+rUqVM6deqU7rvvvn37Gg53g2Du13oRkKMCFhc/3S0Q2htN7Q+bJC4Q/SeIlcsm8KAQrBuMEeEdAukFI1ErRz+Q79ziOaMwJhY8fufj9P5c6bjPz3UwrMcG3P3yfsviJ271YqCQzz2OgYJwNOSBSE9lup89LrAITXIuWU55oWB9Lwgxi9xcfD5RiGI8Ja6zr2d0bymKg7darVYyHu12O6VLXaHmLH8cT26d3IUqaxesBNrttr761a/q/e9/v6TRGe4PP/ywPv7xj0uSbr/9dt1xxx37KgG3gB7Qcf88R2BenLSLr87+8fX1dV177bVqNBqamppKhR++mQJBg3Bofvp1GB9LMH1BcRViUYpHubkHTAtT93q9JIweDMRfhgH5DYJAdNyffgPc9Qi4MwjrlIOPvh58lhOoGKvwl8cbXLlERubcA4fzuDHUMKyvrxfG63zgtHS6eHOrnIPuHLHW7XYTLXPFQiinGDD0+8T7Mm/mRdyGe66srCSI3+12dfr0abVaLa2srKRne7K20C4eoe+y4JWyHgtBAVwSJfDYY4/p2LFjesc73qH//M//1M0336x3vvOdWl5e1okTJyRJx48f1/Ly8r59MaFOp5OCex5IYiIRoroVgAgwkkOhI0eO6Pjx4+l6lI37uX4N+87jiUHRr3f/HwGYmJhIGQs/IMRLPunPhYqFhTGGw2HaZedz8SpJLLmXDPvmpGgBnG5RqA9i8fjf//rnbtmdSZ0poRvnHhBkA/biquTG7lYVISZW4ErUXRAE15V7pTJ6HHm/309u6GAwKDzQlfHSD3T17xwtuaFw9OEFZGtra1pbW9PKyoparZba7bbOnj2bNqtJSu6lVCx1JlvilZ7cg/deDRpjEGWtMtzvFyXt3//93/XGN75Rf/7nf65bbrlFv/M7v6Nms6k/+7M/09e+9rX0uxe96EX66le/Oravs2fPanZ2Vt/85jcLTBcDG2V+arzGmTsX/IkWML5QPPFIaFcA0W3INV8Eh9m5xng8uu6CfPLkSX3nO9/Jjt2FPiekOUUQ/f44lv3gJvT1KHUZ07lV9N+UWbUczSLd/XeMbWlpKUujHK3dCLgFdd86h3IckTKOsrWdnJxMkJ6X1wBEviqjm8+zbF7RDYuKu1Kp6LnPfW52nBeMBE6ePKmTJ0/qlltukST9v//3/3Tq1CktLi7qzJkzOnHihM6cOZP2lI9rjzzyiKrVqn78x388PUwCC8d76rf9uGgsoENjrItvk63X6zp+/Liuv/76tP0Wa1Otjs7jJ4Czurqqo0eP6lvf+laCba1WS6urq0kpsMNQUqFqjyg31k0a7Wv36kFnXk/pAQ9BIzxF6N5779W73/3uwr2IYJ88eTKdiAOSgmlhQmlktSYnJ/Xc5z63cOouDRpEQci5ALOzs4WHi8TUlfvE/X5fy8vLheczcsaBl+RubGyo3W4n98of3BoLnrgXsaO3vOUt+t3f/d09ATIEBB5hfhwfxnZr4Dd7GiYnJ3X06NFUTcixXVNTU4VMEe5odE9Onjyp//3f/03889RTT+ncuXNaWVnRd77znUKBmQeHc3sBvHAtIhzW1r9z9AVC/djHPpaVvwtWAsePH0+TvOGGG/TFL35RN954o2688UY99NBDuvPOO/XQQw/pla985b59uW8/HI6yAv1+PykFaQTbHd4RUHJNy2LAHNvb21peXtbMzIyOHTtWqLACQgLlgKf0RRrLHxbhlY0IGPUD7u9XKpUUOcai048HOQeD0cGXCKYjAvpkjDxkpNls6siRI7rmmmvSdV5xRyWeuyrufuTcAV8P921dadEnf/0Vaxl8DvPz84WSXOiC0EBLR2748blKOpSA1yEsLi6m33t1ZqUy2h/gQVH4g2skpXX3k4ZdsKIL4O+dfrh3q6urOnv2rJ544gktLy9rdXU1PanK3ZS4Bi78uKMeU4lol3XGJUYheJwp1y4qO/Cbv/mb+rVf+zVtb2/ruuuu0/ve9z4NBgO99a1v1YMPPqhrrrlGDzzwwIH6yk3a0y6xfgDGIg9Oi7Ded5Tx6CpOvvFrHE7xHkGFKQm8AQd9O2+E3DS+ow+aQ2Nncvw5lCCpM6nohyLU/uIeEa4yB/eVoyLw3zrEdYuag5re+C66BfTrB5s4vXAr+Dzm7WM5bY5PuAfPA/B1c38ZhZEr1WatoCc845utcmucg+a81tfXU8R/ZWUlpXl9jeK1MZUY38eyaj+r0dfNXZ5xXv9FKYGbbrpJn/zkJ/d8/tGPfvSC+qOYxJkQpo4QCWJABBdiF1T/n9zrxsaG5ufnC/eOhJaKSsCj756lcDQSCS8VlQBCCCN62pF7YYVQgDHw6OjFIXpMRfmc+D0QMuf3RosWfUwPzpY1Rwc5JvbnMDBnFLWXVbuywgJ6nYPT3BEWrgy09CKp4XB0SEwu0OcZA+B/pVJJVaoew6CPnDKEN5gbCoBgoCNFfy4Df53H6S+nBPwJzWQuXHnBL575KmuHpmJwOBzlkf3wSTZKSCpoTy/vhFAwh8PbWOPdbrf12GOPaWFhocBkLKgfegFR6YM0pCStra1pfX29cAgGzO/wlsWQVPBpHa62Wq2sD0f8gnE65JuZmdHOzo5WVlY0HA7Tb4lueyQe+voxZsRW3P+P6VhoHl2H6AK4YuReNFfqfp7g8vJyYlZHOKRcERSi+LynL9/iy1/mSHUgjXvMzc0l3uLpx7GaczAY7RBkrtvb2+p0OoWNWljdHJSnfqXf7+v//u//0hOrUIK4dLyPNHO05XEB3zfgAev19fVCHMzRpCOrsnZolIBUzCXDVLlASUQE8ZXr1/t3f9L9PJiQ37vVRkmhZFyjS8Xz3jwu4eP0gCHWDevk93Ufzk/O9fl52ao0UkBYCWm0F97z4w6BczSiL/8b3++3hrE/p61bOOjim7AcKRAwJAiMRcYVg27u74LWEGJXxPHMAPpyaxndI1c6pJYd7cW4CXNEyNkW7UjrIDTM8bq7Rv4//Fyr1ZISdFQQXebYDpUSkPYWlVCAM04B+LUH7R+f3OGwwzCpeMCGa1eH/uTx6S8GsLxfrxlwC+Zlt66YgMeOLFyRsbAoKsbKvn33HflfGgVYc4rzoIy6H43jejBm7ocLt19GwYN05M+hSYyXVCqVFBj1OBLv3Q1CQTjiYQwRRTF+jhcDKTA/Hzv0Rgl4/j/XypSOv3fhL1MC8LLvIqVU2Xkl1w6dEohRWklJIBwO4wMS1HG3YFzwyq2lF4XEyLQvjFse4CwP1vCNHsBA3zRDHzCIB588nQND+RnxRHn5zv1eConIKLgLxb09SuzWMh5XHn3QS9Fc6VQqFR07diwdMb66urrHYtOYEwyPG4MiwX/HXSLwi3CQAq1Wq8kiwwPuGnmwFPpEBeIPdfV18TWWdpUw7gZ0jUHAHH+6UnYl6DsKMSL+UJd4qjXKipSxx0Zy7VApAWcSqVgk5JAH4rA4uaDYfveBkMDxXOTb/TUI7L5Wr9dLeXLfNUe5saen3NJwPz7zHLD72f47SenZgqQx2fTki8wmGe7vzyP0Pt3n9MDgxSKBMnTGuF3waKyFn5vHeFhb3oMaWBuUBkLtv/e0HmNx/x/B9ypLaMlaQ1+EmOudTvAkcyVWNBwO9yj0cS6WI9KYFeEVYwJedMS1XqCEsrxkKcJL1Vx7xolGSHS+CkAaMQMa1hmV791a5BgbH7Hb7aYTb/AFHeoTdIy5Wi/r9PF7cBMaQA9PVdEv8JT+4r29psKDej6Xp9sd8L69Xw/kuovnezk8zRXrCdznRkk4cosCBopwRYcicfTlAVlPvXLSkbsVjMHRlccUiP3gkkH/ODY3dDmXIOcWRZfAYym+ju52uWIsa4dSCUQBhOlZPI/oRmVw0Ial9KILPpeKgTYXLqz/uXPn1G63tbm5qU6nkxYE94TxxEowaRfZINC4Bp7yYwy1Wi3tp5B2zzfwzShYO/Yq9Pt9zc3N6YknnkgbdICDHC7qNOX+TxcK2K95kQ4WCnoxFj/nb3Z2NrlA8YlAXhMR7yEVDxuBVnw+GAwKLgB9+nezs7Oan59P9yV+4DEJkJ7XGnACENvcpVGA2bMzsbnw74cAXMkzP1e40WD6fpPsuhxw/Z6RxgRzmjAGlLxF60ZzrRu1KveDCVAMHtHnjDeixNQO+E4vt/bujzN+h6CeeUA4arVamheCC/TrdDopjkC6rNvtpnLqwWCgc+fOpTQm6SLmjEKIFtoDeREVRfrxu/iZ0zYGHPmNCzvWE0UmjR5FzvcoAZRUzs2AvvxPdiAWFrnAcK/o+oE6UMqgF48P4Eo6LVzx+H4TH6e7f95iINA/G+cWOCLKrY0bMK4ta4daCeSI4f+XZQjKXIMyGOwLLKkAxTlMBBQQT8ghUOUE9/ux+NHHdwiKlXGo7ONlnpxs4xZeUiGD4g9Mce2PsGGF4/iceZwWZVYrztHRVE4B5OAujWBnpVJJys0/y7l8KFTokxtPHLv3gd/sKVhfK18jxghdokD5OODTHP1y43J6xFfMhkX0O47Xfc5xzWI7VEogx3BMHuHzctqo3XNWiM/jyxfJ+3Bt3ev1dO7cuVT44VYdJh0MBunpu44waL4xKUI+5he33+LPussgKe1tZ9OLb4RyX5dnJhJA9CAX44gKx5nFlaHDYBSEKw1+55mZqFxzPrALDH1OTOw+/8/XwwU0wmVXqPE7xu3uhR8JT/EOLtLs7GzaJ0KfrjCx+O5mOA1cUcWYhbuK+ymAshqA+CpTAmVK+7ILDOZahEUog4gQ9muu7XOW2qP6RHldCbiWlkYpRQ7K5LRcmNAtPkKFEqP0E2b1uEC1OnoKMdc3Go10bFq9Xk/nKsLgHkuoVCqJ4dkZJ2mPMHspMjA80iYihjI6+2+iVY3BMdaMeA/Xe7Yn3sc/d+FH2Fxwfcz48NwDOoD03JjMz88X3DToX6lU0mnDICxXTj7enBGKadpcK4sJRB7PGbqLaZeFEoDIEQrF7EDOF42aMQf7sIyVSiXl+F1YhsNhIcUTFx74F7/LweMY9cfCuLBhufwhopVKRXNzc5qdnVWz2dxzxLpbL3cjyK27Dxz9z9z/TnvodhDGcwjNfGMALv7Og3dRUUYXwPv1a6L19mAczUvAo4Ljfv68QdKrjDsqTqdLRAGR33IW2mnsxiXGq8qUwNPVLhslUIYADkKcnDvgKSGHapwujFWcmppKx3ojsLgBRGpBDpIKQujjh6G5Lww7GAwSJJVGR4pRIUcqsFLZLbCZnZ1Vo9EoWELmCKKQRv4vguNHivF9mWVxeni1ogteGY15j+V1OO+WMlpy/np9vfft94hKxf93Zcc9mRf1BDFwiiHY3NxUq9VK45ybm9uj1L0mw+dVFqc6iBKI6+EoALc3x+uR/hfaLgslII1SPtVqNe2nh0gRIcTmTMFfFpWtp1jjdrut9fX1tBjOYOvr65JUgO0oBtrCwkJSHGzsyKEP5iSpcH4ACABh9spI/Nbt7e1UrkwKiBjCwsJCilAzNh7Skjujzi0YtHHU4gILzRDw/ZpbW6m4P8LpETMFCAGKwV0A3sfPEX6suPMC9/ADawaDQaq49A1XKE4UwnA4LDzmjRJm+gXme94+5wrsRzN3A+jLKwTjRqens102SkAqakvXuOOCJDkFIBX32XvKhRjAcDiqdad5tZo//jqiA5gxFgiVQW58YWlkOX2xYVCyAFG4YBiCZfSJYoD5YyykjD4RMcVrcq3MHfO/LsRla5VTEt5HjBe4knIXAyWBSwU9UJ7U0+NK8RclXKvV0rMwKT8m4FrmDuRQ1UFQQKRf5PP9jNzFtstKCeQIdNBASfzOLQiIolKpqNvt7jnyiWsdjvmZ+74hhxoCGMePx3LICBPDtM6MWAWQAYLvjOvBKwqIQAUoEFAAWQHfaBRRCeN3q+zKJgb2xtEYofPPPf4SX96/r6sLNX3wnSMFn4fX9YOeaNvb24UaEB8vrhTxFujqOXYQw35KINfOJyaQE/4L7fsg7bJSAu4S8Hx4rzl3QiFIOWbDciPAg8EgBQTX1tbS9ZwtUKns5q+PHj26B3UQeIOpvMiEGIZvKJGKOWdJ6XkLZARg8OgaYMmoHKRwiZQX+wlwY7gWxnfUwov5u+AwR7fgzDmnPPz/2Jy5PdCXUyw5Ze4IIa6l/4Z9AhRXuRLh/tAghzA8VoPwUfrLA0HIzlQqlaRQqtWqOp1O6sv3FkQUUJZd8TgA/BzPUyzLLFysApAuMyWwn7aMcDsSm+bMwP/sAGThsTb4gxDbtwE7cztDu5uAMvJtnQT7fAzuizIm/nfUANpAcfjmFb4bDAZJYZTB0zKXIMdUOcFzWo77P7ce466J1s7H7nNhzjFD48qea/iNZ1H8Ps47WH1Hh4yP6lF3u+Icynguzsnfj+PniAL2W4MLcRcuKyUgFdOF0SWIf3MMJI2UAMxAcIftmn6t15j7QRb0KY2CdzBYdA+Amr7AUrHIxufjUN+3vw6HozgFDyyJeX2UGErHBbDMT83540+X7xnvX2a5fEwRHkd0EIUjrrMrNf8NijkG6VDOpAldWfu6ekmwH+N1EOVYRpfItxH+X6o4gLfLWgk4VPK/7nPnrvfCH/ejsbCk0xYWFgqbXer1ugaDUYGJM4dULPCRiucLcjQ6bgzbjSkuQilRFUhfPB9xONx9ViP3jJWAKASUg0PPyGT7Fa1I+XLXMnryt4xZy6xYDp1AN4+O56z71tZWKtRiM4/3lbOk9OFpYa8vgC5sDec+uE6cHbG+vp54wV3AHA0j0vK5+/jG8fKhVgIf+chH9Jd/+ZeqVCp6/vOfr/e97306c+aM7r33Xq2ururmm2/WBz7wgcIzBS+0ERSStIdosWaA986g/I0MiRKgIUzu67IQniLyh4NGqwRiwLeDAcvgHQ/h5HOCU9LuGQIwP/sCqtVqsvi4Dfx+Z2d0YnGu5eB/tJ653/p3Ocge6Zv7Pne904b/IzSO64XF9sIffuPCXKkUzy3gd9CI+4ICqeJ0esAf8Ij/hvF6LUSZ4MfPc/OMCiAix0vVLvgYmdOnT+tjH/uYPvGJT+jTn/60+v2+PvOZz+iDH/yg3vzmN+tv//ZvNT8/rwcffPBpGWjUouOEP8YH/K/3F5WCQ7/YUAKek46anK3JXm5M4I6iIhSDuwQeuWcb6+zsbOHRYlLxGCvfXuqnzsCUrgRyjFhmoQ7CwDl60sZlb3KWMFrEnBsQ+2OdCY4SxY9rjWtGWbfv0eAvMR1/RZgfg4agjsg/41ydHD/5/HIZpIOkBfdzOw7SLgoJ9Pu7+6cnJia0sbGh48eP60tf+pLuv/9+SdLrXvc6ffjDH9ab3vSmixpkZEqEIG4XjS5C9Be9xQXw/DCEd9dAGgkskWjfzOEC7sqCE5Q9gzEYDAoZCn/6rB+Zzdy4P/B3YmIiFS6xDigpP4Pe8+D+PlpP/1tG+0i7HB0PksZy5ZuzplIxUBfX3Itn/Pw+shz+ABh/2pBvPENpxqIcV8zcs16vp1elUkn3JfPjvOGB5lzgMMY8osDHA2FincqlahesBJaWlvSLv/iLevnLX67p6Wm99KUv1c0335yeMiPtPqrs9OnTT9tgpRED5iKouUBR7lreRyWA9QXuIWj4mM4sWFo/PdgDS1gTz7vHfLZbF5RCvV5PkJNxevwCZuLxZJJSEFAqnh/IPTyAGFFCWYso4KAtB11dUHJr4C6Jv4/uWLTWKGynO0/0RUl77MTH50qFjVysF/endJvYTNzJ6uvnMYs494MggTIEtV+LCOtC2gUrgbW1NT388MN6+OGHNTc3p7e85S36p3/6pwvqi2cEfuUrXzmv61hcPxPOGd5hnAeB3DJGC7S0tKTBYPeRWa997WsLKaUchIsLFpVQGXN4GwyK5wnklNiJEyd01113FebBb6JwcV8/scgRQM4lOF/IyTiazWY62eh8+jkog+foCv3j7+bn5/WqV70qe7/cHNyIxN9Fnol9+SPjOYXIkehwONTCwoJ+9md/tuDe5IQ9FgU5iv1utAtWAv/8z/+sa6+9Nj1w9NWvfrW+/vWvq9Vqpcq2J598UktLS/v29cgjj0iSXvziF+/7WydMvV5Xs9nU0aNH1Ww21Ww2deLECS0sLKher6da+nq9Xqicm56eVrPZ1LFjx7S4uKj5+Xl1Oh2122098sgj6vV6etWrXqVPfOITybKi+R0+ttttra2t6fHHHy9E7UEGm5ubajQaajab6Rl5vCqVSoKl3W5X8/Pzmp2dTacGVSqVdERYv9/Xr/7qr+pDH/qQms2mFhYW0qm6Ozs7On78eCHusLGxoenpaV1//fW66qqrUmYCpIPbE/PmrtxAIGXlxpLUaDTSUVrxITExTx/hfWwufO5iOfrZ3t7W+vp6uqdnQba3t/Xyl79cf/d3f5diNpVKJSEDTwlLoycGgyz4bmtrK+2zmJqaUrPZlLSrMNi7MTk5qauuuio9BJZxtVotPfLII6nq9LWvfa3+4i/+ImWdOJmKI8g6nY7W19e1tram1dVV9Xo9tdvt9EDa883iRPmIrSzAeMFK4JprrtG//du/qdfraWZmRl/84hf1ghe8QC95yUv02c9+Vrfddps+9alP6RWveMWF3mLflrPI/vLfxQCOw3WIjaBwbaVSUafT0XA4SgN5JDl3jBSVgjALjMPRYC4g9OmbW/yQEEnp6LJqtaqFhQU1m81kdQhqYXlIK/pjqTzo6IjHEUcMkgKdQVKOqM7XQh30t+4CeFku0N/dBb73a3weFFxR/4FC8TiLZ5BYX5Se++jSaLehZytYQ89UHCRIOA5R7hfHulTtgpXALbfcote85jV63etep4mJCd1000164xvfqB/90R/VPffcowceeEA33XST3vCGNzyd4y20HLyKlsd/m4PpMIo0OgCUWEC/3087Cv1Bnx6QlEYn5LpicSsKo7hVZQzS6JFqCK3n+P0kIAJU09PTabtz7r7D4TAhmOgSQYscTfyznAtEc4vqn8X3+8Hx2KJA58ZUrVb3VHF6//j60ujQUeIpkhJc96IwPqfKkjXIHc7p9QX870Zov3lGBVDGw5FXx/X3jMUEJOnuu+/W3XffXfjsuuuue9rSgvs116QxrZIjpv/NKQEKb3i+H9tJ+/3+nkdTuy/pz6snYAWzYiUoOvEFQ+j9YZL+3Dg+Y7y4NDMzM4XtztJoPwLX+kaZnF8bBZ/mKApEEBXnQTMJUfHkLGS08rn4jY8PRep7LKIgOE1ADQi9u0zci35Yfx7swnmH1CNAH37L/+O2+PqccmlPz2xFvv1utcuuYtAbcDiXXonQKmpfL6hxaFip7D6Jtt/v66mnnlK73U4+KlYChSAp7TzzjTwoCp6wg4Vw14Fn6zWbzcRw9IsVx7VAKGE4Ng7BnA7VPY2GawOScIH0lzOopAJiiTsPD8KgOWEvg8g51ODfYZVZVz6v1+vpENiI/JgPmQG3/jk3zmk5GAySry8VN3shpE4X1sbdB59rVG70Ew8NiSnvK0rggC0Hpco0amR8P8nWBYhg0XA4TNtz4wJJI38eoeU+zpQEtfwgCu6P7+47+jyXLakQsJJUeHipb0Ji7B4nmJycTIHDXAVhDupHZSkVhfQgGYDYDuISRGvpiivnnjAG6O/XRESIpScVGCPxriwYAyhBUgrWusA7usLtyyGS2CKdc0VuB00NPp3tslcCTsyyPGvO72Vh3QJsb2+nyKw0eqgkC+VbVIfDYUoz+m499gY4xCT/L43gJJF6jwOAFhj/5uZmoWyY/QZeMkwgywtg6AOFhruR8/1z7923HWfRxrX9LL83T6F6/Qfr4u6Br230zVGGrJcHA6GbKzJHkf7MPg5t9cpAFFIu7exHuu3XoFsuPXghJcIXGw+QngVKoCzv6oudY34Ej9QfTLGyspJl9snJSXW73UIwhyg8Frzf76cjsxFMv6crhbm5ucTYsTqMvjgfgEYBEfl5IOnm5mZ6BLakdHoOZyTw0M4yGkYr65YuV2V4oa1MKXg60eGwuyG4Ye4K4bY4rVHAvv4oS+/T0ROfezk4z5nY3NxMD5i5+uqrC4fI0Jc/pYg5+ctpXcazFxoL2A99HKRd1kpAGkHj3M4r17LO4MBzmKFWq6nb7WplZUXSaDGx6lJxv3iM9GMdyL+7NXXh5re5qDV9A10ZA4Ld7+8+695PIWau6+vr6QCUubm5gs8ZX4yNwzEYR45xfXwurE6PeD3zcGThv6NFpcS9fO6xeQrPm2/wib/3Um0XMg9+xuIrPyoONMXOwauuuioFJT046AHDGH/hL7T3MnJHLpFXI53L2sW6D5edEshpVofQHjF2okIorJtrfWlX2NrtdupX2lUCnBrji4mycQWAhUexxLJmqfgsvmg1+B0HV0i7zEhgEWEnRegKAzeBueUCTZ5JcHgdffbIvCgzr6zEcvrvfB4+Z+/bP/N7RXfOC4Qi7RmL+/xunb1/lIArZbfEkgp04DuPRXgqsdVq6ciRI4Uj3JwPoUsZAoCerEnMCvi4Ir9fyjjBZacEci3nX5X5u5KSn8iC9Xq9BCPxqyWldFy/309Rf2dc7kVcAOZEIJ1ZnBmdIaXd4BO7DkEe9Hn27NlkNYiWA4tjdLxWq6UUmLsojIHjzP3hnt+tFhUD8ynLIuSgM/NAUFFM0Jm+3IVAkHd2djQ7O5vWhweJRPTjuzGJK6B8Vlcs+s/mAAAgAElEQVRXdezYscK1ksbGBHKuaJyTK4Jnoj0rlIBD/1yUNedrUdVXq+0++RcB9DQPggXs49BKmBEmIZDkO/ccKsKUCKin9qrVanq68dbWljqdTnqqEPdCaZBRgOn7/X6KZCMQvsEJl8WF6nz9zvP1N3NKN36OmxSzAswVhQmduNaPl4e27s9Xq7uPYCNmwFrSyJLE6kdHZa7IWS9HG9Dc5+SbxMbR1lGp86sjgktp8cvas0IJlCGByJDOhE5w3/fvn2N5YR40frVaTRbC/ViHsW6VuD+/I/UHYwHn3W93JqUPL12mT5SMCxNjP5/2dESZveUUgH+GYvNxxzWURk8q9jhHTgkwfh4wAp2jf43ilYqZCIfdKACUCXEexhL5JI4hzjXHh44GypTA070mZe2yVwKeAjpIsRDX+KL4Zg5JadFrtZrm5uYKe/zpx4NgbtWAk7nmMQQYgZOIaewhkJSeQsw1g8EgbdYhuwDkhbk9YLW+vl5wb2LQ6iDt6bJMudgB/yN4HtxFGTiiwvVBQcQszGAwSPGSwWCgdrtdUNxkFPwBJSgLUAbrQVVho9FI46fWg01AftoQ7puvZU4ZxJhADBBeKvqPa5e1EohR7LIIaw4NeH7Zz47zSHOz2UxCNRgM1Ol0koD7JhcUDgzumQP3KSkJpszYGR8rxROOmQPBRkkpSCiNUMHMzIx6vV6a3+bmZopjrK2tJWvmwUDchUvRyuguFfdrgARYi1ihyPz99Gd38/x/ioB4z/wo+3WF7cjM78tnuHiscy6QvLOzo3a7ndyzbrebLQjz9z5mVwauAGLg9LvVLmslII0sSUwDxaxAjjl5jzV3/w+hHQx2TwGq1+uJwTyC7Ispjc5CdGZGOcBsWGyHwigf34zkFl4a7ajjet9nwO/LsiPQCVSQS9FBz1zL0TF+v1+8wekQsyMoAOIAuXJdX1sP3jnyAxVIStt8PZjL+5hSdIMSsycgLleiKB5pdPZjLMjK0SYqMA94xrF8NzID0rNACUj5c+0i40h74wJ85hrZN/lMTk6mwBsBJ/e7YQKsLX6jB+Tq9XoBXXh2wLfEcoqNC2EsYPHgI2PwTT4+73hegKQC6oj3cvpEgfDvc+9jH87E0Q3wctuoAKC5w/2IsvjMD3p114+gHXs6Op1OQbHwW88UxGAyZzsyH2pAvHzY13xrayudVTFOiforppDLlMd3o13WSgAGwgq7n+2L5M2jz9JopxnCFbepAt1BARSO5BgLn51+p6am0pNtO51OEk6YCSE/efJkigXs7OykykT3W5kXBUlkArBCpA6PHDmSlBGbkxwF+BOJ3D93XzXWUDAfD0LGAKQXarkl53cRodGGw1HANGcN49p5FoHrXSH0er0Um9na2kpPYRoMdussULzUhNAvc2QNWD82d7GOnmL0TU1RuXsGguCxH2Li1+PyPFPtslYC3iLUyhUK+W98kVAAHol2qxgFAsaF0T0K7dczDlJiDuG9/pzPqtWq1tfXk6vhTy2SioFFjxt4/h8Lh1sTYyAwqbdo7Q9i8cvWIPYX75NDYtFXjlYzvnwO7l44KmC+HAMWC3xwx0APKDD6hn5+hgO1IL6e7u6V0cT5zgu3fN7j6HaQNu7a/dbwslcCOeErqxfw3yF01Av46TEE8+LWUIevXp7sDwzxvDZ9OIwFOXDkF6cZ8Zter5eUCwecuB/vj8lmLmxQ4rwBVxpe0MRcvPyX5uM/CL3HCXqkWe77XL+5mE7Ob45uEhkSaYT0PI7itRVR2fT7fa2urqZ+2WcBuvIzHDxT4E8jcoXua+9zG6cInul2WSsBJ7TD2Vy6MDKYL1iz2Uyw0Q8H2dzcLBwB5v6r+3UO+2LAsNvtpmvxK0lj0d/q6mpido7RhqlQAMQlOP0WBDMcDpM/ivLwXY3MO54LkLNg7quXtYiMooKMcYRxzRWGuw/uonkQ0VOHvs0aRQCEd5h+7ty5pOQrld3HtK2vr6fTmaiuZL1wGXy9fb7wA0+OYs1zaCq+PAANj5alk7+b7bJWAt7cWhykehAEgND4WXzEDHjugFskFALBOaBnri5hMBidbSeNjiFzaD4YDAr+qbsg0YJjpWLFG7AfFBM3xTiEzhW1uGLwdFlZy8H6+D53TUQJvPexMk5XBrlsjMdhiHUA4ZmLrz+09NiFxyLcSEAnlIErBec3ron0jC4of33sHpR8pttlrwQikSF0bnOGL5A/0svP+HMkEE8F8oi8w0uH3c4ABPNc2ICP7q9zCGk8Xmw4HJ174ErA3QHGI43qFYhs+29QFp5NoMHEXjuxXzuIwOd+E5GDf+Zw35ELwptb5wipEVhP22KBqSbs9/uFg0NyW4/hC1cC3spgfy7SH10BRzRXlMDT0GJ0mwX3AoxcgJBqPKL/HEVOtdhgMNDZs2fTYRNe+AOkB9rxwj93hsqlDxmLP00HS+aHjUgjwfStyigL5tZoNArug1tDGH0wGBSORYsMHOF8GRIo8/PLfP+DIoWcUDF/FKQXaLmg8xc+4BoP/klK0XmKfejTo/PValWNRkNTU1PppGjcCdAWaMUDtHFuEXnyHlfmskIC73jHO/T5z39ei4uL+vSnPy1JWl1d1T333KPHH39cz3nOc/TAAw9oYWFBw+FQ73nPe/SP//iPmpmZ0fvf/37dfPPNl3wS3lz4cy6BuwMwDFARf5LyVPYUTE5Opj3k0t5oeixTRgmgkLiP1/77+NgwRJTfLbZbIPeT2TKMu8HvdnZ2CsrClUDO+ueUAX/LoK63cf4vc3WYnYsbRIHJ3ctjKN6P1xjwO+/LlUNux2V8AClKIhdH8vFGNOMIJQq+f+e8yfuno+WU9kFjM/s+kPSnf/qn9cd//MeFz06dOqVbb71Vn/vc53Trrbfq1KlTkqQvfOEL+va3v63Pfe5zeve7363f+q3fOtAgLqZF39Sj9mVpQqlY6osSmJycTDlcrHi3203owBkkwkD3452JPWWFhfbipH6/X0hBeWzCIbEHJ2Eqcs88jMO3F0eFVaYEGL/TaBycL1uDMkUQ/V9XgLna+YjevH/PYPj7WPrr4/K8PoFAXLJ+v59oxT19I1cUWu/Pi53GKcqoACI9nHee7pZT2rm2LxJ40YtepMcee6zw2cMPP6yPf/zjkqTbb79dd9xxh+677z49/PDDuv3221WpVPSDP/iDarVaOnPmjE6cOHGB09i/xUkCv1lQDyJFyxL95YmJ3YeErK6uamdnJ50WTGrO6wEQMlJ9ztge6WbveaPRKDzUEmvvgT78UJgCa48y4ITdVqtVOE9wOBwm6Mr9/IVFJqLubkGOhq7QxtHaP89ZTEkJ+kILF1jPrnjgLQbPImrz4J6klCKkHyA2kXcU5sbGRiHgB82jwvSnHaOooBs8Rf2BFxjl4gGuXFzhufLx2M0z0S4oJrC8vJwE+/jx41peXpa0+7jykydPpt/xQNJLqQRoHpSJUdgcInBG9Ovx7aWRoA+HxYeTRuvsuwLX1tYKfZNnXlxcLESjHcJimbzBuO66LC8va2NjI1XFuZX3R2rjvnCMee60YebC/KLv7p+NQw25FiF5vIa/CAjoSBrB8WiZKc7KuXiuDIH/1F94TAZ0NxwOU5rVlVKlUklnOtJ/t9tNZz2SeeGIt7ifIGaI6CcqtIgkx8VgvhvtogODTweUudAHkuaaa3o/CwDLy6JT/VWr1f5/e1ceG1d1vb+xx9tstsf2JHHipAkkAbEkLYqgJSWKQ6JCCKUUWlW0ahESIm2JWETVtBWUtKz9CSH6RxRIaatCq0KgaSFIpSEkpjQtS4EkiCUkzeLgJTgTexzb8TLv94d1rr85vu/NjPfYc6TRzLzl3vvuu/c76z0X1dXVhlNefPHF6Ovrw4wZM/CrX/3KlOvm4gJSOaQAB7fHFrHG6M9iJRu/uNyqqirccsstKaIxE5fBiU3Yws5BLXJPpmS7Jy8vz8QuaP1Wi8SZkuamNgCxidwAUFZWhuuuuy5lAjJz4Emq35/2WrB0oj8cpq1Du+fNm2fqKy0txfe+9z0DBBwqzJLDGQkCFRUVRsxvbm42m5JOmzYNjY2N5rrR2JDURjyZCgsLUV5ejkgkgqqqKsyYMQPl5eWoqqpCeXk5AoEAwuEwZs6ciUgkYjbVbGpqQlNTE/bs2YN4PI67774b69atS+E64kEIBAIIBAKGC4j0INFnwtX8fj9mzZpldu49fPiw4USRSMQMBuEqwsEFkCS/IQDcfffdePDBB1MGIocih8NhBAIBBINBVFVVmT0LOf49FAqZelinlb7TJKI6A4vUDfSnX5Mkp7LZJu/Lx1KWfNjdxsflWSSEl891d3ebHZekn1kykzZ97Wtfw7PPPmu8LpKvUTixiPmdnZ1m3b9ITuJ+5fwNup+Ki4sRiURQVlaGefPmYdq0aQiHw+jp6UFraysSiQQaGhqMXWb16tV44okn0NbWhtbWVhw+fBgtLS2Ix+NoaWlBZ2enUQ1tqsRIk5sRckggUFtbi61bt+Lmm2/G1q1bsWLFCnP8qaeewurVq/Hee+8hHA6PiSogZDNG6ahBIS1Kd3V1md18eWDy9TKQOLZA++sjkYipR67r7e1FPB437iUAKfED3A6fz5eym5HYGJLJpNl/0HEcBINBs+tyNBpFWVmZsTuIm1H2LGBvg/RTJhKBPs99pqUitiPwZJX6mCOLGC6/2VWqdWvpS3GtyrUizXEotewWLEk/HMcxxl7pUwFFARcxGgpXl/0hpC5gYHFUMBg013DQlXByG+jxWGQXJT/jaBgFs6G0IHDHHXfgjTfeQDwex2WXXYZbb70VN998M2677TZs2bIF1dXVePTRRwEAy5Ytw65du7By5UqUlJTg/vvvH/UH0KKUtkxrazNPWLmX48A5iQf72lkfFY7Cur2I3npNuQwmGZR8XEjax4YpkS4EBOR6AZ7S0lIEg0EEg0FUVFQgFAoZLwNzNW3DsPUff3P73AanmyGRPRfpOBtfz2VyHAUwkANA3omAL3tTWLqJRCJmrwWJ7dChwclkfwYiNiTKs2odXyatpJmX8qTtLM7b7B7cHzqIzdbv40FpQeCRRx6xHv/9738/6JjP58M999wz5MaMBDK6gYB+SbzLsLgAxWDEewFyPkAdoSZBQzL52LIvXEA4jWSfkWcT3V9AQkRgARke/HJPUVERgsEgwuEwZs+ejUgkYvbNExBi0ZbzDmgQSCcJyETgCW57V7osIDW/g9ax2T6jDWo2iYUnEAOEuHVZb8/Pz0d5ebl5Rz09PUgkEujs7ER7e7tJId/e3m7WYLAxWD46M5QYdEWVEECXdvAz8xjk4zY36XjaAZjO+IhBYPAglpV45eXlg6zMMuDkJfT29uLYsWMGCFjcA1ITcTC6SzRaSUkJysrKUkCFV5dxPSI5yARlV5QMoL6+gUzERUVFiEQiZjnrokWLEAwGEQqFEA6HjWjLSUxELGaDIHM5m64rz8SDmkmOa9FfzgEw3Fkmswx2m19fx+LbNk7VhjttUddtFi8Dr/UQUC4pKUEkEkF5eTna2trQ1taGeDxuJncoFDLSFu8aJbkjgNRMTOIFkj0IZCzovpRrWRJk96CQ7dnGkiYlCMikZ3TXagEwMIDb29tTMsgKx9Zingxk4bosjvKgZg7OHEtIBoPotyJtyAQVnT4QCCAajZrsRJWVlQYQxJiofd46wEi+5Vn5nG2yaQ6v+1V7GOQ6rp9VKB3MY6tbL86xkfamsE1BOK2AoACCqHAaDEUKY2s9G39FAuBwYq3Ds0vWDZzkPpZ2eBzy9eNJZzwI8IuRl6x9yewq0kAg6oAMHAYBHmg2cZtTTklbWH+VwSZAIYYjEUFZ9xddPhwOIxqNIhgMIhKJIBqNGv03Go0a7s/cnj96krIlnier9JmOl9Bk4/ocaCTEbdArLOXjZhOx6c9a3+b26GdkYGMVSPqawZnXYEgGqra2NrOgSOIHRAqQ+nl9h8/nS+HerN/rZ7CpAhwpqMfweNAZDwJMumNZBeCXpgeVWN05lkDESBYHZSFJcXGxmQjivuIBKS9fNrUU0Y+TlojLKy8vDzNmzEAoFEIwGMS0adNQXl5uxH6xSPv9foTDYfNbrNmas7LBkw2XUpfm4PybJ4v+rbm37Vp+Byyd6InjJqEx19TcUvpWoiAlHZtejyAZhrXtgJOQJJP9i64EhOPxOFpbW02EqACiJBERqUAbImWMyfVsC5JjIvFJXWL/0eN1PGnSgIC20opK4CYVsIGPV6KJi0i4QiAQMK4iFsF5oIm1WDgxG370MalHdOhgMIhZs2YhGAwiEAigoqICkUgERUVFJupPJhIHPjEISHv1RJWJL2RTAfRkdivPdtyNtA1ASEtgHN6tuadWTfgen89nvCbahsCgJyHXclzUM5mg8m4AmJBx0d+TyaRZki3ji/M5CNhrrq6fgd3UvPaEx+p4A8EZDQKaozOnZ0S2eQhk4MnAOH36NICBbb2B/mAY4QISOsqr9eTl6Zh4MQwKR2T9FOgffCUlJSgtLUV5eTlqampM5F0kEkkBG84nIBNfQEC7/vRgYpWGj8m3G8fX/70mve06VgG0yCu/Nee3SWo2VYRFbNH3dd0seWh7hDbiccyH3+9Ha2urGSucPViDAHN9bqvW+RkAOEaAx6sYlMeLzmgQcCMtCdg4jZzTq8k4H4Bw5NOnTyORSJiBJZxcXmRbW1uKyC4DVCcgLSkpMS6+qqoqhMNh4+cXKz8PNB3qHAqFUhYeSbn62YVYF9eBT/wtv3li6N+2/7aJz5wScHcXsr2Ff+v6eRLyRJH+FZceS2dsHxFublNZRLpiwJby2tracPLkyRQPDMdgSBtEIuGyuW2sCsgYkzayGsOgMNY0aUBAi1Us8vMA4gGpr0sm+9NSy8DhiDTHcYybh5ODsLGvt7cXHR0dKSvcOEmlhBuHw2Gzz71wf14+zHsf8sRhqUBzOdsAkskmaoE2ktk4bTppwE0yYHWILfHSD1oaYRVDjjEQuFncuW1cNkt/UnZxcfGgdOaSrAUYWHbOqwhLS0uRTCbNik/J/lxUVJQSk8EiP09obXhmadQtSCinDowi6Y5ne4EmOScGIOESMrA5xz8wEEYsA0gbt3y+fpuC+PQrKipSACEajRoDk2QbBpDCTQV8ZNLIAJa65bfNii7n+NvmnkunDuiyNOl72FiZTkrRkgHba6RPbWXYAFxI+l+MiLZruM/YK8JtFv+/vF/JNCQqmdTV19dnNnLh+7XtSas8Y01e9U5KEODJLhZZdoVxxJfj9GcbFndRd3c3KisrTRwAkOofl//iWuzo6EAkEknZVCIcDqO0tBRz5szB9OnTzX8RW/1+v4kFEHFTJoWcZ/FaBhi7+wQQbP5mHojMeRjU3Di51k81GLAIzO44vs5m2OMJws+ir+cwaVblGAylHTZpRiac/JZ2ak6tw5HlWpH+AoEAQqEQ8vPzTWZhkdgE6GRTmvLy8pS05tK+ZDJpIgwlSMhxHJMngvt0NMAh0zLPaBDwEqO0mM9cRUQ4YODly+RjHzcb/zhVOK+Wy8vLSzEEyorFaDSK6upqE+wjAT9Sl8QY8IYWWpxmPVfaKu3Xz6p/2/om3aBgju5mtWbOrXV7qUOrXrZ34FYuL8rSmYPT2TKkfv54tZ9tEBqUZC8HkeDEdcjuRrmWGYgOLWe7lFu7xhMAgDMcBLzIZoHmF8AvkWPaWSxlrsRZekTCkBfr8/lMbsBoNGqWLctSZZnwDAIc9MMcTfv+9QS3vVwbCDDQ6WsyIZvuz7+1y5BtE/zh/nezgOs6dFkC1Pxs2j6g+0N/uD91mxkEtO1AtqYXg7G2ZThOauShtgtwgJAbCLoB7ljRpAYB7aPVYqUMTvHJy2CTa9kLoNGfg4AqKirMxK+oqEA4HDYxBsXFxWaREYMNL/IBUvV2jogTDwNzWC/jmXxrg6E2vGVDWu9ngyRzUK5H+pbTi9nazM8tpH+7SRQ224YNALgPBEy4XDkn74e9DrwXZUtLy6BgLMdxBuUt4E1FeH3IRFs9KDQlQEB0dda9GKHD4bBJQwXAxAyw3inE/8vKyhCNRjF37tyUpB4ywSUYiLe2Eh2VF/HIRGLuq3Vdfi6359X/bZKPnPMahMMdoFoCkMHvpqLIu5K6NeBoG4IAuDZ46vrlnO3ZtETAwMt+fGEQktZdJrQACcd/AAMLhgS8BQTYPajbMd40aUEAQIpNQKsD7N9lqy9zUUFzGRjyYv3+/h1/y8vLUVlZacJ8heuLmC9BP6wG6KW0Uj5/a9IgZBtIbseFtCidCbmpA9oGkO6TjtyuZQlM95FWR/Rz2spldYCvY9BlKYcNwpIsVkR8vpbFfBlrMuE5WQq3RSQSGVv8bGNNkxYEtDqgRbHTp0+blxsOh9Ha2moy+UgwCMeRSwyB4zhm+XBFRYVJ6MGiv3D+QCCQstKP/f/aQm8zbslxthd4qQC2PvD670Z6MOqJpoN22Lqv/+sybPq7TAS+j1UgDj7S7XFTB9gGwO1gQ6bW0bkslkLkW3Z8ljEh75WzRAkAMAhIsJDNljFakkA2ZU9qEGCxlEUxoF/kl5coQSCC7LJAqL293bjvREKQlGli9ZdQYln3L269goICs04dGHDRsSrAbdVtl28dved2fTquP1JchvVo1v21AdA2ubT9QD+DlM/vTiQ4DkN2AxSpy03q4cnntqAMSI1h4MAgAAbc+/r6jPQoqiYnhuEFRAwKui0TgSYtCAiJTYB9zj6fLyXJh2xfHQgE0NrammLllfTefr/f2ACqqqpQUVGRsl2YZBdiVyOH/Ao4eFn+NbnpjZnq914DzUtKsHFXJs2V+T/76PUkc3teXb7NCMg6vm3hlA5vlnJ1PIF2ber2sRTB5Un98r77+vpSFpPxcmFuN68Z0P09mvaAbMqe9CDARhlewSX6vqQQKywsRDgcxsmTJ80qMsdx0N7eDp/Ph1AohFgshqqqKlRWVqKioiIlm5DeTEQGqhyXKEQ9sdx04WxJ2wQ0OLiJ4bbJ6Ca2yzk9AeVZdaAOSw3A4P0IuFxuI9+vyxJJSqtJ3CYmHTjEMSHaZiC/tW2In51ToEmeQiCV2QgoOI6TklzUTaUab6lg0oOAvBA20PDablnfz8km5L6Ojg709fUhEolg7ty5qKmpQWlpqUnnzUtKtQjJBkAvMdiLMtHr3K5xAwLmiNxHcn4kiEFE+ke7CHXMgDaa8TNo1U6CtMTgCsBIb+LW5brc2sh1ayOrrS/c+imZTJps1fJfA9hEpiFtSPrQQw/h1VdfRUFBAWbPno0HHngAkUgEALBp0yZs2bIFeXl5+NnPfoYvf/nLo/sEaYittXpNN3ND3lVG1Iaenh6EQiFEo1FUVlYaAyCL/poDyQSTya+z4KQjN4NXNmUA7h4DXQ//zgQMdDv0bwZDNsKJ8c+N++oPPwerF/I+gYFoT1t5w+lvttzrsuS/SHZiuBTmor1RXlGSE4WGtCHppZdeihdffBEvvPACPve5z2HTpk0AgE8++QTbtm3Dtm3bsHnzZtx7770pPtTxINbXtLsGGHj5Ehgi6oEMprKyMiP+iwdAtveSD68BEKMg2wXSAYHWP/XEt/33Ou5Vrv7vZmyz1ZXJxPIqy/Zu5OMWWacnks1WoFWLdCHKuk22PmNDpK3dDALCODhPJUcMjrb+P1xKCwJLlixBaWlpyrGlS5cakWvx4sVm16FXXnkFq1evRmFhIWpqajBnzhzs2bNnFJqdOQkAyIYUoqMBMDo8B/NIzrlkMolYLIZzzjkHCxYsMJKAAIAO7xXxn0HAayCNFNm4sm1ya+u6bfJnMtkzATKuS/+2XQekrvVgI5v2DgADeQPF6yMSgZTL1nm3dns9N9t0+P2xeC87UDmOYwKJeGky7yM5nqsHM6Fh2wSee+45XHHFFQD6NyRdtGiROTdt2jQ0NTUNt4ohkbw4Dl9ldw2LppL+W7aPkkk+a9YsVFZWorS01EgBGgAAewbfbMV3brOXuO12n9cgsxn8+LcWodNxrnSqhK0P3PR8Jg7lFVCQ49q2oNtvMzra+sDtGWwAausXVkWAVLenVlvOFHVgWCCwceNG5Ofn4+qrrx5WI2RD0jfffHNY5dhIXqokB+FEkbwwRLjHsmXL4DgOpk+fjh/+8Icp8QOak+p6vP4Pl/Lz8xEOh7O+T1vfbUDjdY8mPXk4H7/cy8k+3cp0+2/zGnC9Xh6MwsJCzJ0713qfGzjb2qjPa7sEMLAdulwTi8VSGE1PTw+qq6vx0ksveS6emgg0ZBB4/vnnsXPnTvzud78znaY3JG1qaspqQ9IlS5YAGNkJlJ/fv5lILBbD3LlzEYvFUF1djRkzZmDGjBmYPn06urq6cPz4cbS0tODo0aMoLS3FLbfcgrq6OpSVlaUsBmIwkbaylVpoOM9gm6yhUChlg1JNtsmjAYCzF2kLOl/rNWAZAGWfP75fdGPZ/09zQi+uLeIzx3VInZw/QRZ9ia1Frj3nnHPw8ccfp4RpS3tlHHCmYB3pKMe4LpnYnGsymUyivLzcXJdIJPDRRx+hubkZx48fR1NTE5qbm7FhwwasWrXK5J0YS8pEGhIaEgjU1dVh8+bNeOqpp0x2XgCora3FnXfeiRtvvBFNTU04dOgQLrzwwqFUMWIkg0a7BXlwSOhnR0eHWQko4cS8vx/vMcB6KJC6cs9GekLaKFt1gCeRvlerCCzm6vbYrPHZktTHi6S02M9GMltoMZ/jdvEyb5HYeGm3lC3fojpw8hMpT/pBGx5FFeFz2ggpko/P50NXV5dJOpNIJFLev7gLHccxMSrpVLbxpCFtSPr444+ju7sbN954IwBg0aJF2LBhA+bPn48rrrgCV155JfLz83H33Xdn5SMfaRFaOp7FfTYasZgv3KSsrAylpaWGcwjX14t+3JB2qHYAr+NuNgab+GrT+TMpQ/8eKmnDn5SrP8WHlw4AABlhSURBVHyc6xdgZpIJz++LIzJl8uq+0PXZ7BRiZLSpCTadXsaAxJYAMOsC5D42DGajCgxl/Lu9s2xAZ0gbkl5//fWu169duxZr167NqPKxInkZ8uG002IvEJJ0YPn5+QgGg1YAYPKaVDbKxuiXblC4GR9t9olMBthIg7AmNu5p/742tEnmXw68ApAC4gICIt77fANp2YEBUNaeHHlWOa+PuRkuNUjw5Jbr9WK18TIMZlPnlIgYFBDg3ALyEnt7e826AYkEFJcPi/8iZrqFp44kDUeacDN6yTkbQNiu8+IwQyGedHo1pHBjOcbbu7Nez1xbpAY5J6qBnvAcKuzVdq7fJgForwGDEasN4omSMTbR3YPAJAcBFt1lwrOLUF4kZwEWw5H2ALAOa+MqUo9bOzKRANzE+nTPl06i0G3g36zCZGK3GAoxANjK5omtz9nsLj5falIRARUxIGoA0PYQt3bxMTc1Qq7lyEVWHTjGwQYmE5EmNQgIMQjIqi6WDCRJiHB7TvSpjVl6MGWqDrhNWC9x3u07k2ttRkNbnTYwGA2ygRBPKPb/6+u574W0ni3Xa68Nn/MCAv6tDYJyjm0cOnxZPuwiZBAYbVVrODRlQIClgN7eXnR2dqZEDspGFRoEmDO4Rf/xNSNN6SSBdNLAUAaflzowXLJFDwKpAUsslrMawOsxWMwWySAvLw/BYHCQ2sDPpZ/T7Zltz899zcDFIMBAoIF4okoEkx4EtPimVQIhXqfOL5u5jz4HDLZA2wadl4HJdtxtsLqJ0W7l2urhdtraZ5Me3MrQv/V/28BnY5yWCHT7+BlZ9Gdw5nqE+2t7gyabYZLbzG2xTWReyailFQ53duuDsaBs6p1QIJDJAMy2PHlRWhKwpcGyGZBsRiYdD6CDX9JNznTHM73HTZ2wvXzbZLQBl1cZtnP6Ots6eS/VxGuRjlwj7xFIDdHWxCBgUyG4LbYVjW7qCp9jZsKrSBkEbKrEpIwYnOgkL1fcRWwP4JTinPVFXjzHrnOWYC3CAnbdVP/PFtS8RPtMRX2viT0czqQnJ4vwGlCBwRumaEkhnUrD99l+uz2vm/TEbXJrF7sYdXuZ27NxUo5L+nHek4L7aSLSpAUBJkZ/duPwqjU2TLmJpEKZvkw3kdftWtu3rT6vyTLWZGu37beI3zYgTVe+5tTpAECOudXhdr8NSPR4cPuwqqlXMXrZJYZLmT6jF01aEHDTMzmMmJd+enGHbCay28TPRM8fio4/VMpWitD3ufWJGwiw3m6zA9gmu61ebcsYqnTjptLod84rG3WdQraIVFtY9ESlSQsCQm5oLZtI8EIXm1ibDTfX1wODN7+QazIpY7Qok/LdBq8XUEn/6WAgzQkzkQZGW3z2spFIG0VykeMsNcqzymSXccTj6kyhSQ0CguL8ElmnY0OhXO+G3l6Lg4RskkAmorzb70zv9WrPUM6lK9ON2+tJw0YzrtPWL5rDu6kBfJzvtYns6cgGVBoI5Hk0h2dbANuXBABkTOUkgXEm20BjNOfoLn7hbkYsfcyrLj42HCCQ325ludFwQMKLC6eTdAR45TdPXL7WVr42Otr6TYOFvj/TSWd7x/peXlzG5et7bTYBW9jxRKX07O0MJTduo2O+9dJiveornZ6u69T3TOSXP1Rys2doN5789vkGAq9GWtUZCU+HVzncXtbztV3CBgLDbd9Y0aSVBITrAwMDVIyB8mL7+vqMPSAvLw+FhYUpVl3b2gEp2030t6UZk3ukLfLtxk1t4MW/00klmVA6fdxWtk0st4nuXqGy2iDoVr+ux60s23Jg3SavftJqhC7bbbIXFRWZ3+wW5DR1An48FiciTXgQGArXYBuAlMFcXr9QntRu5bm9SC/ulq2or+/Vkz9TY5lNb86kjnTkBkDpOKqXapGu/kye2c1+4Fae23Ev8Z3HgOP056UUe4AwF5EyRboEYMbdaBs6h0MTHgSGQsyl5L9wft5TwG2POM2tBDD4GludXoavbGkkxUgbAA21fRNNvJW+1guQgOyBQF+jxxDXxyoCewQ0COg2TUSatDYBJn7pogJ0dHQYVYANhKzbugGCbRDZLNS6binTVvZI00gaEIdz/VjRSLeLgV/bO/x+f0qCmlOnThkVgGMFRHKYyKoAMEklAWAwh2AVQfINcl4BEfO0Ti/32izRWi/m4/q3bhv/HqqomM09biqI1p+zLZfvGYqUMBz7xlDrTEfaJgEMXkPCHiaWBHQE6kSTnGw0aUEASHVXycvQexGyLpdMJlOSVzKxuGkziunfQrZJbhPJvQaL16T0smPYrtHXp1Nt0tU5Uhx4uOXoPh3q5NNuP85sJOXLuOK9LfVY0vsTTFQJCpgC6gB3vtgCOjo6zEuUnYncDIRuYr6mTNSB0VYB0lGm9oChAsB4PNtQQCwdcRiwjAm9yYjjOGb86JBhLQlMdGkgLQisX78eX/ziF3HVVVcNOvfkk09i4cKFOHHiBID+B/7lL3+JlStXYs2aNXj//fdHvsVZkG0yCxDIMTYW6vvc1AGb1T6bttjqGA3Sxkr9nW5C2z5udYzEc7jVmQ1ojWR/sluY8wvKWJEJz+PkTEgnpmlIG5ICQENDA15//XVUV1ebY3V1dTh06BBefvll/OIXv8DPf/7zEW1stmSbxCIByHEdDmq7X5dh+8/Hs23fcMjLWJlJPdl6NfR5Xf9w+8SNuJ50EplbW73K9qrP7XqRGLS0CcCkSA+FQiguLjZxKMXFxSguLrbW5fWs2fSh9miko7Q2gSVLlqC+vn7Q8QceeAB33XUXvv/975tjr7zyCq655hr4fD4sXrwYbW1taG5uRiwWy7T9I0rygvRkFmMOpxcTg6FsOyb3iLFHfMPZdrAbaYMik1vZbqqK20T2skrrunWu/0zVHg6p1ee9yvF6NpYAvLL1uj2fGHh1ghEdz88TjBOByHnZlIb3OQBgJEcJDDp16lTKePL7/Vi6dCkWLFiAuro6vPTSS/jtb3+LFStW4Oyzz0YoFMJtt91mgpx6enrSjid5Jmkb73rFi5Xy8vLMc8q4TgciQzIMbt++3ezYy9TU1ITp06eb/9OnT0dTU9O4gYDNWMcqgCz60G7C0dbnMgESL307E+OXFxfz+VKz9er/Xm0bCkdiGg53divLS4LLpHybPcftP9sLZIJxEppTp07BcRwTK7B37150d3fjoosuwpw5cxCLxVBQUIBIJIJEIoHe3l6zH6ZMdB6zeh2GTnsu14hBm9UXDlTyoqxBoLOzE5s2bcKTTz6Z7a2uNJobktrI5/OZ3YVERON9+vLz81FYWIjZs2dbxUu3yZLOUJaN9GC7t6ioKOP7h0JSp9euUXoRkN6QVGg4AJANcT15eXkp2+K5Xafbls7eI1KJdicL4xApoKenB52dnUgm+7cuDwQCqK2txfLly+Hz+cw4cxwHO3bsMAyIF67Z1C2mTICPy8kETLMGgSNHjqC+vh5f/epXAQCNjY249tpr8eyzzw7akLSxsXHYG5KOhOtIc0Wfz4fzzz8fNTU1qKmpwXnnnYdIJIJAIIBIJILS0lJccMEFOHToUAoS21KN8bdeNGOLOXAzyOlj+rmLiopMPHqmkoDXOZZGdBvdcvjpe/1+vxE99Tk9mbJ5j9mqXHJ9UVERurq6Us5pbs3fOoScua989/T0mB2QOjo60NbWZjh4PB5HPB7HwYMH0dDQgGPHjuGNN95Afn4+amtr8cwzz+Df//436urqsGPHDmzcuBGhUAitra1Yv349Dhw4gJaWFgCphsfCwkJTt/yWfi4sLITf70cikUhRUeR5RCqQftHvx0ZZg8DChQuxe/du87+2thZbtmxBNBpFbW0tnnrqKaxevRrvvfcewuHwuKkC6ci27FMmrnQW5x4EvCdHpqTBKNsJwqTRX75tE9GrHXwsk7akA2nNiWxA59YmmyEsncHSxslt5XAb0nF/t2MMGrxWgHMIJJNJfPbZZ2hvb8dvfvMb9Pb2YuHChThy5AgSiQQ+++wzXHLJJWhra0NLSwsKCwtTyu7u7jb1curyoqIiOI6Drq4uI1H09fWl2D6kfpFqM1m3MKQNSd32Ily2bBl27dqFlStXoqSkBPfff3+64ked3CYCvzgx9GgbAksBmQ7kTNs0XAAQYj3Qps9m26ZM6uPf6SZnOpXIJprr58jEa2HrA9tE9/L42Mp0AwNhHrwORY7l5eWhtbUVnZ2d+M9//oPq6mrU1NRg//79aGhoQEtLCy644AIUFRXB5+uPQeA1LBxgpEOXpa6CggLXZe/cbq9EOUJD2pCUaceOHSmNuOeee9IVOe7kOI7ZM76rqwunTp0ym1awJMAvYKT12ZECAPnWomw60usjRuIZbXppNkAkxOK4rWwbyfPrBWG2+23t0uBpUx2AAYObHBdPk2xHLsuMT548iY6ODrOpzccff4y6ujq0t7ejt7cXjY2NaGxshM/nGySR8lZq4jnw+Xzo6OgwYCBt4RyZsoluIpEw7S0uLjZRjW40qcOGvaijowOdnZ3o6uoyiz8k1wAwEPjBA2Y4k8StjOGCAYdGc5npyrWBgK19NnJTB4ai6mjxnCcgA1o2IKCfke/3kpx0O9xI7zUgacXYBXnWWWchFovhkUcewYEDB7B3717ccMMNxoUXj8fxwQcfoLW1FYsWLcIzzzyDvr4+fOc738Ef//hHFBQU4Atf+AJ2796Nc889F8uWLUNBQQH++c9/Yt++fbj88stRX1+PRCKBSCSC+vp6FBYWYtGiRfjoo49QVVWFJUuWoLGxEW+//Tb+9a9/uT7PlAUBXj8gIpYeeEB2ATSa+7FkwaKaV5ledWXrbdDPwWRTcYYCRjbd3+2/Wxv5w8Y6ree62R/4w/kipX3c7zYVw01qkWOcl5JBgvNRyDgSTh0IBFBYWIhoNIr6+nr09vYiEomgoqICBQUF2LlzJ2KxGGbNmoWLL74YO3bsQF9fHy699FK89957AICzzjoL+/btQ1VVFebOnYvu7m4sXLgQJSUlOP/885Gfn4+2tjace+65ePvtt5GXl2eM3MFgELFYDJFIBJ9++ikKCwtd3+GUAQE9gLq7u1NWf3HcALvICgoKjPtQBqKe2ELMgeXD99i4rm1gpwMJfb/tAwxevMLnZOdlG9nsCunEer3ZiL5HTzr+tkVt6snNoMLPpydoZ2eneV/izeF3JmXrd8qRf/Isog4yo+CNayS7sN/vR1dXlxHX/X6/kQ7+8Ic/4NixYzhx4gReeOEFLFmyBLNnz8bTTz+Nq6++GhdddBHOPvtszJgxA729vZg/fz6++c1vIh6Po6urC36/HydPnsQHH3yAPXv2YPny5bj22mtx+PBh1NfXo7i4GNdddx26u7vR3t6OefPm4ZJLLsGHH36IrVu3YtWqVQiFQohEIu7vzvPNTmJihNcGQuZGtogrt99jTTaDDwOB3+83biRxc8l3unL5Ox1lC2RudWoA4HJs230xcDNHFr+925oQ23N6Gc9s9gMZJ5xXQNxzXV1d+PTTT3Hq1CksXrwYixcvxowZM3Dq1Cm0t7ejvb0d8XgcZWVlqKmpQXd3N6qqqhCNRtHc3IxIJII5c+bgwgsvRElJCZLJJDo7O3HgwAF0dnYiHA6bZ2lqasK9996LWCyGSy65BF1dXUgmk0gkEjh48CBisRhisRjC4bBr309ZEAAwCATY4ivnMwm7BNyt3KNJevAyAHA8g4CA/M4kffpwgM4NFDIlN2Dj82yYk29RB3hS2qSzTOrXfWuTTBgI9FgpLCxEQUEBKisrUV5ejkAgYMaVBKIFg0GcPn0aBw8eRCAQQFVVFZLJJN5//318+umnmD59ullzUFpainPOOQeBQACtra0GzHt7e/H++++bmALH6XchFhQUYPbs2SgrK0NJSYlrUBcwhdQBJtYfRS3Q68HlvOSSk/uAwQFINp1ypL0JbmXaJgxbj/WxbDi0DQgysY9keq1XnW66O08+/ogkIMZd+c27GLs9mz6eyccmCXD6+lgshlAohLKyMjQ3N6O4uNioDqFQCEuXLkUgEEB9fT3efPNNhEIhTJs2DX6/H1u2bMGCBQuwZs0a+Hw+BAIB1NTUYOHCheju7sb+/ftRWlpq9Pxjx47h+PHjiEaj8Pv9aG1tRSgUwooVK8x1XsA/JUEAgBEdxUUoHgKxCfCLtnEFLkdbwjVYjAYg6HZIffqbJ1EmEoCtXNvzepHuh0zJdr3erUjbWgCYicflCDAUFBSkSALaZuHF9W3XaeDhJDVslDx8+DCOHz+Ol19+Gfv378d///tfRKNRdHR0YN++fejp6cFHH32EeDyOAwcOYMmSJaiqqsKbb76Jo0ePor29Hffccw8OHToEx3Hw9ttvm3uPHDmC5cuX4/Dhw2hsbERHRwf+9re/IRqNory8HB9++CEqKirw+c9/Hrt378Ynn3yC//3vf679PmVBABhIMsKGH50Vxmac0pxf/09ndeZzwyUbx7RNwmwBKVu7gK7HdtytPC+AlXt9voG9C9gwCwy8J5Z4+DiXocv2Ii+Q0JIIB+4kk0m0tLSgs7MT77zzDj777DMkEgkA/UbG5uZm5OXlIZFIoL29HW1tbTh48CCam5uNOH/ixAm89dZbSCQSOHbsGIB+t3ZzczPa2trw7rvvorW1Fe3t7eju7kZDQwPi8TiKi4vR2NiI1tZW9PX1mQhFHU7NNOVBwMsmYNtYMtvJO5aSAGAXn+V4tu3JFACY0+r7hvvs2uth8/3LOxOgkPpt9hybbUE/i23iu53XNgGfrz/45+TJk+js7MSePXuMunDy5EnE4/GUdkg5hw4dMjYcv9+P7u5uk5Sno6MDx44dQ1dXF4LBIIqLi7F3717TJ47jmMQ+Ism2t7ejoaEBJSUlKVvtWfvYyRbqc5SjHE0qmtLegRzlKEc5EMhRjqY85UAgRzma4pQDgRzlaIpTDgRylKMpTjkQyFGOpjiNe5xAXV0d7rvvPiSTSVx//fW4+eabx7wNDQ0N+NGPfoSWlhb4fD584xvfwHe/+138+te/xjPPPINoNAqgP8vSsmXLxqRNtbW1CAaDJt7/+eefx8mTJ3H77bfj2LFjmDlzJh599FGUlpaOelsOHjyI22+/3fw/evQo1q1bh0QiMab9s379euzcuRMVFRV48cUXAcC1TxzHwX333Yddu3ahuLgYDz74IM4777xRb89DDz2EV1991cTuP/DAA2a9/5VXXom5c+cCABYtWoQNGzaMaHuGTM44Um9vr7NixQrnyJEjzunTp501a9Y4+/fvH/N2NDU1Ofv27XMcx3ESiYSzatUqZ//+/c5jjz3mbN68eczb4ziOs3z5cqelpSXl2EMPPeRs2rTJcRzH2bRpk/Pwww+Pebt6e3udL33pS059ff2Y988bb7zh7Nu3z1m9erU55tYnO3fudG666SYnmUw677zzjnPdddeNSXtee+01p6enx3Ecx3n44YdNe44ePZpy3USicVUH9uzZgzlz5qCmpgaFhYVYvXo1XnnllTFvRywWM1wiFAph3rx5aGpqGvN2pCPZ3AUArrnmGmzfvn3M27B7927U1NRg5syZY173kiVLBkk+bn3ithHOaLdn6dKlZqn24sWLU7JvT1QaVxDQm5VMmzZt3CdffX09PvjgAyxatAgA8PTTT2PNmjVYv349Wltbx7QtN910E6699lr8+c9/BgC0tLSY7M1VVVUmXfVY0rZt21L2pRzP/gHc+8RtI5yxpOeeew6XXXaZ+V9fX49rrrkG3/72t/HWW2+NaVu8KGcYJDp16hTWrVuHn/zkJwiFQvjWt76Ff/zjH/jrX/+KWCyGBx98cMza8qc//Ql/+ctf8MQTT+Dpp58etDFLtkk7RoK6u7uxY8cOfOUrXwGAce0fG41Hn7jRxo0bkZ+fj6uvvhpAv7T56quvYuvWrfjxj3+MO++8E+3t7ePcyn4aVxDQm5U0NTVltFnJaFBPTw/WrVuHNWvWYNWqVQCAyspKk4Tj+uuvx969e8esPdIPFRUVWLlyJfbs2YOKigoj0jY3NxuD3FhRXV0dzjvvPFRWVgIY3/4RcuuToW6EMxL0/PPPY+fOnfi///s/A0qFhYUoLy8HAJx//vmYPXu25/LesaRxBQHZ5efo0aPo7u7Gtm3bUFtbO+btcBwHP/3pTzFv3jzceOON5jjrkNu3b8f8+fPHpD0dHR2GS3R0dOD111/H/PnzUVtbi61btwIAtm7dihUrVoxJe4S2bduG1atXm//j1T9Mbn0ixx3HwbvvvjtmG+HU1dVh8+bN2LhxY8qWaCdOnDBL1I8ePYpDhw6hpqZm1NuTCY37KsJdu3bh/vvvR19fH77+9a9j7dq1Y96Gt956CzfccAMWLFhglqrecccdePHFF/Hhhx8CAGbOnIkNGzaMyUA6evQofvCDHwDoX8581VVXYe3atYjH47jtttvQ0NCA6upqPProoygrKxv19gD9YLR8+XJs377d5Ku76667xrR/eCOciooK3Hrrrbj88sutfeI4DjZs2IDXXnvNbIRzwQUXjHp7Hn/8cXR3d5v3Iq7Av//973jsscfMbsK33nrruDA8G407COQoRzkaX8oZBnOUoylOORDIUY6mOOVAIEc5muKUA4Ec5WiKUw4EcpSjKU45EMhRjqY45UAgRzma4pQDgRzlaIrT/wOKyj95dprhGAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rOpluC06TsTE"
      },
      "source": [
        "example = np.array(cv_img)/255\n",
        "example = example.reshape(-1, img_size, img_size, 1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r_eGRLzwY-sn"
      },
      "source": [
        "predictions = model.predict_classes(example)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HSOEaaDRZFbG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7c8b7a31-e24f-4420-fbc7-ce421501b679"
      },
      "source": [
        "predictions"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0],\n",
              "       [0],\n",
              "       [0]], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rcSOg8_QAL-W"
      },
      "source": [
        "THUS THIS IMAGE HAS BEEN CORRECTLY CLASSIFIED\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-YPyIyRYAWTW"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}