material/deep_learning/unet_segementation.ipynb

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    "colab": {
      "name": "unet_segementation.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "accelerator": "GPU"
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  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "u4GHR2BMn_Mt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "4cbfb990-acf6-4953-f852-aa30483165ee"
      },
      "source": [
        "%tensorflow_version 1.x"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "TensorFlow 1.x selected.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HYzKnHXzN0lB",
        "colab_type": "text"
      },
      "source": [
        "# 폐 영역분할"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ROQ8VnQXGeU4",
        "colab_type": "text"
      },
      "source": [
        "다음의 2019 대한의료인공지능학회 Summer School에서 진행한 AI hands-on의 자료에서 코드르 가져와서 수정함.\n",
        "\n",
        "https://github.com/mi2rl/ai_handson/blob/master/KoSAIM_Summer_School_2019_Handson_03_Segmentation.ipynb\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bMHwQjK9OhLf",
        "colab_type": "text"
      },
      "source": [
        "## 폐 데이터 다운로드\n",
        "\n",
        "다음에서 다운받은 데이터\n",
        "\n",
        "https://www.kaggle.com/nikhilpandey360/lung-segmentation-from-chest-x-ray-dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EAKPT_j5GITc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 316
        },
        "outputId": "0f71526f-f014-4c1c-a221-c45cd7def94f"
      },
      "source": [
        "%%shell\n",
        "rm -rf Lung_Segmentation.zip\n",
        "wget https://github.com/dhrim/opensw_camp_2020/raw/master/material/deep_learning/Lung_Segmentation.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-08-20 23:55:33--  https://github.com/dhrim/opensw_camp_2020/raw/master/material/deep_learning/Lung_Segmentation.zip\n",
            "Resolving github.com (github.com)... 13.250.177.223\n",
            "Connecting to github.com (github.com)|13.250.177.223|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://raw.githubusercontent.com/dhrim/opensw_camp_2020/master/material/deep_learning/Lung_Segmentation.zip [following]\n",
            "--2020-08-20 23:55:34--  https://raw.githubusercontent.com/dhrim/opensw_camp_2020/master/material/deep_learning/Lung_Segmentation.zip\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 37648324 (36M) [application/zip]\n",
            "Saving to: ‘Lung_Segmentation.zip’\n",
            "\n",
            "Lung_Segmentation.z 100%[===================>]  35.90M  --.-KB/s    in 0.09s   \n",
            "\n",
            "2020-08-20 23:55:36 (379 MB/s) - ‘Lung_Segmentation.zip’ saved [37648324/37648324]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N8TLRtBfGsKj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "6486d517-03b2-4de5-cdb3-e1827330353f"
      },
      "source": [
        "%%shell\n",
        "rm -rf Lung_Segmentation\n",
        "unzip Lung_Segmentation.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  Lung_Segmentation.zip\n",
            "   creating: Lung_Segmentation/\n",
            "   creating: Lung_Segmentation/image/\n",
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            "  inflating: Lung_Segmentation/image/CHNCXR_0268_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0269_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0270_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0271_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0272_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0273_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0274_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0275_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0276_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0277_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0278_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0279_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0280_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0281_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0282_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0283_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0284_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0285_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0286_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0287_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0288_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0289_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0290_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0291_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0292_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0293_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0294_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0295_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0296_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0297_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0298_0.png  \n",
            " extracting: Lung_Segmentation/image/CHNCXR_0299_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0300_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0301_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0302_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0303_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0304_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0305_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0306_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0307_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0308_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0309_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0310_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0311_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0312_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0313_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0314_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0315_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0316_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0317_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0318_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0319_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0320_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0321_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0322_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0323_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0324_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0325_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0326_0.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0327_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0328_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0329_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0330_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0331_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0332_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0333_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0334_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0335_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0337_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0338_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0339_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0340_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0361_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0362_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0363_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0364_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0365_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0366_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0367_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0368_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0369_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0370_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0371_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0372_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0373_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0374_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0375_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0376_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0377_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0378_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0379_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0380_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0381_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0382_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0383_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0384_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0385_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0386_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0387_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0388_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0389_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0390_1.png  \n",
            " extracting: Lung_Segmentation/image/CHNCXR_0391_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0392_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0393_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0394_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0395_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0396_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0397_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0398_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0399_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0400_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0401_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0402_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0403_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0404_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0405_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0406_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0407_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0408_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0409_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0410_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0411_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0412_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0413_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0414_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0415_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0416_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0417_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0418_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0419_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0420_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0421_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0422_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0423_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0424_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0425_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0426_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0427_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0428_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0429_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0430_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0431_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0432_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0433_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0434_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0435_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0436_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0437_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0438_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0439_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0440_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0441_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0442_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0443_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0444_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0445_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0446_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0447_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0448_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0449_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0450_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0451_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0452_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0453_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0454_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0455_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0456_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0457_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0458_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0459_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0460_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0461_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0462_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0463_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0464_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0465_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0466_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0467_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0468_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0469_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0470_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0471_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0472_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0473_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0474_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0475_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0476_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0477_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0478_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0479_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0480_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0501_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0503_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0504_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0506_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0507_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0508_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0509_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0510_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0511_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0512_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0513_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0514_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0515_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0516_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0517_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0518_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0519_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0520_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0521_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0522_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0523_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0524_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0525_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0526_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0527_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0528_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0529_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0530_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0531_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0532_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0533_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0534_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0535_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0536_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0537_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0538_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0539_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0540_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0541_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0542_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0543_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0544_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0545_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0546_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0547_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0548_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0549_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0550_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0551_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0552_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0553_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0554_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0555_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0556_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0557_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0558_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0559_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0566_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0567_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0568_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0569_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0570_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0571_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0572_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0573_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0574_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0575_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0576_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0577_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0578_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0579_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0580_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0581_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0582_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0583_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0584_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0585_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0586_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0587_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0588_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0589_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0590_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0591_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0592_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0593_1.png  \n",
            "  inflating: Lung_Segmentation/image/CHNCXR_0594_1.png  \n",
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            "  inflating: Lung_Segmentation/label/CHNCXR_0263_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0264_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0265_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0266_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0267_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0268_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0269_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0270_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0271_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0272_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0273_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0274_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0275_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0276_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0277_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0278_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0279_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0280_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0281_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0282_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0283_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0284_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0285_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0286_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0287_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0288_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0289_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0290_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0291_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0292_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0293_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0294_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0295_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0296_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0297_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0298_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0299_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0300_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0301_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0302_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0303_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0304_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0305_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0306_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0307_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0308_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0309_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0310_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0311_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0312_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0313_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0314_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0315_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0316_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0317_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0318_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0319_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0320_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0321_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0322_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0323_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0324_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0325_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0326_0.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0327_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0328_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0329_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0330_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0331_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0332_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0333_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0334_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0335_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0337_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0338_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0339_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0340_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0361_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0362_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0363_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0364_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0365_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0366_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0367_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0368_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0369_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0370_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0371_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0372_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0373_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0374_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0375_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0376_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0377_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0378_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0379_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0380_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0381_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0382_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0383_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0384_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0385_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0386_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0387_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0388_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0389_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0390_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0391_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0392_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0393_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0394_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0395_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0396_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0397_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0398_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0399_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0400_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0401_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0402_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0403_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0404_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0405_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0406_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0407_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0408_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0409_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0410_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0411_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0412_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0413_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0414_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0415_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0416_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0417_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0418_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0419_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0420_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0421_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0422_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0423_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0424_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0425_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0426_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0427_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0428_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0429_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0430_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0431_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0432_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0433_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0434_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0435_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0436_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0437_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0438_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0439_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0440_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0441_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0442_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0443_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0444_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0445_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0446_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0447_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0448_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0449_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0450_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0451_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0452_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0453_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0454_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0455_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0456_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0457_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0458_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0459_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0460_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0461_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0462_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0463_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0464_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0465_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0466_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0467_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0468_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0469_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0470_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0471_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0472_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0473_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0474_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0475_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0476_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0477_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0478_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0479_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0480_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0501_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0503_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0504_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0506_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0507_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0508_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0509_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0510_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0511_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0512_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0513_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0514_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0515_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0516_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0517_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0518_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0519_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0520_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0521_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0522_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0523_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0524_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0525_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0526_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0527_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0528_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0529_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0530_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0531_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0532_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0533_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0534_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0535_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0536_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0537_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0538_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0539_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0540_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0541_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0542_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0543_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0544_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0545_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0546_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0547_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0548_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0549_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0550_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0551_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0552_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0553_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0554_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0555_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0556_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0557_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0558_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0559_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0566_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0567_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0568_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0569_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0570_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0571_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0572_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0573_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0574_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0575_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0576_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0577_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0578_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0579_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0580_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0581_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0582_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0583_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0584_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0585_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0586_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0587_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0588_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0589_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0590_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0591_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0592_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0593_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0594_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0595_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0596_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0597_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0598_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0599_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0600_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0601_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0602_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0603_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0604_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0605_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0606_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0607_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0608_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0609_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0610_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0611_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0612_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0613_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0614_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0615_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0616_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0617_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0618_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0619_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0620_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0621_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0622_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0623_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0624_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0625_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0626_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0627_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0628_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0629_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0630_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0631_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0632_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0633_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0634_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0635_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0636_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0637_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0638_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0639_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0640_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0641_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0642_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0643_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0644_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0645_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0646_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0647_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0648_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0649_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0650_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0651_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0652_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0653_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0654_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0655_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0656_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0657_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0658_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0659_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0660_1.png  \n",
            "  inflating: Lung_Segmentation/label/CHNCXR_0661_1.png  \n",
            " extracting: Lung_Segmentation/label/CHNCXR_0662_1.png  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AoxCIJscPmAC",
        "colab_type": "text"
      },
      "source": [
        "## 풀린 데이터 파일 구조\n",
        "\n",
        "```\n",
        "Lung_segmentaiton/\n",
        "  image/\n",
        "    CHNCXR_0001_0.png\n",
        "    CHNCXR_0002_0.png\n",
        "    ...\n",
        "  label/\n",
        "    CHNCXR_0001_0.png\n",
        "    CHNCXR_0002_0.png\n",
        "    ...\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZN8aC7EMQpDL",
        "colab_type": "text"
      },
      "source": [
        "## 파일 보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IaPaC-FnQKU6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 529
        },
        "outputId": "9d4c6142-ef21-4664-e03c-6851b8a54c3c"
      },
      "source": [
        "from IPython.display import Image, display\n",
        "\n",
        "display(Image('./Lung_Segmentation/image/CHNCXR_0001_0.png'))\n",
        "display(Image('./Lung_Segmentation/label/CHNCXR_0001_0.png'))\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GVdJ49RtQtry",
        "colab_type": "text"
      },
      "source": [
        "## 데이터 로딩"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5ME_l5d-GuRE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import os\n",
        "\n",
        "from skimage.io import imread\n",
        "from skimage.transform import resize\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "IMG_WIDTH = 256\n",
        "IMG_HEIGHT = 256\n",
        "IMG_CHANNELS = 3\n",
        "\n",
        "data_path = \"./Lung_Segmentation\"\n",
        "\n",
        "files = os.listdir(os.path.join(data_path, 'image'))\n",
        "file_headers = []  #python list\n",
        "for f in files:\n",
        "    f1 = os.path.splitext(f)[0]\n",
        "    file_headers.append(f1)\n",
        "\n",
        "# file_headers = ['CHNCXR_0402_1', 'CHNCXR_0461_1', 'CHNCXR_0422_1', ... ]    \n",
        "#print(file_headers)\n",
        "\n",
        "raw_x = np.zeros((len(file_headers), IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)\n",
        "raw_y = np.zeros((len(file_headers), IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)\n",
        "\n",
        "count = 0\n",
        "for fh in file_headers:\n",
        "    # fh = \"CHNCXR_0402_1\"\n",
        "\n",
        "    # f1 = \"./Lung_Segmentation/image/CHNCXR_0402_1.png\"\n",
        "    f1 = os.path.join(data_path, 'image', '{}.png'.format(fh))\n",
        "    # l1 = \"./Lung_Segmentation/label/CHNCXR_0402_1.png\"\n",
        "    l1 = os.path.join(data_path, 'label', '{}.png'.format(fh))\n",
        "    \n",
        "    img = imread(f1)[:,:,:IMG_CHANNELS]\n",
        "    # img.shape = (256, 256, 3)\n",
        "\n",
        "    mask = imread(l1)\n",
        "    # mask.shape = (256, 256)\n",
        "\n",
        "    mask = np.expand_dims(mask, axis=-1)\n",
        "    # mask.shape = (256, 256, 1)\n",
        "\n",
        "    raw_x[count] = img\n",
        "    raw_y[count] = mask\n",
        "    \n",
        "    count += 1\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qhp-Lt0OWcxT",
        "colab_type": "text"
      },
      "source": [
        "## 원시 데이터 보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MXnw8NwqTJd8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "683a0e54-576f-429b-9f17-13f3eadd1a98"
      },
      "source": [
        "print(raw_x[0])\n",
        "print(raw_y[0])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[[135 135 135]\n",
            "  [128 128 128]\n",
            "  [132 132 132]\n",
            "  ...\n",
            "  [ 86  86  86]\n",
            "  [ 85  85  85]\n",
            "  [ 84  84  84]]\n",
            "\n",
            " [[ 74  74  74]\n",
            "  [ 72  72  72]\n",
            "  [ 76  76  76]\n",
            "  ...\n",
            "  [ 54  54  54]\n",
            "  [ 54  54  54]\n",
            "  [ 51  51  51]]\n",
            "\n",
            " [[ 41  41  41]\n",
            "  [ 48  48  48]\n",
            "  [ 41  41  41]\n",
            "  ...\n",
            "  [ 33  33  33]\n",
            "  [ 30  30  30]\n",
            "  [ 38  38  38]]\n",
            "\n",
            " ...\n",
            "\n",
            " [[  7   7   7]\n",
            "  [  7   7   7]\n",
            "  [  7   7   7]\n",
            "  ...\n",
            "  [  7   7   7]\n",
            "  [250 250 250]\n",
            "  [  7   7   7]]\n",
            "\n",
            " [[  7   7   7]\n",
            "  [  8   8   8]\n",
            "  [  7   7   7]\n",
            "  ...\n",
            "  [255 255 255]\n",
            "  [247 247 247]\n",
            "  [255 255 255]]\n",
            "\n",
            " [[  7   7   7]\n",
            "  [  7   7   7]\n",
            "  [  9   9   9]\n",
            "  ...\n",
            "  [  8   8   8]\n",
            "  [255 255 255]\n",
            "  [255 255 255]]]\n",
            "[[[False]\n",
            "  [False]\n",
            "  [False]\n",
            "  ...\n",
            "  [False]\n",
            "  [False]\n",
            "  [False]]\n",
            "\n",
            " [[False]\n",
            "  [False]\n",
            "  [False]\n",
            "  ...\n",
            "  [False]\n",
            "  [False]\n",
            "  [False]]\n",
            "\n",
            " [[False]\n",
            "  [False]\n",
            "  [False]\n",
            "  ...\n",
            "  [False]\n",
            "  [False]\n",
            "  [False]]\n",
            "\n",
            " ...\n",
            "\n",
            " [[False]\n",
            "  [False]\n",
            "  [False]\n",
            "  ...\n",
            "  [False]\n",
            "  [False]\n",
            "  [False]]\n",
            "\n",
            " [[False]\n",
            "  [False]\n",
            "  [False]\n",
            "  ...\n",
            "  [False]\n",
            "  [False]\n",
            "  [False]]\n",
            "\n",
            " [[False]\n",
            "  [False]\n",
            "  [False]\n",
            "  ...\n",
            "  [False]\n",
            "  [False]\n",
            "  [False]]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uf0F31eBQ2S0",
        "colab_type": "text"
      },
      "source": [
        "## 데이터 정규화"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-WA09ov8G19W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "x_all = raw_x.astype('float32') / 255.\n",
        "y_all = raw_y"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f9aAVB3HRMHB",
        "colab_type": "text"
      },
      "source": [
        "## 데이터 나누기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wBiEDjFBG8Lj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "split_index = int(x_all.shape[0]*0.8)\n",
        "train_x, test_x = x_all[:split_index], x_all[split_index:]\n",
        "train_y, test_y = y_all[:split_index], y_all[split_index:]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YAlIG-SDHGCk",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 86
        },
        "outputId": "81d4be1b-bb36-40ad-be96-f9027ea6bd4f"
      },
      "source": [
        "print(train_x.shape)\n",
        "print(train_y.shape)\n",
        "print(test_x.shape)\n",
        "print(test_y.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(452, 256, 256, 3)\n",
            "(452, 256, 256, 1)\n",
            "(114, 256, 256, 3)\n",
            "(114, 256, 256, 1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FcqjqeYpHL-7",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "701e80e3-4c71-45de-caff-b83d9ca4eb26"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "def plotTrainData(x, y, set_type):\n",
        "    print(set_type)  \n",
        "    for i in range(3):\n",
        "        ix = np.random.randint(0, len(x))\n",
        "        plt.subplot(1,2,1)\n",
        "        plt.imshow(x[ix])\n",
        "        \n",
        "        plt.subplot(1,2,2)\n",
        "        plt.imshow(np.squeeze(y[ix]), 'gray') # np.squeeze()는 (256,26,1)을 (256,256)으로 변환\n",
        "        plt.show()\n",
        "        \n",
        "plotTrainData(train_x, train_y, 'train')\n",
        "plotTrainData(test_x, test_y, 'test')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "train\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "test\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rmbvBqVeWh18",
        "colab_type": "text"
      },
      "source": [
        "## U-Net 모델 정의"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oLVmgCbuI2Vy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras.layers import Input, Conv2D, BatchNormalization, MaxPooling2D, Conv2DTranspose, concatenate\n",
        "from tensorflow.keras import backend as keras\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "from tensorflow.keras.callbacks import ModelCheckpoint, LearningRateScheduler\n",
        "\n",
        "def unet(input_size=(256,256,3)):\n",
        "    inputs = Input(input_size)\n",
        "    \n",
        "    conv1 = Conv2D(32, (3, 3), activation='relu', padding='same')(inputs)\n",
        "    conv1 = BatchNormalization()(conv1)\n",
        "    conv1 = Conv2D(32, (3, 3), activation='relu', padding='same')(conv1)\n",
        "    conv1 = BatchNormalization()(conv1)\n",
        "    pool1 = MaxPooling2D(pool_size=(2, 2))(conv1)\n",
        "\n",
        "    conv2 = Conv2D(64, (3, 3), activation='relu', padding='same')(pool1)\n",
        "    conv2 = BatchNormalization()(conv2)\n",
        "    conv2 = Conv2D(64, (3, 3), activation='relu', padding='same')(conv2)\n",
        "    conv2 = BatchNormalization()(conv2)\n",
        "    pool2 = MaxPooling2D(pool_size=(2, 2))(conv2)\n",
        "\n",
        "    conv3 = Conv2D(128, (3, 3), activation='relu', padding='same')(pool2)\n",
        "    conv3 = BatchNormalization()(conv3)\n",
        "    conv3 = Conv2D(128, (3, 3), activation='relu', padding='same')(conv3)\n",
        "    conv3 = BatchNormalization()(conv3)\n",
        "    pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)\n",
        "\n",
        "    conv4 = Conv2D(256, (3, 3), activation='relu', padding='same')(pool3)\n",
        "    conv4 = BatchNormalization()(conv4)\n",
        "    conv4 = Conv2D(256, (3, 3), activation='relu', padding='same')(conv4)\n",
        "    conv4 = BatchNormalization()(conv4)\n",
        "    pool4 = MaxPooling2D(pool_size=(2, 2))(conv4)\n",
        "\n",
        "    conv5 = Conv2D(512, (3, 3), activation='relu', padding='same')(pool4)\n",
        "    conv5 = BatchNormalization()(conv5)\n",
        "    conv5 = Conv2D(512, (3, 3), activation='relu', padding='same')(conv5)\n",
        "    conv5 = BatchNormalization()(conv5)\n",
        "    \n",
        "    up6 = concatenate([Conv2DTranspose(256, (2, 2), strides=(2, 2), padding='same')(conv5), conv4], axis=3)\n",
        "    conv6 = Conv2D(256, (3, 3), activation='relu', padding='same')(up6)\n",
        "    conv6 = BatchNormalization()(conv6)\n",
        "    conv6 = Conv2D(256, (3, 3), activation='relu', padding='same')(conv6)\n",
        "    conv6 = BatchNormalization()(conv6)\n",
        "    \n",
        "    up7 = concatenate([Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same')(conv6), conv3], axis=3)\n",
        "    conv7 = Conv2D(128, (3, 3), activation='relu', padding='same')(up7)\n",
        "    conv7 = BatchNormalization()(conv7)\n",
        "    conv7 = Conv2D(128, (3, 3), activation='relu', padding='same')(conv7)\n",
        "    conv7 = BatchNormalization()(conv7)\n",
        "    \n",
        "    up8 = concatenate([Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same')(conv7), conv2], axis=3)\n",
        "    conv8 = Conv2D(64, (3, 3), activation='relu', padding='same')(up8)\n",
        "    conv8 = BatchNormalization()(conv8)\n",
        "    conv8 = Conv2D(64, (3, 3), activation='relu', padding='same')(conv8)\n",
        "    conv8 = BatchNormalization()(conv8)\n",
        "    \n",
        "    up9 = concatenate([Conv2DTranspose(32, (2, 2), strides=(2, 2), padding='same')(conv8), conv1], axis=3)\n",
        "    conv9 = Conv2D(32, (3, 3), activation='relu', padding='same')(up9)\n",
        "    conv9 = BatchNormalization()(conv9)\n",
        "    conv9 = Conv2D(32, (3, 3), activation='relu', padding='same')(conv9)\n",
        "    conv9 = BatchNormalization()(conv9)\n",
        "\n",
        "    conv10 = Conv2D(1, (1, 1), activation='sigmoid')(conv9)\n",
        "\n",
        "    return Model(inputs=[inputs], outputs=[conv10])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "raJk70zBWm7M",
        "colab_type": "text"
      },
      "source": [
        "## 모델 컴파일과 학습"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EBpw9ae6Uiot",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 752
        },
        "outputId": "8880c419-6aab-4756-ae28-fca31b13f169"
      },
      "source": [
        "# 모델 생성\n",
        "model = unet()\n",
        "\n",
        "# 모델 컴파일\n",
        "model.compile(loss=\"mse\", optimizer=\"SGD\", metrics=['accuracy'])\n",
        "\n",
        "# 학습\n",
        "hist = model.fit(train_x, train_y, validation_split=0.2, epochs=20, batch_size=8, verbose=1)\n",
        "\n",
        "# 모델 저장\n",
        "model.save('unet.h5')\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train on 361 samples, validate on 91 samples\n",
            "Epoch 1/20\n",
            "361/361 [==============================] - 19s 53ms/sample - loss: 0.2061 - acc: 0.6893 - val_loss: 0.2931 - val_acc: 0.2544\n",
            "Epoch 2/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.1646 - acc: 0.7766 - val_loss: 0.3445 - val_acc: 0.2544\n",
            "Epoch 3/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.1391 - acc: 0.8203 - val_loss: 0.3883 - val_acc: 0.2544\n",
            "Epoch 4/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.1168 - acc: 0.8548 - val_loss: 0.4043 - val_acc: 0.2552\n",
            "Epoch 5/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0975 - acc: 0.8854 - val_loss: 0.3856 - val_acc: 0.3697\n",
            "Epoch 6/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0849 - acc: 0.9026 - val_loss: 0.3484 - val_acc: 0.5245\n",
            "Epoch 7/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0764 - acc: 0.9131 - val_loss: 0.3060 - val_acc: 0.5883\n",
            "Epoch 8/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0695 - acc: 0.9214 - val_loss: 0.2338 - val_acc: 0.6626\n",
            "Epoch 9/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0645 - acc: 0.9270 - val_loss: 0.1899 - val_acc: 0.7351\n",
            "Epoch 10/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0596 - acc: 0.9327 - val_loss: 0.1356 - val_acc: 0.8223\n",
            "Epoch 11/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0566 - acc: 0.9358 - val_loss: 0.1136 - val_acc: 0.8535\n",
            "Epoch 12/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0524 - acc: 0.9408 - val_loss: 0.0700 - val_acc: 0.9200\n",
            "Epoch 13/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0496 - acc: 0.9436 - val_loss: 0.0983 - val_acc: 0.8763\n",
            "Epoch 14/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0473 - acc: 0.9463 - val_loss: 0.0500 - val_acc: 0.9430\n",
            "Epoch 15/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0447 - acc: 0.9491 - val_loss: 0.0460 - val_acc: 0.9470\n",
            "Epoch 16/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0427 - acc: 0.9513 - val_loss: 0.0428 - val_acc: 0.9493\n",
            "Epoch 17/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0408 - acc: 0.9533 - val_loss: 0.0407 - val_acc: 0.9519\n",
            "Epoch 18/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0394 - acc: 0.9546 - val_loss: 0.0915 - val_acc: 0.8814\n",
            "Epoch 19/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0384 - acc: 0.9558 - val_loss: 0.0391 - val_acc: 0.9518\n",
            "Epoch 20/20\n",
            "361/361 [==============================] - 11s 30ms/sample - loss: 0.0370 - acc: 0.9572 - val_loss: 0.0388 - val_acc: 0.9522\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZtJeFKDyX5jx",
        "colab_type": "text"
      },
      "source": [
        "## 학습시 로스와 정확도 보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LEUzxWz8T7Eh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "outputId": "52c3735a-77e6-4ad3-90ba-9c9dab9b98bb"
      },
      "source": [
        "fig, loss_ax = plt.subplots()\n",
        "\n",
        "acc_ax = loss_ax.twinx()\n",
        "\n",
        "loss_ax.plot(hist.history['loss'], 'y', label='train loss')\n",
        "loss_ax.plot(hist.history['val_loss'], 'r', label='val loss')\n",
        "loss_ax.set_ylim([0.0, 1.0])\n",
        "\n",
        "acc_ax.plot(hist.history['acc'], 'b', label='train acc')\n",
        "acc_ax.plot(hist.history['val_acc'], 'g', label='val acc')\n",
        "acc_ax.set_ylim([0.0, 1.0])\n",
        "\n",
        "loss_ax.set_xlabel('epoch')\n",
        "loss_ax.set_ylabel('loss')\n",
        "acc_ax.set_ylabel('accuray')\n",
        "\n",
        "loss_ax.legend(loc='upper left')\n",
        "acc_ax.legend(loc='lower left')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eCbq9zJ0YA4t",
        "colab_type": "text"
      },
      "source": [
        "## 테스트 결과 보기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lP2EfC--LZND",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "def plotPredictions(model, train_x, train_y, test_x, test_y):\n",
        "\n",
        "    ix = np.random.randint(0, len(train_x))\n",
        "\n",
        "    input_ = train_x[ix:ix+1]\n",
        "    mask_ = train_y[ix:ix+1]\n",
        "\n",
        "    preds_train = model.predict(input_)\n",
        "    preds_train_t = (preds_train > 0.5).astype(np.uint8)\n",
        "\n",
        "    plt.figure(figsize=(10,10))\n",
        "    plt.subplot(1,3,1)\n",
        "    plt.title(\"X_train\")\n",
        "    plt.axis('off')\n",
        "    plt.imshow(input_[0])\n",
        "    plt.subplot(1,3,2)\n",
        "    plt.title(\"Y_train\")\n",
        "    plt.axis('off')\n",
        "    plt.imshow(mask_[0][:,:,0], 'gray')\n",
        "    plt.subplot(1,3,3)\n",
        "    ret = model.evaluate(input_, mask_)\n",
        "    plt.title(\"Prediction: %.4f\" % (ret[1]))\n",
        "    plt.axis('off')\n",
        "    plt.imshow(preds_train_t[0][:,:,0], 'gray')\n",
        "    plt.show()\n",
        "\n",
        "    ix = np.random.randint(0, len(test_x))\n",
        "    input_ = test_x[ix:ix+1]\n",
        "    mask_ = test_y[ix:ix+1]\n",
        "    preds_test = model.predict(input_)\n",
        "    preds_test_t = (preds_test > 0.5).astype(np.uint8)\n",
        "    \n",
        "    plt.figure(figsize=(10,10))\n",
        "    plt.subplot(1,3,1)\n",
        "    plt.title(\"X_test\")\n",
        "    plt.axis('off')\n",
        "    plt.imshow(input_[0])\n",
        "    plt.subplot(1,3,2)\n",
        "    plt.title(\"Y_test\")\n",
        "    plt.axis('off')\n",
        "    plt.imshow(mask_[0][:,:,0], 'gray')\n",
        "    plt.subplot(1,3,3)\n",
        "    ret = model.evaluate(input_, mask_)\n",
        "    plt.title(\"Prediction: %.4f\" % (ret[1]))\n",
        "    plt.axis('off')\n",
        "    plt.imshow(preds_test_t[0][:,:,0], 'gray')\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ViYIUw06JxE9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 440
        },
        "outputId": "07adfe12-b5ac-449a-b151-30ed537a4be9"
      },
      "source": [
        "plotPredictions(model, train_x, train_y, test_x, test_y)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\r1/1 [==============================] - 0s 17ms/sample - loss: 0.0241 - acc: 0.9702\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\r1/1 [==============================] - 0s 16ms/sample - loss: 0.0343 - acc: 0.9608\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Wzpeu4HA/EiT+JqnqiZDo+/VGePR9e1N1err/Pe1TvS1/9xbyMmHChAkTJnYWfRIeYkcEh3/r38R3FPLQj1VNkKxWK5xOJ7LZrBAbLvJUH1wuF7xeL5qbm+H3+8U3Q/WFiz/9KjabDTabrWKBtVgsorrw/PTIABDi4HK5kMvlxJ/Cc7ndbhSLRUSjUQmV8RgOhwP5fB52u73C61QsFpFIJCRURVLJsTLcZLPZkMvlUCgUxFOUTqeFiBmGIaEwv9+PVCoFv98vvh3OnVJKQmm6v4jHpirFsVUrdRaLpcKLo9+vntSZvh7v6fXT0/bVahFJm6nwmDBhwoSJXUWfhKc6rEH0tdDxbx29+S+qw16GYYifRldkuCADgNPphNPphM1mg8/ng8/ng9PpFOWG5lwulPTqkFQAEJMyr5EGZC76uVyuQtHRw2n00HAsqVQKFotFVKBMJiMKU0NDAzwej5AKKhUkYAy5UdGh74hEi3NCEuLxeOD3+yXkxmvOZrNwu91IpVJybIatLBYL0um0hOBI8Bj2IkHM5XJCwqgekSD1FrLSFRoSo+pt+gpN9fX66el8pofHhAkTJkzsKnao8FR/o6fKwueq0ZOyU53JpS9kekiFKgk9K0opCWE5nU54PB5Z6D0ej5Ad3ZRMIsEfKixUTUiq+JxODqjKJBIJ2Gw2uN1uUWucTidcLpeEjCwWC+LxuDzPfRgu47wxUywWi8m5SELsdruEqjKZjIzfarUil8vJ+ZRSyGazct1UgkgE6V2yWCxwOBxCgEjUqB6RTOmqj058SHIYKiMRyuVyALZlXe3IaNyT6ZiPV5uWq4/RG/Ex1R0TJkyYMLE76JPw9BSG0BeknhajnrwbugrQk2eH2VhAyTekhzA8Hg9cLpcQG2ZWeb1eeY7hLbvdLmoOyQUAyaRi1ha9NzxePp8XdUgPhRUKBdjtdng8HtTW1sIwDKRSKSEH3I/jYRYZwZCR1WpFTU2NEBcqRalUSpQVErZMJiOkjUoPzdbMvKLviCQunU4LKfN6vRLGo3mbxJGP64qMPveGYUiGGLdXSkn4i6qb7ivSyQ/VIz2k2VPYs6fwZl9eL5PsmDBhwoSJ3cUOCc+OFpvevBf64tZTHR7dR0O1gSEsAKJmMHxF9UIpJWnfJAIkKropWFdYdMVHVzZIbBwOh4yT4SKSI53gkYBQdVJKSYYViQp/6/V0eDwSDdb28Xg8Qna4vcPhEIWLPh0AQvio+mQyGTk2w2EM95GIOBwOmdd0Oi3zTbLDMB5VJz0dnqoOyZJhGEJ49G1IgKg46Uqgfr95LADbhb56UgWr1R79NWPChAkTJkx8WuyUaVlHtepTvThVf6PXv6XrmT9cZBlmIWgG5sKue1JIehwOR4XKQuVIV0NIZui3ASAhLD3ExbCSPh4qIT6fD36/Hx6Pp8JjQxLB+j+pVEpS35ubmxGNRoUEcHyZTGa7MBAN0rpHSDcsA4DL5ZI5Ywo9SRXr7JDkkISQfFitVvj9/orQG++V7hMiCXI4HBVGam7H+eW94v3jOUludPOzTp70Hx5Pf43o0LPCqp/rKYRqwoQJEyZM7Ax2SHiqjcX6332FIar9F9XhCao2XEh18zAXZ9bHoVpBdYcLPzOnuOhTrSFx0VUdEqJqssOQDg27ejp3LpdDMpmUej1Wq1XS3d1uNzweD7q7u5HP54XcuN1uOT49QAAkPMYQVjabrSgCSPVGDwuRSJGAud1uGUc0GoXT6awgJMzo8vl8Yp62WCzw+/0V3iISTJInFlfUq1DrXi09jKVnfPExKkY64eE86//rZmj+rf+vZ4n1lC1mKjwmTJgwYWJXsVOm5d6+WeskqHox0hc8/s9j6XVwSHAYutIJC0My3J6hK/p1aPLlvlRDeDwumiRLVCWY3aT7ZPRsLBYrJBGh2kJliZlkLBCoG4fZ4oIkQVemOGdUROhXYshLrwRtt9sRi8UQDAZlHnidhmHA6/UKcWIFZo5bV5WAbSoRx8TwGM/D+8AQHdUs3l9eBw3W9ESRIHJ+eE3ANqWG++jn1+sKcbx8XDdNV4dDTYXHhAkTJkzsKj5VlhbRlyent//5m6SBP1zoGb4iWSBB0FOjSQxYNZlkhUoOj8dj6USD/aT0ujgAKjwwVI9IGBgeouJBFYpp68lkUghbMpkULw4VHo7b6/VKJWUdmUxG2ldQPSEhJBFobm4WBSWbzcq1ejweRCIR8ToxhOb1eqXOD+sEUZHK5XIVGWpUZzhXND+TjOgeLCox+tzpoTid4PD+k9BxTvTML94/XfXSX1tUjPR0eVPhMWHChAkTu4o+CU9vpKV6m+qQlv7DBdzlcok3p5qYMESlm5Z1NUhPrXa5XBWPUUHxer0yBt2PQzWC2zPso4+Pqg/301tS0LdDksAx0ahMIkWyo3tUeAwA8Pl8SKVSQjgKhYI0JWXFZY6DBmL24+IYGhsbpUIzDdnFYqnpqE5wvF6vqDV6iIoGad5DkjX9fFR2OA8cv9vtlv2pDpHI6NdK4qW33tCzu2jE1lUkEhs99EUSReKnp8ebMGHChAkTnxY7XWm5t3oreohGJzpcaJk6rte0odJCEqGbjKlm6B4cPezEYwAQdYLeHIay6IXhsXTywzGTTJAEGUap0WcqlRLFRU+3ZsFBXms8HhfFhcqKnnauh+24+LvdbsRiMQClMJNSCrFYTDKx9NAaVR6OWw93sf9WtVmb2zM1vbolA8kWoWeqUUGrnlc9Q00v3FgoFODz+YRYZbNZUceoVHFeGW6jMkU1KZFIiNKTzWYRjUaF5LDVBskRFSYTJkx8dmDW4DLRn9gphac6RKUbSnVzK70gVHKYJk1Sw8wnm82GmpoaLFiwQFSSQqGA1atXY9WqVXIsHp+tHphGTYWGqdY6IaMypIfi9DCW2+1GfX29qBEkRlyYqWpYLBYpbOj1eiUjiipDPp9HOp1GQ0ODdCNvaWlBNptFZ2enPK9nMJG4sToye2hRwSFJILHQVS4SG4vFgubmZmSzWXR3dyObzVaYsjnOZDIpae86IaWiVN05Xq9bBEDID/+mekTTNIkd74teUJAd50moCBq7SfASiQSUUhKCa2xsFPLEvmaFQgGRSKRiLk2YMPHZwIUXXoi77757sIdhYoRgp7K0qsNZ1QSIvhxmEbEIHtUcLqxUDFwuF+rr69He3o6//OUvsFqtmDhxIubMmYN169ZVhDS4yOveEaaDk8DQhKtnK7GmTXXV5UKhgFQqJePTTbRUO3w+HwDI4m4YBmKxmBA3KjAMATGkxOfr6+tlTMya4uJeKBQQj8fFm0ICx7FRPeHx+BuAeGBI5BoaGpDJZBCJRIQ4UhFiOnp1gcRsNltRd4hki/OrhwoBSHaY2+2We8Jxut1uKbrI56lQkYglk0lYrVYkk8mKJrAkx8A2xYjeHpqh2YTVarXKnJkwYeKzg6FKdhobG/HFL34RzzzzzGAPxcSnQJ+ERzeQElQESGRYAJB1c+x2u2QyUaHQTcRUfLxeL8aNGyfEpaGhAevXr4fT6RQzL/03evsJKjd6OIb/95Qqz9AZ1ZpkMikeE7/fL6ndeiE9AGJa1ruP0zDN/lPJZFIWYipDPI5e04fqhJ7mzkW9rq4OmUxGUt/ZE4vXxbARUCJ6LDhI0qPPezgcljCRniJPkkEVJp/PixLEkBwACdvpBmKqdUopITWsbM0MOWaUcWz0RekVoZlhxjAg753eJd7pdMLv90sdIypzhUIB48aNq1CdTJgwYWKwEAqF8OKLLw72MEx8SuxUSEs3HtMjw3AVDchUFrggkiDoISiqBTwea9kcfPDBsFqtWLZsmSyuOrEBUFEgUE9x10MxeqFCkhSOh4s/1RT6QmiaZho3a9/YbDZJOXe73eKLoadErzGj+4xo1KV6w9CZPqfMKHM4HIjH40in0zJGXo/T6YTP5xOiyOvgXJJckWQ4HA7U1taiu7sboVCowjDOsBnJZbU/h3PGkB6ztZQqNSzlPNfV1cHr9cLr9YrawvATQ1w0cTPNnUSUc97S0iLnIxGLx+NC+jiv6XQahUIB0WgULS0tEi40YcKEiaEA01s0/NAn4eEC6/P5JBWczTCrU8h1v0m1yRaAqB3MaKqrq0M8HsfHH3+MDRs24NRTT8Xs2bOxcuVKABBlh/uRVOlFAHO5nJAEEgk+R0WBf+tqE0NmPp9PFA8uyAxZ0XjN8AyvjeEc1rih+qQXSdSrMfNNwTCR3W5HKpVCNptFOBxGJpMRxYThJ30+q1tS0Bhtt9uRTqdlTDx/S0sL6urqsGXLFsRiMVGh6Hci0akmYVSX9BR/1hSiEuXz+USV0dPUAchccs71+j78zQytfD4vJImGcBInvuZo9t5rr71QW1uLeDxuenhMmDAxJFBfX4/DDjsMTz/99KCO4/DDD8c777yz3ZfBuXPnYs2aNXj//fcHaWRDE30SnnHjxm1nPtbJA/0tJBnAtkq+zJTSDbg6KWHogz6ap59+GqNHj8ahhx6KV155pSIMw4VeLyKot1OgCkLlQPeiMGyl1+OhgqFXFqYx1uVyoa6uThZ1nbzpxIvNNDkG3VSrE0GqMAz9FYtFxONxyUgiUWAIh0qWXvOH6hFDbiRPTqdTSANDZEDJezR69GiEw2HE43HU1NSIkZqmZV2tIsmhp8bn86GpqUlqCHk8Hjl3Op0WMkICy1IDPp9PiA6vP5PJIBqNIhQKCekiWQMgql0ymRQyR3UnEAigrq4O2WwW8Xi8X1/4JkyYMLGr6OrqGnSyc9BBB2HZsmV4+OGH8dOf/hTTp0/H3Llz8cILL2Dx4sU4//zzceCBB+KAAw7A8uXLYRiG9Gn8rEL1Jcsde+yxhk522LqBKgFJBcGFk6oOF3iCCgq/9etZSwyTkDhwIaQSQXIFlLwsABAOh0Ut0mv9BAIBeDweBAKBCoWH6oQ+Ji7yXJj1dO6amhohITTmsqYMjbTt7e1CHqr7RLndbvj9fjQ0NEi140wmg2AwWNGck3NVW1uLYrGIVCpVESbSixHS/Oz1ehEIBMRjREJCRYrzx/BWJpNBIpFAOp1GMpmU6+CcKKXQ1NSE2tpa1NbWorm5GV6vV0zWsVhMyCXniPcuEAjI64LeJhZaTKfTokRxf729hl7RmveZ96yurk5KBFAtO/nkkwe13LJSytSxTQwpGIYx4t8TbW1taGlpwXvvvTfQp9ohDjroIHR0dGDLli2DNoYvf/nLWLhwIS666CIAkLVHt3wUCgU8/PDDmD9/Pi6++GLMnDkTS5cuxbPPPjto495T6O090afC09jYKOqJXu1Y93/o/h1gW0dxLqZ6I0wSIN4Uem5cLhcCgQAAoL29vSKcpGf1cBHXlQyG2KjM1NfXo7a2VpSj6mwvhls4Br2vVV1dXUUhP93Dw/o3fGFxP6vVioaGBlgsFqmxQ9+OHtohYeG4OQ+6f4bqDzOaWJ+GdXfy+TySyaRcT01NjVwryYmusORyOUmbZ8aY3liU2WBUi+rq6jB69Gjx6litViQSCSF8yWRSFD3eTxLCXC6HSCQiBIZj52uH95DER4euLunFJJm2T4N0TU3Nzr/iTYwYNDc3o76+Xv6/7LLLcMghh/S5zy9+8Qu8/vrr2LBhAxKJxEAP0UQ/oa2tTdYAHdFotKJNze4eb3ewadMmJJPJfjvep8XEiRNx9tln45xzzpHHuCYC275EW61WnHHGGTAMA9dffz3Gjx+PQCCA2bNn41e/+hVqa2vR1NSExx9/fI9fw2ChT4XnvPPOMxhi0b0krIvDx9i2wOVyIZFICLnQs4C4yGWzWfj9fsny4vFaW1uRSCSwefNmUXn0ooGxWExq5bCIYbFYRFNTU0VPraamJglrVdefcTqdFSEiErhisYhEIlFBxlKplKgrPp9Psrz09g56+rVeL4bnpwGbpIQ+lFQqVeFBYognmUyKuTgajSISiSAWi4nioWdo2Wy2CkIwevRoadMBlMgqx5lIJNDV1VUxH8FgUEJaSik0NjaitbUVo0aNqigaqHuWeH69FUU8HkcikRDSWN2VXa/wrLeLYCYXPVkAtgs9MnsOAGpra2GxWPDVr351xH+bNVHySCxevBhKKRx77LE4/PDDd+k4S5cuxerVq3H33Q1Y1pIAACAASURBVHdj48aN/TzKoYGRpPCccMIJWLly5S6Rm54wZ84cPPPMMxWexU8Dq9WKk046SUjBvHnz8MQTTwyqn/DGG2/Etddeu9vHCQaD+OUvf4mNGzcO2fT/XUVv74k+Cc8555xjMJylKyVclGgiJgHS2wLohl09NENVhSEZr9cri1k8HsfmzZtFnWBNFx6Dfhu/34/m5mZ5EVOBYeiI3hJdzWHIhMqJXshPVz+Yts7FluqRzWYTjwqJALfVe0VRHdKz13SyRCLF8CAVEaAU7uro6JAP5mw2i0QigUKhgKamJiGAVqsV6XRa4rHFYhF1dXWoq6sTZQsoeXFqamrgcrkQj8cRCoUklKUTjtraWjQ2NqK2trai+CDVH3qduE84HEY4HEYymUQikZCaPLoCyFCX3gsrn88jEolUNCbVw6LM7tOVQN4verfmzp07Yj7cTfSMlpYW/O53v8MxxxzTb8fcuHEjHnroITzwwAP44IMP+u24QwEjifAMBiZOnIipU6eis7MTa9aswZVXXomPPvoIhUIBl112GZqamrB161YAwNVXX41ly5b1y3mbmpowadIktLe3Y+3atX1u29LSgkKhgMsvvxyLFi3CmDFj+mUMQIn4nHHGGXjuuef67ZiDjV0KaelVkgHIoqeHiPTeTPl8XgyuXLD01HFdWQkEAmhqakIgENgu20ivuwNAWhIApW/6o0aNgtfrRTAYlFBRU1MTvF6vqFD0lJA8xeNxhMNhOX91g1Eu6qyzo3tP9FRtkjqGrVhzh9WLGUbjufUq0zwXSZF+jblcDt3d3YjH4zLHVM9cLhc8Hg+i0aiE2TgeErMtW7YgnU6jtbUVACQUViwW0dDQgEAggGKxiO7ubgl9kQyx0CKJkh5q00NuujE9lUohmUyKYZlEECjV8yHJI7lhKwm9QrPevJQmd84VACE//J9E28SnB4m92+3G9ddfv91crl27Fj//+c/l//76hv1p4fP5sHTpUsycObNfjztmzBh873vfwze+8Q0sXLgQL7/88i5/6zcxMmCxWHDAAQfggQcewLPPPguv14sjjjgCY8aMwerVq/G5z31Owuh+vx9ASeEJhUL40pe+hJtuugnFYhFz5szBK6+8gkgk8qnOP2fOHMycORNdXV247LLL+tx2/vz5mDdvHmbNmrVrF9sH+IX0s4A+FZ67777boJmY3hE9LZnhHd3oy8WMqopeXTebzSKXy6GpqQltbW2ora2VRTmZTCIajUrohCZcPS2d3hK73Y5AICCeEi6wDPMwC4m+mq6uLmzevFlMslyca2tr0dDQgPr6elFvdD+S3pE9k8mISZgm6Gg0ilgsJiSG16enW7PbOdPOQ6EQIpGIEEFWFtYL92UyGXR1dSEajQohIcGgH4eEiqQhmUwiEAigsbFRFJ10Og2n04mWlhY0NzcLmWQ4kKZskkKOn8oUx8dMs0wmI5lyPp8P6XRa2lvwTUM/ll4PiT+5XA6ZTAbhcLiCLLLcAYCK+WeKPjMFbTYbpk6dan6b/RTYd999JeY/ffp0MadXg69NAEin01i8eDGi0Sj+9Kc/7dF6I8cccwxWrlxZ4Unob8Tjcbz55pv4xje+gU2bNg3YefYUTIXn02P69Om4+OKLcdxxx+Hxxx/H/PnzpSRGX+BaFYvF8OSTT+KFF17AmjVrYLPZ8MYbb+z0+Y888kg88cQTeOCBBzBr1iycdNJJFSpPY2OjfME+6KCDcOKJJ+Liiy/e1cvdISKRCBYsWIA//vGPA3aOPYldCmktWbLE0NUZj8cjH0QkJFQ7UqmUECOlSv2RdMLCBZD1XAKBAJRSiMfjSKVSsuDbbDYxqHEfu92O2tpa8cQ4HA74/f6KdO5UKiWmWd0jEgwGEQqFxD/DUBJDWoZhoLW1FW1tbWhqapKFl0qQXlWaagsAMRAHg0Hx5FD50AsF+v1+IUpc7Onz8Xg8YlLOZrPw+XzIZrOIxWISstLTCKPRKIBK5Y3d0202m2SpAagoStjc3IzRo0dLyI+KEX1D9BMBpcVOJ35MCeec0gPFqshMG+f8s1gh55BjASDGaxJIpvRznquLSAJAIBAQFTEej+Poo482P9x3ALfbjRNOOAHz5s3DQQcdhClTpuzScdLpNFasWIFbbrkF//jHPwa88OPhhx+O5cuXY9SoUQN6HuLFF1/EvHnzEA6H98j5Bgom4ekbxx9/PKZNm4arr74aZ599NsLhMB544AFRtncH3d3d6OjoQF1dHVasWIGrr74a3d3dPW67//77Y+zYsTj55JMxe/ZsjBs3DpFIBPPmzcNLL71U4Qtqa2uD0+nEjBkzcN999+32OHcGL7zwAk4++eQRUQJkl0JazOJhZg4VANbdoTrALCG9vQO3Zaq33+/HqFGjpM1DOBzG5s2bZbGnhM4aPqxFw+whkisalAEIGQiFQkgkEkI8PB4PDMNAIpGQVguNjY1irGXmESsQd3d3S2VlLuR6Cwl+0HMOuDCT4OntEehLISnhcyQVVHaoynA/qlORSETaT7DbPAkh1Zzu7m4hHvQSsQAjCWJNTY3UIGpsbITf70dtba2ksevXpHtkSFBZWDGRSAi51bOvEokEIpEI2tvbUVtbi0AggLa2NiGVHBsNzyTW9H0xjEUCC0CUJ6AyjJnJZBCLxT7zNSR2Fo8//jhmzJix2yFAl8uF008/HXPnzsUf/vAH3H///QPaO2ivvfbaY2QHKH3Lf/zxx7Fo0aIRofSY2B7HH388HnnkEdx111048MADEQ6HUV9f32/knd5JAPjoo49w44034pJLLulx2xNPPBEzZ87EscceCwBYvXo1XnvtNXzta1/D6tWrsW7dOtl2y5YtmDFjBn7605/2yzh3Bvvuuy9++MMf4sorr5Q6aSMNfRIehi2otAClBVIvRMcFUvfo6BV2x44di/r6eundtHHjRmzcuFGIBRtfciHWQ2N1dXVCrmgEpuLCTCabzSaZQlxgY7GYEAc904cEjmnhdrtdqgczZONyuRAOh1FXVyfqAsdGskYSqFcN1mvF6M1AdQ8TQ18kbRwjz697XkgswuEwDMNAKBQSNYaFBhm2Y+YXw0kslBiJRFBXVyf+DSo2JG384dh4HL0eEu8xQ1AkM1Rn8vm8hN/cbjdqa2vR2toqBDWTyQi5qzauA5DqzronjLWfOAfxeLwiHd5Ez1BK4dRTT8Whhx7ar34nt9uN0047DbNnz8Yll1yCJUuW9HuWisvl6nWhGEhMnz4dS5Yswfz583v9Zm5ieGHatGm48sorAQBTp06Fz+fDd7/7XcyfPx9NTU3ix+lvnH/++fjoo48ko7Ya77//Pm6++WZkMhkkk0lceumlePvttyVEVo1kMrlHfYsWiwUPP/zwiCU7wA4IT21tbUVvJ6aX03fCb/PAth5Rev0dr9crPZCoZjA8xYVv1KhRUnmYxygWi6itrZUQGs9vGAZcLpf0vGIYjC8YGmuz2awoSyRkemYZQyg0B1ONcblcovps3LgRjY2N0vuJmVEkMCQEVIFIrNh3i8ciCaLaw21J0pgOz9YdfLOkUil0dXUBQIVaQqKgZ4vxmvV0cpvNhgkTJkjhvlAohFQqBYfDgVQqBbfbLSn9VFaqQ1AkOiR2NHky4433mqULGIpLJpNoaGhATU0NAoEAampqJDxHHxAVH93Yrvt5eM0M1+nFCU1sj0mTJuGUU07BjTfeOGDEMBAI4Ne//jWUUvjtb3/br8e2Wq3Yf//9+/WYO4vp06fjsccew8KFC9He3j4oYzDRP7BarXjggQcwbty47Z6bOHHigJ57ypQp2G+//XDrrbfi8ssv384UP2fOHADA888/j3A4jMWLF2PatGm4/fbb8d3vfrdi23HjxuHII4/cY595r776Krq6uvD6668DKH0BOeSQQ0QAmDRpEh5++OE9MpaBRJ+EJx6Pi7JDMytrrbD2DgkDiYJSpa7azNJhCjMXbC7u9JvEYjH5m2EpZpPoBQqZ5r1161YEg0EJkySTSSSTSUk/LxQKiMViQpKobpAsMaOKxmNgWz0hhomAEqGgstDa2ioLMb0l9LnkcjkJoZH0cJ70onvM+ioWixWp2S6XC9lsFg6HA4lEQjxNJC5UXEg2qVDp46PZjt4mepH0StV6s1ESsa6uLrS0tEh6fCqVEm8RfTY8r/7DNhZ8TfCaSYBIsLq7u+H3+1FfX49AIAC3241oNCr3hbIyySevi683zkP1tZioxJgxY7B8+XIceOCBA34um82G22+/HcFgEE899VS/HffKK6+E1+vtt+N9WkyfPh3PP/88li5dittuu81sVDsM4XQ6cdVVV6GtrW3QxqCUwle+8hXJOtZxxx134M0338QNN9wAp9Mp61ZDQ8N2qtCUKVNwwAEH7LGEgXHjxmHffffFWWedhVdffRX19fV46KGH4HK5sHnzZowbNw7f/va3cdlll2HVqlXiJx1u6JPwdHZ2AkCFgZjqAYkNfSI+nw9+vx9ut1vUGKoKNBfzQySZTEqoqqGhQcy+iUQC0Wi0okIyjc6GYWDz5s1Yu3YtUqmUpGmzBgxbJ8TjccTjcSEfNC8zFMYqyWyOyR5XXq9X+kTp5CWRSKCjo0MUivr6evj9fgkBkbDwuLqZm+ROT0lnBhmzjqhsGIaBWCyGzs5OxGIxUaj00JFujNbbMhQKBSE6zMBhmnw2m5V0fdbV4diTySS2bNkCj8cjPb30cetd5aku8b7otY30mkusVE2VgSUBaMp2uVyIxWIVPc/4euL1UfliLSZ+eAxk5s5wxYQJE/DYY4/tEbJDsKREf2KvvfYadAVv//33x8033wyLxYIf/vCHgzoWE58e+++/P66//vrBHgZef/31Hr+czZo1C42NjWhsbJTkEgA4++yzcccdd+Dtt9+u2P7ss88e6KEKqIj95je/2e65Dz/8EG1tbTjiiCPwxhtv4Pzzz8evf/3rPTa2/sQOTctcmAi9jxazoGisZUgpHA5LhWC98B9VDR6PCx6rGXs8HrS2toqvh+pIPp/Hpk2bsH79eincRxKzdetWSZP3eDySPaUrUg6HQzqH87p0ZYTnZqsKt9st4SUem/FUhoUYduHCzP+pElEpYWq72+0WYsSwnN7jKh6Po6urS4oDZjIZIVZ2u12uifMBQMhXTU2N9A6rr68X35Xc5LISRTKjhwEZYvT7/Whra6soJ0DPEtU7hun4mtCLJjLrjfeGIahYLCahrpqaGowePRput1u8TCRzJIS8PhIzki6dVJkoYdy4cVixYsUeJTvEddddh0cffbRH78Fwx7XXXoszzjgD55133qdKNTZhAigRlX322QcXXHAB/vGPf8jj9957L2699dYd+nImTJiAH//4xwM9zJ3Gl7/85Yr/r7vuOrz11luIRCJYv379sPpc3mHhQaZ96wsowzl6MTO/349isYiPPvoIiURCKjCTHHi9Xsnk0gvz6X2d+E2/qalJFtR0Oo1NmzYhEonIolooFCqIjl5Z2Wq1ShiIqgjTqkmgaPalJ6erq0uuhdlNPp9PQnMcN+eAJmuGxGj2JZFjGIgqBxUfq9WKZDIpxQUZsmINIipEDodDVBeSRvqScrkcmpubpbcUVRmSITYXJYHgNw2SOfa8ymQy6O7ultAUayDRrE0wTMawpK706X279IKBVAFpfmbrDJLB0aNHiyGeBJaZeQxdVfuEdN+PiRLZefzxxweF7AClMNrChQtxzz33DMr5BxJOpxNTpkzBsmXLcOqpp5qkZw+AXb53JyV64cKFfT7PzxIAFV+8+xsWiwWrVq2qIDuzZ8+Gw+HAmDFjkMlkJAO1J+y11164//77sXDhQkydOnVAxrg7GDduHK6//noEg0EsWbIEmzZtwj//+c/BHtZOoc87zkVN7w3FlhCtra1obm6WonaJRAIbN25ELBaTEAjDGR0dHVi3bh2CwaA8xxcb/+biqRcuZNjH6/WisbERzc3NkmHFBZyExOfzSQVlKiPM7tJrCfHYetsLEgbWBdqyZQs2b94stXuoiJA0MYVbVyL0ysokanqNHfphCoWCmJqpuDCW63Q6JcuJ2VWJRAJbt25FLBaDz+dDS0sL6uvr4Xa7EY/HEYlEhCBQMdFDciRE4XAY69atQ0dHh4SYWIGZXqh169Zh48aN2LJli8wlU/nZD4zEkOFGfnDotYF4H/WiiryvrFtRXXdH79WlV3qmmmUqPNswYcIEPPnkk/jCF74waGOw2WxYtGhRv4e2hhLGjBmDJ598EnPnzh3R1zkU8Je//AWnn376bh2jp15puVwOH3/8MQDg6aefxnnnnYdp06Zh8eLFA95b7fOf/7z8/dprryEajWLatGlSy41Yv359hSfmpZdegs1m22P1oT744AN88skn2LJly06b9o8//ngEg0HMnTsXY8eOHeAR9h/6JDyU3uizYN8rZm/V1dWhpqYG4XAYHR0dsvAy64cqCwlGPB5HZ2cngsFgRYE7PT2atVlYyZhelpqaGtTV1WHvvffGPvvsg/Hjx2PUqFFoaGhAU1OTNJ70er3w+/0VCyTVI4ZZaLzW07QZnmIdIKPcYDOdTkulX5IXEjmazOjLIdEhkeH/NptN9qPxmYSJNXCoko0ePboi1AeUPBPNzc2ibvG83M/pdMrzVLGorhmGIU1II5EIgsEggsEgurq6EIlEUCwWUV9fL+E3ZtR1dXUJ6SRxYq0fziHnmCEwkhX9/rOAoZ56HolE0NnZKVWUSZponKa/q7qcgOnhKS3Ce9qz0xuOPvpo/OpXv5LX3EhEU1MTVqxYgfvuu6/Pb+Umdg9dXV341a9+tUv7Op1OnHLKKeLf+eijj/Dyyy/jwQcfRCaTwWOPPYYPP/wQc+bMwT777INUKoX3338fTz31FN566y28++67/XglJVAtJ6ZPn45wOIx33313O2UpHo9X+HWKxSKWLFkCq9WKSy65ZEDGp6O7uxuhUAh33XUXEonETu3jcrlw5ZVX4rDDDhNC2d8466yz+v2YfVZafvTRRw1+U2dLByoRrAq8detWZLNZhEIhWZQYLuKNZchJ92Ww2i8L4lGVACAZU+FwWFoXMJ2ZlXyZus2MLdbDcTqdiEQi6OrqEmWGmUQkX6z9QgLD9hRULZhRZBgGfD4fxowZI14gKlwM99lsNhkji+wxu62mpkYylOhpSiaTcm7WCWKbDl4TyQEJTz6fl/R1vY0Ht/P7/RL6IpHj/On+GwBCyEhiM5mMkEQSXDZn9fv9kh1HozQ9WuwHRnLDe62rTCQxVJuqCfSkSZMAQIgmgAovD4CKukEAcPDBB39mq8pOnjwZjz766JAgO0Q8HsesWbN2O+yzePFi/PjHPx6y5MkwDDz99NM499xzJZljqOCzXGl58uTJeOSRRzBlyhQ4nU68//772GuvvWCz2XD33Xcjm83i5Zdfhs1mw+OPP45EIoFrr70WTz31FCZNmoRYLIZ/+7d/g91ux6GHHopIJIIDDjhgt8bU3d2NiRMnVig0brcbZ555JpRS+MY3voGjjjpKnvvkk0/wP//zP1i8eHHFcS644AJ8/PHHCAQCWL58uWSwDhRYrmRnkcvl8M477+C73/0uXn311X4fj9vt3uVis7tUabmhoQHAtp5SLNTHSpVsxglA/Cp64UEuznqmDx/jIqabVkmKkskkOjo6EA6HhcwwvML0bapCTU1NojSwSJ/b7YbH4xGvil74jqnpDBfpDU0ZluKCy+1YyTidTktPLBIeVmJmK414PC7EgwqP3rCUShNN0+wXRd8L1SUapIPBoDQCjcfjoqaQVHi9Xmn1YLfbEYlEpD0Fqz7rP/T6BAIBaZLK1hD0WtH8zb5kDB0CpRd5TU1Nha9GD0VyXMC2ZqQ6eSMKhQLC4bCoc6ySzfms9gP1d6G74YYxY8Zg2bJlQ4rsAKXipOeee+5uE557770XN95444AVhdtdKKUwZ84c3HvvvZg3b54ZXh0C4HvioIMOksdImDOZDJYvX47169dj/fr1cLvdWLhwISZPnox58+bhjTfewGmnnQaHw4Ff/vKXePfdd/G5z30OM2bMwFVXXQWPx/OpFn8d9GbqSKVSooYee+yxspYBpVBbT81D7733Xhx22GEDTnSIXblej8eDW265Bb/73e9w77339mvpEK6L/VkIsU/Cw/onrFnjdDpRX1+PeDwuTTPp8dANsgxt6T4SYNvCxzAH6+8wY4mEJxQKIRqNVqhEzPzJ5XLwer0V3hF6PRoaGiR8FAqF0N7eLiRIT4GmkqO3zmDqtk7OOB4aiRlSKhQKYozmdZDsMKxED1MqlZJ0bF6n1WqVugv00BQKBTFRk0BFo1EEg0EJDXG89NIAEEWH1Y55T/gclRiegy8geoIYPiKx2Lp1q/hmRo0aJeMuFAqoqalBd3c3isUiAoGA9PHSW2qQrJBg6SnsJC2cI735KytX0/ejFybUCzt+FjF58uTtPthNDA6+/OUv47DDDjONzIOM3t4T++23H+655x6Ew2GcdtppYqrnl8crrrgC3/rWtySU9f/+3/+D0+nEZZddhmw2i2OOOQY33HADTjjhBBx33HH9OubW1lbMnTsXr776KsaPH49cLleh9PSEt956C36/H6+99hqmTZvWr+PZXfCLfUtLC77+9a/j9ddfx9/+9rd+O/7FF1+Mt956Cy+88EK/HbPPkNaHH35osNQ/UFJxotEoQqGQZOVwAWV3bmBb2je/revZPXo4q7GxsaL4XyKRkP5aPAYXSqoePK8e9mA/quqUeYaIWAWYzTtZ9ZihN4bcSBa4QFNxISlwuVxoaGgQosAQGlCqLcSMKz5fLBbFcM2xsEYRCwAyXb2zs1Oab4ZCITF/89romeH1sVgg1R+SGqaRp9PpCu8Lr5P3h94ZAJKZxvYfdrsdra2tUu26pqYGbre7ouI01S9dheOc6WZxhgx1xYZEla8BnpfhPr1iNLCtUW0mk8ERRxzxmZLvx4wZg6eeemrIKTs62tvbMXv27N36sPN6vdiyZcuQVXh0bNy4cUhlb33WQlo7ek989NFHuPXWW/Hkk0/i/PPPx7vvvotMJoPvfOc7mDx5MpYsWQK73Y7Vq1djxYoViMfjaGlpwX333YfPf/7zaGtr262WDvl8Htdccw1+9KMfVTweCAQwdepUnHPOObjrrruwZs0aHHXUUejq6sJf/vKXPotdtrW14bnnnhu0auS9ob29HbfccgsuvfRSfPjhh3jiiSfQ1taGm266aVDH1dt7ok/C8/HHHxtUaphV1N3dXSFbMQzBOjf6N3O9JxOVCZfLBZ/PJ527AUidmTVr1ghpYOE8m80mGUL5fL6i+B3TrFnIkIspSQ4A8b7oGVokKwzv0J9CBSibzUr1ZIbIdNJDzwsXfRIsHguA1P7xeDxoaWmROjgApNozx9Le3o6Ojg7EYjHZjv4jZoRxPnktqVQKoVBI1B4SDfahooeJhIk1gAAIyaL8y3BbfX096urq4HK5pHGp1+uF0+lEQ0MDGhoahFQyVJjP5xEOhyuKPJJI6coa51ZP0dfN1ry/JJH6PWPpgUKhgKlTp35mPtwnTpyIRx99FAcffPCeOuUuY/r06XjppZd2ef/hRHiA0gc9QyODjc8S4dnZ98SKFSvQ1taGbDaLWbNm4fzzz8eCBQuwcuVKHHfccRg/fjzuvPNOPPvss1LgNB6Po7m5Geeeey6++c1v7tY433zzTSxYsAAbNmzY7jk9S/jSSy/FwoULsWDBgu0a2NrtdsycORMrV67EQQcdhBUrVmD8+PG7Na6BwCOPPIJTTz0VSimsXLkSL774IvL5PO64445Ba/i8S4Rn1apVBpUZLmZ6YT99IUsmk+JjASDGWbZFoGeFqdcej0cW/GQyiY0bNyIUCkl2j25iZSVhGmK5yLNiMgkCyQlVD/poSKDoBWJ4iIpLdRdzkh9eO9UJKj80LtODQzWG/cbYhJShn9raWiFRvC6SMr4gPvnkE8n2yuVyUuuHniE2B+3o6JBGorrvSE+Pb2xsxKZNm+Q49APpxRhpfHa5XFK7yOFwoLa2Vio2Uy2y2WySws4CjSSpVMlIIBnmI6nhfeI909POGSJlLR+GswBImQK9WWk2m/3MEJ6xY8fiD3/4w5BWdnTsLuFxu91455138LnPfa4fRzWwGCqk57NCeK6++mpceOGFmDBhwk7vE4lEcMwxx+ALX/gC7r777govoWEYePLJJ/GTn/wEM2bMwDnnnCOf6f2Rar2j98RRRx2F//qv/4LP58NTTz2FK664ouJ5i8WCtrY2pFIpvPPOO0OS7PSGdevW4eCDDx60hry7ZFqm10VXTRj+odcFKBnEqH7ong29zgr3Y3iECg39NqlUqsJbk0qlRA3I5/OIx+OSMVRTUyNeHLaioPrBNHbd40NvCYvfUfGIRqMSpiEB07ONmpubxbymt0Ow2+1yzX6/XwgdSROwLczGYzE7jYW1WKyQJJFqERUSeoDC4bBklW3YsEE8PZxXKltUoDjnra2tSKfTUoiQvcoYetLvC81hJHts2cHikUzRp9mc5Qno72GVaWaRkVDpLTEInfTobSgMw0AikZB6T3xMLzb5WfLwXHHFFcOG7PQHUqkUbrzxRixdunSwh7LTaG1txW233YYvfelLgz2UEY9x48ZhwYIFfZKdjRs3Yu3atRW+mJqaGtx555146aWXtkucUEph7ty5mDt37kANu0+8+uqruO2229DV1dWjT6VYLKKxsRHnnXfesKp1AwB///vf5cvrUEKfhIdp2MlkEt3d3ZKV1djYKD4NPU2aigoXKJIeenjq6urgdDqRz+cRCASQy+XQ1dUlGUUMUVG1oP+Hx2cYKBQKoVAooLa2tsInRJc507C5YOug+uB2u0WxAlDRsDOXy8Hv90MphebmZlGFmL1ElYNKBxdmj8cjShfngyoLiQPJI68vEolI9htfILqJUVQ/NQAAIABJREFUGNjWn4rkK5VKVRQFpDkZKL3Bk8kkrFYrfD6fZG6xWCNDVdlsFi6Xq6IKtZ76D0DmnfcvFArJ41RnlCr19qqtrUUwGJR5pmzLY9EzRaKjV1LmcySj6XQatbW1Mrckhv3p1h/KWLhw4YDUoBjq2Lp1K0KhEOrr6wd7KDuNqVOn4gc/+AFuvvnmIfkBPxIwfvx4fPWrX92u0OYHH3wAt9uNSZMm4YknnsCBBx7YY0r5lClTMGrUqD013E+FTZs2Ydq0aT0SHovFgiOOOAJf/OIXsXnzZgQCgYoq+EMZb775Js4880zcfffdgz2UCvRZeJBqQTAYlDoyAKTfExdkhiS4yFMp0VWWQCAAr9eLXC4nYSRmYzHUBEBUDS5ybLegt2Do7OzE5s2b8cEHH2DNmjVYv349urq6EA6HJbRUHQoh+SIho8GXrRNYywaANPzkeTdt2oRMJoNoNCrGMt2cq1d6pslbD8lQudIN4KFQSFpMsJ9XXV2dqEoMIdFozTAbCaBek4f1hFjcUFeP9Md4LiopFotFCkn6fD5RsEgKC4UCuru70d3dLcUWWS2bihnT/GnA5nEBSGYYDcw9dRDm60cPdRmGIf239LT5kQ6lFObNm4e77rpr2HhZiHPOOWe7b9CfFi+88AJee+21fhrRnoHT6cR1112Hb3/724M9lBGLpqYmnHHGGVi5ciV++9vfAiipI0uXLsVpp52GNWvWYO7cuZgwYYIQgmXLlskXJNZS29NYtGjRDt8TY8eOrShQqMNiseCDDz7AjBkzcOqpp+Lyyy8fiGEOCKLRKMaPHz+o1eB7Qp8Kj8vlkuJ/XLQJLvwM25Ac6d4NhjTsdrsoOuxR1dHRge7ubvHxUAlJJBKSpQVASA+7lZO40DRLVaC7uxvJZBLBYFC6sOv9nUgM4vG4KDRUZZhSz8whXgMVKxZXZGNRXgO34fZUf6g4sTo1U+f1Du6cXypF6XRaUtQdDgeCwSA2bNgghjo9vOTz+STExrlmCIwNUvW0b6bN02vE4pFUVgBI/y6v14tUKlVRL4j1ijweD3K5HBKJhFS2puqUTCaluSjT6zk3VM54T/X2F8C2ZqicG5I5hu7oi9pT9SgGC3vvvTd+97vf7XL9j8HEjBkzKsyYu4r33nsPJ5xwwm6Tpz0Ji8WCr33ta3jooYe2M56a2H28/fbbuOaaa5BOpzF69GiccsopuOyyy2Cz2SSdvBrHH3+8fLkcLOxMY82VK1f2Os58Pi8F/d544w2sXbsWq1atQiqVGnJEohrXX389/v3f/12iAkMFfRIepZSEXJj2rC/uwLZCg3pKOB+nskIGS49JKBSSEtYOh0O+xTPERK8ICRDVCi7CVH2oKgUCAfHnUGXYtGmTdG9nvyymXHOx1Rt8KqVEpaH5lzWCCoUCIpGINLukh4j7eb3eihR4vbmmXouG4RvDMCqkSYaSaKyOxWIIBoMy1+zcrpMB1kgiEWVdJPqEOAZgWziJjzmdzorKy3rPKmbFkSiSZDL0pZSS0B7JCL1bPJZefFA3g5NAAdtqNdGXQ0LI1xIVsXg8LiHMvtI2hzucTicuv/zyYUl2+hM33XQTWlpacMEFFwz2UD4VDjnkEDz44IM4/vjjpfWLid3H6NGjcfjhh4vKfeCBB+KVV15BMplEIBDA6aef3mN1bhZKHUzws7GvUHwoFML999+/U8drb2/Hfffdh/nz5/fTCAcOgUAAt99+O+bPn4958+btsb5gO0KfIa1EIiGZN1yo9JAHX2g6geCiTgLDhZkelHg8ju7ubvGhMCWc4QsqMbFYDFu2bBHlhj2eEokE4vG47JfP5yVVPhaLIRaLycLIEBjfLOl0GslkUkJy7F/V3NwsKdktLS3w+/2oqalBQ0ODKBkkWrpyRUMtM8RcLpeQJa/XC2BbTSL6neitYdiLY2C7DCpc9NroXiF6fah4cftgMIhIJIKtW7diw4YN2LRpkxic2WaDmV30PHV3dwuJ5Dh0zxF9OywfwCw9Fp1kA1Kas2nMpkGarxGSUhIbEjaSQN3jU+3v0Zu2AhjRHp5vfvObw26RHwhkMhk89NBDQ659w87giCOOwNFHHz3YwxgROOqoo6CUgt/vx5QpU3DNNdfA6XTi5ptvxvLly9HS0oKrrrpqyLYiAYCWlpZ+L174s5/9DP/3f//Xr8ccSEyfPh0/+clPBnsYgj5fLUwnpg+E/gqSH1bV1TtnA5A0ZwBiDmYmD6vzFotFUQ3olcnlcohEIkgkEuI/4SJHUkWDLX0qzOphlhhDKYFAQIoZ6kTD6/UKsdq6dStsNhtaW1ths9kkRZqVlbn419TUSPNMKkbs0cWaOlRzSPgYRqIyoae0Ux1hc1Uu9gx96V4azj0rT7O+D71P7M9FYsHzM2RF8lmd4s5jx2Ix6Yau1x7i2Nhrq6GhAZFIRCpKOxwONDY2VrQdoYrDbDM9y06vwVNdq4kkkiFIXkcmk5Hx6XWDRhomT56Mb33rW8MqjDOQ+POf/4yzzjoLv//974eNSRMohagffPBBnHjiiXj77bcHezjDGqFQCAsWLIDH48H8+fMRDocxZcoUfP/734fD4cDkyZOHvBp6wQUX4K9//Wu/HjOfz+O///u/ccYZZwwJFWtHMAwDX/rSl/Doo4/iggsuGLQ0dWKHKwjr5HCxYUgI2BaGqM7qYbFBPU3dZrMhEokIyeHCy5YKbKdAsyrDUADkGz5VEkqFJBUej0cUEWY36QoMu3wDQCwWk0KKQEkFam9vRyAQEA8OyVssFqswFTN9nTVl9B5ZekHEmpoaeY61gqgSMcxH8kiyQz8QQ3isaEz/EFPfOS9UU3RixNYMDH+xnhHN0vT46Jlzevd4hr3YJ4yZbzx3XV1dRWuKzZs3S+VsklDeAz2VXDexk8CSKHE/voa4LUNkwDbPT3WX4ZGCO++8E/vuu+9gD2NI4ZlnnsGpp56Khx56aFhlbbW2tuKMM87A//7v/+62n+mzjClTpmDRokWYM2cOnn/+eXR2dmL27Nk48sgjh8VCDwBLly7FsmXL+v24H3zwAe655x585zvf6fdj9zey2SxWrVqFU045BRs2bOixZ9ieRJ8rCH0detdzffFlqIs/rJ/Dxd/v98s3eC6UVDxIbOhbSSQS6OzsrDC88rwkBFarVQriMYRC8sEUb72xJxWabDaLeDwuKgnHS9WGqg5JQiwWw9atW5HL5STMRaIDQNQGFs9jBWmn0ymhIc4bqxZXf3unR4ZkiBlYnZ2d6OjowKZNm9DZ2Slqh97CggRAJ5+690UvFcCaOQwPkWRwPLxXDDUGg0FEo1HpWq57q0hkrVYrEokEtmzZgg0bNkhtId4rzolOZJjZRfKpF3PUfT0MAVLl019n/dmYbqjgpJNOwuGHHz7YwxiSeO6557Bo0aIhZ3zcEb7+9a+jra1tsIcxrHHRRRfhpJNOQnt7O5YsWQIAFU2MhwOWLl06ILXDnE5nr5ldQw1OpxPz5s0DAJxxxhmYNWvWoI5nh6ZlfuOurqGiN4LUwzMMs+hVc/XChUzvporBsFM8Hq/wAXFhrqmpETJAcsQ2BNyGxMwwDMlSYkdvqkIcLxdgVhbW+3vx2PX19bDZbFIbh0UGOT6en3Ohqzschx624Rxwbrg9CRfJF687Go0CqCScJG5Wq1VCS/zRM5p4r6iyMKuKBIOZUz6fT4r+Ads8NHa7XWousbIy/U4AJBuLDT+DwaCk1DscDpkrZm5xbJwXvVYJyRnDlPo86en3TFsfaQqPy+XCWWedNexS0PcknnnmGSxcuBDLli0bNuGtxsZGXHnllWaq+i7A5XLhe9/7HiZNmgSg1MD4wQcfHORR7RrOPfdcOBwOPP/88/163P322w/nnHNOvx5zT6C5uRm/+MUvBlXN7nMF4aJJXwkJEL9xk8Dwhwu63g1cr62ib6erMqzzoptc3W43Ghsb4fV6UV9fL+niehVnLuwkWrq5VU/Jps+IKgMzwGhw5jj4OGvz6IqJrm5xIa823VL5IlHRlSmSGqpBJE5sasrzNjU1we/3i5rCsJT+m+fUzcX6GJitxsc4fs4DPVdUcPSwpO47CoVC6OrqEgJC9Yxkjz3GgsEg2tvbSy+oMhl2u93wer0VFZc5h9VElK8pXQ3S25dQJeS8jhRMmTIFJ5xwwmAPY8jjueeew+mnnz6sjMxnnXVWj0XwTPQNl8uFq6++us+KykMVxWIRq1evlv+PPfZYvPfee/1+nlWrVmHvvffGDTfc0O/HHmgkEglRfAYDO/TwMAOHngrdY8EQA4kGyQGL0VHpocITj8crunfTfKv3daJkqYeeIpEIbDYbWlpaZEHXWzIAEOWEyk1XV5cQnkKhgHg8XpFZ5nA44Ha7JZW6UCggEAiIZ4kmXh5f78EFQMgL54PXr2clcbHm/syCYndzqkZUv/L5PHw+H0aPHo1MJoOtW7fKdlQ69JCiXr+BYSJ6cHw+n9w7no8qCSsw02zM4+hhMqpKhmGgo6MDtbW1UmGbhIUkzeFwSGadHsZkOI/HJkHkeQBUtIzQQ5gksCTHVLJGEq6++upBrxUyXPDMM89gxYoVwyaTraamBhdccAEuueSSwR7KsMLChQt3q1P5YMIwDKxduxYTJ04EAMkg7m9kMhn861//wtq1a/HGG28Mq5D4J598IlGYwUCfhEcPy9BUy0WQagwXdn1RprqjqzCsU8PMqkgkIn2v2JOKyhGL7ZEsKKXEbMuwVTQarVhEqd5Q7eDYPR6PLP4Mk/CYJCvs8cWU8Hg8Lj2svF6vZHaRJDAbjMX+6DshCWJhRJISEkaOrVgsSuiHoSo9HGaz2dDc3CyFGUl6OGb6hNjuIh6PSyo7Q1oknWwNQgJKdSkSiYhSxntJxYd/6ybpbDaLcDiMxsZGCcORjLCIYzAYFE8SiSfvI8N4nLfqPmu8PwzD6Vlbutl7pKC5uRmtra2DPYxhhauvvhr77bdfRa+koYyvfOUrgz2EYYeZM2dW9N4bTrBarZg5c6b8P2bMGFx11VW46aab+v1chmHg/vvvx9FHHz2sCM8hhxyCW265BV6vV2rx7Un0uYLo/bB0VYdkQm9vQLJD1YKLGxtMcsFyOp2IRqMSctIXTC76zKCy2+1SzZdZRvF4XJQfhpdisZjUDKpOoU+n04jH47J48poYHmElZ32hJemKxWIIhUJSs4YqTDQalerDPB8JgG6srQ6J6V3gOX9c5N1uN1wuFzweD1wuFwKBABoaGuB2u9HQ0IC99toLEyZMQFNTk4T62EOLpEwnaLxWhtD0zCdmjtXX16O+vh4NDQ1oamoSZYp+KT3MRNIaDAYRj8flXuu+Khaq1H03TOnX24/oYU5gG6HmPpxrvgar/VAjAUceeeSwWbiHCoLBIH72s58N9jB2Gm1tbYMq3w83TJ06dUQ1zGWG70Di97///bBqu9PU1ITTTjtt0EqM7DBLq6equbpZFkCFksO/SWQsFosssmx3EA6HUSwWRaVglhTJA7envyQejyMejyMSiUgRQoZe9CwfkjNgG5nggmm324VYAJDFmr4YEjIaqJkenk6nEYlEkEqlEIlExJekj4/hmWrViOfRDca6UkOFhMSI6d11dXXSd4zZUfQbcf55XVSv2PaCGWFs0MosNIa6SIioUnHcDocDNTU1qKurE4LJewtA7gnVr2QyWdFlndfMOef10/ytkxwqNSTKOqHWSTTvC9WwkeLhsVgsOOywwwZ7GMMOVqsVhx566GAPY6fh9/tx5plnmqb0ncTYsWPx17/+dcQ0Yd24cSNuueWWAT3HySefPOTrEREff/wxstksvvKVr2DGjBmDMoYdxghIbLgw64+RAOkSJBc+LuAAKsynNCgzhZspzmz8SX8IM6FYN4chMxIiLv5URhg2IqkgyWEYjkX7XC6XGJLZj4sLLsfNGjFUG9i8kucFIKGaajIDbMtcI7tnSIjzxrlhVWbWzmF3egDSHZwhJZIk1gPifjy+YRjwer2S1aaTCGbA6a0z/H6/nJfzyurVrHEUCAQkRMdtSEaofPH83Fc3qwMQ9YxZfrzmaiVMf13pyqJOykaKwmO323HhhRcO9jCGHYbjvJ1yyilmivpOIhAIYNGiRSOmZ95vfvObAU1KYMHY4YKXXnoJf/zjH3H++edjzZo1gzKGPnUlLtQAKr5d66nWeisAfnunz0VvJ2C1WoXs0Ouihz64ANIrxLYIPDZTqLmg0uejh0lokGYGlL6oUk2oqamR9GmqHE6nU0iK1+uVx/SQG1OnqSh5PB5Jl9fnovrbiW505lzoch7HzzAcf5P8kRhRoUqlUlIEkOoXK1nTo9PY2IhYLCaFHdn9nUUfOZdUifR0cT3sZrPZ5NupXl2aKgw9RvX19chkMnA6nUKY6COKRqNCoJjppStzSimpRK2/XvTUeiphI7XSsomRjVmzZuHjjz8e7GEMadhsNhx//PGDPYx+xZ/+9Ce88sorA3b88ePHD6tMwPPOOw933HEHWlpasHLlykEZw04pPHpTRz1jpjodXK+oS/WBbRf0Tt0+n2+7Ank0snZ2dmLDhg0IhUISztALFrJJqN5SgiqE3+9HbW0tmpqa4HK5JG3a6/XC5/NJJ/N8Po+amhp4PB74/f4K7wxJDbOP9NYZDOFQQqQCQxKiKxicKz2ziKoTVTGSO46foTnOK4kQzdGsPExiQSM4qx6vXr0aW7ZsQTKZRCqVkh5azF7bsmULwuEwIpEINm/ejM7OTlGwqKIxDEl1juTH7/ejqalJ6huxCnUikUBXV5eQIN3UDmxrIuv1erfLbNO30StXV7eaIPkcKQrPSMSNN9444rLo+gtnnXXWYA9hyCOfz+Phhx8e7GH0G1588UWsWrVqQN8TzDQeLrBYLDjxxBPxr3/9a9CyF/8/e1ceHmddbs/MJJnMvmWydKEsFYpCL6gXQUDER7zgBRRKRXbkcpEHAUUtqyCgULmAiqDslK1QaCmVRaxQkALXwuVSlkpp6ZKSpE0m2+xLZjJz/+g9b95v2qZpm8kk6bzP06dpMvN9v++baX5nznvOeQf9yEz9TXF+C5kfbTPmp3BmtRAYcaOiEJWBdwRM3FBtNhu6urokdA8YaBtR48KNky0xh8OBSCQibaB4PL5FNg1ZGLZWXC6XwVIdi8XksZMmTRLtCDU61CXpoaATJ06UcRIEMMXsA8GNvmfULQGQPButMyILlUwmhYXhgFWCIACSGE2WicGCnNpOQTiBJQDJGeKaef9jsZiwWASAfB2L2TUCM75m/M/MHCG+3hQ1u91u+ZoMDbVSuk1JJof/3hogqoCd0V1r1qwp+TmOO+44AeJjqZqamnDIIYfgnXfeKfdSRm1ZLBYcf/zx5V7GsBU/UJeqTCYTpk6ditdff11CGsdC7bnnnli9ejWuuuqqspx/UIZHtzn05qyD6gCjMBeAzF+ieDUajSKTyUh4oNlsFrcVsNmVtWnTJhlpoPVCwIBbzOv1wuPxoKmpSfJlOJSUbSxqXIABa3pxe4StIIIeBhVGIhHYbDb4/X7ZgNkmqqqqgsPhQENDAzweDwAYND+8DwSAZC2K51ZxQ+fztQ5HA59CoYDe3l6EQiF0dXUhFosJc1PMPjEhmceJRqOIxWICtDQQzGaz6OzsRCQSkVEcAIQt4uO05ZztL2Yfud1uBINBuc+5XE4E3RQus+1I8TP1VLw/fE14D9jyIvulHw/A0PKq1O5Zxx9//JgEPJMmTcLMmTMrLdlBqqqqalw52t599100NzeX7PjcY04++eSSnaNUZTKZcP311+Oss84a8XNvN2mZYEJrdQAYslT0Js3n6fZMPB435NFQf8NNe9OmTUin09IOo42d4mWfzwePxyNAg2wC/+b3LBYLPB4PXC4X3G43nE6nQYdEhoVARQf4MWunu7tbWCoCnkQiIfoep9OJWCwm10lRMV1QbKNpKzgZFV4TN3w9roL3loGDn332mWhmNLBhW4vgqlgfRCaNoJKOKp47lUpJXACZHFr6CZaYJE0QqcPxtO3f6/XC5XLJY7u6ukQIDmxmhiiU5nsGGGDdqMHSDFzxwFH+x6YIu1KVGot12WWXIRgMlnsZo7r++c9/4qOPPir3MoalTCYTTjvttJIy0+++++6Y1YbV1tbi3HPPlT19pGrILi1qSrRFXTuUaDvWYl6LxYJYLIZ8Pi9uIADibjKbzWhra0MsFpPjcjPl1HKHwyHAiu0Yan5cLpfB3UR7O5OGyfh4PB45BtmabDaLbDYrc6k0cOAwTObZcB3UzkQiEQPLRRaHbSdtU9dJw3wcz8e2IMMUGQhIFsputxumsxMUaHs8wwbJjlRXV8vAU6YlU2Okww3ZhmJ4IVOc9XXwnlMPpcdt8DV3OBzSJuzr60MoFAIA0V2RIevv74fVajXMzNKT4wnqdMK2trfrZO9K7X7l8/kwYcKEci9jp8tkMuHzn/98uZcxaiufz6O1tXXMzEvbXn3/+9/HDTfcUFLA09LSghUrVpTs+KWub3zjG5g/f/6IBrBu16VVHDjIT9z8FM6NUVuy2YKi6JbWcIIMildbW1uRzWYl4Tefz8Nut8swTwqWCVS0e4prYAuGP9fAiyCKmiGz2YxoNIpsNiuTw8m89PT0iO3bbreL8Jm6FpfLJcxTbW2tbNY2m83QdgFgGGjKe6D1LzqskWJknbNDcMbWEIGcdqRR1OtwOORrncvT1dUl1nNqesji6JwkjqqoqqoSEbbdbkcqlUIikRAgabVa4Xa7Zd1ut1vWRaDFYMhNmzahrq5OXlO2xHQAIWMA2L5iaSDJ91Dx98d6nX766aI7q9TQ6qCDDsKxxx5b7mXsdJnNZlx++eVYsmRJuZcyKiubzeI3v/kNFi5cWO6lDEs5nU48+uijJW3D77vvvjjssMNKdvyRqMmTJ6Ourk5mMZa6hjQtnWCG7AtbQTpRmY/TriayMWxFcAOrra1FW1ubbLR9fX3SCuKmyM2S9nZtETeZTGK5JvNBOzVHV2zcuBHAAGgDII4qsiYEQgQiDB5kmyuTyQAAOjo6MGXKFEk3JovETyOc/E5NChko3UojsCKwoBZKt5u0voVaBV47WZJCoSBMCyeWE6Qx54jtLFq+a2trZaCozjrSQnQtRGbkN8Guw+GQ1lcgEBAGiq91f38/bDabRAFEo1H5N1kpgkC24jRjQ4BHQKYDHPm+4/txPNRhhx1WmaG1G1ZjYyOmTJmCDRs2lHspo7JWrlyJFStWjCkR7mBVSks6AMRiMXR3d2/z5ytWrMDee+9dUvH0rtbUqVMxe/ZszJw5U+QapaxBAY92SHEz1xudno+ks3W4afNr/pssh86IKRQKhpbU1gTI3GBNJpOMiQAgWTBkQaxWK1KplLAcnH+lRbAEUwwtJMCipZyMRzgcFv1KoVBAKBSC3+83aHuo2eHGXBygx+NqMTMZD45g0PeGIIRCYVrus9ms6JH4mpjNZmFwGPq3YcMGQzuOzA6ZrqqqKgFCBGi02vO10JECGkwyu6i7uxtNTU2SrcNj8V719/cjnU4jGo3C6/UKONRgl6wd16SBM9kqYMCeX5zVVKlKjcWaPn06jjrqKDz66KPlXsqoK4ZKjpeUZQC4/PLLEQwGsWDBgpIcf5999sG//uu/yr/feOMN+d07Y8YMg/FntFZVVRUCgcCIfZgdFPAkk0lxVm1Nr6ITdAkqSOHxa7a9KN61WCzo6ekRBoSgRjMM3Dy5AbrdbhHwms1mtLS0IBwOG0YasAXk9/slhK+YdSI44KZOoGY2m5FMJg0DOMlQ0X5O3Y8GbmS6TCaT6GAIFni/qN3RGiWCOt5D6lz4n93v90tIIO8NAQnvN4eiMsV648aNcLvdojtiiCEAgyg5GAwKqOO1EXBQV0Q9ENtP8XhcZnX19fWho6MDJpMJkydPFuGxnl9WW1uLXC6HcDgsSaAaWPFcOqU7m82KpggYaGGxbdbf3y9i8bFcTU1NmDZtWrmXUaky1RFHHIEnn3xyXG3sw1GFQmFc/P9mffLJJ7j88suxatWqkp3jrbfewrx58yTn6fDDD8djjz2G008/XYiA0czusL70pS/hG9/4Bl588cWSn2u7s7S0E0qjMAIF7ZwhA1TcBuPjampqxPFUVVWFxsZGcWoxRFDPYKIglgFLqVQKq1atQjgcNrAA3BgdDoe4iJgDw7lRdCVVV1fD7XZLxo3P5xO2huGDbKPl83kBT7w+Ag5qbfT3yEjoXBk+hvdPZ9AQIOgAQjJBHARK0FVbWyutKwIyfY9tNhu8Xi+8Xi8CgYCsi1oim82GxsZGTJgwQYaFUhCuwSnXREE1NUaRSATZbFaCGnt6etDd3S1rJnBigrVujdEOr51WeoyEdmVpJozgOZ1OIxQKoaWlZaff6KOl9t13Xxx55JHlXsaYq+XLl+Mvf/lLuZexy3XGGWeMqbC4kaqLLroIixcvHhMb9FBq+fLlWLNmTUnn/xUKBXR2dsrvSbPZjHPOOQfV1dWwWq0IBAIlO/dw1pw5c0pq4dc1KOCh0JjtGYKSYrcWmR62OMheAAPhdCaTSQLz3G43vF6vgCPtyKGTRwt8u7u7JSXY6/WKCFq3zjgLKplMoqenB4lEAt3d3eJ+4mDMxsZGuFwuOJ1OeL1eVFVVwev1wul0yi+i6upqOBwOaWHV1tbK0E2n0ymOM7aL2H7i9bItRdChAZ2mGQlIKIAm6KFOh8cluKEOhvoehgbyPtIhR6cYgRHbZclkUjKRCEB9Ph/8fj+amprQ1NQEr9crTrZkMikAjpb2eDwus7h6e3vR3t4uoy+og8pms/KLi3lLvD7dviL4IYPF15J/yBK1tbVh5cqVWLdu3bC98Ss1vFXKmUEAEA6H8dhjj4murlLjq6ZNm4a77roL3/72t8u9lGGp/ffff0RmqL3xxhuiFdVlt9sxefLkkp9/OOoHP/jBiDkj/zDPAAAgAElEQVQYt2tLZ6tJO7TIhHA6NwARrGpNB5kWbuR0/bA9wo1U5/IQbKRSKaxfvx6rV69GJBIR3YfJZILX64Xf7xfxsQ72o6PK7/djv/32Q1NTEwKBgFi7yeZYLBYEAgF4PB6xsbtcLvh8PrjdbjQ0NIjTq76+HoFAQNggrpPZOwQ3ZKsIYrSuRa9RD/YkW0SAwkwgPpb3h+CArBVbXHSqcdSDtn3z/HSycYgoW1WFQkEYIz7HZrPB5/MhEAggEAiIC02zXrFYDOl0GrW1tTLCgtZ33Xaj5ooAVlv22U7TrI4GQ6lUCqFQCOvXr8e6devk+sZ6TZo0qdxLKEmdeuqpJc9Jeuqpp3DFFVeU9BylLpvNhuuuu67cyxh19cQTT4xpF56u3//+97j66qvR2dlZ0vM4HA6ce+65YzKMU1dNTQ1mzJixQ8+prq7eKTv7oL+hqD1Jp9Oiw+GmowPpyCKwRaGzZhjix02XtnPqXwAIM8FBmW1tbWhubjbobQAIE8JQQTIve+21F6ZMmYKGhgbU19dLG4wOJDIWegBmfX09AMgnRra5rFYrPB6PADqfz2fQqTBPhmwU2RMNNujI0onCLAIZnTDM+0Gdk05kpa6GIu90Oo1MJgObzSauK15DTU2NAEG2whKJhOHeE/jp149sFcXPvE7OPSMDVmwfJ/Dp6elBS0vLFuMoeK3akq6ZMM1OUUfFZOiOjg6sWrUKbW1tonUqJT08EmU2m3HzzTeXexljtgqFAv7617/i448/LvdSdrpMJtO4Bb27UmeddRacTme5lzEs9ZOf/AR/+ctfcN9995UUxNXV1eH9999HKpUq2TlGqvQeOZQ688wzsf/+++/weQYFPNRzcAMk+KFQt7+/X1gNnUVD5oPtHn5id7vdhlaGyWSCx+MR1iWdTqOlpUXmabFNxYnbdGGRTQgEAqirq0NVVZWBxeAGTiFsZ2cnwuGwAIPOzk5Eo1FEIhHU1NSgvr5e2k1sY9FyTlBCVqq+vl5ACTdtsjj62hjuR+2KLtqwyYYRJJKtoSvL4/HA7/eLCDgSiQjICIfDaG1tRU9PD/r7++F0OlFfX4+pU6di6tSp0nJie4mJxzwXh7ByvAZTqjXDVFVVhbq6OtTV1cHv98Pv9xvaY7FYDLFYDJlMRtpPDDvk800mk4gRyVSR4dJ6HTrnkskkmpubsWbNGhF28t7s6H+KSo2/WrVqVUmFoCNRwWAQfr+/3MsYVXXDDTcgHA6XexnDWjNmzMBee+1VsuNv2LAB1dXVePzxx0t2jpGoVCqFa665ZsiP/9rXvobW1lasX78eNptth1p3gwIefiInS6GdOHrzIRPEx3IwJrB5408kEvJ9trLomiJbk0qlsHHjRoTDYWGKCAh0Fg1ThOvq6pBOp5FIJJBIJEQjY7PZJCyQAESLhjmugps0dSV9fX2GYxOoUIhLVxHFvDabTdo8evwD21BanMyWjg7S49+8Nm7+nFvGtlh/f7+Mmli3bh3Wrl2LFStWYOXKlVi/fj1CoZCMkMhkMgiHw+jq6kJ7eztCoRB6enrQ2dmJ9vZ2dHR0oL29XWZt8VwUJGezWWF43G63tKHIVBFgEqRaLBbDvent7ZXXmvegOItJu/0IGoHN7F0ikUBzczM2btwo4Izn53PGcvH1rdSu1WOPPTam2b5vfOMbOPzww8u9jFFV3/zmN8edmLujowP33ntvyY4/depUZDIZzJw5c0zPGayursa//du/DfnxS5cuxVe+8hVceumlsNlsOzSyZVDAo2+idmsRsBS3J3Tysg6Lo92YgmaKet1utwTaxeNxJJNJ2XR5LjqKfD6fCIs5PVzraAig2H5i+01nt5Dh4ZgIttKcTieampoQDAYN+hYmK3OMA9s+ZGH4fWb60Havp8XT0s4WmE5L1iwP183zhkIhdHR0oLOzU6anE3xRnM3zAZDhnvF4HG1tbQiHw8hms4jFYkgkEujr65NEZwKT3t5esS/SiaVbZ1qMTds8gwidTqesh2GN1F4ReGrrPjN/9LgIvkeY8Nza2ooNGzYIyCEbpS3tY7kKhQJ+/OMfl3sZY75ef/31Mf9eqJSxjjjiiHEXxmmz2Xaq7TLU2rBhA2677Tbss88++Otf/1qy85S6qMvdkfJ6vfjmN78Jp9OJ9957b8jP266Gh5kz+hO6bi9wY+f3iNK5ievRAGzZ6BZYNptFIpGQkDydWFxXVyf2bG3ZNplMYimnmJh2aU4S13k13KCZUNzf3w+HwwGv1wufzyci7Gw2i+7ubkQiEQCQ/4A8Jx1H1NvwHujEYt43bvJka3gcane0HoqbOQFKOBxGOp02uLPIkjCRmvk48XhcQGYymZSEaT27ikwNQap20fHa9BBUvj4EYWypUWPE18ntdsuYDbatcrkcenp6DJZ43bLTqdGaxUmlUmhvbxdWSCdrs8aDaJnBkJXavWu8sRmV2rLq6urwve99r2THZ2RIT08P7rjjjjHJHn/88cf4+9//joceemiHnhcOh7Fo0SJ89tlnO/S8QXsEmikBYPia/+YmSteRthrrlGbqNAAI4xGLxdDZ2SmsAJkXsjY6dI62d7ZayCaxnaXbb/l8XkY2UKuSTCZF+JpIJBCLxWSqOm3tJpMJiUQCkUhERLoUKGcyGdmw2XLj9aXTaQFk/ORJYEgLuBYrcxRDIpEwsDZkY7Qzjm01ioCpuaEWho+zWq3C5BAomM1meDweYY1SqZQIndnG4+tH9xmwmQmj4JkuLZ0YTXarurpapqXrOWmJRALhcBgNDQ2GBGfef+3moi6sra1NWmMER2TtCOjGQ7W3t2P16tXYd999y72USpWxfve732HRokVbtRRXanxUb28vXnrppRE511tvvYV//OMf+NrXvjYi5xuumjZtGnp6enDTTTfh/PPPH/Lzbr311p1q4w0KeOjmoXZHj0LQGzu1CWRiuHHp3B5gADCZzWZ0d3fLwEyOgHC5XMKaVFdXi0CarSuOKuAxGAzIY4TDYQEd1JZwndzgKaolmNq0aRMSiQTsdrsAAYIxm80mQXoEYRoM2O120QJpBowCXG7s/MONnOvhPSYg4mgLAhCCAw0aqRvSWUgej0cAlNPplPYU54WxpVhfXy/gMZlMyvd5j1OplIjMAYheiRPVyQzpdOZ8Pi+aKVrx2QYkCNQDXnntvE98LB1aul2qgc940b+sWrUKr7/+egXw7ELl83lEIhFxWo7F4oeLSm2uSCQiH4zGSz399NM4+uijsWzZspKfK5FI4J577sGhhx46pt5bjJKZN2/eDj1vZ/O4BgU8kUhE2kQ6H4VaGbIs3KCoVwFgePOS3QA2a0F6e3vR09Mjmh26iAg2KKbluQkGKIileyuVSqG3t1cGmgIDQmuuheDGbDYLGOA5YrGYtN6YucNgPm09t1gsslbqhQAI08Pj6wBFLark/dFCb95TsiPM4TGbzTJMlOCRuUChUEjE1MzAqa6uljW7XC6Zck5Gxe12i6CZ95KzsXT4owZRTF5mO4wMGUEoQQ5ZN37NtXPd6XQaPp9PWBwK1gniaIOPRqNIpVIyEZ6vGwDDQNGKS6tSwGY6+9prry2pILRSI1uvvvoqLrroonGTtAwAxx57LKZOnTpi55s3bx723HPPMRd98YUvfGHEQhIH1fD09vaio6MDkUhE2AbN1gADE9DJ/NB5w01cz5Hiz/Rsp9raWng8HmET2J6pra2VRGSyGna7HbFYDM3Nzejq6hIboxYPU3dE0Sxg3DQdDgfy+bzY0qmF4Xndbjc8Ho/Y0T0ej4ibCQYcDodBy8TWFu+LZkH0DCwCImp7eE6XyyUsCXNv/H6/aIwmTZqESZMmwefzSXCj3W4XIOl2u8WVpoEhW1Z8HkXYbD3qVhu1TrzvtbW1KBQKYjuPx+MyA007zijgJkBl1o/VapU2Iu8dheYUQpMdI6tFvRgZQgJKYHw5nDo6Osa0q2Jr1djYiB/96Ecjdr6FCxfukFixUqO7vvrVr475AD1dr732Gm666SaccsopI3bOQqGAuXPnjrnfLe3t7XC5XCNyrkEZns8++0zycZijQ/Bhs9m2AD0MiNNtGIp0CUQ2btyIaDQqrh4ejwF8uVwOLpdLnk89SiwWQ0tLC2KxmBy/r69PBLBsOen2D9dG7Qw1Nfw+gRnt7QRz1PYQnNB1VDyHiy07LW7mveDxNeDT94rr0rk9VVVVMundZDIJm8Kfp1IpdHZ2ihg7EAjAarWirq5OtEFkliKRiKQcc7QFBc7U2iSTSfh8PnFJ6fYbXze65vR/Imb66DwhansYPcBWVSwW2yLNmWCQa+HkeIIksk68bgKq8cLw/PrXv8ZFF100rrJYampqRjRQr6urC4888ggOPvjgcdUG2V3r+uuvx8SJE0XH+Z3vfKfcS9qlOvroo7H33ntj7733HtHzhsNhvPzyyztk8y5nrV27FnPmzBkxtnZQhmft2rXYsGEDWltbxSIdiUQMAXZa11OMLGkp1nOSkskkAIjeR2tJGALIoptp/fr1aGtrE7DCgZ4ERrSrc3NmMrTVapUgQW7kTHRmjg7dEtFoVLQ3DPxzu92SWMxhpnocBPN4KBDWwl4NaHS6MQEhWRbNfmkxMjVLDodDxknwbwqqNagji8U8oWAwiPr6esM6XC4XJk+eLGMzqqurZWxHMVgjiHE6neIOM5vN0kZMp9PCNpG10U49am8YRkiQw/cF7yHXTNaH94GicN4farcqVSnWU089tcMujUqNzjKZTPjggw+QSCRw6KGHlns5Q661a9du82fPPPMMZs6cOYKr2byPLVmyZETPuSvV1NSEWbNm4aGHHtpha/rO1KCAh+LX9evXY82aNVi3bh3a29sRiURk3AHZAr2BcbPkpk5wkUgkkMvlZONmC4baIIbPARAw1NbWJkNHs9mstFrI/Oh/05JOBoabZH19PXw+H2w2m9jTA4EAvF6vgJVkMolUKiXx5gQIHo9HroujLmgZJ3uiwV9xxg4F3jqrSD9HPxbAFiGGbM85nU4Bb3w8RckEoZlMRganejweuN1uYeXIkKRSKXi9XjQ0NMDn86Gqqkrs+nrCO8GYfl0JDguFggxpZVuMj6upqRHxM1t7xfogvrf0dHkCYjJN1BpRj0XN1XipSo7MrldHRwfuvPPOci9jp8rpdOLkk08u9zJGTeVyOdxxxx2w2+1oaGgY0XPvTAuoq6sLf/nLXwYFPMlkEk899dSuLG3cl91uh8fjwemnn46jjjqq5Ofb7rQ/MiORSAQbN27Ehg0bBITQ+aSD4hhQqHUbdF/RQk6rsU5fJpNAJqClpQXNzc2IRCKyOegBpTwfnVd6ZhaZB05H9/v9CAQCmDRpEpqamgwAiK00an5yuRx8Pp8ANbZqCFyoTaIQl2BGi395H5iUzD9sDennkH3RGThkX9hm433ixHcKkzs6OgRcsOVWVVWFRCIhGic9P4znpTiYUQBMsCZzlM1mEY/HpaXG+1RVVSW5RTxPR0eH3B9tzScQ0tlLWtRNrRPbbhR2swXINZLpGU+jJTKZDGbNmlXuZQxrpdNprF69esTPe88992DFihUjft5drdra2hH5BT/W6pFHHhlxrd5Pf/rTHdaDRSIRLFu2DIceeiiam5u3+phXXnllGFa347V+/fox+eHw9ttvN8xrLEUNCni01oL/DofDaG5ulhlO/FSuB4xyAydQ4ad9iobp8CIj43Q6RbQLAM3NzWhra5MEX51aTL0N2Rut3SHosdvtwmxwwCdbU2wNEVhwXRQPO51O+R7Pzc2abBCZJbZuaK9mq6o4hVozNtzAuTY6wQh29ER1upr4eIfDgUAgIICS4mq27LQTjrolapyYkEzGhCGCBEl8jtvtNoi+mUjNYEZOrSdIicfj6OzsNABGghZqgMLhsAEEa82XnkGmhedkmfr7+2V22ngRLQOQcMvxUqFQCHPmzBnx8yYSCdx1110jft5KlaZ+8IMfjPgHmxkzZuywzZmaE3Y6RlMtWLAA1157bbmXscNV6qBGYAijJbRolptcLBbD+vXr0dvbKwyQfrz+pE9xMjdPsiRsf/B5drsd6XQaGzZsEHcPN3A6gWg91xocHhuAwV7OcEM954sgi4/nJs12EYdk9vX1SS4Ngw9ZBDIEQLS181gECxQzE7ES9BTPIuPxdVsIGLDXszKZDLq7u0Vr1NbWhpaWFhkz0dHRIYNTmR1kt9vh8/nQ1NQkbTQAogNyOBxoaGiAw+GQNXIQKeeKUbfEhGQCKB6L1xMOhwU4EYAxAiCTyYhOiwCarwvBDjCQxs2vNStGxqxSlSquF198cUxPUK/UQL388ss45ZRT0NHRMWLnPPLII3HYYYcN6bGZTAbLly/HHnvsgYMPPhi5XK6k4yN2tjwez5j7P/Hggw/i2WefLek5ttvS0m4ZPSogGo1i48aNwuywjUPQo3NoKMDVU8Y5uoDDPru6utDa2moYeQBgi5ENbH/V1taKlqWurk42WgIYPo8Wa7ZyUqkU8vm8bPgulwt+vx977LEH6urqYLFY4PV6DW04fR+oY2H7jQ4iMhZknjRroXvExf1iLRDmdTP3Rs++CoVC6OrqEmu4xWIRa/2qVavw8ccfY82aNUin03Ive3p6pAVH5xRzb9iOAwC/3w+Px4NgMChJzPzEQ+bL5/OhpqZGHFcUYBN0plIpxONx0VRpIMOcpOJ7QQ2Pbuvx/UVwpJmgiu6lUlur1tZWPP7442POjlupLev+++/H888/j3/84x/lXoqhGNHBrLYLL7wQJ510EhobG7f5nPPPP79sRoubbroJL7/8clnOvbN19tlnl3wo8KC2dN020vO0+Iulo6MDEydONGhr2OIhm6LbLLQd0/LM9lA4HEYoFJLxCTqVmOF2dAKZzWak02lhGwigaA0ns+RyuQyzvLSjiI+ji6uxsRFut1sGZ1qtVmlR8d9sZ5E90eMo9L0BBtgwAFu03NgSIujTmzoAEWczW0jrpLhmt9uNUCgEl8sloIFgM5fLIRqNAtg8YI36GR6zqqoK0WgUyWRSdD+pVAqRSETusc/nM4jRqdlxuVwCRpjqzCiBQqGA3t5eyfzh1HW+1poy1onKfP2KdWBaN8X31HhqaY23euWVV8qqsbr11ltxwQUXYM899yzbGio1PDVt2jTcdtttOPHEEw2/V8tZ2WwWd9xxB7773e/i+eefx5QpU7b7XnvooYfK9n8iGAzCYrHICKWRrqVLl2LFihX41re+NaLhi9urQQEPSycBE3TwU/zGjRsls4YghqJV5vLoNONoNCpBfkzu3bRpk0GMDAy4lTwejwAR7Rpii4gCYgbvAZDwPGBgYKfJZEIkEkEoFJJNm49JJpOoqamBw+GQHJhYLCYtLZfLhUwmA5/PJ3qkWCwGp9MprRntLuJmrs/Nf1Pnolt+OseGYl2CADIbejJ8LpeDw+EQ15pOkyYYJbDk+TjzCoCBaWtra5OcIR0OSJasUCgIAGEits1mQzQaFeG6Hjja0dGBz33uc/IeIRtEwMjXhNcPwOAQI4gkU0gwOBp75ZXaXLFYDPfee29ZAU8ul8ONN964w0MIKzX6ih/ORpNJoaamBhdeeCGqqqpw2223bffxnItYrmpvb8cll1yC9957b8T/T3z22We47777MHfuXEyfPh0vvPDCkJKUQ6FQyV/zQQGPdlIRTOisGZPJhHA4jGg0KmJaVjablfYIP+XbbDZ4vV7EYjE5TkdHh2EsBDd1v98vgIOZN/w52yqa+aBehAF7BCzMjKG+hpu+xWIR1xgwsAlHo1HEYjHEYjHZqOlU0gxTMaul7dwU63KDp71abrpyTOnWF6+Fup5iAAVsbjFls1lMmTIFLS0tIl7u7u6W+0+dTTKZlCyh/v5+SY2mHoasEN1kAASgcUQEXzeyS3wvsJ0VDoeFeSHTFA6HBZBpBxvBm349GFWgW6Y6vZv6H91mq9Toqnnz5uGdd94p9zLw6quv4r333sMXv/jFci9lu5VKpfC3v/2t3MsYlcXfU6Ot6urqhvS4F154AS0tLbvl/4lCoYCjjz4a69atAwB8+OGHOPHEEzFjxgwccsgh+Na3vrXN51555ZUlZ/G3C3gIbJjlosdHcLOMxWIydZyf+NmaoehVJx6TTeBsKLq3dAAhN0napIHNbSk+F4DoSKqrq2Xjra6uRjwel4waggdaodm2oUCXYITP00wMABFhUyit3WVch2718d7w+xrc6OPyPgED+iitYeG1E/TQzUX3E/VFZFnIhLHFpUP7yK7x3nOgKF8XghzeD7IxNTU1MmpDT4unIJwgr7u723CPe3p6xMHG6yKwJJBJp9Ny7cWp03wOARPfVwytrNToqQ8//BC//vWvy70MAMCGDRvwzjvvjAnAk0gk8OKLL5Z7GaOy3nvvPUycOLHcy9jp2meffUZ0zMpgtWHDBixcuBDTp0+X/abUVayle//999Ha2orly5dv8znhcHhEnKuDNkgJFrgZ6mA9YODCOjs7RbzMlgx/Xpw87Ha74fP5ZD4TAUE6nYbdbpfNVms3KERmWa1WxONx9Pb2YtOmTfjss88Qi8XErQRsBhterxdOpxMej0fYCb1ZswVHJoEtKG60bP0kk0nJA+IcK6fTabg2Wt81yOCGT4BFFoebfbFVnUwW9U46I4j2cFrE8/k8AoGAhA2SiaNOif/mTC7a8+PxOOx2u7Bv1M2QSaMjijk86XRagKB2xhHA1NTUSCAi7y3DEGl1BzaLvdnqBIzsYXFgpQZABLsVl9boqw8++AAzZswYVWnHixYtQjweL/cytlsVgfXg9b3vfW/MJqsHg8ERdZltr2bPno177rlnRM5lMplwxhlnbPHapVIp/Pa3v0VLS8tWn9fe3o5QKFTy9W0X8BQ7ZHRriRtSJpNBMpmUTUxrLzRYokh2azOvvF6vZL2whcENW496yOfzaG1tRVdXl0ww5yyodDotjiICGW0DJ/jgurmRE6Sx9UOBs26z6LlfBEI61ZnMh54sT7DCItDSbUEd0sdNnmCHx+cQ07q6OsneYZ6O0+mE1WpFKpWC2WyGz+dDfX09GhsbZRo6AWVnZycSiYRhbIPuleugwFgsJlPWi1kfZhgxEsBut8Pv9wt4tdvtAk4KhYLQ05qx0eejkFzn8uj3HCMJKi6t0VMffvghTjjhBKxZs6bcSzHUkiVLBv0kOVpq1qxZFQA/SK1YsWLMphRffvnlo6r9ns/nMXfuXCxdunREgPZ1112HG2+80RAimEgk8Lvf/Q6bNm3a6nM+/fTTbQY4Dmdtd7QEHVfAgH6HpQW3bKdoBw7bF9xQbTabpCyT3QEg1j6eS+tFqqqqZGBnOBxGa2urtEj0QEmCm1wuh1AoJOvhxsnkZGb/2O121NXVYY899kBDQwP22GMPTJgwAXV1dQgEAvD7/ZJXQ2aD19Xf3y/gjfok/s2vKeQFYBB6s4XE+wkMaFbYuiJQomWfrTyCRX7f7/dj0qRJErLI8EYyOmS8otGoADECPbbByAjxvhBg8XoTiQQSiYSM1aBmidqe2tpasfh7PB5pZfHaya7xOnndnLnF+6IBJ2d7kQEjc1j5VDw6Kp/P4/bbb9/mp7VyVi6Xw+zZs0f1eyWfz6Ozs7PcyxjVxUyv0VRvv/02rrjiikHfW8uWLcOrr746gqsaWi1btgzHHHMMHnnkkZKfq6amBvvttx9++MMfbuGyu+mmm/Dcc89todVhDEupa7u2dLaVKBTWL7ZmaZLJJFwuF1KplHy/2HJMZqWnpweFQgEejweNjY0IhUKGEQps67ANEo/H0dHRgUQiAbPZjFgsJqCBwILnoLWdzA2zY2pra+H1emVQJTd6TkangFa7qvTkcqvVakhh1oCOzjEdIsh7oHU+BAzUDxEYkO0BIBohsk78WjvYivUxe+yxB+LxuIi0g8GgiKbpfKqpqUEgEEAikUA6nUY0GjUEI5KhI+giQOJoCq0nIthkZlEikZC2o8vlQiwWkyyhxsZG0V0xY4jJySzeS820aUE1XVrjqTZu3IjW1tYRnTA+XPXmm29i3rx55V7GNuuVV17BL3/5S1x//fWGD2ijofr7+3H99deXbezAWKnq6mocc8wx5V6Gofr6+nDCCSds0yqfzWZx8803Y8OGDSO8sqGV2Wwesd83xx9/PA455BBks1k88MADws4/99xzsFqtmDdvHp544okRWYuuQRmeTCYjC+XmqodeAgPpvGyDUCjMjV0Lea1Wq+hDTCaTWJ+5wRI8aWYjHA6jpaVFQA43ZAIDuo244brdbjQ0NKC+vh5+v18Ghfr9foNTjOvgxhyNRtHb24tkMolEImHY2DVYIwOj23EAZO6U1qgAMITt8V5yU9e6nuJBoloUTqDBTz0UUROsOZ1OARYcxQAMJEmTYeIcLLJHBIXaSUfgyWRl3RrM5XJIJpOSjK1ngJFh4utGRxxBlQZ4OpiSjKC+bv0zro/5ReOl3nnnHSxbtqzcy9jhIrszmgEoM1N6enrKvZQtqqenB3fccUclU2qQOvroo/HAAw8YdJujoY488kgcccQR2/x5oVAY1fqxdDqN888/Hx988EHJz0Xd6RVXXIEf/ehHhvbW/PnzsXLlSpGuxGIx3H333SVfE7AdwEONDD9la+GyFiYDECYmk8lIC4Wf6NkCod6G4mWLxSKtEofDgQkTJhjaLJ9++ilaW1uRTCblFyxZgGLmZerUqQgGg/B4PCLEzeVyMmqCepX+/n6Ew2GD0Jhrpa6FoIUD2Kjf0QJiDinVrSe24SgQZtigblNRmKwDCwniqOHhGnROj3Z4WSwWmeTOieiBQADBYBAA5PqYNVRdXS3MFluKHo9H9ECcZcaWGdmoVColbTId9MhMHM7mIqjhH6/XC5/PJy0uBiQSmPL6+brovB8A4iLje08PpB1P9cYbb4w5XdLbb7+NpUuXlnsZ261YLFg60cgAACAASURBVIZTTjkFra2t5V6KVGtrK0455ZQxOdhxJGushoy+8cYbo/5DzGeffTZigurGxkbU1dVh5cqVOO+88wy/vzdu3Ih//OMfeP3113HxxRfj7bffHpE1DdrS4sZDDQU3YD0yQLeAKHi12+2GGVQMtkulUujr64Pb7YbJZEI8Hpdp5w6HA2azGXa7HclkEq2trWJTIxui5zBRIFxXV2cAV0wmJgPC1hKZKc6X0nZsipOLBbaxWMwgTiawKRQKokth6CCZC2CgfUVGjMfXehWCHS3uLt7QtQaIz2PLj+vu7+83uKG6uroEROqQQ67b4XDAarVKPpHH4xHNEYOf9JwzjvMge0TAydEUWt+ktVtck91ul/vCtp8eM8H7wMdGo1G5X/yTTCbHJeB5+OGHccUVV2DChAnlXsqQKpvNYs6cOQiHw+VeypBq6dKlOOOMM7Bw4UIEAoGyriWfz+Pss88eE2Cx3PXWW29h5cqV+PDDDzFt2rTtJhqPlmK68WivK664AqFQCGeeeWbJz2W323Httddi3333RU1NDe68804Am11bN954I04++WQ8+uijJV8Ha1DAo2P+ye6w5cC2DjUrZBR0oJ0O5dN5Ppy5BGCLSeeJREKGYjqdTmkxkRngxHOmMOv5WNqazY2d+iM6jex2OzweD4AB27wGP2yzxWIxWK1WeL1euN1uETyz5VPcemELT7NP/Jl2YgEQkKP/TZaDz6FuRWtfdN6PTqYmcODcq3Q6jVQqJaCDYC4cDgvLw7EQbAUyq4f2e46M4Dm5Fr7uZrNZWn9ut9vASJH18Xq98p7RM8ZMJpOkQzNFm3/ozqMOSA+NHW+AJxqN4rrrrsMDDzxQ7qUMqT766KMxs1bW0qVL8d3vfhfz588fdO5RqevVV1/Fu+++W7bzj7V68cUXcdttt42a0RJDqQ0bNpR8FtRw1Nq1a9HS0oL29vaS/5+wWCw48sgjMX/+fIO2KRaL4bXXXsPf//73kp6/uAZ9N2nWhOyE1u8AMDAJ1FtQe0Jakht5NpuF0+kU8S9nYumZWuvWrZMwQGpFGhoa4Ha74XA40NjYKEmctCqTgWBQHh1WFCdTj8IWVF9fHxKJhIya6OzsRG9vL7LZLMLhMDo6OqT/TwaCoAwY0OIUszMELmRu+Le+V7qVQ2CkGTMen2yKThom0AEgIEY7mQBIa00DTfZPCS5tNpvom9jWor6prq4O9fX1cLlckjlEMEO7uBZqM5KArUG73Y6amhp4vV5pn3Hduh2qp8cTWLGlpUMOyQqO1+ru7h7VfX9dra2tBrH5WKk333wTp5566ojkfGytFi9ejNNOO63SytqBevrpp8fUe23hwoU499xzR8RptKsVi8Vw9dVXj+iA1i996UvYb7/9tvj+SL/G2wU8BC7a3k3rMP9NPQyfQ1ZIO20oRqZIOZFIGHQshUJBBohSaEuQYbfbEQwGEQwGRbDLFhhbPGQ3uKlHIhHE43HR/xCscYNOJBKiDdEbrs5PIIApDuLTFmltJef3ikW4GvxolkjnzdClxPvNdo4GCxrksFVXW1srTiweh20maqkIgHhNGijF43EBq1arVdZD2zjvLZ1WZM7IiJlMJmFj+Jq4XC5pgbH9RVaHvxD09XFMiNYw5fN5ud8ElWPp095Qa9GiRSPWv97VuuKKK8q9hJ2upUuX4k9/+tOIn3fJkiU4/fTT0dXVNeLnHssVjUbx0ksvlXsZQ6r+/n5ceumlo1IkP1hdeeWVI3auvffeGzNnzhzSTK1S1qA7CIWrZBu0y0jrRgAYBMBs7dB+TDcVP/2zJUZAUFtbi7a2NkSjUdHqcHOtq6sT1w8BA1kKMhFsOQGQURd6gyfQyeVyCIfDiMfjwjDwcVyTxWIR4EMhMTfgvr4+AW8EIWRGWDrkkK0fLczV4zkAGHQxbBnpe8ONnkwIAAMYpOaG+iKKmHl85u5Eo1EJEuzt7UVvby/C4bCAWgIQApra2lqJGGAWkdPpNOQk8TWx2WzieCMTR+DG69LtO7b/2LbTM8l0WjdfNz5vLH3i25H6+c9/PqpzYwBIm3ks1x133IHFixeP2PnS6TTmzp075jbC0VCZTGZEguiGo5qbm8ckC51KpUqSkv7pp59iyZIlePXVV/H888/L91asWIGTTjpp2M+3I7Xdj8zMYmEIoXbPaJEqP6lrUTNFz9y8NGvADdtqtSISiaC7u3vzgv6f+fD5fMKaEGTQ+cMgwkwmA4vFIueJx+NIJBIClGiNLmYtAAhrwbwf6lkIkOha2ppdmm0q6lIIFggIdRI1r1Xrc6hp4b0DBqg9AiXNfukIAAI+nldbyHl/PB4PAoEAJk+ebIgIIMsSjUblPLFYDGazGclkEslkUoBJOp2We0XQwdeEbFQulxMtFvORyLAVJ3TzOjjkla8rc4g040UWMZPJGAIPxyPDA2z+ZbBw4cJyL2PQeuihh0ZtvshQKxwO4xe/+MWIgct169Zhzpw5I3KusVxbE/pWV1djxYoVuPHGG8uwoh2rTZs2jUlXWUtLC2bMmDGsrV4SAQsWLMBLL72EffbZB/39/WhubsZBBx0El8s1bOfamRp0B6E4l+0c/elb58sAAwMwk8mksCNkDlgc/UCLNkPqurq6xH1lt9vh9XoBDGhZ6Lai0Fdny3AtFosFPp8PgUAAtbW1grhra2tlYjjbVgQ/FMmSadA2cbZZ6CSjrZpAhOvgPdFBf1qrw+8R9OiZWRRL0720tQ2d95g6G65Xs11cB3NvPB4P6uvrRbzN7B2um9ZzgsWOjg5D+5HtPoJbakxyuZyM7iCbx3XznlKMTKCswY8WcDPXSDv/eC947kQisVVQON4qkUhg7ty5IzI8b2equbkZt956a7mXMSz1/vvv48EHHxyRc1166aUjcp6xXCaTCX/4wx+2+H4ikcC9996LJ598sgyr2rE67LDD4HA4yr2Mnap3330Xr7322rAd75ZbbsFXvvIV3HPPPfjDH/6Ao446CieffDL++Mc/4sEHHyxLW1nXkD4yczPUmSHaIs62BTAwFJItHObu6BA9ghK6oTi/yuPxyHn6+vpEBEvrNXN7ksmktK2KGRyOrWDmC4ELAQYt8Fw/QVMmk5GWD2303GgJDsgEadaFfxN8ENAQvBAM8FOMdnBpUMTnsFXITBz+DRhFzfy31tPoYaBsj9GhxvXoth1BE+9Zd3c3YrEY+vr6EI1GEY1GkU6nJZ2ZDAzdbGRzdHo1mTDNbGlRNsdGaFebtudr4ETAwxpvLi1dixYtwkcffVTuZWy1yJyOh8rlcrjvvvtGxFpfESlvvdgSBzZ/IPX7/YZgOl06n2s0Vj6fx5w5c8Z02/LWW28dlpYcJy6Q5Ojr60NXVxeee+45/PnPf8Yf//hHfPe7393l8+xKDQnwkN3QGxI3MU6x5if3TCZjSPHlUEu2QTKZDPx+P4LBoGh8yOrokEO6i8jQ1NTUIBaLIR6PyyyoVCqFWCwmbRG73S6bPsXM4XBY2iJMA7ZYLFsImZkGXFNTI7Z1YADI6FEW1CuxdG4MhbnU+/Dc2uXE/8CaaSKYoSBZ5+AQmHD9TqdTJqoT7BSDJN4Ht9sNYLMIkI8jmGNrq7+/H4lEAslkEuFwWIILeR0WiwWxWEwALm3r/MXFr6kbSiaTBpBLrZOeicV7RqCndWKaKZQ36jhtZ+m65JJLyr2ErdZoXdfO1nvvvYclS5aUexm7bfn9fvz85z+H1+vF1VdfjZkzZ24zEyYUCo3K2VSstrY23HXXXWNa37Z8+fJhiZvo6OjAIYccglmzZm3zMXPnzt3l8+xKbVe0zE/e3IDo0NIZLdz86cCJx+NbhO8BEDBAFoQhgLW1tfKY4rYLzxEOh8XBRZaHxQ2VLRQKdymIJhtBATUFt9QCcbOmqJpjJdxutwAk3g+29KhrYiuJP9cCaYKq4qRqFpkxfp8ggcyHnsrO75EZoVON4xxoAyfrwmu2WCwIBAKGGVZ8XQiu9BgNAtVsNivtJbI8mp1idADvNYEhr0vnNhVb2skC6dEU1FTx2ASL+j0w3otgfjQV2dTxVPl8fsxvUmO5uru75RM/o0D4u6O4+vr68Pvf/x4/+clPRniVQyuXy4WTTjoJfr+/3EvZ6crn8/jDH/6Aq6++epeO09TUhBNPPHHQoa/lFndvF/Bww9EiZQCGTYvtDjqsksmkQQAMQFpBwIAjqr6+XoTD3NwpIqZmJRqNorOzU6afM/OFa6CQ1263w2QyiWOLdnQGEbpcLhmgWVdXJ2wQGQduvC6XS8AHmRzddqFNXc+J0m0nrptf8+e0rxOQaNcRHWMEOTrrSM+aoqVf30vqgti+0vO1gsEgXC4XXC4X/H4/UqkUUqkUMpmMON8IXLgegqJ0Oi1CZp0twXMTlOrAR4Iyslt8/dme1CGC1C3xunS4pR4nwRqv+h1da9aswWmnnTaqtDwPP/ww/vd//7fcyxj2ev311/HMM8+Uexm7Zc2cORM333wzDjjgANjtdqRSqW22cxOJBP72t7/hz3/+M+68885RB1J//OMf4+ijj8bixYvx+c9/vtzL2elatWoVnn32WfzpT3/aJVBSKBRGdTjpdnN4AIi7RluIuVlRH8KNWdu99WBRAJK1wmNwbhZBC2c1sXUTiUTkkz6Pz3PQrcXgPLI/VqtVAJXL5UIwGBT9D1tB3IQJdshw8DoBGOzk2q1FcMA2lxY+AxDBsxY/8x7ysTq4UKc8szVHgFSsJdJ6KYZC0h1A9qSmpkZAjtvtxoQJExAIBDBlyhS43W6xqPf19cHlcsFutxu0Nrq9pF9jBjJSg1NTU2MYCEqQSkaHbUntXtDp0Pxaa3f4NYXT/Dnv1XjW8LBeeOGFUaXlGe12+Z2tQqGA2bNnG5jiSo1Mbdq0CZ/73OeQyWTQ1dUlgbKDVXNzM37605/i008/HaFVDq0aGhowZcoUzJ07d6vBemOpPvnkE1x++eW7pJkymUz48Y9/LMYjlsVikVmP5awhtbSAzb8g+IlfB+FpwMPNjroV3Z6hSJb5K8yPoYCZLSUO6mQgXvHUcW6OHJ/AAafV1dUIBoPC/tAyTfaIa+Rk9GQyKSJbPSmcTI9mbegqYxuJj9XiLGpV9Aah16/D/qhf0eCQzA3Bgp4qTiCiN38CLz3PTAMjpk+7XC54vV54PB7sscceqKurQ3V1tXxSIjDiPbLZbOI40C0uWtrz+bzMQtP3jJ8KtEOrWNhNXRaZL92+5Dw0tgrZztLP311qsB54pYavPv30UyxatKjcy9jt6s0338T++++P2bNn4/bbb8ejjz46pM0wl8thxowZo+oDwWWXXYY5c+bgoYcewrPPPlvu5exy9fX1SXbOztbEiRNx2mmnGb73n//5n7jqqqt26bjDUdsFPPpvMi3FGTy6PaNnapEJACAzkgAI80PR64QJE+B2u+Hz+cSq3tPTs4VYWufSkNGgZqe+vh75fB7d3d3I5XLS1qGOR+fRcFp4LpcT3QjbSWQqyBZxuKbJZBK2RbM4+h4AMLRm9Jyx4hRmzXSxf02go5kz3mcdQsgWIwADyNKAh+CCYm0t/uZgVQ5R1XO3qLHiVHgeP5fLIRaLiatOr0275AjUKFDnqAsOACWg0wwS161Tpnk9Y2EY33DX+++/j8cff7zcyxj3lc1m8fDDD4+ZYajjrZ599lnMnDkTt99+O55++ukhPWfNmjW47LLLRo1zy2q1Yu+99x43v6ey2SyuvvpqvP/++zt9jJNOOgnnnXce3nrrLdx3332wWq3461//CovFgunTpw/jane8hhQ8CAyMmeAftrjYCqEWhJt9LBaTDZDaDR1+l0gkJGOntrYWEydORE1NDXp6esQtpQdsMqxOJw6TjbDZbDIbiy0il8slIEbn9zARmOApFotJ8nAoFEIsFkMqlUIikUAqlZIWl2ZjNMDYWttKZ+2wRcOfkxFhW4oAjqBRZ/ZQs5RMJqUVFYlEEIvFxDKuB4zyXFpQTkG32+0WhoqAIxqNCrNTVVUFj8cja+K95aBRYDMg6ejoEOs6WR6CYH1fyW6RBWI7U4sTNQACBtyAyWRyi1aKZrjGe6XTaTz88MOjSsszXuvll1+uTDAvYz399NNoaWnZoff6eeedJx+ey11r167FOeecg97e3nIvZdiKOtNdqccffxyrVq3Cm2++iZtvvhlXXnklLrnkEtjt9mFa5c7VdjU8mpGgnkazLvl8HqlUyjCvieCIgICf5q1WK6xWq9jKydp4vV5D2m46nZbxBlo4TMaioaEBXq9XJp+bTCYZg8CwPbPZDLfbLWsuFAro7u6WkL1IJILOzk7RsxDcRKNRYTEI7BKJhGF+Fn8mN/H/Bc60w2tdEDd5beXXwl9t0SYwoDOKbId2cRFMkEXhEFaun2vWeic99oPtK1r6OYne4XAIy6bBl9frFXF2X18furu7kU6nEY/H0dvbK8GMFKtTzE3rvxYnky0jwKH7jJodCs3T6fQWjJjOetodasmSJTjllFOwadOmci9l3NfPfvazMZmUu7vWxx9/bMiEK0exrTYewyVXr16NhQsXYuXKlTt9jGnTpqG6uhpf//rXsWrVKqxcuRKFQgHnn3/+MK50x2tIfl8tLuWmWhxEqK3OBDPU+2SzWdmEmePC1gmzYsgcBYNB+P1+0dLokKrq6mr4fD4R9Pp8PthsNgE3er5TPB5He3s7QqGQMDYM1AuHwyKIJlghYNKZO2St9KgDbu7AQCAhgZlmenQ2kR6/wevi98lcEfRokbdmgYABYTIBKBkSLQYmeNNuBrbZeC1erxc2mw25XE7uC4/BKem8D9Ru8f4DQE9Pj4TR0UZNoKYTn/V1c90EaXyf6ATveDwu09G3xujsToAHAF555RV873vfw1133VX2X/DjuRg4WqmxUbfccgvuvPPOLQTnfA3z+TzC4XBJ28IrVqzA2WefvUugYDTXrbfeio6Ojp1+/oUXXoivf/3rOPTQQ2E2m/HDH/4QZrMZDz/88PAtcidqyKJl/pv2cN1GYStFi3K13TuTycDlcsFkMhnepNT4JJNJeDweATNutxvBYFBEzAAQCAQQCATgdDrhcrnQ2NiIhoYGESXznOl0GuFwGJs2bUJHR4ewOwQ9Wj9ChklbpbX9nCCCAINr1mMQCLL0Rk5Wp9hhRICkB4jqewZAmB6uQX+P7T0eR7e/tK6JIzGSyaQci4CTrwuZumg0iv7+fnR1daG9vR3d3d0G5xjt4RSIFwoFdHV1oaurS9qIFKRrcEQnHSMLNFuoW1i837qFyHTu3dGlVVxvvvkmLrvsMsyePXu3A3wjVd3d3bjuuuvKvYxKDbFyuRxmzZqF6dOnG0YXnXHGGZg3bx5uuOEGnHrqqSV1Bd1///147LHHxm3bOZFI4LnnntulY0yaNAl77rknPB4PXC4XVq9ejeOOO26YVrhztcOAhwwPN0yGEepNmS0dAAYBcD6fRzqdFjakqqrK0FYJBoOoq6sTUS3dRfX19bDb7ZL3wtwdtkK4lmQyic7OTgkpZA4P2yZ0XjkcDsOICC2I1kCHAIHMjgYzZH0I+MheFW/Q2u7N8xHg8NxbEwETkPHxdDRtTcSsQw55bg1C6WTLZDIiIudrycGrAESorN1qvGatV0okEoY/kUhEGAgtRmdIJMEi2wZkgvheoU6JQFT/EmPtbi0tXblcDr/61a9w7733lnsp47IKhcIuU/iVGtnK5XJoaWnBiSeeiOeeew4nnHACFi9ejNNOOw033ngjotFoSRx4hUIBTz311C6JesdCMYttV8tms+Hiiy8WWcT06dO3cHCNZA2qTNKfyoGBYaKJRAI+n8/wM1qqdeAc03sJcLQbx+12ixiXgMhut2Py5MnI5XKIRqMyaJRWd4IKpiZHo1HE43ERzTIkjynNzPkhqMhms3C73bJOq9UqrAgwkKGjQQH/EDTx2NTsEBTx8Xojp5hbAwYCFQq4Acj39Eav3V/anq5BlLbp042mHV8A5HUg08LXw+12o6enR0THBE9cE8eDaHaKbBhTtwlEo9EogAGxG/VWbLnpkEftQuPrr0XKXCfff8WAe3etvr4+zJs3DyeddBIaGhrKvZxxVxs2bEB3d3e5l1GpHai+vj689NJL+Nvf/rZFy3evvfbCCSecMOznfPrpp3H22WeXPTF4LNWkSZMAAMFgEHvttRfMZjNeeumlsrgjh5S0rJke6nioy9BBc8UAiZspMGCfpoDVbDZL75ybIVmixsZGNDY2iqLbbrfD7/ejvr4efr9fgANzYdjG4UwsbQWnOJkAgIJdvX4CnGImhvegurra4ELTP6MDjUwJwVkmkxEwRgDI6eO8Xi1M1o4trofn0ACJ4Ezfd8624vcINHgPqN9hoCMDB51Op2ittL5Gu+R0wKDOGkokEujq6pL7wpYhYEyOJhPGgaW6rcX7RsBIV5q+7koN1Ouvv47169eXexnjtn79618P6/Hq6+uH9XjjsXw+3y47gramb3vyySdLoheZOHHibqOnW7JkSUmCHr/97W/jgAMOGPbjDqWGJFrmJqUZGrZyCADYUjGZTMIEFIMiJh7X1NQgEolsMSGXx3M4HNK64oRyzokiy6Mt59qKbbVa4XQ64XA4EIvF0N3dLRoTMiDc/MkWkenhtVAfQ1ZDj4IgcKG4ltesGRsABoaHgEYnGGvAQjDB/0g6bJBsktbq8BcEj6EdTWx7ARAtDoXBHJ3BwaNOp1OYKtrd6aDTOUMEPhzZQRBHPRffE0TsBF9a3G42mw2Ah5ogvkcoYNYOMw08d9d2VnHtal+9UtuuVatWDev7bM6cOTjiiCOG7Xjjrerr63HJJZeITnO0VWtrK37zm98Y5tvtu+++0qIf70VzSynq9ttvL8lxt1c7FDzIr7WGh8yKDtvr7+8XMZfb7RYxaqFQgMPhkIGE1NRQv6I1MBQjE/hwY6aQli4kjoTg1/xDZqK6ulq0KzabDYVCQVKImZ5MAKSDB91utwzkJJAqviec+0UAQQ0M10CnE0EKH1sMtugsIzgkcOG0eIIp3WIiS0JGSwceAgOzqpgrROanurpa0qz1uck45XI5sZuTRSMwZRAjQR/t8DwvU6y1bofibgrcGW9Apk8Lrenq25p2rPh9uLvW/Pnzy72ESg2x6urqsHDhQhx11FHlXsqoLH7oLVU2y+LFi/HII4/sNIg966yzcNVVV+HLX/4y7r77buTzedx3331b1RiOx3rnnXdKlo5st9vLMmpiyLZ0/bUWlxa7bnSGjB7poJ03sVhMPs1zQ9cCYgACDvS0cmDzJ/1MJiPCYSYH+/1+mbzOx1PDQ1aDoIqiZQIpAhePxyOCaQIfAjKCKLIROlzQYrHIOgkouNET7JCVIXtEgENgxsfxZ9qVRWDCVhRdWtQ3UVysreFay6Mt7BQaE3RpwTKvmW25bDYr903b5anf6u/vRywWE/Di9XrR29srk9X160ZWS1vu+X5hke3aFrCpAB6gq6sLixcvLvcyKjXECgaDuPXWW8u9jFFZzOmqrq7GiSeeOOxsQjQaxc9+9rMd0tsUCgXccccdmDVrlgiTV61ahWXLlqG/vx8XXHDBLrfgxlIVz8QarjrggANw5plnluTYg9WQhofqr7lRU8ejJ14DMIAcbnLc/LTLCBjIhyGToh1NdrsdXq/X4M4hY8MNnoBBpwVTXGwymURU63K55D8Wp6kT2BAQBQIBVFVVSRgeQRiBEVtxvAccw6BnP3HD5vd5fdp5RME022EEJ2RRCK70veL59MwsbYnXomvqmsiEEVAw3TqdTqO3t1eYG7asdIp2PB5HOByWf7MlpZ1jnDjPayCTl81mEQqFDK1HtvfIAFZXV4vFna0upjfz/ur3nNYt7e4VDofx1ltvlXsZldqBcrvdItys1EBdcMEFWLt2LdLpNJYuXVqSLKRsNjtkHUpfXx+uuuoqzJo1C7fddpu06P1+P84666wtJBi7Qz3zzDNYt25dSY59zTXXjLjObcjNyOK2Ap06ehI6rc/UamgwpEXNWh9CRsNutxuC9fQYiXQ6jWQyKWJfANLKyefzAlrIxpB90a0qUmicJK6t6axMJmNwVOmsG7JJbDOxyDjxfmibOjd7nVWkRcUUABOsaZeVDkHkhk8AqdfHoasEZQSE+lq2Fn4YiUSQzWblftfW1gpgYStMi7G5JiZZUwPEtfN5bE1xlAjPS7aLids614giaA3W+DO+53an0RLbq+effx7t7e3lXkalhlj77bcfZsyYUe5ljLq699578cADDyAUCiEcDpfkA000GsXMmTOHBHq6urpw2223bZG67XQ6hel47rnncMoppwz7OkdrcZxQKYoBtyM5h2xQwFO8yZDdoeiU+g2KUwEYNnoCIGpgmJtDloLsCZ0+TqdTABDbM2QydMvF6XQKWOGxtWWd87VSqZR8ugoGg3A4HAKCmM/DY/D5bBERUFD7w7ZXcbuK94Xr1oMvgYH0T52WrLNtyFTx3ukWmGaXtPuNbjGKsfP5PGw2G+x2O+x2u4Amsi86dJA6HgDCRjHlWD+XbS0CEbbxCEior5owYYKAPe1I43vDZBrIbtKOPYIYCqZ1cKMGxRr8VITLm+v999/Hyy+/XO5lVGoH6sADDzR8UKrUyNUnn3wypBEttbW1W7iH/uVf/gXHHXccfD4fAOD000/HV7/61ZKss1z15S9/eZs/6+3txZ/+9CfEYrFhP++zzz6Lgw8+GDNnzhz2Y2+rdlhurrNhdCgfURpBUaFQkBwetm2y2azM3WJ4IAEAAwmtVqswOrRLU2tDrQz1NkxeBiD2Z2DAIUUBsdPplEA9rRXSIyIISLQji+4o7cAiQ6M3b1ZxC5AslW7JEGTxmNz09eZenNGjXV78W2tz9KgGLU4mM6WdZHqGmW6F6WGfnKwOQNKY9ZwxpmHT1s4RFWR5LBaLjO6gJkhb5yk4J2PFsBNNOwAAIABJREFUVptOmS4GgZUy1qWXXornn3++pOcoFAqGESXjvUp5veeee65smpUa+XrwwQe3+4HJbDZvVUf0ySef4JxzzsH999+PbDZb9vEIw13lcsmdcMIJOOaYY/Df//3fI3bOIQ0PZWn3jJ6VxTaJDsTT9m0yCvweN0xuujo3h0CKLSCyCbSnE4jYbDYBUNFoFIlEQsTQFPNSe8JWGNs03JyLwZu23ev2GzAAQgiAdNoxgZW2sGumh6CILSdu/LzHmtLjMTSYIWjS9J+2qtP5RFEwAabZbBZHVvG5aOmvra1FPB4XTVIsFhNg5nA4kM/n5bEEkmRziifI8x7G43EBQQ6HQ1xYPHdfX58EG3KWF9en33vbcmtVarOW54knnthintBw1sKFC3erkQufffYZ/uu//qvcy6hUCWrKlCnb/f3h9Xpx7bXXGtqPH3zwAaxWK6ZOnYpkMol58+aNmkntu1p0D06ZMmWbj9ljjz3w0EMPweVyDfv5b7jhBvz+97835M6VunZoeGhxzgz1OgzUo1MIgLSHyDgwWZebJsPqdKZOIpEQoZgepcDNj3oRq9UqfVbqTKjx4YBQOoz0RsxWGTdoTgxny4VtND0lneBHM0IEH2SGNJuiGS4dBEiGhY8hCKQWifdWi4O5Jg7pjEajAu50C4jgQ+cCMScom82iqqpKsolsNps8ltHhBJMaWPLcPp8PNTU1AnKYn0PROpOtye4wjoCJyXw/5HI52O12Ye0o5ta6Ib6mvIZisF1paRlr3rx5+MlPfmLICRmOKhQKWLBgAS644IJhiZcfK0VgXoqyWCy48sorS3LsSm2/HnroIfT29m73cWS7+YEc2MyAnHzyybjyyitxySWXIBQKlXq5Ja0LL7wQU6ZMkZiRvffeG06nEwcccAAOP/xwedyJJ56I6dOnl8yVdv7556OhoWHYf38NVoNeCVmX4vaCdmFRqMq2C9sYPp9PQu8cDgdqamok1I7AwWq1Shsln88jGo1KK4xtLLZauEmydUUmQ+tcCAAIojiOQoMLXkc8HhdBLnN3XC6XQUcCQEZDkB3h9RPl0zGmJ/XqNhcZIq1FIVPE5/NxBEl0ffX09Bi0Pjw+HVhkf/TxGODH4/EPH+d0OsWxxfurwVsul4PD4UAkEkEymYTVaoXL5RJQS00ONVwEXg6HQ94LfFx9fb2A2nQ6DZvNJiCIYm/eDwK8Yt2O1o1Vasu6//77kUwm8eCDDw7bJ89FixbhrLPO2q3AzkjUtGnTyr2E3bba2tpw66234uabb97mY+bPn4/m5mbsvffeOPjgg1FbW4sFCxagqqoKJ510kvwOXrNmzUgtuyT15JNP4umnn0Ymk8HPfvYzNDY24pVXXsGBBx4Iq9WK//mf/0FfXx9CoVDJggeBzWL+G264Accee2zJzlFc22V4tO5FO5q4cRH0cBPU+TF0JZFRINMAQMYXEMBEo1FDOjGPRUaCbzY9soFAhzofHp/sEpkShun19PSIg4igy+PxoLGxEV6vFxaLRQTQvAYCEJ0vpBOU2S4jQCJTwqBBHa6oN+3icQ0Ec1wbNxtm1RBU6nES+mexWAyxWMww6JTP149jO8ntdouIGzC67vSICTJtZIfcbjcKhYJY22tqauR8xYAoHo8b9En6vmqROHVKxe4srT+qgJ5t1xNPPIGLL754l4WF7e3teOKJJ/Af//EfFbBTgtJun0rteDU2Nu6So+fBBx/Ea6+9hkKhsNVBvF/84hdxzDHHYNq0aVi4cCG+8IUvoLm5GfPnzx9XkRiRSARnnnkmLBYLvvWtb2HixIm44YYbcPPNN2Py5Mm45pprAADLli3DW2+9hS9+8YtYu3btsK/j8ccfxy233DLsxx2shpzDw38Xt14IAmhH1oxMNps1uIx0ojAw0LaKRCKIRqMGJoNtGbZCGLhHRoeMBtkginipQ+F5otEowuGwwTLP8RWNjY0IBoPiTiLLoYXGOi1ZC5Z1m0q7k/g9usj4NdtZWpuin0fAw3vE+6hzcrS+qdjpROCQSCSk9UWAw2Ol02l0d3cLmKTbjetm/g9BnRZwU3tF8MQ18Z4lk0lh0KjPISAGNmuOdPuLrwOBpx7AWjzLbGt6nkoNVKFQwAMPPIDzzjsPixYt2qHWHxnA3/72tzjhhBNwxhlnDIn6r9SO11e/+lWceOKJ5V7GmK0DDjhgl1jMUCiE73//+7jmmmtgsVjwwgsvGETq++yzDw466CA888wzcLvduP/++9HV1TUcSx91xWsFNpMILpcLPT09iEQiWL58uTyur68P77//Pm655Rb84he/EMkCsOvjfs4880w8+OCDso6RqEFbWlqPsjXwAxg1NE6nc4t2DkGRDgjMZDJiC8/lcohEIuLOYtuDxU2VScNsx1AozJYV9UHxeFweoy3rFotFRj8QQPE8eninzggiCNLgorh9RYZLzxQjSNKJ1HpSOEs7mPR/5GLNEAFWPB43ZNoQfBFY6fYiNVO6JUYQSXBUKBRgtVoFVGkhMo9HFkfPuOJry5YWZ3Jph5XD4ZCJ93Q/9PT0AIDot6jzyefzhqGh+v3Fc1Vq+7VgwQIsXrwY+++/v8yq2XPPPSX0rqenBx9//LE8fvHixXj88ccBbJ4btLtE5g9WbW1tSCaTJRt3UKmdK5fLhRUrVuyySD8UCuE3v/kNLr30Uvzzn//EnnvuKXEja9asweLFi/H3v/99XE9Dv+CCCzB//nzMnDkT8+bNw+TJkzFhwgQAmzsU+ncE6/7775cPxTTDPPDAA7jzzjuFfDjooIOkgzPU2muvvXDSSSfho48+GpGhrKbBUFogEChoC7a2V/OPy+XCxIkTEQwGZdgYs2/cbjc8Ho+Io6xWq4hpOSU3HA4jkUgYgvTIiPBGEqSwKKAlqOCGzTYKmSGCIZPJZBgvYbVaRfxMJ5QeHkp2g88l6OLfZJlYWphM1xZt+GRHyGbRng0MOKWKmaJkMomenh709vbKm6B4xhRfC7YMuT6CnKqqKmHcgIHsHp2PQ8s5gRsBItkWHlsP/ySYBCD6HK/Xi0AgINduNpvh9/uRyWTwuc99DmazGXV1ddi0aRNyuRw6OjrQ3t6OTZs2IRQKoaOjA2vWrBEWiSCN4EmHFIbD4bLSPCaTaUwppw899FAcfPDBAIDm5ma89NJLZV7R6K9TTz0Vfr9/qz/zer345S9/OSgI1xldxfXSSy/h5JNPHtaWYaFQGPf/JxoaGhAMBrFixYphPe6ee+6J2tpa1NXV4c033xzWY4/2CgaDeP755/HlL3/Z0Cr8+OOPsXDhQlx//fVDAiFerxdHHHEELrjgAlgsFhxzzDHyM/4+H6ySySSmTJmC7u7uYTOmbOv/xKCAx+v1FrRwuVg8Sx3NpEmTUF9fD6/XC6fTibq6OjQ1NaGqqgo+nw+BQAA2m00EvrlcDjabTVxQZHd0G4XJw9TVaDDEdejxDdzYuVkTzFBXorNv9HXoURi8Lu2oAmBwm+XzeUk25masW0rU7/DfBDKaKdI2fG7q+jmpVArhcFgcZLz/ejyFttDTrk9mh443Pq6/v18ykcgksdUYDofl3gObf1mTSeJ95b1kzADbWRxMSus7X99AICBjJyZNmoSGhgbYbDZ0dnair68PXV1d2LRpE1paWhAOh9HW1oZ169YZWmSA0R3Ie9jb2zvuf7lXavSW2WxGIBAY9DE//elPcfzxx28RYgds/uXe1NSEaDQ6bGsaz4DH6XSisbFxzAuFR2NZLBbMnj0b69evx0UXXYTm5mZkMhlcdtllSCaT6O7uHtJxyOBzT9PkxMUXXywtxMHqww8/xNlnn40PPvhgl66Jta3/E0P2m23NJsyNSNujtduIuhqKlvv7++HxeERbwxA7jn/Qkd48Fm8kMBAuqEEC22IUQGu2giyMFhRrfQxbXUSxTFbWmUB0LhWfU7egNJCh44yPYxqyZrAIhAAYbPxaJ1RbW2sYRUF7OR+v9UJcOxkairh5z9j+IzikYJzjIdgG46dOt9stGUvMQuJryfVHo1EBWpyOrpkqPUKC95cjLzweD9ra2gwtxa0xWFrHU2lrVWo0VD6fR2dn56CPueqqqzBnzhwcd9xxuPHGG2UES6V2rP793/8d/f39OPDAAysDWIexzj33XDz66KPo7+/Ho48+ilgshiVLlmD16tU7dTxqR1n661/96lf46KOPcO2112L69OnbPMby5cuHDewMVtsFPFvTVOjq7+9HPB43bM7cuLiJks0hE5LL5RAOh+XYbJ2wzObNAzQJqKgnIQDhughYNCAqFrfqFglLszDFIwwIgPhvgieCKj5Ggw1au2mX1xZvYAC86fvD4+i2XLGAmZZAAhEySNo1x/NowTUACWbUM8c0S6dnbmn2iroaTrOnO43Ah0DI7/dLi4zH8ng8qKqqEm0PX5dMJiNuu+LUaILl4traBlHJ4anUWKnVq1fj008/xQMPPIDrr78exx9/PKZNm4a33357i1lNlRqo6upqHHzwwfLB6pNPPsGSJUvKvaxxVU8++aT8zh3uFmFx5XI5LFiwAHvttRcOPPBAfPvb396CIU0mk5g1a1ZJ18Ha4UQh3Q7iJqlTh5nFU+zWoviVuhZm6PDxnJXFfBieR2e1ADCIyYqBDNklPUuKf3g+wKiH0RoRslJkpEwmk0Fno1tUFCSTxdDn4vH0qAXtVuJ1857odRAQADAIuPVYCf1amEwmcZnpTB/a4fla6VaRbh1qVolWerYc+/r6JGiQVnndKtQANp/Pw+/3w+l0oru7WxKbKW5mi4sibn4K0E4z/tGvqRZcV1xalRpLVSgUkEgkMGvWLMyZMwfPPPMM7r777t1qXMeOFtn/hoYGNDY2orOzE83NzeVe1riqUkyl316RofvOd76DY489Fl/5ylfQ1NQEABJkOxI1KOAp3oC0S0frKwhudGuL7AYBAbUgNTU1aG9vN7A2/NpkMsHtdm/R2iCDwdYHN0gGF5Jt4catRa56vXqCNwARFvOxOrGYAlwN7ggkOKpBJ0sDAymd/B5ZDrIrtLtrfQ8BFu+Fzq3Rk+E1GOP1UOOkR04UzzTTX2vgQJ0Uf85zk1lLp9OimdItKTJZfH012+RyuWSiOgeC6mBGPUfM4/EgkUjIdWlmcGvi7Aq7U6mxXB9//DEOOOCAcZXnUorK5XL45JNPcMcdd+Cb3/wmfve73+Hdd98t97IqNUz15z//Gc8///wWH2BHyiG6XYaHmyRra5+y9QaoNTYU0WYyGdHPdHV1ia6FbAEBClkJOogIbAhqdOuIYEWDHQqJgcFbcFp/pP8mKNB2dD6eFnKt8SGgIsggMCCwInuiX1wtjgYGAEpVVZWhNVXMnJEJ0iJutsTYomJrULeu9LF0K4/PK9bJaCeZdqTRnaXt+wSYWrvE+VxM12ZkQSaTkcwkPTuLgIj/1veJ18L3QaUqNZZrJGy346V6enpw+OGH48MPPyz3Uio1zFVO0L9DLS3tZtKlN2e2LChG5s8JZJLJpGhHuFFy46NGxmQySUuF/2YLRYMAYECITPCh9ShkcwiQiudaFbegyGhwzXqgqNVqlZ/RTQQMZOYQ3Oj7pDNrWDrUT+fhMN+A10f7Ps/Pqe9ak6RdZ1rbpK9ZMz0EcwQ7PJZmxtiC0+0x/pvAQzvhgIFf5FoIrgEjLfJkxJjArF+T4vvEe6tf20pLq1KV2j2KeWbnnHMO7r777nIvp1LjpLYbPAgMtGr0Jg5gC6aDDAUD8NgS4td8DNtR6XRaWAqr1WpoV3Hj1loRLTQm6CkOzONzuOlqVojXpEGKBjzFTI1mX4ABZKrZJs2o6NA+fV94TK6JQEQzG/r+MTlah/lZrVbR9JBR47HJ9uiWlZ4bplmxYoapUCgIO1QsCtd292J9TzqdlteCRTs8AWsxANLtquIQRg3MituoFf1OpSq1+9TXvvY12Gw27LXXXli5cmW5l1OpcVS7NAaVG6weC4D/a+98XuOsvjB+Jk0zk5nYQERdVSwWha7cuOyyoIggRdx0IRTcibpy4d8h/gkFcdNNBenKRXYKLUipWIouWrqw0vyYTDLJJN9F+dz5vLeTNEpNvh3PA2GmM+/c9773Hb3PPOc550SUlgZOYX7llVeKkZXQitWL2r9h8mMFxZlIzp6qwyL+HESCjZYQGQUC7avh84To3JSTDuwQEs6DMoWyxSNKkzOrTFIgI860gpgsLi6W6+LRBJRrZd2d5WXSVZt+mQeNXSFDqDiuOcR5er1eWSNS1V2g0O0oIDouCInaR0XpujVFHa46yLicSCSmG8vLy7G8vJwhwMQzx6EIT/3FY+O27yVi3CyU0JW7obfb7bh//35RE5yl5ZCJ1QsTB4dtnDYOqUKp8JxtTo54vJHajGtiE9E0GZtsmSSgxvAcEkUKOITFilPE2HgM0asJkE3NqE42ZfMapmqrRDY6Y+y2smJyScjRNXtmZmZK+AzlhXR2jo0Y+2p8HGvkMBbZeLUHB3KMaocviutnjlaDrPCkjyeRmG6cOnUqrl27FoPBIN555500eSeeKQ7VSytiXPQPTNp8ID9u0cDGV7d7IIRlo7EVCmcGRURRDCAaEWPvEBurzcJWBVwThs3cJMIqkInTcDhs+IpqEsE1t1qtRtjMXiBS9FlDxoqIBmmweuF1jBg72G1EdviMe1Ov3d7eXincaBXJHibGMHFkbozD+rH29jc5HMh67ezsxMbGRvR6vTIuJKzf75fPMpbJc/29c+gvFZ5EYjpx6dKlePnll+Pbb7+NXq8XV65cyR84iWeOf9QtfZKB1OpFRJQifNvb28XzYS8GBQkJZ6E8oOy4UziFCK0isInbQ2K1yZuxSZvr3jC+DdEoTKgWFN7zIy0WrCI5Gwuy4NoCJioQLHpfoXowD+oSuNKxDdhWgmgRwVrYM7S7+7iZ6vr6ekkRr5UZjq3JmAsC4rPivbm5uZKFxbry2VarVZQ+2mJwDOsPCWJNavXGZOeg72MikZgO3L9/Py5fvhzXr1+Pfr8f7777bv7ASTxzPDWkZZIzKUvLIZg6/EKohI7q9sN0Op3odDqxu/u4ui8bKmrCJKOrQyAmWLW/w3N0iKauz2M/D+oS87Nhmnm7srL9NhRyYqxer1cIw3A4LCqGM5LsMeJamLvJC6EwExzIGWsOAaIEgE3XvM6aO/Xc/cdYC/xVqHOM4zU1qbNJHNLKWg6Hw9JXZTgcRq/XK9fLPeNaJ5mW68f8H2AiMZ1YXV0trW7OnTsXt2/fPu4pJaYQBxIee1km+SichcTGTmdwyAgb9urqakmrjojodrtP+F2oQOp2ERHNcJKVDubmx9qD44rCzkKKiEbaeU12rBDZ9Fu3i4AcOEzldTAZM1mDGPA6ZIPjnZJvJYswoOeJIgVBs2GZezQajWJlZeWJ0BTnceYbRMtEkHDiyZMni4JjQsoxVqFoO0HtIghtRNMMbsLjrDl7evi+JRKJ6cMvv/wSL774YiwtLcXt27fjm2++yf/eE88cB4a0IA31L+86g4ZHNlqnp5PV5F/2qC01YSHMU6sJJhcRY0LkHlQOg3AsigakBLUHxYT5cI0QhtokXYeJ6vYOEdFQilBsTJRq0sWaMK5Dac564w+TsXt2ke2EshIRxWxsEtZqtUp4kTo46+vrpbgj4Sf+GNPXznPuLesGmXHhSYcGB4NBuZ/4uDinvUT7ecL4q0siJBKJ6cBbb70V3333XSwsLERExNLSUly8eDEV3cQzx4GExxuufTCTUBOBvb29ePjwYezs7MTa2lojXZoUZQy9ECW3aTARwRSMxwcVw74SKyCuQmzTqzdNKwn0ioIUOYzEOvB5NvZut9s4P8TOHdqpnWPSxXHtdruMYZWo9iHVafGQNMjhcDiMra2tspaEmHiEePA+x3Ms4/L++vp6bG5ultes5jj7yzV9HC70dfA6YUqu3UoQpKf2YtV/vJ5IJKYLjx49ips3b5b948GDB/HJJ59khlbimeOpIa1J5uSIyYZmNlEUADZ1lJP6eCtC/X6/ofqwKbpOjYvVsbG6uSgExFWM8aZ47jxnM3XYi/EdCvJm3O12yznm5+cbZmXAPPC1uG5QXRmaudtPxLXVJIN5Qcw2NjbKWlktIlRH41NfP+NtbW2Ve8R4jD8cDss8MRn7nrsFhtPWeY9r5T3ClrQUIaTme+3xTUaN/ch2IpF4ftHtduOnn34qhOfnn3+OO3fuHPOsEtOIQ+0gdUgrIp5QfnjfnoyIcf0Z18rB8EoGEht+xDi8402w3pAjohHewjNkP5DJ0aRqyHUV4No3YtLisXiNTdstFzx3FCkUFq7HKea+bs7pTd2KklPQCSW5kSeGZXeqdyZabQLe3d2Nfr9ffFPMvya5NTljLhHjzCsUHIe7XCvJmWmsgf1UNamuQ3kpbScS04uPP/44rl69WkJaicS/haeGtA4KI5gIuZ4Km+ZgMIjt7e1GgbtOp9Po+h0xzriyssNGzaMzjyAGEBZUg4ixhwUjbe2PYRw6t0c0W2RYZYLMMEc23oWFhVJLCKLFOrRajzuNDwaDGAwGsbm5WcZ3+jueHFQwm51d7dihI+4J56qzznZ2dko6Oz4frhdVivVz4UXCVmTT4aOy+bn+PtT3xIZy5tvpdGJvby9WVlbKOtMeIyIa56nDVpPCWBnSSiSmD99//315fuvWrczQ+o9hZmYm3njjjaM510FveoOpQz68xqNDRP6lT8r23t5eqbnjNG0224ixSdrZPxHjUIwNsYxL01E2ccbxePbEmDDY8Gz1pCZ6Nh9bbYKUMNZoNIp+v1/q9GAmhkSYEGKShojQkZzr51q4boe56gy2iHHGmZUar5lVHnxOhOcc9mJeqDbu0m7FxWoPf5AeF14kfAYRtLpm1Gte3yvf10QiMT347bff4scff4yIx/V47t27d8wzShwlOp1OfP7550dyrkOZlg0TgnqDqv0krVar/Lr3xkoIZnt7O/r9fmOzdJjDRMLzYfN20T2rOXXopd4wTd5swGVDJ/RmL4w3fJuHUVEcRmLuJhmYsiEvLmSIwjUJJmNWVbh+zg0RgpCQIeWQGCZmZ4JhmuZcEB6UIofdIEtOqfda4oVylpkVNdaHQoh+v/6uPY0QJRKJ6cBrr70WV69ejVu3bsWDBw/i2rVrxz2lxBFiOBzGlStXjuRch/bwWCWZ9L4L2VFBuK7t0u12ixpjD43r0PDvSaENk6w6ZR54E+V9SAAhF5MDjrN6YIUJRebEiROlHYb7VdnPwiPqSB12czsHZ0hBmkzgao+R18TGXwhWrX5AwEhHrz1Qo9GoVIumVo6VF+bu8ZztRgaXK1WbtDBfZ4dZjXIrjpok2x82iXQnEonpwd27d+P06dPx1VdfxeXLl+PRo0fHPaXEEWJubi4+/PDDIznXoSstW9WZZFhmg+PRNWXcVJRjXeW30+lEu90uGzwhH7w+3qzxtTjE5CKEEBSIjUM4Ozs7xStUj+3eUWzsVp28EY9GozJfgDeG9yAZTtXnfXdPZzzmW6tPECivvY3c7vbu4n9eB+YJ2US9wcNEuA0VxvfAc+dYxseYTQiOMWdnZxsqD3M0cYPwmRhyj21oNjKklUhMHxYWFuLChQuxuLgYf/zxR9y4ceO4p5Q4QmxsbMSXX355JOc6VLf0mtxYWal/0VsFICzU7/djYWHhiWwlOqkzllPQ2dwZ2/6eiKbCY7Ljz0KyvKHaa2TVimOdqWQzrdsrWBmirkytEPm6uAZIEYSN9XCxwFph4drrkJfDce79hXpm0kaYyZ4o1gDy6bpFrmWESjczM1OIEeTRaf/uBQb5cd0k+4ggPoxXq1eTFJ0MaSUS04k7d+7ExYsX4/fffy8/hAHlP9bW1o5pdomjAD+Q/238rbT0iP19PU6P3tnZidXV1bI5Es7CR9JqtUoBvLq9Q51V5KwflIL9KiZb4ajDXSYNhISoElyTC2cx2ehrkkaWl83EziDr9XoxPz9fjiNTzaRnfn6+NFBljt1ut5E1BqFzmrlNyTXJZD5kgJmoOEV+0j2FrDA/QmyTMsVYfzxItf/Jaeqsd0SUCtEYm/m+mHzWRQiB55BIJKYHZ86ciffee++J18+ePRufffbZMcwoMY34RwqP4V/wVlYgMmQpuQBdnXHlTCKOcWiDMJYr/ro+C4qESY5DM85uYuNnboznUJKvzapIu91uGKG73W4jC81rYJJiEocpOGLs96nPzzGE2yB6gOs6efJkDAaDcm018UAxs6eJ80K+fG8hIaPRKObn5xtztuHb6+8sLQCZJDsLFYgsNEKKHn+SV8v1k5h3IpGYPvz6669PqNhLS0tx+vTpePjw4THNKjFtOJDwsNHUZKdWB7xxuzLx6upqLC4uluOsxrBhEt5x6KgOQ6E0MB+Hl2rfzWg0ahQD9FjeZL2B11WMecSca7+Qm2cOh8NGhhMK0OzsbKMnGOPQVmN3d7f0rOLa3RC0DrdhguYcqEmEzmjJ4do9EVGyyWovE+StNlVDtPD6uAcaawLhqUkjBC8iGgZl7sVwOIx2u13m6u8C6+naTP5OuCxAIpGYPty7dy/ef//9uHv3bkREnDp1Kj799NM4f/58XLhw4Zhnl5gWPLUOz6SidxHNnkkOtfgzqB94O9yzyT2iUHcixgZab+qEQ2zGtSJgvwgEqjbuQq5cII9rsn/EBIp0ccZhboTiVlZWYm1trRQaNBEcDoeN62ZdCOHgu4H4kEIOcZxklrbaAVHrdDoNMmhDNiE3+3i4rs3NzcZ4hJoIaTEu9xUCx33iPcJdrBuhMK8natXMzEwhWlb3rIDV3zP+nepOIjG92N3djeXl5fLvfr8fX3/9dVy6dOkYZ5V4HnH27Nl933tqSGu/X9VWT+r6NxHxRAVfKwAQIYdCUHEYtzbxRkQjM8pmV4gMiguqRcQ4DGLixjkgIfakWMXAEBwxbpGB2uIO5bWFNnzXAAACWElEQVSJ24ZqNnvmU4e9TA7wv9hzA+GyAduZW61WqzRjjRj30uJ5nf1lsoiXpq6BxP1gXiacVow4B+fxersX12g0itXV1RiNRvHnn3+WtTPZtRdqv+9ekp5EYjrxwQcfxA8//FD+PRqN4q+//jrGGSWeV5w5c2bf9w7l4QG1GlKHuhzqgOBsbW3F/Px82fh3d3djY2Mjut1u9Hq9os5AjmhHYN8Gz6nfYtLDhglZ4DPMgw3Xm7SJlTOuImJf5YfHuhcWc3BDzDr05kwqSMfc3Fz0+/0ylov8QWjA1tZWIwXda3nixIno9XpFtbHSYy+V6w5R84jPQLw8ph/5vENbXj97iSCg3KvNzc1GqAo1DOO6ySF/k1Stt99+O86fP/93vq6JROL/FK+//npsbm5Gp9OJV199Nebm5uLcuXNx48aNePPNN2N2djZu3rx53NNMPIe4fv36vu89NaTljd8Ep/bx2IRcN5GMGLc+2NjYaNTsYVN2OMobJJu0M7Pcs8nKhf0vtZG3VobsCeG5/USEhrwGDr3U/Z9Qfjx/1mESSYQIMQ6+GRMTjrM6BuGwarO3t1cywurUd/t0WENIIHNinZgza8hYXiPWwfV4vMYei2MdWuO8W1tbhdjh6+F+2yjOen7xxRfFD5ZIJJ5vtNvt0o/whRdeiJmZmdJ6iOzV9Oz9N/HSSy/FRx999K+M3apVmkQikUgkEolpQ5oiEolEIpFITD2S8CQSiUQikZh6JOFJJBKJRCIx9UjCk0gkEolEYuqRhCeRSCQSicTUIwlPIpFIJBKJqcf/AJmOaPLQ2kz6AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x720 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tzdSWI67VIWl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}