Day032_HW_CAPTCHA_.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Day032_HW_CAPTCHA .ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyO5x3MBz+Ws688zeUUywrhp",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kuonumber/crawler/blob/master/Day032_HW_CAPTCHA_.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jIRX6QjkS0C-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "fc472b27-bddf-453c-c1c1-ae8c1fb97da2"
      },
      "source": [
        "!sudo apt update\n",
        "!sudo apt install tesseract-ocr\n",
        "!sudo apt install libtesseract-dev"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[33m\r0% [Working]\u001b[0m\r            \rIgn:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n",
            "\u001b[33m\r0% [Waiting for headers] [Waiting for headers] [Waiting for headers] [Waiting f\u001b[0m\r                                                                               \rGet:2 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ InRelease [3,626 B]\n",
            "\u001b[33m\r0% [Waiting for headers] [Waiting for headers] [2 InRelease 3,626 B/3,626 B 100\u001b[0m\u001b[33m\r0% [Waiting for headers] [Waiting for headers] [Waiting for headers] [Waiting f\u001b[0m\u001b[33m\r0% [2 InRelease gpgv 3,626 B] [Waiting for headers] [Waiting for headers] [Wait\u001b[0m\r                                                                               \rGet:3 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n",
            "\u001b[33m\r0% [2 InRelease gpgv 3,626 B] [Waiting for headers] [3 InRelease 14.2 kB/88.7 k\u001b[0m\r                                                                               \rGet:4 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease [21.3 kB]\n",
            "\u001b[33m\r0% [2 InRelease gpgv 3,626 B] [Waiting for headers] [3 InRelease 14.2 kB/88.7 k\u001b[0m\r                                                                               \rHit:5 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
            "\u001b[33m\r0% [2 InRelease gpgv 3,626 B] [Waiting for headers] [3 InRelease 14.2 kB/88.7 k\u001b[0m\r                                                                               \rIgn:6 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n",
            "\u001b[33m\r0% [2 InRelease gpgv 3,626 B] [Waiting for headers] [3 InRelease 14.2 kB/88.7 k\u001b[0m\r                                                                               \rHit:7 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release\n",
            "\u001b[33m\r0% [2 InRelease gpgv 3,626 B] [Waiting for headers] [3 InRelease 14.2 kB/88.7 k\u001b[0m\r                                                                               \rGet:8 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release [564 B]\n",
            "Get:9 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release.gpg [833 B]\n",
            "Get:10 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n",
            "Get:11 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ Packages [96.1 kB]\n",
            "Get:12 http://ppa.launchpad.net/marutter/c2d4u3.5/ubuntu bionic InRelease [15.4 kB]\n",
            "Get:13 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]\n",
            "Get:15 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Packages [47.5 kB]\n",
            "Get:16 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic/main amd64 Packages [43.0 kB]\n",
            "Get:17 http://security.ubuntu.com/ubuntu bionic-security/multiverse amd64 Packages [10.1 kB]\n",
            "Get:18 http://security.ubuntu.com/ubuntu bionic-security/restricted amd64 Packages [116 kB]\n",
            "Get:19 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [897 kB]\n",
            "Get:20 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [1,425 kB]\n",
            "Get:21 http://ppa.launchpad.net/marutter/c2d4u3.5/ubuntu bionic/main Sources [1,867 kB]\n",
            "Get:22 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [1,089 kB]\n",
            "Get:23 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [1,384 kB]\n",
            "Get:24 http://archive.ubuntu.com/ubuntu bionic-updates/restricted amd64 Packages [132 kB]\n",
            "Get:25 http://archive.ubuntu.com/ubuntu bionic-updates/multiverse amd64 Packages [27.7 kB]\n",
            "Get:26 http://ppa.launchpad.net/marutter/c2d4u3.5/ubuntu bionic/main amd64 Packages [901 kB]\n",
            "Fetched 8,331 kB in 3s (2,991 kB/s)\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "77 packages can be upgraded. Run 'apt list --upgradable' to see them.\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-440\n",
            "Use 'sudo apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  tesseract-ocr-eng tesseract-ocr-osd\n",
            "The following NEW packages will be installed:\n",
            "  tesseract-ocr tesseract-ocr-eng tesseract-ocr-osd\n",
            "0 upgraded, 3 newly installed, 0 to remove and 77 not upgraded.\n",
            "Need to get 4,795 kB of archives.\n",
            "After this operation, 15.8 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 tesseract-ocr-eng all 4.00~git24-0e00fe6-1.2 [1,588 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 tesseract-ocr-osd all 4.00~git24-0e00fe6-1.2 [2,989 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu bionic/universe amd64 tesseract-ocr amd64 4.00~git2288-10f4998a-2 [218 kB]\n",
            "Fetched 4,795 kB in 1s (4,311 kB/s)\n",
            "debconf: unable to initialize frontend: Dialog\n",
            "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 3.)\n",
            "debconf: falling back to frontend: Readline\n",
            "debconf: unable to initialize frontend: Readline\n",
            "debconf: (This frontend requires a controlling tty.)\n",
            "debconf: falling back to frontend: Teletype\n",
            "dpkg-preconfigure: unable to re-open stdin: \n",
            "Selecting previously unselected package tesseract-ocr-eng.\n",
            "(Reading database ... 144579 files and directories currently installed.)\n",
            "Preparing to unpack .../tesseract-ocr-eng_4.00~git24-0e00fe6-1.2_all.deb ...\n",
            "Unpacking tesseract-ocr-eng (4.00~git24-0e00fe6-1.2) ...\n",
            "Selecting previously unselected package tesseract-ocr-osd.\n",
            "Preparing to unpack .../tesseract-ocr-osd_4.00~git24-0e00fe6-1.2_all.deb ...\n",
            "Unpacking tesseract-ocr-osd (4.00~git24-0e00fe6-1.2) ...\n",
            "Selecting previously unselected package tesseract-ocr.\n",
            "Preparing to unpack .../tesseract-ocr_4.00~git2288-10f4998a-2_amd64.deb ...\n",
            "Unpacking tesseract-ocr (4.00~git2288-10f4998a-2) ...\n",
            "Setting up tesseract-ocr-osd (4.00~git24-0e00fe6-1.2) ...\n",
            "Setting up tesseract-ocr-eng (4.00~git24-0e00fe6-1.2) ...\n",
            "Setting up tesseract-ocr (4.00~git2288-10f4998a-2) ...\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-440\n",
            "Use 'sudo apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  libleptonica-dev\n",
            "The following NEW packages will be installed:\n",
            "  libleptonica-dev libtesseract-dev\n",
            "0 upgraded, 2 newly installed, 0 to remove and 77 not upgraded.\n",
            "Need to get 2,755 kB of archives.\n",
            "After this operation, 13.8 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libleptonica-dev amd64 1.75.3-3 [1,308 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libtesseract-dev amd64 4.00~git2288-10f4998a-2 [1,447 kB]\n",
            "Fetched 2,755 kB in 1s (2,899 kB/s)\n",
            "debconf: unable to initialize frontend: Dialog\n",
            "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 2.)\n",
            "debconf: falling back to frontend: Readline\n",
            "debconf: unable to initialize frontend: Readline\n",
            "debconf: (This frontend requires a controlling tty.)\n",
            "debconf: falling back to frontend: Teletype\n",
            "dpkg-preconfigure: unable to re-open stdin: \n",
            "Selecting previously unselected package libleptonica-dev.\n",
            "(Reading database ... 144626 files and directories currently installed.)\n",
            "Preparing to unpack .../libleptonica-dev_1.75.3-3_amd64.deb ...\n",
            "Unpacking libleptonica-dev (1.75.3-3) ...\n",
            "Selecting previously unselected package libtesseract-dev.\n",
            "Preparing to unpack .../libtesseract-dev_4.00~git2288-10f4998a-2_amd64.deb ...\n",
            "Unpacking libtesseract-dev (4.00~git2288-10f4998a-2) ...\n",
            "Setting up libleptonica-dev (1.75.3-3) ...\n",
            "Setting up libtesseract-dev (4.00~git2288-10f4998a-2) ...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j1emO8PzSbJT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import requests\n",
        "import pytesseract\n",
        "from PIL import Image\n",
        "from io import BytesIO"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iCf9nsI4SuMX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "outputId": "b4428cd4-fa13-4bf2-e975-aa053af33b77"
      },
      "source": [
        "response = requests.get('https://i0.wp.com/www.embhack.com/wp-content/uploads/2018/06/hello-world.png')\n",
        "img = Image.open(BytesIO(response.content))\n",
        "img"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=P size=640x377 at 0x7FD60CB5F358>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fp_xBviJTC0F",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "a609deb3-1700-4853-bfc4-f58144f99177"
      },
      "source": [
        "code = pytesseract.image_to_string(img)\n",
        "print(code)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Hello World-\n",
            "\f\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wF41vI5hTFHh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 378
        },
        "outputId": "9a71f4e7-194b-4414-deff-2b405504d9b6"
      },
      "source": [
        "response = requests.get('https://pycrawler-fileentity.cupoy.com/marathon/homework/data/1586231322426/test1.png?t=1586231347384')\n",
        "img = Image.open(BytesIO(response.content))\n",
        "img"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=954x362 at 0x7FD5F17F2CC0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4pIGN-6NUAbz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "62d476c6-5e57-48c9-cb37-b91e72d3ee4c"
      },
      "source": [
        "code = pytesseract.image_to_string(img)\n",
        "print(code)"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "619121\n",
            "\f\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vE-12SxlT1ST",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "outputId": "9c065809-b34d-44e6-cbbe-bf0c49e4a32c"
      },
      "source": [
        "response = requests.get('https://pycrawler-fileentity.cupoy.com/marathon/homework/data/1586231322426/test2.png?t=1586231348064')\n",
        "img = Image.open(BytesIO(response.content))\n",
        "img"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAJoAAABACAYAAADiWm5eAAAMKGlDQ1BJQ0MgUHJvZmlsZQAAeJyVlwdUk8kWgOcvSUhIaIEISAm9CdKr1NAiCEgVbIQkkFBiSAgidmRRwbWgYsGKrooouhZAFhv2sgj2/kBERVkXCzZU3iQBdPW8986758z/f7lz5869N/PPmQFAPYYjFmejGgDkiPIksWFBzAnJKUxSJ0AACVCBI3DgcKXiwJiYSABl6P1PeXcTWkO5Zi/39XP/fxVNHl/KBQCJgZzGk3JzIB8CAHfniiV5ABB6oN5sep4YMhFGCbQlMEDI5nLOULKnnNOUHKmwiY9lQU4FQIXK4UgyAFCTx8XM52ZAP2pLIDuKeEIR5CbIflwBhwf5M+RROTnTIKtbQ7ZO+85Pxj98pg375HAyhlmZi0JUgoVScTZnxv9Zjv8tOdmyoTnMYKMKJOGx8pzldcuaFiFnKuTzorSoaMhakK8LeQp7OT8RyMITBu0/cKUsWDPAAACl8jjBEZANIJuKsqMiB/V+6cJQNmRYezRemMeOV45FeZJpsYP+0QK+NCRuiDkSxVxym1JZVkLgoM9NAj57yGdjoSA+SRkn2povTIyCrAb5vjQrLmLQ5nmhgBU1ZCORxcpjhv85BtIlobFKG8w8RzqUF+YtELKjBjkyTxAfrhyLTeFyFLHpQs7kSydEDsXJ4weHKPPCiviihMH4sXJxXlDsoP12cXbMoD3WxM8Ok+tNIbdI8+OGxvbmwcWmzBcH4ryYeGVsuHYmZ2yMMgbcFkQCFggGTCCDLQ1MA5lA2NJT3wN/KXtCAQdIQAbgA/tBzdCIJEWPCD7jQCH4CxIfSIfHBSl6+SAf6r8Ma5VPe5Cu6M1XjMgCTyDngAiQDX/LFKNEw7MlgsdQI/xpdi6MNRs2ed9POqb6kI4YQgwmhhNDiTa4Pu6H++CR8BkAmzPuiXsNxfXNnvCE0EZ4RLhBaCfcmSoskvwQOROMA+0wxtDB7NK+zw63hF7d8CDcF/qHvnEGrg/scVc4UyDuD+d2g9rvY5UNZ/ytloO+yI5klDyCHEC2/jECNVs1t2Ev8kp9XwtlXGnD1WIN9/yYB+u7+vHgO+JHS2wRdhA7h53ELmBNWD1gYsexBuwydlTOw2vjsWJtDM0Wq4gnC/oR/jQfZ3BOedWkjjWO3Y6fB/tAHr8gT/6xsKaJZ0iEGYI8ZiDcrflMtojrMIrp7OjkBYB871duLW8Yij0dYVz8pitqBcA3bmBgoOmbLmI5AAetAKC0ftNZ58P9swSA81u4Mkm+UofLHwRAAerwS9EDRnDvsoYZOQN34AMCQAgYC6JBPEgGU2CdBXCdSsB0MAvMByWgDCwHq8F6sBlsA7vAXnAA1IMmcBKcBZdAK7gB7sG10gVegF7wDvQjCEJCaAgd0UOMEQvEDnFGPBE/JASJRGKRZCQVyUBEiAyZhSxAypByZD2yFalGfkeOICeRC0gbcgfpQLqR18gnFEOpqDZqiFqio1FPNBCNQOPRyWgGmosWosXoUnQtWoXuQevQk+gl9Abajr5A+zCAqWIMzASzxzwxFhaNpWDpmASbg5ViFVgVVos1wn/6GtaO9WAfcSJOx5m4PVyv4XgCzsVz8Tn4Enw9vguvw0/j1/AOvBf/SqARDAh2BG8CmzCBkEGYTighVBB2EA4TzsBvp4vwjkgkMohWRA/47SUTM4kziUuIG4n7iCeIbcROYh+JRNIj2ZF8SdEkDimPVEJaR9pDOk66SuoifVBRVTFWcVYJVUlREakUqVSo7FY5pnJV5alKP1mDbEH2JkeTeeQZ5GXk7eRG8hVyF7mfokmxovhS4imZlPmUtZRayhnKfcobVVVVU1Uv1fGqQtV5qmtV96ueV+1Q/UjVotpSWdRJVBl1KXUn9QT1DvUNjUazpAXQUmh5tKW0atop2kPaBzW6moMaW42nNletUq1O7araS3WyuoV6oPoU9UL1CvWD6lfUezTIGpYaLA2OxhyNSo0jGrc0+jTpmk6a0Zo5mks0d2te0HymRdKy1ArR4mkVa23TOqXVScfoZnQWnUtfQN9OP0Pv0iZqW2mztTO1y7T3ardo9+po6bjqJOoU6FTqHNVpZ2AMSwabkc1YxjjAuMn4NMJwROAI/ojFI2pHXB3xXnekboAuX7dUd5/uDd1Peky9EL0svRV69XoP9HF9W/3x+tP1N+mf0e8ZqT3SZyR3ZOnIAyPvGqAGtgaxBjMNthlcNugzNDIMMxQbrjM8ZdhjxDAKMMo0WmV0zKjbmG7sZyw0XmV83Pg5U4cZyMxmrmWeZvaaGJiEm8hMtpq0mPSbWpkmmBaZ7jN9YEYx8zRLN1tl1mzWa25sPs58lnmN+V0LsoWnhcBijcU5i/eWVpZJlgst6y2fWelasa0KrWqs7lvTrP2tc62rrK/bEG08bbJsNtq02qK2brYC20rbK3aonbud0G6jXdsowiivUaJRVaNu2VPtA+3z7WvsOxwYDpEORQ71Di9Hm49OGb1i9LnRXx3dHLMdtzvec9JyGutU5NTo9NrZ1pnrXOl83YXmEuoy16XB5ZWrnSvfdZPrbTe62zi3hW7Nbl/cPdwl7rXu3R7mHqkeGzxueWp7xngu8TzvRfAK8prr1eT10dvdO8/7gPffPvY+WT67fZ6NsRrDH7N9TKevqS/Hd6tvux/TL9Vvi1+7v4k/x7/K/1GAWQAvYEfA00CbwMzAPYEvgxyDJEGHg96zvFmzWSeCseCw4NLglhCtkISQ9SEPQ01DM0JrQnvD3MJmhp0IJ4RHhK8Iv8U2ZHPZ1ezesR5jZ489HUGNiItYH/Eo0jZSEtk4Dh03dtzKcfejLKJEUfXRIJodvTL6QYxVTG7MH+OJ42PGV45/EusUOyv2XBw9bmrc7rh38UHxy+LvJVgnyBKaE9UTJyVWJ75PCk4qT2qfMHrC7AmXkvWThckNKaSUxJQdKX0TQyauntg1yW1SyaSbk60mF0y+MEV/SvaUo1PVp3KmHkwlpCal7k79zInmVHH60thpG9J6uSzuGu4LXgBvFa+b78sv5z9N900vT3+W4ZuxMqNb4C+oEPQIWcL1wleZ4ZmbM99nRWftzBrITsrel6OSk5pzRKQlyhKdnmY0rWBam9hOXCJuz/XOXZ3bK4mQ7JAi0snShjxteMi+LLOW/SLryPfLr8z/MD1x+sECzQJRweUZtjMWz3haGFr420x8Jndm8yyTWfNndcwOnL11DjInbU7zXLO5xXO75oXN2zWfMj9r/p9FjkXlRW8XJC1oLDYsnlfc+UvYLzUlaiWSklsLfRZuXoQvEi5qWeyyeN3ir6W80otljmUVZZ+XcJdc/NXp17W/DixNX9qyzH3ZpuXE5aLlN1f4r9hVrlleWN65ctzKulXMVaWr3q6euvpChWvF5jWUNbI17Wsj1zasM1+3fN3n9YL1NyqDKvdtMNiweMP7jbyNVzcFbKrdbLi5bPOnLcItt7eGba2rsqyq2Ebclr/tyfbE7ed+8/yteof+jrIdX3aKdrbvit11utqjunq3we5lNWiNrKZ7z6Q9rXuD9zbU2tdu3cfYV7Yf7Jftf/576u83D0QcaD7oebD2kMWhDYfph0vrkLoZdb31gvr2huSGtiNjjzQ3+jQe/sPhj51NJk2VR3WOLjtGOVZ8bOB44fG+E+ITPSczTnY2T22+d2rCqeunx59uORNx5vzZ0LOnzgWeO37e93zTBe8LRy56Xqy/5H6p7rLb5cN/uv15uMW9pe6Kx5WGVq/WxrYxbceu+l89eS342tnr7OuXbkTdaLuZcPP2rUm32m/zbj+7k33n1d38u/335t0n3C99oPGg4qHBw6p/2fxrX7t7+9GO4I7Lj+Ie3evkdr54LH38uav4Ce1JxVPjp9XPnJ81dYd2tz6f+LzrhfhFf0/JX5p/bXhp/fLQ3wF/X+6d0Nv1SvJq4PWSN3pvdr51fdvcF9P38F3Ou/73pR/0Puz66Pnx3KekT0/7p38mfV77xeZL49eIr/cHcgYGxBwJR3EUwGBD09MBeL0TAFoyAHR4rqBMVN7NFIIo75MKAv+Jlfc3hbgDUAtf8mM46wQA+2GzhE0tAAD5ETw+AKAuLsNtUKTpLs5KX1R4YyF8GBh4YwgAqRGAL5KBgf6NAwNftsNg7wBwIld5J5SL/A66xVVOVxkF88AP8m+9yHGmiVfxLgAAKiBJREFUeJztnWtvXct5338zs677xptIkSIpUpKP3SROHCeOY7vuxYjTohcUTYqgaIEiQPuqL/q6X6FfI0YbtC6K1o2DwE3huK7hxHbi1CkS346ORPEqiTri5r6t60xfzJ6119okJUryMVBAAxAk197rmfnPzJp5Lv9nlvjCF75g4jjmbXlbPsjiLS4usrq6iu/7AJRlSZ7n9kPPw/O86staa/I8xxiDlJIgCC5cV0pdS5YxhjzP0VojpcT3fYQQH5gsSYkvEsCg8chNBNCoY14WKBCx/U0JZgzoV8YOIIQgCAKEEBQlPB8bCg2BgqW2QIpXk+X7PlLKN+rH15F1FfYXyRJC4O3t7QFw69YtAPr9PicnJwDcuHGDtbW1qlFpmrK/v09RFLRaLba3t1FKMRqN2N/fB6DX67G1tQXA+fk5x8fHAKysrHDz5s1KVpZl7O/vk2UZcRyzvb2N53lMJhP29/fRWtPtdtne3gZgOBxyeHgIwNLSEhsbG5WsPM/Z398nTVOiKGJ7exvf90mShP39fcqypMUzNsRfINAMzRon/DwAi4uLFXaAoig4PDxkMpkAHYz4JNABzhDmR0DyytgBfN9ne3ubKIo4HRq+8McFp0PD7WXBb3/GoxuJa2EH+6Btb28Tx/G1sHc6Hba3txFCMBqNODg4qGRJKdne3qbdbjewh2HI1tYWYRhea9zdRNve3qbT6aC15ujoiPF4jO/7eEmSkGVZo6NtJ9OY+W4Gp2lKlmUXVrokSTDGUN+Gy7J8oawkSUjTtHoC6vdorQnD8NJ2dTqdhixjDGmaMplMqiewXkdRFHgMMOIJUFLgMTFWVrvdvlIWBBjpAxHgIXQKTF4Zu/uea1dewnHfcNI3RL6g1M17XoQd7KR1sq6DPQgCjDEIIS60Syl1qSxjTDUm1xl3sJO2LMsLssqyxIvjuAHK8zxarRZAtUS6IqUkiiI8z2vco5Si1WphjGncU5dV356crDiOUUoRRRFCiIas+c5+UbuEEJWMKIqQUjbqKMuSkB5CbCDQ+OYGLa7GGIbhtPNCjMhATMAUiOl2+6rYHX7XLt+DrSVB7MOtBYGSTVkvwu7+d7KuhT0ML/Rvvf1KqQvY6/dcZ9xdW5ws1x6ttd2Cv/zlL5sbN25UM7Usy2pW1hsBM/3FCXKTR2tNURRVo5ys+vXLZBVFUT1pnudVT+TLZNWvv0hWo72UeKRWFoqS8KWyQALh9LcGrI73qthdf7l2FRoGE0NpwJPQi2c62nVkAZX+dB3sL5PlJu61+vEK7POygEp/E0IgvvKVr5iVlRXelrflgyzeaDSi3W4TRXZbyPOcJEkAu63Ul8qyLEmSBK01nudVS3ZRFNVe7fv+tWRprSt9RClFHMcNHcIYg+d5ld7zMllJklCWZbUVO33hMll1nafeXrArmtMr3PbjZL0udqAh602wO1lRFFX61etiB7tCORXmTbA7WW6LnZflPXz4sLIWwFqdzsJZW1trWHdpmrK3t0ee53Q6HXZ3d1FKMR6PefDgAWCtuJ2dHcBaXs7CWV1dbVh3WZbx6NEjsiyj1Wpx584dPM9jPB7z8OFDtNYsLCywu7sLWMvr0aNHgLVgnXXnBmJ/f58kSYjjmN3dXYIgIEkSHj58SFmWdLtd7ty5gxCC4XCIs7aXl5cr7G4gDg4OKstrd3eXKIreCLt7OHZ3d4nj+I2wg92ednd3abfbb4QdrEqzu7tLp9N5I+xuou3u7tLr9SjLkqOjI0ajEUEQ4NV1Mmjuu84accUYQ1mWFEXRuMddN8Y07nF7/nVkuafC3aO1vna7gCtlueta60pfeFm7XF3zutvrYgeqFeNNsQOVkv6m2N336ve8Lnag4T2ot0tKibwwYm/L2/IBlLcT7W35qRTxxS9+0dy8ebNyXKZpyng8BiCKooYTsigKRqNRpRR2Oh2EEOR5znA4BKwucpmsMAwb/puyLBkOh5WsdruNlLIhy/f9yjmbZRmj0ehKWaPRqFKIO50OUkqKomA4HFaKervdRgjRkFVvL9htajgcVkpsp9NBKfVG2IGGrDfBDnbr7HQ6eJ73RtjnZb0Jdlc6nQ6+72OMYTgcVlvnW/fG2/JTKZ5TBp2CWVfm4KLiWf+8/tll168ty4Axwv2J1va3ECCnPl6BoX73m7Srft1oMLrZztodSCWY3fb62K202ffL0rgb7BP/gjpeJkuX+uInApAGIcAYwMwiCXNd90r99aLrL/rMcyawC3j3+31OT08BG7yur3ZJknByckJRFMRxzMbGBlJKRqNRFUDudDqsr68DMBgMePLkCWBN/xs3blSysizj+PjYRviTkPLxGqZUHDw3/I+/MuQlbNwW/OrnbAe1GLIingKwsLDA6upqJSvPc46Pj8myjDAMWV9fx/d9JpMJJycnNqjearGxsVGZ+I448PxdzeE3Z5ZUaeCkgNRAdzHgE5+/RWcxAFIEj4HylbEDeMCqgAB49n7KH3zlkLN+xtLNRT7xd3+JMA6BybQOQ7vdrlxLw+GQx48fV7LUVFYIjM7HfPd/fpfB8wEQgFgHPNTNCa3PHSLCEj1eI3v8y6Alna5gY32mmksp2djYII5jiqLg+PiYNE0JgoD19fXKVfKycXeTbGNjg1arRVmWHB8fkySJZdsMBoOGAy/LMvr9PgDzPLWyLBkMBmRZVpnMYHW38/PzipJymay6U7QuK01T9LhFfriCKQQHJ4Y//o4mLeDeULL1S/YJWSDDE1bWfHzS6RaTyaSKFbo6zs/PK3Perdx5nlftevpI8/A7M3M/N/AgN4w1LN2M2f3YGqX0gQJhBkD+ytixU4AlKfCA8ZMxP/izfZ48TVi/k3D3EwWtXgDkCHMO6MbKMC/LAxalwAey0z6H3/sB7x+/D8QgEyDA3x3Q/diPkK2C8vw2k/27oBVLS4JWPGunUqp6aLXWjEYjRqMRURRVzJ3rjDvYSesWE2MMo9GI4XBo/WjzMch6XMzFrFxxQVPP8xr3uLiY4yvNX79MFkZApjCpokwUowxMDmluTWEFqNoSL6TAU1fImnaYa5cbpPn6q8HTYNLpn4WhqK3+JSBReELgCYXwBMIDgUAZDzAvwC6A6aQuy6oOgNIYxqakACaTEmEUnvBQKNx2J4TDqJtjImx/VP8bQz7JSLQhHWcYLbHTb8qbo8CUGjP20ICeCEgTjFbozKMo6jHn6dZKc3zrfrTrjLv7vz42dVne7u5uYxtaWFioVp/5lSMMQ3Z2dqqn1wlttVrcvXsXoNHAXq/HvXv3gIvsDT3ySb9zi+S55mQs+f09wbjQmBxuGgESVmoTrdvpcu/W5bIc18sR9lwboihid3e3aq+baOVTQ/o1OyHePzI8yGczTQmPleAWvozodhWd7YhoUxHQYlXs4PEi7AkY63Uvj5KqDoCzPOd/HR0xTFIoPLrZOt1YsRguoIQdvFbcYvPWHaRs9mMbwY6cdUY6TvnzP/g2/ZPnFIVkcLYAcsk+qeYYTEn52Gfwn3cRSmKKAj35GgD9Wxu8K365khUEsL1t6PVsnZubm1U/uvG/zri74nZBpRSbm5uUZWknZD3O6QZtfiCrQVDqAn/LdrB3gSP2MlkUkvL9mPKpYTyGh081g8LQFrAtLZshrH3d8z06nfBSUVLKhrvjZe01iaF8YidXdm4Y1XRpXwhuyhYt1aLlCby2QnUEPoqOaOPNyWpiL8BY14GZFFUdAGlasv9gxLPxmEjG7MYbhCokUnGDwmPdE3M4gAa6UvP86BmP9x4DIcg7QGzpTHoCZJikQ7HfBjww52CeAJo8ihkOZ+0KAoNz9gshXqkfrxp3J6uuenl5njdCDj9JmlCZQ5FaUEkOoxm/ksmp4dkEkgwGhUEBPqCEofRyNICvCALHldJkWXmhDteul1GOjAYKAwYm44LhtC1pk+UCAgqVk6uMQkk8fHwEyhiy3Largb0oyJMEjKEsRhSp3S8HzwuG6YzsOclzJIZAWGpQ4YGUoD27qgQBKGXIsgwpma5q9t4iTxgMBpWsZJhQagkEIANEFIIKkNIQh8tImaPLgDwtwRh0UZJPplZ2oTG1gTCFR1FqctuRmKKAnwBNqEm3mlqdWusGldtZOCsrKw0qd5IkHBwcVJTera2tKrhapzNvbm4CcHao2f+enRx/+tDwRz+cPUk6NyTPrI4kDSwZwbKEPBrzbPkQIzRrtxb40L1dANTonPv3jwBrDTvrDqzVeXBwUNGZt7a2KjrzwcEBZVmih4b80PpN9h4UfP2hXcbSmcFpB1UWPF44QoWStcWIZW+HNRGROllz2IenT3n4J9/CGE3/pODgLyzL4vTc8OjpbKmUGHo6YzmQ5IHgdEVQ+AKxIdi+o+h2FUky4uHDQ4zRdLuCrU37kB0d3+dP/vAbs77LBP1+F+QCohXifewuohOxuBDy6U+t0277jJ4d8fBbf0CRThie5jz67tSV82xI/s33ZhOtHfDkb95Bb4EpCrKDA3SSEARBReW+zri7Sbi1tXU5lXsymVygcjuPdq/XawyCo6RkWdZY6eqUlPo2nKcwemYn18mR4YfvXgyGA8QCtiV4ApCazJ9gpMaEMa2W3VaKZNauy+jXSZJU1nOdzjyZTGxgeWjI3teg4fzMrqaXF0PmpQgfcg98YYiAUmvSy7BnOaP3n2G05vzY8PRdO3OfFYZnNd0vELAcSGJpDZssgMyHIoQoFrRagqLQTCZjtNYEgTOJIE0HlcvJVuqhi0WslRkiuzFiISa40Wbl7ibdbkjYyXn645w8ScmTEiEMBjB5iTmbRSx0UZIVpaV0GkOSpOjxuGFdXmfc4SKVO0kSxuOxtTqjKLpAQXZ762X0a8eDqvPBHHfJGIPEZ/zcVjw4kzw7txNvnOTAbEIL7FYphLWXMmPtpVJKojgGqYnDoNLTPOUhr2iXEKJqTxiGMzozkpAIj4JxUfL8LMFow2RsiKa6dYl1aVSypCDuhai2JF6IkKpJZ1ZK4UmPydkEKRSj5znjfgjaMB4XJNp2tEYRyVk7fWEQIgesdRqFISqML9Cs4zieTjSBm2hhvMDKdJewjVaY4AZkEbQC/NU2ohPR64VTyxek9IiiBTwRMAmSad8bFApf1nQnGSCZ0a/DMASjL6Vyv2jc3f11KncYhpRladnAv/d7v2dWV1cbOlqdfn1ZWptzY9T3areH9w8F+9+1DfzBg0W+8efWEXwyecb+6KSSFQAbUuAL6xw9NZba3F013PmVAunBL9z1+Jd/f6qclqXVH17SLqdDCCEoh5rxgxRTGH704wG/+x8fUBSGWMPyVLU4K+G45t8Iej4/81u7dG61WGwLfv2jEYtt2ahjdDrm0bcPKXPN2VHOj785BAPPkz57Z3Yr6XpL3Ahm/DtBTqAPECTQW0R88m9Cp8v6uuIf/r0WrZZo9KOU4Pu2H7MkYzKoLcEGTOmDEXYyxD5CiqlR5COloBz0Gf/wLzFFzsGPjvjqf/g6ZVHS9W+zGf+NWbvaHmv/9ueIPrqIZwxrRU4414/XGXdX6ul2jqIkhMALgqAxaPMGQL243MT54pIabIdqknM7iqOhpD+y15Oiaa8JAf7UU+5WlQK7ogVhiPIg8CVVbUrZn1dol0AQENhwVjlhMIC8MEgF4XQQ/UvCMWE7IO6FRJFAqJmPy9WRyJR0kFJkJcnAkA4DjIE095jaPnRQhLJmJbtJYWo5nmFI4MsqalTvx3oJooAguty6u6oIoQjDDkYV+P5sBZMoAllflRQVW2zarvkWXGfcL9YvGjuPNx6P6XQ61Q15npNOLacgCBoVuL3aUZArSm8JSWJ7eHRuGL5vvz+e5CSBNfcXlzM2Fmqhjxz8pwaRg9TQSq1R2FYlnXaG8iCKfOwGS0UbBvvUXEbl1lojhSIkRCCYnJUc7I0pc8Px0wQiEKXdHnF9kAGNh9IAbvVwjgXRqGMySNBnBpNCMYFxaJ2ewWLEhxaskRJPAtrnM13ImJx0orFhVT2tQ2EVhw4gKsq0o187fbeOvT7AdSr3/JiUec7w9Ck6y5mcnVX3lhLGNc1D+bAqIcY6gpMkoZiyNxwt/Mo6au11k8ttsU5Ha1C5gQaV++jIWndra2sN6y5JkorS2263Z5TekeHBXgkGnn7f8ONvWWX8YXTO4xVLI/nHn5X8q38wm7TPHxu++rsF588MowTMY5vvuNJOuLd7hAo0G0sL00GwsUNn4aysrFSWLcysziRJCInYFLfx8dnfG/E7//49RuOCMjCwDh4SJah8VaJvYDYfEBQIjhFIbD7nLhA2sOd7Jdmfl5jUMFSwvyowwMc+dot//s8+BcDTP73Pwy99u5Kb5YZHRwVJCpCD2QcdgemAuQtIxuMxe3t7aK3p9XoVlbuOHWZU7lar1cDuHNRBEDA5O+P+179OPh7R7xeYqe44DmBvaYY3iOFnfbgl7IR+dHBAUqNyO6vzsnEfjUa4+eMm2u7uLt1ut0Hl9n0fb56eW99369dh5q/K87x5j4Gp+4U8s9YmQOFpSqmngDyWl2p61QRCH3wFnrLPtQE8YfC9AuVplLpeu4CqXQoPLa2FVaSGwTBnOCoQbYGnhN2m3A9cQf0sAY2gwLEp6tiL3GAyu6KZEAplv6UiRW/Z6pSjjoenZj4mrUEIpwsaXKjIhaxcHe4YgavGpP7deeyOBwZgdEmeJOSTCUVmqjCTpiJyAKCk7QIP0Magp0cmzFPPLxv3eV+ZW/3m2yWEwOt2uw0PbhAElVtjPhDuPNcuiu+sEt+DXtc+1eYW7HzcIgkiUFPV4vbNpjIkBbQFlAK0oKKueJ5Ht9vFCw1xzUv9onZJKWm32zaDe+zx3nsjdDrh6CSjMB2M1MStkpu3UoQ0BCMwj6c9nzVEIaSg3W7T63m0gwA1Xfrq2Ms1Q/TzGjKD9uFn23bqbG0GgHOsJg252sBYw1AbQiVZudnFX4rpLsaVZet5Hr1eD611w0Nfx+7aUll32M1dCZDjhJP/+y4Cwej4Mf3zkDKBxCjkzdA+yH5MJGaMi0D4KHYb/aiUIgiCynq/atxde+tbp9P3hRAVodP3fbydnZ0GfWdhYaECNc/5iqKoyvJxDQNotQT37lrgZhd+cWrUmOlEAusNr5cA2JSwrOCJhO9Pr8dxizt37hLE0K1V3+l0qrjpfLtcrBNg//6Y3/lvP+bZSYqmTSZ3MIHHys0hv/5rB3ie4dlfaX70PRf8brbL8zw2tzbZuNchBPwpxgb2O2B+ZYoR+CyAACX6VawT86wht8BwmBveTw03Qp/PfGaXxa0FWgK8aap6HMfcuXOH+VLH7kqV9Y613rUQPDs55au/+1WGz4cYE6PLLUAh13p4n95FSElnsM+tw6/N8MqYSHwEWK1infN1XD3uF2OddVdNPevNa7AacMS4OVPsEoBN4bMVCQlqPiB4lSwbO2/sXkLYOqScv37ddgnyXJNmGqTB+BKEtE+WZ9umJDN+4UVO4bR+aXdY0bzuMNaDnjWewzTWdblgPf0xCKQnUd7U3nNcxSswvgy7mDZJaEORZuRJCvi2g6c97E2BCymRte1aUiBqbb1sfK+6/ipz5W1yytvyUynXXHs+mGJsjPuSZ99A4zm7nqzq1rqnv1L8L5dmMDPDoF796xRz9b/GiGY1l9CzX7sYB/qaMuur0AtWpJ9kqajcLng+T+VeXl6uvpymaYPSu76+XlF6HTW60+lUtPDz83OePrX06y4LLIqZrOcnhm/uG95/ZkhLmBIzGE8mPHhwgBca1ttttjYuUqN7vV6DQzd6P+M7Xzxi8DjlbFgwPrMWWns1Zffzh3iR4FanZMcDKQQjPeLhxGaRm/Ue3Q/PiAPtlqY8PyC570Pgo9fXIQiuhb1Fzg1hgey/p/mj+3UF0KfLOt04pCcD9OExSfYMFUWwsQ7TIPXJyQnGWCr3VbRwpRTr6+tEUUSej9k/+A5p/5TBaUpROCPEceMEZrxOvncHy15YI/rcr80mgO8jl6y/oygKTk5OSNMU3/crKvd1sIPdStfX1ysq98nJyYzKfX5+3kgLS9OUs6mDb966c9TdLMsaGcpFUdDv9y8wbLMsq2Qp4dMTMwdO2jccDuDJoFEFxZRmrQJNt3a9Lms+1pknmoPv9Tl9OGaiIZ8GL/1Wyeo7A/y24IaArhSWjmRy+oWlRoeRT3tz9lT7gUGnQ8q+oIwimD6A18FuBCxPV4jzvuZRvxbakrAbd4hVizYCMxhRBmPKoo3RazBNa+v3+xey5+vYHf4Z/bpgMDhhfHbMeKDRpdO/CstDA0zeRZ9PV+7lFt72rGeVUogwmsqylPh5Kvd1sIPVyVyOiUu3a1C55+nX9fOy6sVRda+65zIqdyULefXK7uLHAoQv8JVCKYFSNWVyWi+A0YJsMlstsqSkMJIShZagQoMH+KHE9xS+snwyXTo2gqhYrRJVBZXt/859IBqhuGthZ8aLlmJWB4ASCqGmtHBfXFmHYwI3FOka9ovjIlBeiAoivEATRFgatzbofHrAHsI6bAU2FFavU6lq+6xjfFXs7v+6cVCX5e3s7DQ4Zx8UlVueeXDKpcV0QP+MwASwsN3ir3/oDoEPkT+TVTfxD34w5Pf/+4+qz8YjxfffX2WIIloWfOhvS/wurC4JPvPXFKEvyE6HPPjuIZSGwWnMbjxtb7BCKGemezsQ3NnyWF2Wr0xnloMBPJ6qEKpX1QEgI0n75yK8jqC9EnL7w9v0FoMGQaDu3qj347x7w4V6AILWAruf+g10kVIMU3bvHKKTnPGTMftfO6BMS8Ym5OR4z1q7W7cI7/5sJUsJkFFc1fmBUbk7nU5ji5yPb9aLc9zNF+dknS91KncxMRRczkfDB70CROCveKz1YqI5BnhdVj4Zs//DWVZQkoecpWtMiCAU9HYl8ZJgpSNYX1CEHjzvaw4HoEtDnnh0VHeKqUsgZm1vSUG35dPtNpXk62DXRVGFTX3pV3UACB+8JYlcBG9Z0em16XajK2VdhX2+SM+nu2YfFDMZ080FJss4DwecBTYDzJTA2IYChS5QtTokM3vAOVnny6uOu5PVOKUyz3N0nhJgt6ICSc5s67zslEYnqH6KoAtNXHW9yAVFPhu8vLBBdKdRSJxxqKehpDlZhaaY8q7z1JAXs44vSg9jCjA5poRsoJASxoXg7FQReNB/njMaG3Rp6eOOg6YLDeNZeMcT0D83+L5NHm63PJQS18Je5hnFNFSUFyW5qfurBIEXI3xZ6WMuPOO2y+vUUbWzRrN2epMpCvBAGEAZClOQm7yZ5VVkpDUqtxICHXmgmrLm67huu+orXoPKvbe3R6u/z0el3dcemR73tVXoVlZWGtZdmqYNSu/m5mZF6XVngfV6vcojfH5+XlklxdMFisNZBOLoueFRZniqDS0tuCPsIKvJhIcPHuMrQ6fTqc5B6x8PePRdW8cPf9Dm3cczD7rRBfnkCVLnJI/h+//FZrj7SvB/Quu3LLKS5LzAGCgzSKYzTRycI57fn3VUAPt7kqAtWFkJ+Se/cZsbK+G1sJfP36eYBpnfOy55WNMjw6jFO7c+RbSxAF7B/skx0VObjLy5uVmdj3Z4eIjWuoF9MBg0EnXdFudO5T48PCRNU0Jfs7mu8T1FMcnYz/ZIJgmlmfmRz0/gL//wx5WswJesfuo2nRttyrKsAvSOyu2szpdhd5Nwa2uLdtvKcid8+75vaUJloImmEw2tGWm7pM8vi466axMoZOP6eDzGGHPhNGl3oEgxiinGs0drnBgm2jAx4GNQ2IRYMZXlSd3YLoo0Z/jUyhr2I0ZpLVvHpMgyBTNBpzA8mn3UDARdUpLC/rjO8mAUSkQESVKS57Nk5Jdh16Mx+RTvONWMy3rAXEIUINttIGGSpJTTM3XdU+8ObHEHDF/Wj3DxVO7JZGIp1S2BiRQiEJhQMzFjJmUz5lqkIwZPZwezBIGinPqWHB3IHRpTT8R+GXagOlzGtcvJCoIALwxDZCjJ5MK0RzpE04lWV0idIEeVrutxjrvkTq5xxXGXAEbCo0apIkvBM4IQQyAFUWiD8FFk7/GkntMVFVUCnhFgZsKEyTHCn7p4tc1vxADSKkeI6fW5CPolRUhB1AlQbUnUrVOjX449Uz7ZlLkiC0UoZ/0XipBQWCJnKAVREBJM6c4zyjREkUBrAUXK80d2NzjvD5g8neEtgpLJeolShjwH37fHuwe+hizFaI3JC0stmSu+H7G4WCNR+BLPm53LEQTBhZO8r4Pd3V+ncgdBQBRFdkXb3d2ls7zAUaUtKe5NAwbzE61ufbh4INhkEWd91HW6Xq9XWSF/9RjuP5ytaMMEbpTQUoLFWHB3RxK2BRu9Nvfu3sFT82Z8Z5q/CML0kVktk0f44N1EiwChE0SxbyebjNDeNgiF0ENEvs/LvOde6HH3k1t0NlostiVh+6LldRX2ZyPJ/Yc/sNf7C+zGsxd4RFHElgroSIjCgLvb24RBUw9utQR3dq2f5/B7e3z53/0nAErdIS9mKozfjtC/dZvuZhvfV2zc3CYIDKR9xMl3yIsxxXGKMVuWVVorN9fv8bf+zjvV/1II2lOMnuextbVV0a8vszqvwu6Ku0dKWVmwQgi7oqmo3WDLNG2hWbmKuutm9nxp0FlESVLbovIUfGPXqFBCFArCCKJIEsX+BbaHXdGmdZjz5oqGQQsfRIQRmlmwR4II7X4oMqaOpCvQTWVJQdQJaS1GxDUq93Ww+8qvjkGQhSKSsz6JZH1Fk4ShRxTOUaekIIqmMbMi5f1HU71MLIOYWX1BF5Khxk8MGIHvB0SRwJgxeZZhsgSTldjebeINgoil2orWwP6KlO2rxv0yWVW6nbtYFEWVfjdvVrs3aLiZ7ZbXsiwr+nc9U6YuK5sITDqbPTqHxMDEQFtCHEPcEvi+ZjxO8WRTFl6BbFmK9cIa7H5k1vHGeCQ6RxuQoiCSLYQIKIuQySTBGEWepgyeTwmAarqjAp2Oz8rKrBP9tqIb5USMCVFIYhyV+2XYx5OU8XT+T7KCcVmj7hoNoUG2BPhWf9HlvCxDmtiYZZFLWrHVQ9NCMchmsopcM3zyDKEEaWDYL4pqRVPHfUQx4eyJRpfTzCc/JuzcsFtb3GpEgoCKFm6MfduJW4Xcdnkd7C+TVVG5K+uuRuVeXV1tULnrpzO32212dnYqSq876XlhYYHbt28D1up0J3yf7i+in9YsWA3HuWGoIQgEt3cUvSUB4zF7e49gSmd2PCjZGeHvWjrzL/7CIp//Fx+Zycpy9h4dkiQpcRyyc/s2ge8zeDrm3W8cUGQFxyea//0tm/4vYoGaEjE/+olFfus3b88GsSw4Oj0kyRJiEeGxA4TXwv70wVMeHNit6ll+zn4yU7oXyi4f3/gI8R2FyRL2Dx9Bbk/l3tnZmb4Hy7C3Z5Xw5DzmzrZ10u497/MXezNVwc98+H1BO+yQmYzj4hGZSYnQbKmUQBjKwpBPAAOtxXfY/dXPIZRHuDrm/v2ala0UOzs71bug6qdy7+zsVO+Cehl2sKvYzs7O5VRudySCK2VZVqvQvI/EUYrdOWSu1NOx5inITlaRl3XWMsZYP1qOZdj602MBytSQZhlmPt1eaIRvfVRRB5bXZvWnKTw/L/EnOa2Wz9INm7zi6YxuOydXBVE420KEmK1oYVs2ZGWZ4P2+psxyPFTFIbkO9iwvcIzreT9abnLwQQRgSkNR5Ogsa9CvtYYsM2ht0Fri+3aXEVKS1wwZUxrS4RhvIkh1ytnkjERPiCUsRoJgjpAhlcFvtZDKR/pFI2HcJbg4LG4Xcilz18UOF6nc7h7g8siAc2vM78vusA93hqyzSrQKSTvrGCCPasmpxLSFXREFMbWzRUgkdJYFUkFvCVrSUpK18vC7XdC6QTH3fb9q17xe4Dza7l1FFyjIfkkc5whGgMGPPXobdltqLTT1FXdgjLOw6rIuw66ANtYQft9YqjaAjlv0Vmb0695qm7bv0QKMkvjtNmZqldWp0d1u1zpCb5RE79j7V+Kc9dNaIBxJYFIwBklBS0V4wiOUJYIU0HhRTGvjFkIqFm5usbChkEoiOz5ePTJQM0ZeFbtr71VUbvfdK6ncbkDn2ZNuOXWfuYZk7Rs8v/sxDIJYnAN2622LW2ypjwPwY055r5g5uGQPbv+SQLZh96ZgO5hSt1sxTON99fq73W4VHplvl3MuVgMx7bho+oIHU0CS9xHiPmDorXX4uc9ba2lzrZkrehWd+SrsMfb0Iww8NfAgs51+Y/sWH/7kpys5vZ7gdje2R3EFAUzVi4asOpX7Th/zy3bQVv7slNZwpt8WRcH+4R6TyRifgK1wG0OEYII0e0BGfHODd/7pb+O12iwsKD70odCmGYoFhGz6R139r4r9slhnfXJubm7OIgMvYm/Mlys/ExKtAssSaBCbFapKAVbM5y4pz+YVep5AiekBAEJcmij8onY5YBfuwb1IgjkmiMBzpxRdNG8vl3VF/Y544v52R9MaqfBqVpfyBVLI62NUqjpOyA8VQZ1NYTRSaFy2lhTunA5VGZlCSlQU4cUxXiRQgZimGNZbfLG8EvaXjEl9Xnnn5+fEcVwFQGfvqrRbVH2bqnuu3bHlQghkPiEa7WMA38/tXgLkDBkYq8AvbEz4+Kdqgxpq9OoIAs1ax0OKHiAqL3j92HKwnKz6UfL1bdUdiemOQHfZNyUlQzNEG423mPOxTy9SltDaDOlguVoRIVWDp7LG4zFFUTRlXYG9AAZTqnB0o80vftauSK0bPXoLM7Jduy1Rqgd4lUe9LMumrAb2nHZrmiTUzvC2F2cDaDSbaz5FWaC1YjTuUJYKpbq0WzFSaoKVVZQ3wWYp+Lgk5TzPLxz/7tSOV8We53kjMlCX5Y4Wdce/ew8fPkRKWS2N/X6/il+tr683Mlnm3wl07949m5o1PmXpvW8Dhs7SUrX1jcwR++UjAO58co3P/sZse5tMJrz34Jg0Sel02gSqjUuiffDgAVprFhcXq6V5OBxWyao3btyoLFu4+C6ou3fvWmuJhAOzR2FKeh/q8a9//cMIKTg7O6veYbQkVhoTzVle4/GYKIq4e/fupe9DctgnwCMDGMPyL2zwb/7RZwA4PT1tvL8pDAPCwL5g1r0LKk3Tyunp+/4c9oWZE3y9S/S5ShS+7/Pxu3dpt9skacp799+rzu+12AOGwxHvPXiPoigR9KYY7UHR9fc3KaW4e/cu3W73lbGPx00LVgjBvXv3Gu+CqoiP0ExGrf9/3etgnaaXXXdruc1uml2V0t5jk2ov1uN+5q+9qFz9uT0GXUi7bYpaDsFVjPnL6n9RHQanvzgHr6glDF+k5l+GsXl9rnVzPH8hpxlNUiKkmPux12Ytu1j3ZX+/NvbainbZmBlj8BYXFxscpCiKqjyB+WMmPc9jcXGRoiga1pLv+yxNeed1WWEYXilLKcXi4iJ5njcsRSfLGNO4py5rnjMlpWRhYYE4jgmCoNIbPM9jaWmJsiwbia9BELxQVq/XIwxDfN9vyHpd7O5+Z5G9CXZ3f/0Q6NfF7u53Tvk3wQ7z0QABdLE+He/tm1Pelg+mFAW8+17JcGgIgrd5nW/LT6m8nWhvy0+lVKcJuf1Ya12FEeqUEKARYqr7UK66/kHJmvffzIe+6tToV6nDlTqd+XVl1dv7pu26rqxXrWP+njfBflGWYXYqk7BUbmNMFTzv9/tVsury8vIFKvfh4WGD0usSSV3wvNvtNqjc7oTvpaWlRrZVlmUcHh6S5zlRFDXozEdHRxWd2Xmqh8NhRWdeXFyskpTBujeOjo4snTkM2dzcrE7lPjw8pCxL2u02m5ubCGFNfEccWFhYaBAHiqLg8PCwojNvbm5WdObXxQ5Wcb516xZRFL0RdjeYdSr362KHGW+s1Wq9EXY3CTc3N6dGkUaYY4SZAD7eaDRqnCZYfwfjfOaLczRmWdYwZZ1DzxjT4CC5d0bCRevOOQcd/aQuq/4uy8vaNf+OKmMM4/GYyWTSePpdu5wD0hhTOUadrPm4qTvJ2yXR1mW9LnawlmP9tPDXxQ4Xqdyvix3spHWr0ptghyaV265oCTACE9gzbMMwbJxq7f6+jModBEEVKK1fD8PQ+ktq99QJc/Oy6qawk1m/Z543X+emXSXL3VOX5Uz++esvkuWOLp1v1+tidxid6vAm2F2b3T117KEvCcWAgAmBTAkD/4XYnex6u14Xu7v/Mlm+7yO+9KUvmXfeeac6xvLJkyfVMZae510gPmZZVhHgXOV1apE7xA1mJ/79JGTVr8/LciQ799Q6Yp4j7M138FV1OFnuLW5uEB395XWx1yfE68iqX5+XVcceyefsBN8gkCNG5Sp76WcpCa/E7orz5b0Jdlfcgz0vS3zlK18xH/7why+daG/L/18l4jG3xX8loM+YLfbMb1JyOW37p13+H0A2QvLHMqnPAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=154x64 at 0x7FD5F17835F8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JNy4K4KyT7hQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "4610d632-1010-4b2f-d699-61cc9f9e22b1"
      },
      "source": [
        "code = pytesseract.image_to_string(img)\n",
        "print(code)"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1413\n",
            "\f\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "43GJRZqZUHSd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}