MobilenetV2(90).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "MobilenetV2(90)%.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/nasiksami/FYP2-Codes/blob/main/MobilenetV2(90).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-z7zavICTn_J",
        "outputId": "e1c86f07-c412-404d-8939-ae2ccdec0997"
      },
      "source": [
        "!nvidia-smi"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mon Nov 30 21:05:36 2020       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 455.38       Driver Version: 418.67       CUDA Version: 10.1     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                               |                      |               MIG M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   60C    P8    10W /  70W |      0MiB / 15079MiB |      0%      Default |\n",
            "|                               |                      |                 ERR! |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                                  |\n",
            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
            "|        ID   ID                                                   Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0EXalnuk9G6-",
        "outputId": "47f100d2-5348-45a0-f463-5661f50ac82c"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NsomqtU9TywK"
      },
      "source": [
        "import numpy as np\n",
        "import itertools\n",
        "import os\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import average_precision_score\n",
        "from sklearn.metrics import recall_score\n",
        "from sklearn.metrics import precision_score\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.metrics import classification_report\n",
        "from numpy.random import seed\n",
        "seed(1337)\n",
        "import tensorflow\n",
        "tensorflow.random.set_seed(1337)\n",
        "import tensorflow as tf\n",
        "from tensorflow.python.keras.applications.vgg19 import preprocess_input\n",
        "from tensorflow.python.keras.preprocessing.image import ImageDataGenerator, load_img\n",
        "from tensorflow.python.keras.callbacks import ModelCheckpoint\n",
        "from tensorflow.python.keras import layers, models, Model, optimizers\n",
        "\n",
        "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "R1Q8OOg_T0S-",
        "outputId": "67aa8f61-a737-4deb-e47d-9d78e3f428e8"
      },
      "source": [
        "train_data_dir = \"/content/drive/MyDrive/dataset_resized/training\"\n",
        "\n",
        "test_data_dir = \"/content/drive/MyDrive/dataset_resized/testing\"\n",
        "category_names = sorted(os.listdir('/content/drive/MyDrive/dataset_resized/training'))\n",
        "nb_categories = len(category_names)\n",
        "img_pr_cat = []\n",
        "for category in category_names:\n",
        "    folder = '/content/drive/MyDrive/dataset_resized/training' + '/' + category\n",
        "    img_pr_cat.append(len(os.listdir(folder)))\n",
        "sns.barplot(y=category_names, x=img_pr_cat).set_title(\"Number of training images per category:\")"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Number of training images per category:')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "wsQSZMVFT3SG",
        "outputId": "7d915fde-8255-413b-eea4-4cd88e0616e0"
      },
      "source": [
        "for subdir, dirs, files in os.walk('/content/drive/MyDrive/dataset_resized/training'):\n",
        "    for file in files:\n",
        "        img_file = subdir + '/' + file\n",
        "        image = load_img(img_file)\n",
        "        plt.figure()\n",
        "        plt.title(subdir)\n",
        "        plt.imshow(image)\n",
        "        break"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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SBsKA3mCDQVZw6errOHf1aXIDo+GIPHP0+n3SzgJXnn2W5vIyUavB8vnLrF26StJuUhhQIxPiNQqiZW6OazyTFY4PB/sq/hS7HGbOqq7X7+ve8skDYWYdA4jIkc8dJsP0M9PhReRAuCot7324PiNfcoBxZaIkTMt9EmiI6thAs4LU01LmlftkYQ57z7Oe2SfPHM/NH+Z4V/Mrl65Or8h76HhUhHuD/StdLpfXJihXzrwd4M1v/hQtiiFb63cZDnboLC6wuLxMlLbwHvqjIVvr19jc3GBrc5P+YMBwOEDVY4zBO/DOkOcZxsSo92TjjMI5dnd3uXfvLh/+8Afodrtceeq1fPzr38Azz7yGZrMNE7K1HFR3w7kIKAbBl38VpUBw4a9YNLBb+bSlakwI4UkxJHGD17/2jbz/vb/FOBOMpoy8o9VOaRUJhQg+K+i2O4AnH++w/vJd4qRFe7mLLRxxHGNabTZ3drh97QZnEaJRg63Nbe6t3+XZ172O5uICJklQY1AExaASSNfMUfHmwbGN8AlT3Y4i3ZM8NyueWfdQna3SzsA8BPJqxmF15aQdy/3GITM0jVeqnB8V4b4beG25Eu0GwUH7Kw4LrOrZ3rzLcNiju7RId3EJjDAY9dnc3mFjc4tR/xauyBGjJEmM903AkCYNWs0V8rwgSRJEBOccvV6P4XBAr7dDURRsbW1x7946d+6t86EPvZ9P+IQ38Smf8mYuXbxCFDVmaHZ18pVSIzYIttQCilLTdSh5jWgpx/S2pgkLBkMjbnPpwlNcvvgsd65fZ6ndpZ/vkrYt0UKEFOC2c8DQbnTJm8JgWHDrhWucd+dZ6HYZDnq02h18s8l4d4f++gYLy0s0F1ps37rB+3tbXP2417B26QpRs4kTgxcFDCqPsZKJPHGkCycj2+nnDtO8Dwt3EjwM8nk14fHn9xDz0mPGIyFcVS3KpaM/S2Ch71bV3zksvHMF6nPWzp+j0WiSFxmDwZCtrU3GWYY1nlZzgWyUkeOwRlhb7bLYXaHVXqDdXiCOkpA2YCKLekeRZwxHA3Z7Pa5de4kPfOADvHTjo2xtb/Krv/ZObty4zqd/+mfypjd+InHcCNqxghFhH/kqwR6KQbEluRoUV5Kq7HGz7mm3YSVyeMlGDGnc4MzqOa4+/XHcvHaLKO2ibOCiMSYGZzMkVpxXWnGbRuLBj9kd9rh77Trx5Uu0Ogtsb27QXlrG5AXZbo8hShIbWmlE3u/x0fe9j+31Dc4/9RSLa+cQE0EkOOcnpFsNgavjR4nDhu1HhT2MuI7SKutD/fr9ec0I88p42H3vTzZ60GoINGd6rxTqZpQnIc5Z9fboUYIgEsr6lS7jR2bDLVefzbejPLC0vEyUJIzGQ/r9Plk2ohFbmnHKoN+noENrMaHTWaDZbNNodrAmQmwEKqjfq7yCgI2JbINGc4GlpbNcuvwMb3zTp3Dz9kf5jd/8dT7y4Y9w/fp1fuZnfpo7d+7yls/8LDqdhRCHlJNXyF6nqAJiSo0VoEwXLW27VR8qpT23tAFLKU/oCkjTBlefeppffee7GLqCTqOFx6ERSOxw4hhlGalp02i0GAz6pFYoxiPWb93m7EWLFaW/s027u8hOr0cswvYdT2tlkUajwU5vlzvPvcBwp8eZS1usXb5M0moRpwlejyHaibwPAfep5c5jVz2q4dRtt7NIdhYxT8c7Hf9Jhv0iMpcutbcD4KOHzPVeZZ8VZFY+5yXJx2UmOc4OXErAtIb7So0onohPZ9goIooTsnHGaDgisoZmu4X4nK3123TjiHjlIknaIm00AChcQZYPGGz1GQ6HFEUBKkRRRKPRpNVqEZez91I2/G53gYXum3jq6mv4yEc+zHt//df54Ac/yLve9SsURc6nf9qns7q6hvcGYyrtdNqjodJ8E8KmTDmoB/EoZa+tyWTSbS8GRUp77uXLl1g5u8LmxgZLCy1M5FA/IEoNmY7JXUF/OKLdbBI3LNnWCPHKcLfH9vYmneVlcl+QZSM6zQb97W2apc0wWTJ0JGJ7a5telpP1+2zcvsmlp5+is3YW217AGPPYtNvHieM02+OeOezaPJNvB9KZUa6z5fjYKf9THI8ngnBBGI8yxuOMVqNDFAHFkOH2Fveuv8Abfv+bsItdVA3jcZ/hsM/OziaD4Q7DYR/vC6LIkqQNEp8iUZvIdcE1oBDiOMFGSalSpKRphze96ZO5cuUZ3v3uX+Xd7/413vve9zIeD3nrW9/KmdXLHJxAo3YeNNhg1/UoBagv25gF8YgKvuYWBpQTKUp7ocnTz17l1t0beJ9gpYnqEBMZvDgQ6A+H5D4jaUVsrY+JvEGihMLljLIRSbNFr7fNYneJyBpG/T5F4TCFsrKyQjdO2NnZIRZlmI/4SG+LM089TefSUywtLYXJtxrxvpoxy8xwmBlhVgdzUq+Iw8JU16oOnmO1vFOyPQpHvatXK54IwvXO4b3Qai8QRRYtRoGjXEFv4y6jzXtgzjDOC7a21incCJGCVtuytLpII42JIkNkU0QijLEYASTDOwED3lfD/mbwKDDQ7S7z1rf+Qc5fOM/P//zP8MEP/i7tdoO3ftYKrVa1H7RObLjVsUzIFipbr5b+syLBHWzP66FCaXAQxWvBU89c5T//xrsZjnMWIgEP1hqSJKIYOIyJ2e3vkmpBs51Q9HK0zIOW6RljuHf3LhfOX2RndwBS0N/exXrodDs0jKEYDGgklnF/l5ee+yjt3DM8e45ut0un0yGK41K6/e5BE6kfSAM+rnEcb8NU1f20VBHngdh14mI1nf4B74EZ8YUwOnnd+8JN+svp+A6SbSWH3Kc5ZX9ch2P/e9FDirr+TgluKseme7xc89SJVxMxPk5RnwjCVWOQVhPE4NSDWmzaYXvoiDqr7Iw9bqOHsTHdhTVarSZJmmBsoAkxVQVIS+f/qvEoNq41DlW8OAyGQJSWOG7xhtd/Ep10kXe84xd4/gMvsdr+FT75zZ9KlHYQk+LKibJArY7g0xcRDAQJkOH8LtY40BaQgIsRozXnVwFiVIXINum0F1laXGbn7pDFpEtiexTaw6YZBR4yIcpy1O3SRhmpZ1S4kKZNKNQGzTYbMlrfZnllkfXRLl4NjApc7LE2ohg7su1d2p0ObGyTDX+HYW8Ts7ZKsbxCe2mFRnsBkRjvFGvthHBnNa7J+Vy1VPf6qup8Yresnp/trrPPxxVFKs21TFshLOqohRet0tC6V/REDmrP1okbLeOfPFB38SsvhsFJ6avqp4pA9wh7X34fkwY7p/L86qHAw3F/CkDFCVU7rGN25/mo8EQQrhHBGoN6xWAwSYrPhzRbba48+xoWOi2kuUSSNoiTmDCZpZOVZmipcUpeW1GmlRdtmAhSQUXDhJaUhKvBNGCM8NTTz/J5n5fyK+/8j3z0Ix+m213gdW/8JDBx8DYoX7To/pcmEyo2OD9GTAE1YwK1kEjwXEiSlIsXL/LU1ad47433McwLbCJ4gbTZwMUep670tBgz1rCIw6tMHOuLvKARp8RRxM7WFq2lNpEVsixDRoIYQ6vdYTQcMhoOMQiNNGE4GnP3xg2GRUbUH5D2eiyunmVxaZU0aeLUY0SQ8uecwxgzOafK1zEVf28IX78Gsyp23WOi/uzeQ7Wh+/Tf8njyxg/RiPdrsodovaph9DOr8U3CVELv5a3SrGdNzLEX/GCUM67NkvG+htY6VfZHhz4SD8vOf9IFFIflcb6Jsj3UvUEOTgrWyfjR44kgXEEQr1iJQJVsNGTY7yFxwnLnHGmzATYGPEURJskGgz79/oA8zzFGMGKI4qicNGvRanWIkxSxEaJRIFmtVpWVx1i8VyoXr/MXL/KZb3kL7/vNd/Hhj36I5bPnOHv+auneVbff1v11DUKEYMlzBZMRR8XM4VulMQoQxzFXrlzlPe/6LXYGAxqJoRBDZIHIB7OJK9BCyb1DsZjIgoJ3Hg8U5KRJwtbmFru9HslCk4KMIsvIxJDGKbG1bG33cIVj7dwaaRqTKWzfXSfOCsYbW/RHY/rDEStn1ui0FsJCDR8WlYTJw1cW87h1HfZMdXwSe+xh0U/CzNE2p0y4c2EeL4yTkNApnjw8EYQLYLHgPdl4xHDYJ4pjWu0FjIWiGDMebrG5ucndu3fp7+6SF0XYb8GHYbCIwUqBsZa00WRhYZFOZ5nu0gqt1gJJ1Ky1gEC2UNnaCL6q4jh34QLKJ/Lbv/1bvPDCc7QXunQ6KxMpZ7Y2sYjEqIdxMcYwJoraNY+GPagGeeM45uzZszTbLXazXbpOsWKJjWISyHVI7MGoDXlMEuJGG2st3oWJtXw8JjUGGxu2NzdZaSXENiLLcpxkjPp92p0FEmvY3d4mji2dpS5R2mCcj8nMLjQavPTRj3KuyNkd91lbO89qe5k0Tee21z1q1E0AJ7UNnpxsZ2s7sybIjrr/IMVWl+VJKP9TPDw8MYQrCKNhnzwb02o1iNOY3I3pb++yubXB1sYNRqMRw+GIoijQUtMTCcNng4I4vCsYj5Uiz9na2qaztcni0irLK2t02l2MKODD0FGCGSPYgKUkyIi1c5f4eFfw0rVr3L51g+YzTaxtQLna7ICxQCMMMSIRrhhSmBE2GiE0mN6XQETwqkTWsrjY5czZM7z04jajwtNIIpz1RE2LRgWFKokaVCwmTkgajbBJjVMwYajtnCOKLaNsSDYaEscJoh51BaN+nySKaEQxmYzob+8QGUPcKILpYpxRAO1Gyt2Xb7CMI8syhq0+Z8+epdVqYW3omCoSqDReLZ3872cN/axwRxFaZcKY5RFwEl/aw+4fRbYndSk7jiD3yTlnuPvFfje12Zr7gxL6cRr3Sd0PTzp6eRD5K1PWtEnrUeLJIFxVsv4uzmW02ikmtuzubrO+uc7G5iaj4QhrHK5QnFNULUYMxpow/eINHiH3DmMEdaXW6j29nR2GgyG97S3OnTvP8vJForhZDvktYiqbb0mkRrDS4MyZC2RZwU5vi53teyyvnCvDxOXihvrUikEkIbIJmQzJiiGJH4JNEA5quUYEJCKyEefPn+e5j36I3BnUJOQ6wqZK1AQ38ECClRiJY0wUhfS8ho5DPaqOyJqwf8RgiG0Kxnsia3GuoLe1xcJClySy5IUjH44wCpo7JE2whSNJYkwcs3PvNvFZy1a2xXg8Zm1tjeXlZaIoVJOTTZjN/fInNtAQ9dFkKbJnx54V/qh45iHPKo1Z4cOChvCv8uqoSL9u4z4Oe/HK45tXm9NM+aRp1NMrIuur+R6UbOvxP658PxGE673DS0Gzk+I1Z2vzHnfu3mF7u0dReDAGV0TkWUEad2m1OjSbLRppizhJiaMEI5bMDciLjN3eNrs7O7giw7sC7x272RA37JGPx6ydu0SctIEYJIHKxUuEYDZIaDQXOXfO4Yoxmxt3WOguEEWCUwGJMVWT0+q5CGsTRKAohhRuSGw7TBexatCoVZVmq8n5c+dI45Q8z/BEaGTwUYZtG3wfGMdhi8okQYwl1DdfmvkVVR86D+/IhkMaSYIvChQhjmN2ejskUYxFcKrk44wYA1Jgcgd5wTDPaJ4/Q14U3L1xg5UzT+GcYzAYMBqNOHPmDGma7qv8lQ/v/RDOcTgwaTTj2lHh5yHd2fFMjh4sAw8RJxklTONJI89TPCGEiwhpK2Y87nNv/RY721uMR2OMhL2ufO5pNBdYXb7I6uoaC92lyd4HqATzgCpqBUTxbkyeDdjdvsudm9fY3bmHz0dIBJsbNxDrWF29QJIusecqEjTcQGQWRGi1u6yurrC1eZudrbusnGmAOCDeL78KIgYjEUYMmRtRFAPi2B3QKip3XoAkSbhw7iydZosiG5HlShIZfAxpJ0Z3HfgYiVLEGrQiPA+oR4yW/sXBJ9cXrnR2E0bDAZ1ogUaS0tvaYml5hSLPAkGaCCOWSHMARtmYvoWFC2u8vN3jtrvN5cuXcc5x69YtsixjaWmJTqdDkiREUTQxKYQ8PfyGPcs97Cizw2FhjrPZzloGGia89laXvdLEdRyZPolke1JTwqPEkyBDhSeCcI0R+sNdNjZu0+tt4lyBiGIE2o0Gq6tnWV17iqTRxoideBighsmksYSFtqIgxtJsRDTThJWVJfpbt5GGydEAACAASURBVHj+g7/D7vYmDevY2gLnPGtrlrSxzIQBy3GXegCDmIhud5HxaIfRaJe8GBBFCQ5HtTNYbSAKEjY9V/Xk+Zi0UWAPtIXAuNVm6AudDu1mi63ROuNRRmdBEKvYZoRNBKIITNhe0XstN59RqoxrucItjSMK7ynysHG5KRzj4Yik0WDQ7zMa9jGUi0wKh1ePyx2REZJY2NnaQlLL8uIKz99bx1rLpUuXyPOcu3fvMh6PGQwGNJtNOp0OzXKJ9ayGv98ta38pceBe/XzGKjGt+d5W1w+Jbz/Z7oWa38wQ3MLCmoX912ckdsS5lO9m2iQxU+pDk5jEue+52eaO/RHIjGvTOBjPtC1ztryH2Tunr03NcxxCeg+LmOsd4yxT0LHPP1Dq8+OJIFzvc3Y2rpMPM7QQtEiwJmV1+Qyra+dpNjsYk+5NnOzzNghQgt6pwcSJJ8FIhAW6ixc4177B737wQ0S7zxNfvMIwL7ijCefOt0njshjUVt5jZRIpEi3RWSrY2rrDsD+i27VYF8IF5dgzady6QGxBdIR3Q3y+gU0tYTFE0Jr3vIMjjAqNZszqhUXubd6h0A5OHAUQ211sA4q+LwnAo1oQ3NBcSS6CERAMcZTCOMPnBVEcIVZweLJ8TBQJw37Y1jFXT64FOaBeSZ0Q2Zg0K+Dldbpxg8V2xssbz6PdhDPd8yRjYbQ+QjLoLQzYKnY5kyzQaocNccSUBhb14Ktt3akR3t5xZR6QSUMrSVJDKYYFCAcn0fY6GiYxV/bUSQ2ohdHa3+p4pu25lo4RqZY0TG7LtHuf7o2JJs9W2r4w8fsOpp7pxKZ9QfXA/5NDLfNyqKP+7LiPDnN0PHvFc5R5aFbc0+S6/9rD1DCnO3hVPdZ1UVXRJ0TLfeWdLIGiKMhGOUXuQSO6CytcvfpxXLz8LK32EmKCnTVUhHKSS2Sv5ktoGFLbejAwokVsipiUTneVpeUzDHdGbNzdYjzMuX37NjdvXsO5EVAgePbxOYK1MY1mmyRJ6A96uGIcSE5rL7Dc+g2xGJNgTYx3DleMSpLUffW0qpAiliiOOXtuDcRgo5TCGZAIrMVEAiasbFINXxNA936BhMthb9lIiqKgcG4ywYMqSRyDKtk4AwIJGWsovGM0HuMKR4RQDIbs3r3Laish0pybN19id9yDWHDq6Q8H9Hq7bG9ts7Gxzr31dXZ2dsjzfFLuxoaOBef2veM6SdWaTMnGNa29dm1CahzUbqevnShM7XfAnYuK6KrfXsPWUr66TblO2NU7PpSq9GDcVRz1dPbfn0/3mjSJibKgB+SeHycPvz9tJjb9eb1Y6pru9LPTx0fFc2h6R9nC64I/YjwRGm6wwwa3quWlRc6cvUTa6IBa1AeS1bkmdKsVR6HZeAh2XlI6V1/Lm7pLfOBXhTvbO8TOkvmMO3ev02wIZ89egWpRxN4cNIoljhIazZTtzU2yfBfbqD6rM9WzYzAmIooSsgyKPCPxRbnEt1zFVOv9heBdsLS8jIhhPM5p2BwSCe5YUQRG8U4xh9g0q95dFKwEO67LCkxsJwsYBLDGkGdZ0I+tJUliosiSjUdYKzSaDXTs2bl3l4VFy8V2mw9t3OPOnWs0LyU0GhHqPDgoRp5tn5MVBf3hgO54TLfbpZk2MKqI8xBF5aTeERW90kRhX572Hdc6qwNhKg12QtqHxxOIkUMb3h4xHwxylN34QSa16qR2gPir4fFcsc+TljwuTpkLByZGH5EWDPdXho8KTwThKgLSZHm5y+LSGZJGG8GiYoOm5u+vA1Io40ggMsQrKZdf82bOG4N0u3zopY/S629y/dqYVprQWbqKELE3lNv70kMcR2TFkOFwk2azCXSCJgqTsAqIiUjilDyzFEWBLzJMUg1Uq66gfMoYrLWkcUyr2cKNh+SF4iIQazCxwcRhmF6t/PLe73NlmVxXyvNqubPZC1M4DAK+wBc5RWbwSUxsTNhgcjwmTRIiayjGGcOXX2bhmadZToQ7d16k2WlyYfVikH/sSZMEp46trS3anTZFUTAYDFhdWmahs0AkpV1nznd23ARZsCLUNMuadglhD4WKTA8Lc5hJ4YDpYg4/3HlJ9niEenYS4v5YwmGdzMNG3bz1SuOJIFwjluXlC3QXl4NjvxqknBzT++iZqwJWJExvmbj0PEhYefaTQB0+NVwV5bnnf5udnQ1u37pOo30GEycTG2Qg0eDBYE1Mlo3o9TdYWl7GSmuSnlZhPYgRrE0RiXEux7kxlvrwuj58FfIsY+PeOoLgVchzRxF7vAETGSTykCt4JgRaHypOhl8eRMOyDHUedR6vPvjQVgSoIF5R58jHY5IkIYkixtmYfDzCWkvklXx9k0Ej5dylc/R2elx/+TniNKFlW0SZIVaDTcKy351ej06ngzGGW7du0Wtss7q0TKvZhMjOHDbuk3/qXv3+pJy0tuFMqdlOtGcty7ROsIeEOQmpzRP2SI8JOXwUO/3cYaRe7Tg2U189MTnpPnlOsuPX/RDhvGX9KEj2gIb7BHVmT4QN19qIxaU1jG2ARBgpHfxNSbYTA+B8mDxSmma8CF6Cxqy2icYdRJqsrV3h3NlLOOdZX7/N5uYtVMdQEaSW5lksYdvHiPF4yHi0w/4+s6qYAAYTxRgT4bwjz0eUbFnKU1F5MC8kacLa2bMsLa+UWqlQeI9HkUiQKHxi3UwWaOzBez/5hTmrQC7ehU/NCxKWAXsNy4MlTGypd/giJ8/GGDyinmw0xBohMpbICdnGDnF/xJIVBr173Nu6hZew73CR57iiQEwg+yzLGI/HOB8+2vnSSy/xwgsvMBqNJkOT6U5iuuwm725WA/SKeA1/NRDw9PGsMFK+v/quYvPUnQPXZtgU6/emN/cJ+T0+reM0Wz2EbO8HoQiO73Qepj/1caj26jjpnh2VjLPaxCEPTDZkeqXxRBCusVE5MRZ28Noz2Qc3qMkM9RGoNNo9++hk7dh+JxkDGKHAEEUdrl5+PatL5xgNx9y5c4Os2CE4mGkt4ghrmqyunCNNmgyHI/aagtb0YQEVjEREk0UQGd5l7G1mo/v+NBtNLl++TLe7iLHB/lu4cgNACxKDp9iX16qyVZXUe1/uKRyIVjWcq/clCWvwm1UNS6Cdx+WBcPNxRmQNvijIhkOSKMGaBkVvjNvYZslEyGDAnZev0dvdBqPkRcH29jauKLDWMh6P6e/ukmUZ3ntu3brJe97zHp5//nl2trcZj8cTUwiAc27fRM4szXfPTlu3w07Zb6fNAVN2wQN94jwkeJw8cOjxPDgg40PCtIyn2MMrT7N7eCIIF0praZ0dpZydL3/zxLDPFYXJB8IxdcuccajR4D6GIU2XuHL5tSRxk42Nu2zt3EaD0xQTW64arG1x5sxF1s5cQL3gC3+wAVeJmLDqDCDPxxTFHuHue0TLvQm8srjQJcvy4OHgFec9ahQbmUNrTNXTVx4MUpkYNGi7Wmp/FdnuaYMlQRcFRZEHjdg5xqMRHkGSNuItxdaQdqF0rWXzzm1u3rxBfzhASltyvz8AVaIownnPcDgiyzKajSYLCwusr69z7do1NjY2GA6H5Hm+zwY9vUR3FoGqMtFaqeSvHUt5f99xFQ72tNw5alCV5vTfo4h3Xswi6YfFjUfJ+LGOgyML3Xd9cv8J0G7hAQlXRF4QkfeJyG+IyHvKaysi8vMi8uHy7/I8ce2vgFr7+fJ3PDx7hFZNY1WTVNW2M0j4vHlos4JoxNLyBc6snsX7gpdvvUhejGakaTGS0GguYExC4RwHGFcrU0bpHoVSFDmuyPdu7kOQ0BhDu90hipLJFxicDzZYE9sDdaXeoCaVKpzsO59ugL7W4CsiUufJswwU8jxnlOU4iYltihtkuN6QtU4XcQWbm+vc27jHKBuRpmHhw2AwwDmHNQbnCsbjMUmacu7sORqNBoPBgM3NTdbX19na2mIwGITvz5XldTjRTsY4E61zT3M9RtvUvTpwPziKUA8j5JPE/XuFDB8nps0F87ilvRJ4GJNmf1BV79XO/wbwC6r6bSLyN8rzv35sLHXql8pDAOSAGjlfFGVEtf+rgwiDJS7bpYhgkw5rl1/L9c11djZ36W3eI11rlRMWYcNzkQilgTEQJQlF3iNJy0/p+IjK1d+jCBZJukjcxBV9xvkuDR0j5cLbSWciBUKDKFqg0XGYeIRnCfUrKOsUbGPjBEyB9wZnUpQIq0rsx8QUqHrUWLyJyEvzixoXPCAkmBsi70OqxpJLXJpUFGOC6xbeYJzBqMUNHGljjHjDOHeMejs0VpdZ6Fo2e3fZ3b1MWxaQtmKjiMI7ICeKw0btwywLWrKEN2etZXc4olAY5QXRYEi73aLd7hBHEdYEbdT6MBJRHzZf9+FbxpNFKJN9wev94L7zmp22Tmg1s4SRg6OS+sRduCeT42l/4RBNNVFZJ2SdfP5or+pVQu9VvSqtPRPX8XaOqRpck+fIxyb7dVQmr8o8Y4wt/Zt9iHdf1LMnS6Y7iCeNxI7zzYVazupzCo9etAN4FF4KXwR8dnn8vcA7mINwD3+J873cg6FmPadQbjuztyJIwFjaC8ucO3eJa9ef497tW6wsnw2VU+I944JEoDFx3CAf5qjPS0221lYr7cpEIBFeq/0OHGEdU7mBuWi4JmH/3lY7IUoEVYOSlIYQD8aX5pWygWqY5BJRnCreWJyJcT5CXIRTh8NhYxO24TGh6zIa2n9sgyuZUxfMDMaCGFQ9DnB5gZGYhsRYFUb9IXbcYqXbYXN3h42dTRYaK8RjiFRLrTqYGIJHhGFYekBUlbrRaOBVGY5GiAij8ZjROKPTadNqJETVu/JhRGIrFzuCVq66R4JB45U9Apz2+TlUe9TJJ3L2Xz4YXmSaiCbW5kPq1EFUa2H2kqk7nMnMJ2dpvqFdzEENM5tJqU1LPbV9hTWZf3gceJREfVzcdbKF6ffx+PCghKvAz0lY4vVdqvp24Jyq3izv3wLOzXpQRL4O+DqAq1evPqAYDwbVoImdP3eR27dfZnNzndFwl1anSVi6W248rmG/3CTukA3LPR+slrZToLawwYjFmPCFBlfZKmd9xE+EOElotFrEcUKROYwKzpX7zaJgLB7BeIfgMChj79AoJrcpu07oZcpg7BiMB3h1NJspaWSJjdCMLe00pYOnU4wRIFbBqGKsx5mCQhQnilewrkMsQqSCHTmKjV1WLixxuzlia7DJSrFLmndIzd7kXSQR2Tij0WjgnKMoCowx5Hke3M2iaDLEG4/HZFnGaDSi22nSTBs045hIwhigWhWGVnbZuqdD6WlxYNhfH9/MYuKDZHvAPWvu+nJyG+794qBXx/zP1eWb3mfgSdNS7xf3m4/pfSMeFx6UcN+iqjdE5Czw8yLygfpNVVU5sBh9cu/twNsB3vzmNz/GnM/QhUui6bS7nDlzjs1bL7G5cYfWwjLgCH7BldYVYUwDayNckRElzcDFU3EasSRxioilKIIblk2mh5AmDF0NpGkMIgxHY5pSkrQleGiUhBtrTqQ+rAuPUwamwe1xwZ3+iHWUfmyxzQQRxRqw4vFFjik8DYm4aGJeLxFNmxCrYnzYp8HgESnwxqEYnBYU3hB7ITWC9jIWzlnOdNp8dL3Pnd4dunED64N5Q0TCxFlRMBwOiZMYp+Wn4r2n3+/TaDSI4xhrLcYYnHP0d3dxxZhxo0HebNJMEiJTN86UWogXVEsLvWo5iaqTMAH1qjwZk+wdz9BuZza4ORvwNOk+7K0pj8Nx6U0T7mTj+Cn7/5OOV1IrfhR4IMJV1Rvl3zsi8uPAHwBui8gFVb0pIheAOw9BzoeIKTtVeWgk7LuwunKO9Zsvsr5+hwuXn8XYFKnGhyqEEVpMFMW4Igsbl0yGbFKL1BDHKcYEv9XCFcT4UmPe+y5aZYqIkhhjI5wr0LjmGieKWotXMOowWlBIzBDDXae82B+w6xXaEWnisFZJIksjTYgM+Fwp8ow863NnrDjXYLW5wErSoGMMTQGjGeKVyActN/NjUhMRq8VkiuyMsTsDVrtNbqQDeqMthsV5rIuIJKxos6VP5HA4xKPEcTxx/6p8dasPUlZbPDrnGGXBZcw5R54mpHFEbC3Wlr6TSPiChSpewwSqyJ79U4OdYLIZDnulWppvj/d1PYmj/Cw3tJnhKgGOxP17KuxLW2YndVIt7iiZ5yH4kxDYYeaTWVr5vDKcJK1XCvdNuCLSBoyq9srjzwX+N+Anga8Cvq38+28ehqAPB1NEW06CQNhTVyRsnJMmKbu7u4yGA5rt1sQUIKW5QCDsQ5AVKJVN1dT0p+BZEEVh052icKVrWOVxUQ5/VQKZq8daS6PZYkd2EbEogscHU4I1ODxGwuRMYRr0iHhxu0dPFGl6uvGYtYbl4vk1EmvJx0OsQKe9gHrH5uY6G5lyc2DZ6G1xThY5E7c4mzRJc0NUQOwMhozMFhSaU4glwhDlSr6+zUK3wVLDcLu/w/Zgl7SRhrLAko3HJElKZG3YEEeV1AYzQrU4wzk3+XqEqmIji3OODHDqyF1OZASrSiOJ6TRbJFGElN9wk4k9sjI7QDWbpur2vd8DLljVS5+y400ThZZ26Truz4QwZcQ9JMRJMdtMcDCpwzZ7OWoTmHlkPk422efbeb/P751X114N2vg8eBAN9xzw42VBRMAPqerPiMi7gR8Tka8BXgS+9MHFfEio6mpNEdXKX7Pcb7HV7LK6eo4XX3ie7e0dmq3lQIqiJUES/lpTzlT7CX/uzSiHiitYrIlQHVMUOVpOdlVD42qW2DmHjWM6C11uax+VsOIsNC6PtYYCX+6bEDGWmFv9gs3cYzqQxgOeunKGhdhSuC02723SaTYY9HssLz2DMdDMPenQcfHMGbbubXN3Y4tRMcIkq6xElqa3xHmORTDicOLJBRAT+ondAelozJnEcnezx+Zuj8XFxbBowrkwE+5d6VfsybKMKNnbwcwYQxRFeO8n/rgpSbmdpscXHu8dSWSJxTDc2GXbr7OyuMhyd2HPC2Sy3HvPC6Ca0Dro0bJf660m2w5UC60tmZbDw9SH4seRsE7qwVGYb6b8gK25Ju+8RDSLzA5qwAcnC6dx1GhgT6YyrmPy8XsR9024qvoc8Ikzrq8Df+hBhHrkqHXkoQIFF5lQWSLWzlzg2kvX2djY5MzaZeK0bnvd0xDEhA29rYV9k8FVLy+WKErwOiLLxoTNFurewoFsMOGjksFOLAim9D5WvICxYQsdVXASsZ0LdwY5LmlgzQ6vudSgkWa8/+V7nF85Q7qyyGZvBxLLvfGQtJngF1qMd17mSrrElWeWudONuXljnWs7I2x3lTi2SOaI1WG8wxnPWBQVQ4zgRhl+Z5eV1RYdA9vDPv3RkEY7pvJ9zbM8fApIhLzIGY8hTdPJ5Fme56RpShyHZ7z3JM0I1OBRnFd87sBGRNaws7nFjRdf5Okra1y4dIk4aeAdwXNEg9lmz/VqvP8dl6aGfXvkziCu+rH3HjWzGWcWwR7przszlukw9+eadID453GLmse8IPfnszDdAUyLdFi6Hyta60nwxKw0e2VQ743D/rQgtDuLdNpdtjZ3KFwxsRfus0iU67O9LyaWif3NJ8RpbPjMeZ7n5cTPfhiR8EHMKCKK4r0hWUUQQrnJeIg9x7AzcowlJhNlebnFpTMp2eZdLnUukW/krNhlFnwHsyP0Xu6RjFO0B4u50t15mTV2eeZ8m2dfs0Zj2bKRrbNdbKOpQ6XAeI/zngylkLI7cp5sZ5um96w0m4yzjO2dnbAjWtmgsiwjyzNEDMYGc0Ge55M17865yYozgLzIGY3GZHlO4RxOPV6VcTYGEVZXVlheXOTevZvcuPYC21vrqK+WXZeEW/k2C/t/wEH2ONo2W/mqHhVmX1gOJ5N5KPd+ybb+O8lzx157AA10f3mcarKH4YnYLexB8eA96H67VpTEdJcWuHX3JqPRNo1mi72iqswLDaxthz1v03H52fK4Vtc8QoPItPB6E49ByUDboNVyXVcOdCMkz2gaF3YWiyIKUhxJuTXlGJERmieM00VuFVsMo12WE8czCyuQebrdRcRm5GnE+r1rrC2fY3trh0HfkY+F0a6yueVpxwln1ZC4HpcWlbVmk+svrnNja8xu8wIN22StyIiLjEQ3iOMUbMrYtsmHOcvDXS6mcMNvM+xb+mfWELHEYrHjDHSExhaNLJq7fW5hlR13PA7aqDGGIivAg40i1BvCOkBBvRJbS7x6FnzC5mDA4OYt1haGLHeXSRttMhOR2QgnFuNMOTagnGSjtIFrWBBiwLraVo6VB0T5SlGCjVxl5sLGGVNyQaOrhuHeT4WfNnAc3PWuUsKPgs5ThXV/REpdC95LezJGm7EUdnJe2/NiVrigvcqkDMNf2ae4zIq3woNMfB1lQjnJxOc89x8VPmY03LkKcFoDmmi2+43yYiO6S13EKP3+FqirQpYBtHQPS/DqA0WIZ1LngkSADZvYGFCy2sROua2OhEYaPgWkGHwwJhgDJkIlCi3OeMR41Fsyb9l1Od6OWGh4Gup4/rnr7PTHIEpv0GOjt8XmcJeo3aC7tsStzTukCzHLF86xnRsKNeALrOvTtBlPXz1H2mlwa7dHTwwjE5N7hxRjoqKAQlFvKTJP3u/TsZ6VlpCPewyyITlhf7XIGCi1WhEz2b83y8LHKyuXMO89RVGgqhS5wxWlDTf3uELJc88odwwLz8B5XNQganVwCnfu3uXF559jZ/MeEQ7Js/A3jvDG4IBcFacEW7sKVgVbbl+ppaeD6v7fZGF4ue/E9E/qP2rX0b3dyGq/g5ro7Guz0jo+rr06P+u3/3nKOOYnmePJav/felvaOz6IOpF/LHgc3A9e9RpuVcmqjbgfhl1IMHS7i0RRRL+/y+zvU7E3/OdwVcXGMZG15UYt1efNp9MLw/E8z/Z20pJaBS0XF3gRsjwnL8KncprNJs1Wk/awzWL3LI1kgVaawuICOzsDjBV2htsMRz0GxSZry2cZ7eQM84I0Dp4WgpAklksX13Bum83NuzSbbVabDbI8xxQyWbGW545skNNeatJtW273d9nd3WSxvYJXg7FxudeuJ07D5uqV7dZaiy3t1M65MFFYnleTaJWfbqUJe++x5Z66cZRiWhZHn53BgI0Pf4i1rR3On7+EyQv6zSSQLOEz9AbFeLAe4gKMCiMT/Hbndfs6DH6u4fz+N324nfcYT4ZZFYaDdtPpe4fHt2f/vT8cItA8T+qsibrfW3jVEy7sJ10o7asn2F/zIIRGo02SNMizvNycZco2Va/o3lcf8Z2KJQyVrbUULi/9SGfID6WNN/zNsxxiV25LGSLyoqhRsiKbbJyz0O2QJBFxHDEcjLl7a0Cr3aK7uEraHPPS9RdYXOmysLxCq5PSH3q2cuXa+i5LixGtRkQSR1iJ0FiIWxE2z3lpZ4NMW5yPmlhNiJwhwpOKoEOPHxc04jERY3a277G2chGfxqgGzdx5kKygEYVPBRVFMSHdSsOttNwkSSaEOym3slxd+W024w1jB9YaaDRxzrFxb53d7Q8xWt/kwtnzuDOraByhscWbch8HFWKvxE4RDxrrPsKd2fD1eEJQ2T/EnbmWn4N98IF45yC9wyTZP0k15xSdciD8SYm3MiWc5NlZE3ivNF4pGT6mCLc6rtb1VxrUySO0GJuQpg3yIse5DOKa/yywZ4qoGtcsfUXDpJi1aLG3W9c0BDDGEscReVGQ5RnGONRWPqQaCFeUwjtUPGKFRqOBAO12k+euXae3k5GmDZZWzjAYZ5w5d5HO4iIbW9ts3h4jUcogWmB7s09jANbkpHGE6BYuFyLTYPXKee5cf4nrm5ukiw0SExEVYF1ObJRsrPhRQRo72qlys79Bb7DDSmMBhyD/P3vv8mNJsud5fX5m5u7nFa+MjHzU81bdvrdvd98ZGmkWLJHYAEKC1UhsGBDSbPgH2LFlywqJBWLYINjBgt1skJAQEgjo6b59u25XVVZW5Tsj4rz9YWY/FuZ+XnEiMrIqq27WaH6lU3mOhz/M3c2+9rPv72UsokpTN0Sz5m6996vAh843t3MX60CgqipCCOR5vgLm4APOZgSUKJKSnvcHmF6P5esLXj17ih9PGFw+pDg6xB2P0EGOtxZvBI/QCDgDndFyn6fB6ne8nbHrTUYrXZk5bzjPBnhdK9f0312wfZt+frMv7vY19hx94/63cVe76e8/ZDL4Oci/FIALKSuWtZYsy6iqaqVRfT+xiFqOj0548uTbdT7bzf4nILbLsaDEqFxRqttgCGtt0qziVQ1XFUIMKX3hxWXat+10pu1wUSNqBa+exssqg1ZVLZnWnqPjEb/+1acsyxpjc87Hc+4en+Fjxr/43TcsK7DZgKWWuKMew9F9xmGJkYANioaAs47cOk76jo8/vcuX9Xd8PT4nO0igO2zrz8dKkVpwoaLvHNVyxnh6SX10n75xqGjKtRsU71PEWRfKW9c1RVGsaAVIGn3WpqTsfqvq1n5BHThDVdeYTMhszuHpGa8nMxDDfDmHr75B7hwTFyeYkwN8P4NeQWMMiJC5jKJJPPs+f9r0Mmg53Zt7R9wByV0f3bTPttHsWoDZ+f19orVudUzr8nUjf/oDAe46rf+297RPW/8pQPenpDh+toC7+ZCMMauBraqrRCnf/+QGMRm9XooyK6slBwebPO52Z4qq2Gv7sGBXy+j9LzYFBVga3xBDwLkeqcZZW5XXmrbyRUstELFZToyBP3z1BR98eJfjs1OGwx6Pvn2C14xiJDz+9jmzMuLjAKGHGTikEJZRqIPFuQJjFDEBJ0qlgVk94dNjy+LDU/7ub5/zpJoyGh5hmwa8R2tDs/DkRw096zCizBdz6lATM4uYCHhiBO+zLcDd5G6dc3jvV9quiKz4265yRK/XA03uY8YkA2JoFDFK0R8yOD3l8tVzDvs5vedj5k1JVs1xiyPsnUN8tR8JCAAAIABJREFUvyD2CzTPCCZig6bKxhvU024/iapvVDq7VceN1n62T7OXa735Mrfe500i3TJMWN17N06uXu2ql8FNIbaboL+pLFzbjj+ivK0nw48hP1vA7aQbNKrJ19U5twLe7ytd4cg8y9EYqesuIfmOwUAEY2TLleZK+0g87qr22N59BGsdqrriLVVja2hLLYrS0Qqt40KrTt+9e4fJeMx3z1/wwQefcXRwj1nZMJ7MmSzmeDJOH57x4OEv+PtvvkBY0jStW48xiDXUdY3JwOXQVGNcqTx8+ICXM+XpkzF3eo6ehdwDwRKWERcChbM4E5nOpyyqJcdZTmYUMR6i4v06yswYg/ce35bl6bjdzkDWDdhNo5pZGQsDLqQnFWMkWKG2Su/0hItqytPFlLOTgvlkTnm+pFctyBczzNEh5nBIHPag16MJFrXrLr/3ne3xw9rtS0HXgL31Hjd5Vd4doH7fnnwdv3u9H69cudrb8LTdxPnHBtb3WX7WgLtv+dE52n9/OoGVG01R9FA0FUNcDaHdQWaIUddaxK5saG77jWbagotgjCV2S7KuZllsLevdyTfczkYHI+4eFEQt+cNXz/n6ywts4fj0T37Ji+++JcTA8ekd/sFf/imzZcC6ChvmGNpCnb6iqhtcBtaCaEOsxrhaMMUJduCIw5xX1Yy7/T7OGDQaQq04H1aeCNOyZFmV+MEQZ0has64NY1mWrQyZHQB3HgkduHbvM8uSVtwVpswyR547YmxSuwME7zF9RyOG4uyUZ48ueRVLhgeOZlqi5YJqWeIWJWZ5SDwYoP2CUAzJ82LVN/YZVo2YzYe8F5iiXq8hr9/Om4FSr7H4b57zOt7/pmNW59/iVFlda1NJ2TouWdVudb3d63TKxA9eXf5LLj9rwIXtTrU5oH/IS1cREIPLCqx1NFWFtsmxWyoT0/kdGkOMDdqxdisNKWV2BYc1OQbTOsevE2d3hhVrMw5HDxkN76D6mKgNxALVPqoLimiofYE3jibzND6F4E5eXuKriqOHZ0gx5Le/vc/r6SWNlszKCq8ZDx98yjDvUc1fksWaKBkpB5fH+xolkmd9rBGIGXWdseSYv3uy4PLlU+6OBry+cDyRPn9iJuTNAl+OyKshrl9Db0pZw3wR0AOLywIOi1e70tg3C15ubhNrqJxghBRBFhuGAlluoVFC05AZh/eKMRFnNEXzhshivqAY5PRkwN3Dh/zt0y/4xZFlFBrCbE4R+8Ra0TJiFxXSF8rhETIaEvs9NMtAUqSaJeX+NVFQq1sYuFcTjNJS94lPX3kGmi6YQhE1V93/djasjK3CKoBCuj/Iykv8BleFzjd80wd2z050gQpdKSa6DshmCnLd+P9NRq3diMkrdMoOl9uNz9vws1conmsCMXaPeROfvXquW21+M330ruVnC7iby+9NS/cP1m5JgGvEYIzFuQxft4lnoLORpXhbugJ1sF1RrdtRoNUmjTE7KQTbvUUggtAjd31EAiHUiMkReqjOkRCx0YDY5LnQFoywEV4+f8m3FxeQKR/cGXL37oiFWuoQMOaA48OHGC0YuB5GHDVCFSokB8kMmbWohUYFg6NhwBffzvlqofzFJw85kMBfLYSnS+WTTOmFQAwG1+RYKbHZkiB9lqUnBkGsYjGIGhKXG7dAt9OGvPcYa1N+3xjILfg2VaPp9ylyR9MoZdOQiySDpEu108SmgAZfeqwYjopDXh2e8u38JX8+dMTFBIkZ4gP1eI5tluQjQ2giZV3BsAeDHqbXx7qMqBbUkOHSxNolc7vGEyElQWcPMKe3mips6NV881cQmPUqvgPttkt0X7ocGrvSraiSK7hcu89aaZU1vrTb0vdWz+6Acfca7ALqfh70x6QS3uT1cNt9d7d2t/VT6uM/W8AFVgaXztLdAe4PPm/7r7GWPMuom1TZ1tj1dd+2nXDNZNpOvZ3bVGfICDHQtJpzIIIVRC2ZOlxwaB04Ohzwy7/8NU8mz3n6/CWPv3xEdnRIcXyGqMOYPlk2ovGOvH+CZAOWzZSGQJ4XZD1LUE8jbUSWGJYhcjGZc/fuhxhVnjx9zqD3KctJzVJy+mqIweEbj1GhsBlGlWU5p/YNjQsgdmX06ybFTW69oxCMKsXrcxbTKf2DUfKztQ05DpxjSSBkFhc9aMqYJu15IC23xViMdZye3uPV+CXjOnJvdEx12WDxRO9p5g2KgyD45RI/z5CDEe7gAO0NIS9S1CAxJWWPXc2y/W8tthUo2AAZFV2VCdMV2N7cT1Yk1Sb3u6Ed6gotb6YLrqMCtiiFtr2bf0v3krRVa+0t6YTtmeYmb4S3taPsguXbRMbtep7cZoz+MaiPny3gbg3cDd/OdxVtpu26P88L6nKW6pJtAe7tO5NIWsTv15YiYgRrDTEGXJb8cUM9p2qWSE8QF8EEJDp6FGTREesKI5Ei83x4L+Phvc84f1LxbHxBX2PiOQuDcTlRLNYVuF4fw4LC9jHOIMZASBqUwRADYAs++82veTlZ8M2XX3A0GHJ6csiT85dcNpGR6yNe8T6QiTCwDoeyWMwoQ0WtkJmuqOaa3+sMmltBByFwEAJ+OqUZT/Ftwpzhwwf0PnzI3BoqAoSIsQ71KcENLkuGym5yNYZ+fsDRnYc8f/WYg4MDrAs4X5NZixDwywbnBaxFlhn4iPeBpl+Tjw7RHohxuJh8p29apq5yzou09BOsQEhNq3G+uX9s8rxvG4F1NfDh6rFvCo7YBTfZAe7r/HB3h9cmXbQrbwoQ2bf/28ruSuR95pB/FoB73UvoHmzndvQ2S4+bRARCVIwkIw4tmK/+vtu5b+oksqmkXLef4pzBZR0gpTDgEAORQDCBaBWrkSIKWTD4CN5XIJ4ia6ibwIcfnjG402emBpcpdSgJWhOxTCfnNHVJjqVpaspygc0MRa/AGocEqJcN4/mU8k6f6etvGGTw2eefMK5rbL7kfBk56w0ofEP0ARsdfTG4GKiaJZXWNOJwkjjuwPoddRnCNgeej4HSNAyPRzBbUF0umE0mzJZLHgz6DM/uJFe6GDCuDfltYqIVWHPB1jpMUA6P7/NycsnzynPWy5F6ifENBqiqmqyKGGuwWUaMgeg9flnhy5pwdERvNCKqRTcmSJFkGN16pV0ABdICrGmTF8kqSXryLtsGgStcp5Er4Hw1eOD6yX19Trlyrc1zrXrejhYIbCko+014V+VNfOl143WrPW8Y0/uuc9PkcVMbNt3ibtPOH1N+FoC7K6q6ci/qcq0CqyXrDwVeVbDGoApZC4IxromvVa1ITdds/M0vbsUr7+PZgKipokFVJfczHzyigTxzoBUq4EOD1R6FCoVYGoXJcomcDvF+hmDwfk7ek+SyVSjTyYSL8VOqlw2PvvmC0bDHcTHgxasph6Ne0kzqlHQmVoGBG/K6vuR8MebDsz7GZ7w+f06FpT9SxouauTQU0lDXAdcIA2OwMeC1Zl4vOZYhRVRc28ZN2XxnqopHmR3m9AYZxiqnR4cMp0e8vBwzef6CuwcjhkZoQoP6ZAEPCt43bbnv1ofXWFwQSrUMzj7g5ZOvORjkRG2QEHA4RA2xqhBrsTESfSCUFYxG+LIiNhWZBugNMcYld7+Emlf6kqVbxbfcskibLEzaoAhdvds3Lbk1blMJ3X6rfVO6uK3jd7VG3agisnu99XnWXO1tZF9b1pr0VcNWt+91Y69Tirr9umM27S/7ntFuWzavtSvdtpv8rHfP+VPLzxJwYf1yNzXbzc8PO/nV66woOV1rHNebEjZkg5iXa/hlESEET1WVLS0iuDwjlxyjCzSm07io5FHpWcNF8EyrhnltcO6QVKbHUDUV00XAZhYfan7/u78mLwoMAaORu0cn3D+9w+VsQlWVKZ+B5Hzw6Ycc9g/53y8umDeef3D/mJ7rMTcZwXhens/5mxcLZjFy10Q0KiZEetaQS2AZasbVlLNYEIhkXF2Wx7Z68dq/Vqh7PXztyYc9zmclp3dP6HnPyxfPuXN2l8FwyKtqAZpjzQAjhsZ7TN757CqZEXoINRY7PML3h1w0M+46JVQNFkcT2oQ2IbQRfw1SVmjdYPoFWi+oQwWnDyn6w3aZrBizx5k/+tZYalN3iK0hjVbr7XpDx+deo9XtargdkHZL9ASm39+SvsVr3mKffW3sZP3321G9NwHiuwC73ed6G+72bTTkH0t+FoC7+5BEZOXD2UW3dKG874RS2L32NQELt5VOG7J7ATdpDb5pWCznhOgTXywtMKmg0YBarEIukX5haeqGi0XF6znQQPQ1k8vveDGdEPIhxeFHGJ1zcnTGn/3mT0FLltWCr755jBIZHAz49LPP6Pf6FLaHI0OC4Iojzi9f8jqcY8mR03v0h5G8yAn5kGmtBBshBAiGgS3o2cBF0zBdzmjkZLVCMGquaD8d6AJgBIk5iMX0LE0dqZxBCke/XzB99ZJ7eU69XFCVS4wIedFH2yASsesVTRYiBoO6Ahkd8PzxE4qmxIQA9FDTp/I1hoCLBieCC0oT5zTVAqqCTCIvNaN/5BkMBqu+ddUQG0ETiIXQUkBi27eZAFc2eV32W8+jKsSrblOdLSI9O9k7m78JWDaf+UYnvLLfbQBou33fb3xdaxR8S9lHOey93xvacZOW/GPLzwJwN6XTarsO2UUtbRrM3uksJnJr5/PrJXX2fRpu0JQDN7aThkiyGKdE2anOF5rqoxkFJ0qRG9QLk7Lh1djz5MsnOBMxlBzd+4CQDzifRjT2aJZCZoYUWY/BcMTj89fM5lOWswmTr5Z89OFH3LtzHzEWK5ZgejTlgLiMPH95weRZxeigxIwOITtiNokwsGjwSFAK48htIGpgXi3wsWszyEa5mm6S3AwtlShki1TDDB8wNme8WJINeww0Mhlfcnx8RJ5ZLidTXJaR571Wsw0YMYixaIzkGsmcpY6B4vCQp+WSmV9yoDnzsqIYHuOdQ3wDUbEoVgEfCJXHl3OqUFG6AcuQjHzD4XAVhrz1znyZAlVsjohteXohrlwBBYygcrPmpZv1RHe025XNQLb79Nus4G4DbDd5Mmzus/Hr1tfelM5bpYu43PTN/iGyD3R3RXb2fxMH/WPKGwFXRP5b4N8DXqjqb9ttd4D/EfgF8DXwj1X1QtId/FfAvwssgP9YVf/vH9rI9ctLTtfaVsk1Ji3Fk9/tu3uIm5bjzmLdWkG29hLRxNmJQTEbLuTdWVINs1QQMkuuSQBt2XVByMShseR88pLxYgEyQmKGlQbRRTpvHBBCSbAeCUtOxHLQ9ChnSnOWcffBMR8/eMh0vkRNZLxYYPyCk0HBbPwdi+ln5HfuoFjyLKcJFaWfU5iMv388w8eaj89+AbFHbh2xLik+GvH5px/Qi46yfMRcIxfTmpkuCb5AmuSmZWLNgRWUwKwqwUdUPZWprwyGTT9cVcUaENuAWqLkGCfEJpCbABIhNly+foW/N2QsFb2DHtE48kYoY6R0gb5AVteojcTMUtSWYRjw+uSM75ZPOM0G2EcL4nxC1rdgoGmqNq97xBjIxBLKJXVZcZhlhIM7LBqPF0dv2KMfGzJA1BLUEpqkwWYZOGda5VHb4JdumdtGrHWAljZ2HWvdz3QbnLTdqO12Y9cAuwu23bMUY8Bct2Tv6A25Fiu3luetVr2toSffYl0fcC2vILJxnxsSg2+jChPY2jzfuv6+77cR2bivTbu0tAuDfbbqfc/pp6IZbjPF/HfAv72z7T8H/rmq/gr45+1vgH8H+FX7+afAf/1umgkQEQHTulB53xCCp2lS4m5rt93BfhCXu7Z7JGDfe552KdmC/7qKA+0ngnogEBVUHa25ZdUZuqIwKpF5NWFRN9R1Bt6RmYA1NaoGiT1iFLwJiC45joaTMETqgnlV0RtEFuU5ry8nPHr0DS+fPeZXv7jL55+MkHjO14/+Bh8CUS3OZul+jMfkAbUVT59/w2R6gcZAvZhRhCUzUzHplWRxxulI+OBOj1HPM2GRSuB4m0rX+IpDK1iBKgTERyRGKuqVltYB7K4BJhJpbEWpDY04ghSoyZjOZ0DgYDiknM2gWvJqOeaZX1Abi1WHBkMZPE2oMU1FGStqAiPNOKwLBqf3+dJ6LgsY9iy6vICyTpUfxOCtYWmURfT49l1o6XGPv2I0eYUux1xMzpmWS6q6ITSBGEDVAjkxOmK0hCDEALHNuqYxQFdJor3vZByLq+egbVUJBWLU1acD2bVBzqwm/H1g2wFuiGGliMSN79ufbZ54dzJcfVdWykUCK90CtJVSkRq7FefWgVv6rqsPmjxLjAjWCHnmUvL7HY7/bcerSJcBbd22dVtkaxxfOW4PNfFTyBsBV1X/N+B8Z/O/D/yz9vs/A/6Dje3/vSb5P4BjEXn4rhq721G6B9dlnXpn12H9nlZZobq3+jbSzr4dB3zdEkp1TYfY1utCw1pbIkYkaBvMlup2nRyMMOqZjseYvMeTZ8+5fP2KTz/+kH/tt3/BcNBnMOgxGOY8efqIZ6++xYcqLXtthkrGfF6BWOqm4cWrF4yn55T1Elv0GE8X/OHRd1wsGmrp8WJas6CgMkPmwSX/3ZAGnbMWY7oglFaT8WtNtqOB0iNZd/aUg6Kt2ht0pe0JYI2llxeEssa9vqRXe548+5ZzP6fO0soja0ADVGKpI0iUNhLNMuqPsGqZLhZkR30aqSnnM3xdJbe1GDGkpW5VV6gRgoFqHpm8fk0WLonLp8wvX1AtI1WVUTWK1yppsjuc9Oa/13029+uAd99g755Rt+zemqQ2j+/GQtRVhYzdv233M7323x8TdLp7ybKMXq+3J0vZD5S3aPo+r5Gfklr4vnd+X1Wftt+fAffb7x8Cjzf2+7bd9pQdEZF/StKC+eSTT268WLeiDyGswHUzI9i7MpZtXbMFuxjCOtxyw9/xduaD1PCwIulNu+Ta3Cc5nGeZI8aAsYbMJS0+adCChIAJEYm0NbrgILNk0TObLsGe8vCjT/GzmlCXvHpxyXg2ZnB0wsMHp7z+u8f87d/+P/zDQY9eb5gqMkiO10BVB3o2Zzy9ZDlZUlZThic9+n3hol7w+z98yb0HjqY3IrgBy1jSiE12oxAxKjgjiV4JqbJDbIs2ds9q0zthi2NXhWgxkrWZKBTrLMumIZQLhJw7wyOaF084OHE8unjF45PnHN4dYeu4CmRYWkU0IEEQTSkse1mP48ExFy+fUx8eYEaCXjTESpDcpWtZQY3BNx6cIRrBxgGLyzH5XRgWh8wmSsld7OAYshqxCwrNcSbbsiek97sewNp2ms0JZnPCVVXUrJfpuxrXlovTNcauFRDfxpNBdetau/zujwk6+7RYjRHkHXC46QI3gueuwX13nzd5N7xL+cF3rOlu3np6VNX/RlX/kar+o7Ozs1scIVfyJKzCYFvt6V3JJn3VaQ4deKa2w75bvrKlXWN1VQSSM/3Vo1Jy8kBTVeTOIiTwijG0hcAV6bg1NTiNDIxy0ssIVcWTZ+e8vpgyvrhgNplA9CxmM05Pjjg5GnHv7iHLxWv+xV/9X9RVSWYzUqUyhw8pjLjyJa8vXwAlD476nB32+NPPP+HP//TXBO+ZTsbJBS/GpH1HgbYKrrUGNBKCb4tDpgisTY1rU8tbL5ENxJQlLRmdIi4zGCccDIf0s5yDvMdBrfSXDVou+er5NzyvLlk0JeIDIQrTqMzqgNYeG1I1jExy7g7PmFaBsQlkRzmZFaKvU86GpsYAmXWIEUJUohiid1B7ytePycuXyOKS6fklyzLSBKXRBt/ykV29tq6P7NVi92jBq+17tNEtqiAEfKtkdO6P+7RRYZt2uCna8iY6YV9b3iT72tP97P62SyVdp33v+3xfue2x++iaH1O+r4b7XEQequrTljJ40W7/Dvh4Y7+P2m3vRDY7Y/eQiqLYeKnv6EIbTHunwbhOiyG58yReV1apFd9kkLDWYrP9SXUWsynTyZgYPKkicDIoWQWIaGgQIiGANQ4TI32NHGWGi8pyebnk/uf3uHNyQubgb373VxyMRixnM8YvXnP/zhllWfLy+WMWZY3pOWIGWS8jasDHSJ4Jrm8YNJYD2/Dymy+4+xe/ZVQYhh8/5OvzMWUI9ExDhsdEoakaMrUYFI0eFaGua2RoiVFSOseNwb2ZqrHbZnGtn3Gk9iXRz9BY8+S7p7iFcmwHnABu2XDQF55OL/nm/CnLps/D/imGnHFdQr2kb3KCWUIvIzc5h/kxr7IBT8opn/cz8gx8nYIeVARfgctznLFUTZ00UpvjVGhmc9x8wjA/5uX4BdEecJANyVxKl7lZLqizwG8PXllppptAuAVAqwgatvr0dl/cr/l2vzf3uSkf7U2gsk/j27f9JnnbY7b8HnaOve5ct73G7oTyx/BGuE6+r4b7vwD/pP3+T4D/eWP7fyRJ/g1gvEE9/EBZd9QuWuk2M/r3vNSqR3RW1W2Xrs1On6iC6+pXqXblf64xvqkyn834/e9+R7lckOcuLf9iaoSoEqMnoAQxRAQTI3louD/o0YtCtYicXy7oDUfMywrvlQ8efMTrF6+4d3xCPZvy+QcPuH80wE9fU168ROoK8RENAWMtjXo0g7v3T3A0LGdjnj/7FiNKXS5wEonVAhtrXGwQFSS22ndbZjxqIASPaqrRtr7FG7SWbrUgARVP2Uyp6jlGPEY9s9mYl6HGROGoNhRN4JsX3/LlxROeTl7S4BnPJ0yqBUY9hJJAg1HLce8UNzjmRVNRO8H0HCFVR8MKxLpGmwYnBqOJIlGbouTsEsykph8qHGPGk2+Yzy6JtcE3cUur3cfTRo1XNNp9Wu+bPttdZb92uglfV/jdazS9t9Eg33Zf+P6a6m3ae+W8txz7N004742GKyL/A/BvAndF5FvgvwD+S+B/EpH/FHgE/ON29/+V5BL2B5Jb2H/yLhqZnmvSYN854X6tpBfgvU9JlY1JDTFbcEs3EVwvyZXN2jbL1S6Hq0rwntevX6MxJlDWNtWjJrohxpAyhpmM6AVLJPM1o8xxd3jA5dTz4sUlr057PH70mOHhSaIMgqC1R+qauFjw+YMzDvtTvnv1miw2WMlR2vtyAlaZlXMYHfLBJ5/zVy9fc3pwyOn9I06GwleziLMuhcpGEO2ojoiQLOQ++OS3LNta/+7qRFerhNCalQNiPVmuNKZGtObszh1OBqe8KoRsuuDk4jUvrefxfMzSVuTi6FeHzOZjTAYSUxrN0iuOIaPsiMHRGS+ffceSwHHPofNk7LNqUi4FBJcJFiGESHQN4h226hHHETesyN2Y11VFNskY5B/TuIDaNS8N60G75kZBWkXguuQuqhHUbByzJ8hi42+bnOt2D+uym13dZ/37KvN3G5C57pxvK7vaeaLtbqkN3wDYsufb+yxvRC9V/Q+v+dO/tWdfBf6zH9qoa1qylxP6MUU15TWw1mLkanhkV0zwprasNVzLbhKUbgeNgUG/h7PJiV9bVxokAVrQQBRFjCEADqUwQhM8d0YH5IsFk/mMlxeXHN05pVksUBUOh4cspws+evABz54/Zzad8tnHH3B6esQ355fUMQULVE2NFUOWwaKq+PvxK37zZ3eZPx/zV198w2/y+/TunDKv5/gUMpBubDWO06SgYlZjWnfAdjP5z9YA0u4pBlQCYgJ5LoRcaOolc5lRf/QRR6bg5HxGr6yRgWFuPS+rS/ovnrBYLnGjguBLMiP4mGgXJWN4eJfHzwyzukayHJMZGl8nBtsafF0TfMTlORahkZoMQ8Ehfl4Slguy44gxS2bTAw6LD8hGrO5z05NgExhT/vk1gHaBOrvguVueaXef7kHuHre7/E5z3P6/Sdt3v++I2Xfd2xxzM0i/XWuuO9cPua8/hvxwM+E7kz2z8NbPZGRJBpbtMijvWkSh86X0TU2WZ0nDlVVLgAAxoCoIGV3uxnZB1VrdAxBIFX0zUrmCjRtTUK3x0WPMCNWCqDXGVmACqhbFERtBvGsTUkUi4Fs3qENj+biXYZ3w+9djDotjjsiwePqHGaolAwvVbM79e6eU80vmL5/x2ekZWRPxdSBgqRtDrBz3BscY4/nrv3/GncOH3L93ypd/+yXPni0YXyYwanKIkiaBiKBqiEFoc/BgNCJxXTZnc7BshfYCViO2fU6IYF2PvBiSuYzF/Jz55DkvX18yayKD4DiKhuPBgLPDQ2IufDN9Tj0eQ1myFGXuHNEk6qBqlhxkBbkZ8ro2lL0lmkeMGqzPEHUEUapQEkOgiBlGGiJKMANC7BPmNUNfckBJqKdcLqcsQ6CJkSb4xF2HGg1NykCm6ZmkLGfpo7Hzl01URIiRsEM53IZi6J7n7nNt57zVSrD7vvnZ2Sn14w64VPeOpv2a5ZspAlVNvuftaNnwyO3WhOux9Abl6SYD29WWtddcOeOm66RtZu3vvGrXXtT5UeU9BNyrIm2AQHKrWn9g9/NuQLjjJmPw1HVF3isQkwBfSCVhBI9qgGgwkiO4TQ/stoN50IoQFGsKVolvpNP2DFEqGl9z8ToAQ8R6bL5AxKPRoTFDa0fW5K3TfiQYiLZAYsYwRH7ZUw5Q5qHPt9++5vTgmPnknIvLp9y/f0BoZvhY0j/KGR6B1hd8cOh4eJCR2wZspIkNuesxNJFPPx4xn3mOfc5nH5zx8MFHTJYZsVbuikVcJFiPOlBjiNGh0WGixcZEeVh8eqvtwNjMCrUCXVVMGwrrVfBkRHuAye8wPD4j62f0R4YHvRPM4YiezTlsDOX5BeFiTBVKXusS8Q1xOmOSCZd5ThkEHwOBJQcRjrNjntQ5s96UUNRYMlzoo8ESneBdoK4bXGUoNKBGKcXiKWChjMrAsfdYXXDRvGbuaxqNNKEhhoboqwS60bdgI+2k3QU8rCsW+xBS22IK597kfnXj92pU7HDE3TPdeo7tKNkC2I0QgF1skp3P95GbNNj14qfLFywbQGvacXJ9Iqd9ILy7bcsNTDZKHbWzoV5ZAAAgAElEQVRAK8ak0HLpcl7E5Imi0FoeuIofP768R7kUNhcHf+SFQvvS6qYhxECe53vas+7IK6v0FVF8CKDaZtTvJoXdzmQYT6fkeZ4s2aQoJQGIEENcXS9qewYVpK0YXOQFvxncoR7PeDxYEkr41el9fpM9IOtZvvzuEQfHBdbUTPyMfODJezPuHld8+/QJ/eyAgFASGdPgjg/5i49PePnVt3y9OEYffsgfHj0hhoqz/IyjpgDbtHdIojxU206/Xs6+6Q1GoCIjiMEbg48GDWBsj2J0Bw6nnE+mHDURP8zQTOjNAkVQSidEH8gxZCeHZIXj1eSCavGKk/yQ0fEZJkTUCYODI54/f00ZoShyosREX0hLCZBScNahhqik0mlJM23KhmrqKQ4PyENkMjln2RvQd4eIgVqTAS6lXA9IclBeec2kvmG2uX9lTSdcGwyzn2/dXd5rh25c3b7Po+EmPrgzL9x0nutk81yrKeAG7XWfQXDzPm+Sm3xur2kd3m+XefpjyXui4e5T7vWPhrkqafZu6poYodfrs68x62J61zVUCb5BVXE2azXzzmUo7RFVqZqG2WyW/FklppICMaRdgqK+1YDa/yIJ3FRJLk4+8ItixC/IKWPkdxcXPJ8FjDtiWgaejV9x996IfuZo6hxn+2Qhcm9Y8OnRADO+pAhKXUeWYphUYz65k3FvlHPuM/56HHgxn3IoS+6JMIz5alLSdlKJMSYvpw4YrvXa2FwmQ4PBq8EnUyDqegTXo3Q5TX/EXBzLJy8YVzMW2jBqYNQIIU/5hcvzCd+MX3HZLHn09AmPH39DbGoyFNdqmYPDA2oxXNaemBeogyg+ET9qMa3e4WOD+gS4DpJBsI4sL5dkwXBgLa6aMp+MqauK4JPGGkLEh5iMbsGjwafk8SvNNBA3fXWv8U/e/Ky2731u++mFt/FM2EtN3PI817/P7thtO8sPsbnsutvtgu3bnHc3am/fM/2x5T0BXFZgsn3zulYIf0rwbddljfeAUOR9dimLzfm8XdXsPU9ol5nGpEKFqgbt1j+iND4wnc4pyzKdQzstKQ18IiveKbKK7l0NaGssJio0Nb88vcu9kJHPld8/esofLqa8bgLGZvSdxXhLmB9SxDuYMmdYWX41esCfDO/RX1hc3UPqHjkWjXNOPj1jOhjx9bMZ/Ro+7+UcWfBdMvYO9ONGCXizwZttPYprAENTsnWrAasR9cnT4NX4nEcvnjD1JWa+wPUc2fGAQ5szqpRASHXmSs/CwIJApT5FmfVyom+wxhAjZEUfW/S5rCJN5gguEmkSBRA1eXQIRBqiTxF9RjQZ1sQRSyXOKkYCJ1nElzOaumppgeSjEWKqEpIA1W/lToi7g3vP87gNf7v7PNf/XgXPTdnUZq8D1N3v14P23s07O90OEL8P4O0D3Vsc9d6Ub39vAJdtSGFT071tJ3xnYhIYLuZzjFisy9hG/NQ+3+bgvVYkuYSFGMjynG2uaN3+yWQKpOoSIppKyghIANNGdK2unIKzCO3ANYBRoXYRVyh/mR/z2czhy8D/+fhrnpcVn330JzgKDAV+XpNbh8QG2yw50oY/O73D54cj8uWcQYjkTc7SZnwxn/DFs+fIuOKXYcAvTR8JDUvnU7iyJI7Ot+HPEU2lcNq2Xhff31Xt1RjItCSLS4pYU8SKAo+GkuGoIFhPLTUuBJpyiRwW9PKMs5ghZYNYQ4bBFTllU1PWJWSS1FMneE2Jg5wr6PeGTIKwNAKF0GhJDEmjTdFuBuNAA20Vhog1tAY2RzOpyEPDUe7x1YJquSB4T4jJgBlWK/u0OolxU6Pd6a87muxNmu4uh7vL5e6TbnvTNNdSE5vX2j1u3/n25nC4bhxew7/u42X3ff8+cmNgBynp1dsGhPwY8v5xuNIBbwdMP/2sJJqW7VVZkmUZtvMw6Nopa8uzy7K0dR/trJ6oAWssIpZNVT3100iMyvn5RZsjFIJvwIZUnUAh+pa4hS3NsQtSEk3BEd5FlJJf2JzB8IRFOOe7puHrR0/pHx8z+vCMioZF9RyVhua7Jb94cMRBr8fA1Hx+v8/SzJlOF2jzKX/z+in/77cvaKYDPg4H/HZwzGGoKMUTbEkGK0ohaGzTVCZjhbaEwoqR3xmU3UC1AlY9kPL/Bo2Ax1hYaMXh/TtcPn1KWS9pZlP0+BjNhKO5MmqEZZEqLoiPFFlOhYdMqG1kFivyAGoFq5aTwQnjqWGB0s8U4hIXeoADMahG1EQ0WkJoVxiiqcS9OprSI8s5xdBCsMymUwbDEbGuKbICBExMhE96TwbtHoCwlYwdZK3pXONbu6ZmWm51DzCu+EhdY1zHuXZGOhFJdfn2yCY/u4+r7d7TPlDa3f59QOuH0AzX/b7tOX9qoO3kPQNc2DactVsEVIWmaVbhoT9uAISi6lksFvT7Q5zNdtbIaVKIGluqgL3zQoq597jMpUTZnVvYir/11HXNs+cvgDZiro3aEk05SEMTksaluqITtH0m3ULAKGQxENUjJuN4mPEbOUZnr6ij8ngx5vU8cufuiLNPP2BRX7LE0hwesfARJ4ZBv+DDB3f4lin/31fnfDcuqas+D5cN//DIcZb3qBvFOA9xgVqHsYaoyd1pM6xUVTcrEa1k14gTFULrcdLiBiEKJnOEvM/COabGUIYKnS4YDzKiaThslKMKlkODZBksajAG9YFFLPniySMeVZGz3gEf3PuAzPY5HRzzHMciRM4KR5SAti57GgWViNKgZCuXLWcMzlgMGbFe0iwm2H5BZo9YzKc0zV1MFJxTCIohruzfcdNKJi1AdaCp64Tf0vrn7ibAeRtqIMVGXwW+Tc7yhwDiLoequtZ6ReTmVV4r12nat23DjyU/Nei+R4ALV5m/dquul0FdWZ0fVQRC3bBYLHjwQaqGsM2+JI5X42Zk0FXUDd4TfEPmem0E2YaKKpEYAstlyYuXL1c8sDHSWosV0ZSQu6tp1un+O01FgFGteOM5zxrUZnwiBSf6gC9mU75sKl7NlBfVkkdPKg7vHzAYHWLHPUZ1oFDDpCp5vJjx3eWMqjmgWh5zt274y37Db0YZNQ2LrMeQKUNfsnAHiEn+pjEkLwVped14rcmsfVLdclqV2hQINt2bKMFaar/kycWUv3/0mFjN+RU5vRAJhWP08C5cevqLCjkbMTo5xi9qyvEULRyNRr67eI5bBvr3C7KiwEYYSEEwjklVIpkBG4mlTwZSkz5RUgarliFOaTGjRSSDWBLqCqdCnlmms9Q/hgcZoU2lGRCcavJPluSBELWNxusiFbuuQsdhr2mWXY2xA2Xd/L0ByKtkQJDcFTc8HnYrVezTYG8jmxTEZo/rfn8fsP0h7XmXchs65V3LewK4m1DSQcg2wKXgAUAjTVPh2tI6V1TLd/IOPXW9pGk8vWJEchLqTt4CYfSIpIKPKwzV7l4UIaDRE0JDv+86NT35JbZeulEDi/mM8eWELMsRVaxRDDVWG4g5wQtEu7o2kjQlo4rTtBSPSXdONEgGmROyhedudHB0hjYl384XlKVnmudcPqlQq3xp5mRVQ4GhIVI7ofRCn5oz2+fPT4/4VGbksaE0FpzDVwFFiCbQV0NthJkoHnBBydpyQKgB1lncdnk81URFBBuxGEQF4yNOI0YC6ivK6GkELoznw0lJFKEaZQyjMvCCJzCPDYvJmPund8hGPSbVgqquiAbyYYHNHFIrhTh87HO5uKAe9bA2dTlBwdTJZxq7cm0zUdDWd9NZwYghBI8E6LkGo57lck5vdEQdNLW549Yl9VOJiRpCLN2sufIb1YiotJFmZm1sVF3RDJsRYpsAtbmSWGmZG8Uuu79tlutZHZMefvdSNsbN5sDZtFKv6Ynu3J0PrbMWY3eum94u8oaBeGuwXS3nNob2PmyUpMzsrpOvPW33fPcYEH9MeU8AF4TNFIsJPrY5T48xIBJIEWc/ZmtKFvMLjLEMhscg+eqFptFkUxhppu3mLoli1+IAWkOoCL4mz11aZq6JtnR/2jAZX1KVFcejMxyKoyaTEkOFNg5fZW1wRSAYBYlYDeRBU3lyERprmWcK1jHw0AsWI4bolBOJ/Ou9gs9RnpRzvgkLqnmkVsEbQwksXFLArFce2JxfWzjp1xzaOfjIkowsekw9IVrDpSkQ5+k3OY0peCkljTWMmkBfBVGHxAxMszUYNwdZAoEIWmPNAIul0JqsmRDDJZ8OIpMDx9evL3liBvzJRc2yiix6lg8GQ46ZMp+PqaYlaiNlCFAHqukCYiCzjn6/j0okM4Z64Wn8EZf1C5bHQr8wQIaLnhgTmCsD1HiIYINBQprkPAGcQYOBZcbwYEbfBLxfUMVWu42eKIFgBC+SJo6NYARRgZY6EFVUDBLbgB6TyjVJhJjICLQDMtVVvufdZfyahtgeDN0z38xihrS1+XY52U0XG9lUdGT16e7BGJOs/Xa7qnDj/ZZGrXo94L2J4tja3i0ANiaq62RdiWJ1omv33Xf9n0rbfk8AtzU2ALQM2GaxDADvmwSAg17SGGTTkwGuf8VvL1Ejs8mEPM/boAc2gCNZsTUq1jrSq97Ns6Bo8DR1g2CwNqPrEtqeRDV5OZyfn+MbjzVCDBViPaIgalLAQ+wqxOqOdmIIMaIuBcbaaMijYqJggsdKGqRNrDHOMBplfDo85r4XyrphWTUEn+6jEEfPGnp5RlEYTNZQADYkfli6G0fo/ICdSYpOiLFN0u5Sgh4xxBi63JI3ilFDseyhWZ9ahNpBz+a4xtEPll8d3qF5cUFPTKI9Xo/RzBKqGqeBYuGJTaSXFUSgDk3ryhc5PDikN+iv/F6wBgGauiZEuwrVVjb4UI1EoeXP19I0ySNCMPja4ySSWWVSzamrJbnLU9SYkEKcEaKkyTG9K1pg7Saa1RPASPtmV5rWNj+7G6CwCbpdfmjlaoDCpla7CbpvCyydprzKF2GuP/46A9u/krW8P4CrnYbbgmw3a7f8bYg1qhbVgLUOa/P1vkkneIvr3dwhQgiMx2N6RT8t9VtATR0qadshRrK8YNM/twtgVCIhNjS+wZgMYzN0Y/IAUI3MFwuePn0OUckzg4kek9ScBLheiS0/GDveGFYGJmMt4jK8RgrncLWHkJboTlgnvYlpEimicEAPzRy4PEWrBaVvHDmK+Iam9oxFcapYFZzKhgLUTRopyTfG4GOkiRGNgnNZStISApK9+X1IhKK0NDiWmdDYQMAxJMPVBXf7R/z63ie8erHAVzWzJ6+oMljUlkKUQZVK9BzkAxYasMYhhaMql1ShYdGUhL6iRsAl7awLQBAjK0pdWz5eW4PlCv823PoILXdZK1Y9PSeczxeUy3mqoiGJQEk1vCzRxi2jWQLxLslNtzmibWkigTYjXVc+fZ3EJlVzTrmfNxPlrBLdiLkCzMAWCG9aGG4Lirurk81zrd6hCHme/yuQvaW8J4ALkIIM1suYTTYmlXCZzye4LGc0PCChUrv/yifrNi/96j67HdVXJWVVcv/0Hsa6DUNVWxRRm1SDSxybgJs00LRUjrEmhIi1GSJ205Dc0hDKYjHn5fNXaFAMDUYq0DrdSbRtQpiAYDa0oIS2MSamrFZFegWjk1OW5xfUiwUFyXvAiuJiAC/kRmk0EqVC2yrDkG4hSkMTA8YGsIa+ZkiMKaCCpOKqbZddnSZmQI2uHP4VWg1XUA1XdP59oiiBGtXkemWjYsRSR4crhryaLPiuTt4EZRSMB9PPqQqLs3A2PGSWZTg1TBYLLEnL9BoZz6b8/osv8A9qPrv3MSJQuIxyNVslCiigK8AltiHUG21P9cuSZksmGG/BN/RsjoQKXy/xviY4R4gGEwRU2uxunebcPrPOG2GlpaZrGrErnlajts9wW8PtAC2EgHNu6+9dH963TN7kbnd54Cvvo7VBXMcVX5d3enP8/FANd3ssvokJ3j5u1wtmV96HSeE9AVwFSfpBAltBY6qkoCptOZOSLDeE0CTuj0ACQLsGXm7jvbC/w2x27LJc4H3D4eFRq91KO1hAtUG1bgdGlpBn65RpGDdNifeBg9ERIjbRIKQxLdIWL6xKXjx7Sb/oodpgTYNQpwizYAl1QH2KhErLzBQUkuwqhqCGIIZaDHJ6zBJlEj19VYog5F7JMeQx+YhaoDIpBLfRyHy5pOgXaGZbzdpj1WJDtmJsFN0y6CjJGd/kGXXwBE1lelQN/f6QpJyFVZUKWIPG7sCMRJZuguIxTY8eYKLnfDzl6/Pv+GZyyXm15BchUPWOODo+xn12n96LGvP8BYvJlGcmkomDog8i9Ho9rDUsJjNeX1wwlB4fnDygbwsyl1HRJrF3ltqkasOr16asAg1ocyR0+pyoQDDEMiLLmmKQkYmhLpfpfjVVZE6FMdPKhPaeBRArmO49dsArunHx9XNZHSfrahKb1SJ2vRXat3Tl+bKxTTY0Y7gKSNeB1S5Ad0a93X036YSr7bt6jduJ3sL8tueo9xRs4T0CXGUTcBURi/cpj2xVL/GhAuBwdJw0h3Vxa9ZAe1std+PKO/yYiDAZjyl6BYPBEBGLYJKbD4mX86HCWNeph1tRv91koDRojLisB+KQdieRLsIocH5+zuX5mEHex4gHLbEmpHHohdi0Ro6WN+3WhaJJu1URvBhiltMMhph+n97hkDibs5wtCFVNqBt841MCyQhFo2BtohwkQAPGsvK2kBXX3A5k6TprO3C7Oc4ZIgGvyZKPWPK8aPlKhegJrC3b+yoWK5Eqq7BqyaNQeMERGDc1s8WM81hykUXuNJ6FVU7znItqgcuEbNCj0CV2ZKnnFcvxmEMOwCghzQAgytHR0cro5Ezy6lCNiHWodGuW1kc2rgf4CsY6hksN2qagDPOSrHdI3zmWdU30nuDcKrGQiaat6SYrAEU3wE/bSC/R1QJtBVwx5T02us4hvAteV7Tbnb68C3o39ftdKmL3mCuaY9p45Rr7wPaPIfuolfdJ3gvATZ07dBYlACazCUXew7k+xrTx8TGiyduxBeiusynr2J0f9rCbpuHVq1ccjEYUvd6qPckS7NMiuFlSZCPaFCdX70d96zZmcFmxYQDsOkTSpJ4/f8Z0POP4w0OIU6IuwNRIVDQIoYmp9Es38IEuD51q8nrwIth+j1IMod9nMBghTUPmA81kgiwr6sWSZbnElg1F5ZPvrELWP+RgNCT6iqacYtRijaVBiZo0YdOGOQusrNwGECeoUWrvaUICsDwrMJLWBFGTMQ3WSbqvikFiDjg0Sqqv1sy4M7L8mTsmvJxjpzO85HgLzXzJtN9ggsNVNc4kC34QgRiZTaf46CnypKEXec69u2cpiXv05C55i/gQQHKihgS+qimHr2oqttFOoCrdqkJavjvltWhmFfnIU9ghftmkFJ6ZxSPJZ/v/Z+9NniXJsjSv37n36mjTm3yMyMiMrJGulqYXJSxY9Q4RNgi75h+ABfwDrGDTOxA2iCACAoKwAWHJmhWbprpKqOqWyqrKqoqMiIwIH56/yUYd7sTiqtqz9/x5hEdWDg5VV8Tc3OypqZmpqX733O985zsCEsyt6bgSVFB7ba6K96L+GNLKZ6A5CMnz+H6b9PuJsD2wyCFD++3j2woq3g8oI7dB0W8eYB8aH9rnORwfBOCmH/FWpSCiKPKMy6s3HB+dkmc5VzeX1FVNTN29hpl2OM1klJEdlgS//zg8cTabDU274+mzRyidOhuE9LGAgPcWH3rMmExT49U5rrQi3vV0fYMxGcbkxLDfJIGXCF3X8eLFN4QQyE0GwSLaEWOK3IMHZz0qHi49b1mtEXADQl5WoAwSs5TbMRpvIqaqk9VgcIh1xLahWa1ody226SiV5vjsEds3b+i6hlKS4sENRzglciRl7hkz9ylxqEwCB+cdznm00WRj8mSkHuLt7X7HZUgqhaxb4HWGFfB6RykOmiue6x2nZyVfRsNPYo50kTIIJ/MFug3o0FL6iIlCUdY0647FbE49rQjOcXX+Bq0U7W5H1DVERWZSiav3Pn2vOBgEkYowVAh4JEW7ElM1WvCAQqK+Bd0u0Dc9+TQjeEfXd1RlsplUBEQliiXRR+l4hDiY4gDxgLMNIaBQY9gLB5Krd52rcG+p/j54OyRc37Xkv33+O/bD2xTcP4z3Hx8I4LJfdgH0tsX2lumkput25Jnm5OiYECOZyfDBJn+DOGSCYxxAdyDi9mM4GeLh0usg2TYm5EjLW4hst0uUEqbT+cDPDr63QwbbuR6FoJU5eO3hGR9wrsPaHWVxguikox05UACJgd1uy8sXLzFZjslyiFBkCu2TtCtYITiFYqiXl2G5H9P3iSJ4SYyGyQw6eFTXpQvWaIJEeq1wRCyaOMnQFJizCeIgaz25DWy7npXvUUrQkpJ0DMcjCqlQY3Q3G3yFlEREWQKazkdsdIiC0hhMTJrkoED5cekshIMutzACkaBDRVCpkCIIONFM6xlFb6ldQ3G84IWeENcduclwu8SXTvIcs2oxPkPyKblRbNdrXPBkRYFDWO62/PSLn1H/zoSJqdEKhJH7DkRlYSzSiEkDG8YCBVJ0O4Jykuql31v5DN9a1MxB7LF9atceYipmCdGkqBluE2GMjORQ2TZO5MM5O6q4UwBxuBqKd6JaeJtSeGi8RQ1AiuD3x36Mjsdr5N3geadI4GCT96UsHt7gnS89/BZ37t4X4B/67u/9lr/i8Z3hoIj8TyJyLiJ/fvDcfyki34jInw23f//gb/+5iPytiPxURP699/kQEkEFkJAqqLQIq5srjEDfbOmaNVoJucmIwaFlLKR0EB2CBXoYW7XcKYBVJI433QI2WfNxC/ApsRGIccdq/YKyKqgmR0BJjGlOEhUQsbiuI5MSkRxEJ2NpiYPBWIToca7Bxw1ZWRGlQkyBiEJJaj8Tfc92teT81SvKyYw+RgIOiR3aeYzNCLsMfAGqSKL8mABMhwRUTml6LejKUGZCuHiF/ewvaT//Ke6bz9GXrylXN0z7jkI8Xjs61eNUoMkz2ukRvlrgO0/WNlTBEkKXIluv0lETNxxjQSjSsYgKkztUtsTFglU3ZycZ6I6FUdQuA5XRHMrCYmorPpqqK5FU6izQ5pZoduRqRx6FGE5Yx0+5Lv+A9dk/5nM54sXNkib3bGJHkZ1g8sd0KjBVO8q+YTeZIarF2Y7eC6s+stGKtQl8uXrNv/nqM66CRcQCOV5N6GKP6DUqdphQQixxqieqjkAHEgb+3gB6iAdCOu/6GXiHNpdEWdJb8K7CR8FFm8B3oB+8j0NrF9JEOd6CDJ2Y49BHeB8XjKTuLShyN7I9vH3LdXt3uxEAx/2P23EHQ++Mw/Lhw/c6lKa9jyrh3ds81LXl4Q4u97XJ31cNMcQpd27pgjy4/RrG+0S4/zPw3wL/y73n/5sY4391+ISI/CPgnwN/ADwH/k8R+d14K7J9cIwynPEAaq05PT2jaXbUdcV2u2OzbXn8+BnjkjaB5P2DdFA8EYFxqXaHajhMsLFf/hIdTbPh6vqcZ2dnaGPSe5GCABlUAt57TF7cRgb7faWEWgyBtutQkqXI9eAziqTuDRF48eIl11fXPH50QuoQEAdAkuFCHQwUGJIrkb3pOEPEbVAYZTAu0Ly8YLJsaQlYo/DGYPOcrK6ZzCbUVY4uDT7XdLnGiiULgb7dEkLKhGtRhCC3F/7w3dSgD03OYI7SKEQbLLBtW2IIZMoMXS0G1Yi/27vsULB/ezySppWBSw1R8BiUybDKsOsbfvpySdu0uCD0fU/XdTjnqK0lM4YYAr63mEwRlVDXGa33qNBgVCADXv78r5mEyNnzx4knjaO9IYxi3NSfbYhix1yZ3C6iGA57kJgKTkKaRISkJHDOpcfRowmEoXpsBLs7QBkicSjRPkyEjbf7Uq/DY/egLCtl5O687rD9zmGng0P+98FE5j264G35Gfv3+k1QC7/MhNhvIrn2Pl17/y8R+dF77u8/AP63GGMHfC4ifwv8O8C//Pb34E5GVkQoipwsS8v2LMtZb3bccr1JgjNM18Co+vTskWlYqu053oFIVQMbuScZBGRgLlerS2y3Zb747aRCSFfgsHeHcz0hxgSkI5WxRydPxOFcS9u2ZFlFnk0Q1BBQDCeuFnCRL7/8Amsdk7pAYo8SDz4MhjUR2yddchyu+NulfdqXeJ9WA11Pf3VDXK4p+7Tct1HwMRlh11qwN9dJXZApmBaE2TEyWZDXFbt+h4pD9Dlk8e8cu4EtiTEQJBDEY4qMKNBFuGkaJChqXWB0lmoERZJV4b2o5P5vLJB6n8WII+CjxkXBe8iykp+fX3O57tBKk4lJpaNFyXRao9cVsfFIiBhRtMERoib4Ht+1lCqgXMMsr3h++ogfPT2lyzJEaUJI3gjp893+jJHkoSAx6V/GyS8VQCSvirEHQxyj9qhxNiUi9/vj3gQzJMH2k7RK9Myoyb0/Md0HXuBbdbC3v9HDAHIIwIfR4X3ATT/9XU73cB+3/+fONr9uHveXIfv6TSkZ/i6OBP+ZiPybgXI4Hp77CPjqYJuvh+e+Y8S99eJoWi2i6LqermvRWnF2dorImCEdyyOHcE/GhNmozz28Dc/JeJM93A76K2Ls8aHl1aufo3WgqCoYugAwgK3gsLYFUWiTP/AdUoeu3m7wzpOZGVrdqhzGySIEz831FZ999jOyLCczgqZH44dseerr5d04kSTvrShjHVu6brUIJnjCbkdzcYGoyC4PtHmkzQPb3GKnwuTZESELZCqQb7bkLy+xX3xF8+IbaLaI6xFSa5jxDW6F/6nWPxlnBaIEgvboXBOiZkdk3Vs0mqku0aLpYiBGyEbe/ABA7ptsgxDE4GXgN6Mnw1MpT2hXSLdioiyaZCTjeosLnqZpsH1PpjRiPbGzVNURMWaIV4iL0FkeTef8wY9/h9//4Y85KmrEaBg8CgR1G90CMaZpN0YFQSEDr7tfIJEA10sYmhPedt2wtlyDjjcAACAASURBVMd7h3Nubzwe43d34X0ouh0f7+/fg0KIvA0g9+VacJcKeHi8/Xneut3b5tc9PmTJ1/uMXxRw/zvgt4B/CrwE/uvvuwMR+Y9F5E9E5E8uLq7fcr733pFlhu12y83NDWPZpRo40/GEhtsOsKOC4RZcPalQwXELvmP05ofI1gKW7faG1eqK4+MjqmrCbblwMqLxoaNptmRZhqi3FwaDZTnWbYfk3igbu90CUtR5cXHBy5cvKcsKiRZCA65DhZii2y4QHQduUgmQxggrxDHRAtoHjA+gIjsT6HSgV4HOgDqdsasUa+VpB0DPXaAWhbEW7Syxb9D4BGpD65wQUxynRA0GLAOdEj1kEUzye73ue7beE21kntco0USTKvOUuxupPZT0QSRJvjDEKOjoMaGhdGvq/pIfzyN/+Okpj05OUAwlpCTgyLMsKTB8pDYFWqZIKDFSU0iNdAplFfNiwcTMyKhxIWL9bZ+wQTZCjIKLES9CUCoZAg3SOUmhY/KM4NbxgwjO+X33ihTtxn3k68NtHmGfqHrrnLkLrg9FlPd5y7eX+OM0fHcfD0Wz38273gXph7YbV6MPTRyHE+q7xn7yfY/J6PtGzw9N6rfY8H7c9696/EKAG2N8HWP0MaHg/0CiDQC+AX5wsOnHw3MP7eO/jzH+YYzxD89Oj+8cjNEKrm1bnHMonazxfPA4b5MzU/TEgftLFHEgRjfchug2DgA8ALHgkCHxkUqJ7XDvuDh/RQyBp0+ekmVjZBoTv4oj+BZru32rnLEw4FYY4fF+R9Os0EpTZAuIhjGelqF0y7qen//8CzabLdPJnOhaVGzR4jCiUFHh+0CyNxz5ueFEZ1jWSoLfRHcENAEVA1mAykYmPdS9MMsniMpReY11imBKGmOw2lDUNdFbYm+HktrhdxEIAzWjhs8jUUCBx0EGmEhUOdddzy4ExAtHxQQtCqtS5JqN6oqHf/shWpKheaQevOECJnqy2FH4LUe5Z5E5fG8J3rNZr+n6jr7vabY7jGiidfi2R0uBJseQk0lGrnKaVcfyYkMMBTEU+JjKfpPZC6jBFjJpjiXZPypFi2ARPOpOw6cYh2N/cAG/3ep8+NUOv/s7Itj7z9/52zD84AH90DF819iD/sAtj7dDIHoIyNJ5esixv19yagTz8X0P27y/e7w/6H2fBN1Dx+WA0fuF9/vLGr8Q4IrIs4OH/yEwKhj+D+Cfi0ghIp8CvwP8q+/aX+TWXPzwJBFJutiu7ZKQPgzJlTCC7WFPqMShxkFFGqIfgCM9HsE3ufr3xEHZIGKxfcNyecPRfMFifkziiBUiEZEE2E2zRqtAnuUptnzrh41Yt6Np12R5gckmvJ3/DTjb8dlnf0uza4ZSWIeiR5FazkgUXB8gKGKQQYwf9kv9IANbPPCpQTxRUmVV5qG2wqzVTHpDGUu0rlk8+QFxcsyNybmZT3CnR0yfPqG3HnEeFQISQ5qW4q10SAZgEpLkadtusPRIlrwYrpqGNkKhcubZhBBIiosQ9hHu/YvvPhBJaiKWosio8KJxkkO5IBRzvjxfslqtMFozmUwo8gKJwmw6TfxtFMQFervD+xbBEUNPDBaRiAvJ8DBIRuc8ziWT8eBv+VsRjWhNFKE3GpsZrFZYIm7MXd6SO0MBSHouvhVRhaGLxEEPsnfQBd9GKexv7+g99m2RmsitfeN9dcP4918mwBzud6zq+2WMXzc3/OsY35k0E5H/FfhnwJmIfA38F8A/E5F/SjrtvgD+E4AY409E5H8H/oIUOv6n8TsUCsPr7tSMK6W4vLykqioePXo0CObvZ2oVcW/jGNPjobYyxU5jYi2lP9JzI01wyPlGbm4u2azXfPKDj8nyCRG936sQiKGnbzZU1RRkLAEI+1Rd+g6ettvgQ09ZlCiVIUEO7B0iMXqub6744ovPMSa1TVcEBIfCEb3H9YLtPZo8AREH9InEQRKblsVB4j7WthpQGu0FE1K2f4uiy3J4NCObnEDbILpHipqgDevXr8hDQPkUwwU12BMS9oC7B/oQaNqGLOYoo+hdYLlrCLqmympmZY2zFqdU4m99IKhRDXB3mbuPsghksSXi8DHiROGlpBVNVAVfv3nDT84dkCU1gg/cLJd0W8epikTv0UZhm4agd2jTE9kSwob5IufTj57x5OwR0aQk5Ga3pbM9IuXeYjN52cZURj7JiGVNJpqwaeh3DbmkMyEO/x7yqsSUCPTj5D+CrdxdMh9GsneWy7wNwIfR5yEtcDgOW/K8a9xv2XP4/C8byO5XwO17rX3Pcf9z/b0E3Bjjf/TA0//jt2z/L4B/8X0/yN5qboiKvPdcXFwwmUw4OjoaOLJD4j+iVALacfk/xGaMfk8iw8kucVALDDPxyKfiCd5xfv4SpTXHJ49I7V5SZyqJqWzAupaut8yO6rQcZfTATcALnhA6mt0OhSIvqnQsRsph8GEIIXD++jUvXrxkPp8lbjZaFDZF4C4QekdwoOMgX5IkyI+SjKklpsSN18mbNLoU5akIrQ5IrjABOh1ZbdaY52e0uSHLCqp5iYotwcF6uabbbSkiQxcK9lG7BI3oQaRPIHpBaYU2BqMTxDc20vcOrTR1VWF0xna7pWsDXR84ySaQDxGykTRRDWoHpfS+g4eKbk9hBDRRaYJorjYNP/3qnE5KznJF2UZ0BkdHc1gU8OYr8Ckqr/KChiXet6zWl/TtjmePTnj05Cl5VuJ7h4il2bZY1yEq7HOqSZdtUGXNo0+fIdM5seu4+fprNs0WpwTE7Asi8KmN+5gJSJrasT16GIoaBgooxn2TzzsR6u21cgd0x+fiuMqAVAqsBv9ebhOnt8yt8JCS9jCASdeLQtRBYYXcvu72qnloT3fHGIjsHx8A7V3e9GBn8fY1cvvC73in23Gft/5ljd8El/tBVJrFGPcUwnhQp9MpSimapmEymWDyDGstxow16m7fa37/uoOKMhG3P7EE2f/A4ovBmq8HLKvNFa/ffM3Tpz/EVLNUqOCyBHSyRqktm/YaS0ZkgcQpCkWQMYJoiPEG19/gd4FCTqmKE8ATRKcoPPYoHLbd8cVnX7Nd9zx9OkdUB+EGpVboYNHB0G4jxtdIyFJyUEW6zIES5r2QucjGROxihq4n9OdrJhs47T19Znk1CTTGM+s85csL4mxOfHZGVAUuRkwIFJsN/tUr1HYNRHaZQcWA9lBaIboKozqitPgAQSpiVMyqGafzgiCalx3o3lDiOP7hAiugdpH+6pqV3SCffMSRPk5ZfUmVb3Eoa44hYCRDoqFXOhmW49BiMexQbku3/IJ/VF5SnxQs8gkfffaaTd7SujXeCAZHETXWDPnRMMH1u9QqXQybtiaEj5FQoWOLxBZ77YlyBcqguhPEtThZ0WWwzZ6QPfoRcblk9eVXyPIFUTvayTH540+xFrKbK+L5CwLdINNL30FFnfjw2BMw+JgloA2p7Y6S5F2cOhunx1ENkxA8eBtOrlRRyDAXDq2+ZXytKILIg5B7PzJO9MQox0sAPAL2Ldi+G9D2+xIZAoW7YHU3Mh+TjemT3Wko+i2gebjP+7K0/79Eux8M4PZ9v6+3H/mnyWRCWZYAe9J/JOVH3uyu1OXtLOt9KYwKfvjNPZHIq1fngOL45JSiKNJ2IqBSVOpDoGkaptOTPcDDWOY4ytCE7WbLbtfw6PFZek/U/vRVkmLFpm352c9+RnCO2aSC2EHww4mliAH6zh5E4IlCUFEjziA+cadRBFUdo06PaWTCZd7RtR7vLG1I6Z6gNDMxNF98zfG2oZzP6UXY9D3dxRXqZkU5WBAHlVKK6R0toiNaB6yPgCaIYFUkm1UwFZax47LTtKIJylDNZsRcswsWSs3jp8+IRnChR2WJntGiU3IqRIiBpl1RliWSFSTaZLzgNdZBXR8xr2u0Ad/3tD7iXcDuLDG3+M4TfKD3ka2zKAMiARN7Sp0RdzeEZonKisTjBuFmu8IowSjBhUAMoIdoO8sz7HbH5mef4a+vKLTGZQWT559gnnxEjuAvDdf9BcW6R4vgY6oiOzyPbymEe9l93pZVvY9n8C9jfN9s//uMb9ufHPybPsBD2/xqAPRDB+YPAnDhbnZTJFUVjYAZBmPoQ8rhkA885KtEbv9/mLTZ6xKJRG9RmWK33XJxccnp6SOmk3my4CNl7GN0IIG2bYgIs+kCo80A1mkpqAYe2HvHdrsFUVT1dPgMcu/Ei7x5c8FPf/pXTKcVSgK93VIZQaHQ0eB7j3MRQyCKIyqfIqKo0d6AV0TJCCqDYkGcn2FmZ6inERs0rukx2w10G2zomUwmuM+/hJ+taOqcrcnoXEbV9VQ+YACnBh3HPvvuybJAUArvFYghKk0vHXkJfRFY47jqNT059fSIqp5ws1lxvb7i2ZMnSCGYfPAbAFTQiE3v54Pj9fkrXrz8hn/yb/8TsszcctQI3gkiBUV5RC4BdODr5ZdUUWEtTIspWXWExHNaFCEXZFLg+xbomeaRT87mNDc9zeVLpF6ANmzalk235lltyKPQW4uOgopJnZAVGe3Nknp5g4iwiwZXH5M9/oR1XmK9xSxqukdz1GaDELHe0bkwdHe4m5xKuBvvPD78+z+Mv5/jgwDcw/NvVCporcmybJ9QQ6UM6KFs7DCpoAaOS6l3O98DiEkRiHeeVy9f4Vzk6OgUY3KUMkNpq4dgQSKbzYaqnGJ0McBsikwUnkiP4Gh2G9q2YzKZUhTVsNy8fe8QI9Y6/vpv/obLq0s++eg5MXToaDESMCGBabuzqVGhRKJyRHGE/VcJg05UQBvKYkIbBG80voJdXuCOaxa7Gs2CqHvOd1v8a0O2daxVj8ynTJsCcS4td2NKO4YhwowhRdZKe4g5uSoIPtk1qjyS1xmUnt2u53rZ4Vp49OyYWjQxOvJcoXSkrirarsPhqUzOzZvX4D2Pz864fPOKN6++xmjQJsJBTjVGIYpBSZkq/aKn6xpeXa14hoGoKVVB31jirsM7R+MC182aqfTUpSHr1zyZZpSTBc12h2t3SL3guunoY8c81xQh0veWWgzRCaHU6MLgVisW/Q6nBJuXFGcf44s53gVevvgKv33NUZUTjUrdLmLAB4h6z2bBMMnr+0mtMSEWDyPhX8bV8w/j/0vjgwBcSEA7UgojQB5mP0N8W2J02Lo5UQfqTgb3vqZQKTW4fcGm2fLm/IL57JjjxRnGFENSThODJYQW51q6rmc2f4ySjFvP3QD0hNChxLLbrgk+MJnMUCbfWzeMdfjBB1brFT/5y78AIlWRIWGDlh4dPSoIroG+AaJGZ5JsIKMjKknluqFFFRU+WIrJnFoLfrtFjEIZxY4eMZqcgBdLk0c6C50iJbV++ITs5IjZFjbfeDYXV+Ra4aPHxZhM1DxAmrBUSIUDOmoESxRPXVT03nN9teXmNYjzPPntmmnrOH/9mtj2LKoK7wJZVDidlBnnL75gd33J5mhBHxwn8yk+08PkyDDjDl6ygPMBMOSmYHWzouk8kdRyqGs6dJ6jjaZR4KOj7XYU0vHRyQJWLcZ5Hp8cYesJohRd8Cy3K5Ce0yKn6B2d18SBf+0IqEzwlztUdHRR05c1s5MnuB5ktYUXb+hXb5h9+pSgNGIiPlji6B3BbRLskHbaqxAeQNfIe8jE4nfnlw7P8+9SITzE7Y6vG1eE4zb37TTvfPa/Y5T+i9Ac3yd59tbnk/0/v9HxwQDu4cEco9jDH8XH206lD8llQghoLYMzU7jT2fRwv2owKbm4uMD5wKPFMZkpyEzBqL8l7hCxbHer5Gk7dN0d4JM4RLdKHM627LYbRISqqkEGhQOD4YukCeDq6pq/+ulPyYoMkQCuI1MW8RYdFV0X8Z1GI+R5qtbykpJzRkPfNnS+x+nIZJqxunzNarsmEihzQzVJcrZKG7JZRekUsY+syFFaUxZHqHyKVz1+mtNtFXVdMqtKtpst25sV4iPaGFJHshyCRoJHq47COJSAdzkX5zvCRnOcF/DmmnVrOTuak5+eEF2PihpcTAY6rmdSBj76ZM7q6jVn8wVmqlh6lSJaP3gbi9kjizY5wXU0vaPpHB89eoa+fokLEedTLzBFJLieaDs8W6IEjqePmU5K5lWNxJKimGF1houOXbdGa89ZlpG3Dm8znIuUomljIIolw2ONYqM0YbEgVCW5C/irS042O9o2UDfChtTtovOOgMZoxe2iZkxK3asKexCf7mpzH7om3hciDs/3X6Q66zDgGZ9/6HOlhNl3AKY8zNG+z+d6sCDj78jLfkgLiQ8EcG9F8odqhTs/+FAKNUa5hz/4XWnK3QznuP0eqDWsV2uurq6Zz444Pjoly0pEkg0fgPMt0LFe3TBfHCdN7dgwMo5dJ1LpcNus6fuOqqopyhqGDHCAffS2axr+5m8/4/zNG84WRwRvycRT5YLuPdEJrgPfpzYwm+0KnUeyuqYsa4yP+LZnGwNxUhKmJc3lDW67ZapAry36YomQs1GBWCiU0RQYqm1PUAZzvkQ7z9Lv2N5cMysL5sdHrNYrNn1L6x25Uqi8pMkUvtPUSpErS9AtWZ0RtaJ1motLi7jA8XSG3qxYr29YLwvibMYnv/tvpaaIYjB5Sbd5iWLD45OCx7OSqIVX62uQIxQm+c2qwXd4SFKGGFNPu+iZL2aYPmDcC7xSkGuCjnix5FlklimunaUwhmk+5fHsMRNTEvqcQI0Xg3VbtptLChM40Zp80xBD+s1DEDotRB3JCbRi6IoKc3aKVRFj18Srl0zbDUYEb1OaNDPJbyGKJKP6hDLD6XxHa/ArH/f1vd+m031X14hD7e/42vvFEt+l/f2H8d3jgwDcccY85G/vV8kQ35697wPueMbfj2rHfcQYadsdFxfnABwfH5PnJcbctjsPPhCjZbdbIio1JVRq7M4LEAlDdZj3LavlNTEEptMpopO72Zh/Ts5bQtu2/OQnP8F7T5HntN2OPHMQeiQGbNvT7ZLMSGtDVSkks1gCq82WrAkop/AmQ00WuHpKLRmuaQm7DZUIeMGcnNKWgbZZMd31SN+gJXmxulct7rKgNYrSOU6OjthcXnO1WdITCUaT5yX5yQnF8Qlx2dJcXOJ8j8p7zDTHZpqLZWDVKZQKfPTsEb/7/DnLm0uuo2X+0SM6FVBRiCZH6Yqm7yiyHs0W4hLrKnJzxM6TEoTZkHocW9kIxKFKUOvIpCzRl+uU6IqRznfEaNCuZVIXPD+dcf3GUommVCVGz/BURFXiY44Pnr5vaHdX1FNDHS2q7dDM08QYoROIOlKWBd06xyxO0PMFIYv03Q12e04Wd2STOSudTN8LrVEhTRQmy27lh/xm+dl3RZ4x/fGtbe5Lrx6qFDsE6FuV+z+MX2R8EIAL7NUIEfblkGO76BgjOjPv9AQdZ+UwGFz74TUp0mJQa6eoo9ls6LqOxWJBVdVkWb7nDiHiXCpC2GzW1HWN0TkyUg2QCgGCBxVwfTK0yfOc6XQ2CIAHgXrSOWFtx/XNNX/9N58xmUyYTmtorsk0SS2Bom0trheMKtL3IOJsj0NQqsZEg/YCSiPZBJtXiDJMnzym+XlLsJY+CrEu8R/PKP0x2VevCeeXWOVwOlJ2Lcp2FMWEWhSVg3bTIRaiEaQqmT16wvHjp3S6RJeWm3ZHt7mgKCIUQifw4nrFzisyExEFpjAszk5QJiKzCdak5p+ZTiuKrt0x0wFig1YWFwyKwG6zwXc9tu/orMX7iNIapRV5npFnGm1SAlH3Pd45qnpCdXKCRWjwmExzMquZXd5Q6YKqmCK6wtoMJSUhanxI3ZGtbXhcLshwuM6Dj3hnGbtC79ods8dnZCqnePaUdZXT2Ibu5hJlG9Cg5hVbHShUwEXYtRbvs2QjOnCEMQqpEvC2m/R4LqTz5/D+VtvKwfOyv/+upbTs78eA4zDw2NfdDJTGIVCOUswxOZ1l2a10Uqk70S0cgK4SCO8G3IeAfHz+fXS273xuOL6Hkt7Do/D2JPDtx+43pRT5YADXx7tGIOOJsC+RdPcTZLf3cQDTGBqUyjC6AG+Iki5g8CgVicHRbdbUecFsdoSYAp1PU+KDSHANzm5xzSWx7alnT5F4RIh18kcVS/BbIh3ElqZZsmtbTk4eo/MpkEM0aTmNENSGPm756U//lvOvb3j++BRtNxi9xiiP+IBqpsR1C35DXveoLGBDBGrwkUwbVNwhMVCqBXk5x+qMneopFzn58QL1zZKTXrO+uKR/XqOnE8zkCGgx3uJw9CoSlMVNdrQuh6rCXXcUako+r1HP5uwWhqbfov/qc46mR5jY48WR50kbvXU9X15f0gt8rGqOTp+wrOZ8c3VFUcx4ZI6gaymUI9ddaojp1xCEzs6wvqINBZ3NaS9e8PP1kj4XJHgykq/ttunIJ0dUx094+qPfpSxyiv41l3Wk1CWmbZnebFAby+os41gJP/DXbCc/QswU6yAjUsaAs56sUFwtV3Ra84/7Hbt8zjoekduWPFiiKjnbZXz99SWf/7ufkj/5BJcHnDRUN0vM1w1584T+tEKfTpGXXyDFDU084mZV4uI8TdgxEl2RWCnTk7zcskFRTTJ3l9TGKMSh37QootK39yoVeiMpARyVYuwaffcGo71kDAkElRhijDgbCMGR5zlKyW3AIQmUDrleY8z+dkgXPEQ77BNqB8nAUTX0Nm/8QIR9L/J+n6KGEONe/bFfP8jbe38IOuWBB7/5lNkHArgxRpqm2RP2h+qD8cc9jGzHv4/Ln3EbJanM0uOHg5vMymN0iGi2uw0ueMpyilY50/oIrQpCDCgJ7NolWizrzYpqMkGbLM32DMkCAs5btEoeqFdX12itmc/mMF4oB98rRE/XdvzJH/8xzvVUVYawIzMaialBZN85uq4bj8Q+6hARiqIgeGg0dCYiRxNMXWKC0F2uaZcXnMzm7B5F3lxsyKoy9fOyju1qTWUdwtBNQiK1E/QqsJ4ozp9UvHpSEvKCWhnqXY/56hK/3NA2PS4rUwSuhKysIMtZrRu6zmKITI2nW1/iZxV1lkDTdw2hbYkmw2QV1s8ps0e060vUvGJ1/ZKvXn5F1BVHRycsZjWxyjEqUueJH29bx6qLvLz8Govikx9+Stl7EI1HaDZbwnqD7Rwqq9F5RTmZQ1WjY1qLjGY7YdDK7potWiKqzrDBIdaTeYVG0SNoleFuGjafvWT2O1MmvWd2vaX5q5/j2o7utx7RfbSA7ZLZTUs8VjSDfaNWif5SJDvLfbuId43vmQCSBx89vI/DCPUt6u2QFjhQIYxAO15Th0HMfYA8vNbuj7vbv0+R8HuOw119+9e/Oz4EdH1gfBCAC+yTZfet3kZ52JhFPZSL3ZetpPxYmuGVgFKRrrOUZY73nr53KG3IigqTVeT5DIkZgqPvt4Swo+mvafuOxeJRUhuowbOAQAgWJUnpsN5uWa82LI7PkqlNapLE2MwyIgQf+frrb/iLn/w582lFVRroA7kWlIdoodk2aQmeZ4QQh+WvpW07To4foXVOEwNNlTE5mRNLQ9b1lOdL+usbuqea+OSIm+A4OZqhVIZf7Yi7hjo4VHQoHQgaRAm51+guwLrl8ekJrY+051f01xtmux7TW4ppjQSH7bZkpUKXFU7lXK1u6DuH8p6q9ojbEboNVVZRTaeID4gYSpORDMwqMrXg6sby2eaCzfaKJ0+fMF0sMEoRQ8vN+oqYg8or2m7DZtsyO3oOZkY+nZBFaNtAlAxlchanp9SScX31Gq8LyKdMFk+opgtMBBMVEpKtYdBC4xq22xvqXBFrQ3fdYrpA6QwOTV8USDXhkZ9y8ZMvubhe8ig3cL3h6LplmWsuC8syrDnabTjtPVZlWB/wIaJzg9aDT4GAyOB98Atm1u+D4vd93UP72T9WdwH0MKH8LnB9+/Ht9TdGt/e3fx8y5O/r+CAAd/yhrLX7WXekFvbc7MGsO54ch88DRD9WlUVEJ59Thsh0vVqlXlhVhc5KqnKOSJKCBdfT7FaEuGO1PqeuT1AmR5lRquSGz9egsHR9w831DQCz2YK7jSohTcuevnP86z/91yxvrvnxJz8g2C25eFQMqCD4TvC9J8syINC2Ld57ttsdWZajlMY5B06oplP0pKbTEbod2WbHzEJzucLNp0w+ekZWz4kuYG82ZL1DDa23lQ/0ErlWiqIoKU2F/PyK/Ocbch8pbEvnWnxdMD1bMJvOuXr9DSr26Fzh84yb3vPV6yvWyx21Ljk6OeLx0ydsfeRmuWF+9jHOQ5YJmc4Q0Sh2bLdv6Lo1J9OcH3zyezTOsry55Oxojrct2vXkuSZTlmVzTV3VCA7b9Zw9mqNihslqrGqIolnvGpT3WBRZNcdmM6bHFbGYo6OQxZQIcwS81rRdQ9esOTrKkqxt11L3Ee01K6VZ1gWzH33CcTHh7NU1l19+xjZrWZYaXTjWmw3nf7VklwuF0myVQ+cZvRdciGit0GpoECqCSjP9L3wt3AfJ971+RhruXQmvw8fja8a/HdIJh+B5H3QPt7n//uO+0+ve99v+/RsfDOCOP7Bzbs8Nwd2ljlIqNXE05o6Xwp5fiuOSKhBiSozU9YS+72jblqqqEV1i8gl5NfjVxki32+JsR9Ovcb6jnE4AjTZF+nwEgrd416J0pNmu2W42lGVNXU8hakQyEIVzaQkfQuDq8oo/+eP/h6rIqUqN7a+ZlA7lHeLA7QJ946jzgqqqCbEkRsdisUApQ995rLWUTpPZnIihJbBsVtS+pYwRv+3pXi8pf/gDdF0S1mvicosENzQqDMTO0SPsDJw9PSObH+M6x/JmTd92LM4WsBLa0KO6Bt87dpsbitJRTGu6zPByveV81eGccPb4CY9//LsUx4+AHLGKNuagFDq5MUBoOT//c9rtF/z+759hwg5tArbp6LseiYp20yYnslJju4h3hmp6xMV1T1U/Y1Kf0Q3FICGkZXHbd0wFxOSQ1QQ1oZyVOHI0G5nOBgAAIABJREFUgk5WDQSJWDxNt4V+y2m+oOwCeuvIvMFLxq7ICc8fYZ+f4Hsh55RPv3rJxcdHbE7g5V9+ySNV8dteE1sHsaWdqwTkrScgFHmBktH+BfYdZ0eg298P4AdvAeovqj09jGLvd3S4v49ROXF4vYxAe1hQ9K7PNO433Hvt9ylgeKhw4RdZCbwr4fVd+/oQSqo/GMAdZ+jDmffQB8E5twfcPWd7T6itMCnCALzvmM2mWNtzc7NEa0NmcnQ2pZocIaIgOnzf4eyG4Du2my2T2Tx1SdAFWptBeuvp+i2p91fPenWD957TsyO0MsSoEEktxLVKpbLW9Xzx+Rd8+fkXHM9nSOwxKjliaTz04JqABE3fW5zrSWW1sk94eB9QojDBIBvP7s0SU2Q45bHK4lQgCxqz6rDXG4q6Ri23mM0WoqONjtB2NH3HzS4wefaMupixItCelrRPCoK15EHRf7aiuLH4JrA1BqU8KvNQKnZG8aqxuLzm+LTmh5/+DjJ/xM/OV1xveo4ffUStA9M6Z2ym+eXnPyH4v+HTjxbUskOcI6qM3nqsE3zQdF1kPj+mLCuur2/YtTVWMnycsDj5BB9TRVmmcnLd461LemDXEwRUViCmxllDGFw6JaS+cOlTeNbrayrxPCoMk7XFNUKIhk5pNsZQHB2xkojKoJxqtFY0pUGf1BRVTVy1GIHKR6JNDnSN5HTegRjyPEerVIM4AiwHIKjUbRXkeC6P9yJvSxvfXtp/+7Vz+JpvS0QdJsCcc1hriTHuFQoPVZWN1+J4XTrncN4TYtibSr0v4D6kWvg+r3/f8cvc169ifBCAOxI+h5ztyNsC+4zoXjo2PD40sQkhQIj75Xk9qUAiN8trrLXU9RSlDNXkjDyfpTeMDbvtBTG27DZLFBllPkekJCtqkMG7IfRY21Llit16w2p5TVEUzGYLgoc8H6rUYrrYgrOsVtf80b/8IzarLT98/hTvNlRFQMUeFTy2DfjGEx1YcXhvgWSonVQwevj+GplOyOoTdsstWjxFaNE6slUW0RobI81yRZFrysslVeewGTQ6QPDYLqCqAq1K3NrSXrdsfENeFxxXFWXv0ZuOwiav2l30ZMqTl0IsFKsYeNV0xHrO08Vznn30Mb0IVjKefPyMopoRvSOGlsxYXn/9GYWsOTmpUP2G1FtOE6IiyyfU0wLRJYuTRxRFRUBRT58TssDFynL69BMkX9CGgCJg+h4VU9txL6noxGQGpTN8NIRoCDo1r5SQil+CAhscy5tLjsuMU6XIl55oDTsxNNrgTYH2wubVG9CCmk65kIitJyxizmQraK94U6aOIlMXKJRmg8IGUFmGMYnDNTq1mU+JM/WWkkYdJq6G1RrfAra/qnEYZaa8Rk8IgaIo3gp4Dj9T0zQpoWsMeZGnDsq8H8C9T2T5ywbeD3V8GIAbbxvQHRrUHHK4h+T8uN2YaBt/fO8CWQbGZORZxuXVBW3bMp8dUeQFVTWhqhZEMoSerr3Buhuc6+i6htn8iOBLTF4PdEIy4G67Jl3svme1ukEIHC0WaKWJCMrkyTdBKWIIWGd58eIb/vRP/4xJPcEYDc5jVIRgCc7TbS2+00QvhGRigPep26vTjia0KZlmDOHxEfbkEdWbK/o3V5jYIs7ia01+fEIIOV3T0bx8Rb1qKbylNZ5GeXKjUSpnMTvDZxWtVtSxRN9sUedXlJlBSyT3PVaGVugoTK4oJopGB863a25cIJZTjs4eo01Gb9t0gQRPZQTRkUI1XH71N+jukqNZiV8rlCkQFWk7R68Coiuiavn69StCt0UUuJCzboSdLXn6ye8xPfkIpw1iPN53VC5gJDl6BS3E4MgyPZwLABled8l4aPCDQBTbZstuu+aTxYSi79FrDyFjqw2NMWSmQF81LL/8GSGH49//LXad56sX55h4zBOr6ftAXwE6kGeBrjbsnKPpLaY4wmQZWqWVjdYJTFGjKT639yP4Hi79+cUSZH+XISJkw0SROg7b/b1zKVehtR4mEn2HfqjrOq2+zC3l9z7VZ98Wbf86v/uHMD4MwIWhl1nylh1n3/tlhqNSIS21PdbZfRSRTgA99L6qubg4p+ub5OBVliitmU7nKJ0RULi+5WZ5TqZ6lssLymKCMSVK1dSTKSQCIdEJXUuRC13bsl4uKfKcuq6SlaNKjSLRZrzOWa+W/Nmf/Snnr9/wo08+wTtLoWOyc/QRbz19m5zBjMmIQ3sckZwiz9Ci6DuLVjp5GxxPWU8MJ/EUv2mQ1QYEGiJqUVHNH1Fse7IvviZzjqHzFlEryDLysgCVc/z8I/pZhup6ZpVh8+oljR26TeSCJVV8ZQgm15jK0Evg/GZJHw1VPeXk9Iwsy9gsr9ht1izmCzLlMNFy+fJzQvOGj89Kuu2K8693hGmBmU/YbBw7HC+uv2K9W/PoZMLHzx6jc8O2EZqLnkV+xtNPfowqKnosIXZoOvAO2zUsX3/DlfEsHEyDZu/fNmTPozC0t0kKkeXNFcE1nExP0O0GugiS4bTBKkUZhHzd8zRm7LoOdb2i9Jp2teO6XNF1FgmgPUgIdHlkNYmsdz1dHyin+d4jeaQPENm3tIfD6O5e9+IHgPZ9c/vfKbp6kBMe7+9yvsZkhBD2eY6RZsjz9N1MlqSRVVWlY3xQhj8WS4zJ61v9pBDlblSrBkqFw2h/jGoHbnssfLr7wQ++9wMc8FvH5lui6Q8B2D8IwI0RbC/EqHCA0orgdXo+CEplEPu0VAwZ0SusFyIZSKDdtYhEFtOK40XOanNBb7cURUVWTonUTOcfkRXHEAc50tUrjApstits6KmqI6wKzOcT0JqAQ6Jju74kDy3aCqvVit56JrMjdKbxQSjKE5BJOhHVlq5b8uL1Z/yr//uPED0nqypC+II6byhaRd6csn3jcNtrQlxR60gohJUJOBGOqTjpcsodNFmOPzlCmZp5p8gItB8v2L7ccXqlqVvFrhXMLDIh0InlovTkoimcUChDqDRuYsiqmlIC7fqSUGj8kVBPH9O/ukAtd5guUMUUbVuzQx1VXE1yvg6Rq8ag+4qPjk850Zqw3bDZOurpEWVZgXjevPmGzfI1z48yCC11YXl+tiHkhmud803MqBfPef6k5ur8G7r1BV+dK1blc/Ii5+y3HzGbz4i5oVeWEJLhfI4m0z1btSTrNxz1EcqacPYYJ4Gy2+G0J2unqHzLFodXp9gu0L7+GR/VbzjWBW6VI64lk8BUFK1rUIs5cZGRhYrjoKl7y+dPc35vWjF3K66LDQWaqVWsCXRHkTzuuNqdsqNmmtVURmHEESXHi0GLJheF0ibJw4xGGQ1Kg2gCkloMIUgUJCoYb6KG6khh7JYwyB/SbXjq/2XvTX4sSbPsvt832fhmnz2GHGqQSEALLgSCICAI0EracMedIAoCuJEWArQQob+AKwFcCWhACxEQIAmQAAkQN031wK5usqrZ1dWsrp6ysjIjY/Lpzc/mb9DCnkd4RHpkZjVryGL35zDYcxufP3927Nq5554Lr1ffzu9Or7BPvuaU+5W9YdDthmJ/Lq1V/1QYpzhnEeIu5dGbMfmwvx2InvKSQuPdLZDfEugAr7tYvHmN+1fAenuDvL34byP9vwpasq8F4EIv5eqjWEt45Qx2S6w7bOd7BQCBEPrIUEqBDxZwjCdDxuMR292Oct8RV5sUiWY4mpJmw31iy7FeLyiKLVHUJ9SG4xFCKOI4JYlyfPAoIaiqgqrckUSSpmlZLG9I05jReIi1gThOUNr0X2IJzgc22y1//MMf8eTTzxiNTpHCERmJEqCQuM7SNi3eOaQWgEchibXBSEkiE5rK4pWkygzycERrAnlnuXn5HD2ImB4c0O4ucZGGYY5Qmna3xFZ1XxEnBY6AjAzpeMLGWnZSwnqFmy+otSea5kTDnM4FvASRSJwI4CzjWCHSCKcV8+sFdWuJdcTB7BBj4j45GCWAIzKwuXnB5vo5B8OE+fVz1DRlkGe0eUbtDJ0ccP7hI6J0CoA2CdI/IIk1Mhn37ZNsh5Qd+vYpwPcNNLXSlO/9HcJphZSQKIFJU5w2bIKgDgKpYgbeE7zAyT5httjcUJUbHh4NMBbqsmGZGEoh2WiJODlHPnpMkSYIf0TwLRtrOVpYpsZTPF3gnSOwj1x9wEQJjd3t9dzp/jsoX03iDmUgxV0O9zVfe4sqQoi3Xr99PdwTCb8CzzsJuq9+gd17jrvjturs3vdx5xjvjsTvRLlvjbtR+bsi9HfFpl9VsfGrML5K195HwD8FTug/k18LIfwTIcQM+N+B9+k79/79EMJS9H/5PwH+M6AE/kEI4ftfdI4+A9py+2/w/vVdVgjwPqCVwLleMRCCe8UvmUgyO5iSphFVUVHVNWk67O/WXpIlI8bDA5Q0EARVtWK5vCBLNZeXL4iTBCEMUhiG+aS/UIDgLdvNmuA6wLBeL/YdeQ021CgxxkQDEK+zu87BelXwgz/8IXVZ8eA8IdgCk/TZ8+AcTVXQ1A3WNhCavYzJ0bYglKJVCu0VNtF00wHicIg1grBc4JcrQmMYnR4hDyesVECPclzl6OZbTNdbVDrnsCIwnI4YPTiF4FnUDVXZYvKUuiuxjcV3W2Tj+6or73EiYPGIXGMjyc55brYlnZNMJ0Om4wkIhUo0s+MU0RU0mxt2V59yNtKoUNMImC936OyQawY01nF2/D5xPMA5z3q1oSwLsiwm1jlG7tXLok92Qc/L9soPiQuaXTaFdITwHVoFvFE4Z8FZIgQaiUFhg3xV7HC9eIrGcpBMoPCEskW3EbGOiHXKYHCAiofs9kY7IcQIE5gNKtzykmq9Iwr7JK2wCCWQJqYsN3TWEaURcRzvwVa9Bt5XXO2+aOb2EV7ccrd3lQmfVym8de31j99vLXv7958V2AjeBL37VA8/b2D7KiW/v8rjq0S4FvjvQgjfF0IMgT8QQvw68A+A/y+E8I+FEP8I+EfAfw/8p8C39tPfBv6n/fydI4Q+MXX37qqU6hMg+y9U20icu5XJBKytGQwzjk8OSBJDUe5onSPNhkRRgrWCPJtwcHDWg62Hpq1YzF+itGOz3WGdY5SMQGjSbExkUnwQgKOsdrRNxSCL2O3WbLYrhAy0XUPT1uTZOVL13XkFARcCVdHw448+5c9+9GfkWYYMJdIVRAQMitA5urqlb9/jqKuKnW+QWjOYTBhGA2QdEF4i4ph0PKFUButb/OqGI+tx25oyWjE+OiLNNI1ShPUWWTT9Z+MDzjtU3Edf2+2WkOekWYYcDgmzEXnbEAuJ2pSI0pM0FmX7zrk2FaiRoVaCy13FsrAYNeLk4IjUaIIHG+jr9OlYXD7hIAlMk4Cz4LKcovVcbxzzzvDhe98gTxOK5ZKurtjO56TZgHE+7v+vIsLZABhMFOOVprGu93CXGggMWCGER6mAlqBcQDuL8b1MS1qDDwOcCLR4lsWC9eY5j4cZaTC06w3KCbxStKH3/I2iiLIssVIh46h/MggBt12zeXmJaH1vGBQCjW8gNjg0mzL0vsNpSrrPDbyWfonX0e5esfCat+VzibK70eu9YCvlO7f5eSXb7h7zvnP+PMd9BRX/roHuV2mT/hJ4uX+9FUL8KfAA+HvAf7zf7H8BfosecP8e8E9D/+n9KyHERAhxtj/Ou9+I1nh3K6gOBN/XwQt6HWBTdUSRQQgwkeboaMbJ6SFaC9Z7XWwUJ0RRRl050mTIeHyE0gkEgfMd15fPadsVUSy5ur7g8OgIFyRZNmQ4mOy5KUFTV+y2K+JIQXBsNit8CERxhIoi4jRF6wzoWwAhPM5alss1f/T9P6YuGx6dn2FkTaYdOnikk9RFSV1WSBUxiFOk6qhDr+n0DoxXSBd6AxwMkUgQVuHrBlGU5LZ/ZN5sKuq8JpkcUpU1/mpJ3jqsARF67bIKgma1wRUN5A2rqsaYiCyOGaQJB5MJkRpysyjpZEWlPE57kqmBWFJrw4t1TeNjkjjjaDRGB0/fbltCXfDys4+Z6hZNDU5hlEabjCzJuNk6vvXh+xgszz76Id12QVfvCN6zXmsWLz9CxSk2nhDFCSaKiZIUE6cgFTpKSNIUIaCxG4yOQGmc6Kv6HJrOO4RSaKlJXcd6vaaKJYvlS4JfcjA4pM+5JchIsFSBMjhUBpv5U57Ol3ihyfMBqY7QCOzyhrDdkOxLtYN0Pb0Ra+og2bUaZA+42hi0Um/QCndlYF+WJJNvLfuiaPee6/KN398G4PuA8stA+q6F4303gPvOd9+6Xp/31YHyF1WQ8CtX+CCEeB/4W8B3gZM7IHpBTzlAD8ZP7+z2bL/sDcAVQvxD4B8CHB1N6dq+qiqOezkWgHeglERKjdYeYzSjUc7p2RGjcY61LXVdQxDEcYpQKU3lkDLm4OCUOBkRrENIz3Z9TV0viIzn+uqS6WTSR1RBMR4fINW+maHvKHZL6nLLaJCy2awoioJskDGaTHFCECdDTDTEB4mQHrGPiD/66CP+8A9/wHAwJMsMiarIjMf4gKs99aYFD2qfXTdRgogyEq0Y6ojQ7v9yqek6h51v0DIitRZhAwZJF/pOsdubJXmWoLFQVpjgKGRAONBCQGcRQZGrFNEE6l2HoMPaNdF4xG5dE1qLbVs65Sm1o8sD6iAiKNhauNk5gsw5GB0xSzO069BRTNOW7K4/I9cd42FEubxmmE1BRVgRWO08j977Fq7bsrh6Qao7pocZMvS8u9QGj+o7ONiattvim4AtPbXzNJ3FuYBSGqEUJDlxmhPnI0w6JMj+/yZNTKQNMkCzuuB6uYVxzs31E44GgUkS0d04ksExpawwVYGpG2TYoXXL48oinENcFxgbyHVEF1eI0Ee3IkicsIhUQaJZ1R2lizFJQp7nrxztbjtN383+CyHekoDtv/fy86B69/Vd0Ib+Uvgi/9m7bl3vmt4+x+3vn7u++xWfO/4X7Xcf6P5lYO2rKBD+XRhfGXCFEAPg/wT+2xDC5o0POIQghPipPucQwq8Bvwbw7W9/EITQ+xL0Xl8bQsDohDiJSdOU/CTlYDZhMhsDHVVVYG2vIYyilBBgs6tROuX05CFJMurNwgRcXz1ntXqJMYGbmwuiKCbLcqxXHB6dkqT5vtggsN0sKHYrkkRjbcNms4YgybMxWqUIFJGZoFSEDxJoaUPFcnXF9773XebXc957eEQcSbRvMASUMzRFwDVga4fDUTcdNniskaTDnJCn1LZFaIOTkng8RmYZoQtoC0JICjxFYvBZgqw7yheXtCaQ2gaE30fo7K3sBN45BILxaAw6Zl6ssSOFzyOKssHvCuLOkgQH0iGlIhPQGcPF9ZayMwidc350xkAphOtwvmV5/RxdXRFsxfy6QmtB4TW2ESwrz/GDb1A3jqZaggo8ubxkvVngfEcUaZI4IU1S0kgzMS1xFJNkCXJv+BNC/zgupcI5T92tqIs5vjLU0uC8oKpbAJIowkQGqXOSZMai2BKaDcezBOMs21IwevyY0pUkuwLddbRt19/cPSRBolCM85hMR1zWO3wI4BU+CKwMtLKXzc3XNTUJs8GIJEkwxrwZ1d5yt3uwlbdzKUG+5nKRbwLznWvs8+Am+BwIfmF0+dfjaz2+EuAKIQw92P6vIYT/a7/48pYqEEKcAVf75c+BR3d2f7hf9s6Rphl/82/8B3Rd+0r8b0xEkiREUUSaJuR5D8idrWiaGiH3xiEqpa4s8/mCdDjj9OQBeTamF7cGFvNrri6fMhpLVquX4DyD/JCqapgeHjAYTgj0KoK62nFz8xIhLJHOmd8s2e12HMwOiOOczkry4ZQ4GhOC6pM6dDRdwZPPfsz3v//7DIcDBnmKlDWG3vPWNYJq0+AaSWQStJI4XxNcQAtB4hVYj5MKl0ZkZ+fI0RRUiveKpAW7TNnYGn82JZtMiC7XbK+vaGSLwREJifJ9AkoIAbKv+V/aCqQlOj9g3GUo41jdrGnrHWkICGeRWBITiFODEIFV1XKzLHEi52B8wiSfoGzfFuhiuaAtlzzIBEUdWJUWKxO2XtN0guHhI6pWst0VVF3Fx0+fsek6qpAioiEQkJVDlyUaj/Y1WiriSO9b2HQIH0jjiGE+IIkMB7EhSnqKwZiIrqmwkWOUaAwVUpRcqgwVRSx/8oxZbjjIJHZdEOQx3eAAmw4BSdd1gEcGS6hrXNdhy5pCKC7nK6Km7zFHUH3nuuBppadqK0rnEcmIwWj8Rjms2oOqkuq1XeNd5cId4L2Pu/1C4P2KEetfj1+N8VVUCgL4n4E/DSH8j3dW/T/AfwH84/38/76z/L8RQvxv9Mmy9Zfxt8ZEfPDhtwg+7Fut9ENK1TuRCIGgBGFRSmIijXTgZGB+s2a9KphNjzg6f0Qa7b1pEayXSy4vXpDnEev1C8pqycnsfbwPRFHCZDJD7B2+nO+Yzy9p25LxKGe327JYzIl0xHAwxjuBMRlpOkKKhL5TgMcLy9X1S37nO7/Ner3i2x98G60sUniU8L1ov+4TarSezrYovS/ekBEqBHQXsNLSRYroYIKfDSm0xOHRQRPLCBFF1JlHH40JWUZSWuobgRGA7lsDmX3LFyHBKYGLNWKQcWVLmnVL0rYcFhVp44jagHIBZKCQDjeU1Acarz2rm5KqsZg453B2QmJipG1xXcVyccV4kJD6DfEoZXwwYRs0i9IymJ5gvWE1X+ECfHI9Zx00RZSyQxHiGCnpbxDBIgm0MkErRaQUwXZYUeO7FtE4VCsQ3pJ612tFZUVqBIPIM8skJuu9jBMjESqwXM1xbcXhUU4sG+qiZDQ7ptIRWxMY1RFKxATZF84YnYJtiQfgyortzZLZvkGSB1wQCKNIBhEvd1s6kZIMJ+T58BWNcDvdjW7veihwT/KLV2D5xUmwdwHql1IDfwkg/rcF7zf40V9gcu32fb/tWHbf+DrcoL5KhPt3gf8c+KEQ4gf7Zf8DPdD+H0KI/wp4Avz9/bp/Ri8J+zG9LOy//LITBBTOT1ABZAh4BXYv6VMChAvoEAMNigohBEW34erqmrJynJw+5ujwAUpN+/JOalarT3nx4scMhzHFdsN6VXF89CFFECAFp8enxHGC9/1j92azZrVekWUJMgjW8xW2C0yPpzhpcEEyHYwwUdJzVL7XrJZtwUc//oTvfu8PyfMRaRShXEEia1TnUV6w2a2woUHHhjjP0EajcdS2QbcCtKYwii5JGaQj9NZRLy+RQDTIyOKc0mqEhXzTYqykMVAYSdxGJDZglKcONcLEdDpC5AOGJ8eQJjQi4KsdzWaJq3aYECGDxvpAKwVdLEnHBilbdig+riSOmOM4473ZMc5LumjA5eWnJGJDUbV8nA34pgukbcUChZp9wLbK6a7X6MTx6eoTXkaWJjSEIElRaFcTBY1wHiP7yrxI1gQvUDKiU70pDxEIVJ8wRfdRph5gveDD4wknpmLczGG3YWMlq3jIzezf48XiuxxGFzyIJrTbhDo9xmU5m8UFUadZDzOSThFXAo+hjmNaExO7mqzakq8qOpfhhCWoBhc6onzAvHYUTUyIc7LDAXGaEOkIrQxa6Z5rlqpPJmoNSiKk7qkD1Ue5QQpQEi/6iHivgPvCKHf/4t1JrleetqL35L1tKfWq/554a/758fOJlH+GBuRfdqZfMRnZV1EpfId3f3r/yT3bB+C//uneRkC4hs3NnHw8RqYRujdF7EFYSoQrCL6lbkoWyxsWqyVKJTx88Jjx5ASlkr5SzdbM5y+4uv6ULDXsig3z+Zzz0wcQJE3b8uDhQ0bD8b40V7Ldrnnx4hkBh4k0282GzW7LYDgmTtJXSbkkyRFC01cECTrfcXN9w2/8899ivdrxzUfnKOFQ0oIvUQia0lKVDRJJEiXYzoOm5x2NIHIe4xTCKTqryFtFsd1ilxuCCLjGEo4TVk1N5wOXz18ymY6Jley9boXoi0F8IDYRTkhMlJKNp2y3Jbv5CiKNNpI8HRCKuue2vYVgsb4lyRN0amhFy+Vqx6qSSJ1xfn5OFhlMcKxWN1TFikkeaLdrimLHRTwhT0f4KEF2lt3VJ4yTIZ9cXVBIg/cagkKiEFLhhaLTBi8CjZQE58hEiycQgsV7hxT7lvdC7hNiAR00XgoenJzy4ekEs/oM2QSsF1iZINMJq3JF0+44PMzJMayWLcM84eVPnrIoNsyOh8xOZxQXKxbLig5JO0qZvn+CawrCYo5qSnrro0AXLESSTkm2dUPtIMuGjPLhHmRf0wdCvKYNegB7He2y52Hf+J17JGJ3xhvA+45tXh1DvNYv3+7x5jFed7L+0vGzAqxfvhjgazu+FpVmAkexeMJv/rP/l3//b/xNvv0f/i2UUSgCOI+3jrK9Yrvbcnm5gBBxcPCQ6eyMfDBFCEUIgqpa8uz5J6zWl4xHCU1TMp8vODo+IQRFVTacPHjAbHyElr0qoe0qLi+fs9stOT6Z0dQFy/WcJI2YzqZ01iOUIB+MiUxCQO9rxR27YsVHf/4Rf/Jv/pSjyQGTQY50JUbUyFAjrKZad3SlxwhNUAKjDYRAudmhjCSXGcIpcAKJBi9QUjPIe12pV4Kt7agihRKKSRwzjhN28zkmBJSAoDyBQKQ03kNiItqipix2RHHCbrNkMMhRIuCIEN4iaJGiJYoCUWZwccomCC62WxwZ0+kJs+kBwTU4W7FbXjJIJUZYvnl2jHAR137IpRyRmJTts48YRY6X85fsQkJnYwZNSVl3BOUxiQTTm8JbHEJoggq0e9MfPHgXEEESa43wAeUhizMm+ZiDgyNOZmOiZgXBM54eULeO1sZgMm6ef8w4lRzkQ1jXJIUiFDsGleBgOGSoDd1f/ISo7Aho1j7wdHPBMLUo11BfXTPrLFp4mtARJJClbATMuw6vE8bjGcN4gFHylbmLeksWdrfj9C2H+walcIfL/SpJs7sY+KXR8F+Pr/34WgAuwaFNxzBXbNcv6YrHyCylKgvK1YZms2MeltQqMGQIAAAgAElEQVSNZzI64/z8mwzyvv1MX5lkKcodnz75IcVuycNHp1xfX7CY33B+9gCjYzbritOTc44Oz9Eqotf6Om6uLyl2a8bjAUoGlpsF1nUczI4IsmcOkjQnz0b0H1dvMG3tjmfPn/Cbv/GbdLXl/fePMcKiQgm+QISKpoioNhYtEhSKsqj2OseA8x1JmlBEgSYSmMMJ8eEhbZ4RzcZEBKzoEzZOKY7GObJpyYPErtdQNcSAFJ6gAw6ovQcTg9FUdU3XdkzGY4ZJjAiepqixTqNCh6JD6pZslBBSTSE0zzeOdRejzZjT00cYJTChpdpe4eoF05MMHTqU9SgfsRESm49YPb1gZlIuN58xx9LqhKmM+caBZLMLVF2LoyLoFrSicQ5HoLaeyxD35EHwiADK915ukdSM8gHnJ2ecTs/QOExb0CyusJslwWiKoPCjI1Zlh6hvOD+ekFuFXVpUnWJtR2ZiEgW+3JCVFdhAJwNWS07SlMMkol4WqM4S+wCiAywqS6gSw0VRUirNcHbCbHxEJmMizRuAe1cS9rYe923e9na667L1roTY2/u9Pd6McP96/CqMrwXgNk3Dajnn/W9/g7Ks+ez5M1oBu7LE1y0xCj2d8sH5Qw6mDzB6QN8c0tO0G15efsqLl08YpILz8ynPn33CrthydvYAITXbXc3BwTGHR+doHe+tIDuWi2uePn1CmijSNGd+c0VZFAxGI6I0oW4so+Eh48kRUsb0buQAgcXqhj//iz/jD/71H3A0PWQQG5QtkK5A+YZgLeXaY2vPeDRGK0Xbtkh6vwijNdZ17ILH5obkeEIYZmy9I1IaRMDJgIsUonOk+zYuu9UKt1ihXUAr2RMvUuCEwCEIKlA1BbXrgaVoaiaDjHpb0jUNwgsggOxQkUMPDG2iWXeey01HJ3KORjMOJhNCvaOq18wvPuFwZBDBEYQiqIzFLiI7GfL05jNGQjJfV3zWKMpRzFhIPpwkDN2G6XGMMcM+UgugVV89Zq3l6c2SFxvQSIQLqCDRUmEQHE8OeO/hI6bjKaKRGNdht0tyLGYypXSOthFEac7FxTNOY8GpMeitwzaKEDQi0lSyY3h8wMX1ilwKTBphhYQk5uRgjBaacteQEvddMkzT861pwtp5Fp2DbMT48JgsG5BIjVLhc+B6H8i+AZxvR7pvUQpvy7xeze9cJ3/ZCPfL1r/S2u4LFn6aiPlnrZ+9r6DjXeblX7bvV13/iyyI+FoAbtU0/MGP/oShSQlCYusakaYMhkOODh9wMJiQjY/29okGvKCzFYvFBS8vP2a7u+TgaEgWRbx48YS6bjg9OcOYhGLXMBrOOD55QJRkPW+LYLVe8fTpJwgsw9GYpqootjuiOCYfjCgbh+0EcTrCmIxecNV7OxTllqdPn/Ld7/0+3gVm4zHSldAuCe0aLQNNAa4OxPsk22a3IYS+Ii0ypu8m4SWJ1ugoYeAVm+sVbWdh7+LkdaAzfWuUrvFQ1OiyIekcRvSxtpcKZKDzDpmnpMMRu7ajqRqCVMgsYrldE5oGGUTvliYCVoMeZ/hhSiEEl+uCupNk6ZD3T49xuyXzFz8hlAu6csnaxawWniAEUg4Yzx6wmV+RNmu6Cp5tO9bjEwpaombNixc/5o/KNVmSMEgyIiSn0wN8W1Kut5wfndBVikhqpGfvh9D3DXt4cs77jx8TR1HfBNd3dNsl3WZOHEOUZiw2JclozGqzRtmSDw/GDDuBXzdIq7BSUaiWIjFUkwwfnWJHFutBaU2e5xilWb28QLQggsZKaHGIQUolJfNdSYgyhtMjBoMxRikirRA6fI5CuA9w36YU3gZcyVvb3gfU9xjc3LfNfQD80yTEwh5s5VfY9xdJYfy05b333QDeXvbLLBn+WgCuNobjszNGyQClI5LRCNKYKE6ZJENiaUBkeB+oyoLF4orF/AWbzTVx7Png8SlVteX5Z08RUvLBex9grWC1LphMjnjw4H3iOCMgIXTsdj3YFsWa8/MTJIHleo2ShlE+wXlJVbccHT5gMJi+jm4B51vm8yu+/4c/4I9+8MccHRwxSA3CrcCuiUSHK6FZGbraMsg1XWhx0tI5i8eBE/iqJlYxg6BRuw4uFsiqxbSWmD6adTqgTMAqQec82gUiqVFK9LI0+dp3VGpFkmbkwyEGwUhI2qYlU4qyrvAhYAQEWpx0iDRGH0yok4irTcnNaodSQx4dn5FSsb56wUHmGc+maDGi6TyN1xQtFLVk6xyhtiRC8hc3FxTpMc4k6CAoy5bnrmadPSaODInUxAF2dUpXBGajD/ikhhfFBq0FaRQhrGOSDXjv/CEPTs+Io4imbXDWQbXG1RtSI9mVO7YeahGRxAnl5Se8N0s4jBRhXkLpUF7jjKe0JY0e4NKMbDgmmXmEtRiAqmZzcUW7XKOtxYlApT1tolFZws22pLKQDiccHhyTZTmx0ijpEUohvyKVcDfCvaUIXm/z2m/hdnwu2r2n8OFnNT6XrPu5nOXrM+42xPxlge7XAnCNVqSR4vGjc7LhGIfsGxEKhQ7Q1TXrYsVyecPFxWc09ZosMzw4PyGJI64vryl2BcPBiOlsRlV1LJY7Do/OOT9/RJxk+AASQV3t+PjHf85qdc3x8YxhnnJzfdVHqtNDpDQsNxXZYMLR0QO0SbnlbQOWqtrx7NknfOd3/yXOSiajKcK3dM2SOOyQXlBvJd02IdIeoT2SwCDPqZsaicK3gtAEgtB4F/C2pGsbgpCkQpP40Ks0QqAj0LWOENibQfedLdy+FbeQGhHAEGg3FbtNCUmCzlJiY1gtFoSiJAkB6QJKBmyikdMBXZ6z6Fqezle4YDgazZjGEZuLj5jmisORRnQlHoiilG2l2DmNGeTUuytiofno+Zp1PKSOIbFbRNPRqYxtkiPVEG1iOmepu5bStWih2OwKuqYCo0mFInJwenjChw8fMxtNMEpR1w0iBELX9R6+xRIdeWQcsbaQHB6wWM4ZaMt5HtGuO0JpSYlQgMMS68BqW7C9KcmnZ4hQYJuOarlElyVisSSrSqRwNMLSxh4xzll1Haumw2QTppMjJoMpiTEo2TcolSram9a8m1a41eXe+iXcTZrdH8n245WZ935I9boX2s9awvW5Y/0VSL7dbQ//ywDdrwXgdm3L6uaCG20wcYaIIkrvKcqGelsiWsei2iKlZzxOePz4jCwxLBdrVjcdvjMcjd8jGXu2uy2r1Y6T00ecP3ifOB0QgkAKRVmWfPbkJ6zWc2azCcNRzmq1pKpqRsMRkUkoioY4GXB0dEoUZQg0Ye8A2rUNL1484zvf+W0++ckTDibHZGmGc3OCLYAa1wrKrcbWQ5JpoPMbbOjpCRssEnqfABGhdEQd+maQTgqUVuADwgUcnqA8nQwYF0iRvarCdgil8UK86p9FEAjrEK6lsy1tUZM7yEYaGkuMIhEBSYfUAZXFqMmIZfA8uV5QdIEkyzmeztjNrzjKDYlsaYstqQEfJNsqMJh9A28HXF9fMDMVL57WrG3OdpwSVMmw3KJrmCdDiijncVdjnKdzHV44jNE4LGVVIgy4znOYnvH+w8eczg5JtUG5vvAA7/dGNyuot4wygwwtLQqdjai6ft2Hs5jIFlSVQVlIg+htG40iCZ6BjNm9WNFuEpS9wBYb2G05kJK4KomDxWpLLTtEbiilZ1GVYBKGgwlHsyPSKEFLidYBpXoQlG95J9yNbF+95k6Rwz1gK+8B0LePcZdTvQ9wfxqfmHeqY+/hi7/4OHc5T7G3dXzr6F/C7X4V3vQuBXB32X37/rTA+cvS7349ALdzvLzecrP8i77hY571pgAI0jRmPBrxeDZlNp2htWK5WvLpiwusD2TZkNPzE9q248XVHGs9Zw++wfmD93qPBfrMc9Ws+fjJn7O6uGSUJUwGGeV2zXa3RWqFSRN2RUXrA2ez95kOz1C3H49vCSGwWS/49JMnfPdffZ9cDHg0HZHJS1z9jEh06HpMuRS0VYc2DU5KWiuwLQjrkF6iQiAWGi0UMY5gLUKB1xIXHEEJOi3wwqBFz2tKHeiEJziHDALlHJLerhDhcMETWo9oO4xt0LFg4GPC1mK8w8gIggEKVFzCVLLOPD9eVFwWCcqOORsc4TcXjIwlNpIusizbhkQeUC1SDoYfkImMl9f/Bq07fjSXLK1DDRKStkOGiEZK6sijtWImAnWWsA0dTkAmY2IvCeuWoY1J8ozTh2d8czxFRhqpHMFIaizeWiSetiiQ5ZrjZE1VSrZ+RJWMCPmQpy8/5iDxnMiUZFFR7TzGG6QXBGKkHHA0mzGcjikGAzbOIT+9wa8WxJ1EyBhCRKcVtQqQgozg2S6iImY4HnN09pg8yzBKoHUPskEKhFJ7v9s7puPqtXcCQtALyHv9bd96R9KzthK5n/f9e24j2j1k7emH/qFKglD76ZbP7UG4b3VzC977c95OsN/mzShO7JcLKSG8hs2fBm4+383hNhz52bMf90Wg/zZR6S2VcN+xflGJs68F4A6HQ/7O3/2P+gaKtkOp/guY5Qlq/0jl6pZit2O+mPcmLdJwcnxImubsioKrq2uE1Dx+70NOTs4xOiHsyzR35ZbnL56wnF8ymwyYTSc0TcV2u+u9GvIhTdOx3pacnjxgNjtGyah/c6HvI1I3Fc+ePePXf/2fc319wzcffINBCq7dEmxLcIK69JRbj/cgIkdbtzRNTddZRACtDF4ZvFI0eCrR0RmPMookMuggUfTuaFL2xQIoRYfFugYhJSqAEbIvJJCSzjk6b/uWNLbDiYBA0rV9RwmtNEpIhPdILVHDFJvF3OwKLuc7uibmaDRDe0csW8aJJHKOpuxIsgmLRcNs+JA4z/jJs0/wxvPy5oqbMkKmEU66HlACeKUQxhCZvpMtAVyQvaY6CEJjmQ3HnM2OGE2nZHmGm1/TWknXVMgkpnWWWCu0sxSbG2LpaKsGlRwg5ZAoH/HZ5XNMV/PgYISqLV0VEF7QKsF2aFCjCWZ2AIMRrY4ISpMHzcHRCTdlSyjavlhEQhUsnZKINGZVrKmtQEUZo8kB09nslfzrdi6EeCO6vY9KgP7Boy+I4B5lwp3oldsYcS/j2BsPvQLXu+MuoH5Bt4gvQj1xF5DfBq+/LJDdgq7g9U3jrXPeBbufNgn286BR3jX/eY+vBeBqbXj48D2ECHRdg3N9RZm1HUWxo20bQutom5bhaESeD6ibliiKePb8OdvtjuFoxOMPvsV0ctBHIsET8FTVjqdPPubi5WcMRzmjUU5nGza7DVJKkjTHWpjPtwyHM05PH6NNvIfq/v4dvOfp02d85/d+j+9977tMpxOmU0ln53TljkQYQqeoit5WUBtFa0tU19MDwkHQChdpOimw0hHnOdoYSAw6SZBOIqoO0fi+h1QUEbIEl2ikCIi6xNZt/3crhRQSrRV162hcAOlREagoJUpyVBz3n60EbxuCsOhcEWYDCim5mq8oC8cwGTDNE3S35Px0iGzW+F3NIB1zcd2QpwckqeLF/COc7ni5WLEsLFGcorR+9ZjsRegz8rdgFAJRB5EUCDR5EnN2OOY4GzBKUjyBsljhXUUImiBiXN1HtlkcM796jvI1BIvSY3Yy6jXLdk27vODbBxOOnKZdF3hvEMbQGk2YjnAHY7aRZNusaLeWTGeMsyG6U8QYRBxQWLrQ0QmPy2JaoVl2fev14+NjDg8PXzVJfBdX+znO9g7gIvicMXmfAxN73LwF3rsX+11lgnj1867xxvm+xuPtqPJ2/KL50/vA9a9khAsghAYczjnKsqSstljb4n1HFBuSdAhCMBwMKeuaj3/yKeyb9Z2dn3P+4AFx3isK+r5njuXqho8/+lOW80sm45zMKDpbUde929hwOMFaWMy3RCbnvfe+RZ5PsUEgpKDvqiWZL2/4/g9+wO/8zr9AKzg5OsB1N4RmhXAdUiR0VaCtLXGckCUR1gtkJ3AWGttRB08HBKXIp2Nmx0dIraHxiMZhm46uC3RakU0niFEv2XJGYDpHWg0J1rGeL7Bth5QSk6WIyGALgTACgkPpFBkPQBkiJbHdDkdDnAbEOGYdaZ6uN1wuKowYcDKZol3Fw+MhOsxRqkOkCdcFdHXOeHrIdjUHv+XixXOWW0eSjDEeROcwUQ+w1vZG7HR9QkIGQeY0PtaMZ0fMZlMGUpELCV2L8BZNy021YjCYoYWgbVpGgyHb6xuka8DvCFg6eUglNJUJfPb0J3xjlPC+iRDzLW0j6FSOF5APhmhi1k/nVEWFNIbgA1etJX78mHbdoL3CC2h8RaccPktwccKitth4wng04+joiNFohNb6FWDeLXB4u5rs/kKH16AqbxOcogfb296Ot5Gv3NNnryNA+Wr64mvmtvDh61/58La5zC9LlnX7Hu6+/iunwwUIwUHwaGVIkgRtBEoJhAgICV1puby44vpmTlnVXN/MOX/wgPc//CbT6RSjI7zso7q6q1ktrvnskx+z28w5Opziu5pqtyGIDIQgzXK8lywXGwIRDx59yGh8BELvBWAB6xxN1/LnH33E7/7e7/L0syc8fnBCrDyhWfUlvCLCVoJm55EYvHMU1Za2KwitQBBhCQTd2zmOh2MOpkf4OlDsVqQVaCtppUdNcuLjKWqUQaSp24btzYbdrmIYFIfTGbFJqdpAmqQMh2MGUjCeOVxoAIshJhIpWOiagq7pCMajxxFuYLhoWi42NS7EPDw6JfItkxia3RWluyGIDikPeLbu+PBbf5vtdoVrKpTbkbY135o8QqohedxfNH0RiccG9+p/eTchVLrAWT4iS3Okc0hr2W03uNARhMMFR5wYZJC9y1lZQNd3143SvguICzE+0lzcvORwlPJekpOtKtpdi4pGtDolyRSh8/jFhlnlOZUJVWkpI0mZZvjNhm7XQPA4LNYEyCI6oymloAgaPZzw4OEjhsPh5wD2llZ4O5q9V3t7B1Vfg+dt9BpABIQIe6nYvuMtdyOwO8vfAUxvy8fexU1+/jp7c919LlvvivrEK+6YN7b7suO86328fewv2vbLAPqrJNbetd/b3O7Pc3wtADfsy10RvbtSovqeZNZZqqqgriuuL+Z8+uQJ0+mMJM04PT/n4eP3ODg8REmNFPJVb7Tnzz/l4uVTvG04PztmPBqwWszx1uJ8wMQxQhqW8x1NG3j0+DFHR+dI0ZfuCjy2awlCcHHxgj/9kx/xoz/+IbNxTiQsvt4i2gIpBb6Bat0hOkWWxITQ4bxDE+Olxrn+7xBCMhpNOJ4c0qwqqk1BJDXBS2qjYDwgfnREyKO+amy5xb+cM1gWWBHw4xw58AjriYQiEop6W4BWqMj0XrGJQnmF9hpXt6xWG5rQkAxifBazI/BiVbBrArPRAaMoYiI6TkaapnA4k1CR8GTZoGfnuCSimNdkQaAbz+PBjPHgAKOGKFfgnMPjQe4TRK8S1XvOLjY8Kzf4XYkejxFSUbfV3mjN4nBkwzFt1zFMYpRzVLstwrdIFbAeUH2vM9dVTEzM41FOui2wmxIlExqvkNkYFTnW6zlxgDTqizu01EzSiIESrHd9D7sgLVYGXBLRRYqNC2zaDpFMODh7xGg0xug3Odu3PRPuAt27VAq8imrf/K73XakFQmsE8pXK4G0AfZvDfTsquwuK96sXwueO+fY+923/+nr8PAi+am/+Bdj3ruPcB5g/Laf7Vbf7MoD+Wagc/rLjawG41nZcXj7FWrufeu62qiuKXZ/YctYRxwkPHz3i8PCYputIkhTrPGqfPFotF3z88UdcX71gNMo4Oz1kOh7hrUWZCKmi/tFbKFarHU3rOX/wPg8fvk8UZXffEQLL8mbJZ5/+hH/x279JsDXnD8/x1RppLYkwKCtodoF2F3pbya5GiI7WdjgvUFJibd+uPB+POTw5ZbVc0WwrMhUhkRS5RhyNSQ/G+DzBO0s338DFknxeMmkF1cDg85y2LLFVhRSCtqqo2xadRJgkJpBS7ipC26CDp6tLGluiBhHRZEShPS82BUUtyNMJZ7Mjkq7geChI5A4ZSXZdRNVKdi1884MHWFEBLalJMc2Y8ShGoQiuwrUNOIf0/ZdbvUr6vE77oBUZ0BUlUiiUMVShwglNbWE4HiGjBOkdkYblcg6+I9DhhAKZkg0HVG2Jsi3fHEwZ1hbWDQ5DqwyVNmSTKdJVMLWUMtAYSawUmZTIXYVdbMhaS6sdnXSExOCimMI7Si8QUc7x2UOmB4d9p469Oc3bIHpfZHv7Gt4EYO4UNOzhB+8dIXi8F3tHNHrFwD6R9nrcSaz1B/75XXx/PX6h42sBuEWx4/f/9b/EWt/rXTuH1n35a5JkHMxOSRJN3TSMxxOiOMZ6cD6gEezKHc9fvOD62XNWyxsGw5QHp0cMhinWNlRljdQRWkd4HJdXc9oGzs7e4/HjD0mSAXArzAkQLPVuxcWLz/it3/h1nj35CQ/PjhilEZ2TRLSIRlJtLNUGZIhJjEBpj/UB6RVdJxFdIIkjvFJMDg7YdS1rb1F5RC0jLAJ5MsEcT4mUJhQ1drXBLdfIpqWJA+UoIZmOaLSg2O4Qqnfc8iFgsggdR6TDnLaxyE4QWouzO2y7I8oVySTBxTFXuw1Xm47UTDk9PCVyDbNMkYgdvlnjPHQhodgKjrIzYiQ+FBjdEashURQTGU3TrqhsgXV7nnIf2RqlEbBvjUPffaKtGSUxu71Xa+cVMs4YJilZNyIfpFgnwZZsl88hVKSZApVQW4WIhmzbQN1dcZiMmFYeuaiRbYQ1sHCB4v9v791jZdnyu77Pbz2qqrv3+zzuPfeca8+dh5lxCMwYxxiBFOKIyKAoEIkooAhIYmUSiSggkQcmUkhE+AOJ4BAJoUzkBBOROMRgPExM8FNYCDzjGTN4Zjw4HnvuzNz3veec/epHvdbKH6uqu7q7+rHP2WfvPvv2d6t3V61atWqt6lXf+q3f77d+Syn2d3YwUcLBnT28OLwrKPpn9I9P8WcnxC5HUZLZFB9ZishyXnjOcoWLutx54QF3bt8hji1WhxflXNSvlu86T43pZXNqIqVSIVCRqkepKn5tY32z+e/aBYxx2iJJcYvnBxtBuIHoSh4/fsiLL95jb++AbneXbneHbqfL4eERxvqwrHXpGKYpSinyouC911/njTff5N1332VHKe7fu8udu0d0uhGlyxkMh3jRxHGXNC149Pgx/f6Q+y+9wssvv0Kn05tURARw5KM+7739Jr/0i/+Ez/3iP+HunVvcPtwnT09RLgOXUqaOtO/RxCRJD8oBRZGSlyNstAt0kFGOLoW4mxB3OqjEksQah4DWJJ0eqhsjpcc/OkGdDIjO+xjx5LsJxe0eb+9Yon6BefeMKLbVRIugGsEoom6HUoHKDYlSDMtT8mxIJ/F0DjqUieHh4Jz3zlK8Dkvm7Hf3GT1+g27XoXwfYUSeaxx7DM9LYg3n8UOS/ZzdnsEPBDG7nAzPcCYj7+RkNiGyFiVCkRd4pYNKwYUlkqLSc+iFnU5CGkXk3pEWBaIjHJ64FxFWIVf0zwcMh+fsdoSdnmVUCMZ06OeGk2HKwZGmM3REpyOSVJE5wzBSnLmMAY6zdITqWWzuUccDopNz5PgYOxqhpESMIpMCF5X4yDByJSNnwCbcffFlbt1+gU6cYI2aWoW3Jrh6KZ1VYRWnjWYT/WvTP3WSJ7jvgQ4TV6TpIFb/BYK+8XNu30fYCMI12hDrhKO9I472Dtnd3cWYiCTpYK3BlyNSX4SFTxwMz4cMhylvvf0WJyePyIuU24e7vHT7Lgf7u2gDw9E5WZ6htGBtzChNeffhY87OR7x07wN84JWP0use4nzQ24bVT2GUZbz11tt8+au/ys/8zE+hy5R7+y+yI448L1BOUY4cg0cF6aAk7qSMdEpa9PEuJ1YW4wRdZgwiRd6LsLsJ7+ZD9nsJh70D8IITIQP02TkyOCc/G2ALONzbxUYxmfJ4Ys5PMob9FJt06B7sE0Uxvnp6rY0RpSrfZc3o4SnDPEMnGnuU4Pe6PC7grYHnzO9ycPAiLxy8QDYIM+NO+yNOi4yy1KRFBJHFdzydO5qDbhebDYlyhy5KsvKE8/IMSSwS77KXWKwxaBQUHnGElYXF0D/vo5xQRhFiIiTN0YMh1kZkeY7TGqNjXJaTDt7BZQO60S55mpKaLk45Blmf8/whh/s7/JbHOxSnKb4PqY8h3sNGlj2d44uc07dfx/cTOuLZyXLysxPU6ByrwClHqgQXWUY7hkEJqcT4aIdbRy9x++49Op0kTG5QVCsntOtl62A0Y2OWSPgt6m0aZFkZe5uqAVeWgAZReMLqDIKr/Fcb/rfjMj1hCagJBQc9efiu84fAM8sNVouWoHkaiXlROesvcTMZHSyzWYlMT1poq/PzIvlvBOGKCFpp7t65Q6eTVENTT1kEy7tISYljMEg5OTnn9KTPaDSidAW9nZiX79zlzp0jelGXssgZpX2cc8GPUlsGg4zXXnubPHe8dP+DfODbP0S3e4BHo8RQutDpi7Lgjddf58033+bnf+Efc3Z2yu2jPXqRUA7PIM+gcAxOUvLMEcUWbSEvM6LYoEMgSbJhidHCftwl3tlDdRLykSd/4xF+WKBQ2F638tc9pUjPibRFR4ZBlqKyPMwyGuUo70i0wcQxaV4wTDOc8yhRRDbFlSVl4TAlZINzvIH4YB/fVZwUnvf6I0a5YXfniLu37pKYCDJhkA0ZSY54RZaDmA6guffgHnGvg0oLVA5qVCJ5gStSsnSAU5qO6WLEUGaOIs+hqFamyB3dqIMqNLGNUNV6cYPjE9TODnQ6PDx+zAt37qBiSzrq4wenKA9Yi+4kZFpxfPweLh/wwm6Hjis4PUvxKEYRYDU7tw6Rbpeu91hNCOxeOHSWUgwHOJejY01BSSGBbH1kGFCQa42KehwevcSdF17GmojIGow4tPJhqRyZlmRn9ba+iuZW991p96xKRh0bwhqqgimVRJS7HC8AACAASURBVE3EfvwdMs0+HH7FdNzJjLF1rfmbQk6r67H57m4XxUYQrvee3t4OxhjSPAMlYYKXKxicDBgOR5yc9hkNM4bDEZ1Ol6NbR9y5c8TBQY/9wx2MEcpRTl6M8HiMjXBeOD8f8dq33qbfz/jABz7EB1/5KN3uHkJYHQHxuLJEa3j3nSAx//RP/Sxf+cqv8uLtI164tUsxOkUVGdo7+qcj8qFHmxCzVgPiFUWWg9I4rSitobt/xP7RLaKdHoUWIq1wo5yzd4/RCJ3DHaJeQmeoGT12+NKFyFGEB9KLIstzlDEkSUKys4NSCleU5KOUIsspRjlFllHkBZnP8SojOewRHe3S9yXvnJ7w8Cwn2Tnk1uERu5FFygzxBb2dHr2oRMg5SnYpSRC7g9KWPBvCKMWnKS4vSAdDSu/Y7XTo3T7AdmJ8FpYbd5nHF56IDg6HlIbYRMTG4vKUfDikGI0Ynp7gi4xYwV4vIR2dkw7P6HhPHhnyRNOn5OGjd+iUjgc7+xzkUDw849hYMi/Q69C7dZdi/wCnDQ4hMposTTk4HzBKhxTpMEiNWiiVobSawhhS8XjTweiI23cfcHjrJbSOsdpiNCgcRgBtgrfMjDdCm8qg7TgwDsNYo06vVRNjT4bGscXkUwdLGPtiMUXOG0KeW6yHdVbtfRn4m8ALhF/6U977vyoi/y3wHwHvVln/nPf+J6tzfhD4AaAE/jPv/T9cdo08y3n11W9wcHBIlmWV60zwXsiyHBHB2l12d/d58cX7HB4ecHTrkIODHawVUDmj0YA8T9FWo4ymP0h5/PiUt956RFkqXnnlY3z4wx+l2zsi9NRg3AlGDM/x40ccP37IL332F/ncL36OnaTL3k4Hl5/j0zNMCfkwZ3AyQDkLHcXZ+TH93NGzCYntoG2HgYfOrSP279+nEM/AFwzKkl5vFzRkfYNBkUagI0GPwEpw7VK+chNS1YPpwTsoypK8CDEGIhSx0kgxoswydFGgHRCV6D2FPehwJoq3+imPUoPp3ubu7RfZSxKMy3D5kGH/lEgLeRF8ZxNt0SpCRzH9sz5RmeHzDMqCMs+xWgcdZy8h6vTIyoKyVBhvsEYTJxEUjkLysOS5ifCuJE1T0tGIxEb4ouTFW0dEvYSyzEhHZySxotvrMVKeocs5OzsjsZp7uwfsjzzm+Ix4JOSdhG4c4+IOo1HJefqIwoV13A5399B5xuj4bbJBH+VKlNWUAi6KyI2ij6NQCtPp8eK9B/R2DomjLkoMSsCIQ/kQmMbVcQ9mVApVvw4dVtVS7LzL1SwhtxFqLQ03SXe5tNcMDFNvz0p/W+J9HrCOhFsAf8Z7/8sisgt8QUR+ujr2Q977v9zMLCLfCfwR4F8CXgJ+RkS+w/uGZ/wsRNAmZpTmDIcjtNZEUcTB7j7dbpckSdjp3qHb7dDb6dDrdYhiXVUtxJn13qONwnk4Ox3w5pvv8fhxn8ju8JGPfAcPXn6FKOrgyrCEde2RIOI5OX7E22+9xle+/M/5f/7+30MjHOzuEGuh6J8Ru5KsP+T80ZBiBOINWdnHA3EUo71GvEGI6O7u0H3hRc5FGLz5LrEo4k7EjnW4UU6UhyDbpl/gsgEuy/GiQthGQFuD90Gn5/KS49Njho9Kbr14h/2dXvDiGI4o0xG+LDECNrFID+RQkVrFu+cj3ulniN3l7p0X2ev2SMoQTezx6XtoKYisIYkikm6H0imS7h6n5xl4T3repxiM6CqD0oq4l9DtdCkEzs/69IfBQCiiSKIYo8NsKR2HCQ+5zxiOBqRZilMaaw1YSxJZvC9JR33iSOF9wXlMIP405UWbsGc6qPMM10/x3uC0Zi+PEB1zflaS+gIlwm6csBt32M0U/eMBxfCcWEGpNE5pvDFhUgOeVKB3eMCt2/fp9XYxymJUWFvOKkFLiLymtYSwoCvI1MskT5uHwSzhTqscLjqsb8ZubS4I2Ty/ndTnSprxkW3T864zzG+b+LD0jKrcZxH1q3mNi5Z9HTP01lm1903gzWr7TES+CtxfcsofBH7Ue58CXxeRrwHfA/zTRSd0uz1+27/8XdVecJkx1hJHEXGSYK2lE+9VrjQOJBAtVbwDcRoRQ5oPOT4+48033qXfL+h2D3nllY/y4OUPopUFUTh8sPBTgpScHT/mrTe+wdd/82t8+u/9OFKW3Lt9i16scYM+kROKfkp6NsLlDmsTtErQVtC6Q+QtMTHWdDC9HdT+LqWxlAq6t49IrMVZRRlFKK3YSxJir8lcwelogBQFsbZjY0xlGsRGEbvdLmINangGvsSIohiluCxFxKMjhdIK240x+z3Oo4x3zvo8GnhUssfdFx5wa2ePTlmwY4TR+RmHuxalLK4siJMYVAj1iLI8PnnIQa9HVjocgooTkiQhjhLSvGQwGjJMc5xo4r0enSQB7+kP+uRpRidJiIxl0O8zzIYou0tnd5c4trjYUHpHkRcYG1bsRSvecSN0mnEkMQdOo45z8kFOgWYQR7hE0001zoXhkhFNHMfs7e2ifcno/AQtDpVEZGWB04bSxoy8METwcczR0QFHL9wlMTvBH1g0RulKHeQmvrTi0aKZ8qGdJVWpw2IuJuVm3jYSnCW92QkCzfJCHhokF56RxhPKohdEE23Xan6vizaKWqeMy16KZ11478nzfDxT8LpxoRqIyAeATwCfBX438J+KyB8HPk+Qgh8TyPgXG6e9RgtBi8gngU8CfNu3PeBDH/rOxqybIIWGTtt0CC+RsKg2wZnMU5ae0bDg0aPHPHzvIY8eHjMYFNy//0E++MGPsX9wt1pssrqugtIVKCk5OX7Ir//al/nmN17lZ3/qpzh5/JCX779MR3J0OcTnGW6QMzpOKVOPwpBT4iTFKEOkLVbFaNPBJjvs3DrCdWIyKygTHnYVxxSqJBMhjgyj/ojBoM8ozyjE07UaKcIikE4JOorDCrsq/DRRr8teechwNCAbjlBlgbZhpQBvwO4kYcFD5Xh3kHKSCrv7tzm4e5/d3h5dUXRdhj8/JbaeWIL/cqkMiGGYlnR29hllBXlZYqKY+OgWWZqSdHdR2jAsPalLSZVGert0E4vpeEoXjGZFnGC6XcRqBnlO3rUkezvE8R2Sbo9SQeoK0jJEMOt0ugwHJ5yen1FIwaHtslsqbD9Dhg5UjPS6qP09XGQpRymgMD4sxVOWJQMylHaYWzGCIT8+xxNRiGHoFalobLfH/p077B8eoq1BE2YkahRGBOXBewHlK1VC8COeJbD6e0wW0k5Yi8h2Gem2YZqcfIMsadStYaBbYlxah+gWSYTroK3c6zbKNSX1oihI03QciEhrfa2xJ9YmXBHZAf4O8Ke996ci8teBv0D45f8C8D8A/+G65XnvPwV8CuC7v/u7vLH1TC+Z+a5vzrAiWweUFGXOcDhgMBhycnzGW2+9zfHxY7qdPX7Ld3yMl1/+MN2dI/BBOlIiQSlKgVIl/f4xv/61r/Dw4Vv8wi/8LG+//Qbf/vIDIhOjRo8wZUGR5oweD3EjjdUxYhVaeVSs6egekUpAR4hNUJ0eeWQ5OT/FKY9XnjjXWBujxCGEqGFRVmAKxw4eIk2BwxuhLAucCJ3dHqlzDE6PydKcTpTQ68ZEovDiMFFY9cEbDx2D70WckHE8coxkn4M7PfYOb7G3u0tiDTrPyU/75Ok52qcIA5SK0LZDWnjSrKCrLDbS7O0f4kSxc3BIRwTnYVSGMJOFsfTuHrC/u4sH+nmf0aBP7nLs7g5ePCNXYjuG27s7JJ0eXu1QlCW4kh2tyIsRo8Fp8IU+PyY2ig/Gh0SFx49GlKJQOwkSd4h3Dyh6O6QK3M4Qi8JkHskK+ien5GWK6RpK7emnA2wUkRaO42FK1Dvg8IV77B0c0dvpgXcoASUaJYIhzIwTCcGJSiV4FdQ4CqbW9Wr0/8b3YjKebLdIvI2yFpHS/PC7lnCbw/1ZnW57ObO4biK8LjRdyq470M9ahCsilkC2f8t7/3cBvPdvN47/L8Bnqt3XgZcbpz+o0pZdAQkrTdW7YcJX9XbHe0R5PI6yHDEYnjEc9jk5OeW99x5zetInzxy3b9/jlQ98iLt3vw2tw8KPvlofzFd9zUvJ6elDXnvt6/QHJ/zk//sZXv/mN3hw/wGxtZR5QSIFxeiUfOCRQujaXURbCsmwcYmPPZG3RKaDMxEuTvBJQiaCTWKsEZQ4bK8TCFlKrNboNIezPkiJ9yWlhNeHiJB0u+hOgkmSMOXTWnpl8N0s8wzl6yV2PGgwvYiyqxnonLM8p0x2Odx9hYODfSKrsOIwLuf85D0Gx4/YiS2UBVp5HCVaK3zhsVGHTncHbWM6O3uUeYb4HGUsDkFKR3wQhuHihLwI8X6JDtjpHFVDtaD/NFqqqaslufc4E6GUwkCY/XU24tHpKfnonN1ul8NOhxcfC1mRMRSD34lIbUQmJoTXHOaUDlScUaYFup8T555umlP4EkdB2YGOUQy8prSavb1b7N1+kd2DW1gTYZRGuQJTB5PBo0P8mEBsSlcqFYVDIb5gLMjOENSsBFtvt6sUmMrT9r0I0+TqxvFmxw5itfAwp8vdAqbvr9ZBBVUbKK9LtVFjHS8FAX4Y+Kr3/q800u9V+l2Afxv4crX9aeD/EJG/QjCafQT43PKreCCtpFePVI7c+LDvfE5ZjBilQ87Pznj06CGPHj3i7LxPkZfs7e3zygcf8NK9j9Hp7KFE430wbniKSpLxeO84ffweb735OucnZ/zE3/00b772Ji+9+BIHnR7FYIAtHNIX8mPIRg5lI7xReIEo6RF1I9Dg6CC9fbqdbghEYjReQEkSDEgSJjcggvOafDRikPax2pO7EFgFEXSp0Mqg4w4utoxciZNgADQ6BO0WKTCRwxlNEUXITgffSRg5xzDL6cQHHO4eYJIOVgluBINhRqwcj955SGxGiB7hpUDLTiCiqIO1mscn5xT9M5xJcc7j8KRFTl706e7sknS6ISawl0oa1xhj6agIYw3WGow1FC4PXiV5hugwQcCrQMBlltE/fsTZo3fpuJKXju7QsZoyzRhEET5JsJFFJRFEwd0rONxpfFkSOUXqHCkFpRbYifESk+NxWqEiw/5+j7jTpdPbwdg4LEtOcPdSRiFewvLnEF4kTV2ohBXrREqoiU2mZUeZIruGf21DzVATYNuz3EbelYYgqAS8H/f3WlEQivRIFS50PDPNqcmcAaGya7Q9V9JQfyi8n5esLzwJoilcM01gbUbBC+uIWyTQZoCfen8a0/e8eVxEYW00NeqY5NlAoxlBV/vHgC+JyBertD8H/FER+Tih1q8C/zGA9/4rIvK3gV8lWLb+5FIPBQAc3gf/WXx4o5euoCjS4FqUpjw6ecTx8Qmnp6cM+kOKomR3d4+XH9zn3r17HOwfoeUIpXSlOggd2UnoxGWZ8e577/Lua9/i8eNHfPrTP8Fbb7zJ/RdfYq+T4AZDdFFSjkYU/RLlIox2oDViNCYJ03OpfsDo6BaYiKIsyEYD8vMcJWECh5ZGnFMPuBKcJ/ISovYZg0KwxmC6HSRO0ImlNCC+wGihGKWQZRgRbJLgVYGLI/xuj9xa+oVjmDt63SN6SY/MZVCMEKVwGYjzlGVBHMXcOurS64Q1wrRPgiJbNIgBtcvp2SkeFQKvi8LYCGtjukkHrQ1p5UkRxTE2ijHGEpugFy9dQV6MKMoCxBNZM37BubyAsiTrn2GKjBcPDugohcWHe2INEndDVC4lYdHMrEArhSMnTfs4V5KVI8rSUUYKqVZwcEoTRQlxt0ecJOgqulft61obm8Z8qBjPCgtE1xjiV30lJOupntmqLhBpECwNEm7sN85vg/ce1JjGEalIt1IhyJh4fbUkTwho40XTrk6ot6XBKzPL68y0axkWRSFb59xng1XS/HIddfMbamK/+nas46Xwj2mv2U8uOecvAn9x3UqURcnx8WOcCwHIyzInzUacnZ1yenpCnuc8Oj5mNEpRyrC3d8D9+3e4/9K3cfvWHaIombzVwoR+fCUn4QtGowHf+NbXATg7Pebvf/rHefett/i2l+6RGI0fjTA+SNbpcEjaP0dXxKOjGJt0sZ0OykaIMtg4xiQdzkdDhoMBWhSRtRgd4gkYpYmsDS5ceUZercRqqrWkTGTQIiRJgut0glO+y9AFWCX4UU4HFVZtKEswoHt7kMT0veNsMKJUhltHd9BiMGLpJB2yYkSZDYm0oduNgmHPHmB1WcWrLVA2rMpQlp4sT3HKc3g3+CZ7hCju4Ymr0ItCWZYkSYKNAtlqHQi1LFyI6VDm+LIk1gpdrd9VFmE2HXhK70iiCBPHGA/KhVWMNcGFrCxDSM68LBgOhhR5Rukc3vsqRKLh3MaAINqgbISNO5g4QUdx+I2UDksILdCT1t9qlhhbIDNdva2cWaNZax7aH/SpsuuRXB00SfyYVmqyXUUJdXxaaRj6Jq5jVWWnvre4Tly/nwTQH/T5whd+ibIsKYo8RMNyJcPhkDxPiaJg5Ll9+0Xu3H6Be/fus79/RBx1kXEMW0ACqVRerBRlzvHjh3zrtW+Cd5ycnvAP/v5PcPr4Id9+/x5GBO1K8FCmOaPzc4zzdPb3MTYCUXgdYZIEry1RZ4ek10O0ITPCTmLZPzxAeYGyxHghsRE4TzoakQ6HqNIT6XpdLDte9hqBUhSp5JBE7NgEnTsYZdg4xpUOpzzKxhBH5FroZxnD0hF1dunu7mOURbwK/lKFI8FgOoY41nifk2UjSpeRZo6d3h6drkWZPEgvpceaMOmidJ44TojjBOcUaRokwsgYkjhBdL2IocK5gtI5nC8BT2Q1NrH4oiBPU7qdBG/ChAK8ocAjRlMWJRoJqhTvKfKCNM9wZYGUitKVlATpv0jD+m3JTg8xmtyGdcSMtRhTk76upuHWgWVqobM97qvUKp4WD4RpyBzpNvOup79tJ/4ak2F4TYP1iKyOMVaTrTAtxU7XhUoV4ZtltOp1t2S7KdgIws3zjDfffB1RMpZskiSh1+vR6dzm1q0j9g/ucnBwRK+7i7UJwY5XDa9c5RfJEE+J957++Slvv/0W3/zmq+z2unzrW9/kH/2jX8CNRty/e5fEWMo0RZWeIitQpSPREUpbtLaoauqo1wYTd1Bxl2Rnl9xBnjuC/KcQV0DpMB6cF4pRhniP8hAZCyboaqNOQpzEFM6BCNoGohMKRCuMc0HK1grnPdKNITZkVkhLR5aVSJSw2+2hbUxRevLcEZuIJImJFGiXUZQDRqNTnEsx1nB0+xZKOli7izYKr4ZhUcsy6CtVNTRXosmLSi0QC9pULlTNEIQCYEBA2xAzVuPxecHj996jTEd0d3eIrME7h9qJwQtl6QKDV3rEonSQ5bg0pRye4QGlYjoq+BXv4EEUxlbTbG0cvgk6OSHoZGtqEgSUn9MhLvIeWD5Mnifc2XJqA+xF3b3m3a8angjMkG2lVvDeTybpTJ3px6dP6DqoHabrUNXdPxnpPisjU62Xvay6rB8w53qxEYQbRZYHL79EFEVYa4njmF5vp/r0SJIOunJapzLgTL35qym6pcsoy4xHjx7yxuvf4q033yIyms9/9kt86Uu/wtHRIXsHR5RpBnmJLqEc5WGRRyeoKgaA2IjCeWwU4UShogSTdHCiQAlJnKA7mtIXaFFQlOSDEQrBVAYz01ggUHRYRtsDJrIU3lHg0bGl5w0UBRQuGJ6tJep1KBPLUDnOfY4mZnevi7URHiEvHR1r6EQJsYkD+WQZD995By8pB0c9bNIlimKs3UHrXVwRU3iHmF16OwalNZrg25llOVmWYY0PS+NoRxSFpY6SOB7roycBXMArX0WsClb/F2/fCisKa4V3QQefqxLnPKWH0kHhPGUJYckHh3UlvWKvGtEE9QMEbvBMHqJOaaEmGA9SazVrqxOQq7DKQ/PBm45XMGMoa0EgpsZ2A1PScsiwWFUwQ6yzkvaknBK8r1zWJn4ISgnUSxe5EhGDVnqiypBgjPTeAS7ogiW0t56UUVVxIvFWbZuVuBetNba4bZdlarpe96zrwkYQbpIkfOxj34ExFmst1sZEUYxSpuo7imYot9AZHN6n1ZBSKIqcs/5DHj96j1d/8+v40hEbzS999nO88drrvPLyt4dOO8wQJxRZSTkK7kbeeZSOg9uVtWBiIm2J4gQTWWwco4wFrUBUMOBIidFhNpz2Qm4slL5ebYawZFU1pZPKuUeg9A6lQ7wHD0jpw1TTnsUmYaJEpqHUCq0cO5GhqyJiF1YgMMZijUWpavZVXlLkOToxvPjgPlGi6e1EaCuUJTinERJUJ0Fpi2iFVkFq1SI4V6JEYY3BGgvicJLT7XaDO414nHOIr9cxhuA5Ah6HrwyCZZ4jLqxLVxYFlJpShdGGuCp8Y/WtnEc7hziHOAkE7R3KB5Jx3uMqyU48WKeq57OW5SoZtJYCgWIJ+U1IZPGijJN800Fl2vL4GR3udL9kbn8hiXkfvCNqjwRAcMGjojIs1sGMJpLrZEJQrav1IgTP4kpG9pWuoh4F1KqLJdLe+tON15MYL9PY9rRS6iZJuRtBuFpr9vZ3AxFoExzUqzB5E2tivbRjMIRVdnDSNKPfP+e9997l3ffeZtDvE9uIt956my/80ueJtOE7PvwRcJ4sS3FpCZnD5x7lFMZ2MTZCrEbZ4N4ldodOdyfEABAfpK8yR8oSYwSbWIxNgt6xKChLh4hCaSpPBRUk30oakAbxnp6dMjg75eDoiP29vcowZ3EiFCKkSsAYulHCrjFhyG8Mtloa3bmSonBBJ6xNWCW41yOOLKpyq/OeMOXXWERCGQoTXKWMGi/wqKphnRZVDRKCW1ipBfFhSRhXFkRGVW5LJd65yr1IVUvFUOlzFU4C+TltECWoMoxEwhA5fJS46h4FrwElEV4C4TrnKHCVxOvGpGu0qdpVSbASekL9P/SQ8DcbN7VNspzF9LEZ9UHbVNgZlcIyne0yiVGJhHteFhTVSy2yOrivVdK+1sHIWY8ufP3bEVwVRXlqVQ1j2h7flMb25pDO+xkbQbhUPrLOg/gQgCboF+tgHY2czpHlQ0ajAadnx5yeHnNyesxwMCCKOiRRzJe/9CW+8fVXuX10i73eLq5wlHlGPsxRucOIIYoMthPUF2IMTiu81WA0Jt4n6eyQ5ym+LDDiiOwOShxlmaMlUBsotLboqLGiqwhaquVTqpFcWHYmDPW6vS5KKfb297DWkhpNbg2FAm0tvSiEDIzFkjhNV1lUYvCRYI0lskHtorVGWxOWWgecd4HkRCNYFLp6Zj0iDvElzodFH0UIFnLvwHkURXhUPThRlN4EvaootDGIC0NXTzVsJ6gG6iDYQpD8g2+IxysFXjBFICznHdo5Sh88rWtX/olZKKgdnBdKUWFfBcOp8x6MqnL5qq1lOF98lQ5SzEuvKyXMRr5FhLtwqL2AdNeRfBtXZmz4cg68oyg8RqvxMj++XupHTSRc733V9nD/faWLn0jwTbaVyXW2uHZsBOF6H9yMnAiuLFDKYIyvpCmP9wVZespw2Kff73N6esrZ+SnOlYyGQ5JOwq2DXd5++5TP/tPPUmYFH3zwAWJtcGlBlmaUo5yO0xAZrI2CL20cYaMIrwQVW8QGtYGoGBsldIiD7rLSsTlXkmcpzjuiymVJ1etf6UlIv3rIjjEobTDGYK3FGBNUEDpMGLDWhlUWrEF0LdlIcCtThkg0xiucrnSm1cPvq4UbfVDKjbedryenVhK51A80hHW1Kql2oqgEBd6HddJ89fAb7wIJ+OC7WxtovCeQ7ti/UxClQgBxMYhTlE7hqnOUUTjnQSp2di4Ei2lIq0650B4n4DyaMKLAO0RplA9kPF7Z2fvKYOYnn2B1G9dzovqYJcdZUp5Iq828YUQ+fawWEut7HspbFVZxRR5fIL4M0r9ReB/a4ERPVv1VFqcsgsKjpusrdb1U436MC5+0qR4DLKlqm2fHRQxmsyqJWSNWc7QwybvMA2O67LZyaihF6DPjPNBUfTS9Qq4bG0G4aZry9VdfJap0t855iqIMBp00J01H5OkpZVFUzu0W8R6rLLa3y3Aw4p/+8ud4481HHOwf8sKDO+SjES4vKbISg6HTjYmMwZsIZQ3aGExkMXGMGEXu3DgsTljaJwrTXytiUEqjtUJrE6KZRRHGWiJrsZWxL4qiMQFrrcO0Xj1xyFdKzVnQV1lXJzNGJg77tW9+s/+Ip1o5F8Dh1XS5QQXqG9b9SUestKXhGfZhQvTYNi5SES2Eoaur9qvZTXX9K2lXNVQ/YWaXG9cp1DNcJEh0HieCVx7vZGwo8uID67nqHFdZ6GvyF6YeXi/gtFRvhCWSXIsOdyGZSIMOGqP0endWXdG8nyvLro9XOlxEcBJGd16CvzG6WopHLGGSikxR6KwXRri+m0mbJqpleukmntYzYdl5k9+tnQBXxYBYrGtuntd8uTSNl0sqfUXYCMItioJ3336L2nnbV65E3lPFxo3Z3d0liWJK50lHGc4Jw2HK1379N/jN33yVW0e3+NhHfytaabJRio27qAj29g6JTCBGozRem+C/WZNmHFG4ECowimOiJMaoQJK2msygtCaO4sqgF1QHtCyZ7byrJKNqqCwaP0NuzVVerzuQxiJM1WpKWmh0dgnGrrG0F8SMagqqjHm23pfaV7pSZShUraQIRjmZrIJQv+Qmw/nJg+acG1dtOiCJzOy3YInRrDX7GiqIJtnWdWu2ZRmUUoj3ldEr9Jsw6y54kYQ+JVMS9fOKpqBR/6aXWXaNTb9HG0G4SRLzWz7yIcoyDJdrg3RZevK8oCwLstLx3qNTut0eZ/2M3/ja13n48ISd3i7f9Tt+N9ZGKJHwrSSQbBSRxHGYQmssWils3EEbC0pCWmQovQ8qgcp1K9Ia3Yz2X3cSqIjGzT0E4ZFvkCmEtsw8+4ukiU1BpT5vDFCbQ7+ggqhE37DtGtKQqOCNQCUBzRVnFAAAGxJJREFUVzr5IFOHJYQCMQHiUWMf0+raDZJtfsRPCG1WmvR+UsJY2G4YziaQVsKdzddmcJtFmyGurl8YDak5wm0vaxIQoe5nosx4XbWQriq1wc0i3enx2eT4LFa3d/633uRnbCMIN0tTXv36N6q9MIR1Zei4SdIhjhOyApwYfv03vslwmHH3xW/j4594mW53B2Mi4rhDZCaO+k48SZxMHmipO69CKT3WeSLNCLsAfrz0TlmTSTXsG0cu02pCQ43fsrag147zSoJHwKxPZqjO8o70JJ3kaR7FKR1bsx7jgqV1TFZ7X4zHiNWzNNW+mX2lgp4XkXEAcGBMqGP9bi0xMj9snyLcmmhlmrRbWjn5HRv1b6IppbZ9z7a9/tZaB88K5xZKt3NleFXFU6jaJiFyghD0uWMvl6ck2yfRydb55/M2FRurz192vXX7+Gw58wTb3N7sF9JGEG6w9ocQakbboMf1Ya2z4XDEm2++jjcJR7fv8F2/43s52D8ijrsoFab1UgX3GMtlUntnVvpCmiSixlpFr2rzihrrBkEovZvyW5zo8uofvNqty2kq+xr90XkfBMIlBoRNwLQlviKySneLr31uK91ple7cRAoef6rhsZcqvqwLXglUqymMdazViwlfGcuYDMPnyFAEVY16ZlUOk+2Qv64Dbd+hxKn2tqGNLNclPOccZVmOVxZom/HWRO2BGwIu1VHKFPPeucuxnvfFajQJbZHxzK/PtyuwXkGrXxJ+Sh9cv7Q3lXg3gnBDFKQOeekQFVE4S1l6TNzhwZ2X+Y6P9rCVJKuUroigHiIGkmg8ptVMpYnUMI9mbmqT0byVZFmdG8/rXO4ZQl7Hkj0+9QqJuFViaEqszEu7sy+fcUr9/PjGMSXjhTBlphypIqlJNeV0LPU2UBOwq6JqzfrYTqkgmM7T1BdOSHc6JmrzHozrtmRYu+x3FBGsta0LTy46X1BjVcy4L49nik369qLrLdtfhSchJL/I0vWMrndZWOX5cJXYCMK1UcKHPvxbw3RTHfStSulqAkRwLXIS3voeR+0FU7nZj8vx6LGQCY2H3E+2x+TKNAnMEsKqjiVMk+5Nw5z0yuS+Tk/Lr8m1ylDpdUUkDJl9CCTkG4UE99lwTDX0s/XyJ019aFDjVNedk2wb2w3j5GLPj3kJeR3Mkuaic40xC5c/b/cGUFW9Gz60DeKdvLvaXxCbKsVtsRgbQbhKG3b2byPVelVhaKXDHPwidKyyetsrpRANwUc0B1ylNph2ppfqORU/VivSlITbyLiGE9Xs462QlvPeT2hKx21uO830pvQ662kgDTVCk8hq6bYm3Fnd7JRRrRqOt+WZIkhRrXlmMSsBL/JKaLsnzTYvOjZJDHWqjUih56rJKKOh4mm7VvN7i+cDG0G4ABPn+yCievFhdg0EPV4lIoXAKIFkxx20QaNjE0RjWN+QCWhbcG+WhGVNPdU6MtI6j8NlDG+a1vpltZnLMz5vRl8NY9VMtRAQVK+1IOIGP1oRFbw26l+jminmZ6zHtXO+r86pp67WpKJU+P3xE6+E8aeqZ22lrI2X9cf7oMWvesjknjdGQhPD2jwxN+8hVOqOYP2cMtiN71+rjjAMt5VWlZ5T6lNqzXFVbvOM0H99s7xq9pzIfNSyuo6zL7RZLFM3rKPfXHrcVxNvxvdn3MDGiG9e9dDmNfKs3hWbZB+ZxcYQbj3eVKp+c3uabv9q0ueh8mQY/9J+0qlXU1yLlNGowdpYi0kvUuAVYUYaHZPtTHuCAaoaE4xJtMqLDwOLGbINPFNvhZlqgRzc/O2q9UJB8Yp3IdxlM61mSakrQyO9JltXL0ujEanb1NDzVrTmCRMkmCHbWeJdFJhm/jZOH3Ou9hcO06yVzOty50hIGmU1h1zURF+PBNZnpllCvagkvFY+58dkW//c06OcUOXlZW3iw/HssUGEu8XzhFkpq03yapPEZlUKzfRZI1e972bKap4/nr3HGvpZmS6nLW8ddOii92J2Qssiw1kTqlYlNNq+LP/sNbfqhOcPW8Ld4onQ5jJUY5ZwZvMs80holj8+b+baTb/d2i0s+K4u0eEu4aYmCYuaqF3WHZrWbZ3VVTePNdMaLVlKtstUBtepw539bbfEvz7WWbU3AX4BiKv8P+a9//Mi8grwo8At4AvAH/PeZyISA38T+B3AQ+Df9d6/+jSVvGqdzDLXoGV55s5hMhJeVtazwEJL/YLjy1ylmulj8vLzedt8NxeVN0s0yzA7eWScXhFcGNZOR/aazV9r71dpumu7waJyVtZ1yaSHRfdhUf6L5FmGdfIte4GuU86ca+Eaz9DlofbFfbLyr5Jf1plcngLf573/7cDHge8Xke8F/hLwQ977DwOPgR+o8v8A8LhK/6Eq31IsIoHnHTehObOS1CJjzrLz2yz9s/6qs/lh2hC4upzl1w778+U0pdNFkx5mP21eDOP6XsjdbDqofpv+dRGJzKpeVt3LxXW4fPXFTXuOLxMrCdcHnFe7tvp44PuAH6vSfwT4Q9X2H6z2qY7/67Idc2wM2h7Ki54ze2zR8HbZsHoZQVz00zRQNQl02f4s0TaDEDXTF50zW+ai7WUfWl4AT/qbLCLddY8vO2fVb7RJ2MQ6NbGWDlfCOjZfAD4M/DXgN4Bj731RZXkNuF9t3we+BeC9L0TkhKB2eO8S673FNaMp1bVtN7HIuFaXs+j8iV5Xxh4QrdKTMIlOtijPOONyVcE6j+pFSav+nj9v8WhhHfLdZGLZoh1rEa73vgQ+LiIHwI8DH33aC4vIJ4FPAjx4+cHTFrfFNWAV6a6zXZfTNLSJzEyOEDWln6nzTxvFGorllnJr3bOw2CUM5gm3NU+jHct0nnX6wmOXQLZb0n2+cCEvBe/9sYj8PPC7gAMRMZWU+wB4vcr2OvAy8JqIGGCfYDybLetTwKcAPvGJj/tG+pO0Y2Mx7+49Y7i5xOauc+9c7b/adv6koNZzmwRWGyqCL2nTE6BeAqY6Vs9XGBNiRVZMJFeqJYnGAYfwVRj/xiSApZJrVb7AmHvHbakT66ZNk+3ckHn2nrTlaTm3XXplXJlGzqmLrCLd9rLXO95MX9SO2e1VXgeLXj5Phot1/ulrt+vtr9ZYd3Gs1OGKyJ1KskVEOsDvA74K/Dzwh6tsfwL4iWr709U+1fGf82swwY10L5H5z3gJ8MbnMrAO2dYS2WzORfWYfSBr/SRSRQSr21K1yzW26zLr1YpRk3NQMi4DUYFclUKUDkvl1MFc6vSZYfmcrlSpcZlSfVOlS1gfKeSZadc6+shFeWbrMH+eQiSspCvjVaerGLeoau251WS76PhFdLazv6Nquaezx1aRbhvxXlyvO/sktH9CcbPpbnys7eVyUQPmVWEdCfce8COVHlcBf9t7/xkR+VXgR0Xkvwf+GfDDVf4fBv53Efka8Aj4I8+g3ls8B1gkhc1KyU3pqs7b9kA31QNTUuaKl/UiabYNqg7V2cCqB3cd1UQzb5PgVkmMN04IeZ9jJeF6738F+ERL+m8C39OSPgL+nUup3RY3Cm2kG/iyPQBOE3MkO1sOMkfGbeUtyjOuY0Pt8VRtXTDNvK0ebccX7S+83paYL4R1/M6fBbYzzbZYipW60xXntpUzkWih6TUwS6TN82bzTG0zCV7TxJOoqWYNdOug/TpP5oGwbtrs8csgjasmocvQt64yWi66znVhYwhXRMbLk2zSDXq/YKrDLhjOT+/PqwLayltF2G0kW6e3ndv6gPl6Icb5sheR9SIpV8E4olidt+1hXk1OcmEF/ZOQ7ZOW/TTl3gRpenYEdFXYGMLdJLQNZ2/yS2CObBdIms20WYl12TB91bWfxJVsPq2dXGexsszqHiwrZy3JOTgOL8/DekT4JAR3GeUsM8hdJ9aR+J+2jGeFLeGuiU13N7luLCKo5dLteOvCpNtOrqsjmM2WM1enNfKsh3Yd7lyuSyLcrbHt+cA6sRS22GItLNNNLjlrznK/anv+WjJXzqL6zJY5X5vVOtG12neF0u2WbJ8fbJyE+/RD93XOb9cbXjYWFT37PKzhQXsJtWkp9QJtr4faU/vNSQwi43kNodzmRIbJRIdmpLHpsma2W1QWNPS04ykS1aQGaVRvkYQ77TYPk6UnZ6690vl/DVLzslLAXXfIfllD5FrLESabVOc10hulXUgFLRfIu7yceVvBuljmXjfxiGmPqXyV2BjCvZyJDxcj24vgyeu2wKAy3lz9w6/Li89ErqnbPTdhYnYViAapjo/IdJ6aFaXK3TBM+Tkyn7k+9bkytz1Ltov8ecfvBKlWDJn1APOe5uoFrTrp8fEVL+01f4yrkkZ9EN2nXzoi43vom2kwn69Z1mzZzAsRl/WSuKz7470nz3OKoqDT6eC9XxhK81liq1LY4pli1fC8Lc8qVUB7ntVRy1iiomg7rzVNxv+WnrcOrpKUFrmovR8gMgkOXwetvw6yhQ2ScLe4WVhk6FqVp4lVHgXT6Yu9FMb7stqTYT3yvBzyukrCDQtVrlWtG4e63yVJMt6/nBH1xfHcEu4i/ePsgzZztD5yRfVp/0HnhrlzPq43xwVtnfaIzLuVtRHmojwT7cKKclquNfsymBs+zz6YYzVEC6E/Aa6MdCuVwvsRTf1tM+06sDGEezVvnLGm6hlf52JYJgVuOmaH+bMO5bP62TbinC2vTRJe/VKaSHALfXZZ/aqth5oLpSBhvML7TcZFnsWLPrcXNYZdBi80++F1enFsBuE+gcL9pqC2eF/HEGfREP1Jz1/04lg2zJ+XVtcj4+ltaEq3C+tUWdfapNuLSEBzVL+h/XVWul+V50nKvWg56+jznxU24XfaDMJ9H8M5h7WGNE3H0tU6hqbnBYvIbXa7iWXkvOjcthdXq75Wlk+gWFW30KanuSMXx03pC1tsvRSuHSJClmW88cYbPH78+Lqrc6lY5G1Qfy+SlGbPq9MWlVN7KCzPA801xBblaStnvo5rNP6SsCXbm4XNkHBr18x6t9K3NQ6vCZnxWV1Ha/dkmCtV2vxlV1/beYcxht3dXeI4vtw6zWGd+7E4T9tQf5nxcplk2qZKWHZ+M322HJm5963XkknLggZC6tkcjAuYIbd26bs+1trsZ4JVpOvnfKQbzXuKchdf78nLqUci1d4TXf+J4Mf/uE4bzmYQLpMFA/1T9+jZ857NzW3O1oGqE7Zeanmnqtt9eHi4JJcsKnw6y0r4SpG5Ik9LnZsSYHPCQmtVVhjGZstc14theZ52IhgTe63jHe9NJmrUBDyZpLG8brXOuMZlGzovSoRh5YyZtDXLvagHhJ/t+NT7q3Wzk35Tl7m4n102FNfzsmyrxxZbbDxWqgtaYinM5l2V3jY5YC7PDNkuK/+qsFU6PD/YGAl3iy0WYZkXR9vEh8V51rjWehVaq6zLQpvnxXSGqyP9thfOFutjS7hbPBdoU1Ms81JY5G7WxJynw0wwm9Y8fp50LtNXdBazUntrnsC4Fy77yXBzPGiuAxtDuHX0nuuacrcMbZ310rR2C2xUm+CkvQ5WSl9Mk96ytHXOq9OnJ1isPncVaa2DyXkb9pvM6m+X6NY3B1dtMGtJXmGLeBZYSbgikgC/AMRV/h/z3v95EfkbwL8KnFRZ/33v/Rcl/Kp/FfgDwKBK/+WLVGoTSXddXLTeMm8cf4YdYHo+/dNeZ5HEuGgCQZt/bTPfRchxOn/TILIekS+SFGft/Yu8K9ryXBRtL5J1MHff1zznWT5TFzW+wQXUPJcxerikcp4W60i4KfB93vtzEbHAPxaRf1Ad+y+89z82k//3Ax+pPr8T+OvV9xZbtGKZV8Nyb4H62LyXwnp63xbSayHduTo+wXplbVjP+2LeQNcq8V+w3C2uB+ssk+6B82rXVp9lv+YfBP5mdd4visiBiNzz3r/51LXd4sZhkb9uE6vTPd63R8NaVPbiUVS7f9+qOj4rrHWtK5Vcr19KfJ6xlluYiGgR+SLwDvDT3vvPVof+ooj8ioj8kIjUXvv3gW81Tn+tSpst85Mi8nkR+fx7Dx/OHhx7g27qe7qt2wkwVfF1PjN41pLJ1KVlZXXmzvEL0mqpcFzGlDFquV9o87v5aearPRGanzaXsOa5s9szF5+7JtVntqy5MhlnXfFZXNaiNrfeg2azabn4gnu76H5eFPNlTP/ychkdf8m1V2PdHjr9B8x9P2usRbje+9J7/3HgAfA9IvJbgR8EPgr8K8AR8F9d5MLe+09577/be//dt27dapDA8/EGFcLNa37mKWH15zqx1Ie9+viWirbNnZh6jOpzlIRPnb/ebnzWe6AW3eGQLqIWkkoz3eFxzUer5QdZVJ9pYp4978kJZRVcy+fZXW2CdUl6QrarMCHnJe+JuTo8GVaTrav+PB4v/soexgt5KXjvj0Xk54Hv997/5So5FZH/DfjPq/3XgZcbpz2o0p5bXIey/Zlcc7bIhUb3RsLYGjVzXltZ47TG2mPN84PlYq7sVYaudYxoi85pzS9zG5MqrlBf1FOJZwuck5AuiQVFZoq6QLdY1ofWuY/tL7BFeReX87SGxuV517jRbae3a46eOVZKuCJyR0QOqu0O8PuAfyEi96o0Af4Q8OXqlE8Df1wCvhc42epvt2hH+9B6Ltcaeda41Mrh+2WoAC7906IuuUh9F96OS1Q5bLE+1pFw7wE/IiKaQNB/23v/GRH5ORG5Q3hPfBH4T6r8P0lwCfsawS3sP7j8am9xI1BJvRPJcbF1fZ08qy4m9TUX4ElnqrUfvxyl0eygYK1zLnB/Zuu99W54tljHS+FXgE+0pH/fgvwe+JNPUpnn2f/2/Y5FQ/hVD3Cbi1Mbqc46qddBf9YpEyYajYtiWf1vIjk9i+ev+Xs+7TPefs+Xqywu2gefJTZjptkN7LhPinYJ6xoq8oRYJaU2sd4sM5h9oJrD+7byWu/hGnS7SnqefYib+efrsvJyV4511Ayr0i+qQ7/IOU+GDbzRS7CNFrbFc4Al7l0XKmWNPDPlryKhVXrni1yrPc/KLFs8R9gMCXcGz8dc8C2eFkGn2q4zHeepFK9Pp7+triarSfeiQ97F+S+pr65RzJNOEX4SbJ/Bp8NGEu4irNexrnKI8X7ofG3az0Ua0YtqSudJcNkU31mXrEmW1T4+E0+w1cavZf3sIuS2ipzWIfdFqpB1huzPalj/pCoG7xeshLwSs9dYfc2Ltveq9LgbRbiLDCbr46aS7VUTe5vFvY10Z1ETX33MLXy41o0hEPK1ufgLUk04WBW4Zpy+9Irr1WsT8XTPzLPHot9lPTzbdtUvgavCRhHuFu2oh9U1nm0HWT07oo1DQ51kfHyxMWk10c5GEQvnzV1xrj5N4m2NPHYJD+/Csp+RBLmu9e1Jh/pXqSJYVz8+QZv3QWvJ02etec+u4yW1JdwtbiRaDVkz+5cVavFZ+uE+qfHtqvS6Fyl3O8FiS7hb3GDMSrezqznArIFuNRmsr4O8OOG2S1zrxTC+Tp3uOmXX923T1R/PGhtBuPXtfxaK7nUfoqvEVTwcT9qmZ3kv5speYWNr6v5W6mdn9LgXqsclYL7MNnp/eqw7weSqie1ZTBBp88F+snI2h+A3gnAhdJB6mZ2bjnU6wHSemzcMk6DoXXyswqoJBiFPfR5T582UWvH7+h4IV412NUi75nkdQr3IJJRniU26x224ynuxGRMfrthSOH3pzesAW2yxxc3ERki4nmlJ5lm9ca6bXC9L/7bF5mHu99m+x7dowUYQ7uzQchvEZovnCc97/Istrg5y3VIfgIicAb923fV4xrgNvHfdlXjGuOltvOntg/d3G7/de3/nWV54MyRc+DXv/XdfdyWeJUTk89s2Pt+46e2DbRufNTbDaLbFFlts8T7AlnC32GKLLa4Im0K4n7ruClwBtm18/nHT2wfbNj5TbITRbIstttji/YBNkXC32GKLLW48toS7xRZbbHFFuHbCFZHvF5FfE5Gvicifve76PClE5H8VkXdE5MuNtCMR+WkR+fXq+7BKFxH5n6o2/4qIfNf11Xw9iMjLIvLzIvKrIvIVEflTVfpNamMiIp8TkX9etfG/q9JfEZHPVm35v0QkqtLjav9r1fEPXGf914WIaBH5ZyLymWr/prXvVRH5koh8UUQ+X6VtRD+9VsIVEQ38NeD3A98J/FER+c7rrNNT4G8A3z+T9meBn/XefwT42WofQns/Un0+Cfz1K6rj06AA/oz3/juB7wX+ZPVb3aQ2psD3ee9/O/Bx4PtF5HuBvwT8kPf+w8Bj4Aeq/D8APK7Sf6jK9zzgTwFfbezftPYB/Gve+483/G03o5/WS0xcxwf4XcA/bOz/IPCD11mnp2zPB4AvN/Z/DbhXbd8jTPAA+J+BP9qW73n5AD8B/L6b2kagC/wy8DsJs5JMlT7us8A/BH5XtW2qfHLddV/RrgcEwvk+4DOEUHQ3pn1VXV8Fbs+kbUQ/vW6Vwn3gW43916q0m4IXvPdvVttvAS9U2891u6uh5SeAz3LD2lgNt78IvAP8NPAbwLH3vqiyNNsxbmN1/AS4dbU1vjD+R+C/BOpYqLe4We2DEDrop0TkCyLyySptI/rppkztvfHw3nsJqx4+1xCRHeDvAH/ae386E+nsuW+j974EPi4iB8CPAx+95ipdGkTk3wTe8d5/QUR+73XX5xni93jvXxeRu8BPi8i/aB68zn563RLu68DLjf0HVdpNwdsicg+g+n6nSn8u2y0ilkC2f8t7/3er5BvVxhre+2Pg5wlD7AMRqYWTZjvGbayO7wMPr7iqF8HvBv4tEXkV+FGCWuGvcnPaB4D3/vXq+x3CS/N72JB+et2E+0vARyoraQT8EeDT11yny8SngT9Rbf8Jgt6zTv/jlYX0e4GTxnBnIyFBlP1h4Kve+7/SOHST2ninkmwRkQ5BR/1VAvH+4SrbbBvrtv9h4Od8pQjcRHjvf9B7/8B7/wHCs/Zz3vt/jxvSPgAR6YnIbr0N/BvAl9mUfroBCu4/APx/BF3Zf33d9XmKdvyfwJtATtAD/QBB3/WzwK8DPwMcVXmF4J3xG8CXgO++7vqv0b7fQ9CN/QrwxerzB25YG38b8M+qNn4Z+G+q9A8CnwO+BvzfQFylJ9X+16rjH7zuNlygrb8X+MxNa1/Vln9efb5Sc8qm9NPt1N4ttthiiyvCdasUtthiiy3eN9gS7hZbbLHFFWFLuFtsscUWV4Qt4W6xxRZbXBG2hLvFFltscUXYEu4WW2yxxRVhS7hbbLHFFleE/x+nr5pzT5Qe7wAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zIT1pAC9T5Dv",
        "outputId": "75d08ece-97c5-4193-8e40-ac8254e3f750"
      },
      "source": [
        "img_height, img_width = 224,224\n",
        "conv_base = tf.keras.applications.MobileNetV2(weights='imagenet', include_top=False, pooling='max', input_shape = (img_width, img_height, 3),classes=1000,\n",
        "    classifier_activation=\"softmax\",)\n"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/mobilenet_v2_weights_tf_dim_ordering_tf_kernels_1.0_224_no_top.h5\n",
            "9412608/9406464 [==============================] - 0s 0us/step\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xhFbB5Y2T9MI"
      },
      "source": [
        "for layer in conv_base.layers:\n",
        "    print(layer, layer.trainable)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5zkt-L88T_gw",
        "outputId": "acc60ffc-41dd-4a4e-dba9-01408c22cd77"
      },
      "source": [
        "model = models.Sequential()\n",
        "model.add(conv_base)\n",
        "model.add(layers.Dense(nb_categories, activation='softmax'))\n",
        "model.summary()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "mobilenetv2_1.00_224 (Functi (None, 1280)              2257984   \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 7)                 8967      \n",
            "=================================================================\n",
            "Total params: 2,266,951\n",
            "Trainable params: 2,232,839\n",
            "Non-trainable params: 34,112\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OBJO0f5pUBjP",
        "outputId": "d51937ec-ad55-4ff9-ee33-027c5934ead1"
      },
      "source": [
        "#Number of images to load at each iteration\n",
        "batch_size = 64\n",
        "# only rescaling\n",
        "train_datagen =  ImageDataGenerator(\n",
        "    rescale=1./255\n",
        ")\n",
        "test_datagen =  ImageDataGenerator(\n",
        "    rescale=1./255\n",
        ")\n",
        "# these are generators for train/test data that will read pictures #found in the defined subfolders of 'data/'\n",
        "print('Total number of images for \"training\":')\n",
        "train_generator = train_datagen.flow_from_directory(\n",
        "train_data_dir,\n",
        "target_size = (img_height, img_width),\n",
        "batch_size = batch_size, \n",
        "class_mode = \"categorical\")\n",
        "\n",
        "print('Total number of images for \"testing\":')\n",
        "test_generator = test_datagen.flow_from_directory(\n",
        "test_data_dir,\n",
        "target_size = (img_height, img_width),\n",
        "batch_size = batch_size,\n",
        "class_mode = \"categorical\",\n",
        "shuffle=False)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Total number of images for \"training\":\n",
            "Found 2411 images belonging to 7 classes.\n",
            "Total number of images for \"testing\":\n",
            "Found 608 images belonging to 7 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pVIckiONUJeo"
      },
      "source": [
        "from tensorflow.keras.optimizers import Adam\n",
        "from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau, ModelCheckpoint"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jfS3LKIYUEd4",
        "outputId": "5f3eb805-609e-421d-eb5c-ede8d8c5eed7"
      },
      "source": [
        "learning_rate = 5e-5\n",
        "epochs = 50\n",
        "earlystopping = EarlyStopping(monitor = 'val_accuracy', \n",
        "                              mode = 'max' , \n",
        "                              patience = 10,\n",
        "                              verbose = 1)\n",
        "checkpoint = ModelCheckpoint(\"sign_classifier.h5\", monitor = 'val_acc', verbose=1, save_best_only=True, save_weights_only=False, mode='auto', period=1)\n",
        "model.compile(loss=\"categorical_crossentropy\", optimizer=Adam(lr=learning_rate, clipnorm = 1.), metrics = ['acc'])\n"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:`period` argument is deprecated. Please use `save_freq` to specify the frequency in number of batches seen.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-FAdqJgtpJe7"
      },
      "source": [
        "conv_base =tf.keras.applications.MobileNetV2(weights='imagenet', include_top=False, pooling='max', input_shape = (img_width, img_height, 3))\n",
        "model = models.Sequential()\n",
        "model.add(conv_base)\n",
        "model.add(layers.Dense(nb_categories, activation='softmax'))"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MeXZ60O8pPLU",
        "outputId": "8790ceda-97a5-45a2-b733-c40bbaa6c655"
      },
      "source": [
        "train_datagen = ImageDataGenerator(\n",
        "        rescale=1./255,\n",
        "        rotation_range=10,\n",
        "        zoom_range=0.1,\n",
        "        width_shift_range=0.1,\n",
        "        height_shift_range=0.1,\n",
        "        horizontal_flip=False,\n",
        "        brightness_range = (0.9,1.1),\n",
        "        fill_mode='nearest'\n",
        "        )\n",
        "\n",
        "# this is a generator that will read pictures found in\n",
        "# subfolers of 'data/train', and indefinitely generate\n",
        "# batches of augmented image data\n",
        "\n",
        "train_generator = train_datagen.flow_from_directory(\n",
        "train_data_dir,\n",
        "target_size = (img_height, img_width),\n",
        "batch_size = batch_size, \n",
        "#save_to_dir='augm_images', \n",
        "save_prefix='aug', \n",
        "save_format='jpg',\n",
        "class_mode = \"categorical\")"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 2411 images belonging to 7 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z0nbX2-IpSZs"
      },
      "source": [
        "callbacks = EarlyStopping(monitor='val_loss', patience=10, verbose=1, mode='auto')"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G22hHbvtpT5l"
      },
      "source": [
        "import numpy as np\n",
        "from datetime import datetime\n",
        "import time\n",
        "#from sklearn import tree\n",
        "#from sklearn.preprocessing import normalize, scale\n",
        "from sklearn.metrics import accuracy_score\n",
        "fmt = '%H:%M:%S'\n",
        "def get_current_time():\n",
        "    time.ctime()\n",
        "    return time.strftime(fmt)\n",
        "first = get_current_time()"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HJqTzZ6FpVmL",
        "outputId": "922f4c14-3360-4947-cfd1-f70ffb77c743"
      },
      "source": [
        "learning_rate = 5e-5\n",
        "epochs = 100\n",
        "checkpoint = ModelCheckpoint(\"sign_classifier_augm.h5\", monitor='val_acc', verbose=1, save_best_only=True, save_weights_only=False, mode='auto', period=1)\n",
        "model.compile(loss=\"categorical_crossentropy\", optimizer=Adam(lr=learning_rate, clipnorm=1.), metrics = ['acc'])\n",
        "history = model.fit_generator(train_generator, \n",
        "                              epochs=epochs, \n",
        "                              shuffle=True, \n",
        "                              validation_data=test_generator,\n",
        "                              callbacks=[checkpoint]\n",
        "                              )"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:`period` argument is deprecated. Please use `save_freq` to specify the frequency in number of batches seen.\n",
            "Epoch 1/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 3.2299 - acc: 0.4202 \n",
            "Epoch 00001: val_acc improved from -inf to 0.40132, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 665s 18s/step - loss: 3.2299 - acc: 0.4202 - val_loss: 3.6694 - val_acc: 0.4013\n",
            "Epoch 2/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 1.0934 - acc: 0.7026\n",
            "Epoch 00002: val_acc improved from 0.40132 to 0.44243, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 57s 1s/step - loss: 1.0934 - acc: 0.7026 - val_loss: 3.1791 - val_acc: 0.4424\n",
            "Epoch 3/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.6903 - acc: 0.7951\n",
            "Epoch 00003: val_acc improved from 0.44243 to 0.47368, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 57s 1s/step - loss: 0.6903 - acc: 0.7951 - val_loss: 2.9789 - val_acc: 0.4737\n",
            "Epoch 4/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.4838 - acc: 0.8490\n",
            "Epoch 00004: val_acc improved from 0.47368 to 0.49507, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 57s 1s/step - loss: 0.4838 - acc: 0.8490 - val_loss: 2.7153 - val_acc: 0.4951\n",
            "Epoch 5/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.3572 - acc: 0.8897\n",
            "Epoch 00005: val_acc improved from 0.49507 to 0.56250, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 57s 2s/step - loss: 0.3572 - acc: 0.8897 - val_loss: 2.3084 - val_acc: 0.5625\n",
            "Epoch 6/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.2285 - acc: 0.9229\n",
            "Epoch 00006: val_acc did not improve from 0.56250\n",
            "38/38 [==============================] - 56s 1s/step - loss: 0.2285 - acc: 0.9229 - val_loss: 2.3423 - val_acc: 0.5493\n",
            "Epoch 7/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.1909 - acc: 0.9370\n",
            "Epoch 00007: val_acc improved from 0.56250 to 0.60033, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.1909 - acc: 0.9370 - val_loss: 1.9616 - val_acc: 0.6003\n",
            "Epoch 8/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.1345 - acc: 0.9548\n",
            "Epoch 00008: val_acc improved from 0.60033 to 0.62171, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.1345 - acc: 0.9548 - val_loss: 1.8898 - val_acc: 0.6217\n",
            "Epoch 9/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.1260 - acc: 0.9577\n",
            "Epoch 00009: val_acc did not improve from 0.62171\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.1260 - acc: 0.9577 - val_loss: 2.1182 - val_acc: 0.5822\n",
            "Epoch 10/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0788 - acc: 0.9714\n",
            "Epoch 00010: val_acc improved from 0.62171 to 0.64145, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0788 - acc: 0.9714 - val_loss: 1.7533 - val_acc: 0.6414\n",
            "Epoch 11/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0753 - acc: 0.9751\n",
            "Epoch 00011: val_acc improved from 0.64145 to 0.64474, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0753 - acc: 0.9751 - val_loss: 1.8787 - val_acc: 0.6447\n",
            "Epoch 12/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0672 - acc: 0.9772\n",
            "Epoch 00012: val_acc improved from 0.64474 to 0.65461, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0672 - acc: 0.9772 - val_loss: 1.7898 - val_acc: 0.6546\n",
            "Epoch 13/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0565 - acc: 0.9793\n",
            "Epoch 00013: val_acc improved from 0.65461 to 0.71875, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0565 - acc: 0.9793 - val_loss: 1.5035 - val_acc: 0.7188\n",
            "Epoch 14/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0475 - acc: 0.9830\n",
            "Epoch 00014: val_acc improved from 0.71875 to 0.73355, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0475 - acc: 0.9830 - val_loss: 1.2075 - val_acc: 0.7336\n",
            "Epoch 15/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0375 - acc: 0.9867\n",
            "Epoch 00015: val_acc improved from 0.73355 to 0.73520, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0375 - acc: 0.9867 - val_loss: 1.2729 - val_acc: 0.7352\n",
            "Epoch 16/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0344 - acc: 0.9892\n",
            "Epoch 00016: val_acc improved from 0.73520 to 0.76316, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 59s 2s/step - loss: 0.0344 - acc: 0.9892 - val_loss: 1.1696 - val_acc: 0.7632\n",
            "Epoch 17/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0257 - acc: 0.9929\n",
            "Epoch 00017: val_acc did not improve from 0.76316\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0257 - acc: 0.9929 - val_loss: 1.3243 - val_acc: 0.7582\n",
            "Epoch 18/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0332 - acc: 0.9867\n",
            "Epoch 00018: val_acc improved from 0.76316 to 0.77961, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 59s 2s/step - loss: 0.0332 - acc: 0.9867 - val_loss: 1.1061 - val_acc: 0.7796\n",
            "Epoch 19/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0333 - acc: 0.9900\n",
            "Epoch 00019: val_acc improved from 0.77961 to 0.79441, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 59s 2s/step - loss: 0.0333 - acc: 0.9900 - val_loss: 0.9202 - val_acc: 0.7944\n",
            "Epoch 20/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0324 - acc: 0.9900\n",
            "Epoch 00020: val_acc improved from 0.79441 to 0.79605, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 59s 2s/step - loss: 0.0324 - acc: 0.9900 - val_loss: 1.0073 - val_acc: 0.7961\n",
            "Epoch 21/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0320 - acc: 0.9909\n",
            "Epoch 00021: val_acc did not improve from 0.79605\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0320 - acc: 0.9909 - val_loss: 0.9836 - val_acc: 0.7911\n",
            "Epoch 22/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0191 - acc: 0.9917\n",
            "Epoch 00022: val_acc improved from 0.79605 to 0.80757, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 59s 2s/step - loss: 0.0191 - acc: 0.9917 - val_loss: 0.9619 - val_acc: 0.8076\n",
            "Epoch 23/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0229 - acc: 0.9946\n",
            "Epoch 00023: val_acc did not improve from 0.80757\n",
            "38/38 [==============================] - 58s 2s/step - loss: 0.0229 - acc: 0.9946 - val_loss: 0.9573 - val_acc: 0.7911\n",
            "Epoch 24/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0209 - acc: 0.9929\n",
            "Epoch 00024: val_acc did not improve from 0.80757\n",
            "38/38 [==============================] - 57s 2s/step - loss: 0.0209 - acc: 0.9929 - val_loss: 0.9697 - val_acc: 0.7977\n",
            "Epoch 25/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0164 - acc: 0.9942\n",
            "Epoch 00025: val_acc did not improve from 0.80757\n",
            "38/38 [==============================] - 56s 1s/step - loss: 0.0164 - acc: 0.9942 - val_loss: 1.0185 - val_acc: 0.7911\n",
            "Epoch 26/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0100 - acc: 0.9979\n",
            "Epoch 00026: val_acc did not improve from 0.80757\n",
            "38/38 [==============================] - 56s 1s/step - loss: 0.0100 - acc: 0.9979 - val_loss: 0.9579 - val_acc: 0.8059\n",
            "Epoch 27/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0158 - acc: 0.9950\n",
            "Epoch 00027: val_acc improved from 0.80757 to 0.80921, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 56s 1s/step - loss: 0.0158 - acc: 0.9950 - val_loss: 0.9732 - val_acc: 0.8092\n",
            "Epoch 28/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0130 - acc: 0.9967\n",
            "Epoch 00028: val_acc improved from 0.80921 to 0.81414, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 55s 1s/step - loss: 0.0130 - acc: 0.9967 - val_loss: 0.8947 - val_acc: 0.8141\n",
            "Epoch 29/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0176 - acc: 0.9967\n",
            "Epoch 00029: val_acc improved from 0.81414 to 0.82895, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 55s 1s/step - loss: 0.0176 - acc: 0.9967 - val_loss: 0.8042 - val_acc: 0.8289\n",
            "Epoch 30/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0190 - acc: 0.9959\n",
            "Epoch 00030: val_acc did not improve from 0.82895\n",
            "38/38 [==============================] - 55s 1s/step - loss: 0.0190 - acc: 0.9959 - val_loss: 0.8561 - val_acc: 0.8207\n",
            "Epoch 31/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0147 - acc: 0.9971\n",
            "Epoch 00031: val_acc improved from 0.82895 to 0.83059, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 56s 1s/step - loss: 0.0147 - acc: 0.9971 - val_loss: 0.8332 - val_acc: 0.8306\n",
            "Epoch 32/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0169 - acc: 0.9967\n",
            "Epoch 00032: val_acc improved from 0.83059 to 0.83882, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 56s 1s/step - loss: 0.0169 - acc: 0.9967 - val_loss: 0.7514 - val_acc: 0.8388\n",
            "Epoch 33/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0105 - acc: 0.9975\n",
            "Epoch 00033: val_acc did not improve from 0.83882\n",
            "38/38 [==============================] - 55s 1s/step - loss: 0.0105 - acc: 0.9975 - val_loss: 0.8254 - val_acc: 0.8289\n",
            "Epoch 34/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0129 - acc: 0.9946\n",
            "Epoch 00034: val_acc did not improve from 0.83882\n",
            "38/38 [==============================] - 55s 1s/step - loss: 0.0129 - acc: 0.9946 - val_loss: 0.7799 - val_acc: 0.8322\n",
            "Epoch 35/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0191 - acc: 0.9963\n",
            "Epoch 00035: val_acc did not improve from 0.83882\n",
            "38/38 [==============================] - 56s 1s/step - loss: 0.0191 - acc: 0.9963 - val_loss: 0.7631 - val_acc: 0.8355\n",
            "Epoch 36/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0129 - acc: 0.9971\n",
            "Epoch 00036: val_acc improved from 0.83882 to 0.84375, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 56s 1s/step - loss: 0.0129 - acc: 0.9971 - val_loss: 0.7437 - val_acc: 0.8438\n",
            "Epoch 37/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0059 - acc: 0.9992\n",
            "Epoch 00037: val_acc improved from 0.84375 to 0.84704, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 55s 1s/step - loss: 0.0059 - acc: 0.9992 - val_loss: 0.7691 - val_acc: 0.8470\n",
            "Epoch 38/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0245 - acc: 0.9954\n",
            "Epoch 00038: val_acc did not improve from 0.84704\n",
            "38/38 [==============================] - 54s 1s/step - loss: 0.0245 - acc: 0.9954 - val_loss: 0.7022 - val_acc: 0.8421\n",
            "Epoch 39/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0113 - acc: 0.9967\n",
            "Epoch 00039: val_acc did not improve from 0.84704\n",
            "38/38 [==============================] - 54s 1s/step - loss: 0.0113 - acc: 0.9967 - val_loss: 0.7086 - val_acc: 0.8421\n",
            "Epoch 40/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0085 - acc: 0.9983\n",
            "Epoch 00040: val_acc improved from 0.84704 to 0.85526, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 54s 1s/step - loss: 0.0085 - acc: 0.9983 - val_loss: 0.6696 - val_acc: 0.8553\n",
            "Epoch 41/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0174 - acc: 0.9954\n",
            "Epoch 00041: val_acc improved from 0.85526 to 0.86020, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 54s 1s/step - loss: 0.0174 - acc: 0.9954 - val_loss: 0.6433 - val_acc: 0.8602\n",
            "Epoch 42/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0121 - acc: 0.9967\n",
            "Epoch 00042: val_acc improved from 0.86020 to 0.87007, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 54s 1s/step - loss: 0.0121 - acc: 0.9967 - val_loss: 0.6421 - val_acc: 0.8701\n",
            "Epoch 43/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0069 - acc: 0.9988\n",
            "Epoch 00043: val_acc improved from 0.87007 to 0.87336, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0069 - acc: 0.9988 - val_loss: 0.6960 - val_acc: 0.8734\n",
            "Epoch 44/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0076 - acc: 0.9983\n",
            "Epoch 00044: val_acc did not improve from 0.87336\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0076 - acc: 0.9983 - val_loss: 0.6922 - val_acc: 0.8586\n",
            "Epoch 45/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0163 - acc: 0.9975\n",
            "Epoch 00045: val_acc did not improve from 0.87336\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0163 - acc: 0.9975 - val_loss: 0.6386 - val_acc: 0.8651\n",
            "Epoch 46/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0119 - acc: 0.9963\n",
            "Epoch 00046: val_acc did not improve from 0.87336\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0119 - acc: 0.9963 - val_loss: 0.6427 - val_acc: 0.8651\n",
            "Epoch 47/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0110 - acc: 0.9975\n",
            "Epoch 00047: val_acc did not improve from 0.87336\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0110 - acc: 0.9975 - val_loss: 0.6082 - val_acc: 0.8651\n",
            "Epoch 48/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0093 - acc: 0.9975\n",
            "Epoch 00048: val_acc did not improve from 0.87336\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0093 - acc: 0.9975 - val_loss: 0.6807 - val_acc: 0.8586\n",
            "Epoch 49/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0126 - acc: 0.9971\n",
            "Epoch 00049: val_acc improved from 0.87336 to 0.87829, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0126 - acc: 0.9971 - val_loss: 0.6121 - val_acc: 0.8783\n",
            "Epoch 50/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0103 - acc: 0.9979\n",
            "Epoch 00050: val_acc improved from 0.87829 to 0.87993, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0103 - acc: 0.9979 - val_loss: 0.6322 - val_acc: 0.8799\n",
            "Epoch 51/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0111 - acc: 0.9971\n",
            "Epoch 00051: val_acc did not improve from 0.87993\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0111 - acc: 0.9971 - val_loss: 0.6485 - val_acc: 0.8668\n",
            "Epoch 52/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0063 - acc: 0.9983\n",
            "Epoch 00052: val_acc did not improve from 0.87993\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0063 - acc: 0.9983 - val_loss: 0.6465 - val_acc: 0.8684\n",
            "Epoch 53/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0131 - acc: 0.9963\n",
            "Epoch 00053: val_acc improved from 0.87993 to 0.88487, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0131 - acc: 0.9963 - val_loss: 0.6269 - val_acc: 0.8849\n",
            "Epoch 54/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0071 - acc: 0.9983\n",
            "Epoch 00054: val_acc did not improve from 0.88487\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0071 - acc: 0.9983 - val_loss: 0.6377 - val_acc: 0.8816\n",
            "Epoch 55/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0107 - acc: 0.9971\n",
            "Epoch 00055: val_acc did not improve from 0.88487\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0107 - acc: 0.9971 - val_loss: 0.6318 - val_acc: 0.8668\n",
            "Epoch 56/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0134 - acc: 0.9971\n",
            "Epoch 00056: val_acc did not improve from 0.88487\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0134 - acc: 0.9971 - val_loss: 0.5559 - val_acc: 0.8816\n",
            "Epoch 57/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0071 - acc: 0.9979\n",
            "Epoch 00057: val_acc did not improve from 0.88487\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0071 - acc: 0.9979 - val_loss: 0.6200 - val_acc: 0.8701\n",
            "Epoch 58/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0165 - acc: 0.9954\n",
            "Epoch 00058: val_acc did not improve from 0.88487\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0165 - acc: 0.9954 - val_loss: 0.5750 - val_acc: 0.8750\n",
            "Epoch 59/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0151 - acc: 0.9971\n",
            "Epoch 00059: val_acc did not improve from 0.88487\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0151 - acc: 0.9971 - val_loss: 0.5900 - val_acc: 0.8799\n",
            "Epoch 60/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0178 - acc: 0.9971\n",
            "Epoch 00060: val_acc did not improve from 0.88487\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0178 - acc: 0.9971 - val_loss: 0.6180 - val_acc: 0.8799\n",
            "Epoch 61/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0113 - acc: 0.9971\n",
            "Epoch 00061: val_acc improved from 0.88487 to 0.89145, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0113 - acc: 0.9971 - val_loss: 0.5773 - val_acc: 0.8914\n",
            "Epoch 62/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0083 - acc: 0.9983\n",
            "Epoch 00062: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0083 - acc: 0.9983 - val_loss: 0.6327 - val_acc: 0.8766\n",
            "Epoch 63/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0099 - acc: 0.9971\n",
            "Epoch 00063: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0099 - acc: 0.9971 - val_loss: 0.6322 - val_acc: 0.8717\n",
            "Epoch 64/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0088 - acc: 0.9992\n",
            "Epoch 00064: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0088 - acc: 0.9992 - val_loss: 0.6650 - val_acc: 0.8816\n",
            "Epoch 65/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0156 - acc: 0.9967\n",
            "Epoch 00065: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0156 - acc: 0.9967 - val_loss: 0.6743 - val_acc: 0.8799\n",
            "Epoch 66/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0167 - acc: 0.9959\n",
            "Epoch 00066: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0167 - acc: 0.9959 - val_loss: 0.7059 - val_acc: 0.8701\n",
            "Epoch 67/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0123 - acc: 0.9971\n",
            "Epoch 00067: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0123 - acc: 0.9971 - val_loss: 0.6818 - val_acc: 0.8618\n",
            "Epoch 68/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0069 - acc: 0.9988\n",
            "Epoch 00068: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0069 - acc: 0.9988 - val_loss: 0.6835 - val_acc: 0.8635\n",
            "Epoch 69/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0158 - acc: 0.9954\n",
            "Epoch 00069: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 54s 1s/step - loss: 0.0158 - acc: 0.9954 - val_loss: 0.6573 - val_acc: 0.8701\n",
            "Epoch 70/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0088 - acc: 0.9967\n",
            "Epoch 00070: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 54s 1s/step - loss: 0.0088 - acc: 0.9967 - val_loss: 0.6588 - val_acc: 0.8586\n",
            "Epoch 71/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0149 - acc: 0.9971\n",
            "Epoch 00071: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0149 - acc: 0.9971 - val_loss: 0.6741 - val_acc: 0.8602\n",
            "Epoch 72/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0110 - acc: 0.9971\n",
            "Epoch 00072: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0110 - acc: 0.9971 - val_loss: 0.6555 - val_acc: 0.8734\n",
            "Epoch 73/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0134 - acc: 0.9967\n",
            "Epoch 00073: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0134 - acc: 0.9967 - val_loss: 0.6705 - val_acc: 0.8684\n",
            "Epoch 74/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0039 - acc: 0.9988\n",
            "Epoch 00074: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0039 - acc: 0.9988 - val_loss: 0.7603 - val_acc: 0.8618\n",
            "Epoch 75/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0123 - acc: 0.9983\n",
            "Epoch 00075: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0123 - acc: 0.9983 - val_loss: 0.9115 - val_acc: 0.8421\n",
            "Epoch 76/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0028 - acc: 0.9992\n",
            "Epoch 00076: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0028 - acc: 0.9992 - val_loss: 0.9003 - val_acc: 0.8470\n",
            "Epoch 77/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0050 - acc: 0.9988\n",
            "Epoch 00077: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0050 - acc: 0.9988 - val_loss: 0.8843 - val_acc: 0.8470\n",
            "Epoch 78/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0107 - acc: 0.9967\n",
            "Epoch 00078: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0107 - acc: 0.9967 - val_loss: 0.9609 - val_acc: 0.8405\n",
            "Epoch 79/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0113 - acc: 0.9983\n",
            "Epoch 00079: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0113 - acc: 0.9983 - val_loss: 0.9330 - val_acc: 0.8438\n",
            "Epoch 80/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0165 - acc: 0.9975\n",
            "Epoch 00080: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0165 - acc: 0.9975 - val_loss: 0.8523 - val_acc: 0.8454\n",
            "Epoch 81/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0053 - acc: 0.9983\n",
            "Epoch 00081: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0053 - acc: 0.9983 - val_loss: 0.8026 - val_acc: 0.8503\n",
            "Epoch 82/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0107 - acc: 0.9979\n",
            "Epoch 00082: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0107 - acc: 0.9979 - val_loss: 0.8287 - val_acc: 0.8553\n",
            "Epoch 83/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0090 - acc: 0.9983\n",
            "Epoch 00083: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0090 - acc: 0.9983 - val_loss: 0.7380 - val_acc: 0.8618\n",
            "Epoch 84/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0118 - acc: 0.9979\n",
            "Epoch 00084: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0118 - acc: 0.9979 - val_loss: 0.7540 - val_acc: 0.8668\n",
            "Epoch 85/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0110 - acc: 0.9975\n",
            "Epoch 00085: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0110 - acc: 0.9975 - val_loss: 0.8177 - val_acc: 0.8602\n",
            "Epoch 86/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0107 - acc: 0.9971\n",
            "Epoch 00086: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0107 - acc: 0.9971 - val_loss: 0.6945 - val_acc: 0.8832\n",
            "Epoch 87/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0137 - acc: 0.9967\n",
            "Epoch 00087: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0137 - acc: 0.9967 - val_loss: 0.7640 - val_acc: 0.8651\n",
            "Epoch 88/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0066 - acc: 0.9988\n",
            "Epoch 00088: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 51s 1s/step - loss: 0.0066 - acc: 0.9988 - val_loss: 0.7197 - val_acc: 0.8799\n",
            "Epoch 89/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0123 - acc: 0.9975\n",
            "Epoch 00089: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 51s 1s/step - loss: 0.0123 - acc: 0.9975 - val_loss: 0.7176 - val_acc: 0.8865\n",
            "Epoch 90/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0163 - acc: 0.9967\n",
            "Epoch 00090: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0163 - acc: 0.9967 - val_loss: 0.7089 - val_acc: 0.8849\n",
            "Epoch 91/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0109 - acc: 0.9967\n",
            "Epoch 00091: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 51s 1s/step - loss: 0.0109 - acc: 0.9967 - val_loss: 0.7089 - val_acc: 0.8799\n",
            "Epoch 92/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0147 - acc: 0.9954\n",
            "Epoch 00092: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0147 - acc: 0.9954 - val_loss: 0.6640 - val_acc: 0.8865\n",
            "Epoch 93/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0097 - acc: 0.9975\n",
            "Epoch 00093: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0097 - acc: 0.9975 - val_loss: 0.7189 - val_acc: 0.8799\n",
            "Epoch 94/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0042 - acc: 0.9988\n",
            "Epoch 00094: val_acc did not improve from 0.89145\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0042 - acc: 0.9988 - val_loss: 0.6934 - val_acc: 0.8849\n",
            "Epoch 95/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0153 - acc: 0.9975\n",
            "Epoch 00095: val_acc improved from 0.89145 to 0.89638, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0153 - acc: 0.9975 - val_loss: 0.6259 - val_acc: 0.8964\n",
            "Epoch 96/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0111 - acc: 0.9975\n",
            "Epoch 00096: val_acc did not improve from 0.89638\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0111 - acc: 0.9975 - val_loss: 0.6617 - val_acc: 0.8832\n",
            "Epoch 97/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0083 - acc: 0.9983\n",
            "Epoch 00097: val_acc did not improve from 0.89638\n",
            "38/38 [==============================] - 54s 1s/step - loss: 0.0083 - acc: 0.9983 - val_loss: 0.6048 - val_acc: 0.8882\n",
            "Epoch 98/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0109 - acc: 0.9971\n",
            "Epoch 00098: val_acc did not improve from 0.89638\n",
            "38/38 [==============================] - 53s 1s/step - loss: 0.0109 - acc: 0.9971 - val_loss: 0.5971 - val_acc: 0.8865\n",
            "Epoch 99/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0112 - acc: 0.9975\n",
            "Epoch 00099: val_acc did not improve from 0.89638\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0112 - acc: 0.9975 - val_loss: 0.6154 - val_acc: 0.8865\n",
            "Epoch 100/100\n",
            "38/38 [==============================] - ETA: 0s - loss: 0.0038 - acc: 0.9992\n",
            "Epoch 00100: val_acc improved from 0.89638 to 0.89967, saving model to sign_classifier_augm.h5\n",
            "38/38 [==============================] - 52s 1s/step - loss: 0.0038 - acc: 0.9992 - val_loss: 0.5769 - val_acc: 0.8997\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "USayqdsA0S6p",
        "outputId": "bd4c4290-4b52-4225-d17a-0304d0dfedbf"
      },
      "source": [
        "second = get_current_time()\n",
        "print(\"Time taken to train(sec):\", datetime.strptime(second, fmt) - datetime.strptime(first, fmt))"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Time taken to train(sec): 1:44:02\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OcrvMU3N0VP9",
        "outputId": "941e068f-777e-4605-fd35-c9a92695d1a2"
      },
      "source": [
        "score=model.evaluate(test_generator,batch_size=64)"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "10/10 [==============================] - 5s 506ms/step - loss: 0.5769 - acc: 0.8997\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OczFCfT90X-m",
        "outputId": "c4fe17b3-a47c-472d-a4c0-95d0a0ac96d6"
      },
      "source": [
        "score"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.5768803954124451, 0.8996710777282715]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 544
        },
        "id": "ij2EwWAD0YmW",
        "outputId": "41b7f29c-3aa8-4976-f25c-ed5219accdb0"
      },
      "source": [
        "acc = history.history['acc']\n",
        "val_acc = history.history['val_acc']\n",
        "loss = history.history['loss']\n",
        "val_loss = history.history['val_loss']\n",
        "epochs = range(1,len(acc)+1)\n",
        "plt.figure()\n",
        "plt.plot(epochs, acc, 'b', label = 'Training accuracy')\n",
        "plt.plot(epochs, val_acc, 'r', label='Validation accuracy')\n",
        "plt.title('Training and validation accuracy')\n",
        "plt.legend()\n",
        "plt.savefig('Accuracy.jpg')\n",
        "plt.figure()\n",
        "plt.plot(epochs, loss, 'b', label = 'Training loss')\n",
        "plt.plot(epochs, val_loss, 'r', label='Validation loss')\n",
        "plt.title('Training and validation loss')\n",
        "plt.legend()\n",
        "plt.savefig('Loss.jpg')"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rf2QwIAh0eD_",
        "outputId": "89010a0a-b13b-48c7-9c15-70ceb88b3c16"
      },
      "source": [
        "y_pred = model.predict(test_generator)\n",
        "import numpy as np\n",
        "y_pred = np.argmax(y_pred, axis=1)\n",
        "y_pred"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 1, 0, 0, 0, 0, 0,\n",
              "       0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 4, 0, 0, 0, 4, 0, 0,\n",
              "       0, 4, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 5, 2, 4, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 5, 2, 2, 2, 0, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 5, 2, 5, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 5, 2, 2, 2, 2, 2, 5, 2, 2, 2, 5, 2, 2, 2, 2, 2,\n",
              "       5, 2, 5, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 6, 3, 3, 3,\n",
              "       2, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
              "       3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 3, 1, 3, 3, 3, 3, 6,\n",
              "       3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 6, 3, 3, 3,\n",
              "       3, 3, 3, 3, 3, 3, 4, 3, 3, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
              "       4, 4, 4, 4, 4, 4, 4, 5, 0, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
              "       4, 4, 0, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 4, 4, 4,\n",
              "       4, 4, 0, 4, 4, 4, 0, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
              "       4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
              "       4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5,\n",
              "       5, 5, 5, 5, 5, 5, 5, 5, 2, 5, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n",
              "       5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 3, 5, 5, 5, 5, 5, 5,\n",
              "       5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 2, 5, 5, 5, 5, 5, 5,\n",
              "       5, 5, 5, 5, 1, 5, 5, 5, 5, 6, 6, 0, 6, 5, 5, 5, 6, 5, 5, 5, 5, 5,\n",
              "       5, 6, 5, 5, 5, 5, 5, 5, 6, 6, 4, 6, 6, 1, 2, 6, 6, 5, 6, 4, 6, 4,\n",
              "       6, 6, 6, 6, 5, 5, 6, 3, 5, 6, 6, 6, 4, 6])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mEKbG9KO0hiR",
        "outputId": "4146326e-6aaf-416b-932d-20e0ab4ee716"
      },
      "source": [
        "accuracy = accuracy_score(test_generator.classes, y_pred)\n",
        "print(\"Accuracy in test set: %0.1f%% \" % (accuracy * 100))"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy in test set: 90.0% \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uXqni2A6MZcQ",
        "outputId": "a5e2fcd3-713d-461d-9db7-d97f387267c8"
      },
      "source": [
        "\n",
        "test_generator.reset()\n",
        "score = model.evaluate_generator(test_generator, (test_generator.samples + (64-1)) //64)\n",
        "print(\"For testing data set; Loss: \",score[0],\" Accuracy: \", score[1])"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From <ipython-input-23-c3865b806f1e>:3: Model.evaluate_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use Model.evaluate, which supports generators.\n",
            "For testing data set; Loss:  0.5768803954124451  Accuracy:  0.8996710777282715\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PclQEKYWhhon"
      },
      "source": [
        "\n",
        "train_generator.reset()\n",
        "score = model.evaluate_generator(train_generator, (train_generator.samples + (64-1)) // 64)"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vPbU6Jm8h2dS",
        "outputId": "d217ff1e-1264-424c-f66b-7c25697917a1"
      },
      "source": [
        "\n",
        "test_generator.reset()\n",
        "testStep = (test_generator.samples + (64-1)) //64\n",
        "print(\"testStep: \", testStep)\n",
        "predictions = model.predict_generator(test_generator, steps = testStep ,  verbose = 1)\n",
        "len(predictions)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "testStep:  10\n",
            "WARNING:tensorflow:From <ipython-input-25-e20bd63ad7ab>:5: Model.predict_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use Model.predict, which supports generators.\n",
            "10/10 [==============================] - 5s 509ms/step\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "608"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SIO16ymTh_B7",
        "outputId": "394c711b-b333-439a-ccb7-0ed410636560"
      },
      "source": [
        "len(predictions)"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "608"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hFDn_xRLiA38",
        "outputId": "26b62555-6ad1-4e4a-b177-e55bc21d59a5"
      },
      "source": [
        "\n",
        "predicted_class_indices=np.argmax(predictions,axis=1)\n",
        "print(predicted_class_indices)\n",
        "len(predicted_class_indices)"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0\n",
            " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 4 0 0 0 4 0 0 0 4 0 0 4 0 0 0\n",
            " 0 0 0 0 0 0 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
            " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
            " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2\n",
            " 2 2 2 5 2 4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 5 2 2 2 0 2 2 2 2 2 2 2 2 2\n",
            " 2 2 2 2 2 2 2 2 2 2 2 5 2 5 2 2 2 2 2 2 2 2 2 2 2 2 5 2 2 2 2 2 5 2 2 2 5\n",
            " 2 2 2 2 2 5 2 5 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 6 3 3 3 2 3 3 3 3 3 3 3 5 3\n",
            " 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 0 3 1 3 3 3 3 6 3 3 3\n",
            " 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 6 3 3 3 3 3 3 3 3 3 4 3 3 2 3 3 4 4 4 4 4 4\n",
            " 4 4 4 4 4 4 4 4 4 4 4 5 0 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 0 4 4 4 4 4 4 4 4\n",
            " 4 4 4 4 4 4 5 4 4 4 4 4 4 0 4 4 4 0 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4\n",
            " 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4\n",
            " 4 4 5 5 5 5 5 5 5 5 5 2 5 2 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5\n",
            " 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 2 5 5 5 5 5 5 5 5 5 5 1\n",
            " 5 5 5 5 6 6 0 6 5 5 5 6 5 5 5 5 5 5 6 5 5 5 5 5 5 6 6 4 6 6 1 2 6 6 5 6 4\n",
            " 6 4 6 6 6 6 5 5 6 3 5 6 6 6 4 6]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "608"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PeY5dIcHiK_B",
        "outputId": "3a294e82-f39c-4054-fd66-b34ddbb7dbd8"
      },
      "source": [
        "\n",
        "labels = (test_generator.class_indices)\n",
        "print(labels)"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'cardboard': 0, 'ewaste': 1, 'glass': 2, 'metal': 3, 'paper': 4, 'plastic': 5, 'trash': 6}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6PDzLjY-iNbI",
        "outputId": "a8f8df5d-ee10-4233-a9ad-c20af1f370bf"
      },
      "source": [
        "labels = dict((v,k) for k,v in labels.items())\n",
        "print(labels)"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{0: 'cardboard', 1: 'ewaste', 2: 'glass', 3: 'metal', 4: 'paper', 5: 'plastic', 6: 'trash'}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "r_VNc4mKiO71",
        "outputId": "a64ce56f-aeed-4db7-a725-a55ebb0d2ce7"
      },
      "source": [
        "predictedLables= [labels[k] for k in predicted_class_indices]\n",
        "print(predictedLables)\n",
        "len(predictedLables)"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'paper', 'cardboard', 'ewaste', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'ewaste', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'plastic', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'paper', 'cardboard', 'cardboard', 'cardboard', 'paper', 'cardboard', 'cardboard', 'cardboard', 'paper', 'cardboard', 'cardboard', 'paper', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'paper', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'plastic', 'glass', 'paper', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'ewaste', 'glass', 'glass', 'plastic', 'glass', 'glass', 'glass', 'cardboard', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'plastic', 'glass', 'plastic', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'plastic', 'glass', 'glass', 'glass', 'glass', 'glass', 'plastic', 'glass', 'glass', 'glass', 'plastic', 'glass', 'glass', 'glass', 'glass', 'glass', 'plastic', 'glass', 'plastic', 'metal', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'trash', 'metal', 'metal', 'metal', 'glass', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'plastic', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'cardboard', 'metal', 'ewaste', 'metal', 'metal', 'metal', 'metal', 'trash', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'trash', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'paper', 'metal', 'metal', 'glass', 'metal', 'metal', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'plastic', 'cardboard', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'cardboard', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'plastic', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'cardboard', 'paper', 'paper', 'paper', 'cardboard', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'metal', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'plastic', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'glass', 'plastic', 'glass', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'metal', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'glass', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'ewaste', 'plastic', 'plastic', 'plastic', 'plastic', 'trash', 'trash', 'cardboard', 'trash', 'plastic', 'plastic', 'plastic', 'trash', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'trash', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'trash', 'trash', 'paper', 'trash', 'trash', 'ewaste', 'glass', 'trash', 'trash', 'plastic', 'trash', 'paper', 'trash', 'paper', 'trash', 'trash', 'trash', 'trash', 'plastic', 'plastic', 'trash', 'metal', 'plastic', 'trash', 'trash', 'trash', 'paper', 'trash']\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "608"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yRW2lDAZiQj3",
        "outputId": "cb377dbf-7412-4109-a092-480358c25a0f"
      },
      "source": [
        "\n",
        "actualLables= [labels[k] for k in test_generator.classes]\n",
        "print(actualLables)\n",
        "len(actualLables)"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'cardboard', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'ewaste', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'glass', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'metal', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'paper', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'plastic', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash', 'trash']\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "608"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IoM0H0d2iS6S",
        "outputId": "c522fa52-97b4-47f0-c0b2-114656e4d43a"
      },
      "source": [
        "accuracy_score(actualLables, predictedLables)"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.899671052631579"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cxiaQcbliVH3",
        "outputId": "83cec284-f528-4d6f-9dc8-b3eb6164af0b"
      },
      "source": [
        "\n",
        "matrix = confusion_matrix(actualLables, predictedLables)\n",
        "print(labels)\n",
        "matrix"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{0: 'cardboard', 1: 'ewaste', 2: 'glass', 3: 'metal', 4: 'paper', 5: 'plastic', 6: 'trash'}\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 72,   2,   0,   0,   6,   1,   0],\n",
              "       [  0, 100,   0,   0,   0,   0,   0],\n",
              "       [  1,   1,  88,   1,   1,   9,   0],\n",
              "       [  1,   1,   2,  73,   1,   1,   3],\n",
              "       [  4,   0,   0,   1, 111,   3,   0],\n",
              "       [  1,   1,   3,   1,   0,  86,   5],\n",
              "       [  0,   1,   1,   1,   4,   4,  17]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xjsClEWJiWs8",
        "outputId": "00006b7c-0699-43e2-a403-74727c0f0108"
      },
      "source": [
        "print(classification_report(actualLables, predictedLables))"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "   cardboard       0.91      0.89      0.90        81\n",
            "      ewaste       0.94      1.00      0.97       100\n",
            "       glass       0.94      0.87      0.90       101\n",
            "       metal       0.95      0.89      0.92        82\n",
            "       paper       0.90      0.93      0.92       119\n",
            "     plastic       0.83      0.89      0.86        97\n",
            "       trash       0.68      0.61      0.64        28\n",
            "\n",
            "    accuracy                           0.90       608\n",
            "   macro avg       0.88      0.87      0.87       608\n",
            "weighted avg       0.90      0.90      0.90       608\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tWb49nc9iZHI",
        "outputId": "51ee21e7-b7e9-4f5b-823c-c8f59f4a52a6"
      },
      "source": [
        "\n",
        "recall_score( actualLables, predictedLables,average='weighted')"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.899671052631579"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KDglQAQvibfl",
        "outputId": "e9a6e514-ce65-4eef-d5d8-c237a9f117d1"
      },
      "source": [
        "precision_score( actualLables, predictedLables,average='weighted')"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8998316464559785"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XfJCUQ-qioCu"
      },
      "source": [
        "\n",
        "selectedClasses = [ 'cardboard','ewaste', 'glass', 'metal','paper', 'plastic', 'trash']"
      ],
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U_ymjqreidCj"
      },
      "source": [
        "\n",
        "#Prepared code that is taken from SKLearn Website, Creates Confusion Matrix\n",
        "def plot_confusion_matrix(cm, classes,\n",
        "                          normalize=False,\n",
        "                          title='Confusion matrix',\n",
        "                          cmap=plt.cm.Blues):\n",
        "    \"\"\"\n",
        "    This function prints and plots the confusion matrix.\n",
        "    Normalization can be applied by setting `normalize=True`.\n",
        "    \"\"\"\n",
        "    if normalize:\n",
        "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
        "        print(\"Normalized confusion matrix\")\n",
        "    else:\n",
        "        print('Confusion matrix, without normalization')\n",
        "\n",
        "    print(cm)\n",
        "\n",
        "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
        "    plt.title(title)\n",
        "    plt.colorbar()\n",
        "    tick_marks = np.arange(len(classes))\n",
        "    plt.xticks(tick_marks, classes, rotation=45)\n",
        "    plt.yticks(tick_marks, classes)\n",
        "\n",
        "    fmt = '.2f' if normalize else 'd'\n",
        "    thresh = cm.max() / 2.\n",
        "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
        "        plt.text(j, i, format(cm[i, j], fmt),\n",
        "                 horizontalalignment=\"center\",\n",
        "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
        "\n",
        "    plt.tight_layout()\n",
        "    plt.ylabel('True label')\n",
        "    plt.xlabel('Predicted label')"
      ],
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 871
        },
        "id": "yjTK7Ljtig6_",
        "outputId": "95610599-af9f-408f-f2a5-2ffb14e04cbf"
      },
      "source": [
        "\n",
        "plt.figure(figsize=(10,10))\n",
        "cm_plot_labels = selectedClasses\n",
        "plot_confusion_matrix(matrix,cm_plot_labels, normalize=False\n",
        "                      , title = 'Confusion Matrix')"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Confusion matrix, without normalization\n",
            "[[ 72   2   0   0   6   1   0]\n",
            " [  0 100   0   0   0   0   0]\n",
            " [  1   1  88   1   1   9   0]\n",
            " [  1   1   2  73   1   1   3]\n",
            " [  4   0   0   1 111   3   0]\n",
            " [  1   1   3   1   0  86   5]\n",
            " [  0   1   1   1   4   4  17]]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d6uUGjtoiitw"
      },
      "source": [
        "from tensorflow.keras.models import load_model\n",
        "\n",
        "model.save('/content/drive/MyDrive/MobilenetV2(?%).h5')"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O-TZjYf9_bp8"
      },
      "source": [
        "pip freeze --local > /content/drive/MyDrive/colab_installed.txt"
      ],
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2YXDs2B2LQVj"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}