Energy_consumption_Anaysis.ipynb

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    "colab": {
      "name": "Energy consumption Anaysis.ipynb",
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        "name": "ipython",
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      "pygments_lexer": "ipython3",
      "version": "3.6.5"
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
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        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/gwhagerty/Energy-consumption-prediction-analysis/blob/master/Energy_consumption_Anaysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5cwyjez73Tp1",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
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              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "outputId": "8950585f-b277-4b56-eb4c-fd57e2eab526"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline\n",
        "\n",
        "# Uploading local saved csv files to colab\n",
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-3af960ea-2824-43de-befd-4012ab1d0ea7\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-3af960ea-2824-43de-befd-4012ab1d0ea7\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving PJME_hourly.csv to PJME_hourly.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2kH3j6x23TqM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "outputId": "96c0dbac-8da4-47c6-f249-6fb19c1acb43"
      },
      "source": [
        "# Reading Uploaded csv files as dataframe\n",
        "import io\n",
        "\n",
        "data = pd.read_csv(io.BytesIO(uploaded['PJME_hourly.csv']), index_col = [0], parse_dates = [0])\n",
        "data.head(2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PJME_MW</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Datetime</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2002-12-31 01:00:00</th>\n",
              "      <td>26498.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2002-12-31 02:00:00</th>\n",
              "      <td>25147.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     PJME_MW\n",
              "Datetime                    \n",
              "2002-12-31 01:00:00  26498.0\n",
              "2002-12-31 02:00:00  25147.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fWH_z60w3Tqu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        },
        "outputId": "8f0225be-c3d3-4a8c-e4f2-d030719efb36"
      },
      "source": [
        "data.plot(style = '.', color = 'green', figsize = (20,5), title = 'PJME TIME SERIES')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f923e5a5390>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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VIYPSV4yxYZzzL8MhbYfD2w8AKJUdPyJcdwBnQ+Sken+4foTG/lFwzqsBVAOhLG9xtJ0g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\neDm4pZ8V9SQ80ZA+j8uDW8ffGpeHT64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eQV4SnI8XMiipqLwqtXSKUmp4O1B5VWXUQ+lm\nbvTJ0xdTbviqAVe/dHXWXlbyUJx0ZznZc2xPwkKHkrXXSp5svfLSFwaql+rWUqQwjm850YIFUxaY\nnhElnUjPdp4rL2VPve1HtsPj8sDN3FETbTOfXamdZngW6qGKOTcNu6wmJnLts5WpK93ZAFduX6mb\nGTVZ7CDaLrFq+6q49x3cZzAuHHjh2WebMUt7t6nT3CdKUAxa0jtLTk1DTcSDT25YAkLvD8m7dGgf\n47TpHBzjB46PjF/dzJ3y2D4byMXaJdQG94oJFTEnz/Jrly6kd2d1XbXpUQJAyLimN7l1waXbv7Sc\naEFVbRUOHD+gqBe5mPLzog6Zy5TUh56+bbwEeRAVb1VYeuFGLxpFEoVPVpJBnUUxnUghvhJGY6TT\nXacz0aQIcsF5xDnLIQ0lFd5SL3p5euFMz5nYO+tglwxnK7evjBLB6xa70Te/r+FxIkRU1Vbhre8n\nnz0hWdTuv2aE5uitCKkt2/EgH/xahXRleQOQsoh1LpCq2OVTm54CANMzoqQDdXa3y4dfjm1fbUs6\ntf3nRz5HnisPN51/E97e/rZim1lhdVKYEQePhMSk4xrHKxabKKlONHMB1eAkJtnI1JXubIDVddWm\nGNDlWjtASOzcirpBaoSAkNDK++FTh3H41OFIWeQinhaexi3jbrHktUjF0xVAxDsrHRqS2UJ+n7uY\nC/u/3g8hIMTlpXOi60TkfRzkQctkUJWjZwSSDO5vNL2BicMmxpXlLZ2Lq+pxgaSDJSXBMOO6G3ke\nihBRlF+EE10ndPdRh0CaIbkghcwt27oMw/sNz5j+zvGO47F3isGuY7simo9W1BaTi2/L7zOp3owI\niHS/S6WwsmDw7LhxQK8BmqGT6/auw8b9GzPupZQI5KEE5apkdV11SsYkwDwx2WwiBATdwe8XR76I\nefyOo9qC3lbEzOwYUgpTK60mFhcUp82zw+rZAKvrqhUpvJNByhp4pudMzt8T/mY/zvSciWR323Jw\nS9LGJIlusRsfH/w4JU0AIzIV8maWULmaVCeauUA8iywuuDKeZUVOurITSeOLxzY+Zsr5euX1UryP\nraobJEcICJixfEbKqc2D3Dr9qhwhIKA2UJv08eMHjseHd34IAPAt92HRB4vgW+6zXFhLLIHpF+pe\nwPRXpuPJTU/GPNfa3WsVZStqKOkZgQb1GYR5q+ZhzZ41IT2dOPqddGp21jTUKMYFcnF5swxZ3lIv\nLhx4oe72k10nTfmcZKg/VI+3t7+d0SxcZpEtb+BU0Uu24ivzweVKzLShnt9MGjYpop2bznept9SL\nG8beEClzcF0dLrkodyZIJrTW8QYl6ab52Qc/w7SXp+GX/l+mfM5UdZhyASOXv3xPfszjzx9wvpnN\niZuKCRUocBeAgaHAXWBKWJk6Fj8VpPAeK2k9SFk70oHVJ8tmd8a5PhmKN/V7omh5+6Wip6JGGuCm\nU7crXQP28YOsIdRuRKysoEDIa/PSYZdmNMuKHLm+kYu5THk/y93y932trz2YCB3dHYoBcLq9DzLB\nQ+sfQmewM6VzSH2+VfpVOammRD9/4PmR83QFu8DBI1nRrIRRAhApBK5b7I7LgKIOobbiWEPLQ6ko\nryinFq2FgIAX61/U3W5mv2hkcEy0b+fgKT8fQkDA/HfnR+5Js3RbY2Hm2Cgb3sBmsHrXas2yt9SL\n7130vYTOpdbXqv+yPiPvUiEg4O0v3o69Y5h0LoiqScaRwvEGJbngcpAHcejkoZTPOWfMnJTPkW2M\nrkM83iqVU7MTr+4t9eLZOc/im6O+iWfnPGuKa6BZnbfH5cF/3/Dfpme/yATpCOUBgHOLz03LeTOF\n2al4N7dsNvV8ZvNRy0cZ+6ynhadNWRWqaahBd7Dbcp6BEvGmhc5l4hnsB3kQL9S9kLVV3sbDjZGw\nvG6xG42HG1M+pzxJhFnGTDH8TyIT+ijppLquGhv2bUj5PP0L+1tWQynVcefKL1ZiZs1MHDqV+vg1\nm5jp2T6ldIqibEXDvK/Mp+k9oTYCxBqTu+BKm2anWgcmnaQS/j2gcICJLQlRtalKMTbmnEdN+Beu\nW4ixz47FwnULTftc/15/yucYUDggqxm5U2X7ke265US9PT87HL1QqvaqToeUzUPrHkrIM//KEVdm\nrH9LZm7jeIOS2R2w1Qd3EkbZiM4pOidmB2bGYDwZJEG29XvXY8H7C3LK/bRH7MGGfRvgb/Zn7fok\ngxmprvVIRyefScxOxTuq/yhTz2c23xn/nYx9lhnhK0JAwEvbXlJM5rVWeMwQY06X4ccO/cl5xefF\ntZ+0GpgNo5/a21BeTvb+SFcYpBqreeXIr6dZXp5HO45aNkNgMtkf1XQGOzG0z1DTPbQzycBe8QnM\nl/SK7ZE3Z8ycSJIEKyVBkeMt9eI/pv6Hou6OS+7A3MlzUTm1EmP6j0Hl1EpcPvxyw/MkGgKUCFrC\n4XLM8qYRAgK2Htqa9PHqZ4yBpXRPCAEB72x/R1HHwbFy+8pIeeG6haiqrcKuY7tQVVtlilEp1esg\n0d7ZjiUfLcmpOVIijCsZp1kWAgKa25sV2xiYYYZAub6jm7lRMaEiypEgHV6BiWrTZtIzMZm5jeMN\nSrGyRSSKHdzPAeMbt+GrhpgGpUzE5WoN8tOhg2HGy1tiReMKrNmzBvNWzbPMwDdVXYtske6MTYD5\nqXjvvfxeU89nNk9c9wTuKL8DRflFkcwq8aZnTZQ8V17KE2V/sx/dwbODBUmcVY5etpBEUbv2F7gL\nkjqPGqs+f3LiNRy7mAv57nyU9C5J+7OrRr3qL5VT0VJIp26JRP/C/pbyylE/b2Z7eVpRE8QMLUFp\ngvzhnR/i0WsfxYd3fmip+wKI9iLSG2fGynjkggv1X9aDMQYGZqkkKGp2HFF6ba3euRpCQMCSj5Zg\nb/te/E74HbYc3GJ4jnTqrMV6x5nhTQOY7wmVqseoXhKON5ve1Pxdq5zs53KeureryM+KWVuRyqmV\nyiyO4agYre/DweP2BJLGiHoGKzMpLkzMaJOONuix8ouVsXdS4XiDUsWECkPLZTJkYhCZbox0g+J5\nOM0eJKrRG+RLej9m6hSlIxU4kNmBbyrGFTNFyaNI0zgvE4J6QOrPunoVINffHUJAwF+b/hoRwDyn\n6BxMPXdqWkTbfzjxhylPiLSef/Vz52/2o6OnA0EeREdPh2kDrFQ1YSQSSaVuZRgY5l46F4uvX4wF\n7y8wPe10LNSr/lIoQK7r0hztOGqZxQlAGQbYGeyMmjDHS29Pb836dI890oEZ6canlk6Ft9QLb6kX\nD0972HLGJCDam2V0/9GafYvbbbyI4XaFtkuhzt3BbktOnIWAgHd2KL1g3t7+NmoaatDZ0xkRwY6H\ndC10xwoFMku7ylfmM90wmMo9oRWOCITCkiQG9FIupKjLyX6udH+nipmi6dnA7XKHFjVl18OM77Ns\n6zLMGauUrlGXzaB/Yf+E9pe08jJBw1cNCR/jeIOSt9SLy4ZfZuo5m1rNj7XMNKmGIpkdCqRGb5Dv\nLfVifcV6U3WKhvQdkvI5tMiUGJ6UQWfRB4swY/mMhCdoZoqSR5EmjeRMTQJT1b5Qe5+YoeGWTmoa\natAZ7IwYlVtOtGDDvg2mi11LbsdmoBZnVT937Z3tCtHuZD2CKiZUpMX4fLrbeDXeEsQxD+Dg2HNs\nD+q/rFcYHDI1ERQCAhZvXozdx3Zj8ebFphiy5Eki0pUpE7CWV448DFDkYtK6Oad7tJ8LM1JqZxoz\nhOiFFsGy4SsS6sWr3cd2a/YtY/qPMTxPkAex59gexXs9XQkl0omWN4oIEU2tTQlnRU3XYlWsMJwB\nvc2RNfCWenH7xbebci6JVLx/vaVeXDLkkqj6ovyiyO972/cqtknlVBZ4vaVe/GjijxI+TgsXc1k2\npN7f7EdPMJRRsCd41gPPjPt8eL/hUdclHdcp0YWEpzY9lbF3/KDeic/7HG9QAgDfSJ+p59uwf4Ol\nVgy10EtdGC/ZtHqbvULX1ZNaWnQ5E4dMxKxRs0xPjW3UQcmNAJ3BzoSMK0JAwKufvmpaO+1Gqs+J\nmqF9zQ3BtSJu5sZz33rOlOfX3+xXTEgmDpkY9dypJzGpeOSlI7Ti3G9YW7geQNyG43V71+HF+hcV\nBodM9SV6Rmi1NlYiWlneUm8kBOnmcTeb2l45VsrUox7wx6ubEy9Lty61nGHF3+xP2eDYLXbnnPdc\noqi9y/QWKk51nTI8j8hFfHzwY0VdJhNKmIWvzAeP2xNV39HTEVkoSbexOhYxw3BMXGu6aNBF5p0M\nqYfjeUdEj1Hki4J98vootvXJ65PyAi9gnl6jGbIC2aKkd0nEqCr3tDIrsZba2JgO6YHyweUJLUKK\nXMzYAlsy4y7HG5SEgIDfCb8z/bxWWjHUYufR5LMpAOkP3ZGv/KZbfDLfk5/UcYN6D4ry1Mp35+Pv\n/+/fAQCz/zDbFMOjXJPCt9yHe1fda9qAuqq2Kr2ismkYB1XXVeMf+/4BF3Ol/f44cuaIqeczMx1s\nOqiYUIF8d3LPgxEuhLRzbhl3C+6+9G7TUsd/1vqZ4v7d9tW2qGdOTzsnUdKV7SZT2YkyoTkWC5GL\nUdcwU2Gg6oGoVG473RaZvKWyomuWuzoDiwxCGZilM/UAofu7cmqlaZPiIA9azrBiVjhPrnu4xqK4\noDiu+2DPsT2G2/NceVEhKplMKGEW3lIvbhh7g6LOBRfuuvQu5LnywMCQ787HN0d90/A8Znr8qklH\nKJAeqUzqte6r4UXDU2mO5nhNLgj98LSHFdsenvZwSgu8Em2n20x5X5rtWZ5J5NfABfM8raTEWmYu\nNOqhp8Olh1kyLvEQ6x2rheMNSjUNNSlnsPKw6BUEK8bxyznTfSbbTYjJDyf+EPMmz0u7+OShE8kN\n0lpPt0Z1gL6RPnz7tW9j3qp5/z97bx8lRXWnjz/VPW8MAsOb8tY6Ii8Rg0BwAy0R2kVRIu66Zs03\nGz1k9yQLwkp0s/sdiCYnOcezUUdNULMujhJ1spis5xe+qCDZEUiLDgXoMMAoMoDDQMMwDMwLDPPe\nXfX7Y+Y2VbfeblXdWz0IjycnVHd1VU131b2f+/k8n+fhJs5NC5GvqVij0w3yU2Gva63zdW1O4C2K\nX1JRgqUbl+KLs1+kEwmPzn5U2P0xaRjfnmahelUcEI1EEf9BHOMGjeN6XBUqHpjyADYf2YxXKl7x\nXLnToqSiBOuq1hlep5P9Vto5bkH023gjCHciXsLklnAR+9KBskjGiTaJRrsAke1YYQy54VyEpTBy\nw7muAjrt98qrcPX9qd/H7YW3Y0DWANw5/k48c8czXI4bFLStocR965k7njG4WfUXBJForWqo4la4\n6Q+JYa+IFcaQHe5NlNCtylqkYL8I+9fov2LudXN1r90w9AYu16hFSUUJt8KgGeSEjHcOvqN7TYGi\nawVMqSl8UPOB7XFEFgXN5lgRkBMyntvxnOfPD8weqNPL1Qo5e70eszH9bPvFIuPUq6fqhKOnXj3V\nsnDhBto2fT9IKf6ddDMFrbsgTy0oCRJihTFuhUY7uHWBfXHhi4Fo48kJGa3dra4/d9knlGh4EehO\nqsaElGgNIdEoLCj09XlRFtrAxSD9lYpXULKnRGfTKQJEgNgvRuaPxOqdqw3X65fNFiuMISukT2pq\nWza0mXuSfWcFD7FQK4iomq3euVq3rUIV2nfMuzp3qbSujB86nuvxVKh4q+otXeWuuLzY1zGtniv6\nO9Y65vix0Y1Gorj/xvttF0JeIHp8A8QJk6fhIvalA2VRjBM6iXas5ZjufaINEo1Esfru1Zh//Xys\nvnu1q4BOm+z3W7giIE6hHckOlNWU4a7f38XluEGCdt8i9tq8wCv+EJ5o7QNPRrvfdppMgySU/TAw\nisuL8cv4L3WvvbDzBT+XZQApXol07aVbtgmeLX8WSaVXPyalpByTCypUYYmD/fX7bd/npV1Vuq/U\nV2KM/qzfeTpeG4eiGK9nXuG89L9L95WmGShkHqNlDdzKHMgJGc/veN7DFeshQUJWKOuSbXmjmcvp\nbZ/ELfIs8So02mHz4c3M+0qQAmNrex0rLvuEEmmdAnoXuP8+59+5HPdSVs4H/FMhRd748do4OpId\nvcLAqoLi8mLdZM67QsdLF+VM+xl0p4x6TDySCGa/F6l8aFlSbkWHebUemYG40vCE2W+VUsVVYTYf\nYZ8QvgogC6yPjn/E/dj0Pfzeofd8PcNWzxV9T9MMP6/3ysotK7Guah33avC6/fwqwFZjIy9hciu4\nCZqDouHHa+Npp6SuZJdhAUvMCOSEjOWblqOspgzLNy13dU9qXUdF6ZyU1ZRdUokD0hpKFsOl+0rx\nbPmzXM/Bq/2BvkdEzSM8jC9CUgiQ4LudJpOI18YvJkpctIKY4dSFU7ptKxF3r6CTgCJkLqwW+ypU\nhKUwwlKYKTEiUivH6fyHmw5zSbbVt/lr52xPtuuEzHuUHvwy/kvPY2esMIZQyPi3t/XY63uZMTTd\nwG2blBkIa+pSbnmj7wey7bfrQYWK4vJiboVGO7jpAFGh4vW9rwcy13vNX1z2CaVoJIpHZz+atr8u\n+7LM03G0weKlrJxP4LfVye/gbwezm51M5iIqiskUn8qyGbJCWb6TNsTtwAq07bgbG3KRdNiPjn/E\nfXC0asUSleDdmdjJ9Xj9XXuNJF+CCERU1V9VdcnMJaaJDJoJoV30++lRf2v/W54+54QR+XxEi+WE\njNibMTyx7QldSyzAV5jcDG4YI2aJFxGMV1rUc0jeEN37xOJ52aZluirzsk3LmM+hdR2dNmoapys3\n4lJKHNDPG8B3YROSQtwWz1bCr7yx59Qe38cIS2HUNtfqXrvUHIcJ21qE0PT0a/jKUNBJQBFuuNFI\nFBOHTTS8nhvOxW+//Vs8efuTePmelw0MdRq//fZvuRfvSHGCRfeRR1zDWx4BAD6o+cAXk8+seFR3\n/uLaySp5RPQ9vbCkYoWxdELIC4bn9bZZqVDRk+pBvDYOOSFj2cZlXPVXneC78E9PGX3bPGKFutY6\n8axtuO8ASSrJQFoUvRJC7EehywAlFSXpBcbJ1pOej6NCRUgKQVVV22qAnJARr40jVhgLpBfSK8YO\nHosz7fZ2oLYQuN40S9YRNoIZ28Dv95yblYuOlBhNqaSSROm+Ul/XqA16deiLx+iKiVMFRQuRdFgV\nqu+/nYYZvZqnYB8NJ7cZt+jv2msk4E+l+ItPW53PK+SEjNMXThter26s1m2TRb/fcXn80PE40XrC\n02ftcH3B9VyOQ1zMgIstseRv/c6U76Cs5mIxhXfrJRHQZE0chKVwOonjtk3XyzVJkIzs0b5LpcUp\nvYhVAr1t5HvrxWikXUqJA/p5q2qo8nysBeMXoDPZie3Ht6df+4ev/wO3OYUIsiuqIrRQ2JH0H1+k\n1JQhhtXquVwqSKnOLVxuEULIl16OGehF1+FGf0Y2VlBV43fx4sIXDS04SzcutTwG744BUrjtTnUz\nMXJ5zCeLpy3Gmoo1vo+jhZbJ53bMiNfGTf922jVcy/wlnyMsPJIgcHPuaCSKl+95GQ9vfNjTczIg\newDUzovX9PmZz/HLD3+Znv/WVq7Fh//4odD16cotK/Fc+XNQoCA3nMtVB5fHGB27PiactQ0g/Qyv\neH8FuhVnN/H+3qJ42TOUeDICSNbXaoC1qxD3NxQOKcz0JViC1gzSsny0FS5eD983x37T9zFEQutC\npAWp6FxXcJ3udXrbC67Kvsr3MQD+rjQ3DDMKb0qSJGwQ5m0Tf77zPNfjiUBgNGmfX23pvlLTa508\nwmhzHI1E8dPbfuorqHn6jqc9fzYIWFHEg4CZzpsVVKi4d9K96Tax7LCYdg2tqCep1urQd//R1tBm\nVtFW0M75Gw9t5K6vRXCpJQ60z5ufBUBZTZkhIZU4l/B7eWmIiCfMwENzMyyFcePIG3WvTRrO1zRC\nNHiY5JhBgeIrcUlDTsg4cFafxGVZEHo5z5HmI4bXifYKYXkEpa1CRMiLdxSnC7cs8QAP6YRoJIpp\n14hheXqJQ63GAm0MV7yjOH0/J5UkincUc2FEL5m5BGsWrfHE4qOTzrtO7NIVU3qUHqGMV0LiIEVw\nr625VlpUPMxRCnILED8a171Gb/OAnJDR2N7I7CS+cMLCQIgoXrVtL/uEkghGgBUtjVSIVag60eT+\nCLdCcbw/7wRt1YZ2KtBm//2ipKIEHx//2PdxrJATzvEtTG21WCNU5GF5w3Sv09t2sKJXXujhI1RO\nOyv5xdPzn/ZFB3YL3gtEOkjtb3Bqr+QJRVV80XutEiYLJ9gLqXulYosSz27q4POM0C0DowaOSv+t\ntJj92j1ruZxTC9bxOCSFsHDiwvSYJkp7SJuIlyAZFm7k+6IF6N0I0mvn/KSSxM1X3+zzqs3Bqy0y\nKGjdsfwmaZo7m3Xb249v5yqQzEMk2glm2opu8d2bvovOns70/JcdyubOyrmUwXNMM5uXvLoBuz0P\nALxT/Q5WblmJeW/Mw8/+8jO8Vvma7XG8ODbR0IqQbzi4ASEplNZxcgKvNh1ebF0aXtYr0UgUI/Pt\n2xy17W9kW9sGvXXxVs8JgiUzl+D7U7/v+nN0ApC0douEtqXO7Dn0ktCzcq+ORqJ4YMoD3i60D/Ha\nOMYMHqN7jd72Dugo+AAAIABJREFUC22xidX4SfS62i8u+4SSKDe2/kxLY4HfPlSRLm+0KJ2Wjlhc\nXqzTu/DjHEMmUN5ijgQDswfigSkPcMk4mwW76Yw6/ZaLuFi0uHxnTyfX40UjUfzbrf+WFtoHxLlE\nAcDN1/BdIBJnqaDBmkSxbK8UgLAUdj2Oav8OK80Fu2quHxbp+gPrXV0rKzqTfJ6RxdMW6yyMZ4ye\nkdabo9sA87LzuJyTYNWWVczMtm9FvoXKU5XpREyP0iNENyBWGEN2KNtSr4W3AyUA7D0tpuVtWL64\nRQFvkwvaHauqocpg8e4XvJjnZu0pIuC3og70uv/trtuNlJrClJFThOjmiIZWc4Y38rL4jWlmcRFv\nMwbAXpS7uLwYPUoPFFVxTNa/VfWW7yQrnQgYM2gM5l8/Hy/f87Iu3qKRG87lth7iXYAkYNGBMoNZ\nIkA+IafHSlojh2zzYEQTExC/ONpy1PAaz/UbianWVKzBmoo1+KTuE8M+XhIlje2NaVd2rayFnJDx\nVpU/PctP6z5F0a1Funip6Fa+yXltsYkFEiQsnraY+3xshisubx7hhorvF/Sg5XUQCwJPfvikr8+L\nFCWPFcYMCwCSPKHFxP2Ii4sWSG7racO6qnVYuWWlr+NotVG0IBRsmuHgRtyQx4RlB7eidE4gdNqu\nVBfX41rhwZsf5Ho8HgsLNyCVo3lvzGNKogTpavfyPS+7CrjkhIy5b8zF49sex9w35mLG6BnpgEML\nM6cMMkkXlxd7ZpHeP+V+5n3dgNczUtVQpUu2bz6yOe1gRS+G5ITMNWD54uwXzPuWJ8rx6p5X04GW\noooTQ6b1LbQgLTJ0Is5Nokm7QBbJcBEhWAv03ge8bejphenaPWu5M0t5aYAF1fLGu13qwJkD+PHm\nH/drWQUriGqpnjJyCrdjmcW3d95wJ7fjE0QjUdtkDStUqHjk/Ud83Q9jBukZGonzCWw9uhUrNq+w\njbf+fsrfc0lsygkZ5cfLfR/HDM/teM71d1NSUWKqfbbv9L60IdCSmUvwyqJXsGD8Aryy6BVu1vNy\nQubmjGmWCPW7ftMmPYiuLQH9fHtxugP6CkLhbENbfLw27nsMWTixl8VOGMwiWtXddiPcdu1tAMDd\ndMoMXvWiLvuEUjQSxX9++z9NFx5eQcSGaQTRk8kLdRf8ubyJEDAjiEaiBsccMtkV5OkZZxOHGx0y\nWBGUQLIfdyg5IeO1ytdMB9DuZDdKKkqw/dh23etuqg81Td4EaFkwbtA4bhMsgRmdNiSFhLANAP6J\n05ZOcc8NDbJYXFOxBj1Kj2MSRU7IePfgu4Fdn9uE7qqtq3R6Bc/teM6UTUWcTQi0i+Z3D3n/++6b\nfJ/ponhg9kAUFhR6Pi4P/QkA+NVHv9Jtb6/dbsk2480KosdlO6TUlMEWmddzpm21Iu2bat9/NMj9\nt6F6gy4R51aLRZL4O1bREMUILt1Xyt2GnmaK5GXl6ZKdfjF91HSu8wrPFnor9CR7nHdyCV6/lx14\nV8vjtXGkFDGGDwfOHuB2nWZFTd4GHQQDsgZwOQ4tDeEWRXOKDH8zMb+xwx8++wOX7z1eGzcVKOcB\nRVVQvMNdN4NdfEIMgYDe+Xv80PGoPFWZLtT4fWaKdxRzS7zS36kXZrgWNMvbqRh0z8R7PCcczcZm\nv0n/MML47/v/G6X7StGj9I7LInSl3HZnPH3H06amU7whJ2TPa9LLPqEEiGHTvLrnVcOAYRZI9VcM\nzvHHnuJtO62FnJBRdVof1E8aMQlyQsYHNR/oXvfjvHHo7CHPn3WDEQO9618QSr4ZepQePPXRU4bX\n3dzvPKt6NE62nuSeYTer9IqgohPwTpzyFvm2A1ks0rDSHirdVxpYuxvQK7jrhqb/ZdOXuu3allrT\n/RQout9Nu2hWVCUdNLutnJXuKzVdFLf1tPkSCnYb6Fqho0dfTe1KddlW3niygkhgxgptgYdXywTd\navX5mc9t7+eWzhbTSrAbLRanpBUviGIE09oWPEwU6Dll2IBhWLZpme/jEvA0FKFb6H/07o+EVIXP\ndZ3z9Xkrhhpv0wst5ISMeW/Mw+PbHse8N+ZxWSzHCmMIh/gw1ejkx/Zj27mx7AAj0+JQk5h4kZcp\njAJ/TM8N1Rv0fzPrcKby0VCKFcaExkfVZ6udd9LAjgVJxLYJa5q0e817Yx5uf/N2/GzbzzD3jbme\n2hDlhIz3qt9z/Tkr0HOg38Q+rRVcearS0NKsfTY3H9ns6Zm0kjfxK76fQoqrBp8VaDdAOwzKGYSq\nhirhjFni3ujVrfhKQglidEHMdFtonQORugd+UTDAn7aUSHYPraEEAG9/9rYp1ZGm6bqBn3Y5N/AT\nANsNKIebDqP2XK3h9c/PfM58fJGMGSsmnx+Y2cQDEFapffuzt7keb/qoYFhxtgjIxI0FblhKdPvh\nkLwhlvs+v+P5dBBjRj2WIHGlOafUlOeWHlrY0yvolow5kTlpDSHy/1rwdA7yWlkOS2G8uPBFLi0T\n9L3ktMjZf3q/6Zzipp02KM0xN2O6E7QsLppYxUPDhGZT1Z6r5Zr056mzQicJDpw9wDUpQfC1EV/z\n9fnOlHm1W6SIa/GOYl0Ff9XWVVzaMXi1PpolcHmxtsyOkRMS067OKwaTIPlKPNMagXbjmnYu4eXS\nGY1EMfqq0b6PY4WRA+0FtmksmbnE1AxBgoQVs1YgGokaXAt7lB50pbqgoFf3yksbYrw2zm28DEth\nUx1Q3vHy7HGzddu3XXdb+h7xqk1nJm/CqxVw7Z61lqLfvODG0bm1uxVLNy7VJXVFFKjitXF0Jb3L\nhVxJKIFv4GyHpvYm2+3+BL/UUpH252aT07muc73VLU0wEkLIl8uJmwyyL/gounjJxv+hip2CHFRS\njResgi9RFum8E25ODmQ8YTVBWrmKiWobtIObxLS25SwshaEq1mNYSr1I/z/Wckz3HmGTuA10Fk9b\nbNs67bXyx0tD6aaRN+m2xw8dn7Z9VqFyF5jXYsYod8EYWayoULmxb+iK8g3DbrDdPySFTBM1bhy5\naA06v8xfK+w6sYvLcWgWF83y+/j4x76TKXS8xSthSlB+vJxbwmfSsEmG10S0ks2OzHbeyQZm81Bu\nOFfomE3/jvvr96Mz2YmUmkJnstPTItGOcd3fIUL/UE7IqDhVweVYKlRfDCU37pZksStBwj9N/ydu\n4vDzCudxOY4Zpoxwx8aXEzLOtp81vE4E00sqShx1crwkU3ix+HJCOXj5npfx9PynubZk03Hl4LzB\neK78Od1rp86fAtB7f4RD3lrs6Lgodn0M80vnG9xavaAr1aVzgQ1JIe4sYC9rkvUH1qcZz8kUf5OI\nWGEMoZD3tNCVhJJA0A/WmfYzttv9CdcVXOfr83tO7QlUEPK6IdcZdBj8PBhyQsZLu17icWmO8COo\n6kU4XIHCHBCLctUg4B3wWlU36e9YV4X3Ab/PCY2gkttAb5uMWSBh5Srml0rsBW5cOLUtZyk15Zjs\nI8E1/R1IkBCWwmnaOiuikShuGXML8/4sCCHkW0OJ3Ot08LHz5E6d5pS2jZg8R7zGcK+JfVVVubWV\nLpm5BEVzijBh6AQUzSnCg1PtBfXHDhprakrgRiT3izN6MXKzZBQPJhwvQXh6PqFdJxWVfe6wAh1I\n87ZjVlTFd6BNWrcWTlzIVSzc6lzP73ie2/HCUhgPz3wYf/nBX4S6vA3MGajbDoVCuuq5l+c2VhgT\nakyRE87hEnOYFWNEFCB5slG0TlhBICSFkJeVxzXGG5QziNuxaLR2t7ra32kcXLtnLc62GRNOWkiS\n5DqZQnR//SaBupVuLNvY22r8/anfT7+eFcry9ZvRc+bbn79tYLMdbj6cLmR51Uz7slkvcbDzxE5X\nxR47kDb73HAuwlKYq1MhgRdCSY/Sk/4u/bawmiEaieIn0Z94/vxln1CSE7KwPnN6cTh5xGTb7f4E\nt9l6GrvrdguhhgNI98pqUVhQaAiG/dj8xmvjpg4OIuCHSunVzYb1nh+WJ7Ytk3eSYvQgc0q0doKk\nq/B+kkrRcXwDdlFMKjO0dLWY0mathOxFux7S8Nsj7kQJJsH1tQXX6l6fNmoanrz9SWxdvNX1goz3\nosJN8tcM2nu9rKZM9x4d7GqDPlVV8UrFK46uf6Khrfb6hZyQ8cLOF/Bl85d4YecLjg6WrT3mC4zm\nzmbmc44dNFa3PSjXuCDyu2DMDefimTue8XUMApoRSLPaAP+6PHRyf/bY2bhxxI2+jqmFXyYG0ZH4\n+V9+jhWbVxjed+v05wSzFn4/SKkpbDy0UXgBYNGkRbrtwbl69p0XHc1oJIoVs1YgPyvf17UBvRp4\nWsbqwzMfRvwHcS5JNrPEjAhWvpn4t1d4SV5o4TbWHF8wHqvvXs01qSlSE8wty9OJfTRm0BhHfdQ7\nrr/D9fcjJ2RUnqrkcl8oULB803LdXJhUkr7GDtrIp627zfZazeRhWEC3YH7Z9CU3mYIffuOHiEai\n2Lp4q+dY0A5yQkZ5wr1j4bFzF9n0fltYrXCo0bsW3GWdUCLuPhuqN/g6zlU5VzHtV3RrkY5CV3Sr\n93Ys0eDRLyrKZWRvvTFQaepsMp3wvAaWomyqzeCHleLZzYZxLmpPtns7PiO8JimsxD+zQlmGffOz\n8nWTAX1OP4mSwXl8W1iCaoO1q4pbCdnzsuJmhdvAhv4tnLRrSAWdTpp6bUsSxWp0ay+rhd29Pa9w\nXno+ogM+BUpaVNMsge8WfucBu7+DlW1YvKNY51i2v36/7f6tXeYJpWPnjuGh9Q85XzSAwqGFum2z\nFgm/yA5lczsWzQg0a7fxq8tj1hJx8vxJX8ek4SfQJjoSxEmHTvak1JTvmFELEY64J1pP+C6WOIG+\nV64drE/Me5kvSipKUFxezCXuiI6L6hir249v55ZkM4sP/YzTVqhqqArUCMMOhOE5dtBYJi2jI81H\nsHzTcr73oEDPEjcsTzkho/y4fUKgrrXOsM+0a/Tu1FuPbnVVsCEOamsq1nC7L/aeNq6n3BhP0Pj+\nzd/XbS+4YYFji56XZ2fWuFm67cG5g12bf5hh+jV8XULNwKOI4LdwYga/gu9fiYSSV2cJK5cjt7jQ\nfcH0dTpw2lC9IV2NVFSFa1DCG5uPbM70JbjCsZZjWDJziaEivPmwt78jyNYjP6yUlVtW2r4/cZg5\n26S2uZbp+O3dYhNKXsTbtTbvNAsuN8vYjkI/43Sg6zbw1Y438aNxV591glW7GW/YTWhWQva87Ovd\nwE2yz+1vYVVB/zjxsSdh2XhtXMjvR7cduYHdvf3Hz/6Yno/s2FzvVL/jm6Xkl3ln9Xewsg3lhIx3\nDr6je80pyM3NyrVsi1tXtY5poURrEIkQ0mzraePGIqM1oxo79IkZCZJvdg6d7Hl+x/OmzC0WmFW+\n/dpeswipP1v+LLfvXKQjrp+FoRPoRNhHxz/yfUyeLFj6Xj5w5gC3JJtZwtKpvckLeP5+fltB5YSM\nX8u/xsnWkzh14RTTZ1JqCss3LefHchVkGPLg1AddsTxZEgK763Yb9jnXqXdzdPubEAc10fDThnzD\nUL02YVtPm6Mmb2eP+7iJbn/84uwXFnu6RN+UYuZiyQs82udEMJTitXFf+smXfEKJZGwf3/Y4bnv9\nNleThUj6pFm/8lv737Ld7k/46Jj/4ADgz+AAgII8o67Khe4LWLllJU626iud7x56N6MtGyxgTe6Y\n4fXK123fP9xkzjaxslSnERkScXtJruBGI4dAa/PelerCY39+LP0bdyedNUpoLRU31QhtO8T80vnI\ny85zff12CEoI3q4qvnCiuTA4bwFAFrhJ9jV3sLciAReTmbQIuaIqaXaCm795eP5wIQmDkfnu3Ge0\nWDJzCRaMX2D6HmuFjIsbo4+vJT8r3/IZZWUblu4rNfw2TsxiCRL++NkfLd9nWfyKWGTSUKFyezad\n2j7GDhrrm/pPV1VTasqUWcqCsBQ2tMt97+vf83WNLEE6z+9cJPPTj8utE+gEPv18/eqjX7k+Js/v\nwkpDj0fSyowZMGm4UcDdL3jqi4WkkK+FLO1YxgqtAYYfyAkZ7x953/dxzOBWm8mrq+bxc8d1xh1u\ndRqDgh9zmF/Ef6Hb3n5sO8KhcFqb0gwN7Q2uE70iGIFAbweMnJBRXK53seTB1OYJrzp1ViipKMGG\ngxt8xbCXfEJJm7FlzYYThoFIweHcLKOIF+2S4MY1IWhY0f3dgkf1jWagmVW7GzsaTRN0Xqsyi6ct\n5up8YAc/bRBeA3FWwXIzDQ1ekOCvp5/gk7pP0mwSMxtXOggirUk1zTX4tfxrVxNZvDaOrlRvO0RX\nqgtTRkzhep+IdEfUwu65tGInBtUGGpbCGHXVKNz3tftcsaLOdLhj8hw629srTrOKvIpyixI83XFi\nh+ekuJyQsa12G+cr8gAfj0jh0EJLFjLNcHTDeHQS1D/Xdc426cay+KXp/6LA69mk2whonGw9yd3l\nDXCfDCZIqklDZfoPn7G7mJphw0E25jhPsXgngXivsCoO8IBTsurYuWOuF4lTr57KrYXT6tnlkbQy\nu4cnjeCfUOIpi/HyPS/7SrQeOON9Ac/jWYnXxtGT8t/SZAa35IIPaz/0dB7tYj0khfDiwhdd/SaL\npy12ZQrBArP41U8sQ8s2nO88D1XtE+C2eCZrW2pdswePtxw3vDb32rkYN2icuws2waotqwwO1zwd\nr3kVI3ixWwnTe3fd7ss7oUQPBE7ZcG27zMfHPhZ2XStmrTAMFE/f8XQ6Ox1CCE/f8bSw8/sFqy6U\nE7y0NGlBM0LkhGxJj7RK0HkNtoNKKPmxQrVqaXNCMpV5a15J8vb9Lp62WJdIU6GiK9mFeG0c57uN\nCRkVqm6iIhoZChQklSSWbVzGvAAZnj9c17Y6Y/QM/N85/9fT3wEAwwcEp9WlxciB1qwXKxvvoBxi\nUmoKDW0NeLf6XVdtZ3lhPVvMSaCRaLHR9rMqVNw7+V7XQoyiEm5JJemZIRSvjXt2UdHCb5uTHyfL\ncYPGWba40glYq4SsGVPWKXlrV41ndd+7b/J9jvv4BU/3prbuNtv3eTBzzBZvZuO2V/h1omPV2eHZ\nqiaicCPa1atoTlF6Hg5ZLCXcsoF4uprRGJY3DK8seoWLPooZO2Jj9Ubfx6XBU1jdb8v6Z2c+8/xZ\nHs+KSCbPpsObXCWh/ZAB0i5dquJaWiMaieLFhS/6Yi3TMFvr+Yll6LhegcKsbbR652rm85jJC8yO\nzOZC1KhprjGY01iZ1XhBrDDGxT3U7/qagFer8SWfUDJjGdk9DNp2GQWKsKSB1eRCdBuc9BvcwquO\nlBWGDfDv7iVB8tTSpEXpvlJ0JDuQUlPoSHZg0VuLkBU2Z+XMjsw2fd2LjlK8Ns5dDNHqu0icS3g+\n5rB8b78Ta7vL0Zajno7PAlX1vjihB2NioXmk6Yjp/toBkw5MFCjMdFY6AKg8VYmyL8ss9nbG3RPu\nTgflfuxa3T7/VsLbgDHBQsBrEmSBoipQVAWdyU7me+Saq64xHMMOx88fR0lFien4UHmq0nU1t7G9\nMbAkNCt4tOHx+Jv8JKTKasp0La7aZAG9sLOiwZstaMzESFnBmlhZtXWV53MwQ+Kz2JITMtPf5Ddx\nKnJO4YEhuUOY9uPZnsWrYp0Xzku7m5mx5HmC2JcvGL8Af/O1vzHdx+13FCuMeWZdO2HhxIW+kklE\n/H/llpWmkhAiHFp5aij96N0f+Vof0Po/bsBj4RuNRA36PLzQo/S4SkI/eLM3RmF2WM++c3vPyAkZ\nj/35Ma7mDq3dxm4UPxqydLzgRpPHTayRl2WUm3iv+j3UNNeY7O0O8wrnGWJku5jZLaKRKKZe4z7B\nWzikMP1vHutrAl6JqUs6oSQnZGw/tt3wul0CQaRukha0LgfQmxzR9mTyckCzEyn2Ch4U1bysPF8B\njZyQ8Vrla7rXmjqbLAfTtz9/2/T16sZq1+cWEYid6zKfkP0MgF71l+ZE5jDtx5PmSUOF6ul7NhMm\nDEkhbD682VIgXxvYRiNRXH3V1br3vS4uD5w5YOo6yApi12rXX+4EMxafE6y0GZyYF7xsWVnhpk/c\n7XOkqAqWbVpmao5w7Nwx3PX7u1wdL1YYE6Kh5MemnAdDgYuGEkdo53CarWrFXuWtU8NqwU1bKIsA\nD0ZHSUUJbnv9NqZnza9hhQinOy1CCPlKYJ7vcmZLjcwfyc0JSE7IKKvxXpTQojPViZSSwuirRpuy\n5HlCTshYsXkFPqj5wJczEA0vOj0sWFe1ztHExApa8f/i8mLTcT5Lck6EuS38mC2aveLA2QO49Xe3\n4u/+5+88rRH8zP08Fr4rt6zEkWbzgmHQ8Dqv0i17bpm7xPhDRJyhxc6TOz1/lpadcJMgfnT2o8z7\nTh9lTIJUN1YbdHS94KaRNxliZJ56ZiUVJZ7WDbXnatP/5qmhxCsxdUknlKxYBW4WwaIezPq2ekM/\nKJ3M4pXcokWKeYiHjRvsrw917nVzXbeM0HDbrnG69bRphjsnnOP63CICMat7zavDjZyQPSdCWBM5\nN4680Xknj7CiydtBTsj43d7fGb5LCRIONR2y/Bwd/BvuE8ZhgHZutDsnK5JKEipU9KR6PFWqtTbX\npPWPwCqAtRJdVKBg1RZzVkW8Ns7FltUtWOnyTu06ZrBbjJfVlLnq6Rfl2vlvt/6b5/GIVxteSUWJ\nq0UIqeaT74+noKXWtp4WsbcStZ969VSu7LrI4AjTb0LrzPAK3Gj4SfjJCRnLNy33bWPMgpKKEi4t\nmHbw2kpNMCBrgOM+Z9rPcLND5212oEDBidYTKC4v5mvZToEUduy0UV7Y+YKrYxaXFwu9D71+Jywt\nIdNHTTeMe9ptL4Ufrwx0O2w4uMGTa9WMUTOcd7KA33tcTsh4tvxZX8dwAh3b2cHr30PHrWbsIDuI\nMv6gcfK896QMnZBnSUSGpBAWjF/gKklvpQ/H4/sZnj8cRbcW6boHeOqZ8WIePlf+XL8hkACXcEKp\nrbsN7x0yr4rY9TrSdGuRLQr0JES354kSBX+n+h3fgcTssebtY6yg9Uy8wO3g2ZHqwM3X3Gx43a2I\nnZyQMe9177pGbuF18PYzSbMOIKLEQoHewNft3xCvjZtWMFNqCocazZM7dOVQTsg4feG07jWzaocZ\n6Oq8F7tTK5C2PbfQ2lwrUNDS1YKnPnoKJRUl6QA29mZMpxVlV2GrrDdnIJg5m+Rn5bu+XrdgZZew\nCs27gZuJf/2B9dzPDwC/kX/jOWjgpaHipi1UW80nQps8Eq8E2sCffuatxoDSfaWGhaof8c661jqm\n38SsuOUlkS4SZt+NHbw6t5L7QkRrkBYpNeUrwXbbdbcx7cdLd0JkWxrPlikaLL+j28WdSEY0gdsk\nF8A2B+0/vV837j20/iHddvGOYnQmO5FSU8yt3H605+zgpUPi+DmjCDIrPq371PNnAXOXTt5ww7zc\necI7g0eLTYc2udrfLzuUFV4LyXJCNujhsRQhFVVBWU0ZE4OQFEkrT1Xq1u8SJG6C/qK/Z69sJzpf\noUDBY39+DCUVJb4kbzYe4qP/1r8iGxdo7W61DILseh3pCUvkIEX3JdIWwrwshenMugoVD2982FdS\nyU223gxlNWWIvRnzlT318lDvO73P8JqVJowZSPvg9uPGVkpRyM3y5trgh33ASlFft3+d53M4wYuN\nrVYUm4YVVZ6ukMRr44bn3qsbjlkC0w+86H01tjem/0YJEp7f8Tye2PYElm9ang5gu1PdeKXilXRl\n1O7esRJsN7MUv2XMLa6v1w2+OeabzFWrEQOMDn9+4Wbid3LI8go/lrU82Q+si71f/OUXhu1Jw/g5\nIGmTZLSAvJWgvBkb2A81PqV4s8I+13WOe8whQfKlvUa3lTvBq8CuyOQGDT9JK9a5wM7YwA2ikShz\nQcMt8rL5tUwZwHAbPzb7MVeHdBOreYWX52/JzCUomlOECUMnYNo100z3aWhv0G3TMVblqcr0uVnb\nVRZPWxyYbqEd5ITs65nyGyeITkK7hdeuAhotXS3cdG95QYKEp+d7M4wymxPdJHmcinJalt/v9v5O\n954KFbPGzuIiWL7z5E6U7itNryn8GKMAxk4Bqw4BJ5gRYHbX7cbSjUvxs7/8zJWJjRa0M59XXLIJ\nJbs+a7tFAG/LRTvQLjJ065WXViwzmFWhVahYunFpRivb3anujGtvhCQ2Nx4C0j4YJLzek35+I1Zm\nXtVpfi4jNP5m0t94Ej52i26lW/ccxApjhr+fNXmpDfDCUhgP3vwgV8aBlwptrDCG3HAuwlIYISmE\nlJpKtyFog2fihle6rxS/+uhXlsejxa0JzBIme+r34MYR4toiK+srmccwr7bNdgH7pOHsxxTh1ETw\n3qH3PI3lfivDWrAu9lo6WwzbRXOKuLCBs0PZuiQ0a8ubGfwmdliS4bTWm9r3H09MGDrBc0ukNmhm\nhVc9KqHJDQp+mB2sSf11Veu4tJTJCVnYPDssj3/LFIGZTqgWrE6IWpDEjcjOAbdJLqD3N3pp10s4\n2nLU8reiC110oXBgzkDdNmtiVlTR203R2G/Lcn62PyazKKaWFvVt9cxzLC8mDOCu6BNEglGF6tld\n0GxOdKO95VSUIxpSpEhKPxsfJz7msnatba416Eix6EqZSUzICRmxN2N4YtsTaZKFVwaUnVGUoiro\nTnV7KnTxmpuZf2lJksKSJFVKkrSxb/t6SZJ2SZJ0RJKk/5EkKafv9dy+7SN97xdqjvHTvterJUm6\nS/P63X2vHZEkickWxa731M0iQCTorLqohJJdYGulh2IF8kDw6qn0Ay6Dp+puwA5KtF2LKSOnuP6M\nnJCx++Ruz+dkDSZELgK8sIK8srJIYlNOyCjdV+rZwW9D9YY0MzKlprByy0quboBerEmjkSi2Lt6K\nJ29/EvdOvtd2XwUKSipKcOzcMct9fnrbT01fN0uYXOi+gC/OfuHugl3AFTXfY9xt1+7zXvV7zFRi\nXnpFZlAEsYiHAAAgAElEQVRU9+2hgHVy0C3cJObp74Fs81gY0Ys2rSYRT9cTJ3zr2m8xJXG+NuJr\num0RC+XDzYc9JRu9sJPCCHsWo54ywv085wV+ROwBd7p4yzYt880wiNfGA9Gv4gUSI57tsGfYu2mT\n1R77pV0vBaIT4wbx2ji6U91IqSnL+d7s2SbFphBCWDRpke49lsRsvDbORXTfDKwLbzkh453qd3yd\ny49xCeC9zdYN3GhLDch21lljgQQ2cwcCbfwpEl7ZpNFIFINy9OytriR7gb6tx14Hs6WrxXZsUFSF\nSzxeMKDAdUeRWeII0GvNiSZZeOn6AIBrh1zL5/wu9n0UgHbl8AyA36iqOgFAMwBSvvwhgOa+13/T\ntx8kSZoC4HsAbgJwN4CX+5JUYQD/CWAhgCkA/qFvX1vQavla2GX+vSzePYO67+nFopfFoxnsxGAP\nNh5kPo72gXh+x/O+r8uPDTrQOzjdO8l+gewEt7o0WsHXoGCl+2EFOSFj3hvzfIkAn2k7w3SeM+3O\n+3nFI+8/4joY99PbTOiyayrW6F530zJCU3JpNoZfeLUmrWqoQrw2jknDJzkmYZ0mXKvEgUitDzuw\n0t1FuEcdPHsQj297HHPfmOt4r4rsu1ehekpYcdNQcpHQGpw72LDNK4ii9XG0hQ+7NhLe4/rsCJvG\nIL0f7YDDC14YBG5NLwAgK+zd0t1vGz0rhuQO8cTYIomSnBB7oc9roleLWGFMGOuAt04nmUN/tu1n\nOHjGObbcUrNFp93nBJK4EQkv2ldk7JX6/jMDzVopyCvQaRuWHXHv5CeySMF67OId5q52btCZ9Kc1\nGT8a9/V5VrC2lzsV7lgxdMBQV2OVKJ1GGl7dBeWEbCB7uEnwbK+1lxpxug9CUohL0ea7N30X8wr1\nOrr0Ng03iSM/62I79Cg9rtllckLmpgXLlFCSJGkcgHsAvNa3LQH4awD/X98ubwK4r+/ff9u3jb73\n5/ft/7cA/qiqapeqqkcBHAHwzb7/HVFVtUZV1W4Af+zb1xZ2WVreFsFeQQex5Yly220vkBMyXquw\nrjK6CY5YXDvcIKkkPVMngd6/rbqx2vd1uFnoBVEJoXGu85yr/Yt3FAfithWvjUNVxVUKvQhD2jHI\n7HqnZ4yekabL0ijILWCe1O+fcj/Tfl7hhRFGWxoX5PljaVgFVNFI1FI/QiRY6e68GJ9akEA6qSSx\naqs921O0zoOXhFVS5WfBzcpaNWPiivpuNlZvtN0m4D2us7ar0AGwqAS9F9FzL45BXakurNyy0rX9\nOdDbIhYEmjqbXLeiabU5zHQYreC1IqxFNBLltkClwdM0ArjYcqJAzwSwSohd6LmANRVrcPubtzPd\nK7HCmJBxXAu32ldyQsaKzSvSLeRWz8yYwWOwYPwCDMgagAXjF2Bo3lDd+3ThkIUFwqsg4OfY1Wf9\nx+B+nRdFJxm1YJEd4MWEbe5odjWGBuWy69Vd0G9y3UluhHZNpaGqfFrKC3ILDIx8r5IGi6ctRm44\nFxIk5IZzhSWTCNwkzMm890ndJ1zOzcpQWg2gCEjPIMMBtKhqOlo9AWBs37/HAkgAQN/75/r2T79O\nfcbqdVtYZVCd+rZpoWyRoCtyLR0ttttuQW4GXlUoEUG/VycUwpbi0U7zWuVrzIO2V8FRP3Cq+tLB\nO48JnsUSPVYYQziUeUFILeyYBnaLtcb2Rku67HUF1zGf/5k7nkHRnCJh7mZyQnbN2nrq46d0235Z\nU3YB1fK/Wu7r2G4RQoh5Au5WvAWdrBpY++v3274fhM6DWwzO4ZdIYR0bzTSUeHWw0PcD/TxbBZO8\nK9ysi9KgFkJeRM8b2xs9VXPX7V+HeW/Mw+PbHndlP76nbo/rc3mF25YNbUuTmwUJj3YkOSFzc9mh\nwVvk2ioJqaiK7TjalepiWmxGI1Gsvnu1n0t0BAs7W4t4bdy2I4JgQNYAlNWUoSPZgbKaMseOBBbD\nB1EMJZZWqzRjj0OC70L3BV+fF51k1ILlmTFzvPUCFaqrJExDW4PzTjzgcb72m1y/72v32b7vJJPB\nI5kUlsKIFcYQK4xhQNYAhKUwBmQNcPzbrBJH0UgULy58EXeOvxMvLnwR0UhUaNubG0INmfd4tRg7\nRtKSJC0C0KCqagWXM/qAJElLJEn6VJKkT5M95pVXBYrtj3XoLD/7YifQFYDCgkLbbbco3lGMjmSH\n7T7fv/n77AcUQEbxurgtLi/mFownlSTzoJ0JdpsdQ0lbOSUK/lYuXG7hlOyLRqJCBZcB920QXtom\nSBXZytnO7WD6zB3P4JFZj7i+Dhb0KD2uqzx0b7dfdqFdK65I1z8z3HzNzczsMbcLBQJW0Ugn3QTR\nLT1ejs+rNx5gHxvparTf6rQWNH2eFti1EtzlrQW3tWar4z5yQsb+BvskJC/Qgr8siBXGXAmmEgzI\nGpCulLtyIBSns2yAW1tmP8UTv4sDL62HrNh+jK9brRVLUoXq2NpilRyhC2YiWTmA+6KymYmHGWqa\na3TbZ9rO6BhLdDGGxelJ1Hfh9Nxr487PGj7zfT6/sbwbswW/YNEK5OWemhvOdZWEcSty7xWZkP5g\ngUhZAQISP2u1Sbcu3soUh84aOwtjB43Fo7MfTe8vJ2T8ePOP8UHNB/jx5h8Lc/WbMHQCXln0iiuN\nQ94yFizRxBwAfyNJUi1629H+GsALAAokSSLUinEAiAfvSQARAOh7fwiARu3r1GesXjdAVdUSVVVv\nUVX1lnCWt8nfCzXcK+gWATNtCa9YuWUlNhz0rqFjhtpztVyPBwBHmo64/oyckPHuoXe5XgdrpWfJ\nzCVYMH4B13M7ISfLuvoSr42jK9mFlJpCV7K3yueURGSF0wJRTsiu6P9e4DZg8tI2ERkcQTQSRUeP\n+fd2rMVaoNoMckIWmlhxW/3ircuy+fBmy3aWoBbIBLUttUwTsB+9L9YE3DUD7QWuWd2hvMLL4mLY\nAD4uT2EpzBzMXjv4WuM2x2SCNpjX2nkXzSmyDKZ4C0KzOAKZCeoWDinkeh0Eu07sAgA8tP4hDH9m\nOB5a/xDT57y0NNP3FKsz5YRhE1yfyyvc2jJHI1F8e+K3PZ3Lr5GHSCYwDye6kooS3PX7u1BSUYID\nZw94OkZICpmOX2YFM5G6QYB7zUoATL8PzdA62nJUx1h6tvxZ3fssi2ORLYB2SREtY4+H/EVkcMR5\nJwvICRmrd4plrWnBYmTEq9j991P+3pWGklPLFy94LY75TbRZFX0Jdp5wdlrjgeWbepO/RJvUSbpF\nTsiY+8ZcbD++HSdaT6C4vDg97hLncBUqulK9Lss8295CCCEshdGZ7MSXzV+6/jxPkXfHhJKqqj9V\nVXWcqqqF6BXV3qaq6oMA/gLg7/t2+wEAYgPwbt82+t7fpvZGLe8C+F6fC9z1ACYC2A3gEwAT+1zj\ncvrO4ZhNsKt62ukleKGGewVNsz9+/rjtth20VRw5IeO5Hc8xfe71yteZz3HyvGkezxe8BJEinC1Y\nF2MlFSUoq3EvnugHfzvZWjJseP5wnbDj8PzhjuJwLJAgOS4Q/VrFssBt8OjUdmSGY+eO4aaXb0JW\nyLy10M29RgLgk638nxWCD2s/dLX/nGvncD1/U2eTLsAnKKko4S5C7oSWrhYm/Q0/gQwrQ80piPTr\nZOMETwstTomclJpi/o5p44spI6dwaweUIOkKNWSx8WXzl1i9c7XlfSJCt8Dp+6B/LwmSpYOiX8wa\nNwsPrX8I66rWoamzCeuq1jkmlYrLi1074oSlsKElhLWtyk8BzS28JF+93qN+q/nRSBQ/mvEjX8ew\ng1fHJkCvz7d041LPbBXSRkIjXhtHV6qvYNa32Hrsz+YsQ16oO8+WAAV6x5dfxn/JpF3TrXTjvsn3\n4cYRNyIshXG4SW+wcaTZfXHVT6LTCiGEkBPOsWUnkEQWazu4E75+9dc9f5a15ZAXWIpmdi7jdqCZ\nbn+o+oMrxsquk7s8ndctNh/xVhzzy3hxmiNExt1aHGo8ZBj77BLz8do4koq+c+SFnS+IvkwAQGRI\nBCk1lU5krdyykvmzvJh2BH5Gi5UAfiJJ0hH0aiSRWWstgOF9r/8EwCoAUFX1cwBvAzgA4M8A/kVV\n1VSfztIjAP4XvS5yb/ftawvamlALO60HL1blXkFretACiayCiSu3rMS3Xv8Wntj2BOaXzu+1PWdc\nBCsKe8B440j+7U2n2067/oyIChXrMf0EX15hdy83tjem6ckhKYTKU5WencC0cOrdlhMyttRs8X0e\nO0iQXAf+Xt0nDpw5YBnQne8+78qFxq9jiRPGDx3van8e4v40tIw4Aq96aH5BFhp2EF3VBoBJw+2L\nEfnZYnS1CLwskpva+bk8sTLn6OrmjNEzuIliq1AN1T8WZ5VoJIqJw/i4qhI43XP076VC9VRBZMGg\nnEEGhpwTY46VWaRFSk1h6tVT8eDUBzEsbxgenPogM8WeR+sMC9xacRN4vUd5tLqKNAPxw6ag46EL\nXd60cGaMmmHKxBiePzwdyyqqgvq2ekdhXr9gbZ8ixSPWOCilprChegO+OPuFZdU/LIUhQUJOOIc5\nyc1bm0+BgvtvvN+WGUO0rLi1K/s4jBfzAD/ICzvHmF7Naui/w0mihYYVy543gmgtM4NV0ZcgKIbW\nxOETDWOf3drQbL4hmsT02D44j5/rbVgKGyRT3JBIWNt5WeEqoaSqalxV1UV9/65RVfWbqqpOUFX1\nAVVVu/pe7+zbntD3fo3m8/+hquoNqqpOVlV1s+b191VVndT33n+wXItdQsWuR7qxvZFb1t0JtOg2\nrZxvpqRP95OXVJT0VhJVBSpU14vZQbnWyQoas8exWSG7gZcBUETfOKtFvVvtBR6wE0OPFcaQG85F\nWAojK5SFtZVrsbtuN5fzHj933PQ7IYHUhR5/QopO8OKQM2qQmN5u1gHeStibJx68+UFX+/sV97cC\nYcQRuHXH4Qm7thLiwiMak0bYJ5QWTV4k9Pxuk2ZyQuZiakBA2qqcQAej6/avQ8mn/tpuaJDgjr4v\nrO4TOSEbGAN+4RR0mwVrboI9N3it8jUDG/iWMbfYfsarLsmtv7tVx4RiaamSEzKaOvha2Fth2qhp\nrtpIgN6inVdGrvY+8OJ+B4g1A/HTMkXHQ16ND6zuNfoZampv4s5Op8Hq0EXavtyy+Oww59o5WDpz\nKeI/iDPfo17ZMHZ4q+otx3u0sb2RWzuM16SYnJCFM9ZosKyDeLYJvbrnVebxonBoIbfz2sFrksEv\n46UzZb++jY5zfmZ4OPD91z3/ZUhe2SWzopGogRiQ1acIRI/t6w+sx4Ez3lqHzUAzo9zoKVY1VHFd\nzwSTWQkYdjdUrDDm6KrFC/QPtWjSIttts35yOiuqQnU1wUwfxS5AyNsJBwDuvOFO158RwTZgtagv\nurXI0gJXFGqba23f/8G0H+Cfv/HP+PaEb3O1DX2l4hXE3owZJjNCQxeNeyfd6zrwF5U8cQJZKDj1\nePuFF9bWVTlXCbkWWvdiz6ngXJpo2LWVBEWJdxofeVkJW8HNfUHmEp429bPGzWLaj06Qbz++3aAn\n6BckuKMdTq0cT0W07zpp55gFa2fbz1rs7Q9JJWmIC5yYjusPrOdybhbmokhXGxo5IXcJFDkhG/Rt\nvIA40z6x7QnTedUOIt2H/QgaF91a5Em4ncbzO55n+j5Es38BtvhSTsg4fu44l79di+3HtmNNxRr8\nMv5Lpv1LKko86UY6gcVdjGc7jFcWX+m+0kDuCS2cCkeAd4aSGdy0kwfVNuxm3aiFX/e77qR9wtrp\nPpIgcdGj21C9AUVzLq4Fw1IYRXOKLPeXE7Jh/iXjDD22H2k+go8TH/u+RqD33qEL/9+96bvMn+fd\ndXDJJpTsHHecgleeFC870Hbk5zvP227T/eTx2rhpVpS1Ugy4a/Hz2k5kh8T5hOvPiHb5sEM0EsX3\nvv69QM9p1RdMFoUlFSV4rfI1y8WSV1i1iWhp6KLgNECbQU7IwjR8Nh7aaNl7rE30Hjx7UMj5CVSo\nrhOq57qsXQL9gHYgCWrcNINdICFS1FYLJ7q16LY7N2w+IubPE3atuVrwbtEwA5nXWNvIvbR3OcLh\ncXjqo6cMr4lkN9JsYDvmK9AreP9VxO663cyi5EDvotXP77Ln1B6M+/U43P/2/UztlzTkhIzndzzv\n+fxaXJVtLC74EbKNRqL4h6//g59LAtC78CneYUzq0uN6QZ7YpDzgzCzUxl08C3halNWUMd2jItvM\n7eYr3lqiXgwr5ISMV/e8Gmi7G+DMFpQTMleGEsAeO7g1kPEKt7E5gVv9TxpNnU22iefG9kbbOFSF\nisYO/+tHt8UWs4TgyfMnLQXlRa2vJEiuCpu8CxmXbEKp4UKD5Xt2A4KZeJYoDMvTt7TRDhn0Nt1P\nPjx/uCEhlB3Kxv1T7me+BtbkjJyQIZ/gb2foRURZxMIsO5TN1LMuqiJkh7GDx5q+ThzdFChIKkmU\nHy8Xsqin6ZdB/P0pNeXonKAFCfJ4Mx0I7ATttI4nQQQ3LM+strWCd+IA6B27Vt+9Wmd9GqQwJg27\nRUA0EjWwPUXAKTkvWnfAzfOiFfMPGjw0ZZxAnhGafWHFxmAVjnYDJ2bp2Q4xbCQr0FVlu8SenJCR\nVPnEQbRduhmCuCe0cOOA69elbXfdbpxsPWlsv3RI6BHEa+PcFqjXFlxreM1LDEbAMx6qPltteE0r\nQRFCiOle8gunOFdEq5sZWJIsTk68XuHEhOadyPJiWFG8o5h74oYFTt85byFjgH2dFkRRz885eDgO\n27GJg9LTun/K/Sguv3j/pdSU43XRGJw7OK3xGBSyw9muCo+8WfWXbELJjgZpl3WLFcYchb94gdYM\nONN2xnbbTFRTK8oMAPdMvAf3Tb6P+aH//f7fM+1Xuq9USDXGC3NAxMIsOi7K1F4VpD0pgRWNlU6e\niEpo0M+SnwDUDR7e+LArMWwRiRMaZpUJMmYEMZmz6ErRrbEixrOmziY89ufH0q6S3/rdt3C4ma8G\njRu8Vvma5b0iJ2S8e9DRGNQ3nMYlvwtTJ7gJ8ul5gwdYRWSDYJiSAK4gtyD9XNpV56ZePZX781t7\nrtb2/SDGKy0G5gxETjiHSfSX56KIxUQgaNZxblZuoOczBeNUHSuMcdP1NNPm8MP64ZlYaOxoNOht\nEQkKCRKywlmuiqVe4eQUFdQagaV7YMnMJZ7bj+zg5PLGPZHlYejdmQjGIp6Gk/uxiII3axJAxL1A\ng6Ud0go8dHgPNR6yfM+JocQDg3IG4Zk7njGwmq1YzlY6X0G6mhK4bcXkfS9fsgklO/y/A//P9v2g\nKJS0XsLk4ZNtt+kbtrqxuvcH11zu5iObsWrrKua/QXSLjiM8fNUiFmbbj29nEg8NykVBi+Mtx01f\nF6FpZQa6qh9URl2FytwWEBTjwkonhojii8Yd19/hmPgkTnPEiU1EqyqAtMvbqi2rMsZ2IUgqSdOW\nCcCb/bkXOAkp+rUPd4IbejIR8+eFnFAOs95ZEI57a/es7dWsKYwhO5wNCZJtdc5vW5MZnKp7KSXY\n6nrZl2WYPXY2xg4ai8dmP4ZoJGopEs3zN2JpQ+btJuOEudfOZd5X9HPrhGgkihuG3SDs+HOuneP5\nszyNGBraGkztt1VVhQoVqqrivsn34ZtjvsntnGZwem6rGqqEs3HHDRqH/77/v5n25anXQ/BP0//J\ndjxfMnMJ17giW8p2/ZlMxRxOyRTeBW83mq3tPe1cz20Fr50ArEUnO9i56QbBUGrtboWckA2sZiuW\ns1Wxe9LwSVy+DycMzR2a/jerVjAB70LPVzKhdPy8+QId6KMXBxTo0ZMSXZGgt+kb9lDjISzftFw3\nsPYoPa4U4rPDbAO5KNta0U5hbsDCPhKl0WMHK2eDoCwyacHMIGnGrG0BQVQmAHOdGFHsPTNsObrF\nkbWldZpToKC5s1nItShQsLtuN/bUZ06MW4u68+YVokNN1hUtnnASVBbhxqOFG3oysX3mZTDQrXQz\nJeSBYNgou+t2I/ZmDFUNVTqGEg2SUOHpqkLgtFCPDIlwP6cdzrSfwfbj23Xtu7e/eTue2PYEbn/z\ndt24wnNRxFqACELnjIBFWJdAVOzDChEOhFrQTHg3ONzI/7q0RjPaubVH6UFxeTE+qfuE+zm1GDbA\n6K5MICdkLNu4THgyo+5CHRM7u6SiBPtO7+N+fpZ7/uarb+Z2vpPn7VlhZvjH6f/I7fxuYJVQInMJ\n74K3G1HuT+s+5XpuK3gtZrtpy7eC3dgdFNO1uLwYU6+eiuxQ7/o5O5RtyVyLFcYgScbYo2hOEZfv\nwwl0gs1sTWVVWHLrsu2Er2RCado10yzfC0rAFQAONx/WBeF0EEdv07T8lJoyLO7DUhhTRk5hvobR\nV41m2k+Uba2I6opXHDx70HYSn/XqLGEaPXagxdkJiuYUBZJEofuDB2RZC97zBquAb1A0dFrXDAC2\n1mwVft40VOcKGf2siqzYbDi4ARe6+0dSeOLwiaavWz0/vOGUVHRjluAFbiZ/QsPmmRz+xV9+wbRf\nrDDGvd3ODN2pbqzdsxZJJQkVKpJKUvfsaFtDyxPl3M/v5HqYn53P/Zxu8PLul9GV6oIKFV2pLmFO\nayy29EFqVwLsCyI5IePX8q+FXAMr88mKeckLbllG2sVHXjZ/9qu2UEYvzvfW7xXOQLCaR4DeBFcQ\nzBhFVZieR9rlmRf+57P/EXJcK3j5Tu+bfB+3VlA3MBOx184l7x95n/s5WRmjbkyW/MBrMZuHZIid\nk7JfFzlWbD+2HfHauE7T2Couj0aimBPRF5ckSKhqqMKyjctEXyoKhxbqtuk1lZl7PIFbl20nfCUT\nSt2KfcUsSCq6mwcsXht3nExvL7zdVZ/qifMnmPYTZVs75Wr25BcBbzczAhWqrbBaxakKIed1QlfK\nXGvDzHZaFPaevpikCJKh5KY6HMR3cbbNyEI53XZa+HkJWET1RAl19neQSjtdbRFlxW52fqtKD2Dd\nLskDWZK7ZGrpvlJ0JPm279a31TOzlES7RBLkZechJ5yDsBQ26IJoxfRFjGlOVfdMtE/bnV+bLOcp\nks2i0SNCyNYOrImQeG0cisL/XpUgYcboGZZjBYGckPHOwXe4n18LN2w0OSHrWG3nu/gn67UMBDrp\nFkQSVgTrygtYmC6i2tmPnTvmOJbzTCbOvY69BZUgXhv3pL3kF9dcdY3ptZC5JJninxi3Er6n441/\n+at/4X5uM3h1eeMRc5y+YB1viy7aEbT1tCFWGLOMLWjQJA8VKp76+KlAktNfNn6p26bndu2925ns\n1CWyWeM5VnwlE0qfN1hnMbXK7UFAyzChF8/0NkuWevfJ3Xi2/Fnm87MG9qKq/Mtucc7QGhaIJot6\nXqhrrbNcFNpRoUXCKiAXaRlLQ8tKio7jm7W2AyszLqgKt1n/Ng+hQVY4aRtc7jCrtrAwJHggJIUQ\nezOGJ7Y9gdibMcP4cdPIm4SdO6kmDdUlK8gJGa9VvibkOlgq5qKYMGaYMmIKVsxagesLrseKWSt0\nzw5hI4tiedoZgwDAkLwhhtcKCwqFXIspqD/70NmLraHr9vNz8mRpJxTBELMD7bBrBat2BR545P1H\nLMcKEoMU7ygWXiihzWFKKkpw1+/vMl1MlO4r1bHavLhzOUHLHls8bbFOSP7R2Y9ya9O1gh37Img3\nQicMyxcXkzrFl6fOn+J2Lhbhfhpa1+sgMf/6+YbXSHIhhJCQJNeeuj2GZ9Is1glybvWCIbnGOc8t\n7DoRRBbttCBt3FsXb8WTtz+JrYu32sblZlpJzR3NwscyAGjt0UstbD6iN/eKFcbSnUIqVLy659X0\nfMTbhOormVDqUXrSDyY9eVoptYvCoskX7azpxTO9zdIfqtVPYYEkSY6LEDkhY22lGGotfXObnZvW\neeBhPWmFgrwCS/rfd27MDPNj5uiZpq+LYo2Z4bHZF10KgmzVYP0bgxD6BcwpxXRlQlQ7D6lqO0EU\nDb6/Y+/pvb0CiKmuXkHyVK9oeFD367muc+hOdUOFiu5UtyG4492PToP8vU4o3lEsLPkapAWuE7JD\n2RicNxjF5cU40nwExeXFhkWyyJZhp0SEmSh6kO3ENLQJsMp6fhpKIwY6z9dm2nRCYfPT0AUlEYtW\nFSp6lB7TsUK7UBTNTgL0zMKSihIs3bgUZTVlpgLZQUCb0IlGonhgygMYmjcUD0x5AFOvnio8wWbX\nNiTCYdgKdKLPDKySAF5gx3SWEzJXV1cvGna063UQyA5lmyYHopEoVsxaARWqkPHiQs8FwzOpNV/p\nTHYGyvJ0m7gi2mM89L7uvOFOy/eCmkeIYVA0EsVPb/upY5HXTCupsKAQ906+V9QlWoLWGt1QvUHH\nlNJKnPBmsX8lE0oA8Gz5s1i5ZaVh8qQdrURDy/yhB3CyTQIcEf2hiqpg3hvzsGzjMsvEkkjR4eqz\n1bbv0xWxx/78GL5s/tL2M36wI7EDHckO00E6U9WpD2o+MK1gvrTrpcCuQSs4Z2fbyRvaqrkdghLj\nMwsoiWOWBEl4xeGxPz/mmAAOSqy9v2FA1gBd1VJRFQzPHy6MYUDDidkajUSZNeu8ICyFHZNWJRUl\n2HBwg7BrYEkoLZ62OJDKnArVoJWjrboTVqOoBWpXqsv2WTWLNb44+4WQazEDrRWpLdTw/H0KhxQ6\n7rN4uni3Gx36fnK6oEiSOT/b9jPMfWNuIAwhGtoWhKDOTeJfuhhBb4uOgcJSWNdOs3LLSqyrWoem\nziasq1qH5e8vF85KsUsaiXAYtsKZdmexdFFGD1mhLEuRYYB/i+rxc3qjJLvWcYKgi/8AcM/Ee0yT\nB3JCxrPlzwbyvJI5TEseUKGipaul3zHogN7vZt4b87CmYg2X49kxvYN8PllBkmk0ri+4Hu8efDfw\n66HNvUo+NRYNyBrv2sHXcj33VzahdKT5iKE17E8H/uTKKScIaKtVf/jsD0LO0aP0YE3FGsx7Y57p\nALjLeVMAACAASURBVC7yIXVrXf1J3Sc42ereEYIVWtc5MkgTBJW0oKFCNUzg8do49+yxHbQVCTvb\nTt5gDRqCEku3cp3TBv/E+YE3VKjoSjqzUNw4GH2V8K1rv6V7RiVIaGxvtNQgEw2z4C4yWJyz179G\n/9WxUsabwkxjRP4Ix8VANBLFP3/jn4VeBwAklaRBY0RbtNFqIIhKcNkJKgclFm8FOvGsbenmOcbv\nOLHDkekS+HchmbNxSNVfgYKkkhQa8IcQggQJueFcHetBe18GibV71hruCXpbNEOHZveuP7Bet13T\nVCP0/ED/WZTmZjnHxmVflgk5t6oaY04tuLNtNTUfkoB4fNvjlmsSwDwhLxrvVL9j2QoaVPKXzGF0\nsSR+NO7Y8cELbhJXxeXFXAkJdrE+q9EBD8wYPYMp8Wkl5D/qqlGBaCiNHTQ2Pa46JYoJ0vM/51rs\nVzahBBhFfKePnh64i5f2wTSrDmmrVaIrM8SWlQYL9dYrnGzh6Wp20NXCjYc2pv8dK4wFHuRpz03w\n0PqH8Is4m6OSCHgV5PMCOptuBVEuhGbnkROybiIp3VeabiFKqSnMGjtLmPuIAsWxvS+o76K/obK+\nUjd+k4RwdzIzbVj04qukogS763YLO58Tc1BOyDh49qCw8wMAJNjqSBEEZcU+LH8YiuYUYcLQCSia\nU4QlM5fo3r/rhrswc/RMU10MHrBj4Hpp8+CJScP0SSOtuxVPFmpDWwOWblyKv/ufv7O8H5ziAO5Q\nja6Ev/jLLzA8f7guxhAZ8N8x/g7cOf5OvLjwRV0iOBqJYvXdqzH/+vmBuLgSjBk0xtDuFZRrFEGP\n0qMrXtG6lWMHj81YDAYAtedqAztXS6fzWkSUs21WKAstXS2WWlrRSJRre662kK9NQFitSYDMJORV\nqHjk/UeYtAp5gtzzWnt62lyqW+l27PjgBTfFdd4dDaV7rdvtFk9bHJjzX+WpSqZYxwqi2IU0Ono6\n0rmDpJI0tCveM+kew2dIUZoY3fDCVzqhRONQ4yH8dtdvAz2nNqNsVh0SKQppBrOHX6RLUv0Fe2eg\nDdUbAhVJp0HEyoDeSfR7X/9e4NcwcejEdMD50PqHsK5qnbAWRCvQfeNBBbos2XQgOGez2nO1uPV3\nt2LO7+akdb3oxVB5olzYQiSEkONkHqS2Vn+CqhpbnN7a/1YgVSAnyAkZD298WOg5WNqHRSfkd53Y\nZasjBfQm1uzcNLlCBV7a9RJqmmvwa/nXutam2JsxbKjegN11u/FBzQdCTj95xGTL94JyH7TC7pP6\n5KY2ASqC/brh4Ia0DqIBwdaJ0NTRZAjoW7tbA9XI2Xp0K7Ye3WpoY5YTMh55/xGU1ZQFVkAjrWb0\n309vB91Sc7hJr9NTf6HeUlOSF+xchINMAmtjTyvMGitGhPjGETeiuLzYVktr7KCx3M5HkiNyQsan\ndZ/q3rNiqQeehO5DSkkZ2FuiCyRkDaS1p88J6c1GckI5GJk/Uuh1ELjRLOWteWvnJlvVUBVIvCdB\nQv2FesdYB7Bu8X+r6i3RlwnA2RU9cT5heI0k7eziFx2SaGPZ7bJKKNWdr0N7sj3wcxIUzSlKt8tk\nh7JRNKcIG6o3BOJeRWD28Nc0i6UZ27lJ/Ncn/yX03E74xuhvpP8tJ2RL+06RGDpgaPrfmRAiHJY3\nDNFI9KLzTHlwuhKs4n/bj20XfCV6qH3/daW60NTelKaUhqSQUCahJEmOdHNW3amvGr4x+hsGDZ8T\nrSfQ3hPsmE6gXXwtf3+58Gdm5EDrYFJOyNhzao/Q8wNgai8MSjQ+K5SFUVeNQleyK93CRKrL8do4\nelIXk/KifpuFE6wZHkG2DmdJRiYDHVcE8Zx0pbpMx/QgWxWAXgFyOtYRafZhhpSaQkpNoTvVrVug\nFu/g2yLCAlK0pNu96O0g2v614yadVGnrbhPK8gSAzh5zd0Y5IQdqOsAS94tii9NMLLMYvaGtgdv5\nckI5aXkPWtLCkqUecBJaCzoG21i90XxHTghJIYM9Pf29/PAbPzTY04uCm3XI+W7+TDKrNWOQztd0\nosaqVTYaieLeSUbx7aC7bQAgJ5yjIwfICdl07VTfVo+VW1aivZsxJsjCQJbdLquEEmt7DU9o+4Cj\nkSh+++3fYsH4Bfjtt3+LaCSKt/YHk8VMw4R40pmytz/2CztGRVcyM/onBNpFWJAuCloU5F2kA98y\n5pbAz9/U2dQrWN9H73ynWrzzjBtkKtFH8NHxjy4mkdTMTBRa7Dq5K6PnzxS21mwNvGXZDtrqvvBW\nM1hboZNAna78ioZWG0bbIjpmcDCi8aqqYsboGQiFLoYxKbW3uky3NolC5alKSxv2gTlMMRgXJFXj\n4vQbY76h254+qnceLqkoCVx3LGjmyw+/8UMDQ+xs+9nAWjG1oIsEmWhZTrdC0PEftR2Em6p23ByS\np7cZD4Ktb6bNQ8bQIHGy9SRTGw3NVOEBut2OLlbICZlroqC+rR6P/fkxdCQ70uPy4JzBpm3KmYbZ\nvCF6Lhlz1RhcX3A9Vsxake5WWDJzCV5Z9AoWjF+AVxa9giUzlwQ2jh5qYi9a1jbXcj+/1ZoxqE4F\nFaq7drDgmoxMkRPOwcMzH0b8B3Fde7Xdmvb1ytex88ROrtdx2SSUwlIYU6+eGmjPOqBnE2ipzqSS\nymK5yxN76vYE3h9sJ4QuWjfKCV+c/SL9fYi2/baClmY9fuj4jFzD6p2r0/TOIBMmVgE+rWGUSQSl\nuQFcXBDbQWv/fTmhvq0ep1pPZfoy0thwcEPaPVOUULsWViwPrdBwULh64NV4dPajaWbj7W/enm4R\nZa56+URKTWHz4c34SfQnCEkhhBBCbjgXscJYYAYLO0/stLRh33RoUyDXYAYJEh6c+qBeb6JPqHr5\npuVCz2226Amy1eybY76JJTOXGCymB+UMwtufvR3YdRBcM/AaXZB/6kJmxrD6tnqDDT29HUThZm3l\nWsgJGSUVJTh27pjuvSAYQmayD0TLNGjYxTakbZfW0hEBmt3Ku7haf6HewDw7330eL+x8wXI9EjSr\nkYBYxmuh7WQQgROtJ3Ck+QiKy4t1c8jUq6ciVhhLS0MENY6OGMC+Ls3LznPeySUKcgtMCzVLZi4x\njFmiYGCEW6QO5ISM9w+/L/6CLCBBwgNTHkBNcw2qGqp079mtaTuTnRiUO8jyfQpMi0Ixim/9EGSh\nlhPOCbQ6p+0PNhOjG5wbbMXsQs8FzHtjHj78xw8dHYN4QIJ9C49ZZTVolO4rRTQSRTQSRU4oJ5AJ\nXIvxQ8en2zQy5UDScIEfvdkNaE0cAOkFaneqGznhHMwaJ0ZHoL/CKbE5MHsgmjubg7mYfgazsXtg\n9kC09TC1eHNFfVs91lSswat7XhVSRaZhVZ38/MzngbPmGtoaUFxejBuG3oDKU5Xp36Ur1YXyRHlg\n17G3fi/+98v/BVQgFAph9d2r0/OaBEn491LbUqvb/tOBP6Ur7kFqI9JQoWLd/nW6JOOGgxvwbvW7\nGbFlD3JeI1qV88fP1yVI5o+fn5EkHx3jZSJxAQBQe/U+Xt3zKlJqCmEpbNBODMJljQhzm7XoBjGO\naWUoCPpDMZFGkEkumrEU1PfRlep1tTVbiyyetpibFb1fBJkQX7tnLZbMXJJmzZE4eOvirYGNo25a\n60YNHMX9ulq6WvD4tscBAGU1vU6H5Ds53Xba9rNhKexbl1eCZGCEWyWyMpWMJlChpuc57XflhAvd\nF5gINjnhHHQ3djOpwV82DCWgl84blEI8gZZeu7deT3XeW7+Xu8o6C3qUHp1QpGhXjSASV7xw9cCr\nAz/n7MhszC+dj5//5ed479B7gZ8fABo7g6no0zCrbpTuK0VXqiutYfTpyWBbeTKJ6aOm2z4vckK2\nFLG8HEDbTgPISDJJi5SaQkeKv8gxDSvWzYe1Hwo/txXM9JJYxGZ5oSvVhe5UNxQoUFU1/R1FI1H8\n1Zi/En5+ugVTS8mfOGwivXug2H96v+G1IBjBZouLINkGG6o3QE7IKD+uT2yWHy/HdQXXBXYdBF+c\n/UJXZQ86BiUYddUoVDVUpRdbKTVlqGgHpdECiGE2sEDrdkig/V6ChB3bOMj2bnrMjkaigTBB7ArO\n9L0ZJOjiTZAxRl5W73MRr42jK9mFlJpCV7I38RbUOGrlUKbtHCDICfMvpmndt4GL2knx2rhj0pnH\nc0zOkRPOgQTJoE2kRX+SYQD0OlN2TEMVKlNbayqVArqviHIbUHmqUrheEA1tuxf9IJzvOs/dcpEV\nn9R9gvml8yEnZGHWpCzIpEUs0CuOrtUBoQUDg8DeU3vRnepOi3heTpgywhjAHjirr9oFLaSfSSy4\nYYHle6Ri1R9czTKFwTnBa6D0F1gF3uOHZaZNFgA+rfsUM0bP0AVeWk0j0VBVFeFQ7xyiqIouuDva\ncjSQayBVvhBCWLtnbTp5kMnErwQp0N9BC3rRIyfkQN2zAGD5puUG1m3DhYaMscaWbVqWbvNKITNz\n/OC8wQZR2yBFbrWYMXqG6dwfBMyKuEEZCdCw03UNUmvLLLl3pl18sXvaNdMsC2iZ+k0AY/EmiJZ2\nApLUHZ4/PB3rKVAwPH94YBpKZq6oJP78+V9+nl47AuaaZH7R1K4XxCaaSkFovBFsOrwJj81+DHeO\nvxMvLXzJ8j7NhCaeHbT6Uzy+rxRSwFAUsux7WSWUDpw9EHhrwJ+//HP6waOrY02dTRlLIBArxHht\nXKjLnBmjQItMayjdNPKm9EARhO22GaaPnp5ekF1uMNNQygRrr7+A7qHXgmjlXM4413Uu05eQMVhV\nbCODIwFfyUUoULCuah3iP4jjP/76PxD/QTxQBkZ9Wz2Sqd75S4WK4vJirNyyEss2LgtkQUTOC/R+\nF7vrdmPpxqW9DioZch8k12TGMAhijtGO6WQRsv14sC6dh5sOG1rXU0ihqj4zrAdiB56pBA7Qu/Ch\nRW3pbTsDFZ5obG+0rPiLhpmNdtAi9SwISoAYMOqcrtyyMpC1SVVDlaWGUqbaiMJS2FC8ER13SH3/\naY0uaD2zdVXrsG5/MOY0A7IGGF4zY0wBwPlO/i5vTR36hBIRjw6y9bBH6cFv5N9g69Gtuo4eGkE+\np06QIOmeZW7fVx6YMlOXVULpo2MfBX7O7ce247bXb4OckDNWkbFCVigLw/OHC504UmrKVgQ8045Z\n+0/vR0lFCZ766CkDMyYovLDzBdx/4/1pquvlBJJAWbllJSa+OBErt6zEyHxre/TLAb+I/8L09Vhh\nLKO6LP0BmR4vMom1e9bqnhOCTIo/A0BlXSWqGqoQr42jqqEq8CIBzdh7tvzZjGtvPLfjOYPtcNB4\ndPajhuReEM+PVhcvU/oS2aFsgz6jqqoZYwcBva0RQSVszPCdKd/BkplLUDSnCBOGTjB12NqZ4Ov6\nYwa7NqcwxDPWa5r1OlElFSXYd3qf8POagSQYzVqJggTdtrT+wPpAzptSUyjeUWz6nohWKhak1BT+\n85P/TG/LCVl4ceKqnKtww9Ab0kYXAPDFmS90+3xx5gvDvSsK/+fr/8fwGs2YaulqwVMfPYWdJ/mP\nGXQxgP4ugkKP0oOUmkJnstOyfezL5i+DvSgKYweNRW44F2EpjLysvIzpwQGXkSg3kLnFSEpNYfn7\ny7HslmUZOb8Vrh18LZ766Cnh57ES3esPUKBg+ablGW0160p1BeKu0l/xyPuPpMXqi8uLMWHohAxf\nUWbR1N6UFmmPFcbSz040EsW/3/rvKC43D8Cu4KuNuta69G9P/v+ZO57JuIZUa08rlm5cCqBXFDI/\nKz+j19Mfko5B6kiZgTCRMtEeW3GqAnJCRjQSRaww1muEkuwK9FrM2GGZvi/iR+PC3aKsEEIIU6+e\nCjkh46VdL6E71Y2Xdr2E+ybfp4vNDp49KPxaiOvdso3GeDgcCiOliI3F6ILV6p2rhZ7PDt+Z8h2D\nCcmLC19EY3sjNhzcENh10K13s8bNwpHmI4Gc20wkHehtpaKd4YLCuqp1mHvdXCyZuQSrtq4Sfr7W\n7la0dremjS6WzFyCsYPH6hJZYwePxU0jbwpkrWDGOmpsb0RICkFRFUiQ8Bv5N1BUJZC1E2HdZEqo\nXYVqqZUUVPLVCiMHjsSDNz+I9QfW4/4p9+vG86BaJAkuK4ZSJrG3fi9e/uTldAuYBAmFQwozek2H\nmw+j9lyt8PPY9XEGUZFywuWmW9TfQJJJBJez6DQADModhLlvzMXj2x7H3Dfm6qqW902+L4NXdgWZ\nREO7XhPmrf1vAYDwBZhbdCX7X/tI0CC6TpmCCjVjC+WUmkonPKORKFbfvTpQ7QvA3GFPZGs/C8YM\nHoP6tsy4uCpQsGrLqjRjLKWm0pIHBEEwMQDYWlUH4bA7fqhec452OAsKN464EUtmLjGYkCzbtAxP\nbHsCFacqArsWLctCTsiBthaZiaQDYlqp3IBoOAXhfGh2XkP+WwUG5TDbvPuCmbFCrDCW1ryVJClQ\nzdcjzUcgJ2QdcyxoWGkl3T/l/oCvRI+99XtRXF6MI81H0h0fJRUluOv3dwVOVLiSUAoQ+07v0w0S\nma4sB4XNhzfrtrX03kxS0K+gf4Buy5g0fFL6tctRV2rYgGHpxU9SSeoYSVb08Cv46qMnpU+8Et2P\n/tYGeWVMz3zyAsjsffHeofcgJ2TICRmPvP9IYHpWBJk2+zDDpOGTAnHOssLBswfTjLGwFEZOOEfX\nHsHioMQDh5sOQ07IGdNQ+uzMZ7rtgrwCiz3Fgnb/I1BUBSrUQAudhGVBNM+ClH/Yc2pPYOdyAyJB\nMa9wXqDnJQXVs+1nda/T20JhMnVUNVSli7+EpRRUfK5CRem+UsNaMkiMHDgSyzYuw7KNy/p1kfdX\nH/0KSzcuRVlNGbYfC1a78EpCKWAQ2rcKNfAgK1PYdXJX+t9yQsZtr9+Gx7c9jttevy2DV3UF/QV0\nQJcTztE9J5cb6D75rUe3Auh9doKkwV9B/wL9LDS2N2LksyMve4ZlpmzY+zMmDJ2ARZMWZez8KTWF\nVVtWoXhHsYGBGtT5aWRKk4UgfjQeeAuCFl8b8TVEI1FsXbwVT97+JLYu3opoJJou8AXJIguijcgK\nTR1NukTOvZPvzdi1/OnAn0yNSYIGYVlkQvOso6fD9PVMJRwJhuUPQ0lFCXad2OW8M0c0tPUykelE\n1rzCeYF9J2aJb5rxmlJTgcfnCycuDPR8Wvyh6g9YU7EGayrWYN4b89JJpdJ9pRm7JjNk0tTostJQ\nugI98rPyMTBnoPDE1oWuC+l/r9qyKh3spdQUwlL4sl8QXe6gmXqZEsjsL6CfB6IHkskg/Ar6HxQo\nwVYt+ykux6SzE5o6mgzOTUFj+/HtgdptazEifwROtp7UvZbp+2TMoDGBthLRiAwxukHKCRmxN2Po\nSfUgO5yNrFBWIOy6irqKjC7E/nTgT2lB8ky2Vk0fPR1vf/Z2xs5PI1YYQ1YoC6lUcDF5dth8jLBy\nNQ0Ktc21aW3ATOCzhs8M20F9J2ZJzkx2C0iQsHjaYlQ1VAXaxpUVykrrIWrj8h6lB6X7ShGNRDNm\n5mSFTOo3XintXcZoT7YHwpJqT7anXYmqTlMD4pW1wGUP2rL3cnS7s0NWKKvXTeOEeAeeK7iCK7j0\n0dTZhJaulrRmY6aQCXYSANNEVtDugzSK5hSZapMEhfcPvZ8WgH5i2xO4/c3bUVxejO5UN1SovdpK\nAemxtfW04bXK1wI5lxlGDuwfTrIbD23sF0UB0vJW1VDVbxhKxAEvU8iUlieJf2mB/INnDwb2nZjp\nBS2anDnGK8ELO18I9HzjBo/Dk7c/ianXTLXc51DjoQCvyBkdKfPnKQhcSShdgXAQkc6VW1YiL1uf\nLLiit3EFNDLdmtDf0JXqwuPbHs+I/fYVXEF/R1BCpZcaSveWZjyJkinQRQogs7pWpLo/6qrMaSj1\nqD0GAWh6MRQkiyuTZgKHGw+n/53J1qoDZw7gQs8F5x0FY/zQ8ZATMpZtWhY4k89KpP07U74T6HXQ\nGDN4TEbOS4oAueFc3eu54VxMHz09kGsw++4LcgsyxlJSoaJ4RzGaOpsCPe+ArAH46W0/RX2rsRAw\nY/QMlFSUZLRI0N9wJaF0BYFh3f51OH3hdKYv4wr6OcYOHntZinFfwRVcgXuc786sG1B/RVNHsMF3\nf8KpC6cyfQk6qFARr41j8bTFGdP8UhQFW2q26F4bkT8iYwLmmWxBpAublzs+PPYhlm1alpEEdPXZ\natz1+7vSulZE02vq1VMxbtC4wK+HINMu3PnZ+YbtINozxw0al24H1YK0QwKZaX+rO1+H7mSwRVWi\nr3au65zhvcpTlRlzUu2vuKKhdAWBoa27LS22fAVXYIW99eb2nFdwBVdwBVfAhqxQViA27FfAhuH5\nwxGNRFGQVxB4pR3olR440nxE99qp1lOXp4alJpfV30R1M4GuVFfGtCsVKCirKUNZTRnWVa2DnJCR\nVJLIDmdnlK1ee642I+dt6WrpFXymczYSDAlhETjRegJyQkY0EtW9rnV5U6FCghRoUnji8Ik4cOb/\nb+/e46Oo7/3xvz67uYeEXCEEAuGuoZFLkLKiGBVTKVgjnPbYUoOW46q1p9rTh2ltH/2e+ji/+iW0\n32/V06LwK+0xB8/psUV7WluKrYeIxYhVkaJYLlUwKohcwj33+f6xO8vM7MzuzM5tk7yePvIwMzvJ\nfNjMzuX9eX/eH2/rFT3z9jMJaxEaDdcccvrRZWYzZih5zO9CmX4603PG7yYQERENeX4W56R4m/Zs\nwqf+/VO+BJOMHDp1yO8m+OLF916MzdKUbkV1h7Nth7ahd6A3VtPrbI9/wwEPnDiQfCOXtO5qRXFO\nsXqlhLiAsJv719rw+gZNc7y9vuw/vh8jskZ4u88T+/Gt//kWLvTFB45mj5mN8UXjPW2Pb3pxLvlG\nzFDyXGd3p99N8E12RnZsxioiIiJyh5/FOSnec+8853cT4vg13M1vck2WxVMWY9uhbX43h9KQn9kn\nenV5Oru8e3bU27/fw0RPXjipG9jxy+YDm1GSU+J3M7yRBVOFKhlQIk8ICF+LMBIRERFRRFe/qZEM\nQ9LOwzux8/BOv5tBCXg9rErJz6Ggv97367h6Vr5/Vn1OeN1/cn/yjTz04ekPfSvc7jkBUz0PHPJG\nnpBnFSEiIiJ3cWIDSsbPwth+y8/MHz41UAap4Xp8+j07p95slMfOH/OhJelraulU/G7f7/xuhjcG\n0GtmMwaUiIiIiIaQ4fowRmTG7DGzMTJ7pN/NIEo7hTmFceumlU7zoSXp68ndT3LSCw0OeSMiIiIi\nomHhqbeeis1aRUQXtb3bFrcuPyvf+4ZQehhAn5nNmKFERERERETDAoNJRPqU5UnaO9px889vxpO7\nn/SxReQrYS5WxAwlIiIiIiIiomHso7MfAQDWv7YeX/ndVxh8He4yYGqKPwaUiIiIiIiIiIaxc73n\n0N7Rjrt/e7fvBcIpLZia4YND3oiIiIiIiIiGscxAJta8tIbBJIowOcMHA0pEREREREREw1hWRhb2\nHtvrdzMofZiKLDKgRERERERERDSM9fT14ELvBb+bQeniAo6Z2SxpQEkIkSOEeEUIsUsI8ZYQ4sHo\n+olCiB1CiANCiP8SQmRF12dHlw9EX69W/K4Houv3CiE+pVh/Q3TdASHEN63+W4mIiIiIiIgoNSe7\nTuLgqYN+N8N3wlzpoKHvAjrNbGYmQ6kbwLWSJM0EMAvADUKI+QBaAPxQkqQpAE4CWBXdfhWAk9H1\nP4xuByFEDYBbAMwAcAOAtUKIoBAiCODHABYDqAHw+ei2REREREREROQykyVzhjy+D1EjUGFms6QB\nJSnibHQxM/olAbgWwC+j658A0Bj9/qboMqKvXyeEENH1P5ckqVuSpHcBHAAwL/p1QJKkdyRJ6gHw\n8+i2RERERERERETkpSAyzWxmqoZSNJPoDQBHAfwBwN8AdEqS1Bfd5H0AY6PfjwXQAQDR108BKFWu\n1/yM0XoiIiIiIiIiIvLSeYdqKAGAJEn9kiTNAjAOkYyiS2w0LWVCiLAQ4lUhxKt+7J+IiIiIiIiI\naKhqXtAMnHMwoCSTJKkTwFYAIQBFQoiM6EvjAHwQ/f4DAFUAEH19JIDjyvWanzFar7f/9ZIkzZUk\naa6VdhMRERERERERkTEBgcbpjck3jDIzy1u5EKIo+n0ugOsBvI1IYOnvoputBPDf0e9/HV1G9PX/\nkSRJiq6/JToL3EQAUwG8AuDPAKZGZ43LQqRw969N/wuIiIiIbJhaPBVF2UV+N4OIiIjIVxIkXPPE\nNUAW8s1sn5F8E4wB8ER0NrYAgKckSXpWCLEHwM+FEP8fgJ0ANkS33wDg34UQBwCcQCRABEmS3hJC\nPAVgD4A+APdIktQPAEKIrwDYAiAI4KeSJL1l8t9LREREZMvBUwdRXVSNzm5TM+QSERERDVnd/d1A\nHkrNbCsiyUODj6gUEu70uxVEREQ0FBRlFzGgRERERAQAj6JTOi4VJ9vMUg0lIiKiwSYogn43gQaB\n4R5MEhB+N4GIaFApyCrwuwlE7hlAr5nNGFAiIqIh7Y45d2DW6Fl+N4PIlMKsQl/2W1lQ6ct+iWjw\nygxk+t0EX00umex3E4hckRnIBM7juJltGVCiQY09A6SHPe2kVJhTiL3H9/rdDCJTTvec9uUc1tk1\nvDO0iMi63gFTCQxDUnYwG1mBLL+bQeQ7BpRo0CrJKcHI7JF+NyNtcIaii3iBJ6U3Dr+Bnv4ev5tB\naS6dAtESvK9vWZTDa4hWfqapCW6IaBjq7u9G/cR6v5tB5IregV7TRbkZUKJB61T3KeRm5vrdjLSx\nZNoSv5uQNjKDwzsFmy4SEFhesxzBAOsoUWJ+BHHSSWG2P0Pt0hnrrxFRIi93vOx3E4h8x4ASDVr9\nUj96+4dvqq1WQVYBAoIfaQAMHlCMnHWSTtknROmoPL8c5XnlfjcjrZzuOe13E4gojf3lo7/46NmU\nlgAAIABJREFU3QQi90joN7MZnz5pUDtx4YTfTUgL8sPycC+OKDvbfdbvJlCaGMAAHnn5EfQN9Pnd\nFEpzl5Zd6ncTfFWSU4KyvDK/m0FENGgU5XKoMA1hGcgzsxkDSiYE+DalrXO95/xuQloIiABmj5nN\nh+YoSQzvoSukJkFCRiADIvofkZ6TF0763QTfne5mRg4RkRmzRs/C52Z8zvD1DJHhYWuIXNCH82Y2\nY6TEhAEM+N0EMsCHw4gxI8Zg8/7N6JdMZSa6Qh5uF0DA97+L3/un9HLj9Btj9XE4LJSMHDl3xO8m\nxPhxDqsYUYHj503NEExENOwdOXcE+47tM3w9L9NUcgdR+hIwVUOEd9Y0qFWMqPC7CWnh6Lmj+PDM\nh762QZIiD+wDGPC9uG1uBou1U2SGpnVL16Eouwh9/X2QIPkadKXBZ1bFLF8KM3u9TwGBpplNnOlN\nx4SRE9AwqQHNC5r9bgoZKMkp8bsJNAwNDAxg33HjgBI7sGi44JFOg1pGMAOzKmb53QzfZWdkY9Wc\nVb7tP90ygkrzTM1ySUNcQVYBwnVhlOaVMtOUTFlRuyJ2PguKIKqLqn0JQnodlL9p+k0IVYXw4DUP\nerrfRIqy0yO4NbtiNrbcugWN0xv9bgoAYGrxVL+bkHZOdnk7XHVswVhP90fp6frJ16Ms37juXHVx\ntXeNIXJYdjAbOA9TacsMKNGgog1cnDh/Am8cecOn1qSPuy+/G+G6cMIeVDfHcl81/qq0CiodOZs+\nQ1fIPzkZOQCA4+ePc7Y3Smpe5TwUZBXEgjn9Ur8vU0KPKxgXy/j0QmYgM3btqB1V69l+ExEQmFY6\nze9mAEDsvWnd1erL/rOD2arlzAxOvqEUQMDzAOzkksme7o/S04zyGXHrppZMRcOkBqxbug7VI6u9\nbxSRA/Iz87F15VagB6aKFTOgRIOK9mHwXA+LcjdMakDLohYAwOku44KqwYB7QyjmV81PqwwQDnlL\nH372po8fOR5AJGNNfuDwezimEid8SC+vfPgK9hzbo1rnR3ZSQXaBZ+fTouwivHDbCwhVhQAAbQfb\nPNlvMlNKpvg+jBuIBJPk98avjoru/m7VclYgy5d2pKOZo2fiyglXerrPeZXzOMQuarhfwzq7O9HV\n26VaV5xTjC23bkG4LsyyHDRoFWYXxq59ZgzvMwENOsW5xaplIYZvtkFABLBu6TpsuXWLqe3dvLC1\nvdvm2u9OhZ+z3QUQ8GUYZlYwPR8yDpw8gBFZI/zZefT0sHn/ZlObl+eVu9iYeF4FDfyoATRYaQus\nzq6Y7XkbPj7/sWf7qq+uV900dnZ3erbvRDq7OjGpeJKvbVhRuyLWWQMA73a+62NrLvro3Ed+NyFt\nHDhxwPOZCV/58BX8Zt9vPN1nukqnjkQ/PLv32bhyE8rl2WO8v34QOWFqibXOYAaUEuDQiPSj7RUa\nPWK0Ty3x34AUfyEvzCk03H566XRX2pEdzEZlYaW6HVnG7fCCn4WXBzCAXUd2eb7fyhGVscBBOp27\nJEg423PWl30f6jwEAKYzHbx8kPdKbkYu1i5ZqxtUGpk90ocWpTftebWzq9PzXvgz3Wc829e0sovD\nyta/th5rtq/xbN+JZAezseKyFb62Yf/x/arlY+eP+dQSNT87TNLNud5zvpQ94OQO8YZjNo4ECeG6\nMNYtXRcb5hauC8de56yZNFi1v9+O9o5209szoJRAOg2NoIj3T7+vWtYLqgwnG17foFp+47DxjdVL\nHS+50obinGI0X9GsemA90+PdA5Ge0fn+Bhr9OHfkZkYCBw2TGvCF2i+kVVDJLycvRAq1+lmw3m8X\n+i7gbyf/hgXjF6jWTy2Zis9/4vM+tSo9ZQYycdvs21TregZ6PO+F9zIz5zd7L2ZabNqzybP9JnOq\n6xSe/MuTvrYhJzNHtex3gEt2++zb/W4CEaYUT1EtTytJj5pnXrpv/n0AgHBdODbMTSldMj6JrOod\n6LXUwcSAEg0q/VD3Cg33njrtDe/ymuWG23b1dxm+ZocQAqGqEO6Yc0csiOF3MFb78OyHWRWz0DCp\nATNHz/RkfwVZBbjv9/fhj+/8EU/uftL3v0E6kM8Pyh7EhkkNPrcqQkDE3ZC7Zc32NXFTG/f09wzL\ndPyCrALd4aF31d2FF257AS2LWlS9zZ0XvH8gqCqs8mzY7NGzR2PfzxqTPjOmBgNBvHPyHV/bUFNW\no1puWdTi++xe8yrnoWVRC2aNTp+/FQ1P2mBJSW6JZ9e0dJCXkRcXQNJKt3IQRFb8Zt9vgCzkm9mW\nASUaVPIy8lTLrA2iFq4LGw43K8s1ntrUDjlw0TSzCZnBTAgIXws1Lhy/EB+f83/o0vyx87Hl1i2Y\nWDTRk/399dhf0dPvfTZFMn5mSt186c2x7+UexO/WfzfuQdEP9y+4H6e6T3m2P21B4UOnDmHzAXO1\npYaSMz1nUD+hXrVOQGD8yPGxWkLK3uauPncC8Yl0dnXi7rl3e7IvZZZvUXZR3Oc1K5jlSw208Nww\nasr9/Zw2zWyKW3d55eWetqEkpwQraldARP/bfXQ32jva07ZmHg0fRdlFquUTF07gwMkDPrXGe+f7\nzmP9a+sTblNZUJnwdaJ0JkkSkI0CM9syoESDSu9Ar2r52IX0qGngF7lGjFJeZp7OlkDTrPibYyfk\nBC9mSZnNUNIGBp1UklviS0+7MoiWGciMPYx4VVegMLsQWcGslAI4TgV99H6PH5lSAQSwonYFNi7b\nqFrf3tGOa564Jm4mLz+0vdvm+0Phyx0ve77PzID/U57/8Z0/qpYlSCjNK9XdtiTX+9mc3j72No6f\nP+5JMHZC8YTY98rZEAGg8ZJGtK1s8yUAO7l4ctwQdy8tnLDQ0gw3bvmHun/AjPIZEEJAgoTu/m60\nHWwb1sN4KT2c7T2L7GA2BASyg9nD8n482TDh5gXNHrVE//7LamFlIqVgIAh0w1QNEwaUyLTmBc1Y\nUetvDYHKEepo/5yKOT61JD3oXUBK8uIfgEpySuJ6k5wiD81oO9iG3v5eSNH/EnGz1/9g58G4mZq8\noMwMWjJ1SexhxKthRQXZBXi+6XncNP0mSz9XPbIaN11i7WeMGP3dvc4k/Mz0z8QFkwCgdVdr3BTc\nftEWsneT0ex1fhRLzw5me75PLb0sPqPiqffOv9ft5sQZnT8a9dX1yAhkuL6v6pHVse93Ht6peq0i\nPxIMf+XDV1xvh9YjLz+CE10nPN8vELmurr5ute5rXrepKLsIpXmlsUyyAWnAMPhJ7svNyPW7CWnj\nbPdZbF25Fd+79nvYunKra1nw6Sydhgnr3X8V5xTrbEnDkdVh0gICP/r0j4AenDOzPQNKZIqAQFF2\nETYu2+jrGOkxBWOwonZFLA18uPfSjS8aH7dOb5rrhdULXbsJlWcJKs0rNT3cyu6wrNLcUtxVdxfm\nVc6Le+3Y+WPYd8L7gJKS8qHD7JT1dsmz+J3vPW/p5z73ic+h+Qp3e9G8nhFn8dTFnu7PqqAIovmK\nZs+K/BrNXufHUCYvgiRWCQjUV9frvibX39I717jlE6M+AcCbGoHKc9WRc+phkUfOHUHbwTbX26Dn\nfO953x6G7l9wv252UntHO/506E+etqU0rzQu0Lfz8M60KqCeDryqbeX3hB/ppCy/DKGqEB646gGE\nqkK6nZlD3emu0wlf93vWzPqJ9b6UHfB7pmdSyxAZlmcpvX/B/UlrhCkxoESmKIcELJq0yLd2dPV1\nYeOyjTj+jePYuGzjsL+p0huKoJ3qGAAWT1ns2hAKeWY57U3vuIJxju9LdvzCcTyx6wnd12rKa3yf\nbWT7e9tj021aCW7lZeSl/JA/rWwa6p+ox3PvPGfp5xLNDDhYaY9FWdPMprSY/W5B1QKEqkJoWdSC\n5gXNmFI8xZd2KaeM98q5XlOdXZ6SIGH30d2Gr4frwthxxw7PbpIrRlRgzfY1ngwXVdabO3FenX1z\n4vwJ37JhxheNj82g5KWZo2eicXqj7mutu1o9r1G3ef9m3UAfRWSIDKxbug43TrvR9X1lBjLTYsKP\ndPHAlQ+oV3AekDhed24GROSxXkCgeUEzirKLfCk74Ef2Mxnrk/qQm2k+u1JAYHLxZEv7YECJTAkg\nEBsS0DSzybdi2NqMpESzmg11WcEs3aKhORk5ceuOnz8eVx/DKUZ/gw/PfOj4vpR6+nsMCx42L2j2\nPBNCGRAYkAZiPfu9fb0GPxHvfN/5lC/ErW+0oqe/J+l22kDf8prlvveiOS0daiQl8t6p92Lftyxq\nwf6v7vcl87OmrMbw4dmtHv+inKLYTa9f9IJ3yTon2jvacboncW+0HQEEICBi5/W9x/e6ti8lObMR\niB+K3NXXZTgU0G01ZTUI13lXmDsrmIWACGDXR7tw9b9dHesQ8Nu+4/tiQw9lFfkV2PNxep/jvDKx\neCLCdWFXh5ZXjKjAQ9c+hBdue0G3w85IOtSLc0N1UTXWLV1nKXthqNK7B1dKlsHktCurrsRD1z6E\n7V/ajpZFLb51CKTb5DBkbfijBAlf/u2XLV0HGVAaYhov0X84sCs7I1s1JMDrB4JxBeN0L2DycASj\nGiFDVU1ZDdpWtumm5R8+ezhuXWleqeMPBkXZRaq/SdPMpliBxgACrl9QgoGgbl2v5TXLEaoKYdtt\n2zAi07shPddPuj72vQQpNqWudnYtt5hJZ80MZOKpzz6lmhY9XBd2Nfh3admlrv1uI+91vqe7vu1g\nmy+9dVp6PUUzRs9wdZ96QZTZY2ajeUGzbgdBZtCdh6GyvLLIzCE+KsiKn7SkPD/xNcTNoV/ZwWw8\ntvQxfO/a78XO68na4xRl0Vhth82qOasMhwK6KYBA7EHt3k96U8Oqp78nVqeod6AXa16KD7I3zWzy\nvJB+WX6ZqhMvKIJomtmESSWTPGtDOg9fkTuOjLJSndA0syk2rEvbiZXovRmqBZEzRAaDSYjMKJys\ncP/pbm8DSiV5JbFjFXD3c0GDR0AEUD+x3tLP9Ev9aN3Van4fFts0bChnrgL8nfraivzMfFd+78M3\nPBw7QbXuao2bbc1t37n6O4YXsHBdGLfPvt3T9vjtZNdJwwuZXnBAzlBy0oSiCaq/SagqFCvQeOWE\nKx3dlx75oXTjso1xARK5PXMqvSva/vL76hmz2t5ti3zj0akjJzM+M01JQECISGOU06IDwNRSd258\ngyKIWy+71ZXfnYhR0fd0KWZ74/T44RlvffSWq/ssyytDw6QG1brj549j99HdujWu3Ar6HDt/zPeg\nnl6mkXLol5766npXMnMzA5nYunIrwnVh1YNASY779UjK8spMzWTm5f1PQATw2NLHYu2SO428qpEj\n+/B0/HU0VBVC28o2PHTtQ64O6VYqySlRfUb7pX7sProb88fN92T/AFCcm76Ffb0o8q+c0ESZ/ZwR\nyEB+lvE996nuU75l87tpWc0y3fVezWibLszUQNS71rtJm83oFxavTy9F2UUpZcu1v88MJdu6+tUP\nJH7fAJv1232/deX3+pX2LksWZY89vA8TnRc6DV/Ty36QM5SczCw72Hkwbp1coNGLqbZ7B3pj0XNt\ngASIDFF586M3XW+H7EyPemZNeeihXpF0NySb3U2ChP6Bft1Mi2QP06nql/pjmVpeMgqupUtvnd6F\nveN0h6v7bJjcEDcjTWd3Jx7Z8Yju9rMrZmNU/ijH29HZ5f3xoEd7451s+HSoKoS1S9Y63o6ROSN1\ngzpePJxph5Nph/1t2rMJrbtaPb3/ubLqSt1M5MvHXu5ZG4D4bC2ts73u1AjR1tCrGFGBDa9vUK3b\n8PoGT+95+gfUAecJIyd4tu9k5Iyxwhz3sqiU1zA5+/mhax/Cjz/9Y3x09iPDn3PruuqnheMXomVR\ni+5rbv4N0pGZ56KNyzZ6mqWtHfrpV4kSbYdUok6JrIC3WZ/DUU9/T0qjJT4484HpbRlQIlOUF1Q/\nTlDJ6gVo6wblZeS52RzfJaoPpHfi3nl4p+PTUCc6Bg6ePOjYflLR3tGO61qv83SK55HZI1XL8own\nqxetjr1XAsK1mbU6TncknI1KQCAYCOoOYXGzFtkbh9/AwgkLXfv9esYXxs9+CJgbfujFcF69duRl\nunvOmlE+I64A+xuH39DNRMoMZKJ5QbNqGKdT3P53mnX0/FEAF4uXmhnCUTuqNi572S6jG20vHs4O\ndR5SLWvPA37UKHzvtP5wVS/79IIiiNpRtXHr2zvacc0T1+Db//Nt1wKjX778y6rl2WNmx93f5GTk\nmKqX55STXSdVy3rD6v0iD+N46q2nHPud2mFsRsG7nYd3Jgy2CiE8n+HUbYmycobiBB+JmO0su3rC\n1aplZcab07SdZqGqEF68/UXdYd5uUiZlBEUQ9y+43/CZoWfAu3NZuvEq+3dAGkjaSRVAIO5vZKWG\n4ZAIKAVc+GcMliFuWkumLXHl9/6fl/5PrDhXqCrk+UwXRkNYYjR/Lj+mpm5e0IxRec736OtJdGLQ\nSwE/cvYIQlUhR9PkC7KNL1B62UtuMHroajvYhu6+bk/aIJtWqp4xS86AkC/ocqFEt1KS93y8B+G6\nsO446YxABiRIvtSuKc8vx+rrVntaoNToIpgswLhwwkI8tuSxWC0wt64Deu0ozXVmOF6GiD/35Wbk\nor66XjdgoE3JXzhhIV647QWEqkKu3IQWZBWo3le/hoTI9XIkSKZSwds72rHgpwvispftGluoP5Tr\nN3t/4+h+9HT3q8+R8vAy5fBhz7MODE5RXg6n6Zf6dWsote5qRXd/t6sZWz957Seq5c37N8cPmxbe\nZvoNDKjrIWo7T5S8/DwLiNjDuZOzSsnnBpkyoNfe0Y76J+rx7f/5Nn6y8yfaH1UZkTVi0D5LGNm8\nf7Pha8NtkpxUswSLctwLKOnNABmqCrlatD6ZujF1ON112jC4OlSL15uRk5HjyXDurr6upAXkBzAA\nIUSsUzUoglh93WrT+xi0AaXxReMxr3IeGi9pxGemf8bv5vgmIAJoXtAcuwGcUe5OYdd+6eJQmfaO\ndvzp0J9c2Y+RZOnnXb3qm3w3eoWM0jLzM/Oxbuk6tCxqMZx1zGmJpg3WS8OtGFGB9o52vHjoRcfa\nMKHIOO29KNe9C6aSUY9YaV6pp7NMCIi4OkTKBzF5KGCoKuRasWM5iPL0nqdV6/My89A30AdAPUxQ\nKdkMV3bsP74foaoQXrjtBTx07UOGGVROMrp5SjYEQZ5ZauvKrbiz7k7XHga05ysgUm/DEZomVxdV\n4/mm5xGqCukGDLTBlJqymtgQLDcKyteU1yAnIwdBEURuRi7WLlmLmjJvZvKyw62hX0ZFfS/0XXB8\nX1p6s75ohw97nXUwq2KW7vqmmU2udB7KtNf3vce8mWVPSxso2nt8b9zQ7Tc/etPSFNB2aTMIJhZN\nNDw3Vo2s8qJJACIPY3LG7ZwK5+olajvLlB0Urbsis6lKkNA30JfwnDAqfxS+UPsFx9qVDhJN4CFf\nX7yqL6anYkSF4T2G08FOs/f72vuRz33ic462Q8mow9JoohIvJCsG/bXQ17xpCODLbLpGMgOZePiG\nh/GLz/7C9UC8BAmhqhDK8soSbtc30BfreJZrrpo1aANK5Xnl2HHHDjzz98+4UvTW72mNzbqy6kpM\nLp4cW3arXkkAgdiFu+1gW9zDulsXEDlYk2w4gvaENX6k/pAXO4zSMieMvFic2qsZYM71njN8TRLx\nNzhNM5uwZvsaRx+IEvXqP3DlA47tJxGjHjGva+VkB7PjghVGD2LTy6brrrdKO4OdnH2mLZipzZzS\n42bPonzTJQfV3CYgDGsbJCvgKgdqQ1UhjB853rWgpF6A/JKySxz53XLwUDa+cLyqRo9evTGvPd/0\nPP7lmn/B803Po3ZULQ6cPODp/rWzgvpZ+2P/Cf1pyLXXMDeKD1cVJn/49zrrQDnrnFKoKuTqZA/a\n6/uZ7jNx2zTNbIplP7sVbM4IqjMMp5dNj8sk6+7v9rTYb92YOtXyqjmrDGv2eZWd3HhJYyxQDjhb\ng250/mjVcqrZHXPGzME9l9/jRJPSRrLO3XBdGN+5+jsetSbe/LHzseOOHboZjcGAcw/t8rBwM5T1\nSwMigKLsIsfrkAkIZAWzDLNQvAxAa53uOm1YKqV5QTMap7szO7kexzruHNA70Iuvbv4qAMRGMbg1\no6b87Heu2/jZUbtt30Df8JvlzY0hJCOzR8Z6crXTkqeT0z2nceezd+K5d57Dnc/eiWf3PevKfgKB\ni4eKdqakjEAG5lbOdWW/98y7x9SDjza4oXcz6Jal05fGvk92sZXZDcAlquOxcLy6Xs28ynkIVYWw\n97i9Hldt7/CBE8YPgeG6sGuFCBsmNcTN6KaVLLPC6Z5uvWEwRg9izVc0O/Iw0iepAwdyAKtlUQua\nFzRjSvGUSPbiZPXMXnoPz+G6sGFmgB1BEYy76XJ7vLwEyXA2t6QBX0W8tb663pG/09TiqZhSPCXp\ncaustWWHdrhvsuHCTTObYkP8soPZqhtSN4YZleeXqzL22g62oa+/L/kPOtwGJTNZOG4NGbjQq5+J\npJ3lzY0ZXN/4KPm/W846cGsGWaVk03B7mclmNN23fE5wq9OxprxGNYtY8xXNaLxE/cDVeEkj9h3f\n58r+lQqzCrGidgV23LEjLrOxeUGzZx1ouiSojpUPTpsvHpuMNgNc2UFl5Tyw//h+3Ukw3DAqbxTW\nLV1nqeaJFYVZhaY6d4HEw+LcIF83MwIZsfuN+WPjyzs4UXcsKIK4q+6u2LBwM+qr65EdzEZQBJEd\nzEZ9dX3C2QFTUZ5XjraVbYZtum/+fY7uzyrtbLI15TWxkR1rtscPL3ZLouG6birJKdGNJXT3d6N1\nV2vsnig7w91ZK60mFSQaDaM1JAJKTTObHL+wVY2sivXkytOS6/UQ+p3JdOzcMdWyWzVSlJFKbfbH\n0qlL9X7EEfuOpXbTNKl4ksMt0RdAQFVgL1wXNhWAtHthSzTcTPtvnzMmkgqufYiySputkWzc8557\n9sRNU25XRX4Ftty6JWmGhR/T1+48sjP2nmQGMnWLugKRm2BtD2gqtJ915QxeLYtasP+r+9GyqEW3\nELMebeDJjhGZI3BX3V148fYX425wvJjRwyhDLVnAV3nchKpCSWfOSyY7mI0nbn4C+7+6P+lxq6y1\nZaeI+bXV16qWk/2bQ1UhbF25Fd+79nvYunKr6u+VbMx9KrSZfF4PTwWAslx12reZLBy3sh4vq7jM\n1HaF2c73XJqd2jlcF8atl93q+P61tSOSTcPtxr2eEb0MoNZdregd6AUQGVZfkOl8jbHCrMJYzSL5\n/xuXbcSK2hWxh5KNyza6PiSvcXojTj1wChuXbQQQn9kYqgqhbWWbb8ObXv7gZdVy0jqbFpzqMs5i\nsHIeqCys9GyW03+59l8Qrgu7Nqvs9xu+bzqrNdGwODesXbIWD137ELbdti12/Vo8dbHutnY6E3OC\nOXjx9hfx2NLHTAeTgMhnRZmVG6oK4d5P3ptyO/TkZeYlbJPZZxMnKTuptGUVxhWMix1Pbh0v2ix+\nACjJLYm7hnhR5+wf6v4B+4/rZyMr3T77dlf2L9fDtJxxbCGkMCQCSvKFzcnaHNoH/nBdGI8uflS1\nbkXtCk967fTI6Y1XV6tnD7hx+o2YWjLV4KecoZf94dYDvNmsGm2v0YrLViSc8cquAAIQEMgIZsTN\nmmWmjpU8w1CqUultMFN41oo75t6RdJstt25xtMfMbFFxOevCiHbWHCfkZ+bHHjZ6B3oT9kwaTWtv\nhXZo05YDW3S3Mztzk5O1UgqyCwxvusxm8dlhlKEWrgsbBmu02TkAMK0s+XBBI3fV3RUXoEnGiWGB\neZl5cdkEZvdrpa2p0g5N8bo3G7jYO2rlPXJDRiDDuOil5h53fJHzw7i/ddW3TG+rzGRzirZe0No/\nr024vXyvp83CdUJQBNEwqUEVtElmRLbzM3bu+GBHLMA6gAF884/fBBAJKh3/xvFYu+x2EDkhVBXy\nbXhTd696GGCiSUKsyg5mG2ZtJiN3MsvZZV7VINt5eCfWv7YeT+5+0vHfnZuRa+kcmaxmjtN2Ht4Z\nd/0yGvZu5/SVFcxK+RqpvcaG68KODntLVuajvaMd/7n7Px3bXzILxy9UdVJpz1fKZb17QidmU9Wr\nQ7hqzqq4eIGbkyzITnedNqy5pRw10LKoBStqVzierCJ3Ym9cttHSc7GVZ/shEVACIh/Wh2942LHf\n19vfG7dOTvOVb6h+secXrk0Bnkh5Xjm+d+330LayDTPKZ8TaI894oVdo064AArGLqvYAqxhR4dpw\nALO9kdpeo52HdyJcF45l59ilvNlsmNSAYCBoOGtWfXW9q7PMTS2emvDirhyrHBTB2N/t2Pljhj9j\n1biCcWhZ1GJqW202gB1mx6zLWRcPXfuQ6jMrqy6qdqxNQOTzoa1V9NbHbxlubzStvR1GvR96hZj1\naANNK2pXpDwEK9EsJnJ79KaPl2/g7Up0EdQOJQKAMSPGxAV/2jva8YOXfpDS/ouziy33YirpFe02\n68MzHzpWJ8mN4RraGite92ZnBDLQNLPJ8ntkVAMiVeMKxql61ONoLi0lOSWOdtysqF1h6fhQZrI5\nNTxWWwvQTA9uqCrkSodAv9SP5TXLVUEbLe1wYb37P7vDqbX1kt45+Y7udulSyF6+L55SPMXx62oi\ntRXqDOCrxl/l2O8Ozw0nzNo0mgV0wsgJyAhkQODiTEle1SA7cu4IHnn5EVd+t9WMaqc7L5PZc2xP\n3DqjIevaGfyssPOzWl98+os4dOqQY7+vJDf+vkZpzUtrPMsEDoogVi9arQqgaTOTlcvhunDcaAYn\nZlPV/v0bJjUgXBdGqCqEykJvJlCSHTl7BM0LmnVHdiiDzu0d7fjlnl86eqwB6pEryZ6L5XOY5WB6\nyq1LQ6GqkG6KWyqMCned7jodi2b29Pf4MoZ8wfgFsQ9qfXV9bMYcecYLNzIABjCAX+2U+Uh2AAAg\nAElEQVT9FQD9mhtuDQcw+3CpzUhwenaiAWkAz7/7PE50ncAf3vmDKhNFW7QsVBXCuEL30sB7pfhg\np5JyrHK/1I/dR3cDAL5wmXOzjSydZn6YY7ILnVkjMkeklO3RsqgFjy99HEERjB2z986/V3UM5wbt\nFSwszSuNu/Hf8f4Ow+2N6nNYof1sFOcaB5JTCTAsnLAw5eBOsgy6cF0YP/zUD1XrphRPwfYvbU85\n61O+wbd6EQQiATDtsdV2sC3li7rdIs92zuFOnv+NalHZoX3o9CJjTWlswdiUAn2hqpCjhZAnlUxK\n2A69jpsH6x90bP/JZjzUI59T1346cSZRqszOmqQc3uukZLNdarNNtBlWQHxRbau097BG1+2mmU2u\nllwwG7xs72jHD9t/iAMnD8TNJOXWdNh6mX3NC5odeT+mlkxFy6IWw6xNZWD1/gX3q16bPWY2+gf6\nIUFC/0BkZmSvhhpV5Fe4lmlhNWvWjdlBEzHqgNG+H6U59q5nTiYQOJ2Ze6LrRMLXvZi1MlGpg2SZ\n8nrnUrtG5ozEitoVscDSC4deQHtHOwB3ai8nI892rC1CrnwvWne1xnUqOEFZc08vAFuRXxHrdN52\n2zbdYHoy7qVR+GRO5RxsO7TN9u8ZW6h/IdSeKL2oB6Kl/CDIY3PbDrahvrre1SELT+95Onah3bpy\nq2qfVirBW6Gdit2I3s03ELnpevy1x223Q4IUC9JoL1J7PlZ/ONs72nGo07mehwACqp6FZHUvtDfF\nm/ZsQrguHMsokqeVtzqzknxSzgxmulJbJRk7F/NwXRi1o2pVx6xyufHnjbhwPvVpuj8+/3HcdJza\n2daUnJgJR3vR6R/oN9jSHL3j5uZLbzadQl+QVYDQuBCW1yw3FbiqHVUbO7YDCKD15khhwsKcwqQ3\nRxmBjLghf3fW3YnxI8cnPQ/qPSjpDR+RezhTuUm/cry92ajCdWE8uftJy9eyouwiR4dvGQ4bsEE7\ns5jc3k17NuEvR//i+sPIoVOHsP619am9Tw4+ryXLMGma2YSfvfGzWMdV08ym2HG94fUNeOXDV2zt\n307mRKgqhJxgjiO9yEqLJi0ytV1RdlHKn03ZvMp5eOvjt1RZUsmGkS2vWY7n3nkutnxp+aX4+JA6\nMFeSU2KpkKnW+JHjsXT6Ujy952ksq1lmmAkcqgrhyqorse09+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KUDJ9Qz/hmNk9dKlJY7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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-bcbXpZr3TrE"
      },
      "source": [
        "# EXPLORATORY DATA ANALYSIS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mdu6bVoF3TrI"
      },
      "source": [
        "data['date'] = data.index\n",
        "data['hour'] = data['date'].dt.hour\n",
        "data['week day'] = data['date'].dt.dayofweek\n",
        "data['quarter of year'] = data['date'].dt.quarter\n",
        "data['month'] = data['date'].dt.month\n",
        "data['year'] = data['date'].dt.year\n",
        "data['day of year'] = data['date'].dt.dayofyear\n",
        "data['day of month'] = data['date'].dt.day\n",
        "data['week of year'] = data['date'].dt.weekofyear\n",
        "data = data.drop(['date'], axis = 1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A19nz9Ih3TrX",
        "outputId": "5dc2bf3a-2877-4b06-953d-f2879f07b9d3"
      },
      "source": [
        "data.tail(5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PJME_MW</th>\n",
              "      <th>hour</th>\n",
              "      <th>week day</th>\n",
              "      <th>quarter of year</th>\n",
              "      <th>month</th>\n",
              "      <th>year</th>\n",
              "      <th>day of year</th>\n",
              "      <th>day of month</th>\n",
              "      <th>week of year</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Datetime</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2018-01-01 20:00:00</th>\n",
              "      <td>44284.0</td>\n",
              "      <td>20</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-01 21:00:00</th>\n",
              "      <td>43751.0</td>\n",
              "      <td>21</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-01 22:00:00</th>\n",
              "      <td>42402.0</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-01 23:00:00</th>\n",
              "      <td>40164.0</td>\n",
              "      <td>23</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-02 00:00:00</th>\n",
              "      <td>38608.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2018</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     PJME_MW  hour  week day  quarter of year  month  year  \\\n",
              "Datetime                                                                     \n",
              "2018-01-01 20:00:00  44284.0    20         0                1      1  2018   \n",
              "2018-01-01 21:00:00  43751.0    21         0                1      1  2018   \n",
              "2018-01-01 22:00:00  42402.0    22         0                1      1  2018   \n",
              "2018-01-01 23:00:00  40164.0    23         0                1      1  2018   \n",
              "2018-01-02 00:00:00  38608.0     0         1                1      1  2018   \n",
              "\n",
              "                     day of year  day of month  week of year  \n",
              "Datetime                                                      \n",
              "2018-01-01 20:00:00            1             1             1  \n",
              "2018-01-01 21:00:00            1             1             1  \n",
              "2018-01-01 22:00:00            1             1             1  \n",
              "2018-01-01 23:00:00            1             1             1  \n",
              "2018-01-02 00:00:00            2             2             1  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "21vCrP4C3Trw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 190
        },
        "outputId": "b3b00774-e4b2-471c-c012-9ccdf737b26a"
      },
      "source": [
        "data.isnull().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PJME_MW            0\n",
              "hour               0\n",
              "week day           0\n",
              "quarter of year    0\n",
              "month              0\n",
              "year               0\n",
              "day of year        0\n",
              "day of month       0\n",
              "week of year       0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i7yqnZVK3TsE",
        "outputId": "a903c455-ddd8-4891-a264-f864b844efa3"
      },
      "source": [
        "plt.figure(figsize = (15,5))\n",
        "sns.barplot('week of year','PJME_MW', data = data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x2a3288b9be0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "njqhv1bG3TsY",
        "outputId": "5f82f281-5277-4e0a-f906-3ee25a3d0b99"
      },
      "source": [
        "plt.figure(figsize = (20,5))\n",
        "sns.barplot('year','PJME_MW', data = data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x2a328dcfdd8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VHRDb0Mk3Tsr",
        "outputId": "d3d03c9c-6138-436d-c0fe-b21bb4fd220a"
      },
      "source": [
        "plt.figure(figsize = (20,5))\n",
        "sns.barplot('hour','PJME_MW', data = data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x2a328ddba58>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2qFrCzGT3Ts-",
        "outputId": "d8afde18-3d7a-4086-dce6-0b074e592269"
      },
      "source": [
        "plt.figure(figsize = (10,5))\n",
        "sns.barplot('quarter of year','PJME_MW', data = data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x2a328dc1668>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnUAAAFACAYAAADaqIrXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAHQ5JREFUeJzt3X+0XXV55/H3xwSEKjZQojAkNIymrZTWoCnQMp1aVAi0U3CNtDgtpJSutA6M2h8itmuKP8rUWls7tEpLJQPMWJCKlixXKKYIUh1+JEAEIlJSQAkQiAYURkUDz/xxvimn4d7cc5OcnHv3fb/WOuvs8+zv3ufZWWddPux9vmenqpAkSdL09oJRNyBJkqSdZ6iTJEnqAEOdJElSBxjqJEmSOsBQJ0mS1AGGOkmSpA4w1EmSJHWAoU6SJKkDDHWSJEkdMHvUDYzC/vvvXwsWLBh1G5IkSRO69dZbv1ZVcycaNyND3YIFC1izZs2o25AkSZpQkq8MMs7Lr5IkSR1gqJMkSeoAQ50kSVIHGOokSZI6wFAnSZLUAYY6SZKkDjDUSZIkdYChTpIkqQMMdZIkSR1gqJMkSeqAGXmbMEnS8J199tls3LiRAw44gA984AOjbkfqvKGeqUuyV5Jbknwxybok72n1i5Pcn2Rteyxq9SQ5P8n6JHckeXXfvpYmubc9lvbVX5PkzrbN+UkyzGOSJA1m48aNPPTQQ2zcuHHUrUgzwrDP1D0NHFNVTyXZA/h8kqvbundU1Se2GX88sLA9jgQuAI5Msh9wLrAYKODWJCuq6vE2ZhlwE7ASWAJcjSRNE0f/xdGjbmEo9nxiT17AC3jwiQc7e4xf+G9fGHUL0r8a6pm66nmqvdyjPWo7m5wIXNq2uwmYk+RA4DhgVVVtbkFuFbCkrXtJVd1YVQVcCpw0tAOSJA2svq949kXPUt+3vT/7knaVoU+USDIryVrgMXrB7Oa26rx2ifVDSV7YagcBD/ZtvqHVtlffMEZdkjRi3zv6e3z3Dd/le0d/b9StSDPC0ENdVT1TVYuAecARSQ4D3gX8CPATwH7AO9vwsb4PVztQf54ky5KsSbJm06ZNkzwKSZKkqW23/aRJVT0BXA8sqapH2iXWp4H/BRzRhm0A5vdtNg94eIL6vDHqY73/hVW1uKoWz507dxcckSRJ0tQx7Nmvc5PMact7A68Hvty+C0ebqXoScFfbZAVwWpsFexTwjap6BLgGODbJvkn2BY4FrmnrnkxyVNvXacBVwzwmSZKkqWjYs18PBC5JMotegLyiqj6d5LNJ5tK7fLoW+M02fiVwArAe+BZwOkBVbU7yPmB1G/feqtrclt8CXAzsTW/WqzNfJUnSjDPUUFdVdwCHj1E/ZpzxBZw5zrrlwPIx6muAw3auU0mSpOnN24RJkiR1gKFOkiSpAwx1kiRJHWCokyRJ6gBDnSRJUgcY6iRJkjrAUCdJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHTDUe792zWvecemoW9AOuvVPTht1C5IkDZVn6iRJkjrAUCdJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHWCokyRJ6gBDnSRJUgcY6iRJkjrAUCdJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHWCokyRJ6gBDnSRJUgcMNdQl2SvJLUm+mGRdkve0+iFJbk5yb5KPJ9mz1V/YXq9v6xf07etdrX5PkuP66ktabX2Sc4Z5PJIkSVPV7CHv/2ngmKp6KskewOeTXA38NvChqro8yV8BZwAXtOfHq+oVSU4B/hj4pSSHAqcAPwr8O+Afk/xQe48PA28ANgCrk6yoqi8N+bikGevss89m48aNHHDAAXzgAx8YdTuSOsK/LTtvqKGuqgp4qr3coz0KOAb4L61+CfBueqHuxLYM8AngL5Ok1S+vqqeB+5OsB45o49ZX1X0ASS5vYw11GqmvvvfHRt3C0Gz40n48+u3ZbNn8lc4e58F/cOeoW5BmnI0bN/LQQw+Nuo1pbdhn6kgyC7gVeAW9s2r/AjxRVVvakA3AQW35IOBBgKrakuQbwA+0+k19u+3f5sFt6keO08cyYBnAwQcfvHMHJUnSCHzuP/7MqFsYmm/PngUJ396wobPH+TM3fG6o+x/6RImqeqaqFgHz6J1de+VYw9pzxlk32fpYfVxYVYuravHcuXMnblzSmPbf61letvcW9t/r2VG3IqlD5lSxXxVzasz/jGsAQz9Tt1VVPZHkeuAoYE6S2e1s3Tzg4TZsAzAf2JBkNvD9wOa++lb924xXlzQEv/vjT4y6BUkd9CvP+D+KO2vYs1/nJpnTlvcGXg/cDVwHvKkNWwpc1ZZXtNe09Z9t38tbAZzSZsceAiwEbgFWAwvbbNo96U2mWDHMY5IkSZqKhn2m7kDgkva9uhcAV1TVp5N8Cbg8yR8CtwMXtfEXAf+7TYTYTC+kUVXrklxBbwLEFuDMqnoGIMlZwDXALGB5Va0b8jFJkiRNOcOe/XoHcPgY9ft4bvZqf/07wMnj7Os84Lwx6iuBlTvdrCRJ0jTmHSUkSZI6wFAnSZLUAYY6SZKkDjDUSZIkdYChTpIkqQMMdZIkSR1gqJMkSeoAQ50kSVIHGOokSZI6wFAnSZLUAYY6SZKkDjDUSZIkdYChTpIkqQMMdZIkSR1gqJMkSeoAQ50kSVIHGOokSZI6wFAnSZLUAYY6SZKkDjDUSZIkdYChTpIkqQMMdZIkSR1gqJMkSeoAQ50kSVIHGOokSZI6wFAnSZLUAYY6SZKkDhhqqEsyP8l1Se5Osi7J21r93UkeSrK2PU7o2+ZdSdYnuSfJcX31Ja22Psk5ffVDktyc5N4kH0+y5zCPSZIkaSoa9pm6LcDvVNUrgaOAM5Mc2tZ9qKoWtcdKgLbuFOBHgSXAR5LMSjIL+DBwPHAo8Oa+/fxx29dC4HHgjCEfkyRJ0pQz1FBXVY9U1W1t+UngbuCg7WxyInB5VT1dVfcD64Ej2mN9Vd1XVd8FLgdOTBLgGOATbftLgJOGczSSJElT1277Tl2SBcDhwM2tdFaSO5IsT7Jvqx0EPNi32YZWG6/+A8ATVbVlm7okSdKMsltCXZIXA1cCb6+qbwIXAC8HFgGPAH+6degYm9cO1MfqYVmSNUnWbNq0aZJHIEmSNLUNPdQl2YNeoPtYVX0SoKoerapnqupZ4G/oXV6F3pm2+X2bzwMe3k79a8CcJLO3qT9PVV1YVYuravHcuXN3zcFJkiRNEcOe/RrgIuDuqvqzvvqBfcPeCNzVllcApyR5YZJDgIXALcBqYGGb6bonvckUK6qqgOuAN7XtlwJXDfOYJEmSpqLZEw/ZKUcDpwJ3Jlnbar9Hb/bqInqXSh8AfgOgqtYluQL4Er2Zs2dW1TMASc4CrgFmAcural3b3zuBy5P8IXA7vRApSZI0oww11FXV5xn7e28rt7PNecB5Y9RXjrVdVd3Hc5dvJUmSZiTvKCFJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHWCokyRJ6gBDnSRJUgcY6iRJkjrAUCdJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHWCokyRJ6gBDnSRJUgcY6iRJkjrAUCdJktQBhjpJkqQOMNRJkiR1gKFOkiSpA2ZPNCDJF4HPA/8X+EJVPTDspiRJkjQ5g5yp+2Xgi8AbgM8keSjJ3yX5rSRHDrc9SZIkDWLCM3VVdRdwF3AhQJL9gVOAtwMfBGYNs0FJkiRNbJDLr7OAw4GfAo4GXg48BHwUuHGo3UmSJGkgE4Y64JvA3cCHgXOq6v7htiRJkqTJGiTU/Trwk+359CSr6Z2hu7GqHhpmc5IkSRrMIN+puwy4DCDJ9wFH0LsM+0dJ9qyqHxxui5IkSZrIIGfqSPIi4Eie+17dTwAPAl8YXmuSJEka1IQ/aZLkduCrwDvpzXT9U2BBVR1eVWdNsO38JNcluTvJuiRva/X9kqxKcm973rfVk+T8JOuT3JHk1X37WtrG35tkaV/9NUnubNucnyQ79C8hSZI0jQ1ypm4pcGdV1Q7sfwvwO1V1W5J9gFuTrAJ+Fbi2qt6f5BzgHHqh8XhgYXscCVwAHJlkP+BcYDFQbT8rqurxNmYZcBOwElgCXL0DvUqSJE1bg4S61wOvH+8EWFX92XgbVtUjwCNt+ckkdwMHAScCr23DLgGupxfqTgQubQHypiRzkhzYxq6qqs0ALRguSXI98JKqurHVLwVOwlAnSZJmmEFC3QeBtfSC0tPADl3eTLKA3u/d3Qy8rAU+quqRJC9tww6i9129rTa02vbqG8aoj/X+y+id0ePggw/ekUOQJEmasgYJda+mdweJnwNupTcT9trJXI5N8mLgSuDtVfXN7XztbawVtQP15xerLqTdFWPx4sU7cilZkiRpyppwokRVra2qc6pqEXARvUukX0ryC4O8QZI96AW6j1XVJ1v50XZZlfb8WKtvAOb3bT4PeHiC+rwx6pIkSTPKhKFuqyRz6V0+/TF6Yeqx7W/Rm81KLwjevc1371bQm4BBe76qr35amwV7FPCNdpn2GuDYJPu2mbLHAte0dU8mOaq912l9+5IkSZoxBrn36+nALwF7AZ8AfrGqJgx0zdHAqcCdSda22u8B7weuSHIGvZ9LObmtWwmcAKwHvgWcDlBVm5O8D1jdxr1366QJ4C3AxcDe9L735yQJSZI04wzynbqLgDvpha/j6J0x+9eVVTXuZdiq+jzjT6x43RjjCzhznH0tB5aPUV8DHDZ++5IkSd03SKj72aF3IUmSpJ0yyL1fPzfIjpJcWVX/eedbkiRJ0mQNPFFiAP9+F+5LkiRJk7ArQ52//SZJkjQiuzLUSZIkaUR2ZajboduHSZIkaedNGOqSvGQ76/pvovrOXdKRJEmSJm2QM3XXb11Icu026/5+60JVfWYX9SRJkqRJGiTU9V9W3W876yRJkjQig4S6Gmd5rNeSJEkagUHuKPHSJL9N76zc1mXa67lD60ySJEkDGyTU/Q2wzxjLAB/d5R1JkiRp0ga5Tdh7dkcjkiRJ2nEThrok529vfVW9dde1I0mSpB0xyOXX3wTuAq4AHsYZr5IkSVPOIKHuQOBk4JeALcDHgSur6vFhNiZJkqTBTfiTJlX19ar6q6r6WeBXgTnAuiSnDrs5SZIkDWaQM3UAJHk18GbgDcDVwK3DakqSJEmTM8hEifcAPw/cDVwOvKuqtgy7MUmSJA1ukDN1/x24D3hVe/yPJNCbMFFV9ePDa0+SJEmDGCTUHTL0LiRJkrRTBvnx4a/sjkYkSZK04wb5Tt2TQPHc79NV3+qngX8Bfr+qrt317UmSJGkQg5yp22e8dUlmAYcBH2vPkiRJGoFBztTtRe+uEq8A7gCWb539WlXPAF9M8hdD7VKSJEnbNeGPDwOXAIuBO4ETgD/ddkBV/fUu7kuSJEmTMMjs10Or6scAklwE3DLcliRJkjRZg5yp+97Whcn+6HCS5UkeS3JXX+3dSR5KsrY9Tuhb964k65Pck+S4vvqSVluf5Jy++iFJbk5yb5KPJ9lzMv1JkiR1xSCh7lVJvtkeTwI/vnU5yTcn2PZiYMkY9Q9V1aL2WAmQ5FDgFOBH2zYfSTKrTcb4MHA8cCjw5jYW4I/bvhYCjwNnDHA8kiRJnTNhqKuqWVX1kvbYp6pm9y2/ZIJtbwA2D9jLicDlVfV0Vd0PrAeOaI/1VXVfVX2X3q3KTkzvthbHAJ9o218CnDTge0mSJHXKIGfqhuGsJHe0y7P7ttpBwIN9Yza02nj1HwCe6LskvLU+piTLkqxJsmbTpk276jgkSZKmhFGEuguAlwOLgEd4bjZtxhhbO1AfU1VdWFWLq2rx3LlzJ9exJEnSFDfI7Nddqqoe3bqc5G+AT7eXG4D5fUPnAQ+35bHqXwPmJJndztb1j5ckSZpRdvuZuiQH9r18I7B1ZuwK4JQkL0xyCLCQ3s+nrAYWtpmue9KbTLGiqgq4DnhT234pcNXuOAZJkqSpZqhn6pJcBrwW2D/JBuBc4LVJFtG7VPoA8BsAVbUuyRXAl4AtwJntjhUkOQu4BphF744W69pbvBO4PMkfArcDFw3zeCRJkqaqoYa6qnrzGOVxg1dVnQecN0Z9JbByjPp99GbHSpIkzWijmv0qSZKkXchQJ0mS1AGGOkmSpA4w1EmSJHWAoU6SJKkDDHWSJEkdYKiTJEnqAEOdJElSBxjqJEmSOsBQJ0mS1AGGOkmSpA4w1EmSJHWAoU6SJKkDDHWSJEkdYKiTJEnqAEOdJElSBxjqJEmSOsBQJ0mS1AGGOkmSpA4w1EmSJHWAoU6SJKkDDHWSJEkdYKiTJEnqAEOdJElSBxjqJEmSOsBQJ0mS1AGGOkmSpA4w1EmSJHXAUENdkuVJHktyV19tvySrktzbnvdt9SQ5P8n6JHckeXXfNkvb+HuTLO2rvybJnW2b85NkmMcjSZI0VQ37TN3FwJJtaucA11bVQuDa9hrgeGBheywDLoBeCATOBY4EjgDO3RoE25hlfdtt+16SJEkzwlBDXVXdAGzepnwicElbvgQ4qa9+afXcBMxJciBwHLCqqjZX1ePAKmBJW/eSqrqxqgq4tG9fkiRJM8oovlP3sqp6BKA9v7TVDwIe7Bu3odW2V98wRn1MSZYlWZNkzaZNm3b6ICRJkqaSqTRRYqzvw9UO1MdUVRdW1eKqWjx37twdbFGSJGlqGkWoe7RdOqU9P9bqG4D5fePmAQ9PUJ83Rl2SJGnGGUWoWwFsncG6FLiqr35amwV7FPCNdnn2GuDYJPu2CRLHAte0dU8mOarNej2tb1+SJEkzyuxh7jzJZcBrgf2TbKA3i/X9wBVJzgC+Cpzchq8ETgDWA98CTgeoqs1J3gesbuPeW1VbJ1+8hd4M272Bq9tDkiRpxhlqqKuqN4+z6nVjjC3gzHH2sxxYPkZ9DXDYzvQoSZLUBVNpooQkSZJ2kKFOkiSpAwx1kiRJHWCokyRJ6gBDnSRJUgcY6iRJkjrAUCdJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHWCokyRJ6gBDnSRJUgcY6iRJkjrAUCdJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHWCokyRJ6gBDnSRJUgcY6iRJkjrAUCdJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHTCyUJfkgSR3JlmbZE2r7ZdkVZJ72/O+rZ4k5ydZn+SOJK/u28/SNv7eJEtHdTySJEmjNOozdT9bVYuqanF7fQ5wbVUtBK5trwGOBxa2xzLgAuiFQOBc4EjgCODcrUFQkiRpJhl1qNvWicAlbfkS4KS++qXVcxMwJ8mBwHHAqqraXFWPA6uAJbu7aUmSpFEbZagr4DNJbk2yrNVeVlWPALTnl7b6QcCDfdtuaLXx6s+TZFmSNUnWbNq0aRcehiRJ0ujNHuF7H11VDyd5KbAqyZe3MzZj1Go79ecXqy4ELgRYvHjxmGMkSZKmq5Gdqauqh9vzY8Cn6H0n7tF2WZX2/FgbvgGY37f5PODh7dQlSZJmlJGEuiQvSrLP1mXgWOAuYAWwdQbrUuCqtrwCOK3Ngj0K+Ea7PHsNcGySfdsEiWNbTZIkaUYZ1eXXlwGfSrK1h7+tqn9Ishq4IskZwFeBk9v4lcAJwHrgW8DpAFW1Ocn7gNVt3HuravPuOwxJkqSpYSShrqruA141Rv3rwOvGqBdw5jj7Wg4s39U9SpIkTSdT7SdNJEmStAMMdZIkSR1gqJMkSeoAQ50kSVIHGOokSZI6wFAnSZLUAYY6SZKkDjDUSZIkdYChTpIkqQMMdZIkSR1gqJMkSeoAQ50kSVIHGOokSZI6wFAnSZLUAYY6SZKkDjDUSZIkdYChTpIkqQMMdZIkSR1gqJMkSeoAQ50kSVIHGOokSZI6wFAnSZLUAYY6SZKkDjDUSZIkdYChTpIkqQMMdZIkSR1gqJMkSeqAToS6JEuS3JNkfZJzRt2PJEnS7jbtQ12SWcCHgeOBQ4E3Jzl0tF1JkiTtXtM+1AFHAOur6r6q+i5wOXDiiHuSJEnarboQ6g4CHux7vaHVJEmSZozZo25gF8gYtXreoGQZsKy9fCrJPUPtavrZH/jaqJsYlnxw6ahb6JpOf144d6w/K9pBnf6s5K1+VnaxTn9eyA5/Xn5wkEFdCHUbgPl9r+cBD287qKouBC7cXU1NN0nWVNXiUfeh6cHPiwblZ0WT4edl53Th8utqYGGSQ5LsCZwCrBhxT5IkSbvVtD9TV1VbkpwFXAPMApZX1boRtyVJkrRbTftQB1BVK4GVo+5jmvPStCbDz4sG5WdFk+HnZSek6nlzCiRJkjTNdOE7dZIkSTOeoU6SJKkDDHUzXJLlSR5Lcteoe9HUlmR+kuuS3J1kXZK3jbonTV1J9kpyS5Ivts/Le0bdk6a2JLOS3J7k06PuZboy1OliYMmom9C0sAX4nap6JXAUcKb3WdZ2PA0cU1WvAhYBS5IcNeKeNLW9Dbh71E1MZ4a6Ga6qbgA2j7oPTX1V9UhV3daWn6T3x9db8mlM1fNUe7lHezgzT2NKMg/4OeCjo+5lOjPUSZq0JAuAw4GbR9uJprJ2OW0t8Biwqqr8vGg8fw6cDTw76kamM0OdpElJ8mLgSuDtVfXNUfejqauqnqmqRfRu33hEksNG3ZOmniQ/DzxWVbeOupfpzlAnaWBJ9qAX6D5WVZ8cdT+aHqrqCeB6/P6uxnY08AtJHgAuB45J8n9G29L0ZKiTNJAkAS4C7q6qPxt1P5raksxNMqct7w28HvjyaLvSVFRV76qqeVW1gN792z9bVb8y4ramJUPdDJfkMuBG4IeTbEhyxqh70pR1NHAqvf+LXtseJ4y6KU1ZBwLXJbkDWE3vO3X+VIU0RN4mTJIkqQM8UydJktQBhjpJkqQOMNRJkiR1gKFOkiSpAwx1kiRJHWCok6Q+SeYk+a9D3P9PJ1nXfhJm72G9j6SZx1AnSU2SWcAcYFKhLj2D/j39ZeCDVbWoqr492R4nqx2TpBnAUCdpWkry+0nuSfKPSS5L8rutfn2SxW15/3brIZIsSPJPSW5rj59q9dcmuS7J3wJ3Au8HXt7OpP1JG/OOJKuT3JHkPX37uzvJR4DbgPnb9Pe6JLcnuTPJ8iQvTPLrwC8Cf5DkY9uMf1+St/W9Pi/JW8d7/1b/+yS3tjN/y/rqTyV5b5KbgZ/cJf/gkqa82aNuQJImK8lr6N1O6HB6f8duAya6GfhjwBuq6jtJFgKXAYvbuiOAw6rq/iQL2vKi9l7HAgvbmAArkvxH4KvADwOnV9W/ObOXZC/gYuB1VfXPSS4F3lJVf57kPwCfrqpPbNPfRcAngf/ZzvqdAhwx3vtX1Q3Ar1XV5nYZd3WSK6vq68CLgLuq6g8G+OeU1BGGOknT0U8Dn6qqbwEkWTHANnsAf5lkEfAM8EN9626pqvvH2e7Y9ri9vX4xvZD1VeArVXXTGNv8MHB/Vf1ze30JcCbw5+M1V1UPJPl6ksOBlwG3V9XXW6gb6/1vAN6a5I2tPr/Vv96O78rx3ktSNxnqJE1X493jcAvPfbVkr776bwGPAq9q67/Tt+7/bed9AvxRVf31vyn2zuiNt122s7/t+Sjwq8ABwPIJ3v+1wOuBn6yqbyW5nueO9ztV9cwO9iBpmvI7dZKmoxuANybZO8k+wH/qW/cA8Jq2/Ka++vcDj1TVs8CpwHgTCJ4E9ul7fQ3wa0leDJDkoCQvnaC/LwMLkryivT4V+NwE2wB8ClgC/ER73+29//cDj7dA9yPAUQPsX1KHeaZO0rRTVbcl+TiwFvgK8E99qz8IXJHkVOCzffWPAFcmORm4jnHOsrVLnl9IchdwdVW9I8krgRuTADwF/Aq9S5zj9fedJKcDf5dkNrAa+KsBjuu7Sa4Dnth6pq2qPjPO+/8D8JtJ7gDuAca6DCxpBknVeFcwJGl6SPJu4Kmq+uCoe9kZbYLEbcDJVXXvqPuRNL14+VWSpoAkhwLrgWsNdJJ2hGfqJEmSOsAzdZIkSR1gqJMkSeoAQ50kSVIHGOokSZI6wFAnSZLUAf8fekvZXQ42hZMAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PBV2C6k63TtS",
        "outputId": "17ca0088-afc3-4a96-bc5e-509ce7350e71"
      },
      "source": [
        "plt.figure(figsize = (20,5))\n",
        "sns.barplot('week day','PJME_MW', data = data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x2a32a3b0c50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S1gDDZ8I3Ttl",
        "outputId": "22edee66-838c-4c72-9389-dc7ce949daf8"
      },
      "source": [
        "plt.figure(figsize = (25,5))\n",
        "sns.barplot('day of year','PJME_MW', data = data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x2a320126128>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2z3qLi-o3Tt8",
        "outputId": "5cb4903b-d879-4bff-a7ba-3cbfc2ec64b4"
      },
      "source": [
        "plt.figure(figsize = (15,5))\n",
        "sns.barplot('month','PJME_MW', data = data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x2a32a51a908>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UE9clvjQ3TuU",
        "outputId": "a30692ea-d9e0-4c99-d685-09a72d65bcf3"
      },
      "source": [
        "plt.figure(figsize = (25,25))\n",
        "data.corr()\n",
        "sns.heatmap(data.corr(), annot = True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x2a32d89f198>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x1800 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a1BNq3Hi3Tuy"
      },
      "source": [
        "# BUILDING A MODEL"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zxkg_oU83Tu2"
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X = data.drop(['PJME_MW'], axis = 1)\n",
        "Y = data['PJME_MW']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xkGQlRRv3TvE"
      },
      "source": [
        "x_train,x_test,y_train, y_test = train_test_split(X,Y, random_state = 42, test_size = 0.25)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q1P-Sz5S3TvR",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "outputId": "1183af6a-b585-4c81-9beb-fe4d7e0c6b35"
      },
      "source": [
        "x_train.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "hour               int64\n",
              "week day           int64\n",
              "quarter of year    int64\n",
              "month              int64\n",
              "year               int64\n",
              "day of year        int64\n",
              "day of month       int64\n",
              "week of year       int64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dPkAgkzu3Tvt"
      },
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "lr = LogisticRegression()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qNH3FH7D3TwD",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 210
        },
        "outputId": "89481fa6-3c9d-42bb-eb9d-211f2af20a99"
      },
      "source": [
        "lr.fit(x_train,y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
            "  FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/logistic.py:460: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n",
            "  \"this warning.\", FutureWarning)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JE3TAkX33TwP"
      },
      "source": [
        "lr.intercept_"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wb60nlXe7KK_"
      },
      "source": [
        "test = lr.predict(x_test)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bus2Ii6yAtYB"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CJpliitVAvte"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z1q685XNAxcz"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}