Time_Series_using_Prophet_Trend_Non_Stationary.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Time Series using Prophet Trend Non-Stationary.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOQZTAELCd1h2lykGykVzNc",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/srivatsan88/End-to-End-Time-Series/blob/master/Time_Series_using_Prophet_Trend_Non_Stationary.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ze0vbcQHWq-X",
        "colab_type": "text"
      },
      "source": [
        "Link to video explaining the code - https://www.youtube.com/watch?v=iuwcHhGNb8A"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NUe7BW37S6VA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 383
        },
        "outputId": "1c229a0e-d0dd-45a0-a44f-527d04f61cc9"
      },
      "source": [
        "!pip install fbprophet"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: fbprophet in /usr/local/lib/python3.6/dist-packages (0.6)\n",
            "Requirement already satisfied: Cython>=0.22 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (0.29.20)\n",
            "Requirement already satisfied: cmdstanpy==0.4 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (0.4.0)\n",
            "Requirement already satisfied: pystan>=2.14 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (2.19.1.1)\n",
            "Requirement already satisfied: numpy>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (1.18.5)\n",
            "Requirement already satisfied: pandas>=0.23.4 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (1.0.5)\n",
            "Requirement already satisfied: matplotlib>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (3.2.2)\n",
            "Requirement already satisfied: LunarCalendar>=0.0.9 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (0.0.9)\n",
            "Requirement already satisfied: convertdate>=2.1.2 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (2.2.1)\n",
            "Requirement already satisfied: holidays>=0.9.5 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (0.9.12)\n",
            "Requirement already satisfied: setuptools-git>=1.2 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (1.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.0 in /usr/local/lib/python3.6/dist-packages (from fbprophet) (2.8.1)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.23.4->fbprophet) (2018.9)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.0.0->fbprophet) (2.4.7)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.0.0->fbprophet) (0.10.0)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.0.0->fbprophet) (1.2.0)\n",
            "Requirement already satisfied: ephem>=3.7.5.3 in /usr/local/lib/python3.6/dist-packages (from LunarCalendar>=0.0.9->fbprophet) (3.7.7.1)\n",
            "Requirement already satisfied: pymeeus<=1,>=0.3.6 in /usr/local/lib/python3.6/dist-packages (from convertdate>=2.1.2->fbprophet) (0.3.7)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from holidays>=0.9.5->fbprophet) (1.12.0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CY5G7SE9PLEB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import os\n",
        "from datetime import datetime\n",
        "import pandas as pd\n",
        "import plotly.express as px\n",
        "\n",
        "mpl.rcParams['figure.figsize'] = (10, 8)\n",
        "mpl.rcParams['axes.grid'] = False\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PJaoc_EcR1pB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df = pd.read_csv('https://raw.githubusercontent.com/srivatsan88/YouTubeLI/master/dataset/amazon_revenue_profit.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vjjJKsOR5GtF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df['Quarter']=pd.to_datetime(df['Quarter'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gQjU-JsX58EB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 199
        },
        "outputId": "0204398d-cb5d-4229-820d-5b1f6a97fd4d"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 61 entries, 0 to 60\n",
            "Data columns (total 3 columns):\n",
            " #   Column      Non-Null Count  Dtype         \n",
            "---  ------      --------------  -----         \n",
            " 0   Quarter     61 non-null     datetime64[ns]\n",
            " 1   Revenue     61 non-null     int64         \n",
            " 2   Net Income  61 non-null     int64         \n",
            "dtypes: datetime64[ns](1), int64(2)\n",
            "memory usage: 1.6 KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ALsQm_eoVsh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 198
        },
        "outputId": "633d5aee-eb67-42ae-ef8c-4f73365f4597"
      },
      "source": [
        "df.head()"
      ],
      "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>Quarter</th>\n",
              "      <th>Revenue</th>\n",
              "      <th>Net Income</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>75452</td>\n",
              "      <td>2535</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2019-12-31</td>\n",
              "      <td>87437</td>\n",
              "      <td>3268</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2019-09-30</td>\n",
              "      <td>69981</td>\n",
              "      <td>2134</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2019-06-30</td>\n",
              "      <td>63404</td>\n",
              "      <td>2625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2019-03-31</td>\n",
              "      <td>59700</td>\n",
              "      <td>3561</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     Quarter  Revenue  Net Income\n",
              "0 2020-03-31    75452        2535\n",
              "1 2019-12-31    87437        3268\n",
              "2 2019-09-30    69981        2134\n",
              "3 2019-06-30    63404        2625\n",
              "4 2019-03-31    59700        3561"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lkozon5gA6GI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "4d569d33-e056-4d4f-c70f-1a464189ca37"
      },
      "source": [
        "fig = px.line(df, x='Quarter', y='Revenue', title='Amazon Profits')\n",
        "\n",
        "fig.update_xaxes(\n",
        "    rangeslider_visible=True,\n",
        "    rangeselector=dict(\n",
        "        buttons=list([\n",
        "            dict(count=1, label=\"1y\", step=\"year\", stepmode=\"backward\"),\n",
        "            dict(count=2, label=\"3y\", step=\"year\", stepmode=\"backward\"),\n",
        "            dict(count=3, label=\"5y\", step=\"year\", stepmode=\"backward\"),\n",
        "            dict(step=\"all\")\n",
        "        ])\n",
        "    )\n",
        ")\n",
        "fig.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>\n",
              "            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>\n",
              "                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script>    \n",
              "            <div id=\"9b61914e-0277-4b25-9ca5-1192d8023a3a\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
              "            <script type=\"text/javascript\">\n",
              "                \n",
              "                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
              "                    \n",
              "                if (document.getElementById(\"9b61914e-0277-4b25-9ca5-1192d8023a3a\")) {\n",
              "                    Plotly.newPlot(\n",
              "                        '9b61914e-0277-4b25-9ca5-1192d8023a3a',\n",
              "                        [{\"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"Quarter=%{x}<br>Revenue=%{y}\", \"legendgroup\": \"\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"mode\": \"lines\", \"name\": \"\", \"showlegend\": false, \"type\": \"scatter\", \"x\": [\"2020-03-31T00:00:00\", \"2019-12-31T00:00:00\", \"2019-09-30T00:00:00\", \"2019-06-30T00:00:00\", \"2019-03-31T00:00:00\", \"2018-12-31T00:00:00\", \"2018-09-30T00:00:00\", \"2018-06-30T00:00:00\", \"2018-03-31T00:00:00\", \"2017-12-31T00:00:00\", \"2017-09-30T00:00:00\", \"2017-06-30T00:00:00\", \"2017-03-31T00:00:00\", \"2016-12-31T00:00:00\", \"2016-09-30T00:00:00\", \"2016-06-30T00:00:00\", \"2016-03-31T00:00:00\", \"2015-12-31T00:00:00\", \"2015-09-30T00:00:00\", \"2015-06-30T00:00:00\", \"2015-03-31T00:00:00\", \"2014-12-31T00:00:00\", \"2014-09-30T00:00:00\", \"2014-06-30T00:00:00\", \"2014-03-31T00:00:00\", \"2013-12-31T00:00:00\", \"2013-09-30T00:00:00\", \"2013-06-30T00:00:00\", \"2013-03-31T00:00:00\", \"2012-12-31T00:00:00\", \"2012-09-30T00:00:00\", \"2012-06-30T00:00:00\", \"2012-03-31T00:00:00\", \"2011-12-31T00:00:00\", \"2011-09-30T00:00:00\", \"2011-06-30T00:00:00\", \"2011-03-31T00:00:00\", \"2010-12-31T00:00:00\", \"2010-09-30T00:00:00\", \"2010-06-30T00:00:00\", \"2010-03-31T00:00:00\", \"2009-12-31T00:00:00\", \"2009-09-30T00:00:00\", \"2009-06-30T00:00:00\", \"2009-03-31T00:00:00\", \"2008-12-31T00:00:00\", \"2008-09-30T00:00:00\", \"2008-06-30T00:00:00\", \"2008-03-31T00:00:00\", \"2007-12-31T00:00:00\", \"2007-09-30T00:00:00\", \"2007-06-30T00:00:00\", \"2007-03-31T00:00:00\", \"2006-12-31T00:00:00\", \"2006-09-30T00:00:00\", \"2006-06-30T00:00:00\", \"2006-03-31T00:00:00\", \"2005-12-31T00:00:00\", \"2005-09-30T00:00:00\", \"2005-06-30T00:00:00\", \"2005-03-31T00:00:00\"], \"xaxis\": \"x\", \"y\": [75452, 87437, 69981, 63404, 59700, 72383, 56576, 52886, 51042, 60453, 43744, 37955, 35714, 43741, 32714, 30404, 29128, 35746, 25358, 23185, 22717, 29328, 20579, 19340, 19741, 25586, 17092, 15704, 16070, 21268, 13806, 12834, 13185, 17431, 10876, 9913, 9857, 12947, 7560, 6566, 7131, 9520, 5449, 4651, 4889, 6704, 4264, 4063, 4135, 5672, 3262, 2886, 3015, 3986, 2307, 2139, 2279, 2977, 1858, 1753, 1902], \"yaxis\": \"y\"}],\n",
              "                        {\"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Amazon Profits\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"rangeselector\": {\"buttons\": [{\"count\": 1, \"label\": \"1y\", \"step\": \"year\", \"stepmode\": \"backward\"}, {\"count\": 2, \"label\": \"3y\", \"step\": \"year\", \"stepmode\": \"backward\"}, {\"count\": 3, \"label\": \"5y\", \"step\": \"year\", \"stepmode\": \"backward\"}, {\"step\": \"all\"}]}, \"rangeslider\": {\"visible\": true}, \"title\": {\"text\": \"Quarter\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Revenue\"}}},\n",
              "                        {\"responsive\": true}\n",
              "                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('9b61914e-0277-4b25-9ca5-1192d8023a3a');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })\n",
              "                };\n",
              "                \n",
              "            </script>\n",
              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0jt3yFXudhrE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from fbprophet import Prophet"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LT5FPlA3dhot",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "amazon_df=df[['Quarter','Revenue']].rename({'Quarter':'ds','Revenue':'y'}, axis='columns')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zpqAZy3Bdhmv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 407
        },
        "outputId": "3f17f910-1521-4d57-c231-6417fc48b3bb"
      },
      "source": [
        "amazon_df"
      ],
      "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>ds</th>\n",
              "      <th>y</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>75452</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2019-12-31</td>\n",
              "      <td>87437</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2019-09-30</td>\n",
              "      <td>69981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2019-06-30</td>\n",
              "      <td>63404</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2019-03-31</td>\n",
              "      <td>59700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2006-03-31</td>\n",
              "      <td>2279</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2005-12-31</td>\n",
              "      <td>2977</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2005-09-30</td>\n",
              "      <td>1858</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2005-06-30</td>\n",
              "      <td>1753</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2005-03-31</td>\n",
              "      <td>1902</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>61 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           ds      y\n",
              "0  2020-03-31  75452\n",
              "1  2019-12-31  87437\n",
              "2  2019-09-30  69981\n",
              "3  2019-06-30  63404\n",
              "4  2019-03-31  59700\n",
              "..        ...    ...\n",
              "56 2006-03-31   2279\n",
              "57 2005-12-31   2977\n",
              "58 2005-09-30   1858\n",
              "59 2005-06-30   1753\n",
              "60 2005-03-31   1902\n",
              "\n",
              "[61 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qkj44Up8dhkA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "train=amazon_df[(amazon_df['ds'] >= '2005-03-31') & (amazon_df['ds'] <= '2019-03-31')]\n",
        "test=amazon_df[(amazon_df['ds'] > '2019-03-31')]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4mCsdGq2dhf-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "c0821181-a385-4490-b357-ee5a46f43c7b"
      },
      "source": [
        "train.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(57, 2)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ei0NwfB9dhd6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "014c3fd0-3430-4d64-ae15-b4404036950a"
      },
      "source": [
        "test.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4, 2)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ckWH1s5MdhcD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "m = Prophet(interval_width=0.95)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-NbyPxRldhXl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        },
        "outputId": "be250f8c-1142-44a7-9b83-2b4e172e633f"
      },
      "source": [
        "m.fit(train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:numexpr.utils:NumExpr defaulting to 2 threads.\n",
            "INFO:fbprophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n",
            "INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<fbprophet.forecaster.Prophet at 0x7f2c2dc7bb38>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iw4iZd6Txyfx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 198
        },
        "outputId": "aa8204d3-c089-4d22-f17f-94ea945ebd82"
      },
      "source": [
        "future = m.make_future_dataframe(periods=4, freq='Q')\n",
        "future.tail()"
      ],
      "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>ds</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2019-03-31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2019-06-30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2019-09-30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2019-12-31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2020-03-31</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ds\n",
              "56 2019-03-31\n",
              "57 2019-06-30\n",
              "58 2019-09-30\n",
              "59 2019-12-31\n",
              "60 2020-03-31"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wpNP1pEAxybY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 198
        },
        "outputId": "b1a3c38d-ce00-4ad5-f5ff-99d1ab95796b"
      },
      "source": [
        "forecast = m.predict(future)\n",
        "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"
      ],
      "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>ds</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2019-03-31</td>\n",
              "      <td>61089.496702</td>\n",
              "      <td>57099.424196</td>\n",
              "      <td>65352.808341</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2019-06-30</td>\n",
              "      <td>63195.117245</td>\n",
              "      <td>59115.126618</td>\n",
              "      <td>67408.018580</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2019-09-30</td>\n",
              "      <td>66153.769212</td>\n",
              "      <td>61936.533615</td>\n",
              "      <td>70209.078722</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2019-12-31</td>\n",
              "      <td>74249.538229</td>\n",
              "      <td>69886.534547</td>\n",
              "      <td>78388.413312</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>70663.367667</td>\n",
              "      <td>66573.489585</td>\n",
              "      <td>75201.230316</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ds          yhat    yhat_lower    yhat_upper\n",
              "56 2019-03-31  61089.496702  57099.424196  65352.808341\n",
              "57 2019-06-30  63195.117245  59115.126618  67408.018580\n",
              "58 2019-09-30  66153.769212  61936.533615  70209.078722\n",
              "59 2019-12-31  74249.538229  69886.534547  78388.413312\n",
              "60 2020-03-31  70663.367667  66573.489585  75201.230316"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zn1lJ_xZq4N_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 515
        },
        "outputId": "7498977c-6af7-421f-d34d-0f8285485662"
      },
      "source": [
        "pd.concat([amazon_df.set_index('ds')['y'],forecast.set_index('ds')['yhat']],axis=1).plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2c21043518>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SUhl1klTxyYo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "outputId": "d367f2e6-3c4e-4d6d-b868-ae46dd97d1de"
      },
      "source": [
        "fig1 = m.plot(forecast)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MRY3ZMDKxyVX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        },
        "outputId": "ec9bddba-df45-477f-b3b5-ddcaa219c626"
      },
      "source": [
        "fig2 = m.plot_components(forecast)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 648x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EvTLuLm_v1vD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "holiday_sale = pd.DataFrame({\n",
        "  'holiday': 'dec_jan_sale',\n",
        "  'ds': pd.to_datetime(['\t2019-12-31', '2018-12-31', '2017-12-31', '2016-12-31',\n",
        "                        '2015-12-31', '2014-12-31','2013-12-31','2012-12-31','2011-12-31','2010-12-31','2009-12-31','2008-12-31','2007-12-31',\n",
        "                        '2006-12-31','2005-12-31']),\n",
        "  'lower_window': 0,\n",
        "  'upper_window': 1,\n",
        "})"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w5fgyKtyxk_E",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "m2 = Prophet(interval_width=0.95, seasonality_mode='multiplicative', holidays=holiday_sale)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HePvvhy5xk7o",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "outputId": "d1c586bb-6ced-4072-8998-5a5a2fbf4275"
      },
      "source": [
        "m2.fit(train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:fbprophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n",
            "INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<fbprophet.forecaster.Prophet at 0x7f2c20e21898>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aydKo98Vxkxp",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 198
        },
        "outputId": "75c0ce17-6512-4259-a2a4-71a8e72b3fa3"
      },
      "source": [
        "forecast = m2.predict(future)\n",
        "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"
      ],
      "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>ds</th>\n",
              "      <th>yhat</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2019-03-31</td>\n",
              "      <td>60105.339695</td>\n",
              "      <td>58149.092748</td>\n",
              "      <td>61770.652087</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2019-06-30</td>\n",
              "      <td>62632.831894</td>\n",
              "      <td>60751.559039</td>\n",
              "      <td>64437.010170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2019-09-30</td>\n",
              "      <td>67797.199969</td>\n",
              "      <td>65949.925908</td>\n",
              "      <td>69627.479865</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2019-12-31</td>\n",
              "      <td>89334.669448</td>\n",
              "      <td>87441.334935</td>\n",
              "      <td>91328.075629</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>66853.826595</td>\n",
              "      <td>64897.934991</td>\n",
              "      <td>69120.479725</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ds          yhat    yhat_lower    yhat_upper\n",
              "56 2019-03-31  60105.339695  58149.092748  61770.652087\n",
              "57 2019-06-30  62632.831894  60751.559039  64437.010170\n",
              "58 2019-09-30  67797.199969  65949.925908  69627.479865\n",
              "59 2019-12-31  89334.669448  87441.334935  91328.075629\n",
              "60 2020-03-31  66853.826595  64897.934991  69120.479725"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rL1nnoFB_XhZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 515
        },
        "outputId": "6f29ec62-15b1-42ac-8d04-fbaae9953103"
      },
      "source": [
        "pd.concat([amazon_df.set_index('ds')['y'],forecast.set_index('ds')['yhat']],axis=1).plot()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2c20e35f98>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mTdTFNxW_XdU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "outputId": "57ad3ee9-0b97-46f8-a8b4-4ca681532171"
      },
      "source": [
        "fig1 = m2.plot(forecast)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5Pldb3yp_XLO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 657
        },
        "outputId": "7d932349-ff86-4086-d6e8-8d11c163058d"
      },
      "source": [
        "fig2 = m2.plot_components(forecast)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAn4AAAKACAYAAAACSHUJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeXxU9b0//tfsyWSyQibLJCwhAbIQwo6tRRDjwq3hKhawKihYbtV7tdh6oe4+agVa20pvqde0/Gza2ysu16+4IEpRXCiLLAEFwbAEshGyzWSZZNbz+2OWzBCQaGbmczJ5PR8PH5hJcuZzPnnPOe/z+bw/5ygkSZJARERERFFPKboBRERERBQZTPyIiIiIhggmfkRERERDBBM/IiIioiGCiR8RERHREKEW3QC5GD58OEaNGjXg7TgcDmg0moE3KEqwP/pinwRjf/TFPgnG/uiLfRKM/RGsuroazc3NF/0eEz+vUaNGYd++fQPeTn19PTIzM0PQoujA/uiLfRKM/dEX+yQY+6Mv9kkw9kewqVOnXvJ7nOolIiIiGiKY+BERERENEUz8iIiIiIYIJn5EREREQwQTPyIiIqIhgokfERER0RDBxI+IiIgoAlq67KhutQptAxM/IiIiojByuyWcbO7E20caUd0iNvHjDZyJiIiIwsTmdOFwfTtePVSPF3adxQ35RszOGy6sPUz8iIiIiMLA3O3AtuNNeO6TU/hndRuK0uNxc1G60DYx8SMiIiIKIUmScKbVij/srEb57rOwO934yfdG46aidMRoVELbxsSPiIiIKEQcLjc+PNGEx7Z+hb1nzSjOSMDjpXkYlaJHq9WOOJ3Y1IuJHxEREVEIWLrtWPfBSfzXp6fhcElYOSsHi0syYXe50djRA2N8DMYbDULbyMSPiIiIaAAkScL+GjPuff1zfFZjQUlmAh4vHYv0eB1arHbE69SYMTIFw+K0opvKxI+IiIjo23I4XVj34Ums/eAEnG4JP70qB7cUZ8DS44TV4UJxRgIyEmKgVCpENxUAEz8iIiKib+Wr851Yuukgdp8xY1JmAh4rzUN8jBrmHgfyhsdhRLIeGpW8bpnMxI+IiIjoG5AkCes/PoVHtx6Hyy3hZ7NzMG+8ET1ON9LjYzBmeBxiBa/evRQmfkRERET9VN1qxR3/exCfnm5FSWYCfj43FwadGnqtCpOzkpAYqxHdxK/FxI+IiIjoMiRJwn//sxoPvf2lp5ZvVg6uHjsMsWo1CtIMMMbroFDIo47v6zDxIyIiIvoaZ9usuPOlSnx4sgUTM+Lx09k5MBpiMM5oQFZiDNQyq+P7Okz8iIiIiC5CkiS8sOsMfvbWUbjcEu79zkjMyzdiZLIeucPjhD+F49tg4kdERER0gTOtVix7uRIfnGhBUXo8fvK90ShMj0d+Wrzs6/i+DhM/IiIiIq8LR/l+NGMEfjAxAxMyEpA2SOr4vg4TPyIiIiJ4Vuwue7kSH3pH+R743mjMGjMMo1Pkdz++b4uJHxEREQ1pbreE8t1n8NBbR+GSJKyYOQJ3T89GfnoCDLroSpVkmb66XC5MmjQJ3//+9wEAp0+fxowZM5Cbm4tFixbBbrcDAGw2GxYtWoTc3FzMmDED1dXV/m2sWbMGubm5GDduHN577z0Ru0FEREQyd7rFitIXduGe//scY4bHofyWifjF9eMwdURy1CV9gEwTv/Xr1yM/P9//9apVq7By5UqcOHECycnJ2LhxIwBg48aNSE5OxokTJ7By5UqsWrUKAHD06FFs2rQJR44cwdatW3HvvffC5XIJ2RciIiKSH7dbwh93VmPCszuw+4wZ/3HlaLx8+2QsnpQJY3zMoK/luxTZJX61tbV45513cPfddwPwFFl+8MEHuOWWWwAAS5cuxRtvvAEA2Lx5M5YuXQoAuOWWW7B9+3ZIkoTNmzdj8eLF0Ol0GD16NHJzc7F3714xO0RERESycqqlC3P/exfue/1zjDcaUHFrCdbMG49xafGD6p5834bsxjB/8pOf4Fe/+hU6OjoAAC0tLUhKSoJa7WlqVlYW6urqAAB1dXXIzs4GAKjVaiQmJqKlpQV1dXWYOXOmf5uBv0NERERDk9st4Y//rMaqt7+EQgH87Koc/PuVozAiWR+1I3wXklXi9/bbb8NoNGLKlCnYsWNH2N+vvLwc5eXlAIBz586hvr5+wNtsamoa8DaiCfujL/ZJMPZHX+yTYOyPvtgnwfrTH9VmG372XjV21XZicroeK2cY8b3RidD0WNDQYIlAK+VBVonfzp078eabb2LLli3o6elBe3s7HnjgAZjNZjidTqjVatTW1sJkMgEATCYTampqkJWVBafTCYvFgmHDhvlf9wn8nUArVqzAihUrAABTp05FZmZmSPYjVNuJFuyPvtgnwdgffbFPgrE/+mKfBLtUf7jdEjbsrMbqdzyjfD+/Ohf3fnckspL0EW6hPMhqInvNmjWora1FdXU1Nm3ahKuvvhp///vfMWfOHLz22msAgIqKCsyfPx8AUFZWhoqKCgDAa6+9hquvvhoKhQJlZWXYtGkTbDYbTp8+jaqqKkyfPl3YfhEREVHknWjuwpzn/4n73/gCJZkJ2HT7ZDx1/bghm/QBMhvxu5R169Zh8eLFePTRRzFp0iQsX74cALB8+XLccccdyM3NRUpKCjZt2gQAKCwsxMKFC1FQUAC1Wo0NGzZApRp8z9MjIiKib87tlvBfn57Gz7d8CZVCgcdL87Bi5kiYkmJFN0042SZ+s2fPxuzZswEAOTk5F12VGxMTg1dfffWiv//II4/gkUceCWcTiYiISGaqmjqx7OVD+PR0K747KhmPXJOHa8amRs2TNwZKtokfERERUX+5vKN8D2/5EmqlEk9eOxY/mjkCmYkc5QvExI+IiIgGtZOtPVj4fzuxs7oN3xudgofn5uKasalRf0++b4OJHxEREQ1KLreE9Z+cwsPvfAmtWoWnrhuLu2dwlO/rMPEjIiKiQef4+U7ctakSu8604QpTHJ6YV4S5ecM5yncZTPyIiIho0HC5Jfzuo1N4bOsxaFVK/OL6cSgbqUHxWKPopg0KTPyIiIhoUDjW2IG7Xj6E3WfaMCsnBQ/PzcPcvOE433hOdNMGDSZ+REREJGsut4TffnQSj209jhi1Ek9fPw7Lpmcjg7V83xgTPyIiIpKtLxs7cNemSuw5a8bsMcOw+upc1vINABM/IiIikh2ny43ffHQKT7znGeX75Q3jsGz6CKQnxIhu2qDGxI+IiIhk5ei5Dty5qRKf1ZgxJ3cYVs/JxdyxqVApFaKbNugx8SMiIiJZcLrceHbHSTzx3lfQa5V45obxuGt6Nkf5QoiJHxEREQn3RUM77nq5EvtqLJibNxyr5ozB1Xkc5Qs1Jn5EREQkjNPlxq8+PImn3veM8q2dNx53TR8BY7xOdNOiEhM/IiIiEuLzhnbctakS+2stKM0bjv+cMwZzOMoXVkz8iIiIKKIcLjd+9eEJPPX+VzBo1Vj7L+OxbPoIpBo4yhduTPyIiIgoYg7Xe2r5DtRaUDp2OP5zNkf5IomJHxEREYWdw+XG2g9O4BfbvkK8To1ffT8fd07L5ihfhDHxIyIiorA6VG/BnS9VorK+HdeNS8VDs8dgdu5wjvIJwMSPiIiIwsLudGPN9io8/Y8qJMao8WvvKN9wjvIJw8SPiIiIQq6yzoI7N1XiUH07rh+Xip/NHoM5ucOh5CifUEz8iIiIKGTsTjd++Y8qPLPdM8r37PfzsZSjfLLBxI+IiIhC4mCtZ5TvcEM7bhhvxM9m52D2GI7yyQkTPyIiIhoQu9ONp//xFZ7ZfgJJMWr85sYCLJ2WjWFxWtFNowsw8SMiIqJvbX+NGXe9XInPGzrwL/lGPHgVR/nkjIkfERERfWM2pwu/2FaFtR+cQHKsBr8rK8AdUznKJ3dK0Q0I1NPTg+nTp2PixIkoLCzEE088AQA4ffo0ZsyYgdzcXCxatAh2ux0AYLPZsGjRIuTm5mLGjBmorq72b2vNmjXIzc3FuHHj8N5774nYHSIioqi0r8aMqb/7BL/8RxVuGJeKV5dMxv3fy2HSNwjIKvHT6XT44IMPcOjQIVRWVmLr1q3YvXs3Vq1ahZUrV+LEiRNITk7Gxo0bAQAbN25EcnIyTpw4gZUrV2LVqlUAgKNHj2LTpk04cuQItm7dinvvvRcul0vkrhEREQ16NqcLD2/5EjN//ykaO2x4bn4hKn44CbNzUzm1O0jIKvFTKBQwGAwAAIfDAYfDAYVCgQ8++AC33HILAGDp0qV44403AACbN2/G0qVLAQC33HILtm/fDkmSsHnzZixevBg6nQ6jR49Gbm4u9u7dK2aniIiIosBnZ82Y/NuPsWb7Ccwbb8RrS6biP64cjRQ9R/kGE1klfgDgcrlQUlICo9GI0tJSjBkzBklJSVCrPeWIWVlZqKurAwDU1dUhOzsbAKBWq5GYmIiWlpag1y/8HSIiIuq/HocLP3/nS8z8/Sdo7rJj/fxC/OXWEszKHcZRvkFIdos7VCoVKisrYTabcdNNN+HYsWNhe6/y8nKUl5cDAM6dO4f6+voBb7OpqWnA24gm7I++2CfB2B99sU+CsT/6ilSfHGjowoNbq1HV2oPrxyTg3qlGTDbp0GNuRr05Ik3oF8ZI/8ku8fNJSkrCnDlzsGvXLpjNZjidTqjVatTW1sJkMgEATCYTampqkJWVBafTCYvFgmHDhvlf9wn8nUArVqzAihUrAABTp05FZmZmSNoequ1EC/ZHX+yTYOyPvtgnwdgffYWzT3ocLjzx3nE8u+MkUuO0+P2/FuL2KVlIlvG0LmOkf2Q11dvU1ASz2XMJ0d3djW3btiE/Px9z5szBa6+9BgCoqKjA/PnzAQBlZWWoqKgAALz22mu4+uqroVAoUFZWhk2bNsFms+H06dOoqqrC9OnTxewUERHRILL7TBsm/fZj/OrDkygrTMerS6fivu+OlnXSR/0nqxG/hoYGLF26FC6XC263GwsXLsT3v/99FBQUYPHixXj00UcxadIkLF++HACwfPly3HHHHcjNzUVKSgo2bdoEACgsLMTChQtRUFAAtVqNDRs2QKVSidw1IiIiWet2uPDE1uP4zUcnkWrQ4b/+tQi3TTEx4Ysyskr8iouLcfDgwT6v5+TkXHRVbkxMDF599dWLbuuRRx7BI488EvI2EhERRZtd1a24a1Mljjd14aaidPx0dg6+MyoFCgUXb0QbWSV+REREFDndDhcee/cYfvvxKaQZdNhwcxF+ODkLSbEa0U2jMGHiR0RENAT983Qr7nq5El81dWHBhHQ8ODsHV4zkKF+0Y+JHREQ0hFjtTjy29Th+9/EppBt0+OPNRbiVo3xDBhM/IiKiIeLTUy1Y9vIhVDV34QfFGVh5VQ5mjkzmKN8QwsSPiIgoylntTjzy7jGs/+Q0MuNj8N8LJmDRJBNH+YYgJn5ERERR7JNTLVj2ciVONFuxcGIGVs4agxkjkzjKN0SFNPG78cYbvzaQ3nzzzVC+HREREV1Cl82Jh989hv/69DQyEzyjfIsnmZDIUb4hLaSJ389+9jMAwOuvv45z587h9ttvBwC89NJLSEtLC+VbERER0SV8fNIzyneyxYpFJZlYOSsH00dwlI9CnPhdddVVAICf/vSn2Ldvn//1G2+8EVOnTg3lWxEREdEFumxO/HyLZ5QvKzEG5bcUY2FJJkf5yC8sNX5dXV04deoUcnJyAACnT59GV1dXON6KiIiIAOw40YzlrxzC6RYrFntH+aZxlI8uEJbE73e/+x1mz56NnJwcSJKEM2fO4IUXXgjHWxEREQ1pnTYnVr/zJTbsrEZ2UgzKf+AZ5UuI4Sgf9RWWxO/6669HVVUVjh07BgAYP348dDpdON6KiIhoyPrwRDOWbarEmbZu3DopEw9eNQZTshI5ykeXFLbbuezfvx/V1dVwOp04dOgQAGDJkiXhejsiIqIho8vuwr3/dxjP//MMRiTF4k8/KMYPOMpH/RCWxO+OO+7AyZMnUVJSApVKBQBQKBRM/IiIiAbog6pm3Pm/R1Hbbsdtk034yawcjvJRv4Ul8du3bx+OHj3KICQiIgqRjh4nHnr7KF7YdQZZ8Rr8eeFE/GBiJuJj+CwG6r+wREtRURHOnTuHjIyMcGyeiIhoSPnHV01Y/vIh1Ji7cftkE+4qMGBOSTYHWOgbC0vi19zcjIKCAkyfPj1oUQef3EFERNR/7T0OPPTWUZTvPouRybHYuHAibpmYiY7W80z66FsJS+L35JNPhmOzREREQ8a24024+5VDqLV0444pWVg5azQmZSUBADoEt40Gr7AkfldddRXOnDmDqqoqXHPNNbBarXC5XOF4KyIioqhi6XbgobeP4k+7z2KUd5RvQTFr+Sg0whJFf/rTn1BeXo7W1lacPHkSdXV1+PGPf4zt27eH4+2IiIiiwnvHzuPuVw6hvr0HS6dm4SezRqPElCS6WRRFwpL4bdiwAXv37sWMGTMAAHl5eTh//nw43oqIiGjQs3Q78NM3j2Lj3rMYnRKL/29RCRYUZ8Cg4ygfhVZYIkqn00Gr1fq/djqdLEIlIiK6iHe/bMSKVw+jvr0Hd3pH+SZylI/CJGw1fs888wy6u7uxbds2/PGPf8SNN94YjrciIiIalMzdDjy4+Qhe/KwGOcP0eHFRCW7mKB+FWViia926dfjzn/+MCRMm4IUXXsC8efNw9913h+OtiIiIBp0tXzbiR68cQmOHDXdNy8bKWTmYkJkgulk0BIQ88XO5XCgsLMSxY8fwox/9KNSbJyIiGrTarHas3HwEFftqMWaYHi8uLsHNEzIQx1E+ipCQR5pKpcK4ceNw9uxZjBgxItSbJyIiGpTePtqIf3vVM8q3fHo2HvgeR/ko8pTh2GhbWxsKCwsxd+5clJWV+f+7nJqaGsyZMwcFBQUoLCzE+vXrAQCtra0oLS1FXl4eSktL0dbWBgCQJAn3338/cnNzUVxcjAMHDvi3VVFRgby8POTl5aGioiIcu0lERHRZbVY7lvzvQdy4cS9iNSr8ZXEJ1v9rEZM+EiIsY8s9PT14++23/V9LkoRVq1ZdvjFqNX7zm99g8uTJ6OjowJQpU1BaWoq//OUvmDt3LlavXo21a9di7dq1WLduHd59911UVVWhqqoKe/bswT333IM9e/agtbUVTz31FPbt2weFQoEpU6agrKwMycnJ4dhdIiKii3rryDn822uHcb7TjrtnZOOBWTkoSmfCR+KEJfFzOp246qqrgl7r7u6+7O9lZGQgIyMDABAfH4/8/HzU1dVh8+bN2LFjBwBg6dKlmD17NtatW4fNmzdjyZIlUCgUmDlzJsxmMxoaGrBjxw6UlpYiJSUFAFBaWoqtW7fi1ltvDe2OEhERXUSr1Y4H3vgC/7O/DnnD4/DrxQX416J01vKRcCGNwOeffx5//OMfcerUKRQXF/tf7+jowHe/+91vtK3q6mocPHgQM2bMQGNjoz8hTE9PR2NjIwCgrq4O2dnZ/t/JyspCXV3dJV+/UHl5OcrLywEA586dQ319/Tdq48U0NTUNeBvRhP3RF/skGPujL/ZJsMHWH++dMGP1P86gxerEHRNS8KPJaRgzXAlLy3lYQvQeg61Pwo390X8hTfx++MMf4oYbbsDPf/5zrF271v96fHy8f/StPzo7O7FgwQI899xzSEgIHhJXKBQhuxn0ihUrsGLFCgDA1KlTkZmZGZLthmo70YL90Rf7JBj7oy/2SbDB0B8tXXbc//++wP8erMPY4XH43fwJ+NcJ6dBrwzPKNxj6JJLYH/0T0mhMTExEYmIiXnrppW+9DYfDgQULFuC2227DzTffDABIS0tDQ0MDMjIy0NDQAKPRCAAwmUyoqanx/25tbS1MJhNMJpN/atj3+uzZs791m4iIiL7O64cbcO//fY5mqx3/NnME/uN7o1HIWj6SobCs6v22JEnC8uXLkZ+fjwcffND/ellZmX9lbkVFBebPn+9//a9//SskScLu3buRmJiIjIwMXHfddXj//ffR1taGtrY2vP/++7juuuuE7BMREUWv8x02LPzrPiyo2IekWDX+dmsJfju/kEkfyZasqkx37tyJv/3tb5gwYQJKSkoAAM888wxWr16NhQsXYuPGjRg5ciReeeUVAMC8efOwZcsW5ObmQq/X48UXXwQApKSk4LHHHsO0adMAAI8//vg3mmomIiL6OpIkYdPBevzH//sc7TYn7v3OSPz7laORnxYvumlEX0tWid+VV14JSZIu+r3t27f3eU2hUGDDhg0X/flly5Zh2bJlIW0fERFRvaUH9/zfYbx5pBFF6fF4vjQP3y9MR6xGJbppRJclq8SPiIhIriRJQsVntVj55hfotrvxk++Nxn3fHY3c1DjRTSPqNyZ+REREl3G2zYoVrx7Ge8ebMMmUgMeuGYt5BUbo1Bzlo8GFiR8REdEluN0S/rTnDB5660s4XG48NHsM7v3uSIxK4SgfDU5M/IiIiC7iVEsX7n7lED480YJp2Yl49JqxuH68EVq1rG6IQfSNMPEjIiIK4HZL+K9PT+PhLcegUACPzM3Fv10xEtnJetFNIxowJn5ERERex893YvnLldhZ3YbvjErGw3PzcO24VGhUHOWj6MDEj4iIhjyny43ffXwKj289Do1KiSevHYsfzRyBzMRY0U0jCikmfkRENOS43RJOtnThQK0FB+os2HqsCYcb2jF7zDCsvjoXc/OGQ81RPopCTPyIiCiqOV1uHG/qwoFaMw7UWXCg1oKDdRZ02FwAALVSgdzhcfjlDeOwbPoIpCfECG4xUfgw8SMioqhhc7pw5FyHfyTvQK0Fh+rb0eN0AwB0aiXGpcbh+vFGjEs1YLzRgMlZichMiEFCjBoKhULwHhCFFxM/IiIalDptThyub8fBut4k70hjBxwuz6M/47QqjDcasKA4A+NSDchPM2CSKRFp8ToYdDz90dDEyCciItk732HDwTrPFG2lN9mrau6C7/HuSbFq5BvjcfvkLIxLjUN+WjwmZibAGK/jM3SJAjDxIyIi2ZAkCadbrd4kz5Pg7T/bhsYuh/9nMuJ1GGc0YM6YYRhnNKAwLR4F6QakGnR8hBrRZTDxIyIiIRwuN46d7/SP5B2sa0dlnQWWHicAQKUARqboMcEYg1uzszA+1YDizASMGRaHFL2Gq26JvgUmfkREFHZdNicON7T7R/EO1lnwxbkO2AIWXeQNj8M1ecMxzmjAuFQDJpkSkJUUC2tbE0wmk+A9IIoOTPyIiCikznfYUFlvQWVAkvdVQD1eYowa41INWDjRs+hinPHrF110m7nSlihUmPgREdG34rsJcmW9Z4rW9299u83/MxnxOoxNNeCqMcMwLtWAonRPPd7wOB1iuOiCKOKY+BER0WV1Ozz3xztY5xnJq6y34HB9Ozrtnpsgq5QK5KToMcmUiEUlBoxLjWM9HpEMMfEjIqIgbVa79+kW7f4p22NNnXC5e++PNzY1Dv9SkIZxqXEYm+qZqs1MjEEib4JMJGtM/IiIhrBWb5K3v9aC/bVm7K+x4FSr1f/9NIMWY1MNuGtaFsamGpBvNGBCRgJSDVrotTyFEA02/NQSEQ0RrVY79td4Ezxvsnc6IMkzJcRgfJoB8/KNGG80YGJmAvJSDUjRa6DhVC1RVGDiR0QUhfqb5P1LvhH5aQaUZCYiLzUOKXotVEpO1RJFKyZ+RESDXEuXPSjB219jRnVbt//7poQY5F+Q5OUOj8OwOCZ5REMNEz8iokHkskleYgzyjQZ8vyCNI3lE1AcTPyIimQpM8vbVeP49E5DkZXmTvBsL05BvNGBSVqL39ilM8ojo4mSV+C1btgxvv/02jEYjvvjiCwBAa2srFi1ahOrqaowaNQqvvPIKkpOTIUkSHnjgAWzZsgV6vR5/+ctfMHnyZABARUUFnn76aQDAo48+iqVLlwrbJyKi/vAleftqLNh54hyONB+9aJJXxiSPiAZAVonfnXfeiX//93/HkiVL/K+tXbsWc+fOxerVq7F27VqsXbsW69atw7vvvouqqipUVVVhz549uOeee7Bnzx60trbiqaeewr59+6BQKDBlyhSUlZUhOTlZ4J4REfVq7rT1TtXW9h3JyzRoUJiZiPmF6chP8zyzNodJHhGFgKwSv1mzZqG6ujrotc2bN2PHjh0AgKVLl2L27NlYt24dNm/ejCVLlkChUGDmzJkwm81oaGjAjh07UFpaipSUFABAaWkptm7diltvvTXCe0NE5Hms2ZHGDnx8sgUfn2rFnrNtQUledlIMxhsNQUmewdmB8aNHMMkjopCTVeJ3MY2NjcjIyAAApKeno7GxEQBQV1eH7Oxs/89lZWWhrq7ukq9fTHl5OcrLywEA586dQ319/YDb29TUNOBtRBP2R1/sk2DR1h8ut4SjTd3YVduBPbWd2FPbgbYez2PNUvVqFKTG4NpRwzF2WAyKjHpkJ3medqH0P+2iB01mMxrPacTthMxEW4yEAvskGPuj/2Sf+AVSKBQhfRTQihUrsGLFCgDA1KlTkZmZGZLthmo70YL90Rf7JNhg7g+Hy40DtRZ8dLIFH51qwaenWtFucwLwrLC9Mmc4JpsSMSU7EVOyEpEWH9OvkbzB3CfhwP7oi30SjP3RP7JP/NLS0tDQ0ICMjAw0NDTAaDQCAEwmE2pqavw/V1tbC5PJBJPJ5J8a9r0+e/bsCLeaiKKVzenCZ2fN+OhUCz462YJ/Vrehy+4Z0RuZHIu5ecMxJSsRU7OTUGJKRGqcFkpO2RKRTMg+8SsrK0NFRQVWr16NiooKzJ8/3//6H/7wByxevBh79uxBYmIiMjIycN111+Hhhx9GW1sbAOD999/HmjVrRO4CEQ1i3Q4Xdp9p84zonWzB7jNt6HG6AQBjhukxL9+IKaZETB+RjKKMeAzTM9EjIvmSVeJ36623YseOHWhubkZWVhaeeuoprF69GgsXLsTGjRsxcuRIvPLKKwCAefPmYcuWLcjNzYVer8eLL74IAEhJScFjjz2GadOmAQAef/xx/0IPIqLL6bI58c/qNv+I3t6zbbC7JCgAjE2Nw00T0jHFlIgZI5ORnxaPFL0mpCUoREThJO2I9PYAACAASURBVKvE76WXXrro69u3b+/zmkKhwIYNGy7688uWLcOyZctC2jYiik7tPQ7sPN2Kj0624qNTLdhXY4bTLUGlAMYb47GoxIQpWYmYOTIZY1PjkBTLRI+IBi9ZJX5EROHWZrXjk1Ot/hG9g3UWuCVArVSgIC0ed0zJwmRTImaOTEJeqgGJsVxdS0TRg4kfEUW15k4bPg5I9A43tEOSAK1KgaL0eCybno3JpkRcMSoFOcP0SIhhokdE0YuJHxFFlXPtPZ5Ez7sY40hjBwBAp1ZiYkYC/m3mSG+il4RRKXEw6HgYJKKhg0c8Ihq0JEnC2bZufHq6FR97R/SON3UBAPQaFSZmJuC+74zC5KxEzByVjJFJsYhjokdEQxiPgEQ0KEiShBpzN/bXWrCvxuz/t8XqAADEaVWYZErEdeOMmJzlGdHLTtIjVqMS3HIiIvlg4kdEsiNJEuosPb0JXq0Z+2ssaOqyAwBUCmDMsDh8d3QKCowGFGUkYObIZJgSYxDDRI+I6JKY+BGRUJ4krxv7aizYX9s7kne+szfJGz1Mj5kjk5GfZkCB0YDJWYnITtYjMUbNW6sQEX0DTPyIKKIa2nuCpmr3nGlFs9XzbFulAhidosf07CTkp8Uj32jAlOxEZCfF8v55REQhwMSPiMKmscMWlOTtqzGjocMGwJPkjUrWoyQtFiUjUpGfFo/JWYkYmcwkj4goXJj4EVFINHbY/FO1+2vM2FdrQZ2lBwCgADAqJRaTshLxQ6MB+WkGTMlKwojkWHS3NcFkMoltPBHREMHEj4j6TZIkmLsdOGvuxtm2bhyqb/eP5tUGJHkjk2NRnBGPhRMzUZBmwCRTIkYP0yMpRgOlMngkr97MkT0iokhh4kdEft0OF2rM3ahp60aNuQdnzd2o8SZ5NeZunDV3o8vuCvqdEcmxKEqPxy0TM1BgjMdkUwJGDYtDcmzfJI+IiMRi4kc0RDhdbtS396DG3BOUzPkSurNt3f574gUaptcgLV6H9AQdSkwJnv836JAWr0NhejxGp+iRotcyySMiGgSY+BFFAUmS0NxlD0jmevwJXY25G2fautHQ3gO3FPx7Bq3Kk8jF63DVmGH+/08z6JCdHIuclDgMi9MgTqtCrEbFBRdERIMcEz+iQcDS7fCPzl2Y1NW0daPW0oMepzvod7QqBdK8SVxJZgKuH5fq/zozMQZjhumRnhADg1aNOK2KI3ZEREMAEz8iQVxuCa1WO5q77Gjp8vzb3GVHQ4etdwrWO4LXYQuuq1MqgNQ4LdLiYzB6mB5XjEpGmsE7Whevw+gUPUYkx8KgU8OgU0OjUgraSyIikhMmfkQh4HJLaPMlcVaHP4m7MKlr7rKjsd2Ktp7DMHc7IF1ieyl6DdK8dXQTMhL8069p8TqMSI7F6JRYJMVqEadV8RFlRETUb0z8iC7gdkto63ZcNGlrsQZ/3dTpea3NeukkTqtSIDlWg8RYDZJiNBiRoMWUEQYkxWiQFKtBYowaSbEapOi1SIvXIjMhBil6LQw61tUREVFoMfGjqOZ2SzD3XDyJ87zmQHOXzZPEeV8zdzv6LILw0aoUSPImcImxaoxKjkVJZoI/gUuM1SA51pPQpRk8K2GTYzWI1aoQo1YiRq3CuXMNyMzMjGxHEBERgYkfDSJutwRLjyN4KrWz7yhci9UzEtfcZUer1X7JJE6jUgSNuo1IikVxRgKSYtXexM6T4CXr1TB6k7iUWK0/idOpVVBxQQQREQ0iTPwoIlxuCZ02JzpsTrT3ONFuc6K9x+H5f//X3tf8/+/5urXbgeZOO1q7HXBdIotTK70jcd6kzZQYg8I0gzep84zOJXtH49K8CyCG6bWI0XhH4jRM4oiIKPox8aNLcrsldNld3mTNgQ6by/tvb6LWEfBvR9BrnqTObLWjy1GJzgue9nApsRol4ry3F4nTqmDQqpERr0O+0RA0xeobqfMlccPjNIjVqJnEERERfQ0mfoOEJEnocbrR43Ch2+FGj9Pzb7fDdfHXAv7f8zO+/+/7/R6nC1Z739etdtclFywEUikVMGhV0GtUiNOpoNeoYdCqMCIpFjkJKiQnxHsSOZ3Kf884z39qz8IGvQYp3rq4WI0KWrUSWpUSGpUCGqWS95cjIiIKESZ+EfSXvTU43tR5QdIWkJw5exOuwJ+xOd19bs77TenUSuhUSs+/aiW0aqW3Ts3zelKsGmnxWsSoVZ7vq5SI06qg9yV0AclafIxvxE2NZL0GBq06KFnTqpRQe+8bV19fz4UMREREMsHEL4L+fqAWO0629CZfAYlYYFKWEOOZsuz9viro66Ckzft6jFqJWG+Spvcmab0jcCpoVCqoFIBapYRKoYBKCaiVSqiUCk6LEhERDRFRnfht3boVDzzwAFwuF+6++26sXr1aaHveWzETlh4HHC4JapUCKoUCam/i5fuX92wjIiKicInaxM/lcuG+++7Dtm3bkJWVhWnTpqGsrAwFBQXC2qRUKpCs1wp7fyIiIhraovYBnnv37kVubi5ycnKg1WqxePFibN68WXSziIiIiISJ2hG/uro6ZGdn+7/OysrCnj17gn6mvLwc5eXlAIBz586hvr5+wO/b1NQ04G1EE/ZHX+yTYOyPvtgnwdgffbFPgrE/+i9qE7/+WLFiBVasWAEAmDp1ashWn3IVazD2R1/sk2Dsj77YJ8HYH32xT4KxP/onaqd6TSYTampq/F/X1tbCZDIJbBERERGRWFGb+E2bNg1VVVU4ffo07HY7Nm3ahLKyMtHNIiIiIhImaqd61Wo1/vCHP+C6666Dy+XCsmXLUFhYeMmfr66uxtSpUwf8vk1NTUhNTR3wdqIF+6Mv9kkw9kdf7JNg7I++2CfB2B/BqqurL/k9hSRJ/XkqF/XT1KlTsW/fPtHNkA32R1/sk2Dsj77YJ8HYH32xT4KxP/ovaqd6iYiIiCgYEz8iIiKiIUL15JNPPim6EdFmypQpopsgK+yPvtgnwdgffbFPgrE/+mKfBGN/9A9r/IiIiIiGCE71EhEREQ0RTPyIiIiIhggmfpdRU1ODOXPmoKCgAIWFhVi/fj0AoLW1FaWlpcjLy0NpaSna2toAAJIk4f7770dubi6Ki4tx4MAB/7ZUKhVKSkpQUlIyaG8mHar++PDDD/19UVJSgpiYGLzxxhvC9msgQhkjq1atQlFREYqKivDyyy8L2Z+B+qb9cezYMVxxxRXQ6XR49tlng7a1bNkyGI1GFBUVRXw/QilUfdLT04Pp06dj4sSJKCwsxBNPPCFkfwYqlDEyatQoTJgwASUlJSG5F6sooeqT48ePBx1bExIS8NxzzwnZp4EIZYysX78eRUVFKCwsHJR9EXISfa36+npp//79kiRJUnt7u5SXlycdOXJEeuihh6Q1a9ZIkiRJa9askf7zP/9TkiRJeuedd6Trr79ecrvd0q5du6Tp06f7txUXFxf5HQixUPaHT0tLi5ScnCx1dXVFbkdCKFR98vbbb0vXXHON5HA4pM7OTmnq1KmSxWIRs1MD8E37o7GxUdq7d6/08MMPS7/+9a+DtvXRRx9J+/fvlwoLCyO7EyEWqj5xu91SR0eHJEmSZLfbpenTp0u7du2K8N4MXChjZOTIkVJTU1NkdyAMQtknPk6nU0pLS5Oqq6sjsxMhFKr++Pzzz6XCwkKpq6tLcjgc0ty5c6WqqqrI75CMcMTvMjIyMjB58mQAQHx8PPLz81FXV4fNmzdj6dKlAIClS5f6R6s2b96MJUuWQKFQYObMmTCbzWhoaBDW/lALR3+89tpruOGGG6DX6yO7MyESqj45evQoZs2aBbVajbi4OBQXF2Pr1q3C9uvb+qb9YTQaMW3aNGg0mj7bmjVrFlJSUiLX+DAJVZ8oFAoYDAYAgMPhgMPhgEKhiOCehEYoYyRahKNPtm/fjjFjxmDkyJHh34EQC1V/fPnll5gxYwb0ej3UajWuuuoqvP7665HdGZlh4vcNVFdX4+DBg5gxYwYaGxuRkZEBAEhPT0djYyMAoK6uDtnZ2f7fycrKQl1dHQDPNM3UqVMxc+bMQTutGWig/eGzadMm3HrrrZFreBgNpE8mTpyIrVu3wmq1orm5GR9++CFqamqE7Eeo9Kc/hpqB9onL5UJJSQmMRiNKS0sxY8aMcDc5rAbaHwqFAtdeey2mTJmC8vLycDc3IkL1uYmWY+tA+qOoqAiffPIJWlpaYLVasWXLlkF/XB2oqH1Wb6h1dnZiwYIFeO6555CQkBD0PYVC0a+r7jNnzsBkMuHUqVO4+uqrMWHCBIwZMyZcTQ6rUPQHADQ0NODzzz/HddddF45mRtRA++Taa6/FZ599hu985ztITU3FFVdcAZVKFc4mh1WoYiSahKJPVCoVKisrYTabcdNNN+GLL74YtDWQoeiPTz/9FCaTCefPn0dpaSnGjx+PWbNmhavJYReqz43dbsebb76JNWvWhKOZETPQ/sjPz8eqVatw7bXXIi4uDiUlJYP6uBoKHPHrB4fDgQULFuC2227DzTffDABIS0vzT1k2NDTAaDQCAEwmU9DVRG1tLUwmk/97AJCTk4PZs2fj4MGDkdyNkAlVfwDAK6+8gptuumnQT+GEqk8eeeQRVFZWYtu2bZAkCWPHjo3wnoTGN+mPoSLUfZKUlIQ5c+YMynIAIHT94fvsGI1G3HTTTdi7d2/4Gh1moYyRd999F5MnT0ZaWlrY2htuoeqP5cuXY//+/fj444+RnJw8aI+rocLE7zIkScLy5cuRn5+PBx980P96WVkZKioqAAAVFRWYP3++//W//vWvkCQJu3fvRmJiIjIyMtDW1gabzQYAaG5uxs6dO1FQUBD5HRqgUPWHz0svvTTopyJC1SculwstLS0AgMOHD+Pw4cO49tprI79DA/RN+2MoCFWfNDU1wWw2AwC6u7uxbds2jB8/PnwND5NQ9UdXVxc6Ojr8///+++8P2tHPUH9uBvuxNZT9cf78eQDA2bNn8frrr+OHP/xheBo9WIhZUzJ4fPLJJxIAacKECdLEiROliRMnSu+8847U3NwsXX311VJubq40d+5cqaWlRZIkz6q7e++9V8rJyZGKioqkzz77TJIkSdq5c6dUVFQkFRcXS0VFRdKf//xnkbv1rYWqPyRJkk6fPi1lZmZKLpdL1O6ERKj6pLu7W8rPz5fy8/OlGTNmSAcPHhS5W9/aN+2PhoYGyWQySfHx8VJiYqJkMpn8q5kXL14spaenS2q1WjKZTEPmc3OpPjl06JBUUlIiTZgwQSosLJSeeuopwXv27YSqP06ePCkVFxdLxcXFUkFBgfT0008L3rNvL5Sfm87OTiklJUUym80id2lAQtkfV155pZSfny8VFxdL//jHP0TulizwkW1EREREQwSneomIiIiGCCZ+REREREMEEz8iIiKiIYKJHxEREdEQwcSPiIiIaIhg4kdEFCFPPvkknn32WdHNIKIhjIkfERER0RDBxI+IKIx++ctfYuzYsbjyyitx/PhxAMDvf/97FBQUoLi4GIsXLxbcQiIaStSiG0BEFK3279+PTZs2obKyEk6nE5MnT8aUKVOwdu1anD59Gjqdzv8INiKiSOCIHxFRmHzyySe46aaboNfrkZCQgLKyMgBAcXExbrvtNvzP//wP1GpefxNR5DDxIyKKsHfeeQf33XcfDhw4gGnTpsHpdIpuEhENEUz8iIjCZNasWXjjjTfQ3d2Njo4OvPXWW3C73aipqcGcOXOwbt06WCwWdHZ2im4qEQ0RnGMgIgqTyZMnY9GiRZg4cSKMRiOmTZsGhUKB22+/HRaLBZIk4f7770dSUpLophLREKGQJEkS3QgiIiIiCj9O9RIRERENEUz8iIiIiIYIJn5EREREQwQTPyIiIqIhgokfERER0RDBxI+IiIhoiGDiR0RERDREMPEjIiIiGiKY+BERERENEUz8iIiIiIYIJn5EREREQ4RadAPkYvjw4Rg1atSAt+NwOKDRaAbeoCjB/uiLfRKM/dEX+yQY+6Mv9kkw9kew6upqNDc3X/R7TPy8Ro0ahX379g14O/X19cjMzAxBi6ID+6Mv9kkw9kdf7JNg7I++2CfB2B/Bpk6desnvcaqXiIiIaIhg4kdEREQ0RDDxIyIiIhoimPgRERERDRFM/KKQudsBu9Mtuhmw2p2wOlyimwGny402q110MwAATZ02SJIkuhmyipEuO2MkEGMkmJxipJUxEoQxEkxOMfJ1hCd+NTU1mDNnDgoKClBYWIj169cDAFpbW1FaWoq8vDyUlpaira0NACBJEu6//37k5uaiuLgYBw4cAAAcP34cU6ZMQXFxMXbt2gUAcDqduOaaa2C1WsXsnCCTfvMRHt96XHQz8KNXDmPZGydFNwMv7DqDMc98AJvgJPRsmxUZT23D9lNmoe0APDHy2NZjopvhjZETopvhj5EewTFS09aNjKe24R8nxcfI5N9+LIsYWfGqPGKkfPdZ5DJGgkz+7cd49F15xMhdMoiRP+2RR4xcjvDET61W4ze/+Q2OHj2K3bt3Y8OGDTh69CjWrl2LuXPnoqqqCnPnzsXatWsBAO+++y6qqqpQVVWF8vJy3HPPPQCAF154AevXr8eWLVvw7LPPAgCef/553H777dDr9cL2L9JcbgnVbd34qqlTdFNwqrULNRYbHC6xV4SnWq1o63bgZIvYC4Aacw9cbglfNHYJbUdvjIhtB+CNkXa78FEDf4w0i46Rbk+MnBf7t3G7JVS3WuURIy1WecRIS5esYuRzwceR3hiRwblGNjHiOY6caBb/ufk6whO/jIwMTJ48GQAQHx+P/Px81NXVYfPmzVi6dCkAYOnSpXjjjTcAAJs3b8aSJUugUCgwc+ZMmM1mNDQ0QKPRwGq1wmq1QqPRwGw246233sKSJUuE7ZsInTan51+7U3BLAEuPE10Ot/APY3uPpy9au8UOwbf3OAAAVofY/vDFSJdNHjFidbiFXxz4YqRNdIx4/ybCY8TuhAS5xIhDHjHi7QvRU3myixEZTLH6YsQuOka8x3jRMXI5srqBc3V1NQ4ePIgZM2agsbERGRkZAID09HQ0NjYCAOrq6pCdne3/naysLNTV1eG+++7DkiVLYLPZ8MILL+AXv/gFHn74YSiVwnPbiPKdwOTwYWz3ndTdYmtR/Cd1q0MW7egSfMCWW4x0eQ/YcYLbAYg/YPvaYbUzRnzkFiPCLw565JH4yS1GZHFx4O0Tc7fYc83lyCbx6+zsxIIFC/Dcc88hISEh6HsKhQIKheJrf3/EiBHYsWMHAODEiROora1Ffn4+7rjjDtjtdvziF7/A2LFjg36nvLwc5eXlAIBz586hvr5+wPvR1NQ04G0MxInmbgCApas7JPszEJZuO6wON2pr62CN0wprR5PFMxVR03Ae9cniDgxnGz2PzzF3WIX+bfwxYpVHjHQ73Kitq0e3XGIkRdyFytlz3hjpFBwjLYyRCzFGgvljpKsbdXV1lz1Hh5PvXFMjOEbOe2PkrOAYuRxZJH4OhwMLFizAbbfdhptvvhkAkJaWhoaGBmRkZKChoQFGoxEAYDKZUFNT4//d2tpamEymoO098sgjePrpp/H73/8ed999N0aNGoWHH34Yf//734N+bsWKFVixYgUAz+NNQvW4F5GPjam2tQIAbJISxrR0qFViRjzdbgld9v2QAGgShyHTGC+kHQDQI53ytEkXL/RvozjuOVA6VVpZxEiPW4nUtHRo5BAjCcOQmSaDGIkRHCNfeWLEoRQbI2fs8omRTsZIENnFiKSEMT1DeIwA4mPEJpNzzeUInweVJAnLly9Hfn4+HnzwQf/rZWVlqKioAABUVFRg/vz5/tf/+te/QpIk7N69G4mJif4pYQD46KOPkJmZiby8PFitViiVSiiVyiGzsrfdX7/lElrv4Kv/AIA2q9g6IYu37qJLcN1ju83bDtFTNLbeKRqRUyOBMdIqeGqkN0bETlvJcRpPZIx02V0yihF5TG3KMUZE1nEHxYjgUg25xMjlCB/x27lzJ/72t79hwoQJKCkpAQA888wzWL16NRYuXIiNGzdi5MiReOWVVwAA8+bNw5YtW5Cbmwu9Xo8XX3zRvy1JkvD000/j5ZdfBuAZ0bvtttvgdDrx/PPPR37nBAj6MLokiFrP7GsHIJ+amE4esIPaIacYMcul/lJ0jMjw4kBojNh640J8jMjk4sDmWyQmuh29i8RE1nEHxohs6rhlsLjy6whP/K688spL3ohy+/btfV5TKBTYsGHDRX9eoVBg27Zt/q/z8/P99/kbKtoDRrfsThcAjaB2BJzUBV+pB57EhLZDNolfb4zYHC4gVnyMtPXII0ZEr4aXT4z0nsAYIx69F5DyiBHhFwcBF0tyiRFzj+C/jUzONZcjfKqXQss31OySeoNQTDsCrtQFJn5ut4QOmVyFWQJu5+ISeIXsixG3jGLEIpcYsYk9YFv8iZ8LToFTrL6/jfgY6X1vkTEiSRI6bHKLEbcsYkQCYLGJ+9vIMkaY+FEkBV0hCxz2DmyHyCnWwPoP0R/GwCt1kfWXsowRgSdTecVI78WB0Okz2cRI73uLjhHfn0NOMSKX40hrl7iLg6AYEXhxb7W7/Bf0okeFL4eJX5QJrHcQWQwdOEog8go5sD/EH7B7R3NEFszLMkYEHiiDY0Q+03giC+aDTuoiY6RHJjEik3YAweUADpdMLg56xNVxB/9tRJ5r5NGO/mDiF2XkUlsnlwNlUDsEP4UgcKpXLid1kVMjge2wijxgy+TEAQRP43lqdMUIXnjDk3rgqJKcYsQmkxixyGTmQOggg0xitT+Y+EWZ4HoHedRvdQlcfWaRyZQz0NsWpxvoEHiAssjk4sASNEUjj/4QfcD29YlLAjqE9klA/aXAgnmLTBKuoOOITC4gXZLo40hAHbfAhTeB7RC50jkoVmXwqMOvw8QvyrT3OKDz3kizQ2Dw+a5+NEqF4Kswz4dRp1YKn6LpsDn9f5s2oaMovTEi8iQWFCMyGM3RqZXotDkveZeByLSlN0ZaBY+iMEb6tsNzHHEJjZGOoBgROxrbGyPi/zaeGBEfqzq1Ep2CY+RymPhFmfYeJ1INnkfWiP4QxGlViNOKTbh8H8b0eB06Bd6M1uWW0GV3+f82bYKnWH3tEDnS1t7jhF6jgkFGMdJld8EpaFHFhTFiFnj/y3abQx4xYpNJjHjrQH0xIqq2zuWW0CmX40hAjIiurYvVKBGvVcoiAfXEiFNo/eXlMPGLMpYeJ4wGHQDRNTGexM+gVQlvBxB4wBaT+PlGX31/G7FTrIyRC9sB9B6wRdVfdl4QI20iSzW6GSMXtgMIPKnLI0bMMokRkatYPTGillmMiF3AdzlM/KKMpceBtHjvVZjg+o84rQrxWqXg2hxPgpWZEIMumxN2QVdhvulE399G7IhfQIwIHkWJ06oQrxN8wPaeTDMTYtBpF/eoQ8sFMSJy4Y1FJjHiP46IjpEeecSIrx2+v43QBXw2Z0CMiL848MSI+HrUzIQY7xNv5Jv4CX9yB4VWe48TybFaWdQ7xGnViFNJwtsB9H4YRd1h3lccnua9QhZdf5kcq4VWJbZuytLthEGnhkEtNkZ8CZYpMQZWuws2QU9EaL8gRgJXCUa8LTYnkmI1wmPEdxyJ1wiOEd9xxBsjPYJixH9xIIPjiKXHgaRYDXQqpfBBBoNWjQSNJI8LyETPuUZUjPQHR/yiiK9GyKBTIT5GLfhD4IBBq0KCToXOgBtbRr4dnhqhFL0GEsStPvOdxI3xYqfPfDVCnitk8TES542RLpu4J1X4aoQYIx5ut4ROmwsGrVp8jPQ4YdDJIEZ6HIhRKzHcGyMW2cSImMQvKEZi1MIv7uN8MWIXGSNOf4wAYlc6Xw4Tvyjiq/+I8x6whd4io9uJOJ3aP0UjcmokTqtCkvfD2GYVc4Dqner1HrAFXan7Y8R/cSC2RiiwfkvUkyp8o0pJ3pFgUTcsbr+gfkvU38ZXryWLGPFO9QqPEVvwcUQ+MSLmGO+PERlcQPpjxDvVK+5c42lHou84InDF9eUw8YsivqvQOK0KCbI6YIsrhva1I9n7YWwTtFLSd6VuSogBIG6lpK8dBq0aCTqN8BWbcVo14rUqdApcVOG7OPDFiFnQbVR8U85ZiZ4YEXUy9d3/Uw4xYumRUYzo1EiO9dboCjqp+z6//hgRNMXqa0ecVoVE0bNLPU7PyKPv4kBQHbelT4xwxI8ioPekrkJijEZ4vUPg4g6xJ3V170ld0JW6JWDFl1op8KQecHGQGKuWQW1Ob+G+qCdV+GqEkvXeA7aoaTxbb+G+yBhptwWc1AXHiOekLpcYUSE51lMWbxZUf+n7/BoNWqgF1nFbenpnl8QPMvTOHHTaXcKeZuKL1RS92BjpDyZ+UcSf+OnU/qswEbV1gfUfBp0KDpck7A7zvhqhFL3YxM/3t0nRaxGnEbf6LHDEz3Nx4BQbIzo1DFolnG5J2JMqfDVCvhgRtZr2whgRdYsMX1mCPGLEKZsYMWh7R3NEjQr7YyRO6723oaj+8MaIzjPIIKqOuzdGVIjXquByizzXOIJiROSq/Mth4hdFAq/UE7wHbBFTrEE1QloVAHFTI5YL6i6ETbHaHFAASIwVe7+poBjx1uYIjRFtYIyIGo31xkiMN0YEXqQoACTFasTGSI88YqTL7oIEucRIcI2f6L9NsjdGRJeM9I74ianj7o0RNQw6sU8z8cVIst53ruGIH0WA7wojKVbj/zCKqHcIrBEy+A7YgqbPfDVCvSd1cSNteq0KMWoV4nUir9Q9+5+k98SI1SHmgB2YXBh0nhgRORrrGd3yTNGImz5zBMeIoATUN42XGHAcEREjgWUJvhgRV6Pr8NezAeJO6r6V8DFqTxmNVfAFpC9GrIIuDnxPVAm8OBBXzuPw19cDYh9jdzm8j18U8X0Yk2LVnit1m6CTesCoUrza8/4i8uHAdAAAIABJREFUp0YMAR9GcbV1nnZo1UpvEbLYGqGkGO+Vuk3QxUHAiEG81vP+IusvDTI4YPtiVaNSCI0R3zRecmxv/ZaIGGm/aIyIq2kz6NRI8F5ACkvKvSvhNSqFdzWtoP7oDogRnUbYE298gwyexM8TI6KeeONbAOSPEYE19pfDEb8oElgjlBCjhs3lhlXAgSGwRsg3/C7iSRWBNULxOrGJX3uPA3E6NTRKhb9Q3S2gJiawRsgXIyJGLwJrhPyjwgJjJE6nCogRUaM5nhOHVqUUGyO24BixuyQxMWLz1Sz3xoiIiwNJktDhfzqE+BgxaGUUI7GBMRL5Y6s/Rrz15ICY2jpJktBh8y1EEhsj/cHEL4oE1gj5Ri9EnEwDp/F8w+8iplgDa4Q0KiVi1OIe9N7eZ8TPBYdb3BRrcqwGCTpxty8JGs3xXhyIeApBYI2QWqVErEZswXxQjDiGeoz4pvHkEyMqpQJ6jcj6S890oidGlMKm4f0lI4HnGgG1df4YCagnFxEjVrsLbkkeMdIfTPyiSGCNkO+A3SrggB1YI+S7UhfxIQisEQKAhBi10Gm8OK0aGpXSe6NRMVOsgTVCvgO2iJvRBtYIiYyRwBohAP7FDCJ4pvHUUCsVnhixOWF3ipiG98SITnCMyOU4EnghC0DoU5F895xUKxUB90gVM3Og16gQG1AiIWKK1Z+Axmhg0HrSGTHnGvnESH8w8YsiQTVCMeKmRgJrhHwHbCHTAAGjSgCE3mHe7D2ZAoBBI+4O8xfWCAFiVkoG1gj5T+oCrtQDa4QAID5GI6xw35dwKRQKb4yIG/GL06qgFRwjvSOPgmPkwgtInVpYjJi7PSUjCoXCv6pX1MKbvseRyI/4XfziQFzpStAFpMDnKF8OE78oElgj5J+iETiakxKn9U/RCPkwBtQIAfDe21DgVK/Ol4Aq0e1wo1tQTYyvRsh3pS7iuaOBNULxIi8OAmqEAAh9CkG7LThGepyianRlEiPe9xQeIwH3RwVkECO+C0itCjaRMaJTec81vhsWi4uRYXrRMwfyiZH+YOIXRQJrhHoP2OKG35NjNYhVK6FUiJqi6a0RAiD0aSYd3ieZABC6mCGwRsgXI+0CYyQpVoMYtQIqhUJsjARdHIidxgMCYkTQSJuvLpYxEvxEJEDsccRXMgLAf1Etqo47zn9x4Blk6BB6rtEiRq3wPs1EBjESK/ZRh5fDxC+KBNYIJQi8J1lgjZBCoRA2xRo4DQDAf08yZ4SnRlxuCV12V+90ogxO6mqlwn+lLmLhTWCNkELhKU0QM0XTWyMEwH/jc9nEiJDaut5pPJExYpFLjHjrQP3HkVjfLW7kESMi6rh9tcIalULorbLabU7EapSI0Sj95xoR0/C+EfEE7yP9em+DJOZRpZfDxC+KBNYICf0wBtQIAd7aOkHJBQD/8zV9J/VI18RcOPIo8ma0gTVCIu83FZhcAOLqLy0Bo0oA/Pc2jHSM+FYi9o0RMYsq5BAjvSOPgmOku/f+qAD890iN9EndHyO64FFhEeU8Zm+tcOC5RsQIl2+wQ6v2pDKiYiRwlguA0Cfe9AcTvygSWCPkq/ETe8D2hFeCoOmzwBqhwHZEehVcb41Q8JW6iJvRBtYIib448NUIedoiZvrMHyP64AO2PeIx0ntfQ0BwjAQsRBI7muMtSxAdIwH1qIHtEBYjvqlegYlfe48j4Fwjbnap3eYtb/LGSKL3wi3i7QiYcgY8o8MiYqS/mPhFkcAaoTitCgqIWuHUWxwOiKuJab9gNCcxRo1OmxM2Z2TbEvgkEwD+2w6IKZjvrRESHSNxQTEiZuHNxQ/YTtgjHSM9l4gRQYuzDDKJEYNOPjGSpA8s3HfC5hATI/7FHb4bFouorQuoWdZrVQLruIOPIwmiYsR7jE/WB4wKC4iR/mLiFyUurP9QKhUw6ARd/diCp/ESYz11F5G+w3y7rbdGCPBcqbskoCPCfdJ7wPYVZYtZfXZhjIisv+wTI96LAxExEqtR9saITg2X1Hsgj1g7ZBIjnieZyCRGLpjqFRYjPQ7EqJXQa3rrt0TGiH9xh1bMHRN8MeKLVeExogs814iKEWefGHFLgMUm5jGUlyM88Vu2bBmMRiOKior8rz355JMwmUwoKSlBSUkJtmzZ4v/emjVrkJubi3HjxuG9994DADQ1NeHKK69EUVER3njjDf/Pzp8/H/X19ZHbGYEurBEC4C10jfyH0dzdWyMEwPssx8jfkyzwnnVA77RVa4TvN3XhNJ6o2w50XlAjBIi70agloEYI8N5cW0CM9N5YOzhGIr3w5sJ7xYm6J9mFdWSAuBgxB9QsAwJjxDu65asj6z2ORDZG+s4cCDqO2IPbAYir47ZcGCP+Uo0In2sC7pYABMRIlzzv5Sc88bvzzjuxdevWPq+vXLkSlZWVqKysxLx58wAAR48exaZNm3DkyBFs3boV9957L1wuF1566SX8+Mc/xt69e/Hcc88BAN566y1MmjQJmZmZEd0fUS5MLgCBw94BNUK97RBQW3dhjZBOzFMILlxA0HtPssj+bSwX1AgBvVMSkWYJqBECPDFitbsi/qQKS09wjZDvgN0S6ZO6b8pZHxwjkT6pXzjyCIi7YXFgWQLgW3gT+aeZWLqDp5x99dORXnjjv+m5L0a8x3prhGPEt9jlws9vl4BpTUuPMzhW/atpIz/i53kW+4UxEvkFfP2hvvyPhNesWbNQXV3dr5/dvHkzFi9eDJ1Oh9GjRyM3Nxd79+6FRqOB1WqFzWaDSqWC0+nEc889h7feeiu8jZeR/5+9Nw+Tq6r2/j9VXdXVc2cgnXR3QmJIkJAQckPCdJHRJsrDDQLiAEoUJOr1lee++HO4QUUEJSo8F1T0MU5vQAV5FIkYZgQFLhDmICgkkEDS3Um6k+7qobqrazi/P06dqh5qOMPe+1Qn+/uP0umqXrXre/Zee63vWmu8Rgj860k2WiMEuYdRfTXtuA07c6irFkOP15HVWika31LO5cGRMZeDjAPqV8RvdAEBQK/qqHC8AEdUO37xPByp9i+NN+Yia1VKKo/4JfJmDvzjiMnRmnAwo7/0V7MM/uq468YEGcK+ZQ7MHrrjOOKDRtcOfI/4FcKPf/xjli5dymWXXUZPTw8A7e3tzJkzJ/s7s2fPpr29nYsvvphNmzbR1tbGunXr+MlPfsInP/lJampq/DJfOfLd1K2H0TDU3X7Ga4TA3LCHEmmGE34c6vk2bL8cP3PDDgasOZt+FRCM4ki1fxwZezkI+zLNZLxGyK8pBLlCJPPvB7MjuVTryMa2HoLMPhL3gyPjL5BhX6aZjC9Wy+4jfnGkZtQ+4kM0dvx4MshcDnziSO24LFc8mVaedjaHJ4yK+JW54+d7xC8fPv/5z/ONb3yDQCDAN77xDb70pS/xq1/9quDvNzY2snnzZgB6enpYv349f/rTn7jiiivo6enhS1/6EieddNKE123YsIENGzYAsGfPHiF6wK6uLs/v4QZvd0QBSMei2c8RJkHfUJx3d3dkDzbZ6MtEsSoSQ3R0dNDV1YUxYjp829/ZDYepc8a7+4eYVReis7MTgHhfDIC93fvp6KhUZkd7dw8BINHXTQcDdHV1URsO0tPXr1SDuiPDEWNoFEeMpHKOWMU1wUQsx5G4yZG33m0nEFPHkf0DQzTV5Dgy3J/hSNd+OjoiyuzY3WVyJNm3nw4GR3FkQClH3m7Pz5F+HzhiUIgjHQRVcqR/iBmjOdLnD0faMxxJjeFIQDlHcvtIX44jafUcGRixODI0gSPb391NxVCdEjvAPGtm1ITYs2ccR7rVcsQuytLxmzlzZvb/X3HFFZx77rkAtLa2smvXruy/7d69m9bW1jGvve6667j66qu54447OOWUU/jwhz/MBRdckC0EGY21a9eydu1aAFasWCFMD+iHrjC817xpHd4yk5aWZgBmTtnH8x0xDmuaSW1EzVed6hkC4LBpU7LrMGc4CewmWD+VlpbpSuwAiKVeY0pdbdaOocpB4J8YkTql31E6fIDaygpmt7bSVG9uAlNq9pMMViq1I5ThyJzm0RzpYrhjkOlNM8dodmRiV4YjM6ZNncCRQK1ajgwmX2NqfY4jwxGTI1TVK/1ujDLhSHif+b+ts/zlyO7ezD4yNc8+4gNHjhzFkXgkhh8cSYcPUDOBIwdIqN5HMhyZPZojU7sYaveHIzNGcyRucqSibhotLYcpsQOss6ZmIkciajliF2WZ6rVuVgB/+tOfshW/q1ev5s477yQej7Njxw62bdvG8ccfn/3dbdu2sXv3bk4//XRisRjBoDnGZWhoSPlnUI3xGiHIVfWq1Nbl0wjVR/yplJygEfKpGa0l/LUqvkxb1GtixmuEgMwYLLUd5vNphOqtalrFYugJGiFrRJkP6cTaSGhMtMQXjmQbWo/qDuAHR4YnFhD4xpHxetQq/zhSN0q6AtYUEX9SvdZEJMhNzFB61uSRrmTPGh903OOLXcCf/pd24HvE7+Mf/ziPP/443d3dzJ49m2uvvZbHH3+cl19+mUAgwLx58/jZz34GwOLFi/nIRz7C0UcfTSgU4tZbb6WiIvdAXn311XznO9/Jvu+HPvQh1q9fz7e//W1fPptKjNcIQa5SMq5QW5dPI+SH3iG/Rsifh9Gqcq4ctWE3VoXYN6DeyYGcRghyrXZU6i/zaYSy2jqFkyryaYTq/bocWC1DKnKXA5MjcQzDyLarUGEHwNSa3AXSF47kuRz4wRHDMOgfTk5oXQJ+cSQ0liPVIfb0+cORaaM5UhUiligDjlT5xJGCl4PybODsu+N3xx13TPjZ5ZdfXvD3r776aq6++uq8/3bXXXdl/39TUxP/+7//693ASYLocIIAuZYhYG7YBqYIeVZjlSI7Cm/YUYUP48BIEmOcHZGQ6Xz5EfGrGzXCDsyNYceBGIlUeszPZdsRYGzEb7RQvVkRR/Ld1C07VE4zGcxohEbbEQlVEKkIKq+4jg5l2sqExnLk7QMxkmlDmW7Kekb95ojVuqQcOVIZClIVUs+RvnG94sCMCr/VHSORMrIVpfLtMDnSWDWRIz2xBC3K9pEMRyJjq3pB7cSbwZEUaWMsR8IVGY6UqeNXlqleDeewKlirQhNvHSr71mU3hTwHh8pIW772NpBJfytOjUStiq+Kialelemz6HCCmkIcUdiaYnxfQ9MO9bOlc30Nx3GkqsKHqLAZnQ4FJ6Z6R5IqoyimcxHxmSNWNKexXDgSybOPqO7DmeknOIYjVhskxftIbWVuIpJlB0DPsB/7yOjotPpobKGzxq8+unagHb+DBPl1ZOrbl+TTCPkR9s6nETJtUa+bio5LFZl2WJoYde0PCmmEQK3+Mp9GyN8Nuxw4MnYCgWmHqd9KKBw/le1H5jtHMunEsuFI/udXJQpxRLmOezg5QbpiOeV+cGRq9cSzRm2QofDlQEf8NKTC0giFg2M3BYAehamRvBohH27q+fQf4E/DYsspHw0/hnjn0wjl0ngKN8oCGiFQK5gvK47EC3EkpZYjw2XCkewF0meOFLgc+MaRPA6oeh231R81D0eUZpesC2S+7JIfZ81EjqjOLtmFdvwOEuTVCGW1deoexnwaoZwYWt1DkE8jBP6E38cLfy070ooHvRfSCIFajuTTCFmRWZW6qXwaIbAifj5U9ebhiKXRVQUrqjRelgCK95Gy4cjELgXgJ0fGXw7CyjmS93Lgg457/EQkyA0wUCoHGMrPEb+mmdiBdvwOEhTSCAEMqNwo82iEKoIBasJqJ1Xk0wiB+TAOjKRIKUqfJVNpBkdSeQ4O9YPe82qEfIii5NMIVQQD1CqeZpJPIwTWTV0dR1JpoyhHemJqD9Pa8XIAnyJtNeFy4Ij5fE6ZsI+YkyqSilKsWY5MuKSo13Fb863zcUTp5T4PR4JB9RNv+uLm2jdU5wsyqOOIE2jH7yBBIf0HqC+qGK//ALNNhh/anGkFHkZVmpj+AmkAPwa95+WIT7qpvByJqI3G5tMIQTlyRK1gvjYS0hwZZQdMvEBmi7MUXQ4KcsQHHXdejvik4x5/SQH/zpqp4y6QVlRY9Yx6O9CO30GCvBohP/QO4+ZaZm1R3Gg0p/8Y/zCqrYLLaoQK3NRVDnovpBECiPmyYY/jSEavpM6OiRohMB2ugZGksmrawilnf3RThSKPSlOs8QR1kfwc8SNzMG2C4xfyhyMFvhu1qd5EHjvM9VH6/Mat/qh5zhpfggwTOWJ2blBXnGUX2vE7SJBPI+RHo9F8GiFQL4bO1zIEcs1olW3YBQoI/BHMT9QI+cGRfBohUK+JKXxTz0T8kmpsydf70rIDVDt+xTiiUqNbZhypyX+oq+JIQa2hDzrufBdIPzhSdB9RGGTInjU1EwMvAyMp4oo44gTa8TsIYOk/xj+MuSaS/mqEIKetU2nHeP0HmA9jImXQryh6YW3IdQVSNKqqvgpxJFQRpDqsliO5y8F4joSUciSfRgjM7yaZNuhXZEvuUC/AEUV2pNIGA0U5oj6ak48jqrlaHQ5SHZ7ocKnkSO5yMLH1ECjmSDw1gat+6LijwwlqI3k4Um065YahJtLWN5ygKhSkJjyxKj+VVnfWOIF2/A4CWPqP8Q8jZG4dComXT/8BpvB1cCSpTOhayAHNCebVpFizs4vHp/EialvcZDmSZ4C62dRaLUfq8nHEhzR8Xo5E1BbeZPuATYjmZDii6LuxLiHjU86mLeoj9uP1qJCLoqjlyNj+qKYd5nejnCMF5ADlwBHV2rpopufkRI6YUeGkIv1ldtxiQY6oHc1pB9rxOwhQSCME6ptI5tMIQe7gUCV0tTRCE/Qf2UHvqjbsAilnxZWShTRCpi2q02cTNUKj7VB2qBfSCGVTrIouB3lmKI+2Q1WEq1DkEaC+Kqy8qjffJUU5R7JFJoX2EcUcKbCPlANHGhRPM8knS7DsGFSqvzS5Gg76e9Y4gXb8DgIU0giBmRqJ+dAAdjwaqsLEFE6qKKQRyk4hUOz4jdeRWZoYVWLoQhohUN/bMJ9GKGeHOo4U0ghlpxAo6kkWLcGRQUXPb6ERdpDZR3zQCo+HVQCkjCNFCghAXaudbGP8cY6fxRFVqd5CmmVQr+O2psyMR7aoQlHEL5rtjzpRlgDQq7C3oV1ox+8gQNFbmMJGo4U0QgD1kYrMLUzVBlVAI5TZOFUJ5nOO39gNuzIUJFKhTjdVaAIBQKPCqHC6gEYIcq06VE2qMCeq5NeRgTrBfC6aM3ZNshxRlMYrxhGVqd5y44g5Z3uijgzU7yPjo8I5Hbeq9SiWOVDNkWTRLJdyjhSI+KkszrILaY5fT08PW7dulfX2GqNQSP8B1rxPNU0ki2qEqsKkFE6qKKgRytyQrY1Uvh0JAkw81AHqq9SJoQsNmwe1jUb7S+jIVE4z6c3IEvLpyEAdR/riJkfGXw7A0k2pjSoVO9SV7CMjRexQzZEhs4Bg4j5iflf9yvazIhxR2NswaiPIoIojRkE71E68sc6aYNBfjjiBUMfv9NNPp6+vjwMHDrB8+XKuuOIKrrrqKpF/QiMPCuk/QG3Yu3jkUe2g98IaIbXtS6y05uhJJhbqI+qiscU5oq7RqB2OqBPMF5YlgEKODBfjiLooSqHWJeATR4o8vyo5UoyrKp/fmsoKqvJxRGGkrVBDa8gFGVRypNAlBRSm4YcTRblajvN6hTp+0WiUhoYG7r77bi699FKeffZZHnnkEZF/QiMPCmmEQG0z2mIaoWylpKKwd2GNkHWoq9uwayMTqwJBbfuSQhohUNtotFRUCdTqL4txVWUUpRhHVEeF80WnVXKkmGZZOUeK6FFB7eVg/Cx2Cyo5kmt6XlgOoEJ/WVyWoHbijRXxm2CHDwMU7EKo45dMJuns7OSuu+7i3HPPFfnWGkVQSEcGahuNFn0YFY4WKqYRUr9hW+LwwIR/s27IauzIrxGy7FDVaLRUdTGomWZSTCOUu6mr5Ug4WIAjiqPCU2vyXCAPQY4YhkF/qUNdFUfiZnQ6P0cUZg6sSSYFOKJKx23nAqlCW2eLIwoL5+xCqOP3zW9+k1WrVrFgwQJWrlzJ22+/zcKFC0X+CY08sDRChW7qqhqNlsvDWEwjVBUKEgoGFEZRLHF4vpu6uWGnFKThi2mEVDYaLaoRiqgbP1VMIxQJBQkHA0odrro8veIg1/hcBUf6hpNlwZFSRSagiCPxlMmRPGm8SMi8zCmLCg9l2lMVivgp0nFHh4rLAVTpuLON8YukWFWcNYMjJkfycTXHkfKL+E201gPOPPNMLrrooux/z58/nz/+8Y8i/4RGHhTTCI1uRjt/unw7oMCmkAm/q9A7FNMIBQIBs2Gxwv55dXlG2MHo9FmaiuDE706sHYU1QqMbjR5BrXQ7oLBGCNRE2opphAKBgHLdVF1lBaGCET9TN1UtmyPxBDWF9hGVHIkX1yyDIo7EC0ceQb3+srYyVJQjibRBnq9OrB2Zbgn5OaJOx21xpOg+oiLYkT1r/OeIEwiN+J144olcdNFF3HfffcrGpWgU1wipbEZbSiMEah7GYhohUPswFtJ/wNhDXTaKaYRUDnovqhFSmIYvFlWCzDQTRRzpzaR6x1eOgtppJtGhDEcKyBJAjbbOiuaUD0cK7CMKNbrRYhyJhBlMqNFx5xpa57NDHUdy8qbCGj8VafhoEVkCqK3KdwKhjt+bb77J2rVruf3221m4cCHr1q3jzTffFPknNPKguEZIXTPaUhohULVhF38YGxVr62rzRB4hs2ErKrwpqhGy0mcqOFJMIxRRyJEisgRQr60rzpGUUo6Mb1Zs2lFeHFERsS91OWhQWZVfoMgExmYOpNuRHXNY+AKpJOKXvUAWjvip+G5KcaQxonZGvV0IdfwCgQBtbW3ccccd/PznP2fjxo0cf/zxnHbaaTz99NMi/5TGKBTTCFkPgYpmtKWKTKA8HkbVh3q+ylHLjpGUoSYKWkQjpLLwxtII5Uvj1SvkSDGNEFj6S3VzlItxJKGII9kLZJFDXYVuKisHqCrGEXXRnEJpvMZqxXKAQpeDDEfUaHQT5llThCNWxkWuHYU7WaicZlJsIhJgzqhXOAfdLoQ6fvv37+eWW25hxYoV3HjjjfzoRz+iu7ubm266iYsvvljkn9IYBcu5yLthK2xYXEz/oVLoWkwjBKYuZHAkRVqyYD6ZShNL5J9kAmrT8KU0QqCm0ajFkapwfo6ommZSTCMEuRYZsosqUmmDwQLTbmBU37pBVRyZOMlktB1KODKcpCZcQXWeNclyRKEOdEoeBxRylwPfOZIdH+czRxQ2LC7GkcqQumkmlg600D4yRWEBnxMIdfxOOukk+vr6uOeee9i8eTMXXHABoVCIFStW8LnPfU7kn9IYhd4CPetAbYq1mEYI1GnrimmEIDdMXLa2LjulokjkEeCAgkajRTVCChsWF9MIgbppJsU0QpBrkSE7fZaTJRTnSI8C/WXvkNmItjhH1HC1LlKKI+oyB4UO9YZIiIG4fI7Y3UeU6C8zsoRCelRQl9Up5ICCumkmxTIYoDYN7wRCq3rfeOONvIQA+OpXvyryT2mMQlGNkMINu5hGCNQJXYtphCAX8UukDApc5sXYYaWcC6SKlN7Ui2mEFDYsLqYRAnXTTCyHa1qeCnTIRfxGUum80UlxdtjjiIo0vD2OqLscFOeIuqjwtIKZA1UcKa5ZzvY2VJKGT3DkjPxV3Up13HGrP2qxs8Z/jjQo2kecQqjj193dzfe//31ee+01hoeHsz//61//KvLPaIxDKY0QqCuqKLZhNygSuhbTCJl2qBktVKxnHeQ27GhcjW6qmEYI1OmmCmmEQN00k2g2jZf/cmA115Y9qcI6OEpxREU0p7/ACDvTDnUNiy1ZQjGOqMwcFLpAqirOyu4jhS4HCiN+hUbYjbZDSTXtkLmf+c2RXGN8/wv4nEBoqveSSy7hqKOOYseOHVxzzTXMmzePlStXivwTGuNQSv9RFQpSEVCkrSsRfm+oChFTZEch/YdlRzyVlh5ZKnVTt0TI/cNy16QURyIKm1qXTNEoqri2yxHZ1aMlW4ZYQnXJuqlU2iwgKcWRWEJdNKcoRxRFc6rDQarCBS6yioqzis23hlH7iO8cqVDW+LwkRyIhYooyB1WhIDXhws6wqgI+JxBe3HH55ZcTDoc57bTT+NWvfqWjfZJRSv9hNqNVo4mJZqJKhdL9qgTzZnSrsEZIVduBbDSnxE1d9qFuiyOKmloX0wiBumkmpbSG2Xmfg5I5UqJyVFU0diDL1TLgyFCpfUQlR/J3S4DR+4hcqUa5caSQLAHUOeVWf9RiHFEx8aYvnok8luCIiuIsJxDq+IXD5mbZ3NzM5s2beemllzhw4IDIP6ExDlY6oujDqKqookiRCagTzEdtpJwBDkhOjRRrbwPqNuxSkUdQx5G+UhyJqBFD5yIGJTZsyRzJppxLcER2xKBUI1ooo31EFUeyl4MSjp/k3oZ2pCsAg5IvkKUij6Cu8XlfEVkCqGuOHx2yyxH5aXgnEOr4ff3rXycajXLTTTdx44038pnPfIb/+Z//Kfqayy67jKamJpYsWZL92YEDB2hra2PhwoW0tbXR09MDmAORr7zyShYsWMDSpUt58cUXAbOo5LjjjmPp0qXZfoHJZJL3v//9xGIxkR+x7FBKIwSWwyX/YSymETLtUPMwltIIKYv4ZQ/1QhohVY5f8cgj5DRtstEXL6wRytqhiCPFNELqojmF+5GBusKbUv3IQF3j82JFJqCQI/HielRVxVmlitVUXQ5yZ02p70ZNkVjJ/UxFVX6JlHOu8flB7Pide+65NDY2smTJEh577DFeeOEFVq9eXfQ1n/rUp3jggQfG/Gz9+vWcddZZbNu2jbPOOov169cDcP/997Nt2za2bdvGhg0b+PznPw/Az372M2655Rbuu+8+brzxRgB++tOf8olPfIKamhqRH7HsUEojBFaK1V/NbOzsAAAgAElEQVT9B+SKKuQL5ks8jNlGo7KjOcUrR2sqKwgG5B/qpYpMQCFH4iU4krFDvmDe5oYtmSO5aTf5v5scR9RcDkpf3ORyJJ3hSOnLgQKODCWpjRTbRzLVtLL3kWzLkPxrUh2uUKLjzmaXiu4j8oMMJkdKXCAVTbyxil3CwUIXSHXFWU4gpKr3i1/8YsFcO8APf/jDgv926qmnsnPnzjE/27RpE48//jgAa9as4fTTT+d73/semzZt4tJLLyUQCHDiiSfS29tLZ2cn4XCYWCxGLBYjHA7T29vLvffeO8GhPBhRSv8B5sP4Tk+MdNogmKeBrwiU0gjBWMH89Nr8t1cRiA4laWmsKshJy/GT3dS6bzhJgMIbtqWbKodUb2N1mB371XCkmCxhtBj6MClWmIgOJ2mujxThSKYZrWyOxBMmRwqk8ZRxpIQeFRRxZKScOJJgZlGOWMVZijhSQA6gSsddaswhmBfI7sERUmmDCokcMUrYMXqayWF1UswAzH2kqa6y4POgsvG5EwiJ+K1YsYLjjjuO4eFhXnzxRRYuXMjChQt5+eWXGRlxHgbfu3cvzc3NAMyaNYu9e/cC0N7ezpw5c7K/N3v2bNrb2/nCF77Ad7/7XdasWcO6deu47rrrWLduHcECXvjBhFIaITDJNzCSIpGWd/uxoxFSNRrMjkYI5BdVWCmrygp/dVN9djgSkZ8+s6MRyhZVKEixlopugfxImyVSzzftxkJ9JCRdv2VFc/zmiBXdKheOlIo8gppobE1lBVWlOKJoHynU0BrU6LjtZLlUSTWiQ4my4IhTCIn4rVmzBjDTq08++SShkPm2n/vc53jf+97n6b0DgUDRaCLA4Ycfno0Qbt++nd27d7No0SI++clPMjIywnXXXceRRx454XUbNmxgw4YNAOzZs4eOjg5PtgJ0dXV5fg8neHdvNwCBoSgdHflTqKHUCANDI+za3UFNkYfFC7Z3D5l2xAfGrOPo9UgNDQDw9u4OZgQGpdgB5sMYSsULfp+xAXMz6D7QI+Q7L4Q9B/qoCQfo6d5Lsj/3qI1ek5oQ9PQPSrXD4kiwCEcq0iMMDI+wu91njgybHNnZ3snMoDx9bnRohHC6GEdMR6irTDjSOxBTwhFivUU50q+II9jgyI7dPnNkUCFHQiU4UgFR2RzZY+0jRTiSijMwnGBXe3vRi5UXbN+f2UdGBkueNTt2dzKrQi5Hip01Q4o44hRCv5menh76+vqYNm0aAAMDA9nCDCeYOXMmnZ2dNDc309nZSVNTEwCtra3s2rUr+3u7d++mtbV1zGuvvvpqrr/+en74wx/ymc98hnnz5rFu3Tp++9vfTvg7a9euZe3atYAZtWxpaXFsaz6Ieh87CL5hPgTzZ7fQ0tyQ93dmTeshljzAtKaZBQXCXrEzblZvN02fPuHzW/89tzsAvINRPYWWlmYpdqTTBoOJF5je2FDwe2iIJ4FXSVXWSP2uEsF26qsqmdPaQs24TdD6u9Pr3mbEMKTaEchwZN7sZlpaGvP+TvO0XmLJA0ydMVNaGt4WR/YHgJ3yOTJSnCON8SSwlbRkjiQzHJnd0jJh+s4YjqTlciT4psmR98xp8ZUj74xYHJlmgyON0tYknTYYGHmBaY31Bf/GlBGTI6mwgn2kugRH6t9mJCV5H3HAkWkzZpUFR6iRxxHDKM2RqYkUsJW0ZI44hdBc6Ne+9jX+7d/+jU996lOsWbOG5cuXs27dOsfvs3r1ajZu3AjAxo0bOe+887I/v+222zAMg2eeeYbGxsZsShjgb3/7Gy0tLSxcuJBYLEYwGCQYDB7Ulb2W/qOxqnhV73AyLbWhpR2NkIqiCjsaoVqFgvnaylDBliGQq5Q0DHkFL6U0QmB+N8PJNEMJ+Ryxk4aXzZFSGqGaSjWC+VK94sAcDTYwkpTLkYwetVDrIchodGXvI7bkABmOSJx4MziSynCksB3V4Qoljc/NlHNFcY5UhRkYSZKW2LeuVHsqyHFEpt7QXiGS/KIKiyPFdO1VCpvjO4HQiN+nP/1pPvjBD/Lss88C8L3vfY9Zs2YVfc3HP/5xHn/8cbq7u5k9ezbXXnstX/va1/jIRz7CL3/5S+bOnctdd90FwDnnnMN9993HggULqKmp4de//nX2fQzD4Prrr+f3v/89YEbzLrnkEpLJJD/96U9Ffsyygh2NUE7vkGT2FEl22NEIKSiqsKMRUllUUVekVxxYmpgBEimDypAcMbQdjVCuNUVCGkfsaoRG/65MO4o5fjnBvPz+eSU5EpHPkehwwj5HhhLMmSrFjKxm2RZHJPbP64uX1izn9hH5RWKlLpBWi5tEOk0kKCcNb3VLsHPW9A4lOFwSR6wLZHGOyC+qsKNrV8URpxDi+P3rX//iqKOOyvbVswowOjo66OjoYPny5QVfe8cdd+T9+aOPPjrhZ4FAgFtvvTXv7wcCAR5++OHsfy9atChrz8GMbD+yIrfB3IYtT+hqPYyFKlhH2yGzqMJOVAkUCeaHk8ydWl30d0b3JCv2HXqBLY4oaDTal21vU1oMLZUj2b6Gxbe/Q44jRdrbWHaA3P6XFkemFttHFAjm7UQeQU1RRXQ4weFT7HEkkTIoQWvXyEYei3HEao4vlSOZvoZlwhE7Z025jWwTQpGbbrqJn//853zpS1+a8G+BQECPbZMIaxJC0Ydx1C1Mnh1WP7LCug7rpi73YSx9CzNtUbBhDyWpm1n8Ectt2HIrrmsrzTmaxewAuY5f1BZH5G/Ydm7qpi3ye5KVqhw17cj0rZNZKRkv3vTcsgMkXw5KNCsebYfMwzRq81BXso9kxhwWtSMinyPREo3xQc1Zk+uPWoQjCqaZ2Ek5g7rm+E4gxPH7+c9/DsBjjz0m4u00HMBuGgDkjhayqxGC8ripq2g02l9iAgGYG1QskWIokUZSZsSWRsi6qfdK5giU4IiCaSZ2N+xGBYe6XY4MJdIMJ2S2yMhcIMuEI4XGk5l2yJ9mkr1AFtEKg5rG57Y4UhVmKJFmaCQFkmYW9A0XH3No2qEuyFCUIwouB3YmIoEajjiFEMfv7rvvLvrvF1xwgYg/o5EHtjRCmQckKvkWVkojVFtZQQC5G7YdjZD57yHe7RmS1ow2mUoTSxSfUgFjN8qWxirhdoCzy4FMjtjRCKmYZmJHIwTyG58nU2kGS0y7gVFzg2Mj0jgSHTLlACEbUWGZhTdWdLq6ROGN7OKsbO/LIs4FmBzaeUAeR1JpwxFHeoYStJZIC7uFNbvYjhzA2odl2VETLs4RFdNMrOegmAMKahqfO4UQx+/ee+8t+G+BQEA7fhIRHU4yt8SDXp+5IccScjfKUhqhQCBAXSRETEGqt5hGCEYJ5iWJofvj9qJK9Qr0l9HhBHNsckT2YVpKlhAIBKirlBtps6MRgrGNz8uBIzJHg1kcKdYzNbuPlAlHZNsBMLXAuEULDZHy4ohM/WV0OElrkYlIo+2QXdVriyORCulnHhQvaISxjc+rJBXeOIUQx290da2GWljC/WJQkj6zoREC+UJXOxohkC+GjtpMA2TbDkjesBeV4kiV/A07mtGzleSI5BSrHY0QWNqcJCNJORyxmypSwZE+W+lEdYd6seg0qONIMVkCyOeIFYEvzRE1F8j3zqi1ZYfs76YuYoMjkouzsmeNHY6MJEmkDEoEB5VBaIlYNBrlqquuYsWKFaxYsYIvfelLRKNRkX9CYxzs6T8svYNcTUwpjZBli4oeT6XC77IF806EvwC9ElMjTjgiu/DGzqFuRtrKgCORXIsMKXbYjOao0k3ZtUN+VLj05UAVR6ZWl7ochBVxpLQOFOTrL0tyJKKigM8+R5TIAYp0KTDtCDMgedShUwh1/C677DLq6+u56667uOuuu2hoaODTn/60yD+hMQp2NUJ12QonibcwGxohkC+Yt6MRgpxgfkiSLbari61mtJIOdbsaIasYRkWqt5gcAORzxI5GCOQ3Pre+c/sckWOHxZFSUSUVHMlpln3mSDxJdThogyMhqRyxW6wmW39pdx9RoeO2tMKlOSK3gC86nKA6HKQmXLpITHbjc6cQ6vi99dZbXHvttcyfP5/58+dzzTXX8Pbbb4v8ExqjYFf/UREMUFsptxmt5XCVmqtsPYyyphDY0X/AaMG8nI3SziST0XbIil7Y5UgwGKCuskJqFMVqS2GLIxKnmTjliKwUq1OOyDpMNUcmIlcQVYIjEcn7yLDdVK/cSJvVV7NUlXMwaOq4ZQcZbJ01mYk3sqaZ2Jm6A2raIDmFUMevurqaJ598MvvfTz31FNXVciqMNOxrhCDX50maLTbSiTBW7yDFDpsaodxIHzmaGCs6UzpVJDeKYlcjBGp0U3VlwBG7GqHRkypkwH46UW5rCrvRaZDPEUsOUApKOFJZYSudCPIuB1EHBQQgcR+xHNASlwOQr+M2n9/SdpgFfBLT8NkLZKl9RH5Ta6cQKkf96U9/ypo1a7K6vqlTp2Zn7mqIh12NEKjYsEvrP0D+FAK7+o9Gybopa+RTyQ3buqlLuiHb1QhBpqdgOXAkEiaWKAOOVKtx/GxzRJrjZ6UT7V4gZReJ2bEjXCb7iNyZsE4vB2XBkaqQ3GpaR0EGeQV8dlPOKjS6TiF0ORYtWsRXvvIV3nrrLXp7e2lsbOSee+5h6dKlIv+MRgZ2NUIgV+9gVyME8idV2NUIyW5qnW0ZUqIdhOz2B3Y1QqCGI042bGmFN3Y3bMkNi3PVxf5yJFeBbpMjkiolU2mDgXjKFlelc2Q4SW3E/0PdTtNzGKXjlryP2Lm4NVbJq6ZNO+aIvAI+S9duNypcTo6f0KvSeeedx7333ktVVRWtra3U1dVRW1u8/FvDPexqhCDXPVyGJsauRghyN3VZUwjsaoRkN7XuG04SDBSfXQym/rImLE9/aVcjBGaESxZH7GqEIHeox2VyxIZGSHZTa4sjVvS5EFRxxNYFsjokTaPrlCOxhMx9xJ5mWXbD4r54ggC56HMhyNZxO8kcyNRxW/pSuxkMmQV85cIRNxAa8du9ezcPPPCAyLfUKAK7aQAwyff2gRjJtFHyFuvcDvsHR659SYJmCVMI+oYTHFmi1xTI18Tk+hr6q5uym04E0xl+a78sjtiPPI4WQ8vhSJKFh9ngiOz0WYYjxSaZWCgrjnSXEUdicibe9A0nOWK6k31EXqSttsREJAv1EtPwdhtag/ndbO82U6yVIUkcsaPxkzzNxClHBiT2FHQKoRG/k08+mVdffVXkW2oUgdMNW1aK1an+A8zxUzLgRP8BEtNnQ/b6GoLV/V9uGs/W5cDqMJ8Uz5GcONzeTR0kFt44KCAA+Ye6XY7ISp9Z0ZxS0emsHSNJKRxxqkcF6BmWxZGkzf1Mrv7SymDY4ojEFKv1/NriSLbwRsY+4oAjVZZUQ15VvhM7ZM/9dgIhEb9jjjmGQCBAMpnk17/+NfPnzycSiWAYBoFAgK1bt4r4MxrjYFcjBKM6zKcM4TO8nWiEZDYadaoRAtnRnNItQ0BuTzK7GiHIcSQhof2BE42QzEkVjjRCkpvRWg5o2Mb8TpkcsSrQS00ygdFj7MRzJFuBXhYcSdpOOYPMogonHJGn0c1F/OxzZCSVRrTQy012SUaQIZ026B9O2ta1w0Ho+P3lL38R8TYaDmFXRwa5aE48kQIbToAzO5w/jDKq4JxohGQ3o7VbFQjmht0tLQJqTyMEo7V1EjjiJJojcZqJE42Q1YxWVjTWbh8wMDnSNSiXI/YyB2bl9/BIeXBERsPiwZEUBvYuKbIbFlsz0O1xJMS+AUkcGU4SwOYFMhImJkmj6+gCKTHIUE4ccQMhjt/cuXNFvI2GQzjRkTVUhTCAaDzBTMRqYpymnEHOhu1EIyS7GW1fpldcyIbj11Ad4p3eGMlU2tbvO7PDvkaoIRLGwNRfzmyQwxFbGiGJ00ycaIRkN6Pts9lPEEyO7OyRx5EaFxyZJVhblx2lZ8u5yBzqMfHPr9WKyU6qNxAIZGbCyrtA1lWG7HGkKsSOAzESqbSt33dkRzxhnyOZs0YKR+JOzhp5lwOLI3YuKVmOlFHET3wDJA1lcKIRslpCHBiUsVHa1wjVSxS6OokYgFzBfO+QPf0HkD04ZLQdcKIRqq8y7e2RcJg60QjVS5xm4kQjBHKb0VrVxXbtkNW+xIoq2SnWyHJEilNuvudUBxyREUWxUt92ojmWLbI40mtTjwo5jkjR1g054Ih11kjgiHUZtMURiQV8fQ73Edlzg51CO36TGJZGyI6ObHQ1rXA7hpzpPwApjYKdaIRAbjNa66Zu145YIiVlCoETjZClaZNRVOFIIyR1w7Z/U4ecUF0Gok45MpJiRAJHzH3Eniwh19tQwj6S7X3pgCMSGgU7vUDKnIrUl7m42bKjympqLWEfiduXrmTPGgn6S+u7satHBTn7SNRBdsmyReaoQ6fQjt8kRm6epJ2HMbNhS9CSWRohuwUEIOlQd7hhN1aFpZXY99us+IKcGDqelHMztasRktlo1JFGyOKIhPSZE40QyC2q6HcQ8cs2o5XFkUh5cATstwwBWRzJXA5saIXBmgkriSMO95HBkaSp0RUM6wLphCM9EuU81sSU4nbIK85yzBGJhTduoB2/SQxHGqGIvIifE42QivC7HY2Q+XtymtEmU2liiZQtHRmYG1QqbdAvydFxohECSYe6A42QzEkVTjRCIK8ZrSuOGDn7RcK6QIbsRIUlc6S2ssJeX0OZHMlqlktHlcCaZiKeI9mJSA4ij2mJHKmL2OSIZI1ubWUF1XbmSqvgiA0HFDJnjQSOuIV2/CYxnGiEsoPepTkX9vQf4YogVaGgpIfRvv4DrENd/KB3x6kiiW0HnGiEshyRkoa3z5FQRZDqcFBOisaBRghy00xEc6TfJUdktC+xO4FgtB0yOJIbeu8zR7ItkHzeR7KyBPvpRIADEjjSO+SEI6YzJOOscSJvkjnxxmmQwZxYJW98nFNox28Sw5FGSKrewb5GyLJFzqZgX/9h2SFDDO1Y+JttWCzphmw3qpTRb8nQXzrRCJm2yEmxOtEImXZYuimxHHFaZNIgUzDv5AJp9TaU9Pyah7rPHMleIG0e6pLmBmf3EZvpRJk6brvNikfbIWUfyXDEbtWyrAK+bA9dhxyRoeN2A+34TWI40ghZ1bSSwt52NUIgb7SQE40QKNiwHTrlMvpNOdUIgSyO2NcIAdRL0sQ4aT0EKi4HDjkiIZrTH086SDnLTJ8lbMsSwOSIrP0M7E27AYn7iOOosKXjlpViLQeOuLhASkp9g7Mgw4CO+Gl4hVONUL3EiJ8TjRBYgnk5/bfsaoQgF80RPejdihjY6eoO8nRTTjVCsvWXdjVCIJEjVl/DsLM2DAc7R5y0DAG5qV67M4BlFd70xZPUhO3pyCBXlS+eIw4rRyVlDrL7iE2uSuVIPGFbMgJyOVIdDlIVtu+ADiXSDJVJgYd2/CYpnGqEIqEKIhVBSSka+/oPkFfh5EQjBPJSI05G2EEufdYv+GbqVCNUGcroLyVwxIlGCORt2E40QiBv0owVzXHKEdFV6Ll9xCFHJGnraiMh/zky5MwBlaW/jLq8HIiOcDnlSE7HLWMfccqRsMRLir3+qCB3YpUbaMdvksKpRgjM5qtSGp46SDlDLoqSlKCbcqL/kFVU4bTiS1ZqxKlGCKw0vJxqWmccCUvhiFONUC6KIpYjVu9LpxwRfYhZxS6O9hFJHIk6KEQCiyNJ8RyJW5cDu/tIpv/lsKR9xIEsAcRzxGnvS8sWWXIAR3Zki7NEnzUuOSIhDe8G2vGbpHCqEQKoj8iJtDnRCEFuwxY96N3SCDnRf4D4h9Ea5+NEawjiU6xONUIgTwztRCMEo/rWSXH8nBQimd+h6EpJiyNOD3VZHLEbVQJ5HOl3UKwGGY5ImHjjnCOS9hGnWkNJUo1cytnp5UBWkZgDx0/SNJNcmyynmQM5s5SdQjt+kxRONUIgJzXiVCMEo8TQSVnRHKepXjmRtmkOxOEgvlLSqUYI5HLECVdzG7boVjvONEKytHXWdzPdgTgc5EWFy4EjA073EVkcyRSr2eZIRC5Hptm8QMoaY+dkvrUFGRxJpw0G4imHlwM500zMbgn2I36NEgv43KCsHb958+ZxzDHHsGzZMlasWAHAgQMHaGtrY+HChbS1tdHT0wPAH//4RxYvXsz73vc+9u/fD8Bbb73FRz/6Ud/slwmnGiGQE353qv+w7BgYSQmfQuBUI2RFc0Q3Go0OJwkGoLHavv6ysiIg/LtxqhGCXDRWJLxwRPQ0E6caoVwzWvGHaTAADVVOOVIOaTzxHLG0i05kCdlJFaI54lCzbDnlojkSHTYnIllOQylkddyi5QAuONIocx9xwRHxZ41TjoSzrysHlLXjB/DYY4/x8ssv8/zzzwOwfv16zjrrLLZt28ZZZ53F+vXrAfjRj37Ec889x2c/+1l+97vfAfD1r3+d66+/3jfbZcKpjgxyQteUwBSrq4MjEiKVNugTHuFyqhGymlqLP9RrK0O2q4tBTmrEqUYIzEOmLDgiaZqJW44Ij6LEJzdHBuOiOeI88mhNMxHPEaeyhEzhjRSO2O9SAJaO23+OWGl4kfpLVxzJTDOJSsjqOLUD5HRMcIOyd/zGY9OmTaxZswaANWvWcM899wAQDAaJx+PEYjHC4TBPPPEEs2bNYuHChX6aKw3WzcHxwyhY75CrYHV2qIOcogo3D6MMMbSTAgIwD3XxdjjTCIGcnmRuNELSCm8cF5nIK6pw0tcQLG2d6KiSs35kIIcj2eh0OXAkM4nIth0StXW1EfuVo2DpuMU7oABTbE4ygVyKVaSO241mWV7FtUOOSGyn5gb2v0kfEAgEOPvsswkEAnz2s59l7dq17N27l+bmZgBmzZrF3r17Afjv//5v3v/+99PS0sJvfvMbLrroIu68804/zZcKpxohyFXjjaTStvuY2bXDicNVn3ESRWpi3GiErHE7MgTzdRH7LUNAzqHuVCMEOY4kUmmqRXPEgSyhPltNK44jbjRC1jD4suCIxMuBk0PdtEMOR5wVq4mfZmJyxFmxWmO1nMbnZrGaM440SOSIk8uBxZGRpEiOWJeD8uCI05QzyGmO7wZl7fg9+eSTtLa2sm/fPtra2jjqqKPG/HsgEMjm2Nva2mhrawPgtttu45xzzuHNN9/kxhtvZOrUqdxyyy3U1NSMef2GDRvYsGEDAHv27KGjo8OzzV1dXZ7fww7au3sIBiDR10WH0W/rNcHkMIPxFLvbOxxFCothR0cUgHQsmnf98q1HMmba+27nXjrqxTwIVtq4IjFk+3u0UlX7e/Pb7hZd0UEigTT79+2lN0/D4nxrUh006Bu0b7sdtHf3EAAS0W46jAFbrwkmyoQjg30A7OoQx5H+MuRI9769eZtaq+ZIsm8/HQzaek0wMUxsRA5HjCHnHNktkCMDIykMIJiI2V7ntJHhSI94jlQFnXGkKpgmOiCYI10uOJIcZnAkye72dgYdOIzF4IYjiZi1j+yho0E0R+yvsyyOuEVZO36tra0ANDU1cf7557NlyxZmzpxJZ2cnzc3NdHZ20tTUNOY1sViM//f//h8PPvgg5557LnfffTd/+MMf+O1vf8sVV1wx5nfXrl3L2rVrAVixYgUtLS1C7Bb1PsVghA9QWxmipaWVpvqIrde0HDZAIr2XmqkzaJlWU/oFNhDeaxJ6TvNMWlqa8//dcesxL1YJvIVR1SBsrVI9QwAcNm2Ko/esCb9CKlQl9DsbTm+nsbaaObNbC/7O+L83o2EXb++PMWtWM0Gb0y1KIR0+QG1lBa2tTjgySCK9l+opM2iZLoYjIQ8cSQnkyC6XHKmtFM+RuGFy5HCHHHlrf4yZs5qpEMQRI3yAmsoKZvvMkfA+839bZ/nLkd29GY5MdcaRuspXSIWqxe4jxnYaaxxypHE327oGhHIk7ZIjyfQeqqfOoGV6rRA7Qi448p4hkyNpgRxpj5YPR9yibDV+g4OD9Pf3Z///Qw89xJIlS1i9ejUbN24EYOPGjZx33nljXveDH/yAK6+8knA4zNDQEIFAgGAwSCwWU/4ZZMKNRsjq/t8jUBMTzerIHGgNM+H3PoGCWzeVZyCnJ5nThtYwuu2AWG2dU41QThMjjiPuNELm74qcZuJGIwRyiip6h9xyRGwzWkurZLd1iWmHeI5Yz+9UvzniIuUM8vSXjjkioW9dnxuOWClWgdq6PjcckTDxxqrednPW6FRvCezdu5fzzz8fgGQyycUXX8wHPvABVq5cyUc+8hF++ctfMnfuXO66667sazo6OtiyZQvXXHMNAF/84hdZuXIlU6ZMyRaBHCywROqO9B/ZJpLiN0q7zYpH2yHyMHWjNQQ5Q7ydFplAru1AImXgoFC7hB3OxpNZdgD0CGw7kOOIkwICcxFiQjni7nJgViiWC0dSgjW6CfNy4KAQScb4qayOrNY5R0Q6XG4vBw2SKq5rHWgNwfxuYgnBHIk7a2ht2QFiW2VZ343TQiQQW5yVbaXm5qzRxR3FMX/+fF555ZUJP58+fTqPPvpo3te0tLSwefPm7H9fdNFFXHTRRdJs9BPW0HtXG7bQaI7Za8pZdXH5bNgyGo32Z4T7TmCJskVH/Mzu8k6iwplGo0Jv6kkCuIsKC+WIy8uBjNnSbjkyGBfbsNiK5jjLHIhvWNznIXMg9gJp9b4sE464uqSIbY7fN5wwC5EcZQ4y2SUZHPE9yJC5QDp8fhurwsIvkG5RtqlejeKwojkhN4e64GhOTWUFVQ56TcmM+DU6FJuLHuKdSKWJJVKOU0UNVSHiyTQxgY5OdNiaUuF8wxbJkehwoiw4EnXNEdMpNwwxDlfSC0dSaaHpIqtnXb7igcJ2SDjUM/NxnfSskzHxxjVHMjNhRXLE6UQkyHFkMCFwTYbccET85cBqmuyKIxIukE566ILFEXH7iBdox2+Swq1GCMyZmKLgRliivQ8AACAASURBVCNUFQoSCoqdQuBGIwTih3j3u00VSUifudMaZnRTAjniRiMUCQUJC+aIG40QWFNEkiQF9SRznU6sEh+NdTqlYrQdIrV10SHn0pUcRyRIVxxzxLxAiuKIm2k3MErHPSje4XLEkYgc/aVzjoifeOP+AhmWMmLQDbTjN0nhViME4sPeTjVCgUAg2+dJnB3ONUIgXgydE4c7TeNZTa3FRmPdaIRAMEdcaIQCgYBwMbQbjRCMKrwRlD7zzBHB6TOnaU1ZHKlzyREZlwMnvS8ht48I54hTOYAMja7Dpuej7RCd1TEdP2dui+jiLIsj051ypEpskMELtOM3SeFKIyRD6OpCIwQyHkbnGiHI3NTjSWFDvN00KzbtEJ8acaURkjDNxI1GCCRyxM2GHU8Km0JQbhxxU8gACNUruZl2A+KbWufSeE4vByEGRHLEbQGBhEkV7i4HGR234IifU80yiK+4djMRCUbNqNeOn4YbuNYISRLMO9V/QE6ELMwOFxqhrB0jKeKCNDFu28rkDnUx340XjRCI5YgbjZBli1j9lkuORMRyxEt1MYhz/FJpwxNHRDtctQ7lAJYtQrk6nKQmXEG1izWJjaQYFrQmVjWsW6c8KijiV04ciWYvBw45EhGr4+6LJ6kOB6kKO3OfGiJhYiMp4gnt+Gm4gFuNUE1lBcGA2PC7G40QWNW0/mqEwNwoDSAaF7NReo3miNqw3WqEqsMVVATE6y/dcUTs3FE3GiEwvxsDcQUvUY8cEdX/MueA+s+R3iFTMuKOIzLSic6dC5EcyUb8HGd1zEibKI643Ufk6LiT7jhSLfgCmbnIOs1giN5HvEA7fpMQbjVClrZO9Ebp9AADUxg7OJIiLTA14lQjZNqRaTQ6KOowdVfxJToa61YjZOqmKiRo/Jz3FLNa7QjjiEuNkDWvtydWHhwR1Yw2d0lxyxGx+kunsgSQwJG4u5SztY+IKs5yL10RzRF3kcfcWSNeDuAU1gUyJZAjdS72Eeu7EanRdQvt+E1CuI0qQUY3JVB34UYjBKOKKtKixNDuNuxsFdywmN6GfZnI4bRa51pDEBeNdasRAvEccXs5ED3NxK1GKFdxLZYjzrWGcjji5vkVfYHsz0hGnMKaZiKUIw6L1SDnlIvS1mUvBy50ZCCQIy4vByBBoxt3XtAIcgr4nBarWXaA2D66bqEdv0kIt7cwyGnaRMCt/iNnR5KRpNhojhuNEIhrkWGN85nqQhwO4jZstxoh0xZx6TMRHBHV/sC1Rkiwti5bgV4uh7prh0scRwY8cURciwyvHBFVTRv1UF0MAvcRTxwRe9YMxL1xROTloDbigSMCJ2e5hXb8JiHcaoRA7MPoViMEuWo8URE/txoh4Yd6PEkwAI3Vzjao2soKAghM9brUCIHY0UJuNUKQ44ioDdutRkj0pIrocHlwxG0hElgcEawjcxtVigvkSEYr7HwfCWdeL+5yYE5Ecvbc5HTc/qZ6QWzhzYBXjgi8QLrVtYvmiBdox28Swq1GCHJiaBHdw72kARqqwkInVbjVCImuPrPSAE4rRwOBAHUCHS63GiEw9UoDI0khuimvB4dQjrjUCFkbtmiOVFa444io+cVu29tAbgqBSI64jSrFU2L3EXcpZ0tbJy4Nb+pRXXCkUvw+4mQkpwXrrBHDEW+Rx5GUIawnqJseupYdgNDepG6hHb9JCLc6MhCbPvOiERLdb8q1Rihi9ZsSFwV1OibNgkhNjFuNEJhrIkp/6elyYGliBEZjvWzYojnitCoQxPatc9uPDCRxxGXkEcQWVXjhqsjirLqI88pRQGhTa7dNzyHXt04IR+IeOCJYzmP1rnVsh4TZ0m6hHb9JiOyG7VBHBrkNW0RqxNMtTOCG7VUjBGJTrLUR5+0gLFtEO35ONUKWHTFBuimvN3UQw5G0R40QlBNHBFcXO0wn5uwQyxEvkTYRE29Mjni8HAiU0bhpKwNi0/BeORIbSQnRcXuRFYmceGNxxE3K2RrxJrK1jFtox28Swq1GCMQKXT1phAQe6l41QiAujZft8eQi4tdYJa6aNjqccKURgvLjiAhtXTlyxE1UuFHg5SDHEfeZg4OJIwMjSQyXdtRLKKpwzZHqMuGIpa0TEPGLDpdHdinHEXeaZRDbHN8ttOM3CeFWRwaZW1gixbCA7uFe9B8iJ1V40QhVhoJUhYLCb+ohV4e6QP2lS40QmBt2LJFiSMCaeOKI1WpHwKHuJfIYrrA4IlZr6M7xE8uRmsoKqtzsI5EQQ4m0WI64iU5nOCLC8XPbHxUgVBGkOiyWI24lI6J13K45UhUuD44IbI7vhSMVwQA1YbE9Ut1CO36TEF42BZG3n1w60Y3+Q1yFkxeNEGR0U8Iibe5SRSA+feZWIyTUKfeoEQLoE2iHW46Ys1jFRXO8cUSQRlcAR4Q45XFLa+g+xWpFhDzZ4aFbApjOsEiOuIlOQ/lx5ICA/pfW5d4LR0RMM/FygQSx+ksv0I7fJIQnjZClrRPQsNiT/kNgasSLRggEi6GH3TW0htEbtohorAeNUJWlifGZIwJ1U140QiC+8MYbR0RpdDORR4czlE07rGkm4i5uUz1cDkRE2rwUqwHUV4V9rxwFwTruTObAFUesNkgCJt5kLwduOCJw4o1XjjREQrqqV8MdvOjIRG7YXjVCIGbD9qIRApgiUjAfT7iqCoRcFZwY3ZR7jZBI3VT5cMTbhj2lWtzcYK8cETWFIJqpTvQW8fN+OYhmozleOOLdKc81PXfncE0pqwukII4Mua9AF8oRqzG+K46Im3iT5YjL51ekRtcLtOM3CeFFRyZU7+BFIyQ0muNe/wHiBr0nUmmGEmnXB0dDJExsJEVciP7SgxxAYMNiTxqhiLgN2ztHxGzYIjgyKJAjtZUhQl6iOUI0uqaT40qzLJIjmWhOowvnAsTtI8lUmljCXQU65Bw/UTpu1xwRKhlJuOeIyLMm7r6HLojjiFdox28SwpNGSGT43YP+w7Jf5MPoRv8BuY0y6fGG3C9AR2Zgdob3Cq8aIcjdsr3AC0dykyrEpXrdcyRcNhwBMaPBrIif0wkEo+0QJZivcylLEDnNJDdKzyVHqs3MgTCOuNUaWg6XEI4kPHAknH0Pryg3jrhpeg45joiaG+wW2vGbhPCaBgBRD4F7jVAwGKCuskKI3sGLRgisQz1JwmOHea9aQ6GCeU8FBFYURYwmxhNHBGlivGiEQFz7ElEcOSBg0HtfZoSdOzvERtrcSlcsjojojWZdDtwUIkGmfYmA8XFeKkctO0AQR+IeOCJYx+2WI4FAQJhGt8+DLAFyBUDa8dNwDK8aIRDTk8yLRgjEFVV40QjBKMF80tvDmNUauv1urMIbQYJ5rweHEI540AiBuKIKLxohsHqSea+4FsURkSlWL3aI0k25bW8D4qaZWDrQRpdpPCsqPOKZI14vB2ILb7wHGcTs8Z44IuyscT/tBsRxxCu04zfJ4FkjJPKm7kEjBLnD1Lsd7jVCkCuqiCe92eL5pi4oRSNCIwRib+quOSJow/aiEbLsKCeOeI0Ki+KIqIi9eah74YgYO2rCFVR7rMof8cwRb8VquX3E25qk0gaDLicijbajLDgiKnMwnKQ6HPTMkXjCX52fdvwmGbxqhKzXiaqUdKv/gMztR0SJvQf9B5ibQipt0O8xXWQd6vUuUyP1gooqvGqE6iLi5ABeNEJgpc/KgCNVYVJpI5sy9mIHeOeIV91Ubh/xyBEBKdbocIK6SMgbRwRdUupctsmy7EgZeOdI5vX1VR45ImofccuRSpEcSXrjiKgLZEZC48UBTQvgiFdox2+SwatGKNdhXlA0x+UBBrlKSa8d5r1ohGBU3zqPmhgvUypG2+G1CazXqJLIDvNeNEKQGz/lmSMeNEIgrvG5OI6IcUDdppyFc8QlV0EgR+Le0onCOeI65Swm0tbnUZYQDAaorRTEkUyq1y0aq8IMxsVxxO0+0lgtbra0F2jHb5LBq0YIMiO5BKZYXdtRFWIwkSLpsajCq0ZIVPosqzV0W/GVscPrd+NVIwRmtKE8OBJmMCFGW+eJIxGxHHHv+InmiPvvpj4z/tErLKfcLRqqzDZInjnioT+qaYc1qcJnjkTKhyPW+Eev8M6RELGE92kmnjkicAylF2jHb5LBazQHxHSY96oRglFCV49FFSL0H+D9YcxWF1e5rxwF7ylWrxohEKOJ8aoRsuwQ0YxWhI4MxEVzprkWh4vRX3qZb521RUAaXhxHvLfIyEX83MsBAHoGxWQOpnm8QHrniLdUL2SKKgRwZMArRwRNvOmLJ6iNeN9HegVUXHuBdvwmGbzOkwQxzWi96j8g8zDGvbdR8awRyj6MHg/1eJKKADRWu58ZDN6rabNzaT1EhUVyxOtNfTDuvY1KNCNL8MwRr5cDQRzxfKiXGUe87GeiJt6Y0RxvelTwXlTRN5wkGHA35hAEcsS6HHjiiPeGxZaswVOWS9A0E++6dnE9Fr1AO36TDNmokss0AIjZsL1qhCAXzfFa4eRVI5TVxAjQTdVWhlxXjoYrglSFvOsvcxxxF1UCMRu2iINDVKsda5KJazsi4rR1ZqrIK0fEaPzcphPB5IjnS4qI6HRGluB1mklfPOnZAQUBHIl740hOx10OHDGdci/aOhGRR2vijddpJiJSzuBdx+0Vk9Lxe+CBB3jve9/LggULWL9+PQCXXHIJS5cuZd26ddnfu/7667nnnnv8MlMKvOrIINew2EuHeSH6D0GTKrw+jFbfLq+HmFcdGYhpTeFVIwRiOsyL0QiFy4Mj1WKisRZH3PY1hEyEy+PBket96f5yIJIjXp1yERyJCiggAO+RNkuz7IkjEREc8X6BtPYzLzruaFaW4P1yL4IjIi6Qfo9tm3SOXyqV4gtf+AL3338/r7/+OnfccQdbt26lurqarVu38txzzxGNRuns7OTZZ5/lQx/6kN8mC4VXHRlY6TNvqREhGqGsbsq9oyNEIyRQE1ProR0EiGlY7FUjBLkpBF4OdSE39eykCvcbthCNkLD0WXlxxEvmQIT+0muXAhBTVJFOGwzEU0K46rmaNpPB8MQRIRF7ARwRoOMWyhEP2jqLI15TziCmt6EXuF9Jn7BlyxYWLFjA/PnzAfjYxz7G5s2bGRoaIp1Ok0gkqKio4Jvf/CbXXnutz9aORfdAnLhHjUF737AnjRCYG3Z/PMnOniEaXfaK2nEgBnhM42VuP9u6B5gztcrVewhJOWfWYN9AnPbokOv36RqIe6r4AjM10hNLeLKjPTrsSSME5oZdFhzJ/O3t3YMcPrXa1Xv0C+BIfblxZGjEM0cC5CKZbiCSIyIubtu7B5nrkiNWdMxT0VzmcrCv39t30zUwUh4c6RsSwBHzrHmn12eOZL6b7V2DzJtW4+o9chzxUOwicOKNF0w6x6+9vZ05c+Zk/3v27Nk8++yzzJgxg+XLl/PJT36S7du3k06nWb58uY+WTsTHfvMij27r9vw+U6vDrnVkANNrKxkYSbH4+497tmV6rfvI4/Ra0/G79I6XPdvhtucVQCRUQU24go3P72bj87s92XHq/GmEPGzY02sjPPxmF7O//YgnO6ZUu9cIAUyvCZcHRzJzU8uBI7WVBxdHGqtCVHnZR2rMaI4IjhxW550jawRwxO24NoDKUJC6ygpue2E3t73gjSPv88qRmkoeKguOVJYHRzJ70Kd+/4pnO9w6sGBypCoU9F3jN+kcv0K4+eabs///P/7jP/jZz37Gd77zHV555RXa2tq44oorJrxmw4YNbNiwAYA9e/bQ0dHh2Y6urq6C/3bpkiksneY9uz63MUKsp5uOPnepgA8fUU3835s9j59qiFTwnsrhoutWbD3eW2Pw3TNn0+Wx/UG4IsgZzUFP398vV7+HLbv7PNkBsGxWTUk7iq3J109uYslU9ykeC3MbIwz1dtHR745vFx5RzXAZcORIURwJBjh9lleOzOfZXVFPdgAcO9MjR/794OPI/Eh5cMTrPvKLMuHI1f/exGIBHDncI0cuOKKKIQEcqffIkYXV4jhyZnOFJ458+4zZNEa88cwrAobXVtaK8fTTT/Otb32LBx98EIAbbrgBgP/+7/8GYNOmTbz00ktcfPHFrF+/nl/96lesWrWKP/3pT9TUFA7xrlixgueff96zfR0dHbS0tHh+n4MFej0mQq/JWOj1mAi9JmOh12Mi9JqMhV6PsSjm00y64o6VK1eybds2duzYwcjICHfeeSerV68GIJFIcPPNN/OVr3yFoaGhbK+dVCrFyIi/DRM1NDQ0NDQ0NPzGpEv1hkIhfvzjH7Nq1SpSqRSXXXYZixcvBuDWW29lzZo11NTUsHTpUmKxGMcccwznnHMOU6ZM8dlyDQ0NDQ0NDQ1/MekcP4BzzjmHc845Z8LP/+u//iv7/wOBAHfccYdKszQ0NDQ0NDQ0yhqTLtWroaGhoaGhoaHhDtrx09DQ0NDQ0NA4RDDpqnpl4bDDDmPevHme36erq4sZM2Z4N+gggV6PidBrMhZ6PSZCr8lY6PWYCL0mY6HXYyx27txJd3f+vsHa8RMMUW1hDhbo9ZgIvSZjoddjIvSajIVej4nQazIWej3sQ6d6NTQ0NDQ0NDQOEWjHT0NDQ0NDQ0PjEEHFt771rW/5bcTBhuOOO85vE8oKej0mQq/JWOj1mAi9JmOh12Mi9JqMhV4Pe9AaPw0NDQ0NDQ2NQwQ61auhoaGhoaGhcYhAO34aGhoaGhoaGocItONXArt27eKMM87g6KOPZvHixdxyyy0AHDhwgLa2NhYuXEhbWxs9PT0AGIbBlVdeyYIFC1i6dCkvvvhi9r0qKipYtmwZy5YtY/Xq1b58Hq8QtR6PPfZYdi2WLVtGVVUV99xzj2+fywtEcuSrX/0qS5YsYcmSJfz+97/35fN4hdP1+Ne//sVJJ51EJBLhxhtvHPNel112GU1NTSxZskT55xAJUWsyPDzM8ccfz7HHHsvixYu55pprfPk8XiGSI/PmzeOYY45h2bJlrFixQvlnEQVRa/LGG2+M2VsbGhq4+eabfflMXiCSI7fccgtLlixh8eLFk3IthMPQKIqOjg7jhRdeMAzDMPr6+oyFCxcar732mvHlL3/ZuOGGGwzDMIwbbrjB+MpXvmIYhmFs3rzZ+MAHPmCk02nj6aefNo4//vjse9XW1qr/AIIhcj0s7N+/35g6daoxODio7oMIhKg1+ctf/mK8//3vNxKJhDEwMGCsWLHCiEaj/nwoD3C6Hnv37jW2bNlirFu3zvjBD34w5r3+9re/GS+88IKxePFitR9CMEStSTqdNvr7+w3DMIyRkRHj+OOPN55++mnFn8Y7RHJk7ty5RldXl9oPIAEi18RCMpk0Zs6caezcuVPNhxAIUevx6quvGosXLzYGBweNRCJhnHXWWca2bdvUf6Aygo74lUBzczPLly8HoL6+nkWLFtHe3s6mTZtYs2YNAGvWrMlGqzZt2sSll15KIBDgxBNPpLe3l87OTt/sFw0Z6/GHP/yBD37wg9TU1Kj9MIIgak1ef/11Tj31VEKhELW1tSxdupQHHnjAt8/lFk7Xo6mpiZUrVxIOhye816mnnsq0adPUGS8JotYkEAhQV1cHQCKRIJFIEAgEFH4SMRDJkYMFMtbk0Ucf5YgjjmDu3LnyP4BgiFqPf/7zn5xwwgnU1NQQCoU47bTTuPvuu9V+mDKDdvwcYOfOnbz00kuccMIJ7N27l+bmZgBmzZrF3r17AWhvb2fOnDnZ18yePZv29nbATNOsWLGCE088cdKmNUfD63pYuPPOO/n4xz+uznCJ8LImxx57LA888ACxWIzu7m4ee+wxdu3a5cvnEAU763GoweuapFIpli1bRlNTE21tbZxwwgmyTZYKr+sRCAQ4++yzOe6449iwYYNsc5VA1HNzsOytXtZjyZIlPPHEE+zfv59YLMZ999036fdVrwj5bcBkwcDAABdeeCE333wzDQ0NY/4tEAjYunW/8847tLa28vbbb3PmmWdyzDHHcMQRR8gyWSpErAdAZ2cnr776KqtWrZJhplJ4XZOzzz6b5557jpNPPpkZM2Zw0kknUVFRIdNkqRDFkYMJItakoqKCl19+md7eXs4//3z+8Y9/TFoNpIj1ePLJJ2ltbWXfvn20tbVx1FFHceqpp8oyWTpEPTcjIyP8+c9/5oYbbpBhpjJ4XY9Fixbx1a9+lbPPPpva2lqWLVs2qfdVEdARPxtIJBJceOGFXHLJJVxwwQUAzJw5M5uy7OzspKmpCYDW1tYxt4ndu3fT2tqa/TeA+fPnc/rpp/PSSy+p/BjCIGo9AO666y7OP//8SZ/CEbUmV199NS+//DIPP/wwhmFw5JFHKv4kYuBkPQ4ViF6TKVOmcMYZZ0xKOQCIWw/r2WlqauL8889ny5Yt8oyWDJEcuf/++1m+fDkzZ86UZq9siFqPyy+/nBdeeIG///3vTJ06ddLuq6KgHb8SMAyDyy+/nEWLFnHVVVdlf7569Wo2btwIwMaNGznvvPOyP7/tttswDINnnnmGxsZGmpub6enpIR6PA9Dd3c1TTz3F0Ucfrf4DeYSo9bBwxx13TPpUhKg1SaVS7N+/H4CtW7eydetWzj77bPUfyCOcrsehAFFr0tXVRW9vLwBDQ0M8/PDDHHXUUfIMlwRR6zE4OEh/f3/2/z/00EOTNvop+rmZ7HuryPXYt28fAO+++y533303F198sRyjJwv8qSmZPHjiiScMwDjmmGOMY4891jj22GONzZs3G93d3caZZ55pLFiwwDjrrLOM/fv3G4ZhVt3953/+pzF//nxjyZIlxnPPPWcYhmE89dRTxpIlS4ylS5caS5YsMX7xi1/4+bFcQ9R6GIZh7Nixw2hpaTFSqZRfH0cIRK3J0NCQsWjRImPRokXGCSecYLz00kt+fizXcLoenZ2dRmtrq1FfX280NjYara2t2Wrmj33sY8asWbOMUChktLa2HjLPTaE1eeWVV4xly5YZxxxzjLF48WLj2muv9fmTuYOo9XjrrbeMpUuXGkuXLjWOPvpo4/rrr/f5k7mHyOdmYGDAmDZtmtHb2+vnR/IEketxyimnGIsWLTKWLl1qPPLII35+rLKAHtmmoaGhoaGhoXGIQKd6NTQ0NDQ0NDQOEWjHT0NDQ0NDQ0PjEIF2/DQ0NDQ0NDQ0DhFox09DQ0NDQ0ND4xCBdvw0NDQ0NDQ0NA4RaMdPQ0NDQxG+9a1vceONN/pthoaGxiEM7fhpaGhoaGhoaBwi0I6fhoaGhkR85zvf4cgjj+SUU07hjTfeAOCHP/whRx99NEuXLuVjH/uYzxZqaGgcSgj5bYCGhobGwYoXXniBO++8k5dffplkMsny5cs57rjjWL9+PTt27CASiWRHsGloaGiogI74aWhoaEjCE088wfnnn09NTQ0NDQ2sXr0agKVLl3LJJZfwm9/8hlBI3781NDTUQTt+GhoaGoqxefNmvvCFL/Diiy+ycuVKksmk3yZpaGgcItCOn4aGhoYknHrqqdxzzz0MDQ3R39/PvffeSzqdZteuXZxxxhl873vfIxqNMjAw4LepGhoahwh0jkFDQ0NDEpYvX85HP/pRjj32WJqamli5ciWBQIBPfOITRKNRDMPgyiuvZMqUKX6bqqGhcYggYBiG4bcRGhoaGhoaGhoa8qFTvRoaGhoaGhoahwi046ehoaGhoaGhcYhAO34aGhoaGhoaGocItOOnoaGhoaGhoXGIQDt+GhoaGhoaGhqHCLTjp6GhoaGhoaFxiEA7fhoaGhoaGhoahwi046ehoaGhoaGhcYhAO34aGhoaGhoaGocItOOnoaGhoaGhoXGIQDt+GhoaGhoaGhqHCEJ+G1AuOOyww5g3b570v5NIJAiHw9L/zqEAvZZyoNdVDvS6yoVeXznQ6yoHstd1586ddHd35/037fhlMG/ePJ5//nnpf6ejo4OWlhbpf+dQgF5LOdDrKgd6XeVCr68c6HWVA9nrumLFioL/plO9GhoaGhoaGhqHCLTjp6GhoaGhoaFxiEA7fhoaGhoaGhoahwi046ehoaGhoaGhcYhAO34aGhoaGhoaGocIdFWvhoaGhoaGhoYLvLFvgHX3/ZM9/XFOmz+daz/wXsIV5R1TK2/rNDQ0NDQ0NDTKEFve7eHkHz3JI292MxBPcsNft3PyD59kKJHy27Si0I6fhoaGhoaGhoYDDCVSfPS2F6gOVXDbx5fx4lWncesFS3h+d5T/e88//DavKLTjp6GhoaGhoaHhAN//63Z29gzxjbaFrF4yi4pggP/89/fw8X9r4RdbdvHszgN+m1gQ2vHT0NDQ0NBwgT19w6TTht9maCjGvv446/+6nbYjD+OiZS0EAoHsv/3o/GOoCVfw9Qfe8NHC4tCOn4aGhoaGhgM8tr2bZTf9jeZrH2b+dx/ldy/u9tskDYX49XO7GE6mWXviXKbVVI75t+m1lVxxwuE8tr2bN/b1+2RhcWjHT0NDQ0NDwyZe2NXLf/xyCwdiI3zupLnUhCv4xG9f4q6XO/w2TUMB0mmDDc+8w/LWBs5YcFje3/k/p7yHtAHff+wtxdbZg3b8NDQ0NDQ0bGAwnuS8Xz9HQyTEhg8v5acfXsrz//d9LJpZx2W/f5ltXQN+m6ghGY9s6+Lt/TEuOKaZ6bWVeX/nPdNr+OBRTWz6xx7iZVjhqx0/DQ0NDQ0NG7jliR20R4e57oPvZdVRTQDUVIa4/4oTSKTS/H/3vu6zhRqyccdLHdRHQqxePKvo733q+DnsjyX406t7FFlmH9rx09DQ0NDQKIH9gyN877HtnDp/Gh9a0jxG0H/41BquOHEum1/fyysdUR+t1JCJZCrNva/t4ZT3TOW9TXVFf/eDRzURCQW55zXt+GloaGhoaEw6bHjmHfqGk/znyfPypvi+/v6FhCqCfOvBN32wTkMF/ndnD/tjCU47YjqVoeLuLCbeYQAAIABJREFUU10kxNlHzuCx7d0kkmlFFtqDdvw0NDQ0NDSKwDAMfrXlXZa3NtD23hl5f2dWQxUfObaZh9/soic2othCDRW45x97CFcEOLNAUcd4fGRZC/sGRrjvX3slW+YM2vHT0NDQ0NAogr+/vZ/t3THOWzJrQvuO0bjs+MMZHEnxi2ffVWidhir8+bU9rJwzhaNn1tv6/XMWNREA7v/nPrmGOYQyx2/Xrl2cccYZHH300SxevJhbbrkFgAMHDtDW1sbChQtpa2ujp6cHMG9YV155JQsWLGDp0qW8+OKL2ffauHEjCxcuZOHChWzcuBGAeDzOBz7wAZYsWcJPfvKT7O+uXbt2zGs1NDQ0vOKBf+1j3X3/5FsPvkHvUMJvczQk41dbdlFbWcG5R88s+nunzp9Oa2NVWQr6Nbxh54EYb+2PcfLcqdRGQrZeM62mkmWtDWzZ1SvZOmdQ5viFQiFuuukmXn/9dZ555hluvfVWXn/9ddavX89ZZ53Ftm3bOOuss1i/fj0A999/P9u2bWPbtm1s2LCBz3/+84DpKF577bU8++yzbNmyhWuvvZaenh4efPBBTjnlFLZu3crtt98OwCuvvEIqlWL58uWqPqaGhsZBDMMw+OYD/+KDP3+W7z/2Ft9+6E2O+O6jPPNOj9+maUjCSDLNpn/s4cwFh7FkVkPR3w0GA6xZMZtn3+3h7f2DiizUUIHHtncDsGLOFEevW/XeJrZ29tMRHZJhlisoc/yam5uzDlh9fT2LFi2ivb2dTZs2sWbNGgDWrFnDPffcA8CmTZu49NJLCQQCnHjiifT29tLZ2cmDDz5IW1sb06ZNY+rUqbS1tfHAAw8QDoeJxWIkEgkMwxyh841vfIPrrrtO1UfU0NA4yPGjJ3dw3cPbWL14Js//1/t4cO2JRCqCXPDr5zgwGPfbPA0J+Pvb+4kOJzndhqAf4Pxjmkkb8LsX2xVYp6EKf93ezdTqMCfNnerode9feBiptMGfXysfnZ+9eKVg7Ny5k5deeokTTjiBvXv30tzcDMCsWbPYu9dcnPb2dubMmZN9zezZs2lvby/484suuojbb7+dE088kS9/+cv8+c9/Zvny5bS0tBS0Y8OGDWzYsAGAPXv20NEhv/N6V1eX9L9xqECvpRzodc2Pjv4R1m3+J8e31HDNyYfRFBikqR5+du48zr/zDS761dPcfuGRBV+v11UuZK3v7559l0hFgGVTUrbOiFlBg+nVIR75ZzuXLS7e8mMyQPPWjPQ/8sY+jm2qglgPHcP2U7fvqUpTWRHgkdd2sXpeTh/q57oqd/wGBga48MILufnmm2loGBs2DwQCY3ojOUEoFOJ3v/sdAIlEglWrVrFp0yauuuoq3n33XS699FJWr1495jVr165l7dq1AKxYsaKokygSqv7OoQC9lnKg13Uirrr9BZJpuHrVYpYflWve2tICV3Um+cHjb7ErUc0JRSICel3lQvT6GobBIztf44S5Uzlp8RFUhytsve7cxfv449ZOGqc32daDlTMOdd6+2TXAnoEEl50wl8Nntzp+/Ulz3+XV/cM0N4/t/+jXuiqt6k0kElx44YVccsklXHDBBQDMnDmTzs5OADo7O2lqMruht7a2smvXruxrd+/eTWtra8Gfj8ZPfvITLr30Up555hkaGxv5/e9/z0033ST742loaByk2LE/xl2vdPDxf2th1VET23l85YwjqAoFufYh3cPtYMKrnf3s6h3m1PnTbTt9AKsXz2JgJMWfy7B5r4Zz/P2t/QAsb2109fpTj5jG9u5BdveWh85PmeNnGAaXX345ixYt4qqrrsr+fPXq1dnK3I0bN3Leeedlf37bbbdhGEbWgWtubmbVqlU89NBD9PT00NPTw0MPPcSqVauy79fT08Nf/vIXLr30UmKxGMFgkEAgwNBQeSy4hobG5MOPn9pBMBDgI8taiIQmOgCH1UX47ElzeeiNfby+p98HCzVk4NFtZjrupHnOdF1tR84gFAzw8JvdMszSUIxn3umlsSrESoeFHRZOnjeNtAGPbisPPihz/J566iluv/12/vrXv7Js2TKWLVvG/8/ee8e3Vd/7/6+jZVt7W/Lee8WJM8gCkhAIgULZtEBvWnI7aL8dt0DhB2XdW25vKXSkhbSUAqVAW0aYSSB7Tzux49jxHvK2ZFmyZM3z+0M+JqR2vM5Scp6PB49HcGTpI0XnnPd5f96v1+uTTz7Bww8/jM8++wzZ2dn4/PPP8fDDDwMA1q1bh4yMDGRlZeH+++8ft2jR6/V47LHHUFFRgYqKCjz++OPQ6/Xjr/PUU0/h0UcfhUgkwtq1a7Fv3z4UFxfjnnvuYeutCggIXEK4fUG8fKQdq7KMWJ5hmPRxP1yRgRAJbDrQwuLqBJhkZ+MgUrRxmJ80swu+KlaCsgQ1TtqE+LZLgUNtdhRb1YhXx8zq9xen6kAAONLOD1sX1oYPli1bNq62vZAdO3b8288IgsCmTZsmfPyGDRuwYcOGCf/u+eefH/9zbGwstm/fPovVCggICER4r7obztEgbiu1QnmRea00vRxLUnX45GwfwuEwRCLBHz+aCYbC2NM0iDU5RpgmiGibiquzjfj1nmb0DvtmXTAIcM+QN4DaXje+vSR1wm7/dNDGSZFnVuJ09zDNq5sdwplJQEBA4CK8XdWFeFUMVudMHdP0jYpktDq82F7Pjy0dgdlzotMJly+IhclaiEQzFx2uzDQgGCbxKc/iugRmxpExj84S6/TSOiZjWYYe1d0ueHxBOpY1J4TCT0BAQGASHB4/tp/rx5psI1K08ikff1upFVIxgb+d7GRhdQJMsnPMsPdiKu2LsSxdDxEBHGi107ksAZY51OYAAcx6vo9iaZoeLl8QB3nwfRAKPwEBAYFJeK+6B4EQiTU5pml1fXRyGa7MNGBfi33S0RaB6GBfsx0ZBjmKLLPr9KhjpSixqnGyU5jzi2aOtDuQYZAj06iY0/NQheNBHqT8CIWfgICAwCS8V9ODBHUMrsqaXNRxITcUWNDu8AoxblFMOEziUKsdpVY1DLOY76O4MsuAMz1uODx+GlcnwBYkSeJEhxMF8Spo46Rzeq5csxJyqRhne900rW72CIWfgICAwAT4giHsbBjA0nQ9EjVx0/69dfkRL9J3T3cztTQBhqnrc2NoNIjSBPWsQwUAYFGKDr5QGPtauN/eE5g5nUOj6B/xIz9eOafvAQCIRQRKE9SoFQo/AYHops/lw7unu/HPU11wegNcL0eARvY12+EJhLA0TT+j4f5MowJZBjn2Cxf7qIWawyqxqqd45MVZlBKZDzwkfBeikhOdEfuVPBM90XuLUrWo73djiOMOcPRnyQgIcABJkvj9/lY8+mkdXGMqLXWsBM+uy8d3lqZxuzgBWvi0rg9SMYHl6fqpH3wB6wvjselAKwbcPhiVgpVHtHGw1QFtnAQLkmeX1ECRpo+DQS5FjWDqHZWctDkhIoD5c/weUCxI0sIXbMGhtiGU0vOUs0Lo+AkIzIJf72nGD96vQZFFhZdvL8Vrd5Uh16TAd9+txnO7G7lengANfHq2D+WJGuSaZ363vzrbhECIxCd1fQysTIBpDrbaUWJVI14VO6fnIQgCi1J1qOlxIRwWxD7RxolOJ9L1ciRrpz/qcTEWjAk8jnA8/ysUfgICM+Sj2l7814e1WJ1txN++Ng8bFqXgngXJ2P/AMlyVacB/fXgWn54VvLuiGZvTi7N9bixJ1UFxEdPmyaCsPPY3C1t80caQN4D6/hEUW9SQSeZ+iVySqkOrw4uWwREaVifAJic7ncgzK+cs7KDINiqglIlR28ttB1go/AQEZsCIL4jvvnMaWUY5frk+HxmGLyT+MokIH31rIRI1sfj2O9Xw+rk36hSYHXvGQtkXzNK7SxMXsfI4IVh5RB2U/Up+PE1zXWNzfrvHvlMC0UH38Ch6XD7km+cu7KAQiQgc+P5S/HJ9AS3PN+t1cPrqAgJRxjOfN6BjaBQPX5WFeRPkd8plErx8eynaHV48/PFZDlYoQAe7mwahlImxeJbmvUAksqumZxgDbh+NKxNgGqrwm5c4N2EHBTUfdooncV0C06NqLGc5hyZhB0VJggZphqnN4JlEKPwEBKZJn8uHF/Y247o8M24pTZj0cWvzzLguz4y/HuvE4Ihw0Y9G9jQNYl6iBkna2c94rcwwwB8isa1emPOLJk7anLCoYmi74OvlMiRrYlHXx72Nh8D0Od0d2Y4tSZhbVBsfEQo/AYFp8rv9LfAFw/jmwuQpZz6eujYXw74gnv6sgaXVCdBF9/AozvWPYH6SZtah7ACwPCOiBt7fIhg5RxMnOoaQb1ZCJ5+9cfOFzE/WoL5/RBB4RBGnuoZhUcUgXT+3xA4+IhR+AgLTwO0LYtOBVlyZZcDqHNOUj1+QrMWqLCNeO94JjzDrF1VQ833lSXPzW9DJZcg2KnBGsPKIGoZHAzg3MIJcsxLiGXg3TsX8JC3aHV60Ozy0PacAs5zuGka2UQGdnB5hB58QCj8BgWnw95M2OLwB3FOeBM00FV4/vSoTDm8Amw+3M7w6ATo52OpArEQ0p/k+iivSIlYevkCIhpUJME2VLTKHlz8LC5+LMS8xchPBh5xWganxBUOo63cj26SAVHzplUmX3jsSEGCAvxxtR6ZBjmtyp+72UazJMSFRE4s3K20MrkyAbo60O1AQr0SiZm4ebgCwJE0HhzeAE7YhGlYmwDQnxwb6589SzT0ZVPe4UlB5RwW1PW6EwiSyjZfeNi8gFH4CAlNypseFI+1DuLHQgoQZFAMiEYGNi1JwtH0IlZ3ChT8a8AVDqLI5UWRRQy6be7AR1TXc1ShYeUQDJzqHYFbKkEdzx8+qjoVZKRMEHlHC6TEFdrZJKPwE5siDH9bi57s6uF6GwAx55Wg7xCIC6/PNM/Zz2rAoBQSAlw61MbM4AVqpsg3DHyJRZKVHyVcYr4JcKkZ1tzDnFw2c7HQi16yEjibD3vMpTdCgcdADkhQEHnzndPcwYsQilCVwmKvGIELhxyItdg8+bXAgJCi7ooZwmMTbVV24Ik2HhbOY+UrSxmFJmg6fNQwIJ/wo4Eh7ZAZr/gQejbNBIhZhfpIG1YKHG+8Z8QVR1+dGvlkJEY3CDooSqwotgx4MeQO0P7cAvZztdSNVFweTkj5lN58QCj8WKbSo0O0OoGd4lOulCEyTox1D6HSOYnW2EcpZRHcBwN3zEtE86MFewbmf9xxui2z1FdPU8QOAhSlaNA6MCBd8nnOqaxhhErRv81IUWdTwhcI42SncBPCd2l4X0g1yqGZ5zuc7QuHHIoUWFcIkcFyY94oa/nmqC1IxgTXTsHCZjFtKrBARwBsnBZEH3znc5kChRQUDjR5u8xI18IdInO4R5rv4DBWvV5pAT2LHhVDjAycFoQ+vGfEF0ebwIl0vpy2qjW8IhR+LFMRHDnxh3ic6IEkS/zrVjcUpOpRYZ38xsKhjcUWaHjuE7V5e0+/2ocXuQZFFRetWH2XlUdUjeLjxmZM2JwxyKWMdv4J4JQgATQMjjDy/AD3U90du0NL0cRyvhDmEwo9Fso0KiAmgeVC4AEQDVbZhtA95cVWWAYo5tvxvKbGi2e7BsXbhbp+vHB37tymy0BvRlGtWIlYiQqNdGPHgMyc7h5BrVsKoiGHk+eUyCdINcjQJ539eU9sbKfyyjczcAPABofBjEZlEhHRdDJoGhTu+aODjs70gAKzIMMz5uW4oiAcA/ONU15yfS4AZjrQ7ICKARTQYN5+PWESgyKpCo0PIbeYrgVAYZ/vcyDYqIJMwd1kstqjQODCCYCjM2GsIzI2zvS6ICea2/PmAUPixTJ4xDs2DHgSEA5/3fFTbi4J41ZyjuwAg06hAtlGBfS12GlYmwARH2oaQaVAgXS+n/bnnJ2nR5PBhWBB48JKG/hEEQiQyDcz6thVb1egY8qLLKXR/+crZPjeStHGwqJjp/PIBofBjmVxDHGzOUeHA5zl9Lh+OdgxhWbqOtrD2rxTF42SnE11OLy3PJ0Af4TCJo+0OFFlUUMfS7+E2L1ENtz+Mqi5B0clHKLudLCP9Rf/5FFvVCJFfJIQI8I/aHhfS9fI5j/fwGaHwY5lsQxxICAc+39la3weSBJbTsM1Lsb4gHsEwiX+e6qbtOQXo4Vy/G0OjQRTSPN9HQQk8KJ9AAX5R0xPZ3puXSG9U24VQ86OCwI+f+INhNA54GOn68wmh8GOZXGMk8qtGOPB5zWfn+qGXS7E0nb55ryWpesRJRTjQKmz38g3KyqMwnpnCr9iqhpgA6oXILl5S3T2MFF0crGpmt/eyTQpIRYQw581TGgdGECJJofAToJd0bSykIgLNwoHPW0iSxI5zA1iQpEWShj5Jv0wiwvJ0A461DyEspLfwiqquYcjEBC3znBMRJxUjQxeL+n7huOcj1T0uZBoUUMcyu70nFYuQY1IKyl6ecrYv0pC5VDN6KVgr/DZs2ACz2YyioqLxn9ntdqxZswbZ2dlYs2YNHI7INghJkvjBD36ArKwslJSU4OTJk+O/8+qrryI7OxvZ2dl49dVXAQA+nw/XXnstioqK8Ic//GH8sRs3bvzS7/IBqZhAllGBJrtw4POVuj43ul0+VCRrIBHTe4isyTGh1eHFqS5hq59PVNqcyDQoYFXHMvYaxfFynOt3wxcMMfYaAjNnxBdEy6AHWUYFK4a9pQkRZa8/KAj8+AZl5TLvEs3opWCt8PvGN76BrVu3fulnzz77LFatWoWGhgasWrUKzz77LADg008/RUNDAxoaGrB582Z85zvfARApFJ988kkcOXIER48exZNPPgmHw4Ft27Zh2bJlOH36NF5//XUAwKlTpxAKhVBeXs7WW5w2xVaVoOzlMTsaBgAAi1LotfUAgFXZRgDAh7W9tD+3wOwgSRKVnU7kmpVQMdjxKTLL0ef241yf0PXjE7W9bpAAMg3sbO8VWdXocfnQ7hBEXnzjbK8bVlUMErXM3QDyAdYKvxUrVkCv13/pZ1u2bMF9990HALjvvvvw/vvvj//83nvvBUEQWLx4MYaGhtDd3Y1t27ZhzZo10Ov10Ol0WLNmDbZu3QqpVAqPx4NAIDCejPDYY4/h6aefZuvtzYiCeBW6BGUvb9nZOIAEdQwWp9Ff+JUmqKGLk46bBQtwT+fQKOzeAHIY3t4pNEfGBg62CTOefIJS9BYwNN95IZTA41iHIPThG7W9Y4pemZjrpTAKp3rl3t5eWK1WAIDFYkFvb6QLYrPZkJycPP64pKQk2Gy2SX9+22234fXXX8fixYvx05/+FB988AHKy8uRkJBw0dffvHkzNm/eDADo6elBVxfz5rr9/f2wxkhAAthd3Yw12fopf0dgYvr7+2l/zlCYxI5z/bgiSQG/cwBdw/Rv/SxNVuBwmx2t7Z2MmsXOFiY+Vz6zozFShCfK/IyeAyyiyHjH8aZu3JBKXxawQITZfm8PN3UjRkzAIvKwcg0wiSJG3scabVhp4d/xfyGXy/kgFCZR1+vC+mwNuruZd17g8nPljVENQRCznq+QSCT4+9//DgAIBAJYu3YttmzZgh//+Mdob2/HvffeixtvvPHffm/jxo3YuHEjAGDBggVTFop0sdyiAj5sRptPytprXqrQ/fkd7xjCsC+EZdlWJCYm0vrcFOtL/PjoXDVa/DG4KsXEyGvMlcvpe9lW7QIB4KridCRYmZ3tSdYOon2EuKw+XzaZzefaMtyGTKMC+ZkpiJMy3+mxWEjIpWfR7ZNEzfcgWtY5F5oHR+ALkchPMrH2frn6XDm93YiPjx+vrLu7u2E2mwEAiYmJ6OjoGH9cZ2cnEhMTJ/35+fzhD3/Avffei8OHD0Oj0eDtt9/Gc889x8K7mT5ZRsWYslcQePCNnWPzfUvTmevErsqOFHvb6i6PO2m+U9U1jGRdHFK0zM94lVrVaBocEVTdPIJS9LJR9AGASEQgx6RAmzDjxyvOjgk72Jr15BJOC78bb7xxXJn76quv4itf+cr4z1977TWQJDlewFmtVqxduxbbt2+Hw+GAw+HA9u3bsXbt2vHnczgc+Oijj3DvvffC4/FAJBKBIAh4vfw6wKRiETKNCjQLyl7esaNhABkGOUoYzGnMNMiRqIkV5vx4wkmbE7km5q08AKA4QY1Whxf9biG3lw8MuH3odfmQyXBix4UUxCvRYhcEfnyCKvzKEi9tRS/AYuF31113YcmSJaivr0dSUhJefvllPPzww/jss8+QnZ2Nzz//HA8//DAAYN26dcjIyEBWVhbuv//+cYsWvV6Pxx57DBUVFaioqMDjjz/+JcHIU089hUcffRQikQhr167Fvn37UFxcjHvuuYettzltCi0qtNo9CAl3/rzBFwxhX8sgKpK10MXRH9tFQRAErskx4XinEx5/kLHXEZgau8ePdocXuSYlK1YehfEqhMIkKgU7H15Q0xPxbctiOKP3QvLjVehx+WAT4ht5Q22vC3q5FGmXuHkzwOKM35tvvjnhz3fs2PFvPyMIAps2bZrw8Rs2bMCGDRsm/Lvnn39+/M+xsbHYvn37LFbKDoXxKrxX3Y1e1ygSaDQJFpg9R9qG4A2EUZGsZbwIuCrLgFeOdWB30yDW5ccz+loCk3NqLDs316Rk5fWKrBFFZ2XnMK7NE/7duYaKTitmKKpvMvLMke9blW0YafpL2yw4WqAUvepLOKOXgv+SokuU/HglwiRQaRNC2/nCvpZBAMCSVPptXC6EygDe3TjI+GsJTE7lWGY2U4kdF5JrUkJMCJFdfKGmZxiaWAlyzewU/hRU4XemR4ju5AMkSeJsnxvpejlEIuY7/1wjFH4cQXlGne4SCj++cKDFgQyDnJWLQOpYLmiVTdjy45JKmxMmhYy1C3+sVIxMo1yI7OIJ1d0uZBrk0MnZtdfJNikgIiAIPHhCj8uH4dEg0vSXx+6bUPhxRM7Ygd8iCDx4QShM4mCrHaVWNfRy5ub7KAiCwIoMA6q6huEXIrw4o9I2jByTgtGZzgspGVP2BoXBfk4hSRI1PcPINCpY99OMkYiRppcL53+eUDvWec24DOb7AKHw44xYqRipOuHA5wtnelxwjgZRlqhmZcgfAFZkGNA/4sexDkHdywXeQAh1fW7kmpWsbu8UWVToHBqFTUju4ZR2hxcuXwiZLAs7KPLNSrQ6BIEfHzjbF1H0FluZc3PgE0LhxyGF8Uo02z3jMXMC3LG/JRKjtSCZPSn/8oyIIv3zcwOsvabAF9R0uxAKk6wJOyiKrCqQAI53Ctv8XDKu6GXZyoUiP16FdocXdo+fk9cX+IKzvW4oZGLGYxv5glD4cUihRY12hxcO4cDnnAMtdhgVMpQnall7zcJ4FTSxElQJc56cUDVmqVJsZVfRWWSJdBVquoV/dy6hMnpLGfTsvBh5ZiX8IVIQePAAStHL9qwnV0xZ+P3kJz/BmTNn2FjLZUd+vBLBMIlTwgWAc/a32FGWoIZZGcPaa4pEBK5I06PS5hSSHDig0uaEQiZm1Kx7IjINcsSIRYKyl2NqelyIV8UgVcdNx49S9p4Wzv+cQxV+UvHl0Qub8l3m5+dj48aNWLRoEV588UU4ncL2BF1Qyt5TNuGOj0s6HF60D3lRlqBmXcq/MtOANocXdWMzJgLsUTmW2GFSsFfsA4BELEKuWYGmAWG+l0uqu4cjil4WhT3nQxV+wpw3tzg8fvS5/Ui/TIQdwDQKv29961s4cOAAXnvtNbS2tqKkpAR33303du3axcb6LmmoA79hQLjoc8mB1sh8HxdRPcvGMoG31Qu5vWwSCpM43eVCrknJuqIT+ELZ6w8Kyl4uCITCqOtzI8uggISjLo9BIYNBLkWrXbB04RIqqi39MrFyAaY54xcKhVBXV4e6ujoYjUaUlpbi17/+Ne68806m13dJo4qVwKqOQYtw4HPK/hY74qQiLEljb76PYkGyBjKxCMcFZS+rNPS74QmEkMOysIOiyKpGr9uPVqHbwwmNAyPwh0hkGLjt8uTHq4TvAMfU9kZ23PLj2Z315ZIps0l+9KMf4cMPP8SqVavwyCOPYOHChQCAhx56CLm5uYwv8FKnUDjwOWd/sx3FVjUSOYjOi5GIUZGsGRcaCLADlZiTa+ZGxVc0FhF2rGMIOSynRgicr+jlVsWZH6/EP091YcQXhCJKo8JCYRJ/OtyGo+1DUMjE+OGKDGRy/LnOhLN9bsSIReOjV5cDU3b8SkpKcOrUKbz00kvjRR/F0aNHGVvY5UKhRYUWuwcjviDXS7kscXoDqO4ZRlmCGjESMSdrWJlpQH2fG11CYDtrVHU5IRUTmJ/MfpcX+KLwqxEUnZxQ0+2CiABKWFZ0X0ieWYkhbxDN9ugU+vS7fVj82334zjvV+OBMD/50uB35v9yFPx5s5Xpp0+ZsrxupujgYFNzMenLBpLcYJ0+eBACUlpaivr7+3/6+vLwcGg37M1GXGgXxKowGw6jtdaEihfmMWIEvc7jNgTDJnaUDACxN1yNEAp+dG8B9FcmcreNyotLmRIZejgR1LCevn6KLg1ImRrOg7OWEmp5hJGnjkMBBl/988se6vVU2F4qt0XU99QfDuOXV46jucuF/rsvD1+cnYsQfwjfeqsID71bDqorBTcVWrpc5JWd6XcgzKSGXRWfHdTZM+k5/8pOfTPpLBEFg586djCzociM/PnLgn7Q5hcKPA/a32CEmgCWp3H321GsfbnMIhR8LkCSJStswrkjTQcnR9hpBEMiLV0ZtZm8wFMa/Tnej1+VDhkGO9QXxrCXe0EFNTySjV8uRopcizxzpOJ7rjz6B3+Nb67Gv2Y5nrs3Fj6/MGN8x+fzbS7Dg+X245++VqHtYy8kIzXQZ8QXR7vBiXZ6Z66WwyqRnvV27diEcDuPQoUNYunQpm2u6rKDmCgQ7D2440GpHjknJ6UyKTi5DvlmJU4KRMyt0DY9iYMTPemKgifPbAAAgAElEQVTHhZRY1Xivuge+YIizMYPZcKrLibv+dnJcDQkA8xLVeO8bFUiNAkuM0UAIjQMjWJGhh5hl+6YLSdHFIUYiiro57+bBETy/txk3FMTjO0vTvvT9VcZIsGVDBQr/bze+/24N3v2PCg5XenHqxwrutMtI0QtMMeMnEonwwAMPsLWWyxJK0t8SpXf+0UwgFMbhNgfKEtRQx3J75788Q4/T3cPw+IVZT6YZF3ZwHM9UaFHB4Q2goT96tntbBj1Y+9IRDI748X/r83H0/y3D/6zLQ+OAByv+cBB9Lv7nD9f1uREmwVlG7/mIRQSyjQq0OqJrvveRT+pAEMB3rkiFfoK0i1yzEt9Zkor3a3pwoGWQgxVOD+rmJYsH3wU2mVLcsWrVKrzzzjtCniyD5McrBUsXDqi0OeENhDmd76NYlq7HiD+Efc38PUleKlTanCAAzEvidqaKEnic6IwOKx9/MIwb/3IU3kAIm75ajJ9cmYmKFB1+tiobH36zAr3DPlz/56O8v1ZQgppMjq1cKAotEWeHQCg6PB3r+9x4u6oLd89LxNXZxkkf9/R1eVDIxHhqewOLq5sZtb0uiAmgmAfXADaZsvB76aWXcNtttyEmJgZqtRoqlQpq9eX1ITFNoUWNFrsH/mCI66VcVhxoiRg3c6XsPJ9l6QYAwK5GofBjmiqbE8naOM6iuigKxwq/Mz3RMebxm33NqOlx4Ym1ObipyPKlmb6VmUY895UCHO904rf7mjlc5dTUdLsgEREosvLjOpZnVqJreBS9w/zvlgLApgOtkIgI3FGWcNERBW2cFN9alIIdDf0428tP9frZPjeStHGsRnXygSkLP5fLhXA4DL/fj+HhYbhcLgwPC7NIdFIYr4LLF4yqLZ9Lgf0tdiSqY1HMgwtAmj4OZqVMmPNjgUqbEzkmBWdRXRQJ6lioYyRRoey1Ob14cvs5rMjQ4+vzkyZMu/jOkjTMT9Lgie3nYB/xc7DK6VHTM4w0fRziVfy42OeZlQiTwKlufhZH5+MaDeKvxzqwJseI5Rn6KR//wxUZIAH8Ygc/u35ne91I18uhjlIPxdkyreQOh8OBo0ePYu/eveP/CdDH+creaITvWzsTQZIk9rfYUZqohlHx7zMqbEMQBJal63GqaxjhcPR9ntGCw+NHi92LPLOS9VzmCyEIAgUWFZqjYLD/ud3NGA2E8OOVGTBN0h0RiQhsvq0EQ94gfr793y3A+EJE0auAhuO5XgoqurOmm/83fW+c7ITLF8QdpQnTsj9J1ctxQ0E8PjjTCw/PvGr9wTAaB0aQrpdzfi5gmykLvz//+c9YsWIF1q5di5///OdYu3YtnnjiCRaWdvlAKXujycw1GArj+T1NKPrlbsQ+9DGK/283frWrEaEoKVqaBj3oc/tRlqDmXNlHsSLDgG6XD9VRcAGIVqrGOqp5PEnLKLGq0DzowWiAXxfF87F7/Nh8uA3X5JqxKtt00ceWJ2mxJseI1493wunlX9dveDSANocXmQY5b477HJMCBBAVAo83TtqQoZdjTe7Fvwfnc//iVDhHg3j1eAeDK5s5jQMjCIZJpEeBEp1upiz8fvOb3+DYsWNITU3Frl27UFlZCa2W+5moSwmrOgbKGDFaouDOH4icPFdsOogff1ALmYTArSUJEIsI/PSjs1j8m30YcPu4XuKU7G+OzPfxQdhBsTQ9snXy2bl+jldy6XKyM9JVL+Y4sYGi0KKCczSI+j7+bvf+8WArRvwh3Ds/aVq+h09ckwvnaBC/2NnEwupmRu2YipMPil4KuUyCZG0s7y1d2h0e7G+xY22eCdYZGJ9fk2uCQS7FP093M7i6mXO2L9JoSb/MrFyAaRR+sbGxiI2N/CP7fD7k5eVNmOQhMHsIgkCuSRkVli6jgRBu/MsxHOsYwtPX5uKTby3CG18vR9VPVuL3NxfhdPcwVr14iPe2JPtb7FDHSLCAB8IOitIENeKkIhzvjM4t/2jgZKcT8UoZsjn28KMoskRuPI7zVNkbCpN46VAbFqVocU3e9Lo8V6TrsSBJg7crbQiH+aVUPcMzRS9FfnwkupPPYzNvVXYBANbmmmZk1i0Vi/D1+UnY12xHh4M/1zjKyoUPM95sM2Xhl5SUhKGhIdx0001Ys2YNvvKVryA1NZWNtV1WFFsjyl6+z3c9+mkd9jQN4olrcvDjlRmwnHfn971l6fjrnWWo7nbhztdPcrjKqTnQakdpgnpGd65MIxWLUJGsRVUUzXr6giGc7XWhvs/N64sWRaXNiVyzEoYJvMe4gFL2nm+GzCd2NgygY2gUNxVZJvRrm4zvLU1Hq8OL92p6GFzdzKnpGUaMRMQbRS9FfrwSbQ4vhr38vWF+q8qGIotq3IFgJtwzPwnBMIm/HOPPdm9trxtWVQwSNPy5BrDFlIXfe++9B61WiyeeeAJPP/00vvnNb+L9999nY22XFQXxSgx6Amgf4u+cx6FWO57f24xbS6z43rL0CYd77ypPwkNXZ+HD2l68zrOZDop+tw91fe6xDhu/EhNWZhrQMDCCbp5bO3gDITz92TkYH9uGgl/uRt7/7kLiU5/htWMdvC0AR3xB1PW7kWtSQiaZlq6NccxKGXRxUt5Gt/3laDs0sRKsL4if0e/dXmaFKkaMl4/w6xxQ0x2JajPwQNB1PvnmLzLb+Ui7w4NK2zCuzjLO6rMrT9IgSROLHecGGFjd7Djb60K6nvvYPi6Y1tlv//79eOWVV7By5UosWbIENpuN6XVddlACj+Md/NzyCYdJfOedasQrY/CjlekXPVieXJuLPLMSP9pyBkMe/g14H2x1AADKeDTfR7E0TY8wCWyv5++cn8Pjx+oXD+HxrfWoSNbiqbW5eHRVFgxyGe57qwp3/+0kLzvXp7qGQZL8EXYAY8reeCUvLV2GvAG8V9ODa/PMyJ3hZyaXSXB3eRJ2NPSjl0dpHl8oevll30E5O1TxVNj14ZleAMCKaVi4TARBELi1xIrD7Q708OCmNhwmUd/vRppeDukE1kSXOlO+4yeffBL/+7//i1/84hcAgEAggK9//euML+xygzrw+erj9s9TXTjVNYwHlqZhSerFD36ZRIRX7yrDoCeABz8+y9IKp8+BFjukYgILkrlNbpiIJWk6iAjgYKud66VMiDcQwpqXDuNo+xCevT4P//rGAjx2TQ6eWZePqp+sxPeWpuGtqi58461K3nX+KLsk6iaLL5QmaNA06IEvwC8D9y01PfAFw7gu1zSri+N9C5LgD5F4+Ug7A6ubOQNuH3pcPmQa5DOaUWMD6makkaderh+c6UWKLm5cgDYbbimxIhAi8fqJThpXNjvaHF54A+HLUtgBTHOr94MPPoBCEVFBJSQkwOXiZzs6mknVyRErEfFS2RsMhfHzbfXINMhxV3nitE6aC1N0uLnYgtePd6LVzq+T2f4WO/LNKqTq+aPso1DHSpEfrxq3HeEbD7xbjROdTjx7fT5+sDzjS3NfYhGB391chO9ekYrXT9jwhwOt3C10AiptTujipCiI50/HD4jM+Y34Q+OKU77wz1NdsKhicFXW5LFcF2Nxqg7Jmlh8XNtH88pmx5leStjBv+PepIyBLk7Ky/O/yxfCrqYBrMzQz8n0ekmaHkaFjBeuBdSWejrPRD5sMWXhJ5PJQBDE+MV+ZIT7i/jWrVuRm5uLrKwsPPvsswCAr33taygpKcEjjzwy/rhnnnkmauYRxSICWUYFL5W979f0oL5/BBsXpyJjBifN/1tfgECYxMMf1zG4upnhDYRwvHMIZQlq3m33UKxI16Om28U7w9N/VHXhL0c7sGFhMr61KGXC+UiCIPDbm4tRkazFQx+fReMAf4qZk51O5JoUMPEksYGi0BIpRI93ODheyRc4vQFsP9ePVdlGJGln1xUhCAJ3lyfiSLsDLTzYyq4ZS8bIMfOv8AMiXb9WHqleKQ60uxAIkViWrp9Tp1QsInBdnhlH24fg9XPb3abEVHzr/rPFlIXf7bffjv/8z//E0NAQ/vSnP2H16tW4//772VjbhIRCIXzve9/Dp59+itraWrz55ps4ffo04uLicPr0aRw7dgxOpxPd3d04cuQIbrrpJs7WOlOKLPyU9P92fwsS1bH4arF1Rr+XaVTgrrIEvF/TA5uTH6KV4x1DCIRIlCWqebfdQ7E8wwBPIIQ9zfzJ7XV6A/jhlhrkmZV46OpMaC4y4ykWEfjHvfNBksC33j7N4ionxxcMoabHhTyzkneCnsKxiw+fOn4fnOlBIERidbZxTqkGd5cnIUQCfznKvcjjTK8LqhgJ8nhi5XMhBRYlWu1e+IP8ssDZ3z6MWIkIyzNmrua9kHX5ZjhHg/i0rpeGlc2es30u6OXSy9K8GZhmx2/16tW45ZZbUF9fj6eeegrf//732VjbhBw9ehRZWVnIyMiATCbDnXfeiY8//hherxfhcBiBQABisRiPP/44nnzySc7WORsKLSp0u3zo4dEwdGWnE/ua7bitzIpM48wPkkdWZ8MXDOPJbecYWN3M2d8SmZ2bl8i/+T6Kpek6AMDORv4o4H6+rR49wz48sioLOaap75LT9HL8bFUW9jQP4v1q7o1ba7pdCIZJXgk7KIzKGJgUMl4pe7ec6YVJIcOVWXO72BdbVUjRxmF3E/c3MTU9LmTwUNFLURCvgsMb4J3QZ3+7C/MSNbQUSWtyTCDAvXitdiyj93JU9ALAlHtdfX19+O1vf4vy8nJs2LABq1evZmNdk2Kz2ZCcnDz+/0lJSThy5AhMJhPKy8txzz33oLGxEeFwGOXl5Rd9rs2bN2Pz5s0AgJ6eHnR1dTG6dgDo75/8C2+RBQAAO0414+pMHeNrmQ6/+rwNsRICqxLE6O6e+QVcA2BVuhpvVXbipwv1UMjo67Zc7LOcjB113UjRyGDECLq6+Kc4BiIHZbxCguMt/ax8Jy/kws+1w+nDHw604rosDZYYMe013ZUjx+/3SfDTLdWo0Ic57bDuPBN5TwnSUU4+U+Di39csnQzneoc4W9v5+ENhbD3biytTVZB4h9DVNTdfyTXpSrx+egDVja2M+ide7PMlSRKnbU4sT1HCOdgHPjplmsSR89GemlaoQ3PvrtFBj9uPBvsorkxVwt5PT5euOF6OfY19sNlsnJwTSJLEmW4nrkxT0faeZsNsrl90MWXh98wzz+Dpp5/G9u3b8corr+CBBx7A7bffjm9+85vIzMxkY43T4oUXXhj/8w033ICXXnoJ//3f/41Tp05hzZo1E25Pb9y4ERs3bgQALFiwAAkJCaysdbLXWSpWAR80o21UytpaLsaIL4gP6quwJseMNfNyECOZXdH2s2ukWP3SYbzXPIoHr86mdY0z+ZzCYRInuk/hqkwj8jNSeJPVORErs7qxu2kA5ngLJBzYDZz/uT66twoEAXxvZS6y0mbm5/bs+jD+4+1T2NYZwoZFKXQvc9q0HBqAQibG8qIMJHAo6pns+7ogzY4/H2mDzmhG3AT+mGzy+bl+jATCWFWQiKTExDk/392LZHi5sh+7usP4wXJmz2uTfb5dzlE4fSHkJxp5cW6diGUxWuC9RnT6+XH+B4CdYwrclfnJtK3pphIXnvn8HDwyDScJOjanFy5/GHkJ3H8XuHr9aV1RCIKAxWKBxWKBRCKBw+HArbfeigcffJDp9f0biYmJ6Oj4Yl6ks7MTieednLZs2YL58+fD7XajqakJ//jHP/Cvf/0LHg9/tlEmI8uogERE8GbL553qbrj9IdxYGD/rog8ArsoyIl0vx98rue1m1Pa6MOQNojRBzeuiDwCWZ+jR5/ajkuMUj4Z+N1473oFbSxJwdfbM1Z1fm5+EJE0snt/bzOns6vEOJ3JNSpiV/BJ2UBRZVPAGwqjp4d4x4aPaXsSIRbgyk56u0/IMPVQxEuxo4G50oXrMH49vUW3nk6qLQwzPnB12NAxAJRNhJU3fBSAS+RYmgfequUl1oUQ+WbMYXbpUmLLw+81vfoP58+fjwQcfxNKlS1FdXY0//vGPOHHiBN555x021vglKioq0NDQgJaWFvj9frz11lu48cYbAUQ8Bl944QU8+OCD8Hq9423kUCgEv5+f23rnIxWLkKGX8+bAf+VoB5I0sbgmZ3oZnZMhEhH47hWpONU1jJ0N3LW3D4x54/HRuPlClqZF/LI+59jp/v92N0EiInDfgiTEzkIUIRWL8MiqbNT0uPAvjkLaRwMhVHU5UWRRTZg2wweo6LbjHdxvQn5U24sFyZoZmzZPhlQswvX5ZuxrtnOW4U35o/I5l1UkIpBtVPDm/E+SJHac68c8i5zWaMuFKVqoYyXj52O2qR4r/Kic7MuRKQs/u92Od999F9u2bcNtt90GqTQyDCkSifDRRx8xvsALkUgk+P3vf4+1a9ciPz8ft99+OwoLCwEAmzZtwn333Qe5XI6SkhJ4PB4UFxdj/vz50Gq1rK91NhRYVGjmgbK3w+HF7qZBrC+IR7Ju7iaX36hIhkxM4MVDbTSsbnbsb7HDIJeiPIm/wg6KkgQ1lDFiHOMwyaV7eBSvHuvE+oJ4LJ/DHf9/LEyGNk6CPx5spW9xM6DS5kQgRKLYyl/rBqrw4zqyq9XuQdOgB0vSdLQWyV8pssDhDXDm6Vdpc8KqikGmkZ9WLhSFFhXa7F5eJN80DoygwzmKeRY5rTskErEIa3JMONzmQCDIvq1LTc8wjArZZevhB0xjxu9iytj8/HxaFzNd1q1bh3Xr1v3bz3/4wx+O/5kgCLz55ptsLosWiiwqfHimBwMjfpg43Jb6x6nItuw1OSZaBnCNyhjcUmLFB2d6MeD2wcjyeyNJEnuaBlGWqIGFxrtXphCLCKxIN+BEpxMkSXIyBL3pQCuC4TDumZ80JwuUWKkY31qUiuf3NKG2x4UCC7sF2JH2SPFcwuNOrzZOCosqBs0cd3uo7diKZHpvlK/NM0MiIvDJ2V7cVsb+XFNV1zByTEro5fxWceablfhHVRd63T5au2yzgfoulFvpL5CuyzPjndPd2NNkx+rcue0ozZTqnkhes+4yVfQC05zxE2CP/HglQmTEbJZL3q7qQp5ZiWWzzGaciAeWpmPEH8LvOUh0aBr0oGNoFBXJ2qjJZlydY0T7kBenOUjx8AfD+PPhdixL189qtu9CvnNFKsIk8MLeZhpWNzMOtzkQr4oZ76rxlUKLCs0cz/fubBiAQS7FsjlEc02ENk6KpWl67G22s76bMeILor7fjRyTgvfHfn68CiQiNlpcs6NhAPGqGJRZ6BdgrB0r9j4+y66qNhQmUdvjQpZRMavRlUsFfh8FlyGUkziXmb3NgyM41jGENTlGWruOS9J0yDMr8c9T7Is8do53Mvi/zUtBFVwfsXxyBIAtZ3rQ6/bhlmIr1LFzvzPOMChwTa4J71Z3sz7ndaTNgSKLCiYFP4UdFCVWNVoGPXBzlNhCkiR2Ng6gIlkLi4r+btPNxRY02z042s7u+EJ1jwskCdpmFpmEymw/3c1tZGM4TGJX4wAWJmsZ8T1M0sYh26jAUZZHWZoGRzAaDPNa5MMGQuHHM3LNShAApyae74wN4a/JprcFTxAENi5OQW2vG/tYTqXY2TgAs1KGBUnRMesJAMUWNXRxUhxpY3/O78WDbbCqYnBTsYW25/z+snQMegLYzOKcZ5/Lh1aHF0UWFWQSfp/uiiwq+EJhVM3RN2+21Pa60ePyYUGydk5pHZNxfUHECugdlkU+VWPK+DyeRrWdT7ZRAREBzju/Z3pdGPQEMD9Jw9iYyZocIyptTji9AUaefyK+UPTy/7vAJPw+E16GxEnFSNXFcWrp8mFtL3KMCixJo99E+uvzkyAWEaxe/EmSxM6GASxI1sKq4f98H4VIRGBlpgHHOoYQDrMX49RkH8XOxgHcXGxBio6+O+Nr88xI1sTibydttD3nVBxpj+TfFvN8mxf4QuDB1ZgH1RVfTuN4x/lkGRVI18fhIMtqzkqbE+oYyXg0Hp+JlYqRoo1DK8ezngfGE46Ym4tdnWOCNxDGtnr2BD/V3cMgAN6PfTCNUPjxkLJENRoGRjhRdg2O+HGgxY7lGXpGBBgmZQyuyzPjk7o+jAbYUXTV9LjQP+JHRVL0zPdRrMkxocflwwkWi4E3Tg9ALCJwWym9Q/hiEYHvLk3DiU4nDrWwc/E/3OaAmADKeBzRR0GNedT3cZPZu6OhH4maWCxMYS416Pr8eBzvdMLhYc9eKyLsUMDA861+igKLCi0Ojgu/1ogDwgKaRT7nc2WmAQTAqr9jTY8LSdpYJGrm7lQRzUTXVfAyoSxBg3aHF7ZhL+uvvbWuD2EStARyT8b9i1Jg9wTw2nF2gtupTsaCKJrvo7h6LCv1w1p25vxGAyG8fWYAV2UaGOn4/sfCFIgJsGbrc6R9CFlGBdKiIIxdFStBoiaWk25/MBTG7qZBVCRrGc0vXZdvhi8Yxnss5TcHQ2GcHlP0qmL56eF4IQXxKrQ7vBhmcQv0QvY321GWqGHU8Fwnl6EkQY3jLM75VXcPI9Og4L26m2mEwo+HlCVqQAI4zMFs14e1vTDIpVidM3cl52Rcl2+GQS7FWywleexsHECSJhbzosC/70JyzUqYlTLWBuLfOd2NodEQvlpsmVNay2TEq2KwNteMj8/2wsdwxzcUJnG0fQjFVnXUnOiLrRFlL9vK10rbMJyjQcbFT1dmGREjEbFmTH6uPzLMnxsF830U+WYl/CGSM4GHzelFq8OLUqua8bjIa3JMON3tQq9rlNHXASI3tQ0DI8g0yKNu54duLu93z1OoZAm2Jf2BUBhb6/qwNF2PBAY9pKRiEe5dkIS9LXa0M7ylEQyFsbtxkDGlItMQBIGrs4w43jGEYIj5Ob8XD7UhUSXFzUVWxl7j/sUpGPQE8PpYDihT1PW54fIFUWRRceKDOBuKLWq0OjysboUCkW1eIBKvyCRxUjFWZOhxoM3BSnFLCWVyOciEnS15Y+rjKo6cHQ60ROZiyxic76NYnWNEMEziYxZ2NOr63AiTgrADEAo/XpKii4M6VoJz/ezO+uxrtsM5GsSKdD3jF8pvLkpFKExiE8OefpW2YQz7gliQrOF9Pu9krM4xYdATwH6G5+Jquoexv8WO9dkaWBgUwVxfEA+9XIq/VzIr8jjSFrmAFUXRIHeRVYVAiGR1phOIzFllGeUoYSHSbH1BPNodXla2+Kpsw5CJCV6bd18IZenS0M+Ns8OBVjtiJSJcwcCox4UsS9dDKiawu4n5md9oyGtmC6Hw4yEEQaDEqsY5lg/8D2t7IBMTuDYvnvHXKrSoUJqgxnvVPYze+e9sjGwpLWJwYJ1pVo35+X14htm74pcOtUEqJnB9NrOWN1KxCPfOT8K+ZmY7vgdbHVDHSDA/imY7yxIia2XT684XDGF/ix0VSVooYpifg1uXT9m69DD+WpU2JzINCs5TMGaCTi6DSSFDK0cCj/3NdhRZVEjSMi+AkMskWJisZSWasqbHBWmU3QQwhVD48ZTyJA0aB0dYM7slSRIfnunFgmQtcliah9m4OAUNAyPY3cScp9+2+j5kGeUojeKDPU0vR7ZRwagNxogviNdPdGJ1thElLGTafnNRCoIMd3z3NA+gLFEdVRf9/HglZGIR6lns9h9qdWA0GEZFCjsel1lGBdJ0cTjAsK0LSZLjil5NlAg7KPLMSk4sXVyjQVR1OVGWqGZkxnci1uaZUd/nRhvD77e624U0nRzxUTjyQzdC4cdTyhLU8AbCrG351PW50TTowYp0PWuDr3fNS4RMTODFg62MPL/TG8C+ZjuWpekZcZ9nk/UF8Thhc6KPoSHot6u64BwN4pZiKyv//kVWNaMd3y7nKBoHPChP0rB2AaMDqViEgngl6lns9u9oGICYYH6+73yuL4jHsY4hRpWrnUOjGBjxR0zxo2TGk6LQokKL3ct+yk27A2ESKLWy1yVflWUECWBLDbMd4NPdw8gyyqPuJoAJhMKPp1BbPtScEtNQ24irctgLzNbJZbi+IB7b6vsxGqD/BPd5Qz+CYRJLWZhZZJrr880IhEjGUg9ePNSGDIMc1+WbGXn+ibh/UaTju6uR/o7vnrEu8vwo8O+7kPIkDer73PAH2fG53Nk4gPx4FauRZtdTti4MXuyp7cOCKDBuvpBCiwouXxC1vS5WX/dAix0iArginb3RmIoULeRSMfYxOMPc5/LB5hyNypsAJhAKP55SYFFCIiJQ28vOls9Htb3IMSlYn4X7z8WpcI4G8cpR+hWen5ztgypGghWZzCQRsMmyDD0UMjEjZqcnO4dwrGMIXy22IIFFY9O7yyMd35cOtdL+3HuaB6GQibEkLfr+7csTNXCOBlHdzfxF3zUaxNH2IVQkaxHHYmg9ZeuyrY651Iaj7UOQiAhGTYiZghLZHO9gV+RzoNWOLIOCVeWrVCzCsnQ9o7m9lVRsXxSpu5lEKPx4SoxEjByTghVl7+CIHwda7ViRoWfd5HR1jgkWVQz+dpLewi8cJvHJ2T4sTtUiTRf98v0YiRirso3Y12JHIEivrctLh9oQIxHhK4XMWbhMhE4uww0F8dha1w+Pj96O7+7GAcxL1CAxiiL6KOaNdSkPsdDt39s8iGCYxEKW5vso4qRiLEuP2LowxZF2B3JMCiRro+87UDw2Z8tmxy8YCuNQqwOliWqoY9n1vVybZ0K7w4vaHmbe78mxwo8Ni5poQCj8eMy8RA3O9Y8w7t/2KZXWkc5cWsdkiEUE7luQhMNtDjQN0DfXdKTdgR6XD8vTDZBJLo2v+W2lCehz+/FJHX3q3uHRAN44acPaXBMnySYbl6Ri2BfEX2lMcelweFHfP4IFSRrEstjFoouSBDUIfGE/wSQ7GgYgExO4MpP9Y//Gwoityykb/V2tUJjE8Y4hFFpUrBcxdKCTy5CgjkEjjefEqajudsHtD6GUBUufC6GcCz44w8zW/8lOJxI1scgwRH8TgGWabesAACAASURBVA4ujSviJcq8RA36R/yM27p8eCaS1rGKwbSOi/HNRSkIk8Dv9rfQ9pzvVvdAIiLGTyiXAusL4iEREXiXRhuMN07aMOIP4ZZiKydF0qrsSMf3jRP0efptPxcxI16cGp0WPsoYCTIMclbsnHY2DKA0Qc1JpN11eZF50n+eon9uta7PDbc/hMIonO+jKLaq0TjAnrKX8gnlYmu82KKGLk7KmFfpyU4n8sxK6OXRLfKjC6Hw4zFUgsehNuaGXv3BSFrHsnQ9rBzJ3LNNSixM1uK9GnoUniQZEUEsTNFeUp5N2jgprsw0YFfTAEI0dIHDYRK/29eCfLOS0Yi+iyEWEfhGRTIOtzvQOEDPWMO2+j6YlTJWDGiZghJ4hMPMeVz2u3041T2MimQtJ0V/tkmJFF0c9jTTL+452h595t0XUpagQYudvRSXA612xKtiUMaBIEokInBVlgHHOoZoV/kPeQNotnuQZ1JGrYk/3QiFH4+hvOdOdzE357GveRDDviCWZxgg4vCg2LgkBe0OLz6unfuw96muYbTYPbg6ywglC4a0bHJbaQI6hkaxgwYl7Lb6Ppztc+Pu8kRWRR0XMt7x3Tf3jm8wFMZn5/qxKEXH6XuaK/OTtOh2+dBiZ67rR6mpF3Iofrg+34xjHUMYoXnG81CbA6ooM+++kGKrCsGxLWumIUkS+1vsKLWqYeTI+mptrhl9bj/t5uWUsCOa8pqZRij8eIxRGYNkbSyjA74f1vZCJiawmuMt0dtLExErEeHlo+1zfq63KrvGfMnYn1timltKrJCICLxGw0zc83ubYVLIcGMh80ktFyPLqMDiFHo6vsc6hjDkDWJJqi6q7+7njQ2h729hTvyws3EACpkYyzK4Uz6vL4iHLxjG+9X0znbtb7ajNCG6zLsvhNqtYEPZ2+7wwuYcRVmimrPjhqk5P8oSbV4UWjsxhVD48ZzFqTqc6XExIvCg0joqkrWsenhNhCpWgjvKErC1rg/dw95ZP08oTOL1Ex24Ik2PiuTo3eqbDINChuvyzNha1wdfYPY+b9Xdw/js3ADuKEvghc/ZxiWp6BgaxUdzDGv/4EwvxASwnMNihg4oH88qBoQPFDsa+lGepGElmmsyrsw0QCYm8DGNgqUBtw9n+9woS2AvfYIJck0RSy82nB2o2TouhB0UGQY5EjWxtKvZj7QPIVkby/k1jk8IhR/PWZyqQ7fLh7o++g/+uj43mu0eLM8w8EL9+OOVmRgNhvG/O5tm/Rw7GvrRNezD9QVm1q1p2GLDwmQMegJ4o3L2gojn9zQjViLCzcUWSFhKarkYt5UmIE4qwp+PzL7jS812zk/WojQhuu/uzaoYWFQxjEW3tTs8aBzwYGGyltPiSC6TYFm6Hgdb6bvYU89VFuXzvTKJCDkmBRpYUPYeaLVDIRNzKogiiMjO04kOJ62WVUfbHSiyqARhx3lwf8YXuCjU/M2uJvqNe6m0jhU86Y6UJKixPF2Ptypts+5mvXqsE6oYybhi8FJkXX48tHFS/O347LwPe10+vHHShhsK4nmjfFXGSHBrSQI+O9cP+8jshtnP9LjQMDCCq7OMl0TRPy9Rg/r+EUYi7XY2ROb7KnhgbnxjoQVtNNq67G+xQyomsCiV+/c2V0oT1Ggc9CDEoMgHiCR2FFtUSODY93JNjgnDviBt+e2dQ150DftQaFFF9egH3QiFH88pT9JATBA4ZaPf0+vD2l7kmhRYyHJax8V48Oos9Lr9+M0sBv37XD7863QXrs0zIZ8H25dMIZOIsHFxCvY0D6JmFl5vv97ThEAojDvnJUAu40+B9O0lqfAGwnh+b/Osfv+d090gAFzNYuYskyxI1qDV7kHH0OxHHyZjR2M/9HIplvCg8KdiAv9xqouW59vfYkdBvAqpl4Bxe2mCBr0uH1rtzNm6DHkDqO5xoSyRe9/Lq8fm/OY68kFxZFzdHd3dX7oRCj+eI5dJUGBRooZmR/PBET8OttqxIsMAA0cqrom4Pt+MgnglNh1oRWCGWaV/PNgKf4jEHaUJkPJg+5JJHliaDgLAL3fNbFu8e3gUv9vfgmvzTFjNYi7zdFiSpkNZghqvHe+csV0NSZJ4u6oLpQlqVLCcQsEUi1N1CJOgrftBQZIkdjYMYEGSFlYeJJtkGxVI0cZhb/Pcbatco0Ec6xhCeaLmkuj6UgkehxlMODnc5gBJfuEiwSVWdSxyTIrxnOW5cqRtCFJxdMb2McmlfXW8RLgiTY+aHhetlgefnO2NpHXwZJuXgiAIPH1tHtqHvPjdgdZp/54vGMIfDrZiaZoOq3hW0DBBsi4ONxZa8H5ND/rdvmn/3n9/3gB/iMTGxam8SzQgCAIPXpWF9iEvXp3hNvahVgfO9rmxviCyDX4pQOVmH6PZ3uJMjwtdwz4sTNHy4gaJIAisL4jYugzN0bOOqwg6pqAye08zmOKyv8UOMQHWc9on45ocEyptTrhGA3N+rgOtduSZlFEZ28ck3B/1AlOyPF2PEX8Ie2i883+vpgdmpYx3hR8A3FRkQUG8Er/c1QT36PSK3c2H2tHn9uPu8sRL5sI/FT9fmwO3L4iHPjo7rcef6nLixUNtuKkwHmt4WhzfWmqFVR2D3+xrntFs25+PtEMuFXNuTUMnBoUM6Xo57d3+bfWRZBM+bPNSXD9m6/LP03NL8fjsXD9ixCIsTefPe5sLiZpYaGIlaGAwxWV/ix05JiUyDOynt0zE6hwTRoNhfHx2btu9Hv9Y9zdJw7ubXK4RCr8ogCrOdjXSI/AY8QWxta4PV2YakKzlx8F+PiIRgT/eUoJelw8Pflw75eOd3gCe+uwcKpI1uLnIwsIK+UFpgga3lVrx90rblDnH4TCJb/+rGqoYMb67NA0KnhpbS8Ui/H+rc3C624W3pqladnoDeLuqC2tzTZdUUgsAXJGmQ3X3MPwzHHu4GNvq+5BhkGM+j7a/VmUboYwRjwvOZsvn5wYwL1GNDH30z/cBkW5oJLqNmcJvNBDC4TYHypM00PDkhnllpgEiIvJvORcOtToQCJEoF/z7/g1WCr+6ujosWbIEMTEx+NWvfvWlv9u6dStyc3ORlZWFZ599dvznLS0tWLRoEbKysnDHHXfA749sAfh8Ptxxxx3IysrCokWL0NraCgA4cOAASkpKsGDBAjQ0NAAAhoaGcM011yAcpt8Dj01SdHIkaWJR2UVPu39rfR+8gTCuzjLyVum0ItOAm4ssePlIO461X3y+5ZnPGzAw4scPlqXDGsVpDbPh2esLABK4783Ki3bIfrGzAYfbHPjh8gyszOS3+OFbi1KQoI7Bf3/eOK2u36YDrfAEQrilxBrVvm0TsThVh0FPAKdoOvY9/iD2NtuxJFUHE49me2MkYtxYYMGepkF4/LMbaelx+3Gm14WFKTre3tjMhvlJGpwbGJnzNvhEHG0fgi8Y5lVxpI2TYlGKDvua7XNStO9ttkNERGaHBb4MK4WfXq/Hb3/7W/zXf/3Xl34eCoXwve99D59++ilqa2vx5ptvorY20uF56KGH8KMf/QiNjY3Q6XR4+eWXAQAvv/wydDodGhsb8aMf/QgPPfQQAOC5557DJ598ghdeeAEvvvgiAOCZZ57BI488ApEo+hubKzMNqLI5abnzf/d0D7RxEqzI5N827/m8eGsJVDES3P7aiUnnG3ec68dze5pwU5EF6wsvn24fRbpBjmfX5+FAqwNPbj834WM+OduLx7bW49pcEzYuTuFtsU8hk4jw9LV5ONPrwvN7Lq7wHR4N4Fe7m7A8XT+uDr2UoOx2dtLU7d/TNAhfMIwlqTpOIxon4o6yBAz7gni7anbq3j2tkeJ40SUy30exIFkLXzCMQ230R7ftbR4EAfDO+uarxVacGxiZk4H5nuZB5JqUyDYJxs0XwkpFZDabUVFRAan0y63ko0ePIisrCxkZGZDJZLjzzjuxZcuWiOps507ceuutAID77rsP77//PgBgy5YtuO+++wAAt956K3bs2AGSJCGVSuHxeODxeCCVStHU1ISOjg5ceeWVbLxFxlmRYcCgJzBndZcvGMJHZ3uxMsOADAO/t0PMqhi8+fX5aHN4cfWLh+C+oPirG/Dia29UIlUbh59dnXXZzPZdyP9bnoG1uSY8uf0cfrmzYfwumSRJvHnShptfOY5sowJPrs2Nmo7oNyqSMT9Jg6c/P4c+1+Tiled2N8PhDeD+xSmXpEFraYIacqkYJzrp8bjbVh+ZgeOLf+P5XJNrgkImxnuzjG/b2jgEiyqGl3PLc2FBUqQbd4QBZe+epkFkGRXI4VlxdMPYrO5bs7wJOH8L+3K9LlwMTlthNpsNycnJ4/+flJQEm82GwcFBaLVaSCSSL/38wt+RSCTQaDQYHBzEz372M9x77734xS9+gQceeACPPvoonnnmGfbfFENcOZY7+2ld/5yeZ0fDAIZHg7g6yxgV22Jrck3YfFsJTnQMYd6v9+L96m7U97mxaX8Lbn6rHmGSxC/X52MhDy9kbEEQBN7/jwqsyjbioY/rUPrcHjzwbjWW/u4A7n7jJAotSvzxluKo+oxEIgKv3FkGly+Er/712IQGtic6hvA/OxqwNteE6wsuHVHH+UjFIlyRpsPJTictRs7b6iMxbdkm/t30xUrFuKXEip2NA7B7pq9UBwC3L4jdrcO4MtOAxCi5uZkuOSYlFDIxavvoFfkEQmEcbI0URwae3TTlmpXI0Muxb5YWP3ubI51tPhiU85FLZhCirKwMhw8fBgDs3bsXVqsVJEnijjvugFQqxXPPPYf4+C9fHDZv3ozNmzcDAHp6etDVRY+B6MXo759d4aYgSViVUuw9142uebOfx3j9cCvkUhGKNUFW3i8drEuR4qUbMvDYzg7c/Nfj4z/P1Urw+FWJuMKEqHkvTPKX9SnYfFyKv1cP4rVj7dDFSfD9CjNuK9QjUxGY9mc02+8o3RgAPLEyEY/t6sRdrxzEc2vTxrepbcN+3PGvc9DFivHtEjVGhwbQRf9OGK3M9nMtN8vwecMADtc2I1U3+6KmczgS/fjt+Sa47f1gPgF25nwlU47XjofwwvYafHuhddq/99E5B/whEguMIvT0zE0ZzEcKjbGosTloPc8d73LDEwghV01e9DPj6nywJl2Jlyv7cLK+BRZVzIx+9x/HOyATEyjRhHh7beDyPMtY4bdp0yb86f9v784DmrryPYB/k7CHRQFBNlmKCgQIq4qKstQNFaoOOrSuSDuttVVbdV5rp9qnth3tjFbbV2f6rFiXYl3baTu1ojBVq0VQUKsgVuJODSBBFoUkv/cHNc/IIiCRhPw+f5Hce88994R78su5Z/n0UwDAd999B1dX1yb7uLm54erVq5rX165dg5ubGxwcHFBZWQmlUgkTExPN+w8e4+7uDqVSCYVCAQcHB00aRIQVK1YgIyMDr7zyClatWgWZTIZ169Zh5cqVWud/4YUX8MILLwAAIiIims2jLnT0POMkZdh+6jps7HvBpgPD05UqNQ5cOo3hTzkgKuCpLp+lvT1mu7pi2hA/bM27jquVdXjKwQpSOxWC+np1ddb0ygp3NyxPIlTWNUAgEMDOwgQCQfv7cj2pe+FR3nJ1xbW7Ivzj2GVcrVFjXrQPymvqsfJgMaruKvFhkgSJA/roXX+1lnSkXMeHmGPV0RvIKRcgStLxz+Wby5cBAPGSPnrz+T7smd6EPvuvYr+sFv/9TNvzmH2oFLbmQiRG9IWrnj227AxDfG/jf47KYGHnCPtOGpRzvvAiAGCYvydcXVuf3qkr/l9mD7XCP/Ju4V+yeiwd5d2uY3+8UogIjx4Y6O+tV6sTPayr7kOdPep9+eWXkZ+fj/z8/BYvLjIyEsXFxSgpKUF9fT0yMjKQmJgIgUCA2NhY7Nq1CwCwefNmJCUlAQASExOxefNmAMCuXbsQFxen9cX2+eefIyEhAfb29qitrYVQKIRQKERtre6WvHlSxvg7oaZe1eHlbLJ/LUd5bQNinnI0qKDvPjMTEVIH9sHSUf0xNcJDr1Yc0ScCgQA9rczQw9K0Q0Gfvtnwh2B8mCTB2Zt3kLL1JObuPQtLUxE2TpZieqSHwQR9HRXZpwfMTYSa5ac6an/RLTjbmOv14AehUIDUAR44cbUSJ6+1rQm3sq4B+87exLA+NvCy17/pqTpDhIcd7qnUONaJ/fz+82s5vO0tEeiin1MgRXjYoU9PS3xfeKtdx10sq0FxWQ2GeNnrddDXlZ5IqZSWliIiIgJVVVUQCoVYu3Ytzp07B1tbW3z00UcYNWoUVCoVUlNTIZFIAAB//etf8cc//hFvvfUWQkNDMXv2bADA7NmzMW3aNPj6+sLe3h4ZGRma89TW1iI9PR0//PADAOC1115DQkICzMzMsH379idxqToV5+sIkQA4cKEMKWHu7T5+S941WJuJMLKffk/nwdjDXh3mg+cH9cGBC2VQE2GgZ0/0tjHvFoHto5ibiDCwTw/kXm3s59eRa77boMIPRXKM6NcLrnreB+5PUZ5YebAYfz10ETumRzxy/21511DXoEaCr51erESiC/cH4xwpqeiU/qxKlRpHSiowsp+jXk3r8yCBQIBnQ92wOusiSspr4N3GwYjf/t4w0l0m8daFJxL49e7dG9euNb8EU0JCAhISEpq87+Pjg5ycnCbvW1hYYOfOnc2mZWVlhaysLM3r6OhonDlzpoO51j92lqYY5NkT/7lU3u4vgOp7Suw+fRMj+/VCAC9YzQyQpZkJEo1ogu4HJfg747++PY9fblYh0LX9fXwzi8tQXa/S67k77+tta4HJUlfsPn0TpVV30du25eW2iAif/nwF/XuJEe2lvy2Zj8vb3gqOYjOc6aSl2/JvVOHOPSVC3ez0usU8JdQN7x+6iE9+uoxV4wPadMwXp66jn6MYUZ7da3R3Z+qeP4+6sT+GuuFSeS1+vNS+5dt2n76JmnoVxvo7wcyEP3bGDMlov8Y+WDtPd2yqkz2nb8LaTITYvg6P3lkPLIp9CneV6hbnprzv8KUKFNyowoTA3rC36r7TdggEAgz26onTN6ugbmaEe3vdX/4zUo8f+wNAsKstQt1ssfv0zTYtxFAsr8bPVyoxxt8JTu0cEGJMOAIwMH8IdoEAwLa8ti1ndd/GnCtwt7PQ2zVaGWMtC3axhbONOY7K2j+9hVKlxte/lGKotz36OhrGwAepqx3GBzgj/cRVyCqa759NRFjy70L0EpshWaqfg1U601Bve1ytvIvzvz3+tC4Hi8vQp6clpB1oPX7SXhnqjUsVtdh39tE/eradvA4BgFH9+XuuNRz4GZjethYY4m2PzGJ5m5eiy7+uwOFLFfhDsAs8HmM6CMZY1xAIBEjwc8LPl2+j5l5Du47VDOrydTCo1v41SRKoiPDKnua763x3/haOlFRg9sA+CNGjJcd0ZbBX46PLg4+5iss9pQrZv5YhyrMnnKz1s3/fg6aEuMLGXIQNxy63up9KTfg89xoiPOw0ZcWaZzi1ANN4LswNJRV12F/UtnmA1h8pgYWJEBODextFZ3jGuqOxAU6orldhbxtaPh60Je8axGYijDKw1v6nHMWYP8wH35y/hY+PlGhtu6G4i7QvC9CnpyWmhrvpdT+1zhLubgdToQC5Vx9vFZejJbdR16DGoD49DOL7wMrMBH+K8kLmhTLktDKyfWfBDZRU1CJZ6go7Xq2jVRz4GaBnw9xgZSrCR0dlj9y3tOoutp28jrH+ThjQh0c5MWaoxvg5wdJUiD3t6OdX8/ugrqf7OhrkoK53x/ghyrMnFnz9C/55TAYiQrG8GkmbcqC424BVY/0R4GzT1dl8IixMRQj3sMPJx1y+74ciOUyEAgw1oKXt/ivOF1ZmIrz5XWGz24kI7x4shre9Jf4Q3PaJv40VB34GyNbCFDMjPfBDkRyXymta3XdlZjGUasLUcHeDWKKNMdY8KzMTJEp649DFMtQ8tG51S/aeLf19UJezQT3mvc9EJMS/Zg9AYG8b/GnXGfR463sErMrG+d+qsXy0HyYEuRhEq1VnGdGvF87fuoPLLfR7bIv9RbcQ7GKL/r0MJ2B2EJthfrQPDhaXYd+ZpquMbDt5HWdu3sGMCI9uO5djZzK8moABAOYN84ZSTVjeyqi3kvJa/OP4ZSRJnHlQB2PdwNRwdyjuKrH9VNsGd/3z+GW42ppjRH/DnbvTQWyG3PnDsHqcP0b174VnQ92we0YEXo32Nshg9nHE93WEmoCvf+nYJP7XKuuQf6MKg716wsbCsCY3fiPeFz4OVkj7sgA3FXc1718qr8Gc3WcgdbXFc+FuRvVDoKOM667pRvr1ssZkqQu2nbre7NxORIS5e89ACAHSBvaB2NywbnLGWFMj+/VCDwsTZLQh8Mu7WonDlyowOcQVfXoYdiuIUCjAwlhffDk9ApufDcUoP6duO1lzawZ59oSFibBDo7sB4F+/T248zIAe894nNjfBV7MiUX1Phci1h/H12VLsO3MTcZ8ca1yqdXR/+BrIqPWuZnx3Tjey9plAmImESPuyAEqV9gjfj4/K8N35W3g12htxfQ331z5j7P+ZmQjxfJQnsn8tx+kbrff1WvPjJViZivCHYFejGPxgDMxNRBjibY8TVypB1P75/L7+pRQePRpnhjBEgS62+P6FgVATIWnTCUxIzwURsH5CIEb7OXV19gwGB34GzMXWAqvG+SPnSiUmbc7F3QYViAif/CTD/K9+wVBve7wa7cV9+xjrRuZH+0AoEOC9gxdb3KdYXo0d+TeQJHFGpId+T9LL2mdkv164VFGLghvtW8Xjzl0lDhWXYZiPA3rbtLwair6L8XVE4Z9j8WlyMNYmSbBvVgRmRHrAxAhbgDuKn/8ZuDlDvFFadQ/LM4vhvPQH2FiY4LriLoZ622P1eH+4G/gjHsaYNlc7CyRLXbD3TCmK5dXo26vp460FX/0CcxMhZkR6GF0/uO4uUeKMP397HttPXm/X/IX/LryFehVhmI+9wbcA21qaIm2QZ1dnw2BxjdAN/PcYP+ybFYFhPvbwd7LGW0/3RfofQzCI1ypkrFt6N8EfADAzI7/JI7+9Z27i2/O3kDawD3fz6Ib8nG3g6yjWLLvWVttPXoOj2AxxvjzQz9hxi183kRTogqRAnr+IMWPgZW+FFWP8sPBf5/DGt+fx3lh/CAQC5F6txNRtp+DnZI20QX2McgCEMZgU3BsfZP2KK7fr0KcNqzGV19Tju8JbmCJ1hbcDPwUydlwrMMaYAZo/zAeJAc74a9aviP3kGGZ+cQpDPzqKHpYmWJskQaABTtjM2mZCoAtUBGzJu9qm/XcW3ECDijDGzwkiA3/Myx4fB36MMWaAREIB9s6KxMIYH1wqr0FG/g2M8XPCp8lSjORF6ru1SI8e8Ohhib1n2raKS/qJq/Cxt0KMr4OOc8YMAT/qZYwxAyUUCrB6vATvjw3A7dp6WJmJYGXG1Xp3JxQK8GKUJ5b8uxA5V263uhznMVkFfr5SicWxT8HF1nBH87LOwy1+jDFm4ERCARytzTnoMyKpAzwgEgrw0ZGSVvdb8+Ml2JibYJKRLW/HWsaBH2OMMWZgettaYHyAM/ad/Q2/3bnb7D4X5NXYffomJgb1Rqh726d+Yd0bB36MMcaYAVo+uj9q6pV4/etzTbYREV7ZcxaWpiKkhLrxCG+mwf8JjDHGmAEKdLHFtHB37Mi/gZwrt7W2fZl/Az9ckOOlKE+ez5Fp4cCPMcYYM1Dvj/VHD0tTjPvfHBTfqgYAfF94CzMy8iFxtsHzUTyfI9PGPYEZY4wxA9Xb1gKZfxqE6I9/gv+qLHg7iHGxrAb9HMX48BkJ+vWy6eosMj3DgR9jjDFmwKRudsidH413Dxaj8FY1xkZ7I1nqiiHevGwna4oDP8YYY8zA9XOyRnpKKIiIp21hreIH/4wxxlg3wUEfexQO/BhjjDHGjAQHfowxxhhjRoIDP8YYY4wxI8GBH2OMMcaYkeDAjzHGGGPMSAiIiLo6E/rA0dERXl5eOj+PXC5Hr169dH4eY8BlqRtcrrrB5apbXL66weWqG7ouV5lMhrKysma3ceD3hEVERCA3N7ers9EtcFnqBperbnC56haXr25wuepGV5YrP+pljDHGGDMSHPgxxhhjjBkJ0bJly5Z1dSaMTXh4eFdnodvgstQNLlfd4HLVLS5f3eBy1Y2uKlfu48cYY4wxZiT4US9jjDHGmJHgwI8xxhhjzEhw4NcCa2vrrs5Cq1JTU+Hk5ITAwMCuzkq7CAQCTJ06VfNaqVSiV69eGDduXKek35bPrbCwEFFRUTA3N8cHH3zQKefVR7os6/LycsTGxsLa2hpz58597PQM0aP+12JiYto1XcOSJUvg4eGh93VPa1auXAmJRILg4GCEhITg559/7lA62dnZ+OmnnzotX15eXi3OadYRo0ePRo8ePTqt3morgUCA119/XfP6gw8+QFd10+/M/1N9rk/0/X7sSCzAgZ8eUSqVbd535syZ+P7773WYG90Qi8U4e/Ys6urqAAAHDhyAm5tbu9JoTzk1x97eHuvWrcPChQsfKx191xll3RILCwssX768WwfOT9r48eORk5PT1dnosGPHjuGbb77ByZMncfr0aWRmZsLDw6NDaXV24Pc4mqtvFi1ahC1btjzxvJibm2PPnj2dGsR2hYfLlOsTbbqOBTjwa0V1dTXi4+MRFhaGoKAgfPXVVwAaZ8T29/fH888/D4lEgpEjR2q+XB/8lV9WVqZZDUQmkyE6OhphYWEICwvTVGrZ2dmIjo5GYmIiAgIC8Pbbb2Pt2rWaPCxZsgQffvhhk7wNGzYM9vb2urx8nUlISMC3334LAPjiiy+QkpKi2ZaTk4OoqCiEhoZi8ODBKCoqAgCkp6cjMTERcXFxiI+PR3V1NWbNmoWgoCAEBwdj9+7dmjSWLFkCqVSKQYMG4bfffmtyficnJ0RGRsLU6T3mFAAADoxJREFU1FTHV9r1OlLWw4YNQ35+vma/oUOHoqCgQCtdsViMoUOHwsLC4glchf7Kzs7WavWZO3cu0tPTtfb57LPPMH/+fM3rTz/9FAsWLGiS1qBBg+Di4qKzvOrazZs34ejoCHNzcwCNqyG5uroCAPLy8jB8+HCEh4dj1KhRuHnzJoDG+nLevHkICQlBYGAgcnJyIJPJsGHDBqxZswYhISE4fPgw5HI5Jk2ahMjISERGRuLo0aMAgGXLlmHGjBmIjo6Gp6cn9uzZg8WLFyMoKAijR49GQ0ODJn+rVq1CUFAQBgwYgIsXLwJAq+lOmzYNQ4YMwbRp05pca3x8PGxsbHRXmC0wMTHBCy+8gDVr1jTZJpPJEBcXh+DgYMTHx+PKlStQKBTw9PSEWq0GANTU1MDDwwMNDQ349ddfMXr0aISHhyM6OhqFhYUAGgOJl156CYMGDYKPjw+ys7ORmpoKf39/zJw5U+ucCxYsgEQiQXx8PORyOQC0mu6LL76IgQMHYvHixVrp6Ht90u1iAWLNEovF1NDQQAqFgoiI5HI5PfXUU6RWq6mkpIREIhGdOnWKiIiSk5Npy5YtREQ0fPhwOnHihOYYT09PIiKqqamhuro6IiK6cOEChYeHExFRVlYWWVlZ0aVLl4iIqKSkhEJDQ4mISKVSkY+PD5WVlTWbx5KSEpJIJDq4et0Ri8VUUFBAkyZNorq6OpJKpZSVlUVjx44lIiKFQkENDQ1ERHTgwAGaOHEiERFt2rSJ3NzcqLy8nIiIFi9eTPPmzdOkW1FRQUREAOjrr78mIqJFixbR8uXLW8zL0qVLafXq1Z1/kXqio2Wdnp6uKduioiLN/2pzNm3aRC+//LKOr0Q/icVirfIkInr55Zdp06ZNRPT/dcGdO3fIx8eH6uvriYgoKiqKTp8+3Wq6hujOnTsklUqpb9++9NJLL1F2djYREdXX11NUVBTdunWLiIgyMjJo1qxZRNRYRmlpaURE9J///EdTnz18b6akpNDhw4eJiOjy5cvk5+en2W/IkCFUX19P+fn5ZGlpSd999x0RET3zzDO0d+9eIiLy9PSkFStWEBHR5s2bNZ9Za+mGhYVRbW1ti9f78Gf/JIjFYlIoFOTp6UmVlZW0evVqWrp0KRERjRs3jtLT04mIaOPGjZSUlERERImJiXTo0CEiaiz72bNnExFRXFwcXbhwgYiIjh8/TrGxsURENGPGDJoyZQqp1Wrat28f2djY0OnTp0mlUlFYWJjmew8Abd26lYiI3nnnHU090Fq6Y8eOJaVS2eL16WN90h1jAZP2hYnGhYjw5ptv4scff4RQKMT169c1LUje3t4ICQkB0DgXj0wmazWthoYGzJ07F/n5+RCJRLhw4YJm24ABA+Dt7Q2gsS+Kg4MDTp06hd9++w2hoaFwcHDQzQV2keDgYMhkMnzxxRdISEjQ2qZQKDBjxgwUFxdDIBBo/WIfMWKE5pdNZmYmMjIyNNt69uwJADAzM9O0wISHh+PAgQO6vhy91pGyTk5OxvLly7F69Wp89tlnTX7ls/axtrZGXFwcvvnmG/j7+6OhoQFBQUFdna1OZ21tjby8PBw+fBhZWVmYMmUK3n//fURERODs2bMYMWIEAEClUmm1bN5vhR42bBiqqqpQWVnZJO3MzEycO3dO87qqqgrV1dUAgDFjxsDU1BRBQUFQqVQYPXo0ACAoKEirXr5/npSUFE2La2vpJiYmwtLS8rHLpbPZ2tpi+vTpWLdunVb+jh07hj179gAApk2bpmlVmzJlCnbs2IHY2FhkZGRgzpw5qK6uxk8//YTk5GTN8ffu3dP8PX78eAgEAgQFBcHZ2Vnz/yqRSCCTyRASEgKhUIgpU6YAAKZOnYqJEyc+Mt3k5GSIRCIdlIpudbdYgAO/Vmzbtg1yuRx5eXkwNTWFl5cX7t69CwCaxxkAIBKJNM27JiYmmmb1+/sCwJo1a+Ds7IyCggKo1WqtJm2xWKx13rS0NKSnp6O0tBSpqak6u76ulJiYiIULFyI7Oxvl5eWa9//yl78gNjYWe/fuhUwmQ0xMjGbbw+XUHFNTUwgEAgCNn8vj9gfsDtpb1lZWVhgxYgS++uorfPnll8jLy+uinOu/B+93QPuef1BaWhreffdd+Pn5YdasWU8qe0+cSCRCTEwMYmJiEBQUhM2bNyM8PBwSiQTHjh1r9pj792tLrwFArVbj+PHjzT4KvF8XC4VCrftfKBRq3f8Ppnv/79bSbUt901Xmz5+PsLCwNv0vJSYm4s0330RFRQXy8vIQFxeHmpoa9OjRQ6tLx4MeLNMHv+seLtMHCQQCqNXqVtPV5zJtTXeLBbiPXysUCgWcnJxgamqKrKwsXL58+ZHHeHl5ab4od+3apZWWi4sLhEIhtmzZApVK1WIaEyZMwPfff48TJ05g1KhRj38heig1NRVLly5t0vKhUCg0AxAe7iv1oBEjRuDjjz/WvL59+7ZO8tkddKSs09LS8OqrryIyMlLTmsqa8vT0xLlz53Dv3j1UVlbi4MGDze43cOBAXL16Fdu3b9fqZ9mdFBUVobi4WPM6Pz8fnp6e6N+/P+RyuSbwa2howC+//KLZb8eOHQCAI0eOwM7ODnZ2drCxscGdO3c0+4wcORLr16/XSru97p9nx44diIqK6rR0u4K9vT0mT56MjRs3at4bPHiw5inItm3bEB0dDaCxJTYyMhLz5s3DuHHjIBKJYGtrC29vb+zcuRNAY4vWw/14H0WtVmu+47Zv346hQ4d2Srr6qLvFAhz4NUOpVMLc3BzPPfcccnNzERQUhM8//xx+fn6PPHbhwoX45JNPEBoaqjXyas6cOdi8eTOkUikKCwtb/eVjZmaG2NhYTJ48ucVm8ZSUFERFRaGoqAju7u5aFYAhcHd3x6uvvtrk/cWLF+ONN95AaGhoq611b731Fm7fvo3AwEBIpVJkZWW1+dylpaVwd3fH3//+d6xYsQLu7u6oqqrq0HUYgo6UdXh4OGxtbVttUfDy8sJrr72G9PR0uLu7az0y6+7u1xEeHh6YPHkyAgMDMXnyZISGhrZ4zOTJkzFkyJAWA+nFixfD3d0dtbW1cHd377JpOjqquroaM2bMQEBAAIKDg3Hu3DksW7YMZmZm2LVrF/785z9DKpUiJCREa8SuhYUFQkND8eKLL2rqsfHjx2Pv3r2awR3r1q1Dbm4ugoODERAQgA0bNrQ7f7dv30ZwcDA+/PBDzeCIjqYbHR2N5ORkHDx4EO7u7ti/f3+78/O4Xn/9da3vmPXr12PTpk0IDg7Gli1btAYCTJkyBVu3btU8mgUag8ONGzdCKpVCIpFoBiy0lVgsRk5ODgIDA3Ho0CG8/fbbj5WuPtYn3TUW4CXbmlFQUIDnn3++y6ZWUKvVCAsLw86dO9G3b98uyQMzbjdu3EBMTAwKCwshFPLvw4d1pI4YN24cFixYgPj4eB3mzLDExMTggw8+QERERFdnhbEmumsswDX6QzZs2ICUlBSsWLGiS85/7tw5+Pr6Ij4+noM+1iU+//xzDBw4ECtXruSgrxntrSMqKyvRr18/WFpactDHmIHozrEAt/gxxhhjjBkJ/jnPGGOMMWYkOPBjjDHGGDMSHPgxxhhjjBkJDvwYY0ZNJBIhJCQEEokEUqkUf/vb37QmZdaFRYsWQSKRYNGiRTo9D2OMPYwHdzDGjJq1tbVmma5bt27h2WefxZAhQ/DOO+/o7Jx2dnaoqKh4IstXKZVKmJjwIk2MsUbc4scYY79zcnLCP//5T3z00UcgIshkMkRHRyMsLAxhYWGaiYenT5+Offv2aY577rnnmkxUS0RYtGgRAgMDERQUpFk5IjExEdXV1QgPD9e8BzTO2dW3b1/I5XLNa19fX8jlcsjlckyaNAmRkZGIjIzE0aNHAQA5OTmIiopCaGgoBg8ejKKiIgCNK7EkJiYiLi6Op5BhjGkjxhgzYmKxuMl7dnZ2VFpaSjU1NVRXV0dERBcuXKDw8HAiIsrOzqakpCQiIqqsrCQvLy9qaGjQSmPXrl309NNPk1KppNLSUvLw8KAbN260eE4iomXLltGaNWuIiGj//v00ceJEIiJKSUmhw4cPExHR5cuXyc/Pj4iIFAqF5rwHDhzQ7L9p0yZyc3Oj8vLyDpYKY6y74vZ/xhhrQUNDA+bOnYv8/HyIRCJcuHABADB8+HDMmTMHcrkcu3fvxqRJk5o8Tj1y5AhSUlIgEong7OyM4cOH48SJE0hMTGzxfKmpqUhKSsL8+fPx2WefaZbMy8zM1FrCqqqqCtXV1VAoFJgxYwaKi4shEAjQ0NCg2WfEiBGwt7fvzOJgjHUDHPgxxtgDLl26BJFIBCcnJ7zzzjtwdnZGQUEB1Go1LCwsNPtNnz4dW7duRUZGBjZt2tQp5/bw8ICzszMOHTqEnJwcbNu2DUDjY9/jx49rnR8A5s6di9jYWOzduxcymQwxMTGaba2tAcoYM17cx48xxn4nl8vx4osvYu7cuRAIBFAoFHBxcYFQKMSWLVugUqk0+86cORNr164FAAQEBDRJKzo6Gjt27IBKpYJcLsePP/6IAQMGPDIPaWlpmDp1KpKTkzWDP0aOHIn169dr9snPzwcAKBQKuLm5AWjs18cYY4/CgR9jzKjV1dVppnN5+umnMXLkSCxduhQAMGfOHGzevBlSqRSFhYVarWjOzs7w9/fXPI592IQJExAcHAypVIq4uDisWrUKvXv3fmR+7g/+eDDddevWITc3F8HBwQgICMCGDRsAAIsXL8Ybb7yB0NBQKJXKxykGxpiR4OlcGGOsA2praxEUFISTJ0/Czs6u09LNzc3FggULcPjw4U5LkzHG7uMWP8YYa6fMzEz4+/vjlVde6dSg7/3338ekSZPw3nvvdVqajDH2IG7xY4wxxhgzEtzixxhjjDFmJDjwY4wxxhgzEhz4McYYY4wZCQ78GGOMMcaMBAd+jDHGGGNG4v8AwnMxCXAuiI4AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 648x648 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lsSaNemaAQkW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SYBNGVr1iIqc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ormQyosiiInM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4nD__StHiIkz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8rJ92IaSiIh0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1x-YYtGKiIeT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6UqvDEvVyc4f",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hvEM-NEAyc0r",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D48OXeW00ArE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bnUoAatH0Aog",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BzOdsSHw0HTP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O59noYJC0HPw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2wsxYOjh0HMn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c-wfPKJv0HGH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jAcZ7Eo60HB6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6ArOpmQt0G-_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j0vk_ZAX0G7t",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-ZehIpny0G1d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xBlBd4tP0Alt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7n2WLoOIboph",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1cZRAirRboXl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}