{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introduction to pdvega\n",
    "Full article at [pbpython.com](http://pbpython.com/pdvega.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pdvega"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read in the FiveThirtyEight data on candy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"https://github.com/fivethirtyeight/data/blob/master/candy-power-ranking/candy-data.csv?raw=True\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clean up broken apostrophe\n",
    "df['competitorname'].replace(regex=True,inplace=True,to_replace=r'Õ',value=r\"'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "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>competitorname</th>\n",
       "      <th>chocolate</th>\n",
       "      <th>fruity</th>\n",
       "      <th>caramel</th>\n",
       "      <th>peanutyalmondy</th>\n",
       "      <th>nougat</th>\n",
       "      <th>crispedricewafer</th>\n",
       "      <th>hard</th>\n",
       "      <th>bar</th>\n",
       "      <th>pluribus</th>\n",
       "      <th>sugarpercent</th>\n",
       "      <th>pricepercent</th>\n",
       "      <th>winpercent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100 Grand</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.732</td>\n",
       "      <td>0.860</td>\n",
       "      <td>66.971725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3 Musketeers</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.511</td>\n",
       "      <td>67.602936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>One dime</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.011</td>\n",
       "      <td>0.116</td>\n",
       "      <td>32.261086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>One quarter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.011</td>\n",
       "      <td>0.511</td>\n",
       "      <td>46.116505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Air Heads</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.906</td>\n",
       "      <td>0.511</td>\n",
       "      <td>52.341465</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  competitorname  chocolate  fruity  caramel  peanutyalmondy  nougat  \\\n",
       "0      100 Grand          1       0        1               0       0   \n",
       "1   3 Musketeers          1       0        0               0       1   \n",
       "2       One dime          0       0        0               0       0   \n",
       "3    One quarter          0       0        0               0       0   \n",
       "4      Air Heads          0       1        0               0       0   \n",
       "\n",
       "   crispedricewafer  hard  bar  pluribus  sugarpercent  pricepercent  \\\n",
       "0                 1     0    1         0         0.732         0.860   \n",
       "1                 0     0    1         0         0.604         0.511   \n",
       "2                 0     0    0         0         0.011         0.116   \n",
       "3                 0     0    0         0         0.011         0.511   \n",
       "4                 0     0    0         0         0.906         0.511   \n",
       "\n",
       "   winpercent  \n",
       "0   66.971725  \n",
       "1   67.602936  \n",
       "2   32.261086  \n",
       "3   46.116505  \n",
       "4   52.341465  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try a pandas plot first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f73b242b780>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f73b2ca2908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"winpercent\"].plot.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try the same thing using pdvega"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"winpercent\", \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"winpercent\": 66.971725}, {\"winpercent\": 67.602936}, {\"winpercent\": 32.261086}, {\"winpercent\": 46.116505}, {\"winpercent\": 52.341465}, {\"winpercent\": 50.347546}, {\"winpercent\": 56.914547}, {\"winpercent\": 23.417824}, {\"winpercent\": 38.010963000000004}, {\"winpercent\": 34.517681}, {\"winpercent\": 38.975037}, {\"winpercent\": 36.017628}, {\"winpercent\": 24.524988}, {\"winpercent\": 42.272076}, {\"winpercent\": 39.460556}, {\"winpercent\": 43.088924}, {\"winpercent\": 39.185505}, {\"winpercent\": 46.783348}, {\"winpercent\": 57.11974}, {\"winpercent\": 34.158958}, {\"winpercent\": 51.41243}, {\"winpercent\": 42.178771999999995}, {\"winpercent\": 55.375454000000005}, {\"winpercent\": 62.28448100000001}, {\"winpercent\": 56.490501}, {\"winpercent\": 59.236121999999995}, {\"winpercent\": 28.127439000000003}, {\"winpercent\": 57.21925}, {\"winpercent\": 76.7686}, {\"winpercent\": 41.389557}, {\"winpercent\": 39.141056}, {\"winpercent\": 52.911392000000006}, {\"winpercent\": 71.46505}, {\"winpercent\": 66.574585}, {\"winpercent\": 46.411716}, {\"winpercent\": 55.064071999999996}, {\"winpercent\": 73.099556}, {\"winpercent\": 60.800701000000004}, {\"winpercent\": 64.35334}, {\"winpercent\": 47.829754}, {\"winpercent\": 54.526451}, {\"winpercent\": 55.354046}, {\"winpercent\": 70.735641}, {\"winpercent\": 66.47068}, {\"winpercent\": 22.445341}, {\"winpercent\": 39.4468}, {\"winpercent\": 46.296597}, {\"winpercent\": 69.483788}, {\"winpercent\": 37.722336}, {\"winpercent\": 41.265511}, {\"winpercent\": 37.348521999999996}, {\"winpercent\": 81.86625699999999}, {\"winpercent\": 84.18029}, {\"winpercent\": 73.43499}, {\"winpercent\": 72.887901}, {\"winpercent\": 35.290756}, {\"winpercent\": 65.716286}, {\"winpercent\": 29.703691}, {\"winpercent\": 42.849144}, {\"winpercent\": 34.722}, {\"winpercent\": 63.08514}, {\"winpercent\": 55.103694999999995}, {\"winpercent\": 37.887188}, {\"winpercent\": 45.995827}, {\"winpercent\": 76.67378199999999}, {\"winpercent\": 59.529251}, {\"winpercent\": 59.863997999999995}, {\"winpercent\": 52.825947}, {\"winpercent\": 67.037628}, {\"winpercent\": 34.578990999999995}, {\"winpercent\": 33.43755}, {\"winpercent\": 32.230995}, {\"winpercent\": 27.303865000000002}, {\"winpercent\": 54.861111}, {\"winpercent\": 48.982651000000004}, {\"winpercent\": 43.068897}, {\"winpercent\": 45.736748}, {\"winpercent\": 49.653503}, {\"winpercent\": 47.173229}, {\"winpercent\": 81.642914}, {\"winpercent\": 45.466282}, {\"winpercent\": 39.011897999999995}, {\"winpercent\": 44.375519}, {\"winpercent\": 41.904308}, {\"winpercent\": 49.524113}]}};\n",
       "var selector = \"#b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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"
     },
     "metadata": {
      "jupyter-vega3": "#b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"winpercent\"].vgplot.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KDE plots work as expected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"67daf076-9e86-498b-aea1-125efb74fabf\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#67daf076-9e86-498b-aea1-125efb74fabf"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"line\", \"encoding\": {\"x\": {\"field\": \" \", \"type\": \"quantitative\"}, \"y\": {\"field\": \"sugarpercent\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\" \": -0.47749999, \"sugarpercent\": 1.982309843266378e-05}, {\" \": -0.4755440340840841, \"sugarpercent\": 2.13218119357448e-05}, {\" \": -0.47358807816816817, \"sugarpercent\": 2.2927634675353772e-05}, {\" \": -0.47163212225225226, \"sugarpercent\": 2.464773441747856e-05}, {\" \": -0.4696761663363363, \"sugarpercent\": 2.6489722008843256e-05}, {\" \": -0.4677202104204204, \"sugarpercent\": 2.846167614720522e-05}, {\" \": -0.4657642545045045, \"sugarpercent\": 3.0572169358217606e-05}, {\" \": -0.4638082985885886, \"sugarpercent\": 3.2830295226084e-05}, {\" \": -0.46185234267267267, \"sugarpercent\": 3.52456969263606e-05}, {\" \": -0.45989638675675676, \"sugarpercent\": 3.782859711036679e-05}, {\" \": -0.45794043084084085, \"sugarpercent\": 4.0589829191742945e-05}, {\" \": -0.4559844749249249, \"sugarpercent\": 4.3540870086754076e-05}, {\" \": -0.454028519009009, \"sugarpercent\": 4.669387446095071e-05}, {\" \": -0.45207256309309307, \"sugarpercent\": 5.006171053578692e-05}, {\" \": -0.45011660717717716, \"sugarpercent\": 5.365799750973365e-05}, {\" \": -0.44816065126126126, \"sugarpercent\": 5.749714464931798e-05}, {\" \": -0.44620469534534535, \"sugarpercent\": 6.159439210636038e-05}, {\" \": -0.44424873942942944, \"sugarpercent\": 6.59658535184623e-05}, {\" \": -0.44229278351351353, \"sugarpercent\": 7.062856045051536e-05}, {\" \": -0.44033682759759757, \"sugarpercent\": 7.5600508735649e-05}, {\" \": -0.43838087168168166, \"sugarpercent\": 8.090070677460301e-05}, {\" \": -0.43642491576576575, \"sugarpercent\": 8.654922585300352e-05}, {\" \": -0.43446895984984985, 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"
     },
     "metadata": {
      "jupyter-vega3": "#67daf076-9e86-498b-aea1-125efb74fabf"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"sugarpercent\"].vgplot.kde()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can look at the sugar and price percentile distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"786bc007-b051-45fb-8a51-c2fbc6e6d459\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#786bc007-b051-45fb-8a51-c2fbc6e6d459"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"sugarpercent\", \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.011000000000000001}, {\"sugarpercent\": 0.011000000000000001}, {\"sugarpercent\": 0.90600002}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.90600002}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.046}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.127}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.90600002}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.127}, {\"sugarpercent\": 0.43000001}, {\"sugarpercent\": 0.43000001}, {\"sugarpercent\": 0.43000001}, {\"sugarpercent\": 0.093000002}, {\"sugarpercent\": 0.19699999999999998}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.22}, {\"sugarpercent\": 0.046}, {\"sugarpercent\": 0.26699999}, {\"sugarpercent\": 0.82499999}, {\"sugarpercent\": 0.82499999}, {\"sugarpercent\": 0.87199998}, {\"sugarpercent\": 0.30199999}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.96499997}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.84799999}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.19699999999999998}, {\"sugarpercent\": 0.22}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.59299999}, {\"sugarpercent\": 0.093000002}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.58099997}, {\"sugarpercent\": 0.034000002}, {\"sugarpercent\": 0.72000003}, {\"sugarpercent\": 0.40599999}, {\"sugarpercent\": 0.98799998}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.86000001}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.87199998}, {\"sugarpercent\": 0.22}, {\"sugarpercent\": 0.94099998}, {\"sugarpercent\": 0.94099998}, {\"sugarpercent\": 0.26699999}, {\"sugarpercent\": 0.26699999}, {\"sugarpercent\": 0.546}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.06899999799999999}, {\"sugarpercent\": 0.06899999799999999}, {\"sugarpercent\": 0.15099999}, {\"sugarpercent\": 0.56900001}, {\"sugarpercent\": 0.96499997}, {\"sugarpercent\": 0.41800001}, {\"sugarpercent\": 0.162}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.17399999}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.546}, {\"sugarpercent\": 0.22}, {\"sugarpercent\": 0.093000002}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.18600000000000003}, {\"sugarpercent\": 0.87199998}]}};\n",
       "var selector = \"#786bc007-b051-45fb-8a51-c2fbc6e6d459\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#786bc007-b051-45fb-8a51-c2fbc6e6d459"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega3": "#786bc007-b051-45fb-8a51-c2fbc6e6d459"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"sugarpercent\"].vgplot.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"45560aa1-034d-43d3-989c-0927841cc927\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#45560aa1-034d-43d3-989c-0927841cc927"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"pricepercent\", \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"pricepercent\": 0.86000001}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.034000002}, {\"pricepercent\": 0.034000002}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.45300001}, {\"pricepercent\": 0.465}, {\"pricepercent\": 0.465}, {\"pricepercent\": 0.465}, {\"pricepercent\": 0.465}, {\"pricepercent\": 0.093000002}, {\"pricepercent\": 0.91799998}, {\"pricepercent\": 0.91799998}, {\"pricepercent\": 0.91799998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.10400000000000001}, {\"pricepercent\": 0.27900001}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.44100001}, {\"pricepercent\": 0.86000001}, {\"pricepercent\": 0.86000001}, {\"pricepercent\": 0.91799998}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.97600001}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.023}, {\"pricepercent\": 0.83700001}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.27900001}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.96499997}, {\"pricepercent\": 0.86000001}, {\"pricepercent\": 0.06899999799999999}, {\"pricepercent\": 0.27900001}, {\"pricepercent\": 0.081}, {\"pricepercent\": 0.22}, {\"pricepercent\": 0.22}, {\"pricepercent\": 0.97600001}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.22}, {\"pricepercent\": 0.057999998}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.755}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.011000000000000001}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.255}, {\"pricepercent\": 0.90600002}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.31299999}, {\"pricepercent\": 0.26699999}, {\"pricepercent\": 0.84799999}]}};\n",
       "var selector = \"#45560aa1-034d-43d3-989c-0927841cc927\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#45560aa1-034d-43d3-989c-0927841cc927"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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1RkPwVxNYbKu7M7cUQfBjIoLgx3GOsVTXSovi2aLPdaPGaAj+bgLesc4v7t1KksX+tZIeKOmzc0kVBD8mEgh+HOcYS3WttCieLfpcN2qMhuDvJuCP7FwnCb2r/DtK+itJJ8wlVRD8mEgg+HGcYyzVtdKieLboc92oMRqCv5vAf6bv5n8w/edrSnqLpMvNJVUQ/JhIIPhxnGMs1bXSoni26HPdqDEagr+bwCcl3VuSv7jn4yck/b4kL/XP4kDwY8KA4MdxjrFU10qL4tmiz3WjxmgI/m4CvynpZEn/KOlISdeQ5P/2q3NJFQQ/JhIIfhznGEt1rbQoni36XDdqjIbg7ybwnZIeKul2ki6Q9OeSninp/LmkCoIfEwkEP45zjKW6VloUzxZ9rhs1RkPwL0zg8unb+d8h6VhJH59TmiD4MdFA8OM4x1iqa6VF8WzR57pRYzQEfzeBu0s6XdKlJF06Cb/f0H/5XFIFwY+JBIIfxznGUl0rLYpniz7XjRqjIfi7CXxY0islPVzSRSRtSfopSVebS6og+DGRQPDjOMdYqmulRfHE57o5sGq0Vjf8aS03am2e4+/nX0vSR1Mwj5P0D6niHz9belhA8HtAqtAEwa8AsccQTJA9IFVoQj5XgNhjCPK5B6QKTWoJ/uskWeT9sp4/vHMHSa76/RLfLA4EPyYMTJBxnGMs1bXSWkVEPteN/7rREPwYzrUE/wck/a6kWyTB91f2TpT0LzGn0W0Fwe9mVKMFE2QNit1jMEF2M6rRgnyuQbF7DPK5m1GNFrUE375cTNJVJb0vPcf/ag0Ha42B4Nciuf84TJBxnGMs1bVChV+X56rRWr0GxydT30Jr+VxL8P1lvT+WdMkk/F7af7ak19RHXDYigl/GLbdXq5NNaxcuFVFuZpa1J5/LuOX2Ip9ziZW1ryX4ruqfJ+mxkr5b0inpU7tXL3Orfi8Evz7TTaouEPyY/GiRMz6PnxsI/viMbaGW4Pst/ctI+lz6Hb5f4HuPpO+KOY1uKwh+N6MaLaiIalDsHoMJsptRjRbkcw2K3WOQz92MarSoJfhvlvQVScdL+p20Pe7HJN2yhpM1xkDwa1DsHoMJsptRjRZMkDUodo9BPnczqtGCfK5BsXuMWoJ/FUnPl3TT9P38t0o6SdI/dbsQ0wLBj+HMBBnHOcZSXSssj9fluWq0Vq/B8cnUt9BaPtcS/AXJi0r6mqSvS7q4pC/VR1w2IoJfxi23V6uTTWsXLhVRbmaWtSefy7jl9iKfc4mVtR8q+N8jaVvSj6Rn9o+U9GlJP54qfj6tWxaXb/RishkAL6Nrq5wzTnE2TVu8scLn8dMHwR+fsS0MFfyXSrqzpL+T9MOS3pX+/SFpOR/BHxDHVoWICXJA0Ht2ZYLsCWpgM67BgQB7diefe4Ia2Gyo4P+HpMdIeq6k60o6Oz3Df4qkX08v8g10sU53lvTrcOwahQmyi1CdvzNB1uHYNQr53EWozt/J5zocu0YZKvg76c38v0wf3PEze++S9+ouw9F/R/BjiDNBxnGOsVTXCqs/dXmuGq3Va3B8MvUttJbPYwj+jSS9rT7aYSMi+MP49e3d6mTT2oVLRdQ3I4e1I5+H8evbm3zuS2pYuxqC7y1xv5A2zfGX9T6y9Hb+NYe5V683gl+P5X4jMUHGcY6xVNdKizdW+Fw3B9atSoxvpb6F1nJjqOCf1YHwJvURl42I4Jdxy+2F4OcSK2tPRVTGLbcX+ZxLrKw9+VzGLbfXUMHPtTdZewQ/Bj0TZBznGEt1rbRWEZHPdeO/bjQEP4Yzgh/DucgKk00RtuxOrXLOPtEZdEDwxw8C+Tw+44WF1vIZwY/LjWxLrV64rV0ErXLOTqgZdCA3xg8C+Tw+44Mq+P5e/umSHirpWemTunG0pZ+TdGp6YdA+/Pk64yzpx4Sl1cmmRSGKiWhdKy1yxue6ObBqNJb0x2dsC0Mr/C9Kuo+kP5X0M+mjO8uenzHiaVxO0t9Iur6kS0jaknRvBH9E4j2GRvB7QKrQhAmyAsQeQ5DPPSBVaEI+V4DYY4ihgv/XkvZ7E/+IHj6UNvnZJPaP6DMAFX4fSsPbMEEOZ9hnBCbIPpSGtyGfhzPsMwL53IfS8DZDBd874l0jfVL35pK+uselMT/AY6H/fklXkORNfB4r6S1U+MOTYsgITJBD6PXvywTZn9WQluTzEHr9+5LP/VkNaTlU8Be2L53E3rvm+XO7fx+wNa4F/1aSflLS90k6U9JVbH97e/vUnZ2d0/aCOevc44awCu/r4Jx8urcnaOfA55hYwRnO6wiQG+TGfrlx6NChC6285y7F31jSKyRdPhn6RPqmvnfRG+v4+STwfmnPxzsl3U7SZ1cZZEl/rDDsHpeKCM7rCJAb5Aa5EZMDYwv+2yV9TtIL0xvz95N0UUk3HfH0vlfSyyTdQtJl0gt8V00rDBcyi+CPGImloZnU4cykHpMDcIZzLoFaS/r+lr6X0z+VHLiipHMkXTLXocz2/lngAyRdJG3T+5p1/RH8TLKFzRH8QnCZ3eCcCaywOZwLwWV2g3MmsMLmtQT/g5L+UNKzJR0p6cGS7iXpBwv9qt4Nwa+OdOWAXLhwpvKMyQE4wzmXQC3B9xL+85aM+8W9+0p6Qa5DY7VH8Mciu3tcBB/OCFFMDsAZzrkEagm+7d5A0m0lXSDpdZLekevMmO0R/DHpfntsBB/OCFFMDsAZzrkEagp+ru3Q9gh+DG4EH84IUUwOwBnOuQQQ/Fxige0RzxjYcIYz4hmTA3CeljOCPy3/fa0jRDHBgTOcEaKYHIDztJxrCf77JN1B0j9PezrrrbOkHxMZxBPOTOoxOQBnOOcSqCX4z5B0nnffS/9c+PHlXIfGao/gj0V297gIPpwRopgcgDOccwnUEnyL/dHpK3vLPuR+ojfX/97tEfzeqAY1RPAH4evdGc69UQ1qCOdB+Hp3hnNvVIMa1hJ8b1TztRWePGGQdxU7I/gVYe4zFBcunKk8Y3IAznDOJVBL8G33uml/+udKurokP9efzYHgx4QCwYczQhSTA3CGcy6BWoL/SEnbkvzM/uKS/lbSqyQ9Odehsdoj+GOR3T0ugg9nhCgmB+AM51wCtQTf2+HeSdKbJF06bVPrT+1eIdehsdoj+GORRfBjyMIZzv0IcNPdj9PQVi1yriX4/y7JW9N+JAn+j0t6taTLDoVaqz+CX4vk/uO0eBHgM7lBtRyTA3CelnMtwf8DSbeXdDlJ75F0TUkvTBvoTHuGyTqCHxMGxBPOTOoxOQBnOOcSqCX4fm7/KEm3Ts/x3yLpaZK+kOvQWO0R/LHIstQcQxbOcO5HgJvufpyGtmqRcy3BN7tLSfqhtFveOXMSezuH4A9N7379W7wI8LlfbIe2gvNQgv36w7kfp6GtWuRcS/BPlPRMSZdIEP9L0gMkvXgo1Fr9EfxaJPcfp8WLAJ/JDZbHY3IAztNyriX4n5H0/5LA++t6J0i6Dm/pDwsuQjSMX9/ecO5Lalg7OA/j17c3nPuSGtauRc61BN8/y7uRpI8nhMdKepck/3MWBxV+TBhavAjwmdyg8ozJAThPy3mo4N8uuX/L9LM8v62/I+nekj6YXuSb9gyTdQQ/JgyIJ5yZ1GNyAM5wziUwVPAt7vsdbJ6TG5Gl9ojnAHgZXeGcAWtAUzgPgJfRFc4ZsAY0bZHzUMG/yT68jpJ05gCeVbtS4VfFuXawFi8CfCY3qJZjcgDO03IeKvgL7y8iyV/X+15JRy6dEm/pD4gvQjQAXkZXOGfAGtAUzgPgZXSFcwasAU1b5FxL8L1Rzk+uYMeS/gFLqBYvAnwekKQZXeGcAWtAUzgPgJfRtUXOtQT/S5IeLOltkr6+xOz9GfxGbcqS/qh4vzV4ixcBPpMbLDXH5ACcp+VcS/D/SNIfSnrDtKez3jqCHxMZxBPOTOoxOQBnOOcSqCX4ru6fLumr6X8LP7xV7iwOBD8mDAg+nBGimByAM5xzCdQS/P+W9I+S3rFnSf+huQ6N1R7BH4vs7nERfDgjRDE5AGc45xKoJfjvTW/pn5vrQFR7BD+GNIIPZ4QoJgfgDOdcArUE/zmS/Jv8N+1Z0j+c69BY7RH8schS4ceQhTOc+xHgprsfp6GtWuRcS/AvSNvi7mX4HUOh1uqP4Nciuf84LV4E+ExuUC3H5ACcp+VcS/D9e/uuz+xOeqYIfgx+xBPOTOoxOQBnOOcSqCX4j1hh2DcBT811aKz2CP5YZFlqjiELZzj3I8BNdz9OQ1u1yLmW4K+q7v0BHpb0B2RViwmFzwMCntEVzhmwBjSF8wB4GV3hnAFrQNNagr/8e/uLS7qPJP9U71kDfKvalQq/Ks61g3Hhwpml5pgcgDOccwnUEvy9do+V9D5Jl8l1aKz2CP5YZFlqjiELZzj3I8BNdz9OQ1u1yLmW4P/ZEjzvnPdjkr4i6cpDodbqj+DXIrn/OC1eBPhMblAtx+QAnKflXEvw3710Gn6e/0lJT5D0t9Oe3retI/gxkUA84cykHpMDcIZzLoFagp9rN7w9gh+DHMGHM0IUkwNwhnMugaGCf0aHwTvmOjRWewR/LLK7x0Xw4YwQxeQAnOGcS6C24Hs532/pHy/pSEn+Lf4sDgQ/JgwIPpwRopgcgDOccwkMFfxlexb6X5bk7+d7m1w/w4/4Wd7Rks6R9CBJa1ccEPzc1Chrj+CXccvtBedcYmXt4VzGLbcXnHOJlbWvIfh+K9+/u3+cpEtJ+o30P/8OP+Lw1/xukewj+BHE97HBhRsTADjDmQo/Jgc2ifNQwb+zpCdJOiTpd1JV/9nAMFxT0mMkfVTSWVT4geTXmEKIYmIAZzhvkhCRzzH5PFTw/cze/3ujpE+veGZ/rxFPw+8HvFbSSZIejOCPSDpjaC7cDFgDmsJ5ALyMrnDOgDWgKZwHwMvoOlTwXVXvd9wkw5fcpveTdFlJT5O0tSz429vbp+7s7Jy2d8Czzj0u18ak7R2ck08/e1Ifco3jcy6xsvZwLuOW2wvOucTK2sO5jFtur6GCn2uvZvuXSfp+SRekf54n6eclrVRIXtqriX79WNypw3kdAXKD3CA3YnJgnZWWBX/5nHZV+KtOFsGPSTQmdTgzqcfkAJzhnEsAwc8lFtge8YyBDWc4I54xOQDnaTlviuB3UqTC70RUpQHiWQVj5yBw7kRUpQGcq2DsHATOnYiqNEDwq2AcZxAugnG47h0VznCm8ozJAThPyxnBn5b/vtYRopjgwBnOCFFMDsB5Ws4I/rT8EfwZ8EfwY4IAZzgj+DE5sM4Kgj8tfwR/BvwRopggwBnOCH5MDiD4W1s7rX14hwky5uKAM5wRopgcgPO0nKnwp+VPhT8D/gh+TBDgDGcEPyYHqPCp8EMyjUk9BLPgDGfEMyYHNokzFf60OUOFPwP+iGdMEOAM500SzxbzGcGPuQaLrLSYUPhcFOrsTnDORlbUAc5F2LI7wTkbWVEHBL8IW0wnLgI4UxHF5ACc4ZxLoMX5GcHPjXJg+xYTCp9jEgTOcOYmJSYHNokzgj9tzvAMfwb8Ec+YIMAZzpskni3mM4Ifcw0WWWkxofC5KNTZneCcjayoA5yLsGV3gnM2sqIOCH4RtphOXARwpiKKyQE4wzmXQIvzM4KfG+XA9i0mFD7HJAic4cxNSkwObBJnBH/anOEZ/gz4I54xQYAznDdJPFvMZwQ/5hosstJiQuFzUaizO8E5G1lRBzgXYcvuBOdsZEUdEPwibDGduAjgTEUUkwNwhnMugRbnZwQ/N8qB7VtMKHyOSRA4w5mblJgc2CTOCP60OcMz/BnwRzxjggBnOG+SeLaYzwh+zDVYZKXFhMLnolBnd4JzNrKiDnAuwpbdCc7ZyIo6IPhF2GI6cRHAmYooJgfgDOdcAi3Ozwh+bpQD27eYUPgckyBwhjM3KTE5sEmcEfxpc4Zn+DPgj3jGBAHOcN4k8WwxnxH8mGuwyEqLCYXPRaHO7gTnbDBGq9oAABXcSURBVGRFHeBchC27E5yzkRV1QPCLsMV04iKAMxVRTA7AGc65BFqcnxH83CgHtm8xofA5JkHgDGduUmJyYJM4I/jT5gzP8GfAH/GMCQKc4bxJ4tliPiP4MddgkZUWEwqfi0Kd3QnO2ciKOsC5CFt2JzhnIyvqgOAXYYvpxEUAZyqimByAM5xzCbQ4PyP4uVEObN9iQuFzTILAGc7cpMTkwCZxRvCnzRme4c+AP+IZEwQ4w3mTxLPFfEbwY67BIistJhQ+F4U6uxOcs5EVdYBzEbbsTnDORlbUAcEvwhbTiYsAzlREMTkAZzjnEmhxfkbwc6Mc2L7FhMLnmASBM5y5SYnJgU3ijOBPmzM8w58Bf8QzJghwhvMmiWeL+Yzgx1yDRVZaTCh8Lgp1dic4ZyMr6gDnImzZneCcjayoA4JfhC2mExcBnKmIYnIAznDOJdDi/Izg50Y5sH2LCYXPMQkCZzhzkxKTA5vEGcGfNmd4hj8D/ohnTBDgDOdNEs8W8xnBj7kGi6y0mFD4XBTq7E5wzkZW1AHORdiyO8E5G1lRh5YF/whJz5J0M0kXSHqYpDPXUdja2to569zjiiBN1YmLIIY8nOFM5RmTA3CelnPLgn8HSfeVdFdJV5X0MknXRvCnTSjEM4Y/nOGMeMbkwCZxblnwLyHpKEmfl3S0pHMkXQnB5yLIJYB45hIraw/nMm65veCcS6ysfYucWxb85Sg9Kon+YxD8suSt1avFiwCfa0V//3HgDOdNqpZbzOdNEPwTJd1F0p0kne+E2t7ePnVnZ+e0vcnV2jN8B+fk08+OmSUqWcHnSiA7hoEznNcRIDfIjf1y49ChQ37/bddxof8QgzDbyj0l3SMJ/pf3681Le9lsizq0eNeLz0Whzu4E52xkRR3gXIQtu1OLnFuu8K8g6RWSbi7pS13RQvC7CNX5e4sXAT7XiX3XKHDuIlTn73Cuw7FrlBY5tyz4fm7vn+J9ZikwN5J03qpAIfhd6Vvn7y1eBPhcJ/Zdo8C5i1Cdv8O5DseuUVrk3LLgd8Vj198R/CxcxY1bvAjwuTjcWR3hnIWruDGci9FldWyRM4KfFeLYxi0mFD7H5Aic4byOALlBbqwjgODH5EaRFS7cImzZneCcjayoA5yLsGV3gnM2sqIOLXJG8ItCHdOpxYTCZ3KDyjMmB+AM51wCCH4uscD2iGcMbDjDGfGMyQE4T8sZwZ+W/77WEaKY4MAZzghRTA7AeVrOCP60/BH8GfBH8GOCAGc4I/gxObDOCoI/LX8Efwb8EaKYIMAZzgh+TA4g+FtbO619S58JMubigDOcEaKYHIDztJyp8KflT4U/A/4IfkwQ4AxnBD8mB6jwqfBDMo1JPQSz4AxnxDMmBzaJMxX+tDlDhT8D/ohnTBDgDOdNEs8W8xnBj7kGi6y0mFD4XBTq7E5wzkZW1AHORdiyO8E5G1lRBwS/CFtMJy4COFMRxeQAnOGcS6DF+RnBz41yYPsWEwqfYxIEznDmJiUmBzaJM4I/bc7wDH8G/BHPmCDAGc6bJJ4t5jOCH3MNFllpMaHwuSjU2Z3gnI2sqAOci7Bld4JzNrKiDgh+EbaYTlwEcKYiiskBOMM5l0CL8zOCnxvlwPYtJhQ+xyQInOHMTUpMDmwSZwR/2pzhGf4M+COeMUGAM5w3STxbzGcEP+YaLLLSYkLhc1GoszvBORtZUQc4F2HL7gTnbGRFHRD8ImwxnbgI4ExFFJMDcIZzLoEW52cEPzfKge1bTCh8jkkQOMOZm5SYHNgkzgj+tDnDM/wZ8Ec8Y4IAZzhvkni2mM8Ifsw1WGSlxYTC56JQZ3eCczayog5wLsKW3QnO2ciKOiD4RdhiOnERwJmKKCYH4AznXAItzs8Ifm6UA9u3mFD4HJMgcIYzNykxObBJnBH8aXOGZ/gz4I94xgQBznDeJPFsMZ8R/JhrsMhKiwmFz0Whzu4E52xkRR3gXIQtuxOcs5EVdUDwi7DFdOIigDMVUUwOwBnOuQRanJ8R/NwoB7ZvMaHwOSZB4AxnblJicmCTOCP40+YMz/BnwB/xjAkCnOG8SeLZYj4j+DHXYJGVFhMKn4tCnd0JztnIijrAuQhbdic4ZyMr6oDgF2GL6cRFAGcqopgcgDOccwm0OD8j+LlRDmzfYkLhc0yCwBnO3KTE5MAmcUbwp80ZnuHPgD/iGRMEOMN5k8SzxXxG8GOuwSIrLSYUPheFOrsTnLORFXWAcxG27E5wzkZW1AHBL8IW04mLAM5URDE5AGc45xJocX5G8HOjHNi+xYTC55gEgTOcuUmJyYFN4ozgT5szPMOfAX/EMyYIcIbzJolni/mM4Mdcg0VWWkwofC4KdXYnOGcjK+oA5yJs2Z3gnI2sqAOCX4QtphMXAZypiGJyAM5wziXQ4vzcuuA/TdKtJX1N0gMlnb0uaFtbWztnnXtcbkwnbd9iQuFzTMrAGc7cpMTkwCZxblnwbybpFEl3lHQNSc+TdAMEn4sglwDimUusrD2cy7jl9oJzLrGy9i1yblnwT5P0MUnPT+F6n6QbSvqvVeGjwi9L6txeLV4E+Jwb5bL2cC7jltsLzrnEytq3yLllwf9tSWdIek0K1xslPUjSBxH8sgSu0avFiwCfa0S+eww4dzOq0QLONSh2j9Ei500S/DdJ+kVJH9re3j51Z2fHKwDfOo466qgLzj///CO7w0gLCEAAAhCAwOYROOaYY758//vf/+J7z+yIBk71sZI+Jen05Ov7JV1P0nnrKvzDhw+3cF7fct+PIfB5/EyE8/iMbQHOcF5HgNyYNjdaEMYbS3q8pNtIuo6kZ0q6CQkVkzhwhnMuASb1XGJl7eFcxi231yZxbkHwv1E0SLqtpK9IeoCkv0eIctO2bvtNugjqkqk7Gpzr8mTeiOEJ53lybkXwe9NjguyNalBDOA/C17sznHujGtQQzoPw9e4M596oBjVcx3njBN8v8p1yyimPG0QruDM+xwCHM5zXESA3yI2DkBsbJ/gxaYsVCEAAAhCAQFsEEPy24oW3EIAABCAAgSICmyr415L0e5K+U9Lb0vf3lwFdUtKfSLqCpM9KOkHSf0jq6lcCeZ2t5bGuLumVkn5D0u+kP/TpV+JPnz5dtp03z5Lkzx5fIOlhks6U1NWvj+3SNl22L5Y+y+zPM/s4NTHv6lfqT59+fW0fLemc9MEpf4Sqb78+PuS26bL9Y5L8rYx/SwP/jaT7zdxnu/pzKSec2w+V9Ocz99nfIrGfi+PKko5J/2fV3JYb55L2XblxVPpi6rGS/BvxpzRwDX5H+kn4j0r6oqT/I+nDI+bGKi1YjsU6jeq138ymCv6bJR2W9HZJL01J5gt4cfi3/V9OCfdLkq6Uvtff1a/kIlhnazGWL4LXS/L3Bf5hSfC7+pX40rdPl+07SLqvpLtKuqqkl0m6tqSufn3tl7Trsv0zkn4kTerfL+kvJR2auc8LDk+VdAtJfjfFgt91riX8+vbpsn28pLunj2Mtj9nVr6/9knZdti8nyTcm15d0ifSroHvPnPMyB4vEEyQ5x7vOtYRf3z5dtj1f+OfV/qWVmXt+nvs16BtB/0LsPmkPl0dLutNInNdpwTL/VRr1hb77zWyi4BuaxdOJ5MOTjy/kX1mi5sneVcdHJP0PSa9N3+fv6tc38ZfbrbLlKmhx+KuAF03+fW5J8Lv6lfjSt0+XbU+K5vx5SYvq0zdNXf362i9pl2P7ppKemFYocvqV+LVfnz62rynpMZI+KumsJPh9+tX2dTFel+2fSlwfsceBrn5j+etxu2z/bJojWvJ5mdcrJP2apPf0ONcpOftm0J9Fv5skb2n6ksS9Kz5T+uybmH9Nq4P2w/u6jDXXrdOCxfmv0zZ/hK7XfjObKPgWcFdB/hqfD3+kx0l2j6Ws8fLodSX5zmgRRLfv6leSeKtsOWH2Hp7UlwW/b78Sn7r65Nh+VBJ9+5/Tr8uH3L/3te123y3p9ul7Dn375frTp32XbV+fvhk9SdKDlwS/q18f26VtumzfK/nqRz0XkfSrkv5q5rlhofeqjx/xfU+q3t4yc58X8btaehTo3UR9dMWnNO59+vWx/WJJXh6/rCTfaFns+/TrY7+kTZdtr5q4yrevXsV8R3p04kfFezVk1bxe4tNeLViMsU7bXHj12m/mIAi+qzk/77pnpuCv6lcSvK6EWozZouCfKOkuaYnr/JlfuMux84qPt1n2BezdF8e6cLvypSs3vArlidHP5/zxqUWF39Wvy+6Qv3fZ9oqERejl6Z2YV0v6n6n6nCtnC/6tJP2kpO9L76NcZea5sYih3/v5a0l/1oDg+6bEhZfnYoujN0TzNfjeGV+Drrr9roF3aD07bdPuPJ6D4C80yjvHLgv+t/ab2Xuhb6Lg+yWLD0nySyw+fHfmJfTl5To/B/FzJLfzCySelBzQrn4lE+UqW06Yvcdewe/br8Snrj59bPui9cVrwff7ED769OuyXfr3Ltv/K72Y6aVxHxZ6Pxd3xbE3F1bFp9Sv/fp1+ex3I1x5ulr2P7109/OStmfs897zfZckv/PxxzP22Uwt8H6R08c7Jd1O0p/O2OcFZ4ul567F3iJdOTVGHi/G7LL95PS49QWpw9+l5+NzvgaXefkl8H9KNytd5zqE87oKf522WfB77TeziYJv0G+Q9Ovpztdvv/uNci8d+QUzVyh+8cLLjW7z8FRFGfKqft6Od8ixztYPpbc9XRn72Bvkdf2G+NK3b5fPl5fk54Y3l/SlpUHn7PMvpKVEL4976dZ36D+QXu5clQt9WQ1p18V5kRu2sVzhz5mzX266tCS/aOgqzkvjfp/GL9HOlbNfIPPNlW8AL5Ne4PNc4cdVc/XZuWFf3yrJL+0tjjnnht9w93L+Q1KOvDvlxikz5uxCwTn9wPSGvt9D8AvLY3LeqwVXTI+f/3ONRvnXA732m9lUwfcF4CVbvwxnobeof29aEvWd/HelisNV0yfTEpOfg6zqN2RCd991tvyC4K3TM8MXpn9+TZKD6vcO/O+uivb6ONSfPv27fHZF5J/ifWZpsBtJ2pmxz/75pX+q6SVEL9P5gvXKzrpz7cNpaJsuzp9YMrAs+HP22ZWm89ZL4z48mf9FA5x9I+iVHgu8J1wvN8+Zs3PDPzF9tiSL0OKYs8++Br3rqW+4PTf7ptAF2Zx9duX8Ikku0KwVXtX0HD2Gz94cbpUWLK79P9pHo3rtN7Opgj90IqY/BCAAAQhAYKMIIPgbFU5OBgIQgAAEILCaAIJPZkAAAhCAAAQOAAEE/wAEmVOEAAQgAAEIIPjkAAQgAAEIQOAAEEDwD0CQOUUIQAACEIAAgk8OQAACEIAABA4AAQT/AASZU4QABCAAAQgg+OQABOZPwB9h8vf0/bW6TTj8mevfleRPgi4f3oXRnzz2Vtb+eI+/Ee9Njl63p50/jOOvZHpP9cVnncfgcuf0RUlvrGWb/nKg//3rYxhjTAiMTQDBH5sw40NgOAF/Atji6C98tX74S5fes8JfkFz+kqDPy1/l8/fs/SlRf/VyneB7t0N/VvZf0tcdx2KyLPjm769j3jt9DW0sm4wLgdEIIPijoWVgCKwl4E/7ukr0piH+zrx3l3NF+0tpf4Iz0w5d3tbZf/Ne14sK3ztk/Vb61Oc/SvIeAf6nd6Rz1eydAC2kD03f3fbWtN5H2581dV9vZuP9yP9D0m3SWK5c/d/9jfB/Tp+j/oqkS0r6B0knJ/veItRzhu244nWF/Zy0W6K/5/3M9LlUf5Pe5+DPF/sc3M5Vvfel+PgSFX+O2XsaLI4Ppu1H/flSf17agu/Pr3oDLG9c4m/bPz/ZXlT4XvX4FUlPSPZ8nj4/b8ziz2p7BcBi7Z3avNvZnSSdu8+5e4fCJ6YbCe8XYf9d1XtbVLP0asstyW0ItEgAwW8xavi8CQQsHB+QdIMkaBZR761gobXQeRnbQuZq2BsUWfAtahZkC6fF7/clHZ1E3mJk0f2ptDmJhdBVtLfNtNB7DwFf7++R5F3LfjON5e1V/R3ul6QbAwujx79Z8utvUlVrgfU4Xm3wbmcWf+8q6O/P+5vu/u8WRYvjxdI5eMz7p2Xxa0nyft7+Zr3P1ZX+R5YqdG9g87l00/PcJcH3t9Z/Od1YWGi9J4ZvQBaC7xsJ/7tvcGzPNyjeyezu6Tzss//nmxeflwXcN1rmuPfcvbnLv6bvu3uDF3/33TcIC8G3Hdszc+9gyAGBpggg+E2FC2c3iIAF/xlJ1L1Fszfm8JK2BdaCb0F9aTrfxTN8i7f/5qVmC+Hi8EYkvin4aqpofV37v1mQn56Wv71FtA/fZHw4/ffXp124PL43jfHGN970xsJonyzkPvz/Lcje3GP5sK9eUfjv9B9t0zcpFt1lPxfP3P13V+++Udm7pG9bvhn56bS3+6LCX5yrt2P25iG+QfqJFYLvHfq8AZZ99bsAN17ht3eY84qBK/9V5+6VBP/trmn3PK8U+CZiIfjeMc03I8dI+vcNykVO5YAQQPAPSKA5zdkRsMh622bvOmjx87L9r6Yl7r3PrheC75fZLEgLUbSAerncQm3B9/K6x1s+9oq1xd5bRD8lbV279+ZhIfDeDcz7rPvw8ryfmXtrUx9+hu6ViNem/773RmAh1osX7rza4FUF+3rCGsG/Zno0sVfwXWG/StK90rNzi6/3qt9b4S9e4PPKiMXfvvvcl8/Dy/u+AbLf3rZ377l7u+dlwbevf7JC8H3z40ciHBBoigCC31S4cHaDCFjE/dKZn6NbzB6XltG9xfA6wX9S6uPtZn1z4K00L5+e51uU/bKbHwtYqCxeFjSLm//9Vuk5uPs+Nj1vt/03pCVyC7K3O37kCqH8tfQynZf5vbWpq15Xw36/wNW7x79UGtdL+Jfdcw7Lgu/q2X7/b0lvSqsSDuu6Jf2XS3pwWl730rxXIHxTM0Twfa6rzn07rbR4JcVL+t5i2zcXLOlv0IV3kE8FwT/I0efcpyRgwfeSvZ9tu8K3uDx86dn18s/Rln+WZ0F3lXplSe+W5GVmL6H7mbifjXvJ28+hLYre091Vrivyf0ui7wrWYu3lb4uZn2Mfl15y8wtrfnFub2Xs6tmrEa6+vSz+e0no/Sx78dKeK36/tOebkv0qfD/H9/sGXha3fd/cLA7b9ot1Xr73Hu9+Fu/3C+yXX3L083PvTb78s7zFM/ycCt83IOvO3S9OnpZ+EeGX9nwD5McDf5tWBewHL+1NeeVgu5gAgl+Mjo4QGEQg6rf1e8V7kNMjd7YQe/XBKxVzWzL/wfSzPP+SwS8tckCgOQIIfnMhw+ENIYDgXziQXjF4b/qFwi/OLM5/ln6J4Bch+fDOzIKDO/0IIPj9ONEKAhCAAAQg0DQBBL/p8OE8BCAAAQhAoB8BBL8fJ1pBAAIQgAAEmiaA4DcdPpyHAAQgAAEI9COA4PfjRCsIQAACEIBA0wQQ/KbDh/MQgAAEIACBfgT+P8Bcn/Tk3ggGAAAAAElFTkSuQmCC"
     },
     "metadata": {
      "jupyter-vega3": "#45560aa1-034d-43d3-989c-0927841cc927"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"pricepercent\"].vgplot.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"a66658e3-fb0d-49da-a169-6abc8c76e534\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#a66658e3-fb0d-49da-a169-6abc8c76e534"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"value\", \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"type\": \"quantitative\", \"stack\": null}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}, \"opacity\": {\"value\": 0.7}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.011000000000000001}, {\"variable\": \"sugarpercent\", \"value\": 0.011000000000000001}, {\"variable\": \"sugarpercent\", \"value\": 0.90600002}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.90600002}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.046}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.127}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.90600002}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.127}, {\"variable\": \"sugarpercent\", \"value\": 0.43000001}, {\"variable\": \"sugarpercent\", \"value\": 0.43000001}, {\"variable\": \"sugarpercent\", \"value\": 0.43000001}, {\"variable\": \"sugarpercent\", \"value\": 0.093000002}, {\"variable\": \"sugarpercent\", \"value\": 0.19699999999999998}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.22}, {\"variable\": \"sugarpercent\", \"value\": 0.046}, {\"variable\": \"sugarpercent\", \"value\": 0.26699999}, {\"variable\": \"sugarpercent\", \"value\": 0.82499999}, {\"variable\": \"sugarpercent\", \"value\": 0.82499999}, {\"variable\": \"sugarpercent\", \"value\": 0.87199998}, {\"variable\": \"sugarpercent\", \"value\": 0.30199999}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.96499997}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.84799999}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.19699999999999998}, {\"variable\": \"sugarpercent\", \"value\": 0.22}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.59299999}, {\"variable\": \"sugarpercent\", \"value\": 0.093000002}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.58099997}, {\"variable\": \"sugarpercent\", \"value\": 0.034000002}, {\"variable\": \"sugarpercent\", \"value\": 0.72000003}, {\"variable\": \"sugarpercent\", \"value\": 0.40599999}, {\"variable\": \"sugarpercent\", \"value\": 0.98799998}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.86000001}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.87199998}, {\"variable\": \"sugarpercent\", \"value\": 0.22}, {\"variable\": \"sugarpercent\", \"value\": 0.94099998}, {\"variable\": 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{\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.034000002}, {\"variable\": \"pricepercent\", \"value\": 0.034000002}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.45300001}, {\"variable\": \"pricepercent\", \"value\": 0.465}, {\"variable\": \"pricepercent\", \"value\": 0.465}, {\"variable\": \"pricepercent\", \"value\": 0.465}, {\"variable\": \"pricepercent\", \"value\": 0.465}, {\"variable\": \"pricepercent\", \"value\": 0.093000002}, {\"variable\": \"pricepercent\", \"value\": 0.91799998}, {\"variable\": \"pricepercent\", \"value\": 0.91799998}, {\"variable\": \"pricepercent\", \"value\": 0.91799998}, {\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.10400000000000001}, {\"variable\": \"pricepercent\", \"value\": 0.27900001}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.44100001}, {\"variable\": \"pricepercent\", \"value\": 0.86000001}, {\"variable\": \"pricepercent\", \"value\": 0.86000001}, {\"variable\": \"pricepercent\", \"value\": 0.91799998}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.76700002}, {\"variable\": \"pricepercent\", \"value\": 0.76700002}, {\"variable\": \"pricepercent\", \"value\": 0.97600001}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.76700002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.023}, {\"variable\": \"pricepercent\", \"value\": 0.83700001}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.27900001}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.96499997}, {\"variable\": \"pricepercent\", \"value\": 0.86000001}, {\"variable\": \"pricepercent\", \"value\": 0.06899999799999999}, {\"variable\": \"pricepercent\", \"value\": 0.27900001}, {\"variable\": \"pricepercent\", \"value\": 0.081}, {\"variable\": \"pricepercent\", \"value\": 0.22}, {\"variable\": \"pricepercent\", \"value\": 0.22}, {\"variable\": \"pricepercent\", \"value\": 0.97600001}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.22}, {\"variable\": \"pricepercent\", \"value\": 0.057999998}, {\"variable\": \"pricepercent\", \"value\": 0.76700002}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.755}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.011000000000000001}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.255}, {\"variable\": \"pricepercent\", \"value\": 0.90600002}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.31299999}, {\"variable\": \"pricepercent\", \"value\": 0.26699999}, {\"variable\": \"pricepercent\", \"value\": 0.84799999}]}};\n",
       "var selector = \"#a66658e3-fb0d-49da-a169-6abc8c76e534\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#a66658e3-fb0d-49da-a169-6abc8c76e534"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega3": "#a66658e3-fb0d-49da-a169-6abc8c76e534"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[[\"sugarpercent\", \"pricepercent\"]].vgplot.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare it to the pure pandas example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f73a1d405c0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f73a1d5f6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[[\"sugarpercent\", \"pricepercent\"]].plot.hist(alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try some scatter plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"2491dacc-fe72-4de8-bcf9-904781667f79\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#2491dacc-fe72-4de8-bcf9-904781667f79"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"circle\", \"encoding\": {\"x\": {\"field\": \"pricepercent\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"sugarpercent\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"pricepercent\": 0.86000001, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.011000000000000001}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.011000000000000001}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.90600002}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.90600002}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.046}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.034000002, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.034000002, \"sugarpercent\": 0.127}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.45300001, \"sugarpercent\": 0.90600002}, {\"pricepercent\": 0.465, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.465, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.465, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.465, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.093000002, \"sugarpercent\": 0.127}, {\"pricepercent\": 0.91799998, \"sugarpercent\": 0.43000001}, {\"pricepercent\": 0.91799998, \"sugarpercent\": 0.43000001}, {\"pricepercent\": 0.91799998, \"sugarpercent\": 0.43000001}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.093000002}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.19699999999999998}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.22}, {\"pricepercent\": 0.10400000000000001, \"sugarpercent\": 0.046}, {\"pricepercent\": 0.27900001, \"sugarpercent\": 0.26699999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.82499999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.82499999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.87199998}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.30199999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.44100001, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.86000001, \"sugarpercent\": 0.96499997}, {\"pricepercent\": 0.86000001, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.91799998, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.84799999}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.97600001, \"sugarpercent\": 0.19699999999999998}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.22}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.59299999}, {\"pricepercent\": 0.023, \"sugarpercent\": 0.093000002}, {\"pricepercent\": 0.83700001, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.58099997}, {\"pricepercent\": 0.27900001, \"sugarpercent\": 0.034000002}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.72000003}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.40599999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.98799998}, {\"pricepercent\": 0.96499997, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.86000001, \"sugarpercent\": 0.86000001}, {\"pricepercent\": 0.06899999799999999, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.27900001, \"sugarpercent\": 0.87199998}, {\"pricepercent\": 0.081, \"sugarpercent\": 0.22}, {\"pricepercent\": 0.22, \"sugarpercent\": 0.94099998}, {\"pricepercent\": 0.22, \"sugarpercent\": 0.94099998}, {\"pricepercent\": 0.97600001, \"sugarpercent\": 0.26699999}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.26699999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.546}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.06899999799999999}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.06899999799999999}, {\"pricepercent\": 0.22, \"sugarpercent\": 0.15099999}, {\"pricepercent\": 0.057999998, \"sugarpercent\": 0.56900001}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.96499997}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.41800001}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.162}, {\"pricepercent\": 0.755, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.011000000000000001, \"sugarpercent\": 0.17399999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.255, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.90600002, \"sugarpercent\": 0.546}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.22}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.093000002}, {\"pricepercent\": 0.31299999, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.26699999, \"sugarpercent\": 0.18600000000000003}, {\"pricepercent\": 0.84799999, \"sugarpercent\": 0.87199998}]}};\n",
       "var selector = \"#2491dacc-fe72-4de8-bcf9-904781667f79\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#2491dacc-fe72-4de8-bcf9-904781667f79"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega3": "#2491dacc-fe72-4de8-bcf9-904781667f79"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.vgplot.scatter(x='pricepercent', y='sugarpercent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"aceb80ee-9f3b-45bb-92b5-11953144fb9a\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#aceb80ee-9f3b-45bb-92b5-11953144fb9a"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"circle\", \"encoding\": {\"x\": {\"field\": \"winpercent\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"sugarpercent\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"winpercent\": 66.971725, \"sugarpercent\": 0.73199999}, {\"winpercent\": 67.602936, \"sugarpercent\": 0.60399997}, {\"winpercent\": 32.261086, \"sugarpercent\": 0.011000000000000001}, {\"winpercent\": 46.116505, \"sugarpercent\": 0.011000000000000001}, {\"winpercent\": 52.341465, \"sugarpercent\": 0.90600002}, {\"winpercent\": 50.347546, \"sugarpercent\": 0.465}, {\"winpercent\": 56.914547, \"sugarpercent\": 0.60399997}, {\"winpercent\": 23.417824, \"sugarpercent\": 0.31299999}, {\"winpercent\": 38.010963000000004, \"sugarpercent\": 0.90600002}, {\"winpercent\": 34.517681, \"sugarpercent\": 0.60399997}, {\"winpercent\": 38.975037, \"sugarpercent\": 0.60399997}, {\"winpercent\": 36.017628, \"sugarpercent\": 0.73199999}, {\"winpercent\": 24.524988, \"sugarpercent\": 0.046}, {\"winpercent\": 42.272076, \"sugarpercent\": 0.73199999}, {\"winpercent\": 39.460556, \"sugarpercent\": 0.73199999}, {\"winpercent\": 43.088924, \"sugarpercent\": 0.127}, {\"winpercent\": 39.185505, \"sugarpercent\": 0.73199999}, {\"winpercent\": 46.783348, \"sugarpercent\": 0.90600002}, {\"winpercent\": 57.11974, \"sugarpercent\": 0.465}, {\"winpercent\": 34.158958, \"sugarpercent\": 0.465}, {\"winpercent\": 51.41243, \"sugarpercent\": 0.465}, {\"winpercent\": 42.178771999999995, \"sugarpercent\": 0.465}, {\"winpercent\": 55.375454000000005, \"sugarpercent\": 0.127}, {\"winpercent\": 62.28448100000001, \"sugarpercent\": 0.43000001}, {\"winpercent\": 56.490501, \"sugarpercent\": 0.43000001}, {\"winpercent\": 59.236121999999995, \"sugarpercent\": 0.43000001}, {\"winpercent\": 28.127439000000003, \"sugarpercent\": 0.093000002}, {\"winpercent\": 57.21925, \"sugarpercent\": 0.19699999999999998}, {\"winpercent\": 76.7686, \"sugarpercent\": 0.31299999}, {\"winpercent\": 41.389557, \"sugarpercent\": 0.22}, {\"winpercent\": 39.141056, \"sugarpercent\": 0.046}, {\"winpercent\": 52.911392000000006, \"sugarpercent\": 0.26699999}, {\"winpercent\": 71.46505, \"sugarpercent\": 0.82499999}, {\"winpercent\": 66.574585, \"sugarpercent\": 0.82499999}, {\"winpercent\": 46.411716, \"sugarpercent\": 0.87199998}, {\"winpercent\": 55.064071999999996, \"sugarpercent\": 0.30199999}, {\"winpercent\": 73.099556, \"sugarpercent\": 0.60399997}, {\"winpercent\": 60.800701000000004, \"sugarpercent\": 0.73199999}, {\"winpercent\": 64.35334, \"sugarpercent\": 0.96499997}, {\"winpercent\": 47.829754, \"sugarpercent\": 0.31299999}, {\"winpercent\": 54.526451, \"sugarpercent\": 0.31299999}, {\"winpercent\": 55.354046, \"sugarpercent\": 0.84799999}, {\"winpercent\": 70.735641, \"sugarpercent\": 0.60399997}, {\"winpercent\": 66.47068, \"sugarpercent\": 0.31299999}, {\"winpercent\": 22.445341, \"sugarpercent\": 0.19699999999999998}, {\"winpercent\": 39.4468, \"sugarpercent\": 0.22}, {\"winpercent\": 46.296597, \"sugarpercent\": 0.465}, {\"winpercent\": 69.483788, \"sugarpercent\": 0.59299999}, {\"winpercent\": 37.722336, \"sugarpercent\": 0.093000002}, {\"winpercent\": 41.265511, \"sugarpercent\": 0.60399997}, {\"winpercent\": 37.348521999999996, \"sugarpercent\": 0.58099997}, {\"winpercent\": 81.86625699999999, \"sugarpercent\": 0.034000002}, {\"winpercent\": 84.18029, \"sugarpercent\": 0.72000003}, {\"winpercent\": 73.43499, \"sugarpercent\": 0.40599999}, {\"winpercent\": 72.887901, \"sugarpercent\": 0.98799998}, {\"winpercent\": 35.290756, \"sugarpercent\": 0.73199999}, {\"winpercent\": 65.716286, \"sugarpercent\": 0.86000001}, {\"winpercent\": 29.703691, \"sugarpercent\": 0.73199999}, {\"winpercent\": 42.849144, \"sugarpercent\": 0.87199998}, {\"winpercent\": 34.722, \"sugarpercent\": 0.22}, {\"winpercent\": 63.08514, \"sugarpercent\": 0.94099998}, {\"winpercent\": 55.103694999999995, \"sugarpercent\": 0.94099998}, {\"winpercent\": 37.887188, \"sugarpercent\": 0.26699999}, {\"winpercent\": 45.995827, \"sugarpercent\": 0.26699999}, {\"winpercent\": 76.67378199999999, \"sugarpercent\": 0.546}, {\"winpercent\": 59.529251, \"sugarpercent\": 0.60399997}, {\"winpercent\": 59.863997999999995, \"sugarpercent\": 0.06899999799999999}, {\"winpercent\": 52.825947, \"sugarpercent\": 0.06899999799999999}, {\"winpercent\": 67.037628, \"sugarpercent\": 0.15099999}, {\"winpercent\": 34.578990999999995, \"sugarpercent\": 0.56900001}, {\"winpercent\": 33.43755, \"sugarpercent\": 0.96499997}, {\"winpercent\": 32.230995, \"sugarpercent\": 0.41800001}, {\"winpercent\": 27.303865000000002, \"sugarpercent\": 0.162}, {\"winpercent\": 54.861111, \"sugarpercent\": 0.60399997}, {\"winpercent\": 48.982651000000004, \"sugarpercent\": 0.60399997}, {\"winpercent\": 43.068897, \"sugarpercent\": 0.31299999}, {\"winpercent\": 45.736748, \"sugarpercent\": 0.17399999}, {\"winpercent\": 49.653503, \"sugarpercent\": 0.465}, {\"winpercent\": 47.173229, \"sugarpercent\": 0.31299999}, {\"winpercent\": 81.642914, \"sugarpercent\": 0.546}, {\"winpercent\": 45.466282, \"sugarpercent\": 0.22}, {\"winpercent\": 39.011897999999995, \"sugarpercent\": 0.093000002}, {\"winpercent\": 44.375519, \"sugarpercent\": 0.31299999}, {\"winpercent\": 41.904308, \"sugarpercent\": 0.18600000000000003}, {\"winpercent\": 49.524113, \"sugarpercent\": 0.87199998}]}};\n",
       "var selector = \"#aceb80ee-9f3b-45bb-92b5-11953144fb9a\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#aceb80ee-9f3b-45bb-92b5-11953144fb9a"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega3": "#aceb80ee-9f3b-45bb-92b5-11953144fb9a"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.vgplot.scatter(x='winpercent', y='sugarpercent')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The pandas version does not look as nice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f73a1d5ff98>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f73a1d53cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(x='winpercent', y='sugarpercent', c='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pdvega suppports encoding the size and color based on values in columns of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"0f5d1daf-3459-4c79-88f2-30c3d4141331\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#0f5d1daf-3459-4c79-88f2-30c3d4141331"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"circle\", \"encoding\": {\"x\": {\"field\": \"winpercent\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"sugarpercent\", \"type\": \"quantitative\"}, \"color\": {\"field\": \"bar\", \"type\": \"ordinal\"}, \"size\": {\"field\": \"pricepercent\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"winpercent\": 66.971725, \"sugarpercent\": 0.73199999, \"bar\": 1, \"pricepercent\": 0.86000001}, {\"winpercent\": 67.602936, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.51099998}, {\"winpercent\": 32.261086, \"sugarpercent\": 0.011000000000000001, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 46.116505, \"sugarpercent\": 0.011000000000000001, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 52.341465, \"sugarpercent\": 0.90600002, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 50.347546, \"sugarpercent\": 0.465, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 56.914547, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 23.417824, \"sugarpercent\": 0.31299999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 38.010963000000004, \"sugarpercent\": 0.90600002, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 34.517681, \"sugarpercent\": 0.60399997, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 38.975037, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.51099998}, {\"winpercent\": 36.017628, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 24.524988, \"sugarpercent\": 0.046, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 42.272076, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 39.460556, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.034000002}, {\"winpercent\": 43.088924, \"sugarpercent\": 0.127, \"bar\": 0, \"pricepercent\": 0.034000002}, {\"winpercent\": 39.185505, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 46.783348, \"sugarpercent\": 0.90600002, \"bar\": 0, \"pricepercent\": 0.45300001}, {\"winpercent\": 57.11974, \"sugarpercent\": 0.465, \"bar\": 0, \"pricepercent\": 0.465}, {\"winpercent\": 34.158958, \"sugarpercent\": 0.465, \"bar\": 0, \"pricepercent\": 0.465}, {\"winpercent\": 51.41243, \"sugarpercent\": 0.465, \"bar\": 0, \"pricepercent\": 0.465}, {\"winpercent\": 42.178771999999995, \"sugarpercent\": 0.465, \"bar\": 0, \"pricepercent\": 0.465}, {\"winpercent\": 55.375454000000005, \"sugarpercent\": 0.127, \"bar\": 0, \"pricepercent\": 0.093000002}, {\"winpercent\": 62.28448100000001, \"sugarpercent\": 0.43000001, \"bar\": 1, \"pricepercent\": 0.91799998}, {\"winpercent\": 56.490501, \"sugarpercent\": 0.43000001, \"bar\": 1, \"pricepercent\": 0.91799998}, {\"winpercent\": 59.236121999999995, \"sugarpercent\": 0.43000001, \"bar\": 1, \"pricepercent\": 0.91799998}, {\"winpercent\": 28.127439000000003, \"sugarpercent\": 0.093000002, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 57.21925, \"sugarpercent\": 0.19699999999999998, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 76.7686, \"sugarpercent\": 0.31299999, \"bar\": 1, \"pricepercent\": 0.51099998}, {\"winpercent\": 41.389557, \"sugarpercent\": 0.22, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 39.141056, \"sugarpercent\": 0.046, \"bar\": 0, \"pricepercent\": 0.10400000000000001}, {\"winpercent\": 52.911392000000006, \"sugarpercent\": 0.26699999, \"bar\": 0, \"pricepercent\": 0.27900001}, {\"winpercent\": 71.46505, \"sugarpercent\": 0.82499999, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 66.574585, \"sugarpercent\": 0.82499999, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 46.411716, \"sugarpercent\": 0.87199998, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 55.064071999999996, \"sugarpercent\": 0.30199999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 73.099556, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.65100002}, {\"winpercent\": 60.800701000000004, \"sugarpercent\": 0.73199999, \"bar\": 1, \"pricepercent\": 0.44100001}, {\"winpercent\": 64.35334, \"sugarpercent\": 0.96499997, \"bar\": 1, \"pricepercent\": 0.86000001}, {\"winpercent\": 47.829754, \"sugarpercent\": 0.31299999, \"bar\": 1, \"pricepercent\": 0.86000001}, {\"winpercent\": 54.526451, \"sugarpercent\": 0.31299999, \"bar\": 1, \"pricepercent\": 0.91799998}, {\"winpercent\": 55.354046, \"sugarpercent\": 0.84799999, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 70.735641, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 66.47068, \"sugarpercent\": 0.31299999, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 22.445341, \"sugarpercent\": 0.19699999999999998, \"bar\": 0, \"pricepercent\": 0.97600001}, {\"winpercent\": 39.4468, \"sugarpercent\": 0.22, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 46.296597, \"sugarpercent\": 0.465, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 69.483788, \"sugarpercent\": 0.59299999, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 37.722336, \"sugarpercent\": 0.093000002, \"bar\": 0, \"pricepercent\": 0.023}, {\"winpercent\": 41.265511, \"sugarpercent\": 0.60399997, \"bar\": 0, \"pricepercent\": 0.83700001}, {\"winpercent\": 37.348521999999996, \"sugarpercent\": 0.58099997, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 81.86625699999999, \"sugarpercent\": 0.034000002, \"bar\": 0, \"pricepercent\": 0.27900001}, {\"winpercent\": 84.18029, \"sugarpercent\": 0.72000003, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 73.43499, \"sugarpercent\": 0.40599999, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 72.887901, \"sugarpercent\": 0.98799998, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 35.290756, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.96499997}, {\"winpercent\": 65.716286, \"sugarpercent\": 0.86000001, \"bar\": 0, \"pricepercent\": 0.86000001}, {\"winpercent\": 29.703691, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.06899999799999999}, {\"winpercent\": 42.849144, \"sugarpercent\": 0.87199998, \"bar\": 0, \"pricepercent\": 0.27900001}, {\"winpercent\": 34.722, \"sugarpercent\": 0.22, \"bar\": 0, \"pricepercent\": 0.081}, {\"winpercent\": 63.08514, \"sugarpercent\": 0.94099998, \"bar\": 0, \"pricepercent\": 0.22}, {\"winpercent\": 55.103694999999995, \"sugarpercent\": 0.94099998, \"bar\": 0, \"pricepercent\": 0.22}, {\"winpercent\": 37.887188, \"sugarpercent\": 0.26699999, \"bar\": 0, \"pricepercent\": 0.97600001}, {\"winpercent\": 45.995827, \"sugarpercent\": 0.26699999, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 76.67378199999999, \"sugarpercent\": 0.546, \"bar\": 1, \"pricepercent\": 0.65100002}, {\"winpercent\": 59.529251, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.65100002}, {\"winpercent\": 59.863997999999995, \"sugarpercent\": 0.06899999799999999, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 52.825947, \"sugarpercent\": 0.06899999799999999, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 67.037628, \"sugarpercent\": 0.15099999, \"bar\": 0, \"pricepercent\": 0.22}, {\"winpercent\": 34.578990999999995, \"sugarpercent\": 0.56900001, \"bar\": 0, \"pricepercent\": 0.057999998}, {\"winpercent\": 33.43755, \"sugarpercent\": 0.96499997, \"bar\": 0, \"pricepercent\": 0.76700002}, {\"winpercent\": 32.230995, \"sugarpercent\": 0.41800001, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 27.303865000000002, \"sugarpercent\": 0.162, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 54.861111, \"sugarpercent\": 0.60399997, \"bar\": 0, \"pricepercent\": 0.755}, {\"winpercent\": 48.982651000000004, \"sugarpercent\": 0.60399997, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 43.068897, \"sugarpercent\": 0.31299999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 45.736748, \"sugarpercent\": 0.17399999, \"bar\": 0, \"pricepercent\": 0.011000000000000001}, {\"winpercent\": 49.653503, \"sugarpercent\": 0.465, \"bar\": 1, \"pricepercent\": 0.32499999}, {\"winpercent\": 47.173229, \"sugarpercent\": 0.31299999, \"bar\": 0, \"pricepercent\": 0.255}, {\"winpercent\": 81.642914, \"sugarpercent\": 0.546, \"bar\": 1, \"pricepercent\": 0.90600002}, {\"winpercent\": 45.466282, \"sugarpercent\": 0.22, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 39.011897999999995, \"sugarpercent\": 0.093000002, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 44.375519, \"sugarpercent\": 0.31299999, \"bar\": 0, \"pricepercent\": 0.31299999}, {\"winpercent\": 41.904308, \"sugarpercent\": 0.18600000000000003, \"bar\": 0, \"pricepercent\": 0.26699999}, {\"winpercent\": 49.524113, \"sugarpercent\": 0.87199998, \"bar\": 0, \"pricepercent\": 0.84799999}]}};\n",
       "var selector = \"#0f5d1daf-3459-4c79-88f2-30c3d4141331\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#0f5d1daf-3459-4c79-88f2-30c3d4141331"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega3": "#0f5d1daf-3459-4c79-88f2-30c3d4141331"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.vgplot.scatter(x='winpercent', y='sugarpercent', s='pricepercent', c='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The scatter matrix is really helpful"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"fddf6a76-129c-47a4-bf74-fb1d0d77b246\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#fddf6a76-129c-47a4-bf74-fb1d0d77b246"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"repeat\": {\"row\": [\"sugarpercent\", \"pricepercent\"], \"column\": [\"pricepercent\", \"sugarpercent\"]}, \"spec\": {\"mark\": \"point\", \"selection\": {\"brush\": {\"type\": \"interval\", \"resolve\": \"union\", \"on\": \"[mousedown[event.shiftKey], window:mouseup] > window:mousemove!\", \"translate\": \"[mousedown[event.shiftKey], window:mouseup] > window:mousemove!\", \"zoom\": \"wheel![event.shiftKey]\"}, \"grid\": {\"type\": \"interval\", \"resolve\": \"global\", \"bind\": \"scales\", \"translate\": \"[mousedown[!event.shiftKey], window:mouseup] > window:mousemove!\", \"zoom\": \"wheel![!event.shiftKey]\"}}, \"encoding\": {\"x\": {\"field\": {\"repeat\": \"column\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": {\"repeat\": \"row\"}, \"type\": \"quantitative\"}, \"color\": {\"condition\": {\"selection\": \"brush\", \"field\": \"winpercent\", \"type\": \"quantitative\"}, \"value\": \"grey\"}}}, \"data\": {\"values\": [{\"sugarpercent\": 0.73199999, \"winpercent\": 66.971725, \"pricepercent\": 0.86000001}, {\"sugarpercent\": 0.60399997, \"winpercent\": 67.602936, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.011000000000000001, \"winpercent\": 32.261086, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.011000000000000001, \"winpercent\": 46.116505, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.90600002, \"winpercent\": 52.341465, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.465, \"winpercent\": 50.347546, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.60399997, \"winpercent\": 56.914547, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.31299999, \"winpercent\": 23.417824, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.90600002, \"winpercent\": 38.010963000000004, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.60399997, \"winpercent\": 34.517681, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.60399997, \"winpercent\": 38.975037, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.73199999, \"winpercent\": 36.017628, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.046, \"winpercent\": 24.524988, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.73199999, \"winpercent\": 42.272076, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.73199999, \"winpercent\": 39.460556, \"pricepercent\": 0.034000002}, {\"sugarpercent\": 0.127, \"winpercent\": 43.088924, \"pricepercent\": 0.034000002}, {\"sugarpercent\": 0.73199999, \"winpercent\": 39.185505, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.90600002, \"winpercent\": 46.783348, \"pricepercent\": 0.45300001}, {\"sugarpercent\": 0.465, \"winpercent\": 57.11974, \"pricepercent\": 0.465}, {\"sugarpercent\": 0.465, \"winpercent\": 34.158958, \"pricepercent\": 0.465}, {\"sugarpercent\": 0.465, \"winpercent\": 51.41243, \"pricepercent\": 0.465}, {\"sugarpercent\": 0.465, \"winpercent\": 42.178771999999995, \"pricepercent\": 0.465}, {\"sugarpercent\": 0.127, \"winpercent\": 55.375454000000005, \"pricepercent\": 0.093000002}, {\"sugarpercent\": 0.43000001, \"winpercent\": 62.28448100000001, \"pricepercent\": 0.91799998}, {\"sugarpercent\": 0.43000001, \"winpercent\": 56.490501, \"pricepercent\": 0.91799998}, {\"sugarpercent\": 0.43000001, \"winpercent\": 59.236121999999995, \"pricepercent\": 0.91799998}, {\"sugarpercent\": 0.093000002, \"winpercent\": 28.127439000000003, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.19699999999999998, \"winpercent\": 57.21925, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.31299999, \"winpercent\": 76.7686, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.22, \"winpercent\": 41.389557, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.046, \"winpercent\": 39.141056, \"pricepercent\": 0.10400000000000001}, {\"sugarpercent\": 0.26699999, \"winpercent\": 52.911392000000006, \"pricepercent\": 0.27900001}, {\"sugarpercent\": 0.82499999, \"winpercent\": 71.46505, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.82499999, \"winpercent\": 66.574585, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.87199998, \"winpercent\": 46.411716, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.30199999, \"winpercent\": 55.064071999999996, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.60399997, \"winpercent\": 73.099556, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.73199999, \"winpercent\": 60.800701000000004, \"pricepercent\": 0.44100001}, {\"sugarpercent\": 0.96499997, \"winpercent\": 64.35334, \"pricepercent\": 0.86000001}, {\"sugarpercent\": 0.31299999, \"winpercent\": 47.829754, \"pricepercent\": 0.86000001}, {\"sugarpercent\": 0.31299999, \"winpercent\": 54.526451, \"pricepercent\": 0.91799998}, {\"sugarpercent\": 0.84799999, \"winpercent\": 55.354046, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.60399997, \"winpercent\": 70.735641, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.31299999, \"winpercent\": 66.47068, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.19699999999999998, \"winpercent\": 22.445341, \"pricepercent\": 0.97600001}, {\"sugarpercent\": 0.22, \"winpercent\": 39.4468, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.465, \"winpercent\": 46.296597, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.59299999, \"winpercent\": 69.483788, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.093000002, \"winpercent\": 37.722336, \"pricepercent\": 0.023}, {\"sugarpercent\": 0.60399997, \"winpercent\": 41.265511, \"pricepercent\": 0.83700001}, {\"sugarpercent\": 0.58099997, \"winpercent\": 37.348521999999996, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.034000002, \"winpercent\": 81.86625699999999, \"pricepercent\": 0.27900001}, {\"sugarpercent\": 0.72000003, \"winpercent\": 84.18029, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.40599999, \"winpercent\": 73.43499, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.98799998, \"winpercent\": 72.887901, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.73199999, \"winpercent\": 35.290756, \"pricepercent\": 0.96499997}, {\"sugarpercent\": 0.86000001, \"winpercent\": 65.716286, \"pricepercent\": 0.86000001}, {\"sugarpercent\": 0.73199999, \"winpercent\": 29.703691, \"pricepercent\": 0.06899999799999999}, {\"sugarpercent\": 0.87199998, \"winpercent\": 42.849144, \"pricepercent\": 0.27900001}, {\"sugarpercent\": 0.22, \"winpercent\": 34.722, \"pricepercent\": 0.081}, {\"sugarpercent\": 0.94099998, \"winpercent\": 63.08514, \"pricepercent\": 0.22}, {\"sugarpercent\": 0.94099998, \"winpercent\": 55.103694999999995, \"pricepercent\": 0.22}, {\"sugarpercent\": 0.26699999, \"winpercent\": 37.887188, \"pricepercent\": 0.97600001}, {\"sugarpercent\": 0.26699999, \"winpercent\": 45.995827, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.546, \"winpercent\": 76.67378199999999, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.60399997, \"winpercent\": 59.529251, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.06899999799999999, \"winpercent\": 59.863997999999995, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.06899999799999999, \"winpercent\": 52.825947, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.15099999, \"winpercent\": 67.037628, \"pricepercent\": 0.22}, {\"sugarpercent\": 0.56900001, \"winpercent\": 34.578990999999995, \"pricepercent\": 0.057999998}, {\"sugarpercent\": 0.96499997, \"winpercent\": 33.43755, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.41800001, \"winpercent\": 32.230995, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.162, \"winpercent\": 27.303865000000002, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.60399997, \"winpercent\": 54.861111, \"pricepercent\": 0.755}, {\"sugarpercent\": 0.60399997, \"winpercent\": 48.982651000000004, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.31299999, \"winpercent\": 43.068897, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.17399999, \"winpercent\": 45.736748, \"pricepercent\": 0.011000000000000001}, {\"sugarpercent\": 0.465, \"winpercent\": 49.653503, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.31299999, \"winpercent\": 47.173229, \"pricepercent\": 0.255}, {\"sugarpercent\": 0.546, \"winpercent\": 81.642914, \"pricepercent\": 0.90600002}, {\"sugarpercent\": 0.22, \"winpercent\": 45.466282, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.093000002, \"winpercent\": 39.011897999999995, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.31299999, \"winpercent\": 44.375519, \"pricepercent\": 0.31299999}, {\"sugarpercent\": 0.18600000000000003, \"winpercent\": 41.904308, \"pricepercent\": 0.26699999}, {\"sugarpercent\": 0.87199998, \"winpercent\": 49.524113, \"pricepercent\": 0.84799999}]}};\n",
       "var selector = \"#fddf6a76-129c-47a4-bf74-fb1d0d77b246\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#fddf6a76-129c-47a4-bf74-fb1d0d77b246"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EyLoezECQDsCkAy6LJg3vZR0m7ORpCt+FT62kE84zJGMLw1XizWCS7AXJrevOQiE5+aGzBtRkGU+Y+1G2wRgdZlwaBstPFsFNphHKYVJmS8lWLbxoEN3d6PpJBH+uQTRhoPF5yaZ6XVr8qXGox3PL83f5M1/MZQx/Z5JVCGnezU3+Mg/yu0yIfRjk+oJT+tM1anE9XvuXxB8JLxJ29JgkZixBZQsoEim2EKsRflH/jwg8Ek6WELPEzV/CjQQZ/T9cI+TM6nKW0LKFH/1tC7Sa8pYAA0IkEMk+IvCicEWEYqT+aoFn2kKRBKWsFqo1wo8EGwm96nLU0RpBaOOJCEISbqTxJImzSHlLMFYLvWqBZws96psg4UcCjwQjCbpqIShFqPpvMwxmCcVqwWgJvxoBSBhNcGGifPkcLf7iejMSYOT1y0YQC95bM52BDQFD/qTDellTqgXvrstmTORJiVV5h/dyLLQaw3fOo8XpaSncEpH3nZ5VM6AumL+ygEn0kpDT7z99QM2ZdyfO/TiHM+QIiaJFFw227GgaWPCqQoBtev7CQRPjoTcR/MWDozEbjc9LNtXr0uJPjUM9nluev7wFX7wiOY4E2KezT+l3KCGiaWAZxBscqJh1yn61Dnh2g9hr/+rMHwlVnflzMwY9K9seg/2c99blSYhsxmTh5YdlWvfFRrKBDHzx5cP3sLKBTp4YmT+rbhYQuXPHDrSmkmuygY2IP8nY4oUXDLLaP/GepUO5YUzTmT8nnkhMGa+DfWJQeldre4wH3rGnN4CpcunF+xYRfwb4V3eesi9dmYbLF6ycyTi/ikm5pWBsf7r6LK7HC3zRDevMnz0VrDN/cY1HJaP2GOzveOf7rADnMwFWIiGXQcpSxpiVnYsWhE6IdTLtC2ANpFjGOO8vJbIkQ2l5uciN3vRx/D0fZwYMzKI2pZSLJdhmxtmJdKNFdDbQCaboMl4HK7ftxyqv8cViqHl/3x7jgZcM6/GsxqYX/F00f9X4pAB7hJBwyK+kwEZwdpgEAkzg7YJT9zsmXpRe4Ksr/vSaP535i3c8Ktm15WA/5dWN6beN7tHg3a9R6/5q+HM75UuGsTZ8gLFpTCK9lpOYKLhv3MDFdR035v5P8miNX62fCyx7/uLB9TaNOHW618HKabtOyznBR1PoDe2OdtqGSjkn+FTq95ttW44HzcG138dLW8V35hNf7vHkWf3WRXx8xbOrP6c1ftE+V13vFyvexzO+dOZPZ/7iGTee2LTFYD/1xW9yOBM5EYIk5NKQ0bUgWghePK94KE8KXMsZekAiICQ2ilD4hnvHD3R1rEqsYGqt/UvFUAgjQzCz1AhgaWQKuCEHUgaQcwyh3wmBZS9eMtjV0TN164yFz5NBpFBJU/jOfmz5GICNB2SH6ibYwsfPOYA20TTb43f+vCaiLcYDrzlqqj6/j5e2hG/ivOLx4OxWIWQ3Oz6EgwZfNHdcfyv2UwYwmTPrCrdKIR+ZO67/PNWx4DV/es2fXvOnOibjtm9rwf7al78awyRqHQhtk7Mm/7h9JtO/6QgWw5r2rf+YQtTaiBGLWK+DQaz23P6+teKrFn41fqTsrZ09bV4B6Hf+3I6HWOXbWjyI1V+vf+/38dKW8OX+r3izlOhk+5A2sRr076DBn587LusMr31L9XnNn8786cxfIsapozrbWrCf9uLqfDq4GZItzD9+78Ipr36XEQyHpzOGXmGI/P8e12/pxfNX5YJhjBRy2dzTs2ZSdi49hU9mnA2BxMJ7x/V3nF3yOhg4cpqLQq0V39mPLacdz+mSyfw3Pv915c6pLGePnp0u55zzNWv+vK74pqOb5Vo/v/PnYig4KtrW4oGjTntYyO/jpS3g6z7l1fSDd+8wa4cdU8+jRdrrfym78s0ph865YH7xTNPEVQALPzh+gD1b4KFzEyT+9Jo/vebP21HqsLa2FuynvfSVtcO2ygjk3ja6j7XDNjINLCQvuvn4vYounr/SEojRWT6aBkbAmAYpV907Lkv5qBeH9Ce8WGsM9iTGJTOLaEPO68WbJ6aEKh9gEh367Nl1n9TUQKcffvxz9baSqtfXzRmTn2gC/c6f1/1va/HAa35i1ef38dLa8ZHwo3iwR4+OWXvu1qVfOGRWLvnslzekxFKKB+fPK6ZZAqPcDO4dvQYwlt+c/t5r/nTmT2f+nI49z8u1tWAfyfxJhsKbjt3HEoLXvvhVAWX+wFhB/rF7L45k/sJhvPLtpj/fpTK9MtKPTgkGRujMn+dDrMkKGwumZz+23PLd519unl9SWjVOQpYOyuqxK+M8+ctvtmwqKw9DwCz4cfYp9TbOeNkDr4O9l9gSUVdbiweJ4KipOv0+Xlo7vj5XLTzHNNmEnt07dOuzR9e9AGa+ufSH5xhYer8+XYt3zuh0NfnnwfEDa93u4dU48Jo/veZPr/nzamy6rqetBftrXvpyaADcytxJsJWMIQNSdpcSm0OBLnm06WPCEysyQ6b5f1vLQr1MISupLGdIT0sObNwxLXCRm00fXgcD1w6MYdBa8Z316PJ8xtC/tLyq7/aSkNG5Y/KG1JTAn7Qj+92P1i81OMsVkIt/nH2S4zMZ4+HW7/zF06embNpaPPCan1j1+X28tFZ8o24tTg8Htuf8+nvpVVWVZtcduqRt2LtXl305Y9bFDhVVYZmUxIMBzk3OsOWBMwbGfZZfc4p7nfnTmb9YMSVhv2+Lwb7ebl+JtVJWFdx8QvV1aofd+V5muhH4v0CQ9woYrIp+ZpoyLWzKjRWV4Yvevuowxzt+W2swTdiAcllxY/yd8yjdbmJOLysPHxUOm92SkwLrkoPGYg5j5tsf/ZBN4k9CLFs3++S4j8FxAtXv/nXSBzdl2mI8cNN/1bJ+Hy+tFd9RBR/mMsgxW34r3bW8vKpjp47JG3ffuVPXLh2S+kKCm0IajEkZDBi/cxYYe//p+72v6suG7L3mT2f+dOYvEePUUZ1tNdjTGX9G+I9MIuGW4/etuUaN/h8JJBJsYZ+d05fRz37YUj7SDJsjACxenDfMcTbJ62DgyGkuCrV2fEOvfy23tFycZUq5raQ0bG3EYVzm0BpAU8jC9XedZE0PJ+rxO39e97utxgOveWqsPr+Pl9aKL7tgifWer/vl96fC5eJ0yVDSbacOuwJISQ/wNAmJlGTj5deuPPyaRPraa/505k9n/hI5Xpusuz0G++yCJbRRoL8ZFvmRLN+Rt78/1AhY08WrFucN0xs+mmlEOgmme0x6bjoDt84+jDy0BrAiKSV3022jGzzE2yv4TvB51ZYf6mmP8cBL3v0+XlojPpryNZNKi5hEyRuTh50ZiQfBZGMfg7FOlVXmaiHExtYYD3TmT2f+vIw/rupqj8H+qDuX5DCOHEix1Ah1tLJ8ZnB7HhgfStnAN/MOaTdHvXSb8NT5jLPjDIN1F2HxWamourfk4bO/dDWIFAo7/TDafdKz2QDvzyA7CMFWVqWkLE608KNuOcWnQIGvTNtjPPDSAX4fL60FX4dxT3VL68wuZ/aB930yM/ZMSg6slULOoC/sfa9eeGpaWuoMKUSgrKwyfztLfqY1xgOd+dOZPy/jj6u62mOwr/4mWVIIsNrXrgEImZj+7pXDak0TN0VoawmmDfWh+/lPzeEBY1zd35VXVZ6x9eEz33E1kOIs3Jr5i7PLvjZrj/HAS4fo8azGJvE3cOqnGR12ND5mEjU7dnfcMS0tPT0lkJaW9K7B2O+SwTrHz+2XdTV03n8Z1Jk/nflTHZNx27fXYE+bPpIZzwNjvarJk6VmWBa42ezRGjJDjX0YdTnvySNSk5L/R30Im2ahlHKrYRhnccZ2FqZYsalw3Ki4B5ULQ/1h6YKsZijaXuOBV9Tq8azGJPE39KZPZwYMI1dKWWkK8RjVGAwEzt1hh9QunTqlbkxNTfqqJYRfIuK9zvzpzJ/aG6NgrYO9AnmtYFqwsQ+jSNbPNOUrmwtPs+6/jAhCCbl1432n1boUXY2lxq31h2WimI2vXh0P4uMtYqXHszp/w25a/jo3+AD6Urql8PR/Uo3dcp+6kQQhfTEduPdep7x29cCErvVtrBde+1dn/nTmT+2NUbDWwV6BvLYg/qT8YPP9p51aS/xJtnXj/WO1+GsF/lUbvfWtdTxQY9RrcaCGpr51a8AXS/w116xEQ9x7zZ/O/OnMn5t3PAsAbUhIAkDn0V1cxzgI4CEAOwNIBfBfAM831oAO9m6ob53BtHfv3qwuctroEQgaMyVDhQiLR6UUP3DO6e5cPe0bRZbXwV5ttDVoreNBAkiNt0q/j5fWgK9m2teOTeQLHuDn0hrA6GxgvD5SsfM7fyp907aNM1DvA7SFyHqTrqsF8BGA+bbQezkKy2kAjgZwIYAd7XK9tfhLjLf8HgyawrfzxPkfgPN6Y0Nv+PhrrPjdvwB0PEjMqx1XrX4fL60Bn7Xhoyv/hDGWHO0EWgNY8ocYVDL/9C1xOccDI7/z50EXdRUNMOAH8UdZPVrsGvnAPgPAwQCuisJLBxVfAoB2ce4J4Cm7TINO1Zk/tbHu92AQCx+tpWGc72tI2UMIudyvR72oeSl+61j8xV+zJ5Y6HnhCo3eV+Hy8+P7oogh/dNRLamfkcTD6fIOA/Kj8TxS0pPAjHAnwL+mKOQAOt7oJXAHgLQCDAMy1Z/iKAdC6bNO7kdquaoo1G5oH4Byb8waJ8YP46w7gBQCDbYSH2ULvzDqI5wHYH8AOAE4H8LbO/CVmsCcgGHgKVONTo9Pn/Ol4oOZez619Pl4SIV485bAd8nc8gPMA0IxdXwALAAwA8DGACQDo2LEn7J8/4ynZ7aeypmZDaXnc4wA6tzbxNxzARQDOivLjCQBIDNLPdgfwoj2YxC233HKdlHJGXZ+PG1fvqLf2Myx0TzUDMRhoaM2kT0irK/50PPCJYzSMtsuAx/EgjU6yAfAnADp3drX9uU2iZIPN4i0AvrXX+rddYhPXs6ZmQ0lY32VnXynb6tvMX8AeBPbZdMgBcBCAKVGIb7Knhv/P/tlnAEYD2NxQr/S0r9qIa4ffVNUIq2Ot+VOiU8cDJfq8N9bjWY3Tds7ftbYAtI63sR9at08H7pOAabG1jmpe9YV1Q7OhtDeCMq+0h+J9v2f+iMXXANwA4D17Fy+tF3gDAB3N8T2Ac+0p38vp6DYAn9trBBtcL6DFn9rAbOfBSo28xKyhUcYUXYHf/avjgafuVq7M7+NF41NzcQL5Ox8AHbl1El00FSX8aJnXvwG8roa8XVs3NBtKWb5XAJxo890qxF8/AA8CoJ1QtJbvStuttBFkpP3t4AEAu9plbtVHvSRu4CcwGHgCWuNTo9Hv/AHQ8UDNxZ5a+328aHxq7k4Qf7REi5ZqkfirsBHSdDAJPkr0kEjRT/wMNDQbStnV2wFsBUD7Ofaz11bSKSn1Hj9s+Ii/+41Y6syfGqUJCgZqoKKsNT41Kv3On1rv6lvreKDGqN/Hi8bnO/9SkuZZAEcAKI9CVwDgEwDW9Xb6UWKAsqq0Abax2VC6Q7pVZP6UWKhrrIO9Gp06mGr+1Bjwl7WOB2r+0PFA8+eSAVrnR8e7RK/JPwTAr/b6/kh1JAJp44d+3DNAs6RNzYZq8eee08Rb6GCqxrHmr23zp9Y7nfnzmj/9vqkxqvlT409bJ4YBPe2bGF6brFUHAzXSNX9tmz+13mnx5zV/+n1TY1Tzp8aftk4MA1r8JYZXLf4SyKsOpmrk+p0/td5p8ec1f34fLxqfmsf9zp9a77R1Ywy0K/F366sb068e3aO0ITJeLd6YPnpgw7/zevj4/WWLhW/AlFfTV9w2ukEem+Iq/90N3aYdvrPyuU6x8HntL7f1aXxuGUtseb3mT41fPZ6r+fvH/K+PvWXc3tF3zjsiVvPniCZdqJkZaBfi779vf5/DpHV4tPVIyE0izGZPPbr3ypdXb8mBkDW/YwybzLCYffyAHnQFTUKeRAWDm974JjNoGJPAkGkDL2FSzP0ZiOEAACAASURBVL5qRN+lbjrSEL6sf72exTibxBjoBgZIiU1SyNkrbzi6SZ5uef2bsWFu5Esh6HxG6zE45l+b3Zd2KcX1JIq/uMA0YOQE364XLxjKGJ/EgA7VYxJrQlLM3nTvqWvixfHQe+syWTKfBEjL/4yxEmmGZ583tFct/zvBFy8GP9pp8afmFb+Pl0Ti+9fzq+fvvmPqaR1T6cIKQAiJDduqtl6VndnVKauJxOcUQ1Pl/I7Piz7qOuoz0ObF3y1vfjuGM55b3XVZCjC6bobES0m/ndKeNQyDLj+mU3FKIa2raMCYLGEhOTFRmcBEvGyU1WTJpbT7xxIT0U+YYfrUI3o7FrN18VGmD+n8AcZYvboFMHnljJENChbK9IlQ6ccQknYeQYJVMkjapYQgZ4X/yO4Tfeq74/czEfw5btxBwVj4el7wVBYLBGfWrUoCJaHtaRM3PeY+q/po8cZ0URV6QEpZz0cIs+nnDdutxv+x8DnoYqsqosWfmrv8Pl4Sie+hD9fJtCS6dAYwhYTBqz8y1/9euu3qo/eiu1NjPonEF7NxBwX8js9BF3SROBho8+Lv1je/zwdDfwm28JoRmYUkkhAsLQBDRp8dUrenBAIdGWMLj+nXrZCmfoXBrd8BouDY/XosjoPTmCaJeNlue/t7yl7mSCmXXT2iz0yrn0klkxljQyDZwikjMgtjArML1BN//34tm3GeJ6VYC8iZK/4zevOAGYtzGeQYCbFqxYxR0xqq++a3vpsSDsspnPENSEobRVO+t7y15pFQ2DzG4Oz7a7P7HOoUU3S5WPwFB1w8lHM2hIFlMCZXlZtiMVbMbfAqwHjaj2UTC1/Pi5/LZUyOEZDLwtvTZ1F9gY6lkznYEABF6+85pShWG3V//9DHP1rZbSmxbMKQ3WeSGAxXVE1mDEOkZAsnDNmtxv+x8Llt2+/ltfhT85Dfx0ui8F1637tfDNt/DzpwHC+8++X/FV197N9nvrL6297dOvWhDOCZg3s6+vxMFD41r/5l7Xd8XvVT11ObAUeDt7WRFh3sb33r+4WEP2yak68duZeVoYpMA++1Y9quSYbxs2nKyScM6G79rmYamLOiY/ft5vpD2AlXiXjZbn37+3wG9I/O8t3+1rdDJePTJLDq6iN7NyjQGsJbX/wtzmFc5kjBilZcn21xMuC6VzMYMwqllCUr/nM0neRe77lp8XdzTCHHGZzNvza7jzXNe9u76/pVVFa9Cc4q/pndZ08nfNUt0xR/qQdckgOwmmn8iK0Mi8kVK++Ne0rVDc5Y/t3t4gX5YLy/kCL/53tPtaZkaRqYMz4NUqxaf++pjn0VwfXQRz9a/o/O8j28dO1QcMPy/4SDd6+pMxY+N31tDWW1+FPzkt/HSyLwpex/yfRRo4dddfpJh3bd/Ps2TP/X/YukxNKKz+/Of+LjnyRlAD9bU3KckzWAicCn5tHa1n7H52VfdV1/MdD2xZ+d+RMSBf84qreVyYtkAzO7JFemJSUlR2f5Xv5iYz7A+wOi8Nj9eljC0esnES/bbe98nweJ7Ogs321vrckFk2O8y/xh5Yr/jJxuib8Zr41h4LmOMn8G/27aUb0PI7tbFn93Y0jI3ERk/lKyLs5kAW5l0gRYITNlqWQYwzl6UUa04vN76k21eu1bqi+WfyOZP8rI/XTvyVZGrqGfucH20LL1VjYxOsvX0M+c4HPTbmsoq8WfmpdijWe12tWtvcaXMuDSbGYgb/Qxw4adfsrwHU1TYOIlt85jQPqZfz+l89GH7Xs4oR5/0K6OPj+9xqfOmBZ/XnPYGutzNHhbW8eig330Zg9aVA/IdAZmbVrom9HhxWSw4+nfjNHvkC5l9YYGnpyaO7pPx4RMFSYiGESyfJavpNUXWsdYvfBfinw3mz4aWvPH0g1rOpw2etDJ7Ywhy2oqKhtYd5zQmj8ZKn1PCtmFcb6VMfwqTNGHygUDxvR/jMik+5xdP43xF8n6SYmFFZ/fbYmqiCAk3BWf3z3RdWNxGMTyb/eLF2QmsWqRWj0mrYsYLV9FZwPdNF292YNZdQLMznBWb/yQlXLyhOF71GQ9Y+Fz025rKKvFn5qX/D5evMZHWT9aLnPQIYM+veDckTOSghyhqhB+/fVP7LhjJyQlJ2FbRRUuOLSXo89Pr/GpebO+td/xed1fXZ/9KdEWiag17Vu9xm86rfv7q6+yVEhWuP+O6UtFANOrM332Y238sLJ+CVnvR60k6mWryfRFO9Xler/G8GXNeCOTS0yrXg9Z/Ughl6FMzGrq2Jf819YeIQ3zPhKAEbvoaeB4xl8s8SckW1z5+V10j+Rf4k/IzRXF99gbf+Jp1bmNE//SNC/A8jir3oBk8RmVCXTe2l8l7WnePPoSY/+0FMIs0Lt9b5ZTp0519EEdD++qNk7Gi2obKvbtDV/y/pflcSazafZg2vWXXturW4ehAS4hwiYY56iUwA/bKv5z/ei9Zzjhtb3x54QTXablGfBtQFShpqFv+nQMCpOG9aFoiPQ10ef9vbBiUyaDtH4XkFiTqF2+kT4lMhjc+sF3GWa4OrNpBOSmqw/t4zp72RQ+OvLF6ofBShvb5duQ7+jIF/q5mdzxPdWz/hrDRxs9AgafJiUrkUIUCbDNnMsczlimn6Z9o/mhnb/0/xAPbNo0d6xrXzXE9cNL1lt1Ru/wjS6XyPGn8t4mylZn/tSY9ft48RpfZNo3EkeIvWOPP+xhIQTvnLHT6seuOsbVRjWv8al5s7613/F53V9dXzUD7Ub8+cnhfn/ZWjO+lP0vzWe1srzVnvfTho+WHot+96/X/Gjxp8ao38dLIvBFpn6jmZNAaYW5LRcrHnN1wH0i8Kl5tLa13/F52Vdd118MaPHXAqPB7y9ba8eXfMBlYyDRi0F2Z0yu9NtRLy0w5Go16Xf/es2PFn9qjPp9vCQKH2UAJWf9GUQHyfjKSvPPxW6FHzGfKHxqXv3L2u/4vOqnrqc2A1r8tcCI8PvLpvGpDQrNnxp/Xltr8afGqB7Pmj81BrS1HxnQ4q8FvKKDqRrpmr+2zZ9a7+pba/Gnxqh+3zR/agxoaz8yoMVfC3hFB1M10jV/bZs/td5p8ec1f/p9U2NU86fGn7ZODANa/CWG1yZr1cFAjXTNX9vmT613Wvx5zZ9+39QY1fyp8aetE8OAFn+J4VWLvwTyqoOpGrl+50+td1r8ec2f38eLxqfmcb/zp9Y7bd0YA/GIv6EAllVfTmA9yQAGA3jfLzTrNT5qnvB7MND4fOVfHQ/U3KF3g2r+FBlQM/d7PFXrnbb2Qvx1AkB/1gOgK7oq7UrpQNmno24VaHG2tfhTc4Hfg4HG5wv/6nig5oYaaz2e1YjU/LVt/tR6p629EH9TANzaSEXrAOzpF5q1+FPzhA6mmj8HDOh44IAkJ0X0++aEpcbLaP7aNn9qvdPWXog/qoMyft8CuIBupLIrDQN4F8CPfqFZiz81T+hgqvlzyICOBw6JaqqYft/USNT8tW3+1Hqnrb0Sf1RPTwA/AUgCwKMqrvALzVr8qXlCB1PNnwsGdDxwQVZDRfX7pkag5q9t86fWO23tpfibAOBmAN3qVBrP5pGEeEaLPzVadTDV/LlgQMcDF2Rp8adIVgPmOl6pcep3/tR6p629FH+/AfjUnuqlKd/IQ4LQF48Wf2pu8Hsw0Ph85V8dD9TcoXf7av4UGVAz93s8VeudtvZS/NGU794ASv1KqxZ/ap7xezDQ+HzlXx0P1NyhxZ/mT5EBNXO/x1O13mlrL8XftQDoeJf/RR33QvW/4heatfhT84Tfg4HG5yv/6nig5g4t/jR/igyomfs9nqr1Tlt7Kf4ihzvXrVOv+XM4zvz+sml8Dh3ZSLF2xp+OB2rDRYs/zZ8iA2rmfo9Xar3T1l6KvyMBRK/1i9Stb/hwOM4S+bJdu3D1EYwb2QRFCnPxTWP2fcchrJpiXuM7ae67/ToGU8ZzKbtuL6t8+tlJh7vGFN2HWPh6XPhcv9RUPt6QZlch5GdlJeFFGx8+fYtbHqLLj5z9/lAG3qu8yuy4bWt5v+3bSw2Dyc++mzX2obr1NoTv1lc3plegZIhgojuTWPPv0XvRLTkt8sTizyUoHQ9cEuZkvChW6am5x+PFU2yjb3v3reS0wJFCsIqqqvBDr105/FJPG/CgMj/zR93zOz4PXKCraICBeLN1gwAcDOAeAP0AfKnILk0jF9rHxywFcHED9eUAuA4AYZ4M4OXG2myv075TF62eU1pljovmJT2ZF958Qr9/uvGPl8Hg7PuXTunaJfWygMFSIhhKykLFD5xz0Gg3mJyKv16TnpuSkpJ0Geeoac805dat20JjN953clzj9OiCJflg6B8OmztWVoYHSCmDlRWh8JbN20qYYWz4naeMKplzXI24rMvfjBe+yeRJjKZHu0f6IcHWpMkO068e3aPZ18566V+7PzoexDuYW8GHbwLGiwJbf5mOmbtMJAcDNZ9hQkpUlFVsf3HSYXT7jG8ev/IXIcjv+HzjyDYGJB7xdw2AWwDQuX6pAD4EsBDATQrcvAlgKoCPAMwHQNmUaHG3I4AltuBMs4+a+ZsWf38x8M8Xvjz/z0oxkwOVycHgJ/SbylBokACSOwTkJTedlPWMU/94FQwo47f7Dp1fIuG3vTS8wjTFLx3SgkMDAdbltz8r5z86YfDlTjE5EX+U8evaOeklxlhqZWXoewCbAwE+IBDgaVWV4oNv7zzhVLftHT3n/TGQPBdMlm7ZUnKUMEVqhw7JlUbA2P7H76Xyzz9K042kQPEPs0+pEbN1+fvPa98WMiADkGsljKUM5lCA9QKw9N+j+ua7xaRa3iv/2jh0PFB0iMf+UERT39yP+E64a0k4NTXZEEIgFBJ04qwkIUgCcPu28nv8lAH0I39O4qnnA0lX6CsG4hF/tLvvJACLAXQBcAyABwHsGmfPggC+AtDbtj/DFnlXRdV3uv0zulIq5tMeM3/XLPx6QXkodGh0pm/qC1/eWFopclODwQ/+O2Zvx8LHq2B1TuGyG3fqmppLwq/w3ANHkePOnLvs/O7dUmeWloe/v//sAw+N6cwGCjSGr9fk525MTUm+pLIyVLlta9nHZJqUHNy9c5e0PmZIfPf17cfv77a9kQUfTGeMDdm6tfSLjb9sPY8Zxta998m4hgRhRSi86odvN9E5d1g/d1yPSN3R+K5/fXUWZGCmBDZfN6pvLpW57tXvMgwmKdONf4/qO8YtJtXyXvnXxqHjgaJDPPaHIhp/i7/OE57ITJLGpOGHZOYZhoEtW7ZV9kkTyQuWbxgwfGjfYhKAZRUVlS9eemhN5t9zQlxWqP3rkjBdvFkYiEf80blefQGsscUffYAvArBDnIhpKuwFAINt+8MAXEI6Iao+En272QKTDpf+N4BG1421R/F31bNfflAlRO8Oyey2m07Y7zbiLpINTOJ8xe2n9LPEl5PHq2B17kMfz9mxc/K46CwfZQMzu3V5MxyWW+ecMXAfJ3jqlmkMX+akhYUpacGzy0orfyndXv4mGEo5N7J27NZxmBk2f//6thN2cdteZMr31y3bl/y6ZdtkbvDv++7d/SoGPk1Kuezr1b9Y2UsH4m/VdaP6Tou0f/1r31K2vC2IPx0P3A6qOuW9et8UYTRq7id83c4rygdY/8OH9T6Rc46vv9v8TZ9ObK/3vtlaeMigXhOSUwK8vKIq/MKlh1BSwRePn/hriBC/4/OFE9sgiHjE3yMAjgVAU7GrAPQH8BiA8+Lkp674Gw7gIgBn1RF/tInhRAD0Af6Wfc+wvOWWW66TUs6o2/a4cbWWvsUJ7S+zDRUMW0OAkAwpXGK3NCCJN7bRUbk51xUs2Wjii19D6JTMMXwXw7J/7xcT2yoFDsgIYlBG9c+a8/n05wqs+EMCUmJwBke39ADeX1+BbaaBIEyc3b+Dp3AKFv+Ed9aVw2DApOHdsFvXVMx+6xf8sC2MNAN4/G/0ncXd8/EvFaA/MAUWF2+wjLN674QOqUFs316KFWu2Wj979mJatlr/2V4lsfz36p/37gjslMLwU6nEz2XVPzuiRzyvoLs+NFS6d+/eXjXcLuOBugd0DW4ZoBi86MutCHCOr36rAjcMVFWGULG1BOGggc5dOsDgHLyqEvmjapbXum2mXZb3MB60S/5aY6fj+QCgdX60eH2kve6PMnCUaYp34XoAwLcAaA0UPbSx4yAA0VO859hijzZ80EM3jNB0c4M7OL3O/M35YM10ztiQ2g5mJVymTL740B6b3To+Ed+0rn3p234l5ZW0drLWk8TZhttP2e8ANxi9wnds/vJufXob79Eav7rtr9+47ZKnLz3M8TrEaPvG8O00Yd4FO+7Q6XYeYCaHrL5rWjIuGTpt/aPk41/uG0dfLFw9o+79IEOGmDVFW1ZWeZgQktacIhQKm5s2/Lmd/h1IDsxfW3BKzfrFBtb85bPqL0m1HgledN2o3kWuAHlQ2Cv/2lDaXTzwwAW1qvDYH17D88VuUIrBkGzYT5u3H8Q5C5sIVP3we2kvKWt/hNEawAUTB8fzueY5b5EKtX8TRq2uWIGBeF8SWqdE01a0roLW/9GBzyrPawBuoGQVgOcBzAHwBgCaFqSF+5RlXACAjpXoam/+oDROg6k3J+Lv0eKN6QiHhzAhuktulCBgLDt3YH0hd+d732QmGcFZANtsClkYZKlrBKvMAUS2kHLZ5YdmznTb8UQFAzrmpcqU0wXk7hwoDwYCxczgV990XF9Xx5x4iY+meXdK7XBDcpBlBgJ8h4oq86ff/yy7PV7hR1w3hm+Hv88bGjR4fnqnlN2CBq/gnHUKh0WorKzy96rK0BtbHs6pmXZ147ORd76XCc5zTCH3rayo6l9WWtXhtz/Kkjjkeh403lo76+Rau6nr4qNjXspY6RhAZDGwXhJyLQeW/mtUX2vqt7kfL/1rY2/18aC5fRDdXgL84Wl3WhIfxemKiopRkPgnB/vz2ffXBL9et7X0tBF9vxTcOPm7LSV7MoBJKREypawsr7rXT5s9mopXnjpJobKW9K8CbG2qyEA84o929V5hC7/OAGje63r7GJZ44dBxMbRpJBnA2wCutCuijSCUYaRF5RMBXAiA5i/pw/bFxhqLJf4e/mR9VoCyl1LWmndkUhacffAetJGl5rl7yVrKROZIxhZedsieVgbo3g82ZghWXsgk23TJoXsSLleP31+21oyv23lFBfZO2lo+kUwW/vpQTrOIrdbMn6uBXF241ceDOPrsqUk7Gy+OuXu0eGMGC4VmmlIcKCV25WAb/yyrrPz0qy1pH3yx6edx2X36l5SGzJ9/3Lz7e9/8MXvLwzl5jitvxoLav81Itm7KMQPxiD+a5qQprki272QAcwHU7HZ03HqCCsYSf499/COJuAwm5VrJ2FLJkMUk+oOxEhkMTjx34F9nr815f80YzlludJZv9vtrhxoc0ySw6rJhvVxnk3QwUHN8k/yd82h6t0BgMsBrpuklRNGvD5/ZbNOr7cy/rT4eqI1Gdet2Nl4cE/bYJ+vzIGW2KWSXKinTA9z4Ichk8I/Syu6vfvJTVf/MHfv++mf5tq5mRd+57/zWveSxsa6X4DgGo1BQ+1eBPG2aMAbiEX80hXgCgMgNBcPsqVraheuLx4H4szJAMikpJyL0IoIwzNj08wbttjLSEcrymSgvYAzpUrCljMu1ADsRsLKGRZcO6+VaVOhgoDZMNH++4q/VxwM1NtWt9XhumMPHP1pXIBnrVS7Z7VWh8EUUg1MDRogzuWdIoKIiJLZyjseP6S6e9POGBe1f9XdE1+A9A/GIP8ry0dlmX9i3bdBCdsqk0Q5dXzxNiT9aQ8Kqqoooy3fOoN1qjpOJBJq64o86dNeSddmQIpeCT6SD8a73I3sdDNSGiebPV/y16nigxqQ31no8N8zjYx//SF+s02VSUu620sosisEpAWNfg8keISF/rjTFM7TmWvOnNg79zp9a77R1YwzEI/5okwet+aOjV2j9Ha2Rux1AuV9odpD5s6Z9IcRCmZKyEOFwfyYEXRmHEOTkCYP3oDMMaz2UAQzLsqGcs/QqM7TsiuF71SvjtP9+f9laNb5Rt2akBowce91fBmNsrRTmovKXr6JrA5vl8ZK/1EOm5ghgiPXFQ8i1FdwsxJLblKa3vMRnr/1t1fGgWQZFE4147A/Pu9Ns+IZf2y+ZJ98AKTOZlKn799896bQThvzQvVun52VycpEsqzhIBvhkQO4UCodnTjykt3VaQLPhi5NZjS9O4rRZQhmIR/zdZx+yvCmhyBQqjyX+rA0fUtbbpSuBZecO3t317l23UHUwcMtY7fKN8jfq1vS0QGBW9B26EUspRX5zCUCv/JsydOp0xlDriCEJlFSw8GQVAegVPpvbVh8P1EajurXH/lAHVKeGZsF3wLXdUjoE32NS1hwLlZaWFOzZo2vqOWccsbR7RueSKFibzxm8u3VbjhZ/6u5uFv+qw9Q1eMxAPOKPMih0t++zHmPxrLpY4o8aIgFoQOYwiV6SYS2TWCmTkhZGb/bwDFBLBFMF8H4PBo3hSznm9mzOeR4gN0spC8tNsYaygAyMstSryl66wvXmnHho9IK/lMFTM1kAs6RkpYKJ/CpmbkqWRg4Hy5YSyyqW3hz3lxQv8EXx0ibiQTx+9srGY394BaumnubAl3zkjCk8bE6RDFtNFrg1JCs+pCxgh2TjyD69dv7zstxRy5iUmyXna2QwWBR9LFdz4FMhVeNTYU/bJoqBeMTfqwBG2AczW4fc2s/QRIF0W68T8ee2Ti/L62CgxmZj/KUed2cOA2iadGHFS1dYx/Jg1K0ZaYEA/XtT2UtXuD6WJx6kXviXpnvtA8+Lyj+8uXpT0bApGakyUCgZNlUsuTnuvniBL4oXHQ/iGSRRNh77QxFNffPmwJd8+Iw5XJjjTB54perd6/5uoRh+bb9UGXhTMra14r3rG70KsjnwqZCq8amwp20TxUA84o/O4Qs3AIjO4/PFo8Wfmhtaa7CqEX+UGXv5Ciszlnrs7UMZ49PoYOXyl65slnPAvOAvIv4E5OLKD28poL4Eh1wzNMD5NCGxtnLpzXH3xQt8USNMxwO1102vWaMDXm3xJ7mxouLdGdY95MHD/3N+QIRnSs6/r3j3P3SHfIOPx+NZ0ZstI55VQPudP5W+advGGYhH/PmeTy3+1Fzk92DQ6LTvyDszeRJozR+ElEtpswfdB82ADhJycflLV1oiKtGPF/xFpn2tvkAuZpKVgmMIk+geLQjj6YsX+OJpt6VsdDxQY745xkvgkOuPCBoh6+xYyXmxAN/ApTmU1gAKbsyvfHdGzfWJdXvTHPhUGNT4VNjTtoliIB7xlwlgNoADAewC4L/2US/fJAqk23p1sHfLWO3yrTlYpR53R569xi+qU3JzWdichteuVtol65RVr/hLPuQfebTGL7pdCbm5gpnTfLThQ8cDpwOjkXJejRdFGI2aNxe+5CNmLOCmWSvDF50JbAxgc+GLl1+NL17mtF0iGYhH/NE0zx/2tWsdATwCYE/73t1EYnVctxZ/jqlqsGBrD1YpI+/MZEn2Llkp1jbXLt8ImV7yZ2cArR2/YSHWhpb9V/nIGi/x2dcx6nig8Mp57A8FJA2bNic+ygAaQXEaITFD/Onwh/9+J1aHmhNfLCwN/V7ji4c1bZNoBuIRf9sA7ADgVwC0LZ+yf5T1q3VPbqKBN1W/Fn9q7OtgpflzwYCOBy7I0uJAkawGzHW8UuPU7/yp9U5bN8ZAPOKPbvZ4EsC1AM62/+wLYD+/0KzFn5on/B4MND5f+VfHAzV36A0fmj9FBtTM/R5P1Xqnrb0Uf8cAmAegs13pnwDGA3jFLzRr8afmCb8HA43PV/7V8UDNHVr8af4UGVAz93s8VeudtvZS/FFdNO07CEAFgGIAJAB982jxp+YKvwcDjc93/tXxQMElejwrkKevd1MjrxXwp9xBXUGDDMQz7bsTALoHl3b7CgC0AJ12/9LaH188WvypuUF/GGn+XDCg44ELshoqqt83NQI1f22bP7XeaWsvM39vAjicvjDQOZwAegFYBGCMX2jW4k/NEzqYav5cMKDjgQuytPhTJKsBcx2v1Dj1O39qvdPWXoq/rQDoKrev7ErpNHa65zfdLzRr8afmCb8HA43PV/7V8UDNHXrNn+ZPkQE1c7/HU7XeaWsvxd9CAFcD+Nqu9AgAVwA42S80a/Gn5gm/BwONz1f+1fFAzR1a/Gn+FBlQM/d7PFXrnbb2Uvx9aK/3WwWAA8gCsNxe/0ftUFawRZ/2Kv7OebQ4PQwcxaQgn5RKxlcWnTuQpuVcPU6DQc7TX++TETDvY1Jax/xIxr7YHDYuLDpt70hW2FW7Tgs7xee0Pjfl/lZUPIUzHMIY724K87OycnH9/AkHbomuoyXxOemLx/h0PHBCehNlPPaHIpr65k7xnfnEqhHpQTlPmGJHqoUb/LfSEBv/5Fn93/IcVFSFTvElEkNTdWt8LcW8brcpBuLZ8EEnroeaqHRkS1PeHsUfCT8hxQOSydqHbUu29Mm/HZDvxidOghUJv12TxUomrS8ANY9kED9X8qxECkAn+Nz012nZ84pWPGJw0NEm0R2uKK0K/a3o3ANrbiJoKXxO++ExPh0PnBLfSDmP/aGIJj7xR8IviZlvSshaFTAwVEnjqEQKwLbAn+dOc1Gh3/lz0RVd1AUD8Yi/HAAv+e14l+g+t0fxN/6R5WM4Ry5l/IRAEfHBOchX6UKgYN7fD1zsdFw4CQZ5z3zxXlKADxMSMmwKyv4gYPBDOAOrCoslBWP3G+60PbflnOBzW2es8mc9/kW/1KBpZVFNgVfCIrQwwIMXGRwDpGQbHhyfdUCkjpbAFwt/9O89xqfjgRvyGyjrsT8U0cQn/iYWFW+pknInEntBZt3+hJDETiQGkxj79YGcgd08B2ZX2Bb4SxQ3Tur1O39O+qDLr/xmCgAAIABJREFUuGcgHvG3AcCJAD5x31zzWLRH8Zfz6KfTGdgQIVA47+8H0jos1AhCxhY/ec4BBU7ZdxIMrnj2i18DBu8aLfQigjBsij/uPGU/OgIkIY8TfF43fM4Tn45NDgTvkVJueHD8QEvojXtoebfO6YGV9O/CMwb0aKfiT8cDxcHWEuPZDWQn+M4vKg6HpTSihV5EEAYYMx/MGRhw06absk7wuanP67Ian9eM6vq8YCAe8XcfgNEAXgSwPQrEVC8AeVFHexR/Zz72WR6kzK4j/rI5Rx4SIf6eX/1TgGHnBsWfxIY7T9q3pxe+bKiOlgimf4m/v7J8WvxZ3tHxQHGgt8R4dgPZCb7z/7eiKmyKYIPiz+ChB88YkOSmTTdlneBzU5/XZTU+rxnV9XnBQDzijw52pj91n4R9s3Pb0fYo/sY/stwSekyyEsE4TfuWcilyaQ1gIqZ9L3t65aLUpMBxtMYvZMol5KOgwYbRGsDyqvBLd52WRdnhhDwtEUzrTvuaYO8GmDyDMwyUEpUPjh+wR6SzLYHPDdEe49PxwA35DZT12B+KaOqbO8F3flHxD2Ep97CmfQN8M9USCosMmvYNMLbuwZyBe3oOzK7QCb5Ete2kXo3PCUu6THMzEI/4I5vaq3qBCQAeam7wjbXXHsUfcRGZ+o3mRUIuKzr3oJlufOM0WEWmfqPrTvSUL7XlFJ+bPjsp2+CGD+tDTk7/v7MGPthOxZ+OB04GTxNlWmo8O4XtFF9k6je63kRP+bZkPPCaP6f1eV3OqX+9blfX17IMxCP+aOFuHoBdAZB9JwDHAUhp2a781Xp7FX/EgJUBNFh/+rcw5So3Gz3iES+UAQwGA9YauFAo/FkiM37x4PN6TP7tieLzucGPY5A9pMS3tPHjsbMOeia6nUQE052nL96jZyq7D4ztJ4X80awKzfnshtHz4umfx/h0PIjHCVE2HvtDEU1987r4DrzhzbkGY0MBliYlPv25wpy6YWb2OrKkDCA428WqRchfEpnx80M8cEJ2a/Ovkz7pMq2fgXjE3+sABgNIA0Cn+5P4o0Of5/iFjvYs/rzwgQ5Waix6zd8B/3p1fCAlqZA2VEcjM015+/J/HzXdLVqP8el44NYBdcp77A9FNE2Lv0E3vvktY2y3OqXCP5WJ/SIC0HMAMSpsTfw1NzdO2vM7f076oMu4ZyAe8VcGgL7Z0fleAynZBGAEgAvdN58Yi/Ys/l4t3pheWn3fMt23t3b0wB6lbln2ezBob/gGz3yL1lB1klKuFwJPcYMfySAPAhD+ePqI2uc6OnC2x/zpeOCA86aKeOwPRTSNi7/sO95/JMUwcqpM0/ytpOpOxtCHM34CmDSEkM9/+q+jzvC8cQcVthb+HHSlRYr4nb8WIaUdNBqP+PvFnva9EcBkm6MFdibQF5S1V/G34NOfhjLOJ0nGLEHApCyRQsw+9aCeS904xu/BoL3hGzzzrQry309lYu9IdiUiCM1QeOryGUfPakH/6njghvwGyvp9PH/73fdyxfbUiWt/LZ1lCqR2TAl8371T8vwOnOdPW/jlQ5yzk+iLySf/PKqvIhVxmfudP40vLrdqowQzEI/4o/V+ewOgb/xX2fjeB5CwQ33dctAexd+Cj9dlIphkiQAJudYSf2BWBhChqsmnDt5jjVMedbByylTD5bzmr0Hxd+NbW8GQ4gPxp+OB2nBpsQ1MTmF/9NU6ub4iadHXG7eN+L2kKnXnLqk/77lTejGkXJn/wld9tPhrmkmv44FTvzkt53d8Tvuhy7ljIB7xRy2kAqgEcAKAzgCeq3PmnzsUHpdul+KveGMupBwDxhaeOrAHrQ/DggZ+5oRqvweDpvB1OOXRDM6r6NaJXmAsQ0KsZQKLtj0z0VX20wlPjZXxmr/BN75dSlNrkOxHIcRdjOEMxhlN+6IshJFfzBhBX74cP17j0/HAMfUNFkyAP9QA2daRd+m/Fw+ftb3S/LHonW/LZWqHPQNJPDz+4N1+SwoYxqLPf+76R1lIT/s2wbhf/RuB7Hd8ngxmXUk9BuIRf9c0cM4f3fX7ub0OMB6as+iSBAB0ECh9SF/cSCXpAFYDuATAC4011C7F32e/5IOx/jDN/Mg071OfrM8yAoGZkHLVqQfsMs2pY/weDBrFN+rR9I6dqmYxhu71+mrK/OYSgF7zd+D1b840DBbJstd0TYJ9+sn0Iw916tcEBXsdD9w6oE55r8eLIpxqc/tdSk8J7jL1rMHHbSsL/3zb/z5Z3aFT2ojuu3YLZ2dlBLp1TGHvfLUlvGV7VfincrOf3vDRMPO+9G8UVL/j82Q860o8EX8mXRvbCJe08zA/Dp7pzlS6IeQjAPPtMwNfbqCeWwEcCeA/WvzVZufp4o05TMocSLm0A+fWVW4lQtDtHkMlY0WnDexh3ffr5PF7MGgMX/pphdkGQ54UcjOTKBQyeQ0PWFnAbCmxavvTuY4FsBOeGiuTCP4OnPH6ZB4MjmPA7pD4zRTixXh2+hJmj/HpeKAyWLz3hyKaavPod+mRf2SfH+LJrz728qov31v5c9ZuPXfY5bxj97MONX/zy81vf7a54tKWEn4JGM+e8BddicfvW7vD53mHdYUWA/Fk/kjgkfija53I/lL7/8UA7gBQ9xiAWFQHAXwFoLddkHaMHRy1njBiT2fX/RPADwBomktn/qKYpV2+JVJS9pSyo9FPaQfGct3s+m2twarTqQ/kgLMcKbFw+9O51tS3NXUVqCqUEpu2P507MdZg9OL3rZW/OPuu40GcxEXM/Dheot+ld2aOfGBtefKiUFgkfbPut/6pKQEzc9euxbS2+LT9d6E1ny36+JE/Lf5adEjoxh0wEI/422KLM2tTAQDa4fUugH4AaOcfrQd089AUHQk5OjuQnsPsad0zoyohnC8BoA/vy7T4a5he2vQhg8G8mo0eUq5COFToZrMH1dxag2nkA0sIuaxkwUTrVpNOYx8YCoNNg5Rrtz09sVk+qForf25e2qiyOh7ESVxrEH/0LhX/96gbPy9JP+mPbWWX/fpH+YCUZGPbbhmdnmaczxo7sId1lVtLPu3sffOcar/z53mHdYUWA/GIv6/tw2ZpWpaueTveXgNI17udCsBaiO7iqSv+aNfwRQDOiqqDro/bAcBtAG6OFn+33HLLdVLKGXXbGzdunAsIumhbYGD9b2W4/YXvra70360jeu6QindW/4byKhMH9+mKMw/t2Ra66UkfevfuHc+731DbOh544hF/VVL3XdqhQxJWrd+ObeVhjOy/E47Zv/6yWn/1QKNxw4CH8cBNs7psCzIQzwfAUAB32wc8E3Sa7r3cPvj5J3vDhpsu0a0F31q7M6sfWqNFAnJKVCV0jiBNJ9Ml8vT3dgDnAPi4oYba44YPN4THKuv3b4JN4es0rpCye9nRfaQ1gFIkTyt59txmyVK0Zv5ijY0Gfq/jQRykRZv4dbxE3qUj9t3pxHdW/7qIMEdn1RW77Zm5X/mLdFDj88zVuiIPGYhH/EWaj2z6IEGm+rwG4AYA7wF43r4q7g0A+9AsJJ1UF9VArcyfFn+q1Ne3b+3BKuXUezKTEBxi9UxibXPt8m3nwV7HgzhfRT+/b/Qu3X7m/t9f++QXZ1YhtKxiwSWOzwuNkw7XZn7mjzqj8bl2qTZoBgbiEX8NbbSgemj6N96H1gs+CCAZwNsArrQroo0gI+lyAy3+4qXWvZ0OVu45i7ZoZ/zpeKA2XLQ40PwpMqBm7vd4pdY7bd0YA/GIPzrPL/LQ5g7apUu7b+kIFl88etpXzQ1+DwYan6/8q+OBmju0+NP8KTKgZu73eKrWO23tpfirW9cRAM4D8He/0KzFn5on/B4MND5f+1fHA5fu0ePZJWF1imv+2jZ/ar3T1okUf3Q0C63ZS/MLzVr8qXlCB1PNnwIDOh64JE+/by4J0+JPjbBWxp+nndWV1TAQz7Tv1ij+DDpHF8ASAK6vmUqUH7T4U2NWfxhp/lwwoOOBC7IaKqrfNzUCNX9tmz+13mlrLzN/s6Iqo3P+6GDnRwDQYa++eLT4U3ODDqaaPxcM6Hjggiwt/hTJasBcxys1Tv3On1rvtLWX4o/q2hnABvtWDjqf79k6x7G0KONa/KnR7/dgoPH5zr86Hii4RI9nBfL0USpq5LUC/pQ7qCtokIF4pn1vAUCXet8O4EMANPVL9/zSrRy+eLT4U3OD/jDS/LlgQMcDF2TpzJ8iWTrz5zmBfo/3nndYV2gxEI/4+w3AcfZNHIcA+Jt9OHM3v3CqxZ+aJ/weDDQ+X/lXxwM1d+ijXjR/igyomfs9nqr1Tls3xkA84q8UwO4AFtvTvZQB/BVAil9o1uJPzRN+DwYan6/8q+OBmju0+NP8KTKgZu73eKrWO23tpfh7C0BPAH3sNX9jAYy27+P1BdNtQfxd9ExxRqgKGURoVRXWPnbuQPqQbfS54rnVWUZA0gYc3HZCv1UqjvA6GJxfuHyPoCw/ycIkzc1zLzh8np/wucWy+8ULMqVkaVXA5k1zx9a7L9gpf+c8U5yR5MLHI+csyeJCSiFE2RtXDI/7mi2n+BzyouOBQ6IaK+axP6xmzir85EMwYcWDJ84/eJgKxETgU8FT11bjU2PT7/yp9U5beyn+9gSQB+BTAI8DmGpnAT/2C82tXfxdMG9VLpgcE+FTQpZIKWcXjh+4tC7HVyxYkckDgUlgLPOv37FNQsjZd56878p4fOJlMLjg/iVzRTBwNgcLRLAIM7xFIvmwB3MPXNfS+Ny03/2cV9OTOpVPY0BWTV+AhaFtqUWbHhtdI86d8Hce+Rh/+RhSlkgmZz/SgI9H3vleJgsYk1iUjyWwkpWn5b92ddNfChrqnxN8LnjR8cAFWYn2R879S+d37ZJ+WiAQuWoZIAn4xx/lS5/IHUTLdFw/Ho8X1+3HMtD4YjHU9O/9zp9a77S1l+LP92y2ZvF3flFxtsE5iWsIYC39zQHaUY1wWE5+6KwBtTI+Vz6/Op8x9KffS4lVjMoypANs0+1j9pkYj7O8CgYXPLj0MHDjDasvplkhgZBhGB0trKHQ2w9cMOyYlsTntu3dLn02n4H1l5JtBhObAdaLAekCWPjT3ScXRuqLxd/fioqzOav2MWS1j8GqfczM+j4+es6SfMZYf0iUSsi1DCwDDBkkAF+/7JDpbvsRC5/b+vxevjXHA7fcXvS/FTIpSHvwgKqQiWDAAGPVAvCuU/eLZ5mPnpZ264Q65f3+vvkdnyL92rwRBuIKBn5nszUH+4lPrcxjEtmQbOH94/tbgqImExj1s4gPrlq4eqElGsLB3NvG9rGmIK96fnURCUAhMD2e7J9XweDC+z/8n0wKnFQlZeX67eF3CFvXFGPADqnGrqIitLFw4iG7xTOWvMLnpm2a6gU3ZpHwq9qekkeZvsjPqJ4f7z65JlMbC9/f563MY0A2wBY+bPv4r0zgXz+L4Bt114eWj0UoPJmme0fdWpyOlLICEoCRn7npSyx8bupqDWVbczxwyi+NiXDS9pz+u3V9gGzWbtn+VVmFmGtUpRfunRkoIQH42+/xZf/8Pl40PqejpOFyfudPrXfaujEGtPhrgbHR1Ms2sag4n3HeHyE5/f6zB1jTtrnziodyxqdJIVY9kDNwWgTylFeL02VlUhGAktvH7Htm5OeRbGBLi7+J9y95hXVIGbm9XPy2ubRqGZgsTTKMnrt3SR0mQqHQA38bFNcmoZYIVj0vey6LS8yUkKvW331KjQ92u/S5Isr+VW5LzYlM/cbCd15RcT4Y7y8h8iPTvH9/fEUWC7CZkGLVw1E+toRealmRlKzk9cuH1vg4kg0UUk5/4/Jhrqb3Y+FrgVcioU22B/F3VMGHuUYA5+27c6dhtNDvy5/+XGSRyrC4b0aHWZQN1OIvocOs0cr9/r75HV/LeK3tt6rFXwv4uKmXLZLlE8DSykpRQPCSk3keB4YKsKLCM/qT2Kt5Ipk/CZl/x5h+S6c8812GDISsjGF0NtBNN70KBuc+sOSZ1PT0k0zTDJWWif2LLhz01bmFy75LTUvpVVVZVfrweYM7ucEVKesVPjdtd7/omYxkg1u8VpoilzZ67HrxgqEGN6ZJoHT93SfnOMV33pOrcsBljpRYaoaqfWwEeR5jGBqdDYzUN2rOh3Ym18x/Y9JhS0fd+0EGzGosOvMX24ttXfzReDBDzBoP+/XsfCL9/dvW0p82loQ/S0vmfXt167gP/WzzbxX/mTfxoBmxGatdoiXeNzcYNT43bNUv63f+1HqnrRtjQIu/FhgbTYq/x1dkIchm1oVFAqOiUuTW3fV71fNf5YHJbLt8iX3XMsDkwttP7FezDs1NN70KBsfeveyynl2SZjFhSoSlSRgkB+PBpMDGP0qXPn/psLjug/YKnxtOqGzPS5/L5YA1vSsZK2FS0r3W9O/C9XedZE3N0hML3zmPFqcHk3ihBK3NrP3IsJz+iJ3xjfzm6DkfjmEMuVZbkpUwVt0uze69dtkh1WsHXTyx8LmoqlUUbevi7/A7lmQFA5gJiVWZGenXpCYHrEV/lAGMBPiyilCo8Mz9k+JxmN/Hi8YXj1f/svE7f2q909aNMaDFXwuMjVgvG03zMsZpXZglDmi61xSssO5mD/qdNfVbkUy7gyMCUEn4OREvTikbMef9MV0Cxswd0pL6GkJYZiak+XuFuWZblVy0OG9YzfSp0zq9xOemTSpLu32DncpzagQgUArGiqKFn1N8E55YkSk5y6vZ6AGUCoiChnb7Up2WAARyqjfzkAiUq1hAznrt4kPrHTUTq1+xxl8s+9b2+3Yj/iA3dQkkv7hD1+DTEQFIvlIRfk7Hc0uOCb+PZ42vJUeHbluLPx+NgUQFAxKCt412f/RHXWq8whc9HQXITQHGK8JS0tWAlJUoenPSsFpT2E5d5BU+p+01VI6EYPTxLtFlEomP1gDGc7xLc+FT4TRRtm1d/NGYMJNKrQ1A9J7RDC/AsrjBdhRh+U68X7Ii/kjkePbC5xqfGot+50+td9paiz+PxsA5rxanP6YosFRetlGPFqe/FuPAZ9WuquCr2/aIgiXZnMtcSFYzxSmlXBao6jArXhHjJT5Vrhqy9xO+W4s3pl89sEetA8L9hC8R/Netsy2KvzNf/HKPJ4/vV3NOpjX1a4AyydbB8NWPXGsEMTOe7HBr+rLg9/Gs8TXHW67bcMuAnvZ1wNhlT63IkkZgEiC714RVKYvuOa325gsHVVlF4gkGx81ZkmVYhzmjGoOQSys7pBQkQgjGg6+pvlNmosIotQ6hFswsfV/hdop4+XPqGy/Kec2fW0xz3vk+ixnGJEh7vDK2SZrm7MuP6G3tCm5pfG77o1q+rYg/Enzdq/Ak4+ygmjgEfLUpIE+KCEESgV69Z5E2/D5eND61N8Tv/Kn1Tls3xoAWfzHGBmX6OpcGH5D24v7o4gwovOvU/WoW+jsdZm5fNkv4BQMNbQJZ88JFB0922q7Tcm7xOa3Xq3IaX+NMUqYvZVvFAwz2ZhSgNLJ2NITQ5CuG77XG7/x5NU4i9bQV8Xflc6s/AIMl/KSUJmOs+jRnxr66Y8w++3vNmxZ/3jDq9/fN7/i88YKupS4DWvzFGBOXzv8iGxx5dBODyZNnzh3bZ/OlC76MXM216u5T93O9acHty3bCPR/lM47+tIN30YVDCkfdW5yRjMrp1mYBIfIXXTK03rVvKkPdLT6VtuKx1fgaZ+2ud9dlgwnaAby2vFPqNJryvev9H3Ih5Ri6Aebyw3tN8zt/8YyJpmzagvi75KmvD0tJFtZtORWVfOQ9p+/9ft4zX8w0DH4V/eyOk/aN68xMJ1z7fbxofE682HgZv/On1jtt3RgDWvzFGBuXPL06hzGRIyUvuue0fa0NChc9812GISsLGWMld43tV3PwrtNh5vZlO+Hej4oYQ3qlTM597eKB1u7OE+d+nAPIHIAVLbpocFwbJxrD6xaf0357VU7ja5zJ2e+tpd3IOQIomjS8lzUu7nzvm8wggrMkWMnlw/c80+/8eTVOIvW0BfF3+fziycGkpJulxJY7T9635macK577spQygBsDcu/oNYBecuj38aLxqXnb7/yp9U5ba/EX5xi4bMEXYySQKxlbc8/YftYUa002EGjWzJ8QrPDFSwZb08wn3vsR7e7rJYGCFy46eHGc3WvQzO/BQONr3Ntz3l8zhkmWK4E1lw/vZY3XSDZQZ/68fEu8q8vJeI6IP7ri+46T9rXOebz0meLxyUbSI/Rvnfnr7dtEhhP/ejea3Nfkd3zue6QtnDDg2xfGCfjGynj5TT+S5atui22SDKVMSmvzQnQ20A1ety/bX1k+q9GVAMuo3vghN1empeR5venDLT43ffeirMbXOIv3frAxwxTl1Yd700YPKWnNX/VmGzsb6Hf+vBgj0XV4GQ+8xkb1OfEHbfboEWLFYKDp3TAT+ENydKuOQ7WzgV5jdILP6zbd1KfxuWGrflm/86fWO23dGANa/DkYG9WZPkbr/KKOK2HLtncMzYrn2Be3Lxsd75JUUjndWvcXeSTWCllZ8OIlw9c46IKrIm7xuarcg8IaX9MkUqZPMpEb2ehhCQTIZRWd0mbRGkC/8+fBEKlVRVsQf9Sh/2fvTMCjqs7//z13liwTwh5AEQwBVxbFhchSlChaK6ggarRal/hvrQtosVKwdQVFtAWx0taorbbGX221gtqC4lIFQdxY6sIWWZQElSULmWTm3vN/3smdOIRJ5t45M5mbzHt/Tx/5Tc459z2f99x3vvPes4Syfx7vXaYADPexyl+vTaI5gInmFm7P6eOF7VPzvNP5qfWOa7P4UxwDoVW/+0Uog6K7ULto8tC4RVe8D9uPHntngNRdIQH66k0jQ9t2JOOK175k2BKtTbYvNunQqt99jdvrBDW9llb5tpcv89i9s1eio4i/cK9JBNK/DRcqfj9p2HP2aNgvzc+bfWaRNZifGj+unRwCnPlLDtdWW+VgoAad+XVsfmq9O7R2RxN/ieYTqz1+3mIRav3vzE+NH9dODgEWfxFcn1pVXqhp2ggIkSeBDZrXu/zKYb1Dq2unv/z5tVKX5wrQXDvjYym9ix6+YNCn8bglmcFg7htbioTAYEjDJzTXetRnv3Hb2Qef8BDL5mTaF+veVv7O9lmh1HIZp/NT6137FX/3Lt24xIA4kXqgafjw12cNOj/RLOJpz+njhe2Lx6vf13E6P7Xece2WCLD4M8n8ec320BYZzUEFIad9+rX/Fl3qUw6BaIhLfjfp2LftDq9kPWzzlm+eBU2MiLRHStSIgO86OwIwWfbZ5dRSebZPjaTT+an1rn2Kv79u0r+r12XXSOs9Luy9+5yjeySah932nD5e2D67Hj24vNP5qfWOa7P4a2UMPLlm2wA3xHwqYgClkLJWAyZCiPy9dcHKL/f4JwCi3qXJZ6Bp5TJo3GgAfTQh1j18/rHj7Q6vZDxslPHTBKYCstaQMrS/myYE7QPoM6RRevu4QZZPIkmGfXYZtVae7VOj6XR+ar1rf+LviXc3yS37DUMA0usR72kS+/xB+UMJiCy3ePXXZx81IdFM7LTn9PHC9tnx5qFlnc5PrXdcm8VfK2MgnPUTQiy+4uQjQttkhAXh11WBAZXV9T00zbXi4YlHT6a/3fLCZ2Ohyf8DxL7fXXDsMXaHVzIetnDWL1LozX1j00RNaCUw5OrbigYecjwcZ9bses5a+WT419qdrZVyun3WemG9lNPn/N2/bKOsDkgjwyNW3jn+qDHUM3oFXBeU52Z6tV2/OWtQX+u9TXxJp48Xtk/N507np9Y7ru108UeHkZPo8gKgo8qub2YwvZ5eCOAHjck53ALgzZY6ZTfYtyb+vtof6Le7pr53NPGnAbsevuC40BwdO1cyHrbWxJ8Alk8/o2CBVRuTYR/de+i8pb51t51da9UOFqeqpIC1FdI3rLc4iHmy/KtubVMLKY0HCexHzKZ+9eqmnrluuZvEX2SW7+5lG9+pD8iRLP5iIrS0T2LsVpJXwunPm9PtS55n0rtlp8z5ewPADADvA3ieEm8A/h3hmh8BuBrARQAGAfgnaYlEiT9a6OFyuRrP6NVcj9OrUynlRNrMubI6uOfrKv85AsLv1lxPG0Lu03V5BWD0cblc/3lowtFX2R1CyXjYwlm+0Bw/TYRe+0pDFguBHENiwe3jCiyfApJI+0574O0hmiZuFkL2CtkkRaVhyEfemzE27q1qEmmfXd9ZKZ9q+z7YsmeIy+2+WYYWJwECqNSDwUdOLugWYp5q+ywwTGk8sGCfUhESfP2y3PN6dMo8hxraVVPXq+JAQGoCeoZbe1UIVxd/IDDSMKDxa9/YqJ0+ntm+2D7kEm1PwAnizwPgcwAFZvcvAXAqgNCB5eaVDYDK7QdA+9x9BqBfosQftfP0B9vnQEZsotyoVMqRkTHzky/3LpNShu1r1IjArgavZ/zCcwd9Y9dtyQgG85ZW+OCtKaU5fgfZY/OVbyLFAWX6cmXW4xAydBwVQBkoc6PsYGDau786M669EpPBz64PWyufSvso02c01DwupclcilqIRuY6jGmn9O+yNZX2WeDsiHhgwc64iyx6c9ufe3TyhoSfbkiaS9xv3e5a6HRWB/2feWW4xN47zzmKF3zEIO3w8ez4H1tO5xf3g8YVWyXgBPFH2YmXAZxiWjoawM8BXNaC5b8yBeAdiRR/1Naf12yf6BIin744DWD9Vaf0a1okMX3xp/dJuI6FNDoJId9/aOJxLd4/1piz87Dd+eqmQmiYAMh8QJRLgVX3nD1oSbR7kAA0PNVFmhRDhCZqdIkNdjJ+4Tbt2NdaX0+b+98ilyanAiivgn8mvfId9eB/S4SQEyXkhhW3nd6YbbV5Jco+m7e1XDyV9n20raYIMGjhT7krI3cmvfL9+MuqEikwEcCG4f1zZ6bSPgsQHRMPLNhqu8hdSzdO75bpuTtgSK07uOk/AAAgAElEQVTKH3waUjz1g97ivW+N7N27avy5+/3BWuESfmHIj1O90CPR8cA2LIsVHD6eWfxZ9CMXa1sCThR/NOH5ZwAuj4LiWgC06IL2vwrQ3+fOnXunlPKu5mWnTDl0Z5a2Rat+t/IaiS+rmxIBTQ0e2UkgP8cJrmu9j6t21GHVzgMo7JuNwiOyQoX9QQN/WLMXGS6B60/tpg6JWziIQEDLREBkwCPr4TH8ob/p0FDv6gQBiSy9KvRZQUGBUwdQc/HXYeLBuj0GvqoFGqQLUhro7G18tgd3Efi6PgsuIVDgO4Ast1Ndww9bRyXg4HjQUZGnvF9OiDJuAJsA5Js0aK+9k2hf5WZ0SAxSNpDEX+O3WgsXLfjYPvC8UOZQQGyt6hTcEM8ZvMnyjpVfqtOXVvhyUBWau2cYcoGmi3J4xThISRkc3HX2UaH/JuOyYp+V+46a+/ZEoaFESrF+xS9/MIvqNH3GmT8rCG2X+Wh71URIlNC4P7F/p9AxYN9nA9tF5i8p8WDGjBkpi3V0NGSPOs94X4Z2B6QQ/Tpl5fu8ruov9tc+rEkU5edgQnZGp0ry1ZST+/S27fQkV0hUPEiWmWyfGlmn81PrHdduiUDKAmIzg5bR7gYA3gHwkrmy93UAtI3KFgB5AF4EMBZAXSx3kvjbMWhCxKtRUakL76w/TBoYOq0j1ZeVh+3Xr3w2xOV2zZZA+d1nH0WvTkPXXUs3hl5F1yC3+CGbJ3dY7bcV+6y0NXLeijwNwdDWObTQA8BuISSt5ASkVvbuL8eExK3dK1H22b2v1fKptG9tRXWeXi9DzGmhB82zlJChM34htLLh/XLKUmmfRYYJjwepEn8/e2Fznks2zM7wiOGZLu3wBkNWuIF+PX1ed29fxr4d1X5ftkfr1seXWfltdcN/rj+jv+0FZBaZxl3M6eOF7YvbtaGKTuen1juu3RIBp4i/4wA8ASADwFsAbjUNpoUgZwK4wtzeJVK8nQagOlrHGjN/E+8QApUSRqGAyBOaWP7ohcdZ3u6kJWBLKyp8Z/e2d1xa87asPGxN4k+KyrvPGXQdtXHn0s15Akboi709ZP7IzsZ5fyhpWujRCGN1Ffzz4932xQq/VD7yqbYvlOmTsiS80COktaWx2p3ZeT7NAUy1fRZ8k/B4kCrxd+OLn9IPt/EZmvBkebW8gIHdtf6gkeN1nTqgS7aoCgSyMt1ahkvX/uJE4dcexIHTxzPbZ+GJ5yJtTsAp4i+hHY/c5+/6f35aqEHOlEJsfWzScaHXYHYvEnwZe91TIVAYqitEpTACj4w9tndc25VYDQZ3Lv2ilISrlNgqIDdIaCNoyxQJufvus48usdsPq+Wt2me1PVr169MzQ9knlwzUxrvKN3y/RNtntR9WyznBPlr1G6jdG2Iu3VotrfJtL/yscrZazu6+n1bbba0cxQzvHlfx+19VzazVjewB3bI+q6hu0PzB4P66gJ6pG8jLcLsMr4bg8d20Uy46daBjY7ETxnNrrNk+tRHrdH5qvePaLRFwbMBRcVlksG987VJfSoLpscmD4xJMb33+LWUMw3MSm0wLNujTzhzay/Z2JVYftrte3jhAeuRMEoDhm0qg1gjqc+790bFxCU8rXK3aZ6WtZJRh+9SoOp2fWu8OrZ0K8ffmF9+VCCknrti+b1i9Ll2FR3TeUF0fyN261x+sDQRzDQO9NU1+5dLExxfnu689/ijHLsBx/GtBp49nti/RTzS3lwgCHVb87Rxw7tCgO7vSJetJ8BVKKVY/dtFxlo84C8N989PvCoUmaUuSco87Y/aogZ12hwM7JDacfmwP29uVUDAY+dAnBW7gUgEREpUSsjwIPFe5aPJBYpIWfmQb+wvhEnnQ5e4DWudVyZrr114yQxxM1R59p/NT611qxV+vn72Ql5/X6bqfnnXUNUHdyFj2xbfbcnO9Rp/c7DUj+3c+bveBhowNFTUNBmQPt8TsB88/9gWn+4PtUxuRzE+NH9dODoEOK/6aLfio1YV3ajwLPt7auKcYhlEMTSs7/ahuoQUKKzZX5wWC9aUQoub0o7u3tB9hix77YP0X8sJFn0bdq6/BkCWVf5iU0oUpHKzUHjbmp8Yv0bXbKvPX64qlPk9O7fyjD8sdeMmoAcfu2ltX9dcV5VtPOKb34NxOnvLDu2TnQ8C9py7woaFjZfjHKI8XNY8zv47NT613XDvtXvtuH3QeLSChVaXlhuZ9PB7hR9Xf+OLbIk2C5vutP/3oHqHtSpo+izPz96dXPpT3vrJ9CWX7AlKGFqF4hJhqZgHLdjx2YVyrYBM1zDmYqpFkfmr8El27rcTf4Te8GIoV/Xr66n55weDDvG7Xl7c+8/66YFAUnXxMry6Dj+zax+vS6sv31t/52EXHNj3jPF7UPM78OjY/td5x7bQTf4la3ReauL3Ps0BA5tFCDylRK8JbZ0RkA+0MsRl/flf+7f1vlhgCC776/YWhM3cPv/6fhZrQZkIaG3Ysmmz7VbKd+8cqy8E0FqHW/8781PglunZbib8jfv4i7VFaLKVY/NebRw+AwOC6gL5/1cZvRvTv4csY0KvT2mhTRXi8qHmc+XVsfmq949os/mjX6KUVPjvz5cbPW+tbdtuw2tfXVQ5wed0zQwLQvCSwuqFLcH48277c+beV8skVlUt0aZR+vWhyaN++pi8OYPnOxy5U3pJGZchzMFWh5/x9s5zuXzX6h9ZuC/E35clNPVd9sIG2pSo2IFc/+ZuR8zP2umft9zeMqdzrH5ThcVX17+n7d3jecKSVTvcH26c2IpmfGj+unRwCHXbOX2Tmb8YrG4sBg36Vhy4p5Srd03VBNCFIgk/31tIikaKm8oax+I1bRpe+/VlFaIPiQEDUxrPKN9zeX5Z+JO94adsSSXs1A6vNz0cIIEcGA7N2/unipK3ktTKMOFhZodRyGeanxi/RtZMl/qY8+f5YGNrsBt0YSDbXNwSD5V/urT1Q1/CFIY1VAtjdv2fOmZkeV6+sDNe/Xv7lGVF/1PF4UfM48+vY/NR6x7XTNvP3q5c/nygFbTJ8yLX1gR8dc8i+f0ULVtKmrKbwk7WA8IUEI8TiN6aeFtpgWfWiYHX6Q5/cD6ENjmwrMhOoeg+V+hxMVehx5k+NXuJrJ0v8TX58zcdBQ/Yhi4VAvZTIqNhdk71vX23FgbogbVAfuigT+NVjk1rcaYCfNzWfM7+OzU+td1w7bcXfjCWfzYEmBgNi8QM/Orp0+tLNee6G4CxoyDd0Y86DE49bFQmnaMHK0GtYPWjMeesXo1eNX7QiT28QIdHn8sqSZdePUl6JGw5Wff/f34cIt2ewLo1aHdjQfJuXVA1bDqZq5JmfGr9E106G+Lvk8Q8n+Q39MbI1x+ce97cfD//00ifWXFsXlLMpA/i/zypvo781SGN1rOeax4uax5lfx+an1juunb7i75XPQ2Iu6HaXPHR249m+378G1soe+NFRTavuzFe+ZUKi5vVpI5u2cClasHIOgMEBHbP+e+tI5VeyHKzUHkjm17H5qfXu0NrJFH8eTWz5x3WnjArf9YI/vb+NMoBeT9chz18z6BsrfeHxbIVSy2WYX8fmp9Y7rp2+4s/M/AmJ0vvPOyYkBGcs+XwBZf4iPwsDCmf+6g192ru3jAltuFy0YEUZvf5l8eeMB4mDvZofnM5PrXdtI/5ovl9DAP+naWKf29VlDAm98GdkwUs/PbW31X443R9sn1VPRi/H/NT4ce3kEOjwCz5+ufjTQs2lhbZOEVKslwJ5gOzVPBsYxjtuwXslAnIiZf9oHz7ae08K5EBi9/JpI+M6Hq656zgYqA1m5tex+an1rm3EH93losfXrAgYsiAkAIX4Nrzwo3k2MFZ/eDzHItT635lfx+an1juunbaZv4Vvbxmyp0GeE9TluQFdrzZFYK0uUfrghKNDe+xFXvTqN+g9UEwCsOlzid1ZmudPY4d0PRASjbpx4FdnHmX7TN9we+kWrBoPufeGjrHTg4EDKiulqY1045fo8OV0fonubyJe+/5xZfk0TWgG2Xbdaf0fof/S9i5S3/cvEoBhm92a2JWZ5bqc5gBa7YfT/cH2WfVk9HLMT40f104OgQ6b+csYNanArXluFhIDCJ2EcBmGUVdbG3x2j5a7NNZ+f7TQw18nQhnC80/ulSehXQspc5rcILBe1mXPue3s3rV2XZNOwYBOQ5EQB7ETAusDnYNz4tkjkcWf3dF2aHmnjz/1Hh7cgor4W7Ri86VB6XrEkMgNt6pp8HsF7vrpyPz5jSLw/bGa7upuuPTvnr/m1Lft2u90f7B9dj16cHnmp8aPayeHQIcVf77Rl9wvgNBWKhLYAIl8IeADROWNo4+8zirOeSs254mgFlrtS/t2GVLuFoJWDwPQRNn0Mfm2j2JLl2BAZyD76QzkEDthsmv0CZ2VXGSelWzVF+Fy6cLPLher5Z3Oz2o/rJZTEX+Prvhyh27InkJA14TYY0jZTUq4SADeNCq/i1UbWivndH+wfWpeZn5q/Lh2cgh0WPGXM/qSJYTMJbJKrh/VO7TKd+E75WUkAKVuzLppbIGlVbsPv711ogRKBFD+i7EDaA9AhD+TUm647fQC20expUsweOPzbyZKiBIpseHMY3uEOEX7zO7QThd+drlYLe90flb7YbWcivhb8E65n+7j1fSrrh818Dn69yPvlteSAMx0YUY4+2fVlmjlnO4Ptk/FuzxNRY0e104WgQ4t/qQQNTeNOrJpy5aF75bPoWygHfH30DvlxTBkcWSWrykbKGTt9B8UNJ0cYtVJ6RJMl2/cUwzDKI7M8tH8P/c+dxmEqC06urttdsQ4XfhZHU92yzmdn93+xCofr/h79KOv++u19V9AaMGpo/s3TfkIZwNZ/MUi3zZ/d/p4ZvvaZhzwXewR6LDizzfqkucoy2cAc24enb9q0YqKPF3WNW7WHJENjIXr4f9uKZJSTK1t0Pd9sHnv7tq6howh/bvmHNYto48mxEec+WuZYGi+n8RUCFEZ7ByYRnP8ln/xXQmknBiZDYzlg+Z/52Bql9jB5Z3OT613h9a2K/7GPPjGWI/bexG1dM6JvX+a4XYZ2Zrr4etG9Zv1xAdfj66pq3+9eTZQxWan+4PtU/Eu/1hVo8e1k0Wg44q/0RefLyBCW7NQBlA0LdYQi28cfaTlY9rmLa3wVct97zYEcTTNVAs7QgCBYNCYMe+C435v1znpEkxDWb79nlJIGToiL/ISkKXjjukZ2nfR7pUu/OxysVre6fys9sNqOTvir2j+imUulzY03HZBL1/3np0ytO453gBlACENN/3NpYmqG0cdmWfVhtbKOd0fbJ+al5mfGj+unRwCHVb8zZgxQyx8d+tESFHcuNCDLnvCj2qMeGjVcYd3cb+W3yO7a4ZHq3Fpoiagy94V+/0N27+rW/7GzadNtuuadAoGr31WMcQlPFMl5PdflAqLPYh1OvGzO7aslHc6Pyt9sFPGqvgb99uVC90eMQVS7tMlVkkhOmW6XWP698jsmt8zW1IG0BR+32RleIuvPfmwd+3Y0VJZp/uD7VPzMvNT48e1k0OgQ4u/MLJ5ayt8tw2zvyUL1T/9dyvu87q1El031i2fNmo8ZQJfWbf5Um+ma7ahy12vTxt5ol3XpGswoExgvNu7RDJOV352x1l7FRuJ6me4Havi76yFKz8WEH0a/Pqst24b/QTVH/fIe/90C4wKBuTzk04/8qEbhx+2LdH28XhWI8r8OjY/td5x7ZYIpIX4U3F/OBugG/I/y6eOvCqcDeycId+gDMGym0ceY7d9DlZ2iR1cnvl1bH5qvTu0tmXx98jKbUKIjP31Ytzq6YWhTZrDzz+JvzduHXlTom2j9ng8q1Flfh2bn1rvuDaLvzjGAK3q/XRL1aLdNQ0/FBD+bp28/9l7QDxW56/9taZpw3RDblk+dWTToe5Wb5GsYLW2QvoOHNhfLKQYLITwAUZ5QxDPjTmqi63TSJJln1U+scqxfbEItf53p/NT65098ffMmh0LAzpGGxJd/7OhotuBgC799fL1Wl38OksGT/Nkun4tgMzIbGCi7XO6P9g+NY8zPzV+XDs5BDjz1wLX0HYuATG/NqB3+2DLnlGGITyNRaURNGS1lJD++oaf/3f62BfsuiYZwYCEX11t1WwhGk80ibwyDa1k2MBOob0OrVzJsM/Kfa2WYfuskopezun81HpnXfw99f7OZQFdb1rcsbGiJmtjZW1O0DBqgrqsa2opzgy/1X443R9sn1VPts/nzen+VaPPtVsiwOKvJfH35uZZQogREFj+9ufVHwZ1/70eIYYYUmYHdbn5QH3DXfEIP7pdXA/b0Ok+TzYGuw0xwNC0mnpNX42VDzUJuve2Vk3UIEskUB4IygV0H49bTBVAPgTKRuR3tnwSSVz2teEzxvapwXY6P7XeWRB/Q6f7Jp5/0hV5Pbs94PV4avoe3vWhgX17L/Pr+r3rdu4/88tvD4j9dYG9ENijS7G1tkH8OvwaONG2xR0PkmFIC206fbywfWqDwen81HrHtVn82RwDD7+5pVQK5EmPLLlt1MCQyHroza0lEHIigLLppxdYFlPNb237YRs5PS/T0GYLNJ41TJeUsgYGnvCveXA5/f/vbd03S4MYIaRccGpBl9Bn72/ZVySFmEonkRQWdLF8Eolt+2yyVS3O9qkRdDo/td7FEH/ms9T/iLyi7Jysw+rr6ndvLa94l56lp/94y6599Q1vuDTsu3ZEf9tzeeO12+n+YPvi9WxjPeanxo9rJ4cAZ/5a4PrwW5sXSIj8oMCsGeZRcPPC2cA2Fn8ZI26fqgkUScjdgLZKSukL/f9S1vhdxjTKAL5fvn+qlCgyIEpPG5Ab2j9vdfn+YkjQVjfLT83vHMoGWrk4WFmh1HIZ5qfGL9G1Ixd8hJ+lowYedsTQEwYOqN5fW770tQ+307P0m1nF7/fo2W2GR9N2XT3iCNur+OO1m8dLvORYXKmRax/8EtFHbuNQAiz+WhgVD721hY4eo//VAFgCGPmAVkjFA0F92q/OPMrWIorI29gN9hkjfrlAEyI/KOWcwOoHV1Fb4S8xA7K0ftWDi1du2TPEJVyz6W8G5GIhhU9oGAGJnEhBaOUhsGuflTYTWYbtU6PpdH5qvTu09sHir/FZGnHqMc9eXnzGXAmR8eorqys2bt7ZbezYodqJJwxyZ7pdK648pa/t/Tvjtdvp/mD74vVs+xBXTvevGn2u3RIBFn+tjI2ITN/3pQSWTx9bYDmLFq15uw9b5ojby2ij6jpNLwnP88ssnFEiICfCMMrq3p8XegUdnvcXeU+7r3yprl372vrxYvvUiDudn1rvWhd/kc9S2fxbrqzRAzf9d8X/umz435cZJ5040D9yxHEVOR73pIuH9wlt9dIWl9P9wfapjQLmp8aPayeHAIu/GFzvf33jgCyP56xsjzbS53HpWW4tkxZVwDCWTD6pbygLZ/eyGwwyR/xyjhBisCGN5fUuWebRtQEugWtpDqDUG6b51/yuKQv5zsZ9A9xubbAmpE839A0jC7qtT7Z9rbX/sxc252lGXTEg8gHkSSHKEQguWXTpsLjYsTi1681Dy9sdf+p3TG0LlPmrGXrhF1LKzOX/XuXavnXnd999t/8pepZOP/n4cXv3VN3urw90njzxtD/OuWLU3La21un+YPvURgTzU+PHtZNDgMVfDK5L11b4agxjPsT3iy2aquj6nHgEoN1g4Bnxy0K3EIcs2JCGXO1//8HQq95EXnbta+neVzy91pfjc80XEk0LVcJlZVCfE68ATJR9iWQW2Rbblyyy8bVL4m//4AsrqfbOHRWeNe+s81Xt2//53j3V25vGY5KeJSsW83ixQqnlMsyvY/NT6x3XbomAU8TfEAClALwAKCN0fRSDHwJwJoCg+fc1LXXK6o7+VobF8x9VFGmanApabKEbpcLt3iqAYkPKIki5YfKJh1leRRu+XzzBigSgC5jYmEGT5ULK9eHXvVb6YadMPPZFa/+G5/9XJIWkhSi1ujTmaO7sSs1oKAYMWqyyYdGUIbbZ0X0SZZ8dJnbKsn12aEUtm/B4YJw4uQQu73u6Ebx345adp2/6X/mBT9Z89m6ynyUrJHi8WKHE4k+NUvvll6x+p3u7ThF/bwCYQbuTAHgewJMA/h3hnB8AuB3AeQCOB0Dnbo5oC/H3j7UVxULKYgixePKw3iRQ8cLaijwpZSmkrJx84mHX2R1E6RLsf/6PDeFFM2WPXTQ4NC+x8TWwn7bRqVw0ebBtdiz+7I62Q8s7ffwBSFo8mPP6tuOq/f7Qdi73nXt0m23n0prXnO4Ptk/tmWN+avy4dnIIOEH80ckZnwMoMLt4CYBTAfwiost3AaBXNCQK6aLJ2LTytioalkRm/sLiT0q5+qITDwu9Yv3nhzsL4XLNlJDlF51w2FS7rkmXYPC9+NOWP3bRcaFFMtc/t7ZQuF0zIWX5Y1OG2GbH4s/uaGt34i+p8WDO0k3XVgeM2R4Nu+459+g2286FxZ/6uG2phXSJp8ki6HR+yep3urfrBPFH88FeBnCK6YzRAH4O4LII5ywyy7xifva6WWZjssXf3z/YMcTldjfOq5OSXknThs8jaA6gFKLsomG9bW/27PSHLVH2hbN8jT6SywFB7CYAyKGNssPZQLsPYaLss3tfq+XZPqukopZLSjzwD5u0zKVhV70uC3UDXXxe7fk7xg+6ScnSBFXm8aIGkvl1bH5qvePaLRFwovgbQ28HAVzeivijEyyozKa5c+feKaWkzGDT5fV6ZUNDgxP6xiOPCTiOQM+ePYPXXnuteVa148xrLv44HjjORWxQRyLg8HjQkVA7qi9OEEhuEnGgM2gbL5ondhKA6RGkfgNgF4DHzc/oNTFlCquj0Uzka99keIvtU6PK/Do0P44Hau5NeG1+3tSQMj81flw7OQScIP6oZ8sA3AvgHQAvAVgIgF7t0oTsLabQuwfAWQBons4jAOj1cNSLHza1wcL8mJ8aAeXaHA+UESauAY4HaiyZnxo/rp0cAk4Rf8eZK3gzALwF4NaIDB9t77ITwAMAzgZQD+CnANay+EvOoOBgpcaV+anxA8DxQBlh4hrg8azGkvmp8ePaySHgFPGX0N7xw6aGk/kxPzUCzqrN41nNH8yP+akR4NpOJNAhxR8tArn99tvvdiJwsontU/MM8+vY/NR6d2htHi9qRJkf81MjwLWdSKBDij8ngmabmAATYAJMgAkwASbgBAIs/pzgBbaBCTABJsAEmAATYAJtRKAji79Y54N2oo2GARwO4BsAlwLYk2DusWwg/rSymY6vMwDcAuDNBNvQWnOx7AvX9QH4zNxYmzbkbqvLin20NdCdAIjltGbHAibbzlj20V56dCpNHwBZAB40V7Mn0i4NAK2Ev9a8T7S2LZ+LnUjDHNZWLF9xPABiMeJ40PqgjsWP44HDgkI6m9ORxV+s80Fp70C/+YV8A4B+5vnBiRwPsWz4EYCrAVwEYBCdHAdgaCINiNFWLPvC1ecBOB0AzaNsS/EXy77uAFaaxwFmmyvCf+IgfuRX2p6IVqeTrXR2dfgYw0SZSfthHgAwE0DfKI3aOhc7UUY5sJ1YY4njQewzlTketD6wY40xjgcODAzpalJHFX9WzgelLWWuAbAVAJ0q8Kq5uXSixoIVG0iwULn9AMLZNRKhbXFZsY/sGAzgDgBfAni3DcWfFfsuNoVf5IbgbcGO7mHFvjPMbOkUAEcC+LtpbyJtpHFTa26HFE382ToXO5GGOagtK77ieBD7jHWOBy0PaitjjOOBg4JCupvSUcWflfNB6TXmyeYXJ42D7Wb2L1FjwooNkff6lSkASWi1xWXFPhofJIqvA3BjG4s/K/aR6DvCfHXfEwBlb95uC3jmD4ZYZ1KTKc8BOAFANwAkVklkJOOivTCjiT9b52InwzAHtGllLHE8iH3GOseDlgezlTHG8cABwYBNaCSQLuIv2vmgbR3so9kQHoc0X2sygPMBBNpocFo5Q5UyoyRaaM4YbbLdlpk/K/aR+CsCMAHAYeZ8yYEAZBswtGLfeQAuM8+ppozuK+ZrfZrfmejLqvhrOhc70QY4uD0rvuJ4cLD4ixavOB5YF3/R+HE8cHCQSDfTOqr4s3I+KM3PoLlYdK4wTchfYmYCEzUGrNhA97rcFAgk/mgOYltdVuyjOYiUWSOxQv+ls5SvALCmDYy0Yh/ZQmKPFnzQ9SGAc8wFPMk20Yp996PxVdpfTGM+Nk+p2Z0E41oSf7bOxU6CXU5o0oqvOB7EPmOd40HLo9nKGON44IRowDaECHRU8Ud9i3Y+KL1yo4UV9CufJsi7zDOF6Tg5ynAl+pVrLBtopfGLAMYCqEvBmIxlX6RJbZ35s+LD3uYiGVqM0tVc/EH+bYvMnxX7KKNLr3xvAtAFwCfmgg89Cb5uLv7iOhc7CXY5pclYY53jQeyYyfGg9dEca4xxPHBKNGA7OrT4i3Y+KIkFenVJ2aIcAH8zM1pfmxk4WniRyCuWDTTPj7Z3icwEnWZm2BJpR0ttxbIv1cHein00H5EyuCTkSbzTq9W2umLZR2dVP27OSaR/06rplxJsHLVPY+ZoAF8AeBbAHDPjaPtc7ATb5qTmYvmK40H0M5UjYybHg9ZHdKwxxvHASREhzW3pyJm/NHctd58JMAEmwASYABNgAocSYPHHo4IJMAEmwASYABNgAmlEgMVfGjmbu8oEmAATYAJMgAkwARZ/PAaYABNgAkyACTABJpBGBFj8pZGzuatMgAkwASbABJgAE2Dxx2OACTABJsAEmAATYAJpRIDFXxo5m7vKBJgAE2ACTIAJMAEWfzwGmAATYAJMgAkwASaQRgRY/KWRsy129XVzA+xCi+WdXozO//0TgCqnG8r2MQEm0GYEOC60GWq+kRMJsPhzoldSa1MvABqAXak1IyF3p5Nc6OxmOpeYjj/ji2yX6W0AACAASURBVAkwASbAcYHHQNoTYPGXHkPgvwA8AL4BMAbARwCmANgLgM6ZpczYRAB0xnFJROaPRNMiAD8wj6CbAeAfALIA/B7A+QAOAHjEPLrsHgB0ZN3vAFxhZtsuA/AhgAHmfU41hdg08/xlOm+5HkAnAOsA/Mz8320Aeppl6ExMOnqP7PsFgEwASwBcD8Bv9uFRAKPMY86eATAbwI4I99IRaKvSw93cSyYQlUA/AH8BQM9grXn04CwA8wFcZZ4/TRXpDGr6sXQegFMA/Nl8FhcAoGec4gAdVXgzAMqgdTePzbwcwHdRYsrPW4g/ewCcZcYLso3i0tUAygE0jwtTATwE4GLzTHqKWXScY0uxiM77ftM8w53uT+XIVnqzwXGBH5C0J8DiLz2GAAU8En1DzcC5AcD9AH4NIAjgKwAXmVkyEnd0zim99v0PgHwA5wC4yRSG9Kv5RvM83eMB9AfwgfklQeXuBXANgOdN0UfnFtO9SYCSUCSRSW3RFwiJy5dNcVkMYKXZ3nsASBwuN/9HYu5V899jAaw3v6AWml8I1IctZjs3mP2iczZHm4KTbN4KQKaHu7mXTCAqgd8CmGA+24PMc8VJVNGz2JL4W2OKOzonmsQdiT/6YUY//h4G8DaA10zBRj8CW4op0eIP2UNCj9p5AMDfTZFIopNiFv3oDMeFn5ixhdqhmEMiloTgyS3EIvqB+I7ZJv2gfRHAEAD0ZoPOAyfxyHGBH5S0JcDiLz1cT4G0K4CTzO5+YYqlc03x90cAJJroCs/5GwmgDsBj5pdEJCkSaZQ9qDE/pAPLKSPXzQzQuQCqAVC7lAGke1NbDWamjsYd1aHATVmHPgBISNJFv+ZJQHYxs33h+84xs4qUAaSLMpmU/bvU7AMJwVtMwUdB/2wAhwF4il/7pscg517GJHClKZooE0+i7W9mtq2lzB/9UKNn9g/mD748AJWm+CPBRtk/EpOUfT/WbI8yd/RjrHlMiRZ/6L5LzSwk1XGZcYOeW4pDkXGB/n/KMJ7YrJctxSJ6i0Bx4AIAL0XEFYo79DaC40LM4cIFOjIBFn8d2bvf96154KQs2Wfmax0KuvQ6hX79R4o/ypqRYKNf+JSFo8BMr2ZJ8C0zBV3zQNxcuD0B4BIAnSPaIoEWeTVfYHIngLvM9vcB8JnZSnrle3cUUUhtRfaBMpaUOfwhgN4c5NNjgHMvLROg17iUWaPnY7iZBaSMHk2toB9tdNGPQ5orGxZ/NPWDsvWUNaswxR+VWQyAfkD+25wWQtl5yiBGiymRwi0cfx40RWhYoLUWF+gVLgnIE8xCFFNougjdkz5vHosofpH4o37SGwyKb/S2g17/0g9GFn+WhwwX7IgEWPx1RK8e2icSWPS6tAiA13xN8xszw9aS+CMRRa9daS7OeDP40xcAzd2j17ok9KhN+sKgtujVyiSzzV8CeMEM7PQlQfel4N0XAL0+ouBLdSnoU/AOv2Ymy8OviCmTSEH7XfPVTZk5D4g+/xeAJ83sAn3ekvjrAYBeGdMXFPWFshh8MYF0JXC7+bzeZ2bD6dmkH2dHApgLgLL9FB8oXlBGjkQiZQlJXFEMIJFIP8zotS9lAJ82xRX9KAxPzaAYEC2mRIs/9Jp4m/ljkl4/kzijaSIUP5r/KKTXyfTDkF4FH27GBHolfHQLsYjeQrQk/miKC8eFdH0KuN8hAiz+0mMgUCClX8r0q52EGE2mpsBJr1BbE3803+9xMzvwNQCaHE5z+SgbF17wQb++KYjTa9lw5o8WW1CGj+bz0H1ojh7Nr6F5NiPMOYb091eiBHnyCGX5KNtINtOX0E/NxSn0pUBfEiQWqS4JTppH2JL4o+wmzTUkEUjzEenLgC8mkK4E6AcdZfFoPixNy6D5vfSDjsQdvRodZn5GP/hoQciPTEFIIo+eecrkUwygZ5MWgdAzSNnDvwKgecT0BoEWYdEr3+ZvE1qKP/Rc0itkEqAfmz8sN0aJC5Sxo6kdFwIIACg1401Lsai1zB9lMDkupOtTwP1m8ZdGY6Ct9u4Liz8K1DQPiC8mwATaNwHKktHiEJr7Sytz6cffODOTb7VnbRV/rNrD5ZhA2hPgzF96DIG2Cr4s/tJjPHEv04cAbZFE2yhRtpC2hqKsHs29tXO1VfyxYxOXZQJpTYDFX1q7nzvPBJgAE2ACTIAJpBsBFn/p5nHuLxNgAkyACTABJpDWBFj8pbX7ufNMgAkwASbABJhAuhFg8ZduHuf+MgEmwASYABNgAmlNgMVfWrufO88EmAATYAJMgAmkGwEWf+nmce4vE2ACTIAJMAEmkNYEWPyltfu580yACTABJsAEmEC6EWDxl24e5/4yASbABJgAE2ACaU2AxV9au587zwSYABNgAkyACaQbARZ/6eZx7i8TYAJMgAkwASaQ1gRY/KW1+7nzTIAJMAEmwASYQLoRYPGXbh7n/jIBJsAEmAATYAJpTYDFX1q7nzvPBJgAE2ACTIAJpBsBFn/p5nHuLxNgAkyACTABJpDWBFj8pbX7ufNMgAkwASbABJhAuhFwivjTANwD4FoAfVpwwkMAzgQQBHA9gDXp5izuLxNIEwIcD9LE0dxNJsAEUkPAKeJvOoADAGYC6BsFxQ8A3A7gPADHA3gCwIjUIOO7MgEmkGQCHA+SDJibZwJMIL0JOEX8+QDUAtjZgvi7C8B2AE+a7voUQCGAqvR2H/eeCXRIAhwPOqRbuVNMgAk4hYBTxF+YR0vibxGAlwG8YhZ8HcDPAWx0Cki2gwkwgYQT4HiQcKTcIBNgAkwAaK/ibzmAnwHYNHfu3DullJQZbLr69u0rJ02a5LS+8XhjAo4gsGvXrn0FBQVdHWFM60ZYFX+txoMePXoEzzjjDHc76C+byARSQaC9xINUsOmw93SaQGop2P8GwC4Aj5ue+BzAKQCqo3nmgQcekDNmzHBa35pM3bJliywoKGD74nysmF9scM99tGuhruujpUCWS2jbsjIzbrng+O40XQJO5xfRuw4ZD9ZWSJ/hry4GkA9N5GfotcUHDO/Qkwu6rY/l2UfeLS/UICZIiXwhUC6kWHXDmP5LYtVT+bvTxwvbp+LddhUP1DrKtQ8i4DQB0jzYH0PfVabQo9XAZwE4EcAjAEa35EsWf2qjnINp++ZX9tFXy+oDcmhkL1ya8HfKzjyXBKDT/duK+OsQ8eCjbVVzAAwO99MjGyYEhHeJEQzOak0APvJOebEGkGg86DKAspvH5JepjdqWazt9vLB9ap53Oj+13nHtlgg4RfxRRu80AEcD+ALAswAoQFKGj7Z3IVH4AICzAdQD+CmAtSz+kjOwnR4M2L7ofn96bYUPgcBNDQE5Swjh97i1skyv9y9G0JjpDwRGZXjEuuLhh493Oj8zw98h48GabfsGuKDNb/SgtsCVIdd7D1RV1rk6LRFA5Yn9c6+L5t15ayt8WVV1jQJPagsCor7cI7zjIOVE+ujGMfmh/ybjcvp4SbZ9f35/W5EksS5FngQ2uDO9i68c1psWKFq6km2fJSNaKeR0+1T7x/WjE3CK+Euofzjzp4bT6cGA7TvUvyT8jIbA47ohC4O6PMzj0nYLIT8RQtRkZ2Q+fKCu/hW3C/t+fHLfY5zOT230HlrbSfHggy17hmhu92xAlg/v33kqWUv+2O/uGXp168roVDystzhEWCx8e8sQoWmzAZTfOCY/VI+uR98pX0z/rcvNKr7NhiCxw9jp4yWZ9j25ekeJEI0CO3zRM2X4jTuuGdN/qxWOybTPyv1jlXG6fbHs57/HR4DFX3zclGo5/WFj+5Tcm5I5dU+s2T5RkyiBFEdLiR5ul/aFLvVtAHwut+tLIyAv9rjErstPPvxEp/tXjX77EH+RWb7NW7bKKnePkPgb3j83agavSfwJUXnj6CND2cHIbCBn/hI/h/rptRV5en1DKbGWUiwWMrhBCleRELTHrNh69alHTLMyVp3+vDndPiuMuYx9Aiz+7DNTruH0h43tU3NxKvg9uXr7LPpScmv4t65rd1IPNA1bA7rRGxBdXULUZ3o8Ky4d3mtyKuxTI6pW20mZP+rJR19WlUIgT0BslYaxOkPUP1svMpdAYvfwI3NLovWWhF5mVV2pAHwS2CqB1ZoQ9Nq3l4TYfdOYI6PWUyPXWNvp4yVZ9j21cscQuOVsCVl+zan9Q9lWyrDr9Q2h1+9Xn9rP0qv2ZNmXCN+2B/8mqp/czsEEWPylYERwMFCDzvwO5ffU+zumArLIECj1uTJ+QnP8pDS8DYbM1oQIZLldX+VkZ05qZws+1AaKWdtp4i80709qM0kAkomhBR/IeM7QA3NaW/Dx6H+3FUEYTa98Qxkp2hzfMObcNLYg5krheGGm6/MWFn+RWT4Wf/GOIq7nNAIs/lLgkXQNpolCzfwOJdk4KV1MpflIUmplLpcs0IPyegPS4/G4Xr5y+OE3h2s5nV+ixkm4HaeJP7KLtnvR62sLSQD6gnuf9Wf3zYk21685i0UrKvKC8kChlMKnSW13XeeMVcma69dexkuyxvPBr32NxXC51gtdFkGETpeqvfrUfoesvI42dpNlX6KeE6fbl6h+cjuc+Uv5GHD6w8b2qQ2RVPELv/ptZn2tK8NbErk6MVX2qVGNv7YTxV9kb5zuj3S2L9qCj5DvDH3O1YX5q6yMynTmZ4UPl0kNAc78pYA7BwM16MyvZX6NGUBtsJQyR2pY7/F6lzfflsLp/NRGx6G1WfypEXX6eEm2fU+tKi+E5h4hIXtBiq1Cx+qrRx5h+TV7su1T867z53Sq9o/rRyfA4i8FI4ODgRp05tex+an1jsVfovnx86ZGlPmp8ePaySHA4i85XFttlYOBGvR05Td8zjvnZSA4KhjUd635zZl0yk1cl9P5xdWpViqlY+bvzIUrh2iGlIZhHHj9ljGW9qNrCWHz8XL8XW+OztTkcCrvN8RH/7vrjHcT7TM77Tl9PLN9drzJZduKAIu/tiIdcR8OBmrQ043fkXetPObwrODLXq8rP0wuqBu1O2pcp35510g6BcfW5XR+tjpjoXA6ib8zf/fOAOF23SyEGBBGI4H1oi57zrLbhlk+lSISa+R4OXn2WysE5EmRf5eG/PCDX48bZcEVSSni9PHM9iXF7dyoIgEWf4oA46nOwSAeat/XSTd+o+a9s9nr1kLCj0SfS0O2EJqgf78zfUyuXZpO52e3P7HKp5P4O2vhyjlCiNC5wVLKDQIij1YUkwB87cbTZsViFe3v4fEy/N43/uDSxFVmmSrzv6Hxp+vy4Y9+My6u9uOxqSVxqtpWMuo7/Xlzun3J8Am3CbD4S8EocPrDxvapDYqE8Rs5PS9Duor7DCr4naEHUb235pm9+3bfhpUP7T79t+8ESQDWVNfdYvcVcMLsU8PUZrXTSfyNf/S90HFvcBkly64ftXv8vLU+ZB5YQALQCASnxfMKODxeTrnvrU8g5DES4sMPZp0eyvQ1ZQKl+HzNHaefoORUc7wDIl8AeRCiXNf1JYHVD7a6qtbp45ntUxoVXDlJBFj8JQlsa81yMFCDnhb8hk73Zea45wu3p6BLz25nSCnk/l0VL0ugxi+C08ZMOn+z26X56urqH1o1c9ztdog6nZ+dvlgpmy7iLyT0sg6USSlqXrup8LIwm3A20JBy1us3jbS8SjVcv0n8zX5rByB7Rmb5ht/12jSXx/0AIL5ZM+v0I6z4I2qZ8HiX6NX870HDmNOaAHT6eGb74h4VXDGJBFj8JRFuS01zMFCDng78Mk/7ZZGANlVC7j5+3OirM3Kysf3TjR98t3lbZU5ennbc2BFnawLa/jrj/I9mjnnZDlGn87PTFytl00X8EYtw5s8w9Dmv3zx6VeMcQM99Qsgc1cxfRJZv+846/Sy6X98s12sQsh+k9taaO8aeY8Uf0cpEjnfdkKUBl7GVst4aRJEENvjfe2Amx9N46bZeL93iQXIotr9WWfylwGdOf9jYPrVBkQh+WafNoNMDiqXE4pMvOu8uj0v0qff7sXXNeuHN8qLg5GGyIWiUr7htzEC71ibCPrv3TGX5dBJ/Zy1cNVUIWUS8KQNIos9kX77sxtMOOhrOqk+a5vw1Zfma1ZRC31mnH7drdtE2q202Lxc53v2rHigN/X3k9Lws6S6VApX+lQ9cx+IvXros/pJDrn23yuIvBf5z+pcv26c2KBLBL/xlaEAu73P2+Uv75hiv1+3d2+frzzdrWbmdZJ/jjt4aj/CjniXCPjVCbVs7ncQfvfqVmXUlYQHYKALlBuGW82kOYDzkI8fL8HvemO3StGkQ0tXYlvgm6K+/7eN7z34unrbDdSLE32r/qgdm0+eeEb8sdGvaTM78qZCNXTfd4kFsIulRgsVfCvzs9IeN7VMbFIngl3nKjAHCjflkCQlADWK3BCYIj6c3AoHH6957oCxeKxNhX7z3TkW9dBJ/kXxJCMa7vUtkO20xXiLHu5RylRCiPDTeAcpclrU23tvCPpVxy/ap0OO6ySLA4i9ZZFtpl4OBGvR04Zdx2u1Tac5TJC0p0ZQZiZei0/nF26+W6qWr+EsUx7YaL/GO97ayL16ebF+85LheMgmw+Esm3Rba5mCgBj2d+JkZkRFETAax2r/mAaXTGqgdp/NTGx2H1mbxp0a0LcdLPOO9Le2LhyTbFw81rpNsAiz+kk04SvscDNSgM7+OzU+tdyz+Es2Pnzc1osxPjR/XTg4BFn/J4dpqqxwM1KB3BH6H/eLNY/J8xh+FoR8vNeGHxIef3HvW+WpkrNV2Oj9rvbBeKt0yf1f9dd0QockRQmj5hjBokcfqP186rNWNkluj6fTxkmz7Dr/hxSIhMVhISRtPb2iozl5c+czZlo/Ks2Jfr+lLfRn1DeME5BApZK0wxPptj058w/ooj15ywK1LiiAwWIPw6UJbfwCuNyofOth2K/ap2sH1nUeAxV8KfOL0h43tUxsUsfiR8OuRFVgvpaFF3skttL0f3ze+h9rdY9eOZV/sFtpXiXQSf1c9t7ZQQIuyJ55Y/NSlgxu3ULF5OX28JNO+vtf/i1ZOT4xERhutB6RxR+WiyZamYMSyj4RfZqD+cSFDi1uaLimxatvCiXNsuqupeMGtL88SQoSmjIQvsr1GuK+LFICx7Iv3/lzP2QRY/KXAP05/2Ng+tUERi9/Jd762SrjEKdIwZDCI9+huhjROk4DQNPHq2nvPnqBmQeu1Y9mXzHunou10En/XPLe+TAI+GMZqqWG5gGsw0Chegl6j5JlJw2xv9+L08ZIs+3r97IU8ryZCgllKsVhC3wAhijSIERLYuvOxC6dZGc+x7DvixpcmujRRIiFrDQOhVfydfJ4Sl6Z1EhoeXTf7nH9auU9kGcr4aSK0SXytLo0Fbmh5UqBYQPggZenm357XeAxgGs4Btsuyo5Zn8ZcCz8YKBikw6aBbsn1qHmiJ3xVPr/VJYRRXH2j4vWEYXrem7fFle/8gpDZn/cbK/+jSGOlyuXd9cs+ZfdUsYPEXSSCdxN/Vz60PfakHG4ziZ64cFno1eXXZejrbN18G5aw//3ho3Me7JXNMqrSdrHjV9//9fYhwe2ZLyPKdj00KbZDd64qlPm+nAyGBtuOxCw/KCLbUh1j29b/5X7MEtBF0ssnppx65XApjpr8heGZ9Q7C/2+36xpfpWSCkVhb2pxVW4axfUOpzvvztxNAr/4G3vjwRQpRIKVdv+e15ob0UWfxZodkxy7D4S4FfYwWDFJjE4i+B0Fvy74+f+bgEwIX7a+rP8NcHM7OyPN/mZntWAWL9hi+++QGJP7em7f343uS++nX6+EugK0JNpbv4u6psfakQyOuo4u+LTVvk0YMKEv5d9r34+z7Llwzx1+/ml0JbOpH4+8GpRxQKgcG1dcHM6pr6IzvleHRflncTIBb/9YoTLb+2H/CLV6ZqQFFkli8s/gxg+daHf7SAxV+iI037ai/hD4wTup9OwT4ZvJ0uDtqbfXe9vHGA5hXXbt9z4FryV01Nvdy4bV+voIR+5BGd92oQ2s5dVZ3rA0HNJbSVn9w3fkwy/JquwT6d4kH4tS/NF3MJY7FhoBCaNlEAtU9eOoSODLR9OfV5u3vZlmIBo7ivT0zYWSuXAFiVJTstuO3s3pYXY7QG4+DXvsZiaK710tDpdWohpLFhx6LJLZ43HNluLH79bn6xSINrana2Rx43qEdvXZf71332zV5d17O65HqXDD46LzQN5K9XDLeUaaSy37/2RY0hRChTqUlZTJtmG9JYsPW3E5anazyw/QB00Aos/lLg2FjBIAUmceYvgdCb+/eeZRsXGBIDd+6tO0lA8x/RLXPdexsqzq7cW+fp3j0bmRkuUbG7xqhv0OW3/ozBXz98xucJNOeQppw+/hLd93QSfy0t+JAw5sS74teJ4+XeZZsmSoAy6YgQf5AQW+8cP9DSXDwr4yzagg9Dytog5KxELfggO+jVb64v88wj+3U+tq4uWLX5y72f03w9vzez5KxhPSnj5xPS1fQq34rtURd8NHvlS+040b9W+sdl1Aiw+FPjF1dtpz9sbF9cbm2qFMnvntc+GwLpng2I2s27q3oaEgdyczwv9fZlnv/Z9n0nH9CNrvSj/Kuvqz7+usZ9VbKFXzoG+3QSf+Tf0FYvbm0EpD4AwrVV6MYbT14+1NLK1Ggj34nx4O5lm+YIYDCAxZcXaI8/vVn2cgljFiDydYE5d581KO6tbZozOPz6fxYKoY0Q0ugFoa1PxlYvdM/Ce5aV9OnTZSqk4d5Uvm/ONwHxwpkn9BgipAhlGO1k/sJ9aNzqRSNOoGxlZMaPM39qcb6912bxlwIPOjGYRmJg+9QGRTTxR4fTb6qsqQRk6Li2LI9nqISR6Q8YHwJ40c58HjXr0u+XfrqJP9Xx0by+E+PBPcs2hRa26FKUXDlQVBYUFIjwa2AJrezO8QVxn32dSn6X//WjBUIiv9EGUQNIc/sXsfyvV5zYNE8vkTY60b+J7B+3FZ0Ai78UjAynP2xsn9qgiCb+BETNxora66QwSjQhJ3jdtAUH4A8Yd7Sl8OPMn5pvk1Gbnzf7VMOZPwGUXlagvdQo/hqzgfTZr8cPatrKxH7ria1hx79XPL02z4A+jRZ9fG+FWC6kVmpnta+dHtixz067XNbZBFj8pcA/Tn/Y2D61QRHJb97SCt8BUb1AAHkkAGnbCEGvpqTRWQix9s7xgyxNGlez6ODaTvdvIvtKbXHmT42oE8fLna9tKnRJhJ6dwV3FhA17Jc2L6xXOBt599kDb+xmqUWq5drz8aGuoZAm+SGvjtS9ZvLjdtiHA4q9tOB90F6c/bGyf2qA4ZMHHa58NkdI9lQTg9y3Lcl1qs1PxJeV0/6rRP7Q2iz81ok4dL4eu9hW1EnrpneOPblrJqtbzxNR2Kr9w75xuX2K8wK00J+AU8TcEAP1y89JyfQDXNzPUA+BJAH1ouhSABwG81JI7OdirDXSnB4P2al9o8Qed5lHvqr3rvKPinoCv5t12MeeP44GqkxNY38nPG2XWx/WrqXllZ2BoltF1a6K2eUkgPsevpnWyfxPpB27rYAJOEX90gPUMAO8DeN4Uev+OMPUiAGcB+CmA7ma5AhZ/yRnOTg8GbJ+a353ODwDHAzUXJ7S208cL26fmbqfzU+sd126JgBPEH2X1aF+zsJi7BMCpAH4RYfQZAH4OYAqAIwH83SwTtV+c+VMb8E4PBmxfh/YvxwM19ya8Nj9vakiZnxo/rp0cAk4QfzRJ92UAp5hdHG0Kvcuadfk5ACcA6AbgYgBvceYvOYOCg5UaV+anxI/jgRK+xFfm8azGlPmp8ePaySHgRPFHR1v9DMDlEV0+DwCJQfqsH4BXAAyl6VNz5869U0p5V3M8U6ZQkpAvJsAEohGgrTEcSqa5+ON44FBHsVkdh4CD40HHgeywnjjhC8ANYBMQ3tgSdP7kSQCmR7C633w1/Bfzs48BnA0g6nJ+fu2rNsr4lyrzUyOgVJvjgRK+xFfmeKDGlPmp8ePaySHgBPFHPVsG4F4A75ireBcCeB3AMXT0IIArzVe+NwHoAuATc46gHg0Liz+1wcLBKja/kfNWn7bythHvRSvJ/GLzi1GC44EyQqDXFUt9lc+cXavalNPH85r1X8hThhztlO+yQ3A7nZ/T7VMdv1w/OgGnPDDHAXgCQIY5l+9W01xaCHImgG8APA7gcLPMPN7qJXlD2unBIFX2nf/oigXHHtH1hp6dMlxEP6Ab2LiretuTVw6nRUhNV6rsszoinG4fAI4HVp3ZrBwJvoxOB0ogROgYQboksL5BNxZU/mFSXBsfWx0vxU9/NDbb65kvhKQtuQAp/AHduPcvlw+j2J7wK3/qiwuD9cEpXXM8vfbWBCqFJva5XZ6ZWxee/0LCb6bQoFV+CreIWvVva7YNcLk9N0PKAY3uEDXCMB659KS+B517nCr7Et1fbs8eAaeIP3tWxyjNmT81nE4PBqmy784ln+m5Pq9GdINBA2536J/43/a9O5686mSaixq6UmWfVa873T6r/bBaLp3iQb8bX5oK2Xh+tARqBeBrFGJy6/bHLpxmlVlkOSvjZcqTH/XsnO1ZAyEzm9+jPhj4+TOXn5RQQZY/7V/3Bf2BErpXWPzRv4UQ/j3u7FNqFp5LCQNHXFb4JdrQp9dW+DyG8biQ4bOBv79D0DBm/fjkI9a3l3iVaDbcXiMBFn8pGAmpCAZ2usn2HUpr4qMr3umflzvaMCS+/KbmhVduGjn5sj+tevekgT1HUQZwxlmDmp4l5mdntCW/bFqJvxv+FTrTVjf0OV8tmryq189eyMtwabSBPgyBWTsfvaDpS98qeSvj+Sdlnyz0aNoU3cC6mrpgaLFeTpb7by4NQ3UD/3mqeOhVVu9npVz/G/65QggM6tq902dXjOj1g399tn/+nm9qJu7fV+tzZ3seKv/tBQ9Zaactyljhl2g7nv3oq2INKDakTp7FygAAIABJREFUXH3ZSX1nkxh0B4PTNCFGQIjFl554WGhM0JUK+xLdX27PPgEWf/aZKddw+sPG9h3s4jMXrJjl1sSN3XIyejfoutx/IPgyYKx67ebRc+Yu2yQpA/jPD78dGZ4DyPyUH5GENpAu4i/0yje3roxe7+149PymrbKOuOHFOQJicDLF3zXPrVuhCRQEgnJW+DXvT/629lqPW8w2JLY8eenQUYl06oCbX/ymV+/OnTIzPR8OPzx75LrK+iX++sDg2mp/3t79B54qX3AhzQ93xJWKeFD20c6QzyOzfM99uLMQQsyUkBuKh/dtOlM8FfY5wjFpbgSLvxQMAKc/bGzf94PirAUriyAw1S3kiUP7dekbNCTW7dz/HKTweYURHHd8nwup9C/Gfb91CvNLwUPVyi3TRfwRgn5m5g+GPm37osmhIwSPuOFfZfT6N5ni7+qydX92aTgnMssX7bNEjYyT7lq2zet199JcYs3M03uPnv/+d+fX1AT+DCmzq6rq//K/B35Ip0E54kpFPHju469LIOXEyCxftM848+eIIZISI1j8pQB7KoKBnW6yfd/ToqyfEGJE0MA7Rcd0n5vldYuv99dh23d1sk/nTHFk92x8W+XX77/geNqiJHQxPzujLfll00n8hbN8lP2DlOUQIp/mfUkpdu947PzQHDm7l5XxTIs9fBnu/6O2pRS76L/hhR+19cFLyq4c/rbd+7ZW/gfz3v5vIKCfWlmxv/rI7pk9NlfWftGlq+8wny/Dq2nijhUzzkjr176hxR4u9/wQQyEazxE3F37oenDa5af0bzpb3Ip/E+k7bssZBFj8pcAPTn/Y2L7vB8VZC1dOhUQRhFHaRdOuGlbQ/YLq+qDYsceP7jledMt0Gx+XV9+4+OZTF7H4S8HDZOGW6ST+zDl+syL2TSUxtltqckE88/3s/Jih17xul/iNEKFdGyAl6oO6vCcZq33PemTFAn99cMJXO/Z0yvGKHrTat1uPTt7OXbJ3ZWRov3rtptGhuY9OuFIVT83XvFMRXvQD1ELKBbza1wmjIvU2sPhLgQ9SFQysdpXtixB/5mtfADUCooz+4oJ8TAq4XTDee+Wm0ZOac2V+Vkda25RLJ/EXJtr3xn8NCf87XtEX74+ZK/72YeiZSPQK38jRctaC90og5MRgUO46Jz/j//1j3b77O3XOPtqlwSN1fdrrt4xpymy1zShr+S6pjgd//WBHaCxErvCNtDbV9qXaP+l6fxZ/KfC80x82tu/gQRF+9Rv5qZRy9etTR82ONnyYXwoeqlZumY7iL5EecOJ4Hj9vrU9m1MwBRP7QXhkTaMFHqM/CKHVS1o9MciI/Fn+JfELaZ1ss/lLgNw4GatBTwS+08EPD4JDlBja8NnXk8pZ6kQr77BB1un12+mKlLIs/K5Scm7lqybKQAMysLpo4qNNLizfVTpMBvPH6rSNtb2WjRid2bac/b063LzZhLhEPARZ/8VBTrOP0h43tU3Mw81Pjl+jaLP7UiPJ4Zn5qBLi2Ewmw+EuBVziYqkFnfh2bn1rvDq3N4k+NKD9vzE+NANd2IgEWfynwCgdTNejMr2PzU+sdi79E8+PnTY0o81Pjx7WTQ4DFX3K4ttoqBwM16MyvY/NT6x2Lv0Tz4+dNjSjzU+PHtZNDgMVfcriy+EsiVw6manCdzk+tdyz+Es3P6eOF7VPzuNP5qfWOa7dEgMVfCsaG0x82tk9tUDA/NX6Jrs1z/tSI8nhmfmoEuLYTCbD4S4FXOJiqQWd+HZufWu8485dofvy8qRFlfmr8uHZyCLD4Sw5Xfu2bRK4cTNXgOp2fWu9Y/CWan9PHC9un5nGn81PrHdfm174OGgNOf9jYPrXBwvzU+CW6Nr/2VSPK45n5qRHg2k4kwJm/FHiFg6kadObXsfmp9Y4zf4nmx8+bGlHmp8aPayeHAIu/5HDl175J5MrBVA2u0/mp9Y7FX6L5OX28sH1qHnc6P7XecW1+7eugMeD0h43tUxsszE+NX6Jr82tfNaI8npmfGgGu7UQCnPlLgVc4mKpBZ34dm59a7zjzl2h+/LypEWV+avy4dnIIsPhLDld+7ZtErq0F04zJpfN6dM2+1ev1ai6vCwF/A2r31+78tuyaI5Jo0kFNc7BvK9LW7sOZP2ucmpfKufDpPE1rKL5sdN/5z674qkzCKBcGllS9cN2q+FqMUWv8vLwst6sYEPkA8oQQ5dLQl9T9+xcH3a/HNWUTBTAiw+MpysrJOLxbjrfvvprgWkPXt1TXGb+u+OMFn6ralznk+gFwaZcCyJeQtQJig9+oKsO6Z2rtth2OB12ufnZshsczUwjRn9qQUm6rDwTm7Hvqsrftthlved+UPw7RhPtSAUH9KpdSLF/7wNjlBQUFHVILxMspHerF4/BCAKtp7JqAMgCcAuBdpwDjYK/mifYqXrwT/nhB3/49XvR43YcA+G7Xd20mANsrvzhHDceDOMGFqzlyvIx/2tcpt2G+EOg19tgeE97+7NslTd3U5ZyEC8Dx83zZbvd8AL2a45TSmBMWgD2ufrZYQCv2Znj6de6SfQyV9bhERkAngSZrdF3u2/dt7ZiKpy7+Jm63DP1ZXpbLVdq8viHl1nqjepZdAUj+HXbfe8d38ma9Ec2m6oa6cTVP/VhZsMbqLwk/l/DMbl7u4/vHTmDxF4tex/u7HfGXC4D+twPAQAD1Jo4hAP4BwOcUPCz+1DzhyC+jiC61ZF+Py57a0713t66BhiCqvtu/s7rBeK5Ht+xbczr5NP8BP7b94RI74z1uiO2Vn80OczywCayl4k4cL76LSotcAlOlIXc/fcNJ116xcEMvzd1QDKBISmyo/kfJzAR1P9RM5jkPF2maNhWQu6WUpXW6sZWygAKiCMCGA6/eErpfz6ufW0z/7dLVd5zH4+pc36B/dlRX95h1Xx9Ym5OTket2a9kHaupnlT964RPx2pd14s8p+1hsGCgXhrGA2pGaNlXTkG9AlNZ//GjIBqsX+XfknA8f1dyuKYaUu+oDDdOobobHO18Too8R1J+vfOLim6y2F2+5TlOeKBVC5EkDi6XuXixdDUNcmjaVxV+8RNt3PTtfhtMBzGuhu9sAHOkUFCz+1DzhxC+jyB61ZF+fnzxTn9s911u9r1r/+skfh9J/9Br4yP49p5Mg3ProZDvjPW6I7ZWfzQ5zPLAJrD2Jv9zJjxdDE8VSYvEnc894nDJDodfA7oZSKVFZ/Y+S6xLU/VAzWef+rlgAxQaw2P/qLY1Zt/Hz8rLdbvp35YFXb7kOVzzt6+n2ltGfevTsNEzTRMZ3exvGTR6W+7+/r9m9JDc3S2ZmeUbU1wWe37zg/LjFVOYJN8wRAoOljgX+db9fHhKnQ28oEi5MlVKu9n/y2CHZs9ZYUDwY/cBHK6FpBcGAPuubJy8OCdMe1/7fdI/bPR2GsWXX41NGJZLnIW2Nf9qX2yUYYlf192smhv+ee9ETCz6ee/rNnPlLKn1HNm73y5AyfpsA/D8AAbNHQQD/BbDdKT1k8afmifYqXsLi70D1Abnj8WItFGCLn9zRvU/3vg3+BpQ/NsXueI8LZHvlF0dnOR7EAa15FSeOl7D4Mwy5eu2D4+4jcZA76fFCuMRMSFle9Y/rpiag601NNIk/idX+f98SEldZP3y4UAiNMn6HZP66dc/Jd7u1npTlGzeoU+niT75dkts5u0dmpnuAqvjLOOHGqZqQRZFZvqZsoBTL6z95NJQNtHqFMn/3f/Sa5tKGBnW99JvSi++gur2u/ftCygbqUq7Y/aeLJlttL95yuRc/GcpYGgF3Sc2LV+6mf1M28JMHTr+WxV+8VNtvvXi+DPuar3/pv6EvWPP6j1MwsPhT84QTv4wie9SSfblT/vRqnyN6/ZDKkgAMNgQCvq6dvC5NQ011rfHV45e51MhYq91e+Vnr3SGlOB7ECS5czYnjJXPyYwO8mpfm4OGG8fkTHl1aTpm+ETQHEMDyqudLbAmgWIgyz/zdAM2L0P0MKVdBiN0aMII0kgTK6l69JZS16nlVWSmEyMvplHVEZrY339Cl0dkju35XZ1RkeN2aEFJ+t99/ScWiSXEvovAOuXGIyy1nSylqJAya3w4BbYQQMife176F93842+1ylUgBvxE0PqQ2Nbd2kpDIjBSEsTip/D382hcSWyGwGhIjIDCAX/uqUG2/deMRf380M3/Nex1PW0khx+JPDasTv4ysiD8qc/h1z+o0xy+yPL3y/WrX3ofq/1lymxoZa7XbMz9rPTyoFMeDOKBZHc+KTStVz51SStm9osgFHzQHUBoZM8OZI6UbNKucde5vp5pz/Jr+YkRkAunDrlf9dYhbc8+EhC+3c3ZhRqYn11zwsVdANjTUGys2/e485Sxaxok3TtQgSyJNpLmO/k9+b3uuYzge9Lnu+RX06vegbrfFK1/zho0LPtwzARExP1/Wfnz/6Zdy5i+RI7l9tBWPYKsx5/7RXAh65Ru+krP8Pw6OLP7igBZRpb2LF8oA+rKzaKI4Ag2B3W25zQvds73zszl6OB7YBNa8uJPHC2UAH77shC2/evZ/l0GiPOGrfJvBoAyg8IYyfpANWO1//Zath+C94mlfd81TKDSZ5/J6jrxoeK85Sz/d+2hNg/4PlYxf8/vQdi/S7RqswfDpQW1Dw/pH18fj6kj/5pU8N0lI7YxQ/4Tx5u7SS1+Ip82464x/2ufLbSh0aVqebhi7a6u8q7YsGlXD4i9uou22Yjzij1LW5wCIfyl9knGx+FMD7OQvozQUV2rOjFI7wf7leKDooQT7Q9GaQ6uzfWpImZ8aP66dHALxiL9HaB0WgH9HbPdC1s1Ijon2W2XxZ59ZZA0OVszPBgGOBzZgRSvKz5saQObXsfmp9Y5rt0QgHvFn0JzcKA0eurOude60VyAt6fcCoNfH10epSntM3RmaewvQPkkkPqNeLP6sg+cvIzVWzC8UCzgeKAwjFi8K8NJvmoUarCi1nT7+Et5hbjBEIB7xR3XCp3skCiPtfE6Zw/cBPA/gyWbirjuAlQBOBZAN4AEAP2Hxlyj8B7fj9GDA9qn5PcH8OB6ouSPd5ogq0jq0eoLHM9uXcALcoBMJxCP+smj1P4CTAdDZh5cB+BftrhFnBz0APgcQXgV1iSnyfhHR3sXmZ7SxbMyLM38xEbVagIMp87NBgOOBDVicKVaE1Q4zVxxPE+9zblGdQDzi788AaLVSD/NIt7cA7ATw4zjNoX2jXjbPB6YmRgP4uSkqw02S6DuCdvKgrZ4A/AZAi/s4sfiL0xNmNQ5WzM8GAY4HNmCx+FOExeIv4QCdHu8T3mFuMEQgHvH3nXm2bzkdsQhgAABa8dc1TqbNxd8YAD8DcHlEeyT+aOuOCQAOA/CmaYOcO3funVLKu5rfe8qUKXGaw9WYQMcnkMCtHTgedPzhwj3s4AQSGA86OKmO0714xN9XAOg17Cvmeb60ESYtwKCd/uO5aKEIHRmXb1amhR0nAYh8xXuFKfZowQddrW4vwZm/eNzwfR2n/xJk+xzlX44Hau7gOX/MT5GAWnWnx1O13nHtlgjEI/7olIQHmzV4e5TP7FBfBuBeAO8AeAnAQgCvAziGFnMBoAUf/wRwuplhpMUfg1paeMLizw76Q8s6PRiwfY7yL8cDNXew+GN+igTUqjs9nqr1jmsnUvxRW+MAnAnAb869i/scRdOw4wA8ASADAM0hvNX8nBaC0H1oTiGdLflTAHQ+Kx2MTZnHqBeLP7UB7/RgwPY5zr8cDxRcwuNZAR5v9aIGrx3wU+4gNxCVQDyZP5rnR+KLXsvmmEe90TYt+53CmMWfmif4y4j52SDA8cAGrGhF+XlTA8j8OjY/td5x7URm/ugswlEAaKEGHRBNWbml5rYvjiDN4k/NDRxMmZ8NAhwPbMBi8acIK0p1jldqTJ3OT613XDuR4q8KwEgAG8xGae7dGnPlryNIs/hTc4PTgwHb5yj/cjxQcwfP+WN+igTUqjs9nqr1jmsnUvx9CeBhAE+bW8VcA+CmiNW6KafN4k/NBU4PBmyfo/zL8UDNHSz+mJ8iAbXqTo+nar3j2okUfzeaq3Ej25wKgA54d8TF4k/NDU4PBmyfo/zL8UDNHSz+mJ8iAbXqTo+nar3j2okUf9TWaeamy7TylrZkWeEkxCz+1Lzh9GDA9jnOvxwPFFzC41kBXjtYrcr+VfMv104OgXhW+/7RPF6tMjkmqbfK4k+NIQcr5meDAMcDG7CiFeXnTQ0g8+vY/NR6x7UTmflbBWAugBedipXFn5pnOJgyPxsEOB7YgMXiTxFWlOocr9SYOp2fWu+4diLFH23rcoZ5JFt1RMOFTsHM4k/NE04PBmyfo/zL8UDNHTznj/kpElCr7vR4qtY7rp1I8UcncASjNEgncTjiYvGn5ganBwO2z1H+5Xig5g4Wf8xPkYBadafHU7Xece1Eij9qKxPAQHOvPy+ABichZvGn5o1EBoPrnvno2Rp/4FKPWxNujwsN9UFoMKqevrawc7xWJtK+eG1orV4a2uf4eLBt0HmlQsInhSj//+19CXhU1fn+e86dmSRMQFQI4E6CCEjEPXFFjYob0bpUY6u1GvdWtHWFVu0CSHEB92rsv1Xb2Lr9BJe6gFqBBm1VFgEVEtcKUZElIcnM3HP+zzfciUPIcmfOneSS+e7z8Bhnzjn3Pe/33W/e+50N0djsB84ZQ8PVrq65K74uhxAlGmKogK6zbTH7uFE7uq7f9ib7TH853FeHKgBrqACGjh/Rt+L/lm3Y5983jl3iClAHhY66e16pBTF+YF7wx3lBsb0FHUDM/lYo9YGSeZc+Urn/p+m071d/PvfBhRf1zQ/9dGB+4LBvG6PvR2J27TdNTb9+7rIjl6XTz/bqTPnXVwNFrHG6hhimtN5FCvGFZdt33nDccNrc3NXlJX/jH3ynQkCUCIGwgq4LqFDVs5ePqXcFpINCXuIzwcF1u5eBdBZ8HA/grwD6OiLwJQD3dnbWbvd2CWDxZ8a4V8Hgx39ZVBkQsYeDAbkVoJamlrQFoFf4zFjquHaW4dsm4sFnw06ZnWwxHbOnuBGAcz5aWwGlKraytpTVZcN3qE7Hhw6b/sYUATE6UXe/IXnj3/uqabZtY1K6AvCYuxdUCKCiIBwq6ZcXHJBoW0WjMaG0Vnbs66rKQ3ZNB68f/ZmE36CBeZOpP+GAHNQYU/EFiJGoWldbq454aeL+X6fT17Z1ps5ZOd9Wuqjt50HoK9wKQK/4O/WBdyZBomQLPxaiwbKDV5sIQK/wecE3t9F9DKQj/uit6hFnxS9lb24A8BMAo7oPdud3YvFnZgmvgsF5VQubcvuEciNRGzoW25ATCr3QGImeE84LiaZNETxeWZKO//EwmZl5veZvm4gHn+5x4iE6FK6VKlIBqDKt9dIHziqe2BWVc1Z8MyteRohZuVZoVkusuVRDVNJHsf6xinGDBzd21Uby94dPfa0QgeAM+sxWYqaQ1pKL9uu75v+9991srcWa+dcfeXEq7VHZ46cvCts5jXEhWtQ/dILWWrdE1edfR/RX24fkTvmW2Jm+k9GmCx685MgnUm3fq3iQ6n07K3/J4+/OD+cFijY0xOZftG/49DvnfX3GTgP73mVZImfN102T/nZZCf1GGV1TXqkbq0Ts79RIICBuD1jBF23bvj4as08QUq6bVFY0ws0NvODv5PvfKQxYmKGBxhjElBwVXGNb0QqhdRkUFj53+UFxIZzO5QW+dO7LdXqWgXR+fGmRx/YAvnGOdNvDGf7N79mufH93Fn9mlvAqGPzo4YV2n3BINmyK6OrKknj6j4aBYYmKaEzhz+cfkI7/eS1ezMhqp7ZX/HkOzGnQY3zbVDy47JmVBVI1V2mBNQ+cMbpTofXy6tXhwLpANYRoLNtrx9bs32vLv5kiBEYrHZt03MjBKQ3VHnLbm8WWBfqhrpt33VjaHD/uzz955ot4ZnIDmisWXzcuJUF55J0LioMBTA5I/c3u4dC5lOd7+MKScNndC+LCdWie2F8GAgMQabnxoUsPjwvPVC6P/SWVW3dY9qp/LPqUhF7t1+uOufO4nT8oKioS5//pnXt23C7nrG/Xtzz56IUH0alTRte0Vz86PQpxvxTyq4nHFu2XaOz3r368mv7+1XF7DnZzAy/4o+FeKVChNKpnX3ZQXOj/4IFFBUpGqgCx5rlLD0z5pSGB3Qt8bnjgMv5iIJ0f37kAWpwVvw8COAXAZwCO8UvXWPyZWcKrYJAQf41NEf23izaLv/MfqVmfk5fTr7k5hscuPCgd/2PxZ2Zer/nbpuLB5U8sKhUBayK0rrv/rOK4+OrsSmT+krN8c1d8W6WhC0zEX3KW74MPP9aXzvpfXPzNu25seVeY2n6fEH+AXlPUN3Qefb8xIvatb4n8gf4e2kceKS0rtzeJvyv+9t57OTnWEMry/e64AVUk/i76y7tP96P5fx6Lv+QsH80BVC0NccHfE+JPCzFn1iUHzqT7j7+/plRa1kSa+zf70oO79OWO/MqreJ+q33L5nmUgnR9fWujxJwBHAIg6p3vQW8fKnu3K93dn8WdmCa+CwYVVb79r9QnG35gbGiNaQuucvJC0pECyIEwVrVf4Ur2v2/JZhm+biAefFp08SdBiD2A8gHxAzrn/zFHxH9HOroTQgxBroNRcIcVorVFM2cDYdtHKVId9abFHP+RVATqstVgioJaOHdr3b29+0jBbA/XzrxsbH1JO9SqbuaAKAgV7bJdzvCW1ZQupNrXE1uUErHBIqQBlA5UKjkpn0Ycf/TmR5aM5fkV95V4ffNPyTL/8nMOIt0++XHf2s1cd+WaqHLYtT0LPbmn8j4DOkZZcKbR6T0Eep5XqL4VcPPHYIprv2uXlBX+JYV+6mdZ6joaoF1KMF1rnJwvCLsG0U8ALfOncl+v0LAPpiL8E4hxnyxe7Z7uw9d1Z/JlZxMtgcO4jCxXN8UtGRHMAQ1JWP3ze/uemg9RLfOncv6s6WYrP1/GgzYKPeiVzJz54+rAuV0m+unx1sZRByhSGk+0uBGYes9eAOV35QnvfHzLtX2WW1K2Zms0LPpqfsG09Jd0FH4ff9VZhjrQm9guJkgH9ckdKIQWgoaKx+IIPRKN/fuiSQy9LB69f/bny0Xdf6RsO7JO84IPmAD7yk/3PSKef7dW57fWV18Zi+trk72gYGKE+x088coirRSVe8Vf+0H8mxOf4JV1aoN6yQxN5wYdXFs+edtIRfwcBuAvA/gAUANrygALZB36hjcWfmSW8ClYJFJQBbNF6DP2/JXWDyTYv1IbX+MzY2rp2luHbJuLBZ8NOib9o6Jhd52aVb7JVae5fcH2gVAtZIJTdmBPIrTlsWN8uhWNnfnXo9PkFQsVKhZDh64/Y8W+/mvd5fqpz/dq2Tws/oqHG0tyANXJAUI3LAXItYK22xD0PXVQ6L10/97M//+Duf40t22v7N97+svnejQ1NT3mR8WvL0+3/+nSUHY2eq4DtpJTv33B0YUqLSbzkjzKAMrHiV9l1s68oTXvLoUQ/vcSXro9xve5nIB3x9xHFUAC0uWsQwDgA9Aa0b/fDb/+OLP7MLOH3YMD4fGVfjgdm5uCXGebPkAGz6n6Pp2a949odMZCO+PvK2eA5sSJtTwD/BdDPLzSz+DOzhNtgUPHUhyMKAvYfhdZ7x7MqQnxQH7MurT5zrxVmCDqv7RZfJjF01naW4eN4YOhovcVfOB607wi9xb6Gbs7VfcZAOuKPVpAtB/AUbR0FgOaR0HyYKU7fmnu6jyz+zCzgJlhRoN85Ry0ROu4DrZcWUF+2yOJMCkA3+MwYMKudZfg4Hpi5S6/I/HE86NgJsiweGD4NXL27GEhH/NG5vlYnANNp09P+svgzo9NNsLrq6Q9qcoLyIKVpGpX6N90xYMlDpICIxNSCmafvTavBM3K5wZeRG7tsNMvwcTxw6RcdFesN/jLhmQ/eCgXkoRwPtray1/a95B+Li6XSujGCusfOH5PSnpDt+aDX+AwfB67eTQykI9R+42zx0hHE33cT9g5vw+LPzAKdBYPzHl0UzguhIpwTuM+yRKglqr+NKvWs0vruvIB1P/0AxGz13V0/2Lv1iCkzNJkPpozPiAGOB0b09Y4FTNc8+8E3AUtun/zilxCEHA9WadqH0NBNcOFfFxeGQuImrTGotS2tqv949pi0jhlMtMHiz9Qy22b9dB3yQAAHA7jfOdbNs4O0vaCRxZ8Zi50Fg0ueXFoptC7PDVnHBaXIaYmobyJK1QiBNTmWHBEXfxpf3XXqyF3MUHRc2+/BKgvxcTwwcPbe4C/XPLf8i4DAkHbFH8cDY/FHL93hPDnDEX710KoeQsbPh7aVmlJ1zpi0V/363f8MHi2u2gkD6Yi/6wFMA0Bz+/IA0JAfHSM01S9Ms/gzs0RHwWCfm+dUDNg+5/d2TAX65AZbhu/UtygYslRLTK0VgBW0rP4SWjRFYi/ee2YxbaabkcvvwSrL8HE8MPTy3uAvP3tqyey8UOAkmvMbtfUCoiRoiUNpTvC2Hg/2ueXVUkCMB/RQQNRppZ9Y8rvjXB/r54V9L31yURm0nACtlv7x7DHxM6kv/seicglZmfxZOq7oBb507st1epaBdMTfFwBOBUAbnPYHcAIA2vcofni4Hy4Wf2ZWaC8Y7HPzq5OkxKHhvOAB0Ig1NMfeHbhd7vF779Y/GAxatKGsEBAq00M81DO/B6ssw8fxwOxx6zX+nBj6TaZjW48H9MIrpG491znRN2XrSW4FoBfx4NK/L62A0BXQovqPZ4+OD/Ne9syiAh2TdE5140NnFW+F0a1beoHP7b24nH8YSEf8fQuAtnepdcQfHalD51Lu4Jdusfgzs0TbYFB862uFEpgBjfq9dtturz65wcYPP9uwbFNLZNiQHfJG7rXb9vEh3lhMzb/vzNHHmt2969p+D1ZZho/jQdcu22kWIcVHAAAgAElEQVSJ3uQvlAEMBgPxIx2j0dh7mRwBSJCaKf72ufblsMi34kJLKzUTQi+BCJQL6HKtsWbxb46lY027vLzAl8j80fSaxiZ1NS30SEzB4cxflybgAu0wkI74+zOAEwHsCGApAJp38BiAn/qFYRZ/ZpZoG6wSb78aYtYhowpoW5+ylqgd+vjzdaMDlrRH7L79Ii1Q99BZxWkfLp4KYi+CaSr3S7VsluHjeJCqg7Qpn2X+YsjW1tUzxV/xr18tlpaYrLWqW/yb41tj25hbX6NpTlh067HlbjrjBb74Qrs8WSV0fFu1LS4FVfXwD8fEMaVzeYEvnftynZ5lIB3xR/P8bgJAGR6a90cHaN8OwHjJuVdUsPgzY7JD8acwZ8ywgVV9cmXldxubz/zym8Y9QwG5afgu2z0hgpjx4OljjI68cova78Eqy/BxPHDruB2UyzJ/MWSrJ8Tf91m+5Gxgd4o/6jVt8SIgSIQWtLKQNAycLrF+9790+8X1OmcgHfFHLZLz0Q99AMAQAJ/7iWgWf2bW6HDYd/PwB831rIcQ46XAdkqJVxb/9tiZZndMrbbfg1UW4uN4kJoLb1E6C/3FgK3uE39xoRe2qiAQ1hpLaHgVQh4jBAZppRcu/u1xk910JBP2pUygF3v8Ef5M4HPDC5fpWQbSEX9nA3jYOc6NFnyQCDwHwDM925Xv787iz8wS7S/4eG2CkCjbomWNeg174uLfjOuWjF/i3n4PVlmGj+OB2ePm+x/fLPPnLay5z82vlAkpt5jOQsPAaNQTF98+ztVoVzbzZ/hocPUMMpCO+FsF4DkAv3BO+rgNAM192CuDOFNqmsVfSnRtVbijYEULP4QSJfEKgubBHJf23lImCDmYmrDn+Zs+xwMzc7D48zl/+9zycgGEKIWywunEPY5Xhgbm6hlhIB3xtxFAMYBPHER7AFjsZALTBUntVQEIASBBcXkHDdFkVzpX+AoAz3d0MxZ/6Zphcz0OVsxfCgxwPEiBrPaK8vNmRiDz17v5M+sd1+6IgXTE3z8BkOB7ifI/AE4mveDs95cu03MB3AjgbQBPAviT037b9qYDOAoAHSnF4i9dtruox8HUjNgs44/jgZm78MsW82fIgFl1v8crs95xbS/F3+4AHnJEGIm/fwG4CMCnadIcBLACQJFTn+YQ0dFxv2zTHm0p8ysn4ziPxV+abLuo5vdgwPhcGLGTIh7zx/HAzBws/pg/QwbMqnscD8zAcO1uYyCdzF8CnHQyf7YhWjqkmrJ4BzntHO4M656b1C7hfJFOtAHwMwAs/gxJ76y634MB4zMzfob443iQplkyZI800WxdjfGZUcn8mfHHtTPDQCrij+bi/QDAsx1AKU0TYlvxdwSdXAPgR0ntXeicIEL7CdICk1bxN23atFu01re2vfdZZ52VJhyuxgz0fgaKiopSefbbI4TjQe93E+5hljDgQTzIEqZ6TzdT+QF4zRFkf+2g++ke60V7BX4MYKjTLp1ReACAa5Pu8zSAXQEo5780yfw8AO+0h4UXfJg5KL+pMn8uGOB44IIkN0X4eXPDUsdlmL/ezZ9Z77h2RwykIv4SbZA4oyHY9R7S+gqA3wF4y9lG5h4A9OMywllMEk261xaZPxZ/HlrBaYqDqRmnWcYfxwMzd+E5f8yfIQNm1f0er8x6x7W9FH9fARgP4D8e0joKwCMAcgC84ewhSM3TQhDKKH7B4s9Dtrtoyu/BgPGZ+YLH/HE8MDMHiz/mz5ABs+oexwMzMFy72xhIJ/P3RwDjALwAgIZfExdt1eKLi4d9zczg92DA+HxlX44HZuZg8cf8GTJgVt3v8dSsd1zby8wfzbujf20vmrvni4vFn5kZ/B4MGJ+v7MvxwMwcLP6YP0MGzKr7PZ6a9Y5reyn+KFuo/Uwpiz8z6/g9GDA+X9mX44GZOVj8MX+GDJhV93s8Nesd1/ZS/A0AcDWA/Z0MIG35cDeADX6hmcWfmSX8HgwYn6/sy/HAzBws/pg/QwbMqvs9npr1jmt7Kf7oKLYjnVW4dDoHbdEyG0C5X2hm8WdmCb8HA8bnK/tyPDAzB4s/5s+QAbPqfo+nZr3j2l6Kv3UAaENnWolL1/HOxs9hv9DM4s/MEn4PBozPV/bleGBmDhZ/zJ8hA2bV/R5PzXrHtb0Uf7MAXAfgQ6fRsQCuAXCaX2hm8WdmCb8HA8bnK/tyPDAzB4s/5s+QAbPqfo+nZr3j2l6Kv3878/2WAqDzPIsBvJu0AjjdY948s1I2i79rnl22oSVm52stkBsKtPSxci6YPH7o31Mh1+/BgPGlYs2ty3rM3zYdD/5du6FcQo0mlgTkkpw+feeOGSwazRhOrXbCHtPmrioTApuxKL3kurJhNKTe4xfh++93oX0syyqhaT4aqBdKLTzjgF1ovvcW1zl/frdMCkF9CGshlwSAuY+dPyYjfN704scDhdI/H5Rr//rzBv1KKBBYOOWU4Td7Tdgdc1eVabKL0AWAWKpbwrOuGzfYdZ86e96OvHNBcUCoEiHEUK11XQR67t677DAUQo0WQhZorZdu2mTPSnB4z7zacq1k3EcgxJKWfjlzrxvjHkt73HgcD7ymn9vLEAPp7PP3JoDkEzfaQkv3mDfPupit4u+yfyxRLTF7C5tKSAzu2/ecVASg34MB4zN7VDzmb5uNBzWr1k0Rm4VK66U1avPC/SZ1pwAkezzzif4VpCBxlYRF1Vx/zJ5TzKxtXnvxh7X646Y8mte95SXErDPGDK5KfFjx6H8nCWzZB6FFgxTyYq8FIAm/5pbIKzGlh4QDYlBjTK8hHEFLrLzztL0PN+/15hZuf722EkK3nc/eEI3Zv7rp2OG1bu7T0fN21B3zSq2AnJjcRtCSuw3sl7Mxv0/wu8TnGmiItKhfjdm1b2Xi5SDpu9pIv7xJJgLQ43jghhIu4wMG0hF/PoDdOYRsFH/XPLusYWNLNCwgEA7JFmJoQ7Odo6GxXW6gZcbpo3PdGs7vwYDxubVk++X8zp9Z77au3V48qKlbXyo0JmqNRi1EtRC6HhoVIr6ATcwqKezXKmq8xtO2vX9/sErPq6dFc7pRaV0NyEYpdCUgwkpj5g3HFM1JFcM1/7e82Aro+JZct58yikZp0r7mLP1cr4sFZmutFyrbnmUFgyXQmwWREKLy9DGD6+MZP4kJABptW88UQhRICTr6L6wUqp64YH+aHuDZdePsD//cGImeEJLiq7JdA/v+a7U9ualFnaeAnPyAvmLqqcXPmN5s+vyVBSIqNvuBFrME7KUKokwIUQKN2muPLqJdL7q8OnreymbOryYba6UXxrSYlZtjHRuSuEEIEdtlxz63wraXainLhBQlIUtuKhqQ12cz57pKKatRCEU2GKqFmDXh8D3S9tdsiwddGixLCrD46wFDe/mwXfP04kIZCFwVU3qC0kBQCiWk/JNS+m6t7HfWN8dycgKWfvCHxTRE7+ryEp+rG6ZYiPGlSFib4n7nz6x3W9duT/wtrFtfERd7AnMOHrrdTKr11kfrCkMBMYOyf6VF27n6YfcC6wv/XamXbRCzlVZVNxyzZ1wk0RCwFJgggDnXHl0Ux+fmSsQDCFH4fXmxhuLBXaeNXOKmjbZlXlv6hV4fs2afse+Q1gzY0+//rwoQBXYsNumHB+66JJH1s2095e8/PSA+HHzOn98tlxKVGnph9fkHTE7n3h3V+eWzH7wXUXpIftA6u3Lv0BtFRUXi+lkfPt0UjR4WDllP3jZ+5M9N73fbm6uKAxqTBXTdL48aRsIW019eHRY5jdX097VHFbna4aJj8bcgbus5Ew6Nt3PJPxYXr17b/HzMVnZDizr1X784dMl5jy4K5/exqgNS7LznwD5fJgu9u976qNBCcIYGaiccMTRtf822eGDqF72lPou/HrCklw/bL55bPoWGAmylx0diCjmWVNISLwBijR2LnUfiLy8U0PefOZrFXzfZ2kv7ZgKy3/F53efOxF9ylq9V/AF1pYXbxX/su+N65f1VetF3mJ2c5Zs29+NyKWRlquIvEQ8It9ZYGs9kCoQpHtxRPuLidPqTEH/5QlSMc+aXtRV/5z723gRoXZac5WvNBgox52/n7edawLrB2J74S2QDvRZ/yVm+TIg/KxKueOW6MY0k/tasa34uGtO6odk+rT3xJyDn/PyI3eNcfi/+RP2EI/aodMNbe2WyLR6ky1Nvq8firwcs6uXD9stZy+Nvj3ZMH72+OZJPc/z6hUO20FpsbIrJmLbRPy+08a4fjOrntqte4nN7z1TKMb5U2Nq6rN/5M+vd1rU7G/al0gLiYS1Fo7ZVuRAo7KlhX63RILSugiVpKJCykvmpDvsm4oGIBStvP31YPfXvl88tryYBqBQmpZP9e/ODz/Q30eBsaF2jpZwjlCqGEO0O+9IcPyUkZcYapVaVWuh8pTDziQv2T3noujM/SAi9gBRfjd0ltO/ba/TvNrZELqE6mRn2VbO0DiwRMlYGyFIaor/2qGE0rN3l1dWwL7SqUbDmBC0cGgrIG6jBgf1zpgWDwQWWVmUQotQSMnd4QV4zIBoAUS2kblRKlwugkDKrE44oTDuzmm3xoEuDZUkBFn89YGivHrZrX14U1i0hCrQNd5SPPDex4CMvFIAlBTa1xBC0ZEpDvkSHV/gyRS3jM2PW7/yZ9c6d+KNS7S74AOry+vSb6IcFH1B64XVlw1z/qLeNBwkmEtnAdMXfso9W6eWb+jxB8/e2YNfFgo9MDPkSBlrwEWmJvEJDv8kLPkJSrrrjB6MO88qHOljwAaHVlF8evedWq53bu2+qCz76hUPYsW/osy3aitlTRuzUj15OtligFH/xR/Tqa45wt/gkFXxeccjt+JMBFn89YBcvf3wTb/oaesqd5aNqrn5m2UZI5Me7pdAw4/RRfVPtopf4Ur23m/KMzw1LHZfxO39mvXMv/qgkbfViCT3U1jofkEsOKezn6cIEN31J2IPm+VnOj7utsTSdhR5t48G1z6ws0IFofDFAcjbQDa5EGcK3siGcvxEop6yflHKNisU63urF2ryCWtl6qdcZv2TcJAC1ik4YlCsmfbVJPiOlvfy2U0b9KpW+uSl7x+sfl2opS7TGIKFFbUzqhTeOLXI9f7Kz5y2+1YslSgQ0zdFcY8fUwpE794UKBEuktgcBotbWauFDP9wnfj/a6gXaGqq0GiQElgRl3pzLDxscz/Cme2VbPEiXp95Wj8VfD1jUy4ftl8+tmAChy5xuNNCoR/xvoWfdMX5UWivAvMSXCXoZnxmrfufPrHepiT+v75VOe17ag+NBOhbIbB0v7ZsJpH7Hl4k+c5s03aUXXr11q5eyW545Jy8n9wItxXfrm2P3zbt1/Lz4UE9zDu1FlRCARsKP3MHvwYDxmT20fufPrHfuxF/uQdcUChEoUVI2tEh7IRbcbpQ9McGcij2Of3RROKexuQQCg2xh1b546YELk+/N8cDEEpmpm4p9CcG1L68syLF1ia1j+QJW7dSTh29hY69RporP6/tzez3DAIu/HuA9nYfttOkvf9yvb96uCbgxW8XWrmt8/J+TTr4s8RkF/tvHme+mnw6+7qSR8Zmx7Xf+zHrXtfjLPfj6SbR3WqKk1roBCo80v/MHTxcluO2HW3ucfP9bhVLk3ETCrxU7UBvpkzPplXZO0eB44NYCmS3n1r6E4qaXVpQLjbYrd2sjVv9Jt6dwqkgqPUoFXyrtcll/M8Dirwfsk+rDdsqUl/654475RzVHIs1Nm6IfSCkKSAiSAPzs640nUAbQy26kis/Le7tpi/G5YanjMn7nz6x3nYu/vIOvq4CUFRq6HpA1WuuwFCgjAdhsqau7KwN47curw4kfc7f2GP/gwvjeetCogxA10LoUAkOhdM3sK0oydhKIW3xe281te70FH/lEUK1/WGidrzXqNGSNgCoVgo7U0zVTTxqZERv7nT+3fsDlUmOAxV9qfHlS2u3DRsEgX6+v2NjYfJ+UkvbrX9WnT859m0S/qpWLF71PArB+7cbn/jnx5LM9AeY04hafl/dMpS3GlwpbW5f1O39mvetc/OWUXD9TCjE0pvWU6MI/xFdr5pTcMIEEoIKuaqn5Q8YWfPz6heXF0gpcJYRuzdwpheqfDLf+RpsUd9bvk+5ZUGwFA5MBXT/7spJ4Zuj4BxYV5IiW+Lze2Zcd7GrD4XS49bu/9BZ8N7ywvNgSYrLWqJ968oi4jWkIOGTH4jaectKIjNjY7/yl47Ncp2sGWPx1zZHnJdw+bLe+8nElHaO0sbHpRGghQznWv3OCwbVKYM7779X+sP92fQ5Yu7bxjecnnniClyDd4vPynqm0xfhSYYvFX/Ic4NzS66sEREGTtCsTWb7c0hsrBXQ5lKpuent6/PQGry96kQvrDQ/T3n1t2z5qsBx/1JhhrsQfnebw/GUHt57mMP7Bt+NilcVf5+LZa3um0p7beJUQf9B66ZSTR7ae+TvxxRVxG7P4S4V1LtsVAyz+umIoA9+7CQaXPbX0jB37BG6l29d9+s2OAaF2sJX+bLfdBtRHI6rgiy+/LggFA7lf1a+749Wbyyd5CdMNPi/vl2pbjC9VxrYs73f+zHq3de0txJ8z309pNafF0tVBWxZaAhcJiEHJ2UCvMdz80odlUooJGqgD5OTfjBtWn3i5G729GH/mwXt2GovjCz02tWwWplrPUDryiUToGMjNmy0niz86EiwnB+UScrTWql4DC6vOGeNqT7r2+u13f+kt+G58fnGhlKEZZAMB6+EWSywMxCJ00kvcxiz+vH4qs7s9Fn89YP+ugtUlTyyaFAxYx/bLtUbGNDZ8u6G53m6JHKwjLWrgwP5BKQXq69dFaQ7g339e1t/rLnSFz+v7pdoe40uVMRZ/N9544+ZYd+i1Bbm2NVPEjzz7/qI5gM01f0j7iKyuLHLzKx9VSI0KJVD92+OHx0Xcrc9/VIggZuyRL8ZfcFjn4o/Kj3/wnQpAt3OqhKiefdlB8TYv/OviQiuA3wuILTOMWsx66JzRvPVTV4bKwPepxKuJLyyfArF5n8TkS2lZfdvJm/3G6ysVfF7fm9vrOQZY/PUA9509bBdVLyqzpJwQsERgh3BwR63RXL8x8j87Ftu1ZUNj0eBBfQdAQ31cu3r52sbIz7xe7EF0+D0YMD4zp/U7f2a927r2Vls/kQCMyYshMVRrNNJGui2WXZ3JxR63vvRxOaSu1Bq1vzlheHzYNpENdJP5S/Rq/P01pRqyPL7QI74oQNS8cMVBrfMUK/++ZKak83y1WqiAORLWaAgdzxzJoKp88PQxKW9p43d/6U34aHpAILahXMIuhpBkxzotRc3UE0dkbC6q3/nzOh5we5sZYPHXA57Q2cNGWT8IWQIpHxvSLzCO5idFbb1dJKaGhAJWS9CiYSO99NZxe7XOCfG6C34PBozPzOJ+58+sdy7En9c3cNHeLS+vLBBQ8cyb1mINnQ27+Rxh4ISd5fjS0Z3P+XNxi3iRS/6+JC4SmlpUxWPO9i+tgjCqJz30480nRaRy+d1fGF8q1ty6rN/5M+sd1+6IARZ/PeAbbsSfFqpqcDhUJwNygq1QbNtqdymtrwMW5ibmDGUKut+DAeMzs7zf+TPrnT/FH6GiTJ+QolIknZFLw8A/Kep6ta9bTtoTfxc/saRKCBSAxZ9bGj0t5/fnze/4PDUGN9bKAIu/HnCGzh62i/+xqFxoWamhGyRkfI5HwNKXAaKPgH7k3jOLH880ZL8HA8Zn5gF+58+sd/4Vf4SMhvXyYt/FM35Nge1raa8/L+1x8d+XVJO4VECN1oqygKWWs2CAh3299ix37XlpX3d3TK2U3/Gl1hsu7ZYBFn9umfKwXGcPG63Uy82RVcnZgfit6XDvc8ZM9hBGh035PRgwPjMv8Dt/Zr3zt/hrr29e2qPyiUWlUsitp4Twgg+v3cp1e17a1/VNUyjod3wpdIWLpsAAi78UyPKqaOJhG3HTyw9C6VJqV1hYsHzKCVfQ33EBmIsyoVCspWxQtlr6SMWYbjt6yu/BgPGZeaLf+TPrXc+Lv50vf7pUCFmitQprYS2xN+bNXfPYuMaO+uW1PS55fHExAnR/uxCWXKOV4q1evHaqFNrz2r4d3frAKa9fFIA8ybLEINu232uB/cB7E49d1hXU7sLXFQ7+vnsZYPHXvXzH70YP28kPfbjSjqnWs3rpc8uSn634w0nDewDSFrf0ezBgfGYe4nf+zHrXs+Jv1yuepa1YttiOhTZmjm7sM6kjAeh3ezA+M4/sDv5Kp7x+TyAUOKst0sZNTWe/d/Pxb3bWg+7AZ8Yg184EAyz+MsFqF21e85cF+vnFa1sgYAeC1vMa8js7Gj0PGpYVCv55xdRxl/UArNZb+j0YMD4z7/A7f2a96znxN+jypwtDQs5QWjdq6GohZaPQulxADNVazPrigdPa3WfP7/ZgfGYemWn+9vvtK2PDffL+Tigj0UiVtuW6YEj+SEo5JBazF9fceNTxLP7MbNgba7P46wGrHj35Vf3F2paWQMh6bvnUE+Pn8tIQsB2JXmAFAytW3HbCvj0Ai8WfR6RnOtibwvQ7PtP+ta2/1T5/Xt/AaS+R9dPAnC/u/8FM+jghCCn798X9P2g9li0Zgt/twfjMHCbT/CWyfrGo+mfNTWMvILQJQaiVXjf/+iNHsPgzs2FvrO0X8VcMgN6KQwDoGKLL25BNOO8BcCQABeAaAK93ZJDuCvbpOkRC/CVn+Ube9NLfYxH7VBZ/XbOa6WDaNYLOSzA+UwaxTcaDzsWfrvvi/tMntMcM+4uZv2Q7f63iz1bza24Ye0ay+FNKfbXg+rH7sfgz87HeWNsv4m8ugBsBvA3gSQB/AvBSEuEnA/gpgDMB7AngaQD7bKvi7+KH3tJvfLi+RQgZs0LyUUBub0di47VWAR727foxy/Zg3zVD27Y4BWgvy20vHtBCD1ppq4EGBVEtlGoUUpQLoJCHfU29tuP62R4PaKFHbigwGRrN0Zh+VAu1LiDEedKSQ5KzgR0x6Hf+Muc52d2yH8RfEMAKAEWOKWgY9GAAv0wyTR8AVG49Nm+QuhzAbtuq+Jv/7gp9wd9WbqI5fsl9sALy8xXTTiJx26OX34MB4zNzD5/zt03Hg10vf3oKhNzibFYNXRfdGJ7ICz7M/HZbFS/d8bwdetub82VAJn5D41RR1q/+O3H8yqlHfs2Zv8z43rbcqh/E3yAAzwM4yCHycAC05cm5HRB7kyMAf7Wtij8KBoff+cke/ftF/qCV3h9CNkKImp5e6JHgszuClclDw/hM2PP92c3bfDzY6fKny6WQQzV0vtZ6yf8eOKPTc1nZn3u1P3fbWekHT53zeykDI6F1X6Xtt9++qazD38hkxv3uf2bewbU7YsCP4u8IALTa9UftgL4IAM1pOBVAlL6fNm3aLVrrW9uWPeusrVa9sxcwA8yAw0BRUZEfnv327NFW/HE8YK9lBjLMgI/jQYZ7nr3N++EHIADgYwBDHTPQHlkH0ElIbcxCYpCygST+mjszmd8XfPj9TYvxmQUE5s+IP44HRvR5X5n92YxT5s+MP66dGQb8IP6oZ68A+B2AtwA856zsfY12QKE9kQEUAHgWwFg6ErMrKlj8dcVQ599zsGL+zBgwrs3xwJhC7xrgeGDGJfNnxh/XzgwDfhF/owA8AiAHwBsAfuF0lxaCHEsnnjnbu9Qn0XAIgI3t0cLiz8xZOFgxf2YMGNfmeGBMoXcNcDww45L5M+OPa2eGAb+IP097x+LPjE4OVsyfGQP+qs3xwMweHA+YPzMGuLYfGWDx1wNW4WBqRjrz17v5M+vd1rVZ/Jkxys8b82fGANf2IwMs/nrAKhxMzUhn/no3f2a9Y/HnNX/8vJkxyvyZ8ce1M8MAi7/M8NppqxwMzEhn/no3f2a9Y/HnNX/8vJkxyvyZ8ce1M8MAi7/M8MriL4O8cjA1I9fv/Jn1jsWf1/z53V8Yn5nF/c6fWe+4dkcMsPjrAd/w+8PG+Mycgvkz48/r2jznz4xR9mfmz4wBru1HBlj89YBVOJiakc789W7+zHrHmT+v+ePnzYxR5s+MP66dGQZY/GWGVx72zSCvHEzNyPU7f2a9Y/HnNX9+9xfGZ2Zxv/Nn1juuzcO+PvIBvz9sjM/MWZg/M/68rs3DvmaMsj8zf2YMcG0/MsCZP5dWueWlj1uCAYSklLCVQkuz+uL34/fa1WX1LYpxME2Hte/rMH+9mz+z3rWf+Rs+7vyZGggDqBNSVp0+ZnDyaUGtlUpurxnVN2jfJYXYXSk0KS1qC4f0e3TETnkHA2IooOug9FLdEp513bjBjZ1hfX3Zt6XC0uNb60lZc9SeO8xuW4f8ecaHqiBkx6YrW4wBdJ6Q+FTHMOWu00e+mVz+8qeXlUro8UKIoVrrOq1lzf1njtyqTS859Mvzdt+COjr3vURoEVYadZbIrbr8sMH1fsHXEeeMz0tv5La8YoDFnwsmf/vyxyoYlFtx1dgYS0sAcjBwQXonRZi/3s2fWe/aF397nvCTVoEktG6AlFe3FYAk/Prl6BcFkJtoJT8vENhrcN+c/uHAfEvKSGvrAkuuPbJwUkdY3/hobQWUIrGy5SVl9VHDd6hO/nDJhyv1n5bH3gfUkK2KI3jMHaftuYw+v+Kp5RVCbN2m1rL6/jNHbtGmlxz64Xm7Z37tJClEyZb9Eg1S5159/ODGNUVFRb79LfMDf535g9/xeenL3Nb3DPj2gTExklfDPNNfXh3+uunbV7fvl3uIVhqNzbGvYgj9tU9Q/SIUFDIWtfHrccNT5tDvDxvjM/E+gPkz48/r2hQP9jzux4eIQKBWABVK6zKt9cIz99tp8tTXPioMBqy4qHhtyZqrtRB7RBXmNUbEr3PQMuLAYQP/EgrIYHNz7Imd+w64UuZuKtNAJZWPRmNX33Ts8Nq2eF9evTqcsy4QF2NKYGaOlbMkYhlWBHwAAB85SURBVEfKhdbl9NlRIwbE/5u4/vbvD/U7a+w1EvhKKXE1fS6lnqGAIZawnrz91L1+ft7Li8L9Gja3CYWZtpWzxNKRcmBzm/edsfcWbXrJYU/7811vfVQYsoIztEajFmpKQIfXKNFSAagypfXCkwbr37P4S9/iPW3f9JFzTRMGUhYuJjfrrrpeiL/p81cWiCgmb2zSF+bmSBmJKB3Olc9DY87XjWKX/n30tUprTCobljKHfn/YGJ+ZpzJ/Zvx5XTs5HjyzaHWB1roKWq+p29C0FBplifu9ueLro5WCJa3c42dfuu88evnboNYvidp6p7c/Wvvw3F8c+nMqO/2NVVOEEKNj0JNuHFu0pC3eN5evLtYiMJmGmI8aMWBC4vs3Vnwzi/5u6R+rGDf4+yHju15boT9rUGsCUtw+vXzk7VTm2udXXGTH1GQhxKo7Tx152M/+sbhYW9ZkaNTdd+berW1e+fQH8TY35McqHhs3ptNh6HR57Wl/doZ7KYtafeWhQ+MC+IH5qwuUaKoSWqwZN9iuZPGXrnX9/7Kafs+4ZmcMpCxctgU6vRB/N/9zxW15AaukOYojSfxFo0r3yZHPU/+/a4gemN8nOETZCpOO2zNlDns6mHZlQ8bXFUOdf8/8mfHnde3kePD0f78ohWVNbIrZ365uaNmR7kVZQCFE7b9WfHO/rZA3IBx65i8/2e9c+m7SSx/+z7b1Dks+Xf/4C1eWxDN+d7xZW6WBAhJ/c99uqI2EGoa2CrwJhy1tFX9CrDlqrx0vpu/mr9xYEI21VNHfbTN/CfFnSVTdXj7qV3Hx99yH99jaPktKa/4d5Xud0Sr+INbcd8aoeJuXPbOywNKb2+zNmb975tWWSykqATnnykN3n0n9vXteXaklMVFr1J04WF3F4i/9p8bv8Sr9nnFNFn8p+MDhd71VmCOtq/bdrW95bjDQZ2NTNDBkx3D8RyIWU5oEXyBkCSkEIlGtbhk3zEqh+XhRvz9sjC9Vi25Znvkz48/r2vFh33Hn0/w8WuRRAiEGrW2OfLe+ObY9Cb/rjh5GWTqceH/N6xLiEAFsaoras7QSffcbut2JwYCUORZm980LPgOBEkAUQujGN95fe1ezil6tBfKTMNfuuVvejHNG7TYVWoc1RC2UWiosWQKtB2mI+qNH7BgXkYkrMewrIJqFwH83C1IcoKFzE4Jw87BvsArQYS1ErdBqKSBLAGpT199/xugt2vSSw572Z8ry2WiaKUR8wc6czXYU4wGdT4LwhEGxGSz+0rd4T9s3feRc04SBlLNWJjfrrrommb+ymQumABh94NDt9s4JWfa7dd8tPahwwGmhNgs+aA7g+mZ5+7RTCq9LtV9+f9gYX6oWZfFnxlhma8fFX9KCD0DXf76+5Z2YVifTUOK1RxXFhxLH//H9w6GbX1JKWFFbbaDPaMHH8CH5TQPyc95LRtkSif3x9Q+++dFm4acbAVEH6KGACEPrJZNO3Guu1Ggdno3XFaJRqOiUsSMHbzFUTM/bfUsjC7TWRcn3SAz5Jj678skPyiDbtAnRKOzYlHt/uM9Ww89eseqHeHDvgk/LoFWlIwCdrol6qXMn8oIPM0v7wb5mPeDa6TDA4s9h7VGaC9TSUlH3bfNVOUGZs11u4IuoUtGojafeWFE/tnBA+Mjt8/O2p+Ix214z+ZQRO6VDONXx+8PG+NK17OZ6zJ8Zf17XJvE37MQL4sO4IharO+OAXWqchR4zADTEBKZaAb1GRHVlY1Qf+cn/Nm769NuWL6l8NNb8VPmYUf+ReY2lWsgCoXSjCqia2QvrBwUtTCbhN2fCYfFVvc6oAbWJORMOLaeh3lisuVRLK6y0qo9uF6tJnuuX6Cf5y5trA0XfNUR+G1VyX/o8KNX72+eHbr7woN23WFBCQ70B3VKqtAwLreo39IvVZGquXzI+P2TWKAMY05tKpRRhW6HuqsOH1vDzZv60+D1emfeQW2iPARZ/AB5dtDqso9EZylY7fdsQPUAIxAb0Cy21bT16Y0us7ttN0UF2TPfLzw0sD1jitcQwUbou5feHjfGla1kWf2bMZaZ2RyMB019fOUlstX2IbtRBTLjusGHt7gOYQHjknQuKN4s/LJ0z4dCJic/LZs6vpuyfFQlXvHKduwUYK1bW6re/C7S/V18oVHl+B3sSZoatrVvleGDGNPNnxh/XzgwDLP4APP72pz+GFNdIIZvf/Ohb+dX6lvVHDt9x2cB+wVHNEdV31deNu7TYuqVvjrzv9yePik84Nrk4GJiwx5k1M/b8z59p/9rW72wayO1vrKrQQLHUKFC0gXMID3cl/Kj9JPEHK6QrX7n8sPqj7phXagVkXAhS5s9tP2qW1+mPGqzZ0LouJhCPLwEaMhZiqAKqLzhot4zt4ecGY7bHq5dXbixAtLlE2Xa+FKgdt/fghW54S5TJdv5S4YrLdh8DWS/+Xly2elJTVJ0esdXOIUt+2RRRoZX1DXj38w1fjh2+w+hNUWW/seKbRRSY51x92JZzeNK0EweDNIlzqjF/vZs/s95tXdtkDnBnWMpmzJ9JAo3KCI2GpIUfc+ZMONT1S+LcpZ/oL5rkbKX1zAsO3p0WNOD/1dSVWpY1EQJLzz9wt9bMotfcuGkvm5+3lz5YXQ7ILRbTCIFaEVWTxo3p/IQXFn9uvIvL9BQDWS3+nl781fUhgROboiononWfHEuuyrNk7rrm2G7/XrW2aejAPrutb45uWLDyu6eskJ5Bb/deGCqbgynz5wUDZm343f/Metd94u/4B+YX2JH4psyjk+46x4qEq9wO+VK9ecs+0bWNcrYCqi44aLf4vn1/fuezCglUCCHmnHfgrq6FpNfcUXs97S9/eufTwgBEn3jfQqG689uIrkzhe5mmAwXFw1oLWs1dBylqYOsyCBQIoOaEvQtocWCXV6bwdXljlwX8js9lN7hYigxkpfijYBIU8qoAUC6k6BNT+hMFDADwea4Uay0hipqVXhuJ2U1Cise9Hnbx+8PG+FJ8itoUZ/7M+PO6dqYyf8k4j5++KJyK4Euuu/ijWv3++s1z/rRSsyBEGFKWCK3zbSEm/fTAXTO2ktcN1z3lzzQXW0QilPUsbsUpRINQ6pEfOxnSTIrTFxavLpaWpI21608cXRDP/pEgVAEZH4Y/ce8CV0P7PcWfG9tmkj+39+dyPcNAVoq/R//z2RShMTpoyf0tKTa1xNRSpdVgCFkgoddbUu5sK/Wl0njm/IN2i+8B5uXFwcCMTeavd/Nn1ruta3eH+DPBTP781trgqdI5Ni7RVnIm0KR907o99bw99p/PK+EciacFlgqNAiD+DzppIUym8CXEHw3znjCqIH7sHl0vfVAfz86y+DP1LK7fkwxkpfh77J3P4g9v/7xQbUDIQiHUnG82RccC2CkUkAFLCKE0Jp+1707PZMI4mQpWXmFlfGZMMn9m/Hlde1sQf7SVCo1ISIj4ELKCXtp2mxeveXHbXk/5c+IlHUDVec5w+ONvfzpTb55n2fpZpvA9v3hNoWWJ+NY9EnJG1LY/CUh9jBYynvFj8efWg7icHxnIOvHnDCVUQ4iGHfsE7xZ68+q8hmh0hK10vz7BwPKgkKsSaf5MGC1TwcorrIzPjEnmz4w/r2tvK+LP63571V5P+fNj73xGw6vh5CzfY+98Rnsqxs/5Pc9ZBZ1JfC99sHoKIJPndG6mVYrqE0cOdLUKO5P4vLCx3/F50UduY2sGskL83fTiVwNzrIbxWqv9IK3v9tgueEBAClvY9pQd+uUhatvnN8VwkraV6hMKPJ7bJ//eccP6erK4oz2n8/vDxvjMQgXzZ8af17UzKf6ufXllgWXrEqFj+QJW7dSTh6e0DQj1lf2lfYu3Zv6UmnVeyR5V8Rf3aHQGHZMntJ6ZmPeXSf5ojl9TQPxYxewyKeTOWqtPgkL83yn7DHnSrZ9mEp9bDJ2V8zs+L/rIbWSh+LvptY9HBaLqGa3RP9H9vjmWGBAOfhOyxCrKAELTGZG0XYOu+/HBu3uyncu2/LD5PRgwPrNQ5nf+zHq3de1Mib+bnl9RrgXanqlbGwv0n3T7OHfbgLD469jaj73zGQ2vtndmcaOTDWzMNH/T5n5cLsWWW71ojQZlY+qNxxW5Wojj9+fN7/i8jgfc3mYGen3m73evfvRqTGE/KcQGW4t/CaH62jF9GAnAgvzgfygDSETQhGIEQzO6Yzd9vz9sjM8sPDB/Zvx5XdsL8XfPm6uKVSCoCduEw3Zbeu3Lq8OB2PqHAZ0PRduAyBqtVZkQKNBa10w7ZaSrbUAyLV684LIn/TlpmDfRlfqYEDOTV0BnCt/0l2mrl8aHBZ3frHWdlqJGKMS3etHQa64/etjFbvjNFD4393ZTxu/43PSBy6TOQK8VfzmHnV4UkMGrojH1U61FjpRYEZTyHW3bd3/TYt9KAjAgdVXhkP5T2+4blTqNqdXw+8PG+FKzZ9vSzJ8Zf17XNhF/d731USHFEaFR+D0usWbDxshLG5S6QGvUTztlRDw7tVkQrovPA7vt5BGutgFh8efO2jTk21GcztTzdturq4qtAOJbvVx3TFHcxiQIEWqM2/i6o4tc2ThT+Nwx13Upv+PrugdcIh0Geq34Cx9+9lQBjG6x9bFR21a5gcCbAQkbEGvqG2NBZdsnWFI++ZsT9vx5OsSZ1PH7w8b4TKzLc7jM2PO+ton4u2de3RSKI1qjEQJ10BgqBMK20pGvNkZCAGpvO3lE6zYgN76wIr6TAIs/7+3YUYuZilcJ8aeB2uuPLmq18fTXV8VtzOKv+2zMd/KegV4r/r4bfdpnAKxYTMtAADmhgPXGjn2CuRp65w2bottFFfIE1Nm/O2nkm97T2nmLmQpWXvWD8ZkxyfyZ8ed1bRPxd++8uvgPfVRHr77miOG19Pc9b9VVK+iBaxtiVotSGyEwAyryCXTgGEhZnpwNpPKXP72sVEKPF5vP6q2nYWIlQ9UPnj4svqiM/cXM4pnib+prHxUGLCu+1QuUnhHT6hNLiGOElOXJ2cCu0GcKX1f3dfu93/G57QeXS42BXiv+vh116hotRKwlan9jSTkiJ4DG7fsEcoLSCjQ0RxtsiHd/e8Lw41Ojy5vSfn/YGJ+ZnZk/M/68rp2u+Ju+aHU4b2NTtRai4eeH7XFuAlciG/j1xsiaFqUHtcWro3rStNNGxhcDOMKvnbN5xZoN+dGrHxs3ppH9xczimeRv+txVUyC2OL4vDtaOYRIv+DCzG9fuWQb8Iv7o+J4qOrkRQA3FzHZouR3AsQBizvfvdEQdBXt98JnzcgNW4/82NC9rjqhjQpYs2Kl/Tn9oNDe06GduGbd5DkdPXJkMVl70h/GZscj8mfHnHOflaTy48cYb04p1lOWjYV4FTLnq8KE1D8xfXWDrJsKGhkjspnVNeh8ou1gIOVRrVQcRrbrtlH3iGUK6rnz6A1r4MVpIMSemQ9VCRwoFVKWAKFAQUx44Y1QN+4uZv2SSv/iij5zGcqFQDKGHQou6mLKrbjp2cxbYzZVJfG7u31UZv+PrCj9/nx4DaQXE9G7Vaa25AG4E8DYA2j/pT3SKTlKNIwHcAOAUAHsDeARASWfiL3xkxdVCqbKoQujL9S2jLQF71/45iwAx62eH7xEP3j11+f1hY3xmnsH8mfEHwPN4kLb4m1dbLiDiL4qUAaTzduO906j72RFDu9wW6sqnl1UDOmyLnMrEMO+VTy+rBHS51rL6/jNHVrO/mPkL89e7+TPrHdfuiAE/iL8ggBUAihyQZwM4GMAvk0DfCoDm8JEopGsZgFIAG9rrGGX+rBMvyM9tbKlsaI6eubYhumdAik0798+d0tPCj/BysDJ7IJm/Xs1fRuJBuuKPmL5nXm05tKigDOBm3YelAZE34/LDBne5EfwVTy+tSs7yUf0rnlo2SQhdIoCqe8/Yexb7c6/2Z473Zubl2hliwA/ij+bMPA/gIKePh1N8BNA6xwbAA06ZF5wyrzllPupI/H2+5/hJgK4HJGUId9JaPE5v2RniMaVmOdinRNdWhZm/Xs1fRuKBifhLsE1zAK8b437zZqr3s2eXTdBKl9EuA4BaCIgC58UViWwg+3Ov9mcWf2bm5doZYsCP4u8IAJcB+FFSn9uKvzlOmY+nTZt2i9aaMoOtVygU0pFIxA99y5DZuFlmIH0GBg4cGLvooosow+bHq63443jgRysxpl7DgM/jQa/h2W8d8YNACgD4GMBQhxw6tPsA2jM1iaybAXwF4GHnMxompkzhxvYITXd1X3cZh/GZMc389Wr+OB6Ymdfz2vy8mVHK/Jnxx7Uzw4AfxB/17BUAvwPwFoDnaJoNABraHUFT5Byh91sAxwHYD8DdAGh4uN2LHzYzZ2H+mD8zBoxrczwwptC7BjgemHHJ/Jnxx7Uzw4BfxN8oZwVvDoA3APwiKcNH27t8QZvmAxgHoAXApQAWsfjLjFNwsDLjlfkz4w8AxwNjCr1rgP3ZjEvmz4w/rp0ZBvwi/jztHT9sZnQyf8yfGQP+qs3+bGYP5o/5M2OAa/uRgV4p/mgRyA033PAbPxJOmBifmWWYv97Nn1nvtq7N/mLGKPPH/JkxwLX9yECvFH9+JJoxMQPMADPADDADzAAz4AcGWPz5wQqMgRlgBpgBZoAZYAaYgW5ioDeLv67OC+4LgDZ93hnA1wDOAbDWY967wkD808pmOr5OAbgGwOseY+isua7wJerSyQbLnY21aUPu7rrc4KOtgW4BQFxe3eZYwEzj7Aof7aVHp9IMAZAH4A/OanYvcUkAtBL+Iuc+7bXt+lxsL4H5rK2ubMXxAOiKI44HnTt1V/xxPPBZUMhmOL1Z/HV1PijtHdjs/CBfCWA35/xgL/2hKwwnA/gpgDMB7AngaQD7eAmgi7a6wpeoPh3AUQBoHmV3ir+u8O0IYIFzHGAfZ0X4T3zEH9mVtiei1emElc6uThxj6BVM2g9zE4CJAHZpp9GUzsX2CpQP2+nKlzgedH2mMseDzh27Kx/jeODDwJCtkHqr+HNzPihtKXMhgFoAdKrAi87m0l75ghsMJFio3Hogfm4oZddIhHbH5QYf4RgN4FcAPgEwrxvFnxt8P3SEX/KG4N3BHd3DDb6jnWzpWQD2APAPB6+XGMlvGp3tkNoTfymdi+0lMB+15cZWHA+6PmOd40HHTu3Gxzge+CgoZDuU3ir+3JwPSkLrQOeHk/zgM4+FlxsMyf53kyMASWh1x+UGH/kHieKL6ZjSbhZ/bvCR6NvVGbofCICyN292B3nOC0NXZ1ITlCcA7AtgBwAkVklkZOKivTDbE38pnYudCWA+aNONL3E86PqMdY4HHTuzGx/jeOCDYMAQNjOQLeKvvfNBuzvYt4ch4Yc0X+sMAKcCiHaTc7o5Q5UyoyRaaM4YbbLdnZk/N/hI/JUBGA9gJ2e+5DAAuhs4dIPvFADnOudUU0b3BWdYn+Z3en25FX+t52J7DcDH7bmxFceDLcVfe/GK44F78dcefxwPfBwksg1abxV/bs4HpfkZNBeLzhWmCfmznUygVz7gBgPd60eOQCDxR3MQu+tyg4/mIFJmjcQK/ZfOUj4PwDvdANINPsJCYo8WfND1XwAnOAt4Mg3RDb6p2DyU9hcHzHvOKTX1GQDXkfhL6VzsDODyQ5NubMXxoOsz1jkedOzNbnyM44EfogFjiDPQW8Uf9a2980FpyI0WVtBbPk2Qt5wzhek4OcpweT3k2hUGWmn8LICxAJp6wCe7wpcMqbszf25sONhZJEOLUbZ3Fn+Qfbsj8+cGH2V0acj35wD6A3jfWfBhZ8DWbcVfWudiZwCXX5rsytc5HnQdMzkedO7NXfkYxwO/RAPG0avFX3vng5JYoKFLyhblA/irk9H6n5OBo4UXXl5dYaB5frS9S3Im6BAnw+Yljo7a6gpfTwd7N/hoPiJlcEnIk3inodXuurrCR2dVP+zMSaS/adX0cx6Do/bJZ/YC8CGAvwGY4mQcUz4X22NsfmquK1txPGj/TOXkmMnxoHOP7srHOB74KSJkOZbenPnLctNy95kBZoAZYAaYAWaAGdiaARZ/7BXMADPADDADzAAzwAxkEQMs/rLI2NxVZoAZYAaYAWaAGWAGWPyxDzADzAAzwAwwA8wAM5BFDLD4yyJjc1eZAWaAGWAGmAFmgBlg8cc+wAwwA8wAM8AMMAPMQBYxwOIvi4zNXWUGmAFmgBlgBpgBZoDFH/sAM8AMMAPMADPADDADWcQAi78sMrbLrr7mbIBd6rK834vR+b8PAdjgd6CMjxlgBrqNAY4L3UY138iPDLD486NVehbTIAASwFc9C8OTu9NJLnR2M51LTMef8cUMMAPMAMcF9oGsZ4DFX3a4wL8ABAF8DeAIAO8COAvAdwDonFnKjJUDoDOOK5MyfySaHgBwpHME3Y0AngKQB+A+AKcC2ATgbufost8CoCPr7gJwnpNtOxfAfwEUOvc52BFiVzvnL9N5yy0A+gJYDOAy5991AAY6ZehMTDp6j/D9EkAugNkALgfQ7PThXgCHOcecPQZgMoDPk8xLR6DVZIe5uZfMQLsM7AbgLwDoGWx0jh6cBGAGgAuc86epIp1BTS9LpwA4CMCfnWdxJgB6xikO0FGFVwGgDNqOzrGZPwLwbTsx5YoO4s9aAMc58YKwUVz6KYA6AG3jwgQAtwP4oXMmPcUsOs6xo1hE532/7pzhTvencoSVRjY4LvADkvUMsPjLDheggEeibx8ncC4FMBXArwHEAHwJ4EwnS0bijs45pWHffwIYCuAEAD93hCG9Nf/MOU93bwC7A/iP8yNB5X4H4EIATzqij84tpnuTACWhSCKT2qIfEBKXzzvisgLAAqe9fwMgcTjH+Udi7kXn77EAljg/UPc4PwjUh1VOO1c6/aJzNg93BCdhrgWgs8Pc3EtmoF0G7gQw3nm293TOFSdRRc9iR+LvHUfc0TnRJO5I/NGLGb383QHgTQCvOoKNXgI7iintxR/CQ0KP2rkNwD8ckUiik2IWvXQm4sJPnNhC7VDMIRFLQvDADmIRvSC+5bRJL7TPAigGQCMbdB44iUeOC/ygZC0DLP6yw/QUSLcHcIDT3Q8dsXSSI/7+CIBEE12JOX+HAmgCcL/zI5HMFIk0yh40OB/SgeWUkdvBCdD9AGwEQO1SBpDuTW1FnEwd+R3VocBNWYchAEhI0kVv8yQg+zvZvsR9pzhZRcoA0kWZTMr+neP0gYTgNY7go6A/DsBOAP4fD/tmh5NzL7tk4HxHNFEmnkTbX51sW0eZP3pRo2f2QeeFrwDAGkf8kWCj7B+JScq+j3Tao8wdvYy1jSntxR+678tOFpLqWE7coOeW4lByXKD/pwzjfm162VEsolEEigOnAXguKa5Q3KHRCI4LXboLF+jNDLD4683W/b5vbQMnZcmWO8M6FHRpOIXe/pPFH2XNSLDRGz5l4Sgw09AsCb5XHEHXNhC3FW6PADgbwHZJbZFAS77aLjC5BcCtTvvrAISdbCUN+f6mHVFIbSX3gTKWlDk8EcBgDvLZ4eDcS9cM0DAuZdbo+djfyQJSRo+mVtBLG130ckhzZRPij6Z+ULaesmarHfFHZWYBoBfIl5xpIZSdpwxiezElWbgl4s8fHBGaEGidxQUawiUBua9TiGIKTRehe9LnbWMRxS8Sf9RPGsGg+EajHTT8Sy+MLP5cuwwX7I0MsPjrjVbduk8ksGi4tAxAyBmmudnJsHUk/khE0bArzcU53gn+9ANAc/doWJeEHrVJPxjUFg2tnO60eT2AZ5zATj8SdF8K3rsAoOEjCr5Ul4I+Be/EMDMhTwwRUyaRgvY8Z+im2pkHRJ//H4A/OdkF+rwj8TcAAA0Z0w8U9YWyGHwxA9nKwA3O8/p7JxtOzya9nO0BYBoAyvZTfKB4QRk5EomUJSRxRTGARCK9mNGwL2UAH3XEFb0UJqZmUAxoL6a0F39omPhT52WShp9JnNE0EYofbV8KaTiZXgxpKHhnJybQkPBeHcQiGoXoSPzRFBeOC9n6FHC/4wyw+MsOR6BASm/K9NZOQowmU1PgpCHUzsQfzfd72MkO/A8ATQ6nuXyUjUss+KC3bwriNCybyPzRYgvK8NF8HroPzdGj+TU0z6bEmWNI37/QTpAni1CWj7KNhJl+hC51FqfQjwL9SJBYpLokOGkeYUfij7KbNNeQRCDNR6QfA76YgWxlgF7oKItH82FpWgbN76UXOhJ3NDQ6xvmMXvhoQcjJjiAkkUfPPGXyKQbQs0mLQOgZpOzh4wBoHjGNINAiLBrybTua0FH8oeeShpBJgL7nvFh+1E5coIwdTe34AYAogCon3nQUizrL/FEGk+NCtj4F3G8Wf1nkA921d19C/FGgpnlAfDEDzMC2zQBlyWhxCM39pZW59PJ3jJPJd9uz7oo/bvFwOWYg6xngzF92uEB3BV8Wf9nhT9zL7GGAtkiibZQoW0hbQ1FWj+bepnJ1V/xJBROXZQaymgEWf1ltfu48M8AMMAPMADPADGQbAyz+ss3i3F9mgBlgBpgBZoAZyGoGWPxltfm588wAM8AMMAPMADOQbQyw+Ms2i3N/mQFmgBlgBpgBZiCrGWDxl9Xm584zA8wAM8AMMAPMQLYxwOIv2yzO/WUGmAFmgBlgBpiBrGaAxV9Wm587zwwwA8wAM8AMMAPZxsD/B/6QegAvRBMFAAAAAElFTkSuQmCC"
     },
     "metadata": {
      "jupyter-vega3": "#fddf6a76-129c-47a4-bf74-fb1d0d77b246"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdvega.scatter_matrix(df[[\"sugarpercent\", \"winpercent\", \"pricepercent\"]], \"winpercent\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's a simple bar chart.\n",
    "Unfortunately I could not figure out how to sort by the winpercent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "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>competitorname</th>\n",
       "      <th>chocolate</th>\n",
       "      <th>fruity</th>\n",
       "      <th>caramel</th>\n",
       "      <th>peanutyalmondy</th>\n",
       "      <th>nougat</th>\n",
       "      <th>crispedricewafer</th>\n",
       "      <th>hard</th>\n",
       "      <th>bar</th>\n",
       "      <th>pluribus</th>\n",
       "      <th>sugarpercent</th>\n",
       "      <th>pricepercent</th>\n",
       "      <th>winpercent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Reese's Peanut Butter cup</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.651</td>\n",
       "      <td>84.180290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Reese's Miniatures</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.279</td>\n",
       "      <td>81.866257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Twix</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.546</td>\n",
       "      <td>0.906</td>\n",
       "      <td>81.642914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Kit Kat</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.313</td>\n",
       "      <td>0.511</td>\n",
       "      <td>76.768600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Snickers</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.546</td>\n",
       "      <td>0.651</td>\n",
       "      <td>76.673782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Reese's pieces</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.651</td>\n",
       "      <td>73.434990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Milky Way</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.651</td>\n",
       "      <td>73.099556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Reese's stuffed with pieces</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.988</td>\n",
       "      <td>0.651</td>\n",
       "      <td>72.887901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Peanut butter M&amp;M's</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.825</td>\n",
       "      <td>0.651</td>\n",
       "      <td>71.465050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Nestle Butterfinger</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.767</td>\n",
       "      <td>70.735641</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 competitorname  chocolate  fruity  caramel  peanutyalmondy  \\\n",
       "52    Reese's Peanut Butter cup          1       0        0               1   \n",
       "51           Reese's Miniatures          1       0        0               1   \n",
       "79                         Twix          1       0        1               0   \n",
       "28                      Kit Kat          1       0        0               0   \n",
       "64                     Snickers          1       0        1               1   \n",
       "53               Reese's pieces          1       0        0               1   \n",
       "36                    Milky Way          1       0        1               0   \n",
       "54  Reese's stuffed with pieces          1       0        0               1   \n",
       "32          Peanut butter M&M's          1       0        0               1   \n",
       "42          Nestle Butterfinger          1       0        0               1   \n",
       "\n",
       "    nougat  crispedricewafer  hard  bar  pluribus  sugarpercent  pricepercent  \\\n",
       "52       0                 0     0    0         0         0.720         0.651   \n",
       "51       0                 0     0    0         0         0.034         0.279   \n",
       "79       0                 1     0    1         0         0.546         0.906   \n",
       "28       0                 1     0    1         0         0.313         0.511   \n",
       "64       1                 0     0    1         0         0.546         0.651   \n",
       "53       0                 0     0    0         1         0.406         0.651   \n",
       "36       1                 0     0    1         0         0.604         0.651   \n",
       "54       0                 0     0    0         0         0.988         0.651   \n",
       "32       0                 0     0    0         1         0.825         0.651   \n",
       "42       0                 0     0    1         0         0.604         0.767   \n",
       "\n",
       "    winpercent  \n",
       "52   84.180290  \n",
       "51   81.866257  \n",
       "79   81.642914  \n",
       "28   76.768600  \n",
       "64   76.673782  \n",
       "53   73.434990  \n",
       "36   73.099556  \n",
       "54   72.887901  \n",
       "32   71.465050  \n",
       "42   70.735641  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by=['winpercent'], ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f73a0497080>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bODEinpc0ltTF/hbwTAXV3Q0cnm8ZjAJez9v4RNIzkiYCD9d0nz8ipgKXlFl0HjCYlFZ3JvBP4CrgFkn7ltRxW5n1OwI35P0DOKNMmQVs1rE9o/3ajplZo3BaXmt2nJbXzKz+GjQtr6TvSRqRrxqR1D1fqZqZmdkSpNJ7/NeQumhnw7ynwA+qdQ0zMzNrdipt+FeIiBdK5s1p6GDMzMyscVXa8H8saQMgACTtRxrP3czMzJYglT7VfyLpHeuNJb0LTAYOa7SozMzMrFFU1PBHxFvAzpJWJL2T/WXjhtU0cma6iyLiv/P0aUC7iBhYz3o6A30j4pY83Q84rZDdrsL1XwFeA0R6h/+oiHitjvV+GxH/l7/XmoWvjnr2B84F/gOcDhweESfXt56G8tKXX/H/Hh9Xrc2b2RLkPzv0rLuQLaDSp/o7SDoZ+B/gPEmXSrq0cUNrErOAn+RBZhZHZ9KgNoujMJ5+D2Ao8NsK1ikuU1cWvoUoaQUcA5wQETtExOjGbvRzvgIzM6uCSu/xP0Rq3CaQxocvfJZ0c0i3MBbKGJfHpL9b0qj8+X6e/4Oc6W6cpLGSViJlwNsuzzu1pJ4VJV2f6xgrae8K4loZ+Cyvf6SkvxTV94CkfpIuII//L+lmymThk3R63u74QoY/SZ0lvSLpcuBF0mh62wJXSrow1/1ALjswx/6EpLfyyV8hjrMkvSrpUUm3FjIDStpA0t8ljZH0lOZnDxwi6SJJjwN/qOAYmJlZI6j0yqttRPxXo0ZSPZcB4yX9sWT+JcDFEfG0pHWBR4CupDH0T4yIZyS1A74mZcCb17Wfu/oLzgQei4ijc3f8C5L+EREzSra3QR51byVgBWCr2oKOiAGSflkY/z/fLuhWNN0f2BDYknT7YJik7UkJgjYi3Uo4IZfdIcc/uiR2gI2BHXJcr0m6AugB7AtsTvobepH5J4JXA8dHxBuStgIuB3bMy74H7BwRc2vbNzMzazyVNvw3SvoZ8ADzE8QQEZ82SlRNKCeU+StwMjCzaNHOwCaFZDPAyvnq/hngonyVfU9ETC0qU05/YK/CFTEpec66pHv6xd4sarQPJDWguy36ntE/f8bm6XakE4G3gX9HxPMV1vNgRMwCZkn6EFiT1ENwXx6fH0n355/tgL7AnUXHZLmiuu6sqdGXdBxwHECrNdeqMDQzM6uvShv+b0iZ184kv9KXf65f4xpLlj+TrlqLc8W3ArYpNG5FLpD0ILA78LykneuoW8C+dT2oV2JYUSyLmnVPwPkRcdUCM1PPQGlvQ21mFX0vZAOs6UynFfB5aRbCIjVutzg7X5uNNvE40mZmjaTSe/z/BXw3IjpHRJf8WVoa/ULPxR2kh9wKhgO/LExIKlyNbxAREyLiD8BoUld4bRnwHgFOUr4ElrR5BSFtC7yZv08BekpqJWkdUtd9wWxJbfL30hgeAY7OV+FI6qicBbABPA38SFLbXP8ekHpPgMn5LYHCw4M9GmibZmbWACq94p8EfNWYgTQDf6KooSd1/V8maTzpOD0JHA+cku+JzwVeBh4GvgXmSHoJGML87nVIb0L8mfQcgUgNebnX/Ar3+EXqYTk2z3+GNG7CBGAiqWei4Opc74sRcahKsvBJ6go8l885ppPGXljs++sRMUrSMOAl4N+kE6BpefGhwBVKuRzaALflcmZm1gxUlJ1P0t+ATYHHWfAef9Xe9bbqktQuIqZLWoF0UnRcRLxY13qVcHY+M7P6U4XZ+Sq94r83f8wKrpa0CemZg6EN1eibmVnjqnTkvqGNHYgtWSJicQcsMjOzKqio4Ze0IXA+ULjCA2BpesDPzMysJaj0qf4bgCtIr5btAPwVuLGxgjIzM7PGUWnDv3xEjCA9DPjvnMRmxzrWMTMzs2am0of7vs7JXN6Q9EvgXaCh3gk3MzOzJlJpw38Kafz4Qoa+HYEjGiuohiBpLund92VIw+MeERGNPhaBakmPm0fNeyAiutWjvn7ANxHxbJ7eB3g9Il5ejBj7kV7NPDYirsvzNieNEXB6RAzK8wYCB5Fu8ZwVEX8rquMJ0siN60V+J1TSvaSx+NvlfR0SEf3qG9+XX05gxGMbLOLemVlLtdOOb9ZdyCrr6o+IURExPSKmRsRREfGTeoz1Xi0zc5rbbqQBcY5vou3WOz1uHfqRxr8v2If0kGXFVD4N7gTgwKLpgygaaCePEngosBnQExhVpo7PgULWwg6AB9k3M2vmKmr4JX1P0jWShkt6rPBp7OAa0FPAdwEkHSbphZy+9ipJrfP8KySNljSpkMI2z58i6RxJL0qaUJRmdmBR4h0kTcxXuQulxy2xjKShSqly78oD4BS2s3r+3kcpFW5n0gnLqbm+HwB7ARfm6Q206Glw3wbaSlozjyi4G2kUwoI5pPTA7SJiTkRMLVPHbaQTBoCfAPcULZsLfJpj2bTomI/Pb4mYmVkVVNrVfydwJXANDTDka1PKV7s/BP6eh7A9EPh+RMxWykl/KOkthTMj4tN8IjBCUveIGJ+r+Tgiekk6gZSW99gymyoYQFF63DI2Ao7JaX2vJ/UODCpXMCKmSLoSmF7U/T6MdLvgrjw9gkVPg3sXsD9piOEXWTAhzyzgA+AeSbvlDH2lRgDX5GN2ECm73lk59ndIJwOQTl4uiYibJS0LtK4hHjMza2SVNvxzIuKKRo2k4S2fx76HdMV/Halh6g2MyuPXLw98mMscoJQadhlSl/UmQKHhL1zJjmF+Y7ao3omIZ/L3m0jPTZRt+OuixUiDm90B3E5KNHQrC95SuA44Nc+7JSfeOQ2YERGX5TJzSQl7DiS9+TFF5VMUPwecKakTKZXxG2X2ZV5a3u98p9I/SzMzq69K/4e9P1/t/o0Fx+r/tFGiahgzS6+6c5f20Ig4o2R+F1KjtkVEfCZpCAumvy3scyEtLSx6utzS5AiF6eL6Kq1rkdPgAkTEfyTNBnYBfsWCDf/OwH4RMULSYFJPwkbA4SXV3Eb6uxhYy3ZukTSSlMXvEUnHRsRjJWXmpeXdaKPlnJbXzKyRVPoe/xHA6cCzpKveMaSMbEuaEcB+yulpJa0qaT3SvewZwDRJa5JuDdRlCtAr19ML6JLn15aiF2BdSdvk7weTrpgL9fXO3/ctKl9a37zpBkqD+3vgN2V6BsaTsvkB/Jp0IjArd+EXe4o0quOtNW1A0vrAWxFxKTAM6F7PGM3MrIHUecWf398/rKh7eokVES/ndLHD837NBk6MiOcljSWlH36LlAq3LncDh+fbCaOA1/M2PlFJetyS9V4BjpB0FfAGaUREgHOA6yT9FhhZVP5+4C5JewMnka6wr5F0MrAfi5kGt/CaYBmHA1dJ+m/ga9LtiH0l/VdEXFS0flD3rYoDgcNy78J/gHNrK7zSSpux045L4nmlmVnzV2la3uciYps6C5o1AKflNTOrPzVwWt7hkvYlPZjl+69mZraA2bNnM3XqVL7++utqh7LUa9u2LZ06daJNmzaLtH6lDf9/ASsCcyXNBETq5V15kbZqZmZLlalTp7LSSivRuXNnani7xxpARPDJJ58wdepUunTpUvcKZVQ6ct9KEdEqItpExMp52o2+mZkB8PXXX7Paaqu50W9kklhttdUWq2el4hemJe0FbJ8nn4iIBxZ5q2ZmttRxo980Fvc4Vzpk7wWk97xfzp9f5XlmZmbN3u67787nn39e7TAqMmXKFG655ZZGq7/SK/7dgZ4R8S2ApKGkYV4H1LSCFsyONxn4aUQ0+lFXyig3JSKGLOL6NWbXK1N2O9JQxrOBbUivqe0OPFTmNb6a6pgC9ImIj+sZ57XARfkVxd9GxP/l+Z2pZwbAknr7AIdHxMmLsn5DeO+99xg4cGC1Nm9mi2DXXXflvffemzfd99KxDVr/sydvvkjrrb322gA89NBDDRnOQubMmcMyyzTMqKOFhv+QQw5pkPpKVTqAD6SscwXtKyhfnB3vU+DEekVWPfXJrncoMCjv50zg50CvShv9xRERxxal5v1tA9Y7upqNvpnZorj88su57rrrADj77LPZf//9ARgxYgSHHXYYnTt35uOPP2bKlCl07dqVn/3sZ2y66ab079+fmTNnAtCvXz9OOeUU+vbtS7du3XjhhRcAmDFjBkcffTRbbLEFm2++Offddx8AQ4YMYf/99+dHP/oR/fv3B+CPf/wjm222GT169GDAgHRt/Oabb7LbbrvRu3dvtttuO1599VUAjjzySE4++WT69u3L+uuvz1133QXAgAEDeOqpp+jZsycXX3xxgx+rShv+84GxOePbUNLIfefXYzvPAR0LE5JOlzQqZ2orzoS3UOa8/BmilP1ugqRTc9myWemA6cDMXOZkSS/n7dxWGlQNWeMWyK4nqZ+kB4rW+YukIyUdCxwA/F7SzTl5zorASEkHSlpD0t15P0dJKqSvXU0py+HYPIjPQjdrJB0g6aL8/VeS3ira56fz9yeUsvhdQM5LIOnmXEVrpWyKk/K2li+zjSGSrszH7nVJe+b58/ZX0oqSrs/xj82DCJF/J4Py72O8pJPy/N6S/pl/J49IWquS34OZ2eLaaqutGDkyjX02fvx4vvrqK2bPns3TTz/Ndtttt0DZN954gxNPPJFJkybRoUMH7r777nnLZsyYwbPPPsvll1/O0UcfDcB5553HjjvuyKhRo3j88cc5/fTTmTEjjYj+3HPPMXToUB577DEefvhh7r33XkaOHMlLL73Er3/9awCOO+44Bg8ezJgxYxg0aBAnnDD/2vL999/n6aef5oEHHph3onDBBRew3XbbMW7cOE499dQGP1YV9UtExK2SngC2IDVUv4mI/1SyrlLmtp1ISV+Q1B/YENgy1zVM0vbAR5TPnDcJ6Fjous5d8ZDGdV8oK10hi102AOgSEbOK1itWLmvcAtn1JPWr4ZhcK2lbFsyUN71ovVuAiyPiaUnrAo8AXYGzgacj4lxJe5AT05R4kjREMsB2wCeSOgLbkobILY5jgKRfFm23cz6+B0fEzyTdQRoC+KYy2+kM/ADYAHhc0ndLlp8JPBYRR+fj94Kkf5BG9esCbB4Rc5SGPm4DDAb2joiPJB0InAccTd2/BzOzxdK9e3cmTJjA9OnTWXbZZdlss8146aWXeOqpp7j00ks5//z516pdunShZ8+U4qR3795MmTJl3rKDDz4YgO23354vvviCzz//nOHDhzNs2DAGDUrNy9dff83bb78NwC677MKqq64KwD/+8Q+OOuooVlhhBQBWXXVVpk+fzrPPPjuvBwJg1qz5yU732WcfWrVqxSabbMIHH3zQCEdmYRU1/JJGRMROpHHWS+fVpJAdrzOph+DRPL9//hRuALUjNVTdKZ85735gfaVEMQ+SBhOqKytdwXjgZkn3AveWWb5Q1jg13FOpOwObFNW3sqSVSG9G/AQgIh6U9Fnpijl5Trtcfh3glrzediyY874mkyOikJlwDOl3UM4d+bmNN3KvwsYly/sDe0k6LU+3BdbN+3ZlRMzJ8X4qqRvQDXg073Nr4P28Xl2/hwWy87VvX8mdJDOz+dq0aUOnTp24/fbb6dOnD127duXZZ5/lzTffpGvXrguUXW65+c1F69at53X1w8JPzEsiIrj77rvZaKONFlg2cuRIVlxxxXnTEbHQ+t9++y0dOnRg3LhxlFMcS1ONj1drV7+ktpJWBVaXtEq+sls1X1WuXUfdhex46wHLMv8ev4Dz833xnhHx3Yi4Ls8fWjR/o4gYGBGfAT2AJ3Id11KUla7o07U0AFI2uMtIJxRjJC1wohMRtwB7kW4NPCJpx4WrWOQsfK2AbYri6xgRXxY2XcH6zwFHAa+RrvK3Iz1AWEkegVlF34szCpaqKVNggYB9i/Zh3Yh4Jc8vV3ZSUdnNIqJ/Xlbr7wFSdr6I6BMRfQpny2Zm9bH11ltz5ZVXstVWW7HVVltx44030rNnz3q9/nb77bcD8PTTT9O+fXvat2/PrrvuyuDBg+c1zGPHln9wsX///lx//fV89dVXAHz66aesvPLKdOnShTvvvBNIjftLL9WeTmWllVbiyy+/rLXM4qjrHv/PSVeMGwMvMj8z332k/8jrFBHTSDnnT8vdwY8AR+erdiR1VMqWVzZznqTVgVYRcTf0X5IhAAAdFElEQVRwFunhuTqz0ikl4VknIh4nZZfrQOpdKC5TLmtcaTa8f5Ou3JeT1J5026ISw4FfFm2rkDr3SdItDCT9EFilhvWfJKUKfpLUO7IDKTvetDJlZ+djW1/7S2olaQNgfdJJRrFHgJOU/9VIKjxWOxw4vtCA55PD14A1lDMPSmqj9AxFnb8HM7OGsOWWW/Lhhx/Sp08f1lhjDZZbbrmF7u/XZZVVVqFv374cf/zx8x4WPOuss5g9ezbdu3enW7dunHXWWWXX3W233dhrr73o06cPPXv2nHdr4Oabb+a6666jR48ebLrppvMeDqxJ9+7dWWaZZejRo0ejPNxXaZKekyJicL0qTve72xVN30/qWr5R0q+AY/Oi6aTsf2/m+8JnkE5IZpOu8GcCNzD/JOWMiHhYUhdSZru1yFnpIuLcou21AR4nvYEg4KaIWGDsAUlnkFLPFrLGHZK7rW8hnQQ8HBGnS/ojsDcpm943wLCIGCJpCAvf4y+c0KxOOjnqSrrifjIijpe0GimF7erAP0nd/r1LX+fLjfG/gI0i4nVJw4FXC0/c52cuTouI0ZL+QOq5eJF0X37e63y5m75dRAwsqX8I8BnQB1gT+K+IeCA/03BaROyp9FDgn0m3VUR6TXLP3OD/EdgtH7trIuIv+eTm0nzMl8nrDqnr91Bq7bXXjuOOK/fog5k1V7vuuivrrbdetcNYSOF1vkr069ePQYMG0adPnXluqu6VV15Z6BaGKkzSU2vDL2nHiHhM0k/KLY+ISu43WzNUetLSnDg7n9mSp1xDtKRpKQ1/XQ/3/QB4DPhRmWVBZQ+amZmZNXtPPPFEtUNoErU2/BFxdv56bkRMLl6Wu9ptCRURR1Y7BjMza3qVDuBzd5l5za6L2MzMqqepXkdr6Rb3ONd6xa80Gt6mQPuS+/wrU/lrbWZmtpRr27Ytn3zyiVPzNrKI4JNPPqFt20Vvguu6x78RsCfpFazi+/xfAj9b5K2amdlSpVOnTkydOpWPPvqo2qEs9dq2bUunTp0Wef267vHfB9wnaZuIeG6Rt2JmZku1Nm3a0KWLH/1aElSaQ/ATSSOANSOim6TuwF4R8b+NGJuVISlI78L/NE8vQxoad2R+x34vYJOIuEApRfH0iBhU/N5/Pbf3K9I4+6fk6auADSJi5zx9ErBhQ2b0++bd6Uwd8FTdBc3MKtDpgvoN4rO0q/ThvmtIA+vMBoiI8cBBjRWU1WoG0E3zM+7tArxbWBgRw+oaIKeeniUN4FPQk/TMR+s83ZfKhhE2M7NmoNKGf4WIeKFk3pyGDsYq9jBp/HuAg0kjAQKglDL4LzWtmIfoHSrpfyUdI+niomU/U04HXGQs8D1Jy+chi78CxgGb5eV9SScHSLpXKSXvpJx0hwq3YWZmTaTShv/jPIRsAEjaj/mZ16zp3QYcJKktaWjhkRWutwxwM/B6RPwu17NX0Tj/R5GGR54nZ+AbR0rJvHXe1vNAX0lrk0Z/fCcXPzoiepOGAT45D09c5zbMzKzpVHqP/0TgamBjSe8Ck8mJZqzpRcT4nCHxYOCheqx6FSlfwnm5nhmSHgP2lPQK0CYiJpRZ7xnSlf3ypKyBbwC/BT4iX+1nJ0v6cf6+Dune//OVbKM4LW/Hldesxy6ZmVl9VNTwR8RbwM6SViRlymu8fIFWqWHAIKAfsFqF6zwL7CDpTxHxdZ53LakRf5War8SfJWVqbEtKPPQRsEn++QxATu6zMykV8Vf5YcLCi6Z1biMiriadXNJ9rY09CoiZWSOpqOHPXbZnA9sCIelp0jC+nzRmcFar64FpETEhN7qVuA7YHrhT0o8jYk5EjJS0DtCLdNugnGdJDfa7EfEhgKSPSBkL989l2gOf5UZ/Y9JtAQAq3IaZmTWBSrv6byPlhd83Tx8K3E66wrMqiIipwCWLsN5F+SG9GyUdGhHfAncAPSPisxrW+Sw39JOKZj8HfB94KU//HThe0njgNdJzAMVq3UaxZTu28+s3ZmaNpNa0vPMKpVR/vUvmja4k/Z81f5IeAC6OiBHNYRtOy2tmVn+VpuWt9Kn+xyUdlF8FayXpAODBxQvRqk1SB0mvAzMbq9Fvim2YmVnlKr3i/xJYEfg2z2pFGkgGICJi5cYJz1oiX/GbmdVfpVf8lT7Vv9Lih2RmZmbVVunDfeTx+TsXrxMR9zRCTGZmZtZIKn2d73rSa1iTmN/dH4AbfjMzsyVIpVf8W0fEJo0ayVJE0lxgAun4TgZ+GhGfN8F2BwJTImLIYtbzbET0rbtk4/jgrX/xpwP3rNbmzWwp9N+3P1DtEJqNSp/qf06SG/7KzYyInhHRDfiUNOTxEqOajb6ZmTWuShv+oaTG/zVJ4yVNyAO1WN2eAzoWJiSdLmlUPo7nFM0/TNILksZJukpS6/wZImliPuan5rIbSPp7zoT3VB4pD2A6MDOXOVnSy3k7t5UGlbP43ZfreU3S2UXLplcQ7+F53kuSbszz1pB0dy4/StL38/wf5P0aJ2msJD8samZWJZV29V8P/JTUff1tHWUtyznrdyINlYuk/sCGwJaAgGGStieNeX8g8P2ImC3pctLoiJOAjrnnAEkdctVXA8dHxBuStgIuB3aMiEFFmx8AdImIWUXrldoS6EZKtTtK0oMRMe89ulri/QQ4M8f7saRV8yqXkAbpeVrSusAjQFfgNODEiHhGUjugkCfAzMyaWKUN/9sRMaxRI1m6LC9pHOktiDHAo3l+//wZm6fbkRrW7kBvUuMLKQveh8D9wPqSBpMGTBqeG86+pPH2C9tbrkwM44GbJd0L3FtDnI8W8i1IuoeUi6H4Bfqa4u0B3BURHwNExKd5+c7AJkVxrZyv7p8BLpJ0M3BPHm54AcXZ+VZZYfkawjUzs8VVacP/qqRbSA3RrMJMv85Xo5kR0TOPif8A6R7/paSr5vMj4qriwpJOAoZGxBmlFUnqAeya6zgAOAX4PCJ61hHDHqSEPHsBZ0naNCLmlJQpHb2pdLqmeE8uUxbSraNtImJmyfwLJD0I7A48L2nniHh1gQ0XZedbZ9UOzs5nZtZIKr3Hvzypwe8P/Ch//Nh1HSJiGnAycJqkNqSu76PzVTuSOkr6DjAC2C9/R9KqktaTtDopDfLdwFlAr4j4Apgsaf9cVvnkYB5JrYB1IuJx4NdAB9LVeqld8raWB/Yhp9gtUlu8ByhlbaSoq3848MuiOHrmnxtExISI+AOpR2FjzMysKiodue+oxg5kaRURYyW9BBwUETdK6kp6UBLSw3iHRcTLkn5H6spvBcwmXeHPBG7I8wAKPQKHAlfkddqQsie+NH+rtAZuyj0OIt13L/c64dPAjcB3gVuK7+/n2IfXEO8kSecB/8yvLo4FjiSd5FyWH/xchpTR8XjgFEk7AHOBl4GH63kYzcysgVQ6Vn8nYDApDWuQGoxflbtXa0sGSUcCfSLil3WVbWoeq9/MrP7UwNn5bgCGAWuTXk27P88zMzOzJUilDf8aEXFDRMzJnyHAGo0YlzWyiBjSHK/2zcyscVXa8H+cB5gpDCpzGOldbjMzM1uCVNrwH016lew/wPvAfoAf+DMzM1vCVPoe//8AR0TEZzDv9a1BpBMCMzMzW0JUesXfvdDow7yR2jZvnJDMzMyssVR6xd9K0iolV/yVrmtNTNKZwCGk9+a/BX4eESNrKLsXsElEXFDD8s7AA4V8AU3hw39/yWXHP9ZUmzMzW8iJV+5Y7RAaTaWN95+AZyXdRXqP/wDgvEaLyhaZpG1Ioyr2ygl6VgeWral8zsHQKHkYJLWOiLmNUbeZmS2airr6I+KvwL7AB6RMcj+JiBsbMzBbZGsBH0fELICI+Dgi3pM0RdI5kl7MKX43hnnpef+Sv68p6W851e5LkvoWVyxp/ZxWd4v8dseFRSl7f57L9JP0eM7tMEHSipIezPVNlHRg0x4OMzMrVnF3fUS8TBpu1Zq34cDvJb0O/AO4PSL+mZd9HBG9JJ1ASpV7bMm6lwL/jIgf55TC7YBVACRtRBoa+KiIGJez6U2LiC0kLQc8I2l4rmdLoFtETJa0L/BeROyR62nfaHtuZmZ1qvThPltCRMR0Uorf40i9M7fn4XkBCtkUx5BSBpfaEbgi1zM3JxmCNFjTfaRx+sflef2Bw3P64ZHAaqSUvQAvRMTk/H0CsLOkP0jarqjOBUg6TtJoSaOnf10urYCZmTUEN/xLodxoPxERZ5Oy5e2bFxVSKs+lfg9nTgPeIeVqKBBwUkT0zJ8uEVG44p9RFMvrpBORCcD5kn5fQ8xXR0SfiOjTrm2HeoRmZmb14YZ/KSNpI0kbFs3qCfy7wtVHAL/I9bSWtHKe/w0pbe/hkg7J8x4BfpHTDSPpe5JWLBPP2sBXEXETaeyHXvXdJzMzazh+JW/p0w4YLKkDMAf4F6nbf88K1v0VcLWkY0i9Ar8gjdRIRMyQtCfwqKQZwLWk2wUvKuXs/Yh0clBqM+BCSd+S0g3/oq4gvrPeSkv1qzRmZtVUUVpes6bktLxmZvXX0Gl5zczMbCnght/MzKwFccNvZmbWgrjhNzMza0Hc8JuZmbUgfp2vhZI0PSLa5e+7A5cAOwG7k967/2se8W94RLxXZv0hpKx9d+VsjSOASyPihhq21wE4JCIuryu2rydO4pWNuy7inpmZNYyur75S7RAaha/4WzhJOwGDgd0i4u2IuDInZQI4Eli7jvXbkwbzubqmRj/rAJzQACGbmdli8BV/CyZpO+AaYPeIeDPPGwhMB6YAfYCbJc0EtomImSVVtAMeBm6JiCvy+u1I4/qvArQBfhcR9wEXABvksf0fjYjTG3n3zMysDDf8LddypAa6X0S8Wrowd+H/EjgtImoaTeci4NqIuLho3tfAjyPiC0mrA89LGgYMIGXs69mwu2FmZvXhrv6WazbwLHDMYtTxGLC3pO8UzRPwf5LGk9ICdwTWrKui4ux8n86dsxghmZlZbdzwt1zfAgcAW0j67SLWcRspje9DklbK8w4lpfHtna/uPwDa1lVRcXa+VVu7I8rMrLG44W/BIuIrUvKeQ3NinlJfAiuVmV9cx59JT/T/TdKyQHvgw4iYLWkHYL1K6zIzs8bnhr+Fi4hPgd2A30nau2TxEOBKSeMkLV9LHb8B3gFuBG4F+kgaTbr6fzWX+QR4RtJESRc2/J6YmVklnJ3Pmh1n5zMzqz9n5zMzM7OFuOE3MzNrQdzwm5mZtSBu+M3MzFoQN/xmZmYtiBt+MzOzFsRDpFmNJK1GGpwH4P8Bc4GP8vSWEfFNLes+AuwXEV/Wd7uTPpnEZkM3q+9qZmbN0oQjJlQ7hAW44bca5UF3esL8rH0RMajCdXdtxNDMzGwRuavf6k3SbyWdkL8PljQ8f99V0pD8faqkDpK2ySP/LSupnaSXJXWtYvhmZi2aG35bFE8C2+XvvYAOkpYBtgWeKi4YEc8BfwfOBf4E3BARrzRhrGZmVsRd/bYoRpGy+nUApgP/AjYnnQzcWKb82cAY4AvgF+UqlHQccBxAm9XaNELIZmYGvuK3RRARs4D3gMOBZ0hX+TsB60bE62VWWR1YAVgZWK6GOuel5W29UuvGCdzMzNzw2yJ7Ejgt/3wKOJF0VV/O1cAA4E7g/CaJzszMynJXvy2qp4DTgZERMVPSbEru7wNIOhqYERF35OcAnpP0g4j4Z00Vb7rapow+wtn5zMwag9PyWrPjtLxmZvXntLxmZma2EDf8ZmZmLYgbfjMzsxbEDb+ZmVkL4obfzMysBWnxr/NJmgtMIB2LycBPI+LzJtjuQGBKRAypoGw/4HHg2Ii4Ls/bHHgROD0iBkk6F3gyIv5RSz17AZtExAV1bOubiHi28r1pYO+NhYHtq7Z5M7MGN3BatSOYx1f8MDMiekZEN+BT0kA0zdEE4MCi6YOAlwoTEfH72hr9XGZYbY1+1g/oW5/AJHmoPTOzJYQb/gU9B3QsTEg6XdIoSeMlnVM0/zBJL+Ssc1dJap0/QyRNlDRB0qm57AaS/i5pjKSnJG2cq5kOzMxlTs5Z68ZLuq2G2N4G2kpaU5KA3YCHi2IaImm//H2KpHMkvZhj2TjPP1LSX/L3H0kaKWmspH/kejsDxwOn5n3brrjevN70/LOfpMcl3UI6KanXcTEzs+po8V39BfmqdSeg0JXeH9gQ2BIQMEzS9sBHpCvv70fEbEmXA4cCk4COueeAnMAG0nC1x0fEG5K2Ai4HdizJaz8A6BIRs4rWK+cuYH9gLKmbf1YtZT+OiF45fe5pwLEly58Gto6IkHQs8OuI+G9JVwLTC/FJOqaWbWwJdIuIyTnVbn2Oi5mZVYEbflhe0jigM2ms+Ufz/P75MzZPtyOdCHQHegOj0oU3ywMfAvcD60saDDwIDJfUjtRtfmcuC+WT1IwHbpZ0L3BvLbHeAdwObAzcSu1d8vfkn2OAn5RZ3gm4XdJawLKk5xvq64WIKKy3ExUel3IVFWfnW7e9yhUxM7MG4K7+fI8fWI/UABbu8Qs4P9//7xkR380P1gkYWjR/o4gYGBGfAT2AJ3Id15KO7+dFZXtGRNcyMewBXEZqOMfkMe0XEhH/AWYDuwAj6tivQm/AXMqf4A0G/hIRmwE/B9rWUM+cvB/kWwzLFi2bUfS9Psel3L7Ny863xgpu+M3MGosb/iwipgEnA6dJagM8Ahydr9qR1FHSd0gN7n75O5JWlbSepNWBVhFxN3AW0CsivgAmS9o/l5WkHsXbldQKWCciHgd+DXQg9S7U5PfAbyJi7mLucnvg3fz9iKL5XwIrFU1PIZ2QAOwNtKmhvoqPy2LGbWZmi8Fd/UUiYqykl4CDIuLGfN/6udx1PR04LCJelvQ7Uld+K9IV+ImkB/VuyPMAzsg/DwWuyOu0AW6j6Gl8oDVwk6T2pKvmi2t7nbABX7MbSLoF8S7wPNAlz78fuEvS3sBJwDXAfZJeIDXuM8rUxSIcFzMzqwJn57Nmx9n5zMzqT87OZ2ZmZqXc8JuZmbUgbvjNzMxaEDf8ZmZmLYgbfjMzsxbEDb+ZmVkL0qTv8WvJSYF7H/AWaTS72yLinFpXaiCSegJrR8RDtcQ1mXTC9iFwSER8WEt9HXKZy/N0Z6BvRNzS4ME3oAnvTqPzgAerHYaZWZOacsEeTbKdpr7iX1JS4D4VEZsDfYDDJPWua4UG0hPYvZblT+Xj1x0YRd3HrwNwQtF0Z+CQ+gQkp9w1M1uqVLOrvzmnwAUgImaQktxskLd5YVGMP8/1tZM0QvNT4O6d53eW9IqkayRNkjRc0vJ52ROS+uTvqyul0V0WOBc4MO/rgTXFlcfMXwn4LE8PlHRa0fKJ+er+ghz7OEkX5unt8vSptezTQil3S7a/W97flySNqC2G/HlV0tC8jbskrVDbcTczs8ZTlSF7tWSkwEXSasDWwP8AxwDTImILScsBz0gaDrwD/Dgivsjj0j8vaViuYkPg4Ij4maQ7gH2Bm8ptKyK+kfR7oE9E/LKGkLZTyiS4Gmno3N/WFn/e1245CVHhdsFpEbFnnj6uhn2CopS7JcdkDdIwvtvndLyr1hEDwEbAMRHxjKTrSb0Qg+pYx8zMGkFTN/xLSgrc7SSNBb4FLoiISbkXoruk/XKZ9jnGqcD/5ROVb0m9GGvmMpMjYlz+Pibv9+J4qqjR/g3wR+D4xaivP+X36RsWTLlbbGvgycKyiPi0gu28ExHP5O83kZIhLdDwqygtb+uV16jvfpiZWYWauuGfGRE9lRLSPEC6R30p81PgXlVcWNJJpFSvCyV2Ucpyt2uu4wDgFHIK3Dpi2APYHtgLOEvSphExp6TMvAa2eJPASRHxSEkcRwJrAL1zr8QU5qe4nVVUdC7pxAWKUt1SczrcugwD7i5TX33qrGmf+lFDMp68TrkED7XFUFp+ofUj4mpSjw3LrbWhE0iYmTWSqtzjX4JS4BZ7BPhFjhdJ35O0Iukq+cPc6O8ArFdBXVOYn+p2v6L5pSlxa7Mt8GZRfb1yXL2Yn2mvtL7S6Zr2qTbPAT+Q1CWvU+jqrykGgHUlbZO/Hww8XffumZlZY6haWt4lIQVuiWtJXfUv5ofrPgL2AW4G7pc0GhgHvFpBXYOAOyT9FHisaP7jwIB8O+T8iLi9ZL3CPX4B04Bj8/y7gcPzslHA6wAR8YmkZyRNBB4mPRMwJx/3IcAlNexTjSLio9wtf08+/h8Cu9QUQ/YKcISkq4A3gCtq28ZmHdszuoleazEza2mcltcaVX674IHCg5iVcFpeM7P6k9PympmZWamqdfVbyxARU4CKr/bNzKxxuavfmh1JXwKvVTuOMlYHPq52EGU0x7iaY0zguOrLcdVPteNaLyLqfB/aV/zWHL1WyX2qpiZptOOqTHOMCRxXfTmu+mmucZXyPX4zM7MWxA2/mZlZC+KG35qjq6sdQA0cV+WaY0zguOrLcdVPc41rAX64z8zMrAXxFb+ZmVkL4obfmg1Ju0l6TdK/JA2ocizXS/owD3dcmLeqpEclvZF/rtLEMa0j6XFJr0iaJOlXzSSutpJekPRSjuucPL+LpJE5rtslLduUcRXF11rSWEkPNJe4JE2RNEHSuDzcd9V/jzmGDpLukvRq/jvbpppxSdooH6PC5wtJpzSTY3Vq/nufKOnW/O+g6n9blXDDb82CpNbAZcAPgU2AgyVtUsWQhgC7lcwbAIyIiA1JCaSa+uRkDvDfEdGVlB75xHyMqh3XLGDHiOgB9AR2k7Q18AdSPowNgc+AY5o4roJfkfJFFDSXuHaIiJ5Fr39V+/cIKX/H3yNiY6AH6bhVLa6IeC0fo56kxGZfAX+rZkyQEsmREs31ycORtwYOovn8bdUuIvzxp+ofYBvgkaLpM4AzqhxTZ2Bi0fRrwFr5+1qk8QaqGd99pARJzSYuYAXgRWAr0kAmy5T7/TZhPJ1IDcOOpFTgaiZxTQFWL5lX1d8jsDIwmfzsV3OJqyiO/sAzzSEmoCPwDrAqaTycB0hp4qv+t1XJx1f81lwU/iEVTM3zmpM1I+J9gPzzO9UKJCc/2hwY2Rziyt3p40jZGh8lpYz+PCLm5CLV+n3+mZSC+9s8vVoziStIWUfH5GyXUP3f4/qkDJ035Fsj1yql6a52XAUHAbfm71WNKSLeJWVZfRt4n5QtdQzN42+rTm74rblQmXl+5aQMSe1IaZBPiYgvqh0PQETMjdQd2wnYEuharlhTxiRpT+DDiBhTPLtM0Wr8nX0/InqRbm2dKGn7KsRQahmgF3BFRGwOzKA6txsWku+V7wXcWe1YAPIzBXsDXYC1gRVJv8tSzfL/MDf81lxMBdYpmu4EvFelWGrygaS1APLPD5s6AEltSI3+zRFxT3OJqyAiPgeeID2D0EFSYVjwavw+vw/sJWkKcBupu//PzSAuIuK9/PND0j3rLan+73EqMDUiRubpu0gnAtWOC1Kj+mJEfJCnqx3TzsDkiPgoImYD9wB9aQZ/W5Vww2/NxShgw/xU7LKkbr1hVY6p1DDgiPz9CNI99iYjScB1wCsRcVEzimsNSR3y9+VJ/ym+AjwO7FetuCLijIjoFBGdSX9Pj0XEodWOS9KKklYqfCfdu55IlX+PEfEf4B1JG+VZOwEvVzuu7GDmd/ND9WN6G9ha0gr532XhWFX1b6tSHsDHmg1Ju5OuyFoD10fEeVWM5VagHynb1gfA2cC9wB3AuqR/+PtHxKdNGNO2wFPABObfs/4t6T5/NePqDgwl/d5aAXdExLmS1iddaa8KjAUOi4hZTRVXSYz9gNMiYs9qx5W3/7c8uQxwS0ScJ2k1qvh7zLH1BK4FlgXeAo4i/06rFZekFUjP/6wfEdPyvOZwrM4BDiS9bTMWOJZ0T79Z/M3Xxg2/mZlZC+KufjMzsxbEDb+ZmVkL4obfzMysBXHDb2Zm1oK44TczM2tB3PCbmZm1IG74zczMWhA3/GZmZi3I/wclDlq/nqy2YgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f73a046b9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.sort_values(by=['winpercent'], ascending=False).head(15).plot.barh(x='competitorname', y='winpercent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"bd21e905-b0e0-4286-abc3-efcca698f775\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#bd21e905-b0e0-4286-abc3-efcca698f775"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"value\", \"type\": \"quantitative\", \"stack\": null}, \"y\": {\"field\": \"competitorname\", \"type\": \"nominal\"}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"competitorname\": \"Reese's Peanut Butter cup\", \"variable\": \"winpercent\", \"value\": 84.18029}, {\"competitorname\": \"Reese's Miniatures\", \"variable\": \"winpercent\", \"value\": 81.86625699999999}, {\"competitorname\": \"Twix\", \"variable\": \"winpercent\", \"value\": 81.642914}, {\"competitorname\": \"Kit Kat\", \"variable\": \"winpercent\", \"value\": 76.7686}, {\"competitorname\": \"Snickers\", \"variable\": \"winpercent\", \"value\": 76.67378199999999}, {\"competitorname\": \"Reese's pieces\", \"variable\": \"winpercent\", \"value\": 73.43499}, {\"competitorname\": \"Milky Way\", \"variable\": \"winpercent\", \"value\": 73.099556}, {\"competitorname\": \"Reese's stuffed with pieces\", \"variable\": \"winpercent\", \"value\": 72.887901}, {\"competitorname\": \"Peanut butter M&M's\", \"variable\": \"winpercent\", \"value\": 71.46505}, {\"competitorname\": \"Nestle Butterfinger\", \"variable\": \"winpercent\", \"value\": 70.735641}, {\"competitorname\": \"Peanut M&Ms\", \"variable\": \"winpercent\", \"value\": 69.483788}, {\"competitorname\": \"3 Musketeers\", \"variable\": \"winpercent\", \"value\": 67.602936}, {\"competitorname\": \"Starburst\", \"variable\": \"winpercent\", \"value\": 67.037628}, {\"competitorname\": \"100 Grand\", \"variable\": \"winpercent\", \"value\": 66.971725}, {\"competitorname\": \"M&M's\", \"variable\": \"winpercent\", \"value\": 66.574585}]}};\n",
       "var selector = \"#bd21e905-b0e0-4286-abc3-efcca698f775\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega3": "#bd21e905-b0e0-4286-abc3-efcca698f775"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "jupyter-vega3": "#bd21e905-b0e0-4286-abc3-efcca698f775"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.sort_values(by=['winpercent'], ascending=False).head(15).vgplot.barh(x='competitorname', y='winpercent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}