{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "A6iFUUQLNDlE"
   },
   "source": [
    "<table class=\"m01-notebook-buttons\" align=\"left\">\n",
    "  <td>\n",
    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/yy/dviz-course/blob/master/docs/m04-perception/lab04.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
    "  </td>\n",
    "  <td>\n",
    "    <a href=\"https://yyahn.com/dviz-course/m04-perception/lab04/\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View on Github</a>\n",
    "  </td>\n",
    "  <td>\n",
    "    <a href=\"https://raw.githubusercontent.com/yy/dviz-course/master/docs/m04-perception/lab04.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View raw on Github</a>\n",
    "  </td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AV6PXVX8daWu"
   },
   "source": [
    "# Module 4: Perception\n",
    "\n",
    "In this lab, we will learn basic usage of `pandas` library and then perform a small experiment to test the Stevens' power law. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "3a2oZq2JdaWx"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Xry54Co0daWy"
   },
   "source": [
    "## Vega datasets \n",
    "\n",
    "Before going into the perception experiment, let's first talk about some handy datasets that you can play with. \n",
    "\n",
    "It's nice to have clean datasets handy to practice data visualization. And there is this nice small package called [`vega-datasets`](https://github.com/altair-viz/vega_datasets), from the [altair project](https://github.com/altair-viz). \n",
    "\n",
    "You can install the package by running\n",
    "\n",
    "    $ pip install vega-datasets\n",
    "    \n",
    "or \n",
    "\n",
    "    $ pip3 install vega-datasets\n",
    "    \n",
    "Once you install the package, you can import and see the list of datasets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "yzNH1X9NdaWy",
    "outputId": "376ae11a-a6d6-46b8-ebee-8f395c2da767"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['7zip',\n",
       " 'airports',\n",
       " 'annual-precip',\n",
       " 'anscombe',\n",
       " 'barley',\n",
       " 'birdstrikes',\n",
       " 'budget',\n",
       " 'budgets',\n",
       " 'burtin',\n",
       " 'cars',\n",
       " 'climate',\n",
       " 'co2-concentration',\n",
       " 'countries',\n",
       " 'crimea',\n",
       " 'disasters',\n",
       " 'driving',\n",
       " 'earthquakes',\n",
       " 'ffox',\n",
       " 'flare',\n",
       " 'flare-dependencies',\n",
       " 'flights-10k',\n",
       " 'flights-200k',\n",
       " 'flights-20k',\n",
       " 'flights-2k',\n",
       " 'flights-3m',\n",
       " 'flights-5k',\n",
       " 'flights-airport',\n",
       " 'gapminder',\n",
       " 'gapminder-health-income',\n",
       " 'gimp',\n",
       " 'github',\n",
       " 'graticule',\n",
       " 'income',\n",
       " 'iowa-electricity',\n",
       " 'iris',\n",
       " 'jobs',\n",
       " 'la-riots',\n",
       " 'londonBoroughs',\n",
       " 'londonCentroids',\n",
       " 'londonTubeLines',\n",
       " 'lookup_groups',\n",
       " 'lookup_people',\n",
       " 'miserables',\n",
       " 'monarchs',\n",
       " 'movies',\n",
       " 'normal-2d',\n",
       " 'obesity',\n",
       " 'ohlc',\n",
       " 'points',\n",
       " 'population',\n",
       " 'population_engineers_hurricanes',\n",
       " 'seattle-temps',\n",
       " 'seattle-weather',\n",
       " 'sf-temps',\n",
       " 'sp500',\n",
       " 'stocks',\n",
       " 'udistrict',\n",
       " 'unemployment',\n",
       " 'unemployment-across-industries',\n",
       " 'uniform-2d',\n",
       " 'us-10m',\n",
       " 'us-employment',\n",
       " 'us-state-capitals',\n",
       " 'volcano',\n",
       " 'weather',\n",
       " 'weball26',\n",
       " 'wheat',\n",
       " 'windvectors',\n",
       " 'world-110m',\n",
       " 'zipcodes']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from vega_datasets import data\n",
    "\n",
    "data.list_datasets()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "tmKosEHJdaWz"
   },
   "source": [
    "or you can work with only smaller, local datasets. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "cRMCx_YEdaWz",
    "outputId": "67c09212-cbce-4f60-9933-2b64a0ba7fe9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['airports',\n",
       " 'anscombe',\n",
       " 'barley',\n",
       " 'burtin',\n",
       " 'cars',\n",
       " 'crimea',\n",
       " 'driving',\n",
       " 'iowa-electricity',\n",
       " 'iris',\n",
       " 'la-riots',\n",
       " 'ohlc',\n",
       " 'seattle-temps',\n",
       " 'seattle-weather',\n",
       " 'sf-temps',\n",
       " 'stocks',\n",
       " 'us-employment',\n",
       " 'wheat']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from vega_datasets import local_data\n",
    "local_data.list_datasets()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dWAHt5l4daW0"
   },
   "source": [
    "Ah, we have the `anscombe` data here! Let's see the description of the dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "mRdf4t2MdaW0",
    "outputId": "13047ab6-5bc4-4e98-e15c-3aa1f4f267ac"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Anscombe's Quartet is a famous dataset constructed by Francis Anscombe [1]_. Common summary statistics are identical for each subset of the data, despite the subsets having vastly different characteristics.\n"
     ]
    }
   ],
   "source": [
    "print(local_data.anscombe.description)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_P9eQ42bdaW1"
   },
   "source": [
    "## Anscombe's quartet dataset\n",
    "\n",
    "How does the actual data look like? Very conveniently, calling the dataset returns a Pandas dataframe for you. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "VwqBx4TRdaW1",
    "outputId": "5532c8ef-13b7-4839-c423-7c3282e9bfb1"
   },
   "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>Series</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I</td>\n",
       "      <td>10</td>\n",
       "      <td>8.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I</td>\n",
       "      <td>8</td>\n",
       "      <td>6.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I</td>\n",
       "      <td>13</td>\n",
       "      <td>7.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I</td>\n",
       "      <td>9</td>\n",
       "      <td>8.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I</td>\n",
       "      <td>11</td>\n",
       "      <td>8.33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Series   X     Y\n",
       "0      I  10  8.04\n",
       "1      I   8  6.95\n",
       "2      I  13  7.58\n",
       "3      I   9  8.81\n",
       "4      I  11  8.33"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = local_data.anscombe()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3sQfY34SdaW2"
   },
   "source": [
    "**Q1: can you draw a scatterplot of the dataset \"I\"?** You can filter the dataframe based on the `Series` column and use `plot` function that you used for the Snow's map. We have already learned how to filter a dataframe. If you're unsure, you can check the [Getting started tutorials](https://pandas.pydata.org/docs/getting_started/intro_tutorials/03_subset_data.html). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "CzPkKx8idaW2",
    "outputId": "c84c7d70-fa3f-49fe-a966-7f7899dfc368"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='X', ylabel='Y'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# YOUR SOLUTION HERE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "f5Wz-zSydaW2"
   },
   "source": [
    "## Some histograms with pandas "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9Yc2Ft4gdaW3"
   },
   "source": [
    "Let's look at a slightly more complicated dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "s8xjm9GRdaW3",
    "outputId": "dbee1972-dbee-46ab-d143-d9e509988005"
   },
   "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>Name</th>\n",
       "      <th>Miles_per_Gallon</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Displacement</th>\n",
       "      <th>Horsepower</th>\n",
       "      <th>Weight_in_lbs</th>\n",
       "      <th>Acceleration</th>\n",
       "      <th>Year</th>\n",
       "      <th>Origin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chevrolet chevelle malibu</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1970-01-01</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>buick skylark 320</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1970-01-01</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>plymouth satellite</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1970-01-01</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>amc rebel sst</td>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1970-01-01</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ford torino</td>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>1970-01-01</td>\n",
       "      <td>USA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name  Miles_per_Gallon  Cylinders  Displacement   \n",
       "0  chevrolet chevelle malibu              18.0          8         307.0  \\\n",
       "1          buick skylark 320              15.0          8         350.0   \n",
       "2         plymouth satellite              18.0          8         318.0   \n",
       "3              amc rebel sst              16.0          8         304.0   \n",
       "4                ford torino              17.0          8         302.0   \n",
       "\n",
       "   Horsepower  Weight_in_lbs  Acceleration       Year Origin  \n",
       "0       130.0           3504          12.0 1970-01-01    USA  \n",
       "1       165.0           3693          11.5 1970-01-01    USA  \n",
       "2       150.0           3436          11.0 1970-01-01    USA  \n",
       "3       150.0           3433          12.0 1970-01-01    USA  \n",
       "4       140.0           3449          10.5 1970-01-01    USA  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "car_df = local_data.cars()\n",
    "car_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YfQAQONTdaW3"
   },
   "source": [
    "Pandas provides useful summary functions. It identifies numerical data columns and provides you with a table of summary statistics. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "yStXiBHydaW3",
    "outputId": "d950cd59-eb18-4fd9-ef11-1fe927088567"
   },
   "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>Miles_per_Gallon</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Displacement</th>\n",
       "      <th>Horsepower</th>\n",
       "      <th>Weight_in_lbs</th>\n",
       "      <th>Acceleration</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>398.000000</td>\n",
       "      <td>406.000000</td>\n",
       "      <td>406.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>406.000000</td>\n",
       "      <td>406.000000</td>\n",
       "      <td>406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>23.514573</td>\n",
       "      <td>5.475369</td>\n",
       "      <td>194.779557</td>\n",
       "      <td>105.082500</td>\n",
       "      <td>2979.413793</td>\n",
       "      <td>15.519704</td>\n",
       "      <td>1975-12-30 13:49:57.044334976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1613.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1970-01-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>75.750000</td>\n",
       "      <td>2226.500000</td>\n",
       "      <td>13.700000</td>\n",
       "      <td>1973-01-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>151.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>2822.500000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>1976-01-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>302.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>3618.250000</td>\n",
       "      <td>17.175000</td>\n",
       "      <td>1979-01-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>46.600000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>455.000000</td>\n",
       "      <td>230.000000</td>\n",
       "      <td>5140.000000</td>\n",
       "      <td>24.800000</td>\n",
       "      <td>1982-01-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.815984</td>\n",
       "      <td>1.712160</td>\n",
       "      <td>104.922458</td>\n",
       "      <td>38.768779</td>\n",
       "      <td>847.004328</td>\n",
       "      <td>2.803359</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Miles_per_Gallon   Cylinders  Displacement  Horsepower  Weight_in_lbs   \n",
       "count        398.000000  406.000000    406.000000  400.000000     406.000000  \\\n",
       "mean          23.514573    5.475369    194.779557  105.082500    2979.413793   \n",
       "min            9.000000    3.000000     68.000000   46.000000    1613.000000   \n",
       "25%           17.500000    4.000000    105.000000   75.750000    2226.500000   \n",
       "50%           23.000000    4.000000    151.000000   95.000000    2822.500000   \n",
       "75%           29.000000    8.000000    302.000000  130.000000    3618.250000   \n",
       "max           46.600000    8.000000    455.000000  230.000000    5140.000000   \n",
       "std            7.815984    1.712160    104.922458   38.768779     847.004328   \n",
       "\n",
       "       Acceleration                           Year  \n",
       "count    406.000000                            406  \n",
       "mean      15.519704  1975-12-30 13:49:57.044334976  \n",
       "min        8.000000            1970-01-01 00:00:00  \n",
       "25%       13.700000            1973-01-01 00:00:00  \n",
       "50%       15.500000            1976-01-01 00:00:00  \n",
       "75%       17.175000            1979-01-01 00:00:00  \n",
       "max       24.800000            1982-01-01 00:00:00  \n",
       "std        2.803359                            NaN  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "car_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "i-B96tFcdaW3"
   },
   "source": [
    "If you ask to draw a histogram, you get all of them. :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "nlGwoUPodaW4",
    "outputId": "b98ed33a-47fb-4f8d-b3f0-707b8ac3a4af"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'Miles_per_Gallon'}>,\n",
       "        <Axes: title={'center': 'Cylinders'}>,\n",
       "        <Axes: title={'center': 'Displacement'}>],\n",
       "       [<Axes: title={'center': 'Horsepower'}>,\n",
       "        <Axes: title={'center': 'Weight_in_lbs'}>,\n",
       "        <Axes: title={'center': 'Acceleration'}>],\n",
       "       [<Axes: title={'center': 'Year'}>, <Axes: >, <Axes: >]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vgXt/YOQ1E+2jjz7C0KFD8dNPP2HLli3473//q4wLezCgoZLx77//4ubNm6hRo0ae652dnbFr1y5s374dGzZswKZNm/D999+jU6dO2LJlS5FnkP3222/o1asX2rVrh4ULF6Jy5cpwcHDA0qVL8xyY+jCWttP86l6Q747BYECXLl3wxhtv5Jm3Vq1aFpdZkspUgNKnTx+MHDkSe/fuxffff1/ocqpXrw4A8PX1LdCJt3r16njttdfw2muv4fTp02jcuDE++ugjZcR5QZ0+fVoZ3ATcG0BoMBiUAVPVq1eHiCAkJMSsYVlTjx498OWXX2L//v0m3er5uXHjBrZu3YqYmBi8++67SrrxLwVLBQcH488//4TBYDD5Afn777+V9WQ9Tz75JD7//HPEx8cjPDz8oXnt7Ozw3HPPYdmyZZg5cybWrVuH4cOHF+sU4uDg4Dzb0smTJ02WLf3ePkyDBg3QoEEDTJw4EXv27EHr1q2xePFivPfee0UqlwrHOCDzYTPFtFotOnfujM6dO2POnDmYPn063nnnHWzfvt2kPTzYlkQEiYmJyj1W8vLjjz/CyckJmzdvNrmXz9KlS03yVa9eHQaDASdOnEDjxo3zLMua7fRRqlevjszMTKtupzhn7TyozIxBAe71ICxatAhTpkxBz549C11OZGQkPDw8MH36dOj1erP1V69eBXBvhPSD04CrV68Od3d3ky7Agrp/TAcAzJs3DwCUmUl9+/aFnZ0dYmJizCJaESn0lN4HvfHGG3BxccELL7yA5ORks/UPbtv44/Rg+oMjxAvqiSeeQFJSkkmQeffuXcybNw9ubm5o3759ocqlvL3xxhtwdXXFSy+9lOfnfebMGXzyySfK8uDBg3Hjxg2MHDkSmZmZZpf7rO2JJ57A3r17sX//fiXt6tWrWLFihUm+gn5vHyY9PR137941SWvQoAG0Wm2hvtNUdNu2bcO0adMQEhJiNu7IKDU11SzNGCA8+Ll98803Jpc0f/jhB1y5ckU5z+bFzs4OGo0Gubm5Str58+exbt06k3y9e/eGVqvF1KlTzXqOjedHa7TTgurfvz/i4+OxefNms3VpaWlmbb0gjGPN0tLSilq9RypTPSgAMGTIkCKX4eHhgUWLFmHw4MF4/PHHMWDAAPj4+ODChQvYsGEDWrdujfnz5+PUqVPo3Lkz+vfvj7p168Le3h5r165FcnIyBgwYYPF2z507h169eqFbt26Ij4/H8uXL8dxzzyn3nqhevTree+89TJgwAefPn0fv3r3h7u6Oc+fOYe3atRgxYgRef/31Iu9/zZo1ERsbi4EDB6J27drKnWRFBOfOnUNsbCy0Wq3S3e3h4aFMgdPr9ahSpQq2bNmCc+fOFWr7I0aMwGeffYahQ4ciISEB1apVww8//IDff/8dc+fOLdCATiq46tWrIzY2Fs8++yzq1KljcifZPXv2KFO8jZo0aYL69etj9erVqFOnDh5//PFird8bb7yBb7/9Ft26dcPYsWOVacbGnjajgn5vH2bbtm0YPXo0nnnmGdSqVQt3797Ft99+Czs7O/Tr169Y95Pu3R7i77//xt27d5GcnIxt27YhLi4OwcHB+N///pfvTTanTp2KXbt2oUePHggODkZKSgoWLlyIqlWrmt1h3NvbG23atMGwYcOQnJyMuXPnokaNGnlOXzbq0aMH5syZg27duuG5555DSkoKFixYgBo1api0wRo1auCdd97BtGnT0LZtW/Tt2xc6nQ4HDhxAQEAAZsyYYZV2WlDjx4/H//73Pzz55JPK9P1bt27h6NGj+OGHH3D+/HlUqlTJojKbNm0KAPjvf/+LyMhI2NnZFer3rkBKZK5QMSnI1DQRy6cZG23fvl0iIyPF09NTnJycpHr16jJ06FA5ePCgiIhcu3ZNoqKiJDQ0VFxdXcXT01PCwsJk1apVFu2HccrciRMn5OmnnxZ3d3epUKGCjB49Wm7fvm2W/8cff5Q2bdqIq6uruLq6SmhoqERFRcnJkyeVPO3bt5d69epZVI8HJSYmyqhRo6RGjRri5OQkzs7OEhoaKi+//LIcOXLEJO+///4rffr0ES8vL/H09JRnnnlGLl++XKBj/eA0YxGR5ORkGTZsmFSqVEkcHR2lQYMGsnTpUpM8xqlxeU3zfnC79GinTp2S4cOHS7Vq1cTR0VHc3d2ldevWMm/ePLlz545J3lmzZplNf7xfQT73B7+XRnm1hz///FPat28vTk5OUqVKFZk2bZosWbKkUN9bkXvTN11dXc22ffbsWXnhhRekevXq4uTkJN7e3tKxY0f59ddf8zlqZA3G9mF8OTo6ir+/v3Tp0kU++eQTk2nBIubTjLdu3SpPPfWUBAQEiKOjowQEBMjAgQNNptcapxl/9913MmHCBPH19RVnZ2fp0aOH/PPPPybl5zXNeMmSJVKzZk3R6XQSGhoqS5cuNauH0VdffSVNmjQRnU4nFSpUkPbt20tcXJxJnqK00/zO73l9pzIyMmTChAlSo0YNcXR0lEqVKkmrVq1k9uzZkpOTIyKWnUvv3r0rY8aMER8fH9FoNMU65Vjz/ytANjRlyhTExMTg6tWrFkezRLbwySef4NVXX8X58+fznIlDpDY7duxAx44dsXr16kLP8KSSVabGoBBR8RMRLFmyBO3bt2dwQkTFpsyNQVGTzMzMPO8ncr/85qcXh4LWR+0PdSPbuHXrFv73v/9h+/btOHr0KH766SdbV4mIyjAGKMVo9uzZiImJeWiewg4kLYyC1sfSZwhR+XD16lU899xz8PLywttvv41evXrZukpEVIZxDEoxOnv27CNvEdymTZt8R6aX9foQERHlhwEKERERqQ4HyRIREZHqlMoxKAaDAZcvX4a7u3uJ3naXShcRQUZGBgICAvJ85ooasC1TQbAtU1lhSVsulQHK5cuXERgYaOtqUClx8eJF1T7kjW2ZLMG2TGVFQdpyqQxQjLc6v3jxotmjqdVGr9djy5Yt6Nq1KxwcHGxdHZsq6WORnp6OwMBAVd8a39Ztuay0z7K+H2zLJaOstKOiKO5jYElbLpUBirH70MPDQ/VfBL1eDxcXF3h4eJTbBm9kq2Oh5u5mW7flstI+y8t+sC0Xr7LSjoqipI5BQdqyOi9mEhERUbnGAIXKpRkzZqB58+Zwd3eHr68vevfujZMnT5rkuXPnDqKiolCxYkW4ubmhX79+SE5ONslz4cIF9OjRAy4uLvD19cX48eML9QhzIiIyVSov8Vhbtbc2WJT//Ac9iqkmVFJ27tyJqKgoNG/eHHfv3sXbb7+Nrl274sSJE3B1dQUAvPrqq9iwYQNWr14NT09PjB49Gn379sXvv/8OAMjNzUWPHj3g7++PPXv24MqVK3j++efh4OCA6dOn23L3LFZ/ymZk5xbs8gHbPxUGz7NkKQYoVC5t2rTJZHnZsmXw9fVFQkIC2rVrh5s3b2LJkiWIjY1Fp06dAABLly5FnTp1sHfvXrRs2RJbtmzBiRMn8Ouvv8LPzw+NGzfGtGnT8Oabb2LKlClwdHS0xa4REZUJDFCIANy8eRMA4O3tDQBISEiAXq9HRESEkic0NBRBQUGIj49Hy5YtER8fjwYNGsDPz0/JExkZiVGjRuH48eNo0qSJ2Xays7ORnZ2tLKenpwO4NzBNr9cXy749jHGbOm3Bbyhti3o+irFOaqybJfLbj9K+X0SFwQCFyj2DwYBx48ahdevWqF+/PgAgKSkJjo6O8PLyMsnr5+eHpKQkJc/9wYlxvXFdXmbMmJHnAxu3bNkCFxeXou5KoU1rZihw3o0bNxZjTYomLi7O1lWwigf3Iysr66H5d+3ahQ8//BAJCQm4cuUK1q5di969eyvrRQSTJ0/GF198gbS0NLRu3RqLFi1CzZo1lTypqakYM2YMfv75Z2i1WvTr1w+ffPIJ3NzcrLpvRAXFAIXKvaioKBw7dgy7d+8u9m1NmDAB0dHRyrLxngBdu3a12TTjuLg4TDqoRbahYGNQjk2JLOZaWc64H126dCnV00Pz2w9jT1t+bt26hUaNGuGFF15A3759zdbPmjULn376Kb7++muEhIRg0qRJiIyMxIkTJ5SHgw4aNAhXrlxBXFwc9Ho9hg0bhhEjRiA2Nta6O0lUQAxQqFwbPXo01q9fj127dpnc1dDf3x85OTlIS0sz6UVJTk6Gv7+/kmf//v0m5Rln+RjzPEin00Gn05mlOzg42PSHNdugKfAgWTUHALY+jtby4H48ap+6d++O7t2757lORDB37lxMnDgRTz31FADgm2++gZ+fH9atW4cBAwbgr7/+wqZNm3DgwAE0a9YMADBv3jw88cQTmD17NgICAqy0Z0QFxwClECwZja6zE8xqUYyVoUIREYwZMwZr167Fjh07EBISYrK+adOmcHBwwNatW9GvXz8AwMmTJ3HhwgWEh4cDAMLDw/H+++8jJSUFvr6+AO51zXt4eKBu3bolu0NE+Th37hySkpJMxlN5enoiLCwM8fHxGDBgAOLj4+Hl5aUEJwAQEREBrVaLffv2oU+fPmblWjqeSmdX8HFOxnJKWlkZy1QUxX0MLCmXAQqVS1FRUYiNjcVPP/0Ed3d3ZcyIp6cnnJ2d4enpiRdffBHR0dHw9vaGh4cHxowZg/DwcLRs2RIA0LVrV9StWxeDBw/GrFmzkJSUhIkTJyIqKirPXhIiWzC27bzGS90/nsoYZBvZ29vD29vbauOpLP1DzZZjncrKWKaiKK5j8KjxVPdjgELl0qJFiwAAHTp0MElfunQphg4dCgD4+OOPlcGC2dnZiIyMxMKFC5W8dnZ2WL9+PUaNGoXw8HC4urpiyJAhmDp1akntBpHNWDqeqv6UzRaVb4uxTmVlLFNRFPcxeNR4qvsxQKFySeTR3c1OTk5YsGABFixYkG+e4OBgVc9qITKOh0pOTkblypWV9OTkZDRu3FjJk5KSYvK+u3fvIjU11WrjqQo6xun+cmylrIxlKoriOgaWlMlb3RMRlWEhISHw9/fH1q1blbT09HTs27fPZDxVWloaEhISlDzbtm2DwWBAWFhYideZCGAPChFRqZeZmYnExERl+dy5czhy5Ai8vb0RFBSEcePG4b333kPNmjWVacYBAQHKvVLq1KmDbt26Yfjw4Vi8eDH0ej1Gjx6NAQMGcAYP2QwDFCKiUu7gwYPo2LGjsmwcGzJkyBAsW7YMb7zxBm7duoURI0YgLS0Nbdq0waZNm5R7oADAihUrMHr0aHTu3FkZe/Xpp5+W+L4QGTFAISIq5Tp06PDQcVUajQZTp0596ABub29v3pSNVIVjUIiIiEh12INCRESqY8kNMY3Of9CjGGpCtsIeFCIiIlIdBihERESkOgxQiIiISHUYoBAREZHqMEAhIiIi1eEsnhJSf8pmi55FwdHoRERUnrEHhYiIiFSHAQoRERGpDgMUIiIiUh0GKERERKQ6DFCIiIhIdRigEBERkeowQCEiIiLVYYBCREREqsMbtakUHzVORETlmdV7UKZMmQKNRmPyCg0NVdbfuXMHUVFRqFixItzc3NCvXz8kJydbuxpERERUihXLJZ569erhypUrymv37t3KuldffRU///wzVq9ejZ07d+Ly5cvo27dvcVSDiIiISqliucRjb28Pf39/s/SbN29iyZIliI2NRadOnQAAS5cuRZ06dbB37160bNmyOKpDREREpUyxBCinT59GQEAAnJycEB4ejhkzZiAoKAgJCQnQ6/WIiIhQ8oaGhiIoKAjx8fH5BijZ2dnIzs5WltPT0wEAer0eer2+yPXV2UmRy8i3bK2Y/FucrHEsipOxfiVVT7UfDyIiyp/VA5SwsDAsW7YMtWvXxpUrVxATE4O2bdvi2LFjSEpKgqOjI7y8vEze4+fnh6SkpHzLnDFjBmJiYszSt2zZAhcXlyLXeVaLIhfxSNOaGYp9Gxs3biz2bVhDXFxciWwnKyurRLZDRETWZ/UApXv37sr/GzZsiLCwMAQHB2PVqlVwdnYuVJkTJkxAdHS0spyeno7AwEB07doVHh4eRa5z/Smbi1xGfnRawbRmBkw6qEW2QVNs2wGAY1Mii7X8otLr9YiLi0OXLl3g4OBQ7Nsz9rQREVHpU+zTjL28vFCrVi0kJiaiS5cuyMnJQVpamkkvSnJycp5jVox0Oh10Op1ZuoODg1V+6LJzizdwAIBsg6bYt1Nz0haL32OLqcnW+twKsh0iIiqdiv1GbZmZmThz5gwqV66Mpk2bwsHBAVu3blXWnzx5EhcuXEB4eHhxV4WIiIhKCav3oLz++uvo2bMngoODcfnyZUyePBl2dnYYOHAgPD098eKLLyI6Ohre3t7w8PDAmDFjEB4ezhk8REREpLB6gPLvv/9i4MCBuH79Onx8fNCmTRvs3bsXPj4+AICPP/4YWq0W/fr1Q3Z2NiIjI7Fw4UJrV4OIiIhKMasHKCtXrnzoeicnJyxYsAALFiyw9qaJiIiojODDAomIiEh1GKAQERGR6jBAISIiItVhgEJERESqU+w3aiNSq127duHDDz9EQkICrly5grVr16J3797KehHB5MmT8cUXXyAtLQ2tW7fGokWLULNmTSVPamoqxowZg59//lmZnfbJJ5/Azc3NBntEalPtrQ0W5dfZSYk8eoMKz9LP1BY3wywr2INC5datW7fQqFGjfGeUzZo1C59++ikWL16Mffv2wdXVFZGRkbhz546SZ9CgQTh+/Dji4uKwfv167Nq1CyNGjCipXSAiKrMYoFC51b17d7z33nvo06eP2ToRwdy5czFx4kQ89dRTaNiwIb755htcvnwZ69atAwD89ddf2LRpE7788kuEhYWhTZs2mDdvHlauXInLly+X8N4Q5W/KlCnQaDQmr9DQUGX9nTt3EBUVhYoVK8LNzQ39+vVDcnKyDWtMxEs8RHk6d+4ckpKSEBERoaR5enoiLCwM8fHxGDBgAOLj4+Hl5YVmzZopeSIiIqDVarFv3748A5/s7GxkZ2cry8YHGur1euj1+mLco7wZt6nTisXvURNjndRWN51dwY8r8H+fw4P7YY39qlevHn799Vdl2d7+/07/r776KjZs2IDVq1fD09MTo0ePRt++ffH7778XebtEhcUApZzj9dS8JSUlAQD8/PxM0v38/JR1SUlJ8PX1NVlvb28Pb29vJc+DZsyYgZiYGLP0LVu2wMXFxRpVL5RpzQwFzrtx48ZirEnRxMXF2boKJgo7nuTB/cjKyipyXezt7fN8KOvNmzexZMkSxMbGolOnTgCApUuXok6dOti7dy8fQ0I2wwCFqARNmDAB0dHRynJ6ejoCAwPRtWtXeHh4lHh99Ho94uLiMOmgFtmGgj1t+9iUyGKuleWM+9GlSxdVPcW6/pTNFuXXaQXTmhnM9sPY01YUp0+fRkBAAJycnBAeHo4ZM2YgKCgICQkJ0Ov1Jr2FoaGhCAoKQnx8fL4BiqW9gZb2JhVGUXuaCtITZ+l+qK1X71GKuzfSknIZoBDlwfiXZnJyMipXrqykJycno3HjxkqelJQUk/fdvXsXqampef6lCgA6nQ46nc4s3cHBwaY/rNkGDbJzCxagqCkAeJCtj+ODCnpMH/TgfhR1n8LCwrBs2TLUrl0bV65cQUxMDNq2bYtjx44hKSkJjo6O8PLyMnnP/b2FebG0N7AkZidZq3fvYT1xlu6HmnscH6a4eiMt6Q1kgEKUh5CQEPj7+2Pr1q1KQJKeno59+/Zh1KhRAIDw8HCkpaUhISEBTZs2BQBs27YNBoMBYWFhtqo6kZnu3bsr/2/YsCHCwsIQHByMVatWwdnZuVBlWtobaGlvUmEUtXevID1xlu6HGnscH6a4eyMt6Q1kgELlVmZmJhITE5Xlc+fO4ciRI/D29kZQUBDGjRuH9957DzVr1kRISAgmTZqEgIAA5V4pderUQbdu3TB8+HAsXrwYer0eo0ePxoABAxAQEGCjvSJ6NC8vL9SqVQuJiYno0qULcnJykJaWZtKLkpycnG9PIGB5b2Bhe5MsYa0f1If1xFm6H2rq0bNEcfVGWlImpxlTuXXw4EE0adIETZo0AQBER0ejSZMmePfddwEAb7zxBsaMGYMRI0agefPmyMzMxKZNm+Dk5KSUsWLFCoSGhqJz58544okn0KZNG3z++ec22R+igsrMzMSZM2dQuXJlNG3aFA4ODti6dauy/uTJk7hw4QLCw8NtWEsq79iDQuVWhw4dIJL/gDeNRoOpU6di6tSp+ebx9vZGbGxscVSPyGpef/119OzZE8HBwbh8+TImT54MOzs7DBw4EJ6ennjxxRcRHR0Nb29veHh4YMyYMQgPD+cMHrIpBihERGXcv//+i4EDB+L69evw8fFBmzZtsHfvXvj4+AAAPv74Y+VRDdnZ2YiMjMTChQttXGsq7xigEFGZUX/K5gKPESgv9/QBgJUrVz50vZOTExYsWJDvYx+oZPH+VPdwDAoRERGpDgMUIiIiUh0GKERERKQ6DFCIiIhIdRigEBERkeowQCEiIiLVYYBCREREqsMAhYiIiFSHN2ojIiIqxSy9sRtQOm7uxh4UIiIiUh32oBARUZnAW8SXLQxQyCJltSuRiIjUhZd4iIiISHUYoBAREZHqMEAhIiIi1WGAQkRERKrDAIWIiIhUhwEKERERqQ4DFCIiIlIdBihERESkOgxQiIiISHUYoBAREZHqlLlb3RfmVuxERESkLmUuQCEiIqKHy++PeZ2dYFYLoP6UzcjO1SjptnimGi/xEBERkeowQCEiIiLVYYBCREREqsMxKEREVC49OA4jv/EXZBvsQSEiIiLVYYBCREREqsNLPERERPRQhbnHWFGnJjNAIdWxxReBiIjUhQEKFTtjwMEBaEREVFAcg0JERESqY9MAZcGCBahWrRqcnJwQFhaG/fv327I6RIXGtkxlBdsyqYXNApTvv/8e0dHRmDx5Mg4dOoRGjRohMjISKSkptqoSUaGwLVNZwbZMamKzMShz5szB8OHDMWzYMADA4sWLsWHDBnz11Vd46623bFUtIosVV1vmYGEqaTwvW19hvsd0j00ClJycHCQkJGDChAlKmlarRUREBOLj483yZ2dnIzs7W1m+efMmACA1NRV6vd4kr/3dW8VU68KxNwiysgyw12uRayjfA0OL81hcv37dLC0jIwMAICJW3db91NaW8zoOD6PX65GVlWXRZ2LpNgAgbMZWi/Lvm9DZovwltR+WsvQzNH5Hrl+/DgcHByW9tLdlQH3n5rzwfG3dY1Dk87LYwKVLlwSA7NmzxyR9/Pjx0qJFC7P8kydPFgB88VWo18WLF9mW+SoTL7ZlvsrKqyBtuVRMM54wYQKio6OVZYPBgNTUVFSsWBEajbqj3PT0dAQGBuLixYvw8PCwdXVsqqSPhYggIyMDAQEBxb6tglJbWy4r7bOs7wfbcskoK+2oKIr7GFjSlm0SoFSqVAl2dnZITk42SU9OToa/v79Zfp1OB51OZ5Lm5eVVnFW0Og8Pj3Lb4B9UksfC09OzWMsvK225rLTPsrwfbMslp6y0o6IozmNQ0LZsk1k8jo6OaNq0KbZu/b/r0gaDAVu3bkV4eLgtqkRUKGzLVFawLZPa2OwST3R0NIYMGYJmzZqhRYsWmDt3Lm7duqWMHicqLdiWqaxgWyY1sVmA8uyzz+Lq1at49913kZSUhMaNG2PTpk3w8/OzVZWKhU6nw+TJk826QsujsnosSnNbLiufCffDOkpzW7YGWx9/NVDTMdCIFOO8NSIiIqJC4LN4iIiISHUYoBAREZHqMEAhIiKyQIcOHdChQwdbV8PMsmXLoNFocP78eVtXxSoYoNzH+OEePHgwz/UdOnRA/fr1S7hWRLYzdOhQVKtWrdDvdXNzs26FHnD+/HloNBosW7asWMp/cP+N25s9e3axbI/ytnDhQmg0GoSFhdm6Kqowffp0rFu3ztbVKHYMUIhKoVWrVkGj0WDt2rVm6xo1agSNRoPt27ebrQsKCkKrVq1KoooFlpWVhSlTpmDHjh22rgqp1IoVK1CtWjXs378fiYmJtq6OzeUXoAwePBi3b99GcHBwyVeqGDBAsYIZM2agefPmcHd3h6+vL3r37o2TJ0+a5Llz5w6ioqJQsWJFuLq6onfv3mZ3bCyLPvjgA2g0GowbN05Ju/9YuLm5oV+/fsqxuHVL/Q8UU4M2bdoAAHbv3m2Snp6ejmPHjsHe3h6///67ybqLFy/i4sWLynuN8vqMjL744guztmxtWVlZiImJKVSAYm9vjwEDBiA6OhrOzs5o0KBBvj2gapWbm4tJkyYhJCQEzs7OqF69OqZNm1asDwYsTc6dO4c9e/Zgzpw58PHxwYoVKyx6v6Xn5wfPSUYXLlxAjx494OLigj179uDMmTO4e/dukffPYDDgzp07RS4HAOzs7ODk5PTIRw1Yel42uv8Y+Pr6Yvz48VY5BvmywjOmyoylS5cKADlw4ECe69u3by/16tVTlvV6vUydOlWcnZ3F3t5eAgIC5IUXXpDIyEgJCgqSzMxMEREJDg6WoKAgqVSpktSqVUscHR0lODhYWrVqJVu2bJHWrVuLp6enuLq6Sq1atWTChAkm271z5468++67Ur16dXF0dJSqVavK+PHj5c6dOyb5AEhUVJQsX75catWqJTqdTh5//HHZuXOn2b4cOnRIunXrJu7u7uLq6iqdOnWS+Ph4Zf2NGzdEq9XKJ598oqRdvXpVNBqNeHt7i8FgUNJffvll8fPzMyl/79690rJlS9FoNKLRaKRKlSqye/duJX9gYKA8//zzAkAaNmwolSpVEi8vL2ncuPFDPyP6PyEhIWYPcdu0aZNoNBoZOHCgREZGmqyLjY0VAPLTTz8pafv375dq1apJw4YNZezYsVat35AhQ8TV1fWR+a5evSoAZPLkyRaVn5qaKsHBwTJ06FDZt2+fnD17VjZv3iyJiYmFrLG5IUOGSHBwsLJ87tw5ASAffvih1bbx/vvvS8WKFWX9+vVy7tw5Wb16tbi5uZl898qzadOmSYUKFSQ7O1tGjRolNWvWNMtz48YNGTdunAQHB4ujo6NUqVJFBg8eLFevXpXIyEhZunSpJCQkyMiRI8XFxUUAiJ+fn/Tp00cSExOVc1JcXJxER0eLs7OzaDQa8fX1lREjRsjVq1elfv36EhERIYcPH5YGDRqIvb29ybm6MOfpunXrir29vaxdu1ZERD788EMJDw8Xb29vcXJykscff1xWr15t9v4HX0OGDBGR//sNO3funMl7FixYIHXr1hVHR0epVKmSuLu7S7169Uy+85UrVxZ7e3tZsmSJNG3aVLRarTg6OsrMmTNFROTu3bsmx2Djxo1SqVIls98ra2KAch/jh/vrr7/K1atXzV6tWrUyCVCGDBkiAOTpp5+WBQsWKD+43bt3FwBKYBAYGCgAxNXVVd566y1ZvHixfP311wJAHBwcpFmzZvLJJ5/I4sWL5fXXX5d27dop28jNzZWuXbuKi4uLjBs3Tj777DMZPXq02Nvby1NPPWVSfwBSv359qVSpkkydOlVmzpwpwcHB4uzsLEePHlXyHTt2TFxdXaVy5coybdo0+eCDDyQkJER0Op3s3btXydewYUPp16+fsrx27VrRarUCQI4dO6ak16tXT55++mlleevWreLo6ChOTk4ycuRIqV69ulSqVEkcHR1l69at4uDgIKtXr1aehlq9enUBIOPHj5cFCxYU/YMsJwYPHiwODg6SlZWlpE2aNEnq168v33zzjXh6ekpubq6yLioqSjQajVy7dk1ERL744gvR6XTi6Ogo9vb2UqtWLblw4YLJNh78gRYRuXbtmvznP/8Rd3d38fT0lOeff16OHDkiAGTp0qUm73V1dZV///1XnnrqKXF1dZVKlSrJa6+9Jnfv3hWR//vBf/BVkGDlzTfflGbNmhVquwX1sABlzpw5EhQUJE5OTtKuXTuT75iIyJUrV2To0KFSpUoVcXR0FH9/f+nVq5fZj0ePHj3khRdeMEnr27evDBo0yKK6llWhoaHy4osviojIrl27BIDs379fWZ+RkSH169cXOzs7GT58uCxatEimTZsmzZs3l8OHD4vIvR/Xzp07CwDp06ePAJARI0ZIp06dZMWKFco56aWXXhJ7e3t55plnBIAMHjxY+cNRo9FIUlKSiNz7Y7VmzZri4eEh2dnZFp+n69SpIz4+PhITEyMLFixQ6lm1alV55ZVXZP78+TJnzhxp0aKFAJD169cr7//2229Fp9NJ27Zt5dtvv5Vvv/1WeQJ1XgGK8TwbEREhs2fPFk9PT9FqteLu7i6jR48WEZG0tDTRaDRSoUIFCQwMlLFjx8q7776rfB83btwoGzduFK1WqxwDEZFFixYpx6A4MEC5j/HDfdjLGKAYT8gvvfSSSRmvv/66ktd4wvLz8xMA8sMPP5jk9fLyEgBy9erVfOv07bffilarld9++80kffHixQJAfv/9dyXNuN2DBw8qaf/88484OTlJnz59lLTevXuLo6OjnDlzRkm7fPmyuLu7mwRHUVFRJj0j0dHR0q5dO/H19ZVFixaJiMj169dFo9Eof+0ZDAapWbOmBAQEKNF5+/btJSoqSkJCQqRp06YCQG7cuKF8cQYOHChBQUEyZ86cfI8Dmfvss88EgGzfvl1J69Spk4wYMUISExMFgPzxxx/KusaNG0udOnVEROS9994TAFKrVi1ZuHChEshWq1ZNbty4obznwR/o3NxcCQ8PFzs7Oxk9erTMnz9funTpIo0aNcozUHBycpJ69erJCy+8IIsWLZJ+/foJAFm4cKGIiGRmZsqiRYuUHw7jCff+euenTp06MmzYMAEg7u7u0rhxY/n8888LtN2Cyi9AadCggVSrVk1mzpwpMTEx4u3tLT4+PiYn71atWomnp6dMnDhRvvzyS5k+fbp07NjRrEfz/fffl+DgYDl58qSI3Du3+Pr6yvLlyy2qa1l08OBBASBxcXEicu/8UrVqVZO//I0/pGvWrDF7v7Gn96uvvhIAMmfOHDl9+rTJ+fnXX39VfoQByIoVK0RElHPSpk2bBIAEBQUp5bZv317CwsIEgBw6dMji87RWq5Xjx4+b1ff+PzZERHJycqR+/frSqVMnk3RXV1el1+R+DwYoKSkp4ujoKF27dpXc3Fx5/vnnZdy4cTJ//nwlaBG590el8ffjm2++UcoLDAwUd3d36devn0yaNEkaNWpksr2zZ88qx6A4MEC5j/HDXbBggcTFxZm9GjZsqAQo06dPFwBy4sQJkzIuXbokACQgIEBJq1SpkuR1NS0kJEQAyJdffmnyl+79evXqJfXq1TPrzTl16pQAkPfee0/JC0DCw8PNynj22WfFxcVF7t69K3fv3hUXFxfp37+/Wb6RI0eKVquVmzdviojIypUrBYD8/fffIiLSvHlzmThxovTr10+ee+45ERH56aefTBrooUOHBIBUqVJFLl68qPQ8jRgxQl566SVxcHAQBwcHEfm/yH7nzp3SvHlzeeONN/L5ZCgvx48fFwAybdo0Ebl3ydHV1VW+/vprEbkXGBt7pNLT05W/MM+fPy9arVZ8fX3l9u3bInLvhDto0CCxt7eX999/X9nGgz/QP/74owCQuXPnKmm5ubnSqVOnPAMUADJ16lSTejdp0kSaNm2qLBf2Eo+x9weATJkyRT777DNxcnKS1q1bF2i7BZFfgOLs7Cz//vuvkr5v3z4BIK+++qqI3LvkUNBLQbm5ufLmm2+KRqMRe3t70Wg0Mn36dIvqWVa9+uqr4ufnZ9Lz9dprr5mk1atXz+yH80E9evSQSpUqSXZ2tvTo0UNat26trFuxYoU4OjrKf//7X/H09JSUlBS5evWqNG7cWEaPHi1Xr14VBwcHqVKlivKe9u3bS9u2bZXAxtLzdMeOHR+576mpqXL16lUZNWqUeHl5mawraIBivKy7ceNG+e6776R+/fpy+/Ztyc7OFjs7O6lRo4ZyDDQajbi5uZlcvm/evLnUqFFDmjRpIsOHD5euXbuabO/WrVtK+cWBg2Tz0KJFC0RERJi9KlSooOT5559/oNVqUaNGDZP3Tps2DVqtFk2aNDFJz2vQkre3N6pUqYKXXnoJfn5+GDBgAFatWgWDwaDkOX36NI4fPw4fHx+TV61atQAAKSkpJmXWrFnTbDu1atVCVlYWrl69iqtXryIrKwu1a9c2y1enTh0YDAZcvHgRANC2bVsAwG+//YZbt27h8OHDaNu2Ldq1a4fffvtNWefh4YFGjRoBAOLj4wEAly5dQmBgIHx8fLBnzx58/vnn+PLLL6HX6822GxISYpZGj1anTh1UrFhRGSj7xx9/4NatW8osnVatWikDZePj45Gbm4s2bdrgq6++gsFgwJIlS5CZmYlr165Br9fD1dUVNWvWzHP2j9GmTZvg4OCA4cOHK2larRZRUVH5vufll182WW7bti3Onj1b6P02MhgMqFevHgAgODgYI0aMwPDhw5UBkMW1XQDo3bs3qlSpoiy3aNECYWFh2LhxIwDA2dkZjo6O2LFjB27cuPHQslatWoUVK1YgNjYWhw4dwtdff43Zs2fj66+/tkpdS6vc3FysXLkSHTt2xLlz55CYmIjExESEhYUhOTlZeerymTNnHnn7hzNnzqB27doYO3Ysjh07hpUrV5rlOX36NG7evAlfX1/4+PjgyJEjmD9/Pnx8fKDX65GTk5Nv+Zaep/M7561fvx4tW7aEk5MTvL294ePjg0WLFuHmzZsP3b/8/PPPPwAAd3d3jB07FitWrICTkxMcHR3h7OyM9PR0k/xVq1Y1+61ycnJ6ZBsuLjZ7WGBZcf+HOXr0aKxfvx5ubm5wdnZW0u3s7CAiSEtLg5eXl5J+9epVvPrqq2jcuDE2bNiATZs24fvvv0enTp2wZcsW2NnZwWAwoEGDBpgzZ06e2w8MDCy2fQsICEBISAh27dqFatWqQUQQHh4OHx8fjB07Fv/88w9+++03tGrVClrtvVj3zJkzAO4dF+OxMQZcWq0WM2bMwJtvvom0tDRlO87OzkhOToa/v3+x7UtZpNFo0KpVK+zatQsGgwG///47fH19laC5VatWmD9/PgAogUqbNm3w3XffAQB69uxpUt6ePXsAAA4ODvlu859//kHlypXh4uJikv5goG7k5OQEHx8fk7QKFSpY5YRXuXJl1KxZE4cPH1bS6tSpg1u3bhXrdoH8/xBYtWoVgHsPXJs5cyZee+01+Pn5oWXLlnjyySfx/PPPm7Xz8ePH46233sKAAQMAAA0aNMA///yDGTNmYMiQIVapb2m0bds2XLlyBStXrswzoFixYgW6du1a4PLOnj2Lf/75B7t27ULVqlWVdH9/f+Tk5CAnJwe+vr7KLKFBgwahb9++6NevH5YtW4YDBw6YlGcMWPz9/S0+T9//+2D022+/oVevXmjXrh0WLlyIypUrw8HBAUuXLkVsbGyB9zMvx44dQ0pKCh5//HElLTc3F5mZmbC3t8fmzZvznDWWnJwMPz8/ZGRkwN/fH/v37zdbD6DYzt0MUAopODgYBoMBp0+fRmhoKMaMGYO1a9fihx9+QKtWrUzmoTs6OkKj0WDr1q3o168fAODkyZO4cOECWrdujZYtW6Jz586YM2cOpk+fjnfeeQfbt29HREQEqlevjj/++AOdO3d+5NQx4F4k/6BTp07BxcVFOWG7uLjkOXX077//hlarNfkytW3bFrt27UJISAgaN24Md3d3NGrUCJ6enti0aRMOHTqEmJgYJX/Pnj0xZ84cTJo0Cc888wwAYNiwYQgNDcWbb76JwMBATJw4UfnrBwASExNx4cIFhIeHP3L/yFSbNm3w888/4+jRo/j9999N7nHSqlUrjB8/HpcuXcLu3bsREBCAxx57DAEBAdBoNFi0aJESWM6ePRuBgYF49tln0aBBA6vVz87OzmplPah169Zm7f3UqVNwc3NDVlZWsW23oMaNG4eePXti3bp12Lx5MyZNmoQZM2Zg27ZtJj2sWVlZyudgZPzjpDxbsWIFfH19sWDBArN1a9aswdq1a7F48WJUr14dx44dy7ccEcHt27eRnJyMo0ePmvVeNG3aFA4ODrC3t8f169fRunVrXLhwASkpKRgyZAhatmwJvV6P7777DikpKfD19QUA3LhxAx4eHqhbt67F5+m8/Pjjj3BycsLmzZtNniS8dOlSs7wF3Ybxd8jHxwdHjx5V0vV6PZo3b44qVapgw4YNCAwMhEajMbnNg/E3qn79+khJSUF4eDjef/99k2MQFxenHINiUSwXjkopS6YZGwfJjhgxQkaNGiWenp6yY8cOiYqKUgbEGgc8GacZBwUFybZt2+TgwYMSHh4uzZo1M9vGhg0bTEZtL1u2TADIZ599ZpY3KytLmcos8n+DZBMSEpS0CxcuiJOTk/Tu3VtJ6927t+h0OpOR3klJSeLh4WEySFbk3kwPAFK7dm0ZN26ckt69e3epVauWADAZGJabmyvVq1eXmjVrSkZGhnLcjIPaUlJS5OWXX5agoCBl1lOzZs3yHDtDj/b7778LAJk/f75UqVLFZMzDnTt3RKfTyfLly8XV1VWeeeYZERGZNWuWAFAGZYqYfkb3e3AMxvDhw8XBwUFu3bplks84NiWv2TQPMo49Mrp27VqhxqDs379f7OzsBIB88MEHsmLFCnFxcZG2bdsWaLsFkd8YlIEDB5rlDQsLk9q1a+db1qlTp8TFxcVsds6QIUOkSpUqyjTjNWvWSKVKlcr1mKysrCxxd3c3m91kZGz3K1eufOQg2VGjRomzs7MyVunKlSty5coV5fxsMBjk5ZdfFl9fXwEgw4YNk/DwcJNz0p07d6ROnTrStWtXOXLkiDRo0EAcHByUKbaWnqejoqLM8kVHR4uLi4vJd+vcuXPKtOj7+fn5mc0OEsl/kGy3bt1MxpYsXLjQZJCsyL1pxg4ODia/UeHh4cp3wDjN2HgMNm3aJD4+PpxmXFIsvQ+KcRBgfi/jyTo4OFi6d+8ur7zyilSoUEFcXFykT58+8tJLL0mTJk1k4sSJ8sUXX8j7778vVapUkapVq0paWpqI3PvBf+KJJ0Sj0ciAAQNk3rx5MnfuXHn55ZfF29vbpK5A3tOMnZycTGZFGKcZV6lSRd5//32ZOXOmPPbYY2bTjEVE/v77b2V/fvzxRyV9xowZAkB0Op3ZPP/t27eLk5OTBAUFyeTJk6VWrVoSFhYm7dq1kyeffFJu374tr7zyijg5OQkAeeKJJ+TKlSuF+9DKuezsbHFycpLw8HCz2QIiopxkACgzrRITE8XOzk6ee+455aRlDFAMBoMyDVnE/Af6hx9+sGiQbEEChaysLAFQqPuwfPnllwJA7O3tJTQ0VJnFU9wBSn6DZI1B/K1bt5QByEa5ubni5+dnMiVf5N4A5rFjxypTlh977DF55513im3qZmlgHKC/bt26PNfn5uaKj4+P9OzZUzIyMqRu3brKIPDFixfL9OnTpWXLlsofknm9+vfvL127dpV169Yp5yTjoGs/Pz+JiYmR+fPny9ixYyUgIEAWLlwo3bt3V+57VbVqVdHr9Up9LDlP5xWgGGfStG3bVhYtWiQxMTHi6+srDRs2NGu3TzzxhLi6uspHH30k3333nXLeftg0465du8r8+fNlzJgxYmdnZzLNWESkbdu24u3tbfIbdeXKFZPvwPnz55VjYJy6bzwGxYEByn0Kc6O2mJgYCQkJEQcHBwkMDJQJEyaY/WAHBwdLjx49zMrbunWrPPXUUxIQECCOjo4SEBAgAwcOlFOnTpnky8nJkZkzZ0q9evVEp9NJhQoVpGnTphITE6PMuBExvQFQzZo1RafTSZMmTUymoRodOnRIIiMjxc3NTVxcXKRjx47KXPoHGf+ySE5OVtJ2796tfJnycvjwYenbt69UrFhRdDqdBAcHS//+/WXr1q1KHuMX52HTrOnRjLMJ8goWX3vttTx71owBZqtWrWTWrFmyaNEieeONN6RmzZomvTAP/kDfvXtXWrRoYTLNuGvXrtK4cWMBIMuWLTN5b0EDhbp164q/v78sWLBAvvvuO7N7iuTHGDAUJjAqiIJMM546dap4e3tLxYoV5fLlyyJyr/17e3vLyy+/LJ9++qksXLhQunTpovSu0sP17NlTnJyczHrq7jd06FBxcHCQa9euyfXr12X06NHKPWeqVq0qQ4YMMQm2s7Ky5J133lHO1/7+/vL000+b3G5BROTzzz+Xpk2birOzs7i7u0uDBg3kjTfeUD5bkXu/Be3btzd5n6Xn6bwsWbJEOXeHhobK0qVL82y3f//9t7Rr107pGXrUjdrmz58voaGh4uDgIH5+fjJq1CiT2wkY9+n+3zejvO6FVFIYoJQhD2v4VHZNmDBBCTYetGbNGgHu3SfkwZuU/fjjj9KmTRtxdXUVV1dXCQ0NlaioKJNLP3mdnK5evSrPPfeccqO2oUOHmnS53//eggYKe/bskaZNmyp/wRb0co+tApQPP/xQPvroIwkMDFRumnV/L+W1a9ckKipKQkNDxdXVVTw9PSUsLExWrVpl0faJyjONCB/4UFZoNBpERUUpMzeISsq6devQp08f7N69G61bt7Z1dYioDOB9UIjIIrdv3zZZzs3Nxbx58+Dh4WEyjZGIqCg4zZiILDJmzBjcvn0b4eHhyM7Oxpo1a7Bnzx5Mnz49z/s7FEZOTg5SU1MfmsfT07PQ20tNTX3ojbfs7OzM7qNCRCWLl3iIyCKxsbH46KOPkJiYiDt37qBGjRoYNWoURo8ebbVt7NixAx07dnxonqVLl2Lo0KGFKr9Dhw7YuXNnvuuDg4Nx/vz5QpVNRNbBAIWIVOfGjRtISEh4aJ569eqhcuXKhSo/ISHhoXeVdXZ25lgaIhtjgEJERESqUyrHoBgMBly+fBnu7u6Fvq0wlX0igoyMDAQEBJjdSlwt2JapINiWqaywpC2XygDl8uXLxfqQPCpbLl68aPJwMDVhWyZLsC1TWVGQtlwqAxR3d3cA93bQw8PDxrV5OL1ejy1btqBr164PfUpseVGSxyM9PR2BgYFKe1Eja7dltrf8leZjUx7bMlC6P7OSVlqOlSVtuVQGKMbuQw8Pj1IRoLi4uMDDw0PVjaak2OJ4qLm72dptme0tf2Xh2JSntgyUjc+spJS2Y1WQtqzOi5lERERUrjFAISIiItUplZd4bK3aWxsKnFdnJ5jVohgrQ3Sf+lM2Y1aLe/9m5xbscsD5D3oUc62Iyg5Lzv8Av19FwR4UIiIiUh0GKERERKQ6DFCIiIhIdRigEBERkeowQCEiIiLVYYBCREREqsNpxkREVC5ZOmWYShZ7UIiIiEh1GKAQERGR6jBAISIiItVhgEJERESqY3GAsmvXLvTs2RMBAQHQaDRYt26dyXoRwbvvvovKlSvD2dkZEREROH36tEme1NRUDBo0CB4eHvDy8sKLL76IzMzMIu0IERERlR0Wz+K5desWGjVqhBdeeAF9+/Y1Wz9r1ix8+umn+PrrrxESEoJJkyYhMjISJ06cgJOTEwBg0KBBuHLlCuLi4qDX6zFs2DCMGDECsbGxRd8jIiIilSjMTCE+YPAeiwOU7t27o3v37nmuExHMnTsXEydOxFNPPQUA+Oabb+Dn54d169ZhwIAB+Ouvv7Bp0yYcOHAAzZo1AwDMmzcPTzzxBGbPno2AgIAi7A4RERGVBVa9D8q5c+eQlJSEiIgIJc3T0xNhYWGIj4/HgAEDEB8fDy8vLyU4AYCIiAhotVrs27cPffr0MSs3Ozsb2dnZynJ6ejoAQK/XQ6/XW3MXCkRnJwXPq72X1xb1VCPjcSiJ48FjTkRUelk1QElKSgIA+Pn5maT7+fkp65KSkuDr62taCXt7eHt7K3keNGPGDMTExJilb9myBS4uLtaoukVmtbD8PXFxcdavSClWEscjKyur2LdBRETFo1TcSXbChAmIjo5WltPT0xEYGIiuXbvCw8OjxOtTf8rmAufVaQXTmhnQpUsXODg4FGOtSge9Xo+4uLgSOR7GnjYiIip9rBqg+Pv7AwCSk5NRuXJlJT05ORmNGzdW8qSkpJi87+7du0hNTVXe/yCdTgedTmeW7uDgYJMf/excjcXvsVVd1aokjgePNxFR6WXV+6CEhITA398fW7duVdLS09Oxb98+hIeHAwDCw8ORlpaGhIQEJc+2bdtgMBgQFhZmzeoQERFRKWVxD0pmZiYSExOV5XPnzuHIkSPw9vZGUFAQxo0bh/feew81a9ZUphkHBASgd+/eAIA6deqgW7duGD58OBYvXgy9Xo/Ro0djwIABNpvBwwdGERERqYvFAcrBgwfRsWNHZdk4NmTIkCFYtmwZ3njjDdy6dQsjRoxAWloa2rRpg02bNin3QAGAFStWYPTo0ejcuTO0Wi369euHTz/91Aq7Q0RERGWBxQFKhw4dIJL/NFuNRoOpU6di6tSp+ebx9vbmTdmIiIgoX3wWDxEREakOAxQiIiJSHQYoREREpDoMUIiIiEh1GKAQERGR6jBAISIiItVhgEJERESqwwCFiIiIVIcBChEREakOAxQiIiJSHQYoREREpDoWP4uHiMoWS5/mff6DHsVUEyKi/8MeFCIiIlIdBihERESkOgxQiIiISHUYoBAREZHqcJAsEVnE0kG1AAfWEpHl2INClI8pU6ZAo9GYvEJDQ5X1d+7cQVRUFCpWrAg3Nzf069cPycnJNqwxEVHZwQCF6CHq1auHK1euKK/du3cr61599VX8/PPPWL16NXbu3InLly+jb9++NqwtUd4YbFNpxEs8RA9hb28Pf39/s/SbN29iyZIliI2NRadOnQAAS5cuRZ06dbB37160bNmypKtK9FD16tXDr7/+qizb2//f6f/VV1/Fhg0bsHr1anh6emL06NHo27cvfv/9d1tUlQgAAxSihzp9+jQCAgLg5OSE8PBwzJgxA0FBQUhISIBer0dERISSNzQ0FEFBQYiPj883QMnOzkZ2draynJ6eDgDQ6/XQ6/VFrq9OKyb/qoU19s1adVBDXSxljToz2KbShgEKUT7CwsKwbNky1K5dG1euXEFMTAzatm2LY8eOISkpCY6OjvDy8jJ5j5+fH5KSkvItc8aMGYiJiTFL37JlC1xcXIpc52nNjP8ailyWNW3cuNHWVVDExcXZugoWy8rKKnIZpS3YNpZ1/7+PUn/KZovK19lZXKUSUZjjV1oCcEvqxwCFKB/du3dX/t+wYUOEhYUhODgYq1atgrOzc6HKnDBhAqKjo5Xl9PR0BAYGomvXrvDw8ChynZtO3YRpzQyYdFCLbIOmyOVZy7EpkbauAvR6PeLi4tClSxc4ODjYujoWMf74F1ZpDLbvV9CgclYLq27WZooS0Ks9ALck2GaAQlRAXl5eqFWrFhITE9GlSxfk5OQgLS3N5MSenJycZze6kU6ng06nM0t3cHCwyo+mMSjJNmiQnaueAEVNAYG1jnVJKmp9S2OwDVgeVFrag6JWhQnoS0sAbkmwzQCFqIAyMzNx5swZDB48GE2bNoWDgwO2bt2Kfv36AQBOnjyJCxcuIDw83MY1JXq40hBsF6ZMNQXlRVGU46f2ANySunGaMVE+Xn/9dezcuRPnz5/Hnj170KdPH9jZ2WHgwIHw9PTEiy++iOjoaGzfvh0JCQkYNmwYwsPDOaiQVM8YbFeuXNkk2DZisE1qwB4Uonz8+++/GDhwIK5fvw4fHx+0adMGe/fuhY+PDwDg448/hlarRb9+/ZCdnY3IyEgsXLjQxrUmMvf666+jZ8+eCA4OxuXLlzF58uQ8g21vb294eHhgzJgxDLbJ5higEOVj5cqVD13v5OSEBQsWYMGCBSVUI6LCYbBdulj6OImy+igJBihERGUcg20qjTgGhYiIiFTH6gEKn/lARERERVUsPSh8wBoREREVRbGMQeEzH4ioKCwdJAiU3YGCROVVsQQope2ZDzq74nuwmvGhbWp/PkJJKcnnRfCYq0dhAg4iKt+sHqCUxmc+lMTzG9T+fISSVhLHwxoPWCMiItuweoBSGp/5UJzPb9BpBdOaGUrk+QiF2Y+SfohbST4voqgPWCMiItsp9vuglIZnPpTE8xtK4vkIhdkPWz2zoSSOh5qfR0G2x3EuROpW7AEKH7B2T/0pmy0KIHgiJCKi8szqAQqf+UBERERFZfUAhc98ICIioqKyeoDCZz4QERFRUfFZPERERKQ6fJoxkUoVZpaJzq4YKlJKPOp46ewEs1pYPmCdiGyDPShERESkOgxQiIiISHUYoBAREZHqMEAhIiIi1WGAQkRERKrDAIWIiIhUhwEKERERqQ4DFCIiIlIdBihERESkOmXuTrKFufsmERERqQt7UIiIiEh1GKAQERGR6pS5SzxERMXF0kvI5z/oUUw1ISr7GKAQEZHqVHtrA59AXc7xEg8RERGpDgMUIiIiUh1e4lEpTpcmIqLyjAEKERFRKVaY8TqlYQA3L/EQERGR6rAHhSxSmEtPpSFSJyIidWGAUs5xrAsREakRL/EQERGR6jBAISIiItVhgEJERESqwzEoRERU7DjeTV1Kw3OlGKCQ6nCmEJUVbMtEhcdLPERERKQ6DFCIiIhIdWx6iWfBggX48MMPkZSUhEaNGmHevHlo0aKFLatExeD+bu6y+vh0tmUqK9iWKS+2uFxpsx6U77//HtHR0Zg8eTIOHTqERo0aITIyEikpKbaqElGhsC1TWcG2TGpiswBlzpw5GD58OIYNG4a6deti8eLFcHFxwVdffWWrKhEVCtsylRVsy6QmNrnEk5OTg4SEBEyYMEFJ02q1iIiIQHx8vFn+7OxsZGdnK8s3b94EAKSmpkKv15vktb97q5hqXTj2BkFWlgH2ei1yDWXnkkZhFdfxuH79ullaRkYGAEBErLadB6mtLbO95a+0HJuy2JYBtufipsZjVeS2LDZw6dIlASB79uwxSR8/fry0aNHCLP/kyZMFAF98Fep18eJFtmW+ysSLbZmvsvIqSFsuFfdBmTBhAqKjo5Vlg8GA1NRUVKxYERqNOiLF/KSnpyMwMBAXL16Eh4eHratjcyV5PEQEGRkZCAgIKNbtWKK42zLbW/5K87Epj20ZKN2fWUkrLcfKkrZskwClUqVKsLOzQ3Jyskl6cnIy/P39zfLrdDrodDqTNC8vr+KsotV5eHioutGUtJI6Hp6ensVavlrbMttb/krrsSmvbRkovZ+ZLZSGY1XQtmyTQbKOjo5o2rQptm7dqqQZDAZs3boV4eHhtqgSUaGwLVNZwbZMamOzSzzR0dEYMmQImjVrhhYtWmDu3Lm4desWhg0bZqsqERUK2zKVFWzLpCY2C1CeffZZXL16Fe+++y6SkpLQuHFjbNq0CX5+fraqUrHQ6XSYPHmyWVdoeVUWj4ea2nJZPL7WwmPzaGpqywA/M0uUxWOlESnGeWtEREREhcBn8RAREZHqMEAhIiIi1WGAQkRERKrDAEUlunfvjgoVKpjdgwC4dwvpypUrIywsDAaDwQa1IyIiKlkMUAph165d6NmzJwICAqDRaLBu3TqT9SKCd999F5UrV4azszMiIiJw+vRpkzypqakYNGgQPDw84OXlBXd3d+Tk5ODVV181297bb7+Na9eu4fPPP4dWq76PbMaMGWjevDnc3d3h6+uL3r174+TJkyZ57ty5g6ioKFSsWBFubm7o16+fWTB24cIF9OjRAy4uLvD19cX48eNx9+7dktwVVSjJ47ljxw48/vjj0Ol0qFGjBpYtW1bcu2c1H3zwATQaDcaNG6ek8biUTtY4p5YH1jo3lBpFf4JD+bNx40Z55513ZM2aNQJA1q5da7L+gw8+EE9PT1m3bp388ccf0qtXLwkJCZHbt28rebp16yaNGjWSvXv3ym+//SY1atSQRo0aCQDZvHmzkm///v2i1WrljTfeKPb9un37tuTm5lr8vsjISFm6dKkcO3ZMjhw5Ik888YQEBQVJZmamkufll1+WwMBA2bp1qxw8eFBatmwprVq1UtbfvXtX6tevLxEREXL48GHZuHGjVKpUSSZMmGCVfStNSup4nj17VlxcXCQ6OlpOnDgh8+bNEzs7O9m0aVOJ7m9h7N+/X6pVqyYNGzaUsWPHKunl/biUVtY4p5YH1jg3lCYMUIrowS+TwWAQf39/+fDDD5W0tLQ00el08t1334mIyIkTJwSAHDhwQMnzyy+/CACpU6eOVK9eXW7fvi13796Vxx9/XEJCQuTWrVvy119/Sb9+/aRChQqi0+mkadOm8tNPP5nU5/r16/Laa69J/fr1xdXVVdzd3aVbt25y5MgRk3zbt28XAPLdd9/JO++8IwEBAaLRaOTGjRtFPiYpKSkCQHbu3Knsv4ODg6xevVrJ89dffwkAiY+PF5F7JyitVitJSUlKnkWLFomHh4dkZ2cXuU6lWXEdzzfeeEPq1atnsq1nn31WIiMji3uXiiQjI0Nq1qwpcXFx0r59eyVAKe/HpawozDm1vCrMuaE0Ud/1glLu3LlzSEpKQkREhJLm6emJsLAw5ZHl8fHx8PLyQrNmzZQ8ERERsLOzw5AhQ3Du3DlMmzYN8+fPx6FDh7Bo0SKcO3cOLVu2xF9//YW33noLH330EVxdXdG7d2+sXbtWKefs2bNYt24dnnzyScyZMwfjx4/H0aNH0b59e1y+fNmsvtOmTcOGDRvw+uuvY/r06XB0dCzyMTA+dt3b2xsAkJCQAL1eb3JMQkNDERQUZHJMGjRoYHJDqMjISKSnp+P48eNFrlNpVlzHMz4+3qQMYx5jGWoVFRWFHj16mNW9vB+Xsqog59TyqjDnhtKkVDzNuDRJSkoCALM7L/r5+SnrkpKS4Ovra7Le3t4e3t7e8PDwwCuvvIIPP/wQOp0OAwcORGRkJCIiIhAUFIQDBw4odwp85ZVX0KZNG7z55pvo06cPAKBBgwY4deqUyViVwYMHIzQ0FEuWLMGkSZNMtnvnzh0cPHgQzs7OVtl/g8GAcePGoXXr1qhfv76yv46OjmYPEnvwmOR1zIzryqviPJ755UlPT8ft27et1iasaeXKlTh06BAOHDhgtq48H5eyrCDn1PKosOeG0oQ9KCr0/vvvo2LFitBqtfj444+RmpqKbdu2oX///sjIyMC1a9dw7do1XL9+HZGRkTh9+jQuXboE4N7tjo3BSW5uLq5fvw43NzfUrl0bhw4dMtvWkCFDrHrCjYqKwrFjx7By5UqrlVme8Xj+n4sXL2Ls2LFYsWIFnJycbF0dIpsqD+cGBihWZnws+cMeWe7v74+UlBST9Xfv3kVqair8/f3h4eGB2rVrIzAwEH5+fkhMTISIYNKkSfDx8TF5TZ48GQCU8gwGAz7++GPUrFkTOp0OlSpVgo+PD/7880+lO/B+ISEhVtv30aNHY/369di+fTuqVq1qckxycnKQlpb20GOS1zEzriuPivt45pfHw8NDlb0ECQkJSElJweOPPw57e3vY29tj586d+PTTT2Fvbw8/P79yeVzKuoKcU8ubopwbShMGKFYWEhICf39/k0eWp6enY9++fcojy8PDw5GWloaEhAQlz7Zt22AwGBAWFmZWpvHeJ6+//jri4uLyfNWoUQMAMH36dERHR6Ndu3ZYvnw5Nm/ejLi4ONSrVy/Pe6hY44QrIhg9ejTWrl2Lbdu2mQU9TZs2hYODg8kxOXnyJC5cuGByTI4ePWoSuMXFxcHDwwN169Ytch1Lk5I6nuHh4SZlGPMYy1Cbzp074+jRozhy5IjyatasGQYNGqT8vzwel7KuIOfU8sIa54ZSxbZjdEunjIwMOXz4sBw+fFgAyJw5c+Tw4cPyzz//iMi9KXFeXl7y008/yZ9//ilPPfVUntOMmzRpIvv27ZPdu3dLzZo1ZeDAgcr69u3bKzMJkpOTBUCBptw2atRIOnbsaJZepUoVad++vbJsnMVz/2jvwho1apR4enrKjh075MqVK8orKytLyfPyyy9LUFCQbNu2TQ4ePCjh4eESHh6urDdO/+zatascOXJENm3aJD4+PuVymnFJHU/jdNrx48fLX3/9JQsWLCh102nvn8UjwuNSWlnjnFoeWOPcUJowQCkE44/7g68hQ4aIyL1pcZMmTRI/Pz/R6XTSuXNnOXnypEkZ169fl4EDB4qbm5t4eHjIsGHDJCMjQ1l/f4AiItKhQwfx9vaWy5cvm9UnJSVF+f/jjz8uHTp0MFm/atUqAVBsAUpexwKALF26VMlz+/ZteeWVV6RChQri4uIiffr0kStXrpiUc/78eenevbs4OztLpUqV5LXXXhO9Xl/k+pU2JXk8t2/fLo0bNxZHR0d57LHHTLZRGjwYoPC4lE7WOKeWB9Y6N5QWGhGR4u6lIct16NAB165dw7FjxwAAJ06cQJs2baDVajF8+HA89thjSE5ORnx8PP7991/88ccfAIDJkydj6tSpGDp0KFq1aoWjR49ixYoV8PLyQmBgIHbs2AHg3p0yO3bsiNWrV+Ppp5+21W4SERHlidOMS4m6devi4MGDiImJwbJly3D9+nX4+vqiSZMmePfdd5V8b7/9Nm7duoXY2Fh8//33ePzxx7Fhwwa89dZbNqw9ERGRZdiDQkRERKrDWTxERESkOgxQiIiISHUYoBAREZHqMEAhIiIi1WGAQkRERKrDAIWIiIhUp1TeB8VgMODy5ctwd3eHRqOxdXVIpUQEGRkZCAgIUJ7wTEREpUOpDFAuX76MwMBAW1eDSomLFy+aPPGTiIjUr1QGKO7u7gDu/fB4eHgo6Xq9Hlu2bEHXrl3h4OBglW2xzNJbZnp6OgIDA5X2QkREpUepDFCMl3U8PDzMAhQXFxd4eHhY9cePZZbuMnkZkIio9OGFeSIiIlIdBihERESkOqXyEs+j1J+yGdm5Be/WP/9Bj2KsTeFUe2uDRfl1doJZLYqpMkRERCWMPShERESkOgxQiIiISHUYoBAREZHqlMkxKFS6cfwNERGxB4WIiIhUhwEKERERqQ4DFCIiIlIdBihERESkOgxQiIiISHUYoBAREZHqMEAhIiIi1WGAQkRERKrDAIWIiIhUhwEKERERqQ4DFCIiIlIdBihERESkOlYPUKZMmQKNRmPyCg0NVdbfuXMHUVFRqFixItzc3NCvXz8kJydbuxpERERUihVLD0q9evVw5coV5bV7925l3auvvoqff/4Zq1evxs6dO3H58mX07du3OKpBREREpZR9sRRqbw9/f3+z9Js3b2LJkiWIjY1Fp06dAABLly5FnTp1sHfvXrRs2bI4qkNERESlTLEEKKdPn0ZAQACcnJwQHh6OGTNmICgoCAkJCdDr9YiIiFDyhoaGIigoCPHx8fkGKNnZ2cjOzlaW09PTAQB6vR56vV5JN/5fpxWL6nt/Gfmte1geSxWkTJ2dZftg3OeSrmdxlGmtfbdmvYmIqGRpRMSyX4NH+OWXX5CZmYnatWvjypUriImJwaVLl3Ds2DH8/PPPGDZsmEmwAQAtWrRAx44dMXPmzDzLnDJlCmJiYszSY2Nj4eLiYs3qUxmSlZWF5557Djdv3oSHh4etq0NERBaweoDyoLS0NAQHB2POnDlwdnYuVICSVw9KYGAgrl27ZvLDo9frERcXh0kHtcg2aApcx2NTIvNdZyyzS5cucHBwKHCZD1OQMutP2WxRmTqtYFozQ4nXszjKtNa+p6eno1KlSgxQiIhKoWK5xHM/Ly8v1KpVC4mJiejSpQtycnKQlpYGLy8vJU9ycnKeY1aMdDoddDqdWbqDg0OeP3LZBg2ycwseoBTkxze/bRXFw8q0pP4FLbOwSuu+W7vORERUcor9PiiZmZk4c+YMKleujKZNm8LBwQFbt25V1p88eRIXLlxAeHh4cVeFiIiISgmr96C8/vrr6NmzJ4KDg3H58mVMnjwZdnZ2GDhwIDw9PfHiiy8iOjoa3t7e8PDwwJgxYxAeHs4ZPERERKSweoDy77//YuDAgbh+/Tp8fHzQpk0b7N27Fz4+PgCAjz/+GFqtFv369UN2djYiIyOxcOFCa1eDiIiISjGrBygrV6586HonJycsWLAACxYssPamiYiIqIzgs3iIiIhIdRigEBERkeowQCEiIiLVYYBCREREqsMAhYiIiFSHAQoRERGpDgMUIiIiUh0GKERERKQ6xf6wwLKo2lsbLH7P+Q96FENNiIiIyib2oBAREZHqMEAhIiIi1WGAQkRERKrDAIWIiIhUhwEKERERqQ5n8ZRzD5uRpLMTzGoB1J+yGdm5GgCcjURERCWDPShERESkOgxQiIiISHUYoBAREZHqMEAhIiIi1WGAQkRERKrDAIWIiIhUhwEKERERqQ4DFCIiIlIdBihERESkOgxQiIiISHV4q3uyyMNujV8Qed0+n4iI6EHsQSEiIiLVsXoPyowZM7BmzRr8/fffcHZ2RqtWrTBz5kzUrl1bydOhQwfs3LnT5H0jR47E4sWLrV2dArH0gXlqVlrqSURE9DBWD1B27tyJqKgoNG/eHHfv3sXbb7+Nrl274sSJE3B1dVXyDR8+HFOnTlWWXVxcrF0VVbk/CCptQQ8REVFJs3qAsmnTJpPlZcuWwdfXFwkJCWjXrp2S7uLiAn9/f2tvnoiIiMqAYh8ke/PmTQCAt7e3SfqKFSuwfPly+Pv7o2fPnpg0aVK+vSjZ2dnIzs5WltPT0wEAer0eer1eSTf+X6cVq9XfWBbLVH+Z97eFvJaJiKj00IiI9X4pHmAwGNCrVy+kpaVh9+7dSvrnn3+O4OBgBAQE4M8//8Sbb76JFi1aYM2aNXmWM2XKFMTExJilx8bGlvlLQ1R4WVlZeO6553Dz5k14eHjYujpERGSBYg1QRo0ahV9++QW7d+9G1apV8823bds2dO7cGYmJiahevbrZ+rx6UAIDA3Ht2jWTHx69Xo+4uDhMOqhFtsE6Yzt0WsG0ZgaWWQrK7NKlCxwcHJT09PR0VKpUiQEKEVEpVGyXeEaPHo3169dj165dDw1OACAsLAwA8g1QdDoddDqdWbqDg4PJD5JRtkFj9cGnLFP9ZT7YHvJqG0REVDpYPUAREYwZMwZr167Fjh07EBIS8sj3HDlyBABQuXJla1eHiIiISiGrByhRUVGIjY3FTz/9BHd3dyQlJQEAPD094ezsjDNnziA2NhZPPPEEKlasiD///BOvvvoq2rVrh4YNG1q7OkRERFQKWT1AWbRoEYB7N2O739KlSzF06FA4Ojri119/xdy5c3Hr1i0EBgaiX79+mDhxorWrQkRERKVUsVzieZjAwECzu8gSERER3Y/P4iEiIiLVYYBCREREqsMAhYiIiFSHAQoRERGpDgMUIiIiUh0GKERERKQ6DFCIiIhIdRigEBERkeowQCEiIiLVYYBCREREqsMAhYiIiFSHAQoRERGpDgMUIiIiUh0GKERERKQ6DFCIiIhIdRigEBERkeowQCEiIiLVYYBCREREqsMAhYiIiFSHAQoRERGpDgMUIiIiUh0GKERERKQ6DFCIiIhIdRigEBERkeowQCEiIiLVYYBCREREqsMAhYiIiFTHpgHKggULUK1aNTg5OSEsLAz79++3ZXWIiIhIJWwWoHz//feIjo7G5MmTcejQITRq1AiRkZFISUmxVZWIiIhIJWwWoMyZMwfDhw/HsGHDULduXSxevBguLi746quvbFUlIiIiUgl7W2w0JycHCQkJmDBhgpKm1WoRERGB+Ph4s/zZ2dnIzs5Wlm/evAkASE1NhV6vV9L1ej2ysrJgr9ci16CxSl3tDYKsLAPLLAVlXr9+HQ4ODkp6RkYGAEBErLIdIiIqOTYJUK5du4bc3Fz4+fmZpPv5+eHvv/82yz9jxgzExMSYpYeEhBRbHe/3HMss1WVmZGTA09OzGLZKRETFxSYBiqUmTJiA6OhoZdlgMCA1NRUVK1aERvN/f4Wnp6cjMDAQFy9ehIeHh1W2zTJLb5kigoyMDAQEBFhlO0REVHJsEqBUqlQJdnZ2SE5ONklPTk6Gv7+/WX6dTgedTmeS5uXllW/5Hh4eVvvxY5mlu0z2nBARlU42GSTr6OiIpk2bYuvWrUqawWDA1q1bER4ebosqERERkYrY7BJPdHQ0hgwZgmbNmqFFixaYO3cubt26hWHDhtmqSkRERKQSNgtQnn32WVy9ehXvvvsukpKS0LhxY2zatMls4KwldDodJk+ebHY5qChYZvksk4iIbEsjnINJREREKsNn8RAREZHqMEAhIiIi1WGAQkRERKrDAIWIiIhUhwEKERERqY7qApRdu3ahZ8+eCAgIgEajwbp160zWJycnY+jQoQgICICLiwu6deuG06dPK+vPnz8PjUaT58vb21sp88KFC+jRowdcXFxQqVIl1K9fv0hlfvzxxxg4cCACAwPh7OyMmjVrokWLFkWup9H169dRuXJlaDQaVK5cuchlLlu2DA0bNoROp4OTkxNcXV2LVOaBAwfQuXNneHl5wdPTE1WqVIGvr2+eZQJAUlISBg8eDH9/fzg5OcHT09OsjqmpqRg0aBDc3Nzg6OgIFxeXApXn6uqKxx9/HD/++KPJfrz44osICQmBs7MzqlevjsmTJyMnJ6dgDZOIiEqU6gKUW7duoVGjRliwYIHZOhFB7969cfbsWfz00084fPgwgoODERERgVu3bgEAAgMDceXKFZPXf/7zHzg4OGD+/PkA7t21tkePHsjJycHvv/8OHx8fnDx5El27di10mWfOnIGvry+WL1+OY8eOAQASEhIwaNCgQpd5vxdeeAF37twBAKxYsaJIZc6ZMwfvvPMO3nzzTdStWxf16tXD1KlTC13m7du30a1bNwQFBWHv3r0ICQlBTk4OcnNzsX//frMyAeD555/HyZMn8b///Q8LFy5EkyZNkJaWZrLPgwYNwrFjxxASEoK6deuiYsWK6NSp0yPLO3r0KPr27Yv+/fvj8OHDAIC///4bBoMBn332GY4fP46PP/4Yixcvxttvv/3oRklERCVPVAyArF27Vlk+efKkAJBjx44pabm5ueLj4yNffPFFvuU0btxYXnjhBaXMiRMnilarlaSkJKXMSZMmiYeHh2RnZxeqzLzqOWDAAOnYsWOh62ksc+HChdK8eXMBIADkxo0bhS7z22+/FWdnZ/n111+tdjw//PBDASAXLlxQylyzZo0AkNOnT+dZpqurq3zzzTcm5Xp7eyv7feLECQEgP/zwg1LHX375RTQajVy8eLHA5T1sP2bNmiUhISH5riciIttRXQ/Kw2RnZwMAnJyclDStVgudTofdu3fn+Z6EhAQcOXIEL774opJ28uRJNGjQAH5+fkqZnTp1Qnp6Oo4fP16oMvOqZ1ZWFry9vQtdTwA4ceIEpk6divfee8/sPYUp848//oDBYMClS5cQGRkJABg/fjwuXrxY6DKrVKmCihUrYsmSJcjMzAQA/PTTT6hTpw6qVauWZ5mtWrXC999/j9TUVBgMBqxcuVLpIQKA+Ph4eHl5oVatWgDufeYRERHQarU4cOBAgcvr0KFDnvsBADdv3lQ+HyIiUpdSFaCEhoYiKCgIEyZMwI0bN5CTk4OZM2fi33//xZUrV/J8z5IlS1CnTh20atVKSUtLS1NuqW8sc968eQCAixcvFqrMB+vp5+eHn3/+GQMHDix0PfV6PQYOHIgPP/wQHTt2VOqclpZW6DKTkpJgMBgwffp0zJ8/H/7+/khISECnTp2QmZlZqDKdnZ2xY8cOLF++HM2aNQMArFmzBitXroTBYMizzFWrVkGv16NixYrQ6XQYOXIk1q5da1JPX19fk888IyMDFSpUwDfffFPg8mrUqJHnfiQmJmLevHkYOXJknuuJiMi2SlWA4uDggDVr1uDUqVPw9vaGi4sLtm/fju7du0OrNd+V27dvIzY2Nt+ejvvLNA667NOnT5HLPHnyJLKzs+Hn54enn3660PX89ttvUadOHWXMR0xMDAAgJCSk0GWKCPR6PT799FP06NED69evh4+PDxITE+Hp6VmoMrOzs/Hiiy+idevW2LdvH5YuXQqtVotGjRrlW89JkyYhLS0Nv/76Kw4ePIjo6Gj079/fbJsPfubXrl3DqVOnClze0aNHzcq8dOkSunXrhmeeeQbDhw83W09ERCpg62tMD4MHxnbcLy0tTVJSUkREpEWLFvLKK6+Y5fnmm2/EwcFByWcs85lnnpFGjRqZ5D179qwAkK1btxaqTGM9jx8/Lr6+vvL2228XuZ7VqlUTrVYrdnZ2YmdnJ1qtVgCIVquV1157rVBljh49WgDIxYsXTfJXqlRJPvroo0KVGRUVJb6+vpKbm6ukZ2dni7Ozs3z22WdmZSYmJpqNfRER6dy5s3IslyxZIl5eXibrr127JlqtVtasWVPg8kaOHGmSdunSJalZs6YMHjzYpL5ERKQupaoH5X6enp7w8fHB6dOncfDgQTz11FNmeZYsWYJevXrBx8fHJL127do4evQoUlJSlLS4uDh4eHigdevWhSoTAI4fP46OHTtiyJAheP/994tczzfffBN//PEHjhw5giNHjuDLL78EAOzevRtvvPFGocqsU6cOgHu9PEapqalITU1F/fr1C1VmdnY2tFotNBqNkqbVaqHVauHm5mZWZlZWlpLnfnZ2dsr/w8PDkZaWhoSEBCUtISEBIgIfH58Cl2cwGJTlS5cuoUOHDmjatKnSy0NEROpkb+sKPCgzMxOJiYnK8rlz53DkyBF4e3sjKCgIq1evho+PD4KCgnD06FGMHTsWvXv3RteuXU3KSUxMxK5du7Bx40azMr28vBASEoKnn34a8+bNw6pVq7BgwQI899xz2LRpU6HK3LNnD1544QV06NAB0dHR+OKLL1CxYkUEBgbi8uXLhSrz9u3buHv3rrLvP/zwA4B7Yz7i4+MLVWZ2djY6dOiAUaNGYdmyZYiPj8cPP/yAxx57DBkZGejSpYvFZVasWBHXr1/H888/j7fffhu//PILfvnlF2i1WmRnZ5uVGRoaiho1amDkyJGYPXs2nJycsGzZMmzZskX5zKtVq4b27dtj+PDheOaZZ+Dm5oY5c+agTZs2+M9//vPQ8ipWrIh169YhLi4O69evB/B/wUlwcDBmz56Nq1evKvX39/cHERGpjK27cB60fft2ZTrt/a8hQ4aIiMgnn3wiVatWFQcHBwkKCpKJEydKdna2WTkTJkyQwMBAyc3NzbfMKlWqiLOzs7i6uoqbm5tVyszrVdQyjftuvDxjjXrWqFFDvLy8xMXFRZydna1Spq+vr3h6eoqzs7PodDqxt7fPt8xTp05J3759xdfXV3Q6XZ7lDRgwQAYOHCiOjo6i0WhEq9VKYGDgI8tzcXGRhg0bmkw7Xrp0ab6fDxERqY9GRKQY4h4iIiKiQuNFeCIiIlIdBihERESkOgxQiIiISHUYoBAREZHqMEAhIiIi1WGAQkRERKrDAIWIiIhUhwEKERERqQ4DFCIiIlIdBihERESkOgxQiIiISHX+H4X6RdW6ae2lAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "car_df.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MuyXYn4CdaW4"
   },
   "source": [
    "Well this is too small. You can check out [the documentation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.hist.html) and change the size of the figure. \n",
    "\n",
    "**Q2: by consulting the documentation, can you make the figure larger so that we can see all the labels clearly? And then change the layout so that there are two rows and four columns? Then change the number of bins to 20.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "FyfDK4HOdaW4",
    "outputId": "3b437fa3-dbdd-4260-95a1-105a927b671d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# YOUR SOLUTION HERE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "D77Frcp7daW4"
   },
   "source": [
    "## Stevens’ power-law and your own psychophysics experiment!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "T-7NpYoLdaW5"
   },
   "source": [
    "Let's do an experiment! The procedure is as follows:\n",
    "\n",
    "1. Generate a random number between \\[1, 10\\];\n",
    "1. Use a horizontal bar to represent the number, i.e., the length of the bar is equal to the number;\n",
    "1. Guess the length of the bar by comparing it to two other bars with length 1 and 10 respectively;\n",
    "1. Store your guess (perceived length) and actual length to two separate lists;\n",
    "1. Repeat the above steps many times;\n",
    "1. Check whether Steven's power-law holds.\n",
    "\n",
    "First, let's define the length of a short and a long bar. We also create two empty lists to store perceived and actual length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "f6VZywlTdaW5"
   },
   "outputs": [],
   "source": [
    "import random\n",
    "import time\n",
    "import numpy as np\n",
    "\n",
    "l_short_bar = 1\n",
    "l_long_bar = 10\n",
    "\n",
    "perceived_length_list = []\n",
    "actual_length_list = []"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IKNTGT3xdaW5"
   },
   "source": [
    "### Perception of length\n",
    "\n",
    "Let's run the experiment.\n",
    "\n",
    "The [**`random`**](https://docs.python.org/3.6/library/random.html) module in Python provides various random number generators, and the [**`random.uniform(a,b)`**](https://docs.python.org/3.6/library/random.html#random.uniform) function returns a floating point number in \\[a,b\\]. \n",
    "\n",
    "We can plot horizontal bars using the [**`pyplot.barh()`**](http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.barh) function. Using this function, we can produce a bar graph that looks like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "id": "u3gelUBidaW5",
    "outputId": "dc5dc477-b409-40e7-aa00-ff2823c301f9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([], [])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mystery_length = random.uniform(1, 10)  # generate a number between 1 and 10. this is the *actual* length.\n",
    "\n",
    "plt.barh(np.arange(3), [l_short_bar, mystery_length, l_long_bar], align='center')\n",
    "plt.yticks(np.arange(3), ('1', '?', '10'))\n",
    "plt.xticks([]) # no hint!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yy8dkmu2daW6"
   },
   "source": [
    "Btw, `np.arange` is used to create a simple integer list `[0, 1, 2]`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "W65s9lm4daW6",
    "outputId": "ca81097b-b6d1-4229-da7a-3be70575c1cd"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2lBZNRtUdaW6"
   },
   "source": [
    "Now let's define a function to perform the experiment once. When you run this function, it picks a random number between 1.0 and 10.0 and show the bar chart. Then it asks you to input your estimate of the length of the middle bar. It then saves that number to the `perceived_length_list` and the actual answer to the `actual_length_list`. \n",
    "\n",
    "Note, if the input box does not appear for you try (1) switching to firefox, OR (2) removing the input line from the code and manually record the numbers in a cell, OR (3) adding a prompt to it like input(\"enter estimation\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "e_DQBZQydaW6"
   },
   "outputs": [],
   "source": [
    "def run_exp_once():\n",
    "    mystery_length = random.uniform(1, 10)  # generate a number between 1 and 10. \n",
    "\n",
    "    plt.barh(np.arange(3), [l_short_bar, mystery_length, l_long_bar], height=0.5, align='center')\n",
    "    plt.yticks(np.arange(3), ('1', '?', '10'))\n",
    "    plt.xticks([]) # no hint!\n",
    "    plt.show()\n",
    "    \n",
    "    perceived_length_list.append( float(input()) )\n",
    "    actual_length_list.append(mystery_length)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "5g_ZPmuldaW6",
    "outputId": "84389f8b-d4c4-40fe-aec3-e1945f86d4a2"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "run_exp_once()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PB00kn_adaW6"
   },
   "source": [
    "Now, run the experiment many times to gather your data. Check the two lists to make sure that you have the proper dataset. The length of the two lists should be the same. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "2QHJYMXBdaW7",
    "outputId": "f42f9684-489e-477d-967a-1ad44e3a68c8"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# YOUR SOLUTION HERE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sDcIUKKcdaW7"
   },
   "source": [
    "### Plotting the result\n",
    "\n",
    "Now we can draw the scatter plot of perceived and actual length. The `matplotlib`'s [**`scatter()`**](http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter) function will do this. This is the backend of the pandas' scatterplot. Here is an example of how to use `scatter`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "SDsyY5C0daW7",
    "outputId": "444dd984-3efb-4e38-d82a-884a170c0bff"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x10d813e10>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=[1,5,10], y=[1,10, 5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Yd7pt5KAdaW7"
   },
   "source": [
    "**Q3: Now plot your result using the `scatter()` function. You should also use `plt.title()`, `plt.xlabel()`, and `plt.ylabel()` to label your axes and the plot itself.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "id": "co_FFK0rdaW7",
    "outputId": "5bdd521e-93fa-4364-ae3c-f7992a2eae90"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Perceived')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# YOUR SOLUTION HERE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NAUGtzsvdaW7"
   },
   "source": [
    "After plotting, let's fit the relation between actual and perceived lengths using a polynomial function. We can easily do it using [**`curve_fit(f, x, y)`**](http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.curve_fit.html) in Scipy, which is to fit $x$ and $y$ using the function `f`. In our case, $f = a*x^b +c$. For instance, we can check whether this works by creating a fake dataset that follows the exact form:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "id": "T594p1VedaW8",
    "outputId": "d672c4dc-f2e7-4d6a-f546-41e78268d43b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.00 x^2.00 + 0.00\n"
     ]
    }
   ],
   "source": [
    "from scipy.optimize import curve_fit\n",
    "\n",
    "def func(x, a, b, c):\n",
    "    return a * np.power(x, b) + c\n",
    "\n",
    "x = np.arange(20)  # [0,1,2,3, ..., 19]\n",
    "y = np.power(x, 2) # [0,1,4,9, ... ]\n",
    "\n",
    "popt, pcov = curve_fit(func, x, y)\n",
    "print('{:.2f} x^{:.2f} + {:.2f}'.format(*popt))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "upXAgK-PdaW8"
   },
   "source": [
    "**Q4: Now fit your data!** Do you see roughly linear relationship between the actual and the perceived lengths? It's ok if you don't!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "CfwcFzPIdaW8",
    "outputId": "3bbfbc61-f7ea-40a7-e1f3-2db0834557d6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.52 x^1.18 + 1.76\n"
     ]
    }
   ],
   "source": [
    "# YOUR SOLUTION HERE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wMsxGsrLdaW8"
   },
   "source": [
    "### Perception of area\n",
    "\n",
    "Similar to the above experiment, we now represent a random number as a circle, and the area of the circle is equal to the number.\n",
    "\n",
    "First, calculate the radius of a circle from its area and then plot using the **`Circle()`** function. `plt.Circle((0,0), r)` will plot a circle centered at (0,0) with radius `r`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "id": "BE-bNUp6daW8",
    "outputId": "997a07e5-31ed-480d-c17c-f590d1895654"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Circle at 0x10db1ac10>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1DgBQBL5/3/K4avr61BkAAABJVFRE/PdfnR7vO+uw1CmUKQMFAAAAAApae3cmrnqiNn7z5Ppo786kzgEgoTceNy6+9vbj4+RDR6VOAQAK1JVPrIv/vH9l6gwAAICkqisr4uq/eVW86fjxqVMoQwYKAAAAABSknkwurp+9MS57dG3s6OhJnQNAgaioiHj3aYfGpW87Po4YMzR1DgBQQG6fXxdfnbIonIIAAACIGFpTFTd8+rw44/ADU6dQZgwUAAAAACgouVw+7lxYHz9+eHXU7dydOgeAAjWoqiI+fM4R8cW3HBvjRgxOnQMAJDZtVWN86pq5kck5AgEAAPAno4fVxJTPnh+Txw1PnUIZMVAAAAAAoGA8urIhfvjgqli5rS11CgBFYmhNVXzydUfH379hUowYMih1DgCQwMLNu+IjV82Kzp5s6hQAAICCM/HAA+L2z78mJowckjqFMmGgAAAAAEBy8zY2xw8eWBVzNjSnTgGgSI0eVhOff9Pk+Pj5R8bg6qrUOQDAAFnX1B5/9auZ0dzRkzoFAACgYJ1w8Ii4+TPnx6gDvOSF/megAAAAAEAyqxva4ocProypKxpTpwBQIiYeeED84wXHxvvPOiwqKytS5wAA/aihtSved/mMqN+1O3UKAABAwTvnqNHxh0+eE0MGecEL/ctAAQAAAIABV79rd/z4j6vjjgV1kfN0CoB+cNyE4XHp246Pt518cOoUAKAftOzujQ/9emas3NaWOgUAAKBo/MXJE+Lyj54dVV7uQj8yUAAAAABgwDR39MRlj66N62ZvjJ5MLnUOAGXg7CMPin9++wlxztGjU6cAAH2kqzcbF/92TsxZ35w6BQAAoOh8+Jwj4v++79TUGZQwAwUAAAAA+l1Hdyaunr4+rp5eG23dmdQ5AJShNx8/Lr729hPixENGpk4BAPZDNpePz18/Lx5a1pA6BQAAoGh96S3HxFfednzqDEqUgQIAAAAA/aY3m4sbZm+KXzy6Jra396TOAaDMVVZEXHjGxPjKW4+Lw0cPTZ0DAOyDr9++JG6csyl1BgAAQNH77oUnx8fPPyp1BiXIQAEAAACAfjFj7fb45t3LYm1je+oUAHiBwdWV8bk3TY7PvnFyDBlUlToHANhDP354dfz8kTWpMwAAAEpCZUXEZR85K95x6iGpUygxBgoAAAAA9KltLV3x3fuWx32Lt6ZOAYCXdcToofHNd50UF5w0IXUKAPAKrp21Mb5x59LUGQAAACWlproyrvnEOXH+5DGpUyghBgoAAAAA9InebC6unr4+fvHomujsyabOAYA99pYTxse33n1SHDlmWOoUAOBFPLBka3zhhvmRc7oBAACgz40YXB03f+b8OOnQkalTKBEGCgAAAADst+lrmuJbdy+L2qaO1CkAsE9qqivjs2+YFJ9/8zExZFBV6hwA4FmL63bFB389M7p6c6lTAAAAStYho4bE3Ze8LsaNGJw6hRJgoAAAAADAPtuya3d8997l8cDSbalTAKBPHHbQAfGNd50Uf3HywalTAKDsNbZ1xXt+8VRsa+1KnQIAAFDyzj7yoLjx0+dFTXVl6hSKnIECAAAAAHutJ5OLq6bXxmWPro3dvdnUOQDQ59543Lj4j/ecHEePHZY6BQDKUncmG3995axYsGlX6hQAAICy8VdnHxY/+qvTU2dQ5AwUAAAAANgrj69uim/fvSxqt3ekTgGAflVTXRmffv3Rccmbj40DaqpS5wBAWbl0yqK4dV5d6gwAAICy8413nRSffN3RqTMoYgYKAAAAAOyRup2d8d17l8dDyxpSpwDAgJp44AHx7+88Mf7y1ENSpwBAWbh6em18774VqTMAAADKUlVlRfz+E6+O1x87LnUKRcpAAQAAAICX1Z3JxpWP18Yvp62Nrt5c6hwASOb1x46Nb7/n5Jg0bnjqFAAoWY+vboq/+/3Tkc05ygAAAJDKqAMGxV1feG0cNXZY6hSKkIECAAAAAC/psZWN8e17lsWGHZ2pUwCgINRUVcYnX390fPEtx8TQmurUOQBQUmqb2uOiXz4VrV2Z1CkAAABl75jxw+OOz78mRgwZlDqFImOgAAAAAMD/smXX7vjmXcti6oqG1CkAUJAOHTUkvvnuk+LtpxySOgUASkJrV2+895dPxbqmjtQpAAAAPOstJ4yPqy9+VVRWVqROoYgYKAAAAADwAjfO2RT/ed+KaOv2xkoAeCXvPO2Q+O6Fp8ToYTWpUwCgaOVy+fi7a56OaauaUqcAAADwZz7zxknx9b88MXUGRcRAAQAAAICIeObWhH++bXFMX7M9dQoAFJUxw2riuxedEu841W0KALAv/vP+FXHlE7WpMwAAAHgJP/3QGXHRmRNTZ1AkDBQAAAAAcGsCAPQBtykAwN67fX5dfOWWRakzAAAAeBmDqytjymfPj9MOOzB1CkXAQAEAAACgjLk1AQD6ltsUAGDPLdy8Kz7065nRncmlTgEAAOAVHDxySNx9yWtj/MghqVMocAYKAAAAAGXqpjmb4vtuTQCAfuE2BQB4eQ2tXfGey56Mhtbu1CkAAADsoTMOPzBu/sx5Mbi6KnUKBcxAAQAAAKDMbNm1O/7l9iXxxOqm1CkAUNLGDq+J7154Svyl2xQA4AW6erPxoStnxaLNu1KnAAAAsJfed9bE+PEHz0idQQEzUAAAAAAoI25NAICB5zYFAHihL9+8MO5YUJ86AwAAgH30b+84MT79hkmpMyhQBgoAAAAAZcCtCQCQltsUAOAZv3p8XfzXAytTZwAAALAfqior4jd/86p40/HjU6dQgAwUAAAAAEqcWxMAoHC4TQGAcvbYysb45DVPR84pBQAAgKI3Ykh13PmF18bkccNTp1BgDBQAAAAASpRbEwCgMLlNAYBytLaxPd57+VPR1mU8DwAAUComjR0Wd17y2hg5ZFDqFAqIgQIAAABACXJrAgAUPrcpAFAuWnb3xkW/fCrWb+9InQIAAEAfe+Nx4+J3f/vqqKysSJ1CgTBQAAAAACgh29u749Ipi2LaKrcmAEAxGDu8Jn70gdPjzSeMT50CAP0im8vH3/5uTkxfsz11CgAAAP3k068/Ov7tnSelzqBAGCgAAAAAlIgZa7fHP968MBrbulOnAAB7oaIi4lOvOzq+9vYTYlBVZeocAOhT37lnefz2qfWpMwAAAOhn//1Xp8f7zz4sdQYFwEABAAAAoMhlc/n42dTVcdljayPnSQ8AFK3TDz8wLvvwmXH46KGpUwCgT9w2ry6+OmVR6gwAAAAGQE11ZUz5zPlx+uEHpk4hMQMFAAAAgCK2raUrvnTTgpizvjl1CgDQB0YOqY4fvP+0+MtTD0mdAgD7ZW1jW7z7F0/F7t5s6hQAAAAGyOGjD4j7vvT6GDlkUOoUEjJQAAAAAChSj61sjK9OWRTNHT2pUwCAPvax846Ib7zrpBhcXZU6BQD2WldvNi687KlY1dCWOgUAAIAB9o5TD47LP3p26gwSqkwdAAAAAMDe6c3m4vv3LY+/u+Zp4wQAKFHXzdoUF/1yRqxrak+dAgB77dv3LDdOAAAAKFP3L9kW183amDqDhNygAAAAAFBENjd3xiU3LohFm3elTgEABsCwmqr47kWnxPvOOix1CgDskXsWbYkv3rggdQYAAAAJDa6ujDu/8No48ZCRqVNIwEABAAAAoEjcv2Rr/PNti6OtK5M6BQAYYO8/67D47kUnx9Ca6tQpAPCSNu7oiHf9/Mlo6/ZzKwAAQLmbNG5Y3PvF13mmWYYMFAAAAAAKXHcmG9+9d3lcN2tT6hQAIKHJ44bFLz96VpxwsLeOAVB4ejK5+MCvZsTiupbUKQAAABSI9501MX78wTNSZzDAKlMHAAAAAPDS1jW1x0W/nGGcAADEuqaOuPCyp+L62RtTpwDA//JfD6w0TgAAAOAFbp9fH7fNq0udwQBzgwIAAABAgbp9fl18486l0dGTTZ0CABSYd552SPzX+06NEUMGpU4BgJi6vCE+9Ye5qTMAAAAoQENrquKeL74uJo8bnjqFAWKgAAAAAFBgOnsy8Y07l8Vt871NBAB4aUeMHhqXfeTMOO2wA1OnAFDGtuzaHe/4+fTY1dmbOgUAAIACdcLBI+LOL7w2hgyqSp3CAKhMHQAAAADA/1i5rTXe/YsnjRMAgFe0qbkzPnDFzLh6em3qFADKVCabiy/duMA4AQAAgJe1cltbfPfe5akzGCAGCgAAAAAF4r7FW+O9v5wR65o6UqcAAEWiJ5uL7923Ir5444Lo6s2mzgGgzPxk6uqYu3Fn6gwAAACKwPWzN8X9S7amzmAAVOTz+XzqCAAAAIByls/n48cPr45fPLo2dQoAUMROmTgyrrr4VXHIqANSpwBQBqavaYq/+e2cyDlxAAAAwB4aMaQ67v/S6+Pw0UNTp9CPDBQAAAAAEurozsSXb14Yf1zekDoFACgBY4cPjl9//Kw4+8jRqVMAKGFNbd3xlz+bHtvbu1OnAAAAUGROP2xU3Pq518SgqsrUKfQT/8sCAAAAJLK5uTPed/kM4wQAoM9sb++OD185O26Zuzl1CgAlKpfLxz/evMA4AQAAgH2yqK4lfvDAytQZ9CMDBQAAAIAEZq7bEe+57MlY1dCWOgUAKDE92Vx87dbF8e17lkU25yJtAPrW5dPWxlNrd6TOAAAAoIj95qn18ehKL3ErVRX5fN6TaQAAAIABdO3MDfHte5ZHxoFBAKCfvf7YsXHZh8+KUUMHpU4BoAQ8vaE5/vrKWQZwAAAA7LeDhg6KB/7hDXHwqCGpU+hjBgoAAAAAA6Q3m4v/uHtZXD97U+oUAKCMHDVmaFz9N6+KY8aPSJ0CQBHb2dET7/j59Nja0pU6BQAAgBJxzlGj48a/Py+qKitSp9CHKlMHAAAAAJSD5o6e+OjVs40TAIABt2FHZ7z3lzNcmQ7AfvmnWxcZJwAAANCn5mxojp9NXZ06gz5moAAAAADQz1ZsbY33XPZkzFnfnDoFAChTbd2Z+NQ1c+OKaetSpwBQhK6eXhtTVzSmzgAAAKAEXfbY2pixdnvqDPpQRT6fz6eOAAAAAChVDy7dGl+5ZVF09mRTpwAARETERWccGv/1/tNiyKCq1CkAFIHFdbviA1fMjJ5sLnUKAAAAJWrciMHxwD+8PsYOH5w6hT7gBgUAAACAfpDP5+OnU1fH566fb5wAABSUOxduiQ/9emZsa+lKnQJAgWvr6o1LblhgnAAAAEC/amrrji/fvDC8d780GCgAAAAA9LHOnkx8/vr58dOpa8IzNACgEC2qa4n3XPZkLNi0M3UKAAXsX25fEpuaO1NnAAAAUAamr9keVzy+LnUGfcBAAQAAAKAP1e3sjPdfMTMeWLotdQoAwMtqbOuOD105K26bV5c6BYACdPv8urhv8dbUGQAAAJSRH/9xdSytb0mdwX4yUAAAAADoIws27YwLL3sqVmxtTZ0CALBHejK5+OqURfGDB1emTgGggDS2dsW371meOgMAAIAyk8nl49Ipi6I3m0udwn4wUAAAAADoA9NWNcZHr54dOzp6UqcAAOy1K6ati6/esigyPvgDICK+fvuSaNndmzoDAACAMrRyW1v84pE1qTPYDwYKAAAAAPvp9vl18alr5kZnTzZ1CgDAPrttfl18+g9zY7e/0wCUtdvm1cUjKxtTZwAAAFDGLp+2LpbWt6TOYB8ZKAAAAADsh18/vi6+OmVRZHL51CkAAPvtsVVN8ZGrZ8VOt0IBlKXG1q74zr3LU2cAAABQ5jK5fFw6ZVH0uvG1KBkoAAAAAOyDfD4f37t3efzfB1ZG3jYBACghCzbtig/8akbU79qdOgWAAfb125dEy+7e1BkAAAAQK7e1xS8eWZM6g31goAAAAACwl3qzufjyzQvj6ifXp04BAOgX65o64v2Xz4hV29pSpwAwQG6bVxePrGxMnQEAAADPuXzaulha35I6g71koAAAAACwFzp7MvHJa+bGnQu3pE4BAOhX21q74q9+NSOe3tCcOgWAftbY2hXfuXd56gwAAAB4gUwuH5dOWRS92VzqFPaCgQIAAADAHmru6IkPXzU7nljdlDoFAGBAtHZl4uO/mR0PL29InQJAP/r67UuiZXdv6gwAAAD4X1Zua4tfPLImdQZ7wUABAAAAYA9sbu6MD1wxIxZt3pU6BQBgQHX15uKz182Lm+ZsSp0CQD+4bV5dPLKyMXUGAAAAvKTLp62LpfUtqTPYQwYKAAAAAK9gxdbWeP8VM6J2e0fqFACAJLK5fPzL7Uu8qQygxDS0dsW371mWOgMAAABeViaXj0unLIrebC51CnvAQAEAAADgZcyq3REf/PXMaGzrTp0CAJDcfz+8Or5519LI5fKpUwDoA/96+5Jo7cqkzgAAAIBXtHJbmxeoFAkDBQAAAICX8ODSrXHxb+dEm8MaAADP+cPMjfHFGxdET8bbygCK2W3z6uKRlY2pMwAAAGCPXT5tXSytb0mdwSswUAAAAAB4EdfP3hifv36+g3cAAC/iviVb429/NyfaunpTpwCwDxpau+Lb9yxLnQEAAAB7JZPLx6VTFkVv1me4hcxAAQAAAODP/OTh1fFvdyyNXD51CQBA4Zqxbkf89ZWzoqmtO3UKAHvpX29fEq1uCwQAAKAIrdzWFr94ZE3qDF6GgQIAAADAs/L5fPz7nUviZx5oAQDskWVbWuP9V8yITTs6U6cAsIdum1cXj6xsTJ0BAAAA++zyaetiaX1L6gxegoECAAAAQETkcvn42q2L47pZm1KnAAAUlU3NnfGhK2fGhu0dqVMAeAUNrV3x7XuWpc4AAACA/ZLJ5ePSKYuiJ5NLncKLMFAAAAAAyl7u2QdYU+bVpU4BAChKW1u64kNXzozapvbUKQC8jH+9fUm0dmVSZwAAAMB+W7mtLX7x6JrUGbwIAwUAAACgrGVz+fjHmxfG7QvqU6cAABS1htbu+NCVs2JtY1vqFABexG3z6uKRlY2pMwAAAKDPXDFtXSytb0mdwZ8xUAAAAADKViabiy/dtCDuXrQldQoAQEloauuOv75yVqxuMFIAKCQNrV3x7XuWpc4AAACAPpXJ5ePSKYuiJ5NLncLzGCgAAAAAZak3m4tLblgQ9y3emjoFAKCkbG/viQ9fOStWbG1NnQLAs/719iXR2pVJnQEAAAB9buW2tvjFo2tSZ/A8BgoAAABA2enJ5OLz18+PB5dtS50CAFCSdnT0xEeumhXLtrheHSC12+bVxSMrG1NnAAAAQL+5Ytq6WFrvWWShMFAAAAAAykp3Jhufu25ePLy8IXUKAEBJ29nZGx+5anYsqfPBIEAqDa1d8e17lqXOAAAAgH6VyeXj0imLoieTS51CGCgAAAAAZaQnk4vPXTffmyMBAAZIy+7e+OjVs7y9DCCRb961NFq7MqkzAAAAoN+t3NYWV0xblzqDMFAAAAAAykRvNhefv35+PGqcAAAwoFq7MvGx38yOZVuMFAAG0rRVjfHQMrcHAgAAUD6ueHxtbG7uTJ1R9gwUAAAAgJKXyebikhvmx9QVDmYAAKSwq7M3Pnb17FixtTV1CkBZ6Mnk4tv3LE+dAQAAAAOqqzcX37nXz8OpGSgAAAAAJS2TzcWXblrgrZEAAIntfHaksLqhLXUKQMm7anptrN/ekToDAAAABtzDyxvisVWNqTPKmoECAAAAULKyuXx8+ZZFcf+SbalTAACIiB0dPfGRq2bF2kYjBYD+Ur9rd1z26NrUGQAAAJDMt+9eFt2ZbOqMsmWgAAAAAJSkXC4fX71lYdyzaEvqFAAAnmd7e098+KrZUdvUnjoFoCR9797lsbvXIQwAAADK14YdnXHVE7WpM8qWgQIAAABQcnK5fPzTrYvjzoXGCQAAhaiprTs+fNWs2LC9I3UKQEmZvqYpHljqFkEAAAD45WProm5nZ+qMsmSgAAAAAJSUfD4fX799Sdw2vy51CgAAL6Oh9ZmRwuZmHxIC9IWeTC6+dfey1BkAAABQEHb3ZuO79y5PnVGWDBQAAACAkvJfD6yMm+duTp0BAMAe2NrSFR//zezY3t6dOgWg6F39ZG3UNrmZBgAAAP7koWUN8fjqptQZZcdAAQAAACgZV0+vjV8/UZs6AwCAvbBhR2d84ndPR0d3JnUKQNHasmt3XPbo2tQZAAAAUHD+4+5l0ZPJpc4oKwYKAAAAQEm4c0F9fP/+FakzAADYB0vqW+Iz187zQSHAPvr+fSuisyebOgMAAAAKzvrtHXHVdC+5G0gGCgAAAEDRe3x1U/zTrYsin09dAgDAvnpy7fb46pRFkfeXOoC98tTa7XHfkq2pMwAAAKBgXfbo2tiya3fqjLJhoAAAAAAUtUWbd8XnrpsXvVkH2QAAit09i7bEd+5dnjoDoGj0ZnPxzbuWps4AAACAgra7Nxvf9dxxwBgoAAAAAEWrtqk9/u73T0dnTzZ1CgAAfeR3T22Iy6etTZ0BUBR+++T6WNfUkToDAAAACt4DS7fF9DVNqTPKgoECAAAAUJQaW7vi4t/OiR0dPalTAADoYz98cFVMmbs5dQZAQdvW0hU/f2RN6gwAAAAoGt+6e1n0ZHKpM0qegQIAAABQdFq7euPi386Jup27U6cAANBPvn77knh0ZUPqDICC9f37V0SHGwUBAABgj9U2dcRvnlyfOqPkGSgAAAAARaU7k41PXzM3Vm5rS50CAEA/yuTy8YXrF8S8jTtTpwAUnBnrtsc9i7akzgAAAICi84tH18TWFi/C608GCgAAAEDRyOXy8Q83LozZ65tTpwAAMAB292bjk9c8HWsbjVMB/qQ3m4tv3bUsdQYAAAAUpc6ebHzvvhWpM0qagQIAAABQNP79rqXx4LJtqTMAABhAuzp74+LfzPFWM4Bn/f6pDbGmsT11BgAAABSt+xZvjafWbk+dUbIMFAAAAICi8NOpq+OG2ZtSZwAAkMCWlq64+DdzoqWzN3UKQFKNrV3xs0fWpM4AAACAovfNu5ZGbzaXOqMkGSgAAAAABe/62Rvjp1MdwAAAKGdrGtvjk9c8HV292dQpAMl8//4V0d6dSZ0BAAAARW9dU0f89sn1qTNKkoECAAAAUNAeXLo1vnHn0tQZAAAUgLkbd8YlN8yPbC6fOgVgwM2q3RF3LdySOgMAAABKxs8fWRPbWrpSZ5QcAwUAAACgYM2q3RFfumlhOH8GAMCfTF3RGF+/fXHqDIABlcnm4lt3LUudAQAAACWloycb379/ReqMkmOgAAAAABSk1Q1t8ek/zI2eTC51CgAABeaWuXXx4z+uSp0BMGB+P2NDrGpoS50BAAAAJeeeRVtixrrtqTNKioECAAAAUHB2dfbEp66ZG21dmdQpAAAUqJ8/ujbuXrQldQZAv9vV2RM/e2RN6gwAAAAoWd+5Z3nk8/nUGSXDQAEAAAAoKJlsLj5//fzY1NyZOgUAgAL3tVsXxdL6ltQZAP3q8mnrDPgBAACgH63c1hZ3LfQylL5ioAAAAAAUlO/euzxmrNuROgMAgCLQ1ZuLT/9hbjS1dadOAegXW3btjmtmbEidAQAAACXvvx9eFT2ZXOqMkmCgAAAAABSMG+dsimtmbkydAQBAEdna0hWfvW6eDw+BkvTTqauj2/+/AQAAQL/b3Lw7bpjts+q+YKAAAAAAFIQ565vjm3ctTZ0BAEARmrdxZ/zbHUtSZwD0qbWNbXHb/PrUGQAAAFA2LntsbXR0Z1JnFD0DBQAAACC5+l2743PXzYvebD51CgAARWrKvLr4zZPrU2cA9JkfPbQqsjk/JwMAAMBA2d7eE1dP94xxfxkoAAAAAEl19mTiU9fMjR0dPalTAAAocv95/4qYvqYpdQbAfluwaWc8tKwhdQYAAACUnaum10azz673i4ECAAAAkEw+n49LpyyKFVtbU6cAAFACsrl8XHLDgtiwvSN1CsB++cGDK1MnAAAAQFlq787EZY+uTZ1R1AwUAAAAgGR+/sjauH/JttQZAACUkJbdvfGpP8yNtq7e1CkA+2TaqsaYVducOgMAAADK1nWzN0bdzs7UGUXLQAEAAABI4sGl2+Knj6xOnQEAQAla29ge/3DTwsjl8qlTAPZKPp+PHz64KnUGAAAAlLWeTC5+8vCa1BlFy0ABAAAAGHArtrbGV25ZGHnnxQAA6CePrmyMHzy0MnUGwF65e9GWWL61NXUGAAAAlL07FtTFqm1tqTOKkoECAAAAMKCaO3ri03+YG5092dQpAACUuF8/Xht3LqhPnQGwR3qzufjxw24aBAAAgEKQy0f8yAtQ9omBAgAAADBgerO5+Nx186Ju5+7UKQAAlIl/vm1xLK7blToD4BXdOGdTbNzRmToDAAAAeNbUFY0xd0Nz6oyiY6AAAAAADJj/uHtZzF7vAQ4AAAOnO5OLv//DvGhs7UqdAvCSOnsy8fNH1qbOAAAAAP7MDx50i8LeMlAAAAAABsS1szbG9bM3pc4AAKAMbWvtir+/dl50Z7KpUwBe1G+mr4/t7d2pMwAAAIA/8/SGnfHoyobUGUXFQAEAAADod7Nqd8R37lmWOgMAgDK2cPOu+PrtS1JnAPwvOzt64sonalNnAAAAAC/hhw+uilwunzqjaBgoAAAAAP2qqa07LrlhQfRmPbABACCt2+fXx/WzN6bOAHiBXz62Ntq6M6kzAAAAgJewcltb3LmwPnVG0TBQAAAAAPpNLpePL9+8MLa3d6dOAQCAiIj4zj3LY+W21tQZABERUb9rd/xhluEUAAAAFLofP7w6ejK51BlFwUABAAAA6DeXT1sbT67dnjoDAACe053JxSU3LIjOHm8rB9L7icMNAAAAUBTqdu52O+seMlAAAAAA+sXTG5rjJ1PXpM4AAID/ZW1je3zzrmWpM4Ayt6ahLe5YUJ86AwAAANhDv3xsbXR0e/HJKzFQAAAAAPrczo6e+NKNCyKby6dOAQCAF3XrvLq4fX5d6gygjP3woVV+bgYAAIAisr29J66aXps6o+AZKAAAAAB97p9uXRRbW7pSZwAAwMv6xp1Lo7apPXUGUIbmbdwZDy9vSJ0BAAAA7KWrp6+PHe3dqTMKmoECAAAA0Keunl4bU1c0ps4AAIBX1NGTjS/csCC6erOpU4Ay84MHV6ZOAAAAAPZBe3cmLntsbeqMgmagAAAAAPSZxXW74ocPrkqdAQAAe2zF1tb4/n0rUmcAZeSxlY0xZ31z6gwAAABgH10/a1PU7exMnVGwDBQAAACAPtHW1RuX3LAgerK51CkAALBXrp21MR5YsjV1BlAG8vl8/Oghw34AAAAoZj3ZXPzk4TWpMwqWgQIAAADQJ/7l9iWxqdlbIgAAKE5fu21xbPb3WaCfPbKiMZZvbU2dAQAAAOynuxbWe574EgwUAAAAgP12/eyNcd9ib5wFAKB4tXVl4os3LoheN4IB/ejyaWtTJwAAAAB9IJPLx5VP1KbOKEgGCgAAAMB+WbmtNb5zz/LUGQAAsN8Wbt4VP3poVeoMoETNqt0R8zftSp0BAAAA9JFb5m6Oprbu1BkFx0ABAAAA2GedPZm45IYF0Z3xllkAAErDVdNr47GVjakzgBJ0xbR1qRMAAACAPtSdycVvn1qfOqPgGCgAAAAA++ybdy2LtY3tqTMAAKDP5PMRX52yKLa1dKVOAUrI0vqWeHx1U+oMAAAAoI9dN3NjtHb1ps4oKAYKAAAAwD65fX5d3DqvLnUGAAD0ueaOnvjSTQsim8unTgFKxBWPuz0BAAAASlFbdyaunbkxdUZBMVAAAAAA9lptU3t8486lqTMAAKDfzFnfHD97ZE3qDKAErN/eEQ8s2Zo6AwAAAOgnv3tqfXT1ZlNnFAwDBQAAAGCvdGey8YUbFkRHjwcsAACUtsseXRMz1m5PnQEUuV8/vi5cyAIAAACla3t7T9wyd3PqjIJhoAAAAADslR//cXWs2NqaOgMAAPpdLh9x6ZRF0dbVmzoFKFLbWrri9vn1qTMAAACAfvbrx2sjk82lzigIBgoAAADAHluwaWdc/eT61BkAADBgtrR0xffvW5E6AyhSV0+vjR6HEwAAAKDk1e/aHXcv2pI6oyAYKAAAAAB7pKs3G5dOWRTZXD51CgAADKibnt4cj69uSp0BFJldnT1x45xNqTMAAACAAXLFtHWRz/s83UABAAAA2CM/eXh1rGvqSJ0BAABJfP22xdHW1Zs6Aygiv5+xITp6sqkzAAAAgAGyprE9Hl7ekDojOQMFAAAA4BUt2LQzrn5yfeoMAABIZktLV3z/vhWpM4Ai0dmTid/P2JA6AwAAABhgl09blzohOQMFAAAA4GV19Wbj0imLIptzFSUAAOXtpqc3x+Orm1JnAEXghtmbYlenW1cAAACg3CzcvCtmrNueOiMpAwUAAADgZf3k4dWxrqkjdQYAABSEr9+2ONq6HDoGXlpPJhdXT3cLIQAAAJSrK8r8FgUDBQAAAOAlzd+0M66aXps6AwAACsaWlq743r0rUmcABeyOBXWxrbUrdQYAAACQyPQ122NJXUvqjGQMFAAAAIAX1dWbjX+asihy+dQlAABQWG6euzkeX92UOgMoQLlcPn79uKE/AAAAlLvLp61NnZCMgQIAAADwon7y8OpY19SROgMAAArS129bHG1dvakzgALzwNJtUbvdz9IAAABQ7h5ati3WNbWnzkjCQAEAAAD4X+Zv2hlXTffGRwAAeClbWrrie/euSJ0BFJhyfjsiAAAA8D9y+YhfTVuXOiMJAwUAAADgBbp6s/FPUxZFLp+6BAAACtvNczfH46ubUmcABeLx1U2xbEtr6gwAAACgQNy5sD627NqdOmPAGSgAAAAAL/CTh1fHuqaO1BkAAFAUvn7b4mjr6k2dARSAyx9zewIAAADwP3qz+bhqem3qjAFnoAAAAAA8Z/6mnWX5gAQAAPbVlpau+N69K1JnAInN27gzZq9vTp0BAAAAFJib5myO5o6e1BkDykABAAAAiIiIrt5s/NOURZHLpy4BAIDicvPczfH46qbUGUBCV0xzewIAAADwv+3uzcbvn1qfOmNAGSgAAAAAERHxk4dXx7qmjtQZAABQlL5+2+Jo6+pNnQEksGpbWzyysjF1BgAAAFCgrpm5Mdq7M6kzBoyBAgAAABDzN+2Mq6bXps4AAICitaWlK75374rUGUACv3p8XeTdRggAAAC8hJbdvXHj7E2pMwaMgQIAAACUuZ5MLr526+LIOUwBAAD75ea5m+PJNdtTZwADqKmtO+5bvDV1BgAAAFDg/jBrQ+TK5EN5AwUAAAAoc795cn2sbWxPnQEAACXhm3cvjZ5MLnUGMEBufnpT9GT9mQcAAABe3ubm3TFtdWPqjAFhoAAAAABlbGvL7vjFo2tSZwAAQMmobeqI3zy5PnUGMACyuXzcOGdz6gwAAACgSFw7c2PqhAFhoAAAAABl7Hv3rYjOnmzqDAAAKCm/eHRNbG3ZnToD6GePrGiI+l3+rAMAAAB75vHVTbG5uTN1Rr8zUAAAAIAy9dTa7XHf4q2pMwAAoOR09mTje/euSJ0B9LNrZ5XHWw8BAACAvpHLR1w3u/SfJxgoAAAAQBnqzebiW3cvS50BAAAl674lW+OptdtTZwD9ZMP2jnjSn3EAAABgL02ZWxfdmWzqjH5loAAAAABl6LdPro+1je2pMwAAoKR9866l0ZvNpc4A+sF1szZGPp+6AgAAACg2zR09cd/irakz+pWBAgAAAJSZbS1d8fNH1qTOAACAkreuqSN+++T61BlAH+vqzcaUeXWpMwAAAIAide2sjakT+pWBAgAAAJSZ79+/Ijp6SvvKSAAAKBQ/f2RNbGvpSp0B9KG7F26Jlt29qTMAAACAIrVg065YWt+SOqPfGCgAAABAGZm5bkfcs2hL6gwAACgbHT3Z+P79K1JnAH2o1N9yCAAAAPS/60r4+YKBAgAAAJSJTDYX37p7aeoMAAAoO/cs2hIz1m1PnQH0gYWbd8WSEn7DIQAAADAw7lq4JVq7SvOGRgMFAAAAKBO/n7EhVje0p84AAICy9K27lkVvNpc6A9hP184s3bcbAgAAAANnd282bp1blzqjXxgoAAAAQBlobO2Kn05dkzoDAADK1prG9vj9UxtSZwD7YVdnT9y7eEvqDAAAAKBEXDe7NF+EYKAAAAAAZeA/718R7d2Z1BkAAFDWfvbImmhs7UqdAeyjW+Zuju6Mm1AAAACAvlHb1BFPrd2eOqPPGSgAAABAiZtduyPuXOgNjwAAkFp7dya+f/+K1BnAPsjn83H97E2pMwAAAIASc+3M0rtFwUABAAAASlgmm4tv3b0sdQYAAPCsuxZuiVm1O1JnAHvp8dVNsXFHZ+oMAAAAoMRMXdEQ21pK69ZVAwUAAAAoYdfM3Bgrt7WlzgAAAJ7nW3cti0w2lzoD2AvXzSq9txkCAAAA6WVy+bhhTmnd2migAAAAACWqsa0rfvrw6tQZAADAn1nV0Ba/n7EhdQawh+p2dsajKxtTZwAAAAAl6qY5m0rqhSYGCgAAAFCifvjgqmjrzqTOAAAAXsTPpq6J7e3dqTOAPXDD7E2Ry6euAAAAAEpVY1t3PLSsIXVGnzFQAAAAgBK0altb3D6/LnUGAADwEtq6M3HZo2tTZwCvoCeTi1vmbk6dAQAAAJS4a2dtSJ3QZwwUAAAAoAT96KGV3u4IAAAF7obZm2Jzc2fqDOBlPLB0a2xv70mdAQAAAJS4WbXNsbaxLXVGnzBQAAAAgBLz9IbmmLqiMXUGAADwCnqyufjxw6tTZwAv49qZG1MnAAAAAGWiVJ5DGCgAAABAifnBAytTJwAAAHvoroX1sWJra+oM4EWs2NoaczfuTJ0BAAAAlInb59dHR3cmdcZ+M1AAAACAEjJ1eYPDEwAAUERy+YgfPbQqdQbwIq6dVRpvLQQAAACKQ1t3Ju5YUJ86Y78ZKAAAAECJyOXyDjYBAEARenRlY8xZ35w6A3ietq7euKsEDgQAAAAAxeW6EnhhgoECAAAAlIg7FtTHqoa21BkAAMA++MGDK1MnAM9z58It0dGTTZ0BAAAAlJmV29pi/qadqTP2i4ECAAAAlICeTC5+/PDq1BkAAMA+mrdxZzy8vCF1BvCsO+bXpU4AAAAAytQd84v7VkcDBQAAACgB183aGPW7dqfOAAAA9sOPHloZuVw+dQaUvU07OmP+pl2pMwAAAIAydd+SrZHJ5lJn7DMDBQAAAChy7d2Z+OVja1NnAAAA+2l1Q3vcvqC4344GpeDOhf4cAgAAAOk0d/TE46ubUmfsMwMFAAAAKHJXPlEbOzp6UmcAAAB94CcPr47uTDZ1BpQ1AwUAAAAgtTuK+EUmBgoAAABQxLa3d8dvptemzgAAAPpI/a7dce3MjakzoGwtrtsVtU0dqTMAAACAMjd1RUO0d2dSZ+wTAwUAAAAoYpc9ujY6erxdFQAASsnl09ZFW1dv6gwoS8X8dkIAAACgdHT15uLBpdtSZ+wTAwUAAAAoUpubO+OG2ZtSZwAAAH2suaMnrnrCTWkw0LK5fNyzaGvqDAAAAICIiLizSF+kYKAAAAAARerHD6+OnmwudQYAANAPrn5yfWxv706dAWXlybXb/bkDAAAACsaMddujsbUrdcZeM1AAAACAIrRia2vctbA435YAAAC8ss6ebPzikTWpM6CsFOtbCQEAAIDSlMtH3L1oS+qMvWagAAAAAEXohw+ujFw+dQUAANCfbpizKTbt6EydAWWhsycTDy3bljoDAAAA4AXuKMIXKhgoAAAAQJGZXbsjHlvVlDoDAADoZ73ZfPz3w6tSZ0BZeHh5Q3T2ZFNnAAAAALzAsi2tsbaxLXXGXjFQAAAAgCLz06lrUicAAAAD5J5FW2JdU3vqDCh5xfg2QgAAAKA8FNtzCwMFAAAAKCILNu2MmbU7UmcAAAADJJeP+NW0dakzoKRtb++OJ9dsT50BAAAA8KLuWrgl8vl86ow9ZqAAAAAAReRyB5MAAKDs3LmwPrbs2p06A0rWvYu2RCZXPB/yAwAAAOWlbufumLtxZ+qMPWagAAAAAEVidUNbTF3RkDoDAAAYYL3ZfFw1vTZ1BpSsOxZuSZ0AAAAA8LLuWFCfOmGPGSgAAABAkfjVtHVRRLc2AgAAfeimOZujuaMndQaUnPXbO2LR5l2pMwAAAABe1v1LtkZPJpc6Y48YKAAAAEAR2NzcGXcv8kZHAAAoV7t7s/H7p9anzoCSc2cRvX0QAAAAKF+7Ontj2qrG1Bl7xEABAAAAisBV02sjk3N9AgAAlLNrZm6M9u5M6gwoKXctNFAAAAAAisOdRfIcw0ABAAAACtz29u64Ze7m1BkAAEBiLbt744bZG1NnQMmYv2lnbNjRmToDAAAAYI88sqIxWrt6U2e8IgMFAAAAKHC/fXJ9dPXmUmcAAAAF4Orp66M7k02dASXhzgXF8dZBAACA/8/efYfZfZZ3wr/PdE3TSBqNrC6NZFuSLVlywXLDgAsdm5pQnJckdJLdTSPJ7r55N5tsdkNyJWw2ZUMaxISygWAghGIZgw223CuSq3qxRtKojGakqef9w8aLwWXOzDnn+Z1zPp/r8uUsa898r4vDsX/P7/neN0BExPDYRHzjof2pY7wkBQUAAADIsIFTo3H9ZhNSAQCAp/UNDMe/3OtSNUzX2PhEfP3B7L/QBwAAAPhxN9y3L3WEl6SgAAAAABn2mc27YuDUWOoYAABAhvz1956M8Yl86hhQ0W55/GAcHhxJHQMAAACgIHdsPxz7j51MHeNFKSgAAABARp0aHY+/+/721DEAAICM2XF4KP6tAla5Q5Z9uQKmDQIAAAD8pIl8xFfuz/a5hoICAAAAZNQ/37MnDp0YTh0DAADIoL/67pOpI0DFGhwei01bDqSOAQAAADAlN9y3N3WEF9WQOgAwfYPDY3Hg+Kk4ODAcx0+NxeDwWAyOPP3nE8PjMTg8FkMjT//fJ0fGYmwiHxP5iHw+HxP5p1dA1+Vykcvloi4X0VCXixlNDdHeXB+tTQ3R1vz0/93W3BBtz/y/O1saYm5Hc8zrbIm2Zl8lAABQbOMT+fjkLS4cAQAAz2/L/uNx86N98coze1JHgYrzzYefipOj46ljAAAAAEzJI08NxCNPHY9Vp3WmjvK83CqGjDs5Mh7bDp2IHYeGYu/Roeg7PhwHBoaj7/ip6Hvmz4MjaQ9Q25rqo6ezJXo6mqOnsyXmdTRHT2dzLOxqjWXdrdHb3R4zmuqTZgQAgErztQf2xe7+k6ljAAAAGfZXNz+poABT8NUH9qWOAAAAADAtX71/X6x6jYIC8AImJvKxq38oth06EdsODsb2Q4PP/vnAwKl4ZslBZg2OjMf2Q0/nfT65XMS8jpbondsWy7uf/qN3blv0drfHktmtUVeXK3NiAADItnw+H3/1XdsTAACAF3fnjv64e0d/nL9sduooUDFODI/F7U8eTh0DAAAAYFq+veVAfOw1q1LHeF4KClBmExP5ePLgiXho77F4cM+xeHjvsdiy/3gMJd6CUEr5fMRTx0/FU8dPxW0/ceDb2lQfa+Z3xtpFM2Ptwqf/WDG3XWkBAICadtPWvnj0wEDqGAAAQAX4y+8+GX//XgUFmKzvPXowRsYnUscAAAAAmJYn+k7EjkODsay7LXWUn6KgACW29+jJuHP74Xhgd22UEQo1NDIed+88EnfvPPLsf/aj0sLZC2fGOYtnxsuWz4mFXTMSpgQAgPL6y+8+kToCAABQIb7zSF9s3X88Vs/P5jp3yJpNWw+kjgAAAABQFJu2Hoj3XdabOsZPUVCAItt39GTc/uTh2LztcGzefjh2959MHaniPF9pYfHsGbFx+Zy4aMXTf8yfqbAAAEB12rztcNy762jqGAAAQAX5q+8+GX/2zg2pY0DmjU/k4+ZH+1LHAAAAACgKBQWoUgcHhuP7TxyMzU/2x+3bDseu/qHUkarS7v6Tsbt/T/zzPXsiImLJ7Na4qHdObFwxOy5dOTfmdjQnTggAAMXxd9/fnjoCAABQYf7tof3xH1+3Ok6b2ZI6CmTa3Tv64+jQaOoYAAAAAEVx944jcWxoNGa2NqaO8hwKCjAFjzx1PDZtORA3bu2LB/ccjXw+daLas6t/KHb1D8UX7t4duVzEOYu64srVPXHlmnmx6jRrrAEAqEz7jp6M7zxikiMAAFCYsYl8fPbOXfGrV52ROgpk2qatB1JHAAAAACiasWe2RV67YWHqKM+hoACTMDo+EXds649NWw/Epq0HYs+Rk6kj8WPy+Yj7dx+N+3cfjT/+9mOxePaMuGLVvLhqzbx42fLZ0VhflzoiAABMymfv2BXjExrQAABA4T5/5674d69aGQ3OxOEFbdpqKAAAAABQXW7cekBBASrF6PhE3PLYwfjK/fvi5kf7YuDUWOpITNLu/pPxqdt2xKdu2xEdLQ3xyjN74pr1C+LlZ8xVVgAAILNGxyfi83ftTh0DAACoUH0Dw/GtHx6I16+bnzoKZNITfSdi+6HB1DEAAAAAiuqWRw/G6PhEpu7HKijAT7hn55G44b698fWH9kf/4EjqOEzTwKmx+OoD++KrD+yL2W1N8fq18+PaDQvjvKWzUkcDAIDn+MbDT8WhE8OpYwAAABXs+s07FBTgBWzaeiB1BAAAAICiGxgei83bDsdlp89NHeVZCgoQEdsOnogb7tsbX3lgX+w8PJQ6DiXSPzgS12/eGddv3hlL57TGNecsiGs3LIzeue2powEAQFx/+47UEQAAgAq3eVt/PH5gIE6f15E6CmTOTQoKAAAAQJW6aWtfpgoKuXw+n08dAlI4OTIeN9y/Nz5/5654YM+x1HFI6JzFXfHOCxbHNesXxoym+tRxAACoQY88dTxe84lbU8cAAACqwM9dtDT+6zVnp44BmdI/OBIX/LdNMT7h1TgAAABQfRbNmhHf/81XpY7xLBsUqDnbDp6I6zfvjC/dsyeOnxpLHYcMeGD30Xhg99H4g3/bGm89b1Fct3GprQoAAJTV9bfvTB0BAACoEl++d2/85mtWRVuz14DwI995pE85AQAAAKhae46cjK37j8fq+Z2po0SEggI1YnwiHzdueSqu37wzbnvycNgbwvM5fmos/uEHO+JTt+2Ii1fMies2Lo2r1pwW9XW51NEAAKhiJ4bH4ob79qaOAQAAVImB4bH48n174z0bl6aOApmxacuB1BEAAAAASmrTlgMKClAO/YMj8ZnNO+Nzd+6K/cdOpY5DhcjnI37wxOH4wROHY/7Mlnjny5bEezYujdltTamjAQBQhf7l3j0xODKeOgYAAFBFPrN5p4ICPGN4bDxuffxg6hgAAAAAJbVp64H45StOTx0jIhQUqFL7jp6MT96yLb5w1+44OeqiD1O3/9ip+JMbH4u/+u6T8TMXLI4PvLw3FnTNSB0LAIAq8pnNO1NHAAAAqswjTw3EXTv644Jls1NHgeRue/KwwQAAAABA1Xtw77HoO34qejpbUkdRUKC6PNF3Iv73956Mr9y/N0bH86njUEVOjo7Hp27bEf90x864Zv3C+NDlK2JlT3vqWAAAVLjN2w7HYwdOpI4BAABUoetv36mgABFx09YDqSMAAAAAlFw+H3HTI33xzpctSR1FQYHq8OCeo/GXNz8Z397yVEzoJVBCo+P5+OI9e+Jf7t0TV685LT7yyhWxblFX6lgAAFSo621PAAAASuSbDz8Vh04MR3d7c+ookNRNW/tSRwAAAAAoi01bDigowHTdu+tI/Mm3H4vvP3EodRRqzEQ+4ps/fCq++cOn4tKV3fGrV58R5y6ZlToWAAAVpG/gVHz7h0+ljgEAAFSpkfGJ+MJdu+Ojr1yZOgok8/DeY7H/2KnUMQAAAADK4gdPHoqTI+Mxo6k+aY66pL8dpuiJvoH4wD/eHW/5y9uUE0ju+08cirf85W3xgX+8O57oG0gdBwCACvH5O3fH6LgVcAAAQOl89o5dMWH1NDXsxi0HUkcAAAAAKJtToxNx6+MHU8dQUKCy7Dt6Mn7jnx+IV3/i1vi2A0Uy5ttbDsSrP3Fr/MY/PxD7jp5MHQcAgAwbn8jH5+7clToGAABQ5fYePRk3PdKXOgYks2mr94kAAABAbcnCeUhD6gAwGUcGR+Ivbn4irt+8M4bHJlLHgRc0PpGPf75nT3z1gX3xcxctjY++cmV0tTaljgUAQMbcuOVA7D92KnUMAACgBly/eWdctWZe6hhQdvuPnYwf7jueOgYAAABAWX3nkb6YmMhHXV0uWQYbFMi04bHx+Iubn4iX/9HN8bff366cQMUYHpuIv7l1e1z28ZvjL25+IobHxlNHAgAgQz6zeWfqCAAAQI249fGDsfPwYOoYUHabttoeAgAAANSeQydG4v49R5NmUFAgs25+pC9e/ae3xB9969EYODWWOg5MycCpsfijbz0ar/7TW+Jma7QBAIiIbQdPxA+ePJQ6BgAAUCPyeSVpatOmLQdSRwAAAABIIvW5iIICmbO7fyje9+m74+c/dVfsODyUOg4UxY7DQ/Hzn7or3vfpu2N3v881AEAt+/xduyOfT50CAACoJV+8Z0+M2FJNDRkcHovbtx1OHQMAAAAgiU1bFRQgIiJOjY7HJzY9Flf+yfeS/w8DSmXT1gNx1Z9+L/7npsfj1Oh46jgAAJTZxEQ+vnL/3tQxAACAGnNkaDS++6gtv9SOWx47qJQDAAAA1KzHDpyIXQmHxCsokAmbthyIq//0lvjEpsdj2GEhVe7U6ET86abH4uo/vSVuUsYBAKgptz15OA4cH04dAwAAqEE3KEtTQ270/gUAAACocSnPRxQUSOrQieH48Gfuiff9492xqz9dUwdS2NU/FL/46bvjw5+5Jw6dcEkNAKAWuBAEAACkctPWvhg4NZo6BpTFrY8fSh0BAAAAIKlbHjuY7HcrKJDM1x7YF1f/6S3xjYefSh0FkvrGw0/F1X96S3ztgX2powAAUEKnRsfjW55/AACARIbHJuIbD3kmofo90TcQBwcMhgIAAABq2907+mNsfCLJ71ZQoOx+tDXhlz93X/QPjqSOA5nQPzgSv/y5+2xTAACoYjduORADw2OpYwAAADXsy/fZ6kb1u31bf+oIAAAAAMkNjozHg3uPJfndCgqUla0J8OJsUwAAqF43uAgEAAAkdsf2w7H/2MnUMaCkNm87nDoCAAAAQCakOidRUKAsbE2AybNNAQCg+hwZHIlbHj+YOgYAAFDjJvIRX73fgByq2x0KCgAAAAAREXH7kwoKVKlbHz8Yr/nErbYmQIG+8fBT8ZpP3Brff/xQ6igAAEzTvz64L0bH86ljAAAAxJdtd6OKPX5gIA6dMCwNAAAAICLinp1HYmx8ouy/V0GBkhkbn4iPf/OR+Lm/v9MUeJiiQyeG4+f+/o74o289EuMTLrQBAFQqF4AAAICseOSpgXjkqeOpY0BJbLY9AQAAAOBZQyPj8cCeY2X/vQoKlMS+oyfjZz+5Of7yu09G3p1qmJaJfMRf3Pxk/Mxf3x77jp5MHQcAgALtOjwU9+46mjoGAADAs264b1/qCFAStysoAAAAADxHioEOCgoU3Y1bDsTr/uzWuHvnkdRRoKrcvfNIvO7Pbo1NWw6kjgIAQAFuuN/2BAAAIFu+ev/eyJswRRW6Y1t/6ggAAAAAmaKgQEUbGZuI3/3aD+P9/3h3HB0aTR0HqtLRodF43z/eHb/7tR/GyNhE6jgAAEyCggIAAJA1+46dis0uclNlHjswEIcHR1LHAAAAAMiUe3YeidHx8t43VVCgKJ46dire/r9vi3/4wY7UUaAm/MMPdsTb//dt8dSxU6mjAADwIh7cczS2HRxMHQMAAOCnfEWZmipz+5PlnwYIAAAAkHVDI+PxwO6jZf2dCgpM2727jsQb//z78cCeY6mjQE15YM+xeNOffz/u23UkdRQAAF7Al+9z4QcAAMimf3tofwyPjaeOAUWzeZuCAgAAAMDzKfe5iYIC0/Kle/bEz35ycxwcGE4dBWpS38Bw/MwnN8eX7tmTOgoAAD9hfCIfX3tgf+oYAAAAz+v4qbH4zta+1DGgKPL5fNyxvT91DAAAAIBM2rytvOcmCgpMyfhEPn7/X7fEr/3zAzEyNpE6DtS0kbGJ+LV/fiD+29e3xPhEPnUcAACe8f0nDsWhE8rcAABAdt1wv61vVIdHDwxE/+BI6hgAAAAAmXTPziNlve+toEDBjp0cjZ//1F3xt9/fnjoK8GP+5tbt8QufuiuOnxpNHQUAgIi44T4XfQAAgGy7+dGDcWzImTKVb/OTh1NHAAAAAMisk6Pj8cCeo2X7fQoKFGTbwRPx5r/4Qdzy2MHUUYDn8b3HDsa1f/GD2HbwROooAAA1bWhkLL71w6dSxwAAAHhRI2MT8fWH9qeOAdO2eVt/6ggAAAAAmVbOAQ8KCkzavbuOxFv/6rbYdmgwdRTgRWw7OBhv/avb4r5dR1JHAQCoWTduORBDI+OpYwAAALykG+63/Y3Kls/n447tNigAAAAAvJjbtykokDE3P9IX7/6bO+KINb9QEY4Mjca7/uaOuPnRvtRRAABq0tcfNIEUAACoDHft6I++46dSx4Ape+SpAe8wAQAAAF7CvbuOxMjYRFl+l4ICL+mL9+yJ9//j3XFy1PRPqCQnR8fj/Z++O750z57UUQAAasqp0fG49fFDqWMAAABMSj4fcdMjht1QuTaXcfofAAAAQKU6NToR9+8+WpbfpaDAi/rf33syfv2fH4ixiXzqKMAUjE3k49e/+ED89feeTB0FAKBm/OCJQwreAABARdm05UDqCDBltz+poAAAAAAwGeU6R1FQ4Hnl8/n4vX/dEv/jG4+kjgJMUz4f8d+/8Uj8/r9uiXxe2QgAoNQ2bXWxBwAAqCw/ePJQnBxRtKby5PP5uHNHf+oYAAAAABWhXJsoFRT4KWPjE/ErX7g//u7721NHAYrob7+/PX7lC/fH2PhE6igAAFUrn8/HTVv7UscAAAAoyKnRibj18YOpY0DBtu4fiKNDo6ljAAAAAFSEe3cdieGx0g8qUVDgOUbGJuIj/3Rv3HD/vtRRgBK44f598dHP3hujSgoAACXx4J5j0TcwnDoGAABAwWyDoxLdXqapfwAAAADVYHhsIu7bdbTkv0dBgWcNj43Hhz9zT3x7iwNoqGbf+uGB+PBn7omRMSUFAIBic6EHAACoVN955GDk8/nUMaAgmxUUAAAAAApSjvMUBQUiIuLU6Hh88Pp74qZH+lJHAcpg09a++OD1d5dlVQ8AQC25UeEbAACoUIdODMd9u4+mjgGTNjGRjzu396eOAQAAAFBRFBQoi+Gx8fjQZ+6J7z56MHUUoIxufvRgfPB6mxQAAIplz5GheOSpgdQxAAAApmyT0jUVZMv+43Hs5GjqGAAAAAAV5d5dR+PUaGmHWyso1LiRsYn4yGfuVU6AGvXdRw/Ghz9zT4yOKykAAEzXTVttpAMAACrbpq0KClSOckz7AwAAAKg2I2MTcd+uoyX9HQoKNWx0fCJ+6bP3xk2PuEQDteymR/rio/90b4wpKQAATIuLPAAAQKV77MCJ2HV4KHUMmJR7dx1JHQEAAACgIpX6XEVBoUbl8/n41f/zQHzbql4gIr695UD8yv95IPL5fOooAAAVaeDUaNyxrT91DAAAgGm7UfmaCvHQ3mOpIwAAAABUpIf2lPZcRUGhRv3u17bE1x7YlzoGkCFfe2Bf/O7XtqSOAQBQkb732MEYsZEKAACoAjcpKFABjg6NxO7+k6ljAAAAAFSkUg9+UFCoQX9x8xPxqdt2pI4BZNCnbtsRf/ndJ1LHAACoOJtspwMAAKrEndv749jJ0dQx4EU9vPd46ggAAAAAFWvv0ZNxZHCkZD9fQaHG/J+7dscffevR1DGADPv4Nx+Nf757d+oYAAAVY3wiH9997GDqGAAAAEUxNpGP7z7alzoGvKgH9x5NHQEAAACgoj1Ywi0KCgo1ZNOWA/HbX34odQygAvz2vzxkjTcAwCTdtaM/jg6ZLgoAAFSPTVsVFMi2h0v4Ah0AAACgFpTyfEVBoUbcs7M/fulz98b4RD51FKACjE3k46OfvTfu2XkkdRQAgMzbtEWxEwAAqC7fe7QvRscnUseAF/SQggIAAADAtDy0R0GBaXj8wED8wqfujlOjDpKByTs1OhG/+Om74om+gdRRAAAybZPNUwAAQJU5fmos7tzenzoGPK+jQyOxu/9k6hgAAAAAFa2UAyAUFKrc0aGR+MVP3x3HTo6mjgJUoKNDo/GLn747jg6NpI4CAJBJT/QNxI7DQ6ljAAAAFN2NtsWRUQ/vPZ46AgAAAEDF23v0ZBwZLM3dUAWFKjY2PhEf+ad7Y1e/yzLA1O08PBQf+ad7Y8w6bwCAn7Jpa1/qCAAAACVx0yMKCmRTKaf7AQAAANSSUp2zKChUsf/6r1viticPp44BVIHbnjwcv/evW1LHAADInO8+qqAAAABUp939J+PJgydSx4Cf8tDeo6kjAAAAAFQFBQUK8rk7d8U/3r4zdQyginz69p3x+Tt3pY4BAJAZp0bH495dR1PHAAAAKJnbDcIig2xQAAAAACiOh/YoKDBJd27vj9/5ysOpYwBV6He+8sO4a0d/6hgAAJlw366jMTI2kToGAABAyWzepqBAthwdGond/SdTxwAAAACoCjYoMCl7j56MD3/mnhgdz6eOAlShkfGJ+PBn7om9Rx3+AwDc7qIOAABQ5TZvM7CGbHl47/HUEQAAAACqxt6jJ+PI4EjRf66CQhU5NToe7//03XG4BB8UgB85dGIk3v/pu+PU6HjqKAAASZkkCgAAVLtDJ4bjib6B1DHgWaWa6gcAAABQq0px3qKgUEV+92s/jC37TQ0BSm/L/uPxu1/bkjoGAEAyp0bH4/7dR1PHAAAAKLnbbVEgQx7aezR1BAAAAICqoqDAC/raA/vic3fuTh0DqCGfu3NX/OuD+1LHAABI4t6dR2JkbCJ1DAAAgJLb/KTtcWSHDQoAAAAAxfXQHgUFnsfOw4PxH//lodQxgBr02196KHYdHkodAwCg7DZvc0EHAACoDXds9/xDNhwdGond/SdTxwAAAACoKjYo8FNGxibilz57XwwMj6WOAtSggeGx+KXP3Wt6MABQc25XUAAAAGrEoRMj8fiBgdQxIB7eezx1BAAAAICqs/foyTgyOFLUn6mgUOH++ze2WmUKJPXgnmPxP77xSOoYAABlc2p0PB7Y7TkMAACoHUraZIF3ogAAAAClUexzFwWFCnbjlgPxDz/YkToGQPz9D7bHpi0HUscAACiLe3YeiZFxG6QAAIDasVlBgQx4WEEBAAAAoCQUFIiIiP3HTsZvfPGB1DEAnvXrX3wg9h87mToGAEDJ3f6kizkAAEBtuWNbf+Tz+dQxqHEP7j2aOgIAAABAVXpoj4ICEfGxLz4YR4dGU8cAeNbRodH4rS89lDoGAEDJmRwKAADUmsODI/HYgROpY1DDjg6NxO5+Q5IAAAAASsEGBeLzd+6KWx8/lDoGwE/53mMH4wt37UodAwCgZE6OjMcDe46mjgEAAFB2ytqk9PDe46kjAAAAAFStvUdPxpHBkaL9PAWFCrPv6Mn4b1/fmjoGwAv6/a9vjf3HTDECAKrT3Tv7Y3Q8nzoGAABA2SkokFKxp/gBAAAA8FzFPH9RUKgwv/mlB2NgeCx1DIAXNHBqLH7rSw+ljgEAUBIu5AAAALXqju39kc8rbJPGwwoKAAAAACWloFCjPn/nrrj18UOpYwC8pO89djC+cNeu1DEAAIru9icVFAAAgNrUPzgSjx4YSB2DGvXg3qOpIwAAAABUtYf2KCjUnH1HT8Z/+/rW1DEAJu33/3Vr7Dt6MnUMAICiGRoZK+rEAAAAgEqzWWmbBAZOjcbufu8bAAAAAEppy/7jRftZCgoV4je/9GAMDI+ljgEwaQPDY/Hb//JQ6hgAAEVz144jMTqeTx0DAAAgmdu3KShQftsODqaOAAAAAFD19hwZiuGx8aL8LAWFCvDl+/bErY8fSh0DoGDfe+xg3HDf3tQxAACKYrOLOAAAQI27c3t/5POK25TX9kMKCgAAAAClNpGP2Hl4qCg/S0Eh4wZOjcYf/NsjqWMATNkf/NvWOGEDDABQBe7c3p86AgAAQFJHhkbj0QMDqWNQY7YdPJE6AgAAAEBNKNYmSwWFjPvEpsfj4MBw6hgAU9Y3MByfuPGx1DEAAKZlbHwiHt57LHUMAACA5B7c7dmI8tpmgwIAAABAWRRrk6WCQoY9+tRAfPq2HaljAEzbp27bEY+ZqgUAVLDH+07E8NhE6hgAAADJPaS8TZkV68U4AAAAAC9u+6HibLJUUMiw3/nKwzE2kU8dA2Daxiby8TtfeTh1DACAKXMBBwAA4Gmejyi3HQoKAAAAAGWx7aANClXtK/fvjTu296eOAVA0m7f1x1cf2Jc6BgDAlDzsAg4AAEBERGzdfzzGxm2YozyeOnYqBkfGU8cAAAAAqAnF2mSpoJBBJ4bH4g/+bWvqGABF9wdf3xqDw2OpYwAAFOzBPQoKAAAAERHDYxPx2IHirHqHl7LtkM8aAAAAQLkcHhyJYydHp/1zFBQy6H/d9HgcOD6cOgZA0T11/FT82XceTx0DAKAgY+MTsXX/8dQxAAAAMsOWOcqlWFP7AAAAAJicYpzHKChkzL6jJ+MfbtuROgZAyXzqBzti39GTqWMAAEza430nYnhsInUMAACAzHhIQYEy2X5QQQEAAACgnLYXYaOlgkLG/OmNj8WIiy9AFRsem4hPbHosdQwAgElz8QYAAOC5PCdRLjYoAAAAAJTXtiIMjFBQyJDHDwzEv9y3N3UMgJL70r1744m+gdQxAAAm5WEXbwAAAJ5j6/7jMTZu4Balt01BAQAAAKCsinEeo6CQIR//1qMxPpFPHQOg5MYn8vHxbz6aOgYAwKSYDAoAAPBcw2MT8Xjf9Fe9w4sZG5+I3f1DqWMAAAAA1JTtNihUj3t2HokbtxxIHQOgbL695UDcu+tI6hgAAC9qbHwitu4/njoGAABA5jy0R5mb0trVPxRjhrsBAAAAlNWOw4ORz0/vTEZBISP+8JuPpI4AUHZ/+A3ffQBAtj3edyJOjU6kjgEAAJA5ts1RatsPTX9aHwAAAACFGRoZj6eOn5rWz1BQyICbH+2LO7f3p44BUHZ3bO+P7z7alzoGAMALcuEGAADg+XleotQUFAAAAADS2H5weucyCgoZ8MffejR1BIBk/vjbvgMBgOx62IUbAACA57V1//EYG7dxjtJ5cpovwgEAAACYmm3THByhoJDYdx/tix/uO546BkAyD+89Ht977GDqGAAAz8tEUAAAgOc3PDYRj/edSB2DKrb9kM8XAAAAQArT3WypoJDYX373ydQRAJL7y5ufSB0BAOCnjE/kY+t+hXIAAIAXotRNKU33RTgAAAAAU7Pt4PQGRygoJHTPzv64c3t/6hgAyd2xvT/u2XkkdQwAgOd4vG8gTo1OpI4BAACQWQ8rKFAiQyNjceD4cOoYAAAAADXJBoUK9pc3254A8CN/9V1bFACAbHlwj4s2AAAAL8ZzE6Wy7aDtCQAAAACp7DlyMkbHpz7QUUEhkUeeOh7febQvdQyAzLjpkb549KmB1DEAAJ5lEigAAMCL27r/eIxN40UlvJBt05zSBwAAAMDUjU3kY1f/0JT/fgWFRP7qu09GPp86BUB25PO2KAAA2fKQggIAAMCLGh6biMf7TqSOQRXaboMCAAAAQFLT2XCpoJDArsND8a8P7k8dAyBzvvbg/tg9jdYdAECx5PP5eGS/7U4AAAAvZev+46kjUIW2H1J8AQAAAEhpOuczCgoJ/N33t8X4hPUJAD9pfCIff/f97aljAADE/mOn4uToeOoYAAAAmTedSWrwQrYf8rkCAAAASGk65zMKCmU2ODwW/3Lv3tQxADLrS/fsiaGRsdQxAIAa5yIEAADA5Hh+ohS2+VwBAAAAJDWdwSQKCmX25fv2xsCwi7cAL2RgeCy+fJ8iFwCQ1raDU19VCAAAUEue9PxEkR06MRwDp7xPBQAAAEhpOgMkFBTK7DObd6aOAJB5n9m8K3UEAKDGmdQIAAAwOTsPD0U+n08dgyqy58jJ1BEAAAAAat7BgeEYHhuf0t+roFBGd+3oj0eeGkgdAyDztu4/Hnfv6E8dAwCoYdsVFAAAACbl5Oh47D92KnUMqsiB4z5PAAAAAFnQd3x4Sn+fgkIZXX+77QkAk3W9jTMAQEIKCgAAAJPnGYpi6huY2otvAAAAAIprquc0CgplcnBgOL758FOpYwBUjG889FQcOuElBABQfiNjE7HnyMnUMQAAACrGtoMnUkegihy0QQEAAAAgEw4OTO2cRkGhTL5w164YGZ9IHQOgYoyMT8QX7tqdOgYAUIN29Q/G+EQ+dQwAAICKsc0GBYrowHHDiwAAAACyYKrnNAoKZZDP5+Nzd7pkC1Coz925K/J5lwMBgPLadtDFGgAAgEJsV1CgiPqmOJkPAAAAgOKa6jmNgkIZ3LG9P/YePZk6BkDF2XPkZNy5vT91DACgxrhYAwAAUBjPURSTDQoAAAAA2WCDQoZ95f69qSMAVKwb7t+XOgIAUGNcrAEAACjMniMnY2RsInUMqkTfgIICAAAAQBZM9ZxGQaHEhsfG4+sP7k8dA6Bi/dtD+73YAgDKattBBQUAAIBCjE/kY1e/Zymmb2x8IvoHFRQAAAAAsqDv+Kkp/X0KCiV28yN9cfzUWOoYABXr2MnR+M4jfaljAAA1ZJsNCgAAAAVT9qYYDp0YiYl86hQAAAAARNigkFk33LcvdQSAiveV+/emjgAA1IiBU6Nx6IRJjQAAAIXaruxNERyY4lQ+AAAAAIrvyNBIjI5PFPz3KSiU0LGTo/GdR039Bpiumx7pi+OnRlPHAABqgAs1AAAAU+N5imKY6lQ+AAAAAIovn5/aeY2CQgn920P7Y2Ss8NYIAM81MjYR//bg/tQxAIAasO2gCzUAAABT4XmKYugbsEEBAAAAIEv6prDxUkGhhL5y/97UEQCqxlfu35c6AgBQA7aZ+AkAADAlnqcohgPHbVAAAAAAyBIbFDLkyOBI3LXjSOoYAFXjzh39cXRoJHUMAKDKbXehBgAAYEoOnRiOgVOjqWNQ4Q7aoAAAAACQKTYoZMh3HumL8Yl86hgAVWN8Ih/feaQvdQwAoMptP3QidQQAAICKpfTNdNmgAAAAAJAtNihkyKatB1JHAKg6vlsBgFLbftBlGgAAgKna5pmKaeqzQQEAAAAgUw7YoJANw2PjcctjB1PHAKg6tzx2KEbGJlLHAACqVP/gSAyOjKeOAQAAULF29w+ljkCFs0EBAAAAIFtsUMiIzdv6XWoBKIETw2Oxedvh1DEAgCo1ldY/AAAA/9dUXlbCj4xP5OPwCZ8hAAAAgCzpm8JACQWFEti05UDqCABVa9NW37EAQGkoKAAAAEyP5yqm49CJ4ZjIp04BAAAAwI/rGyj8zE9BoQRucnkWoGRu2tqXOgIAUKVM+gQAAJgez1VMx1Sm8QEAAABQWocHR2JsfKKgv0dBocge3nss9h0zHQagVPYePRk/3HcsdQwAoAoddJEGAABgWjxXMR1TmcYHAAAAQGnl8xEHTxR27qegUGS3PH4wdQSAqnfLY4dSRwAAqtCB4y5CAAAATMfBgeHI5/OpY1ChDtigAAAAAJBJhW6+VFAostufPJw6AkDVu32b71oAoPgKfaAGAADguUbGJ+LI0GjqGFQoGxQAAAAAsqmvwM2pCgpFNDo+EffsPJI6BkDVu2dHf4yNT6SOAQBUmQMuQgAAAEyb7XRMlQ0KAAAAANlU6JmfgkIRPbjnaAyNjKeOAVD1BkfG44E9x1LHAACqjA0KAAAA01foNDX4kYMGBwAAAABkkg0KCW3e1p86AkDN2LztcOoIAECVOegSDQAAwLTZoMBU2aAAAAAAkE19Niik47IsQPn4zgUAiunI4EiMjE+kjgEAAFDxlL+Zqj4bFAAAAAAyyQaFREbHJ+LuHUdSxwCoGffsPBKjLhECAEVS6MM0AAAAz6/QaWrwI0eHRlNHAAAAAOB5HB0aKeivV1Aokgd2H42To+OpYwDUjKGR8Xhwz9HUMQCAKnHABRoAAICiOHBcAZzCjU/kY3jMUCIAAACALBoaKeyOvIJCkdyxvT91BICas3mb714AoDhsUAAAACiOvgEFcAp3YngsdQQAAAAAXkChZzcKCkXywO6jqSMA1BwbFACAYrFBAQAAoDhsUGAqBhUUAAAAADKr0LMbBYUieXjvsdQRAGrOw3uPp44AAFSJgzYoAAAAFMXBE56vKJyCAgAAAEB2DQ6PF/TXKygUweETw7HvmGmbAOW29+jJ6B8cSR0DAKgCfQOe6QAAAIphZGwijg45t6UwgyOFveQGAAAAoHxGxididHxi0n+9gkIRPGh7AkAyD+45mjoCAFAFDhw34RMAAKBYPGNRKBsUAAAAALKtkPMbBYUieHiPggJAKg8riQEARWCDAgAAQPF4xqJQJxQUAAAAADKtkPMbBYUieMjlWIBkfAcDAMXQZ7onAABA0digQKGGRhQUAAAAALJsaGR80n+tgkIRmN4NkM7De4+njgAAVLhjQ6MxPDaROgYAAEDVsEGBQp0YnvwLbgAAAADKzwaFMjp8Yjj2HXPICpDK3qMno39wJHUMAKCCHR402RMAAKCYDp9wZkthBgt4wQ0AAABA+RVyfqOgME1b9w+kjgBQ87but0UBAJi6Qlr+AAAAvDSXzSnUkM8MAAAAQKYNFrABU0FhmrYdOpE6AkDN23bQdzEAMHWFPEQDAADw0gZHPGdRmBOezQEAAAAyzQaFMtp2cDB1BICat+2Q72IAYOpM9gQAACguz1kUymcGAAAAINsGRxQUysalWID0lMUAgOko5CEaAACAl3bCZXMKdMKzOQAAAECmFXLmp6AwTdsPnUgdAaDmbVcWAwCmYXB4PHUEAACAqjLksjkFGlJqAQAAAMi0oQLuVigoTMPI2ETsPXIydQyAmrf36MkYGZtIHQMAqFCDLkEAAAAUlSI4hfKZAQAAAMg2GxTKZOfhwZjIp04BwPhEPnb126IAAExNIQ/RAAAAvDTPWRTKZwYAAAAg2woZ/qigMA3bDrkMC5AV2w76TgYApmZoxCUIAACAYhpy2ZwCeTYHAAAAyLahkclvwFRQmIbtCgoAmaE0BgBM1YnhyT9EAwAA8NKGRscjn7eGnMnzbA4AAACQbYVswFRQmIY9R4ZSRwDgGXuPnEwdAQCoUIWsIQQAAOCl5fMRgwVMVAPP5gAAAADZVsj5jYLCNPQdH04dAYBn9A2cSh0BAKhQLkEAAAAUn2ctJmtiIh8nRxVaAAAAALKskIEkCgrTcGBAQQEgKw4ojQEAUzQ44tIMAABAsSkoMFmeywEAAACyzwaFMjl43LRugKw4qDQGAEzR4LApjQAAAMXmWYvJ8lkBAAAAyD4FhTLI5/Nx8ITLsABZcXBgOPL5fOoYAEAFMtUTAACg+E541mKSfFYAAAAAsq+QMxwFhSnqHxyJ0XEXYQGyYmR8Io4MjaaOAQBUoMERFyEAAACKbcizFpPkswIAAACQfcNjEzE+Mbm78woKU3TguO0JAFlz4Pip1BEAgAo0ODyeOgIAAEDVMRWfyfJZAQAAAKgMkz3HUVCYor4Bl2ABsqZvQHkMAChMPp83qREAAKAElMGZLJ8VAAAAgMowqKBQWi7BAmRPnw0KAECBTo6OxyQ3EAIAAFAAZXAma2RsInUEAAAAACZhsuc4CgpTdPzkaOoIAPyEY76bAYACTXb9IAAAAIXxvMVkjedNDgAAAACoBJM9x1FQmCKHqgDZYw00AFAo//4AAABQGpNd9w55BQUAAACAijDZcxwFhSlyqAqQPYNWhgMABRry7w8AAAAlMTSiEM7kTCgoAAAAAFSEiUke4ygoTNGgQ1WAzFEeAwAKNT7Zp2cAAAAK4nmLyZqYSJ0AAAAAgMmY7KAJBYUpcgkWIHt8NwMAhXJfBgAAoDRMxWeyfFYAAAAAKsNkB00oKEyRS7AA2XNi2HYbAKAwLkEAAACUhkI4k+XRHAAAAKAy2KBQYoMuwQJkztCI8hgAUJi8WxAAAAAloRDOZPmsAAAAAFSGyR7jKChM0aBLsACZY7sNAFAoEz0BAABKw51zJsuzOQAAAEBlsEGhxFyCBciewRHbbQCAwky4BQEAAFASpuIzWeM+KwAAAAAVYbLnOAoKUzTmEgtA5oyNT6SOAABUGJcgAAAASmPcuzQmKe/ZHAAAAKAiTPYcR0Fhikx9Acge77sAgEJ5tAMAACgNz1tMlu2GAAAAAJVhssc4CgpTNGFIN0DmKI8BAIXy7w8AAACl4XmLydJPAAAAAKgMkx00oaAwRVaNAmSPr2YAoFAuQQAAAJSGggKT5bMCAAAAUBlsUACg5iiPAQAAAABkg+NaAAAAAKgu+bBBoaRyuVzqCAD8BN/NAECh/NsDAABAadQ5r2WSnO0DAAAAVIbJnvkpKEyRczKA7KnzTzUAoED1dR7uAAAASsHzFpNV76MCAAAAUBEme+bnKucUmfoCkD2+mwGAQvnXBwAAgNLwvMVk1SmzAAAAAFSEyR7jKChMUYODMoDMqffGCwAokIIjAABAaXjeYrJyPisAAAAAFWGy5zgKClPU0lifOgIAP2FGk+9mAKAwLswAAACUhllfTJbPCgAAAEBlmOwdCwWFKWpvbkgdAYCf0Oa7GQAokEsQAAAApaEQzmT5rAAAAABUhsnesVBQmKLWZlO6AbKmzQYFAKBAk10/CAAAQGE8bzFZhgcAAAAAVAYbFErMlG6A7PHdDAAUqt4tCAAAgJKo9xaSSVJmAQAAAKgMkz3GcTQ4Re1NLsECZE27ggIAUCD9BAAAgNKY7DQ18FkBAAAAqAw2KJSYKd0A2eO7GQAolEsQAAAApWEqPpNl2wYAAABAZaif5BRIxz1T1NZcnzoCAD+hrcl3MwBQmJZGj8UAAACl4HmLyTI8AAAAAKAyTLKfoKAwVaZ0A2SP72YAoFD+/QEAAKA02j1vMUm2bQAAAABUhsme4ygoTFFHi0NVgKxp990MABRIQQEAAKA0PG8xWZOdvAcAAABAWpPdhKmgMEXd7c2pIwDwE+b6bgYACtTW5MIMAABAKbQ11aeOQIVorPfKGgAAAKASNExy0oTTnima19mSOgIAP8F3MwBQqPq6XLQ0ejQGAAAoNhsUmKxWZRYAAACAijDZMz+3MKaop8OUboCs6en03QwAFK7dpRkAAICiU1BgsnxWAAAAACpDW/PkBk0oKEzR3I7myE1uSwUAZVCXi5jbrqAAABTORQgAAIDiUwZnsnxWAAAAALKvsT4XzQ0KCiXVWF8Xs1ubUscA4Bmz25qiod4/1gCAwrU2uQgBAABQbK1Nk3tZCT4rAAAAANlXyN0KNzmnoaezJXUEAJ7R0+E7GQCYmvZJriAEAABg8kzFZ7J8VgAAAACyr5AzHAWFaejpaE4dAYBn9HT6TgYApqbNRQgAAICi86zFZPmsAAAAAGRfWwHDHxUUpmGey7AAmTHPBgUAYIraClhDCAAAwOR41mKyGuvroqnBa2sAAACALCtkyISTnmk4beaM1BEAeMZpMxUUAICpKaTlDwAAwOR41qIQbU0+LwAAAABZVshAEgWFaVje3Zo6AgDPWN7dljoCAFChCmn5AwAA8NKaG+qiod5rSCbPszkAAABAthUykMTJ4DQs725PHQGAZygoAABT1e4SBAAAQFG5bE6hPJsDAAAAZFshZ34KCtPQO9dlWICs8J0MAExVawFrCAEAAHhphUxTg4iI1iafGQAAAIAsayvgboWCwjR0tjRGd3tT6hgANa+7vTk6WhpTxwAAKlS7izMAAABFVcjLSoiwdQMAAAAg62xQKKPl3SZ2A6TW67sYAJgGlyAAAACKq91zFgXymQEAAADItkKGPyooTJOCAkB6vosBgOloNdkTAACgqFpdNqdAns0BAAAAsq2Q8xsFhWla3t2eOgJAzVs+V0EBAJg6UxoBAACKq5BpahDhMwMAAACQdYXcrVBQmKZel2IBkuu1QQEAmIY2lyAAAACKqs00fArUZngAAAAAQKYVcn6joDBNZ87rSB0BoOadeZrvYgBg6lyCAAAAKC7PWRTKZwYAAAAg21oLGP6ooDBNS+e0RkeLAzOAVDpbGmLpHBsUAICp62ptTB0BAACgqsyc4TmLwrQ12W4IAAAAkGXtNiiUTy6Xi7MXzEwdA6Bmnb3QdzAAMD3dbc1RX5dLHQMAAKBqzOtsSR2BCmODAgAAAEC2tTUpKJTV2kUuxwKkslZBAQCYprq6XMxpa0odAwAAoGr0dDSnjkCFKWQCHwAAAADlZ4NCmZneDZCO72AAoBhM9wQAACgez1gUqlVBAQAAACDTWpvrJ/3XKigUgendAOn4DgYAisF0TwAAgOLp6fSMRWHaC3jBDQAAAED52aBQZsvmtEZHi6keAOXW2dIQS+e0po4BAFQBl2cAAACKoy4X0d3uGYvCtNmgAAAAAJBZ9XW5aGm0QaGscrlcnL3ABG+Acjt74czI5XKpYwAAVaCnoyV1BAAAgKowp7056uuc21KYtiYFBQAAAICsam0qbPulgkKRrFukoABQbmsX+u4FAIrDBgUAAIDi6OnwfEXhbFAAAAAAyK72As9uFBSK5Pxls1NHAKg5F/juBQCKZJ4NCgAAAEUxr9PzFYVray5sCh8AAAAA5VPocAkFhSJ52fLZYVstQPnU5SJe1qugAAAUhw0KAAAAxWGDAlPR3FAfjfVetgIAAABkUVtTYcMlFBSKZOaMxlizoDN1DICacdaCmdHZ0pg6BgBQJXpsUAAAACgKBQWmqsOZPwAAAEAmFXpuo6BQRBuXz0kdAaBmbLQ9AQAoorkdzbbiAQAAFEFPpwI4UzO3XbkFAAAAIIsKHUqioFBEG3sVFADKxXcuAFBM9XW5mN3mIgQAAMB02aDAVPV0+uwAAAAAZNHcAs9tFBSK6GW9s6PeyE2Akquvy8XLltugAAAU1zwXIQAAAKZtng0KTFFPh88OAAAAQBbNK/DcRkGhiDpbGmPN/M7UMQCq3lkLOqOjpTF1DACgypjyCQAAMH2m4DNVPjsAAAAA2VTouY2CQpFt7DXRG6DUNvbOSR0BAKhCpnwCAABMT10uYm67S+ZMzTyDAwAAAAAyqdDNlwoKRXbp6XNTRwCoepeu7E4dAQCoQjYoAAAATM/stqZoqPf6kanpMTgAAAAAIJPm2aCQ1kW9c6K9uSF1DICq1d7cYIMCAFASc12EAAAAmJa5BU5Sgx9ncAAAAABANtmgkFhTQ11cdrrJ3gCl8vIzuqOpwT++AIDim+ciBAAAwLQUOkkNftw8gwMAAAAAMqejpSFmNNUX9Pe44VkCV6yelzoCQNW6YpXvWACgNHpchAAAAJgWE/CZjrk+PwAAAACZM5UzPwWFEnjVqp6or8uljgFQderrcvGqVT2pYwAAVcqkTwAAgOkxAZ/paGmsj5kzGlPHAAAAAODH9HQUfuanoFACs9ua4twlXaljAFSd85bMilltTaljAABVqqejJRrrlc0BAACmav7MGakjUOFs4QAAAADIlqkMe1RQKJErV89LHQGg6ly5xvYEAKB06utysXhWa+oYAAAAFWt5d1vqCFQ4WzgAAAAAsqVnCuc1CgolcuUaBQWAYlP+AgBKzWUaAACAqeud65mK6bFBAQAAACBbpnJeo6BQIivmtjuEBSii3rlt0Tu3PXUMAKDKeY4DAACYmvbmBtPvmbapTOQDAAAAoHRsUMiYN65bkDoCQNV40zm+UwGA0lverRAJAAAwFcu6W1NHoArYoAAAAACQLTYoZMybNyxMHQGgavhOBQDKYXm3DQoAAABTofBNMfR0KigAAAAAZMlUtqYqKJTQsu62OGdxV+oYABVv/eKuWDrHZUEAoPR65/p3DgAAgKlQ+KYYpvLCGwAAAIDSsUEhg968fkHqCAAVz/YEAKBc5nW2RHtzQ+oYAAAAFWeFwjdFMJUX3gAAAACURntzQ7RN4Q6FgkKJvfGcBdFQl0sdA6BiNdTl4o3nKHsBAOWzrLs1dQQAAICKY4MCxWCDAgAAAEB2THWYhIJCic1pb47LTu9OHQOgYr38jLkxu60pdQwAoIYs725PHQEAAKDiKChQDC2N9dHRYrMhAAAAQBb0dCooZNa1GxamjgBQsa5Zb3sCAFBeLtUAAAAUpru9OTpaGlPHoErYogAAAACQDT0dUzunUVAog6vXnBZtTfWpYwBUnLam+rh6zWmpYwAANWbFXAUFAACAQvR6jqKIejqmNpkPAAAAgOKa6jmNgkIZzGiqjzeZAA5QsDetXxgzFLwAgDKzQQEAAKAwvZ6jKCIbFAAAAACyYarnNAoKZXLdxmWpIwBUnOs2Lk0dAQCoQQoKAAAAhfEcRTHZoAAAAACQDT2dNihk2poFnXHukq7UMQAqxnlLZ8WaBZ2pYwAANaijpTG6212GAAAAmCwFBYpproICAAAAQCb0dNigkHnXXWQSOMBk2Z4AAKTUO9flGgAAgMnqndueOgJVZF7n1F58AwAAAFBcNihUgNetnR9z2ppSxwDIvDltTfG6tfNTxwAAaliv6Z8AAACTUl+Xi6VzWlPHoIr02KAAAAAAkAlTPadRUCij5ob6ePv5i1PHAMi8d1ywOJoa/CMKAEhnuYICAADApCyaNSMa653nUjwLumakjgAAAABQ8zqaG6KjpXFKf6/TwjJ794VLoi6XOgVAdtXlnv6uBABISUEBAABgcjw/UWwLu2ZEk9ILAAAAQFLLpnHu52SnzBbPbo1XntmTOgZAZr1qVU8smmUdOACQVu/c9tQRAAAAKkJvt+cniquuLhdL5nhPAAAAAJBS71wFhYryi5cuTx0BILN+wXckAJABS+e0Rr31dwAAAC9p+TReVMIL6bWZAwAAACCp6WxOVVBI4OKV3XHO4q7UMQAyZ/3irrh4RXfqGAAA0VhfN62HbQAAgFpx5ryO1BGoQoovAAAAAGkpKFSgj7xiReoIAJnjuxEAyJK1C2emjgAAAJBpdbmIsxZ0po5BFbJBAQAAACCt3u72Kf+9CgqJXL1mXpzeM/X/4gCqzRnz2uOqNfNSxwAAeNbZCgoAAAAvanl3W7Q1N6SOQRVaPo0X4AAAAABM33Q2XCooJJLL5eJDl5sUDvAjH7p8ReRyudQxAACeZYMCAADAi/PcRKkst0EBAAAAIJmejuZon8ZgEgWFhK5ZvyAWds1IHQMguUWzZsSbzlmQOgYAwHOcvbAz6vQnAQAAXtDaRV2pI1Cl5nY0R0eL7RwAAAAAKUx3eISCQkIN9XXxgZf3po4BkNwHXt4bDfX+kQQAZEtrU0P0zm1PHQMAACCzbFCglHptUQAAAABIoneugkJF+5kLFkd3e1PqGADJdLc3xTvOX5w6BgDA83LZBgAA4PnV5SLOWtCZOgZVbLqT+gAAAACYGhsUKlxLY3186PIVqWMAJPOhy1dES2N96hgAAM/rbAUFAACA57W8uy3amhtSx6CKLe+21RAAAAAghd5pnssoKGTAdRctjYVdM1LHACi7hV0z4rqLlqaOAQDwgmxQAAAAeH6elyi13rk2KAAAAACksHya5zIKChnQ3FAf//7K01PHACi7/3Dl6dHcYHsCAJBdZy3ojLpc6hQAAADZY+Mcpba8W0EBAAAAoNwa6nKxZHbrtH6GgkJGvPXcRXF6jzWlQO04Y157vPXcRaljAAC8qLbmBhciAAAAnocNCpSaDQoAAAAA5bdo1oxorJ9exUBBISPq63LxG68+M3UMgLL5jVevijrjiAGACrBuUVfqCAAAAJlSl7NBgdJrbWqIeZ3NqWMAAAAA1JTeudMfuK+gkCFXn3VanLukK3UMgJI7b+msuGrNvNQxAAAmxaUbAACA51re3RZtzQ2pY1ADbDUEAAAAKK9inMcoKGTMb75mVeoIACXnuw4AqCRrFRQAAACew3MS5VKMiX0AAAAATJ6CQhW6sHdOvGpVT+oYACXzqlU98bLls1PHAACYtLMWdEZdLnUKAACA7LBpjnLptUEBAAAAoKyKcR6joJBB//n1q6Op3n81QPVpqq+L//cNa1LHAAAoSFtzQ1EmBAAAAFQLGxQoF8/jAAAAAOVVjI2WbsFnUO/c9vjFy5anjgFQdO+7bLmXCQBARXL5BgAA4Gm5XMRZnpEoE+8UAAAAAMqntak+TpvZMu2fo6CQUb/8qpWxoAj/BQNkxYKZLfHLrzo9dQwAgCk52+UbAACAiHj6wnh7c0PqGNSIJbNbo6EulzoGAAAAQE1YNqc4wyIUFDKqtakh/tPr16SOAVA0//kNa2JGU33qGAAAU7JuUVfqCAAAAJmwToGbMmqor4sls1tTxwAAAACoCcvnKihUvdevmx+XruxOHQNg2i47vTtet3Z+6hgAAFN21oLOMLARAADAhjnKb3l3cV6MAwAAAPDiVhTpHEZBIeP+y5vOisZ6t2CAytVUXxf/5U1npY4BADAtbc0N0Tu3PXUMAACA5NYqKFBmCgoAAAAA5WGDQo1Y2dMev3Dp8tQxAKbsFy5dHitc5gMAqsAFy2aljgAAAJBUU0NdnLO4K3UMakyxXowDAAAA8OKWdxfnrqeCQgX491ecHotmzUgdA6Bgi2bNiH93xcrUMQAAimJj75zUEQAAAJJav7grWhrrU8egxtigAAAAAFAexTqHUVCoAK1NDfHxt66LXC51EoDJy+UiPv62ddHa1JA6CgBAUVykoAAAANQ4z0WkYEszAAAAQOl1tzfFzBmNRflZCgoV4uKV3fGuly1JHQNg0t594ZK4eEV36hgAAEXT09kSvaY2AgAANcxmOVKY19kSXa3FeTkOAAAAwPM787SOov0sBYUK8h9ftzoWzZqROgbAS1o0a0b89mtXp44BAFB0G1e4jAMAANSmpoa62LCkK3UMatTahTNTRwAAAACoamcX8fxFQaGCtDU3xMffui5yudRJAF5YLhfx8beti7bmhtRRAACKzrRQAACgVp27pCtaGutTx6BGKSgAAAAAlNa6hV1F+1kKChXm4pXd8e4Ll6SOAfCC3nPh0rh4RXfqGAAAJbGxd3bqCAAAAEkobJOSggIAAABAaRXz/EVBoQL99mtXx6JZM1LHAPgpi2fPiN967arUMQAASqanoyVWzG1LHQMAAKDsFBRI6WwFBQAAAICSmTmjMZbMaS3az1NQqEBtzQ3x8beti7pc6iQA/1ddLuIP37ou2pobUkcBACgpl3IAAIBa09xQFxuWdKWOQQ1bPLs1ulobU8cAAAAAqEpnL+ws6s9TUKhQF6/ojg+/YkXqGADP+sgrVsbFK7pTxwAAKDkFBQAAoNacu2RWNDfUp45BjVtriwIAAABASRR7e6WCQgX71avOjAuWzUodAyAuWDYrfuWqM1LHAAAoCwUFAACg1ngOIgsUFAAAAABKY93CrqL+PAWFClZfl4v/+bMbrDMFkprV2hh/9s4NUV+XSx0FAKAs5nY0x8qe9tQxAAAAyuaiFQoKpKegAAAAAFAaxT53UVCocAu6ZsQfv+2c1DGAGvZHbzsn5s+ckToGAEBZXWR6KAAAUCNaGuti/eKu1DEgzlZQAAAAACi6mTMaY8mc1qL+TAWFKnDlmnnx85csSx0DqEG/cMnyuHLNvNQxAADKbqOCAgAAUCPOXTIrmhq8UiS9xbNbbZYHAAAAKLKzF3YW/Wc6TawSv/3a1daaAmW1btHM+K3XrkodAwAgiY29s1NHAAAAKAsb5MgS70MBAAAAiqsUWysVFKpEU0Nd/Pm7NkRHS0PqKEAN6GhpiD9/57mmZgEANWtOe3OcMa89dQwAAICS27hCQYHsKMULcwAAAIBaVoqBEG6WVpGlc9riz965IepyqZMA1awuF/G/3rkhlsxpTR0FACCpjaaIAgAAVW5GY32cs6grdQx41joFBQAAAICiWrewq+g/U0GhyrzyzJ74zdesSh0DqGK/9dpV8Yoze1LHAABITkEBAACoductnWWTLpligwIAAABA8cyc0ViSYdVOFKvQBy9fEW/esDB1DKAKvWXDwvjAy1ekjgEAkAkbe+dEzgY7AACgim3snZ06AjzH4tmt0dXamDoGAAAAQFU4e2FnSX6ugkKV+u9vWRvnLO5KHQOoIusXd8V/f+va1DEAADJjdltTnNHTkToGAABAydgcRxattUUBAAAAoChKta1SQaFKtTTWxyevOy/mdTanjgJUgXmdzfHJ686L5ob61FEAADLlstO7U0cAAAAoiY6WBsOwyKRSvTgHAAAAqDWlGgShoFDF5nW2xF9fd340N/ivGZi65oa6+OR150dPZ0vqKAAAmXPF6nmpIwAAAJTE5WfMjcZ675jInnUKCgAAAABFsW5hV0l+rlPFKrd+cVf84VvXRS6XOglQiXK5iI+/bZ0pWQAAL+CCZbOiq7UxdQwAAICiu2qNQjbZZIMCAAAAwPTNnNEYS+a0luRnKyjUgGs3LIzffM2q1DGACvRbr1kV16xfmDoGAEBmNdTXxSvOmJs6BgAAQFE11OXiFWf2pI4Bz2vx7FbDAgAAAACm6eyFnSX72QoKNeJDl6+I9126PHUMoIK8/7Ll8cHLV6SOAQCQeVeaKgoAAFSZC5bNjpkzXAAnu9baogAAAAAwLaXcUqmgUEP+0+tXx7XrF6SOAVSAN29YGP/xdatTxwAAqAiXnzE3GutzqWMAAAAUjSI2WVfKF+gAAAAAtaCUAyAUFGpILpeLP3r7OfHyM+amjgJk2OVnzI2Pv21d5HIu2QEATEZHS2NcuHxO6hgAAABFc9VqBQWyzQYFAAAAgOlRUKBoGuvr4n+/59w4Z5FDO+CnnbO4K/7qPedGY71/PAAAFOLK1T2pIwAAABTF6T3tsWROa+oY8KIUFAAAAACmbuaMxlg6p61kP98N1BrU2tQQf//eC6K3u3QfLKDy9Ha3xT+894JobWpIHQUAoOJcucZ0UQAAoDp4vqESLJ7dGl2tjaljAAAAAFSksxd2lvTnKyjUqDntzXH9+y6MhV0zUkcBMmBh14y4/n0Xxuy2ptRRAAAq0qJZrbHqtI7UMQAAAKbtytUKClQGWxQAAAAApubsEp+rKCjUsIVdM+LzH9gYC2a2pI4CJLRgZkt8/gMbFZYAAKbJJR4AAKDSdbc3x4bFXaljwKSs91kFAAAAmJL1i7pK+vMVFGrc4tmt8dn3b4zTOpUUoBad1tkSn/vAxlg8uzV1FACAinflGgUFAACgsr1q1dyoq8uljgGTcuHyOakjAAAAAFScXC7iwt7SnqsoKBDLutvis++/MOZ1NqeOApTRj8oJS+e0pY4CAFAVzlk0M3o6PFcBAACVy2Y4Ksl5S2dFU73X3QAAAACFOKOnI2a3NZX0dzixISIieue2xxc+cFEsmGmTAtSCBTNb4gsf3BjLu5UTAACKJZfLxRWre1LHAAAAmJLmhrq47PS5qWPApM1oqo9zFs9MHQMAAACgoly0ovRbKRUUeNay7rb4wgcvioVdM1JHAUpoYdeM+MIHL7I5AQCgBEwbBQAAKtUlK7tjRlN96hhQkI29pX+hDgAAAFBNNvbOLvnvUFDgORbPbo0vfHBjLJvTmjoKUALL5jz9v/HFs/1vHACgFC5Z2R0zGl3oAQAAKo/CNZVIQQEAAABg8nK5iAuX26BAAotmtcYXP3xxrF1oJSpUk7ULZ8YXP3xxLJqlnAAAUCotjfVxycru1DEAAAAKkstFXLm6J3UMKNh5S2dFU71X3gAAAACTcea8jpjV1lTy3+O0hufV3d4cn//AxrjUxRqoCped3h2f/8DG6G5vTh0FAKDqXbXGpR4AAKCyrFs4M3o6W1LHgIK1NNbH+sVdqWMAAAAAVIRybaNUUOAFtTU3xN+/94J44zkLUkcBpuFN5yyIv3/vBdHW3JA6CgBATbhi9byoy6VOAQAAMHlXrp6XOgJM2cbe2akjAAAAAFQEBQUyoamhLv7sZ9fHey9eljoKMAU/f8my+J8/uz4arTcGACib7vbmOMf0RgAAoIJcuUZBgcq1cUV5XqwDAAAAVLJcrnyDHtxY5SXlcrn4L286K37j1WemjgIU4GOvOTP+vzeeFbmc8b0AAOX2mrNOSx0BAABgUpbOaY3V8ztTx4ApO3fJrGhq8NobAAAA4MWsOq0zulqbyvK7nNQwaR995cr4o7etiyaT2CHTmurr4o/ffk585BUrU0cBAKhZb1q/IOr0RAEAgApwzfqFqSPAtLQ01scGmwwBAAAAXtRFveXbQummOQV5+/mL47PvvzC625tTRwGeR3d7c3zuAxfG285blDoKAEBNmz9zRly4vHwP9wAAAFP15g0KClS+jWV8wQ4AAABQiTb2zi7b71JQoGDnL5sdX/2lS+KsBdb9QpacvbAzvvpLl8R5S8v3DxEAAF7YtRsWpI4AAADwos5ZNDOWd7eljgHTpqAAAAAA8MLqclHWIYsKCkzJgq4Z8cUPXRyvXzc/dRQgIt6wbn588UMXx4KuGamjAADwjNeunR/NDR67AQCA7LrW9gSqxLlLuzyDAwAAALyA1fM7Y2ZrY9l+n1MapmxGU338xbvOjV+76ozI5VKngdqUy0X8+tVnxJ+/69xoaaxPHQcAgB/T2dIYV6zuSR0DAADgeTXU5eKN59j8RnVobqiPDUu6UscAAAAAyKRyb59UUGDafvmK0+Ov33NetDW5HA3l1N7cEJ+87vz4pVednjoKAAAv4Nr1ppECAADZdOnp3dHd3pw6BhRNuV+0AwAAAFQKBQUq0tVnnRZf+aVLYtVpHamjQE1YdVpH3PDRi+OqNfNSRwEA4EW84sye6CrjmkQAAIDJUqim2lykoAAAAADwU+pyES9bPru8v7Osv42qtrKnI2746CXxzpctSR0Fqtq7LlwSN3z0kljZoxAEAJB1TQ118bq181PHAAAAeI62pvp49VmnpY4BRbV+SVe0NHr9DQAAAPDj1izojJkzyjtY0QkNRdXSWB///S1r43+9c0N0NDekjgNVpaO5If78XRviD968Nloa61PHAQBgkt68wVRSAAAgW64+67SY0eScmerS3FAfGxbPSh0DAAAAIFM2Li//1kkFBUrijecsiH/9d5fGukUzU0eBqrBu0cz4+r+7LN6wbkHqKAAAFOj8pbNi0awZqWMAAAA865r1zpqpThetKP8LdwAAAIAsS3FeoqBAySyd0xZf/NDF8QuXLE8dBSraL166PL74oYtjyZzW1FEAAJiCXC7n8g8AAJAZ3e3Ncdnpc1PHgJLY2KugAAAAAPAj9XW5uGD57LL/XgUFSqqpoS5+541r4u/fe370dDSnjgMVpaejOf7+vefH//uGNdHU4OsaAKCSvXnDwtQRAAAAIiLijefMj/q6XOoYUBLrF3dFS6N3KgAAAAAREWvmd0ZnS2PZf6/TGcriVavmxY2/crlLOTBJb9mwMG78lcvjVavmpY4CAEARrOzpiLMWdKaOAQAAENeu966G6tXUUBfnLZ2VOgYAAABAJly0Is22SQUFymZma2P86c+sj7/9OdsU4IX0dDTH3/7c+fEnP7M+ZraWv7UGAEDpKGwDAACp9c5ti3MWd6WOASW1cXmaF+8AAAAAWbOxd3aS36ugQNlducY2BXg+P9qacOUaWxMAAKrRm85ZEHW51CkAAIBaZnsCtWBjosmAAAAAAFlSX5eLC5YpKFBDbFOA/8vWBACA2tDT2RIXr+hOHQMAAKhhCgrUgnMWdcWMxvrUMQAAAACSOntBZ3S0pLmTqqBAUj/apvCuC5eYJErNqctFvPvCJbYmAADUkGttkgMAABI5d0lXLJnTmjoGlFxTQ128bHma6YAAAAAAWXHJynQDFBUUSG5ma2P8wZvXxlc+emmsX9yVOg6UxfrFXfGVj14a/+3Na21NAACoIa85+7RoafQoDgAAlN+bFaapIVeu7kkdAQAAACCpK1anG5ztVgSZsXbRzPjyRy6OP3zr2pjd1pQ6DpTEnLam+Phb18WXP3JxrF00M3UcAADKrL25Ia5ac1rqGAAAQI1prM/F69ctSB0DysbmagAAAKCWdbc3x4aEQ+MVFMiUXC4XP3PBkrj5114R121cGnW51ImgOOpyEddtXBrf+bVXxDsuWBy5nA83AECtesf5i1JHAAAAasyVq+cZDkVNmT9zRpy1oDN1DAAAAIAkXrVqbtQlvIStoEAmzWxtjN+79uz46i9dGuctnZU6DkzL+UtnxVd/6dL4vWvPjpmtjanjAACQ2KUru6O3uy11DAAAoIZct3Fp6ghQdlestkUBAAAAqE2pz0UUFMi0sxfOjC99+OL45HXnxek97anjQEHOmNcen7zuvPjihy+OsxfOTB0HAICMyOVy8W6XgwAAgDJZ2dMeF6/sTh0Dyu4qBQUAAACgBjU31MXLT5+bNIOCAhXh6rNOi2/9h5fHH71tXSzsmpE6DryohV0z4o/eti6++e9fHlefdVrqOAAAZNDbzlsUMxrrU8cAAABqwHsuXJI6AiSxdtHMOK2zJXUMAAAAgLK6ZGV3zGhKex9BQYGKUVeXi7efvzi+8+uXx39+/eqY1dqYOhI8x6zWxvjPr18d3/n1y+Pt5y+Ourpc6kgAAGTUzBmN8aZzFqSOAQAAVLnWpvp463mLUseAZK5Y3ZM6AgAAAEBZXZmBrZIKClSc5ob6eN9lvXHLx14Zv/yqldGWuOUDbU318cuvWhm3fOyV8b7LeqO5wWcSAICXdt1FS1NHAAAAqtw16xdGR4uBT9SuK9ekfyEPAAAAUC65XMSVGRjY0JA6AExVR0tj/NrVZ8YvXLI8PnXbjvj07Tvi6NBo6ljUkK7WxnjvxcvivRcvi67WptRxAACoMGcvnBnrF3fF/buPpo4CAABUqes2KkZT2y5eMSfamupjcGQ8dRQAAACAklu3cGb0dLakjqGgQOWb1dYUv3LVGfHBy3vjs3fsir+9dXs8dfxU6lhUsdM6W+J9ly2Pd124JFqbfI0CADB1121cqqAAAACUxHlLZ8WaBZ2pY0BSzQ31cenp3fGtHx5IHQUAAACg5K5YnY1tknWpA0CxtDY1xPsu641bPvbK+MO3ro3l3W2pI1Flervb4g/fujZu+dgr432X9SonAAAwbW84Z37Mam1MHQMAAKhCtifA067MyIt5AAAAgFLLyjmI27VUnaaGuviZC5bE289bHN94+Kn4m1u3mUjKtKxf3BXvv6w3Xnv2aVFXl0sdBwCAKtLcUB/vOH9x/PUt21JHAQAAqsictqZ43dr5qWNAJlyxel7U5SIm8qmTAAAAAJTOwq4ZmdmoqqBA1aqry8Xr182P16+bHw/tORbXb94RX31gX5wanUgdjQrQ0lgXbzpnQfzcRcvi7IUzU8cBAKCKvfvCpfE3t25zUQIAACiad1ywOJoaLFKHiIjZbU1x7pJZcffOI6mjAAAAAJTMlat7Ukd4loICNWHtopnx8bedE//pdWvin+/ZHf90x67YfmgwdSwyaHl3W7z7wqc3cMxsbUwdBwCAGrBkTmu8/Iy58d1HD6aOAgAAVIG6XMS7L1ySOgZkypVr5ikoAAAAAFXtyjXzUkd4Vi6fz5vRSM3J5/Px/ScOxfW374ybHumLcaNKa1p9XS6uWNUT1120NC5d2R25XC51JAAAasxNWw/EL3767tQxAACAKnDFqp74u/dekDoGZMoTfSfiyj/5XuoYAAAAACXR0dwQ9/7OVdFYn42tqjYoUJNyuVxcdvrcuOz0udF3/FR89YF9ccP9e+PhvcdTR6OM1i6cGdesXxBvWr8gejpaUscBAKCGvfLMnlg0a0bsOXIydRQAAKDCveeipakjQOas7GmP5d1tNqwDAAAAVenlZ8zNTDkhQkEBoqezJd53WW+877LeeKJvIG647+mygotB1WnRrBlx7fqFce2GhbGypz11HAAAiIiIurpcvOvCJfHxbz6aOgoAAFDBlsxujVecMTd1DMikK1b1xN9+f3vqGAAAAABFd+WantQRniOXz+fzqUNA1uTz+bh755G44b698fWH9sfRodHUkZiGrtbGeP3a+XHthoVx/tJZkcvlUkcCAICfcvjEcFz0P74TI2MTqaMAAAAV6rdfuyo+ePmK1DEgkzZvOxw/+8nNqWMAAAAAFFVDXS7u+c9XxczWxtRRnmWDAjyPXC4XFyybHRcsmx2/+6az4s4d/bFpS1/c9MiB2Hl4KHU8JmHpnNa4cvW8uGJ1T7xs2exoyNDqGgAAeD5z2pvjdWefFjfcvy91FAAAoAI1N9TFO85fnDoGZNYFy2ZHV2ujwWQAAABAVTlv6axMlRMiFBTgJTXU18XFK7rj4hXd8TtvXBOPHxiIG7ceiE1bDsT9u4/GhB0kmVCXi1i/uCuuXDMvrlo9L06f15E6EgAAFOy6i5YqKAAAAFPy+nXzY1ZbU+oYkFn1dbl45Zk98eX79qaOAgAAAFA0V62ZlzrCT1FQgAKdPq8jTp/XER95xco4dGI4vvNIX9z6+KHYvO1wHBwYTh2vpsztaI6NvXPistO741WreqK7vTl1JAAAmJbzls6ONfM7Y8v+46mjAAAAFea6jUtTR4DMu3L1PAUFAAAAoKpcuVpBAapKd3tzvOP8xc+uTH6i70Rs3nY4bt92OO7Y1h+HTigsFFN3e3Ns7J0dG3vnxMbeObGypz11JAAAKLr3XrwsPvalB1PHAAAAKsg5i7tiw5JZqWNA5r38jO5oqq+LkfGJ1FEAAAAApm3F3LZY1t2WOsZPUVCAIlrZ0x4re9rjPc9MKXqibyBuf/Jw3LG9Px7aeyx2Hh5KnLCyLJ3TGmsXzowLe+fERb2zY2VPR+pIAABQctduWBh/cuNj8dTxU6mjAAAAFeLDl69IHQEqQkdLY1zYOztuffxQ6igAAAAA03blmuxtT4hQUICSWtnTESt7OuK6i5ZFRMSxk6Pxw73H4qEf+0NpISKXi1g6uzXOXjgz1j7zx1kLZ8bMGY2powEAQNk1NdTF+y5bHr//9a2powAAABVgZU97vPqsbL6IhCy6cvU8BQUAAACgKly1Opvngrl8Pp9PHQJq2Y9KC1ufGojth07E9kODsf3gYOw/fiqq7X+duVzE/M6WWD63LZZ3t8Xy7vZYfVqHMgIAAPyEoZGxuOR/fCeODI2mjgIAAGTcH7/9nHjbeYtSx4CKsffoybjkf3wndQwAAACAaZnT1hR3/acro64ulzrKT7FBARKbOaMxLl7ZHRev7H7Of35yZPzpssKhwdh+6ERsOzQY+46ejL6B4eg7PhwnhscSJX5x7c0N0dPZHD0dzbGga0b0PlNEeLqQ0BYzmupTRwQAgMxrbWqI/+fiZfGJTY+njgIAAGTYwq4Zcc36BaljQEVZ2DUj1szvjC37j6eOAgAAADBlr1zVk8lyQoSCAmTWjKb6WLOgM9Ys6Hze//+hkbE4cHw4+o6figMDT//54MBwHD81FoPDYzE0MhYnhsdiaGQ8Tgw/858Nj8fgyFhMvMRmhrpcRFtTQ7Q210dbc0O0NzdEa1P9M39uiLbmhuhsaYi5Hc3R09kS8370587maG3ytQIAAMXw3ouXxd/csi0GR8ZTRwEAADLq/Zctj8b6utQxoOK8ft18BQUAAACgor1h3fzUEV6Qm8RQoVqbGmJ5d0Ms724r+O/N5/MxkY+YyOdjIv90W6Eul3vmj4hcLpuNKgAAqCVdrU3xzpctib/9/vbUUQAAgAya09YUP/uyJaljQEW6dsPC+ONvPxr5lxjqBQAAAJBF3e3Ncdnpc1PHeEFGqkANyuVyUV+Xi8b6umhuqI/mhvporK+L+rqccgIAAGTI+y7rjSbTUAEAgOfx85csi5bG+tQxoCIt7JoRFyydnToGAAAAwJS8Yd38qK/L7n1ftxwAAAAgo06b2RJvOXdh6hgAAEDGtDc3xHUXLUsdAyratRs8bwMAAACV6c0ZP9dQUAAAAIAM++DlKyLDgw8AAIAE3r1xScyc0Zg6BlS016+db2shAAAAUHF6u9vinMVdqWO8KCcuAAAAkGHLu9vitWvnp44BAABkRHNDXfzipctTx4CKN7O1MV5x5tzUMQAAAAAKcs36bG9PiFBQAAAAgMz7yCtWpI4AAABkxNvOWxQ9HS2pY0BVePOG7L/QBwAAAPhxlXCeoaAAAAAAGXfWgplx+RmmOgIAQK2rr8vFB1+uwAzF8qrVPdHZ0pA6BgAAAMCknLukK5bMaU0d4yUpKAAAAEAFsEUBAAB4w7r5FfECEipFc0N9vPbs+aljAAAAAEzKtRWwPSFCQQEAAAAqwoW9c+K8pbNSxwAAABLJ5SI+rLgMRVcpL/YBAACA2tZYn4s3rFuQOsakKCgAAABAhbBFAQAAaterzuyJVad1po4BVWdj7+xYMLMldQwAAACAF/Xy0+fG7Lam1DEmRUEBAAAAKsSrVvXEqtM6UscAAAAS+MgrFZahFHK5XLxxfWVMHwQAAABq1zUVtAVSQQEAAAAqRC6Xiw/bogAAADXnZctnx3lLZ6eOAVXrLRsWpY4AAAAA8ILamxvi6jXzUseYNAUFAAAAqCBvWLcglsxuTR0DAAAoo48oKkNJnXlah42FAAAAQGa9+qzToqWxPnWMSVNQAAAAgApSX5dzOQkAAGrIukUz4xVn9qSOAVXv2g0LU0cAAAAAeF7XbliQOkJBFBQAAACgwrztvEXR292WOgYAAFAGH3v1qtQRoCZcs35B1OVSpwAAAAB4rp6O5rhkRXfqGAVRUAAAAIAK01BfF7/+6jNTxwAAAErs0pXdcenplfXyESrV/Jkz4sLlc1LHAAAAAHiON52zIOoqbKqCggIAAABUoNetnR/rFs1MHQMAACiRXC7iY69RTIZyunbDgtQRAAAAAJ7j2g0LU0comIICAAAAVKjffM2q1BEAAIASed3Z82Pdoq7UMaCmvHbt/Ghu8AodAAAAyIbTe9rj7IWVN7jQ6QoAAABUqEtWdsdlp3enjgEAABRZQ10ufu3qM1LHgJrT2dIYV6zuSR0DAAAAICIqc3tChIICAAAAVLSPvXpV5HKpUwAAAMX09vMXR+/c9tQxoCZdu74yX/wDAAAA1SWXi7hm/YLUMaZEQQEAAAAq2NpFM+N1a+enjgEAABRJS2Nd/IcrT08dA2rWK87sia7WxtQxAAAAgBp3/tJZsWhWa+oYU6KgAAAAABXu168+MxrqrFEAAIBq8N6Ll8e8zpbUMaBmNTXUGQQAAAAAJHfthsrd8qigAAAAABVueXdbvOOCxaljAAAA0zRzRmN8+BUrUseAmvfmCr4AAAAAAFS+pvq6eMPaBaljTJmCAgAAAFSB/3DF6TGjsT51DAAAYBo+dPmKmDmjMXUMqHnnL50Vi2bNSB0DAAAAqFGXnzk3ZrZW7jmhggIAAABUgZ7Olvj5S5aljgEAAEzRaf6dHjIjl8vFtettUQAAAADSqPTtjgoKAAAAUCU+9IoV0VXBUxQAAKCW/fsrT48WW9EgM95+/qLI5VKnAAAAAGrNnLamuHL1vNQxpkVBAQAAAKpEZ0tjfPjyFaljAAAABeqd2xbvOH9x6hjAj1k6py0uO31u6hgAAABAjXnHBYujqaGyr/hXdnoAAADgOf6fi5fF/JktqWMAAAAF+PWrz4z6OqPaIWuu27g0dQQAAACghtTlIt594ZLUMaZNQQEAAACqSEtjffz7K05PHQMAAJikdYtmxuvWzk8dA3geV6zqiYVdM1LHAAAAAGrEK8/siUWzWlPHmDYFBQAAAKgybz9/cayY25Y6BgAAMAm/+ZpVqSMAL6CuLhfvqoKphQAAAEBleM9F1bHNUUEBAAAAqkx9XS5+49Vnpo4BAAC8hMtO745LVnanjgG8iJ+5YHE01XutDgAAAJTWktmt8Yoz5qaOURROUgAAAKAKvebs+bF+cVfqGAAAwAvI5SI+9mrbEyDrutub4zVnn5Y6BgAAAFDl3n3hksjlcqljFIWCAgAAAFSp33njmqiS8wsAAKg6bzt3UaxdNDN1DGASrrtoaeoIAAAAQBVrbqiLd5y/OHWMolFQAAAAgCp17pJZ8fbzFqWOAQAA/ITOlob4rdfangCV4oJls2PVaR2pYwAAAABV6vXr5sestqbUMYpGQQEAAACq2G++ZlXMnNGYOgYAAPBjfu3qM2NOe3PqGEABbFEAAAAASuW6jdV17qCgAAAAAFVsTntz/NrVZ6SOAQAAPGP1/M54T5W9cIRa8OYNC6OjuSF1DAAAAKDKrF04MzYsmZU6RlEpKAAAAECVe/eFS2PN/M7UMQAAoOblchG/d81ZUV+XSx0FKFBrU0O85dyFqWMAAAAAVeY9G5ekjlB0CgoAAABQ5errcvF7154VOXegAAAgqbdsWBTnL5udOgYwRdddZPsJAAAAUDydLQ1xzfrqG4igoAAAAAA14Lyls+MtGxaljgEAADWro6Uhfvt1q1LHAKZhZU9HbOxVMgIAAACK423nLY6WxvrUMYpOQQEAAABqxG+/blV0tjSkjgEAADXpV686I7rbm1PHAKbpuo3LUkcAAAAAqkAuF/GejUtSxygJBQUAAACoEd3tzfGrV52ROgYAANScVad1xM9dtCx1DKAIXn3WvOjpUDYCAAAApueSFd3RO7c9dYySUFAAAACAGnLdRcti9fzO1DEAAKCm/Ndrzo76ulzqGEARNNTXxc++rDqnGwIAAADl856NS1NHKBkFBQAAAKgh9XW5+K/XnJU6BgAA1Iw3b1gYL1s+O3UMoIje9bL/v737jtK7rPM+/r3ve1qmJjOTmZRJm7RJr6RQpHcwdKWqKAg21HVBH11d0Wetu6697boqCvqIK7DqWlh1F5UgIp1QAwESSCW9Tnn+SGQtlJSZue7yep0zZ2aA43mD53CY31yf3zUyyoyOAAAAgP00tKEqjp3cmjqjzxgoAAAAQIk5aHRjnDFreOoMAAAoenWVZfGekzpSZwC9bEhDVRwzqXgPEQAAAAB969x5I4v6xlUDBQAAAChB7z6pI+oqy1JnAABAUXv7sROipa4qdQbQBy5cOCp1AgAAAFCAynOZePW8Eakz+pSBAgAAAJSglrqqePuxE1JnAABA0ZrYWhevcYAZitYh45pj7OCa1BkAAABAgTluypCif6mJgQIAAACUqNcsHBUTW+tSZwAAQFG6etGUKMv5VRwUs/PnGyEBAAAA++bCBcX/PMFTUQAAAChRZblsXL1oSuoMAAAoOotmDov57U2pM4A+dtbcthhQnkudAQAAABSICa21saAEnhsaKAAAAEAJm9/eFItmDkudAQAARaO2sizee9Kk1BlAP6ivKvczNQAAALDXLiiB2xMiDBQAAACg5L33pElRW1mWOgMAAIrCFUePj5b6qtQZQD8plYMFAAAAwIGpqcjFGbPbUmf0CwMFAAAAKHEt9VXx7hM7UmcAAEDBm97WEBcfOiZ1BtCPpg5viDmjBqXOAAAAAPLcGbPbSubFgQYKAAAAQJw/f2QcMq4pdQYAABSsirJsfPLsGZHLZlKnAP3sja9oT50AAAAA5LFcNhOXHFY6zw8MFAAAAIDIZDLxsTOnl8wbGwAAoLddcfT4mNBalzoDSODYya0xobU2dQYAAACQp06eNjRGNlWnzug3BgoAAABARES0DaqOd5/YkToDAAAKzvS2hrjs8LGpM4BEMpmMfwcAAAAAL+ryI0rruYGBAgAAAPC88+ePjEPGNaXOAACAglFRlo1Pnj0jctlM6hQgoVfOGBZtgwakzgAAAADyzFEdLTFpaH3qjH5loAAAAAA8L5PJxMfOnB61lWWpUwAAoCBccfT4mNBalzoDSKwsl41LX9GeOgMAAADIM28qsdsTIgwUAAAAgL/QNqg63nNSR+oMAADIezPaGuKyw0vvF4zACztn7ohorq1InQEAAADkiXmjG2Pu6MbUGf3OQAEAAAD4K+fPHxWHjGtKnQEAAHmroiwbnzh7RuSymdQpQJ6oKs/F6w4ZkzoDAAAAyBOXH1maLzcxUAAAAABe0MfOnB61lWWpMwAAIC9dcfT4mNBalzoDyDMXLhwVdX6WBgAAgJI3eWh9HDmxJXVGEgYKAAAAwAtqG1Qd7zmpI3UGAADknRltDXHZ4aX59jPgpdVXlccFC0elzgAAAAASu/yI0n1+aKAAAAAAvKjz54+KQ8Y1pc4AAIC8UVGWjU+cPSNy2UzqFCBPXXzImKgs86t4AAAAKFWjm6rjpGlDU2ck46kIAAAA8JI+dub0qK0sS50BAAB54Yqjx8eE1rrUGUAeG1xXGefMHZE6AwAAAEjkjYePLekXnBgoAAAAAC+pbVB1vOekjtQZAACQ3Iy2hrjs8NK9mh3Ye5e+oj3KSvggAgAAAJSq1vrKOHN2W+qMpAwUAAAAgJd1/vxRcei45tQZAACQTEVZNj559oySfvMZsPdGNFbHqTOGpc4AAAAA+tkbDm2PirLSPqJf2n/3AAAAwF776JnTorayLHUGAAAkccXR42N8a13qDKCAXH7E2MjYNAEAAEDJGFhdHufNH5k6IzkDBQAAAGCvtA2qjvec1JE6AwAA+t2Mtoa47PCxqTOAAjOhtS6O7mhNnQEAAAD0k4sWjo4aL/0zUAAAAAD23vnzR8Wh45pTZwAAQL+pKMvGJ8+eEbms16AD++5NRxo3AQAAQCmorsjF6w4enTojLxgoAAAAAPvkY2dNj/oqb30AAKA0vPPYCTG+tS51BlCgZo8cFAvaG1NnAAAAAH3s1QeNjEE1Fakz8oKBAgAAALBPhg8cEB87c3rqDAAA6HOvmDA43viK9tQZQIF70xHjUicAAAAAfagil41LXjEmdUbeMFAAAAAA9tmJ04bGhQtGpc4AAIA+01JXGZ86Z0ZkMpnUKUCBe8WEwTF1eH3qDAAAAKCPnDZrWAxtGJA6I28YKAAAAAD75X2nTIpJQx2wAACg+GQzEf/86pnRVFuZOgUoEm5RAAAAgOKUzURcdvjY1Bl5xUABAAAA2C+VZbn4/HmzoqYilzoFAAB61VuOGh8Hj21OnQEUkROmDIn2wTWpMwAAAIBedsLUIdE+uDZ1Rl4xUAAAAAD2W/vg2vjw6VNTZwAAQK+ZP6Yxrjh6fOoMoMhks5m47BXepggAAADFxq2Jf81AAQAAADggp89qi7PmtKXOAACAA9ZYUxGfOXdW5LKZ1ClAETp99vAY2lCVOgMAAADoJYeNb46pwxtSZ+QdAwUAAADggF29aEqMa3FtJQAAhSuTifjHs2dEa73Dw0DfKM9l4/WHjkmdAQAAAPQStye8MAMFAAAA4IBVV5TF586bFZVlHjUAAFCYLjmsPY7saEmdARS58+aPjMaaitQZAAAAwAGaPXJgLBzblDojLzk1AAAAAPSKjiH18f5TJ6fOAACAfTZzxMD42+Mnps4ASkB1RVm86YixqTMAAACAA/QuzxNflIECAAAA0GvOnz8qTp4+NHUGAADstfqqsvjsubOiPOfXZkD/uHDhqBjWUJU6AwAAANhPh41vjoPHNqfOyFuetAIAAAC96qNnTIuRjdWpMwAAYK987MzpMcJ/vwL9qLIsF28/dkLqDAAAAGA/ZDIRV53QkTojrxkoAAAAAL2qrqo8PnferKjwBloAAPLchQtGxYnT3AAG9L8zZ7fF+Jba1BkAAADAPjp52tCYOrwhdUZec1IAAAAA6HXT2wbGlSdMTJ0BAAAvatLQ+njfKZNSZwAlKpfNxLuO93MzAAAAFJLyXCbedZyf51+OgQIAAADQJ95wWHscM6kldQYAAPyVmopcfP68WVFZlkudApSw46cMidkjB6bOAAAAAPbSqw4aEaOba1Jn5D0DBQAAAKDPfPLsGTGsoSp1BgAA/JkPnz412gfXps4AiKtO6EidAAAAAOyFAeW5eNvR41NnFAQDBQAAAKDPDKyuiM+cOyvKspnUKQAAEBERZ81pi9NntaXOAIiIiPntTXHExMGpMwAAAICXcfGho6Olzsv59oaBAgAAANCn5o5ujHcdPzF1BgAAxMTWuvjQoqmpMwD+zJXHd0TGrh8AAADy1sDq8njj4WNTZxQMAwUAAACgz112+Nh45YxhqTMAAChhg6rL419eMzcGVORSpwD8mcnD6mORn5kBAAAgb73piLFRX1WeOqNgGCgAAAAA/eLjZ02P6W0NqTMAAChBZdlMfOH8OTGisTp1CsAL+pvjJkZ5zjUKAAAAkG+GNVTFRQtHp84oKAYKAAAAQL+oKs/FVy6cG4PrKlOnAABQYj5w6uRYOLYpdQbAixrRWB3nzRuZOgMAAAD4C1ccMz6qyt3Kui8MFAAAAIB+M6ShKr584ZyoKPNIAgCA/nHe/JFxoTecAQXgrUePj5oKBx4AAAAgX4xrqY2z5oxInVFwnAYAAAAA+tXskYPi/542NXUGAAAlYN6YxvjgK6ekzgDYK821lfH6Q8ekzgAAAAD2eNdxEyOXzaTOKDgGCgAAAEC/O3vuCIcuAADoU22DBsSXLpgT5Tm/DgMKx6WHj43GmorUGQAAAFDyZo4YGCdMHZI6oyB5IgsAAAAk8X9OmhSHjW9OnQEAQBGqrsjFVy+a65AvUHBqK8viTUeMTZ0BAAAAJe+qEzpSJxQsAwUAAAAgiVw2E587b3aMaa5JnQIAQBHJZCL+6ZwZMWlofeoUgP1y4cJRMXzggNQZAAAAULJeMWFwLBzblDqjYBkoAAAAAMk0DCiPr140N+qqylKnAABQJN521Pg4YerQ1BkA+62yLBfvOHZC6gwAAAAoSZlMxFUnTEydUdAMFAAAAICkxrXUxmfOnRXZTOoSAAAK3YlTh8TbjxmfOgPggJ0xa3hMaK1NnQEAAAAl59Tpw2LKsIbUGQXNQAEAAABI7siJLXHVCR2pMwAAKGCThtbHP54zIzIZy1eg8GWzmfjb4/2cDAAAAP2pPJeJvznOrYYHykABAAAAyAtvPHxsnD5reOoMAAAKUFNNRXz1ojlRXVGWOgWg1xw7uTXmjhqUOgMAAABKxqsPGhmjmmpSZxQ8AwUAAAAgb3zkjGkxY8TA1BkAABSQ8lwmvnD+7GgbVJ06BaDXXXWiWxQAAACgP1RX5OKtR49LnVEUDBQAAACAvFFVnouvXDgnWusrU6cAAFAgPvjKqTG/vSl1BkCfOGh0YxzV0ZI6AwAAAIrexYeMiZa6qtQZRcFAAQAAAMgrrfVV8eUL50ZlmccWAAC8tAsXjIrz5o9MnQHQp648YWJkM6krAAAAoHgNqi6PNx7enjqjaPhNPwAAAJB3Zo4YGB89c1rqDAAA8tjC9qb4wKmTU2cA9LmOIfVx1py21BkAAABQtN529PioqypPnVE0DBQAAACAvHT6rLZ413ETUmcAAJCHOobUxZcvmhNlOb/qAkrDVSd0RH1VWeoMAAAAKDodQ+riooWjU2cUFU9tAQAAgLz1lqPGx2sWjkqdAQBAHhk+cEB84+J5Ue+NZkAJaaqtjL85bmLqDAAAACg6HzptauSymdQZRcVAAQAAAMhrHzh1Spw8fWjqDAAA8kBjTUV88/XzorW+KnUKQL+7YMGomDy0PnUGAAAAFI0zZg2Pg0Y3ps4oOgYKAAAAQF7LZjPxqXNmxiHjmlKnAACQUHVFLr722oNi7ODa1CkASeSymfjQaVMi46WOAAAAcMDqKsvi3Sd1pM4oSgYKAAAAQN6rKMvGly+cG1OGeVMkAEApKs9l4gvnz46ZIwamTgFIas6oxjhjVlvqDAAAACh4bz92QrTUuam1LxgoAAAAAAWhtrIsvv66eTGysTp1CgAA/SiTifjYmdPjiIktqVMA8sJ7TuqIuqqy1BkAAABQsCa21sVrFo5KnVG0DBQAAACAgjG4rjKuef28aK6tSJ0CAEA/ec+JHXHGbG8LB/ij5trKeOexE1JnAAAAQMG6etGUKMs5Rt9X/JMFAAAACsqoppr4+uvmRW2lt0UCABS7Sw4bE5e+YmzqDIC8c9HC0dExpC51BgAAABScRTOHxfz2ptQZRc1AAQAAACg4U4c3xJcumBMV3moBAFC0Tp81PP7PSZNSZwDkpVw2E1cvmpo6AwAAAApKbWVZvNczxz7nt/gAAABAQTp0fHP84zkzIpNJXQIAQG87fMLg+PhZ0yPjP/YAXtS8MY1x+qzhqTMAAACgYLz9mPHRUl+VOqPoGSgAAAAABevUGcPiA6dMTp0BAEAvmjFiYHzxgtlR7rYsgJf1npM6oq6yLHUGAAAA5L0JrbXx2oNHp84oCZ7sAgAAAAXttYeMiTcdMTZ1BgAAvaC9uSb+7bUHRXWFw7YAe6OlrirefuyE1BkAAACQ9z74yqlR5qUo/cI/ZQAAAKDgXXlCR5wzty11BgAAB6C1vjK++fp50VhTkToFoKC8ZuGomNhalzoDAAAA8tapM4bFwrFNqTNKhoECAAAAUBQ+csb0OGZSS+oMAAD2Q11VWXzj4nnRNqg6dQpAwSnLZePqRVNSZwAAAEBeqqnIxftOnpQ6o6QYKAAAAABFIZfNxOfOmx1zRg1KnQIAwD6oLMvGv1w0NzqG1KdOAShY89ubYtHMYakzAAAAIO9cccz4aK2vSp1RUgwUAAAAgKJRVZ6Lr73moJjYWpc6BQCAvVCWzcRnzp0V89tdrw5woN570qSorSxLnQEAAAB5Y1xLbbzukDGpM0qOgQIAAABQVBqqy+Pbl8yPcS21qVMAAHgJuWwmPvWqmXH8lCGpUwCKQkt9VVxx9PjUGQAAAJA3rn7llCjPOS7f3/wTBwAAAIpOc21lXHvJ/GgfXJM6BQCAF5DNRPzTOTPi1BnDUqcAFJXXHTI6xhvsAwAAQJw8fWgcPK45dUZJMlAAAAAAilJLXVVcd8mCGNNspAAAkE+ymYhPnDUjFs0cnjoFoOiU5bLxwUVTUmcAAABAUtUVuXjfyZNSZ5QsAwUAAACgaLXWV8W1l8yPkY3VqVMAAIiITCbio2dOjzPntKVOAShaB49tdkMNAAAAJe2tR42PoQ0DUmeULAMFAAAAoKgNbRgQ1126INoGeQAFAJBSJhPxD6dPi3PmjkidAlD03nvSpKipyKXOAAAAgH43dnBNvOGwMakzSpqBAgAAAFD0hg8cENddsiCGDzRSAABI5epFU+PceSNTZwCUhCENVfG2o8enzgAAAIB+98FXTo3ynCPyKfmnDwAAAJSEEY3Vcd0lC2JoQ1XqFACAkvP3p06OCxeMSp0BUFIuPnRMjGupTZ0BAAAA/eakaUPi0PHNqTNKnoECAAAAUDJGNlXHdy5dEMOMFAAA+s0HTp0crz3EleoA/a08l41/OH1aZDKpSwAAAKDv1VeVxftPmZI6gzBQAAAAAErMqKaa+O4bF8bwgQNSpwAAFLVMJuJDi6bE64wTAJKZN6YxXrNwdOoMAAAA6HN/d8rkGOJFdXnBQAEAAAAoOSMaq+O7b1wQIxqNFAAA+kImE/Hh06bGhQ7FAiR31QkdMbqpOnUGAAAA9JkjJw6Os+eOSJ3BHgYKAAAAQElqG1Qd37l0YYxySAMAoFdlMhEfPWNanD9/VOoUACJiQEUuPn7WjMhkUpcAAABA76uvKouPnDE9dQZ/wkABAAAAKFnDBw6I71y6IMY016ROAQAoCtlMxMfPnB6vOmhk6hQA/sS8MY3xGrfaAAAAUIT+7pTJMaShKnUGf8JAAQAAAChpQxt2jxTaBxspAAAciFw2E/94zgxXqQPkqatO6IjRbhEEAACgiBw5cbDnkXnIQAEAAAAoea31VfGdSxfE+Jba1CkAAAUpl83Ep141M06f1ZY6BYAXMaAiFx8/a0ZkMqlLAAAA4MDVV5XFR86YnjqDF2CgAAAAABARLXVVcd2lC6JjSF3qFACAglKey8RnXj0rXjljWOoUAF7GvDGN8ZqFo1NnAAAAwAH7u1Mmx5CGqtQZvAADBQAAAIA9mmsr47tvXBjzRjemTgEAKAg1Fbn419ccFCdPH5o6BYC9dNUJHTG6qTp1BgAAAOy3IycOjrPnjkidwYswUAAAAAD4Ew0DyuObr58Xx01uTZ0CAJDXmmoq4rpLF8QrJgxOnQLAPhhQkYuPnzUjMpnUJQAAALDv6qvK4qNnTk+dwUswUAAAAAD4C1XlufjiBXPi3HneugEA8ELaBg2I6y8/OKa3DUydAsB+mDemMV6zcHTqDAAAANhnf3fK5Gitr0qdwUswUAAAAAB4AblsJj5yxvR421HjUqcAAOSVSUPr498vPzjGNNekTgHgAFx1QkeMbqpOnQEAAAB77ciJg+PsuV4yl+8MFAAAAABewjuPmxgfWjQlspnUJQAA6c0f0xjffeOCaPGGMoCCN6AiFx8/a0Zk/LwLAABAAaivKouPnjk9dQZ7wUABAAAA4GVcuHB0fO682VFR5lEKAFC6Tpw6JL75+nlRX1WeOgWAXjJvTGO8ZuHo1BkAAADwsv7ulMnR6sUpBcFv1QEAAAD2wknThsY3Xjcv6irLUqcAAPS7CxaMjM+fNzsqy3KpUwDoZVed0BGjm6pTZwAAAMCLOnLi4Dh77ojUGewlAwUAAACAvbRwbFN8540LYnBdZeoUAIB+845jJsSHT5sW2WwmdQoAfWBARS4+ftaMyPjXPAAAAHmovqosPnrm9NQZ7AMDBQAAAIB9MGVYQ/z75Qd7uyQAUPRy2Uz8w+nT4opjxqdOAaCPzRvTGK89eHTqDAAAAPgr7z91SrTWV6XOYB8YKAAAAADsoxGN1XH95QfHtOENqVMAAPpEZVk2Pn/e7Dhv/sjUKQD0kyuP7zDGBwAAIK8c1dESZ81pS53BPjJQAAAAANgPzbWV8Z1LF8Rh45tTpwAA9Kq6qrL45sXz4oSpQ1KnANCPBlTk4uNnzYhMJnUJAAAARNRXlcVHzpiWOoP9YKAAAAAAsJ9qKsvia689KF45Y1jqFACAXtFaXxnfu2xhzG9vSp0CQALzxjTGaw8enToDAAAA4v2nTonW+qrUGewHAwUAAACAA1Cey8anXz0zLj5kTOoUAIAD0j64Jr5/+cHRMaQ+dQoACV15fEeMbqpOnQEAAEAJO6qjJc6a05Y6g/1koAAAAABwgDKZTLz/1Mlx1QkdqVMAAPbLjBED4/rLDo62QQ6kApS6ARW5+PhZMyKTSV0CAABAKaqvKouPnDEtdQYHwEABAAAAoJdcfsTY+Nx5s2JAeS51CgDAXjt5+tD4ziULorGmInUKAHli3pjGeO3Bo1NnAAAAUILef+qUaK2vSp3BATBQAAAAAOhFp0wfFt+7bGEMa/DQDADIb5lMxLuOmxCfP292DKgwsATgz115fEeMa6lNnQEAAEAJOW5ya5w1py11Bgco09PT05M6AgAAAKDYrNm8Iy675o74/bLnUqcAAPyV2sqy+KdzZsRxU4akTgEgjz347MZY9LnfxI7O7tQpAAAAFLnhAwfEj992WDRUl6dO4QC5QQEAAACgDzTXVsa1lyyIV80dkToFAODPjGysju9ffrBxAgAvq2NIfbz/1MmpMwAAAChyZdlMfObcmcYJRcJAAQAAAKCPVJRl42NnTY8PnDo5yrKZ1DkAAHHw2Ka48c2HxMQhdalTACgQ588fFSdPH5o6AwAAgCL2zuMmxJxRjakz6CWZnp6entQRAAAAAMXuN4+uiTdf+4dYv3VX6hQAoERdtHBUvP+UyVGW8/4qAPbNpu274uTP/DqeXLc1dQoAAABF5rDxzfHNi+dFJuOFb8XCQAEAAACgnzyxZktc8s3fxyOrNqdOAQBKSHkuEx985dQ4b/7I1CkAFLB7nl4fZ33x1tjZ1Z06BQAAgCLRUlcZP77isGiurUydQi/yihwAAACAfjK6uSZ+8OZD4uiOltQpAECJaKqpiG+/YYFxAgAHbHrbwLjyhImpMwAAACgS2UzEP79qpnFCETJQAAAAAOhHtZVl8dWL5sblR4xNnQIAFLlJQ+vjxrccEvPGNKZOAaBIvOGw9jhmktE9AAAAB+4tR46Lg8c1p86gD2R6enp6UkcAAAAAlKIb71oeV33/nti+qzt1CgBQZE6aNiQ+efaMqK4oS50CQJFZv3VnnPTpW2LFhu2pUwAAAChQ88Y0xnWXLIhcNpM6hT5goAAAAACQ0L1Pb4hLr/l9PONgBwDQCzKZiCuOHh9XHD0+Mhm/3AOgb9z+xLp49VcWR1e34wYAAADsm8aaivjx2w6LIQ1VqVPoI9nUAQAAAAClbFpbQ9z4lkNi9siBqVMAgAJXXZGLL54/O95+zATjBAD61EGjG+Mdx4xPnQEAAECByWQi/vHsGcYJRc5AAQAAACCxlrqquO7SBXHWnLbUKQBAgWobNCC+f/nBccLUoalTACgRbzpiXBw6rjl1BgAAAAXkDYeOiSM7WlJn0McyPT097lwEAAAAyBP/9pvH4yM/fjB2dnWnTgEACsRh45vj06+eFY01FalTACgxqzftiBM/fUus2bwjdQoAAAB5bsaIgXH9ZQujPOf9+sXOQAEAAAAgz9z79IZ4y3V/iGVrt6ZOAQDyWC6biXceOyHedMTYyGQyqXMAKFG/fmRNXPS126LbyQMAAABeRF1VWfz4bYfFiMbq1Cn0AxMUAAAAgDwzra0hfvjWQ+OU6UNTpwAAeWpYQ1V899IF8eYjxxknAJDUoeOb4/IjxqbOAAAAII997MzpxgklxA0KAAAAAHns2tuejKt/eH9s39WdOgUAyBPHTGqJT549IwZWV6ROAYCIiOjq7olXf+XWuP2J51KnAAAAkGcuWDAyPnzatNQZ9CMDBQAAAIA899Czm+LN1/4hHl21OXUKAJBQRS4bV53YEa8/dEzqFAD4K89s2BYnffqWeG7rrtQpAAAA5IlJQ+vjB286OKrKc6lT6EcGCgAAAAAFYNvOrnj/jffF9+54OnUKAJDAqKbq+Ny5s2NaW0PqFAB4UTc/sDLe8M3fp84AAAAgD1RX5OI/3npojB1cmzqFfpZNHQAAAADAyxtQkYtPnD0jPvWqGVFT4Q0jAFBKTpk+NH741kONEwDIe8dMbo2LD3HTDwAAABEfPm2qcUKJcoMCAAAAQIFZunpzvPnaO2PJMxtTpwAAfaiqPBvvP2VKnDd/ZOoUANhrOzu746wv/TbueXpD6hQAAAASOXN2W/zjOTNSZ5CIgQIAAABAAdrR2RUf/uGSuGbxstQpAEAfGNdSG58/b3ZMHFKXOgUA9tmTa7fGyZ+5JTbt6EydAgAAQD8bO7gm/uOth0Z1RVnqFBIxUAAAAAAoYD+575m48vp7YuN2hz4AoFicPactrl40NQZU5FKnAMB+++E9K+It196ZOgMAAIB+VFmWjRvfckh0DKlPnUJC2dQBAAAAAOy/E6YOjR+97bCYOWJg6hQA4ADVVOTiU6+aEZ84e4ZxAgAF75Tpw+K8+SNTZwAAANCP3n/qZOME3KAAAAAAUAx2dXXHJ376UHz1lqXhaQ8AFJ7JQ+vjc+fNivbBtalTAKDX7OzsjnO/ujjuWPZc6hQAAAD62LnzRsRHzpieOoM8YKAAAAAAUER++eCq+Jvv3R3rtuxMnQIA7KULF4yK950yKSrL3JoAQPFZvWlHLPrcr2PFhu2pUwAAAOgjB40eFNdesiDKc9nUKeQBAwUAAACAIrN604547w/ujZ89sDJ1CgDwEobUV8VHzpgWR3a0pE4BgD513/INcdaXfhvbd3WnTgEAAKCXDR84IG58yyHRXFuZOoU8YaAAAAAAUKRuvGt5fOCm+2P91l2pUwCAv3DWnLb4u1MmR8OA8tQpANAv/uPuFfHW6+5MnQEAAEAvGlCei+svXxhThjWkTiGPGCgAAAAAFDG3KQBAfnFrAgCl7BM/fTA+/8vHUmcAAADQCzKZiM+fNztOmjY0dQp5xkABAAAAoAS4TQEA0nNrAgClrqenJy755h1x8xIjegAAgEL3tqPGxTuPm5g6gzxkoAAAAABQItymAABpuDUBAP7X5h2dccYXfhMPr9ycOgUAAID9dNzk1vjyhXMik8mkTiEPGSgAAAAAlBi3KQBA/3FrAgD8tSfXbo1Xfv7Xfi4FAAAoQB1D6uL7lx8cNZVlqVPIUwYKAAAAACXIbQoA0LfcmgAAL+23j66Ji772u+jsdmQBAACgUAyqLo+b3nJojGisTp1CHjNQAAAAAChhblMAgN7n1gQA2Dvf+O0T8YGb7k+dAQAAwF4oy2bimtfPj4Vjm1KnkOcMFAAAAABK3KpN2+O9P7gvfu42BQA4IK31lfGRM6bFUR2tqVMAoGC859/viet+91TqDAAAAF7GhxZNiQsXjk6dQQEwUAAAAAAgIiJuuHN5/P1/uE0BAPaHWxMAYP/s6uqO8796W/zuiXWpUwAAAHgR588fGf/39GmpMygQBgoAAAAAPM9tCgCwb9yaAAAHbu3mHfHKz/0mlq/fljoFAACAvzBvTGN8+w3zozyXTZ1CgTBQAAAAAOCv3HjX8rj6Px6ItVt2pk4BgLyUyUScNbst3ufWBADoFQ+s2Bhnfem3sXVnV+oUAAAA9mgbNCBuesuh0VhTkTqFAmKgAAAAAMAL2rB1V3zyZw/Ft29bFt2eIAHA8yYPrY8PnTYl5oxqTJ0CAEXlx/c+E2++9g/hFAMAAEB61RW5+P7lB8ekofWpUygwBgoAAAAAvKT7lm+I9994X/zhyfWpUwAgqfqqsnjX8RPj/PmjIpfNpM4BgKL0Tz97KD7zi0dTZwAAAJS0TCbii+fPjhOmDk2dQgEyUAAAAADgZfX09MT1dzwdH/vJg7Fm887UOQDQrzKZiLNmt8W7T+yIptrK1DkAUNR6enrism/dET+9f2XqFAAAgJJ1xdHj4x3HTkidQYEyUAAAAABgr23Ytis+9fOH45rFy6Kr22MlAIrf1OH1cfWiqTF75KDUKQBQMrbu7IwzvvDbePDZTalTAAAASs6JU4fEF86fHZmMW2TZPwYKAAAAAOyzB1ZsjA/cdF/c/sRzqVMAoE80DCiPdx0/Mc6fNzKyWb+IA4D+9tS6rbHo87+JdVvc4gcAANBfJg2tj+9fvjCqK8pSp1DADBQAAAAA2G/fv+Pp+Mh/PhhrNu9InQIAvSKTiXjV3BFx5Qkd0VhTkToHAEra4qVr48J/vS12dTnWAAAA0NeaairixrccEm2DqlOnUOAMFAAAAAA4IBu374pP/fzh+Oaty6Kr26MmAArX9LaGuHrR1Jg5YmDqFABgj2sWL4u/u+G+1BkAAABFrTyXiW+9fn7Mb29KnUIRMFAAAAAAoFc8+OzGeP8N98fvnliXOgUA9snA6vL42+MnxrkHjYxsNpM6BwD4Cx+48b74xq3LUmcAAAAUrY+eMS1ePW9k6gyKhIECAAAAAL3qhjuXxz/8eEms2rQjdQoAvKRsJuJVB42MK4+fGINqKlLnAAAvoru7J95y3R/ix/c+mzoFAACg6LzjmAlxxTHjU2dQRAwUAAAAAOh1m3d0xj///OH4+m+fiM5uj58AyD8zRgyMDy2aEtPbBqZOAQD2wo7OrnjN134Xi5e6tQ8AAKC3XLhgVHzotKmpMygyBgoAAAAA9JmHV26K//ujJfHfD69OnQIAERHRWl8Z7zx2Qpwzd0RkMpnUOQDAPti0fVe86suL44FnNqZOAQAAKHgnTRsSnzt3dmSznpPSuwwUAAAAAOhztz62Nj72kwfjrqfWp04BoETVV5XF5UeMi9cdMjqqynOpcwCA/bRq0/Y484u/jafWbUudAgAAULAWtDfGNy6eF5VlnpXS+wwUAAAAAOg3P7nv2fjETx+Mx1ZvSZ0CQImoKs/Gaw8eE5cfPjYaqstT5wAAveCJNVvirC/9NtZs3pk6BQAAoOBMHlof333jgqir8ryUvmGgAAAAAEC/6uruie/f8XR86uaH45kN21PnAFCkyrKZOHtuW1xx9IQY0lCVOgcA6GX3Pr0hXv2VW2PLzq7UKQAAAAVjROOA+P7lB0dLnWem9B0DBQAAAACS2L6rK7556xPxhV89Fuu37kqdA0AROWnakPib4ybG2MG1qVMAgD50yyOr4+Kv3x67uhx7AAAAeDnNtRVx/WUHx+jmmtQpFDkDBQAAAACS2rh9V3z5vx+Lr/36idi2y5svAdh/B49tiqtO6IgZIwamTgEA+smNdy2Pt3/3rnDyAQAA4MXVVOTiO5cujGltDalTKAEGCgAAAADkhVUbt8en/+uR+O7tT0Vnt0dWAOy9qcPr46oTOuKw8YNTpwAACXzt14/H1T98IHUGAABAXirPZeJrrz3I81P6jYECAAAAAHnliTVb4pM/eyh+dO8z3oAJwEsa01wT7zx2QpwyfWhkMpnUOQBAQh/9zwfjS//9WOoMAACAvJLJRPzzq2bGopnDU6dQQgwUAAAAAMhL9y3fEB/7yYNxyyNrUqcAkGda6irjbUePj1cfNCLKctnUOQBAnnjX9+6O6+94OnUGAABA3nj/KZPj4kPHpM6gxBgoAAAAAJDXfvvomvjYTx+Ku59anzoFgMTqqsrissPHxsWHjIkBFbnUOQBAnuns6o5Lr7kjfvHgqtQpAAAAyV12+Nh494kdqTMoQQYKAAAAABSEn9z3bHz+l4/Gvcs3pE4BoJ/VVZXFRQtHxSWHtcfA6orUOQBAHtu2syvO/5fF8Ycn16dOAQAASOasOW3xybNnpM6gRBkoAAAAAFBQbnlkdXzhl4/FrUvXpk4BoI8NrquMiw8ZExcsGBl1VeWpcwCAArF+684460u3xqOrNqdOAQAA6HdHdbTEVy6cE2W5bOoUSpSBAgAAAAAF6c4nn4vP//Kx+K8HV4YnXADFZUTjgHjjK8bGWXPaoqo8lzoHAChAK9ZvizO/+Nt4ZsP21CkAAAD9ZvbIgfHtNyyIARWeq5KOgQIAAAAABe3hlZviS796LG66e0V0dnvUBVDIOobUxeVHjI1Tpg+LXDaTOgcAKHAPr9wUZ3/p1tiwbVfqFAAAgD43rqU2rr9sYQysrkidQokzUAAAAACgKDy1bmt89Zal8d3bn4odnd2pcwDYB3NGDYrLDx8bR09qiUzGMAEA6D2/f2JdXPCvt8X2XX5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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n1 = 0.005\n",
    "n2 = 0.05\n",
    "\n",
    "radius1 = np.sqrt(n1/np.pi) # area = pi * r * r\n",
    "radius2 = np.sqrt(n2/np.pi)\n",
    "random_radius = np.sqrt(n1*random.uniform(1,10)/np.pi)\n",
    "\n",
    "plt.axis('equal')\n",
    "plt.axis('off')\n",
    "circ1 = plt.Circle( (0,0),         radius1, clip_on=False )\n",
    "circ2 = plt.Circle( (4*radius2,0), radius2, clip_on=False )\n",
    "rand_circ = plt.Circle((2*radius2,0), random_radius, clip_on=False )\n",
    "\n",
    "plt.gca().add_artist(circ1)\n",
    "plt.gca().add_artist(circ2)\n",
    "plt.gca().add_artist(rand_circ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZImqzgzkdaW8"
   },
   "source": [
    "Let's have two lists for this experiment.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "ZjyTQRU0daW8"
   },
   "outputs": [],
   "source": [
    "perceived_area_list = []\n",
    "actual_area_list = []"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UwoojnFAdaW8"
   },
   "source": [
    "And define a function for the experiment. \n",
    "\n",
    "Note, if the input box does not appear for you try (1) switching to firefox, OR (2) removing the input line from the code and manually record the numbers in a cell, OR (3) adding a prompt to it like input(\"enter estimation\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "mDr43L1IdaW9"
   },
   "outputs": [],
   "source": [
    "def run_area_exp_once(n1=0.005, n2=0.05):    \n",
    "    radius1 = np.sqrt(n1/np.pi) # area = pi * r * r\n",
    "    radius2 = np.sqrt(n2/np.pi)\n",
    "    \n",
    "    mystery_number = random.uniform(1,10)\n",
    "    random_radius = np.sqrt(n1*mystery_number/math.pi)\n",
    "\n",
    "    plt.axis('equal')\n",
    "    plt.axis('off')\n",
    "    circ1 = plt.Circle( (0,0),         radius1, clip_on=False )\n",
    "    circ2 = plt.Circle( (4*radius2,0), radius2, clip_on=False )\n",
    "    rand_circ = plt.Circle((2*radius2,0), random_radius, clip_on=False )\n",
    "    plt.gca().add_artist(circ1)\n",
    "    plt.gca().add_artist(circ2)\n",
    "    plt.gca().add_artist(rand_circ)    \n",
    "    plt.show()\n",
    "    \n",
    "    perceived_area_list.append( float(input()) )\n",
    "    actual_area_list.append(mystery_number)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fGY8k8o8daW9"
   },
   "source": [
    "**Q5: Now you can run the experiment many times, plot the result, and fit a power-law curve to test the Stevens' power-law!** "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "71hJ-mdEdaW9"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11.55 x^0.24 + -10.48\n"
     ]
    },
    {
     "data": {
      "image/png": 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rV6pevXoKDw9XkyZNFBcXpxkzZig3N1erVq3SgAEDXOsUvE9z5sxxXb77RwXvZwG73S4/v9L9PXbs2DF17dpVoaGh+te//qWYmBgFBgZqw4YNGjt2rNvE0s6dO+v06dNau3atVq1a5QoscXFxWrVqlX744Qf99ttvHgkyRV21U9zO94+TkqWz75/NZlNqamqRPz+XX355obbDhw8rMjKyxPXVqFGjyDCdlZWlJUuWKCcnp8hAPG/ePE2ePNltLEWNNT8/Xz179tQ//vGPIl+/SZMmks6G4JtvvlldunTRjBkzFBkZqapVq2rWrFlFXmZdUHPNmjVLNlBYBkEGPi8mJkZ///vf9fe//107d+7UVVddpeeee04pKSkXva22bdtKOnuKRCp+B9GwYUNJZ2+mVdzVGX80cOBATZo0SQsXLtQVV1yhrKwsJSQkuJ6vVauWQkJClJeXV6LtXYqAgADFx8crPj5e+fn5euCBB/Tqq69q/PjxbuGrKAVHRP7oxx9/dE2wrV+/vqSzkzTP9cMPP6hmzZquy4UDAgLUvn17rVq1SvXq1XPb+efm5mru3Lk6cOCA2+TYmJgYSWcDWVm/T19++aUOHz6sRYsWudWQnp5eqG/79u0VEBCgVatWadWqVa6Jq126dNHrr7+uzz//3PX4QkpzRKB69epF3liu4AhZgZiYGBljFB0d7drhX8h9991X4j8KJKlZs2aaO3eunE6nHA6Hq33RokXKyclRcnJyobCwY8cOPfbYY1qzZo3rNGJxYmJidPz48Qt+/gsXLlRgYKDS0tJkt9td7bNmzSqyf8Hn2rx58/NuF9bDqSX4rJMnTxa6E2dMTIxCQkKUm5t73nULdiznKpjDUXBqpOAql3N3EuHh4br++uv16quvukLPH51707DmzZurVatWmj9/vubPn6/IyEi3nZq/v79uu+02LVy4sMjLmUtyE7KSOHz4sNtjPz8/15GeC71nkvT++++75v5I0rp16/TNN9+oT58+kqTIyEhdddVVevPNN93es61bt+rTTz9V37593bYXFxenb775Rl988YUryNSsWVPNmzd3XVX1x6MYvXr1UmhoqJ566imdPn26UH2eep+k/zvi9ccjXKdOnSryVvaBgYFq166d3n77be3du9ctlP3+++968cUXFRMTU6IjG8HBwRd9t9uYmBg5nU59//33rraMjAwtXrzYrd+tt94qf39/TZo0qdCRO2NMoZ8P6eycnO7du5e4lg4dOsgYo++++86tPSUlRQ0bNtT999+vP/3pT27LmDFjdPnllxd5eulcd9xxh9auXau0tLRCzx07dkxnzpyRdPbzs9lsbkeldu/erffff7/I7RZc/t+hQ4cSjxXWwBEZ+Kwff/xR3bt31x133KEWLVqoSpUqWrx4sQ4cOOB2tKMo/fv3V3R0tOLj4xUTE6MTJ07os88+05IlS9SuXTvFx8dLOntou0WLFpo/f76aNGmisLAwxcbGKjY2Vq+88oo6d+6sVq1a6d5771XDhg114MABrV27Vr/88kuh27kPHDhQjz/+uAIDAzVixIhCpzymTp2qL774Qtdee63uvfdetWjRQkeOHNGGDRv02WefeeT+Fvfcc4+OHDmibt26qU6dOtqzZ49eeuklXXXVVSX6S7RRo0bq3LmzRo4cqdzcXE2fPl01atRwO8z/zDPPqE+fPurQoYNGjBjhuvza4XC43YNHOrujnzx5svbt2+cWWLp06aJXX31VDRo0cJvjEhoaquTkZP35z39WmzZtlJCQoFq1amnv3r36+OOP1alTJ7388suX/D5JUseOHVW9enUNHTpUo0aNks1m05w5c4o9dRcXF6epU6fK4XCoVatWks4G3qZNm2rHjh0aNmxYiV73mmuuUXJysp588kk1atRI4eHhrrlUxUlISNDYsWM1YMAAjRo1ynVJepMmTdwmtsbExOjJJ59UUlKSdu/erVtuuUUhISFKT0/X4sWLdd9992nMmDFu227evLmGDh1a4rsNd+7cWTVq1NBnn33mqnv//v364osvNGrUqCLXsdvt6tWrlxYsWKAXX3xRVatWLXb7jzzyiD788EPddNNNGjZsmK655hqdOHFCW7Zs0Xvvvafdu3erZs2a6tevn55//nn17t1bd955pw4ePKhXXnlFjRo1cgt8BZYtW6ZOnTqpRo0aJRonLMQbl0oBRTn38utDhw6ZxMRE06xZMxMcHGwcDoe59tprzbvvvnvBbb399tsmISHBxMTEmKCgIBMYGGhatGhhHn30UZOVleXW96uvvjLXXHONCQgIKHQp9k8//WTuuusuExERYapWrWpq165tbrrpJvPee+8Ves2dO3caSUaSWb16dZF1HThwwCQmJpq6deuaqlWrmoiICNO9e3fz2muvufoUXH69YMECt3ULLpGeNWtWseN+7733zI033mjCw8NNQECAqVevnvnLX/5iMjIyzvt+FWz7mWeeMc8995ypW7eusdvtJi4uzmzevLlQ/88++8x06tTJBAUFmdDQUBMfH2+2b99eqF9WVpbx9/c3ISEhbpcUp6SkGEnmz3/+c5H1fPHFF6ZXr17G4XCYwMBAExMTY4YNG2a+/fZbV5+hQ4ea4ODg847rj4q6/HrNmjXmuuuuM0FBQSYqKsr84x//MGlpaUaS+eKLL9zW//jjj40k06dPH7f2e+65x0gyM2fOLFEdmZmZpl+/fiYkJMRIcl2Kfe7P/7k+/fRTExsbawICAkzTpk1NSkpKocuvCyxcuNB07tzZBAcHm+DgYNOsWTOTmJhoduzYUaivJDN06NAS1V5g1KhRplGjRq7Hzz33nJFkPv/882LXmT17ttul9vXr1zf9+vUrsm92drZJSkoyjRo1MgEBAaZmzZqmY8eO5tlnnzWnTp1y9Zs5c6Zp3LixsdvtplmzZmbWrFlFvifHjh0zAQEB5o033rioccIabMacZ+YggEph9+7dio6O1jPPPFPoL3bgXD///LOaNWum1NTUizot5S3Tp0/X008/rZ9++qlMvgIB3sUcGQDARWnYsKFGjBihqVOneruUCzp9+rSef/55PfbYY4SYCoo5MgCAi5acnOztEkqkatWq2rt3r7fLQBniiAwAALAs5sgAAADL4ogMAACwLIIMAACwrAo/2Tc/P1/79+9XSEgIXxYGAIBFGGOUnZ2tqKio836nWoUPMvv371fdunW9XQYAACiFffv2nfdb7it8kAkJCZF09o0IDQ31cjUAAKAksrKyVLduXdd+vDgVPsgUnE4KDQ0lyAAAYDEXmhbCZF8AAGBZBBkAAGBZBBkAAGBZBBkAAGBZBBkAAGBZBBkAAGBZBBkAAGBZBBkAAGBZBBkAAGBZFf7OvgAAwPPy8o3WpR/RwewchYcEqn10mPz9yv/Lmb16RGblypWKj49XVFSUbDab3n//fbfnjTF6/PHHFRkZqaCgIPXo0UM7d+70TrEAAECStHRrhjpPW65Br3+t0e9s0qDXv1bnacu1dGtGudfi1SBz4sQJXXnllXrllVeKfP7pp5/Wiy++qP/85z/65ptvFBwcrF69eiknJ6ecKwUAANLZEDMyZYMynO774kxnjkambCj3MGMzxphyfcVi2Gw2LV68WLfccouks0djoqKi9Pe//11jxoyRJDmdTl1xxRWaPXu2EhISSrTdrKwsORwOOZ1OvjQSAIBLkJdv1Hna8kIhpoBNUoQjUKvHdrvk00wl3X/77GTf9PR0ZWZmqkePHq42h8Oha6+9VmvXri12vdzcXGVlZbktAADg0q1LP1JsiJEkIynDmaN16UfKrSafDTKZmZmSpCuuuMKt/YorrnA9V5QpU6bI4XC4lrp165ZpnQAAVBYHs0s2taOk/TzBZ4NMaSUlJcnpdLqWffv2ebskAAAqhPCQQI/28wSfDTIRERGSpAMHDri1HzhwwPVcUex2u0JDQ90WAABw6dpHhynSEajiZr/YJEU6zl6KXV58NshER0crIiJCn3/+uastKytL33zzjTp06ODFygAAqJz8/WyaEN9CkgqFmYLHE+JblOv9ZLwaZI4fP65NmzZp06ZNks5O8N20aZP27t0rm82mBx98UE8++aQ+/PBDbdmyRXfddZeioqJcVzYBAIDy1Ts2UslD2ijC4X76KMIRqOQhbdQ7NrJc6/Hq5ddffvmlbrjhhkLtQ4cO1ezZs2WM0YQJE/Taa6/p2LFj6ty5s2bMmKEmTZqU+DW4/BoAAM8r6zv7lnT/7TP3kSkrBBkAAKzH8veRAQAAuBCCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsKwq3i4AAAAUlpdvtC79iA5m56jm5XbJSIdO5Co8JFDto8Pk72fzdok+weeDTHZ2tsaPH6/Fixfr4MGDuvrqq/XCCy+oXbt23i4NAIAysXRrhiYt2a4MZ06Rz0c6AjUhvoV6x0aWc2W+x+dPLd1zzz1atmyZ5syZoy1btujGG29Ujx499Ouvv3q7NAAAPG7p1gyNTNlQbIiRpExnjkambNDSrRnlWJlvshljjLeLKM7vv/+ukJAQffDBB+rXr5+r/ZprrlGfPn305JNPXnAbWVlZcjgccjqdCg0NLctyAQC4JHn5Rp2nLT9viClgkxThCNTqsd0q5Gmmku6/ffqIzJkzZ5SXl6fAwEC39qCgIK1evbrIdXJzc5WVleW2AABgBevSj5QoxEiSkZThzNG69CNlW5SP8+kgExISog4dOuiJJ57Q/v37lZeXp5SUFK1du1YZGUUfTpsyZYocDodrqVu3bjlXDQBA6RzMLlmIudR1KhKfDjKSNGfOHBljVLt2bdntdr344osaNGiQ/PyKLj0pKUlOp9O17Nu3r5wrBgCgdMJDAi/cyQPrVCQ+H2RiYmK0YsUKHT9+XPv27dO6det0+vRpNWzYsMj+drtdoaGhbgsAAFbQPjpMkY5AlWTGi01nr15qHx1W1mX5NJ8PMgWCg4MVGRmpo0ePKi0tTf379/d2SQAAeJS/n00T4ltI0nnDTMFzE+JbVMiJvhfD54NMWlqali5dqvT0dC1btkw33HCDmjVrprvvvtvbpQEA4HG9YyOVPKSNIhzFnzKKcAQqeUgb7iMjC9wQz+l0KikpSb/88ovCwsJ02223afLkyapataq3SwMAoEz0jo1UzxYR3Nm3BHz6PjKewH1kAACwngpxHxkAAIDzIcgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLIsgAAADLquLtAgD4prx8o3XpR3QwO0fhIYFqHx0mfz+bt8sCfA6/K97l00EmLy9PEydOVEpKijIzMxUVFaVhw4bpsccek83GDwlQVpZuzdCkJduV4cxxtUU6AjUhvoV6x0Z6sTLAt/C74n0+fWpp2rRpSk5O1ssvv6z//e9/mjZtmp5++mm99NJL3i4NqLCWbs3QyJQNbv8xS1KmM0cjUzZo6dYML1UG+BZ+V3yDTweZr776Sv3791e/fv3UoEED/elPf9KNN96odevWebs0oELKyzeatGS7TBHPFbRNWrJdeflF9QAqD35XfIdPB5mOHTvq888/148//ihJ2rx5s1avXq0+ffoUu05ubq6ysrLcFgAlsy79SKG/Lv/ISMpw5mhd+pHyKwrwQfyu+A6fniMzbtw4ZWVlqVmzZvL391deXp4mT56swYMHF7vOlClTNGnSpHKsEqg4DmYX/x9zafoBFRW/K77Dp4/IvPvuu5o7d67mzZunDRs26M0339Szzz6rN998s9h1kpKS5HQ6Xcu+ffvKsWLA2sJDAj3aD6io+F3xHT59ROaRRx7RuHHjlJCQIElq1aqV9uzZoylTpmjo0KFFrmO322W328uzTKDCaB8dpkhHoDKdOUWe+7dJinCcvbwUqMz4XfEdPn1E5uTJk/Lzcy/R399f+fn5XqoIqNj8/WyaEN9C0tn/iP+o4PGE+BbcIwOVHr8rvsOng0x8fLwmT56sjz/+WLt379bixYv1/PPPa8CAAd4uDaiwesdGKnlIG0U43A+JRzgClTykDffGAP4/fld8g80Y47PXhmVnZ2v8+PFavHixDh48qKioKA0aNEiPP/64AgICSrSNrKwsORwOOZ1OhYaGlnHFQMXB3UqBkuF3pWyUdP/t00HGEwgyAABYT0n33z59agkAAOB8CDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyqni7AACwkrx8o3XpR3QwO0fhIYFqHx0mfz+bt8sCKi2fDzINGjTQnj17CrU/8MADeuWVV7xQEYDKaunWDE1asl0ZzhxXW6QjUBPiW6h3bKQXKwMqL58/tbR+/XplZGS4lmXLlkmSbr/9di9XBqAyWbo1QyNTNriFGEnKdOZoZMoGLd2a4aXKgMrN54NMrVq1FBER4Vo++ugjxcTEqGvXrt4uDUAlkZdvNGnJdpkinitom7Rku/Lyi+oBoCz5fJD5o1OnTiklJUXDhw+XzVb0Oenc3FxlZWW5LQBwKdalHyl0JOaPjKQMZ47WpR8pv6IASLJYkHn//fd17NgxDRs2rNg+U6ZMkcPhcC1169YtvwIBVEgHs4sPMaXpB8BzLBVkZs6cqT59+igqKqrYPklJSXI6na5l37595VghgIooPCTQo/0AeI7PX7VUYM+ePfrss8+0aNGi8/az2+2y2+3lVBWAyqB9dJgiHYHKdOYUOU/GJinCcfZSbADlyzJHZGbNmqXw8HD169fP26UAqGT8/WyaEN9C0tnQ8kcFjyfEt+B+MoAXWCLI5Ofna9asWRo6dKiqVLHMQSQAFUjv2EglD2mjCIf76aMIR6CSh7ThPjKAl1giFXz22Wfau3evhg8f7u1SAFRivWMj1bNFBHf2BXyIJYLMjTfeKGO4PwMA7/P3s6lDTA1vlwHg/7PEqSUAAICiEGQAAIBlEWQAAIBlEWQAAIBlEWQAAIBllfiqpe+//77EG23dunWpigEAALgYJQ4yV111lWw2m4wxxX7zdIG8vLxLLgwAAOBCSnxqKT09XT///LPS09O1cOFCRUdHa8aMGdq4caM2btyoGTNmKCYmRgsXLizLegEAAFxKfESmfv36rn/ffvvtevHFF9W3b19XW+vWrVW3bl2NHz9et9xyi0eLBAAAKEqpJvtu2bJF0dHRhdqjo6O1ffv2Sy4KAACgJEoVZJo3b64pU6bo1KlTrrZTp05pypQpat68uceKAwAAOJ9SfdfSf/7zH8XHx6tOnTquK5S+//572Ww2LVmyxKMFAgAAFMdmSvltjCdOnNDcuXP1ww8/SDp7lObOO+9UcHCwRwu8VFlZWXI4HHI6nQoNDfV2OQAAoARKuv8u9bdfBwcH67777ivt6gAAAJes1Hf2nTNnjjp37qyoqCjt2bNHkvTvf/9bH3zwgceKAwAAOJ9SBZnk5GQ9/PDD6tOnj44ePeq6AV716tU1ffp0T9YHAABQrFIFmZdeekmvv/66Hn30UVWp8n9np9q2bastW7Z4rDgAAIDzKVWQSU9P19VXX12o3W6368SJE5dcFAAAQEmUKshER0dr06ZNhdqXLl3KfWQAAEC5KdVVSw8//LASExOVk5MjY4zWrVunt99+W1OmTNEbb7zh6RoBAACKVKogc8899ygoKEiPPfaYTp48qTvvvFNRUVF64YUXlJCQ4OkaAQAAilTqG+IVOHnypI4fP67w8HBP1eRR3BAPAADrKen+u1RzZJ588kmlp6dLki677DKfDTEAAKBiK1WQWbBggRo1aqSOHTtqxowZOnTokKfrAgAAuKBSBZnNmzfr+++/1/XXX69nn31WUVFR6tevn+bNm6eTJ096ukYAAIAiXfIcGUlas2aN5s2bpwULFignJ0dZWVmeqM0jmCMDAID1lOkcmXMFBwcrKChIAQEBOn36tCc2CQAAcEGlDjLp6emaPHmyWrZsqbZt22rjxo2aNGmSMjMzPVkfAABAsUp1H5nrrrtO69evV+vWrXX33Xdr0KBBql27tqdrAwAAOK9SBZnu3bvrv//9r1q0aOHpegAAAErMI5N9fRmTfQHPyMs3+vrnw1r702FJRh0a1tR1MTXk72fzdmkAKqCS7r9LfETm4Ycf1hNPPKHg4GA9/PDD5+37/PPPl7zSC/j11181duxYpaam6uTJk2rUqJFmzZqltm3beuw1AJzf0q0ZGrdoi46d/L/J/C9/8ZOqXVZVU29tpd6xkV6sDkBlVuIgs3HjRtcVSRs3biy2n83mub/Ojh49qk6dOumGG25QamqqatWqpZ07d6p69eoeew0A57d0a4buT9lQ5HPHTp7W/Skb9J8hbQgzALzCp08tjRs3TmvWrNGqVatKvQ1OLQGll5dv1GnqcmVm5Zy3X0SoXWvGdec0EwCPKZf7yOzatUtpaWn6/fffJUmezkQffvih2rZtq9tvv13h4eG6+uqr9frrr593ndzcXGVlZbktAEpnXfqRC4YYScrMytW69CPlUBEAuCtVkDl8+LC6d++uJk2aqG/fvsrIyJAkjRgxQn//+989VtzPP/+s5ORkNW7cWGlpaRo5cqRGjRqlN998s9h1pkyZIofD4Vrq1q3rsXqAyuZg9oVDTGn6AoCnlCrIPPTQQ6patar27t2ryy67zNU+cOBALV261GPF5efnq02bNnrqqad09dVX67777tO9996r//znP8Wuk5SUJKfT6Vr27dvnsXqAyiY8JLBM+gKAp5TqPjKffvqp0tLSVKdOHbf2xo0ba8+ePR4pTJIiIyML3aumefPmWrhwYbHr2O122e12j9UAVGbto8MUERpYojky7aPDyqkqAPg/pToic+LECbcjMQWOHDni0RDRqVMn7dixw63txx9/VP369T32GgCK5+9n08SbL3zjy4k3t2SiLwCvKFWQiYuL01tvveV6bLPZlJ+fr6efflo33HCDx4p76KGH9PXXX+upp57Srl27NG/ePL322mtKTEz02GsAOL/esZH6z5A2qnZZ1ULPVbusKpdeA/CqUl1+vXXrVnXv3l1t2rTR8uXLdfPNN2vbtm06cuSI1qxZo5iYGI8V+NFHHykpKUk7d+5UdHS0Hn74Yd17770lXp/LrwHP4M6+AMpTSfffpb6PjNPp1Msvv6zNmzfr+PHjatOmjRITExUZ6Vt/mRFkAACwnjIPMlZBkAEAwHrK9IZ4s2bN0oIFCwq1L1iw4Lz3eAEAAPCkUgWZKVOmqGbNmoXaw8PD9dRTT11yUQAAACVRqiCzd+9eRUdHF2qvX7++9u7de8lFAQAAlESpgkx4eLi+//77Qu2bN29WjRo1LrkoAACAkihVkBk0aJBGjRqlL774Qnl5ecrLy9Py5cs1evRoJSQkeLpGAACAIpXqKwqeeOIJ7d69W927d1eVKmc3kZ+fr7vuuos5MgAAoNxc9OXXxhjt27dPtWrV0i+//KJNmzYpKChIrVq18smvDuDyawAArKek+++LPiJjjFGjRo20bds2NW7cWI0bN76kQgEAAErroufI+Pn5qXHjxjp8+HBZ1AMAAFBipZrsO3XqVD3yyCPaunWrp+sBAAAosVJ9RUH16tV18uRJnTlzRgEBAQoKCnJ7/siRIx4r8FIxRwYAAOspszkykjR9+vTS1gUAAOAxpQoyQ4cO9XQdAAAAF61Uc2Qk6aefftJjjz2mQYMG6eDBg5Kk1NRUbdu2zWPFAQAAnE+pgsyKFSvUqlUrffPNN1q0aJGOHz8u6exXFEyYMMGjBQIAABSnVEFm3LhxevLJJ7Vs2TIFBAS42rt166avv/7aY8UBAACcT6mCzJYtWzRgwIBC7eHh4Tp06NAlFwUAAFASpQoy1apVU0ZGRqH2jRs3qnbt2pdcFAAAQEmUKsgkJCRo7NixyszMlM1mU35+vtasWaMxY8borrvu8nSNAAAARSpVkHnqqafUvHlz1atXT8ePH1eLFi3UpUsXdezYUY899pinawQAACjSRd1HJj8/X88884w+/PBDnTp1Sn/+859122236fjx47r66qv5AkkAAFCuLirITJ48WRMnTlSPHj0UFBSkefPmyRij//73v2VVHwAAQLEu6tTSW2+9pRkzZigtLU3vv/++lixZorlz5yo/P7+s6gMAACjWRQWZvXv3qm/fvq7HPXr0kM1m0/79+z1eGAAAwIVcVJA5c+aMAgMD3dqqVq2q06dPe7QoAACAkrioOTLGGA0bNkx2u93VlpOTo/vvv1/BwcGutkWLFnmuQgAAgGJcVJAp6luvhwwZ4rFiAAAALsZFBZlZs2aVVR0AAAAXrVQ3xAMAAPAFF3VEBpVbXr7RuvQjOpido/CQQLWPDpO/n83bZXlUZRijVHnGCaDi8+kgM3HiRE2aNMmtrWnTpvrhhx+8VFHltXRrhiYt2a4MZ46rLdIRqAnxLdQ7NtKLlXlOZRijVHnGCaBy8PlTSy1btlRGRoZrWb16tbdLqnSWbs3QyJQNbjs+Scp05mhkygYt3Vr4m9CtpjKMUao84wRQefh8kKlSpYoiIiJcS82aNb1dUqWSl280acl2mSKeK2ibtGS78vKL6mENlWGMUuUZJ4DKxeeDzM6dOxUVFaWGDRtq8ODB2rt373n75+bmKisry21B6a1LP1Lor/c/MpIynDlal36k/IrysMowRqnyjBNA5eLTQebaa6/V7NmztXTpUiUnJys9PV1xcXHKzs4udp0pU6bI4XC4lrp165ZjxRXPwezid3yl6eeLKsMYpcozTgCVi08HmT59+uj2229X69at1atXL33yySc6duyY3n333WLXSUpKktPpdC379u0rx4ornvCQwAt3uoh+vqgyjFGqPOMEULn49FVL56pWrZqaNGmiXbt2FdvHbre7fYUCLk376DBFOgKV6cwpcm6FTVKE4+zlu1ZVGcYoVZ5xAqhcfPqIzLmOHz+un376SZGRXCJaXvz9bJoQ30LS2R3dHxU8nhDfwtL3IKkMY5QqzzgBVC4+HWTGjBmjFStWaPfu3frqq680YMAA+fv7a9CgQd4urVLpHRup5CFtFOFwP+UQ4QhU8pA2FeLeI5VhjFLlGSeAysNmjPHZay0TEhK0cuVKHT58WLVq1VLnzp01efJkxcTElHgbWVlZcjgccjqdCg0NLcNqK77KcDfYyjBGqfKME4B1lXT/7dNBxhMIMgAAWE9J998+fWoJAADgfAgyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsqp4uwBYS16+0br0IzqYnaPwkEC1jw6Tv5/tgs8BAFAWLBVkpk6dqqSkJI0ePVrTp0/3djmVztKtGZq0ZLsynDmutkhHoCbEt5CkYp/rHRtZ7rUCACoHywSZ9evX69VXX1Xr1q29XUqltHRrhkambJA5pz3TmaP7UzYUuU6mM0cjUzYoeUgbwgwAoExYYo7M8ePHNXjwYL3++uuqXr26t8updPLyjSYt2V4oxEgqsu3c5yYt2a68/PP1BACgdCwRZBITE9WvXz/16NHjgn1zc3OVlZXltuDSrEs/4nbK6GIYSRnOHK1LP+LZogAAkAVOLb3zzjvasGGD1q9fX6L+U6ZM0aRJk8q4qsrlYHbpQoyntwEAwLl8+ojMvn37NHr0aM2dO1eBgYElWicpKUlOp9O17Nu3r4yrrPjCQ0r23pf1NgAAOJdPH5H57rvvdPDgQbVp08bVlpeXp5UrV+rll19Wbm6u/P393dax2+2y2+3lXWqF1j46TJGOQGU6c847J6YoNkkRjrOXYgMA4Gk+fUSme/fu2rJlizZt2uRa2rZtq8GDB2vTpk2FQgzKhr+fzXWJ9bl3hbEV8+8/Pp4Q34L7yQAAyoRPH5EJCQlRbGysW1twcLBq1KhRqB1lq3dspJKHtCl0r5iI89xHJoL7yAAAyphPBxn4lt6xkerZIqLYu/ee7zkAAMqCzRhToW/wkZWVJYfDIafTqdDQUG+XAwAASqCk+2+fniMDAABwPgQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWT4dZJKTk9W6dWuFhoYqNDRUHTp0UGpqqrfLAgAAPsKng0ydOnU0depUfffdd/r222/VrVs39e/fX9u2bfN2aQAAwAfYjDHG20VcjLCwMD3zzDMaMWJEifpnZWXJ4XDI6XQqNDS0jKsDAACeUNL9d5VyrOmS5OXlacGCBTpx4oQ6dOhQbL/c3Fzl5ua6HmdlZZVHeQAAwAt8+tSSJG3ZskWXX3657Ha77r//fi1evFgtWrQotv+UKVPkcDhcS926dcuxWgAAUJ58/tTSqVOntHfvXjmdTr333nt64403tGLFimLDTFFHZOrWrcupJQAALKSkp5Z8Psicq0ePHoqJidGrr75aov7MkQEAwHpKuv/2+VNL58rPz3c74gIAACovn57sm5SUpD59+qhevXrKzs7WvHnz9OWXXyotLc3bpQEAAB/g00Hm4MGDuuuuu5SRkSGHw6HWrVsrLS1NPXv29HZpAADAB/h0kJk5c6a3SwAAAD7McnNkAAAAChBkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZVXxdgFWlJdvtC79iA5m56jm5XbJSIdO5Co8JFDto8Pk72fzdokAAFQKPh1kpkyZokWLFumHH35QUFCQOnbsqGnTpqlp06Zeq2np1gxNWrJdGc6cIp+PdARqQnwL9Y6NLOfKAACofHz61NKKFSuUmJior7/+WsuWLdPp06d144036sSJE16pZ+nWDI1M2VBsiJGkTGeORqZs0NKtGeVYGQAAlZPNGGO8XURJ/fbbbwoPD9eKFSvUpUuXEq2TlZUlh8Mhp9Op0NDQUr92Xr5R52nLzxtiCtgkRTgCtXpsN04zAQBQCiXdf/v0EZlzOZ1OSVJYWFixfXJzc5WVleW2eMK69CMlCjGSZCRlOHO0Lv2IR14bAAAUzTJBJj8/Xw8++KA6deqk2NjYYvtNmTJFDofDtdStW9cjr38wu2Qh5lLXAQAAJWeZIJOYmKitW7fqnXfeOW+/pKQkOZ1O17Jv3z6PvH54SGC5rAMAAErOp69aKvDXv/5VH330kVauXKk6deqct6/dbpfdbvd4De2jwxTpCFSmM0cXmlRUMEemfXTxp8AAAMCl8+kjMsYY/fWvf9XixYu1fPlyRUdHe60Wfz+bJsS3kHQ2qBSn4LkJ8S2Y6AsAQBnz6SCTmJiolJQUzZs3TyEhIcrMzFRmZqZ+//13r9TTOzZSyUPaKMJR/CmjCEegkoe04T4yAACUA5++/NpmK/qIxqxZszRs2LASbcNTl1//EXf2BQCgbJV0/+3Tc2R8NWP5+9nUIaaGt8sAAKDS8+lTSwAAAOdDkAEAAJZFkAEAAJZFkAEAAJZFkAEAAJZFkAEAAJZFkAEAAJZFkAEAAJZFkAEAAJbl03f29YSCuwNnZWV5uRIAAFBSBfvtC93lv8IHmezsbElS3bp1vVwJAAC4WNnZ2XI4HMU+79NfGukJ+fn52r9/v0JCQor9EkorysrKUt26dbVv3z6PfRmmL2KcFUdlGKPEOCuSyjBGyXfHaYxRdna2oqKi5OdX/EyYCn9Exs/PT3Xq1PF2GWUmNDTUp37wygrjrDgqwxglxlmRVIYxSr45zvMdiSnAZF8AAGBZBBkAAGBZBBmLstvtmjBhgux2u7dLKVOMs+KoDGOUGGdFUhnGKFl/nBV+si8AAKi4OCIDAAAsiyADAAAsiyADAAAsiyADAAAsiyBjMVOmTFG7du0UEhKi8PBw3XLLLdqxY4e3y/K45ORktW7d2nWDpg4dOig1NdXbZZWpqVOnymaz6cEHH/R2KR41ceJE2Ww2t6VZs2beLqtM/PrrrxoyZIhq1KihoKAgtWrVSt9++623y/KYBg0aFPosbTabEhMTvV2aR+Xl5Wn8+PGKjo5WUFCQYmJi9MQTT1zwO3+sJjs7Ww8++KDq16+voKAgdezYUevXr/d2WRetwt/Zt6JZsWKFEhMT1a5dO505c0b//Oc/deONN2r79u0KDg72dnkeU6dOHU2dOlWNGzeWMUZvvvmm+vfvr40bN6ply5beLs/j1q9fr1dffVWtW7f2dillomXLlvrss89cj6tUqXj/9Rw9elSdOnXSDTfcoNTUVNWqVUs7d+5U9erVvV2ax6xfv155eXmux1u3blXPnj11++23e7Eqz5s2bZqSk5P15ptvqmXLlvr222919913y+FwaNSoUd4uz2Puuecebd26VXPmzFFUVJRSUlLUo0cPbd++XbVr1/Z2eSVnYGkHDx40ksyKFSu8XUqZq169unnjjTe8XYbHZWdnm8aNG5tly5aZrl27mtGjR3u7JI+aMGGCufLKK71dRpkbO3as6dy5s7fLKFejR482MTExJj8/39uleFS/fv3M8OHD3dpuvfVWM3jwYC9V5HknT540/v7+5qOPPnJrb9OmjXn00Ue9VFXpcGrJ4pxOpyQpLCzMy5WUnby8PL3zzjs6ceKEOnTo4O1yPC4xMVH9+vVTjx49vF1Kmdm5c6eioqLUsGFDDR48WHv37vV2SR734Ycfqm3btrr99tsVHh6uq6++Wq+//rq3yyozp06dUkpKioYPH16hvpBXkjp27KjPP/9cP/74oyRp8+bNWr16tfr06ePlyjznzJkzysvLU2BgoFt7UFCQVq9e7aWqSsnbSQqll5eXZ/r162c6derk7VLKxPfff2+Cg4ONv7+/cTgc5uOPP/Z2SR739ttvm9jYWPP7778bY0yFPCLzySefmHfffdds3rzZLF261HTo0MHUq1fPZGVlebs0j7Lb7cZut5ukpCSzYcMG8+qrr5rAwEAze/Zsb5dWJubPn2/8/f3Nr7/+6u1SPC4vL8+MHTvW2Gw2U6VKFWOz2cxTTz3l7bI8rkOHDqZr167m119/NWfOnDFz5swxfn5+pkmTJt4u7aIQZCzs/vvvN/Xr1zf79u3zdillIjc31+zcudN8++23Zty4caZmzZpm27Zt3i7LY/bu3WvCw8PN5s2bXW0VMcic6+jRoyY0NLTCnSasWrWq6dChg1vb3/72N3Pdddd5qaKydeONN5qbbrrJ22WUibffftvUqVPHvP322+b77783b731lgkLC6twoXTXrl2mS5cuRpLx9/c37dq1M4MHDzbNmjXzdmkXhSBjUYmJiaZOnTrm559/9nYp5aZ79+7mvvvu83YZHrN48WLXfyAFiyRjs9mMv7+/OXPmjLdLLDNt27Y148aN83YZHlWvXj0zYsQIt7YZM2aYqKgoL1VUdnbv3m38/PzM+++/7+1SykSdOnXMyy+/7Nb2xBNPmKZNm3qporJ1/Phxs3//fmOMMXfccYfp27evlyu6OMyRsRhjjP76179q8eLFWr58uaKjo71dUrnJz89Xbm6ut8vwmO7du2vLli3atGmTa2nbtq0GDx6sTZs2yd/f39sllonjx4/rp59+UmRkpLdL8ahOnToVuhXCjz/+qPr163uporIza9YshYeHq1+/ft4upUycPHlSfn7uu0d/f3/l5+d7qaKyFRwcrMjISB09elRpaWnq37+/t0u6KBXvGsgKLjExUfPmzdMHH3ygkJAQZWZmSpIcDoeCgoK8XJ3nJCUlqU+fPqpXr56ys7M1b948ffnll0pLS/N2aR4TEhKi2NhYt7bg4GDVqFGjULuVjRkzRvHx8apfv77279+vCRMmyN/fX4MGDfJ2aR710EMPqWPHjnrqqad0xx13aN26dXrttdf02muvebs0j8rPz9esWbM0dOjQCnkZvSTFx8dr8uTJqlevnlq2bKmNGzfq+eef1/Dhw71dmkelpaXJGKOmTZtq165deuSRR9SsWTPdfffd3i7t4nj7kBAujqQil1mzZnm7NI8aPny4qV+/vgkICDC1atUy3bt3N59++qm3yypzFXGOzMCBA01kZKQJCAgwtWvXNgMHDjS7du3ydlllYsmSJSY2NtbY7XbTrFkz89prr3m7JI9LS0szksyOHTu8XUqZycrKMqNHjzb16tUzgYGBpmHDhubRRx81ubm53i7No+bPn28aNmxoAgICTEREhElMTDTHjh3zdlkXzWZMBbtVIQAAqDSYIwMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAkmw2m95//31vlwHgIhFkAJS7tWvXyt/f/6K/q6dBgwaaPn162RQFwJIIMgDK3cyZM/W3v/1NK1eu1P79+71dDgALI8gAKFfHjx/X/PnzNXLkSPXr10+zZ892e37JkiVq166dAgMDVbNmTQ0YMECSdP3112vPnj166KGHZLPZZLPZJEkTJ07UVVdd5baN6dOnq0GDBq7H69evV8+ePVWzZk05HA517dpVGzZsKMthAignBBkA5erdd99Vs2bN1LRpUw0ZMkT//e9/VfCVbx9//LEGDBigvn37auPGjfr888/Vvn17SdKiRYtUp04d/etf/1JGRoYyMjJK/JrZ2dkaOnSoVq9era+//lqNGzdW3759lZ2dXSZjBFB+KuZ3sAPwWTNnztSQIUMkSb1795bT6dSKFSt0/fXXa/LkyUpISNCkSZNc/a+88kpJUlhYmPz9/RUSEqKIiIiLes1u3bq5PX7ttddUrVo1rVixQjfddNMljgiAN3FEBkC52bFjh9atW6dBgwZJkqpUqaKBAwdq5syZkqRNmzape/fuHn/dAwcO6N5771Xjxo3lcDgUGhqq48ePa+/evR5/LQDliyMyAMrNzJkzdebMGUVFRbnajDGy2+16+eWXFRQUdNHb9PPzc52aKnD69Gm3x0OHDtXhw4f1wgsvqH79+rLb7erQoYNOnTpVuoEA8BkckQFQLs6cOaO33npLzz33nDZt2uRaNm/erKioKL399ttq3bq1Pv/882K3ERAQoLy8PLe2WrVqKTMz0y3MbNq0ya3PmjVrNGrUKPXt21ctW7aU3W7XoUOHPDo+AN7BERkA5eKjjz7S0aNHNWLECDkcDrfnbrvtNs2cOVPPPPOMunfvrpiYGCUkJOjMmTP65JNPNHbsWEln7yOzcuVKJSQkyG63q2bNmrr++uv122+/6emnn9af/vQnLV26VKmpqQoNDXVtv3HjxpozZ47atm2rrKwsPfLII6U6+gPA93BEBkC5mDlzpnr06FEoxEhng8y3336rsLAwLViwQB9++KGuuuoqdevWTevWrXP1+9e//qXdu3crJiZGtWrVkiQ1b95cM2bM0CuvvKIrr7xS69at05gxYwq99tGjR9WmTRv9+c9/1qhRoxQeHl62AwZQLmzm3JPLAAAAFsERGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFn/DzEWpS3JwvijAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO: put your code here. You can use multiple cells. \n",
    "import math\n",
    "\n",
    "# YOUR SOLUTION HERE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OljUL17WdaW9"
   },
   "source": [
    "What is your result? How are the exponents different from each other? Have you observed a result consistent with the Stevens' power-law?"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}