{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Predicting wind and solar generation from weather data using Machine Learning\n",
    "\n",
    "In this notebook I describe how to predict wind and solar generation from weather data using a simple linear regression algorithm and a dataset containing energy production and weather information for Germany during 2016.\n",
    "\n",
    "More information can be found in the [post](https://medium.com/hugo-ferreiras-blog/predicting-wind-and-solar-generation-from-weather-data-using-machine-learning-998d7db8415e) in my blog."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import necessary modules\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. The data\n",
    "\n",
    "The data I used in this analysis comes from Open Power System Data, a free-of-charge platform with data data on installed generation capacity by country/technology, individual power plants (conventional and renewable), and time series data. It can be found in:\n",
    "\n",
    "https://open-power-system-data.org/\n",
    "\n",
    "The platform contains data for 37 European countries, but in this project I’m going to focus on data for Germany in 2016 as an example. In particular, I’m going to use two datasets:\n",
    "* Time series with load, wind and solar, prices in hourly resolution. \n",
    "* Weather data with wind speed, radiation, temperature and other measurements. Given the huge amount of data, the Open Power System Data platform provides a CSV file for the German dataset for 2016 and a script to download the data for other countries and years."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.1. Renewable energy production data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read the data\n",
    "\n",
    "First, we read the csv file containing the renewable energy production data relative to Germany. For that, we read the column containing the timestamp (whose column name starts with 'utc') and the columns containing German data (whose columns start with 'DE')."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "production = pd.read_csv(\"data/time_series_60min_singleindex.csv\",\n",
    "                        usecols=(lambda s: s.startswith('utc') | s.startswith('DE')),\n",
    "                        parse_dates=[0], index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DE_load_entsoe_power_statistics</th>\n",
       "      <th>DE_load_entsoe_transparency</th>\n",
       "      <th>DE_price_day_ahead</th>\n",
       "      <th>DE_solar_capacity</th>\n",
       "      <th>DE_solar_generation_actual</th>\n",
       "      <th>DE_solar_profile</th>\n",
       "      <th>DE_wind_capacity</th>\n",
       "      <th>DE_wind_generation_actual</th>\n",
       "      <th>DE_wind_profile</th>\n",
       "      <th>DE_wind_offshore_capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>DE_tennet_wind_generation_actual</th>\n",
       "      <th>DE_tennet_wind_generation_forecast</th>\n",
       "      <th>DE_tennet_wind_offshore_generation_actual</th>\n",
       "      <th>DE_tennet_wind_onshore_generation_actual</th>\n",
       "      <th>DE_transnetbw_load_entsoe_transparency</th>\n",
       "      <th>DE_transnetbw_solar_generation_actual</th>\n",
       "      <th>DE_transnetbw_solar_generation_forecast</th>\n",
       "      <th>DE_transnetbw_wind_generation_actual</th>\n",
       "      <th>DE_transnetbw_wind_generation_forecast</th>\n",
       "      <th>DE_transnetbw_wind_onshore_generation_actual</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>utc_timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-12-31 23:00:00</th>\n",
       "      <td>47823.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.10</td>\n",
       "      <td>2028.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1707.0</td>\n",
       "      <td>1864.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1707.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-01 00:00:00</th>\n",
       "      <td>47823.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.07</td>\n",
       "      <td>2028.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1755.0</td>\n",
       "      <td>1813.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1755.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-01 01:00:00</th>\n",
       "      <td>43444.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.94</td>\n",
       "      <td>2028.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1591.0</td>\n",
       "      <td>1726.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1591.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     DE_load_entsoe_power_statistics  \\\n",
       "utc_timestamp                                          \n",
       "2005-12-31 23:00:00                          47823.0   \n",
       "2006-01-01 00:00:00                          47823.0   \n",
       "2006-01-01 01:00:00                          43444.0   \n",
       "\n",
       "                     DE_load_entsoe_transparency  DE_price_day_ahead  \\\n",
       "utc_timestamp                                                          \n",
       "2005-12-31 23:00:00                          NaN               32.10   \n",
       "2006-01-01 00:00:00                          NaN               30.07   \n",
       "2006-01-01 01:00:00                          NaN               27.94   \n",
       "\n",
       "                     DE_solar_capacity  DE_solar_generation_actual  \\\n",
       "utc_timestamp                                                        \n",
       "2005-12-31 23:00:00             2028.0                         NaN   \n",
       "2006-01-01 00:00:00             2028.0                         NaN   \n",
       "2006-01-01 01:00:00             2028.0                         NaN   \n",
       "\n",
       "                     DE_solar_profile  DE_wind_capacity  \\\n",
       "utc_timestamp                                             \n",
       "2005-12-31 23:00:00               NaN               NaN   \n",
       "2006-01-01 00:00:00               NaN               NaN   \n",
       "2006-01-01 01:00:00               NaN               NaN   \n",
       "\n",
       "                     DE_wind_generation_actual  DE_wind_profile  \\\n",
       "utc_timestamp                                                     \n",
       "2005-12-31 23:00:00                        NaN              NaN   \n",
       "2006-01-01 00:00:00                        NaN              NaN   \n",
       "2006-01-01 01:00:00                        NaN              NaN   \n",
       "\n",
       "                     DE_wind_offshore_capacity  \\\n",
       "utc_timestamp                                    \n",
       "2005-12-31 23:00:00                        NaN   \n",
       "2006-01-01 00:00:00                        NaN   \n",
       "2006-01-01 01:00:00                        NaN   \n",
       "\n",
       "                                         ...                       \\\n",
       "utc_timestamp                            ...                        \n",
       "2005-12-31 23:00:00                      ...                        \n",
       "2006-01-01 00:00:00                      ...                        \n",
       "2006-01-01 01:00:00                      ...                        \n",
       "\n",
       "                     DE_tennet_wind_generation_actual  \\\n",
       "utc_timestamp                                           \n",
       "2005-12-31 23:00:00                            1707.0   \n",
       "2006-01-01 00:00:00                            1755.0   \n",
       "2006-01-01 01:00:00                            1591.0   \n",
       "\n",
       "                     DE_tennet_wind_generation_forecast  \\\n",
       "utc_timestamp                                             \n",
       "2005-12-31 23:00:00                              1864.0   \n",
       "2006-01-01 00:00:00                              1813.0   \n",
       "2006-01-01 01:00:00                              1726.0   \n",
       "\n",
       "                     DE_tennet_wind_offshore_generation_actual  \\\n",
       "utc_timestamp                                                    \n",
       "2005-12-31 23:00:00                                        0.0   \n",
       "2006-01-01 00:00:00                                        0.0   \n",
       "2006-01-01 01:00:00                                        0.0   \n",
       "\n",
       "                     DE_tennet_wind_onshore_generation_actual  \\\n",
       "utc_timestamp                                                   \n",
       "2005-12-31 23:00:00                                    1707.0   \n",
       "2006-01-01 00:00:00                                    1755.0   \n",
       "2006-01-01 01:00:00                                    1591.0   \n",
       "\n",
       "                     DE_transnetbw_load_entsoe_transparency  \\\n",
       "utc_timestamp                                                 \n",
       "2005-12-31 23:00:00                                     NaN   \n",
       "2006-01-01 00:00:00                                     NaN   \n",
       "2006-01-01 01:00:00                                     NaN   \n",
       "\n",
       "                     DE_transnetbw_solar_generation_actual  \\\n",
       "utc_timestamp                                                \n",
       "2005-12-31 23:00:00                                    NaN   \n",
       "2006-01-01 00:00:00                                    NaN   \n",
       "2006-01-01 01:00:00                                    NaN   \n",
       "\n",
       "                     DE_transnetbw_solar_generation_forecast  \\\n",
       "utc_timestamp                                                  \n",
       "2005-12-31 23:00:00                                      NaN   \n",
       "2006-01-01 00:00:00                                      NaN   \n",
       "2006-01-01 01:00:00                                      NaN   \n",
       "\n",
       "                     DE_transnetbw_wind_generation_actual  \\\n",
       "utc_timestamp                                               \n",
       "2005-12-31 23:00:00                                   NaN   \n",
       "2006-01-01 00:00:00                                   NaN   \n",
       "2006-01-01 01:00:00                                   NaN   \n",
       "\n",
       "                     DE_transnetbw_wind_generation_forecast  \\\n",
       "utc_timestamp                                                 \n",
       "2005-12-31 23:00:00                                     NaN   \n",
       "2006-01-01 00:00:00                                     NaN   \n",
       "2006-01-01 01:00:00                                     NaN   \n",
       "\n",
       "                     DE_transnetbw_wind_onshore_generation_actual  \n",
       "utc_timestamp                                                      \n",
       "2005-12-31 23:00:00                                           NaN  \n",
       "2006-01-01 00:00:00                                           NaN  \n",
       "2006-01-01 01:00:00                                           NaN  \n",
       "\n",
       "[3 rows x 48 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "production.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DE_load_entsoe_power_statistics</th>\n",
       "      <th>DE_load_entsoe_transparency</th>\n",
       "      <th>DE_price_day_ahead</th>\n",
       "      <th>DE_solar_capacity</th>\n",
       "      <th>DE_solar_generation_actual</th>\n",
       "      <th>DE_solar_profile</th>\n",
       "      <th>DE_wind_capacity</th>\n",
       "      <th>DE_wind_generation_actual</th>\n",
       "      <th>DE_wind_profile</th>\n",
       "      <th>DE_wind_offshore_capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>DE_tennet_wind_generation_actual</th>\n",
       "      <th>DE_tennet_wind_generation_forecast</th>\n",
       "      <th>DE_tennet_wind_offshore_generation_actual</th>\n",
       "      <th>DE_tennet_wind_onshore_generation_actual</th>\n",
       "      <th>DE_transnetbw_load_entsoe_transparency</th>\n",
       "      <th>DE_transnetbw_solar_generation_actual</th>\n",
       "      <th>DE_transnetbw_solar_generation_forecast</th>\n",
       "      <th>DE_transnetbw_wind_generation_actual</th>\n",
       "      <th>DE_transnetbw_wind_generation_forecast</th>\n",
       "      <th>DE_transnetbw_wind_onshore_generation_actual</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>utc_timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-12-31 21:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>46566.0</td>\n",
       "      <td>1.86</td>\n",
       "      <td>41951.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55790.0</td>\n",
       "      <td>30355.0</td>\n",
       "      <td>0.5441</td>\n",
       "      <td>5323.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12111.0</td>\n",
       "      <td>13904.0</td>\n",
       "      <td>3752.0</td>\n",
       "      <td>8359.0</td>\n",
       "      <td>5376.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>964.0</td>\n",
       "      <td>970.0</td>\n",
       "      <td>964.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31 22:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>45159.0</td>\n",
       "      <td>-0.92</td>\n",
       "      <td>41951.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55790.0</td>\n",
       "      <td>30594.0</td>\n",
       "      <td>0.5484</td>\n",
       "      <td>5323.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12249.0</td>\n",
       "      <td>13937.0</td>\n",
       "      <td>2800.0</td>\n",
       "      <td>9450.0</td>\n",
       "      <td>5195.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1031.0</td>\n",
       "      <td>1026.0</td>\n",
       "      <td>1031.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31 23:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>43803.0</td>\n",
       "      <td>-5.27</td>\n",
       "      <td>41951.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55790.0</td>\n",
       "      <td>31578.0</td>\n",
       "      <td>0.5660</td>\n",
       "      <td>5323.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13035.0</td>\n",
       "      <td>13378.0</td>\n",
       "      <td>2723.0</td>\n",
       "      <td>10312.0</td>\n",
       "      <td>4902.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1086.0</td>\n",
       "      <td>1029.0</td>\n",
       "      <td>1086.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     DE_load_entsoe_power_statistics  \\\n",
       "utc_timestamp                                          \n",
       "2017-12-31 21:00:00                              NaN   \n",
       "2017-12-31 22:00:00                              NaN   \n",
       "2017-12-31 23:00:00                              NaN   \n",
       "\n",
       "                     DE_load_entsoe_transparency  DE_price_day_ahead  \\\n",
       "utc_timestamp                                                          \n",
       "2017-12-31 21:00:00                      46566.0                1.86   \n",
       "2017-12-31 22:00:00                      45159.0               -0.92   \n",
       "2017-12-31 23:00:00                      43803.0               -5.27   \n",
       "\n",
       "                     DE_solar_capacity  DE_solar_generation_actual  \\\n",
       "utc_timestamp                                                        \n",
       "2017-12-31 21:00:00            41951.0                         0.0   \n",
       "2017-12-31 22:00:00            41951.0                         0.0   \n",
       "2017-12-31 23:00:00            41951.0                         0.0   \n",
       "\n",
       "                     DE_solar_profile  DE_wind_capacity  \\\n",
       "utc_timestamp                                             \n",
       "2017-12-31 21:00:00               0.0           55790.0   \n",
       "2017-12-31 22:00:00               0.0           55790.0   \n",
       "2017-12-31 23:00:00               0.0           55790.0   \n",
       "\n",
       "                     DE_wind_generation_actual  DE_wind_profile  \\\n",
       "utc_timestamp                                                     \n",
       "2017-12-31 21:00:00                    30355.0           0.5441   \n",
       "2017-12-31 22:00:00                    30594.0           0.5484   \n",
       "2017-12-31 23:00:00                    31578.0           0.5660   \n",
       "\n",
       "                     DE_wind_offshore_capacity  \\\n",
       "utc_timestamp                                    \n",
       "2017-12-31 21:00:00                     5323.0   \n",
       "2017-12-31 22:00:00                     5323.0   \n",
       "2017-12-31 23:00:00                     5323.0   \n",
       "\n",
       "                                         ...                       \\\n",
       "utc_timestamp                            ...                        \n",
       "2017-12-31 21:00:00                      ...                        \n",
       "2017-12-31 22:00:00                      ...                        \n",
       "2017-12-31 23:00:00                      ...                        \n",
       "\n",
       "                     DE_tennet_wind_generation_actual  \\\n",
       "utc_timestamp                                           \n",
       "2017-12-31 21:00:00                           12111.0   \n",
       "2017-12-31 22:00:00                           12249.0   \n",
       "2017-12-31 23:00:00                           13035.0   \n",
       "\n",
       "                     DE_tennet_wind_generation_forecast  \\\n",
       "utc_timestamp                                             \n",
       "2017-12-31 21:00:00                             13904.0   \n",
       "2017-12-31 22:00:00                             13937.0   \n",
       "2017-12-31 23:00:00                             13378.0   \n",
       "\n",
       "                     DE_tennet_wind_offshore_generation_actual  \\\n",
       "utc_timestamp                                                    \n",
       "2017-12-31 21:00:00                                     3752.0   \n",
       "2017-12-31 22:00:00                                     2800.0   \n",
       "2017-12-31 23:00:00                                     2723.0   \n",
       "\n",
       "                     DE_tennet_wind_onshore_generation_actual  \\\n",
       "utc_timestamp                                                   \n",
       "2017-12-31 21:00:00                                    8359.0   \n",
       "2017-12-31 22:00:00                                    9450.0   \n",
       "2017-12-31 23:00:00                                   10312.0   \n",
       "\n",
       "                     DE_transnetbw_load_entsoe_transparency  \\\n",
       "utc_timestamp                                                 \n",
       "2017-12-31 21:00:00                                  5376.0   \n",
       "2017-12-31 22:00:00                                  5195.0   \n",
       "2017-12-31 23:00:00                                  4902.0   \n",
       "\n",
       "                     DE_transnetbw_solar_generation_actual  \\\n",
       "utc_timestamp                                                \n",
       "2017-12-31 21:00:00                                    0.0   \n",
       "2017-12-31 22:00:00                                    0.0   \n",
       "2017-12-31 23:00:00                                    0.0   \n",
       "\n",
       "                     DE_transnetbw_solar_generation_forecast  \\\n",
       "utc_timestamp                                                  \n",
       "2017-12-31 21:00:00                                      0.0   \n",
       "2017-12-31 22:00:00                                      0.0   \n",
       "2017-12-31 23:00:00                                      0.0   \n",
       "\n",
       "                     DE_transnetbw_wind_generation_actual  \\\n",
       "utc_timestamp                                               \n",
       "2017-12-31 21:00:00                                 964.0   \n",
       "2017-12-31 22:00:00                                1031.0   \n",
       "2017-12-31 23:00:00                                1086.0   \n",
       "\n",
       "                     DE_transnetbw_wind_generation_forecast  \\\n",
       "utc_timestamp                                                 \n",
       "2017-12-31 21:00:00                                   970.0   \n",
       "2017-12-31 22:00:00                                  1026.0   \n",
       "2017-12-31 23:00:00                                  1029.0   \n",
       "\n",
       "                     DE_transnetbw_wind_onshore_generation_actual  \n",
       "utc_timestamp                                                      \n",
       "2017-12-31 21:00:00                                         964.0  \n",
       "2017-12-31 22:00:00                                        1031.0  \n",
       "2017-12-31 23:00:00                                        1086.0  \n",
       "\n",
       "[3 rows x 48 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "production.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data file contains information between 2006 and 2017. We will only be interested in the data for 2016."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "production = production.loc[production.index.year == 2016, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DE_load_entsoe_power_statistics</th>\n",
       "      <th>DE_load_entsoe_transparency</th>\n",
       "      <th>DE_price_day_ahead</th>\n",
       "      <th>DE_solar_capacity</th>\n",
       "      <th>DE_solar_generation_actual</th>\n",
       "      <th>DE_solar_profile</th>\n",
       "      <th>DE_wind_capacity</th>\n",
       "      <th>DE_wind_generation_actual</th>\n",
       "      <th>DE_wind_profile</th>\n",
       "      <th>DE_wind_offshore_capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>DE_tennet_wind_generation_actual</th>\n",
       "      <th>DE_tennet_wind_generation_forecast</th>\n",
       "      <th>DE_tennet_wind_offshore_generation_actual</th>\n",
       "      <th>DE_tennet_wind_onshore_generation_actual</th>\n",
       "      <th>DE_transnetbw_load_entsoe_transparency</th>\n",
       "      <th>DE_transnetbw_solar_generation_actual</th>\n",
       "      <th>DE_transnetbw_solar_generation_forecast</th>\n",
       "      <th>DE_transnetbw_wind_generation_actual</th>\n",
       "      <th>DE_transnetbw_wind_generation_forecast</th>\n",
       "      <th>DE_transnetbw_wind_onshore_generation_actual</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>utc_timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <td>41913.0</td>\n",
       "      <td>39396.0</td>\n",
       "      <td>22.39</td>\n",
       "      <td>39021.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44325.0</td>\n",
       "      <td>8579.0</td>\n",
       "      <td>0.1936</td>\n",
       "      <td>3283.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5615.0</td>\n",
       "      <td>4740.0</td>\n",
       "      <td>2263.0</td>\n",
       "      <td>3352.0</td>\n",
       "      <td>4652.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 01:00:00</th>\n",
       "      <td>40331.0</td>\n",
       "      <td>37718.0</td>\n",
       "      <td>20.59</td>\n",
       "      <td>39021.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44325.0</td>\n",
       "      <td>8542.0</td>\n",
       "      <td>0.1928</td>\n",
       "      <td>3283.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5498.0</td>\n",
       "      <td>4735.0</td>\n",
       "      <td>2218.0</td>\n",
       "      <td>3280.0</td>\n",
       "      <td>4431.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 02:00:00</th>\n",
       "      <td>39162.0</td>\n",
       "      <td>36692.0</td>\n",
       "      <td>16.81</td>\n",
       "      <td>39021.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44325.0</td>\n",
       "      <td>8443.0</td>\n",
       "      <td>0.1905</td>\n",
       "      <td>3283.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5439.0</td>\n",
       "      <td>4795.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>3434.0</td>\n",
       "      <td>4325.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     DE_load_entsoe_power_statistics  \\\n",
       "utc_timestamp                                          \n",
       "2016-01-01 00:00:00                          41913.0   \n",
       "2016-01-01 01:00:00                          40331.0   \n",
       "2016-01-01 02:00:00                          39162.0   \n",
       "\n",
       "                     DE_load_entsoe_transparency  DE_price_day_ahead  \\\n",
       "utc_timestamp                                                          \n",
       "2016-01-01 00:00:00                      39396.0               22.39   \n",
       "2016-01-01 01:00:00                      37718.0               20.59   \n",
       "2016-01-01 02:00:00                      36692.0               16.81   \n",
       "\n",
       "                     DE_solar_capacity  DE_solar_generation_actual  \\\n",
       "utc_timestamp                                                        \n",
       "2016-01-01 00:00:00            39021.0                         0.0   \n",
       "2016-01-01 01:00:00            39021.0                         0.0   \n",
       "2016-01-01 02:00:00            39021.0                         0.0   \n",
       "\n",
       "                     DE_solar_profile  DE_wind_capacity  \\\n",
       "utc_timestamp                                             \n",
       "2016-01-01 00:00:00               0.0           44325.0   \n",
       "2016-01-01 01:00:00               0.0           44325.0   \n",
       "2016-01-01 02:00:00               0.0           44325.0   \n",
       "\n",
       "                     DE_wind_generation_actual  DE_wind_profile  \\\n",
       "utc_timestamp                                                     \n",
       "2016-01-01 00:00:00                     8579.0           0.1936   \n",
       "2016-01-01 01:00:00                     8542.0           0.1928   \n",
       "2016-01-01 02:00:00                     8443.0           0.1905   \n",
       "\n",
       "                     DE_wind_offshore_capacity  \\\n",
       "utc_timestamp                                    \n",
       "2016-01-01 00:00:00                     3283.0   \n",
       "2016-01-01 01:00:00                     3283.0   \n",
       "2016-01-01 02:00:00                     3283.0   \n",
       "\n",
       "                                         ...                       \\\n",
       "utc_timestamp                            ...                        \n",
       "2016-01-01 00:00:00                      ...                        \n",
       "2016-01-01 01:00:00                      ...                        \n",
       "2016-01-01 02:00:00                      ...                        \n",
       "\n",
       "                     DE_tennet_wind_generation_actual  \\\n",
       "utc_timestamp                                           \n",
       "2016-01-01 00:00:00                            5615.0   \n",
       "2016-01-01 01:00:00                            5498.0   \n",
       "2016-01-01 02:00:00                            5439.0   \n",
       "\n",
       "                     DE_tennet_wind_generation_forecast  \\\n",
       "utc_timestamp                                             \n",
       "2016-01-01 00:00:00                              4740.0   \n",
       "2016-01-01 01:00:00                              4735.0   \n",
       "2016-01-01 02:00:00                              4795.0   \n",
       "\n",
       "                     DE_tennet_wind_offshore_generation_actual  \\\n",
       "utc_timestamp                                                    \n",
       "2016-01-01 00:00:00                                     2263.0   \n",
       "2016-01-01 01:00:00                                     2218.0   \n",
       "2016-01-01 02:00:00                                     2005.0   \n",
       "\n",
       "                     DE_tennet_wind_onshore_generation_actual  \\\n",
       "utc_timestamp                                                   \n",
       "2016-01-01 00:00:00                                    3352.0   \n",
       "2016-01-01 01:00:00                                    3280.0   \n",
       "2016-01-01 02:00:00                                    3434.0   \n",
       "\n",
       "                     DE_transnetbw_load_entsoe_transparency  \\\n",
       "utc_timestamp                                                 \n",
       "2016-01-01 00:00:00                                  4652.0   \n",
       "2016-01-01 01:00:00                                  4431.0   \n",
       "2016-01-01 02:00:00                                  4325.0   \n",
       "\n",
       "                     DE_transnetbw_solar_generation_actual  \\\n",
       "utc_timestamp                                                \n",
       "2016-01-01 00:00:00                                    0.0   \n",
       "2016-01-01 01:00:00                                    0.0   \n",
       "2016-01-01 02:00:00                                    0.0   \n",
       "\n",
       "                     DE_transnetbw_solar_generation_forecast  \\\n",
       "utc_timestamp                                                  \n",
       "2016-01-01 00:00:00                                      0.0   \n",
       "2016-01-01 01:00:00                                      0.0   \n",
       "2016-01-01 02:00:00                                      0.0   \n",
       "\n",
       "                     DE_transnetbw_wind_generation_actual  \\\n",
       "utc_timestamp                                               \n",
       "2016-01-01 00:00:00                                  24.0   \n",
       "2016-01-01 01:00:00                                  24.0   \n",
       "2016-01-01 02:00:00                                  17.0   \n",
       "\n",
       "                     DE_transnetbw_wind_generation_forecast  \\\n",
       "utc_timestamp                                                 \n",
       "2016-01-01 00:00:00                                     0.0   \n",
       "2016-01-01 01:00:00                                     0.0   \n",
       "2016-01-01 02:00:00                                     0.0   \n",
       "\n",
       "                     DE_transnetbw_wind_onshore_generation_actual  \n",
       "utc_timestamp                                                      \n",
       "2016-01-01 00:00:00                                          24.0  \n",
       "2016-01-01 01:00:00                                          24.0  \n",
       "2016-01-01 02:00:00                                          17.0  \n",
       "\n",
       "[3 rows x 48 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "production.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DE_load_entsoe_power_statistics</th>\n",
       "      <th>DE_load_entsoe_transparency</th>\n",
       "      <th>DE_price_day_ahead</th>\n",
       "      <th>DE_solar_capacity</th>\n",
       "      <th>DE_solar_generation_actual</th>\n",
       "      <th>DE_solar_profile</th>\n",
       "      <th>DE_wind_capacity</th>\n",
       "      <th>DE_wind_generation_actual</th>\n",
       "      <th>DE_wind_profile</th>\n",
       "      <th>DE_wind_offshore_capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>DE_tennet_wind_generation_actual</th>\n",
       "      <th>DE_tennet_wind_generation_forecast</th>\n",
       "      <th>DE_tennet_wind_offshore_generation_actual</th>\n",
       "      <th>DE_tennet_wind_onshore_generation_actual</th>\n",
       "      <th>DE_transnetbw_load_entsoe_transparency</th>\n",
       "      <th>DE_transnetbw_solar_generation_actual</th>\n",
       "      <th>DE_transnetbw_solar_generation_forecast</th>\n",
       "      <th>DE_transnetbw_wind_generation_actual</th>\n",
       "      <th>DE_transnetbw_wind_generation_forecast</th>\n",
       "      <th>DE_transnetbw_wind_onshore_generation_actual</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>utc_timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-12-31 21:00:00</th>\n",
       "      <td>50383.0</td>\n",
       "      <td>47205.0</td>\n",
       "      <td>33.71</td>\n",
       "      <td>40293.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49569.0</td>\n",
       "      <td>14848.0</td>\n",
       "      <td>0.2995</td>\n",
       "      <td>4131.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8741.0</td>\n",
       "      <td>9438.0</td>\n",
       "      <td>2974.0</td>\n",
       "      <td>5766.0</td>\n",
       "      <td>6208.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31 22:00:00</th>\n",
       "      <td>48988.0</td>\n",
       "      <td>45548.0</td>\n",
       "      <td>27.95</td>\n",
       "      <td>40293.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49569.0</td>\n",
       "      <td>15056.0</td>\n",
       "      <td>0.3037</td>\n",
       "      <td>4131.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8750.0</td>\n",
       "      <td>9444.0</td>\n",
       "      <td>2976.0</td>\n",
       "      <td>5774.0</td>\n",
       "      <td>6071.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31 23:00:00</th>\n",
       "      <td>47641.0</td>\n",
       "      <td>44512.0</td>\n",
       "      <td>20.96</td>\n",
       "      <td>40294.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49569.0</td>\n",
       "      <td>15422.0</td>\n",
       "      <td>0.3111</td>\n",
       "      <td>4131.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8792.0</td>\n",
       "      <td>9543.0</td>\n",
       "      <td>2971.0</td>\n",
       "      <td>5821.0</td>\n",
       "      <td>5953.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     DE_load_entsoe_power_statistics  \\\n",
       "utc_timestamp                                          \n",
       "2016-12-31 21:00:00                          50383.0   \n",
       "2016-12-31 22:00:00                          48988.0   \n",
       "2016-12-31 23:00:00                          47641.0   \n",
       "\n",
       "                     DE_load_entsoe_transparency  DE_price_day_ahead  \\\n",
       "utc_timestamp                                                          \n",
       "2016-12-31 21:00:00                      47205.0               33.71   \n",
       "2016-12-31 22:00:00                      45548.0               27.95   \n",
       "2016-12-31 23:00:00                      44512.0               20.96   \n",
       "\n",
       "                     DE_solar_capacity  DE_solar_generation_actual  \\\n",
       "utc_timestamp                                                        \n",
       "2016-12-31 21:00:00            40293.0                         0.0   \n",
       "2016-12-31 22:00:00            40293.0                         0.0   \n",
       "2016-12-31 23:00:00            40294.0                         0.0   \n",
       "\n",
       "                     DE_solar_profile  DE_wind_capacity  \\\n",
       "utc_timestamp                                             \n",
       "2016-12-31 21:00:00               0.0           49569.0   \n",
       "2016-12-31 22:00:00               0.0           49569.0   \n",
       "2016-12-31 23:00:00               0.0           49569.0   \n",
       "\n",
       "                     DE_wind_generation_actual  DE_wind_profile  \\\n",
       "utc_timestamp                                                     \n",
       "2016-12-31 21:00:00                    14848.0           0.2995   \n",
       "2016-12-31 22:00:00                    15056.0           0.3037   \n",
       "2016-12-31 23:00:00                    15422.0           0.3111   \n",
       "\n",
       "                     DE_wind_offshore_capacity  \\\n",
       "utc_timestamp                                    \n",
       "2016-12-31 21:00:00                     4131.0   \n",
       "2016-12-31 22:00:00                     4131.0   \n",
       "2016-12-31 23:00:00                     4131.0   \n",
       "\n",
       "                                         ...                       \\\n",
       "utc_timestamp                            ...                        \n",
       "2016-12-31 21:00:00                      ...                        \n",
       "2016-12-31 22:00:00                      ...                        \n",
       "2016-12-31 23:00:00                      ...                        \n",
       "\n",
       "                     DE_tennet_wind_generation_actual  \\\n",
       "utc_timestamp                                           \n",
       "2016-12-31 21:00:00                            8741.0   \n",
       "2016-12-31 22:00:00                            8750.0   \n",
       "2016-12-31 23:00:00                            8792.0   \n",
       "\n",
       "                     DE_tennet_wind_generation_forecast  \\\n",
       "utc_timestamp                                             \n",
       "2016-12-31 21:00:00                              9438.0   \n",
       "2016-12-31 22:00:00                              9444.0   \n",
       "2016-12-31 23:00:00                              9543.0   \n",
       "\n",
       "                     DE_tennet_wind_offshore_generation_actual  \\\n",
       "utc_timestamp                                                    \n",
       "2016-12-31 21:00:00                                     2974.0   \n",
       "2016-12-31 22:00:00                                     2976.0   \n",
       "2016-12-31 23:00:00                                     2971.0   \n",
       "\n",
       "                     DE_tennet_wind_onshore_generation_actual  \\\n",
       "utc_timestamp                                                   \n",
       "2016-12-31 21:00:00                                    5766.0   \n",
       "2016-12-31 22:00:00                                    5774.0   \n",
       "2016-12-31 23:00:00                                    5821.0   \n",
       "\n",
       "                     DE_transnetbw_load_entsoe_transparency  \\\n",
       "utc_timestamp                                                 \n",
       "2016-12-31 21:00:00                                  6208.0   \n",
       "2016-12-31 22:00:00                                  6071.0   \n",
       "2016-12-31 23:00:00                                  5953.0   \n",
       "\n",
       "                     DE_transnetbw_solar_generation_actual  \\\n",
       "utc_timestamp                                                \n",
       "2016-12-31 21:00:00                                    0.0   \n",
       "2016-12-31 22:00:00                                    0.0   \n",
       "2016-12-31 23:00:00                                    0.0   \n",
       "\n",
       "                     DE_transnetbw_solar_generation_forecast  \\\n",
       "utc_timestamp                                                  \n",
       "2016-12-31 21:00:00                                      0.0   \n",
       "2016-12-31 22:00:00                                      0.0   \n",
       "2016-12-31 23:00:00                                      0.0   \n",
       "\n",
       "                     DE_transnetbw_wind_generation_actual  \\\n",
       "utc_timestamp                                               \n",
       "2016-12-31 21:00:00                                  38.0   \n",
       "2016-12-31 22:00:00                                  54.0   \n",
       "2016-12-31 23:00:00                                  70.0   \n",
       "\n",
       "                     DE_transnetbw_wind_generation_forecast  \\\n",
       "utc_timestamp                                                 \n",
       "2016-12-31 21:00:00                                    58.0   \n",
       "2016-12-31 22:00:00                                    68.0   \n",
       "2016-12-31 23:00:00                                    44.0   \n",
       "\n",
       "                     DE_transnetbw_wind_onshore_generation_actual  \n",
       "utc_timestamp                                                      \n",
       "2016-12-31 21:00:00                                          38.0  \n",
       "2016-12-31 22:00:00                                          54.0  \n",
       "2016-12-31 23:00:00                                          70.0  \n",
       "\n",
       "[3 rows x 48 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "production.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 8784 entries, 2016-01-01 00:00:00 to 2016-12-31 23:00:00\n",
      "Data columns (total 48 columns):\n",
      "DE_load_entsoe_power_statistics                 8784 non-null float64\n",
      "DE_load_entsoe_transparency                     8784 non-null float64\n",
      "DE_price_day_ahead                              8784 non-null float64\n",
      "DE_solar_capacity                               8784 non-null float64\n",
      "DE_solar_generation_actual                      8784 non-null float64\n",
      "DE_solar_profile                                8784 non-null float64\n",
      "DE_wind_capacity                                8784 non-null float64\n",
      "DE_wind_generation_actual                       8784 non-null float64\n",
      "DE_wind_profile                                 8784 non-null float64\n",
      "DE_wind_offshore_capacity                       8784 non-null float64\n",
      "DE_wind_offshore_generation_actual              8784 non-null float64\n",
      "DE_wind_offshore_profile                        8784 non-null float64\n",
      "DE_wind_onshore_capacity                        8784 non-null float64\n",
      "DE_wind_onshore_generation_actual               8784 non-null float64\n",
      "DE_wind_onshore_profile                         8784 non-null float64\n",
      "DE_50hertz_load_entsoe_transparency             8784 non-null float64\n",
      "DE_50hertz_solar_generation_actual              8784 non-null float64\n",
      "DE_50hertz_solar_generation_forecast            8784 non-null float64\n",
      "DE_50hertz_wind_generation_actual               8784 non-null float64\n",
      "DE_50hertz_wind_generation_forecast             8784 non-null float64\n",
      "DE_50hertz_wind_offshore_generation_actual      8784 non-null float64\n",
      "DE_50hertz_wind_offshore_generation_forecast    8784 non-null float64\n",
      "DE_50hertz_wind_onshore_generation_actual       8784 non-null float64\n",
      "DE_50hertz_wind_onshore_generation_forecast     8784 non-null float64\n",
      "DE_AT_LU_load_entsoe_transparency               8784 non-null float64\n",
      "DE_AT_LU_price_day_ahead                        8784 non-null float64\n",
      "DE_AT_LU_solar_generation_actual                8736 non-null float64\n",
      "DE_AT_LU_wind_offshore_generation_actual        8733 non-null float64\n",
      "DE_AT_LU_wind_onshore_generation_actual         8736 non-null float64\n",
      "DE_amprion_load_entsoe_transparency             8784 non-null float64\n",
      "DE_amprion_solar_generation_actual              8784 non-null float64\n",
      "DE_amprion_solar_generation_forecast            8784 non-null float64\n",
      "DE_amprion_wind_generation_actual               8784 non-null float64\n",
      "DE_amprion_wind_generation_forecast             8784 non-null float64\n",
      "DE_amprion_wind_onshore_generation_actual       8784 non-null float64\n",
      "DE_tennet_load_entsoe_transparency              8783 non-null float64\n",
      "DE_tennet_solar_generation_actual               8784 non-null float64\n",
      "DE_tennet_solar_generation_forecast             8784 non-null float64\n",
      "DE_tennet_wind_generation_actual                8784 non-null float64\n",
      "DE_tennet_wind_generation_forecast              8784 non-null float64\n",
      "DE_tennet_wind_offshore_generation_actual       8784 non-null float64\n",
      "DE_tennet_wind_onshore_generation_actual        8784 non-null float64\n",
      "DE_transnetbw_load_entsoe_transparency          8784 non-null float64\n",
      "DE_transnetbw_solar_generation_actual           8784 non-null float64\n",
      "DE_transnetbw_solar_generation_forecast         8784 non-null float64\n",
      "DE_transnetbw_wind_generation_actual            8784 non-null float64\n",
      "DE_transnetbw_wind_generation_forecast          8784 non-null float64\n",
      "DE_transnetbw_wind_onshore_generation_actual    8784 non-null float64\n",
      "dtypes: float64(48)\n",
      "memory usage: 3.3 MB\n"
     ]
    }
   ],
   "source": [
    "production.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There 8784 entries, which correspond to the number of hours in a leap year like 2016."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot the time series for the wind and solar generation to get a better idea of the properties of the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create plot\n",
    "plt.plot(production.index, production['DE_wind_generation_actual'])\n",
    "plt.title('Actual wind generation in Germany in MW')\n",
    "plt.xlim(pd.Timestamp('2016-01-01'), pd.Timestamp('2017-01-01'))\n",
    "plt.ylim(0, 35000)\n",
    "\n",
    "# save plot\n",
    "plt.savefig(\"figs/wind.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZgAAAEICAYAAABiXeIWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJztnXfYHVW1uN9FKBaqEBFpUX8oRaUYEQvqVQnlqqCiggoB0dCLggJer+SCeEEpimKuoYUmRUKJGIQQCBAIJSEhJISQTkJ6Dwnp6/fH7JNvvvOdMjNn+lnv85xnzuzZZe2ZPXvtvXYZUVUMwzAMI242y1oAwzAMo5yYgjEMwzASwRSMYRiGkQimYAzDMIxEMAVjGIZhJIIpGMMwDCMRTMGUHBH5sojMijnOk0RkeJxxFhUR+aGIPJZAvIeKyMS44y0jIjJeRL6ctRxGV0zBJIyIDBORJSKyVUD/PURERWTzpGUzwlHr2ajqnaraK+60VPUZVf1Y1PAisouI3CAis0XkbRGZKiIDRGTvOOXMA6q6n6oOixLWPc95/mcqIpuLyHwRUXd+vIi8VhVuSB23i6LIUVZMwSSIiPQADgUU+GamwuSEPCtOEemWtQxxICI7As8B78Erf9sABwFPAYdFiE9EpMx1xVLgSN/5UcAS3/lTwD4i0h02leH9gfdUuX0WeDoViQtCmQtNHjgReB4YAPT2XxCRd4vI1SIyQ0SWichwEXk3HQV0qWt5flZE+orIHb6wnVrSInKyiEwQkRWupXpqEOFcxXGta60tE5GxIvJxd207EblNRBY4GX9dr5IRkT+JyEwRWS4io0TkUN+1viJyn4jcISLLgZNqhN9RRP7pwr8kIr/1m+BEZG/XOlwsIhNF5Hu+awNE5HoR+ZfL/wsi8pEQYfuJyGARWQn8h4j8p4iMdrLMFJG+PlFrPZuTqmT9nMvDMnf8nO/aMBG5TESedbI+JiI71bmnnUybIjJdRC5wz2iZiNwjIu+qFRb4GbAcOEFVp6jHUlW9RVX/7IvzEBF5TkSWisgr4jMzOVkvF5FngVXAh53bb12Yt90z21FE7vQ9ux6+OJqVi3tdGVshnpmrp7v2CxEZWHU//iwif6xzr6aLyNeaxduA2/He1QonArdVTlR1NjAV+KJzOggYj6d4/G6bASObpNVeqKr9EvoBk4EzgE8B64CdfdeuB4YBuwLdgM8BWwE98Ho8m/v89gXu8J138gP8J/ARQIAv4VUIB7lrXwZm1ZHvcGAUsL0Luw+wi7t2G/AQXuu3B/AGcIq7dhIw3BfPj4Adgc2B84G5wLt8sq8DjsF7Ad9dQ4673e89wL7AzEr8wHvd+cku/oOAhcB+7voAYDFwsLt+J3B3iLDLgM872d7l7tcn3PkngXnAMbXue/W9AN6H1/I9waV3vDvf0V0fBkwBPgq8251fUefZdHpuwHTgReCDLp0JwGl1wj4P9G1SNncFFuG11jfD69ksArr7ZH0T2M/lZQvnNhmvrG0HvObKxdecn9uAW0KUi9Uu/W7A/wLPu2u7ACuB7d355sB84FN18jId+FqzeOuEVeDj7jlv737znJv6/N0C/Mn9vwC4FPhpldsTWdc5eftZDyYhROQLwJ7Avao6Cq9i+YG7thnwY+BcVX1LVTeo6nOquiZKWqr6L+1oqT4FPIZnGmnGOjwFsjcgqjpBVeeIZyr6PnCxqq5Q1enA1XgVZ63071DVRaq6XlWvxlOU/vGDEar6oKpuVNV3/GFdWt8BLlHVVar6GnCrz8vXgenqtb7Xq+rLwEDgWJ+f+1X1RVVdj6dgDggR9iFVfdbJtlpVh6nqq+58LHAXntIOwn8Ck1T1dpfeXcDrwDd8fm5R1TfcfbjXJ2sQrlPV2aq6GPhng7A74VXmAIjIN10vZYV0TEj4ETBYVQe7vA7Ba30f5YtngKqOd3lZ55N/iqouAx4Bpqjq4+7e/wM4sBI4QLkY7tLfgNeL2N+Fm4PXW/yu83cEsNC9R0GoGW8DVuPdz+8DxwGDnJsff2/lUOAZ9/O7PRVQvrbBFExy9AYeU9WF7vzvdJjJdsJrLU+JIyEROVJEnndmoKV4lURN04sfVX0C+Ateb2qeiPQXkW1d2C2BGT7vM/BavbXSP188E90yl/52VenPbCBGd7wWqt+P//+ewGdcBbnUxf9D4AM+P3N9/1cBW4cI20k2EfmMiDwpnmlwGXAaAe6l44N0vmfQ9b7VkzUIQcMuwusFAKCqg1R1ezzT2ZbOeU/gu1X35gv+cNR+bvN8/9+pcb5JpgDlojo/75KOMbpb8ZQg7nh7nbzWolG89bgNzzTWyTzm42ngkyKyA3AIXqPpdWAX5/YFbPylC6ZgEkC8sZTvAV8SkbkiMhfv5d5fRPbHM9OsxjM1VFNre+uVeOajCpsqSPFmpw0ErsIzwW0PDMYzeTVFVa9T1U/hmUI+CvzCybcOrxKqsAfwVo28Hgpc6PK7g0t/WVX6jbbsXgCsB3bzue3u+z8TeEpVt/f9tlbV0wNkL0jYatn+jteC3V1VtwP+z5eXZluPz6bzPYM69y1hhgLHSOOB+ZnA7VX35r2qeoXPT+St1gOWi0Y8iFehfxyvJ3pnVFkC8gyect0Z6DIFX1Wn4j3fPsCbqvq2uzTCuW2NZ5o0fJiCSYZjgA144wkHuN8+eIX4RFXdCNwMXCMiHxSRbm7AeCu8Cncj8GFffGOAL4rIHiKyHXCx79qWeKaHBcB6ETkSCDRtVkQ+7VrsW+ApsdXABmdauBe4XES2EZE9gZ8Dd9SIZhs8BbEA2FxEfgNsGyR9AJfW/UBfEXmPeNNo/QOuDwMfFZETRGQL9/u0iOwTIPooYbcBFqvqahE5GGfWdNR6Nn4Gu/R+IN5U1+/jlYGHA8gaJ9cAOwC3i8hHxGMbOpvU7gC+ISKHu/L3LvEmFuxWM8bwtFouVgP34Sn8F1X1zZjkqpee4pkyv+n+1+IZvPfgGZ/bcOc2str8a5iCSYreeLbqN1V1buWHZ476oeuuXwC8CryEN0h9JbCZqq4CLgeedaaLQ5x9/B5gLN6g/KYKS1VXAOfgKYQleBXioIBybgvc4MLNwDOtXOWunY2ndKbivUR/x1OK1TyKZ4t/w8WxmsYmsVqchWc+mYtnCrkLWAOb8tcLzzY+2/m5Ek+pNiRi2DOAS0VkBfAbvPtaia/Ls6lKbxFea/t8vHv5S+DrPjNpKrj0DsF7FsOBFXiNlG2A052fmcDRwK/wlMBMvN5rXHVCHOXiVrwJF2HMY5Fx403jG3h5Cng/nXs4zzg3M4/VQOora8PIBhG5EviAqvZu6tkoLSKyB94kiQ+o6vKs5THCYz0YI3PEW6vySWfKORg4BXgga7mM7HDjRz/Hm3JuyqWg5HZVtdFWbINnFvsg3nqHq/HW4BhtiIi8F2922gy8KcpGQTETmWEYhpEIZiIzDMMwEqGwJrKddtpJe/TokbUYhmEYhWLUqFELVbV7GmkVVsH06NGDkSNtXznDMIwwiEj1bhOJYSYywzAMIxFMwRiGYRiJYArGMAzDSARTMIZhGEYimIIxDMMwEsEUjJEtb02Cy4+DdWuzliQYby+FsfZdKcMIQmGnKRsl4Y994JVhMH0czBgPj+V8Z4m+x3gK5sHl8J5tspbGMHKN9WCM+Bj5KLyzMlrYGY12Sc8RU1/xjhvWZyuHYRQAUzBGPLw1GX51BFxzStaSpIPt4WcYTTEFY8TDOyu848zXs5UjKMPugdWrspaiNpcc7Y1LGUbBMQVjxIME/dS6D1WYOy1+WRqxdjX0EvjdcXD9WbBiCdz7h3z1SEYMgqfuyVoKw2iZpgpGRHYXkSdFZIKIjBeRc517XxF5S0TGuN9RvjAXi8hkEZkoIof73I9wbpNF5CKf+4dE5AURmSQi94jIlnFn1MghQ++Aealti+Txztsd/+dOg+tOhxt/CWOeSFcOw2gDgvRg1gPnq+o+eN/5PlNE9nXXrlXVA9xvMIC7dhywH97Hgv4qIt1EpBtwPXAksC9wvC+eK11ce+F9H75NDPllJERPYOKLyYlRD/EV+Q3rYeUy7/+6NenLkmd6CZz3+aylMApOUwWjqnNU9WX3fwUwAdi1QZCj8T5zukZVpwGTgYPdb7KqTlXVtcDdwNEiIsBXgPtc+FuBY6JmyMiKCCaySGFiJqxpb5P/HJnU4ua6M7zja89lK4dReEKNwYhID+BA4AXndJaIjBWRm0VkB+e2KzDTF2yWc6vnviOwVFXXV7nXSr+PiIwUkZELFiwII7pRFG79TdYSxM/qVd4CzaLwcL+sJTBKQmAFIyJbAwOB81R1OdAP+AhwADAH7zvqULtZqhHcuzqq9lfVnqras3v3VL6XY6TNnZdlk26Sg/w//hh8e4fm/gyjZARSMCKyBZ5yuVNV7wdQ1XmqukFVNwI34JnAwOuB7O4Lvhswu4H7QmB7Edm8yt0oImEq6igzz1qlOs3QMkSQeeGs8GHyyNtL8zfjzsg1QWaRCXATMEFVr/G57+Lz9i1gnPs/CDhORLYSkQ8BewEvAi8Be7kZY1viTQQYpKoKPAkc68L3Bh5qLVtG6mShLIrI3OkdEwuKxl/P8WbcjXw0a0mMghBkL7LPAycAr4rIGOf2K7xZYAfgmbOmA6cCqOp4EbkXeA1vBtqZqroBQETOAh4FugE3q2plf5ALgbtF5LfAaDyFZhjpkVar/MQPwQf/HwyYlE56cVJRjGtXZyuHURiaKhhVHU5tu8DgBmEuBy6v4T64VjhVnUqHic0oMnk3kcUlQysKafbk6GGDoArTXoUPf7L1uG79DfS+tLm/5YvgXVvDllu1nqZRGmwlv9E6qnDa/llLUQ5GDWk9jn/2857H6BgWjwaddHHsTvDro5r7M9oKUzBG69jOwvFxca/W45gy2jvG3lNq0tuz3RCMKkzBGK3jNzOFMh3lwERWoVQzo2K+rwtCzIIbclu8aRuFxhSMkS5r18AJH4IR/8wm/S6KpA1W5rfKzw8N7vf6s5OTwygcpmCMdFk6D+ZNhz+fkY9B/rAUSea4emXzqzYkbRivKWqjA1MwRsw0qWA26+a8bUxelGaUyizmo0hK0Cg1pmCM1olSUeelcq9UxnmRxzBKhCkYIzsyaWnHpEgKoZCayPjcQ96YWFCsZ2SExBSMES+FqHgNxg2HvsfATRdmLYlRYkzBGK1TZKXSrq3y5Yu845ypEQIX+HkbqWIKpiysXwdXngAzJ2YtSXCyqNzrKcOgSrIi86C/xCNPEgQZV4py74OEKXJjw4gdUzBl4Y2R3jfurzopWzkKV8FEVHJ3BNifqwgU7nkZRcIUTNnIosIo2gaXBrnaRcEoLaZgykIhK+4WZX7uIXjp3+HCtGoiKwJxlwVVWDQbnn2g47wZyxfDwGvLdV+N0AT5HoxhNMFXiaTZm+l7jHd8rIVKrJCKOQPu/UM4/3/sA8MHwvq18H2bqdauWA+mbBSmxVgUOQtMoLIQ9DkE9FdJ8+0l3vGmi7xPLTdjwSx4/I6AshhFwRRMabCWeCDqVrpBK9oi3OcAMobewSBgvjeshwf+5PVcKgz4dfNwv/wK/P4EWL0qoDxGETAFY7ROp0qqQAP+qu25Vcw7K+E330gm7nVroN953kLOCoOubx5u4VveMQ971BmxYQqmdOS9oixCD6As1CkL08f5vEQoL/NmhJ9c0Yx2VPRtgA3yl4WsewNFpF3vWaN8Tx1b233J3I7//c/3jq1MrjDaAuvBGK1TqFZnxBlvZaKRgjlt/9ruw+5uLU0bW2lLTMGUjawrzVlvwMrl2cqQJEXo9aRtbgqiPL753q5ub74Oh28Gb002E1lJMQVTFvJU8d34y+Z+GlUkb02C+W82Dv/Xc8PJVI883be08Oc5jgq9lvIIwtDbvfT/9Td45+3W5TByh43BGK1TXUm1Wlmc/FHv2MjG/+B10eK2FjK5m2hx31VZS2AkhPVgykYSFeiS+fDzQ2Hx3OZ+jexpZm7yTwV+5QnoJc17jIlQS9FZA6BMmIIpC0maev71N29dQ5D1DEZ8DLwWJrwQX3w/3Q/+++tw9sEdbuvcgsjxz8aXTlDa0TzZZpiJzAhO0FXwDXtR7tr6dXDv7+OQKhwLZ6WfZlT+9nPvGNd04Bmveb88YybMUmE9mLKRxAuaREtzxeL44wzCWZ/OJl2AKa+kk06UGVlZVOzWgyk9pmBKg72sibFkPpzZE2ZPgaXz6/tZu7rj/Kl7vckKG33jHacfkKychpEzTMEYIWiDb6nUYujtMGkUnPT/6vv5/s5w0WEd51f/2JtuvXpl8HRWLosuYy36nQurVsQbZ9KUvSy1GaZgjOaENmU0qCRyVYEEXNW/sckGjMPv947+DR436+biDbF545k9a7uPHgpr3gkej783W9lEMo+Yiaz0mIIpHTn/ZHIZufQ7Xd02c6/Whg3B45k9ubb7hV+D604PLxcQ+jsuqWIKpuw0VTAisruIPCkiE0RkvIic69zfJyJDRGSSO+7g3EVErhORySIyVkQO8sXV2/mfJCK9fe6fEpFXXZjrRKxpE5oi3LJf/Ec2M8fqkuA9i9KDacSM8dHCJak42r1hYTQlSA9mPXC+qu4DHAKcKSL7AhcBQ1V1L2CoOwc4EtjL/foA/cBTSMAlwGeAg4FLKkrJ+enjC3dE61kzYidohVLP3yvDoq/ATwQl1Me5wiDu1WpmXgtK1Mq8aEqgaPIaDWmqYFR1jqq+7P6vACYAuwJHA7c6b7cC7gPpHA3cph7PA9uLyC7A4cAQVV2sqkuAIcAR7tq2qjpCVRW4zReX0YwpYzqvws5kmnJBKoWZE2s4JiR7xUS2qs7Gn2G/p5JHBdNq3EXodRstEWoMRkR6AAcCLwA7q+oc8JQQ8H7nbVdgpi/YLOfWyH1WDfda6fcRkZEiMnLBggVhRC8vpx8IP9rTXlY/y+ussTll7/RkqJjIzj+09vUrfhAuvnqmttdGwJsTOrtFKQu2DsZIgMAKRkS2BgYC56lqo/3Y620wFNa9q6Nqf1Xtqao9u3fv3kxkIyiz3oB7/9DcX6smsjR4ZiAcu2M2W5/4qVSe9fZvC3uP6vk/73Pwk30bBQyXTuYUTV6jEYEUjIhsgadc7lRVNyeTec68hTtWVqDNAnb3Bd8NmN3Efbca7kYUolTuF3zJ22K/7pqJJi3NIGn2Oy+0WJEY+5R3fGNUOulFJfRzKqGJzCg9QWaRCXATMEFVr/FdGgRUZoL1Bh7yuZ/oZpMdAixzJrRHgV4isoMb3O8FPOqurRCRQ1xaJ/riMoLSirkhjW9xPPCn5NOAjrGPwLO3WjTTPPSXaPGGrZynjq0zhtSEXCuBGvco1/IaYQnSg/k8cALwFREZ435HAVcAh4nIJOAwdw4wGJgKTAZuAM4AUNXFwGXAS+53qXMDOB240YWZAjwSQ96M2CnCy+8qrbhmbzXj+rMjBoxwL/99U4LpRHm2RSgPRpY03U1ZVYdTvzn21Rr+FTizTlw3AzfXcB8JfLyZLEYQMphFlpdW54YNPlkzlimJexZlTU1enk0tat2jirz9L4A99oUjfpyuTEas2Hb9pSGGb5rHVhllUKktngvH7QJbvcc7D92DSVnmKD2sKGHyPAbTSAnfd7V3NAVTaEzBGOVg7jTvuGZVemk2qmCTmIJbth5MLSaPjm/3AyNzTMGUjSTXFtT9BG9KldjaNd5+XT3263qtW4Si3EnuBvctL+s1Io0r5bgHU4tfHR5/nEZm2GaXZaMoHxyLwh/7QJ+Pw9Iai2wlg6Kcdg8mKP6089qDWbsGBvw6aymMhDEFY8RAmE8mt8CrT3vHd2qs14lSoU94vnZcZSLJxbGtPOdnH4ge1igMZiIrG5E2ZgwYJuvWcCM5u1wLKOuox8L5zwuTXoZpY7OWwjAaYgqmbGStBNIgL3lcv7bBxYRNZGd+Kpi/RO9VC3HnxexqJIqZyIzGbNgAt/dt7Ke6EkuqUgvVg4mJJfPqD65/e4fa7rkiJ8q4GlMwbYH1YIzGvPQIrF3t/c9Lz6EmCVRYyxfB9z/Qsf1MNZX7EomU7mWSz+yJv0dfp5LFpAwjdewpF4mH/wa9pPamlEm1CNevSybeVqhVaSaR/5XLvGOU6cFJyLNuTfhNPJMc5L/mlPBhKlgPpi0wBVMkBrrVzYvndL0WR0u1+rsiEKwiKKuJrPJNl7BsWN+x8DNOBveHs3rCnKkhAuW012kKpi0wBVMk4v4MbzXnHtLEQ14qq7zIUYcB/51s/C8/3sRDAdbBJD0JwsgFpmDywE0XeaavZoqj0uqrtZVGGi3CV4Yln0ZDGuy3loRNP+o9nTImSOQdf9e8AxNfCh7/n04NLVLusB5MW2AKJg8MdJ/Z2bC+sb9N3zqpUcGm0VKdNApGPppN2pDNLLIoBJLFd8+uOQXOPrj1dEcNSefbPnGQp+dlJIbNIssDjXomnT0G9Bcj1RXBwrfSS7uohFW4b4xsPc15M+DiXvCFb0P3PVqTJw1sFllbYAomF4Tdar9G66+dWoRBZpFlVan2Eth6+3Bh4nh2lV2kZ7zWWcGowpk9YWoQs12KtFN5bWNMweSBRqavQtBE7oHXpiNGK8R5799eGjJAHJVtg0bK5JdjiD9mTMG0BdZPzQUpmb7mzai9E3HS/O3n8cQjKQ/ypzXTKY7KNi9f8gyKKZi2wHoweaBRxRknJ/Twekv/3hA9jkwrhgQH+fOyvX5UNkt4CrthRMB6MO1G2AooyNhG6qa9BNLL0jwZi3LLYAKIYTTBFEweyLW5IM+yGZuoV4YKO65nlAFTMHmiCJVBrYqsWu6Xh3izqRbV2NImDta8Ez7Motnhw6Sm+NtRibdjntsPUzC5opmCSUoB+V72+//YenSrlnvH155rPS4/lQo/6LdQ/By/azj/U8fCisXh04lC3IosSnxXnQTrGn3fxjDCYwrG6Mz//Sy+uDa2MJmgFo0qzrg33Dxt/2iKLCh++eJUMG8vgfsjTgtflsEMQ6PU2CyyPNG0Uoyws3GrBKn8RgyKHjZvzJvR8Z2XZlv3xEWc92nFkvjiSpIoed640TN1dt8tfnmMRLAeTB4IPE25wfWWFEuIsPPf9D405U/3utNaSLsBR24Bd1zWcR6mBxOVE3rAKXvHE1dgcqKI8z4GeM+V8MPdYdYbWUtiBMQUTNmIu9cwf0bn89v7whU/TGe9xYb1cNtvkk8na4rY08uC0e4zBfPfbOzvrUlw7E5eb9TIFFMweaKVFuScKd5x2quwdk3IwHUquLnT4S9nNQ6aRqv32QeTTyNL2lHBRMlz0J7+Izd6n7t+8q7waRixYgomF4Tc5qPWy3npdzr+3963VYE8an05s0KaC/quPzuAp5ybdzIjxH1Ja8wpMgGVUlo7YxhNMQVTRJq9OEvnx5NOkDGPVM0QbdjST5MLvpRs/NPGtRbeFEfhMAWTJ2J7cWKIZ8MGOPezDZJwafT+cOtpNcWlFWaQ/x9/gPXrYOWy5MQqG83GNlrl1E+0Fr5oG3oazRWMiNwsIvNFZJzPra+IvCUiY9zvKN+1i0VksohMFJHDfe5HOLfJInKRz/1DIvKCiEwSkXtEZMs4M1gIwtqjm/mPQ1FVvi+SZBpJsmIx/GQf+FbIb7OUjbw/pyjEMZ3fSIUgPZgBwBE13K9V1QPcbzCAiOwLHAfs58L8VUS6iUg34HrgSGBf4HjnF+BKF9dewBLglFYyVGjiqgziiKep0itAxTV7SnC/mVbEcW7XX8WLg1uPOxESHOTfRAHKaMlpqmBU9Wkg6J4ZRwN3q+oaVZ0GTAYOdr/JqjpVVdcCdwNHi4gAXwHuc+FvBY4JmYfykCcF06wCyFvLuJE8QWSN47PFYZkzLfn7+I8/JBt/qoQc5Dcyp5UxmLNEZKwzoe3g3HYFZvr8zHJu9dx3BJaq6voq95qISB8RGSkiIxcsaONtLcYNb3w9jhleaZjhwhK14ggi631XwX3XRIs/CmtXe+NXj9+eXpqlIWDZy1sjqA2JqmD6AR8BDgDmAFc791o1gEZwr4mq9lfVnqras3v37uEkLgQBX4ikVs77iUPB/PZ7HduutMLCt7w1OVFX8gdVuP3PDyVWLEx4Pv0080Ar62CSiNtIhEh7kanqvMp/EbkBeNidzgJ293ndDajsk17LfSGwvYhs7noxfv/tQyGnXwaUNco2+bW46qToYfN+X61CDEbY9yTvz70NiNSDEZFdfKffAiozzAYBx4nIViLyIWAv4EXgJWAvN2NsS7yJAINUVYEngWNd+N7AQ1FkMlogyDdeqgm6VUxcW8povQ5v0LB5Jc+y5YxKOW1aporYYCsnTXswInIX8GVgJxGZBVwCfFlEDsB7O6YDpwKo6ngRuRd4DVgPnKmqG1w8ZwGPAt2Am1V1vEviQuBuEfktMBq4KbbcFY0wL4Rqay3faa/Cbh+DzbeIuFYkaCsyrRX/MZjIjPSIVHZL1NObMw123AW2fFfWkiRKUwWjqsfXcK6rBFT1cuDyGu6DgS5zJlV1Kt4ss/YlygKyRgqmmaKa/yac+kn4+umw5761/TSLI6gyTGNTzGYsW5i1BClQosq3KQXvmaxb603w+MK34TcDs5YmUex7MEXCX6m3Mi13+SLvOGFE192SwWtdNftYWBZrEaIO8v9w9/rXjOIQdAwm72Na69d5x5f+na0cKWAKJk+EMpFtxLM2JkCQ7V/Mvh0P7Xofk5xFZuQG24ssF0RombVSMcVSqRVoHUxb0EaKqjRKuSz5qI8pmKKS9UuWdvp5XPgZB2tWwaRRWUtREGyrmKJhJrI8EaqSbOQ3YDyL58CUMSHS9CeRxctbwh5M267kL+GzNLpgPZg8ENT0E3SQPyhL5jX30yqpKaI2b61m1YNLM92ymEjLko8AmILJFXna7DIHaRjG6iafjahFIXfGKCemYPJEWoP8sZBy+mOfgpVL002zSBStBxO0FX/R16LFXwQyf4eTxxRMkYjbRNYKQdO/+sfxpTlnav1rWd+PdiXp+/7aiGTjb5VFc2BJTJ8oLyE2yJ8nYhvkzxGvv5C1BG1CQcpDLORooeXxH/SOj7XT/Q+O9WDyQJQVyq2s5I9jC/289RjyJk+taqHkAAAWNklEQVTbkLCJrNUweaSNyqopmCIRV8H82edjiKR9XhLDiJWjt85agtQwBRMnqvD4HR17DYWPIFxahlGhaIP8aaRp70jm2BhMnDx5F/z+BG8DyR/8V7Awi+d27Pab9kLLVuh/AcycmHw6QbHKpFgkaiIriSmtBJiCiZMVi73j4jnBw1xydLS0sq5Qn7wr2/SNzrRTD6YstMG9MxNZnERZ4OVXRtXhHr/DmwYZljYouF1pxzz7uPOybNI9oUc26QYi72Ui7/K1jimYJKiu4KeNg8mja/vt1O33hXt7qWdu+9XhwdIw2psn7swm3TC9daOK8pvyTMHESp0vU576CTjjoDpB6hSyypcgF8ysfd0UjFFUViyBC74cPXy9sr9kPvQSeH5Q9LizYMyTcES3jg8BlghTMHESxUQmvkfgD9fNfUys7pclTcF0IisTkRGeeo2mpjRp8U99xTvWsxbklXuu8BqUb4zMWpLYMQUTJ5EUjO+luepkn7t7NJWezMpl8OaEjuutLLQsIyMK1mptZySH1c5jA+DILVpYYhADJXxvc/iki0yLUy9fe66+v+vPCR+3YeSRzXJY7fztfNiw3mvIpU1ZdiioQQ6fdAkI0hKZNwO+syPMnhIsruqdhK0HYxSVKBXqymUwfGC4eKNaErKihO+tKZg4CVNIn7yrY91MLboUthZeHsPIE1FMZA9c5ztJsOzbl1pjxRRMIgQopIHNBC6uLsrLFIxRUDbrFj5MkMZbK72QStght0aPw+iCKZisaNqKa6JA/v7b2EQxjFRJyxwVqjfiZLrhF4mI0q6YgsmKoGYCrdODeegvjQJFEskwUiGKiayeUpryim9PvACK6/Lj4B9XBY8/Vcr33pqCiZMwhTSoiSyKTXj4/bBubfhwhpEGrVbm/nfi9APglL2Dh33qnvz1UqIsbygIpmCSIEhBafaS+eN4eyk8+0A4Gf59Uzj/hpEWefzYWJY9mDTSvut3cOUJyadThSmYqLz5etfvhYcpKIHNBBptvOXPZ8DaNeHDGUbSRKpQa4R5psm0ZaODW/4Lht6RerKmYKLyk33gvM9FD9/MRObvwWyot11ME8L2egyjSFx2bOfzOGaRGbFiCiYJAtlSAxboVuyyE0bAg3+OHr4olNB2bcRAmHKRhzKUBxlipqmCEZGbRWS+iIzzub1PRIaIyCR33MG5i4hcJyKTRWSsiBzkC9Pb+Z8kIr197p8SkVddmOtE2qQpEWYMJioPXgd/PcczlZXZXFbCF9Oowv++1HvecVYdU8d6u22kyS2/Kl1ZDtKDGQAcUeV2ETBUVfcChrpzgCOBvdyvD9APPIUEXAJ8BjgYuKSilJyfPr5w1Wm1N6qtvzjfeR98a7t45MkjJXspS0/Y5zX8AXjxX8nIUqH6HTtt/xQ+plb93ahXYdHshNNMl6YKRlWfBqr3NDkaqCx5vRU4xud+m3o8D2wvIrsAhwNDVHWxqi4BhgBHuGvbquoIVVXgNl9cBSTOzpcrfHFUnmtWwboS92BKuH7A8HHpt2Hc8Ob+4trtIu0GS4mNNlHHYHZW1TkA7vh+574r4P/Ywyzn1sh9Vg33mohIHxEZKSIjFyxYEFxa1ZQLTZxpNejBfG/nGNMpMNaDKRZ5f15Zypf3exOSuAf5a9WEGsG9JqraX1V7qmrP7t27B5fqR3umUxnH2RIJUtCWzo8vvSJTspfSaELSz9vKU2xEVTDznHkLd6zUdLOA3X3+dgNmN3HfrYZ7vCyYCctC9HjSIKgyimMMpuxYhVAcNqxv8JXWnPBwv+zSLllZjqpgBgGVmWC9gYd87ie62WSHAMucCe1RoJeI7OAG93sBj7prK0TkEDd77ERfXMXl0Vtg0ZzW4ihZQUsWu1eF4cgt4MKvJRR5TA2x68+OJx4j0DTlu4ARwMdEZJaInAJcARwmIpOAw9w5wGBgKjAZuAE4A0BVFwOXAS+536XODeB04EYXZgrwSDxZi4HJo2HViuD+/T2NEc30ZJh1MNaDaciZPbOWwAjDvOlZS1ADe8eSYPNmHlT1+DqXvlrDrwJn1onnZuDmGu4jgY83kyN11q6BMw6CA78GVw7JWhqjETPGZy2BkSoB18EEtQKseQcWt2hxyDO1do9OiXKt5FeFV5+Jx7ykG73j+ADTI5PATGSGkQ5/PSfe+JYugN8dD++8HTBAwr2nDHePLpeCeWYgnP9FGHxD63Ft2kJ7Y7TwpiAMoxjMeiPe+G7vC8PuhscGRAhcrnqjqYmsUMyd5h3fiqPAJPSNBlW4+WJvNk1jjz5RzD5sGJ1Yubyr24qq9eBB392436+g33dZtxbmTI037ZxRrh5MHIx8DEYPZVMFvzFiD6Ye89+Ee66E+66ON17DaCd+ul/n8w3roW/ETUAaKZjAZi5/fK5aDaLgrjq58/lFvTqfP/QXmDImvAw5oVw9mDj41eHe8Z+rnEOIHkyQDfmaUVn3otaDMYyaqMLCWZ3dfn9iMmmdfgAMmFz7Wr2Kv5F5vVm9MGti5/PKlOnHimk6K1cPJvOKOED6QXdRfvj/WhfHMNqFJ+9KJt7ZU+pfO/3A2u5hejAlH6stl4KJ82G1HFe9qZQBPzR2x//4wmStOA2jgDz3YOPryxfDOYfEvy1/mB5MvUlEvz8R+p0Xr1wZYCayZrRi6qpFU2VR7haNYaTGzNdh+njosV/t60/dA6+/EH+6m4XowUDtOuHx2+OTJ0PKpWDS3myyESLeAq5YCrD1YAwjEu802IkjMctAmB5MuRuU5VIwFfJgKlOFXx8FrwwLF27uNNisnI/FMGIhtk8hJ6RgwvZgSozVZHWJoXDUUi7NWk0nf7Sr22vPtS6LYbQjjSr5pHowDdfBVLulrITefD3V5Mo1yJ81SRXYV59OJl7DKD0ZKJhGJrKs+ck+qSZXLgWT5RjMhvXwx59GD28YRjDiMpGFrS9GPwG9xNtrrBGN4q01BlPiWaLlUjBxcsy24fyPf87b+qEp5S1MhpE7/udbsCGmD5wNdLtvJDHzrKTYGIyfMN9+qWbzLTqfl7hVYhiFYdlC74u2H+jRelxB9xhrRHXYCc8391NgytmDifqAWrFPBv4WRXkKj2EUgtjGQkI2GlVh7Wpv/8Gw4UpCORVMVBa+1UJg67EYRioMuTWc/7oVdtR3tokC8Dc2L/0O/GjPALKUk5IpmAwq+Yp9N6hJrM0KmGHEzujHw/mPqwcT1ETmv/7i4PDplKiOKJmCicDjt3szQ6Jsyw1w0ke8Y1ATWYkKj2EUgrjeubBjMP7tXjaFCRB2w7pQYuUZUzB3/693jLrhXdwb5RmGkQw/3rvFCAIqmIoi8m+9H0bJff3d4cTKMeVUMGEeZmX2V6utBjORGUa+qf7WStiZnn7/zdbCVFN579vs/S+Xgok0NTjtcZv2KmCGkTn1KvWw4yOb6heF0z4ZUoYcrupPgZKug8miErdZZIaRSyY8D9PHdXab8goMHxguHv8YzOK54cLG2YPZsB7eXgrb7dR6XAlTUgUTgjgWT/njaUabdZENI3OuOqmr28plCSZYoy6Iswdz3RnwyA3w8Duw5bviizcBymUi20SI3kQcCmbR7BqONeIb8N+mYAwjD0Qac22hrnhrMkwZE8/7//S93nHt6o5joG2q0qekCiblSvwHuwXrwfz9t6ZgDCMPXPOT8GH8YzBhOfUTcPqBsGZV+LD15KjUJV9/N5y8V+vxJkC5FExW+3+VfEdUwygd86ZHD9tKI/F7748etsImBeMzu4XdjiYlyqVgKoQqACG6vUsXwJN3N46nKdaDMYxCEtScnnhjsziN2XIqmDAE6fbOesM79j0G/vd4WDIvenpmIjOMYpI3K0UB6hJTMEG4/mzvuGCmd1y3JjtZDMNob+Ka+ZoC5Zqm3EoLo9HD2uhsnZs5fVzrA0Z/PSdYfAUoFIZhNKAo7/CKJfDSI5mK0FIPRkSmi8irIjJGREY6t/eJyBARmeSOOzh3EZHrRGSyiIwVkYN88fR2/ieJSO/WskS4AhCkNbCxsmOyu1215rS/+nTABAtSOA3DqCJgAzZpU1q9+Ks37L3yR3DFD5OVpQlxmMj+Q1UPUNWe7vwiYKiq7gUMdecARwJ7uV8foB94Cgm4BPgMcDBwSUUphcfd+If+HPwzqYEKg3b2G0SBFaWVYxhGSHLyblfXMWd+qvP5wlnpyVKHJMZgjgYqXwS6FTjG536bejwPbC8iuwCHA0NUdbGqLgGGAEe0LMUz97UcxSa0SsG0UsBM8RhGMWnWGF0y3/v0h3+b/kSpqksqk5E2kf2khFYVjAKPicgoEenj3HZW1TkA7liZ+L0rMNMXdpZzq+feGoEXNAXolajC0/fB7CnN/VZYvrB+XIZhlI+f7usdW1ljU4+1a+Bv58PK5bS0o0DKtDrI/3lVnS0i7weGiMjrDfzWUqfawL1rBJ4S6wOwxx57hJW1jlQBeiW60dv7Z9N5gAd71+/qxJX/QmEYRgNqvcOqsHxRcmk+dgsMvKZjwlE9OXJGSz0YVZ3tjvOBB/DGUOY50xfuON95nwXs7gu+GzC7gXut9Pqrak9V7dm9e/dmwoXNTuO4/N3jAjxYwzBiZvGc+teSrhPWu73TNqyLx1SfEpEVjIi8V0S2qfwHegHjgEFAZSZYb+Ah938QcKKbTXYIsMyZ0B4FeonIDm5wv5dziyJUx/+4FUynjlYrcee/UBiGUcWIQTD2qfrX02p0Nqvj+v2stt+MaKUHszMwXEReAV4E/qWq/wauAA4TkUnAYe4cYDAwFZgM3ACcAaCqi4HLgJfc71Ln1iJNxlSe+Lu3C2nQmWGb+W5VK4XJej+GUSwevwPGPNFxXvMdzuC9riXHA39MX44GRB6DUdWpwP413BcBX63hrsCZdeK6Gbg5qiyhGT3Umx9+jG9xZMOKv8pE9siNiYlmGEbO+P0Jzf1k0XAsQGO1uCv5W7m5U8d6x8H9O76pECat+6+NnnYBCoVhGA2oNUM1i/f6R3vA4Hx+B6ZCcfcim/RyV7cgYzDvvA39z/f+d1IuAbaKiQNTMIZRbP7Yp6tbmu+1v5774e7B/GVEcRVMLSa+2PH/pgtrr+ZfvbJ22GYmshwsWjIMI69k1HBsuLN79nVWeRTM2Kc7r6BdscQba4mDiS/B2GHxxHXqJ+KJxzCM/JAny8ToJ5r7SYnyKJhaX3SrtSllVKo3kjMMw6iQloIJks41P/aOOTCRFXeQv5paNzPMQx/1WHyyGIbRXiStYCqfAxl0feclE/VkWb4IJo1KVqYAlKcH0+ymN+POy+KRwzCMNiRFE1mQSUf9L0hejgCUR8EE39LMMAwjXhbMbO4nLVQ7tpbJmPIomFomstWrYPHc9GUxDKO9+Mm+WUvQQfXeiRlS7DGYccPh3VvDRw6off233+3qlqfZHoZhGLGTnzqu2Arm54d6xwsGBP96mykYwzDKjvVgYuSqk4L7jXPqsmEYRt7osvt7dpRnDCYo1oMxDKPMLJoNr7+QtRRAWyoY68EYhlFyZk3MWgKgLRWM9WAMwzDSoP0UTJw7IxuGYRh1aT8Fk6MpfIZhGGWm/RSM9WAMwzBSof0UzLMPZC2BYRhGW9BeCubFR+DGX2YthWEYRlvQXgrm10dlLYFhGEbb0F4KxjAMw0gNUzCGYRhGIpiCMQzDMBLBFIxhGIaRCKZgDMMwjEQwBWMYhmEkgikYwzAMIxFMwRiGYRiJYArGMAzDSARTMIZhGEYimIIxDMMwEiE3CkZEjhCRiSIyWUQuyloewzAMozVyoWBEpBtwPXAksC9wvIjsm61UhmEYRivkQsEABwOTVXWqqq4F7gaOzlgmwzAMowU2z1oAx67ATN/5LOAz1Z5EpA/Qx52ukSGMS0G2LNgJWJi1EAlR5rxB+fMH5c9j2fP3sbQSyouCkRpu2sVBtT/QH0BERqpqz6QFywLLW3Epe/6g/Hlsh/yllVZeTGSzgN1957sBszOSxTAMw4iBvCiYl4C9RORDIrIlcBwwKGOZDMMwjBbIhYlMVdeLyFnAo0A34GZVHd8kWP/kJcsMy1txKXv+oPx5tPzFhKh2GeowDMMwjJbJi4nMMAzDKBmmYAzDMIxESE3BiMjuIvKkiEwQkfEicq5zf5+IDBGRSe64g3PfW0RGiMgaEbmgKq7tReQ+EXndxffZOmnW3H5GRM5ybioiO5UsbzeJyCsiMtbFs3WJ8jZARKaJyBj3O6CVvOUwf8/48jZbRB5sNX85zONXRORlERknIreKSMvjwBnl72YRmS8i46rcv+tk2CgiLU91jitvIvIxX9kaIyLLReS8OmnGV2+qaio/YBfgIPd/G+ANvG1hfg9c5NwvAq50/98PfBq4HLigKq5bgZ+4/1sC29dIrxswBfiw8/MKsK+7diDQA5gO7FSyvG3r83dNJf2S5G0AcGxZy2WVv4HAiWXKI16DdibwUefvUuCUouXPXfsicBAwrsp9H7yFjMOAnnnKW9XzmQvsGfL9C11vxvaiRrhxDwGHAROBXXw3c2KVv77+GwVsC0zDTVBoEP9ngUd95xcDF1f5CXyjCpg3AfoBF5YlbySgYPKUP5/bNsASfI2FMuQR6I63JVTF/VBgcNHy5/PfgyoF47s2jBgUTFx5q7rWC3i2hfI5nYD1ZiZjMCLSA08bvgDsrKpzANzx/U2CfxhYANwiIqNF5EYReW8Nf7W2n9m1RdGbkoe8icgteC2UvYE/R8tJV/KQN+By8cx/14rIVtFyUpuc5A/gW8BQVV0eOhNNyDiPC4EtfKajY+m8wLplUspfJrSYNz/HAXfVuRZrvZm6ghFvTGAgcF7EF2hzvK5pP1U9EFiJ10XsklQNt0TnZOclb6p6MvBBYALw/QhydE0wH3m7GE9pfhp4H3BhBDlqkpP8VTie+hVAZLLOo3rN3+OAa0XkRWAFsD6CHDVJMX+pE0PeKvFsCXwT+Ec9LzXcItebqSoYEdkC7ybdqar3O+d5IrKLu74LML9JNLOAWar6gju/DzjIDYZVBrBOI+XtZ/KWN1XdANwDfKeVfDnZc5E3VZ2jHmuAW/B24W6ZvOTPpbUjXr7+1Wq+/OQlj6o6QlUPVdWDgaeBSQXMX6rElLcKRwIvq+o8FzbRejO1lfwiIsBNwARVvcZ3aRDQG7jCHR9qFI+qzhWRmSLyMVWdCHwVeE1VZwKbZhWJNztlLxH5EPAWXsvpB3HmyZdWLvLm5PiIqk52/78BvF6GvLlru6jqHCfTMdD6btp5yp/ju8DDqrq61bz50sxNHkXk/ao635k3L8QbjC5U/tIkrrz56NQ7TrzejDrYFPYHfAGvqzUWGON+RwE7AkPxWjJDgfc5/x/A06bLgaXu/7bu2gHASBfXg8AOddI8Cm/WxRTgv3zu57j41uNp5xvLkDe8HumzwKt4le+dtDhQnJe8OfcnfHm7A9i6TOXSXRsGHFHid+8PeKbbiXjmnqLm7y5gDrDOhT/FuX/Lna8B5uEbMM9B3t4DLAK2a5JmbPWmbRVjGIZhJIKt5DcMwzASwRSMYRiGkQimYAzDMIxEMAVjGIZhJIIpGMMwDCMRTMEYhmEYiWAKxjAMw0iE/w/WD4TLOf8lIAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create plot\n",
    "plt.plot(production.index, production['DE_solar_generation_actual'], c='OrangeRed')\n",
    "plt.title('Actual solar generation in Germany in MW')\n",
    "plt.xlim(pd.Timestamp('2016-01-01'), pd.Timestamp('2017-01-01'))\n",
    "plt.ylim(0, 27000)\n",
    "\n",
    "# save plot\n",
    "plt.savefig(\"figs/solar.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "production_wind_solar = production[['DE_wind_generation_actual', 'DE_solar_generation_actual']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.2. Weather data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read the data\n",
    "\n",
    "Next, we read the weather data for Germany in 2016 by reading the full csv file.\n",
    "\n",
    "The data in the file contains the following:\n",
    "\n",
    "* wind\n",
    "    - v1: velocity [m/s] @ height h1 (2 meters above displacement height)\n",
    "    - v2: velocity [m/s] @ height h2 (10 meters above displacement height)\n",
    "    - v_50m: velocity [m/s] @ 50 meters above ground\n",
    "    - h1: height above ground [m] (h1 = displacement height +2m)\n",
    "    - h2: height above ground [m] (h2 = displacement height +10m)\n",
    "    - z0: roughness length [m]\n",
    "* solar parameters:\n",
    "    - SWTDN: total top-of-the-atmosphere horizontal radiation [W/m²]\n",
    "    - SWGDN: total ground horizontal radiation [W/m²]\n",
    "* temperature data\n",
    "    - T: Temperature [K] @ 2 meters above displacement height (see h1)\n",
    "* air data\n",
    "    - Rho: air density [kg/m³] @ surface\n",
    "    - p: air pressure [Pa] @ surface"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather = pd.read_csv(\"data/weather_data_GER_2016.csv\",\n",
    "                     parse_dates=[0], index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cumulated hours</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "      <th>v_50m</th>\n",
       "      <th>h1</th>\n",
       "      <th>h2</th>\n",
       "      <th>z0</th>\n",
       "      <th>SWTDN</th>\n",
       "      <th>SWGDN</th>\n",
       "      <th>T</th>\n",
       "      <th>rho</th>\n",
       "      <th>p</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>5.625</td>\n",
       "      <td>0.81</td>\n",
       "      <td>1.88</td>\n",
       "      <td>3.36</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.052526</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.350159</td>\n",
       "      <td>1.236413</td>\n",
       "      <td>99282.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 01:00:00</th>\n",
       "      <td>1</td>\n",
       "      <td>47.5</td>\n",
       "      <td>5.625</td>\n",
       "      <td>0.77</td>\n",
       "      <td>1.61</td>\n",
       "      <td>2.63</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.052510</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.025665</td>\n",
       "      <td>1.239390</td>\n",
       "      <td>99300.164062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 02:00:00</th>\n",
       "      <td>2</td>\n",
       "      <td>47.5</td>\n",
       "      <td>5.625</td>\n",
       "      <td>0.66</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.89</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.052495</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.223755</td>\n",
       "      <td>1.243861</td>\n",
       "      <td>99310.992188</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     cumulated hours   lat    lon    v1    v2  v_50m  h1  h2  \\\n",
       "timestamp                                                                      \n",
       "2016-01-01 00:00:00                0  47.5  5.625  0.81  1.88   3.36   2  10   \n",
       "2016-01-01 01:00:00                1  47.5  5.625  0.77  1.61   2.63   2  10   \n",
       "2016-01-01 02:00:00                2  47.5  5.625  0.66  1.22   1.89   2  10   \n",
       "\n",
       "                           z0  SWTDN  SWGDN           T       rho  \\\n",
       "timestamp                                                           \n",
       "2016-01-01 00:00:00  0.052526    0.0    0.0  277.350159  1.236413   \n",
       "2016-01-01 01:00:00  0.052510    0.0    0.0  277.025665  1.239390   \n",
       "2016-01-01 02:00:00  0.052495    0.0    0.0  277.223755  1.243861   \n",
       "\n",
       "                                p  \n",
       "timestamp                          \n",
       "2016-01-01 00:00:00  99282.710938  \n",
       "2016-01-01 01:00:00  99300.164062  \n",
       "2016-01-01 02:00:00  99310.992188  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cumulated hours</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "      <th>v_50m</th>\n",
       "      <th>h1</th>\n",
       "      <th>h2</th>\n",
       "      <th>z0</th>\n",
       "      <th>SWTDN</th>\n",
       "      <th>SWGDN</th>\n",
       "      <th>T</th>\n",
       "      <th>rho</th>\n",
       "      <th>p</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-12-31 21:00:00</th>\n",
       "      <td>8781</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.49</td>\n",
       "      <td>12.65</td>\n",
       "      <td>14.38</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.001014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>278.634644</td>\n",
       "      <td>1.270996</td>\n",
       "      <td>101653.398438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31 22:00:00</th>\n",
       "      <td>8782</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.47</td>\n",
       "      <td>12.63</td>\n",
       "      <td>14.41</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.001009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>278.678162</td>\n",
       "      <td>1.270252</td>\n",
       "      <td>101609.484375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31 23:00:00</th>\n",
       "      <td>8783</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.39</td>\n",
       "      <td>12.53</td>\n",
       "      <td>14.33</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000993</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>278.720184</td>\n",
       "      <td>1.269202</td>\n",
       "      <td>101545.859375</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     cumulated hours   lat   lon     v1     v2  v_50m  h1  h2  \\\n",
       "timestamp                                                                       \n",
       "2016-12-31 21:00:00             8781  55.0  15.0  10.49  12.65  14.38   2  10   \n",
       "2016-12-31 22:00:00             8782  55.0  15.0  10.47  12.63  14.41   2  10   \n",
       "2016-12-31 23:00:00             8783  55.0  15.0  10.39  12.53  14.33   2  10   \n",
       "\n",
       "                           z0  SWTDN  SWGDN           T       rho  \\\n",
       "timestamp                                                           \n",
       "2016-12-31 21:00:00  0.001014    0.0    0.0  278.634644  1.270996   \n",
       "2016-12-31 22:00:00  0.001009    0.0    0.0  278.678162  1.270252   \n",
       "2016-12-31 23:00:00  0.000993    0.0    0.0  278.720184  1.269202   \n",
       "\n",
       "                                 p  \n",
       "timestamp                           \n",
       "2016-12-31 21:00:00  101653.398438  \n",
       "2016-12-31 22:00:00  101609.484375  \n",
       "2016-12-31 23:00:00  101545.859375  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 2248704 entries, 2016-01-01 00:00:00 to 2016-12-31 23:00:00\n",
      "Data columns (total 14 columns):\n",
      "cumulated hours    int64\n",
      "lat                float64\n",
      "lon                float64\n",
      "v1                 float64\n",
      "v2                 float64\n",
      "v_50m              float64\n",
      "h1                 int64\n",
      "h2                 int64\n",
      "z0                 float64\n",
      "SWTDN              float64\n",
      "SWGDN              float64\n",
      "T                  float64\n",
      "rho                float64\n",
      "p                  float64\n",
      "dtypes: float64(11), int64(3)\n",
      "memory usage: 257.3 MB\n"
     ]
    }
   ],
   "source": [
    "weather.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the data is given by chuncks of the German geographical territory, each determined by its latitute ('lat') and longitute ('lon'). Each chunck corresponds to the resolution of the MERRA-2 grid (which was used to obtain the data), which is 0.5º x 0.625º.\n",
    "\n",
    "For example, the data for the time 2016-01-01 00:00:00 is the following:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cumulated hours</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "      <th>v_50m</th>\n",
       "      <th>h1</th>\n",
       "      <th>h2</th>\n",
       "      <th>z0</th>\n",
       "      <th>SWTDN</th>\n",
       "      <th>SWGDN</th>\n",
       "      <th>T</th>\n",
       "      <th>rho</th>\n",
       "      <th>p</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>5.625</td>\n",
       "      <td>0.81</td>\n",
       "      <td>1.88</td>\n",
       "      <td>3.36</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.052526</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.350159</td>\n",
       "      <td>1.236413</td>\n",
       "      <td>99282.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>6.250</td>\n",
       "      <td>0.85</td>\n",
       "      <td>1.77</td>\n",
       "      <td>3.69</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.163823</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.609924</td>\n",
       "      <td>1.226037</td>\n",
       "      <td>98194.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>6.875</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.94</td>\n",
       "      <td>3.79</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0.286626</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.850159</td>\n",
       "      <td>1.205101</td>\n",
       "      <td>96186.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>7.500</td>\n",
       "      <td>0.84</td>\n",
       "      <td>1.68</td>\n",
       "      <td>2.82</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.109472</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.414612</td>\n",
       "      <td>1.200341</td>\n",
       "      <td>95874.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>8.125</td>\n",
       "      <td>0.74</td>\n",
       "      <td>1.56</td>\n",
       "      <td>2.51</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.066503</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.039612</td>\n",
       "      <td>1.202233</td>\n",
       "      <td>96050.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>8.750</td>\n",
       "      <td>0.76</td>\n",
       "      <td>1.49</td>\n",
       "      <td>2.37</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.051061</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.898987</td>\n",
       "      <td>1.201012</td>\n",
       "      <td>95842.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>9.375</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.082921</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.578674</td>\n",
       "      <td>1.181908</td>\n",
       "      <td>94178.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>10.000</td>\n",
       "      <td>0.88</td>\n",
       "      <td>1.59</td>\n",
       "      <td>2.32</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>0.398931</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>274.123596</td>\n",
       "      <td>1.146264</td>\n",
       "      <td>90998.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>10.625</td>\n",
       "      <td>0.81</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.93</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>0.813970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>273.670471</td>\n",
       "      <td>1.117516</td>\n",
       "      <td>88518.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>11.250</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.09</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>1.666021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>274.074768</td>\n",
       "      <td>1.118920</td>\n",
       "      <td>88486.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>11.875</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.59</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>1.786626</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>274.301331</td>\n",
       "      <td>1.123864</td>\n",
       "      <td>88834.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>12.500</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.98</td>\n",
       "      <td>1.32</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>1.786138</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>272.826721</td>\n",
       "      <td>1.114037</td>\n",
       "      <td>87786.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>13.125</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.90</td>\n",
       "      <td>1.44</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>1.750005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>272.853088</td>\n",
       "      <td>1.122155</td>\n",
       "      <td>88246.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>13.750</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.97</td>\n",
       "      <td>2.32</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>1.767095</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>271.089905</td>\n",
       "      <td>1.115258</td>\n",
       "      <td>87398.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>14.375</td>\n",
       "      <td>0.06</td>\n",
       "      <td>1.10</td>\n",
       "      <td>3.07</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>1.743657</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>271.062561</td>\n",
       "      <td>1.127038</td>\n",
       "      <td>88282.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>15.000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>1.39</td>\n",
       "      <td>3.48</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>1.716802</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>271.574768</td>\n",
       "      <td>1.149498</td>\n",
       "      <td>90066.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>5.625</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.90</td>\n",
       "      <td>4.12</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.052312</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.928284</td>\n",
       "      <td>1.234093</td>\n",
       "      <td>98314.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>6.250</td>\n",
       "      <td>0.65</td>\n",
       "      <td>1.67</td>\n",
       "      <td>3.36</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>0.424810</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.461487</td>\n",
       "      <td>1.224938</td>\n",
       "      <td>98010.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>6.875</td>\n",
       "      <td>0.38</td>\n",
       "      <td>1.68</td>\n",
       "      <td>3.16</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>1.153814</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.238831</td>\n",
       "      <td>1.210351</td>\n",
       "      <td>96674.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>7.500</td>\n",
       "      <td>0.88</td>\n",
       "      <td>1.79</td>\n",
       "      <td>2.89</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>0.238103</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.432190</td>\n",
       "      <td>1.224205</td>\n",
       "      <td>98114.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>8.125</td>\n",
       "      <td>0.31</td>\n",
       "      <td>1.19</td>\n",
       "      <td>2.32</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>1.438970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.115784</td>\n",
       "      <td>1.185936</td>\n",
       "      <td>94314.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>8.750</td>\n",
       "      <td>0.74</td>\n",
       "      <td>1.49</td>\n",
       "      <td>3.19</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.100133</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.313049</td>\n",
       "      <td>1.188744</td>\n",
       "      <td>94274.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>9.375</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.73</td>\n",
       "      <td>1.07</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.067174</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.361877</td>\n",
       "      <td>1.204918</td>\n",
       "      <td>95594.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>10.000</td>\n",
       "      <td>0.61</td>\n",
       "      <td>1.11</td>\n",
       "      <td>1.69</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.054891</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.195862</td>\n",
       "      <td>1.198937</td>\n",
       "      <td>95202.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>10.625</td>\n",
       "      <td>0.63</td>\n",
       "      <td>1.06</td>\n",
       "      <td>1.56</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.056585</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.238831</td>\n",
       "      <td>1.192711</td>\n",
       "      <td>94738.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>11.250</td>\n",
       "      <td>0.63</td>\n",
       "      <td>1.06</td>\n",
       "      <td>1.52</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>1.058110</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.305237</td>\n",
       "      <td>1.197228</td>\n",
       "      <td>95130.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>11.875</td>\n",
       "      <td>0.55</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.50</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>1.027349</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.055237</td>\n",
       "      <td>1.200097</td>\n",
       "      <td>95234.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>12.500</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.97</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>0.526128</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>274.383362</td>\n",
       "      <td>1.204918</td>\n",
       "      <td>95554.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>13.125</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1.55</td>\n",
       "      <td>2.73</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>0.620366</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>273.934143</td>\n",
       "      <td>1.210289</td>\n",
       "      <td>96058.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>13.750</td>\n",
       "      <td>0.33</td>\n",
       "      <td>1.30</td>\n",
       "      <td>3.03</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>1.231939</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>273.258362</td>\n",
       "      <td>1.203820</td>\n",
       "      <td>95066.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>6.875</td>\n",
       "      <td>9.24</td>\n",
       "      <td>11.03</td>\n",
       "      <td>12.56</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000708</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>281.645081</td>\n",
       "      <td>1.259362</td>\n",
       "      <td>101834.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>7.500</td>\n",
       "      <td>8.39</td>\n",
       "      <td>9.97</td>\n",
       "      <td>11.32</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000560</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>281.047424</td>\n",
       "      <td>1.263146</td>\n",
       "      <td>101930.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>8.125</td>\n",
       "      <td>7.17</td>\n",
       "      <td>8.62</td>\n",
       "      <td>9.96</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.006656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>279.953674</td>\n",
       "      <td>1.268517</td>\n",
       "      <td>102026.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>8.750</td>\n",
       "      <td>5.23</td>\n",
       "      <td>6.72</td>\n",
       "      <td>8.21</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.030370</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>278.254456</td>\n",
       "      <td>1.276574</td>\n",
       "      <td>102074.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.375</td>\n",
       "      <td>3.80</td>\n",
       "      <td>5.22</td>\n",
       "      <td>6.54</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.048879</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.445862</td>\n",
       "      <td>1.284508</td>\n",
       "      <td>102018.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>10.000</td>\n",
       "      <td>3.80</td>\n",
       "      <td>4.95</td>\n",
       "      <td>5.94</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.037725</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.432190</td>\n",
       "      <td>1.285363</td>\n",
       "      <td>102026.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>10.625</td>\n",
       "      <td>4.45</td>\n",
       "      <td>5.26</td>\n",
       "      <td>6.01</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.011167</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.459534</td>\n",
       "      <td>1.282677</td>\n",
       "      <td>102154.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>11.250</td>\n",
       "      <td>4.06</td>\n",
       "      <td>4.81</td>\n",
       "      <td>5.89</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.001355</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.416565</td>\n",
       "      <td>1.282067</td>\n",
       "      <td>102202.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>11.875</td>\n",
       "      <td>3.88</td>\n",
       "      <td>4.54</td>\n",
       "      <td>5.43</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.001585</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.705627</td>\n",
       "      <td>1.286705</td>\n",
       "      <td>102234.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>12.500</td>\n",
       "      <td>3.36</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.82</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.011331</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.990784</td>\n",
       "      <td>1.289879</td>\n",
       "      <td>102250.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>13.125</td>\n",
       "      <td>2.55</td>\n",
       "      <td>3.23</td>\n",
       "      <td>4.09</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.018911</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.254456</td>\n",
       "      <td>1.291955</td>\n",
       "      <td>102282.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>13.750</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.47</td>\n",
       "      <td>3.94</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.009179</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.674377</td>\n",
       "      <td>1.293175</td>\n",
       "      <td>102314.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>14.375</td>\n",
       "      <td>3.59</td>\n",
       "      <td>3.98</td>\n",
       "      <td>4.21</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.002818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.875549</td>\n",
       "      <td>1.295250</td>\n",
       "      <td>102378.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>15.000</td>\n",
       "      <td>4.12</td>\n",
       "      <td>4.54</td>\n",
       "      <td>4.68</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.001652</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.430237</td>\n",
       "      <td>1.299767</td>\n",
       "      <td>102418.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>5.625</td>\n",
       "      <td>10.90</td>\n",
       "      <td>13.21</td>\n",
       "      <td>15.47</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.001072</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>282.254456</td>\n",
       "      <td>1.251915</td>\n",
       "      <td>101562.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>6.250</td>\n",
       "      <td>10.31</td>\n",
       "      <td>12.43</td>\n",
       "      <td>14.46</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000929</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>282.164612</td>\n",
       "      <td>1.253869</td>\n",
       "      <td>101658.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>6.875</td>\n",
       "      <td>9.57</td>\n",
       "      <td>11.49</td>\n",
       "      <td>13.30</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000770</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>281.973206</td>\n",
       "      <td>1.256188</td>\n",
       "      <td>101762.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>7.500</td>\n",
       "      <td>8.70</td>\n",
       "      <td>10.42</td>\n",
       "      <td>12.16</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000620</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>281.586487</td>\n",
       "      <td>1.258629</td>\n",
       "      <td>101858.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>8.125</td>\n",
       "      <td>7.18</td>\n",
       "      <td>8.72</td>\n",
       "      <td>10.69</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.004010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>280.070862</td>\n",
       "      <td>1.264611</td>\n",
       "      <td>101938.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>8.750</td>\n",
       "      <td>5.17</td>\n",
       "      <td>6.84</td>\n",
       "      <td>9.00</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.032689</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>278.238831</td>\n",
       "      <td>1.272057</td>\n",
       "      <td>101898.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>9.375</td>\n",
       "      <td>4.04</td>\n",
       "      <td>5.65</td>\n",
       "      <td>7.59</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.045995</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.008362</td>\n",
       "      <td>1.277794</td>\n",
       "      <td>101842.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>10.000</td>\n",
       "      <td>4.22</td>\n",
       "      <td>5.46</td>\n",
       "      <td>6.57</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.031728</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.092346</td>\n",
       "      <td>1.280602</td>\n",
       "      <td>101922.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>10.625</td>\n",
       "      <td>4.15</td>\n",
       "      <td>5.15</td>\n",
       "      <td>6.26</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.017499</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.609924</td>\n",
       "      <td>1.279137</td>\n",
       "      <td>102026.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>11.250</td>\n",
       "      <td>3.55</td>\n",
       "      <td>4.44</td>\n",
       "      <td>5.91</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.011171</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.205627</td>\n",
       "      <td>1.280236</td>\n",
       "      <td>102082.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>11.875</td>\n",
       "      <td>3.08</td>\n",
       "      <td>3.94</td>\n",
       "      <td>5.53</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.016507</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.850159</td>\n",
       "      <td>1.281945</td>\n",
       "      <td>102106.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>12.500</td>\n",
       "      <td>3.71</td>\n",
       "      <td>4.36</td>\n",
       "      <td>5.06</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.006501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.781799</td>\n",
       "      <td>1.280602</td>\n",
       "      <td>102218.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>13.125</td>\n",
       "      <td>3.82</td>\n",
       "      <td>4.34</td>\n",
       "      <td>4.69</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.002311</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>277.668518</td>\n",
       "      <td>1.283288</td>\n",
       "      <td>102282.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>13.750</td>\n",
       "      <td>3.75</td>\n",
       "      <td>4.23</td>\n",
       "      <td>4.61</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.003382</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.957581</td>\n",
       "      <td>1.287438</td>\n",
       "      <td>102290.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>14.375</td>\n",
       "      <td>3.82</td>\n",
       "      <td>4.30</td>\n",
       "      <td>4.64</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000446</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.529846</td>\n",
       "      <td>1.290246</td>\n",
       "      <td>102298.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>15.000</td>\n",
       "      <td>4.15</td>\n",
       "      <td>4.66</td>\n",
       "      <td>4.99</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0.000250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>276.201721</td>\n",
       "      <td>1.293541</td>\n",
       "      <td>102346.710938</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>256 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            cumulated hours   lat     lon     v1     v2  v_50m  h1  h2  \\\n",
       "timestamp                                                                \n",
       "2016-01-01                0  47.5   5.625   0.81   1.88   3.36   2  10   \n",
       "2016-01-01                0  47.5   6.250   0.85   1.77   3.69   2  10   \n",
       "2016-01-01                0  47.5   6.875   0.94   1.94   3.79   3  11   \n",
       "2016-01-01                0  47.5   7.500   0.84   1.68   2.82   2  10   \n",
       "2016-01-01                0  47.5   8.125   0.74   1.56   2.51   2  10   \n",
       "2016-01-01                0  47.5   8.750   0.76   1.49   2.37   2  10   \n",
       "2016-01-01                0  47.5   9.375   0.75   1.27   1.83   2  10   \n",
       "2016-01-01                0  47.5  10.000   0.88   1.59   2.32   4  12   \n",
       "2016-01-01                0  47.5  10.625   0.81   1.38   1.93   6  14   \n",
       "2016-01-01                0  47.5  11.250   0.56   0.86   1.09  10  18   \n",
       "2016-01-01                0  47.5  11.875   0.33   0.47   0.59  11  19   \n",
       "2016-01-01                0  47.5  12.500   0.58   0.98   1.32  11  19   \n",
       "2016-01-01                0  47.5  13.125   0.26   0.90   1.44  10  18   \n",
       "2016-01-01                0  47.5  13.750   0.08   0.97   2.32  10  18   \n",
       "2016-01-01                0  47.5  14.375   0.06   1.10   3.07  10  18   \n",
       "2016-01-01                0  47.5  15.000   0.12   1.39   3.48  10  18   \n",
       "2016-01-01                0  48.0   5.625   1.90   2.90   4.12   2  10   \n",
       "2016-01-01                0  48.0   6.250   0.65   1.67   3.36   4  12   \n",
       "2016-01-01                0  48.0   6.875   0.38   1.68   3.16   7  15   \n",
       "2016-01-01                0  48.0   7.500   0.88   1.79   2.89   3  11   \n",
       "2016-01-01                0  48.0   8.125   0.31   1.19   2.32   9  17   \n",
       "2016-01-01                0  48.0   8.750   0.74   1.49   3.19   2  10   \n",
       "2016-01-01                0  48.0   9.375   0.48   0.73   1.07   2  10   \n",
       "2016-01-01                0  48.0  10.000   0.61   1.11   1.69   2  10   \n",
       "2016-01-01                0  48.0  10.625   0.63   1.06   1.56   2  10   \n",
       "2016-01-01                0  48.0  11.250   0.63   1.06   1.52   7  15   \n",
       "2016-01-01                0  48.0  11.875   0.55   1.00   1.50   7  15   \n",
       "2016-01-01                0  48.0  12.500   0.67   1.28   1.97   4  12   \n",
       "2016-01-01                0  48.0  13.125   0.67   1.55   2.73   5  13   \n",
       "2016-01-01                0  48.0  13.750   0.33   1.30   3.03   8  16   \n",
       "...                     ...   ...     ...    ...    ...    ...  ..  ..   \n",
       "2016-01-01                0  54.5   6.875   9.24  11.03  12.56   2  10   \n",
       "2016-01-01                0  54.5   7.500   8.39   9.97  11.32   2  10   \n",
       "2016-01-01                0  54.5   8.125   7.17   8.62   9.96   2  10   \n",
       "2016-01-01                0  54.5   8.750   5.23   6.72   8.21   2  10   \n",
       "2016-01-01                0  54.5   9.375   3.80   5.22   6.54   2  10   \n",
       "2016-01-01                0  54.5  10.000   3.80   4.95   5.94   2  10   \n",
       "2016-01-01                0  54.5  10.625   4.45   5.26   6.01   2  10   \n",
       "2016-01-01                0  54.5  11.250   4.06   4.81   5.89   2  10   \n",
       "2016-01-01                0  54.5  11.875   3.88   4.54   5.43   2  10   \n",
       "2016-01-01                0  54.5  12.500   3.36   4.02   4.82   2  10   \n",
       "2016-01-01                0  54.5  13.125   2.55   3.23   4.09   2  10   \n",
       "2016-01-01                0  54.5  13.750   3.00   3.47   3.94   2  10   \n",
       "2016-01-01                0  54.5  14.375   3.59   3.98   4.21   2  10   \n",
       "2016-01-01                0  54.5  15.000   4.12   4.54   4.68   2  10   \n",
       "2016-01-01                0  55.0   5.625  10.90  13.21  15.47   2  10   \n",
       "2016-01-01                0  55.0   6.250  10.31  12.43  14.46   2  10   \n",
       "2016-01-01                0  55.0   6.875   9.57  11.49  13.30   2  10   \n",
       "2016-01-01                0  55.0   7.500   8.70  10.42  12.16   2  10   \n",
       "2016-01-01                0  55.0   8.125   7.18   8.72  10.69   2  10   \n",
       "2016-01-01                0  55.0   8.750   5.17   6.84   9.00   2  10   \n",
       "2016-01-01                0  55.0   9.375   4.04   5.65   7.59   2  10   \n",
       "2016-01-01                0  55.0  10.000   4.22   5.46   6.57   2  10   \n",
       "2016-01-01                0  55.0  10.625   4.15   5.15   6.26   2  10   \n",
       "2016-01-01                0  55.0  11.250   3.55   4.44   5.91   2  10   \n",
       "2016-01-01                0  55.0  11.875   3.08   3.94   5.53   2  10   \n",
       "2016-01-01                0  55.0  12.500   3.71   4.36   5.06   2  10   \n",
       "2016-01-01                0  55.0  13.125   3.82   4.34   4.69   2  10   \n",
       "2016-01-01                0  55.0  13.750   3.75   4.23   4.61   2  10   \n",
       "2016-01-01                0  55.0  14.375   3.82   4.30   4.64   2  10   \n",
       "2016-01-01                0  55.0  15.000   4.15   4.66   4.99   2  10   \n",
       "\n",
       "                  z0  SWTDN  SWGDN           T       rho              p  \n",
       "timestamp                                                                \n",
       "2016-01-01  0.052526    0.0    0.0  277.350159  1.236413   99282.710938  \n",
       "2016-01-01  0.163823    0.0    0.0  277.609924  1.226037   98194.710938  \n",
       "2016-01-01  0.286626    0.0    0.0  276.850159  1.205101   96186.710938  \n",
       "2016-01-01  0.109472    0.0    0.0  276.414612  1.200341   95874.710938  \n",
       "2016-01-01  0.066503    0.0    0.0  276.039612  1.202233   96050.710938  \n",
       "2016-01-01  0.051061    0.0    0.0  275.898987  1.201012   95842.710938  \n",
       "2016-01-01  0.082921    0.0    0.0  275.578674  1.181908   94178.710938  \n",
       "2016-01-01  0.398931    0.0    0.0  274.123596  1.146264   90998.710938  \n",
       "2016-01-01  0.813970    0.0    0.0  273.670471  1.117516   88518.710938  \n",
       "2016-01-01  1.666021    0.0    0.0  274.074768  1.118920   88486.710938  \n",
       "2016-01-01  1.786626    0.0    0.0  274.301331  1.123864   88834.710938  \n",
       "2016-01-01  1.786138    0.0    0.0  272.826721  1.114037   87786.710938  \n",
       "2016-01-01  1.750005    0.0    0.0  272.853088  1.122155   88246.710938  \n",
       "2016-01-01  1.767095    0.0    0.0  271.089905  1.115258   87398.710938  \n",
       "2016-01-01  1.743657    0.0    0.0  271.062561  1.127038   88282.710938  \n",
       "2016-01-01  1.716802    0.0    0.0  271.574768  1.149498   90066.710938  \n",
       "2016-01-01  0.052312    0.0    0.0  276.928284  1.234093   98314.710938  \n",
       "2016-01-01  0.424810    0.0    0.0  277.461487  1.224938   98010.710938  \n",
       "2016-01-01  1.153814    0.0    0.0  277.238831  1.210351   96674.710938  \n",
       "2016-01-01  0.238103    0.0    0.0  276.432190  1.224205   98114.710938  \n",
       "2016-01-01  1.438970    0.0    0.0  275.115784  1.185936   94314.710938  \n",
       "2016-01-01  0.100133    0.0    0.0  275.313049  1.188744   94274.710938  \n",
       "2016-01-01  0.067174    0.0    0.0  275.361877  1.204918   95594.710938  \n",
       "2016-01-01  0.054891    0.0    0.0  275.195862  1.198937   95202.710938  \n",
       "2016-01-01  0.056585    0.0    0.0  275.238831  1.192711   94738.710938  \n",
       "2016-01-01  1.058110    0.0    0.0  275.305237  1.197228   95130.710938  \n",
       "2016-01-01  1.027349    0.0    0.0  275.055237  1.200097   95234.710938  \n",
       "2016-01-01  0.526128    0.0    0.0  274.383362  1.204918   95554.710938  \n",
       "2016-01-01  0.620366    0.0    0.0  273.934143  1.210289   96058.710938  \n",
       "2016-01-01  1.231939    0.0    0.0  273.258362  1.203820   95066.710938  \n",
       "...              ...    ...    ...         ...       ...            ...  \n",
       "2016-01-01  0.000708    0.0    0.0  281.645081  1.259362  101834.710938  \n",
       "2016-01-01  0.000560    0.0    0.0  281.047424  1.263146  101930.710938  \n",
       "2016-01-01  0.006656    0.0    0.0  279.953674  1.268517  102026.710938  \n",
       "2016-01-01  0.030370    0.0    0.0  278.254456  1.276574  102074.710938  \n",
       "2016-01-01  0.048879    0.0    0.0  276.445862  1.284508  102018.710938  \n",
       "2016-01-01  0.037725    0.0    0.0  276.432190  1.285363  102026.710938  \n",
       "2016-01-01  0.011167    0.0    0.0  277.459534  1.282677  102154.710938  \n",
       "2016-01-01  0.001355    0.0    0.0  277.416565  1.282067  102202.710938  \n",
       "2016-01-01  0.001585    0.0    0.0  276.705627  1.286705  102234.710938  \n",
       "2016-01-01  0.011331    0.0    0.0  275.990784  1.289879  102250.710938  \n",
       "2016-01-01  0.018911    0.0    0.0  275.254456  1.291955  102282.710938  \n",
       "2016-01-01  0.009179    0.0    0.0  275.674377  1.293175  102314.710938  \n",
       "2016-01-01  0.002818    0.0    0.0  275.875549  1.295250  102378.710938  \n",
       "2016-01-01  0.001652    0.0    0.0  275.430237  1.299767  102418.710938  \n",
       "2016-01-01  0.001072    0.0    0.0  282.254456  1.251915  101562.710938  \n",
       "2016-01-01  0.000929    0.0    0.0  282.164612  1.253869  101658.710938  \n",
       "2016-01-01  0.000770    0.0    0.0  281.973206  1.256188  101762.710938  \n",
       "2016-01-01  0.000620    0.0    0.0  281.586487  1.258629  101858.710938  \n",
       "2016-01-01  0.004010    0.0    0.0  280.070862  1.264611  101938.710938  \n",
       "2016-01-01  0.032689    0.0    0.0  278.238831  1.272057  101898.710938  \n",
       "2016-01-01  0.045995    0.0    0.0  277.008362  1.277794  101842.710938  \n",
       "2016-01-01  0.031728    0.0    0.0  277.092346  1.280602  101922.710938  \n",
       "2016-01-01  0.017499    0.0    0.0  277.609924  1.279137  102026.710938  \n",
       "2016-01-01  0.011171    0.0    0.0  277.205627  1.280236  102082.710938  \n",
       "2016-01-01  0.016507    0.0    0.0  276.850159  1.281945  102106.710938  \n",
       "2016-01-01  0.006501    0.0    0.0  277.781799  1.280602  102218.710938  \n",
       "2016-01-01  0.002311    0.0    0.0  277.668518  1.283288  102282.710938  \n",
       "2016-01-01  0.003382    0.0    0.0  276.957581  1.287438  102290.710938  \n",
       "2016-01-01  0.000446    0.0    0.0  276.529846  1.290246  102298.710938  \n",
       "2016-01-01  0.000250    0.0    0.0  276.201721  1.293541  102346.710938  \n",
       "\n",
       "[256 rows x 14 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather.loc[weather.index == '2016-01-01 00:00:00', :]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Therefore, for any given hour, we have data for 256 'chuncks' of Germany. Dividing the total number of entries by the number of 'chuncks' returns the expected number of hours of a leap year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8784.0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2248704/256"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Averaging over all the 'chuncks':"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather_by_day = weather.groupby(weather.index).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cumulated hours</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "      <th>v_50m</th>\n",
       "      <th>h1</th>\n",
       "      <th>h2</th>\n",
       "      <th>z0</th>\n",
       "      <th>SWTDN</th>\n",
       "      <th>SWGDN</th>\n",
       "      <th>T</th>\n",
       "      <th>rho</th>\n",
       "      <th>p</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.616758</td>\n",
       "      <td>3.714414</td>\n",
       "      <td>5.132500</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164370</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.296747</td>\n",
       "      <td>1.253185</td>\n",
       "      <td>99281.007812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 01:00:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.564375</td>\n",
       "      <td>3.631055</td>\n",
       "      <td>4.976094</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164331</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.255473</td>\n",
       "      <td>1.253778</td>\n",
       "      <td>99288.492188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 02:00:00</th>\n",
       "      <td>2.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.480859</td>\n",
       "      <td>3.516328</td>\n",
       "      <td>4.794688</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164288</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.217089</td>\n",
       "      <td>1.254304</td>\n",
       "      <td>99296.398438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 03:00:00</th>\n",
       "      <td>3.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.397148</td>\n",
       "      <td>3.404961</td>\n",
       "      <td>4.664023</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164239</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.211715</td>\n",
       "      <td>1.254562</td>\n",
       "      <td>99306.695312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 04:00:00</th>\n",
       "      <td>4.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.305703</td>\n",
       "      <td>3.286602</td>\n",
       "      <td>4.566289</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164199</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.193369</td>\n",
       "      <td>1.254733</td>\n",
       "      <td>99319.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 05:00:00</th>\n",
       "      <td>5.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.207227</td>\n",
       "      <td>3.160312</td>\n",
       "      <td>4.445078</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164153</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.184228</td>\n",
       "      <td>1.254969</td>\n",
       "      <td>99336.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 06:00:00</th>\n",
       "      <td>6.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.099336</td>\n",
       "      <td>3.027148</td>\n",
       "      <td>4.291758</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164116</td>\n",
       "      <td>0.029503</td>\n",
       "      <td>0.002406</td>\n",
       "      <td>275.151314</td>\n",
       "      <td>1.255247</td>\n",
       "      <td>99357.078125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 07:00:00</th>\n",
       "      <td>7.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.001992</td>\n",
       "      <td>2.903750</td>\n",
       "      <td>4.116836</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.164068</td>\n",
       "      <td>32.701265</td>\n",
       "      <td>4.885147</td>\n",
       "      <td>275.175961</td>\n",
       "      <td>1.255487</td>\n",
       "      <td>99383.765625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 08:00:00</th>\n",
       "      <td>8.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.061836</td>\n",
       "      <td>2.915977</td>\n",
       "      <td>3.855273</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.164031</td>\n",
       "      <td>167.523132</td>\n",
       "      <td>34.330536</td>\n",
       "      <td>275.612767</td>\n",
       "      <td>1.255295</td>\n",
       "      <td>99415.406250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 09:00:00</th>\n",
       "      <td>9.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.112539</td>\n",
       "      <td>2.905078</td>\n",
       "      <td>3.583516</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163995</td>\n",
       "      <td>287.432617</td>\n",
       "      <td>78.543579</td>\n",
       "      <td>276.160692</td>\n",
       "      <td>1.254251</td>\n",
       "      <td>99436.265625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 10:00:00</th>\n",
       "      <td>10.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.047969</td>\n",
       "      <td>2.776602</td>\n",
       "      <td>3.340352</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163951</td>\n",
       "      <td>358.452148</td>\n",
       "      <td>116.500275</td>\n",
       "      <td>276.698255</td>\n",
       "      <td>1.252322</td>\n",
       "      <td>99428.968750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 11:00:00</th>\n",
       "      <td>11.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>1.911523</td>\n",
       "      <td>2.582539</td>\n",
       "      <td>3.092773</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163912</td>\n",
       "      <td>375.738281</td>\n",
       "      <td>134.623901</td>\n",
       "      <td>277.156940</td>\n",
       "      <td>1.250017</td>\n",
       "      <td>99399.437500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 12:00:00</th>\n",
       "      <td>12.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>1.731445</td>\n",
       "      <td>2.361875</td>\n",
       "      <td>2.867461</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163870</td>\n",
       "      <td>338.113037</td>\n",
       "      <td>124.632446</td>\n",
       "      <td>277.413811</td>\n",
       "      <td>1.248167</td>\n",
       "      <td>99369.289062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 13:00:00</th>\n",
       "      <td>13.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>1.426953</td>\n",
       "      <td>2.038047</td>\n",
       "      <td>2.688203</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163833</td>\n",
       "      <td>248.132080</td>\n",
       "      <td>87.318741</td>\n",
       "      <td>277.306795</td>\n",
       "      <td>1.247254</td>\n",
       "      <td>99346.148438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 14:00:00</th>\n",
       "      <td>14.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>1.091406</td>\n",
       "      <td>1.761680</td>\n",
       "      <td>2.742617</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163795</td>\n",
       "      <td>113.059875</td>\n",
       "      <td>33.667662</td>\n",
       "      <td>276.545491</td>\n",
       "      <td>1.247368</td>\n",
       "      <td>99328.453125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 15:00:00</th>\n",
       "      <td>15.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>1.112891</td>\n",
       "      <td>1.874336</td>\n",
       "      <td>3.110781</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163760</td>\n",
       "      <td>8.461687</td>\n",
       "      <td>1.855964</td>\n",
       "      <td>275.706389</td>\n",
       "      <td>1.248087</td>\n",
       "      <td>99311.734375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 16:00:00</th>\n",
       "      <td>16.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>1.371055</td>\n",
       "      <td>2.213437</td>\n",
       "      <td>3.549258</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163721</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.486617</td>\n",
       "      <td>1.249090</td>\n",
       "      <td>99289.906250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 17:00:00</th>\n",
       "      <td>17.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>1.671875</td>\n",
       "      <td>2.600195</td>\n",
       "      <td>4.012930</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163687</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.280497</td>\n",
       "      <td>1.250165</td>\n",
       "      <td>99255.312500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 18:00:00</th>\n",
       "      <td>18.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>1.950234</td>\n",
       "      <td>2.967305</td>\n",
       "      <td>4.468164</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163660</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>275.041161</td>\n",
       "      <td>1.251209</td>\n",
       "      <td>99210.710938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 19:00:00</th>\n",
       "      <td>19.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.194336</td>\n",
       "      <td>3.288164</td>\n",
       "      <td>4.867109</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>274.800643</td>\n",
       "      <td>1.252238</td>\n",
       "      <td>99158.867188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 20:00:00</th>\n",
       "      <td>20.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.412812</td>\n",
       "      <td>3.566445</td>\n",
       "      <td>5.198477</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163597</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>274.572911</td>\n",
       "      <td>1.253178</td>\n",
       "      <td>99098.531250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 21:00:00</th>\n",
       "      <td>21.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.611875</td>\n",
       "      <td>3.809375</td>\n",
       "      <td>5.486484</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163561</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>274.356602</td>\n",
       "      <td>1.253980</td>\n",
       "      <td>99038.382812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 22:00:00</th>\n",
       "      <td>22.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.840469</td>\n",
       "      <td>4.101445</td>\n",
       "      <td>5.783359</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163531</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>274.167320</td>\n",
       "      <td>1.254680</td>\n",
       "      <td>98987.726562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 23:00:00</th>\n",
       "      <td>23.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>3.075664</td>\n",
       "      <td>4.406797</td>\n",
       "      <td>6.074883</td>\n",
       "      <td>2.542969</td>\n",
       "      <td>10.542969</td>\n",
       "      <td>0.163504</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>273.999309</td>\n",
       "      <td>1.255226</td>\n",
       "      <td>98935.304688</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     cumulated hours    lat      lon        v1        v2  \\\n",
       "timestamp                                                                  \n",
       "2016-01-01 00:00:00              0.0  51.25  10.3125  2.616758  3.714414   \n",
       "2016-01-01 01:00:00              1.0  51.25  10.3125  2.564375  3.631055   \n",
       "2016-01-01 02:00:00              2.0  51.25  10.3125  2.480859  3.516328   \n",
       "2016-01-01 03:00:00              3.0  51.25  10.3125  2.397148  3.404961   \n",
       "2016-01-01 04:00:00              4.0  51.25  10.3125  2.305703  3.286602   \n",
       "2016-01-01 05:00:00              5.0  51.25  10.3125  2.207227  3.160312   \n",
       "2016-01-01 06:00:00              6.0  51.25  10.3125  2.099336  3.027148   \n",
       "2016-01-01 07:00:00              7.0  51.25  10.3125  2.001992  2.903750   \n",
       "2016-01-01 08:00:00              8.0  51.25  10.3125  2.061836  2.915977   \n",
       "2016-01-01 09:00:00              9.0  51.25  10.3125  2.112539  2.905078   \n",
       "2016-01-01 10:00:00             10.0  51.25  10.3125  2.047969  2.776602   \n",
       "2016-01-01 11:00:00             11.0  51.25  10.3125  1.911523  2.582539   \n",
       "2016-01-01 12:00:00             12.0  51.25  10.3125  1.731445  2.361875   \n",
       "2016-01-01 13:00:00             13.0  51.25  10.3125  1.426953  2.038047   \n",
       "2016-01-01 14:00:00             14.0  51.25  10.3125  1.091406  1.761680   \n",
       "2016-01-01 15:00:00             15.0  51.25  10.3125  1.112891  1.874336   \n",
       "2016-01-01 16:00:00             16.0  51.25  10.3125  1.371055  2.213437   \n",
       "2016-01-01 17:00:00             17.0  51.25  10.3125  1.671875  2.600195   \n",
       "2016-01-01 18:00:00             18.0  51.25  10.3125  1.950234  2.967305   \n",
       "2016-01-01 19:00:00             19.0  51.25  10.3125  2.194336  3.288164   \n",
       "2016-01-01 20:00:00             20.0  51.25  10.3125  2.412812  3.566445   \n",
       "2016-01-01 21:00:00             21.0  51.25  10.3125  2.611875  3.809375   \n",
       "2016-01-01 22:00:00             22.0  51.25  10.3125  2.840469  4.101445   \n",
       "2016-01-01 23:00:00             23.0  51.25  10.3125  3.075664  4.406797   \n",
       "\n",
       "                        v_50m        h1         h2        z0       SWTDN  \\\n",
       "timestamp                                                                  \n",
       "2016-01-01 00:00:00  5.132500  2.546875  10.546875  0.164370    0.000000   \n",
       "2016-01-01 01:00:00  4.976094  2.546875  10.546875  0.164331    0.000000   \n",
       "2016-01-01 02:00:00  4.794688  2.546875  10.546875  0.164288    0.000000   \n",
       "2016-01-01 03:00:00  4.664023  2.546875  10.546875  0.164239    0.000000   \n",
       "2016-01-01 04:00:00  4.566289  2.546875  10.546875  0.164199    0.000000   \n",
       "2016-01-01 05:00:00  4.445078  2.546875  10.546875  0.164153    0.000000   \n",
       "2016-01-01 06:00:00  4.291758  2.546875  10.546875  0.164116    0.029503   \n",
       "2016-01-01 07:00:00  4.116836  2.542969  10.542969  0.164068   32.701265   \n",
       "2016-01-01 08:00:00  3.855273  2.542969  10.542969  0.164031  167.523132   \n",
       "2016-01-01 09:00:00  3.583516  2.542969  10.542969  0.163995  287.432617   \n",
       "2016-01-01 10:00:00  3.340352  2.542969  10.542969  0.163951  358.452148   \n",
       "2016-01-01 11:00:00  3.092773  2.542969  10.542969  0.163912  375.738281   \n",
       "2016-01-01 12:00:00  2.867461  2.542969  10.542969  0.163870  338.113037   \n",
       "2016-01-01 13:00:00  2.688203  2.542969  10.542969  0.163833  248.132080   \n",
       "2016-01-01 14:00:00  2.742617  2.542969  10.542969  0.163795  113.059875   \n",
       "2016-01-01 15:00:00  3.110781  2.542969  10.542969  0.163760    8.461687   \n",
       "2016-01-01 16:00:00  3.549258  2.542969  10.542969  0.163721    0.000000   \n",
       "2016-01-01 17:00:00  4.012930  2.542969  10.542969  0.163687    0.000000   \n",
       "2016-01-01 18:00:00  4.468164  2.542969  10.542969  0.163660    0.000000   \n",
       "2016-01-01 19:00:00  4.867109  2.542969  10.542969  0.163624    0.000000   \n",
       "2016-01-01 20:00:00  5.198477  2.542969  10.542969  0.163597    0.000000   \n",
       "2016-01-01 21:00:00  5.486484  2.542969  10.542969  0.163561    0.000000   \n",
       "2016-01-01 22:00:00  5.783359  2.542969  10.542969  0.163531    0.000000   \n",
       "2016-01-01 23:00:00  6.074883  2.542969  10.542969  0.163504    0.000000   \n",
       "\n",
       "                          SWGDN           T       rho             p  \n",
       "timestamp                                                            \n",
       "2016-01-01 00:00:00    0.000000  275.296747  1.253185  99281.007812  \n",
       "2016-01-01 01:00:00    0.000000  275.255473  1.253778  99288.492188  \n",
       "2016-01-01 02:00:00    0.000000  275.217089  1.254304  99296.398438  \n",
       "2016-01-01 03:00:00    0.000000  275.211715  1.254562  99306.695312  \n",
       "2016-01-01 04:00:00    0.000000  275.193369  1.254733  99319.750000  \n",
       "2016-01-01 05:00:00    0.000000  275.184228  1.254969  99336.710938  \n",
       "2016-01-01 06:00:00    0.002406  275.151314  1.255247  99357.078125  \n",
       "2016-01-01 07:00:00    4.885147  275.175961  1.255487  99383.765625  \n",
       "2016-01-01 08:00:00   34.330536  275.612767  1.255295  99415.406250  \n",
       "2016-01-01 09:00:00   78.543579  276.160692  1.254251  99436.265625  \n",
       "2016-01-01 10:00:00  116.500275  276.698255  1.252322  99428.968750  \n",
       "2016-01-01 11:00:00  134.623901  277.156940  1.250017  99399.437500  \n",
       "2016-01-01 12:00:00  124.632446  277.413811  1.248167  99369.289062  \n",
       "2016-01-01 13:00:00   87.318741  277.306795  1.247254  99346.148438  \n",
       "2016-01-01 14:00:00   33.667662  276.545491  1.247368  99328.453125  \n",
       "2016-01-01 15:00:00    1.855964  275.706389  1.248087  99311.734375  \n",
       "2016-01-01 16:00:00    0.000000  275.486617  1.249090  99289.906250  \n",
       "2016-01-01 17:00:00    0.000000  275.280497  1.250165  99255.312500  \n",
       "2016-01-01 18:00:00    0.000000  275.041161  1.251209  99210.710938  \n",
       "2016-01-01 19:00:00    0.000000  274.800643  1.252238  99158.867188  \n",
       "2016-01-01 20:00:00    0.000000  274.572911  1.253178  99098.531250  \n",
       "2016-01-01 21:00:00    0.000000  274.356602  1.253980  99038.382812  \n",
       "2016-01-01 22:00:00    0.000000  274.167320  1.254680  98987.726562  \n",
       "2016-01-01 23:00:00    0.000000  273.999309  1.255226  98935.304688  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_by_day.head(24)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot the various weather-related quantities during 2016 to get a better idea of the properties of the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create plot\n",
    "plt.plot(weather_by_day.index, weather_by_day['v2'])\n",
    "plt.title('Wind velocity 10 m above displacement height (m/s)')\n",
    "plt.xlim(pd.Timestamp('2016-01-01'), pd.Timestamp('2017-01-01'))\n",
    "plt.ylim(0, 12)\n",
    "\n",
    "# save plot\n",
    "plt.savefig(\"figs/v1.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create plot\n",
    "plt.plot(weather_by_day.index, weather_by_day['SWGDN'], c='OrangeRed')\n",
    "plt.title('Ground horizontal radiation (W/m²)')\n",
    "plt.xlim(pd.Timestamp('2016-01-01'), pd.Timestamp('2017-01-01'))\n",
    "plt.ylim(0, 1000)\n",
    "\n",
    "# save plot\n",
    "plt.savefig(\"figs/radiation.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create plot\n",
    "plt.plot(weather_by_day.index, weather_by_day['T'], c='OrangeRed')\n",
    "plt.title('Temperature (K)')\n",
    "plt.xlim(pd.Timestamp('2016-01-01'), pd.Timestamp('2017-01-01'))\n",
    "plt.ylim(263, 303)\n",
    "\n",
    "# save plot\n",
    "plt.savefig(\"figs/temperature_K.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use the more common Celsius units for the temperature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather_by_day['T (C)'] = weather_by_day['T'] - 273.15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAEICAYAAABI7RO5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJztnXe4FDX3x7/nXi6iVBEUFJUiiKgIivVVbNj92QvYsIEF7FiwvPbeuyJSrKjYFRU78loBFRBEiihNmiBF4Lb8/sgMm52dkqk7u3s+z3Ofmclkksze3Zycc5ITEkKAYRiGYXQpy3cDGIZhmMKCBQfDMAzjCxYcDMMwjC9YcDAMwzC+YMHBMAzD+IIFB8MwDOMLFhwMUwAQ0UZE9CsRNQtZzhNEdGZEzWJKFBYcTCwQ0Srlr5aI1ijXp+a7fWEgor+IaO+Eq+0H4EMhxBKjDRcQ0ZfG32lK28qI6AoimkJEq4loDhGNIKJORpZ7ANxEROUJt58pIurkuwFMcSKEaGCeE9FsAOcKIT7JX4v0IKI6QojqFNZxHoCTjec3B9AXwK4AygH8SETvCiH+AfAUgP0A9AHwDYAKACcAOBzAFCHEbCKaA+AwAO9F8DpMCcIaB5MXiKiciG4gollEtISIXiSiJsa9jkRUTUTnENE8IlpKRGcT0Z5ENJmIlhPRA0pZ5xPRZ0T0NBGtMEbb3ZX7TYnoOUNTmENENxJRmeXZx4loGYBrjPq/IKK/iWgxEQ0nooZG/tcAbApgtKE9XUxEhxLRDMv7rddKiOguInqJiF4hopUAerq9v81n1cGoc4KR1B7Az0KIaiHEOgC/AdiaiHYAcA6AE4UQXwohKoUQq4UQw4UQ9ylFfgHgiID/OoZhwcHkjSsBHAxgbwCtAFQBeFC5Xw6gM4C2AM4C8CiAAQD2NdLPIqLdlfzdAfwMYBMAdwF4i4gaGfdeBPCPUdZuAI4BcLrl2Z8ANANwv5F2C4AWAHYEsC2A6wBACHEigEUADhZCNBBCPKL5vscDGA6gMYDXNd5fZUcA00UmPtAMADsRUR0iqme07w8APQDMEEL87NGWqQB20mw3w+TAgoPJF+cBuEYIMV8IsRbAzQBOJiJS8twihFgnhHjHuH5OCLFUCPEngK8BdFXyzhFCPCGEqBJCPAdgLoBDiGhrSMFwuRDiXyHEAgCPAOipPDtLCPGMEKJGCLFGCPGrEOIzY8T+F4CHIAVWGL4UQowSQtQKIdZovr9JEwArzQshxDwAgyA1h08B3GGYqTYBsECjLSuNMhkmEOzjYBLH6By3BDCKiNQom2WQnR8A1Aghlir31gBYaLluoFzPtVTzB4DNAWwNoB6AxUqfXAY5ajeZY2nf5gAeBrAXgIZGfp0O2Y31dWi8/xLLs8uMdpjPbwjp7zD9JGcCeB7AUgAtNdrSEMByf81nmAwsOJjEEUIIIpoH4DghxHjr/YBTTltZrrcCMB+yw14FYGPF1JPTJMv1vQBWA9hBCLGMiHoCuM0l/2oAG5kXRFQBoKlTHV7vb8NEANsQEQnJGkgHuJVPANxPRJ2FEBNdytsO0qzHMIFgUxWTL54CcBcRbQkARLQpEf1fiPK2NBzddYzpqVsBGC2E+B3AtwDuIaKGxnTV9h7TaRtCCpsVRLQVgMst9xdC+ktMpgJoSkQHGkLjZnj/trTfXwgxw6izq919Jd9kAEMAvEpE+xBRXSLakIhOJaIrlKz7AvjAo30M4wgLDiZf3AM5Qv7MmGn0NYCdQ5Q3BrJj/RvSkX2sYfcHgF6QNv1fjfuvANjMpaz/Qjqt/wHwJqQzW+V2ALcbs7v6G2srLoF0ws8F8BdyzU1W/L7/08h26DtxHoBnIH0gywBMh5xB9T4AGD6frQGM0iiLYWwh3siJKXSI6HwAJwgheuS7LXFh+DV+BLC3uQgwYDmPAxgvhBgSWeOYkoN9HAxTABh+jY4RlNMvguYwJU5oUxUR1SOi74noZyL6hYhuNtLbENF3RDTdWPhUN3xzGYZhmHwT2lRlTC2sL4RYZTgGx0Laey8H8IYQYgQRPQW50vXJ0C1mGIZh8kpojcOYHrjKuKww/gSAAwCMNNKHQ67WZRiGYQqcSHwcJCNtjgewDYDHAcwEsFwJ5DYXwBYOz/aFDNiG+vXr79KxY2gzLsMwTEkxfvz4JUKI5knVF4ngEELUAOhiBGl7E3KBUU42h2cHQU4dRLdu3cS4ceOiaBLDMEzJQER/JFlfpOs4hBDLIePn7AGgCRGZgqkV5CpehmEYpsCJYlZVc8qEw94QMkLnVACfQ+4DAAC9Abwdti6GYRgm/0RhqmoJYLjh5ygD8KoQ4j0imgJgBBHdBrlw6dkI6mIYhmHyTGjBYQRTy4mhI4SYBbn3AcMwDFNEcKwqhiklamuBP6bkuxVMgcOCg2FKiVfuBvpsD0yf4J2XYRxgwcEwpcR0Y7r7X7/ntx1MQcOCg2FKibJyeVy1HFgwK1gZtbUAR9UuaVhwMEwpYQqOB88FercLVsah5cDAQ6JrE1NwsOBgmFJh6rfAFyOiKWvCx9GUwxQkLDgYBgCeuhwYPTzfrYiXHz/NTfNrcpryTTRtYQoa3siJYQDgjQfl8eDe+W1HnBDlptVUA3Uq9Mu4dK/o2sMULKxxMEwS/LtS+gX+mp3HRtgIjtra5JvBFDwsOBgmCb55Bxg/Ghh6bf7aYKdx2Aet1mP54uDPMgUNCw6GUVkaUxDnDTaSx7X/xlO+DnaCI4zGcRFHFCpVWHAwjMole8ZT7vpOO4/rH/5ZkpsWZj3GwtnBn2UKGhYcDKOy6M94yjUFR74Wzv35KzDyPpsbvJCP8Q8LDoaJAi+BYOtfSJB5v9mns3OcCQALDoYJy/cfAIeUAbMmeufNW6gOJ8Hl0Z4504BhN3CIESYLFhwME5ZvjM0tf/mfS6Y8+zjKHH7qXhrHdYcBL90GLFsYfZuYgoUFB8OExYz/JFw64Xz7OJxMZV7tWbtaLx9TUvDKcYYJizmadxu959vHEdRUZbb7zYeA+TMibRFTuITWOIhoSyL6nIimEtEvRHSJkX4TEc0jop+Mv8PDN5dh0oipTWg4mvM1cg9qqjIFx6v3AGPfiLZNTMEShcZRDeAKIcQEImoIYDwRmaEzHxRC2M0BZJgixGFUX1MN3HeWPE+bc9yzPfnWlJg0ElpwCCEWAFhgnK8koqkAtghbLsMUDh6d7++TgH+M8ByqyWrdGqBqHdCgSXxN84R9F4x/InWOE1FrAF0BfGck9SeiiUQ0hIg2jrIuhkkN5qjdyY9Rd0P79AH7Accl9LNwapuuqcqJX74O1h6moIlMcBBRAwCvA7hUCLECwJMA2gHoAqmR3O/wXF8iGkdE4xYv5qBpTAHiJTjKyzPnP3wAVFUCE8cA076Pv20mjiapkAsX7z4tUHOYwiYSwUFEFZBC40UhxBsAIIRYKISoEULUAngGgG1ENCHEICFENyFEt+bNm0fRHIZJFi/BQZaf2ZjXgAH7xtsmXcL6XHQmBDBFRxSzqgjAswCmCiEeUNJbKtmOBTA5bF0Mk07MzlfTkZz0KF0IYMg19vdqa4FPXgC+fDX33sI/gCXz3MvmkCUlSRSzqv4D4HQAk4joJyPtWgC9iKgL5K9qNoDzIqiLYaLng8HhnvfSOPI9Kp8/E5jxo8NNAdxzujzd96TsW09f7l02LwwsSaKYVTUW9kOtUWHLZphEeLBPNOU8eiFweN9snwaQ/1G50xoOwL3jX7PKu+x8C0UmL3DIEYYJi9r5rlhqcz/fgqPc+V7Y1e75fjcmL7DgYJiwqIKjttr9vh2fj4i2PVZcBYDStjtPtT7oXXa+tSkmL7DgYJgoqa7KTfPqXO/slTmf+CWwarl+faZzu6YmO72qEqhcp/e8yecvASPu0q+bKVlYcDBMaJRRu512MfELvWKWLZKLAp+4RL/q0cOkc/vNh7PTT90SOL6pc5vWY7k3ZCAwb7o8d/ONrH+cneOlCAsOhgmLcBEcVZXA4xfplVNjaCsTPra//8nzwMt3ythXJqZP5e/52XmXLwLW/SvP3TQeu3uX7yOPeY/oy6QVFhxM8fDnVGDUM9GX+8cU4ItXnO9nCQ5LR+zHeWx21DU2fhIAuOcMYOi1wEW7Z9LK67g/IxvhcsumfetNZSw4GHtYcDDFQ79uwEN9w5tPrNNQ+2wP3NEzN58QwA8fArWKf8HaEes6j3/4EOhlxAa1c7CrzJiQOTcFh51vRacNdvdqa3LTHGFTVSnCgoMpHkzTjFsnqsPTV+jl++59ubXqx8MzadaOWFfjuO4w5UIZ6S+eC4x90/k5U0t59wn7Vd4zf4JvjcNMY1MV4wALDiZdCAHMmuh/mud7T2fOK9eGa8PsSfbp1plLK5bk5gmqcaio28z23QG45ThnLUrt3Kd+m3v/gq7ubbDdS5wFBuMOCw4mXUz6Cjh/J+CT5/w997oSfNmXqcUGp07aWm7FBjZ5Qvg4TExhMPJ+YPU/8txRi1I6+RVL5d4fVtxMd9cc5L99Kv8s4bUcJQgLDiZdLJkrj+NH6z9TXZWZQgqEX82sKzjsRubWul+5O0ADjHK/eSeTVF3pkFVpw+CrgPM6RyO8Zv4EfPuuXt6RvMlnqcGCg0kXZghyP1qDNdqs1aTkF23BYZfHKjgCLKgzhUGdikxalYPgUDG1E+sMK7+TBYiAj31ofNN+cL53e0/g/UH+6mdSDwsOJl2YAQJ1O/+xb+aGBA8dP8mho7V2yHbO4yhiN5nllisxSJ2Ell0b+nQK3yY/wsZtKvCXrwAPK4Gx583w3xYmdbDgYNKFGZBPt7NTp6aahPVxONnszXIr18k8diuro7T3q0LB8Z1sBMf8mdnXQTQOPzOqdD/vb94FzmoPjH3DX3uY1MGCg0kZRoel2wHH0XmbneaKv4GPhmbSTS3oyHrAnafAttOe/FW4utX6oSE44opgG4fgmGls1zPdRtgzBUUUGzkxTHSs77B0R8k2HVxYjcNsw/1nA9+8nUlXO+AvXwEWzs599qnLgOMuled/TAlWf9W67HYA4d4pyIJIX4JDUzD5/t8yaYU1DiZdqGsYdLDTOEL7GYw2/LMoO7m2Jrtdv37nXkyf7YNVv3KZ9N2onbeTz0engx98tb/6ieBvLYfm/4oXFBYNLDiY+PhgMDB5rL9nnDqXub85zN6xc1D7GNH+Nt65DeUV2em1tUDfHb3LjMLP8fVbehqHTmfsFDTRiarKzCp8HfxqNBxRt+BhUxUTH+aWrD0HAj3OALbqqP+stXM5e1t57HYIcMeHmXS7TtGPxtG/m336ujXApDHZabU1wB+/eJdZXQnUraffBjtELbR8HHHx7hP6eZ0E5VJLxF6/2iSTWkJrHES0JRF9TkRTiegXIrrESG9KRB8T0XTjuHH45jIFyYg7gasO0MzsYQcf91HmfMIn9s5ocz1DGN57KjdNVyBFoXHU1mZrE451p8D849Q2M2gjALz5iBIShQVHoROFqaoawBVCiO0A7AGgHxF1AnANgE+FEO0BfGpcM6XK2lXA96PcR5tVlcCNR+mXabe/NwD039Vf2+z4a1Zumu6oP4q1HJ+/BPw2LnP9/M32+dLgN9DRIJ68RFmJnoI2M6EILTiEEAuEEBOM85UApgLYAsDRAMywocMBHBO2LqaA+XclcP0R7vtlVClbnbp1RqajuE7daNpmR5mNFVdXk4jKrPT3gsz5lw77gaz8O5q6wuBXUKZB2DGhiNQ5TkStAXQF8B2AzYQQCwApXABs6vBMXyIaR0TjFi9eHGVzmHzitN/1oj/Dl33udsCa1fF1QL9+B6xdnZuuKxCSCvq3eC7wzJXJ1OVGkAWGTEETmeAgogYAXgdwqRBihe5zQohBQohuQohuzZs3j6o5TL45yXac4D46Ve+pndGr92bnmzcdGLCve/1ntAUu3Nk9jxsf2GhGSWscXtjtv5EP7P6n7zzu8gALjkInkllVRFQBKTReFEKY8QQWElFLIcQCImoJYJFzCUzR8a/D2MFNcNQ6CI7BV+XmnT7evXP663f39gUhbRpHnQrvPElgp3E81t85P2scBU8Us6oIwLMApgohHlBuvQOgt3HeG8Db1meZEsTNrJF1T8P88eMn/utW14IMudbn85oCIQrnuA7lKZlNb33fF2/LTzuYxIjCVPUfAKcDOICIfjL+DgdwF4CDiGg6gIOMa6bUcRuN23W4QcN22PHBYOCi3eSWr4CcJuwHbY0jIVNVWkbu1sHA8Bv85WcKjtBDFiHEWDgbLQ8MWz5TbLh0Gnamqsv3ia7qOb/K459Tgd2P8P+8rgnKLcx4MeLXNPfy7cDhfYDNto6nPUzscMgRJll0NQ5TcITdP1zF3CQq6Ij3mh56+U5vHax836RE4/gzgFY46+fo28EkBgsOJll0Z1WZRGnHXx/yIqAP4t+V0bUlCpLypXixZpUMyugHNlcVNCw4mGRx1ThE7nmUdnwzkm5Ss57iJi2CAwAmGHvEO63mt1Is/4MShQUHkx7sOhO7sOl+mDMtc26aql65Ezg4JWaeMKSp833vKek76reL5gOscRQyLDiY9JA1gjY7lpAd/DlGRN4PhwBrDFNTEianNTYrz6MmTRoHIGfALfxDLy+bqgqalEwEZ0qGeb8537ObVRWFqWr6BOCBc8KX44ejG8Rb/ou3ATsfFG8dfvEzmyxtQo/xBWscTLKM+yg76quKXWcSheCorgpfRtoYfkP6Ol8/n7PfDb6YVMGCg0meedPt021jVUUgOC7ZQy/fAaeGrytJ0iY4fv5MP+9bjwDLFsbXFiZWWHAwyePk1LWGHJk3A/gnwYjJXXQ3m0oJaXKOA8BHQ/3lT9v0ZkYbFhxM8tzbO7OnhorVx5G0X6LQHLZJbycbOQX2eTPrYcHBJE9tDTB3Wm76zB8z5xO/BJb9lVybABRcR5Y2jcMvhSaomfWw4Ch2fvgQWDo/363IRR0tL1sErFoO3HlKdp65LjOw4iAfHVmzVsGffcFhO9lCgQVHwcKCo9i57jAZETZtqKPlkzcDTgnRgUZFEh3ZY5YZZWeGCEE+aUy4tuQbFhwFCwuOUiDpneIWzPLOY50RZLdVa9Ik4TPosAtw/oPyvHHz/IVGv9FnbKk4SNusMEYbFhylwgeD4y1//kxgxF1yFNm7nXf+NI42d+yeTD3HXQo8PRF45hdgs9bJ1GnlP8cA17+Wn7pNCt1HU8Kw4Chm1M75pdvjrev6I4AhA4G/F+jlT9to86SrgNbbJ1dfmx2BJs2Bzt2BrTslV69K2DhgYfGr4T1xCXDj0fG0hfEFC45iJivabMwddXWlPOrun5G20WYi/o0f7NN32j/+uu2ggD//TntGU79fwfHWI8A370RTNxMKFhzFjNoZxt1R16mQx6pKvfxpM1UloQFtuZ19etJ7hw82Nl4qKw/2fKNmwLa7hm9H2rRORptIBAcRDSGiRUQ0WUm7iYjmWfYhZ5LENtpsSkjb4rWwguxUj322AWfTUHlF5vz6V8O1Q4ettnNvjxfVVcGFjsr1AbbvZVJBVBrHMACH2qQ/KIToYvyNiqguRhe1M1wyD1g8138ZP34K3N4zujatJ2WCLKzg6H2L95oMJ9OQqa21aAPsc0K4dvghiKmqRRvg3LujqX/5omjKYRInEsEhhBgD4O8oymIixGoKGK4xKrZydQ/gy1f0TVC62IUcySdRmE1u/8D9vtPU292PlMdrRyQ7PTeIxvHcLKBtZ6Bpy2jakLbvAaNF3D6O/kQ00TBlbWyXgYj6EtE4Ihq3eHGCAe1KAeso2s9+CSZmR+ZpWjI7PM2Re9rs21H4XLw6YiehsP1ewGgBdExgoeagyZnzMOamK4aEbwsAvBRiASSTN+IUHE8CaAegC4AFAO63yySEGCSE6CaE6Na8efMYm1OCWB3iQfalMM0ZUfskinFWlVtH3O/RjEnKD3d/Erw9dqhTju1MVa221SunQZNonPrP3xS+DCZxYhMcQoiFQogaIUQtgGcApDDuRbFj6QyDdP5lMQmO1GkcHu05+EzvMtwER+d9fTVnPV0PDPacHX3uzb626/h7DtQvLwoHOQBculc05TCJEZvgICLVCHosgMlOeZmYsI7qg4yqTfOKly16vUlLUyAUyqyqK4cDH9UCHTU2g3LrSIOYCaOmx+nZ13aCw+n/UqcC6H1rdlqYOFsqU76JphwmMSKZQE5ELwPYD0AzIpoL4EYA+xFRF8hh72wA50VRF+OD8R9ZEoIIDp8ah64mkTZTldO6hIPOkMdyjdG1kylq212BrfK0OtwNu/Y6CbhRNpMjThwAPHNltG1iCoJIBIcQopdN8rNRlM2E4LaTsq8DaRx+BUcBOsdbdQAO6u2ex02b2N1Yj1Cnbu69y58FDj07eNuixOrjshMcfjXBdl2AmT8Fb5Muq5ZnzseMBLonOG2ZyYFXjpcS1k79m3eAkzYDnrvJ+RnTBKXb0ReixtGynfc0WLc1D7e+J48VNoIjium17Xdxv68bssQq2MojEBz3fu4vf1Au6JI5v+3EZOpkHGHBUUpYBceNR8tFWDobAnlpEoXs46jWWKOi4wi20ziimK11w0j3+9e94l3GeQ8AG2+anWancex2eG76fV86l9ugiXfdUbDwj+zrNPiMShgWHCVFiE5Md0+Pfh6j4/VNMQRMGnYnrFrnncfJx3GZEq7eriOOe5ov4Lx+ZJuumfMO3XLvq87xvY+Xa0latpXh3lU6JxRu3g8Xa0xWYGKDBUcp4daJTXOI3Gpy8e726auWA0Ov8y8ATM2k1xb+nosDVXBsvJl9HqfOu8sBmXO7WUpR+HK8HPNOZrSGTYEd9jbaYfO/V01Vqga4RXt/7csH08fnuwUlDQuOUsKtEzO3l13we7a5yctGP2Qg8PIdwOp//LUlqKlqz6Ny0wYMDVaWycVPZc4f/d4+j9PnoI727fJErXHsdriMF+V0X6W2Bq4r+lWBlGbTj26ofiYxWHCUEl6d2IJZQO+2wAu36JcZtMMJMhJvvQNQv7E8b9oCeHsV8PI8vcV5TjRrBbTfOXO96Vb+nreO9u+37AMeteCoqZbmpKw2OAi1mmplcoNNO9Ry0zTLzcqtAZzhf/8FLFsYfVsYACw4SovvRwFrXPb2XrFUHr97T79Mu5k5Ojyv4ZC3UlOdmTZ7/1fAhvWBTTYPVv96QnbsVv9C3XrhylM57jJ5VAWDnaAurwNsvk1uevtd3AWHaloLM1lh6PTgz6rMmQassImV6uf7CAC/TwJ6tgRObhFNu5gcWHCUGq8aIbHnzci9Z3YkZieyZB6wZpV7eUGnm86d5n80XlMlQ3CMFsAWlo7ygwBxuAD3NmRFu3V4T6vGkWM2CiCY9vg/eTz/AXmsVz9zr7Ymt81l5cAwm867733ugkOdBRYmSq31fxGUczrqT66wsnIZ8PZj8j3P65x9b+kCNndFDAuOUmPdGnk8y8YBahUC954Zb1v8Bl10M4sFDbjnJjh2VbaY0fFxALmCI8h6lZveAj5Q3rVuvUw0WieNw0qTTWW6qRHatX+jhhkzX1qmRy+cHey5h88DHr8ImPJ1dvonLwC9Nue9yiOGBUcx8ts4YMaP9vdqNDprszP9e0F0bbLDb2flZZYaMg24+1OfjdDUCJwERxwaR1lZ7kyq1jvIo50pzG46rilgLh0E/N+FwI772Ndlmv6S8nHsGaAD19k3ZKVh4lr7b3b6PUZ8rvGj/dfLOMKCoxjpvytw4c7299w666cuy77W+cGGWRntV3Dc+Jb7/VYd5CZDfgjrvM7ROCzXUa2Q79BNBhm86nnnz/ypnzPnFRvIY4vWwEWPO2tkXiFl/ETL1eGaFwI8pPEdM9/DTQCOfTNA3YwdLDgKHSGkMzAKfv7CLBQY+4Z3ucsWAe88Hrw+v4LDuvLZjsbNwkdtfWJCJoyIHU2Udlg1Dut1VNNciYBTrwc2aeks7FShec9neuW26iCPPc7ITr/7E6D/48DZd/hvqxtO//MRdzk/42cAc63dDtYGz/3XuxxGCxYchc4XI6Qz8H8eo3EVr1GwEMDHw73LGfehfp1+2vGkg5lNl40ayeORFwCDp8hRuhN2nfA2XTOBC9ejjHoPPSdjkrJ2avU2yr7WMQ2G4cJHsq8fGweMXAJs1VHv+aYt5GSDw/tkp3c9EDjqwmjaaLL7EZn/jZUhLpqNjlarkyfNa1UKDBYchc6sifL46fNyBbeO6eWxfu73hdBzNofdyMdp9NnAZpdhP7vnqZ35VtsBPU4DnnbQnnRNVWrHJIQS0NDSYW26VXZ4j6j3ardi9V102AVotEm8dQblzNv0OvhJX2VfuwWYzGTyzsKCIzJYcBQLY9+QK7i94i4JAbz3lHseInuhkDMNNOTXx0lw2HUuT/jQQsos04oBoM0ODpmDOMdFZraS3TscfVHmXCeAol+y2hJB9N2k0O24bzgy+zoqjSMtM8eKABYcxUaY+fgmK5cBY17LTbdbPxAGc8GhFbsRprpXthemtmQ1EzWx8ZEE1TiueVFu0GRnejEd09bzqFDbHFZ4J4kpOEY6/N9NRC3ww4cZU6aOxhFF+HodBg0AHu0XvyaZcgroW8doUesxqhPCu7NZMtfhWYtPQsuE4EIfB2EQtjNcLzgsn8WwGcAby6QfwERXcKhCcpPNgT2OlHGt7AIQqlNmT7hCr/yghP0fRMXrNiu+rZj/j0ZN3fOtWQVcdxgw8j65cG+tS7QDk6QEx8j7gXefAI7YAJg4xjt/kZKSbx0TGfNnut8f82rwzsbqzI5rtBu2M1wvOCza10YN5f4RHXaRDmQA2qaqDRtkzo/q755318OkA/2FP6MNQWJHUh2mFw1t/FJW7MKiuDFvOvBgH+98a1YB373vnS+KuGEqA/aNtrwCIpJfPhENIaJFRDRZSWtKRB8T0XTjqPHNYkLjFbLhnyUhAhNG/MNzIirB4ap9uYTisGOHfYDTbwJGLPAOc15RF7h8MLDplnpl+0XVftKicbix2dbAhzVyBpcfamuByWO98714q2aBCX1/S4CovnXDAFgnUF8D4FMhRHsAnxrXTNQkOeLMWVwVU91hNZmmLeWxRVvnPBs1lMczNCMBl5UBp99L8NKAAAAgAElEQVTov/OLA1VwFIKP48DTg7VT1Lp/v796XR51NuJiIiWSb50QYgwAq5HzaADmYoDhAI6Joi4mjyS1T3hYYdi5uwxQ2NtFKNSpkOsXjrnIOU8hkBZTlRt2Gu6xl3o/N3oYsOwv5/u3niCPulpXUhpzCRDncGUzIcQCADCOtst+iagvEY0jonGLFy+OsTkFSuVaubdAGrBOZ/TTad31MXCH5oJBKgNeUPaY3vdk/XpMdj3U39qPQqKfsugvTaaqox18P3aCQzeUiRmUk0kVef/WCSEGCSG6CSG6NW/ePN/NSR83Hyf3FnAi0VFUiLq2aA90O0Qvb1lZ9oZK140IXm8xom7tmiaNo9+juWnldYDjL7dPj4JJX6XrMygR4hQcC4moJQAYx0Ux1lW8/GDsCZEGNds6S8nPD9Zs/72fR9ceBqldAEgkTYEfVMn4Wla8JhjocoM1NIwLQX9DS+YBEz4BHj4/2PNFSERi35Z3APQGcJdxfDvGuoofIfI/sgqz8rahMXd/p/2885oCquuBEezwV+RE1QFHjVcnXRZR15NEGJELdwaW87hXJZL/HhG9DGA/AM2IaC6AGyEFxqtEdA6APwEE2DiYWY+oRd4tizkLADUF2X9fB+o7BLezss8JmQVid3+i37ZSJU0+DkD6pk7b2jtfVAJv3Rrg9Qf08gbROIRgoWFDJIJDCNHL4daBUZQfCUIAf80GWrbJpNVUA9++B2y8GdBpTzlr6Pmb5MY3aZh2qeL4pU/QhLVymfys/OJnX3InByuTDZFeFICkaazpp4zKxxE3L0ccVr5ISNm3Lka+Ggn0bgv8qOxTcOlewM3HyiMA/PI/uZjo/rPz00Y3Xrsv3y0Azt3OkqCpcWy7a+RNKXnWd7wp83HoCoSwcc6S4tMgG08VP6UjOCZ+KY+zJ2fSpv2Qnce0l66zbD/phRDx21qHXhtv+XFx9p3+tLc0TAIoBJz2A8k3uoIjL/66AN+tfPsVU0rKvnUxYv7Q3LaWNL8kfnfU+3AIcFgFMOWbYG3TxbpPQd6JoZNnwaGH+X1Om4+DCGjXBbjYI3Q/ADz2g/7K/SgQApj9C3DKlnL3Sh1YcNiSsm9djKzfW1lDcKz8Gxh4iH4n9sEz8miavOLiiu5Av27AM1dl0vLZ0eqsJNdtX3MjrtOW2wZvTymRVo0DkDs4Hnmed74O3WQcq6RYOl9G3F0yF/jOZWtgFS/BPG9G+HYVICn81sWEOYvDbUqp2smNHw18P0qv7Hr1M+fVMW8VOn088Nq98dahi45QOFJz7nuP0+W8f55+q4dpEip0DS1pjWn0MHkccYfeZ+elcVxzUOgmFSKlIzjKNASHlZUaewwAwAbKPtNxCw6Tgwno3Q5Y7LB3Rtz8swS45Tj3PMdfrhduG0guDlaxEOT7nEbypTHNnylnWXrhJTjWroqkOYVG6QiO9aYqHz+0e84AKjUib6rmFeuuc3GyYBbw+UvJ1WetO0rcfE9MLutDshS4DT6fPhqtbX09Pt9C1/gCUjqCo0zDx2H3JZjv04ZZKltK6myJ6vSj6myzAQ5rHP649T3gyuHAxraxQwuHIBrHqTdEU7eXdeC38cCsn93zsOAocoKq9jojYXU/AK1RTMLozHDxi84P3umz62uzJoU1Dn80bQEcdEa+WxEevxrHMRcDm2wRUeUenf7IFKydsrJymdzxMM8UyPLNCDAFx7Tv/T2nMxJWtYyofBxrVmVvVxqGtp2jKccvTkLabvEXaxyliZ8V5KMqZf7V/wCPRBBw0DOeVgoXKR7fFGjcDHgtv1tQlI7GYX5Bf/jAe19uFR0NRdUygmocF+0GvGWEpf7ufeDohsAvXwcry0q+7MhOiyLt2sMaR2lSUVc/b50K6axu0ARo4mGi0xFIXoJDa2fBPJiq/lmSfJ0WSkNwrFsDDLs+c73EmImks7hHx4YZhcYx7QfgiYvl+U9GWBRzfUhYYpl5o/HZOX0WdiM5FhylSR0fgsMPDZoAh3iEDvL6XezY3bueID6Oub8Bj19c0Fp2aQiOj5/Lvh6wH/D120CjTTQe1vhiRKFxmNTUZDpWc855WOLwu+h09E4ah51/pIB/REwIgu7S6OVj0/EDeIUJimuq883HAW8/Cvw5NZ7yE6A0BIfdF+CmY7B+1GzuFWE3etDp0NSOOeysqsf6RW9brVqnH7VUFx3BYa4Gt8IaB2MSNEqu+Zt1onKtt3DxEhxxx58r4BlZpSE4nDDXXJhfELvOS2fUodpCw67j+PQFYMXScGVYqVoHDJrsnc8POgL1tP/ap9v9oDv9J1x7mMIk6IZOjZrZp9+jRL+uW8+9jCgEx6rlMv7VBB97x5QFWFMGAE9e5i9/jBS/4KitBUbcaX/P7PDNzt6uM9TxWVSF1Dg+HJI5X7s6Ot+GSVVltPP9Dybg9pPc8+y0n7MZwqpx7HoY0OO0SJrGFBiqxjHQx2JWdd91FdUvUXdD9zLef9r9vik4DjvXPV/fHWToke8/cM8HSC1j4R/mhXd+lTcf8pc/RopfcMyYkHGGW1m3Rh7dNA6dUUd1ZSbsSBB/wgPn+H/GD3Hsh+E1M81NDbfOqgqyORRTHJiCo21nYP9e+mba8x90KK88U+4GHoLj85fcv6emRtDdY5BksuhP7zzvPgH8u0Ke/+8tvXKttN0p2HMRUvyCY63G3hrVVfIL9OSlufd0BYe55iKpWFW6XDY42gikv40LX4a1c2DHeOliCg7zd+bV2Zts1ND53s1vA4OnAA01Jr+4/b5rqqVZyao5Pz9bq4m2qFsvvHCznAyjyy4Hy2MK/IGxCw4imk1Ek4joJyKKoNfx3QD3+5u1lseVfwNzp+Xer9UQHFWVmQi5ThqHEJlR+syfgHce9y43CnRWeO97sn55/TW1F7eRXE6bCtdJyITEKji8/BIq1t/2naPlcc+jpCnr4N7eZbit1aiploMc1Zy21zFyIHbAqfrtVLEOmtb9C3z+MvD5CO9nzb4lBYEtk9I49hdCdBFCdEuovgxegsPUFJwkv44GoWocX75in+eLV4AztwHGfyynAz+W0N7aXu+/7W7ApYOir9dNcFj3IGeNo3QxO2Xzd1bhQ3BYZwp22T/7un5j4PJn3ctw+33XVMv2qZ29+b1WI2KbeP3WFswCPrEsDahaB9x5CnBnL/dngYz/9O8FeQ87UvymKl3BUbXW/r6OqapqXUbjGPNaJn3lMuCFW+VmL79+J9N+nyRDJgAJTcfzeP+aKqB+I+D+McDm2wAPfxtRvS7vZl0tXLkmojqZgqOBEXa/aw95vPhJ/Wf3tob1t/muH3o28OIcudeLHW6/79oaKThUjaPWp0lNxW7/8kqHfsfKskWZgIsrlwHndvJff4QkITgEgNFENJ6I+lpvElFfIhpHROMWL44j/opHx2l2+E4qq5bgqATq2cSVOr4p8Nx/gSv2wfqOVBVkSaicXqYqc8S14z7AsOnAdrtHU6+bULRG1tXxQzHFSaOmwPCZQP/H5PUeR+o/e+Ej2ddO3/XmrZzL8PJxlNfJ3qjNzL/T/vbPAMCzA+13A7Vz/OsKjn47yxmXJovn6D0XE0kIjv8IIXYGcBiAfkSUtY5fCDFICNFNCNGtefOIF6kB2R31OXfl3jc7fKd9N5bMA2Yakn7SV8AfU3LzVFe6O+tMDcOKH8dYYJT3v/HN3NtxOfPdBIc1zITXYi6muGnZ1l/MKhOr0zrI/uBug7eaarnOpEGT7DQA+M8xufnN+l+5K9sJbmInOGZM0Gvnknl6+RIidsEhhJhvHBcBeBPAbnHXaWlA5txuW1Kzw3cKoTzoCuCCLsCr98g9v/tsn5unujJ7VOLG9PGZ87hXpgLZo7Ddj8i9r+P8j5pyyw/o4ieSbwOTXv77eub8ndXO+aLAU+Moz5jTvPJb+fLV7Gs7jeh2HxNTrOTRzxGr4CCi+kTU0DwHcDAA5yXMq5Y5j84BYPUKfdXORB1R2AVU26iRPH483L2cwVfnpk39Vjp2qyqzQ6Bbo9qqwuuzF7PbFrefQx2F2Y14dDWOEwb4rFjzvfY+TjoxGcZk7+OAToapp56NEzpKnATB75PlQty//8r2Z/gRHDlCwUMj+nelftkAcNWB/vJHSNwax2YAxhLRzwC+B/C+EOJDx9zzZwF3uUxzO7YxcH4Xfy3wEhxBO63JY4FL9pSaSLXFx3GZTfgM2zhYNUCvqDalMbCao9TFdnYjHl3B4RR3yuTiJ4FrlSmFXgLx+ldlW696Xq9+prS459PMnhMVGwDbdI2nnqnGZJDVK7J9bV87LM5z+714mcq8/I2927nft+J3b6EIiXUjJyHELAD+ljnO89iq1W6thRuq4Khrs93phi6+CTf+XiCPv42ToxA3U5VTJ1pbkyknKv5zjAzdcOcp8trry6wbW8tqXrJy5PnZ4Va8HP/dT9SrlylN6tbLrOl4dVEwH4gO95wuw90c21iasl82fAnrLBM2NmwgTUPq97qirr8QQ1774vyjMTmofmN3q0xCFMZ03DGvZS+Ye+g8YOp3es/WeGgcQXfZM78E5hfMOj3P6syyEx4nxjAZAMj+gnoJDl2NQ2czqDoVQKc95TmvzWCion4j54WBLdsGK3OHfXLTls7PhDrfsqM8nnGLPF5tTKVVTVV+J3Xo7q8+b4YMaLjib3mtRrRoZ7G4zPE5kI6IwhAct52UvWBu1CDgKpfpcCpZIwQbjSPIfGwg4y8YZ1jerF/sU6xTABNcHa1+Qb06cF3BoRNDiAi40NjFMAVhEZgS4NGA5poTr8ycq4NQc32EKRR2O0wezUGnKjhM/+h6vGZ1acz6WjwXOKu9DGj4jNHGNx/O3N/eYga/UrMfjJjCEBx26K6B0HWO+2HSV5nO2dQkXLdzFMnG3le1Ay/BoLuRjm7wObO8uHZ2YxgVrc3YbFAX9V2yR+59U0CY33vTVKb2J9a+I6yPAwBWKP2IdWHsjt1zV6yvzc/MqsIVHLodsZePI4hz/IruuaabiV8456+qzKwcTwK1bW4+jLNuBx4Yq1emrprdZkeg13XAdQ6hVxgmDbgNhCaPBR7qk53PTuOw7gliu5+PkqZj7nXLQ+QvlleMlJbgsNMunL5Ae/yfe7nWjrT1ju75o4gqq4vaNrfpg72uBdrsoFmmyw9t6PTMORFw1m3RRuRlmKhx23nw8n0yFgQzXx0bjcMaHqWmBvhgcHbahTtnztXf5X1f2tedJTgo955Vk/93ZV78iSkUHJoCoaZaT3h8+6487nKwnvmk2RYy/MEt77jns3akJ13lXXZc7NhdBiocbDj21LZFtTLcbSS06VbR1MEwQXj4G+Ayn5uf6W5Zu17jMEyw6kCsRevsvLU1wIN9stNm/Sz7qfvPBh65IJPeuTtw3gO59T3uEvy0rMy+3c/f5PxMTMQ6HTd2RtwF9BrofL9yHTB6mDwfMBS2zqlOlpgylzxtv8LainXBoJ3jPQlOugo49+7sNFWght3K1sRtOq6uGYth4mC7PeSfH3wLDhuNw4rTvbceBT4a6ly2ykSLJrJGXTlP9u3+6bPctJgp7F+8ugrbDnV0UL+J/T+q3kbZwkPXCfz5y9nXFXWBgzTi/0fNEefnpu3cI3Nu1Tiu8fjMnHC1zwaIEcQw+UR3XYjZUZtHt1mYToLjyUvcy3bj3jMy50T2A9Q8zGBMn+DwM/voj1+AMSOd76uj7Q02dB41qx+8ruCwUqduZoeuJLEb7W+wIXDyNfLcKjgOOMW7TPPL+dgPwdvAMGljX2ML2J4D9WdTmv1B81bA1tsD/V02YHPai8cJL8Ex6Utg7BuZayJgc5vV5UnO2DRI3y/e74fwwyjne2qnSeQsFNSRQmDBURH8WT906Ab0VQIyOmkCdjZZk6G/AS/Pd67joa+B20bJukxc9xBnjYMpAK5+AXhlIXD2HfqCw+zcN2wAPDMZ6HZI9v2BL0uBAmTCl3jx9CR59OovrIuIy8qBjnvIzanUacgLZunVGyHpExx+O1+3Ds26jWtdBzVTnZUQdPRcXqFvNw1D+12AE65Q6nX4vEytwU6N3aI9sElLlzp2zix8YphioU4FsPGm8lw31JBXf7R/T+BxnzMmGxrRdv32FxUbyN/7oWdnTwVevshfORGQPud4O3+hrVx576nsa7t1HEA0pqry8mQEhzU6sJPGcewlwJK5wPGXh6tvwFC5L3vUMbUYJp/oRt31itEG+O8zzN+s3+fUgXCezcPp0jg2qBftxkIv3aaXLwpTVdhndbGuJnUSHBs2kPPM3TaY0uHgM4Gd9gtXBsOkDV3zqs5g0O/v3uz0/Q4091XCtOssJoyRdGkcVJYbldLKnkcBHXcHhl4XrI46FdJ2f/BZQKttM/WahOn8k9A41lo2tmHHNMPEh05/4Pc3SAEFx0HKDKu4ogVrkq5ep6zMO2TwKddnZgy5ofo+1MVBb62UqzYP7yMX4QDZC9h0VFMnktA4jrIsEEpq5JHnEQ7DRE6P073zBP1Nu0WeMMsMs0mVNWZVwqSrN6iulDMTvlK2jlTDonftAWy7a7aEHz0MmD8ztyzV4d1ks8x53Q1yA/sdcV7mvFy5N9znbIW4NY7RAtj1UHluhpNOauShGwyRYQqF3Y/0zhP0N735Ns73TDOZuiWtF4ecnX3tNNEnIdIlOCoN589YRXCoGkhDhw/667dz09RpqF6d3m6HA8/9DvQ4A2jbOZPesg2wl82m9E4kYaoyufcL4IohwfcT8YsqUPc+Ppk6GSZOtMxQATSOjRq6m69MbcEUHETe5q4rns2+znOww3QJjvUOK8Vx9dGQzLnT1NtfbCK8qoJD55/fojVw1fBcp9lh53o/axJ0b48gbLolcMhZydWnxuXZdlfgsQSDNjJMHGg5vgN2kW6mXXN2pzkQ3rgF0P0kf+Un2dfYELvgIKJDiWgaEc0gInfnhNlpq533M8qGK06C439vArMmZqfVKoLDy+Huhh8tIsjeHoVCmx2lwADkLLQOu+S3PQwTFnXU3qJNtPuaOwmc+77InDfZVM6UuvCR7D6v64He5Rezj4OIygE8DuAwAJ0A9CKiTs6tKcscx4wEDraM/qvW5j5jYt1ISdU4Vi3z0WoLbnuJW4lTcFz0RHxl67K74fBbawjiuz7ObK3JMIWG+tveaf9oJ7c4laUORImA60YA3U/IFmIHajjt86xxxG2U3w3ADCHELAAgohEAjgYwxTa3qd4JATx/Y+791StcqrJoI+p6kJY28V108eNDiFNw/N8F3nniZoe95XF7Iyjkzj2yAyoyTCGR9dsW0c0cFC5lOaVXKIJDxzxW5M7xLQDMUa7nGmnrIaK+RDSOiMbV1Bqdf+Vae4m9erlzTdbNTEyN45TrgR1tNqbXRR2VeO0WmOdRQOx02R8YuUROJmCYQkf9bQsR7ZooJ1OSkyaiahw6AqzIfRx2yzOzVAMhxCAhRDchRLfyCmPmTuUa+w94qUtgPqv/wxQc5rTVoNRTRiW7eezTQZS7mbwTD2pu2Zo2gu7xzDBpo57FmhCVxkHkHLHBSTipgkPHZFbkGsdcAFsq160AOPf+ZiffpjMw86dMeuNmMpxwv8dcqnIQHGGnyGb5OATQ1iOW1tEX6ZWrG2SNYZh4UE1V1VXR7eophPPv20k4qYJAR/PZv5f/dkVI3ILjBwDtiagNEdUF0BOA856sZkTXEXfm3hs2Q0aidMLUOH4bB4wbrQiOkAvXVMFRVektiNxGCze+mTlPav0FwzD2qOaktatzO2zrojs/OGkcTjGy/Jqq7PblSJBYneNCiGoi6g/gIwDlAIYIIX7xXZDdZuzldbJnTv0+Sa6q7m9MGT3y/Ey+MKghSKocfC8qbgtz2uyYOWeNg2Hyi/rbXrMq97cdZp8Zp9+3U39U16dzPM/E3kIhxCghRAchRDshxO3BCrERHFbn0OCrsmddmSHVo1jNfZbR7Mq19rGszI1ZAKBBE+dy1C+m3YikVYdg7WMYJhjmuop1q3NH+mF8Ho4+Dg3nuDVPfzcTfX5Iv2gD7PfytXMOrV2VmxaF4Oi4uzxWrcv9pz77K9Bmh8y128wr9Vm7vYNPuxE4rE/m2s+qdYZh/GNOoV+zKjc0UdCRf526uY53Ex2NwyqwjuoXrB0xUiCCQ0PjcCIKwWEKKbtpwlZB4bZgUNVWiLJXkQJA532BywZlrtWovgzDRE/DpvK4YmmulhBU46io69wP6AiOAggoWhiCw85U1c4mPIBdSJIoAw9u1trGDmr5CNVIvFasz9ZRItuefDXQbAvksPFm2dF7GYaJjk02l8e9j89dwBtU49iosbOv08lUtUX7zHnrHezzpIh0beTkhJ2p6sphwJRvgOuUvbF//T43XySmqt2AXtdJlfHe3tn3rLOjNqwvN7C/02a6HJUBV78A1FTlPlu5zr7uV/4K3m6GYdypUwG8+Y/UEAZbpt8G1TgabSLjUNnhpIm06wIMGCYtKc1bBas3QQpD47AzVdVvnNmbwuSW43LzRSE4yusAZ90GbNIy20R2zYv2m7GoG0OplJUDB54qt2MFgK23z5i6qhTBcf6DeZ+nzTAlQ/1G0oxs3SDOz6wqdaFxvfqyvF6WXUqvel6uSXPi4N7Avj6i5B57iX7eiCkQwWGjcegS9R4Z6jQ7Vb1U2X6vTMjkywZn0q2qb1kZ0Pd+ea4GcDzuUmDgS+HbyjCMPk2aAw99nbn2o3Hc8m7m/PSb5FEdVF4xBOhxWqjm5XDeA+6CKEYKQ3A4hVPXIWrBoTrQ3L5Y+xkagxrS3c6+ac6uqnSJ/MswTDJ02jNz7sfHof62zSCgqlnKbhalGzqhfcrKgMFT8zLILAzBEYaoBUfbLplzty+WuZ5jlRKY0U5wdNxNHvc4KnzbGIaJDj8ah91vW50o43cx4Z2jgS07yq0L3GjcLC9m7cIQHHvb+C5MzM2FnCiLWHAcrqyzcPtimbO+NtkcaNrSyG/z5WnVARhV6R5OhWGY5PGjcVTUzU1TtxxQo1zo0H5n4Nmpqd22IH2CQ50SN2Ao0Ota4MrnnPPf/5V7eVFrHGVl2RtOOdH9BOCBr4BDz5bHCx52XntSAPO2GaZk2OcEeaxjIwyc2LhFblrjZsDhfeX5ujXh25Ui0jcd98GxwHmd5bk5+8iNuh62w6gFByBtl/+u9I5bZW58tHk74NiLo28HwzDRM2AY0HOgc9gQO+w0DiATSHHt6tDNShPp0ziiXvwSh+A4xpgG5zRXm2GYwmXD+tJU5JeHv5FRvFVMB7k6SaYISJ/gCBKR8qa3nO/FIThO+y/wwh95mwrHMEwK2W6P3HDn5pTcNSuTb0+MpE9wBMEtIm0c/oM6Fc6L/BiGYUz2P0Uu8j2ot3feAiJ9Po4guPkadLZhZBiGiYMWrYE3l3tmKzTSKTiuf1UGCtPFzRzFM5YYhmEiJZ2Co/uJ/vK7ahzpfEWGYZhCpTh8HKxxMAzDJEZsgoOIbiKieUT0k/F3eFx1uWocccyqYhiGKWHi7lUfFELcF3Md7sKhADZ+ZxiGKSSKo1flmVMMwzCJEbfg6E9EE4loCBFtHFstLDgYhmESI5TgIKJPiGiyzd/RAJ4E0A5AFwALANzvUEZfIhpHROMWL14crCHsx2AYhkmMUD2uEEIr5i8RPQPgPYcyBgEYBADdunULtmOT301SGIZhmMDEOauqpXJ5LIDJcdW1ft9uQAoRM6plfR+LCBmGYRgt4vRx3ENEk4hoIoD9AVwWW01Z+1wI4KSr5emR58dWJcMwTKkSm3NACHF6XGXnYI2oazrLw+xVzjAMw9hSHNNxVYTIrN1gwcEwDBM5xSk4QMo5wzAMEyXFIzh63yqPQmRMV6I2f+1hGIYpUopHcHQ5IHNObKpiGIaJi+IRHOtXj7PGwTAMEyfFIzjM8Om1irBgjYNhGCZyikdwNFBCYfGsKoZhmNgoHsHRaBPlwlzXwYKDYRgmaopHcJhhRnbYW/FxsOBgGIaJmuIRHETA8FnAHR+x4GAYhomR4opH3rKNPPJ0XIZhmNgoHo1DpaKuPFatzW87GIZhipDiFBwNDUf5iqX5bQfDMEwRUpyCo1FTeaypzm87GIZhipDi8nGYbL83cPLVwFH9890ShmGYoqM4BUd5OXDOXfluBcMwTFFSnKYqhmEYJjZYcDAMwzC+YMHBMAzD+CKU4CCiE4noFyKqJaJulnsDiWgGEU0jokPCNZNhGIZJC2Gd45MBHAfgaTWRiDoB6AlgewCbA/iEiDoIIWpC1scwDMPkmVAahxBiqhBims2towGMEEKsE0L8DmAGgN3C1MUwDMOkg7im424B4Fvleq6RlgMR9QXQ17hcR0STY2pTvmkGYEm+GxEj/H6FDb9fYbNtkpV5Cg4i+gRAC5tb1wkh3nZ6zCbNNuKgEGIQgEFGXeOEEN3s8hU6xfxuAL9focPvV9gQ0bgk6/MUHEKIHgHKnQtgS+W6FYD5AcphGIZhUkZc03HfAdCTiDYgojYA2gP4Pqa6GIZhmAQJOx33WCKaC2BPAO8T0UcAIIT4BcCrAKYA+BBAP80ZVYPCtCflFPO7Afx+hQ6/X2GT6PuR4M2OGIZhGB/wynGGYRjGFyw4GIZhGF+E9XFsSUSfE9FUI/TIJUZ6UyL6mIimG8eNjfSORPQNEa0jogGWspoQ0Ugi+tUob0+HOg81wpjMIKJrlPT+RpogomZh3iuF7/YsEf1MRBONchoU2fsNI6Lfiegn469Lkb3fV8q7zSeit4rs/Q4goglENJmIhhNR6PVheXq/IUS0iCxrycgltFK+34+ItlW+Wz8R0QoiutShzuj6TiFE4D8ALQHsbJw3BPAbgE4A7gFwjZF+DYC7jfNNAewK4HYAAyxlDQdwrnFeF0ATm/rKAcwE0NbI8zOATsa9rgBaA5gNoFmY90rhuzVS8j1g1l9E7zcMwAlh3ymt72fJ9zqAM4rl/S9f2HAAAAOCSURBVCAHn3MAdDDy3QLgnEJ7P+NedwA7A5hsSd8OcoHdFwC6pe37afkf/QVga5+/P999Z2Q/VKMBbwM4CMA0AC2VD2iaJd9N6ssDaATgdxjOepfy9wTwkXI9EMBASx7tly/AdyMATwK4upjeDzEIjjS9n5LWEMAyKAOBQn8/AM0BzFDS9wEwqtDeT8nfGhbBodz7AhEJjqjez3LvYAD/C/H9nA3NvjMyHwcRtYaUXN8B2EwIsQAAjOOmHo+3BbAYwFAi+pGIBhNRfZt8W0CObkwcQ5lESRrejYiGQo4mOgJ4NNib2JOG9wNwO0lT3INEtEGwN7EnJe8HAMcC+FQIscL3S7iQ5/dbAqBCMeGcgOzFv6FJ6P3yRsj3U+kJ4GWHe5H2nZEIDpI299cBXBrwR1EHUkV8UgjRFcBqSDUtpyqbtFjnE6fl3YQQZ0FGGp4K4OQA7bAlJe83EFIg7gqgKYCrA7TDlpS8n0kvOP+wA5Hv9xNyqNoTwINE9D2AlQCqA7TDlgTfLy9E8H5mOXUBHAXgNacsNmmB+87QgoOIKiBf/EUhxBtG8kIiamncbwlgkUcxcwHMFUJ8Z1yPBLCz4UAynT7nI+FQJml7NyEXUb4C4Pgw72WSlvcTQiwQknUAhiKiSMppeT+jrk0g3+v9sO+llJmK9xNCfCOE2EcIsRuAMQCmF+D7JU5E72dyGIAJQoiFxrOx9p2hZj8QEQF4FsBUIcQDyq13APQGcJdxdAqGCAAQQvxFRHOIaFshw7QfCGCKEGIOgPUzbEjO1mhPMozJPMiRzilh3sGJtLyb0Y52QogZxvn/Afi1WN7PuNdSCLHAaNMxkPu8FM37GZwI4D0hxNqw72bUl5r3I6JNhRCLDBPj1ZAO3IJ6v6SJ6v0UsrTZ2PvOoM4cw5myN6S6MxHAT8bf4QA2AfAp5MjjUwBNjfwtICXfCgDLjfNGxr0uAMYZZb0FYGOHOg+HnIEwEzJCr5l+sVFeNaQkHVwM7wapFf4PwCTIDvVFROBcTcv7GemfKe/3AoAGxfR+xr0vABwa9r3S+H4A7oU0oU6DNLkU6vu9DGABgCrj+XOM9GON63UAFkJxMqfk/TYCsBRAY486I+s7OeQIwzAM4wteOc4wDMP4ggUHwzAM4wsWHAzDMIwvWHAwDMMwvmDBwTAMw/iCBQfDMAzjCxYcDMMwjC/+H5VZQLZnQrDsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create plot\n",
    "plt.plot(weather_by_day.index, weather_by_day['T (C)'], c='OrangeRed')\n",
    "plt.title('Temperature (ºC)')\n",
    "plt.xlim(pd.Timestamp('2016-01-01'), pd.Timestamp('2017-01-01'))\n",
    "plt.ylim(-10, 30)\n",
    "\n",
    "# save plot\n",
    "plt.savefig(\"figs/temperature_C.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(735964.0, 736330.0)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create plot\n",
    "plt.plot(weather_by_day.index, weather_by_day['rho'])\n",
    "plt.title('Air density at the surface (kg/m³)')\n",
    "plt.xlim(pd.Timestamp('2016-01-01'), pd.Timestamp('2017-01-01'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(735964.0, 736330.0)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create plot\n",
    "plt.plot(weather_by_day.index, weather_by_day['p'])\n",
    "plt.title('Air pressure at the surface (Pa)')\n",
    "plt.xlim(pd.Timestamp('2016-01-01'), pd.Timestamp('2017-01-01'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Merge DataFrames"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As suggested by the above plots from both datasets (and by common sense), there seems to be some correlation between the wind and solar generation and some of the measured weather quantities. \n",
    "\n",
    "First, let's merge the two DataFrames into a single DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# merge production_wind_solar and weather_by_day DataFrames\n",
    "combined = pd.merge(production_wind_solar, weather_by_day, how='left', left_index=True, right_index=True)\n",
    "\n",
    "# drop redundant 'T (C)' column\n",
    "combined = combined.drop('T (C)', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DE_wind_generation_actual</th>\n",
       "      <th>DE_solar_generation_actual</th>\n",
       "      <th>cumulated hours</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>v1</th>\n",
       "      <th>v2</th>\n",
       "      <th>v_50m</th>\n",
       "      <th>h1</th>\n",
       "      <th>h2</th>\n",
       "      <th>z0</th>\n",
       "      <th>SWTDN</th>\n",
       "      <th>SWGDN</th>\n",
       "      <th>T</th>\n",
       "      <th>rho</th>\n",
       "      <th>p</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>utc_timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01 00:00:00</th>\n",
       "      <td>8579.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.616758</td>\n",
       "      <td>3.714414</td>\n",
       "      <td>5.132500</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164370</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.296747</td>\n",
       "      <td>1.253185</td>\n",
       "      <td>99281.007812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 01:00:00</th>\n",
       "      <td>8542.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.564375</td>\n",
       "      <td>3.631055</td>\n",
       "      <td>4.976094</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164331</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.255473</td>\n",
       "      <td>1.253778</td>\n",
       "      <td>99288.492188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 02:00:00</th>\n",
       "      <td>8443.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.480859</td>\n",
       "      <td>3.516328</td>\n",
       "      <td>4.794688</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164288</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.217089</td>\n",
       "      <td>1.254304</td>\n",
       "      <td>99296.398438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 03:00:00</th>\n",
       "      <td>8295.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.397148</td>\n",
       "      <td>3.404961</td>\n",
       "      <td>4.664023</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164239</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.211715</td>\n",
       "      <td>1.254562</td>\n",
       "      <td>99306.695312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01 04:00:00</th>\n",
       "      <td>7319.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>51.25</td>\n",
       "      <td>10.3125</td>\n",
       "      <td>2.305703</td>\n",
       "      <td>3.286602</td>\n",
       "      <td>4.566289</td>\n",
       "      <td>2.546875</td>\n",
       "      <td>10.546875</td>\n",
       "      <td>0.164199</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275.193369</td>\n",
       "      <td>1.254733</td>\n",
       "      <td>99319.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     DE_wind_generation_actual  DE_solar_generation_actual  \\\n",
       "utc_timestamp                                                                \n",
       "2016-01-01 00:00:00                     8579.0                         0.0   \n",
       "2016-01-01 01:00:00                     8542.0                         0.0   \n",
       "2016-01-01 02:00:00                     8443.0                         0.0   \n",
       "2016-01-01 03:00:00                     8295.0                         0.0   \n",
       "2016-01-01 04:00:00                     7319.0                         0.0   \n",
       "\n",
       "                     cumulated hours    lat      lon        v1        v2  \\\n",
       "utc_timestamp                                                              \n",
       "2016-01-01 00:00:00              0.0  51.25  10.3125  2.616758  3.714414   \n",
       "2016-01-01 01:00:00              1.0  51.25  10.3125  2.564375  3.631055   \n",
       "2016-01-01 02:00:00              2.0  51.25  10.3125  2.480859  3.516328   \n",
       "2016-01-01 03:00:00              3.0  51.25  10.3125  2.397148  3.404961   \n",
       "2016-01-01 04:00:00              4.0  51.25  10.3125  2.305703  3.286602   \n",
       "\n",
       "                        v_50m        h1         h2        z0  SWTDN  SWGDN  \\\n",
       "utc_timestamp                                                                \n",
       "2016-01-01 00:00:00  5.132500  2.546875  10.546875  0.164370    0.0    0.0   \n",
       "2016-01-01 01:00:00  4.976094  2.546875  10.546875  0.164331    0.0    0.0   \n",
       "2016-01-01 02:00:00  4.794688  2.546875  10.546875  0.164288    0.0    0.0   \n",
       "2016-01-01 03:00:00  4.664023  2.546875  10.546875  0.164239    0.0    0.0   \n",
       "2016-01-01 04:00:00  4.566289  2.546875  10.546875  0.164199    0.0    0.0   \n",
       "\n",
       "                              T       rho             p  \n",
       "utc_timestamp                                            \n",
       "2016-01-01 00:00:00  275.296747  1.253185  99281.007812  \n",
       "2016-01-01 01:00:00  275.255473  1.253778  99288.492188  \n",
       "2016-01-01 02:00:00  275.217089  1.254304  99296.398438  \n",
       "2016-01-01 03:00:00  275.211715  1.254562  99306.695312  \n",
       "2016-01-01 04:00:00  275.193369  1.254733  99319.750000  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Further evidence for the apparent correlation between certain quantities can be obtained from the following plots, in which the wind and solar generation is shown as a function of the several weather quantities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x160d415cd68>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x180 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(combined, x_vars=['v1', 'v2', 'v_50m', 'z0'], y_vars=['DE_wind_generation_actual'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x160d33f75c0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x180 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(combined, x_vars=['SWTDN', 'SWGDN', 'T', 'rho', 'p'], y_vars=['DE_wind_generation_actual'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x160d35d15c0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtAAAACwCAYAAAAmPFnvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzsvXt8VPWd//8858x9JgESQgqEyCWACIRAUIqoFapycRtRig0toHXFy9JFFlHWlW83ba2uYllh10Vrq4K4oBTK0l+lVKvuKlqEQLjVAuEiIJRLAiRzOzPn8vvjzDmZycyExIIQe16PxzxCDjOfOZN5nc95f96f1/v1FnRdx4YNGzZs2LBhw4YNG62DeKlPwIYNGzZs2LBhw4aN9gQ7gLZhw4YNGzZs2LBhow2wA2gbNmzYsGHDhg0bNtoAO4C2YcOGDRs2bNiwYaMNsANoGzZs2LBhw4YNGzbaADuAtmHDhg0bNmzYsGGjDbADaBs2bNiwYcOGDRs22gA7gLZhw4YNGzZs2LBhow2wA2gbNmzYsGHDhg0bNtoAx/meIAjCb4Cs7Qp1Xa+4oGdkw4YNGzZs2LBhw8ZljPMG0MCzF/0sbNiwYcOGDRs2bNhoJxB0PWty2YYNGzZs2LBhw4YNG83Qmgw0AIIg9AWeAq4CPOZxXdd7X4TzsmHDhg0bNmzYsGHjskRbighfAZYACjAaWAa8djFO6mJi3LhxOoam237Yj5Yelxw2V+1HKx+XHDZX7UcrHpccNk/tRysfrUJbAmivrut/wJB9fKbrehUwpg2vvyxw+vTpS30KNmy0CjZXbbQX2Fy10R5g89TGhUSrJRxAVBAEEdgnCMIPgM+BLhfntGzYsGHDhg0bNmzYuDzRlgz0bMAHzALKgWnAXRfjpGzYsGHDhg0bNmzYuFzR6gy0ruubE/8MAt+/OKdjw4YNGzZs2LBhw8bljba4cLxHBnG1ruvtTgdtw4YNGzZs2LBhw8YXRVs00HOT/u0BJmE4cti4yFBVjXBcxe92EJIVfE4JSUpV32iaTlRR0TTwuSXCsorPJSGKQqvf50KMYeNvFy3xVNN0wnEVr1MkHDOeE46p+Jxt59eFHMvGVx+aphv8SMxpoggeh8GVizHn2fOojb91qKpGXNWIa3qLcUtrxjlf7HMp0eoz0XW9OumxUdf1OcCIi3huX3lomk5QVtD0xE8t3T1FVTXqQjHuW1ZNv8fXc9+yaupCMVRVSxmnMRqnPhTj5Q8PsO9EEI9TJBRreezm52KOMWPZFvo9vp4Zy7ZQF5LP+1obXw20ho/Z0BJPNU2nLhTj5Q8O8PmZKK98eNDgqKNtHDXPMXks8/1mLN1CXShmc/Urgr+Gi83HqQvJKXNafShGYzSOqmppc97LHx6w3jccUwhG285Pex618VVCW69FVdWIxFUaokqLccv50JrY51Kj1QG0IAh5SY/OgiCMBb52Ec+t3SIb4TRNb5qQowqRuMrLHxxICgDSJ9lwXOWhlTV8fKAORdP5+EAdD62sIRxXU55zJhxnTfVRJg4tYsOu4xw727bgwhzjkVU7Ut5r1orU97LRPnG+SVBRNEIxBZ9LoiES54O9Jzkdkls9WbXE03BcZdaKbYwd1JW12744R833Mceat7o5V7fZXG1HyMZJVdUIygpep8TxsxEaI3EQIBiNtzkINfiSystHVu3gTDieNudNGNyViUOLuP+1aua8UZMaBLeBn/Y8auOrAmsBunRLi3FKMsJxFU3nvHFLNpgL2+R7yoTBXamqGEh+wG2Mf5ksRtuSC68GtiR+fgw8DPz9xTip9ozkyX/fiSAvf3DAWjU1z4SEYwr3XNeb+bcOaJpkY6kE87sdFOa62TD7BvY/OYENs2+gMNeN3+2wgnF06JLjZlJ5EfNW7/hCwYXPJdEjz8fmQ/Upxzcfqsfnki7K38rGlwMzK3a6UUbX4XSjTGNSMKKqGvXhppX+g8u3Ut4zj8/PhAnFWp6sVFUjLCsICCy/dwQbZt9AxZBugMEdv9uBzyWx+VA9JV0CFje/aACcPJbN1faLFufJcIxXNx7kL+ciuBwic97cnpgzq1uVyVVVjWhMISwroJORlz3yfPjdjpQ5b+boEouTD95YkiEIbh0/7XnUxlcF4Vj6AjRTnJIMv9tBwOPIeA343S2rhlVVo1FWUDQdn0uiqmIg+5+cwE9uG8SGXcfpP78pE305BNFt0UAP0HU9mnxAEAT3BT6fdg1N06kLx3hoRQ2bD9Vzdc88np5UyopNn/H963pZRAQsIj51x2BuG9qdbw4opFtHL5FEwCKKAqqqISsaj467koff3G6N+bM7hxCNqcxYtsU6tmByKTmJYLs1wYWpI/W5JMIxFVGAkw0yV/fMs84R4OqeeYRjKoHzEN/G5YuootIoKzy2ZmcKX5wOEZ/LkbLSB4ObD62o4YVp5ficEqGYklFnbE524Ziaws9nJw8B4FSjTEhWcIoCV/fMo/Zk0OLmF+GozykRjqvWWDZX2yfON0+u3HSYiUOLEAUh45z50l3DLS4kc8OcMyNxFSWhe87GyyP1YfIDLuqCMYtHyZw8Hz8zcVMUBcIxldON9jxq46sBn1vKfB24My8GTc0yGJwvyHEzc3QJJV0CHKkPE42p+Fq4BmRFQxAAHepCMarW7bau34XfGULtqRDrth9j1optvHTX8Et+PbUlA/1RhmMfX6gT+SogHFd5qNlqbd7qHUwqL8LvNlZkFUO6WdnkqoqBFHX0EpIVHv3VDvrPN/VyMWuCjqkaD7+5PWXMh9/cTlTRMm5Lzr6pnxVcJMOcwKFJR5q8LROSFToHXCyYXMrI3vk4RIGRvfNZPKUMn9POnLRnaBpp2bRHVu1A0wwuZOOm3ylRH4mlySzM7KEgCgiCkMbPuau289j4K1lUWcaH+04R13QWTxnKhl3HCclKSgCcjPNxtC4Uw+sQrbGentScq0NtrrYDZJsnxw7qit/tsKQ+hR081s3b5Obye0cgQsZt5XBMQVY0FE0nkgieM/FyweRSOvmc+JwSnXxOa847djZicbIlfmbjpqbpaWPa86iN9oywrGa+DuTMGehwXOXDfadwigJLpg7j0XH9qVq3m/7z1/PYmp1GzUsLmWNNB12HuKqlzRFz3tjOk7cPsnbhL4cdnfOG74IgfA3oDngFQRgKmKXEuRiNVWwkYG4vJ2PzoXo6eF0crgsza0wJE4caMovCXDezb+qHKAkoqk5Bjjtlq/Cl6cPxJrIamcbs6HMCxo3FXOFFYipel8jz79ayuLKMUEylR56PI/Vh64YBBslXbPqMqoqBlHQJUHsyyIpNh7nnut7k+V388q7haHpTBbmN9o2Wsghmxszk5tptR2FQV0q6BAjFFFZuOtwsA7iNF6eVc/9r1Ww+VM/en47POHZhBw+fHjtH74Ic/G4HAir33dAbWdFYMLmUNdVHeXpSKWu3HWWs+X6ygtdhrOkzc/Qz7rm+N/l+F/dc3xuPQ+Tn08tTKrRtp4PLH9nmSZMDJV0CMKgrh+vCXN0zj7EDC7l9aBEBj4Pak0E6+pzMXpl5N8/vlsjzu8j1OrPyMhpTcUkiEUUjx+tEFAVeuXu4xc1HVu1gyfu1Fk+b87MlbgbcDnI8TpwO0Z5HbbR7iCL8x3fLCEabYomAR0LMknr1ux1s2H2CUX07I4kCa6qPpscZieskE4zMtoSu6ymve/69Wt7aeRyf20HVut0smFx63mz2l4HWvPtY4G6gCPgZTQF0A/AvF+e02ifCMTXj1p3PLfHc2r38qGIQDyyvpiDHzeMTBhCKqeiJxdiPbxvIv35rAB19bmpPBvG6RKJxDV0n83agrFI9/5toOsxK2gpdNKWM7329GE2HdTWfp0z+uq4DAl6naAXyyVuoXpeInCgmSx5z8ZSh5PtddnDSTmFmETJxyOeWeO4dg5tLPzrIpPIerK4+YgXRd43qxfe+Xmzxcsn7tQQ8DmvB19LYBbmelG36RVPKWLnpMLleJ9Ov7Umu18ndo3rx6saD3PpubQrXsnLUKYIAogBnwjGbp+0Q2ebJkKzgd0lWEP3wmzUsrixDBx5YXm0lHQpy3LwwrRy/S2L/qZB1c+2R52PqLzbx8+nlCAhZebnvZAPdO/lYuelwyvz40f7TrN91wrpxN0TjVI4oTuHw4ilDyfM7s3IzmFjIeRwSdaEYs1Zss/lpo93CJYoEdVLkf4umlOHOYiUXkhXmjbuSjftOc8vAr2Wfw7MgJCtIgoCi6VbwvGHXcebfOoDxgwqN+0qOm0dW7eCl6eUX62O3GoKut06ILQjCJF3XV1/k87noGD58uL5ly5aLMra5tZc8aS5KbN3NWFbN8ntH0H/+ev73kRvRMbbVkzWpHX0u5v96JycaZBZVlhFwO4irGggCAbeRfTlwqpFrSwrI8TgIygqvfniQhe/ss85hZO98fj69nFc+NIKhuau2p5xLZ7+bUMywl0m+uYzsnc+SqcM4G47z2Jqdaf93OeiNvmRc8rvcheKqWUmdGmyWke93E05o6ZffO4JjZyP8euvRtElvUWUZT771KScaZH525xAkUcDtEMnxOInEFKKKamUoTgdlvE6JgMfB4bowC9/ey7rtxwCDR7+8ezhBWUnTvz77+z2s237M4pqu61k5OvyJd3hnzjdsnjahXXE1Ex8XTSkj3+dCkkQURSOiqNy3rJrnvlPG7DdqKMhxM/eW/mk347XbjjL56h6s2nyE71/Xi2Nno5R08XM6GEMSIRhVKerkJSgr5HqdBKMKoijw8gcHMs6PeT6XFZTPHF1C1brdaRz7+fTyrNx8cPlWFk8ZitcpMWPZFpufqWhXPP1bh+mSc/9r6VzPxmNF0RAlwTI4eHD51ozXT47HmfE9FUUjGFM4G45bGW+/S2LFJ4e5e1QvnJJAfSjOgg1/ZuF3yhCFi0apVg3cFg10uSAIHa3RBaGTIAhPtPm0vsIQRYE8n5MXp5Xz55+MY8nUYXT2u9GBJVOHcaTe2JLs4HVl1KSiw4M3lliWL5quI6saD7xWTf/569mw6zjlPfN44DVDk3r/smomlfewqsuhqdL19mFFzF2VqgF8KFE9a2pek7H5UD05HqddQf4VhUsSeeqOwRYv8wNuwjEF0FkwuZQj9WG6d/JmdMd4aGWNxcuH39wOQI7HSf/56/lg3ym0RIZi+R8PIQD3J/j52JqdzL2lv8XPwlw3iqpn1L/OHF0CNHGtJY4qmm7ztJ3DJYk8V1lGzQ9v4fUZI/A4jO9NVTXqIzFe+fAgT08qpSDXzeZD9SkOGc1103Pe2M7do3rhdUpUrdtNXTDGp8fOoenw6fFz1IViPLh8qzFnvlZNJKYwZURxxvnx+LkoVet2M/eW/vTNUkjYEjdNmVNW2ZTNTxvtBFFFzeqmkYnHqmosfMOyQsBjSJna6sQRUzXCMZXH1uy0dNNxTWdSuSHhUjWduau2M2/clYbLziVGWwLo8bqunzV/0XX9DDDhwp9S+0ZE0Xh140GOnY0ak3bCdiWmaHwt120Uk7SgSS3pEkj63ZESbNw+rCgt+Ji7qklYXzGkm7VN2b2Tt0Xda6bCgNqTwfMWd9lofwjHVR5YvpWFb+/lRINsBRMzllUTlI2Ofl1y3IRlNav7QDIvC3IMOYei6fQuyOGhFUaGcGJZUZr357zVO3jy9sFsmH0D88ZdmTX4MMc3udYSR6HlIi8blzfCcZWlHx1CUXXL1vP+16qpC8eQFaN4qPZUCElskh+1xMvNh+oJeBzsPxWyFnxlxZ1Yuekw1/YpsPTSyTZcXmdmHnbv5LV4G4opGTlmFsI2P25yc/Oh+uzFVzY/bbQTaBo0ROJZr4FkmE1PfC4jOA7LqpUwbP7alq4BTdczmiZ08DoJyyreRP1EYQfPxcw+txptCaClZNs6QRC8gG1jl4C53eF1itw9qlfGLJ6s6ry18zjBaOYJuDGq8JdzEev3sKymTPLZg2JDWP/ouP78x3fLiMSVFqtnvQ6RRZVlKVXiiyrL+Hj/aZ5/rzZDBbntbtBeoWk6IvDS9OE8efugtKzbP71RQ0zRKf3R79F0LWvQEIwqKQu059+rBZrsvmaOLsmarfC6jMxgYQdP1sC39mQwhWstcRSwedqOYc6RmTLAmq4zblAhj986gLmrdiArCi9MKyeSZUEVjCrMGlOSwsnNh+rJ9ToZO6hr9gyaW2rRXcDMsi2eMjSFYy9MHYam6Wnce3byEOv9r+6ZhyiS9lqbnzbaE3xuiYDbkeZ29PSk0rQMtGmFeuxsBJ/bQSSu0MnvzDiHm4Ximd8z2/XqIBRTrMRKWFZxt6Cl/rLQFjHWcuAPgiC8AujAPcDSi3JW7Qym9nnFps+YOLQoa6AbcDu4aUAhuq7z4jTDPcAUyU8cWsTSjQe5a1Qv5tzUlzvKixCF1ALClgq2TBnIi9PKmb92F09MHMgL08ot7fSGXceNMUWQVQ1V03l9xgjCssq5SIyVnxgFNRt2nyDH7eCl6cOtbLXtbtA+YTZQaZQVHlm1g9dnjMjqTDBhcFcaoyqrq4/wX1OHca6ZBm3pRwf58W0DUTSNmKJaumYzIDYLPjLxs/ZkkI8P1HG4LsyBU428MLXcclTYsOs4lSOKyfe7LH9f0083E0cryrrj+O2nnGqUbZ62QxicVLK6ZPjcDiYOLeKB14xi62hcZ+5/GwWEZo1Gc17ePaoXgMVJMxnREicbo0qay0ZQVpAVxXpOJK418TLh94wOM5ZtYezAQpZMHUau10lDJI4OvLXzuBUoexxGIWHya21+2mhPCMsqp4My62o+T3HEWLvtaMJJoymANXcWRQGCUYUVmwzNcvVn9SnXycf7T3N9vy4EshQhthTj/G7XcaaN7MkL04YRiinoSOR4Lm0Q3eoAWtf1ZwRB2Al8E0Ng/RNd1zdctDNrRzDbC1dVDGTe6h1UVQzMaCL+l3MROvlc1IdjKQWEz1WWsX7ncRa/W8vMMX2pvKYYn0vCJRlZuIdWGsU2oZhi2SwlFx+ei8QArK3MkgI/0cRWaHIhmM8l4ZZE6sMx5iQ1GHh6UikHTofoWxhICWKAv+WCl3YPs62wWWwXllVmjSmxAgYzgA3LKjNHlzB31XbDXUPVUqqun508hAOnQ+R4nNSFZDxOkZG989l8qJ4DpxpZVFnGkfqw5c2cXOj1XGUZP/3tpwD8796TjB/UlQeWV6cWbnldSKJoTciaphOSlYwcLc73sfen49MCEpun7QPhuMrZcByHKGZttBBI3Ix/O+t6K0tdMaQb8Sy8DHgcbD9yBkeiYc9/fW8YeqI9eCZOLppSZrSUL+tO5TXF1vxqjjnnpr5MGXGFxS+TWwG3A03XKcx1M+bKQh5cvjWlKHfPE+OIxLWMvLT5aaOtyNas58uCz2V4mt9RXpQSc2TyNDdlTV/r4GX5Hw9ReU0xfpfEwG4dU66T87lwiAIZYxxRgFuu+hphWUVA4NPj57ihX5eL/Sc4L1rtwvFVwcWowtV0nX6Pr2fPE+PpP389EwZ35Ue3DSSUyPyZRPjP7w7Flej+Znobms4DVRUDqVq32/r50vRyo0tcTMHndhCWVRwixFSdgMf4PRRTEIGf/PZTa5yfJ6xdMlWJvzR9OAgwY2l6dfhTdwymc47bnuibcMlTRX8tVzVdR9eh//z1KJpO9fxvomqkBAyLKsvwOEVEQcTrkmiMxln20aE0Z5en7hiMrGhs2HWc71/Xy+hMKBsdLP9370lKizoSSHQrLOzgMbbCBfjVliNU/eZPALw/98aMzhmml3Nyt0Gbo21Cu+Gqycm/nIvgdhpWnclz5KIpZcQVjbmrdvDa31/D/lMhSroEWuRlfsCFJAi4nSLhmEowaiy+xg4sZPzgrmz9rJ6RfTpbLhygc/9rW3nm26U8+qsdmfnocljBSnIgE0p03kz2oTZf9zfusNEatBueXmpkcvT6sm0QzR3MqKLhdznwuSWCUcNqUmqWQVYUjfpwzCoALMhx88TEQRkdPEwXjkwLhJiiEtN0414iq4COqutIgoDP7UCOq7gdEo2JDrcX0Qf6wrpwCILwdUEQNguCEBQEISYIgioIQsMXP7+vDkxdTu3JILPGlDBzdAlOUUhx2ijIcROJG9ZM/eevp2rdbv7f3w1g47zRVvvt5yrLUFSVJVOHWZqfD/adot/j63n5wwM0RA1LmTlv1HA6KFOQ47Y8cZO1SdkKtXxuKWsTg+J8n63P+4ohHDMKOWaNKWHD7BtwO6S0Ir+VnxwmGteYsWwL/eev58HlW5kyopiN80Zb7hmbD9VT1MnL1zp4+ME3+6JqOq99fIgZy7ZQH44x/Io89p1oBEGgS66HfSeCvPzhAcKyQkMkbunfivMzO2f43Q7jNR8cMLoNOkWbo19RhGMqjdE4O46exSVJaW5ED62oQRQEFleWUZ9o5Wvy8jvXFFP1raussTYfqqdHnpe4oqHpICSKirrkuinMdTOyT2cKAm6uLSlg2UeHrGLFxqjKC1OHZZXa+d1Ge3tN062um16nxL4TQV758CCiYDjKNH+d7bBh40LB3NVOLX7dZrXJ/rLO4YHlWxnx5B8YVLWB3o+9ZbjYKFrac6OqxudnwxTkGEYJJQX+rPUHfrfDCs5PN8roupHBDsUUXE4JdNB1HUXT0HQdRdXxOiXqgjKqptMQjRNwO1Avg+RvW8L3/wQqgVXAcGA6UHIxTqq9wec0ik22HKqj8ppiqj+rp1tHD6/PGEFDJM7abZ8zsk9n62YBqd2z5o7tTySmcuxsmO4dfSlbHosqy5h/6wBG9unMQytrGDuwkAmDu6ZmEaeUIQnw+h8PM3l4D/xuR9ZGBYKQvcFAwGNnT75K8DklOgdcVF5TzMpPDnPv9b0tzfDnZyIs2LCHsYO6WkE1NOPlLf0BGD+okPpQLC1zreuGl/lzlWVc1b0DD7yWKs0IRuNMv7YnM8f05XRQtopnm3Nv34kgVet28/SkUlZs+ozvX9fL5uhXFD6nhOYQKb8ij4DbQWGum43zRtPB67J42SXXbfBtRSovZ6+s4YWp5Ww9fJZ1248xa0wJjVGFcFxl5n83ZeqWTB3GP48fwD+9kep7fu/1vTkTjrG6+gh3jepldTrMxscXpg5DVrU0z/IVmw4z+6Z+rK05lvK6cEJ+YsPGXwufS6Iw182G2TdYcrsl79d+qYu0bMm2TOfgdYrk+z3cu3QL93+jF5UjirNeX+GYsXPZKCs8tmYnhbluHh13Jfctq065Xr2JZInHaXT/9LsceFwSmqpz7GyE7p28F/cP0Aq0SYGt63otIOm6ruq6/gow+uKcVvuCKArk+11c17eA6s/qKb8ij/uWGV64Dy7fyoTBXbN6ivbI8/HIqh2cCcfo1TmQliF8aGUNd5QXUdIlQGGu27Cya/6cFTU4JInvfr0YTdeJxNW0KvEFk0uNbRBnemX54ilDrYvCdBPREhrClvrW27i8YWz1Caz85DBTrimmPhyzbMMe/dUO5o27skVezlu9gzk392NU34KMvLx9aJGRUXA50uwVH1pRQ+eAh4DLwdRfbMLrlHh148G0iu7nKst4/r3aFF9fv9vRIkdN2FxtfxBFgUiiYv/4uQjz/24AOqTwsi4UIz/gzlyI7XEwc3QJI3vnc/eoXpwNx9Oy2JGYyj+9kW5ddy5R7Dcloc9c+PbejA4DJh/PhOMZPcvHDupKcb6vVQ4bNkdtfBFE4ypzx/a3dmCq1u1m7tj+RL/MDHTMqJnZOG80u6rGcuCpCXzw6OiM5xCOqcxbvYOCHDdDe+Tx0IoaDp0OsmhKWcbrRNOwrtuHb+mfZl03a0WNsTiOqUgCeJ0SWiJTHVFUXA7xsvCBbstyOSwIgguoEQThGeA44L84p9U+kKLhSfwc2adzSvcdM9h4cVp5VocC038UyOreEZIVZt/UzyqwyfScY2fjdOtojPPwmzU8O7k0JbPjdopWsJ+pOvxy0F3Z+OLIpCnzuSXGDupKKKFNS+bl3FXbeXF6y7wszvcBmXmZ43Uwa0xJVl9zQ9es8NQdg42g+N1aak+FqKoYSJ8Cv9Udzmyi8tbO45R0CRCW1awcTf6sNlcvf2TipCkx03SjU2BzXj60ouX5sm9hwNLNZ5KrFXbwZHWb+d5Lm3jqjsE4HYrl2mE6DMhxlbpQjH//ThkzR5dQlEXiYXBUOa/Dhs1RG18Umqan7Vh/2e2rvQ6R6df2JCgrvPzhgZS296qqpeigzevwt7OuJ+BxMG5QIVd168DKTYet6yuUaHMvikLKPSOblKqwg4f//MM+vn9dL+KaMYfoGoiSgN/tIHoZeKq3JQM9LfH8HwAhoAcw6WKcVHuAOTnOWGpkTmYs3UJdKEZOVt2PxM/uHJKW7fh4/2nemfMNwFhdzRqTqoq5umceDZE4oiBQnO9r0Ue3W0ejZe2R+jC9O/tRtfTMjqJoxgrSTIQk6YguB92VjS+GTHw8HZLRdZ2+hYGsnfv8rnReLk44tux5YjzBqEI0iwdvSFa45/reLTaW8Lsd9Mjz0Rg1DPnXbT/G8+/VNjUaeny91flt1pgSgrKCQySFo7qu07zY2ebq5Y/Mc6RMNKay54nxdO/kbbGj5HOVZcy5qS8bZt/A/icn8MLUcg6caqQhEsfvdtAYVTI2a2jJA9/cXclNtBJet/0YY5/7P55/dx9BWeHRX+2wMn71oVjG+TgkK4iCYATPcnZ3BJujNr4oWvJD/rIQUTTOhuOsqT7KpPIeVjbcbHqUvJti1oGZcpPbyrrz0MoaFr6zj4/3n6YxGifgcRBRVFRVI5x0z2jpep2ScCTzux3IcaPTYUhWONUo47kMag5aHUDruv6ZrutRXdcbdF3/ka7rcxKSDgAEQVh9cU7x8kQ08UUuv3cEv511PQU5bqtVdnMyzBpTQkhWKcz18MK0cvY8MY6n7hjMe3tO8HdDugJGHFsXjDH92p7MualvivH42m2f43EaWeQNu47zXDNz8qcnlbJh13FCicrUTn4nd1/Xi+6dvFRVDGTC4K5NrbzjaspW/ssfHrS2GNHt4pj2inBcZcWmz6iqGMieJ8ZTVTGQlZsOU3syxOG6cMZAw9SQfq1DEy+fqyxDFAXUxORYH4oRVYx+PyKkAAAgAElEQVTC1uaG+B/uOwW6sb3WfKvO5GQwqtB//nqWfXSIRYmA6Me3DUzj5rzVO7h7VC+ckoCsaITjCqeDsnVdNCayHibaos+zcWmQiZMrNh3mZKNM//nraYjEs/IyJKuGfn9EMRt2Haf2ZJCAx8GokgIOng7S7/H1LN14kI4+Z5pcTUhYYTWXsJ2LxLi6Zx5H6sMEZcX6/zk39eXu63qRH3Cnzpcra7hrVC9G9s5nYlk33p97I6/PGIEgwC8+OJDo5mksCjJJM2yO2viiaCmovJBoSWLkc0n0yPNx+7CijE2PkjsKmtJQ087U9Hmv+tZVTBjc1UqW3LesmrpQDFEQrMRNJK5kvF5VTUPRdMIxI9bSdCPT7XVI+N3SZZGBvpDLmd4XcKzLGqZPbbIn6dOTSln49h78LkeKd/OsMSVUXlPM/c0KrLwuicnlPagPx1LGWTC5lHuv78091/UGdH5VfZSq3/yJm68qxCEK/OCbfTkXiac0SVm77SjfHt4DSTSsnM6cizN3VaqHLhhb5AGPw7KWqRjSjYlDi1LObcHkUjQ9tSmBXRxz+cPrFJk4tCjF7/bpSaV06+hhzpvb+eG3BqT4a5q8TC5Y/dmdQ8j1OjmbgZM5HgcvTjMaoASjCls/q+cfV9QYnsyJrbnk5kBrtx2l8ppitn5Wj6LpLHxnH30LA1SOKE7zBQWDm363A0GAxqiS5vm7YHIpLknEl9g2NBeqmQpUbK5eHmiJk0rCqiquaBl5+cDyaqoqBlpNppp7i08Y3NWytLv3+t6WpCMoK0iCUXj01B2Dm5quuB38cf9pg8tuBy5J4Kk7BlPUyUtdKMb9SQVMKfOl28Gzk0txOURmNSsmrD0VMooZV9RktLCzOWrji0IUs/ghX8C+IcYOkZzC68VTysj3u61mVqcb5azuST5300LQlIbmuCXuua6XtSt5+zCjKVJzSevrM0bwzK93UlUxkBy3A6ekpVyvAbcDpyTSJde4ThRFw+mUrBbikZhK7mVQUH7BfKAFQdiq6/qwCzLYRcSF8IEMykpWn1pZ0ejT2U9EUfEntMuZPJmrKgbSvaOXGcvSx3lp+nBmLNvC05NKefb3ewD4129dRWNUsQjWOeBCx1iRnWqQUTSNrh29Lb6f6S/9+dmopUl6dePBtMYaRvAOoZiCxyGS43Fm1PddSpP3LwGX/MO0hauN0XjG733J1GGU/fhtJpZ149/uGExc041AI2GJmI172Y4nBxBrtx3lrmt7giAkNPgRXA6Rghw3IVnhTEgmEtctbnX0OTP655rcfOqOwXQOuAGdGcuq05psdMlxo4Hlx+tzSRypj/DcO3s50SBb+lLgq87N5rjkHy4TV8/HyQ2zb2DDruN87+vFuBySFQDfn3jN/icnUHvScMTIxJmxz/0fE8u68fitA1KCgCVThyGJguVVfi4SY3X1USpHFJPrduCQDP/p1VuPcFtZ95SaleTxq9btZuGdQ/C6JJZ9dChtnjT90BsjCgGPlNZERVU1QjE1pePslBFX/C1roC/5h25PPtCN0ThnkjpvdvI5M96LvyiCUSXrXB/wNFnNSaLY4vOSz7kuFMPlEAm4JOpDMfJz3Mx5o4YHbyxJcRP5ycRB1tywq2osH+w7aXm1Wx0L+3ZB0TQkUUDAUPQ5RQGXU+J7L22y/KQvElr1R770IXw7REteyiFZoT4Ss6yP9jwxPmshiiBkLs7yuSVrW7uqYiAdfU4icTUtI5fnc9EYVfC7JU4HVXSdrB7QJV0CLJpShqLpVK3bzf3f6MX1fQsyZog8TpFpv/yEBZNL8WToW5/cujy5DW4mg3UbXw6yfe+5Xicb543G6zTM52edh5fZCgJNTgIWN1+6azhhWUmxt3t6UqlV+JHrdTFv9VYKc908NmEABTmZnRVKugRYVFmG2yEiKwqd/IaP75yb+6dwc/GUMrYcMjLf5nutq/mcx28dgN/twOMwMiI2Ny8PZOWkx8mG2TfQp7Ofv7++N+GYYllYJfOy9mSQkiwuMSVdAmyYfUNaEqIgx02wWQMrM1tsFid+Vh+iT4Gf8YO7kuPJ3FLcnC99TgmPU8o4T/qcEv0eX5+yoDQDZID6cDyFh11H9fpbWMzZuAAQRYEcjxNJEhEE6JzjvuDcaWmuN8/B73Igqxr/8d0yglG1KUPskdKy4abm//UZI9h3Ikiuxyj0mzu2f1om3SkKLJk6jLPhOF6XmLljoUsEJATBqIOR4xqqbshb7v+GsXi91LiQd5S0b1YQhB6CILwnCMKngiDsFgThocTxPEEQ3hYEYV/iZ6fEcUEQhMWCINQKgrBDEIRhSWPdlXj+PkEQ7ko6Xi4Iws7EaxYLppv+RUQmnfPVPfOMLj1uBy5J5LW/v4bfzrqeY2cjWZ974lw04/99fiYCGGTuWxjA73KkWTU9smoHqq4n2svCp8fPWbrCTGM2RuO4JJFlHx2iIMfNsOI8GqMK81anjjtv9Q6CsmK9x5lwPK3oxdQ2Thxa1GJhgY0vDy1xsmtHLy6HYQNUkONG0fSsxajZCgJNTprYfKgedNLs7eat3sE91/VGQEDRNMYOLGTOzYbPuekL2nzsxmiclZ8cJhRT0XQ4XBdm9k390rg5a0UNI/t0TrMUm7WiBk03Jnybm5cPsnEyFFPoWxggqmjous6KTYet7zmZl8+/V2t5hzcfIygrVK3bjbdZMmPm6JK0uXLe6h08Mra/ZYN34FQj+xMBdbbroDEaZ+Wmw5yNxInG1YzzZCimZuCiUSSYjYf1EZuHNloHs428mNjhu9ALr7CsWk229j85gQ2zb2DWmBJLZ23uMv/f3pNoGjy2Zif956/nsTU70XRwJxISpo7a55IYN6iQoKywYddxuuS6UXU9Y+wiArGETC8YzXx9BWWjEVg40f3T7RSRBHCIcHXP/MtCA30hA+h5GY4pwMO6rg8Avg7MFAThKuCfgT/out4X+EPid4DxQN/E4z5gCRgBN/CvwAjgGuBfzaA78Zz7kl437gJ+pozwZSiaWjC5lJiqGtsVy7dy7GyUDbuO43GIPDs51eVg0ZQyln50kKfW/znt/56dPIQFGwzZhunAkXWl6HJYE/OwK/KYf+sAcjyOjN6mP/yf3Ty4fCtjB3Vl5ugSAh5H1uxLjsdJxZBuVFUMNGzMdNKKC8YO6ppGerNI0YTtgfrlwSjiyM7JGcu2EFc1/t+tA6gY0o3n36tN44lZGJjG18oyfr31aMr7Xd0zLysvvS6JGcu2EI1rfLu8iLXbjlKc7+O5dzL77v7wf3az8J19PPzmdrxOB8+9szer7i7X27RlV5jrpntHL8vvHWFxtLXcNGFz9OIhGydlpYmTZyNxplxTbHW9TOblWzuP89H+U2lz7aLKMpZuPMjHB+rSAuBsGevunbzMGlPC4bowo0oKKOniZ/Oh+ozXQTInH1m1AxCyelIn/96nwE9VxUB8LsnmoY0vjC+LCw4RKq8pTvGarrymGHPTORw35Ee9C3Iy9p6IKFqK005YVpk4tIiN+05ReU0xQdlofpLp2pE13fJYz+ZcluNx0MnvRBQEvE7J6jiqaDq6jmF8cInR6hy4IAijgCrgisTrBEDXdb03xj9+3/w1uq4fx/CLRtf1RkEQPgW6A7cBNyaethR4HyMAvw1YphvC7D8KgtBREISuiee+ret6feJc3gbGCYLwPpCr6/rHiePLgInA+tZ+ri8CURQIuByW6L32ZJBnfreHU42ypc0z5RezVtbwXGWZVeRy4lyUfL+Lxe/Womg6w4o7smTqMHK9ToJRhY21p3hr53FrIg8kNM7ZPFFNQptduo7UR1hX8zkvTR+O1yVRezLIs7/fw7rtx3CIAiVdAuiJC7Q+GMs4biSm8PitA5i9Mrm4oElfGoopVmOXbJ2Smmu4TjfKF1zDZaMJ5nZbS5x8ZNUOnrpjMDNHlzD2uf+jpMBvcc/UFG/YfYLSoo5Wx8KwrLB661EmDi3i4wP1KXIKcwclEy+bfEuHM3FoEYfrwpxokHn293uoqhhI38IA+040cROatg9PNMh8fiaStZvm/icn8JdzEQRBSNFlvzB1GGKC463p4mVLkS4u2srJdduPsW77MUoK/Px8ermlYfc6JZZMHUaOx0ntySB5ifkTmgJuU15huno0583hujB3XduLf123i5/dWZZiqwicl5PZuFj1rasY2aczfQr81IeN1uOFuW7L+7a1PLTnShtw4b3DW6pVUjTSutA+tLKGl6YPB4xE2b4TwazNtswxV2z6jGcnlwLGjvg/rqhh/q0DmH5tT/adCGa8dpLlXY1ZOtQ2RhUaIgrdO3mt4kFJEL5UK7/zoS1n8kvgn4BqoM25c0EQegJDgU1AYSK4Rtf144IgdEk8rTtwJOllRxPHWjp+NMPx5u99H0aWmuLi4raeekZ4XBI3LfxflKTVoRmgQpOObvOhegpy3Bw/GzFWUarOkXojOBg7sJDbhxYR8DjYd8IoMvnONcX8+Sfj2H8qxNptR7l9WBEeh8jP7hzCw2+mOmuYBYbm++V4HQQ8Du4a1YtQLL1AwKgAV4jEVVZuMrrTNa/0/dmdQzgXiTM3re34Nn5593BCsnHB3HNd74zapmhcxedyEFVUq1VnivbJIeJzXT4XwOWGv4arreFkjzyjMcrI3vlMHFrE2m2fM35wV2avNBrvzP+7AQSjKl6XxOG6MB19Ts6F41bgaxb0xRSNBRv2sHhKWZo7gclLM/h4+UODx6/PGMHhujDPvbOX2Tf1SysOMyUnCyaXsqb6aEpgdHVPo334Kx8eZPG7tbwz5xs8tqaJowU5bhplhTXVR8/LTRPJ2+wp7zOljM6JSnQb2dEarraFkw5R4OqeeUwq74EAHD8XZU310abFTVTh4/2ncTtE64ZrBrpP3TGY4nwf0ZiakZML397Dz+4s40SDzLGzEbp19KS4xmzYdZyvdeiVkZMnzkXTuLhgcim6rjNhcFceWlljFR0W5Bja/WUfHWo1D6Nxe668mLgY9/+LhWTrR3PRtWLTZ9xzfe82O7ecLxg/nwY6HFPZsOs4XUf1yrqA9LmM+gCHJOJzO6yAueo3f2Jkn85s2HU8fR6fUmZJBT8+UEfAI6U95+lJpfhdEjkJIwZT7xyWDUs7KaHUvdTBdFvSLOd0XV+v6/pJXdfrzEdrXigIQgBYDczWdb2hpadmOKZ/geOpB3T957quD9d1fXhBQUFrTvm8aKl5RPK/r+6Zx6kGmad/t4dwQku38O29LE5YMT2wvNraPpk4tIg3PjnM/lMh63dRgFkra/i39X+2/FRfnF7O2m1HrZuH+X6H68L0n7+eB16rRgBeaObd+/SkUsIxlYdWGAbnP/ntpwjAS9OHs/en41l45xD+bf2f+VqH1M5AppxD02DWim0sfGcfoUShTnNtk5aw6k1u1alouqG9VXXcDpHGaNzeqsyCv4arreHkkfowkZjKM982At2RfTpbzhguh+FOkKx1C8oKf399b041yty6+AOm/mIToiDw9O/2cKJBxuuUeOqOwez96XieumNwSvbO8C1VmDi0iEd/tYN+jxtjPn7rADr4nBm35l/deJBnfreHsYO60q2jhyVTh7H3p+NZMnUYKz85zMJ39qFoekoDjooh3fjxbQN5ZNWOVnHTRPNt9gmDu1JVMZA8n4tQzN5OPx9aw9VsfrbNOdkYjbP3p+N55tulOCSB08EYa6qPpmiIH1hezYTBXenkc6Y0/znVKCMKAv/5h30cORNB042A2vSefvb3BleP1IdZMLmUgMdBXTDG/a9Vp2xdbztcnyY5eXbyEDRdT+FiVcVAnt2wB1EQrQyemSyZObrEmONbyUNN09F0Mj4P3XB8UjXNnjP/ClyM+//Fgmn9WLVuN8v/eIjCXDc/+GZfdF1P8cFvDc7XyCdbjYLp7+xzSkwZcQV+l5RR5mRmoOet3oHfZeyumwHzyN75LHm/lu9+vRi3U7RijBenlZPvc+F1NMlg44pGB5+T12eMYNsPb+Y/v1vG2m1HCcVUgrJCSI4TkhUjYHdLSIKAehnIN6BtGej3BEFYAKwBZPOgrutbW3qRIAhOjOD5dV3X1yQOnxAEoWsi+9wVOJk4fhSjw6GJIuBY4viNzY6/nzhelOH5Fx0+V+qqadaYEu4a1YuA28H7c2/E75JY8clhfnbnEJ5a/ymnGmWrDbei6Twytj+P/io1y2vKPvoWBnhhajlLPzrIzDF9rdeYgcmPKq6ickRxypb6gsmlPPO7PU0apZU1vDCtnGe+XWp0KIwqBOV4ihOCOd7M0SX0LQzQEDW2SczA3/SKnnuL4Yaw/N4R1ms7Z3FUMFevyatbc4y1246mZfvs1rYXDufjZMAj4RBFQOfRXxnP+ffvlFnfk9fpYNaKLSmcNGUYi6eUkR9wc7guzMK3jW34BZNL8boc3LTwbSYM7sq8cVdyqlG2MomLppQBWAGqOeasFTWWx6+5Nd8YjZPjcVjSpnXbj1ExpBszR5eQ63XiEEUOnA5Zn9XkaEGOm7m39E/R85+PmyZCsmIFPjZHLw5EgZSMcCZOOkWRqKIx540aTjTIvD5jBLpOyuIGSJnXAu503/GJQ4us3Y9Hx/Vn6i82pUiOzF2TJyYO5h9Wbk0b96k7BuN1SpZ8ad+JIE//7s/WPDmxrBtPTBxMSZcAs2/qh9clpjiGXN0zL0WD3RoehuNqxkxgYa6bUExhxabDNh//hmAGpGMHFjJ+UNcUZ4pFlWXk+12tlpedr5GPWaPQ3Afa52xy4cj3G8mEtduOpmTF1247yj3X97akGD63xOqtR6i8ppiVnxjtu01ZU6oUtAy/SyKmabglkZ9PL6chmurktKiyjHuu74WIwC8+OMDdo3oldu+1tGz0pUZbAugRiZ/Dk47pwJhsL0g4YvwS+FTX9YVJ/7UOuAv4t8TP/0k6/gNBEFYm3u9cIsjeADyZVDh4C/CYruv1giA0CoLwdQxpyHTgP9rwmb4QtER3nKJOXpZMHUbA5aA+HOOBpIYki6eUMW1kT1wOkYXfKeNwXZhzkTgfPDqawg4eILOFXUmXgGFN55K4e1QvIhnM+H+36wSTy3tY+tWwrDJ/7c6UjPTmQ/UE3A6icZXlfzzEtJE9eWB5Nc98uzRjcJy8dfLun09YgZiZUUku2Gn+bxPJTQKiMZV35nzDauP84PKtVFUMzBBMbcvYhMBG29AaTi6aUsb/1HzOFXk+K/iIxNTzctLnlojEFRojcfL8Ln52ZxmRmMG5B28sSdOSlnQJEI4peB2G3i7TmH0LAyx5P0SOx8nnZyLW4rElbiY3+Xn+vVoWTC5FUfW0156PmyZ8LolIgqedA25mLNtic/QCQxTA45R4fcYIoomMUnNOnovE6Ohz8+zkIQQTWsfkxU0yzHmtPiTjkkRCsuHoAV1Tdj9EgYSO2giwf/L/fcq67ccY2Ts/69Z1cb6P//zDPksilCznqBjSjblj+6do7hdVljFrTAkL39lnabGTNdit4aHPZXSYnTWmJMVnOtfjsBaaNh//dmAGpEumDkvxJzcXeT+fXk5OKwPoZJmECVN6Yfonu6TUhkOuZmObdQxTRlyRJgXxOkTrPU41yHyjXxdWfnLY4nFjNG4VCpqfYcWmw1SOKCYsG7a8L04vz6jDfnF6OV6XkTQJJPzhAx4HTk0nLCvocFl09GxLK+/RGR5Zg+cERgHTgDGCINQkHhMwAuebBUHYB9yc+B3gLeAAUAu8BPxD4r3rgZ8AmxOPH5sFhcCDwC8Sr9nPRS4gNHVF9y2rpt/89Ty4fCvhuJpWpTprRQ1OSUTXjVVlB58TRdWY8+Z2+j2+PqulVzCqsHTjQY43RJm/dhegZ2xzqYPVHvN0UOZEg5w2Vu3JILNX1jBxaBGNkTgfH6jD5xJZlGgFnhwcJ9vHjOzTmbXbjvLC1HL6FjbdxJIr1pe8X5t2XounDMXnlIwq4phiSQHM7GC2G+LlcCG0Z7SWkw+tqGHSsB4MvSIvkb3SicQVi5Mt2SrOWlGDDqzZetTafj/RIKe5JlSt283poMwrHx6kPmK04M40ZkMkztyx/ZHjKruPneXjA3U8/16t1aY+EzcfWbWDOTf3s7bt3ZJouXW0lpvJkOMawYT21LRDszl64aBpOo2Jxk79Hl/PuUg8Iyfz/B4UVaM+HLPmtFc3HmxRkjRrRQ0gsGbrURoicarW7U5JIJxokJEEgdNBmap1u63C7AWTS60C1ebjhmSFXK/T6Jz59l5rnnSIAnNu7pcms3hoZQ13J1p9v7XzOGu3HaUgx23JQFrDw7Cssuvzs2luCIUdPDYf/wZhSp7MVtjJ2Hyovk3exz6XxOLKMt6feyP7n5zA+3NvZHFlmcWdcFzlgeVbufHZ9+nzL29x47Pv80Di3pEMMxP90l2GDOOlu4aT73cRUYzGQYsry/C4jLl48bu1PP9erbEIzPAZbh9WxEMraiwJnrkr3/xzGkGzyg+/NZBgTEFRNYJRo37LKQo4E50SLzXa4sLRAcNK7obEof/FCGTPZXuNrusfkr2jyzczPF8HZmYZ62Xg5QzHtwCDWjz5C4hkXREYxUuBLDYsXpfEkfpwosGKzj8sb1ppLXx7b1oB36LKMhRNZeaYvkRiKuVXdOTlDw8y/dqeaW0u/2/vSStT55SErMVcJhnDMYVX7x6OpmNtsSQHx8nn3bcwQNcOvfC7pZRVbFrBTlxtcmtIqvANRpWUlaeZiWltZtBG29BWTj7/7r7E7obGrKTv6an1f04rVn128hDe/tNfqKoYSK7Xye1Di/ho/ynyfE6Lcwvf3mNxIhhVjCD7VIiwrJLvd/FcZVnKNp7pLvPg8q28OK2ckX06U/Wtq6j6zZ9YOHkIL0wtJ8eb+fyL833s/el4q4DF5GfzDLichZsmNE1H0XT+6Y2alGyhzdELB4OXNdY8ZQaFyTA5eToo89ianU3zY6L1+6IpZVZTquQdsqqKgeR4Hdw+tIgDpxtZVFmWsg28YHIp//LrnfTu7Lda0JtdCd/59ETGAlVZUZk41KhBr/rNn1h45xCe+XYp3Tt5rXNtfu4Bj8NyWArJRudWQWhyHvnLuYglowvHFPyuJj9fTdNRNY1rSwrS2h2bCRabj38bMN0yRMFo4W32c2gpe3w+yIpGXNNTilN/ducQZEXD5xLPK/FIhulJDaTsnuw7EaQgYDR0M32ljeL0o3ytQy/LLGHi0O6WBenmQ/VWf4xsWfKGSJxcjxMEjH97nTTKCh08TkvG4Wrbn/iioC1X4MvALuDOxO/TgFeAOy70SV3OaE66maNLrMnOvFGY7YdDssK6ms9Z/G5tWue3dduPpWwzHjsbQQB+8N9JWqApZTglEYcokOd3IQiQHzAE+P+4osba5p67ageFuW4riPn8TIQFG/ZYW5a1J4P0LQww7Io8q33zwnf2sWH2DZknZ1mlPhTDIbrxuxwsnjLU2r451SjjdzvQE8UvmQKU5lukZnZw7bZ0Z4VMmUEbbUNbOBmMKky5ppj7X6tO0bRDOidrTwZ5+09/YcyVhWlV1EfPhOlbmMt/TR2GUxTxuSUaowq/3nqUrYfPpsgvZo0p4YWpRhBj6ufGDupqZVSO1Ie5fWgRVb/5E8GYYsl9snHzdFCmS44bSRTxuwSLn2/tPM6pRpkXpg5DSpxTtlbepsdp890Vm6MXDsm8bImTjdE4RZ28aTfzf1xRw59/Mi7Fwu7dP5/IyEenKPL6jBGEZQVREPC4JJ6YOBhZUWhMtK3PFISb7x9wO5j2y0946o7BTBzanarf/ImjieZB33tpU1Y+NkSMBlWiIFiBjUcw2ohP/cUmCnPdzL6pH4IAAukcfGD51rTrEOC5d/ayeEoZKzYdtvn4FUeyW8bye0fw7IY9/L+/G5C2KFxUWdam713T4OE3t1OQ4+a3s663HJRMz/xgluA10+Iskx1eOG64dNxzXW9m/vc2CnLcPDFxEK9uPMjEoUWoqsYL04YhxzVLy13zw1u4umceHqfIgsmluEQh4+c8eDpIny45OASBZR8dMjrbJhbBfrfD0j8ne7FfCrTl3fvouj4p6fcfCYJQc6FP6HJHuJkmuaRLgIffrLFuvplavtaeCmXMJJxokAnHVCJxFVXTmdVcC7TC0Dypms6ZcBy/26ge7+Rz8sm/fJNQTE0pRFxbYwTMT90xOMVLeu22o3Tv2DstK9ncQ9Ukr8dpKHtiqobHKZHnc6ZkWbwOifpwPKs9jrkNZZ6X6e36/et64XNJ1ljZghsbbUNbOblgcikFOe7zcrJq3e6MGkyzJXJ9MIrf7eR0WKaHy8eZUIyJQ7tza2nXlMz2wnf28fGBesvqy9wdMTNsZlv7iWXdyE3IfTJxc8HkUuav3cmJBplFU4zW3xFFI8/v5Jd3GbsrXpdIXSjGQ0nFN5mKrszsSfPdlTk396N7J4/N0QuAZF6ej5PPJemJTVzdM4/9p0Js2HWcyhHFLfLxqTsGc/VP37F48uyv99C7s5+7R/Wik89BVcVAnn+vlnXbj1maeZOLyQu6Hnk+BAFqfngzLknEk1gEZOLjc5Vlid09FVXVrOIuc8v7lbuH0yArKRn0RVPKyPcZhWDmAiPbdeh3O7jn+t54naLNx68IsgWi5g5i7ckgJxpkyp/4A1XfuirVp9/ZNn96n1uiMNewVUxdgJWh6fDqxoO8NL0cTTcC0WBUwSEKeJKCdE3TiSlqGo8XTxlKns/JXdf2tBJmEwZ3JeBxMHZQV9ZuO8oPvtmXxohi7XiXdAkQiRk2pfkBN3PeqOHJ2weT53NZ/G6IxPl4/2nKr8jD55CIKCqTyovwux00RhUkAaIxFYcIl4MZjaC30g5EEISPgUcSsgyzscqzuq6PvIjnd8ExfPhwfcuWLV/49c29FQ0/2p0U5Lj58W0DU4T/YPjtmpP3vHFXMnfV9pRq9JxEv3iPS6Lf4+vT/B810iMAACAASURBVFL3/nQ8x85G0nvJS6LhOfpGDQ/eWJJi1L/wO2XoOvzlXARRECjs4KExcXHcu3QLBTluK/tzOijjc0kWQT+qPUXvghyrqYRHEmiQ1ZRg+cVp5VYmO/lzmoUt4ZhCfSiWds55fld78jW95Heo1nL1YnCyMRq3TOsz8XLPE+OR4yr14Qzfs8/Fv/x6Z0ZeHq4L8797T/KNfl0ozvdx4lwUURTwuiQcCW/Pk42ytf2t6dCto5dQzPB4rvrNn6gY0o3Hxl9JYQePNd43BxTyyKqmwCgbN00EZYWXPzjwVfGAvuQnm4mrBi9lqxjO9EnOxklzXklOPuw+dpZRJQX4XRKNCY1yNj72+Ze3rLGenVyKqpEW8Ob7Xew/FaKki5+/nIta8+PnZyL8eutRKsq609Hn5MHlW1lUWYbXJVEXjGXk48Z9TXNlqFkDHjPDl2mefHFauTFPxlVmJObj5gWzX1GnjUv+Yf7a+/9fg6y+zAGXdR/vU+CnLtTcueKLcSEoK5xuTJVGgcHB12eM4P/2nuSqrh3Ssr95PhcOh2g1+EEQUiRG5hgv3TUcEaMz4P2vVVNVMRC3Q7SulYDHScAt8fmZaMpu5D3X9QIEXv7wAPdc1xtN1zNeJ+biIRpTUXXd0n+bTVW8TgnHxWt41ao/dlsC6DKMroEdEoPXA3frur79i57hpcCFuIA0TScUUywXg3OROA+/uZ3l946g//zMk3vtSaOjTyim4HVK1IdjKSu6F6aVp5C0Ykg35tzcj+J8X8I6bK+VJRvZO5+Xpg8npqiE42rGAEYDIjElxT7q7lG9CHiMQHnpRqMhhRk05PlchGMqfreEHDe0UzluB6GYUQSUTO79T07I+Dn3/nQ8oiBYF15U0fC7HPjcEsFo0w2mpe5IlxEu+Qm1havJf9NITCUUMzIG5+OkefP3udI5uWhKGaqqM+fN7Snf/5yb+jL92p7kep1ZuXk2kjmwdjsTGeKk91kydRiaDh19RjfOV5O4uWCyoZc2HGU0RMHIPLz84QEOnA4x+6Z+loPGxwfqzsvN5L9XXSjGlkN1jOzT2cryeB0SDkdTENQOeAqXMVfNudLnkqzvPRsn9/50PGAUUgkCuCWRumY2WNkW7+aC0EwMhGMKr3x4MCWjbT6vat1uYwdDEnmgmU1YIJFI6Jzj5mRDFK9LSrESWzC5lBy3A4ck4nGKRGIaoPPBvlOU98wj32cUV6GD1yVlvfYicYNPZkBlSj165HkT83B6trkd8TEbLvnJXsoAOigrzFi6JY27v7xreEoiIjmR8dd8z6qqIYhCxgXnth/ejK6T8Vr6+fRycjxOKwDvkefLer2GZZWXPzzA1JFX0NFnLAR+VDEISTQC5O9f1yslfqgY0o1/Hn8lXpfRmrtzjttabOZ6nTRE4qzd9jlP/PZT9j4xnrqQjNfpwOMQiaka4bhKXqIjcjSmXsxGKq36g7fFhaNG1/UhQCkwWNf1oe0teL5QEEUBAYHDdWGCsoIkCrw0fbhlOZcM01mjat1u+s1fz33LqgklmpkkV3Qv3XjQciCYWNaNR8f157E1O63mE3Nv6U/FkG5Ak7WYQxLTKsPXVB9F1fVEgZVKQY6b+bcO4DsJ3Wu/x41GKxOHFjFhcFdrCzQSV1ESRu2m1VS/+evxZehlb245Nv+cZlWsWXAgCDBj2Rb6Pb6e+1+rpj4cR1U16kIxZiw1js9YuoW6UMxuDvBXwvybh2WVU40yTklkydRh2TkpK1bV//2vZebkQytq0HTd4qVDFJhzU18qrym23BKycTNTY4hzkTi1J0Os3HTYagr0wrRyBGDm61stniRz85FVO3CIIiFZZd/JBuKajs8t8ffX92be+CtTHDTg/NxM/nvl+ZyU98yzPst9y6o5E4kbzS0SAbbN078O5lx5pD5C9aF6XpxWnpWTh+vCxt962RbOhGMcb4haTX5MHr2aNE8muxJ9vP80c2/pb3H6vmUGj0xeQpNNqMntM2HDmWjC4K488+1SOue4UTSdNzYfpv/89cx5cztBWTGaQCU3OMHY5g5GDU6qCc9qM+CfsXQLXpeUlYu1J4P4XFKKu8HC75TRJddNvemm04xzNh/bP3wuyWrtvv/JCWyYfQOFuW40XU+ZL2tPhTgTirV6XFVtarTTGI1bDVciikZdUGbWmJKU95w1pgSfS8paaG5men0uiR55vqw8jiY8zA2HMZ3DdWFONMj8ettRfG6Jxe/W4m8WP8wcXcLDb243jAZW1hCNGfVW5hz84PKtTBjclf+YUkZQVvAlEnARRUXTdTwJ67yQrFwWEo7zBtCCIExN/JwjCMIc4F7g3qTf/ybhcxvk+t2u43gcEl6XhCjAs5OHpEzui6aUsfSjgyk3gUzWLYvfrSXf76KqYiBPTBycFoCYnszQFJT7m41TMaQbE4cWWRPwY2t2Mm/clXy7vEfajWje6h38+LaB7H9yAlUVA/EmtFh/ORdNsZqqD8m8M+cb1sVXMaQbG3YdT+si17ywJaJoaQGZ2QWppe5INv46+NwSRZ2Mxjm5XicxRU3rrraosoylG8/Pyc2H6una0cunx87xwtRy9jwxnunX9kyzImvOzbCsZByrS66HPgX+1O5yr1XT2CxIac5Nj1PkgeXVdO/oY+nGg/R7fD2nGmVWbT5CVcVABAHemfMNKoZ0S7Gza8nCDlrmqM3TCweTk70Lcqyb879/Jz0IXvj23pRAtXuGwsLF79bSOeDimW+XsucJo3NhjtvBjf3/f/bOPT6K+mz739nZczYJJIQYCJFDEJGQLAShgFpB24A+TREEEuVgfaTqowVf1PJabZu3xfooSIHWRyxtVaQSpVpK36pU66mCLygQDmqBcGg4mQRCSDZ7npn3j9n5ZWcPIK1UbHN/Pnwgm93ZWfaa39y/+77u6+qZUpLTwCWYHRANvnNlWS8WTLhUOGWm2sDdXzFIJCA1lUPIcMjCGdHA5PwXdJnH3AwHNZVD+PR0wOTKZnzOpVVeNuw+nlRssEgSqoaYHejC479eBCMK91UMMskV3lcxCHfc2msIAxjFs7NtlIyClHHP//aqrZzsCKMoqr5Jk0iSSKwaWYQ/psmeTs4RdKrE4RY/B5rbTZKOxj1EVTUaTwf5prc382rrOHTCx7JqLxs+aqS5PcTlfXPYl5B8G7KMvbrp17aiacnSlrV1jB2YRyiq4Ip1VN12GbfDitthxWGRYj9/8YO0n6X+nRH7OzPF7y6APcAXE8GwQlTVmDm6Lw0n/fxw/W4a20L8/KZhQraovslHjtvO8jfrTa9NK00UURjY0wNSepMVoQOtaXx6OmA6Trx2LugDNvet3cHKWSNSHi/TaWPQQ68KfuDLW49w6xX9xXNrvnEZmoZJBsdoYXocVlbOHpHUToxvM6bb3Xbpmp6fUBRVbw07rCiqJpzdnpwxnCXTyuiZ5dQxmfHZMdlw0k//vEx+t/0IVw/qKXSX4yMem4YcWKpj1Tf5yM9yJGHU4C4bNJBU2MzLdDCvVufSLnljH4XdXSmHIxdv2MO67Uc6pcvSSNidCaMGFrtw+vlEOKIQVjTBh9+w+zizxvRlybQy8rOdaY2gEoeRwbD+1mc7/tcLdTS3h1g8tfSMuDScMY3hVeM4vlCU+ysGcd/aHSY8GkOG63cc44NDLfTu7uLmlZ2uhkurvFw3tID1O44xr7ZO8K3jqR5Lppcxa0xfVm06JAaoOkJR9je3Uz3qYqGXb6JkdOHxXzpUtdOyHTrXvl/MKhc4T3UPP5Nxjj+imIb06pt81G5p4FtX9EOSJBxWK3NWfZikxJEVU69IpYDhssacCu0yQbvMmOI8nt14UHcX7JGBP6II9YuH1u1mSczNduWscoJRhUcmDyXXbWdZlRdfKGKSojSMhgwZu3T5gMdh1QcsQwphRUXVNCQkLBIomoY9qhJWtc8s6Xe+4qwVaE3Tnor98w1N0/5P/B/gz+f39C7MMHh9BiXigZd3Mf9rg8jLdHD389uxWiSx20vlN3+guZ2nZpaLqu78aweyeGoZz7x3kPZglJO+UJo2dFTY3D676RAWSTJVONKK7jvktK1EY9d3T20dFSUFpudOGtY7aXd4/9qdWCySLqKekDwrihpru+j6vHPHFye9ZzpzhAtBFP3LHKqq0eIPM2dVMibvXL0Nt12X1bp++V84ksJIIh0ml7y+lwUv7eTqQT1NusvxYWBz8dRSarc0EI5qSZW3ZVVennir3mS5bYSR6MQfLxGbd40rNj3PF4qmNFpZOGkoFSUFPLPxIP6QLscUzyH1BaMgQVRRCaahEvjDSsrrtgun5x6qqtEWG6Yz1sRJwwpZtekQUVXjnto6FFVLaQQVUVVWzDBj8tEppQKT8792CcuqvVyU5cQXTI3L9mCEPQsn8tTMctZtP2JSJ3p248GUVe54nBmbyHicGXg0npvtsidhcf4LOwiEFZO74DMbDzIoPwuXTQZJx/Bf9jaxr9GHy3ama6sLj/8Kkc4B022XxXp5rsY5brts6ugZ15fbLuO2yUKJI57e9MDLuwhFVdpDUY62+nlqZjl7H57IL2aViwFCgEBYZc2WBjKdVpa/Wc/7+0/Q4g+LvMcfUujfIyMOtxLfeb6OJa/vpSOi4AtFyMlwYJF074g9CyeS7bbFhgOtLKvyCsfi+A63sbkNR1UUVaWb20ZGjBKqxuipYVXTr6MvOM5lhDGVRfZ5t82+ECPeICCxXfjBoRbys53sWTiRmsohuhtQtZlDWh7TY45vqbz+8accONGBbJHIyXDw1Mxy5l870JSAPP2e3r7+7m93MmlYIXmZDmyyxG/mjKLuB18nGEm9yDaeDqZsJT7xVmcV0rhpHD0VEM89kxtSIhcvGlU5GXdxfXvVVqpGFpk+g9FKX1497DO12Lvis8fZMOlxWgXvuGemw+yylgaT+xrbuGtcMatvG0UPj4Mct52n3zuYRAl5dEopT793EEWFAyc6yM92sm77ERZPLaXuB1/nN3NG4bTLFOdlpOXTHW7xm46XCpvxLfh0ibjLLlOx9F2Wv1mP2yGL1qehCGFw8u9cvY3TwQg/uyk1FakLp59P+CPJ3PoFL+2koqSA3t1drN9xjN9tP5LEa/75TcOIKCp3rNYxuWH3cWaP7Udhdxd3jSsmP8tBUa4bWZJoDYQJRZQk17/FU8v4we/1pCHDYaXS25s9CyewYkY5vbu7qCgpSLuJqm/yxb5zL0vf2Gv6fWKCnS4x6pnlpGLpuwz43itULH2XAyc66AhHTXMh5X1zONDczqCHXuXp9w4mtcq78PivE2faIK3bfoSayiFp5wPSbZT8YSUldckfVmKSslHuufaSpOf4w/r94umNf+P46SCqoqFpYJEl2oMRorHkdXJ5odBvTyyoWSS49UpdRWNZlVdcBw9eNxiPw0oPj5NWf4TvPF/H23uaaA9GsFks6PUMiR4enba3vu6ouO/874mX8uSM4Wzc14yq6VK6/pCCP6TgtFlwx4ZrMxxWAhcAfemsFA5JkkYDY4C8BM5zFvBvefWma7UZN3l/SKGkZoPQZH5nb5NoKXeEzKoWBudn8dRSrr0snzmrPjSpINw1vhh/WDFNlBsXyVMzy5kf5xq3ZHoZP79pGHc/v910DFmSqDt80qQp2dweNLVMjV3f43/aI9y70rkEtQejpvNfs/lv3DK2X5Lv/bxaXcf67msGmnQsjcGZL/E0+QUXZ8NkfZOPiqXvChkt4UYZU4ZJxGTtlgamjywyKSAsq/Zy6xX9cNllnpqp63bWN/lY/CfdtOf9Ay08MnkoR08FmD6yCEtsiDS+PZjltCa5Zi6ZXkamwyocBuub2pOwebjFz7IqL7VbGrBaJNEKTMRmIKyw4Z6r2LD7OA0n/fTIdAit3rkJ+Jz/wg5Wzio3XZvxWOzC6T8eZ8KlYYZQ84ePaQtEhGFKU1sQu9UiMGnMdtwRJ3G3aGop4YiCbJGwWmTRpjZa2Ydb/IAmzKQCYUVX1mgPMf+FHSZMPzljuIl+saxal7tbMbOcqKKkrI4bCfayKi+Np4MpsdjUFmTDPVeJCnSW05qEwXlr6lgxs5x37r+ai7JdtAUjJs39Ljz+64RRaU70iXDZZKpHXSzUWB6fVsZvPzxMRUkBA/IydFqeXda7uwnfeToKhDFr4LLJSfQmwxXU0Ij+6Fgr3d02E5XjqZnl3LF6G3mZDhZMGMTyam9SQU1XFLNyx3PbqBiSz43lhcwdX0xeloN9jbp5W4bDyoSSfL7p7Y2GodMfTXIXrW/uYP2OY9z74g5+MaucpvYQbodeQQ9FFFQNAhEVLSZnZ7gRftHxWc7ADnhiz43nQbcBN56Pk7rQI9G4Ajpv8oumlnI6EBZc5cde28OCCYNoC0ZSur9BZxvQkOKCzsXVuCEkclaNiyQxIXhqZrlIlNsCESwSHG7xU943h1WbDomWYg+Pk4//TwVOu0zjaV2uCU3j8Wle0W789lX9U3KkrBb9IjSSnIqSgjNwm3Ud4UQ9y0Rb0K74x+JMmFxW5eUnr3wihlqf2ahvxgw3yoEp2oYVJQVi8BTMhhXXLnmHPQsnJkkbfXBIt9o2WtzxeszGhmrJtDJUTRM22x2hKKqqMWfVViHlVdanO7trvg6A227FF9I1zLccPElFSQF3jR9IKKIk2TybjFaqvLy6+zgzR/fVj5Oufeqwmvit8Rjtwuk/Hulw6QtFURRV8JMnlxfyg99/JNaUAz+5TnxfqXih96/VCwh3xjn5RVVNvN6QizM6Gt/73S7mf+0SkyaugemVs8p5apauzWzIKBoSiUW5bn4xqxyXVcYXjpIVk/dy22Ueu7GUV3YdZ+LQgqRN4U+n64ZU8QWO38xJvfZ7HFZOdYS598U67qsYZJJ/7MLjv04EIqqoNBubqnXbj3Drlf2FWZkhQ1o1sojaLQ1MKe8jdPp1PHjJjdOpT1fk0nXJrbT4I0QVlbnji8W93xeK0nDSz4IJl7L2w8PcMrafSc4ufqjcWN8XTBiU9F4WqXNdzct0cOOIPswe2w9/SHco7NWtHyd9YaYML0TRNMIRlfZgNKnQljhzkOGwMrGkgHBEpy7ZrBbqm9op7pmJLOlGbS6rzo/+op0IPwsH+p0Y3/krCRzoJZqm7Tvb6//VQo21LhLb2CtmDCcnw06vbi6yXXZ+NXsEf/6kkfU7jpHtsovhAYM8Hx9nagMaF1q6NmPi8z1OK6s2HRJt6rZglH49PNRubjBxpXRZuTDzX6hj/os7CEZUvv/7j0S7cfmb9URVRKXSoKTUbmmguT1smkwfmH/mc+yaGj+/kQqT868dyFMzyynKdeOyyzw+rYwnZwwnx2UeIDQW1MTvLlVSbSgXRFUt7fd99FRAd55M8/r8bCf3rd2J90d/4uaVmwlEFJ7ddEg3Bfpa3PT5qq20BiLMf7GO25/byil/hJe3H6Ni6bsMeuhVnHaZrYdaeHLGcPY+PJFHJg/lsdf2sK7umEjWpwzvIxJ0YyAt8Xz9IaVL2eA8RSIuJ3l78fZ9V/ObOaOwSJDttlH3g6/zq9kjWLxhj0h+a75xGe1xmEyHJU+sgJAOi4GwQk3lENEh6ZOTetDQZbdy+6qtnPCFeGbjQeqbO0xY/PYqfa1ctekQl8TWzmZfiEUb9lDzh48Z+99v0t1tF+vkI5OHkuW0CrMYA1tGKzzxPOubfPTJcXPn1cVJ6ktdePzXCXes0hzPV64edTEuq4UWf4Rvr9pKfVMHJ3xh5tXWccPwQjHg2omHOhOdw22TUypkxDsc7vm0TShx3PtiHZlOK4dO+uiZ5WDSsEI8TqtJXm/jgnH4YjNMGxeM4/v/MZj71u7k5W1HTO/lsOqa6Zf3zeHB6wbjssl4HFZOB8JMLi+kuT1IN7cNkNA0mFdbJ5xm4yOREuUPKcyrrSOialhlCy6bLBR8nDFlkUBU4UJovpxL+u6XJGkRMARwGg9qmjb+cz+rCzQMLc41m//GDcML+c2cUfhDChaLvhOMr0D87CYvNwwrZObovnSEokwoyScv04HTakmq6j46pVQAMZkuEUlrI/vClgbT+RkDL5OGFYqWyP1rd7Jy1ghuGF5osv2OVz+oWPou/+uFOpMSgpHUL3+z3mRGYLVI3H3NQPwhhd9tO8D1b9bzxvyvcqC5nRUz9Fa4MWk/fWQRD//xE/Harqnxzz/i3a0mlOTH2uBWTnaE07q67X14ohCs//R0gG5uO4umlpoqX75wejxCahv4x6eV8d+v/hVAbBQTX994Opiyy1IBadU5Kpa+y31rdwh8xquDZDptaBpcu+SdpGq42yGzYfdxRvTNJcMu87ObvPiCCn1y3Bxu8eNxypwOmPVWuzD6+UTiWrn6tpFJBjrxmFwy3UtN5RDqGk4xrCiHZzceFPhqD0ZSYqntDFhcVu3lL/ua6J+XyU+ne7m/IrmCZhynvsl3VizGK8AY3b54PPpCUSqWvktlWS/uGlcsLMDjY+kbe3lyxnBa/RGBwQy7zJotDRCrDnYpbfzrRrzudyor77xMBwPzPWgaQv3FSGzjHV3j5dsMSmQi7UeWLbgtEh8camHFjHLuWK1XmDfccxWNp4MMK9KpmB8da6WHx27qfPzlu+NQNE3I3d23Vq8Yv3/gJCMu7i7eC/TrfMWM4WS6bOxr9OGwWlhfd5TqkUVEFQ2P3YpFlgB9mLEjzX3FH47y9n1XizVZ0FA0aAtGTI6EsiSR4dAdnL/oOJcE+jfAC8B/AHcAs4Hm83FSF2r4IwprNv+NScP0ZNRYrFfMLDdx2/IyHQQjKt953kx9+I/SAu5+vo7n/nOkqY2z+E97WDK1LCkBnTSsEI/Dqlf08jL0NqM9Zrm9v5lJwwp5/0CL6Ya0+E97aG4PsXLWCO4aVywuOJfdaXrPJ96q55Vdx8XOL5Xkkz/hhmO4IwIEIlFuu7I/t17RXyf322XuWL3VdAM7esqfxGX1h5Wu9uPnGPGL77hB+dy5eluSnfX7B06ybvsRYaYTj0mnzYLTJrN4wx4TPtxWOS0eAYFJg7d6uMWPOzYoaLVI2K2WpKR80dRSrLKUdEMwMJjqZpGIT6Mlv+T1PYJu5LBauLxvjsmi/nCLn+b2EOV9c8iwy9itFnxhsyTjsmovO4+0mv4/uzD6+UTiWnkumPTENu71zR3UVA7RVQCqvHSEFVPiGY9F0Cf9i3LdtAUiHDzho/ziHFOh4mc3eVk8tczUEl9W5SWiqOz/yXXUN/kYkJeBJOmJh5EMG3gckJchPl8iHj0Oq9DwNVrS8W3z+iYfB5rbCSuqCYOPTyvjpq8U8aM/fMJd44rTJBddePxXDsNgZf7XBtFw0k83t42fVesKFYmUnkVTS5Mc+CRJQoq5rMb/2x9WmDu+mExXJ72yuKeHVn+ITKcVTYPRA3rQEY6a5PUMacn/qt1mopzWfOMy8jKdvLevmdEDemCXLaj6mwraxs1fuZjJ5YWs2dJARUkBkkWiIxRFkiRd89oup7yWXTaZB17exbIqL69/3ChoKKoKWU6b0KZ222UkST/mhaDCcS5XZa6mab+SJGmepmnvAO9IkvTO+TqxCzHcdpmKkoKk6kSiCcVd44qT9B6Ngbr8LAf7mztMN5PKsl66jXLcYr+0ysu2v7UQiGQyun8uk8sLsUoSlzz0KtcNLWDBhEFku2yiCn46EObR1/RWpdUi4bLL1Kz/SFxwhvNcfLJtqCKAWfLJ4GZVjyoSPNP8LEfSxWwMdVWUFCTzXdfUsWJGOaP755r4fF1T459vGENaf5x7pcBlqkpWSk5zDJPHWgM0toWoWPouoOPxoesHp8SjqmWn5a3Ov3Ygt4ztJzoUL207bN4obtjDkulmruiiqaUEIwqapqW8WQTC+sKZ2JJvbg/hC0bZsPs41SOL+NlNXoIR1fT6xVPLeGnrYSq9vQlF1c+E0WXVXlzWcxEn6opUkbhWngsmn4rp4q7fcYz1O46xccE4JElKSjxDUVV8d82xoSNV1chy2eiZ6cQfVlh92yhRMPjO8/qwdjwmcz12Zvxyi+n7d9tk5o4vTtIZX1btFbMf8Xhct13Xz//RN4ewatMhvVq3/wRVI4uSBrMSuab3vqjPrTS3h3jy7fqkTeeyai8umyXlAFlXfLkivlsYf0902WShlJGX6WDJtDLGFucRVbW0utHpjjl3fDG3jO2Hx2nFKsEtY/vRFujs4LQHIzisVtoCEVr9EYpy3aLibUQ4RhlafdsoIUe75I19TBrWm/f3n6D8Yt299bEbS3HaLORkOPj0dICbvlKEVZbIsdn51hX9REXcZZMJRBR2HWklx92TiKolXcuNbUFx/T8yeSjXDS3AZpGw2S34IwqyJOG0y4QjChFVw26RCEQUMuUvdq0+l3ePxP4+LknS9ZIkDQMKz8M5XbDhDyspbwSJHLz0rTgr91UM4v39J0yycvO/dkmS3vI9tXWMLc6juGcGj92oG0Q47Z0azYqK0Pyds+pDYu6dgLktef/anSndfha8tJNbxvbjybfrxXDZqk2HTFqSP/6/n5DjTu+OOC+mHZ3u82a6rDpHNabDmnkBOAf9q4UxpBX/HaTihJ4Jky67xeSgmQ6PY4rz6OGxs/fhiaycVW7irRpKCYaM4ZxVH3LN4HyeeKte8Oob20JJmrr3r92JpunUi1T234Dg9f36vQNcv/wvNLfrQ4LbG1qoKCmge4YdhzXZPvy+tTuoKCmgT477jBj9xaxy9hoc/80NtPjD+MPRLpvkfyAS18pzwaTHYTXh0SJJ3PuimQt674s78Iej+nf3sG4JX7u5gUu//xrN7SHsVgsPvLyr0/Ht64PIz3JwUbZLSMvVrP+Iwy0B85q2pg6A2WP6JUl/zVujD8caA+IPrdtFzfqPmFxeyEPrdnHn6m1MH1lEzTcuY/SAHknXUFrTCKdV2HnnZNhZOWsEex/W18zazQ0Meug15jz7ISc6QsKmKBeLVAAAIABJREFUuSu+fJHOTdJiQShlrN9xjI6Q8pmsthOPed3QAqaU9+H257Yy/4U6WvwRPA4rdYdPsazKy/xrB+oGJQ6Z39cdpZtbH4htaguKa7OyrBdtIV1q0ZiVqhpZxJM3DyPLZWP0gB5iLqp3dxe5Hgf1TT5e2noEl81KRFFp8ZudEcNRlQyHVVS7U13LxlJrDKK/uvs4dptMU1uIjlAUZ8yDQNVAliQUjS+NCocRCyVJygbuRdd/zgL+13k5qws03DZZDFzFt9k27D5u4jWnk9iqb/JRs/4jHpk8lCWv7xEtR0jtMuVxWjnZrg+rNLeHaDwdZFm1F39ISaqCL3hpJ4/dWEpze8jkuGVccKnoGx6nlSXTvTS3hXhl53Eqvb25+5qB+IJRNtY3s37HMaGmkE49pLinR9h998lxi+M3t4fY1+gTVU1D0q+724ZsseB2dEkxfR5h6MPGYy4VJ9SXhmNvYHJplVdgRErjhOmJidm3BSLYZYtJ3iudUsKSaWW8suu4mCCP58Qbx3XZrYCWEqNuh5UVM8rZtL9ZKHAYbls3DC/kysfeYnT/3LQKB8U9PXx6OkC2y5YSo4mykvq5t7C0ykvUpqV1M+yKM0fiWnkumGw46dc7aGfBY06GAwk44QuR47ZTUVJAfXMH4aiaNO+x4CUdi4be+Jnw6I5xL1NRigbme1gxs5xgRGHJdC8NJ/089lrnRvKe2jpBfUo8509PB1JiMF5NwG3X//bFzGcSOya/nD0CLaJ2rZ9fwkgn6WiXLfiCUUH5yXTpFeJAGgUbM146jxnvqvmX747j3hd3sHhqKcU9Mzna6qdqVBG+UJRAWOG13Y1cnOPmK/1zkV02MR/Sw+NIVgOr1aUW2wIRMp1W0ZmpqRxC724uDjS3UzWyCE0DX1AxKd3kZTpQNf2ekeWyJVW7jf+D3t1dQn60PRjltD8SS5g18j1OOkJRNE1DBdwOq67Q8WVQ4QCQJEkGBmqadlrTtN2apo3TNK1c07T15/n8LqiwWCQy7DLLEhQ4po8sIsdtF9WQnpmOpOc8OqWU9/efoKZyCEW5bhZOGkqGQ0bTNNFiiY/L++bQFogwt7aO+V+7hMVTy3j0tb+Sm2FPa1vbu7uLpVVeMXVuHMcXjJomf+/7+iDmji+muS3EzSs347BZ2NbQyrVL3tFdFkNRKkoK2F1TQU6GfnEZCVriObb6Q8Lu2zj+dycM4uc3DeP9/SfEZG9N5RAKu7loD3UaCRgmLF2Vvr8/jMGUnlkOoXbwyq7jrNt+hBVxDlMZjmTcxmMyL9NB724uPj0dENz3+DAk8fY1+rhz9TZOdoRNxhVnUt34648nUFM5hHBUTamp2xGKctIXTolRfyiKx6lPYRvJcDeXjbuvGUh3t53N37uG5VVejqZwV7y8bw6BiILTJtMWjCZhdMWM4bhseqIW74SVn6W7Z4lqehdOzzkS10qByRnloiOVCpOLp5Zhk6UYHp18ejqQ9rs93OJnX5OPeWvqOH46KHDTq1tqd8H8bCeZTlkoCqXDoy8YxR/R+acmTFYMIhhW+P663UQUFVXRyMmws7TKy84ffp1nbhkhCh+JzoiVZb0EDSUegz+7yYuiqibDH0Mmr6ZyCJVlvcQx8rMc+MNd6+eXNdK5SQYiChvrm4VSxtFTAbKcNlRNSzIHWjS1FIsl9THjXTWNf1stFu5fu5Ne2W7mrakj02nj0df+ys9vGkZxfia/ePcATpuFUESnVbjSJPmZDit1DadMxi3v7z+BJMGY4jxqtzTgdshJSjcLJgzC7ZCpO3yKjlA0bR6xr9EnDLxkCW69oh+nOkJclO3S9aatMh6nDZddJhjWaRwXwr7xMyXQmqYpQOV5PpcvRciyhR4ZDtFmWzGznBe2NHDpD17j6fcO0haI0OIPU7u5gSdnDBeL9Zt/bWT8pfnUrP9ItLgBAmGFlo5QSimadduPipYGaPTvkaHbuqaR5Go46cdplWluD3UeJ6b7m0jfmD22H1YZMaSzcFIJex+eiD+ssPbDw+IcQ1EVq8XCRXEJWrxMmsNqTWn3bbdaxOc1bhgdEaVLpuk8hMUi4bZbyY3D5dQRfQhHFG5euZlhP3qd1z/+FLtsOSsm7VYLskXip9O9SQt3hl3mibfq9c1aNxePvaZ3UQwDlHSYPHIqQMXSd3n0tT0pLb4DESUJQ+u2H+FbMdMWf1hhYE8Px1oDOG0y97xQJ843oqjIssTuo62mZMzAp9suI1uSKQD3r92JbJFo8Scn7gsmXJrk6tiF03OP+LVyz8KJzBrTl037mzlyKsDtz23l0u+/hlWShM3vYzeWYpcl7lu7U0gZ2q0W3HYLS6aXnRmP3V1UDMlH1bS0bm4NJ/20BxVBKXr0tT1JCYqxXnYEo7y89YhJwnPXkVaimsZPp3vp5rLhC0fFJuv257ZyWa9s1t7xFeqbfHicsjj2JG8vfvTNISkxaJP1xKAjrOtin+wIC5dXA49GEn3PtZd04fJLHK6YAlfi+pfhsNI/L1OsgRYJ2kNRLsp2ieFuA4OLN+zBGTdH5LbJrJgxnLfvu1rkBZVlvfCHFH5W7SUvy0F+lkP83R6M0NgWwh9WeHnrEapHFtERUkTl2lC8iQ9D8aagm9tEQxo9oAfv7m0SVt9HTwWSEuRsl52OUJS+uR7e29dMD489ZSHnibfqRbW7PRhF0SDH4yQQ1uks/ohCa0dYSPhdCPQNODcKxyZJkn6OrsTRYTyoadq2z/2sLvCwWCQ0NBpPB5kfWxQry3pRUVIgdnzvHzhJfXOH8KCvqRyS1OKeGzOmMFqRhrlEezDK77YdoeYPHzO6fy7+kEK2y8asMX35dsxwIlG431AmWDLdKwYLA5EoORn2lCYsHrtMi1+fnHXFWjKGkcXd1wzkhuGFLNqwh/vX7oydo53uLr3K7rLJtMRk0tJROzIcVp5+7+AZhy2N53bJNH0+YeDy53/ex+wx/YR0UWVZL0YP6MGdMWeps2FyaZWXTKdV4NEfinI6EOHHf/xEOLu1h6IML+qGHCsDBCLKGTFpqBx8dKyVFTPLyXRaaTwdJNdjByQTLgw+9dPvHRTtQgOb3TPsPHZjKYti/GsDn1cMzMNlk0VlM17Gb8/Cialx57Dy6wSMLnhpZ1o6SBdOzz0MTM745WbyMh38+JslApegK2hcN7SAGb/cTE3lkCTqRScebWfEY+PpIBOH6kOJZ1sfDSxu2H0cp83C0ul6otFw0k+O286BEx30yLSbhgjnji+mamQRt8cZ/hTluk1YNIZyfUF98LWby8avZo+gIxxNaz3vcVgZ9NCrYmCwdnNDEh5rKofQ3B5K23nswuWXIwJRVfCHDVpQ7ZYGvnVFP1MH76JsF6v/3yEmDSs0DXeDToVMVGUxlF1Wzipn0dRSZElC1VTGFufRcNLPA9cNFooeqzYd4tEppfTu5mJKeSEhRSXX4xDv7XFYU7olehxWMnvaRJL+/oGTDMjLENh7Y/5X+fMnjXyjrJdpENZlt6BpOsd76Rt7ueqSPLIdViGFZ8ipGh1zo1OkqRqBiEpYUdHCGmFFwWWz6gWVkEJHKIrtAihBn0sCPSb294/iHtOAfxsd6Phw22SxG4uXL4pPKIUxQOUQBuanbnEXdnfxaVswSX2g7nCraVilsS3Eoqml5GU6WFd3jPsrBvHI5KGCT2coEzSc9HPtknc6J9UjakoeVUdEtzY2kijDyCLxwlny+h765Og8bYMvu2JmudgtG8NBqXiMFSUFJg3pdM/tkmn6/MJtk6kaWUSm04xN4wZuaCWnw6RBX7jtWbMF90tbj/DKruOiYrCpvlkkLMbzVs4acVZMLqvWZcqa20Ix+buAkKEzcGHwqc+EzaVVXoYXdWPhHz+hT44bSYIjLQHxunjFjXPB6AeHWkw3ifjnd+H07wu3TRZqPvHc4MqyXoy/NJ/aLQ0iOU6HxzlnwaOqacyv3SG+swevH/yZsOiyWXFlyDSc9LPk9b0smDCI+yoG0R6MmjaXFSUFzKutOysWjcJBPE/U2Kymm0GIH1I0tKaN+OBQCwPzPdRUDklrGd6Fyy9HuO2pfRX+a1yxSaO8vsnHa7sb0TT4nxnDOR2nG97dbTMpWflj9/H3D5zEaZPJVDUyXTbag1E8Dis/+P1uFk4aiqJ1KnqUFmbTzW0j22Xn1+8dYPaYfuK99zd3sGH38SS3xFvG9qOlI4zLrndWdh1ppcUfNsn5Lppayq6jrYzsmytcFf1hhZO+MN3cNn5YOQSQaEvwzHh0SinbGlpNmuqyJOlW3ujKG+8dbOHKgT31irSjU43DmeL/+Z8Zn1mFI8Z7Tvzzb5k8g96eNLii8QNUidPm63cco2b9R2l5zr5QNKX6wMJJQ5Pc1e5fu5O7xhUD8Ohre7BIEjN+uVkoEzw+TecPGu2e3354GFXTWFatT+BuXDCO3TUVuhMYsHhqqUii4j9DPNXjnmsv4XCLn/omH8U9PUmVZGM4KLEls/SNvULD1whj2DL+ucurh+Gy6jJNqqbz/7o4fX9/SJJEltMqBOuN7zUel+t36I5+qZzRUrWJ59XWMWtM38424p/20D8vU0iQGc/79XsHcNllEyYXTS3l7T1N/HHulay+Te+MfHo6yD0v1OGPRDl00kemU+fZb/7eNeyuqRCDWsU9M9Ji857aOm4YVsjc8cUcbvGbBmsT+djngtHL++ZgkWBpF04/tzDMHmoqh5joFcb3uuSNfRxtDfxDeLwo28x7DkdVrLJ0ViyGIgqXPPgqD7y8iwevH4zbbuX+tTvxOKwsr/ayu6aCA49cR+9uTvKzHGmxOHm4jkVjfiQRi+kw+MRbnd1BY+g1PnR50SjFPT2omsbj08qSKCeGzF0XHi+MMHjsietEOg50MKqKTebo/rlCzrAtEMEfUgRv/oGXdxFOUGGJHyI85Q/TEaN4Zsb0+xvbdHnH+GLfiL65hBU9Ea0oKeDZTQcFNp98u15wsQ1a27TLi/jd9iNku204rBacNgtjB+ZRu9nsUvzy1iMML8qhxR/m6fcO0h7U7cTf2duETbbgkPVqdOL1vOClnULd5tEppbhtMpoGjaeD+EMKUVWni7gdMqqm4Q9FsccKmF90fOYzkCQpH/gJ0EvTtImSJF0GjNY07Vfn7ewu4FBVDUXVWFblNbVAUk2bPzqllHXbj6Z8PF1rz+2QufZHye5qxgJrGFkYrRB/bLp2bu0O0/FddhmnVWbmGN0Rcc6qzkrO49PKOB5zjEs3BFaU6+Zke4j1dUfpfUV/NtxzlcllLtHEYF9jZ7XHF4qaNHYnlxfitsudrdiwImxME7UxczPsgL7Djndt6po4Tx/xmqCLp5by+LQy8rOcpht4PP4y7HKSsUS6NnGm08aA770iHvvpdG/S85a/Wc9/jSsWWDC0oMdfmm963+XVXvIyHboO88xyXDYLoahERFFM+FxW5WXu+OL0EnROK7PH9iOi6LauhmpC4vR6oulLfEUyEaOLppbyvd/ton+PDJ6aWS5UOLpw+veHPpisULP+I/IyHQKH8d/rE2/V8/3rByfpIKfDY5bLxs//vI+KkgJ+Ot2LP8Hh7KJsF/e+WCcqaYFweiw+dP1gav7wMffU1rFy1gjysxz4QlFCUZW5a8zrZc9MR8rz8Tit/OeV/ZHQ5fkSsRjfjSzu6cEfjvL0eweTjKY6UuAxGFEo//HrXN43hxUzhov10xeM8szGgyx/s96ER4tF0u3ruzD5T490Ws+5GfaYYpKZWrQ8pjtusUj6vMDsEbhsFiJRlW9d0c+kEGRQmlbOHiE6DkZSXjEkH6dNZu6arSyeWoqGjQ27jwuXY4uEKKgAfOf5OpZO9zKwp4fr40yLBvTIwBeOiu7N4RY/TpuFi3PcSMCqTYeYUl5Id7c9SSf90SmlZDhkntmod2CynDb2Nfn46iU9cdliOEzRZYrvsqzbfoSKkgIG5nsIRqOcDoQp6OYCdOqW2y6jRFXhSpjptP0zv96kkAwN1rM+UZJeBZ4GHtQ0rUySJCuwXdO0oefzBD/vGDFihPbhhx/+Q8dQVY1gREHVwO3Q9Qmffu+gaM0Yjn1FuW7T7yrLenF/xSB6d3fRcNLP0jf2cs+1l5hkX0DnOT01s5yWjnCS5NEjk4eK1xXlumkP6lwgRdOS5LhG99dbKYqq0eqPpHyfx24sRdNA1bSUvzc4fW67zA/Xf0RjW4if3eRFVTGZBBimKsZivqzay6u7jjNleJ8Yb1FPchxWC3Kc+LkvFGXOsx8mve+vbhlBR0hJuRD9k24EX/jd5lyxGgxHCUZVslw22gNRHFaJiNqJi3hntfZghB/8/iMAEyZli2TioUInHm9/zsz/NNre8UYqs8b0Jctl4+ipABYJIkpqXK2cNYKjrQEG5OmDsS0d4ZTPWzGjnFP+9L+TLZLgxQajCt95PrXpz+PTyrBZJObGY7bai0O20BaM0qubi0BYx6gzxrNz2zuTjgsYp3CBYzUYjhJSNDKdOuex7vApRlycC2CSzKos68WD1w8mwy7jdljPiMdfzCrXh09jJk8LJlxKfrZTrKsPXDeYQMztrL7Jh8chp8Wizpu3xrpsGRxuCQCkfO6TM4Zz5+ptSY8/MnkoPTz6Zsrt0N1in914kAMnOpKwaJgSDenVLcmo5egpP/17ZAoH0CffrmfJdC+ACZPp8Lhy9gjcNjltEvcFJ9EXNE4/j4j/XuLXW384KqQdT8UoGSd8IVw2Xe85GFFQVXDZLbQHo/hCUQqyXQx66FVTEc1qkdj78EQsMbdBVdVoD0Z06267zCUPvspD1w/mxvJC/GGF2i0N/Ne4YiKKSnswSg+PAyS45EHdkG3hDSXcHrs/1HzjMqaN6ENTeygp7zCukUEP6cefUl6YNt841hrkQHM7Y4vzeGbjQe4aX4w/rJDh0NVp4uUZjdcZVCe92HiEW6/oh6JqPLvpENWjinDa5Jj+c+f/hU7zOG9V6M+E1XN59x6apr0oSdIDAJqmRSVJ+rcb/zUA2x6jXsQvfqBX4ZrbQ3ic+jBgptPKt67ox13jiwmEFQKxielcj53Hp5URCCs8OWM4rXE8p25uG2B261k0tTRmXanx4PWDk3axORn2tMN8QNpKd+/uLlZtOsTXLstPOXjjtsu47bqjkLdPN2r+8DHfeb6OFTOGmwYB6hpOCZ3eQFjBZbfw2u5GbhhWyM0rN6ddyNNpY6oqQiAejN33dtPuuys6Q1FU2oLRpE2N09ZpqW1sYCSJmNJGGe3BKAdP+Mh22WJV4yhPzhjOqk2HhElORyiKXZb4zZxRSVWvRVNLsUjQv0cGVSOLuHP1NtP7X5SdGpeGU+ayai89PI60JhOZTiu+UCQlNj1OmSferBfnqWhQMSSfmj98jLdPN56cMZwsl24D+/K2I2z9W6vZhS5Dd6GrqRzCjF9u5pHJQwU/dnn1MNNwVhdO/75Ih0ubBZ569wD/M2M40dggk7HJ3tPYxs4jp/mmtzdZLhtPzSxnY32zkDI0Boi+vaaOiiH53DCsEI/Tyr5GfTDw/1QOIZTCMrtPjjNt9Xj+C3U0toVYXu1N6c5mPDfLZTvjgKJRFS/u6eHWK/rTEYrSI9MR635YqW/qIDfDznfW1HHd0AITHnPcdk51RLhj9VZqKodQsfRdRvfPFRJf8ZhMh0ej4tyFyS8mjO8lfi7KwMlTM8t5NrauapqG3WqhpSOM2653E2q3NDBrTF9R7ErHm4/nvFssErLFAjHKw+V9cxg9oAdzVm2lYkg+t17Rj0BEob6pnUH5WfhCUcG3Xr/jGD+dViastYty3fiCUdbXHRXru4Ft4/pae8dX6J2gxmGEkW8YHRijEu0LKThk3X7bbZNT5jseu1VUoKePLCKiaEgS3DK2L6oGNouE/QJ0MT4XJ8IOSZJy0QcHkSTpK8Dp83JWF3D4Iwqn/JFkV741dXzrin7sfXgiv5o9AlWDO57rdONpC0YJxAj/xmMnfWEskiSmaAc99Crr644iSRIep43HbizluqEFgv8cjqr4w2oKKSNd+iWddFNbIJJWf7HhpJ/xl+bHnIRkHruxlD0LJ7Jy1gjWbT/C4ZaAcCSaOLSAyrJeTCjJR5J06bR9jT5WbTpE/7xMnnirnhm/3MwJX4iOkL4xSJTQS5RdSscLS9fq6Zo4Tx3+FFJw82rrkCSJgmwnv5w9ggevH8wDL+8S+Pv0dAgNKOzujnMQ3EpYUZk1pq/gwd3+3FZOdIR57v1DtHSEufuagbx139XkZToEX3/2mH4p378jzffrC0YFjeNM+GwPRtNis6ktxKRhheI874hh9JlbRnDDsEIynTb2Nfp4+r2DXDM4H8DkQucLKoIWtWhqKUte39uF08850uEyrGrcdmV/oooq1sQ5qz6kxR9mUH4WE4cWcOfqbUIirvziHDbsPi7w2BaMcvtX+/HNYb055Q8D+uawemQR/rBemY5/T925ML283fyvDSIv08Hcs+DRF4zyyq7jQprP4GA3tulGVwYe732xjmA0Kgomrf6IsJ7f39whEph4PO5v7hC0luKeniSJr3hMpvss/pjsVxcmv5jwhxXmji/mR98cksSVd9tlJg0r5EBzO6GoSkdI16Y/2RGmdksDk2JrlqGlnIo3v7x6mGmIEPQuuMEPXjS11ESN6ggrZNituO02mtpDaJqGzSrx+LQynrx5GIGoKqy1jWtt0rBCkXcYc1BtgQjv7z9Bcc9Marc0pJUt9cWq51kuGwdOdCBJkOm0ElE1OkIRwopKJC7feeDlXYSjKsGowoC8DCq9vbEAz71/iIiiIkkS7+8/QVSFSERX3wiGFYJh/d9fdJxLAj0fWA8MkCRpI7AK+M55OasLONz2ZLFw6Nx93bxyM4dPBZIW8NP+SMphGEXTxHOvG1rApGGFIvH+7m93Ch1QQ94lXiw9/r2zXDaT/W38oJTHYTXpksabFix5fa+uCz2mH7/dekToLCqaxqwxfSns7uKPc68kL9PBPbV1/PAbg5k4tIDbn9tqsv1et/0I8792idBnfWbjQawWKaWEnqmyF3PSS1wk0mldG+fXFeY4U0Vg0EO6vXEi/u5buwOJ5KGOeWvqaPVHTI+9vPUIE0oKxEJrYDM/y4HLLpPpSmNT7LCm1P18dtNB7hpXLJ6TYU+Nz2c3HWT2mH5873e7WbRhD4db/LgdMreM7UdG7Kax+rZRAqMvbGngst7Z3LHajM+Xt+r4jNdfjapKDFNRky25ce5dOP3H40y4bEqByfvX7iQatybGr5UVJQWmny/vmyuSEONmHFJU8rNTV5ozHNakITy9wrZXDDIZeEy3Xj6z8SBfvaQnkgRNbUGKe3qY/7VLWDFjOHarJPC4cFIJwYg5UWgPRbn1yv6Cm5p4Hht2HxfDvoGwIpLzeIkvUYFOg0d3jGvahckvJlxWS0wFydzxrfnGZQQiCh8da6X84hw0De5fu5OKIfnkZTrE4OmxVl1Lee74Yu4aV0yvbCdPxRli5bhtSTQcf0jhpC8kdKN9Id3V8IZhhbywpUEMoRZ2c5HpsrHw/36CwyoxtjiP9kAkSZ/cuBagcw7q/f0nGD2gBxkOK1Nis0yJ+caS6WWAhqppQjbvu7/dKQo2lpgDTOo8SB/8tckSa7Y0UFFSQG6sMzm2OA+X3UJY1XBZZRRNfw9Z+sIZQZ+dwqFp2jZJkr4KDELnh+zRNC1y3s7sAg1/WOFEe0i0VuJ5Tm2BCHmZjpRDT2dKuo3HU9khx+uAGjuudJJcGXa9SmfwOb/3u100t4fY39zBk2/X85MbhooBlKOnAjz62l9Zv+MYVouExyEnDdg8Pq2Mmhjv+dEppby1pxGbLHN3gsWscY5FuW6Otwb48R8/4ZVdx7n7moEpz7UjFBXkf8NJb+XsEaaBF4Dl1cOYu2a7iXfrDymoqvZFc/kuuIiXQYrHpC8Y5bqhBWnxl+VKTe0xpAuNqCgpEKob0Pm9PzJ5KP5wFAkpLS49TpkVM8vxxHimi/+0h1d2Heeu8To+9jd38MRb9fz35GR8vrLrOHePH4hFIolLuqzKm9RudDtkvvP89rT43PvwRNoDUdbVHWHGV/qyrNqLP6ykdKRLbJWeDacfHNL1gm8Z209vy8Zalv/OWDVwmZfpEJjUVVOiaTGZTi8+XqHig0MtIgmJ/67vX7uTX8wqT4vFbLeNlbPKcTusHD0VEBrOhpumgcd066WO22Ia20Lc+2Ln8K3Bp3/gZZ3aUfeDr6c8t5WzRlBRUkCvbk6emqVfE/6Qwq/fOyAKEYumlnI6EDZJMRqfwcBkOjxaLJJIruM50CtmDIfYrEvXUOH5i0BEZV5tnYl+UfONy7huaAEZdqvQ4ze05p+cMZy2QETQHrq7bSiaRtXIIlGVNg+9JnPZLRZwxWiWjW0hfMEIs8f2w+OwCpWNW6/oj4bGydYwjW0hTvgiFPdMT50zrrXL++bQ0hFmSK9uFHZ30RaI0N1tJxhRcdgk07ChPaaycdofoYfHLoyIhOb15gZuvaJ/2ms+ENZdY6tHFpGTYccf0jd8Hqf+2TIcnX9fKHEuFWiAkUAZMByoliRp1ud/Shd2uG0y3dw2Fk0tZf61A4UpxaCHXmXVpkP85IahBMIKex+eyF++O47Ksl5UlvXCl6bl0RGKsmfhRDbccxUD06gNDIy1mGVJwmWTk6TgjEry3No6/GGFGb/czNHWAM3tIdECbGwLcfiUPhxz88rNXPnYWya77444i874tuedVxeLJGTK8EKTjmv8ORb39OAPKfhCCsOLuvHG/K8CsGJGOfOvHWiqtCS2Ei0WSb8pSJK4ORg3iF/dYqYezFnVZV+bKmwWiWVV3iRMbqxvZuGkEiQJPnzoWmq+cZl4zdzxxUmWwxCzlw1HhbU1kBabRbluZEnCIpHkXmjg8jvP1yFLknCAM/Q+D7f4BT7X7zhGU3uIOas+pP8Drwh8Xt5Xd8FWm5nwAAAgAElEQVRaOGloMm0qoSq5bvuRtLMABncWDT5tC9IzU7dF7uFxEI6qLE+SrfMmtUrPhNOVs0ewZ+EEqkYVdVmAx4XBefzuhEGC2uCyy4CEJCHWSCM+KybPRp9ZntD1WFrl5e09TfzX6m0cbQ1y88rNxM/PJ+KxsS1EWFFT4tEXVJKqdvPW1HEq1rW5bmhB+nNzyLjtMpIk0eIL09qh009uGduPXt2cfOuKfvTKdqFqpMCkuX2fCo/G4wYm9z48kV/dMkJ8li5cnt8wvvcn3qrn5zcN4+37rmZKeSHzaus42hoQBYvmNr0Il+WyieTxuxMuxWW30haIirXN0ME3pBc7YsPS8eG0yTitFiKKyqKppVyU7RLFiuKeHpa/WS8Sz3f2NvE/M4YzMN/DCV+Ilo5QymvtWGtAyCR+cPAkb/61EV8oyvv7T6Bq0BaI8J3n67h68dsM+N4rXL34be5+fjun/BGuXvw2TptsotcZnUCX3cIb879quuYv76vrobsdMhoaskXCH1GwWgB02br45NkfUsSfLzrORcbuOWAAUAcYZ66hUzn+LcKQBspy2bDJFpPMTGVZL6pHFtEaCJuqZIunlmGR4NmNB5NkxJZV6dWvYT96XQwZzB1fLIZQ6pt8HGhupyOsT+QGwgpRRcViIWHnpy+cRqKwrNpLboadRyYP5a09jUIRpPF0EA1NmBrEDyiebSeq/04SWq2JlRFfKMoPf7+bxrZQkiLH0iov/zWumP3NHfqE7ZX98TjOvnezWCTUON1I6BqISYx4uaoMDW65op9pqrr84hzhyGdgTpLgtd2NzB7bj2fS4PJ0ICKmoovzMugIRwU2B+Rl6Dw3pw1fMEqGQyYUUXHaLGlx6XbIvH3f1Sx9Y68Y1nLbrfzqLwewSPD2fVdTlOvmqZnlSUOKP/j9Ryll8xKrkhUlBWnx2REyDz8uq/Ly9HudPy+eWsbi2M3ncIufjLiE5GxhJDK+UFRQD6ALq6qqEYiqWC0S96/VE4EHrxtMKJbMxXe6LBI0toW4JR0mq72EoroU3qKpujOaLxjlZ9VeRg/oQZbLJniaRpU2Xl3jhVg1r+5wq9CzX/DSTh67sZTmdh2PqgaPvPIJxXkZ/HhSCZlOaxIe9eHV1Gul0bW5a1xxWtMTXzBqMp9YXu1FUVWe3XQoqdoYj0l/WNfUPVdMAl1r6D8xDErX8KJuKDFu8W/mjCI/y6Hr88cKaVFV5fFpZbQFIrT6I2S5bNz74g5RsTXWtvws/ZrpCCtoqkZOhh2nTaY9GMFtk2N+FLqk293Pbycv08GPvjmEVn+EA83tXJTtZO74YvKyHATDCteXFhAIK8ixgXKbbEmSjlw0tZQct67bXru5gapRRdhkC2FFoaxPd9wOGVcanr1xDfjDCuu2H0lpyPLAy7vE8LnR3V63/QgF2f2wyRZsFgtOu0wwrIAEFiTRfe+ImawAXAgNlHORsfsEuEz7rC+4QOPvlbFJpe/4mzmjuORBXWZmwz1X4bBaUkof/WbOKOa/UMe9X9flwvwhhdOBMBdlO9E0KH7wVQDqF06kxR8WE+uGfey8BOmt2s0NJjcjQ14p02nDH9YB9s7eJq66pCf+sNn1Z1m1l62HWkwT7ZIEJ32ppcKWTvfisFnIcumUi/kv1CU5cS2r8vLKruPU/OFj8Tpjijz+Z2OS/FzklFRNE//HRiRK+Zyn+MIvz7Nh9WyYrPvB11JKbhnqKYCQPZo0rLdIQoybavGDrwpseexWWvzhlG3FZdVePHYr/5lCVsvApS8Y5dlNB6keVYSqgWwBl82KBHpyvsas0pCTYacjttDPWbU1yV3QOP5nwmcM83f+ZrvptZ8XRsX30YVV8XM8NlffNopBD73KH+demXaNXDmrnKiqkeWyCYmtBRMGke2yC5lCRdX4/u8/ErJabptsWi8Fdtx2AlElpcyWocyyr7FTIi4YVjh4wsfFuR6cNot+zAQ85nrsNLWFePS1v6aVHn1k8lCWvL6XpVVe5r9Qx/0Vl5o01tOt3Y9MHkooqqbE9yOTh5LhsP5DEnRfIC4T44LD6ecd/nCUlo4wHodVrL07f/h1OmK64p8cP035xTnkehys/n+HqBrRh4iq4XZYBe4Nu/uayiF0c9uIKCq7jujc6XisL6/2kumwomq69KbxHVeW9eLH3xxCKKpytNXPwJ6ZqBriPr++7qgo/v1mziiee/+QULxpC0T4fd1RZnylr9D9N+4ZT793kOqRRbjsusLY2g8Pm4p9G3YfZ+qIPtitEt3cdo6eCibpRPfu7mTA9141SZlu2H2cKeV9eGnrYW4Z2w+LJHHCF9Il99D/b6IRhaCiYrVYcNgsKFGVsKrhOX860J8Jq+dC4dgNXPT3ncuXP3TLzO2mtl28c1ZxT09aTl88oX7+C3Wc8IUo6ObCF1KIKCp/+e449v/kOvwRXbfReA/DPjaxVVhRUpD0HplOG4Me0sn67aEoY4t7oGpaygGxkt7dxPT37c9txReMYpOlpLbnsmo9OTGm4RtPB2lsC/HmXxt5csZwMdjw6u7O5Nk4n0S+4sB8DytnjzjnG0HXQEz6OBsm0/GbM2KLdcNJfVhl/KX5rNp0iH2NvtgmTO90/OW741h92yisFgvBqGJqKyZiSk0j+2Xg8o7V+nT3ms0NeBxWNI2Y/njqoZLjp4Pc8dxW2oNRXeA/LyNpGHF5Aj4bTvppbAux+E97eOzGUvY+rCt2eOxWNnzUmHRunxdGxffRhVUR8dg0BuPOtEa6YwnHvkafqOB5HDZcdpl9jT5+/d5BQlGVn04vo6ZyCG67TCCaWuEjENWVB9Lh8ZIH9ZbyfRWDOB3QlQEuLchCQyMYUVMOMB5uCeCyyzw+TZddTForq7wUdnfx0PWDaTjpp3+PDEBj5SydRrFkWhm5GfaUQ9V9ctxnNLL6R/Wbu3D5zwunVSbTYTWtvW6bTH62kz45bjZ81IjTZiEUUbhmcD4RVcMXoyMYg4MZdt2VcMPu42TEnDFHD+iRhPW5a+oIKxphRTWt++t3HBPSkW67jaiq8czGg2Q4rPTJcVNRUiA6zsGwItQ/DEWtawbn8+npgPhMxj2joqSAubV1nA5EyHbbkhwLq0YWke2y4bTp5lO9u7uoqRxiUvTwhxU23HMV+VkO3A6ZgfkeZo3py+sff8ryN+vxOK24HTJL39gbo3ToVeeQquluhjYL/rCCCudTA/ozxznpQAMfS5K0BRATN5qmVaZ7gSRJvwb+A2jSNK0k9lgO8ALQFzgETNM07ZQkSRKwDLgO8AO3aJq2Lfaa2cBDscMu1DTt2djj5cAzgAt4BZh3virkqaSBlr6xV2iC1jf5cFgtKdt2UVUTLcxU1dvdR1vxhxWKe3qYPaYfWS4bNX/4OO2imsrutb7JJy6sF7bobZfcjNSuWb27u0w/98xyMuB7r1BZ1svkKOi2ycyJq+I88upf+Z+bh9MRjpr0fhdNLWXr31pNnOr6Jp/p/OIHss7p/90ms2LGcCE+f7jFT3e3LYmf+u8YZ8OkYR+fiMe2QISoqvH2nibRMk9VVY7HZUcoyoSS/LSYdDvklO8Vj8sFL+1kaZWXiKIKl7fVt41Ki1EDm6P/W6+EzL92oKieN5z040rA55LX9/L4tDJ+++FhNA2T/viiqaWoGucFo+L76MKqiHhsGnJch1v8QPoh6PcPnOT9/Sd4csZwwlGVO1Z3Uo8enVIqdHKLe3rwhXSN/XQbRINHfSY83r92JytmlvNsHP7T4dFoTQ/43iu6gc7sEayYWa7rlMe00StKCqhZ/xEVQ/KTO4dV3rTn1NQWpC3N7/whBY/zH0sUjKHCNZv/ZtJ2d1nPdQSqK84WFotEptNmGur2hXWXYItF4qH/GIwvpCChiKHSFz9o4LYr+4vBQYMm960r+glOdbpiiIGNmvUfsbzKi9VqwWqRRIJc3NODJOn+FLde0Z8TvpAQPPhZtRdfOGrqtjw6pZSXtx7hhuGF4n0MHBpzMK9/3MiNMV53PC1oXq3uLIumccofwZ1jxWG18P3rBwPwyq7jZDisgobV2hFm5E/+LN63LRARVI2KIflxnOcoTptMIKIQDXe6a0Y/h2vjH41zuYJqgEnodt6Px/05UzwDTEh47H8Df9Y0bSDw59jPABOBgbE/3waeBJFw/xAYhT7E+ENJkrrHXvNk7LnG6xLf63OLVLv4xjbdSeiRyUMZkJdBdmy4MHGQyuDM3V8xKLl6V1vHmAF5nVq2qzv1lo3KTXwYPLpECaQn3uqsbFSUFDAvltSnrDzEke/jE4n1O45x7ZJ30DRdL9edwItev+MYYUVNGua6f+3OJImwDbuPi5/jJ8B9oeg5D6+EE3UjFfWcXv+vGukw6bZbeWTyUDx2a9LA6bIqL+u2HwVg9IAeeJxWbhhemLKqHI/L25/bysSSAmHjHh+X983RVQpSSHPF4/KDQy3kZTpojdNRPxNGE5Pc5W/WC6nIqxe/nRKfj732V751Rb+kz3M2jC6r8uKULTo+/06cQhdWjYjH5vodx1j8pz247DLdU6yRy6u9LH1jL6BjMhBOriwveGknFSUFnR2NWOcs3WB2IKIkvU8qPBpKBQZe0uHxcItfYPGDQy047TKZMU7r7c9tZckb+8TmMlW1cF5tHRZLcpdv0dRSXHaZA83tSdfPoqmlKKoqcKiq2t+FT4tFIsdto2pUkel6bvFHugYJz0NYLJIY6h7dP5dMpw27VRcAiEQ17n1xBz2znKLwUFFSwOlAhNotDcwe05f8LAcWi4SiaiIRT+fz4AtGaQtE6N8jA0fMAvzbq7aKTk59k4/2oD6/IkngccpiGPCKgXlJ3ZYFL+3khuGF9OrmMuHQIiGEEEYP6JG09kKn8VV7CmnJ7//HYHG+xnosyxbT+94yth9Wi4RFkrjqkp647brL85xVWwlEdCfDDIdVaJ1fCBzoc5Gxe0eSpIuBgZqmvSFJkhs4Y2lF07R3JUnqm/DwN4GrY/9+FngbWBB7fFWsgvz/JEnqJklSQey5r2ua1gIgSdLrwARJkt4GsjRNez/2+Cr0BP/Vz/qZziVSSQMtnlqGompkOGRm/moL+VkOHrhucJL00U9uGMrc8cVpNZw9TqtpJ/fClgZ+9M0hZDltSUMsy6q8bG9ooaZyCAPz9UrMM+8dNGnYGgu5UflJrHi77BZ2/ODrZDhkOsIKv9t2RLw2PmlJrGDWfOMy8jJTV7WLct3sWTiR+iYfr+w6TqW3N3dfM5Dm9hAhRWVeXMX6XDim/pj5jHkApo6Vs0aARJKE079TpMLk8movHxw6yWUF2cz89RYmlOQL3qcvGGVjfbOg2xT39HDSF/pMuMzLdOCPuVWlwuQru46zraHT6c8f1i3s43GpJ8Zm+bKUGK3WHRSfmlnOywnY9IcU8dpUFfaKIflpB2INGbt9jT62/q2F2WP6cdf4gdQ36T+X980xVWPOlQt9Vqz+G2E0EZvN7SEkYNP+E5QWdhNrpD6DIQkZQfPQcmcYakT74irI+5vbTYOCG3Yfp2pkES6r7p5674t1Ao/GEGkiHo+1BkxdlXR49NitOGwyG+65ig27j9Nw0s+1S95hz8KJ4rXxVJWUlXG7lVBUEZXro6cCPPbaHprbQ8Kp8KlZ5WTY9c9j/O7zsOcORNWuAdd/UqiqRiQ28PfUzHICYQWH1YrbLotimoEVX0yjGeDmrxQRiqqmzsXq20ayeGoZskRKB7/9ze307+HhlrH9UDVNp9kNyadPd5fg3P/nlf2ZPbYfDqsFfwhUi0Z535y066Q+p6Wrgx1u8eOIUSd++aZ+bRTG5rjSDWunk29cXuUVClxGsr3hnqt44q16Xtl1HI/TSjiixCguKv6wgixJoqtkFP5cMa3zC8EY6FxUOOagV3tz0NU4egMrgGvO8T3zNU07DqBp2nFJknrGHu8NHI573pHYY2d6/EiKx1Od+7dj505RUdE5nq4eibqbbYEIqzYdor65g/+ePFQkKW2BCC0dQVTNQa9uLu4aV0w4qjB7bL+0CgHxVbbKsl5MGlZookjEq1jUbmnghuGFfPe3O0UiM6W8D+8faBHPN3aKxs0i/iYC+g44fvr1pq8Ucc3gfAqynfgjis4Zvef/s/fl8VGVZ9vXWWbOrElICJEQIgkBRCAZEgoKuIAooG1EEEhaFmvdschLsXwufctXaXlVpEDrK2prFVFAKlLezwWlLlWwKIGwVSFhMSRgEhKSzHpmzvL98ZznyTmzRGi1grz378cvZDLLmZnrPOd+7vu6r+tKVNedxooKH+5bV42cNAmThvZCRzjGEmUqP0YTm8GLtrD3Ib7+GQ4unoi2UMwyHHOmC7dZXWJR+SD2WkAnZaAri/DzNc4Gq/GYDMoKQlEVT39wFHdeWYCnZ5YxDU36b/zgnnh/QTqWbz1EFkeR/0pcJrOljcfkrJF9MPPyPqhtCqCpI4INO48n4PLxqcWIaTr8HZ0KBfQ7pdShhtNhrNtRxzRxbx7WGxwHXNW/B3pnOhGMqji0eCJqmgIWfNKh28v7dk+J0ZpGIus0fvnfIPIcDi6eyAZltsy78l9KMDRNB3RgzW0jLK/76TFiWz7jDzu+Mxil0RVW47Hpjyg40uzHyL7Z8DpF5iTmthP1kqdmlOLuNbtQ2xRATpqUXMFCVlgFubwkF7kZLovCzPIKH6q+aMXoftkIRVXMG9cfvTNd8EfIWp0Mj06bYGm3x+Ox2S9j3Y46TC7Lw9ItxHHwqRml0HWg+j+vY1J8S978HE++V4ulU0uYEUb8gJU/ouDlvxMt3IbTYVzx2HsAyECf12HDjD/swLOzhjFM0r/9K/bcX7mOngNJyDcdX8f1/0wj2WD3qhml8DptaDgdRjeXHd/rk8k2am6J2HifDkWR5bFbBl8JjUFFkz+Mbq40hKJKgj19v5w0OESerSkTBudgSmkeArLC6CBOuwBdB8PhlLI8pmKTik7VzW0HAMiKhs3VDbh1dCGOnApCEnmAA3To+O8ZpbjHlKc8Ma0ktQumJCCqqDjZHmGv02EoPa2o8GHi4By0BGRIogBN16DpgFMUEFFU/K7Sh6CswMZzkBUNh5vD6JfjQSSqwnUGal7fZJzNq88BMApABwDoul4DoEeXjzi7SHZV0f+J2xNv1PVndF0fpuv6sOzs7H/6AM3SQFTXsCjbjdOhGBtkWr39GBw20eLUR3hRIpZvPZTEmpO0kmmYzVRopWXeumocbg5i/PK/YeW7tejVzUmUERyiMZSiY8nkIcxa9rVd9ax9+ca+k1i0+QAaTofx/DYyiLN40hBkeyUsfHUvfnRZPmyCgNx0B+GA2kXUGCdaUY4XHknEM7PK8JubhiAgE+4zfV8LrhuA+eP6YWWlD8Go1VaTJmApObNJFm7aolQ1DaeCMm5/YScb+PnFDQPZsOXW+Veh2S/HDVRYrZfP1zhbrJq1YN2SiCVvfIaVFT4U5XiZHvGfPjqKcFTF/Ff2oP9DpK320A0DcVGahJx0x1fi8kwwmWa01hdtPoCcdEdSXD721kHcs2YXvA6bhVrS7JchChz8hkh/bXOQtez3HD+Nm4bmIT/ThXBUQzCiQAeRYBqUm46GthCemUWcum67orBLjFKnNyBx43qmOE3WRqcXzdtX77S87qIfXIqt868Cx5FN7NodX3wnMErjq7BqXi837a5HrwwX7lpThfnrq9EaiuKO1VXob9AJooqGP84ehqIebngdYlI6kNsusORvzpgiZuxjxmRhthduSWRqHwMefhNehy0lHu99eTcUVUvAo8suoD0cg13kUdscxP0b9uLuq4swflAOeI5DusuGYFRBw+kweqQ5sHjSYPzyBwOxt/40ctKkpANW2w83Y/xgohH9+JaD7HOiWKSJhjkoN78re+5U1A6GS9M6Sp1ty0tymVb/P0tXOl/i67r+n0kkG+x+YfsxomVsFwAOeHwqkU5c9s5BhKMath9uRpbHDrckIidNwpZ5V6J28URMLs3Dttpm9M0mKhrx2uM/e2UPoAMv7fgCfoPKMaU0D5oO3LeuGsu21uDJ92qZNf2W/Scxe2QfeB023LVmFzbuqk+gFFH3Yq9DhD9CpPBuHtYbPAc8/P2BCMdU6DpR8+AAPPnDoWxY+7G3PkcwhTNrY3sEdlFAmkPE/HH9GJWQ0ptGFWXDaSMa6ZpO9LQ7ZAWnAlGM7kf+FtN0cBywZf9JBA28f9txNr0bWdf1KGfI3nAcJyJFwvoV0chxXE+j+twTQJNxez2A3qb75QE4Ydx+ddzt7xu35yW5/zce1Lns3c8bccuoAtxpcuYzK2cApFJw95pdWDWzjPCURB4v3T7CaEfoEHkOFSPyWWXkqwYH6c4tHFXBc8T97aJ0JwY83ClTVF6Six+U9GQDV/6wgtd212PZ1hp8fKQVSyYPwYLrBuDIKT9UHXgpyRAZHSaoHJEPuyiAQ6Lr18JXiesXx3GIxAgv2/z4Tbvr0XNUQfLhmLiBLfPOPV6yLNsrQVY1i37q0qklKC/JxeY9J5jz3oXu/kZxGVHIZ9UVJueurTYksgTMG9cfed2cRjucVAsdIs9weUaYjMQSlEDicQkAk3xEQJ+2Nz0OER3hGDbtbsCWA40Mm+8dbETvbk5kum2488Uq5KRJCU6Ej08tRv+cNKjGQqrqekqMhqIqqyJShZl1O+og8hxrPX4VTpNVl1ZW+uCwCQnVwU276xMGyZZX+OC08RccRkNRFVf178EwuGXelQnf033rqvH0zDJ8cOBLjO6XjbxuTqyaWQYbz8FhF9DYHkFE0dga0xUm61pC7HnNJlap8GgXBaTZeCa5SCk9VF/6kUmD8cu/7EffbDe6xeHRvCatqPThqv49oGh60gErcyew2S8z7D06pRhL3z5omW8xd9bM9tzJhgzDRtJmxqRbEqFpSMDlwlf3YunUYuiA1dWz0ocslx2C8L+Dhf9KmDc65SW5WDhhADySiIiiItMt4cWPj6Hc14vp5UdiKkYVdTe0mTksGD8AG6vqMXtkATwOkW0IOS45rcklCbjR1wvba5txRb9sABw8DnIMi35wKSYO6YnV24+hcng+br2iAJpGnP1oN2La93qzdTgQUbDri1Y0dsioaQyw6rDDRkxaqDW9ef3t5rKz+abC7m5s3FWfMEid5hTxq//5B5ZN96GuhWi9b9xVz6iElC5IfCoAt0Q6VHaBQ16GE7zAIRJVSRKtavjhZfkQOLIufNtxNgn0BxzHPQjAyXHctQDuAfA//8RrbgYwG8B/GT//Yrr9Xo7j1oEMDLYbSfYWAL8xDQ5eB+ABXddbOY7zcxx3GYAdAGYB+N0/cTxnHS6bgGeNi3I8jyg1/01AxYj8BH1Rh43Hm/tOspahP5x6epzuEL0OESLPw2nnsaLSh+OtnS34RT+4FDcO7YWgrODel6stCeeuujbwHNDdI8FlF9DNbcOfPjpqGaIBrPbHWR4JP3p2R8rpdLckYs/x0yjo7mEWuUFZgcsu4NYrCuEU+SQ83U5HLXOLMSgrSa3Q54wpSrjgLthAROcBJNALvmut8jMNyjvNinPjS4XJ3plOtAajlkVxeYUPu75oRUnvbnjnH19iyWTirNkVJpdOLYHXIaLq4Wsg8gI8DiEBl/RiYhd5Zlscv2GrPt6G3pkuvH3gJG4amgeHXUCTX0a2V8LdVydigHLr7lxN2vhmPqr5fZJkQoeianhiGmkHumwEn/de0w+hqNolTpNh1CwlRW15zZFs0zLPSKL+Fa3p8zFcNgH5WZ28967WyLKLM3HHaqvxz4aq43hrfyOWTS/B8gofsr1Syg1PUCaSnBelO/D8LcNQenEm3FLXeDSbujw6pRgfHz6FsZfkWGh0T0wrIfzUtdXI9kpYVD4IXofNQou4z9iUmt+r+f3R5NkhcGytrGsJYdk7B5mZi9sunLE998pKH3iObEbNxzH3K44j3WnH7at3WhP8tWQD45G4CwKT31QEZTKwN6UsD3aRR1BWEYqq2LDzOG4dXYi39jei6os2zBlTBF3TIXKACg7rPqnDraMLcP8Gct31OAgPnvL+0xxiUrw3G+vjsIszEVFUdHPZmSTeTUPzcNcaUtxLc9pwfXHPuBkPH3Qd1nmWSh9WzSjFL/5ygG38nplVBp7jUq6//R9+k52rDW0hyKo10V5R6cP4QTloOB1G70wXOA649tIcRvnbsv8kQrKKnHQHdJ0MTnIAUSvhOKiKDh5A2Oje6Ybu9dehUPOvxtlsN/8PgGYA+wDcCSIb93BXD+A4bi2AjwEM4DiunuO4n4AkztdyHFcD4FrjdxjPdwRALYBnQRJ0GMODjwD41Pj3KzpQCOBuAH8wHnMY39AAYXzoug4dwLpP6uCPxCwti/gp7vKSXHz48zEp9UV1cBg3MAdXL30fP3p2BwJyLEHvdnmFD32z3Vg1owwHTrQhIKtGu/gtrNtRh+5eokv61I+G4qbSPLSbVA7oay3YsAf3jx+ABeMHEEtXQzN6+vB89O3uTjm0Q+WlUk2nkyE0Fz4+fAo6AJ4jfD6B5+GRRAgCb7GVNevsxrcYH9i4DwuuG5Cg9NBVtSkZveC7Quc426DT9sGo0iUmAWKZTHiViW3wkX2z8eedx3FZYXdcvfR9PPfRkaRqHn2z3VgyeQgkG4eOiAJVA+5aU8VwmW3C5UM3DERMJbrkybSkF766F/PG9ceX7WGUGu6JZrpJKoy6JIE9TyqMBmVC+7go3YFwjFSURZG32CCnwimApBilVrSfHmtlAzXm6AqzFxpGeZ5DSO7EZErllVhyXedJvjwiAbp+D9pCMfzo2R3ggIR1ckWFD6/trseCDXvREojCl9/NoNJZ18n54/ph4YRLGB7jcThpaK8EfP7slT3QdSAnTcLCCZdYaEILJ1yC8pJcY1Pqsmjymt9fUFag6jpEG9G3DURikBWyqXtmVhmy3BIEwYrLVPbcz84aBhcb75AAACAASURBVLvA4ycvWGlDZ3IcqWzG3ZJ4wWDymwobz6FieD54jsPctdXI6+ZETroDU8ryGH2jKNuN7h4bWkNRhBUNbokoIVFlC7MLcSCqMLWgeLw/Ma0EAg8yTxBV8fLf6xCKqghGFcweVWBxzLy8b/eE/GPu2mo0+2VMKevNtJrvW1sNjuMsPHm3JHZpTU8pUes+qUNRD29inrO2GqP7ZeNUIIKmjggCsgLJxpMhX4PeJPJAIKIYxQwBLknEf6yvhq7rkHgOLkOBwy2JZIhQVs4JFY4zTqB1Xdd0XX9W1/Wpuq7fbPy/SwqHruuVuq731HXdput6nq7rf9R1vUXX9Wt0Xe9n/Gw17qvruj5H1/W+uq4P0XV9p+l5ntN1vcj49yfT7Tt1XR9sPObef4dLoqbpaAlF4TS83ldvP2bh623Zf5IlG5N8ufg/Ey/B/Ff2pLS+9Egi0p12lJfkYunUYqQ7bfDYRTw1o5QB89evf4aih4jE3aiibGyvbWYAXba1Bre/sBN2gceoomy47QK6eySsuW0Etsy70nKh79XNmZBYz1tXjWCM7FjNQYd2PjhEGDZ0QCbeaOX1vSdx39pO7mGyMPN0zReFZHyxha/uBc/B8lq0chR/fKGogn45Z86x/q4H40JqukXCy4xJkecwf1w/VIzIhyuF2YTHIbIBqPKSXIwf3BOZLjvjGi+ZPASLDUxevfR9/PTlath4DqGoyqqzy7bW4LYXdsIjibiyfw+EDQUPaoqSSiXDLvJJua2pMOqPKAzjyTD62+nEAlrTdISjmgV/8ZEMp6kwOmdMETsGnkPCBiMoJ5edMkuhXSgY1TQdqgmTT71fmyAxt8KgHaTC45wxRSy5WFQ+CE67ALddxLJpJRZM/nLzP1jiDZChztfnXoHa5iBuf2EnRIHHj0cX4KJ0B7p7JOSkSQmvl0pz1yUJ+M/vX4oFG/YkLU5QCsaxlkDS5F7kOdxjzMrcsboKkZiGJ9+rxYCH3zwj63gzPsEBdxlOd/G4JOdFDB8cakrKcaU24+ag2LxQMPlNhaIBDW0h5KQTmbqArKCuJYR0px3PfXgEXknErJF9YBMF3LeuGmlOQhmiyhf0ezjS7EfZxZlwG3nGzi9a4bQJeOn2Eaj+z+uwdGox/uvNz/HTl6uh6jryujkxaWge3HYyB+M1Ktj0e07dhXQx/NLbPA6Rral0jQ2lWM/8ETL7JIk8Kofnp+TquyUR/XPS4HWIcIkCAhEVd19dxM7VmKFm5pZEBKLk9YjZioiYRjYJ0RgZPHZJIsRzIXvG2alw7EMi57kdwE4Qc5OWxEd99yIUU3Hf2mo8NaO0Uzu0Ocj4bf5IDB8fPoVVM8og8BxrlVEwJ2uD98vx4Bc3DISsarh9dRXW3DYCkk1I4OvRhHtQbgbj/9LbBZ6Hw8ajJRjFvHVWYXQAaPbLCESUpBcMjyRi9sgCy4T6o1OK8fy2oyj39QJAuEp2gWPcreOtIfBGK2bx65+x9qT3LKw1U51sF6U7cSogs9f6sj2MpVNL8GrVcYsRQJfcwH/RFON8jFBMxelQDA9s3MfazEU9PDjeGoLHIbLPMxRVcIdhj50Kk0U9PDjRFsaC6wZg0+56TB+ej+4eCboOjFv2QQIunXYRD2ysYnijChS6joTp8eUVPswdW2SxNKbT325JSI3RUYkYfWHbUcwZU8TOBclmxajAgSkfxA9onUmkwmhRDw9LSNrDMWzYeZx93rVNAWyrbWY8a4rZQITMItD3e6FgNBRTcdeaXRZMngrIjHtZ1xJCpsuekpZB8UgT1EWbD2Dp1GL0zHCi5P++jYOLJybFJNWMplh572AjFFXDPWs618dkBjtdqROkwmevbk6Cx+1HMXtUAV7YdpS910BEwabqesy4rE9SXnSzXz5rLHSFy0enFGP19mOYXJYHrzEE7jKk8Za+TYYXH59ajPs37EVOmoR54/ojP8tFeOYxFS77dx+T31Q4bDz656Qx3eY0hw1/qW7AzMv7YOW7tcZMEekyTBicg4BMKsy9uxWC4zj8droPr3xah9kjC5id95FmP0rjqE10naXJaUc4hoWv7sVjNxejsUNGw2likU0lGWlXNx7TJ9rCDL/0tpCsYs6YIjT7ZSKb+0Urhl7cLamM3gsm+sfjU4shxzTsfHgcNu1uYBxn+pwAEFU0qBoYlWPLvCvx1Pu1TN9Z13WkOW2IxoiKTkhW4ZIERKIqYpoOpyiw5zoXcuizOVPeBKACeNn4vcL42QFimPKDr++wzs0wS1WZSf2b95zA5j0nmDTW3S/txuWFWRZu5JPv1Vokt8yDdhelFyAYVfHAxn0s2U7laljTRMj9T80oxW+n+9huFQAiMZVV74BOLvOSyUPAcxye33YU88b1x6ZqqxYqTeLNQzRL3z6IN/adxL3X9MPlhVmYM6YIc03PDYD52dP2pFs6uyG+UFRNKvcUNiqZ/R/q3EAs+sGlmD4837I5WFk5FJkuW5cc6wslKDYp71HRdJYUUFxevfR9AMCRJdfj02NEJ3x5hS9hw7Vpdz0uGlUAngMW/Jlw8ih/NxUua5sCDG/PzhqGOWOKsGX/SYtVN9DJBX521jCU+3ph+dZDTFJx6duEC7pk8pCUGH3s5mLkZjgtGJ0zth+prF/bHz99ORGji8oHMc1ht/2rK33miN+glZfkYv61/cEZuqybdndeHM0bApHn8PkjExLmHqjjVuWIiy8YjNJkLx6Th349ET96dgeyvRJ+c9NguOxCSjxKvl5YXuHDC9uP4uMjLUh32hlFoavihLk6S6Xy4nmcq2YSlSGXISkmCVyCvvSkoXld4jMkqxY8Lttaw/BweWEWlkweYlF9ATrt45+eWXbWroBmXNIhalpYePfzRjYw/uysYaT695C1GMNzwB9nD0MwqmBuHC/WIV44A65fd4RjKjhw2F7bjOUVPnREYriqfw80tkcwd2wR3HYRMU1HyLDQPtzkR8XwfCiajsPNfhR096Dc1wteJ+nGfHz4FG4qzcNdJqEC84xSs1+GP6Kwrglv0EQ2VtUzKdClxrDf737oQyCisgTY4xAgxzSGX2qaEo4pLB/4+PApjCzKhsABYUVNKIRMKctjWvobq+px6+hC3L1mF1ZU+DBjxMWobwvD4yDrHC1guCQBbcEoeKM7umD8AESiKqDrEDgOLQEZdpHMTVC5Sw5EZSooK2yA8N9AOPjKOJuzdpSu6w/our7P+PcQgKt1XX8UxJb7Ox3xUlV1LUTrc8u8K3H4N9djy7wrMXdskaVFS9se5SW5uH/8AHT3SnhmVhk+f2QCFpUPIpP6I/LhkYQEcwm3XUjqavjke7WW6sqW/SdRdnEmnvvoSEp3oPwsF5a+fRAr361FfpYroaVHZWHaQjHLY7/Xh8jPPHZzcWqqhETaSjzH4cv2CJ778AhagtEzkkVyinxSuadXdx1nTko0Lu/bPaG1P3ftboQVLSXH+kIJMzbp51ZeksuwuXX+VfiyPQyAJIABw5lqzpgiZHskPJ0Ek3aBQ88MJ6tq0YS7K1wCtBotsO8yFXfOaRcYv3npVJI806p1KowGIgrUOFzRzduhX09MOTTVz0gsaJUjdBayXXR4i1Kyfj5hAB7YuA/9H3oTd6/ZhbGX5ODL9uTujGGjWxXfZv/x6IILBqOapic4Bpol1B67uRiP3DgIHRHD7piDpU29aTdRAsr2Sshy2w05OnIRpvKLtNL2Va6DqagZXodI5kIeehPPbzuK9ohikSGdPjwf737emBKfj08tBqDjt9N9lnPN/Br5WS5s2X8y4bw82UbkRYNR9awcBiku54/rRyQTTQ6DYy/JYVxol9TZpTNHY4cMVU/kgM9dW/2/POh/IdySCKedx6DcDKz/pA5eh4j8LBfe/seXqBieD00HPMZQs9suIMvtQEMb6RC67DbcvWYXrl76PmoaA5g7tghjL8mBN8V1vaiHBysqfICuoyUgM6WZv37WiFkj+yA3w4E7riwkso42HnJMtzoExnTkpDmY0+BTM0qR4bRh57FWBCLEN2DLgUZ4HSJUHch0kw4S5UvPW1cNnuPYeTJpaB6cdp51VwJG51HTAIfIo+F0GC5JQF1LCDaRx+rtxzBpaB42VtVD1XW4JBEOuwCnTYDHGNjmOUDgODjtPFvDATKsGY5++y6vZ1OB9nAcN0LX9R0AwHHccAAe429K6od9N8LMhQSA9w82JchUraz0QeR5lJfkEuctjsNTM0oRiqr42St7LJPlRT3c6DmqAIAOf4Qkr7SiQKs0D92Q6Gq4ec8JXF6YxaordNp/UfmglIYYNY0B9rjWYBSrZpbBY1RXNu2ux7Tv5UPV9ASJGq8kYlN1Ay4r7J7SeYg6ctHHVA7Px9odX+DWKwq/siUZNlyX4tuaSyYPwbJ3DlkcwbrU6f32N6Lfapix+fHhU3h21jCEY9bK0ooKH2p/PREBWQHHIQG7dCiw3NcLdoGHrGgMk7TCR3G5cMIAhsvG9giWvPm5pQVOq9F0grurivXctQS75scHZQV/mD0MDpvAMHrzsN6IqYkySk6bAH8kRuQaI4nOhJTLbzbcoNj2OmxnxDulGzToSFAvoG1T2hI3d0FScXrdknjBYDYUU7GtthmrZhC6xpftYXAcZ1kPV1b64LQLCMgq/mO9dT2dPjwfv379MzR2yFhR2Un9aTgdRmOHjKVvH8ScMUXIzXBYHDeTuQ6moojQQWmga/UU8/OYjbNEnsNzH3W2sp+YVmKh2NHHzB7ZB37Dqc38HmeO7GPB55kotFBc/nh0gcV8I746SZU8knXpUuHzf3nQ/3wQfWIweuf4wT2R5hCZjONLt49ATSPppvnDCjbtrseUst6oawmhqIcHOWkSti0cg24uO5PIXTUj+Roaiiqo+qIVTX4ZN/p64fGpxWgPRXHNwBwmXWe3CWgLxSDwHOPuA51KVs/MIq6YD762D40dMp6YVoLL+3bHttpmDOyZjp9PuAThqIq7XrQq45TmZ2Dx658hJ91hKQ6smlEGoHPDSq8DT88qw2u76vHj0QVYvvUQlk0n1etXq+oxfnBPi9Mgz5HZEw5AIKoi003oXXaeQ1BWIPEcJJuAmHJ+JdC3AXiO4ziaNPsB/ITjODeAJV/7kZ1jEc85u7xvd8tCS6SVVORnSVg8aTAEnoPTLkCJ6EwAHbAmiQDQ3WNHTFWR4bLhiWkl7MLS7JfBc0BM09AR1qBqpMIx/9r+6OayISCT4SmaWBb18GDN348l5Sn9pbqBVUoEjgN0HcdbyQkr+XrB6xBx2wvWxOD+DcTp8JqBOdhYVY+bSvPw0u0j0OyXEVU05GY4EY6pCEYU5vq2saoe5b5exCwgiQEFlQKji3oqHh91AFv2zkEmx5RSpzepDuqFIxEGdGKzvCQXNwzpCUXTWGWJtnezPBJzZLtlVEFKndrxy//GWs49vBL+e0YpooqGlZU+zF1bjTf2nWTWw0FZR066A/Ov7Q+eI1Wt5RU+vLmPGLB8eowMviTD5KbdDew+RT08Fk3cP310FDcP6422UBRFPTzoOaoAIs/hJykweu/Lu5k6QjxGIzEVoahicQi8fwOhNVHFAxrxGHWKPMKKxrCcqpqem+FEIBJjmwqK71T8fMKlFS8IjDptPIZdnInToSg8DjJFf7fBh3597hWMo9/dI+Ce9Yla5YvKBzG6BJVaK/f1Qs80B1ZU+sg8yvu1jMfb3CEjy23HpKF5Fr787384FKqmJ7Sxu7ls+OXmA+x4u1JPocoHqqYnSNzVNgctih3LppUwWkUkRridXqcNEUWz0JDW7qhDua9X3PtOdBhUVQ2hmMra2C6bAEHgUybBRT08jMoW7wr5VfgMRJQuh23/N1KH0/i8zd3kR24c1DlUGCGc554ZBfA6ifrGq1XHMaUsD5GYioe/PxCRmIY/fHgE917TDzlpEtxS8jW02R9BYbYXV/Trgec+OoIfXZYPUeBx/8vESyEYVZHpkeDpQkfabRfREpRx//gBePStg/jZK3uwZPIQFGZ70TvThRl/2IEnf1SacK14emYZOsIxhGQVh39zPWqbAnjq/Vp4DVm57/UhfhX0dTySiIoR+TgdlNHYIaMjHAPPcZg0NA+9MhwIySpEHtB0oufvtosIRRVkuu2IGHLBACDqhP4ixL795Bk4OxWOT3VdHwLAB2CoruvFxm1BXddf4Thu9jd3mN9+xLfBzAsttTqmrd07X6wiO1GNcHqSDZ30znShd6YLLklEhksCz5FEyKy+8cj/+wy//MsBhAx+NG29BGQVr1bV4xc3DGQmAbVNAUwY3DPhvqGoiqllvTud4F7ahdOhGK5e+j76PvgGrl76Phy2FAohDpFxqX7+572Yv74aMcPQ5GevVKMtFMW89dWWFk5eNyeKengQina2AePl6m5/YSdagnJCaxegSbGCZ2aVYdl0H7I8dugaOaFoK73TLW8oeB4JKgkXkkQY0InNhRMGQFY1eB02llCb27t3r9mF6cPz4ZaIrS+dtAasxigUn5KNR1TRMG9dNaKKxlzclk4tRlBWiZOcSWpu6dRirP+kjrWQv9cnE1FFS4rJay/NAdBZSaGYX/r2QSzbWoOfvbIHAVlF3wffwJ0vVsHRxXR3tlfC/GsHYP4rexIwejoUxdy11Rapr5w0iZx7pk1ecoxG8dyHR9jvKfEaJQmHx2FV8DDTP8zUgmXvHLpgMCrHNKYLS10Bc9IkCy4f2LgPoZiKF38yPEE5iGKS/u5xiHhg4z4cPhXEuh11WDq1GA/dMJCtvfPWV6M1HMWBE21YVD4IBxdPxGM3F8MmkJZxQhtb1VDY3c1eI5XEXjiqYlH5IOi6znjU5oSZqrLQ48xJd2DR5gMMg7evrrJgM37NNEd8FVhVNbQEo+x8u2N1FVqCUZJUJ6FnUEy6TUOzyRRmXDYhQS2EDo9fCNj8JiKqaOyaTCMUUxltzi0JuGVUH4gch5CsIjfDgUlD87Bgw16omo5ARGXX3LqWEBZOuMQoAiSuoT28Tjz5Xi0cNh6ThubBH+n0pSjq4UHvTBdqmwJo6oiwoUZz0JmquWurEVN1LJxwCVsb+xmCCJ8ea0WGy5ZwrfA4yFB3MKp0rq3jByAcUy1Og/R1AhEFHruINKcdz84qw1+qG5CT7sCBE20IxQh1izKX3JIIv6G2UdcSgqqTLn0kqjJXTlXXcYYsvG80ztp2SNf1dl3X25L86b6v4XjO2YhfbMJRBVvnX4XDv7kev7pxUIJu6H2G1fHtq3diwfgBFgAS+ZcYOA7wRxR82R4Gz3G427A5HvDwmxi//G/YvOcE7h8/IMHCc8GGPZg9sgBZXgkhWcGqGaXYsv8k3HYxqd2npoM9H02OADA+HscBW+dflXCMQVmxaPaazSzM/ze3cAIy4U6Zh2KSSYHNXVuNcExN4C6uqPQBgOVi0Wpws5NxnVMl/xdSG5JiM91px/0b9uLL9jC2zr8Kv7lpSFIL7tqmoEU3FuicyN4y70ocXDwR/kgM4ZjGeOcXpTsxbtkH6PvgGwjIaoKU19y11Uh32jFrZB8cONGG+df2x1MzSlNa0KY77cwy3GUXLJgHOpOn8pJc1j5PhtHapoBFC/xMMDpvXH8cbw1ZNnnJMHrfOqJZTX9/ftvRhIRj6dQS/Omjo2gNxRK4q6zyN2uYZYNAz8MLAaOa3ulgev2QngjHSCKasF6uJeulGZdmTFLOcEhW8PGRFlJhfbcWATlRy5zqzuakSeA4EGlQiUgzxuP2vrXVuHV0Id5fcDUm+XITJB9pUvnga/swfvnfcFG6MznPPsfDkn8zLeRM10xzUIUWGqn0sUMxNekm7fGpxdi4qx5NHTLAEX3dZLxqik+60aD4XPlu7QWBzW8iNF2HSxSwooLojT8yaTA2fHocbknA7JEFkGMadJBuGseR4sfCV/ci2yvB4xDRO9PFrrnL3jmEnHQHAC65jTeAX904COEYeY7emS6caAtj7tgill9kum0G/oWkuKYzVVTObuGES3C8NYSgURSgXd7Fkwaj9tcT2axXSFbhdYj49eufsWO6f8Ne6LqOH48uQENbCItf/8w0mEhUNAKyAp7j0MMrwR9RcFX/HnDZBXxwqIklxCFZJbKoMpGEdEsittc2Q9N1CIZcKtWm/rbj69Sr+U73e8yLTVEPt8XBLZUDGjVNoC3jN/adxPf6ZOKpGaUIR1V4HTacDkbhdYhMJ9o8UV5ekote3ZIv2F6niJpGMiFeMTwf07sY2HJJAmuzbNl/EsdbQ6w6aXaDo8MEtBXvsgvom+1mckzmNhDla22ZdyVT0Hjq/VqkOW3Ysv8khvXJYi3qVFSN7h5ibUr5kbVNAazbUYfJZXlxbm+dLU3a1qQ/A6moHUlkoeId5Vx2AeGYdt7bKlNscka3g+c5PLBhb0r3SIpLM1fyiWklsPEcXttVD5ikAicMzmHKMPRz7oqPXtcqY/zgngjJZOCvK0wumTwETrsIOaZh6/yrWMXkyfdq0eyXmYxeKoxSmbg5Y/sxLJqHXelxmlUKapsC6J3pRCCiWFQwupIFo3HkVBCSwFtk8uwCh9rmYNK2O/1uwAEz/rDjjDBK47uCVfr9l5fk4hc3DERIVpDlkb4Sl0smD4HLLoDnYbHLXlnpQ3lJLmqbyJBVrwynhZ5DNyduiVgDex02tAajAFLTM+hA68pKH6KKhjf2nbTYblM+dXlJLvyRGKOs0dejcyaLNh+wzI6cKR69DjHOvttnwWZXXHqes9Iz6lpC2PqPRoy9JOeM3FnDMQ2LNh9IUK45E1m9VLSSCzlchqRc1RetmD48H16HiClleQgYCSdNTHPSJEgiD54na/b8aweQjY6uM5woms7UYVKtobougAMwYXAOQlEFvbo5ccuoggR3QR0i0h1E0pDK3m3a3cBmo6icXU66A/5wDC67gFOBqDEgC7jtAk4FozjSTFRDeB5oCciWOQNyTAQzfbp78PkjE3C4OYilWw7iiWk+cBzwwrajuHV0IUb3y8ZHNc24ol8PyDENTX6Z0N9kUo0mToMKhuaTQl5hthcugydN8QbgrGRzv4n4OhPoc6Cg/s1GKKpi0eYDeHpmmYVjmmpRNSty5Ge5cOjXExGJqmgLxxKGaOSYhk8fHgcbz2HNbcOZNE1HOPlgFF2wH51SjHWfEN1IKpAff9/G9giueOw9NgDgsguYf23/BPtuas3Z0BZGd7cd7aEYFF3Hos0H8OmxVmydfxV7/i/bw1gwfoBlIIYMMcSYjB9NKFJx7fyRGK4ZmMPsRml8fKTVMlhGk7OAkUh8tcVtoowdbdGb70clsipHXHze81HDMQ26rmPeuP6Yv34Psr3SGeGSSsOlOUQ899HRBIvtFZU+zLjsYoSiKv4wexicRkKXalgvfsgvYsgkJcOkSxLw4aEmFOd1S3icw8ZDjmlY8OfUGM1y21ExIh+nAjLDolnbmiZZyd5TWhzHMxVGT7R1KirMG9efmVfQoDJ5N6z8EC67kJzrf4YYpfFdwipVIpozpohJdS6dWpx0wxS/XrYFo5jz8m7L9z93LZFA1HQNFSPyE2y4gU7N+/mmNfZ3P/QBMr5yoJUaslCcNJwOoWJ4PgBg0tA8C/f50SnEVY5K3MXPjpwxHit8eHYWObeOt4aYqQrFEvTkx0119yk9Q9N1jFv2AV6fe0XC2j537W6WPP0z62d8UFpJ/CByltt+QSfRQVlBmsOGwmwv1n9C9OfTnXZ8WNOEkUXZ8DpI4WveuP5E9xhkXdm0ux63XVEIySZYdMjbw1Foui0lV12HDoHjMXFwT4tO9PIKH+4ZU4TDzYTqVDkiHzqQVFJzclkeMpw2VlkORYmfQDe3HTyA5z46gltGF2D9J3VM47xyRD4UNVERqSUgw2kjCW5IVthMTVBWIPAcmY8yKscj+3aH084jHNVwo68XU9kIRGIIyTpLxnVdR78eHqYJTaXs7Gcp/fhNxNd5BOfHin6WwdzddB0ciNQLtcikVVyzreuC6wZg/rh+Fhkluti1BOSkLe25a6vR5JcRUzR8WNOMhtMR3G04Vq3efixl64VWa24qzSP8S55LcJ56YloJlrz5uaX1F1X1lJJfVIIsaNiDmmW4lr1ziEmYmVuz5hYOHW5cVD6IJb1OkU84rqVTS7B6+zHkZjiwqHwQkwKk8kvmyh9dLOL5qZqmJ1rcppCxS+UoN35wz/OSj2rGJf2MnTainUk5pmeCy45wDLkZTriMFney1nptUxB3rK7C6VAU89dX408fHU3A5PIKH57fdjQBDzyPBHfAlZU+eJ02SCKPwb0yEtrq92/YC0kUmIyeOcwYPdEWQabLDpddYFh88r1aRgt66v1azB5VkPQ9KXGfn0PgE+gZj08thtPOY5IvF/PH9Uvp8ElNPkKympRHDSSnH6VKgr8LWKX4dNoJvYhyMsk8CMf4nIs2H8DPJwzAygqfBZcNp8PIcNuTfv8OGw+ASyoROP/a/nh8ajGiqmrpYv305WrYhUQ7ZPP5QBP3g4sn4umZZWg4HUJhtheSjbgXJrOfnzWyD6Pl0OfwOMSzw+M64iYHALKiQRJ5qCrh0jptAtrDUaKOEOds6LIJlnUgKBOebeoOkfhPr5/x0RWt5EIOG88hICtsYxWMKkzW7kizH0FZwZFmP/KzXPA4RGzaXY/8LELbcNgFnGiLYPthoiF9eWEWtn7WSJxOk1w/n992FBw4cJye8F3MW9dJiZo0NA+ZbnvS82XWyD5YuuUgnHYRFcPzISsKctIdWL71ELwOEY+8/hlWvlsLj50MPHoN2/Esj4ScdEdCrmETeMgKUZqhNL0nppUgHFNZdT1o0DwFgSfD2nYeaU4bXHZimEJTyaDcyXuOKiqz+3bZBTjsAqLniwoHx3E8gJt1XX+li7tt+3oO6dyJZJWglZU+VoEzcy+BTgmhp2eV4fmPjuKNfSfZIv2nj45iclkesjzJCxqcwAAAIABJREFU2zF04jVe7J+K8a+aUQavk7Qw2sNRy2N7dXOSSVW7AJ7jOtUAZAXt4Rh+O92HOWOK8OR7tXhj30lkuGwpJe+Ot4bw6JRiuOxCQutw854T4Dmw50+lSPCLGwYiGFWh68Apv4xuLhucNiGh9Z3mtKElEGUVbnNV53hrCCLPYe7YItwyqgAeidibeyQRh5uDFqk8WoEBkLLt2FWL/nzjoybH5VC47QKCUQXzxiV2Fxa+uhfPzCrDn0y4XFHhw+rtx7Dy3VpsnX9VlwoENLGlSh0AmNnEibYwvJKIOWP7YfzgnpZWepZHwt8ONjHZL7MQfkdYQ26GI2V72h9OXuk+3hrCykof1ppc/uhz0ERmUfkg9MvpHIqMf346oNI704VTfhkZLhuqjrVa3ONe212PLQca8cfZwxCIKimrneR4yEDr2h1fYOnUYqQ77UzmL6IQd7evwiiN8x2r8ficO7YIt4wuQGsginnj+ifIad2/YS+WTSuxrJePbznI7LGTUl8cqTXv562rRrNfZoY+dN2z2wRUHWxiDoghow1M18ct+08iJKtoaAvjSLMfo4qymVNiqoKD12FLkMsLyepZ49HrEKHrxBKZVBZhqXavrPBh2bQS5KQ7GF2C47iEdWBFhQ+nDE3gZN0Us/KJWxLgEIWEjsmZdDe6lGi8gEPRgG21zRjdL5txm39902Bs2k0GA3mOw6iibDS2R+BxiHhrfyNuKM5F32w3WXN21aNyeD40dBrdfFjTjOsGXWRxOn30rc+ZaU8oquDOqwos0op/qW6wUKKemVWWEr+NHYQu9/M/k/OwuYMoZZjlb/0RQg/xhxXDdlyFDp1d02ubAvivNz9Hs1/GYzcXM4rJUzNKwQGsq0KHAGVFg6YBbjuhtegAghEFHgcZxqYmKXJMg43nEDMI0qcCEfCcdej224wzqkDruq4BuPcr7tPl38/HSDX8JnCcoeWcPOFw24nffbyywP0b9rLk2xy0jfjpseRi/yvfrYXXKeJHz+6A71dvY8GGvZZBm7qWEBRNR1s4hp+8sBO+X72N3/+1BqGYigUb9lqqkLRNQ00I4iuDNoHDpt31aAlGmTqCueLW2CFD03U0nE5uHhGQFcvU/QMb98EvKwhGVSx755DBQXUhGFVxU2lews554at7ccuoAvTwSji4mDi53fliFfobKhIn2iLMGcxpO7MGiqbpXX7u9KJ3vkRyXO6GpgN2gU95sXdLIsp9vXBw8UQ8NaMU6z6pw7KtNay7ED89DnR+RvQ5aGdg5bu18DhE/OyVanAc8JMXdlpwZsbm0PxM3L1mF+avr0a7gVFqRNISjGLu2KKE12w4HYY7yeAL1QzWdKBiRD4+PnwKgYgVp5v3nMCizQfgDyuM1hT//P6IEqdso6A4LwPjl/8NfR98A3etqcLlfbsjJ02CqutJqzcPTLwEKyt96JFGTD4kkUflcNIqpcYc81/ZwxR5UkV8N4Fqrif7HuIHzM7FiMfnsq012FbTjAyXLSU2c9IdCYOWr+2qT1ox9hhcyKSqAsZF39ypoOteXUsIg3tlQFZU/P6vNWgNxnD76iqLidOfq47jyfdqMSg3g6w7hspMKgWWoKwkVIYBnd3XzHf2hxWcbEu+bta1hCzrpaxo1vN7XTU6Ip28T1q9Szb46rQJSTt+DpG3KJ/EFA0tQTlpZy8ek/H4TbWeUm7qhRouScBP11azDcbmPSfgNrp7m3bXw2kX4HGIePsfX8JlF/DolGKoBlVnW20zZo3sg5imY/0ndYiqRI60MNuLcJRw1fs++AYbtqZrglsSUWqssXRdnTi4J2SjG0DX/mRD2MdbQ4QyJ/LISSNVZXDAigof/n7kVOc55xAMOTnyk+OIZF8Pr2RxBKRFNLqG371mF/yygkhMNcxPiAGKppHPqsY4fpco4O1/fAm3XSSKGzEN4agKTQdEnsg1EsUlB3iOOGmeb0OE73ActwDAegBBeqOu662pH3J+R6pKkMMu4A8fHsGskX1ScuqKengw4GGrfeqnx4guLtUvNVezlr59kLXUkz2nWezfPGjDcxyWvXMQy6aTFjrdpVLN34Tq+MwytIejKOzuhsDDYohBDQtWzSiFrGoWThWtDE8uywOgwy7weOn2EahrCTE75pWVPth4Dhur6i2vu7GK8Lt+8f2BFnMPs9W5+TOiO9BwTGOJi/k90Cl+IgLfdRJNq2Frd3xhMWYx80ofn1oMVdNYS/Ncj1S4dEkCdI23cOhoUN4xz3GY8YcdWHPbCObqBpBKWdnFGSmxSZ+DJtOUVrN40pCk5iIUm+8dbMSU0t5Yc9uIpJik2r5mzd6lU0vwatVx3FSaB4eNt5gJrTX4fB5JRFTVcENxT9y1JhGnFcPzsbuuFX17eBNwuqLSB7edSPnRajnlVpsTHjmm4ucTLoHLnrzalpPugK7pjPPpjyiM55vA200yYAgk7yasmlHKdLfjsbqiwnfWts//7ojHZ3lJLgblZmD19mOYPaogKTYbTofhsPGsG3V5YRZpPbvslsrbu5834qaheYgoaoJ5TTKsUjyumlGGTdX1mFLaG067gFkj+yRi0dBCv7xv94QOzvPbCG0pnvNrFzim6xyUFYgChw8ONrHvK57v/NvpPjw7exichknQlv0ncfOw3vgvE82OYpF+dhSP4aiKSIx0M7QuBnQ9DhEbt9ezqndQVkiyHaf9fjoUS4LV3YYRU9fa+k5DaSL+83CK335S821GyKDRUDrN+ME9EZQV9M12o3J4PhuSu2ZgDoJRFQdOtGH84J6ADvx0bTX+/uA12HP8tDGAaGNFi7aQnNReftPueuSk9UGaw5aA5WdmEVMTmlc8sHEfnphWwoaw6dDso291WtQ3nA6jVzcnfv/XGtw6uhCXFXbHpt3E36Gb246owWWWFRW6LkDVgWAwSiy5rxuAomw3/JEYlk4twaNvfW7Bs65ryPJIONkWRk/jfNmy/yR6ZRRCh44fFOciGFUYx5rjOGaiQq36XHZiPy7ZeDYD8G3G2STQtxo/55hu0wEUfn2Hc25FqsGikKxi5bu1qG0OJi4ilWSQIhRV8LtKHwqzvWzx37L/JOpPh9EjTWIDHXUtISx7hwB4RYUPHx8+lZDoraz04devf2Y5tvh2ZTSmYvrwfMyLc0acUpaHR9/qlM7yOERsq21mTnQ5aRIzIVg8aTB4joOidVbc6AJOp3t3fdGKohxvgpuWpoMl4ObXLc3PwE1D86DpSDD36MrdsLvHntKanFb+U7ULzYNcdOc7Z2w/nGgLY+nUYvTMcKIjHGPSVo8ZC0iqJOdci65wqUPH89uOJmBoRaUPLpvItMblmMoWeDM+PfbOSW3q6EZb649PLcbSLQdZpe213fWYcVmflK301duP4bpBF1moD6kwuXRqMS5KdyIcVfFhTRNuHtYbNp7D3LVWjP54dAHsPIc2w/qZJgDxOAV0FGZ7ExQcXHYRf/zwCJtQXzq1BADwxr6TcNp5Rj8CgKiq4Wev7MFjNxenxGmWxw43R5IKtySmTLZTGQtB79QxB4gh0+lQDPlZLjwzqwwumwC/rDCsrvukjlCXzuFBrXh8mqlutc3BpBvZ13bV49YrCrG8wge3ndghByIqeJ6DJPL4j/XV2LznBLbMuxIvbD+KyuH5cNg6FVECMrnwmmkgNJkma4WAawbmJGDxtisKcToUxaNvHcQb+06yDksyhaEsj93i4rrukzrcPKw30hwiOiIxBCIKcjOcGNk3G7vrWjFrZB8LHS/bKyESU9EjTepUUBqRD6dNYMYrlG7ikgQs+sGlCWoaq2aUIqCRbCIVVaOuJYTJpXl4fttR9M4shKbpyPYmKp/0zkzeDXBJQsKm2Kwyo2k6woqK7h7JSOoE+CMKPj58Clf07wHPOb7B+ybDxnOYNbIPbDzHrrH/PaMUoRiZKXJJIlRdx8aqetx5ZSHKLs5Es1+GwyZg7tgidHPZMLJvNu5aU8UGUKl7570vW4cEd33RiorhpAs3qigbR5Zczyiej285CLcksrV60+4GfHyEyN89O6sMiqZj0+4GLPqffwAARJ5jdvOhKMlv7r2mH0vUl71DlDQAwlC+Y3UVnp01DF5JQKNJ7pYoagmwCzwWTyLyoxTPW/Y3YVRRNvbWtyHNaYON53DHlYXQdMBhFxHhyLp75FQQWR7inRGmlI+YBh2E0iEY8n/Orxh0/XfEGWcLuq4XfJMHci5GsgnlFZU+gANrX2V5OiskdBFf+W4t5o4tstglMy6vQ0RrMAqR50j1iuewbLoPNY0Bsvj37W6xpa1pDCCqaGjskNlxlZfkYv61/QEQu2+XXYDdJiDcIcfJv5Gp8gXXDQBA+JpBWcGoomzc+WIVM6CIT7SyXHbLkKT578srfFj/SV1Chc3sGEZf9xc3DIQO4K41VVhz2wjkpEn48OdjkJvhgN8YBnh6ZplFcocYTZCKeipVEdrKTrYDNVf0ctIkZrJgPn5N0zFs8VZLd0A05PbOh0iFS6edB8dxbHNHcXmiLQxJ4C3Jw6oZpagYkY91O+qYbF3PUQXgOeAnL5Dvy2UXMH5wT8wZ2w+n/DLckoBl032Mx/zW/kZcVtg96Xd0Oihjclke3HbRUumdu7Yay6aVWDBZ1xJCN7cdRh6Kq/r3ADjgJ8/vTInRXV+0YvzgnilxuqLSh0276xNwumTyEDZX8PERoqn+2M3FaPbLiJhMPz49RuQp77yqABkuW0IV24xTfzgGSeQRUTSIPJ+at2tszswYpefFlnlXom+2Gy3BqGUTTBNByqUVeQ73XtPvG8fYvxLx+OyKo04l+m67ohCKpoEDiGJBX8I/ponmzycMAM8RKbgbDHwvnDAA3T1E69nGc/jx6ALce00/1LWELJ8ZpZbRwT662cp0SwjICiQb2TgVZbsRiirggKQKQ3JMw13GuvnQ9QNx7zX9EJJJO1vT9YTNmtfE006G0UenFGOd4UQoKxpTVSrKdqOxPYKbSvNw14tVlgScWoGvuW0EjrUEklYlKS4rR+QDOnDXml1YWelLUD453pp8DoZyuOPl9pw2PqVCzNK3yQbk0K8n/vuAdg5GVNPRForBLQm4b101sr0S0p02QAfcmSI+rGnCFf2yMXtkH0Q1Mvz32M3F2PVFK24ZVYBgVGW4oQOoPMdhw87jlk7M+k/q8OPRJCUbdnEmXHYB/R96k2H14e8PRCSq4umZZdj1RStLlOn8x4+e3YEVlT5Ufq83TgWjeLWqntCR+nZHdd1pthGbPjwfb+47icYOGU0dEciKhgwXMUNySQL8YQU90iS2QfM6RNQ0EYWwFRU+/NfkISjKdqMlIGNUUTae33YUs0cVMFlOXddh4zlEDLqGSxLwm5uGICSr8EdihmQdmXkAwKiWTpuASEz71gsJZ1Vu4zhuMIBLATjobbqur/66D+pcCrddsLSQdR348FATa7FRbtJjNxfj5ybJrfGDezJ+b3lJLqaU9cadJj/5lZU+yIpGxNRlNUGLc/64fvjx6AIU9fDgy/Yws/nOSZPY4k7/f8dq6wUXgMU0ZcYfdrCWOk0SPz3WmlTu6L61pPWTakhyntHmpEkIfa54xzA6LEgrhG0hGQ9ePxDrPqlLKuNEJXeWvn2QJVU2gUto066o8KHqi1Y26BgfZv7llnlXsqq3+fifNt5fV0nOuRzx1rxBY1r/y/YI0pxE8mjznhMsgXh/wdUW+TXavt1c3YApZb2xYMMey+c7flAO/JEY2kKxpBqxi8oHoSjbjVUzSPVpeYXPkvT9cfYwBGQF98ZRgABSjchJd+D3f60xLMA5Vt0wXwC8hlbq3VcnYvA+Q8qM0p2S4fS+tclxSk2EzLf16ubEE9NKoJuUZcpLciHHVFzaM91CZYpve9a1hAAAmW477l6zCzlpUgJm43V9zRg1y0EuKh9k+bzNlCVzMniu4zQen/GUos17TrAhvxNtEYSiMfTq5kJIVrG5ugEVw/MttBxK6Vk8aQj8kVgCvhkme7gRNniazX6Z2cOvrPSx2ZJkiewT0wg/ePZIcmFv6pAZDgCzfGIZsYyfeAnmra+2JNceScT4QUQznW7WVs3sXGdSDZwvKh/EMMnoJjPL8ItN+/Hb6T5LhXjOmE4jlraQjEt7pluuKcsrfCzZCcoKk/zLSZMQVfQEqcgMpy0pVag9HE0p/+iyiZaOifl9NPvlcx6b32Roms66UNQz4fW5V6CxPcLUVfYeb0fZxZkAxzGedK8MJzEHsQuAYa5GMQ4Av51ekvBdPDqlmKz5HREjmVSZZOnGKkK5cIgC7nyxCsuml7DZELpBMtPnPA4ys+UUBdS3hTH04kysrEjHI69/xqgd4y7NQZrTBl3X8WFNMxaMH4BIVMWRU370zfZC03W2Uf348CkLjeTWKwrRHooiyyMh3WWD1yGiPRyDzeA2h2Si0OFxEP4zzwECx0EUOJY4twRIlZ7cX0E4pkLgvn265RkjneO4XwK4GiSBfgPARAAfAfhOJtBJlQ4qyADT+ME94Y+QavORU0E8PpVw4MyLnbnqcv/4AQmT53MN8G6sqsfsUQWswvXBoSZcd+lFyEl3oK4lhF9s3Y/GDhlPzSjFH2cPg6rrcBlVPbN8F31e8wX3e30ymUB6fpYLv/9rDWaN7AOe43Bw8USLMQoNOgS5osLXpeGBOczcWPPvZuMAURBw78tVFhcyesz3rSOVwRtWfmipQj8xzYefvVLNNFJp25TyF28dXQhPHAfazL9MNeTpsYsJXN8z0T49l4JquJ4KyLjPoDksGD8AH9U0W4xptuw/mXRwq3emCzeV5iXg8r51BJeHm8nCmMBzryAdGI7ncDoUxS83H0JhdzdbiAORGBm6W5ecu97slxGSVUwamode3Rz4j/V7mAawmQO6ZPIQLCofxHiA5qADYk++e+SscXq8NZRwW0hW8dhbn2OZkbDQJCuqagnvg3Zbmv2yBaf07wBx31syeQjys1xMMcHMrTdjVNPBNt5dqaCYk8HzAadUGUfVNKi6btlUzB1bhNmjCuC0C0hziMjr5sRtL+zEmttGWAaLAWuXgBhH8HhqRinaQjG2SXfbBdS3hRA0TBbaQlGmWNESkMEbbnypNlukrT0MThuPoKwiJz25MoxLEpNy/ileJw3tZan0eR0iK3x09d0ebw1BNiS5Pj3WCo8kYvOeE5gzpsiy8TA/B11P44sDSyYPwdhLchjGXJKQUvnk2VnDkOmyM8pWTWOA0V4euXGwRZ+fJlyp5laKenjOuzX0646IokIxBjBpJ6pfDw9OtofRzW2DyPO4ZXQBox4GIoTmGZAVNrfE8xyTsZu3rhq8ya0w2TwTTZYlj93ShcjNcIDnOdLBW09oG/Ov7Q+PQ2AqXpQGSYslALkucACaoyo27znBqB3z11dj2TQfvuyI4LLC7rjnpV14ZlYZCrt74ZYEcCDFLk3XcXNZHgBg8eufsQT5onRCm7xpaB7aglEIAs80nennEYkSB0KHXUA0pnbynwHYBCLTar5/7ByQTDyb+vfNAK4B8KWu6z8GUAJA+kaO6hyI+EnybK8EjgdOBaLQdeB0MErkZnRg6z8a2QKdzB47lZugxyFi+vB83GVMe2+ubsDEwT0x/5U9bPp7/rUDkO2VsHr7MQSiCu4wTY2net6iHh7GfeK5Tl7cpKF5zM1vwMNvMik7c3yvTyZqjES1q0nr+MnzLftPJmir0hbhnDFF8Bi77VQXEmo089SMUrz7eSMaO0hS1dgho6EtzKaPV75bC6/DhslleWzwz/K9GfxLanCT7Pj9EQXrdtQxC9unZ5Yh02U7LwYIzRGKdep03311EfbVt7HWN11MK0bko8XgSlJsHv7N9fBHYl3isleGy6JC8NANA/H7H/oQ03TMXVttwWdtcxB3vliF9nAMEUVLyQMu6uHBE9NK0B6OYuGre+GPKCwRpVq89L69M11Ic9i6VAZZtrWmS5wGIok49TiEBK3n9nCUVe3MSVYyRZxPjxHzmWdnDYPAA4XdieSieQO5ec8JjFv2AQAktfkORQn/fMu8K9GrmxOLygcxd73keCWGOEsmD4H9HOY+J4tQVMU9a3bhsbcOYlH5IHz+yATMGtkHpw19bFkhbdzHbi4GxyElJnt1c6KuJYQ1f/8CHMcxKsLm6gbwPIde3QheBzz8JhZs2IuYqmPL/pPQdCItFlXJ0GFKjWRJQDCm4vltR1MqbtS1hJhjbPzje2e6kOa0MZUDen9d18lQXjS5akhAVpDusuHjw6fYbRRLW/aftKiQ0PUUgIUeYj6O/CwXJBuhcm2dfxVCURW9M5N/pi5JQGsohjtWVzFjLlr1FHguqeZ5KvWTUFQ5L9fQrzM0DXCJAjwSqUCvmlmKgKwgJ83BOLseSUTD6TDbWI/ul80w55VEuO0CBuVmYP0n5Pq0eNKQlJKBHknEpKF5yOvmhNMuMs3nTbvrEYqqCMgKFk4YwDZ/m6sboOlATaMfQCfW0pw2tt4ebw3BH1HQ3WtnSkoNp8NE1q4pgJ+9sgc2gceEwTlwS0RyLiiT13rsrYO4e80uaDowbVhvNkxJ5hnIHIfHIUIQeHgdIiLGZ9IWiqGuJYSYpkM19MxDMY19Zi67gI8Pn0I4RoxnQrKKkKwi2oWy0b8rzqbXEtZ1XeM4TuE4Lg1AE77DA4Txk+QLJwxAJKYltMF+c9NgABw+rOnUF61rCWH++mqmaBGJqkmdt0KyinmmasuUsjyEoqrFmpZW7gAkKFKk0nIOG9wnOuS1stIHp43wrzQ9Hd1cdlw/pCczRkk2yf7GvpO4Z0xR4jCaIeBPOdqN7RG47AJuGUX4hx3hGKqPn8ZDNwyE2y7ipdtHICQr+LI9bOEvxx9zRzgGr8OGtlAM3y/piRuH9sKL24/h8anFeOytg5b7+iOxlIN/LpuAVTNK4ZcVrN5+LOH4l1f48ML2o1i2tYa195lr4nmWnJgx2jfbjQyXLUGRoupYK0YVZeOl20ewrskNBt/8j7OHpcTluiQ89z/OHgZ/RE6KzxtWfgiR53DPmmqL+xoNepFNc9jw4GvkHEpz2vD0zDKEY6pFq5xqK3dz2bH9cHOXyiAr363FPWOKktIm3PZOnAYiRCFBEkkF0+uw4VRAhtMmwG0X8LRRhXt6Zhn7XP0p1EyoVvCW/SdRMTwfLruA5z46avlu6IVn2dYafHyk1YJTp8hb5iPoe3r388YEvD4+tRj/+ZcDFrrC+TLsCnTqBV8/pCcAIKpoFsfK31X6MKooG7kZTtQ0BtArw5l0uDUkqzh2KoCJQ3rirhetGI8qGua/Qtw3zTrHV/TLxu3GsNPtqwmf/lc3JsdmwNCgPXIqCNEwpDJTG+g6NGdMUdLjo50NqkRgHrwi3Tg3lk0vwfz1VroUzwHba09h7CU5yEmTMKooG25JxI4HryHYlARWIQ7KClbNKMVda3aldAMNySrCUZVdf3473QdATHpfQvMgRSLKt6XKIak0z3keSc/HP3109Jwfbv2mwyUJhvSajj99dBQ/Hl2Aj2qIJvSGT49j9sgCCDyHU4EIunvsCCukY7Ly3VqkOUlRSNdhGbhdXuFL+V1TrvHTM4naxtKpxXi1qh7jB/eExyGi2S8j3WlnuPjJFQX444dHccuoAswf1w/Th+dj1xetuCjdgdPBKDLddnRz2fDC9qOYNbIPfvH9gYTz7LThv2eU4i+7G9jG60ZfLwQiCk62R9Avx8Ok7GgBhrxeIUSjgr79cDMG9kxHd48EjySgIxyDwHMIxVQ4RB7/c6gJMy/rA3CkEu12ESWumKIhpv3/9s49zouy7P/ve+Z73gPLchI5KCfN5LCwpCmaihZiRYShUIh28PTL1EzzqXx6eEojkwisflqWKVKgphHPL5XylIo+KocFMeMgIMc47S673/0eZ+b+/XHPzM73BEuy7C7M5/Xa1853jtfMfOaee677uj6X5PxhvYiF1bx0Vo3WhDvBaMeRtMIrhBBVwEPASiAOvNUuVnUCeDPJJ406mW7RUNGhu4dmjiUS1Fzd0PyXfMqwSBuFHe9IUEPzhFBMGnUyoYDG7U/mNkxz/7aeIb3KSGWtnI7L0jW7mPf8hoKGfv60Gp5atZ0ZHz+V59bt4XM1/Vx1jPnTawjrGo++vsXtrEiJ3clV2buOOsI5g3vQkMgQ1EXO8sVvbePKswby+FvbuLx2APc+90+G9ipj5rmnIqXyKNUM6E48nVt44mdX1nD/tBpWfFBfVP7IKejhxCRWRTVuungY8ZSq6uQMYd97eWuHIqAJokGtoMS3rmluaIs3ma45pZQ3vPJtUFwloSvAy9F42sj5GHtj8wGWrN7BlWcNLODlpn1KhbJY6e1IUKMlo7KqvfHDfSrDtGRy179/Wg0pw6Jf9yjP33aB2/F0Xsb5H17RoI4Al1/bDiSIhXRWfVDvqtX8cPJwQJLJWjz6+hYmDO+bM8zclMyyZPXOnJjgHQ1JuseCPHhVLRURtU5AE9z+xzXsaUq7MbSTavox7/kN3HrJaVRElJfokeXFy5f/fHoNhmkVdMzvmzqSu5a84+5XArFwwFb+ICcZ9r5l691ELLcUfVAnaRSGhjgfIktW7/AU+jC5a8k7OYU6uhpXHW+7c40fmjk2J858zCnVOfz87dVjCz4u5k+rQSIZPbC6IKzgzqfW8vtrVSLmbZ88nSWrd7hJsS1pg0uH93Hl3pyk4WIqR1JKEhmTuz5zBl99dAV9KsNuGI73PowZWMW0sway+K3C5Nvv/mmdG9vdkFBSofGUkurqO24QFeEAs6eMoH/3KPG04TogRvav4qmVO/jyeYOIhQKu6kIxbt4/vYbfXjMWHQraUS83nffPE2+rZLNCydHRRIN6gURgvnKIc41nT1Ge0EhAJxzQcrZzHC6dPbm1veEkuJWFAq6Kxcj+Va4O9Ovv7+OC03ozpHcFL6/f64aCfuzUamb9zz+Yee4aRptZAAAgAElEQVSpgGprl995EaGAZhd7ijJn6qicXBUn3t3psK7Z3sBJlVEVGleliu30iIXQdMHPv1iDEGBKlARoJMBXzx/MKxv2UntKNWFdUB7RSdqqQPe/uImvjx+GEPDKhr2cP6w3TU0pPj2iL03JLM1JxV3LkiQyWQ7E04QDemsirl1yO5E2CQQ1gkIwon+V+26R6NRtb+ATp/XmvV0HOePkbnzqoyfRklHhGmXhgLtPYcdDO9dXlS63f2fMw8rYtjeEVwS7zRsJcSpQKaVce7QNam+MHTtWrlix4rDrWZakOZUlkVExcQCnfe/ZAuWGDfdMpCmZzWl0oDWxpV9VNKfj7SxzPG9Op2fZrZ8omrA1b1oNAgq8VU6y3UMza2lOqfKbTsb6pJp+yj5d8JPn1ud4r37yhZFcNOdl1t89kZ0NyQJv15xl69nTlOYXXxztFpAodlwn4WnO1JGYFu5+lv/HeMIBjYpIMKezf87gHsy9YhTRkM6C17e6HpxExuB3r23J6aydM7iHSlyY+3e3Q9OjLMT2+iQvr9/LOUN6MrR3OfvjaYSgIJa5R3mo5L1qSaswmPzrXMSr1+FjkYfjqmlatGSUF0OIQn6W4pQzolFs2a+uquX7f17HT6+oYch3n3GXvXz7hTmasZNGncy3L81VKpg/vYbFb6riLN4M/pa0wfJNygNRXRbi+sdWujqh+5rTPDijNsdzPn96Dc+s3c3df3mPDXdPVHHeeR0Fh6fzp9egC0gbkm89sSZnHQGMu/cl95yH9CpjV2OKO59ay5ypI8naJe2VlOSGnOfk1zNruW6BUlz4+kVDGdanvOh6pXg6928bGDOwiokj+uZJSx6an95qcPG0Kl/flbnqFOS43laT2Dz7Mvfci/Hzjf8Yz21PrCk4Z0c+Ll9bP6AJ6r7/KfbH0yyt21k0QVkIcpKJHRWjgT1i7DmYIqAruURVZdbkwjkv5xzb4YLTTjtxpvnHufsv7/HMO7tZf/dEZvzmTeZPq2FnY4IeZRFXS3fu3zYUJDE+OGMM8bTpdpCev+0CvvP0O8yadCbL1u0u8HZ/5Tylm/u719QHZilu/uQLI12PZs7ITDhAWNc4kMjktZ0qn6AUN5EcKS/z0Wl5ejRgWRIE7nv4y+cNQtin7OTwDKiOEgkqxYy673+KgAZNKYPFtqqGLgT1iQyGqZI+J5zZhylj+rs5KcV0oK8ZNwgpoTyi88sXN/Hl8waxaa9aXxMqz6IspCM0kVMwrL4lw5LVO/jKeYNdp5sQ8IsXNrp9iO5lIf51MMWspe8ye8oIusdClIVV9UrDsDAsqaQNkbSkTSJBHaSqp+BIoWpCENCULOj3//wuc6+sobElQzCgubUXHKk63e7oW1IS83AplVH62SG7fL2mCaSU6Fq7daDbxNXDHl0IMSb/D6gGAvb0cYuMabnxyKUqmu1sSJZMdBrau7yo2H2fyjCaEPQqD/Obq8fyxn+MZ1ifcjcW0olVdaTEilXru+2Tp3Hv5SN5+LUt6JpQnVI7Rnhgjxi9KsK88N6eAu+VUyWoOZV1h4q8yVt3Tx7B7CkjCOha0eprX79oKH0qw/SrirLwa2dTGQ2yZPUOelWE+fsdF6IJWPD6VjeJ8EefH8Gb37mYhV87m4qIysC9/8VNbsW3shIe4QHVsdbqWovqSGZMelWE+fTIvm41rWTGLLDx5kWrS8bEprImuj08m1vdruslv1iWpD6RdeM+i8WzHypxqWSCZSTA4J5KzeDN717MulkT2Dz7MnqWh+lT2Zry4FUE8N6na8YN4pzBPXjmnd3MWvouOxuSPLJ8C7WnVPP3DXspjwTsWF6Rc8z8/ZwzRMnjtWSMAv47PH1gxhi7AqDOt+xOl3edbtEQgMtXTROEgxr3T68hFNBYWreTjXtUZUyHp+//6DI3QfftraqS2IR5ryAlXDL37wXPUzGeVpeFmHvFKD4/pr/7gdwWfnoVDOJpg2hQK6jE19W4qmkip+y2t4JpMQ72riyewFdhx/UXu26agJ7lYb5y3uCCNu2WxXWEAjq/v/ZsXr79QibXnKxCEYTgFy9sxJQSpOJIj/Iw/btHC44dC+ncN1VVbR3au9zVvM0/jpP05xRwuWWxqiInBHx9/DB6loe5Y8LpBds2JLLc/mRrCMrAHjHmTB3JgO5Rpp890G3vNu9r5ppxg4jZSVub97cckpv9ukcLjnXzojpMK7dIlXeZo2yTf42d6pfHCy/bCy1pw71P0YCuwjqyhpsoGNI1z/MvMSyUtvt5SgHGlJI7nlzLgOoYlw7vw8QRfVm+aR9De1dw/WMr3Vyguc9v5M6n1tpSdlJ1ajMmX/r4KcRCOv2rYpSFdQ4ms5RHAiQNi0TaIBZWSYSxsM6dT61lwvC+xMI6F5zWm+31CbYdSHD1uEFURALMe34DFZEAb7y/X8XXV8eoiARIZEyWb9xHS8bklsV1ZC2JYUrKQgEqIgECukZIE60J1AIMS6IJwYQz+7DtQIJQQCeoCXRNI2iX+I6EdNKmxJKSqK0u5fyB2kdL2sAwLVrSBlk78bYj0ZYQjp8eYpkExh8lWzoVVJnUVq/F7Gf/6Q6ZeQs77GxIuvG9+TFK++NpYiHdlZdxEqVun3A61y5YkSNJ53gB5kwdRUgX3Gx7rdbfPbFksohlSbe4woThfd3jNqcMbnhsJbOnjAD+kWPT9voE86bVlExCiYZ0Lpn7dzbcU/y4Q3qW8d+fG+5+US9bt5vpZw0kY0qypsVTK1tl6oqd3/xpNdw8fqjrcXZeqPnXzpuU5SRBbDuQyPGCFisE0KcyjICCIcsHZ4xxpZ3yh2djIb3LJb94k1wBN579aTsGbmjvcloyRs61htZrGw4U6hXfPH4oTcmsGzqja+SE4agsaxWCUbIDHrYLsYRUcQlvAZBJNf1oSma5cM7LrlfYUeDI38/Q3uXMm1ZTsupiNKQDOrsakyUTz2JhnUeuGcuYU6qJhnR2N6qh8aRh5Xgri/J0ei5PS8XuF+PpL17Y6N6DonaFdDf0ytuWJNImpmlRn8i66j83jx/aGtLh8U53JXhDje5btt4djt60N14QTxwvEe/ZkjaoigULhrIfmDGGppTBNx+vY+HXiitEVIQDrkSiygfRiQT1nCJKs6eMYNuBBFWxXF15lVNi8cJ7e3hgxhiSGeOQH6b5BVwqIoGcmG2vioUzSjOwR0xp1l+mivhYliSoa+xtTrvt3azPfpTavHAX53ksxU1HzznfTkfFoNTzWyyfICDgQEuaRW+qd82w3uWq0I+t59sVeXm04RTvchK5W9IGZkZiSdA11blOZpXM4gMzxrge1vtf3MRXzhvM/njG1VOub0kzeXSrDvjm2ZeVvJfL1u3m3KG9bHm4JNGsTkvGJJIxWbujkawpCQc0t1PqhAv1qQwztHc5OxuSDOwRo6Elww//3z+Ye2UNB5NZJpzZh5a0wcVn9GHZu3uIpw2CumDVB/V8Y1EdG+6ZSJ/KMBWR1m7kgXia6rIwyYzpxn8HNYFhqfLb5w3rxdOrdnDVOad6Qj0MN8bfqUKcyCiZOk1AQNdIZS1i4QDprK0XbYdsRuhYHNYDLaW86BB/x13n2RlyzPccL12zi+qyEA/NrHWLc5z2vWf59h/XEtQ1HpwxJueL/MEZYxCoLHzHG/vDycP58ZQRrufuxgsLvXi3P7mGlozpzivlddm4J87Q7z3LhHmvsHl/C/2qorz/o8v41VW1rP6g3u1k56gQTK+hWzTIPX95j+31yaL79RYpyV9+8/ih1Ccz3PBYqxLI5NH9MSzJ7U+uYUB1LMc7U+z8bllcx9XnDnLt+tOqHQXejPum5qoyOEmG+R1m5wXsKEssv/Mivn3pR7h2Qa56xG+vGYuuae4H0ZK6XVw452W+9NCbIOiSDX9+x3Lpml288N4epnk8VtcvWMm0swZy2yXDcjgwtHcZUbsT51z3B740mmvGDaIioor3PLJ8C6mslVOY544n1chHwB7GLcaf5pRqDE+761lqfvA3bntiDdDqgavb1gC0djjmT1cKLvn7aUkbrPqgNZEvf/n2+gQtaaUZWkpNpjmZ5aP9urle+qypwjzaxNNFdVw9rpWny9btZv60tvH08tr+bofQscsZVVp/90SaUwbPvLObedNqctqSaxes4EBClZ13bJn7/Eauf2yl653uilyN6JrLtWfe2c1TK7fz4FW1DOmpSq47fJ219F3Kwzr3Xj4y5zo7mre3Lq6jLKzz8y+OZv3dl/LrmbUENFWl8I3NSlP7+dsu4P0fXeaqRzicvGxEX9fLejCZ5f19LQztXe6OqA3sEePvG/ZSGQ0WKLc4pZdvXLiKg8lsSe7H0+qj82dX1igN+vFD2XYgkcMrh6uOVOKspe+yuzHJ3ZOHu0V83t/Xwi2L63Lau8mj+xUdibntk6fxwMubXA95q0e4BpBF7dx2IOF6mr3KPK9++yJSWZO+3aL8emYt6+++lNlTRnDPX97jX02q8zx5dH9mLX2X0+56lusWrORAS8bvPNuIhXR2NaaUlzatJNmCukavijAtaZPlm/YRDequCkY8bbgj27Gw7sot/nx6DWFbzcO5/4m0yavfvojNsy9j3awJLL/zIm4eP5TmlMH5w1TneWdDkjueXIsloX/3KGWhAOOG9mLe8xvoXRmhMhokpAnXS/2dy86gJW3wp1U7VJK1Jhjcs4ydDUn+z8JVjBvaC4FSxnlgxhje39eMYUmeXr3L5bujBx1PG6QyJoap+iyxsM43FtVRFg5gWMpDDiqs44LTerOvOU0srDTiY+FWRY7mlCo7XxYOEAnp/KspTTJrupJ3AhWSks5aJSsRH0sciQ50ELgR+IQ962XgV1LKbDvY1SHwaj8XUxLY0ZAkHNByYvScTuGDV9Xy0MxaYrbQtyUpXjRkeo07FF7Kk+Et9lAsIcurTDFp1MmuR9vrxb55/FD2HEzlVEl8fdM+xpxSzdBeZZSFdFej1OsdXvzWNuZPqyGkiYLjXjNukBvL6Jz7ktU7uOniYby9tZ5Ne+MM6VXmHrOUznRFJOCuk8wYaJpwr92egykCmmBfc5rJNSd7vHOtSh5OXKrzAnbiY1XsYK5e5s2L6lRBhyKhNF0tIcuB85GXz88LTutdoNTiiNnfNH4Y8bTB/rgS3leNusG8aSputz6RKUg2fHrlDr5+0VB3aNj5KFt/90RAFi3JXB5pLZzRqyJcEO85Z6oS9d/XnKY5leXZd3YzpbY/b2yuz9nPI8u3MO2sgUUVEebbWsiaEPTtFuW2J+qKJoZpmuCWha3FjBw97CPh6U++oDTeN+2N84/dB3MUEbKmVcDTPQdTlIcDNCbSVMVUoQqn45F/rTKGlVN8yem4FysA0xV5CtgedVV51Sm7vb85jSUlOxqTOSNKb2w+wPb6JEvrdjJn6ki6RUPEwjp7DqbY05RSHzsLV/Gbq8ey+2DKrcj39tZ6W2pN8J2nc9tJb9L00jW76FMZJhTQmJWXGLqvOc3FZ/QhlTELqiTuj2fcD6yTukV5dePeoonQuoDb80bbdA23iAXgJn63pJW2b6+KMCrcUrjHcN4LXs9yKUnFgT1izL2ihgMtKh8mGgq4ydJ7mlIFHnsn8ddRwMmYJt/4Q34ioqo9cN/UkW5c9U+vqMn56HTu1y12+9pVVGHaE4mMybqdjXSLBjFMCwIasZAqGtKrIsw3FtXxzx9eytDeFRyIZ6iMBIgE1Xv4QDxNNBjAkparxOI4iL708YEksga35eV4zDz3VF7ftI/zh/W2R1I1t0JgUzLLnqY0w/qUM7hnGXubUlREgqiC2EqOtywUwLAsrj73VB5ZvoVJNf24etwgMlmTPpVhFcNsd/IBBvesIBbS+d6nz1Ad2JDOI69t4SvnDWJ/c4oe5RH6dIvw5IqNnFw1SHWybXUbR7+5OWkwsEeMg8msG46RsEM0UlmLjGHSozxMIm3QkjGVLrWARNpQqhyWSjJMZcyilYiPNY6E9Q8AQeD/2r+vsud97Wgb1VHwDot7O67eYVYoPfTlhjScPZDqsnDJBmf2lBEsqdtVcujNW+xh6ZpdDO1VxgMzxlBul7WsiAbsKm5w6yWnFRRTuf3JNTx4VS2prMmwPuVs3JObzKeqKEo0w3QLDmw7kCAc0LjyrIGEAhqmhCWrd+S8yBJpMycOdtKok5k8un+rnN77++leFmTW0nd5e2s9K+66pOj5NaWyTJj3iiul41Q3dBKKJo06mTlTRxIKaDkdpzlTR7kSdcUqtxUL6XA6H95hZK8tXbFyVsLWq83vNBYrmOIM8x2Ip1mxtZ7aU6tzKuvNn1ZDg51MVEwVwluMxBn5mDDvFdbNmsCS1TtysvHf3dVI97JelIcDPDijlpRhFiiD3P7kGjvGXrhqKis/aHRDapxiDkvX7OKNzfU8NHMsZaHWsJCNe+MsfnMb084eSDSo7uuepjRz/rreTRR0yuE6fHW8faV4+vxtFxTlxrYDqsDFkO8+4yZNeq/d/50xhoeuHksyYxRInlXFQtxkqznMmnRmUWWDQxWl8KKr8hRsrXK7pPEPPncme5tS9OkWYc/BVFG+znt+A/896Uya81R8nA8vzS6b3beb0s/e1ag+qr9+0dCixUJ+8oWRrqoAqPYyvzrp0yt3cPW5g+hZHiaRUaoZsVB/usdUQuiA6phbbl0IqBnQnTfe35/DfSdEKf/jdfaUEW7Z+qVrdrGnKU1ZKOAW/3np9gt5auV2vnLeYBZ+7Wz+dTDpfhx730GOx7gYR7uXhfjYPS+w/M6LaExmc8Ivfv7FGrfc978OJsmYuSXH75s6smCUadakM5kw7xV3eumaXTmFsbzoyh93RxuOrrMj6Rezw8YqokH3/qUM5TmNBpXCRGMiSzSk1InUO1Z5sjfujbN5X7NyIug6v1++JYdvTgGVwb0q1HYZE8PC9QhXRpW2eL+qqJ3MCGnDoHtZmD2pFMGAKmTypYdW8OCM2hzljV8s38Ktl5zGpr1xhvUpJ5M16V4WQghBImNQFgrw+FubmXnuqXYMdYDeRImFVMd96scGEAvpruRtwi5w1JI2QKjwjKCmEQ1piHCAZMYkGlLx2j3KlGNHF4JIUHPDYDUh0MB1UIIg1AlGPY4khfFjUsqrpZQv2n9fBj7WXoYda1iWRAMemjmWzbMv4+7Jw+ldEeJ314zlB58bzoBq9XJvTBRPskhmVGd1wvC+3Lyo7pANjhNaUWzobc7UUZSFcos9qGzbnexqTHHDwtzwhFIi+RWRAI12AYcJ817J8SJGQzrXLlhJMmsRCmjsblQviYZElgqb0JGQzlfOH4wQgmsXrHCHmG+fcLorrO8UnJj7tw3ce/lILjy9d05iSnk4UHQ4tiISYN2sT/HV8we7HSzHI/j+jy7j6xcNBVoz573hLcU8NQ5KhbvEUwbRgMb900d3+cQXy5IgJTddPIzuZUF+e/VYNtwzUZXPPkQBiOqyEOOG9ipIHFr81rZDVvLbXp/ICf9wwi0OJjNMqe3vDr8vW7eb2lNU5/y0u57lhoUr0QQ5H1zOfgf2iOWkODuFR6SkKFe/+ugKmlMGuw8m3SSuxW9uw7QkT61S4QA/u7KG8rDyFjqFiRy+OolbpXg6928bChJL7718JPOe38CwPuWsmzWB2VNG8PTKHbyx+QCXjejLrElnUhlRpW0XvbmtYGgdiRsuVCrJuFRRivxCRV2Rp6C4KlAFOe75/PCcpOzbnlhDc7KQr3ua0miaKBra9p+fOYPbJ5yeU0wqEtCYP62mZFvrJE1v2hvnnME9CjrtjhPghoVqn9ctWMm0swdSXaacBromSGdNbp+gwi1O+96z3LhwFWeeXMUvX9qUU+CpWJn4gdUxLCmZN62Gl2+/kAdmjKEhkWHbgQQ3jx/KyVURV3fZCTN61P443tecZu7f1jN7ygglv1mCo6o9nUDfqii6naj1l5vPZ+HXziaeMglogl++uNFV+sjnqtPeOjY7H3De6V++tKlk6IpX2eFER1lYaYnHQiq2VxPCLV527+UjQapY6HjaIJ42uekPq4mnVM2CFjt0tCmVVXHNQ3qx+K1tlId1N3TGGzrZv3vUVTl6+NXNlIUC3PHkWkwpORBPU3uKSrB1RlEyhqQpmaVPtwjVZSFSGeVgqIgGcIQF9hxMMWF4Xwb2iLFs3W7iaYNFb20jnjbY1ZhUpcrDOtPOGsif63YyrHe5fZ7YMdKqSEo6a2FJi5asUs9IpFV4xw2PrQIpXc3s5pThxmZHApoK1wjpRELq2SsPB4iFdCwpidiVCDUhiIV1zI6vo3JEHWhTCDHE+SGEGAwcF0+OI1lXn8i4ncXrH1tJPGOQMizq7apZ4YBGSBf89IpRbkN22yXDeNAuvhBPGQzroxryQzU48ZTBAzPGMPfKGrrHQsy7ssatiPfUyu3c88x7zJ4ygg33TOTBq2pZsnoH5wzpWTSjuqXES7g5qTwp9S0Zt8PrLHOyxO94UsVv3/7kWk6/S1VCjKcN9yW3vzldVN3AiYN1XlpL1+xizl/XF7yc3t/X4nop19890dW53duUpjGZxTAt10N4oCWT00CEAlrRzldFtDUuLL/D/MuXCj9InES0RNakOhbkIbvD+dDVY+lRFupSsXsqxCjtxnhft2Al++MZ1mxvwLAk7+9rLognnz+thv5VUQ60ZIpWtJowvG/JGOKWtEHvirC6XjPHUh4KMPPcU1X877L1RIIas6eMYP3dE5l57qkFMZo3L6rj1ktOK9hvc1Ilstz+qdNzKrcVK7PtcPVbT6wha8qcF0h5OMBFp/dxY/KzpnTjYb18dZIMS/F06ZpdZAzLPZdZk85kzl+VTF5TMsvDr22mIaEqj8767Efd2FWnwzV5dP+cZ8xJYHRQ6sMOZNHY1ZAueGhm1+UptIbDXbtgBd96og5LUvDx9ujrWwr4+tMrRpWsvBYNBgo61jcvrkPXIJEpHSvvxP0/MGNMwUemt7S3N/69KZl1c1yyliw4rqNIlH+s/OM7WuuO0yNjWmzc20zP8hDXjBtEc8rIOf6A6hj3v7jJHVH56RU1bpnvslCgKEfjKYP98TTSlpm7zKNU9J2n36ElYzDz3FPdd1P+dc0fZXISY51zmlyjZP/KQnrRfJX2UxLrWkhkVYW871x2BomMiSYEvSvDJNImOxqSLFm9Q32UCUFlNOgm8p9cFbGrGiuVCafCYEVEJWC3eEp5e/kXtxUqBKhOe1jn+gtUqfCQrrH4rW0cTCop3v7do/TpFuGN9/e7lfxMKbn1ktOIpw3ut4UFAppgSK8yDsTTTDtrIMs37mPC8L5URoNEQxqJtEE8ZVAZCXAwkSWeMRC2LrO0O7mmpUaJKiMhwrbaUjJruGFIMdsbLYSg3IlttuX2nATCRNpEINAFJDMW0YDSqQ7bSkotaYNAJ2gSj4T6dwAvCSFeFkL8HXgR+Fb7mHVskciaNCSyBY2khnAbQKcxakxmqYoG+ZWdZDHNKcV917NuSc5//vBSfvC5M4s2OPOnKdH+Gxeu4rTvPcvXHl2BYUl++aKSVLpm3CDmXllDVUwJlf/Xn9e5Wp+lQkfyk5vmTB3lFqG4ZXGd2+H1ltl2ti8Lt0qIOes7XrZSIQFOHGwyY7hJO1+/aCi77eFUJzFlSK+ynKS2WUvfZUptfwKa4OmVO2hIZLn1ktP4+kVDi8h9Fe98eZMbnSHOcwb3cBv5k6uiPDijln/+8FIenFHL429t4yP/+RzXLVhJfSLrxs52xYQsFWJUKC04pJeKTTu5KpZTovzBGbWs/KCepKHk/nY1JnOSLp17NO/5DcyZOiqXp9NV/GY8Y/Clh96k5gd/5auPriBjWvzm6rHMvbKGoK7Tu0J95BwqRtO737lXtnLT6YQ4z0X+yEs+V72ScXc+tZZktjWO1JH/KuXpdc77Z1fW0JTMcvP4oTkJVNGgkpya8Zs3+fT9r7olxhe8vpXJo/vz9ModtGRMJo/uV/Rllt+ZcuIGofiH3YMzlAJo326Kr96ErS8/ssItatAVeQq54XA3Xjg0JyHKweb9LYT11o+w2VNGENQE+5rSRROYgaLlpatiSnmnUFqthl4VYRa/uY3T73rOLjMsc9Yr5bnu0y3iJh4Ws93peB5q5PDey0eqMsR5nfOzTu1B2rAojwQKRiecjy1HPvGbj9cRDmhomsCUkopIIIej86fXkDFN9x1VXNqzjsZEtqREnXeU6b6pI3ng5U3u9TupMuwmun7kP59j8ZvbeGjmWOq+/yl+f+3ZSKkcSz6wQw2U5nIyYxAJ6bSkTTKGSXlEZ0ptf+IpNX9nQ5JE2uTn02tIZExaMiampaTaEhmTJat30JTKMrR3eUn+VUaDSKQq1HbZGfbHYQ/iaZWIN2F4X3pXRlT4hB0z/LFB1SDUCGJZOMDAHjGWb9yHYUniaZNFb20jmTUJ6hrl4QDL3t3DsN7lNKcMvvGHOiSwfNM+spbkK+cNpiykY5iWrTSisWlvnIpIgGhIx5JK01kXsOjNbUoFyy7vHQvpREM6yYxFQFM5AFIqveygptQ3BJC1JJrArdpooWLNYyGdjhexO8JCKkKIMHA66tz+KaVMt5dh7YViQuqWlEhJjkj/pFEn86PPj3CLoHgLQyQyhlsNZ29zmgHVMf51MAkInlq5PSdhyClV6yQFVMWCOXGh0FrAojll5CR8OEl9c5/fyKvfvign4cjZzhHb//J56stzZ0OS+5atdwX9T7/rWSWCD67YPpBzLk3JLPc+t565V4xys9PjKaMghtU55gMzxlAeClCfLBTiLw8HaEhk3eTEm8cP5epxg9wYcadUszeBK//aQ6t4f271rBoqwgHShkVDQqly7G1KURULEk/nxqHOm1bD4/a189p+BAkvHd5ryeeqJWXJIgfNSYMbFrYW/nDCL4K6oE9lhHjaoCIS4EBL7j2bP72GlVvrGXtKNYYl3Xh4p5C43DIAACAASURBVGKfN8kLCouHONf582P6F+XnT74wkkTGzLHngvtezuFmUzJLZTRIc8pwk0iKcdVpeN/f18IDL29i7pU1PPbGVibX9Kc8opKnFry+Neee33bJMK79xGCaU0Zu0pddlfOGhaty4kXDAZ1YqJWrTt6Al6+l7oFTQGG6HZ+9P55hQHWM7fUJepaHADX0mMqarqRifmLwv1myu1Nz9f0fXcYmu+ywlx/e4jze9jWZUXJfzvX5+fQaak+tLlnU6aGZtRxMGqzd0cC5Q5QiQfMh2q9ffnE0AV1zk5uKFVaaPWUE0aDO2bNfKFmQyMlLSWRMxb+kgWGZVMXCdlynRkva5K4l61i6Zpd7jgO6R91iGaoToZKlNu2N88b7+/nUmSfxrSfWlJRXlFLpXm+vV7J7Xs6//6PLiral6++eiJSShkSmQD6xOWVQbg+pa0LYHb/WqpneoimlCij1LAu35UOv0/H0aCJuJ8VVRlVim5M4t7sxSXlEFa8xLIkENu1t5iMnVWLZnUbLlGi64JUNe91Kvk5svpITLeToT74wkm//UVWJ7Fke4tWNKqFQExAOaipcJGsSsO+pU7xEF4L1e5oY3KuCrGnx8R+9wIZ7Jrrym8P6lLvSeKms6ZaU/9YTa5h7ZQ0b96jY6ETawLSgItraRv3ihY1cPW4QQqiPf6d6oGFKhFBclKjqghIlbScBJC7vQpogKyUaym6ncEoqo7zmTjx1SBOEQ+2WF3J0Cqm4exNiKhCyqw9+Flh0PBRSsSxJPGWwvT5RMLTnKDd4JYdOv+tZfvfaFgxLErGTJ771RB1ZU0m55YvsD+6lBNC/+XgdAL0qwm7BFAdvb1XFJLxi+gu/djaJjKonf87gHsRCWoGnWXVYdTbvb6EsHGDwd57h/J+8xNI1u3Ik6RJpg50NScpCOkN7lRUMQUvgR58fTn2iNYzihoUrMUzJ/dMK4+7eeH+/Sg4q4unI2FJhXhmuGx5bSXMq63ZIvPG1LWmj5PDrxj1xN9Z73rQa7vnLe7y0fq8r93T6XSqWMmvKAs/srYvrXG1s73XuygkvpWJmUxmVWNqnMpxzb5fW7aQiEkTTBI2JLP86mCq4Z7csqmPc0F7cvLiOppTBL17YSNqw+OkVNQXFUyaNOplZk85kYI8Yf7n5fHpVhLl1sSqeEgpoOaFNDj81gRsresncv3NSt2gON+Mpwx2NueGxlQAcTGbpHgsWcPX6x1ayqzHFsnW7ueszZ5DMmEwc0deNX71x4aoc2b7bLhnGtLMGsqcpXRBecsuiOhoS2Zx53/hDXdHrns/XUlydtfRdpp01kL1NKRIZM2fkyont04TAkoXx/cViUbs0VzOtXHWSq/NHOZwRg/z29doFK4nZ4Qr//MGljBvWix5lqt10vMJOMak5U0ehCUHWtJgwvC8NiQy7DyZ59PUtlIUCRT3W3WIhlai1J040WDhK6MQW96oMM+uzH1UShkXWqdvWQH2LUq857XuqzTQtWLujAcOyAEF9S4b/+uxH3dCfZet2u8UyXl6/FwEuT2YtfZfPjOpLLKQze8oI7p48oqi8YmMiy5DvPsOFc17mxoWr+PyY/u5ISnOquJe5OZUlZVgEda1APvGGx5QcnWlJvvroCjc8rD6RLZDLLFVAKWFLmVlWJwhM7SBEAxqV0aAbIhENqA5hn8oIlqW8qa9u3EdQEwzpVUHasJBSKUwkDZN4yqBmQHduXLiKnzy3nstr+xMJCDRRWPxr/vQaV3VjQHWMWDjAWFsOL6RrSg4uqz6IDEuSSJt0iwVt3W6T0/pUEtaFqjkxfijxlMHm/cp5tudginOG9KQiHKAsFKAspLO9Psn3Pn0GibTJMMeZEQ6oAi5p5RBoSmaZdtZADFMlPDtSdWXhAFnLYsv+OJaEVNbEsFTBlGTWwrSUVrajB52xJFlTzXO0s1vSBpbdeU6kDaIBnUwn4FqbPdBCiLVSypFCiPOA2cAc4LtSyrPb08C2QAhxKTAf0IHfSCl/XGrd/C/QuB2A/7XzB7vz1Feh5uoROl8+sZASKC8L6fZXu5J5qYwGyWRNJMqbCurLytmXLiBtSmJBnZShMk6dYYh01so5pgq+V9PJrEXQLm3p7NOSrevGU6aKIcoqm/L3qQn10Hq/2AIBjWTGwussCAc1d9uEreVYGVVe3aCmvgKdhAjnKzEa1PnIfz5X1BNXzEPnlA53vEYPXlULUhLQNTKmhWFaBVJl1bEQqWyrVySRNnPs9oqs37XkHWoGVDF5dD9le0p5UBJZ0/U0xTzXyLkG4YCGrhf9jux03pJExqAxkWXN9gbX0+DlqnN+OZwN6jSnDSrCARJZk7JQgN0Hk4QCGhXhAJbEHS4DOJg2uMX2UN156UdUDJ+976yhuAmtx82vBuXwbV9zmoxh0bdbRNlkN9wg3O28+3J0PqNB3e1senkaDrbyNp+vus2PfU1pQkGNoKa5+0vYFSy9SjTQyklvufJ8T/Lk0f0L+CqEklvK92ZXhgOE7CQXL89Uxrmw96+RNJRHxxnpaU5lKQ8FSBkqncSJDyzGVYBIcc3dTsdVryTopcP7cPmY/mj2qJ1zv1MZ09WI9fLWkDKnPXOWNbZkCOiaqyjRs0xVmmzK8+Y/OGMMGbs98XpajayJhfIaNdo8d0bJrrFHyXYfTGJJ6NstgmlamLJ4O2rKQh4W42wxnnrb0vzpgCb4V5Ma1UxmDA4ms5zULeqOiDgjiw5vHc4aWcWfFsMia1oFI4MqRKmVW80pw60q5+Wp0x5ogGE/n3/fsJfBvSrs0QGTp1Zt59Iz+9KrMnxIrhZpWzsdT48m4rbUmgCEEFhSsq85Ra+KCFlTUhULYmRNMpYaeXBih3c3JulbFVXbCsGO+hZOqlAlQpx1TcMi7eFg2L7IFnAwpZQxQN07x0vrQEpJOmupqps4N8G5FdLeTpC1VPvWnMzStyrqetATTt8hqJOxC5mkTYugpmFJ6VaVFfZfwG4Hf/faFrtSIoQ14dpfCk574JW9S9mCBkbWdPfrnHvADsdsJxxdDzStCYOfBh6QUv4ZCB2pVUcbQggd+CUwEfgoMF0I8dG2bh8L6Ywc0I2MaZHIGtQnMjz82mZ2NqS4bsFKbnu8jvpEht+9toWdDSkesf8veH0ruxpT3LhwFY+9sRXDUrFIiaxB1lI14lOGRdayOJg2WL5pH/XJDA/b2//utS3UxzM5x6yPZ3KmQaoSnFmDRNYgbVrEM4Zr36Ovb2FnY6tN3n1mLYumlBqedDwKB1MGyYyp9p/IuPutj7ee3+9e20JLxuBbT9Rxw2MrqU9kuO3xOq5d0Dp93YKV1Ldk3LhEBx87tbpknN2uxqTrNVLD54IdDQm+9ugKWtIG7+46yK+uqnUTZBa/uY1djSkefm2Lx4YVOXanDItU1uTVjXv5j4lnMHl0P9ebeb1t+yPLt7jn75zfzoaUew2a0wam2RmiqQ6PSFBnw54mzhnSk5SRy1XnvAo426i4urPRXvZEHeGgRjigufy0pOogpE3JLYuU5NgdEz7Ckyu2u/tWIT25z0g8ZWBY0uV6PKP0z3/xwkbSWYs/rdrBrsYUjyzfQn1LhkY7IS9/X07irsOr1zbuy7lHDked3/l8dfhx6+N1ZA2Lh1/b7O4va1rc9ngds5a+26akxURaleJVyjc7cvgqBDyyfCvhoMaDeVzd39L6bHjvx+9e20KTfZ1Shsmmvc3Ut2RYtm636zWvT2RIG1ZOcmgxriayBs2pbJfw8mmaoEdZiN9eM5bJNf2UF8xzvx2OPrK8kLfe9sy7LJE1uf6xlXzriTq6xYJkLUnWKhx9Qghutnl82ydP5ztPv8N7uw6SsZWWUjbPvaNk1z+2Un2sa6q4UyprkrSfj2LtqIUs4GExzhbjqbctzZ9uShksrdvpeuIlaoTT4e/N44fmVL/82KnVHIinaUwZSJQXNBzQ+PXMWjbcM5Ffz6xFE6KAWwte31qUp1nLImVYyrsnIJk1OWdIT5ev1y5YwcThfXn87W2H52oXaluPBiK6RjSgE9IEQaEUOfp3U/Ju3s5zLBzANCyMrEkibdCrLKTCIex5TufZAvWxZlg05nGwMaW0kzWgKhIgpEEkoBGwj2tkTffPNCwCAqIBnWhAJxLQiQQ0+0/9DukaZUGdiCY4qVvE9fIaWdOVizOyJhoqPKssoKlj6srDraHeIc560YDODZ8YrJL+7O2d/Tl/ibSBkTVVxzlrEhBqfznHtkufg/JQhzVBxpJkLOnqR3ckjqQDvVMI8SvgCuAZOx66M2QPnAVsklJullJmgMXA59q6cSJjMmZgNY2JLPGUyR1Pri1apcyZl///jc0H+Jz9gnD2ISXub2lnn58zpCe3LKrL2b4lY+YcsyWTO21ZuPt09pu/j/z/zj6lpHDYerHKhp8wvC93PLnW3W+LnXDg7OOOJ9dy44VD3aHlYtO32EP3+RnZS1bvLJCum28P5TtJZVJCyrAYUF3m7rdmQHeuf2ylKws19/mNJe1x7G5MZDEsyTlDevLNx9XQZv75ThjeNyfZK/88GxNZEtmuISaTyJjUDOhelKtt4ayzLJ5SXgSHn04n2FE/cDR1vdtLKDiupHVbZ5lTursYL73befeVf88cxRkvTx2O3vHk2kPyNf+ee5d5kxZ/ekVh0pfiqcg5vsPXjCmpb8mqMIGWLDfkcTX/OF77bllc516nIb0qCmy8ZXEdzSmjIDEx/xzjKZXs3FX4qtkezYZEtuB+53O0Lbz1bmvZCVexIglWjrqBV2FjYI8y5eSwPVzFkrIsCbc9rnjvfT6KtqMWBTwsxdkjbVcPxd9rxg1i2brdOW1uNKhzy+I6NfRtSRpasggE2w4kMC3JTX9YfUhueXkq7fM2LIlpSZpTatQrn6+Ha1ed9rmrcPVoIGmYJA2TtM2zlrRB2k4KdKadUQBnHU2InP/ev6xnuhgHnWUZ+79zbO/+vX+OfYf6c+zVhMg5F+9fLBwo+ts7v9i2+fOcczalLJjvrJs07FF1z/qxcIBYONCe3uc240gisK8ALgXmSCkbhRB9UcocAAghukspG462gW1AP2C75/cOICesRAhxHXAdwMCBA3M2jgV1sL/aoDXe0WlgnelS/wE3acCpiuPc14pI0K1y5qgUeLd3UEp7U3jscn4fyhbvPktVVyuPBBgaLndVDfKX5+/rUNPlkQAPzRzrFlm5a8k7LKnbxaptjZ5KgyqZBoSrGdqzPIyX+97r0xZ7vHY7+znU+ZTan7NNJ3gOXRyWqyHd5VkpPh6Kq15uOfx0sHGPiksutr2zvve43m2dZV7981Jcyt+XF8WeFe999f4+HF/zf7+9tZ5hfcp5aOZY7lryDpYkpzhBD7tYQATd3c7LV++zeCg5sGLX3mkjStl4uGfRu05n4euhuOogFtIL7h8UcrTYvGLLnGnnGjh5Ad4EK2eedxvvvSu2zcfs+FEvR8vCgUO2o8XeGaU4eyTt6qH463ygfn38MDbtjTNn2XrmXlnD21vrXXtiIWX3gFCspP2lrrWSV2ttF2JFkrTa2q5C5+BqW3h6NJAfnuCEZHinVcXA1vCNtqLYPSwVDuEk3bUXnMIo+b/z57fn8YAcqdCOQpvPVkqZAJ72/N4N7Pas8gLQEUmFxZiSM8Yppfw18GtQMVDeZZomaE5lORBXWs/eBKc3Nh9wp0v9f2PzAZqSqpp5Y0L9r4oF3d9VsWBOaIN3e0f+x/vbO11dFnI1qJ39HsoW7z6ddfNfEvGUwe6DqYIh7LRhFezLa1ux6aZkFk0oTweoIgigdHUd9YJfz6x1vRj3TR1JS0ZpllbFgu4XpPf65NtbzB6v3c61PpSOcKn9Odv0KA91eElQB/8uV9vCWWdZOKBRFQu6/NTseL1l63Zz7+Uj3YRa7/Z9KsMuv73zHDjLlq3bzUnnDirKy1L7yr/n+c+Kc18djm6vT7SJr/m/nX03JlSZ2zc2H8hRvXhgxhh0TWBa0tXwTWVN9sfT7rOYNiz3XIpxtdR9cdoITYiiNpbibrHr0LMi3CmqEh6Kqw4SGZP9za1iTaU42hbeeqf7dovY8Zca900dmaMKoQm4b2orj9/YfICWtIFpSXRNkMiYBdvcN3WkmyDq7L++JXPIdtThw6Hu1b/Trh6Kv9vqE0yY94q7/JzBPdznxRnqPhDP0L0sRMMh7C91rZ3noyoWRNeE29akPbkObW1XgU7RtraFp0cDLW0IKdCF4t+Rotg9bMvx2gO6EDnHdn7nz2/P4wGdopT3EcnYHXJHQqyWUo4+Kjs7suOeA8ySUk6wf38HQEo5u9j6xZIIDDt+07AsUlmLp1fucKXoHCkhZ96S1bn/73xqrZsko4ZpVaazbme/CgHprMXKD1QZ5cVvbnO3n37WQISGe8zpZw0kbbZOR8M6hintjG4I6irJcPFb24ra4t2ns25OspNdVOTh17YwpbY/kaDqbEsLFnn2OaW2P3OWKZH++6aOLDo9Z+ooyiOqWpBjYyprFcgbVdlZtS0ZEyefJKBpBDTBig/q+dXft3Df1JG88N4eJtrDiF6pqmL2OHY7+3l14z5GD6wmEtS40SNL5sgA3v/ippz9ec+zPBygIhwolkjY4b6TYlw1TYvmdCFXvXwsxVln2V2fOYOQrmFJ5SFykkESGZPFb23j8tr+hAIaizxcvfrcU+2QjdbjXn3uqehOfJzVyoF3djQy5pRqHn8rl+sOt/P3lcOZaTWs/KCeM0+ucu9RJKi5HJ1S25+wrpXka/4993J2/vQaN5G3GFdjQaVB+uL6vdSeUk04qJE1LcUzXZDOWvz+fz/gix8fiGHCNx/PlaFzjpPPs2lnDXQVNTbubaZfVSzHxvnTatA1wU1/WF3Afe85RuwESUdZxYNOyVVoLVKVf7/zOdoW3jqSbn0qw9z9+eEgVYxowrBotGUtt9cnOLkyTMKwSBsqoe3mRXXc9emPcEqPMnd9w7KIp0x3m+6xIEFdozlt8Phb2/jKeYNy2u+CdjSsk7R1c/Pb4HzOHkm7ejj+agK+8YdCGcraU6rpFgkgUeFxQkDWtIgEdA4mc+VR87nl5Wk4qCGlSk7UNEEyY6JrggWvb83h6+Ha1UhQI6Bp+W1rp+Xp0YBhWFhW+8R8N+bLcE6roSrS8R/RHQlN0wi0nwZ5m7h6NDvQq6SUx9wDLYQIABuAi4GdwNvAF6WU7xZbv9QDZBgWGTNXEaOYCkd+1rWzTsaO9XLye7wqHE4WdzSoNGDbqsKRzlroHhUOZ79Zq7QtR0OFw8kWd2vSF1Hh8B7Ha6PlUVQIawILCOYd01F9CAZzj5HKmFhS5mSLe7VJS6twqHVCdilQ53yjAd0VYD8eVDgcmKbleoS8XC2qwlGEqynbA+KoeDj3Q9LKF+deeLl6OBWO/GXFeOndzirCmQ+jwuGoGBgWdlhRLmedZJhiXA1qAg3QPHxy4PDbOa4uhDvtcEvPezYOp8KRw9OgTsawCrjflVU4vLAslUBJ3nXP52hbeOtco1TGRLc1ZDXIUSiIBnQsS6kWeLf3qnAYstUOhzcBXSNjWO7xDePYq3CEPGoF+bxyVDKKPS9OopYhW59rB/lcLfXuKKXCkd+uhjSl2HA4rp5oKhzQvp3oYiocJyraufMMJ0oH2j72ZcA8lIzdw1LKe0qt294PkI/jBh3eQvlc9dFG+Fz10RXg89RHV0GbuHo0xwA67OGQUj4DPHPYFX348OHDhw8fPnz4+JA4rA9cCDHeMz0ob9kUz8+Lj6JdPnz48OHDhw8fPnx0SrQliGSOZ/qpvGV3ORNSynp8+PDhw4cPHz58+DjO0ZYOtCgxXey3Dx8+fPjw4cOHDx/HNQ6bROhNDsxPFOzIxMF/F0KIfcAHx/iwPYH9x/iYpdBZbOksdkBxW/ZLKS/tCGMcdBBX2xud6b53BNrj/H2u5uJ44FhXPwe/TT08uuI9PlFsbhNX29KBbgReQXmbz7ensX+fJ6XsfoSGnXAQQqyQUo7taDug89jSWeyAzmXL8Y4T/Vqf6Od/LHA8XOOufg5d3f5jga54jXybc9EWFY7Peabn5C3L/+3Dhw8fPnz48OHDx3GNw3agpZR/d6aFEL3sefva0ygfPnz48OHDhw8fPjor2iJjJ4QQ/yWE2A/8E9gghNgnhPh++5t33ODXHW2AB53Fls5iB3QuW453nOjX+kQ//2OB4+Ead/Vz6Or2Hwt0xWvk2+xBW2KgvwlcBlwnpdxizxsMPAA8J6X8WXsZ58OHDx8+fPjw4cNHZ0NbOtCrgU9KKffnze8F/FVKObod7fPhw4cPHz58+PDho1OhLTrQwfzOM7hx0MGjb5IPHz58+PDhw4cPH50XbelAZ/7NZSc0hBADhBAvCSHeE0K8K4S4pRPYpAshVgsh/l8H21ElhPijEOKf9vU5p4Ps+KZ9b9YJIRYJISIdYceJAiHEViHEO0KIOiHEio62pz0hhHhYCLFXCLHOM69aCPE3IcRG+78vAXqU0dU41tV5UsL+WUKInfY9qBNCXNaRNh5rCCEuFUKsF0JsEkL8R5HlnxBCrBJCGEKIL+QtMz3Xbemxs7pNdt8mhPiHEGKtEOIFIcQpnmVX23zdKIS4uovY/KGvdVtCOEygpdgiICKl9L3QRSCE6Av0lVKuEkJUACuByVLKf3SgTbcBY4FKKeVnOtCOR4FXpZS/EUKEgJiUsvEY29APeA34qJQyKYR4AnhGSvnIsbTjRIIQYiswttiI1vEGIcQngDiwQEo53J73E6BeSvlju7HvLqW8syPtPN7Q1TjW1XlSwv5ZQFxKecLJ3AohdGAD8ElgB/A2MN373hdCnApUArcDS6WUf/Qsi0spy4+lzfZx22L3RcCbUsqEEOJG4EIp5ZVCiGpgBapvIVF9nVopZUNntdle9qGv9WE90FJKXUpZWeSvwu88l4aUcreUcpU93Qy8B/TrKHuEEP2BTwO/6SgbbDsqgU8AvwWQUmaOdefZgwAQFUIEgBiwq4Ps8HGcQUr5ClCfN/tzwKP29KPA5GNqlI9Oh67OkxL2n8g4C9gkpdwspcwAi8mtpYGUcquUci1gdYSBJdAWu1+SUibsn/8L9LenJwB/k1LW253mvwHHouLkh7H5qKAtIRw+PiTsL87RwJsdaMY84Nt0/EM7GNgH/M4OJ/mNEKLsWBshpdyJKgS0DdgNHJRS/vVY23GCQQJ/FUKsFEJc19HGdAD6SCl3g/rABnp3sD3HI44Hjh0PPLnJHjZ/uDOHoLQD+gHbPb93cGSOs4gQYoUQ4n+FEMfyw+lI7f4q8Oy/ue3RwoexGY7CtfY70O0MIUQ58BRwq5SyqYNs+AywV0q5siOOn4cAMAZ4wFZwaQEKYpfaG3aj/jlgEHAyUCaEmHGs7TjBME5KOQaYCHzdHv714eNowudYx+MBYAhQg3JO/LRjzTmmEEXmHTpONhcD7bLTXwTmCSGGHB2zDos2222/J8cC9x3ptkcZH8ZmOArX2u9AtyOEEEFU5/n3UsqnO9CUccAkOz5wMTBeCLGwg2zZAeyQUjre+D+iOtTHGpcAW6SU+6SUWeBp4NwOsOOEgZRyl/1/L/An1BDciYQ9dm6EkyOxt4PtOe5wnHCsS/NESrlHSmlKKS3gIbrmPfh3sQMY4PndnyMIDfTwdzPwMmrk+ligTXYLIS4BvgdMklKmj2TbdsCHsfmoXGu/A91OEEIIVJzve1LKuR1pi5TyO1LK/lLKU4FpwItSyg7xtkop/wVsF0Kcbs+6GOiIxMptwMeFEDH7Xl2MilP30Q4QQpTZybTYITufAtYdeqvjDksBJ0P9auDPHWjLcYfjiGNdmidO59/G5+ma9+DfxdvAMCHEIDtBfhrqfh4WQojuQoiwPd0T5fg6Vu/Gw9othBgN/ArVEfV+1C0DPmXb3x313C3rzDYfrWsd+BDG+zg0xgFXAe8IIersed+VUj7TgTZ1FnwD+L1N+s3Al4+1AVLKN4UQfwRWAQawmq5ZprSroA/wJ/WtQgD4g5TyuY41qf0ghFgEXAj0FELsAP4L+DHwhBDiq6gPuKkdZ+FxiS7Hsa7OkxL2XyiEqEENp28Fru8wA48xpJSGEOImVAdSBx6WUr4rhPgBsEJKuVQI8THU6Eh34LNCiP+WUp4JnAH8SghhoZybPz5Wql1tsRsV/lAOPGk/Y9uklJOklPVCiB+iOrQAP5BStnti6YexmaN0rQ8rY+fDhw8fPnz48OHDh49W+CEcPnz48OHDhw8fPnwcAfwOtA8fPnz48OHDhw8fRwC/A+3Dhw8fPnz48OHDxxHA70D78OHDhw8fPnz48HEE8DvQPnz48OHDhw8fPnwcAfwOtA8AhBDPCSEahRD/r6Nt8eGjGIQQNUKIN4QQ79plgq/saJt8+PDhoytDCFErhHhHCLFJCHG/XRfBRxvgd6B9OLgPpVvtw0dnRQKYaWumXooqv1rVwTb5OMEhhDCFEHX231LP/EFCiDeFEBuFEI/buvc+fHQ2PABcBwyz/y7tWHO6DvwO9AkGIcS9Qoj/4/k9SwjxLSnlC0BzB5rmw4eLYjwFPiul3AhuGda9QK+OsdCHDxdJKWWN/TfJM/9e4GdSymFAA/DVjjHPhw8FIcQNno+9LUKIl4BKKeUbUhUFWQBM7mAzuwz8DvSJh8WAd+j7CuDJDrLFh49SOCRPhRBnASHg/WNsl48TAKUcDUewvQDGA3+0Zz2K3TERQjwihHhACPGSEGKzEOICIcTDQoj3hBCPHMXT8OEjB1LKB6WUNcDHgB3Ai/Z/BzuAfh1hW1eE34E+wSClXA30FkKcLIQYBTRIKbd1tF0+fHhxKJ4KIfoCjwFfllJaHWmnj+MWR+JoiAghVggh/lcI4XjvegCNUkrD/p3fMemO6mB/E/gf4GfAmcAIuwy2Dx/tifmoznOxUvd+eeo2ItDRBvjoEPwR+AJwEupF8jYYBQAAAiZJREFU4cNHZ0QBT4UQlcBfgLuklP/bgbb5OI4hpVwthOgthDgZFSZ0KEfDQCnlLiHEYOBFIcQ7QFOx3Xqm/0dKKe1190gp3wEQQrwLnArUHbWT8eHDAyHENcApwE1AH6C/Z3F/YFcHmNUl4XegT0wsBh4CegIXdLAtPnyUQg5P7SSsPwELpJR+2JGP9kabHA12PD5Sys1CiJeB0cBTQJUQImB7ofM7Jmn7v+WZdn7772Uf7QIhRC1wO3C+PXq3WwjRLIT4OPAmMBP4eUfa2JXgh3CcgJBSvgtUADullLsBhBCvooYoLxZC7BBCTOhIG334KMLTK4BPANd4EmH84W4f7YXFwDRUJ/qPxVYQQnQXQoTt6Z7AOOAfdkLWS/a2AFcDf253i334ODRuAqqBl+z28zfAjcBvgE2onJJnO9C+LgX/S/cEhZRyRN7v8zvKFh8+SsHLUynlQmBhB5rj4wSClPJdIUSOo6EIzgB+JYSwUA6pH0sp/2EvuxNYLIS4G1gN/Lbdjfbh4xCQUn65xKLhx9SQ4wRCfSj78OHDhw8fPnz48OGjLfBDOHz48OHDhw8fPnz4OAL4IRw+fPjw4cPHISCEGIGSTvQiLaU8uyPs8eHDR8fDD+Hw4cOHDx8+fPjw4eMI4Idw+PDhw4cPHz58+PBxBPA70D58+PDhw4cPHz58HAH8DrQPHz58+PDhw4cPH0cAvwPtw4cPHz58+PDhw8cR4P8DhiSX8BruESgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x180 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(combined, x_vars=['v1', 'v2', 'v_50m', 'z0'], y_vars=['DE_solar_generation_actual'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x160d3561128>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x180 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(combined, x_vars=['SWTDN', 'SWGDN', 'T', 'rho', 'p'], y_vars=['DE_solar_generation_actual'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There seems to be a linear relation between the wind generation and the wind velocities v1, v2 and v_50m, but not the other quantities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\envs\\renewable-energy-weather\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x160d33ffcc0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='v1', y='DE_wind_generation_actual', data=combined, kind='reg')\n",
    "sns.jointplot(x='v2', y='DE_wind_generation_actual', data=combined, kind='reg')\n",
    "sns.jointplot(x='v_50m', y='DE_wind_generation_actual', data=combined, kind='reg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, there seems to be a linear relation between the solar generation and the top-of-the-atmosphere and ground radiation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\envs\\renewable-energy-weather\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x160d46c2a90>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAboAAAGoCAYAAAAw6SAVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzsvXmcXFWd9//+3ltVXd3pTjpLd8hKCAlJQEiAsA0QAsgALuBgRkGUIC7RBwR1VPDRhxnR+Q2MjjM/HRwDIqCooLjAOIAPjoaMQNjXkECSJiSdrbvTW3XXeu89zx/3VnV1d3V6Sa9V33de9aqqc5c6t7pyPvd7zncRYwyKoiiKUqxYY90BRVEURRlJVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqQmPdgTFG08IoijKRkbHuwERALTpFURSlqCl1i25c8vNndhVs/8hp80e5J4qiKBMftegURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqVOgURVGUokaFTlEURSlqQmPdAcXn1fpWfrZpF4+8tg/HM1REbJbNmsyqY2qoLNM/k6IoylDREXSMSTse3/jPzfzsmV2Uh20uPv4I9rYmaItneHJ7E8++3cx5S2s5e/GMse6qoijKhESFbgw52JHisz97kWffbuZTZx/F585fzORomJ8/swuAxliKP2zez2Ob97O3LcEHT55LNGyPca8VRVEmFmKMGes+jCVjdvFtiQyX37GJusYO/nnNCVy6Yk5uW1boAIwxbHyrkT+8cYCT5ldz98dPZUp5eCy6rCjK+EPGugMTAXVGGQMSaZdP3PMc2xti/Gjtym4i1xMR4ZwltXzk1Pm8tqeNj931DG3xzCj2VlEUZWKjQjfKuJ7hup+/yAu7Wvi3D5/I2YtrBnTcu+ZM4YcfPZmt+2JcedcmWuPpEe6poihKcaBCN8p88/dv8N9bG7jl0nfx3hNmDerY85fNZP3HTuatAx185M5naOlUsVMURekPFbpR5J4n3+aep3byybOO4mOnHzmkc5y7tJY7r1rJ9sYOrrhzE42x1DD3UlEUpbhQoRsl/uvVfXzj929wwbEz+ep7lh3Wuc45poa71q5k58FOPnD7k7x1IDZMvVQURSk+VOhGgb9sa+LzD7zEyiOn8r3LT8S2Dt9R6uzFNfxy3RmkXY8P/uApHnt9/zD0VFEUpfhQoRthntzexKd/+jxH11Tyo7WnUB4Zvji4E+ZW89C1Z3LkjAo+c98L3HD/SzTrup2iKEo3VOhGkN+/uper736WeVMr+Mk1IxP/Nru6nN/+rzP5wruP4b9e3cfZt/2Jf3p0Cw3tyWH/LEVRlImIBoyPACnH5V8f38b6jTs45chp3Ll25aBELj9gPJ+PnDb/kMe9dSDG9/+0nf96dS8AK4+cxvnLalk+r5pjZ09mclQDzRWlyNCA8QGgQjecJzOGTXXNfOM/N7N1f4wPr5zHNy49btBpu4YqdFl2NnXy25f28IfN+9m6v8tRpSJiM6OyjJqqMmZURqgsCxMJWZQFj0jIImIHz8EjbAfbbP91r/ZQXrsd7BcSwrZFyBJE9P+hoowg+h9sAKjQDQONsRQb3mzgvmd28cruVmZOLuOfLjue85bOHNL5+hK6odCRctjbmmB/W5JYMkMs5dCRcuhIOqQdD8czOJ6H4xpczwy7iRu2u0QvK4qhoC2S9zps+QJpWxa2gG0Jlkju2bIEWwie89os/PfZ9txx9Hjf1W5JXltw3KHaRbKvpeCw0tdIU0jk+9630HkLHC/+o+ua/M+xgj5mt1l512NJ3uue7VbXa8k7pxWcK3vdesMybtE/zABQoRsEzZ1pnn27maaOFI2xFHVNnby1P8abgXv/kdMr+NTZC1lzmMmXh1PoBoMxBs+A43q4nsHxTO7Z8fy2bu1u73bHM3jZZ2Ny23KPAm2e6TqnZwzGUPiZrvfZvvbcnm3PPivDgyUQsiwsy3+2LSEU3BCELMm9t3MPq8d7X4hDdtfNRLbNtrtuJPpsy9tm9fysvLbctgJtXZ/ri7qQ/xyIO4D4NxlZ8Zfg/qbXa7puCMg/R3C8/z44IV2/V8/r/rv1gt/qoppKplQMenlBhW4AaPWCQbDtQIzP3PdC7v3cqeUcM7OK950wi3OX1nLc7MkT+s7Xt1zAtoqnQkJP4cs907u9p7B69G7vdf6+P3jg+w7s8Nw5DFmxD/pH/g1A92sz5O1nuo71TP55st9J3n49zpsdjD2va2DOH6R7t/slqLrt02NwN8ZPidezref589uK+QbmrrUrOX/Z0GaBlENT0hadiDwGjMdCbzOAprHuxDBSTNdTTNcCej3jnf6up8kYc9FodWaiUtJCN14RkeeNMSvHuh/DRTFdTzFdC+j1jHeK7XrGCo2jUxRFUYoaFTpFURSlqFGhG5/cMdYdGGaK6XqK6VpAr2e8U2zXMyboGp2iKIpS1KhFpyiKohQ1KnSKoihKUaNCpyiKohQ1KnSKoihKUVPSQnfRRRf5GZX0oQ996GNiPgZMkY53A2JUhE5EoiLyrIi8IiKbReQbQftRIvKMiGwTkQdEJBK0lwXvtwfbF+Sd66tB+5sicmFe+0VB23YRuWkg/WpqKqZMQYqiKH1TyuPdaFl0KeA8Y8xyYAVwkYicDtwG/KsxZjHQAnwi2P8TQIsxZhHwr8F+iMixwOXAccBFwA9ExBYRG7gduBg4Frgi2FdRFEUpcUZF6IxPR/A2HDwMcB7wYNB+L/CB4PWlwXuC7eeLXxbgUuB+Y0zKGPM2sB04NXhsN8bUGWPSwP3BvoqiKEqJM2prdIHl9TLQADwO7ABajTFOsEs9MCd4PQfYDRBsbwOm57f3OKav9kL9+LSIPC8izzc2Ng7HpSmKooxLdLzzGbV6dMYYF1ghItXAb4FlhXYLngsVdTOHaC8k2AUXKo0xdxCk1Vm5cmWvfTKZDPX19SSTyUKHK8qgiUajzJ07l3B40EU1FeWw6G+8KxVGvfCqMaZVRDYApwPVIhIKrLa5wN5gt3pgHlAvIiFgCtCc154l/5i+2gdFfX09VVVVLFiwYEIXUVXGB8YYDh48SH19PUcdddRYd0dRSpLR8rqsCSw5RKQceDewBfgzsCbYbS3wUPD64eA9wfY/GT8p58PA5YFX5lHAYuBZ4DlgceDFGcF3WHl4KH1NJpNMnz5dRU4ZFkSE6dOn6wyBoowho2XRzQLuDbwjLeCXxpjfi8gbwP0i8i3gJeCuYP+7gJ+KyHZ8S+5yAGPMZhH5JfAG4ADXBlOiiMh1wB8AG/ixMWbzUDurIqcMJ/p7UpSxZVSEzhjzKnBigfY6fI/Jnu1J4G/7ONc/Av9YoP0R4JHD7qyiKIpSVJR0ZhRl7HnsscdYsmQJixYt4tZbby24zzvvvMP555/PCSecwOrVq6mvr89t+8pXvsJxxx3HsmXLuP766xmLslPNzc1ccMEFLF68mAsuuICWlpZR74OiKH2jQlciOI7T/05DwHXdwzr22muv5dFHH+WNN97gF7/4BW+88Uav/b70pS9x1VVX8eqrr3LzzTfz1a9+FYCnnnqKJ598kldffZXXX3+d5557jieeeGLI/Rkqt956K+effz7btm3j/PPP71OwFUUZG1Toxhk7d+5k6dKlrF27lhNOOIE1a9YQj8cBeOGFFzjnnHM4+eSTufDCC9m3bx8Ad955J6eccgrLly/ngx/8YG7/q6++mi9+8Yuce+653HjjjTzxxBOsWLGCFStWcOKJJxKLxTDG8OUvf5l3vetdHH/88TzwwAMAbNiwgdWrV7NmzRqWLl3KlVdembOWFixYwC233MJZZ53Fr371qyFf67PPPsuiRYtYuHAhkUiEyy+/nIceeqjXfm+88Qbnn38+AOeee25uHxEhmUySTqdJpVJkMhlmzpwJwCc/+Umef/75Xue6+uqr+cxnPsPZZ5/NMcccw+9///sh9z/LQw89xNq1vu/U2rVr+d3vfnfY51QUZfgY9fACpX/efPNN7rrrLs4880yuueYafvCDH3DDDTfwuc99joceeoiamhoeeOABvva1r/HjH/+Yyy67jE996lMAfP3rX+euu+7ic5/7HABvvfUWf/zjH7Ftm/e///3cfvvtnHnmmXR0dBCNRvnNb37Dyy+/zCuvvEJTUxOnnHIKq1atAuCll15i8+bNzJ49mzPPPJMnn3ySs846C/Bjw/7yl7/06vvPfvYzvv3tb/dqX7RoEQ8++GC3tj179jBvXldUyNy5c3nmmWd6Hbt8+XJ+/etfc8MNN/Db3/6WWCzGwYMHOeOMMzj33HOZNWsWxhiuu+46li3zwzN/9KMf9fn97ty5kyeeeIIdO3Zw7rnnsn37dqLRaG57LBbj7LPPLnjsz3/+c449tnt2uQMHDjBr1iwAZs2aRUNDQ5+frSjK6KNCNw6ZN28eZ555JgAf/ehH+d73vsdFF13E66+/zgUXXAD4037ZwfX111/n61//Oq2trXR0dHDhhblc1/zt3/4ttm0DcOaZZ/LFL36RK6+8kssuu4y5c+fyl7/8hSuuuALbtpk5cybnnHMOzz33HJMnT+bUU09l7ty5AKxYsYKdO3fmhO7DH/5wwb5feeWVXHnllQO6zkLraYU8FL/zne9w3XXXcc8997Bq1SrmzJlDKBRi+/btbNmyJbdmd8EFF7Bx48acUPfFhz70ISzLYvHixSxcuJCtW7eyYsWK3PaqqipefvnlAV2DoijjHxW6cUjPwV5EMMZw3HHH8fTTT/fa/+qrr+Z3v/sdy5cv55577mHDhg25bZMmTcq9vummm3jve9/LI488wumnn84f//jHQzpvlJWV5V7btt1tnS//vPkMxqKbO3cuu3d3ZW6rr69n9uzZvY6dPXs2v/nNbwDo6Ojg17/+NVOmTOGOO+7g9NNPp7KyEoCLL76YTZs29St0hb7ffAZr0c2cOZN9+/Yxa9Ys9u3bR21t7SE/X1GGgx8+sZ3PnLNorLsxIdA1unHIrl27coL2i1/8grPOOoslS5bQ2NiYa89kMmze7IcKxmIxZs2aRSaT4Wc/+1mf592xYwfHH388N954IytXrmTr1q2sWrWKBx54ANd1aWxsZOPGjZx6aq+IjwFz5ZVX8vLLL/d69BQ5gFNOOYVt27bx9ttvk06nuf/++7nkkkt67dfU1ITneQD80z/9E9dccw0A8+fP54knnsBxHDKZDE888URu6vKqq67i2WefLdjHX/3qV3iex44dO6irq2PJkiXdtmctukKPniIHcMkll3DvvX4O8nvvvZdLL9V84srI4Xke//TIFm599M1BHdcYS41Qj8Y/KnTjkGXLlnHvvfdywgkn0NzczGc/+1kikQgPPvggN954I8uXL2fFihU89dRTAHzzm9/ktNNO44ILLmDp0qV9nvff/u3feNe73sXy5cspLy/n4osv5m/+5m844YQTWL58Oeeddx7//M//zBFHHDEq1xkKhfj3f/93LrzwQpYtW8aHPvQhjjvuOABuvvlmHn7YT26zYcMGlixZwjHHHMOBAwf42te+BsCaNWs4+uijOf7441m+fDnLly/n/e9/PwCvvvpqbmq3J0uWLOGcc87h4osv5oc//GG39bmhcNNNN/H444+zePFiHn/8cW66aUDlEBVl0DiOx02/eY31G+sGfWxbIjMCPZoYyFjEHY0XVq5caXp65m3ZsiVnFYwFO3fu5H3vex+vv/76mPVhotPe3s4nPvGJgh6hV199Ne973/tYs2ZNgSNHjrH+XSkTn2TG5Yb7X+IPmw8AcP7SWu66+pQBp92pnr/UtO7aOmL9GyMGdP26RqcUHZMnTz6ssAdFGW/EEhk+9dPn2VTXDMBlJ83htstOGNQ5SjkTnQrdOGPBggVqzY0g99xzz1h3QVEGRWMsxcfvfpbX97YD8MmzjuKrFy/FtnXlaaCo0BXAGKOJeJVho5SXB5TD452DnXz87ueoa+pEgC9duIT/tfpoHZ8Gid4S9CAajXLw4EEdnJRhIVuP7nAdXpTSY8u+dj68fhN1TZ2ELOFbH3gX1567SEVuCKhF14O5c+dSX19PKZedV4aXbIVxRRkoz+9s5lM/eZ6WeIZoyOJfPrSc957QO8ZUGRgqdD0Ih8NaCVpRlDHjT1sOcN0vXiKedpkcDXH7lSdx9uKase7WhEaFTlEUZZzw2xf38JVfv0LGNcyojPCjtaewYl71WHdrwqNCpyiKMg64+8m3+ebv38AzMG9qOXd//FQW1VYO2/lL2e1AhU5RFGWM+e7/fZPv/Wk7AEtmVnL3x09ldnX5GPeqeFChUxRFGSM8z+Pmhzdz36ZdAJw0v5ofrT2FaZMiY9yz4kKFTlEUZQxIZ1y++KtX+P2rfgHl1cfUcPuVJzKpLDzGPSs+VOgURVFGmXjKYd19L/A/25oAuHTFbL6zZjnhkIY2jwQqdIqiKKNIS2eKj9/zPC/vbgVg7RlH8vfvPxbLUpEbKVToFEVRRol9bQmuuutZtjV0APD5dy/mhvMXa7aTEUaFTlEUZRTY3hBj7Y+fY09rAkvgH95/HFf91YKx7lZJoEKnKIoywryyu5Vr7nmOg51pIiGL76xZziUrNKXXaKFCpyhK0bJhawPrN9bx1oF2Mq4hErJYXFvFulULWb20tts+u1vizJta0W3bcPDk9kbW/fRFOlIOlWUhbv/IiZyzZPjOr/SPCp2iKEXJhq0N3PzwZtKOS3vSASCRdnlzfzvr7nuBsA2eJyQdF1vAsiz2tyV5cVcL164+muvffcxh9+GR1/bxhQdeJuV4TJsU4a61Kzlx/tTDPu9QKOHEKCp0iqIUHxu2NnD9/S/RmXYwBiwRwraF43m0xDNYAmmna/D3DOB52OK/vn3DDk6YW31Ylt0vnt3F13/3Oq5nmFMd5Z6Pn8rimVXDcn3K4FB/VkVRioqsJRdPu4QswTPgeAY3eBjANYUtHNeAAI7nsX5j3ZD7cPuft/PV37yG6xkW1VTyy3V/NfYiV8ImnVp0iqIUBdm1thd3tSBAyBKMAcEXt7TrDeg8adcgwIu7WtiwtWFQVp0xhm/91xbu+svbACyfO4W7rz6FaZVlg78gZdhQoVMUZcKTteLCtuAZX6iy1ttQDBnb8i27Lz/4CtMnRehIu/06qjiux1d+/Sq/eXEPAGcumsEdHzuZSWXjY5g1JWzS6dSloigTnvUb6wjbQkUkRMS2EISQbflrb4NEAEssppSHaYln2Nkcp7o8TEMsyc0Pb2bD1oZexyQzDut++kJO5N5z/CzuXrty3IhcqaN/BUVRxj39hQDsbvHFCGBGZRl72xJ47tAsGBHwjKGxI4Ul4Hog4otoPO2wfmNdt8+OJTJcc+9zPLezBYArT5vPLZcch22rHTFeUKFTFGXckS9slRGbg51pJpeHu1lWt0BOcOZNraAhlqQiEmJyeZh42qGxI33Iz4iGLNKuh2cgbAuO60/uWSKEbCGZMXgGoqGu9FzlYZv6lnjufWMsxVU/foYt+2IAXHfuIv7ur4/RlF7jjFG55RCReSLyZxHZIiKbReSGoP0fRGSPiLwcPN6Td8xXRWS7iLwpIhfmtV8UtG0XkZvy2o8SkWdEZJuIPCAiWtBJUSYg2fW2t5s6aOlM8+aBDho70nQknZxlFbalm1fkGQunUd+SYMu+duoaO2hLZPr9HNcYwpZgCcyfVkE4GA0dz+AGDingO5hkSWRc5k6tAOCdg52s+Y+n2LIvhiVw8/uW8aULl4xbkSvdFbrRW6NzgL8zxiwDTgeuFZFjg23/aoxZETweAQi2XQ4cB1wE/EBEbBGxgduBi4FjgSvyznNbcK7FQAvwiVG6NkVRhpH1G+tIOy4HO9M5KwugIZYilvQFLN+y2rC1gQdf3MO0SWEith8AnvWctPrQnLAtVJeHyXi+1ba/LYmLELay4QV+FhVLwDEGYwzxtEPGNaxbtZA39raz5odP805znLAtfOdvl3PNWQtH/Ls5LEpY6UZF6Iwx+4wxLwavY8AWYM4hDrkUuN8YkzLGvA1sB04NHtuNMXXGmDRwP3Cp+LdQ5wEPBsffC3xgZK5GUZSRZHdLnFjSwUKwAosL/HG6MZYCultWWUeUGZVRjq6t4thZU4gG5llfzijGGBo70v60peULm+cZDEJZyCJkC8fMrKK2qoxJkRBtiQy1VVFuueQ4KspsrrjzaRpjKSoiNus/djKXnTR3pL8W5TAY9TU6EVkAnAg8A5wJXCciVwHP41t9LfgiuCnvsHq6hHF3j/bTgOlAqzHGKbB/z8//NPBpgPnz5x/+BSmKMiTy1+GqykIYY+hIu7QnMiQzLmHbwg0sriydaZc39rURsiwuXe4nRc53RGlPZGjqSJF2vD4NmKyDSfa1JVZuXc5xDSIQsS3iaYdIyObWy07IrQX+8Y0DXPXjZ0lmPKrLw/xo7UpWLpg2Ul/RYZM/3pUfcfQY92bsGFWhE5FK4NfA540x7SLyH8A38W/Wvgn8C3ANUGjCwVDYAjWH2L93ozF3AHcArFy5soSNeUUZO/Lj3mwhV59takWIRNrBNeA6vhoJ3f8zhyyLqRVhHgxc+dsTGfa3JbEtIeN6hC2LkCWk+/C6tEQQyxc5xwMPA15W9Pzt5WGL2qpoN+/O37xYz1cefBXHM8ycXMa915zK0iMmj9h3NBzkj3eVc5eU7Hg3akInImF8kfuZMeY3AMaYA3nb7wR+H7ytB+blHT4X2Bu8LtTeBFSLSCiw6vL3VxRlHJBvwTV3pnFc3+pyPYMdZDFp6sgQCVmI12WR5Y/OFn7Gk5qqKI2xJN//8/bcmpoTmH6u8Sh87+vjGUN5yCbtekRDFjMqy2jqSJFyDJPKQnzv8hN7BYX/6H/q+Mf/2oIBFkyv4KefOI150yqG78tRRpRREbpgDe0uYIsx5rt57bOMMfuCt38DvB68fhj4uYh8F5gNLAaexf/1LhaRo4A9+A4rHzHGGBH5M7AGf91uLfDQyF+Zoig9KRTzBnSz4OJpF4CI7eeiNHlOJ+YQdoeHP325dX97zlGlLGQRsclZcL4h2PdJBJhcHuJAe4q0cdnTGs9Zid9es7ybyBlj+M4f3uT2DTsAOG72ZH5yzalM15ReE4rRsujOBD4GvCYiLwdt/xvfa3IF/q9yJ7AOwBizWUR+CbyB77F5rTHGBRCR64A/ADbwY2PM5uB8NwL3i8i3gJfwhVVRlFEkf0oyP+atImzlMpfUNXYg4gua4xks6RI3oXBOyp7Tl5m8acm04xG2rVxOy0LkHx+yLarLI7R0pkm7/hqgZzySGbfbMZ5n+NrvXucXz+4C4LSjpnHX2pVURsND+WrGnpKduAQxh7p9KnJWrlxpnn/++bHuhqIUDVfcsSkXuJ0lnnaob0mwuLYSEWHr/nYwhkygZz1FbCQIWwLB+tv6j57M13/7KvVtqdzn24Fr56KaSTz2hXPIuB6f+8VLPPb6fgD++tiZfP+KEykL2yPc00Ez4KC9SXOOMZ173hrJvowFA7p+zYyiKMqwke8BmcVxPdKux9b9McpCFhbg5snbQEXucAQx4xnKQhbXrvY9D/NFDrLrhPD2wTjxlMMnf/I8T+04CMCHVs7l1stOwOorKE8Z96jQKYoybOSn4gLfI3JPa5Jw4GySdr1eIQMjhUWXMEYCkXu6rjm33gZ0KZ3x1/YEjw/fsYnX9rQB8JlzFnLjRUvHbbYTZWCo0CmKMmysW7WQLz34CntaE7lCpwLMDoK7G2MpOl3fnrMFnH4EL2RlnUv8bCZ9hQwUwgAhW5g+KUJ1uR+OELYF1/Ny1qExfhLnLCLCa3vaEOB/v2cZn1o1zrOdDILSXaRSoVMU5TDo6WF5xsJpvpFkfI9Fz/iCBlAVDVMVDbNlXxsG8QWmH+EKWRYihumTItRURdm8p42BlU/tCrB1PIOI5JxhykI2KcfNCWi+m0LaNYQs4dYPnsCakzXbSbGgdSQURRkSWQ/Lhlgy52F5+4YdhGxh8cwqls2awqSIjWVJLnUX+OJljDlkGAH4InXUjEkYYzjYmaausYPBVr6xRBCgsSNFeeBIUlNVhiUWtgS15/L2j4YtfvjRk4tT5ErYpFOhUxRlSOQXO81WFXA9Q1u8q3LAjCDeLOm4ucTIVdFQLrSgr5Uv24LKMpvOtEvIsvA8Qzzt5jw1B4Jt+YI7uTxM2vFIBOEDVdEws6ujhG3LF86gE5OjIe79+Km8+9iZQ/g2xj8lrHMqdIqiDI3dLfGclZSlLGSRCuLgYkk/76Tj+pOI+9uT1FZF+faa5Sw9oqrP8wpQU1mGiJB2XFxjcE3vgTpsda9OkH1tiZ89JWQJdY0d7GqOk0i7tCUyxNMOxviZWPzq337Aek1lGfd/+nROWzj9sL8XZfyha3SKogyJnh6WAFXREE7c0NSRpKE9lVuCs/Ctt/zckevuewHP+AqWCdwwbYFwyCISsulIZTjY6QZC2R3bgkjI5ogpUdoSmSDbSZh9rYlc6Z2M64Gx/OlJy5/CDFtCWyJDyLJo7kxj8GvR3feJU5k/fdKIfl/K2KFCpyjKIekrpVd9S5zdLQkAIhZMryojErK5dvV8frixDjfwaAwJWJZFSzzDbY9tzQldVZlNU6c/zSnBA4EF0yq46eJlXH//S4Cb2w5dVp3n+aV6aqui/J/3+iUp12+soy2RIZZ0wHhIECSOEY6YEsW2hKmTynjPCdP47uPbAFh6RBU/ueZUaidHR/ZLHAf0nTem+NHMKJoZRVH6JD+lV3nYJpHxpwAzrkdnys15Vhr8UIDrz1vM9e8h68RKAAAgAElEQVQ+hiVffzSYIuxaHXE9Dwkyk3z5wVdoiWcAg+t1lSaZM7Ucg28tbt7bRmfKKeiYaYl/zPRJERbXVnWzFDdsbWDdfS/geh5lIZuaqjKqomE8z+Odg3E6gjybK4+cyt0fP4WqiZrSy2fAAX7RWYtNct+2kezLWKCZURRFOTzyHU4AKiIh9rQmSGW8oAJ3UODUM4gFT9c1c33e8a5ncDyPYIYSwbDuvhdIOx4hWwhZNmHbn2Z0PUNjLMWi2koaYkkSGRfPFM6Ikg04P9iRpi1+kGd3HmRxTSU3XbyM1UtrOWn+1G7TqsYY3mnuErnzltbwgytPIhounSGwdE0adUZRFOUQFHI4cT1/Eiw/0NozhlTG49mdzVxxxyZqKiO4niHtejmLD/znTFCex3H9gPL8c7rG5Dw4MX5b5BAxBQZ8T0wDO5vj3PzwZt+iW7WQjOt7ebqex47GTjpSvshdduIc7rzqlJISuVJHhU5RlD6ZN7Ui55afJZsAOZXxXfYTGZdMIFRlttAQS5IMKnz3nFeypcsaM/gpwZIZNyeErmfYur+dusYO3KAYasj2HUm6ZTDpcd5sXbuwLazfWMfqpbXccslxTK0Is72hI3cNnzzrKP7lQ8tz11BqlOpSlQqdoih9km8ZZePgwoFIFBoyK8tCVERCTCkPYweVusOBUIUsKbjelt/kpwYTHNfg4QvjwppKjpxeQdjqe7jyTDBN6nrUt8QBOHb2ZNqTTi5t2FcuXMLX33dsSeetHI0co+MRtd0VpQQo5DnZs4p2IVYvreUW4Ou/fZW6ps5+s5l0pl3aE378XCaoHD6tIkJjRypXAfxQuAZcx+v2Pp52qCwLMb0yzP62VJ/HWiLsaU2yqGYS7zR1cuVdz1DfksAS+P/+5nguP3V+v59f7GSruZcaatEpSpFTKFVXdi1rILxa38q+WHpA7m2daZddzXGSjkvE8tfjDsT6Fqf+8IxfWLUtkWHB9Eq+8O7FzJtWwRFTyrr1J2RJbgBPZlwu++FT1LckiIQsbr/yJBW5AK9Epy7VolOUIiTfgmtPZJhUZjOl3I8Vq4iEiKcdbnts64CsvP94YkfOaWQg+OtlMKOqjNZ4Gs/181paMvCps6ynpQBtiQzfu/xE1m+s45cv1FNVFsIYi4ZYmpD4FQdc4ydjri4P8U5zAoM/jXrHx07mrxbNGHDfix0VOkVRioL82Lfq8jD725Ik0i5lITsXM+a4HjsPxlkwvaKblbemvpWn65q7VSNIDCbBZB6NHSkskVypHRGh37nPgHwvzfakw7r7XmDapDDTJ5X5zi+uYXHNJDKeyYUQtCXS7A5EbtqkCD+55hTeNad6SH0vVnSNTlGUoqBn7FtZyCLtejTGUjmhO9Ce6hUf1xhL8v0/b8cWIe167GlJ8HTdwQF/rhXoWNYS84JSPdlQBL8W3NBGWs8YDnZkcmIdTzuICBnXI552SKRd9rYlAT+I/MHP/hVHzdCUXj0Z6vc/0dE1OkUpMnrGvhWqIJDxPGZWlXU7riWeIeMa0k732LeB0jNeLj/QW4wfjjAULPE9MUXIlfspD9t0pBxuueQ4Mq7JidzsKVEeuf5sFbk+0PACRVGKgp6xb5PLw1SW2YCwZX+MxliKWVVlhIJA7PZEhrrGDlKBt+PQ5Kg3psfroQyx2dRj2Urg6aAyQiLjMqe6nKfrDrKr2Q8nWDGvmkdvOJuZU4o/b+VQUYtOUZSioGfsW1NHkvakS01lhGVHVFFTVUbKNbQlMjTGkuxtS+QEpD+iIX/I6M8D08IvozMczKgsw8PPohK2hHjayaUQW7+xDoBzjpnB/Z8+nSkVkeH50CKlRHVO1+gUpRipCFu8fdC3dGwRaioj1FT5lo7rGWJJBzdIyIwxRMM24JEpFNGdhwHmTikDEepbk33u5+FXGMg/bihkXD9HJfjiWh62mVFZRtrx+Mt2f/3w/ctn8a8fWpGzUJW+Ua9LRVEmPPkel4trK0lkXHYe7KQs5Fs6sWSGva1JstLjp9YSaoL1up2BOBYiYgtHTC5jT2ty1Nd6smV8wrbQGk/z5oEOAK4640j+4f3HYZVgEPRQKNWpSxU6RSki1m+sI+O6HOxwSLseFr5l9U5zgkmRNI7rBW7+Qtj2xSHrkbmwppKwLX1adbOmlNPUkfK9Mkd5wJSgtFxzZ4aDQQ27L15wDNefv3hU+zHRKVWLTm19RSkitjXEaIql/XRbxpByu8ptdqZdUq4h5XikXY+KiJ3zyIynXeoaOwpW8waoqQwzuTxM2vUQGd6SLyGr+5pfoVSUnvHTgWU/91sfeJeK3BDwhsvTaIKhQqcoRUTa8UD8vI/OIQY12xJaE75lNCnihyLE025BAZteEWJyuT/1GbEtnAE6rgwUz+vhodmPii6ureSjpx85rH0oFdwSteh06lJRioiwLSQyfiHUnkNaflybbQnGGPa1Jch4BukjPZcl0JH26EgncDwPPHB773ZYDFY2v/aeZcPcg9KhVOPoVOgUpUjYsLWBTFDMtLBt5pMtmZPMeLhBDsqwLaSc3sd4BlKOR9iCkGWRHuO5LwFue2wrQL/VF/Lzffr5MQ0daXdQ1RuKjdKUORU6RSkKst6Wk8psEmkXBLwe623ZdxFbWFhTybYDMcLSVf/tUMOgZVl+YuYgz1c/UQgjhgG27I/xqZ8+z+fOXcT17z6mYAkiIOd9agtsa/C9NOdUR3N5PW+hf7EsNkrUoFOhU5RiIJvfckp5lLKQTWMshee5eMafpsyvBZdyDZv3tuEZ38mkIhJmb1vikOe3RPAwfiWCkb6YQ5D1U8m4hts37ADgp5veIZZ0cDyPpliKLz/4CmUhi6aONK7xLVxLBFuEpo40C2sqiaedXCXyUkKnLhVFmbDsbolTXe4nbK6KhqmKhjHGsKs53i0dWJas7rXEHSoiYcpDFhm379W3lOOOi6wa+V1wPcMPn6jLeYJ6BpKOR7IjDfiWq2354RLGGMQiV228PGznKpGXEuPgTzgmqNApShEwb2oFOw920J7w4+citsXkcv+/96FCqT0vcEjpZy5yPIhcT2yBeMb1ywAFGp1fCSjtGiS4LgM4nqEi8DBNZFzmTq0Yg16PLSVq0KnQKcpEo9Ca1BkLp/HszmYs8Z1Lko5LZ1v//pHhkEXa8cbtnb5F316Z2fI/uWiHAoreM7H0jMqIX73BNbm1vFJCA8ZHEBGZJyJ/FpEtIrJZRG4I2qeJyOMisi14nhq0i4h8T0S2i8irInJS3rnWBvtvE5G1ee0ni8hrwTHfEykUdqooE4MNWxu44o5NnHXbn7jijk1s2NqQa7/54c00xJLdCqY+8to+aiojfpyb58emDSQrViqIuwsNw0gwElm4Comc4FtzroE5U6K5ygjG9LZYLOnSv2yNvNqqKLdcclzJrc+BWnQjjQP8nTHmRRGpAl4QkceBq4H/NsbcKiI3ATcBNwIXA4uDx2nAfwCnicg04O+Blfi/7RdE5GFjTEuwz6eBTcAjwEXAo6N0fYoybGTFLOO6tMUz7GtL8OKuFq5dfTRP1zX3KpgaTzvsaOokbAkZz1+PCtl++pKB3MFbcMjg8oEiIoQwFIhSGBS1lRE6067vCSqQcT3CloUTOJYYfMGyBfa3d08s3a0GHn6AuzHgYZgSDfE/N553eJ2b4IytK9HYMSoWnTFmnzHmxeB1DNgCzAEuBe4NdrsX+EDw+lLgJ8ZnE1AtIrOAC4HHjTHNgbg9DlwUbJtsjHna+G5FP8k7l6JMKG57bCv72xLsa0uRcDxsETzjexlua4h1K6oK4Lh+1YGMZ7AtwTPgBO/7wwoso+GgOho67HNNLrPoTLtBujKPVFAENuN5uJ7BDqzP7JqbMd0HsUjIImz5bZGQhRuI/vRJERbPnHx4nSsC1KLrAxH5Tw7hrGOMuWQwHygiC4ATgWeAmcaYfcF59olIdi5hDrA777D6oO1Q7fUF2gt9/qfxLT/mz58/mK4ryoizYWsDbzV04HrGn3Izvit9yBJc41f/TmTcnEUHcKA9RcQWf/rO627V9MdwDnytSWfI9kIQnkdHyis4BeoFge2WJd0y8BugLGzjeF4uT+ei2ioaO1JMKQ9THrZJZNySXZPLH+8iRyxSoTsE3xmuDxORSuDXwOeNMe2HWEYrtMEMob13ozF3AHcArFy5skT/7Mp4JRsP53qm61dtujwGI0F1gXja6RrEPY+51eWA0NSRwjGSSwFm92OxDed/gMMpAZM91NDbwzMr3MbAnOpy9rQmMEE8X3bgzqY0q60q49HPr8o57NS3xJlbyplQ8sa7slmLTalOXfYrdMaYJ4bjg0QkjC9yPzPG/CZoPiAiswJrbhbQELTXA/PyDp8L7A3aV/do3xC0zy2wv6JMKHa3xJlZVcau5kSvu++qaIijZlSybtVCbntsay7bR8S2SLseMyqjTA5i6RpjSdqTjp8lZQLRU5jzHUkMsL8tmVuny8cYP0VZNmRg9dLakhS2/hiPYSKjwYDX6ERksYg8KCJviEhd9jHAYwW4C9hijPlu3qaHgazn5Frgobz2qwLvy9OBtmCK8w/AX4vI1MBD86+BPwTbYiJyevBZV+WdS1FGnL68JAfLvKkVhGyLmspIt0E+bEEkZLNu1UJerW+lrqkT1/OnNMtCFg2xNE0dfkHUeNohErK58NjagiVvyDvveEICkcu/7my7HcxnJp3uU5sGSDsurmeoioZKcnpyMJRqZpTBOKPcje/Z6ADn4jt8/HSAx54JfAw4T0ReDh7vAW4FLhCRbcAFwXvwvSbrgO3AncD/AjDGNAPfBJ4LHrcEbQCfBX4UHLMD9bhURom+XP6HInbrVi0k4xqqysPMn1ZONGQhAiHbojOV4dZHt/D9P2/HM77IOa6hM+1SVWbTFnfY1tBBfUuCzmSah17Z1+cdvG1JTjzGC3agytl+ZcMG/Cro/mBlie/dGQ1ZhILue8Yv3fPtNcvViuuH0pQ5kIEqvIi8YIw5WUReM8YcH7T9jzHm7BHt4QiycuVK8/zzz491N5QJzhV3bKIhluzmIBJPO4QtYeqksm6B3QMZiPPXlyrLQt0cK7Y3dpDMeEF6K/8+1QvW8xzPY8H0SZSHbd7Y137Iaaqw7YtkVkhGcwA81OdlA97zwx0EqK4I0Z50mFtdnquNB76F0pbIlHLYwIDvVspmLTZPbXqGk4+cNpL9GW0GdP2DiaNLiogFbBOR64A9gN4+KSVPfp7JLI7rsfNgggWe6WblDSRjfv760hV3bCLt+h6Fb7d1ksz4CpBxDXYwHyPiT+mFLX8NK5HpPy9lfsovAcqCDCn5SUYkEB3PHP7ajgiccuQ0bEtoiCXZ05Ig2SN4T4CQCPOmV1ARCdGeyNDUkSLleLgeLK6p7BUyUaqpvIaKrtH1z+eBCuB64GT8qci1hzxCUUqAeVMreiVOPhBLEbYsKiIhRPwA77AtrN84oGXtHLtb4jiux962BI5rcutTBj+Q2mByVaM9IDUAkeuJhy+UWdmpqQxjW5K7VR6OwdEYeG5nMy2dKdoTGTKeL8z5t+OWQNozOK5HLOmLnJ+3U4iELN5z/CzqWxJs2ddOXWMHjbFkyYYNDBWvRJVuwEJnjHnOGNNhjKk3xnzcGHNZEMytKCVNdl0tnnZyziAZ1zBzclm3/YaSMX/e1AoOxFJYCJYluXUs8N35M66X957DzkoC0NiRwTMGEcHxIBq2qKkM93/gAGhNZPzYt5CNQfwMLgHZMfid5gQ7D8aJZ1wwfuB7azzNTze9w7RJYSK2kHRcWuIZ1pw0R9flBkGJ6tygvC7/LCJ/6vkYyc4pykRg9dJabrnkOGqrorQlMtRWRTmmtpKQ3f2/11Cm2bIimv3ni50/1WhZwuwp5SPiSecFsXu2wMyqKPG0d0gPzoFggIZYipAlzJ9azqQyu9sUaqGQgYxHrp5cLOkwozLK0bVVHDtrCnOnlvN0XTPKwCnVpM6DWaP7Ut7rKPBBfA9MRSl5esZtZT0xuwV2D2GabfXSWo6preTtIJwgYlvMmlKBbQkR26KuqRMRQYaQxXAgTiiugV3NcWxLCImQOcyB0jNwsDNNZ8opWCevZ/8AwraFZwyO131Nr1Rryh0OKnT9YIx5oUfTkyIyLMHkilJsrF5ayy0wLNk5brxoKTc/vDnwlPTY35Yk4/k15zKuRyRk4Xlm0HkmB5wmDLpVKD9cXM/Qkeo/kD0UhEC4xs/hieluUqojyuA5nOw1E5kBC11QOSCLhe+QcsSw90hRioThys6RFc3bHtvKzoNxwrYwt7qcPa1JPAPpjNdnzbbxSHas7W8mNOMZPGMIhywqy0IIftiG43ocaE8FDi3Chq0Nuk43QErVohuM1+ULwPPB89PA3wGfGIlOKYrSndVLa6muiLBgegUzq6I0daRzVtZQRM4SKAsd5qLbEMjPenKogPXsFtfAgmkVfGfNcr69ZjkR26K+NQkCc6vLyXhmyMH5pYg3ke6IhpHBrNEtM8Z0K/4kImV97awoyvCyuyWOLbC3LXnYbuKegdRwuGgOkuwn1lRGaE049JxAzZYkMkBF2KKiLMRjXzgnt339xjpqKiPEkg5725JEbIuqaIj1G+vUqhsAboladIMRuqeAk3q0PV2gTVGUYSSbKaUxliLjelgiw1ZDbiywBGxbmF0dZVdzvNtUZna9MWQLR0yJUlsV7XbsWwfaaU86WPihFo5rONiZxnHbR/9CJiClmutyIPXojsCv7VYuIifSNaswGT+AXFGUEeJ7f3yL2zfswPE8bLJZSibuYHXktApSjktzZ4a5U0PMm+qvNWYH4KxnZVU0XNBLNRuOYAXTniJ+EHR6Iiv/KOLq1GWfXAhcjV/65l/oErp24H+PTLcUZeKStcAGm+Oy0Hlu37ADzxhskaIYzHe3xCkP20RsqK2KUt8SZ1HNJESExo4UacfPhJItR9Tze4uELBJpNwhoD+rRGb9d6R+duuwDY8y9wL0i8kFjzK9HoU+KMmHJxs+FbRlQjsueonjGwmk8XdfM7pa4nyrL9RAOXTx1opEOpl+z1lr2+hfXVnW7/my6tPzvbXFtFTsPdtCecIL0YBaTJ4VZML1yTK5lolGqU5eDuQ06WUSqs2+CmnDfGoE+KcqEJVshfCA5LnuW93m7qYP//0/b2Xmwg+ryMJ1pB88Ul8h5BhzXUBGxuPXRLYe8/kLljtatWkjYtjliSpQlM6s4YkqUsG1rvssBUqpxdIMRuouNMa3ZN8aYFuA9w98lRZm4ZKfmANoTGeoaO9jVHOfFXS29XOCzoui4hrebOjnQnsLzDM0daWJJp1eF8WLBtoT2pMPWAx3sbU2wpyXBtgMxDrSncD1DS2emz5uEQunWbrnkOPW4HCAlqnOD8rq0RaTMGJMCEJFyQMMLlAnPcK2pgZ+E+e2mDlo606Rcg9DlZZidwgRf5J7d2UzIEjKuR9iyco72KdewuyU+7iqADwchS7Dy1htdz/TKupJ0/OoFVdHwIdN8leiYfViUavWCwQjdfcB/i8jd+L+xa4B7R6RXijJKDHZN7VDnWb+xjs1722hPdk8B6xqYUR4mbAu3PrqFeMYjbAtlthAP6st5xnTLPVms45HrGdw8ierrMve3JamKhnul+cr3Qi2zLVzPG9Lfq1QZfEbU4mAwuS7/WUReA87H97z8pjHmDyPWM0UZBfLX1AAqIiHiaeeQAciFHEgefHFPLhelbXW5cYv4VkxbIkMsmSGe8YiGLKaUh7uJWc+CohOBoVQmH+j+ScfLlTvKrr/le6GGbQvXwMGODNMr0YDxATIBf2bDwmAsOowxjwKPjlBfFGXUKVQd/FDTZYUswNs37GDapDBTyqNkPH8Q9oJ4sJDlJ17O5A3xjudxIJbCLrBCPhTxGCsG2k8LP02Zn6R54BlZIrbF/3nv0pyArd9Yh+sZQpYgiB9Dh6EtnqHe0ioGA2Eix2AeDoOpR3e6iDwnIh0ikhYRV0Q0HYEyoSlUHfxQWfELeVW6nj/Ygj84G+MP6gbflb7n0OIE1l6h4N1iHIbKIzY1lRHKQhauBxWBs86hiNhCdUWkm5W2uyVOWcjq5qQjAinX0yoGA6REdW5QXpf/DlwBbAPKgU8C3x+JTinKaNFXdfC+3NXzvSqzlIUsUoFq1VSV+YOJ+NZZfhLjsCWUSlxzNGxRVeYL3BFTosycHOWIKVFmV5fzgytPYm51tM9jQ5Ywa0q0l1U9b2oFVdEQHgbPMxhjAgvP0vCCAaJxdAPAGLMdsI0xrjHmbuDckemWoowOg3VXL2QBVkVDWCK8ub+dnQfjpF0Pxw0SE0dsykJWrq5aqaRgmlkVpXZylOmTIgW/22994HhmVEaIhrsPQWW2MKe6nJBt9bLS1q1aSCRkM31ShJAtOEHl8WtXH63rcwNE1+j6Jy4iEeBlEflnYB8waWS6pSijx2Dqxq1btbBX5XDXM2AM6R4iFraFqqg/tdnYkR6Bno9fmjpSHDVjEm2JDI994fRe21cvreU7a5azfmMd2xpixJIOUyvCzKgs67Ma+3AWsy1VStWiG4zQfQzfArwO+AIwD/jgSHRKUcYzkyI2dU2dABw1vYIyW3LrbtmpSoO/8N8Sz+QcU0qJpOP1WwE8/wYj68nan4ANVzHbUkUtun4wxrwTvEwC3+i5XUR+bYxR4VOKlnyPy8W1lSQyLvGMx/5YqsuJJFA6MQSOF0LM6dpkW4LrFX80k+sZ2hIZ/s97jx3Q/ipgo4N6XR4+uhqsFDV95bF0DX1mMckGhGfj6SyRohe5LMWY2UWZmAyn0JXK/1+lROnpcdmeyLC/LYkxXT9+Y+j2HmMIW35bxjOk87xRFkyv4Pg5U4iGLMKWnyqsWLDEt14LJbNWxo5StegGFTCuKKXMvKkVNMSSVERCtCcy7G1LAARrdKZXlQFb/PRfWYsvu1mAkAWNsRS7WxJFmVFegAPtKQ60p7jijk3dyu8cbj5RZegU4U9tQAynRVdE96OK0pv8mLumjhQAgjCrupx50yqIhizKQhZLZ1b2qiGXP74YIONBZ9otSpELWYIXWLUisPOgX37n7aa+y+8oo0OJGnTDKnQ3DuO5FGVcMiliU9+SoDPtYgGzq6NURcNURcMsqq2ktqoMKaF1uEI4ec42IkJ7wsESiCUdYkmH/W1J9rYmuP7+l1TsRhmduuwHETkT+AfgyOA4AYwxZiH+i/87Eh1UlPFA1uMy47rYwdxFyjXsaU0ACb/SdXmIBdMreXFXy5j2dTwRsiSoKO6nVtvblsDCz3nZmXa08sAoU6pxdIOx6O4CvgucBZwCrAyeFaXoWb+xjozrcrAjg2vIiV3GDYLFXY+GWJozFk4r2btmgJD0WMMwhoht5daGLATL8pOjRUN2n9XXlZGhVH+ag3FGaQuqFyhKybG7JU5bPIMIvUIEHA8qIhZV0RBP12WLqZbOiBK2fHWrLg8RT3skHQ/PM1jiVy2YXB6iIeZnhvGMRzoTrN+FLBzX67NShDL8FOGS8IAYjEX3ZxH5toicISInZR8DOVBEfiwiDSLyel7bP4jIHhF5OXi8J2/bV0Vku4i8KSIX5rVfFLRtF5Gb8tqPEpFnRGSbiDwQpCpTlGFj3tQKUq6HBOZK9s7YEgILBQ52pnlxVwt2ECpQCt5ZZSGLO69aycojpzG5PMLCmkqOnTWZI6dXELYtLBEWTK/khvMWEQ3bZDxA/OoEBtjTmqSyTJ2/R4tSnW0YzC/stOB5ZV6bAc4bwLH34Fc/+EmP9n81xnwnv0FEjgUuB44DZgN/FJFjgs23AxcA9cBzIvKwMeYN4LbgXPeLyA+BTwD/MdALU5T+WLdqIS/uasH1TG7aEgDjDx6Oa3LVCjIuRENWLli8WBEg5Xisu+8FjppeQXvCL1VUHraxLaF2cvcE2Y+8to/tjZ3Y4teSy465pbpuNBaU6jc9mBRgQ65UYIzZKCILBrj7pcD9xpgU8LaIbAdODbZtN8bUAYjI/cClIrIFX2w/EuxzL77TjAqdMih6Vg7Pj/VavbSWa1cfze0bduB4hkjIIuN4eATrdQIY4YgpUdoTGZqD+nTFTHbQ9IwhE3haRmyLtkSmYL7KjrTLnOooTR1p0q5HxLY4orKMzrRb8PzK8FOqNxWD8bqcAvw9sCpoegK4xRjTdhiff52IXAU8D/ydMaYFmANsytunPmgD2N2j/TRgOtBqjHEK7K8oA6JQ5fCbH97MmvrWboHO164+mqfrmqlviVNZFmJbQwwIas8J7GlNlNT6XMgSIrZFRcQfSqorIjz6+VUF980G3C+sqcy1xdMOtVXRQ95kKMNHqU5dDmaN7sdADPhQ8GgH7j6Mz/4P4GhgBX7Jn38J2gstbZghtBdERD4tIs+LyPONjY2D67EyYdmwtYEr7tjEWbf9iSvu2NQrfqtQHsu043L7hh00xJI58XvwxT2sW7WQ/7nxPG68aCkVkRDG+FN4jmdKYl0uiy2+uM+oLAP8KctDOZb0VeT2jIXTuPnhzd2+Zw0oHx7yxzsoXa/LwQjd0caYvzfG1AWPb3AYiZyNMQeCAq4ecCdd05P1+CWAsswF9h6ivQmoFpFQj/a+PvcOY8xKY8zKmpqaoXZfmUBkrbVDDaSFKofHkg6O5/VK4rx+Y13unBURO5cFxPEM6RKy5lzjh1fsb0/SnsgMqCxPoSK3T9c1F0yWrWEHh0/+eCeUrtflYJxREiJyljHmL5ALIE8M9YNFZJYxZl/w9m+ArEfmw8DPReS7+M4oi4Fn8S23xSJyFLAH32HlI8YYIyJ/BtYA9wNrgYeG2i9lfDOUKa58aw2gIhIinnZYv7Eud2x+HsssKccjJEJdY0duTWlGZYT6lnjunFPKozTEUpTyIJJy/BCBqZMi/Zbl6VmOZ8PWhsDJx6MsZFNTVUZVNNyvdagMDV2j65/PAvcGa3UCNANXD+RAEXYNlv0AACAASURBVPkFsBqYISL1+Gt9q0VkBf7N8E5gHYAxZrOI/BJ4A3CAa40xbnCe64A/ADbwY2PM5uAjbgTuF5FvAS/hB7crRUZf62j9ZdbY3RKnujzcra3nQFqocrgIpF1D2nPBgOO6vNOcIGwLDbEUR0zumrJzPIPn+U4ZpYhnoKaybFDratm/ZzY20fEMe1uTzK72Kx8cyjpUhkZp/joH53X5MrBcRCYH79sHcewVBZr7FCNjzD8C/1ig/RHgkQLtdXRNfSpFykAss0IUstZ6TrOtXlrLLcFnZKtct3amOBh3eo0Onmuww8Ke1iQiQk1VGXtbk2SCNbqJOJjYwFB8Hy2BSBD43ZFy+j8gj+zfc2ZVlL1tCcQAGPa3JamdHGXdKi1xOdx4JXoj1q/QichHjTH3icgXe7QDYIz57gj1TVG6TVU25llRWQYyxVXIWsu4ptdA2nNabcnXH8UWX7jyxwcXCBl/TW5Xc5x5U8uZXhlmX1tqQopc2BJmTolSXR4mlnTY2zZwz1EvcMQJD8ECy1raEvHHkqaOFGnXD1PIj79Tho8S1bkBWXSTgueqAttK9GtTRoOeU5VNHamcFVUV9aci+3OAgMLWWqG1vZ7rf67nYVuCbVkkM76901VQtave3DvNXUvVIcufgptIOJ7JWb0ifukhC0OhcHfbArfHBhOI/hkLpx3yc3p+v5UR/6ajIhJicnmYyeXhXLiBitwIIGBKdMjuV+iMMeuDl380xjyZvy1wSFGUEaHnVOXMqih7WhPsb/PTRvVlmRWip7XWkw1bG/jyg6/kPC2bYr515rgGEdMtkwf4glfI6JloIpfljIXT+Ommd2jqSB9yKAyJYNvkvEsFPw1YdUWYp+uaub6P4wqtr7YnMrnPOpSlrQwPgpRseMFgnFG+D/TMbVmoTVGGhZ5OJJPLw4Bhf3uqz+wbA6GQ5+Ztj22lJchm4hlIOl1mS8rpbsLYAumeZs0ExgD/9t/bCq4v9mxLuYaQBUdOK2dyeVdKWWMM9S3xPr1iC62vgp9JpboickhLWxk+SjVgfCBrdGcAfwXU9Finm4y/hq0oI0IhJ5KQbXHS/Kn84tOnD+mcfXlu7mtNYIzJrWHkD/BltuAY41ctMBPXajsU+ZeUf+2FrtS2rF7in8i4TPp/7d17nFx1efjxz3PO3HZ3dpPd7G5CSAIJBGJEuYWbUptatEHbov1hq62CiA1W/dFa24Itan9oW2lpUVqLoYCIVtBiVbSAChqiFblFbsKShA3knt1kN3uf63l+f5wzk9nd2Vuym7k9b17L7pw5u/menZ155vv9Pt/nG3EnzIqdKPO1byQ9YSUVM/tqNdBNZ8F4BIjjB8XGgo9+/LVrxsyJXCWNA4MJXu4a4IW9fezqHZlyLmgyn3vgRboGEuzoGWb7gSEyWSUcBLL8i72MfoEPuQ6rj5vHspZ6qnHv8LHVXIpdYe6cWMihpSFM73B6XIUTEZlw4ffS5npG0qPzOqczv2pmV43GuWnN0T0CPCIid6rqq8egTcYA/rzapbsO8cWNL5P1lFjIpTEW4t7Nu3n9kvlHNGS5tXsQVwRXhGTGY0fP8PghuzEvBrlhyrrcNjNVRoJfwFSvgSHHL1odj4ZIZ5X2xtioIcfrvvv8qF7bQCLN3kMjvNw9RMjx/5G2xigLGqI2H1citdqjm8kc3bCI/BP+9jmx3EFVnc42PcYckUc7e1jSXDdq+HI6a+eK2bCpk7Dj5JcLZL2pc9AEPyGls3uQprpQPihW6nq5YpygIvVkQ7L1kcNVS4ZTGVa2N44bPl666fBQ80Aiza7ekXz9T0f8bM3ugSTprLKyvdHm40qgRuPcjALdfwLfAH4b+BB+qS2rimzm1ERzO1v39/OeW38xaSmwsYkRW/b3s7Apyt6+JOmCZJLJnvu5+xLpLImMR2MsRH8iUzVBDiDkOCxsirKjZ2TC62qqCxGPhvLDlMV6YoXrFbv6E/nAGQqWaAiKOBQNkmbuCbUb6GZS1HmBqt4OpFX1EVX9AGB/rWZOFZvbOTCYZCCZnbRIc7FCzoPJLMmMx+L5sbH/DDD5juDZoAfYn5hZ9Y9KEI+67D40cZBzgKFkdlQh5rWr2sftCAHkizYng41ow44/xwn+EGnWU6thWUK1OnQ5k0CX20lyr4i8XUTOxN8pwJg5U2xrl97hNC0N4Umr3RfbdieXROE6Ql3YIeTKuODmBFvPlDNHJg/KM3VgKI0zyUUrMK8uzE+veTN3rz8/H+SK7QgBcPf68zn3xBaiIQfHOfwSo2o1LEutChOGp2Umge6zQUHnjwN/AdwGfGxOWmVMoHBrl319I8Ecj0f/SIb+kcO7eI8tBVZs250FDVEaYyHaG2PUR0P5F/dQ8CxQwJXyX1TrTSNxZKYmK/mlMC44FXsjUfhm44IVLWRVSWa8IPEkS1aVeDRkCSilYpVRJiciLrBSVb8P9AG/MaetMiaQm2fbsr+fwWSWloYwmaxHKuux69AIob4RPPyewokth1+MlzbX88rBQfpHMvktdprqQqPmhzZ2dHH1Pb9kOJUl6gIiNTm0M1XvMOQwLjhNtiPExo4u7t28mwUNEXqH08GmtLBkXoTPvvP1loBSQjX45w1Ms0cXbJPzu3PcFmNGKRweS6Q9PFUODqZpjIXRYM4sFcwFZbLKwaFUfp7ughUtdA2kSGU9nKCSSddAatQavLWr2rn53WeyeH4dS1rqWdkeZ1lL7Q2rKRP3EB3g6jevHLeHXP9Imhf39dPZPchAwu9Z59bF5Xp7bY0xTlnYyOuOn8dJbQ0sXRC3IFditfhGDmY2dPlzEfk3Efk1ETkr9zFnLTM1r3B4LJX1cEUQgcFkJliX5b9Ah12HJc11NNWF80Nnj3b20BaPEHEdMl6wlMBTbvvZ9lFJK2N3vQ47/qLnWuOK/5ETdoVVC+Pc8f5zuPqiU/LHb35oC1d97SkGEhk8DxKZLLt7RzgwmMhnYxYbNraNVEuvlrMuZ7K84A3B5+sLjilg6+jMrCi2HOC4eXWAXxMxk/XT03MLuCOuEHYdVrTFgcP1FsEfWmuNR4mGXPb0jeCIA6IMpTLjNmvNfd6wqZPNO3oRDu9MUE2iISdYGK75OTn/jYIQcR1SWY+wCMtbG/JluXKZlTt7h2mMhtjaNYCIEA37e9BlPfzfazLLze/2hyWXbqpn+4FBBhKHh40bYyGWt8ZLd/EGqN0e3Uw2XrV5OTNnitWgHExmOTCYpK0xRms8yp6+EfD8/dO8oOZka/zw/nSFJaWWNvsvtl0DySDTTPNzUV0DCT73wIv5AJfbueDQcKoqK5+4cjiZZE+fv6VQXdjJD/seP78uv+2RqtIXJPmMfUy2dQ2S8SDsKIJD2HVxHcUVPysz9/u8YEULj7/SgyPkh427B1P84blHXrrNzI4ajXPTD3QishD4e2Cxql4sIquBC4K1dcYclWLV7VsawvQM+S+6A4lMvpJJLORwQnM9u3uH2d+fYPehYUKO32v45NtXA4dfbAvTqf2sSn+X5Zf2D3Lx5zcxkMyw99BI1fXeckKOML8+TMgV6sIuDSMufcHvUkRoioXyQQ5Gv1kY+5hkNZgP9SAUjEyKQDLrjcrKfLSzh/bGyLhEoMm28THHRq1mXc5kju5O4AfA4uD2FuDPZrtBpjZNtBwg4gq9w2kSmSyxkMOipijNDVEuPm0RkbALEux2P6YQ8/3P7aXYVJunfuKKAi/uG6jaIJe79JXtcW689PT88oyRtMeipiirj2uiMerSM5zmhT19dHYP0j2QoG8kzaHhFBfe8GM27+glEwwTDyTS+TcaCqSzHqpK1lNCjjMqK3Nn7zALGqKsaIuzalETK9riLGiI2hxdGfCqcMRiOmYyR9eqqt8UkU8AqGpGRLJTfZMx01FsS56RdBYRYUlzbFyty9t+tp22xmh+Di93PJeMsrV7sGja/NgMw2oMcnC4UHPngSGu++7zLG2upzUeZV69Uh8J0T+SZiiV9Xu46ieVpIY86kJOkPjjB7NXe0YIu4n8Ym8v+IVlPPXrWAq84/RFo7IpJ3osbaF4aQm1uXwGZtajGxKRBQSvEyJyPv6aOmOOWrEKKOmsEgk5RTP4hlLZCTP7NmzqxBUhU6PvXoH8bgQC+TnPLV2D7Dw4RMe+fnb2DqMK4ZBfIWb1cfNwRUh5fi9tb1+SILGVdNYPaqqjMzMdgUVNUZ7a0Tcqk3Wix9IWipeYzH6hgUoxk0D358B9wEki8r/AXcD/nZNWmZozNs0/V1NxZXtj0X3MGiIuI+ksA4k0nd2DdOzrZ1vXIPEgMzBTrV21afLwg9KieTFEhKzn77eX9oKeWZDMk/WUSFCLMuN5ZD2leyCJCIRdl3DBK4SnSsgRoiGHsONXkDkwmKKrP8END3bkz5vosbQ1dKWnNdqjm0nW5WYR+XXgVPw3ii+panqKbzNm2tauai/6YpiriF8XdvP7mH3wwuV89Rev0jucztd+zHjK7t5hBlNZarkzl5Nbawiwry8B+O/ok2kvv81QJqscPz8anO9AkCXpBt/riIMjHiHH33LWX02gpINhS9cRPE/Z0jXIxo6uUUs2LLCVn1qtdTmTOTqAc4ETg+87S0RQ1btmvVWm5oxdQ5fbdmftqnaux88ALNzkc+2qdu5/bi8DyUy+V9IQ8ZMravXJDP5wousEPThgz6EEzfX+FkM5Oub83PY7jbEQCgwmMnjBPnIemi/lFXIER2A4WIMREsH/D8IuR7RHoDm2rEc3BRH5KnAS8DSQG0tS/CFMY45Y4XotV+CXO3u58q4nOaU9zjXrVk3YOxhMZTm5Le5nXQKd3YP53l1tPp39d+wusKAhwqGRNIrSNZAcdY7I4fVU0bBL30iaJc31+aUZNzzYwZauQcIuLG6MEXL9zWrb4lG6B5MMp1N+JZWgN+ehLA52GzflrVbfBM6kR7cGWK21+pbAzJnceq1MVtnTl8DBD3jbDwyNq2JSaGx2Xyrr5auaZKr4rzTXYytUuPP54iATtX8kTSpYSlF4f+G7gGXNdTz4sV8f9bNy2/DketHtjTE++fbV+cdg3U2P8ErPcL4n3RqPEXKF9sbi+/yZ8iBYZZTpeB5YBOydo7aYGpWrhL+9bwgHwQnmg7Ke5rd+KRboCne0rgu7Qaal4roOmvWqdulAsSAXDTl4qjjB3NqevhEchLDrz1166s/ZeepnTwoQCTkMpYqvEJpsju3ai1+T74EXzptaVqUpVzNaRwe8ICKPA/mxEFW1XQ3MlCaag4PDPbNc4Wbwh9YirjNpMeCx83fLWxvoHkzSM5SqqSEaBRIZvzcbDznsH0jk59cKs08znhILOaj69zXXh4uubZvssYLxv/clRc4x5Wnsm6RaMZNA97dz1QhT3YrVsSwcksz1zPJzPp5fLDjjCNu6B0ftMzf2537ugRfZftAPhPFoiMvOP4Ev/HhbTRb1UyCVVf93qH4vznWEkCuk0h4e/vBuXdilMRYmEnLH9cKmeqxyLKuyMtXg0wKY2fKCR0TkBPwNWB8SkXr8eW9jJlWsjmWuiklhZuV1336WXX2HEycEJZMlv89c4dzRlv399I2kCSpU5Ut6dewbqNlEFIBkxiMachD1syJzu6iHXQdFiYVd5tWFaYi4iIhfNWXT4R7ZVI+VqWDi1yutRTPJuvxjYD3Qgp99eTzwJeA356ZpplpMtht1Icd1ibhCOkigyHrQ3hjBceDDX99MOuORnmLopTafxqOp+hvSRtyg5FkwVLl4XgxP4TOXnDZhr226j5WpPP5+dLX5DJlJZZSPAG8E+gFUdStgb/HMlJY21xetblI4P/S5B14M5ulG11fvGU7R1Z9kOJWdMsiZ0VSVrCohV1g8r46Q64zaAbw+EkLE/5xL+pnOY2UqV60+hWYS6JKqmsrdEJEQ9gbaTMMFK1rY1TvCC3v7eLlrYNRu1ODvWt2xf5DEmM3g/Cr5SlaDIsVmWkSEiCs4jsOylnqWtzYQCnrKU+0AbnUqq1utLi+YSaB7RET+GqgTkbcA/wV8b26aZarFxo4u7t28m+b6MLGQSyqr9AylufSs4wF/Tda/PLR1yp9To8/PGRMglfFrVnqeEnZkXL3JyXptVqeyutVqj24mWZfXAlcCzwFXAfcDt03nG0XkDuC3gS5VPS041gJ8A7+k2CvA76tqr/hlLr4AvA0YBt6vqpuD77kcuC74sZ9V1a8Ex8/G3y+vLmjXn9rC9vKQGyabVxejrdE/NpzK8MDz+7h38266BhKlbWAVGFsJJuT6ZbkcRxhOe3zmktNGBaqx6w/HroOzjMrqJIjN0U1FVT1V/Q9VfZeqXhp8Pd3f2p3AujHHrgUeVtWVwMPBbYCLgZXBx3rgFsgHxk8D5+HX3Py0iDQH33NLcG7u+8b+W6ZEJhom6zwwRNj1K3wIhzcKLTTVaGV4JuMRVSYecWiLR1i1MM6ChjDRkEPEFcKu4OAvuF/YGMvPvRWyXlvtqtWhy5lkXT7H+Dm5PuBJ/N7VwYm+V1U3iciJYw5fAqwNvv4KsBG4Jjh+VxBEfyEi80XkuODcH6lqT9CeHwHrRGQj0KSqjwbH7wLeATww3Wszc6ewTNdAIk33QJJEJhvs9O0RcR1UvaLVPnIcKLobQbqGtyhIe7D+/BO4+qJTAH+I+KqvPYWnfjWZ1niMprowqlo0Y9J6bbUpW6PPmZm8J34A+B/gj4KP7wGbgH34PbaZWqiqewGCz7ln3fHAzoLzdgXHJju+q8hxUwZyyQ0HBhPs7h0hlfX8+TaFV3tGSGWyRas1xKMOjbFQUOGjuGioNjNUBGiuD/NoZ0/+2NpV7Zy1rJllLfWsaIvTFCwRsIxJkye2vGA63qiqn1DV54KPvwHWquoN+PNss6XYq5cewfHiP1xkvYg8KSJPdnd3H2ETzXTlhsmGklkU/w9ORPL7naW9YK1XcH7EFdriEf74106iKepOmtZbq+9OFX8R/die2lTZrab2FL7eZdKpmh26nEmgi4vIebkbInIuEA9uZo7g394fDEkSfO4Kju8ClhactwTYM8XxJUWOF6Wqt6rqGlVd09bWdgTNNjO1dlU7YdffmTqZ9Xe1zgRzczmOwMLGKGHX4eBQipse3krXYGrCnwl+7cZalc4qu3pHOPW6B1h30yPc/NCWCbNbbYiydhW+3oXDkZrNupxJoPsgcJuIbBeR7fgZlx8UkQbgH47g374PuDz4+nLguwXHLxPf+UBfMLT5A+CtItIcJKG8FfhBcN+AiJwfZGxeVvCzTBm4+aEt9Aylx1XKL3zOqfq9lIznV9dX9es2mom5jj8Uta17iH/9yTbS2SxtjTFWtMV5zXFNLGmuGzW8aUyt9uhmUuvyCeB1IjIPEFU9VHD3N0Xk8ly6/1gicjd+MkmriOzCz578XPB9VwI7gHcFp9+Pv7RgG/7ygiuCf79HRD4DPBGcd30uMQX4Ew4vL3gAS0QpGxs7uvjixpdxnMmHGhW/h+aIjNo/zUws7PrZrOIpyaxH33Ca1vjhPeGsdJcZq0bj3IzW0QGgqn0T3PWn+NmTxb7nPRN8z7g6mUG25Ucm+Dl3AHcUOf4kcNoE/4Y5hsbuKOA6QjrjEQk5ZL2pJ9XSQTSs0efjjCQz2VEvXMkx7yQsEcWMZdv0HL3aTIEzeRs7uviLe5/h0HAaDbaJyT2tUhkPR6auzKBAyIFMjSaazIQGXd9csHNEJlwEboxggW421OZvsIbd/NAWbvvZdoZSWRoiLk1Rl8FkBlTH7e7tAc4kfyG5oUpHQG3gMs91hCXzY+zrT9LeGKUh4rK1a5Bs7k1ELsgBC+MR2htjthmqKa6GuyLWozNH5OaHtoyqUdmfyNCfmDz5drJOWi6sebl9ZWqUI6MvP+wIIdfhrGXN3L3+fADO/swPGUxmSQXd3ogrLAq24MmdY0wx1qObhIg4wKWq+s1JTvvf2WmSqQT/9pNtpW5CxXKFcT3enLGvQ6mMR/9Imk++fXX+2CkLm/LVZnKGUxnaG2MYMxGhdrMup7W8QFU94KNTnDPp/aa6WOr/kZvOr07E791Fwg4LGiLjijLbVjpm5qRmA91Mhi5/JCJ/gb/jwFDuYEGKvzFmEjOZeawPu6xoi6Oq9I2kR923dlU71+PvDGHzcWYmbOhyah8IPhem/itgbyNrUMiRmq5MMlOOQMhxSE2jbpkj5M+baImAFWU2R6JWn7IzWTC+fC4bYirL/LoQB4bSU59oAGiLR6mLuLx6cHhavbqI69iQpJlVIuDVaKSbUdaliJwGrAbys96qetdsN8qUr40dXdzwYIcFuRkaTGZob4qxaF6UvX3JCc9rrg8xnPKoCzu0N8ZsSNLMKpujm4KIfBq/jNdq/DJdFwM/AyzQ1YiNHV186r5f0dVvu4LPRMjxq5gMpzKEXZcl86Ls7U/mk1KEYGjTdVi1aJ4FNzNnshbopnQpcDrwS1W9QkQW4hd2NjViw6ZOf1dw1WnN0dX6sm8BmmKhfJWSXb0jLF9Qz9vOOp57N+8m7MqoKiYz2eV7Y0cXGzZ1srN3mKWWjGKmqUZHLmcU6EZU1RORjIg04W+rY5MHNWRn7zDz68K4IiSmkVRRi8+p3Bq5WMhhYVOUVNZjMJVlYVOU1niUkXSWezfv5tKzjufRzp5JsyYnCmYbO7r4y3ufYSCRIeN5HBhI8pf3PsM/XXq6BTszIcHm6KbjSRGZD/wH8BQwCDw+J60yZakxGmJb1yDJaRaiPHGBny2YS8DIVf2o5qdaViEagkjIYSjlVy9pi0doCxZz10dCDKcyPNrZU7SKSS64be0aYCCRobk+TGs8StdAgk/d9yuuB254sIPe4TRuUDVFFXqH09zwYIcFOjMpm6Obgqp+OPjySyLyINCkqs/OTbNMudnY0UX3YNLfL67I/bn6b7FgKE6AxliYgcThpJVaeDPpLyNwaWuMks4qkKE1Hh11zkTb5+TmQNPZLAcHUyiwvz9J1lMWzatjOJVhw6ZOOg8M4YhfxBn8bDoVpfPA0LifaUxeUFRdVRGprYqNUwY6ETlrsvtUdfPsNsmUo+u+/Sw9Q6kJg1Xu8Eja31xVBF7Y21+1C1QL5x8Lv464/lq5XM8tlfEYSWdHleuaaG3chk2dQZBLj9qT78BgivpIiMZYyPaXM0fNU3+IvZZMp0f3z5Pcp8CbZ6ktpgxt7Ojiuu88x65JUuILCRALwUiGqi7O7Ijfe81tFjuSzuaHZh2gs3vQX/St5CubTLZ9zsaOLjbv6CWZ8RAZXSHdD3ZJQq6wpLmehojLtu4hxFO/N6f+i9fJrbb3nJmYBH9VnipujdXgnzLQqepvHIuGmPKTG0rb0zf95QQhV0jWQB1MT6GpLsSBgRSeaP5lI+15/rBQ1j/mOP7LS9gR+kbSRRNPcr/n/GjSmHlMEUhmvFEB8i/ufYbBZIasp7iOMD8a5tqLX3MMrtxUuqynhN1St+LYmsk6ujDwJ8CbgkMbgQ2qaiuHq9DGji4+/PXNDKeyM/q+dA0EOfB7XPPrIqSzSirjoSEllVU014sVQP3tc1xHaG6I8uDHim+hk1u2sbAxxo6e0ZVTBEChPuqOWn5w46WnW61Lc0SqeKBlQjPJurwFCAP/Htx+X3Dsg7PdKFNaufT1mQa5WuEKhIOsyhsLUvo3dnRx1deeIpP1UPwhze6BJK3xSH5urdiSgdyyDYkIbfEI3UEiigALm6JEQu64NXZW69LMVG7EoBYXjc8k0J2jqqcX3P6xiDwz2w0ypbdhUycDiUx+/sccFnIEEVjYGCPkChs2deYDztpV7axobWBr12D+vIyn7D6UYGV7PD9EGXaF+XXh/JKBxmgon7CycF4d9dEQ+/oSKLC8NW69NTOranGJwUwCXVZETlLVlwFEZAVgb/mr0M7eYTKeR0ggXXvPiUm5QcbJnr4RIq5D33Bq1P35ocvc700PH88NUeYyMHOZmaqa31+uLuziOkJ7U2xGlVKMma5aXDQ+rY1XA38J/ERENorII8CPgY/PTbNMKS1trifkODjOTP48qp9I7t2w4IqQynoMJLNs7OjKnzOYynL8fL+3l1Ul5ArHz49xYCjF5h29vHpwiM7uwfz6wrqwy1Aqy/W/+1raG2P0jaRpb7QgZ+ZODca5GS0Yf1hEVgKn4k8fdKjq9HLOTUW56k0r+Mt7n6F32PKMICi67Bx+gRDHH9IVhJaG8Kjhy6XN9XQNJFjRFs9//4HBRH4o2BG/RuieQwkWz/d7iEua623Ozcy5XFJvta5tncy037KLyLuASFAN5XeAuydbTG4q19pV7fzTpaezsj2OcPgJkvu6mosqjL20kOMHo5b6CPGIS9gRsp5f1Hrx/BgLGqJs3d/Pupse4dTrHuDJV3rY0TNM90ACVX84smcoTXN9mIWNMX8kM/jfvr6E7Tdnjjmbo5vcJ1X1v0TkQuC3gBvxsy7Pm5OWmWPm5oe2cNvPtjOUytIQcfnghct5/ZL5zK+PsCAeYSCRoS7sZxl6qkyjnnPFccWPP26w7g0FcQTPU8IhBy8om9RUF8rXrQToHkhwaCTNoZEMjvhvArKecnAoRSbrsXJhE4eGU7TGo/mySwcGk/5SBLAhSnPsBO/iLNBNLpd48nbgFlX9roj87ew3yRxLNz+0hS/8eJtfOxGlP5HhXx7aiutAe2OURU0xwm6S7oEknlbn+L4AYdchq8qqRU2oKn0jaT5zyWn5LMm6sMvBoSRdA37ySW4ngt7hNI4IguA4/iuJ4pHJKgNJ/ynT3hjLZ1U21YVpqgsznMrQ3hizIGeOuVocupxJoNstIhuAi4AbRCTKzJJZTBm65ZGX8Twdlz6b9WBvX5LeoTTRkMM0NyyoSIo/5xZx/T/nXC3KsVmSrXG/JzeUzOarnHQPJBlIZPx1c54/B5cNCl97qnQNJOgbSeeHRCcrA2bMXMqVAKvBDt2MAtXvAz8AbKjPngAAHjxJREFU1qnqIaAFPxMTABFpnuW2mTm2saOLkbQ36bY5iYxHXyJzzNpUKllVWuMRhlOZfBDa2TtM3ZhaSQsaosyrC/PTa97MVW9aMWrLIlXyuzsIfuCsj4SYVxdmQUPEsipNWbAe3SRUdRj474Lbe4G9Bac8DFhySgW54cGOUjehLLgCi5qieOoPM+YWaC/d5GdQTrTzwIZNnTTXh+kaSI7bZ89xJL89T13YpW8kPWEJMGOOJZujOzpVnItXfTZ2dLGlaxBHqnPebbqiIYclzXW0N8bGbYR61ZtW8Kn7fpVfyD12yHFn7zCt8SjRkMu+vpF8ggnAkvl1NNWFgYm35TGmFCzQHZ3a++1VsNz8k3r+wuZMDUa7sCssaopNuBHq2lXtXA8TFk/OrZnLJZgMJNLsOeQHvP0DCUAJuY7Nx5mykK91WcXz7ROZzUBnKsjO3mEWNkbZ05fAFSFTxe9TQgLhkEsm65EOArojsHheXT4DcqIe12QLuQt7fJmsx+5D/nZGbfEwA4ksuw6NsLItziffvtrm40zZqMUe3WxmTdrQZQVZ2lxPyHVYPK+OUBVuN5z7w64PO/n1cK4jBCsAWNgUpTEWGpV8MlNrV7XnS3ft608G5b7qWDSvnpULGzlxQQPNDVELcqYs5J7lmRrZSqvQlIFORN5c8PXyMff9XsHN35zFdpk5dtWbVpDO+rUYl7c2EKmyYFcXcWmpD5NVWNAQIeT6pbfCrsM7zziOExfE2defoHsgyVAyzYZNnaNqVk7X2lXt3L3+fNoao5zcFs/PywETDokaU0qpbO3V4p9Oj+7Ggq+/Nea+63JfqGrPkTRARF4RkedE5GkReTI41iIiPxKRrcHn5uC4iMjNIrJNRJ4tLEEmIpcH528VkcuPpC21JNcbibgOW7sG8xumukK+11OJQo7QEHFZ0RZn8fw6GmMhlrfGaWmIcM6JLWx479lccsYSDg2n6B1Ok8p6xKOh/JY5RxLswO8hj6RHv4BYEoopJ7nKPMl07U3STWeOTib4utjtI/Ubqnqg4Pa1wMOq+jkRuTa4fQ1wMbAy+DiPoASZiLQAnwbW4CfFPCUi96lq7yy1r6rkNv/c2jXAQCJDc32Yg0MpNCjv5TpSseP4WU+JR0N0dg+SyGRpiIRGJZDc/NAWvrjx5fz6NwH29CVYPK+O8Jj95WZiqgxNY0ot92KdrMFslOn06HSCr4vdni2XAF8Jvv4K8I6C43ep7xfAfBE5Dr/25o9UtScIbj8C1s1R2ypabvPProEEw0k/iWJ/f5J09nCQq+RenQI9QylSWQ9HhPqIm++pbezo4osbX84HccEPjKp+/cmjGWosnK+zReGmHOWyLq1HV9wKEbkP/3Uh9zXB7eUTf9u0KfBDEVFgg6reCiwMFqSjqntFJPdqcTyws+B7dwXHJjo+joisB9YDLFu2bBaaX1kKy1ols4qno/cIzXhKpddB8VSDIAb7+pM4Atd9+1mWLojndx7IiuZLIWU9JZX1Rg015nq9O3uHWTpmWcFEbKsdU24KX++aFy2hCUjVYI9uOoHukoKvbxxz39jbR+KNqronCGY/EpHJynUU62foJMfHH/QD6a0Aa9asqczxuaOws3cYV2DLvv7qLQWkkCm4NE9hV1+SQ4mgbmdWCTkO6eAJn9u1IDfUmOv1hl1hfl04P393PVggMxWl8PVu2amvU4BkuvaSUaYMdKr6SO5rEWkLjnXPVgNUdU/wuUtEvg2cC+wXkeOC3txxQC5DYBewtODblwB7guNrxxzfOFttrCqex6t91b1fbu5pnN83L+i1jqSVtrg/H+kghBzJr6s7saWeay9+DWtXtfOeW38xqphzfcRfhnCk83fGlIP8HF01V2ifwJSBTvxUnU8B/5dgs2URyQD/qqrXH80/LiINgKOqA8HXbwWuB+4DLgc+F3z+bvAt9wEfFZF78JNR+oJg+APg7wsKS78V+MTRtK1aFA7BxSMueweqO8i5Atkxs8q5m1lPyXrKggZ/j71kRomGHD6y9iSuvuiU/Lfs7B1mfsEyAbClAqby5d74pSzQFfVnwIXAOaq6HUBEVgC3iMjHVPWmo/j3FwLfDtJeQ8DXVfVBEXkC+KaIXAnsAN4VnH8/8DZgGzAMXAH+0gYR+QzwRHDe9Ue63KGaFA7BuQJbugaruq6lAC0NEfoTGZIZb9x2JE6wuWpzfYSw64wr6ZV7U9A9kOTAYJKFjTGrV2mqhiAo1qObyGXAWwrT/1W1U0TeC/wQOOJAp6qdwOlFjh+kyAJ0VVXgIxP8rDuAO460LdUol3iS9ZS9fcmKD3LC4d5ZwagkACEHVrY3cs26VTy76xBf+PG2cXOQCxoiNNWFmV8f4YE/e9Oo+wrfFCxqirL7UILdh0awepWmWkjwRi+ZsTm6YsJj1rgB/jydiISLfYMpD7khuO0HhvC08t/FjY3Ti+ZFCbvuuDT+3Nc3PbwVVb8nt6AhwqJ5dahq0SHIsZusigj7+hLs609y1rLmaWVdGlPuXBEbupxA6gjvMyWysaOLGx7sYFfvCLt6R0rdnDmhQPdAirbGSNEkkasvOoVHO3sm3U+u0Nh5ucZYmHg0RN9Ietz2PcZUKtcVG7qcwOki0l/kuACxWW6POUobO7r4y3uf4cBg9b8HyXhKz2CKkHO4h1aYfNMYBCpgymoluS13phMUjalUIUdqcuhyysooquqqalORj0ZVtaHLMrNhUycDiWredMcn4r/TSmZ11CLvXNWX+XVhDo2k6BtJ8+rBIbZ2DRJ2ZMJqJbki18OpDKp6VLsaGFOuQk5tDl3O5jY9pgzs7B0m41X/H7IWLBvIBaPCebbBZIaDg35vLhpyWdJcx/AkpY+shJepBSHXsaFLU9k2dnTRP5KmVv6OBTh+fiwfjArn2boHkoiAg5DKetNa9G0lvEy1sx6dqWi5Ybv6iFu1O+DmCk0LEAs5tMYjfPYdr8vfX7hVTirr+enUChHX/zO3Rd+m1oUsGcVUolzyxROvHMyvk6vk+TknCE6u42+UmjO/Lsz8+jBd/QmSWeXMIin/hVvlhAvKe7XG/ZwpSy4xtS7kODWZjGKBroLlenGpTLYqhisdYVSwjoYcBFg0L0ZjzB+SdB2hvTFWNOV/7ap2rsefq+sbSef32muMhSy5xBhqd+jSAl0FyyVfHBzMjKsUUgnCjpBVzQc3Tw9XP8l6StgBxU+HjmtoWpuZFs6z5Xq7u3qHx5X7MqYW2dClqTi55At/k9ExxYwrgOsImlUKn3aFl5DKKu2NEXqG0qSzysr2xhkFK0suMWa0kOPYxqumsuQWObsipMdWMC5zfmBWomGXTKr4nIGn0NYYoyEamnC40hgzfSFX8glbtcSyLivYVW9aQf9ImkSFDUU44u8ysKylnuWtDflsyojrz8lJwXlg2ZLGzJaI6zCcypS6GcecBboKV1n9ON/ipig3Xnp6fnH24nmxYAsd/2py19TaEAEsW9KY2RILuwwkai/Q2dBlBduwqZN5dWEODqYqJuBFQw7iOOPmz25+aAu3/Ww7g57/JJxfF6K9KWbZksbMoljYYTiVJZ31CLu108+xQFfBcskoIQcqZX65LuwU7Z1dfdEp+V2+LVvSmLkRC7sADCYyNAcjJrXAAl0FKtwJe++hkYrKthxJe1P2zixb0pi5UR/xA93BoVRNBbra6btWicIK/TFXKiLIFSaXNMZCFsSMKZHmej+47ayx5C4LdBXmhgc76OpPsP3AEH3JykgTViDsCu2NUVa2N5a6OcbUrAXxKABb9w+UuCXHlg1dVoDcUOXWrgEODKZwg3qQlWRBQ4RIyLWkEmNKKB4Nsaylnqde7S11U44pC3RlLjdUGXaF4aSfkVgJw5VjLW+NW1KJMWXg3OUt/PBX+0iks/nklGpnQ5dlLjdUuaNneNKNQ8tZ2BULcsaUiUvOWEx/IsMPX9hf6qYcMxboytjGji62dA2S8TwyZdyNm2r/u9Z4hA2bOo9JW4wxk3v14DBLmuu47aedeF75vq7MJgt0ZexzD7xI1lMyXnlXQImF3fzmpnA48AmwsDHKgoaolfAypkw4Inz8rafw7K4+7nliZ6mbc0xYoCtTGzu6eGn/YKmbMSU/MUYRwHX84OY40BBxOWFBPe1NMSvhZUyZeccZx3Pu8hb+4YEXebm7/F9njpYFujK1YVMnMtWYYIkJfm8uq0rIFdriUU5dGOf4+fUsmhcjHrUNT40pRyLCP7/rdCKuwwfufIKeoVSpmzSnLNCVqZ29w5TL8HnhH4kjcNy8KK3xCK3xCIvmxTh1YSOL5sWIhFyuvfg1XP+7r80XbG5vjHH9777WElGMKTNLW+q59bKz2duX4Io7n+DQcPUGO1teUK7KaKHc6sVNHBxK0jOUpjHqcuKCeL6HNlFNSgtsxpS/s09o4Yt/eBYf+c/NvPvWX3DXlefS3hgrdbNmnQW6MrSxo4tdhxIlbYMULErvG0lz4oI4//DO8UsELKAZU9nesnohd7z/HNZ/9Une9aVH+fL7z2FFW7zUzZpVNnRZZnILxEstF+RCDvz0mjdz9/rzLagZU6UuXNnK1z54HgOJDO/895/zWOfBUjdpVlmgKzOfe+BFdvSUPhVfxP/jsNqUxtSGs5Y1850Pv5HWeIT33v4Y33tmT6mbNGss0JWRjR1ddBzjJQWCH9TCjr9UAPxeXNR1WBCPcM26Vce0PcaY0lm2oJ7//pM3cubSZq6+55d844kdpW7SrLA5ujLy0a8/dUz/PQEiIQdVWDw/RjKTZSiZZV5d2DY8NaaKff2xyQPY2153HIdGUlzzref4xcs9nLO85Ri1bGp/eN6yGX+PBboycfNDWxhMHZtalvURl7qQcCiRQYBF86K4jhB2XW5+9+stuBlT4yIhh/eefwJfffRVvvfsHpa2+GtjK1VVDV2KyDoReUlEtonItaVuz0z8y0Nb5+xnC/7Q5LKWeu58/zm8cP06nvrUb3H7Zedw5rJmPMXWuxljRgk5Du9as5RY2OWeJ3aQLZeFvUeganp0IuICXwTeAuwCnhCR+1T1hdK2rHQEf+eArMLJ7XGuWbdqVCBbu6rdApsxZkLxaIi3rF7It3+5m+7BJIuaKrNXVzWBDjgX2KaqnQAicg9wCVBTgS7s+GW5RISIK6xc2GRzbcaYI7akuQ6A/X0JC3Rl4HigsBT3LuC8sSeJyHpgPcCyZTOf1CxXf37RSq6+6JRSN8MYU0bGvt4dSSLHI1u6AXjTKW28/fXHzWr7jpVqmqMrVgJ53KCyqt6qqmtUdU1bW9sxaNbccQRes6iRO99/jgU5Y8w4R/t6p6rc/rPttMajXLS6ckeFqqlHtwtYWnB7CVARKx4ffH7vjM5ftbCBBz+2dm4aY4wxgZt+tIVNW7q59uJVRENuqZtzxKop0D0BrBSR5cBu4N3AH5a2SVO75/Ed/PW3n5vWue884zhuevdZc9wiY0ytU1W++JNt3PzjbfzBmqWs/7XK3maragKdqmZE5KPADwAXuENVS180cgKqyi2PvMw/PvgSAKcvmceXrziXloZIiVtmjKllQ8kMf/Pt5/jO03u45IzF/P3vvQ7HKfPNMadQNYEOQFXvB+4vdTum4nnK39//Irf9bDsAF57cypfedzbxaFU9HMaYCrOta4A/+dpmtnUP8vG3nMJHfuPkig9yUGWBrhKksx7Xfus5vrV5FwBvf91x/MsfnF7R49/GmMp33zN7uPZbz1IXdvnqB87jwpWtpW7SrLFAdwwl0lk++vXNPPRiFwB/dN4yrr/kNNwqeMdkjKlMqYzH3/3PC3zl0Vc5+4Rm/u0Pz+S4eXWlbtasskB3jPSNpPngV57giVd6Abj6zSfzsbecgogFOWNMafQMpfjQ157i8e09fPDC5Vxz8SrCbjWtOvNZoDsGugYSXHb743TsGwDg07+zmiveuLzErTLG1LJtXQN84M4n2def4AvvPoNLzji+1E2aMxbo5tirB4d43+2Ps6NnmJAj3Piu03nHmdX7B2WMKX/bugZ515cexXWEu//4fM4+obnUTZpTFujm0At7+rnsjsc4MJgiFna45Y/O5jes5qQxpoR2Hxrhfbc/hus43PuhCzixtaHUTZpzFujmyOPbe7jyK08wkMjQFAtxx/vPYc2J5bN5oTGm9qSzHn/8lScZTGb4xvraCHJggW5OPPzifj78n5tJZjzaG6PcdeW5rFrUVOpmGWNq3G0/3c4Le/v50nvPZvXi2nlNskA3y7711C7+6lvPkvWUExfU89Urz2NpS32pm2WMqXEZT/n8Q1v4rdcuZN1pi0rdnGPKAt0suu2nnXz2f14E4LWLm7jzinNpa4yWuFXGGAO9Qykk4/FX61aVuinHnAW6WaCq3PjDl/jiT14G4LzlLfzH5WtoioVL3DJjjPH1DqdYd2ILJ7XFS92UY84C3VHKesp133meux/fAcBbVy/k5vecSSxsJb2MMeUjmfEqek+5o2GB7igkM1n+7J6neeD5fQD8/pol/P07X0eoCisLGGMq3xlLq3u93EQs0B2hwWSG9Xc9yc9fPgjAVb++gmvXrbKSXsaYsrWyvfaGLcEC3RE5OJjk/V9+gud29wHw129bxfo3nVTiVhljzMQEmF9fm3kDFuhmaFfvMJfd/jidB4ZwHeEffu91/P6apaVuljHGTKqpLlyzI04W6GZgy/4BLrv9cfb1J4iEHP7tPWfy1tfW1noUY0xlWlbD63kt0E3T5h29XPHlJ+gbSROPhrjt8jWcv2JBqZtljDFmChbopuGRLd186KtPMZLOsiAe4StXnMtpx88rdbOMMcZMgwW6Kdz3zB4+/s2nSWeVJc11fO3K82qmEKoxxlQDC3ST+Oqjr/Cp+36FKpy6sJG7rjyXhU2xUjfLGGPMDFigK0JV+fxDW/nCw1sBOPuEZu64/Bzm1WhqrjHGVDILdGN4nvK33/sVdz36KgBrT23jlj86m7qIlfQyxphKZIGuQCrj8fH/eobvPbMHgHecsZh/etfphK2klzHGVCwLdIHhVIYPfW0zm7Z0A3DFG0/kk29fjePU5gJLY4ypFhbo8PdpuuLOJ3h65yEAPv6WU/jom0+u2SoCxhhTTWo+0O3tG+Gy2x9na9cgIvCZS07jveefUOpmGWOMmSU1HeiSGY//c8vP2XMoQdgVPv8HZ/L21x9X6mYZY4yZRTUd6F7uHqT9UIL6iMut71vDhStbS90kY4wxs6ymA13WU1rqI3z5inM4fen8UjfHGGPMHKjpQBd2Hb75oQs4uUY3IzTGmFpQ0wvETmprsCBnjDFVrqYDnS0EN8aY6mev9MYYY6payQKdiPytiOwWkaeDj7cV3PcJEdkmIi+JyG8VHF8XHNsmItcWHF8uIo+JyFYR+YaIRI719RhjjClPpe7R3aSqZwQf9wOIyGrg3cBrgXXAv4uIKyIu8EXgYmA18J7gXIAbgp+1EugFrjzWF2KMMaY8lTrQFXMJcI+qJlV1O7ANODf42KaqnaqaAu4BLhG/TtebgXuD7/8K8I4StNsYY0wZKnWg+6iIPCsid4hIc3DseGBnwTm7gmMTHV8AHFLVzJjjRYnIehF5UkSe7O7unq3rMMaYsmOvd745DXQi8pCIPF/k4xLgFuAk4AxgL/DPuW8r8qP0CI4Xpaq3quoaVV3T1tY2o+sxxphKYq93vjldMK6qF03nPBH5D+D7wc1dwNKCu5cAe4Kvix0/AMwXkVDQqys83xhjTI0rZdZlYfXkdwLPB1/fB7xbRKIishxYCTwOPAGsDDIsI/gJK/epqgI/AS4Nvv9y4LvH4hqMMcaUv1KWAPtHETkDf5jxFeAqAFX9lYh8E3gByAAfUdUsgIh8FPgB4AJ3qOqvgp91DXCPiHwW+CVw+7G8EGOMMeWrZIFOVd83yX1/B/xdkeP3A/cXOd6Jn5VpjDHGjFLqrEtjjDFmTlmgM8YYU9XEz+WoTSLSDbxa6nYU0YqfTVotqul6qulawK6n3E11PQdUdd10fpCIPDjdc6tNTQe6ciUiT6rqmlK3Y7ZU0/VU07WAXU+5q7brKRUbujTGGFPVLNAZY4ypahboytOtpW7ALKum66mmawG7nnJXbddTEjZHZ4wxpqpZj84YY0xVs0BnjDGmqlmgKyMisk5EXhKRbSJybanbMx0islREfiIiL4rIr0TkT4PjLSLyIxHZGnxuDo6LiNwcXOOzInJWaa9gvGBH+1+KyPeD28tF5LHgWr4RFBUnKDz+jeBaHhORE0vZ7omIyHwRuVdEOoLH6YJKfXxE5GPB39nzInK3iMQq7fEJ9t/sEpHnC47N+PEQkcuD87eKyOWluJZKYYGuTIiIC3wRuBhYDbxHRFaXtlXTkgE+rqqvAc4HPhK0+1rgYVVdCTwc3Ab/+lYGH+vx9yUsN38KvFhw+wbgpuBaeoErg+NXAr2qejJwU3BeOfoC8KCqrgJOx7+2int8ROR44Gpgjaqehl/c/d1U3uNzJzB24faMHg8RaQE+DZyHX+f303J482ozlqraRxl8ABcAPyi4/QngE6Vu1xFcx3eBtwAvAccFx44DXgq+3gC8p+D8/Hnl8IG/n+HDwJvx90gU/MoUobGPE/5OGhcEX4eC86TU1zDmepqA7WPbVYmPD3A8sBNoCX7f3wd+qxIfH+BE4PkjfTyA9wAbCo6POs8+Rn9Yj6585J7EObuCYxUjGBo6E3gMWKiqewGCz+3BaeV+nZ8H/grwgtsLgEPqb+oLo9ubv5bg/r7g/HKyAugGvhwMx94mIg1U4OOjqruBG4EdwF783/dTVPbjkzPTx6NsH6dyZIGufEiRYxWz9kNE4sC3gD9T1f7JTi1yrCyuU0R+G+hS1acKDxc5VadxX7kIAWcBt6jqmcAQh4fFiinbawqG5i4BlgOLgQb8ob2xKunxmcpE11AN13bMWKArH7uApQW3lwB7StSWGRGRMH6Q+09V/e/g8P7cLvLB567geDlf5xuB3xWRV4B78IcvPw/MF5Hc3o2F7c1fS3D/PKDnWDZ4GnYBu1T1seD2vfiBrxIfn4uA7ararapp4L+BN1DZj0/OTB+Pcn6cyo4FuvLxBLAyyCCL4E+y31fiNk1JRAR/R/cXVfVfCu66D8hlgl2OP3eXO35ZkE12PtCXG7IpNVX9hKouUdUT8X//P1bVPwJ+AlwanDb2WnLXeGlwflm9q1bVfcBOETk1OPSbwAtU4OODP2R5vojUB393uWup2MenwEwfjx8AbxWR5qCn+9bgmCmm1JOE9nH4A3gbsAV4GfibUrdnmm2+EH/I5Fng6eDjbfhzIQ8DW4PPLcH5gp9d+jLwHH4GXcmvo8h1rQW+H3y9Angc2Ab8FxANjseC29uC+1eUut0TXMsZwJPBY/QdoLlSHx/g/wEdwPPAV4FopT0+wN34c4xp/J7ZlUfyeAAfCK5tG3BFqa+rnD+sBJgxxpiqZkOXxhhjqpoFOmOMMVXNAp0xxpiqZoHOGGNMVbNAZ4wxpqpZoDOmCBH5m6BK/rMi8rSIfFpEvlNw/ydEZFvB7d8RkfuCr+MicouIvByU3XpKRP44uO9EERkJjr8oIo8XVp4XkfeLiCciry849ny5VN43phKFpj7FmNoiIhcAvw2cpapJEWnFLzf14YLTLgD6RaRdVbvwK3T8b3DfbUAnsFJVPRFpw1/zlPOy+uW4EJEVwH+LiKOqXw7u3wX8DfAHc3SJxtQU69EZM95xwAFVTQKo6gFVfRXoE5GTg3OOxy979obg9huAn4vISfjbplynql7w/d2qWnSLGFXtBP4cf/uZnO8Dry2oZmKMOQoW6IwZ74fAUhHZIiL/LiK/Hhz/OfCGIABtBX4R3A4Br8cv4/Za4JlckJumzcCqgtse8I/AXx/ldRhjsEBnzDiqOgicjb/RZTfwDRF5P/7Q5BuCj0fxy0qdh7810Uuqmhj7s4K5vqdFZLKCu8Uq0X8dv67j8qO5FmOMBTpjilLVrKpuVNVPAx8F/g9Bjy74eFRVB/DrKa7l8PzcC8DpIuIEP+fvVPUM/A1QJ3Imo3c0R/390/4ZuGbWLsqYGmWBzpgxRORUEVlZcOgM4FX8ILYY+DXgl8F9TwMfwg+CqOo2/ALKnxURN/h5MYr32nKb1d4I/GuRu+/E35qm7Wiux5haZ1mXxowXB/5VROYDGfzq8OtVVUXkMWCe+vuhgT+EuZ4g0AU+CPwTsE1EeoARRvfMThKRX+L3BgeAfy3IuMxT1ZSI3Ax8YXYvz5jaYrsXGGOMqWo2dGmMMaaqWaAzxhhT1SzQGWOMqWoW6IwxxlQ1C3TGGGOqmgU6Y4wxVc0CnTHGmKr2/wFxwH/ReBmNSAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='SWTDN', y='DE_solar_generation_actual', data=combined, kind='reg')\n",
    "sns.jointplot(x='SWGDN', y='DE_solar_generation_actual', data=combined, kind='reg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Linear regression algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Given the observations above, I’m going to try a linear regression algorithm in order to predict the wind and solar generation from some of the above weather quantities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import necessary modules\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "# instantiate LinearRegression\n",
    "lr = LinearRegression()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.1. Wind generation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To predict the wind generation, we construct the features matrix `X_wind` with the features v1, v2 and v_50m, and the target `Y_wind` with actual wind generation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_wind = combined[['v1', 'v2', 'v_50m', 'z0']]\n",
    "y_wind = combined['DE_wind_generation_actual']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, we implement a 5-fold CV procedure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.83709573 0.89114316 0.81583076 0.87216318 0.85405042] \n",
      "average = 0.8540566509869567\n"
     ]
    }
   ],
   "source": [
    "scores_wind = cross_val_score(lr, X_wind, y_wind, cv=5)\n",
    "print(scores_wind, \"\\naverage =\", np.mean(scores_wind))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first line contains the five values of $R^2$ for each of the 5 folds in the cross validation procedure, whereas the second line is their average. We see that our linear model has an $R^2$ of approximately 0.87, which is quite good for such a simple model! We can make good predictions about the wind generation in Germany in 2016 given only the wind velocities at different heights."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.2. Solar generation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To predict the solar generation, we follow a very similar procedure. We again construct the features matrix `X_solar`, but now with the features SWTDN, SWGDN and T, and the target `Y_solar` with actual solar generation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_solar = combined[['SWTDN', 'SWGDN', 'T']]\n",
    "y_solar = combined['DE_solar_generation_actual']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, we implement a 5-fold CV procedure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.8901974  0.95027431 0.95982151 0.95090201 0.8715077 ] \n",
      "average = 0.9245405855731855\n"
     ]
    }
   ],
   "source": [
    "scores_solar = cross_val_score(lr, X_solar, y_solar, cv=5)\n",
    "print(scores_solar, \"\\naverage =\", np.mean(scores_solar))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get an even better value of $R^2$! We can make good predictions about the solar generation in Germany in 2016 given only the temperature and top-of-the-atmosphere and ground radiation."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:renewable-energy-weather]",
   "language": "python",
   "name": "conda-env-renewable-energy-weather-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}