{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example for using the Pvlib model\n",
    "\n",
    "The `Pvlib` model can be used to determine the feed-in of a photovoltaic module using the pvlib.\n",
    "The [pvlib](https://github.com/pvlib/pvlib-python) is a python library for simulating the performance of photovoltaic energy systems. For more information check out the [documentation of the pvlib](https://pvlib-python.readthedocs.io/en/stable/).\n",
    "\n",
    "The following example shows you how to use the `Pvlib` model.\n",
    "\n",
    "* [Set up Photovoltaic object](#photovoltaic_object)\n",
    "* [Get weather data](#weather_data)\n",
    "* [Calculate feed-in](#feedin)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up Photovoltaic object <a class=\"anchor\" id=\"photovoltaic_object\"></a>\n",
    "\n",
    "To calculate the feed-in using the `Pvlib` model you have to set up a `Photovoltaic` object. You can import it as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from feedinlib import Photovoltaic\n",
    "\n",
    "# suppress warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To set up a Photovoltaic system you have to provide all PV system parameters required by the `PVlib` model. The required parameters can be looked up in the [model's documentation](https://feedinlib.readthedocs.io/en/features-design-skeleton/temp/feedinlib.models.Pvlib.html#feedinlib.models.Pvlib.power_plant_requires).\n",
    "For the `Pvlib` model these are the **azimuth** and **tilt** of the module as well as the **albedo or surface type**. Furthermore, the **name of the module and inverter** are needed to obtain technical parameters from the provided module and inverter databases. For an overview of the provided modules and inverters you can use the function `get_power_plant_data()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from feedinlib import get_power_plant_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Advent_Solar_Ventura_210___2008_</th>\n",
       "      <th>Advent_Solar_Ventura_215___2009_</th>\n",
       "      <th>Aleo_S03_160__2007__E__</th>\n",
       "      <th>Aleo_S03_165__2007__E__</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Vintage</th>\n",
       "      <td>2008</td>\n",
       "      <td>2009</td>\n",
       "      <td>2007 (E)</td>\n",
       "      <td>2007 (E)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Area</th>\n",
       "      <td>1.646</td>\n",
       "      <td>1.646</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Material</th>\n",
       "      <td>mc-Si</td>\n",
       "      <td>mc-Si</td>\n",
       "      <td>c-Si</td>\n",
       "      <td>c-Si</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cells_in_Series</th>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parallel_Strings</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Isco</th>\n",
       "      <td>8.34</td>\n",
       "      <td>8.49</td>\n",
       "      <td>5.1</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Voco</th>\n",
       "      <td>35.31</td>\n",
       "      <td>35.92</td>\n",
       "      <td>43.5</td>\n",
       "      <td>43.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Impo</th>\n",
       "      <td>7.49</td>\n",
       "      <td>7.74</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vmpo</th>\n",
       "      <td>27.61</td>\n",
       "      <td>27.92</td>\n",
       "      <td>35.6</td>\n",
       "      <td>35.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aisc</th>\n",
       "      <td>0.00077</td>\n",
       "      <td>0.00082</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>0.0003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aimp</th>\n",
       "      <td>-0.00015</td>\n",
       "      <td>-0.00013</td>\n",
       "      <td>-0.00025</td>\n",
       "      <td>-0.00025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C0</th>\n",
       "      <td>0.937</td>\n",
       "      <td>1.015</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C1</th>\n",
       "      <td>0.063</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bvoco</th>\n",
       "      <td>-0.133</td>\n",
       "      <td>-0.135</td>\n",
       "      <td>-0.152</td>\n",
       "      <td>-0.152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mbvoc</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bvmpo</th>\n",
       "      <td>-0.135</td>\n",
       "      <td>-0.136</td>\n",
       "      <td>-0.158</td>\n",
       "      <td>-0.158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mbvmp</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N</th>\n",
       "      <td>1.495</td>\n",
       "      <td>1.373</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C2</th>\n",
       "      <td>0.0182</td>\n",
       "      <td>0.0036</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C3</th>\n",
       "      <td>-10.758</td>\n",
       "      <td>-7.2509</td>\n",
       "      <td>-8.96</td>\n",
       "      <td>-8.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A0</th>\n",
       "      <td>0.9067</td>\n",
       "      <td>0.9323</td>\n",
       "      <td>0.938</td>\n",
       "      <td>0.938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A1</th>\n",
       "      <td>0.09573</td>\n",
       "      <td>0.06526</td>\n",
       "      <td>0.05422</td>\n",
       "      <td>0.05422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2</th>\n",
       "      <td>-0.0266</td>\n",
       "      <td>-0.01567</td>\n",
       "      <td>-0.009903</td>\n",
       "      <td>-0.009903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A3</th>\n",
       "      <td>0.00343</td>\n",
       "      <td>0.00193</td>\n",
       "      <td>0.0007297</td>\n",
       "      <td>0.0007297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A4</th>\n",
       "      <td>-0.0001794</td>\n",
       "      <td>-9.81e-05</td>\n",
       "      <td>-1.907e-05</td>\n",
       "      <td>-1.907e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B1</th>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "      <td>-0.002438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B2</th>\n",
       "      <td>0.00031</td>\n",
       "      <td>0.00031</td>\n",
       "      <td>0.0003103</td>\n",
       "      <td>0.0003103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B3</th>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "      <td>-1.246e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B4</th>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "      <td>2.11e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B5</th>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "      <td>-1.36e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DTC</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FD</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>-3.45</td>\n",
       "      <td>-3.47</td>\n",
       "      <td>-3.56</td>\n",
       "      <td>-3.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>-0.077</td>\n",
       "      <td>-0.087</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>-0.075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C4</th>\n",
       "      <td>0.972</td>\n",
       "      <td>0.989</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C5</th>\n",
       "      <td>0.028</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IXO</th>\n",
       "      <td>8.25</td>\n",
       "      <td>8.49</td>\n",
       "      <td>5.04</td>\n",
       "      <td>5.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IXXO</th>\n",
       "      <td>5.2</td>\n",
       "      <td>5.45</td>\n",
       "      <td>3.16</td>\n",
       "      <td>3.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C6</th>\n",
       "      <td>1.067</td>\n",
       "      <td>1.137</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C7</th>\n",
       "      <td>-0.067</td>\n",
       "      <td>-0.137</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Notes</th>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "      <td>Source: Sandia National Laboratories Updated 9...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Advent_Solar_Ventura_210___2008_  \\\n",
       "Vintage                                                        2008   \n",
       "Area                                                          1.646   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                           8.34   \n",
       "Voco                                                          35.31   \n",
       "Impo                                                           7.49   \n",
       "Vmpo                                                          27.61   \n",
       "Aisc                                                        0.00077   \n",
       "Aimp                                                       -0.00015   \n",
       "C0                                                            0.937   \n",
       "C1                                                            0.063   \n",
       "Bvoco                                                        -0.133   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.135   \n",
       "Mbvmp                                                             0   \n",
       "N                                                             1.495   \n",
       "C2                                                           0.0182   \n",
       "C3                                                          -10.758   \n",
       "A0                                                           0.9067   \n",
       "A1                                                          0.09573   \n",
       "A2                                                          -0.0266   \n",
       "A3                                                          0.00343   \n",
       "A4                                                       -0.0001794   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                          0.00031   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.45   \n",
       "B                                                            -0.077   \n",
       "C4                                                            0.972   \n",
       "C5                                                            0.028   \n",
       "IXO                                                            8.25   \n",
       "IXXO                                                            5.2   \n",
       "C6                                                            1.067   \n",
       "C7                                                           -0.067   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                   Advent_Solar_Ventura_215___2009_  \\\n",
       "Vintage                                                        2009   \n",
       "Area                                                          1.646   \n",
       "Material                                                      mc-Si   \n",
       "Cells_in_Series                                                  60   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                           8.49   \n",
       "Voco                                                          35.92   \n",
       "Impo                                                           7.74   \n",
       "Vmpo                                                          27.92   \n",
       "Aisc                                                        0.00082   \n",
       "Aimp                                                       -0.00013   \n",
       "C0                                                            1.015   \n",
       "C1                                                           -0.015   \n",
       "Bvoco                                                        -0.135   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.136   \n",
       "Mbvmp                                                             0   \n",
       "N                                                             1.373   \n",
       "C2                                                           0.0036   \n",
       "C3                                                          -7.2509   \n",
       "A0                                                           0.9323   \n",
       "A1                                                          0.06526   \n",
       "A2                                                         -0.01567   \n",
       "A3                                                          0.00193   \n",
       "A4                                                        -9.81e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                          0.00031   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.47   \n",
       "B                                                            -0.087   \n",
       "C4                                                            0.989   \n",
       "C5                                                            0.012   \n",
       "IXO                                                            8.49   \n",
       "IXXO                                                           5.45   \n",
       "C6                                                            1.137   \n",
       "C7                                                           -0.137   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S03_160__2007__E__  \\\n",
       "Vintage                                                    2007 (E)   \n",
       "Area                                                           1.28   \n",
       "Material                                                       c-Si   \n",
       "Cells_in_Series                                                  72   \n",
       "Parallel_Strings                                                  1   \n",
       "Isco                                                            5.1   \n",
       "Voco                                                           43.5   \n",
       "Impo                                                           4.55   \n",
       "Vmpo                                                           35.6   \n",
       "Aisc                                                         0.0003   \n",
       "Aimp                                                       -0.00025   \n",
       "C0                                                             0.99   \n",
       "C1                                                             0.01   \n",
       "Bvoco                                                        -0.152   \n",
       "Mbvoc                                                             0   \n",
       "Bvmpo                                                        -0.158   \n",
       "Mbvmp                                                             0   \n",
       "N                                                              1.25   \n",
       "C2                                                            -0.15   \n",
       "C3                                                            -8.96   \n",
       "A0                                                            0.938   \n",
       "A1                                                          0.05422   \n",
       "A2                                                        -0.009903   \n",
       "A3                                                        0.0007297   \n",
       "A4                                                       -1.907e-05   \n",
       "B0                                                                1   \n",
       "B1                                                        -0.002438   \n",
       "B2                                                        0.0003103   \n",
       "B3                                                       -1.246e-05   \n",
       "B4                                                         2.11e-07   \n",
       "B5                                                        -1.36e-09   \n",
       "DTC                                                               3   \n",
       "FD                                                                1   \n",
       "A                                                             -3.56   \n",
       "B                                                            -0.075   \n",
       "C4                                                            0.995   \n",
       "C5                                                            0.005   \n",
       "IXO                                                            5.04   \n",
       "IXXO                                                           3.16   \n",
       "C6                                                             1.15   \n",
       "C7                                                            -0.15   \n",
       "Notes             Source: Sandia National Laboratories Updated 9...   \n",
       "\n",
       "                                            Aleo_S03_165__2007__E__  \n",
       "Vintage                                                    2007 (E)  \n",
       "Area                                                           1.28  \n",
       "Material                                                       c-Si  \n",
       "Cells_in_Series                                                  72  \n",
       "Parallel_Strings                                                  1  \n",
       "Isco                                                            5.2  \n",
       "Voco                                                           43.6  \n",
       "Impo                                                           4.65  \n",
       "Vmpo                                                           35.8  \n",
       "Aisc                                                         0.0003  \n",
       "Aimp                                                       -0.00025  \n",
       "C0                                                             0.99  \n",
       "C1                                                             0.01  \n",
       "Bvoco                                                        -0.152  \n",
       "Mbvoc                                                             0  \n",
       "Bvmpo                                                        -0.158  \n",
       "Mbvmp                                                             0  \n",
       "N                                                              1.25  \n",
       "C2                                                            -0.15  \n",
       "C3                                                            -8.96  \n",
       "A0                                                            0.938  \n",
       "A1                                                          0.05422  \n",
       "A2                                                        -0.009903  \n",
       "A3                                                        0.0007297  \n",
       "A4                                                       -1.907e-05  \n",
       "B0                                                                1  \n",
       "B1                                                        -0.002438  \n",
       "B2                                                        0.0003103  \n",
       "B3                                                       -1.246e-05  \n",
       "B4                                                         2.11e-07  \n",
       "B5                                                        -1.36e-09  \n",
       "DTC                                                               3  \n",
       "FD                                                                1  \n",
       "A                                                             -3.56  \n",
       "B                                                            -0.075  \n",
       "C4                                                            0.995  \n",
       "C5                                                            0.005  \n",
       "IXO                                                            5.14  \n",
       "IXXO                                                           3.25  \n",
       "C6                                                             1.15  \n",
       "C7                                                            -0.15  \n",
       "Notes             Source: Sandia National Laboratories Updated 9...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get modules\n",
    "module_df = get_power_plant_data(dataset='sandiamod')\n",
    "# print the first four modules\n",
    "module_df.iloc[:, 1:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>ABB__MICRO_0_25_I_OUTD_US_240__240V_</th>\n",
       "      <th>ABB__MICRO_0_3_I_OUTD_US_208__208V_</th>\n",
       "      <th>ABB__MICRO_0_3_I_OUTD_US_240__240V_</th>\n",
       "      <th>ABB__MICRO_0_3HV_I_OUTD_US_208__208V_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Vac</th>\n",
       "      <td>240</td>\n",
       "      <td>208</td>\n",
       "      <td>240</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pso</th>\n",
       "      <td>2.24041</td>\n",
       "      <td>1.84651</td>\n",
       "      <td>1.95054</td>\n",
       "      <td>1.76944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paco</th>\n",
       "      <td>250</td>\n",
       "      <td>300</td>\n",
       "      <td>300</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pdco</th>\n",
       "      <td>259.492</td>\n",
       "      <td>311.669</td>\n",
       "      <td>311.581</td>\n",
       "      <td>312.421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vdco</th>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C0</th>\n",
       "      <td>-3.9e-05</td>\n",
       "      <td>-3.3e-05</td>\n",
       "      <td>-3.4e-05</td>\n",
       "      <td>-4.5e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C1</th>\n",
       "      <td>-0.000132</td>\n",
       "      <td>-0.000192</td>\n",
       "      <td>-0.000256</td>\n",
       "      <td>-0.000196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C2</th>\n",
       "      <td>0.002418</td>\n",
       "      <td>0.000907</td>\n",
       "      <td>0.002453</td>\n",
       "      <td>0.001959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C3</th>\n",
       "      <td>-0.014926</td>\n",
       "      <td>-0.031742</td>\n",
       "      <td>-0.028223</td>\n",
       "      <td>-0.023725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pnt</th>\n",
       "      <td>0.075</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vdcmax</th>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idcmax</th>\n",
       "      <td>6.4873</td>\n",
       "      <td>7.79173</td>\n",
       "      <td>7.78952</td>\n",
       "      <td>6.94269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mppt_low</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mppt_high</th>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CEC_Date</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CEC_Type</th>\n",
       "      <td>Utility Interactive</td>\n",
       "      <td>Utility Interactive</td>\n",
       "      <td>Utility Interactive</td>\n",
       "      <td>Utility Interactive</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ABB__MICRO_0_25_I_OUTD_US_240__240V_  \\\n",
       "Vac                                        240   \n",
       "Pso                                    2.24041   \n",
       "Paco                                       250   \n",
       "Pdco                                   259.492   \n",
       "Vdco                                        40   \n",
       "C0                                    -3.9e-05   \n",
       "C1                                   -0.000132   \n",
       "C2                                    0.002418   \n",
       "C3                                   -0.014926   \n",
       "Pnt                                      0.075   \n",
       "Vdcmax                                      50   \n",
       "Idcmax                                  6.4873   \n",
       "Mppt_low                                    30   \n",
       "Mppt_high                                   50   \n",
       "CEC_Date                                   NaN   \n",
       "CEC_Type                   Utility Interactive   \n",
       "\n",
       "          ABB__MICRO_0_3_I_OUTD_US_208__208V_  \\\n",
       "Vac                                       208   \n",
       "Pso                                   1.84651   \n",
       "Paco                                      300   \n",
       "Pdco                                  311.669   \n",
       "Vdco                                       40   \n",
       "C0                                   -3.3e-05   \n",
       "C1                                  -0.000192   \n",
       "C2                                   0.000907   \n",
       "C3                                  -0.031742   \n",
       "Pnt                                      0.09   \n",
       "Vdcmax                                     50   \n",
       "Idcmax                                7.79173   \n",
       "Mppt_low                                   30   \n",
       "Mppt_high                                  50   \n",
       "CEC_Date                                  NaN   \n",
       "CEC_Type                  Utility Interactive   \n",
       "\n",
       "          ABB__MICRO_0_3_I_OUTD_US_240__240V_  \\\n",
       "Vac                                       240   \n",
       "Pso                                   1.95054   \n",
       "Paco                                      300   \n",
       "Pdco                                  311.581   \n",
       "Vdco                                       40   \n",
       "C0                                   -3.4e-05   \n",
       "C1                                  -0.000256   \n",
       "C2                                   0.002453   \n",
       "C3                                  -0.028223   \n",
       "Pnt                                      0.09   \n",
       "Vdcmax                                     50   \n",
       "Idcmax                                7.78952   \n",
       "Mppt_low                                   30   \n",
       "Mppt_high                                  50   \n",
       "CEC_Date                                  NaN   \n",
       "CEC_Type                  Utility Interactive   \n",
       "\n",
       "          ABB__MICRO_0_3HV_I_OUTD_US_208__208V_  \n",
       "Vac                                         208  \n",
       "Pso                                     1.76944  \n",
       "Paco                                        300  \n",
       "Pdco                                    312.421  \n",
       "Vdco                                         45  \n",
       "C0                                     -4.5e-05  \n",
       "C1                                    -0.000196  \n",
       "C2                                     0.001959  \n",
       "C3                                    -0.023725  \n",
       "Pnt                                        0.09  \n",
       "Vdcmax                                       60  \n",
       "Idcmax                                  6.94269  \n",
       "Mppt_low                                     30  \n",
       "Mppt_high                                    60  \n",
       "CEC_Date                                    NaN  \n",
       "CEC_Type                    Utility Interactive  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get inverter data\n",
    "inverter_df = get_power_plant_data(dataset='cecinverter')\n",
    "# print the first four inverters\n",
    "inverter_df.iloc[:, 1:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you can set up a PV system to calculate feed-in for, using for example the first module and converter in the databases:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "system_data = {\n",
    "    'module_name': 'Advent_Solar_Ventura_210___2008_',  # module name as in database\n",
    "    'inverter_name': 'ABB__MICRO_0_25_I_OUTD_US_208__208V_',  # inverter name as in database\n",
    "    'azimuth': 180,\n",
    "    'tilt': 30,\n",
    "    'albedo': 0.2}\n",
    "pv_system = Photovoltaic(**system_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Optional power plant parameters**\n",
    "\n",
    "Besides the required PV system parameters you can provide optional parameters such as the number of modules per string, etc. Optional PV system parameters are specific to the used model and how to find out about the possible optional parameters is documented in the model's `feedin` method under `power_plant_parameters`. In case of the `Pvlib` model see [here](https://feedinlib.readthedocs.io/en/features-design-skeleton/temp/feedinlib.models.Pvlib.html#feedinlib.models.Pvlib.feedin). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "system_data['modules_per_string'] = 2\n",
    "pv_system_with_optional_parameters = Photovoltaic(**system_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get weather data <a class=\"anchor\" id=\"weather_data\"></a>\n",
    "\n",
    "Besides setting up your PV system you have to provide weather data the feed-in is calculated with.\n",
    "This example uses open_FRED weather data. For more information on the data and download see the [load_open_fred_weather_data Notebook](load_open_fred_weather_data.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from feedinlib.open_FRED import Weather\n",
    "from feedinlib.open_FRED import defaultdb\n",
    "from shapely.geometry import Point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# specify latitude and longitude of PV system location\n",
    "lat = 52.4\n",
    "lon = 13.5\n",
    "location = Point(lon, lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# download weather data for June 2017\n",
    "open_FRED_weather_data = Weather(\n",
    "    start='2017-06-01', stop='2017-07-01', \n",
    "    locations=[location],\n",
    "    variables=\"pvlib\",\n",
    "    **defaultdb())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get weather data in pvlib format\n",
    "weather_df = open_FRED_weather_data.df(location=location, lib=\"pvlib\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot irradiance\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "weather_df.loc[:, ['dhi', 'ghi']].plot(title='Irradiance')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Irradiance in $W/m^2$');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate feed-in <a class=\"anchor\" id=\"feedin\"></a>\n",
    "\n",
    "The feed-in can be calculated by calling the `Photovoltaic`'s `feedin` method with the weather data. For the `Pvlib` model you also have to provide the location of the PV system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "feedin = pv_system.feedin(\n",
    "    weather=weather_df,\n",
    "    location=(lat, lon))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4noS5mH26Zj3au0kVYcLhkmU8QubmG1en6dI23vuIs50pkdcNolwK0KeCb6kOaiRb3J3VV1EBvosNy4ZADBJGtxPlhWxc3K16geO2QQyWmIqJmTEXJ1ilotUblCBmB3H+7sZFK9W8ePrR+wPw+/PPDZI8gKrJtPH6Y/UZqUepHlV9dyL3NqHWz1RAkOpSRdkGEf5OfHuLCgpVz26xYfkQiDhBNyJ0s03GteFWYibGZYPQOI0xeXbWwiAzRo4ifiROOH9344oJUarGa7L4hn/9yT3e9isD4m7qohQoV2MzahqKYHY92YZNFdO4bHqjRNkG4W6rBzf65sVi1xwsHwKRbTAqqZZrkhZurplRbUwicZ2NYDFAEYTC390/5pc95VAAwEuefKizXcJFGdNxq5he8Pi0ENWBqyatbZkZ/TjBCqWmbJDC1ykYpLdtmrAWEoSbQPQNAhGibvvWz+7Hpy65NWgcD++ZxfdufjCo7aigb+S+51yu5+F+Fot92S8bAhFnKiaVGdUpQRgeT+MKzFpqXkxq4a+crO/v7uOUEmZ0aHGomH75iQcDKAihhDiXppp37dSflY8b16/b9BxSnHDPk21YScK9ToRuREHr6d3nbMRnv39H0Dj+4F+vwdu/vAEPj7HedR0bxE/uejj/7JsXi33Zj7IexFlEtJWIbtCOnU5Em4no2uzvZdpvHyCiO4joViL61brXGyQJOpqKybWw+oYNYlxRzEvNi2kur/sdvimq2wqpKNfpLA4JQqWMn3HYFdScyQnEiLyYHtjlzvKpqzOalkLVPfm6VbaobofQ7VDj6+nG+3cCAHbUyHHUNDjQi+ne7ftw5d1FKRvfvFB9LdZUO6OUIM4G8BLh+N8y8ynZ30UAQERPQlpI6MnZOf+kKsyFYhAzehHlBjWXaD4wvS4WgZvrkpAgYtP7y//c1Lz3LxSM3QZRpGDxe7cpYrliBOkl9Ll7/jWbnW37JRVTWP93bN0TVKlOzUnfhl/YKiL0OtHI1tM4q+uF2iDM7LreebHIl/3ICAQzXwogtCrcqwCcy8yzzHw3gDsAPKvO9QYZBxoiQQwWi5vrEpUgVtVIUaI4L68EwZzbj8b1KArJ0u8qXRDL0RqpvW1rMhl3bN2DF3/6R/iVv7vU21atIZ/KaKBJEKMkEIvF+O1aq2bKDJ8DzGJf9+OwQbyLiK7LVFAHZMeOAKDnLb4vO1YBEZ1GRBuIaMO2bdvy46mRunBzdaVJNjeCJt0166BsjBzLEGqhmhAxXMXk22QS1ryYxsRWmUkcXYu7b0pTIzJS+1CyQQRsNvdmRWzu2LonoO+w1O66t1OvQ972P7h1q/faOlRv45SyyzYI+zhMg75Pgljc5GHhCcTnADwOwCkAtgD4VN0OmPkMZl7PzOvXrVuXH4+Tspuri9uo5mIaz2sajFB/PAoMo5oLXdxJAkRjjoPICURGAF1BaP0RShB1uEp9DvlUMP04we986af5d3/SuSK1e8gYup0I3SjySpb6GOpgrASiZIOwtzPH6DdSL+51v6AEgpkfZOaYmRMAX0ShRtoM4Cit6ZHZsWD0Y0YnIk2C8BupJ7sRIhqjDUIb4lKwQagxTnbrG2ZDjHXjd3MtE0C3o4OZMr5JCSK8bb+GF5OK2g1t/1DmNfSQx3tIlyA6EY2MwI+TiQrNxWSO0aedWOzLfkEJBBEdpn19DQDl4fRNAG8gokkieiyAEwBcVafvOOHMzS4kF5PG8XSiMXoxJXmSrsXOSQDF5J8MSGeikKuYAtz96ri5+oLYhsHAkCxd9zdrGKlHlYvJB5258W2gZrS3j9PfkxGUT3znFmc7RUi7EYFodHN5nEbqcgJFeztTKvNqJxb5uh9ZAhAiOgfACwE8hojuA/AXAF5IRKcgZRI3Afh9AGDmG4noPAA3ARgAeCcz18pdMEgyCSIoDiKb0B1CL6IxpvtOk3TNDZIlIkGkz2kys92ESRDK0FlHgvD3+2f/cYO3TV0oI/xUkASR/rZKRZU3+P7qbLA6gfCZQcwAtv6AgQlLY6Q2uqJGN+cqQBPFeooQUfMSRKgn3CihX9mlmjO3Ep92YrEv+5ERCGZ+o3D4TEf7jwH42LDXM1NthCzuXhSh1x2d14UPuQQxO17uKBSDXDUXrlYpJAi/kXrcuZjMmiJuNeXo3FxHZaRWBOLZxx2In9y1HbNxDKBnba/nonL1nEvkEYFQj8Dtmuljvyn7GHQsHjdXF4EwJIjgOIjhxzZKLJtI6jRZHwV5MRUqJkI3isaXiynhPEp1KRipCxtEuAShWoRwUsrNdVxQ8yLk/lR6FlWHeXYE2VyfcsRaHHPQSmfbuZIE4VMxqUBHf+3o2UFcKuLk2hRVP91OqmKqM5N/83NXBLcdr5urpmJyvGrzOfmI/WJf9suHQMRJ6uZaIxdT4ZY3PjdX5Tc9irk/iBN8/KKbcdc2v0tjCEwbRJgEkZ7jy8+TZAReP8eFUdCSvsYJdyNyMhlqYy4IRIPZXLP7n+hGXh12yQbhmURqzIpAuN7Jw3vmSt9dryTO11MEIqoV6Hjrg/7CTErl+JYv1TJLNopQCcL8zc8YLW4KsWwIRJxtMFFmKPPlYupEBKLRpAYIxSDhvFDIKMTnWx7YjTMuvQsfufCmRvpThHWyRtZO1cJnEK0bKDcKaaOfvQ+iVBJ1MhmGDULntm2Y6cf4px/e4d001M8Tnci7gdQxUueBjgEEQqWhVnCNQw+Ui2h0XPE499KyDcLeTu07f/nqkxCR30it+hpX7I8Py4ZAqGyuALKEYe7FXbSNxmYgThLOvZhGOYatu5pJchZr7sFAvTF7JYhSoNx40B8kuRTTjaiUjt2Eml+KGzdTLEg468d3468vvhVfucLtgaWYhV438leU04o2BauYpvzp2k2C59oUB5pNLyJa9FzxMKgrQRx94MrUQ9KXzXWREgaF5UMg4oID7UTkjYNQqp1ORGPT/w90AhEwBmbG6d+8EdfdtyOo/5CYkDrIJYg6NoisiVeC0ALlfBvMxTdsGQlBHSTleeEOtkx/U5lt//myu739qw3cF1eQp/HodYLVRkC4BLFm0m83MVVmro1MSRDKg3Dc/hY/3bQd23aHMUWqrOqWndPOdrrazHV76t47pDwkfUbqoGGODcuGQMTMGvfnlgoGScEpdsjNKY4SCWs2iICZsmd2gLP/ZxPeeMZPgvpXBLMpAqg27joR6LmKqY4E4en2khtHUxtgLk5yp4Fuxz2H1DNVkdSbd7g3GKBQ7eydHTjbqY175UTHa+epZYOoGKnDJQhX14VXII3EzbUufvPzV+CVn708qO2XfrwJAHDD5l3Odvr9h3gxRZTOIW+qjZZALAySpJ4EoQLqfJziKKHbIEI28Y9eeDOA+iqYpiWIXifK7DzhRuqE3UbtOpHUXU99gmHRHyQlCcK1gRa1EsKXkCIQPhWT4t5XTHS8HObcoCBqvtdxywPpJrg6cyt1EW1TggjZFLvZvFgMqat9adIV9mTEWtVZtyE01YZi9KLMAaZN1rdIEGsbjK9oicrbBKSbzbheUhwzejX0+V/fkOYzrDvepgiE2hRV3Y267sEuNVPCACnDs+f+fDWSh4WuYlrR6zjtCupWuhFhohvheccf5O1/TWBh+jldgvDs+v04wVQWl+JjMlSBHqXWdBEIJUEcsl9aVc/VtSKkHSVBOEcxPzRNfNTamPAReu2yzkC57Ld0jYRIEJz9DxjsGLB8CERSVCTzSRCDuFBHRTQ+CSJmzYtpBDMkNNV2KPRNMdS4r9+WblA1kXoxIciP3lcjeVjMxYXqceVEB/vmXASi2BSPX7c6z8nkggqqO2L/Fc52s4MEE1kaGN8z7secR7b7Ns8DV6Vh04esSTd9F/FREsRLTzrM23chWY4m1YbeXZ0qho2OQfvsUgern6LMQzLUi2mxYtkQCD0VQNdjHOprnKLP332USI3UYeoBHXUn1cgkiBr1IAA3h6tKjhL89+erkTwsBnGSE+zJXqcUSVxpm2icYqcek7HaI0nM9tMI+w6RX8WkjdmH1zztCKye7OKAjFC4xqwkCGVvco0j1p4FjcAGobs0NxmQqMM35NCCQbmKiVL1Y0ihrMWMZUMgYtYkiI5bgoizOAjAL22MEolGqEbhSdV0DhtzU6wrQbjaJ0mqYiIir+ufr0bysBjEhZqy55kXifYsIvI/i10zffzdf9+enuvzNorjPNOwX4JIcjWl723ESSql5eloHEyUUq8pycglQShGoRdF3lQbZj9POmw/z6jLDEG/YQIROpNCS47qxLITUJ+7TbWxQIg1N8lu5KbcddRRo8SwgXJ1R9uUyF+e/H7uqM44chUT/ItlVCk5dDuWN1BOPQtKpSnfM/6r79yCa+9N3ZN9bZUEUdTHcGzOg0KC8D231HsvypkSlwSoe1KlY7b3qwhPFPkD5YZZa7rAOK59VL8n1/2pdxuRkrI9Kqb8/+KkEMuGQKReMOln36avE5NxEQg9GAqoKUEENg1NlBeKIqUCZWq88GR9+vkSlBdT3Vw+TSJONAnC5+aqCEQWve/TNYcmvgPSzTmVIPxxBXNxkTLe13OcFNIf4JYsH9k7h4lOlFcPdEsQhVdg5JEAzWs+/pDVzjEDZQliXJx2yQYRECgXUVp+NdRIvVhVTcuGQOhSQR0vpnERCLVQhpEg6hrqmro9XYII1buXbBAe415EBEKADntEOf1MyTIkUE4RS59UoEs9vvubGySY7HZyztn23Jg5NVJ3wySIOEkyiccf6LhrZoD9VvSKGh2+frPBEtVLZtcNsJ+Unt2Y2IfQehBqaYaukbzfRxuByGpObyWiG7Rjf0NEt2Q1qS8gov2z48cS0TQRXZv9fb7u9VLuT4uOdgY5oWzQHgOByN3rhky1ERIpqhZTU/WSSzaIAK4ZqJeigHIvpvGslthwdHBmBM6Nkf68TUCZpnlVTIO4pGKytVfqi4lgG0Tx7gC3ZKmYKEWk3LmYiiBHnw3JnOch6k+9zdh09YHzuHBzTW0yPkcO1dVijYcYpQRxNoCXGMe+C+AkZn4qgNsAfED77U5mPiX7e0fdi6UEIv3sW7BJwlB2znFJEGoiFYFyNc+vMeamnLRMA1yQkVo4X4IKdKSAZG80IhFCeVIB2RxyvJREkyAiIq8EWEeCqKqY5BMGRrBeiATR7WgqJsf9KWJCOYGw96t7EJKnbWUOBExjfS2PT8Wkj8E+CPWbSgQammrjUUcgmPlSANuNY5cws8oz8BOktacbQcwcbFfQdc1jIxAqPUG+uOuNIcTTs/BiatoGEWUufAH9BksQ2YaEeumim4Q+L3zqAVOa8tmQdLt6SEqMyV6Rut7WXE9bH4JBpkLLjdQeNaxyWwX8wWHquUUeI5J570FvmvWPo5kbvikX6uaaM1GBkqW6n9YGUcXbAHxH+/5YItpIRD8iol+0nUREpxHRBiLasG3btvx4YtggfHl0CgIxnmyuakPpdYdLqEfk3hR27uvjk5fcCqC5yVeoVfwctoK+oJ1Sna5i8kkQo7JBcNkTzmdUTwP7wozUd2wtanL4CKAKlCOPeqdwtQ1jMpQjgCIorhxkMRfSUdq3vV8lbQDwBspVCERNFVPTSzV0LoWqSnUpO4SJyk0QjzYJwgUi+lOktae/mh3aAuBoZn4agPcC+BoRiQ7SzHwGM69n5vXr1q3Lj9dxUSxxigHc3yigJk6dXEw6fEzjR799E3546zZ3owzbds/ii5fe5Z2kOlfZDQgCAurEQWQqJozPXpckZsp4tw1Cn0M+FcGGex7JP/vub3YQZ0ZqFUQpnxEbEoSvXxXnocbtSpUSJ0laWyX77t4Uk5w586XaMOd5yLvW24xrI9Wv6pr2anhRoJ1OvdslJ0EQ0auJ6OCmL0hEbwXwCgD/i7O3zcyzzPxw9vlqAHcCeHxon8wM5kLP6+P+4qRI7BdRGCfcNNTeowyMdQsG+WIBXFHAJj767ZvwsYtuxhV3Pexsp3OKPilNgtu7JRXLQyJxRyRAYJAYCR+dOnpNrVLT0cEbKKdUTLmR2jIGZRDt+Ll8fcxEfjflOCOWKu3VqCSIkMfGDByURX+PzQYRGAih3omKpPYaqbP/S9EG8dsANhLR7UT05Uy1c9K2ro9SAAAgAElEQVR8LkZELwHwfwH8GjPv046vI6JO9vk4ACcAuCu0X12sU/996oz5bHRNoCJBjCfbRzaW9P4fMspMmjDdg8NSbWjn+wLloixQblyujJqjQ9eTiTPdQDOvuQAjdek6nqZKxeRzc1XHe7kE4ZEAWZOQPDYWxUT5DOXqN0VIyJMeZBgVE4M1W4i3+VDwjSNUgtBtEHXcXBerBGFNCsPMvwGkLqgAnpv9/T4RHQ3gp8z8MlfHRHQOgBcCeAwR3QfgL5B6LU0C+G72wn+SeSy9AMBHiKgPIAHwDmbeLnYsQM+gCPhdFHV/92hMKiY9RTJQX8Xka12nN5VOYcaRnA4ojJxAmu5iNqDMpr7wfDp9ojSUelzMlKmm9Euh6ee6asogL6Ze5DUQF4yRYvPd/epuvD4XTFXCV8G3KSpiuXXXDG55wF5n2rxmyFNLHRhU+2YnR2gYgv4OfuYo2KXapSomf03xxW6D8OYfZuZNRDQFYEX2pz77znujcPhMS9tvAPiGr08bFC3Q1QNuF77xSxA595fV8R1FTepQTGXZQH1qqSThXJ3RiSL0E78ai1EYnr1eTBTmwDoqI7VeU8SXqjndQLPoYY86yoRvM1CBcj4Vk5r3oV5MSm0E+POVDQwJwrWF6sRSEQdmFh0pduzrlw8EGiF8Hl3zRR0vpstuf8jarigYlNWDCI6kXmIEgog+COA5ANYBuBWpW+o/ADiNmcMV3AsAPTgl/V/PzbWpVBR1oE+kYcqeNslxKO7PN0nNut9hBYOQ56QJ9Qoam5trDQliUCIm9d5fcKCcUjF54iByG4TnumXDeuTME6TUsOoef3jrNhx/8Bqxrb6eFGb6SZ7eXIeZQj1EImBwUF6q+cA3jtCrqkeq3Fx9zKf6eZHSB6cN4s0ADgdwMVJvo68x88bFRhyA8mar/vuiHfWYiXEw72rR54FWDauY6iAvTep5ELGxKYaWHM05YY8XE1FYLqZRBcpVkjh6PHcUsYxqSqG+oDOVPsPnxZRocwgIN1IDqeTqYoyUx5MSAj767Zvt/XKRxUBhj6WsasVIHcCbqRgZ9blJBNaoCt7AY41ohxipk6UqQTDziUR0IFLbwwsBvJ+IVgP4GYD/YeYvLcwQ/dBTLwPpgvUtwtC8TaOC2lyjwEjc2qjRnZK8akkQAQa4GzbvBFjppxOPkRq5SmNcayVJ6tggNKeIgHTfpes4blDl2dLdXG3N9bw/QICROik2ct/7S7L3FqK90o37CrY1VbVBBDAZzEGqrvnASyACr5vX0ehGQWl81K+LlD64bRCZofhCIroYwDOQGpN/H2mQ26IhEKaRukNublj35qjL/TUF3Yc9ovqcUVMTGtAlCHc73QbhcyW+5MYHcNq/XA0AWLuil/XvU2nAW08AKNsgVJW0JqCrYHyb/rxqijiaKsN/mospu5ZHxRSeaqNIMeNLiT9IGFM9Eu0IUtuO0c7neaUQsjEqO1Zo+2HgVTEFXnd2EGeJ+tKKgH4jNWfXX5xw2SB+Dan08DwATwZwI4AfA3gfgP9ZkNEFoqjiFLbpx7GZlG0MBEIjasNwzU16c/iSwikMNG8Vn+R190N788955K7XBjHedN+JpnpUUqjN2KoijYH6BCJEgpjo+F1Mk4oE4cZAlyA8tjc9cNEH/bmZY5PGoCPIRl3DSD2sjcLPcIVhpp/k2XV7HXKmM9GvuxS9mN6KlCD8XwBXM7PbSX6MqEoQfhuErmt2bQSjQrlMY/M6yDrddci/gavf1T7g8xTTjZadEAKRqPQh9QLlmlxYJRuEtiFJBexUpDEwjJHa9VtZ9Qg4IqnVvA+ct6VI8Y7bSK3UiSHFmXTvqOJ8eWOsK0GwsbZHlovJ93vg+53ux3mRpW4UgVk24iskS1WCYObXLuRA5gM9OAWoWTBI2xy7IyplKY9BJxBDeO40OKNCxXfd392XakPfWLoBEkquYiJgXMul7N1WPaZjEA+vpgxJh628YABHJLVWIxzwb2IDTS3W6/hqpqRSQeRyY9HbGoTEnqLcsEE4xrx7po8//vq1AIrcYz5z4bD8QlOMxvRcnHtvFYWZEnSiqkcXsHgD5BSWRcGgPA6ipB7wb0ZA4SLo2uzu3LYnr9HbFPSNIApQq5gTeBTzyscsmvmHXCoKfU9Vz9hl48hVTAhY5KUCMn7snuljLqCWsTKUA361mx6NX99Ibf8t98iL/LUY1PPsBbq56t5A3oSWmVQQomSSiKjtXdfJ5nr+NZvx3zdvBTC6QDl1f745Fyrh75sbYGUv5btDan8XKqag7hccy4JAVOIgPAt2ECclXTpgV3/M9GOc+qkf4Y/OvbbBEeuR1GFurqGJ9xTqTDjV1rcV6IZZnxeMrpNWz9qmhmFmJIzCzbXhxfKU0y/BW866ytuuVFPEo3bTiaVurwiBq52aByovlWsMdSOpdQmi64ukzuwKIdorPX5Ev5Y8hvIgt++1a651iT6vbNeQraBoH/rOwvrbV5Igssp9TgKhVEyLk0IsDwJhGKl9KqYSp6gWoWUGKKPhZbfX26B90Mfsy18DABt//kjpe5ObqNqU6koQrmcsqZhsgXXqXiJKOTrfYinbINxjVvAlIkzHV65KCNjnRUkdVTPKN0SCSGtjpLBJr5U4CJ+ba2zUu/AURAq1QSSCBGE1UhtE6dp7d2CT5tCgo6f5zhaBct7hDIWmvJim5wobhJLsXIbq3AaxOOmDn0AQ0fOI6LtEdBsR3UVEdxNRcCK9hUDOdUXFpu964Dqn6MuNzyMKkSiKvUQZ1+yZoJXv9vZX3b0dF9/4QPBYVE8+I32iuQd3PHlm9I2lMFLb+wUU1+xfLHV8CUISCirEmuoxJNV2YfMqjkkw321Q0fuIcu76qk1yWrKBJoWm17F2m45Pc87odiJnMkLluhosQZhurlbX3OrxzTumxbYTOoGgMCI4bi8mVQ0QCAsQVb8sWQKBNH/SpwE8H8AzAazP/i8aqI2q2Lzcye/MSGrAboNQonLT70/nFKOATfG6+3YG9/26L1xRayyhk3OguQf7jJx64JTawOwRwel/VX+gzrP2bQj/fNndwX3pm37XY5sy030DLnuFOWbXGNL/HSI845gDAABHHrBS7tcIEPVBd87oRe5UKUoqCLFB6PPi7N95ZnatMC8moEh5b6LkCTeibK6h/YUSHt2VWI3ZHZAYdv1xIYRA7GTm7zDzVmZ+WP2NfGQ1kHNdmtrIV5xG54T1Pkyol9uPE5x71c8bi3guEwi/DeJHt5VVXE0ulFD9p1mzOWH7pq9LIx2PGk9XcYXVgwg3Uu+YDvPOzmNpNClUP25C93rz2SvquDDn+ZWiQsVicwYw09yHGFpLdds9bq6dyK/uU/0WObrc6evr1M3Qocwsvmc57LJoSoLQo8qD3LsXq+iQIYRA/ICI/oaInkNET1d/Ix9ZDZgLxefFpEd+dr0ShCIQjPeffz0u2Li5mTFrajFCfU5iy86ZRsYBIHj265ui77nJKib3BpqrmBqU13TVh8uOZMYU+GwQZnEhwL7Y6+wBRfBb5JVi1PGeKjnq6VuXkHx5gpSXVsjY9TTivnctESXbOHStVaFiGg28/YauEd27LYBAqH4Xa6BcCIH4BaRqpY8D+FT298lRDqou8ipOAW6HFU7RY4MwuTdbErK60H3YQ7hmE7/+ueaC2UMvXUrWlxc6ks8uq5jcbXMV0zA2CE9bXU1x6W0OApFU55B7zAXX7PPRr8Ml6h55ihu3cfqm7e33vrLBW+MhNBeT7pDgQxpMGLYpSqqnkMcTGusxqnCiYClbYBx8hbLqjGOhEVIP4kXDdk5EZyEtL7qVmU/Kjh0I4OsAjgWwCcDrmPkRSlfZ3wN4GYB9AN7KzNeEXCfXxWo+7Mrt0DS8mpxiN4BT1GGmFBgWah2rso7j5CByVzvPGHTuSD23fpJgBapBQLIXk11dA2QqJtQLGpzux85I1RAvHKDqEZTbFazeOLoXU3rM7sYbNIS0D827rZvHj7hVTLo76L7ZGGtXynxf2TnD7WTgeqYmdPfZ3GDvWE9mEjvb89FjV3yJCwHgHf9yNe59ZJ+9gQO+ORcq4deVIJZsHAQR/Xb2/73SX2D/ZwN4iXHs/QC+x8wnAPhe9h0AXoq01OgJAE4D8LnQmzBVTC63wwqn6HHBNBdRaFoDH9T1oswQ6OMyn3PcQY1cV0LoJI0Tve63W/KSUm3YVTCauo383JT+BgYJ4wPnX2dtG1pMZ2DOIc9Gl9TYCOpIELpUkBNhyzMuEj4Wy3g2tgd0lp0z3BuXUkeFjDzRM9sqm55DLRaaseC95/0s/6xeo2s8F9/4AG68f1dQ3wqhyfJCX2HJ0SEgUG4p2yBWZf/XWP68YOZLAZg+eq8C8OXs85cBvFo7/hVO8RMA+xPRYSHXKQqFG4tbmKR6FtW0bZgXk4KZ1nhYDLRxROTnUA5Y1WvmwgKGMsApA2oAa9Wro2IKHIuO8zbcZ/0tVOKrJHwMCJRTG3NI1LWJ+yycrh5h71PNmYwRYCcmQDnNfcdjp4uTNHNviDQn5bCyrqeYSwQNCFPfhLiMzge+2wx1diina/EX4lK3s1gD5Vy5mL6Q/f9ww9c8hJm3ZJ8fAHBI9vkIAPdq7e7Ljm3RjoGITkMqYeDoo48GUM1q6VqwlcR+NY1qoSoLH3QXxSiAUxtVkZzdM32cefndAPyEYpBUI9Btrq764+x5jK2FF1r6vUmmSt88fbExenuf1FMyzHqIiXT03edsxAV/+LzKcd1GpqvxxDFwlUDMOlLC6OoP8iW0TKqxDa5+C5tecb7cb1KRIELed16fO2hE4Qjpb26Q4K8vvjWoPymfl5uJUurdoO4XHGONpOaUPan1aJj5DGZez8zr161bB0BOtQHIi9vkFENSKujoNSRCDDROMSSb66gSzepeWX43yYL4+sRnnfNUnLA1DiK3QWQGe8+Y6zyLOpscEG6k1jOY+iQIKdjS9txiQcVkbWtIwwDw8YtuEdsmCadps7X7c+1bqmZKyOI0bRuA2208VO2nw7Wmm4G937kawZZ66vNO5JYA0/a+q48X4yAQDyrVUfZ/a3Z8M4CjtHZHZse8qGz6Dqmgwin6XAmNydFUxtd8HJ2wbK5NSS7zQangTKBUAKRBWYBLn5/+19NLNIXQx5ZoAWpqLICbQJjqqDpeTC7JRPXpU39KRur/vvlBua3hnBGRQ+WXEZNQ9Zye5dfHNevGfYWQzTE/Z0Q7qWv56aP99acfmUdKS5DUbSFxEEtSgiCiiIhe1/A1vwngLdnntwD4T+34mynFs5EG6G2ROjBRiYNwLFipdkTa1r0IFYbhflz95tlcPRPE3OgaGkYJISUrq9yRRcWkHfYZLqsqJp80FX7zoW0rUmgAgegaqgQbAfypkCrDtmfoRmo19gctMS+mm6sLpnOGK1ZIr5cegkQkln7bjUKInSPPxRQ0onDU3Zg7kV9VOYwX02KFk0Awc4K0YNBQIKJzAFwB4AlEdB8RvR3AJwD8MhHdDuDF2XcAuAjAXQDuAPBFAH8Yep2qkdrOsdp0zbaXaOaraeqF6l4zIZHUo5Ig9MuGROKqTaPn4W71+0l9+u1FdQo3VwICvJjqQN/jXP0qb6yOYXh2uWsq6dNn0FalV3XYNsXYkGQA4Osb7rW0VRt5sYxPPFT2H5HylfmYoigKexl6DquuR60i2SBCoE4ZlYrJ1au+9DpR5DU6h2gyivbqt+bv69+vvg//8P3b59WHNw4CwH8T0Z8gjV3I0y5m9aqdYOY3Wn46VWjLAN4ZMJ4KzJw0alNwqpgCs7m+77xymu86lcNcSPLFrXSr7vbmkhoH4zEQuCO7DaL4HBEhiuyBWaptR3kxNXhzoVuR1Y7l2OhMdZRt45CK13tVTIGFeoCyiun5xz/G2dZMleJrG+JdM0jCjdT9ZDgVU0gcxHwQ2m8nchOpUsp4jyOHft1R3Nef/FvqJvyuXzph6D5CCMTrs//65s0Ajhv6qg3DVBu5jIZmcaHCfU7u+6E9Zfe2OoVhXDAlCO8EMXa6UUwoX5e6KqHncXPVNxYiSo2iPhVTVE99FII1U2HuwVLKeP241N5UU4Y6OgBhKiYAOHztFA7ff4VzzLq0YZXojHlP5A8ODY6kLqnb3AxXHA9npB6nF5N+KyHGfdORw0VQ1DpZrJqmkEjqxy7EQOaDyuJ2LFirrjlwx21KxE0rqKUTPySSekGM1DUiqX0Bhvqjjyhtb60yZqgIvfUgajyKnmZQPPPyu3HqEw/Gcx9X5bIlFYw+tsqYNQLh82KS4JMg1Bw+8sCVVilIcnO11oI27Aodh2OELpGH3JJZ412/DxOSDSJkd1TrdXQqJtcmXqCoSyHXsDdjTQBPoFz2upZsLiYiWklEf0ZEZ2TfTyCiV4x+aOGoLG6nF5PKgWQUhvEVu83Pn99YFUoVyQJsEAtAHrwo5WJSPvqePEGAkpL8kdREgSVHa8BceL/1xSvFdpIKBrBLlsoNFPB7Mcnjko/r9SAAYLJrT6qn7Ca667VtMxpokftqzD6JJ4TTNz2e/O7BQhxEjUC5cXgx6XPIVxxqIEhTIRJE03CVA66DEDfXLwGYA/Dc7PtmAB9t5OoNwTTsuXymbW1Dn2dTkZx6FS5CgA1iIQQIz++6KiE0AR+g8gpF3rahBWpGETRYTcGSHQ+QIHxtJYRKEB2H7UaSIKwE25j3Kl+Za2whbq4VySRAgghVXa2eLBQckWNNzws1+3Nt+mYiUJ+bctpPNoxao/Bj2LTqJkIIxOOY+a8B9AGAmfdhcTC0OYoXk34Pi4NA6ZxQ20LoJnDH1t2ie6OCnnI8JDhsIVRMvluTjNQ27lbnuojS8Y8jkjq0r0qyvgB3zYo6qsai9BIIjSN3xSukz1Y/3xd1jWzMRR8mdAni0LVTzvuw5zZzEFZjLtve0bOPOzD/PHIjdeBvQVkaangxFYkyawx2ARFipJ4johXInhMRPQ7A7EhHVRN2I3W1rVlcKEQMLF0rcBN48acvBQBs+sTLrf3oXldN+v7XQR3dpx4l2uu4J7++8aRBX65I6vR/6uUa5jlTZ8whGBgbXZ5qWzIwJ+WoZJ9rpzguT1CdvuE6uXGi0tywlRG1ZRBImBEZ/J7e9smHr3Xfh21TdBBAUzKxvSL9vuvaCuvCtQ5MI7V5TKFuyni9n8VqgwghEKcDuBjAUUT0VQDPA/DWEY6pNipiuVPFlHFHgdXATDQl4sYJ52oaX16cFKOfQCGBchUDXJCKKeOEbUZR3QYRomKqQSuDJQhjDqlrNMUpVvqwctio9G1tmxFs/XGEVp/T4zzMTUByn7XBFqTqymxbMVLb+ta6OHi/SQDAA00WygqFTiBcKiaDUQ1TMbF5iUbQFL0J8WK6hIiuBvBspKql9zDzQ81cvhlUg9/Kx3UMDE6qrgdKk26uRfSp/4UuBIPhM9QlLHDYAUbqKErjIHz2m1GoEUK7sibrc6kpO2EEYu2KHnZO90vHrIZnzeU3/e8grIK6xmd4NjdyqWtzjbhQ57mp9pNd00gtQ+eq12T2iNmBPRnhMAiZHzrjVBCIajszN5avFnupn4bXd1NSeIgX078CeC2AO5n5wsVGHIB6XIxJ5UNytkvXmi90g2+IBDFuCdQ2+W1ulWagnBQsppBLEOpcz1jqKNtCRfehovEr0pT8LNZMdfHapx9ROmaPV6hKw+60FWWpy+dVFhJMWthj/Jy+ZDMBHComjckI7RsAJrtpUSq9iFCTcDNHxWeXBGFzt3dJEKNa1k3tFyGy3pkADgPwWSK6i4i+QUTvaebyzUDS2+rHddSNpLZda74oGzn9XkwLkS/edQXTzuMjrCUJgjyccHY4NFCuloopsF0lZbyDyTC5cV9AFHPV88rvYlq4YbskCFVwqjjfo2IKsL0N8rQjYlflfg3CGmUEy5W519Rc2dOOFMd7mdQxMgIROFNyyUvK82aTppz2jRGpmBrqxzsFmPkHAD4G4M+R5khaD+APGrp+I7Bu+hYDIxAuEnciwv4ri2jcpuIg9IpkIWU2xy1B5JG4gYRVPxp5Iqn1OIj0u3sstdxcA5+bLYDS5c5YKTrlSH1uMs02FZPaACeyAL80Z5J9zB1DgvClBi8iqdW8r7YtpI10DO859YT8PiptDcIKpOvQlYE2NNVGmckgTHQizAVK+qEIWVd6E1fAnq3WTEhFuaaN1E3157VBENH3kFaXuwLAZQCeycxb3WctLOqk2qiWlvR7XegYiQQRAexRrS4EfXDdmnUD9aiNgCJ1tS8OggDcvGUXbt6yyxqpWge7Z/r47A/CkpUVjEPGuTviYyoShM+ji6tSjzVXUXbBXm7fcBu0zc3Wp8YrVFfl41IfUmZb03A9yANPi+NuaZGDbBvqegpEhIlu1LgEkae6cKqYynMZ8GgnakkQahzNYsEkCADXIQ2UOwnAUwGclLm9LhrYiwBV25qFYVz+7nkhG+1YqK3Ch1gr9B4SSW3iecfLNarPs2T+tIFLn+1jiM0N1ENYTRtEmhzO1n/5/QGoGHV1hNKNv/mvW3Hv9umgtgNTClWcokNHXymeZJOQUN0UbW137EvvW3m4daLIwY0nleBCrxeTykAbYmMJeNdmAJ767DJSVyQIy7TQuyCkRHPOUXN7PnASCO1ziJG6qEntL8urfmpaQ7BgNghm/mNmfgFSQ/XDSCOrdzRz+WYQm/pjhxdTxQjo8EBRL/ZlTzkMa6ZSYaspP2y9ngAQYIPQfj/5qP2tBsTP//DOJoZXQTH50+++QLJyHIQ7IjiXILR946E98w+1mXGU3zRhZlF1bYpmKgpf5TAlQRx1oJ+vOuvHd5e+u7KHShKEzUhtU8PWsdOF1FdRn115t6pGar8USpSq3fqDMaiYtDbqPiUVTtWVuHxc7ntEuoGFIhBE9C4i+jqAjQBeBeAsAC8d9oJE9AQiulb720VEf0REpxPRZu34y0L7LAxl6fcimCVcDJQzbqbHjjhgBa4//Vezid+MiKvnNQqpSa1z96lR27IRzGfCuVRMNtWcZ9MHMjdXR0SwGrLOZStOej7ohlhZM1R82APsWGZeKlc68zTPlF/0mTCqlTkjqXMbRNGvK4IZqBrhxU3fYoSXDOBm27Rv+/yUXHPv3yHHNpRUTMhUTAGR+8PAdbbk5hpSayYkgLJQMTVM+BbKzRXAFIBPAziRmV/MzB9m5u8Pe0FmvpWZT2HmUwA8A8A+ABdkP/+t+o2ZLwrtM01DXRjenCKxxZDkDKrTNo2mjNS6PjeNg/CJEMVHV3rw+dhIXGdWPMVyI7V/HD4Vk+nmCrjrAIfeYq/CqarzA7jmEE+4CrG0b16EMNXY4w9ZjV868eD8uyt+RNmx9G77nlQbhRtvejzk/vJnEUBMgJQwu7LKmlLPRy68SW5rSKG9jp1ASJvw6d+8UWwrwbn+dAkil7yqzcw1om4zKFBuCauYPglgBsA7Mmni5GYuDSAtHHQnM98zn07MSefK5loxUgcYI3Xf+CaN1LoE4Y2D0D5H5ODchft47GNWDTvMHNUNVF3PxjUbKqYACULnhJswRtrWpfSobQRQDJSzufxabRDhubTipNzWGYGeM0bFMavbsaGGJYeEVC3LWz5eHm95jajPNvqeJOHPQr8cEVIvJsu8kMZ29v9sqnWNEBTE0q96JMUYBcRBNK1oaqq/EBXT/wbwVQAHZ3//SkTvbuj6bwBwjvb9XUR0HRGdRUQHWMZzGhFtIKIN27ZtA6AWSnlRAWHBLJGDk5JcYpsyUuvlO1O/cXd705PClzrbdyz0XAWr+OyJbVDjdXkxFW6uxTGbLh0IF5/rqOHs8TFCvwLjoPchjYMoLMBPbfoKzlQbSZq2QpchXGk50v6yfh0uxbHhmeS6P6kutivvVmqkFn+yjjkFYdLhxTRfza9bxVTAFYEuEUuXyy+gzdHGJYiFUzH9LoBfYOYPMfOHkKbc+L35XpiIJgD8GoB/yw59DsDjAJwCYAuAT0nnMfMZzLyemdevW7cOQNV1rpjQ1fPr6JqlVMaNSRAxl3zSfb2ak9Q2DGnzCx2x0821pgHONDA6CUT2X3+HtjiBOrCtyxD3Z5eEVJUg3GlHmNN7C3Hb1eNj0nHY55wq9VkmrLYNVI1Z1dwu34sO1UWe2baGGhZwSz2SiskG09Gh17HXxnCV9QyCS8Okq5icDKVqU96LQtxcm8aCSRBIGR/dHSRGM+m+XwrgGmZ+EACY+UFmjpk5QRqQ96zQjkxvDlegnJQMzd7WUDtENP+JqPVdpJb2U/yS26jHs6UOQidoVe1Qw0hNlPnGy30XyfqKYy4CETpm2zMVVUw2u0KAFNrxxkFk9xcwZtPLx5eipBMZbtgOewUQ6sWUlNp0HWvEzIKrPru824LVbSUmwx0HMX/6ECaxugJE1d7QNd+fSxpWNoimjdQNdReSzfVLAK4kImVIfjXS9BvzxRuhqZeI6DBm3pJ9fQ2AG0I7UuU7FUKiYBUHRURWnb6kdmjMSM3lSOp6Noi6KqawMbma1VWrmJ4fXcemUXgxFceasUHY1RyVYwYBdEfjo9TWZ4MAZ8QvYF80vXyUtCgFDsZJ1SPIFweRJwF02ViUBNEJeBZcXiNA+jyakCDKXkyph9ee2YG132EQcpbk5up6FiaxdHk+qm4aN1I3RHBCsrl+moh+COD52aHfYeaN87koEa0C8MsAfl87/NdEdArSd7bJ+M2JiliujGoBG4H6HOa21qybaymSusb7TJP7yb9Jm2LoZHGqmIznplJzu/IPKUSEoIJB+g7qtkGEoc4zshFAt4oJpbauYj0dKnsbPeMY0cRW2UBdUcxxpmLSO/ZGUle896ptB4YEESZlF8cih9Sju3f7YBqpew4j9Xwl+0AnplydKEm4pnYibW8nlmnfSoJoGKOWIIhoCsA7ABwP4HoA/8TMMvmuCWbeC+Ag49ibhu3PnHQunWjQsyoAACAASURBVKnE8USWyE/JnbFRN9es34f3zOH2rXuc6SVMr6CQBGfFufZxhEYlFwncDF2zQ5VQXMNdMEgdLUsQ84+YtfviS23T/yFZSetm7TSjhw9fO+X0QhPtaSzXbehGRrK+4EC58vHSGCzERI6krq4nVyS1KrX7kicfik5E+Pb1W8R25tgicsdBjNJIrUOlQJGeszXtiMtInY278VxMDfXjskF8GWlivuuR2gs+2dA1G4de6QxwezHl6TOMRRjk7tegkVonalfenZYm/emmR6zt1VVf87QjUlVXDf26kzvSfnNJGiJhdXBHpg2iG9l9481kfUAzcRC2dm7vtvS7y52xkjo7MxS7bBBpm6K9yzNJ9/LxRTFHZBipLc+46qNvXyNq8wspv2qPpHarmD7/pmfg915wnNjG7BsAQMBkTTfXEIRszHqbXscuQUhG6q6HQIwqkrqpbl0E4knM/NvM/AUAvwHgBc1csnmYuliXF5MU2GPzupAkiKaKgQ8ElYFNfwwAYOBx61bhb19/ijfD57Co48UEeDhFrbNOpLxx3NfVJYjte+2R1PN1c3VJlpG50bnmhaFKcEkQKadf9GttW1ExFccrY06qgXLMFh9926Yf8CyCDPaGk4hLeitcRd3vsSSFwu3FFM/T/TyUiVJrVlKBmqpHwK1aBUYZB9FMjy4Cka/QplRLo0LCVbEOsHE86X+TE3aqmDSx3FcVLXjMCecuh8XY3LpK0sdRY/NrgkuxbqAWQqVfc/OOGScnpQ7rW92e2fmn2rC9qtBN3xY5nwiboi0gKq/Ep3H6ab92d1Qz6Ewfn3kfZqoNQJYibAWRpGdUx9NPkiz9EoT4k7VvNW6XF9N8c6SFbqhKgpDTjigVU3GD3Y5HxaS8mBqmEAvhxXQyEe3KPhOAFdl3AsDMvF8zQ5g/koRLYrZLf2x6MQF27k8KDmvKzTUtOG+MzcPFqObuVBvCuY5xhM4j0zceUBuBTaVRfJ7px55cTErFVBxzuwaGjTnEgK4gqUps7sRmxGz6Wc66qs8hRQCdRlxDgug6mB2by+ggZkx2q231+1OnyYbnzF0zoG67mShTfXbaY5QEIbYot1UggptANMS4SShJEMpjTZIgpMy2PhvEiIbdVLdWAsHMnYauMXJUU21kxwN1prZgJCknTZNGalOC8AXUqHnnioOQudiwMbkkDdOzBbCrYAApUM4fM1EiEA2snDqGfNOLCbCr0MyU8YCKsrdz7p2okCC6EWHfnH2jk4zUIvHhqorJ1VbvT/2XnpEZMxHkxWSM2e1irq5daVJur/1OoEzFFP5O68DtxVT86LJBWNXXThuE/nn+NVD0vppAeLrLRYyKDSJEv1pRJfg3gu4QRmrXJmWK2q6XyuCcA3XVsJ6Pm6sLkgHOmXNHu2SaaiNyqAGq78RpjwmETdiTmYH0f+X+Aj13bO6MZiU+wP3+mI28Rg6PPJW3ydxTpGdnEkB3MGl2f0btCKdXYMCmmBOp0EA5SYKIE3GdzDduJnSFFLXY/Qyl+uzy9Nu+d/5p7SWYhGdYLAsCwVzl5oAanKJFMjBLS7pUAza49OAVG4RnjucSRE0Vk7NP7bPrVMkA53Jd1XuLhpAg+g1IEMOomHRDudc2FbARmOla1DVCcxX50o6nkdSGs0PAmAsjtTwGfczOAlxJdV5EkcXrSrDduGBKoa6I7mELCYXsnWUVk0OCENeInUC8+9yNpec/IocmbNkpp1MPwbIgEKlYXnx3ZXMVOUWPrrmoEOXOzCjBFc1rShChOVsi8hvl9OI0bvFZvoYJmwrGnmm0+EygoGyuoRJEKEdkJc5Wfb7g/hwqhUZySgXlXVNyc3U8NzPVhnMuK9WqKUFIXkwVAlG+F6mtmdBS4tKLNCnhz61Ye+73WCIQIKc31eyQEkQuXTul9wKuOAgz3xXgDpT79nXlGJAm6YN+yasyN/phsDwIBNfI5ipwirbNy9SZppkZ601E27wbxEmlKpxbxVTAZfDV20jnDouCqyzG7My5U7FBRN62+j7XjNExXA0npYCwqdBshlnROypXq+hOBnZp0Uy14YvpSWNMDAlCUjEZm7NTbWRIEHtmUifGz3yvWt9b9P6KIrfqKndzrTQR2wNFwsd0fNW2s/3RqZjUuvy715/itEGYDCXgD5STrtMEdLXyfMway4JAKH9wBZf4bOUUA9QDNtHZOTarrQCVDcnrxaRxoL65VNZBBg3VaasokrIVx9xG6vL3TuSulwCU34lT6gm8H9vzdG22OmwqNEmVYHPjLXkxZd27bBCuVBu2tj1DFJUMuabnlcsGYUobqj74VZuqnKhsmLVJaen/3EhdaVFAuQcrRERaxHp1EdpyNIWnunf8lv0n0uIgnAxlccyXrE+6ThNoitYsDwJR04vJ3JhtBMLMVNl1GlplWCWIJKmMw81pcIkD9U38n2/fVzrXhjMuLWpYO1VMNYyRaV/F8ZecdKgz6lpyc3U/iTC4iLMJMx0GYFehSeo2m33KHj9SbcvMNY3UqbTRMwMuJR/9SqCcumalaa6yVQT71045HADwxmcdPa/706Up27WLfsvfifT4pmp7axI/D/de1wbRy1O7220QupTtYqJCkxYOg6aIzbIgEDEbEoEjNYBZOwII91YZxki98V45fUaSSBKEQ8XEZSN1nWHYut07O8CDu8K8KGRVgrtessKTD18bmM216Luut5jicstjkNvK3jhV75o6RupuRGI0r865F+/PIplY+tX7KY05KafwyK8pjKNv9O2STAYJlza5yW4Haya7WNGrer6r0yu5zSwEzbw/G8zzCQVhkVNt2yWyEIRIGkRUeDE53nVFyg5WMQU1C+xLVzENT4iWBYFI9bbFd19ysaoqQd4ITFF7GCP1b33xSvH4IEkqG5JPzA2Jg7CdG3Lc1WMdTjFtX/7uqqxVGH21sdRUMW3ZOS20s2waFsbBXEc+u0LZSC1Ll7q0obspO+0VgrrUKg1LgXLSXI6TjEiVVUw219WKNNWRgyKlbK62eWHOoZAKhgqqfKf0m6uvUJWwR87IP+U2CKFjMXGhxR4DVJ99kzUhWglCg6keyFNRW7yYRBWTS4LQ9LZNBXDJNgiXBGHGQYRfL7QugmtTNl0fAU/OHeO4K/3JWT++G0DqqXLKUfunY7EPxTk+3zHArlYRVUwOXXNIUjbJBhGRzQ6ifq/aIGS3UdllVFR/JOXcXy473SCuPgtbtgFrqg2XBBHA0VYkCHKr20KcJSSEzDPVBcEXSS2omCz2GL1f2/f5QO9rPoqssREIItpERNcT0bVEtCE7diARfZeIbs/+y0nzDUhqI6v+mMsusYDdK6hactTl9x8Om6jtNFID3g3GBlfqZR3nXPVzax+m6yPgliDM4blUJTdsTjO6EAHn/f5z8OTD9/MGDfquB4QTRsBum3J5wpnR+L4IZtWaICdbtMWa6L/pUBXlTEjj6Mec68/T8RZ9VMYh2MesdgXJSO1pm9v0zFwzQlsFfXOWpRNLPw0bqfPIdkckdVmasksQo4WuYhq+l3FLEC9i5lOYeX32/f0AvsfMJwD4XvbdC9GuENlcFGXuKGhCD2GklmCqrhR8m75q3XFw7jqu+uCpeOtzj3UYyusTGXNT9JUR1dtKx3WoaNmpXqc2N2WzKwS3tageXf7uenub+rH03LS4gtD4Cl/Es6histQq6Ggbss8V3HSd9eWaMtPthyT2e/rRKf938pFrhbbl771OFFTZrnI8VP/v+i2XIFIVXa9DoheTnPq8KZftetAfx7rVk0P3M24CYeJVSOtQIPv/6pCTbOqBYH93H3ekGambeNlqXOYidHLNushIYbaQg/ebcqYHqXMv4uS3qPHM8QJu7s8EITxoUEHq1qqXDlQx1TG2pgnqAn3jfXE3korJRtQEFZOkH+/HZcMz+QhPoARhqxMSYoQnIjz1yLU4cNWEeG86JrqRxwZROWRtWz7PPx+VxKpusRtFTgmirHq0J/h8zOr0vtdMdbOxeIcSDL2r+XhLjZNAMIBLiOhqIjotO3aIVpf6AQCHmCcR0WlEtIGINmzbtg1A6sVkLhSb/zFb1FEhG4Gv+EcobBKEpxxEwYEGxEEouNxL60hD9hQltk3YkCByH3b7NXUdfBMShK0PG+Ngzotux6Y2Sv9XcjF5OGzV2laAx5bsTf/NHLMkQUjeVHGSlNxh1WfRi6mGDUIMGnSod4HyWrV55Jnn9zoagXD07evHhiAvpnwsJNeDEI3UdnvhU4/cHxEBf/DCx6VjaNJIrXU1n17HSSCez8xPR1qt7p1EVCpIxOkbq9wbM5/BzOuZef26devUsUrqbFeGVkmVEKJfDYlgDoGkrgFCjNTIxhFug3C5xNYpsiKluHaljKh4MTmM1MU5uSzvfhbSufNUO5jBlkAAp2947viMuO/+peMBAE84dA2A6uZlyxILhHP6gBwHYW76XVdWUos9RvJiEtViVvVu1ldJmgozOvc6FFTZzkQTXLnZh61wUR3JEkjv+6Qj1gZHlteBTmzmYzcdG4Fg5s3Z/60ALgDwLAAPEtFhAJD93xrSV71Nv7ox23Tp1RTJzegTbRKEj4sp3FzDvZgisvdbJ22IqGt2uP2a1+w6uL/8Gvlm4+F6AleSPrQL3/18/MUrn2QdQ8zV92FTz9nKbPrUKqc+8RBs+sTLsXZFr/RbPl5LPQGpbXp/FhWTJQ5Cj7juZefZOGFT/WnNNSWqVdwusWbFNdczVpjsdpwSxLAqJt/5+m+5iqljsU2xnKXBtsyYC49LYHSR1EtOgiCiVUS0Rn0G8CsAbgDwTQBvyZq9BcB/hvQXC7pYa/AbM4wUSFZdusnpu1NWh2MoLyYuRFyicNHZJUHU8oSybIq+2IYTDl6djiPABpFHVMNHIYRzHf0BwElHrMWTD1+bHRfGmwjebZ5N0TRSOyUIQSown79YstKxKVqN1JZqZ6UCR6oymiWnUEVla6mMVjyL4pg3DsIMqpMyKRunH7Cy5yaWlnnltUFk/2/essvRRrVSquZItPMMLLZQlwQRUTUbbxPQp0vdoFMdropyo8QhAC7IKG0XwNeY+WIi+imA84jo7QDuAfC6kM4SQRdrzaMjLCqbK1q1cEozEoQUU6Afl6CXHO0QeaWNVzz1MABudVQdLyZbtSxXOouTj1yLf/+D55bOc93jflMpZx1FMmerEDpq81LqcVvTVggSRKgqwaaOUgQmxK5gy5ir/6aQlzKVVEySBFFRMdltQokkQVhigFSAIZmbvvCS5rJn2euW3W1dMUj/51efgKccsRbdTuROfT5PJuj8jZvx6defIv5mShA9mwQhaTI6rrK8Rrr9BnVMJXvGPLodC4Fg5rsAnCwcfxjAqXX7SwT1gKtoibmobBu/qVaJAjbmEEgcqH5cgj6ZQlJt/MJjDwSQLlxmiNWqQpOIARZO2GGTUeoPpdZwcX+vX38Uvr7hXhy831Q6ZlDtOR1ig3B67kjOCxFhuu9Qq1B5w3XFQcj5leR+9fgA23NTX+tEUpdVTMoGITNGZq0Sl51OYs5cxLIUj0FuddRha6fwgsevy8eg/6ZDvesPveJJ+K8bH8CVWYrrJl1M1V12O7Jnkqias9wfkG7iesGnUamY5vMIFpub61Awa1IDdu8dFqUNd+SnngGziflmbgT/+c7nAfAHtNQKlMulHnkzSo+F34zECbvcfplld02pfRQR1q0pfLXJZ6QW78V/TI1BOl/0brPYFRTXXLbHyOnM5Up86rdy+8I2Vd5A1TV1mPr8n33oV3DJH6d+Hja1UVfwYrJJSGYAXteWwltguGxrT43LjOiW3p0tGBGweayl7+Rtz39saR355vhd2/Y6f0/7Tv8rBiOVLGXCWmU+HWrYpLxGmjRS65iPd9SyIBB1MrRKBu3IEldgTlLfxhUKMyr5+ExP75MgFHSpwIe7H0oXwH/d+IB1HCGw1dFwpdrQn7LbwFjW/6v7k7B97xz+4Qd3iNeT+tWhrhHs+29Rq0hcs9UNVLAr2J6FpHosCGu5X9NldO3KXh4QZePee0aW0fS4jUCESRBm/Qo1fmk9qeAy3d3W5m2oGJJy2gr5WQApM2Cua8A9x2/YvNP6mwTVe68jx0FIOaxc+duSTC1AIxAhWglCgyzm2r2YJCofmoupiVQbRaBcWf3imsx6TWq1EFz0Qd3hTfenxrcLr7u/0qaO+F2njoYam5xTyMKRa+SEYCd+6n4UTj3x4LwPqV8drgR1UiyNNYBS4po9LrGiVFCRIJKsbfW5mSoN0efeYVcw08s7I4IFVUmqQpOIiazeFdN9ZFXfdFVXRPKc6EvShiONv55CR59LqtiRhK27y6U4bXPO5MC7jjgI0fvLtkaAzEjdPPQxtzWpuZrS1sbdSvlrbLr0qpG6GRVToa5Jv09kH1yF15mRzySXsVVBd4lN+7ar0EJgi0C3dTEXJyVRvyj2InH6ZcnE5eaq9/nm5xyDP3xRGlvgsiEV/TrUbUk1lsYW/GbjmkPmEDCcBGH3eNLsIA41nqliStvLnLCUadjlmSR5fwF2Atg1iKX0PtRz69VIDyKltd5tqRMBVBmsy25/yNkuN1I7KuaJakob4cnUmpseTqX8h/eGpd4PwZJ2c20aks60nlHNnUdHTfimVEyF/jjK+5/sRpgZ2Auva/TB6fqooLgo9VykcUv6Z3vaZEkFI29Gl92+DVff8wiu10R4l5trYhB4l4pJf3UfedVJTrtChUA4E9RZUrCIbQWu2WakzueQ1tZiLJfiY2xqFbFokYMID2KuVJ5zccLhkdSyag6ozk91rV7FBiGNt0pMXJ5XJpORj8/lDWf8dMP9sspJNVOP2rm31LFBZFL2V664BwBwsaAGHhb6Fdua1BJ3S7J7mRRcZHuJZtKyYVJA2MYLlDnFFRMdzMzZCQS4XDAIcKuYDlubegS5uK4ZoY6vTSIYiIRV5qQuvS1NgbJPux8Xd6sMjAouI3zVfgRrv+YG5eNAK6k2HEZqczOyeatI3l+2ymiFBCFkXTXGYQtQk9oCKTNgrpEJR0SwKW24JAiJsOpjVFAShKlickle5voDHJHwVDBy+b24nB2M76Z6KG+X9aGYLqu6zWILZXaoVrXmTRqpdUbvcz+809HSjWVBIKxFgGwqJnOTsRnKDK+EIO+hAKiNRO97shth1qViKtkg0mPSWA5Y2cPxB6/GizLdvMu18xPfubl6Hcv9ScGINndGyVjoknq4co5DgrBcS+T0De7R9SxkCakG1+zgsAFTbQRxzGLMhE0dZRip9ba2cZilSW0RwZKqxJbNVUy1b1GL9TM1p+nFJL3r3EjdqRrWbVKoNO9catR9c2X10wmHrBHb5T1oDFodRwfA5pyRzknlwTfZbW47borWLA8CIUxSa35+iZg4DIwhpRTrQjFt+qbR60ReG4QpQYi6dAae97iD8u8uFcydmYvfl9/2rNL5EsQqYxYVjKQLdpWBvWDj5lINbRchNvsupCm7BHFwtgCd6ijL/dm820K9VaSYF1vaajEOwtJWSsuhqq5ZbRCGZ5IrIlgytoZuirbaH31Bgrj1wd249cHdlb5VW6nIkS1DguQm7nL8eM+515bbeuKCVPdOdZu5tziSIirvvb9/Qxqgd+QBK53Xr4OmpJFlQSBkym0TRcv6YMDt8aQvlLqV3GxQ4qm+aUx0I8w60rkyCgKh/oekgHZFnx6aBab94vGPKc53SBAVycvi1SVJ6rZNQzrfFQ9i/mZzA1VjPvaglbjw3c8vjcvGDIj1IELbemwQklRgEjXJi8nm+y+5z7rG3I+TitrIFhFst0HIXkyS2zggGKlz19WivXLDVoZas63kmivNGdZUx6U4iBoLVjLYp32Xv9dRt/mKHBGAA1ZOZNdpUMfUkAyxLAiEJF66Anske4U0j+IkqaiYgPm/SLXO9AUbJ4wr73IbkypurpaqZOXc/MVxE8845gAcf/BqMV1DpV+LWkXq16VisgWHmeeHZ6tN/9sMzy94/Lo8QtuloqhVUc6iSnDZQUQJIsCLyVbiUjJSq3HYxlx1XXVEBEs2CEuCOum56fej0BdSbejX1CEF1bliaWwqpjqxPpLLb4rMBkGFDcIWayLtLbZxqEjqfD0Hj9SPVoLQILmu2nK8iPpVWyIyY/K7VDt1IEkQ9zy8Dw/tmcXOfX3xnDhhTcVUjE9qJ45ZGPSckX4BAD78rRtx2e3bvP2qvmUbRHX8tmyu0vlE9glubnKu6NqB8a7VvdrqGoRKEDaDtk3aUH3lY7ZIdX1LtDrgiqQWxmHJxdQ13nWq1gxfI3aVbfmYzd7UF6QCBXPMUlCdL9WGGoceB1FHguhbVLy5m2s+Dpn5lFTdLseBJEmJjovJUbjx/p25tBWC1gahwep/HOp1YTU6WVIkBJBn5UW0otcRxwvIXhO2zI86B2gzAqpjkuHS5uZqGi7PuepevOnMq6rXtxgjZRWRXYIwNxnpfonCczG5PJPMpHO2oDPVtsJkuGxTFa45yn/TIXmsFaqScr+SF5NNRSjFQQDIksPJsQ09o23P4Y0TbIOQvAJJvj9JKlCoEkClbvM/C3W+NO/qSBC2tad6UN27bBCS5GUbh5no8L5HpvHPl90ljuHln7kcL/rkDwPuIhtzK0EUkFxXXem+xeRiIjeeVIyAqg8fVBNXAJe5uAH7hE4DnSLvOExVQu65I3TbFyQIG+RNMVzFZDNSixIE7M/YbF5w49W2ZvplV4I6G/cnb4oC527x0Vf3W45AV/34bRA2tYpNxWTdvOJq+gybtDEQ21q8mATblE1a7OcEsDo/bNKUnHZE5sYlydXl5qoyHivMWYzUhQRRMGg2R4AqE5UxDla37YLwfOI7t+Cj374ZD+2Zf8BcU/aMZUEg6qbakKKuwyQImTOSoCaEKwmgRCBsnkyDuMjnb4uDyFNA65uRknpEw2XV9dGGmAX1Tg0Vk10vbZFALPO7kl/JEfxmSovd3KNE5prFFCxWI3X5WKFrLvetTg9RManvZiCZuqY5XrNf1V6UFpOqtNh1xEHUCjy1qP1Mm4WSWEM4/dxIrcdMeCRntQdM94v4m9jh+LF6spzM2makVlDDttV4cBmpXS7CJlFpIp1Pq2LSkHA1j47TdbVir7BxtwkkFZMt4tIcU9oHVzY1Se2gIC1Y1Y+SIGyqLonrsm1G6lqhEoRpsFfXEQmEcF82AmEjMHUlCGlRmRKE+ixKEBYmI9RIPZEZXvuGTr8oklPuV/9NH6/+u/7ZnBaS+yzglgpELyar7a2arM+2Kdr07mb7lMmR55stqE52+a2en3DB+F19zyPavYiXE2GLQzLXb8dRPMlmsJeT+6VEx1wurnioUCxZFRMRHUVEPyCim4joRiJ6T3b8dCLaTETXZn8vC+mvELXLx12J1kKDWUxVgvr8m5+/wjsufVKZwyjSLxR9v/+lJwIoiqro+O5ND+Kuh/ZWJAiz32JRVV+r3QYRSiBsAYZh4qxNVSLaIGDngMz7KDZbo13CYOP95UZqybXT4o0TaqSe6qV9m+lS1OklFZMvDqKUq6i4Zvn+ijGWxixsXsws1nhw1VaeTxyEzRmgLxApBXMeSAZtl0de6uZa7ddWiyE9p/zdlthPNVMjt6oehTWiGAdJM6DsJuZcaoRALGE31wGA9zHzkwA8G8A7iehJ2W9/y8ynZH8XhXSWi9oCF2ONExA2OkBasNUMmKHQe6q68FU5/cc+ZpXYFgB+7ysbABSbQR4HYVHX6KqEEw9Lo0MPWj1R6bc/qKFikrLgWgiVxM3XkyDcacR1kGUDlaS0fLMVjdSyFxNz9X4ke8xUN3VGmOmXCQQLEoTP5decc5IzgC0OQrIV5KqrigQYyXUNhLQc9nTm1Xmh5pS5KQ6SJE9MWemnskaqEkTX4ggAlCUZVWAo7Ve8HIDqJrprRvYgzKeWUjE5jNQ2yVLc9Lk65wB30s5gGMP7tw33DtXNghMIZt7CzNdkn3cDuBnAEcP2J3Hj6nuoBGELZhnEZi6m8HHpG1mIB4oroEZBheLb0lYXCc6Kfv/4xY8HkNZkNpHqpQON1IIrcW5stWx0pbYWrlk0ypNdRK4ELeX2GHlTjAQC/5nvV+tJiHp3i2QpRRpP9uSNQKrDbJN6YuH9qXHYNn2JqEnjBaqSZRooJ6s+QnMKSVlwbZtif2CXIExJxpW4UNbnF89Cv4RLgjC72W2VINKGeS6mGs4Lkw4CoVxzzb3L1CIMY3A258D/+ffravcBjNkGQUTHAngagCuzQ+8iouuI6CwiOsByzmlEtIGINmzbti3fMCS1kbT3yF5Mjo1AMBiGQF9IO6bnSr9JRmqbG6g+ESczLtW2wUgbQbcTYUWvI264/djO0ZmIBRWFzWio1AXP1yK060oQtjVhq/Gwz0h06HIlliCqmCxpEiSvOZsEoU4tB8oV19SRb4rGJhpF1fuWkgACme3NkAryWtCCkdpWO6ISVGdZIy6u2eSE+4ndBlGRNkQjdfrfl/jugV2FF5BLgjD7sRGI7XvL67dj8egyNQ6AT8WUCiXmFDXbSmpnH1yMZh2MjUAQ0WoA3wDwR8y8C8DnADwOwCkAtgD4lHQeM5/BzOuZef26devESmeAw6gmeDHZDJ19w6hWR4LQ19Gf/8eNpd8kAmELqNE3HMWl5iqmipFa3ggishipHRydiVjgFH1SwVlvfWbR1iGlmSC4kwYCwLuyOhArJjogAu7cukccQyhRF9NnOGwFJpMx1VMEQpYg9OZWzyQLUZMcLvI5FBDcpwLAzGRwvYisNoiqR1dUum7eVrDHKKajIhU4vOZMDnuQpPVEQlx+gbKK6Y9efIJ2L/bN1exn1pJu/+PfTpNaXnn3wwBcNojqfFPPXNrkzUhq2zj0Z/PvV98njtFEEznjgDERCCLqISUOX2Xm8wGAmR9k5piZEwBfBPAsVx8KNlE7zRMkt5dc+PS+EhFgqAAAIABJREFU9LZSTEE2Xue49Be00yZBCGoHc3GXCIShYqrk8hHKNALKmCwQiLpGapuHhrDpr5ro5NyT3jbESB05AuXU6ac+Mc1WO9Xr4AmHrKnojxPLZmuDzUgtjVnaQBXxrtog0v8h9bkltQogq0vNWiUKXSFQri9w4+q7RCAkFZorl1Yo1zw7iEtzovRbvzpmM+LaFweh1tOzjj0wP+6KgzD7sRmHX//MowEArzol1YSr92GuPzMwEyik/tl+lfgoZtWcoRUJQvt+7lU/t9xNtW8TPjdeCePwYiIAZwK4mZk/rR3Xo1ZeA+CGkP6kVAbpd3ki2Sqjqd90mK6B+iL3SXD6zybxkrxVuhYOTZ+0arL5vZjK19s9M8BtD+6ujLEWgRA4xZUTqR+5mTZZd8lVsJfZrD7I2UGMLTtnRKOhpFpJN7qwzdYGWzQ+UPXnl9SUSsVUsUHkDExxzJ+LqboxhlSUU99NoWxOKPUJyOm+Je8v/Trms5DW04SFa57pJ1gxUY49eHkWrGZ6fw2E5ILquUhSp65iWjlZZC9wRVKbz1TaxAFgVdafcvSw2ixdKiZLcS49klqhSliL76FygUQYh/GOGocE8TwAbwLwS4ZL618T0fVEdB2AFwH445DOrLpYwVgHuFUJldQAhhFXv4QtLN8clzS2PGJWyDPjkiAmcgmieg3AzikCwI/veLhybC5OrBydCYlTXDOVLnbTPbAf23XYLhuLwkXXp5W1Pvlft1bHIXDkaWU0WbVj2k1eefLh4nVtkeJAmN59yiJBSMn6ilQbMlGrqEsdKiY5db2swzaT5EkShNUrMI8UrxJAcww9i4ppuh9jRa88hk+89ikAqhKEGcMCpM+NyOKFxsWzmOx2cMtfvgRTvcgZdGY+U1sktdpYleos1GapnyPZIBjpuzbft7mR1/Vq2j3Tx20PVBnCvXP28qs2dP1NmgUzXw65TneQW6sJ9ZIku0KdXP6AENhjTNKSBOF5Z/qlzQWkDKp6nibbpqHrtJWKyVb4RnKftYGZMdNPct259Lv+TAcJY0VlU5S5ZiknjbXKmLAoJ7sR5uIEjwiJCyWdfi+qbnSFBFE+/4mHrcG3fqYqrBX37lIxVV1Mq6qdwgZhi4Oo9lslPClhrcxlQYJwMUaVxHex2uCq895GsE1DedeSpiTdmEuH8k3RnBcz/RgHrSq7W9uem8mc6WOWsq6acRBTvQ56FmOygj5ljjpwhVUFM2cQCJfXozlmm3cbYI+kllRzCiEeTb/1xStL5X4V/vc5G3Huac/xnq9jyUdS2wx7XYsEIakSbCUg+3G5yIp+mo+qMzNeetKhAICnH71/6bfpuRiT3Ug0UpsTelqwQajzzNuTCrLYoCaslExQ/11BSiNgE5/7sT0/jy0raamtIyUGCxx5ryurSsx2gN2AmrBQa8LiVim5dtrcGSU1gi26XeKaATk6Wg1f4vQrnLHa4LqmiikS+pXXU3F/VW8xm2unuUam5+IKQ9KN0mymFSN1XNXnp+0ji2uuXKPDLUEU/Zx85P5Wz5/ZQertp/YJm7Q/JyS/dEkQas6Z885Ut83VVDFJxAEAfuIpJyBhyRMIG9ccRXL+ejlKNPvNwtHlfWpv8sLr73eOK2HguHWrEFH1pe6bi7FyorxQCgOcwT2UvJiUDUJdwyJBWDxF9MUynUkxUz15CkhGQ1M37gqIMtUZVoO2QAQKFYWka07/l1RMggRReHRV1SpS34M4CTaKipuiVYIIL8kZWzZFKfFkEedRbtuJIiHNtvwsJjqEuTgpcaWF5FVu6/LSqhBhG4HoxxWGhIgw1etUnltf4MYBe9rxdLMtj2PHvj627JyptFXQp0CvI1fXU/ehE1dbjQ7Jpudyc+VszOa4TZft+URWq3Kmw2LJEwjb5O8IiwpQhmfZgCoGygl2AgBYM9VzjouzhSOVEk0JRFm7V0eCsBqp80Cr8v0df/BqACgtANWvWrAHrEzv5+VPsRsNJ7ph3LjE/flcO7/2u7+QH3N6qwhuzb0OWY3UdgJRjDlJ0iSHtlTNkjHS7HfKGignpIFRBL5i85IlCCmSemCRFiUXzDnLGlHrQG9feNiVx6Dub7qykVeZAZsNYqYfY2qiKrFK9dgHSdVIDdhzTen1IHRcctOD1YPqnOxep3qRtV8AmIvL3lfquVVzTVWJ2oRF8gKKkqPmuPfNlm0FJQki1Eqd4fO//Yx6JxhY8gSiCA4TjNTGQmFmMaulK3ma/sJLny16/h/dtg375gY5RzPRiSoqmOn+ACusEoSfQFjjIPJNsTy2NzzzKADliZYTiGwcV3zgVHzhTc/AL52Yuo9WObpqkJM1IErgpAq9LYy26ZjXriwIrqvOdKHT11RMgrFVjUlKUGeO2aaas9kKpOI7E50IRLIEYYu7kaQCKY+W5JkkBZKpvqucrdxWSlFe2CBsEoTA6Qe6uU7PVSUI1XfFBmFTMVmq4EmSjA9xwpjoRPjhn7woy2xrUTH1ywGlag6Z7ecEzyu3ikm2Qew1JIhp7XtN+lCJfamLJU8g+jnX7DfsxZkLX8WN0CpBlN3WVkwU50li36aH9uItZ12F93/jegCpJX6iG1XEcknFZHNzLRupy26u1TgItSn61SqFiqmT///VJx9qVSVIIr+NU5S8OQojddWgDVTfCSDnvpJyG0kRwQMLscyzrmpjtqkpbUS7H1eL7xCRyAkzy8FsgOzFJEkQEVXbzlnmvShBGEZWhaI+hvYsErlfm5fWwMIMEJVtU8yMmUEiEgjpuUkMiepblCCS6nP2IWbG047eH4euncqem6zKmR0kJVVskfTRlCCqmQmIyFpvPuF0jzCHbbqNl7yPaooQqybn54e05AmELTgsjRJlUb/a6wZuBEk58lP5ugOyyKhe5Dd/ltonJroR1q2ZxLbd5QIg+wROSg3fqWLqlVVMNm7cXNzSRj7Tr3pSAfaNQKo+Z825Y1nckuvxBRvTyFCdoNg2PwA449K7AJSlp57g5jqwqFXU9zmJQAhqSiDMWwWQOWGpdoTPi8mEJA3bJIhOp/qMcy+mipG6qktX+m+TgZnsyozDnCBNkVKtas+4HzPihCuSMyA/N8kTTo3ZVltB9I10QHdtlmJCFGb6ZeN6V1hPsVJTCvN+UlAzD+IEO6f7YjbXvbOx9bsr8E+C+R7rYukTCIuKSUo5nNsrhjRG6vpTc6FIWNHrYM1UF3sNneJ0HQlCEy8Vd2IrkmPTS0sivxq/uWDtqgTBAGc1+MopFdKNrnzsv2/eCqBMDN763GMByNzPjffvAmCq+6oLsG9hHFSRGD3vjlIxmW6gLglC2rymugKBYDnKH6gjQdg3/Up+JYGY2NpKjMO04IIN6C7N1XlhPjeguikqRkdSeYgShEXdJrk0A+laMInrK08+HMetW1Vpq6C7NtuM1Fff8wh+uml77oSQjqGqYsqfcVd4Fr3q/Z15+d0AgMvveEiQIEwCUcxVGxGT2gLV9V0XS59A2Dw0hE3R5uVjL7Je5oT1RSNJEOYmtWKig6leB/uMTWPf3KBipLZ5+dy8ZVf+ecqQIFQacAWbZ1Kud4+rC9YqQUhuhxYJQrJBiBKEEMSV/6Yt7ne+6Hgcsf+Kysa6SSvafsxBxcJfMdERjadAdVM8YGXqh79Di7GwShAuFZOweaXjqHr5VNxnHQyJrHe3b/qS1GPq6NXmVJWmso1O63tbVu7ywEq8QriKCUjnRpkhKdu8dEyKNoiqGg+QpSkgc62uSM5yrikFnQG0qa5+/XP/g0f29UuETSKsRayJ8CwECeL+HdMAgP+/vTOPt6sq7/73OdOd781wAwkJ3hASQiIalDBGCYhWVFrHYq1SrVNtFXj1fZ1epbafvvWlVYtznUCt2lra8r5SEGUGSQlDZCZEEi4BQubx3pvcmzs8/WOttc8+e6+dAcI5Z4f1/XzOJ2fvu87J7+y99nrWep5nrdW/ZcgzT6q2kR+MNfr7+j0At6zaVHMc93o8F/JvIDLytn2Nl+shZLkSfBk2NS6muIHwjCCSo4q2cpG2crFmFADWxZQaQfg1xP2PLnPKVajk6pObrCvryO7WmvO+bCPXoCaNiXMl7Elo3uvxr2bFIEYnNJXZAv4RhMMXAE9+70U/v8/72Y6WIkMjYwl3or9RdNc9/hBmxbH2FaT2jZDaK8VUBop6Vn6tLiNe+/kxTyPnyqcNhDlO3hOfqyQaFWSMWuO+9B27zbphvZ216ZH7ik35evptlWJNw5Y1MnHf7Z0H4XUx+YPJ4xOeDKJiIbXDX/Iz7l64OFbWRLRaF1N6BOF+q88AJo0lJJahT5RPBqlrRhD7mNeRLAvpDtLBknsDkdWT8jVekd/2AIORyc3b45U7mQbqO9daLtLu6d1650FkbXpvD885/ojooc2aKD04Mka5KKnJSM5Vs2tPtfIMJ4LUcc2QHiH5As+Z8yD20fvLWqLkQHp/WVkmnS1lJrS28RrNGC266x7vsWalxGZloGTN8m2vFFPuAZ+Lybkhfv3IhtT3egOzniwt34Y6YAx8srF1jVdyD+ZqQxd3MZn3WfUift1cVqDPxXREVwtbBquxt6wRq9FcSLs0M65x2bMYIfjdc1mLET6+cYBfPby+ZtHF/e3HEjfEvg7XRrvE+PRE58z8vmLqeXJL9Kkn+2pPKkhd/eyoJzkmTvIZOZhNznzUfamNQ001WLf/AGqWKyFrHkQyJbZtPyOI5GJfreWC1/2xxzOCqAZEkxlPY5zUN5nLY0tnZ930oZGxVCMA8JIp7QA8uXWIU44xK13u18UU0zwxof4eWsZM6qzeX2dLKRWAc/gC68mHO2uCeKddTG1gZDS6rllBXPd74yOkrMbWxZz2JBvFjF5ze6UU9cAdvvx818Dc3V87s9U3Ac9pTrodskY9reVCavQ3NDJGsSAp/7+rK4OxezKcMbJsLbl6URuYVfVvcdvRUqodQbjvzQhS+/aD8F2LTbtGePCZ9ExhX4A/GSh3vO6y26P3s62rMp7y6/PK3LiyOp8imgcRH0HY0bxvfpRvBNG/xSxPr6SzmJLPyEBs0cqs9aIch2ofCEfuRxDVtLysAKov392fwhc3JnvHJlCt7Tm0xB4a7wjC42JqLRdTjdHe8QnaywcWgxgaSY82MkcQw2PewK5zOcU3PnEPb7K8z5UQLVaW2k8gy8U04W00OltKDI74t3VMb1tZSD0MG3bWZoNF32sXDYw/WFkTKCMX02i8rD+g7YxJ3EXo7o+v15w1gkgadN+1cd/tM6xtnu91GXbJ724tFxkeG69xlbiOQ7JsT5tpzHbuqd4TV69TS2IUC5SLUlPv97U4ZFu5yG6P4fG6mEqFGmMCbsnx9Pdu2GVmRq/fuSddPulFKO07BgHV587V5eRIxkfZM/JyjbhbwDJOpZQ2VLes2gxUZ1PHSXYG4vGyrBVnHb7f++lzj4/eH+zudLk3EFmNl693m7XssbP68eWlXbAuPlW9pVTgLSea1UB9I4jkSKGtYmIQe0arD6xrmNJZTHYE4fEfpw2E30IMZowgWstm3ad4T2RwZIySp1fpcyW4hzfZOyoUhHJR0ouLjU7Q4jMQrbW9yrjvO7XOU7GQGk6fMLM79Z0AHRVnIKrf7X5rRypd005oizW4ro4kZ4pHo43YtciqQ2BGEMmGXD0jCB+qyq2rNrNlIG0E2zxB3L1jfhdMq909MF7vBzLqxaR2j4HYm51tlOzsOLeJb0XgjpYSu0djLs19GIijJrWxaWAk4Q5Op1XHSY6SfBPrKvuY/OZwv/Pp7bsB+Fu7OVCS46d3Re99qdID0QjCYyCKBW97AfDJ189PnUvGIOI7UibbmCS++Vl/ftaxfPTsY4FsN20WuTcQ1car9sb4/MdZZaNlq2MNzEbbUzmiu2ogRISv/tErmNPbkcry2Ts2wWeveqjmnItBjE9odGOyAoZZAdGhvWNRA5gsmyTLQIiI6b3HgtpDI2a0keqBelwJbsOjbk/l97mCBoZHvQ9KV2uppjfkevxnzZ+W0u3r/fl+G0C37QnHR0jP7hymXJRUsFVEIqMd12v01RrA9iigXS3rOhHu/4zT0ZJ2BWXN8D15du2Oulut9mc9awf5RiZZ19g3Aty5ezQyBnHcb9gZc4sN20lhPjdmT1u5xpi4e9njuRZtlVpjkhXbgOrzF/+Ne0bH9zkLONlQDo2MpTpS5WKBcesejXNSX/XaO6/ALvu7lvenl8UH+H9/sSR6323rydbB6nXblVGH3P+RHEF0t5Y47+Uz+KjdGTHO3rGJmg7Bjt2j0TV2y+ZkEa9/Z82fFr132Xv7MzBJms5AiMi5IrJKRFaLyGf2V37DzmGKBUlV0skd5jgeKHO9M3exHL7c+E3OQHSlg06VUiE11PvlQ+tT5TpaStED4W5M1kQk90B6lydIlU39V0C10ffR2VJiIGYAs4yJz5Wwboe5FkdNakuV96UzDoyMMTmRJglw7LROHt80GGVquYfqjS+bkSrrMzzxexnnaBtjWbej6nZYv2MPR3a3plxX4Hz647Gy5vellqL2ZDz1bzaptr5r0VYppnp/viA1wNLjzMPrrp0z3m4DnRod5XSW1rode7x1M1ozKaZjxx6/gfC5mAZH0inYjsntFbbHjMlqu81r39T2VNn2xDXeV5Da1dn4dd46uJepndkLzcWfVTfpLGm0s7Ls4h2lu+wKp+4eOUMWp7ezUvMMTutqoVyUmhT0rEQASAfhR8cn2DU8xrHTshv7eGdn5+5R3vbKmZx6zBRvxyRO/JrH27ko+STPBkJEisC3gDcAC4F3icjCfX3miS1DHD25LdUzccGn/i27o3NrNpsKPbu3dvJMe6VIZ0uJddurDUxWyiiYvO3kUC65sTnYNNdKbVDUPQRZMxy/feuamuOhvelGP97gxBuNrEYfTC8tOYLIKpuc8OWuy0xPo5iMFTy5dQhVmOOp/H1T29k7NsGWoZFIL0CXR4cvBrFlMH2NAabYByHeeD27Y9jbiEO6d/v4pgFaSoWozji6WkpM62ph5frq5iv9W42BmOfpyXVUSuwdm6hxnfnmQUC1IXFuMdfgvdluaBTnuCO7GNo7Tn9sHsjqTYPMj7k9HH1TzG94bEO18dq+ey+T2tIGu6VkXKC1o4K9qTkQjknt5ZoRoHPLzOlNT0Zzox7XGagGqf3ZX1AdUe7eO8ae0fHU6C9OvC4/tmGAsQmtcQOBf/4P1HoK3nNaH1CNvSQb0FJBeKddy8zRVily/PRuntpWbVsGhsfoqBS9o/vJ7RW2DcXc17Ztmd6Tblscrj0ZHZ8wHa72Cnf1b0slNiTZHmuH4kqcrngdOhCaLYvpFGC1qj4BICI/B94MPOorvHHXMNc+uJ4lc6em/jalo0JXa4lrHnw2yiy5+bFNzJzUlmoYRYTjp3fxk+Vro57WXf3bKBYk1asE44ZZvWmQr1xf3fHsh8ueBIyv8pLzFvKd29Ywqa0c9Zi+fetqetrK0fLDvl7awhndPLp+F5de9xjlollLanh0IuXaiRuIT/37g1FF27RrhMV92SOIlRt2RZpXrh+gt9PfEHS0lPjhsiej63R3/zZKBfEay0qxwH1PbY++11XAuR4D4T5/2Q2P09tZia6FN/OjWGDjruGaa+wM1anHTKkpayYkFrhp5aao4X9800DUS0/S01bm/md2RN9966rN9E1tT402RISXzezhzjVbo7J3PbGNctF/LVxD96XrV0UuzkfW7fKOINxv/sLVj9A3tT0a/fiuhYu9fPXGx+mb2o6qSavsm5LuuS86ugcwM3VXrN0OwMadw5w+J/2MgGn0f/RfT0YdrIfW7WRGt9+wTm6v8PC6ndG1uHPNVlrLBa9BcVuLfun6VZQKwv1P7zDnfSMIW/YHv3mCaV0tkbH01c+ffOAULrj8bv5txdM88Iz5zsfs7mlx1xFUYyNfv/HxqKOmWjvSPNPWEVdfB0bGot+3bvsexiY0mhsU58juVh6I1aHlT2zNXOG5t7OFbUMjUVmn98jubAN4+R39zJrcxqZdzutR/e43fO03LD1umjdG89undkTvJ8VGEI/Z0c47v7ecC1+Tdmtl0WwGYibwdOz4GeDUeAER+TDwYYDK9LnMFDjruCNSXyQinDlvGtc9vJ4Hnq5eNLcBeZIlc3u5d+12vnXL6ujcybOneF0UJ8zs4Z4nt9WUnVBYMncqP/vgadH3gfEZtleK/HT52qhsV2sp1VsF+Mr5i3jPD+7ie7dXRxEtpQKLjq7dcOjoKdUH+N9WPBMFQUUkM5C76OhJ/HBZf41mt3JrkjOOncpV962rKXvanKne3tHCo7q5aeXGmj2vZ05q8y5xsHBGN12tJf71nqeic92tJWb3phu6BTO6uO7h9TUaigXhsncu4q2vmJUqf1LfZO5cs5X7njKNoohwcsKQOBb3TeYny9fWfPd77fIeSV49r5fbfre5puySub3eazF/eheVUoHv2/WiHOcsODJV9sSXTKKzpcTVDzwb3b+etrL3Wsw9opOjelq55sHqHiSt5QKLZ6d/X1drmZNnT2bZ6i0sW70FMB2KRbMmpcoCnDlvGleueLrm973xhLSbC+DEoydx7UO192TpcdO88YrjZ5hr8d3bqnV5Tm+Ht2M0Z1oHXS0lrry3+ui3V4osmJGuyyf1TWZGTys3PLqRG2JLeS+a1ZMa4c6d1klLqcAVy/qjc4oZWXzidfPZPDASjX4uOmce1z28gTWbB6Pf50IXixOGB+CUYyZzy6pNNdfitZ77DObZKxUKNWV7OyucMLMnOj5hZje/2zjIl97xcv76Px/lF/evizS0V4qc1DeFvqntrN26m5Xrd7Fy/a7M5Ic/WzqHo3raOH9xdeTztlfO4sd3mjYormN/yMGmPb2QiMg7gHNV9YP2+ALgVFX9mK/84sWL9d577/X9KRAIBAIZiMgKVV28v3JNFYMA1gFxh98sey4QCAQCdabZDMQ9wDwROUZEKsAfAVc3WFMgEAi8KGmqGISqjonIx4BfA0XgClV9pMGyAoFA4EVJUxkIAFX9JfDLRusIBAKBFzvN5mIKBAKBQJMQDEQgEAgEvAQDEQgEAgEvTTUP4mARkc3A2v0WbC56gS2NFnGQ5E1z3vRC0FwP8qYXXjjNfarqX2ogRq4NRB4RkXsPZIJKM5E3zXnTC0FzPcibXmi85uBiCgQCgYCXYCACgUAg4CUYiPrzvUYLeA7kTXPe9ELQXA/yphcarDnEIAKBQCDgJYwgAoFAIOAlGIhAIBAIeAkGIoD4dnwJBAIveoKBeAEQkdeISHpLteYl2s8wL8ZCRHrtHua50Cwifycir7bvm15vXhGRt4lIegu4JkVEumLvm65eBANxCBGRd4vICuBsYHR/5RuNiLzL6v1bEbkYQJs8a8Fe4/uBLwM/gObWbPXeDHzIvppaL4CIfFBErnQGLQ+IyHtEZDnwKmC40Xr2h4icLyKPAJeKyN9Dc9aLplvuO29Yq18CLgY+B7xBVZc3VtX+EZHFwIXAR4HVwE0iMqCqV4iINFtlFZES8BHgD4GPAXcCT4jI6ap6Z0PFeRCRduAS4GRMvagA54lIp6oONlTcPhCR1wOfAFYCp4vIw6q6vUnrhAACvBfTWThDVe9qrKr9IyLzMc/en6rq3SJyh4hcrKpfa7S2JGEE8TwQkVY1jAK/A34GrBWRioi8XUSOarDEGkSkNXa4ALhJVZer6haM9i+KSE+zNQRgNpMCrlXVpap6B2Zr2nuBzY1V5kdVdwP/pKqvtQZsMrC0GY2DiLTEDlcA5wDfxGz5uxSar3crIi322ZsA7gb+FRgRkYKIvFdEFjRYYg2JazwLeAB42B5/H7hERF5Rd2H7IRiI54iIXAL8SkQuEpHjgOuAp+2/vwXeCvxYRD5nyzf0Wif0Hg2sAt4gIgttkQlgF/BxW77hdUNE/lpE3uSOVbXfnj8ZuApowRi1v7TnG32Nk3pXxt7/f6Ct2dw2IvJZ4CpbL16qqltUdT1wG2Y/+MUiMtuWbQofeULzArvr5PXANZiG93TgChH5v7Z8o+tFXO9s4FlgNvA6e017gDWYNqPheuM0jZA8ISLvx/SyPo1ZbfFL9t+rMRX1XFV9D6ax/V8iMtX2dJpF7zcxLoSrgE/ZOMQRwB9j3CAdDdY7RUS+B1yEMQBJV+gzwDmqeh7wKeBCETmqUZoPQC8i0g3cDBxZb30+xOz7fjPwUkw8Zz7wPhc0tdfyRqALeK0919BRRIbm91t33q+B7wJvUdWPABdgfk8j64VP78dsx+E/gTcC/wUcB3wYOF9EJjXy2UuhquF1EC+Mz/MLwPn2uBP4IsadANCaKP8vwPwm03spcLk97gFOtO9nA1/HZDVJAzW3AG+0738JfNq+L2SU/w9gSRPqlUS5nwMX2ffFRumN3fdPxI5fj3EztsZ1Y/z7fwm8D/hME2r+Z0x8pwiUPfXi9CbT+3P7TBbsc3a8/VsB+A4wpZHPXvIVRhAHidq7CfyJPR4ELgMWiMhZqjoMICJlEfkG0E0D96zI0PsV4OUi8hpV3amq94tIBRNUHVfV0djn6o6qjgC328MvAB8SkRmqOhF3c4hIq4hchvHvP9IAqcA+9aoYivZv1wLvsp8Zb4BUwLiKVHUnxvfteAQT1yk73fb8fRgjcWmdZdawD82zgBZVHVcTC0RE2kTkq5jG9tH6q92n3qOATlWdsM/ZYyLSiRn9tKvqtkY+e0mCgdgHYuYzTI8du4fmUmCOiJxpj7cAPwF+z5Z7C2boOA78oTMaTaj3HFvulRj3B8Bn66E1prFGs0NVB+1Ddg/GH/439rxrdP/Angc4T1V3NKvemDHYAHyr3j7mpGbXAKnqQKzYqcDT7py9zhXgq8BvgDmqWjcj8Vw028+dDdxkD99kG+lm1nsMxt0E8Gf10HowBAPhQUTOEJOj/D6MSyb+t5LtMX4LE3v6Z2LjAAAHAUlEQVRwlWEc2GaLPQa8Q1X/h5pslmbVu90WWwu8XVU/UEdj5tVsG39XL13P+zPAq0RknoicDpwA3IG5xh9v5DU+AL2nWc0AN6vqT7VOPuYD0RyLl/RhAryIyOliAtZ7gbeq6vvqcY2fp+YzbGN7P6ZT1tBn7wD1zleTePEOVf2Qqu55ofUeNI32cTXbC/OQ/xD448T5Quz9DPvvzZje+aswQbJP5UzvJ5v5GmOG3O74a5hMq/uBk4PeQ6a5077/OvB/MMtLXw8szJnmG+qtOY/X+KB/Y6MFNNsL48/+ETAJE/y6AJiLDT4D/4BxH80G5mAmb90GfC7oPaSab8dMMhPgPKCfBhjgPOo9SM0nYTKVnsWkPl8cNB+eep/L60U/k1pELgJeBixX1csxbrc5wCLMjNIRzAO/Q0Q+gZk1/SZVde6Z74jIFWqG40HvodP8ZqdZRFZhMq3q5U/Old5DpPlvgCtVdWvQfHjoPSQ02kI18oXxGy4HzsX0qj8PtGHcMKuppoZ2AVuBRbHP1j1NMW96D4HmUtD7gmuuBM2Hn95D9XqxB6nPAf5OVX8F/E9MDvhfYPK+u+wLNVkH/4yd5GSzVRqRppg3vfD8NI8FvQfE89Fct5FkgrxpzpveQ8KL0kDEsk7uwwwJUdV7MZkxL8UElj4JvF5Efl9EPg8sweZUq+0WBL2Hj+a86Q2ag9568KIwECKyRESOdcdaTTNcBhSkOj/gYcx6Siep6j9hZja+CngJJtf+maD38NCcN71Bc6gXjeCwDlKLmQB2KWZFytNj5wv2xj+Omd34ThFZpqrPiMgRwDwAVb1ZRG7V+uWt50pvHjXnTW/QHOpFIzksRxBilrn4Libf+OuYnP+z7N+KsZs4gJkl2gJ8WUTKmNS1aAnpetzwvOnNo+a86Q2aQ71oBg5LA4G5ibcDr1bVazCrli4QM6t4HMzSzJhg0k7MGkSTMRVgJ/DjoPew05w3vUFz0NtwDhsXk4icBmxT1d8BQ6r6s9ifi5hF6MZERDC5zPMwq1OusZ9/P9ChtWunBL051pw3vUFzqBdNhzZBru3zeWFmMV6LGQJ+HnPjwC6pa9/PBTYCk93fYp/3LiEd9OZXc970Bs1Bb7O+DgcXUwfGb3ihfX8mRKtoTohJU3vSllnq/gY1Aaig9/DSnDe9QXPQ25Tk0kCIyJ+IyFIR6VbVdZgA05XAMHCq2L2gRUTsTXX7wbq9GgTqGrjLld48as6b3qA51Is8kBsDIYYZInILZgOTdwP/KCK9qjqsZmnfGzEBpNdAtKZ9UVWHML/1NHc+6M2/5rzpDZpDvcgdeoh8VS/kC7uOEGbv1p+6c8A3gKsSZT+OWVK3h9rll+u2Hkre9OZRc970Bs1Bbx5fTT2CEJGiiHwRsxH8Usym3+MQbdl4MXCG/Zvj+5iNO24A+t0QUuuwHkre9OZRc970Bs2hXuSZpjUQ9kauwAwDV2O2cBwFzhaRUyDyC/6VfTnehFlE6wHgZar6bNB7eGjOm96gOdSL3NPoIUzWC3g1cEHs+NvAn2OW3V1hzxWA6Zig02x77s3AmUHv4ac5b3qD5qA376+mHUFgegRXiojb53cZ8BJV/RFQFJEL1fQKZmEmtjwJoKq/UNXbg94DIm+a86YXguagN8c0rYFQ1d2qOqLVfQxeR3Xdkz/FTIe/BvgX4LdQTUlrBHnTC/nTnDe9EDTXg7zpzRNNv9SG7RUoZgOOq+3pAeB/AycA/Wrym1HVhqek5U0v5E9z3vRC0FwP8qY3DzTtCCLGBFAGtgAvtz2BS4AJVb3D3fAmIm96IX+a86YXguZ6kDe9zU+jgh8H88JMWpnA7OL0gUbrOdz05lFz3vQGzUFvHl9iL2pTIyKzgAuAf1DVkUbr2R950wv505w3vRA014O86W12cmEgAoFAIFB/8hCDCAQCgUADCAYiEAgEAl6CgQgEAoGAl2AgAoFAIOAlGIhAIBAIeGn6mdSBQDMgIlOBm+zhdMxS0m45h92qekZDhAUCLyAhzTUQOEhE5K+AQVX9cqO1BAIvJMHFFAg8T0Rk0P57lojcJiK/EJEnRORSEXm3iNwtIg+JyLG23DQR+Q8Ruce+ljT2FwQCfoKBCAQOLYuAjwALMDN6j1PVU4AfABfaMl8DLlPVk4G3278FAk1HiEEEAoeWe1R1PYCIrAGut+cfAs62718LLIytON0tIp2qOlhXpYHAfggGIhA4tMTX/5mIHU9Qfd4KwGmqOlxPYYHAwRJcTIFA/bmeqrsJETmxgVoCgUyCgQgE6s9FwGIReVBEHsXELAKBpiOkuQYCgUDASxhBBAKBQMBLMBCBQCAQ8BIMRCAQCAS8BAMRCAQCAS/BQAQCgUDASzAQgUAgEPASDEQgEAgEvPw3vAIPKuC0P10AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot calculated feed-in\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "feedin.plot(title='PV feed-in')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Power in W');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Scaled feed-in**\n",
    "\n",
    "The PV feed-in can also be automatically scaled by the PV system's area or peak power. The following example shows how to scale feed-in by area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "feedin_scaled = pv_system.feedin(\n",
    "    weather=weather_df,\n",
    "    location=(lat, lon),\n",
    "    scaling='area')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To scale by the peak power use `scaling=peak_power`.\n",
    "\n",
    "The PV system area and peak power can be retrieved as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.646"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pv_system.area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "206.7989"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pv_system.peak_power"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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XnnwMAODYTWtbHUMTmENu3dRk99M4Yd9TaO2bGKGYRIumr+l+RyAA4G6jOsr/G+Xt7QAearU7Jv+sBmb+EDNvYeYtmzdvLj4fpYx+Lykosc+7w3Coa/IFPSmOZ1IH4WJgiGvTOQu1t1VMkzpg7FrmTR7NQzZMtzqOahyEfyC9XDe+rmUi1QTG/mck8uXiWdUmbKk2tDaMqnJ2OAoyGmZfLFdX96UmEOcAeGX++pUAzrY+f0XuzfQMAA9YqqgozI9KG4R5r2FoGbSBcoF38GOUcqHyaHqIN1ExLQcbRBNPqn7Lm7uJisnM6ySPl9Goup9WY513W6UaUj8aFVPKYWJppK+pB5sEQUSfBnAhgEcT0TYiei2AdwP4RSK6AcDz8vcA8GUANwO4EcCHAfx/Ta+XSRBUxBR4CURNxTSZBb08eQYdi0lD3cRIPT8hG4S9Zs4JpK6wOcOm9pgQ0gZurmZeJxm3MV9I5GbvrT6G67hDSxVeaK5t5inESC13AjE2uZSZf1v56rlCWwbw+4u53vyI0U8S9POAFt+DMQShXNCTOZAmmTF0ITBEYc2g15hABFVMdsDihM6XJuvAlojatiXZwwhJXuZwHofUdcaFW/H2s6/BdX/5/EIdK8Fce00hka8+CcJW4YVosf3MQgTCOKpM9fT5nSSWJ9laAEZpil5Chbjv2zCuznRSHI/RNfdWSJRmYYyc7mGUcqOI59ABZh+yPCEK0WQdVKq+teyN1sTN1ah3QsbsheD9590EALh/v98Fc95iHAAEA1VXJKzpDUsQ8dKwSZu/frojEGPFMFcx9ZJ4N9eZCXsxmTFOSufeFEZqMNxUE04xxAnPDtOCUE5KW2LWxYlHbwy2NcSSaAwEwpqr4GFkVExjWEOm75Cka/bPTOH0sTLWcxPYTEtoqptIEMbuNeOR0CaJ1UMgRpmbq1Ex+Q5d1wYxKZHYLgazEhKcmUNxIZKXmWsNo9xNGZgcgTAE8OrbdwEAbrxnd7Dt2kFcBcMmGFUkCH9b410zDgnC9B0i7kNHxTSpOJZxghtIEPbZs9JjQlYPgUgzG4ThdnyLtFjQxgYxIZHYXjvj2OBtwyz20t89PG+PPnxD9v+IDd52KXMpQSxmkIuAIXgP27wOgP9gLGJppvqtuyvbB0yIcSiM1GNYwoX6KsAIlIGn2bqIyQ912gW34IwLt0aN49Yd+3DhTTui2o4L9mMIbVWbcQqtDVrmriqrhkCM0jTzYoqRINKqznRS8Qi2BLES1EyFBDEd7+8+PQgHLgLZBjQ+/ZPKjWUOulf/zPEAynodEuaH5aE4SrnVMdscapB7N4f4GFVMIQnbXHumwX76iy9ci7dH5h964fvOx29/+KKJStn28/U9a2bGd26wAng7CWJ5YJhmHGivR8V7DfOO3/akxMAKp7gCJIiy5ka87cbcVqi2cppy8ewmJ0Hk95enjPClgp93uOY2mQx7Od63z28gNmtoHBJobMzLvKNians/7c7L0U7SO8qeAd+j/to1d2P77tnifey6WK7bf/UQiBFjYLm5+riNoet1MSkvpgYBUcsB5aGYHaBRBCLfWqGNkrJtg5isF9OaQfj+DLFcM4b0Evba/buvXe9taw7nJnN2w926bcWGkbRDB37pNj7e/TRJ00asDWK7kxsrtC6M/X+SJW59WD0EIndzNXpsrxeT4+Y6KTGwmvd/IkNoBDfnToyKqZQgwiqmhCZrpJ4vvNuybeF1lXYkiDa52ybSwKhhHMTXr7kLv/iP38FbP3dVsK3psqmRelwS+WSN33HSvpt0L3ZdLNf9v4oIRB5JncRvbnMQTCrVhm38WwleTGaDzkzFe6tw5CFTkSAWMcbFoObP77k/wyU3kaZi0USabGqD+MmOLIXImZfeFmhpXyMkQTg2iED7s68U06wFsVwkCB/9diOiY9fFMhUgVg+BMG6SMRLEKGUQAdP9yabasMe4EryYau7BHiOugWkRliC4KOs4OQmietD5vHdqNogW11ATe1QRBxHxkx17ZvHOL1/XeDxhCaIaVxSqCf/G/7yy8Rjs60wCVRuEfn9uzEhoXZiulqsNctUQiPkRo2fZIHxG0Xljr4hI7DdOVHLurAAJwhzyBWFtMVAuTWG5uU7KBpElfOxHODrM1aSNyUgQZu3G/Oa2+/YXr4/YOBN9jT25kViDYRwGPUJC49OnT5KJqtog9HZuTGFoXZi13tkgxoxRmmLQsySIQC6mLLGfIRATcqtMuRBJV4IEYcZoctfHHEpm4Yc4qZTZcnMNj+VvFsAJhzBMGQMrZbzv/uYcI3UoVqAJFkQgIibNZoSa5NL6vTMu9X5vGIV+LwERjY0bnqSKKTaBIjWUIAwvtFz5w1VDIIyba0wupqK4kEnLMUE316mIw2i5oJAgBuF0Ji5ibBBNAuU++J2bo68di7lhmqdrCQdblkGDzdOOhNDkgDXMTYwEagewhYJDDzRIQGie7SAxEkT0TxthuaiYfNy+m1YtxHyaZ92pmMYMN9WGPw4izTjF/mTTE48sCWIlZCcwUllpu4mRIMxvQxKEpWKamJtriqleEhVsOe+4drZrpI5vO2wgQRgC8YyHbcJs4CImiVzcGLJr9xICgRpxw00I0WSN1HEeh25kdIiopZ0EsTQwFeV6EV5MwxFXoq4nl4uJi0pSK0LFVNggjAQR4cWU814xnNSk058PR5mKKcbRwRjoTR3mWU9QXVMYbvIJRx+EZz7iUG9bYxBmDhPWMtCxj/lR6m2/K1B32YYhlpmKqZkN6U/+64fRbZdLjieftOYu4ZBmwDyCzgYxZhQGxsg4iH5S6ponlc11lOu8gfGImA/sn8dfffFa3LtnNtw4Aq4NookEEcrPk+ZuyvZvlhrzxjYVwWQYHX5JIFpUMeXXneon4ShmSxIIHUZmzOun+2D275F79/gjuG2Y6/YTygiEZxju4XrlrfdHX6cJMWkbsUZqg0GkfbNTMS0RTEW5JMKLaZiWumaiydakNjaIcXgxnXPl7fjod2/BGRf+pJX+zIEy3SDnjmkRUmlUAuUm5cWUP4+oYEvHBhGjKtmxZxYf++4tQW7REOKpXhI8OCoEItC2rOfRr7yXsHeugYrJEIgeISHy3p87p03KtV50887otm3DXpO++zPE8j0vOwlAjJtrvJvyJDC5Suctw0gFURLEqAzK6ic0EQOxzSUC41ExGa425KYYi1G+2Jt4MRmEjKLVVBv+vsYljs8PnYSPEXXN108bAhFmMt76+avwP9fdg6ccdwie+NCD1XapdeAeCMSa2PMa0sAYNZjJNeVjjGYj7segcHPNsyn7loVL8IxKeLkjVoIw93fUQWsAxLi5Vn+33LAynk4EhqMUCZUeKCEDo1Ht9BKaiP5/6BKIiMN2djjCm868Erffvz/YFoA1F+1ISIUE0cQGkc9tyK0yTctAudBU/Os3bwxedyEYptm6iEn4aJ6XyWz7hUANa6AkIvcH9Ptzo8x5IYZ5sYPSYiWIDRESRBObyjBNQQQkSWai9R127v3cumNv9HVi8e0fb482sn/iop/g+FO/FFSBViKpPRKuufepfpyHpGm/TOnD6iEQI+YG6b5LfXePqFUf9liYhVHYICLO8G9fvx1nXXE73v7fV0ddo5iLllafGXOTSnymRdAGwYhO1vfp798avO5CMDfKHB1i1tCoeH5Z23MiCMS6PAvu3sDhNTscYbqfqbpatUFYRmrAT7SbeBeZwFMAQRuES3Tb3nnb7tuHV37s+3jzZ+KitU08jS9zL+DGQejtzJTGevp1RuolQpqikQRhDJG9hCZSD6KQIHrxKqZTPnEZgLqnhIYkYi6awJUgovqNNVI3iIPo98azbOeHKaasOAifCsYwFRtnBtH9mzX3kfP9MRyzw7QgECHVw9wwLYhUyI518S2ZDn99Pma/BBEvdZpaLEAWKOY77Nwx9lr2XNs/lx30N96zJ6r9vrx9aBT2qH3PxNzfdJHnrXNzXRYYMaOXlJswpB4obBARhsBxwBwwgwXo88PLOUMMJ9wEZszTDUq1FhJEAyN1iEKY+2obRsU01UuQkN+uYAj60QdnuuZX/PRxwf6NauLygOfO3DDFdL+HfpIEmZf5UYqZnFsNMRnf/NE9AKzKbxESxCDCiJylucnaJeR/fO799BoYqWMQuYRqCLa3VUw+FVpDT7/SSL08KcRECAQR/RERXUNEVxPRp4lohohOIKKLiehGIjqTiKaa9DlKs1QNMRKEiYMAskNpEhKE7akCNFsg0RJEUX61JQLhjLlJqo1GRurAdu2NiUAYFRMRYe1Uv+AuJYxSRpLr3TfO9KNiOJ5y3CYAwO8+41hvOyNBJAEbRJoyhikX3GrsEiocOXz1LnLi+DtPP65QSWkwhBVAMNVGzUjdeuzLwihE0DHCTvftWcqu6jg+WV94jJPAkhMIIjoawBsAbGHmEwH0APwWgL8F8I/M/AgA9wF4bWyfRqxL7DgIXyZOa0H3k8nYIIyBd6ofpx6wEbul+pGqh1iYQ9EQiJgIdNMixN02yeY6LgIxHGUqJiBLBb/fo4c3qV2ATAqNMdibYYcOxdn5Eab6CXrkZxyMBDcVqXL75ccfjsccsSEqGeGB4ShLXROh5hqljgTh1dFXv3zcURujxh6LhUoQoR/EFgwqziIiDHph5rM0Ui9PCjEpFVMfwBoi6gNYC+BOAM8B8Ln8+9MBvDS2M3P49CiLgyDye+7YC3pSXkxmeIMGNgiDSUkQ9XxXLRYMSq1kfYE+3aIsbWFoqUr6SeK9v7RyKFIwPca2+/bho9+9Jftt4AbnRrkEQX4JYt5RU4Ykr4zAl4GAPu72wHyKmVyKCS3NzEhtFqXfzdW9n6cdv8nfeUOYUTQ9cENEsGqD0NuZ+zPFy8IEIu76k8KSEwhmvh3A3wO4FRlheADAZQDuZ2bj3rENwNHS74noFCK6lIgu3b49Kw4+siQIIJMKQjYIcxj1JhQHMXS4vyaeqG6+Fw3mIGhr8RnCGhNI5iI0hpRLfXRouGMSIHI7VrkuQtH4Zg31EwpKaa/9+KXYlqfbDs3F7HyKqYjD2ajtCgkiMG9FUa2IKN/Z4Qgzgx4oIMUAZZobAMF03+5eC62gptIvRTIZLkLtK26uXhVa9r9HWTLQUBCuIeqdiikHER0C4CUATgBwFIB1AJ4f+3tm/hAzb2HmLZs3bwZQLuCKVBAgEDYxmUygXPZ/sIBAuVgJwpwbbaUSGbnBiA1qUscUDColiMnslowAZpM26IXXUCwxAarJ70J3l7m59pAEDmdjZJ4qJAg/zJgL/biHK7lv7zwOWjMAIUaCSIs1kUVS621rbq6BvptK96UE0ehnQYmjYoPwNDXPi5JMxRvr5tpJECWeB+AWZt7OzPMAzgLwTAAH5yonADgGQHRdwkKso1I9EOvFFDIEjgt1CSJ+DN+98d6odoabmqQEYRvh/JyX5eYa6nZMSf0yyTJ7HTr0ba45xh3VHnLoMIpVMRk3VeMxEzxsc6knJtvArgPz2LhmkHslxdsgQhKH+11M301Q2iCa/S4oyUTaIOyzKMY2VfS1POnDRAjErQCeQURrKTvBngvgWgDnAXhZ3uaVAM6O7dDW+5n/oSCnqjpq6XMxmfE1iaQ22N0wdUZ7Nog0z1+VHTIxdTTiUxTYFeUmg6pkmXidF4ZpmX02RoKwCUQwJYalYvJ1O1+TIOIO8tIGEWaiQqkzgKrBPiHyjsJd56G+GxMILCzhY7B9JVDOf7YA2ZoYJBR05OgkCAfMfDEyY/TlAH6Yj+FDAN4K4E1EdCOAQwF8NLZPiUD4Dn3bIJoRkwXcyCJRcxkd4wJpLQ4ijSfCTceRphwdST0mE0RFzRWzhkq1SlgCtN1gQwd54eYa4MaLQj29eAnCtkH4CLwhJjE2CNtgDzRLtREadFPmppAgmhKIwDOxv/X1bb4jyr3bIlNtLFcbxESS9THznwP4c+fjmwE8bSH9mcM1aSBBVA+6pacQZR1fs7nbXyGxHkSxGKWlrnnQCwdxZWOI47yauLmOC7aqpB9wUay4uSZJcI5tohZiSEygXC8QU2DWUGzg4DBlrMndLwF/IjlTzIoCNgWgup+SBF4RsKmResnEycB1Yt1cKyqmCMnSfNv0s4MFAAAgAElEQVRJEGOEOd9trxI/t+pKG0v/cIqAmr5xGW23/1t37MMHvn1T5VqLRU2tEqNicn6vIWVYNanj1TVtwiZSwTVUORTDa2jrjn3F63Bhn1FxOPskk9I5I85IbYIRy3oX/kjxXkKFx1jIM6mwQSBA1BoaqZuuXYoYr3wd//exFeVsbUackZrz/3HjXGqsCgJR6v2Q/w9xf2nVRXECT2chuZia4BUfuxhX3hZXjOWm7XvwnxEJ8IyKAkBUEBBQXfjagZtamwqYrA2ib0kFvs1dlSD8a8hNfBe6v1LFFBdTEKuaM3EeZa6p8KFvdPqhcZj9FEq10dRI3XQtLNzNNX4cvmfNzCBCbqeLMFKn4T4nCZVAENFLieghSzmYhcKOXgTC3N8oLdVRCYWp/Djg1oNou2DQntnyUAqtvVed9n2cetYPg1lGawGGDces3aPrphwa77hsEK6E5F9DabQE4X4Xk4BvepCgl0QaRCPjR2purlFGauR9+9va+ymGqBnEcu6HrpsKjgNYjJtrg+9998flGhr0IozURRzECiMQAH4XwBVEdAMRnZ4HqJ24VANrAtlIHVIPZK/7AX/3caEmQUzQSmUyYO7c6y8z6XLYcak2yjaalFQEF01YgrCNrf0eeZMR2nPRizBSV67jaTocpXmlwV7QzdV8V0Yx+zHiPI6lSLXhv7+EKKpGh23cR8CoXbNBhA7m/H8hGUROc9turrESxCi1VN1Rbq7V/8sNqpGamV8GAER0PICfyf9eR0THAriEmV+wFAOMwcjhQEMuilWReDKpNorNPTYvJhZeyTD1HXy5h4Aqh50R1oZurtESxGR2S915IcA1W3E3TQi87/5M8Nv0IMH+eb+BuGSM4r2YkoSK2g0hFZNdDjR06M8MsrY3b9+LXZ6CSG4G2dBBXq4N094P833rgXLW975U4swMUySvH+XmypX/yw1BGwQzb0XmknoFgCsB3ANgzXiH1QyuiinkomhHzE4qktqNgxhHTepYGAIRUjGl1qHRSyhYThHINqxhLnUJIj8EIq3PNCYrtakpAoRtEPYBmiR+CdDd/L6zwA5+C6mYitKksRJELvX0InJpFRJExFzbxBIA7t2jS6IP7HOIR+SJb9ZGrCqmsQ2igYrpI3lOLQn2XAwi3FztQNLlCJ8N4k+I6AtEdBGAtwGYAvCvAE5i5mcv1QBj4EoQMdxfadD2HwTjQi1QbpwcRKDr2LoRQ5ewxqiYONy/+Xjibq5srwv/fAxdCcLrwuu+19uaQj1TJpI6wiOosEFEB8pFGKm5jIMAgB/e/kCwbQzcFOqxEkHs2hiXV1CsymrEboxVnIS0EiWIVyDLlfRVAJ8C8B/MfAUzx9ciXCKMHAkiCzDytLfcGUNc2rhQEIiiHsSSD6GAmbeQOGynoogpZpOhPDw0htWVIEKbcVxG6loSx4BaxU7X4p2LJgRi3kgQvSKvkXZ4mPH1Iw9P470XY6Q2Hk/37cukgd/9yMVqWzuAMgRXaglJzq76MX6vNttQwWyukd2NUi4IdoyReiXbIB5DRJuQ2R5+AcCpRLQewA8AfI+ZT1uaIYZRxEFYGzYkmsfmbRoX3CjYtlVMTWheTJElIDtgjA99FkjmV1Fcf9fuXIJIAKS6ismoSiK9ccaB0tU2Kf5HJ+sLGKndteib5rlRxn8ZN1cgmw9J09PUPXiUZtKGkQy8keI5J1ykrvD0a++nENwDMyhBGOkysn/TvnUvpsh+DsyPigp/MW6upt/l6sXkjaRm5p0AvkhEXwXwFAA/B+B1AF4DYNkQiFocRMj7gyefrG/kHIptL5AmvRnmL1g/N7UdAfzz9i/n3oB/PvcGAMBBa7IayCEVU8kl+sdrnxUnHXOQv3EkCnVNsYb8BNNEGme/8ROTmu+/5/5MmdOpPNUGkEu8gtxUT7URkgCr8T8h19x+L87NdWi5/IawcC+muPYGTc1UsYQqhNncRRmIzea6PAmDgUogiOjFyKSHZwJ4PIBrAFwA4M0Avrcko4tETcXkObzSlMGMiaf7NkQtNo/OYhBS2Zi5CNkUhmmK6UG2ZEJG3Ku2lUF6YRtEMxXTOGDGkEQyDlWPp0CeKecr36FQJODrJZaLqV/yipUg3PQgPgNqmttYzEHrd3Mt563ye4Fo1CKpQ15MaXVtjIvTbpLu24cD86Miu+6glwSZroVKPEsFnwTxKmQE4S0ALmNmv5P8BFGrB0G6+mPkHEaTKhhkdLGDcUkQDfozcxESh20PjZCnmM1RhlRYtYMuJEFY3HRb0+amjA/lQRo5h63PXuEeLjHpsJOk9CDSptldyyHYCQb7Af34MC2zuQLhQDnXk2qYMqYEAuHaIGKf37hjZNqSIPbPp1gzZZiosARRGKmXab5vnw3iV5dyIItBbXMnhNmhYthLyw1ofjMZApH970f6sC8GwQPXqDICYQ22aq7fIxxQ5hio6oz7IU7YUTFNAk094YajeDWle9u+x2GeQY+oUHdp8+YGiIaN1CVRGwSCuIwEYJ6I1+nDcXP1jblmg/AM+rad+/C6T1wGIL62yUL3UVv7b//cEGtzt/FQwkdg+doeDFZFLqbUOfSThKAR7pq0EfEQf3TXrtaNyK4EEeIgYhLjLRbhMVTzD/m4I/vAKP3u/Sqm0pUxKEJEjxnIfO+D7oaCmjLE6dtG6iY2iNBhm12/HEuIQAyKgLbwYRRrQzISRMyqt93G3bFpYzbw9f+uL1+Ha+/cBcAKlBvTeRpac7H7f9/cCGunLCN1ZBzEcqUTq4JA1Lg/j1eJIQb9ykbRH+LVtz+A5//T+fi3825sc8gFpziIdHP9+Pe2Nuqflddi28jFWU2H7ff+SqyVVWQPDXHCDdMpxGDv7BBP/Muv46+/dK23XS1dS0CyrBTJCRy2TWwQtj2GQiomx/OqiQQRivK1XcFDkOIgtLXhfv6AJ+q6b1GdQo0WuMdxqWpie90/N8KaKUuCiCwY1BGIMcI1UvvUAzVOMXAQ3HF/Vmg+NjNqLAxRivVi+vo1d7d6fRtlsI6/3Sh1OVCdsEoqJm2ezXULf/7AeO2jKDRmE5h1zpV3eNtJ+bxCBY4Kl9iAvcIlCFH1BKz5DUWgx8ybcc6oEPiAkTo2QtstGGQ+k+Be8+wr71DHMbBSfYQM9nU0U1e2xUTZEkSMkXq52yCCBIKInklE3yCiHxPRzUR0CxHdvBSDi4WrNko8G9Y9CEKi9rjSOjStBtZkAX3tmrtwv5XSIOyhUf2vwbZB9JqomCK9mGKjZZs8EpM+JHSwuFJoKCvp0AoaDBET99K+M8MufnX9XVnOnxvu3q2OAYiLH3EN2lkywoCEFFEsyPTtGso1oiZJFm5+JoMpS4IojOWBsYzLBhG7/2aHI0zncRC9hILlZYu9tzzpQ5QE8VEA7wXwLABPBbAl/79s4FbW8hWRl6rPeVUlcZJtY7jJ+kKH+CVb74vu2xj2YhG7OIejUu0Qqihnc5SFlBRycy0SssXPdmjsb/n8VQCA+9wcQA5cNVdMIKCRIGLsFb73le+scTz/xCMAAIO+vE1d7y8fXOeMgSehpRs0GOzbWhd/9dITK9fTxmHD5J9yUfGEiywmNS5E75FKAGW43v1qMFI/wMxfYeZ7mHmH+Rv7yBqg4EAj1EZp4T0UJiZAya3ev28OZ195e0sjlgLlWuu6MUouJmCo42oqCp+KwmYozW+CyfoidekVN1d/U9z1wIFAi3wM+a1U6hr4OP3UTvfd1Aah9zu0Dv01uTeMJqnVvJg8s1FzzvC4KdtBgzHE2pYsBwFpUZQgFAJhIyk8uvztFrqN2ipcZKvbsrMlZHNq1v9SI6Ym9XlE9HcAzgIwaz5k5svHNqqGKFwDK6k25LZmU8RGlBpcfuv9uPzWK/GEow/CwzavX/yYTaBcYozUzZbIrgPz2DgzWPQ4AESzR3YG09C8NVMx5e0WWA3MB5tQ3bZzHx66aa3Yrl6V0J9AcZhyRQr1LSH3gPAm9rMO/VDdhkJNGUFYXQnJlyfIJtgxqddGzlzY16uNWWAqZhUCYT+7UsU0nqM0uAVi9whXCQRQT50u9rtMKUSMBPF0ZGqldwH4h/zv78c5qKaop9rwBWVl/22XWGZd/THV61XexxTJiYER7xeaf+itn7squm1w7Uf2U6mBECi0ZOukjTdK0AZB2aHQpCZ1bIUxAPixosu3x1Y4OgSlgpJrJo/XXNa2/lt1HBanb/rXJAhXKjj5n8/X+3Vtb544CDftSAiuZGlfTxuH+/sQYmM9xqWCYpTqZh/slPHFXERJEMuTQgQliOWW2luC5MOuLlCHmPSthyjlu3EfbuymCcE2GsYcii7ujFSdxCDW1c7mjrKKch4vJtsGEXloEGXKoyZTsW9uhKwOsLx7Y50MSo+g0q4AeFJGjNKKrtkbSb2QOAiiIGEtgi017lToN8bN1XWfDaGidw8ciia+wpY+tanbZ5XNtRMXanj+P32nSHPRFKE1l5o1FuHsUEqh/nUPlIRhuZoifLmYfpeZP0lEb5K+Z+b3LvSiRHQwgI8AOBEZcX4NgOsBnAngeABbAfwGM0dZZiUf9pAXU0nly0046NXbuyJxbFbJmDEToYhWbWqDaBJ1HOuhEVNPILbut01IQ6mazcdZllEKp/u2bv3WnfvwsQu24rXPOiHY1gfDpdsJHwGdcUi5gUusK0EEJBPTZ1m3QUkbY1ylIw5yyTlD0/2X6qgYr6Gq+2zPIqwShmkaFWEMAGddUdr8SmcR/Xc/ukuXEEMI2iA47DjLzJWU8YUE6HWXbjTMJYdvZa3L/29Q/haDfwbwVWZ+DIAnArgOwKkAzmXmRwI4N38fhWLxR8RBFMbhIq1z9nlsYE9bbq+GkwL8brkGm/Ki7QYN6EMQsdxLxQAX2OS2IbkoqxqoB5HQwmo9fOWHd3rGEYeao0PQ2JpWUm008WL64e0PYPcB2avKTrXRD0Sgu7Y3H1KrX/OboCt4L4mKjan0S/5DcTjiYj0YxCy/2Ey/Bo2zuQb63bl3LthnYUsrzhY/scx+Y5iz5QlfLqYP5v//os0LEtFByNKGvyrvfw7AHBG9BFndCQA4HcC3ALw1pk/X3c+3YUtpA/l/vxjv6n/byttkH7YJhVMauGuzidurr+/bdu7DNXdk6QxCm8QmaiEjtc2RDQLGVtNNjBpBvpYOW+KLMuK6nLBnHcXm85K6+LfzbsKpJz+m9nmZNqbkQLV4hZFFWA2Go7QSgey2NV8R6elo3EPfB1cyCRHWTFJ3CETEA6dibSz9UXrjPXvwn5fcFmxXP1vCEoTBck37PYlI6hMAbAdwGhFdQUQfIaJ1AA5nZsMK3gXgcOnHRHQKEV1KRJdu374dgJRqQ/cqcTlFo771cYo22nqQJhAJyI2cQcNsiyKDhb/5ynXF6xg9bJkmPauBoM2H/bE5sEJEm4yROjBmcsil75nEqgRrKhgKH3RVCULvW7pvLQq9aqQ2ld90FZNRyxmcdbnsil0riOSxe9mV6mLUjma85jeA/qyHKVcipGMxjjQssdh6796odm7A52qQICZBIPoAngzg35n5SQD2wlEncbZyxTlj5g8x8xZm3rJ582YAdSN1jIqpVJXkm1Dz6HAliJZWqJ22IsL2VVMpHbZ+Ov5ibY45Ur9qf1r6xmvDK5+Je/jHwHd3sXTVrTvgMzAyc1YDoYi7qfZRby9cL4J7D3GgozR3crA+O//Ge8W2rmeSL1bIeNjF5GIqVbZVCUJX2aaLUjGNi0D4+rXX0AtPOhIP37xObNdU3QZYXkzLlEJ4CQQRJUT0Gy1fcxuAbcxsitx+DhnBuJuIjsyveySAe2I7dA/9LMjJzx31HE4xlBBNe79Q2AQiqz0ckiCq75/7mIe0Mg4bvhEUh6JlgwDC+ZWAcFnVpiomdy78mztSglBUTNL9uYdiKBDwK1fXbSR66vPycDbzdv8+uRRLJtHFuf26zhk+qcetde1D4TZO7n5qYIOI2FJFGpYJ89qmTrgEKWU8EPBiWq6UIYeXQDBziqxgUGtg5rsA3EZEj84/ei6AawGcA+CV+WevBHB2bJ+GyS+5P32z1g8C04fc3k221ZbXQeYamLtUBvL+mDY2GqWj8H3H9uswp1NGzBrJKzwOkyoi9EyIAFDzQ8Bvg4hrV2MyPO6aBTfei9O7v/9bN9XH3ECCeNeXf6S27SdJhUAcdfAasW09X5l+iBv1V5KE9X3uoRjj0hybBNCG0Uq1xJ/V4Ftz1YA9D3EXNBlAiECY67ePD3z7Jpx5ya2L6iMmkvp/iOiPkbmgFsq4vF71QvGHAD5FRFMAbgbwamTE6jNE9FoAPwEQLbnYhj0gID47YmAS4Hj+9L+urv6+JYpvZ8skRNggnPdLzXgUEegOdxRTp8KomFR1lB0TAjTfLZ7JiFUxNZEsa6qEgN5dQtANOyGxIpvbNvP8KtsdddCMt984LyYUbUN3NLSJCcLEcj5lwYgenreYynaLgVcKtebXx8xpUqhfxTQ+HdO7v5IxFr/51GMX3EcMgfjN/P/vW58xgIct9KLMfCWy6GwXz11If7VMnJ7F7xYXiqHylWu1xMLYwUUxNghXVTKObeLr01UllJ5J2q/Kz/uxKqaEGrsnhnDSMQfj6tt3BdvV42PyzyUDs0JMmqyNkIqplxDWT2fb89efcow65p7jG6zbK6rrnjzBfS4z4IOU2wzwSYspphZgpC68mBr/sl34HEpcR4d+RBoddv4vNwSN1Mx8gvC3YOIwDjRJk6DqCSMpeFvZF+3qXlm6j2Y2iLFkgfR0Wc9V5HcPlmwQoWdSBkP50YRYHnNIqXJ5/Scvw7V3yMRCShkPyERtNHLaNvTR97UdOfEKRx+8xmsrcKOdNQLh1o7wpfJOrfiK0LqUarxn96HbIFwJImYplxXl4iZ5++7ZcCN7DL4vKyqmiHlzmAxfWvzYWiyTQkw9iLVE9GdE9KH8/SOJ6EXjH1o85DgIeTENFTFQ81ZxMQ4JIsYGUeOsGwyjjcXnEuFQlG+VQPhVMObzLNVG+FDyXcv33ShlvOBf5HxF7sHsNVI7h23Ii0kel38uzLk/1ddTmoxGWVoHe2loKr+hI0EkFHbtjjNSOxJ5A/dgg5hZG78XU1zHPhuEO2+9GAliTPdz6459rfQT4+Z6GoA5AD+Tv78dwF+3cvWWUONiSOfoau6MngUtJhZriUDYgXJxNoilUDF5OB3HcycU5VsNlAtJG+UziVEx1Wnl4mejVMFk732SpZurqKkUCoS95ipp1T0xE3ZpUkBPJumue68a1lGV+OCW8A1KEGndiykGiWdPjxv2LPiyHriJQENZGgDbSN3ujd10755W+ol5Ug9n5vcAmAcAZt6HhWVEGBvqdoXsc9+hX/NW8XCKoc8k/OC2+1V1BpBxG2WgXNgY6O7VJiqm2MXn61KTvGKy2/YD9grXvtGUq/JLEM1Uh33Lsywbm08KRbBt6HoupLxiemZiRq9XZR1i4398ruB2Aa5HH7HRex+ubSMmm6ubXFB7RJs3lLE+oXTfizVe+35tE2DyGakbqmGB8amY2soZF0Mg5ohoDfI5JKKHw6oLsRzgFk331a+tR1LrbWOlCgkv+bcLVHWG6cd2OQwt8LYeuIvYhelylWGpoHxd1LwI6Mcpt7c23Su+e4g9s91D3xcI6EYlxyRlc6G1zLKGloeSL+jTROPbS0OrgVzLVxZx0CVE+LUnH+29j8J246rmPASwrmIKr6HYmiILhd+LqYRvr0q2UPtz33XbJhAxaVJiEEMg3gHgqwAeSkSfQpZIr9XYiMXCRJQa+A/97L/hYmIComy0ZRy2OSmiiPgK53k3GUZsW18zzbVTU3/YfRkbhF5RLvtvH4w+1ALlPG2jCaCzucmzhlxi0tQTzr6eCzta3fTtM+5n2YDL9mrtiFpRLc/zsPZI6Hm4+YeSwKGY1dFormJ6yMZMmtAqBC7eNhj3e5+9UKraB+h7xP5N25qzBYSaiIipB/F1IroMwDOQHVNvZGY5nn9CMDlpDHwbtvDbtnSxQBMJYvHjzcZRps7OkvU1kyDG4cXk69JVJYSK2VS4v4Cbq9keC1cxeTi0yK2nJuvzxUG4Nog2VExcrT+RJHpSvdQhJr4xuK6rvuh9d4/4oM2FT4XWi1Qx2diQu/xq1eeWqrazz0jtRtiXtdj1/szjaju+I8Z+FNVPqAERfRLArwK4iZm/uNyIA5BLEPam8gQ5uVTed9AtRsUUgl2RLMqLyXnfZBRtejGVi98fSW0fzAn5s79WJAiED/UmSz/23usp46ufV9qq0pR+sec9tpoaReVCXQmCPGkrcjVlRcWkcDCSG6+PywfivJhqGUwLCUJub6/7MMrxTfezYi2hGhYLhVfFRPZrTxofRwo1/30SxLgiIJbSBvFRAEcCeB8R3UxEnyeiN7Zy9ZaQMldEKr8HSt7GeYixBum2OJXhiK2gpQgvpsVQiEj4DmYtpUJMJHVClHPC/gMpMRQigFochGcuYqep5irtUZW43LgvIIodwlNcT+XeqweoT8VkPOHsnjWJTnLj1c7UoRPn4UONsBZcs0eCcG0Qyjjsz6cH2RxrBKKJ/Ue8VmQ7by6mVN4j/loh0UNshLZMljEqpvOI6DsAngrg2QBeD+DxyIr+LAu4i8689Lmp9hwbhE+VEPpsIUi5dPeLiaReChWTD7Wyrh7C6iKh3CgaMGgXgXKNpSkfhYhUMSn6Y9HRQYkelg5n8/NYu8ncMMWUVTYz8UQ8F84ZVt/hSOpyPCGnAXNfv/bkY3DRzTvktoLXVWgc0UZq67UpJTqnSUhj9H+1p9+rYtJsEBMIlGurvxgV07kALkCWcuN6AE/NK8EtGzTxYioMjA1UCTZakyDSZtlcXYyDPnhtENoBqgkQlU1FOScsNy3nlLD7wBAf/97W+EFDH/cd9+/HaRfE9aUddHEShN7W3Nu6qSovpj3v+VE1HXYv8as03BTpelGm+v35pJhK28Qf12C3TTz7KRtHaa8IwZ6joIppsW6ukVKoNwuuZsfy2cjYXKPdDW3StCwWMU/qKmSBcicCOAnAibnb67JBahl8gUDwW+Gumb33+bBLe83HDTSBm+47xAC5EsRhG6bEdiZBlw1/Lhi2XutomgW3sqlyAhEirrGq6Vjx+fdOvxS7Z4dRbV3GoWAyPIe+m/pcOpzNrx/m1BDQDtx798xV7Ag9j+3GeDzZ86GrmKp2BZ/KTzrodI8nh+EKxISIEkTElgpJEIu3QfgO8fI7nzrYtU1F1aQelwTREsGJycX0R8z8c8gM1TuQRVbf38rVW0JNxeTj6BQDo49TfPUzjy+v1aabq7FBICyZ2EzXYeun1AX1gW/XU0trnh9N0DQLrr2pksQfEWyn2jA4MD+KHps2c3siiQPgCfiSpNBR9bCNkSBcu4kmTX3zR/dgx96y/oM/6yrXvFXUtByCijDICdttPa62Zpz2f59rboxtA3BUTLkNYn5MRurYcTSxQYQy29Y6bxFLqWL6AyI6E8AVAF4C4GMATm7n8u1gxLIEIU1Sk5S8ZmM+6dhDcOHbnlP5/aLHbEk9RBEJ6iw1gi+aU8Js7GHrWVXavMXMR0KUe834L2ufG/fvm48YcAbtAHUjdmP6iDFS1z2e9DWk2iA8c33w2kHx2htJnXsE2V3HR1L7uXy7rc8DTTsUfdmUXQli1wH5WdtdmLoXY5MgPN8NEtsm5A8CBOJUjwaroeToDID3AngMMz+Pmf+Cmb855nE1gp3XCPBzf1owizeoLqEFpXT2wQ6Ui7FB2HsqoWZ+0+si9ZG+Hl21SshIXVcx+Yyi2X/7qNM4YdMyBoMGAVlasj6fkdr1YpITPpoROxKEMm8Hrx3gxU88qnifeLyYSjdXa94CnL5N1GLTfSQBO4jdNqRWGXE9m+ufOTVXDOxrJpRV2GtCICRpWoNvO62Z6lXGEZvuu3Rz9REIc/12ScSSSRDM/PcADgB4fS5NPLGdS7eHESNaxVQzwEUYI40OHWg3kroi7gcjqa3783CVEo5Qisg0gXqABjyTgHz+PN44ZnPYXHYjtZgyFQsp4FMk6/PE0tRz7ngkiCII0OnDc+C60rCPG09qNgi/l09Zg0TPeOxmq/U9O833XyaWDOZ6fMW9e+TMPfZ9EwHTvaSRkVqyxy0WlKuYxHlzVY8Bl1+gXB9tSxBLZoMgojcA+BSAh+R/nySiP2zl6i0h2yjl+5j8SjGR1DanGOOy1gQjtmwQHsOXgb2lYozaNmLPSa8XkyY+R0kQmSE3lLcpJuDLbedey0YTAuHq3c01RCnUWUOlKqE+5lS4N9/Yag4XHgnCrCG7ax/nbvoD4tSwtj0mFFRX927T915sHIQ791N9nUAs1s3Vf6Dakkz+iTRvrpTWQIJom0K0JUHE6B5+D8DTmXkvABDR3wK4EMD72hnC4pG6NghPNtcm7ow2J9W2BFENlGuWzTVJmomk8dlc9XZNDXBVzw/y6tJLLjtWxRQ37iaPSstWG3PQ+eMg6vcGAPNDXd1ma2B8bpVmDS1EgkgsApi46i/B4ylUnrTv7qcIyaQYm0osy9dGxaSti8UGysWG0tjMpztvtbMlys21bdkh77elfmKUtATAtnKOsMzSfdcD5cKHflRhGKvebkw6haZjtgvONFkoPj1oU8R2U1OrNLDJJOR3q5S4bK8E4bxvQ4IwUii568Jz0BUShKc2hjY9mnnEzcXUD3h/Zc+hbK+tT9WN1ydlW9JiKMeTW5Pa5zZey8Uk9lydeyK/BDFOI3VFGvZ5tzmE1dimfFqHMg6iXbRFeGIkiNMAXExE/5W/fymy9BvLBnUJwqc2qovPgEYg8v5yLxyt3UJgl4vMVEz+9lWVzZhUTJ7vXLVKyIvJ/rSXEPoeQ2fpxVQ+wzmFw/b9vjbmBnNUC7b0PG+XU/QaZgviVz0U107JW8/NxeSzT0lpK0JxEK4B1ZdBwAcRzP8AACAASURBVM0Vxsy1+3DTfZvftSFB2HNfEIhArqlxoCJBRLg0l8QSalv3N60bqVvqJybVxnuJ6FsAnpV/9GpmvqKl67eCTCyPlyBiPZ7siNkYl7UmyDZ3Od4mCyTGZmFjHDaIkDtjJQ4iJ7Chesn2sdHMBuHvNwaS7l/ro+77r3sxlRJr9fONM/LWq6/PgEHbVTHFRlIn1c9tDD3MgOs6PHI8uoBsbUjP2rX/lWOrj9fdD4Tci0lhHBadi8mrYiq/LEvtelSPhW0qXxc+FZPzvy2M3QZBRDPI8i49AsAPAbyfmeMjj5YQI8dI7S8YhBqHBgREYkvF1Kqba76Abtm+F1dte8Db3vUKarIAfDaI2Khk3ftLbm+fU0T+lBFctLMliCY2iGafS0jdg9lzf+5B55MgJMPs8YeuVWImMi+fmpHa41ZZM1JHJuvzuSlruvQRc+3AcCVycw15P5X9PvGYg7Bj7xy23bdf9ghyfp+EJIixGqlLmDQokq1HTTvisdMVKqbWBaB2OvTZIE4HsAUZcTgZwN+3csUcRNQjoiuI6Iv5+xOI6GIiupGIziQiOZeEgNTR24ZqUtuHolfFZHFdRORN1NUUtjujSQfhd4fL8AfPfkQWrNNgQ/i5o/o1JNQCyYI5d6oShC/YSnJz1Q4CQKjPraqY4udolFYPZnN/vlQbdYO95MUkHKCKTl8iJr4o5jQfczUOwi9BuClmWEon49orYlx+a55XnrYJ4ew/eBZe8lNZvIfPI8igdHOVgz6XKpLaEAhJgqirHuOrLraNtvr2EYjHMfPvMvMHAbwMwM+1c8kCbwRwnfX+bwH8IzM/AsB9AF4b25HJSWPgo9yu3rb0upD6rSZl8+XFaYphmtbF9cBJ/vOP2ow//uVHNzZSx7aM8mJyXPhCwW9ANm8+TxjJBrHTSjexUDSNg0gkxkHkbvM2DSQIW+/eTxK5LdcJhFeCyNWU9ioaKRJEmR7E1NyuXtOGKXtaq/HuNWiXn2mMVK1qH3y2QvcTwqBPag30xediivvO7FlJBeo+PzPHes0U+3W71KKt3nwEooh/b1u1RETHAHghgI/k7wnAcwB8Lm9yOjJjeBRUCUKzQURyipJY3lZa4dQpcpRdzy9BmGE3NVK3sVpqCeoaubn6PWEkG0STPEoaGhmpNcbBoyopguoiXGJt4tdXYkLMoViRZDzuwcZeUfH+8rTN+nPGrBz6VYlA54QlI7UqISkHqDRid1wJAVMNA+WawPdr+/AeFIkZwxIgkcliHDasty1NjN0GAeCJRLQrf00A1uTvCQAz88ZFXPefkNW13pC/PxTA/RYh2gZArJZORKcAOAUAjj32WAC5qG2ROm+qjdR1I9QrozXJSdMUwzSNLhcJZA/ctG4zDiK2F5cTDhEIV8XkM1JLEoSvEFFs0FmTOVpIynizdpraILR15LoSm7a6iqlqWAf8cRC2Gy/5mCjHGG1exqrFepqE5EihZgxxKiYaq5urF7YEkeg2CPf+AF3dBoybQLTToSpBMHOPmTfmfxuYuW+9XjBxIKIXAbiHmS9byO+Z+UPMvIWZt2zevBmAvrljvJgSjzeH5LnTxkJk5prnlRmb+huULoaNVUyRTX3tVM8W1QZRvi7SfYeIiTUdbRDiJl1oKeM1KRSoSxBi2VpFbeQ7YFwjtS86upe49SD8be1+AXmOhjUJwrOfJCO1knerkJAKDlscat7WIRCAN1Bu8SqmOCZqUKiYPOdFr7qONAlirDaIlvppp6pEMzwTwIuJ6AXIEgFuRFad7mAi6udSxDEAbo/tUMpfA+heTE1rRxiOru/RozeBlnJA0x8DVQmiaTbXNhZLk5KcQHXujRdTSA1gT4cvuKjm5qo0bZpqQ3SVFrpwU8b73BldvTuQe3QJbaWoa38Us5SLKU7a8NkganPh9QoUuGbyx0H0HEO5BHddmTgILUdXE683CbErpdQ4xEkQfY8E0UYafg1LYaQeC5j5bcx8DDMfD+C3AHyTmX8HwHnIjOEA8EoAZzfoU45tEOa/lrfJwx2Vh2JStG2Ds5W4SvtzDaUNoj1vKnsETWpSh5L12WDW9dKAZYOI8MYR+9fiICLsIwZuyni/bUqei1C6FoNMmqqPS1TXeGwQbhZjQI+D0AigrmKyqtr5mCglDiLGHpPo9KHGABlPOG0ufF5vi4VspI6TFhOPDeKl/3aBdY12xQl7T8wqnl8xWHIC4cFbAbyJiG5EZpOIjtaubW7vgq5uFMo5sLjypO0YqVUJImCDMIhRMT3cqmAWKz77uqxFUnv86IHqfJqUECF3v2gJItLNVftcYwZiAyg1g700ZvNZzc3Vw2En7mHLOlFzjdS+VBsigVDWvSvFaPdXEvfyM+3+XPdgNypbamvDJ4Uumhv3rH1z2D7ssHXeOAhXygb0qHIAuOXevTGXXxisDh/YH19bxcVECQQzf4uZX5S/vpmZn8bMj2DmX2dmOQewANeHPRQF64q22uFV81bxGFqbwM3ZUowt4MVk+P2EwjpXVl4vFFICN8Dj5mrtHxOEpksQ2X/74Pfen6tiUpppn0td11LGB5gMwPZuM33EqWA0z6QiMFNUlwr3kRrOutzGzLq3kWx7k/qtFvW5altWQPJzl2+rtdUNs+F5i3GrNggFW0YXxVLgdeTIv3rPy07yxkG4DCUQb7ds3Uhtvfap8kJYThLEgpFxf+V7s7Y1X2yXcw+55RW+4y1JEBKnAYQkCK64uYYWlD3OaCO157vCSB3BCQN1Dw0fgTCb017HvsPDXe5NbRDaupBUjz4jtc0J9xVVguzlI0uAkheTLzNxJkGUhlMDyZA7dA59HwF0pY3b79sPALjsJzvrY2igFnMN2r51WY+kJi+Dtmd2kQTCK0FkILJUTFJQpLBH+glFlQhoPQ7C0TgsFKuDQDTyYqofzNrhVR6K2XufuNgEbkh+MbYA8TGtYwjE1h37itda01HK+Ma1d5ftfComyRuHwmVEAeAxR2zwZnMtnJhsAqEPpQZt/TchEHoApUeydDhFX9laN07HK7EK6h1fvMLAqdAmupiOuCJpJB4ufpSmlbn4kxc8FgDw3MccXh9zzrhQhAThSlO+Z+zerwnc0xi0PbMLV6OEUM4RFVUKNY81VysQ45wxDtgEZ+HkYZUQiBFXs0z6vZi4ZhzTvC5cbxXtEPDh5u179H5rBka/mFtIEElDI7XS9vwbtkd34QYNAuYgCAcBHbp+OpDNtX4wNrm/7bu1imRye1GtUjNS+4y42f+artljg+g7DExsTIEWY2Fzq9P96jaWxjHvHPo+G4srbTxkg16RsEw5XkKzkWm2N7nf6nuCvyrhOJP1FWOwJAgtF1MSyXwu5PpNYPe3mK5XBYFwUySHvZicBa0cXlJAVFMV08n/fL7ar7uxvIVFwIWOvq1UG+7C9Ym5bi4fID4ICPDbb8zH9nPx3Z7PuGlDU1Np3G3NNhUyJkcYZt3aEQDUMqKiF4yiCrJzILkShKT+GI64oooq1LDSHnG9Aj31LkYpog9FV5pqpmIKqCkXecD6fm5/V8RBaI4O0hqKIRAxg2wAu7/FeEitCgKhRsFGeDEBHq8LR8XkiwbWIHlXaJxUqLCIWXtN4yA0YuIeiDEbtqqm8KlxnGt5iOt7v/FjAJkofNj66Wws+lCiEZMGxG5bWxeKCs2NSgb0VCKpIG30Evn5aTET9nf2eIFsXgeOBCGqP9Kq66rXi2nEUVKM+b14KAr3J0mhGmrjMiombb21YBtUYVSgCEVS1x1PfN57lUu0LkGUHS5malYFgUhdLyaf/ljgFBPlIHCN1ON2c/VLEAuPg9BCCtx9+ndfu17to4ykLj/zc3TVz2PSlBAB333rs3HI2kEjIzWgRO4qXWi2KYkT1jh9icmITZ9BFGf8tl+7a9m2CblGaikWYn6UikbqKHtMIZHLzI5s0/NEiudzMdXXj5+aFxP8cRCL3ZZ+V/DsOyKyVEzSvKULVjG1LUNUJIhF9L06CAS79SCy/zFxEACCHijLx0idtddUFDY2zvRx0duei1963OFq21hVDSBzzX4vpup7H/dnj2dm0MNUP2nMUTUJrNO4d7eoT0/xQJHUlBrz4AZbmrayxJr9r6xlJaDNdhkdJGEJYpg6+ZUK43etac3YahguLb+SaNOLMFK/+pnHAwB+c8tD1bYGU72kUtku1L4pvComS4Io3Fyl80JhHMaaJ0oDK68bYlUQCM0DReb+NJ2p3K/dX1u5mFJHMjHwG6nL74j0MpQGo5RxxEEzXo+nCFth2Z+w+H3ZbV2uxcf9uSD4iYlE13x9H3VQ1cgaq2LSJDWZyZAT1En2ptABKqmYahKEldfIXc+6BFGuN3OJGCYqSUiNvXHtFVl7WWp1JeeZQQ+b1k2JkoT7+0HfX7Sr7Ujkat/ZfyJL3SZKEHWmL0ZyfuimNWOIg+hUTAXcdN++YuHMdU5R8wpyF3STQ84HMy7HthhUMRndSoyKyU4o14bUo3HNehqI6vsm9puEmutkvcTVea8Zk9376/cSOeeOpnf3eCZV6iUo0oYWU2B/596Du5YBndO3VVGGExbdu0fxBLCJTU+MFA8Y7O3x+qPby9c+1ZWGKC8mlPYesR6EkKFZU1MCwCMfsh7HHLIGP/+ozWMtOdqpmNiNXjSfayJxnCHJiM92FtV2sozW1Q6A30gNbhYHYdcWiDUk++C6Ppq+YwLlgGb2m5ARXhJ8YoKRyrEJn4kShMdIHWmDsG0Fb3/R47BuqhdMZucGIwICgVDUlICe8kMyPGuFb2JVJbpNz6Nuq0SV+5kze7wxle3c/uMRx2AYdZ6czVWOsdLWJgM46ZiDQGhWkz4GdncPegnC1YN6k6cJm1sL4pJSJLdhpC5tENXPw0Zqo+oKSxCG8/URk0b1EpRDUY9tqL5vYr8has71eOeOgc+87qfxhuc8ImurGIgl9UBsW20ubDXla551Aq75y+fnqkrhHiR1lLKWpQA8A+nQn0/Tijtsv+fjhLmm/tQignWbXpyElCjq0nqgHMFX2c5eyzFxFvXf+77jfAz+OAhJ3eaz02XZEShf7+3C7u9B7+bqcnTeguySekDRpUsJ3NpQ15SlTJvZIMxIyMO5G5iufOqoJrciLX6fftVc89mPzmp2NLHfEKHxjgkR7qedsAnHH7auMjb395IKTVar1F2Es7nQa1JX11GcShPQI6mlHEgGmirIlgAHHm8cMeCrpzly1OciGAcRIUFIz9Nb2c4amj302MPxlh171e/sHgrJS7E3NTFSM2dzsRB5JwT7vhdzZK0KAuHqhL15dBo8RKlwSlMbhMTMGObDVdn4DrlMgsjHEaFi+vffeXJ+fX89gViM0jph9fqlM+PkE4/Ah1+xpRhz7PVCgYCS91VM16VrZ/07VSoQD/K0Jv1papXS3hQ2UmtBddk13THoEoR06M+PuMKQ+OoauMn6zDg0FVoizIU0b3P5uKb6VQLoU7f9za8+AZ//f386H0P+nYf4AKjEe8Qu8fd8VXfxto3UJu+Wls215tGVJB7X3JLpa99Ibb1+sBOIWuSnsqkAnxdTWB0Vo/t3ISXKstU/1c/9apLSBhFWMT3iIesB+D2emthTRPHZc+gzZxvVbFYTHCZxdE87fhMOWz9VvF+AABEl2fk9d2ROWJMgaiqYnj8OIqYIkHlOVXdUecxSllgD6dAfjlLHSG1sEIvjhCXGQWW48g3p5oSSHp25hYdvXo+nHLep6Ndcs9aes+f7npedhDWDXmV8i0euYsp3oPqsBdVcjzwBm0Bh4xyvDeJBr2KqcpVFsj5FVyn5u2uVtarBRc0nWyIQ7kHwrl95QnE9H5qUHC2kjQTYr6RCbnIvkmeLpks3fcfahaYHCR66aW3Zb8BILfrBe6WvKhcv/Z5Z4v4U1aPANatqFVXvLh3MqdjWXNOGq4665E+fhzNe87Ssn4hI6oHXBlH3xlHtChxv0yvyUvXCe0oKMPQlLmRmHHPIGvyGE1Pht03FrX9bggAyQ7WWMbfOfMreX2ZsRdLEqJE0AQuvmmNVEAiT9tiGL5oz1uvCVTs0TXGR/aj+kStBPOW4Q4qxaahkZ4yIgzD49o+3Y+feOVx9+wPCOBqomARvFU2XDuQcXaWtj2g7hJT0zXvdnbvw31feIVzPL30BftuUlmpDKy3Z5AAF6tHR2hhMX3Zb+zsD10i9ecM0Dlk7JbYFciO17cXkjQjmSl1lwNggZAIozYVEAE1wmW0sNwWRXEjShq+yneRNBfjX+Gcvrde38MF03+8pAZTCOeTL35amAGhhNrcQOgnCgi7mym1jUyq4RuqE2sn5UgbKUXF9QC8XCdRVTGHuJ2t9964s0+kP8qIvNrRMrOKYlQNUF5+dOuGFXUjo29LFmpFrt/elq+6svDeZTBvZIBQ3SZETjm2r6egbeO5IEfbl2nAliPx7YY7FgD1HAvRGBAs2iEZxEMpczA8FAqFIU/OStBFQMUkEYs+BYe0zgxuFTMsS3Kv1e7IEkc2Fo2JSnBcMMiN1+2bqzgaRo3RBqy9SLd235MUUa6RuSo2lR+8aLs0h5yu8zlx2pqlgqtHW4bE1KeMr1dHQdOnMjLlhKqZglzaLK0EkRKqbq31ff/bCx+I9Lzspvxef9GX6zf6rzIAoFcjGyFrbnj8jcHUd6VJMdt1qWg5pzKWKqToG+zt3HLaKyRcR7K57M47oOAiFay6yI0eomIaCtOHPkFAW1LL3ga9OhMtk3bP7gNIu+28O8oHXHlP9zNjeJBg17MW37MDu2aF3/zdF9dYexBKEFjDkNapJEkREQBRF6P4XMuaZ3Kh2ILBAinTfgQMma1uFNGyJC9LQRIL4+Pe24u5ds7h/31zxWZlhV+jb2txAHgcRMc2/97MP89oVDFwVU2wCvkyXXu9PXkM6h236Ktp6GJKsrzphVVVMDmHN+gkbqUNxELJLc2SyPsUN20gFA8dIrWWUNdctx6xLSLwAFZN72V1K7Wa34qGmbtPOFk2CMMT1mjt2AQC23bdPbLcQ2AzW9XfFSUoSVj6BEHS8ADy5Y2QvJi2lgpsBsw1ngzJLbNb3mqmcQMzpZRPrJUd1fTcArJvuB8dxoEEd36GSRkDagGddfjsA4I4HSo6sTBktSxB21z4j/D5njnx2BQMjofkS1LkZgc2YVSN1TQr1u1+KsQ01tZHRu8e0rffbL+4vrGKa8tRWzgzasRJEfT9pqjljV6jWpVDaCtKUlrgw+6wkpva3MZKlgeuBVLQrJIiyneaxFst8AqXn1ThgL4Hf/4/LF9zPiicQdkoJG6pdQfBi0jhF1ythIV5M0gJwuUpzgM0OPQQC1VQb2iEHAL/8+MNx+EYnQZ3Q51984Vrf0J0xy4RV2qyuNxAQ8CxD/cCNnWatoI49LjO/fjdXwdHBZ6SOliCy/1J2VHcuxJgJZd58aTk0tVE1ktq0jXPk0IIipf2kOS8YaaVKLGXprzBSCxlotQDYUsVUvRcN91kSLqBLG+bTkkHzrSHJHiNTiIwxKtvPNdH5BtACHwtgAgSCiB5KROcR0bVEdA0RvTH/fBMRfYOIbsj/HxLTXylqVz/Xfdhl7k+NpHZE+BZs1DVvFfM/ZIOwF6hPb7sl9xuPxflveXawjeShoXnjSIFshf7YucXZ4QiXbL0PN28vI1l98+weaIlwKADVQ8TEhPjUUU24PymWRk3LIcS8aMbWYl04HLbUVkrL4bdBVOtBhCKCxdrKkYdiP0lEwjOfZgkD7fVx9e27cO6P7hHb2vcE6HMB6EZqn4rJSLrFNYMHtNmvShJH6WxR1FFA6Vr9jv/1uGysDfKJhdBWXMUkJIghgDcz8+MAPAPA7xPR4wCcCuBcZn4kgHPz90HoKiY9fUaTQLmqm+sCJAjBTF0W36G8X8JUP8GsZ4HaJUdJvbfsvxRd62PJ7RgEDWIktTIO6fKaiunKWzPvqrt2leqo7DLyeN0NH0pm96RjD8Z7f/OnivFKbQFfqg3NSF39rNfTpI3qOO3X7iPxeTGF4iDs1+4cMTPmR1UjdSgi2PXGyQ79OIZLI/BDJ+W4D4U6SjLYC9uEhdiUrG38flWT6nF9zYm5tFjy/vIVOcr29NGHrM2vEz3UJUNYUd0ymPlOAHfmr3cT0XUAjgbwEgC/kDc7HcC3ALw11J9UphHw+6U3KbLuuifGPMQQ9U4F7mhumOIHt9VdUW1UbRD1730poCU88ZiDcMi6qXBD6AY4SYKQODnNSC0RM58E4T7TUCDZyScegfW5PcYXrKdmMJXmuYHBXqpfbV7X1EaC3l3zNvKl5XDnwgyrdngpEcFucSHA78Xk1sTuJUoshlMX2wcpqM6XrG8hcRC18QXcvu04CMm7TQwmVVx+gTKSupCCWwyGaIvYTNQGQUTHA3gSgIsBHJ4TDwC4C8Dhym9OIaJLiejS7du3F4tf9kCRdcI19YDmlcAugYiTIOwmm4QDWHJ9BICLbt6p9jlKHR2ox4tJymYpjXpuVN/cf3Tmlbg296pw+5YWv8RJFdGh1hjN4eSOW5I2Mi8meZ6fdOzB1d8rHLYrpQFWgrpY1WOiBFsKh5Gqo0/rlfg0SUbU0WuHviCZaHVQ5gV9PpC5kEpqTdEGoUpIspur7MWU1tZbeT/OmCU31yJZn5QUsZzjSrGcJgRCUfG6RmpNfS0RKX+gXJbN1ZcjzODSrTtx9y7ZDVccc0vEZmIEgojWA/g8gP+fmSsnEmeng3iHzPwhZt7CzFs2b95cGnwFG4TmgRKbaE2SIKIIhPV67VSv9r3vINcwSkvx3GeABxQVk4B5x/URAP7ritvxh5+uez2okdTCvJlm9iYq9e6p07Y+ViJSl/faqarQ21M2VyGlVVQw/gR1sQRQdPnVbBAs5OcJeCbJkdT1frPvrX4VG4R5Dm5p0oGnIFK0DUKwx2jZkYejumRi4HLvIyXJISDH79ipXexLN5EgdE4/+9ysVV86c0nyUvtlkwAwe3/NHQ/gM5feJrZ92QcuxAv++fyo+zB9t4ElVzEBABENkBGHTzHzWfnHdxPRkcx8JxEdCaBuuRKgHYqZL7bcXgwC0lRMVtvYVBs296stJEB3q5Ngi/3aOKQDphxTvb2Po3ORplyr1BVSMdlETNvcklqAoHNTLmEs1DXKoSi5gUqunZmRs/qZWqtcUEdp6pqMS6x+pnnjyDYIiG0l1Wpp53EIj3DYmvautMHMnjgI+f7cM1+r/TGf6jaI+RHD9syeF9ayr9Z8Ja+Rvf88J+XMIMGB+fL5al5EsRKEJoWq6faRR1Lnv/nT/7oaAGr5pAx27J0TP/eNebGYhBcTAfgogOuY+b3WV+cAeGX++pUAzo7pr+DGJTFXEYmlqGvtIK+5uUZQCLuJTxUk7RVNtTIclVxdoqhgRsKh4et3KKiYNGg1qaV5Kyr6Wd9p+n9pXD4Vk/uxpmKSqvb5ymxK6TN8Cfgkw6zqBirMm+mnMgbD6TupKHxtY9RRpbqmrmJyiWUbgadJktnIamqjUZ3JKL5z1DuZQbvq8eSLpLbjIO7dUx6kI49n0BGOK3jIi8gMRZemmtdMsW0QGhaS3qcl+jARFdMzAbwcwHOI6Mr87wUA3g3gF4noBgDPy98H4ZUgNI5HWNBa7Qg3UG7H3jncHMjhYi9gn+FS4qYk7rYYS35waEZcTdecjanefq6BBKFxlSKBENQ+IW8j9/caB1SXIMwBWm0nVe0zY5DcGaX0GVqaBOkgmOonog47k0zq/Zp+pDHbXavzJhipNYN2afCVUpQ7qh3FK7Cp3t2+n3IcqSjdAvVnohnKAV2CEGOOGrDSWhyS24Uval6Kj2H2jZlq8+cyRwuJj1ixbq7M/F1mJmY+iZl/Kv/7MjPvYObnMvMjmfl5zKxbbC1ogXK+RGuxqQGkkqMA8Jx/+HbgHq0+PCommz782pOPASAvhrMu34Y5a3NpxnIp+tRAC1yK9SoR3Vw9LnzuNTVVibTRCLqRzW1u+q15MRVqFVuCkA9QM67YNAlS7YiZQQ8HhANGOri09BmjtM41a5HiYhLAJCtf6UrOUhpxwEgQDoFQ1JRa4RvpUDRMhzt3rqutDXfdz4/Sms3En8ZflpybRFJrif1Mu6IehIehdPfIlCfPWmZYrwfTzjpt3fcxWMkSRKuQjHVA/hAVUTSamDiLX+JQJNiHmxi0NKof5I87aqPY/u5dB/Cmz/wAQLnBKeewXS7BbHb70H/04RsAyJtnfihLEJLh2FW3AVATIpqP7K+0cpGaBKGnJ6i2J+UAddOZZGPQ1VzSAePL0eVO20y/h/kRC33L6y3rp9qHVKjHcNE1FZPC6UsqDbPeXGagn1BNYpXsIGW/ikeXQiDcQ3GYppjSjNSC1ONKEEUqEU2SEU4zL4Fwvtp1QMnFlDe0VUyxEoSPQCBfG26slEssfRkWVDjDk9L9x2DlEwhF765xt1LtCM0Ymen96/rgECo2CI+KyV5LfeXwsvMlTfd7lXG4XUuE54MvfwoAYCDofrPI1kgjtWbcVzar/R/QuWZRP0u6BFELWhIMk9l18ghma5LNvb7l81c5bRW1CsmH4lAwtk4P5HQpbuGk7Drld5VxjORSn9k1ZcIquubWpDST40nwYnIOI0kyMe9VYhnJNc+PUlWCkFRMbrBeoswFoMdB+CWI6ne7AxKEgZrlV5BCfWl0NBuEO2+z880lCHcNvOh9323cB7AKCAQrnFRPUcM0Oejc9AQhY5J9DYMde+cEMT5Fz1UlFHpbWeQH7KRz9evYv7U5rw0zmWuIe4Bm0bUyRyfd5iitF5HR0n0b194XPOFIq239frL39cWfGeGFQaBOFM2hsH/Onbfsv5RewoWqd+9pEbN1m9dM/mwOOJtZTIetSD2SBBE2wgvqUocbnxsaCUKyQcgEW4oI1iQIjWt2VSPzAgEsx1g3UrsSj+YeDFTjICrjayBBaARi671ZGpiQBCE9cnsbRQAAIABJREFUP20usjFnkdTuWnLnYiE2CN99N8GKJxCSsQ7IH6LgwsfCQtJTA7CYCyYEdp7nmZdUfZtHqSzCA3W1gy16Gy6VSD40inTKgheMpNphrhsuNUj6Vc0RYHrQw2Hrp/AnL3hs8VlfUTFJ9gCCbqQ2v3/fbz8JAHDIugEA4MZ7qo4DUt1vzcVSTfhIuiecS1eLlO3zrgQhr7fsuvVn4j4P3V5R/b5oLxxehkGZdqRIqXRmaR+LlBYFlW2ZKVY69OVn4HLYXiO1wviZIZ984hG1+5HgdqPp+t//rZsAAPvzTMK+OAh3LopaL8Ihz4AoQdRsEBbTcdlP7hPH6KKNsgTAaiAQmopJMDzrLnyKrcDxYpI4FAnuw3E5Aqnmb0+RIHwqJncNSDn0Sw602lYiJj7oRlzJxpLi0HXTUf780u+TJKxiesbDDgUAHHPIWqyf7tf0x6kkQSj6b82O5XPtdA9QQ7xdAqHVurava+CTINxxFHEQrrq0Vzcml7Yph0D0dRuELEFoevfqZ1PKoTg7TFU3V1eNIhmpQ15MZk+9+IlHlePzHJTuPtV0/b/0uCypwwmHrQOQPROx5Ghal5AKFZNzf1VmNV6COE9IbCihjcqXwCogEFLKAfM+1rCnF1mv6kxjVUxuT67+f5TKGzD7zl205eIwi838VPN3l8bsFiPRfOMB2RgvcYprp3rYNzcS9P917k/jmqVD597dc7hk632yO2re3H6Ggx4JOuy6545KIHz6/MBhZDCTE2+X+xOdIgJeTO4YzDUrbT3uqO5anhvKz1rKulraINzDORFjCkQVk2KkPjA/KmqfGJg8Wa4HmM9ILR/OJQP3mCM3lv1EetkBuq7/qIPXYONMv9hXmgThUzG5xNJcmqJsEOXcxKbQaCsx7MonED7ur+YamP2XVAlaiUS3uEmTMRm4ev5hmtaLwhcSRPW3Nkc6VRAIWSqQvFVMv6ddsLXS1ixCiaOT9pTEKW6YGWCUck3vLumaizxBETaI6+/eDQD46tV3CWMzh7nVtxDwJenop/s9PPbIjThozaDa1mOYVSPsXRuEomIaeSSIGC8mLQJdCxAVbRBGgnBVTD2fF1P1er5IcXdfmOu4RPvAfIo1gyqB+OzrfxpA/XAepmmNSJkDWo+kzl6fcNg6fO/U5xTj0+B+pen6M8mnHHcvSWSGUmCMpnrZ79xD3/w6EeIgXEmmqQ3i3j2z+MmOvbXPFxIbseIJhHlQol1BlSCqfWjis7thF2KkBuqi/b65UW2jaAa4qorJ2CCy93V9ft1bRSNqpt+ZQT1XlCRqS14lM4rnjqRL14zUvuhVye3Q/Nx+3oNEkCCU9BJPOvbg2vPwceNaiVRdxVQ3Utci9xV1mxuYCVhR6YqRWq6OKNumplwjtVDXYFRIXm7b+hybcWg2CFea2j9fX/dlud26DUJyywXkrKuuO/G6PGeXv+Ro+d2mdVNi6nMgO9xt+40kQaRp5uLsri2fdxtgbBB+FZNNPGPO+Ke9839wxoU/qX3+oe/cHP6xg5VPIDw6U80Goful13W39mFrb/SYGshPO0Eu3LN/blRL4qdFn+4XbBDmIKvFQaR1CSJEINwNm41Pc+GrfqaJz/Ojuo3FzKOWlluC9B0LEsSgX1eVaM4LU0JwWKowGd6KcjVjpFExuTaIup1AUzGJcRBKhlZNgpBSUWvSYr9X16VL3l9Adn/DtB7n0cT3f//cqGAqyn5lHf1QlEI9KiYnDqKnxI9Uf5P9P3TdFI7dtFYlJrPDUYVAZA4wzpoXss8CurrNXnPuFnWJpb2/YmQA7Za/ek1dIg9hxROIeYFrBmRDkholqgVbpfVUGwZ3PqCn3jUP/xk5gXAPpH1zw3pWUsXLx944hhvRVUy6DcKFIQKiBCHUqnaJJeALiGIM+jLXrLlVSmnR5aR69YNfDPhSgsNEe4VpK0kQLMVYSCqmeDdX1a4wqmd+NZdRmR1RLVb5SDVST/WSGnHXoq5nFCN8ynUiPC0QCGb2SxBOv1LMhHmvxUFIeZt8Ce7seJ2BQCwN5hzjuqRxmFfWm0YsbRuESyDcuusLCpTLsd7KgHjPrtnGv1/xBEI7CKQoX+kABXRPkaGTGsD+mbugbZjLTg9k/eO+ubqxLk6C8BupJS8mzY11vyJBvPwZx4kpI4ZCojWt8L1UOSyUdO4Lf/is2jW1vP92f4CcMmKocHRiWyVXkeY1I6k/zEFXVyXoRmrJYO8ezFmuHt24L6lhahKEEGEPaBKELJmY+9svHOQuMzAQ1oVRN804635aiRPwqZgkVZCrYjLz+IFv31RrW/aXXftRh29Qy4gC2fxVCESvnotpqBFh5f7YWsfu+tg360gQFUKr3o6I01/ztOL1rv1ypLgPK59ACJ47gOyBIqlgTFtADjyz29oPf+9s/RBlZnz9mruKTVf6QNcPfVfFVB5Gdb2tgVFjqHEQyqH4qp85vmaYLQjEVNb2iv/zi/jEa5+Gw9ZPiykj5oVEa3rErLS5ZQnJHNY2p2MgbYZSNC8/kw59ExwmFcmZH3FFKtA8ujR3VIm7Nc+6zmHXczFpgXKjNBU9rcToaOVASqh+6Ju5qdkghHoQBYGoEUD5/iR31FL1WLY1MQQuQ1LOWz1mwmUyzNyI7raOM4BLaCWsmUpwxMYZfOgVW9AXDPYGs/NpZe4kKXROYT4laQrw2yD2zlUD9vZbEkXTQkD2uBeS02nFE4h5gWsGTJSv03Yoq6OkYKQ0ZaRcXWg21y+JfV+86k6c8onL8LELbgFQShDuptrnsUG4zJFkpA7GQUSoVcyiM5zhIeum8LOP3CweBMycc3Syikni3usqP+T3F6f2A2R3W5vzMpAjgv0cnX0YSClKAFmCMPWdXXVUKUHU/d21mJcYLyZAdriYU9a9VB2xdHN1np+kmlOeR6kKKgc9yveINsf2oWikUpdA9HsJ+gnV9pPXE05RPdrzHONQkqbAMx9xGA5aM/DWjp4djiqq2EGvnqHVjMn1WCwkCM3uhboNwlUx7Z1bmIppqpdU1tNCIrJXPIFQD0XJs8UcGkLhG6D6wCVufKZvE4j6ZN+zO9Pxffx7WwEAG2f6WD/dx/bdVd3f/rkR1gyqHLOWaqMiQRQ2CNTGC1i6ZsFWUHc5lDespBMO6Vdr6gHBh13jxj/y3YyYSpyzJEH83deuB+AYqT1qozpRy35obxYtTbrEOEg1GwBPJLUQB9HEiylrXz+8pHoJWdu6C2YhQdSM1HXjvjmcXAbGSK/VdSHPWznH5TgKCUKosDgz6NUkCCmWJktPo1UERCXezMzL8YeurbW1r2GeRV9YQwYH5tOKcd2Ma15aQ26OLsXNdc/sMB9nnZjtnR3q7xsIEHOjNEqS8mHlEwhPIjL3gRcHnRKMJB0E9gTb+lPJBuE+ijWDHjbM9GsPPDNSaxJEdQUcsLgHs9hCdZhrvtj9ulqlIBBTLoHIJYhhffFrh21tntN6SgVNn2+Ip/38XnjSkWK/Ntxa01JiuKzf6lysn85UbbstF1ozb64KRmQcFHuFLxeTpmKKsUEAENPRa9UAJU5Yi5qXCgbtz9UbLgMjuTRrqivpUDSMznS/TiCm+0ldgkjlxH5ZehBZgnCf9ZOOPRjHHrqu1tbADvIbKHEe3/nxdlx3165CG2DGAMgEwmU+NTfXUz//QwDAzr1zNSJfkyCs8yNEH+58YP//be/Mw+2qyvv/ec90x9yBzANJSCAxA4IYQCYjKoLAr04UqxSrtPqzlaFqa7VCax/7E2wd6oDWAapWrbWP9FdFUBAQCBqmCIKBzAwZyEByk3tz53vf/rH2Pmefvde+ucHkDMn7fZ793LP3Wefc79l7rfWO611l5+MslJCK+hcQY2i3yQJg/sHtqzPvc11FtW2fBRGfCJoKWZryWXrH4WJKWyj32PNdxdfxLKZ/+MnqsrahlhbXFIvZRiPJATseCyLtvqX5V4eG06uSppnx0eZfDuosxSeCVc+V6tBkYs+lz7NYD5KTYmezExBdvREBkWZBjGlZxl07GfJZSQRxfUHqsTZP8tWLynrcRkMp+ztnPTGIgWE/53xWEmsKdga7scWzynwuprHGHsRcTCkKSfjdyRhE0o0HoTWVHHtDI8l1OvmsfxOnENFsNN+qcoB33fwQquV1rEqKUXK+SLiYUjL9ntq2D3CL2hJB6lgMoscT70zDTfdvKjsf7+LeNNS/gEgJUvsERKkUhX/yivY7nyshamb6YhA+C6Ixny2zAkZGlYHhUU8WUybg4B/ckMxiunP19rK2O7oHmNRaSM3FjnbocCKLp7mGGl40MDZY1BTTslWSrrzxuPGiiGpRIuKNm7z1K78C4IQprWXXWxqSVtpwykQe3veoljZ0oBhEVHFI8ecDNBdy9MZ4qCb3KUit5priEvAVRXSVeD0WhGeXuL7BYRrzmYSmmvPsdtYVpIVObE0TED4XU3LsZQR6BkpCOEyr9q27acgnLYh4mZvo7/NZECOjyeqvvjUv5Z8pxS3SVoqHiI6TYrpt5LtDl1FTIek6zmWSFm7YBwaGRxPzRjzmUGZBHCCNKZ7We9S7mNLcRj7zuZTvHp8I3N/ogA0ffpmLKR91MfksiGRgr7mQLdMqQ+1gvBZEiEuXzSp+f5pW0DMwzITGfOJ6S5AhFE1zC4VWvMKnz5WQJoTT1kH4gri+YoRjdXafi7DEp/xzrR4BkeYKCteflFlIKcLEp/0NexSH0ndnE+4B70rj4J6v3Phi4nf5YhC5lLUbPgvCuWvi/u4Rb5aYz5feNzRCLiOeGEvShTY0hmtuUmsDu7pLk1Waxeo4Jy2IIU+aK7j7Pt46SD4lA1xF1AfW73JlQooWRPo6CMex9BsLHot8+z63Liq+z3X42UTyQuAs6hscSfSPvkSQOiogUikCSWUt+t1LZ7bFmx8QdS8g0tY2FHJuEZB6Jv20QnLRGja+lNhoJ0lbTBZFYz5LU0xAlIJ18YVyfg27b2iEN508g3+65KTitTSrcf/AsHcimH2MC9Q9E6nPEi5a8gk1iE0EKfsJpK2k9ml/4cQcTQ+Ou2Oi8An4EPG6/a0NObrjFkRK7n84QUUHYZoLLYw5jScwC2kCIqk4hP0oXh/LtwAv5Jysd+WPQTTms8kJZmC4qCREEfaVnsi9cwHZ5CTe5LMghtPvRUtDrsy1Gk+rLufstyB892L3/kH+69HnE9d9Af58NpNIMQd421d/xWXffJDugeGIBZG+DgLg/nW7iq+L6baR7w63Kw33X4nC583YHixa6xsaSYznuLIT7e8HikHEY6PRZ/Pkln0H+HQS9S8g0gKzPj9hyjoI3yKnUABE/flRAdDv8W3GH05TIZsYsMUskZRaTHHteP/ASGLVdaoF0T9MS0NycE9tawDc4Cq2HRjxTho+V0J4X8a7UG4oJQOlpZAtm4x8a0lC5D2rfEPs6inPCmttyDE4POoPGsYm0XCC6vVN+pk0YRL9Xr/WDIGLKeY/9u0ol1by2lfszXHOJQRP2m6Avr2x0xSHcG3M3qhlOZwshxF+b/h+kUPKPQZ373rLBE967a/GXNbjIvTHY9x3JfuFu3cxCzc3tosJSuMunxF29QyWKZRRd290vxGfa7X7IAVEiL7BkcRq+Piz7uotjdu0elEh4i6maW2NvO/V88b8zFioewERmm7xAevTbtPywcOHui8iqcPsmsmtJZNxyYx2li+Y7P6vp5PGNeKmfDYIoHoERGoWU9J/HG87lovJNxG0Br8vqom4tr6AYdKVEE7q8c7vC0aOjrqd6ho8k0ZrY65sY/j4pFD23VkZM8AYRSjoot/X3T9MIZdJTvqhi8kXY4lN3EUBEXl+aX0I3DON+4/jK3zTPjs0Msr6HT3eftWUzySUj8HhEa8Lxhfw7U6xINqbPQJicMQ/iXssr+LY8wi8loZya2qs2l8zOprY2lVeumbYs9gyivjalDDtN4oDxSCgZM2F8bwfP761+F507nj/8vnF176kj+7+IURKRQLLeHiytEK856zjkmmuMSWjK/J8DrTYbf7k8viciPC3Fy7iohOnJ+aR8aDuBUTPwDD5rCR86T7/cRg0i/vpw4kvqt1uDwTElED7BjdIvn3FaRSymYSW1tU7yI33lC/rb8xnXAxiMGpqh8GstJXUpWuqSu/QCC2JtniRKiBCV0JscvZaEJ5897CDtsXum0+T6hkcRjV5j8Fd6+qLWjGOj0/D8Wl/8yb7UxbbAk04aiFt3dvP9PbGhHvHN+mnaX+lgHbpvoUVZtuakveupSGXcO/4LIhJrQ20NeaKlh3Aw5t2A3CXZ0MYn2XS3e+PNzV6hMne3qFi9lYURQuiN25BJCeSCQ05MlIuTMJMsPgqfQisHo9r1fvdjbmySXF0VIMCeekTWtwtNqokLO18ipIRve9h+urWoLbaU9u6i+9F+99Hzl9YfN0W9JNof9vX78Ze3BoAF2MpyyAM7sUHzp3PRS+fjsTC1NFY4eiosrdvqDi5H0wM4tqLSjs6Tp7Q8JIC1jUnIETkAhFZIyLrReSjB2r/wt5+JrY0JCaCziBNL+qOCINm8cHiy43fEQSdpk5ICTrFtLQb71mfaBdmMfktiPLOXPJrRlMDR1FNxiv8u0anT/qhVhP10/ektA0nxagA3NrlcqtndJTfC58FsSsQrJ2e4nvzJ7ewdnvJVA8n5tcsnJxo64tBpG3ocmxnEwBbuko54Nu6+pjennx2oYCIarfbuvrICHQ0FQ7YdtNOF8eZ0dGU/O5CNqH9+cp9g9uvOzrYQ4X4Y298WaJtYz6bcMdt6epjyoQGb9u+2CZOXX2Did8GfhdTz0AyBRtcNk57U549EXfH+h1uMp3jWYzWnM8W11RAetYclKyNkPOe3kFGNZlJFUV0rO4OOMWFdpqbMqoohX3GZ8GH/e+cEyaVTfyzg9+7emvJp98zMMwEz3gCN19Erbod3W5umRus0YjP23t6h4rure5+p3B9+A0LmdnR5C11HkW0r0YVnsZ8NnX8jIWaEhAikgVuBN4ILAbeISKLx/rMxl37OT6W9gilm79pVykwu2FnD8e0FOhoLu944UDbsqc0wezoHqAhl/Fqir60PJ8lKyIuSO2LQcQGYThYr7/96eK1cLJJxhX8akSaBZHJCK0NSfeOr0OXLIjSD9qyp49cRpgSE5a+VckbgwnUp+3PmdjClq6+4kRQdF01JDXQ+OBWVV7c769GGebs74lowlu7+ryTuEv3pGzyWrejh7mTWhJW3ZyJzWQzUsxZB9j04n7yWSn2ryhaCskAsVsHkeQcz7wKJ7xzTkgKywVTW9mws6doRfQPjfDc7l4WTpuQaDsnKFu9IXgOqsqe3iE6PBZEh0dAdPUOeivrAnQ2F8rWjzy/p4+mfNabudNcyCYSEgq5jFeLbS7kiunfUPKjT2pNCsAQUQviic17AXjZtPIsnXw26fsfGdUyN+BbXjETKAmuqFISfvbCE6eXfceszmY6m/M8t7u0S2N3/5DXogN336LWRhignhYoMHEFYmRUi5ZqKJA7m/Ns6erjllVbvP8jxJ7I/4laJv1DIwyOjJY96/HAL/Kqh9OA9aq6EUBEfgC8CVjta7x9Xz+7nu/i7cuOTbw3N9g/9nsPPseTW1wHemDDLq8w6WwpMK2tketvf7rY8e5bu5MpbUnLBJzJuOq5Lj57x5ritbD+0gVLpvGGJVNZsd5lPTTlXR39f/7502REWBvslhYXEKFFsbdviM/8fA0SMefjrp1oIPv6256ikHP57APDo14BAW5CenDTi0XOW7v6Ev5KKFkQX7xrXTE4ds+anUzvaEymEQZBxHvX7iy6NR4PBqvvu6e2NTI4PMoNP3uaQjbDmhfcvfAG9rLuXoV8h0dLO9fFn3dordyyajPrgvu7vXuAGe1JASEitDXmuXfdrqKY/c1zXSyekUwBbGnIMX9yS9nOdvc8vYMZHU2pE93u/YNl/WLz7t5iX4xiQmOe/YMjXH/7UxSymaJrw3cvls5sZ3hU+dRtT9HZXGBf3xCqfs39pGM7APj8L9Yyb1ILI6PK4PBoQimCkmvuS3evK1raz77Yy/GeZwfQ0ZzniS17i7/v/nU7mdnZ5B0jTYVs2b1YueFFb/wBKLpQP3vHGhrz2aJW7xMQ1128mE/euppv3r+paCE+tGk3hWwmkcZZyGXoGxopex5RCwjglNmdAJw6t5N71uzkwU27I7/PjWFf0H5qWyMrN5bG0+pt+7zeBvc7Cjy5tXTfHgjmhqmBYPUpEJ+7cy3tTfnieOqMPL8rv7+K2cc0e/vghp0lC705oliGMZa3f+3XnBfssT0e1JqAmAlEc9g2A6dHG4jI+4D3ARSmHc/srHDOgkmJL2pvynPSrHZWrNvJinU7i9f/6NTZ3n981vGT+NGqzWWuojcH2kUcS2e2cefq7ax5oTxt7NJls4rpqG89ZRYAL5s2gUI2w1d/WYpPTJnQwBSP1vWdK07jA99bxVd+WeLQ2pBLTF6vCDo1wNfv31jUEwrZDIum+3OdTz62gztWv1DUhkWEE2e2J9oVchlOm3sMDz2zu+xeXPLKWYm2mYyweHobjzyzm0ee2V32v3x+6ZOPbacxn+EbkZ2tprU1lsV5Qiye0cZ/Pvx8GYeGXIZvvec0zpg/saxtZ3OBeZNauG/tTu5b6551LpvhlDkd3nuxbE4n96zZwRObu4r34szYd4ZYvmAyN63YVMbj7Sl9aPGMNkZGNeFuPH/ptETbU4/rpCGX4Wv3bixOEDM7mpjscRuddGwHbY05vv/gc8VrExpynHxsZ6LtvMktzD6mmduf2Fa8VshlWOIRgPlshrOOn8ivNrxY5CwiRSETxymzO7n5gfJ7cdnpc7xtl85sTzy/M+cnxynAgmkTaMhluGlFaRVwR3Oe+VOSgvX8JVP5wi/WcsuqzWXXL1g6LRGzWDh1Aqrl7t9RdUrbX52/kN6B4eIk++V3nsLZn76bNS/sK47rUA97+azk/Tj9uGP495XPln33eYuSzxnglXM6+clvt5W1nTuxuZh+3t6UZ1JrgaER5RN/sJhr//tJvrvy2SKHzuY8SyLC79bfumfrEywiwrUXLSKXES5cWrJ8PnTeAj78X4/z9AvdRSV1PJCXsk/p4YKIXAJcoKp/FpxfDpyuqlf62i9btkwfeeSRSlI0GAyGuoeIPKqqyw7UrqZiEMAWIOo/mBVcMxgMBkOFUWsC4mHgBBE5TkQKwB8BP64yJ4PBYDgqUVMxCFUdFpErgZ8DWeBmVf1dlWkZDAbDUYmaEhAAqnobcFu1eRgMBsPRjlpzMRkMBoOhRmACwmAwGAxemIAwGAwGgxc1tQ7iYCEiO4Fnq83jIDEJ2HXAVrWDeuMLxrkSqDe+YJyjmKOqybouMdS1gKhHiMgj41mgUiuoN75gnCuBeuMLxvmlwFxMBoPBYPDCBITBYDAYvDABUXl8vdoEDhL1xheMcyVQb3zBOB80LAZhMBgMBi/MgjAYDAaDFyYgDAaDweCFCQgD4tsSzGAwHPUwAXGIISKvFZHkVli1jeL2b/UiLERkUrCHeV1wFpFPi8g5weua51uvEJG3ikhyq70ahYhMiLyuuX5hAuIQQUQuE5FHgXOBg9sZvEoQkXcEnP+fiFwDoDWetRDc58eAzwDfhNrmHPC9G3hvcNQ0XwAR+TMR+WEo0OoBIvLHIrISOBvorzafA0FELhWR3wE3iMg/QW32i5or911PCCR+DrgG+DjwRlVdWV1W44OILAOuAj4ArAfuEpFuVb1ZRKTWOquI5ID3A38IXAn8GtgoImeo6q+rSs4DEWkGrgNOxfWNAnCxiLSqas+YH64iROR84EPAU8AZIvKkqu6p0T4hgAB/glMWzlTVB6vL6sAQkYW4sfceVX1IRFaIyDWq+oVqc4vDLIiXCBFpVIchYC3wPeBZESmIyNtEZEaVKSYgIo2R00XAXaq6UlV34fh/SkTaa20iALeZFPBTVV2uqitwW9M+AuysLjM/VLUX+I6qvj4QYJ3A8loUDiLSEDl9FHgd8GXclr/Lofa0WxFpCMbfKPAQ8J/AgIhkRORPRGRRlSmWIXaPZwGPA08G598ArhORV1Sc2AFgAuIlQESuA34mIleLyALgduD54O8q4C3At0Xk40H7qt/nGOdjgTXAG0VkcdBkFNgHfDBoXwuc/0FELgrPVXVTcP1U4BagASfU/i64XlXOHr5PRV7/f6Cp1tw2IvIx4JagXyxR1V2qug24F7cf/DIRmRu0rQkfeYzzomDXyTuAW3ET7xnAzSJyfdC+2v0iyncusBWYC5wX3NN2YANu3qg63yhqhki9QESuwGlYf4OrtPjPwd8f4zrpBar6x7iJ9q9EZGKg5VQNHs5fxrkQbgE+EsQhpgDvxLlBWqrJWUSOEZGvA1fjBEDcFboZeJ2qXgx8BLhKRGZUi/M4+CIibcDdwNRK8/NB3L7vdwNLcPGchcC7w6BpcC9/AUwAXh9cq6oVkcL5isCd93Pga8CbVfX9wOW431PNfuHje2WgOPwEuBD4FbAAeB9wqYh0VHu+KIOq2jHOA+fv/Hvg0uC8FfgUzpUA0Bhr/x/AwhrkfANwU3DeDpwcvJ4LfBGX1SRV5NwAXBi8vg34m+B1JqX9j4CzapCvxNr9ALg6eJ2tcr9oBz4UOT8f52ZsjPLG+ff/Dng38NEa5Px9XHwnC+Q9/eKMGuP7g2BMZoJx9rLgvQzwr8Ax1Rx78cMsiIOABk8SeFdw3gN8HlgkIq9R1X4AEcmLyJeANqq8X0UK588CLxeR16rqXlV9TEQKuKDqiKoORT5XcajqAHBfcPr3wHtFZLqqjkbdHCLSKCKfx/n3f1cFqsCYfFUcssF7PwXeEXxmpApUAecqUtW9ON93iN/h4jr5kHdw/Tc4IXFDhWmWYQzOs4AGVR1RFw9ERJpE5F9wk+3qyrMdk+8MoFUF5jUVAAAHnElEQVRVR4Nx9rSItOKsn2ZV3V3NsReHCYgUiFvPMC1yHg6YG4B5IvLq4HwX8O/AG4J2b8aZjSPAH4ZCo0Y5vy5odwrO/QHwsQrRDTmWcQ6hqj3BIHsY5w//ZHA9nHT/ILgOcLGqdtUq34gweAG4sdI+5jjncAJS1e5Is9OB58NrwX0uAP8C3A/MU9WKCYmXwjn43LnAXcHpRcEkXct8j8O5mwD+byW4HgxMQMQgImeKy09+N84dE30vF2iLN+JiD2FHGAF2B82eBi5R1b9Ul8lSy5z3BM2eBd6mqn9aKYGWxjmY/MN+GWreHwXOFpETROQMYCmwAnefP1iJ+/x78H1VwBngblX9rlbIxzwezpF4yRxcgBcROUNcwHoQeIuqvrvafXkcnM8MJtvHcIpZRcbf78l3obrEi0tU9b2q2ne4+R40qu3jqqUDN8D/DXhn7Hom8np68PdunGZ+Ni5A9pE65PzXtcwZZ3KH51/AZVo9BpxqfA8Z59bg9ReBf8SVl74DWFxnnO+sNOd6vMcH/RurTaCWDpwv+1tABy7wdTlwPEHwGfgczn00F5iHW7h1L/Bx43zIOd+HW2QmwMXAJqonhOuK70FyfiUuU2krLvX5GuN8ZPJ9KcdRvZJaRK4GTgRWqupNOJfbPOAk3GrSAdxg7xKRD+FWTV+kqqFr5l9F5GZ1prhxPrSc3xRyFpE1uEyrSvmT64rvIeL8SeCHqvqicT4y+B4SVFtCVevA+QxXAhfgNOprgSacC2Y9pbTQCcCLwEmRz1YlRfEo5Jwzvoedc8E4H3l8D9VxNAepXwd8WlV/BnwYl//9F7ic7wnBgbqMg+8TLHAKMlWqlaJ4tHEeNr7jwu/DuWKWZAz1xrne+B4SHHUCIpJx8hucOYiqPoLLilmCCyr9NXC+iPwfEbkWOIsgn1oDlcA4H1mc642vcTa+lcARLyBE5CwRmR+eaynF8AEgI6W1AU/i6im9UlW/g1vVeDYwG5dnv9k4Hzmc642vcbZ+UQ0csUFqcYu/bsBVozwjcj0TPPR1uJWNbxeRB1R1s4hMAU4AUNW7ReSXWsG6KMbZ+Bpn6xe1hCPOghBX5uJruFzjL+Ly/V8TvJeNPMBu3ArRBuAzIpLHpa0Vy0dXsHMaZ+NrnK1f1ByOOAGBe4D3Aeeo6q24iqWLxK0oHgFXlhkXSNqLqz/UiXv4e4FvG+cjknO98TXOxrfqOCJcTCLyKmC3qq4F9qvq9yJvZ3EF6IZFRHB5zCfgKlNuCD5/BdCi5XVTjHOdc643vsbZ+kXNQWsg1/alHrgVjD/FmX/X4h4aBOV0g9fHA9uBzvC9yOe95aONc31zrje+xtn41upR7y6mFpzP8Krg9auhWEFzVFyK2jNBm+Xhe1AWfDLORx7neuNrnI1vTaLuBISIvEtElotIm6puwQWXfgj0A6dLsBe0iEjwQMO9YMO9GgQqG1AyzsbXOFu/qEfUhYAQh+kicg9u85LLgK+KyCRV7VdX1vcXuODRa6FYzz6rqvtxv/NV4XXjfGRwrje+xtn6Rd1BD5Gv6nAdBDWEcPu2fje8BnwJuCXW9oO4crrtlJdermgtFONsfI2z9Ysj4ahZC0JEsiLyKdwm8MtxG36PQHG7xmuAM4P3QnwDt2nHncCm0HzUCtVCMc6Hn3O98TXO1i/qGTUpIIKH+CjOBFyP275xCDhXRE6Dok/wE8ER4iJcAa3HgRNVdatxPnI41xtf42z9ou5RbRPGdwDnAJdHzr8C/Dmu5O6jwbUMMA0XcJobXHsT8GrjfGRyrje+xtn41vtRkxYEThv4oYiEe/w+AMxW1W8BWRG5Sp1GMAu3qOUZAFX9H1W9rxqEMc7G1w/jbHzrFjUpIFS1V1UHtLSHwXmUap68B7cU/lbgP4BVUEpHqxaM8+FHvfEF41wJ1BvfekJNl9oINALFbb7x4+ByN/C3wFJgk7rcZlS1JtLRjPPhR73xBeNcCdQb33pATVoQEYwCeWAX8PJAC7gOGFXVFeHDrjEY58OPeuMLxrkSqDe+tY9qBT/Ge+AWrIzidnD602rzMc61cdQbX+NsfOvxkOCm1ixEZBZwOfA5VR2oNp/xwDgfftQbXzDOlUC98a111LyAMBgMBkN1UOsxCIPBYDBUCSYgDAaDweCFCQiDwWAweGECwmAwGAxemIAwGAwGgxc1vZLaYKgViMhE4K7gdBqulHRYzqFXVc+sCjGD4TDC0lwNhoOEiHwC6FHVz1Sbi8FwOGEuJoPh94SI9AR/XyMi94rI/4jIRhG5QUQuE5GHROQJEZkftJssIj8SkYeD46zq/gKDwQ8TEAbDocVJwPuBRbgVvQtU9TTgm8BVQZsvAJ9X1VOBtwXvGQw1B4tBGAyHFg+r6jYAEdkA3BFcfwI4N3j9emBxpOJ0m4i0qmpPRZkaDAeACQiD4dAiWv9nNHI+Smm8ZYBXqWp/JYkZDAcLczEZDJXHHZTcTYjIyVXkYjCkwgSEwVB5XA0sE5HfishqXMzCYKg5WJqrwWAwGLwwC8JgMBgMXpiAMBgMBoMXJiAMBoPB4IUJCIPBYDB4YQLCYDAYDF6YgDAYDAaDFyYgDAaDweDF/wLyOi3myqg4XwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot calculated feed-in\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "feedin_scaled.plot(title='Scaled PV feed-in')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Power in W');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Feed-in for PV system with optional parameters**\n",
    "\n",
    "In the following example the feed-in is calculated for the PV system with optional system parameters (with 2 modules per string, instead of 1, which is the default). It was chosen to demonstrate the importantance of choosing a suitable converter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "feedin_ac = pv_system_with_optional_parameters.feedin(\n",
    "    weather=weather_df,\n",
    "    location=(lat, lon))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot calculated feed-in\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "feedin_ac.plot(title='PV feed-in')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Power in W');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As the above plot shows the feed-in is cut off at 250 W. That is because it is limited by the inverter. So while the area is as expected two times greater as for the PV system without optional parameters, the peak power is only around 1.2 times higher."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.208903915833208"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pv_system_with_optional_parameters.peak_power / pv_system.peak_power"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pv_system_with_optional_parameters.area / pv_system.area"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you are only interested in the modules power output without the inverter losses you can have the `Pvlib` model return the DC feed-in. This is done as follows: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "feedin_dc = pv_system_with_optional_parameters.feedin(\n",
    "    weather=weather_df,\n",
    "    location=(lat, lon),\n",
    "    mode='dc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot calculated feed-in\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "feedin_dc.plot(label='DC', title='AC and DC PV feed-in', legend=True)\n",
    "feedin_ac.plot(label='AC', legend=True)\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Power in W');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Feed-in with optional model parameters**\n",
    "\n",
    "In order to change the default calculation configurations of the `Pvlib` model to e.g. choose a different model to calculate losses or the solar position you can pass further parameters to the `feedin` method. An overview of which further parameters may be provided is documented under the [feedin method](https://feedinlib.readthedocs.io/en/features-design-skeleton/temp/feedinlib.models.Pvlib.html#feedinlib.models.Pvlib.feedin)'s kwargs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "feedin_no_loss = pv_system.feedin(\n",
    "    weather=weather_df,\n",
    "    location=(lat, lon),\n",
    "    aoi_model='no_loss')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot calculated feed-in\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "feedin_no_loss.iloc[0:96].plot(label='aoi_model = no_loss', legend=True)\n",
    "feedin.iloc[0:96].plot(label='aoi_model = sapm_aoi_loss', legend=True)\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Power in W');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}