PyCCD.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"top\"></a>\n",
    "# PyCCD\n",
    "<hr>\n",
    "\n",
    "# Notebook Summary\n",
    "\n",
    "PyCCD is an abbreviation of \"Python Continuous Change Detection\". It is a Python implementation of the land change detection algorithm presented in the paper \"Continuous Change Detection and Classification of Land Cover Using All Available Landsat Data\" by Zhe Zhu and Curtis E. Woodcock.\n",
    "\n",
    "<hr><hr>\n",
    "\n",
    "# Outline\n",
    "\n",
    "* [Import Dependencies and Connect to the Data Cube](#import)\n",
    "* [Choose Platform and Product](#plat_prod)\n",
    "* [Get the Maximum Extents of the Cube](#extents)\n",
    "* [Define the Extents of the Analysis](#define_extents)\n",
    "* [Load Data from the Data Cube](#retrieve_data)\n",
    "* [Run PyCCD](#run_pyccd)\n",
    "* [Plot Change Volume and Detection Dates](#plot_cng_det_dates)\n",
    "* [Validate Changes](#validate)\n",
    "\n",
    "<hr><hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span id=\"import\">Import Dependencies and Connect to the Data Cube [&#9652;](#top)</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import datacube\n",
    "import utils.data_cube_utilities.data_access_api as dc_api\n",
    "import datetime as dt\n",
    "\n",
    "# Supress Warning \n",
    "import numpy as np\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "api = dc_api.DataAccessApi(config = '/home/localuser/.datacube.conf')\n",
    "dc = api.dc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span id=\"plat_prod\">Choose Platform and Product [&#9652;](#top)</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NetCDF Products:\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>description</th>\n",
       "      <th>creation_time</th>\n",
       "      <th>product_type</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>platform</th>\n",
       "      <th>instrument</th>\n",
       "      <th>label</th>\n",
       "      <th>time</th>\n",
       "      <th>format</th>\n",
       "      <th>crs</th>\n",
       "      <th>resolution</th>\n",
       "      <th>tile_size</th>\n",
       "      <th>spatial_dimensions</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>alos02_palsar02_scansar_colombia</td>\n",
       "      <td>ALOS2 PALSAR JJFAST tile in DN format processe...</td>\n",
       "      <td>None</td>\n",
       "      <td>tile</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS-2</td>\n",
       "      <td>PALSAR-2</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>alos02_palsar02_scansar_samoa</td>\n",
       "      <td>ALOS2 PALSAR JJFAST tile in DN format processe...</td>\n",
       "      <td>None</td>\n",
       "      <td>tile</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS-2</td>\n",
       "      <td>PALSAR-2</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000226039783001808, 0.000231481481481481]</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>alos02_palsar02_scansar_vietnam</td>\n",
       "      <td>ALOS2 PALSAR JJFAST tile in DN format processe...</td>\n",
       "      <td>None</td>\n",
       "      <td>tile</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS-2</td>\n",
       "      <td>PALSAR-2</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.00022583559168925, 0.000241312741312741]</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>alos2_jjfast_scansar_tile_colombia</td>\n",
       "      <td>ALOS2 PALSAR JJFAST tile in DN format processe...</td>\n",
       "      <td>None</td>\n",
       "      <td>tile</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS_2</td>\n",
       "      <td>PALSAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>alos2_palsar2_scansar_caqueta</td>\n",
       "      <td>ALOS2 PALSAR JJFAST tile in DN format processe...</td>\n",
       "      <td>None</td>\n",
       "      <td>tile</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS_2</td>\n",
       "      <td>PALSAR_2</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>alos2_palsar_colombia</td>\n",
       "      <td>ALOS2 PALSAR tile in DN format processed for t...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS_2</td>\n",
       "      <td>PALSAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>alos2_palsar_kenya</td>\n",
       "      <td>ALOS2 PALSAR tile in DN format processed for t...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS_2</td>\n",
       "      <td>PALSAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>alos2_palsar_vietnam</td>\n",
       "      <td>ALOS2 PALSAR tile in DN format processed for t...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS_2</td>\n",
       "      <td>PALSAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>alos_palsar_colombia</td>\n",
       "      <td>ALOS PALSAR tile in DN format processed for th...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS</td>\n",
       "      <td>PALSAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>alos_palsar_kenya</td>\n",
       "      <td>ALOS PALSAR tile in DN format processed for th...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS</td>\n",
       "      <td>PALSAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>alos_palsar_vietnam</td>\n",
       "      <td>ALOS PALSAR tile in DN format processed for th...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>ALOS</td>\n",
       "      <td>PALSAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.0002666666667, 0.0002666666667]</td>\n",
       "      <td>[0.5333333334, 0.5333333334]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>gpm_imerg_gis_daily_global</td>\n",
       "      <td>Global NetCDF GPM IMERG GIS data</td>\n",
       "      <td>None</td>\n",
       "      <td>daily</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>GPM</td>\n",
       "      <td>GPM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.1, 0.1]</td>\n",
       "      <td>[90, 180]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>gpm_imerg_gis_monthly_global</td>\n",
       "      <td>Global NetCDF GPM IMERG GIS data</td>\n",
       "      <td>None</td>\n",
       "      <td>monthly</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>GPM</td>\n",
       "      <td>GPM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.1, 0.1]</td>\n",
       "      <td>[90, 180]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ls5_ledaps_bangladesh</td>\n",
       "      <td>Landsat 5 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_5</td>\n",
       "      <td>TM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270861, 0.000294834]</td>\n",
       "      <td>[0.812583, 0.884502]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ls5_ledaps_lake_chad_full</td>\n",
       "      <td>Landsat 5 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_5</td>\n",
       "      <td>TM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271152, 0.00027769]</td>\n",
       "      <td>[0.813456, 0.83307]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>ls5_ledaps_swiss_mini</td>\n",
       "      <td>Landsat 5 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_5</td>\n",
       "      <td>TM1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269493, 0.000269493]</td>\n",
       "      <td>[0.99981903, 0.99981903]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ls7_ledaps_amazon_river</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271302, 0.000269995]</td>\n",
       "      <td>[0.813906, 0.809985]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ls7_ledaps_bangladesh</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270861, 0.000294834]</td>\n",
       "      <td>[0.812583, 0.884502]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>ls7_ledaps_bangladesh_bari</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270861, 0.000294834]</td>\n",
       "      <td>[0.812583, 0.884502]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>ls7_ledaps_caqueta</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269494585236, 0.000269494585236]</td>\n",
       "      <td>[0.538989170472, 0.538989170472]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ls7_ledaps_colombia</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271307, 0.000269505]</td>\n",
       "      <td>[0.9495745, 0.9432675]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ls7_ledaps_ghana</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269494585236, 0.000269494585236]</td>\n",
       "      <td>[0.943231048326, 0.943231048326]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>ls7_ledaps_honduras</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271141072802191, 0.000278249126645553]</td>\n",
       "      <td>[0.999968276494482, 0.999470862910829]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ls7_ledaps_kenya</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269493, 0.000269493]</td>\n",
       "      <td>[0.99981903, 0.99981903]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>ls7_ledaps_lake_baringo</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269493, 0.000269493]</td>\n",
       "      <td>[0.249820011, 0.249820011]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ls7_ledaps_lake_chad_full</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271152, 0.00027769]</td>\n",
       "      <td>[0.813456, 0.83307]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ls7_ledaps_lake_cortijo</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271297, 0.000270148]</td>\n",
       "      <td>[0.813891, 0.810444]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ls7_ledaps_menindee_lakes</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270523, 0.000319227]</td>\n",
       "      <td>[0.9468305, 1.1172945]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ls7_ledaps_meta_river</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.00027129679, 0.00027014858]</td>\n",
       "      <td>[0.49999998397, 0.499774873]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ls7_ledaps_salgar_colombia</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271285, 0.000270849]</td>\n",
       "      <td>[0.9494975, 0.9479715]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>ls7_ledaps_samoa</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270961, 0.000280452]</td>\n",
       "      <td>[0.812883, 0.841356]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>ls7_ledaps_south_africa</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270676, 0.000307499]</td>\n",
       "      <td>[0.999877144, 0.999986748]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>ls7_ledaps_swiss_mini</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM3</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269493, 0.000269493]</td>\n",
       "      <td>[0.99981903, 0.99981903]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>ls7_ledaps_switzerland</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM3</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269856975802825, 0.000394197414064964]</td>\n",
       "      <td>[0.999550238373662, 0.999684642068748]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ls7_ledaps_togo</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271285, 0.000270971]</td>\n",
       "      <td>[0.813855, 0.812913]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ls7_ledaps_tonga</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270961, 0.000280452]</td>\n",
       "      <td>[0.812883, 0.841356]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>ls7_ledaps_vietnam</td>\n",
       "      <td>Landsat 7 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LEDAPS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_7</td>\n",
       "      <td>ETM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269494585236, 0.000269494585236]</td>\n",
       "      <td>[0.943231048326, 0.943231048326]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>ls8_lasrc_caqueta</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269494585236, 0.000269494585236]</td>\n",
       "      <td>[0.538989170472, 0.538989170472]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>ls8_lasrc_honduras</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271141072802191, 0.000278249126645553]</td>\n",
       "      <td>[0.999968276494482, 0.999470862910829]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>ls8_lasrc_lake_chad_full</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271152, 0.00027769]</td>\n",
       "      <td>[0.813456, 0.83307]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>ls8_lasrc_meta_river</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.00027129679, 0.00027014858]</td>\n",
       "      <td>[0.49999998397, 0.499774873]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>ls8_lasrc_samoa</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270961, 0.000280452]</td>\n",
       "      <td>[0.812883, 0.841356]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>ls8_lasrc_swiss_mini</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269493, 0.000269493]</td>\n",
       "      <td>[0.99981903, 0.99981903]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>ls8_lasrc_switzerland</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269856975802825, 0.000394197414064964]</td>\n",
       "      <td>[0.999550238373662, 0.999684642068748]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>ls8_lasrc_tonga</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000270961, 0.000280452]</td>\n",
       "      <td>[0.812883, 0.841356]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ls8_lasrc_uruguay</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269494585236, 0.000269494585236]</td>\n",
       "      <td>[0.943231048326, 0.943231048326]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>ls8_lasrc_vietnam</td>\n",
       "      <td>Landsat 8 USGS Collection 1 Higher Level SR sc...</td>\n",
       "      <td>None</td>\n",
       "      <td>LaSRC</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>LANDSAT_8</td>\n",
       "      <td>OLI_TIRS</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269494585236, 0.000269494585236]</td>\n",
       "      <td>[0.943231048326, 0.943231048326]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>s1_gamma0_colombia</td>\n",
       "      <td>Sentinel-1A/B SAR Gamma0, processed to the CEO...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>SENTINEL_1</td>\n",
       "      <td>SAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269715032, 0.000269715032]</td>\n",
       "      <td>[0.809145096, 0.809145096]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>s1_gamma0_lake_chad</td>\n",
       "      <td>Sentinel-1A/B SAR Gamma0, processed to the CEO...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>SENTINEL_1</td>\n",
       "      <td>SAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269715032, 0.000269715032]</td>\n",
       "      <td>[0.809145096, 0.809145096]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>s1_gamma0_menindee_lakes</td>\n",
       "      <td>Sentinel-1A/B SAR Gamma0, processed to the CEO...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>SENTINEL_1</td>\n",
       "      <td>SAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269715032, 0.000269715032]</td>\n",
       "      <td>[0.809145096, 0.809145096]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>s1_gamma0_vietnam</td>\n",
       "      <td>Sentinel-1A/B SAR Gamma0, processed to the CEO...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>SENTINEL_1</td>\n",
       "      <td>SAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269715032, 0.000269715032]</td>\n",
       "      <td>[0.809145096, 0.809145096]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>s1g_gamma0_caqueta</td>\n",
       "      <td>Sentinel-1A/B SAR Gamma0, processed to the GEE...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>SENTINEL_1</td>\n",
       "      <td>SAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000180831826401447, 0.000179533213644524]</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>s1g_gamma0_samoa</td>\n",
       "      <td>Sentinel-1A/B SAR Gamma0, processed to the GEE...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>SENTINEL_1</td>\n",
       "      <td>SAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000180831826401447, 0.000184842883548983]</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>s1g_gamma0_switzerland</td>\n",
       "      <td>Sentinel-1A/B SAR Gamma0, processed to the GEE...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>SENTINEL_1</td>\n",
       "      <td>SAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000269493, 0.000269493]</td>\n",
       "      <td>[0.99981903, 0.99981903]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>s1yearly_gamma0_ghana</td>\n",
       "      <td>Sentinel-1A/B SAR Gamma0, processed to the Yea...</td>\n",
       "      <td>None</td>\n",
       "      <td>gamma_0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>SENTINEL1</td>\n",
       "      <td>SAR</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000180831826401447, 0.000180831826401447]</td>\n",
       "      <td>[1, 1]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>terra_aster_gdm_salgar_colombia</td>\n",
       "      <td>Terra Aster -- metre, UTM 36 projection</td>\n",
       "      <td>None</td>\n",
       "      <td>GDEM_V2</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>TERRA</td>\n",
       "      <td>ASTER</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271285, 0.000270849]</td>\n",
       "      <td>[0.9494975, 0.9479715]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>terra_aster_gdm_samoa</td>\n",
       "      <td>Terra Aster -- metre, UTM 36 projection</td>\n",
       "      <td>None</td>\n",
       "      <td>GDEM_V2</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>TERRA</td>\n",
       "      <td>ASTER</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NetCDF</td>\n",
       "      <td>EPSG:4326</td>\n",
       "      <td>[-0.000271285, 0.000270849]</td>\n",
       "      <td>[0.9494975, 0.9479715]</td>\n",
       "      <td>(latitude, longitude)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  name  \\\n",
       "id                                       \n",
       "91    alos02_palsar02_scansar_colombia   \n",
       "92       alos02_palsar02_scansar_samoa   \n",
       "93     alos02_palsar02_scansar_vietnam   \n",
       "61  alos2_jjfast_scansar_tile_colombia   \n",
       "65       alos2_palsar2_scansar_caqueta   \n",
       "50               alos2_palsar_colombia   \n",
       "51                  alos2_palsar_kenya   \n",
       "52                alos2_palsar_vietnam   \n",
       "53                alos_palsar_colombia   \n",
       "54                   alos_palsar_kenya   \n",
       "55                 alos_palsar_vietnam   \n",
       "14          gpm_imerg_gis_daily_global   \n",
       "15        gpm_imerg_gis_monthly_global   \n",
       "17               ls5_ledaps_bangladesh   \n",
       "18           ls5_ledaps_lake_chad_full   \n",
       "85               ls5_ledaps_swiss_mini   \n",
       "19             ls7_ledaps_amazon_river   \n",
       "20               ls7_ledaps_bangladesh   \n",
       "35          ls7_ledaps_bangladesh_bari   \n",
       "87                  ls7_ledaps_caqueta   \n",
       "21                 ls7_ledaps_colombia   \n",
       "22                    ls7_ledaps_ghana   \n",
       "74                 ls7_ledaps_honduras   \n",
       "23                    ls7_ledaps_kenya   \n",
       "41             ls7_ledaps_lake_baringo   \n",
       "24           ls7_ledaps_lake_chad_full   \n",
       "25             ls7_ledaps_lake_cortijo   \n",
       "26           ls7_ledaps_menindee_lakes   \n",
       "27               ls7_ledaps_meta_river   \n",
       "28          ls7_ledaps_salgar_colombia   \n",
       "68                    ls7_ledaps_samoa   \n",
       "75             ls7_ledaps_south_africa   \n",
       "82               ls7_ledaps_swiss_mini   \n",
       "79              ls7_ledaps_switzerland   \n",
       "29                     ls7_ledaps_togo   \n",
       "30                    ls7_ledaps_tonga   \n",
       "31                  ls7_ledaps_vietnam   \n",
       "86                   ls8_lasrc_caqueta   \n",
       "73                  ls8_lasrc_honduras   \n",
       "32            ls8_lasrc_lake_chad_full   \n",
       "33                ls8_lasrc_meta_river   \n",
       "70                     ls8_lasrc_samoa   \n",
       "83                ls8_lasrc_swiss_mini   \n",
       "77               ls8_lasrc_switzerland   \n",
       "71                     ls8_lasrc_tonga   \n",
       "40                   ls8_lasrc_uruguay   \n",
       "34                   ls8_lasrc_vietnam   \n",
       "57                  s1_gamma0_colombia   \n",
       "58                 s1_gamma0_lake_chad   \n",
       "59            s1_gamma0_menindee_lakes   \n",
       "60                   s1_gamma0_vietnam   \n",
       "97                  s1g_gamma0_caqueta   \n",
       "99                    s1g_gamma0_samoa   \n",
       "80              s1g_gamma0_switzerland   \n",
       "89               s1yearly_gamma0_ghana   \n",
       "13     terra_aster_gdm_salgar_colombia   \n",
       "66               terra_aster_gdm_samoa   \n",
       "\n",
       "                                          description creation_time  \\\n",
       "id                                                                    \n",
       "91  ALOS2 PALSAR JJFAST tile in DN format processe...          None   \n",
       "92  ALOS2 PALSAR JJFAST tile in DN format processe...          None   \n",
       "93  ALOS2 PALSAR JJFAST tile in DN format processe...          None   \n",
       "61  ALOS2 PALSAR JJFAST tile in DN format processe...          None   \n",
       "65  ALOS2 PALSAR JJFAST tile in DN format processe...          None   \n",
       "50  ALOS2 PALSAR tile in DN format processed for t...          None   \n",
       "51  ALOS2 PALSAR tile in DN format processed for t...          None   \n",
       "52  ALOS2 PALSAR tile in DN format processed for t...          None   \n",
       "53  ALOS PALSAR tile in DN format processed for th...          None   \n",
       "54  ALOS PALSAR tile in DN format processed for th...          None   \n",
       "55  ALOS PALSAR tile in DN format processed for th...          None   \n",
       "14                   Global NetCDF GPM IMERG GIS data          None   \n",
       "15                   Global NetCDF GPM IMERG GIS data          None   \n",
       "17  Landsat 5 USGS Collection 1 Higher Level SR sc...          None   \n",
       "18  Landsat 5 USGS Collection 1 Higher Level SR sc...          None   \n",
       "85  Landsat 5 USGS Collection 1 Higher Level SR sc...          None   \n",
       "19  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "20  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "35  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "87  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "21  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "22  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "74  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "23  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "41  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "24  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "25  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "26  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "27  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "28  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "68  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "75  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "82  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "79  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "29  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "30  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "31  Landsat 7 USGS Collection 1 Higher Level SR sc...          None   \n",
       "86  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "73  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "32  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "33  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "70  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "83  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "77  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "71  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "40  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "34  Landsat 8 USGS Collection 1 Higher Level SR sc...          None   \n",
       "57  Sentinel-1A/B SAR Gamma0, processed to the CEO...          None   \n",
       "58  Sentinel-1A/B SAR Gamma0, processed to the CEO...          None   \n",
       "59  Sentinel-1A/B SAR Gamma0, processed to the CEO...          None   \n",
       "60  Sentinel-1A/B SAR Gamma0, processed to the CEO...          None   \n",
       "97  Sentinel-1A/B SAR Gamma0, processed to the GEE...          None   \n",
       "99  Sentinel-1A/B SAR Gamma0, processed to the GEE...          None   \n",
       "80  Sentinel-1A/B SAR Gamma0, processed to the GEE...          None   \n",
       "89  Sentinel-1A/B SAR Gamma0, processed to the Yea...          None   \n",
       "13            Terra Aster -- metre, UTM 36 projection          None   \n",
       "66            Terra Aster -- metre, UTM 36 projection          None   \n",
       "\n",
       "   product_type   lat   lon    platform instrument label  time  format  \\\n",
       "id                                                                       \n",
       "91         tile  None  None      ALOS-2   PALSAR-2  None  None  NetCDF   \n",
       "92         tile  None  None      ALOS-2   PALSAR-2  None  None  NetCDF   \n",
       "93         tile  None  None      ALOS-2   PALSAR-2  None  None  NetCDF   \n",
       "61         tile  None  None      ALOS_2     PALSAR  None  None  NetCDF   \n",
       "65         tile  None  None      ALOS_2   PALSAR_2  None  None  NetCDF   \n",
       "50       gamma0  None  None      ALOS_2     PALSAR  None  None  NetCDF   \n",
       "51       gamma0  None  None      ALOS_2     PALSAR  None  None  NetCDF   \n",
       "52       gamma0  None  None      ALOS_2     PALSAR  None  None  NetCDF   \n",
       "53       gamma0  None  None        ALOS     PALSAR  None  None  NetCDF   \n",
       "54       gamma0  None  None        ALOS     PALSAR  None  None  NetCDF   \n",
       "55       gamma0  None  None        ALOS     PALSAR  None  None  NetCDF   \n",
       "14        daily  None  None         GPM        GPM  None  None  NetCDF   \n",
       "15      monthly  None  None         GPM        GPM  None  None  NetCDF   \n",
       "17       LEDAPS  None  None   LANDSAT_5         TM  None  None  NetCDF   \n",
       "18       LEDAPS  None  None   LANDSAT_5         TM  None  None  NetCDF   \n",
       "85       LEDAPS  None  None   LANDSAT_5        TM1  None  None  NetCDF   \n",
       "19       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "20       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "35       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "87       LEDAPS  None  None   LANDSAT_7       ETM1  None  None  NetCDF   \n",
       "21       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "22       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "74       LEDAPS  None  None   LANDSAT_7       ETM1  None  None  NetCDF   \n",
       "23       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "41       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "24       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "25       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "26       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "27       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "28       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "68       LEDAPS  None  None   LANDSAT_7       ETM1  None  None  NetCDF   \n",
       "75       LEDAPS  None  None   LANDSAT_7       ETM1  None  None  NetCDF   \n",
       "82       LEDAPS  None  None   LANDSAT_7       ETM3  None  None  NetCDF   \n",
       "79       LEDAPS  None  None   LANDSAT_7       ETM3  None  None  NetCDF   \n",
       "29       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "30       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "31       LEDAPS  None  None   LANDSAT_7        ETM  None  None  NetCDF   \n",
       "86        LaSRC  None  None   LANDSAT_8  OLI_TIRS1  None  None  NetCDF   \n",
       "73        LaSRC  None  None   LANDSAT_8  OLI_TIRS1  None  None  NetCDF   \n",
       "32        LaSRC  None  None   LANDSAT_8   OLI_TIRS  None  None  NetCDF   \n",
       "33        LaSRC  None  None   LANDSAT_8   OLI_TIRS  None  None  NetCDF   \n",
       "70        LaSRC  None  None   LANDSAT_8  OLI_TIRS1  None  None  NetCDF   \n",
       "83        LaSRC  None  None   LANDSAT_8  OLI_TIRS1  None  None  NetCDF   \n",
       "77        LaSRC  None  None   LANDSAT_8  OLI_TIRS1  None  None  NetCDF   \n",
       "71        LaSRC  None  None   LANDSAT_8  OLI_TIRS1  None  None  NetCDF   \n",
       "40        LaSRC  None  None   LANDSAT_8   OLI_TIRS  None  None  NetCDF   \n",
       "34        LaSRC  None  None   LANDSAT_8   OLI_TIRS  None  None  NetCDF   \n",
       "57       gamma0  None  None  SENTINEL_1        SAR  None  None  NetCDF   \n",
       "58       gamma0  None  None  SENTINEL_1        SAR  None  None  NetCDF   \n",
       "59       gamma0  None  None  SENTINEL_1        SAR  None  None  NetCDF   \n",
       "60       gamma0  None  None  SENTINEL_1        SAR  None  None  NetCDF   \n",
       "97       gamma0  None  None  SENTINEL_1        SAR  None  None  NetCDF   \n",
       "99       gamma0  None  None  SENTINEL_1        SAR  None  None  NetCDF   \n",
       "80       gamma0  None  None  SENTINEL_1        SAR  None  None  NetCDF   \n",
       "89      gamma_0  None  None   SENTINEL1        SAR  None  None  NetCDF   \n",
       "13      GDEM_V2  None  None       TERRA      ASTER  None  None  NetCDF   \n",
       "66      GDEM_V2  None  None       TERRA      ASTER  None  None  NetCDF   \n",
       "\n",
       "          crs                                     resolution  \\\n",
       "id                                                             \n",
       "91  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "92  EPSG:4326  [-0.000226039783001808, 0.000231481481481481]   \n",
       "93  EPSG:4326   [-0.00022583559168925, 0.000241312741312741]   \n",
       "61  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "65  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "50  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "51  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "52  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "53  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "54  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "55  EPSG:4326            [-0.0002666666667, 0.0002666666667]   \n",
       "14  EPSG:4326                                    [-0.1, 0.1]   \n",
       "15  EPSG:4326                                    [-0.1, 0.1]   \n",
       "17  EPSG:4326                    [-0.000270861, 0.000294834]   \n",
       "18  EPSG:4326                     [-0.000271152, 0.00027769]   \n",
       "85  EPSG:4326                    [-0.000269493, 0.000269493]   \n",
       "19  EPSG:4326                    [-0.000271302, 0.000269995]   \n",
       "20  EPSG:4326                    [-0.000270861, 0.000294834]   \n",
       "35  EPSG:4326                    [-0.000270861, 0.000294834]   \n",
       "87  EPSG:4326        [-0.000269494585236, 0.000269494585236]   \n",
       "21  EPSG:4326                    [-0.000271307, 0.000269505]   \n",
       "22  EPSG:4326        [-0.000269494585236, 0.000269494585236]   \n",
       "74  EPSG:4326  [-0.000271141072802191, 0.000278249126645553]   \n",
       "23  EPSG:4326                    [-0.000269493, 0.000269493]   \n",
       "41  EPSG:4326                    [-0.000269493, 0.000269493]   \n",
       "24  EPSG:4326                     [-0.000271152, 0.00027769]   \n",
       "25  EPSG:4326                    [-0.000271297, 0.000270148]   \n",
       "26  EPSG:4326                    [-0.000270523, 0.000319227]   \n",
       "27  EPSG:4326                [-0.00027129679, 0.00027014858]   \n",
       "28  EPSG:4326                    [-0.000271285, 0.000270849]   \n",
       "68  EPSG:4326                    [-0.000270961, 0.000280452]   \n",
       "75  EPSG:4326                    [-0.000270676, 0.000307499]   \n",
       "82  EPSG:4326                    [-0.000269493, 0.000269493]   \n",
       "79  EPSG:4326  [-0.000269856975802825, 0.000394197414064964]   \n",
       "29  EPSG:4326                    [-0.000271285, 0.000270971]   \n",
       "30  EPSG:4326                    [-0.000270961, 0.000280452]   \n",
       "31  EPSG:4326        [-0.000269494585236, 0.000269494585236]   \n",
       "86  EPSG:4326        [-0.000269494585236, 0.000269494585236]   \n",
       "73  EPSG:4326  [-0.000271141072802191, 0.000278249126645553]   \n",
       "32  EPSG:4326                     [-0.000271152, 0.00027769]   \n",
       "33  EPSG:4326                [-0.00027129679, 0.00027014858]   \n",
       "70  EPSG:4326                    [-0.000270961, 0.000280452]   \n",
       "83  EPSG:4326                    [-0.000269493, 0.000269493]   \n",
       "77  EPSG:4326  [-0.000269856975802825, 0.000394197414064964]   \n",
       "71  EPSG:4326                    [-0.000270961, 0.000280452]   \n",
       "40  EPSG:4326        [-0.000269494585236, 0.000269494585236]   \n",
       "34  EPSG:4326        [-0.000269494585236, 0.000269494585236]   \n",
       "57  EPSG:4326              [-0.000269715032, 0.000269715032]   \n",
       "58  EPSG:4326              [-0.000269715032, 0.000269715032]   \n",
       "59  EPSG:4326              [-0.000269715032, 0.000269715032]   \n",
       "60  EPSG:4326              [-0.000269715032, 0.000269715032]   \n",
       "97  EPSG:4326  [-0.000180831826401447, 0.000179533213644524]   \n",
       "99  EPSG:4326  [-0.000180831826401447, 0.000184842883548983]   \n",
       "80  EPSG:4326                    [-0.000269493, 0.000269493]   \n",
       "89  EPSG:4326  [-0.000180831826401447, 0.000180831826401447]   \n",
       "13  EPSG:4326                    [-0.000271285, 0.000270849]   \n",
       "66  EPSG:4326                    [-0.000271285, 0.000270849]   \n",
       "\n",
       "                                 tile_size     spatial_dimensions  \n",
       "id                                                                 \n",
       "91            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "92                                  [1, 1]  (latitude, longitude)  \n",
       "93                                  [1, 1]  (latitude, longitude)  \n",
       "61            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "65            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "50            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "51            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "52            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "53            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "54            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "55            [0.5333333334, 0.5333333334]  (latitude, longitude)  \n",
       "14                               [90, 180]  (latitude, longitude)  \n",
       "15                               [90, 180]  (latitude, longitude)  \n",
       "17                    [0.812583, 0.884502]  (latitude, longitude)  \n",
       "18                     [0.813456, 0.83307]  (latitude, longitude)  \n",
       "85                [0.99981903, 0.99981903]  (latitude, longitude)  \n",
       "19                    [0.813906, 0.809985]  (latitude, longitude)  \n",
       "20                    [0.812583, 0.884502]  (latitude, longitude)  \n",
       "35                    [0.812583, 0.884502]  (latitude, longitude)  \n",
       "87        [0.538989170472, 0.538989170472]  (latitude, longitude)  \n",
       "21                  [0.9495745, 0.9432675]  (latitude, longitude)  \n",
       "22        [0.943231048326, 0.943231048326]  (latitude, longitude)  \n",
       "74  [0.999968276494482, 0.999470862910829]  (latitude, longitude)  \n",
       "23                [0.99981903, 0.99981903]  (latitude, longitude)  \n",
       "41              [0.249820011, 0.249820011]  (latitude, longitude)  \n",
       "24                     [0.813456, 0.83307]  (latitude, longitude)  \n",
       "25                    [0.813891, 0.810444]  (latitude, longitude)  \n",
       "26                  [0.9468305, 1.1172945]  (latitude, longitude)  \n",
       "27            [0.49999998397, 0.499774873]  (latitude, longitude)  \n",
       "28                  [0.9494975, 0.9479715]  (latitude, longitude)  \n",
       "68                    [0.812883, 0.841356]  (latitude, longitude)  \n",
       "75              [0.999877144, 0.999986748]  (latitude, longitude)  \n",
       "82                [0.99981903, 0.99981903]  (latitude, longitude)  \n",
       "79  [0.999550238373662, 0.999684642068748]  (latitude, longitude)  \n",
       "29                    [0.813855, 0.812913]  (latitude, longitude)  \n",
       "30                    [0.812883, 0.841356]  (latitude, longitude)  \n",
       "31        [0.943231048326, 0.943231048326]  (latitude, longitude)  \n",
       "86        [0.538989170472, 0.538989170472]  (latitude, longitude)  \n",
       "73  [0.999968276494482, 0.999470862910829]  (latitude, longitude)  \n",
       "32                     [0.813456, 0.83307]  (latitude, longitude)  \n",
       "33            [0.49999998397, 0.499774873]  (latitude, longitude)  \n",
       "70                    [0.812883, 0.841356]  (latitude, longitude)  \n",
       "83                [0.99981903, 0.99981903]  (latitude, longitude)  \n",
       "77  [0.999550238373662, 0.999684642068748]  (latitude, longitude)  \n",
       "71                    [0.812883, 0.841356]  (latitude, longitude)  \n",
       "40        [0.943231048326, 0.943231048326]  (latitude, longitude)  \n",
       "34        [0.943231048326, 0.943231048326]  (latitude, longitude)  \n",
       "57              [0.809145096, 0.809145096]  (latitude, longitude)  \n",
       "58              [0.809145096, 0.809145096]  (latitude, longitude)  \n",
       "59              [0.809145096, 0.809145096]  (latitude, longitude)  \n",
       "60              [0.809145096, 0.809145096]  (latitude, longitude)  \n",
       "97                                  [1, 1]  (latitude, longitude)  \n",
       "99                                  [1, 1]  (latitude, longitude)  \n",
       "80                [0.99981903, 0.99981903]  (latitude, longitude)  \n",
       "89                                  [1, 1]  (latitude, longitude)  \n",
       "13                  [0.9494975, 0.9479715]  (latitude, longitude)  \n",
       "66                  [0.9494975, 0.9479715]  (latitude, longitude)  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List NetCDF products\n",
    "print(\"NetCDF Products:\")\n",
    "products_info = dc.list_products()\n",
    "netCDF_products = products_info[products_info['format'] == 'NetCDF']\n",
    "netCDF_products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "platform = \"LANDSAT_7\"\n",
    "product = \"ls7_ledaps_colombia\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span id=\"extents\">Get the Maximum Extents of the Cube [&#9652;](#top)</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lat bounds: (-0.9463188159999998, 2.402423485)\n",
      "Lon bounds: (-76.51785960000001, -74.04569023500001)\n",
      "Time bounds: (datetime.datetime(2000, 1, 3, 15, 6, 45), datetime.datetime(2015, 12, 14, 15, 15, 6))\n"
     ]
    }
   ],
   "source": [
    "from utils.data_cube_utilities.dc_load import get_product_extents\n",
    "\n",
    "full_lat, full_lon, min_max_dates = get_product_extents(api, platform, product)\n",
    "\n",
    "print(\"Lat bounds:\", full_lat)\n",
    "print(\"Lon bounds:\", full_lon)\n",
    "print(\"Time bounds:\", min_max_dates) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fec0451de80>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from utils.data_cube_utilities.dc_display_map import display_map\n",
    "\n",
    "# Display the total shared area available for these datacube products.\n",
    "display_map(latitude = full_lat,longitude = full_lon)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span id=\"define_extents\">Define the Extents of the Analysis [&#9652;](#top)</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Specify start and end dates in the same order as platforms and products**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "time_extents = ('2000-01-01', '2015-12-31')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Specify an area to analyze**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "######### Bangladesh ############################\n",
    "# longitude_extents = (90.031428,  90.040565) \n",
    "# latitude_extents  = ( 25.225266, 25.232605)\n",
    "\n",
    "######### Colombia - Cartegena ##################\n",
    "# longitude_extents = ( -74.8567, -74.8318 )\n",
    "# latitude_extents = (1.326481586145379,  1.3424)\n",
    "latitude_extents =  ( 1.3255, 1.33) \n",
    "longitude_extents =  (-74.8567, -74.8422)\n",
    "\n",
    "######## Ghana ##################\n",
    "#longitude_extents = (  -2.2622,  -2.2039)\n",
    "#latitude_extents = (8.2390, 8.2867) \n",
    "\n",
    "#latitude_extents = (8.2631, 8.2834)\n",
    "#longitude_extents = (-2.2486, -2.2229)\n",
    "\n",
    "# longitude_extents = (-2.4026, -2.3484)\n",
    "# latitude_extents = ( 8.1386,  8.1872)\n",
    "\n",
    "# ######### Vietnam ################## \n",
    "# longitude_extents = (108.02, 108.15) # Buan Tau Sanh Lake\n",
    "# latitude_extents  = (12.18 , 12.30) # Buan Tau Sanh Lake\n",
    "\n",
    "# longitude_extents = (108.02, 108.03)\n",
    "# latitude_extents  = (12.18 , 12.19) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Visualize the selected area**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe 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style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7febfdde9be0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_map(latitude = latitude_extents, longitude = longitude_extents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span id=\"retrieve_data\">Load Data from the Data Cube[&#9652;](#top)</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils.data_cube_utilities.dc_load import load_simple\n",
    "# landsat_dataset, clean_mask, masks = \\\n",
    "#     load_simple(dc,\n",
    "#                 load_params=dict(latitude = latitude_extents, \n",
    "#                                  longitude = longitude_extents,\n",
    "#                                  time=time_extents,\n",
    "#                                  measurements = ['red', 'green', 'blue', 'nir', 'swir1', 'swir2', 'pixel_qa']),\n",
    "#                 platform = platform, product = product)\n",
    "# del clean_mask, masks\n",
    "landsat_dataset = dc.load(latitude = latitude_extents,\n",
    "                          longitude = longitude_extents,\n",
    "                          time=time_extents,\n",
    "                          platform = platform,\n",
    "                          product = product,\n",
    "                          measurements = ['red', 'green', 'blue', 'nir', 'swir1', 'swir2', 'pixel_qa']) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Examining the size of our extent.  \n",
    "> The compute time of pyCCD scales sharply with extent sizes. Seemingly small areas can take anywhere from 10-15 minutes to process."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 18, longitude: 55, time: 152)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2000-02-20T15:06:11 ... 2015-11-28T15:14:26\n",
       "  * latitude   (latitude) float64 1.33 1.33 1.33 1.329 ... 1.326 1.326 1.325\n",
       "  * longitude  (longitude) float64 -74.86 -74.86 -74.86 ... -74.84 -74.84 -74.84\n",
       "Data variables:\n",
       "    red        (time, latitude, longitude) int16 1105 913 701 ... 447 556 775\n",
       "    green      (time, latitude, longitude) int16 1171 1019 890 ... 713 803 1017\n",
       "    blue       (time, latitude, longitude) int16 915 815 674 654 ... 482 483 765\n",
       "    nir        (time, latitude, longitude) int16 3372 3372 3493 ... 4408 4407\n",
       "    swir1      (time, latitude, longitude) int16 2677 2415 2368 ... 2044 2182\n",
       "    swir2      (time, latitude, longitude) int16 1428 1154 1053 ... 630 812 1030\n",
       "    pixel_qa   (time, latitude, longitude) int32 96 96 66 66 66 ... 66 66 66 66\n",
       "Attributes:\n",
       "    crs:      EPSG:4326"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "landsat_dataset\n",
    "#view the dimensions and sample content from the cube"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span id=\"run_pyccd\">Run PyCCD[&#9652;](#top)</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">### Import Library  \n",
    "The library exposes three functions: `process_xarray`, `process_pixel`, `plot_pixel`  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import utils.data_cube_utilities.dc_ccd as ccd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Timed Calculation of change volume  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4.62 s, sys: 106 ms, total: 4.72 s\n",
      "Wall time: 2min 6s\n"
     ]
    }
   ],
   "source": [
    "%time ccd_product = ccd.process_xarray(landsat_dataset, distributed = True) #Run process xarray on large dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span id=\"plot_cng_det_dates\">Plot Change Volume and Detection Dates[&#9652;](#top)</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ## Plotting change volume  \n",
    "> Plot change volume to identify regions/areas of change"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "def figure_ratio(ds, fixed_width = 22):\n",
    "    width = fixed_width\n",
    "    height = len(ds.latitude) * (fixed_width / len(ds.longitude))\n",
    "    return (width, height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1584x518.4 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import  matplotlib.pyplot as plt  \n",
    "\n",
    "plt.figure(figsize = figure_ratio(ccd_product))\n",
    "ccd_product.plot()\n",
    "plt.axes().set_aspect(\"equal\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ## Time of first changes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 6.82 s, sys: 64.4 ms, total: 6.88 s\n",
      "Wall time: 1min 59s\n"
     ]
    }
   ],
   "source": [
    "%time time_map_ccd_product = ccd.process_xarray(landsat_dataset, distributed = True, process = \"first\") #Run process xarray on large dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Plot Detection Dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CdM17tFAyGmzfeujUulOQNkrP3LBgwDHGHLxrgUyAlc+UiVPIiGPOqTuFtZTKp0SBaqj59O/K/B8ziw8tV4wu4fCdyhSWPn//0CmM/9eT3+Wpp/9QdxoaYrry2bpTWG+lClSSNBwMjyKVJEmSJEnS+si0k6rD3DhdkiRJkiRJtbOTSpIkSZIkqZ20k6qTLFJJkiRJkiS1SCC76s5ieHG5nyRJkiRJkmpnJ5UkSZIkSVKrxI3TO8xOKkmSJEmSJNXOTipJkiRJkqR27KTqKItUkiRJkiRJbbhxeme53E+SJEmSJEm1s5NKkiRJkiSplRund5ydVJIkSZIkSe10FT76EBGTI+IXEXFPRNwdESdU4+Mi4vqImFu9bluN7x4RN0XEMxHxiZZYF0XEooi4q497HhQRv4+IeRFxctP4hRFxe0TcERE/iIgte5h/RkTMj4gVLeMfjog7I2J2RNwYEVP7+v4WqSRJkiRJkoaG1cBJmTkV2A84rirunAzMyMxdgRnVZ4ClwEeBf24T62LgoN5uFhEjgX8DDgamAoc1FZM+lpl7ZuYewIPA8T2E+RGwT5vx72Xmn2fmNOArwNd6ywUsUkmSJEmSJK0rk+wqe/R9y1yYmbdV75cDc4CJwCHAJdVllwDvrK5ZlJm3AKvaxLqBRhGrN/sA8zLz/sx8FriiuheZuQwgIgLYjMYCyHY5z8zMhW3GlzV93KKn+c0sUkmSJEmSJA0xETEF2Au4GdixqRD0CLBjodtMBOY3fV5QjXXn8O3qfrsD31jf4BFxXETcR6OT6qN9XW+RSpIkSZIkqZ3ye1KNj4hZTcex7W5b7f90FXBiS0cSmZn0oyuphMw8GtiZRkfXe5/H/H/LzBcDnwY+19f1Pt1PrPz7wwccY/SUMQOO8ewfnxlwDIAVi0YViXPj/TsXiTPUTNjs6SJxLn9gbJE4//rAKUXibKzO2v20Acf46JsKJLIRe/f4zxeJc9Xi04vE2RgtOKTt373W26Qfnl8kjrQxWHzo0XWnsJbxV3y77hQkaXCULwUtzszpvV0QEaNoFKguy8yrq+E/RcSEzFwYEROARc/n5hExmcYeUgDnAbcDk5sumQQ81DwnM9dExBXApyLiUuDW6tS1mdnff9BdAZzb10UWqTZQz/xkbpE4+WyRMJKabHd5mb+olyhQAYzeZdMicdYsGnghedWMeQUygU1eXKZI+jcnb1skzsbq0BlbDzjGd9+wvEAmQ0+pf5B/b+9Ti8SZsOmaInEumHoE77vti0ViSWqYvfSCulPQMDdyxP51p6D1UO3/dCEwJzObNxq/FjgSOLN6/eHziZ+Z84FpTffbBNg1Il5Eozh1KPC+Ko8XZ+a86v07gN9l5prm+X18l10zs7t48Tagz0KGRSpJkiRJkqRWSb82Oy/sNcDhwJ0RMbsa+wcaxakrI+KDwAPAewAiYidgFjAW6IqIE4GpmbksIi4H9qexxHABcGpmXth8s8xcHRHHAz8FRgIXZebdETECuCQixgJBo+Pq79olHBFfAd4HbF7d54LM/AJwfEQcSGNT98doFNd6ZZFKkiRJkiSpna7O3i4zb6RRFGrngDbXP0JjiV67WIf1854/Bn7cMtZFo2DWn/mfAj7VZvyE/sxv5sbpkiRJkiRJqp2dVJIkSZIkSW1khzuphrtB66SKiIsiYlFE3NXD+UMi4o6ImF09dvG11fi0iLgpIu6uzr+3ac4bI+K2iLgrIi6pNviSJEmSJEnSBm4wl/tdDBzUy/kZwJ6ZOQ34W6D7sRdPAUdk5suq+V+PiG26N+0CDs3Ml9PYKKzPTbckSZIkSZLWW9LYk6rkoV4NWpEqM28AlvZyfkVmdm+TvwWN334y897uRxRm5sPAImB7YDvg2cy8t5pzPfDuQUpfkiRJkiQNY0ljuV/JQ72rdeP0iHhXRPwOuI5GN1Xr+X2A0cB9wGJgk4iYXp3+a2ByL7GPrZYRznp02VPlk5ckSZIkSVIxtRapMvOazNwdeCdwevO5iJgAfAc4OjO7qq6rQ4F/iYjfAMuBNb3EPj8zp2fm9O3Hbj54X0KSJEmSJG18XO7XcUNi4/HMvCEidomI8Zm5OCLG0uiu+mxmzmy67ibgdQAR8WZgt3oyliRJkiRJUkm1dVJFxEsiIqr3ewNjgCURMRq4Brg0M3/QMmeH6nUM8GngvM5mLUmSJEmShovMsod6N2idVBFxObA/MD4iFgCnAqMAMvM8GpueHxERq4CVwHszMyPiPcDrge0i4qgq3FGZORv4ZES8nUZx7dzM/Plg5S9JkiRJkoY3NzvvrEErUmXmYX2cPws4q834d4Hv9jDnk8AniyQoSZIkSZKkIWNI7EklSZIkSZI0pHRvnK6OsUglSZIkSZLUhsv9Oqu2jdMlSZIkSZKkbnZSSarVzNd/YsAxbn1sqwKZwM6brioS597lo4vEkaQ6jN1iat0pPGfZk/fUnYIkaZjziXydNTyKVKNGwg7jBhTiiSsXFkqmjDWrRxWJ8+SKMUXiPHrH5kXilDB65Jq6U1jLw0+X+b0qZdLmK4vE2W3swH9av2Lb5QUyUV/++ZuT605hLZ/+3Sl1p/CcH0w5re4UhrQrDniiSJydrrqgSJyN0esnl/n7xfKVZf483/d/ZxSJo8E3/opv152CJEnFDY8ilSRJkiRJ0vpIoCvqzmJYsUglSZIkSZLUInHj9E5z43RJkiRJkiTVzk4qSZIkSZKkdQSZLvfrJDupJEmSJEmSVDs7qSRJkiRJklqle1J1mkUqSZIkSZKkNixSdZbL/SRJkiRJklQ7O6kkSZIkSZJaJLhxeodZpJIkSZIkSWqVkF0WqTrJ5X6SJEmSJEmqnZ1UkiRJkiRJbWTWncHwYieVJEmSJEmSamcnlSRJkiRJUhtunN5ZFqkkSZIkSZLacOP0znK5nyRJkiRJkmpnJ5UkSZIkSVKLTDdO77RhUaTKx1byzA/uGFCMNatHFcqmjJGbdBWJ88TKMUXijB65pkicoWSXrVYUibPXDs8UiXPdgzsVifP0mpFF4pRw62NbFYmz86arisS5d/noInF22+rZInFK5aOedd3+YLFYIw8sFmrI2OmqC+pOYaN3w/wJReK8/7f/WCQOQGaZn6mSJG34wj2pOszlfpIkSZIkSardsOikkiRJkiRJWl9dbpzeUXZSSZIkSZIkqXZ2UkmSJEmSJLVy4/SOs0glSZIkSZLUIsGN0zvM5X6SJEmSJEmqnZ1UkiRJkiRJbdhJ1Vl2UkmSJEmSJA0BETE5In4REfdExN0RcUI1Pi4iro+IudXrttV4RMTZETEvIu6IiL2bYp0VEXdVx3t7ueeRVdy5EXFk0/hhEXFnFfe/ImJ8D/MviohFEXFXy/jfVN+hKyKm9+f7W6SSJEmSJElqoyuj6NEPq4GTMnMqsB9wXERMBU4GZmTmrsCM6jPAwcCu1XEscC5ARLwN2BuYBuwLfCIixrbeLCLGAadW1+wDnBoR20bEJsC/An+RmXsAdwDH95DzxcBBbcbvAv4KuKE/XxwsUkmSJEmSJK0rg+wqe/R5y8yFmXlb9X45MAeYCBwCXFJddgnwzur9IcCl2TAT2CYiJgBTgRsyc3VmPkmjyNSukPQW4PrMXJqZjwHXV9dFdWwREQGMBR7uIecbgKVtxudk5u/7/NJNLFJJkiRJkiQNMRExBdgLuBnYMTMXVqceAXas3k8E5jdNW1CN3Q4cFBGbV8v0/gKY3OY2bedn5irg74A7aRSnpgIXDvxb9c4ilSRJkiRJUosEMssewPiImNV0HNvu3hGxJXAVcGJmLlsrr8ys0us598z/Bn4M/Bq4HLgJWNPf7x4Ro2gUqfYCdqbRifWZ/s5/vixSSZIkSZIktTEIe1ItzszpTcf5rfesCkRXAZdl5tXV8J+qZXxUr4uq8YdYu0NqUjVGZp6RmdMy8000lu7dGxH7RsTs6nhHL/OnVTHuq4piVwKvrjZ2757/4QK/xGvZpHRASZIkSZIkrb9q/6cLgTmZ+bWmU9cCRwJnVq8/bBo/PiKuoLH5+ROZuTAiRgLbZOaSiNgD2AP478xcTVWAqu43DvjH7qcFAm+m0TG1KTA1IrbPzEeBN1U5zW+eX5pFKkmSJEmSpDayf0/kK+k1wOHAnRExuxr7BxrFqSsj4oPAA8B7qnM/Bt4KzAOeAo6uxkcB/9OoebEM+EBVoFpLZi6NiNOBW6qh0zJzKUBEfBG4ISJWVfc8ql3CEXE5sD+NpYwLgFMz88KIeBfwDWB74LqImJ2Zb+nty1ukkiRJkiRJGgIy80YaS/PaOaDN9Qkc12b8aRqbnffnnhcBF7UZPw84rx/zD+th/Brgmv7k0M0ilSSpo87a/bQBx/jQK+4vkAlsvbd/DEqSJKm9hO59pNQhw+Jv59kF+WzdWTSM3KSrSJxlj29WJM7Wmz1TJE4J85/Yqu4UhrTXbv8Ye/7863Wn8X9e+6kBh1j8zOgCicC9y8vEKWWo5fOxd80rEudfrnlJkThDya+vGVcs1utOKhZKw8j7bvtimTiUiSNJkppkLcv9hjWf7idJkiRJkqTaDYtOKkmSJEmSpPVVZi2U+ssilSRJkiRJ0jrC5X4d5nI/SZIkSZIk1c5OKkmSJEmSpBY+3a/z7KSSJEmSJElS7eykkiRJkiRJasM9qTrLIpUkSZIkSVIbXVl3BsOLy/0kSZIkSZJUOzupJEmSJEmSWmS63K/T7KSSJEmSJElS7eykkiRJkiRJaqMLO6k6ySKVJEmSJElSG+nG6R3lcj9JkiRJkiTVzk4qSZIkSZKkFknQ5cbpHWWRSpIkSZIkqQ33pOqsQStSRcRFwNuBRZn58jbnDwFOB7qA1cCJmXljREwDzgXGAmuAMzLz36s5BwD/RGOZ4grgqMycN1jfQRpq/ue1n6o7BUk9WPn3hxeJs9k3vjPgGGv+5UMFMmkY+bFvFYslSdJwcMsbTioW65W/+mqxWNKGYDA7qS4GzgEu7eH8DODazMyI2AO4EtgdeAo4IjPnRsTOwK0R8dPMfJxG8eqQzJwTER8BPgcc1VciXWuClUtHDujLjNyka0Dzu22+05oicWBlkSi/undSkTjjxzxbJM5QMnb00PpOy54dXXcKa3n1u5YOOMZd121ZIBN4+Olti8QpZZ9xy4rE2fPVjxaJM+fmcUXifOgV9xeJM+6yi4vEKeF1heKUKlBJkiRpaHHj9M7q18bpEbFbRMyIiLuqz3tExOd6m5OZNwA9/is2M1dkPvfbvQWQ1fi9mTm3ev8wsAjYvnsajQ4rgK2Bh/uTvyRJkiRJkoa2/nZSfQv4JPBNgMy8IyK+B3xpIDePiHcBXwZ2AN7W5vw+wGjgvmroGODHEbESWAbsN5D7S5IkSZIktZPgxukd1q9OKmDzzPxNy9jqgd48M6/JzN2Bd9LYn+o5ETEB+A5wdGZ2r7X7GPDWzJwEfBv4Wk+xI+LYiJgVEbOWPP30QFOVJEmSJEnDTBJFD/Wuv0WqxRHxYqoleRHx18DCUklUSwN3iYjxVfyxwHXAZzNzZjW2PbBnZt5cTft34NW9xDw/M6dn5vTtNt20VKqSJEmSJEkaBP1d7ncccD6we0Q8BPwB+MBAbhwRLwHuqzZO3xsYAyyJiNHANcClmfmDpimPAVtHxG6ZeS/wJmDOQHKQJEmSJElqK6HLjdM7ql9Fqsy8HzgwIrYARmTm8r7mRMTlwP7A+IhYAJwKjKrinQe8GzgiIlbReFTde6uC1XuA1wPbRcRRVbijMnN2RHwIuCoiumgUrf62/19VkiRJkiSpf9yTqvN6LVJFxMd7GAcgM3vcEyozD+stdmaeBZzVZvy7wHd7mHMNjS4rSZIkSZIkbUT66qTaqnr9M+CVwLXV578EWjdSlyRJkiRJ2ki42Xmn9VqkyswvAkTEDcDe3cv8IuILNDY2lyRJkiRJkgasvxun7wg82/T52WpMkiRJkiRpo+TG6Z3V3yLVpcBvIqJ7P6h3ApcMTkqSJEmSJEn1c7lfZ/X36X5nRMRPgNdVQ0dn5m8HLy1JkiRJkiQNJ/0qUkXEC4DFND1ZLyJekJkPDlZikiRJkiRJdUlc7tdp/V3udx2N3x+AzYAXAb8HXjYYSUmSJEkxBo1fAAAgAElEQVSSJGl46e9yvz9v/hwRewMfGZSMJEmSJEmShoCudE+qTupvJ9VaMvO2iNi3dDKSJEmSJElDhav9Oqu/e1J9vOnjCGBv4OFByUiSpA5Z+feH153COp79zBEDjjFyhzEFMilj7BZTi8Va9uQ9xWJJkur3V9t9vkicp7tWF4mz69jNisT5wJQiYaRhqb+dVFs1vV9NY4+qq8qnMzi6Vo9g2eMD+4Gz0+4riuQy5q/3KBKHH9xRJMwbWFAkzuY7rRlwjEd+t2WBTOCR5VsUiTN5wuNF4sxfuE2ROJO3Xl4kzhMry/zj9a7ryvx+lfDa7R9jz59/fcBxrnnl5wpkAwue2ox33fKlAccplc8uW5X5+bXt519dJI56NnLLMu3ksfmoInEkSdL6++4ft+ZfHzil7jRUQKbL/Tqtv0WqezLz+80DEfE3wPd7uF6SJEmSJGmD1lV3AsPMiH5e95l+jkmSJEmSJEnrrddOqog4GHgrMDEizm46NZbGsj9JkiRJkqSNUrrcr6P6Wu73MDALeAdwa9P4cuBjg5WUJEmSJEmShpdel/tl5u2ZeQnw4sy8pOm4OjMf61COkiRJkiRJHZU09qQqefQlIiZHxC8i4p6IuDsiTqjGx0XE9RExt3rdthqPiDg7IuZFxB0RsXdTrK9UMeZU17RtC4uIz1Tzfx8Rb2kavygiFkXEXX3k3Pa6nnLuTa9Fqoi4snr72+rLrnX0FVySJEmSJGlD1ZVlj35YDZyUmVOB/YDjImIqcDIwIzN3BWZUnwEOBnatjmOBcwEi4tXAa4A9gJcDrwTe0HqzKvahwMuAg4D/FxEjq9MXV2N96em6nnLuUV/L/U6oXt/ej6QkSZIkSZL0PGXmQmBh9X55RMwBJgKHAPtXl10C/BL4dDV+aWYmMDMitomICTQawTYFRgMBjAL+1OaWhwBXZOYzwB8iYh6wD3BTZt4QEVP6kXNP1/WUc4/6Wu63sHr7kcx8oPkAPtJXopIkSZIkSRumIAsfwPiImNV0HNvj3RuFn72Am4Edm2o0jwA7Vu8nAvObpi0AJmbmTcAvaBS8FgI/zcw5bW7Tdv56/kL1pKece9RrkarJm9qMHdzfrCRJkiRJksTizJzedJzf7qKI2BK4CjgxM5c1n6u6pnpdPBgRLwFeCkyiUXR6Y0S8rsg3eB76kzP0vSfV30XEncCftexH9QfAPakkSZIkSdJGKallTyoiYhSNAtVlmXl1Nfynahkf1euiavwhYHLT9EnV2LuAmZm5IjNXAD8BXhUR74qI2dUxvZf5PeU2uWn+h/v4Kj3l3KO+Oqm+B/wlcG312n28IjM/0FdwSZIkSZKkDdUgLPfrVfUEvguBOZn5taZT1wJHVu+PBH7YNH5E9ZS//YAnqiV2DwJviIhNqqLXG6qY12TmtOqYVc0/NCLGRMSLaGzA/psefz0y5zfNP6+Pr9NTzj3qa0+qJzLzj5l5WLUP1UoaxcQtI+IFfQWXJEmSJElSv70GOJzG8rzujqW3AmcCb4qIucCB1WeAHwP3A/OAb/F/+4f/ALgPuBO4Hbg9M3/UerPMvBu4ErgH+C/guMxcAxARlwM30VhdtyAiPtgu4V6u6ynnHvX1dL/uG/4l8DVgZxrtWS8E5tB4RKEkSZIkSdJGp79L9ErJzBuhx5arA9pcn8BxbcbXAP9fP+95BnBGm/HD+jm/7XWZuYQ2OfemvxunfwnYD7g3M19U3WTm+txIkiRJkiRpQ5GF96PqdMFrQ9TfItWqqgI2IiJGZOYvgOmDmJckSZIkSZKGkX4t9wMerx5/eANwWUQsAp4cvLQkSZIkSZLq1Z/NzlVOf4tUhwBPAx8D3g9sDZw2WElJ0vq65Q0nFYiyWYEYDd/b+9QBx9hsZIFEpAHKn/nHvSQNxB/f9nfFYk257txisTS4Fh96dJE446/4dpE40oaiX0WqzGzumrpkkHIZNKu6RvDI8i0GFGPsIyvLJPODO8rEKWTzndbUncJzfrtouyJxth29ukicX907qUicvXZYUiROKVtv9kzdKTzn0RWb153CWnbZakWROHc/vnWROPcuH10kzi5bFQnDY6f/ukiccZcdWyROCaOnjCkSZ8Se5R54GweeUizWQJUoUD1x3fsLZCJJ2hhdveT0InFu3f/jReK8aOLCInG61th5szFxH6nO6rVIFRHLgXa/JUFjE/mxg5KVJEmSJElSjRLoqjuJYabXIlVmFvr/3yVJkiRJkqSe9XdPKkmSJEmSpGEl0+WbnWSRSpIkSZIkqYXL/TpvRN0JSJIkSZIkSXZSSZIkSZIkteHT/TrLTipJkiRJkiTVzk4qSZIkSZKkNmyk6iyLVJIkSZIkSS0S6PLpfh3lcj9JkiRJkiTVzk4qSZIkSZKkNlzu11l2UkmSJEmSJKl2dlJJkiRJkiS1SuiylaqjLFJJkiRJkiS1SKCr7iSGGZf7SZIkSZIkqXZ2UkmSJEmSJLWRLvfrKItUkiRpg5A/+myROPGXZxSJI0nShmDcVtPqTmEDFnQRdScxrFikGuZ+csMLi8Q5+PUPDDjGhM2eLpAJLFy5aZE4e+2wpEicR5ZvUSTOTls9WSTOkic3KxKnhDU5tH7g3798yyJxHltVZiX1h/e7r0icPz64bZE4W++98f2RMfKkC+pOYUiLA08ZcIz82WkFMgFWPlMmjiR12JTrzq07hY3eqq4yf/e6d/74InEuvG+rInEAvlUskrRh2Pj+xSFJkiRJklSAy/06y43TJUmSJEmSVDs7qSRJkiRJklok0FV3EsOMRSpJkiRJkqQ2ulzu11Eu95MkSZIkSVLt7KSSJEmSJElqw0aqzrJIJUmSJEmS1CJxuV+nudxPkiRJkiRJtbOTSpIkSZIkqVVC2knVUXZSSZIkSZIkqXaDVqSKiIsiYlFE3NXD+UMi4o6ImB0RsyLitdX4tIi4KSLurs6/t2nO/1TXz46IhyPiPwYrf0mSJEmSNLx1FT7Uu8Fc7ncxcA5waQ/nZwDXZmZGxB7AlcDuwFPAEZk5NyJ2Bm6NiJ9m5uOZ+bruyRFxFfDDQcxfkiRJkiQNU26c3nmD1kmVmTcAS3s5vyLzudWdW1A92TEz783MudX7h4FFwPbNcyNiLPBGwE4qSZIkSZKkjUCtG6dHxLuALwM7AG9rc34fYDRwX8updwIzMnPZoCcpSZIkSZKGJRupOqvWjdMz85rM3J1G0en05nMRMQH4DnB0ZrYu3TwMuLy32BFxbLXX1azHVz1VMm1JkiRJkiQVNiSe7lctDdwlIsbDc8v5rgM+m5kzm6+trtmnOt9bzPMzc3pmTt9m1OaDlLkkSZIkSdpYdWXZQ72rbblfRLwEuK/aOH1vYAywJCJGA9cAl2bmD9pM/WvgPzPz6Q6mK0kqJH92Wt0prCUOPKXuFCQNIyV/BvrzS9r4nfDCofX3puEmgSTqTmNYGbQiVURcDuwPjI+IBcCpwCiAzDwPeDdwRESsAlYC760KVu8BXg9sFxFHVeGOyszZ1ftDgTPXJ5cxo1ez2+TFA/o+a1aXaTp76pEiYdh8pzVF4mw7enWRODNnThxwjP32e6hAJsAtOxYJ89tF2xWJ845Dy/ymL/hlmf9cV3UNiQZKAHba6skicZ5YOaZInOkTHi0SZ8eXrSwSZ+XCMn8gTtzhiSJxHrsFxl/x7QHFGGoFKnXAk2X+e5AkqSdPr6l1q+V1/Pvj/14kztHjDy0S5w/v3rNInG0uub1IHKk3g/l0v8Myc0JmjsrMSZl5YWaeVxWoyMyzMvNlmTktM1+VmTdW49+t5kxrOmY3xd0/M/9rsPKWJEmSJEmCzi/3i4jJEfGLiLgnIu6OiBOq8XERcX1EzK1et63GIyLOjoh5EXFHtVKtO9YLIuK/I2JOFW9KD/c8soo7NyKObBofHRHnR8S9EfG7iHh3D/PPiIj5EbGiZfz1EXFbRKyOiL/u+9sPkT2pJEmSJEmShpoa9qRaDZyUmVOB/YDjImIqcDIwIzN3BWZUnwEOBnatjmOBc5tiXQr8U2a+lMbe3otabxYR42isfNu3uubU7gIY8FlgUWbuBkwFftVDzj+q5rZ6EDgK+F7fX7thaPVFSpIkSZIkDVOZuRBYWL1fHhFzgInAITS2VAK4BPgl8Olq/NLMTGBmRGwTEROAbYFNMvP6KtZaXU5N3gJcn5lLASLieuAg4HLgb4Hdq/ldQNt9lLofeBcRreN/rMa7+vv97aSSJEmSJElqkYNw0Ni3e1bTcWxP96+W5+0F3AzsWBWwAB4BujdjngjMb5q2oBrbDXg8Iq6OiN9GxD9FxMg2t2k7PyK2qT6fXi3Z+35ElNkAuhcWqSRJkiRJkjpjcWZObzrOb3dRRGwJXAWcmJnLms9VXVN9LR7cBHgd8AnglcAuNJbe9dcmwCTg15m5N3AT8M/rMf95sUglSZIkSZLUqvB+VP3ck4qIGEWjQHVZZl5dDf+pWsZH9dq9v9RDwOSm6ZOqsQXA7My8PzNXA/8B7B0R+0bE7Op4Ry/zlwBPAd33/341f2TT/OKP7nZPKkmSJEmSpDayz4alsqKxsdOFwJzM/FrTqWuBI4Ezq9cfNo0fHxFX0Nj8/InMXBgRi4BtImL7zHwUeCMwKzNvBqY13W8c8I9Nm6W/GfhMZmZE/IjGPlg/Bw4A7snMNc3zS7OTSpIkSZIkaWh4DXA48MamjqW30ihOvSki5gIHVp8BfgzcD8wDvgV8BKAqJn0CmBERdwJRnV9LtWH66cAt1XFa9ybqNDZm/0JE3FHldFK7hCPiKxGxANg8IhZExBeq8VdW438DfDMi7u7ry9tJJUmSJEmS1CLp/xK9YvfMvJFGQamdA9pcn8BxPcS6HtijH/e8CLiozfgDwOv7Mf9TwKfajN9CY/lgv1mkkiRJkiRJaqPDNaphz+V+kiRJkiRJqp2dVJIkSZIkSW10ernfcGcnlSRJkiRJkmpnJ5UkSZIkSVIbaSdVR1mkkiRJkiRJapFAV91JDDMu95MkSZIkSVLt7KSSJEnSkJM3/VPdKawl736gSJyYskOROKV0XXB8kTgjjjmnSJy+3PKGkzpyn26v/NVXO3q/3tz+xhOLxdrz518vFkva2LlxemcNiyLVJpsHW08fNaAYS2euKZJLdkWROE8+XOa3br/9HioSZ+bMiQOOMeY90wpkArf+94oicT745nlF4sCYIlEm7b+6TBweLxJn1cPPFIlTwuSdVxWJs2bxs0XizLl5XJE4L913aZE4LBw6Tcpx4Cl1p6AOi0O+XCRO/uy0InGkuuUfF3WsoCMNF/v/75l1p7CWN4wbWSTOtxdfUSbO94uEkTpiWBSpJEmSJEmS1ku6cXqnWaSSJEmSJElq4cbpnefG6ZIkSZIkSaqdnVSSJEmSJEltuNyvsyxSSZIkSZIkteFyv85yuZ8kSZIkSZJqZyeVJEmSJElSiyRJ1/t1lJ1UkiRJkiRJqp2dVJIkSZIkSW102UjVURapJEmSJEmS2rBG1Vku95MkSZIkSVLt7KSSJEmSJElqkbjcr9PspJIkSZIkSVLt7KSSJEmSJElqlXZSdZpFKkmSJEmSpDbSrdM7yuV+kiRJkiRJqp2dVJKkjsnfnV8sVux+bLFYkiQNJ8e/4LQBzX/FuK4iebxt1/lF4sSIMp0udy/YoUgcGFkojurmxumdZ5Gqnz48Y2KROF/dd3GROKUce/34ulN4zsN/t6xInJeNfaZInDGvn1QkTte8R4vEKeU9X55QdwrPufKzjxSJs2rB00XijBgdReK8dN+lReIAjP7ypQOPUSAPqW5x4Cl1p6AOi1d9su4U1hKvqjuDwTHimHPqTmG9vPJXX607hdp8bvYWReK8cMsxReKoZye9dA37/++ZA45z/AvK/F49sKLMv4/+86k5ReJsaNIiVUe53E+SJEmSJEm1s5NKkiRJkiSpjS43Tu8oO6kkSZIkSZJUOzupJEmSJEmS2nBPqs6ySCVJkiRJktQigTLPslR/udxPkiRJkiRJtbOTSpIkSZIkqY10vV9HWaSSJEmSJElqldBljaqjXO4nSZIkSZKk2tlJJUmSJEmS1KKxcbqtVJ1kJ5UkSZIkSZJqZyeVJEmSJElSG+6b3lkWqSRJkiRJklok6XK/DnO5nyRJkiRJkmpnkUqSJEmSJKmNzLJHXyJickT8IiLuiYi7I+KEanxcRFwfEXOr122r8YiIsyNiXkTcERF7t8QbGxELIuKcHu63XXW/Fa3XRMQZETE/Ilb0kfMrIuLOKoezIyKq8T0j4qbq3I8iYmxf398ilSRJkiRJ0tCwGjgpM6cC+wHHRcRU4GRgRmbuCsyoPgMcDOxaHccC57bEOx24oZf7PQ18HvhEm3M/AvbpR87nAh9qyuOgavwC4OTM/HPgGuCTfQVyTypJGsJW/v3hReJs9o3vFIkjSZIkDSed3pMqMxcCC6v3yyNiDjAROATYv7rsEuCXwKer8UszM4GZEbFNREzIzIUR8QpgR+C/gOk93O9J4MaIeEmbczMBqsaotiJiAjC26dpLgXcCPwF24/8KZNcDP6VREOvR8ClSdQ3sf1g/uG6bMnls84IiYR74+G1F4nx138VMua610KqSRtadQIurTqo7g/JK/Rqv+eoxhSKV8ewfn6k7heK6dtutWKyh9t+WJEmD6UdLz6g7heJuf+OJdaewlm3HPM2eP/963Wk855wHTykS55evObnvi/rhP39dJMwGJYGu8o/3Gx8Rs5o+n5+Z57e7MCKmAHsBNwM7VgUsgEdoFJ+gUcCa3zRtATAxIv4EfBX4AHBgsezXNbG651r3r97fTaOI9h/A3wCT+wo2fIpUkiRJkiRJ9VqcmW27mppFxJbAVcCJmbmsuZspMzMi+qqefQT4cWYu6K0TapD9LXB2RHweuBZ4tq8JFqkkSZIkSZLayA4v9wOIiFE0ClSXZebV1fCfmpbxTQAWVeMPsXaH0qRq7FXA6yLiI8CWwOhqA/SbgVOra4/JzOaurv7kNhK4tfp4LY39qCa1uT+Z+TvgzdW83YC39RXfIpUkSZIkSVIbXR2+X/VkvAuBOZn5taZT1wJHAmdWrz9sGj8+Iq4A9gWeqJYFvr8p5lHA9MzsXvt5zfPNLzPXANNacl4WEfvRKIAdAXyjGt8hMxdFxAjgc8B5fcX36X6SJEmSJElDw2uAw4E3RsTs6ngrjeLUmyJiLo09ps6srv8xcD8wD/gWjWV+6yUi/gh8DTgqIhZUTxMkIr4SEQuAzavxL/QQ4iM0nuQ3D7iPxqbpAIdFxL3A74CHgW/3lcugdVJFxEXA24FFmfnyNucPofEoxC4aj1g8MTNvjIhpNNrFxgJrgDMy89+rOQF8icaGW2uAczPz7MH6DpIkSZIkaXhKanm6341AT5tIHdDm+gSO6yPmxcDFvZyf0sP4p4BP9Ra7um4WsE7dJzP/FfjXvuY3G8zlfhcD5wCX9nB+BnBtteHXHsCVwO7AU8ARmfn/t3fn0XaV5R3Hvz+SMEhEhFAFB5DBhdjiFBGLIEXrgBZQWhBdSKhIq7iqVkSsY0UUFiIu6qzVIlAQg7gcUEq1FLSAEoYgoOJAa2SexCAqJE//ODtyuLm5Q86++xy43w/rrJzz7r3f875ZD+fkPvd5331tki2AJUnOqao7gUX01lpuX1Urk/zJDI5fkiRJkiRJHZmxJFVVnd/cLnFNx5f3vdyQXpKSqvpJ3znXJ7kZ2Ay4E3gd8MqqWtkcvxlJkiRJkqTWFb1CJXVlqHtSJXlZkh8B36B3a8Kxx3cC1qW3phFgG2D/JJck+WaS7bobrSRJkiRJmk1WUq0+NLGhJqmq6qyq2h7Yh97+VH/U3FLxZODgVZVTwHrA76pqIb0NwT63pr6THNoksy655e57ZmYCkiRJkiRJasVI3N2vqs4Htk6yACDJRvSqq95RVRf1nboM+HLz/Cxgxwn6/HRVLayqhZttuMEMjVySJEmSJD0Urdo43Uqq7gwtSZVk2+ZufSR5Or0qqduSrEsvAfWFqlo85rKvAH/RPH8u8BMkSZIkSZJmQLspqpWTv+EsN2Mbpyc5DdgdWJBkGfAeYB5AVX0S2Bd4dZJ7gXuA/Zs7/e0H7AZsmmRR092iqrocOAY4NcmbgeXAITM1fkmSJEmSJHVnJu/ud8Akx48Fjh2n/RTglDVccyfwklYGKEmSJEmStEYu0evaSOxJJUmSJEmSpNltxiqpJEmSJEmSHqxWbZyu7pikkiRJkiRJGsdKNzvvlEkqse+Cdw3cxybrDR5Kn73+/QP3sUrVvQP3cd4uR7Ywkp7dv3dMa31Ja2PF8YPfZ2Kdpzx+8IHssdvgfUgD2PORb2+tr7Pv+GBrfUmSJGmWJKl+dsM89vvg5gP1cdprr2hlLPMW7dpKP1vseHcr/RzwmS1b6UdS+9bdar1hD6F163znfPL8dw97GJIkaQQ85TsfGfYQZoXWfmGe1e57NgsUFSupuuTG6ZIkSZIkSRq6WVFJJUmSJEmSNB1unN49k1SSJEmSJEnjcOP0brncT5IkSZIkSUNnJZUkSZIkSdJqirKSqlMmqSRJkiRJksYoYKV39+uUy/0kSZIkSZI0dFZSSZIkSZIkjcON07tlJZUkSZIkSZKGzkoqSZIkSZKk1ZSVVB0zSSVJkiRJkjRGgXf365jL/SRJkiRJkjR0VlJJkiRJkiStpljJimEPYlYxSSVJkiRJkjQOl/t1y+V+kiRJkiRJGjorqSRJkiRJksYoipWxkqpLJqn0kHTjvoe00MuCFvroOW+XIwfu419+PK+FkfSceetRA/fx8k3f1cJI4Mu3DT4WPbjU197RSj/5q6Nb6UeSJEnSaJgVSapttpvD4n/beKA+nvzin7cylmUnntBKPwB33X31wH2c+cEWBtKSz/CeVvppJ0EF2z/6Vh595mcH7qeNBJW6sd8HNx/2EB7gjLffMOwhPNCGGwzex613Dt6HNICz7xihLz5JkjTy3Di9W7MiSSVJkiRJkjQ95cbpHXPjdEmSJEmSJA2dlVSSJEmSJEljFLCyXO7XJSupJEmSJEmSNHRWUkmSJEmSJK3GPam6ZpJKkiRJkiRpHOXd/Trlcj9JkiRJkiQNnZVUkiRJkiRJqylWutyvUyapJEmSJEmSxihwT6qOudxPkiRJkiRJQ2eSSpIkSZIkaTVF1YpWH5NJ8rgk/5Xk6iRXJXlj075JknOTXNv8+cimPUlOTPLTJEuTPL1p3zLJpUkub/r5+wne8+3N9T9O8sIxx+YkuSzJ1ye4/ltJ7hx7TpInJLm46fuLSdadbP4mqSRJkiRJkkbDfcBbqmoHYGfgsCQ7AEcC366q7YBvN68BXgxs1zwOBT7RtN8APLuqngo8CzgyyRZj36zp+xXAk4EXAR9PMqfvlDcC10wy5uOAA8dpPxY4oaq2Be4AXjNJPyapJEmSJEmSxrOy5f8mU1U3VNWlzfPf0EsQPQbYGzipOe0kYJ/m+d7AF6rnImDjJJtX1R+q6vfNOeux5vzP3sDpVfX7qvoF8FNgJ4AkjwVeAnx2kjF/G/hNf1uSAHsAi8cZ8xqZpJIkSZIkSVpNUaxo9QEsSHJJ3+PQNb17kq2ApwEXA4+qqhuaQzcCj2qePwb4Zd9ly5q2VUsHlzbHj62q68d5mzVeD3wEOALWavf4TYE7q+q+cfpdI+/uJ0mSJEmS1I1bq2rhZCclmQ+cCbypqu7qFSb1VFUlqcn6qKpfAjs2y/y+kmRxVd00lUEmeSlwc1UtSbL7VK5pg5VUkiRJkiRJYxRQtbLVx1QkmUcvQXVqVX25ab4pyebN8c2Bm5v2XwGP67v8sU3b/fPoVVD9ENg1ycuazdQvT7Jwgut3AfZKch1wOrBHklOSPKvv+r0mmMZt9JYeriqOWm1c4869atLk24NekluA/x32ODqyALh12IPQSDEm1M940FjGhMYyJtTPeNBYxsTstWVVbTbsQXRp3tyH14L5T2u1zxt/fcGSiSqpmr2cTgJur6o39bUfB9xWVcckORLYpKqOSPIS4A3AnvQ2SD+xqnZq9pO6raruae4EeDGwb1VdOeb9ngz8O719qLagtyn7dtV3K8KmkurwqnrpBONe7ZwkXwLOrKrTk3wSWFpVH5/o72dWLPebTf8jJblkKqWDmj2MCfUzHjSWMaGxjAn1Mx40ljGh2aWmtNl5y3ahd6e8K5Nc3rT9E3AMcEaS19ArwtmvOXY2vQTVT4HfAgc37U8Cjm+WBQb40NgEFUBVXZXkDOBqencWPKw/QTUVSS4AtgfmJ1kGvKaqzgHeBpye5P3AZcC/TtbXrEhSSZIkSZIkTUvBNPM1g79l1XfpJZXG87xxzi/gsHHazwV2nOJ7Hg0cPcHx84DzJji+6xraf05zp8Cpck8qSZIkSZIkDZ2VVA89nx72ADRyjAn1Mx40ljGhsYwJ9TMeNJYxoVmkqO6X+81qs2LjdEmSJEmSpOmYO2fD2njDHVrt87bfXDLhxumzncv9JEmSJEmSNHQmqUZYki8mubx5XNe3s/+q449PsjzJ4Wu4/nlJLm2u/26SbZv2RUlu6ev7kDF9/keSa5JcnWSrmZyjpmcYMdEc3yjJsiQfnbnZabq6jockT01yYZKrkixNsv/Mz1LTMaTvjYOSXNs8DprZGWo6Zioe+o7vm6SSLGxez0tyUpIrm39HvH3mZqe10XVMNG079n13XJlk/ZmZnaZrGPEwlX6l0VIUK1p9aGLuSTXCquqPPwAmOR749ZhTPgx8c4IuPgHsXVXXJHk98E5gUXPsi1X1hnGu+QJwdFWdm2Q+uAB3lAwpJgCOAs5fq0FrxgwhHn4LvLqqrk2yBbAkyTlVdecg81B7uo6JJJsA7wEWAkUvJr5aVXcMNBG1YibjIcnDgTcCF/ed/zfAelX1Z0keBlyd5LSqum7QuagdXcdEkrnAKcCBVWnRSWAAAAgWSURBVHVFkk2Be1uYilowhM+IqfYraRYzSfUgkCTAfsAefW37AL8A7p7g0gI2ap4/Arh+kvfZAZjb3KqSqlo+wLA1g7qKiabfZwCPAr5F7wdRjZiu4qGqftL3/PokNwObASapRkyHnxEvBM6tqtub9zgXeBFw2tqNXDNhhuLhKOBY4K1jzt+wSUxsAPwBuGvQ8at9HcbEC4ClVXUFQFXdNvDg1boO42Gq/Uojpcq6jS653O/BYVfgpqq6FqCpcHob8M+TXHcIcHaSZcCBwDF9x/ZNb7nO4iSPa9qeCNyZ5MtJLktyXJI57U5FLekkJpKsAxwPWI492rr6jPijJDsB6wI/a2MCal1XMfEY4Jd95yxr2jRaWo2HJE8HHldV3xhz/mJ6P3jeAPwf8KFVCUyNnK5i4olAJTmnWRZ2RJuTUGs6iYdp9CuNlKqVrT40MZNUQ5bkP5P8cJzH3n2nHcADfyv9XuCEKVQ6vRnYs6oeC3yeXmktwNeArapqR+Bc4KSmfS69L6nDgWcCW3P/Mg91ZMRi4vXA2VW1bMBpaS2NWDysGtPmwMnAweU3bedGMSY0PF3HQ/PLiw8Dbxnn/J2AFcAWwBOAtyTZeu1mprU1YjExF3gO8Krmz5cled7azUxrY8TiYar9SprFUlXDHoMm0JTM/wp4xqpEQZILgFW/xd6Y3r5R766qj/ZdtxlwUVVt07x+PPCtqtphTP9zgNur6hFJdgaOrarnNscOBHauqsNmdJKalo5j4lR6icuVwHx6lTMfr6ojZ3KOmrou46F5vRFwHvCBqlo8k3PT2un4M+IAYPeq+rvm2KeA86rK5X4jou14AJ5Nr4Jy1Q+ZjwZuB/YCDm6uObm55nP0YuiMGZ2kpqXjmNgWeHFVHdRc8y7gd1V13IxOUlPWcTycMFm/0qiZM2eDmr/BNq32edfdVy2pKrdRWQP3pBp9zwd+1F/JUlW7rnqe5L3A8nE+3O8AHpHkic0+Mn8JXNNcs3lV3dCct9eqduAHwMZJNquqW+itS79kBuakwXQWE1X1qr5+FwELTVCNnM7iIcm6wFnAF0xQjbQuvzfOAT6Q5JHN6xcA3tFttLQaD1X1a2BB3/XnAYdX1SVNhcwewMlJNgR2Bj4yM9PSALqMiZ8BR6S3kf4fgOfSS1RodHQWD/R+8TlZv9LIceFAt0xSjb5XMI0NaJOcDRzSbGr8WuDMJCvpfZH8bXPaPyTZC7iP3m82FgFU1Yr0bgX77SQBlgCfaW0maktnMaEHhS7jYT9gN2DTJmkJsKiqHnDLag1dl98btyc5it4vOQDe5x5EI2cm4mFNPgZ8PslVQIDPV9XStRy3Zk5nMVFVdyT5ML3PiKK3hcDYfas0XF1+RkjSpFzuJ0mSJEmSNMacddavh62/Zat9Lr/nJy73m4Abp0uSJEmSJGnoXO4nSZIkSZI0jsI9qbpkkkqSJEmSJGk15cbpHXO5nyRJkiRJkobOSipJkiRJkqQxCqyk6piVVJIkaUqSLJ+BPvdKcmTzfJ8kO6xFH+cl8S45kiRJD3JWUkmSpKGpqq8CX21e7gN8Hbh6eCOSJEm6nxund8tKKkmSNC3pOS7JD5NcmWT/pn33pqppcZIfJTk1SZpjezZtS5KcmOTrTfuiJB9N8ufAXsBxSS5Psk1/hVSSBUmua55vkOT0JNckOQvYoG9sL0hyYZJLk3wpyfxu/3YkSdJDR2/j9DYfmpiVVJIkabpeDjwVeAqwAPhBkvObY08DngxcD3wP2CXJJcCngN2q6hdJThvbYVX9T5KvAl+vqsUATX5rPK8DfltVT0qyI3Bpc/4C4J3A86vq7iRvA/4ReF8bk5YkSdLMMkklSZKm6znAaVW1ArgpyX8DzwTuAr5fVcsAklwObAUsB35eVb9orj8NOHSA998NOBGgqpYmWdq07wzsAHyvSXCtC1w4wPtIkqRZzuqnbpmkkiRJbfp93/MVDPZvjfu4f2uC9adwfoBzq+qAAd5TkiSpUeCeVJ1yTypJkjRdFwD7J5mTZDN6lU3fn+D8HwNbJ9mqeb3/Gs77DfDwvtfXAc9onv91X/v5wCsBkvwpsGPTfhG95YXbNsc2TPLEKcxHkiRJI8AklSRJmq6zgKXAFcB3gCOq6sY1nVxV9wCvB76VZAm9ZNSvxzn1dOCtSS5Lsg3wIeB1SS6jt/fVKp8A5ie5ht5+U0ua97kFWASc1iwBvBDYfpCJSpKkWaxw4/SOpaqGPQZJkvQQl2R+VS1v7vb3MeDaqjph2OOSJElak3Uyr+bO3aTVPu+97+YlVbWw1U4fQtyTSpIkdeG1SQ6it5n5ZfTu9idJkjSyCij3pOqUlVSSJEmSJEljJHNrzpxHtNrnihW3W0k1AfekkiRJkiRJ0tC53E+SJEmSJGlcK4Y9gFnFJJUkSZIkSdJqyjvydczlfpIkSZIkSRo6K6kkSZIkSZLGZSVVl6ykkiRJkiRJ0tBZSSVJkiRJkrSaAvek6pRJKkmSJEmSpHEUNewhzCou95MkSZIkSdLQWUklSZIkSZI0Lpf7dclKKkmSJEmSJA2dlVSSJEmSJEnjKfek6pJJKkmSJEmSpNWUG6d3zCSVJEmSJEnS6s6B+xa03OetLff3kJKydE2SJEmSJElD5sbpkiRJkiRJGjqTVJIkSZIkSRo6k1SSJEmSJEkaOpNUkiRJkiRJGjqTVJIkSZIkSRo6k1SSJEmSJEkaOpNUkiRJkiRJGjqTVJIkSZIkSRo6k1SSJEmSJEkauv8Hp4mW6SasP6cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1584x548.308 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import datetime\n",
    "import matplotlib.pyplot as plt \n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "plt.figure(figsize = figure_ratio(time_map_ccd_product))\n",
    "epochFormatter = FuncFormatter(lambda x, pos: datetime.datetime.utcfromtimestamp(x).strftime('%Y-%m-%d'))\n",
    "time_map_ccd_product.plot(cmap = \"magma\", cbar_kwargs=({'format': epochFormatter}))\n",
    "plt.axes().set_aspect(\"equal\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span id=\"validate\">Validate Changes[&#9652;](#top)</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Imagery from earlier acquisitions  \n",
    "> Change starts with landcover before...    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2000-04-08T15:05:56.000000000\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x85.2632 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from dc_notebook_utilities import rgb\n",
    "print( landsat_dataset.time.values[1] )\n",
    "rgb(landsat_dataset, at_index = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Imagery from later acquisitions  \n",
    "> ... and is revealed when compared to landcover after.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2012-12-21T15:09:40.000000000\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x85.2632 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print( landsat_dataset.time.values[130] )\n",
    "rgb(landsat_dataset, at_index = 130)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "\n",
    "># Change within a selected Pixel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "> ### Define Pixel Lat and Lon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Bangladesh \n",
    "pixel_latitude = 25.228928\n",
    "pixel_longitude  = 90.035790\n",
    "\n",
    "## Colombia  \n",
    "pixel_latitude = 1.3282\n",
    "pixel_longitude  = -74.8549  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Select a Pixel from dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_pixel = landsat_dataset.sel(latitude = pixel_latitude, longitude = pixel_longitude, method = \"nearest\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "processed_pixel = ccd.process_pixel(target_pixel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Plot time series models  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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": [
    "ccd.plot_pixel(processed_pixel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Plotting Residuals "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "from functools import partial\n",
    "from datetime import datetime, timedelta\n",
    "from scipy.spatial.distance import euclidean  \n",
    "\n",
    "def _clean_pixel(_ds, saturation_threshold=10000):\n",
    "    \"\"\"Filters out over-saturated values\n",
    "\n",
    "    Creates a mask from the saturation threshold and > 0 and applies it to _ds.\n",
    "\n",
    "    Args:\n",
    "        _ds: dataset to mask\n",
    "        saturation_threshold: threshold that a pixel must be below to be considered 'clean'\n",
    "\n",
    "    Returns:\n",
    "        an xArray dataset that has been masked for saturation and valid (>0) pixels\n",
    "    \"\"\"\n",
    "    ds = _ds\n",
    "    mask = (ds < saturation_threshold) & (ds >= 0)\n",
    "    indices = [x for x, y in enumerate(mask.red.values) if y == True]\n",
    "    return ds.isel(time=indices)\n",
    "\n",
    "\n",
    "def _n64_to_datetime(n64):\n",
    "    \"\"\"Convert Numpy 64 bit timestamps to datetime objects. Units in seconds\"\"\"\n",
    "    return datetime.utcfromtimestamp(n64.tolist() / 1e9)\n",
    "\n",
    "def n64_to_ordinal(n64):\n",
    "    dt = _n64_to_datetime(n64)\n",
    "    return dt.toordinal()\n",
    "\n",
    "def _plot_res(results=None, original_pixel=None, band=None, file_name=None):\n",
    "    \"\"\"Plots CCD residual for a given band. Accepts a 1x1xt xarray if a scatter-plot overlay of original acquisitions over the ccd results is needed.\"\"\"\n",
    "\n",
    "    fig = plt.figure(1, figsize =(20,5))\n",
    "    fig.suptitle(band.title() + \" Residual \", fontsize=18, verticalalignment='bottom')\n",
    "\n",
    "    lastdt = None\n",
    "\n",
    "    dateLabels = []\n",
    "\n",
    "    for change_model in results[\"change_models\"]:\n",
    "        ax1 = fig.add_subplot(111)\n",
    "        model = getattr(change_model, band)        \n",
    "        time = original_pixel.sel(time = slice(datetime.fromordinal(change_model.start_day),\n",
    "                                                datetime.fromordinal(change_model.end_day))\n",
    "                                  ).time.values        \n",
    "        ordinal_time = list(map(n64_to_ordinal , time))\n",
    "        actual    = original_pixel[band].values\n",
    "        \n",
    "        predicted = list(map(partial(ccd._lasso_eval,bias= model.intercept, weights = model.coefficients), ordinal_time))\n",
    "        residual  = list(map(lambda x: euclidean(x[0], x[1]), zip(actual, predicted)))\n",
    "                \n",
    "        x = time\n",
    "        y = residual\n",
    "\n",
    "        ax1.plot(x, y, label= model.coefficients)\n",
    "        \n",
    "        # Curve Fit Code  \n",
    "        polycoeffs = np.polyfit(ordinal_time,residual,5)\n",
    "\n",
    "        f = np.poly1d(polycoeffs)\n",
    "\n",
    "        x_new = np.linspace(ordinal_time[0], ordinal_time[-1], 50)\n",
    "        y_new = f(x_new)\n",
    "        ax1.plot(x_new, y_new, c = \"#333333\")\n",
    "        \n",
    "        # Draw Vertical Lines\n",
    "        dt = datetime.fromordinal(change_model.start_day)\n",
    "        dateLabels.append(dt)\n",
    "\n",
    "        if lastdt is not None:\n",
    "            ax1.axvspan(lastdt, dt, color=(0, 0, 0, 0.1))\n",
    "\n",
    "        dt = datetime.fromordinal(change_model.end_day)\n",
    "        dateLabels.append(dt)\n",
    "\n",
    "        lastdt = dt\n",
    "\n",
    "\n",
    "    ymin, ymax = ax1.get_ylim()\n",
    "    for idx, dt in enumerate(dateLabels):\n",
    "        plt.axvline(x=dt, linestyle='dotted', color=(0, 0, 0, 0.5))\n",
    "        # Top, inside\n",
    "        plt.text(\n",
    "            dt,\n",
    "            ymax,\n",
    "            \"\\n\" +  # HACK TO FIX SPACING\n",
    "            dt.strftime('%b %d') + \"  \\n\"  # HACK TO FIX SPACING\n",
    "            ,\n",
    "            rotation=90,\n",
    "            horizontalalignment='right' if (idx % 2) else 'left',\n",
    "            verticalalignment='top')\n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "    if file_name is not None:\n",
    "        _save_plot_to_file(plot=plt, file=filename, band_name=band)\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>  \n",
    "> ### Remove points that don't have a `clear` designation on `pixel_qa`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "clear_pixel = processed_pixel.where(processed_pixel.pixel_qa == 66, drop = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Run Residual Plotting on a pixel with clear values  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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8QFxcHG3atAHcuIyUlBTGjx/PyJEjQzrvnj172L9/f8D6Dz/8wKlTpzzPKdXAoe/ddu070OdeiI71No+IhLXjx4/z8ssvn1mgeeutt56pPfDAA4wfP77U5yxtD6+q0grmKuCyyy5jw4YNAOTk5PDAAw/g8/mYOHEi/fr146uvvvI4oYiIiIiIVLRu3boxd+5c2rdvf87+HTt2MHr0aL777ruQz12WM5jLM6dUcSv+CgufgZr1oNNQuPlDrxOJSBi76aabiIuLo1+/frz77rvUrFmTjz76iNq1a9OrVy/Wr1/vdcSwU9IVzDUqIoyUr9OnT5/5PDIykrfeeouePXsybNgw0tPTPUwmIiIiIiJeycnJoW3btoX2t2nThuzsbA8SFa2y5JQwlJYM9VrAVb+B72fBzhVeJxKRMLZt2zZeeeUVxo4dy4wZM+jVqxfDhg0jLS3N62iVnkZkhKEVK9xfigMHDizR8fHx8cybN49Ro0ad2ff0009z0UUX8atf/apcMoqIiIiISHj75S9/Se/evbn55puJiYkB3Ft5J02axF133RXyeVesWMHu3bsZMmRIkfU1a9aQmZlZ4hXM5ZVTqgFfMkR3hn4Pwtp/w/wn4e7FUENr6USksFOnTpGXl0cN//8jnnjiCdq0acOgQYNCXqBZ2h5eVaX/64ah/fv3B51pdr4PPvjgnOZyvrvvvluv+IuIiIiIVFOPPfYYH330EdZaVq1axapVq7DW8uGHH/LYY4+FfN79+/fj8/kC1g8ePBi0XlE5pRrwJbu5y7XqwrCn4IevYOMUr1OJSJgaM2YMixcvPmffHXfcwWuvvUatWrVCOmdpe3hVlWYwi4iIiIiISKmU5QxmkZBkpMGfOsLIl2DAryEvD94aDFlH4NdJUDPK64QiIpWeZjCLiIiIiIiISNWUluy20f4XMmrUgKtfgmN74Mv/9S6XiEg1pAZzGFq2bBnLli3zOoaIiIiIiEghy5YtY82aNQHrq1atCloXKRO+/AZz7Nl9HQZB52vg89cho+RjWkREQqUenqMGcxhKS0sL+Q6WiYmJ/Pa3v+Xhhx9m2rRpZZxMRERERESqu7S0NI4ePRqwfuTIkaD14hw/fpwTJ06E/HypJtKSIaIWNG537v4Rz8PpDFj6ije5RCSs5eXl8cUXX5TZ+S6kh1eVaAZzFfLAAw+QkpLCLbfcAsDkyZPp1KkT48aN8ziZiIiIiIh4ZcyYMRhjztnXqFEj4uPjue+++6hTp06pz1keM5iTkpL45S9/yYkTJ7DW0rhxY959912uuOKKUueTamDiLXB4Bzy4unBt9sOw9t/wwGporlngInKuyy+/nK+++srrGJWCZjBXQ4sXL+azzz7jzjvv5M4772TOnDmF7o4pIiIiIiLVS8eOHalfvz733HMP99xzDw0bNqRBgwZs3bqVe+65x+t4Z9x1112MHz+enTt3smvXLsaNG8edd97pdSwJV77kc8djFDT4UahZFxY+U7GZRKRSGD58OFOnTiWcF91WNpFeB5DClixZAsDQoUNL9bzY2Fh2795Nu3buLUJ79uwhNjbAX7giIiIiIlItfPHFFyQlJZ15PGbMGHr37k1SUhLdu3cv9fmWLFnCnj17SEhIKLK+cuVKsrKySr2COSIigquuuurM44EDBxIZqV9ZpQi52XBkB3QbU3S9fnO46rew6DnY8Tl0uKro40SkWnrzzTd5/fXXiYiIICoqCmstxhiOHz9e6nOF2sOravS3dRg6duxYqY7Pf8vbiRMn6NatG3369MEYw5dffkmfPn3KKaWIiIiIiFQG6enp7N69m4svvhiA3bt3k56eDkCtWrVKfb5jx46deX5RTpw4wcmTJ0t93sGDB3Pfffdxyy23YIxh8uTJDBkyhPXr1wPQq1evUp9TqqgjuyAvB6KDvIjR71ew9l2Y/wTcsxRq6A3cIuKU5Zz/0vbwqio1mMPQ2LFjS3X8I488Uk5JRERERESksnvttdcYOHAgnTp1wlrLjh07GD9+PBkZGdx+++2lPt/YsWPZunVrwPqoUaOCNqAD+eabbwB47rnnztn/1VdfYYzR+D85y+f/+YuOC3xMzSgY/jQk3gPffgw/urlisolIpZCYmMiKFSswxnDVVVeVuheXL9TnVTXF3uTPGPMucB1w0Frb47zaw8CfgebWWp9xd454AxgNZAJ3WGvX+4+9HXjS/9QXrbX/V1w43eSv9Hbt2kVycjIJCQlkZWWRk5NDgwYNvI4lIiIiIiIeOnXqFN9//z0AXbp0CenGfgWVx03+REps5Ruw4Gn4/S6Iahz4uLw8eHsoZByCh9a5prOIVHsPPPAAKSkp3HLLLQBMnjyZTp06MW7cOI+ThZ+S3uSvJCuY3wP+AUw47wIxwEhgd4Hd1wBx/o++wD+BvsaYpsAzQDxggXXGmBnW2iMluH61s3DhQoCAM80Cefvtt3nrrbc4fPgw27ZtIzU1lfvvv59FixaVR0wREREREakEJkw451e5MyuFb7vttpDOt3DhQlJTUxk5cmSR9eXLl3Py5MlSN5gPHDjA448/zg8//MDcuXPZvHkzq1at4q677gopp1RhvmSo1yJ4cxncWIyrX4L3roVV42CQ3v0rIrB48WK+++473DpZuP3220O6JwGE3sOraoodQmStXQ4cLqL0F+B/cA3jfD8GJlhnNdDYGNMauBpYYK097G8qLwBGXXD6KiorK4usrKxSP2/cuHGsXLmShg0bAhAXF8fBgwfLOp6IiIiIiFQiSUlJZz4+//xznn32WWbMmBHy+bKysoLOWD558mRIM5jvuOMOrr76an744QcAOnfuzF//+teQc0oV5ksOPh6joPYDocu1sOIvkK7fj0UEYmNj2b377HrZPXv2EBsbG9K5Qu3hVTUhzWA2xvwY2Gut/Sa/2+/XBthT4HGqf1+g/VKEMWMC3Am3GLVr1z7nJh05OTmc999HRERERESqmb///e/nPD569Cg33xz6PNoxY8YEncE8cuTIkGYw+3w+fvrTn/Lyyy8DEBkZSURERMg5pQpLS4au15X8+BHPwfh+sPRluO4v5ZdLRCqFEydO0K1bN/r06YMxhjVr1hAfH8/1118PUKoXYUPt4VU1pW4wG2PqAo/jxmOUOWPMvcC9wJm7HEvJDB48mD/84Q9kZWWxYMECxo8frx90ERERERE5R7169dixY4fXMQqpV68eaWlpZxbJrF69mkaNGnmcSsJO5mHITIPoUoxgiY6D+F9C0jvQ5z5o0bX88olI2Hv++ee9jlDlhLKCuRPQAchfvdwWWG+M6QPsBWIKHNvWv28vMOS8/UuLOrm19i3gLXA3+QshX6U3f/58gIAzzQJ55ZVXeOedd7j00kt58803GT16NHfffXd5RBQRERERkUpizJgxZ5q2eXl5bN68mf/4j/8I+Xzz588nNTWVUaOKnnq4bNkysrKySj2D+fXXX+f6669n27ZtXHnllRw6dIgpU6aEnFOqKF+y25Z0REa+wb+Hbya5mwP+/OOyzyUilcbgwYPPebxixQomTpwY0k3+Qu3hVTWlbjBba78FWuQ/NsbsBOKttT5jzAzg18aYSbib/B2z1u4zxnwG/MEY08T/tJHAYxecvorKzs4u1fG7d+/m4osvpkaNGtxzzz3cc8895ZRMREREREQqm0ceOXtjs8jISNq1a0fbtm1DPl92djY5OTkh1wPp1asXy5YtY8uWLVhr6dKlCzVr1gw5p1RRaf4Gc7NSzkutFw1XPQwLn4HtS6HjkDIOJiKVyVdffcVHH33EJ598QocOHbjppptCOk9pe3hVVbENZmPMRNzq42hjTCrwjLX2nQCHzwFGAylAJnAngLX2sDHmBSDJf9zz1tqibhwowLXXXluq48eOHcv69esBuOmmm5g6dWp5xBIRERERkUqoqJVaL7/8ckgrtcD9vhJsBnNCQkKpZjAnJSURExNDq1atiIyMZN26dUydOpV27drx7LPP0rRp05ByShXlS4aIWtC4Xemf2/d+NyZj/pNw7zKooRnfItXJ1q1bmThxIhMnTiQ6Opqf/exnWGtZsmRJyOcsbQ+vqqpR3AHW2lusta2ttTWttW3Pby5ba9tba33+z6219kFrbSdr7aXW2rUFjnvXWhvr//h32X8p1Ze1ZyeJbN++3cMkIiIiIiISjr766it+97vf0b59e5566im6dg2fGbT33XffmZuVL1++nEcffZTbbruNRo0ace+993qcTsKOLxmadoSIECZ+1qwDCc/A/m9hw+SyzyYiYa1r164sXryYWbNmsWLFCh566CHdTLaMhDKDWcrZvHnzAALONDtf/jy18z8XEREREZHqqzxWaoH7fSU1NZXRo0cXWV+yZEmpZjDn5uaeWaU8efJk7r33Xm666SZuuukmevbseUFZpQpKSy7dDf7O1/1GWDUOFr0Al4yFWnXLLpuIhLXExEQmTZrE0KFDGTVqFDfffPM5izZDUdoeXlVV7ApmCX/ffPMNDRs2pEGDBmzYsIGGDRueedywYUOv44mIiIiIiAcqy0qt3NzcMzObFy1axLBhw87UQpnlLFVYbjYc3lH6G/wVVKMGXP0SnPjBNZpFpNoYO3YskyZN4vvvv2fo0KH89a9/5eDBg/zqV786c7M+CY1WMIeh0r7qkZubW05JRERERESksiqPlVrgfl8JNoN56NChpZrBfMsttzB48GCio6OJioriqquuAiAlJYVGjRpdcF6pQo7sgrzsC1vBDNBuAHS9Dlb8BXrdBg1alk0+EakU6tWrx6233sqtt97KkSNH+OSTT3j11VcZOXJkqc9V3Vcu5zNl8Q+M8hIfH2/Xrl1b/IEiIiIiIiJSpIyMDKZPn87EiRNZvHgxt912GzfccENIv0jn27p1K/Xr1w9YT09PL/GIDIDVq1ezb98+Ro4cSb169c5cIz09nV69eoWcU6qYLXNh4s1w10KI6X1h50rbBuP6wOW/gDFvlE0+EZEqxhizzlobX9xxGpERhmbPns3s2bO9jiEiIiIiIlVA/kqtmTNnkpqayuWXX86rr74a8vlmz57N0qVLA9YXLlwYtF6Ufv36ccMNN5xpLgN07txZzWU5ly/ZbaNjL/xczTpB77th/QQ4+N2Fn09EqiX18Bw1mMNQzZo1qVmzptcxRERERESkimnSpAn33nsvixYtCvkcNWvWJDIy8LTF4uoiIfNthXrNIapJ2Zxv8O+hVgOY/1TZnE9Eqh318Bz9rR+GLuStaiIiIiIiIuVp5MiRQWcwDx48uFQzmEVKLC0Fml3ADf7OV7cpDHoEFjwF2xZDp2HFP0dEinZiP9RvCcZ4naRCqYfnaAWziIiIiIiIiIQ/X3LZjMcoqO990Phit4o5L7dszy1SXRzaCq9fAhunep1EPKIGcxiaOXMmM2fO9DqGiIiIiIhIITNnzmTx4sUB6/Pnzw9aFwlJ5mHI9EF0yW8eWSKRtSHhWTiwEb6ZWLbnFqkuvv0EbC58P8vrJBVOPTxHDeYwFBUVRVRUlNcxREREREREComKiqJOnToB63Xq1AlaFwlJWorbluWIjHzdb4Q28bDoBTidUfbnF6nKrIVNie7zbYshN8fbPBVMPTxHM5jDUEJCgtcRREREREREipSQkBB0BvOgQYM0g1nKni/ZbaPLocFsDFz9Erx7NXzxDxjy+7K/hkhVtf9b9wJQx6GwfQmkJkG7/l6nqjDq4TlawSwiIiIiIiIi4c23FWrUhMbtyuf8F/eDbtfDyjfczcpEpGQ2JYKJgGtfc9uUBV4nEg+owRyGPv30Uz799FOvY4iIiIiIiBTy6aefsnDhwoD1efPmBa2LhCQtBZp2hIhyfCN2wrOQexqWvFR+1xCpSqx1N/brOASadYKYPpBcvRrM6uE5ajCHoUaNGtGoUSOvY4iIiIiIiBTSqFEj6tevH7DeoEGDoHWRkPiSy2c8RkHNOkGfe+CrD+DApvK9lkhVsHc9HN0NPW50j2MTYP8GOHHA21wVSD08Rw3mMDR06FCGDh3qdQwREREREZFChg4dSr9+/QLWr7zyyqB1kVLLzYHD28u/wQww6HdQuwHMf6r8ryVS2W1KdKNrul7rHseNcNuU6vMuFvXwHDWYRUSCbqcpAAAgAElEQVRERERERCR8Hd0FednQrAIazHWbwqD/gW2LqlWTTKTU8vJg0zSIHQ5RTdy+VpdB/Vaaw1wNqcEchhITE0lMTPQ6hoiIiIiISCGJiYnMnz8/YH3OnDlB6yKl5kt224pYwQxuTEaT9jD/acjLrZhrilQ2qWvg+F7ofuPZfca4MRnbFrt3HlQD6uE5ajCHoWbNmtGsWTOvY4iIiIiIiBTSrFkzGjduHLDepEmToHWRUvNtddtmsRVzvcja7oZ/BzfB1x9WzDVFKpuNiRBRG7pcc+7+uAQ4eQxSk7zJVcHUw3PK8farEqrBgwd7HUFERERERKRIgwcPZuvWrQHr/fv3Jz09vQITSZWXlgx1o934iopyyVho2wcWv+hWaNbWjStFzsjLhc2fupnLdRqeW+s4FEyEG5PRrr83+SqQeniOVjCLiIiIiIiISPjypVTceIx8xsDVL0H6Afji7xV7bZFwt+sL92ejx42Fa1GNIaYPJGsOc3WiBnMYmjJlClOmTPE6hoiIiIiISCFTpkxh3rx5AeuzZs0KWhcpNd/Wim8wg2uSdb8BvvgbHN9X8dcXCVebEqFmXeg8quh63AjYvwFOHKjYXB5QD89RgzkMtWrVilatWnkdQ0REREREpJBWrVoRHR0dsN6iRYugdZFSyToCmT5o5kGDGWD4M5CXA0te9Ob6IuEmNwc2z4DOV0OtekUfEzvCbVMWVlwuj6iH52gGcxgaOHCg1xFERERERESKNHDgwKAzmPv06aMZzFJ2fClu68UKZoCmHaDPvbBqHPS9H1pd6k0OkXCxc7l70ad7EeMx8rW6FOq3guT5cPnPKy6bB9TDc7SCWURERERERETCk8//YkZ0Z+8yDHrEzZWd/yRY610OkXCwMRFq1XdjMAIxBmITYPsSt+JZqjw1mMPQ5MmTmTx5stcxRERERERECpk8eTJz5swJWJ8+fXrQukippCVDjZrQuJ13GaKawODfw/al1eIt/yIB5ZyG72ZCl9FQMyr4sXEJcPIYpCZVTDaPqIfnqMEchmJiYoiJifE6hoiIiIiISCExMTFB501edNFFmkcpZceX7MZURHg84TP+LmjSwa1i1opMqa62L4WTR6HHTcUf23EomAhIWVDusbykHp6jGcxhaMCAAV5HEBERERERKdKAAQOC3sSvd+/emsEsZSctxbsb/BUUWQtGPAcf3wZfvQ/xd3qdSKTibUqEOo2g07Dij41qDDF9IXkBDH+6/LN5RD08RyuYRURERERERCT85OZA2jbvbvB3vm7XQ0w/WPIHOHXC6zQiFSv7JHw/G7qOcS+4lERcAuzfACf2l2828ZwazGFo4sSJTJw40esYIiIiIiIihUycOJFZs2YFrH/66adB6yIldnQX5GWHT4PZGLj6Jcg4CCvf8DqNSMXatghOHYceN5T8ObH+GwFW4dnl6uE5GpERhjp06OB1BBERERERkSJ16NCBiIiIgPWYmBiysrIqMJFUWWkpbhsOIzLytY1382e/+AdccSc0auN1IpGKsTERoppCh8Elf06rS6F+Kzcm4/JflF82D6mH5xS7gtkY864x5qAxZmOBfX8yxnxvjNlgjJlmjGlcoPaYMSbFGLPFGHN1gf2j/PtSjDGPlv2XUnX069ePfv36eR1DRERERESkkH79+tGzZ8+A9SuuuCJoXaTEfFvdNlxWMOcb/jTYXFj8otdJRCrG6UzYMhcuuR4iapb8ecZAbAJsX1Jlb46pHp5TkhEZ7wGjztu3AOhhrb0M2Ao8BmCMuQS4Gejuf854Y0yEMSYCGAdcA1wC3OI/VkRERERERESkMF8y1G0GdZt6neRcTdpD3/vhm4mw7xuv04iUv+T5kJ0B3W8s/XPjEuDkMUhNKvtcEjaKbTBba5cDh8/bN99am//Sw2qgrf/zHwOTrLWnrLU7gBSgj/8jxVq73Vp7GpjkP1aK8MEHH/DBBx94HUNERERERKSQDz74gOnTpwesT506NWhdpMTSUsJrPEZBVz0MUU1g/pNgrddpRMrXxqlQrwW0H1j653YcCiYCUhaUfa4woB6eUxY3+fslMNf/eRtgT4Faqn9foP2FGGPuNcasNcasPXToUBnEq3y6dOlCly5dvI4hIiIiIiJSSJcuXYLOnOzUqZNmUkrZ8G0Nv/EY+aIaw5BHYcdyt7pTpKo6dcL9jF/yY6gReP5+QFGNIaavm8NcBamH51zQTf6MMU8AOcCHZRMHrLVvAW8BxMfHV8uXAXv37u11BBERERERkSL17t2bRo0aBaz37NmT9PT0CkwkVVLWUcg4FL4NZnA3+fvyTZj/FHQaDhEX1GIRCU9b5kHOSegRwniMfHEJsOh5OLEfGrQqu2xhQD08J+QVzMaYO4DrgJ9be+b9IHuBmAKHtfXvC7RfRERERERERORcaSluG64jMgAia8GI58G3Bdb/n9dpRMrHpkRocBHEXMCN7GJHuG3KwrLJJGEnpAazMWYU8D/A9dbazAKlGcDNxpjaxpgOQBywBkgC4owxHYwxtXA3ApxxYdGrrgkTJjBhwgSvY4iIiIiIiBQyYcIEPv3004D1Tz75JGhdpER8W902urO3OYrT9Vq4eAAsfRlOHvc6jUjZyjrqmsLdx0KNC5iy2+pSqN+qSo7JUA/PKfb9G8aYicAQINoYkwo8AzwG1AYWGGMAVltr77fWbjLGfAxsxo3OeNBam+s/z6+Bz4AI4F1r7aZy+HqqhO7du3sdQUREREREpEjdu3enfv36AetdunQhMzMzYF2kRHzJUCMSmrTzOklwxsDVL8Lbw2DlX2H4014nEik7W+ZA7mnofgHjMcD9OYlNgO9nQm5OlRonox6eY2wY3+00Pj7erl271usYIiIiIiIiUsDWrVuDNpnT09Pp3DnMV55KeJv8Czj4PTxUSXoCU++G72bCQ+ugUVuv04iUjQ9+Aoe2wP/b4JrEF2LTp/DJ7XDnPGjXv2zySbkzxqyz1sYXd9wFrG8XERERERERESkHvuTwH49R0PCnwVpY9ILXSUTKRuZh2L7Ejce40OYyQMchYCIgpeqNyRA1mMPSe++9x3vvved1DBERERERkULee+89EhMTA9YnT54ctC5SrLxcOLwdomO9TlJyjS+Gfr+CDZPgh6+9TiNy4b6bCXk50OMCx2Pki2oMMX0heX7ZnC9MqIfnqMEchnr27EnPnj29jiEiIiIiIlJIz5496datW8B69+7dg9ZFinV0l5v72izO6ySlc9VvoW4zmP+kW80sUpltSoQmHaB1Gfan4hJg/7dwYn/ZndNj6uE5ajCHIf1wioiIiIhIuCquwdyjRw81mOXC+JLdtjKNyACo0wiGPAY7P4et87xOIxK69EOwY7lbvVwW4zHyxY5w25SFZXdOj6mH56jBHIZyc3PJzc31OoaIiIiIiEghxf2+ot9n5IKdaTBXshXMAFfc4VZez38KcrO9TiMSmu+mg82D7mU0HiNfq0uhfitIrjpzmPV3nqMGcxh6//33ef/9972OISIiIiIiUsj777/P9OnTA9anTJkStC5SrLRkiGoKdZt6naT0ImrCiOfd17DuPa/TiIRm4zSI7gItu5fteY1xYzK2L4HcnLI9t0fUw3MivQ4ghfXq1cvrCCIiIiIiIkXq1asXO3fuDFi/9NJLyczMrLhAUvX4kivfeIyCulwD7QbC0pfhsp+60RkilcXxfbBrJQx5tGzHY+SLHQFffQCpSdCuf9mfv4Kph+doBXMYuuyyy7jsssu8jiEiIiIiIlLIZZddRteuXQPWL7nkkqB1kWL5kiE61usUoTMGrn4RMtNgxV+8TiNSOpunA7bsx2Pk6zgETAQkzy+f81cw9fAcNZjDUHZ2NtnZmtUkIiIiIiLhp7jfV/T7jFyQrKOQcdDNMa7MLrocLvsZrBoPR/d4nUak5DYlQsse0Lyc3kUQ1Rhi+kJK1ZjDrL/zHDWYw9CHH37Ihx9+6HUMERERERGRQj788ENmzpwZsJ6YmBi0LhJUWorbVuYRGfmGPeVWMy963uskIiVzLBX2fAndbyjf68QlwP5v4cT+8r1OBVAPz1GDOQzFx8cTHx/vdQwREREREZFC4uPj6dGjR8D6j370o6B1kaB8yW4bXclXMAM0joF+D8C3H8Pe9V6nESnepmlu26OcxmPkix3htikLy/c6FUA9PEc3+QtD+seYiIiIiIiEqx49elCrVq2A9a5du5Kenl6BiaRKSUuGGpHQpL3XScrGwN/A+gkw/0m4Y3b53DRNpKxsTITWPaFpx/K9TqtLoX4rSF4Al/+ifK9VztTDc7SCOQydPHmSkydPeh1DRERERESkkJMnT3Lq1KmQ6yJB+bZCkw4QUdPrJGWjTkMY+hjsWglb5nidRiSwwzvgh/Xlv3oZ3AstcQmwbQnk5pT/9cqReniOGsxhaNKkSUyaNMnrGCIiIiIiIoVMmjSJ2bNnB6xPnz49aF0kKF9K1RiPUVCvO9xM6QVPQ65uBiZhKn88RnnPX84XOwJOHYPUNRVzvXKiHp6jERlhqG/fvl5HEBERERERKVLfvn3ZuXNnwHqvXr3IzMysuEBSdeTlwuFtEDfC6yRlKyISRrwAE38Ga/8Nfe/1OpFIYRsToW1vaHxxxVyv4xAwEW5MRrsBFXPNcqAenqMGcxjq1q2b1xFERERERESK1K1bNyIiIgLW4+LiNINZQnN0F+SernormAE6Xw0dBsHSl+Gyn0JUY68TiZzlS4YD38LVL1fcNaMaQ0xfSFkACc9U3HXLmHp4jkZkhKHMzEy94i8iIiIiImEpMzOTrKysgPWsrKygdZGAfCluG93Z2xzlwRgY+SJkHYEVr3udRuRcGxMBA93HVux14xJg/7dwYn/FXrcMqYfnqMEchj7++GM+/vhjr2OIiIiIiIgU8vHHHzN37tyA9RkzZgStiwSUluy2zargCmaA1j+CH90Cq/8JR3Z5nUbkrE2JcHF/aHhRxV43bqTbpiys2OuWIfXwHDWYw1D//v3p37+/1zFEREREREQK6d+/Pz179gxYv+KKK4LWRQLybYWoJlCvmddJys+wJ93c2UXPe51ExDmwGQ59Dz1urPhrt+wBDVq7OcyVlHp4jmYwh6EuXbp4HUFERERERKRIXbp0wRgTsB4bG6sZzBIaX0rVHI9RUKM2MODXsPxP0O8BaHuF14mkutuUCKYGXPLjir+2MRA7HDbPhNwcd0PMSkY9PEcrmMNQenq6/kEmIiIiIiJhKT09nYyMjID1jIyMoHWRgNKSq+54jIKu/G+o1xzmPwHWep1GqjNr3fzl9gOhfgtvMsSOgFPHIHWNN9e/QOrhOWowh6EpU6YwZcoUr2OIiIiIiIgUMmXKFD777LOA9VmzZgWtixTp5DFIPwDRsV4nKX+1G8DQx2H3KvhuptdppDrbvwEOb4PuHozHyNdxiBsbU0nHZKiH51S+tefVwMCBA72OICIiIiIiUqSBAweyY8eOgPU+ffqQmZlZgYmkSvCluG1VH5GR7/Lb4Ms3YeEz0HkURNbyOpFURxsTXXO32/XeZYhqDDF9IWUBJDzjXY4QqYfnaAVzGIqNjSU2thq8aisiIiIiIpVObGws7dq1C1jv0KFD0LpIkdKS3bY6jMgAN2t2xAtweDusfdfrNFIdWevmL3cc4v2NNeNGwP5v4cR+b3OEQD08Rw3mMHTs2DGOHTvmdQwREREREZFCjh07xokTJwLWjx8/HrQuUiRfsltJ2aS910kqTtwI19xb9gpkHfE6jVQ3e9fD0d3Q4yavk7g/CwApC73NEQL18Bw1mMPQtGnTmDZtmtcxRERERERECpk2bRoLFgSelTl37tygdZEi+bZC0w7Va1SEMTDyRcg6Cp+/5nUaqW42JUJELeh6rddJoGUPaNAakud7naTU1MNzNIM5DA0aNMjrCCIiIiIiIkUaNGhQ0BnM/fr10wxmKb20lOozHqOgVpdCz5+7ecy9765eK7jFO3l5sGkadBruZiB7zRiIHQ6bZ0JujhshU0moh+doBXMY6tixIx07dvQ6hoiIiIiISCEdO3YkJiYmYL1du3ZB6yKF5OVC2jaIrqZzTIc9ATUiYeFzXieR6iJ1DRzfCz1u9DrJWbEj4NQxl60SUQ/PUYM5DB05coQjRzR/SUREREREws+RI0eCzps8evSo5lFK6RzdDbmnILqz10m80fAiGPCQG1mwJ8nrNFIdbEyEyDrQ5Rqvk5zVcYibw55cuUYsqYfnFNtgNsa8a4w5aIzZWGBfU2PMAmNMsn/bxL/fGGP+ZoxJMcZsMMb0KvCc2/3HJxtjbi+fL6dqmD59OtOnT/c6hoiIiIiISCHTp09n0aJFAeufffZZ0LpIIWkpblsdR2TkG/BfUL8lzH8CrPU6TeWXl+tGLUhhebmw+VN3Y73aDbxOc1ZUY7i4H6RUrgazenhOSVYwvweMOm/fo8Aia20csMj/GOAaIM7/cS/wT3ANaeAZoC/QB3gmvykthQ0ZMoQhQ4Z4HUNERERERKSQIUOG0KdPn4D1AQMGBK2LFOJLdtvoatxgrl0fhj4Be76EzWpWXbDPnoB3RnidIjzt+gLSD0D3MBqPkS82AfZ/C8f3eZ2kxNTDc4ptMFtrlwOHz9v9Y+D//J//HzC2wP4J1lkNNDbGtAauBhZYaw9ba48ACyjctBa/9u3b0759e69jiIiIiIiIFNK+fXvatm0bsB4TExO0LlKIbytENYG6zbxO4q3LfwEtLoGFz0DOaa/TVF45p+Cbj+DoLq+ThKdNiVCzLnS+2uskhcX5XxRIWehtjlJQD88JdQZzS2tt/ssJ+4GW/s/bAHsKHJfq3xdovxTB5/Ph8/m8jiEiIiIiIlKIz+fj8OHz1yCddfjw4aB1kULSUtx4DGO8TuKtGhEw8gU4shOS3vY6TeWVsghOHoPsk14nCT+5ObB5BnQeBbXqeZ2msJY9oEHrSjUmQz0854Jv8mettUCZDQgyxtxrjFlrjFl76NChsjptpTJr1ixmzZrldQwREREREZFCZs2axdKlSwPWFyxYELQuUogvuXqPxygoNgE6DYNlf4RMvVATko1T3TY7U/Osz7dzOWT6oEcYjscA9yJT7HDYtrTSzNBWD88JtcF8wD/6Av/2oH//XiCmwHFt/fsC7S/EWvuWtTbeWhvfvHnzEONVbsOHD2f48OFexxARERERESlk+PDh9O/fP2B94MCBQesi5zh5HNL3q8Fc0MgX4dRxWP5nr5NUPqczYMscMBGAhVyNGjnHxqlQqwHEhvF86riRcOoYpK7xOomz6VOYejdkZxVZVg/PCbXBPAO43f/57cD0AvtvM04/4Jh/lMZnwEhjTBP/zf1G+vdJEWJiYoiJiSn+QBERERERkQoWExND69atA9bbtGkTtC5yjjT/Df6aqcF8Rsvu0PPnsOYtOLzd6zSVy9bP3Mrl/PnCAZqC1VLOafhuJnQdDTXreJ0msI5DoEYkJIfJmIxdX8CWuRBZ9PdMPTyn2AazMWYisAroYoxJNcbcBbwCjDDGJAMJ/scAc4DtQArwNvAAgLX2MPACkOT/eN6/T4pw8OBBDh48WPyBIiIiIiIiFezgwYOkpaUFrPt8vqB1kXP4UtxWK5jPNfQJiKgJC5/1OknlsnEq1G/lxowA5GgO8xnbl7jZ1N3DdDxGvjqNIKZv+MxhPrwNmnUKOCNePTyn2AaztfYWa21ra21Na21ba+071to0a+1wa22ctTYhv1lsnQettZ2stZdaa9cWOM+71tpY/8e/y/OLquzmzJnDnDlzvI4hIiIiIiJSyJw5c1i2bFnA+qJFi4LWRc7h2+rGGTTp4HWS8NKwNVz537B5Ouz+0us0lcPJY5A8380Xzr+BXXamt5nCycZE17zNb76Hs9gE2P8tHN/ndRJ3E9KmnQKW1cNzLvgmf1L2RowYwYgRYTwPR0REREREqq0RI0Zw5ZVXBqwPGjQoaF0qQPpB93b4yiAtGZq0h8haXicJPwMecqtx5z+hm9WVxPez3czlHjedHWeQrRXMgPs+fD8buo6pHH/W4vw9sZSF3ubIOQ1Hd7sVzAGoh+eowRyG2rRpQ5s2bbyOISIiIiIiUkibNm1o2bJlwHrr1q2D1qUcHdkFiffCnzvDqr97naZkfCkajxFIrXow7ElITYJN07xOE/6+nQKN20GbK6BmXbcvRzOYAdeoPX0CetzgdZKSadkDGrT2fkzG0V1g86BZbMBD1MNz1GAOQ/v372f//v1exxARERGRauTPn23h9QVbvY4hlcD+/fs5dOhQwPrBgweD1qUcZPhg7qPwj3g3UiGy9tnZxuEsL9e9/TxI86ba63mra7YtfBZyTnmdJnxl+GD7Urd62ZizN7HTCmZnUyJENYUOg71OUjLGuDEZ25ZCbo53OdL8/x8NMiJDPTxHDeYwNG/ePObNm+d1DBERERGpRlZu87F0i25SI8WbN28en3/+ecD6kiVLgtalDJ1Kh6Wvwhs9Yc2bcNnP4KH10OISSD/gdbriHdsDuacgurPXScJXjQgY+YJbSbnmLa/ThK/N08HmugYzQGSU22ZrBTOnM2HLPLjkenfjyMoibgScOgapa7zLkLbNbYOMyFAPz4n0OoAUNmrUKK8jiIiIiEg1k52bx7GsbK9jSCUwatQotm3bFrA+dOhQMjIyKjBRNZRzGta9B8v/CBmHoOt1MPxpaN7F1eu3gGN7PY1YIvmrrDUiI7hOw9xqzuV/gp4/h7pNvU4UfjYmQnQXaNndPa7pbzBrRAYkfwbZGdD9Rq+TlE7HIVAjEpIXQLsB3mQ4vA3qNA76Z049PEcrmMNQq1ataNWqldcxRERERKQayc6xHM1Ug1mK16pVK5o3bx6w3qJFi6B1uQB5eW7O7LjeMPd3buXvXQvh5g/PNpfBNZgzKsE7Enz+sTzN1GAu1ogX4NQJWPZHr5OEn+M/wK6VZ8djwNkGs0ZkuOZ7vRbQfqDXSUqnTiOI6esazF5J21bsCB/18Bw1mMPQ3r172bu3ErzaLCIiIiJVRnZuHidO5pCTm+d1FAlze/fu5cCBwOMX9u3bF7QuIbDW3aTrrcEw9S6oVR9u/QTumA0xvQsfX7+lW9mcl1vxWUsjLdmtDqwX7XWS8NfyErj8PyHp7bNv2xdn0zTAnh2PARDpn8Fc3VcwnzoByfOh+1g3bqWyiU2AA9/C8X3eXD9tW9DxGKAeXj41mMPQggULWLDA4ztlioiIiEi1ctrfWD6qMRlSjAULFrBy5cqA9eXLlwetSyntXQcTrocPboKTR+GGt+C+z6HzyLOrNc9XrwXYPMhMq9ispeVLduMxAn0dcq6hT0BEbVj4jNdJwsvGqdD6RxBdYKVpTc1gBtzs5ZyTlW88Rr64EW6bsrDir52dBcdTg97gD9TDy6cZzGFo9OjRXkcQERERkWomO7/BnHma6Pq1PU4j4Wz06NFBZzAPHz5cM5jLgi8FFj/vbl5WtxmMehXi74TIEvz5rN/CbdMPnv08HPmS3XxhKZkGLWHg/4MlL8GuVdCuv9eJvHd4u3sRZsTz5+5Xg9nZlAgNLnKjJiqjlj2gQWtIWQC9/rNir314h9sWs4JZPTxHDeYw1KJFGP8DQERERESqpOxcC8ARzWGWYrRo0YKjR48GrEdHR1OnTp0KTFTFHN8Hy16B9e+7t/kP/j30/zXUaVjyc9Rv6bbpB4Ae5RLzgmUehvT90KKr10kql/6/hrXvwvwn3PztGtX8jekbE932/BW6kfk3+avGM5izjrqVv73vqbw/J8a4MRmbZ0BuDkRUYBvzsP+F1GIazOrhOZX0J6xq27NnD3v27PE6hoiIiIhUI9k5bgXzkYzTHieRcLdnzx727Qs8D3Pv3r1B6xJA1lFY+Bz87XL46kPofRf899cw9PHSNZfh3BXM4ergd27boru3OSqbWnVh2FNu1e6mRK/TeG9jIsT0g8Yx5+6vUQMiakF2pje5wsGWOZB7GnpU0vEY+eJGwKljkLqmYq+bluK2xYzIUA/PUYM5DC1atIhFixZ5HUNEREREqhHNYJaSWrRoEatWrQpYX7FiRdC6nCf7JKz8G/ytJ6x4HbpdB79OgtF/Cn28Rf7zMsK5wbzZbVt08zZHZfSjm6HVpe4FiexqvEL34HdwcNO5N/crKDKqen9/NiZC44uhzRVeJ7kwHYdAjUh3s8KKlLYN6jUv9gU+9fAcjcgIQ9ddd53XEURERESkmik4g1kkmOuuu46UlJSA9RsafksN3xbg0YoLVRnl5cI3E2HJy+5GUp2GQ8Iz7mZlF6pWfahZN8xXMG+GOo2g4UVeJ6l8akTAyBdhwo9hzZtw5X97ncgbG6eCqQHdxxZdrxkFOdV0BnPmYdi+BPo/WPlvolmnkZshnbwQEp6tuOse3l7s6mVQDy+fVjCHoejoaKKjo72OISIiIiLVRG6eJc+NYNYMZilWdHQ0TZs2DVxv0pC2p7a6eZlSmLXw/Wz45wCY/qBbbXz7TPjPxLJpLoNrKNVr7p/BHKYObHbjMSp788srHYdA3NWw/DXISPM6TcWz1jWYOwwKvNK/Zp3qu4L5u5mQl1N4NnVlFZsAB751M+orSto2aBbLkSNH2LBhQ8DD1MNz1GAOQzt37mTnzp1exxARERGRaiJ/9TJoBbMUb+fOnaSmpgasbzsdze7DJ8/eIEnO2rUK3r0aJt3qmj8/nQD3LHZNsrJWv2X4rmC21o030HiMCzPieTh9Apa96nWSirfva7fCNNB4DPCPyKimM5g3JULTjmX3opXX4ka6bcrCirneqRNkHT3Av9ZlMnbsWB5//HFycop+0VQ9PEcN5jC0dOlSli5d6nUMEREREakmThdoMB/J0ApmCW7p0qX8f/buPT7K+s77/+uazEwyk8mZZMIhAQLIIQERRUBRRAFRURRRtFbbrrs97dbdbe+72653f+1uu+IomBQAACAASURBVL3v7nZ/7bbddte2925dW10riGdKUQSRk4AoSQBJOCQckpDJ+TyH6/7jO5MDZCaZzDEzn+fjkcc1meua6/oAEZzP9Zn39+BB/4st7apq492zLqgvj2JVca6+An63Cf5jLTSfg3U/hi8fgHnrIzfBayuI3wZz63m1aJd9XqwrGd8K5sCiz8ChX0Oj/9iahHTsJTCYYO69/o8xpYErCSeYOy7Dmd1qejlRPiFgL4WMSVD1x4hfyuVy8dJzv+b+ndP4t7eOceONN/LTn/4Uo3H4lGHp4SmSwRyH1q9fH+sShBBCCCFEEnG6Bk0wd8sEswhs/fr1ATOYV61/jMKOZ1RTNdB0YTJoqYGd34ePXoDUTLjj27Dki2C2Rv7atgI4tzfy1xmLhuNqW1Aa2zoSwcq/hWO/hx3fhkd+G+tqosPjgYqXVWyCJcf/cSZrckZkHH8FdA+UJUg8BqhG+cw7oPJVcDshxRT2S+i6zo4dO/j5z39ObW0t1+U6+afvfZsFKx8I+Drp4SnSYI5DOTkB/oIUQgghhBAizPqGRGTIBLMILCcnh6ysLL/7s/PySbeXqAZzsup0wHv/DB/8EtDgpr+A5V8Fq//s6rCz2aG7KWLNmJA0eH82JCIjdLYCWP5X8M734Oz7MO3mWFcUebUHoO0CrPq7wMcZ06CnJTo1xZPyLTBhNhQk2CcEZq2GD/8Lag+G/ef8gw8+4Kc//SmVlZXMmDGDH//pLdx86f+i3bxmxNdKD0+RiIw4dPr0aU6fPh3rMoQQQgghRJJwutQKf6YUjWbJYBYjOH36NLW1tX73nzt3jhN9hcnZYO7rhF3/BD9ZCAd+AQsehqeOwJrvRbe5DAMLn3Veju51R6O+EjIngyU71pUkhqV/rn4/tz+tpnsTXflLKl959l2BjzNZwNkdnZriRdsl9cmFsgSKx/ApuQ0MxrDGZBw/fpyvfOUrfOlLX8LhcPCd73yH3/3udyy3d6NlTgJz+ojnkB6eIhPMcWj37t0AlJSUxLgSIYQQQgiRDHwTzPm2VBo7+9B1HS3R3piKsNm9ezd1dXXMnTv89On+/fsxXkjh2txa6G4O/BH2ROF2wpHfwLs/gM4GmH0P3PH/qYzcWEn3Npg76iFzUuzqGE7D8cSbrowlsxVu/xZs/SKUb4YFD8W6oshxu6BiK8xeC6m2wMcmY4O5ciugq/zlRJOWBUVL4NQOWPWdkE517NgxfvWrX/H++++TmZnJX/3VX/HQQw+RmpqqDnBUQ96MUZ1LeniKNJjj0AMPBM53EUIIIYQQIpycvgZzZhoXW3vodrqxmuWtghjeAw88EDCD+a677sJTZYZDu9WkaiJ/ZN/jgcqXVTxB02kovgk2PQfFS2JdmYrIALXgVzxxO6HxJMy8PdaVJJYFm2DnP8CJ1xO7wXx2N3Q1ji7f3ZiEi/yVbwF7GeRfE+tKImPWatjxHTWpnTkx6Jd/+OGH/OpXv+LAgQNkZWXx5S9/mYcffhib7YqbFU3VgReQHER6eIr8X2McCpRnJoQQQgghRLj5GswFGWpyp7nLKQ1m4VdWVhYZGRl+92dmZtIz5Vo4hIrJSNQGc/VOtbDapY/UYnWfehFmrYmfj6XbBk0wxxNHNbj7ZIG/cDMYIGda/P15h1v5ZjBnwMzVIx+bbBPMLbVw/qCaZk9UM70N5qodsOjxUb1E13UOHz7ML3/5Sw4fPkxubi5PPfUUGzduxGodZsHV7mbockDu6CaYpYenyP81xiHfNMDMmTNjXIkQQgghhEgGVzaYW7r6mJxtiWVJIo5VVVVx7tw5SkuHbxCeOXOGrs4uSiy5UF8e5eqi4OKHqsFx+l3IKoYH/h3mPwSGlFhXNlS8Nphlgb/IsRWon89E5eqFytdg7jowpY18vDEtuRrMFS+rbVkCxmP42EshY5LKYR6hwazrOgcOHOCXv/wlH330ERMmTOCrX/0qGzZsIC0twM+Pw5unPMqIDOnhKdJgjkN79uwB5IdTCCGEEEJER593kb+CDPWGq6XLGctyRJzbs2cPdXV1fhvMBw8epLe3l9WFpYm10J+jGt75rmriWHLhzv8Ni58EY2qsKxueyQKpmfG3yF/DcdBSIH92rCtJPLZCaI+zGwrhVPU29LZC2cbRHW+ygrtXRdkYDJGtLR5UbIGJCyE3gbOANQ1m3gGVr6i4nRTTVYc4nU527NjBb3/7W06cOIHdbufrX/8669evH8hYDqSpWm1HOcEsPTxFGsxxaOPGUf5lKYQQQgghRBj0ZzD3R2T0xbIcEec2btzIqVOn/O5ft24dHR0dUNeiFr4b782d9jrY9QM48iykpMKtX4ebvgJpmbGubGS2gvibYK6vhLyZ8duYH88y7ODshN52SPUfYzNulW9WN3dKVozueN+Us6tHLYSYyJpOq+n11X8f60oib9Zq+PC/oPbgkAim1tZWXn75ZV588UUaGhqYNm0aTz/9NPfccw9ms3n053dUAxrkTh/V4dLDU6TBHIeuChcXQgghhBAigobLYBbCH5vNRnp6ut/96enp6LquPsrs7ILmM6P+qHFc6WmF938C+3+uMoOv/xys+PpA9MR4kF4AHQ2xrmKohgo1ZSnCr39hx4bEazD3dcLJN9VihsNMrQ7L6I16SoYGsy8eozQJFpwruQ0MRhWTMe1mampqeP7553nttdfo6enhxhtv5Omnn2bZsmUYxnJz01EF2UWjvgkmPTxFGsxx6OTJkwDMni0fGRJCCCGEEJHX32DO9GYwd8oEs/Dv5MmTnDlzhgULFgy7v6qqiq6uLq6Z743QqK8YXw1mZw988Ct475+huwnKHoSVT4+vX4OPrSC+Ykr6OqH5LCx8LNaVJCZfg7m9bnz+vAbyyTZ1w2p+ENOivglmZxeQG5Gy4kb5yzDlRsgujnUlkZeWhT5lCR/u3s5v32pn9+7dGI1G1q5dy6c+9SlmzZoV2vmbqkcdjwHSw/ORBnMc2rdvHyA/nEIIIYQQIjr63CqD2Wo2km5OkQlmEdC+ffuoq6vz22A+fPgwvb29rL39KdAMaqG/efdFucox8Hjg4xdg5/ehtRZm3A53fBsmjeNpW5sdqnfGuooBDSfUtmBebOtIVBmFattRF9s6IqF8C2RMhOJlo3+NyTu17OyJTE3xovEU1B+Dtf8n1pVEXHt7O2+++SYvv9xH1aU+sjKP8OSTT7Jx40YmTJgQ+gV0XS3yt+ChUb9EeniKNJjj0MMPPxzrEoQQQgghRBJxutQEsznFQLbVTEu3TDAL/x5++OGAGcz33XefymA2W9UUWDxN0Prj8cArX4aPnodJ18H6n6mPYY93tny1KJqzZ2CaM5YavD8LdmkwR8TgiIxE0t0Cp7bD4j8FQ8roX2f0ZTB3R6aueFG+BdBg3v2xriQidF2nvLycLVu2sH37dnp7e5k7cxpPzz/JXZ//MmnL/iR8F+tyqL8z80a/YJ/08BRpMMchqzXBs4GEEEIIIURc8UVkmIwaOekmWmSCWQRgtVqxWCx+91ssFtxut/rGXgqXjkapsjHSdXjjr1Vz+bZvwoq/AU2LdVXh4Ws4djbEx0fn6yvVVGn2tFhXkpgsOZBiVhEZieTEGyoHvezB4F5n8v49legTzBVbYOpNkDkx1pWEVUdHB2+99RZbtmzh1KlTWCwW7r77bjZs2MDcOXPg/58HNTshnA1mR5XaBhGRIT08JaQGs6Zpfw38KaADx4DPAROBF4A84DDwuK7rfZqmpQLPAtcDDmCTrutnQ7l+ojp+/DgAc+fOjXElQgghhBAiGfQ3mFMMZFvMNHfJBLPw7/jx45w9e5Zrr7122P2nTp1SGczXXAOFZVC5FXrb43PRMV2Hbd+Ew/8Jt3wNbvtGrCsKr8ETrfHQYG6ohPw5MJaFt8TINE39mXfUx7qS8CrfDNlTYfL1wb2uv8HcFf6a4kV9JVw+AXf/MNaVhIXH4+Hjjz/m1VdfZfv27fT09DB79my++c1vsnbt2qELzM68AypfAbdz9As/jsRRrbZBZJhLD08Zc4NZ07TJwFPAPF3XuzVNexF4BLgb+JGu6y9omvZvwJPAL7zbZl3XZ2qa9gjwA2BTyL+CBHTgwAFAfjiFEEIIIUR0+DKYzUYD2VYTF1oS/OPEIiQHDhygrq7Ob4P5yJEj9Pb2ctddd4G9TD3ZcByKboxilaOg6/D238GBX8DSL8Pt34p1ReGXnq+28dJwbKiEa+6MdRWJzVYQP3/e4dDZCKffhZv/MvhPFhi9DWZXAk8wV2xRWffz1se6kpCcOXOGN998k23btnHp0iUsFgtr167lgQceYN68eWjD/dnPWg0f/hfUHoRpN4enkKZq0FKCuiEnPTwl1IgMI2DRNM0JWIFLwO3Ap7z7fwN8B9VgXu99DPAS8DNN0zRd1/UQa0g4jzzySKxLEEIIIYQQScQ3wWxOMZBjlQlmEdgjjzwSMIN5/fr1dHZ2qm/spWpbXx5/Debd/wR7fgQ3/Anc+f3EicUYrH+COQ4ajh2XofMyFJTGupLEZiuE5rOxriJ8KreC7g4+HgMGcsedCXrTVNdV/vK0W9SNhXGmsbGRP/zhD7z11lucOHECg8HAkiVL+NKXvsRtt902cvREyW1gMELVH8PXYHZUQ860oCaipYenjLnBrOv6BU3TfgjUAN3AdlQkRouu6y7vYeeByd7Hk4Fa72tdmqa1omI0GsdaQ6JKS4uDxReEEEIIIUTS8C3yZ0oxkGM10drtxO3RSTEkYMNNhCwtLY3U1NSA+10u71vCrCJIzYy/hf7e/wns/Ae49lNw9z8nZnMZBk0wX45tHQDnP1DbSQtjW0eiy7BD7f5YVxE+5VtUrIp9DDcmjAneYK77WE3c3vxUrCsZtY6ODnbt2sVbb73FwYMH8Xg8zJs3j6997WusXr2aCRMmjP5kaVlQtBSq3oZV3wlPgY7qoOIxQHp4PqFEZOSgppKnAy3A74G1oRakadrngc8DFBfHQUZUDJSXlwNQVlYW40qEEEIIIUQy6HN7MGiQYtDItprRdWjvcZJtNce6NBGHysvLOXv2LIsWLRp2/4kTJwYymDVNNYbiqcF88Jfwx29B6QZY/7PEzgM2msGSGx8TzLX7wWCCSdfFupLEZrNDlyO8ubSx0noBzu2FlX87tptAJu8ErCtBG8zlW9QE79z7Yl1JQE1NTezatYudO3dy8OBBXC4XkyZN4nOf+xx33XUX06ZNG/vJp98K7/5v6G5Wi1yGQteh6TRMWx7Uy6SHp4QSkbEKOKPr+mUATdO2ADcD2ZqmGb1TzFOAC97jLwBFwHlN04xAFmqxvyF0XX8GeAbghhtuSMr4jEOHDgHywymEEEIIIaKjz+3BlKKabNlW1ZBo7pIGsxjeoUOHqKur89tg/uijj+jt7WXdunXqCXspfPyievMe60nhI8/Cm/8DZt8DG54BQ0ps64mGeMnkrTmgmsu+hddEZAxe2DFrcuBj413Fy4A+tngMGBSRkYAZzLqu8pdLbgNrbqyrucqlS5fYuXMn7777LkePHsXj8TB58mQeffRRVq5cyfz584fPVQ7WtOWArm5EzLkntHO114GzM+gJZunhKaE0mGuApZqmWVERGXcAh4CdwEbgBeAzwCve41/1fr/Pu/8dyV8e3mOPPRbrEoQQQgghRBJxunTM3gZzjrep3NzVx3TSA71MJKnHHnuMTz75xO/+DRs20NHRMfCEvRR626ClBnKmRqFCPz7+Pbz6FMxcBQ/9x/if7hwtW4HKPo4lZw9cPAJLvhDbOpJBRqHadtSN/wZz+WaYuDDohl+//kX+EnCC+cIR9Xfqim/EuhIAPB4Pn3zyCe+//z7vvvsux48fB2DmzJk8+eST3H777cycOTM8TeXBptygolDO7gm9weyoUtsgf96kh6eEksF8QNO0l4AjgAv4EDV5/AbwgqZp3/M+92vvS34N/JemaVVAEyAp2H6YTEnyPzpCCCGEECIuON0eTMahE8wtstCf8MNkMgV8z3LVfvt8ta2viF2DufIVePkLatpt03Ng9J8hnXBs9oH841i5dBTcfSovVUSWb7G39jiYWg9F02l1U2L1d8d+DmMqoCVmBnP5Zkgxh95UDUFLSwv79+9n37597N+/H4dDhRTMnz+fp556ipUrV1JUVBTZIoypagHZs++Ffq6marXNDa7BLD08JZQJZnRd/zbw7SuePg1ctTywrus9wEOhXC9ZfPzxxwAsWLAgxpUIIYQQQohk4HR7MKWoqaL+CeZOZyxLEnHs448/5uzZs9xwww3D7q+srBzIYAYomKu29RUw5+4oVTnIJ3+Al55Uk26PvpBQEQ26rtPX10dPT0//V3d3d//jvr4+XGd1XFXtuN96C5fLddWXx+MZ8ToGg4GUlBSMRiMpKSn9j33fG41GTCYTqampmM1mUlNThz4+sRuzW8M85UYSdDnF+GHzTTCP8wZz+Ra1LX1g7OfQNPXfe6I1mD0eFR8y4w6wZEftsi6Xi4qKCvbt28e+ffuorKxE13WysrJYunQpy5YtY+nSpcEt1BcO026Bnd+HrqbQ4kIc1appnzUlqJdJD08JqcEsIuPIkSOA/HAKIYQQQojoGJzBPDgiQ4jhHDlyhLq6Or8N5mPHjtHb28t993kXnkq1Qc50qC+PYpVe1Tvhvx+HwjJ47Peqljij6zodHR00NTXR3NyMw+GgpaWF9vZ2Ojs7aW9v7//q6Ojof9zV1UVPT8+oGsSQCx98K+K/lsBmYvjDOiwWCxaLBavVetVjq9VKeno66enp2Gy2IV+Dn8vMzCQ1NTX8H7dPBL4J5nHfYN6sJt6zQ5yANaaBK8EymGsPQPtFWP13Eb2My+Xi5MmTHDlyhCNHjvDhhx/S0dGBwWCgrKyML3zhCyxbtow5c+aQkhLDPPtpt9Cfwzx33djP03QackuCzuaXHp4iDeY49Pjjj8e6BCGEEEIIkUSc7oEM5ow0IwYNWrtlglkM7/HHHw+Ywbxx48ahGcygcpjrKyJc2RXO7YXnH4UJs+DTWyAtK6qX13Wd1tZW6uvrh3xdvnyZpqam/oZyU1MTLpdr2HOkpKSQmZlJRkYGNpuNjIwM8vPzycjIID09HYvFQlpamt8vs9mMsfqPGN/9HsbPvExK3vT+yWPfl8FgGLFR6/F4cLlcuN1u3G73kAlo3/dOp5Pe3l76+vqGbHt7e+nb9i16c2bTPX0N3d3ddHd309XV1b9taWnh0qVLdHV10dnZSWdnJyMt2WQymcjMzOz//fFts7Ky+rfZ2dlDtllZWVit1sRuTKeYwJqnFiwbr+oroaES7v5h6OcyWRJvkb+KLapxPvuusJ7W6XRSWVnZ31D+6KOP6OrqAqC4uJjVq1ezZMkSbrzxRjIzM8N67ZBMXqTyts/uCa3B7KgKOh4DpIfnIw3mOBTTOz9CCCGEECLpOF0DE8wGg0aWxSQTzMIvX0RCUPvtZXDyTejrArM1whUC5w/Bbx9S04+Pbw3tY9MBtLa2Ultby/nz56mtreXChQtDmsm9vb1Djk9JSSE/P5/c3Fzy8/O55ppryM3N7f/KyckhNzeX7Ozs8E3pmi/C4T7ISoHJMVj0rfEUlF+E+74Ji54Y1Us8Hg9dXV10dHTQ2dlJR0dH/+PBE91tbW20tbXR3t7O5cuXOX36NG1tbVff4BjEZDL1N5tzcnLIyckhOzu7//GV32dlZY2/9+i2QuhoiHUVY1exBTQDzFsf+rmMaeDsCv088cLjVpnys1ZDakZIp2poaKCiooKKigrKy8v7P30CUFJSwj333MOiRYu47rrroh97EYz+HOY9Yz+HxwNNZ9Tva5DG3d8PESIN5jh09OhRABYuXBjjSoQQQgghRDJQi/wNNLFyrGaau2SCWQzv6NGjnDt3jsWLFw+7v7y8nO7u7oEMZlATzLoHLp9Q02aRdOkjeG4DpOfDE6+CLT+k03V3d3PmzBlOnz7d30j2NZXb2tqGHFtQUEBhYSGzZ8/m1ltvxW63U1BQgN1up7CwkNzcXAwGQ0j1BM1mV9vOGDUca/apbRAL/BkMhv44jLFwuVy0t7fT2tpKS0sLLS0ttLa29n/5nmtpaeHkyZO0tLRc9Wfpo2laf8N58E2AK28K5ObmkpeXh8USBxnfGXboGKcTzLoOx16C6bcOxH2EwmRNrIiMc++r+JPSDUG9rL29ncrKyv6GckVFBY2NjQAYjUZmzZrFhg0bWLRoEQsXLiQnJycS1UfOtFtg5/fGnsPcdh7cvWOaYJYeniIN5jgkP5xCCCGEECKaBmcwA2RbTbTIBLPw4+jRo9TV1fltMFdUVNDb28v69YOmD+2laltfHtkGc8NxePZ+SM2Ez7wKmRNH/dK+vj7Onj3L6dOnqa6u7v+6ePFif1yDwWBg4sSJTJkyhTVr1jBlyhSKioooKipi0qRJpKWlRepXNna+BnOsJlprDoAlV0WVRInRaOyfQB4tl8vV33Rubm7ujy9paWkZEmdy8uRJmpqa/E5Jp6WlkZeXN6QJPbgBPfixzWaLTFyHzQ6X/cfYxLWLH0LzGbjla+E5nyktsRb5K9+imubX3Dnsbo/Hw8WLFzl16hSnTp2iqqqKqqoqampq+o+ZOnUqixcvprS0lLKyMmbNmkVqamq0fgWRMf0W2IlqwM+9N/jXO6rVNm9m0C+VHp4iDeY49NnPfjbWJQghhBBCiCTivKLBnGM1c6k1gSa+RFh99rOfDZjBvGnTpqubbznTwZQe2Rzmxir4zX2QYoYnXoHsYr+HdnZ2cvLkSY4fP87x48c5ceIEtbW1uN1uQH3keerUqcybN497772XkpISSkpKmDx5MiaTKXK/hkiw5qm4gVgt+la7H4qWQJznHhuNRiZMmDDqKIDe3t7+prO/rwsXLnDs2DGam5uHzZQ2m83k5ORc1Xj2TUUPfj4rK2v00+82u/rz1vW4/32/SvlmMJhCy9IdLJEW+XO74PirMPsudJOVhvp6amtrqaqqorq6mlOnTlFdXU13t2qoa5pGUVERM2bMYN26dZSWljJv3jwyMkKL1ohLkwbnMI+lwVyltnnBTzBLD0+RBrMQQgghhBBJzunWsZgGMgSzrWZO1LXHsCKRcAwGsM+LXIO5+Sw8e5+K4fjs60OaBN3d3f3N5MrKSo4fP865c+f6G352u505c+awatUqSkpKmDFjBsXFxeOvkeyPIQWsE2IzwdzZqBo31yXeIlipqakUFhZSWFg44rFut7t/EtrhcPQ3oAc/bmho6J+O9t3oGCwlJYXs7OwhsRzDxXZkZ2eTbcwl3e1E626OWP54RHg8UPEyzFwFljBFNJis4zYuxLdQ6Llz56itreXc0V3UHDBRu7+emh/fQk/PQOM8KyuLWbNmsX79embOnMmsWbMoKSmJj8iWaDCaoXgJnHlvbK9vOq1+VjJG/6kXMZQ0mOPQ4cOHAbj++utjXIkQQgghhEgGTreHzLSBtwY5VlnkT/h3+PBhzp07x9Klw2fqfvzxx3R1dQ3NYAYVk1H5SvinKlsvqMnlvk747Os0ankc3bGDjz76iKNHj/LJJ5/0N+zy8/OZO3cud955J3PnzmXu3Lnk5eWFr5Z4ZbPHpsFce0Bti0efv5yIUlJSyMvLIy8vj1mzAkeFeDwe2traaG5uxuFw9G8Hx3Q0NzdTXl5Oc3MznZ2dw57HbJhB9v5NZOflD1m0MDs7u//Lt9ih7yvmES+1+6HtAqz6u/Cd05QGzvicYHa73TQ2NlJXV8elS5eoq6vr//J9P/jPN0WDyekWihfM4PqbpzJ16lSKioooKSlhwoQJkYlbGU+m3QLvfBc6HZAe5N/rjmrILRnTv03Sw1OkwRyHKirUXf1k/+EUQgghhBDR0ee6OoO5q89Nr8tNqlFWRxdDVVRUUFdX57fBfPLkSXp7e6/eYS+Dw/8J7Zcgc1JYatHb6jj30/s4WtPD0ez7OPrFb3H+/HlATZjOnz+fz372s5SVlTF37txRxx8kHFt+bCIyavapyJKJyZ1NGgyDwdDfAJ4+ffqIx/f09PTnRjscDvW4+kOa9/4HzUVLaHGn0dLSwsWLFwM2pEH9N+NrPGdmZpKRkUFmZuaQx4O3GRkZpKenY7PZSE1NDb3BWb5ZxRzMviu08wxmtIArehnMbre7f4FJ342BxsbGIRPrDocDh8NBY2PjVdPqmZmZFBYWMnnyZG644QYmTZrE1KlTKZ40kUkvrMQ45y7Y8JOo/XrGlWm3qO2592HefcG9tql6YK2AIEkPT5EGcxx64oknYl2CEEIIIYRIIk63B5NxcIPZDEBLlxN7pjSYxVBPPPFEwAzmhx56aPgF0PoX+qsIqcFcV1fHgQMHOPD+e3yw912aezQgk5ycEyxcuJCNGzeycOFC5syZg9Eob3kBNcHceCr61605AJOuU1OkIiLS0tKujupwzIXmH8IDK+DaR4Yc39fXR2trK62trbS0tPQ/vvL7trY2zp07R1tbG+3t7cPfNBokJSUFm83W33BOT08nPT0di8WC1WrFYrH4/TKbzaQajZjfe43U4tsw1TlITe3AbDZjNpsxmUwYjUYMBkPwTWw/E8y6ruN2u3G5XDidTpxOJy6Xi76+Prq7uwN+dXZ20t7e3v97M3jrb/FHX8SJb5K9pKSE/Pz8/j8731d6evrwv45P/gB9rVC2IbhffzKZdJ2KuTi7J7gGs9ulYpbmBtmU9pIeniL/2gohhBBCCJHknG4d8xWL/AE0d/Vhz5TGkAiTgnlqW18Os1aP+mUdHR0cOnRINZUPHKCmpgaAPAssy+/k+ns+x8LVmyguLpaPiPtjK4j+om/OHrh0FJZ8MTrXEwNsBWrbfnX2sNlsJj8/n/z8/KBO2dvb299E9TVUOzs76ejooKOjY9jHly9fvqo5O1y+9IBMoAr+74N+j0hJSRn2y2AwDFlIUdd19dXbAa4MwXRAcwAAIABJREFU9G13oOv6kIbyWJnN5iGT3Pn5+ZSUlPRPe2dmZpKVldXfTPYt0piSEsIN2/ItkJYNJSvHfo5EZzSrBUXPBpnD3HIOPK4xLfAnBkiDOQ598MEHACxevDjGlQghhBBCiGTgdHuuaDCrxc2aO8f+Blwkrg8++IBz585x0003Dbv/6NGjw2cwW7IhqwjqygOeX9d1PvnkE3bv3s2+ffuoqKjA7XaTlpbGokWLePDBB1mSdpYZH/8j2mO/h2vWhOuXlrjSC8DdBz0t4Vs8bSQXP1TXLF4WneuJAakZYEoPa+52amoqqampIcXM6LqO0+nsbzb39PTQ3d1Nb28vfTt/SN+ZffSu+1ecHtXQ7uvr6996PJ7+iWPf4yu/991gGrzVLhxCqzsGizehaRomk6l/ItpoNPY/9j1vMpmumrBOS0sbMoUd9U9GOHvgxBtQul41UYV/02+Bt/9eLTCaPsqf1abTaps3c0yXlB6eIg3mOHTy5ElAfjiFEEIIIUR0qIiMgalGX0RGa7cs9CeudvLkSS5duuS3wVxdXU1Pj59FteylKiLjCk6nk8OHD7Nr1y52795NfX09mqYxd+5cnnjiCZYsWcKCBQswm73NlVefUs0DaS6Pjs2uth2Xo9dgrtmntkVLonM9MVSGHTqunmCOJU3T+mMvsrKyBna4euGt3bDyHlizNrwX3fWPsHMH/I+vQco4bYFV7YC+diiVeIwRDclhXj+61ziq1TZ3bBPM0sNTxul/XYnt05/+dKxLEEIIIYQQSaT3ikX+ctK9E8xdMsEsrvbpT386YAbzgw8+6DeHFHspnPojuHpp6+pl79697Nq1i71799LZ2UlqaipLly7lC1/4AsuXLyc3N3f48ziqxjxtlpR8kQkd9ZB/TeBjw6X2AOTNgvS86FxPDGWzQ3sMFnYci6od0NsKZf6jMcbM6I15cnVDSkb4zx8NFVvAmgfTV8S6kvg36To1vX/mvSAazFWQmjn6iecrSA9PkQazEEIIIYQQSe7KiIxsy0AGsxDh1Jo+g53n0tn+xT/j8LGTuN1u8vLyWL16Nbfeeis33ngjaWmjyP12VAWV45z0BjeYo8HjUQ3mOfdE53riajb7sJ8WiEvlm1UDtSQCDVSTRW2d3So6ZLzp64KT22DBw+N3AjuaUkxQvFQt9DdaTdWQWxK9fPoEJT+dcWj//v0ALF26NMaVCCGEEEKIZOB060MmmC3mFFKNBlpkglkMY//+/dTU1LB8+fJh9x8+fJju7u7+DObOzk527drF9u3b2bdvH263naKCizz++OOsWLGC0tJSDAbDsOcaVk+bapTKBPPo+SIyOi9H53qOU9DdLPnLsZRRCNXvxLqKkfV1wsm34NpHVHMw3AY3mMejU38AZyeUSTzGqE1bDm//nYoEso1iMUtHNUwZe7yF9PAUaTDHoTNnzgDywymEEEIIISLP7dFxe4Y2mAFyrGaaO2WCWVztzJkzXLp0ye/+2tpaOjo6ePvtt9m+fTt79uyht7cXu93Opx59hDvP/zOzV61BW/sXYyvAUaW2ebPG9vpklJYNBlP0JphrVMOFInlPGzO2AuhtUxOwZmusq/Hvk23g7IpMPAYMisjwkwsf78q3qBtEU2+OdSXjx+Ac5tL7Ax/r6oXWWnWDY4ykh6dIgzkOPfroo7EuQQghhBBCJAmn2wMwZJE/gGyrSTKYxbAeffRRvxnMuq5TW1vLe++9x4svvkhubi7r169nzZo1LFiwQE0q//tWaKgcewG+BvMEaTCPmsEA6fnQ0RCd69XsB+sEyBvbolkiDGyFattRD7nTY1tLIMc2Q8bEyE27j+cJ5t52OLUdFj0BhpRYVzN+TFqocpjPvjdyg7n5LOieMS/wB9LD85EGsxBCCCGEEEnM12A2DzPB3NotE8wiOJqm4fF4WLZsGQ899BCLFi3CaLzibae9TDVNxspRBZoBcqaFVGvSsRVEr8Fcux+KlkimaSxleGNR4rnB3N0CVX+ExX8WuQbqeG4wn9ymJq9LJR4jKCkmmLpsdDnMjmq1lZthIQsi6EpEy969e9m7d2+syxBCCCGEEEnA6dYBro7ISJcJZjG8vXv3cuTIEb/7b7rpJq6//npuvPHGq5vLAPZS6GwYe7Oz8RRkTwVj6then6xs9uhEZHQ0QNNpKF4S+WsJ/3y52+11sa0jkBNvgLsvcvEYAEZvg9k1DhvM5ZshY5K6WSOCM205XD6hcpgDafI2mHNLxnwp6eEp0mCOQ7W1tdTW1sa6DCGEEEIIkQT6IzKuaDBnWcy0dMkEs7habW0tdXX+m1YXL14MuB97qdrWl4+tAMcpWeBvLGxRisioPaC2ssBfbPVHZERpan0syl9Sn0SYvChy1zB5M5idUchgdjvhw9+qhUhD1d0CVTug9AEVcSOC48thPvte4OMcVWDJBWvumC8lPTxFIjLi0KZNm2JdghBCCCGESBJ9Ll+DeehH2XOsJlq6nOi6jiYfcxeDbNq0yW8GM8D69evp6OjwfwJ7mdrWV8CM24O7uK6rjzT7mgdi9Gx26LwMHk9kG1Y1+yElFSZeG7lriJFZ80BLgY44nWDuuAynd8Hyv4pslIrJu8Chsyty1/D54New7W/g9E548FehnevEG+BxQpnEY4zJxIVgtqmYjEC/h47qkOMxpIenyG0QIYQQQgghklh/BrPx6gxml0envdcVi7JEIkvPU4t61VcE/9q2i6pRJHmZwbPZQXdDd1Nkr1OzX02kSoRJbBkMKne7PQqxKGNx/BX18xjJeAwAo3eC2RXhCea+Tnjvh6qpeez3UPlqaOer2ALZxTD5+vDUl2xSjOpTFCPlMDedDmmBPzFAGsxxaM+ePezZM4owciGEEEIIIULkL4M522oCoKVTcpjFUHv27OHQoUN+9x88eDDgfkDFZIwlIsNRpbZ5s4J/bbJLz1fbSOYwO7vh0keSGRsvopW7PRbHNkP+HCiYF9nrRGuRvwP/rj4h8KkX1fTs638NnY1jO1dXE5x+V8VjyCeIxm7acmg86T8mpq8L2i6EHLkkPTxFGsxxqK6uLnBmmRBCCCGEEGHiL4M5x2oGoKVbcpjFUHV1dTQ2+m+cNDQ0BNwPqAbz5ZMqszQYjlNqO0EazEHzLfoWyYbjhSPqY/3FSyN3DTF6GYXxGZHRegFq9qrp5Ug3UKMxwdzdAu//C8xaA9Nuhgf+DXrbVJNZ14M/3/FXweOK/HR3ohsph7nptNrmjX2BP5Aeno9kMMehjRs3xroEIYQQQgiRJPrcfjKY09UEc3OXTDCLoTZu3Bgwg3ndunWBM5hB5TC7+9REcsHc0V/cUQ2mdBWxIYLT32C+HLlr1O5XW5lgjg+2AtX0jzcVL6ttNBqo0Zhg3vev0NMCt/8v9X3BXFj5t7DjO1C+GeYH2eMp36JiGwoXhL3UpDLxWjBneHOYh/lZa6pW2xAjMqSHp8gEsxBCCCGEEEnM6V3kz3zFBHOWxTvB3CUTzCIC7KVqG2wOc+Mplb8sHxsPni0KERk1+2HCbLDmRu4aYvRshdDVCB53rCsZqnyzipGIRpZ6igkMxsg1mDsbYf/PYd76oQtb3vQUTFkMb3wN2oOYbu1oUBO3ZRvk77lQpRhhaoAcZoe3wSyZ/mEhDeY4tGvXLnbt2hXrMoQQQgghRBLoz2C+apE/7wRzpzSYxVC7du3i4MGDfvfv27cv4H5AZSgbTFB3LLiLO6pCzstMWqmZKi4gUg1mjwdqD0CxTC/HjQw76B6VDRwvHNVw8Uh04x+MlshFZOz5kVp4dOXTQ583pMD9v1DXfe0vRx+VUfmK+jMr3RD+WpPRtOXQ+MnwTf6mavXJjtSMkC4hPTxFGsxxyOFw4HA4Yl2GEEIIIYRIAv4ymLMsEpEhhudwOGhpafG7v7m5OeB+AIxmyJ8d3ASzqxdazkn+8lhpmopMiFSzsfEk9LRCkeQvxw1fLEowE7SRVrFFbcui2EA1pUVmgrntEnzwK1iwSf19dqUJs+COb8Mn2+Do70Z3zoqX1eKH9ggvfpgs+nOYh5lidlSHHI8B0sPzkQzmOLRhg9ypEkIIIYQQ0eEvg9mYYiAzzSgRGeIqGzZsCJjBfPfdd4+cwQwqh/nM7tFfuOmMmuyTCeaxSy+I3ARzjTd/WRb4ix+2QrXtaIhtHYOVb4HiZZA1JXrXNFki02De/U9qMb4Vf+P/mCVfhBOvw7ZvQMmKwL/utktwbi/c9s3w15qsCheoT2+c3XN1FrajGq5ZE/IlpIenhDTBrGlatqZpL2madkLTtOOapi3TNC1X07Q/app2yrvN8R6raZr2E03TqjRN+1jTtEXh+SUIIYQQQgghxso3wZxqvPqtQU66mZZumWAWEWIvhfaL0NU0uuMdVWorDeaxs9kj12ysPQDp+ZBbEpnzi+Bl+BZ2jJMJ5vpKaKiMbjwGeCMywtxgbj4LR34Di56A3On+jzMYYP2/qhzsV78SOCqjciugR3e6O9GlGNUNjSsnmHvaoLNB/j0Jo1AjMv4F2Kbr+hzgWuA48A3gbV3XZwFve78HuAuY5f36PPCLEK+dsHbu3MnOnTtjXYYQQgghhEgCfa7hIzIAsq1micgQV9m5cyf79+/3u//9998PuL9fsAv9OU6prTQExs5WELkGc80+KFoiC5PFk/QCtW2P4MKOwSjfDJpBLYgXTaY0cIY5g/ndH6jFA2/9nyMfmzsd1vw9VL8Dh//D/3HlW8A+X2KAwm3acvXvR9ulgeeavAv8hSEiQ3p4ypgbzJqmZQG3Ar8G0HW9T9f1FmA98BvvYb8B7vc+Xg88qyv7gWxN0yaOufIE1traSmtra6zLEEIIIYQQScBfBjNAtsUkERniKq2trQEjMNrb20cfkQFBNJir1ARuWubojhdXs9mhywHuMN84aq9XE50SjxFfTGmQlh25WJRg6LpqME9foW50RJPJGt4J5ssn4eMXYPGfQuak0b3mhieh5Db4w/9S/61cqaUWzh+EsgfCV6dQpntzmM+9P/Ccw9tgzgu9wSw9PCWUDObpwGXgPzRNuxY4DPwlYNd13XdboA7wfiaDyUDtoNef9z436BYCaJr2edSEM8XFxSGUN37df//9Ix8khBBCCCFEGPS51cd1h2sw51hNnG4cRaNQJJX7778/YAbz2rVrR9dgthWAdQLUl4/uwo1VkCeTfSGx5QM6dDZCZhjnvWq9E+uywF/8ySiMj4iMix9C8xm45WvRv7YxDfrC+G/Zzu+rpvXyvx79azQN7vsZ/OIm2Prn8JnXVHyGT8XLalsq8Rhh15/D/N5ADnPTabXNCRBvMkrSw1NCicgwAouAX+i6fh3QyUAcBgC6rutAgICZq+m6/oyu6zfoun5Dfn5+COUJIYQQQgghRuL0RmSY/URktHRKRIaIEE1TMRnBTDCHYdosqdm881+dYY7JqDmgmngTrw3veUXobAXxEZFRvhkMJpi7LvrXNlnCF5Fx6SOVlbz0S5A+IbjXZhfBnd+Hc3vg4DND91VsgUnXBc5zFmNjSIGpN8GZ9waec1RD5hQwW2NXV4IJpcF8Hjiv6/oB7/cvoRrO9b7oC+/W9y/XBaBo0OuneJ8TV9ixYwc7duyIdRlCCCGEECIJ9EdkGK/OTc2xmmnvdfUfIwSo9yt79+71u3/37t0B9w9hL4OG42oBrEC6m6GrUbJJQ+VrMIc7h7l2P0y+Hozm8J5XhM5WGPuIDI9H5QvPWg2WnOhf35gWvoiMd/4B0rJg2V+M7fXXfRpmrYEd31GfygA1TXvxQ5lejqRpt6jc5baL6ntHFeSFZ0FS6eEpY24w67peB9Rqmjbb+9QdQCXwKvAZ73OfAV7xPn4VeEJTlgKtg6I0xCDd3d10d4d5hVMhhBBCCCGGESiDOSfdBEBrt0wxiwHd3d309PifBuzp6Qm4fwh7qWr8+D6u7E9/XqYs8BeSdO+nhMPZcOzrUlOdRUvCd04RPhl29eetB/Xh8vCq3Q/tF6Hswdhc32QNzwRz7UE49Qe4+S/Bkj22c2ga3PsTMKbC1i+pm2v98RiSvxwx05ar7VlvDnNTdVgW+APp4fmEksEM8BXgt5qmmYHTwOdQTesXNU17EjgHPOw99k3gbqAK6PIeK4Zx7733xroEIYQQQgiRJHwZzEbD1RPM2VY1jdjS1ccEW2pU6xLx69577w2YwbxmzZrRZTADFPoW+isPPJ3ceEptJYM5NL7F1cI5wXzhMHhcssBfvLLZwdUDPa1jb4qG6thLYLTANWtjc31TGji7Qj/P23+vbtIs+WJo58mcCHf/E2z5M9j7Uyh/GabcqCI0RGQUzleT52ffg5l3qE/FhClySXp4SkgNZl3XjwI3DLPrjmGO1YE/D+V6QgghhBBCiPByuj2YUwxo2jANZouaYG7ukglmESETZoOWonKYA03vOU6BwQg5U6NXWyIyp4M5I7wNZt8Cf1MWh++cInxshWrb0RCbBrPbpTKLZ98FqbboXx+8ERkhTjCfflc1J9f+H/XfUajmPwSVr8A73wOPU51XRI4hBaberP4MfZ+YkU/EhFUoGcwiQrZv38727dtjXYYQQgghhEgCTpcHU8rVzWVQGcwAzZ190SxJxLnt27ezZ88ev/t37doVcP8QpjQ1uTzSQn+OKsiZBimm0RcqhmfLD29ERs0ByJ8L1tzwnVOET4Yvd7suNtc/swu6HLGLxwDvIn/dY48J0XV4+7uQORmuD9OH8TUN1v0Y0jIBDebdH57zCv+mLVfN5TO71fdhisiQHp4SakSGiACnUyZEhBBCCCFEdDjdHkzG4edOsq2qmdciE8xiEKfTicvlGvP+q9hL4fwHgY9prJJ4jHCx2aHzcnjO5fGoXNoyyY6NW76FHdtjtNBf+WZIzYSZq2JzfVANZnRw96ns42B9sg0uHIJ7/0XdFAsXWz48/CzUlavYDBFZvhzmI8+CZlA3LcNAeniKNJjj0D333BPrEoQQQgghRJLoc+vDLvAHkJPuzWDulglmMeCee+4JmMG8atWq0Wcwg2owl29WGbFpWVfv93jUgkwzVo6hWnEVWwE0HA/PuS4fh95WKJL85bjlazCHc2p9tFy9cPw1mLMuvI3ZYBktauvsCr7B7PGoGIvcElj4WPhrm7Z8oPEpIstepv6NaT6jmstGc1hOKz08RSIyhBBCCCGESGK+DObhpJtTMKVoksEsIsvuXejPX9Oz7bzKTw20CKAYvfSC8DUba7z5y8VLwnM+EX5pWSqDOBYRGVU7oLcN5scwHgMGmtvOMeQwV76sFiG97W8lome8M6TAVG8zP0zxGGKANJjj0LZt29i2bVusyxBCCCGEEEnA6fafwaxpGtlWMy1dMsEsBmzbto3du3f73b9z586A+69iL1XbumPD73dUqa0syBQeNruaFnf1hn6u2gOqYZ0zPfRzicjQNDW1HouIjPLNYM2D6Suif+3BfBPMru7gXud2wc7vQ8G82GZIi/DxTYvnha/BLD08RRrMQgghhBBCJDHVYPb/tiDbYqK5UyaYRQRlToa0bP8L/TX6GswywRwWtgK17WgI/Vw1+6F4qWpiivhlK4x+REZfJ5x8C+atj/3kr8kXkRFkg/mj59UNrpVPg0HaZwlh+i1qK/+ehJ1kMMehtWvXxroEIYQQQgiRJPpc/jOYAXKsZpplglkMsnbt2oAZzCtXrgwug1nTVEyGvwaz4xSYMwYaoyI0gxvM2UVjP0/bJWg5B0u+EJ66RORk2KHxVHSvefItlXlctjG61x1Of4M5iIgMVy/s+gFMWgRzJGM3YRTOh03PQcltYTul9PAUuQUjhBBCCCFEEnO6PZiMASaYrSZaJINZRJq9FBoq1YJaV3JUwYSZMiUbLr4Gc2eIE8y13vxlWeAv/tns0B7lDObyLZAxEYqXRfe6wzF6M5iDicg4/BtorYXb/5f83ZNo5t4LqRmxriLhSIM5Dr3xxhu88cYbsS5DCCGEEEIkAbXIn/83zzlWMy3dMsEsBrzxxhu8++67fvfv2LEj4P5h2Uuhr0NNxF6psUryl8PJZlfbUCMTag6obNuJC0KvSUSWrRB6WsKTuz0a3S1Q9Uco3RAf0RImq9qOdoK5rwve+yFMvRlm3B65ukRCkB6eEgf/pYsrmUwmTCZZnVQIIYQQQkRen2uEDOZ0E81dTnRdj2JVIp6ZTCaMRv9piyPtH5a9TG2vjMlwdqspQsnLDJ/0fLUNNYO5dj9Mvj72+bpiZBlhuqkwWideB3df/CyMZ/JOMDu7Rnf8wWfU79Xt35LpZTEi6eEpksEch9asWRPrEoQQQgghRJJwuj2kp/p/W5BjNdPn8tDtdGM1y9sHod6vBMpgXrFiRXAZzAAFcwBNNZjnrht4vuk0oKuIDBEexlS1qGIoDea+Trj0MSz/6/DVJSLHN7XeXg/ZxZG/XvlmyJkGkxdF/lqjYfRmMLtGMcHc0wrv/xhmroKpcRDvIeKe9PAUmWAWQgghhBAiifW5dcyBMpgtaiqnWXKYRSSZ0yG3BOqPDX3eUaW2EpERXjZ7aNOs5w+B7oZiyV8eF8IVizIaHZfh9C41vRwv07/9E8yjyGDe93PoblbZy0KIUZMGcxx67bXXeO2112JdhhBCCCGESAIqgznQIn9mAJo7JYdZKK+99hrvvPOO3/3bt28PuN8ve+nVERmNp9Q2d0bw5xP+2QpCm2CuPQBoMGVx2EoSEZRRqLYdUVjor3KruvkQL/EYMJDBPNIEc1cT7PtXtQjcpOsiX5dICNLDU6TBHIcsFgsWiyXWZQghhBBCiCTgdHswBVzkT00wt8gEs/CyWCykpaX53Z+WlhZwv1+F86HpDPQOitdwVEPGJEi1jaFS4ZetADpDaDDX7IeCuWDJDl9NInKsEwBNRWREWvkWyJ+rbhjFC+MoM5j3/EgtNrry6cjXJBKG9PAUCVGLQ6tWrYp1CUIIIYQQIkk4R1jkLyddTTC3dMsEs1BWrVoVMIP51ltvDT6DGbwNKR0un4ApN6jnHKckfzkS0kOYYPa44fwHMH9jeGsSkZNiVIs7Rjoio/UC1OyFlXEWL9HfYA4wwdxeBwd/CQseVjdPhBgl6eEpMsEshBBCCCFEEutz65gCZTBbJYNZRIlv4rG+XG11XUVkSP5y+KVPUJOao8mkvVJDJfS2QZHkL48rGSHmbo9GxRa1LdsQ2esEy2CAlFRwBfh53/1D8Djhtm9Ery4hEog0mOPQ1q1b2bp1a6zLEEIIIYQQSWDEDGaLd4JZMpiF19atW9mxY4ff/du2bQu436+sYjBnDOQwdzVBTwvkzRpjpcKv9Hy17WwM/rU1+9W2eEn46hGRZ7OrKd1IKt+ssovz4jAz3WTxP8HcfA4O/ydc92m12KgQQZAeniIN5jiUlZVFVlZWrMsQQgghhBBJYKQMZrPRQLo5RSaYRb+srCxsNv+ZyBkZGQH3+2UwgH3eQIPZ4V3gb4I0mMOuv8F8OfjX1h4AWyFkTw1vTSKybIWhLew4Ekc1XPwwvhb3G8xk8Z/BvOsfQTPArV+Pbk0iIUgPT5EM5ji0cuXKWJcghBBCCCGShGowB547ybaaaemSCWahrFy5MmAG88033zy2DGZQMRnlm1U8hqNKPReP05DjXUgTzAfU9LLm/8aUiEMZdrWwo8ejbuaEmy8eo/SB8J87HIxp4BpmgrnxFHz0O1jyRciaHP26xLgnPTxFJpiFEEIIIYRIUrqu43TrIzaYc9JNNEuDWUSDvRR6WqH1vGr8GEwyKRsJ6XlqG+wEc+sFaK2B4mXhr0lEls0OHhd0OSJz/mOb1c9F1pTInD9UJsvwmeM7vw9GCyz/avRrEiKBSIM5Dm3ZsoUtW7bEugwhhBBCCJHgnG4dUDEYgeRYzbR0S0SGULZs2cL27dv97n/zzTcD7g/IXqa29RVqgjm3BAwpYzuX8M83wdwV5ARzrTd/uUjyl8cdm11tI7HQX30lXD4ev/EYoBrMV04w1x1Tk9dLvwi2/NjUJcY96eEpEpERh/Ly8mJdghBCCCGESAJOtwcgYAYzqIiM883DTH6JpJSXl0dXl58sUyAnJ4fu7jH+vBTMU9v6ctVglvzlyDDbVGRAsBPMNQfAZIXC+ZGpS0RORqHadtQBZeE9d/lmlWE87/7wnjecjMNMML/zD5CaBTd9JTY1iYQgPTxFGsxxaMWKFbEuQQghhBBCJIGBBvNIE8wSkSEGrFixImAG87Jly8aewZyWqSIx6j6GptNwzZ1jrFIEpGlqijnYDOba/TD5ekgxRaYuETm2ArVtD/MEs65D+UswfUV8TwGb0qCraeD72g/gk7fg9m+BJSd2dYlxT3p4ikRkCCGEEEIIkaT6RtlgzraYaO124vbo0ShLJDt7GVTvBHcf5MkEc8RY84KbYO7tgLpyKF4auZpE5Nh8E8xhbjBfPALNZ2H+xvCeN9yujMh457vqJsuSL8auJiESiDSY49BLL73ESy+9FOsyhBBCCCFEguvPYB6pwWw1o+vQJjnMAvV+Zdu2bX73v/766wH3j8heCr1t6nHezLGfRwQW7ATzhUOgu6XBPF6ZrZCaGf4Gc/kWtRjnnHXhPW+4DY7IOLMbzuxSC/ul2mJblxj3pIenSERGHCosLIx1CUIIIYQQIgk4Xd4JZmPgDOacdPVx+JZuJznp5ojXJeJbYWEhfX3+I1MKCgoCZjSPyF468FgymCMnPR8ajo/++Jr9gAZTFkesJBFhtgJorwvf+Twe1WCetRos2eE7bySY0lSDWdfh7e9C5mS44U9iXZVIANLDU6TBHIeWL18e6xKEEEIIIUQSGG0Gc7ZVNZWbu/qYTnrE6xLxbfny5QEzmG+88caxZzCDisgASMtWMQ4iMtInqIgMXVeZzCOp2a+a/2lZka9NRIatMLwTzDX7oP0ilH03fOeMFKMFXN1wajucPwjrfqyazkKESHrbPu/OAAAgAElEQVR4ikRkCCGEEEIIkaR6XaNd5E81mFtkoT8RDbnTVTMob+boGp9ibNIngLsXettHPtbjhvOHoGhJ5OsSkZNhD2+DuXwzmKww+67wnTNSTN6IjHe+CznT4bpPx7oiIRKKTDDHof/+7/8GYNOmTTGuRAghhBBCJDLfBPNIGcw5VhWR0dwpGcxCvV+5dOkSDz/88LD7X3nlFXp7e7nmmmvGdgFDilowLG9GCFWKEaXnq21XI6RlBj62vgL62iV/ebyz2aE9TA1mtwsqt8I1a8E8Dj7ZYrKohUPrjsEDz0CKKdYViQQhPTxFGsxxqKioKNYlCCGEEEKIJOBb5G/EiAzLQESGEEVFRei67nf/pEmT6O7uDu0i638W2uvFyHwN5s5GyC0JfGzNfrWVBvP4ZrODs1NNradmhHauM+9ClwPKHgxLaRFn9MZh5M9RN7CECBPp4SkhN5g1TUsBDgEXdF1fp2nadOAFIA84DDyu63qfpmmpwLPA9YAD2KTr+tlQr5+IbrrppliXIIQQQgghkkD/BLMxcIM5I82IQYOWLplgFur9yoQJE/zuX7x4cWgZzCI60r1/hp2XRz62dj9kTIIsaaSMaxnexcg6GkJvMJdvgdQstcDfeOCbsl75tPqUhBBhIj08JRwZzH8JDF569gfAj3Rdnwk0A096n38SaPY+/yPvcUIIIYQQQogY6etf5C9wzq3BoJFtNdPSLRPMQiQMaxAN5poDULxEMrHHO1uB2rbXhXYeVy8cfw3mrgNjauh1RUPpBrj/FzD33lhXIkRCCqnBrGnaFOAe4Ffe7zXgduAl7yG/Ae73Pl7v/R7v/ju8x4srPP/88zz//POxLkMIIYQQQiQ45ygX+QPItppolglmgXq/8vrrr/vdv3Xr1oD7RZzon2BuDHxc63loOw9FEo8x7tl8E8whNphP/RF626BsQ+g1RUt6Hiz8lNwkEWEnPTwl1IiMHwNfB3yfrcgDWnRdd3m/Pw9M9j6eDNQC6Lru0jSt1Xv8kH/NNE37PPB5gOLi4hDLG5+mT58e6xKEEMNwe3ReOXqB1fPsZKTJohBCCCHGP18G80gRGQA5VjMtksEsUO9XUlL8f8S8qKgo9AxmEXkmC5gzRm4wS/5y4hgckRGK8s1gzYPpt4VckhDjnfTwlDE3mDVNWwc06Lp+WNO028JVkK7rzwDPANxwww3+V45IYEuXyj/cQsSjH2w7wTO7T/OV22fytTWzY12OEEIIETKne/QTzDlWExdbeiJdkhgHli5dSm5urt/9119/vWQwjxfpE0aOyKjZD6Z0sJdFpyYROZYcMJhCi8jo64RPtsG1j0JKyMt6CTHuSQ9PCSUi42bgPk3TzqIW9bsd+BcgW9M0398yU4AL3scXgCIA7/4s1GJ/QggR935/qJZndp/GlKLxx8r6WJcjhBBChMVoM5gBsiwywSxEwhlNg7l2P0y5QZqJiUDTwGaHjhDez5x8C5xdUPZg+OoSQox7Y24w67r+TV3Xp+i6Pg14BHhH1/XHgJ3ARu9hnwFe8T5+1fs93v3v6LqelBPKI3nuued47rnnYl2GEMLr0Nkmnn65nOUzJ/A/75zNibp2zjk6Y12WEEIIETLfBLN5lBPMksEsQL1feeWVV/zu37x5c8D9Io6k50NXgLmv3naor5B4jESSEWKDuXwzZEyC4mXhq0mIcUx6eEpIi/z58TfAVzVNq0JlLP/a+/yvgTzv818FvhGBayeE2bNnM3u2fPxeiHhwvrmLLz53mMk5Fv71U4u4q2wiANsrZIpZCCHE+BfMIn856Wa6nW56nO5IlyXi3OzZswNmTs6YMUMyKceLkSaYz38AugeKlkSvJhFZNju0j/G9THezWuCvbAMYItFOEmL8kR6eEpbPuOi6/i7wrvfxaeDGYY7pAR4Kx/US3eLFi2NdghAC6Ox18WfPHqbX5eGFJ24gy2oiy2pi7sRMtlfW8We3lsS6RCGEECIkvkX+TKNY5C/bqha4be12kmbyv8CbSHyLFy8mKyvL7/6FCxdKBvN4kZ6vFvnzeIZvGNYcAM0AU+Q9asKw2aH2wNhee+IN8DhVg1kIAUgPz0duOQkhxDA8Hp2vvniUk3Vt/OxTi5hZYOvft2aenUPnmmns6I1hhUIIIUTogslgzrGaAWiWHGYhEod1Auhu6GkZfn/NPrCXQlpmdOsSkZNRqGJR3GOIPDr2EuRMh0mLwl+XEGJckwZzHHr22Wd59tlnY12GEEntxzs+4Q8V9Tx9zzxWXJM/ZN+dpYXoOrx9XGIyhBBCjG++DGbTKD7q7Jtgbu6UHOZk9+yzz7J161a/+3//+98H3C/iSLr3/3M7G6/e53bB+UNQJPnLCcVWoLYdDcG9ruMynNmlFvfTRr4pKUSykB6eIsvAxqHS0tJYlyBEUnvto4v85J0qNt1QxJ/cPO2q/XMnZjAlx8IfKurZtLg4+gUKIYQQYeJ0ezAaNAyGkZsF2RY1wdwiE8xJr7S0FJvN5nf/7Nmz6erqimJFYszSJ6ht52XIv2bovvpycHbKAn+Jxlaoth11kDV59K+r3KryuMsejExd/4+9+wxv47zyv/9FJQj2Coq9imJR78WSbFnFJSuXdVziuk7sOMnjtE3dZEvi3b8TJ7ubbIoTx7FclMhVluMmKbbVrC6rUhLFLvZeQRJEmecFSIikSIodAHk+1zUXgJnB8KZEEsBvzpxbCC8lGZ6TBMweaOHChe4eghDT1pmyJv759dMsSQzlp7dloxrg7LxKpWJDZhSvHCmhzWLD30f+lAohhPBOVrsyrAn+AEL8uiuY26WCebpbuHAhAQEBg26fM2eO9GD2Fq4K5gEm+uvp0ysT/E0tASbn7UgrmM+9CREZYMoc/zEJ4cUkw3OSFhlCCNGtuqWTL710nHB/H35//wL0Q0x4tCHLRJfNwb5LQ8y6LYQQQni4LptjWP2X4UoP5qYOqWAWYsroXcHc3+VDEBgLwXGTOyYxsfy7A+bWquE/p7nM+fMg1ctCiEFIwOyBtmzZwpYtW9w9DCGmlU6rncdeOk5bp43nH15EmL/PkPsvSgghxKhjV84I3pgJIYQQHsZqdwx5QrU3g06DQaemSSqYp70tW7bw1ltvDbr91VdfHXK78CDGMOdte33f9YoCl49AvFQvTzl+PT2YRzCfTM525232HeM/HiG8nGR4TnJdtweaN2+eu4cgxLSiKArffeMMZ8qb+eMDi5gVde1ZsrUaNTdmmPgwpwqr3THsy4uFEEIIT+KsYB7+a1iIUU+jWSqYp7t58+ZRUlIy6PasrCw6OjomcURi1DQ68A25uoK5uRRaK2SCv6lIq3eeWBhJwHzuTYieD2EpEzcuIbyUZHhOEjB7IPnhFGJy/W5PAe+cruC7m9JZn2ka9vM2ZEXx+okyDhfWc11axASOUAghhJgYIz1JGmzUSw9mwbx58zAajYNuz87Olh7M3sQYfnXAfLm7/7JUME9N/iZoHWbAXF8AFSdhw1MTOyYhvJRkeE5ScueB7HY7drvd3cMQYlrYmVPFMztzuW1eNE+sGdkZ+evSwvHVadiVM4Kz/0IIIYQHcU7yN7wezADBvjqa2qWCebq71ucV+TzjZfwiwNyvRUbpYdD7Q2SWe8YkJpa/CdqG2ervXHe7myxpjyHEQOQ1z0kCZg/08ssv8/LLL7t7GEJMeRcqW/jmq6eYGxfM03fOQaUa/gdscPaiXD0znN3nq3E4lAkapRBCCDFxukZYwRzip6OpQyqYp7uXX36ZHTt2DLr9jTfeGHK78DB+A1UwH4bYxaCRi56npIAoaKsZ3r7n3oT4FRAUM7FjEsJLSYbnJK8WHmjBggXuHoIQU15dm4UvvnicQIOO5x5YiEGnGdVxNmRGsTOnmrPlzcyNCx7nUQohhBATy2p34DPMSf7A2SJDKpjFggULKC4uHnT77NmzaW9vn7wBibHxi4DiA1cedzZDdQ6s/b77xiQmln+kswezosBQRTbVOVB7AW7+xeSNTQgvIxmekwTMHmjOnDnuHoIQU5rFZueJV05Qb7bw+uMriAw0jPpY6zIi0ahV7DpfJQGzEEIIrzPSHswhRh1N7VYURRnxlT9i6pgzZw4Gw+DvnzIzM6UHszfxC4eOBrDbnBXLZccABeKk//KU5R8F9i7oaARj6OD7nXsTVBrIvG3yxiaEl5EMz0laZHggq9WK1SqXHgoxERRF4Ufbz3GsuJFf3DWX2bFBYzpesFHP0qRQ6cMshBDCK1ltyggDZj02h0KrxTaBoxKe7lqfV+TzjJfx656suqPBeXv5CKjUELvIfWMSE8s/0nnbNsRnGEVxBszJa8BfJjQXYjDymuckAbMH2rp1K1u3bnX3MISYkp4/UMTrJ8p4cl0at86JHpdjbsg0kVfTRmGtVOoIIYTwLl12B7oRtsgAaDLLB6npbOvWrfztb38bdPtbb7015HbhYfzCnbc9fZhLD0PUbPAJcN+YxMQKiHLetg4x0V/FZ9BYDNl3TsqQhPBWkuE5ScDsgRYtWsSiRXK2WIjx9kluDf/1/gVuyo7iG+vSxu2467Ocb9B2nZcqZiGEEN7Faneg1wy/1UWwrw6ARunDPK0tWrSI7OzsQbfPnTt3yO3Cw/RUMJtrwW6FsuMQt8y9YxITy787YB6qgvnsm6DRw6xbJ2dMQngpyfCcpAezB5I3Y0KMv/yaVp78y0lmRQXyy8/PRa0ev76RMcG+ZMcEsiunii+vSRm34wohhBATbcQ9mP2cAXNTh1QwT2fZ2dno9fpBt8+aNUt6MHsTY08Fcx1UnQVrO8RL/+Up7VotMhwOyHkLUteDr8wzI8RQJMNzkgpmD9TZ2UlnZ6e7hyHElNFo7uLRF4/jo9Pw3EOLMOrH/9zaxswoTpY2UdMiv7tCCCG8h9U+sh7MrhYZUsE8rXV2dmKxWEa9XXgYVwVzHZQecd6XCuapzScAdEZoHSRgvnwIWish+47JHZcQXkgyPCcJmD3Qtm3b2LZtm7uHIcSUYLU7+OpfPqOyqZM/PLCQmGDfCfk6G7KiUBT4+4WaCTm+EEIIMRG6bCOsYO4OmBvNEjBPZ9u2beO9994bdPuOHTuG3C48jG+Ic1I/cy1cPgxBcRAU4+5RiYmkUoG/CdoG6cF87g1nAJ1+0+SOSwgvJBmek7TI8EBLl8rlSEKMl5++e56DBfX84q65LEwImbCvM9PkT0KYkZ05Vdy3NH7Cvo4QQggxnqx2B3rt8NtGBfnqUKmgsV1aZExnS5cupbi4eNDtCxYsoL29ffIGJMZGrXa2yTDXOAPmpOvcPSIxGfxN0DZAcYzdCud3OMNlvd/kj0sILyMZnpMEzB4oIyPD3UMQYkp4+XAJLx0q4fHVyfzjwtgJ/VoqlYoNmSa2HCymtdNKgEE3oV9PCCGEGA8j7cGsUasINOikRcY0l5GRgUajGXR7Wlqa9GD2Nn7hUH7SWdEaJ2HJtBBggurzV68v2gvt9ZB95+SPSQgvJBmek7TI8EDt7e1yxl+IMTqYX8e/v5PDDbMi+e6mWZPyNTdkRWG1K+zJrZ2UryeEEEKM1Uh7MAMEG3VSwTzNtbe309HRMej2jo6OIbcLD+QXDtVnnffjpf/ytOAfNfAkf2ffBJ8gSL1x8sckhBeSDM9JAmYP9Nprr/Haa6+5exhCeK3iOjNPbP2M5HA/fnXPPDTq4V/6OxYL4kMI99ez6/wgk2UIIYQQHqZrhBXM4Jzor6lDAubp7LXXXuODDz4YdPs777wz5HbhgXom+vMJhMhM945FTA7/SLC0QFevYMzaCRffhYxbQevjvrEJ4UUkw3OSFhkeaPny5e4eghBeq6XTyhdfOo5aBc8/tHhSW1Vo1CpuzDDx7plKLDY7PtrBLx0VQggh3E1RFGcPZs3ITsSGGHU0yCR/o2KxWPDx8f7QZvny5RQVFQ26feHChVLN5W16AubYRaCW97DTQkCU87atGkKTnPfz/+4MnaU9hhDDJhmekwTMHig9Pd3dQxDCK9kdCk/+9STFdWZefnQp8WHGSR/DhiwT246VcqignrXpkZP+9YUQQojhsjkUFIURVzCHGPUU1Ep/3Wupr6/n4sWLriU3N5eAgAC2bt3q7qGNWXp6OirV4CcmUlNTpQeztzGGO2/jJSiZNvwHCJjPvQnGMEha475xCeFlJMNzkoDZA/W8GfP393fzSITwLk9/cIE9ubX81+2zWZ4S5pYxrEgJx6jXsOt8tQTMQgghPJrV7gBApx15D+Yms7TI6KEoCtXV1a4QuSdQrq29MidDfHw8WVlZZGdnu3Gk46etrQ2z2Tzo5xWz2YzZbJ7kUYkx8esOmGWCv+nDv/uzSk8fZksb5H4A8+4DjURFQgyXZHhO8lfDA73xxhsAPPzww+4diBBe5PXjpTy3v4iHlidw39J4t43DoNOwNj2C3eereWpzNupJ6v8shBBCjJTVpgCjq2ButdiwjqJ/s7dTFIXy8vI+lckXL16kqakJALVaTWJiIosXL2bWrFnMmjWLmTNnTrkPnW+88QZVVVU8+OCDA25/9913sVgszJ8/f5JHJkYt/WZouiwVzNNJT4uM1u6A+dKHYOuA2f/ovjEJ4YUkw3OSgNkDrVq1yt1DEMKrHC9u4F+2n2NVajg/vtX9k5JszIri/bNVnCprYkF8iLuHI4QQQgyoq7uCeaQ9mIONzvkNmtqtRAR4fz/hwXR2dlJYWMilS5e4dOkSeXl55OXluSqVNBoNKSkprF692hUmp6Wl4evr6+aRT7xVq1YN2YN5yZIl0oPZ2wSY4MZ/c/coxGQyhoFKA21Vzsfn3oSAaIhb5t5xCeFlJMNzkoDZA6Wmprp7CEJ4jbLGdr78ygliQnz57X0L0HpAJdXa9Ei0ahW7cqolYBZCCOGxXC0yRvjaGWzUA9Dc0TVlAua6urqrguTi4mIcDue/ka+vL2lpaWzcuNEVJqekpKDX6908cvdITU11/dsMJCkpSXowC+Hp1Brn5I5t1dDRCHm7YenjoHb/5ykhvIlkeE4SMHug5uZmAIKCgtw8EiE8m9li40svncBic7DtwUUEdVdUuVuQr47lKWHsyqnie5uGngRHCCGEcJfRBswh3a+3je3e14fZZrNRXFxMXl5en0C5oaHBtU9UVBRpaWlcf/31pKWlkZ6eTkxMDGoJXVyam5tpbW0dtPVHS0uL9GAWwhsEmJwtMi68Cw4rZN/h7hEJ4XUkw3MadcCsUqnigJcAE6AAf1QU5VcqlSoUeBVIBIqBzyuK0qhyJiy/Am4G2oGHFUX5bGzDn5q2b98OSP8WIYbicCh867VT5Fa18MIjS0iN9KzehhsyTfx4Rw4FtW2kRga4ezhCjKuOLjtNHV00tVtparfS3HO/w/lYq1bx5Lo09COcOEwIMbl6AuaR/q6GdFcwN5q7xn1M40VRFCorKykoKKCgoID8/HwKCgooLi7GanUG4zqdjuTkZFauXMnMmTNJS0sjLS1t2n9AHI7t27cP2YP5gw8+wGKxsHDhwkkemRBiRPyjoLXC2R4jJAmiF7h7REJ4HcnwnMZSwWwDvq0oymcqlSoAOKFSqXYDDwMfKYrytEql+j7wfeB7wE1AWveyFPh9963oZ/Xq1e4eghAe73/+fomdOdX8662ZrJkZ4e7hXGV9ZhQ/3pHDzpxqCZiFR1IUhfYuO43tXd0hsbU7JO79+Epw3Nxrm8U2+GXRGrUKu0MhKzqQm2bPmMTvSAgxUl2jnOSvdw9mT9DY2OgKkHvC5MLCwj4VtCaTidTUVJYvX05qaiozZ84kMTERrVYu6ByN1atXD9mDedmyZdKDWQhv4B8JJZ9CdQ6s+hbIlZdCjJhkeE6jfkelKEolUNl9v1WlUl0AYoDNwNru3V4E9uAMmDcDLymKogCHVSpVsEqlmtF9HNFLcnKyu4cghEfbcaqc//s4n3sWx/HIykR3D2dAUUEG5sYFs+t8NV+9XnoyiYmjKAqtFhvN7VZXWOwMhPtWFfevMm7u6MJqVwY9rkGnJthXT7BRR5CvjsRwI8G+wc7HRp1rW7Bv92OjnmBfHT5aNcuf/pi3TpZLwCyEh7tSwTyyQMFVwdw+uRXMLS0tFBUVUVRU1CdM7t3eIigoiJSUFG655RZSUlJITU0lJSVl0FYOYnSSk5Ox2WyDbk9ISJAezEJ4g4Ao6Or+Xc2+071jEcJLSYbnNC6n7FUqVSIwHzgCmHqFxlU4W2iAM3wu7fW0su51EjD309jYCEBIiEwOJkR/p0ub+O4bZ1iSGMpPNmd7dH/jDZkmntmZS1VzJ1FBBncPR3g4u0OhtdPqCoEb27ucVcPtXb1C4SuPm3uC5A4rdsfgQbGfXkOwUU+Qr45go46ZJn+CeoXDzgC5+3Gv4Nig04z6e9k8N5oXDxXTaO4ixG96ToAlhDcYbQ9mo16DTqOakB7MiqLQ2NhIYWGhK0zuWerq6lz7GQwGV3uLnhA5NTWVsLAwj35vMFU0NjbS3Nw8aHDf1NQkPZiF8Ab+3XFNZCaYMt07FiG8lGR4TmMOmFUqlT/wJvANRVFaer+hUxRFUalUg3/qHfh4jwGPAcTHx491eF5px44dgPRvEaK/6pZOvvTScSICfPj9/Qs8vr/rxixnwLz7fBUPLE9093CEB1EUhX95+xw55c2u8Lil04oyxCtmgEHbJwCOCfbt89gZIPcOjp2hsjt+T25fEMOfDhTx7pkK+dkXwoN1jTJgVqlUBBv1NHeMvoJZURRqamooKiq6KkzumSwHwM/Pj8TERJYvX05iYiLJyckkJSURHR0tk+650Y4dO4bswbxz504sFguLFy+e5JEJIUakJ2CWyf2EGDXJ8JzGFDCrVCodznB5q6Iob3Wvru5pfaFSqWYANd3ry4G4Xk+P7V7Xh6IofwT+CLBo0aIRhdNTxdq1a909BCE8TqfVzmMvHcdssfHSoysI8/dx95CuKSXCn+RwP3adr5aQTfRxuqyZvxy5zLy4YObFBXe3mdC7KoqDe7WcCDbqCTRo0Y4wAHKnzBmBpJsCeOtk+YT97Ftsdny0o6+yFkLgapMz0oAZIMSoo9F87Qrmzs5OLl++TElJyVVL7wrXoKAgkpOTueGGG1whclJSEpGRkVKR7IHWrl1LYWHhoNtXrFghFcxCeIP4ZZC2Eebd7+6RCOG1JMNzGnXArHK+03seuKAoyn/32vQO8BDwdPftjl7rv6ZSqbbhnNyvWfovDywxMdHdQxDCoyiKwnffOMOZ8mb++MAiZkUFuntIw6JSqVifZeL5/UU0d1gJ8tW5e0jCQ7x9shy9Vs1Ljy4h0DD1fi5UKhW3L4jh6Q8uUlRnJincb1yPX1xn5qZf7ef/7p3PjZmmaz9BCDEga/eEnfpRBMzBRr2rB7Pdbqe6unrAELm6urrP86KiokhISOCWW25xBcnJycnT/rJSb5OYmEhX1+AV7HFxcdKDWQhv4B8JX3jN3aMQwqtJhuc0lgrmlcADwFmVSnWqe90PcQbLr6lUqkeBEuDz3dveB24G8oF24JExfO0prae/XHh4uJtHIoRn+N2eAt45XcF3N6Wz3svCpI1ZUfxhbyF7cmvYPC/G3cMRHsBmd/DumQpuzIickuFyj83zovnZhxfZfrKcb62fOa7H3nKwmA6rnY9zayRgFmIMXD2YhzHJn6Io1NfXU1paSmlpKe2njtJQVcHdH/8vpaWlfcJGPz8/EhISWLBgAQkJCSQmJhIfH098fDwGg8xJMBXU1dXR0NAwaA/mhoYGCZiFEEJMC5LhOY06YFYU5QAw2LvRdQPsrwBfHe3Xm07effddQPq3CAHw4bkqntmZy23zonliTYq7hzNi82KDiQjwYVdOtQTMAoAD+XXUtXVN+Z+HGUG+LE8O4+2T5XzzxrRxu8S9tdPKGyfKADhe3DAuxxRiuurfg9lut1NTU0NZWZkrSO65X1ZWRmdnp+u5KrUGxRhC9PwMVqxYQXx8PAkJCSQkJBAaGiptLaa4d999d8gezLt378ZisbBs2bJJHpkQQggxuSTDcxrzJH9i/K1bd1U+L8S0dL6ihW+9doq5ccE8feccr/ywqlarWJ9pYsfJcjqtdgw66Rk73e04VUGgQcva9Ah3D2XC3T4/hu+8cYbPLjeyMCF0XI755oky2iw21mea2H2+mqb2LoKN+nE5thDTgcViobKykvLycg4fysEv9wzP/PtO6qorKC8vx2q90ldZr9cTExNDbGwsS5YsIS4ujtjYWOLi4njxVCMvHi7jv3+6yStfn8XYrFu3bsgezKtWraK9vX0SRySEEEK4h2R4ThIwe6C4uLhr7yTEFFfXZuFLLx0n0KDjuQcWenUwuyHTxF+OXOZgQR03zJLL+aez9i4bO3Oq2DwvZlpMUHfT7Bn8eMc53vqsfFwCZodD4cVDJcyPD+aLq5LYfb6a48WN0iZDiF5sNhs1NTVUVDgD44qKij73ey7j7GHQ6KnXx5OUlMTq1auJi4tzBcmRkZGo1QP3Zw4rsNBlc9BhtWPUy0eK6SYuLo6Ojo5Bt8fExEiLDCGEENOCZHhO8m7QA9XU1AAQGRnp5pEI4R4Wm50vv3yCerOF1x9fQWSgd/drXJESToCPll051RIwT3O7z1fT3mXntnnR7h7KpPD30bIhM4p3z1Tyr5/LHHOovvdSLUV1Zn51zzzmxgWj16g5VtIgAbOYVmw2G3V1dVRVVVFVVdUnRK6oqKCqqgq73e7aX61WYzKZiI6OZvny5cTExBAdHU10dDSHqhR+9kk5u368njB/nxGNI8To7CHf2G6VgHkaqqmpob6+ftAezHV1dZjN5kkelRBCCDH5JMNzkneDHuj9998HpH+LmJ4UReFH289xvKSR3963gNmxQe4e0pjptWrWzork7xeqsTsUNGq5lHi62n6ynJhgXxYnjk+7CG9w+4IY3jldwScXa9mUHTWmY71wsEwHGzQAACAASURBVJjIAB9uyp6BXqtmdmwQx4sbx2mkQniGtrY2V3hcVVVFdXU1lZWVrse1tbV9AmSAsLAwoqOjyc7OZsOGDX1C5KioKLTagd/yH99fCKoKdNqBq5SH0tOaptHcRUyw78i/0Wmi02qnqM5MXk0b+dWtlDd18svPz3X3sMbs/fffH7IH80cffYTFYmH58uWTPDIhhBBickmG5yQBswdav369u4cghNs8f6CI10+U8eS6NG6ZM8Pdwxk3GzJN/O10BScvN7JoGoWL4oq6Ngv78+p4bHUy6ml0kuG61HDC/X3YfrJsTAFzfk0b+y7V8u31M9F3h2GLEkP484GiCetvriiK9JYV46q9vZ2amhpqa2upqamhpqaG6urqPoFy/7YCGo2GqKgoTCYTCxYsICoqqs8SHR2NwTC6K316JvnTa0YeMId0B8xN7dZr7Dk9mC02CmrbyK9pI6+mjbzqNvJrWrnc0I5Dce6jVkFCmB9miw0/H+/+GLZ+/fohezCvXr1aejALIYSYFiTDc/LudzZTVExMjLuHIKaJgto2tnxaTFZ0IPcsiR9wn/o2Cy8dKuH+ZQlEBIzs8tmR+iS3hv96/wI3ZUfxjXVpE/q1Jtva9Ah0GhU7c6okYJ6m3jtTid2hcNu86fU3XqtR8w9zo3n5cPGYJuR76VAxeo2ae5de+Vu1JDGUP+wt5HRpE0uTw8ZpxE52h8Idv/uUWVGBPH3nbAmaxZAcDgdNTU1Xhcf9Hw/UkzYwMNAVFA8UIIeFhaHRTEzPdqvNmXzqRhUw97TI6BrXMXm65g4r+TVtFNS0kVfT6gqTy5uu9CPWaVQkhfuRGR3IP8yLIS3SnzSTP4lhfl49p0RvMTExQ7bAmDFjhvRgFkIIMS1IhuckAbMHqqqqAiAqamyXEgsxmJOXG3l2bwG7zlejKBAT7DtowPzq8VJ+9VEeW4+U8Mxdc7k+fWL6CuXXtPLkX04yKyqQX35+7pSr8Aww6FiREs6u89X88OYMCaumoe0ny8mYEUh6VIC7hzLp7lgQw58/LeLdM5XcvyxhxM9v7rDyxokyPjc3mvBefWIXJoQAcLykcdwD5r2Xajhd1szpsmZMQQa+tX7muB5feAebzUZjYyN1dXXU19dTV1fX537PbW1tLVZr30petVpNWFgYERERJCQksGjRIiIjI4mIiMBkMhEREUFkZCS+vu5rL2G1O1CrGFXrpqDugLmpY2pWMDeYu8irdgbI+TU9lcmtVLdYXPv4aNWkRPizKDGEeyLiSDP5kxoZQEKYcVShvTfpadcyWA/mmpoazGYzM2fK304hhBBTm2R4ThIwe6APP/wQkP4tYnwpisKeS7U8u6eAI0UNBPnq+Nr1qaiAX3+cT1ljO7Ehxqued7SogZhgXwIMWh554RiPrEzke5tmjWsFTqO5i0dfPI6PTsNzDy2aspMFbcyK4ofbz3Kpum1ahozeQlEULDYH7V122rts3bfO+x297vesH3Cdtfu+xU671fm8urYufnDTLHd/e26RFR1IaqQ/b58sH1XA/PrxUtq77DyyMrHP+mCjnpkmf44WNfDV68dpsN22Hr5MuL8Pa9Mj+PVHeSSEGrlzYez4fhHhFna7nebmZhobG2lsbKShoYH6+vqrQuP6+noaGxtRFOWqYwQGBhIeHk5YWBhz5851hcU9S0REBGFhYYP2PvYUVrtj1EFosG93iwyz91YwK4pCbauluwq5lfzantYWbdT3+r6Meg1pkf6sSo1whsgRzork2BDjtJ1X4cMPP6SqqoqkpKQBt3/yySdYLBZWrlw5ySMTQgghJpdkeE6e/a53mtq0aZO7hyCmEJvdwbtnKnl2bwEXq1qZEWTgR7dkcO+SePx8tORUNPPrj/M5VtxwVcBsdygcL25k87xofnxrJk9/cJEXPi3mUEE9v753PjNNYw9JrXYHX/3LZ1Q2dfLXx5ZN6YmCbsyM5F/ehl05VRIwj5GiKHTZHXR02TF32enoF/iaux8PHAj3DY2dgXD3Y4uNDqvd1S9zONQqMOq1GPUajHoNvt33/X20RPj74OejxVevIchXN+iVAlOdSqXi9vkxPLMzl8v17cSHXX0yazB2h8JLh0pYnBhCdszVk34uTgzlnVMV4zqBZlljOx/n1vDVtal8/cY0Kps7+P5bZ4gO9mV5yvhWSouxUxSFtrY2Ghoa+oTGvW97329qahowNNZoNK7QOCoqiuzsbNfj8PBw1/2wsDD0+tG1evE0XXbHqPovg3MCW38fLY1e0INZURQqmjudIXJPf+RaZ6jc0mlz7Rdo0JJmCmB9ponUSH/STAGkRvoTHWSQK4/62bRpEwUFBYNuv/7664dsoSGEEEJMFZLhOUnA7IGme1m9GB/tXTZeO1bKc/uLKG/qIC3Sn1/cNZd/mBvtmiALYFZUIAE+Wo4WNXL7/L7VeRcqW2iz2FiSFIpBp+FHN6ezLN6ff3nzJP/wzPt8bW0iN2dGYLfbsdvt2Gy2q5b+63s/ttvtvHemgpPF9WyePYOzn1Rz2uHA4XCgKMqAt/3XDeVaHwbVajUqlQqNRoNKpUKtVrvW9dzv/bj/vhqNBo1Gg1arHfbjTEMz7+0/zqZ40Gq111y8/QNtl80ZArdbrwS+ZouNduuV8Lejy4a5X/g7UEjcYXU+13k8O/YRpMAqFRh1V8LfK4uWMH+fPo+dIbEGo677sU93cKzr9VwfbffxNPho1V7//zQZbusOmLefLOfrNw6/x/onF2u43NDO9zYNXP29ODGUrUcuk1vVSmZ04LiMddvRUlTAvUvj0WnU/O4LC7nz9wd5/OXjvPWVlaRGDnxJ+HRS2D2Z2Yas8X3PYrPZaGpqorm5uc/Sf13vxy0tLdjt9gGPFxAQQEhICCEhISQkJDBv3jxCQ0MJDg4mNDTUdT88PJzAwEDU6qnd1qA/q92BTjv67znYqKPJg3ow2x0KZY3t5FV3T7RX0+rql2zuuvIzEuanJzXSn3+YF01aZABpkf6kmvyJ8PeRv+fDFBUVRUtLy6DbIyMjpQezEEKIaUEyPCcJmD1QeXk5II3CxfA4HA46Ozvp6Oigo6ODmoZW3jxeyPsnSzC3d5Acouex5CASg5tpOV3Ac4c7+uzf2dlJWFEtHx/r5JG/+WGxWLBarXR1ddHY2k5oRyc/P6DwX1ar6wO8CvAHtuyBLePwPfgBn+TBJwNs6x3u9g9/x0JRlD6hde/gejLc++7w9usJqPsvOp3OtVzr8WCLXq/vPp4ORaNBUWlxqDTY0WBXqZ23qLEqaroUNVZFRZfDed/iUNNhh04bdFh7hciWXu0krHas9hGUAgO+Oo0r4PXTOyt/jXoNwUYdvnotfj3hb3cY7KvT4OfTHRz3fq6P1nUso16LQSchsLvFBPuyLDmU7SfLeHJd6rD/P144WMSMIAMbskwDbl+U6OzDfKy4YVwCZqvdwbZjpVyfHum6oiLIV8cLDy/m9t99yj9tOcb2r6wgzH9iJz31VNUtnfzv3/N47XgpdofCO19byZzYYNd2RVGwWCy0trbS2tpKS0sLbW1ttLS0uNb1X3r2aW5uHrLiUa/XExQU5FqSk5MJDg52Pe4JjHsC5ZCQEHQ63WT8s3gtq00ZdQUzQIhR75ZJ/qx2ByX17eTXtPYKk9sorG3DYrvyOh4VaCA10p+7Fjn7I6dFOiuSQ/2mRgW6O5WXl1NdXT1oD+bKykra29ulB7MQQogpTzI8JwmYPdDu3buBye/f0tpppabVQqfVTqfVgcVqp9Nmp6PL4Vxnc67vtNqxWJ3VhD2PO23OW7tD4Zs3zmR27NWXMYurORwO1wfvtra2qxaz2XzN++3t7QNf6gsEAnXAW3uurFer1fj6+mIwGPD19XXeVxw0dtnRGXwJDg7Gx8cHvV7P0ZJmuizw+eXJrkDSx8fHdf9wSQvvnq3BaNDz6HUpzIkPRavVDhiK9l6n0Wg4WdrCV7edYlVqJL++bwE6reaqCmGVSuWWUHCgqun+IbTdbnfd9l5sNluf9T2V2j3ryurb+OGbp/n8wmiuSw0dsOr7WovVaqWxrZNOSxeW7pMB7V1WrG1mrFYrVpsVu9WGzW7DbrPisNlw2O04HDYUuw0cA1f6jY4KNFrUGi1qrQ61RotOqyNMp0Or06HT6V0/L3q9Hh+9HoPBB4OPHl+DD74+PvgafPA3GjAafFw/e30XTfdy5Tg6nc71s9hzq9GMX19wMTHumB/Ld988w8nSJhbEh1xz/0vVrXyaX893NqYP2ic2NsRIdJCBY8UNPLQiccxj3JVTTV2b5ape0XGhRp57cBH3/PEwX3rpOH/50rJx7UXvbj3BsNls7rP0vM7UNbbw8bnLfFZQhWLtJDtYy+WaRr755F+J9lO59m1tbb1qsrv+fH19CQgIcC0mk4mUlJQ+YXHvpWe9wSBtCsabs4J59P+mwUbdhLfIaG63cqiwnvOVLa5Aubje3OcEZmyIb3eP5DBniGzyJzXSn0CDnGCYKLt376aqqoqUlJQBt+/btw+LxcJ11103ySMTQgghJpe7MjxPIwGzB7r55psn7WtVNXey+3wVO3OqOVxYj20El5z76jQYdGoMOg0GnfMy8cI6M2F+ep65a+4EjtrzKIpCR0cHLS0trst2W1paXJfx9tzvWd+zT2tr6zUrZn18fPDz88Pf3x9/f3/8/PwICwtz3e9Ex+nKDnKqO1E0OhanRnHrggRSokJcAXLvQFmv11/1Af1ESQN3/v4Qd9y/gE3ZM1zf04Kf7mZdhomvD/L/eQfwcEULT247yc9Ot/GlwBD+eWM6PtqhQ5fiOjPfffcUydER/N9DywnwsA+APUH3RPlDro5CvQ9PbVw24ud2dNl5YusJ9uTWDvkXXK9VO6t3u6t4e1f0+uo0GDQKBo2Cjxp81A70KgdatQM9DrSq7kWxo1YcaLCjUmyoHHZw2LHbnKF2V1eXq9r9Wo+t1k4sLc109Nves4wHjUZzVTjdO9we6nHv9f3X9Q6x+1d/92zvvb734+l2uf213DQ7ih/vOMf2z8qHFTBvOViMj1bNvdfoXb0oMZQjRfUoijLmAHLrkRJign1ZPTPiqm3z40P437vn8cTWz/jn10/z63vmo56kCb7sdjsWi8W1dHZ20tnZ2Wddz/qeK1R6lvb2dtcVKz33B1qu1XYIwEetcVYsOvwJRk19q5qZ0dHExcXh5+dHYGBgn/A4MDAQf39/13p/f3+pKvYgXWOY5A+cE22WNXaM44icc0ecLmti76U69ufVcrq0CYfi7HefEOZHaqT/lR7JkQGkRPpN2cmBPdnNN988ZA/mdevWSQ9mIYQQ08JkZnieTN6NeaDIyMgJPX5+TRs7c6rYdb6a06VNACSH+/HF65KZFRXQHRhfCY4NOnV3mKzBoNXgo1MP2nP0q3/5jL2XasflQ767KYqC2Wymrq6OhoYG1yzzPfd7r29oaMBisQx6LKPRSGBgoKsaKz093XW/Z31PgNw7SB7sg7iiKBwtauDZvQV8kluL0U/DvffE8+iqJKJHMUne7JhgfLRqjhY1ugLm/Jo2GtutLEkKHfK5mdGB/O1rq/jP98/z3P4iDhbU86t75g/ao7Sl08oXXzqOWgV/enCxx4XLk2FDloln9xbS1N5FsHH4l+k2d1h5dMsxTlxu5Lub0smKDurVMqJv72DtGAKDyaYoylXB9GCL1Wp1tXHp3c5lOPt3dXVhNptpbGzsFXxffTueNBpNn0B6qJYmvdf3vz/UFQHXWt+zTqPRuHqB9+8TPtjSs0//vuS9+5OP5G99gEHH+kwTfztTwY9vzezTD76/5nYrb31Wxm3zYq55OfvixBDeOV1BWWMHcaFDTyDY/6qEnisMHA4HhTWtHDpfzBNrkqmprhqwj/wMu40H0+z89ZMD/HNdHpvnRg2432A/X/3XdXV1XbV//8DYYrFgs9mG/L4GYzAYMBqNfU44+vr6EhLS9ySk0WjEYDC4Xn8MvkaOlZl583QdtRZYmR7Dt2+Zy9yEMNf/eX5NGzf+914y18/k/1s3/L7aYmBdNge5Va2cLW/mbHkzFU0dfOPGNOYP42TMaFnHMMkfQIhRNy4tMi7Xt7Mvr5b9ebUczK+n1WJDrYK5ccF87YY0rksLZ3ZM0JS6asDbRUZG0tTUNOj28PBwDAbDJI5ICCGEcI+JzvC8hQTMHqi0tBSAuLi4cTmew6FwuqyJXeer2ZlTRWGts5pgbmwQ39mYzsYsE6mRAePytdbOjOC9M5Wcr2whK9oz22T0zDZfXV1NTU0NNTU1VFdXU1tbS319fZ8QeaDKSrVaTUhIiKvXY3x8POHh4X0u4+0JjoODgwkMDBy32eYdDoXdF6p5dm8BJy83Eean59vrZ/LA8oQRBZX96bVq5scHc7S43rXuSFEDAEuvETAD+Oo1PHXbbFanRfC9N89w6//t598+l8U9i+P6hE92h8KTfz1JcZ2Zlx9dSnzY0EHQVLUhM4rfflLAxxdruGNB7LWfANS2Wnjoz0fJq2nlN/cu4JY5MyZ4lJNHpVK5qofdbaCwu3cg2BME9g8F+weH/df1tDbpOUbvxz3req6CGGi//m1SJqtX+HAMNClmTyjde+nZ12p3oO60s2HPz/HpFRb139dssePbaeWzIzpuel7t6psOXHXfZncQ2mnl3oPPoNM4n98/SO4Jk68lDHhtP7x2jf2CgH0nYd8w/516V7f3r5DvuW8wGFyvGT4+PhgMBgwGAz4+PlctA63v2b/3lSsjraJXFIWdOVU8tTOXglqF+Ukp/HrTLJYmh121b2qkP9elhfPKkRK+vDZlTJWw002XzcGl6ith8tmyZnKrWumyO3+3g3x1aNUqHvrzUbY9tnzcJrDsz2pXxlzB3Nxhxe5Q0Iygmr+108qhgnr259WxL6+Wkvp2wNmr/da5M7guLYIVKWFjem8jJlZpaSmVlZWkpQ18cqm8vFx6MAshhJgWxjvD81YSMHugjz76CBhb/5Yum4MjRfXszKli9/lqqlssaNUqliWH8fCKRNZnmpgRNPJK12tZk+68pHhPbq1bAmZFUWhubu4THPe+3/O4o6Pv5ZwqlYrQ0FDCwsIICwsjKSnJ9bgnSA4PDyc0NJSgoKBJ7/VqsdnZcbKCP+wroKDWTFyoLz/dnMVdi+LGrZpnSWIov/kkn9ZOKwEGHUeLGjAF+hB/jWrA3jZkRTE3LphvvXaKH7x1lj25NTx9xxxCuqsPn/7gAntya/mv22ezPOXqsGK6mB0TRFSggZ05VcMKmMsa23ng+aNUNXfyp4cWs2aAS/fF+PCksHsoDodjwKrZgZb+fcJ7L72P0xPA9u8jPlAfcrvdPugkmf0f9w6DAewOB2+eKMM3wIfr0sIHDI0dDgfvna0kWK9ldYapT0Ddc9u/evrVY6VEhPuzIjXcta0n9O4JvHuqsnsvPevsCvzP3/NJMQVw39LEq/rG968MR6Xm6Z2XOFvRxlO3z2FRckSf/XqHyFqt1iuu6jlYUMfPPszldGkTqZH+/OGBhWzINA059odXJPLoi8fZmVPFrXOiJ3G03sNqd1Ymn+sJk8ubuVh5JUwONGiZHRvEI6sSmRMTzOyYIOJCfSlv6uCuZw/x4J+P8Nrjy0mOGPjKoLGOreekzGiEGHUoCrR0WF2v9QOxOxTOlDWxP8/Z9uKzy03YHQpGvYblyWE8siKR62ZGkBzu5xW/K8L5eaWqqmrQgPnAgQNYLBbWrFkzySMTQgghJtd4ZHhTgQTMHujWW28d1fPMFht7L9WyK6eKjy7W0Nppw1enYW16BBuyTNyQbiLIOLHtCCIDDGRFB7Int4avXp867sdXFIWWlhYqKiooLy+nvLyciooK1+Pq6uqrWlWo1WoiIiKIjIwkNTWVFStWYDKZMJlMREZGYjKZCA8PdwYGHqa108pfj17m+QNFVLdYyJwRyK/vnc/N2VHj3gJhSVIYjo/zOVHSyJqZERwtamBJUtiIP+iZAg28/E9LeW5/Ib/YlctNv9rPf989l7LGDp7bX8TDKxK5b+nQ/VSnOrVaxfpME6+fKKWjy46vfvCTBPk1bTzw/BHaLDZe+eISFiZcu6JcTH1qtdrjQ/ChdL2Tw1+OXmbbN28kyPfq16UPz1XxQscJnr1/IZuyo4Z1zNwXjlLa2MF3vjW6MOONE2U0ngvm219aNuwTYH/Oms0//v4gP9nfyPbZGSSN09VAk+1ceTM/35nLvku1zAgy8PM753DHgphhvc6sTY8kPtTIiweLJWDGGdhequ4VJpc1c6GqlS6bM0wOMGiZHRPEIysTmR0bxOyYIOJDjQO+1saGGHnli0v5/LOHuP9PR3jty8uJDRnfK3+6bGPrwRzSXWHc2N51VcBc3tTB/ku17M+r40B+Hc0dVlQqyI4O4strkrkuLYIF8SFDtsoRnuvWW28lPz9/0O3r16+nra1tEkckhBBCuMdoM7ypxvMSNUF4ePiw961vs/D3C9Xsyqlmf34dXTYHIUYdm7Ki2JgVxaq08EnvV7c2PYJn9xbS3GEdMDi4FovFQmVlJWVlZX3C454wuf+b1aCgIGJiYpg5cyarV6/uExxHRkYSGhrqkeHxUGpbLbzwaREvHy6htdPGipQwnvnHuVyXFj5hlT3z44PRqFUcK24gKdyPqpbOa/ZfHoxareLxNSmsSAnn69tO8oU/HUGjUrEqNZwf3ZIxziP3Thuzonj5cAkH8utYn2kacJ+zZc089MJR1CoVr07gJdJCTLbb58ew5WAx75+tHHACvy0Hi4gJ9uXGjOH3M1uUGMonubk0mLuu2bN5IK8cLiElwo9lycP/uxdo0PHnhxdz228P8vALx9j+lZVEBPiM+Gu7S0m9mV/uusQ7pysI8tXxw5tn8eDyxBG9b9CoVTy4PIGn3rvAufJmsmM8sz3WRLDaHeRVt7nC5DPlzVyobLkSJvtoyY4J4uEVicyOuRImj2RiyJQIf156dAn3/PGwK2SODBi/vrZWuwM/n9G/RwruLlxobLdittg4UlTPvkvOthc9LdmiAg1syDRx3cwIVqaEEebvPb8jYnDh4eE0NDQMuj00NNSrT4QKIYQQwzWSDG8q867UbZooLi4GIDExccDtpQ3tzkn6cqo5XtKAQ3H2rLt/aQIbskwsSghx6wRf16dH8ttPCjiQVzdon1ibzUZlZSUlJSUUFxdTUlJCSUkJpaWl1NbW9tnXx8eH6OhooqOjmTdvHtHR0cTExBATE0N0dLRzNvsporjOzB/3F/LGiTKsdgc3ZUfx+OoU5sYFT/jX9uv+IHy0qIGEMD9geP2XhzI7Noh3n1zFU+9dILeqld/et8CrJp+bSEuTQwkwaNmVUzVgwHy4sJ4vvnicIF8dr3xxKUnhfm4YpRATY05sEMkRfmz/rPyqgPlCZQuHCxv4wU2zRvT3oueE2ImSxkFP2gzmXHkzp0qb+NdbM0d8Ei82xMjzDy3i7j8e4ksvHWfbY8s8fiKy2lYL//dxHn85chmtRsVX1qbw+JqUUZ0UBrhrURy/3HWJFw8W88xdc8d5tJ7BZneQX9vGmbJmzpU3c6bMGSZbusNkfx8t2TGBPLQ8geyYIObEBpMwwjB5MFnRQWx5ZAkPPH+EB58/yrbHlo1bb+Lx6MEM8J03TlPa0I7VrmDQqVmaFMZ9S+JZMzOC1Eh/aXsxBRUXF1NWVsasWbMG3F5aWorZbJYezEIIIaa8a2V404UEzB5oz549wJX+LYqicKGy1Rkqn6/mQmULALOiAvjaDWlszDKROSPQY968z4sLJtCgZU9uDSvjfV3hce+ltLQUm83mek5QUBAJCQksW7asT3gcExNDWNjI2zR4m7NlzTy7t4APzlWiVau5c2Esj61OnvRQcUliCC8eLCEqyJcQo47Ucej3aNRr+a/bZ4/D6KYWnUbNulmR/P1CNTa7o0+Q9tGFar6y9TPiQo288uhSooJkFnYxtahUKu6YH8Mvdl2itKGduF693rd8WoxBp+buxSObJGN2TBB6jZpjxQ0jDpi3HrmMQafmzmFOutnf3Lhg/vfu+Tyx9QTfeu0Uv7l3wbgEi+OttdPKc/sK+dOBIiw2B/csjuPr69KIDBzb35ggXx13LIjh9RNl/ODmjFFVkHsSm91BQa2ZM2VNzjC5uzK50+oMk/30GrJjgnhgWYKrzUVimN+E/p8vTAjhjw8s4p+2HOOhF46x9YtL8R9D5XGPsfZgTgg1EmLUYdBq+KdVSaxOi2BhQojHn2QRY7dnzx6qqqoGDZgPHjyIxWLhhhtumOSRCSGEEJOrf4Y3XUnA7IE2b96M3aFwpLCeXeer2XW+itKGDlQqWJwQyo9uyWB9pslVZepuiqJQW1tLfn4++fn5FBUVEfrZeT7ZVcknP2t37afVaomLiyMhIYHVq1eTkJDgWoKDJ75C19MoisKB/Dqe3VvAp/n1BPhoeXxNCo+sTBzXy19HYklSGM/tL+KDs5XcMCvSIwOSqWRDVhRvn6rgeEkjy5KdPV/fPlnOt18/TVZ0IFseWeL1QY0Qg9k8zxkwv32ynP9vnXOSqAZzF2+fKufOhbEjrtA06DTMiQ3iWPHgl2wPpLXTyo5T5XxuTvSY5inYlB3Fv9ycwVPvXeDnobl8/6aBQxd3sNjsvHyohN9+kk9ju5Vb5szgnzekj+tJzIdWJLL1yGW2HbvMV9aO/xwME8XuUCjoU5ncxPl+YXJWdBBfWJrgbHMRG0TSBIfJg1mVFs5v7pvPE1s/40svHueFRxaPOcjtso+xB7Ofns9+vH7KFwKIq23evHnIHswbN27EbDZP4oiEEEII99i8ebO7h+ARJGD2QGdrbXzj1VM0mLvQa9WsSg3na9ensi7DRLib+9aZzWYKCgrIy8sjPz+fgoIC8vPzaWlpce0TFhZGSGgUtaoM/mnjYpbOmUVCQgIzZszwul7IE8Fmd/DBPdttOwAAGHtJREFUuSqe3VtATkULkQE+/OCmWdy3NJ4Aw8ROwngtixJCnGN0KKPuvyyGb83MCPRaNbtyqlmWHMZLh4r51x05LEsO5bkHF7n950GIiRQXamRJUijbT5XztRtSUalUbDt2GYvNwcMrEkd1zMVJoTy3r/Cak2f29vbJctq77Ny/LGFUX7O3R1clUVxv5tm9BSSEGQfsLz2Z7A6F7SfL+Z/dlyhv6mBVajjf3ZTOnNjxP6k70xTAipQwXjlUwmPXJXtkOyS7Q6GwO0w+2903+XxFCx1WOwBGvYas6EDuW5LA7NhAZscEkxTuh8aDTrZuyIril3fN5ZuvneKrWz/j2QcWjikg7rI50I/x/0rC5ekpJCSEoKDBe64HBwfL+34hhBDTQkhIiLuH4BHkVd8DqdtqmBPYyV2bF7EmPWJcLoEcKZvNxuXLl11Bck+YXFFR4drHz8+PlJQU1q1bR2pqqmsJCgqiprWTJf/5EYaMdFat8p5KponUabXz+okynttXyOWGdpIj/PjZnbO5bX4MPlrPuJQ0xE9PuimA3OpWliaFuXs4U56fj5brUsPZdb6KEKOOX+6+xI0ZJn5z33y5vFhMC7fPj+EHb53lTFkzmdGBvHyohJWpYcw0BYzqeIsTQ/j9HoVTpU0sT7n23zBFUdh65DLZMYHMiR375HQqlYp//1wWpQ0d/Ojtc8SG+HJdWsSYjztSiqLw0YUantmZS251K7NjgvjZnXNYlTaxE5A8tCKRx18+we7z1dw0e+A5GCaL3aFQVHclTD5X3kxORQvtXc4w2VfnDJPvWRLnmoAvOcLfo8Lkwdw2P4Y2i40fvX2Ob712mv+9e96ox20dYwWzmL4KCwspLS0lI2PgyZtLSkpob2+XHsxCCCGmvMLCQgCSk5PdPBL3koDZA+WfOcbaIAadIG+8WSwW8vLyuHDhAufPnyc3N5eioiKsVisAGo2GhIQEsrKyuO2221xB8owZMwatWokMMJAVHcie3Bq+ev30Dpib2628fLiYLQeLqWvrYl5cMD+8OYMNmSaPbEGxKi2cujYLGTNGF/CIkdmQZeKjizX8cvclbp8fw8//cY582BfTxs2zZ/Bv7+Sw/WQ5ZY0dVDZ38pPN2aM+3sL4UFQqOF7cMKyA+URJIxerWnn6jtnjVoWp1aj5zX3zuevZQ3zllc948ysrRh2Yj8bx4gae/uAix0saSQwz8pv75nNz9oxJeb25McNETLAvWw4WT2rA7HAoFNaZOVvexNmyFs6VN3OuotkVJht0arKig/j8ojhXm4sULwmTB3P/sgTaLDae/uAifnoN/2+UP8NWu4JO673/DsJ99u3bR1VV1aAB8+HDh7FYLKxbt26SRyaEEEJMrn379gESMEvA7IFuv/32CTt2V1cXBQUFnD9/3hUoFxQUYLc7P4SFhISQkZHBsmXLXEFyYmIiev3I+8Benx7J7/cW0NxhHfXM9N6ssrmD5/cX8dejlzF32VmbHsGX16SwNCnUoy8n/c7GdB5f7ZmXN09FN2aYCPfP5XNzo/nxLZkeedJBiIkS5KvjxoxI3jldwemyJuJDjdwwK3L0xzPqSDcFcHSYfZi3HrlMgI+Wf5gXPeqvOZAAg44/P7yY2377KY+8cIztX10x4b31c6taeWbnRf5+oYaIAB+eui2buxfHTeoJK41axYPLE/h/H1zkQmULGTMCx/1rOBwKRfVmzvZqc5FT3oy5O0z20arJig7kroWxzI4NZnZMECkRflPyNe3La1Jo67Txm0/yCTBo+eHNGSN+f2G1SQWzGJ3bb799yB7MN910k/RgFkIIMS1MZIbnTSRg9kBD9TMbCZvNRn5+PhcvXnQFynl5edhsNtfXycjIYOXKlWRmZpKRkYHJZBq38HNtegS/+SSfvZdquTk7CrVKNS3Cs/yaVp7dW8iOU+U4FPjcnBk8viZlQj5oTwSDTiPtGSZRmL8PR39447T43RBiILfPj+X9s1U0mLv40S0ZY64qXZQYwvbPyrHZHUOGig3mLt47W8m9i+Mw6sf/7VB0sC/PP7SYz//hEF968TjbHls+7L7QI1HW2M5/777E9pPl+Ou1fGdjOo+sTJyQ72k47l4cx//8/RIvHizm6TvnjOlYDodCcb3ZGSR3B8o5FS20WZzvY3y0ajKjA7lzYayrMjk1wn9KhsmD+faGmbRZbDy3v4gAg44nuyfMvBaHQ+HZfQW0WmyEjHBCTSHA+TkiIGDwqzMCAwNRq6fP76IQQojpa7wyPG8nAbMH6qkGSE0dfmsJRVGoqqri9OnTnD59mvPnz5OXl0dXVxcA/v7+ZGZm8oUvfIGMjAwyMzOHbHExHubFBRPkq+PJv57kyV7r1SpnlZNKpUKjUnXfd65Tq3qWXo/VoO7e96r91KDpDq577xMXauSnm7Mn5MP8YE6UNPD7PYX8/UI1Bp2aLyxN4NFVScSFGidtDMI7SbgsprM1MyMIMeqw2BzctShuzMdbnBjKK4cvc7GqleyYwd/s/WJXLla7gy+Mw+R+g5kdG8Sv753PYy8f5xuvnuT3X1g4br/vDeYufvNxPq8cLgEVfOm6ZJ5Yk0KIn3vDwmCjntvmxfD2qXK+f9MsgocZXjocCiUN7Zwpa+KcqzK5hdbuMFmvVZM5I5Db58cwO9bZMzktcnqFyQNRqVT8662ZtHba+O/dl/D30fJPq5KGfE59m4VvvXbaWQAwO4pHViZOzmDFlJKfn09JSQlZWVkDbi8qKpIezEIIIaaF0WR4U5EEzB7owIEDwNA/nDabjUuXLnHmzBlXqFxTUwOAr68vmZmZ3H333a4wOSYmZtLbMmg1an73hQWcKm3C7lBwKAoOh4JDAbvS77FDQVGU7vV0r1ewO3Dupyjd+3DlWMqV57oeO5yP3zhRhp9ew3+MoZfncDgcCp/k1vDs3gKOFTcSbNTx9XVpPLQikVA3f8gXQghvoNeq+Y/N2djsjnFpp7Q4MRSAY8UNgwbM+/Nq+cuRyzy2OnnC+yOvzzTx41sy+cm753n6w4v88OaB+5UOl9li4/kDRfxxXyHtXTb+cWEs37hxJtHBvuM04rF7aEUi246V8uqxUh5fk3LVdkVRKKlvd7W4OFvmnISvd5icMSOQzfOjuyfgCybN5C+tHAahVqv42Z2zae+y8ZN3z+Pvo+Xziwc+WXO4sJ6vbztJY7uVn96Wzf1L4z26bZfwXAcOHKCqqmrQgPno0aNYLBbWr18/ySMTQgghJtdwMrzpQKUoirvHMKhFixYpx48fd/cwJl1bWxvgrDru0draypkzZ1yB8rlz5+js7AQgKiqKOXPmMHfuXObOnUtqaipa7fQ+d/Aff8vhhU+LefnRJVyXFjHux7faHbxzqoI/7CvgUnUbMcG+fPG6JO6eoEuthRBCDN/Kpz9mXlwwv/3Cgqu2tXZa2fg/+/DVa3jvyesmpSWQoij8+zs5vHiohKduy+b+UVRNd9kcbDt2mV9/lE9dm4UNmSa+szGdtEmcQHAk7v7DIcoaO9j7nbWUN3X0aXNxtryZ1s7uMFmjZtaMgO4g2dnmYqYpQMLkUbDY7HzxxeN8ml/H/927oM9k0XaHwm8/yed//36JhDA/fnPffLKi5XJOMXptbW3k5eVhMpkG3G42m2lra2P+/PmTPDIhhBBicg2U4U0lKpXqhKIoi661nyRhHsjPz4/y8nL27t3rqk4uLCxEURQ0Gg0zZ85k8+bNrkB5sDd209n3Ns1if14d33n9DDu/sZog4/hMMmi22Nh2rJTn9xdS0dxJuimA/7l7LrfOiZYPw0II4SEWJYZwqKAeRVGuqs78z/cuUNXSyZtPrJi0fvMqlYof35pJaWMH//ZODp1WO7fOiSYq6NoT/zkcCn87U8Evd13ickM7S5JC+cMDC1mYEDIJIx+9h1ck8sTWz5jzH7to756AT6dRMSsqkM/NjXYFyjNNAei18vo5Hny0Gv7wwEIe+vNRvvHqSYx6DdfPiqSmtZNvvnqKT/Pr2Twvmv+8fTb+PvIRQIyNv78/fn5+g2738/PDkwuZhBBCiPEyVYPlkZr0CmaVSrUJ+BWgAf6kKMrTg+07XSuYn3rqKbZt24bBYMDPz69PdXJWVhZGo/T0HY6zZc3c/rtPuXn2DH5979iqJ+rbLLx4sJgXD5XQ3GFlSVIoT6xJYW16hFxaKoQQHuaVwyX86O1z7P3OWhLCrgQge3JrePiFY3x5TQrfv2nWpI/LbLHx0J+PcrykEYA5sUGszzCxPstEuimgz+uJoijsvVTLzz/M5XxlC7OiAvjeplle87pjszv4wVtn0WrUzI4JYk6shMmTpaXTyn3PHSavuo1/3pDOH/YV0tpp5Sebs/j8ojiv+PkRni83N5f/v737j62rPA84/n187TgBlpBSEjqC2wxSSBik/GhSCm02KDRMmhhSN0a38aOrULexrqz7o93+6KQKbRqjrap2m5jWCqZKE9vYhgQbRKjSmBSiBM9xHDvYGT+WUCAgYGBMQmw/++MewBSuia+P772+9/uRovie9/rN80pPju95/J7nPPHEE5x77ns/zHP//v1MTEywdevWBkcmSVJjPfbYYwCceeaZTY5kYbTkDuaIqADfBy4HDgI7I+LezBxuZBytrlKpsGXLFm655RbWrl1LpdK4B9W1k3PWrODLl63jW9tGuXzDan5548/OeY4DL07wtw8/zt27DnD46DRXbFjNl37hdM7va+2dY5LUyd7uw/zSWwXmF8aP8PV79rBu1Ql85TPrmhLX8b3d/OOXLmL/oXEeHH6ObcPPcfu2UW7fNsppH1jGZ9av5vINq+ntrnDbA/t45PEXWbNyGd++ZiNXbTx1UT0QtLvSxW2/urHZYXSk5Ut7uPPGTVxzxyPcev8IZ6w6gR99cTNnntKa7VS0OG3fvp1nn322ZoH50Ucf5ciRIxaYJUltb/v27UD7FpiPVUN3MEfERcCfZuZni9dfB8jMP3uv93fqDuaJiQkAdyqXYHJqms/9zXYef36cXzxrFT2VLnoqQXdXF92VYEml+nd3VxdLurvo7gq6K10sqQQ7n3yJ+/Y8Q1fA1eedyk2fPp0zVnnrgyS1uunp5LxvbuPUE5dxyoqlPPbsqzz98utUuoJ7fueTbDztxGaH+JZDrxzmoX2H2Db8HP+1/wXemJwG4KTjl/D7l57BtZv76O32F82au0OvHOa+Pc/4fAgtiImJCcbGxjj55Pd+1snrr7/O+Pg4Gzf6iyZJUntr9xpeS+5gBk4FDsx4fRDY3OAYWl67JmUzdFe6+PY1H+Ordw8wcOBlJqeSN6ammZyafvvr6WRq+t2/aDl+SYXfvmQtX7h47TH1yZQktYauruCys1Zx7+6fMDWdXPDhlXx+cx+XnPHBliouA6xavpRrN/Vx7aY+XjsyycNjz/P8q0e4+vw19snVvKxavpQbL17b7DDUpo477jiWLVtWc3zZsmVMTU01MCJJkprDGl5Vo3cwfw7YmplfLF7/FrA5M2+e8Z6bgJsA+vr6LnjqqacaFl+rGBkZAWD9+vVNjqRzTE8nR6erRec3C88n9HazbIm7xiRpMcpMJqfTB7BK0gIYGRnhySefrLlDeWxsjImJCa688soGRyZJUmO1ew3vWHcwN/qq62ngtBmv1xTH3pKZd2TmhZl5Ya1brtrdjh072LFjR7PD6ChdXUFvd4Xje7tZcVwPJ/9Mr8VlSVrEIsLisiQtkB07drB79+6a4/39/bOOS5LULqzhVTV6B3M3MApcRrWwvBP4fGbufa/3d2oP5sOHDwOwdKltGSRJkiS1lsOHDzM2NsZJJ51Uc/y1117jnHPOaXBkkiQ1VrvX8FqyB3NmTkbEzcADQAX4Qa3icidr16SUJEmStPgtXbqU3t7eWccnJycbGJEkSc1hDa+q4feOZub9mfnRzDw9M29t9L+/GAwNDTE0NNTsMCRJkiTpXYaGhhgdHa05vm/fvlnHJUlqF9bwqmxO2IJ27dpFJ7YGkSRJktT6du3aNevF9O7du73YliR1BGt4VQ3twTxXndqD+ejRowD09PQ0ORJJkiRJeqejR48yOjrKypUra46Pj49z9tlnNzgySZIaq91reC3Zg1nHpl2TUpIkSdLi19PTM+s1y/uNS5LULvx5V2WLjBY0ODjI4OBgs8OQJEmSpHcZHBxk3759NceHh4dnHZckqV1Yw6uywNyC+vv76e/vb3YYkiRJkvQu/f39DA8P1xzfs2fPrOOSJLULa3hV9mBuQVNTUwBUKpUmRyJJkiRJ7zQ1NcXo6CgrVqyoOT4+Ps769esbHJkkSY3V7jU8ezAvYu2alJIkSZIWv0qlMus1y/uNS5LULvx5V2WLjBY0MDDAwMBAs8OQJEmSpHcZGBhgZGSk5vjQ0NCs45IktQtreFUWmFuQySlJkiSpVb1fgXnv3r0WmCVJHcEaXlVL92COiOeBp5odRwk+CLzQ7CCkJjH/1cnMf3Uy81+dzPxXJzP/1cnMf7WbD2fmye/3ppYuMLeLiNh1LA2xpXZk/quTmf/qZOa/Opn5r05m/quTmf/qVLbIkCRJkiRJkiTVxQKzJEmSJEmSJKkuFpgb445mByA1kfmvTmb+q5OZ/+pk5r86mfmvTmb+qyPZg1mSJEmSJEmSVBd3MEuSJEmSJEmS6mKBuQ4RcVpE/DgihiNib0T8QXH8AxGxLSLGir9XFscjIr4bEfsjYjAizp8x1/XF+8ci4vpmrUk6VmXlf0R8LCK2F3MMRsQ1zVyXdCzKPP8X48sj4mBEfK8Z65HmouTPP30R8WBEjBTzfaQ5q5KOTcn5/xfFHCPFe6JZ65KORR35f1bxOf9IRPzRT821NSIeK/5vfK0Z65Hmoqz8rzWP1C4sMNdnEvhqZm4APgH8XkRsAL4GPJSZ64CHitcAVwLrij83AX8N1RMS8A1gM7AJ+MabJyWphZWS/8AEcF1mng1sBb4TESc2bhlSXcrK/zd9E/jPRgQulaDM/L8LuC0z11P9DHSoMUuQ6lbW5/9PAhcD5wI/D3wc2NLAdUj1mGv+vwh8GfjLmZNERAX4PtX/HxuAa4t5pFZWSv7PMo/UFiww1yEzn8nM/uLrV4ER4FTgKuDO4m13Ar9SfH0VcFdWPQKcGBEfAj4LbMvMFzPzJWAb1UKb1LLKyv/MHM3MsWKen1AtLpzcwKVIc1bi+Z+IuABYDTzYwCVIdSsr/4uLqe7M3FbMNZ6ZE41cizRXJZ7/E1gKLAF6gR7guYYtRKrDXPM/Mw9l5k7g6E9NtQnYn5mPZ+YbwD8Uc0gtq6z8n2UeqS1YYJ6n4pbO84AdwOrMfKYYepZq4QCqJ40DM77tYHGs1nFpUZhn/s+cZxPVC63/WcBwpVLNJ/8jogu4HXjHbaPSYjHP8/9HgZcj4p6I+O+IuK3Y1SYtCvPJ/8zcDvwYeKb480BmjjQgbKkUx5j/tXj9q0Vtnvlfax6pLVhgnoeIOAH4Z+ArmfnKzLHMTKo7FKS2VFb+F7t5/h64MTOnSw9UWgAl5P/vAvdn5sEFClFaMCXkfzfwKaq/YPk48HPADeVHKpVvvvkfEWcA64E1VAtrl0bEpxYoXKlUXv+qk5V4/VtzHmkxs8Bcp4jooXpS+FFm3lMcfm7Grc8f4u1+gk8Dp8349jXFsVrHpZZWUv4TEcuB+4A/KW4flVpeSfl/EXBzRDxJtT/bdRHx5w0IX5qXkvL/IDBQ3CI9Cfwr8I4HYEqtqKT8vxp4pGgNMw78O9WfCVJLm2P+1+L1rxalkvK/1jxSW7DAXIfiSc9/B4xk5rdmDN0LXF98fT3wbzOOX1c8TfoTwP8Vt1I8AFwRESuLh/tdURyTWlZZ+R8RS4B/odqf8J8aFL40L2Xlf2b+Rmb2ZeZHqO7ivCszfZK6WlqJn392Uu1H+2bf/UuB4QVfgDQPJeb//wJbIqK7KDRsodqHU2pZdeR/LTuBdRGxtrgW+PViDqlllZX/s8wjtYWo7uTXXETEJcDDwB7gzVv6/5hq/5y7gT7gKeDXMvPF4kTyPaoP8Jug2gpgVzHXF4rvBbg1M3/YsIVIdSgr/yPiN4EfAntnTH9DZg40ZiXS3JV5/p8x5w3AhZl5c0MWIdWp5M8/l1PtQx7Ao8BNxQOfpJZU4uefCvBXwKep3k79H5n5hw1djDRHdeT/KcAuYHnx/nFgQ2a+EhG/BHwHqAA/yMxbG7oYaY7Kyn/g3PeaJzPvb9BSpAVlgVmSJEmSJEmSVBdbZEiSJEmSJEmS6mKBWZIkSZIkSZJUFwvMkiRJkiRJkqS6WGCWJEmSJEmSJNXFArMkSZIkSZIkqS4WmCVJkiRJkiRJdbHALEmSJEmSJEmqiwVmSZIkSZIkSVJd/h+4CsGHdJSB8gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for band in ['red', 'green', 'blue', 'nir', 'swir1', 'swir2']:\n",
    "    _plot_res(results= clear_pixel.attrs['ccd_results'],\n",
    "              original_pixel=clear_pixel,\n",
    "              band=band,\n",
    "              file_name=None)"
   ]
  }
 ],
 "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}