Lab 6 Time-Series_2021.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/github/davemlz/eemont/blob/master/tutorials/014-Time-Series-By-Regions-Pandas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jZEthLln92Ep"
   },
   "source": [
    "# Time Series By Regions (with Conversion to Pandas and Visualization with Seaborn) using EEMONT, GEETOOLS and GEEMAP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dNa470OZ8Oec"
   },
   "source": [
    "- GitHub Repo: [https://github.com/davemlz/eemont](https://github.com/davemlz/eemont)\n",
    "- PyPI link: [https://pypi.org/project/eemont/](https://pypi.org/project/eemont/)\n",
    "- Documentation: [https://eemont.readthedocs.io/en/0.1.8/index.html](https://eemont.readthedocs.io/en/0.1.8/index.html)\n",
    "- More tutorials: [https://github.com/davemlz/eemont/tree/master/tutorials](https://github.com/davemlz/eemont/tree/master/tutorials)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CD7h0hbi92Er",
    "tags": []
   },
   "source": [
    "## Let's start!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "E0rc6Cya92Es"
   },
   "source": [
    "NOTE: before running this notebook, pass the following commands to a Python terminal. (File, New, Terminal)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "yes: standard output: Broken pipe\n"
     ]
    }
   ],
   "source": [
    "!yes | mamba install eemont -q"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "x3Rm3qt_92Et"
   },
   "source": [
    "Return to this notebook and Import the required packges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "H0C9S_Hh92Et"
   },
   "outputs": [],
   "source": [
    "import ee, geemap\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "import eemont\n",
    "\n",
    "# import geetools for cloud /shadow discrimination\n",
    "# from geetools import ui, cloud_mask\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "k1sdX2p592Eu"
   },
   "source": [
    "Authenticate and Initialize Earth Engine and geemap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "7QDXqVwy8Oef"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5630814b99aa409bbccfe1e8565d42f6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[20, 0], controls=(WidgetControl(options=['position', 'transparent_bg'], widget=HBox(children=(Togg…"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Map = geemap.Map()\n",
    "Map.add_basemap('Esri.WorldImagery')\n",
    "Map\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use some center-pivot crops in Utah:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5630814b99aa409bbccfe1e8565d42f6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[37.68295151294841, -113.66364198203783], controls=(WidgetControl(options=['position', 'transparent…"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot0=ee.Geometry.Point([-113.663642,37.682951]).buffer(500) #the number in buffer is the radius for the center pivot\n",
    "pivot1=ee.Geometry.Point([-113.698426,37.623206]).buffer(400)\n",
    "pivot2=ee.Geometry.Point([-113.642373,37.732786]).buffer(400)\n",
    "\n",
    "Map.addLayer(pivot0,{},'pivot0')\n",
    "Map.addLayer(pivot1,{},'pivot1')\n",
    "Map.addLayer(pivot2,{},'pivot2')\n",
    "\n",
    "Map.centerObject(pivot0,12)\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's combine the different center pivot features into a Feature Collection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "pivots = ee.FeatureCollection([\n",
    "    ee.Feature(pivot0,{'pivot':0}),\n",
    "    ee.Feature(pivot1,{'pivot':1}),\n",
    "    ee.Feature(pivot2,{'pivot':2})    \n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's pre-process and process our image collection; LANDSAT 8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First let's create a Landsat 8 snow pixel filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def maskSnow(image):\n",
    "# // to Landsat 8 imagery.\n",
    "    N = image.select('B5')\n",
    "    G = image.select('B3')\n",
    "    NDSI =image.normalizedDifference(['B3', 'B6'])\n",
    "    # https://eemont.readthedocs.io/en/latest/tutorials/006-NDSI-and-Snow-Cover-Sentinel-2-MOD10A2.html?highlight=snow%20mask#Overloaded-Operators\n",
    "    snowPixels = (NDSI > 0.4) & (N >= 0.1) & (G > 0.11)\n",
    "    return image.updateMask(~snowPixels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "process landsat and apply maskSnow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "L8 = (ee.ImageCollection('LANDSAT/LC08/C01/T1_SR')\n",
    "      .filterBounds(pivots)\n",
    "      .maskClouds()\n",
    "      .scaleAndOffset()\n",
    "      .spectralIndices(['NDVI','NDWI','GVMI'])).map(maskSnow)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The list of available indices in eemont can be retrieved by running (check this list to get details on the implemented indexes https://eemont.readthedocs.io/en/latest/guide/spectralIndices.html):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['AFRI1600',\n",
       " 'AFRI2100',\n",
       " 'ANDWI',\n",
       " 'ARI',\n",
       " 'ARI2',\n",
       " 'ARVI',\n",
       " 'ATSAVI',\n",
       " 'AVI',\n",
       " 'AWEInsh',\n",
       " 'AWEIsh',\n",
       " 'BAI',\n",
       " 'BAIM',\n",
       " 'BAIS2',\n",
       " 'BCC',\n",
       " 'BI',\n",
       " 'BITM',\n",
       " 'BIXS',\n",
       " 'BLFEI',\n",
       " 'BNDVI',\n",
       " 'BRBA',\n",
       " 'BWDRVI',\n",
       " 'BaI',\n",
       " 'CIG',\n",
       " 'CIRE',\n",
       " 'CSI',\n",
       " 'CSIT',\n",
       " 'CVI',\n",
       " 'DBI',\n",
       " 'DBSI',\n",
       " 'DPDD',\n",
       " 'DSI',\n",
       " 'DSWI1',\n",
       " 'DSWI2',\n",
       " 'DSWI3',\n",
       " 'DSWI4',\n",
       " 'DSWI5',\n",
       " 'DVI',\n",
       " 'DVIplus',\n",
       " 'DpRVIHH',\n",
       " 'DpRVIVV',\n",
       " 'EBBI',\n",
       " 'EMBI',\n",
       " 'EVI',\n",
       " 'EVI2',\n",
       " 'ExG',\n",
       " 'ExGR',\n",
       " 'ExR',\n",
       " 'FCVI',\n",
       " 'GARI',\n",
       " 'GBNDVI',\n",
       " 'GCC',\n",
       " 'GDVI',\n",
       " 'GEMI',\n",
       " 'GLI',\n",
       " 'GM1',\n",
       " 'GM2',\n",
       " 'GNDVI',\n",
       " 'GOSAVI',\n",
       " 'GRNDVI',\n",
       " 'GRVI',\n",
       " 'GSAVI',\n",
       " 'GVMI',\n",
       " 'IAVI',\n",
       " 'IBI',\n",
       " 'IKAW',\n",
       " 'IPVI',\n",
       " 'IRECI',\n",
       " 'LSWI',\n",
       " 'MBI',\n",
       " 'MBWI',\n",
       " 'MCARI',\n",
       " 'MCARI1',\n",
       " 'MCARI2',\n",
       " 'MCARI705',\n",
       " 'MCARIOSAVI',\n",
       " 'MCARIOSAVI705',\n",
       " 'MGRVI',\n",
       " 'MIRBI',\n",
       " 'MLSWI26',\n",
       " 'MLSWI27',\n",
       " 'MNDVI',\n",
       " 'MNDWI',\n",
       " 'MNLI',\n",
       " 'MRBVI',\n",
       " 'MSAVI',\n",
       " 'MSI',\n",
       " 'MSR',\n",
       " 'MSR705',\n",
       " 'MTCI',\n",
       " 'MTVI1',\n",
       " 'MTVI2',\n",
       " 'MuWIR',\n",
       " 'NBAI',\n",
       " 'NBLI',\n",
       " 'NBR',\n",
       " 'NBR2',\n",
       " 'NBRSWIR',\n",
       " 'NBRT1',\n",
       " 'NBRT2',\n",
       " 'NBRT3',\n",
       " 'NBRplus',\n",
       " 'NBSIMS',\n",
       " 'NBUI',\n",
       " 'ND705',\n",
       " 'NDBI',\n",
       " 'NDBaI',\n",
       " 'NDCI',\n",
       " 'NDDI',\n",
       " 'NDGI',\n",
       " 'NDGlaI',\n",
       " 'NDII',\n",
       " 'NDISIb',\n",
       " 'NDISIg',\n",
       " 'NDISImndwi',\n",
       " 'NDISIndwi',\n",
       " 'NDISIr',\n",
       " 'NDMI',\n",
       " 'NDPI',\n",
       " 'NDPolI',\n",
       " 'NDPonI',\n",
       " 'NDREI',\n",
       " 'NDSI',\n",
       " 'NDSII',\n",
       " 'NDSIWV',\n",
       " 'NDSInw',\n",
       " 'NDSWIR',\n",
       " 'NDSaII',\n",
       " 'NDSoI',\n",
       " 'NDTI',\n",
       " 'NDVI',\n",
       " 'NDVI705',\n",
       " 'NDVIMNDWI',\n",
       " 'NDVIT',\n",
       " 'NDWI',\n",
       " 'NDWIns',\n",
       " 'NDYI',\n",
       " 'NGRDI',\n",
       " 'NHFD',\n",
       " 'NIRv',\n",
       " 'NIRvH2',\n",
       " 'NIRvP',\n",
       " 'NLI',\n",
       " 'NMDI',\n",
       " 'NRFIg',\n",
       " 'NRFIr',\n",
       " 'NSDS',\n",
       " 'NSDSI1',\n",
       " 'NSDSI2',\n",
       " 'NSDSI3',\n",
       " 'NSTv1',\n",
       " 'NSTv2',\n",
       " 'NWI',\n",
       " 'NormG',\n",
       " 'NormNIR',\n",
       " 'NormR',\n",
       " 'OCVI',\n",
       " 'OSAVI',\n",
       " 'PISI',\n",
       " 'PSRI',\n",
       " 'QpRVI',\n",
       " 'RCC',\n",
       " 'RDVI',\n",
       " 'REDSI',\n",
       " 'RENDVI',\n",
       " 'RFDI',\n",
       " 'RGBVI',\n",
       " 'RGRI',\n",
       " 'RI',\n",
       " 'RI4XS',\n",
       " 'RVI',\n",
       " 'S2REP',\n",
       " 'S2WI',\n",
       " 'S3',\n",
       " 'SARVI',\n",
       " 'SAVI',\n",
       " 'SAVI2',\n",
       " 'SAVIT',\n",
       " 'SEVI',\n",
       " 'SI',\n",
       " 'SIPI',\n",
       " 'SR',\n",
       " 'SR2',\n",
       " 'SR3',\n",
       " 'SR555',\n",
       " 'SR705',\n",
       " 'SWI',\n",
       " 'SWM',\n",
       " 'SeLI',\n",
       " 'TCARI',\n",
       " 'TCARIOSAVI',\n",
       " 'TCARIOSAVI705',\n",
       " 'TCI',\n",
       " 'TDVI',\n",
       " 'TGI',\n",
       " 'TRRVI',\n",
       " 'TSAVI',\n",
       " 'TTVI',\n",
       " 'TVI',\n",
       " 'TriVI',\n",
       " 'UI',\n",
       " 'VARI',\n",
       " 'VARI700',\n",
       " 'VDDPI',\n",
       " 'VHVVD',\n",
       " 'VHVVP',\n",
       " 'VHVVR',\n",
       " 'VI6T',\n",
       " 'VI700',\n",
       " 'VIBI',\n",
       " 'VIG',\n",
       " 'VVVHD',\n",
       " 'VVVHR',\n",
       " 'VVVHS',\n",
       " 'VgNIRBI',\n",
       " 'VrNIRBI',\n",
       " 'WDRVI',\n",
       " 'WDVI',\n",
       " 'WI1',\n",
       " 'WI2',\n",
       " 'WI2015',\n",
       " 'WRI',\n",
       " 'kEVI',\n",
       " 'kIPVI',\n",
       " 'kNDVI',\n",
       " 'kRVI',\n",
       " 'kVARI',\n",
       " 'mND705',\n",
       " 'mSR705']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eemont.listIndices()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check which bands are available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['B1',\n",
       " 'B2',\n",
       " 'B3',\n",
       " 'B4',\n",
       " 'B5',\n",
       " 'B6',\n",
       " 'B7',\n",
       " 'B10',\n",
       " 'B11',\n",
       " 'sr_aerosol',\n",
       " 'pixel_qa',\n",
       " 'radsat_qa',\n",
       " 'NDVI',\n",
       " 'NDWI',\n",
       " 'GVMI']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L8.first().bandNames().getInfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Lapse of the Satellite data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using Geemap example 72"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5630814b99aa409bbccfe1e8565d42f6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[37.68295151294841, -113.66364198203783], controls=(WidgetControl(options=['position', 'transparent…"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collection = L8.select(\"NDVI\").filter(ee.Filter.date('2021-01-01', '2021-12-31')).sort('system:time_start')\n",
    "\n",
    "vis_params = {\n",
    "  'min': 0.0,\n",
    "  'max': 1.0,\n",
    "  'palette': [\n",
    "    'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901',\n",
    "    '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01',\n",
    "    '012E01', '011D01', '011301'\n",
    "  ],\n",
    "}\n",
    "\n",
    "first_image = collection.first()\n",
    "\n",
    "Map.addLayer(first_image, vis_params, \"First image\")\n",
    "# Map.setCenter(-7.03125, 31.0529339857, 2)\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# image = collection.toBands()\n",
    "# Map.addLayer(image, {}, \"Time series\", False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5630814b99aa409bbccfe1e8565d42f6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(bottom=1623197.0, center=[37.658751368732155, -113.6433506011963], controls=(WidgetControl(options=['posit…"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = collection.aggregate_array(\"system:index\").getInfo()\n",
    "Map.add_time_slider(collection, vis_params, labels=labels, time_interval=1)\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Series By Regions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's get the L8 time series for our buffer. Checklist:\n",
    "\n",
    "- Image Collection: The Landsat 8 collection.\n",
    "- Bands to use for the time series: GNDVI and EVI.\n",
    "- Feature Collection: Our center-pivot crops.\n",
    "- Statistics to compute: Mean and Median.\n",
    "- Scale: 30 m."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "ts = L8.getTimeSeriesByRegions(collection = pivots,\n",
    "                               bands = ['NDVI','NDWI','GVMI'],\n",
    "                               reducer = [ee.Reducer.mean()], #ee.Reducer.median()\n",
    "                               scale = 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conversion to Pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The time series is retrieved as a feature collection. To convert it to a pandas dataframe we'll use `geemap` (This may take a little bit):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsPandas = geemap.ee_to_pandas(ts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check our pandas data frame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>B4</th>\n",
       "      <th>B5</th>\n",
       "      <th>pivot</th>\n",
       "      <th>reducer</th>\n",
       "      <th>NDVI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-03-29T18:11:42</td>\n",
       "      <td>0.239893</td>\n",
       "      <td>0.316394</td>\n",
       "      <td>0</td>\n",
       "      <td>mean</td>\n",
       "      <td>0.137762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013-03-29T18:11:42</td>\n",
       "      <td>0.142119</td>\n",
       "      <td>0.290962</td>\n",
       "      <td>1</td>\n",
       "      <td>mean</td>\n",
       "      <td>0.343453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013-03-29T18:11:42</td>\n",
       "      <td>0.177749</td>\n",
       "      <td>0.339646</td>\n",
       "      <td>2</td>\n",
       "      <td>mean</td>\n",
       "      <td>0.313492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013-04-22T18:10:46</td>\n",
       "      <td>0.253788</td>\n",
       "      <td>0.337367</td>\n",
       "      <td>0</td>\n",
       "      <td>mean</td>\n",
       "      <td>0.141594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013-04-22T18:10:46</td>\n",
       "      <td>0.066927</td>\n",
       "      <td>0.424787</td>\n",
       "      <td>1</td>\n",
       "      <td>mean</td>\n",
       "      <td>0.727673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1150</th>\n",
       "      <td>2021-12-15T18:15:31</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>mean</td>\n",
       "      <td>-9999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1151</th>\n",
       "      <td>2021-12-15T18:15:31</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>mean</td>\n",
       "      <td>-9999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1152</th>\n",
       "      <td>2021-12-31T18:15:25</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>mean</td>\n",
       "      <td>-9999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>2021-12-31T18:15:25</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>mean</td>\n",
       "      <td>-9999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1154</th>\n",
       "      <td>2021-12-31T18:15:25</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>-9999.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>mean</td>\n",
       "      <td>-9999.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1155 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     date           B4           B5  pivot reducer  \\\n",
       "0     2013-03-29T18:11:42     0.239893     0.316394      0    mean   \n",
       "1     2013-03-29T18:11:42     0.142119     0.290962      1    mean   \n",
       "2     2013-03-29T18:11:42     0.177749     0.339646      2    mean   \n",
       "3     2013-04-22T18:10:46     0.253788     0.337367      0    mean   \n",
       "4     2013-04-22T18:10:46     0.066927     0.424787      1    mean   \n",
       "...                   ...          ...          ...    ...     ...   \n",
       "1150  2021-12-15T18:15:31 -9999.000000 -9999.000000      1    mean   \n",
       "1151  2021-12-15T18:15:31 -9999.000000 -9999.000000      2    mean   \n",
       "1152  2021-12-31T18:15:25 -9999.000000 -9999.000000      0    mean   \n",
       "1153  2021-12-31T18:15:25 -9999.000000 -9999.000000      1    mean   \n",
       "1154  2021-12-31T18:15:25 -9999.000000 -9999.000000      2    mean   \n",
       "\n",
       "             NDVI  \n",
       "0        0.137762  \n",
       "1        0.343453  \n",
       "2        0.313492  \n",
       "3        0.141594  \n",
       "4        0.727673  \n",
       "...           ...  \n",
       "1150 -9999.000000  \n",
       "1151 -9999.000000  \n",
       "1152 -9999.000000  \n",
       "1153 -9999.000000  \n",
       "1154 -9999.000000  \n",
       "\n",
       "[1155 rows x 6 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tsPandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What can we see here?\n",
    "\n",
    "- The values for each band (NDWI, NDVI and CVI) are in separated columns.\n",
    "- There are some -9999 values in the NDWI, NDVI and CVI columns. These values represent the NA values (e.g. Clouds or shadows). The -9999 can be changed by modifying the `naValue` parameter in the `getTimeSeriesByRegion` method (e.g. `naValue = -10000`).\n",
    "- Multiple reducers can be used. In the output dataframe they are specified by a single column named `reducer`: mean, median.\n",
    "- The date is a string that needs to be converted to a date data type.\n",
    "- The attributes of the original feature collection are attached to the data frame: `pivot`.\n",
    "\n",
    "Given this, let's curate our data frame!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's get rid of the -9999 value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsPandas[tsPandas == -9999] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And now, let's convert the date to a date data type:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsPandas['date'] = pd.to_datetime(tsPandas['date'],infer_datetime_format = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also gather the GNDVI and EVI columns into a single column to make the data frame more 'tidy-er' (This is optional):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "value_name (Value) cannot match an element in the DataFrame columns.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_409/3215701089.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m tsPandas = pd.melt(tsPandas,\n\u001b[0m\u001b[1;32m      2\u001b[0m                    \u001b[0mid_vars\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'reducer'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'pivot'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m                    \u001b[0mvalue_vars\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'NDVI'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'NDWI'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'GVMI'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m                    \u001b[0mvar_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Index'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m                    value_name = 'Value')\n",
      "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/pandas/core/reshape/melt.py\u001b[0m in \u001b[0;36mmelt\u001b[0;34m(frame, id_vars, value_vars, var_name, value_name, col_level, ignore_index)\u001b[0m\n\u001b[1;32m     54\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mvalue_name\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mframe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m         raise ValueError(\n\u001b[0m\u001b[1;32m     57\u001b[0m             \u001b[0;34mf\"value_name ({value_name}) cannot match an element in \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m             \u001b[0;34m\"the DataFrame columns.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: value_name (Value) cannot match an element in the DataFrame columns."
     ]
    }
   ],
   "source": [
    "tsPandas = pd.melt(tsPandas,\n",
    "                   id_vars = ['reducer','date','pivot'],\n",
    "                   value_vars = ['NDVI','NDWI','GVMI'],\n",
    "                   var_name = 'Index',\n",
    "                   value_name = 'Value')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check our curated data frame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reducer</th>\n",
       "      <th>date</th>\n",
       "      <th>pivot</th>\n",
       "      <th>Index</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.137762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>1</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.343453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>2</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.313492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-04-22 18:10:46</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.141594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-04-22 18:10:46</td>\n",
       "      <td>1</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.727673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3460</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-15 18:15:31</td>\n",
       "      <td>1</td>\n",
       "      <td>B5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3461</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-15 18:15:31</td>\n",
       "      <td>2</td>\n",
       "      <td>B5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3462</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>0</td>\n",
       "      <td>B5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3463</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>1</td>\n",
       "      <td>B5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3464</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>2</td>\n",
       "      <td>B5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3465 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     reducer                date  pivot Index     Value\n",
       "0       mean 2013-03-29 18:11:42      0  NDVI  0.137762\n",
       "1       mean 2013-03-29 18:11:42      1  NDVI  0.343453\n",
       "2       mean 2013-03-29 18:11:42      2  NDVI  0.313492\n",
       "3       mean 2013-04-22 18:10:46      0  NDVI  0.141594\n",
       "4       mean 2013-04-22 18:10:46      1  NDVI  0.727673\n",
       "...      ...                 ...    ...   ...       ...\n",
       "3460    mean 2021-12-15 18:15:31      1    B5       NaN\n",
       "3461    mean 2021-12-15 18:15:31      2    B5       NaN\n",
       "3462    mean 2021-12-31 18:15:25      0    B5       NaN\n",
       "3463    mean 2021-12-31 18:15:25      1    B5       NaN\n",
       "3464    mean 2021-12-31 18:15:25      2    B5       NaN\n",
       "\n",
       "[3465 rows x 5 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tsPandas[tsPandas['Value'] > 1] = np.nan\n",
    "# tsPandas[tsPandas['Value'] < 0] = np.nan\n",
    "\n",
    "tsPandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's visualize our time series using `seaborn`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f7f0ba19d90>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 938.5x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(tsPandas,row = 'pivot',height = 3,aspect = 4)\n",
    "g.map_dataframe(sns.lineplot,x = 'date',y = 'Value',hue = 'Index',style = 'reducer')\n",
    "g.add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's do the same, but now for radiometric temperature (two bands, B10 and B11)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "ts = L8.getTimeSeriesByRegions(collection = pivots,\n",
    "                               bands = ['B10'],\n",
    "                               reducer = [ee.Reducer.mean()],\n",
    "                               scale = 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsPandas2 = geemap.ee_to_pandas(ts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>B10</th>\n",
       "      <th>pivot</th>\n",
       "      <th>reducer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-03-29T18:11:42</td>\n",
       "      <td>306.408830</td>\n",
       "      <td>0</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013-03-29T18:11:42</td>\n",
       "      <td>303.716339</td>\n",
       "      <td>1</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013-03-29T18:11:42</td>\n",
       "      <td>303.921917</td>\n",
       "      <td>2</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013-04-22T18:10:46</td>\n",
       "      <td>307.296102</td>\n",
       "      <td>0</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013-04-22T18:10:46</td>\n",
       "      <td>297.388625</td>\n",
       "      <td>1</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1150</th>\n",
       "      <td>2021-12-15T18:15:31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1151</th>\n",
       "      <td>2021-12-15T18:15:31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1152</th>\n",
       "      <td>2021-12-31T18:15:25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>2021-12-31T18:15:25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1154</th>\n",
       "      <td>2021-12-31T18:15:25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>mean</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1155 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     date         B10  pivot reducer\n",
       "0     2013-03-29T18:11:42  306.408830      0    mean\n",
       "1     2013-03-29T18:11:42  303.716339      1    mean\n",
       "2     2013-03-29T18:11:42  303.921917      2    mean\n",
       "3     2013-04-22T18:10:46  307.296102      0    mean\n",
       "4     2013-04-22T18:10:46  297.388625      1    mean\n",
       "...                   ...         ...    ...     ...\n",
       "1150  2021-12-15T18:15:31         NaN      1    mean\n",
       "1151  2021-12-15T18:15:31         NaN      2    mean\n",
       "1152  2021-12-31T18:15:25         NaN      0    mean\n",
       "1153  2021-12-31T18:15:25         NaN      1    mean\n",
       "1154  2021-12-31T18:15:25         NaN      2    mean\n",
       "\n",
       "[1155 rows x 4 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tsPandas2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsPandas2[tsPandas2 == -9999] = np.nan\n",
    "\n",
    "tsPandas2['date'] = pd.to_datetime(tsPandas2['date'],infer_datetime_format = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsPandas2 = pd.melt(tsPandas2,\n",
    "                   id_vars = ['reducer','date','pivot'],\n",
    "                   value_vars = ['B10'],\n",
    "                   var_name = 'Index',\n",
    "                   value_name = 'Value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reducer</th>\n",
       "      <th>date</th>\n",
       "      <th>pivot</th>\n",
       "      <th>Index</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>0</td>\n",
       "      <td>B10</td>\n",
       "      <td>306.408830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>1</td>\n",
       "      <td>B10</td>\n",
       "      <td>303.716339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>2</td>\n",
       "      <td>B10</td>\n",
       "      <td>303.921917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-04-22 18:10:46</td>\n",
       "      <td>0</td>\n",
       "      <td>B10</td>\n",
       "      <td>307.296102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-04-22 18:10:46</td>\n",
       "      <td>1</td>\n",
       "      <td>B10</td>\n",
       "      <td>297.388625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1150</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-15 18:15:31</td>\n",
       "      <td>1</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1151</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-15 18:15:31</td>\n",
       "      <td>2</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1152</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>0</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>1</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1154</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>2</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1155 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     reducer                date  pivot Index       Value\n",
       "0       mean 2013-03-29 18:11:42      0   B10  306.408830\n",
       "1       mean 2013-03-29 18:11:42      1   B10  303.716339\n",
       "2       mean 2013-03-29 18:11:42      2   B10  303.921917\n",
       "3       mean 2013-04-22 18:10:46      0   B10  307.296102\n",
       "4       mean 2013-04-22 18:10:46      1   B10  297.388625\n",
       "...      ...                 ...    ...   ...         ...\n",
       "1150    mean 2021-12-15 18:15:31      1   B10         NaN\n",
       "1151    mean 2021-12-15 18:15:31      2   B10         NaN\n",
       "1152    mean 2021-12-31 18:15:25      0   B10         NaN\n",
       "1153    mean 2021-12-31 18:15:25      1   B10         NaN\n",
       "1154    mean 2021-12-31 18:15:25      2   B10         NaN\n",
       "\n",
       "[1155 rows x 5 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tsPandas2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f7f094e3af0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oQbKkY2VNJHA7FadajE67Xf4IoYgx7kVKdoWY+lLSZVdr3QE8g7E3dCi1QE3cz9VAXfKOKnWsGaTFcRlSgNdfVIXbqfjVy32J4U5fmGeONKX0+IQYK+sEKxLTcvIpJo0OX9g+SZWS3fHr9IfpCUYSPoYnmnu4+itPU985eJ+oVbLbJe8J/fQGI3hcxunWgfOyj3SsTrX0UpztYUFpDqfNDGn8DGwp2RVi6ktml91SpVSB+X0mcAMwXA3Qw8AdSimvUmoesAjYnqzjS6WWXqOsJL6pEUBRtodXLa/g97tqCUaME/wHtp/l3T99mQ4pQRGTmFWyC1K2KyaP+JPULinZHTdrkcnaoxdvX20nZ9t87DrbMeh3HbKHNCFfKEpNYSZF2R72SUA6Ziebe5lfms28kmxOm+W7TV19nzsT/Xw7UNfJhx/YSTgam9D7FUIMLZkZ0krgaaXUXuBljD2kjyilXq+UqgUuB/6slPoLgNb6APAQcBB4HLhbaz0tNltYGdKSbO+g37350hrafWGePWLsh23sCqA1nI/rJKe15qlDjUTkzVFMEv64gFRGv4jJosGcQVqQ5aZniID0p8+fYve5jhQe1dRjjdFo6Bz82rYWoOL39Vnae43AoDcUlZP5OL2hCDleFytm5bFfGhuN2cmWXuaVZDO3JJuzbT4i0RhN5uJTRV4GnRNcsvvc0RYe2VtPbfvM6Rb9xMFGHtk7LYoSxRQ16oBUKZU9ljvWWu/VWl+ktV6ttV6ptf68efnvtdbVWmuv1rpca31T3G2+oLVeoLVeorV+bCx/bzKzRrsMzJACrKnOB+Cc+cbXajaFqOvoW5k+WN/Fe+/bwSN765N9qEKMij8UpTDLDSQe/fLQjnMyc28EoUjMnk84UHcgzJcfO9wvEy1GZmVNFpbm0B1MXG76H386yIPbz6b60KYU6wS/IUGGtM38jEoYkMZV9kjZbp/eYIQsj4uVVfkcbey2K6LEyLoCYVp6gswvzWFecTaRmOZ8h99uXraoPGfC55BaGddEZenTkdaaz/3pAF/9S6IBGEKkxogBqVLqCqXUQeCQ+fMapdR3k35k04i1v6HAPIGPl5vhRqm+LnFW8Hq+3Wdfp94MTnedbU/2oQoxKr5wlJqiLCDx6JfPPXyAH2w5merDmlK+8vhhbvnfLf0GvVteOtnG9549wdZjLWk4sqnLCqAWlOYk7LL7wDYjEJUmKEOLxjTdZkOoRCW7VsXP6RECUinb7dMbjJLtdbKqKp9ITHO0oWfkGwkATjUbzzMrQwpwutVHU3eAHK+LqoLMCX89D1eyPh0daeymtt3P2TafdIEWaTOaDOl/AzcBrQBa6z3A1ck8qKnsyYONnGvz9bvMagCT4XIOur7TocjPdNtBq/VhX9fZ90ZolUjtloyTmCQCoSjleRm4HGrQHtJQJEZvKGo3nxCJnW71ca7Nz7aTrYN+Z42JOFQv5X1j0dAVoCjbQ3GOh55ABK37gv1AOMpvXjHGbE10RmU66Q6EsR62hs4EAekwGVIrewoSkMbzhcwM6SyjIsraR9rUHUi4ICX6nGwxgvcFpdnMLzUC0pdOttLUHaQs10t+lnH+FP9av1Cdw5SsT0dPHTIaaWptVJFY6jr8/OzF0xP62AoxlFGV7Gqtzw24SJZQEtBa8+Ff7uRHW0/1uzwQjpLpduJwJJpsAwWZbtrNFT7r5D5+D6l12aG6Lin1EZOCPxwl2+OkKNszKCC1TkRPNffKB9kwrAYwf9w9eN+ONbJERkSMTVNXgLJcL7kZbiIxTSDct4/xkb31dPrDlOR4JUM6jPhAMlHJbqvZpK+1NzSo5LzDFyY/06gEks6nfXpDUbK9LmqKMsnNcLG/rpMOX4hNX3mG+144ne7Dm9RONffiUFBTlEVJjpdb18zix1tPceB8J6W5XgoyPYQisX6v9Qs10zKkTxxstMcSHm3sG0P4+13n+bc/HuiXIBEiWUYTkJ5TSl0BaKWURyn1CczyXdFfIGy8KQ7skOsPRcn0DM6OWgqyPHT4QkRj2m6bX9cvIDUuC0VjHK6XmaUi/fzhKJkeFyU53kF7SK3V5e5gJOH+UmGwyhsf3V8/aKHJF7IypPJ6H4uGrgAV+RnkZLiA/qNf7t92hgWl2VyzpHTI7N3vdtbyqd/sScmxTlbWY+NQQ5fsZpufZwPLdtt9IbusUvaQ9vEFI2R7nCilWDkrnwPnO9l+qg1/OMqzR5vTfXiT2omWXmqKsvCaFWafvnkpYFSYlOVl2FuhJrLqwXoNJKoQmG6augPsqe3gzsvm4HYqjjb2ZUitxeYTTVJiLpJvNAHpB4G7gSqMWaFrzZ/FANYb4sCVYb+ZIR1KQZabDl+Ydl8IrUGp/gFpc3eQXK9xgrWntmPiD3wG0lpL9u4C+EPGc7ok12vve7bEZ58SlfUJQ6c/zOyiLLoDEZ450v+ktCdoBKinW3vt4FSMrKEzSEVeBnlWQGpmmtt7Q+w628HtF1dTaL7fJvK3w00zvnmc9djMLc5OeELe1hvi4jmFwODXd3tviLnFxt5yKdk1xGKa3lCULPMzfFV1Pocautl63NgfvuN0m3TQH0Z9h5+qgkz756qCTD5w9XwAynO9FFgZ+QmseugYpqnXdPP04Sa0hs0rKphfksOxuAyptYUsvoxXiGQZMSDVWrdore80O+KWaa3/Tms9eNOTsD+AB34Q+8NRMtxDP9SFWR46/CH7xb+wNIem7qA94L25J8iyyjxKc70yrmCC3P5/L/DvDx9I+LtOX7hf2YroT2ttZkgdlOR4BmVB+wek8kGWiNaaDl+Ym1dVUJLj4eEBZbvWHlKt4XCDPBdHIxyN0dobpCwvg1w7Q2o8jtaevYtqCijI8uAPRxN2MG7pCeILRWf01gjr82tJRS4tPcF+wVIgHKUnGOGimgKU6h+QBiNRekNR5hQbGdKJHsUxVVkjsqys8opZeYQiMX6/8zwep4PeUJQDdVKaP5ROf3hQQ8gPXrOAy+YXceXCEvKz+gLSww1dE7LvfiaV7P7tcBNVBZksq8xlYXkOx+KyoVZ5/slmWVgWyTeaLrs/UUr9eOBXKg5uqrFOxAd+EAdGKNnNz3TT0Ru2yyNWVeejdd+bYUtPkNJcL2uqC9gjAekF84Ui7Drbwc9fOsP+BEPK//dvx7jt289Lt7khhKOaaEyT5XFRmuOluSfYL9scXyFwUjKkCXUHI0RimpJsL5tXVvC3w039mpv4QhFc5p5zaWw0Os3dQbQ25hLmeI2TVKtk1wpIV1Tl23scE5WUWosrMzm7Z/3bF5fnEtP95wxbTYsqCzKpKsjsF5Ban39luV4y3c4Z/RjG6zUrHLLNDOnKKqOxUXcwwpsvrQZg+6m29BzcFNDpj9ivWUuWx8WDd13OtUvLKMj0mNcL8dnf7+fuB3Ze0N+LxjTdgQgOBU3dwWnfdOpMq4/ls/JQSrG4LJdz7X2ddiVDKlJpNCW7jwB/Nr+eAvIAeXYmYH0gDyzZ9YWiZLldQ96uIMtNdzBil0etNj+wrMZGzd1BSnI8rK3J50Rz75CzC8XoHDdXALWGL/z50KDS3aON3fjDUV48KSM3ErE+rDLcTkpyvIQiMbs0Evqa9ZTleu2W/aK/jt6+UVBrqgvwh6OcietK3BOMUl2YSV6Gi4PDZE9eOtlKbbtvyN/PJFZ5XXme186Q9lgZ0tpO5hZnkZ/pjttzliggNYKvmbz/MT5DClAfV7ZrnaAWZ3uYV5LdL3Ni7YkuyvaQn+mWgNTkM8vvs73GovS84mw7W3rrmirmlWSz7ZQUnQ2lKxAmL3PwyDxLQVyG9HRLLyebey9oq4j12p9Xkk00pvttSfnXP+znI7/cNe77now6/X2NyBaX56B13zlSiwSkIoVGU7L727iv+4E3AyuTf2hTj9XMpXNAC3J/OErGMBnSwixjhc9qb766pgAw9pEGwlG6AxEjQ2pevk/Gv1wQa9P+u66Yy4snW3nSbHlusU6yBu7rEwarBM3YQ2o8d+NnkXb6wzgUrK4uGNWJwXNHmweNSprurJP3wiwPSyvyADgSV5rrC0bI9rpYWpmXMEOqteY7Tx/njntf4rvPnEjNQU9yjZ1WQJq4ZHdVdQGAnVEZuOcsHI31LSrO4HLTTn8Yr8vBHHMvaGP8CDKzhK84x8vKqnwON3TZC1TtcYssEpD2sTpmZ3mM56TDoVgxKx+vy8Gamnw2zCti+6m2aZ+JG49AOEooEhuUIY1nBaTnO/z2SKK/HW4a8vojGbggYy10dfhC/Orlc7x8enpls7viAtJF5ca/+WhjN7GYpt0Xwuty0NgV7NcgTohkGNXYlwEWAbMn+kCmA+uNLBrT9ocQWGNfhn6orTfUE029uByKZeYJal3cG2xJjpfVVQUAso/U1NoT5JUz7WO+3bHGbjxOB5+5eSkLy3L44qOH7P26gXCUuk4jM/23w03TvvHR2VbfmDPudkDqcVCS4wXot4/UGv2woCybM62+YU+09p/v5F0/2c53nzk+jqOfuuyANNvNovIcHAoOxQWkPWZAurwyj8MNxslBvM8/cpCv/uUIYASvAmrbjddtTWEWuWbJblcgTGtPkPMdflZVGe+rfRmV/nuf42dozuiA1Gfs2avIywDgXFwGvq3H+jzycOncQsJRbTfai19kkYC0jzWHPNvTVyX1/qvn8+nNS/G6nGyYX0RXIMJhGfE0iPUcGi4gzXQ78Tgddlk+wN8ON17w31xc3r9C4I+76whFYzR3Bwe9H09V4agxMzwvw3h85xZn4XE6ONrUTac/TDSmuXi20cBM9pGKZBvNHtJupVSX9V/gT8Cnk39oU0/8SUz89yN32TVW7I8391CU7SHT46Qkx0Ntu9/OPJXkGAOg55dkyz5S071bTvLG773A88fHVlp7tLGb+aXZZLidfPbVyzjV0ssvXjoDGPsptIYN84qobfdzYpq/Cb/l3hf5mhnYjJaVEcl0u+yAtDkuQ9rhD1OQ5WF+STahaKxfx+h40Zjms7/fR0zD2RmWIbXeH/IzPWS4ncwtyeZI3AlpbyhCjtfFsspcfKFov8dn28lWfvL8ad5x+Rzml2QTjk6Pk6MLda7dR26Gi/wsd9zYl4h9orrKXNAbqmR34HN4purwh8jPdFOU7WFpRS7/+9Rx9ppBp9XkpCjbY5+oWouC8SW7eRKQ2qw9pFnevnOAG5eX856r5gGwYV4xANtOTq/M20QYTUCqlCI/y21Xjl21sIRtJ9v6ZfTqO/2ER9nJ2HrtLzUzpFYvj4d2nAMgYmYOp4Mu+/E13i9dTgfzS7M51thjv9YvnVcEXFjZbiAc5Z0/3m6/jwiRyGhKdnO11nlx/12stf5tKg5uqok/iYn/MB5xDqn5Znu6pZdi8wR/ZVU+W4610GSeJJXmGpevqSmYEaNfthxr5v0/2zFshrKl2xiT89EHd9E0hm54Rxt77NKUa5aUsnFRCd986hgdvpDdFdY6WXjmyPhLfya7QDhKfWdgzB0e/WHjBCvT47SzKPHt8Tt8xgntvJIcYOgPsge2n2VPbSclOR7OtSUOWqervmyS8dpfWpE7oGQ3SpbHyYpZxn7yXeeMk36tNV/5yxHK87zcc/MyPC4HwYiMjAAjQ1pdaJSZOh2KbI+TnmDEPlFdaWdIzSYoA7KgLXF7xQZmT2cSa0+ZUoqfvns9BVlu3vnj7Rxv6qG1J4TH5SDH66Igy8Oishy7hNFaZCnIMvbpzuR9uPGsPaQ53sR9JGYVZFJdmCn7SBOwzqOsDN5QCjLddjXZu66YSySmee5oC1uPtfD2H23j8i/9jZ8+f3pMf3N+aQ4uh6KhM8CBuk4O1HWx3gzOmrqDw93FlGEH/HFdjBeV53K0sduuerp4dgEuh7qggPRkcy/PHm3mm08eu7ADFtPakAGpUuri4b5SeZBTRecwAWnGMBlSaw9pJKYpyTG+f+3qWZzv8PPkQaP0pMQKSKvzaewKTvuBzY/sqeeJg412eWginf4wJTleeoNR/uGXu0Y1y603GOF8h5/FZUawpJTinpuX0ekP88vt5+yusFctLGFxeQ5PT+OA1HoOHW/qGVNpsj9kPM6ZbicFWW5zj0nf89Fq0z+vxBj/kGgfaXN3kK88fpgrFxbzpnU11HX4Z9QeqnZf/5X/pRV5nGnz2TNHe4JGhnR5ZR5F2R6eO2pUATx1qIlXzrTz0esXk+lx4nU5CMkMQwDOtfmoKeybV5iT4aLLH+aPe+pYXZ1PrnlSm+1x4nKoQVmO+LLzmZzdM7qaGp9DFfkZ3P++DYQiMX609RStvSFKsj0oZXSAXje3iJ1n2onFNG29IbI9Trwup5TsYlQytPYE+zKkwyxKb5hXzPZTbdOmFHSidPpGzpBCX9VDXoaLa5aUUpDl5hO/3sPf/Wgbhxu6Kchys32Uez87zfeFgiw3ZbleGroC/HpHLR6ng/dvNOafTruANO7xXVSWQ2273+7rUJGfweziLE40jb9arLHbOD/425EmzrbOrGooMXrDZUi/PszX10a6Y6VUhlJqu1Jqj1LqgFLqc+blRUqpJ5RSx8z/Fsbd5h6l1HGl1BGl1E0X8g9Lh05f2O6eN7Bkd7gPo/jVKasE8sYV5XhcDn6/+zxgdDUE7MZG030fqbWfJhAe+mS7yx9mQWk2X3j9SradauO/nzw64v1aM7YWm+U4AMtn5XHZ/CLu33aG4009lOd5yfa62LS4lO2n2hLOK5wOrKxmpz9sry6PhrVIkOVxopSiIj+jXyfODl+Ygkw3JTkecr2uhAHpFx89RDAc4/O3raSmMItITM+IIeSWDl+IvAwXLqfxFrykIhet+xpu9Zp7SB0OxcZFJWw51kwkGuOrfznCvJJs3rTOGBfhcTkIS4YUrXW/DClAboabvx1u4nhTD++5cp59uVKKgiz3oLJcK0PqdTlm+B7SUL8T1DnF2XYDo9aeIEXmoinAujmFdAUiHGvqod0XsrPP+ZluekPRUZdJTjfBSJS/+9E2fvL8aXumcPwe0oE2zC+i3RfuNwNSjK5k1/i98bybXZyFy+ngjktnM7soiy/fvoqtn76WqxeVcsAs3T/e1M0Hf/7KkL0T4v9meX4GtW1+/rj7PDcuL2dxubGQPZaKrMmsy2z6Fv/4Wv9GaxRRcbaXBaU5dtPN8WjuMt5btYafvXh63PcjprchA1Kt9bXDfF03ivsOAtdprdcAa4HNSqnLgM8AT2mtF2GMkfkMgFJqOXAHsALYDHxXKTV0FDcJdfhDfUPBzTe1cDRGJKaH3UOal+HCac4ctALPvAw31y4pJRSJkZfhsjOsyyrzcDvVtC7bjcY0RxqN8sXhBtRbpWW3X1zNHZfW8J2nT4yY0Txq3q/VsMDy9svmUtvu57F9DXZmb3V1AeGonrYtz+Oz7MfHcCJkBaTWc7IiL6NfJ84O88RUKcW80uxBAemLJ1r5/a7zfGDTfBaU5lBTZGS1ZlKn3XZfmMLsvhN7a7/S4fouYjGNLxy1F7c2LS6lpSfElx47zJHGbj5+42LcZiDrdkqGFKC1N4Q/HLWfSwC5GS5ae0NU5mdwy+rKftfPz3QPLtntDpLhdlCZnzGjs3vxYyAsyyrzONJglPEVZ3vtyy+da5Qwvny6jfbeEIXZxu2s24/0OHYFwqOqbJlq6joChKOapu6A3dQofg/pQJdZ+0ilbLef0QakVoZ0dpGxIPWZm5fyl49dzR3rZ+N1OVlVlU9dZ4DWniA/2nqKxw802H0jEv3NTLeR6a/Iy2D76TbafWHetK6aslxji8p0y5DGl0Rb25lePNmKUsa2kgWlOZxu8Y37tWpVUN24vJyHdpyzK4GEiDeqLrtKqZVKqTcrpd5hfY10G22wznLd5pcGbgPuMy+/D3id+f1twINa66DW+hRwHFg/+n9K+nX4wnar/A5zBMzAk/dElFL2G661hxTgtWtmAX3lutb9LKvMm9aNjc609tqZ0eEypPEnTv9x6wqWVuTysV/tHrKJDsCf99ZTmOW2P7gsr1pRTmmuF384au99XFZpBQndg+5nKurwhfqV5taPNyAN9e0hBaOkp77LeMyjMU1XIGLPjRs4qzAUifGvf9xPTVEmd1+7EDC6okJfl9TJLhyNXXD35Y64bBIYj0Gm28nRxh784ShaQ7a552zjolIAfrT1FCtm5XHLqr7gyuNy2B2iZzLruROfIbX27L3rirl2AG8pyPLY79GW1t6Q2TzOM2ObGlldNwuyBgakRnOtww1dFMdlSGuKMinN9fLKmXZjkcV8TheZiy3DbS2JxjQ3fP1ZfrDlVBL+JellNSFr6w3TG4zgcig8zqFPt2qKMqnMz5DGRgPYAdNIAan5+5oBn+uWleZs9x1n2nlkbz0AP3n+dMIFb6tLPBgjpMBYdN24qJRMj5Ncr6tfA7SpLFHAP6fI6LRb2+6nINONy+lgQanRoHC8zQcbuwMUZrn5wNXz6QpE+P2u8xNy/GJ6GU2X3X8HvmV+XQt8Bbh1NHeulHIqpXYDTcATWuttQLnWuh7A/G+ZefUq4FzczWvNywbe511KqR1KqR3NzZNrTmSnP0x5XgYel8NefQ9YHUmHKdmFvjfUkrgP++uXlpPlcdplvJbV1fnsre2ctiNJDsc1dxmuXDY+IM1wO/nunRcTiWrufmBnwpP0HafbePZoMx/YtMDOSFvcTgdvvbQGgPlmhnRucTYel8PO1sbrDUb44M9f4Uzr1OjC+/SRJi7+zyd44UTfCnxjV4Acr4ssj3NMWeC+Lrt9AWljZxCttd3IpCAuIK3r9Nv/H3+w5STHm3r4/K0r7UWayoIMlJq8GdKH99Tx+T8dtH++6X+e459/v++C7rPDF7YbGoExm7CqMJPzHb6+Ej8zoCrN9bJiltGQ51Obl+KIe+56nI4ZWxYZz3ruxGdIi7I9ZHuc3LF+8JSygkz3oLLclp4gJTleCjLd9j6ymWaojJQ1Kzcc1XYVDxiLqevnFvHMkSZq2/12QLrW3Foy3FiuE809NHUHp8x76FhYz8d2XwhfKEq212Xvu01EKcWGeUU8f6KFD93/Cpv/5zmazH133YEw9z53glu/vfWCxplMRZ3+MLle16DP64Gs5+vAhWbLCrOh2f8+dYzuQIQPbJpPc3eQPyQIjKweCACV+UZAevvFVfYxlOZ57f83U11XgoDf6rQLfQkSK2saX1IejET5xK/3jGoxu6krSFluBpfMKWTFrDzue+H0tD1/FeM3mgzpG4HrgQat9buBNYB3+JsYtNZRrfVaoBpYr5RaOczVE73jDHrGaq3v1Vqv01qvKy0tHc1hpEQkGqM7EDE6DMY1dLBnNg6TIYW+kpP44DPT4+Q/Xrui3/4ngAWlOfQEI2Pa9zeVHK7v6/o6VEAaisTwh6P9Tpzml+bw5TesYtfZDr7y+OFBt/n6X49SkuPhHZfPSXifd142h6UVuVy+wCifcjkdLCrL4ZB5PI/vb7BPsLafbuPxAw32autk1t4b4lO/2UtMG3M/LfWdfirzM1hQmjPGkl0jALL2RVfkZRCKxmjrDdmZJev5PL80B62NcTpNXQG+9bdjbF5RwbVLy+z7s0qjJmuG9NG99Tyw/Qxaa8LRGCebe/nl9nP8flftuO+z3ReyT94tVQWZnO/w02vNLYwr8Xv/xvm84/I5XL2opN9t3JIhBfpmZcZnSP/pxiXc//7LEpb75WcNDkibu82ANMH+0pliqIB0cXkuVkxQPGCB9CPXLyIQjtHSE7QXWWqKsqgqyLT3oSWy1+x+PB3Lo63nY1tvyJgpPMKCNMCmJaV0+MK8fLqdww3d/Nn8bLn7gV188dHDHGvs4T8fOTQtS5yH0uUPj5gdhcEluwPlZRhN9g7UdVGe5+VTNy1leWUe33v25KDHszPuby6flUeG28Gb19XYvy/L9dLUNX0ypF6XY1AFn7WlyVp8WmQ2gTwWtzi//VQbv3ml1h6HM5zG7iBleV6UUrzzirkcbezhxZNSni76G01AGtBax4CIUioPI9s5fyx/RGvdATyDsTe0USlVCWD+19r0VwvUxN2sGqgby99Jp/jN4flxq+++0GgDUuOFH18OBfDmS2vYvLKi32VWiePAjFKnP2xnV6ayQ/0ypIk/fBO1Kwd4zepZvPPyOfxw6yke398AGA1P/rj7PC+ebOXvr1lI1hDNJcrzMnj8H6+2y3vAyAwcbuimqTvARx7cxTeeMGZ2HjRHpewcJgMwGWit+Zc/7KfDFyLT7eR0XDaioTNARX4GC0qzOTGOkl2vy3j7iB/90hHXoRD6ss2nWnr4y8FGAuEY//SqxYPus7ow0z6Jm2zquwIEwjE6/WHazUUgj8vBZ3+/n5Pj3F/c4QsPKousKszkfLs/YROU111UxedvWzkoy+J1ytgXwMzOufuN1phdnGVn6gYqyPQMCoRaekKU5noSZk9niqHeVzM9xqxcoF+GFIyGXF9+wyqgbzwZwPp5RWw71TZkJmSf2QdhOj7W59r6AlJfKELWECNf4t22pootn7qW7f98PUvKc3lsXwM7z7bz3NFmPrV5Cf9zx1pOtfTyu1GWO4ajMa792jM89PLIAcNklWg/cyKLy3PJ8jhZUpE75HWsKpPXXWRkOz96wyJOtfTy2539FxY7/WG7wmfjolL2/Pur7Oc+QFluxrTZQ9o1xONrNTayEiTZXhdVBZl20z0wekEAbDk28hz4pq6Avf/21jWzKMxyc98Lpy/08MU0M9zYl28rpa4EtiulCoAfAK8AO4HtI92xUqrUvB1KqUzgBuAw8DDwTvNq7wT+aH7/MHCHUsqrlJoHLBrN35ksnErxnivnsaoqn4KsBBnSkUp2E2RIh1JtlqUNzCi988fbufOH26Z86/jDDV1UFRj/xsAQTY2Ga3bwz7csY3V1Pp/49R7e9L0XuPqrT/PRB3czrySbOzcMLt8bztKKXJq7g3ztL0cIRWL2G7IVkO461zGpS08e3lPHn/fV8483LGZpZS6nW/qCvoauABV5GSwsy6GuMzDqxQx/OEqm22kHRxVmWVNjVyDu/4tx0mp9kJ9s6eWpQ43MLc5iobnaGq+mMIvaSVqy29BpvM4augJ2VcJnNi/F43LwD7/cNWzjrURCkRg9wUjCDGm7L0yz2e11qLmF8TwuKdkFIwCIz46OpCDLTU8wYj920ZimrTdo7yHtCoSn/PvoeAw3ZmNZpXFCP3DRFOC2tVX8/L3ruXNDX/XJ+nlFtPQEE3bZBth7fhpnSM25yp3+MF3+0WVIHQ5FTVEWSiluXlXBy2fa+K9HDlKY5eadl8/lVcvLWVWVz/8+dWxUVRF7azs51dLLtmGy1JPdaAPSDfOLOfC5m+ygJ5GLZhsDHW6/yOhQ/qrl5aypzud/nzre7z184N/0uvr/vyvLNUp2J/Pn/mgN9fguLDMC+6K4xafF5Tl2U0jA3v5zqL5r2D21sZimuTtIeZ5xbpvhNrZRPHGwkdpJuggt0mO4DOkxjPEurwHuAV4CbgTeaZbujqQSeFoptRd4GWMP6SPAl4EblVLHzPv7MoDW+gDwEHAQeBy4W2s9ZeZt5Ge5+bfXLmfd3CLyM/uaYgRGmyHN7N8MYjh2hjTuxdzcHWT3uQ52n+sY9QrqZNQdCHOuzc+aGiNLGRwhQ5qonMfrcvKdt13MpXMLcTsdLK/M42tvWsNjH904bHOpRJaajY0e2lGL1+WguTtIhy/EgbpO3E5FW2+I05N0rlZ9p59//cN+LplTyAc3LWBecbadIQ1HYzR1B6nMz7ADxPjmQ8MZOMbICkjrO/sCUmuBJcfroizXy4G6Ll440cr1y8oT7qWqLsykoStAKBKzs5CTgfU4gfHvazOPbfmsPL72xjUcqOviS48OLg8fjtVMp3BAFqranKFplUWNJqvikTmkAJxv9/fbPzoS6/lpPV/bfSFi2sj+FWS60Rq6A1O/2mSs7NdvooC0wirjS7xounFRab/O0evnGR14EwVE4WjMXtSblgFpuw+303ifO9/hH7IqZyg3r6xEa9h5toP3XjXP3oP68Vctprbdz+f+dGDETqUvmSWRp6fwHt3RBqTAsHt0Ae7cMJvffegKO4uqlOITNy3hfIefX2472+9vDqxeiVeW5yUQjtE9DarROocoibYypPGLT4vLcznZ3GtuTwuz73wnVy82ts29cGJwlvQPu87zxMFG2nwhIjFtN4gC+LvLjIWrX7x0dtDtxMw13NiXb2qtLweuBtqAnwCPAa9TSi0a6Y611nu11hdprVdrrVdqrT9vXt6qtb5ea73I/G9b3G2+oLVeoLVeorV+7IL/dWmSH9cUY7QZ0ltWV/LBTQtGFTBle10UZXvsVViArceNBk+z8jP4f48fpmeKvllaK3BWqd1Q2aeuYTKkYOxh+sm71/PA+y/j+29fxxsvqR5zMAr0KwH66A3G037X2Q5Ot/rYvNLodjoZy3ZjMc0nf72XSEzz9TetwelQzC3Jpr4zQCAcpbk7iNZQbu4hBTjePLpuwv5QrN9jWZrjxaGgsTNgl9/Fn9DOK8nmrwcaCEViXB+3dzRedVEWMQ0P7TjHxf/1BAfqOhNeL9WsxwmMf5+VIS3O9nDD8nLedcVcfvrCaY43jb4Ts/0YJciQAhxpMLLwOcOMibC4nVN7D+npIbJnYxEIRznb5mNucfbIVzZZ7xutPaF+/y3J9donowO78E4Hp1t6+e4zx4dsJDRc5ckNy8tZN6eQBQkqHBKZX5JNSY4n4T7SY409BCMxSnO90y4g7QqE6fCF7Yzy+Xa/3aBstBaX5zC/NJvcDBfvuGKuffk1i0t5x+VzuH/bWW78xnM8cXDoJkd2QDoBr7F0GUtAOpIMt5OLZxf2u+yqhSVcNr+Ibz51jNaeINtPteELRYetVLNHv0zBfaSBcLRfZneox3ducTbvuHwOr1ret11sUXkuoWiMM20+Xj7dRjSmuWvjfPIz3WwdULZ7rs3HJ3+zh3/9w36703ZZXDl/VUEmr1pewYMvn522c97F2I24h1RrfUZr/f+01hcBbwNej1F6K4aQsGR3hGDokjmFfObmpaP+G9WFmf3KHbYcbaE428O377yY5u4g33n6+DiOPP0O1VsBqfHBMdSb1Wjnk12o0hwvlfkZXLuklNvWGk2f/7jbyEDftmYWuV4XO89OvoD05y+dYevxFj57yzK7bNYaSXSm1UeDOResMj+DOcXZOB1q1I2N/OFIvwUWl9NBaa6X+s4AdWZ5a/9mU9mEo5rcDBeXmlmTgays/38/cRSt4UjD6AO8ZIofjdPQFaDNLKe1KhluNvd3N47h5OSsmVG3MsuWWWZAeswMbkdzEjuVS3a3n2rjmq89wwvHR96DNJxD9V1EYprV1fkjX9lkLXg9d9RYyGsx/79aTY1gdHsbozHNT58/1a/Zx2QTjET54+7zvPXel7jma8/wlceP8L1nTyS8rvVvTpQ1WVqRx2/+/opRlZKD2YF3XlHCgHTf+Q4ANi4s6Vc6PR1Y+0fXVBcAEIrG+jUoGw2lFF970xq+//ZL+s2IVErx+dtW8usPXk6218n7f7aDD/78lUGNeUKRGDtOt+N1OWjtDdEVmJpBf1cgPGg/80SyHs+eYIR//NVu3nffy8wvzeYtl9YMeRsrsJrMnXbPtvoGlcO29gRZ/4Un+d3Ovgq6oQJSh8N4XJab+26hL2t6rLGbrcda8bgcrJtbyJULi3n+eEu/QPerfzlCOKpp6Arwp71GK5iyvP6fd++8Yi4dvjAP754yrWJEko1m7ItbKfVapdT9GBnSo8Abkn5kU1hBppveUNToBBsaeQ7peNQUZtl7SGMxzXPHWrhqUQkXzy7k9our+NGWU6Nqpz/Z9kEcb+ohy+O0246P2NQoyQGpUoqHPnA5/3PHRczKzyDb4+QvB4xV6VXV+aydXcDOsx1JPYaxOtHcw5ceO8Q1S0p5W9zIi3lmYHq6tddetazIy8TjclBVkNkv4z4cfyg6aIGlIj+TF0608uOtp7h6cSmuuJl71t/dtLh00DxIi1WuamUgz0+SjrvxcxQbzJJdpfqym1YpntW8bDRePt2Gx+lgVVX/AKo8LwOXQ3HM3Kc8mjI/Y+yLnpL7HZ83A9EnDl3YKIt95l7E1WYAMBpzirNZXZ1vnyzFB6TWe8pInXZDkRgf+eUu/uNPB3nHj7fb9zHZfPHPh/jog7up7fDxyZuWcOXCYrYca0n43t/pD5PjdQ35Oh2rDfOKOd/ht4PSvbUdbDvZyt7aTnIzXKwyFxG6plGW1HofXRPXUGusJbsAF88u5IoFJQl/d+ncIv78kY18YNN8Hj/QwO4Bc8n3ne/AH47aM4unYpY0GIkSCMfIyxj7YzcWi8tzufvahWw51oLX7eS+d68fVL0Sr8zcCzmZM6T/8OAu7vld/9FkD+2opSsQ6TfibaimRolYW3u+/fRxfvrCKa5ZXEqG28mVC0uo6wzw2P4GfvXyWf79j/t5eE+dUWrucfKAWZZr7SG1XDa/iCXlufxURsAI03BNjW5USv0Yo/vtXcCjwAKt9Vu01n9I0fFNSflx+5OsDGnWKJoajEW12ZEzFtMcbuimpSfIxkVGPf+nNy/F5VR88dFDw97HofouLvrPJ9hXOznKI8E46Z9VkGkH8OnOkIJR/puf6UYpxcLyXPzhKCU5HspyvayqyudYY/ekacUficb4+EN7yHA7+cobVvfbVzPHLGk83dJrZ/6sLF2Wx2k/V0fiD0cHlaBX5Hk53+FnbnE237rjon6/m19ifJBdvyxxuS4YmVqnQ+FQxrGc75gcAWm9mfG19ri29hrjWqyZdNbjMNJ+rnjbT7exqjp/0CKV06GoyM+w/z+MphGKx+x0PBX3kVojlJ49emHzpPec66Qkx2PPDByt166exd7aTk639NpNOUpzvHZDro4RZpF++2/H+PO+et595VzaekPcff/OSZnp232ugw3zinj2E9dy97UL2byigtp2P2cS7H2fyBJJgJtXVVBTlMnf/XAbr/3WVm799vO85d6XeHh3Hauq8u3GXtNpzE5fhrRvwWk0r+WxcjsdvOkSI5M3sEO51QH1zWamb6jGUulyprV30DG19Yb4ztPH7UqdVH7Gf+iahXzomgX87D3rqRlidIzFyvRN1gxpNKY5XN/F2bgmgbGY5oHtZwBoN6sgYjFNdzAyqrE6YCyq1BRlsv98FzevrOR/7lgLwMaFxnnnh+7fyad/u49f7TjHxkUl/OMNi7hpRYW91za+AzcYi/1vubSGg/Vd1HVOzsdSpNZwy6D/DLwILNNav1Zrfb/WenK9q01S1htopz9sZ0hH2kM6VtVFWYTMhitbjhkndBvNGYXleRncfe1C/nKg0Z5llshX/3KEDl+YvWb51GRQ3xWgMj+DDPNEe7gMaZbHOWEr+aO12FwlXD4rH6UUc4uzicQ0dR2T4w31u8+cYM+5Dv7rdSsHlcjkZ7opyvaw73wnD2w7Q2mu126sk+F2Dhn8P3+8hffd9zK/3H6WDl8Ifzg2KEO6vDKfirwMfvLuSweVWG1aUsoXXr+SW1bNGvK4XU4HC0qzuXF5OYvKcydNQNrYFSDD7WBpRa6dIY1vPGaV4o02Q+oPRdlX28mlcxOXLlv7SDPcjn5Z5qF4zOtMxkBoOJFojF1n28n1ujjZ3DtohNVY7Dvfwaqq/BGbmgx0y2oje/TI3jpaekJ4nA7yMl2DGh4N/Xc7WV6Zx7+/dgVfun0V2061ce9zJ8f3j0ii2nY/80tzcJiLKFeZC5dbEpRKH2vqHpTJuBBluRk8fPdVXLGwmN5QhH9/7XJef1EV3cEIa2oK+i3eThfn2n3kZbjsBUAYXYOy8bAqSwZWt7x0so2lFbl2aXp8d/XJ4F/+sJ9P/3av/fNPnj/Fpq88zVf/coQPP2As7HQN07hwonlcDj61eam973c4uV4XGW7HpM2Qnm/3E4zEqO8I2JUzW4632M8Ra6GtOxBBa8aUgf6nG5fw+dtW8O23XWRn/WcXZ/H9t1/C999+Cc9+8hoOfG4zP3/vBnIz3Nx2kbHNqTDLPahbMWAH/20902+/vhi7IZ+JWutrU3kg04lV7tHpD9nZjowEL8YLUWN9ELX72HKshSXluf26mL33qnk8daiRjz64iw5/iJWz8sn2usjxusjJcHGovou/HTZGwNZPkmAKjBEbi8uMkk+XQw3Z1GiiV/JHyxoYbc00s/Zlnm7tZXbx6MdOJMO+2k7+96lj3LZ2Fq9ZnTj4m1ucxSN763E5FD9/7wb7JD7D7Riyo/Eje+t58lATTx5q4t/+uB+lFNct6Z/t/Mj1C/n7axbYGbt4bqej3ziIodz/vsvI9Dj59G/2cqi+a8Trp0J9Z4DK/Ewq8jPYcaadPDOot2S5x1ayu+tcO5GYZv28woS/ryrMhFP9Z5AOx86QjqKx0dlWH/lZ7rS8bgY63NBNbyjKR69fxDefOsazR5vtzotj0RuMcLypx24wNhazCjK5dG4hv9t1nsIsD8U5HpRS9uPTNkK3ZyPQM4KO2y+u5sHt5/jz3nruvnbhmI8lWXyhCK29ITtwAeM9oKogk63Hmnl73GN+uqWXvbWd/POrR9/LYDQKsz389N3r7Z+11rxmdSXr5hbZ5YOd02gW6bk2HzVFWXhcDnIzXHQHIqNqUDYeGW4nFXkZdjbsTGsvP9hyku2n2rjzstlkuJ3Mys+YdJ12G7sChKNGsNTWG+JzfzrIhnlF3Li8nP/68yF+uOWU/R45Gd6v4imlJvUsUqsHQSgao6U3SFluBr946QzF2R6qi7JoNwPS8WSgX2cGmAPdtKIi4eVXLiimJMczZGfuomyzuVzv5HwsRWoltzh/hrL3IPmMkl2vy2GvTk8Ua+bescYetp9u4x0DTuYy3E7ue8963vWTl/ns7/cnvI+SHC9KQZ2ZjWrvDXG2zddv70sqxY8iAStrl/hEeyx7HybS4or+AanVMMjYr1ua8uOxBMJRPvbQbkpyvHz+1pVDXm9uSTY7z3bwH7eu4PIFxfblGW7nkONWatuN58QXXreSP+4+z2P7G+y9XxalFB7XhT3HrZKeqsJMnjjUSCymJ/x1M1YNncas1oq8DDp8Yeo6/P32flqVD/5RluzuON2OUnDJnOEzpKPtymlVCIxUsrv1WAvvue9l3nBxFV+6ffWo7juZdpw29hS++dIafruzlufGGZAerO8ipvuXR47Fa9fM4t/+eACXw2c3lXM7HSwsyxl2b7jWmtp2P5sW973mr1tWxpcfO2w8Z8ZYPpws1l7s+IBUKcXGRSX8eV89kWjMzsQ/vKcOpYzHJJmUUly/rBzo68Y9nTKkZ9t8LIqb49gdiIxrD+lo1RRl2gHpP/9+HztOt3PVohLee9U8wHjPn2wlu229YbuqwwqQ3rZhNretrWLH6Xa+/tcjLDIXfydbQAp9s0gno2NxzQnrOgJ4nA6eOtTIXVcv4GRzj/1cSUVJtMvp4HO3riQSS/z5VGQGqu0jbI8QM4MEpEkQ/yEbCA3ebzcRrBOM3+6sJRSJ2fOg4uVmuPnl+y9jT20H3YEw3YEIvcEoPcEwPcEoVy0s4at/OWyXR37/uZP85PlT7PuPmxJmupLNGrFRkd9XthgYJkOailKega5aWMKXb19lt0Mvy/WS4XakfRbpVx4/wvGmHn7+3vXDdiV8/8b5XDav2N5bZPG6HEMG/2fbfKyqymel+fXZW5ZP6LEPVFWQSSjSt7qbTvWdATbMK7KfkwODEI/Lgdup6B1lhvTl020sKc8d8iRgrAGp9ToNR4ZuCvHiiVbe97OXCUVidgOgdNtxpp3K/AyqCjLZtLiUP+6uIxSJjfl9Z6+5/31gg6jReuMl1XT4wtyyutIefwRGA65fvHSGQDiasCFda69R/RIf6F27xAhInznSxB1xzcTSqdYOSPtXb1y1qIQHXz7H3vOdXDy7EK01f9x9nkvnFlGZP/p5rheqb/F2epyQWgsVVsBdmOXhTKtvzF12x6KmKIsXT7QSCEd5+XQ7b79sDv/6mr736Lkl2Ty6b+itO6mmtabdFyIa00QSlOZ++Q2r+M7TmTy6rwG3UxlVI5NMWZ6Xw5OkE/xAR+M6ftd1+NFaE9Owbk4h7b0huwGW1Xk52QG/tTUikSKzmrBVSnYFo+iyK8YufmyAPzy4I+lEyHA7Kc318sqZdjwuhz2EfCCPy8Glc4u4bmk5t62t4m0bZnPX1Qv4+I2LWT+viFkFmfaojrNtvQQjsVF1500Gq9GOlSH1uobe15iukl2nQ3HH+tn2ibO1j9RqEPK1vxzh4T2pbWP+4olWfvz8Kd55+Ry7sdVQllXmDQpGwcxGJwj+ozFNXYd/xEYPE8k6yT/f7uehl8/x0Qd3pexvx4vFNI1dRrarIq4cvji7fwfGTLfT3is+nEg0xs4z7UO+VgH75Gu0TVD6mhol/vvbT7Xxnp++TE1hFrdfXMXRxp5J0YDrlTPtrDP30W5aXEpPMDKu8Un7ajuoyMsYtF96tLI8Lj5y/aJ+wah1TMFIjBfNWY4DJQr0FpfnUFWQaW+FmAys0Q81A07qr1xQglLY8wMP1ndxormX29YmNzs6UF+/hak5N3ug5u4gwUjMfryt94pkZkhnF2XR0BXgpZOthCIxroirfAGYV5xNhy88aYL+rkCEqLm3scMfpitg/L+3xtsUZHn47C3L2frpa9n5rzemfVEykbLcDJon6R7S40099gJdXYff7m9RVZhJQbabDl8YrXVfhjSJY3VGkpfpwulQkiEVgASkSZGb0Tc2wJekDCn0nWRsmFc07rEyswoyaeg0Nr9bb1yjnUc50RoGdH4dbl9jukp2E5ldlMWZ1l5CkRjfe/YEn/z1npQ+hvdvO0NJjpfP3Lxs3PeRMUTw32Du9akpTF1AagVl5zv8PLynjof31I2pi+1EaekNEolpKvMz+pVgFg8Ymp7lcY3q+Had66A3FLUDsUTGnCF1GiXNwUiMaEzz4PazvHy6jZPNPfzipTO8+yfbqSzI4P73b+DKBSWEIrG07yc73+GnvjPAujnGHrErFpbgcqhxddvdW9s5qHx8IqyfV0SG28GzRxIfkxXoVRf1L4W9Zkkpzx9vGXLve6rVtvvxuByUDHjOFmZ7WDkr3w5IH95dh8uhePU49uJeCJfTQY7XRYd/epyQWuWQ1eYCXqEZkI52T/h4zC7KQmv49Su1OB1q0IKXtc/Z2q/76L56fvtKbdKOZyTxW0Pae0N2hjQ/s/9jpJSyz6Umm9JcL93ByKgWIlMpFtMcb+rhkjmFZJvd6s93GM/JqsJMCrM8hKIxfKGoPaaqaJgRN8mmlKIwyzPifn0xM0hAmgROhyIvw0WXP0wgSRlS6OtQZnXXHY9Z+RmEo5qWnqA94iJdAan192eZJWOTMUOayNySbM60+TjW1E0kpglGYnz8od0p63y662wHG+YXXdDCR4Y7ccmu1f20pih1ZVNWUFbb7udQfRdaw9HG1D8nrQWaCrOpkaVoQIY0y+McsWQ3GInyr3/YT0mOl03DZLFnmf/2nLGW7EY1u86285nf7eNN33uR677+LP/yh/1UF2bxy/dfRlluBksrjT1Z6S41O2CWDVt71XO8LtbNLRwy+BtKVyDMyZbece8fHU6G28nl84t5bogg2epYObAU9tolZfSGorx8auzZ3mSobfdTXZCZcC/2VYtK2Hm2ne5AmIf31LFpcakdQKVSfqZ72uwhtcavzDY/m633imSW7Fp/668HGlhVlT8oiLPmR1qf6//3zAn+408H0rZoEp8Na/eF7dLRvEkafCZSZvY7mGz7SOs6/fhCURaX5xrVb2aGNNfrIi/DbXfVb/eFONncS7bHOWgcS6oVZ0tAKgwSkCZJQZbHHJGRvIDUKm0cqUxzONYJ8Jk2n9017lgaM6SZbid55krpUHtIw9EYvaHopAlI5xRnEYrEeMY8of7YDYvZW9vJd54+nvS/3dQV4HyHn4susBFVhtuZ8ATFCkhnp7BkNzfDTV6Gi51n2mk1P6iONKS+667V6XdxeQ45Xhe5ZpA4sGQ3yztyye43njjK4YZuvvLGVcOWSGW4nVQVZA4KeoficRrvLaFIzD6p//iNi/nS7at46p828fg/brS7by8sy8HpUByuT29Aap18lMWdCF29uJSD9V00dQ19gjew1Hi/Gdiuqi6Y+IPEKNs92dLL2QT7w2vbfRRmuQctHFyxsBiPy8HTRyZH2W5tu2/IPXgbF5YQiWm+/fRx6jsD3Jricl1LfqabTl+Y403d3P7d5yfVXOyxshYqrEW1voA0uRlSMBalBpbrgrFo4nE5OGYu6p1p7aU7EOH5BGN/Jpo1MuyluNL3+IC0rTdEl1munY6eEOPVN4u0r2zXH4oOO2YvmboCYf7vmRN86dHDgPGZNasgk/rOALXtfvs9wJoA0eELc6qll3ml2WMelzXRCrPdEpAKQALSpMnPdNNhziFNVsnuGy6u5hOvWsxSs/PreFgB6e6zHWizL0raMqTmDNK+USTOfiW7gXCU/3rkIN975gQwebrvzTXnzT2+vwGP08Hd1y7g9RdV8a2/HWeP2UAgWXaZ93/R7MRjREbLamqkdf/mOOfafDhU3/MkVaoKs9hyrO+EKR1ZvQN1neR6XXa5crmZJS3KGRCQuocv2d12spV7nzvJW9fP5rql5SP+3Z+/dz0fu3HxqI7RbZbshqMxeswB5K9eVclb189mQWlOv5MNr8vJgtJsDqchuI9nDWYvjCsVsxpFPXcs8Uny4YYulv/bX3jlTF/mcd8FNjQaySZztNGzRwcHl7Xt/kHZUTDKty+bXzyJAtLExwlwydxCMtwOfrTlFJluJzcsG/m5mQwFWUaG9P5tZ9l5toN3//TlC5pLm05n23yU53ntLTRzirJwOdSgRayJVJrrxWtWSlyxYHC1lNOhmF+SzfHmHjp8IXvP5iNJDJ72n+/k7T/axp0/3MaTh5r6vR7aevuy4e2+EF2BMB6nw/43TAV2hjRuH+mj++q5+4GdaenB8V+PHOT/PX6YLceaWVNTwPJZecwqyKCuw8/5Dr/9+W0tkLT7Qpxs6WFeSc5wd5sSRZIhFaap8w4wxVgfsv5wbNz7O0cyvzSHD1+36IJWuKw3qh1njDEMi8tzONHcYzcdSKWB4xIGNtp56WQrP9x6iq8/cRTon2FJJ2sW6b7znSwqz8HldPAft66gNMfLxx7aPWTZ8UTYdbYDt1PZY2jGy2s+R4MD5lmea/dTmZ9pjxdJlerCTHuG74LSbI6kJSDtYtmsPLvc0Wq2NTB7melxDjmHtDsQ5p9+vYfZRVn8yy2j2+M7vzRn9BnSuDmkVkCaO8yg8yUVeRxKc4a0wxfC63L0W6hbXplHaa53yH2kL59uJxSN8bMXT9uX7T3fSXXh6LPJYzW3OIvZRVkJj+lcu2/IMvbrlpRysrk3bc3hLIlmkMbzupysn1dMJKa5cXl5UrN4w8nPdNPuC/HYvgbWVOcTjsZ46w9eSvvCSbyuQHjQYl0i59p8/apJblpRwTOfvGbQvvOJpJQy5p46HVwyJ/HC5MKyHI439djd4MtyvTxxsDEpZbs/3nqK13xrK/vOd/IvtyyjJMdDR3wQ2jswQxomL9OV9kzdWCQq2bX2ZKa6/LypK8AfdtXx9svmsPc/buKPd19JlsfFrPxMWnpCnGnttTP2Vslug5k5nW+OrUunomyPvUgpZraknWUqpWqUUk8rpQ4ppQ4opT5qXr5GKfWiUmqfUupPSqm8uNvco5Q6rpQ6opS6KVnHlgpWGZI/FElaye5EyMtwke1x2pmHqxcZ3SWt+XWpNDgg7b+v8WSzcYL3yD9cxf3v28ANy9Ozoj9QZX4mHjNgW1phPJ3zM938x60rONnc269caaLtOtvO8ln5F7zoYd1+YBOpc22+IU9ok8n6AJ1dlMW6OUUcbuge1QnhRInGNIfqu1g5qy/7ZpW+Fg5oApHtHTog/fyfDlLX4ecbb16blBN+KyANRmL0mJmP4fafLq3I5XyH3963lQ7tvtCgx1ApxdWLStlyrDnhYthRc0HisX0N9gnt3toO1iSpXNc6pk2LS3nhRGu/E3etNeeHyTxeu9TIrD6d5m67iWaQDrRxoZFRuzXJs0eHU5Dl5kRzLw1dAd595Tx+9p71hCIxbv/uC/z1QEPajstS3+nnii/9jc8/cnDE69a2+/s1gHM41JDPk4m0YV4RNywvG7Iaa1GZ8bq3tj68b+O8pJXtPrTjHGuq83n2k9fyvo3zKcr29Gta1eYL4XYqMtwOo6lRIDKl9o+C8Rngcqh+JbsdZiBqvQ+nyk9eOE0kFuN9G+f1u9xKNvhC0UElu3tqjYo4q+FVOhVleewxQGJmS2baIwL8k9Z6GXAZcLdSajnwQ+AzWutVwO+BTwKYv7sDWAFsBr6rlJq8kdwI7JLdcJSsJJXsTgSlFLMKjJU0gI1m6dzx5tRmUaLmiI3K+IB0QFOjky095Ga4WDErjysXlqQ8azcUp0PZ3TaXVfaVT1vftyRpxlYkGmNvbecF7x8FI/gHBu3ZNTJBqds/arFOopdV5rKkIpe23hDNPalrs3+yuYdAONYv83zd0jJuWV056HmX6XYl3EP6lwMN/PqVWj50zcIhMxcXyloIsUp2lWLY9xvrOXl0iIzzvtrOfhmMZGj3he3RWPE2LSmlwxdmb23HoN8daeimLNdLKBrjtztrae8Nca7Nn5QOu/GuWVKKLxTlldN9pcLNPcZoj6ECvTnF2cwvzeZvY2zSNNGGmkEa7y3ra/jcrSvsIDodrL2DHpeD65eVsaamgD/9w1UsKsvhH365i1Mt6c00/2jLKXqCEX7y/OlhA7hQJEZdp9/usJtKX3j9Kr575yVD/n5hWQ5aw9OHjefkHetnk5fhmvCyXX8oyrGmHjYuKrW31Bj9NPoWwDrMBanibK/R1MgfJneSbL8ZLYdDUZrr7Veya43V6Q6mLiANRWL84qUz3LyykjnF/YPL+G021vcF5uP8ypkOAOZPkpJdrVOfWRaTT9LO6LXW9Vrrneb33cAhoApYAjxnXu0J4A3m97cBD2qtg1rrU8BxYH2yji/ZrJJdXyjxYPXJxHqzys1wsdbMOKR6H2lztzFioyJuKLvX7eyXIT3V0sv8AfviJgtrH+myyr4AxiolbE1SIHW8uQd/OMraCQhIva7BGdJAOEpjVzClDY0sVoZ0eWW+vUc6lWW7B+qMTMKKqr7/n69eVcl33nbxoOtmeZyD9pA2dwe553f7WFmVx0euX5S04xxYspvjGb70zcrgH0rwWDZ2Bbj9/57n3i0nk3Owpo4EGVIwsnVKMahEVmvNkcZurl9WzsWzC/i/Z07Yx7g6SftHLZfNL8bjdPBM3DHVjiLzeO2SMl462ZqWcUWWoWaQxsvLcPPOK+biTNCFN1UKMo3nwqbFpXaH2PK8DO59xzo8Lgef+e1eYmnKnnT6wvxy+1luXlnB/NJsPvnrPUNWF9R1+NE6tQ3gRsvqtLvlWDMVeRnkZbi5cmEJO89MbDfog/WdRGOa1XELRQWZ7n4BaVuv8fovzHbbe0jzhtlmMFmV5Xr7ley296Y+Q3q2zUd3IML1ywYvKM0q6Fvctz5PXU4HuRkuO1M+tyT9z1Wrs3db7+Sc6ypSJyUpJqXUXOAiYBuwH7jV/NWbgBrz+yrgXNzNas3LpqSCTA/RmKY7EElaU6OJYr1xzcrPJD/LTUmO1+7IlypPHDRKs+JHOHhdDoLxGdLmXhZMgj0PiVj7SOMbTOV4XXicDnvDfjgam9BSydNm5sA62bgQiTKk1ol3Kke+WBZX5KIUrJtbyJK0BKSdeFwOFpSO/NgOHPuiteYzv91LTzDCf795rR00JoMdkEaNkt2cEU7sKvMzyMtwcbh+8P68B7adJRw1KhWSqd0XpjB7cEakMNvDmuqCQQFpU3eQTn+YpRW5fPkNqynK9vB/ZmOzFUkOSLO9Li6d138kjT0KaZjM41ULjZmv6ewYO9QM0snGypa/ZnX/GajleRl89tXL2HaqjYf31KXj0Pj5S6fpDUX5yPWL+Mab19LQFeD7z55IeN1zo1gASJe5JVk4FPSGosw2P6tKcrx2melE2XOu/0gnMP7/xpfstvcar39r/qSxh3RqZUgBSnMzaO5Xsmv8G3tSmCG1qgfmJ/icit/+FL94VpTtIaaNgHoyzHktzjben+KbXYmZKekBqVIqB/gt8I9a6y7gPRjlu68AuYD1TpVoiXbQsqhS6i6l1A6l1I7m5vSWRA0nvgPsZN5DCn1zPyvNwHRRWQ7Hm1MXkGqt+cVLZ1lVlc/quD1hxigSI2PnC0Wo7wxMij0Pidy5YTb/+prl/ZpXKKUoyvbYo0u++/QJbvnfLRP2N8+YDSqsE4wLkWFmSONLpPtOsFK/irqgNIeX7rmeKxeWUJzjpSTHm9JOuwfqulhakTuqsvAsj4tQJGbvgfnVy+d46nATn9m8lEXl4++APRruASW7I+1TVUqxtDJv0GMZisR4YPtZgKR3PGzvDdl7mQbatLiUPec67PI36OuwvLg8l8XlufzpH67iA5vmc+eG2SnptL1pcSlHGrvtOcnWQs1Q41Sgb79xaxq7RxoddhPPIJ1MrlpYwhsvqebGBD0B3nJpDdWFmTyyN/UBaSAc5SfPn2bT4lKWVeaxtqaAKxaU8Nj+xPtaz9ozm9OfdRrI63LaJZ1zzc+L/Ew3Xf7whGaf953vpDzPaz//wdhv2S9D6gtRlO2h0Nw7OBX3kAKU5Xn77yE1/42pDUiN87R5CRbqvS5jxqjbqSiNOy+x3nsT3SYdrMVJyZCKpAakSik3RjB6v9b6dwBa68Na61dprS8BfglYy4219GVLAaqBQZ9CWut7tdbrtNbrSkvHP38z2eJnDU76gNQs57D+a3XkS1UTmR1n2jnS2M3fXTa73+UZbgehqHGibzU0SrQSOBksLMvlvVfNG3R5fEvzUy09nGvz0ztBH1inW30UZXsm5MPcKiuPL5GuTfMJVvxJzdKK3JRlSLXWHKjrYsWs0WXfrD2bvlCEM629fP6Rg1y5sJh3XTE3iUdpGFSyO4rGScvMxzL+RPTxAw00dwfJzXAlNSDVWtPhD9vdHgfatKSUmIatcXv1rP2uVqY8w+3knpuX8YXXr0racca7xhr/YmZJa9t9FGd7yPIM/VgX51hlaOkMSH0paahzoWqKsvjam9YkfDyVUly3tIznj7cmtVt5Ir95pZbW3hAf3LTAvuxVK8o52dybcEvL2VYfHqej3/vWZGJVe1iBaUGWm5ie2D2Pe2o7+i0qg3EuFIzE7H321oKU9dloddmdaspyvbT1hgiZi+bWfNXuFJbsnmrppSTHM+TC3KyCTCrz+y9KWe+9k+VcSjKkwpLMLrsK+BFwSGv9jbjLy8z/OoB/Ab5n/uph4A6llFcpNQ9YBGxP1vElW0F8hnSSl+xW2iW7xn+Xz8qjOxBJ2T7SX7x0htwMF68d0OnR7vwaiXLSLE2ZLKt6o1Wc05chbTNXUOs7J6Yk8mxb74TtV7JLdvtlSI2Sv9JJUPK3pCKXo43dKenEd77DT6c/POpROpl2QBrlB1tOojV89Y1rUpKZspoaBc2AdLiRL5allXn0BCOc7zAyfZFojG89dYz5Jdlcv7QsqUFUVyBCNKYT7iEFWFNdQLbHyY64JkJHGrspzfUmbbzLSBaV5VCZn2GXEu85Z4x3Go5VhprsBlHDsTKkU921S8rwh6NsP9WWsr8ZjWl+sOUka2oKuGx+kX25Nav1r+YWk1AkxiN76/i7H27j+8+dZNmsvLTuxx2OtbXD+sywymS7JqhstysQ5mRz76B93dZrvcMfIhYzFqSKsowMaXcgQjASm5oZ0lzjfMka99KXIU1dYHWiuXfYc6I3XlzFWy6t6XeZ9f9jMox8gb73SsmQimRmSK8E3g5cp5TabX69GnirUuoocBgjA/oTAK31AeAh4CDwOHC31jq1S6ITaCplSBeU5uB2Khab5YUbFxmjAIaaCTiRWnuCPLavgTdcXD1ohTzDZQVJMU4196LUFAxIsz32G611cmqV/r37J9v58dZT477v0y0+u/zqQnkTley2+aiZJCV/SytyCUZiKZntuP+82dBolAFptrcvIG3pDlFTlNmvw2Ey9euyG4iQPUzWzmLtc7ZKYX+7s5ZjTT188qYlFOd4kxqQWqW4Q5XsOh2K+aXGLGTLkYZuliS59Hk41viXrcdaaOoOcLC+iysXlAx7G6/LSY7XRZsvPQHpSDNIp5LL5hfjdTl4+kjqxug8tr+eM60+/n7T/H5NwmYVZLK6Op+Hd9fxxUcPcfmXnuLDDxidgD9+42J++I51KTvGsbJe99a2F2vRvGOCZkDuP2/sH109oMle/N/pthaksj0Uxe0jn4p7SPtmkQbxh6L29qJUNjU61TJ8QPr2y+dy97UL+11WYGdIJ8e5VIbbSbbHKRlSQdLqJLTWW0m8LxTgm0Pc5gvAF5J1TKlkdQ6EyZ8hLc/L4IXPXE+JWWZWXZjFwrIcnj3azPs2zk/q3/71K7WEojHu3DB70O/6ykijnGzpYVZ+5qTvWDxQUbaXNnPsS5sdkAaIxTRbjrWQ7XXxHgaX+o4kGIlS3+lndnH1hBynlSG1PlTB2BM1WfZDWd1hDzd0J73U6GBdJw7V9zdHkuk23kZ9oQjdwXBKG0U4HAqXQxGKxOgNjtzUCLAXng7Xd3HVwhK+8cRRLppdwOaVFZxs6cUXihIIJ6c7uDUAfaiSXTBOlKwMaTSmOdbUzZ0b5kz4sYzFpsWlPPjyOb77tLHD5IqFwwekYOyNSmWGNByNsfV4Cytn5duB/1Qo2R1JpsfJ5QuKeeZIM//+2uT/Pa0133v2BPNLsrlxecWg379qeTlf++tRjjf1cMOycu5YX8PGRaWTNjNquWV1JfmZbnsrglXmOVHjNvaaDbwGZkitxfl2X8h+TynKdvfbnz8lu+zmmQFpV8AOTiF1e0i7A2Gau4PMG+PolqJJtocUoCjHM2SG9GhjN/vPd3LzyspJfy4tLszUexeYIgqmUIYUoDS3f1nmpsWl/PzFM/hCkWH3Sl2IWEzzwLazbJhXlLD5S7+AtLl30qzojUVxjode8wTfOkms7wjQ2hsiEtPjPhmobfcT00xYhjT+sbaca/Nx8ezkzM8cq0XlOTiUEZC+elXlyDe4AAfqulhQmjPqDz9rD6k/FKU7EEl5aanH5SAUidE9yj2k2V4Xc4qzONzQzY+fP0VjV5Bvv+1ilFIUZ/ftfUxGlrd9hAwpGLPxHt5TRyAcpb4zQCAcS2uGFIwA1OlQ3L/tDDleV79u4EMpyvampKlRVyDMr7af4yfPn6KuM8CdG2bbpaXTIUMKRtnuvz98YMSM0ER4/ngr+8938eXbVyUMMt915TzK8jK4ZkmpXbY5Fbidjn7zZgviSmkvVCQa4+nDTcwuyrLHeFisEtFOX9iuxCnI8uCND0inZIbU+H/f1B2039cgdXtIT7cYPR7G+nq4dmkZZ9p8g+aWplN5bganzCaNA/1+13l+8NxJs+nZ5D+XFuOXkrEvM1GG22k3HJlqWT0wAtJQNMa2k8nbt/PcsWbOtvn4u8sSZz+8cSW7J5t7RjWCY7KxgpOGzoA9GqShy2+P1hjv/p2z5pv3nIkq2bXHvhgZ0k5/mK5AJC0jXxLJcDuZW5xtz09LpgN1XawcwzgRKyDtDUWNIe8p3g/ldhrNv3pHuYcUjPK9V860871nTnDDsnIunWvskyvMTm4zHmtRZqQMqdZwurXXbmS1uCK9AWl+pptLZhcSjmo2zCvCNYruy0VZ7n4nqhPtfIef/3rkIFd86W984dFDVBdlsaA0m/11XfYM0ukUkAL87XDyy3a/9+wJynK9vP7ixFPncrwu3ryuZkoFo4lMVIY0EI7yoft3su1UW8JGbvZ+al/YrhgoyvL0W5SaintIS3I8KGWOpTIrP7I9TnqTNHv4aGM3Rxv7GvudNDvsjnWhfmVVPl9705pJldG/dmkZe8512H0N4j13tJmL5xROihE1IrkkIE0ia+/EVCwzWD+viAy3I6n7SH+5/SwlOV5uWjG4LAr6Avlz7T56Q9FJVWIyWlZAGt8gqq4jYAek4z0ZOG3upZyoVU67gZSZIR3NrMVUW5KCTrstPUEaugKj3j8K2BUE/lCE7kAk5eVnHpeDTn+YmGbEsS+WpRV5NHQF6A1F+MzNS+zLrQxpsjJ71vD4oZoaQd8J1snmXvsEbPEITYRSYdMSo6v7laMo1wUjuG9Pwr6ovbUd/MMvd3H1V57mJy+c5rqlZTz84St56AOXc82SMg7Xd3G61Yd3kjQkmwizi7NYWpHLo/vqk/p39tV2svV4C++5ap6dzZuurEDxQvaQ9gYjvPe+l/nrwUY+d+sK3pOg07y1fanDH7LnZs4qyOxXSZI/BbvsupwOirO9NHcH7K0I1YVZSdtD+unf7uUN333Bfk881WL01ZioxobpZFU9PTbg9d3SE+RAXRebFk/eiRpi4khAmkTWG37WFAxIM9xOLp9fnNSAdP/5LjYuKrEzyQNZWbuDdUZWbEqW7FoBqdmkxelQ1Hf6abjAgPRMq49sj9O+/wvVl402AlIrwzJZ9pCCEZCeafPhS9IKNBjZUTA6TY9WVlyX3e5AJOUruR6nw85ojqZkF2BZpZFxfMulNSws68s+WieJydr72OELodTwJXrWwtPJ5h6ONHQzuygradsGxuK1q2exujqfm1YmXkAbqCjLM6GZ5qcONfLm77/Ird9+nqcPN/GeK+fy3Keu5X/fepE9amN5ZR7BSIytx1qoKszs15Bnqrt17SxeOdNuL5Ylw/eeO0Gu18XbEvQ0mG6sKq7xVul0BcL83Y+28dLJNr7+pjW8c4gxV5keJ16Xg05fmFfOtDO7KIvSXG+/bU1TMUMKRmOjpq6+kt2aosyk7SE91+anOxjh3T95mebuICebe6kqmHp9NRKZV5LNill5/HlAQLr1mDH+y2q0KaY3CUiTyCqJmQp7SBPZtLiUUy29SelsGotpmroDw85ss95oD9VbAWn6syRjNTBDurA0h/rOAI3m6JeuQGRc817PtvmYXZw9YSecHqcDpfqaGp1rM0pnJlNAurQiF63hWGPyxhEdqDMac6yoHHvJbltviFA0Nuqy2YnicfUFpKP921ctKuVdV8zln161pN/lRcnOkPrC5Ge6hy0Xy/K4qMzP4GRzL0cau+35o+k2uziLhz98FVWj3FtbmO3BH47a8xcvxNZjLbz3vh2cb/fzL7cs48V7ruOztywfdCzWQsqRxu5p0dAo3mtXG2PBHt4zaDz5hDjT2stj++p522Wzp2yANFYFme5xZ0jvf+ksu8528N07L+YNlwzfXK/ALF9/5Ww7l8wx+hJY3VVhau4hBaOxUVN30F5Yri7MSsoe0mAkSktPkBuXl9PaG+R9P9vB4YauKVk1NpTXrJ7FrrMd9mI4GOW6RdkeVo5yJriY2iQgTaJ8s1Rlqq5gbTL37TyXhCxpuy9EOKqpyBu6pCzDLJk6WN9FhttB5SQdOD6cYrNkzgpIV5gzXk80G0F+NKbHtaJ6urV3whoagTHaIsPltDOkZ9t85GW4hhy4nQ5LzK63ySzbPVDXRXVhZr+xTSPJMrOSTd1Gl8CUl+w6HXZGczRjX8DIpP7HrSsoGVDSmZdhBIvJmgnX7gsNW65rmV+azaGGbk619Ka9odF42Q2iJmAf6cF6Y6Hk0Y9u5H0b5w+ZhV9QmmOPApou+0ctNUVZrJtTyMO7kxOQ/mDLSVwOB++9cuxdz6eq/Ez3uKt0th5vZmlF7pBbbuIVZnnYd76L5u4gF8/pa5RXmO3B43TYFTpTTVmul6buAO29ITLdRsVSMBIjFNetfiI0dRnvxzcuK+ebd1zE3toOjjb2TJpZohPhFrNs94dbTvHH3ef53rMnePpIE1ctLJkUo+dE8k3Nd4EpwipJmYp7SMHo4Dq7KCspZbtWyerwGVLj6Vnb7mdeSc6UfFPKy3DhdipOmAGplcHYfa7Dvs5YTwiiMU1tm5/ZExiQgvF4B8JmhrR98ox8scwuyiLT7bTnZybDwbquMa/GWhUQDWbWO9Wr/R6Xw85ojmbsy3AcDkVhlidpM+HafaF+pXpDmV+Sw6H6LqIxnfaGRuNVOIHlz3UdAXJHsUDkcTlYWGZUkky3gBTg9RdXcaSxm3t+t3dCS/dbeoL8ekctt19cRdkUXPgcr4Is97i67AbCUV4+3c5Vo9xPnZ/ptiudLp5dYF9elO0hL9M1ZUvLy3IzaOkJ0dYbojDLbb//9k5w2W6d2eynsiCDm1ZU8M83LwNg4RRdrEtkdnEWa2oK+OkLp/nog7v58mOHicb0kM3FxPST/o0505h18pAxRVf/rIHwv91ZSzASndAmD9aKX3n+yCW7MDX3j4LxGBZmeezs2fJKIyA93+HH6VBEzdEv1WOYrlLf6ScUjTF3gtu2e+MypOfafCwqm1wfdk6HYnF5DofjOu1O5BiI7kCYUy293H7R2D4AnQ6F1+WwG1WlumTX7VR2qfVo95AOpyjbnbwMaW+YimFe85b41/vSKRqQFk1gx+LzHf5Rlwovn5XHwfquaVeyC/CWdTXUtvv53rMn2H6qjW+99eIx7fceyk+fP00oGuOuq5M7d3uyyc90c74jMObb7TjdTigS48pR7u2zFqGyPc5+FQ+FWZ6UjUlJhrI8L9GY5kRLLwVZHvv9tycYGTT+5kLUm4udlfnGe8D7Ns5jxaw8LpokY9kmyv/deTHHm3qYVZBBRX7mhHyeialjakZKU8T1S8u449KaUY0ImKw2LS7FF4rag+onymgypPFlPFO5NMU6Mc3NcPXLOlqB1FgzpPbIlwnOYGa4HQQiMbTW1Lb7J83Il3jxnXa3n2rj2q89w0snWyfkvg/VG/e7omrsJ7hZHmdcQJr6DKllYgLSiW3GE2/UGVJzv7jbqabsPimrNHkiRr/UdfhHPRfWWvSajhlSl9PBpzcv5Rfv3UB3IMLrvvM8P3n+1Lj24Vt6ghF+9uJpblpeMSX7FFyI/EwPneN4fm493oLbqVhvjosaifVaWDu7oN/50LuumMuHrlkw5r8/WZSZ89uPNXZTkOW2FyO7AxE6fCGauydmYa+u08iQziowzpeUUlyxsGTKVt8NZVZBJlcvLmVhWa4EozPQ1I2UpoArFpbw5TesTvdhXJDLFxTjdqoJL9u1Tt6tN/REpkOGFKA4x/gwLsr2UBa3Z9ZaKR5rl8PTVkA6wSfqGW4nwXCU5u4gwUhsUraTX1KRR2uv8UG/t7YDgL8caJiQ+7YbGo2jgUKWx0WjmfVPfVOjvtfJhZbsQvIC0nNtPuo7A6PaE2otQC0ozcE9RRf07AZRPUM/lqMNpIyAdHSlpK9ZU8l7rpw3rRuBXLmwhMc+upGNi0r43J8O8t77dvDiiVZ+8NzJfk1RRuPB7WfpCkT4wKaZlR2F8e8h3Xq8mYtmF456zJS1J/+SARm9a5eW8aZ1NWP++5NFqTmL1heKUpjlIcdr/Dt7ghE+8es93PzN5+xy2wtR3xEgP9M9KbqNC5EsU/OTXqRMttfFpXOLePbIxAekJTmeYU82+wWkJVN35boo2whCC7M8eF1Ou5HMInO24lhPCM609eJxOqiY4L1OXreTQCTGWXOsQvUkDEit8s0jDd2cMEfpPH24aULu+0BdFyU5nmEXSYaS5XHiN8udU92h0+Ps2381mTOkj+03WvrfvLJyxOtWFWTidTlYPIX3SOVnunGooTOkTx9pYsW//6XfjOJEfKEI7b7wqDOkZbkZ/Ntrlw85Tmu6KM7x8sN3ruNzt65g6/EW3vqDl/jCo4f49G/3jjrQD0Vi/HDLKTbMK5p25Y+jUZDlpjcUJRwdfROett4QB+q6Rr1/FPpmkV40Z3o9xvGfFflxe0i7/GG2nWqjpSfEB37+ir0VZrzqO/1UjmKrgxBT2fT+xBITYtPiUo40dlPfeeErfZbGruCw5bpg7M1zmyfbUzpDmt2XIYW+shsrUzTmgLTFR01R5rCjM8Yjw+UgEI5yzppBOgn3oFkjQA43dNnjX063+jjZfOGjYA7UdbFiVv64GmzEzxpOx9gXAJe5l/VCFWV76fCHicbGXwaZyGP7G1gxK29UzbgcDsX/vGUtH75u4YQeQyo5HYqCYWaRfuupY/hCUX645eSw91Nn7vEb7R7SmUQpxTuvmMtjH93I9/7uYj550xKeP97KU4dGt0j18J46GroCfHAKl41eCKvPxVg+g1480YrWRpZ6tFZX5zOvJNse+TJdlMYFpIVZbntBcE9tB92BCLesqmTf+U7++Xf7LqisvK4jIAGpmPYkIBUj2rSkFBj/+Jczrb08OmDgcUPn8DNILRkuJ6W53pTvy5tIVkBq7Z2zMpsLynJwqPFkSH3MmeCGRmBkSIPhqD2DdDLuQSvJ8VKS4+FIQzfHmnq4erHx3PzbBWZJg5Eoxxq7WTHOBilWKZVSox+9MlGsMR85GRPTrbIoy43W0DEBex8t9Z1+dp3t4NWrRs6OWm5eVTmlM6RgnKQmypC+cqadnWc7KMv18rtd54fda2aV/I02QzoTLSjNYfPKSu66ej4LSrP54qOHRhy9EYtpvv/sCZZW5HKN+T4y01ifSWOZRbr1eAu5XhdrqkdfEn7lwhKe/sQ1026+a4bbaQf1hVkeezHSOlf6+KsW87EbFvO7Xef50dZT4/47DV0BKuX1L6Y5CUjFiJaU51KRlzHufaRffuwwdz+wk3NtfXt7mrpHF5B63c4p29TEUmTtIc2yMqTGB0tFfgZ5Y9zDo7XmTGtvUvZ3GhnSGOfafJTleift/NylFXm8cKKVTn+Ya5eUsqgsh6eP9AWku862899PHB3TivTRhh4iMT2u/aPQlyHN8bpSPp7IKnufqCYQRWZJ+USW7T6+39jne/PKkWcWTidDlT//cMtJ8jJc/PhdlxKKxPj5S2eGvI/zEpCOmtvp4F9uWc7Jlt5hH1MwFrGONfXwwU0LpuzYkQuVN44M6fPHW7hsQfGUbtY4kayy3fzMvgzp3vOdFGS5mV+SzT9ct5CbVpTzxUcPsfVYy5jvPxCO0tYbYpZkSMU0l7R3FKVUjVLqaaXUIaXUAaXUR83L1yqlXlJK7VZK7VBKrY+7zT1KqeNKqSNKqZuSdWxibKzxL1uOtRAZw14TMDb3/+1wE1rDb3fWAsa+nZaeEOV5I+/VW1qRy+Xzi8d13JOFlSG12sBvXlnBW9fXkOt1UZDpptM/+rb3LT0hfKEocyd4BikYq72BiFGyOxkbGlmWVOTaJ+mLynK5bmkZ20+10WPOfvv1K7V886ljbD0++g//voZG48uQWt0O05EBsEp2JyogtZ6vrRMYkD62r4El5bkzrotpcbaXM62+fnv0AuEoTxxs5E3ralhZlc8Ny8r5+YuneepQI01dg0dw1JkjosrHsbd5JrpmSSkbF5XwzSePDjsD9nvPnqCqIJPXrB591n66KTAD0tE21jvb6uNsm29M+0enO6tRYWGWhyyPE6VAa7iopgClFA6H4utvXsvCshw+/Muddpf80Ro48kWI6SqZS1wR4J+01suAy4C7lVLLga8An9NarwX+zfwZ83d3ACuAzcB3lVKTM0UzA21aUkp3IMLucx1jut1ThxoJRmJU5GXw6x21xGKa5h6jPG00TXl+8b4NfOzGxeM55EnDampk7SG9bH4xX7p9NUqpMXc5PNvWC5CUkt0Mt4NgOMa5Nn+/8TSTzZK4uZSLynPYtLiUcFTz8uk2oK/E8ZtPHht1lvRAXRc5Xte4A3ErQ5rq/aMw8QGpPa5kggLSpu4AL59p4+ZVMys7CnD7xVXUdwa4Py5bt+98J5GY5jJzoe3D1y3EH47y3vt2sP6LT3HpF57kY7/abS+6nO/wU5GXIRmpUVJK8S+3LKcnGOGbTx1LeJ0dp9vYcaad92+cN6MfV6vctMM/utf68yeMRb6x7B+d7srMTrsFWW6UUvb78MVxTbJyvC5+8I51aA13/XwHvcHRL0LXm+8DlaPssi3EVJW0d2Ktdb3Weqf5fTdwCKgCNGClIfKBOvP724AHtdZBrfUp4DiwHjEpXLmwBKdj7ONf/rSnnoq8DD5z81LOd/h56WQrDZ0jzyCdTuaXZlOc7bHnA8YbqWS3N9h/EeB0iznyJQkZUq/LSU8wQn2nn5pJuH/UYnXazfW6KMv1Mtcs6baeV3UdfjwuBzvOtPPiidHNKD1Q18nyWXnjLre19pCmJUMat4d0IlhjiiYqQ/qXA41ozZj2j04XNy4v54oFxfz3k8fsAH/nGWOm80WzCwBYW1PAK/9yI7/54OX8+2uXs3FhCY/tr+eGrz/Ld54+zplW36hHvgjDkopc3rZhNj9/6QzHm7oH/f57z56gMMvNmy+duiNHJoK1+GQ1zhrJ1uMtVORlsGAKNxmcaFbJboH5WOaaAenABk5zirP51lsv4mhjN5/8zZ7Rj3ySDKmYIVKyNKiUmgtcBGwD/hH4qlLqHPA14B7zalXAubib1ZqXDbyvu8xS3x3NzRM7ikQMLT/TzUU1BWMKSLsCYZ472swtqyvZvLKC3AwXD+04Z5elzZSAtCTHyyv/eiNragoG/S4/0z1sudR//fkgr/vO83z8od10B8KcafPhUFCdhA64GW4HPcEIMT05R75YFpXlohQsLM9BKWV3OmzsCqC15ny7nzdeUk15nnfIDEm8aExzqH78DY1gcmRIRzsTcCTWSepo9pBqrfnio4fsPaKJPLavngWl2Swqm1nlumBk6/7ttcvpDoT5nyePArDzbDtzirPs8U9g/L9bN7eId185j2+8ZS1PfnwTmxaX8tW/HOGVM+2yf3QcPnbDYrI8Tr7w50P9Lj/a2M2Th5p45xVzZ/xcx8JsD2trCvjNK0b10nD8oSgvHG/hyoUlM3bPbSI1RVm4HIpS8/Wck+HCoUj4eX/14lI+c/NSHt3XwHeePj6q+7czpLKHVExzSQ9IlVI5wG+Bf9RadwF/D3xMa10DfAz4kXXVBDcf9A6ptb5Xa71Oa72utHRmdsZLl02LS9lb20lLz9AdIeNtP9lGKBrjxuXlZLid3LZ2Fo/tb+CYOXdvNHtIp7vhSna7AmH+sKuOBaXZ/GHXeW7+5haePdLErILMpMwYjG9iNBlHvlgyPU7WzSm0Sx7dTgfF2R4au4J0BSL0hqLML8nmg5sWsO1UGy+dHD5LeqqlB384Ou6GRpDmgNTMkOZOUEDqcTnI9bpG9TrfcqyFe587yX8+cjDhLMPWniAvnWzl5pWVM/YkdmlFHm+8pJoHXz6HLxRh59mOfuV8iVQXZvG9t1/Cfe9Zz5qaAjbN0C6wF6I4x8s/XLeQp48091tIvfe5k2S4Hbzj8rnpO7hJ5N1XzuVUS++wi809wQjv/ul2Ovxhbls7K4VHN/m9aV01D3/4KvLNjsX5mW6WVOQNuUD4/o3zed3aWXz9iaPsre0Y8f7rOgMUZXsmbZNBISZKUgNSpZQbIxi9X2v9O/PidwLW97+mryy3Foivn6mmr5xXTALW+Jctx0aXJd1+ug2P08Fac6XwzetqCJodJd1OZe+pnMmsgDRR+c7vXqnFH47yP2+5iF9/8HKUgj21nUkp14UBAWnR5M7I/PqDV/DpzUvtn8vyMmjuDvQbkfHW9bMpzfXyzSeHz5IeqOsCxt/QCCDTKtnNTH3JrnuC95ACrKgyOhkPV1amtearfzlChtvB+Q7/oNFOAE8cbCSmmZH7R+PdtraKYCTGg9vP0dwd5GKzXHckmxaX8se7r+T2i6uTe4DT1DuvmMuc4iz+65GDRKIx6jv9/HH3ee64dLZ8/phuXllJWa6XHz+feCxJpz/MO360jZdPt/M/b1lrj9oSBq/LyfK4z45/uWU5X3nD6iGvr5TiP1+3kqIsD1989NCIpbsNnX7JjooZIZlddhVG9vOQ1vobcb+qAzaZ318HWGeLDwN3KKW8Sql5wCJge7KOT4zdyln5FGV7ePbI6ALSbSdbWVtTYAc6q6ryWVKeS3N3kLLcjBmbMYmXn+kmGtP0hqL9Ltda84ttZ1lTnc+q6nwumVPEox/ZyAeunp+0lX2vGdi4HGrK7Vcpy/XS2BXsF5BmuJ184Or5vHiyle2n2oa87YG6LjwuBwsvoKQ0exJkSCeqZBfgltWzON7Uw5HGwfvvLH850MC+8518/taVzC/N5gdbTg46uXp0fwNzirMS7p+eSdbPKyIvw8W3zTK9i0bIkIqJ4XU5uefmZRxr6uGXL5/jR1tOEdPw3qvmpfvQJg2Py8HbL5vDlmMtg/bbtveGuPOHL7HvfCffedtF3LZ20C4qMcCamgJWjTCjNTfDzUdvWMRLJ9t4ZoTzqfrOwJT7PBZiPJKZIb0SeDtwnTniZbdS6tXA+4GvK6X2AF8E7gLQWh8AHgIOAo8Dd2uto4nvWqSDw6G4elEJzx1rGXG/SU8wwv66LjbML7IvU0rxpnXGSn+FrPgBfV0OB5btbj/VxvGmHu68bI59WW6Gm3tevYybViQn2+Q1Fw6qCjNxpniW5oUqz/PS1C9Dajy/7twwh5IcD/87zF7SA3WdLK3Ited5jkemHZCmb+zLRAbDN6+swKHgkT2Ds55g7Lv92l+PsqA0m9svruK9V81j//ku9p/vsq/T6QvzwvEWNq+smPGLT26ng2uXltHWGyLL47Qbc4nku2lFORvmFfGNvx7hl9vP8trVlZO6i3g6vG3DbDwuBz994bR9WXN3kDvufYljjT3c+/Z1bF4585qSJdNb189mXkk2X3rsENFhzqfqOvzS1EzMCMnssrtVa6201qu11mvNr0fNyy/RWq/RWm/QWr8Sd5svaK0XaK2XaK0fS9axifHbtKSUtt4Q+853Dnu9V860E41p1s8r6nf56y+qwuVQsn/UZAekvr6ANBKN8f8eP0x+ppvXrk7dfp0MM7CZzPtHh1KWm0Fzd5Bz7X48Tgcl5qidTI+Tu66ez9bjLbxyZnCWVGvNgbquCyrXhb4uu9Nh7AsYjbiuWFDCI3vrEpaU/X7XeY439fBPr1qCy+mw9zjuOtduX+eJQ41EYppXy4ksADcsKwdgdXX+jB41kmpKKf71Ncvp8IfpDUX5wKYF6T6kSac4x8tta2bx21fO0+kLU9/p5y3ff5GzbT5+8q5LuXZpWboPcdpxOx186qYlHG3s4TevnEt4nd5ghK5ARDKkYkaQT0UxJpsWl+FxOnhoR+I3UMv2U624HGpQ6/PiHC9ff/Ma7rpaTgogcYb0f586xs6zHXz+thV25i0VrNLqyb5/NJHyPC8xDXtrO6gsyOg3vuXvLptDUbaHbz41uKthXWeADl+Y5RfQ0Aj6SnbTOfZlIkt2AV6zupLTrT4O1fcv4wtGovz3E0dZVZXPzSuNbH1VQSYlOR72nOtbqHpsXz1VBZmsHqF8baa4ZkkpWR4nl8+XGY6ptrIqnw9ds4A7N8xm2QwvHx/Ku66ciz8c5b+fPMqbv/8izd1Bfv7e9VwhM0eTZvPKCi6eXcA3njiKLzR4Nml9p3TYFTOHBKRiTIqyPdx+cRW/fqV22C6c2062sbIqP2Fb/dvWVtmNjma6vAEB6baTrXz76eO84eLqlO/XsQLSZIyUSbYyc4TQ3tpOZg1YTc7yuHj/xvk8d7SZXWfb+/1uv5npv9AMqVXmPK8k9fP57AzpBGdnreYlLw7oUvzg9nOc7/DziZuW2KW4SinWVBewx+wa2R0Is+VYCzdLua4tN8PNkx/fxAevmZ/uQ5mRPnnTUr7w+lXpPoxJa8WsfNbPK+KnL5ymyx/h/vdvYN3copFvKMZNKcU/v3oZjV1Bfrx1cFMpaz6sBKRiJpCAVIzZ+zbOJxSJ8bO4/SbxAuEoe2o72DBPPsxGYmVIu/xhOn1hPvar3cwuyuJzt61I+bFkuI23g9lTcH+VNZzcF4omnNn49svnUJDl7reXNByN8fud53EoWFZxYQHpnOJs9v77q1hZlfpsoNWMaqLGvlhmFWQyuyiLbXEBqS8U4Vt/O876eUVcvah/5mR1dQEnmnvoDoT52+EmQtHYjO+uO9Csgky8LhnfICanj9+4mDXV+Tx412Wsri5I9+HMCOvmFnHTinK+9+zJQYv8VoZU5hCLmUACUjFmC8tyuHF5Ofe9eIbe4OAyk8f21xOOain1GQVrdlmnP8xnfreXpu4g//vWiyZ0P+BoLavM4/L5xVNyIaE8r28FuSpBA4gcr5ElffpIM3trO+j0hXnnj7fz+IEGPnbD4gkpjZ7oktnRunxBMR+9flHCQewXasO8IrafbrObmP30hdO09AT5VFx21LKmJh+tYd/5Th7dV095npeLaqSbrBBTxWXzi/njh6+SsuYU+9TmpfjD0UHN9+o7AyjV//NNiOlKAlIxLh/cNJ9Of3jQXtJwNMY3nzzGsso8NkpAOqIcjwuHgge2n+Wx/Q184qYlaVuZLsnx8su7LrPLX6eSkpy+JllDrSa/4/I55Ge6+a8/H+L1//c8L59u4+tvWsM/XL8oVYeZFFkeFx+7cfEFdQkeymXzi+nwhTnS2E2nL8z3njnBdUvLEpbyWc/bl0608syRZm5eWdlvL68QQojBFpTm8Nb1NTyw7Swnm3vsy+s7ApTkeO1tGUJMZ/IsF+NyyZwiLplTyA+3nCISjdmX/25nLadbffzTjYvlZHQUHA5FXqabUy29XLWwhLs2yv6y8fC4HBSbg+6HCkhzM9y896p5bD/VRltviF+8dwNvuKQ6lYc55Vhjm7adbOXeLSfoCkT4p1ctTnjdomwPs4uy+MkLpwlGYmxeKeW6QggxGh+9fjFel4Ov/uWIfVldp59Zsn9UzBASkIpx+8DV8znf4efP+4xZhbGY5jtPn2BNdT7XL5M28aNVmOWhKNvDN968RoL4C1Bq7iMdbr/Ne66ax93XLuAPH7qSDfOLU3VoU1Z1YRbVhZk8uq+BH289zWvXzGLFMB2J19QU0B2IUJLj4VJpiCKEEKNSmuvlA5sW8Nj+BntEWX1nQGa2ixlDAlIxbjcsK2d+aTb3PncSrTXPn2jhbJuP91w1TzprjsEXXreSn71n/ZQslZ1MrH02ww0Rz/G6+ORNS5mbhm64U9WGecVsP91GKBrj4zcmzo5a1pgjXm5aUYFTFleEEGLU3rdxHqW5Xr746GG01tR3+GUGqZgxJCAV4+ZwKO7aOJ8DdV08f7yVB7adpTDLLaV6Y3TFwpK0dGedbqoLMynL9SYcNSTG7zKzbPfN66pHHGtz+YJinA7F6y9K7cgiIYSY6rI8Lj5+42JeOdPOr1+ppTcUHXaBVYjpRGmt030M47Zu3Tq9Y8eOdB/GjBYIR9n4laeZlZ/Bgbou3n3lXD57y/J0H5aYgVp6grT2hFhSkZvuQ5lWOn1hvvTYIT7+qsWU5Y58ctQTjKSlS7QQQkx1kWiMzd/cQmNXgO5AhG+99SJeu2ZWug9LDCYlQBNMMqTigmS4nbz7yrnsqe0kEtO8df3sdB+SmKFKcrwSjCZBfpabL79h9aiCUUCCUSGEGCeX08E9Ny+lO2CM1JMMqZgpJCAVF+zODXPI8bq4fH4x80tz0n04QgghhBBT0nVLy+x54LKHVMwUspQtLlh+pptffeAyCrM86T4UIYQQQogpSynFl9+wmod311EpXXbFDJG0DKlSqkYp9bRS6pBS6oBS6qPm5b9SSu02v04rpXbH3eYepdRxpdQRpdRNyTo2MfFWzMofdtyGEEIIIYQY2bySbD56wyKZWCBmjGRmSCPAP2mtdyqlcoFXlFJPaK3fYl1BKfV1oNP8fjlwB7ACmAU8qZRarLWOJvEYhRBCCCGEEEKkSdIypFrreq31TvP7buAQYM8CUMayz5uBX5oX3QY8qLUOaq1PAceB9ck6PiGEEEIIIYQQ6ZWSpkZKqbnARcC2uIs3Ao1a62Pmz1XAubjf1xIXwMbd111KqR1KqR3Nzc1JOmIhhBBCCCGEEMmW9IBUKZUD/Bb4R611V9yv3kpfdhQSz/QZNCRVa32v1nqd1npdaWnpxB6sEEIIIYQQQoiUSWqXXaWUGyMYvV9r/bu4y13A7cAlcVevBWrifq4G6pJ5fEIIIYQQQggh0ieZXXYV8CPgkNb6GwN+fQNwWGtdG3fZw8AdSimvUmoesAjYnqzjE0IIIYQQQgiRXsnMkF4JvB3YFzfa5Z+11o9idNONL9dFa31AKfUQcBCjQ+/d0mFXCCGEEEIIIaYvpfWgbZpTxrp16/SOHTvSfRhCCCGEEEKImUEGxE6wlHTZFUIIIYQQQgghBpKAVAghhBBCCCFEWkhAKoQQQgghhBAiLSQgFUIIIYQQQgiRFhKQCiGEEEIIIYRICwlIhRBCCCGEEEKkhQSkQgghhBBCCCHSQgJSIYQQQgghhBBpIQGpEEIIIYQQQoi0UFrrdB/DuCmlmoEzE3BXJUDLBNyPkMdyosnjObHk8Zw48lhOLHk8J5Y8nhNHHsuJJY/nxErH49mitd6c4r85rU3pgHSiKKV2aK3Xpfs4pgN5LCeWPJ4TSx7PiSOP5cSSx3NiyeM5ceSxnFjyeE4seTynBynZFUIIIYQQQgiRFhKQCiGEEEIIIYRICwlIDfem+wCmEXksJ5Y8nhNLHs+JI4/lxJLHc2LJ4zlx5LGcWPJ4Tix5PKcB2UMqhBBCCCGEECItJEMqhBBCCCGEECItJCAVQgghhBBCCJEWEpAKIYQQQgghhEgLCUiFEEIIIYQQQqSFBKRCCCGEEEIIIdJCAlIhhBBCCCGEEGkhAakQQgghhBBCiLSQgFQIIYQQQgghRFpIQCqEEEIIIYQQIi0kIBVCCDHlKKV+qJRaPo7bFSilPjRBx3C1UmqnUiqilHrjRNynEEIIMdNIQCqEEGLK0Vq/T2t9cBw3LQAmJCAFzgLvAh6YoPsTQgghZhwJSIUQQkxKSqm5SqnDSqn7lFJ7lVK/UUplmb97Rim1Tin190qpr8Td5l1KqW+Z339cKbXf/PpH8ypfBhYopXYrpb56IcentT6ttd4LxC7kfoQQQoiZTAJSIYQQk9kS4F6t9Wqgi8HZzd8At8f9/BbgV0qpS4B3AxuAy4D3K6UuAj4DnNBar9Vaf3LgH1NKbTGD1YFfNyTh3yaEEELMeK50H4AQQggxjHNa6+fN738BfAT4mvVLrXWzUuqkUuoy4BhGAPu8eb3fa617AZRSvwM2Ag8P98e01hsn/p8ghBBCiKFIQCqEEGIy0yP8DPAr4M3AYYwgVCul1Hj+mFJqC5Cb4Fef0Fo/OZ77FEIIIcTQJCAVQggxmc1WSl2utX4ReCuwNcF1fgd8FjgDfNq87Dngp0qpLwMKeD3wdqCbxAEnIBlSIYQQItVkD6kQQojJ7BDwTqXUXqAI+L+BV9BatwMHgTla6+3mZTuBnwLbgW3AD7XWu7TWrcDzZqOjC2pqpJS6VClVC7wJ+L5S6sCF3J8QQggxEymtE1U/CSGEEOmllJoLPKK1XpnuYxFCCCFEckiGVAghhBBCCCFEWkiGVAghhBBCCCFEWkiGVAghhBBCCCFEWkhAKoQQQgghhBAiLSQgFUIIIYQQQgiRFlN6DunmzZv1448/nu7DEEIIIYQQQswMKt0HMN0kLUOqlMpQSm1XSu1RSh1QSn1uwO8/oZTSSqmSuMvuUUodV0odUUrdNNLfaGlpScahCyGEEEIIIYRIgWRmSIPAdVrrHqWUG9iqlHpMa/2SUqoGuBE4a11ZKbUcuANYAcwCnlRKLdZaR5N4jEIIIYQQQggh0iRpGVJt6DF/dJtf1oyZ/wY+FfczwG3Ag1rroNb6FHAcWJ+s4xNCCCGEEEIIkV5JbWqklHIqpXYDTcATWuttSqlbgfNa6z0Drl4FnIv7uda8bOB93qWU2qGU2tHc3JysQxdCCCGEEEIIkWRJDUi11lGt9VqgGlivlFoNfBb4twRXT7RBWA+6QOt7tdbrtNbrSktLJ/R4hRBCCCGEEEKkTkrGvmitO4BnMMpy5wF7lFKnMQLVnUqpCoyMaE3czaqBulQcnxBCCCGEmNl6gxFisUG5ECFEkiWzy26pUqrA/D4TuAHYpbUu01rP1VrPxQhCL9ZaNwAPA3copbxKqXnAImB7so5PCCGEEEIIgEg0xlX/72/85pXadB+KEDNOMrvsVgL3KaWcGIHvQ1rrR4a6stb6gFLqIeAgEAHulg67QgghhBAi2YKRGO2+MHWd/nQfihAzTtICUq31XuCiEa4zd8DPXwC+kKxjEkIIIYQQYqBwNAZAJColu0KkWkr2kAohhBBCCDFZhcyANByLpflIhJh5JCAVQgghhBAzmpUZlQypEKknAakQQgghhJjR+kp2JUMqRKpJQCqEEEIIIWa0sF2yKxlSIVJNAlIhhBBCCDGjhSJWya5kSIVINQlIhRBCCCHEjBYxmxmFZQ+pECknAakQQgghhJjR7JJdyZAKkXISkAohhBBCiBmtr2RXMqRCpJoEpEIIIYQQYkazu+zKHFIhUk4CUiGEEEIIMaP1lexKhlSIVJOAVAghhBBCzGhWICoZUiFSTwJSIYQQQggxo0mGVIj0kYBUCCGEEELMaPYeUumyK0TKJS0gVUplKKW2K6X2KKUOKKU+Z17+n0qpvUqp3UqpvyqlZsXd5h6l1HGl1BGl1E3JOjYhhBBCCCEsfU2NJEMqRKolM0MaBK7TWq8B1gKblVKXAV/VWq/WWq8FHgH+DUAptRy4A1gBbAa+q5RyJvH4hBBCCCGEsEt1QxHJkAqRakkLSLWhx/zRbX5prXVX3NWyAWsp6jbgQa11UGt9CjgOrE/W8QkhhBBCCAGSIRUinZK6h1Qp5VRK7QaagCe01tvMy7+glDoH3ImZIQWqgHNxN681Lxt4n3cppXYopXY0Nzcn8/CFEEIIIcQMIHtIhUifpAakWuuoWZpbDaxXSq00L/+s1roGuB/4sHl1leguEtznvVrrdVrrdaWlpUk6ciGEEEIIMVNYJbvSZVeI1EtJl12tdQfwDMbe0HgPAG8wv68FauJ+Vw3UJfvYhBBCCCHEzGbtHZU5pEKkXjK77JYqpQrM7zOBG4DDSqlFcVe7FThsfv8wcIdSyquUmgcsArYn6/iEEEIIIYSAvkA0IhlSIVLOlcT7rgTuMzvlOoCHtNaPKKV+q5RaAsSAM8AHAbTWB5RSDwEHgQhwt9Y6msTjE0IIIYQQIq5kVzKkQqRa0gJSrfVe4KIEl78hwdWt330B+EKyjkkIIYQQQoiB+kp2JUMqRKqlZA+pEEIIIYQQk5WVGZUMqRCpJwGpEEIIIYSY0SJxXXa1liypEKkkAakQQgghhJjR4jOjUSnbFSKlJCAVQgghhBAzWiguIJV9pEKklgSkQgghhBBiRovPkMo+UiFSSwJSIYQQQggxo4Xj5o/KLFIhUksCUiGEEEIIMaP1y5DGJEMqRCpJQCqEEEIIIWa0+IBUMqRCpJYEpEIIIYQQYkaLL9mVPaRCpJYEpEIIIYQQYkbr39RIMqRCpJIEpEIIIYQQYkbr19RI9pAKkVISkAohhBBCiBktHI3hcRqnxbKHVIjUkoBUCCGEEELMaOFojEyP0/5eCJE6SQtIlVIZSqntSqk9SqkDSqnPmZd/VSl1WCm1Vyn1e6VUQdxt7lFKHVdKHVFK3ZSsYxNCCCGEEMISjsTIMgPSSEwypEKkUjIzpEHgOq31GmAtsFkpdRnwBLBSa70aOArcA6CUWg7cAawANgPfVUo5k3h8QgghhBBCEIpqyZAKkSZJC0i1ocf80W1+aa31X7XWEfPyl4Bq8/vbgAe11kGt9SngOLA+WccnhBBCCCEEGI2M7Ayp7CEVIqWSuodUKeVUSu0GmoAntNbbBlzlPcBj5vdVwLm439Walw28z7uUUjuUUjuam5uTcNRCCCGEEGImCUdiZLqtkl3JkAqRSkkNSLXWUa31Wows6Hql1Errd0qpzwIR4H7rokR3keA+79Var9NarystLU3CUQshhBBCiJkkHNVkelwAhCKSIRUilVLSZVdr3QE8g7E3FKXUO4HXAHdqra1XfS1QE3ezaqAuFccnhBBCCCFmJq01oWiMLMmQCpEWyeyyW2p10FVKZQI3AIeVUpuBTwO3aq19cTd5GLhDKeVVSs0DFgHbk3V8QgghhBBCRM2uurKHVIj0cCXxviuB+8xOuQ7gIa31I0qp44AXeEIpBfCS1vqDWusDSqmHgIMYpbx3a62jSTw+IYQQ/5+9uw5v87waP/69hZZlxiS2w5w01DQptyt3W9dtHXTMHfPebR1v72/M8G57O3hHHXTYriszQxpmju3Yjhll8f374wFLtkyJZBnO57py1ZYl5YkqP3rOfc59jhBCzHARMwCVLrtCZEfGAlKt9U5gfYrbF4/wmK8CX83UMQkhhBBCCJEobAagModUiOyYkD2kYuy01rIyJ8QM1BkIE47K774QQkw067rLamoUleswISaUBKSTzB07Gtj8tQcJRaVaWYiZ5MU/fJxbHjuS7cMQQogZJzIoQxqRPaRCTCgJSCeZ460B2vvCdAYi2T4UIcQE6Q/HaOgKUtfen+1DEUKIGcdqYiRzSIXIDglIJ5lAJApAV78EpELMFG19IQB6QvJ7L4QQEy1sl+xKhlSIbJCAdJLpDxuluhKQCjFztPeFAegJRrN8JEIIMfMMLdmVDKkQE0kC0knGDkilZFeIGaOt1whIu2UhSgghJlwkamREc1xOHErmkILR2Km5J5jtwxAzhASkk0wgIhlSIWaa1l6zZFcypEIIMeEi5p5Rl1Phcjrs72eyf2w7yaXffoRAWD6XROZJQDrJBKVkV4gZp80s2e2WgFQIISZcxBy55XE6cDuUZEiBpq4ggXDMruARIpMkIJ1kAmZA2h2UgFSImaLNzpDK770QQkw0q4mR2+XA5XTIHFKgXyr2xASSgHSSkZJdMZ0daelFa1l5HszKkIaicZlBLIQQE8xqYuR2OnA7FZG4fE5ZPU2kt4GYCBKQTjJSsiumq6MtvVz+3Ud56khbtg9l0kksiZJ9pEIIy466Th7cdyrbhzHtWWNfXA6FyyEZUoCgmSDplOtRMQEkIJ1krDmksiIlppumbqNbX217IMtHMvlYc0hBAlIhxICfP3qEL96xJ9uHMe1Ze0Y9Lgdul5I5pEjJrphYEpBOMjKHVExl/97RwBt/+WzKn/WagZa1X1IMaOsNU5TrBmQfqRBiQFd/xJ5TLDInqWTX4ZA5pAz0NOmUMYRiAmQsIFVK5SilnlNK7VBK7VFKfdm8/dXm93Gl1MZBj7lZKXVYKXVAKXV1po5tMpOAVExlL5zo4InDrXapT6LekBGQtkrHviRaa9p6wywo8wOSIRVCDOgJRgmEYynPqSJ9wnZAqnA5pcsuDJTsyvWomAiZzJCGgMu01muBdcA1Sqlzgd3AK4HHEu+slFoJ3AisAq4BfqqUcmbw+CYdrfWYmhr1haIcaemdqMOa0iKxOF/5914Z7jxBrFLzVCv6VkDaJqv9SXpCUcKxOAtKrYBUPvzF1HX79pMclc+ntLHOB5IlHbtfPHaUL42zzDkxQ+pyOIjKHNKEBIm890TmZSwg1QbrU8lt/tFa631a6wMpHnI98GetdUhrfQw4DGzK1PFNRqFoHKsBaXf/8FmSHz90mOt/8qR0Kx2Dg6d6+PWTx3hwX3O2D2Vaicc19+89RXxQJ0Jrjmaqi6ceKdlNqd3MGM83M6Qj/e4LMZnF45qP37aD3z19ItuHMm30jHBOFandv+8Uf36+dlyNiayMqN1lVzKksod0ilJKjWtFUCl1qVLqzkwdz1hldA+pUsqplNoONAP3a61Tby4zVAF1Cd/Xm7fNGNZqVFmeh/5IjHA09cn0+ePt9Iaidn2/GF6XufehuVuCoHR69FAL7/rdFp4+mtwxd6TVfCtDKhdWyayGRvNKcwGZQSymrs7+CNG4lgvYNNFa2+eDjoCcN8eqtTdEMBJnf1PPkJ9prTnZ2T/k9khSya5kSGEgIE21h7QnGOHcrz3I09I1X6RJRgNSrXVMa70OqAY2KaVWj3B3leophtxJqZuUUluUUltaWlrSdKSTg1WuW1mQA6RelQpH4+w62QUMXOCL4Vntylt6pWQ3nfY2dANDO+aOlCG1mhrJHtJk1usxv1T2kIqprdWsfuiU4CktQtG4namThbyxa+0x3ofbajuG/Oyh/c1c/K2HaepKviYIJ5XsSoYURu5pUt/RT1N3kL2N3RN9WGKMzMznI0qpvyml9iulblVKKfNn15i3PYGxjdJ6jF8p9Wul1PNKqW1KqevN23+klPqC+fXVSqnHlFJpjSEnpMuu1roTeARjb+hw6oGahO+rgYYUz3WL1nqj1npjeXl5Og8z66xf/tmFwwek+5u67cyp7DUbXadkSDNin/kh1DBopXlsGdLQkFLfmcyaQVpR4MXvcUpAKia1/nCMWx47krKCxwoEZG5heiRWS0hAOjahaMxeGN1W2znk5yfaAsTimvqO5MXUSHSgZNfjkjmkMHLJrnVtJdUQk9564CPASmAhcIFSKgf4BXAdcBEwK+H+nwUe0lqfA7wI+LZSyg98GnitUupFwI+At2mt0/pLkskuu+VKqSLzax9wBbB/hIfcAdyolPIqpRYAS4DnMnV8k5EVkM4aISBNPMF2y4XrqDrNzfjNPcMHpFprnj7SJkHSOFilUCc7BgekI+0hNd7PcS0XrImsPbUlfg8FPrcsNIlJ4/dPH+d4a1/SbY8ebOFrd+3nof2nhty/1fy975IxEWmRuDjVIQHpmFgLfErBtrrOIT+3Sp9bB/UyiMTiOBQ4HQqXQxGV64GBDGmK32erCqJbPssnu+e01vVm8LgdmA8sB45prQ9poxnNHxLufxXwaXO75SNADjBXax0A3gXcD/xEa30k3QeayQzpbOBhpdRO4HmMPaR3KqVeoZSqB84D/qOUuhdAa70HuA3YC9wDvF9rPaM2SVqrUbPMkt1Uv+jbE06wkkkZnXUibRkhIN1yooPX/eIZnjzSOlGHNaUFIzG7i2biXhyt9UCGNEXJXuL7VRobDWjrC5PvdeF1OcnPccnvtZgU9jd18/nb9/DrJ48l3W5dyD95eOjeMcmQplfiNYB0Jx8b6/25vqaIY619QwL5gYA0+fZIPI7baVwSu5yOYXt4zBTxuCYUjeN0KHpC0SEZY+t3XDKkk17ixVYMcJlfD7fiooAbtNbrzD9ztdb7zJ+dBbQBczJxoJnssrtTa71ea71Ga71aa/0V8/Z/aq2rtdZerXWl1vrqhMd8VWu9SGu9TGt9d6aObbIKhI0LUWsPaarmJtvrOplvNj+RTMroOhMC0uG6Eu8x9+QOLj8VqR1u7iWuwe9x0tA18Jr1hWNYi8rtKfaJ9oai5HqMSU6yj3RAc0+Q8gIvAPk5bmlqJCaFf20zdszsqO9Kut3KQKVawEvcQyoVJ2cuKUMq+3LHxHoPXrnSqELcPihL2tEXSbqfJRLVeMyA1O2UDGkwaiRIyvOMz6bBFXnW+1EC0ilpP7BAKbXI/P51CT+7F/hgwl7T9eZ/5wEfxygBvlYptTndBzXmgNSsIRYZNFrJbkdfmGOtfVy81Ng7K5mU0Vklu+FYfNgT58FmI9s3UhZVDLCaGFy8tJzGziAx84M7cYEkVYa0NxRlbomxmCL7oQY0d4eoyLcCUsmQnqloLM5duxrt96UYv3hc8+8dRkC6r6GbUHSgWMm6kD/a0kdjV/IinhWsxjX0huV9fKasc0Ghzy3nTNNo4+5ae4zX6bLlFTgdiq2DGhtZr2Pb4AxpLI7bZWZIHbKHdLTrUdlDOnVprYPATRhVqk8AiXO6/htjTOdOpdRu4L/N4PRXwCe01g3AO4BfmntR02bUgFQpdb5Sai+wz/x+rVLqp+k8CGEYXLI7uG5/e30nABctsQJSORGMJrFd+XD7SA+a+yElIB2b/Y095LgdnLeolGhc26+bNT/ToYbvsmt1krVGnQjjfVmRb/zO5+fIHtIzdduWet5361aeHTSS6GhLr12FIkb2Qm0HJzv7uWplJeFYnP2NA+Mz2vpCeMwL98Flu4lZJ9lHOkBrzeHmcY0GBAY+4+eX5kpAilFFtulrD3L79pPD3qfFfA/OLcll+az8IY2NRtpD6nIYwx5cMofUHitoNdkc3Dm7UzKkk5bWOs/87yNa65cm3P4BrfVvzK/v0Vov11pfqLX+tHU/rXW/1vrdWuuzzOrWl2rDFVrrO8z7vGD+PK3jK8aSIf0+cDVG3TBa6x3Axek8CGGwTgCFPjc+t3PIL/r22k6UgnMXlqCUZEjHoqs/QqHPDaTutKu15uApMyCVfY1jsr+pm2WV+dQUG9lOax+pdfFUVexL2YCjJxSlpsSHUlO7ZPe+PU38/unjPHawhRNtfWe0kq61prknaGdICyRDeka01vz2qeNA8v7mYCTGS370BD968HCWjmxquWtXIzluB/919TIAdpiLoWD87q6rLqLE7+Gpw8llu629IZQ5wC3V7MKZ6onDrVzxvUc5kGIu5kisc8HcUj/tffJ6nuzop6UnxM8fPTpsprS1N4Tf48TncbJ+bhHb6zqTqiWsgHRohlTbe0jdDplDGoyMUrEnGVKRZmMq2dVa1w26aUY1G5ooVomEz+Ok0Oce8ou+ra6TZZX55Oe4yfPKhetYdAYiLK3MA4y9eoM194TsvRGSIR2d1pp9jd0sn1VAVbEPSAxIjddxfqmfjkF7yELRGOFonKJcDyW5nind1Ohjt+3g87fv4c2/fo5Lvv0Ia798H3WD5rGOVU8oSjASpzx/YA9pTzA6almaSO3ZY+0cMBeYEisi9jR00R+J8cTh6TW7OlNq2wIsLMtjcUUeZXnepH14bb0hyvO9nLuwhGePtSc9rrU3TLV5XrC2Swg4ZS6G7kwI7MeiOxhBKagu9tERCM/484L1O72vsZutKUa6gPEeLDPPp+triukNRTliNuHTWg+/hzQWtzP/bpciOsMzpEMq9gZdj3ZJQCrSbCwBaZ1S6nxAK6U8SqlPYJbvivSyTgA+t5PSPE/SCVNrzY66TtbVFAFQIM1PxqSzP8ySynwgdcmutWJdnu+VgHQMWnpCdAQirJidb5fyWM2grPfjvNJc4jr5g6ovZLy387wuSvM8Q1anp4p4XNMbivLW8+fzl5vO5QMvWkxfOEZdx+kFpNZ7rqJgYA9pOBYnNKjD4/17T/HLx4+e2cHPAL996jhFuW7yc1xJg++tsr09Dd1yATUGp3qCVBR4UUqxrqaQHYkBaV+Y0jwP62uKOdnZb39Oaa1p7Q2xuNxYAJQM6YA+cwbz6WRI870uSv0eYnFtb4uYqaxFZYeCW585kfI+rT0hysxGPOvnFgGwzdxHGgjHCMfiKDW0IioSi+N2miW7DgcR2UMKjJQhNftzRON2NlWIMzGWgPQ9wPuBKqAeWGd+L9IsEI7hcTpwOR3MLvTR0DlwQXWstY+u/ogdkErzk9EFIzGCkThVRT58bmfKgNMq171gUakEpGOwz7ygWj67gPwcNwU5roSAdCBDCsljCqxy3jyvi1K/d8ruIe0z9yBWFfnYvLCUq1ZVAgMf3uNllZFbe0gLcoyO7ImLTbtPdvGBP27lW/ceSGouI5I1dvVz395TvPacGqqKfDR1JwSkdZ04FGgNzw3K6omhEhttra0u4khLH93BCJFYnM5AhFK/l7XmZ5GV9esNRQlF4yyyAlIJ/G3WecPK3qey+2QXr//FM3bwCsZ5ID/HTWmeB0jdLG4msc6XL19XxZ07G1Puq23tDVFmvl4LyvwU+tz2gpR1/5riXHqC0aTzqbGHdOZ12W3s6qe5e2j12Gg9TToCEcwttzKLVKTFqAGp1rpVa/0Gc0RLhdb6jVrroQPIxBkLRmLkuI3/JXOKcpJGalgn1PVziwErIJWTwEisFb2iXDcVBd6UGdKDp3oo9XtYPruAvnAs6WJgJugKRMYV5OwzO+wun2VknauKcznZkbyH1OqkmzimwFo8yctxUZLnmbIz9ax93rleY3yNNcYmcLoBqbniX5FQsgsDr1dtW4D33bqVWFwTjsbZ29B9+gc/zT11uI1YXPPK9dVUFOQkXWRtr+3ksuWVeF0OnjkqH18jicWNTKe1SGIFnrvru+wL+tI8D6urCnAo2F5njIWx9oUvqjACUrlIHWB9ruwfIUN6165GnjrSxvPHBxZMeoJR8nNcFOeaAekUPW+mS3NPCJ/bybsvWUQ4Fudf24Y2NzICUuN8qpRi/dwiu9OulbVfYr5HEyt1wjE90GXXOXMypB/7yw4++fedQ263sp4FPje5HmfSApPWmq7+sL1tR6pORDqMpcvu/ymlfj34z0Qc3FR06FTPaQeKgXCUXI+RIZlT5KMnGLWfa3tdJ36Pk8XmidTaayaGZ334FPk8VOR7U64CHjzVy5LKPHvW1uB9JdPdy3/6JN+7/+CY77+/sZvZhTkUmRdIVUU59h7S7v4obqdiTpHxIZX4Yd9rXpDle12U+aduya7178jzGr+nOW4jID3dDKldsmt32TUzpP0Rfvn4Ua76waN09IX5yevXAwy7b0pAXUcApYyS8VkFXjtD2tIT4mRnP5sXlLBhbrEEpKNo6wsR1wNl5GuqCwEjy2ydH8vyvOR6XCytzLfLea194XPMipTBXTlnMmvLQktPaNj987vMedgvnBgYU9LdH6Egx02p3/h/IQFpiIoCL8tm5TOvNHdItUMkFqcjELEDUjD2kR5q7qU7GLEzzIsrhwak0Vgcj1my63YYXXZnwp7dUz1BDp0a2gHaWmT1uYf2NOkLx4jENPNKjGooCUhFOoylZPdO4D/mnweBAmD8/ctnAK01N/zsKb54x57TenwgHLMzLtb+vEZzH9T2uk7WVBfhNGskpGR3dEkZ0vycISW5WmsOnephWWW+3VRmuNEw01E4GudYax+7T3aNfmfT/qYeOzsKRulqQ0KX3fwcNyV+I1hNzJD2JmRIS/O8dPVHCEen3gp0wLyw9JsLR9YCUv9p7qFp7jFGaBT4jOcpMDtC/3PbSf7ff/ZxwaIy7vvYxVyzejZVRT57L5QYqq69n8r8HHLcTmYVGL/v0Vjcbsizbm4R5y4sZW9jt4wkGcFAGblxTizK9TCrIIdjrX32BbxVErm2uogd9Z32/lHrZ0W5btlDmiCx8ibVPlKttX0e3nJ84HfczpD6jfNCqu7lM0lzd5BKc/Fuw9xiXqjtSAoarYDdamoEsGFeEVrDzrou+/VbWmF8hiUuQBt7SAcypMCMmGXcE4zS0NU/pFLK7mliNtlM/H22Xsd5pUY1lASkk4tSKqaU2q6U2qGU2mr2AbJ+do9SqlMpdeegxyxQSj2rlDqklPqLUsoz0cc9lpLdvyf8uRV4DbA684c29XQGInQHo/xnZ+NpXfAYJbtGQFplZpkaOvsJRmLsa+y2N+iDlOyOhbVCX+hzU1lglEAnbr4/2dlPXzjGkoSAdLruIw1GYvzowUNJ70urXPR469ga8oSjcQ4397J8doF925wiH91mJt+6eLIC0sTV/MTMorUfqmMKZlCsf0faSna7jZEvSg0sNAH8Z2cjeV4XP3/T2cwuNM4F6+YWDZmpN9i+xu4ZsaqfSl17gJoS47WqKMghro0y0m21HTgditVzCjl3YYmxj/R4cmaluSfI8da+bBz2pGOdA8vzB2aeVxf7qO8I2Hu/S80M1NqaIjoDEWrbA7SYwWp5nte4gB3mIlVrzbfu2c+3793PE4daz2hs0lTRF45SlGsElanKdhu6gnQEIuR7XWyv67Rfk55QhAKfm7I8Lw4F9QmjjGailp4Q5WbmfsO8Ylp6QtR39Cf9HKA8b+Ba2io531HfaX/mLDEzpIkBaThh7IvLzJROlX2kD+0/xWXfeeS0mgt190fQmqTXEYZOfUgswbcCUKtfhASkk06/1nqd1notcDPw9YSffRt4U4rHfBP4vtZ6CdABvCPzh5lsTGNfBlkCzE33gUwHVolYKBrnXyMMbh5OUobUDkiD7G/qIRrXdukUyHiIsehMyJBetryCYCTOfXtP2T+3ylSWzZr+Aemtz9byvfsPcu+eJvu2U+b7dXCgPpwjLb1E45oVgwJSMN6n3UGjvCzH7STX40z6sO8JJWRI/VO3PLpvUMmu1+VAKegPn161QnPPQPMYGNhD2tYX5vxFpfYFEhgZgZOd/fb/t8H2NHRx7Q8f56kjM7Mkta4jYM/GtRpxnOoO8ujBFtbVFOHzOFk3twiPy5G0Tw/g63ft5+2/fX7Cj3kyshaqKgsG3pdGQNpPa8/AHlKAtTXGZ9L2uk67FLXYb2RIh1uU7QhE+OkjR/ifh4/wxl89y88fPZKxf8tk0ReKMa8kl1K/J2WGdFe9kR19zTk19Edi7Gs07mMt8uW4nSypyGfXOMfGTDeJ58uzzX4aiSXOiSXlloIcN2V5Huo7AnT0hXEoo9mRcf+BRdFIdKDLrsc8706VfaQ76ro42tpnVyuNVSgaszu617YlL0wHI8klu4ljnKzAfq5kSKeCAowAEwCt9YNA0klIGSvilwF/M2/6LfDyCTo+m2u0OyilegANKPO/TcCnMnxcU5I1ZsDvcfKn52p583nz7MzHWATCMTtDUplvrIg2dvXjN7MxC83uhWBkUqJxTTASx2cGsSKZdUFUlOvh/EU+qop8/HVLHS9bOwcY6Hi4tCKfvBwXToealgFpMBKzL/oOtwxU2zd1WeMaoLY9wNLK/JSPt+xvMhrqrEgs2S0eyORbF08ASyvz7YssGCjZtS4OYOhg8snqL8/X8tyxDr77mrV2t0y/GZAqpfC5naedIW3pCdldSWEgQwpw8dLypPtuSBhhcM3q2SmfC2BnfRcXLC47reOZqkLRGE3dQarNhlrWqIJttR3saejm09cuB8DrcjKnMGfIhdvJzn6Ot/YRjg7MIpyprJLd8oSFkqpiH3fubORUdxCPy0G+d+D3PMftYGd9F6FojOJcN26ngyKfh6OtqXf2WK/9d1+9lv/+z157W8p01hcy+kMsm5XP/hSddnef7MLpULzx3Hn86oljbDnRzuqqgqRz6tqaQh7Y14zWelzXFdNFXyhKbyhq77dfNisfv8fJCyc6ePn6KmAgwEwMSMFovlff0Y/ToSj0ucnPceNzO5P280bjAyW71n+DkTgJhQKTllUN1tQVTLpOHE3itq8TbckVIv2RGC6HMn6fc9101Q8EnVb5rtXAUALS1OZ/+j8/wJhMkk7bj3/jJR8Z5T4+pdR2IAeYjRFsjqQU6NRaW2+IeozJKhNqLCW7+VrrgoT/LtVa/30iDm6qsT5Y33rBfPY39bCzfux788AIHHxmya7L6aCywGgYc8JcubJ++SGxG6ecCIbT2R/G5VD4PU4cDsUNG6p44nCrfUF08FQPFfleCnPdOB2KUr9nxIC0uSc4JV/vvzxfR0tPCL/HyeHmhIC0O3ms0Gj2NfbgcTrs1WUYKC2v7+w395AaF0+bF5Swo77TLvvpDUVwORRel8Mu95sqDToe3t/C3bsbgYHmJNYeUjDKdgNnsIe0IiETledxYV1rXrwkOSBdOacAj9MxbGMjKyg+OMJoiemqoTOI1gPnSOs1/eNztQBcsaLCvm95vndIdr6112jkU3+a82Snk1M9QYpy3XhdAwud1cW5ROOavY3dlPk9dkDkdjpYPaeQ7XWdtPaE7UBgpD2kVhO0pZX5FOS4Z0Rn895QFL/XCEgPneohPqgUdNfJLpZU5LGgzM+cwhxeONFBIBwjFtf2Z/2a6iLa+8JDSitniuae5L3NTodi/dzi1BnS/OSA1MrwdwQiFJtbSsryPYP2kA6U7FrNI/c0jO8aLls6zN+1pmGqZ4aTFJC2J5/7+sNx+3p0cFMjKwAuy/OS53VJQDr5WCW7y4FrgN+pkVexUv1swssvh82QKqU2jPRArfXWkX6ulMoBHgO85t/zN631F5VSJcBfgPnAceA1WusO8zE3Y9Qtx4APaa3vHfO/ZBJo6urHoeCdFy7k108c58/P19n7F8YisWQXjHLIxs4gCsWsghx7fykkziuMUlEw5KkExipeUa7bvnh61dk1/Oihw/xjaz0fuGwJh071siwh21ee7x0yLNvS3B3k6h88xtxSP/987/k4HFNjhToUNbKj58wvprIgJ2mRpLk7iNOhiMX1mPbP7WvsZkllnt3wAYz9Ym6noqGzn+7+KAXmxdPmhSX872NH2VbXwfmLyugNRsnLcaGUsveYpirZbe8L87l/7eLrr1hDobnnKtuae4IEwjEC4ah98WxVLYCxxyZ4GhnSYCRGV38kqWTX4VDmrFaPXQ5l8bqcrK4qGLax0VhGS0xXdebFVI2ZsS/ze3E5FAdP9TK/NDcpC12W5+VQc3L2rtW82D3e1jeuDMN0lDiD1FJtvq4767uSFqQALlxSxg8fPERlfo79M2sPaapsnrUgOKcohzyvy96XPZ0FwjHyvE6Wz8onEI5R1xFgnrn/zmpo9KLlxqLJhnlGkNWTUFUC2DPIt9d1UlOSO/QvmeasLvmJC3gb5hXzk4cO2RMKWntC5Lgd+AdVjVUX+7h/zykqC7yUmB3iy/KSR8GFowMZ0vVzi3A5FM8fb+fSZRVMdlYJ7XirDRL3hQ4u2e2PRMkxX8eiXA/BSNzuc9IRGNgONThYFQPGkMnMOK3100qpMqAcaB7mbq1AkVLKZWZJq4GGiTpGy0gZ0u+O8Oc7Y3juEHCZual2HXCNUupc4NPAg+bG2QfN71FKrQRuBFZhRPQ/VUpNqVrUpu4g5fleiv0eXrJmNndsPzmu1d/+SCyp/HZ2odGI50Rbn93NzGJloqZixm6idPZHKPQNBDVzS3PZvKCEv75QTyyuOdTcw5KKQQFpigyp1pr/+ttOOvsj7Kjr5I4dE/57etr+9kI9jV1BPnT5EhZX5FHXEbD3hjR1B5lTlENxrpvjbaMHpEaH3eTVD4dDMbvQZ5bsRuzV/I3zS1AKnj1q7NXrCUbtfZcFOS7cTpVyFunzx9u5a1cT2+omTzdZ66KlrTdsl+zmJmZI3a7TKtkdaB6TfPG/trqIV6yvTvmY9XOL2VnflbJDsXWuOdLcOyMaxSSqtQJS80Ld4VB2UHXFisqkoKgsLzlDGorG6DYv/sfa4Gs6M/bpJdcpWpUQvaGovX/U8ubz5uNzO2nqDto/K8x1E47GCUaGvg8bu4J4XQ5K/J4ZE5D2haLkel0sM8+fiYtGTd1B2vrCnFVl7MfdOK+Yxq6gvaXE+qxfNisfj8vBzhm6j7R50IgsMCoi4hp7b7M1g3TwIkh1cS7hWJyDp3rtkWVLK/LZm9AEzuiyazwu1+NiVVXhkLEyk5VVjWBtG/vl40f5/TMnRn2ctehR4vekyJDGkjKkiX9PZyBCnteF2+mgYFDDIzG5KKWWA05g2OYS2vgleBh4lXnTW4DbM390yYYNSLXWLxrhz2j1yGiDtQztNv9o4HqMDbOQvHH2euDPWuuQ1voYcBjYdHr/rOxo7Aoyy+yIeeM5NfSFY/xnZ+OYH2+cAAYudKuKfDR2BTneFkgRkFolu9P/w3w4/9xWzzU/eIzbt58cUgIFxh5S68PHcsOGak60Bbh7dyPBSJxlswayIeV5qQPS3z9zgkcPtvCl61ZxVlUh37pn/2l1s5to4Wicnz58hPVzi7hwcRmLyvPQGo62GMFnU1eQWQU5zC/zj1qy29oboqUnxIrZQ/eZzinKobY9QF/CHuiCHDcrZxfw7DHjHNgTGghIlVKU+r0p5/FZr/9kGRmhtR4ISPvC9IWi+NxOe/wSQM5pluymusAC+MM7N/PhK5akfMyGucWEonF7P2+iPjMoDsfiY1pgmE7qOgK4nYrKgoHXssL8+oqVlUn3Lcvz0hkYGDuUWDo+eB/VTNTSMzRDajUvg6H780r8Ht547ryknxX5zE7bKTppn+zsZ06RD6UUeTkzJCANG+e/pZV5KAX7GwcCUmuv/WozIF1jZkKtebnWOdXtdLBqTgE76qZGGWm6DS7ZhcRKMePzoq0vPOT9CQMZ/va+MCXmCJ0N84wO0UfNz77EsS9gbjup65oSn/VWhtQq2f3jc7X8Y2v9qI+zXrfVVYXUtgeSrqP6IwMVe9brZ50fOwNhu2t0oW/kkt3OQHjY2bsiY3zm2JftGBWpb9FaxwCUUo8DfwUuV0rVK6WuNh/zKeBjSqnDGHtKfzXRBz2m7g1KqdVKqdcopd5s/Rnj45zmC9IM3K+1fhao1Fo3Apj/teohqoC6hIdnZVPtmWjqCjLbvAg6e14xiyvy+PPztWN6rNaaQDiKzzPwv2R2YQ7haJzW3pBd3mMZyJAO/2EeCE/dLryhaGxICclgzx5tZ39TDx/+83Ze8dMnh6xmdvaHKfIll31eubISp0Px4wcPA7CkMjlD2tobSjopx+Ka791/kIuWlPHm8+bx2ZesoKEryK+eOHam/8SM++e2ek529vOhy5aglLL3xViNjU51B6ksyGFBqd/epzwcqzNkYoddS1VRLgfNnxckvN6bF5SyrbaTUDRGb0JzDjC6dKZqamRddEyWkTDd/VE7cGnrDdEXjtkNjSy5budpddltMbuZDs6QjmTDvCIAtp4YmkEOJBzDgaaZNSq6vr2f6uLcpIWCqiIfhT43G+cVJ923LN9sqmWOMLGyKwDHRvk9mO601kmjNSw5bqcdCAzOkAK886IF5HtdLDLPMavmGOeJf6eoJmno7GdOkfE5med12Q3PpqtozMgU+z0ucj0u5pbkcuDUwILS7pNdOBSsNM+tVnO5583PM2vxGYzqiV0nu2ZcBQQYWyc8ZoMdi5W5szJ03YOqoixWKT9AsblIvcHs0mudS6MJe0gBzplfQjgWZ4c5x3gyS8yQaq1p7AyOqWmgVWG3ek4B4WicUz0DJb/9kbi9Tcy6TrK2OrT2he3X0RgJM/zv8Af/tI1X/+/TM/I9my1aa6e5h3Sd1nqt1vo/CT+7SGtdrrX2aa2rra2RWuujWutNWuvFWutXa60nfBVh1IBUKfVF4MfmnxcB3wJeNpYn11rHtNbrMOqRNymlRppfOqZNtUqpm5RSW5RSW1paWsZyGBOmqTtod3dUSnHjOTVsre0cU5ORcCxOXCeXAs5OWJUenCG1sk3Dlezubehm3VfuTxrzMZX85snjXPPDx0Zsu94RCLOkIo/vvnotp7pDvOZ/n+bdv99iZ/s6A5Eh+xCL/R7OXVhil0MtqUjIkOZ7icZ10vy83Se76AxEePXGGpRSnLuwlKtWVvLThw+nzKZ+/l+7+dsLo69MZlo0Fud/Hj7CWVWFXLrMaI6zoMyPQ8Hh5l601sb71cyQNnYF7QZEqexrNC6gls8amiGtKsqxs3OJQefmhSWEonF21nfRm5AhBWOOYWuKkt0WOyCdHBnS5oQP6LZeI0OauH8UjKZG/WeSIS0Ye0A6u9DHrIKclI2N+kJGiZVDDXSQninqOgL2Kr7lk9cs47dv35S05xkGsniJZX5gBLAzPUPaGYgQjsWHZO1hoKN2mX/o+7UiP4enbr6MN2wyJsKtrSni0mXl/PzRI0M+oxo6+5ljVhL5vS56Q5M/A3UmrOoJ67yxrDI/qWR318kuFlfk2dt18rxG0Grt9y9IOKeuqymiPxJL6pY+U7R0hyjPTy7HtRZArQzd4M8ZS1XRwPWT1dRoUXke+Tku+1wajsVxuwae+5z5RsA6eETUZBOOxu0qg6buIJ2BCP2RWMqsZFNXMOmaygokrXLxxIXpYELJ7pzCHLspYiyu2V7bYS+gjLSHNBiJ8eyxdo629PHvnVNnq5PIjrFkSF8FXA40aa3fBqzFaFQ0ZlrrTuARjL2hp5RSswHM/1qbbOuBmoSHpdxUq7W+RWu9UWu9sby8fPCPs6Y3FKUnGLUDUoBXbqjG7VT8+bm6ER5psIcQJzQuqkoISOcPyZC67b93MK01X/73HsLROPfvTb2HeV9j95g6q2bL7oZus5HM8BcrHX0RSvM83HB2NQ9/4lI+cdVSnjjUypXfe5TfP33cKNn1DV3Nt0ZmVBX5klafU80ifeJwKwDnLyq1b/v0tcsJReN87/6DQ57771vrJ0X29PbtDdS2B/jQ5UvsD/Act5OaklyONPfSHYwSjMSpNANSgBPtw78f9jf1UJ7vtTvkJkos50u8eNo0vwSAZ4+20RuKJr3WZX4P7X3Dl+x2mRnSUDSW1YYJiU0vWvtCRkDqSb7g8XlOb+xLc3cIh8KeyzpWG+YV2Xts79zZYGev+0JRinLdzC/zcyBFSe9ko7Xm8UMtZ1zFobXmRFsgqQs5wLxSv90IJpH1e24FolYjs43zi6nv6J8yswfH6pEDzdzy2BFiKbY1DGa93ytTLJJUmzNeU2VIwfhMSmz29vErl9EZiCSdD8PROM09IXuxNT/HRW9ociw+ZcpAIzTjvLF8Vj7HW/sIRmJordl1stsu17Usm5VP2HwfJladWE0Stw1akPrk33bwvltfyNC/YOIcbelNuT8ejEUnK7NusV4bq/R0uIDU53Ha48aspkYOh2JdTZHdJC4Si+N2DFwSF+V6WFaZz7OTfB9pYsfb1t6QvRe0LxxLKjdu7wtz6Xce5q9bBhbMe4IRlBqofEqsSkvsaWJVWB1u7mX3yS66g1HOX2xcE40UkG6v6yQcjZPjdvDjhw6P6RwkZq6xBKRBrXUciCqlCjACyIWjPUgpVa6UKjK/9gFXAPuBOzA2zELyxtk7gBuVUl6l1AJgCfDcOP4tWdUfjvGiZeVJXVtL/B6uWjWLf2yrJxiJ8cMHDnH79pOpH28NIR7U1MgyuOOmddLtTlHudPfuJp491k6hz81TR1qTLvi01tzy2BFe+uMneMmPHuf+vadO41+beUfM0pCRsnbtgYGyEZ/HyQcuW8LD/3Up58wv4Zv3HKAnFE1ZvnP1qkqUgiWVyd00y/OGBqRPHm5l+az8pH0pC8vzeOO58/jL87Ucbh5Y6Q6EowTCMfY1dtvNBbIhFtf85OHDrJhdkDTuAmBxeR6Hmns4Ze41qSw0SnaBETvt7mvsTpkdhYHMCQx0hARjJdr6QO8xu+xaSvypS3at4MDKkP7ggUO85EePZ630fGiGNDbkgsfndo74Pk3leGsfd+1qZHahL6nMdCzW1xRT197Pzx89wgf+uI1fPXEUMDp5+r0ullXmc/DU5M+gPHO0nTf96jkeOXBmlS6nukN09UeSzr0jsX/PeweaVYHRTCYW15ycZmM1fv7oEb52137ef+vWUffDWe/3VBlSKwOdao9eKmdVF3L1qkp+9fgxOsxqiFPdxnieKjOw8HtcBCPxaV3OZwWk1n685bMLiGujUqW5J0Rrb8jOUFkSZz0nVp3ML81lbkkutzx21D7nRGJx/rOzkfv3nprSI3QOnurhyu8/xs3/2JXy50db+pK6ZcNAya6dIR30OZOoylxQSSz53TC3mAOneujqjxDXJJXsApyzoJitJzom9fvT+qxcMTsfrWF7Qhf2xMaBTx1pJRiJJ4226jabDVYX+3A5VNKidCAcTUqQLKowrh2ePGIt0huzrgt9bvojsZQLCc8ebUcp+MJLV3G0pY8fPHBwym4jE5k3bECqlPqJUuoC4DkzsPwF8AKwlbEFirOBh5VSO4HnMfaQ3gl8A7hSKXUIuNL8Hq31HuA2YC9wD/B+axPuVFCe7+X/3raJFw1qEf66c+bSGYjwib/u4PsPHOTTf981ZCg7DMwQTBz7UuL32N0IEy/0wZjBled1DSmHCkZifPU/+1g+K5+PXbmUxq6gnQnt6o/w7t+/wNfu2s+VKypZXJHHTb/fwu6Tk6tJQjyu7aHqI5VCdgbCdvmNpSI/h8+8eIWdOS5KMTqkIj+Hj16xlDdunpd0u9Whc7c5eywYibHlRAcXLi4b8hzvf9Fi4hru3TMQ0CcGWI8eHK67dubdubOBY619fOiyxUO6DW5aUMLBU7384jEjiJlVkMO8MuPffWyYDqPRWJxDp3pT7h+F5Axp/qD36eaFJbxwooPuYIT8QSW71iiVRC1moGztIa1tC1Df0Z+1AKu52whainPd5h7SKLkpSnbHkyFt7g7ysp88QXsgzLdftWbcx2TtI/3G3fuBgdmofeEofo+TheV+6toDk/oiCrAbL205cWYZiH1NVjn52OZf2SW7ZkDa2hsi1+O039/HplnZbl17P3MKc7h3bxOv/8UzI87/PdU9tHGMxarYKfGnzpCm8rErl9EbjnLL48b5ZmDki/FcVvDQN43Ldq1/m7WQZS2c7G/qsRsaDQ5IrW68TodKCgqUUnzjlWdxrLWPb997ADCypX3hGJGYnjJdYVP5+l37iMU1/9hWz96G5AqPzkCYtr4wC8uTK8X8HmOLQnd/lHhcp9zjb7EWVBLfvxvmFaM1vGCegxJLdsHoBdIXjnGkZfKeE6zPSuv8lbidI7Fs90mz2isxm9kdjFCQ48bldFBV7ON4Ysluwh5SgCUV+ZzqDnHv7iaWVebblSaDFwUSPXusjRWzCrjxnBpu2FDNjx86zM3/2DXpP5tEdoyUIT2EMd7lpcDNwDMYAeRbzNLdEWmtd2qt12ut12itV2utv2Le3qa1vlxrvcT8b3vCY76qtV6ktV6mtb77jP5lk8T5i0qpLvZx585GllXmE9ear921b8j9rNXOnEEfPnOKfENK0Sz5Oa4hTY1+8dhRTnb288XrVnHREiOQevJIG7tPdnHdj5/gof3NfP6lK/nZGzfwk9dtQGvY2zi5yvsau4P2uIDBAYslHtd0BCJ2+U2is6oLucAsJ0kVkAJ86PIlQ7pvzinysX5uEf/aZmSxtxzvIByNc8GSoQFpeb6X5bPyefrIQCftxFESZ5r1OV3xuObHDx1maWUeV6+aNeTnb79wAefML+av5j7XWQU5FOS4Kcvz8IdnTvCVf+/l7l2NSZnBY619hGPxlB12Ibm0PH/Q6vTmBaUEwsbqafIeUrOxTEIQr7W2s1Z2e/l+4+dPm6uyE625J4TP7WRuqd/usjv4gsfncY0rQ/rc8Xa6g1F+9ZaNnJ9isWM0q+YU4nE5WFjuZ1G53x5FEwjFyPW4mFfqJxrXNHRmL0s/Ftbs0MHlh+NldSwda4bU53Hi9zjtSojW3hCleR67cdyJSbyVYbxC0RgNXf28amMNP339BvY0dHPDz57iZIpFUUjIkKYo2b1m9Szee+miYSslUlk2K5+XrZ3Db548TktPiIauQQGpubjTM43LdgeX7M4v9eN1OTjQ1M2uk10oBSvnJC+mLDfPtfnm7OZE5y82Guz931PHePZoG08casGhwONy8PihgfNkPK65+R+7ePbosNMeJo0nD7fy8IEW3nfpIvK9Lr55z/6kn1sB4eAMqVLKGDsSjNjnwfxRAtLERWyrpN8aT+YZlCFdXG78fzjWOnkrTjrtgNQ41q3DZEifSBGQ9iQ0G1xamc9jB1rs4Dyxyy4M9NvYUd9ll+vC0H28llA0xgsnOti8sASHQ/GdV6/hg5ct5s/P1/Gu322Z0tl8kRkjjX35odb6POBioB34P+Bu4OVKqdQzCcQQDofijefOw+Ny8MPXreO9ly7izp2Ndkt3i5UJzB000Pl9ly7ipotTV0gbAenASaCxq5+fPnKEF581i/MWlbKgzM/swhx+/cQxXvmzpwhH4/zl3efyjgsXoJSyLzpSNefJpiMJQ+uHKzHrCUaJxfWwAef7Ll0MMKTRyWhesb6K/U09bKvt4AcPHCTH7bD3Qg527sJStpxoT+jCapz8V84u4IlDrVnZi3b37iYON/fywcuWJO3nsridDn78ug2Umh/K1nvg09euoKrYx63PnuC9t25l01cf5JJvP8zHb9th7wEbLgOV43baz1cwqER604KB1y6xlMraz5P4gdnVHyESM8p5rFVfKzB9OksXVc09ISoKvJTneWg1S3YHD13P9TgJx8ZednjoVC8OZQSWpyPH7eQP79jMn991LpUFOQTMDEyv2XDJ2m8+2Ue/1JulsTvqOs9ob9G+xm67o+5YleV7ae1Nnl1YlufB73EmZQmmuvqOfrSGeSW5XHvWbP74rs00dvXzk4cOpbx/c3eIPK8rqbmepSzPy6euWT6kSdRoPnLFUsKxOF+8YzcvmB1NraZGeV7j/9m0zpCai1XW3nOnQ7GkMo9dJ7vYfbKLReV5Q15vK2gdvMBn+dQ1y6kpzuW//raTB/Y1s7amiE3zS3ji8MBC6EP7m/nTc7WTfm52U1eQ/75zL1VFPj50+RLee+liHj3YwqGExmxHzSZOCwcFpDCwh9F6Dw2XIT2rqpA8rytpNFShz82Sijxu22L0+XAN+sycb1YPHZ3Ei1RWya71+Vzf0W8H1tY1SW1bgLp243yblCHtj9if2V+8biWleR7e+MvneOxgizGGMDEgTdjidMGigYXUwRlSrTWtvSF21ncRisbZvMAIXpVSfPyqZXztFWfx6MEWbrzlmUl37Smya9RPFq31Ca31N7XW64HXA6/A2AsqxuhdFy3kqU9fxvJZBbznkkVUFfn40h177AvYfY3ddonp4ID01RtrePFZs1M+b36OOylD+q17DhDTmpuvXQEYJ4DzF5VxrLWPzQtK+M+HLuTseQMBQo7bSX6Oa9KdFI4kdBAcrhTSCliGKx+7YHEZz37mcru1+1i9dM0cXA7Fm3/1HC/UdvDdV68b9gPu3IWlBCNxe1C5lSF91dnV9ISi9sXXRDGyo4dYVO4f9j0DMKswh1++ZSOfvGaZnZF/1dnV3Pbu89j1pav5x/vO5zMvXs6yynwePtDMn5+vw+d2DlmdTjQnoUlJovJ8r11mlZQhNRv5tPWGeMdvnucPz5yw34fWnEgYCEifOdqectZspjV3B6nI99pzU1NmSM3XcKyddg819zCv1J9UDTFemxaUUFGQQ67HNZAhDRvHZnXknuwdY+s7AihlXLCPpRP5cPY3Db+/eTjleV5aewb2kJblGd0755X6J/3rNh5WkxLrPXH2vBIuX1HJ/XtPpVwESDWD9EwtKPPz7osXcteuJv7wTC3FuW77QtfqPDudGxsNZEgHft8vXFzOM0fbeXB/85ByXTCC1qWV+eR7Uy+y+L0uvv2qNdS2B9jb2M1FS8q5cEkZB0/10mxue7AWEkcb6ZUtzT1BvnTHHi7+9sMcbu7lC9etJMft5IYNVShlLK5ajrT04XaqpPEtloIcN939Efs9NNwe0pecNZvnPnv5kB4Ab7tgAQvK/Fyy1HgNE+XnuCnP93JsCpTszi/1259FVobdKtm1sqPVxT57RA4YC/tWI8Lq4lz++p7zmV/m5x2/fZ7+SCzpM6q6OBevy4HTodi8cOA6cvDonX9uO8nG//cAX7x9D5C8KA3w+s1z+cWbN3K4uZdX/uzJpOs9kT1KqS8ppT6RzWMYy9gXt1LqOqXUrRgZ0oPADRk/smnE6VD2vqUct5PPvWQF+5t6+P0zJ/jSHXu49oeP23v6xnORmliye7i5l39tP8nbLphv74UE+NhVS/nea9bym7dtStkhtTzfa5dJThaJJ6jhSiGtgevFKUp2LZUFOUPKnUZT4vdw6bIKekJRvvjSlbxkzfCB3bkLS1AKu2zXyva9bN0c3E414WW79+09xf6mHj5w2eJRG+Wsn1tsZ5ETeVwONswt5qaLF3HLmzfywueu4MGPX8K/P3gBHtfwp4uqIh85bseQphCAvUI6eA4pGONJHjRX8q2AdGllHr2hKJFYnM5AmPJ8L139kayUlhsX6DnG3NS+sD3gPpF1cT3Wst1Dp3rtmbBnyu912he8fWGjZLci30uO2zHpM311Hf129cHplu2Gosb+ruH2Nw/H6kgJAxlSMDIih8yxSGOhtebOnQ1ZbWI2klqzLDqxKd61q2fR2htmS4pxFs09wXHNxR2rT16znKc+fRmff+lKvvSyVfbt1jlhOo9+sRabE88bn7x6GZ97yQq8LgcXL01dtv/xq5by4SuGL0bbvLCUt10wH4BLlpbZvQ6eONzKnoYunj7ahsflmJTd9P/4bC0Xf+thfv/MCV6xroqHP3GpvcWkoiCHs+cWJwWkR1t6mVfqT5mdL/S56Q5G7WuhPG/qayilVMrM/+s3z+Uf77uA3759E4srhi5sLSjz26/hCyc6eOJQdraPDKczECHH7cDncdpTHhZX5OFxOez94k8ebmV2YQ7r5xan3ENqKc/38uebzmVNdRGQPPXB6VAsm5XP+pqipF4RgzOk9+5pwulQ7DUbIaZKGly+opI/33QugVCM1/z86WG3ZokzpwzjK2vJzHGkXilKMFJToyuVUr/GGMdyE3AXsEhr/Vqt9b/SdpQz0DWrZ3H+olK+/O+9/Oap4/jcTp4yg5pUJ8zhGBlS4yTw04cP43U5eNdFyeW9VUU+XrmhetgApSzPO/kypM199kluuKyT1bVxcFOjdPjK9au45U1n89YLFox4v6JcD8tnFfDMMeP/XWuvUe5Wludl47wSHjkwcY2NtDayo/NLc7luzZy0Pa9SikXleSk/qBNdtLSMCxenHsN0rrmamvjBZ2VIH9pnvEZ7GrrtZlLWYPjW3hB94RhXrzL2+ibu150ozT0he9xNLK6HzAqGgaqGsTQ2CkfjHGvtS5p/eyaMDKnx9wZCRlMjpRTzJ3mmLxiJ0dIT4oLFZZT4PfbohfGy5uItH2Z/83DK8j209oaIxTXtfWG7hPzSZRXUd/Rz587GMT3P/zx8mA/8cRuf/WfqzqDZdqItgM/ttDsLg/Fv9LgcSRf8FqNEfWiH3XSYU+TjHRcu4Pp1VfZtVslub4pu8dOFdbGdmxCQOhyKd160kL1fuYaXJ7weiS5dVpGyD0Cim69dwR/esZkNc4tZObuAUr+HO3Y08OMHD5PrcfKGzXNp6OonFJ08AX9/OMbX797HWVWFPPixS/jmq9YkLaKDcY20r7HbPocdbe1jYZk/1dNR4HMllezmDZNVPl0Ly/wcb+tDa80n/7aDz9++O63Pf6Y6+gamDcwyf3erinyU+Y1tJvG45skjrZy/qIxC87WyJO4htRT63Pz+HZt436WL7M9ey49uXM8Pblw35P5gZGqjsThPHW7j1WdX88Mb1/HF61YxnLU1RXzhupW09YXthTORHkqp+UqpfUqpn2I0ov28Uup5pdROpdSXE+73WaXUAaXUA8CyhNsfUUptNL8uU0odN792KqW+o5TaZT7XB83bz1ZKPaqUekEpdW/CaM9HlFJfU0o9Cnx4tOMeKWr+DPA0sEJrfZ3W+lat9eS9wplClFJ8+WWrqCnx8eWXreLdlwwEkb7TyJCeaOvj9h0NvHHzvDG35LeU5w+Urk0WR1t7WV1lZDyGyzpZ+yZSNTU6U3OKfFw1yoWA5Vyzi2w0Fqe1N2xn/i5dVs7+ph4auyZmhMRD+5vZ09DN+1+0eNx7vNLhDZvn8cu3bEz5s6tXzeJzL1nBxoS9uD6Pk1yPM6kBgzUfzdqrYq1KL5tVwMIy/4TvIw2Eo/SGolQUeO2ABYauwI8nID3R1kc0ru2g+0z5PU4CIaPDZCASsy9655bkTtpSPcBuqlNT4mPD3CK21XWe1vNYDY3G2mHXUpbnpSMQobknSFwPdN69YUM1K2cX8PW79o2a8b5zZwPfue8gswtzeHB/sz0PdjKpbe9jbkluUqVIntfFxUvKuXdP05CRYM3dISozkCEdjlXGOp0bnFjZ39wUn+1Ohxp3FU8ij8vBhUvKUErhcCguX1HBIwdauGdPE6/ZWMOa6kK0HmggNhnctauRnmCUT1y1zJ6BPdg1q43P37t3NxGNxTnR1seiYRbxhpTsDrPF5nQtKPPT2hvm2WPtHGnpo74jMKnmaXYEwhSZ10HWqMA5RT5K87y09YWobQ/QGYiwaUGxnU3WWqO1picYGdL3AYyFzk9es3zInt35ZX57HrGlONdDRb6X54+3s6O+k55QlIuXlnP9uirOS5jfnooVQLf2DN/5W5y2ZcDvgE8BVcAmYB1wtlLqYqXU2cCNwHrglcA5Y3jOm4AFwHqt9RrgVqWUG/gx8Cqt9dnAr4GvJjymSGt9idb6u6M9+UhNjV6ktf5FYhdckT5LKvN5/JOX8Zbz53Pt6oGyUJ9nfAFpdzDCV/69F6dDDdv8aCTlkyxD2hOMcKo7xGqz4cuwe0jNDGmRP72roeO1rqaIYCTOwVO9tCWU/r1ouTH+ZyLKdrXW/OjBQ1QX+3j5+tSr7dmU43byzosWDin5Lc3zENfGoPhZBTkcau7F63LYXaWtgLTI5+bcRaU8d6x9QtvFN9sjMHLsjC4MbZqRM449pIfMhl3pKtnN9boIRGIEIjG0HgiW55f5OdEeyMq+27GwLpCri3NZP7eYw829dAXGv49wf1M3XpeD+aWpO5EPx/o9tRZBrO+dDsUXr1tJQ1eQW8xtFMO5b88pZhXkcMcHLsTndvK/jx4Z9/Fn2om2wJAZ1mBc8Dd2BdlRPzDyqzcUpT8SS9lhN1OsPZI9UyQgDUZi4/6dCoSi5HqcKZvMpdvXXnEW//nQhfzsDRv4+FVLBxqcDTPSKxv+/HwtC8v8Q/YWJqouzmVNdSF3726irqOfSEwPmyG1mhr1Dhqvky4LzL/3x2YjsEhM23O8J4OOQIRis7ljpRmQzi7MocTvob0vbDePm1fqp9DnJhbX9Iai9IVjxPXQvg/j5XAorlhZySMHWrh/bzMOZUyXGIuyfGsm9OR5PaeRE1rrZ4CrzD/bMLKly4ElwEXAP7XWAa11N3DHGJ7zCuDnWusogBkfLgNWA/crpbYDnwOqEx7zl7EecNbrioWxZ85q/DK4qdFIinM9RGKaB/c38/5LF59WqVV5vpeeUHRcYysy6ajZPGC12ehh2JLdQBiXQw3b4n2irDX3Wuyo7zTGR5glxEsq8phTmDMhZbuPHmxhR30X73/R4pR7OCcrK8hbV1PEi5Yb5b7l+V67/Oi4FZDmujl/USm9oSi7JnBm7gkzaJpTmGNnviFVya7x/Vh+hw6e6kGp9AWkfo8TrQeaV1jHMq80l3A0TtMkunBKZF0kVRf7WG+OXthuNgcbj/1NPSytzB93VYB1cfu9+w8CJI3W2rywlBefNYufP3pkxAqH5p4gNSU+yvO93Liphjt2NAw7TiUb4nFNbXuAeSnGhl2xogKXQ3FPQtnuqYQFmIliNzWaAiW70Vici7/1MP/31PFxPa4vPLQRWqa4nA5WzSnk2rNmk5/jnnQdtw839/D88Q5ee07NqJnha1bPYkddJ/fvNd6jw2ZIfW5C0bh9DhyuqdHpsgLSJw+32Q2AJlOJaUdgoGTXypBWFfmMvge9Yeo7AvZtifs9rSZEg2fcn46rVlYSCMf47VPHWVNdZGdsR2PtV59MSZFpxPqlV8DXtdbrzD+Ltda/Mn823OpalIH4MPEDQaV4jAL2JDz/WVrrq1Icx6imztXrNKaU4lVnVzOrIGdcAcVrNtbw3Vev5embLxux+cFIrBNCa2+I7XWd/PjB1OMAJorV0GjF7HwcaqSS3TDFfs8ZlTulw7zSXAp9bnbWd9LWG7YbRymluHR5BU8carXHwmTKv3c0UuL3cMOG6tHvPIlYZbBra4q4dJmRUS7P99qjfI6Zq/rFuR7OXWisuE5k2e722k6UMubaliaV7A63h3T0i+pDzb3MLck9ow67SX+3eSzWB7p1gT/ZLkQHq+/ox+1UVObnsKamCKUY9z5SrTX7GruHnY87kvMXl/H4J1/Efz50Ifd/9GJ7i4Dl5mtXENOab949fEP5ZrPhFcA7L1qIBv70bO24jyVTWnpDhKLxlBnSolwP5y0q5Z7djXbZrj2DdAJLdl1OBzluh90pejI73NJLc0+IA03ja67WG4qlPWs3VsV+D4U+96Q5D/zl+TpcDsUNZ4/+WfXqs2vI97r4zr3GotGisuEDUoBGs7GYf5imRqdrbmku1mWG1VdiMgWknYGI/Zl53Zo5fP6lK1lckWc3bqvv6MfpUMwuzEkKSK0mUPlpCEjPW1RKntdFfyTGxSnmtg8n3+vC63LYI7hERtwLvF0plQeglKpSSlUAjwGvUEr5lFL5wHUJjzkOnG1+/aqE2+8D3mM1KFJKlQAHgHKl1HnmbW6l1PCbh0cgAekk8Z6LF/HoJy8d12NK/B5uOLua2YXjm7WZyF6h6g1x25Y6vnv/wSEDjifS4eZenA7F3BI/uR7XsCW77X1hu0wlm5RSrKkuZFttJ+2BMOUJgcslS8vpC8fssTCZsr+pm9VVhSN2wZ2MrAzp2uoiLlhchtupqMj32qur1jDyQp+bsjwvSyvzJrSx0dbaDpZW5JOf407aqzz4gsfusjuWkt1TPWlraATYM1GtgNTKkFoZv9pJuo+0riNAVZEPh0OR53WxrDJ/3J12T7QFaO0Nc5ZZpTBeNSW5rJpTyJLK/CELWzUludx00UL+tb1h2PFNLd0h+/xZVeRjSUUeexomLoM/GmsP8dwUGVIwMlDH2wIcMEfuWO+hiSzZBWOBp2cKZEh3nzQCUSuTPFZWyW62zC+dHPvJQ9EYf996kitXVo6p10V5vpePXmnMsC31eygc5vPeylqe7DTmb3pd6X2tvS4n1cU+PC4Hbzt/Pg4F9ZMkII3HNZ0JGdJiv8eeM1/i9xCKxjl4qodZBTm4nA47eO/qj9BtNsQs8J35YonX5eSSpUaV00VLUzc3TEUpNSkba04nWuv7gD8CTyuldgF/A/K11lsxymm3A38HHk942HeA9yqlngISVxh+CdQCO5VSO4DXa63DGEHrN83btgPnn86xTq0r2GnM4VBpP5GOhdV9saUnZJfRHTqDmYBnam9jN0vMluU5bucIJbuREUe+TKR1NUXsb+pBa5JG61gXgs0ZPNlGYnEOneplxTjnME4GC8v9dqCZ53XxmRev4PWb5+H3OHE7lT3I21r9PX9RGc8fb894xhmMD/rtdZ2sn1sEGJkcawFk2Dmko5TsRmJmh900NTSCgQDUeo9ZmZg5RT7cTjVpR7/Ud/QnNcdYP7eY7XWd49qfZ2XLz1s4tv1K4/XeSxdRke/lK//eM+S4+sMxekLRpBEpSyrzOTyJZupZHUrnlabee3flykqUwi7btfZMl09gyS4Y79mp0NRot7ldYLz7B3tTzC6eSPMTxpZk0wN7m2nvC3Pjprljfsybz5vHitkF9haeVKwgq6GzP+3lupZrV8/mTefOo9jvYU6Rb9JkSP+2tZ64HmgEmMjaPrSzvosqc35r4sxQa0JDOjKkAG+9YD7Xrp7FOnMLxliV5w+M4BLpobU+rrVenfD9D81S2rO01udprY+Yt39Va71Ma32V1vrtWuvvmLfv11qv0Vqfr7X+nNZ6vnl7VGv9Ma31Sq31Wq31T8zbt2utLzZvW6W1/oV5+6Va6y1jPW4JSGe4ioQafmvV70CWAlKtNbtPdrHKbGiU63HSP0wpV0dfOOV8q2xYk5ChSSztHDyfKxOOtfYRjsXHPYdxMnjHhQt46BOX2Pv/3nbBAi5ZWo5SiqJcD+FYHJeZQQM4d2EpwUic7afZkXU8jrX10dUfsQNSGFhsGHxxOdYuu3sbuonEdFozpLlDMqTG906HoqYkd9KOfjnZEaCmZKCyY/3cIrr6Ixwdx4Xz00faqMj3sqg8dcB1pvxeF5+6Zjk76rv457aTST9LVd66uDyP+o7+SbMfv7Y9gEMZ2dtUKvJzOGdeyUBA2hPE63LYGaeJkpfjsmd1TmbW/vXxZnMC4eyV7IKxINHQOTD65akjrTw8gSPJLH9+vpaqIp89L3UsXE4Hf33PefzPGzYMe5/ChIA03eW6ls+8eAWff+lKwFhongwBaVNXkP++cy+b5pekHPVmZaGbuoNUFyUHpIklu+n6fT9nfgk/e+PZ4+5jIRlSYZGAdIYr8XtQCpq7g9SbDTkOZml8QXNPiNbesL2fK9czUoY0POaN85m2tnpg9TaxFClxNTJT9jUaZWTjncM4GbicjmEbKljZyKJct11Oee7CEpSamHmkVvno+rnF9m3WirPfM76S3d0nu/joX7Zzw8+ewuNycPa84pT3Ox3WBdjAHtKBi4v5pZMjMzJYIByltTeclCHdYAb+Y91HqrXmqSNtnLeoNKP7yF+xvoq1NUV88579SVm8gfLWgWzi4oo8tB7YB59tte0BZhf6Rizlv3r1LPY39XCstc+cQeqd8H35fo9r0jc1isU1exu6cSho6wuPq0qjL8slu4sr8ohrOHTKeF9+7a59/Ndfd07o6JK69gCPH2rlNRtrhp2JPpw8r2vEgN76DOkIRNI+gzSVmuJcatuz27xMa81n/7mLcDTON1+1JmUH58QF++rioQHpkeZeHApmFU5sRcRgkiEVFglIZziX00Gp38Pexh77QzZbGdJd5giCs8zynBy3M2XWSWtNRyBCSZZHvlgqCnLs7nZlSd1YnTgdKqMZ0v1NPbidioXDNHyYqqzFhsKEGWlFuR5Wzi7g6aOtGf/7t9V2kO91sThhDlvZMBlSj9OB06GSmhrF45oH953ixlue5qU/foL79jTxpvPm8eDHLhm2hPJ0WCW7Lb3JGVKAlbML2N/Uw8du2z7mD/x/72jIeFb1ZEKHXcvCsjzyc1xjnkd6pKWX1t5Qxsp1LQ5zDExzT4ifPnLYvt0qkU7KkJqZ78kSkJ5oCzBvlHE41rzHe3Y3mTNIJ/7iNH8KZEiPtPTSH4nZi0ktw/w+Jc51tfSGolnNkFqLPVtrO4jFNYdOGb87W8fZROxM3LalDoeCV29Mf+O9xM+IwTOiM2FuaS6tvaGsVkL8a/tJHtzfzH9dvczuAjxYYrWWVbKb53XZ1yTb67tYWpk/pGv8RCvP89DWF57QkW5icpKAVFCW52V7nfHhVFng5UBTT8oP1kzb3dCFUtjlp0bJ7tCTfncwSiyuJ80eUhgY/5KYIVVK2TPSMmVfYzeLK/KnXEOj0QxkSJP/H5+3sJStJzoJjqGB0JnYWtvJurlFSSvPZXkevC7HkJIkpRQ+c/EkFI1x67MnuOL7j/KO327hRFuAz7x4OU/dfDlfvG4VNcM0mDldfnsPqVFCmnjh+4HLFvO+Sxfx7x0NXPadR/jDMydGzIqc6g7ywT9t43dPn0jrMQ5WnyIgdTgU62qKhm1sFIzE+PsL9XbgYs33HW3wejpsmFvMy9fN4RePH7PnpzZ3Dy3ZnV+Wi0MZjdkmg9r20QPSqiIfa6oLuWdPE809wQlvaATGAk9vKEprb4hP/m0Hb/u/5/jJQ4ey8hk0HGux9PIVlcDA//9En/vXLl77v88MubAOhGNZveivKvJRWeDlhRMdHG/rI2QuPN+bMPInnYKRmN0wB4xxObdtqeOSpeXMGaZ8/EwkztGciMDfOofXdWSnbLe5J8iX7tjLhrlFvM3s+ptK4uxsqxpFKUVBjovOQIQdCT0Ssqk834vWRqNKMbNl7CpWKVWjlHpYKbVPKbVHKfVh8/a1SqmnlVK7lFL/VkoVJDzmZqXUYaXUAaXU1Zk6NpHMKJkwTgaXLa+kIxDJShvu3Se7WVjmtzNQvmGaGrWYF9+TZQ8pGA1CllbmDSlBzXRAur+xZ0o2NBpNkc/sGjios+L5i0sJx+JsHabzaTr0haIcaOq252Na3nz+fL71qjUpH+PzOAlGYvzggUN89p+78Xtc/PDGdTz2yRdx08WLklbx0ynXm7rLLhgVBp+8Zjl3f/giVs0p5HP/2s3/PHw45fMA3Lf3FJD5CwMreK4cNDd5w9xiDjR1D2lwo7XmU3/fycf/uoMbfvoUX7pjD1+7ax8rZhcM20E23T517XKcSvH1u/eZ/4YQLodKWhTzupzMK/VPioC0JxihvS/M3JLRs/FXrzLmPda190/oDFKL1dTol48f428v1HOiPcB37jvILx8/NuHHMpxdJ7vwuZ12Rn5wp92H9p/iD8/U8tzxdm5NGP2jtaYvHJ2QzN1wlFJsnFfCluMd9nacOYU53LOnKSNB/2f+uYtz/t8D/L8799LWG+KRAy2c6g7x2nPG3sxoPHLcTrzmguxENI/KZgdzrTWf/9du+iMxvvWqtSOWP/s8TrtiJnEfeVGuh531XXT1R8bdgCgTEic9iJktk2mVKPBxrfUK4Fzg/UqplRhtgz+ttT4L+CfwXwDmz24EVgHXAD9VSmXvLD6DJHaKvHy5MQ/yYBbKdvc0dNnlumCcUFNlSJ8y9xAm7u/LthvOrua+j14yZC9Hgc9Nd4b2R3X0hWnqDk7J/aOjKTLLsQt9yYsO58wvwelQ9nsgE3bWdxHXQ99fi8rzuH5dVcrH5HqMDOn+xm5WzC7gjg9cwPXrqsbd4GG8rAxpa28Yt1OlzJQvrsjnj+/azMJyP3sbhp+heN8eI2PSEchsQGoFz4NHP6yfW0Rcw45BY5J+8fhRbt/ewCvXV9HY1c9vnjrOjZvm8pd3nzth+x1nF/p4zyWLuGtXE/ubumnuCVGW5x3y+76oPG9SBKRW05WxBOzXmmW74Vg86bNgouR5XXQHI/zpuVquXjWLBz56CS8+axZfu3sfD5iLJNm2+2QXK+cUMLvICNitRRUwSnI/98/dLKnI4/xFpXz3vgP2ok5/JIbWExMojWTDvGJOdvbz2KEWHArefcki6jv62ds4vpmqY/Hs0Xbyc1z8+sljXPSth/nv/+ylLM/L5Ssq0v53WawFv/wJaMhVY1Z2DG5s1NEX5n8ePjyuTuHjdefORu7dc4qPXrHU3iIwktI8o0eI9b4F45rEatC1dhIEpGUJkx7EzJaxqyWtdaM55watdQ+wD6gClmEMZAW4H7jB/Pp64M9a65DW+hhwGNiUqeMTA6yLkLI8j32COjDBjY1OdvbT2BVMau8+XFOjh/Y3M780d9i9E5NJYoY0EosnlTKdqUPmhe/SNI4RmSyszFPRoAxpfo6bs6oK7ZEfmbDNLF8fz+qxVbLb3BNidmHOhAVKOW4HShlNV0YqC1RKUZ7npa0v9Yd+VyBiN4vqyHCGtKUnREGOixx38nqj9Xonlu0+erCFb9y9n2tXz+K7r1nL3R+5mDs/eCFfe8VZwzbEypTr1s4GjEqOFrMB0GCLK/I43tbHyc7+rF5gWdmb0Up2ARaW57HUHBtRkaWANBLTdPVHePuFC3A4FN999TrOqirkfbdu5R9b6yf8mBLF4pq9jd2cVVVIqd+LQw2MyAH49j37aewO8o0b1vDll62iLxzjO/cdALBLzHOzHJBae19v397A/FI/L10zG4dKf9luR1+Yk539vPOihdz30Uu4bHkFJ9oCvH5TTUYX56zRLxNRslvi9+D3OIeU7N67p4lv33uAo62ZWZBq6w3xxTv2sLa6kHddNHypbqJSv5eKfG/SSEErePd7nCypyP61g3X9OVxVXjgaz2iQLyaPCdl4ppSaD6wHngV2Ay8zf/RqoMb8ugqoS3hYvXnb4Oe6SSm1RSm1paWlJWPHPJNYs0irinMpy/NQ4vdMeIb0/925F4/LwVUrZ9m3+VI0NeoPx3j6SBsvWp651dZ0Kshx2V12f/bIEc7+7/v59r3709IQwcrEjGWldKqx95CmKHU9b1EpO+o6Mza7cOuJThaW+SkeR0m4lc0/1R2a0It6pZSdJR3tYqwsz0vbMMHmg/tPEY1r5pfm0hHIXIk5GKVZqTJxRbkeFpb77YD0eGsfH/zjVpZW5vOdV69FKUVVkW/EmYSZVFOSi8uhONrSa3SkTfFvWFqZRySmueAbD3HOVx/ISqUJwAkrQzqGgBTgmtVGsF1RkIWSXTOrdVZVIRvNwMnncfK7t2/i7HnFfOy2Hdy5s2HCj8vS3BMkEI6xqCIPp0NRnu+1Z5G+cKKd3z1zgrecN5+z5xWzpDKft5w3nz89V8vuk10EQsZ5Ppslu2A0OPO6HATCMZbNyqc0z8vGeSU8fCC911C7GwYaEy6uyOMnr9/Ac5+5nA9dviStf89gdpA1AQGpUsZIrbpBGdJ2s7KkJ0MVUd+8Zz89wQjfetVae1TaaNbVFLF5QfI+e+u1Oqu6cNwdjzNhtAzpbVvqOOerD0gGdQbIeECqlMoD/g58RGvdDbwdo3z3BSAfsK6QUv1mDFkW0VrforXeqLXeWF5enqnDnlGsi8OaYh9KKZZW5k1op9179zRx9+4mPnz5kqQLKJ/HNSRD+tSRVkLROJdNkYA0MUN6rLWPuIb/efgIV3zv0TMuRzvS0ovP7WROYfobRWSb1cyoKEVQeN7CUqJxzfPH29P+92qt2V7XwbpxNnvI9TjpCUVp6wtN+EW9tU9otNESpXke2oZZhX7hRAeFPjeXLC2fkAzpcKWh62uK2V7XQW8oyrt+twWHQ3HLmzZmveQRwO10MLckl2OtfbT0BClPsd/yxWfN5muvOIsPXbYYIGtjd060BSjOdY85i/yajdVcvryCdQkzlSeKtZDytgvmJ1UWFOV6+N07NlGR7+X+LJbuNnQawWeVWfZYWZBDc0+IUDTGp/6+izmFPv7r6mX2/T98xRJKcj186Y49AxnSLHcy9bgcdvXTMrPnwIIyvx1Yp4tVCrpqzsBc7IqCnDEHUKfLmqU5Ud2MU80itc6bmQpIt5zo4PLllfb/v7H40stW8aPXrU+6rdBnvEbraibHlie/10WuxzlsJ/hHDrTg8ziTJhiIkSml5iul9iulfqmU2q2UulUpdYVS6kml1CGl1CallF8p9Wul1PNKqW1KqesTHvu4Umqr+ed88/ZLlVKPKKX+Zj73rSrNpWAZ/e1VSrkxgtFbtdb/ANBa7weuMn++FHiJefd6BrKlANVA9pZFZxArQ2p1YltWmc/fXqgnHtcp51ulU3cwwhdu383yWfncdPHCpJ/53E7C0TixuLZX8h7a30yux8mmBSUZPa50sQJSrTWdgTArZufzuZes5PP/2s07f7eFL123kreO0ClvJEdaellY7s/4/6NssDKjqTKkG+cX43Yqnj7axqXL0rswUd/RT2tveNz7k31uF/sbe9B64sse/V4X9IRGLQss9Xvp6o8QjsaH7DW1So1L/F56QlEisXjGSuxaekKcNUzgs2FeEX/fWs9bf/0cR1p6+d3bN485yzcRFpb7OXiqh7a+cMr/zzluJ6/fPJemriA/euhw1ubr1bUHmDuO8ULVxbn86q3nZPCIhnf5iko+dc1yrls7Z8jP3E5jbu9w3ZcnQmOX0RV6trnwV5Hvpb6jn/95+AiHm3v5zdvOSVowKfS5+eQ1y/jU33dx67NGx+psjn2xnD2vmOeOtbPcDGiKctPfcG/PyW5qSnwTPiN8Ikt2waiWePxQK1prexGlvc94LTMxwkhrTUNnv93j40xYGdJ1NdmpNEmlPN9LU4rFkVA0xlNHWnnlhqoJn4+cDhs3bvwBsC7NT7t9y5YtHxnD/RZjVKHeBDwPvB64EKNC9TPAXuAhrfXblVJFwHNKqQeAZuBKrXVQKbUE+BOw0XzO9Rh9fhqAJ4ELgCfS9O/KaJddBfwK2Ke1/l7C7RXmfx3A54Cfmz+6A7hRKeVVSi0AlgDPZer4xAAro1NTYnzgblpQSl84xqMHM18S/a179tPSE+KbN6wZcgFsZXys+Y5aax7e38yFi8uS9kRMZoU+N7G4JhCO0dkfoTjXw7kLS/nPhy6ipsTH88dPv1vskZZeFpVPv3JdgNVVhbx83Rw2Lxy68JDrcbGupsje85hO1my+wR12R5PrcdrlsIO7x2aa9XviH0OGFFI3LWo1y2it2b6dGSzbbekJ2Ytgg603V+23nOjgMy9ewYVLyjJ2HKdjYXkeR1r60JoRGwBZHcCtjHRtWyAj79fhnGjvm7AOxGeqxO/hvZcuGnYBZP3cImrbA1kL7hvNDKk1sqSiIIfjbX387JHDvGJ9VcpFsVefXcOGuUX86TljF9JkyPBfsaKCEr/HXmwrzHUTisbTOkJr18kuVs+Z+EDHCrLyJqCpERgZ0v5ILGnfY6ddspv+c2d7X5hgJJ6WsTnleV6UmjwZUoA11UXcvauRPz1Xm3T7luMdBMIxLl06NSriJpljWutdWus4sAd4UBtttXcB8zESg59WSm0HHgFygLmAG/iFUmoX8FdgZcJzPqe1rjefc7v5PGmTyd/eC4A3AbvMfzAYUfkSpdT7ze//AfwfgNZ6j1LqNoyoPQq8X2udvcnDM8iicj/feOVZvGSNsY/oqlWVVBZ4+b+njmd0r+aW4+384Zla3nHhgpTd3nzmBXZ/JEZ+jpsDp3po6ApmfD9KOlkflF39EboCEbv9usflYHah77QvsoKRGPUd/bxqQ83od56C/F4XP7hx/bA/P29RGT956BBd/ZG0jlTZVtuJz+20swhj5Uto0DPhGVKzHHC0i16r5Km1NzQkaG7pCbGg1G9nNjoC4Yx0XO0LRekLx4Z97qWVeZTne7l0aTnvuPD0KgcyaWFCI7WR/j97XA4KfW779/v7DxzkicOtPP/ZKzJ+jJFYnIbOINevnRoB6WisAGp7bSdXrKyc8L//ZGc/fo/TLgutyPcSjMQp8Xv4/EtXpnyMw6H47mvWce0PHyMYiY+6WDQRzp5XwtbPX2l/b503OwMRZhWe+fF1BSLUtgd47TkT/5lklaZPVOBvj35pD9jnskzuIW0YtChyJl69sYazqguZVTjx+8WH880bzqInGOHmf+xiX2M3b9g8j2Wz8nnkQDMep4PzF2d+3nQmjDGTmSmJF5fxhO/jGLFfDLhBa30g8UFKqS8Bp4C1GEnLxNR14nPGSHMMmckuu09orZXWeo3Wep355y6t9Q+11kvNP5/WCYOwtNZf1Vov0lov01rfnaljE8mUUty4aS755knd7XTwxs3zeOxgC0daMjfC4Fv3HqCqyMfHrlya8ufWRb7VAOih/c0AaS/TzKSChIC0sz+S1DW2LM9z2gHpsVYjS7OoYvJ3Gs6E8xaWEtfw3LH07iPdVtvBmurCce958iVccKbqvppJ1izS0TOkxnEN3keqtbb3dVrdjTO1j9R6vw8XkLqcDh7/5Iv41qvWTMoSrYUJFQmj7RUuS9ize7S1j46+cEbmPiaKxzX1Hf3E4npSlTqfidVzCnE5lN39eqI1dvUzu8hnvx+tRcUvXrdyxFnYC8r8fOGlq8jPcWWlWdRorFnPnf3p+V3fYzY0ykbTsQJzX2T+BJbsAkmNjayqkkwEpCc7jbLxqjQEpH6vi7PnTa4tT7keF79480Zev3kutz5by9U/eIwX//Bxbt/ewKYFJVnfgz1N3Qt80NoHqpSyMgCFQKOZBX0TMGGraRPSZVdMPa/bPBeP08Gtz9SOfufTVN8e4LxFpcOuauYmZEgBHtnfwsrZBZNqZW80iavQnYGwfREAxp6+4bqejsZaKJiuJbujWT+3CI/LkdYyyGAkxp6G7tOab2u9V5UaOl8z06wM6eh7SM0y0kGjX3pCUUJRYwZlsVmym6lZpFanxJGyrzlu56QMRsHYQ2oZLRNemue1A/ATbX1EzdL9TNFac8X3H+XFP3wcgHlTpGR3ND6PkxWzC7K2j7SxK5iUmbpu7Rz++M7NvCzFntfBXr95Ltu/cFVaqzjSxVoc7UpTeb7VYXd1QkOjiTLRJbvV5izSxIC0PYNNjRrMgDQdGdLJyu108LVXnMWzn7mcL123ErfLQXNPiGtWzxr9weJ0/DdGee5OpdRu83uAnwJvUUo9AywFJqwznyw7iJTK8rxsXljCU0daM/L8Wmva+sIjrjDn2HtIY3QFIrxQ28F7L1mUkePJFOuD8mRnP3HNoAypl85A5LQayBxu7kUppsQs1kzIcTvZOK84rfNI9zR0EY1r1o+zwy4MBKSlfk9G5+2N9HefbobUChLL8hIypBnaQ2oHpBMctKdLqd9jjHIKRkddeCjL83CgqYfOQNjOnnT1RzJWVljf0c/Rlj42zC2iONeTtfE4mbB+bhF/f6E+qcHdRGnoDLJy9kCQleN2cv7ise9tngyjNVKxF0vT1NhoR30Xcwpz7PPMRDp/URmvWF81YZ+HOW4nlQVeu9NuNGHGeCb2kDZ09pPjdtjj0Kazsjwvb71gAW+9YAFtvSH7M0mMndb6OLA64fu3DvOzd6d47CFgTcJNN5u3P4Kx19S63wfSdsAmyZCKYW2cV8KBUz32iTad+iMxQtH4iCebXLNkNxiO8eihFmJxPWXmj1qsD/3atr6k72GgyUz7aWRJj7T0UVOcS447+3uTsuW8haXsa+w+rdcvFSsDczoBqfX/oSLFKJBMswKc0QKdghwXbqcakpVPzFoW5w7f+CgdWkYp2Z3slFIsKM+jxO8Z0ql4MGvu64m2gSxKJs6llh31nQB8+WWr+dVbz5kUjXTSZf3cIvrCMQ41T+xc11A0RmtvyO6wO52kM0N6srOf+/ec4pIsbaepKcnl+69dN6HNDhNHvxid9I3bM9Flt6GrnzkJZeMzRWmed1pOERCpSUAqhrVxfjFak5FSKSuIKB0hQ+pLyJA+vL+ZEr+HdePsfpptVrMFa1B9YgCe2GRmvI4097KofGZmRy0XmB1YHz+Unm7Q22o7qS72nVZQae1xmej9o8bfbWVIRw5AlFKU+D20DXq/JQakPo+THLcjY3tIW3pCOBQjVkZMdpcuLee8haM32Sj1GxUQh5sH9uGf7sX/9rpOzvv6gzx5ePiKlZ31XXicjnHNKZwqrO7L9+4+RTye2X24iZq6jH4es4umzjaRsRrIkJ757/qPHjgEwAfN+bszQU1xrl2ym1hRkpk9pMG07B8VYjKTgFQMa11NEU6H4oXj6W0cAwMBafEIF6bWhXZfOMojB5q5ZGn5pC1/Gk5+jgulsLMkg0t2YWgJ5Wjicc3R1uk78mWs1lUXUZbn5b49p9LyfFtrO05r/ygMvFcrs5ghtZobjaTU7x3yfrMbDZnvx+JcT0ZLdkvzvFPu9zjRR69cyv+8YcOo9yvLN85t1igh4LTnPm490UFjV5C3/+Z5HhtmHNfO+k5WzM4fNXM7Fc0rzWV1VQHff+Ag1/zwMY5msNleIqu76XQMBvK8LpwOdcYjno609PK3rfW84dy503qP42A1Jbk0dgcJR+N2RYnLoejJRIa0s39avgeFSDT9PrlE2vi9LlbMzmfLifR3N7QCUmvuYSo+M+Pz9JE2OgIRLl1WnvbjyDSHQ5HvddkrqYkBqbXXZrwZ0oaufoKROIsqZnZA6nAorlxZySMHms94ll5jVz+NXcFxzx+1WNn8yZwhBaNMvDVFya7bqeyMSXGuJ6MZ0qm6f3S8Sv3Gv/OFEx12AN59mtmT+o5+fG4nC8vzeOfvtthdNy3xuGb3yW7WVBed0TFPVkop/vHeC/j+a9fS1hvmNf/7NPsauzP+9zZ2Ga/z7CnUSG+slFIU+dynvUhi+f79B/G6HLzv0pmTHQWjZFdro1zZup6pLvalfQ9pMBKjpSc0o4J9MTNJQCpGtHFeCdvrOonG4ml9XmtFscQ//MWpNfbl3j1NOBRcsnTqBaRgDCC39u0VJnbZNUt2x5shPdJi7Eed6RlSgKtXVdIXjp1x863tZ7B/FAbeqxM9gxTGPocUzH2NKUp2yxL26hT73RndQzpV94+OV7mZIT1wqocl5uLR6V7813cEqCnx8ZXrVxGOxjnSnJwhPNraS28oyprq6dPIaDCPy8Er1lfzl3efh9vp4LX/+zTbajM7Csbqbjod95CC8dl0Jk2N9jR0cefORt5+wYIZ83ttscYq1bYH6DTPlzUluWkv2bXKxiUgFdOdBKRiRGfPKyYQjrGvMb3NJKwgrGSkpkZm5qcjEOHsecUUTdFua4mNjBK/zve68Lgc486QWnvSZvoeUoDzFpWS53Vx7+6Bst1gJDbuC/9tdZ14XA5WzTm9C3pr3EBlFuYNjnUOKRh7tod02e0NJXWMLc71nHEZ33Cau0MTPhYnW6wMqdZwltnx9vQD0n6qi3OHbTq1s94YuTFdM6SJFlfkcdu7z6PY7+ENv3w2Y53gARq6gpT4PUlzhqeTIp/7jJoafe++gxTkuHjXxQvTeFRTQ03xQEDa3me8hnNLculNc0A6MPJl+mXphUgkAakY0cb5xp66LSfSu4+0IxDG6VDkjzA3zOtyYDWVm2rddRNZjY3yzADUopSizO+hddwZ0l6Kct1TujFMunhdTl60vIIH9p3ivj1NfOTP29j4/x7giu89Oq7mJ1tPdLB6TsFp779bV13EN284i0uz0GXSyt5UjqGssDTPS38kRiA8cNHU0pOctSzO9dCegQxpXyhKU3eQ+aXTYz7maMoSXtOF5Xnk57joPoMMaXWxb6Az6qDn2VnfRa7HyeIZUsZfU5LLX999HtXFPt76f8/z4L707CMfrLGzf1qW61oKfe7Tbmq0tbaDB/c3855LF03KOauZVpHvxeNyUG9mSL0uB+X5xvk1ksaKMqs8X/aQiulOAlIxotmFPqqKfGnfR9reF6E41zNiS2+llF0KedkUDkitD+tUH9qleV7a+saXIT3S3Mvi8rwZ1wJ+OFetrKStL8xNv3+BRw62sKjcT0tPiKbu4JgeH47G2XWy67QbGoGxn/W158zNSkOZs+cV8+SnLxtTCXeqMvHB+zqLc419ZbE0dzO1MvtLKqdfF9hU/B4nXvP9ML80l0Kf+7QC0q7+CN3BKNXFvoHOqIOyWjvqO1k9p3BKN4sar4qCHP5y03ksn5XPu3//Av/Z2Zj2v6OxKzhty3UBinI9p521v33bSXLcDt5y3vz0HtQU4XAoaop9ZoY0THGuh3xz8bkvjY2NrMZas6bxwogQIAGpGIOz5xXzwvEOtE7fBWp7X2jEhkaWXI+TOYU5LJvCF7HWRWRRiqHWZXmecZfsHmnpk/2jCa5eNYtPXbOc3759E89/9go+fe0KAI6ae21Hs7+pm1A0ftr7RyeDsa6eW6OGrD3NsbimrS+cnCH1e9D69MtLh3PwlFH2v7RyZrx3lVJ2efK8Uj8FOafXQOZkh5EhqS7Oxe10kOd1JQWkkVicvQ3dnDWN948Op9jv4dZ3bmZNdSGf/vvOM25uNtjJzv5pXSpZ6HOfVnm+1pqHDjRzwaKyaTXvdrysWaQdgQjFfo9d8ZXOfaQNnf2U53sndMaqENkgAakY1cb5xTR1B4d0djwTHWaGdDSr5hTyqrOrp3Q2cKSAtDRv6BiOkXQFIrT2hlhUIftHLR6Xg/deuohLlpbjdjrsvbVHxjgawpqzu+EMMqRThdVEzGps1BEIE4vrISW71s/S6XBzLx6ng7klM6NkFwYWAOZZGdLT6MBZ32F06K4uNhYdBpdZHjzVQygan9YNjUaSn+Pmv65eTk8oyr17mtL2vL2hKD3B6LRuJlOU66YnGB1308LDzb3Utfdz2YqpW7mUDjV2QBqmONdNgRmQns7v+XAauvqn9XtQCIsEpGJUZ88zLtRfSGPZbnsgbJcPjuS3b9/Ex65alra/NxsKrIDUN/TfW5pnNJkZa/b5SKvV0GhmZJlOR3m+l3yva8yzCrfVdlBZ4J3We8Uspf7kkl17BumgDClgd45Ml4OnelhY7sflnDkfO6V5Xsrzvfi9LgoTRmzE45o7dzbw0b9sp6Vn5AoJayGw2myiUuxPbkRjNTRaOwMaGg1n84ISqot9/O2F+rQ9Z2Pn9B35YrEWS8c7juih/c0AvCgLe+Ynk7lmV90TbX0U+z3keY3XszcYJRyNpyVjf7Kzn6ppnKUXwpKxKwOlVI1S6mGl1D6l1B6l1IfN29cppZ5RSm1XSm1RSm1KeMzNSqnDSqkDSqmrM3VsYnyWzyogz+tiy/E0BqTmnouZwApIC1NkSMvzvIRj8TFfEAx02JWAdDhKKRaW++3xOKPZWtvJ+priKZ2FHytrEajV3LdsBUPJGVLjfWp1jkyXg6d6WTqFS+9Px9sumM8nrzYW1BID0nf89nk+8Mdt/HPbSd752+fpDw9/4Vrf0U+ux2n/fynyeZJGdeys76Igx8W8GdIsKhWHQ3HDhmqeONxqdyU9Uw0zYNzGcE2yRvPQ/maWz8qf1q/NWNSY1R6tvUaGNLFk9+N/3cHrf/HMGT2/1pqGzn5paCRmhEwuVUeBj2utVwDnAu9XSq0EvgV8WWu9DviC+T3mz24EVgHXAD9VSknR/CTgdCjWzy1KW2OjWFzTGQjPmC6x1ip0ccqSXStjNbZ9pEdajLJHq3xPpLaoPG9MGdLW3hC17YEpvX90PHI9LnI9TjtDagWkg8e+QHpLdvtCUU529tvzOGeKi5aU8+qNNQAU+Fx09Udo7g7y8IEW3nHhAn7+xrPZebKLj/xl27Blk1aHXWvBpDDXnZS93lnfyZrqohmxoDKSV51djdbws0eOpOX5GmZAhtSq2hlPNURXIMKWEx1TutFguiRuPyjJHdhD2hEI89C+U2yt7bT3zp+O9r4wwUh8xgf+YmbIWECqtW7UWm81v+4B9gFVgAYKzLsVAg3m19cDf9Zah7TWx4DDwCbEpHD2vGIONHXTk4a9Ed39EeKaGReQpizZtfb09Y1+QRCMGPNg55flzqiyx9OxsNxPQ1cwabxJKtut/aPzpv/+UUtpnof2vuSANFXJbscY3pNjNdM67KZS6HMTjMR5+mgbANetncM1q2fxhZeu5N49p3jjLixctAAAn5FJREFUr56luWdoZ2hrBqmlKCHTGozEONDUM2P3jyaqKcnl7Rcs4PfPnOC+NOwlbezsx6GyM1t4olhVO53jyJA+dqiFWFxz+QzfPwoDGVIwOhZb86gfP9RKn1n18K9tJ0/7+a0OuxKQiplgQq5qlVLzgfXAs8BHgG8rpeqA7wA3m3erAuoSHlZv3jb4uW4yS323tLS0ZPKwRYKN80qI64EGMGfCCr5mWkCaqmTXyky1pthH1heK8usnjvG6W57hvK8/yPLP38NjB1tYPqtgyH1FMqukebROu9vqOnA5FKvnzJwL+lK/19472tITwud24vcMFKP4PU7cTkVjVzBtnbVnWofdVKzzwEP7m8lxO1g1x/g9ftsFC/juq9eyva6Tl/zoCZ41A9Zd9V187C/b2d/Uw4KygSZmRblGZ1StNfsau4nGtQSkpk9du4yzqgr5r7/tHLYJXzyux/S+bugKUpGfg3saL/4Vme/JrnF02n14fzPFuW7W1cycRbzh5Hld9nVMsd9tzxx/aH8zDgUb5hZx+/aGcc3ETiQzSMVMkvF+3UqpPODvwEe01t1Kqf8HfFRr/Xel1GuAXwFXAKnqjYb8FmutbwFuAdi4cWN6B+WJYa2bW4RDwZYTHVy8tHxcj91W28HJzn5eumYOMFAKOFP2kC4q93PuwhI2psjCldl7+gayUc3dQX7z1HH+8MwJuoNRVs4u4LyFpcwv8zOvNJeLlozv9Z+JFpoB6ZGWXlZXDX+xvq22kxWzC/B5Zs7ugLI8j73y3tIbojzfm1TuqZSipjiX3zx1nPv2NDGrMIdCn5uiXI/5XzdFCd8X5rpZObuAHPfwr+GhGdhhdzBrL/kjB1pYU12UFOjccHY1q6oKeN8ftvL6Xz7Litn57D7Zjd/j5I2b5/KBFy2271vk8xCNa3pDUbuh0ZoZ3NAokdfl5MevW89LfvQ4H/7TNv5807lDqkm+fvc+7tt7iv976zn2eSKVxq5+Zk/zZjJF5mfwqTHObI7FNQ8faOaSpeUzaubtSGpKcu2eGF6XA5dD0RuKsq6miDedN4+P/mUHL9R2cM78knE/t1U2LhlSMRNkNCBVSrkxgtFbtdb/MG9+C/Bh8+u/Ar80v64HahIeXs1AOa/IsjyvixWzC3jhRPuYHxOPa75wx27+8EwtAAvK/KyaU2iXC86UDGl+jps/33Reyp+V+Af2kB5u7uGWx47yr20NROJxrlk1i3ddvHBGjCNJt3mluTjUyBnSWFyzo66TG86unsAjy75Sv5ddJ41ApqUnlFSua7ntPedx355TPHO0jY5AmNbeMIdbeukMRFLO2FtU7uenbzibZbNSl+QemoEddgezAtKu/kjKxanlswq444MX8oXbd7O3oZvPvWQFrzmnxs66WOwyy0CEHfWdlOXNjA7RYzW/zM/XXnkWH/7zdn744CE+ntClPRbX/GPrSdr6wrz650/z27dvGnbBqqEzyMo507sapTjXzfJZ+fxnVyPvvmTRqPffXtdJRyDCZSsqJ+Dopoa5JbnsqOukONeDUor8HBcdgQgXLSnjqpWz8Ll3889tJ087IM1xO1L2nxBiuslYQKqMJfdfAfu01t9L+FEDcAnwCHAZcMi8/Q7gj0qp7wFzgCXAc5k6PjF+G+cV89cX6onG4mO6sNxW18kfnqnlNRuruXt3Ez968BD/+6aNMy4gHYnLaXzY/Pap4/zggUPkuB289pwa3nHhAuaXyazR05XjdlJdnDviLNKDp3roC8dmXMCfOGqotTfEwrKhWaKyPC+v3zyX12+eO+RnUbMrdGcgTGd/hNq2AP/vP/u49oePUeBzk+d1DfzJceH3unjhRAeXzvAREVbJLhiznVPJ87r43mvWjfg8RQmB7a76LtZUF874hkaDXb+uiicPt/KThw9z7sJSLlhcBsCO+k7a+sJ89Iql/OX5Wl53yzP8+m3nDAkWrO6mV0zzfZJKKV57Tg1f/vde9jZ0jxqAP7y/GadDcYlU6dhqzAaD1vVMfo6bjkCECxeX4fe6uHJlJXftauRL163C4xrfgpw1g1R+v8VMkMnl6guANwGXmSNetiulXgy8C/iuUmoH8DXgJgCt9R7gNmAvcA/wfq31mQ9xEmlz9vwSAuEY+5vG1jVuW63RlfcTVy3j7Rcs4N49p9jb0C0B6SBLKvJRSvHRK5by1Kcv579fvlqC0TRYWO4fMUNq7YeeKR12LSV+o+Szuz9KS0+Isvzx/R66nA5K/B4WluexYW4xL19fxV0fvpAPXLaEl62dw6b5JcwtycXjctDeF2ZfYzd+r4srVs7srEpiQHomiyBWmWV9Rz+HW3pl/+gwvvSyVSws8/ORv2y390w/uO8UTofirefP52/vPZ/yAi9v+tWzPHKgOemxHYEIoWic2YXTv1Ty5euq8Dgd3LalbtT7Pri/mbPnFqfshzBTXbK0nHPmF9vNr/K8Rifz9ebv+CvWV9EZiPDowfH3PDnZGZT9o2LGyFiGVGv9BKn3hQKcPcxjvgp8NVPHJM6MVWa25Xj7iPvyLNvqOqkq8lFRkMPbL1zAr588xo8ePER1sY9cj3PEPWczye/fuQmFGvfqqRjZovI8njnaRjyucaTY77SttoMSv2fG7Wu0Gmk1dQfpCEQozzvzcs+K/Bw+duXSM36e6cwKSJdU5NlB5emwZkc+ebgVrWGt7B9NKdfj4iev38D1//MkH79tB//31nN4cF8zG+cZAVVhrpvb3n0eb/n1c7zrd1v4/mvX2X0OBvbuTf9S6GK/h6tXz+Kf207y6WuXp/xcjsTifOPu/exrNErJxYDNC0v563vOt79fW1PEWVWF9uf5hUvKKPF7+Ne2k1w5zkW5hs5+ls/wyhIxc8gVsBizOUU+5hTmjHke6fbaTjv7VOhz87YLFnDPniaeOdY2YxoajYXX5ZRgNAMWlvsJRuI0DtOwY2ttB+trZt78Rmv27QGz822qPaQi/ay9oMOV646VVbL7+CEj43KWZEiHtWJ2AV946UoePdjCV+7cy/6mHq5I2P9YluflTzedy7qaIj74p2386Tmj38FMaybz2o01dPVHuDfFuJzm7iCv/8Uz/OqJY7z1/Pm8+bz5E3+AU8jXX3kW33zVGvt7t9PBS9fM5oF9p8Y1Ni8YidHSE6JKZo6LGUKugsW4nD2/hBfGEJCe6g5ysrPfLlsBeMcFC8j3uth9slvKdUXGWaNfjjQP3UfaFYhwpKVvxpXrwsDs2/2N3YAEpBPF43Lw1Ves5p0XLTyj57GaIx1vC1BV5LMz3iK1N2yey7WrZ/Gbp44DcNmgfaEFOW5+9/bNXLK0nJv/sYv/ffQIjV3GItZMKNkFOH9RKdXFviFlu88ebePFP3qC3Se7+eGN6/jSy8a/D1IYe5pD0Tj37B77fNymLplBKmYWObOIcdk4r5jGruCwM94sqfbnFea6edsF8wHZPyoyb2G5sQ/3aIrGRtvrO4Ez28s3VVmjhqy94BKQTpw3bJ5nL5Scrhy3E59ZVin7R0enlOIbN6yhqsjHwnI/C1Psz/d5nNzypo28ZM1svn73fm557Cgep4PSGfI55XAoXrOxhicPt1HbFkBrzS2PHeH1v3yWghwXt3/gAq5fN2QsvBijDXOLmFuSy+3bxz44YiaVjQsBEpCKcbK6EX7+X7vtFbxUttV14HEODH+3vP1CI0s6q0BOsiKzyvO85Oe4OJKisdG22g6UgjU1RRN/YFlWbF5kS4Z06rL2kcr80bEp9Ln5+3vP57dv2zRsib7H5eBHN67ndZtqONlpzCBNtfd8unrV2dU4FPz6yWO879atfO2u/Vy1spLbP3ABSytTj3MSY6OU4uXr5vDkkdYxzXyNxzVPHmkFkKZGYsbI6BxSMf2snFPA516ygm/fe4Arv/con7p2Oa/fNHfIB/e22k5WzinA60pukFCU6+Gf7z+fQt/MWHkW2aOUYmF5Hkdbh2ZIt9V2sqwynzzvzDsFup0OinLdNJgLSlbGVEwdhT43jV1ByZCOw6wxzGp1OhRfe8VZVBfn4ppBwSgYpaEXLy3nN08dx+lQfPbFK3jnRQtm3B77TLl+fRU/eugw/97RMGzZvtaaRw+28M17DrCvsZtN80skIBUzxsy7GhNn7J0XLeTKlZV85p+7+Ny/dnP79pN8/ZVrWFxhlKJFY3F21ndy4zlDZxgCLK6Q1VYxMRaV+3nqcFvSbfG4ZlttBy9ZMztLR5V9pX4PnYEIBTmuIYtGYvKzMqRj6XYuxkcpxftftDjbh5EV771kEW29YT73khVsXlia7cOZVhaV53FWVSH/2n4yZUC6o66Tb9y9n6ePtlFT4uOHN67jujVzZlSWXsxsUrIrTsu8Uj9/eMdmvv2qNRw81cuLf/g4P3rwEOFonH9sPUkwEmfDvJm3P09MLovK82jqDtIbitq3HW3tozsYTWq4NdOUmo1wpFx3aqoqymX5rPyk2aZCnKnNC0v59wcvlGA0Q16+vordJ7s53Dwwy/1oSy/vu/UFrv+fJzl4qocvv2wVD37sUq5fVyXBqJhRJEMqTptSildvrOHSZRV85c69fO/+g/xz20lOtPVxweJSrl41vplbQqTbIrOx0bGWPns8xrZao0v0hhnYYddiNWuRgHRq+sJ1KwlH49k+DCHEOFy3djZf/c9e/rWtgU9cvYxbHjvCN+85gNfl4MOXL+FdFy+ckdtIhADJkIo0KM/38uPXrefXb91IKBJj47wSfvHmjVIKKLJuodnRNHEf6ba6TvJzXCwsO7Nup1OZNYu0PF+ai01FhT63LCYIMcVU5OdwweIybt9xku5ghO/ff4gLFpfx6H+9iI9euVSCUTGjybtfpM1lyyt5/FMVKJBSEzEpzCvNxaGSZ5Fuq+1kXU3RjH6PWrNIy2WGpRBCTJjr11Xxib/u4Cv/3kt/JMbHrlwqi0tCIBlSkWZOh5rRF/picvG6nNSU5HKk1Rj90huKcqCpe0bOH01Uliclu0IIMdGuXlVJjtvB316oZ2llHmulU7YQgASkQohpbmGZ386Q7qzvJK5h/QzePwoDTY1k5IsQQkyc/Bw3V6ww+mu8ZmONjNURwiQBqRBiWltUnsex1j5z3EsnAOtqirJ6TNk2x5xtV1UsM+6EEGIive2C+ayuKuCVG6qzfShCTBoZC0iVUjVKqYeVUvuUUnuUUh82b/+LUmq7+ee4Ump7wmNuVkodVkodUEpdnaljE0LMHAvL8whF45zs7GdbbScLy/0U5c7szODa6kL+9p7zOE/GOwghxIQ6e14Jd37wIkr8M/tzSIhEmWxqFAU+rrXeqpTKB15QSt2vtX6tdQel1HeBLvPrlcCNwCpgDvCAUmqp1jqWwWMUQkxz1uiXo619bKvt4NJlFVk+ouxTSrFxfkm2D0MIIYQQInMZUq11o9Z6q/l1D7APqLJ+rozC+dcAfzJvuh74s9Y6pLU+BhwGNmXq+IQQM4M1+uWRA8209YXZMK8ouwckhBBCCCFsE7KHVCk1H1gPPJtw80XAKa31IfP7KqAu4ef1JASwCc91k1Jqi1JqS0tLS4aOWAgxXZTleSjIcXH79gYA1tfM7A67QgghhBCTScYDUqVUHvB34CNa6+6EH72OgewoQKpWY3rIDVrforXeqLXeWF5ent6DFUJMO0opFpbn0d4XJtfjZGllXrYPSQghhBBCmDIakCql3BjB6K1a638k3O4CXgn8JeHu9UBNwvfVQEMmj08IMTMsMst211QX4nJKc3EhhBBCiMkik112FfArYJ/W+nuDfnwFsF9rXZ9w2x3AjUopr1JqAbAEeC5TxyeEmDkWmo2NNsyVcl0hhBBCiMkkk112LwDeBOxKGO3yGa31XRjddBPLddFa71FK3QbsxejQ+37psCuESIfFFUaGdL0EpEIIIYQQk4rSesg2zSlj48aNesuWLdk+DCHEJBeOxvn71npefXa1lOwKIYQQ4kyk6nsjzkAmM6RCCDEpeFwOXrdpbrYPQwghhBBCDCKpAiGEEEIIIYQQWSEBqRBCCCGEEEKIrJCAVAghhBBCCCFEVkhAKoQQQgghhBAiKyQgFUIIIYQQQgiRFRKQCiGEEEIIIYTICglIhRBCCCGEEEJkhQSkQgghhBBCCCGyQgJSIYQQQgghhBBZobTW2T6G06aUagFOpOGpyoDWNDyPkNcy3eT1TC95PdNHXsv0ktczveT1TB95LdNLXs/0ysbr2aq1vmaC/85pbUoHpOmilNqitd6Y7eOYDuS1TC95PdNLXs/0kdcyveT1TC95PdNHXsv0ktczveT1nB6kZFcIIYQQQgghRFZIQCqEEEIIIYQQIiskIDXcku0DmEbktUwveT3TS17P9JHXMr3k9UwveT3TR17L9JLXM73k9ZwGZA+pEEIIIYQQQoiskAypEEIIIYQQQoiskIBUCCGEEEIIIURWSEAqhBBCCCGEECIrJCAVQgghhBBCCJEVEpAKIYQQQgghhMgKCUiFEEIIIYQQQmSFBKRCCCGEEEIIIbJCAlIhhBBCCCGEEFkhAakQQgghhBBCiKyQgFQIIcSUo5T6pVJq5Wk8rkgp9b40HcPHlFJ7lVI7lVIPKqXmpeN5hRBCiJlEaa2zfQxCCCHEhFBKzQfu1FqvTsNzvQh4VmsdUEq9F7hUa/3aM31eIYQQYiaRDKkQQohJSSk1Xym1Xyn1WzML+TelVK75s0eUUhuVUu9VSn0r4TFvVUr92Pz6Y0qp3eafj5h3+QawSCm1XSn17TM5Pq31w1rrgPntM0D1mTyfEEIIMRNJhlQIIcSkZGYzjwEXaq2fVEr9Gtirtf6OUuoR4BPACeBprfVi8zF3A18F+oHfAOcCCngWeCPQwQgZUqXU40B+ih99Qmv9wAjH+hOgSWv9/07jnyqEEELMWK5sH4AQQggxgjqt9ZPm138APgR8x/qh1rpFKXVUKXUucAhYBjxp3u+fWus+AKXUP4CLgDtG+su01heN9wCVUm8ENgKXjPexQgghxEwnAakQQojJbHAZT6qynr8ArwH2YwShWimlTucvG2+GVCl1BfBZ4BKtdeh0/k4hhBBiJpOAVAghxGQ2Vyl1ntb6aeB1wBMp7vMPjKDwBPAp87bHgN8opb6BUbL7CuBNQA+pA05gfBlSpdR64H+Ba7TWzWN9nBBCCCEGSFMjIYQQk9k+4C1KqZ1ACfCzwXfQWncAe4F5WuvnzNu2YuwhfQ5j/+gvtdbbtNZtwJNmo6MzamoEfBvIA/5qNkkasRxYCCGEEENJUyMhhBCTUjpHtAghhBBicpIMqRBCCCGEEEKIrJAMqRBCCCGEEEKIrJAMqRBCCCGEEEKIrJCAVAghhBBCCCFEVkzpsS/XXHONvueee7J9GEIIIYQQQoiZ4bTmXIvhZSxDqpTKUUo9p5TaoZTao5T68qCff0IppZVSZQm33ayUOqyUOqCUunq0v6O1tTUThy6EEEIIIYQQYgJkMkMaAi7TWvcqpdzAE0qpu7XWzyilaoArgVrrzkqplcCNwCpgDvCAUmqp1jqWwWMUQgghhBBCCJElGcuQakOv+a3b/GO19P0+8MmE7wGuB/6stQ5prY8Bh4FNmTo+IYQQQgghhBDZldGmRkopp1JqO9AM3K+1flYp9TLgpNZ6x6C7VwF1Cd/Xm7cNfs6blFJblFJbWlpaMnXoQgghhBBCCCEyLKMBqdY6prVeB1QDm5RSa4DPAl9IcfdUG4SHDEnVWt+itd6otd5YXl6e1uMVQgghhBBCCDFxJmTsi9a6E3gEoyx3AbBDKXUcI1DdqpSahZERrUl4WDXQMBHHJ4QQQgghhBBi4mWyy265UqrI/NoHXAFs01pXaK3na63nYwShG7TWTcAdwI1KKa9SagGwBHguU8cnhBBCCCGEECK7MtlldzbwW6WUEyPwvU1rfedwd9Za71FK3QbsBaLA+6XDrhBCCCGEEEJMX0rrIds0p4yNGzfqLVu2ZPswhBBCCCGEEDNDqr434gxMyB5SIYQQQgghhBBiMAlIhRBCCCGEEEJkhQSkQgghhBBCCCGyQgJSIYQQQgghhBBZIQGpEEIIIYQQQoiskIBUCCGEEEIIIURWSEAqhBBCCCGEECIrJCAVQgghhBBCCJEVEpAKIYQQQgghhMgKCUiFEEIIIYQQQmSFBKRCCCGEEEIIIbJCAlIhhBBCCCGEEFkhAakQQgghhBBCiKzIWECqlMpRSj2nlNqhlNqjlPqyeft/K6V2KqW2K6XuU0rNSXjMzUqpw0qpA0qpqzN1bEIIIYQQQgghsi+TGdIQcJnWei2wDrhGKXUu8G2t9Rqt9TrgTuALAEqplcCNwCrgGuCnSilnBo9PCCGEEEIIIUQWZSwg1YZe81u3+UdrrbsT7uYHtPn19cCftdYhrfUx4DCwKVPHJ4QQQgghhBAiuzK6h1Qp5VRKbQeagfu11s+at39VKVUHvAEzQwpUAXUJD683bxv8nDcppbYopba0tLRk8vCFEEIIIYQQQmRQRgNSrXXMLM2tBjYppVabt39Wa10D3Ap8wLy7SvUUKZ7zFq31Rq31xvLy8gwduRBCCCGEEEKITJuQLrta607gEYy9oYn+CNxgfl0P1CT8rBpoyPSxCSGEEEIIIYTIjkx22S1XShWZX/uAK4D9SqklCXd7GbDf/PoO4EallFcptQBYAjyXqeMTQgghhBBCCJFdrgw+92zgt2anXAdwm9b6TqXU35VSy4A4cAJ4D4DWeo9S6jZgLxAF3q+1jmXw+IQQQgghhBBCZJHSesg2zSlj48aNesuWLdk+DCGEEEIIIcTMkKrvjTgDE7KHVAghhBBCCCGEGEwCUiGEEEIIIYQQWSEBqRBCCCGEEEKIrJCAVAghhBBCCCFEVkhAKoQQQgghhBAiKyQgFUIIIYQQQgiRFRKQCiGEEEIIIYTICglIhRBCCCGEEEJkhQSkQgghhBBCCCGyQgJSIYQQQgghhBBZIQGpEEIIIYQQQoiskIBUCCGEEEIIIURWSEAqhBBCCCGEECIrMhaQKqVylFLPKaV2KKX2KKW+bN7+baXUfqXUTqXUP5VSRQmPuVkpdVgpdUApdXWmjk0IIYQQQgghRPZlMkMaAi7TWq8F1gHXKKXOBe4HVmut1wAHgZsBlFIrgRuBVcA1wE+VUs4MHp8QQgghhBBCiCzKWECqDb3mt27zj9Za36e1jpq3PwNUm19fD/xZax3SWh8DDgObMnV8QgghhBBCCCGyK6N7SJVSTqXUdqAZuF9r/eygu7wduNv8ugqoS/hZvXmbEEIIIYQQQohpKKMBqdY6prVeh5EF3aSUWm39TCn1WSAK3GrdlOopBt+glLpJKbVFKbWlpaUlA0cthBBCCCGEEGIiTEiXXa11J/AIxt5QlFJvAV4KvEFrbQWd9UBNwsOqgYYUz3WL1nqj1npjeXl5Jg9bCCGEEEIIIUQGZbLLbrnVQVcp5QOuAPYrpa4BPgW8TGsdSHjIHcCNSimvUmoBsAR4LlPHJ4QQQgghhBAiu1wZfO7ZwG/NTrkO4Dat9Z1KqcOAF7hfKQXwjNb6PVrrPUqp24C9GKW879daxzJ4fEIIIYQQQgghskgNVMxOPRs3btRbtmzJ9mEIIYQQQgghZoZUfW/EGZiQPaRCCCGEEEIIIcRgEpBOMoFwlJ31ndk+DCGEEEIIIYTIOAlIJ5nbnq/jhp89RSAczfahCCGEEEIIIURGSUA6ybQHIkRims5AJNuHIoQQQgghhBAZJQHpJNNvZkZ7gpIhFUIIIYQQQkxvEpBOMoGwMemmOygZUiGEEEIIIcT0JgHpJNNvBqQ9EpCKSe5wc0+2D0EIIYQQQkxxEpBOMv0RM0PaLyW7YvLaWd/JFd97jO11ndk+FCGEEEIIMYVJQDrJBCRDKqaA5u4QAHXtgSwfiRBCCCGEmMokIJ1k+u09pJIhFZNXwMzkt/aGsnwkQgghhBBiKpOAdJIJRIxAVJoaicnM6gbd1hvO8pEIIYQQQoipTALSSWagqZFkSMXkZZWWt/VJhlQIIYQQQpw+CUgnGbtkt18ypGLysgLSlh7JkIrJpa49wMXfelj2NwshhBBThASkk4y1N08ypGIy65cMqZikdp/sorY9wNbajmwfihBCCCHGIGMBqVIqRyn1nFJqh1Jqj1Lqy+btrza/jyulNg56zM1KqcNKqQNKqaszdWyTWcBuaiQZUjF5We/TwU2N6toD3LmzIRuHJAQw8J6sbZMMqRBCCDEVZDJDGgIu01qvBdYB1yilzgV2A68EHku8s1JqJXAjsAq4BvipUsqZweObdGJxTTgaByRDKia3wDBNjX7/zAk+9KdtxOI6G4clBK3me7KuQwLSdPmfhw9LxlkIIUTGZCwg1YZe81u3+UdrrfdprQ+keMj1wJ+11iGt9THgMLApU8c3GfWb5bow8h7Sxw62cPM/dk7EIQmRkpUhDYRjdnAK0NEXJq6hIyB7S0V22BlS2UOaFoFwlG/fe4C/bqnP9qEIIYSYpjK6h1Qp5VRKbQeagfu11s+OcPcqoC7h+3rztsHPeZNSaotSaktLS0tajzfbrAt7n9s5Yob098+c4E/P1UkWKk2CkRhfv2sfPVImPWZWQArJWdIucyFFxsGIbLEC0rr2/iwfyfRwrLUPgFPdwSwfiRBCiOkqowGp1jqmtV4HVAOblFKrR7i7SvUUKZ7zFq31Rq31xvLy8jQd6eRgNYqZVZhDfyRGJBYfcp9YXPPs0TYA+sJS1psOTx1p5X8fO8qTh1uzfShTRn9k4L2XuI/UDkil2dGonjvWzh+frU35s0Onerj4Ww/T0ClB1XhZiyENXf32Fghx+o62GAFpU5cEpGLqicc1X7x9NzvqOrN9KNNKdzDCOV99gKeOyHWTSI8J6bKrte4EHsHYGzqceqAm4ftqYEZ1R7GyThX5XiD1PtJ9jd10m7f3hSQgTYfDzUZleVufZPXGKhCOUehzA8nZUOu9KRnS0f3+mRN87a59aD200uHhA83UtgfkImqMjrT00mmWibf2hnA6FFrDSQnoz5gVkEqGVExFzx9v57dPn+DePU1Jt2+t7ZB90WegobOflp4Qexu6s30oYprIZJfdcqVUkfm1D7gC2D/CQ+4AblRKeZVSC4AlwHOZOr7JyNpDWlmQA6TeR/r0kTb7675QbMjPxfgdaTYuuCSIGrv+cIyaEh+QnCHttkt2JUM6ms5AmN5QlI7A0N/znfVdAJyQfZBj8tr/fYYfPngIMJoarZidD8g+0nQ41jqwYBeKymeOmFpu32HkNdoHLTh/6Y49/Pede7NxSFPGCyc6eM/vXyCaolqv0/zc6kzx+SXE6chkhnQ28LBSaifwPMYe0juVUq9QStUD5wH/UUrdC6C13gPcBuwF7gHer7WeUZ9+iSW7kDpD+vTRxIBUMqTpcKTFvOCSIGrMAuEYNcW5QHJm2SrZHfzhL4ayPsjrUgRNdkAqo0tG1dUfobU3RF17gGAkRm8oyvqaYkAC0nQ4au4hBWjulnOkmDrC0Th37WoEhlZAHW/tkzL0UTx2sIV79jTR0Dn0dbI+v6SBoUiXMQekSin/eJ5Ya71Ta71ea71Ga71aa/0V8/Z/aq2rtdZerXWl1vrqhMd8Vf//9s47vLGzyv+fV92Si9zHZTweT+99Uia9kAIpEFroNdRdWOC3C9tgWdils/QQOiwQ2NASIAkhpPfpvc94bI+7LVu2rP7+/rjFki3XkSzZfj/P48e2mq+ur+59zznf8z1SLpFSrpBSPjiVvzcXGC3ZTc48RWNxXjrTQ0O59q9QPaTpwQhIuyYIok51DtDapySAoB2rXreDAqeNTr+2SI3G4gzoSZKJ9qUCfEOpx5P4AmEzkDrXMzjqeYpkWnq1z2Rbf9Cs1q+pLsRhs9DUE+B/n2/ks39SlZDpIKXkdOcg9aVa8knJdhWziadOdOILRHDZLUkJZ18gTH8wSoc/RFyZQ46J4QXR7Bud2OvTr1++cSZCKBRTYcKAVAhxqRDiMHBE/32DEOLbGd+yeYjhsmtKdkcEpIfO9+MPRbluVSWgJLvjEYzE+NyDR+mdIDDqGQybksmJKqQf/MUe/uvP46nO5w9D4Shuh5XSfIeZee5PqOiravPE+Aa1425kFc+ojlYUOFWFdBI06wF9e3/InEFaXuBkYXEev3qpiX/9/UF+PoZ5lGJ8Ov0hBkJRLllSBmhBv0IxW/jD3vMUu+1cvaIiSbVjnHNjcUmXMuAbE9MgbpwKqU9VSBVpYjIV0q8CNwDdAFLKfcAVmdyo+UpwZA/pCMmuIde9dmUFQNL8R0Uyu8/1cvcTp7jnqdPjPs6ojnoc1gl7SDv9QTr9akEmpSQQieFxWCnNd5rBZ19CplRJdscnEovj16vJI8eTHGjRAtKb11Vx3qecYieiWa+Qdg2ETAleWb6TuhI3fUMRKgqcBMIx8/yqmDyndEOjS5eUAsppVzF7GAxFeeRwOzevq6Ky0JUk2U1M9LX3qYB0LIw1kaFCScSojKoeUkW6mJRkV0rZNOImdWXPAIZkd8EYpkbPnepmaUU+9WWaZHdA9ZCOiSEj/cUL58YN3E/pDrtb6kvGddmVUuILROgfUvs8GIkjJeQ5bJTlO0yZpBGQuicR3M93EoP3kT2k+5p8LC7zsLamiLgcrgAqUmM46UoJR9s0x8fSfAfvvqKBT96ymr+/dhmgFk7T4bRuaLSpzovTZlGSXcWs4ZHD7QxFYty2sYZSjwN/MGqaciWqUlId0y2+Ib7x6ImUDujzCaN6nGr8mDI1UqSbyQSkTUKISwEphHAIIT6GLt9VpBcjIC0vcCJEsqlRJBZn59keLmkoxe2wAsrUaDyMgLRvKMJvdjWP+bhTnQM4bRbW1xTRGwindJMD7X8TjctRMur5iBHgu80KqRZ8GkHW4jJPkvOuYjTGRdxuFaN6SA+09LGupohFet+ectodn8SA/ZA+gqAs38mlS8p4+47FlHocgDLfmA6nOwdx2S1UF+WxoMhFmzI1mhZSypTmZYrM8Ye9LVQXudi6qJiSfP0coLdJNHYPYrcKILUM/ZFDbXz5keOm+iLXOdcd4OsZCKDNCmmKgNTsIVXnVUWamExA+l7gA0AN2qzQjfrvijQzFI5hEeCyW8h32JKCnwMtfQyGY1zcUIrbYQNUD+l4dA2EsVsFGxZ6+eEzZ8c0LjjVOcjiMg8VhU6kJOUIDhiWp6QaxTPfMBIneQ4rZflOevRA3ghIG8rz6Q9GldR0HIyL+MoFhbT0DhHTj88Of5DWviDra4tYVKIFpOdUH+m4NPcOUa4bwR0+30+B04bLbjXv97qNxahaOE2V050D1Jd6sFgElYUuVSGdJn872sEVX3xMzWycIboHQjx5ootbNlZjsQgzKWWY9DR2B1hTXYRFpK6QRmLa+ThVZTAX+dOBVr7yyHE6p5EIllKmXB+Fo8PX9FQBqZFUHQzH1LVekRYmDEillF1SyjfqjrgVUso3SSm7J3qeYuoEwjHy7FaEEBTm2ZPkocb80YsbSrBaBHl2q6qQjkOnP0RZvpN3XbaYM12DPHGiM+XjTnUOsKQin1KPtqAdq/exTz/5+kPRee/KZ8zLdTuslOU7zEA+sUIKqiI1HkbiY11tEdG4NN2bD+iGRutrvZQXOMmzW5Wx0QQ09w6xpU4b89LiG6JUr4YYlJgVUpVMmiqnuwZZUp4PaK0k7f1Bnj7RxS3feFpV/KbA86e7kRL+drQ925syL/jzwTZiccltG2oAKNGv70bFr6knQEOZh/ICZ8qANKpf41tnSc+0UbyYTsL8g7/Yw0d+vXfU7cb1u8Bpo8U3NKr6mijVNRzjFYoLYTIuuz8SQvxw5NdMbNxs5MEDrZztmt6ohqFIjDy9+llR6EzKzj1/upsVlQWU5msnVo/TxmBYVUjHomsgRHmBkxvWLMDjsPLXw6MXAsFIjKaeAEvL881F7FjusEawJSWmGc18xaiQuvUKKWiZZ+NiuEQfSzTdPtLpfn5mE0aFdH1NETDc07SvuQ+L0MaWCCGoK3GPO/plIDR/KtGDoSgf/fU+/vG+feZt/UEtEbJhoRerRZPgGcekQbHbDkCPSpBMiJTSbFvwByM09QTMz3NloZNWX5D3/XwXB1r6+PXOkdYSirHY2+QD4MnjXdndkHnCXw61saTcw6qqAgDz+t4zGCYUjdHaH6Su1E1lYWoZuvEZOD9Lxrz1X4DB0P4WH38+2DaqwGG03aytKSIcjZsO5gZ9Q9o4nen+XYViJJOR7P4R+JP+9ShQCAxkcqNmK1JKPvSrvfz42bPTer4xSgOgoSzfNJQIR+PsPNvLxQ0l5mPznapCOh6d/hDl+U4cNgs7lpbx+LHOURm+xu4AcQlLKvIp0y9YY83P7EvIAM532a7RQ5pnt5lSqC5/mP6hCE6bhaqiPGBYHjUV9jb5uOpLj3NQd5qdq/gSKqQAzT1GhdTH0op8PE4tMVVX6h63Qnr7t57hCw/N/VFEA6Eod3znWX6zu5kH9rWan2XD/bGuxG3Obx4ZkBqSXZ+S7E7IJ+8/xKu+8yzRWJxHj3QQl3DlinJAc38Px+LYrRbW1xbx290t814tMhmisTgHWvqwWwW7z/WOmi+uSC/RWJxdjb1ctrQMIbQk1bBkN0xTzxBSwiI9IO1IJdnVj+vZ4iptTGTom+LaREpJR3+IcDTOk8eTVWRGQnm9fo0aKdvtG4qwqERXQ6lzqyINTEay+5uEr58DrwXWZn7TZh9G39x0m7wD4dhwQFruob1fmwF3tK2foUiM7YtLzce6HTYVkI5D10DIXJhevbKCFt8QJzqS8yjGyJcl5R5TsjtRhRRGz4edbwwlVEiN3r3OgSB9QxGK8uwJ1eapfw6GZ0rOjoXAdPENhbFaBMsrC7BaBOd6AkgpOdDSx/par/m4RSVuzvUEUi78+wIRTnYM8NLZnhnc8uzw/Klujrb5uWxpGUORGO16VcMISGuL88xxWWUFyZJdh81CvtOmJLuTYF+Tj/3Nfdy3q5k/7m9lQaGLTQs1OfTamiIKnDbuftMW3rFjMS2+oXlx7BlIKbntm0/z291jm+Sl4li7n2Akzqu3LCQal2b7jSIzHDrfTyAcY9vi4QR+ocuO1SLoHgiZipO6Eg8LCl0pTY1icb1CmmL+Zi4y3Qpp/1CUkK6weWSEisxIKBvXo0TFXiQWZyAUpb5M8znwzfMkvSI9TGrsywiWAXXp3pC5gBHMTPfDORSJmWYcDXof3pnOQc7oEsZllfnmY/OdNgbVHNKUxOOS7sGwGSxdpWf4HzvakfQ4Y+RLQ1k+RXnGBSt1EJV4op+No1+6BkK87Ucv0th94XLYRMmuEQS09YXMgLTMCO6nkTU1Av+5PtKoNxDBm2fHbrVQVeSiqTfA+b4gXQNhMyMNsKjMQygap8M/OlFyvMMPwNE2/5ju0LlMt35MpqpQjMSQzr1qs9YTZpwTjQRGTXEelYXacWcklxLxuu1mT9R9u5o5dH5uV+CnS5Me4H/5keM8eaKTm9dVYdGl0Bc3lLLvky9j++ISXramEo/Dyn3jOJjPNboHw+xr7mN/89SOHUOu+87L6nE7rDx1IrVsVznxTo2hcCylq+yLZ7Qkyfb64YDUYhGUeBz0DIZ57lQ3dqtgeWU+lYVOfIHIqBnF0ZjRQzpLJLt6knyqFdIOfa56gcvG3451JF1HRlVIExyHjb9TX6qtUydThJnvI3QUEzOZHlK/EKLf+A48APxT5jdt9mEY4kz1pGAwlFQh1YLP010DnOkaRAhNlmbgdlqVy+4Y9AbCxOLSlOFWFeWxckEBfxsZkHYOUOPNI89hNS9YY8lME/+n0/3/ZpMfPXOGx491jrkYmgrm2BenDY/TRoHTRnu/ViEtzLNTmGfDpmejp4rp3DfHj+2+QASv3ttYp1dBDzT7AEZVSAH+fKB11Gscb9cC0lA0bgZos4mdjb08fqyTvx7pmPCxLb4hHFYL2/RF5tluIyAdwmW3UOpxJFRIRwekJR4HvQGtf+zjv9nPPU+eTuM7mRsMhqL0DIa5blUFnX5Nxvfy9VVJjzGCU7fDxis31/Cb3c1mADDXMYLFqSpk9p7zUey2s6Q8n0saSnlyDIO9Hz5zlsu/8BjfefzUBW/rXKWjP8jPnjvLG773PGs++RCf+O2BUYHOi2d7qC91U6GfDwxKPQ66BsL8+UAbly8rp8BlN88ZHSP6SCOxWWZqZFRIp7g2MZQmd2yuxReI8NLZXvO+7kFtUkFtcR75urGRgXGdri/zJP0+Fj2DYdZ/6i/K1EsxLpOR7BZIKQsTvi+XUv5mJjZuttE1cGEBaaJkd1GpGyG0sSRnuwapLspLGmXgURXSMTGsz8sLhi9IN62t4oUzPfxuz3BG/1TnIEsqhqvOxgUrFbNZsjsQivKz5xqB5IHg08WskOrHY2WRi7a+YcmuYcZzpHX0iIOhCYy4hiuks2sfT5XeQNjsbawrcXOqY4CnTnRhswhWLigwH3dRQwmXLinl0388zBcfTu4VPdE+LEE/nGJf5zqGLHvPud4JHqlJ56q8Lqq9eTislqSAtLbYjRDCXFyWj3DZBa2PtHcwzIn2AaJxyenO2RfAZxpjwXnrxhpesb6KxWUeNi30jvn4j9+0iroSN3//yz1J7uQHmvtm3TlyMhjV46kqZPY1+9iw0IsQgiuWl9PYHRilVInE4vzgqdO47BY+/9BR/vvPR2al6iGTfOPRE1z034/yb384RFt/kGtWVnLvS018LqGHPh6XvHS2x0xcJVLicfDCmW5afEPctHYBwLDCZ4RKI6pLdnsGw6Oqp7mIMbN+qv4WRoX01VtqcdgsSbLd7oEQpR4nQghqvHlJAanhqVFV5MJhtUzYDrGvyYc/FOXhgyogVYzNmAGpEGLzeF8zuZGzBbNCOs1epUSXXZfdSm1xHqc7tQqpMUrDIF/1kI5Jl1/7P5QlLEzfd9USLm4o4Z/uO8ALp7uRUmojX8qH92tZvnPMqp5vKGK+3mwzNfrVS030B6N4HNZRDrZ33vM89zw5tYx84hxS0MdB+IcDUtCMUJ491Z0UgJ7pGmTtpx7mJ+OYfhnSn4E5XiH1BSKm++trttYSjMT5+QvnWFlVkJR4ctqs/PQd23nV5hq+/fgpTuoyXYBjbX7W1hTisFlm5XxDwzBkjy5pHI9W3xDVRXlYLYKFJXnmcdzsC1BbrJloGYvL0vwUFVK3nd5AxAzcT3cOKAnZCAz5c21xHl993Ub++HeXmRXRVOQ7bXzzDZvpGQzzoXv3EAhH+cHTZ7jlm0/z5YePzdRmzxjTqZD6gxFOdAywUQ/sL19WBsCTI5QqDx5s43xfkG/cuZk3X7yI7z55mhu/9hSPHG5POk6jsThv/eGLPLDv/AW+m9nHUye6WFqezyP/cAV/++hVfO8tW3j9toV894nTZoB/snMAXyDC9sWpA1J/MIrNInjZai0gXVA0VkA6vM9nQ5XUOCan6l9iVEgXl3nYVl/MzsZhtUP3QNj0g6j2upIku0ZFtNjtoMhtTzJ9TIVx3n3hjOqfVozNeBXSL4/z9aWJXlgI4RJCvCiE2CeEOCSE+A/99hIhxCNCiBP69+KE53xCCHFSCHFMCHHDhbyxbGAEM31DkWktdgLhKHn24X9JQ1k+p/UeUqN53MDttBKY44v26dI5oF1AyhOkew6bhe++aSsLS/J43893c7Y7QCAcM2fsgWYNP1bfY/9QhJpirWptONrNBiKxOD98+gzbF5dwyZLSJMfWQDjKc6e7+eP+0XLQ8RgKx7AIcNq0Y7Wi0El7X3JAes3KCkLROM+dHl547WrsJRaX/McDh0Y5+hkMS3Znzz6eDr5AmKI87WK/ZVEJX3zNegA2JMh1DWxWC/9y8ypcNivffmw4eXCiw8/qqkJWVBbMygqpsQg82TEwoarkvG+Iaq8WeC4u83C2SzuOtQqpdvsVy8t4zZZa1lYXjXq+USE1AvfB8LAxkkKjSXd6Xljsxm61mE7P47G2pojP3L6WZ052ce2Xn+A//3gYq0Wws3Hiqvdso9mskE4+ID3Q3IeUmAHp4jIPtcV5PJVw/pNS8v2nTtNQ5uHalRV8+rY13P2mLcTjknf/dCev++7zpuv4gwfbeOJ4J5/905FZUblLJ239QVZXF7KsUlOQCCF452WLAW0sHsALRv9oioDUMDncsbSMIj0ZOCzZHRGQJlSnW3253UcaisYIRrTtnU4Pab7eelNR4EqaHd41GDaTezXFeSklu163nWK3nd7B8f+ucd492x2Y84aFiukzZkAqpbx6nK9rJvHaIeAaKeUGYCNwoxDiYuDjwKNSymVoY2Q+DiCEWA28HlgD3Ah8WwhhTfXCuYoRzETjclozQjXJ7vAioKHcw/F2P/3BqNk8bmCYGqks/2g6/YZkN7lSUuS28x+3rqVnMMwPnz4DkByQepzjmhoVu+3kO23jLkgePtTG0bbcCQ7+tL+VFt8Q77migUWlHhp7Bs1jxljUH2zpm5KJkHGcGpb6CwpddPg1R+hCPSDdvrgEj8PKown9gYfP95Nnt7K8soAP/GJ3UrXPwOiBmesBaW9ChRTgto013HvXxXzoumUpH1+a7+TO7XX8Yd95znUH6BkM0zUQZnllAauqCjh8vn/WnQva+4PYrdoxtG+cKmk0FqetP0iNV1s81pd6ONs9SItvCF8gYn6GKwpcfPE1G8zKfSIlHgf+UJR9zT4cVu2yd7ozPdPLOvqDhKKzPzho7g3gtFmSlCWT4bXbFvKDt25jMBTltVtrueuKBo62+SeU5882jAqyfwoJyb16X7gRkBqy3WdPdRPRg56djb3sb+7jHZctxmIRCCG4ce0CHv6HK/jM7Ws53TXAm37wAv5ghB88fYZCl422/iD3vngure8vl5FS0tYXNCuaBksr8in1OHjhtBaIvnimh8pCZ5LfhkGJPvrl5nULzNsKXTZcdgttfUHOdg2agWg0JjHEAedzvEKaeDxOtYe0oz9kjssqyrMn9YJ2D4Qo0/dZjddN31DEXCcYf8eb58Cb58A3iQrpwhItcWgkDxSKkUzKZVcIsVYI8VohxFuMr4meIzWMK75d/5LAbcBP9Nt/Atyu/3wbcK+UMiSlPAOcBLZP/q1kn8TqWmKmKh6Xk5o9FozEkhZTDeX5pnRkpGTX7bARl5rMV5FM10AYpz7qYSQXN5RQ4nHwq5e0oe5LKob3a2m+g4FQNGXm2aj+Fbrs4wak//K7A3zxodyQq0kp+e6Tp1lakc/VKypYVOomGBl2bDWMcOJSq15OlqFINOk4XVDkIhqXSIlZIXXarFy2rIzHjnaYgdLh1j5WVhXw/bduxWmz8M6f7Bw1v8zYt/4cDkhfPNPDifbRwfRkCUZiDEVipqmRwcUNpVQUuMZ4Ftx1RQNWIbj7yVOmodHyygJWVxXSPRhO6cSby7T1Bbm4oRQhYPc4faTt/hBxiVkhrdedhx/UjZ62LCoe87kGRvC/v7nPnKt5Kg0BaSwuuf6rT/KjZ85e8GtlG6PabCSapsLVKyvY/W/X84VXb2DromJicW2E0VxiOpLdved81Je6zX5xgCuWlTEQirLnnA+A7z91Gq/bzh2ba5Oea7daeNPFi/jh27bhC0T4h1/tZW+Tj4++bAUXLS7hW4+fmjdV0p7BMOFYnAUjjIqEEFzUUMILZ3qIxyXPnuzSzymjj+E11YVUFjpNua7x/AWFLu7fd56rvvQ4f9irSaEjcWn+rbYcd9o1rplCTK9CWqG7k3vddvzBqBmUJ0p2F5VqAf4Zvfe+LxBGCM2d1+u2j2tqNBCKcrZ7kFdtqqXAaTOr2ArFSCbjsvtJ4Bv619XAF4BbJ/PiQgirEGIv0AE8IqV8AaiUUrYC6N8r9IfXAE0JT2/Wbxv5mncJIXYKIXZ2dqaW/WWLxP7DxD7S3+5p4ZL//ptZuUtFJBYnEpOmUQzAkoQgtH5kD6lTe9xcdSPt6A/yo2fO8NDBNo61+ad04e30hygvcKa8KNmsFm5YU0k4FqfAZaM8od/MqAykku32DWljOgrz7GMuSKSU9AYi7GzszYmB8U+d6OJIaz93XdGAxSJYpFfZjf67M13agtxmEbw4hd6ORPMtGJY9wXBACnDtykrO9wU52uZHSsnh8/2sqiqkttjNd9+8lVZfkPf9fBfh6LA8Khclu4OhqCnpklLyjh+/xI1fe4r/+vORaW2nsWhIXKROhgVFLu7YUst9O5t5SnfqXF5ZwGpdojrb+kjb+0MsKc9nRWWBuThPhTH/LlGyC/Cb3S247BZWVRVO+LeMfR2LS65eUYHHYeVUGoyNfIEwfUORJIOp2YphEDVdbHrl2agG7m2aO7LdWFzS4htCCG2Bner8frZr0JTWgnau2NvkM/eHwSVLyrBaBE+d6KSxe5C/HG7nTRctSlnZB811+2WrK/nrkQ4KXTZevaWWf7h+OZ3+ED9/YX5USQ15f1XR6ITdxQ2ltPiGeOhQG92DYXPM20iuXVXJ85+4lmJP8nm3Ulf4AKZkNRaP43HaKPE4cr5CarQQVRW6puxf0t4fMpOgxfo5sm8owmAoylAkRok+Qssw2jPUXz49QW+xiAkD0mNt/UgJ62qK2FpfrCqkijGZTIX01cC1QJuU8u3ABmC0a0QKpJQxKeVGoBbYLoRYO87DU6VlR531pZT3SCm3Sim3lpenPvFki57BMAUurSqXKGFo6gkwEIqOO1B7pFEMDI9+sVoEC0csFIz+nokWxPuafHzzbyem8C5yg588d5b/eOAw7/3fXdzwP0+y8t8e4tL/fpQ773meT/z2APc8eYqHD7Wxr8nHwZY+Drb0ceh8H4fP93OuJ2D2i6Ti5euqAU2umxi0GvMLRxobxeOS/qB2Ai7Ks43psjgYjhGLS22B2pH9Beo9T56mosDJbRu191uvZzkb9Uz/6c5BqopcrKstMiVPkyEQjpFnnzggvWql9vn829EOWnxD9AejrNaDhy2Livn8q9fx/OkePnn/QbOKanxucikg/dJfjvHa7z4HaO99IBSlrsTNPU+e5tovP2FW6iZLYv/NVHnflUuISck9T56mwGWjstDJyiptsTCb+kj9QU3+VVXkYlOdl71NvjGTOCMDUiM5d6S1n/W1XuzWiS9jJQmL0DXVhTSU56eskD52rIPP/unwpBNghiv3+RzvM5sMTb3DBlEXQmm+JpkcL8kw22jvDxKJSRaXeZAyWcEhpeQXL5zjxq89yau+/SwvndXOpW39QTr8oVEBaVGenY0Lvdy3q5lPP3AYm0XwlksWjfv3P/Ky5VgE3HlRHR6njYsbStmxtJTvPH7SHMM1lzEM0CoLRwekFy0uBbTzNMDly8ZeF6ZKUt++qYY3XFQHQFivDkZiEpvVwoJCV873kBoV0toS94T+JYfO95lSeiklHf6gOb/ZuB75hiKmkZORAFhU6sFlt3C0TVPm+PQ52qAFsr3jmCkZidLV1YVc1FDK6c5B091XoUhkMgFpUEoZB6JCiEK0amfDVP6IlNIHPI7WG9ouhKgC0L8bTWbNwMKEp9UCs8pKrmsgbAaRibJOY3H9q5eaxjxZDKUISCsLnXgcmtuuw5b8rzJ6TSca/XL3E6f40l+Op0WeNpOc7hxkUamb+z+4g6+9fiMfuX45FzeUEozGePhQG//156O852e7uO1bz/CKbzzNK77xNC//+tPc/PWn2NXYS4137IXVxQ0lVBQ4WVOdXFkx5CldekAqpSQUjeEPRjU5qtuhSXaDEWJxyY+fOZMkxU6UyxiLkmxxsKWPp0928fYdi3HatGOq2qu5lBqOhKd19+bti0vY1+yb9CI8EI4mVUgXjBGQVhS4WFdTxN+OdiRdlAxeuamWD1y9hF++2MT/7WomGBk2Z8gll93TnYM09gQIR+Omk/b7rlrCb99/KcUeB+/7eep+2LFfT/ssVo9zjI5FXambWzdUE4lJVlQWIISg0GWnrsQ9YYU0FNUSJrmAYWyxoMjFpoXF9A1FONOdumLZYgak2nFWVegyz4eb6yaW68LwYssiYMWCApaUe0aNfonE4vzr7w7yvafO8JYfvjgp+ZuRvGrNcVlfIv3ByKjg3x+M4AtEWJii9246bFzoTRmQnuzw86uXzs26nmdDrmsk1Izre99QhA/+Yg///LsDbF1UQm1xHu/52S7OdQfYq7//jSmO0Y/ftBKLEDx6tINbN9SMmpk5kpULCnnwQ1fwkeuXm7f9w3XL6RoI87/PN6bjLeY0wxXS0efMZRX5FLvtnO4cZF1N0bjJ6FTcub2Oz9ym1UoMtU40FsduFVR7XTnvsmsothYWu8f1L+n0h7j1m89w70vn9OdFCUbiZoXUuHb7AhHzfGYEpFaLYEVlgTnKrbk3YFaai9x2QtH4mOuHw639eN12qopcXKSbTc2X2cWKqTHe2JdvCiF2AC8KIbzA94BdwG7gxYleWAhRrj8PIUQecB1wFLgfeKv+sLcCf9B/vh94vRDCKYRYDCybzN/JFeJxSW8gbMpsEyUMRtB4umswafBwIkYvaOJCXwjB2pqiUYETYPZHjifZjcTiPK3byz90sG0qbyfrnOkaZEl5Putrvdy2sYa/v3YZX3ndRn73/h3s/rfr2ffvL+MPH9jB99+yle+9ZSv3vHkL333zFu5+0xa+88bNfPKW1WO+ts1q4YG/u4xP3Lwq6faGsnxcdgu/33MeKSX//odD7Pjc3+ga1BadRbpkt28owuPHOvjUA4fNXlRIlmlnOyC958nT5DttZuYXtJ6k2uI8GrsDSCk53TnA4jIPFy0uIRKTk65oBMKxJAfOsnyHaQBRmJfct3vNygp2n+vlmZNdCEHSjE2Aj16/gvpSN48cbk8KAHJpDml7fxApte+GnLvU42BzXTH/cesaANr6Jt+/+dzpbtwOK+tqRrvBTob3X7UEgOUJ+3J1VeGEFdJbv/EMXxgxyzRbGPurslCrkAJjHn/nfUN43XYzCWexCBbpgdNk+kdhuEK6pDwfl91KQ3k+Lb6hJOMdwwDsjRfVsauxl+8+MfE4pC79eGjtC86KAKupJ8Cl//03fvjMmaTbjaA/HRVSgE11Xtr6g1z75cf54C920z0Qwh+M8NYfvsQ//eYAN3/9Kf7pN/tnxT6D4Rmka3R5vD+oyfhf/vWnePhQG/9040p++o7t/OBt24hLydt//CJPnujEYbWwqqpg1Ottqy/h0Y9eyRdfvZ5P3LxyUtuwYkGBmVwE2FpfwuXLyrj7idNzzkBqJG19QSyClIZbFoswq6RXLp+eas5iEdgsgpARkMYlVougqigv59UPhmLLMA3qG9L6jf/5dweSHrfzbA+xuDTlyZ16lXK4h9SQ7IZp9Wn3JSZNVy4o5EhrP+e6A+w+5+PalVq3nSH1TVUlHQrHeORwO1sXFZvrWY/DOiVFlmL+MJ6v+wm08S7VwADwS+B6oFBKuX8Sr10F/ER3yrUAv5ZS/lEI8RzwayHEO4FzwGsApJSHhBC/Bg4DUeADUspZc5btG9KqZksq8s3fDQZDMRYUuhgMRfnyX47xk3dsT5o1CJiymzx78r/knjdvxZIibeAxe0jHrpDu1YcRO20W/nyglQ9cvXRa722mkVLS2B1gx9KyMR9T5Lazwe2d9t9IJf0pctt5+47FfOfxU3jddn6mZ56NylOiqdHDh7QA/9lT3bzrck0wYPzPy/IdvJTFDGBzb4A/HWjlHTvqkyqWAHUlbhq7A/QGIvQHoywu87BlUQlCaFnLS5aUTvj6Q+FYUu+tzWqhvMBJe39o1N+7ZmUFX3v0BL/a2cTiMk+SizRoC4G1NUXsa/aZSZwSjyOneqONC/h535CZXDICHCOBNJFSIZFnT3Wzrb5kUlLTVCyrLOB7b9maFNyvri7k4cNtDIaiKcd1dPQHOaYbIX3iplWj7p9pjIrHgkIXdSVuClw29pzr5dVbakc99rwvSPWIykh9mYcTHQNmMDsRxqLJqNAv08/TR9v62VRXjJSSu584xbKKfP7ztrUcbu1n5xjJw0S69GMjpFfPU81AzRW0JNtBBkLRpPMWQHOPEZCmp0L6yk01dPpDnO4c5C+H2glGYpR4HLT2DXH3mzazq7GX7z11htJ8J/904+QCsmzS3BtACMzgsj8Y4UCLj+beIf73nRdxmT5fdHGZh7vftIU3/+AFTnUOsmGhNymITMRlt/KarQtT3jdZ3nzxIu762S4Ot/ZPOjmTq0gp+dEzZ1lY4ua6VRVJ8tq2viAVBS6zT3kkFzeU8NChNtOwbDo4bJaECqnEbrFQ5XXRH4wyEIqmNEnMBYwKqeEs7AuE2dnYQ74z+VpsjGIyrrPG2KvhHlLt8b2DEc7rFVIjWAXt2P/Vzia+/fhJhIBX6SZc3oTK6sgK9i9ePEfXQJj3XKklUe1WC1vqS1QfqSIl4419+ZqU8hLgCqAH+BHwIHC7ECL1bILk5++XUm6SUq6XUq6VUn5av71bSnmtlHKZ/r0n4TmflVIukVKukFI+eMHvbgaxCMEHr17KjqVl2CxiREAapTTfwaduXcMLZ3r44C92Jxm5QGrJLmhBUoFrdK+Z2UOasBD+/ENH+cAvdnNM1/k/cawTq0XwnisaOHS+35Rq5jrt/SGGIrFRRk4zwXuvWEKhy8ZPn2ukQf/7e/WRFF63ncI8G4N61g80C3PDvt/4n1+zsoLzfcGkuV0zyQ+ePoMA3r5j8aj7Vi7QZDf3PHka0CpGRXl2zVhmEiYkD+w7z8mOgVHmEkaAPzIgNSRUwUjclLuNZFVVIU09Q7T4NFlctdc1pTE0mSQUjZky3da+oDkWyOg3NgLSyVYoOvxBTnYMTCrwH4/rV1cmyStXVxUiJWaPz0gMx9PjHf4pOzFmgkTJrsUi2LjQy+5xKqQj5c03rFnALRuqJy3Pc9mt3Laxmts3aj55FzeUYhHw+DHNHOrJE10cbfObBmCbFhazv8VnfrbHontwuDJ+3pfb0r4/H2jjsWOdFLvt7GvyJVUnm/SRJumqkHrdDv7xxpXc/eYt/NNNK/nrkQ5+vbOZ91y5hBvXVvHPN6/ijRfV8Z3HT/GHvS1p+ZuZpKlniMoCl3m89Q9FaOwOYLcKLm5Innl5cUMp//XKdQBsGtE/mm6MBMJcmO343OluPv3Hw7z7pzt51XeeTZKAtvUHqUxhaGTwum11fOPOTWy9gKA8KSCNx7FZhWmY9uYfvGA6m+ca/UMRbBZhjsTxBSK094VGHRNGQGrIzY0+TrOHVJ+L7RuK0OoLUpbvTEqmrNT3xa93NnHZ0jLznOwdUSE97xvir4fbGQxFufuJU1zSUMq2+uHPyEWLSzjRMTDKq0OhmDBFL6VslFJ+Xkq5CXgD8Eo06a0igSK3nY/dsIKNC73aPKck+aFWtbhjSy3/efta/nqkg3/41V7TXltKaZoaucdw2hvJSFOjUDTGj545w5/2t3Lj157kQ/fu4aFDbWyu8/LabVoW9sFZIts9rbu/Li6d+YC0yG3n316xmqtWlPPDt20DhmckaqZGehYxEOHWDdUEwjEzYDVO9NetqgTISpXUFwhz74tN3LqxOmWP4gevWcaamiLu1uWIhmPpygUFZiJjLH7+QiN/f+8eNi8q5qM3rEi6r7LQhd0qksyOQKuAXq1nrVenkJ4DrNAHnRt28LVeN+FofFTSJhskOmOf7xsaluzq0jHjcxiYZED6vC5VuqThwgLSkazS9+1Yst19zVpAKiXsGWfEykzR1hekKM9uKkU21RVzrK0/peKjxTdkziA1ePWWWr5x56Yp/c2vvX4TVxsyM11y/bejmoXBz547qxuA1ejb4yUYiXO0dfzPROLc4vM53EfaH4zwqQcOsbamkA9ft5zuwTDNvcPb29w7RJ7dSqlnas7Pk+Htl9Zzw5pKNtV5+bA+Z1cIwadvW4vXbZ8V/WRNvQEWluRRqCeH+4NRGrsD1Ba7U1btXrN1IT9++zbef/WSjG6XEYS05Xif42T49mOnKC9w8vGbVrLnnM9sNwLt/VWN02eb57Byy4bqaY0sMnAmBKSGqdFVy8v5n9dt5GzXIC//+lP8z1+P58R1KZH+YITCPLsZUJ7uGiQc0xQbxnzkoXCMQ3pS0khImhVSfb8WuGza6JhAmPN9Q2bPvoGhyIlLkir7Rn/+0VY///b7g1z1xcd51093cuUXH6fTH+Lvr02uXxkJnNnwuVfMLJMZ+2IXQtwihPg5WoX0OHBHxrdsFlPktidXSMNRPHqg+eaLF/GvL1/Fnw608sFf7OG9P9vFsn95kPv3af5NIxf0Y2G8niFt3N3oIxiJ88VXr+c9Vyzh4UNtnOwY4Ipl5dQWu9lQWzQqIA1GYnzq/kNmBShXONulZevry9IjH5sq2mJiO4tK3eQ7bWZ1yatLdkHLpmrGFJgXTuN/ftHiUgqctqz0kf7v840MRWLcdUVq37GiPDs/e+d2Ni70moZZACsWFNLaFxzTNv7bj5/kX353kKtXVPDTd2w394PBqqpCGsryUy4IrlutBejra7wpX9twiTWCtRp9m3LBade4aAO0+oL0DGozbo3EkaFomKzT5XOnuilw2lL2hV8I1UUuivLsYxobHWj2sbAkD4uY2szZTNHWH0wyw9pU5yUutTmhifiDEfzB6LQMoCbimlUVHGjp41TnAE8e7+IV66uHzZL0SstEqoGugeHB8rnsxvmlh4/RPRDiv1+53pR2Gok00CSp051BOhEWi+DuN23hN++9NKniYrUISj2OcUdG5ArNPQEWFrvNHvn+oQhnuwfN+YypuGpFxbhzhdNBsduOw2aZdRXSeFwmGWvta/Lx9Mku3nXZYt6xYzEFLht/OTy8XmnrC5rBd6Zw2Cymy24sLrFZBEIIbt9Uw18/ciU3ra3if/56gn/41d6MbsdU6R+KUuiyUaQHhsfahq8BHfr1a2+Tj2hc4rRZzHVKR38Ij8NqSpEtFmEWU1r7gqNUUF63g6oiF4UuGy/Tr+kw3A7x6T8e5pcvnuOOLbV8/o51xOJxLl1SOkpBsK7GS57dquaRKkYxpiheCHE9cCfwcjRzoXuBu6SUs0P3mUWK8uwjXHZj1JcO7+p3Xd7AUDjGlx85TonHgdthNWVL062QPnuqC4uAG9YuoNBl5x2X1fPAvlZerev8b1xbxecfOqovPLSL6M6zvfz42bOsry0y+wFygbPdgzhsllF9YzONEIL6MjcHW7QTfKFuagTacPNqbx7rar08c7KLf7h+OX1DEawWQWGejc2Limc8IA1GYvz42bNcubyclQvGDngKXXbuveti2vuDZnbfCAqPtfvZvjj5AvLrnU184aFj3Laxmi+9ZkPK3se/v2apabYzkpetruQX775ozKpgjTePAqfNnOFnOCQPhKKjZsbNNMb8UYfVQmvfEEV5Dko9DnPhbswNnnyFtJvti0vG7IWaLkKIMY2NpJQcaOnjqhUVHHFNrjcy07T3Jy8wN9Z6AS0ATJQzGw6XGQlIV1bwhYeO8ck/HCIci3PTugXmfdVFLioKnOxu7OUtl9SP+RpdA2GWVxbgG4rk7LzCPed6+dnzjbzt0nrW1RYRicVx2izsbfJxywZtJJQ2gzRz51shBKli3WK3I+cSoiMJRWO09QepLXGbi/f+oCbZTZQiZgMhBJWFTrMne7bwsf/bRzgW55tv2AxoCc9Cl403XrwIh83CNSsr+OuRDmJxyVAkhj8UTen7kE4c1sQKaRybZfiALc138vU7N2G3Wvjb0faMbsdUGa6QDlcqDdr7gywscbOrUVfmLCk13cXb/cFR+9SbZ6c3EKGtL8hlKTw83nfVEpw2S5IHSlm+g4sbSqgv9fCBq5earSSG2mRkksths7BlkZpHqhjNeKuifwaeA1ZJKW+RUv5cBaOToygveVDwYIqG+L+7dhkPffhynvvENbx260IiMS1bONZw7JHYrRYcNotp8f3MyS42LPSalauKAhfvvGyxmTW7aa222Ep02z2r95QmSrdygTNdgywqcWOxpD9bP1UWl2nmJy67dhIu8Wj782VrtP150eIS9jf3mfNHC102hBBsqy/mePsAvnHmc6Wb3+5u0Q0EJp7K5LJbWZQgiR45+DqRRw63s6jUzVdfu3FMIx6b1TLKqMtACMGlS8rGrL4IIVhZVUBMdzY0LpKD4ShnuwZ56kTnhO8nUxiVh1XVhZz3BekZDFGS4PRoMz+HE1dIm3oCnOkavOD+0bFYXV3I0dZ+sxXAoLUvSNdAmPW1RWxdVKxlyyfojcw0bX3JFdJij4OGMs8op92WETNI08mKygJqvHk8fbKLsnxn0ggZIQSb64rZk1BFTEX3YIiyfAfVRa6cdeP81mOnKMt38tGXaTJ7u9WiGYklvLemnkDaDI2mQrFn/BmGucDBln7iUuvTtlkt5DttnO0aZCAUHbdCOlMsKHSllOxKKfnkHw5m3fE9FQda+jjRrrXm9AcjPHyonTdevMhcJ71s9QJ6BsPsauw139vIil26cdisSS67qa51KxcU0BuIjKkkygb9QxEKXXbcDis2i0hqvTESFS+d7WV5ZT51+qxSgM7+EOUFyT34XreDpp4AA6HoKMkuwFsuqed12+qSbrNZLdx71yV87o71Sb4GLrt1zDXBRYtLONrmpzfHk1GKmWU8U6OrpZTfSzQdUkwOb559lKlRKufLlQsKcdqsvHx9lXmb2z55JzePw8pgKIo/GGFfcx87loztSltf5mF1VWGSbPecPlutWTe0yBXO6vMxc4HF+oLD6B3dtLCYr9+5iVdu0rJ/S8o9hGNxzvuG6BuKmI8zMuczVY2KxSXff+o062qKptWfuKBQk+KMNMWRUrK3ycfmuuKMJgiMiq43z06Ba7j6f/cTp3jPz3aNmps4U7T7Q9itWvWxtW9Ic1L1JF/E3Q7rhKZGDx9q45XffhaHVcv+Z4LVVYWEonFOjZivachg19UUsaW+hKFIjCMT9EZmkmgsTtdAaJRJycY6bXZlotmOEeSNN1d4ugghzP/Fy9ZUYh1xfG+q89LYHRjXfKPLH6Ys30lVUV5OziuMxyUvne3h2pUVSUnRDbVeDrT0EYnF6RvSHLczWSEdixJ37gekRnXJkDoXuGzs19Uc9VnwORhJZaErpWT3VOcgP3mukd/sas7CVo1Phz+Eb0j7v/sGtbXSEn2GO8CVK8pxWC385VCb+d4yXiFNkOxGY5qp0UgMo8WxZiZng/5glMI8LRHuddvxh6KmGqGtL0gsLtl9rpet9SWaek+fQ5yyQuq2mwFtqpmv6eIifY3yYg4mSxTZI726MQVgVEi1k21cH1ScKiA12LjQay4GJlshBU22OxiK8sJpbb7UpUvHD0RuXrcgKeN4tiv3KqSxuDbyJVcCUuMCZASaFovg1g3VZvbUWJCc7hpMCkg3LPRit4oZy04/crid012D3HVFw7T6wLQqZeEoY6PzfUE6/SE2ZtgtcoVeoS1y283Pij8YpWsgTCAcy5pjcbs+bqDG66I3EKHFNzTK+MXjsI05pqZ3MMyH7t3De362i4oCJ3/44A4aEhZe6eSihhKcNgv/9Jv9SQHy/mYfNovmGGksqnc2Zm8h0DkQIi5JqpACbK4rpmsglHQ+Ou8bwmYRozL56eJGXTnyioSkoMEmvWI61nzUQDjKUCRGab6TKq8rJ3tIT3YO0DcUYesIaenGOi+haJxjbX5aetM78mUqeD12egcjOT2PdOfZXhaVus1jsNBl54x+7cyZCmn/6Dm4z+mSyCMTmNXNNMFIjL6hCL0B7f9ujC0xEpGgzVnfsbSUvxxuNxM9ma6QOq0WwroJkDGHdCSLdV+LM7rxYi5gVEgBs6WouigPp95bfK4ngD8YZWOtZrgpJfhDUTr6h/vfDbx5doZ0d+NUFdJ0sWFhEU6bRc0jVSShAtIMUOR24A9FicclAf3D7Rkn0BRC8OottZTlO01TjcngcdgYDEd55lQXTpslSXKWihvXaouuhw62AtDYbVRIc2chdd43RDgWz8rIl1QYgbHhYDfq/nLt/rN6QGpcEFx2K+trvTMWkN7z5CkWluSZ0uzpYDjtJi5sDFlfpgNSY76fN89uVnIGQzGzepIty30ti+w0s8VdA2FzBqlBnsPKUGS0ZPcvh9q4/qtP8qf9rfzDdcv5wwd3mGMEMkFtsZuv37mJfc0+/vE3w6OiD7T0sWJBAS67lRpvHlVFrqwaGxkLzAVFyYshY6bo7gQX4PM+LYufanGYDnYsLeOpf7yaS1OoS9bVFGGziDGNjcwRQPkOqovyaOsPZl0KPRJDoTFyHIYxjmRvk89UyCwsyU6FNByLm60nuYaUWnUpccZnYZ4NKcEishPEj2RBkYtgJE7/UPI56LlTmtne8TZ/1hQmqTCMdsLROMFI3BzxVTAiaX/DmgWc6wlw364mgBkxNQqNmEM6koUlbiwCznTljqqsPxgxg3mjj7Ta62JBkYv2/pCphKsv85gJ85beIYYisRQV0uFrWyYrpE6blc11xbxwRvWRKoZRAWkGMLNQwahpOjRehRTg765Zxt8+duWU/o7HaWUwFOPZk5pRylh6fYOlFfksr8znwYNtSClp7NGyvK19Q8TikmdPdvGp+w9NaRvSjdHXmgtSKBgOSI1AcyTl+U48DitnugbpT6iQgibbPdDSlzRPLRPsPNvD7nM+3nVZwwWZ5axYUMBAKJqUoNjb5MNhs2Q0kAJYro9+8bod5CdIdo0ek+Pt2clIt/eHqCx0UZWQLU7sIQVNsptYIfUFwnz43j3cpVdF7//gZXzoumVj9t+mkxvWLODtly7mwQOtBMJRpJTsb+5jfW2R+Zgti4qzGpB2jBjIbrCisoA8uzWpIqmNfMlsoJTY95RInsPKqqpCdjf6Ut7fqUt5y/OdVHvziEtNiphL7DzbQ1m+c1Qlr7Y4jxKPg31NPvPznq0eUiBne8kauwN0DYTZumi4wmxUo6q9eVNKIGcKI6hINDaKxyXPnerW2gkiMTMoyQXa/cPb6RsK4w/qAekI5/bbN9XQUO7h+dM9eN32Cdc3F0qqOaQjcdqs1BTnmeqymSQaixMbkVgYDEUJRuLmMWmsP6qK8qgs0Crnxv++rsRt3n+iQ0vwVhSO7CHVlWCCUdXTdHNRQwmHW/tzYi62IjfI/tl0DmJ86H1DYTP7N9LUaCRWixg1SmMiPE4bZ7sHOdbuT5nhT8VNa6t48WwPh873E4zEWbmggEhM0uEP8ts9Lfz42bOmhCYbGCf6XJHset0OyvKdlBekrpAKIVhc7uHMCMkuaFWJSEyaY2Myxa9eaqLAZeM1Wy/MKdno40zsI917zsea6sKML7wKXHZWLiigrsRNvkOX7IaiZoX0RLYqpP1ahS4xKBop2U3sId3b5OP6rz7JH/e38qFrl/H7D+wYc/5qprh8eRnRuGTPOR9NPVpv87qEkTtbFxXT2hfMmgy6T+8dG+mgbLNaWF9blGQkdN43eh7eTLKpzsu+Zt+ohSAkV0iNhEVrjs0i3dnYy9ZFxaNk/EIINi70srfJR1NvALfDSrF7atefdGCMjMjVPlIjcZNYITWqUbmSNDVnkSYEpMfa/fQGIrx6i3ZNGOkNkE0S+119gQj+FJJd0FRGn3vVemC0vD8TJLvsyiSX3UTqSz2mZHsm+cAvdnPj/zzJue7h5MJPnjsLwMW6UZ5R4awqclFZpPUWN/UEcNgsVBQ4hwNSPcE7MiloVFgrClxpd4IfyUWLS5EyO/PaFbmJCkgzgPGh7huKENArJxNVSKeDx2Ezs9s7JugfNbh5XRVSwj1PntafpwWyzb1D5kk28YQ305zoGMDjsFJZmNns3FT48du38aFrl495v3GBGhmQ1uoSuI7+zFZNnj3VzY4lZbgdF3aMGX2cxhyzaCzOgZa+jMt1DX793kv4+E0r8Ti1TLg/GMGnZ0+Pd8z8gioQjuIPRqkodCbJxUabGtkI6JLdnz3XSDAS4w8f3ME/XL88KxWULYuKsQht8Pi+Zh/AiAqpVu3JVpXUyIh7U6gONtUVc/i8piqIxSVtfcGMOOxOls11xQTCsSTJ+P37zvOZPx6mTQ8+S/Od5oiq877cMTbq0KsjW+tTt3JsqPVysnOAo63+jM0gnQjDtTxXR7/sbOylwGVjWcVw37ehlsmF/lEYDtbaE0y1nj2lSSHfckk9QqR2T88WibOdewMJSXvX6OvX9sUlfPymlbxu28KMb9eoOaRjBGQNZR7Odg3OeN/zyY4BTnQMcNu3nualsz30BSLc/fgprllZYZooGuuPBUUuFhQ6aesLcq47wMLiPG3OqJ50Ms5noyukekA7A0nATXVeHFaLku0qTFRAmgGMD70vEDFPtsYiO50YQW5Rnp011UUTPFpjeWU+DeUe/rj/PDAcyDb3BsyA9GwWHeR2n+tlw0JvVhZHY7G2pmjc/pWGMg/negJE4zIpIJ2J7H9TT4AW39CEhlaTId9pY2FJnplNP94+wFAkNmMBaaFLk2XZrBacNgvnfUNIqY3cOdE+kLJKlUmMREJlgQunzUqZLtVNJdk1Ek+DoSjVRXmT/jxmgkKXnVVVhbx0tocDLX04bBZTEg1av67bYWXXiP7maCzOy7/+FL966VxGt88XiGC3ipQzlzfVeYnEJIfO99PpDxGNy6wGpKn6Wv9vZxPff/oMn3/oGKBVzI0qbi6NftmpJxxGGhoZbKzzIiW8cKY7a72Q450jw9F41sdr7GrsGeUwbiiZcqVCagQVbf1Bdp/r5be7m3nqRCf1pW6WVuRTX+pJMquTUs74uTSRjoQKaV8gkiDZTZ1Qfe+VS3j7jsUZ3y6nbcQc0hSSXdB6Mf2hKN0jkignO/y87UcvZqxFpzcQ4Yrl5XjdDt74vRd47//uwh+K8o83rjAfMyzZdVFZ6CIUjXPwfB91JcnTAk50aBXSkT2kxtp1JmbAu+xWNtZ5eUFVSBU6KiDNAEUJFVKzh/QCq1epMILcSxpKJ236IYTgprULiEuwWQTbF2uBzMGWfjNL3ZilCulgKMqRVn+SPGo2kGjAlBiQJh4HmeJZ3bhiOqNeUrGistAMSPfOkKFRKgpcNpp6tMX95rpiQtE4TTPcB2UkZmp0B2zD5CGVZDegS3YHw1HcGUg+TZVt9SXsPtfLrsZeVlUlS65tVgsbF3rNgMXAkPLva86sxNw3FKEoz5Ey6WQGgI29pqQ40z2k41FX4qbU4xjV11pV5GIwrM2XdtmtFLjseN32Ufs0m7x0tgeX3cKaMSTjG/SqeVzCwiyMfAFMg7DeweRzZKc/xMu//hR33P1sNjYL0M7bx9sHRhlCFeZp1/JcqZA6bVZKPA4eOdzOnfc8z0d+vY/Hj3Wa845XVBYkSXY/9n/7edP3X8ias3F7f9A8H/mGtIDUYbPgtGX3vJncQ5ra1AgSRr+MkO0+d6qbx491ZqRfNx6X+AJhNtQW8bv3X8rmRV6eO93NKzfWmK02kFghzTOT6M29Q2afvHF/Y/cgbod1VCuZNyGgnQkuXlzCwZY+U7atmN+ogDQDJEp2B8OTMzWaDsZrTlaua3CT7rZbU5xHvtNGWb6Tp090mfdno2EfNEfXWFzOmYDUZbeSZ7dm1LDjuVPdlOU7WVqRnlEiKxcUcKZrkFA0xt6mXko8DjO7OpN4nDbzwr59sVbhmWmn3YN676+xoDcu0iNddt262zXoM4czkHyaKtsXlxCMxNnV2Mv6mtHV2i2LijnS2m8mzAAePKDNKM50VaovEKEoL/U+qihwsXJBAX860GpWG7NZIRVCsKnOyx69Qiql5LxviJevq+L7b9nKx142LOV/+6WLeeRwO8+fzg0J2s6zvWxc6B3TTMvrdpi9+tmqkBa67FhEcoW0oz/I6+95jhMdA5zsGMha1dmoim8ZIXk2HNdzxQketErXgZY+Fpd5uPtNm3n5+iresH0RACurCjjbPUhAP0ftaerludPdPHqkIyvb2t4fMiXQRg/pSIfdbGAEpEYFeawkf8MYAWmvft40Kr7ppD8YIS41RYHX7eCn77iIL9yxnn97xeqkx62vLWJRqZuGck9S9dO4hufZrditgrhMPde12JTszsw5d8NCL3HJqHFzivlJxgJSIcRCIcRjQogjQohDQogP6bdvEEI8J4Q4IIR4QAhRmPCcTwghTgohjgkhbsjUtmWawoSAdLKmRtPBeM1Ll07O0MhgTXUhi8s85kWhpjiPY/piv7zAmbUK6c7GXoQYnv83W2gYIyAFKHbbzQtVupFS8tzpbi5ZUpo2ifPKqgJiccnJjgH2NvnYUFuUFfm0x2EzTTqMgNSQGc0U+5v7aCjzmO6PdSVuPCmyyoapkZSSQDiWUoo602xLkGmuqx0dkG5fXEJcakYZx9v9xOKShw5pAakxsD5T+IbCSeMFRnLH5lr2Nvl45qSWJMumqRFo56NTnYP4AmF6BsMEI3FqivO4dlUlb0uQEt51RQPVRS4+/cDhrEoiQUuMHG7tTzoOUmGoH2qzVCG1WARet8NU50Rjcd7905209gXNxXa2qs67G3uxWsQohchN6xbwldduSOorzTbra4pYW1PIL959MTeureJbb9hsfu5XVRUipWZsFItLmnXlyZf+ciwj42D2nOvl0SPtY97f7g+yqNSNw2YxXXbHkuvOJA6bhVAsTlTfJ/YxJLs13jxsFjEqcW8cw4lJvnRhvLaRDHXYLLx228JRxnBb60t44v9dTaHLnmQEZVRIhRDmGiXVbOdFpW7+3w0ruGXD6LnMmWCl7t6fa7NyFdkhkxXSKPBRKeUq4GLgA0KI1cD3gY9LKdcBvwP+H4B+3+uBNcCNwLeFENlf2U0Dl92K02YZYWqU/rfyyk01fPaVa5MCoskghOB/33UR//WqdcDwYsRmEVy2tCxrPaS7GntZXlEwKqjLdbxuh2mXPnI8TJHbYbqKppvG7gDt/SEubhh/0TkVVurGRrsaeznRMcDGhdlJDuQ7beaifmGxmxpv3oxXSA+09CUFc++7agn/+66LRgXoboeVaFzq8xSjGVFDTJXyAqd5XthQ6x11/2VLy/jETSvZdbaXG//nSd75k5fo9Idw2Cyj5JPpxheIpDQ0MrhtUzVWi+C+Xc0UuGyjxkHMNIaMeG+TzzQtSlW1zXNY+fjNqzjc2s//7WyayU0cxd5Jqk0M2W4252lqSTvtHPndJ0+zr7mPL7x6PW+9ZFHKXueZYufZXlZXFY4yiytw2XnV5tqc8jn43B3ruP8Dl41Sb8CwwuPQ+X7a+4OEY3EubijhaJufPx5oTfu2/Nefj/B3v9wzpgyzoz9ERYELb54d36CWtE9laDTTOHWX3YhubDSWqZHNaqGuxD2qQuoLZC4gNT4fIwPQ8Ug0LEpUORlrlFQVUiEEH7h66Sj33UxRXeSiwGUzjRQV85uMBaRSylYp5W79Zz9wBKgBVgBP6g97BLhD//k24F4pZUhKeQY4CWzP1PZlGq/bji/BQS4TMr5qbx5vvGjRtC6MNd4886RjBKR1JZoJQoc/ZMp7Zop4XBtAvnmWyXUNDOnbeBXSxu7BcTPHU8W4IBpBZDqoL/XgsFm4b1czUmrGJ9kgcYFS4nGwrDJ/RmeRdviDtPYFWZcgdy3Nd6as3hsL1qFwjEAolpHk03S4eEkpBU4bS8pHJ6yEELznyiU8+Y9X8/Ydi3nmZBcuu4VrVlRkfC6cLxAxzTNSUVHg4opl2uiamTDXmIj1tV4sAnaf89Hi09QjY/W13rK+iq2LivnSX45ldXzWzrOa2mSi8+mrty7kP29fy9qamR1NlEix20HvYITTnQN87a8nuHndAl6xvhqb1cKmOi8vnZ35CmkkFmdvk2/WtI8IIZKMlxKp8ebhdds51NJntkG8/6qlLK/M5wdPn0nrdkRicfY39xEIx/j93vOj7h8MRRkIRaksdGlrpKGwLtnNfhLa6Gs1RniNNfYFtOv9yIC0x5DsZqRCqr12yTjKkpEYvcWQPGt5eLRL9icZCCFYuaCAo62qQqqYoR5SIUQ9sAl4ATgI3Krf9RrA8POuARLTys36bSNf6y4hxE4hxM7Ozs6MbfOFUpRnN02N3A7rmBeLXMDIji8u85jOgTMt2z3c2o8/GGXbGCMKcp3F+n4budAudjvMzOn3nzrDB3+xJ21mEs292v8ondUNm9XCsop89uvGNhtSyD1nAqPK6LBacDusLK8s4FTnzDntGv2j61NUF0diSHQD4RgDOdJDCvBPN6zkt++/dNx5csUeB//2itU89rGr+M37LqWmOM88XjNF31DE7MMbizv0+YnZluuCVq1fXlnAnnO9tOgV0rECUiEEn7xlDd2DYb75t5MzuZlJ7GzsYUVlwYSzrfOdNt588fSSmumi2OOgNxDme0+dQQj4j1vXmvdtWVTC0bZ+M7E7Uxxt9TMUic2agHQ8hBCsqS7k0Pl+MyCtL/WwcaE3aVRMOjjS2k8oGsduFfz8+cZR17oOv+5cXujE63boPaS5I9kFTIO68QLS+jIPjd2BJMlzRiukg0aFdGqBe0WBk1KPI6nNpMiskGY/IAVt/vmxNn/WTLYUuUPGA1IhRD7wG+DDUsp+4B1o8t1dQAFgrH5SffpHHaFSynuklFullFvLy8sztdkXjDfPYZoaXeh8yExjVEgbyj2mc2DjDMt2Hz7UhkXAlctz9386Hlvqi1lQ6CJ/xP+6yG3Hp2dOuwdDDEViaVtcNfUO4bBZKM9P74XFmEe6uMwzbq9fJsnXq4zFHjtCCJZV5BOOxmfsuDzQ3I8QjOlQmohbv9j7g1FC0XjOfN6L3HaWVU6uel5b7GZNdRHFbjuD4ZjpNpluIrE4A6GoKXEfi+tWVVLqcaTNrOtC2byomL1NPpp6Argd1nG3f11tEa/eXMuPnjmTFUOeaCzO7sbeCftHc4USt4MW3xC/29PM7Rtrknrbti4qJi4xTaVmip2Nmkx4rBmus4211UUca/NzqnMAq0VQ5XVR6LKnvYpvuFHfdUUDR9v87NGd2g3adV+AykJNstunu+zmgmTXoSfuDIO68RJ59WUehiIx2v3DAX1Ge0gDyT2kk2XlggLWjDC1KzIrpNlP9oG23vCHoqarumL+ktGAVAhhRwtGfy6l/C2AlPKolPJlUsotwC+BU/rDmxmulgLUAqM1H7OEwjy7Poc0Zi6uc5VFupxjaUW+GZCe6ZrZCunDh9rYVl9CaZqDq5niDdvreObj14yqhBe77fiGIkgpzd68Tn8o1UtMmebeALXevLRX3w0JcDbGvRgYGV3D9c+YozlTst0DLT6WlOdPqh/Ubdc+310D2v81VyS706FI39+ZMjbq1+XAEwWkLruVBz98OR+5fsW4j5spNi304g9GeepEJ9XevAkriq/fXkckJrPiHnm0zc9gODZrgimvx44/GCUYifP2y+qT7jP7dxPG7swEuxp7qS5ymaOeZjurqwsJx+L87UgH1V4XdquFwjw7gXDM7JlMB3vO9VJR4OR9Vy3F47DyixeSZxoPB6ROvHrvsD8YmbCSPxM4bMNKFxjb1AhSO+36MijZ7R0M47BZyLNP7dry+Vev5543b0m6zQxIc6RCuqpKu7Yrp11FJl12BfAD4IiU8isJt1fo3y3AvwJ363fdD7xeCOEUQiwGlgEvZmr7Mk1Rnp3+oQiBUG6YnIxHQ3k+P3nHdm7fVEOBy05ZvmNGK6RnugY53j7ADWsWzNjfTDdCiJQ28d48B7G4xB+KmsYEXQPpWew39QxRm4GRLMZcs2wGpJ4RAalRKTsxQ8ZG+5v7Uo5LSYUh2TUSDbn+eR8Pc2RVhpyhfXpAOhnjsooCF3k54FgMw72YpzoHJzUX1ejP6hxIT/JpKuzSXWm3zqIKKWizlBNnKoJmIFTjzeNk58w6bO9q7GXLLNl/k2Gtfi470THAopJkv4P+NPaM7z7nY3NdMflOG7dtquGBfeeTziUd/drnoaLQhdftoDegmRrlgmTXaUh2dSNK6xhzSGF45M9ZPXEfjsZN5VOmXHZL3KlnN4+H02bFNSKIzbUKqZFsvn/fed7+oxf54sNHs7xFimyRyQrpDuDNwDVCiL36183AnUKI48BRtArojwCklIeAXwOHgYeAD0gpYxncvoziddvNsS+zYYF65fJyczD1olLPjDrtPqyPm3jZmsoZ+5szhVEJ8g1GTEmPEbj0ByOEotM/xJt7AxkZ17B9cQlv31HPK9bPjPV7KowKqSFR8jht1CaMJ8ok7f1BOvyhlONSUmFIdo0KaS6MfZkuxWaFNEMBaWDyAWkusbjUY27zZOailulKj+40JZ+mwktne6gqck0qcM4FjH319h31Ke9fUpHPqRkMSFt8Q7T2BdmSJUO3TLC41INHPy8ZBjeF+izg/jTNzewaCHGuJ2BWtd+wvY5QNM5v9zSbj2nvD5Jnt1LgtOF12wlH48RlZsbiTRWjh9SQ7I5XIa0qdOG0WTjTpR2XiX33g6H0L1t7A+EpOeyOR51+LBhztbNNgctObXEef9h7nseOdZrzsBXzj4ydBaSUT5O6LxTga2M857PAZzO1TTNJUZ7Wi9U3FMnqYPfpsKjUzXOnZm64+0MH21hXU5TV0QOZwljg9wbC5mLcCFxe9e1n2bqomM/dsX7KrzsQitIbiLAwA/vMZbfyyVvWpP11p4JZIU0wcVheWcCJGZDsHmg2DI2mWSHNkR7S6WAkUAwTjXRjjEDKVm/ydLHo8yifON45qSRQnsOKx2E1P+szhZSSnWd72bZ49lT3bly7AJtVcN2q1AnJJeUeXjrTQzwuZ8QccLZVmCeDxSJYVVXIzsZecwSIIZNNV4XU6B811ARra4rYsNDLL144x9surUcIQbs/RGWhEyFEkrFZtkc7QSqX3bHrNRaLoL7UY7Y29SQEpP40BfiJ9AyGKZmiodFYvHJTDdesrMipQsk/37yK1r4gJzsG+P2eFqSUOTVWSTEzzIjL7nzEyKa3+IZmXcWkocxDa18wY7K9RNr6guxt8nHDHKyOwvACv8U3RFjv1en0h4jFJWe6Bvn93pZpjdkYdtidXcmOyTKyhxRgWWU+p7sG0trzlIr9LX1YBKyuml5A6p7NPaT6eSvTFdLx5pDmKpv1kT+Tdf4tzXfOeEDa4huirT/I1lnkDutx2rhtY82YweaS8nyGIjHa+tPrCDsWu8724HZY0zpOKxcwZLtmQGpIdtNkbLTnXC82i0galfXG7XWc6BgwR/e09wep0OdfJvaR54Jkd2SF1DZOhRSgvsxtKskM9ZMQmZpDGkm6Fl4IVouYsjlSprl5XRXvvGwxS8o1s6j+oeF9+OKZHj7/0NGMjyNTZB8VkGYI42TrD0ZzQo4yFS5dWgbA48c7Mv63HjmsyTNmc//oeBiVoETzg66BEL2BMLG4JBiJc//elim/blOP5ki3MAM9pLlAqoB0RWUBkZjMeH/zgWYfyyoKJt2/aLjqGv2Cs+3znoghC8tYD2lgcqZGucilS0sBWFYxuUClLN8x4wHpzrNGdW/2BKQTsaRc6x+fKdnurnO9bFzoHddldTZiBIrGzOzhCumFB1BSSh471sma6sKknsVXbKjCahE8oa8lOvqDVBoBaUJSKhdcdp2Gy64eUI439gW0PtJz3QFicWme1xYUusyANp1oFdLcCiIzwQJdRtzaP+y4++DBVn749Blc9rn1eVSMRv2HM0Rhwsk2l6QRk2FjrZfyAid/Odye8b/18KF2Gso8OTPeId0U6wvv053DQVSnP2RW0ywC7n2pKeVzx2OuV0jHkuxCZp12pZQcaOmbdP8opKiQzmLJrsdhxWYRpgFXuvENRRAiNyR6U2VbfQnPfeIas9I0EWX5Trr8M9tDurOxh3ynbZQ50GxmSYUWQJ3qyHxAOhiKcqTVP6sqzJPl1o3V/Oht21itj7Ia7iG98OTTI4fbOdLaz5suXpR0u9tho6LASXt/CCkl7f0h0/ArcWZ3YQ4EpGaFVO8BnSgh0VDmIRyLc943ZFZIFxa7GUizZDcai9M3lL4KaS5j9LW2JszHffZkN9vqS0yPE8XcJftngTmKdxYHpBaL4LpVFTywr5VQNJaxE4EvEOa50928+/KGOdsvYEggT+vmBwVOG10DwwHpK9ZXc/++8xxonloQ1NQzRJ7dSukczZouKfewrCKf9bXehNvyEQKOt/u5eV1mDJda+4J0DYQn3T8KmjujRQy7J8/msS9CCLz6qKJM0BcIU+iyp3Skng1MZQxIWYHT7EdMF+FonPt2NeMPRojE4oSjcUKxOJGoJByL8fChdjbVeWft/k1Feb6TApeNU52ZVUYA7G3yEYvLOeWwa2C3Wrh6ZYX5e7p6SONxyVf/eoL6Ujev3FQz6v6KQhft/UH8oShDkRiV+riRxAArFxJUZg9pRB/7MlGFtHR49IthalRbnJd2Q0jjXDw/KqTa+bVND0g7/SGOtfu5bVN1NjdLMUPMrkhpFpHoIpnrc0hTcf3qSn75YhPPn+7hyuXlGfkbjx7pIBaX3Lh2bsp1QcuyFrhspmR3WWU+7f3DAem7Ll/MXw63ce9L51hXu27Sr2s47M7VQL4038kjH7ky6bY8h5W6EndGjY0OtGiGRusmWQUDLYhzO2x0D87+CiloMvNMjn2ZjXLd6VDmcdCjS/OPt/tp7B7kxrUXlkj5ybNn+eyfjyTd5rBZcFot2G0WnDYLr9o8OiiYzQghWFI+M067uxp7EWJ4/ulcxu2wYrWIC+7Ne/hQG0da+/nq6zakrCouKHRypmuQDnMG6ege0lxocxiukBo9pONXSBcnzCLtGYzgcVgp9jjS3kNqGMyly2U3l6kocCLEcIX0+dOauealS8qyuVmKGSL7Z4E5SmJAOhsXqJcuKSPPbuWRw20ZC0j/criNBYWuSc97nK143Xaz53N5ZQEHW/rp0APSJeX53Lyuivv3nudfXr5q0sdKU+/QnO0fHY9lFQUcz+DolwPNfVh1R8qp4HZYzTl0nllmYjYSb549c5LdQGTWjXyZLmUFTqTU+r++/Jdj7GzsvaCAdCgc47tPnmLH0lLuefNWHDYLNouYs0mpRJZW5PPUic6M/52djb2sqCwwq4dzGSGENi/9AiS7WnX0OA3lHm7dkDoRUlno4vnTPbQbM0j1+Zd5disOq4VwLJ4bpkZ6ABoIG3NIx/9clRc48TisnOkapH8oQrHHgcdpYzAcS6sjtCEHLpkHkl271UJ5vpO2Pm299OypbgqcNtZWz50WBMXYqB7SDJFcIc3+yXaquOxWrlhexl8PdyClzMjfONLqZ2t98YxY+WcTQ5pkEVoAGo7FOd05gNthxeO08fptdfhDUf60v3XSr5mpGaS5zvLKfM50DRKOZsZpd39LH8srC0YNE58Io4/UabPMejMUr9tumnSkm76heRSQ6vM1O/0hdjb24gtELsgh+ucvNNI1EObD1y3H47Rht1rmRTAK2nmzvT+UNkfYVMTjkj2NvebYkvlAoct2QaZGfzrQyvH2AT583fIxA7jKQhd9QxHO9QT037XPhRCCIrcdIXJjVNbICul4c0hB2/76Mm1me08gTLHbQYG+1kunsVGvfi4uTtPYl1ynqshlVkifPdXFRQ0ls/6aqpgc6r+cIWxWixmIzrYeUoPrVy+grT/IwZb+tL+2lJJOf8iU78xlDKddr9tBhX4xPtzaT7lu7rCtvpiGcg+/mqS5UV8ggj8YzcgM0lxneWUB0bjkbPcgwUiM7z91mlA0PYPIpZQcaPZNq2JvVLZn62c9Ea/bkTGL/b6hyKybQTpdjP7u5093mwH+dOe7DoVj3P3EaS5dUsq2OdjfOBFLyjV55OkM9pEe7/DjD0XnpKHRWBReQIU0Fpd87dETLK/M5+Xj9PQb1/j9+nznioRrfrHbTr7DlhNJacMrw+ghHW8OqUF9mYczXYPaWBa9QgrDxkjpwFCrzIceUtCcdtv7g3qbQ4AdS5Vcd76gAtIMYlQCZqvJyTUrK7CI4dEs6WQwHGMoEjMd9+YyhsFVsdtOuV41OdE+YP4shOD12xays7GXkx0Ty1Gb5rjD7ngsq9TcmI+1+XnkcDuf+dMRHj6UHjfo5t4hegORKZlLGRgV0tk2czgVmZLsPnuyi8buQRbOk+O2TD+3PXRw+PxpGF9NlceOddA1EOIDVy9Ny7bNNpboLuyZdNo1R+Ysmj8Bf6HLPm1To0cOt3GyY4APXTt2dRSGK6IHWnzkO21JijFvniMn5LqQqod04iC5ocxDc+8Qnf1Bit12c603EEpfQs+Q7M4Hl13QjONa+4L84oVzOKwWbt2gDI3mCyogzSBGQDobJbugZeS21pdkZPyLYepTPg8CUmP0S4nHYS5Sw7F40nt/1eZabBbBvS9OXCU1Rr7Mxx7SJeX5WAScaPdzUDcgevZkV1pe++A0DI0MjJmluSA9u1C8bjuBcCxtlWeApp4AH/jFbpZW5PP+eRJUGZLdlxp7zNt6plkhbenVeqomO3JmrlFX4sZuFRyfRMJuIpp7A+ZnPZHdjb2U5TtZWDI/EiagjX7pn+aYkqdOdJHvtE1oSmhUSI+2+k2FkMGCIlfOrAGctuQe0onmkILmtBuLS873BTXJrh5cD6SzQjoYxu2wTrmNZLayoMiFPxjlvl3N3LB2AaX5uXF8KDKPCkgzyHCFdPYuUq9fVcnRNj9Nev9HujAc93LlYpRJihIku+UJJ9fE916W7+T61ZX8dk/LhIFAs744nY8VUpfdSn2ph+PtA6Yj7tNpCkj3t/RhtwpWVhVM+bkeU7I7+xcNhqQ2XbLdQDjKu3+6k1hccs+bt87aBN1UKXTZcFgtSKn1PgOmE/NUae8P4rJbcmJeYzawWy2sXFDI/qbRgeRU+cwfj/D+n+8edfvOxl62LiqeN325cGEV0p1ntX7bicx/jIA0GpdUFiS36Pz7Lav51hs3T+vvpxvD1Mjo/7RPom+xXnfaBS3hbFwH0um0a/SnzheMWaQDoShv2F6X5a1RzCQqIM0ghq35bK6aXL+6EtAGX6eTzoF5WCF1OyjKs5uZ1/IRmb/Xb6+jZzDMXw93jPt6TT0BCpy2eWMOM5Jllfkc1yukboeV5t4hznVfeMLkQHMfKxYUTGvuriHVnc3JJwPjvJUOYyMpJR/7v30cb/fzzTdsTlrAzXWEEJTmawvJG9doVaTuEZLdyS5c2/qDLCh0zatgaSSb6rzsb9bmhF4IB1r6aO8PJpn1dfiDnOsJsGUe9Y+C1kM6ncRTXyDC8Q4/2yaxvwpdNlx2balZOaJCWpbvpDZHvBAsFoHNIgjo1c3JSnYNNMmudv73T7PqnIrewfC8MTQCWKAnMBrKPFzcMH/k8woVkGaU2d5DCloGcFlFfvoDUn+yBfxcxshuFnscWCzClPKNDMYvW1pGjTePe186N+7rNfcOUTOHZ5BOxPLKAk53DdIfjHKnnkF95tSFVUmllBxo6WNdjXdaz3c751IPqXa8piMg/dZjJ/nzgTY+ftNKrsjQ+KhcxvisX7OqEqtFJFVIHznczsZP/2VSY4w6+kNJZjDzkY0LvQyGY5y4ANlu72CYFt8QoWicwfCwEmV3o9Y/uqV+ngWkLhuhaJxgZGoS093nepFycvtLCGFWSXPdxNBhs5gV0okqv6Bd0411XrFnWLI7GIoSjMSmvF9T0ROIzKsK6aJSD0LAGy9eNG/XOPOVjAWkQoiFQojHhBBHhBCHhBAf0m/fKIR4XgixVwixUwixPeE5nxBCnBRCHBNC3JCpbZspvG4HFjE755Amcv3qSl4824MvjUYnnf4QNoswDX/mMkVmD6n2vaxAu7iMDEitFsFrttby1ImucSXSTb2Bedk/arCsclhS+8pNNVQWOnnmAmW7TT1D9A1FWD8NQyNIcNmd5Z91SKyQXtjn/dEj7Xz5kePcvrGad1/ekI5Nm3WU5TtwO6ysrS6kxONIqpD+9LmzRGJyUn3jbf3BnF/MZ5pNdVrws+ecb9qvcbh12DG+e2A4ObDzbC8Om4W11fOrR7dQv/5OtaL30tkebBbBxoXeST3eOHZzXRHlsFkIRrTRTPZJuOzCsGy32J3gshuO8qF793DNlx6nXW9Pmi69g+F547ALWg/pXz58BW+/tD7bm6KYYTJZIY0CH5VSrgIuBj4ghFgNfAH4DynlRuDf9d/R73s9sAa4Efi2EGJWlxvedHEd37hz86QybbnM9asricUljx9L32DyTn+IsnxnTti9Z5rihB5SGJbqpro4v3brQoSA/9s5vEiNJ0jUpJQ09w7Ny/5RA6Mfz2G1sLyygB1LynjuVHfSfpoq+1t8wPQMjUBJdkdyssPPh+7dy9rqIj53x/p5m+l+40WL+McbVmCzWij1OOjWTY1afEM8fbILh9XC7/e2jDtXV0pJe3+QBYW5vZjPNPWlbrxuO3sTAtLBUJRf72ziNXc/y533PE9ggvmPh84P96B2JQSku871sqG2yHRanS8Y1b2pjn7Z2djLmurCSSfbZ02FNKFvdDKSXRiW7Ra7HWZ//LnuAH890sH5viDv+snOCY/L8egdnF89pKAlnefD2lCRTMbOvlLKVinlbv1nP3AEqAEkUKg/rAg4r/98G3CvlDIkpTwDnAS2M4upLXbz8vVjz+eaLWyo9VJe4EyrbLfDH8r5bGm6WFFZwM3rFnDpklKAMSW7ANXePK5cXs6vdzYTjcX5rz8f4fIvPGYunnoGwwTCsXk5g9RgcZkHq0WwYkEBDpuFS5eW0T0Y5tgkpI9jcaC5zwxwp4M59mUWy/MNjMSJb2hyFdJvP36Sp04MJ6v6hiK8+6e7cNktfPfNW+aNO2Qqrltdydt2LAagNN9hVuV+s6sZKeHfXrGKnsEwfzs6dt94/1CUUDSe84v5TCOEVpHbfa6XXY29/NN9+9n+2b/yj/ftp9Mf4vkz3Xz01/vGTUwdOj9cITVG8AQjMQ629LFlHo17MSh06QHpFPpIw9E4+5p8bJ3CPFwjmZLrx3BiQmIypkagOe0CFHvsOG0WbBbBH/adJxaXfPT65Rw838dHfjX+cTkW4Wgcfyg6ryqkivnLjKQDhRD1wCbgBeDDwBeFEE3Al4BP6A+rARK1S836bSNf6y5d6ruzszN9FTvF2FgsgutWVfD4sY5pjYL4wdNneNlXn0gykej0h+bFDFLQRoJ8+41bTPOGqiIXNoug1JP6/b9+20La+oP8v/v2c8+Tp2nxDfFffzoCzG+HXQOnzcrVK8q5YY1muLVN72Pa1+QD4IXT3Xz2T4entADY39zHqqqCaVdI8uaQZNfjsGK3CnoGJ16kPneqmy88dIz/eOAwUkpiccmH7t1Dc2+A77xpC9Xe+XucjqTE46RnMIyUkvt2NbNjaSl3bq+josDJfbvGlu226ZK/XF/MzwSbFhZzomOAO77zLA/sP8/N66q4772X8NjHruJfbl7FgwfbePdPd47Z8nD4fD9rqrV8uCGfPtDSRyQm552hEWhjX4ApjX45eL6PUDRunncnw3CFNLev+Ynn/8kq2161uYYPX7fMNB3zOG10+kMsLvPwwWuW8q8vX81Dh9r4wsPHprw9RttEsQpIFfOAjK+ehBD5wG+AD0sp+4UQnwH+QUr5GyHEa4EfANcBqT79o1aUUsp7gHsAtm7demF2e4pJc/3qSn75YhPPnermqhUVU3ruL188x8mOAdr6g1QVaQvUzoHQtPv1Zjtv37GYHUvLxgx+rl1VSVm+g9/taeHSJaVsWOjlO4+f4o4ttfTqF6j53EMK8P23bjN/Xljsxu2wmhXSHz5zhocPtVNf5uGNFy2a8LXiccnBlj5u2zT9Adwex9wxNRJCUFHg4p4nT7Gvycfdb96S0tFZSsnnHjyC1SI42THAC2d6ePxYJ48f6+Szr1zLtilUUOYDpXoP6anOQc71BHjPlQ3YrBbu2FLLPU+e5ksPH2PDQi8bFhYlmb21q4DU5LaN1Rxp7efqleW8fH110gihd16mVaK/8shxrvvKE3zg6qXcdUWDWaEfCsc41TnAXVcs4dD5frNavfOsbmg0HwPSaVRId57V5upOpaJ868Zq4lJSl+PXrUSH9cnMIQXtWvzh65abv+c7bfQNRXj5uiqEELxjRz2nOwe4+4lTNJR5eO22heO+3vF2Pz965gxvuaQeo9OhZJ5JdhXzk4xWSIUQdrRg9OdSyt/qN78VMH7+P4Zluc1A4ie1lmE5ryLLXLqkDLfDOmXZ7ol2Pyc7BgA41qYFDLG4pHtg/kh2R1LscXBRQ+mY99utFt575RJWLijgG3du4kPXLmNRqZt//f1BTnUMAvO7QjoSi0WwrLKAY21+4nHJC2e0BdPn/nx0UoYSjT0B/KHotPtHYTgQnSszNn/yju285ZJ6njvdzUv6/hzJnw60sq+5j0/duoaiPDv//NsD3P3EKd5wUd2kEgHzjbJ8B/5Q1DyHXrFMcx1+6yX1rK8t4jtPnOLdP93J9s8+yuu++5ypRjEqpAtUQEp9mYe737yF122rG/VZE0Lwrssb+OtHruS6VZV85ZHj3PA/T/LYMU0OfbStn7jU3HoLXTazn3dXYw8N5Z55KYs0TI2mMvrlpbO91Je6p3T9rihwcdcVS3K+l9xIEtssYtrbahyXRruWEIJP3bqGy5eV8c+/O8CzYzjCdw+E+NffH+DG/3mSX77YxJ/2t9IzaFRI5775o0KRSZddgVb9PCKl/ErCXeeBK/WfrwFO6D/fD7xeCOEUQiwGlgEvZmr7FFPDZbdyxbJy/nqkfUpSyD8faDOzfMZ4g+7BEHGZ+4572eRdlzfw4IcupzTfictu5TO3r+VM1yD3PHkKr9tOgUtdoBJZUZnPsTY/x9r9+AIR/v6apYRicT75h0MTPnd/sw9g2iNfYNhl1z1HAtKlFfl87IYVgLaQH0k4GucLDx1j5YIC3rC9jtdsqeV01yDb6ov51C1rZnpzZwUlukT/93taaCj3mCqHBUUufvf+HRz81A3c995L+PB1y3jhTA9f0iV+HXpAWpHjcsdcodqbx7feuJn/fedFWC2Ct//oJd79051mImBNdSFl+U46B0JIKdnV2MuWuvlXHQUo8TgocNrYq7c7TISxv6bSPzqbcOp9oxdiRFnkttNQ7mHlgmE/ArvVwjffsJnFZR7e97+7Od05YN4Xjsb5/lOnuepLj/PLF5t4yyX1lHoctPcH6dXbJuZjskQx/8jk6mkH8GbggBBir37bPwPvBr4mhLABQeAuACnlISHEr4HDaA69H5BSXvgQJ0XauG51JQ8dauNASx8bJmn3/uDBVrYtKuFs9yDH2rSTsDGD1HCbVaQmMUN7+bJybt9Yze/3nmddeX4Wtyo3WbGgkF/vbOaP+zVRxeu21+G0W/niw8d4+FAbN6xZMOZzDzT34bRZWFY5/f1qzJ8zvs8F8p026krcHGkbbRb18xcaOdcT4Mdv34bVIrjrygaicckHrl4675xKJ0tpvraoPNbu520pRhrkOaxsrS9ha30J3QNhvvfUGa5aUUFbfxCv2z6vzaGmw2XLynjoQ1fwg6fP8PVHT/DI4XaK8uzUFueZBlOnuwbpDUTYOs/mjxrYrRauX1PJw4fa+Owr1yZJVlNxumuQnsEwW+eovNk4d03W0CgV/3nbWoRgVIW1KM/OD9+2jdu/9Qzv+PFL/O79O3jpbA//9ecjnO0OcNWKcv715atYWlHA7nO9tPtD9OgtOkqyq5gPZGz1JKV8mtR9oQBbxnjOZ4HPZmqbFBfGNSsrsAj465H2SQWkZ7oGOdrm599fsZrHjnWYFVIjIFUZ/6nxr69YzWPHOlms28wrhjGy0b98sYm6Ejc13jzuuqKBB/ad59//cJBLlpSa/VIj2d/Sx+rqwgtahGyo9fLl12zgsqVl036NXGTlggKOtiZXSPuDEb7+6Al2LC3lyuWa7LSiwMWnblWV0fEoTahyXLmifNzH/vPNq3j2VBcf/fU+6krcVBYoue50cNgsvO+qJdy2sZovPnyMqiLNeKbU4+RU5wC7Gudv/6jBLeur+e3uFp4+0cW1qyrHfazRPzpXK6SmZHeSI19SsWLB2E7tC0vc3POWLdz5vRe46kuP0zcUYWlFPj96+zauTvDmqCx00dQToFeX7HpVQKqYB6hUtmLSlHgcbK0vmXQf6WP6KIPrVlWyvLKAEx1+YnGZUCFVi6ypUJbv5IEPXsYnb1md7U3JOYxxLT2DYS5u0BZLdquFz92xng5/iC88dDTl8+JxyaGWPtZfQP8oaH2sd2ypvaCgNhdZWVXIma5BgpFhscp3nzhFbyDCJ25alfM9YblEqa4IcdgsXLx47B5y0KqlX3v9JroHQ7x4tofKInWuvBCqvXl89XUb+ccbVwL6CJ7BMLvO9uJ122kom7+qkx1LyyjKs/PH/a0TPnbn2V6K3XaWlM/NpKgxh9Rmydx5fMuiEr7y2g0Uu+38x61rePBDlycFo6C5Ebf3B+kZDFPgtCnViWJeoI5yxZR42epKjrb5OZXQAzEWjx3rYEm5h7pSNysqCwhG4jT1BOjU3Q3LClTWb6rUlbrNha1imPICp1mBumTJ8GJ/40Ivb7u0nv99/pyZ3U/kdNcgg+EYay8wIJ2rrFpQQFxiGpO19g3x/afOcPvGarXPpogh2d1eX0LeJNyY19YU8ZHrtT7eStVvn1bK8p30BsK8eLaHLXXFWC6gZ3C247BZuGFNJY8cbk9KPKViZ2MvWxaVzNlEVKKpUSZ5xfpqHv9/V/PWS+tTJjErC1z0BiJ0+INq5Iti3qACUsWUuGHNAhw2C7d842n+689H6PCndjENhKO8cLrHzPwt12Usx9r9dPSHyHfaTCMYhSIdGFKpi0ZUnz72shXUePP4+G8PjJqje6DFB8D6Wu9MbOKsY2WVNrPxiC7b/eojx5ESPvqyFdncrFlJgdPG1kXFvGZr7aSfc9cVDbzt0npu3Tj9kUSK0ZTlO5BSayvZPI/lugavWF/NQCjKE8dTz3YPR+P85x8Pc6ZrMCnhN9dIh2Q3HRgjno62+Sl2KwNDxfxABaSKKbGwxM2f/u4yrl9dyfefOs3ln3+MT91/iLa+5MD02ZPdhGNxrl6pBaTLKjRJ1PE2P50DISpUxl+RZq5dVcnly8qo9iaPxPE4bXzm9rWc7BjgO4+fMm8/0zXINx49SVHe3JWgXSh1JW7y7FaOtvk52tbPfbuaecsli+b9HNzpIITgvvddym0bayb9HKvFGBkxfs+pYmokqkzmqkHPVLhkSSnF7tSy3cbuQV5997P84OkzvPWSRbzp4rosbOHMkA5To3Rg+Guc7RpUFVLFvEGVqBRTZlllAV97vTYf89uPn+JnzzfyixfO8dpttbz3yiXUFrt57FgHHofVdC/06I6dx9r9dPpDlKmAVJFm3nnZYt552eKU9129soJbNlTz7cdO8Yr1VXT0h3jfz3djEfC9t2zFNsd6P9OF1SJYvqCAo239fP7Bo+Q7bXzwmqXZ3iyF4oIw5P02i1DqCLQA7Ma1VfxhbwtD4ZgpKX9g33k+8dsDWATc/aYt3Lh2bLfyucBwD2luVEjjUjnsKuYPKiBVTJuG8ny+9JoN/P01y/jOEyf51UtN3PtiE3dsruXJE51curQsyUZ+eWUBL57pIRSNc9myueVGqsh9/v0Vq3nyeCfv/MlOWnqHWFzm4Qdv3UZdqar2jcfKygJ+u6eZSEzyiZtWKsdHxazHSIiuqSmaVD/vfOCW9VX88sVz/O1oB9esrODTfzzEL19sYnOdl6/fuYna4rl/nnTaL3wOaTpYUDhsYqYqpIr5gioLKC6YulI3//2q9Tz+/67mDRfV8bu9LbT2BUc5x62qKqDDH6LE4+A9VzRkaWsV85XyAif/8vJVNHYHuGxZGb99/6UqGJ0EK6sKiMQk1UUu3ppifqZCMdso82gB6ZY6Jdc12L64hLJ8Bz959iy3fetpfvliE++7agm/es8l8yIYBXBac0Oy63XbzWptiQpIFfMEVSFVpI0abx6fvm0tH7h6KX890s6rNif3Sr3zssWsqyni6pUVWT/hK+Ynr9lSy7qaIpZV5CuZ7iQxZg5/7IYVuOyqmqSY/RS57fz3q9ZxxXLVm2tgs1q4aW0VP3u+kVKPg5+8Y7s5Z3i+kCumRkIIKgqdNPcOUawUKYp5ggpIFWmnstDFGy9aNOp2r9vBy9bM7R4URW4jhGCV7hyrmByb64r520evpKF8/s5qVMw97tw+d815pstdVzTgsFl4zxUNVBTOv9m3MzX2ZTJUFrpo7h2ixKNcdhXzAxWQKhQKhWJcVDCqUMx9Fpa4+bdXrM72ZmSNYVOj7KtnKnWnXVUhVcwXsv+pUygUCoVCoVAosohDN2HMtmQXoKJAq1CrHlLFfEEFpAqFQqFQKBSKeU2uzCEFqPaqgFQxv1CSXYVCoVAoFArFvMYISLM99gXgdVvrWFTqoTRfzWxXzA8ylgYSQiwUQjwmhDgihDgkhPiQfvuvhBB79a+zQoi9Cc/5hBDipBDimBDihkxtm0KhUCgUCoVCYeAwx75kPyAtctu5QZlAKuYRmayQRoGPSil3CyEKgF1CiEeklK8zHiCE+DLQp/+8Gng9sAaoBv4qhFgupYxlcBsVCoVCoVAoFPMcpy13TI0UivlGxj51UspWKeVu/Wc/cAQwB1MKIQTwWuCX+k23AfdKKUNSyjPASWB7prZPoVAoFAqFQqGAhIA0ByqkCsV8Y0bSQEKIemAT8ELCzZcD7VLKE/rvNUBTwv3NJASwCa91lxBipxBiZ2dnZ4a2WKFQKBQKhUIxX8ilOaQKxXwj4wGpECIf+A3wYSllf8JddzJcHQVIdQaQo26Q8h4p5VYp5dby8vL0bqxCoVAoFAqFYt5hBqQ54LKrUMw3MuqyK4SwowWjP5dS/jbhdhvwKmBLwsObgYUJv9cC5zO5fQqFQqFQKBQKhTn2RVVIFYoZJ5MuuwL4AXBESvmVEXdfBxyVUjYn3HY/8HohhFMIsRhYBryYqe1TKBQKhUKhUChg2GVXVUgVipknkxXSHcCbgQMJo13+WUr5ZzQ33US5LlLKQ0KIXwOH0Rx6P6AcdhUKhUKhUCgUmUb1kCoU2SNjAamU8mlS94UipXzbGLd/FvhsprZJoVAoFAqFQqEYiUO57CoUWUPpEhQKhUKhUCgU8xqn1QqoOaQKRTZQnzqFQqFQKBQKxbzGaddNjVSFVKGYcTLqsqtQKBQKhUKhUOQ6LruVz75yLVcsUyMFFYqZRgWkCoVCoVAoFIp5zxsvWpTtTVAo5iVKsqtQKBQKhUKhUCgUiqygAlKFQqFQKBQKhUKhUGQFFZAqFAqFQqFQKBQKhSIrqIBUoVAoFAqFQqFQKBRZQQWkCoVCoVAoFAqFQqHICiogVSgUCoVCoVAoFApFVhBSymxvw7QRQnQCjWl4qTKgKw2vo1D7Mt2o/Zle1P5MH2pfphe1P9OL2p/pQ+3L9KL2Z3rJxv7sklLeOMN/c04zqwPSdCGE2Cml3Jrt7ZgLqH2ZXtT+TC9qf6YPtS/Ti9qf6UXtz/Sh9mV6Ufszvaj9OTdQkl2FQqFQKBQKhUKhUGQFFZAqFAqFQqFQKBQKhSIrqIBU455sb8AcQu3L9KL2Z3pR+zN9qH2ZXtT+TC9qf6YPtS/Ti9qf6UXtzzmA6iFVKBQKhUKhUCgUCkVWUBVShUKhUCgUCoVCoVBkBRWQKhQKhUKhUCgUCoUiK8zJgFQIsVAI8ZgQ4ogQ4pAQ4kP67SVCiEeEECf078X67aX64weEEN8c8VoPCSH26a9ztxDCmo33lC3SuS8TXvN+IcTBmXwfuUKaj83HhRDHhBB79a+KbLynbJLm/ekQQtwjhDguhDgqhLgjG+8pW6RrXwohChKOyb1CiC4hxP9k6W1ljTQfm3cKIQ4IIfbr16SybLynbJLm/fk6fV8eEkJ8IRvvJ5tMY19eL4TYpR+Du4QQ1yS81hb99pNCiK8LIUS23le2SPP+/KwQokkIMZCt95Nt0rU/hRBuIcSf9Ov5ISHE57L5vhQTIKWcc19AFbBZ/7kAOA6sBr4AfFy//ePA5/WfPcBlwHuBb454rUL9uwB+A7w+2+9vtu5L/f5XAb8ADmb7vc32/Qk8DmzN9nuaQ/vzP4DP6D9bgLJsv7/Zui9HvO4u4Ipsv7/Zuj8BG9BhHI/68z+V7fc3i/dnKXAOKNd//wlwbbbfX47vy01Atf7zWqAl4bVeBC5BWyM9CNyU7fc3y/fnxfrrDWT7fc32/Qm4gav1nx3AU/Px+JwtX3OyQiqlbJVS7tZ/9gNHgBrgNrSLD/r32/XHDEopnwaCKV6rX//RhnZAzysXqHTuSyFEPvAR4DOZ3/LcJJ37U5H2/fkO4L/1x8WllF2Z3frcIhPHphBiGVCBthCYV6Rxfwr9y6NXnwqB8xl/AzlGGvdnA3BcStmp//5XYF6pIaaxL/dIKY1j7hDgEkI4hRBVaEn756SUEvip8Zz5RLr2p37f81LK1hnc/JwjXftTShmQUj6mPyYM7AZqZ+yNKKbEnAxIExFC1KNlT14AKo0Puv59UhJHIcTDaBlqP3BfZrY090nDvvxP4MtAIFPbOJtIx7EJ/EiXRf7bfJRKJXIh+1MI4dV//E8hxG4hxP8JISozuLk5TZqOTYA7gV/pi9V5y4XsTyllBHgfcAAtEF0N/CCT25vrXODxeRJYKYSoF0LY0Ba1CzO3tbnNNPblHcAeKWUILUhoTrivWb9t3nKB+1MxgnTtT/0afwvwaCa3VzF95nRAqlfkfgN8OKHSOWWklDegSQicwDUTPHxOcqH7UgixEVgqpfxdurdtNpKmY/ONUsp1wOX615vTtX2zjTTsTxta5vQZKeVm4DngS2ncxFlDus6bOq8HfnnhWzV7ScO5044WkG4CqoH9wCfSupGziAvdn1LKXrT9+Su0yv1ZIJrObZwtTHVfCiHWAJ8H3mPclOJh8zb5lIb9qUggXftTTzz9Evi6lPJ0JrZVceHM2YBUv4j/Bvi5lPK3+s3tusQE/XvHZF9PShkE7keTDMwr0rQvLwG2CCHOAk8Dy4UQj2dmi3ObdB2bUsoW/bsfrS93e2a2OLdJ0/7sRqvcGwmT/wM2Z2Bzc5p0njeFEBsAm5RyV0Y2dhaQpv25EUBKeUqvNP8auDQzW5zbpPHc+YCU8iIp5SXAMeBEprY5V5nqvhRC1KKdH98ipTyl39xMsgSylnkoJ4e07U+FTpr35z3ACSnl/2R8wxXTZk4GpLp08QfAESnlVxLuuh94q/7zW4E/TPA6+QkHvw24GTia/i3OXdK1L6WU35FSVksp69GMJo5LKa9K/xbnNmk8Nm1Cd9rUT9yvAOadc3Eaj08JPABcpd90LXA4rRub46RrXyZwJ/O4OprG/dkCrBZClOu/X4/WUzWvSOfxKXRHct2l8/3A99O7tbnNVPelLnf8E/AJKeUzxoN12aRfCHGx/ppvYfLnhzlDuvanQiOd+1MI8RmgCPhwZrdaccHIHHBWSvcXWsAj0aRNe/Wvm9Hc9R5Fy4Y+CpQkPOcs0AMMoGX9VgOVwEv66xwCvoGW8c/6e5xt+3LEa9Yzf11203VsetDcS41j82uANdvvb7buT/32RcCT+ms9CtRl+/3N1n2p33caWJnt9zUX9ieaU+wR/bUeAEqz/f5m+f78JVrC6TDzzDl/OvsS+FdgMOGxe4EK/b6taMnQU8A3AZHt9zfL9+cX9GM1rn//VLbf32zdn2gVe6mfO43b35Xt96e+Un8J/Z+pUCgUCoVCoVAoFArFjDInJbsKhUKhUCgUCoVCoch9VECqUCgUCoVCoVAoFIqsoAJShUKhUCgUCoVCoVBkBRWQKhQKhUKhUCgUCoUiK6iAVKFQKBQKhUKhUCgUWUEFpAqFQqGYkwghPiWE+Ng4998uhFg9k9ukUCgUCoUiGRWQKhQKhWK+cjvaXF+FQqFQKBRZQs0hVSgUCsWcQQjxL8BbgCagE9gF9AF3AQ7gJPBmYCPwR/2+PuAO/SW+BZQDAeDdUsqjM7j5CoVCoVDMO1RAqlAoFIo5gRBiC/Bj4CLABuwG7gZ+JKXs1h/zGaBdSvkNIcSPgT9KKe/T73sUeK+U8oQQ4iLgv6WU18z8O1EoFAqFYv5gy/YGKBQKhUKRJi4HfielDAAIIe7Xb1+rB6JeIB94eOQThRD5wKXA/wkhjJudmd5ghUKhUCjmOyogVSgUCsVcIpXs58fA7VLKfUKItwFXpXiMBfBJKTdmbMsUCoVCoVCMQpkaKRQKhWKu8CTwSiFEnhCiALhFv70AaBVC2IE3Jjzer9+HlLIfOCOEeA2A0Ngwc5uuUCgUCsX8RPWQKhQKhWLOkGBq1Ag0A4eBQeAf9dsOAAVSyrcJIXYA3wNCwKuBOPAdoAqwA/dKKT89429CoVAoFIp5hApIFQqFQqFQKBQKhUKRFZRkV6FQKBQKhUKhUCgUWUEFpAqFQqFQKBQKhUKhyAoqIFUoFAqFQqFQKBQKRVZQAalCoVAoFAqFQqFQKLKCCkgVCoVCoVAoFAqFQpEVVECqUCgUCoVCoVAoFIqsoAJShUKhUCgUCoVCoVBkhf8Pk/S5vJ9lOzsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 938.5x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(tsPandas2,row = 'pivot',height = 3,aspect = 4)\n",
    "g.map_dataframe(sns.lineplot,x = 'date',y = 'Value',hue = 'Index',style = 'reducer')\n",
    "g.add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Is there any relationship between NDVI and temperature?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reducer</th>\n",
       "      <th>date</th>\n",
       "      <th>pivot</th>\n",
       "      <th>Index_x</th>\n",
       "      <th>Value_x</th>\n",
       "      <th>Index_y</th>\n",
       "      <th>Value_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.137762</td>\n",
       "      <td>B10</td>\n",
       "      <td>306.408830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>0</td>\n",
       "      <td>B4</td>\n",
       "      <td>0.239893</td>\n",
       "      <td>B10</td>\n",
       "      <td>306.408830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>0</td>\n",
       "      <td>B5</td>\n",
       "      <td>0.316394</td>\n",
       "      <td>B10</td>\n",
       "      <td>306.408830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>1</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.343453</td>\n",
       "      <td>B10</td>\n",
       "      <td>303.716339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>1</td>\n",
       "      <td>B4</td>\n",
       "      <td>0.142119</td>\n",
       "      <td>B10</td>\n",
       "      <td>303.716339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3460</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>1</td>\n",
       "      <td>B4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3461</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>1</td>\n",
       "      <td>B5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3462</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>2</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3463</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>2</td>\n",
       "      <td>B4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3464</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>2</td>\n",
       "      <td>B5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3465 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     reducer                date  pivot Index_x   Value_x Index_y     Value_y\n",
       "0       mean 2013-03-29 18:11:42      0    NDVI  0.137762     B10  306.408830\n",
       "1       mean 2013-03-29 18:11:42      0      B4  0.239893     B10  306.408830\n",
       "2       mean 2013-03-29 18:11:42      0      B5  0.316394     B10  306.408830\n",
       "3       mean 2013-03-29 18:11:42      1    NDVI  0.343453     B10  303.716339\n",
       "4       mean 2013-03-29 18:11:42      1      B4  0.142119     B10  303.716339\n",
       "...      ...                 ...    ...     ...       ...     ...         ...\n",
       "3460    mean 2021-12-31 18:15:25      1      B4       NaN     B10         NaN\n",
       "3461    mean 2021-12-31 18:15:25      1      B5       NaN     B10         NaN\n",
       "3462    mean 2021-12-31 18:15:25      2    NDVI       NaN     B10         NaN\n",
       "3463    mean 2021-12-31 18:15:25      2      B4       NaN     B10         NaN\n",
       "3464    mean 2021-12-31 18:15:25      2      B5       NaN     B10         NaN\n",
       "\n",
       "[3465 rows x 7 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfinal = tsPandas.merge(tsPandas2, on=['date','reducer','pivot'])\n",
    "dfinal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reducer</th>\n",
       "      <th>date</th>\n",
       "      <th>pivot</th>\n",
       "      <th>Index_x</th>\n",
       "      <th>Value_x</th>\n",
       "      <th>Index_y</th>\n",
       "      <th>Value_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-03-29 18:11:42</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.137762</td>\n",
       "      <td>B10</td>\n",
       "      <td>306.408830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-04-22 18:10:46</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.141594</td>\n",
       "      <td>B10</td>\n",
       "      <td>307.296102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-05-24 18:11:02</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.164506</td>\n",
       "      <td>B10</td>\n",
       "      <td>307.978358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-06-09 18:11:00</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.207524</td>\n",
       "      <td>B10</td>\n",
       "      <td>308.635887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>mean</td>\n",
       "      <td>2013-06-25 18:10:56</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.324716</td>\n",
       "      <td>B10</td>\n",
       "      <td>299.764536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3420</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-10-28 18:15:36</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.329083</td>\n",
       "      <td>B10</td>\n",
       "      <td>287.344539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3429</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-11-13 18:15:32</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3438</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-11-29 18:15:32</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>0.638640</td>\n",
       "      <td>B10</td>\n",
       "      <td>287.381068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3447</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-15 18:15:31</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3456</th>\n",
       "      <td>mean</td>\n",
       "      <td>2021-12-31 18:15:25</td>\n",
       "      <td>0</td>\n",
       "      <td>NDVI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>385 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     reducer                date  pivot Index_x   Value_x Index_y     Value_y\n",
       "0       mean 2013-03-29 18:11:42      0    NDVI  0.137762     B10  306.408830\n",
       "9       mean 2013-04-22 18:10:46      0    NDVI  0.141594     B10  307.296102\n",
       "18      mean 2013-05-24 18:11:02      0    NDVI  0.164506     B10  307.978358\n",
       "27      mean 2013-06-09 18:11:00      0    NDVI  0.207524     B10  308.635887\n",
       "36      mean 2013-06-25 18:10:56      0    NDVI  0.324716     B10  299.764536\n",
       "...      ...                 ...    ...     ...       ...     ...         ...\n",
       "3420    mean 2021-10-28 18:15:36      0    NDVI  0.329083     B10  287.344539\n",
       "3429    mean 2021-11-13 18:15:32      0    NDVI       NaN     B10         NaN\n",
       "3438    mean 2021-11-29 18:15:32      0    NDVI  0.638640     B10  287.381068\n",
       "3447    mean 2021-12-15 18:15:31      0    NDVI       NaN     B10         NaN\n",
       "3456    mean 2021-12-31 18:15:25      0    NDVI       NaN     B10         NaN\n",
       "\n",
       "[385 rows x 7 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "select_color = dfinal.loc[(dfinal['Index_x'] == 'NDVI') & (dfinal['Index_y'] == 'B10') & (dfinal['pivot'] == 0)& (dfinal['reducer'] == 'mean')]\n",
    "select_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: title={'center': 'Center Pivot 0'}, xlabel='B10', ylabel='NDVI'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TOlNsX7UUgPffsXXMTOjSd9UI8x173uDq+58dURQAx3Z38M1rF3tmR9VCKdNpUld6JE0XGFPf6v13/OuY9S2gMP9i7fIFnsK+/5VDhYl+FSoa1tIvRmshIs+r6qJaf2+WhZFoKgWXoTBHwaksaimtHUaV3CCUxzTcLKa1yxeMsZY6UsJtl8xn2cKZnmm1+w8epSPlHUQHKzlu1I8pCyPR+AnyMIR8pYyrHXveCD3NdGAwQ9/+g9xcXCXPmc21ZeW5pFOjq+tl88qaLbtBYc1ju8e5lcoLEnpR3i9RLnlrtCamLIxE4CW8/CaThTXRrDwmUVobI2yff8maSImMczd1plL07nljnLWUEuH2R/vI5sYqlnknT2HVw+MVRXeH8LHfnM36nr2u/RLlkrdG6xKpshCR84G7gDRwv6reUfb9VOCbwJxiW76iqv87yjYZycNPeFUKLoc50azkJqq2xEhQnMd1YzifZ+HsaeOspbeGxruXSoplXInxrjT3Xv0ePnD6iXz2w6fTt/8gICNptFFdm9H6RKYsRCQN3AP8NrAXeE5ENqvqbsduK4DdqnqJiJwA/ERE1qnqUFTtMpJFUOFVaTJZ2BPNwloW1snAYIYnX3yVjtT4iXLHdKbJo9x60TwOD+W49eJ5rNmym3RKOJxxj0N4KZa8KvNnTAVwLcAYxnKsRnsSpWVxDtCvqj8HEJEHgUsBp7JQ4FgpLEw8GfhPYPwMI6NliUIw10vYAe+S5ZQWGZlkV6IzLXx5+VkcPDI8JiZx60Xz6O5IcfvmvnG/6SquZDf3pGM93XBeSnjLynNjCeYbrUeUymImsMfxeS+wuGyfu4HNwH7gWOBjquNXlBGR64DrAObMmRNJY43GEFcmUjXUU3SvPPbi5XrqSgtDOSWdEm7csINcPk82z4hgX/PYbrasPJdMdqyiSAs8/kejhQe93HBeSvjwUM4KCho1EaWycFuVpTwR/CNAL7AU+DXgCRH5vqq+OeZHqvcB90FhnkX4TTUaRVKrodYSC3GLvbi5fY7pTI2UAPGKX3SmUuw/eISC0T36yKdSwnGTusbs611mxF0JL5g9zQoKGlUTpbLYC8x2fJ5FwYJw8ingDi3MDOwXkV8AZwD/FmG7jISR1Gqo1cRCqnH7ZPNKd0eK4QrzIgq/ESZ0pMfUfprQkQ7kops+ubuwPvejfXSmUyPFCJ0ly5PSz0ZzEGVtqOeA00TkVBHpAq6g4HJy8jLwYQAROQl4F/DzCNtkJJRK63UPDGZCqXEU1nHc8FoituT2cdaVuv2S+WTLigt2poXuDhlTe2r+jCk1u+g29e5jzWO76eooWDG3XjzP0mONuojMslDVrIisBL5LIXX2H1S1T0SuL35/L7AG+EcR+TEFt9UqVT0QVZuM5iOsOQFRzy2o1u1z7IQO1/Uvyq2rWlx0bnGSNVt2c/78t5s1YdSM1YYyEkululDVLp0axnH82Ny7r6rifUFnUVc72zquWldGc2G1oYzIaHRJiLDSauNKz6029hI0blBtfCGJGWZG82PKwnAlCSUhwhJ6cQrPRgWOyxV7vRlmjR4oGMnDlEUTEPeLm5SSEGGl1SY1PTcsvBR7rRlmSRgoGMnDlEXCacSLm6RZ1WGl1fodpxEj6TDO2f/KIW7auJOhrLtir/a4SRkoGMnDlEWCadSL6+a2yeTyTOpKR3bOSoTl2vE6TiMUchjn3NS7j5s27Bi36FE9ij1JAwUjWdga3AnGK3e/tPBPVDjXnJ7QWTi/qHLx3dvGrE0dB1HOjSgdv6SQD2WyHB3Oc/PDOyNdtzqMc5aO4bY6Xj3xGAuOG16YskgwjXxxly2cyZaV55IvTh7L5DQWQepkU+8+lty5lavvf5Yld26NRFE1QiFXOmdQ5eh2DBgtMlirFeAcKDgnCJpVYZgbKsE0OjB7eChHd0eaIUe5ibhcEnG54BqhkL3OuWvfQT5239OBXFNux+hKy5gig7WS1PIrRmMxyyLhLFs4k+2rlvLNaxezfdXSWLNSGmnZxDXib8RI2u2ct140jzWP7Q7smnI7xlc+uqBuReE8vlf5FaM9McuiCWhU7n4jLZtqFFW9WUWNGEmXn7OWwLJZAEacmLIwKtIogeRUVOmUMJwrFMMrP39YmUz1KuRKCqvS+uLOz7VYcVY91ogLUxaGL40SSMsWzuTQ0exIme01W3ZzbHfHiDJIypyATb37uHljQanl8sra5aMKK6gya3R8yjD8MGVhJJaBwQxrHtvNUE4ZKq794FQGSZgTMDCY4fMbdjDsSGG9ccMOlsw9HqAqZWZuJSPJmLIwEoufMkjCnIC+/QfHKAqA4ZzSt/8gUyd2Va3MzK1kJBXLhjISi58ySMacALfVgwvbZx03kaNla2gfzeZsgpvRlJhlYSSWIH78Rrtu5s+YQkcKsg6d1pEqbAcoXy+m2daPKWFVaA1TFkaiCaIMGum6mT65m7+6fCE3bdxBWlLkNM/a5QsAePLFV+nuSJMdGrUuJnZ2NE2dpZKC2LXvIGse221VaNscUxZG4qlHGcQxIi5XaNv6D7Dkzq10pITDQ2PdUH4xlaSM4Nc980tWb9lNp+MarApte2PKwmhZ4qwmW1JobutfA0zqSpNTrRhTqba9USmWdc/8klu+swuAIZfvrQpte2LKwmhJGjUHwy2Da1J3mtWXzOe8M070PHe17Y1KEQ4MZlj9aF/FfawKbXti2VBGS9Ko8u5uGVy5vFZUFFBde6Msq7739SN0pt3FwqSutFWhbWPMsjCaGi9XTLVzMMJy6QSdiV1+vmraG+VkxFnHTSTnkrH1pxecweJ3Tm94LMVoHKYsjKalkiumktAuF9Rhu3T8Mri8zhe03EeUkxHH1OQSYTiX5/ZL5nPVe0+p+9hGcyPNlve9aNEi7enpaXQzjAYzMJhhyZ1bxwSSJ3Sm2L5q6RgB66cYbr14Hmu27PY9TlztDmrhbO7dN06xhBm8T0pWlhEeIvK8qi6q9fdmWbQI7fZyB3XFONNu3YLIqx8tpIc6iTLbx6/dQdOEo56MaGVHjHJMWbQA9bhRmlXJ1OKKcRXUaWE4G199qTBdSCbQjTixbKgmp57MmDjWuPYj6JrT5dRSF8orU+n2S+bHVl8qGfWsDKN6zLIIiUaN0GvNjEnCWhD1BpardcV4Bb2XLZzJ+We+Pbb71+h6VlHh9Q40q/VqjMWURQjEOVPYycBghoNHhhnKVe/WaPRaEFEqq0rCyUtQh+XSCSoYm8GFVI2Q93oHGvVuGOFjyqJOGjVCd76EuXyezrQwoSMdeIW1en3n9Y4Ww1BWboJIwVc4RSWokyAYwxrFV3MtXu/AvJOnNNx6NcLDlEWdNGKE7vZydnfAPVf9BvNnTA103nqW8QxDKIahrMr74KaNOwElk9XYhVMruPVKVHstXu9A7543Gr6SoREepizqpBGrtbm9nF3pNFMndlX1EtbiOw9LKNa75rRbH6RTAirAaKXXuIRTK7n1qr0Wr3dg4expDV/J0AgPy4aqk0Zkt4Sdfrlg9rSqhbSTWmsuLVs4k+2rlvLNaxezfdXSqkbBXplNOW2McGr0Eq9h3pdqr8XrHZh70rGW+dVCmGURAnFnt9Q7Kq+HsIViPfGDFR+ay91P9tOVHu0DoOp+CcPPX809iSI7KOwBRLXPl9c70KqZX+1IpOU+ROR84C4gDdyvqne47PMh4G+ATuCAqn6w0jGt3McojUpJjLrUhB9O3/xQLsfK807jysVzxszUrjeLp1b8zh1lEDzs+2Ipr61FveU+IlMWIpIGfgr8NrAXeA74uKruduwzDfgBcL6qviwiJ6rqq5WOa8oiGTRKkAStCRX3sZJyPhPwhhdJrg11DtCvqj8HEJEHgUuB3Y59rgS+raovA/gpCiM5NGqeQJiB5LiD0nGcrxnmbxjNSZQB7pnAHsfnvcVtTk4HjhORp0TkeRG5xu1AInKdiPSISM9rr70WUXOTR62lMFqZMH3zcQelGx0EN4x6iFJZiMu2cp9XB3A2cBHwEeBWETl93I9U71PVRaq66IQTTgi/pQkkCXWbkkiY2WdxZ7JZXSijmYnSDbUXmO34PAvY77LPAVU9DBwWke8BCyjEOtqWJEzwCpswfelhZtjEka3jvHbLDvLH4i7JJEpl8RxwmoicCuwDrqAQo3CyCbhbRDqALmAx8NcRtqkpaPQEr7CJIgMoTN98lH5+r2tvxvsYB5t693Hzxh2kJUVO86xdvsBqSSWEyNxQqpoFVgLfBV4A1qtqn4hcLyLXF/d5AfhnYCfwbxTSa3dF1aZmoZV82/WUUK/3vI2O9zTq2puVgcEMN67vJZNV3hrOkckqN6zvtf5KCJFOylPVx4HHy7bdW/Z5LbA2ynY0ilrN6UZOugsD53U3wkpqREE/t3vdahaikyhcRX3736RsHSqy+cL2D5zeHrHKJGMzuCMi7rUaksK4Na4vmherldSIeI/XvW5GCzGIEohOGXvN+Ypu4rARHKsNFQFhuR+qrdvUaNyue81ju7n14nmxZQCFWSMpCJXudaOzn6p1xQXJwIvStTZ/xlQ602XroaeF+TOm1n1so37MsoiAVnY/VMLrus+cMZXtq5bGYiXFPZr3u9eNshCrHf0HtciifLanT+7mqx9dwE0bd5JOCbm8snZ587hfWx1TFhHQjO6HMKh03XHNLI473hPkXsc9q7oWV1xQJRD1s92s7td2wNxQEdBo90OjSMp1e5U+jyJDKinX7KQWV1w1SmDFh+bS3RHd9Tab+7VdMMsiItp1hJSU6y4fzUeZIZWUay5Ry+g/iEXm7ENQrvvAO8dU+zVam0hLlEeBVZ01qiXu6rJJoNZy5V7ZUFH0oc3UjpdIq86KyCHc89YEUFWdUuuJDSMu2jHhoFZrxyu+EnYfNmIujFEfFZWFqh4bV0MMIyraNeEgzMB6mH3YirXP2oGKAW4R2SIiV4rIMXE1yDDCJolB6GYjzD6Mey6MEQ5+Ae6/o1AA8C4R2Qp8C3hcVYcib5lhhEjSgtDNSKU+rCb+0K6WXrPj54baBGwSkYnAMuCTwL0i8jjwLVV9IoY2GkYo2Cpy9ePWh9XGH6qZC2NB8ORQdTaUiJwFfAM4S1XTkbSqApYN1bzYi+9Ps/VRPVlSftdqQfBwiWUNbhE5CbicgkvqZGAD8KlaT2pET9KEjr34lRkYzLDu2Ze558mX6Eqnm6aP6smSqmTpWRA8efilzn4G+DjwLuAR4GZV3R5Hw4zaCSqY41Io9uJXprDgz04yxfrcmWwWqNxHSRkMRBV/aMd056TjZ1m8H7gD+H+qmvfZ10gAQQVznCN9e/G9Kd2vTPlCDnj3UZKstKhqcVkQPHn4Bbg/JSLTgRUickZx8wsUgtsDkbfOqJoggjnukb69+N643a8Sbn2URCstikyzZl8ArBXxc0O9G9hKYWnUH1GYuf2bwJ+KyFJVfTH6JjYHcbp0Kp0niGCOe6RvL743bvcLoLtDXPsoqVZaFJlmlu6cLPzcUGuAz6rqeudGEbkM+Avgsqga1kzE5RYIcp4ggrkRI/2gL35SfPFxUX6/hnJ5Vp4317NAXxKstDjvkaU7J4eKqbMi8hNVfVe130VJFKmz9Tz8cRWpq/Y8ftdUa6G5KEmSLz5uqnkGG3nvknaP2m1wUQ9Rp84ervG7pqHehz8ut0C15/EbkSXNxE+iLz5OqhlBN+reJe0eJU1xtTp+yuJEEbnBZbsAJ0TQnlgJ4+GPyy0QxXmSZOJHrXRbbQTaiHuXpHhJ0hRXO+C3Ut7fAce6/JsM3B9t06InjIJmcRWpa/VieFEq3U29+1hy51auvv9Zlty5lc29++o+phtRrMSXJOIYGAXtw7iKEbb6Pa0Gv9TZ1XE1pBGE9fDH5RZIiusoilF6VBlTcY1A28ElEnVWWzV9GIfiaod7Wg1+qbO3VfhaVXVNyO2JlTAf/rjcAo12HTXb8qRxuE7aySUS1YDFqw/nnTyFw0O5ceeKWnG10z0NSi0B7knAp4HpFFJrm5qkjNbDIkrffBwvUNjKMI4RaJJ8+XEQxYDFa3LihV/7Pt0d7rWyonx3ve5p3/43mTqxsyVkRbX4uaG+WvpbRI4FPkuhgOCDwFe9ftdsNHq0HhZRm83NKBTjmBCYhLkPzY5bH5bSxIdy3rWyonp33dpzZDjLZx7ooSvdnm4pvwA3IvI2EflzYCcF5fIeVV2lqq9G3jojMM5R/6FMlqPDeW5+eGeogblmFYrLFs5k+6qlfPPaxWxftTT0F7zVkw/ioLwPuzpSdKdlzD5xrqZX3p7uDkFEyGSje7+Sjl/MYi3we8B9wK+r6mAsrTKqJo5RfzOX7fArh12vK6PV3JlR49bnzj6c1JXm4ru3QW500nDcAxNnew4eGWLFuh8xXLRyIPlWddj4xSxuBDLAF4FbREY0vVAIcE+JsG1GFcQ16k+qUKxV4IfpumsVd2bUVOpzZx8mYWBSas/AYKYpreowqXqlvEZjK+V5k8QSHnFQq8CPq1SLMUrYZWvipNnfr1hWyjMaRzUvS1JH/VFST4ZWMwbsK5EkwepF2GVr4qQd3y8npiwSTC0j5jheriQJpXoEfrMG7N1olglkzd7nSVJeceObDWU0hjiym2ohrtIZQalH+LRKFlNSnxU3WqXP2xGzLGKi2tF4El0kSZzVWm+GVpiuhXpL3df6W+8JZAeZOrErERagk3Z35zQrkSoLETkfuAtIA/er6h0e+/0m8AzwMVXdGGWbGkEtLoIkmutJVGBQv/AJw7VQjxuoXheS64S2bK44gcx99nOjidKdkyQ3aSsRmRtKRNLAPcAFwDzg4yIyz2O/Oyks3dpy1OoiSKK5nkQFVmL65G4WzJ7WkP6pxw0Uhgtp/ASyFKpKJquJd0uFTdLcpK1ElJbFOUC/qv4cQEQeBC4Fdpft90fAwxTW9m456hmNJ81cb+ZJeVFSzz0Oy1obO4FsmBXrfsihTHtNIEuim7SViFJZzAT2OD7vBRY7dxCRmcB/BZZSQVmIyHXAdQBz5swJvaFRUu9oPGnZF0lTYEmgnnvs9dtJXWl27Hmjqj5u9wlkSXWTtgpRZkOJy7byGYB/A6xS1VylA6nqfaq6SFUXnXBCcy3Ql0R3Ur000uUTFfUsclPPPXb77eVnz+Liu7fV7EppxWcuCEl2k7YCkc3gFpH3AV9S1Y8UP/8JgKr+pWOfXzCqVI4H3gKuU9XveB23WWdwt1LQrZWuBcKboxBGNlSpJlIYs8qTdJ/iaku1s6yT1EdRk+QZ3M8Bp4nIqcA+4ArgSucOqnpq6W8R+UdgSyVF0cwkzZ1UK80y+SsoYfq567nHpd/u2PNGaK4Ur/bELSDjfGaqcZO22rMcNZG5oVQ1C6ykkOX0ArBeVftE5HoRuT6q8zYDzbqubzNN/gpKXGs5ByVqV0rQbKGwntFGPDNB3KSt+CxHTaTzLFT1ceDxsm33euz7+1G2JSkkfTRTadTZigHEqIWzsz8B3xFvlBlnQa2oMJ/RpD4zSW1XkrEZ3DGS9NQ+PyHRigHEKIWzsz+PZnOoKhM7O3wFcFQZZ0EEZNjPaFKfmaS2K8lYbagYSZrLw4mbWf75DTvof+XQyD6tmmUTxUp65f05nFOyeQK7PKLIOAsiIMN+RpP6zCS1XUnGLIsYcGa6JHU04zbqHMopF359G19ZPjoKbtV5FmEnILj1p5NGuDyCWFFRjLiT+swktV1JxZRFxJS7di5fNIv1PXsTNwPaTUgADGXz49wQrZLZFSVe/VmiUYMEPwEZlVsuqc9MUtuVRExZVKDeFEM3/+/6nr1sWXkuh4dykY5mqm17SUh8fsMOhnJj595Y4K96yoWuW8yikZV6K53bRtyGG6YsPAgjI8QroHh4KMeC2dNCbvEotbZ92cKZzDt5Chd+fRtD2dE2J8VVFhZxzTMoF7owPhsqiZPCktgmo/GYsnAhrIyQRmRc1Nv2uScdy1eWx1MssBFCqZ71umtpa/koPqoU1bBIYpuMZGDKwoWwcrDLXRFDuRwrPjS3rrb5Ca0w2h6FG6K83Y0QSrUq0ijaGkUadRRu0ySldhuNxZSFC2FaBCXBu+7Zl7nnyX7u+97Pueep/poEThChFVbbwwz8lbf71ovmseax3bELpVoUaVQCNOxJYVG6TS1eZUCLz7OotWRBFDnYf/tUP5msf2kBrzYHLU+QtPxxt3avfrSPjtTYosRxzDepRZFGNTcmzAFJWKUr/NrUrGVqjHBoWcui3pFWmK6YoCM2tzY7F7QJOupLUjaL67WnU+MyruIIoteSFhpV3CnMFNWo3KbONlksw2hJZRGW6yAsV0wQgePW5hvW95JOpehMC0PZPLl8cAEbtO1RB5ndrj2nyu2XzGPNlt2xzzepVpFGWQ4kLKUehdvU2SaLZRjQosoiab7XIALHrc3ZPGTzeRyrY5IWOKbLP1c/iBJwjhaHcjlWnncaVy6eE2ofeV37soUzOX/+2+nbfxAQ5s+YEto5nbj1Q7WDgCgttTAGJGErtPI2Je19MhpDSyqLJBYJ8xM4fjN+S6RSwj1XvYf5M6YEUgJeLgO30eJXn/gpdz/Zz9rl4boYvK59W/+BSLKMSucJ8/hJn+kbpUJL0vtkc0AaR0sqiyhdB/W2y6sNbmm2uTxky1xPXekUUyd2Ariu0RzUZeBVuyjjUt4jDMqvPQrXRrmllFcYzumY4887eUrks+cbRVQKLSnvk8VNGktLKgtobJC31tFPeZv/ue8/uOWRXWP2yamya99BPnbf064vTVCXQSVLph4XQ9BrD9u14aZ8ytF8oTBid9qETbU0OmnC4iaNp2WVBTTGdVDv6MfZ5qsWnwIKqx/tozOdIqfqO0chqMtg+uRuLj97Fg888/K4NtTqYqjm2id1pclkc6GcF/yrvAJkcgroSCkTEzbV0UhXnMVNGk9LK4u4iWL0c9V7T+H8M98+MqLzemn69h9k6sQuZh03MZDLYGAww/rn9447X3dHbfMyqrn2klJJpQRySndakJTU5dpwU5IdKUinUnSlU2SyOVIp4ehw44SN+dtrJ0lxk3bFlEWIRDX6KR/Rlb80R7M5PvNAD13p9Ihy2L5qadVlQY7pTHPvJ87mA6efUHUbg167U6mUUBEeW3kuc086turzlvDyq5dcJ5O60lx897Yxv4lT2Ji/vT6SEjdpZ0xZhEiUo5/+Vw7Ru+cNFs6eVhYIz5PL58nkIJMt5Nje/PBOtq9aWrGyrVtb82jNKaxBr91NqXSnC5V468XLr176vx5hU49VYP72cIg7bmKW4FhMWYRIVKOf277z4zGxhWveN2fEcjh4ZJgV637IIcdkjCDWjF9ba10Pw+/ao3YnVPKr1yps6rUKzN8eHnHFTcwSHI8pi5AJe/TT/8qhcUHoB55+mWve+w4WzJ7GwGCmZuHr1dZ61sPwu/ZGuxOqFTZhWAXmb28uzBJ0x5RFBIQ5+und84bn9pKPf8WH5nL3ky+NiVkEPX/Y8x9KxysVnXNTGo1Ow6yGMKyCRitIozrMEnTHlEWD8XP3LPSIOyycPW2MBQDCdR94Z93lOsJ4UYJYJkmfEQ2Fe3PwyBBDufpTfJtJQbY7Zgm6Y8oiRKr18wcRqsdN6iIl4JzIXaruXW4B3PNUP1cunlPXNdT7orSKCe+8N3ktpOHWu352MyjIoLRy8NcsQXdMWYREtX7+aspyTOrqGBPAntTVQe+eNyJL063nRWkFE97t3nR3pHxrcrUL7RD8NUtwPKYsQqCW0XQ9ZTmG83kWzp4Wmalc64sSptumkbjdm1JNrnYXGq1iOQahlSzBMGjplfLiopbV1Kopy+G28t3ck46NdEW86ZO7WTB7WlVxiiV3bmXFuh+NuG2SsFJfLZjP2puoVg40kk/bWxZh+F5rES7VuHu8RvpJMZWT5rap9562u8+6Uv+ZIm1f2lpZhLX4T63CpRph72USJ8FUTpLbppbYkVv/R6WIkx4Y9uu/sCdzGs2DqKr/Xgli0aJF2tPTU/dxBgYzLLlz65gaRVAYEde6+E+7vihufTmhM8X2VUtj7Ydq2xF3oDbq89X7/FXTf27nKl1fR0oYyhWWzr1q8SkNvSZjFBF5XlUX1fr7trUsolj8Jwmj/EaQFLdNNZlYcQdqoz5fGIqomv6rNJmzxC2P7AItVE5u1DUZ4dG2yiKqxX/alSTET6rxp1dTJTeMa4oypXhgMMPNG3eSydaniOqJR/TtP4i4bF/9aB/nn/l2K77YArRtNlRpNNzdMf4Rt4BdbVSbQRXF+YNmiM06biJDOW/BODCY4Wv/+hLvv2MrV9//LEvu3Mrm3n01ty3KwPC6Z18mkx177FoylKrpPyebevfxmQd6ODI8fvDVma4tU8ov66pUTmZgMFP1sY3aiNSyEJHzgbuANHC/qt5R9v1VwKrix0HgD1V1R5RtclIaDf/fZ1/m7if76Uq3X+ZLEqlnNB/UwtnWf4CcQ3h3pkcXX9rUu4+bN+4gky3E8zIhrKwXlatuYDDDPU++NG77UK42RVSthViyAEp9VU42rzW1o5JyNfdUY4hMWYhIGrgH+G1gL/CciGxW1d2O3X4BfFBVXxeRC4D7gMVRtcmN6ZO7+aMPF7KgLJDWeMIQBH6xo5KAcw7GUwJL5h5fUfjV6zaKwlW39/UjdKRSZBg7EXLleXNrPn41sTe/5Wxz+Tzb+w/UdA/dlCuML3Nj7ql4iNKyOAfoV9WfA4jIg8ClwIiyUNUfOPZ/BpgVYXsq0q7B6SQRl5/aPdU3PeLi8BJ+YbiNgj5nQa2rXfsOjls4qrtD6q4RFpRKsT+AbL72e+imXHdEVObG8CfKmMVMYI/j897iNi8+DfyT2xcicp2I9IhIz2uvvRZiE4Nh/tF42Pv6ETQ/dkSveQ19dnAlF4eX8CutTQ5UfBbCeFZKs+H9YiUDgxnWPLZ73PbbLp4fyH0UxjNdHufo6kjRnR4bB0yL8OSLr9bUZ+VxMJsU2DiitCzckiNcHZsich4FZXGu2/eqeh8FFxWLFi2KbWLIwGCGdc++zD1l8Yxyk9pywcNhUleaTG7s7c3klEld6VDP4xc/GLts7ehkzW39B1hy51bXNb5nHTeRbf0H6nahVWNduVlIk7rTnDlzasVzrHvml6zespuutJDNK7dePI8zZ0yt+fl1WgAja5077uPhoRxferSPL27aNa5PqnU71hr7sXe0fqJUFnuB2Y7Ps4D95TuJyFnA/cAFqjoQYXuqImiQ04Jt4XF4KMeEztS4SWFhrM9dTqX4gdt3bkL8xg07SEnBhTWUy5FXGM5pYBeamwCrJsXWbZSd8wkor3vml9zynV0ADBULGd/yyC4mdaXJqdb8/DrdayVhnhYZuXeDmcL/zj6p1e1YbezH3tFwiNIN9RxwmoicKiJdwBXAZucOIjIH+DbwCVX9aYRtqYogQU7nfkeH8xzKZDk6XJjQZ+6q2vASclG5GCql+pZ/55bKOZxTMlnlUCZLJqsMl1lFldJXvVxNQdwsJbcNUFWq68BghtWP9rl+d3goF9rzu2zhTLavWsrqZfOZ3D3WKnT2ST1FCYOmaVfzjpq7uTKRWRaqmhWRlcB3KaTO/oOq9onI9cXv7wVuA6YDfysiANl6pqOHRaUMD+eLG+faDe1gRidlJrgbfoFcN7x86X4j6kp94DZK3r5qaaBnY+/rR+hMp8aVkHcS1vM7fXI3551xIl/ctGvMdmefxBF/CPqOljwJaUmR0zxrly8w66OMSOdZqOrjwONl2+51/H0tcG2UbagFvyBnPcG2WoR+O5nRXi6gRivKciE+lMuTy+fHpN92pCCdSvnO1/ETYF5uFi8ls33VUhZ4LL/rZNZxE8n51IILU1j7Kb5qBge1PgNBLbUb1/cW72VBkd6wvtfSccto23IflRgvGNwr0lY7Ei4PLAYR+rX4dctfrCQI22pw+r+TpCjLhfj2/gPj7n0QX3oQAeaWYluvJet8XtMiDOfy/O5vzGDzjl9FZsn5xReCxB/qeQaCvKN9+9+kbAI82Xxh+wdOP6H6i25RTFl4EDSIFnQ/t8BikGBetQKi/MW6fNEs1vfsbZiwrUdRJbE+kFOIe917v7bV6m4Lw23j1uZV57+bvv0HAWH+jCmBjxUUv7kllb4P4xnwf0e9rK3mqsgdNaYsKhB0AlWQGcNugcV0SnxHhdUICLcX64GnXwZoiLCt1ypohvW8a53MWcts7rBiOuVtDiPlNyrCegYq3af5M6bSmZYxCQqdaWH+jMopyO2GKYsY8AosDuf86+ZUIyD8Si9A9S9arZZBGCPCakfSzexuC0rYJUOSaL05iSMIPn1yN1/96AJu2riTdErI5ZW1y5ORWJEkTFnEgFdg8fZL5gV6IIMKiCAZO9W8aPVYBmGMCKtRlEmKbURNrdaMG0m03sqVfhwZcnGX2G+2gQ2YsogFt8Di7ZfMr2oVsSACwu3FcotZBHk46x1xhjUiDPISJ310HDZhCppGls+otNpeudKPQ5CHqYQr0awDG1MWMRHXA+92ns9++PSqzxtm5k29I0K/lziJo+OoCFvQNGpui9t1LJl7fEWl3wr3spkHNqYsYiSuB778PLWcN6rMmyhol+JyUQmaRrhg3K7jvk+c3fJKv5kHNm27Up5RmdKIs9pV09yOE/XqeWG1NenUUx7DjzjuUwmv6wBpeaXfzAMbsywMT5KwrnZQmqmttdLMgsaJ13XMnzElseVewqJRbr8wEPWZ/p80Fi1apD09PY1uhmE0hM29+8YJmmYIjpZT6TqaMVOoWhpxjSLyfD2190xZGEaT0SrCtFWuo1moV1m0vBvKHkij1WiVzKBWuY52oaWVRbPmMxuGYSSNls2GsoWJDMMwwqNllUWUaYaGYRjtRssqi1ZJMzQMw0gCLass2mWilmEYRhy0dIC7HSZqGYZhxEFLKwuw9DzDMIwwaFk3lGEYhhEepiwMwzAMX0xZGIZhGL6YsjAMwzB8MWVhGIZh+GLKwjAMw/DFlIVhGIbhiykLwzAMwxdTFoZhGIYvpiwMwzAMX0xZGIZhGL6YsjAMwzB8MWVhGIZh+GLKwjAMw/DFlIVhGIbhS6TKQkTOF5GfiEi/iHzB5XsRka8Vv98pIu+Jsj2GYRhGbUSmLEQkDdwDXADMAz4uIvPKdrsAOK347zrgf0bVHsMwDKN2orQszgH6VfXnqjoEPAhcWrbPpcADWuAZYJqInBxhmwzDMIwaiHJZ1ZnAHsfnvcDiAPvMBH7l3ElErqNgeQBkRGRXuE1tWo4HDjS6EQnB+mIU64tRrC9GeVc9P45SWYjLNq1hH1T1PuA+ABHpUdVF9Tev+bG+GMX6YhTri1GsL0YRkZ56fh+lG2ovMNvxeRawv4Z9DMMwjAYTpbJ4DjhNRE4VkS7gCmBz2T6bgWuKWVHvBQ6q6q/KD2QYhmE0lsjcUKqaFZGVwHeBNPAPqtonItcXv78XeBy4EOgH3gI+FeDQ90XU5GbE+mIU64tRrC9Gsb4Ypa6+ENVxIQLDMAzDGIPN4DYMwzB8MWVhGIZh+JIoZSEis0XkSRF5QUT6ROSzxe0PiUhv8d+/i0iv4zd/UiwX8hMR+UjDGh8yFfpioYg8U+yLHhE5x/GbduuLBSLytIj8WEQeFZEpjt+0al9MEJF/E5Edxb5YXdz+NhF5QkReKv5/nOM37dYXHy1+zovIorLftFtfrBWRF4vllB4RkWmO31TXF6qamH/AycB7in8fC/wUmFe2z1eB24p/zwN2AN3AqcDPgHSjryPKvgD+BbiguP1C4Kk27ovngA8Wt/8BsKYN+kKAycW/O4FngfcCXwa+UNz+BeDONu6Ld1OYgPYUsMixfzv2xe8AHcXtd9bzXCTKslDVX6nqD4t/HwJeoDCjGygUHgQuB75V3HQp8KCqZlT1FxSyqs6hBajQFwqURtBTGZ2X0o598S7ge8XdngAuK/7dyn2hqjpY/NhZ/KcUrvkbxe3fAH63+Hfb9YWqvqCqP3H5STv2xb+oara4/RkKc9mghr5IlLJwIiLvAH6DgoYs8VvAK6r6UvGzV7mQlqKsLz4HrBWRPcBXgD8p7taOfbELWFb86qOMTvBs6b4QkXTRFfsq8ISqPgucpMU5SsX/Tyzu3o594UW798UfAP9U/LvqvkikshCRycDDwOdU9U3HVx9n1KqAgOVCmhmXvvhD4I9VdTbwx8Dfl3Z1+Xmr98UfACtE5HkK7qmh0q4uP2+ZvlDVnKoupDBKPEdEzqywu/XFKG3bFyJyC5AF1pU2uR2i0vETpyxEpJOCQFinqt92bO8Afg94yLF7S5cL8eiLTwKlvzcwajq2XV+o6ouq+juqejaFQcTPiru3dF+UUNU3KPjlzwdekWLF5uL/rxZ3a8e+8KIt+0JEPglcDFylxYAFNfRFopRFMSbx98ALqvpXZV//F+BFVd3r2LYZuEJEukXkVArrYvxbPK2Nlgp9sR/4YPHvpUDJJdd2fSEiJxb/TwFfBO4tftXKfXFCKaNFRCZSfC8oXPMni7t9EthU/Lsd+8KLtusLETkfWAUsU9W3HD+pui+irDpbC0uATwA/ltH02D9V1ccp1JZyuqDQQvmQ9cBuCibWClXNxdjeKHHtC+AzwF1FS+soxdLtbdoXp4nIiuLnbwP/G1q+L04GviGFxcVSwHpV3SIiTwPrReTTwMsUYjjt2hf/Ffg6cALwmIj0qupH2rQv+ilkPD1RGHPxjKpeX0tfWLkPwzAMw5dEuaEMwzCMZGLKwjAMw/DFlIVhGIbhiykLwzAMwxdTFoZhGIYvpiwMIyAikpNCtd8dIvJDEXm/47t/FpE3RGRL2W9OFZFnpVAN9iEpLDFsGE2HKQvDCM4RVV2oqgso1OT6S8d3aynMBSnnTuCvVfU04HXg09E30zDCx5SFYdTGFArCHwBV/VfgkHOH4szzpcDG4iZnNVjDaCqSNoPbMJLMxOIM8gkUZswu9dl/OvCGo0R0S1U5NdoLUxaGEZwjxaqeiMj7gAdE5Ez1LoPQ0lVOjfbC3FCGUQOq+jRwPIX6Q14cAKYV63hBi1Y5NdoDUxaGUQMicgaQBga89ilaHE8Cy4ubnNVgDaOpsEKChhEQEckBPy59pFAR+bHid98HzgAmU1Agn1bV74rIO4EHgbcBPwKuVtVM7I03jDoxZWEYhmH4Ym4owzAMwxdTFoZhGIYvpiwMwzAMX0xZGIZhGL6YsjAMwzB8MWVhGIZh+GLKwjAMw/Dl/wPrhBbR9u70RQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "select_color.plot(kind='scatter',x=\"Value_y\",y=\"Value_x\",title=\"Center Pivot 0\",xlim=(270,320),ylim=(0,1),xlabel='B10',ylabel='NDVI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: title={'center': 'Center Pivot 0'}, xlabel='B10', ylabel='NDWI'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "select_color = dfinal.loc[(dfinal['Index_x'] == 'NDWI') & (dfinal['Index_y'] == 'B10') & (dfinal['pivot'] == 0)& (dfinal['reducer'] == 'mean')]\n",
    "select_color.plot(kind='scatter',x=\"Value_y\",y=\"Value_x\",title=\"Center Pivot 0\",xlim=(270,320),ylim=(-1,0),xlabel='B10',ylabel='NDWI')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: title={'center': 'Center Pivot 0'}, xlabel='B10', ylabel='GVMI'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "select_color = dfinal.loc[(dfinal['Index_x'] == 'GVMI') & (dfinal['Index_y'] == 'B10') & (dfinal['pivot'] == 0)& (dfinal['reducer'] == 'mean')]\n",
    "select_color.plot(kind='scatter',x=\"Value_y\",y=\"Value_x\",title=\"Center Pivot 0\",xlim=(270,320),ylim=(0,1),xlabel='B10',ylabel='GVMI')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Assignment:\n",
    "    \n",
    "Create two notebooks, and in each notebook, change the center pivot locations, for the first one, select 3 center pivots around \"El Amal, Markaz Abo El Matamier, Beheira\" (Egypt) and the second notebook select 3 center pivots around  \"Seminole, Texas\". Please, discuss the time series variability in vegetation indices and temperatures between the two notebooks. What could be reasons for the found differences?\n",
    "\n",
    "Happy Coding!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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