{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "71d5b459",
   "metadata": {},
   "source": [
    "# Spatial and temporal analysis of greenhouse gas emissions transfers over the US electric grid\n",
    "\n",
    "##### Guangyu Cai, Joe Franke, Amina Jackson, Jenni Nugent \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d1b11c6",
   "metadata": {},
   "source": [
    "### Research Questions\n",
    "\n",
    "1. How is electricity transferred on the U.S. electric grid between balancing authorities on a sub-annual timescale?\n",
    "2. What is the spatial distribution of emissions and how does it compare to median household income?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5eeddf8",
   "metadata": {},
   "source": [
    "### Project Motivation\n",
    "\n",
    "- Spatial and temporal transfer of resources has important policy and environmental justice implications.\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e83c2be2",
   "metadata": {},
   "source": [
    "### Data Sources\n",
    "\n",
    "- **U.S. Energy Information Administration**\n",
    "    - `Form EIA-923`\n",
    "        - URL: https://www.eia.gov/electricity/data/eia923/\n",
    "        - Includes:\n",
    "            - Plant-level fuel type\n",
    "            - Monthly plant-level fuel consumption and electricity generation\n",
    "    - `Form EIA-860`\n",
    "        - URL: https://www.eia.gov/electricity/data/eia860/\n",
    "        - Includes:\n",
    "            - Power plant location (latitude and longitude)\n",
    "            - Power plant balancing authority\n",
    "    - `Form EIA-930`\n",
    "        - URL: https://www.eia.gov/electricity/gridmonitor/dashboard/electric_overview/US48/US48?src=email\n",
    "        - Includes: \n",
    "            - Hourly electric transfers between balancing authorities\n",
    "- **Homeland Infrastructure Foundation-Level Data (HIFLD)**\n",
    "    - `Control Areas` (Balancing Authority Shapefiles)\n",
    "        - https://hifld-geoplatform.opendata.arcgis.com/search?q=control%20areas\n",
    "- **U.S. Environmental Protection Agency**\n",
    "    - `Greenhouse Gas Emissions Factors`\n",
    "        - URL: https://www.epa.gov/climateleadership/ghg-emission-factors-hub\n",
    "- **U.S. Census Bureau**\n",
    "    - `Median Household Income` by tract (2018)\n",
    "        - URL: https://data.census.gov/cedsci/table?q=median%20household%20income%202020&tid=ACSST5Y2020.S1901\n",
    "    - `Census Tracts` (2018) shapefiles\n",
    "        - URL: https://www.census.gov/cgi-bin/geo/shapefiles/index.php"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "daf5ebcc",
   "metadata": {},
   "source": [
    "### Workflow Overview\n",
    "\n",
    "- Import Packages\n",
    "- U.S. Energy Information Administration Data Preparation\n",
    "- Greenhouse Gas Emissions Estimate\n",
    "- Data Preparation\n",
    "    - Data Preparation Visualization 1: Balancing Authority Data\n",
    "    - Data Preparation Visualization 2: Emissions and Location Dataframe\n",
    "    - Data Preparation Visualization 3: Emissions and Fuel Type Dataframe\n",
    "    - Data Preparation Visualization 3: Census Data Preparation\n",
    "- Visualizations\n",
    "    - Visualization 1: Map of BA-to-BA electric transfers\n",
    "    - Visualization 2: Map of Point Source GHG Emissions\n",
    "    - Visualization 3: Map of Power Plants & Fuel Type and Median Household Income\n",
    "    - Visualization 4: Spatial visualization of BA-to-BA interchange\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e7078f8",
   "metadata": {},
   "source": [
    "### Import Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f941f455",
   "metadata": {},
   "outputs": [],
   "source": [
    "#the pakages needed using conda\n",
    "\n",
    "#conda install -c conda-forge geoplot \n",
    "#conda install pysal\n",
    "#conda install -c conda-forge pyvis\n",
    "\n",
    "#or\n",
    "\n",
    "#pip install geoplot\n",
    "#pip install pysal\n",
    "#pip install pyvis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c9107f3f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#Note:\n",
    "#unzip control_areas.geojson in BA Geometry folder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "058d12fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import math\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "#pakages needed to add\n",
    "import networkx as nx\n",
    "import geoplot as gplt\n",
    "from shapely.geometry import Point\n",
    "from geopandas import GeoDataFrame\n",
    "import matplotlib.patheffects as pe\n",
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "import mapclassify\n",
    "import plotly.express as px\n",
    "import contextily as cx\n",
    "import plotly.graph_objects as go"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18d84ca2",
   "metadata": {},
   "source": [
    "### U.S. Energy Information Administration Data Preparation\n",
    "\n",
    "- Import power plant location and balancing authority data from EIA-860\n",
    "- Import plant-level fuel type, fuel consumption, and electricity generation data from EIA-923\n",
    "    - Transform monthly data from wide format to long format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "45f85d23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>Plant Code</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Balancing Authority Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>33.458665</td>\n",
       "      <td>-87.356823</td>\n",
       "      <td>SOCO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>31.006900</td>\n",
       "      <td>-88.010300</td>\n",
       "      <td>SOCO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>32.583889</td>\n",
       "      <td>-86.283056</td>\n",
       "      <td>SOCO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>34.012800</td>\n",
       "      <td>-85.970800</td>\n",
       "      <td>SOCO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>33.644344</td>\n",
       "      <td>-87.196486</td>\n",
       "      <td>SOCO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Plant Code   Latitude   Longitude Balancing Authority Code\n",
       "0           2  33.458665  -87.356823                     SOCO\n",
       "1           3  31.006900  -88.010300                     SOCO\n",
       "2           4  32.583889  -86.283056                     SOCO\n",
       "3           7  34.012800  -85.970800                     SOCO\n",
       "4           8  33.644344  -87.196486                     SOCO"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import plant location data from Form EIA-860\n",
    "plantData_2018 = pd.read_csv('./EIA Data/2___Plant_Y2018.csv',header=1)\n",
    "keep_columns1 = (['Plant Code','Latitude',\n",
    "                  'Longitude','Balancing Authority Code'])\n",
    "plantData_2018 = plantData_2018[keep_columns1] \n",
    "plantData_2018.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ff0c1292",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import monthly, plant-level fuel cosnumption and generation data from Form EIA-923\n",
    "fuelAndGeneration_2018 = pd.read_csv('./EIA Data/EIA923_Schedules_2_3_4_5_M_12_2018_Final_Revision.csv',header=5)\n",
    "fuelAndGeneration_2018.rename(columns = {'Plant Id': 'Plant ID',\n",
    "                                         'Combined Heat And\\nPower Plant': 'Combined Heat & Power Plant',\n",
    "                                         'Plant State': 'State',\n",
    "                                         'Reported\\nPrime Mover': 'Reported Prime Mover', \n",
    "                                         'Reported\\nFuel Type Code':'Reported Fuel Type Code',\n",
    "                                         'Elec_MMBtu\\nJanuary': 'Elec_MMBtu_Jan', \n",
    "                                         'Elec_MMBtu\\nFebruary': 'Elec_MMBtu_Feb', \n",
    "                                         'Elec_MMBtu\\nMarch': 'Elec_MMBtu_Mar',\n",
    "                                         'Elec_MMBtu\\nApril': 'Elec_MMBtu_Apr', \n",
    "                                         'Elec_MMBtu\\nMay': 'Elec_MMBtu_May', \n",
    "                                         'Elec_MMBtu\\nJune': 'Elec_MMBtu_Jun',\n",
    "                                         'Elec_MMBtu\\nJuly': 'Elec_MMBtu_Jul', \n",
    "                                         'Elec_MMBtu\\nAugust': 'Elec_MMBtu_Aug', \n",
    "                                         'Elec_MMBtu\\nSeptember': 'Elec_MMBtu_Sep',\n",
    "                                         'Elec_MMBtu\\nOctober': 'Elec_MMBtu_Oct', \n",
    "                                         'Elec_MMBtu\\nNovember': 'Elec_MMBtu_Nov', \n",
    "                                         'Elec_MMBtu\\nDecember': 'Elec_MMBtu_Dec',\n",
    "                                         'Netgen\\nJanuary':'Netgen_Jan', \n",
    "                                         'Netgen\\nFebruary':'Netgen_Feb', \n",
    "                                         'Netgen\\nMarch':'Netgen_Mar',\n",
    "                                         'Netgen\\nApril':'Netgen_Apr',\n",
    "                                         'Netgen\\nMay':'Netgen_May', \n",
    "                                         'Netgen\\nJune':'Netgen_Jun', \n",
    "                                         'Netgen\\nJuly':'Netgen_Jul', \n",
    "                                         'Netgen\\nAugust':'Netgen_Aug',\n",
    "                                         'Netgen\\nSeptember':'Netgen_Sep', \n",
    "                                         'Netgen\\nOctober':'Netgen_Oct', \n",
    "                                         'Netgen\\nNovember':'Netgen_Nov', \n",
    "                                         'Netgen\\nDecember':'Netgen_Dec'}, inplace = True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d2c567e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a function that converts strings to floats in EIA-923 Files\n",
    "def string2Float(dfRow):\n",
    "    if type(dfRow) == str:\n",
    "        if dfRow == '.': #replace missing values with 0\n",
    "            x = 0\n",
    "        elif dfRow == 'nan': #replace missing values with 0\n",
    "            x = 0\n",
    "        else:\n",
    "            x = float(dfRow.replace(',','')) #remove commas from values and convert to float type\n",
    "    if type(dfRow) == float:\n",
    "        if math.isnan(dfRow): #replace missing values with 0\n",
    "            x = 0\n",
    "        else:\n",
    "            x = dfRow\n",
    "    return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ade5cf67",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert String Numbers to Float Values\n",
    "convert_columns = (['Elec_MMBtu_Jan', 'Elec_MMBtu_Feb', 'Elec_MMBtu_Mar', 'Elec_MMBtu_Apr', \n",
    "                    'Elec_MMBtu_May','Elec_MMBtu_Jun', 'Elec_MMBtu_Jul', 'Elec_MMBtu_Aug', \n",
    "                    'Elec_MMBtu_Sep', 'Elec_MMBtu_Oct','Elec_MMBtu_Nov', 'Elec_MMBtu_Dec',\n",
    "                    'Netgen_Jan', 'Netgen_Feb', 'Netgen_Mar', 'Netgen_Apr', \n",
    "                    'Netgen_May','Netgen_Jun', 'Netgen_Jul', 'Netgen_Aug', \n",
    "                    'Netgen_Sep', 'Netgen_Oct','Netgen_Nov', 'Netgen_Dec'])\n",
    "for col in convert_columns:\n",
    "    fuelAndGeneration_2018[col] = fuelAndGeneration_2018.apply(lambda row: string2Float(row[col]),axis=1)\n",
    "#fuelAndGeneration_2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "81489e25",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keep generation data and create dataframe of generation\n",
    "keep_columns2 = (['Plant ID', 'Combined Heat & Power Plant', 'Plant Name',\n",
    "                 'State', 'NERC Region', 'Reported Prime Mover', 'Reported Fuel Type Code',\n",
    "                 'Netgen_Jan', 'Netgen_Feb', 'Netgen_Mar', 'Netgen_Apr', \n",
    "                 'Netgen_May','Netgen_Jun', 'Netgen_Jul', 'Netgen_Aug', \n",
    "                 'Netgen_Sep', 'Netgen_Oct','Netgen_Nov', 'Netgen_Dec'])\n",
    "generation_2018 = fuelAndGeneration_2018[keep_columns2] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "03bf16c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keep fuel consumption data and create dataframe of fuel consumption\n",
    "keep_columns3 = (['Plant ID', 'Combined Heat & Power Plant', 'Plant Name',\n",
    "                 'State', 'NERC Region', 'Reported Prime Mover', 'Reported Fuel Type Code',\n",
    "                 'Elec_MMBtu_Jan', 'Elec_MMBtu_Feb', 'Elec_MMBtu_Mar', 'Elec_MMBtu_Apr', \n",
    "                 'Elec_MMBtu_May','Elec_MMBtu_Jun', 'Elec_MMBtu_Jul', 'Elec_MMBtu_Aug', \n",
    "                 'Elec_MMBtu_Sep', 'Elec_MMBtu_Oct','Elec_MMBtu_Nov', 'Elec_MMBtu_Dec'])\n",
    "fuel_2018 = fuelAndGeneration_2018[keep_columns3] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "578b86af",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Melt generation data from wide to long format\n",
    "genMonthsList = ['Netgen_Jan', 'Netgen_Feb', 'Netgen_Mar', 'Netgen_Apr', \n",
    "                 'Netgen_May','Netgen_Jun', 'Netgen_Jul', 'Netgen_Aug', \n",
    "                 'Netgen_Sep', 'Netgen_Oct','Netgen_Nov', 'Netgen_Dec']\n",
    "monthNum1 = list(range(1, 13))\n",
    "genMonths = dict(zip(genMonthsList,monthNum1))\n",
    "netGenMelted = generation_2018.melt(id_vars=['Plant ID', 'Combined Heat & Power Plant', 'Plant Name', \n",
    "                                'State', 'NERC Region', 'Reported Prime Mover', 'Reported Fuel Type Code'], \n",
    "                                 value_vars=genMonthsList, \n",
    "                                 value_name='Net Generation (MWh)',\n",
    "                                 var_name= 'Month')\n",
    "generation_2018 = netGenMelted.assign(Month=netGenMelted['Month'].map(genMonths)) \n",
    "#generation_2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e8fbfab2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Melt fuel consumption from wide to long format\n",
    "fuelMonthsList = ['Elec_MMBtu_Jan', 'Elec_MMBtu_Feb', 'Elec_MMBtu_Mar', 'Elec_MMBtu_Apr', \n",
    "                 'Elec_MMBtu_May','Elec_MMBtu_Jun', 'Elec_MMBtu_Jul', 'Elec_MMBtu_Aug', \n",
    "                 'Elec_MMBtu_Sep', 'Elec_MMBtu_Oct','Elec_MMBtu_Nov', 'Elec_MMBtu_Dec']\n",
    "monthNum1 = list(range(1, 13))\n",
    "fuelMonths = dict(zip(fuelMonthsList,monthNum1))\n",
    "fuelMelted = fuel_2018.melt(id_vars=['Plant ID', 'Combined Heat & Power Plant', 'Plant Name', \n",
    "                                'State', 'NERC Region', 'Reported Prime Mover', 'Reported Fuel Type Code'], \n",
    "                                 value_vars=fuelMonthsList, \n",
    "                                 value_name='Electric Fuel Consumption (MMBtu)',\n",
    "                                 var_name= 'Month')\n",
    "fuel_2018 = fuelMelted.assign(Month=fuelMelted['Month'].map(fuelMonths)) \n",
    "#fuel_2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4df4ee2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        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>Plant ID</th>\n",
       "      <th>Combined Heat &amp; Power Plant</th>\n",
       "      <th>Plant Name</th>\n",
       "      <th>State</th>\n",
       "      <th>NERC Region</th>\n",
       "      <th>Reported Prime Mover</th>\n",
       "      <th>Reported Fuel Type Code</th>\n",
       "      <th>Month</th>\n",
       "      <th>Electric Fuel Consumption (MMBtu)</th>\n",
       "      <th>Net Generation (MWh)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>N</td>\n",
       "      <td>Bankhead Dam</td>\n",
       "      <td>AL</td>\n",
       "      <td>SERC</td>\n",
       "      <td>HY</td>\n",
       "      <td>WAT</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>N</td>\n",
       "      <td>Barry</td>\n",
       "      <td>AL</td>\n",
       "      <td>SERC</td>\n",
       "      <td>CA</td>\n",
       "      <td>NG</td>\n",
       "      <td>1</td>\n",
       "      <td>56603.0</td>\n",
       "      <td>264566.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>N</td>\n",
       "      <td>Barry</td>\n",
       "      <td>AL</td>\n",
       "      <td>SERC</td>\n",
       "      <td>CT</td>\n",
       "      <td>NG</td>\n",
       "      <td>1</td>\n",
       "      <td>5202919.0</td>\n",
       "      <td>493620.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>N</td>\n",
       "      <td>Barry</td>\n",
       "      <td>AL</td>\n",
       "      <td>SERC</td>\n",
       "      <td>CT</td>\n",
       "      <td>SUB</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>N</td>\n",
       "      <td>Barry</td>\n",
       "      <td>AL</td>\n",
       "      <td>SERC</td>\n",
       "      <td>ST</td>\n",
       "      <td>BIT</td>\n",
       "      <td>1</td>\n",
       "      <td>4770781.0</td>\n",
       "      <td>474858.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Plant ID Combined Heat & Power Plant    Plant Name State NERC Region  \\\n",
       "0         2                           N  Bankhead Dam    AL        SERC   \n",
       "1         3                           N         Barry    AL        SERC   \n",
       "2         3                           N         Barry    AL        SERC   \n",
       "3         3                           N         Barry    AL        SERC   \n",
       "4         3                           N         Barry    AL        SERC   \n",
       "\n",
       "  Reported Prime Mover Reported Fuel Type Code  Month  \\\n",
       "0                   HY                     WAT      1   \n",
       "1                   CA                      NG      1   \n",
       "2                   CT                      NG      1   \n",
       "3                   CT                     SUB      1   \n",
       "4                   ST                     BIT      1   \n",
       "\n",
       "   Electric Fuel Consumption (MMBtu)  Net Generation (MWh)  \n",
       "0                                0.0                 -36.0  \n",
       "1                            56603.0              264566.0  \n",
       "2                          5202919.0              493620.0  \n",
       "3                                0.0                   0.0  \n",
       "4                          4770781.0              474858.0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge long-format fuel data and long-format generation data\n",
    "fuelAndGeneration_2018long =  fuel_2018.copy()\n",
    "fuelAndGeneration_2018long['Net Generation (MWh)'] =  generation_2018['Net Generation (MWh)']\n",
    "#fuelAndGeneration_2018long.to_csv('fuelAndGeneration_2018long1.csv')\n",
    "fuelAndGeneration_2018long.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e66d2c0",
   "metadata": {},
   "source": [
    "### Greenhouse Gas Emissions Estimate\n",
    "\n",
    "- Estimate GHG emissions based on EIA-923 fuel consumption data and emissions factors from the EPA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "56401c15",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create Function for Estimating GHG emissions\n",
    "def GHG_estimate(fuelType,fuelConsumption,netGeneration):\n",
    "    CH4_GWP = 25\n",
    "    N2O_GWP = 298\n",
    "    G_TO_KG = 1/1000\n",
    "    KG_TO_LBS = 1/2.204623  \n",
    "    \n",
    "    if fuelType == \"NG\": \n",
    "        \"\"\"Natural Gas\"\"\"\n",
    "        CO2eqv = 53.06 + 1.0*CH4_GWP*G_TO_KG + 0.10*N2O_GWP*G_TO_KG\n",
    "\n",
    "    elif fuelType == \"ANT\": \n",
    "        \"\"\"Anthracite Coal\"\"\"\n",
    "        CO2eqv = 103.69 + 11*CH4_GWP*G_TO_KG + 1.6*N2O_GWP*G_TO_KG \n",
    "    elif fuelType == \"BIT\": \n",
    "        \"\"\"Bituminous Coal\"\"\"\n",
    "        CO2eqv = 93.28 + 11*CH4_GWP*G_TO_KG + 1.6*N2O_GWP*G_TO_KG \n",
    "    elif fuelType == \"LIG\": \n",
    "        \"\"\"Lignite Coal\"\"\"\n",
    "        CO2eqv = 97.72 + 11*CH4_GWP*G_TO_KG + 1.6*N2O_GWP*G_TO_KG \n",
    "    elif fuelType == \"SUB\": \n",
    "        \"\"\"Sub-bituminous Coal\"\"\"\n",
    "        CO2eqv = 97.17 + 11*CH4_GWP*G_TO_KG + 1.6*N2O_GWP*G_TO_KG \n",
    "    \n",
    "    elif fuelType == \"JF\": \n",
    "        \"\"\"Jet Fuel [Kerosene-Type Jet Fuel]\"\"\"\n",
    "        CO2eqv = 72.22 + 3.0*CH4_GWP*G_TO_KG + 0.60*N2O_GWP*G_TO_KG\n",
    "    elif fuelType == \"PG\": \n",
    "        \"\"\"Propane Gas\"\"\"\n",
    "        CO2eqv = 61.46 + 3.0*CH4_GWP*G_TO_KG + 0.60*N2O_GWP*G_TO_KG\n",
    "    elif fuelType == \"PC\": \n",
    "        \"\"\"Petroleum Coke - [Solid]\"\"\"\n",
    "        CO2eqv = 102.41 + 32*CH4_GWP*G_TO_KG + 4.2*N2O_GWP*G_TO_KG     \n",
    "    elif fuelType == \"WDS\": \n",
    "        \"\"\"Wood/Wood Waste Solids [Wood and Wood Residuals]\"\"\"            \n",
    "        CO2eqv = 93.80 + 7.2*CH4_GWP*G_TO_KG + 3.6*N2O_GWP*G_TO_KG \n",
    "    elif fuelType == \"KER\": \n",
    "        \"\"\"Kerosene\"\"\"\n",
    "        CO2eqv = 75.20 + 3.0*CH4_GWP*G_TO_KG + 0.60*N2O_GWP*G_TO_KG \n",
    "    elif fuelType == \"DFO\": \n",
    "        \"\"\"Distillate Fuel Oil (including diesel, No. 1, No. 2, and No. 4 fuel oils) [No. 1, No. 2, No. 3]\"\"\"\n",
    "        tempCO2 = (73.25 + 73.96 + 75.04)/3 #Average No.1, No.2, No.4\n",
    "        CO2eqv = tempCO2 + 3.0*CH4_GWP*G_TO_KG + 0.60*N2O_GWP*G_TO_KG  \n",
    "    elif fuelType == \"LFG\": \n",
    "        \"\"\"Landfill Gas\"\"\"\n",
    "        CO2eqv = 52.07 + 3.2*CH4_GWP*G_TO_KG + 0.63*N2O_GWP*G_TO_KG \n",
    "    elif fuelType == \"AB\": \n",
    "        \"\"\"Agricultural By-Products\"\"\"\n",
    "        CO2eqv = 118.17 + 32*CH4_GWP*G_TO_KG + 4.2*N2O_GWP*G_TO_KG \n",
    "    elif fuelType == \"RFO\": \n",
    "        \"\"\"Residual Fuel Oil (incl. Nos. 5 & 6 fuel oils, and bunker C fuel oil) [No. 5, No.6]\"\"\"\n",
    "        tempCO2 = (72.93 + 75.10)/2 #Average No.5, No.6\n",
    "        CO2eqv = tempCO2 + 3.0*CH4_GWP*G_TO_KG + 0.60*N2O_GWP*G_TO_KG \n",
    "    elif fuelType == \"TDF\": \n",
    "        \"\"\"Tire-Derived Fuels [Tires]\"\"\"\n",
    "        CO2eqv = 85.97 + 32*CH4_GWP*G_TO_KG + 4.2*N2O_GWP*G_TO_KG  \n",
    "    elif fuelType == \"OBG\": \n",
    "        \"\"\"Other Biomass Gas\"\"\"\n",
    "        CO2eqv = 52.07 + 3.2*CH4_GWP*G_TO_KG + 0.63*N2O_GWP*G_TO_KG \n",
    "    else:                \n",
    "        CO2eqv = 0\n",
    "    \n",
    "    GHG = (CO2eqv * fuelConsumption) * KG_TO_LBS # ((kg/MMbtu) * MMBtu) \n",
    "    return round(GHG, 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ec990d4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Estimate GHG Emissions\n",
    "fuelAndGeneration_2018long['GHG Estimate (lbs)'] = fuelAndGeneration_2018long.apply(lambda row: GHG_estimate(row['Reported Fuel Type Code'],row['Electric Fuel Consumption (MMBtu)'],row['Net Generation (MWh)']),axis=1)\n",
    "fuelAndGeneration_2018long = fuelAndGeneration_2018long[ fuelAndGeneration_2018long['GHG Estimate (lbs)'] > 0 ] \n",
    "#fuelAndGeneration_2018long.to_csv('fuelAndGeneration_2018long.csv')\n",
    "#fuelAndGeneration_2018long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e7590699",
   "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>Month</th>\n",
       "      <th>Plant ID</th>\n",
       "      <th>GHG Estimate (lbs)</th>\n",
       "      <th>Net Generation (MWh)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3.385828e+08</td>\n",
       "      <td>1267682.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>4.145301e+06</td>\n",
       "      <td>14592.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2.683336e+08</td>\n",
       "      <td>665047.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>1.432610e+06</td>\n",
       "      <td>3601.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>2.123426e+07</td>\n",
       "      <td>72463.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Month  Plant ID  GHG Estimate (lbs)  Net Generation (MWh)\n",
       "0      1         3        3.385828e+08             1267682.0\n",
       "1      1         7        4.145301e+06               14592.0\n",
       "2      1         8        2.683336e+08              665047.0\n",
       "3      1         9        1.432610e+06                3601.0\n",
       "4      1        10        2.123426e+07               72463.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Aggregate GHG Emissions by plant\n",
    "fuelAndGeneration_2018_AggPlant = fuelAndGeneration_2018long.groupby(by = ['Month','Plant ID'],as_index=False).agg( {'GHG Estimate (lbs)': ['sum'],\n",
    "                                                                                                                    'Net Generation (MWh)': ['sum']})\n",
    "\n",
    "fuelAndGeneration_2018_AggPlant.columns = fuelAndGeneration_2018_AggPlant.columns.droplevel(1)\n",
    "fuelAndGeneration_2018_AggPlant.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6e60159",
   "metadata": {},
   "source": [
    "### Data Preparation Visualization 1: Balancing Authority Data\n",
    "\n",
    "- Match Balancing Authority Acronyms with Balancing authority shapefiles\n",
    "- Find the centroid of the balancing authorities\n",
    "- Import electricty transfer data between balancing authorities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f787bd79",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Balancing Authority Shape Data\n",
    "balancing_Authorities = gpd.read_file('./BA Geometry/Control_Areas.geojson')\n",
    "balancing_Authorities = balancing_Authorities.set_index('OBJECTID')\n",
    "balancing_Authorities = balancing_Authorities[(balancing_Authorities['STATE'] != 'AK') & (balancing_Authorities['STATE'] != 'HI' )]\n",
    "#print(balancing_Authorities.crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f7668a94",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Import Balacing Authority Acronym List\n",
    "BA_Acronyms = pd.read_csv('./BA Geometry/Balancing Authorities EIA930 HIFDL 2018.csv')\n",
    "BA_Acronyms\n",
    "\n",
    "# Merge Balancing Authority Shape Data with Acronyms\n",
    "BA_Acronyms = balancing_Authorities.merge(BA_Acronyms, left_on='NAME', right_on='HIFDL Name 2022', how='right')\n",
    "BA_Acronyms = BA_Acronyms[['BA Code', 'NAME', 'ADDRESS', 'CITY', 'STATE', 'ZIP', 'geometry', 'Lat', 'Long']]\n",
    "\n",
    "# Projection\n",
    "BA_Acronyms_3857 = BA_Acronyms.to_crs(epsg=3857)\n",
    "\n",
    "# Find centroids\n",
    "BA_Acronyms_3857['centroid'] = BA_Acronyms_3857.centroid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ffb98502",
   "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>BA Code</th>\n",
       "      <th>NAME</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>CITY</th>\n",
       "      <th>STATE</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>centroid</th>\n",
       "      <th>polygon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AEC</td>\n",
       "      <td>POWERSOUTH ENERGY COOPERATIVE</td>\n",
       "      <td>2027 EAST THREE NOTCH STREET</td>\n",
       "      <td>ANDALUSIA</td>\n",
       "      <td>AL</td>\n",
       "      <td>36421</td>\n",
       "      <td>POINT (-9611030.709 3729510.804)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-9611030.709 3729510.804)</td>\n",
       "      <td>MULTIPOLYGON (((-9742651.778 3539981.548, -974...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AECI</td>\n",
       "      <td>ASSOCIATED ELECTRIC COOPERATIVE, INC.</td>\n",
       "      <td>2814 S GOLDEN AVE</td>\n",
       "      <td>SPRINGFIELD</td>\n",
       "      <td>MO</td>\n",
       "      <td>65807</td>\n",
       "      <td>POINT (-10358940.507 4601289.142)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-10358940.507 4601289.142)</td>\n",
       "      <td>MULTIPOLYGON (((-10074508.538 4224075.067, -10...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AVA</td>\n",
       "      <td>AVISTA CORPORATION</td>\n",
       "      <td>1411 EAST MISSION AVENUE</td>\n",
       "      <td>SPOKANE</td>\n",
       "      <td>WA</td>\n",
       "      <td>99220</td>\n",
       "      <td>POINT (-13014863.554 5952876.520)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-13014863.554 5952876.520)</td>\n",
       "      <td>MULTIPOLYGON (((-13063826.484 6274913.995, -13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AVRN</td>\n",
       "      <td>AVANGRID RENEWABLES LLC</td>\n",
       "      <td>1125 NW COUCH ST., SUITE 700</td>\n",
       "      <td>PORTLAND</td>\n",
       "      <td>OR</td>\n",
       "      <td>97209</td>\n",
       "      <td>POINT (-13444729.595 5393305.285)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-13444729.595 5393305.285)</td>\n",
       "      <td>MULTIPOLYGON (((-13467963.213 5406452.355, -13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AZPS</td>\n",
       "      <td>ARIZONA PUBLIC SERVICE COMPANY</td>\n",
       "      <td>MS # 9997</td>\n",
       "      <td>PHOENIX</td>\n",
       "      <td>AZ</td>\n",
       "      <td>85072</td>\n",
       "      <td>POINT (-12474930.473 3993335.322)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-12474930.473 3993335.322)</td>\n",
       "      <td>MULTIPOLYGON (((-12165073.555 3702720.955, -12...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  BA Code                                   NAME  \\\n",
       "0     AEC          POWERSOUTH ENERGY COOPERATIVE   \n",
       "1    AECI  ASSOCIATED ELECTRIC COOPERATIVE, INC.   \n",
       "2     AVA                     AVISTA CORPORATION   \n",
       "3    AVRN                AVANGRID RENEWABLES LLC   \n",
       "4    AZPS         ARIZONA PUBLIC SERVICE COMPANY   \n",
       "\n",
       "                        ADDRESS         CITY STATE    ZIP  \\\n",
       "0  2027 EAST THREE NOTCH STREET    ANDALUSIA    AL  36421   \n",
       "1             2814 S GOLDEN AVE  SPRINGFIELD    MO  65807   \n",
       "2      1411 EAST MISSION AVENUE      SPOKANE    WA  99220   \n",
       "3  1125 NW COUCH ST., SUITE 700     PORTLAND    OR  97209   \n",
       "4                     MS # 9997      PHOENIX    AZ  85072   \n",
       "\n",
       "                            geometry  Lat  Long  \\\n",
       "0   POINT (-9611030.709 3729510.804)  NaN   NaN   \n",
       "1  POINT (-10358940.507 4601289.142)  NaN   NaN   \n",
       "2  POINT (-13014863.554 5952876.520)  NaN   NaN   \n",
       "3  POINT (-13444729.595 5393305.285)  NaN   NaN   \n",
       "4  POINT (-12474930.473 3993335.322)  NaN   NaN   \n",
       "\n",
       "                            centroid  \\\n",
       "0   POINT (-9611030.709 3729510.804)   \n",
       "1  POINT (-10358940.507 4601289.142)   \n",
       "2  POINT (-13014863.554 5952876.520)   \n",
       "3  POINT (-13444729.595 5393305.285)   \n",
       "4  POINT (-12474930.473 3993335.322)   \n",
       "\n",
       "                                             polygon  \n",
       "0  MULTIPOLYGON (((-9742651.778 3539981.548, -974...  \n",
       "1  MULTIPOLYGON (((-10074508.538 4224075.067, -10...  \n",
       "2  MULTIPOLYGON (((-13063826.484 6274913.995, -13...  \n",
       "3  MULTIPOLYGON (((-13467963.213 5406452.355, -13...  \n",
       "4  MULTIPOLYGON (((-12165073.555 3702720.955, -12...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BA_Acronyms_3857['polygon'] = BA_Acronyms_3857['geometry']\n",
    "\n",
    "BA_Acronyms_3857['geometry'] = BA_Acronyms_3857['centroid']\n",
    "BA_Acronyms_3857.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b8ae8623",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BA Code</th>\n",
       "      <th>NAME</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>CITY</th>\n",
       "      <th>STATE</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>centroid</th>\n",
       "      <th>polygon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AEC</td>\n",
       "      <td>POWERSOUTH ENERGY COOPERATIVE</td>\n",
       "      <td>2027 EAST THREE NOTCH STREET</td>\n",
       "      <td>ANDALUSIA</td>\n",
       "      <td>AL</td>\n",
       "      <td>36421</td>\n",
       "      <td>POINT (-9611030.709 3729510.804)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-9611030.709 3729510.804)</td>\n",
       "      <td>MULTIPOLYGON (((-9742651.778 3539981.548, -974...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AECI</td>\n",
       "      <td>ASSOCIATED ELECTRIC COOPERATIVE, INC.</td>\n",
       "      <td>2814 S GOLDEN AVE</td>\n",
       "      <td>SPRINGFIELD</td>\n",
       "      <td>MO</td>\n",
       "      <td>65807</td>\n",
       "      <td>POINT (-10358940.507 4601289.142)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-10358940.507 4601289.142)</td>\n",
       "      <td>MULTIPOLYGON (((-10074508.538 4224075.067, -10...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AVA</td>\n",
       "      <td>AVISTA CORPORATION</td>\n",
       "      <td>1411 EAST MISSION AVENUE</td>\n",
       "      <td>SPOKANE</td>\n",
       "      <td>WA</td>\n",
       "      <td>99220</td>\n",
       "      <td>POINT (-13014863.554 5952876.520)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-13014863.554 5952876.520)</td>\n",
       "      <td>MULTIPOLYGON (((-13063826.484 6274913.995, -13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AVRN</td>\n",
       "      <td>AVANGRID RENEWABLES LLC</td>\n",
       "      <td>1125 NW COUCH ST., SUITE 700</td>\n",
       "      <td>PORTLAND</td>\n",
       "      <td>OR</td>\n",
       "      <td>97209</td>\n",
       "      <td>POINT (-13444729.595 5393305.285)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-13444729.595 5393305.285)</td>\n",
       "      <td>MULTIPOLYGON (((-13467963.213 5406452.355, -13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AZPS</td>\n",
       "      <td>ARIZONA PUBLIC SERVICE COMPANY</td>\n",
       "      <td>MS # 9997</td>\n",
       "      <td>PHOENIX</td>\n",
       "      <td>AZ</td>\n",
       "      <td>85072</td>\n",
       "      <td>POINT (-12474930.473 3993335.322)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-12474930.473 3993335.322)</td>\n",
       "      <td>MULTIPOLYGON (((-12165073.555 3702720.955, -12...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  BA Code                                   NAME  \\\n",
       "0     AEC          POWERSOUTH ENERGY COOPERATIVE   \n",
       "1    AECI  ASSOCIATED ELECTRIC COOPERATIVE, INC.   \n",
       "2     AVA                     AVISTA CORPORATION   \n",
       "3    AVRN                AVANGRID RENEWABLES LLC   \n",
       "4    AZPS         ARIZONA PUBLIC SERVICE COMPANY   \n",
       "\n",
       "                        ADDRESS         CITY STATE    ZIP  \\\n",
       "0  2027 EAST THREE NOTCH STREET    ANDALUSIA    AL  36421   \n",
       "1             2814 S GOLDEN AVE  SPRINGFIELD    MO  65807   \n",
       "2      1411 EAST MISSION AVENUE      SPOKANE    WA  99220   \n",
       "3  1125 NW COUCH ST., SUITE 700     PORTLAND    OR  97209   \n",
       "4                     MS # 9997      PHOENIX    AZ  85072   \n",
       "\n",
       "                            geometry  Lat  Long  \\\n",
       "0   POINT (-9611030.709 3729510.804)  NaN   NaN   \n",
       "1  POINT (-10358940.507 4601289.142)  NaN   NaN   \n",
       "2  POINT (-13014863.554 5952876.520)  NaN   NaN   \n",
       "3  POINT (-13444729.595 5393305.285)  NaN   NaN   \n",
       "4  POINT (-12474930.473 3993335.322)  NaN   NaN   \n",
       "\n",
       "                            centroid  \\\n",
       "0   POINT (-9611030.709 3729510.804)   \n",
       "1  POINT (-10358940.507 4601289.142)   \n",
       "2  POINT (-13014863.554 5952876.520)   \n",
       "3  POINT (-13444729.595 5393305.285)   \n",
       "4  POINT (-12474930.473 3993335.322)   \n",
       "\n",
       "                                             polygon  \n",
       "0  MULTIPOLYGON (((-9742651.778 3539981.548, -974...  \n",
       "1  MULTIPOLYGON (((-10074508.538 4224075.067, -10...  \n",
       "2  MULTIPOLYGON (((-13063826.484 6274913.995, -13...  \n",
       "3  MULTIPOLYGON (((-13467963.213 5406452.355, -13...  \n",
       "4  MULTIPOLYGON (((-12165073.555 3702720.955, -12...  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BA_Acronyms_3857 = BA_Acronyms_3857.set_geometry('centroid')\n",
    "BA_Acronyms_3857.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a0f4ef32",
   "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>origin</th>\n",
       "      <th>destination</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>monthlyTransferMWh</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>119447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>67662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>41530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "      <td>30003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>5</td>\n",
       "      <td>50136</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  origin destination  Year  Month  monthlyTransferMWh\n",
       "0    AEC        MISO  2018      1              119447\n",
       "1    AEC        MISO  2018      2               67662\n",
       "2    AEC        MISO  2018      3               41530\n",
       "3    AEC        MISO  2018      4               30003\n",
       "4    AEC        MISO  2018      5               50136"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import electricity transfer data\n",
    "transferData_2018 = pd.read_csv('./Transfer Data/Total.Monthly.Transfers 2018 4.6.2022.csv')\n",
    "transferData_2018.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a5a5ecf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATEFP</th>\n",
       "      <th>STATENS</th>\n",
       "      <th>GEOID</th>\n",
       "      <th>STUSPS</th>\n",
       "      <th>NAME</th>\n",
       "      <th>LSAD</th>\n",
       "      <th>MTFCC</th>\n",
       "      <th>FUNCSTAT</th>\n",
       "      <th>ALAND</th>\n",
       "      <th>AWATER</th>\n",
       "      <th>INTPTLAT</th>\n",
       "      <th>INTPTLON</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
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       "      <td>54</td>\n",
       "      <td>01779805</td>\n",
       "      <td>54</td>\n",
       "      <td>WV</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>62266296765</td>\n",
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       "      <td>POLYGON ((-81.74725 39.09538, -81.74635 39.096...</td>\n",
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       "    <tr>\n",
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       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>00294478</td>\n",
       "      <td>12</td>\n",
       "      <td>FL</td>\n",
       "      <td>Florida</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>138958484319</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>01779784</td>\n",
       "      <td>17</td>\n",
       "      <td>IL</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>143778461053</td>\n",
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       "      <td>4</td>\n",
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       "      <td>00662849</td>\n",
       "      <td>27</td>\n",
       "      <td>MN</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>206232157570</td>\n",
       "      <td>18949864226</td>\n",
       "      <td>+46.3159573</td>\n",
       "      <td>-094.1996043</td>\n",
       "      <td>POLYGON ((-96.78438 46.63050, -96.78434 46.630...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>01714934</td>\n",
       "      <td>24</td>\n",
       "      <td>MD</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>00</td>\n",
       "      <td>G4000</td>\n",
       "      <td>A</td>\n",
       "      <td>25151895765</td>\n",
       "      <td>6979171386</td>\n",
       "      <td>+38.9466584</td>\n",
       "      <td>-076.6744939</td>\n",
       "      <td>POLYGON ((-77.45881 39.22027, -77.45866 39.220...</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "  REGION DIVISION STATEFP   STATENS  GEOID STUSPS           NAME LSAD  MTFCC  \\\n",
       "0      3        5      54  01779805     54     WV  West Virginia   00  G4000   \n",
       "1      3        5      12  00294478     12     FL        Florida   00  G4000   \n",
       "2      2        3      17  01779784     17     IL       Illinois   00  G4000   \n",
       "3      2        4      27  00662849     27     MN      Minnesota   00  G4000   \n",
       "4      3        5      24  01714934     24     MD       Maryland   00  G4000   \n",
       "\n",
       "  FUNCSTAT         ALAND       AWATER     INTPTLAT      INTPTLON  \\\n",
       "0        A   62266296765    489206049  +38.6472854  -080.6183274   \n",
       "1        A  138958484319  45975808217  +28.3989775  -082.5143005   \n",
       "2        A  143778461053   6216594318  +40.1028754  -089.1526108   \n",
       "3        A  206232157570  18949864226  +46.3159573  -094.1996043   \n",
       "4        A   25151895765   6979171386  +38.9466584  -076.6744939   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-81.74725 39.09538, -81.74635 39.096...  \n",
       "1  MULTIPOLYGON (((-86.39964 30.22696, -86.40262 ...  \n",
       "2  POLYGON ((-91.18529 40.63780, -91.17510 40.643...  \n",
       "3  POLYGON ((-96.78438 46.63050, -96.78434 46.630...  \n",
       "4  POLYGON ((-77.45881 39.22027, -77.45866 39.220...  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#import the us state data\n",
    "usa_state = gpd.read_file('./State Data/tl_2020_us_state.shp')\n",
    "#change the geoid column into int type\n",
    "usa_state['GEOID'] = usa_state['GEOID'].astype(int)\n",
    "usa_state.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bcd14cfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "#change the state data coordinate reference system to EPSG3857\n",
    "usa_state = usa_state.to_crs(\"EPSG:3857\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "31a3262a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#only select the regions of US that we want to look into\n",
    "usa_state['REGION'].unique()\n",
    "usa_state.loc[usa_state['REGION'] != '9'].plot()\n",
    "base = usa_state.loc[(usa_state['NAME'] != 'Hawaii') & (usa_state['NAME'] != 'Alaska') & (usa_state['REGION'] != '9')]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61b43708",
   "metadata": {},
   "source": [
    "## Visualization 1:  Map of BA-to-BA electric transfers\n",
    "\n",
    "- How is electricity, and subsequently embedded resources and emissions, transferred around the U.S.?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2688c25a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jenni\\.conda\\envs\\geog489\\lib\\site-packages\\geopandas\\plotting.py:644: UserWarning: Only specify one of 'column' or 'color'. Using 'color'.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3600x3600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot the balancing authority location over US map\n",
    "fig, ax = plt.subplots(figsize=(50,50))\n",
    "\n",
    "usa_state.loc[(usa_state['NAME'] != 'Hawaii') & (usa_state['NAME'] != 'Alaska') & (usa_state['REGION'] != '9')].plot(ax=ax,color='grey')\n",
    "\n",
    "BA_Acronyms_3857.plot(column='BA Code', ax=ax, legend=True, markersize=300,marker='^',color='red')\n",
    "plt.title('Balancing Authority location',size=100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9a2c9dfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#set the relation data to G\n",
    "import networkx as nx\n",
    "G = nx.from_pandas_edgelist(transferData_2018,source = 'origin', target = 'destination',edge_attr = 'monthlyTransferMWh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e37ac1e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#method 1 networkX\n",
    "# all graph options\n",
    "graphs_viz_options = [nx.draw, nx.draw_networkx, nx.draw_circular, nx.draw_kamada_kawai, nx.draw_random, nx.draw_shell, nx.draw_spring]\n",
    "\n",
    "# plot graph option, can change from 0 to 6 to choose differernt plotting methods\n",
    "selected_graph_option = 2\n",
    "# plot\n",
    "plt.figure(figsize=(30,30), dpi=50) \n",
    "graphs_viz_options[selected_graph_option](G)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5e8d4a03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"500px\"\n",
       "            height=\"500px\"\n",
       "            src=\"example.html\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x213a96cdf30>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#method 2\n",
    "from pyvis.network import Network\n",
    "#create vis network\n",
    "net = Network(notebook = True)\n",
    "#load the networkx graph\n",
    "net.from_nx(G)\n",
    "#show\n",
    "net.show(\"example.html\")\n",
    "#the graph can be dragged to show the relationships between points"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9ce9e65",
   "metadata": {},
   "source": [
    "### Data Preparation Visualization 2: Emissions and Location Dataframe \n",
    "\n",
    "- Merge plant-level emissions data with plant location data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "46acf8d1",
   "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>Month</th>\n",
       "      <th>Plant ID</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Balancing Authority Code</th>\n",
       "      <th>GHG Estimate (lbs)</th>\n",
       "      <th>Net Generation (MWh)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>31.006900</td>\n",
       "      <td>-88.010300</td>\n",
       "      <td>SOCO</td>\n",
       "      <td>3.385828e+08</td>\n",
       "      <td>1267682.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>34.012800</td>\n",
       "      <td>-85.970800</td>\n",
       "      <td>SOCO</td>\n",
       "      <td>4.145301e+06</td>\n",
       "      <td>14592.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>33.644344</td>\n",
       "      <td>-87.196486</td>\n",
       "      <td>SOCO</td>\n",
       "      <td>2.683336e+08</td>\n",
       "      <td>665047.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>31.756900</td>\n",
       "      <td>-106.375000</td>\n",
       "      <td>EPE</td>\n",
       "      <td>1.432610e+06</td>\n",
       "      <td>3601.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>32.601700</td>\n",
       "      <td>-87.781100</td>\n",
       "      <td>SOCO</td>\n",
       "      <td>2.123426e+07</td>\n",
       "      <td>72463.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Month  Plant ID   Latitude    Longitude Balancing Authority Code  \\\n",
       "0      1         3  31.006900   -88.010300                     SOCO   \n",
       "1      1         7  34.012800   -85.970800                     SOCO   \n",
       "2      1         8  33.644344   -87.196486                     SOCO   \n",
       "3      1         9  31.756900  -106.375000                      EPE   \n",
       "4      1        10  32.601700   -87.781100                     SOCO   \n",
       "\n",
       "   GHG Estimate (lbs)  Net Generation (MWh)  \n",
       "0        3.385828e+08             1267682.0  \n",
       "1        4.145301e+06               14592.0  \n",
       "2        2.683336e+08              665047.0  \n",
       "3        1.432610e+06                3601.0  \n",
       "4        2.123426e+07               72463.0  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge with plant-level GHG Emissions data with plant location data\n",
    "fuelAndGeneration_2018_location =  pd.merge(fuelAndGeneration_2018_AggPlant,\n",
    "                                                plantData_2018, \n",
    "                                                left_on=['Plant ID'], \n",
    "                                                right_on=['Plant Code'],\n",
    "                                                how = 'left',\n",
    "                                                suffixes =  ('', '_2'))\n",
    "fuelAndGeneration_2018_location = fuelAndGeneration_2018_location[['Month', 'Plant ID', 'Latitude', 'Longitude', 'Balancing Authority Code',\n",
    "                                                                           'GHG Estimate (lbs)', 'Net Generation (MWh)']] \n",
    "fuelAndGeneration_2018_location = fuelAndGeneration_2018_location[fuelAndGeneration_2018_location['Net Generation (MWh)'] > 0]\n",
    "#fuelAndGeneration_2018_location.to_csv('fuelAndGeneration_2018_location.csv')\n",
    "fuelAndGeneration_2018_location.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "102863ce",
   "metadata": {},
   "source": [
    "## Visualization 2:  Map of Point Source GHG Emissions\n",
    "\n",
    "- How are greenhouse gases spatially emitted by electricty generation in the U.S.?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "b60f158a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "config": {
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Estimate 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Estimate 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Estimate 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Estimate 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Estimate 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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter_geo(fuelAndGeneration_2018_location, \n",
    "                     lat = \"Latitude\",\n",
    "                     lon = \"Longitude\",\n",
    "                     hover_name=\"Plant ID\", \n",
    "                     size=\"GHG Estimate (lbs)\",\n",
    "                     animation_frame=\"Month\",\n",
    "                     projection=\"albers usa\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e2451b4",
   "metadata": {},
   "source": [
    "### Data Preparation Visualization 3: Emissions and Fuel Type Dataframe \n",
    "\n",
    "- Determine the primary fuel(s) used for each power plant\n",
    "    - Aggregate various coal types together\n",
    "    - By mass, most emissions come from coal and nattural gas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3e0f4b55",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a function to convert the codes of different coal type to a standard 'COAL'\n",
    "def coal(fuelType):\n",
    "    COAL_CODES = ['ANT','BIT','LIG','SUB','RC','WC']\n",
    "    \n",
    "    if fuelType in COAL_CODES:\n",
    "        fuelType = 'COAL'\n",
    "    \n",
    "    return fuelType"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "435b5848",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert the codes of different coal types to 'COAL'\n",
    "fuelAndGeneration_2018long_Coal = fuelAndGeneration_2018long.copy()\n",
    "fuelAndGeneration_2018long_Coal['Reported Fuel Type Code'] = fuelAndGeneration_2018long.apply(lambda row: coal(row['Reported Fuel Type Code']),axis=1)\n",
    "#fuelAndGeneration_2018long_Coal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "970876f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Aggregate GHG Emissions by fuel type\n",
    "emissions_byAllFuel_2018_Agg = fuelAndGeneration_2018long_Coal.groupby(by = ['Reported Fuel Type Code'],as_index=False).agg( {'GHG Estimate (lbs)': ['sum'],\n",
    "                                                                                                                         'Net Generation (MWh)': ['sum']})\n",
    "\n",
    "emissions_byAllFuel_2018_Agg.columns = emissions_byAllFuel_2018_Agg.columns.droplevel(1)\n",
    "emissions_byAllFuel_2018_Agg['GHG emissions (lbs/MWh)'] = emissions_byAllFuel_2018_Agg['GHG Estimate (lbs)'] / emissions_byAllFuel_2018_Agg['Net Generation (MWh)']\n",
    "ax = emissions_byAllFuel_2018_Agg.plot.bar(x='Reported Fuel Type Code', y='GHG Estimate (lbs)', rot=0)\n",
    "#ax = emissions_byAllFuel_2018_Agg.plot.bar(x='Reported Fuel Type Code', y='GHG emissions (lbs/MWh)', rot=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06f45ff1",
   "metadata": {},
   "source": [
    "#### Table 1: Fuel Type Codes\n",
    "\n",
    "| Fuel Code | Fuel |\n",
    "| ---       | ---  |\n",
    "| AB | Agricultural By-Products |\n",
    "| COAL | Coal |\n",
    "| DFO | Distillate Fuel Oil |\n",
    "| JF | Jet Fuel |\n",
    "| KER | Kerosene |\n",
    "| LFG | Landfill Gas |\n",
    "| NG | Natural Gas |\n",
    "| OBG | Other Biomass Gas |\n",
    "| PC | Petroleum Coke |\n",
    "| PG | Propane Gas |\n",
    "| RFO | Residual Fuel Oil |\n",
    "| TDF | Tire-Derived Fuels |\n",
    "| WDS | Wood/Wood Waste Solids |\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7931a3fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Aggregate generation and emissions by plant and fuel type\n",
    "fuelAndGeneration_2018_AggFuel = fuelAndGeneration_2018long_Coal.groupby(by = ['Month','Plant ID','Reported Fuel Type Code'],as_index=False).agg( {'GHG Estimate (lbs)': ['sum'],\n",
    "                                                                                                                                              'Net Generation (MWh)': ['sum']})\n",
    "\n",
    "fuelAndGeneration_2018_AggFuel.columns = fuelAndGeneration_2018_AggFuel.columns.droplevel(1)\n",
    "\n",
    "# Keep emissions above a given threshold to get rid of secondary fuels\n",
    "emissions_threshold3 = fuelAndGeneration_2018_AggFuel['GHG Estimate (lbs)'].quantile(.25)\n",
    "\n",
    "fuelAndGeneration_2018_AggFuel_quantile = fuelAndGeneration_2018_AggFuel[fuelAndGeneration_2018_AggFuel['GHG Estimate (lbs)'] > emissions_threshold3]\n",
    "#fuelAndGeneration_2018_AggFuel_quantile\n",
    "\n",
    "# Keep emissions only for NG and Coal\n",
    "fuelAndGeneration_2018_AggFuel_CoalNG = fuelAndGeneration_2018_AggFuel[fuelAndGeneration_2018_AggFuel['Reported Fuel Type Code'].isin(['NG','COAL']) ]\n",
    "#fuelAndGeneration_2018_AggFuel_CoalNG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "668303d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find the primary fuels for each plant\n",
    "\n",
    "# What percentage of total plant generation is each fuel type responsible for?\n",
    "fuelType_AggPlant =  pd.merge(fuelAndGeneration_2018_AggFuel_CoalNG,\n",
    "                              fuelAndGeneration_2018_AggPlant,\n",
    "                              left_on=['Plant ID','Month'], \n",
    "                              right_on=['Plant ID','Month'],\n",
    "                              how = 'left',\n",
    "                              suffixes =  ('', '_2'))\n",
    "\n",
    "fuelType_AggPlant = fuelType_AggPlant[['Month','Plant ID', 'Reported Fuel Type Code', \n",
    "                                       'Net Generation (MWh)','Net Generation (MWh)_2']] \n",
    "#Keep fuels with generation greater than 0\n",
    "fuelType_AggPlant = fuelType_AggPlant[fuelType_AggPlant['Net Generation (MWh)'] > 0] \n",
    "#Keep fuels that are more than 45% of total plant generation\n",
    "fuelType_AggPlant = fuelType_AggPlant[(fuelType_AggPlant['Net Generation (MWh)'] / fuelType_AggPlant['Net Generation (MWh)_2']) > 0.30]\n",
    "fuelType_AggPlant['% gen'] = (fuelType_AggPlant['Net Generation (MWh)'] / fuelType_AggPlant['Net Generation (MWh)_2']) * 100\n",
    "#fuelType_AggPlant.to_csv('fuelType_AggPlant.csv')\n",
    "#fuelType_AggPlant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a25c09cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create function for aggregting to a single fuel type\n",
    "def aggFuelType(x):\n",
    "    unique = []\n",
    "    \n",
    "    for val in x:\n",
    "        if val not in unique:\n",
    "            unique.append(val)\n",
    "            \n",
    "    unique.sort()\n",
    "    \n",
    "    if len(unique) == 1:\n",
    "        unique = unique[0] \n",
    "    elif unique == ['COAL','NG']:\n",
    "        unique = 'COAL_NG'\n",
    "    else:\n",
    "        unique = tuple(unique)\n",
    "        \n",
    "    return unique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "aba465a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Aggregate by plant to find primary fuel type(s)\n",
    "fuelType_AggPlant2 = fuelType_AggPlant.groupby(by = ['Plant ID','Month'],as_index=False).agg( {'Reported Fuel Type Code': [aggFuelType]})\n",
    "\n",
    "fuelType_AggPlant2.columns = fuelType_AggPlant2.columns.droplevel(1)\n",
    "#fuelType_AggPlant2['Reported Fuel Type Code'].value_counts()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "57c0178b",
   "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>Month</th>\n",
       "      <th>Plant ID</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Balancing Authority Code</th>\n",
       "      <th>GHG Estimate (lbs)</th>\n",
       "      <th>Net Generation (MWh)</th>\n",
       "      <th>Reported Fuel Type Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>31.006900</td>\n",
       "      <td>-88.010300</td>\n",
       "      <td>SOCO</td>\n",
       "      <td>3.385828e+08</td>\n",
       "      <td>1267682.0</td>\n",
       "      <td>COAL_NG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>34.012800</td>\n",
       "      <td>-85.970800</td>\n",
       "      <td>SOCO</td>\n",
       "      <td>4.145301e+06</td>\n",
       "      <td>14592.0</td>\n",
       "      <td>NG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>33.644344</td>\n",
       "      <td>-87.196486</td>\n",
       "      <td>SOCO</td>\n",
       "      <td>2.683336e+08</td>\n",
       "      <td>665047.0</td>\n",
       "      <td>COAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>31.756900</td>\n",
       "      <td>-106.375000</td>\n",
       "      <td>EPE</td>\n",
       "      <td>1.432610e+06</td>\n",
       "      <td>3601.0</td>\n",
       "      <td>NG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>32.601700</td>\n",
       "      <td>-87.781100</td>\n",
       "      <td>SOCO</td>\n",
       "      <td>2.123426e+07</td>\n",
       "      <td>72463.0</td>\n",
       "      <td>NG</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Month  Plant ID   Latitude    Longitude Balancing Authority Code  \\\n",
       "0      1         3  31.006900   -88.010300                     SOCO   \n",
       "1      1         7  34.012800   -85.970800                     SOCO   \n",
       "2      1         8  33.644344   -87.196486                     SOCO   \n",
       "3      1         9  31.756900  -106.375000                      EPE   \n",
       "4      1        10  32.601700   -87.781100                     SOCO   \n",
       "\n",
       "   GHG Estimate (lbs)  Net Generation (MWh) Reported Fuel Type Code  \n",
       "0        3.385828e+08             1267682.0                 COAL_NG  \n",
       "1        4.145301e+06               14592.0                      NG  \n",
       "2        2.683336e+08              665047.0                    COAL  \n",
       "3        1.432610e+06                3601.0                      NG  \n",
       "4        2.123426e+07               72463.0                      NG  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge plant emissions with fuel type\n",
    "emissions_primaryFuelType =  pd.merge(fuelAndGeneration_2018_location,\n",
    "                                        fuelType_AggPlant2, \n",
    "                                        left_on=['Plant ID','Month'], \n",
    "                                        right_on=['Plant ID','Month'],\n",
    "                                        how = 'left',\n",
    "                                        suffixes =  ('', '_2'))\n",
    "\n",
    "emissions_primaryFuelType = emissions_primaryFuelType.dropna()\n",
    "#emissions_primaryFuelType.to_csv('emissions_primaryFuelType.csv')\n",
    "emissions_primaryFuelType.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b4309a9",
   "metadata": {},
   "source": [
    "### Data Preparation Visualization 3: Census Data Preparation\n",
    "\n",
    "- Import median houshold income by census tract\n",
    "- Import census tract shapefiles\n",
    "- Merge income data with geometric data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "04b21fe8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>GEOID</th>\n",
       "      <th>Median income (dollars)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01001020100</td>\n",
       "      <td>58625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01001020200</td>\n",
       "      <td>43531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01001020300</td>\n",
       "      <td>51875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01001020400</td>\n",
       "      <td>54050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01001020500</td>\n",
       "      <td>72417</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         GEOID Median income (dollars)\n",
       "0  01001020100                   58625\n",
       "1  01001020200                   43531\n",
       "2  01001020300                   51875\n",
       "3  01001020400                   54050\n",
       "4  01001020500                   72417"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import median household income by census tract\n",
    "medianIncome_2018 = pd.read_csv('./Income Data/Median Income by Census Tract.csv',header=1)\n",
    "medianIncome_2018 = medianIncome_2018[['id', 'Estimate!!Households!!Median income (dollars)']]\n",
    "medianIncome_2018['GEOID'] = medianIncome_2018['id'].str.split('US', 1, expand=True)[1]\n",
    "medianIncome_2018 = medianIncome_2018.rename(columns = {'Estimate!!Households!!Median income (dollars)': 'Median income (dollars)'})\n",
    "medianIncome_2018 = medianIncome_2018[['GEOID', 'Median income (dollars)']]\n",
    "medianIncome_2018.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "36692aab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>GEOID</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01087232100</td>\n",
       "      <td>POLYGON ((-85.73401 32.40810, -85.73390 32.408...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01101002201</td>\n",
       "      <td>POLYGON ((-86.31642 32.34430, -86.31624 32.344...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01101002202</td>\n",
       "      <td>POLYGON ((-86.31681 32.32241, -86.31599 32.322...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01101002300</td>\n",
       "      <td>POLYGON ((-86.33477 32.32758, -86.33457 32.328...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01101002400</td>\n",
       "      <td>POLYGON ((-86.34781 32.32959, -86.34670 32.332...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         GEOID                                           geometry\n",
       "0  01087232100  POLYGON ((-85.73401 32.40810, -85.73390 32.408...\n",
       "1  01101002201  POLYGON ((-86.31642 32.34430, -86.31624 32.344...\n",
       "2  01101002202  POLYGON ((-86.31681 32.32241, -86.31599 32.322...\n",
       "3  01101002300  POLYGON ((-86.33477 32.32758, -86.33457 32.328...\n",
       "4  01101002400  POLYGON ((-86.34781 32.32959, -86.34670 32.332..."
      ]
     },
     "execution_count": 36,
     "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": [
    "# Import U.S. census tract shapefiles\n",
    "censusTract_stateIDs = list(range(1,57))\n",
    "removeVals = [3, 7, 14, 43, 52] # not US state or DC\n",
    "nonContiguous = [2,15] # [Hawaii, Alaska]\n",
    "censusTract_stateIDs = [i for i in censusTract_stateIDs if i not in removeVals]\n",
    "censusTract_stateIDs_contiguous = [i for i in censusTract_stateIDs if i not in nonContiguous]\n",
    "\n",
    "for n in censusTract_stateIDs_contiguous:\n",
    "    if n < 10:\n",
    "        tractID = '0'+str(n)\n",
    "    else:\n",
    "        tractID = str(n)\n",
    "    \n",
    "    tract_temp = gpd.read_file(f'./censusTracts_2018/tl_2018_{tractID}_tract/tl_2018_{tractID}_tract.shp')\n",
    "    tract_temp = tract_temp[['GEOID','geometry']]\n",
    "        \n",
    "    if n == 1:\n",
    "        US_tracts = tract_temp.copy()\n",
    "    else:\n",
    "        frames = [US_tracts,tract_temp]\n",
    "        US_tracts = pd.concat(frames, sort=False)\n",
    "       \n",
    "US_tracts.plot(\"GEOID\", cmap=\"Blues\")  \n",
    "US_tracts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "5a31958f",
   "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>GEOID</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Median income (dollars)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01087232100</td>\n",
       "      <td>POLYGON ((-85.73401 32.40810, -85.73390 32.408...</td>\n",
       "      <td>37098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01101002201</td>\n",
       "      <td>POLYGON ((-86.31642 32.34430, -86.31624 32.344...</td>\n",
       "      <td>26829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01101002202</td>\n",
       "      <td>POLYGON ((-86.31681 32.32241, -86.31599 32.322...</td>\n",
       "      <td>31276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01101002300</td>\n",
       "      <td>POLYGON ((-86.33477 32.32758, -86.33457 32.328...</td>\n",
       "      <td>26553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01101002400</td>\n",
       "      <td>POLYGON ((-86.34781 32.32959, -86.34670 32.332...</td>\n",
       "      <td>29250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         GEOID                                           geometry  \\\n",
       "0  01087232100  POLYGON ((-85.73401 32.40810, -85.73390 32.408...   \n",
       "1  01101002201  POLYGON ((-86.31642 32.34430, -86.31624 32.344...   \n",
       "2  01101002202  POLYGON ((-86.31681 32.32241, -86.31599 32.322...   \n",
       "3  01101002300  POLYGON ((-86.33477 32.32758, -86.33457 32.328...   \n",
       "4  01101002400  POLYGON ((-86.34781 32.32959, -86.34670 32.332...   \n",
       "\n",
       "  Median income (dollars)  \n",
       "0                   37098  \n",
       "1                   26829  \n",
       "2                   31276  \n",
       "3                   26553  \n",
       "4                   29250  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge Income data and tract geometry\n",
    "incomeData_tractGeometry = US_tracts.merge(medianIncome_2018,\n",
    "                                      left_on=\"GEOID\",\n",
    "                                      right_on='GEOID',\n",
    "                                      how = 'left')\n",
    "incomeData_tractGeometry.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "883c0151",
   "metadata": {},
   "source": [
    "## Visualization 3:  Map of Power Plants & Fuel Type and Median Household Income\n",
    "\n",
    "- What is the relationship between power plants (and subsequently emissions and pollution) and wealth?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "eb52d7da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hBQRKo/VGotaNfJVAaQrVCP77/0Z/13t76j/1K7zw3u/p8Iv+emHJ3xALt7Yd/sY9c9jW3j6XGQwGg8FgMBgMBoPBYDAYDIb9z/6P5hgMhgZ14aAUcUjhxVRl0JGgtODH3nob/+UTF7i8VqUSKh6+sEbSkVhCIATcNZNq66Tl1lwiAeZ/7J8NpU3Jz32K6bSD1po7plN8+tI640l7w/1HCPJ+RBhpzi2XWa+5G6cdiWtLXMvizFR6KG3ZCa4lauW74+PTzv00UrHgM4xqjoY1MzxbSsYTNqu74CZ8cjwJWpCybe6bGyPvB7ywyT10J2jgWr7CeNJlL8QkEIseE46kGqieWiBSaZK/9KuUv/2boJCHcOt50NJCJZNc/3f/GTU2DrDFdbXvoaSHBaoNl9RWQlXvQ7EgerOYvhORjh3Dmx219CYt7FLZRynd4nrV0uZNLlrNnmdTSbdtcDXqy21TYEvNXmmEE47EH/LGU7ZsJEXkqyH5asgNKcglbCKlcSzJXNoj6VggYodC2B2BTSeWywGTKQfP6jzNbXb03AtRd9nfcHceJFFEitGLHg+ApnJgNLBUCnn8RqvQ4umFIq84ngOtubjqc72D2GqxFPArX7jKD7z6xMiOkxCC8ZTLWNKh5Ics10Q0lpQkHMnagIKkg0Qliji/UiLt2hT9wfZ3txxKXwyYI3mwaTfbejFfHi/iXd8Rw379sJv+3uVADbX9jhRYB+CFjNrhhLHXZ7Uds0cX5YWVMhdWeqjGc/xOjksLqaKuR6S+G6tve9cwmteWmbRLwpGknO6O2AaDwWAwGAwGg8FgMBgMBoPBUMcIhA2GA4TStAiJLLHhrnuzxwWEiEuDJmyLf/CGWykHikeurvGhZ5dYbxandjgQbzw9jWdbccFRpdqW++2rPcTBnyDS5KshSVvw5lNjaA3VCD5zaY1OusJioCgGioS9904vSUc2CYI7R+WU7iz4C3ahXPnpyRQJ2260MFSapG0zk3ZZaOOU1AuHswlmM00uRTWTZynAsgUdpBRIIZC1CqMbu761tmy9jziW7C7k2xQZ1zouGV7f/pbys5sXPX2a5O//AYX/+l/x/9/vg7Q2diYIKbzp7ax+03cQzR5qWTbrWbi1tvUr8NZ6+1Lk0F5s3kyowO1xJhJEuqWvJR1J2W9df861ObdSYr3av5DsylqFu2ZyWz53rd5HimqoSDqSYI9q2UeRYlhbtmTNRVxrEi3jRHz91R2nU66F0lvPddIRhGp3xod2XFgtc9tkGrmLTsdJRxL1IcKIryHwLJCWjP8NPTlr74Yj6s06rdBac3612tZ1sxQoHrteZDbj8sJyD2KRXUAIQdpzSHutg+VY0sGyBFGkCSKFbUkK1ZvDcVhpzVK5SjlQKB0nJwyKZ0vy1Wj7Hxq2xbMld85mWj7TwDNDcJbsxDBci40QNGY/Hof92CZDd4Y5N5hMOZSDaNvnhW7004eynrXjdwDNOJZs606937AOiP17b+mxe8ulD36C41/xamTtWa/Tc3rhgYdY+6F/3mVNg+9r0pG87tTkgTmvBoPBYDAYDAaDwWAwGAwGg2F/YATCBsMBwhKxcWs9nBA1CRQFNWGjvHndhS0BSsROwknH4lUnJ3nliQmWSz7lQLFeCcl4kievr29xZCz6IZ5t0U50uRNWK2HDfqt+XhK22Fa89dV3z3Isl2gbGtJonpgvcN9sdlfCZDtxbiqHIcVg58Ib14qP2dGxBGOegyAu8TlfqLDYJfA6m/H6EgjfM5ttiFqrYYRS7YR2etOf7b9PurHTb6fv6zjWoCLJ3pdJTs/h/ON/jv0D/4joS1+A/DqkM/CSl3C+2H49fqiohip28+2DqbRDFOmeBMK9MEz3ulDBrRMprhUqLSVre0FpkBL2SNs7FKJaSdxKywDY+wG2JKxVAhxLsFoIKYdRi9NuO/ywvRtbOYgdoh1LjE4krCHn2W0F4UGkWSr5TKe8ofTTXun3emoQbZyzuqt7qDRuzdU6VHrPxNbDZD9MTUJNW3FwnaVSsK3gZzrl8K47Z3ZZytJ69Kxa8oJlCaxaPxlLOpSqEUG4kSxgSbBlfB1qOCCKPN33GP5ixd5FgZBnW9w2k93y+bMLhZE50Q5j/N4P485+Zb0atq28svmYaaDgR1xZ9ym03HM3fikETCZtVmru5nUhZjdB5pmpxK7eo5vZTefaLRyIcXj0hJHakThYEIslxxI2QaQobbOu+YLP0ZxHqk2Fk90ml7Ap+hG2ZKBKEv1wUHSkB8XRvPSXn6P0m7/OzH/5uS3fKcvi0m//GWQybZZsZvCTEkSaK2sVDmU9XDtOMIyUphzG78PCSHF0PLmr8wODwWAwGAwGg8FgMBgMBoPBsP8xAmGD4QBQdyrtFjzS1ATDNS1X3VlYiptHMCwEuFZ8HOrHQgjBVNpr+d3x8RShUnz07CKeFZdwrwecNGCfPEF44eJQ2vSFK3lmMy6uJXlyvkjKkUyn3W3jvorYOXJzIOzCapk/fHoBiMuW3jmdGWkMuRyohhvuICTsraKCfjmcTTCTdolULHSJlK6JCQRzmSRHc6ktjppSwHyxOoCroGjsq2tZA7twtnOv7cRuBDurgcKxBHYujX7962vXu+bschFof4yqkWY8YeNHIZaIXbAqoWIi6WDJmmAWKAYRriVxamK0xZo75ZHscAaVQQ9PoBQJR1LZJAYIFRzOJlkrB1T7FFQOY4/62aIlW3ShG+0QtDiMRyoeL5TuLjZXGiqhIuEIKkH8u+32qaYrRCCoRBEXVsuN5TLe9td3qDQa3b78sBi1g7DgxHgKrTVX8mUyrsNKyW8kLcwXfXIJG886WNPdZpFxuaZY3wvD+QOi0+iLExNJ7prL8ZpbpviFh89THlCVM560ybj2vhOzCCE4MpFAayj7IdVAkUs5lKohi4UAzxYdqwHcrGyX5HDQySWdvW7CSIWWu31ffrERKd3zNSKAY1mXFyLFhU1JFglb8GW3TeJHipMTCS6vVXnk2vbO0memk4M0++AziufyXXrW3ytBdztSrkXRj/j2lx2hHCg++Owil1Y7JwAlbLlvEgbqFZCm007j2WpUWDs8Z3qXRtH9cm66kXGtOInsq97Dxa96zw7WNPgxDZXmMxdXgfjdSbvKI2cXS7zq5PiW6hMGg8FgMBgMBoPBYDAYDAaD4cWLeVtoMBwANE3iYK3bRE+2hlOUbnVGtZoFwwch+tIBrdsL6poRQuBYFm+/Y66+FM3H6M6HH+bx4yd21o7afw8dy/IXz682Pi8FiotdApN1/uDJBY7lPN591yyR1qyWQz7y/FKLW+6fn13mkWt53n3X7FCEuO1I2ILKDsRCWsOpyRTzhSqFAUU4ni0a5zRUeotosl3QSwrBWsUn49qUtnEwHk/a2FJQDhSWANeWte2ILeLSg4omPhebXbjifhMLgMeTDn6k8GzJWjkkUJpyEDKetAmVplCNsAWslLcGqXfi7rUdgw5HYRQ7j7mWaBFU2lLw9MJ63+JggEevr3P3bLa92HUIZBNWbQzTlAOFUu2FVQlbdjzmSUd2dZO1BEgESafu3NtZuiUFXForNdz+mtHEbspCwGzaI+VauFLiWpLHb6yTS9jYlgBNx+OlVU1MP8L+Ews0BUezKSAuH/1UU7n7SAGjGT53FaViZ2GoCTWaT6mIvx+2FvsATxXa4liCXMLBqani33zbFE/eyHd1E26HBE5PpkbQwmERO1CnPIdUa/7UARIHC8YSNpWa0/0geHZcbaIuwrpZ2Q8OgYLhjhctw1ttxf/sf/5DZvJxAl3JTfJPv+XnenBo3GifYUgImEw6WwTClVDzR08v8cDhDIezLv6oLVGHwEEZDXvmIO5Q7eIcS9gcH9u4r+b9gAsr5W0XL/oRadfimYUithTktxnvs57dkoD3YmGn735G9Vy0mf3chR1LkHIs1oY0pxhWglm79yQQP89//IVl3nnX7HA2ZDAYDAaDwWAwGAwGg8FgMBgOPEYgbDAcNISgVA1YWPdRxAKvE1MpNBpJZ/VvpDfEQ6K2nCUPlruw1uBHvQePtNa1kpqtO6gBXBf8nZWv/pP3/QRL59Y4PZXk+aXtg5ibubxe5f2fvtT1N/PFgF/63BV+4NUnBna77YYUO/N9UxqSts0tEzZSwNmlYlvB7kRTyeGJpM1k0iXl2sQh2lbnm+0E4BAHw85MZVEajubi/q+B6/kyC5tcmKZTHp4VKwRdWzTEijtxNi0HqibUVGyjT94VNHHgcnOQcDLhMp5wEAjOrRSphIp8NcKSgsmUgxSCxeLGddCPdqxbyeh+274TLEu0KCNXKv7AIriT48kdBcGloKvoXBC7w9YFbxpIOrFA3o90PDbL7sek3n89WyJl7B6tdHz+7ZrovV5iOVEroWzL2FlYoyn4EVrHwt31StBWHFynGEQ4EuYyLpGKj4uINcGsVUKmkg5Hc0mi2vpCrXn6xjqeY+GHitNTmZGKg9vhyg018OnJ9MiSK3aTpCNRWnft1wlHEg35WO9noUY/COCO2QwnJtK4NWHQXNZjLuvx2lsn+MS5Ff7s2UWCHm+yni05M5UeYYsNUgiO5VIU/KDhat4vjpSsdhnfbhYsa+/Fbl9+92FKfsg//9BzW75728/9I46cfazx74t3PchHv//f9rzub/0H7+ZbN41GGb/ML/zy30MDP/odP0Mhc6jrOoYxlmVtgaytSWuBkLAWtK5Za824IwGNjBRjtaSOotJ9za9GRb4aMpG0UVrv6N487klynsV6desE+JFrBR651vu6IrWRwLrbVIModtfsZUKrayV5NvWmSOmWJLVeUVoxnrQ3VrfN9lUtuawb0S5Z2iutSdece3dKvcmFash8ocJE0kVKuJ7vPXFnvRLyV+fXevqtLcWO3nukHCtOjqvhSIFm8OvJ26Xxu5OItFeEgKQt27pHb3c464sIEQuN627Ejeetpj8SttxSMUOKvR88vVolnWGJg3eL+4/k+vq91vHZkQfl5aDBYDAYDAaDwWAwGAwGg8Fg6AsjEDYYDgBSxK6Q9fhjynOYysJq0SdQcH6x1PjtXNYl4VpI2dnPS1MTDEcb62/+bz/SizhYAJUg5Np6hUurZdYqIe+6p71o4N7nzw7sIqwBJSTz974clOaFpTKHsi7VUHUV2w3Ky47mRibUCpUeSmlorePAny1jkWXWs7FkHOFTWqMVnBiPlYX1IKVSsCGTHJzmoOdUytsiEPYjRdqJr4lyMLwjWRcJB70omneBdsIBIQRWbRyYybiNsruR0iyXRlvOtlcGHXIEsSiy7G8cf6tPUUGde+ay2DIW6u5EX6E0OBKCmjOwYwksKWpuvBo/UltEnvU+Wb8OIwWR2r5P1UXGCVviR4og2uoqHIuFA8714MLWiUDBxdUyx3Kp1itVaxTxvcSx4MJqsXHtVaKQO2czQ3PH6h3NUwt50q7FkWwCR+6ucG6UJZi3E71HSpN0tu7vbgu09xtp1+LYWJKJlNsQBzeTsC1ee+skx8cT/NdPdU/YabBP50mGVlxbMm7FjpLDdtfeT+yHebvWeotw6uv+yTeQWV/e8tuTT32Bb3vfO1ibmOH3f/LXu673ve97x7buxP/2l3+Yf/qen6FwqLNI2BKQskWtCItGs1Uk2Hy/EmLrXKBQ9Pnc+ZXGv2+ZSnH8ULb2uw3J2188cWPL9l9/9xzhPuiEf30hFlG+7czEzlYkBC87muVGMeDJG8Udrerj51cZS9g8eKQ3N+hhcnY5fn7eyXPQRNJpW3lj2CQdiw8+szTy7fRC3S36zafGd7yuugN6pGG+6DNf3Fny7nZcz1e5dSIxsEg44cgtz09TKWfguVY2YbFYHH3/WSmHnBjbmkjaM1pwanJ3rtH9Yj4+nY7Pq9a157chd83duCMU/M7vpSpBxNnFIhoYTziUgohzSyWkFOQSNpYQrFdCHjw2xkTK2YXWGgwGg8FgMBgMBoPBYDAYDIZRYwTCBsMBwZZxufZ6XCeTcMgkbM4tlFp+t1QMCPM+ni2Zyrh4jmQ7NYvSG+utuwvX/9sPBiJaxyK1zYGUetN005/nlkucXdw+WK2UJvnFJym/5mXo8lbxXLvdrm9HAb/6n/+k5fPreZ+ELUnYgsqQbcJee2J8JO7BAgjU8CRtQsDJ8TRKx+dssxhimOIIzxb4m45zwpaUQsXRsQRX1ip4luRQziNl2ziWHLpQbju32N1mO2cxeZOp2lx76zmtO/T2w62TKdCCcFhO0EKQdGLhr99s3Q7QZRuDXh2VbSLpwxg7Viohrl1FIMi6Fhq4tO7z2SsF3nJ6glsnUi3CfM8WKKXZdWNLAVNpl3HPvancr8JI4Vqia99uJxDfB8aie85E0uHMbLbrbzxbciiXIOlItIZveOlh/ujJ+S3JJnVunp61/9nJ8FUXcY0nbVbL4VCSofYb2YTV1tFxN9E6Tjj6paaKGN/0A38DJ4zVVJ3m02MrC3zj3383H/j5/9d2vb2Ig+vn9N/+9g/z/X//1zr+7tkr61zaQaJMO84vlTi/VNr+h/uQfDUi7dbc9TWNijTo2DlSit5ccWdTNsmjWT5/Jb+j9pgx1bBbVCPNQilgJm0PVjGkzWWxVAqYTjsDCn1N799vSAG5hL0rwu1R88S1PDNpb4vAV2vN5y+vcW292na59aaEn89dWuX0dJoT4wls82BhMBgMBoPBYDAYDAaDwWAwHGiMQNhgOCCImotws9gr6hK8rYaKq6sVpISZjEfKs+glCNVwF66tukUszO4LhrWGIGqt/qo3/bn599vxseeX8MOIiYTNxMOfA6Dyd9+L/uIXiDRo10FUq2wuTK+Bc1/+Hs5+4/dwpPaZbDonrhT4NUfezctJsVWoJ4iFSdmE0zi+mxfWOhZ5eTUnTN36v03HoHnhVlfSTgjAsmLn1J2KXYOo1lZLIsVonSuroSbhyJY2R1ojkYx7LrmZ2Pkm4Vg7LqXcCa+NQLUdepdsVCMNSbfVUbeZlGMxk3FZKHS2QJpIOlRCRcKWREqzXu3sPLSXIW3XEg0H3Wa6OSU1cySbYCLpYFty6K5+kdL7SoU2jKb4kea3H91wRZxMOURKU/AjVsohfphvuMBpramGmmcXizxwaGzHZY37QguOZJOxA3Mfm9XbdOZuCSPNVIfoUF4nWRvnBkrl2Ef9sBtHcwmm0278j05t3np7a/y12+lzbMnCemdXcUsKJjMeWc/mJ955x8bnQvCnzyxwea1VPJHzLG6ZSHbZomEnrFX9RmUDgMIQStivlkOynoVnWyyO2J1ytxlPuXu27WoYka+E/O/PXeZafuO4vukX/xlO6G8r7AVwgyqv+aX/H5/4zh9t/cH169uKg5vXpYF3/eWv80dv+ub2v9ljDd5eb38zi8WAT11c7/i9JeKkO2gdkgXxmDmTdlgqhYQqdtc8NZnkheXhCrAPCvvs1Bp6QGm2nzzsGgdkorbH7HaCT6g0Oc/GtuJOIuMiSCwdMNFwpOGvzy3z0PExDuUSjc+FENsmFtdZq4ScXSxy66SZ+xr6R9dei9QNBOrvtPfbvMhgMBgMBoPBYDAYDAaD4cWCEQgbDAcErTeXXNSsloItJcU3i+aUghvrVSSQcCWeY5H1bCyrt9B7s7twnWax8LCFw5tfIver3dtORPWXZxf546cWUMBUwuabHjyCZ0lO/9/fI1KahXyFUGkOjyVZqwQsFnxOT6eQQvDJ80s8/PmrnHt6nsWayDKXsDk1k+aJK2t00oredzSH1prHr7Y6bN17JMfdh7O86rZpnC6OLEEEQdSLwHXA0FnYvjT9IESKWJxH7CIaRHqo7sfN7dwsPLSlwBKCMFI4jk01VCMVKfe6X7sZ0Cz7CscSW5xEAaSQTCa7C4QtKXjFibj09Bcur7b9jRQb1+lux3YEsXNwO3EwwETS5eS4Zq0aNIQsmlj8HinN0VyCtGtTv5xGUfK7V+H4bjGcc9R6nOrOnHMZF0toqh00fMPzJ++dSqAQxGWg99N5GBSld3AUD4hlatKRw3Pw3kTYIWGijmMJJtt8/vnLa4wlnC0C4VefGOfMVHqILRwtjS5wQALxSyV/JNdtvhrhh4qxhM1apbdEkv2OLcWeOaVfWinx/k9ebOsye/LJz/a1rjNf+BifoFUg/C0/8e19t+ntj3yoo0B4r9mlPLGhEWkodrkO1zfd9MtB679ff8s4KVfy2PUioLm6vo0wfx8IuAc+RwdkbN2v7MWl4W96prZkXB2jl3PZayKiYbhI0f87oUFRGgptHmxkLXFCa011txozBCqh4jMXV3nHnbN49sZ7lKSzORW+M52euw2GZprf49bf5W65UjSExNeTtY8q1hkMBoPBYDAYDAaDwWAwvFgwAmGD4YBQN7upE0WKQiWk19f1Cij5ipKvWCkGJBxJxrPIVyIyCYuMZyNl76LhRqNq1EXCgo0XvdsJh+svjbVuepHc4/70RBSx/ucfZuU3PkBw/TqB5XDl6N14r38XTM+QTdp8/uo6X33vISAOEI6nXX7nkWs8v1zmaM7jqfkijhR82ZlJyn7IG++a4fRimt/67GUgLsH4pUtrnJxMcmGTe9bpmRQZz+Hp6/lGYMW1BN/5uls5M5vZU+e3zZQDtcWRd6dUQ40UsfhL1VxFh0En8VD98+QuCANjPXdv+7OfYh4WghPjSS6utnd6Wyz6fObiMkpBtYMoPelYRErHzshCECnFjWIsonMtyVjCATQCgdIaIQS2EB3LoAuxcc4cCZaMBcCbj65rCaSIA50AtiWoBCGeHbtER0qzVo1IuzYXOuzftXyVUxOjm/o4lsAP1a70wd1F1ATXGw6Cr71lgjun0yg0T88X2i712PV1Tk2mSDn2UBMFtkMTjweOJbClOFDnQopYZI6I3ZglgqRzsPbhZuDyWoWFPXaK80OF51g96bw3GyzXlzk4EpbRU4001ShkslZqe6UUHOjjM5N1a/P23edG0W8rDs5cv9Sz8y/Nv7t+HQ4danwuVX/jXaftWVJweCzBdMbj0nJ5z873zS5+uZb3uW0qyWIpIIw0fhiRdSVX16vcMpHAaiPus6RojFPWzX6AbkKGk1Y6HPq5rgUwmXRankkEsLpHiSO7mzwwvI05Ftiy9lCgNVGtcEekhpsYXEfsSMU/HJSOn0FdSwzlOW83d8ePNI9dXeehE+NAfJ5un0mzXPLJd8rybKIaKj787CInJ5PcOpnqmti+XygHEV4tqbgfMbShN3oSA2+zfKhr746lcRU2GAwGg8FgMBgMBoPBYNgtjEDYYDgA1AW0zURK9ywObkclUA0xaLWgWCoE2BIm0y4pz669oO39LW1d6Atbg8DN4uF6fGfoYuD6tmpvlr1Hv8DsT/4ol0IfXSw2vr/nySe498//D+U3v52VH/wxjk4lubxa4uh47BLsh5ov1px+p1MOriV46NgY65WQx28UOZR2uLbWWq78pcfH+OKltZbP7jmS5bn5In5Yavn8dbdN88CxMVx7/wUqKoHClmKLM+9OULpVuOuHakcOQJWgs0Nund1wLXWsPsTUu+TiaVtgic7uulprikFI0Q+ZzbhUAsV6NUQQCxJDpQmVphIoxpMOYaX1XGVcC62h6EfxdYxmrepzZa3Ssns3CtXNm+bMdJq0bRFGYEtqJVtr57HWRywBgYJAxf3QkrEgOKq1y4/qTtdx+fmFQpWr+QqWgPGUw1o53LbvloIIy2LobqWxeFk0xMvlQJF0JeVt3EuHhW3FztntGIbbmSsF9x3K8Oj1AvcfylAMItKOhSMltiUY8ywsSyJb7huaxWLA88sljo4lyDh2LCbYRYJIE0R62zFjP5CwJZrYLb5ZdOBaNSHVANoIreO+2eOvGVU6gyXifQBIuxaz6dbkGM/au/uh1lDxw5YxzJKSIzW38aQjkULwxI1YBL9aCZGidwf5HbVt05+wVQjc7u9b/63pqQjBHqJ0nHSyG8e17oA+m3ZRWrNY2lsheMqxSA0kXtk7JcUDh3M8cmWdJ+eLLZ8/9Dv/baD1PfTh3+Jz3/yDjX/3IzLuxqtvm6Is4vtOyrMo9iCEMgzG2aU4Meue2RSlUHHctXj3XdOESjGRdLiwUGg8Kz52cZX5/MZccS7ncf+hg+PMbhgeQxnF+liJawm8TfOind52plIOKwPeR5ZKAbmEzfouCJRtKXA6zAl17dmq68GszUP9UHWtbtRuOzt9/rfk5kpae4cfaaY9e8cC4WiXBc/nV8qMJR2urVdYKgVEfU641iohj1/Lc229ylo5IO3aPHR8jLGkM6IW94fWmsWiz3IpYKUUcHmtghCQ82zedsfMXjfvpqFe4W0Y12M9kVEp4ypsMBgMBoPBYDAYDAaDwbBbGIGwwbDPURr8NvFsMQLXsFDBfN6HvM+xiQSOLRlG6K5ZPDxqoaQAEl/6HLP/8oeQ1cqWzdlhHMBL/9VHcJYWWPp3v8CVtQqXVsu84uQkhWrIXNolXw2xrVi48bbbZ8glLFJPL/Dnzy3hWZK33DOHbQmuLJVIp1y+7N5ZnrqyzoOnpsjagmI15NpaheVNb8//4pkF/Ejxtrtmmcl4JN39NQxbMhZyDcvtt5lyELvuRDsU6qltAlqVQJOwJaHWhCMSBfZ1VexS/M+W3UXLCUcihEPGjQN5WmsiNBaxu6/WinIU4UkLx5Y8WQmYSjkNYaIQsFhz1LSE4IXlEkGPwUVbSOoVqGMRcBwSkk02482nqi5W3ky9LLBCczVfaSy3VAyYTDkN4Vc3lksBOa+fYKZu6xSVcCSCOOgdOym2trfsD19w34lKEPLMYnH7Hw6IEBtC01Bpvv7eOQpV1ThPKc/m2vpWYfhU2kFruFpLqjg6liDr2kix+0Lh/YgjwbYkQaQb4vLN+JEeuK5yPH/obdm2IuohHTfPkZRqYnnPsplJt973XEsQKb1r5aObCZXm2lpr380mbL71oWMtn/3QHz4FwKcvrfGSw1mcEYrdRa2MdTtXzUEOUdmPWNljN+TtiLTm2cX2TuSjYqUcYFuC8aTNannvysYfG0sO1J/2UjzhWJLveOVx/s8j1/jUxY0EOa+YH2h9mdXFln/X+3k/6Q2beeiWCXwpGl8eHktwdn5090lDzKW1KtMZlycXShRKAWjNWiXk4WcW8Dvc5wSQ9ayenCy74dkCz7Za3G1LQdTzfXAQXgwappQjuX06hahVk6Am3jqU8Trck2qpmu2+rCUMB5GmEsXVQlLuzpKESoHicNalvsn6O4f477rx99rmGxUa6knFeodCzaVSwHTaaTwj9UsQqV1JPOr0bNXKzhvRbjtxgmc9GSg+//1syRIS2D8JHoulgKm0w9I+n1tt5pGr6ztaXmlYKPgA+OWAj7+wTNK1QMPJiWT8nC4g49qcmEgOo8nborVmvRrypSvrjbZtfBffAww7o+4OHKrRjlN1N2KoJ5fCHhXKMBgMBoPBYDAYDAaDwWC4adlfyjSDwbCFreYsmiBU3Ggjxhoml1cqSGB2zMO1Ywe9DTFCL29qR+VG2MlLr0alwuy//hFktbL1u+YlqxWcJx5F/t5vE33Ve1guBZxdKHA4l0ShCbUmZVv8yJtPxOXegbfdPs1fn1umGCiqCmY8m3Q2QVlDxnV44NQU9x3O8tTVdWZyCWayHivFrSWsHz67xMNnl5ACTk2nedMdM7z29PTODsuQqAuDXUsQaY0Qw3VbtWSbOsN94NqdHXKbqZcAHRX9uu7sBtu1SYpWK2MhBHbTNSSEJFXr61rVhLddBLe9ioMBCn5A1rURNWGo1ppIK6SQRCoW4La0rsmlavNmpIBr+a3XtxAbQaSEbXUMCC6V/D4FwqJlqEk6EqX1tg7SKXdDFDl6di969uR8kYeOjjGRsBuXchTphkN88/naHDi/vFZhLuMxnfJ2rb2wIW5W6KG7R+8EIcSOHchuFvaphhvYuXioG/VxbyLl4NjxOJhwrdp4bRglgYrnOLYUzGVdbuT97RcyNCH46vsOoYHPX14jVPDEG76Sw7/2dN9revQtX93y78u3v4Tjz36pr3X4Mn6tYUnBkbEESc+ipONqBElLEHrmtcdusF6NWK+WGbPgL56c73m5fDXCsQRp16rLUDtSF1PWXQbrz8rr1ZDqJifWqZTTdS67U/bxrWtonJlO8bqTk0NdZymI+N3PXxnqOnshnsPHpe0R8dlrW+il02uMTT/Utd8sFoMWIXo9ubIhWG5al2hZf+zw79qCUKmGuFkiGu1rWqpNG2sC6Pr69Na92aUc7a5snuvKPqti7McZ0Wo5xNrBa439uE/9UglVS4LjSjkea09OJDk+nmiI8IdNqDRXVstcWatwPV9tNSPYhNLw+Utr3DmbJuVaI2vTzUjdLThSuz9+RBqiKL5OLBkLhs2pMxgMBoPBYDAYDAaDwWDYOSZSZjDscywZvxxtJlK6b0fE5gCGLePg0XY6SwVc3+Ssp7RmteqjgaRtMZZwyPshadfCDxVLxfi71bKPZ0tum85yfCIJCLTWFP2QjGfTXIZ+g25vfTWVIKIURNhCkOtQzlB/+EM9R5xktcL07/4GR77z77BY9FmvBBzOJXnjqUl+97EbOJbg+cU8d83lEEJQDRWfePIGkxmXo+NJJqaSpF2rdjzh1skEkdZcWCwym3E5O1/k3qNZlgpBw0Gz9VjCjfUq+UrQ4mS0l1SiiKVSlUI1IlQazxacmkxjC7krpb+7IYj7X6/4kY6vnyHq7ywJrlXzJttnirbtek8/gVgN3DOb5fxKieIQnHcu1fr/eMIm6ViESrNQjMVYt04kSTntr2fHEriCxrVRCSKeXy5SbjN4NYtRS0HEdNplsbaNiaTNXCaBZ8lGsKsfyr7CswWyD0FnyVdtnYcPKo4lsUQsFPnAI9f4+vvmmMu4aA1SCrKehSVjMVY3F7VyGKG03lUBZF20IaDlnHi2wA/7czEbJvvV2XjYdNtLaxdc8/rFDxVPXM+jiZ3uNielDKvnOpbgyHiSahghhcBzduaiaOgfP9KN8SrnbQhHLCkaSTV6m2SZnbPPLgBiUXwpCEm7zfP1rdhS8rceOMJrTk7wHz5+nsuvfjv82s/2nCJY3/Plu1/W8vlHfvDf8W3ve0dfqYY/9O2/AMBU2mV2NkuJ2JX2aM5jYb3CsK4u15Ycznn4oWrrnG+I6adX16+7INJDd/NWGqbT8RxzUIfXbuzWTEYADx3N8vRiETQUekhAO5R1mcu4PHJtd93Ze2KPHnkrgeJ63ueF5fJItzOXcblR6C3p5GjO4+p6lTedmqAaKT7R5Mo+TB48PDaS9Q6ClKD2UcLeIKQcSXGHruc3KxdWytx3OEtiBPPay6tlHr2ab0kEbioWsIVIac4tl1gq+rzqlnFyiX6ShF+cqJooeD88ptadiyPAlhuJQQaDwWAwGAwGg8FgMBgMhsEwAmGDYZ8jRfwydEOfIki4FhnPotBDUEIA637ApdUy9x3KoRRcy5eZL/rMZlzm0gmkFIQ9vQHW+CrqOSAe+opHrq7x+PU1xjyHQjUk5VnkPIekY8XimFwyds1r2OnErVZaxyViRfxi//pahS9eXSPn2axXQyaTDi89Nh6XNWyKMka/9evIcqmn9gGIYoGjl57j2vgJlkoBGa/ES47msEUsRj2/XKIaKu47PIZrSV5/5wxKx+IRTRzUjs+N5onrReYLPl+4uMajl9eZzbo8diUut3zbTJqzC0Xmch4TaRfHEiQdi+NTKY5OZ7iSr5CwJRnXJmHvnUioHIQtwflqqHlqvsA9s1mGEc0tB7Gzr2XFgvFK0FvkIelIKoHqS1CXcETP698O14qFj5VAUVYbQfm4/KEYafnibtiy1gcj3bUNjtUo+NsHsTj8yfn1LQGiUGkytZLAni27iqem0w5+qKmEEauVkNVN7m7dhPFBpPGblM3PrxR7cpAGWCz6TKcdDmcSqJrFV4+LtiV21+7vGJYDRaLWd0dJwu6/PH2/eJbg9beMIwTcOpnker7MtfXylvM3lXK6OmqtV0LKfoHbptJIMfp2N6OJz4lVCyRXQ03SlWilsaQg0ptSVxqlqTvbyHUfFQVrVZ+1ep8XW38vmr4YTzjYu3xM6jiWwGo5lw07umbf8U3fdWNjqSBs3xlcS8ROfvtMIRxEipQlqO9j2pZ836tONBzKHUs03PZ3Qsq1kFKQdM3j2H5gvTandqTY4pA/mXJih3QFa5UAe6j3/f7nVrYUuCMc9z97cZn5gs+JiSR3zcXzv/VKgBQwkYoTQwQ0VBpRFPHg0SwXViqEXgJ7myoezVSSmbafXzt5J4cvPL3taKOBsu1BJl5PfRibTjvMpF2emi8yl3GYyA7uXH/f0Rxr5YBIaRbyVS4sl7ltJs3dh13ylQDHkviRZrXkM5P1SDoWri25sV5hMuUy5lmkPYGOFI5jcdW4VbcwSq1P3dESaCR0bmY/VgXZTCmIyHoWLz+aI+1a/NHTSx1/e/t0ioQtGU9aOFKQciSlmyRZbadowB9m5ugQSDoW3/bgERwb5nsUFR90HCkJ+zgP+/ESDZUmk7DjOUOkGnOIFyvNTwu2FBT8aKgC4aWiz9nFIpdWe59fNBNp3TFZOjYxiFivhBzKeS/KKh5aU3sm249pa3Gb6rcxKeJ3cEYsbDAYDAaDwWAwGAwGg8HQPyYibTAcAGzJJtdLwXTWo1CNhbCypmOpF5XUOv7PtgRPL6w3hCxPzufRWjfWM1/wWSr6RBoOZTzmMrEDbiUMCSKNa0lsS5CvRqyUfIpBRMKWOJboS6gZKViuBWhTwNX1CrmEjWdLyn5EwrZil75IsVD0+ctzK6xVQr7joaOkHKv2Mj/enmsLEpFkOu3yF88t8MqTE0xnEsSOyBo5P08/Yb9IQ/XyFfzMMQAStsXD51ZwpOSeQxlu0Zpn5/N8+Nl5Hjo+zve/6TT//mPnKEaa9aUypyaTnFuJXYjumUtT9CNmsi73n5rGswTzX7pKLmlz+nCWE1MptGs3AkgRcD4fcD6/0mhPwpbcPZvm3rkMWdfuy1V4ueyjNIx5No7Vn3BEa02gFOuV9s5dT87nubcmMN8pfrTRmRN23Je2605Kby9vtQS4jmxENQZ157TkRvli15IEkWppczORZtuo5SiDLKGCpNP9erQExCY7/bdEaTg1mea5peKW7wp+3I8TzvZ9rRxGA58PDTy1kB9o2amk2xAH7x27EWYb/T42D0VWrAxrG5RbKgVMpRwirVsvDQ2VMMKPNIHSvLBS4tREatdFwtB6KZf9upswXUSfg55DjSVlwy17O7KuzV7lhwRRu8oE3f69834tBD0mJ+0ucb/d6Nyi5XMazrI7347GD9VIhZ6G/tksDgZYriXBSBELxJXSTKcditWoraP9qJlIOYSRRohackOtzVYt4c+2RGP+WK9QoWvKmM7zSk2+EuJYgsWaSO3iSpmLK61Om1nPplCNq4HcOpViqeBzLV9hzLW471CKK3/wMU6+85U9CXs18Fs/+7ttv//QP/553v3j38nk/KW266qfpYrl8iPf+0uNzy0pmE3azBcDFosBaVeykPeJqoO5x770+BhfvLTV0fPswtZ5EdB4Nqtzba3KE9c25jDvfODwQO24qdmlaVqnZJSdbn4y5cTPKW1Wb1uCsj+4cDBSmuqm+2TJj3jXnVNEWvMnzyxvWWY67eBZkHJsbp1Ic89sjt95/PrAwvRRnB4pNpyd6wSR3kioGiE38j63TCQ4vzKY0HDYnF0q8RW3TyMErFWKvO22CR67XuT6i0Qs3Av7UQRYDlSjIoljCcaT9tAd0A8qodJ8/IVlxhI2M2kX15YEkUZpzb2Hs30JcKuh4vnFIk/dKOxo5l30Iz59cZVXnRzHjzRlP6Lgh1RDxeXVCpVQMZ60QcSJgpGChUKVtGujiedax8YSVEPF1bUqjh3PvcIoFhcrrSn5ERrI1SomZT2bY+MJkvu4Qsh+cgvuFaWbn8mMWNhgMBgMBoPBYDAYDAaDoR+MQNhgOCDYEqKm+GKz25FC88T1jeDzWCIO3rdz/dxM/TfXC1WuFzo7A1tio/zyoMG7qbTDUq28a11sMZ12eOR6nkeuFfAj3RBmCuD55QICgWcLUo5dC3hKjs+mSHs2GdcGHYsfHn5hkbVKyDH6G9g0sB5qKjWBx7nlEuNJh9/60nU++vwS3/yyo7zm1mmevL7GZy6u8NYzs/z428/wXz9xkaVy0BLgOJr1Yjeck+PoMKISwtvunYNaiXJRcx3uRiVUPHq9wEzapZpUaA05z2alErJaCTi7WOJQ1uMlh7M4ckNUtFz2+Z3Hb+BHsdflV9w5za3jqc77XYtiR1pTjSIKfsRiFxGbBh67vs6pyRRJe3i3jkoYn/OkGwt7/VC1DVBIIUg68fFrdmOtO/uGKg46lX2FBBw7dqHuRMqRLeei3LRORwoqNaFguQdFdKQ3BMXt2OtYRaTBswd3vEw5OzvfcUBwJ2sYbOFjY0kcafUkLB9lUCxSumv/OIhUthHECWgbJB9L2PhR/HkQKfb+6tigGmpSjqQcqKFKui0Ekymncc/rxoWVElaTw6EQMJP2yLo3ZzncYQltDyK2FOQSDra1f64Bw/YovZFIENacx3dO92sg6ciNDEBiAexqOSDoIh7LJmxCpagGCqXh6HgChWa5FDCRdNDEDtbrlYBcwqFcE7X89bnFbZ3289Ww8eejV9c3vhAgamP6hd/5CCe+7q3NX23ZWw38yk9viIOznkV+kwPj//vxX8K6colv/MnvYvPdXAO/8BV/n+fOPNTyuSUElabS40VfgRCIhMsb7pnj6YurzOd7q4QCMJ+vMpF0Wpxod8KfPnKNsaTDVNbljsM55iu77zppRDTDpZf7+6C88sQE1/MV/EixVg4o1eYoRT8i5bYXndUrExT8kKcW8jw1X9yRa7UYwVwt5VjcN5du+UwDf/nC6tC3tZlA6ZbnvtHQ39zmP33yInfNpHmqlnhwajK5xy0aLd2e0Yfx+90miDSr5ZCJpMNaJejpme9mc6ndvM+RiucczePjK0+ON/Y7fuejsaVoJLYX/ZBCNSJSGj9SrJaDhni3G70eyfVKyJ89s9jx+9VyyCfOrXT8/snrhZ62U2xKCnnk6jq3Tae4/0hu35zzultwpA/++4m6WFgQJ/lbRihsMBgMBoPBYDAYDAaDwdAVIxA2GA4Im1/eNotKrE1vQUfhvmNJgW3JgYOgUkCxTelFP9IcyXlcWa+yUAwaDobTaacRkKyGmmoYb3cq5bBU8slXA/LViJQjmcx4HMolWKsU4PY70Z/6654DBSIMmXvpvSw5Ca6uVygHEblELMYq+BG//JlLfMUdM7zqxBgp16IYREymXL73tSf546fm+aumIELSkvhBxMJKhRcWi9x3bIyPn19pcWV82/2Htm1TqDQfeq5z6dgLqxWeuFHgracnmU653Cj6fPjsUqPctQY++PQiDx3LcWIsyZhnk3AksuYgF2rF9XyVgh/2HRS4sl7mzFS2Y4nGQVB6w8VTilgMvzkO1BzITdYca7XWsZB3k7pTEfeZpCMoB63fWTJ2Bd5care+TkH9WutvBz1b7kKwOd6OEBo/jEW3SUd2LY1cF1AP2jYp4JnFfIuI1rNlS5nmQGnSHUQK8ToEiS4OmdE2nelGsXchTzNTKYewi+4m6Uj8mkNQ0pWNPjhsgig+D8MrR7+3WDWnnm6SpuqmssFTqdgNXUrBtLUhdo20Qor946pUChRJZ7jXshCCuXSCmbRHwQ+5stbZsS5Qeot7aRCphjBC0M3903CQCJVGcfMJRG5WDuc8xj2XvB9QjRRZ1+ZGoTqUUvWi6U9Zu9cKYnd+IWoOokF/94/8pueAK6sV1qsBl9ZiN+DJpEOgNPlqyNGxRNdxaSAyGS7+6afJ/uefYeIPf6flKw2cf/c3svxt78NdKOFHGkcKHjic4VMX13nwaJYvXs035s5i9jA/+Pd/ddtNvvr0JK5j8czVddpNUj0p+NTT8z3di+tzltmsRzVSQxMH11krB6yVA6bSHrg2E0mbfDXq6HA7bPab1s6Mgu15w6kpckmXmaxH2Y94Zj7PXbkEN9YrJBwLpTWOhL9xzxxLxYCPvRC7CS+VAg5lXf76wjrjCZuvvXeOUhDxa1+8NlA7RnF+9roP3ij43DqZ5Nxyefsf7xJPNbmS3+xTg1DpvpJXt68jtD9YKQc9JwX2WezppqDoRzxxPc+19UojkXQm4zKbcVksBtzoI3mnmVxieEk8o+DsYglbSu49nN3TdtQr0u1B4YuRo4n3K8S4ChsMBoPBYDAYDAaDwWAwdMMIhA2GA8LWmLEg7UkurJSZ7+L8Oyz8KHYBGU/YrA4gQM56dlvh8nrtszumU9w9K/jw2Vhwm+hQiq/oR6xXwxbR7XI54JbJ2IWo+re/leQjX0CUewv4VU+dwT55K+ULcVBVa81qZSPAEESapxcKrJWrJB2L09MZIqWwLclX3XuIt90+zYefmefRy2v83J8/y2o55I23TzOZdpG25OUnx8lXIiI06WySpUo0FIFXwY/4g6cWmEra+EpvcVbRwGcvr/PZy7G723Ta4WVHchzJuSyXA9arg4nIq6Gm4Aeknf4cLYWAp+fXmckkmEq5TULcVpSOy3TaMhYFtztWdfFewpF0E/I2B58FkHAl1aZyoO3WOSjlIHYu9oYsLmzGsQTVTee507ZsCxwpqQSqb2GqJcFXCldKCn64pW9ZQvBHT3cWsAMcyrpc3+RWdnwswaU2IqSvvGOazMTW/hQpxXyxyvKAAb9SEOHK9uPIZhFo2VcN8XjjsyGeRz/SLYLknWDJDTe3esB8N4Nfnm1RCro7HsbHMWIsYSME5KsRgdpafjuMNEeyyX0leg0jRcIRKA3+gK7bm5FCIBGMey7paZuzS4WekzOu5atcqwXM75rJjMTJD/ZGoLXfHeFGzY21CofGEniO1XD1FyJ2v48ijW2JfXVtvFhxpGDCcxFCMOa5jc9vGbdRWlOJQkIVu+CJ2hV6bqXEXNYj5di8sFTk1GSKUhA1rmWA01NpLq2W0EDCiZfUgEssnhpl0lHzfXXo4uAm8t/7w+S/94e3fC6BaWDqRI5Qg0QgheZ1t+QQCF5zMsezC2Wu5f2e72+eY5HXgqOHx1hvc4uqKs0r7pjFFpAv+Hz+wgrHJ5JMph1WywGTqfjcFv2QszeKKODiymjFg589t0wuabNeDnn3Q8e4sgOX134IleaWiQSFasTiyNxvex+7KoFicb1C0rVIJ3bfMX88aePXysT3S6g040mbtXI4VAnjy09MkEvWxxtB0rV5ybEJAA7nEgAoBT/y5iSTKZeSH/KJ88sECi6sVJhKOXzdvXNM1/r1mCe5fTrFs4ulbbc9k3Y4NblRheZIzhvinsVYAtJOnHhbR2g4MZ7oeR2ajV6miV3N21WvmEzaDYfS5mXL28xld4IfaSaTNstt2tMLghbj+KEQKk2yS8JmJ5TWQxcURipOCO4V15JUu2V9HkRehFPgx6/lt3y2UPBZ6FIRoRcOwlT5RqHK0VKCsaS9JeFTaU0YadYqAaHS5BI2aXcjVNP8jNAv+8ktuHm8HmVTVNO+GrGwwWAwGAwGg8FgMBgMBkMrRiBsMBwQtr5E1ayUA27sgji4mc3uhr3i9FBGO1Kad94+SSlQTCRsXFtQ8qMWt9dKqJhOOywVg8YxWauEPHJ1DQD10ocIZw5hX7mIjLoHkrSXoPLt30OgFK88OcmTN/L81iPXGU/YjCVscgmLmZRLxrMQIt52FCkQEqU1UghSrg1ScvvhHDlX8ntfvE4uEwtJ8kWfR6+sc2IiyfHpDIsdBK/9MJWyUTougejZgqVy2FOwb7EY8KHnlpACvvOhow1h9iCcXylzYhwmEm7PbmeWhFDDtXyFa/lYjDKTdplNe9hSNtZjW4JiELFaDnCsVjHOZiqBQorOwY5KGIsytdZoxMgcYuuM2oxFEpcJ36y5aASQdfM40eS1VIugtxMWxkemaXkNoVJ87IXuAuDtyDQ5Clsidl/sR+irtWax1Ls42G5T5v25xSIPHB4j3CSQFrQX/0YKyqrVqXqYbn71bXq23CL07gdLbHUj1kJz62SKc8vbCz92wkTSZqUHsUPd1VoKQaR1QyC9+bjHQuNmicfeE6j4Puf2cM8aBEdKjo0lubg6iPBs/xynYVCtjdFKs6Nr4qCiNFxdrTCZdij5Ea4lmczE97xqGBEpSaKLO3sr++s6upkIlO54dKUQpGxn0+8jTk2mcaVECMGZ6QxSwKRtM55wEWiqkcaTktOTGaQQVIJRyyX2J0IInMaB3TjCQseJRkfHPM7fKHSc652cSnH6UJZPP7eItERsHdeFcqTxbMlYxuGeI1nOzhe4VBMBX1garRg441l88ytPIERrAls8RwXHltwymeRGIdi2skIzzYKbTugO65tOOyMTCOs+hqOlos///uuLvP7MFK+8bWok7enGSjlkKuUMJBCuJ7/aUgxtznjv4Sxz2W5C2fjgSklD2J5yLd5y2xSHsx7rlZCj2cSWPvHGWydI2JK1SshrT45TDhR/8OT8lueXh47mOF1LvB0VoYJjYwmeWdxwzUXA6cneBcLNyJrb+rNLZa6ut4oNPVtyrYP4/viYx6W14b9LWSmH3DaVGlggfHapzFzG5cYOhZPNXForc8t4avsfNiHF6GYWQR8JrBNJl3x1/7g9d0MpzXTaaRnnl9qMszfbHd/MQLuzUgr4yHOLWFJw11yGM9NppIj7xmNX11v6iC0FY0mbSGkyrs1yOWAu4zKdcZnP+6xXQmxL8MoTk1hSINsIYOtuwZHau762eX6yF+2oi4UF8ftIywiFDQaDwWAwGAwGg8FgMLzIMQJhg+GAsPU9pmAm4/Fcc2CtA2MJm6RtkXAk1VCzXK7ih70Xa5yuiVdCpVEDBj97dc2shgpLEDvcVuNtV0LVIgxYLAbkEnZbkauQguK//8+Mve+96JUVRNQ+MKc8j9Vv/k7WH3g5n7uwzOtvm+HMTIYgUtwo+Dx0LMdds7G7W/3YLxQDfu/xG/ytB440iS8100mbiXGP9ZrwtVoNsW2Li4tFzkwm+eAnnme9GPBNb78Tnd0IzGmtWwTDniU4MZFkrRKSdi0yrqQSarKeRdKWhEpxdd3n0lqVjBu7ePYq2KtzcjzRKDG9Ey6ulllyfG6dSPfUj663KRm5UPRZKMaBz3tms2jgkWvrje+FgMy0jSXaC6DbCQ43s/H96EMStmwf7BzWlquRxo8UmRG6qy0VK3zy/ErX3wgBx8Y8sp6NJQWr5YDLTcH1mbTD2SahjWsJVsphR+FFpDWqJk+oi5hLN66T+cG/h7e0SHDrGdR/eH/t+/j/zaOX1lsDr7aEE+PJgccrqLlCi7jUeL8uzN3Yie7UsQRWvQZ9E0pDzh39lE62EWK3w68d95VywHgyblc5UGRci0JTP/AjzdVChaRtkfVsbCH3lWNqtwSEnZBx7IGE4pfXS1jNx2fzodJxooJSuhYQ3RA2ttuN+ucCuGUi1XGsHSX1MbqX8fxmZbkYj1+VQBEqjWsLglCTTvR+LSzlfSKtSDoWUsTOw0LEAtZS9SZz3dtFPFtyOJsgVArX6k2s7WxyrnfkxnUlRewLmagN1/tntNtfCCEYrx2kY9Np3nT3HKuFKtmMR6nk89lz8Tzllpk0a6HmFWemWevR8T3jWnzy6UXyAwr3BmUq4/LKW7uLXwt+yGcuX+tJOOdZgiNjCV5YHnxOf9tUcuBlt2OQvr2Pbv99M6ymn55KNari9NuCt98xS6Q0i/kKpTZJkQnb4tUnxvGsODFHJNtXPjmIwsXJlBsn7y5vdUTvtj/eAI66vbOzIxkNeQI6SNEGz94fc7ODNDS0q7SVcuN3OYHSWCKuCHRQimhMphxEI9G4c6OHmVTbLwflWEJ8XT9+Lc/TNwpYcmt1KIiP5VLt2aDuin5uucy52v1eCnjDqWkQIhYB1/Zf1L6DLa8KdpV6T9lPp0UTJ6aExO9iLLlxrAwGg8FgMBgMBoPBYDAYXkwYgbDBcECwJaBaX/ZOpFzSrqTYwRnVFnD3XK5FnJt2YDLpotFcL8RBNAEgBNUwQimNY8mG4281VCwWAxwpSLlWwympX+pCMYFgpQ8n0cViwGTKYXmTALCbu+Nabor8L/4ah37557E/9hGQFiLw0VKCZRFNzrDyHd9H6bVvAuDB4xOslEImkjY/9pbbsC1B2q25BgcRCwWf51cqXFqtMJ6MS0o/cmmV3/zoc9xycpKTs2nWKgFPzxfJeDae65BK2uQSDr/9oScaQYsr19eZEJIX5gvcd3ycfClAac1LbpkglbCZTDpIAcdy7V1zXcvitqkkl9aqDZFdP+JggHvm0gM5ZLWjGEREKFwpty09ul0p+eeXi1Q2rURrWC77aGLhVO1Tmv1IjmaTWHJ3RW1aa8pRxPWaILy+axNJh+mUF4s4xUap+Lgfbd3/QcSH+Uq4SSCsG23YqbBSKcXD51ZQWseOfh3WpzXMF6rcPZvCDxU5TzYEwlLECQkLxY3rtRxqErZiLGETKYVrWy3Xc74a8tR8AYCj73odVhg0zrAN2EtL8PoH0cDFf//fmHrlyxtBs064lkXWdXYs7lQaSoHasetvM4OKjQVxULEfx62dMJmKE0OaKVYjErbsHvDTEEUKr1bOuXm8cWyBE4mWfVgth6wSci1f5WguQdKRuNLadaGwZwusWqBVax0L10d0qIUQnBhP9pTg00x+hELPvQ7ilgOFYwkipbGk2LV+vt8o+RGlmmFg2uvdPbieMFWs7r2Q52Yg41ocH0tSlzk4UuBYEiHaO9AbRocQsBZqRMKlEGq0Y/OWe+bwNeRDhRCw3kkcfP063/IT346lWs/Zu4CfffePcOHW+0a/AzWsLvc0rTWLZZ8/f26557FvLus1xEL7EaO76Z/DOY+7DuXYydGzpKg9F7X2eVFzgnWkbMxtNPCtLz3C7z5+Y2RO0ruBZwsqQUTBjxjzbC7TuyOwa0m+7PQ4jiW5vF7lsev9zcu6kfUs3nTrONSqtUDtKVY0Pc3q+FuBbpz2+Ls4SWKlEiJ0U1pkG41mO4f7QqD43OX8lt/1g7nfDY94btc6h4/UwTi2JT/a8o6mHRPJ0SUwb0fvtgf7h1DpgUXVd8xm2yaMa/ZOGNw8NO33sxFpiCLjKmwwGAwGg8FgMBgMBoPhxYkRCBsMBwQhYpFwFDV/JnjdqWk+9PR822VOTqQo+WFNkOfj2XFQMFSKjGszkXR4fqlNSfo2waBA6YHFwXXqDhhTKYf1athzEFwQv7ht/vl2Yj01PsHVH/px7O/5IWY+9zBqeYkyFpW77sO/456Wt8BX1iv82bNLvPL4OElHcmYmLvmsgacWSgSRYr7mgPt19x0mUppf++R5ri0VmRhPMHZsjJVqyOGcx7hrUdWaMUtyZDLJW197G5q4VOB6yefJK7FDbrHs8/T1WBS5kK/yba8/2bOLxauO5/jUpfXtf7iJO6aTQxMH19GabcXBAEeySTxLcnl9q7MTQNq12gaflkoBE0mHfHVr35vJuLv+Mr8uHDy3vPW6WSj6TCY9VKSJw+xxh7UkDUfIeheuu2W6lsCyRC1AHIeIg6hzwMiRGyFmP1Q8cmWVGwWfhC1585mZHYmlV8oBf3VuFYC5jMupqSSejIPM+WpUEyFDyrHwI5gvBniW5NnFjWOhNG37WCXUVMKQlCMptjmXx7/i1cimQGmn03ryH303he/4e/D13zbwfg5CNVQkXUm5QzJGP9jWRhlqS4JSkHAkYU38GwertpaqdiwxVCfj7RDQU0C4M1vbulIK2yZ81LlSGx/OTKVx5OjdhBO2bIwh5UCRcNo7OY0CV1pDLx990KnPCVSkh3a9HWSUjhM3tv/dfg/FHzwKtaoZriWBmkNbGI8Rht1l831ACNFwC+52j/jKn/h7zFx9YWO5Td//o//305Qtjx/5vl8aWlu7ITsmXWk+eXmVL1zJt/2+HQlbtK2isq8Y4FIRB1hWvNNReDxp8+CxCUYlrda6fRsdKfmy26b44DMLlIKop2e6/UY11CQSgrGEzWIp5NiYB2wcyflN86zXnRznnrkMSUeyUvaZSrn4Co6MpYYqEBaI2hxTNH3W+idiozpK828EsRNtPYm7pVds6iLtesy9cxnunM7UKktotI7fv/SDPaJkLUHsTKzZ/n1OHTPL2Tu6vZ9K2JKsZ7FQDPZUYPlimgaPJx1unRrEZX74HCRRcDuaXYWliN83SyMWNhgMBoPBYDAYDAaDwXCTYwTCBsMBoi4Sbo6l2FIylrBYq2wV5T3fRsS4QZXxhD2yEurdWCoFpJxYyNhL4CkWidoUqhFBrbG9tjlMZ6m8891dXYvLfsTX3zfHz338AilHcstEkve+/DgC+Pr7D/P49TyzGQ+t4e65DB9/5gbZtMfRl53gbbdNUg0V60tVnj+3yNOX13jm0goPnJ7mpXfOsVD0qdQcSB88McYnX4jLIvs1ccNczuNtd892FA60Iz+gyHdsBM4uTy8UuP9Qq0t1O0KlGUu4pF2LZ/pwzfQsyVJxq4Du9GQKz9pdl9FqFOFHiour7R3bOrUkUhtlYl1LYEnREHT5zXUhAdAka2LRduSrEeNRxFM38lxY2WhHJVQ8/MISrz01hd2HSFhrzZ8/u8BC0W8Rp9wo+KyUY3H2ZgHj6cm4JPWXrsYC9ztnUrz9H7yHxOpivE4h+KPv/UmW735Zy3IzaZecJ9EIrq1XKdcGstu+8lWNYHg36kGozC//F5a+/Osgk+l5P4dB2VcNYfdOqNSE4ZHSjeumLhb3bEE1jAXiSScOnodRXIZ2N8XBo2S5FJCwZVfx8XNLRbKezdFcAkuMxiHctWolfps+80PVOAe7wURy/wiE91sstOwrbBmL6m6Wvt8v6+WAxX3SP15MuJbg1GQaue+uip1R9CPWqxGWFLHgR4OQAkfWxWd138r9JY4Y5A7wtp/7Rw1xcLtdqX+WjKr81Pu/i3/yvv8xaPN6ptM8/7H5Ql/i4Pq6gj0s594LB06wtcd9Ppdw9uy6m065fOtLjzb+nXBE28on+5l6EvNqOWhUNenEwxdWuWMmhSNtEpbF49fzfPrSGrmky4lxj4urvTsQd2MnR3CnRz/pWFiO3PSZoNzHeQ0ijTuC5MTEEJ6lRsWtEykQ8XN7fQyrX5f151ClNJGOk7OUVviRaryb020GvoaAsuHcHav1LQlpa2uliPo6NLVtKBpVTZzazTve/rD2ujuyi0L49ukMAsFicW13GvMiRwh44MhYX+8Nh96G2p+agykK7oSqXVPGVdhgMBgMBoPBYDAYDAbDzY4RCBsMBwxbxi8u64EIIeDVJ6e4mq/gB1FDcNbsWLMRaGh9jSuEYDrtbfx707Z0y9+6+zrppv/3wmLJJ21JVrsId5sp+BG2Jch6Nhoo+CGO1bp/nZqgtSbrWRSqUdsWXlotcyjn8eDRHI9cy/Po9QJ+GOHaFhnP5lUnJ4CNwNDHvnSFhXyFkzNHeORanlzC5tp6BWFLzhwb49St0yzdWON//tETnJjL8JJ7jxFEii9eXOUlx3IIIfjipTiQcmo2wwvrPlUhOT7m9vTC/+Jqexfe7XhmocTrbxkbuovwC8tFbhlP93T2bWlx71yOx2+0OiAvlQKm0w7rlbARiBxP2pSD9udMiO7OccNmrepzZa3SfR97aM5WQXB7ko5sdLjmIKoAPvT0fNt25Kshf/3CEg+dmCDt9n57/9CzS20/n027XYOCAN/yfV++pXS30Jp3/+KPAvCFb/xeVt/1twDNxdUqpUAym/Ea4uBv/r6v6Ekc3Fg38TV4/D1v59Iff6Lj70pBxKX1UluHPdcSnJnK9rjFVsqB2lbc2gvtgu2bP/MjhWtJItXjyCoEJ8aTLR9JQc0BE1KuhWPJjut69MoaflO0OYgUuYRNGCmEEI3y1JtLGevG/1o5nEsghUDojZLKEAfWbxSr2x7DfDVkpewznUp0/d2g+JHeknCjdF3EtTshz4PsljgKmq8tzxZIIfaliORmCojvF/aTC/J02kVp3daRX2uB3fSxqol29jN1we/l9Sqf70GIemoyycnxOCluywjV75DV5dhodGMe5/s+f/bY32O5+HTTpixee8c/Y27irX1uFI6efay2ju4IIB1UoFAYedJR2MEN/IWuyZztKQWKuYw79Pn8XmONJh/oQHBxpczp6Uxf8/dOvJhnFr3eS/7X565iSfieV5zgSxdWCTVcW6sMWRA22M0h6UjSrsVisbd3JKNsTRDFCYsQJzgO43Y3yO1e7dKNNu3Yfe9jNQo5264i1zZ4QlINehvDx5M26NhVGuLKSzsZ/1OORRCpOFlo00OdpvXdWqHaeTuPXt94n7OX07j6O8GDhCUEk2mHlVLQMTF8M3fMZMgmhp/wvx03qyi4HcZV2GAwGAwGg8FgMBgMBsPNjhEIGwwHEFl7URnryQS2bXFiIk0UKS4ut3c33W8czcbDz+wQxF9aKyqR4tJamcU2peuLfkigIJewtwgGs57N3XNZ3v/R55meSDVegC+WAo7kNlxd6pIxP4youA6vvn8S15YUQzg3X6BYCrh0dZ2Vos/tZ2a5ulQk5VpcvFHg6Mwa73jFSe48nOXp+SJPXlnjnQ8cBq2pAjPpWDC5UAzxo9ht2LMlOVcihEBrjUCwUA7JV0PyXQI13VirhFxaqzKdsocqaCn4EUKC7kPHdd+hHJUw3o+UbRNb2cFaJY8UMFY7V5t1lGMJm+mUiyu3Ou70Qz2ArLXe8sJfA0I3/V3Ezj3bHbJhif2aBXGOJVpcvi2re2AmXw352NkFvvyuQ9sKqLXWPNfGzVkAt0wkOL9S4fRUcutytT/f+753dBX3auDBD/xnvnDhAvd/8k+w1Ua/fSMbQtNBjpqMtl4DdXfm+vEbVTC5Uiszr3XsBD6qQFmkoKIVQvQWdA0jTdbtHDTMJRxySbfj98/MF/CrG+PjejUi41mUBhBopl1r4xrddIKXqpWG09t2JOydXefbEarW8qhQE4E7ksouCFMFcOdMhuWyz3IpYDrtUqjWkyRi4WGvQeMds1n5vcs4ViwYtKXAsQSh0j2Xnt5tol06J/tJNDtq1qvDFUINSsqJ511OhznG5j6ZciUlf3/20zoRmvd/8lLPv39hucwLu/AsMZG0uf9Qmo889kNcW/10Q5BUn7toIh5+5l8B/4q52d/Adcd7Wu+bf+Gfxuvpoy0/+7++nx/6/v/VxxL9E3ZIDuv1HutYgvsO1UTMOp7zZD1rR0P3VMoh5zW9DhItf3Sk2/f1qWcQRJRundjy+WaaXTqPTSSZTHWex2w3JFpy61y811E07VikxlpfjYVKNZ5VNq9r89wh/rdo2aHNbqLtkqya+cKlFabTHjMZF8eSpN0NsWK87Ob1tV9TpBUjnj4NBSkFuYSNIB5bHUsixaZztv3DVwvbVbSpowCl4E+fW6CkY8fd6YyFrh1VjabgK9Ku3HKuG+3anC0nWj+SQhApGE9aWHLjbOlO66BeZUT2JQ6eTjlkGtdxvB1Xyq3HQvefAKfZeC7dqZtw0pWEke6YLNGNlGtxKOttnIvNzRAb14No/Lv2ldh6pcTr0BuCx7owtu+WtSYa9oPVh+Jwtdz63FT0I6bTDuXa/MOSxO+lqlEjCbcbWuuhu9CP7on45sKzJS87NsFEykEIQRAprqyVObdU7Cr6HkvYnJrevepJLyZRcCfqrsIQC4UtGb+DNxgMBoPBYDAYDAaDwWA4yBiBsMFwABEiFtNYOg5KbIgHBbNZl9VSLDR9sSCEJGlL5jIel9e2uuvWY+/2pje6d8ymURF81699ntVSyFe85EjjZfinL67wVfccih0wiV+MLxWq/PTvfp6v/NP/TubyeZZvuZ3nv+kf4FgSx7EYy7gs5SssXVvl4kKRiYzLO195gpeenuboTJo/fmaJSIOd9FioxAEAKWC9Ggsxrq63ljSVAmbSLgtFf2iC3keuFRjzbO47nCZpWwMF6dpxfqXIrRPpngKzWsf/1QWEzQK4u2dyXFgtslJuLyA8nEm0dfXrl5WKz/V87yVkZ9KdhZV1RuEsEtQCsa4lkBLmC9u3WWl4dj7PHXNZml3En53Pk/FsxlMuV1bLXFkrUahGvOnUOI/fKCKIRfRFP+LcSnwdnVsucyjrojTMN0rda771+758W3Fv/bp58K//qOWznVJfryYOro4nbbTWlAKF0jCddshXwo4B0mFcSvXSy64liLTuWZDQL44cTmnfhCPJJXfPcahb8Gwm6VINVVt3580Mx6usM53EDrvlVCaEwEIwnfSYSrhIKZlKbrj6Byri0lp5X7roDgvPloCmGm6EoHdNFG0wbGIy5TLmbX+/N+yclXLIH3/he1nOfykWc3WZRN2Y/ybmZn8b191eHHPiqS/03RZXbb0f3TKdqrVJs1IMWG2TgNgPosPU9Z65NB8/t7rt8lnXYsxrVX0eH/M6/LoPRjU1cC1ef+dM34st7+A43z2TQXQ60AMQasW1hd6fFYbBWiXk+aUi40l7iyhwtzg1mSJpj/41oVK6ZS640+ocQN8PGs8txc/ghTBkPOVwdmkjOUIAAxh8N7i4WuWeuTRSbLiljyXsrklyKcfqW2h5KJvcIp4fxXPJTmZmQkC19pw2CBnX7pi4s9eMeQ6eJaj2+by2U8f0UGmKzQ7E1ZpouBeB8M423X6dN9HUfTrtoGtJmvX3h/UCM+3MCLphCUHKtZjNeMxmPSZTbst8x7Ekt0ymOTmRYqFQ5dxSkYWi37IOATxwZLynSmM7wYiCOxNpiKINV2EBDOGVpMFgMBgMBoPBYDAYDAbDrmMEwgbDAUYKcGQsgFU1N+F0wiHl2Zxf3EFE64CSaKr7nPVsSn5E1BStEMBE0sGRgnsO5/jdz1/hCxdXWC3VAnWWiOvJAZ88v8o7bp8hVXNvuvG7v8eNH/xBvrlpe3PnX+Bdf/mnaOCXv/pHCE/cxYmZDGPTOb7h1AzP3CjgWw7//H9/lvd+xT1YmQTRpuBRt0CZ0nCj4Hf+wYCsVUMur1a5azY1sOvNZvLViIWiz3TK3ZGYOVSak+NpgqVCa9ALmMt6W8TBSmsqUUTCsvoKmvTTxIxn9eRkOcqQjR9piCDnudx/yOXsUpFSl7Kkzy0WqUaKO2azhEpzYbnIC23Kn9YDVJ4lWCoFLGxyrIo0XM/7ZD2LozkPz5aoSCGV6ml/u7ml7fR4Xb6yxOXI4a7ZNLmEROo4WlMNVYvr8ijxI03CFiNzFLU2rOIHxpZweDzBdkd8mOeo5Ecordtek0JIMq7Vk0A4NWKBymZ3vzq7XUZUCNFwi68Tas3zS6WWe9jNRMqRLc50NyP14LEgFutsdpu0aloXrWmcZ6vmOGjYPTxL4jmSI9nE0CoB7BXtxrT96urn+9dZWP4ittebwuLG/Ddz/Nj/3fZ3/VYm6OSpeXQu1xAs3nXU5oNfutrHWrciO7Qq59mcnkyyWglZ2kZ4pLUmInbKlOhtK0UYRoNni1pSy81JJVQkd+Et4SiO4E7m49VIk/Ms1muVenpZ00za4dbJuNqKIE7ErY8bE0mbmbTTajS8zZyuFEQwIkP9nR5vu+aCbDVlAXaqctL4vMnJd/O/+3Hf3+647SWh0tw2leGJ+fzubniAQzKetLFl7NRdGcE7ppuFUOmOCRrdkjcE8Xsjx5Jx5R7P5uh4quWa6YQQgtlsgtlsgnwl4PxykUurZZSGMzOZkSX6GlFwf7S4Cut65YLdf3dgMBgMBoPBYDAYDAaDwTAoRiBsMBxwxBaR8P4OoowSR1qcmkxRDiMmPJcIzVolaDjFFqohQaR59a2TXFur8D8/cYGXHB9rLO9JwYnxBGuVkBt5n2vrFU5PZzj/vvdR+MM/6io6+M7f/2k+9fIv58mv/k6qkWJ93eeWnEtQ9XnV7TNcurrK7EyWsbFk4+W7LWWrg6+uv5jXLWKxRrnlppqk9XKYodJEkWr8pv5yerNoIBYoaYSIA3x3zCSH49TUxLV8hVIQcnIsNbCm0bEElhRxmcwgIpewGUvEwaxkTU2ltSbUmkBFXFmr4Eea26cz/QmEe7xGXEvgWXJb0cZuEirdVRxc5+JKmYsrvZUJjzRUuogd8tWIfC1g/rX/+Bt6a2iNUcVLzvkWkVZ88WockH3oWJasG/eR3TQgrTsMDn+9wxFPKhWPHb1cHpt/Uj/n/RJpUFohRXu3r0qP+3WtUOFoJoEckUWPbUuCNgIFOaJz2o36Fm8UK1RDRaFLmdmDhNWkcXdr43s8ht3cKlhLwHIl4PLaxhicciyO5Dz8SHN1rUy7IdcScM9czoiER0zWi+cWAGOeS6AirAGcR/fbbLscRpxbaU0GSrv703Xx47/xNdz6+rHtf9ggwPd9XLe7w3P9nOx07hFUfKbTHn/+2LWhzCk63YMFgueX43Hi2JiHa0lCpXEtwfmVcksiXwR8/NwaEI+nc1mP0xOeEQrX6JSQNvgKt574lCMBQc6jISQdBXt5RkftUjlKdvIK5NJqhVsnk/hRpeszUTMlP2IyaZNyJKUgwrUE9fy3k+OJLedxFPeMTiLdYRMqRRCx48TFOglHtn0e8OxN6RQC1JAqHg0bWwqqUYQzgB3wjs9Zm8u05EdMp10ipQgijW0JbBknspYDRdmPqEYhScdYn3Zjc9WxZvKVkKm0w1IxQAqYzXik3Xg+eWo6jWfvfM6VTTjcd2Sc22ezXFsrc3wi3fOynZ5g2+2REQXvjLqrcJw4UXMWPri3T4PBYDAYDAaDwWAwGAwvEoxA2GC4CaiLhEMVv6iUUnJyKsml5fKuCuX2GikESdtulEW1EUwlPaQQXF2v1JyBbArVkGcXC3zPW07joJnMelT9iJVSQMqzKQdxYfvHrxcY/+u/oPCHfwR0DtbWX8S/6rN/wspb3sUfXokD9ynP4ovnlokU/M03neGL1wpwrQDAdMYl4Ugur1TarnMy7XBsPMmjV9aHe5BqRErz5rtmYmfaIbJWCfGzqm+hTcKRhFEczAoizeFMgsOZBBC7BJfDiPlKJRZOA4ubSi/OFyscziR7CmorrVE9RuWyCZulYm/i4FEHBCwJNwpVbhR2t9zxZjL55T3dfv3MNXfdhC3IOHsjgqoGqhFoHaYbqme3D5z3iwLOL5ZwLHCkZCbntRXcHsolWF8o7Hh7ACm3vaO31pq8H1DtUf1Y8qOhBy7rLj9Sgt/h+O6246ZtCR65toZnCdKu1VMCwH4n6Uj8SBGp+PrUEDsuDvmes5vYUqCJE23auZTL2uflMOLCemWLyLsURJxt4+TeTKShGkbY+7SU9kHEsyW2FPihIqidtLmMi2dtPAbv19LlfSP2//XlSMHKk59k+nQSJ9HfXHF5+R9z6NB/6PobJSVWH2KyTgKZzzy/+3Ody2ut87ukLZlK2WQ8CyngMxc3nglyns2tEwkjRmliNw5FOVBMpBykAEYoEN5LXGt3OtUoRqten+86cW65zG1TSc4u9ZZgWQwUF1arzGUctKZxj4H2+1f0I7Lexv2m/g7BsyS+amQKt52HNuUJtyRCVMIIt6d72DAUqcM7a5VAkbBb+1o8V2wnGt79xL1OWDKu1CNFPF8b1Ex8BPpgSoGiFGzvDLzT66Rte14E96KsZzOVchlL2tw+k2Ui6SJ7cAceFM+2uGUq09cync7s/rh6bk408Xv4kFgkbMsXx/VgMBgMBoPBYDAYDAaD4WBiBMIGw02CqL2M1DUnYSklJ6ZSXFkucZMb9XVFa02+uiHwvHM2w2curQKas8tlHjqW5eRMiseul6iEGieM+BdvO0Pdh+rxL/++nrZTD1u946e/j//z2u8lk/VwT57h7S87QSKboBBqMpUKU5NpLpQijk8k+eKltbbrcm1JpPTIxMEAn3x+mYdumcAbgbPcQrHKoUyy598L0eooqrTiwmoZIeJAai+slkMOZ3rzDisEAYvbiH4FMJlyehYH7xajEgcftBhGkEhzYjyBHylSjkXKlYzAO64nFLFgRNbcucMhZWUMQxzcTBBBEClWigFTWW/L92dmMjw7BIHwbMZlMuki2yQJBFpxaa19UkQ7QqWpRAoPjSXkjl0SbQkQnyPVZWipBHpXS4gvleJgfjXSVMshni0ablRlP6Lcg9t71rMo+tGeJwXVhUXNYvlenfj2E0LAaiWgEoQU/YiMa7FQc5IXgGsLjuaSpF07FolEiidvFHYcgE/YsUhouVQmm3DIejZRZAL7g+BYgtOT6UbCUlx9QCEQ2CNyJd9zDkBHCZXmV3/07/C2f3O8r+WU0oTR1W1/92v/7H/xbf/6vX2t+yP3vrWv3w9C2CE5oltFi3KoKBd8brS5NS+WAvLVkPGEeZ2zm2hgeR9VFTnIjGLGPow5UL8Vdp6aL/LUfG+/VbpDdQ5v8KodSmnYlVva8G8wB3J+SJwItlOU1iQdOXByqRCibbJaL/RTKaXx0zZO1aLpNwftXUInpKDx/mcu43JkLMlcLoEtdt8edv/I4g29UncVliIWC0vjKmwwGAwGg8FgMBgMBoNhn2EiSgbDTYwQgqOTKc4vdnesu5kpR2Ej4CYFXF+v4kiBr2ClHPLcYplqqJhOOywt5Pn1z7zAX37uAj/yNQ9wcmqriK4bApBa85JX3EelHFCwPRaU4IiCpApZWC3z2PllzhwdI6psFdDefThLECkurZSZyXislcNhHIK2ZBMWSuuRlCVdKgVMp9yeHRC1hqQrKfsKP4q4mq8M5KB5vVCl5EdEWtMUy+LUZBoh2HA17mF/bRnvRz+IEYbGLAnze+wcXEcLidB7k3VQP3W/8XO/B6sVpIjdIV91PLcn7WlG6TjY61pxKddhGKXWnYmV1kMTq65XQibSzhYX4WH03qmUw3Syc7lzW0jSrtWz8B/g/Ep8/zozlca1dpbQECqQPTps9mhyPBQ2O6hVQ0013Bh/HAlpz45dUCNNyY9wrFjk6NmCSqAQQrR1tM0l7Jaxqe5Kt3m8CpUianxX/y1blm1817yt2odpx0JphiaS3y0WS1XKYUTGsUl7FrYUXFwuU2y6DzWLtOtuyC8sD39uVQkV52rrrQuS047FbdNphqBH2bdYQuBZkkCpoYncw0i39HIhBI64SZyCO6DbjORKa95+ZnLbUvdaa/787MrI2rZ5u/1OI3SkY7XFdhw61OKu2Utb/uCt39ZfYwagU7/eSXe/su4bgbBh6BysO3grw3imvbJW5WjO48r67jx3xUlHcmBH6l53eSfHpnj2LLzn3VtXctc9pH/jdwZf8QEkVHByIsmFld5cpjtRDhSTKWdggXA9UWEiabPS5zujcqCw5cZ9SQBjP/Uv8J58FJVKc+N9/wjueykAd01nG891mxNamp/3lspVYg/VPWCIg9ZY0uG+wzmynrPjxNSd0pz6fJDH5Rcj8Xuh+O+WiN/ljdBs2mAwGAwGg8FgMBgMBoOhZ0xEyWC4idA0BaC1BrHhLNynGc5NgdaaG/kqh7Ieri2ZSDo8dnmNJ6/lGcsmOD2VpBIoruV9ZlI2n33sCotrFQrlgOurZVI/9c8G2u7p+XMsP/ganrqeJ1Wp8KnnrjOe8VgpVpnNJTg+nWah2Fr+8f6juYZjsATOLhR3uvsdeetd07z81BSh0kMXB9d5ZrHIqckUGdfuSWindXy+ikFYE7v1H8hcKbcX9F5YLREqTabmltyLG2fKtVmr9BfkGmUM6Xq+wnxx+5Khg7JdAMyzJC85kiXtSC79xH/k5I/9wMja0o7mANnv/sOfbXyuNKRqosT9EnTxI92ThqkXmoPGdRH9TvAcyaGcN7JyqIVqxHgiwrWsmjvVZnTfzmzDxrN7c+tyreG5QXfDloJzK91FKIGKXdKbidumyNcWHU9undK7ltyyXCc6jZ+9cijjkbQsolHdVEaIIBbOr1dCyO91a7ZSDCIeubbO/Ydyuypc3y1sKZhMekwmPbTW+CpCa4FGcy1fableHSmw27hU21IwmXKoGyn6SpHznJEm7hwUehUf7daRynjxXGz9qk9izEL0eD8SQuC6d/X02195/4d47/veES/X4Tf1keqfvudnelrnZh68ZZxswq2ta5Noqs1WE47k0tomQZmA+cLgcztnv0x89oi0a5Hx7NrJHH4VCSEEsxmXlXJAMIysrz4IlWY8afd8Dx8mlUAx5oHWteO5WaHWOMybjnn9n5v/bCymW5IYqhGMJextn5+6TSs2z9Om0g7ZxM4TQRxLknYExWDw817wI8YT9rbPJ/XDNKhbaDmIcC25kQjbaTt6sOoYxVc9AH6HceqpJyg+eBf81M+RfPs7m7YFl9cqHBtLNPa/vn9PzBf4zKU1TozHydJKa2whSLkWBT9Ca3jjqQkqQUTOcwDattmStedXDWyX/LdZaSkYOOlKCljYwbg9bEKl+eN//69I/d/f4u2JFCkpqGjNRytlrr35HXztv/4PbZeLNOilZU58y7sQUevBOPnD3wNA/nVvgZ//xcbn3d4XWHt4P9rp6OxagqNjSY6MJRlLOh2eYfeGNvmYRix8wDCuwgaDwWAwGAwGg8FgMBj2E0YgbDDcRLS8Z2x665hLOiwXX3zlUI+MJ5A1d8X5os9fPbfE73z2MnceyvBVx7KkXJtreZ+sZ7G8UuT6cgnXtrjr5ASea1F99rmBtnvos3/FcyfuI1HxsSKfO49k+aunFwHIl0PuPDXNtdJGIObeI1mevLbe+Peo9T+3TKdHJnzzLNkIzJ5fKXHLeJKk43RdxpaCcs3517Ekc1mXq0N0baoLElf7EPz243BaZ5Tv+Q9nEywU/a4BoYQtyXg2oVJ9Cwq6tX0iafN19x7CsyRSwmMveyUwCinGVpr3N3Rc+OOP4F0LyNfGs+mUw32H0iNuRX+MKiEjjPSO121BTRw8+Jk7lPNYLweU2ojOqpHi+eUSYwmbY7nUlu8jrYkGGHtOTiRx5HDqJ5cDhWvFTrzdKAVqIFF2wpH4YW8uqELAUwvr27ZlvzOesJnLJA6cc3Ad29qV2tw7phopEpYFaCJ1MAQCUsT3eKDmch0nJjX3FUtuiPGFEHjWxuPpLePpWsKbQGuNFKIhUFF11VitGoLYRhxl2IZdEitMJOM54QsfXWPydAIn0duGg3LEyVv+Zc/b+ZX3f4hvfd87kR2uFA386Hf8DIXMoZ7X2cyRqQzXGiKx7feh4Cv+4KmFgbbVCWdY2UgHlImkw5jnjmz9lpDMpBL4oWI12l2hbr4a7Vni27V8hWoUNRxKh8VkyhnqOpOO5IPPLA9tfZs5PZXk+aXBXWKfXypTqEbcPbt1PryZxWKAIwXBAPOoa/kqCUeSsrvfAwMFbp99qqs4uIYG+Cf/kF+d1xRuu7fndT/dJRn6mcXW777q7hmO51qrL2ng0WtrPW+vGUvAnTPtq88oFFIILCHQNRfQ5ucvpWNh+yDVjjbTz+mYTjsEkcaPFFrDWNKmWKrwhy+/i+9MZyGdwWuaB31dKoP69MN88A33cOb3/pLs9EzL+jLPP83k+97bsR0ayD78F5Te9gbSH/74tu3by3yVQcSWUsBkyuXERIpD2cTIkmcHoVOygBELH2yMq7DBYDAYDAaDwWAwGAyG/YARCBsMNxFCgGvFpdFVrKeIHTZd60UlEHYdyReurvHBZxeoRorFgk810own4hLtuYTDBx+5wV0nxpnNeGRcTSGd4OShHI++sMSddx7m41fyfMN99xE880zf21945RupVAKk1qzfuM7C5Su8ZHYab+YIh47PUhYWtl8hVLHTaNazcW2LcABR6iA8enGdt9wzw7A0abYUjCVsEJCvhCzW+tpUyuHDT8+zUgx4251zHBpLNIQ9K8UqfqRYKFQ5nEswmfawROyCNOyAdL9MphxWB3DTHJXbjBTwxI31bQNAlVBRCYfraPSuO6co+hHeJgHd9R/4Jxz6Tz81XJGw7aI3tV8Df/jtP8byy9/AdMrhfuVy36xDJYJ8NWQ63V18vheEKg4kS7G9CLUflG5XPL4/2ol6G/Sw8hMTSe4/MobWUNkUGI+0JuPaaKAaRtg1Qa/Smnw5dmcdtP2ulEMr89qPe1rZVySdrY7DoiZ61Dr+UwjdCPpVAoVjCYTS246xUjA8V8IOqxlL2ASRHoqQoRMnJ9KEB1jkXPQPxvzomYVC4+9Hcgkmkk58ndXc8+pueFLQk0B91CSdWJpZCVStTXrLd9uVCpCiyWZr0xggO3z+YmYnR0IAdv2QSoGqdSJZE2e3Xaap7HikexOqXFqtALD4XIXqeoTlCOQ2Qtewqli5EEBvBsINfvX9fwrA1/7TbyS9toQAAsfjAz/5ARYqmsIOxH/7gd12td1vmCvfMFKGcHn1c3vab1dz8VOf2FYcDBtixq/9uR/iV97/oZG0pd0taEf3uy4n5uJKmWJtzvzA4TGCKOKJ6wUeOJQj0vFc5kZhSInMfexEJVAUmt4VZRT82Wvu5T2pDJ7Ymvzp1j778kSKj33tmzn1Z5/H9bzG993EwS2fLy9SfO83kP6V32x8VwpDwqaSFnEVs73rwf1sOetZ3DqZ5vBYEmefJgj2sj+bfzOoA7lhb6i7Cgvq743M44zBYDAYDAaDwWAwGAyG3cEIhA2GmwwpQDZV1qyG7MuX3+UwxN9UKztSuqfy5I13p42yknAkmyDpxKVmP/jMAh8/twLAXMbFtSWzGRvPlrz7oWNcWyxSDSJStkCjuHcuy9ml2NXr8GSK//gbn+VtLznCyf/wszz+O7/T977Nv/Q1ZPNVPvjwWWyZ5FAqjRNVefpTn2by2N9gIuNyY73CvUdzPHujwCfPrXDbTJoLy6WRB/un0i5X10q49lbR2yBIEZf4XWoj6l0qBUxnPa6uVvipDz1DyY944NgYq+WA55tcg37gzaeZyiS4Xqi0Xc+osSWMJ52Ga/BKOdhOs9SWUb3UVxomUg4LIxT5+2GEUxsmhBBIAe88M8lyJSLtSD7wyFW0hjtnUzgCvvjg25h5xwUe+tBvbq04THuHm07Uf/vRX/1zLtSEQ5tJO5JXHM/GfVYIEjYk7NGLgx0rbn+/2v1QQdIRDEuFn3QlYajY6SU7kXbodkZefmKi87ciXlIpjZSSpNt+CimAhNP63VTWYirrojUkPYvFgt9+rO9wuDKuhdXGQVij246ZjZLD7drX53VaDhSOVRMEE6+3EqrGdtu55ta/kyK+/0pBy3hrCViuBFzeXG6+RyZTDn7dykzUt6nIeFbLfiutWauEWFIwnXYayRvD5MRY4kCLg20JK3tQwn2nXF2vcHW9dbxMORaOJchXQ26ZSJFxba6sl5lOe7hSonsUcFr1qZUAa8BEh5QjWxISNl8mrfOPg9t/9hs7OZJKw+tvHR94+UBpHj7fm5vj3/hX/5s//Jffxqfef53X/9ARnJTsKBIOq4ornyvwuvds72DYid/9tx/Y8llKHWxxMMCV9Sq5hM2hjM2LUi67W7v8Ijy0o2AP9YMD8cJymdumUpxdKg28DtFH59nRc2TPx1aTdJrm0zVVYdt3Au/7jp43X2965volCoeOA3GisNKanGfjR5qlko8Qguo2pVDGPJu1auu8TA95ntApJ0VKCNRG+x5pcih+frmIH6nhVv3YtKqP/ub/5PGP/CnZ6Rm+6gd+lIkjRxvfbe4fP/e17+CHk2mS21RYSUrJG7wkP/U338Df+ZNPAzD3/d8Wr7PXdj72pZZ/3shXtyQe7sek3WbSrsXdh3LMZryhJZ2OgkGFvsZd+GCiid3dBbGjsGWEwgaDwWAwGAwGg8FgMBhGjBEIGww3OZbccLQcRdn7QVmrBEMRg+Y8m1smUoSh5kKxwm89cq1FsHWjVv43X90IYhyeTPHWe2ZI2JKsa5HzbF57Msu9c/fz+St5HhhzeOriCqvF/txYNRAJia0itIp47SFN4JcZP/4SKvkCt4/NcOXCAqk7j1IJNU9dzVOtBZmWiv7IxMGOJbCl5ORUkne99AgQu9B4ttw2SLcdni1Zq3QWV+VSLq+7Y4ZXnJ7i488s8PmLqy3fn5hIcttsBqUVKwO49u6UrGehNSMRzg2TiaTbUSCcdqyG09F23DObbejq0RsOSl+6VmiIT8cSFq+/ZYxKpLGE4NOX1lmuCeg+eXEdyw/4/PkVXv+1384Xv+wb+Pp/8S2Ml9daglAa+Ku/9694w3+Jy4F3inPUl/nT7/5xrncQBwMcG/OGImjvhYQjUUoTKk0QxU6XCaHxI92zK2fSkVSGMOBaElxLUvaHs+/dy5EL5rKJbdcxuEORQAg4Np7GQXZ3M96EHxFb42/CtuDR6+t9t+T+Q7l2q+tIENVFv/3tudJQDRVWzXE4VBpbwjOLhR31DyFocRHbjkhpFosBriXIuDbLOxxrLRk7ik6m3NhFTQgmEg4IcfDEwjdRELYURFA7tS8sbwiaCn6IZ1kkHYu5jNcQ/kohapUMBKFS2FIimsXsGiI0riWQEqJII6Ug6DIWxgkC/V3fhhcfx+97BQDl5ZC/+ukr3P+3p5m+PQEaLFeitSasalSgeeZPVrj2RXjde4bbhtuPjvH0tfzAy+8XAcdT80VWyi4vO5JpzOk922rc77WGYhARjdxWXLNaiXh2oUS7q79+uGwpOD2VZDwxhNdQu3W72cPbWsLuLv4Tjf9tQz+Ze5iy5zAcV1Qh9tucSLR9nrJELI51pMSP1MBi7q/5ye/m4h99Ai00EoHSesPtXyf55KXuc/ZjOY/7D6dj53ri4/8nzyy3rfyxk7lsPQlq836eXyk2BMBTKQdBnPCs6W/e3TMCKuUy//ptD3KlsE6p6UL94J/+PnNS8oZv+A6+/of/1ZZh6FUXzuEmUj1tJiUl765sPGcnnnuq76aW//svkvy73we0Hx/2tHJFl20nbMkds1mOjiWR+3xgG5YLsBELHzw08bv6kPj6qrsKGwwGg8FgMBgMBoPBYDAMGyMQNhhuciwBIYJc0mF5n4sg++W2qRSeZaMVjGccfvvx623dHDdzPe9TmUmR8SQnJtIUgwilBY4lKIeKr3rFSb7yoRN4tuSW3/4tzr/nb9eNijtS3+p//dofY/2ZixRlkiMnT1J1XRKW4DNnV1hYB8hzdv4sb7z/MB/54hXuv3WKU6dmWC4FrPQgmHYkzOUSXO4ipqwzlXYJleJvvvQIM2OJlhLRGkjasQhjJ044adfqSbjp2pI33jnDxaUySzXh9X1Hc3zjy4+TTTgslau7GlgSxMdnueTvi1LsnUg6seujFcVlTtGxs1EQxSXbXSu2C6+bB51bLrHe5Lp0fCxJuuYqGmmNEKIlGFr/e/Nna5WQUGmqoUIADx7N8tfnVynXgrOplEuk4S+fuAHAo3/3F7e0O+1a3Hd6il95/4f45u/7CmzVPqiqgYd/8pe5PnGs63EYteYw6cQB8UjF4vnNVEKNLQWeIxoiOVVzPLelRMq4xLrWGt0h+D4IthzeugASjrX9j7oSCwOvr5axa870m68f1xYE4YbXly0FmYSNFLFQQACZhLWnAsJQ6b5c3XZKpCFpC2wJi6XqzoVaAy7uR5pSEJFwZNt+Xmc8aWNLScmPWhzCsp6FZ0uWirFYYrE2ll9cLXOR2I3z5HiS8YQLxGPOvncM1Dd/9LUaaqphyHo1bJTFfuBwriG4Cai7YbfvE36kod4NVCwY3jxvcCyBJQUCvWvJHIb9Rb/X+vt+70ne/zV3U1mL+Mx/u4GXszjyYJrEmEUUaFYvVJl/soxlO3z3bz8y9PauViNecmIc15Z85oXloa9/N7me9yn5qvGg0pwsADCRdIaWhOdZkpRr1eY9UKiGeLbk4fPrXQV7hUKBZ/78t8kvXOOhd38nb3357aScnVW42e+3l50iYCjJZoOQ3PF88eZgp4kA/cw1dzJf0juc09bL3QeRwpY7SAWMIoTY2O+6OFhrzY1i0LY/2wJsS+BZFnfOplrmELYUvPW2CZyas2Z9N7WGqaRLNQwHqrDjR5qVss9Uym0c91BtJFJMp+PKQuVA4dnxRh0pCZUe+JpMu1aLKFkDS9eu8f1vfIDVNidfA9eV4v//G/+DZz/+YX7iTz7Z+C6/uMCbEymsPjro/a7HR//s93nj1/xtoP/8OPW/fgn1Xd9Lp4V3KqYfNq4luH0my/GJFNYBUVqO4ggasfDBQ+k4Odq4ChsMBoPBYDAYDAaDwWAYBUYgbDDc5AgRuw+MJR2yCZvFfF2cVA/+dA8CSSFaAiFxWfimyMYgaFrEqoOQciyStk2kNLYr+b3HbmBLwcnxBELEL1brgYpIaQp+RNGPODaWwLUE8wWfj76wyve+KsGNQoWTE0mu533umklxPV9FChhPOGRf8xomvuu7WP4f/6OjSLi+J//vdX+b1TvuwQtCPvP5S2Qvr/HON5wh51m8/KUnsGS8/MpCno8/dg0/VFxdKnLy2DhTaQfbEpxbbF/GdC7rMpP1ODtf5PJqhVunU2Q8m7PzhS1inMm0w1TaxQ8Vrzo1w3TOA9hSTnG1EuJacen5cqAo9uGMY0vBWNLu6rw7nozPT929WSnNmbk0Sy/4HMp5vPqOGeYrIZZTZb4mWtoNsl4c9F7s0yF6txDEgtVAbRJa1QRZAtEQBtd1hnX97S0Tqdi1NIpI2taGS6qolY3vcNlt/rj+u5RrESjNG09N8pHnl/FDxSeeXgDi9TVrxDKeRaEacfeRLHMTKdZr4rNf/8UPAvCuf/M9TF47D2gix+M3fvIDkMnw0LEsD9bGBN20/brrlNZwYtzrq392o90xiJRu6ygroOHIFypN6NcWjnTD1WWzC7eole+thmrH4vNqqLcVc/aD3GF0SSnNhaVaWfaw/fkotbms1je5jCecF1+Uq34tpx2HM1MOS2W/IdbshiC+hw9LJF8JFbmETcqxkEJQ8mPBsCMFSkPJDwkijWspEo5kIumQcW1CrVgq+lTD7oWeL6yWuVATC6cdi9NT6Zbv+3FuHiW2FbsgP79c2Oum7BGDC4D8SGPJ+FwKYnGwH+mRVUHYryRdSQdN9a6jtSbvhxT8zhUdRs1E0uYdt08CsFIO+cw2TpEQi4R/4/u+grWr56muR5z7y9ZlTj70Zn7gZ/8nz9fvOwOSciRKx/f6mZTDpYUCCTfB2EyaIFSkXavvOca+6+2icypjOYxwa47CKdciny/wt15zJ6HfesNOpNP8yZcu4IcRlVDhWpKEIwFRSyhU5KsR1XJrx/ejiAcOp7ma93lmofU55s9/4cd47qO/3/LZk3/6AX4VGJua45c+8sUd7bbBMEp2Osb3M+3e2ZgyvBEpVBp7B/rwh46PUQoinrxewLXiBEyAMc9G1t7RZDzJm26d2DLubk6gqyd+pxKSR2/0XzGkG1fWK1xZ30i4TtWevbOe1fJ+I1JxO6pETKacgQXCx3IJbNl6YF9/z0vaioM386WL5/iP3/NNfPcv/BoAT338w9zR5/YDrXnh4Y/yNd/8Xop9LqsBHYY8tdDZdX83Ey+3Yzxp8/ITk3g76ci7zLDcg7thxMIHi82uwlIYsbDBYDAYDAaDwWAwGAyGnWMEwgbDiwApQNXKSUspKPqKjdfB270Wbv3eEgKB4IWVIgU/Yixhs1bpXZDgyLhkZNod/IW9awnOTKUJVSxY/uKVNWbSNjPprUNaLmGzXgkpBYrFUrBFZPCJC6sgNPPFgL86t8pcxuXnH77AO89Mk0pITk+lOfov/jnpr/5qLnzlu5BabXmBr6Tk8//pVzl56CTBQpGl1RJvfuAoMpfk0Svr3DGX4fmljYC51pJX3X+UQ5MpLq37KNvGEoLziyUmUw7LTU7CtoS7Dme5tFLh8asbQZm6kPjeI1mevJZHabhlKkXKtXjmeh4pBN/0mhM4Vnd3Lj/SjSBY0pE9O/8lndhFshOy5h7k2RLPliwWAyKt+dQLKwCcOZzl81fi/XnjreO7WkKv3p5BkSJ21qoHNev/zvtRzWUo3hmBJlK1UuwCXCt2bO70Vr++ZOzyOVjwsS6+c6XVlxBvc4ueWSgxk3H46AurvORwhpcfHeM7X36Ukh/xyGwKx5YkXKtWAjZ2zZVofvdzV/gHbz2zZVQRAH/4R2hikaoQ8N1K19yYIp5Z3BqqnEg6CAHLpWBo4uBO+FEs6tXEgt9mdydbClQb4Vsn8a8mFoN2E/baliDsUUxXDdQWMfYgSAFhpHB2ECytBIpswkJrCCK9RRzdazvEroRBO7NeDRnznD3Zdj1RYyrpkquVWK8L4l1LEnuwxsdGIpASHr+RZyxh14KDYsdHbrNguxREOJZgMulyYjxFEGqOTXoUKyHlMHaWTVs2iZxNNYrIV3u75xeDiEevbwg6xhI2x3K9lUMeFbYluJ6v9CTONnRGCkFEnMDwYnUMrgY7TwIZFgrNpbWdiWh3SvN9ejrV+/j6TbUkovlzz/D4n/w6TirHg1/xXtKzs0NrW1gJeGG+QMK1+FSHRLybmea5yN/9sldy49K59r8rFnnzmWnuf/Wb+Of/5QP4UUShh/mX1pD3oy3VTf77Nz5EWOl8vNeWbvD1LznC//nS1S3f+ZGuJaXG6283dS76EWPets07uDTbjRq2UAkVYwkbARzKujx0NMdkMq5gcKNY5a8vrLY8HWxo9QABAABJREFU37QTx9Wno53k9RlP8tbTk1vWUU90lkI0RK/N662nU2dci6wrN0SlXZ53m2fG9dNuW92Fl/XvEnZdzL+1Hc2fCTSW3N652x9QBBtOTuGHmlsm0lSCiNPTWf7q+QXGEh5PzRe5Zy7DY9cLvO7keH/PdrvwnqAcKDQQRK3t6qU6VS9sXs2PvffrWdK9H+fPPfwXfHft79O33Ea/T3MSyExObvu7TmjH7fr9fhAtTiQd7jmUYzzVva37jb14Kj7YYmHdvrGi8b+bjtj8YkMsbNUEw/vhujMYDAaDwWAwGAwGg8FwsDACYYPhRUDze8NYMLoDsZ2A5ZLP0VyChB0PIc8uFih3cJPcTKA002lnR05zd8xkCRUorTi/2jnwnHYtijUh01jC5tM1NzNbwpFc7CScdCVhpDm7VCblSKSAO6bTPHA0y3/51CUurVR4z0uOMH7fvaReeJ4/fvI6mS99iuwnPgZv+3L0gw9hCcG9wAuLRRbXK2gEycnYNfGBYzk2h+FsS5LJJXlqvsipmQyPXlkn6UjuO5oj7VlEKi7LvloOcCzJY1c6u7U8fjVP0pFMZVwur8TikLfcOcPpucy24uDNVALFTNppBLDy1ZCEbeFagmIQgQbHlthStIiY26E0LeWMXUuy3nTOM0mHUjnuM1fzPsdyByOQ41iC5VLIc0tlbp1MIhF87nKetWrIsTGPu6aztI1YaCg3bKj2X/hlc3Dh/GqF8zWhx0JN3J2Qkhv5ChPZzWqMuiBa8Pffcht2D4FnAFlThW92tpYCxpMOEljcpp8Nk7rIzZJbxbi2jB1c+qFaK0trSVETgALErshBpBpOVfH6BUrrONAv6u7JG0cW2LEjsdJwdaXCZMYhmxzseku6FinPph6Y6+R43g3X3ntB4eW1MjoXn4sxz9mTK1IIgSs6hfdF0+/iP/tJxBmEINLMF6ucWyjwO5+/yr/9m/eS9iy0VlgiFs+7lkBKucfy7v4QteCpUpqFYpX5feocf9CwpSCItNGuGYbG7K138Jb3/ZutXwyhjyVcixvrQ04KOIB9/+9/1Rs7ioObefSTf8lP/9B38iM/+0s9rfczl9e3JLb97+96S1dxcDPtRMJPL5RY2mYO+OoTYxzJJnvaxk44gKd6nzLcI6n0xtxotRI2XK/ryYULO0gGrXP7dJq7ZjI7Wkc1iria79ezNeaumQxSbP9c1WuSb/w80+N5SCSh0l/iydUPfJDCcokTk2nuOTSO1or7D41RrIa89uQ4SyWfM1PJRkJmr/Q617ClYCrlkHLjqjYLfcz5tttE1rNYKw/epzY/az/84Q/1tfyq1nz0N/8nb/6Gv8Opl76ca1HIMbv3ZJwqmr/1D/5p49+dPefbc+1Hf6KPX+8utiW473CO4xOpHVfL2Qv2+h6zWSy81+2B+PlCA5FSBLV3IHHifZyAn6+0f/ecTVhMpt3ae6aD1xd6QemNhANLxOP6Aez2BoPBYDAYDAaDwWAwGPYIIxA2GF5kWDu0alUKxhKxuEyjeeLGel/OlhNJm6If4fYpXq2TcizQG+LgbsGloh+R82zWqyG2FJyaTHItXyWMNBdr4scjOY/JpM1nLq/j2bFg7y23TfDzD1+gEio+e3mdr7nvEK5t8ex8npIfoR54FbzitaRci5VSgEZgC3Bti9NzWS4uFvj/2PvvcFmysz4bvteq2HHnk+PMmSzNjDISyqAskLAsbIEtggHD+4JlPoMtjOWALKPXGGyCkQ0YY4GJxkIEI5IVUUbSBGnSmXBy2LlzpbW+P6q7d8e9O+10Tt3XJc3Z3RVWV61atcLv+T3VUDGXsXnkaok7Dma4/1ieBy8VuO/YFF+5sM4jV+O05k8tlbl1IcP5lQoPXhotdWY1UFxcrfGK2+d57qlpjBGvrSYW9U6nrKbDrh+1i9KqIzgKWUYsfnzoeoXX3X+Ee+bTfHW5yq1zNmvVgLNLFRYyFo6xd2e2hQDXNPjE06uU/PganF9rF5vsxwWpBo2FVyngaN5lJmUynTJoSAGfXu0v8nAMwR3zOWBEl9uOyybFhgA9bRnYZiywFdB0kxMt/9dYyBK0L440Pl+rDiesjBRt7r+NYAZLwiC6VgEbLl4iXszywtYLE/87bMlbvBEw0esCagRgGXGAR9kfXVyrgKVSQNa1uoTZgxDvo7le8LockIXYuJW6fkPanNTqm9cCRcqSsfvmaD9jIjTSCk8d2B0n4UHZ7lbFkIJKLeSJa0U+++Qqa9UAAXzqyUVed/chTCO+d5HSTUG7axoDBwW1onUs3mhDMLCb9jAIQAvN2eXyyOmgb2jGVPbGzvmyrR1LSGgwyXZr3NbhcNbmz75yaSJlaWU/dvkun3ti4G2/8Ff/Z6DttNYcyNo8s1qjVCrxf/7ld1FYuohfWh+qbL/xq/+VV/7t72oes9PpfjfZh7d6TzLpN73oOOAzq7XeG47BZNxjRz/GoHuq7YjW+fNPwMtfMNCmmjhbFUDGMbi4VuFQ3qVYDSh5IWeXy80+JMTzQcOw2RjbNSVzaZuMHWdkamybMkwipVkZQ9TbIGsbKDVuNpf23zCMe3CDj/zC+3nVO74bgP/p1fghaZAeIDC3phS/Uynx7aks18pV5BveQupPPzzQORs/OXzhS4cu76g88uXP86+++2+h69fITWf4wJ9/mWy2W6xvGYI7FnLkRwx+3W32hiC3m511FdbU/IiKH1EL1EgZihoUaxHFWpWUJcmnzOZ8RzxPJHCs0TMp7UUiDVEUC4UNyY5mZUtISEhISEhISEjohxcolssBhgRTSlJ2nPVoP6+fJyQkJNxIJALhhISbgNaJwnEFwg00mgev9ne27cVs2moK/5wtRKzzaQtTShbLXrzgI+PFoWP5NH6kuFSobemUk3dNwijeJlSap1Y2XHCkiMWHRl18d3o21fzcMuJUoDnHwDUlBS9k3jR41pFpSoHi6eUKUymTkq85PZPF80M+cXaJ5bKPHyquFjwO5BykgLIX8jfn1zk27XLHwSxfubDeNtFe8iJmI4VjSrKuZHUEt6PZjMVLz8xxaiEzsji4Qaji9PPzGRsvjKgGcdmU1iO7fmZtk5IfcdeBDIdzNqdm0txxOMfD10pIAcuVkE+fW+dFx/OkrcHLn7WNtvTDWsdptuN/62Z6V63BkoLb53NorVmu+symLcp+1LYA4dSdTb1IIRH4keJA1qYaKM6vVjm7svnCs7GPBzh51+S+w1mk6OUntPnvumUuM+aCaTuti/GVIGJUE2EBTA25AN1AKY0pRbMsjikBjWvEAuLYvWZDDNxY3NNaI0S83zgu6Z1owI/Aj2JxrdJxW+VHimiEx/LCSoUTc2lGkb1ESqOUbgoEG/ihaq8HLdk/4zLH1yxUcVsyqNtZwvawkLEJI8UDF9b5g69c4R0vOoaU8PbnH+FDX7rC737xEs85McPlQpVwQlW54IU8cLVbNHbPgfxEji8AwxCUvYBn1qoTSwt9YzKeJCFSJMLrhH1BZ/DQjcvmP/IfvPrZQx/xvT/wbbznA7+5+VmFYPErn+AXf/g7hz5+Kx/+uX/D0Vf+nbGOsV3cjG+S/eAOryfwXB+fcjicd3jgchGvR789Y+8PMZkUk5cZZrJZyq96DXz0LzbdrjHevvCnnwXgSsHjSsHDvVYk0vG4vLM/tloNmU9bA2eKyTkGWTtNLYxYqwUIBPMZm7RpIIXoGfQohOBg1sWLFGV/66C21it49epVfvibv47Qjx2IbdflV//vgzjpzd2kbUNgSoFtSkwpqYURZS+qX6P2azDK3VLBxvW6+30/T+W9/wxH6y3nIHzA+u4f3Lje7/rnnKgLhDfbs1HGlb/1bSOUdng+/9E/56d6vEtqlTLf9dLbAdrc5rO2wQtOzJJx9ueyxl4VB8NGubZPKKwJI00YKVbKwVii4F5UA0U1aHcQNyScmMtM9Dx7hYZQWBA7Co85JZyQkJCQkJCQkJAwMrVAcX6l2rVmaUrBXNYijDRZ1yC9T+ZbEhISEm5E9udMWkJCwlA01rsiFadkG3cyuhKGPL0yXGp515QDLc5A7ARyJJci0jCXdoB4slOKeIHJjyIKXm9nKUNAzjVxDMm10sakcKg0Z+bTzR+esgSuaVAOFNcLJa6tVLGlRMhY9HJ6NkXZj7he8vnSxXVumUtzajbNC0/MUKyG1ALF9aLPrTNpTKm598QUX3h6lT976BoKuLLuce/RPPcdy7NWDXlmOb5eriXjyfD6QlkuZXL/LbNUQ81KNWTKNUhbBn/xlUsdrqP9uftwjtuPTEZgBeBHmqV6Sk4JVPx4YWs+Y+GFioofDSwInXJNVio+QsQuwg9cKVMJFDlbcNtciqN5hyeWYuH25y4UuPtghoMZk62EDq4pMaSg1Ce9YCdKa7wowpaS+XqdCpSi6AdU/YjZtI1rGDy9VuXjjy0N9uM62M8ClDsXUnVB63A/4s6FLJLdXYEQwMGcQ9oycI14YKmBoh+wXPFjEauO3XO11t0Opj3wow2nYkH/NLhS0EPkqpvfNUTnk6TzeKaMgxqU7nQq7k+k4vfBKAEjfqCG/k2t25v1YA8hGqmOhy5CAjCTsjiYdRAIvChuBwtewEolYCtd7GzaYiZl4RiStUrA97/yNNKQfPuLT+AFEa5l8F0vPcn59eFSS4/KJBbIz62VKQ3Yx0gYDyG6hS4JCa2MUztMCc89MtWsY+M6yV4u+bzm2Yf5ky9f3nrjG5jCyvLQ+zz4mY9tuc2v/OSP82e/899HKFFCwpiM+Rqack1unUvhh7rN3baVB64UOZZ3R858FCnFhfXJOxt3Mmg81LCXLPPTP0f5/e+F3/3Nvvsr4FO/9XGoZ2eSQmCIWKDbCNAQ9fFlpON5KEMKrhV9XnZqprmdbmQe0fWdWs4miUXAactkpp7JapBMKFIIDmYdnhpg3koIuHLlKj/0+ud2fefXavy9l8QC1ezMHFPTs7zjH/0YL3rV69u2y7smS+WASsu4J21JFrIOpmivQxIYttdqWhsuufe87Bv4ydvu5V888SBZKbF6XI9Qa6pa8zNHjvCd3/2Dbd9d+oOPcfStr2z+3bl34+qXXvRSit/3ri3LNu40yJ//3m/wy+/7p1tu9/b7j/B7X7nM8ekUdx/KY3U8m3tZdNvJfihnaxnHv7ZxwEAtiFgqeskcwDagiTNeRTqeF5dif89RJiQkJCQkJCQk7C9qQcT55VpP7UCoNNcKseYgiFQiEE5ISEjYRRKBcELCTUBjTtCQgqxrUfbiFG5DH0fAatVvpmYflNm0hR+qgcU7QaSphCEp02wueGnqE50Sqj1mk2fTFkpr1qsha9WQ+Ux72viiH3F2KV4cMgTcOpfmoasFLCnICs0nH1vi/uNTfOXCOmcWsjzd4jb88adWmU5ZHMxF5ByLQ1MuKop48FKRr10vcGzK5dR0mg+vXubojMtth3KEkaJUDTCl4EDOZiFr44WKQi3k/EqF2w9mWa/4SEMSKlipxgKI9VrEei3i6+46xJRjsFr0OL9U5txy74Wtuw7luP/k9EDXdRRar/RS3d047xgU/Wggd6n1WkjGNlj3Ik5Muyxk4v38KHaTFMBrb5vFi+K0I0+tVDm7pHnh8Tym6L/4FypNrYdoRLcWKlYxIdCYhuTscpn5jM182sYQEktKZl0H3Ppv1ZqHr5UGvDLd7OvJ9xFWe+4+kGsu+G43eddkPm1jSkmkFEuVDfG/IQVzKadt+3IQcLHPgvwwpqINV6x+bCaUV5q6U24sM460xp+UFWsLoYJQxU+qY4qBRcJ+oEg5wwseHEuOJeyN99No2l2aEwbDkoLTsxnMFse0lGk2/7uQcigGIdUgIu9YXCnW2pxes7bBbMpGCoHSgnsO53n4WpwNwJQGtin53leewhggZfGkEGJ8t8J93f7uM1xLUvWTVf29xY3zAEy7Fi88NtX8+9MXVsc+pmoI0MY+UkIrV86eTcTB28iN81RvE2NeoPVayMeeWtt0m1qo8EM1skAYEWcl2W7EoK3bCEXJvPs98O73UP6lD6D/y881Pw8sh998329CNguro4mgv/HMfPe4THT9o/3rITt8gzqTXjl7lh9628u33K60ukxpdZn/8MPfDcBb/v738K73/CTQ7ZQMsUh5vRrgZCUgqEVxhqYFaXBVDTcf945/+f+Rd+M+vx8qXv/e/8wv/ff/xK0f/nXelMq0CY5NAX9ZrfLgy76R73zff+o6VnY6x+pHv0ju+74d64nHuqqGNgzOv/8/w7OfM1QZR2UQcXCDt99/hGrQuzI3wp33+vt+P5Sxk1ZX4eHKrqn6EYtFb6TMR504piSfMjFkbEBQ9iKU0qQdA8c0sAyBnFDWvP2K0htzXkY9KDsZKyckJCQkJCQkJGwnVT/i/EptoLXX2Q7tRkJCQkLCzpIIhBMSbgKkaJ/IzToGXhgNNUFrSsH59TKr1eGcvGxDsFoJuieRt5igXK74HMu3N1GOGU/2TrsWy2UP25TYhkRrWKkEaK1RCHR9orgVXXesMaXg609OIYSm5ll8+vElFosetx3IIuvfL0w5cKWEAO5YyPA9LzreXIzSWlOqBazXAgzLQEiD+YzD164VWZhKYdZ/lyEEitjZ04sUXzy3zlTK5Jb5DM8sw+MtQtSlBy7z2vuPcLW0kTay5Ed1QbXg+OE8952eZblQ49p6jbMt+953Ygrb3Nlou4IXIYG5jMV6XaSrlO4rlqwEisM5p+lKDPEC2lpLXZLAQsZiIWNhCCgFiqvlgONT7cLPrBP/1pLXb0FN8LGn17o+ffOdc3hRxFLZJ20ZpExNLVRk7Y3ByCOLZc6vje7ytK/n3EcovBRiIimIs5bJ3Qu57iL1WcWwpOxqG1qJtOLc6s44nw5CvIAZX6iULfEDNbAD97AMk2LYMkcTO0gpOTabRhM70kNcfa4X/KHSg2oNte26EDcghhQcyjrkHRMp+t87KSVTjk2j6bxlJkOgFE+vVjicc8jaJoINcbHRIZwTQmyZqnhUbENw14HuZz2cgPHvLbNZGr+i7Iec7RNUkzAeqUQc3MSxJKKjCfMiNRHxw/5H87rbZxv/JO+aOIZB1KfTIADqbZHVKeoY8zVxNGtzYWn04K+bnUoQB3gupM2uftm73v6KXSpVwn5kEmOG9gNO+Hg98EKFM2J/GcAQklOzaZ5YKo92gIGTuwzW/x9imNCF9Q/+Ib9075tG23kXyTsWfkaxXPE3Xaj8wQHEwb348K//Ck888lX+za/8fs/vGwHyQghWqxtzPS9689/mw3/4OwOfZ1ZI7n3dW9tc9W+bS3Hbj/wY/MiP8fHPfJxP/8Q/xaxVCR2H+9/14zz3DW/lWX2O15jDKf78Bzc+vHQeZhcglRq4XA3GGTr86DteN/Q+pVKJbDbb87u9LhLey2UbhFahcOvfvVBacbFHeuFx8EJFxtnok2ScRFywGZGGKIrXBBJX4YSEhISEhISEhO1gGHEwgD3GPMuwrFWCNi2BZUikqM9VW7ubGTchISFht0gEwgkJNwFCgGXErq0AGdfCkJIrA6a8NCQ8fG19JFFb2jbahKCDIAWcmMp0ubAEkSYKFEU/wIt0Pa16/KO01gQK/vrcGsenHG6dddsWsk9Ou2Qs2Ux16RqSxy6tc3I2xeG8y6GZFJZtECiNIw2+5Z4D3H0wyxeeXuFDX77Ey26f52qhxmefXOH4rMtMxubx6xGGUmRdiycXy7i2gZuyeORyAaVhpexzx8EsD18ucutCmicXKzx6tch02mKtErT9rmLZp98KYDVQXAp8EJKFuQxCwLmlMrcdynGt5HNoJsVOd2UVG47CEJd8JmWyWo0dg4NI4Y8o/os0pEzJbMrir8+t89yjObKWZCZtUaiFvY+rY4Gy12cU8vmLBZ5/NA9oLqxX0RoO5zfEx2u1gI8/vTJSeTe4uWbaldYTcRCOn8kJXTuhefT63hUCVX0VC+yC3VeQRUozamxBnA5YIFv2Nw2BN0RTv58XRneSxpNx62waSw5/w4QQ2IbB7XPZ5t+tKA2WIUZur4dBismIgXsRtpTf2eGgmZuN/S5smBS9hNKWIYh25ersrTvS+o47kneYduyR3/O3zrkcyLaLP/r+Wt3+3VLR46sX10Fp7j8+1W+vkQj8kIMpEyHgamW4cc52sO5FmFKQMkU9WGgyPLVSZbEc8IpbprpT0E9c8bk1h/MOGUvGabQjxWMN8XcjGFY3E4j0ryj1RkyIOKi0l8rpWN7ZcOm3JJZh0bv167oqfb7vTNQOfqTw+6imtI7PZUpJVyTCGPSvGa3lFFSCCC/SOMbk6pJlCFxTtmU1GAch4NiUw8V1byLH60XJj7hU9Dg1vblg0pQCXb/HSxWf5XJcJg3knTGmXHtcfssQmPVAikbN2Il5AMeU5B2DQt8g3eHZiRZECsGBjMtC2qHgB1xar6GJg9YEAi9S/P4v/aexzvG1L36G3//ln+Vt3/uuvtu0ioMB3vne/8hn/+j3uKYHex5e8sZv2fT7O1/8Cu7+yOeGypTTxdETY+w8Os888tDQ+xw5MEuhJaNQJ3tZJLwXyzQKnW+1zt+llOLc8uSDtuez1uTmjm4iElfhhISEhISEhISE7aDiR1wYQhwMO7eKHinN1XW/Y+0rntNYLgU4luTojIslRdI3TkhIuKlIBMIJCTcJUoBjQGNNx7YkriUJI715inehefBqceTzjuJEeGauWxwMEGjFYtljuRJ0fVfwFV+6FJfzWslntRpyYtrlzgMpbClZKvttC+Yf/PR51qsBrmWglObofIaUY3LH8Sk+9LXrZE340Bcv8NUrRe4/NsW5tSpHZ1Ok0xa3zGc4u1zF1zCdtijVfG47kOGppQp//OXLQLyY/LyT04SR4viMy4WVeHL8zIEMD13qvp6feHSRl92xQGWL7rEfaWZnMkxNpdFASTWcXHVzoXs3Jsw1UAsUGdvg4atlnlmr8YJjOQ5lbVxLtrkHD4rSGj/SfPZ8gVfcMt0mSG7fDj7+9Pqmx7peCvjzx5d57e2zTQcrv75AHSnFX5xdHm9Bbb8zwm83pEDtvs61iSEZq63aKaqBwjEFXjj5CucFikbga5xaUxBp3SaebBBECseavJAyUgpPRbiGualIKRby7E57td9IWXJsV99+11npxnt6+xvAW+eyO7IqfrPWqLsP5JqioVYad3fjv2Lzft8mbPihJ/Ri9+re3q31lwsexrQga1kjCVctKfHC3v2/rUhbkk8/OW7wVx8uxP1OyxDce2Zhe84xBI0x0H2Hs8ymuqd4Xvd3vos/+53/PvRxV6shAlguhyy0pAC8evXqyGXtxX1v/e6BtstYkrPbIDjq5JWnp7a9f1IJFJ+7UNjWc4yDFPCK09MTO95SOWA6ZU5MIAxwy6y7rQJhiNuRfqxWfZTWVMKozdm1jQlXI1OKXQk01BoO5RwK3uQyNBS8kJy9M1PSQgimHJvMvEk5CJsZNSKt+e1f/PdjH/93PvBTvO1734UhGCiofjpl8WsPPMM77zvF4iYiYQG85L7n8R3v+/ktj7l3ewKTJwi27hdsJRLejuu11a3fq6LlcWl1FdbE4uALE8zoJIHDM27daexmqunbQ8NV2BDxHFqP4WNCQkJCQkJCQkLClpS9iAurtaEzRoVKY0+4E+qFqjlSaDgUi3r2DD/SXaZNDT2D0hCqJIAuISHh5iIRCCck3ESIekoxpWNR6eHpFGGkmuLVTlKWIFCi6Qy7ExgCXNPomYbOlpKMbSCApbpIOFCav7lUpBoobENwMOcQRoo7FtKxq2ykWaoFRHWDqNm0hdLwqjsXePxKgUDBWsVnuVjjajXk+UezPOdIjkurNf70qUWef9s8Xzm7wmolQGnNgakUv/vgVQ7nXITSnF2p4kjJtXUPP4h43ompeFFIw3olxDYFc1mHhZyDHyoeulTkdfcexrYN/vwrl/BCzX0npjg+n8Xzo9gFd4uF01Zhj9Lw2fPrmFIwnbIQAk5MOTiG3PG584tFnwevbLi3fuFiEUPAq2+dJWMblP3hHIcWW0TFQahxzN4/qDLgIulC1ma9FmEbkkcXyzz7UJZZN+Kh6yWulYYXMHeynwcQoyxU7aWfaxrw4JW9K7LoxAs1lgQp45Q2kdb4ExAMK9gQbau4IUpZEq01usU1BiAIFUrr2HVsApW3FkZorViqeCxVgtjJsC5AnnZNMi0CAENI/Ejx9GqFI3kXxzAm6nh4QyHgWD6FFNvnD5dzTKrh+G3gVkgEOyFpkUJwMOu0feZF0dDZDPYy0ymz3ZdSx6KhwVL4jt7WJE/pXmVvy00urNWYS0ccyLjDt/VjVLqbOvCrg+/5sfeNJBA+ULnK7XfdQWcde+Tzn5xQyWLe+H3vbqa83wvsRPBSUj0nwfbeJwGkNwmmu1KsbXkfk/vcH6U1rilRaJRi5OClYcg5ZuzMXWdS4w+tFJefeoy77r6HahDhmBLblASRpuyFzKQtIqVRGip+yGolYCGb5rcfu8Y/efXzeerSeQotq6oSOGKYfMd7/wOvfNu3DdSH3aF4v31FL5Fw4+8k30M345ZPozm3XObC2sb8sikFodZtWR5mUjYZa+vlqIwtmc7YiTB4m1B1obAgFkRIsb/nNBMSEhISEhISEnaOshc7B48yhgiVxp5AGQrVkJVygBBQqWf6cy2JbcTmKJGiKV6uBgrXEtSC7hJHGlQUB88ZSZ84ISHhJiARCCck3GRYMu7wNDSopiHJuyaVFvGmELGjYCOi6vhUmtXqaOK7fp0p0WeCN9IQKIXsSJaptabsR3ihZqkSkHUMHCNOU/qCozmk3Dii0jr+txC4lsQyJF6oqARR0314YcrlwJTLT/3p45hSsJB3yUtYrIScmRXcdSgPX38rLzkxxb++sMJ3vPedZKuxO9cd+Wm+8LO/zTOLHncspHl6tcLDlwoUqgG2Vjy1WKHQQ7R677EpXvPsQyx7EdqLePmzDmMbkuVqwJU+7riD4EUaL9KUA49UfSFqvRZy94EMecdoSbW7vW6dx/I2Ty5Jyi2/PdLwF2dj97YzcykMsbEwoHU8GFBat7mOSCHQwKUWR6hIN5Z3NjAEZB2TlKV41elptKhvUxeDP7Zc4XJhQ/R2pehzpdj69wq3zaV4YkJOZFLE6Uq7GPSSt16ETQ6hu/7RA9H7tGU/5HoPN+eMPbiTbKMKXSqMdt06F+nm0jaWHN3J1pSCr15d3/MLbp0EbWremHhhJk5pMymH4UY77kUha9WAQGnm0jZnLxWb55hyTY5Np8g6JvMZZ6R2Yqnsc63kEdUX90OlKXrxYnbjvw2mUyZeqKiFiqdWKpycTpG1ra5jJsTvYktub/Low/kUXqS2XZwlhUDtQEr6SMF8ul0gbEhYG7Efsxc5mkt3fTaYOHhMkgmyhBFZrgRIIZhPO8MJssZoMnbCEW2vTRpPujj/6jtey29/4VzXkV/w6jfAv3zXRM7xzg9+nlBpDmQtrpdGHw9Nij12SxM2Ywc6/5UgIrtDLrdddA9/9wR3LqQ5NuWwVg35Yo/MSJ38vfsPM+3GgczL1YA/efQ6J6dTSCHaHKUb4yB/EAte4gwbUM86FOqu6iDqY3NBfB7L2F735T/6tV/kyE/8LAB+FG2k7oKemZCU1qxUAn78jz8DwNVnnuRLf/5HHDh5C896+WtwUymAgQPcxD70p92J6t3pbrtbV2j/3Z1h0FSDiM89s4IfaWZSsRBfoTmQdtBAJQg5uxw7kGdtEzYZ+i/kbDKOmWQa2iE09bkp4jnWxD0tISEhISEhISFhM0q1kIur3sjjm2DAMX8nkdLNud5QaVYrQdcYX2tN2VM9M/vUgm4n4eZ+xJoZJeI+cRI8l5CQcCOTCIQTEm4yhABTxOLMRicp4xhdaTGDlu7dqP2g2bTVt7NXDSLuWMgCdWGlNGisgimt21y/Iq04v1alEsSLLLGYzMSQgsuFKuUOBUCr8GCpHOCaRnPfVjTw7jfewc//5Vk+8+QK33D3AY7mHVZrIccci/sXHFbuu5t/TPtkfqqwxsu/6/W8DPjkL/8f7jy9gG1LRCni8UtrXF0s8bqX3042ZbatBKwHihV/o/O5sg1uhofyNhfWaoQKvnS5fcHONSXPOZLFNuTYogm7HkpnyTg1Z1AXKW/WaR42JfDp2RRKa0whyNgGukNY5tRThZhS1AWx9ZPXHVlXKltf3ydXqpyZS7WV7S33HGA+Y1Oohfzeg4OnUBaAUb+wfth7ELLbBEqzWt198UUrOcccWSBsSsGjiwUmpKXddeI1co1tiNhtZ4JOWq5hciBrUAsj/Ei3CZDXayHrV+P2wpBw98E8R6dT8bM1xBsgGrC8XQvdyWC7LwKx7YujYaQ5MZXmodr2CmgvFiocyqa29Rz9EMBdB7JtnwWRai5UJwzGDui7E/Ywzp98iMxnPk71BS+m+pa/M/T+i2WftG2QtW6cgJAb3f0+CgI++tTathzbsBz+4e98GYCyHzGT2htTU3KHcm3v9Zoj2Vxkr5v/V6c+5u38qDVo8fMXilyvZ23RPY7fCPA9PeNysVDDQDbHlq3bNs6xkLbI2rKrn9RZ7F6vrn5ivca+GwF7vQWl5SDcd2K/cevc/YeznJp2YtdJpcm7Bm+8Y7YZABZEujkePphz+fS5NfxIMZOy0DruQ8y6Ft/xnKNUgoigY9wQp/Xc+qoaEmxjY1HPtSQajWtJ4koYVzo/VPXxjsaQdM0lTJqV1dWx9j906lbe+H3/eOT99+PrKGMbGIZFFA03P/GvfuLfDrztbguDW8tw46DxI8VqxadYC3j0ern5zULW5mg+jawvqlcDBQKuFLyWvXtfDcsQHJl2kUMGx+501b+x7mU7Ud1VWCbCiISEhISEhISEhB4UayGXxhAHA1xe81irBEynLfKu0XftK1QaP1QUqiHFWoRlCIJIE9WzpfbCC/uLgAFqgWpm2e6FqmdhFYBtJH3hhISEG5O9sQqTkJCw48Rp7eN/O5YxcTEawEolYC7dWwSgAbMlZfrGubvLYAjJqek0kVYU/bDpLnOtVEMLmEvHjjRaxx22Qi1sOs8oHbvL9BIIA4Ra88Ovu41PPbVKJCWXCh53H8gQrqwQvf4Vzcnmfv3Al3/vGzn/Bx8nl7aoRmluCSO+8Mg1lq6vU1nIg5TkHINXnp6h4IV87kKhzSln0jy9UsOSgsM5q80tF6AWKj5zfkMAdstsiiN5G1MMn0pXI/jzx1cmUuZ+PL2yIdo9kLVwzfaFgkqgNqwuOpBCDCSCVro9nendBzLcfyRP3o3r7UefXG46/ixkLBa3cHpuDDwajkYACAhD1a+oNwU5x8ALFUHUbzloeEwpeGK5hLcXldhj4kfxQHacNrmxECnFhpg+iDTCFEy7govrvQX7kYKHrhR46ErcVtw6l2YqZXM4727RTtx492G7kQI+c2ENgOcfnSJUmk+fX+Xieo0333mAGddCoyl4ARnLbAYgbAdKw4GMzXLF37bghpK/e+njQ0VXZoJhnNMTYmqBwjYGd/dL2Cm2cbbywpMc/95vR7a08bkvfgY+8DNo4Px/+K/wrPsHPtzlQo0zs+bgwtpkInaX6X8DpGmjwu6sFJsxdeQ0t738m3jht35/2+eHcjYXWzKH7CY7pA/e82j6L5j03aHXRy2iYduUXaLQXnuFSlPyFLD54CnnmJT87R1geX3s+at95ha62EOvy3GLorRuu39a03PR7UjeJWuZvPbMfHO79uPEcza9HjUpBKYRB691Ysh4/OeFmmpLFpZaoDoWAHukDN2kmszNH2R56Vr/DQbk9nufN/YxxmGnFi5Tlux6h486ZtXAb3/2Ud7+gluH2u/dP/bjm37fKN1uC4Mb7IUyTIpIKR68tM6lQg2AvGOSsQ3K9Yx0R3JuW2CFIaHoh5Rb2kwvVPgq/nvKNUnbJoYQZFyzK9PcINfuRrq+e4VWYUSSajkhISEhISEhIQFicfDF1cnM3VV8RcX3WDYleddgOm1iGhKtNSUvYqkUUOuYb7CMeM1/I5v0xsiv+Xe93+qasv617tg2Dh42pEDp2EBGIjYyzwgwZDwL7kVJho2EhIQbk0QgnJBwk1I3XY09e4UgZRsU+6QX10DKNKiGAy6EtdCv4zSsgYsQAlMY1EKfa0WPKTdEobucKA1gqeSxkHcJlebUbIpSNeTUTIpnVnsL4tZqIWnH5Ni0iykFcykL+Q2v2LpMxNfm+FtfwUd/5o84vpBl2RB891vvJQgUYbHCqaPTnJjPUvACvnq90lccnLUNbENMxFU4UIOJMJ9aqXK95HP/kSwm8UqdQFPy4xSBWccgZYhmHWmQtg3+5NHlscs5DGnLGCo1vQCedyzHA5dLFLzN6+0zqzVunYtdLWuhouSF5F2TTz+1zEzKJO8YnJpJkbYkf7zJ724V73UulqYsMcCC+I1J2pKU6vcg6xgUt7gfgyAFPL1a7iv8vxEI1ebRrlthSIEhY4evxjEkYBrgh5ozc2meXKls2RY/uVwBYpfV+YzNfUemSPVItXz7gRyXC4NNENw6m2772xrSJaiB1nD3gVzbZ42n8GKhynqfd1orCj2Q8FYKGOEV2JeSH/K7D12NAx2AL1xsd+/9n1+5wguPTXG5UONSweO5R/MczjmcnNpKqD06B7Muh3MuTyxvz7M17doTP+Y4REpz3+F822frtaBvX2GvcMd8duuNthHDaIkwS2jDkJCqt2e93Ag0mlrQ/qFpjN4GNoiUamtXn1mrDuzovhnZ//mrzP36fwX6y0RP/sg/ZPUNb6Hwrn8+0DGDSFOLItLmgNMQSVXbVaaOnOr73d/71U/xwXe+cOBjvfbdv8CZF76653dr1ZC0JZvvxN1kx7rrN9niQqT1wP3EQZlc2GF/nlypcmY2s+3nGZhdrDeDnrrkhyDY1C1e9PFU9aOGE/DG+VrP6/VJGzNqilKATz74JHcfGb9v9bbvfdfYxxiHftd00lQD1eUs/9wjOabc4QPvyn6Em8qQm5qmuL625fYA/+RH/1nf71qFwXuFG8k9uFgL+MSTS83fIwEElL2InGMghcCPVFtQZqToCvRfrgQsV+LA+zfdfahtbNvlQp+wqzRSLYfE4ghDJoFUCQkJCQkJCQk3I4VqyKW1yQf2e6FisaRYrYRkHYOSH/UMGIZeAcqd28V/pyzZQ4fRe9uLK7W2Tx1LcmR6IwNmpEHoOCt3QkJCwo1CIhBOSLhJEfXJvUY/KWVJirU+2wKOKRhWuzqXtljts9Og+ibTEBS9gEvrVVzLYL0WIoGVajyhPJOyMCSslgO++MwKH390ibuP5Hn+rbNECD721BpWEPL0Upl/97eexdeuFduO33C7eMHxHCnTYLka8MRv/i/uHvA3Nn7GzEOf5sp9Xw+ANCVGxkGnbJRh8Mln1gA4mLU5PeuyXouYTVmAphwo0qbkSsFjxY9IW5JDOaeZkrXhsPPMSnWoBevsgM6IJT/iU8+sY0jRV0xiCPi6k1PY9Zngp5Z3XjwVac1MKnYUkSIWdmniqMGlPq6+phA890iOTzyztuW1e7LlN62WfSwhcC3JvYeyrFQCtNZbim02d8O7kZaGtiZtydjZV+suscdc2mouCI2CEHC1WKXg7Z4b6U4QRHGq3oaT8CAL34L4mTCkoBooOsfBCqib9eAYJncv5Fmt+lzu1/h3sFT2KfshKdugc8ku3UM03A93UGHYFkSqsRjeTdY2BxIIf+16ccttAG6by2Abk3GcDZXi1750ecvtPn9xvfnvv7lUQACvv32e0zOpbUlr33AKOjOX4UqxRsWP2tyexsXcY6uJWneLvh1jPKHmTuCasuvZ3ikMGUfWJ/SmGmx41fUK8Eg10p+3YIjRA0FaaW1XDQFjP7kXntxSHNzo2cz86YcpvPQb4HkvGujQkxAv7xX2WLO2KU4qjVetDLXPt//Cn/T9LpvN8qb3/Ap/8t7v2fI4z3rzd/QVB0McoDebtjgx7W7qUD7Ie32/MGyw7E4zqaqtteZ6JeRr18pbbzz0wSd/yE5cU+JFUbO/2TilHylSVtwv7BzltQaI1MKN7RrbNmh1qIGNOpGxJbZh4FoSsyOARBC/S3TdBUfTLorc+Kz7DsbjhMF+txepZgEb5RxUg7tcCSjUQm6f7y8Qtjfpb3W6BMHWI+lQ6bpwTRCOkLHm+OlbufD0k0PutcHsgcMj7zspdkIwP2lSluS5x2a4vrTK4YUZ1tbWNt3+nd/53fzbf/f+rs8b9aPzCuz2DMxun38SKK1ZLHlcL9Y41xFE2TocbQSBr9dK3Hc4j1IgJfFcwybBIUprjMSOa18QaYiixFU4ISEhISEhIeFmY7vEwa2EqtsMblfoMYALFdSCkIxtbJtxT0JCQsJOkgiEExJuYloXtZ0+q0WGhPPrFdaGXJDNOUZPEWDm1/8rc//zVxFAc5nQsuCP/pLMgQPx30JTqIWU/KBNYOxF8b9bl4xWqwGmFPzcX56lGijuPzbF49dLWFkXAdw6l+Kr51ZZqwZ87NFFXnP3Aa4WPdZqAYYUrNdit4uyr/BDzXza5vgvvLdtsW0Qvum//yT/6F2/jmtJvul5x1ipBpS8iEjDnQtpgkijgGuFGoHSrPQRSFYCxVMr3QLcUzMuq9UQx5TYhqBQC9uccQ/lbLSGohcyn7FZ7COa7cdmYo1Iw2fOrfPsQ1nSlrGlI+92sFYLe96PmdTmrzEh4HlH813unJtRCxWFWoglJddrftvnZ+ZSnO0jkL5ZhwbzmXjxtxoolNZkbINIQSXoroNFLyLbYiI67ZooNEU/wDYkluxOWdrJStVncQyB8X6jIRxzLdHlPNlKypLUAhULa4Zw0ZrP2DiWpOJHXCttPdD/7LlVUqbk2UemmMvYVIOIkhdyab0Sp5xFcHImteeFL7uH5ncevDrinvCnjy8x5ZrcdSDD4azDWi1EEy+s3rUwGWfZSMGBjAtZzVevDSagHui4SaXY95hSJgLhm4Tj3/ftwNZ9m4b45cSP/yPOf+RzAx17ueKTs/sLx/YT+0nr/F/+4it810tvH3h7YWx9j04+5yW884Of5zf+wUtRgd+9gRC87ec/zMEjZ7Y81kolwDYEV4s9jrOD7FiYyE3yTqyGenvEwTvEei3kl79waah9DmZtrpWGq8etDtoHMhZvf/YhgmicoJzx6pcU8f/Or1ea8zGZAQOQBz37lGsOHCBjGWLT4AGI+68Ro2Vg+bO/foCXP/d2lq5uHcDXi5/5vf87wl77c/ag14LosOJkKWAh63DvkSkcM65XVxZXOXv2LPfdcwdKtd+/2dk5Ll1b6i4LvYXBG+Wi61ijIqVg2Hu2v1t5zVLZ47PPrHZ9k3OMpsjfNSWH8y5eEKIRXFqv8sCV9rm36ZTZtdj/mjsOYElRv64J+4nEVTghISEhISEh4eZhvRpyeZvFwZNmnK5pECrWyl48ltMbY7qiFzKXtpjP7a0MmQkJCQmjkAiEExJuYhoLP0rH6ehNKQg7Vrojrfu6AG9GV8r269c5+c5vav7Z9m0QwOtfQdlNYX/qCzy1UukqRy9sKfjAx56i6kfUAoVjCrxQYdUnqw0BZ5erzGYd/MsFPvf0Ch/68mW+6b7DnJxL8amLRaQUPPtghjsXMuQck7xrcWHI39qa/vLe41MESpNxTCqBQmvNk8sVxjWHe2a12+Hz9KzLxTWPQGnSlsG51SqRhvNrg7mBDoPS8MCVEhA7wC5kLNaqwdi/axDuPZTlYMbquSi4Vg2bAtV+Xf/ZtEKTa/7dKf7udF4KleJKsUotVM166JgSpTQnpx1um0/xF4+v0CfDaU9u5PnySMVC/QZbLciW/YiZVHzPamFExY+aLtB3LmTZ7GqVg4DLhcnX7/1ALYgXvJXWXel1XVOM7EAZKUibJnnbpFALqA5gTVoNFZ8/371Y2MAyjL6pgADq68Bd7q03Ax9+ZJHVMR0Q12shnz2/3vaZY8iJCYQbFCbs1BhFio4Ms2jiOrh32PutdaB0vZ+z8YxpvTPX0Q8VzhbBCgl1tqhKvVKnT/bkY4rDtB64bMP+Bn+YyrrHH8n9JIjIZrO89E1/i0/9yf8eaPsf+L0HBj7u9//OVwAolUpc+sonOXr/y8hmh38nTfq9Mwo7ZQZys7SirilwzV7pHcdnJ67hxfUarimoDTHwU2OKv6+XAz5zfo2XnpzZtSCExnmP5tOsVmOx3zA/a9LFHiSTyrj86l9+iXMXL/OuN70AFQ0+SPm5P/w0mampoc831LtwAMaNOaiFKs6c1HG8ptN1/b+9TAC65v76YBuCQ3mXuw7mm3N2rZw5c4byAMHoWwmDG2itubxWm0j9OTGbwjAGf0HsX/dgzYXVKg9dXmezGtp4V65WQy4VPGbTFi86Ocuzj0zx0OX1pttw2pIUO97tecfEMSV7vpOXsCWtrsJmXSicmKolJCQkJCQkJNwY7AdxsCXBNGRrOqVN1yW3QgGrld5zkyuVENuUZB0jCXRMSEjY1yQC4YSEm5ymQEEIbFMS+hsT8lLA06uDpaI1xIZp5VzGZrnc4ppTLjfFwZt2m2pV/Bc/l4Mf/3wsrm2EaAkoVkMevLBOqFRzseLSWo3VurDw/mNTPLVUxrIkr3zWQZTWlPwIEEzZBinLIGVLil7I73/pEt/50pP801feQsYx6sIajWnEriDDCoQbvPb+IyxVQy6sx53mhYxF2jYIJmfA2MbTKzUytmTWtlgs+7zwRJ4g1DimZMo1EcTpQb94sTi0A/RmNBaFTs+mWC772+4ofHzKodInzb2Gprh0M3JDOB5JAb6Kr2PWNlDE7k3F+sK21ppvuWcBy4jrjtIarSHj9D+HJhYZN8YNkdL4kSZtS8JI1yfR42Swqp4ytlMEOgm2Y9hS8YerW5p2QXGrG1UtVLgGVMKIlCkx5cZ3XhTyzGpv9+abhWo9EALAMQVKx+l3Yien8epLqOC2+SwPXY1FAEKM5oxoG2LTohgSHr1exIs082mLjGMy7drUgrgeWdKYyGLqXhyiSxG/Fy6sT17kbg2xYD0oMymLC+vtz9y9h/LNtNVrNZ9za4M/k4uVoMv9ez5tcTCbGr+wk2LAy5ixDM7MZ0BDOQhZLPus75Cw7WvXuzsVzzqY35Fzx8+mQOzLRNa7T2sgR+P6bYdobtz3gfjYX4y03/T7/yVr7/6JrY8/0tH3JvvJQRjgXe/7BQ4eOcnv//J/7LuNkAY/8L8eGun42WyWO176hlGLRyVQ3DqX4sk+2ToSto/fe/cbKVw9j1fYaJN+wRakZ23e/z8+w8GDh4Y+ptaaQE1eCNlgJ0RIrrk7zvlfulzk60/O7Ph5G0gBD11rdwEd5s0/yK0Z5vbFY2kx0Pi4NmoEs4ZDhw7xO3/TPhv0f//gt/jlf/djhH7L/JYQvP7t38GP/tufiucJRpgP8Sb8/tdjKIRTluSBKyVWRkzpOojz+rMO5TgylcbujBYcgkGFwQ3OLpYoeiEz7s67PO2z7kGT5bLPA5fXN92m6EUUvYi0JZu/c6US8PDldQ7kHGxDMp+xiJRmvRY2+0o5x+R5x6fJOslS1I2GhqZ5ROIqnJCQkJCQkJCw/1mvBFxe390MX4NgyOEzCI1KpDSX1jykgHzKZD5r9Qx8TUhISNjrJLMyCQk3ObJF2Gt2zOApDadnM03BWCsHsw7zGZswioWUZT/kyZW6mLhjceLE214NDLgIFPisffDXKb/1W9s+rnohf/rwtb67KTQVP+L+U7OcmXOZzzg8uVJhxjXRwP2Hs1wp1njZnQdwDMlC1iZtG4BACOri4NFo/NpOV8jFctBX2Dopyr6iXF+sytkmgRF3hqst533ukSyBgs9fWMeboPvO0ytVFjIW0wLWatv3Oyuh2lEHlpWKjxSCit/7jF6oEUScnnGRLSvTm6Uz7fd5xW/9fON840ymSxGLBZUGVRe+N8q5Hbcp55h4PZyERuGZloAEARyZcsnbJlrA2eXBghVudLxQ45iCSGka68qTGgRHCu4+EAsNhYCHr3W3/VvhR5rlqs9syupyNI204unlarMdWqoELFUCzrEhBDqWd5lO2WO7YE28vZjAApfS8JITM5yeTfH7D18f/4DbTK2HxbMQohmFPahb2H5i0F9UDiJWqwFp2yBtmVSD3RWz7eQ70g/VvhU9JAzG1Kc/NtJ+7tlHJ1sQ2L8Km91igEbs7/6/P8rf/X9/lI/+4e/xi//qHzfHbdPzh/i2X/q/21u+AXhyucqpGZeLa7WhsnVMip16s4k9IpUvlUr87j/6Ompr3X1J5WtKVz1+6I3P5eXf9FZ+8F//4lDHvlDwt1Xs3esaHsjalHsEL3b1K3U8xuzEFoLHLqxgyHj8lHNNZmYykypyX3qJnXfbgfTUTIqKH3G9Hvg9aJ2dck0OZZ0ttxv2t4kBr4hRz4oliEVqg+pw+/VuXv3Wd/Dqt76j53cr9THwbNpq/nu3GCdgpRooZlLmyALhzgqctgzStsSPNGGkuftQjkP50QMChxUGA5T9kMcW4wxYC2l74Hpws/PQFuLgViqBYi4TL4rbhmStFnBhvcaUa/YMnLx1LkPWsXocqTdJF3B/0nAVlmJDLJyQkJCQkJCQkLB/WKsEXNkH4mDYnTGD0rBWCQkizYlZdxdKkJCQkDAeiUA4ISGhSS+tzyMtTnVTrsmtsxkipYk0pExJRSuUgoK3sSBSrAXkHZOCF08KC4ZbbJ37Lz/dJRBWWmNJmM3YzGYcHEtSqIZIAam6Q/Czb50jbUsiLah6IZdWqqy4Fi86nuexxTJfXayiNLzweJ7Fss9yxWM+M5kOnGJDaN1K2d+ZlYgT005fdyNNnO7tFaenCTV8/KnVnmUdhcVywPEphxefmOJy0WetGiCAZyaYeuSjT67yjWdmiOqrXq1u1dtBrLXsf4KUJTk5nd7WZX2lGSgdb8qKZ9urgSJlCQQCL1Jt7kpRuLGcNq7oshNTQtnfHnG4Bi6t11g2JRnbYC5tEUS6LW2vple71Vg+1lhG7PqlW3boDITYjzTur2WI7Uu5q+FI3gUNpSBkpRJiCI2vwDY2FwlcXK+yWvE5PZup1znNxUJ1IIfVi4UaRT/k1HSGcL9ZMw7Ikayz7e3YJGi8w3thGnBu8eYW7Z9fq3JqJkUhCvF3+2buoIpIaXAtQS3Y4xU4YWRKL3gJU5/4y6H3q91y20Db3To7uNguqWXbx6u++e286pvfvvGBho8+vbZr5QH4mw/9Nz736z/d9tmRZ72It/7Ef9+xMtxsaQJ/910v7ikObkVH8Ik//ANO3XEvb37H9w9wVM1aLeKpbXaC7nWnDDHe+LtUrLLSkp3GlIIFIfCHGETdCN1XpSFrW22pOQdxbHZMyZFcqi2Itv24unnfRslFMIiLcGP8oIlTjYZqsPpwfCrVzAzU2B/q9azez2o9s275QAhBxjKb3yitaUwpxP/VIETbvJghBVHb9Wg/h24tQD2rlgCkEDRi23V9O01c7vWWvvuwLVllwIDTQzmblGXUHYvjs6RaXIFTpsQLI6pBxFTK5JVn5pFyeIVg63Xpf8d13/mNBy6uNf9dCSNsOXhGqXFove77rykYvsRBqKgEioLaqHvrtZD5jNWV6evQ1NZzr23PQ8K+Rum4fQpVPG8oxc44/yckJCQkJCQkJIzOfhIHJyQkJCSMRiIQTkhIaCJ6zNaZEmbTsZvjwayLF2pcUxCGmkhrtI7/m3VM/EhT9iMiwDAEc2kL5+++eehySOKJ4axj4JgyFsApzbOPTfHIlSLXit0d1PuOTWHaFvMZC9Bcq/i4rslqNWC5ElDyFadn02g0iyWfa+UAx5Tce0RzIOs2f3upFsCnPg8vfeFQZf6LD/wRcymL5V1yjnnWwWyba3Avgvpi2RvumOMz59ZZHtUhpoML6x5+pHnekSz3H85xIONQDRWfPb+KELGQUMiN1JMCQS1UfPVaaWBH43UvZMo2yLsmxVqIKSFlGc0UHo30hduJFJC1TY7kXQyx/TYYtVA1J9BdS6K1RiCoBgpTgmVsOBYbEqrBsL464zObtrle8pvpd7dDI1cL1Rgp2NufibRljJXWdK9hboNAWGnNw9dLSAEHszbTrknZD/nkM2ucnHY5t1YjZUkWMjbzaQvXlLFguOP9EWlN0Qswpdhwlx+Q9VrIYsUbKx3spKviJNeyPnluDaXhxLRL2Q9Zrmxv29VJyur+Nb2u1yHD5WC2fSG3EagRRvCsg3kUsVN5oOLn9GqxNpRYtuCFHMwOU/q9xTOru+scvFv4ocY2xO4LoxO2hfA1b4Kf/omh91v75+/bcpu8aw7lnDpOyvT9ysGUyfX1KkfmMwgh6KER64kAnH1q03b5a1/iD/7F3+N+y+anp+e423KwBKwoxe8/9VX+59vuYfbFr+MNP/Izu13UybEHRDJ/8K/fTm11sEA/reB3f/l9AwmEIw1fvlwao2QDXpxem42pPjrf0Wc9NJXCU6rnPMkwxdqKXoLa3W79DCm4WKg1/7akIGMblP0IKXoLoQ0BkVIIKRFCEGlF0QtBgCEEF9aqGFKgNdx1IEvn1VJaE2mFIQRS1Me/9WtTCSKU1vXg0PgzUW8V+92faAi1dsY0mVRo9yCBVGbd6XiS/OYD/TNutZJ3DAreaEG+acvgqZX2/u8d8yn8erC6H2lOzqZJWQanZtOIIedNhhGIlv2Ijz6xuOV251Yr3D6fm3iwdC86T7HbTuDdtPYkdEO7ThhpFove0A2YbcqedWmpHLSJhF9+yxxmD6F45/3WHd/trWuXMAqahglDvL5gJELhhISEhISEhIQ9yf4UBycjhoSEhIRhSQTCCQkJTXpN0t29kG+KOBsTtI0U90LEQmClFLfPZXlssdQUaa7WhbLHrw62SNGKJp40LHoRxcZksxS8+p6DRFrzwIX2tPe3HciQzTkIIfjNT5/n277uGJHSPLVcxbUkF9ZrGFLjRxqNbqY6/cjjKyyWA95272GkAFNKHri8xmpVc5wNofJWZVXAFW1DJeDWuRTr1ZClHRIKT7kmLz01RWUIF9eyH3Hv4SyPLla40kNsPQrXSj4fe3qNb7n7AF6oMIUg5/R3aXFMg5eemsKQkqIXslQOeKKPy9RtcykWUhY512Sx5DfddeK6sfG7HUO0iT9tQ4KIXSuCSFH2o66FTEMKsraBVbfh0S2uPUprDmbdNmEz9BbSbxeNRaxq0wlLY4jYhaPVDamPeXQXkyx52jJYrQakrdjp2DUladtgqRzsGXdUyxBMuSZeXWBc9CL8SLGQvjFSv1R9FbfFxO3yJC75Fy6t84WLG22sZQiO191+zq3FIoFqoDi/VuN8/e9X3TLddZxaqFir+iOnB79cqO2pdLCTuLZBpHhkqcyDV4to4PxaDSngzFyK5UrA6oSCNraiOiHn1417I7CkgWUb5OcsDAMurFVZqW79HkwEpvuTWNyT3Lu9ysGs09bf0cBS2W+KdwZBIZDogfoNg4Yn2YbgaM4dqh81Ti3LpSx+6BtupeKF/LdPnRv5OG96zpG+ZRZo0q6FH0RU633xhnN+Y4vOX9Hv0WlIdh48v8ps2uJSYfg+eqg0B3M2x/IOriURGrQA0aksbileq1vlG+6Ybf9wE3pvsnGiZ9aqvYOY6ps0rsOFJx7mU+95Jx+cO8hJw8QRAqN+vaekwf+TneIHc1O8728+wZ//+3fxtnf/bPNQUxkL29p8SqsprG45Z4u+sKtcAliphky5RrMc28GBjMXLT03ziWfWtu0cW7Fy7pGhtq+uRFx96kkO3XLrptsJ4CUnp/jCxcJIgWxeGHEoZ3N1i3FqxY+4fT7ddGEd9kwnpxxWSl6zzAC1FhfV5xyf4siUw5VaNNCxBXDLXAoBQ88FHMjaFL32sXDnbwqUIlSKlDn6NK7Wuu7cuxFyYErR1T4UvKAr+FiIeB7BtSS1QNUDszee+oofkbYNnl6tkHVMTClYrwVdfb2GKDZUuusZU1rx+FK5GZhbDSMEkLFNtNas1eeaWseaR3IOjmmQMo2utrrxzNuGwJACP9yegNZutq6RuymQm/R8RuOXpizJc47OMJsZPsizccWGuj0D9kX9SONHEdY2uwj3uuu6z+e7QRBFXF6pkUuZaA2FHgH2k6wZS+WA03MpTs1mydhm1/E773fDYbxRP/1Qcb1cwxDx82sIwWzGmWAJE3aaUEFI3IYbsncWw4SEhISEhISEhJ1ntRJwdd+Jg3eZZG0kISFhn5IIhBMSbnJaBQS9HEziyVldd4KNJ/I0sRuLKQWuITGl4OKqh2sY3U4oIy4+9BOV+T2+OLdcYbHocWwmzdNLFb50uUzGMTmYswkUrFRCSn5IyjJ4ZrXWtq8XKv7y8eu4piTvGE2B1oWPfI7jr39Rizi0nVaHi9/4wJ/hGhIvVE3x8fOP5bCk4HMXCtuaZvT5R3NDiYNbec6RLIWn1igPmE5yKyqB4n9/7TpvuGOe9AAurUqDimJh6bEph+NTdTFDPf3mlaJPEGlOTDuxU9EWv9OLNF7Uuk379lLEi69eqAgihR8pwi2ch+dSCneMRdjtYK/o6ZTWBJFuLvxXgji95HzaZqniM50yWdshwWMnApjL2KxU/K7UljeaW0kjza5ryjGclmMuFWs8dLXd8S2IdJdLVCfXywEH6iKBBjnHoORH2KbEkqLpYD4Ue+lejfjcXSl5LNaFeQ9cKTZdvxsoDWfr742ZlMl0yuSZldrQp9sr9VoTuwsfzqWYy9icW60kIuAbEFOKiQnNEyZP3ukW5pT9cCiB8IVf+B+c/MF3bupYCxtN44V3/9stj3liOo3cgQwMDWqhwrENptLW1htvwvVquHlfvhwSlGs8eLGwyUbDceuBLKURHrErRZ8rRZ+DGZuyvztZTRpcLfoD9QN/6/u+mV+ZO8ghw8Tu8TJL1x0Hf3x6hp/6yl/zsUeuN797wS2zqC0EwqPy/KO5TYMdx6XsR+Td3sd//tEcB7IW59c8Hr5Wnsj5ZtMW8/Vn4XrJ50DWplYYvt/4r971Zv7rH20uLJZC4Bjw9SfyIODxpSqXhxC8X1j3ODOX2nK7xXJA3jWb4+9hWS37fOxr1/t+/4rb5rnv+AxCwG9+6SKVUFPdpE/jmHLkslwrdV+fP3rkOncfyjT/9oKISMOTK7Wm62fWMphNWxydijM+2YZs9gktKSgHEZUgYsqxKPkhRa+7PWt1+dwMo/4sNkTUq5UgTiFf/15QD7514ixOW+GFEXMZEz9QmIZAirhv0XAnLngb7YdfjQNQGzRugyUFy9WA+bQgZXY/T6GKBYd+pCHSuJYk6jP3MalejQCCvRLhuIPkXZMXnpjFtYZrN0cSBtcZZp+UZRJu45hkr4iAe6NZqwSs1p/z9U3fzZMdVN59cKrpkN7rPmut8UNFsRZQ8SIOT6ewzA3X8C9fXG9u65iS19xxcKLlS9gdIg1RFNc2sy4U3ivzGQkJCQkJCQkJNxv7Wxw82ZGYY0oWcjaFWkDQokUR6KaNRuNT00g6sAkJCfuTvaV6SkhI2HFES/+pEfBkGQJLCiKtCSIVd7F0u9xS6XjBJVIR5wtVcrbJgazD3QdyXCnVUErjR4rq3feQeeiBiZXX77HY4keau+fTfOVCgTMHMlwrBxwUsdNMoRawXgs5mLV5ZrXGLbOpptjt1LTLoazFTNpmuexT8SOKfkTZV6xUQ776wY/ykn/6HUxfPd+zi1k5eoKLv/S7vMKAxkS6brpPxf+4ZTbVFH9tB6YcPcV3NVC88pYZPv7MKiVvMotY1UDxufPr3D7vMuzigq7v3yBfX5Qv14XBZT8aKx2m0rGodTNBcCdPrlS473CecLRT3pA0JvH7TeAvVeLBpBo4gnLyA6mMbbBU7jOo1eBaOydQ2slhYsqSKK2bouFhCZUeSWT8+FKF+fRU0wFmJmVR8WMRQzVQHMzalP2I0pDBDHspCHdYf2atNau1gD9+ZBFvQFHeajVktRpyZm7498ZeulYNbGlwejbDY4ubpxnf2wvqCZ0YMnbDTthfmFJgd0xcBkr3bzvO3MHKW9/B7B/8Vl+RcGPX9Zd/I/qVr+l7bgHcPp/B3Gbnvu1ikPgWscnbfj5ro5Qm0pqqH+1I0MReaFMH6f+c+/Kn+Y5MnoPS6CkObsUVkh/Jz/AD730L2fd8GIhdQWub7jU6O5ExxJSCN9851/W50ppqoDg57XJqpj3rxWIl4PxqDSFiIa4h4vrXKG6cDaX9qdVojuVdnLro6uS0Ewf0jlBRAn/wK373wRy2IbllJk3Bj3hiqcIDVzbvE+wkg2QKamx3Zsblc8+sIl2HnXoD1iLVMxD44lqtqwxvuH22qw8/m7ZYqTsZlzYZPw/eh9zYMOsYHM+nqYax6BjivsEgz41TDySWUjSz5ERhQzoouH0+iwBqUcRyJaBUFzVHOhahmlJQqAWkLaPuDKvI2Wbfc7f+vO3qL9umIIo0UX2c2RkQuNfodaVOzbgb2bvqzKTMZgB9o1W5tN7eBpgSbp1Lc3I2g2UMPsYeRxjcYJj76YURxjYGKe2F925vNKVaSMXb/sDtE9MpMpZBo4al7NjVu9e10Tou13o1aAacm1JgGoIgVERKo3T3c1T1Q2zTwEisZ28INNBoLg2x+TxjQkJCQkJCQkLC5FktB1wdIYPZXkEOMcRzTLllBgvLFFimgSBsy6pkSboMkLZzfJmQkJCwnSQC4YSEm5zWDtF8zsE0YLUcDpwO1JCSE/kUTyyXuFZP0dlK8ad+iczrXzRweTSgNulYWYbAtSRHZlJcXq1SCxTfeM8B1soBtx/McuZwDtMyCVW766VlCI5NOTy1UuXW2RSR1iyVA/xIcSgfUfJCNIInlioI4HRdSPwH//KXAchevcA9f/Y7GCrkwbf8fZ7//LsRCDoT3G1MZsb/OD4Vu7hNWiT8ouN5ZlPm2I6hlSDi609MDbWYo1v/IWIXqi9cLDa/v1TwmMtYzKX24itm8xHAfYfzcS7mtj00Vouopt8RIq2bC+8NNGAIsWcWCddr47nJOabANiRFLyJQ/X9TxjLqdaplkbFUIvN//gCA8hvfCtnsWGVpEKe3jdPdCyEIIrW5CFy0pw++0ZDEAr6d1O8FkeYz59e5YyHNiSkXKWiKYmdTJtOuxbWST94xAT2wyF+MIx2d9CrtkMerhYrffODqSKfyRhCPlf2I337wSlsDJYDTM2nuXMgwl95IA72d7lmdmEJy76E8kYod3i+u17reW0Zn5oFdQgiI9qnb8U6uo9rG3he+7An2WFU6lE1xqOO166uIZ1Yrffv8xe//xxRf8GJO/Pg/6vm9JnYO3kwcbBuCE9OpfSsOHphNHsJTR6c5nLP5oy9e5N6jeR68tLXT8I2gjRhEKPip934PP3rgKM6AM/oaeLmALwHHZ1Nksy61yvY4Je+EQEWKjUDIXlSC7u/SpuTOhfTQ55pPWyzVr9XdB3I8eHU0x2tpDD6+W6sGWIak7Ed8+UqRp7fISNHOYDdgpNukNa7WLK/3rzsnZlIcnUlhyjhzUtGLuLJWYz6nyeVS1JRmNm0xm7JoNPhCwBNLkxvz338423OsLzq6x19/cqp3JqgBzzN4UOfGcRcyNpFWLJd9ih11uNHnTFmyWQYhBKl6gOZyOYiFoX1O29hLICh0jOla/y54UXOk8PhyiZPTadJjOIqPE7BmSEEQxnMBg/aR9lo7XwsVyx3tacY2mp+dmnGphao5Tnn2oSx/577DuJaB7CMC7cUkhMENhgngfHSxxJm5NM4Qbdig7M1gx9iZd6no49XbEdeSW86DDF8vN/YwJG2ZImb6ZHCo+SGrlaCrLKHSnFuqbDhydazee6Hir55YBOI26Nb5DIaUpG0Dp4eDeML+ouEqLEUsFk5chRMSEhISEhIStpf9Lg6GeC0nVR/nDDIm22q8HtW1AU5HhmTdo1+698aACQkJCYOxF9VbCQkJO4gUjein+O/ptEPNV0OJP4QQWIYk6iNWVZaFDIKBXXou/Mwv993mOadnOXowz1otZH4uS94xYlcTx+JI3uVaNYJqD6ed9Vi8fMdCmqsFj/W6QG0ha/PA5SKt2ggNXC7U2ib6S4eO87nv+BHuWEjz/JxdFyNu8YMAEByfcjics7lc9Hl6pTqQE9lmZCzJlGOMLQ5uEDvvjG6R2yud5yPXy3zd8XzXpP64jPqLBbHjkNaamZRVT7XdfSO0jheBuxn9pqWsvTOrPYrwsEHeNQki1eUs1IuULVmtLybO/+gPkHnoS23fz//qzwNQfvZz4Rd/ZeQyQZwCZ59q+rYFscPi4AZ+pHnoapnlSsgd83Fa6GnXJO+a5ByLF52Y5osX1rANyXTKpLKFi+LhnNPnWRyQST92Qx6vHIS4phypnb64FrvdB0pxvegP9NxqaAp/Wlksr3O97PHNdx4Y+90zKnF9FDhGnGng/FqneGZvPMCrVZ9Lhe3yokxI2HvY0uC22SxfWyz23+h5L+L8Rz4HQP5n/x2pRx+iduZu1v/JezY9tmtKFjI2WdtsE4vcqEylLbKO0dOl88xcivmMxXe//DSPXSlwYsbl/Ormbc3eaBXHY5AhwDels0P91rSUvMpN8SUg61o933uTYu/03idDoDRzGQuJQGnNQtbGSgmC6nC17a1//58MvO2VYj14WMOT25hRZ1jylqRc8Uk5Bi+6Zbb5+cFpl1qgMAXccTBN2rE4NptGKcUrbpvn7sNZFIKCHzUzkvzxo8vN/Z0h00sezNpkHQN0LDB93Ku0fV8OFI4hCTcJygT4wsUCr751pk0k3Crs3Iz5jMVyebjnSENT7D2fsboEwsuVAEN0L7x1iuH7vRk08Mgm76U7F7Jtru3DiTP7bzlquyvrBdAwXBaXbWpkRBRx4sHPcM9f/T7565cBKBw4wle/4W2cv/fFaGNwIaUU8X06PZviyfo9f9UtM7z0llmmU/bgZWr597DXWWtN0QvIOxZKa2TdQXq57HOt2G1QsG30uV97SxysiSJNsRY252Ja8QNFypJ4oZrYuHCt2rv9iI0d4rqmtCYIFZYpWSv7rFf7B3O3FWuTZ2Sx7LPYkjFqIWNzYjbNdMomZSVi4f1MnPktFgkntzIhISEhISEhYXu4EcTBEK9JUhcJT8LQpBHIbHYYqsmWkZ8UjaC2G23mMCEh4WYhEQgnJCRgSJppGwHyKYtqMPhkuxSCo3mXJ1cqPb+/8Eef4kTdRbhfl6kxEewfOQZ3Pavvuda8iLW6c0ykdDPlIcDBrEOxZWHtQNbm7gOxw5JS8WICWnM4a1MJIlZrcarTXhzK2tx5IE3BU1wv+Vwt+kRaM5uyEAyfdtaUghNTDiemHAKl+dQz60Pt30o5UDy2VOHMXGrXBF9bEUSaSwWfk9OdHsvjYXe60g6IFPE9CJVGaU3OMVmpBrimxJSymRp1O9gL4wStNSs1v/k7p10TL1IIBGk7HuwoDRU/IlQa15RoIGUZVPwQ1zKwpBg4rfxSOWA+Y5F6+fOQ9VFV52XQQOahL6Fe/jz4088O9XtSpiRlG0gRnythA7Pezo0kmp5Ae3K54OEakjsOpFirhUgpmE9rwlCTtgyKfkQ1VMykLPw+C4p512Qh4+yK0HlSzKVsXnJymv/75MrQ+2poOuAbUnBL3dF+FObTFm++Y/fEwZ1kbZNcXUS3R4oExOlME3HwYFQDhW2Iemrfrb3bOoUT3R79O49Suj0AQfT851gUvYClyuYTrZrYcT/vDC6ymTRCCO6Y77AWblyETnvH976v+c9DWxxXCrFnhME7UcfKSI7OpHjsaqnruy89tUJ+KoUGjk6l+PQTy90H6EAaEoYRmu1BBnmWFqTRVyTYj6m62/AwaQQTaMuu0RBVZeayrF3cJECgAzsnefM7vn/oc/dyWpkUozwlhVCDbXFs2uXc2sa7/1I5JO8YHJpyqSlBxQ94crEEKJYqIQfzaYp+wEPXykC3AHZYJ96cY3J2OZ6LmOvhtHm16HE03z2WbvTxZ1Imzz2SJ+fILqdd15SbulO3IkR/N9+tWCoHTLlmV/aWgcYhfQWX7TvnXROrHnEwl7aRiK65mMGr2GTlnI35hVEWIrfjsZi5+BSv/fl/junXsL2NsUOqtMbMpacJHZc//6GfZOG+e1BacyjncHzKQWmFFIIXHMujtObCeo0nlyqsVnzuPpjh4WtlTky5vPMFR5kZUhjc6hY87G+u+CEfe2KRe49MoTU8sVhiyrW4uF6h7A93zW+bz2CPkM1gNmORc814LrEHu/+m1iilqQURVT+iUOv/3CvidmsQJ+HNkAIO5hwkNMeYGrBarq/WsFbxUSp2/g0jhWEI/GH6NkNs2hAMH8w63HUoR8kLWci69fFKwn4k0mDqvTGfmpCQkJCQkJBwI3GjiINbqQYK0xBjZ86M50Y0EkhbEgV4gYrHFfVjNwLaolEnUhISEhJ2mUQgnJCQANRT0tfnklO2MfBCkdKKchARKIUU9BUhnf/I5zj++he1LQJ3Ls9Ub7+T6z/3PzY936kZl7xrUvYVqsXF1zEECxmTrJNlyqkvNrfMJDYnhoVAoykFqq84+DVnZgGNF2ocI3YAPj7loJSup6+TaA2FEUWl5gQmOM+teRyfTmHtgcXxrGPwwuN5dL3CaA2XCh5PrVQ5krebC3qTYK0aMJ0yWdvEdaQXkabDRSnCELEAdqUSkHOMWHy8SZ03hCbQGq3BGED0YpsidhPaA+MEjUZrzVzawgsV67Ww+VN7pS8u1ReUGwvLlY4FpJmUxVot6Pvb5tIWqVe+AKl134XAxudSa46/6SVc/dNPk3ZMSrWw76KyY0pyjsFaNaBa2cfq0W3EC/XIzkDzGYtjU07TcX0YMraBIeLo2qdWqwihydgGfqSp+IovXCxw61wKx5Q4hmC1jzgY4vTBV4o1juRcBjHgtQzRw63cYr0aECo1lnN2g5VKwHymkfI4RmkIeri6aS34yBNLXC2OP9ESKc1TK9WR74sfKQp11629gEBwcjoDGqphiCHFrgvBpYSCv31BItvN6Zn0jr9n/EgjlMYxRnPJ3mAPvCBh4sUoByHrtWDTdq5BxYy2bKtztomxjWpIs9+xB+y+GWJAMdgITKIHOe4xBpWTFfv0TR+/WiS7WmU6Y/HYM8FAxyqNLQ7e/WdrkCwiKSmHd5MEXveco2Qdg2e2cGIeh5tBkPIff/tv+J5X30HkD3YXTt3RP4h3txBjPOG97nHBi/jq9VgAfLnoc8/BDPO2ZM1TXCrU0MBqNezpXq1UvIBEfaEonzLJ2RtTrhqa42WAlZYgkl4ituuloEsg3LrV84/muW0uw5Mrpa7nyItUT+FuJ0vlgLm0NZDbcC9yjjlexo8eaAS3z2cQbIy5hRATcgSarIOwIRlorLITqKee5M0/808wapWeT4XtVbG8Km/86R/mY+/5AIWZw4CHKWOH4Iof4ZqClUrIiZzDY08uM5uzybsm//hlJzk+nWKQN2ozxohRrmnsfrtU9livBlxcj9v4r1yOg+tdU3J1RNfgtGm2uWxvhmUI5rM2rm2w2W+enNw8PkqkNGEUz9tESuNaBoYhUErjhQovVFT9iEgpbFPG4ttANbNsuQNODm52Fwf5PVLEAW6O0X9JKVSaqh+1uWpHw/ZtRmjer5U8rp2N68iJmRQnptNMp3cvEC9hPBpOwgkJCQkJCQkJCZPhRhMHmxIsozFvQF2LoKkGo43UlNY8vdiuG7GM3lnSkm5qQkLCfiURCCckJADtnRkhBCkzXoDZqhtV9MPmxL1oOY4UGxPmjc+u/cXnEeUyB97+OkQQd0I1UL7/+Sy//z/Hf2vdbmMjWpYYtGAmZZCxu50/ZtMWK5XYEXazRS6N5qkVj/Nr/ReUP3NhjecdzZPuSA8vpaAWKmp198uRmVDP8VPPrPHa22YHdnXdLqpBRKZjMeL2hTRXij4rlZADWXOsxdtWJrn+GOlY9AdQ9CIg4kgu1Xf7VS9grRqwkHFImZsvvkjBhjvKdqlmhmCp6rNYmtzAb7UakLENlNZYhkQK2kTbqlhERtFAd10ARhRx1IELtQiEIG1KhIgdo4WAQjUg1DQXxhI2pxooHFMCmkgx8GJoxjKZcs2hhahSwAuO5gCNEAKtNUrDg1dLzGds/vpcvKjbKqZ4851zmzqbLZZ9lso+9xzMY4iNyNzWczrmxlunUzBgCMGtcxmEgAeuFIb6Pb1YqQasDCD2AziccyciDm6Qd4yRxRcFL+KDX77C15+cZso1mU5ZnFutct/hXD010s7TeL27poljiuHSMW8DgnhBfm+lCB4c25C74hCtddy27Nfrtp0sV/yBMxPUQrWle/Vt8xn2coZdKQXRtvV1dn+6ddBfttl2JS+kNGCdODmXRrWNoIZnLzyTg5ThzMJRzNLawMcMtSZCs1QJsAyBJWECGQR7IndCIbzL1TubzfL3fvg9/PrPvBe1xeLJ7LE87/uVj4x0nkZvbTvqZTWIuHUu1SZKRGsqXu8+Zms5wiDkUNps+8IwJJfqfbiL6x63zKb4yNklltXWwjsh2oMqF0sBiwzWd+y12FTyQhxTto19hIADGYusbeCagvPrFUwpUVq19fdLfX5/J/MZm6XyYH3WKdfiQMZt+6zRR+91b+MA1Y1/d84HNDL5QLwIp3U8FxQogRTdbz2t48U/vyM4r3FcpeN5mvjRFY0Tg9iwOK2GjfkpEZdNbDyGrmEMnSUqbidGq9liwk9F7V/8U0xv84wjAjC9Gl/3397P//6Rn6XgRXzteoWvXa/wxjtmWSoHHMjazKVtvvm5R1haq/GGZx0eyIW10y14cOIKFCjFp55a2tQZOFSa+YxFqPRQAeO3zKYHGg9PpUym0lb997YHhvYp+ZhoKl7IStmnR8z2pvSaAxy09m5W7kEeAdfcoV7pmBf4/GqV86tVzsxnuG0hl7gJ70MizZ4eAyUkJCQkJCQk7CduNHEwxMHWneuCKSteFx2FXsPGIKKPUVsyvkhISNifJALhhIQEIJ4INlscUCxTdrmGtmIbAsMQmNJmapjUyHM5+NwDbR/liFMVXyrU+NDXrm+6+6tOT/fsd8lKhWN/67UYlTi6q5EsWVkWF377zyCTAeDhaxWWypsv1JU8xWfOrXP/kVyX8LVBqBQ5x6QhwKsGg6dLF302fMnJaZ51INtzgbAfkdacXS4PvsNO0ZJqcFLiYKgvPO2S6iFv2+Ttwer6bgsztNb4KsISkkoUUR5wkXgYGuLOxgBsJmWyXA25su5x9Nu/cfgDvuZliD/+FKHSVFR8bGHHC8b7PMv2rtAqJkjV27FBXLdGeb6UhuvlgIOZOHBCCIFrCr7hzCzFWsAtsymEgKAuIHMMMZDQWwMPX4vFvXkn7rJmbJOyH1LxQ+45OEXYw8EX6rr8+m+591Ce82sV1rZwUZsUD1/rTjE/DpYhuDKm4Hil6lP0Q/7s8SUiHbel9x/OT6aAY9BwvPZDBYJdcROOFORsi2cdsrhe8rhWGs2ZbNfYxbmoSGsMA8LJv2ISEmL2wFzroBKumYzFlfXxHW0PTbmE4/7wPdBvMgZQGX3xp36Xqe97NSfMwQIvIyA1cwCAK0WfW+dSPLm8uSAuYXPe/I7v5/iZu/npd3871dUIOt7DzpTklnuey0/84h+OdZ47FtI8utg7e884XCp0v7OPZm3++EuXRjrec09NI1rmNj7x9BoCyZGczeUt+mJjaEV7BoKFGhbLAfNpC7/eQbINyWI54Ho5QEhB3jH48uUSt82lODbldB0j5xj1QNje1IZQJaYtk85ud6PYvZ520aK+7eX+G0TdIkfH7J+SqhYq1ms+F/sE1YzjhAxw90Ju5H03o1EtHDMOqm06vo7QzCulmiLmRhiJEAJ19nH0M08NNJCTWpO+8BT5K+dZP3yi+fmXLpe4eyHN6ZkUCsHRU/O41ubSvDZh/lDEwaRlL+ShK+vNoO2tCJVmqRz0nS+LM5PEpZEC8q7JXNrG3cTp1pAwn7VJ22ZPdex2vU6DKOLySq2zyR0ZAQMHUmutcc3eWUBaXc57ZYiYSZmsDijONuTeCCM8u1RGac3dh6Z2uyg3IfH9bwSAQNxmNR41pWK37IaA37XaAzWUjve9GbI6JCQkJCQkJCRsJzeiOHi7cE1RDybe6IT2HtXs/lgnISEhYRQSgXBCQkJPtpqAM6Sguom7x2a4pqDWQ/GnBljQ+NKVEoaMHSobW7/x596N8+UvdG2rARkEnHzbqwmOn2L1136PFx5rX/ixDYkfqabrZYN+i9qNLeJNNxYfso5Rd+xsuGfGCiwvUNQCxXTaohZEpCyDtQ4XSscQ/O1nH2LGHd6V2ATumM/w2NL2i4RzjoEAyoFqLrykLYljSVYr7YsEjXW9mdRk/R5SlrFlqtSbEa01kdYoNKtVn7VqOLBr7KRYrYZIYDplYoYjLM76Po4pifyoHrAQP4P9AhXS1uZBDAkbNBbkU7Zsa7dLfnc96bVQ2IuFjMUdC2nCSBMozZWij9Kaw7lYVBFEcSrU+NTtx+zV/m9Foe68WPZDHNPANg0GHYRHCo7m01hGjcUBXdLG4asTFgjHLk2jt3u3zqU4kLGQQvCyU1P1LAEGCL3hoLaLNAUjOg4+8ifkRGpKEbu5R7HLrWNJIqWbQvVOlIKZlDWyQPj4VApz2ByodXWHF0Zdz2JLN6Pl73rfp0WRYcq4H9FfaaI3vhEtU1vDFLWR3KGtMPVDCAh3OZPBXmPSa9hKaZTQO+NoOgLb2YTshV886O+bnU7D5eK2lmU/YQ4Y8Zg1bXytsLeo355WKA3/6/2/NYnibcmOPG56L9RwuO8FL+eDf3WBUqnEe773tZTWlzAtm3d8/7/mNd/0rRPJ3pFzdm7qcZw2qT6E7zpeukcGo07GcZPtN2xbLPvMuPG1s6TgE0+vNc/QKo5/Zq3G7QtpKh3ZOTYTB0Pc759NW1T8aOAxwHbS6xo65obbr97k+gZjjH0bQttJ0QimV0rjhToWBtevr1H/ieu1gKdWNuZwOsvQ9mu0JtK9Bd9SwNTv/S/yfjDwO1NGEff8zV8Rfv+7WMjEAvTplMUtMykWcilWKh6fP7/CC0/M9hQJD+MWrLWm7IeU/RC/ng3omZXKWPVNaZh2DUDEItR6gZTW8ZyEiOeNyn7EySmTXqfKOgYzGbved+++cps9zcM+6RtziJqnl8ucXSqRsgyO5dNDHGVz3B4i/H4IAWGf8dDxfApdn9N8dKmEFBspeyUb7uTRAAPIcaejQqV59sE8UggeuLo+1rE652AblEolPvhr/50777qLV3/DCEHuCR1oakHEYsnj8nqN2ZTddIrfipQlSU13tzeRBnNvdJcSEhISEhISEvYlq5UbVxzca1ii6c7SJIizDsUalI6ZBV2fntNx7iMdiPrYfGMrt4eRXCIPTkhI2K8kAuGEhIQmrX2mlGWwtokgaRRBkVtP7VALYsfAINJtgphBUr51ikNf+Z/fg/3VbnEwtDuaWBeeIf8938a1D/xG2zZBpEnbBoUJiE43W4BruKJUAoVlCN585xyRAj9SnJxOkbZGb45tw+CuA1mCSHF+rToxcRXE19CQcUrRxjWadk2kEAg0617EaiUkbRm4pmStFqA0ZGzJm+6YI2X1EnuJpqio5T9t9BJim1IM7FayGY4puW0+w6PXi12LRZcK1friYsOTp7Xs8d9tjsiisZjXHlHY+IyOvTd+TUyk4MFrpdhRo+VL3RikNERY9eNr4mcmVBqlQKF52clp/CjaM2LZal38Ococ/pG8S9o0m+2CQvHI9d5iyyDSTLkmlhTopkGVGDhN7s2IUhv3xjYFJV/zwNUiD10dXtB6+3waSwosKUgBeSfVtU3Zj8g7BoUJOljfdSDffP8Mu658OOcym7K4uF5Dac1C1iHvWE2X4okhxMhW57KHcVrJ775+lhScnHGbrsjVQDVdvVsxpeB43m4KDhr/rYYRX71W5L7D+T3l/moYAhFtJv/os58AKQVBpLEM0da/aLhf1eptpGMKpIhdrDuvtW0MtoDZi9mUPXJgxlzKHnhRvwsdOzEPKNMY7RybIIivqZdYvW8bT67Erpt3L+QmKmCaFHuvRO3sVM2sTrD/PS57oSSDVtUP/+JHePv3vyYec0BPIbynNULD09/1j9scIrez7u1Evd5rj3M2m+U//tant+XYO/lbxRhPwDhBU+P8xjBSbXWuUYwDGaspxDMMQblPXyGINOu1EKtjPmU+Y286NgqVZqUSkHcN9moMrhSCar3Tv1k8UqEWkrENHFPgh3HAdto2tsweBZNtMwXxdW2dA2ntHjbqWBxU3lmQ4UuiNBjXryLU4B16qSLMxWsUgojpVIq5tI0UkHZMNJBzLA7nHD5/bpnnHJsh51ptcxmblzLug5e9kKuFGk8ulZuholnb6DmuGZT5erYarenrFu2aEikEZT8iZRptdUYCczmbjGNu2Z+alDi4wUrZ59Hrhea8oGlM9k09iNmCa0qE2DyrkBAyXjxvHrefM/HWDZ5SuufYdhhUy6TYbXMZaqEiqjsgX1qv4tWfs2NTKbK2AQIur9eawcUNVioBZxeL3DqfpfTJT/Khv/02rqiI5UhxOQr517UKxfo1/LF//h7+5b/5idELfRMSKcVKxefRa8W2OfuZ1GAZ2OayFvmURa96Fal4PL/X+kwJCQkJCQkJCfuB1UrA1fWba7201me8c2GtymqfwMFW7lrIdfVKk65oQkLCjUQiEE5ISGjSup7kWAYpS6KJ3SU6RS9eqEhZ8eSxF6m+izWGjIWNphRtHbNqoHBM0XSj0Oh4QndITn3181tu05jEd59+ouu7UGnsYR3/xiSINEG0sTBybq3C7fNZDDGaMElpkEgytsS1DPxo/NW9lCVjt95qQKjaF2Aa/3ZNSd4xWY58KkFEpZ6idMo1serXdLUa9kyZOirTKZO1MUTCKVPyijMLmIbk+EyaTz21TLFl8aDkhxMVWG9GJVQUauHYqZEvFz3SPSIYR8WUgpQlsYz4+S56va9JypIYQnQt8jlj2HvcMp/l8urG9ejnlthwGS16YduCk2vG18EQsVOZYcSy7Ubb40eKrH1zdn0k8fVMWaLu3qTJ2hYvOzmDHykeGzLt86A6StOQxEnBh+f0bJqsZba5lo4j3IgUmNLg9EymecwBDQ6H4tSM21XOp1eqWy4mn5h2WSx5ZB2TKdckZRmx0EMQu8eJuO5LBFdLPo9cK1OpL9gem3J6CoS3ckSL3aP2zhRH1VcYMhbqBpHqKwIXQNqWhCr+d6RU0xm40yG4s/lqiGmlqLcZdbf/+LiCQboEbZvUBeF6nMq5j9GM91wm7H+S+x8ziTbgtgNZQnOy2TeGZTZlsTLAhPlWDON4/Xv/5S/4tnd9M9qvYWhNoDVagIHAACwh+LPv/zdcve/FnMw7LJb92KF4G19fYg+9G28EnB0eb4/KV86vIUVcf6VsBMsKps35Lfcdq4+qewdHffFSHMQniPushhS0dsFzzobg8osXiwgR9/lblVStmZeUijN/KB0fL+5niuZ2rb9F1IV9kYr3v3U2U89qMQID3v5ewsXWzyK1eTBV2Y/QeiPLTMo2MKXYMoBr2PGAZcTzW36PjqpVFyj3w27OoQ13zs3Qjjv0PoHj8vC1Mi87NcP1kse1ko8UcCjrYEiBbUpumc2wXPJxTYm16b3XVPyIi2tVnlouDR3EOQjTKXMgsXerM3E1jJByQ1h+cMrBtWPn4c3YTAQ87GMeRIqHLq9zuVAb70BboDap47YhECKeCxl0am6rQItB3vG6T7s2LFrDvYfyRCo2R2hw21wunpMQtAW8np5J89hSqcul+tEHz1L5zrcQaMUdlsNzROwMVlWKH87P8H9rFf6/wio/+e/eyy/90ge4eGVxAqXfi2iU0tRChWPKulHHsO9oTRhplsoej18vdQmyhyHnGn3FwfGZNuwbEhISEhISEhISBmftJhQHb8ag/UlDxnMlflTXjiQd0YSEhBuMm1Mlk5CQ0BMhNpz2hBDkUibXCz6G6E77rdlYrLENgUJjyHjiuSHOcUwRi4t1t8AYuh3v5JA9rW/4T/8sLvcgv61+psPvfAtXPvhhIBZCDuoqMykMIVAdE+VKw9nlMrNpi2nXwhRyaIe4UCuurnljOSGbAqbTFl6oKHrRlm6GtVDhWgpTQsoyWSwHXC/5ZGyD9VrITMqcuGDKC9XILiSzKYsXn55rXltDSl5yeo6/ubDSrIZrO2iddG61xtXi+AO0z10o8LrbZiYibG4IsGM37HiVJW0ZpKz42Y7TA8Z2x6vV2C3akqItpastJUpKpFLDPdGGgWVIbFM2Bb1Bj9XFtCVxTYOV+vlbccx4/5IXNu+lZcRpaUOlsaSg5O9Re6xtRtF70b3sR1xYq3Xv0IPG+wHgq9cq3HsoM8ESdiMYPzVpL7Zby3Ziyun67PxabUtxQiWICJVmsRywWH8vver0NGk7ThmrNdTqTkyXCl5THDyTMrm47o1U1kvFKsfyKfQeSXMO8SJ+VcVu+ykrLpfS4Ieqmc7JjxRRPW3zqChN18JxqDR3LuRHOp4U3WLkm4Ug0iM7qiXcCGiuV2qtf8bUm5Upx8SSsaBjGNHofuQV9xwEwK8FfObJlaH3Vw1V3m4yodMPK7j7zZ/9QwBe+1M/zKGnHwE0kWnzwX/+y3DoEAezNgeBc/U+y+GcjT1g2urR2H45yo39NLQz/Pth994oStefxXoXwTUF4QBvuXFKvFV/V1PvY2jdFnY3m7Yp+w0XzeFKoDRD7bcX3vGDlCFtm1SCeIzt1+cOtmKzuRdDxGPM5rkFaNXfhdUQm9eVxjg3muA8Se2+55H55F8hq4MFfOp0mnte/ypSt87GLruOxXIlIFSaWqRYKQY4puDuA3m01lxcrZFxDBxT4kcR59eqrFYCbEMSaUXZ3/5MRkUvwjVlV999GNaqAbIWsJBzN73n47oHK62peCHXSh7PrJR71pVJvurNevaUBpZBM02u1mw5T6S0phKEzexYIAZyJN4SIdAjDOZTjeD3lgve6xpq+mUUEgSdDhZXr3LyO99CpDWOkDgt1z9V70u82k3xbMvmO5avs7y0xP3PvouvPPTI0OXfHTReEKdMdq24z621JlIaP1RxYIjSaE1zzvjcepmSt2HykHXiTHG1MMILFJFWuJZJ2jbIWAaOaRAqRS1UXFir9gyQ6GQQR/+pTcTBDUIFI/iJJCQkJCQkJCTctGitWSzunO5hPzDoyCRUGtcUpKRojkMaa1Rtx9sLkyQJCQkJI5AIhBMSEvqSqs/ARRrsTZQvjQnnhrtMxpYoYheLYcQyxpDOQsce/8pQ2wPY1682/z2dMlkfwSErZclNUu3FjoSH8y5Pr3Qv0EynTA5kXCphiNKash+xUl+MuV7yuV7yWcjYLKSdoUTCa9WA5THdvqJY99nmQukYEqsu9DakwDUlodLNtHFr1ZDZtMX5tRp/c6nIq26dQYo4HaoXaTK2UXek2KDkRSOnYa8GG87VlT6LcqaEo1MpKn5UdxiD+49Ocyjv0jnxbBmS5x+f5ZFrBc6tjufkOyhaawq+mog4GGA+bU3M9biXcKcSRLBJ1bJNyZQV14u1aohjCp75bx/ilu96y3An/9BHeOjyGrUgwgsV0ymbtZpPypIEkSbvmqxUAlK2wXIfUf96D4F362JZsAuO4Xsd2xDcezjHZ8+vAzCXttocw599KMvpmRR5xyRnmxS8gOWqTzVQcRBA68F0+0A7FvhqplNxd1MKQaRUV9t2OOdiS9k1SBcdbkD7mecdyzUdkP1IcbHgUfTiuu6akqNTDiUv6hKI1CLNnGW0tXeuabS1H6vVOCBjJmWhtaYSKK6V4u/NLer7WjVkrVrk3kN51JgOzZMmdttvL1Dr4vAEjdMnwjga68n4a+0eriW3DCpKGJ9Vz29qJfK2VQ/a2VkMGbdhrfiBZrHUv0/T+E4KuGtEAf5+QAhBqR60kBnRZXMighx2X3h6vRw030PD8uc/+h97fn6t5JN1DG6dS1EJFFcKHo65fc9A4iCc0MAyJNVQsdWTNc7zGylNzjEIIt1XAGmIOMAZ4veAH2nOLldYyNgEkeob6JpzDNKWMfIz2UkjA0NrwHg/mldsQm3bVkEmedek0jKXEal4DLlVQHivozbet5HuP++w05S8aEM8SZwxp+iFqFd/I/zCvx/4OBrB2XtfQtYyOLtcZt0PKXsRl4setUBx14EMOccgjHRTYF31I6p+RCkIuVKIAxOHFeuOUwvSlqwHMQ/O6dk0DdNpQZypBKDsVTiYd0g73W7Cw7oHa61ZrwasVHxKfkihFlLywi3nuyb5htFaN7O/SQGVEQTb59aGmwvbSviZGnFsIMXW7cpWhEpz14EcD18rNj878Z1vAa0xN2lDHCE5YAjePz3H/7O6yGOPPjpWOXYGjR8orhRqbGGw3kXrlVivhT3n0sq+z3J5uONahmA2bXMw52AKgRds8SwMMO/dmKfY7Ri6hISEhISEhIT9Qqh6m7bdzBzMOsyl4+C0OOsmLFf8trVQiMdX1UA1syTD7s+zJiQkJEySRCCckJDQRqsOOBpSdNjYujF5N6yznyXgZaenKHkR6Xpq9UBpovpEbjmI+PLlOM3mgazNsInQOif7IwXDzD2bUnAw6zDlWACsewFXirU2QZdrSk7PpJFCcutsmsWKT9mPiFQjnbmBFIKsFR8jZ2kOpB20AKGh6Ies14YX+s6nHbwwGssBVwPL5QDHEORciyBSVIOIkrdxkRri4awTp+tcq4asVAIWMhbPOZLDNiRpy2DKNbi47hMpjWOJNmfjnGMMvbjTSjVQpEzJQsaui9I1WcfitoUsliGwGnkGm78KNqsppiE5NZvZMYEwCM4uVcg5BrYhuwYgw7JUCYhULNoZlowd10dBPJE/SlnKfkTZj5jP2M3PjMOHUMQpbgd9Rq+kp/Fa7kFnXS57EXNpq+m61MA1JVnHRKNbxBzxfTeEYDplt3yUrCo0EMTiUdeyeNHRPIfrA2TXNKiFESU/ouiFnJhKtYn8Z1I2Gs2V0GO1Onh70xAe5x0TyxAUa2HdtQyUqnFyOr0tbsHbwW3zGcp+vPBrG5LrJW9LkX66RcSUQVL2I5bq7W0tVDy53N3+uKbkq9dKKJ0h3SIG+PjTq23b2YbgxLTLA1dKzc/OzKU4u1wdWI/x1WsFDCk4mHWZTVs3jDB7vyC2cJvb60T75eHdKbbpNdMQ5ACk58xdGcgLBI8ulrbesAdKw2NLsVhj0Boz7Q72K+fSVh+BQeyW9gOvPL3p/j17iwK00ijDiF316oayunUn0b6z0LELG1rz7CO5Rgm6ziX6/NsyJCmn/29ubBv/1G5RU4O0HffTK34UB3oNQS1QzGesLUqwOc+semP19ftR8iJKXrVZktm0xfEpu9n/081vuq95T1ruaVsPUsOUa/QUIAsh2jKkNKpdax1q63L2MCLW9Q8ktPWfB38yWhYpxGbay8m0zTlnQ/AuxXDOkl6oqQQRtVBxZi4Vf9iv0PXr1eijnplLczRvtwc7dUai9TlM+gVHubBWa7phtm3f8id03CLRfViB4Oh8vZ8qRMc5+1+Lze5NypKk6vVL18dimXpfr+SruN2oF2y1GvLkcpWvOzHVEuioWfcUX7lcJFKKo1MOzz6UoeRHzRKZMs6i4loSW8L1ks+JGRfHkHhRHOiHjsX3edckYxkIEfcrtaaZIaZZx7UmZUtqvqISKGxDkLLbnxFBXcRVvzJeqOK5oQnlGZjL2KiW4wSRbi7aCeL6ea22IYSuBHFZZ9MWK0OMc11Ldo05J80oQQidomxD1rM+CYu1v/udTP/WryJrm2eGUY7L4rd+Jx+7WAZ6K//++tx6/V/LbZ9LAa84PT10uSeBbRow4HvFNgR3LuSIVFx/HVOidXvmkWsFD9eSHMw7yCEDrip+yErZZ7nic63odQVODcQE+4qN7CtA1zN5o2NKQSUMSVtGc/xqGoIHrhSYSZmESlM8+3hdALD1RbeF4Nm2zUnD5FwU8ne+9W/zO7/7v7b3R4yC1pT9kKWCz94IX4jJ2gYvP7PQDOZYLnl4weZzRoNOz4UqNoNIpvMSEhISEhISEramugNZXvYCw8wy2FJiiPbxktVjUb1x5YJI45oynjdM+qAJCQk3EIlAOCEhoT8tnZ5Aqbb08v1wzMYC7fALQIYUmEK0iQHiRbD4mFOGyYGszeGczYw7Xn6x+YzF6haLRI4pQYNXn/DPOSZ5Z0OAMO3a5B2Tp1cr1EKFABayG4vUrmlyPG+ita6LF6FzJUAIUU9DGX8VH7OfyKE/huwWVI6KF2m8cm+HoYxtUPQjLhV8zq1UmU1bnJx2Wa/F4uTDOZvZtM2tc2kiXeLJ5QoI3bYoNwkdUTVUSBk1BcvTKZu03euVNth1zDkmx2dSXNgBkbAQ8LyjuebfH31qred2UsRC+Fan0INZm8N5G0tKnliqkLYNgkhR8iOmhnwm0pZBECr8CQm71io+8xmbpXrdufCRz3Hi9S9qft95J3TLf89/5HP98kM28SKFV9nYRgiYS1ms14LmOTvJ2gbz6ZYUlTchphQYcsNxS+k4ejhSrQ6tgqN5t7mPaxq4psF82u46ntaakh+SsQzKA4iO5jMW67WwKT4veCF48e2YS1t1EY3eN+LgrGNgCcmM6wDx9fRcxWKfOtiP+YzNE8vVpki6kzsW0hzL28ykLEwZi4hNKSj7ES88lm/Tp/QSn5xdrnLLbIpLLYLCzYh0HBR0YT1u1xN2lqofC20m5Qa/k9jGIMljEyaNF0YY9T7kVo6KoxJpxZViu9BoXMfW7XKvqIWqLQNGJ5nUzrVrKSsOAkkNKG7upJfgPm0bba6YMf2vpV+N+0uzaWtogXAlGF5U3MlM2qQjlmXiaOBLl4oczTucmHbiSfsm4z8TJT8Olupkr7XVacsY+34NQ2emia2ohorPni+Mfr6MSVr0aXc2uQ1nDud4otCjnCNWjeulAD9SE3OSfdahLJk++dKzLQK/ubRFzg44kXfQol22nLclrzg93SZw7gyqaNwvrTWvvGWKXhdgJtW7rUp1/B1Eqm2R0Y/01pNDdSbljq41m7oB5xwjzvak4vmovGvihaqnM2YnHfEeQ9Hq6hsM+J6bhEu51RLEWfjWd5JZvIL1l3/aVySsXJfSN7yR5b/17XCx2HObzRj3NvaqB3GAT/zvlUrQc0xoGYIwivvKSmtc02juUwsUqj6W1EDGMjgzl2lOLThmfyfbWqA4t1wlnzKZzdhtARCt83ECWCx7PH69SLEWDnyPN2WbXiNVX43g3rt33mnDYEh44GosZl/IWOSd+rg50lhSsFoNMQUc/75vH+64CN6ezvIfimv84Yd+fzuKPiIapWLH6rXKJOZ+Jz9+iLQmiBSmlHGQ+QBVa9BSRBq0irMIJSLhhISEhISEhITNSTL9ddM7I0z3Z4I4oB8Rz4MIwLEklrExihdiI8NTQkJCwn4jEQgnJCS00TrRZrT8EUaDpYmTQmxb51MA9xxIN/8edgFH1/83l7Y2XVjKOgZHcy6mNNBa4ytFNYwwpcA2qIu1Gh5VghPTaYy625DosYAZizgHT+kxrNBDClipjudCOygPXClxYX1DcGZbBn/55CpvunOeW2ZdSn5ENQhZLnrMuCZz6XiSPlSauYyF1mwq4BiG1qv09EqFuw/lhxZWbxxMcN+RKRYyDg9eXttKqzox+tWIhYzFnQtpTCm4cyEdpzSRou6YEf/G5xzJAnG6TUMIvEi1CRamXLPp/BrURe5eXWRomzJOGSrFZBTbQKhhqew3F/mKXsT5j3yOo3/n9Zjrqz1/a5ifRj/3eZx8w9dtjMaEoPKil7L4L94PZu9uiiHAtQyWthAobJdoaq8hRLxAbMi4IdJ6QwAcpxOCSS38aTQnp9NoLTClaLp4aQ2hUhS8EKXiumUZgvOr1d6Db2C5EiCAOxayEynbTjCfdprPoNKKx5ZKIz1Cjyz2duw6NeNyasZFEAcuLGRsrpY8vDBixY8DdWbSVrszo9hI9wwb7/GrRY9bZ1NorYdqGyek4UgYEsMQpOptdqT0nhKgbUajnJu7WN5cDPPmmf/RHyD18JdBg7ZtLv7S78KhQ1vud3E9Fv/cuZDt2Qa1OmMO8i7UPW6e0rpLVJXtI2hL2GA7eh7JpHN/LhU8LhU87j+SZdoxRh8L7Fd2+Ofu9OV95FqZI/k4y4Vt7N69XauFnJxxObe6uTvrtiG6BaWNur7pVWnEIU/gxo31ip9U/2CL42jdvhBa9EJsQ/YMvDicc5hNx8HdYRSnDzVGaGuHF2PGjFufZ1IWq61zQEIQ/NN/QeFZz2XqN38V89oVMOrv7CgiPHSYtW/7B1Re/o3oITN9tZxiPFpOK0U8X1HyQ7wwzraVsoyuuSLXlF39kV7BGxDP4902l8UQAssYfFG8UA0pVEPyrkHZizCkYDptkXZMQPO1q0WeWqkM/XM3o+RHfPX6RvCEAHKuyfF8uv9OA9Lq4r1bhCoWKre57Ou4b9kwXI607ho7jFrFFssBix1zvPOZeN5XDDlAsYTgLqs7UHqSfP2LnsfDDz+MlAavfcMbN3cp1pqqH7Fc9phkPFCvvv+4VAPFXzx2nfuPTnEkn5p4H0Vp8COwjUQknJCQkJCQkJCwGUE9wHIgBPihImztH/ZP+rTRD9tMoNGZ/anrKJuPWQTbYIgxYPfXNY14zNKyfdjTkTlZCElISNifJALhhISENlq7XJ0LSdVAbSkAUVpjyi3NQPuefZgFlvPv/RlOvuf/N9QZlr/9u/FqIdOuiRCCQi3oMr45nk83O59CCBzDwKkvroR1NxrLEARRLLqyNumopi05MaehzbhS2D7nW1MKCn6ELWXboEIAaVNiCPj4Uyu8+tY55jM2KVPiqXjyttVhyjEljinxJqS+7ayGbelhR0JwZCrFkbzLly6ucbkQLwC7pmwuFjYWNnTH2ZTWGFJwpehzpeDxvKO5vkLoQGkWy7Ew8nrHIkbOMXje0Vz7c0hcj/qRtg2WygGOIZjP2LFjte4vGvcj3ayTc2mL2oTV0I177pqS2bTFpd/5CADOn3yImd//TQBW3/ZtWGHI3Af+A3zsr4AWMZPWpD/7SU6++etZ+e4fpPitf7/rHNMpi6IXkrXj9M+mlLGA2pCYInYjl1JgCEnKks02S9fvndKgVHydLFO0pRvdy5gNkXjdjUVpTRhpIj2ci9c4ZGyz2UZ3Bj0YQjLjbiymqbYkwL2ZTlnIfWTvfGGtwm3zWQwhkUIykxrOSa+B1UeAkLUNBHD7fAZLGqzVfP7qa9f56KNLzW1OzqZ4x4tPdF3/F5/ID12OTky5f9xg91o5x63Fra58KVvuyPM8SRJx8AaDXIpjb3klhtfRd/M9Tn7nW2Jn/ff9HDzvRT33beXRxdKm35+YTpGzt3bPDbXm8aXNj5UwGDIR8+5KA12oRUw72y9gj8fHN2+DN+wvH/dpKHgRhcUKt8y6nJx2t96hwTbkf1ypBJgiDoocm/pLU7YurPWJ20xZsi6SjIM9g0i1dRHi4Mz2etlwQpVCMJ+J3wGdAdLTKZO1akjOMXDMjWdnuez3De7bKfqtL4r6OC9rG/XA4xDNxnWzTRmrx+oczbnk3HjceLXoobTm5HQK1zTjfrQG15JUW8ZSDZfaxnzPZqQsuW3O+FtRqPUafwjKr3wt5Ve+Fuvps1iXzgMQHD1BcPrMxma71GnLuSZppSnUXXhXqxuiX63j52E+bRFpTdmP8CNNxjFY3iS4v5WSF3G9VCNQulmHZlJ2VxrZfjSerSjSXC/6yJKPFKI5LzSXtoiUnljmLojrkBSiPuczmXdYLRws+1uD7agOQbQRpN4PwYb79ijBkVGPgk+7JpYhKfshRS9u30Zh8HwZg9tWlEolDs5NoVT7dfnDD/0+KUuQTqdZXi+jtaZYCwhCTaQVZW+b5pMn+JpM1527G2ErOoILKxWsAUQpujHJOmChNODVRcJJlzshISEhISEhoRutNSUvGqqfX/RDzq9tf3bdQTkzl2lqMjYjjHSc7a45JaL7mtj1uhxzKZu5lEVrP9Q2Zds6TX9u3rnBhISE/U0iEE5ISGijVevaqXu1DLAM2UxL75hxFFfDpVKIeDHKH3GRRAiBKSUw4AToC75+4GnExnblv/8PoWVSfyZlYUiB1pqVSsAdC9m+kWluXdwaKYgG7PxVglFS/A2OacBTK+Vt0REdzDpIEbuApqohQsDBrM09B3Ox2NeQ2KbkjZZRF81u4IUa3XEfTSmoTdDyonOAo7WejI2EEDz32DTHSx6/8oWLm7pN9+KFx/I9xcFaa4q+4oErpZ4LifcezjLXJ8XrZjSO5UUar+wPte92um7UQkUtVGTs2AnIe9O3cPVN3wJA+s//iLmff39chs4ytfx77ld/gSPzedxv+/sbi7/1FKKHsoMtNlQDtelgOAh10+V6LyCg6WAlxIbLzna4AW83Tw/gtDRVD9bY60gBeddk2rXb6uiBjMNqtXc63M24bT7V5XIEcHa5yvEpG9c08CPFQ5fW+XiLOBjgVXcdmFiq5k5CpSl4ATnbQjAxg/GEhIQWTrz+RRspyfpsc/LH/xFXf+jdePX35qhcXK9iyHbHy8bivWgpwHa1KePScMhv/Bva+3+NzyaVnWISbMcbzZKCUZI+7NbbVe9CP+WplSo5x2B2hL70MOy5HsvefHQnz9DK5MlfmLIfjRwY1ou8a1JoFRq2FDltxUGQjWe+VUjZSa/yzKW7yylFPPcR1gWaa9WQtGVgSMFSyxhyPmOjibexjUYaTREvuo2IBkwJBT9sjg+ytsGpmQygqYURZ5c3Hzecnk1T8UMiFbvJzqYtUpbEjzR51yRSujnXYAi4+2AepeqZsEyT0zMbbcNm4z4/0vUUoqLNebg+DG1im+NlzhqnLZlLW6z0qoctBw1On2kXBbdwMGfx+tvnEPXnRCn4sydWtjzvuOOCQi3sG5ysiTMQFdl4n+ccg8qQ7/eiF1Hw4ufl6JQ7ViCqqgfk3jGfA+KgXEMIitfWsQw5UqC1KQVzaZucY9bf7RvPlW2IiWUQMQ1JNGj5dunFpul2eTYNiAbQXxsCHusR2GZIQS2M4jlrpfHCiJkhyxVpzbktClHxQ0KleGKxxNWCx7GZFPccytfns7splUoszOQ2P2alQsoSPH61tGMZzSbBqZk0OdtkQw/e0m4OUJ3Pr2wIUU7OpZB9rmEnfgSWBGP0VxNXix6PXC2Sd01m0zZeqLjjQGZfzE8lJCQkJCQkJPTDC7szdWzFfu39aOgyJBsm+V3c7+v49QNeu2TdLCEhYb+SCIQTEhIGwrUEXqCbLhBSUHfdjHtBTt2Fc1wh7LAd0fMf/CNOvvObBnKPPfeB/9n290LdbXXGtfAjxbRrbeouUgsVrinxIzVQ50+K2DV3K+eZcTE2mbxMmQYnZ1LYhuRayeNaydvyeLfMpsm2TfCyqftc52BDiliw8dhiiZmUyXotROl4UfVg1ibSccpBUwoiBSUvdpAZBMuIF+pcy+BAxuaZ1Y3J5IlqW4RgIefykpMz/OHXrg+165Wix4lpl6aRU/32LFdCHrle7rnPi0/kccdYdN3LOIakTPvC3sLP/FtgsOfd+/f/DvPvtroIi6GEzbELVBy8EHY4bkEcjiDRIwlvxsEQYBobqXJU/bmI1M65AQ+Da8VismGE1Fstmp6aSZE2909XNG2ZcfvWUnOlkJyeSeNFCqU1lwtbt7EA10vti/qHcjbH8g45R7Jc9PlnH3+IqwWv53zEr/31OX74NWcwtqnNOLdaBaqcnonfBclkx6BM0FVyH17zWFCuEAO6tN2sHPuml9Fj6rGNRk069PPv59yYAmGlQfV8n+yPSqY1A/cRb2QivRuS23HY+aWFFxzLk7GT9mfbGbIiTqrenl+rUQkVzzmSpbYD2Xl6oXQs6p2EQFhDuzi4g0oQURkjsLbkR2Rtg1KLuLIzu8/Gedr3bRULB9HG/inLID1it11reOBqoauMD18r9Nmjm6dXKqRbVvpaBbLd7sgWeotqIgVcKXms10LuPpAlrL8rTUOwWPa4fL09uOZI3uFILgUCtNJjD9WG2b3hAt3Yb6UctO3fCHpfGjBY2DUlJW/jmhlC8IpbptsKp4GHrpa6xOmDxmTPpMzYUb+loMPOFRa94Z+B1rIFkRpS6Ne7L986/g215s6FPKYRB/BWw6grKNYxJSemUnHAL+BFCksKhBCbpsqNtG466naitUbWjQ36vWMb19eQ3YvkmzHaG3t73vPhgLdcAXcs5HjwancbUvQiFrI2hoCsbRL+5E/Dj/2Tgcvgac3vlmPxsZQGF1YrrFZ9TCmYSVmU/IjHrreLky+sVinXQl5yy1zLpxvXaCtxcCu3H8rytcs9snoIjdK6bS6i9Uz92pSuresbT2L+9FDOIWNNbr7ADxXuAH05L4yQQqC1wEJgiN7tUhjFgSMasE2DMFKYMnaFW64EfPaZVUKlWa4EPF0XKmdsg+Mzqcn8oISEhISEhISEXaA6wlxCEh+1QaR6j8s6x7N71GsjISEhYUv2jyojISFhx2hMLmodO1w00ti39nc6JwC9ieTaHLwjOpexqQURzqmjlD/ySdKvf1n3sVr+fe6//TYcPY0gFsBahmwTA9sDpKuAWPAmRZz+26+7CffCknGK4VqgtnVBP4zgzFwWP1I8vlRqE+TZhuDMXAalIVIwn3Y4lHV5YrnUteB4aibFlGsT1e/zFtkAuzClINKK1WrA5UKt+Zu9akjWNhAiFvYulv2+qVMztoEXKmxDYshY1KmJox0ljQVMxVzK5OhUuj4x3iIQ3oYrPZPeOi13g8M5G8eUXC54XFgfTCTYYBxxcK8FgmH2dsx4oUrU1+/CSE3UsUR05P3Lfvj36mceHO+XP4DzvT8w0vk32iaNa0miHguTodoIctgOXFM227ZIxQ7skYaoJchiz6PjbM2NgIfGILnhbAzxQrshBWrARfO1WkA6u7td0UEH8krTTC9762wat0XY7JomrgneIHZHdToFb7Npi6wtAUEmZfFdLz9FqRqSdU28UOGHij958ApPLcYL0K5tdB3DkO1OZ+Py9GqFZx/K79kqKvdQmvdJZwrwQkXaklSGOKZjCgwherpx7QTVMORqyeOW2fSWKcCE6LhzA97G3fhdw6C0Zq3mbzoRawT+QO+/Ru0+8vfezOXf+ONJFXEgLCmY6uPCqjRt6dsTdgY9qpBjlyb4d/q0U65JxhqvR7xf2evS8UmVLtRwtegP3s/R21MbDDGZcCCtN8Z/jWMppdv6dpYhRg409kJFLmM3BcIzKYvVatA8bufczmBl1rimJNIKQwhq2zRu2uz8F9c9ZlwDDU2RpaxnXGkEhALMp+3679MIIbqc5ytBxG98+QpepLj/cJZIRdy5kONioUotiHq7uOp2x+C0Fc9Z9EIQ34PNquugfYGcY26Z0UgKBhYH9zp7pDWyx9cLGatLIJxxjKazP8RtUKP1tWTcDw2Vxo805Y59c84QVk4j0npPwkijtyl4LYzieZiMZXJ82uXCWjxOtA1JpDSWlE1x8oxrDPS8RAqqarO+rub/z957B0qWlnX+n/d9T6p4Y+ee7gk908MAAyNRARdhWUFYxICKEXVlFUV/CyumXXNGxdXVRTAHdF2zCIgiICg5DMNEJna8ffvmynXOed/fH6eqbuU6Vbfu7ds95/PHTN+qU+e8J7/v836f7+NZom8Srq1EazyiTfSsivv42E8T23GbYgz0i7QKAQczDgfSLiCiKnAv/jIKP/QGMGakYDw0hothwD1BdD899dnP5f7lAoEeHSNbq/gsbVX53MUtnng4z5GZSGT6S2/6xZh7tU2xWCSbzXZ89th6uSPpY6dkxrFWG4Ad0+03Lpc2a2RSQSMWDAezbuMZHrnaXypUuLhVbSUPWFKQshULGZs7js103P/lWsiZte3YdN5T+KGhXA95ZKPUd1wpgMWsM9V9SkhISEhISEjYa6r18ePn+y+iFm9kEFW1Hv2Zib/KvuZNjuo9PvtoGJWQkJAwFolAOCEhYSBCiMixyoCtJMHQYPXeUvNDqoFulBR24N0fhVKJ46/6MmQ9Cs5ry2blt/+E+Vtu4RbbQmNQQqKE2FHJMG2gUt92UhaiV1Dr62hBQSQc8rVpudJMm1qgEcBN89lWebXQGCwhe9w+A224eSEbBdMbXzXF4OO2T0ko1AOWtqpUhkTLD2ZdUnbk1rBcqvUtkVrxdVuANmQhY7M6YCLs2EyaUIOSne3dDYO5WkwLk1MLKR5br07kcndi1sPEmKwYxE6EAdsTidvrWMzYIychx6FU9TvO59wfvmXsdQS//7aJBcKwLf4NQo1ny77OY7XA4NmCqj/dC8kdMIl3tVENTEeYoHtCxbUiUb8fRhm2cdzdNioBhzIG6wqmKPebEFVCcHzGI2UpHtkoY4zBkpK5lE3OtQY6zQ9zoO/cZqfbvmvJhsvT9nGohwbHUdS1QUiB23CyaQqE+4ljpYBpy/bqQYglVWv9TSewcZykE8ZHm8gZK+7kvt1wSq8FGltOt0TxOJTqIZ9bKnD6QDb2/TAOjiWo77EgaRyMMVwsDE4QOvSarxt7nfbK5Z00aSIiF8Lp9QMeb+wn1w1xpW6XPT4GR/POnpWD3k/n92pgXOFZxpY894ZZqoFmaavG/SuVriXiyXN3Szj90GqFg1mHS8VxxJi9VAPNux5Y6/js5KzLTQtpPv6Zz/GL3/qlmLbYyzd+7w/w5d/2fT3raYqIBbCQtlv3nmwk5+ZchQA2Kj45NxLWFmsh82m7MWEmcC2J1TZ7dmGrii0FrqXYqgWE2mBJQd6zqAaalC1bTqd7lbhjjMHX8Nh6lULa5uSMGwlQ/ZA7LxQxwJfcMNta9t7LRQo1zacuFPjaJx8m71m4luTfH1vnUxcKHev2dSQuvme50LvhIYxK4prG8cl7UTWm6bOz+2PSNu3JK6ltI2sVn4yjyLu7I/hTAhZzLtcvprlpwSfr2oTGcGG90hKrh43ry1LRGEqISEgdGjNRcrIYkiBZ8TWOEiglWvHKWOscuxW795ofZ71SCG6aT/NQm4Nzs/9qBGQdRaAlq+U6qz/405z4uR8ZGncLjaFkDG/YWGl99kO/+adjxXI+cXYDgHuWtjiUcwm04X/+8A+MsVcRz33yST7zyOrYv5sWjhIcynqU/aCva74lBbcsZlFCTDUOq4HlQo2HG+f02IyHa0kuF2t9HcUDbSjUAgq1gPWyz1zaxrMkrqU4s15pOC5Hd0yqolpJnIP6JsdmPFL27icyJCQkJCQkJCTsJhONQ6/SWJdny56xzzQNdJrUQxNpL7ZlFYhEIpyQkHCVkgiEExISBmIa4mDYu8nQuF2qvu3JZDj3dx9o/Xko63LUUR1Oj9NGG3CkIBzQ8qaTn5K751CqzfYE1LZQWRAMiHpOS9j10GqJUoxyJVtVn7mUTdUIrptJU/YLQ4+DZ0nWhwhTBk2KfOyxNb7ohoWWa0Q91NSDyDXWmtDZIuuMvnYOZm0eWq1MPBw4lN2ZqGHat+Zq2Wc+bXeUbd0JGsBEIsiso5DVyvhtro3nyNzz82BbtBpoPXDCtupPf7L7WhKSWEOczLrv6WEGomk7cmAPzP4bSOdcxbF8qiVuvGkuE/v+lCJyF35sozL0OatN5NQtiAT5pw+kO5y4BvHMmxa4bj7NTNrG75ewswuH8sxGhevn01hSslSocLnkk7IkJ+fSuyIATdim6ms8WxDGSFrwQ4OtBJ4l8LUhvALi4CYGOLtZ4eRMes8Ee/uGEbvrnnlk7NXtrydkwpUg71nUxy3t0eRxcAtmHcVixknul13GUYJAm/HHB2OelJKvuVSsM+dZHMq5fQTC8RCAZ0XOsZHbbKM5fdrTfFUdm/HQZvRt4ymxY4FwP+4+t8oPvOCmvt/98a/9An/8a7/AF3/T9/Hib/lejuQdlot1LhbqpG3FDfPeyEPdLq5qP4/dlTFOzVstceORbCS1FkQTb7XAtFVIihyF9yIRshQYPn52i5yreHitwsNrndeFqyS3Hcrx6EaFj5zZ7BC0/d+7loauO3ZoZMrPU4OgjwlR6zwaIgH4lUT26cftrHbR7tN9Oncrp1EAB/Iurq0INWQ9m0LFJzQ0nGZNa7nufnlzPK1k5Dg8zdhDP7erURhMR5JAE9H6Ty/9XLmmgRzD+TjUNAwjerlcrHOZRvJ72Yfnv4jzfp1jv/QTGGMaiZjRDgTG4BvD2TDgpzdWOB9G67z+1idNvB+VQPPOey9N/Pt6n/jXXjo9P+FgjiCM3OezjsXFQhU/NEgBNy5kSFnRdb8b91d7gs/5zWrs321Wg5HJC6O+v3ExHXt7CQkJCQkJCQn7Ea1Nw4hmPPZf+HD/tWjS0GxCQkLCfiMRCCckJAzEGIMSkcDPb7jS7bZJTJygp6Oiyb5BmWBHci5Zx+oo67dbpGzZCIoOb3ioI+e73Zq6rvi6UV5zV1bfl6xrDRQIz3oWh3Je9IeBWkPgFGq4ZSGHNobNWsDlYpVaQ9g049msl6PJ1nzKYqOP0/Bcytp2Ou7a181qwLvagvB5V6ENHMi6nD6Yw1Lji9keWi0P/f5ILnKQmvSw37SQIuPsVGQ33WvcmIYzNuNdrWlb4ViiJ6nAGFqTtLVAkxESMa7P6RTu44q/LQyuNtx12mk67bQvt1M8K56T7tXAOMckEg4YFtI2oTbUQ03KUVTqIZ6t2KwGhA0BxiPrlcipZRcTOUYxm7Ko+poDWYesbXdMho/zDpFC4lmSWxYynN2qUqj1PsMsKZhNWTzlSHZs53ADHJ6LSpXu1bO+EmjuXS72fHbf5SKzKYsTDUf3hF3CxH8S+6FhLzxftTEI0fsebp/ML9VDNus+ecfuKy6ZGNOnRJhJRIEJ+4tpCzgcJdiqPn4etJYU3DifolALKPu6JeZwLUnGUWxUfBYzDs85MYslBYtpBymg6Aec2ZhMTHpVs0cPQGMm63tM4uT76FqVmaNZLm71CqQ+db7As0/kB4rCtrcbVb8Yh4dW410/thScWkjxYMzl41AsFvnDb37myOX+9Y/+F2vrG3zxt207UtbDgHsulXja8TzuFASl3f3g7jW2H1U9xgMvblWEblYrAZ9bKja2138ZQZTY/g/3rfRfYAgm5j6M+2wfde0rIUYej6Yb6nzKZq0yuJfXz+Gzm0mujCM5h6O5bfddIQYLMvcL3d3OC4Vq63MBKClxlWhVSGmScuTYz9P1ko8f1hBCkHGicX93BY9hqww1VLTGVgIl6VvJyJaAoJXwPslk/yg8W3F6MTf274a9EywpJjImGM9BGMp+2BO3sgQ0H//tyc3Bi17KYy96KR953hN4ZSqLAXxjWNeafyqX+F/lrdayC4eO8qY/e8/Y7b92iI5qqCHr2Ny8YHd8G3v8P8YJDY2mGuihz7rdJp24ByckJCQkJCRcpRhjWNqqUx2jksh+pl9C4n4raLmXCXwJCQkJ0yQRCCckJAzEsD1pERJ1wOIEepWEQj1oBWq7Y4KCTvEgbAd0PUviqO3goyEqaR42IpBaR1Mthsjpsbm+dqSgV5glorZrHblFpO2ovFj39lvrE73rNdAQHW9/UqwLHlmvEuptdx0NFBvbb5+gqIea3im28Tmed3nSoc4AvoGBzp67xWLaZTHtcHefcpwzno3VdJcUncfXsyWBNsxiM+PaGDTLpRqB1sylncbkYe++KAEnZjPbAuERbNVCFjI2j6yVWSnVePKR2Uhc4Ha++gKt0drgWL3B4GIfgV+TtC0p1cOJBybPOJ4n48h9mAsZTUbOpWzWYwbnFzMO6+U6cUzFzLHjmMceGW+/Dx4aZ+nB2275XdEzeUdocJSgHhoqvt6R43eq4ZC7F45ae8E44uDIkSd6GuZci0fXK1hSUG5McLeX4zVALdQ8vFbm1EIGd5jt8C4hBBzLTdcpRgjJkZxHoRaJGbyGqEkbQ6BNK/nhSrmr3ryQIe0oPntxa0e6Im2SzOnHG8YY1qt1lgqjXd3Pb1apZTSHMt7Utt/z3IbWc/tqwAiBSKKHCWOz3/0ae7GkYC613d9uXvXdran4nX0lSwr+8xMOcCznUQ1CbCkp1AKUFHiWxJKC1YrPjBclgraTtS3StqIco7pJwiRM9uya5JG3UQ34wMMbfb9bKfs8ul7laN4ZOvbdzSetrw0Pr1U4kLW5XJyOkCmOOLjJ597xB7zwO34Qo7clqEdnvL7i4Pakz+aYVdDp0hm3OxpVl+o9soMEtu393EAbnngoTy3Q3L9S7Lt8nxWzVAq4d7nU+kgKeM7JmVa7c67i7EaNm+ZTKCF4xvE8Hz+3NWiNI9s5TcQUfc3HEWIPYtI1tP/uauzCGAPntzpdSAVwejGDoxRSRqLhSj1KEo69XtrEuiaKH0xaGccPDX4YxbukFFhSIEW0/ubQ2d/NQdcunFdbTSYQHgdt4LqZNJYS3HlxE1cJXFtRqAYsZOyoz9BVmUwAz/7gvfy3H/hOPvyPf9dnrYJXfPv38A2v+6Fdbft+YPj9vPc3+0NrpZExbVsJ0rZqCP6jZ3ffZIyuBFIhwI5hGFGoBWTdZKo0ISEhISEh4erCGMPZtSqlCcXBSsLDa8ONsvYaV8meeXfXEsgu1bCgkezZpPGbaVZpGcRVODxOSEhIABKBcEJCQhftTmxKwLE5j/PrUUDdEG8CqewHPDLFDmXGVpFT7Tv/Fr7gWXD48NDlQ9Pf2cSSAkcJPFtRD/X4JVIH8IFHNqaynrjYSnDLPhDDWFLw2aXeCTjB8HKY5bqOSr421yMk9cCw1SXGdS1BylZUfI2nJNfPd4qDYx2BxkKFWsi/P7qKZ0meeDjPYtZtiN01H3tsjdWSz789sMKzbpjnKcdnmM84KCkoDxEIH8m7sZ2mmuRcxR1HssC2i81OmcSZKw7rFT/2tGY90LEdobZ+/teYfdV/Hqst7pt/Y6zlW7+zBKE2aB0J90dN1EohcFQ0KNbakHZkY8Iu/jG2pNiTAeheEmizPWHa5xAaY1oJJMulGo91OfjFmRx8dL3MLQvZKyaanTa1RmnSrKsQxHP22kuqfrjjJ8dC2hm9UMKO8LXeNwLYQIc8tlEZK/FhrVyPhIKeM10n4auUcz/wU5z4+f8Re/lmQtxec+WvtoR2dtbPuzJnM2NLntro7w6jWNcdYr47juY41qhA4jUS92ZTna51iwPePUIIFjI25Y3dFQhPI9lzmuzVGY76Z/vj6ZCyx3f6nDbaQKWuOTHrcW6jyk56/sWlpbF/8yf/9YX8n3d/oufzhXR0v0TiWYu0tX3/RLeUwJjIFXKjWmcu5cQWfZb8kAdWSqMXBG6cT/dUBwl1NMl3cjZFqA2eLXlwWLUeQYc4GKJYVbMKTM5VzKUcTs1nSNmKy6X6WOJg0ViH1W1LNIApmDN3MM4lfK10oVK2wlFRwn3zuivWg4mTcnvXPzj5ejFt41kK15I8tFbGsRShhjCcjvjWbyQbp+zJYwGhgTA0UfxizEOy3y6R3XA67ocgGm8A1EJDxo3ijKslH0dFCcvamFY1gmyjytjP/u/foVALOXP2Uc595L1kchlOPv1FpGbnRm5zPmW37l9XSbKuwhh4aEAMXEiJ0eMdjyc88faezzKuQkmBaTimV/xwIlf2Vrv24KIZZxOukkhhSNsSJTrl9toYyn5ILTBshoNjtMM4mHWYTVkYE8WrV0q98ZmHVsocyU8vuTUhISEhISEhYTep1EPWyj7Vem8lk6uf3p5kNG4cvZ/dlWMTEhISEjpJBMIJCQkdtHevqoFmpVGST4qotOuuCN+KRVg6D6dO93x17MXPwgIWuz7XwNnv/1HMC74M6HR+STWcXbuZTdmslOodDpY75fHc1Qy04fYjee67XOiY1JnxLFw1/PWiTXSeDAaB4JbFLIVawKMbpda6aoGhFgQ89WgeNFgSgrbTGieg3b1INdB88twGADcvZnhwtYQxkVPLsbkUb/3gI0ghKNdD3vilN/PRB1fIzvR3Fy3Uxhcg3HYog4o5CRmX3bwGc66FweAoOVTgOEy8IoDZlNXa75p7BJPJQKk0su0GEJ6HdcutHZ8rAZaS9PH+biFFZ6aoYHTmaDXQHW65lon+bysRWySsJiynuZ+xpaAWQwReD83Ek4GBNq3nwdWMFOAbTc0PyXsWGMPWBM+K3SRtW2xU6ztaxxMP5cBc3efqaiDU4NgT1uSeIiU/4NxmZexnmzawVKiRcSy8K+AQvt8wz38R/Pz/6FtdYxCXv+v1u9mkhF1g2k/G9X2WYDJNDAZLCmwl+IJjeW4/OH6J83au9j5EQjwOZZ2+Y/29plgPcSzJ0yZwrW1/m/7R97xo7G2vLF3o+3n7eG0h5XZ8F42jt7c868UXB8N0nm2hicrVQ5RYeOuBLBtVn6ofslHdFn1JAVnH4hnX5Vkp+TyyVmn83rQqtWxVAwq1kFnPwrEUy0WfJxzMUA81D61WSNmShbTNYtqmFurW2N1RkrIfcmLWI2NL5lMWa5UYgrMx1XTTcP1tEhrDYsbuK2i7mqj6uicp3FGRQ7ySAm2id4KSAktKAq3ZqATkPYut6uBzlHUUCCjWQlJ2b3/TVYJjM+lWsvmTDuV3pQpKs6pXM84VaNMRv4rDpFWMOhJ6R9GV7yEE+FMuRbwXb2NLCs5sllhvu3/bYzb10FBvVMRyLUnOUYTGsF4JKNVD0rbkhhM38OXPfj0Z1+bseonlYo3NSjBUdnAkl+r5TAp48uF8x2fGGIQQvO+TD/D8O06NtW/vfP+HW3FKA2DgYNrraNd6tc6FLnfsabFe8ck59ugFRxD3MRhqTakedjpzT5n2Sk7zqf77tlSocW6jwvHZ3nOckJCQkJCQkLCf8EPNmbXqxNVt9zs7SlHfw9Bgs8+fkJCQcDWRCIQTEhI6aA+UF6s+fgieLaj6ZowS8zEW+vAHOPETb+zbV6sfPMzF1/8EJ3/wv7Y+615OAiff9JOU/tebcB0HVdyMti0VK2/9Yzh+Y7+WxWr/ODze+35BCKfmc1gqsoFpukyHYfR/KQSWjATc2hgijWjDVaUVvI/+b0nJzfM5hIQzG+WWywemnxh05ywVqmAi5yApBCcPZvmW517P6laVv/jkBQQCZ0gZunEn/QSQsuKXrWzSUba13W6H6LgKEQkr2gdNgTZTKQHanMBbzIzfboD5tE2hFnRM2gAU/uSdnPzKL8FoPXC8ZgCEwH3PB3u+sy1Bted5NHyH4x4ObUzrWAY6mrRsTrjFeQaGY7rDXA1UAx072HC5VJt4O1d7PMOSgnNb5X3nFtxO4xG8o2O9mLYTcfAeUvV17OfPbhAazUqptqPEh/VKnUMZF4GYetAsNAbPEgSRTTxhuFu++tNh9VXfysKf/t5IkbAhSoarfPnX7k3D2qgHet8IkfbzuRzEtC7xjBM50Bf3gRByN8k6ipfeeoA5b2dCFGMMy8XJ+yBXK4/Hsei9yyVOLaSGOuTs1WG5fs7jQGaCsGrbQM3o6d/jthQoKWkOPcfRW0m5ffw6RZTTO6qWhAfXilw/m2Eh5WI8w8GspuyHeJbCkZLPrxXJ2pLsrMvRvMMjaxXWKwEVX7NaDrhYqLFS8nny4SyXinUuFaPkNylg1rO4Yd5j1ts+N4cHmZrv0k00qnLNOFjyyvUDp0m/oxHdx8OPk6MkOVchhMBpJB372lCoBaQs1fGe7I6BpCzFjd2VqAZsbuc9SEOgO6vnCKLYhWpcZxU/xBj69ocFEE7Y39Zm8jK6w6p/TYqcML9xHLN6bXqdlit+wIwXJacXqgG+bpoPaGqBZiFtt6qzlH2NEnDPpS22qtvX0GzKaglJ46L7XsYCY+DgocMo2yb04/Wrj5+4gYrfGSvtR7CLcaczGxUOZzWeLVsC5eb/ZsborwUxg5IbNX9P+/xrle1z0X2+c24yVZqQkJCQkJCw/5mk6shVxf4pYpWQkJBwzZGMehMSEloY0xnELTdcVj63tMWtB3OEOr4DwDAOvfYb8B5+EOidZjKAs7zUEgcPClU3+4eZWhlq26XcRBhw8Nu/DmMMZ970FnjK01rfTat0YXd7E+iYcGliTBS0jyYk278ffNQMYDQcz6fxwxJlP8SY3jKNUhDPiVdEAotSPUQJyLgWlhQUakHDsTRyAjbG8MDFAuVaSKUe8P0vvpmsJ3nSyTlqoSbvWoTGUKhFQfKjeaflQPLBRzco1gYH52+YT3Fy1o2u2Wg2aPD+G0Ohrlkq1FsOuE2XEyloDfqkgLStOD7jUg0MriU4u1njodXIXellty7sqbNWxonKdULURm0MfmhYGySU9Dwe+7sPcuzVr8Baudx3kXBunnO/99fcns/2OPxUfTOWq29cUrYkCDW2Emii67oeGrxGqVBBdPoE0fXXvAbroSbUkHIklSm771xJov2kUcoSJI2dN4awcZ613p709EPNdbMp1iv+tsB/CLYSHMi4OEpiy8gprB7DqXgvKD34IHzsw/DyryCTHV0mHaLAzH5wtBuGAR5dL1Ed186qjdwORVwJ42GIRBDNyey9JjRmxwLFtbLPWtnntgM7cwftR9joY3x2adu98XjeYyZlo4RouZNbYvsdFRdLCnytuVio4IcGJQVzKYcZz2r1iWthwPnNGnNpm63a6In/4rd8J9bFC8y8/x9bvaH2XkHzMw2cffdH4zd2ihi6RWFXjq1aQNnX0fij2fnffhW1ulT9BNeDawxMQNu2uzdiDMynLXJu5FooBCxmRjwnjQDRv+8sAKUElwo7c3qHSBCzkLEJQhPrvbxXuJbEUYL5tMOtCxlmp/BeWavWqe5BSfN6GB1Tq1ExYtu1uPOOjqoiRB8b0XsJNa/fYWPrftd3v+eGa8l4Dqg7oBqano1bQjCfsloJov3IuRZfZEmWi+Ndz/32s3u9w3SdoYbTiynuX6mMtd3xid4N3/oFR/ngY+s8uBpve5u1kFsPZKjsoD+WcaJy87YUbFX91jhXN66tsu+zVKxR9TXH8h6hNhzKeRhjqIW6993TeNA+eLlIaMAScPpAHim2K7PYUrQEd8PYqvo4jQRTV6mWYFJJWC3XWSpU2xKIGwmvQjHjbru/tt8bjhTcspBisxryvoc3Orb12aVix9/awEY14LMXi3zxDbPxD+goxg2E9XnGd3w9xqoGjqkn5spkFky61ZVS/+dH3rN64lDtosm0rbh5IRNbIG/Mzmah+4nCDVBvK4W7VvFZKlTJuhZZR0WCeCVQQuJY8or09Xdji76m9Z7cLcp+0NO3CTStz+bTds+9s1r28SxJw3QaS8mGKUD0LG72L6fNXY+t86TjefQIUe/s3ALv+chdsdbp7nJ1lqWBSVfx36unFzNYcng7Q6NZKkwvwSvjKE7MpAi0YalYHVn5rTuufO2V505ISEhISEi41tgo+1zc3HnMMKE/SoLdxzis17Cqf6g4ISEhYb+TCIQTEhI6aPq0GuDQjIcArl9IUQ00vtbUfU2h2hlgs5XAsaLAqqUEb//0ZW6cTyMFFP0QSRR0S1kS76d+eKA4uP2zOB2ryAlx8FIn3/hdaCFYe9NvwtOe2eOyOg2Szt/uYCnB4ZxL2rZ6nHpTtoxcimNE7pvud1kncpZplqZM25K0o1gpB5TrIcV6SF0qhGWgbvjzj53j5Xcc4YZ5j/suFPjXh1a57ViedMblC47lODWX5pMXNqkFmv9wwxz//Pk1am2BZFcJDmQdFtM2s55qXSfDnBMN8MBqhQtb/Qd37XMr2kSOcvddLvdddq+p+Hp84Yllcf6P3wFBwOLP/Ajuw/cjBVRP3MTlH/4Z8Dxg8C1uyekKhKWIxBx+Q2ymZEMwrA1V37TEv83LLgxNjy3OtSQOBvBsSahNW3JF/+PdPumZtSPBRrEeoo3BbkwMGgNHZzxcJSPHTyVRQnbcE36o9zw7ONSGz68Wo+3e9RmOvP41nc/1X/pZikDouiz/2bsgGwkcm0LxdnKu2rWSmNNkpyKxR9bK3DifJutY+0ZEeK0TNMoV71Q9HxqNMYYLhdrg/kvjHoy2ZKY6sX+uUOFo1kPJyVzpY29nq8q5rpK7rhLkXAvPtlAi6rsqIXh0oxwlPzSQIhJXhUb3nSBu3j+WFKRt1XLar2yFUYnrGGz84E+y8T1v5PirXoLy6z0pVGuv/EaK3/668Xb6GuX8Zp17lktXuhkjedZ1+ak+/xczzlTWU6iFUAuntr5pIAQczbukreGi4FSba93w1MKIhZTNSqm+q2IkiJwhV0s+C2l731QMUFLwgS7R5F7wslsXWIlxDBwlYgtn43DrYppiPRx5zx3MuiMFws84nuNQdvD9MSohsZkAmrIVL7hxgYdXzxHnSbBW9knZkvObNSbt/DadSJu/7Ha8XC35LGYcqn6d84134mDBVy+Bgfsub0WO9o2NeJaMJRBeq/ita0M2qgo1q+JsFxFqjh/690hM11g/MPDpi8W+y/Yj7qPAtFWPAVCiMWY3Jurvi2YMybTE0tu/Hdw18xtJplqPFpydnEsx43Y+E9vbFGrD/ZcLPQNj00jaHJ8rJICbcvBsq8+YxpKSWU9wKOvi2Yq4GnzXklGm+g5QsWxzm0nqAYVaZ/vTjiLrKNK2wlEKJUCK3e0zw+7FNG01nns5RPdUdA92fU5vOzcqPvmG26sQtPoM0d8GW0bO090C0WYykRJQC8OOBF9Dp2DUbSRoTuOO+dy5LX76R/4bb/+9t/X9/uf+11v58ld+fez1zacdzm5O/m4VDdOFVqyStn80drgjWUd0LddFv2MkRDTH0P7D7mdz2Z9ugnWpEYfKuYoLhdHLR+/K7cop914qcCC7MNU2JSQkJCQkJCRMC20MSwPmjydlNxLkrmZsJfuKgRMSEhKuFRKBcEJCQgshopKSzSCua0dCh61qnXuXCjzj5DzChbynI+dIaIiCt4PW9VBz/0qlYzJuIWXxrBMzlOohC+97T7StUW3Z8b5Ea5DGsPjfv4sLp57EO97wK5ycdXnCwQxKCvxAx5rgGt7ORCK8GwShIWVFLkiqOalINFgJQo1BdJSAnPEsrIYAvBbonkmAbvfDsq+p+Jr5lM3Dq5WOCcy3//3nODibZjFtoxE89/QCz7/lZh5dKbNaD9msBNRympQl0dpwZr2KZyvuOJrGs2VronjcMuq1QA8UB1/TWBYrP/YLAORdqyW2ahIJPXqP5bTdg7WJnIktGU1ghxoqOnLXci1Bpa5J2ddGede4VHyNa413HUspSFs2J2ZBa8g6NsaY1qTeoPuieZ9P07ElbE7ymrZ5rtb2G/JHE7mzzv3oG8h/7ENAfxdKVatx5CtewGP/+w/h1OmebWVdxXplb0tjXkkeXitzw1yatH0lhxImmnDsELQOW3oyroW3vK9D1qs+W9XgiorYt6oBStQ4kvXGfkfulFpoqJV9oJ+YbfyrI9Cm533VndA0lGyWc3//wbG3+3hjLy6TuZTFEw9lWCrUpypi3AnTkaLsTwTgxEwSGCcgb0wyKttLlIDlks+Mq3ZdlN3NyXkv1rvsUNbmpad7RT7t99eo6g8LaZuN+vDEqoyjeNvHzzKfsmOJg1vtaLwzXvj6X+K9v/KGMX4JluPEEsButpVRl0CmkcwWt7/dvVjcM93+OmxWl+lP/7u2HAQd216tRI7A43D7kXgVQFxL8YQDqZ5+iaXgzotbNPf6/FaNxYzX4VhrycE24KGOri9vQIKXIbqPQhM53Q5PuhOcPpDv+dSSgjuXNkftYt/1XRH24FFx3UyqdSzHMeiuBbpRpSr6u/lGUbJ/JbKWYNKAY8mOak/DGLZIuR5S7noeuZYk51qkbYWrJJYUCMSe96Pj0l7xRE/gyCxEIx4d42eHc6kYa3S5e3mr7zeDHoNrZb8RhxTUQo2SAs+SeJbc8XH/Hz/zZv7Hz7y54zMJY707mgSh4Wje40JXUmRcbprLxn5/Kzl5dZHWzxqbci3Z8Q73R7gqT8LD62UO59zY1Z3a48WqkeBuxalYl5CQkJCQkJCwx2xVgkTQO4Ld6sU1x+8dJBbCCQkJVyGJQDghIaEDJaIyqO0dnbznsJB1+Of7LnHb4TzHZtsnUCLnF2OgWPW5a6k3Rf/ZJ2co10Pcf/hrYG/7S6LhVnP0obt5zu/+Av/2bT/AYxvbzjlfdnqByg4cC1xr9x09Hs/4ocEHUrboEGYqaXCUbAlKLSVYLW1PgOY9q6+jTDsGsGQkam+ycm6VZ58+wNJ6lUfPrXHT9YsEQlAJDc+8foaNasB8yiEIDRvVgIyjuOVAmoW01TFZMM7EgTGwWvG5Z3l6bsDnt2rkve1XvAAytpq6O8e0cSwJXcZWZzcqHMq5eJZCsl2mMu5khi0BAXF2XbW5qDgNUbpuc9CNBLPyqnCJnRZSxJ/Ys6QgbJyXlLKgYabZdN4aRFN4HU5Z9H3f5XhCguyf/O5AcXD7ZwY4+T3fzGPv/mjPMsVa2LeM6STkXYtSPdipWeyu88h6mdsP56+gi7BAx1EG74C4SQH7PXEg1IbLY5Z33y3WKz4ZRzHj7h9H02lRTyy1p85uPwalgFsPZLClaLnQTcSUBzehNixmhjvsDt9oZ4R6P8SqXUuykLbJuzZqyo6IxhguV2o7Tvy8WrkS0ujQwMfObnFi1uVIzsVtCOS8Pv3kaZ+VcfZ2p2OfOEO6Uj3k9iM5Pnk+hlVhH04/9yVjC4R/9/13j1ymeS6aGqeMEzlptjsljsvNC9nWMWmOEB5aLUXxlLYO83xsh+3+s2mFaudvJ5kAjTscNwwYu5t+KzBdf41uWM3XfScSBfCEA/nWEZjoPhFX1zNvL5JfJnkaNvv7umlqDa1/RFUvetvt2duuUrsZG6gFmlrQ2Ye3pSDvRaJhz1JXVDScskXLvrfiR8kHUYzUUL+KYyaBNgSN895MJGmKTQ+m3ake653cFQfSzsQC4bGY4q3bfuSMMSwV4jvbx8UPDWc34h+Xqq+Z8aJKWBe3atx3qcCTjvQmZSQkJCQkJCQkXEmCULNc2B+VrHabnfa2U7ZsrWdYV7ZRPKhjuUHxB6UEYdAdE0hISEi4+kgEwgkJCR0IEZWCsxrlEpsx3VMLWc6slfnMhU0+t7TJHcfnsARUaiFKQj2E5VKdv/7ccs86333/Ks+8Ls91//sX93hvIkRD6HfzJ/6Ff/u2H+j47p8eXONLb56P7SzQu+4pNDBhIAJw+wi0mu6uLfNqA3MpGymicqujxMFNjIGthttwNgx4+0cea3338KUChbLPfM7l3kslDuVctIkEG59fqZB1FGc3axzJOZw+kJ5o/4wxPLhW5dzmdIPin77QK4x82a37v0zeSqnOYsZhpbQ9CbZVCzpcGrOO4mDW5VDWo1wPhwqFbQnNS8dWouUCEmiN1p0TtZGQWLRN8PVfbz3QI8sNX0uM84iz1baAe5xJs6o/fXfm7rLEw5j/o98C4jnbG+DY13wp5//8H4FIUN4URhfrIaExbNVC5rzxutiRO5RireyzVQtwLUk45qTqNK7IjKN4eK3TQbP9UJ7fqnVMgn/4sS1EY97cmO13Yvu/ARDwolPzlNtc+LbLmIqohDOD36kHMx6O6vzSGVGePqGd/dVZOb9VRedgxrX2pHTyXrG/jvK1wW4f06ccyeKqKWxsyl2CjUq8fmxcRouNd5cDWYcDqekKapoYY1gu1zr6jo83rqTj9JmNGmfakm+vm3E5tRDH1fHawtth0vDzv+fneP///qFYy6bnD3LvuuELRgw/m+Lg5pBlu8LO5PehpNdF8oa5TM9y57d2lviadixoExgvpBSHsg6Xxkh2krvyBumaXozpGBuaqCKNEoJyY7xjupbpxpICWwm0MX0dbCGq1vKUpojNRKLGphun6bPish/ujZjwcYA2kz15p3FV+tqwWvZZbVTFsJXgtgN5pAQlmvEOEztesRMHsorfoaoGdlcwndBJoOH6uRSPru9uBYzd6mUIITi9kGW1Wr/iyaybbTHkB1fKpB2L6+dTjYT5hISEhISEhIQrTzXQY815PV4xBioxxyTjzElaUiBtgWsJZtOR8UnSU0xISLgaSQTCCQkJfRECmpXlAx198IwTc3z6/CYCuGdpCz+MJp2EEHzg4Q1KAzpSoYHPr1S4xVy5QHFzKue2d/0Z97zk61qf+6HhzotFbllMxSoJ2L2+hN1DiqjTPay8cDNYG8+hqJf2WO+DZ9Z7vr/r4VXueniVp968yG23nwAiZ5QZzyIIDSdmPc5sVFkr+zz7xAzjVKEzQMk3nJ+yOPhqp+KHWHI7OaGbYj2kuFbmtiMzLAB+qKn5IdV6SNkPOyatlZKtSVI/7D9J5iiBapy4OINBQyRG6VtS5hohZUvqoUa2TWLHIZzQuS86phP9dOcsLUXC1DF+Ym1tAJE4eLnkc/dSEUsKao0LYjZlMRezrHHWUbiWZLXstyZTlbiyE6vjuZkbiJlfo43pf8/EOPlnN3snPW8/nLj6XK0YAxcLVfJuvPvkamEcx/WEeOz2u+HTF4rcvJhGG7OjiiIJg0nbirSlds3ZsByEj2txMOyvp87ZzRq3H8lSbk++naCB8ymLWw9mOn6fcWSres9+Gz3NpXYWWr3tBV9OvbzFv//uzw1dLr1wmFe/7V84Oe9hSTE0UbIpTO33jRSMFfsYl530YgWwUekd28+lLHItp3fTtjTkPYUSUWWJpqnufNpmpm/CXudvXTX5s0kIgcSgMWhj0Cbq7+pWwmTD4VtAvb4dQ2puMef0tq85LgpCQ2XESdIGdNutlrYVZX/w/jhKkXdtLCU4lHX7L9TWQNH70Qh/+uHtXavU41fgMgIjmltoX2+/vtb2Z0KCK+V2XKa94V2/GN3iKCbVdJ/aPoGGSn3yce+08UPDcqnGTMpC0Xl822MdoTbU+zwUxnk9y8Z/GiGWDiflaTDtnsJO1ieA+Yzdc9JqYdBZPQyBUoKgEYhq3vNA67cG0+n23/hnzrEa12pnS6u+jn2tzHgOsLsC4elitu8pACRZ1+J43otigK1j1v+3vb7zXU+ktmPfvo71Sh2IFzcOtOFT5zZ5YLnIU47lOZL3Yv0uISEhISEhIWE3yboWNyxKzq3Xpjp3tJ9iSvuZIIzGU0oqpGw4FCcK4YSEhKuQRCCckJAwFCUi7Y8Bcp6NakwmKQGlRnBZYKiO6JCulP1GSPTKdjef9s4/7BAI513FyTkv9gSZZ0myrmKl5JO2JbUgERPsBpHTa/8JjHYyjhWJR9pm25olQZqBYQltPfXOySVtDP/hxlkEUD6U4uP3LvGc2w7zyhfe3HLAlEJE1z2Cj57Z4mIhEiHMehZHZ1xmXMVmLeTfHtvkedfnGT0NYVgph9x9qbirE7N7QdMta5oCHs+SYzl620piK0nWszHG4AeatXKduh9SqYcjBSn10Iyt9A109Ay8lgk1hGM+ry0l0AZCY8a+JqrB9F2EF9M2KyOSB4697pvHWmfzUVOshzyyVm2tP2y7huwYmQJSRMKFlZJPset6b3d7G4dRQpE4SCH4TzfPN1yyNZ9fqfDI+s6dxpSgUyw0hfWJPUjVCXU0ganNcNF2se4zbBp3sJCim+i9d2ZASVRjRKOc9ID1tE1CAxyf8fAssS+Fj54lOyfKd0jTQW+lVOf8FXDHW8w41ENNLZyu8+teczDrMOs5KAEnZttcQDv1VEPZqgU8srYz98jtze5+R+nzK9Np6/5mbzstR/MeriVxlUTuctlzv9vO9PHIPhtP1LreOZM079iM2yPcDLQhmGJfYppU/BDPElQHOL3G4akv+yae+rJv4v+98Wu5/OBdHd8px+MbfvtfyWajxJrr8i7lCd/tKyWfrKN6+p+xiNH1kqKzXzwuSoqO6jFNLpf8vknBh3MOtx5I9Ywf/VDHSh44lHPJ9fm8rzNTn8/uurQ1chv9UAJuPdA/2S3jyI44SKeYbjBxDrsUAleNGHM11mNbgnrjmh7leBwx/FkfaMNKaXdL4h7Lpajp6b0X+h2n7qomY7FLz+uLhSoZJ41SnddKv1hHs7JSPdBjjzmPzHk4lkRrQz3QrJV8Mo6auCLbfkYIWO1zvfZ7Di1m7Imu7VsWM9hS0X1hxE1GV3K8ykn7geg9OWmbe1MG2unnnN7EmcDpv1gPeWS1PFAgbIwZ2McNdGQqsJt94ISEhISEhITHH44lcS1BnyHz5OzD7uR+7EG1pt324fFKSEhIGIdEIJyQkDAUIcCSEMXFBU86MsMHH15lLmXTtA00wEtOL/D+R9Yp1QZLZD7/jOdz+uPv25uGD0B2TRZs1UI+9OgmL7t1YWhQ25aCnGdR8cNW4Lc8hqtDQjyakxW1QMcSz1b8gLU+DkPj0AwTZzIuv/69X0ygTWvbpuECFI23DE8+kuVDj24A8MRDGTKO5FDGJu0o/v2xTaoB9DUqamH4yNnC2CJIVwmOzXicnHVpjkC0EVQCzT2XSpNN8I5Bsda7/oytKDUmpkclCMQl71mx3KAHxfaFEDiNdt17qQBEQu6cZ5GyFJaQUwnQT1vIut+o+BolwLUlQWhQMhLThzqa9Ddsi+cBtDaE2lCpR89EKcCxxMByuIPwQz01Z2YhBK6tGOUSI8vliQIOHz9XGPhd5aGHebh+hBuuW+xZd9pWpB3JVjUYOIkY6uj4jjvXt5Pylyk7cuVrlrVvak6un/O4eTGFEIJLxTqfuVCcaP3TlvKqKYih49CcVB8lzDi/VZ1aewzwb49tTmVdL7vVYqW0PyfsPUtNrWRruz5wp2XeJ0Ubw1b16hYHA7hKYjdcECbNgUtZaoot2o8h4YRhOEqScxSWnOZ1MJgZ1+Y8e58UkNCfvKt6+nEH0hYvPb3Qup1Xyz4fOTNcVLlf7vy4fTFt4BnHZ/hgY5wYhycfyvLUI43ttH3+kr/9p5G/TTmStNMpKotSseM1WCDw7ObvB/XS2s9CY/wZY/gjBAQxK0d1n2clYbXc6w8thOD2w2nuXq6w3FWGfj5l7UqfMDRwMOOw3CYyrgYhrlJos/N+7bBrvHt/rti4c8qHdZqJYVcruykWvLBV41AO8o499J5or6zk2RLZ+CwO59ernJhPoZTEcySHbUW5FmCaTx8TJViGurdyTMqWBFo3ltmZ03hs9uySm2xDOxkL1cOQR1fLsc/dTnGt7bZqbfA1DUdwM3bc52piqVDjsxe2ePKRXMf9G4SGCxtV6qEh7Sg8W+KHhpqvqQaaUBsEUUzNsySzGYuUvTd944SEhISEhIRrkyCMqp9tVfdnrH+q7NOhoxBNL7JGIq1JEsISEhKuPhKBcEJCwkjazRDzng1AtcuxplQPeebxPJ6leOf9q33Xs/T6H+f0q97XpyTY3qFFf+FI2BVAtxuuIEoIsq5iveyzFkO4mDA+ni1b10PV13sW4O6HP2JyMe9GGZoznoWrRKut5XrIs6/L85mLRU4fSA8stvnASnXsCb7rZjxOzXvMpi1uXMiwWfbxLMVatc5GJeDUYorPXrz63YhdS8Z+LlgyvgBsoxqw0RBtCWA2ZZNzLTxLooScaFLmSl6je0VoIhHAcIfl/p9HbqsGR4mRLuDtKCmnWh4pDsZzMCV/x++kV77xa8gUe0WdGsHW2/4Y+9YnUK6HlP1wpOObJhK2N8W6g1jM2FTqGiGja7v7PTYOnqVYH5BsEV3vhqM5l88wmUD4qr9j9rDTMk0TqPo+ddb0LMnhbFKqNSFhrxgkGlRCEE7hoTObspBCkLYVecfe0+D4XrhM73f2yxFQAr74htmepFshBGV/u0+zmLZ54U1zIKK+y92XStx+JNvxm8jh9MpPeo1zbLPueAkqthITu25W+4wnPUtOLWlzEAfS3sixU6jBtRS1IH7SjBJw9/LWCOGt4ObFVI9A+J7lModzbuxt9a51MEfyHoE2rYTk+1dKADzlcJ6dHmo1pOKINow9jtoNakHYqALWO+npa40UoAbE1/qxF2+GvThi0bGYbEtCtB0H0SnP3+nruOyHrQoOSsDpA7mRouzms8SSAkcJKjFMEFZLdWwlsJWg6hv8UPc8k2wVVeGqtwlH2+Nggs44oGnc+1KYkTG5cdjJNTfWbyc8eTsRzZfq4Z7FpZrxnW5qgW4Va3OtyOyhVN+f408JPZUJ6uHoXqQ28MDlEodzLgcb75pyPeT8eq0lxN+sBGxWen9riO6xqq/ZrAQcnnGYTds735mEhISEhISExx3GGM6sVa7pxKwOdrKbuzTwbPb9irWQ4uVo3HXLofTubCwhISFhF0kEwgkJCSMRbYFrIQSLaQeDIe9ZXGqboBkVE33ioQz+gUPYly/tanuHsfLUZ0XCqzaXt1MLKRxLkrJVo7S72XZRxPSdaFMC5tL2vgl+Duvz7schg9VwCtba9J3gjM0e71zF17zo1DzG0CPyqwaaJx5MR67DbZ8XaiGfOD/YbXQYlhQsZiwQUbnMum/IORZ3XirwLw+tt5Y7kne5uNXrtnQ1UQs0tUAzn7JHukJHItLBqQaDyiwaYL3it4SQTcHwgYxD1rFiDbBTtqDi78e7arrYKr4L2SCEEKRsQajNyAnutC0p+9NzEAaox5i5P/fDP8fJH/ne2OvsaVqxyKvf+FWtP7uvSIlh9ju+gcLTv5DyT/9q7O1IIZhP2fhaU+jj4O1akqqvWy7eAPNpG6tZVrYxyVqsByPfzfNpe2ACjBTb5ZNWkiSZgUzziTDVGNY+fVQdnxktMJqUcXa5WCzyM699FauXLnLjrU/iB//X7+9Kmx5v2EpwejHT8ZbeqAZcKo7fT7layibv91Y6UjKXsllIO4TGYEuJaog2H9voo2gYgRRwOOdiTOSM7yp1xRwzBGLi0t7XCvvlNjmSc/sLXrsujdYyJvrqjqPZHpFTRV95cTCM905eH5HY1c20T9s+uQwAyDsWjhIj70spBb7WrFeCWP3/Up8+MUSu1Acy9o6S5bpREjCCfjreRzbKlOshGWcHbpBDLi6/Wb1iyuI/p5HgHDdh+XyhymY1iBK7ch5CGBwpKfshyw2R6KGsh6fiHYfZtI1tRdWiuoXeVxNSTH5eDmdd5jyn53NjDPdcnixm1M2BjIMxBluK2EL2QBsCbbBVlLSrjekQ97bTvA8t1b/ahGdHwuFhNIWT3VyhQiD9GaOkzyRXxIGsM/gxEEODfiUSpJQUHMq7SCEItMaSEtuShNq0npV2uc5Gef9VVTFAreuZGif22OTOC1ucPpBFCkFhAtc+A1zcrFOuaw7POLs2Fk5ISEhISEi4NgkNzKRslgvTH0ftp1hCi6ukq7Qvj11CQkLCCBKBcEJCQiw6YqMCVks+M17vIyTUmhnXYrO2HRDMOpK8ZxFqw4U/+juO/+fnofx6c1WDUTaEvcG6drHAuJPR7/ovP4bjh1w/57FW9jl9IEPGFmOXhZ5LRxPRezUh+yU3znbs993L22VZ857F8Vxq7GPRcuvo+rvjexGvL968ProPh2h+R9v1Y8BoQ70xgddl4tC/PaJ/Gyt77DYKDHV6klKgpOiY7Mg4qiV+nATVOIAbVZ9PXiiwUqpzuW2y9UDGZv0KCPd269KP43zVvu37L21R8UPyns3J+QxSwEbMIH9TMDzj2dSCqASgY4mWo14/wXDTkHNy36CrA0uKWALbYTTdgCXbrmauFU04dgtBNNFEeMXXOCq6j2qBnsgZ2xhDyQ+4XIoRMHnas6LfED/u4Fvbk7pNcfCg3zavk9wnPkz9D95C8Vu+M9Y22gW7dmMyfz5tI0V0XAu1kG6pXT+Rbxw3uUFtlwLuXi7zxEMZbCn53FIpVtv74e2r2d7xqQxJBlJyZ+7N3UxzslfuwOFsp7iW5Ka5TOvv9la0X3OWZMcufOPyZ7/xJv7ybW/u+OyTly7wyqceBeAnf+9veMIdz9zbRl1DBCFYslMstJiWEwmEr5rqCPu8nSlbMZ/qddhM2Yob5lMYI7ClQBM5Rq6V65R9Td6zmE/ZPLpeab2LDuVcHCnI7bFT8CCEEBxIe4BgJc57f0rsp1M+rfdG1lHctJDCGHh4rUJxTHfbi4Uapw+keu/bEc3bNQfEPbw807bk/pUKR/MuxjTOiOmKWzTUU0YbhBBYolmevUFjUSUFjiUoN45/XBfZ5u6mbUmgo2TuemjYqgZIogRW2diMIeqbSRkl8nVW8DAt11jM9tUVdSlMx30vBA2hWGcbZzyHBWlYbVbp6HJKdZSkHmruv1wg7hDZGMOZjWrf7xbTk4uDB/3q3GZloHCsGTvSzfNbrXL021+Jvbrcs+7N//w1bH73G8Zu17QuX9eS1IPIFVbJ8VyJW1WeAs2j6+We72sBzKd0bIFwSimUIwltjTHRODzQZk/cr6fJfnr+9+NoPkUQmon61+3CXdcSCAQG0Ea3Fmjes0HYGxMxxmD0le8bTINx9mLc7pAUcCDlDu5HjbjIlCRerGMo413JSsKRGQ+78d6ykW3fbe/HXMYln3Ko1AJCEwnPgzBymu5+39d12BZTb4/IGCwpYzuUC0DKaNzQL0YvoPVO7fkiJpvVgLuWtrhhNrOj/u9mJaAWaI7Puq1jmZCQkJCQkJAwCmOi8XXCaIIxY0yutd23M0Tz8d1Jtc2YSkJCQsK1QCIQTkhIGIk2nRP0J2dSHMt5GOCupa2OsGI9NDzvhhnKfshmI6t+NmVFTrGNCPW5v/8gB77v1aTvv7evoBQE4V//I3M3XIc2UPyvr4aPfXR7mXSGpZlZDl08j+mapBqEATYXj3JqIcWBjI0lBTfMuUwy9TKbslpuOHs5OTBoP4dUpxzKqLlb0+/DuCsb9d24B27A8j3zgJcucfxbXk73FJUvJBfe9eExNzoec6nI6VfrqCxuEyHgBTfN8cBKpWfytJ1ugWJzydWyTzXUSCmo+JFTUbtb0WzKjiWIdZTETcuWs+jgdpj2PzBEYlG7oeRuXheOJSN38eaEr4mcZ5SMnJZM50o79gkak0dtbWmu19e6x+W7H4WqT9qx2awGLBdrsFnl/GaF0wdz0d8xOZp3ydhWqw2RKDhqVbtgONAmmi5v7LOjBPXg2i1sXQs0SgrCKYg2NNExawqABdv/pvHvSAwcbaseGghNxzLDMMZQ8H2Ktej+WC3XYztjAWx90fPJ//v7R4qEm0fiT372TwF42U++Bkb8pvm9Aeb/9PdiC4S7NyxFfwHwTrEl+GH/Y1X2NUuFOktTyEx3pzz5tZ+mnactkJvm+tqfUMZEiTm2FHviWBQlCImOv/sx7USrUXv2hq/5j5x54J6hy/zot76Cr3vtG/mq1/x/U2tXwrXNPtDJToQSknTX89lTipxjYzA0i38/4UAWiN7nCrEvhMHtSCE4mHYbjqX1sQRw1wLT2tsnHMzwrOOzAKTtTT5ydnOs3z/3htkowWyfHP8dmHxOsDHBV952aKyfnNsqU+tnvxlCe5cv46ihCapN0o7CsSQ1X1MPDSslH8+KErW3qgFZR7WS9R5cqVCoB5zfivp4X3Z6nlpoOLteZb0adCSjdu1o30/nUhYnZtNgou9tJagFIbKRdNl9kTbjQnGfJBlbYSlJLeh1WE1Z0ThVdT2XghgVTIZxIOPGcpacf/dfkfvVX2j93b1Ps3//58z8/Z9z5t0f7fhcDNn7ou9zuRSykHGQTN6H9mzZEnumHTk04W1SwhEdOUtGCbbtSykhOZB2mU9FiSbSCJYrNbaq/o6fH/vs9TQxR/MujlKU6gFlP+xbwaofsylr7Anxdtqfmx1xkYYhgBSRULQahNhSYTBcKtWiSfQgZKsacNNCGkcqwCBjCjz7UQ1DakFILdDUQ03GUUghSNsWltiOTXWPOabFOKvcKPvjGA5zLO/tqM0ChsYWp40UcGQmFVvQqqQgm7J7PjfGNMTrGj/UXNgKKdYDlgq98TtHCa6fS7ee7c144aVSjUBvP8tyrsXlUh0/NDhKkHctpIj6qpYUzHo2GljqEyMcVqnk9IFs6ym9WfWpBhpbTacPXPU1j6xUOD7vkd6JE31CQkJCQkLC44ZQm6umytqVZtzD1G0S5dm9/T0lo3n/bq6R4WdCQsLjjEQgnJCQMBBtomB+M77sh5paPUS0ucTcfnimIQqMSpk/vFYmZUeTWHk3CnTpPoHLy40yzuL9/8SRt74ZUatRO3kj5V//3Vbg++zSFodzLgfe+vtIITDGtNw7bwIe+PVfYeG334IroyBlv0Bdc8s1N8U//Mzvc4stmfFsBGagS8liJgpkhg2xYxBGy15RV5MByjUp4Eh2uHuwbLgTGQNCRCsKdK+DZzelv/tr+PmfAt+HVAp+54/I3Hx6Z/uxixx98bNoD0G3OyTbRnPyxc9i66ZbWf+NP+i/gmIx+n82O/a2FzL2yAzO62YcZlIW62OW25tP26yVfbQx3DDn9V1mzhsdVK4GITfOjb9v00aI6Fny4GpxYNXUmtQDXZclkHEVH3hoFSk6ReKb1YCPnVkfqz2eNfjYdQuGtz+NPk/ZknBI+c2rGW1ANyZZlBJjTyhLQWsCReuolK1nC5SInLYhEgYboB72dwoOQj10ok0bTbEesFUL2GwIytdjuke3s/6jv0Dqm16OffnSQJFwswkf/Orvaj0jFpcei72N1jofvB9Ojfcc9Xdx8k8b+joECuDzK+OXnR9E7SpyBRubPRa4jsP5rTquJbmwVWMx41ALNJeKdW5ZTCMllOuaxfTOh4OWjCZw25k0eWk3+b1f/PGR4uAmf/abv8hzXv51HD58eJdbtc/YrfMmwFWi8cwfw71wH15HjweiJIJ2gX/07/3scyaEYM5zyTs2968Ur9kErn5Ma47o/ssl0rZCCTi/NZ7jtwTcfSQOBlgp+yykbVb3oNLKJFU3pn2kyvWwJ17RHsNo9vceuVzmwdXOPt47718D4GjeGSIOHsx6JWC9ElU4esqRPBU/6lHfspil5Aec2ejfp4xb6OD6+TQpS3E8n+J3PnGuo4rQC0/N9xVQZx1FvmOM3Ozl925wq1Yn7aht0a6A0gAxZlTRoyFY+/hHyTbEwf1eV+2fnXjxswj//U5yjSpccsgLd7Pqs1EJkFKw0Mf9fRDNKixR3IeOhMl+1Z5GsZB2YiTtBnhKMpdqVFhpO8TNmFMr2ViA1XClXi7WOZRzkURtPiQ9DqTdlkt1rSEg7L52juRdQm1YLm4nMDaTSjOOQpvo7w7aT7uIRLAbNZ96uO2K27N8c92WIutYrXWsVeqU/G2X8H4/326XIudaHQvUByRmQiMBOTQcybnMug5CiO1EZhMlK4eNDUshKPsBhVrAeiXgcNZlPu0ghcBrJAqMeiq5jUTo9jujNiDJtvme0Y3QSLEeUA3qGGNYr3ReIw+vlpFSYAnBoZyLErBVC1hIu1givsBSAOc2t13DNwdci7YSzKcdZl0bS/b2VJ5yOD9yWwY4t1XpuCu1GRBb6BM3VEoQjBETsrrLqI2JNvCUo3keXi1TqI0XX2wSt7WRONibitutEALbEthIUkC+8dx4YLnAA5eLHcvWQ8MDK6MrGEkhWrHtemhY6Xrnn9/q7zwP0XFcSPcKmX1tOhLi+lXh2CmyzYQhISEhISEhIWE0AqthWLQbnJpPYynJfV19sivGFQwt1XyNJUVkvNIYR1/LU1sJCQmPPxKBcEJCQl+MgfZ5liDQLG9Veyb9mkLhUEPKsnjKkTybVZ8YcbxoO89/ERee/6LW317XDOdSodZyE5hLWZyYyYCIAuS3vO71hN/933j7L72FF779V+kI+7YFnUtPfTqf/ZE3I9crfG6pxOeWSjzv+lna45tKgNuYEF0ZMCk241lYSrBVmSwAuyMGxA1nU/ZAJ0BtNClHUfdNl5tmJGwcJBAufde3wkc/0vlhsQBf+wpKAK95LZnvfN3Yu7AbNN0R28XB3UejXSicf+g+gh96HYWf+3UAsn/yu8z/0W8NnJ7zZxe48Gfv7PtdypJkHEWhFsQq76INrJcDFjP2wGusmxnP4rqZFMfyKS5uVXqC3VcbAtiq+QMniZtUfM1syuorEHYtSaEWPZzG1U1asrcE7k5C8hVfoxrOuH6or8mBYj00WMagxHayiCXBbnPJbitEHE16RgbAHeJqWwmqfuN9EY5OUICofKkSIGQ0meSHBilolBCOylWe3Rw84TMOF/7o75j55Z9i5p/e0fd7A/zlG3+D4vWnOj4f9/o5/obv4Nzf/utkjZwyeU+xVe0UP0gBnq24b7k01edNqeEcvX9kQzvDklDyAzCwNWUxlAGeciTLnRd3HpD73KUSrhIczbvctbS9vo+f2+L0gTRHc70TouNyJOfiWRI3ZnnpbrqFHMMq7e7U+e6db3/rWMt/30ufyf/95JkdbTOhgRGcWsgBtMrNd3zdfL8owZ0Xt11LbSU7Sr01/6VN2yqaD5dGQonoWri9H9i+PdH2W9P5k17alutZppH40taMgfRrSzvDklRE199tzRrN48hlRElJOqbj6o7YR4d0Wqd3qxbygUfGS7RrcuO8t6sJTZOy0xbF/X2gDaHRscuhw5Vzmlkf0L+z5WgXzlHPuBvn02Aid531ap2zG1WsIRlDw67ddKNvEGjTGEdoHl4v9yy3UQ3IuarllNukWA/7JsENopmUOxIDK+VInHri9VFlkFHnsvm995u/gnr9D8Zu01KhxkIqEoqOus8dFb2HxqmiMgpHjb6et2oBSgo8a/D0QqCjcZsQcPel7QpkS8UaTzyYg7CRhNIs1QM4UrZcYiEaE2Zci1nXIWUL5lM2zSMrEeiG630YGir9rJ26WC7WBgpOIRLPzng2s57TOqZCwGPr5YFJzt0czrlYMZ8JQkQi16xjYUvZcy8KIRCIVgJeypEoIck5DsdyUdu0ie6piq+xFRBG96Kv+/cXpBSUJ+xbOypKQOyHIRqvh5iOuM9qI2kj71oYwA8NeddCm2gMKkUUU6lrDQgcKVFBHe/9/0zqEx9GlkuEC4sUX/gSak98auta8UPDpUKNy8UaGcfCDzWHcx4pKzpGcWI0o6r1DIobGqDwzOcS/MKv9neE78OBjENKTTYdJ4HFnINnK5QSXDeXxhjDuY0Ka2WfI3mPnGshRBSXWS/7nN+odLih33Y4y9F8istbdUa95QSwmHNx7N11ub3lYI60rbjzwubY7229g05Qv2fA066bYc5z0MawUQ4albVgLm3jWIqKH1Ks+sQw9B6IknDdvNcRU0tISEhISEhIGIaScHTGpRZolgt+Y35seriN8Vycyq57wg4CJtOIA+1ltY6EhISEvSYRCCckJPSlu/ujjYk16ReE4A5x5NwJkTPNtmjgpvk0Fwo1jnzVK/mrL34pWUfx/L/4DbJ3fYrQ8Tjz1d+Cft6XkHUktfUq1UZ23axnYYzhcilgoeEW/NmLJVbLPq4SfNGJmb4d0H7Bwyud799v0iY6V5pH1krcspjtKevnWpFLSLf7KkDpPz0PVlaGb/Stv0np/nvJvPk3d9j6KXHp0kBxcDvNSZH5T3+MAnD8y5+PqlWG/s7ZWOX6Fz+LYHYO/x3vQ8rmpEvIZjXocC+Ky0rJZ8azKNSCkQLXqh8CkQPrsZnUVS8QroaDHaS62agE5F3FVm078m7J4a47wziYdVhMuRgi8Xw10ITG9HWZGYewMQmXsmVHqcNrCVtFrkyuJSJXeW367OvwizmOILgfYUtjvC1S9mzBeiXgsZjXUlw23/A/8X/wxzl7731c/5M/hFveYu3oDbz3//uF0T+Oiahf+Xs45ypcS/ZNVEjZinfct7or21V9BPoTc4VfvrVQ8+Bqr0hlGghgxp1siHb/h97Fe3/lv9O8H5Wb4nV//O9Ugk4h8G0HMxzMWOzkQGacyBVtxrVRQ56jn/7ER3nn3/4FmXSGr/mGb+PoiRMd3xviiVl2alq1tLQ09m90uA8Cotcg7a57/b/c5tbFFAem4HK9FxgY6VYa5wkY89DEXh+A3GFfZzfoFjxfN5/asaNek5OLaT57foPzW9WO7XSsvSEsEu3fiT7L0XBQFu1/R6XePUv2CN5zjsXhXP+KH611tRh0BrvsLkdgMNxxZLBDYvtWzm9V+fCZDRBRS1r739xFIXr3v+uDfntghOBCod7R+uZyFwt1Duecvi59wxgkqB8ltG/HUYL5Mbfbva24vzcdGQqjmfXsoQLFJq4lsZUg1AbXak/Qi5xQ2/8eVfEoZctWtaZ2juQi59Hzm8Odo5vOtIN4eC3qG7UnFg7r+y1kHMp+iKMkpVpALTTMpaLy8M1nad6zuOtigbuXS1ws1HvW8aFHN8m6kmccG+0SOozYGrPm/m9sdNxDcQj/+A8gjkC4rS13LxeAqP9+cibT8WRw7Ug0Wgt0K5E/TuKINoZKQ8wohMGYaC+abrXb7RB9E2x7mxvv4AnR27Z6qHH6JJkJ4EKh0nKZtpXkWM5rOdw7UnUIddWYfdpR5/t4PoVnWVT9oJWQWvHDsSabx9UtHky7scTHgs6kOdNnW42cXXxNy8F5mgnNk47oVst+Rz/pfOP/thLMeTazKZtH1sqE2jD3N3/KsT98G2CQlWjcb4Qg8773EM7MsvIDP0nttttb69KGlpvuo41kglnP4li+s8rJuBx/xZegqtH6+l1l+Y99CP0lT6fw7o/GWt+MZ8d2Ue75bcamXA/RQE5F7yYhBNfNZbhurnNZz4a853ByPhPFv4s17l7a5PhsGkcpDuRojeHqoSYINbpRtc9WAseSuLYaaEgxbY7PpZFS8KlzGx2fH/y+b8W7/57Wsy2YW+DCn26bOEzaOteSeJbEsxSuHf3btRRzKRevIYhOuzbd/THXVsymbbQ2BKFBN1zRjYmcvUNjcFQk8t8s+1T8oENMLEUkDnan4MickJCQkJCQ8PjBVhJbRfMrSvpMOEU6kkNZj43qPnAR3uEUkt1IlGynWXmmnZ0m2K4WfQ7kJu/fJyQkJFwJro7ZtoSEhD1H0Dmx4zSCYOsjnE8FkWj1QMbhcql3AmeaPNSYgDqctdmsulws1HjHy78TXt620LktMrZkNhUFTzOOQgj40GPbQuNTC+lWkLoWGj69VOSOw5mGG1gU4BvEnvX7Btj1lOohs65GSYk2hnIQcG6zSqgNh3NujzgYIldP1+ojDv7B148WBzf5wPsofeJjZJ7+zPH3Zcoc/5bohMc5Fc2g8rGXPBtlTOxgsrWxjvWlzyH7wU9Q9OvUQ8GMZ8Wa1O3HZjVgNmVRqoVDhfe10HD30ia3HcoThFGp1HGckPYLlowm+MYtWSulQEKrPGagx3B3auNAxmm5LwlACkXWmTyRIeVItI4mALSJJlan6da036gHmrQjJ3YYmhZhQ3dRCyLH+pw7+T3YD8+W/MP9qyAP8Nkf/+2prbcdM6Fb0E5xlCDv2dRDTaEatFy4uynVQ04vprh/Zbri64QxEeNFwe76x//LB3/rJ3o+D2sVfvWVdwDw2r+6p/X5oWx8sdSM13nNNls2n3J6hSRtfNNXfimf/Mi/dXz21l//JQBe/Z3fyxt/9GdjtwGi57/TJR5UkkYZ89H8xKtfNtb2EvYJV1t8dZ+2dz82q/+dO52WSgFPPT7HrX7Ahx5e7S+aHEu5FX9Zz9IjJmrGlYlP17VEG9NXZLnbeLa8ItfhJOOGSTmUGSwM74cTUxzU3v5B/TeIxLZxuGEhTS3QGAMrpTpSCjarPrcfyfPM4zPce7nIfZf7J0EF2vS8i/uRc+O5DlUDTbEWAiGCKMkiNKZDQLhVDXCUGCp+juvSOoxx4zpH/tu3jbf+rr+10dRC3fo8ZUdxqoqvqfeJDxRqIbUwxFEKR0Vj0Kg6S+eyQsR7vD3a5cac9yzSluqc2BSmIaCT+Nq0nDoD3Tn2LdVDSn4wtF84iGGJIcfyqVb8RgnRctsM9fb9U/X1RE/JIcbWQFRFx1aa1XK9r6g+DsaYLnfTAS01jX1UonU8+qWJGBMlKUohsDt2oD27xWAMHe+hpsC7ZdDcyuyYaLdi//ZQ1iVtKy6XahgD1SAcKID2Q8Nyqc5yqc5ixiZ88y+R+4e/QtY6qwUJYxDVCrJa4dAPvY7ln/hlqk99escySgrStgIMctSJbmMhbVP1NaW2833sG74MVS0PfH81P5fAdS95NmffFVVic5RAtW07ihuZ2CWhhQT6XHbrJZ8bFtNjP7CEEBzMeRzMua3ng+ds36/2PhGrHp1JMZ92eHStROmlL8K5dLHjewnY66ucfPGz0LZN6b0f5anHZrGV7EhA1CZyLY9E8Ro/NFhS4FoSx4qSpQcJn3uTLPotJ5BS4Iw4bAs5F3CiezcIwYBjCVK77MickJCQkJCQcO0S6vh9yknw7P3RL9xxAGmPAlDVQKNNpKVJSEhIuFpIBMIJCQl9EQJsBVJvZ1rFyXA3ABo2q5NNxE3StRVCcPpAiouF/o43JV9z86LNha0alXrAwfkUm5WgJTr0G06YSsAN82kEhs8uFVmrRBNVz71hFlv2CmonbXDeVRzOuTywMob74IAOZqEWcF+tyKxnUfbDlnPMKKToDXvynnfFbw/Aa14Nn7pn5GK7zSShVWuSMnSlEpt/9nbOviASGe3EjQoih9yULcm6ilpgBk48BQbObZa5biZDypJXnUDYUoL7lreoTeAgu1EJSNsKxxJsVKJJ5jHmeFpErmjTG6UZHQnt91V96V0kNPujOrklI5cbP9RoBEdyHlvV4siz4KroPpv17Kj0KpED1KVi9M7IOIp7LpV4ZL06fEV9GJC7MZDV7/iesbexE5rOZpaUrPRJ2knZEteKBO+hgUo95OaFFOvVgOXilXc7HsgVvB73It4zzv324bf/Gp/+i7eMXO43v/I2vv8d93M452BLEasqhCUFxydw3XrS8Rm0Hvyu+v23/Brvfdff848fvmus9Xb3cewus8Zhe1QsbI21rSYP3vtZTj3h9tELXitc4We9MYbbDuZaf69X9l7IeC2yD17hVwTPtnjBLQe5d2mLR9Z2x/X9auOKXQvX+EU4yfhk2ogYB7nia26Y9bhzqci5zRqOErz8CQc4mHGwlSTUkHUlN86n2KoF3L9c5nLZ59S8x60HMwhBQ9A7HDXBATEw0IG9Hhq+6OQM/zCgysU0Lq9xW2xtrI+9DQOc2SwBkSCyXfR8aiGNLRWPbZQHVl6p+CF5LxIxDtyGIXI3l9EG64FuVNDZXkYAN86nObdZbVXnMQbqOmyJrddrPsYYivWwJ/4wn7Y7BMJ+aCjU/JEC4X7H2AwYTAkhOlyBu92emqLXfs5QcRjl8HR2c+fJkr423Hu5EHv5o3mXUEPZD5hPO2Tt3njTesVvjWEH8aRDvW7aJd/vqX5yy2IGW04mVFxMO8ymHEp1n6qvWUi7hMagGsc1NKY1njk5G10XUsClUpXl4vC+nfj3fyP/zr9C1IaPzWWtysGf+H7O/vHfYzLZ1ueznsXhbGqs/dEGDmdTKAmfXdoeM1ir8SrrCEAaA2cfgutu4mTDpXdSgjCqmlTtSoRM23KHLhUi9s+DUFOqBxTrAZV6SKANSgokAiWj57wUouFiJ1Ci628ZifrHdSD2bEXwwufgbG42Wty9BxHS98l88Rdw/4fv5ClHZ8cSg+8t0TH3bAtbRgmuCQkJCQkJCQmTEGjD8i4kfAtAE/XlgzAaT46qTrTrmDi1cQYjYtXW2RnHZl3yqURml5CQcPWRPLkSEhKG0mEgEnPaxAA3L2Rb5RDHYdxYmTGG1UoIGKTYnvg4lHWY8SxyruKm+RSHsy5L62WWN2u861PnMQaefdM8izMeSMGhbFTe8sHVclQeuBK29uVfH9ngBTfN0a9DGUygmnvZEw4y71mxBMLPvX6GlCXJOGqoU2a7Q4+jBAezLp41OCBd8TUpW7YcV0p33TnWPkRc2Zne0mu/neIH388By56o7N24vzCA+MWfghe8jLyn2KjsXDxX8TUVX5P3LBiyutDAnUubgxeIQT2IzjkMFzVO6sIziKofTCQOblL2Q6pBdE+X6iErY7oQN5lmmZfHQ8UYR0UTGc1760o6JAui7OWKHznANFFCcsN8ulXOuB9zKZsjWRfR5SyWUpJzWzU+dX6L8oT7VnPTuLV4gqPmHVD58q+NtbwAZlM2joocZgq1gHqoyTgWfqiHlrBvx1ESKQWlAYkFaUex2nVPlXzN04/l+NdHNiheYdfo/YalBHde3NmzOA4ZR/H047mWE1LzmV3xNQ+vVTqCdHHEwU3e9LLTvPav7mGzEvDkw5lpNxuAp1w/P1Qc3OTsY4/w9S9/IW//u/dOvK1xbt25hUNcLI1fIu1xJQ6GK241GznFbzdiEpHZlWRM8+894+o6itNFCsETj8wQGMPZ9cQd/4pxjV+Ew9wIB3HFDomIXIcgip2sVwIOpF0kYKRhqxpQ8UNsKXjS4QxW4zlcqoeNBNnh73glon2zlSDUphWfESJKPLKizE1cS2Km1M08mNlZ4i7Ej3U1l9KWg2T8xINBLtBKSuphOFAcDJB2rKHiYIgq3bRXfWmOowzR+K4eGoQQeEphK0FziFCoBZTrIQeyDpeLdUIz2C1aCcH1c1ECmTEGQ3S+x2XWs7CVRA/YJSGiyWnYvma7iZHv1pewsVFBNF5EgB9qyvXBLrfjMs4jYSFtc6lQYzZlE2iDLftHRmc9a6RAeKtWR4mowpiSkdvwMPfxSZBCEAQaV1m4aluwPSw+KiWsxqgyZ//hbyOqMRN3jSb73ndRePkrWx9N69l65DVfM/b6rnvNN3D2XR+hGoQ7EgjT2nLn8XR2ydGtHmo2K3U2Kj6bFZ/Nxntgpzz7+jkWu9z1RyV3Xvz1X4fNzZHHXRDNHwSveDGf/4d/4nQfYfwk7FZX3krEwQkJCQkJCQkTUqyFlGshG2V/amOVdgzRWL3sRxoDvR+cgnbYqbcayWzNfWmPTUyLYi0k56mpzjsnJCQk7AWJQDghIWEo7Z2mcebohRDMeOOXfx+3M2WAu5Y6BR83LaR4eLXCpWI9yn4zhg8+vM6777qEZ0luPphlrVznX+9f4VDe5aZjM5TaynIEdZ9DnqIahFxsOEredX6LZ5yYodKVOTdun/LJh7PMe9EE1uu+8AS//uEzfZcTwPOun8WStJwa4nLjfAYVo8ymMVEZwzA08KM/GHv97ZRKJTKZ3REZ9cNSguKnP8Ej3/A1HLZsjlvWROLgSWhuZSFjU6gGUxtQSBGVTl3M2H3Fr/Npe6C4bxxCA7VGyZNhKMFUB5rOEKF6XLSJnKPK9ZCMrVAKtqrxj0l9eK3nsVByewLsWqXToWnv9zVlSwJtkEJgGuUhBwmUPRWViKz1yWr2LMnhrNf3vSKl5KmH89wwm+JDZzZ4ZG180dCfvvmvefVrvzS2i3D59BNirde1JDfMpTue45k2ByltDJ6l2KoFlOqDn0XNcsDDyuLWB2SDV3zNc66f5R8fWIvV5jhM80q61h0Q07Yi5/Sem7yrOJi1uPtSma1ayO98+wvGXnexWESSxVZiqAhlEj7+kQ/h1+M7GXzmEx+d6vYBso7FEw5mCbTh8yul1uc/+/Z38a3PvWXq20vYXZIQ63S4tnst8XATVcYV5Vq/l7PO+KHV3b4vLSm461KJI7koyVIiKNQDzm9tv6cDbXjvQ2u4luC6GY+lYo2tWmf8Ztxxz0zKZqWRyOZakYOkIBqH1kOD39jzKEk2/jjRDzTH8g6Fum5VyKAhRj59IB2VlA81fhiZDQkMGBEZD7UwDcmdiBI6hKG5gMGwmLE7HJJDrVvVRxqba13La1//ag7+1q/Gbv+wo5j3LIQxXBwi/Dya93CVHDmW7/46cg82jeo3DZG2EoSh7nGFCo1hqa0ql+kzMXzbwRyyj1+1ZwmqY5a6nUnZA8XBEMVJBo0BlYwSIQeNZUZhK0nGia7LtbbEb1tOLxYy1nNPRMmhtSAk61gNQT20715oQh5cLQ1eB2BLwXrF7xAES9G/Osle9w3CEJ54KI82hqofEgJBaDi/VeHJh2fQ2lA5fw7/8/fGXqesVsn/9Z92CISn9cKxzzw21vItF2HgYqFG1uk0MvBsia0ENd9MHJ+aSzsT/a4bY6JkkEuFKpcK1bHj9nH51NlN/tOtLu0nZdR1t/qLb4q9fgE4ly7y8FqZGxez2Pu0r6ca93NCQkJCQkJCwjiEDcfgjfLu9NXaEdBTceTKsrPRiq9Nz7xHOGVX5M1KQKgNx+fcRCSckJBwVZEIhBMSEobSjFsaE4nz4qKEYGuCIOMgZ5BBVPze5SttDqgznsVnLhS5/V1/wpv//g973Ao+8ZTn82cv/C88/7aDzGQ9pDHce26Dz57b4rbDWdZKddbLPvde2OLDD1zGsSQn59NYSvLgpSK3n5wd2cYZT7FZDbEkpCzVcjqOyr53Bv3b25Z1Vcu1wcTsELuWjO1+05wQ8mxBsTi+2zMAn/kUPOd5k/02Jo4V7dHdy1vUzl3E/cav44CycET7FN147KS7HmrTU+Z8UvKu1ZqE7ScOdpWg4od9xY9xecqRGUzjgpuiTjY2ckozNOsVH0sKSn4IPgMF1f04mHGn0gZoZp/CFAxV9iW2unJuwZaMJmvHFSfbUtCcyj6Qdcg7kRuVRIwcnM94Ni8+tci5QoVLhTprFZ+tashyDHcjgPe96nv5kj/9tYEi4eYeVFNZ/vz7fpUjlytcN+uSGeL+k7Lk0PtGCsGs5zDj2o1tRBOrtUCTchRb1YCca1GoDU9kyDpqqJtULdDcMBcJrJUUFGsBKWe72K8fGvxQczFmaat+IoOE8REInngwjaMkb758Yezf/8l/+WL+6599CkdJ/HC6D7Lv+savGvs33//ab+NNv/m7U2tDoEEi6a7wlc1m+/9gCI7rjV4oYXdJ4qtTITmMcONihgdXhgurEq5B9qDrMZeyOTAl0dY0cS3JUqHOUox+msHwQIz7Y9SzZD5ts9ZW5aIWGGrBkL7GGOfH14ZbD2b4zPkCq5XOONM77lsF4Po5j0fXhzuPDio0esfRLLNeZ+ehe3+iFTSqq3zFq+C3fjV2oiBAeOhw388dJdisB0PjbZYUffv1tTCgFmgW0g5SCGp9xnH1wLQSQANtWqLv0wsZ1qp+hyi4ne7t2SqKyygF3ae1HhpsJVqmAlIKKmNWInGt6MdSCAwGrSHsOluCKGnckmJHY9bQmL5J2PlGMv9q2W85Lk9K3DnixYxN1deRmF4IVkp1Vkr1yMlLRM7Rnh0lxDabc/dH38X73vljaMtHhJIbTryYl33bz5DzrJ5rVptoG+tTdBybZDWGZjxK4FqNe82C/AGboNGw1PJFAseFMRIOrZXLHX/HjYeOYvJoYzOxovPpsJBxcGzJpY0qsULrXQdZ7qRBXZTrIR98eGU6KxtCPdQYs7sVuARw6l/+hnML34hrK7QxZF0Lr/HvQBvyqZ27zE+KTMTBCQkJCQkJCRMQasOFjVpHAutusv9mbQaN3OOy+3u0kLFZzNmJODghIeGqIxEIJyQkDKTp5iGInH19HRKaPg667X0tAY6UgOFJh3M8ul7uO2kSlZ3sjZKtFeu4tqJpnNhyeGlspLmuWmhYKwdUgpCbF9MYE5WIkCIKdp5aSFEPNYVayDe/9ktb2+9uxzPufD/PuPP9/Msv/znXHT+JpyR5V5H1LD57drNVJqIehmw2JqIud0yyDe+opm3JNz/1WKNMR1QquR5sl/R8xW2H+IvPXQIiMegNcyluXPAwZrvsYbQVwWKjdGagDRuVXvG1Z0lumMuM7ahb9Q2cuhlWV8f6HUBmF8TBjhItx+RAa+qBITSaWmDwv+HFHFI2qQElF+MyzkReNxuVoP9k4UTt6L120rbEtRT1ICTlWKzEFCr2I2MrMA0XnBjOwVKKsUX6o4grbo9Du4PVSslv3BPRmawHIVsDBszTdZkWOxJs72csCcbsdPAdH8+SHYkKNd8QDLOR6oMQguMzKc5sVKgEIYspBxnDQb0dJQUnZ9KcnIlK5Vb8kAvFGhU/ZKPic36rxuUBYvTHnvdS/uK603zVL373wPWfveWpvPf/+wUgchO62JiEPzHrceO8B8Z0BBKO5FKxAgvNZQSCIzkPbeDsZgVLilguQKOc6QVwdMbl3x7d5PbDWW5eyPHO+zvfE54lOZZ3Ob9Va/3mxoUU5zaq1BoTvQI4nLOnWsbJDw21INpH25JI9mbWrTZlQe0gRhUNEKLXuS0uYT0SzrzjvlWO5h2O5V3m0zZ2Q3giiMoDB6HhxExqrHWXy+OL7/7pnX8DTE8gDNHxWyr2CoS+40d+kbf9zBtjr+e33vvZkcvMehaaKHA7ygkxjmCh+7xGT+RucYxoLdv9xB62hWGPFc+S5F17akk9CfuL/Rfo33scpbhpMc1DK/vJESVht9nta/9w1mUutT0euVqJK6iTUpBuSxbb/n2EkoKsozo/bHPg7R6D90sJFM3lOzK7I4VZqA1PPZpjoxrw2YsFuvWhccaxSkA/o9t+wsn+/bHtBStPfAqpu+8cuc1WwuAf/xV0dSUXMw7FekDVHxxbsATkXbvHBVYb03J5yrs2SvaKepvb73dshJDb52tIu5v4oeHu5Six/MmH8x3uv9qAboo8bRlVqRqB6TrxoW4mzw/+rdWogOGHBltNP2l3tRHjyXsWhWpA1lW7OimvRFSaNhoT924nMLBVC9iqwULa5l/+4le4a/mPyN/ikfoihZBRvOey+hd+/Q+fxsy543zzD/9tz3pWSj4Labu1f7Czp9ZuPfEmOZ+mq4O707Y1Y0ztzuE75VA+EgfXfE15DGG7FHDdfIpAG6xxSvqNYLecdi0Jx2ZSHMx5zHgWrqX6jj+MMa1nkpLbSd2l5eWJthv80R9w3Xd8B0tbVYyB9bIPbF/rlXpI1rPIuKOnQbubu5N+hCC6x3vmTdhd0XRCQkJCQkLC1U+xFu66OFjJKIFPCji7eW3FyvYiDjqX3rvqxgkJCQnTJBEIJyQkDKRbU7hZDbjvcnGKW+jt4L7l/Y/gh5qnnpjFTdmU+szenJj1WCnVW4HVUwspKr5uCZSanFpI8fJvff5A54e2OSte8Iav4f/8/N9QD0KuO5BlLuNSrIWky5t81UfeiVxZ5vziCf7xaS8De7T7gBLRZI9jCd778Co3zac4knVxLNVyDraV5HDW5Xu+8Do+v1JsuZP0c0JpF6MupvtvP+dO3iHN/J/fo/QFT5jot5GAvP9k1Dh4VjTZUw9N7wydAYpFFqS1I3Fwr4/HZEwrNt9+zASRW7IxkVsuQMmvk3cVjqVYr/iE2jCbsqj4OpZI9dRCJnZZWMeSu+Icu1QY7uK0E7odhBfS0cTpYsZBGyjUA4q1gK1awJy3c2evlCPHdkK6mgh0JNQdt5TwuEQJIoJqoEk1nHRrgZ544K6E5ORsNHE2rji4HylbcdNcuvV3qA1LxRqPblS482Kh51lXvP4Uf/Cb/wjAS3/6u8ivXkSm0tz92h/hM8ef2LGsFNEkmBKC1bLPRiWarL15MU3GlhzIuBM9xy0ZTe7fNJ+lHoZ8fkT5WaCnzFI/bAFHcg6fXSqyVKxzaiHFSslnoyFA1qHm7KUtThzMsVkPqfiah1YrOEpw00KKrWrI5VKdhSk76xngwbUocDWftjmSHU/IOimjnmeuEuQ8i41KQMZRbFaj/6dsyVrZj/2ejHMFTOM+vbBV58LW4CSU131hrm9J4mkShuGO36m2Eq3S2RAJuZeLvfv1n175jXzu4x/iw+/5u5Hr/P43/34812EBW32Stq42FtI2toxf6n2vmJYLXML+Z6Ncxx1gsZabkgDz9ME8j6yWp5qw0s2+F2NfoQZeqXt53C6VEtEYvRpjnGUrwXqlzlKxxuHcdv+ttUnR8b+WQKiZ9iyJnr1x2h7nXRxqg6+jka4ALpd8bppPgYCDmWY/bFvyFq0/+tuSgoW0PfJ4GT28qlSx8d1cym6NZ5vMpqyeJOeH1qqc2Rg9Vjy1kOLB1UrHZzfOp3h4rfOzOMdJDMiFNCZysG0K50q1cMCzYvsgLf/yWzn2yv+EVdjs+qZtvW3/9l7+H+Gv39fxfRBqqiPG4AsZh3oY9nlPb6+9Jdw9lO/b7npocCxBEJiWMDvQmkt9+kt9G9/FXUtbPPFgjkHPZiVFf9V1G+c3K6TsOsZA2Q950qH80OWhc/wS6sEVuUYx6pnUrIZ2NOexJGrcMJfh3uUt6qHBsyQZR+FZirSjcKRECPjcpc6qXKMux5yrqAW643mTc/tXeFlI2/z2L383Kyc+wsytKaQl6L4a8idcgqPL/MaPfhHf/ZP/3rOO+pUoJzUm4sRJqPd3tB5EcOhIx987fc01Y0zH3RSqVhmxdOd2TdffACfmUygl0NqwFON51yTlKA6mXKSUOFPW81pqOu/kxYzD0bzHfMYhbVtEodrtdQ9KPa/6IZtln9BETuFR1ThB8dHxq+MAGN/HcxRHZjyWt2o94+RyPcSSYqBAuL2d0+wmGehJZGkiRcOkQSRi4YSEhISEhIResq7Cs+XQsaIUIGVvdZc4SAG1UFOoBgPHIFeUHXbK9sLjxdeGK1enIiEhIWFyEoFwQkLCQJoBq2YM/tSBLIE2u16etRZoPvrwGhlH8YybFtgKO90Vz2xUkSISCp/ZqPLgagVBVFJSNJxlLhfrfMH3fUOssnDNYOB3/M+v4WN//M88sFrh+jv/lV95y89i6+1JrDse+gQv++hfUUzl+fmv/Qk2ZxYJ+8xCnVpI8chapW2ypcY9yyVcJfnCkzPcPJ9uOClopIgcO0/Opfl8jOPqqMhdwW44p7RzuVQn79l4ao8EHvPzpBuCyWb8NWVHE6pxJ+eUEC3B3DBxqgCy3/QyUjuInDabdOY33s7J7/76iX7fXMdKyWfWs7AaZSe3Yrh19qN9b+Zbji6dB2+rFkJjgJaxFRuVgANZh6of4lqSYi0k40Tl85qOoKapgh7jcO1GTFoAq+XJHZDHZbXsczTvtiZP3ZRiwXPQGEyXS+skBNeoc3A7fqBHBh92imFb3DgtUboUkiEGWDtCScGxvMexvEegDXctDU6U+Yf/8X949okZnn50hucYwzNCjZQCiWhM/uz+7I8lJbcdyAGwWfc5v9k7EelaEkcJRhmhCyG4ZTHFxUIdS0ClFpKxBEcPpAg0/ONnLqCUQHpOx8xWPTQ81CbkaJ+Qnk1ZrXdENQhJ2QrVcMQt1cOO5IeMo7CVINRQqPU+Z9O2wtrDGbVhm3KVwFKyNalszLYYplQPsQe4uu09+2sGUlnWnh6X1//iW7j3Vd/Gj37rV9Av2qgsm99+/93xxMHst6OZcKUx+/SCuBqEB4VqSKFP8ihA1dct8eVM2m4IW8bfKSkEz7lhgQ8+PH7VlNjsi+f8YK5Y867QNThOJRMl4EmH8gQa7l7eGricFDCbsqn6YStheakwnqAN+gtmd4JrKT706Gbf755wIE2pHtK/rlMkjO1OvOzHMEFzk7mU1SMOXsjYrHav3xhWd1Ap52Khxq0H0hgTTcwZIjd8toafC89W+H0mP6My8LLl0rSYtqmGukfsvFn1Wa8Grb79/W9/Nzf8wHeSvufOvlUA2gXiqlLm5IufReElX6p1oZUAAQAASURBVE7pDf8DoLWN5mOtVR3ARG0q1SMR76VivRW3unE+jWDbgbkd12rGA0Rru+13vmfLVgyrXjNkHUXGiVxol4qdx27U3XP3coFbD2RxleoQ5DXHd3JAG5uEJhoTpmxJxnEG9gctKRhkeFrrZwcdg7jPBiUE1+XTXCxUUEJy++EM/XS2fdtnaFUBi2iXIQqUoDURn2k4c7uWpFALSdkSJQWukhjg0rnPs3z0w7hphRwg7hRSYDmC1PM0f/orr+ZVr//9ju9Dbci52wPmnbhdGRjhaNt1hM32/4wZfG3JAweRdzwN/dEPx2qH9lJUvvabWknHjGzXcNrbde5P3sHJr37hWL+/9LofbP37QqHKqYUMSkUV9laKtaH3Q5PDMy6erZA7qBgzCjkgpjyIrKNaCSAAGUfyJTcfZNjLfZA4GCDlWKScaEoy1IZCxWe97CNuuDnmHnSSecELovvHVhzMu2yWffxQ44fRdTiTsphtS1juSNwZ0s7dRBta1XssmQiFExISEhISEjpRUuBYgmrbMNq1BFIItIkqqmgTVeCZBCnh4kaVrVoAhdHLX23sRf+u2Bi37cV8X0JCQsI0SQTCCQkJAxECbAXKQBQLjEq5T0sg/MDFArW2GnIGqLelu5XqIe+/d5kvue0gm0GnuE+bzok4Azy6HomgbppPUQk06aWzY7XH8utoBM/4v7/OEz/wDqB/uDNb2eKnf/+/8fvf8D8x5kDPUpVA9zVLqYWa9z+8zkfObPKq2w+TcSwcS7BarlP2A2Y8i6qvqYUaJQV510IKqAaa1bLPYxtVlJTcOGc4mLEwCOqhplSP3G3yrkUtCMnaqhVsHIv/+zfwta+IvXjmn/+NcsNN1bMlodZUfI0tQTbc/NpFwFJGTkXGGMLQ4OuojDkw0l0GAZc2NzlhjffaMs31N4LrZ/7g7+DQITTRhNW4Xffy9/731kSXZttdxFWCrGcRhIbNMcTCpXrIfNqmVAtYq4yelC35IY4SrJXqhGZ7QmmQy9Xx3BiumlMexwiigWzMOYep0X3dCyHoLYQ7Pil7dxyW9xuhgdDXU9/fpilgoKNgRn3CydwriTGGA5nhwggBHMpGk09CCFxr7x052yd7Zxyb1ILi/Fal43x6lmy5AI9CAAezDnc/ts7Dl6P3///3olNYluQNX3ozH3t4nfVqQKg1tpIIJdj0dc87O+tEme/dTrq1YLsdGVtxaNajVA8p1IKGmCUi5yocJUFErm6BNtTDkNDsTonUfsx4dpSIYQQrbckPKVtiSdGRbb/VJWgeJEjpy4BHli2j81trPFiFlBg93n36wtf/0ljLj0M2N0Ox0F+cNIhXvPIbd6k1g3nCHc/k/33mPAD3fvpjfPID/8QLX/a1HDl1aux1XStBQL3bVtGPE+KUt08Yn/ayivNZh510WmdSNjOeNVZ/fRySK+Dq5baGOHgQSgrmUhYbFb+jus+kTP/tsT+uvvVK0HOPrZX8vq5E/g6emRVfc9/lMtfPea040PEZd+Tv/AEuqtrQ0e9caZxjJTuXL9Y1n7nQmSz48e/5RQC++bVfOjDG0C5Iy73rb7lH5rn3pVEf6MW3zPdUB5pP21zuElU3j9bDa4PLv1Z90yMK7mT7c0cp5lPbY5UOgfDaGnO/+SaslWVKT382pW/8jo61SBHFU2qh7uv+7loilng34ygOZz0sKQdWx7AtMfUqPnFdzbfqAbOuw5FsigNp01ccDKA1nF7M4lmK81tlVso+BnqF8V2kbIlnSUr1kHpo0MawmLFbcaZiI3Hmt37tq0l9kT1QHNyOtATLqTt7Pi93je1DbZjUW2BUnMBuODvHjSlEsaOGqP4130Xxzk9DdbTbrnIcTn71V+I7XsyWRzTFFe1E8ei2tmazaCGRRo+8WppmArWXfgUpS3LdXJq8Z3EoF7VLa0OpNvw45L0o1plyFHuRVeMqiT/CWu22Q1mOz6V5ZKXUYWgRndLhbYz7dFdS4Nk7G8/rN/4YFzcqHJzx8GyFN6MwRMc9NKblDN8ULe+Pt2VEu8uwJaNkpWtkeJmQkJCQkJAwJsYYNisB2sBGOegZIwrR2w8PddT3HncaLwjhSM5jqzbNitGPL+bS1jUzL5CQkPD4IhEIJyQkjKS9i6O63BikiAKZ3e43KVsiheiYZIHIESPnKkINlXrAP91zeeT233fPMs+8YQ7bc6i2TRqkbIUfBv2De+VyT9uH0QwU3v7mHyb/kQ8O/W1z2Vf/yU/x/575Dk4dzmOIRJrlehg51wzh+IxH2lZUgoC7l/tP7oTatJxqUrbirqUixcakyIXNKi8+vUC5Hh1zSXQetmoBW7WAc5tVLAEn59JkHAuBiFWKPHPzaUo/90vwQ/995LK8+wMdfzbdRlsTAI3tGTOGCHgYRjDgTA8lAIpas/nLvwu33976/Oy7P8qJFz+r9XecgH9oO6x82SuxpSDvKOpt+1MLDbXGJI4tBXkvckQUIipnF+jInceSkQN0rRGIFwg2K/5YhybvWSMdnp54KIclBePoxmqBjj2RNwpBdE0GYwrXpsF6xWfWs1FieqJB1xrucH2tISDWMyMuBsOdSwU8S3LTfJZ6MI6f25VBG0Ogo2QNSZRgUPR9jDE86XCWc5vVjveeAJ50OMvpxQyHs6PFCXuFEAJXKa6fTXO5XGOl5DPjWbFLzBoTPcjmU1br/f+KO46Q8yxmUxanFrM84VCOP/jwGT7wwAobFZ+DOZeTR2c6HJIsISjWww7noW6UgOvn0xRqQcNNvZNIVNL7+7jOR9Og6uvW8zdtK1KNeq9rJX/kNV2ohR0T/sOoBbpDSJP3LIyJyno7VjSZq4H/+Yf/xE9+43jOVqef+5LYy7pW4/rv95I0Xe5LAv7879/Dlz3/WX0WHsyP/+L/Gmv5fpwvVCjUQuZTkYA/1IbFRjn1QOueWeD2vuzznvMcnv/FzyNtSzCRWKYZ24tczkwj6cpQCUJsKVFCUPQDLg8ry32Vsd+fyVcNyYHcdZrumjuhe5IlYQ+4UvdGn+06SjDTLDPeuJg8S3WMm55yJA9E4+tH1srMehaBNrHe4bvB4ZxLztkO35b9kPNb3eK5wXfGoH5fvpHgqoQg66oOMf5OUFK0YiLVQGPYdkZtIQWuJfGsqL8qBRzJuZTqYYe4WIjeGBRAuiGs1Now51msV4NYoqpB+TCDEmWaiR+uJRvHsf9yh+/8cKwE5GYs6Vn/8EctgXA/ykP6zLtJ+s9+j8Xff0vHfqTu+xyLf/zbaNvm7B/8HczPc+uBXEtk213SVhA/YWa17LNa9rlxPk1qUDL4Ljw/4oxGc65Ca0NgNMVqiK0ElojinO0TwcYYAmNQIrrXRsUD26n4uiPOUPZ1j5AXgFsFlhdvvVIJ8jd73PWhv+fJz/3PA5fbrRF5ym6KvU3sF7aB7QSNO56B/Zrvxn/rbwwXCafSuL/xNrTnYQvwY9wyzXhlFPPq3X/ZdYjPvuvDseOGy3/zPp57wzwzKadLKGC4PMLZHGA2bTfchveGrGv1HZs7SnL70TyHclGFvodXCz3V7o7mhsc7hrkHd1OpByy3H5+nPRM++bGYvwbsaMxX8TUrW1UsJcl5NrYVuW+3C8H3ezc90FEMW4lIML8DM+yEhISEhISEqwhjDBVfs7RZHxqvGmS4YymJP8E8rC0lTzqUY63sc6EwOjlvt5n1LGZSNmlb9YzPpQBbiVjziuP0RcfBklH1akuJqDJnLcRShpQjWS8FzGWsHVVpSUhISNgrEoFwQkLCSEzHv6O/HCWoh4a8Z1ELdGvSZtazEALWy5HoMW03A+hQ9UP8ULNSijqrTz4xy9G5FO/53DIXGyXQPVty3UKawzMpLm5UePBSlMH2sUfWcSzJc25ZbLkJb1YDTi2keLCtjHmTmz76nrH3U8BIcXD7sgZ4wa/+d/7++7fFLQcyNuc2hwd/lwo1HlwrdghM+2E1Js0+/NgmxbrmYNbmxIzH4ZzTIbxululrJzDwUJuzzBMP5nr2SsmmM0Fjb4wg95KXIl/yMja/+Fmw1ccF8KabyPy/dwxsc3Nyw7MlNV9PryMuIHXzrTiPPjzWzz5Xr+H99ftJzc71fHfm3R/l+Fe+AFUudbSzu9wcQOhlOPc3/wJETkfDnDd9bXrEbU8+nAcTBacfWNmiMqEI11UilmOVJUXPRN0oQh39TgozUbn3yEXaRNvWUZmbKzEgqgWah9dKXD+XxpYKRwmUiuq1amPGFkA7UxJNXy1IwGlNgE+H5vvheD5y0HGtKGgxxU1MnY1qnYsDykUfSFvMuBn+7bHoGXnzYpovOJrjQHr/CIO7kUJyKJNixrXZqgUdwgttovMOYARsVkPWKz6hNlws1Fti8fxsmpdfN8vqVgVLCi4W6tiyzMcfXef6A2mKtVl8bVBKUu5ysR/1Njia9ziQcRECzm/2vtOHsZcCYbvNtavsh5TjzES3EfeaL9RCFtI2tgzxNVTqIRlHYoRgreJTDQyfOl+A9BEsL0NQjVfZ4Yu+7YfGam8tMNtO/DG4/pYnkkpnqJTjtec5z/+PY7VnEPUgEk/HEdPMpiwOZydz128XrjSfkdeK8W4Svry2uVau00mp+gGXizVCY3hktTSw8sY02O/30hVL0bpCB8azFE8+nMYY00oitFTvOMmzBVV/+9g0v0/bipyrYlddGIdxzoRnKZw2q89xXd/7Hf6ULaPko0Z/Zi41vfCwYLvCjasElpRsdR3DjK14+rFcz299rTh/ptaRrLiQ7q3gkbUE7/rMBZQUvPDJR6JKFUqSdaPaMS2nyMZqmkKr+bTdchxuJ9SGVJuL5ZmNGlIILClQEj6/UuEpR7NsVPv3Nb70t3584PHoptm2w3d+mKWnfGHP92lb9heJxmAnd/ih7/lmvAfvb7WxG+n7nPz6l/DYm96C/I//YeC7RQiGunF3czDjkHWsgf3kWqCRYoIKWUMYta5mZZBCLewZE7pKsphxGuMCQag1Zze3r6mFtE3GieIQcYiTpJ05OLyKTTc6hI+97y1DBcI7JdXP9VVAtd428pvwnDmv/i+Igwepv/lNUCm3DCBQFlgKedPNuD/+M6RuvRU/1GM7pg2kT3vPvPujHHvli7ALW/1/oxS3PfwQtwGqW2FM5Foe535eLtQ4MjvGGGWHPOPEHNpAxQ9ZLdVYKda5cTHDTMqm/QmwVel9/2Xc4e+LOKe9XA9YL9cJw874Y+Ztf0DpC54Qcy8g89Ftt+xAQ6kesFkJyLqKSj2M4re1OlrDRtUn71ocyXscnklF1Yn2IaGBMIzeW0pE/0+0JgkJCQkJCdcexhiWC3UK1SBWsps20dxE91zIpMMkA2AEixkHz5Zc3KpS2eOEeiXgSYdnCMPOaFV7/zBlCyp+NK/bTPhr/t9RzerX2z3YaQmEbSVQUjTWZ1riZD+M5r5L9cg4RIqGeNgYDuacKWw5ISEhYXdJBMIJCQkjaQ/8SyF4yuE8oQalBOuVGmcqVbyGoKxbGFn2NZbsP0EgheBA3uOrnnGUrVLAmbUKuZzHhUKNMnDycJ7HVkqtDm890LzvnmUO5V1uOZLDF5JLxToLabtjuxU/JH3suvH3s/H/ceJuC4/c1/F3dxnIdg7nHOqBIePIkeLg9nZkXcVTj+YA01P6chSWFFw3k0JJ0THhEhjN3UuDy4fc8cGPsBPTmqqv8WxJEOqxJoeG4fzWn/HoC+7gZtuOJTwtac17qmW++9jBgW5P5/7qX1jM2NR/9ifIv+edyLBzudBLc+6P/x6y2R23v+lAKIWknwtmHLKu1ddZs4cJR0C1QGPLySbfwoYouH2AWhtXpTwl6qHh7GaFU/PZ6F4LTWtytzm5mHIix6l+pSWNMUgpWo5a4srJKfYUJaPn/bSEM5YUrJRrLYez5oRZNYieD8boqU70TgNtDIW6P1Ac3ERJeNZ1M9yykGbGG2/C9kpiK0mp7uM2Jqyj7PLtsMlGNewpm9zO+UKdwxmXR1bKHJ31+PTZDT7y8BoPXy7x7FOLaKUo9Tmpo3Qs62WfxbTDA5eLY5vN7+VkmYFWEsQkrFf82GW/Vss+GUcR1EMqgWap5PPZi73n5jVv/zhv/fpnjBQJ3/HV38lTX/ZN4zV4gt385IOXeMr18/j14e66p297Em97+9+Mv4F9Qqbh5JjM1SZ0sG8viH32st1DtNb88wOjK9ZMi31/pPd9A6eLrWTDGVgw6zWc5cP276PJtX5mO1LA5y4VrppDJsTgllpSUu8qJS8RLUffrKummnDVLmCuhaZVPaedQBvStupJtrKl5OnHc3zkzAAxXgvBsTmPp90wz1c8+SgAFwpVPn/38tBfHRxQ6aMaGN55/1rf747kHOZSFv9w3yo3zvcX8DVFyePwn37rJ1j7l4/3xHcOZV3Str29PhEvgb2JbQkEohF/0FhSjqyGU/7pHyPVEAcP24YBTn7/d3L+A59sbbXTK3V72fY+uiCKZTTdudt/ECWTCizZ/xoUYtJEl0EtG7y+hbRN1rFARPENz1LUgrBDAFwLdR8H722a8Ro3ppNwzrGoBb0xnqYZQ6gN4xdHMhgz2rU2cjuOKsYo0Vv0q1/yfPOz3a6wZH/Zy7Fe/DL4yL8RfuKjhIUCYvEg1otejLzxJiCKXzUFA3EYNYQb9PXBf/8YR2dSnPvJn2TrL/4SEwSkv+gLufF3fmfEFg2XNuK5sS1k91pMEBl5pB2LtGNx3VymZwljTEdicZOVYo0bFvrHSOMIMh68XOC+5SKeJbGVJGVL8p7FjBMdA++u+1l98unRu/DBT3T8GWhNxpGEBoq1kHoYcrFQ7XBKvhzUuVyqc/elAgcyDrMpm5sWs/uyPLRuJF0LoviTSoTCCQkJCQkJ1wyBNlzeqrNRCUjZEj+mq4glewXCcau3DCLUkHNszpnxTFumQdjI6h22B/XQtPr8zeX80DQSMrd/abr+H5eWEFhEbRFCUK7rnrnuQWgTtXG16OMoQc6zGgleScctISFhf5IIhBMSEkbS3geq+e2CT8P5RqB8mKAs1PQEmw9kHBbSDobIESfUBmMisdJ9l0uc36ry4GqF5z/5CEHN55OPrDOfcci6CktGLjS2JZnP2BhDh2jyQqGOdfppPHd6h6AvowKfthScmPOoBZpCLWSpEIllAq2iGYkRHURfG/x6yNOP54e6xna3YzFjE4SRwNFREinBNBxxyr6m5AeU/ZAZz+ob7AUaAuaddWCrjQmDflmNk/JQGHDStvBGtC0whnUdsvFFzx9ZClYbUD/4o5R+8Edbn7UGEwaYgmPUuc0yR3PpHa0jbct44uCdIuLnWAq2B1D9ngGurXp/tEdUfM1mrU7OaZaZN61nl2tFpeQHlZaMMDtyb7oaCfV22c1p8Mh6ia3a9v1TCUJyTkMk3Ho+RKKF6jQdxydEG8MDq8VYQRUlBE87mruqygb5OuSh1VLXxK/o+L8Vo47lUjlgebPK7//bYzhK8OTrZvni27Js+XrgbPsoQW0lCFkt1yfKUg8nKKEVBymh3pXkEGg9sTgYIvfajS4XJs+S1LVhaatO1lUspO1WIsNSoc6ZjRqXS3WO5Ac7VL/m7R/n0oUH+cvXvQJM5/HILB7lW976zxO3eRLufHSN//aab+If3/HXPd9JpfihH/95vuHbv2tq27sSKRzN99/+FYReG1xth/fx7tS7F4x7TayUhicrPO6IcwCLxakkR14NaG2wJH2TdwOzu33TcZ4Xy8Uqx/JR0q8Ssn+7zOiT61kS2XDA0caQdhSPrVfH6v9bUmCIKkrtZMyQcxXrfce2hvsvlzs+kX36p5mUzeGDeS6UAi4WKlHFqlj9yMFjv0HccTSHNoZ7lssDl5kEMWCblUCTtttaZMab5Az9zjFuU1g2LCRj/urPY627GSnwXvUKLv7uX4zRqkgInLF7EyujvvXgxqUc2Ro7jke/dZrGf/tvb86zca3OqZJLxdFC251gPvR+Tvzw6zvEuKvf9jq2vuYbW8v4ZY2TjR9bkUqQn7915HLb94wZ6zinnL1xXhVSYj/vi/G/6HkDJ7Aqvon1DIv3nOu9Lm47lOXYbBTLu+7Hfgx+7MditDyi5oex3Y2dmILyvaRYCyjUeuOh181NHttcLdW4fzlKeq0GmmqgKdSi+J2TVy0hReZT91K660549df3jG/5/h8i86pv7ll3qKMzWK2HUVxT0CEObsezJEuFGkuFGsuFGl94w8K+FXEYItOVALASoXBCQkJCQsJVjTGRkHSjErTmzMcZ6wV9hMR6Cg48gdaxTM2uBKGGqjZ49vZ4pTk/49myp2TjsNltKaK5YYNpGF7RIwR2djClfXGzznJhWyic81QUx2kYzlTqIa4l92XfPyEh4fFDIhBOSEgYijHtLguGrcr2JE4QmqGTDK4S3LiQwWrYXWhjsJQA0+koHLStZLkYTeKeabgsrFUClJQcnU9x34UCEAXDnvWENLW6ZnMtWm7GVQS1AKME5RCsMBzbEXji+Jrvg21z3azXcmUEuLBV46HV3qy7Qi0cK5rXXt4746geh5n2U5C2VY8gNuuoVqfTDzVho7SaqyR5V7FV6w2YblZ9ZrzpOFj4YbyA/XCivbztA3fxrufdxkvSGbwBNiq+MRS05ue31vnvv/y2kWseJr6OI5aLw2Y14Hg+upf63TJuw+WnOVEVOf4YhNjOAHUtFV+suoNmxy1Z2zynTYfeflzJYc5cyibbZwISIqeZOMRd7lqiPpV9NqxV/A5xMETPgu4BejQI1zhKXNEghDGG1Uotdsa1LcW+FgcbY6hrzUbVJwg1jiVHvrPHIZ1x+cpnHOdisU49NGwF/ZNeXnJ6Htl4no0SbSwV4rkrdbNbV816xefcZuc73JY7K1O1UQmYTVmsVQJCbagFmg+f2aQ6pKxwyhK84KY53vvQ+tB1Hzp6itf+5ecmbNn0efNb/wiAtbU1PvCed5CbneOFL3oxQu2C4/YVeHRUg3CqbosJA9i/j9mEqwJDva657UAObTT3rQx3Whf9/i36fw/9h3OlWsBSsUKx3j/BMOrxN9dmOsQog/JHC/WQ+5e32y5aJQ7770Ong6dAEgkspYjGiv147m/9BDfd+e89+2iAD331d/HQC17R93dxSdmKpxyZ6VzxEMfbYQghOsbHzfXduTTKcbaXcIAu0RjDQ2tlDmQcQq1b56l70biPqKiaT++GUpaMlRwVaMNDayW0gevn0qSVxFGiww1zWKX0S8U6ni25vFnjc5d674PrZgcnIbUjBaQdyVY1JMCwkLY7LEbbU4wX0p3v++6k4WY/esazUFJQrEV9o0ALFtIOWddqleq8sFnlmcfzVAONJQUZJ3KbfMKihxCCtC05mHW5XPK5/XCWlbLPha3xRJ2DrsYvPJGn4od4luSmeQ+D4cSsB2y75A66ryal36RvP5r3wXBRmxkp+qx85N/jNq2Fc+Hs2L+Z5I5P2XJK49MuBjTGUb3ncle2D/Dg/Zz4nm/ufbcAi7/76yz+7q9z/g0/SvCil1K6v4q6PYWy40VYKusB3/o9/3us5ggT3eMmjiB9D7vATXcwIRrPjeaLTtAqRSxEdK0Mwph4z+vu3ZrxLG5cnCRhJlrTpZjPofmMTb8W7mY3OM6YNmWrVuIqgCMFzzg5x1w63jujm1It4ONn1vtut1ALqIYhqTaBfubJT4FP3t3WnuFx5VBrVsoBVT8k61o4UnEs7/V1/G6Pe65VfP75gWX+w02LONaVMzmIQ1MorAStCmkJCQkJCQkJVwfGGJYLddZKnfGiceYgfd3bjwvNzk26amHIYsYeaba1G8RptYG+49pmP990LdsxfmgsFxm/jK6EUg/NyATbYYTaUNGGil9nOZK0kLJlax+UgBMLqUjcnJCQkHAFSATCCQkJI2nvYKUdRbmuCbTmwbXeUteOEpyYSZFxbEJjugTGgqB/8j4VP6QWat71wEqPiCjUhoPzGWq+5pHLkfvh9bMOjqW4VKqzXPQh1Nx7fpPZtM3xuRQzOZfPfNV3cMdfvq1jomoQBjAHDyGXL8U+Lk1uOpynWAs5G7N0XDP7P26S2HolwFWCjGNR8gMW0naHk6wSEBiYS1k94mGIHBP6uSbUAo1j9X8NZN3pvh6M6RUGjvX7tn/f8cF7+JPnnOb5XppjKmqnEoK6MVhC8K/VMn9dr/LGjz2y02ZPDW0iFypHyt4JbaIkx6DDBdM0DS/IOIpCLWS9sveDs2EEDVfqQA8utRJqmPUsNqbgwjwOx2c88o69IwcQzxJDRXvXIhpNsRayUfU5kvPQxmDL+BMkloqui/uWC30H0BcLVTxbku567kzTtXhShBCkxpgM2u0BfBTEEK1s5pg6gRYaw4Orw4VQO6FYD7FklAm9Wh58fysh+r6X+jFp0GUac2KB0VxuuIOJxn+6Be4AMykbP+xfajUu9cDwgYc3Yi9/JO+SsiW3H8lybqPKWmUPn6c7eXE3mJ+f5yu+btvhybNkTIe/+Oz100MbQ8WPd10n7IxkzjthUir1gKXNxnNdbMtyh9E9odDz4bAftBFo06hSMcaPhpBzFJemNElzNN+bAPrNr/3SVlJfv6P0vL/4PzzjH/6IP/vlv5x4u5LOpOCd4FkC3/T2jZ58OL8t+Gn8L5okG38blTCgHmoul+rMp23Wy/6O3jU5NxrP9fucGK/1emha1X8eXe/vYhsM6W994nwhdluHEWjDVjXajq8Zq7pN3lWUfN0jlO7uU2VdxYOrvfv48XNbvOjm+VbpVVdJ5rIOtpJYQuDaisM5wYFCVKUqbfd3Wi6VSnDuXqxD2+XrhYBLKyWcrtKmKUdx99kN7Ib6ulgLOTTrcabQud+Hc9F9FSfu1E517gArZb/l+GRav/Yp+5qso5BS8vFzmyykHe44kqUWGoQwjYRiWC7WOJR1O5ILLClQQnCpVGOzGtAseJCyFdfNptGaRsnTaHn9I28co9Xb+3j9XCqKoxko1wNWyz4zqc5xXvuErS3HHz9NMg6KgxCQ9ywcJVpu3ot9RI++juKUTVxLknctaqFmK8Z4oFso3+Lz95H9nqh/POiaMcCxX/5JiiLgtrmXcM68f+T2AIKaJrxbwytHLNh1gzST0eP01fe6f7adSNzZ6JQt0QbK9eHtdZQY8l7eRgnB4ayLARYyNjcsZJhobw08shLfcTzn9Y+/7mY0qn3dos9nAJaSfNlthyOjA2NQUjDqeDSfg/3aXvHDodV4RoldjTGERkfJGQ2DBV9rBIKNqs9axSfUUfLK2Y0KC2ln4Pa6w7K1QPNP9y/zZbcd3rdOwu2EBsKQRiJNIhROSEhISEi4Gtiqhj3iYIj6Ja4lYwuFXTuaY243r5k0qdGSsNowSVnM7IKpx8jtix2N92qNJOLuPl89NOQ9K9aYrR+ONd35yvZ1hSaq1J0IhBMSEq4UiUA4ISFhKJ3dqiioWtch9y5vi4MdJZj1bI7kvJYzcNwS3NoYViv1/5+9846XJCvr/u+cU7nzzZNnZ2ajm1jCgoQlCQiIIAKKoCgoAgqmV0HxBREUfcUAKkpQFEwkQSWr5LCBDeyycXZ2J947c3PnSue8f5yqjtXd1X37htmt70fZud3VVafyOef5Pb8HXzm2irPl3iVgKy7HxfvyeHCxgidfNoNnXjQDALjzXAlsN8Fa2cFFUyZOrNRQrLmYTmvY/0uvRv3r/wnj3ELPYE3YSm4Y8D/2X9Cue3Ssdoe/FUCkS/AglCEn72xfwA4EopS0B/9ypoqq62N1CNGQyggymoKVHqLTexbLuGwmE3Suh2trFHVPlgBxPT6SCKzzcD3tm/fg7PwJfPLHn45JUFAAFSFwMyF43Se/gt+cndt4o7HxCfnQVUihBGeKdazXPagRM7dR2wmdW6KCyfG2vLni1rD0iq7QntsSAPZkLezPA98bwdVrFLKGsmFxMNC+RxvJGD0f8LiPddvDQqnpcLNel8/4fTkTOV3teTVVXA+LZRs5U8WZCGeWTh5YqeLKuWzbwN/nMitXAIj56tgU/CFqPU+lRnPNiUP4iAgnhWRAX04SxT0+7mZE0jsIhf9Tloqi7TUCtxoj2JuTx2dLTueQtzohUqjU6rBYcvye78NWwiz6qZQGEcg4hJCOR4McsHUm7YeHuc4AOaFVcXxMmgoKZhrfX6jA5RsTKW8ncV3qh1rnFj44hBBYKNd3XNLOQ5ck2j0eHn7HsVRvv0cXq73HmeNm7E+ksZ6+9pX99OueBdpnE+HnRq2MF/zOy/Dv7/hI9IILC3j5238WrCXhUQA4ftmj8ZVfevtGG91G3ZOVJ/yOIy033b4njNKh+0RCiDb32ZWqi4KpYK3mbYdh/UOGquPHEllHVTcC5PX0xftW8ORDeTAik2hNRYWpUnz6tjOwNIYnXzSNgzkTd52rtJ3DM3fejE+9+eWIujupkcaj3/Jfkdu8ZC6Nuxfak+KfcPEUOuvkLJQcVCemYa0sxtjDJv/2jo9g75qNUx0uo0++II+q66Pq+qg4Po4u13B0uYbrT67jGRcWupJzH+gQjSuUQFdoI0kvPKK272FtoYh8IDYP17KvVun7HOhFqqVaz6SlomCqACF4YKUaOR+oj1BGddh+c1wO5i1wMXiPFUJx6XQa4dEJndmrrhsr2NxLRH/glS9trK8X4YxO+k/+AD/0+evx7rdfjfRjTSha7+PoORyVUw5+9tf+Z2DbehEnkW+nPAtrLu/rHBzid4j/ey7HgclAKH5w0uqaU9qMWTZdoaAx5wg3i9Zxcfd2ZQWCoarg9VjXICMKbUByussF7l6Uz2QlqKaQM5U2p7vQoMDnItI5uLWNUZ/5PKh8eJ7ABeD48niHQuHzQN+ckJCQkJDwsMP1Oc4Ve89LDZPs03TS3XiP8b7lCqpBVvVSxW1LblYogaUxqEz2uzbDXXjSaiaxUyKrXw2bXO5xEVmdtFj3kDUoivXh42SbHWpI6Tu7akVCQsJDm0QgnJCQ0BePN7uZQshy2BQUBwsWlio2aq6PS6ez8LgYSUhac3382/fiufYuVly84Nr9uHjKwKn1CjgI9EA0deFMGsW6B4cQZGwPHgS4EFj/5/8E/dWfh3b7rT27y/XZ3Tj2tx/DfjBoVgqoxnddPPbIJ8detpUbT5cwk9awP6cPPXlXczkmUxooBJar7lDOPZQAE5aK9ZrbVwwlAHw/qH/RKeYbFlnKQ2YxKpTAH0Fp6fLuBszu2o8XffPets+eM3Iro/G5QEpr76zbro9e5iMKkU5DIQRS3FX3OBxfioM1hUINfh+ee5URrI3RFZILAUYD4WVHFmZo+nFyrYp9OatrsLNac1C0PeQMFRltcNaoHQTp+4nj4ri2jQOFEuzJGGNx/AgHopTIssAaJeBCwPPFeSkWtn0PNZcjp7eLpz3BcU+fktsn12tQJ2RCQecznhDgTLEmBYwx7NkIgIun013Pk/Da2QonYZdz1DwPaVVty7IelmLdhZUebzdaoQSUSofZ1vtJQD73FakvjXX9af3qTA9oQ0Zn8LiIfS6Wqi72ZHUsVx3UPYHdGR0HgtLL1ZjuwRtBjygF3A/b83HfBt2VlyrtE3oTloqVAe/ib58sjiTqvXIu3XCrpQCumEvBVCk+e8/K0Ovqx+sft7/rs82YDHN8cd46tAshUPG8NnHwQyX+ev6djYThePid4ZmsAZ/L8SABQcZkXc/uhzvphZOgQsR+juVWu8WPaZ3h+a95DhSnKXBsXd/BO2/EK177TCy886+AuadurMEtbOYVXfO9Luee1ZqHqZQ21DWU1ljDXbWXxnGrxkiD+N58GZOWCkoJZtMaCOT4Z5z9OE1hjcBjPwQEplOyn57RFdieD11pugp/5dgadmc1FEwVlsJRdlx854EVmCpDJqWBE4K9WR0LJRtcAP/x9l/EqZu/1nN7vF7G9W96Mn7gt/4V6Xx7knHUeRM9Ms9v/OuP47qfuC529So/cNPN6AoOTciqPFLgRdpW0NkbJzEkih4XbY7SncmundV9uGmB1uNVw4pCOhQTZA0VdVdAYxQe7z7Xw17tmzk2ZJSCxxhURTnQ+4LjTMnu8YvB6J/5d7nuGMuGZ3vizb+C17/9VvzF71+N7ONMCAEoenO853vyQVM+WsdLfuRjSGfzA9fdb++j5nco2d5k3lEZpXrJTEbbMhfZybSK7RxRcC5Qsj2kdSVwCB6PEDpKdGyoDIXAlT+K+XIdc2kdBGTg8W8mITSXCx3/pWM5Qd5UwYUAF8BazW3bp15Jq99fKOLK3TkQIoU8si3Blkgglt4h7+5WBJolxxOhcEJCQkJCws7jXNGJbaq2lezK6Lh/pZlwWnc5soYCz5fx5YrtNcaSG3Hk7UXZ9sA5x3qL+cpVc7mhj5VCo+PTri+gUDn+C0XYccaYtsc3JTnQUCl0haLq+siyRKKXkJCwPSRPn4SEhJ4I0T4BvFiso+y40BWKlKrAyjGYKt2QyOPz9y0NtfzJ9Tqm0ypuOl1G2ZG+QRol0mF42oLtccwXHaR1BQJ1TJoq0n/1d5hIa1h9xzugfOJfEXbrFq55PEq//y44dQeHJk1oFBB/+3cgL3/JwHaE7sFff+Wbht5nQJZnL6/UoCsEc+nuUq+DWK44mLTUoSboc4YCn4uhM/3kxOzw55gS6YbBhYAQgMPFQIfFXsQPXY+fSkdgNMowd8JSQQCs1Ny+jr8uF3C3QDB3ar2G1ZqLvKngQC4FQIBS4N6lUltpRdsr49BEe9nEpYqLmufDUBkyMbcXOgn3KoMTz69l42gKBSUbL81CiVwXIJ+BtscbUVVNITIAd55R9zhOF+s4S21YgYh9T9rAifXBpS+PBZMEuzMGCqZ8XimMYLXmxL6nLZXhwqkUvD6Xf2fJ4XHjcY57l6TjTN70MJvSobS41JhKfKFpzfUhhBg5cKgwIt3Eg8crF0E58j7zEx4HTI2iNqCEqhAC5yqjBa1bs8T35XScXI+3ntNFG3tzOlyfPwxlaDEdm0c4MGmNwu5304zILzxmr3Q0bmEr5yiH3VaUQERlBIxgy4TGQgjYnOP4anvViIfj9Z5wPiLvl46PumlVtol2B7jOxXuJ5DYbjwsQEtx5/S3vgq9kI/OmhmsPFHD98dVNb+P5wo+97edjLxse4ue8/TX4zJvf2/j8Ba9+NpjnRF4KrSXL5974OlQO/SdSR45soMUjMORDWgiBMz36PssVBzojsGP0fVVKUI4x5tsp75DTRQenO9yMrphNdZUY3Uh7TZXGEggrRAb21utuo8LUvpyBmbSKc2U5j3Gm6ODmM2UcCxx7JybTgBC4e7ECXWU4FZzDb//zu/uKg1v5/h/9BK79w6+0fSaEFMHXXA4/FPAyGtlfJyD41o++Ej/46Q/2FQmH80gf/svPAQCKttt17Pfl9bblW/nCfSt4ziWTPcXbOpMuT6s1DxmdBWN0uVUCWZ2oc52n3/4eHHjdT/Vo8WB8AWiENMZy+3JGdAJqzHGTxggUKudOolZhBBMyrh+/clnXekb6lUQAscr/9koMmH3PO4feZvqmb2MFwBt+91bc/L8fxde//QdQL1ShGBTcE7BPOtirPAk/+7p3D73uKDwuGs68HhdBwr+Aocojt1OeXcDgy2rY4bqhUqSMjYXLhjk++hBzEONmuWLj5pNrsH2Ow5MpXDqXBdDbAXgUOtd1oGBhtboeuexqzcVqzUVaZ8E85mBax+GOx5HSWPCcYJhJGY3vpiwNLhc4tV6Dx0XP+/PkWg0n12qB4UL39xqjuHpvDjNpHTtdKMxokMCx85qZkJCQkJDwsCNjKKg6vOf4Zbv612mtvd/rcgG37iFrKF2JptomVFmouH6X8ZDHOYbtZ0WNHdMahSeksZ0XGJAN49SsqwR1d3xnZiajYiK18cq3CQkJCRslEQgnJCTEQgiB5bqL42tSGLEvZ0ChdEOdQsfzG0GfOBgKxd6cjptOldo+D0ss3rNYxf68IQNKNRd3P7iC3WmGvXNZXDiTQekVv4xzL/xFrBRrWFsp4/ZjS3hV3YXPBWqujzXHx7eKGeRe/Kv4oY/+GYCIYHjLf7/43n/HZdMp1D3eMwjU2n2Mqsrm+AJnSg52Z4YXCffrI1MC5AwVlMrARN31R3IuvHQmPbJoj9F42Xhx2EldZiGkI5TKiCwFKORE9nYngF4+m21McldcObHueqIx6Fys2G3iYACoeRzfP1dCwVSwL2vBF6OJecPrv1cQYSvGPJQAs6kR7qMIuOh97RKgrYwlFwI+Dx06SKxg4XYQuqx6XDQyfYv1cr+fdHGmVAchUhzbz4E8ioKp9hUHA9j0G91pcbJaq3lYq3nYnTWQ01VUXK+ni0wUVZfjnuUy9ucNmExpDOzjiIYVSiC4QG0UN3WPgxABx+fSKZxQUEIa5W6FEFiuOUM5y/fi5LqNgwUD8yUn1nUdijEunxvPfXg+oSsUQsiAsuPzrpe/z2VygeIAngCmLRUHJwzc2NGfOZA3UHV9XDZrAQIwVXnfdh5/2+N47iWTmE7pSKkRwznS/E+tU4xDAJ3RnkHRrcCJSCoxVdp4l/hBQpHKpEtTzeWgAFRFvnddj8P1BVzI47rZ7xghBM5W6pH31U7qnzwUaQhBzxN26hyvQIT7fK9DG/OQb4XrfxSnVmqDF+qDrpCu/vDDi+a+0xFSMKfOHMORSQsAkL7x6z3Fwa00xgcv/hHg5ruG3OLWUvd92D2SfgRkeXQ74l3wc0+5AqXV5a7P9x6+GH/2iS/32eLOvRb9MXcUfCFiO3mW7PZ5i5WaLHXaStd1RwjW6j78qodJS8Vy1cUtH/+bodp48ztfgmve+G+Nv02N4k3v/gVkW8ZMAsC3n/9K3PuMF3f9/t5nvhiliRk84+//sOc2fMrw4b/8bONv2hGhJAD+985zuO3EmtzHoJ//pCt2NeZzPn/PMp5wMI+ZtKxgEY49wupFds0DIzLRueL4KFgqlivytwolMFQKjVG4PoftcaiXXjzUcQIAXHZ5258iqOBVtF2cXB/uOW2qFH6Lm7ntCTg+YGm06zwzKvvBukJBCIfadlkQKJSg7m5uwiKN5eMs+wQFU4rsg2mjoJXD9R87l73mqS/GNU+V1990SsNaMKfJRTAn0di+7CO3/Q2ABi6oKzUHOvPbxsAzaR1CkK75EEujEBAtAfKteXYZKu061p4vGo7bpkpRHZQ8O2Rb53IGtqqHb6h0yzuPQggsVx2s11zcdbY5Fu1MSt0skfCenImq4+HexWYSQdZQpHs65PktOXJuJk7Fp4brMQFsnzdc+zvnZzXGoDHgwsk07losDZz76ZX/6/gcNxxfxVRKw6P3F8Doxg0KNgMBmWDuQYqEla2/1BISEhISEhJayJqyWsPpNTsy3u5sU0zR590VZwBEOgXXt2gOcLFiY7ol0asXGiNB1QfR0IgAsgJj1lRQc/2u+T8uoqulRDNeD+GlsotCSk1iCQkJCdtOIhBOSEjoCSHNziEhBBdOp3F/4ARycr1ZgvDKuWzPybN+HF2t4dCE2brFHksKMEIaQap+pam5Kx1RPAHsnjAhPB9V28fND67hkfuyyE2a+L7roqopODiXw9HTa7juqj04WbSxL6thNmvgpkOPxHd+9j147X/+ISaXznS0BDhxxePw5de8FY/bl8V8ycGDq6OXYwwxFIoJc7hHcuvRyhoKtCAaIIQszbE6pIAvCpXSkc4to/HKX56P5EwFqzUPYsuqFAuUXYGFooO9OR2tpo+7MzoMhcnJ7ZZDbQUuJBXXx8liFRAA6XMuVmseqm4JMykDOUOBqHtwPA4ueCxHXpUBhPY+21shnt6ft2BFCeXGTOjAFI1oJAIoVAYoq9sgnolCpQSzaR1ny6OXQwWA08XRnncsRnquXGbzLhYvYuB/pljHMnN6ikH64XOBB1ZqyOoKJiyt4dzr+QKzGR05vV0oGzpebURQ5XH5jGeEYKnqYCUQqRAig9UbFXN0BuEeXK0jozPkDBWWykAJwUrV7SpN3MqpdRvTltrz+4cSBMBkSm048/dzC7x8NgVKZGlVAuAbDzadkyYtFT8wa4EFIm8CAk0hMFWKtVr3seYCmEvrMJQez7wWc00jwpVqK8TBjEjRCxcCKm0XBKmMgNGmKNjzedt9QSBF147XFHhwRD9/Ha+fT9/G8QXH0eXKjiwDN04mzB0q7BfJtGnCeLlkKoO7FksjVzV5OBPejUeXZWWJn/mT3x76t5WFBaTm5sbbsDEhhMB8qX8/d7nqYqrlvX/9/34Of/Jrr+y5/Kn778GLrt6Nv/rirZiZmdlQ+zwuYKl0y8YWLEJJtJEn8lrNg6lSpDQGn4ueQmEhBI5MWrh3qVnlpOr44FzACAT+rcmarRwoGHhwpQaVAqnS6aHb6K6fbfz7rR/8FUyWm6Lv1n3/wU99ED/4qQ/iQ2/9MNBxXucf/WT8w6OfjPSDR/H8P3k9WJCguDY1h0+/7R+6ttkpgRUI+0/ADx6ewLHFChaKdttSvgC++sAannvJpBxnR3TswkecrlAst1SQ8rhA2fYB+NAYASMEFccHfdmrMPmRD/Q9Pq2kPvKxtr/PFO2B90/P2T4R9ueaaIxECz+Drnb0eEoGhuMHfEej7LixRqwiSCTvJG6Vpk4cX0CjBBxN4aRAezC8rbvadV1Etbp9nDGZ0tquSUalY+ogEW4vRnlmMCKr7RASLUKQ4wQ5ZorzPBxmXlKKKHu3WgiBG06syHsqYrGoX4afzWV1XDqbxXLZaexXfhvGzL4QuOH4StccXdR8zWaIhEEILprJIm9quH+pjPW6h1Lda2xjJq1BZSpW63ZjLlJXCCylt5jCUhn2502wlrlL0WfAmzOUkQw0Wqk4Ho6eK2MqrUNjFLpKoTISXD87a/ziC8D3ZQKBQodzzktISEhISEgYDSHCcReQ0mVMJaUzXDhj4lzJxUpHld/hhKtjbCdkAteJtcFJnmXHx1xaAyF04NgvLimVIWuoSGkUOmONpDFAVu/RGIWqyH7WetVtGwfSIDm0lYwhY+V1j/c0B1BovONsu3ysCgcugHLdR3ZIHUhCQkLCuEmeQgkJCX1RqJxIAnpnsY0qNDlUMPG/968M/TtLpTiY1xulxNZtH77Pcev9S7jd47hqfx4ZSwVVVXzuKw/g2otncNXhCaRTKm55cA3zy1WsV2zk8iYK01Lc7PocWV3BBbMZXLjrEnzr6DLemv0j5E0FB7Mq7j16Gpicwg9dtQenijaunEvDVAgO5g0QAPMlBwVTwWLFlcGMIQN3ty+U8ag9WViqdOaI45SgUIKplIq1mhuZ0TcORjm3YRBhnK5i2+l02Ml6zdvS9ggQ3HhSCslahfkAMJfR8LyLp6EprGOgQrA/b+BM0W5cG1m9f+lC2xMNt5+CqWC15iJnqEj1CMA2twS4fntpv1YYBe5aLEV+Ny7ypgJT2RnOHWGM1vGlA6ZCpUPPdgtRGKWYMDXwwDFmq7VuapwohJDCQXcTjhUXoqc4ehRxcCtF20Oxw+ns1Hod2gSFqUg3HFWRrqfjeC5K9yeCjKY0BMJCAN0Fg0dYd8RnJdtHyfYBtE9c7cpoMFTWCDAJASxV3R31vN4sTJVCV6R4d6kSPxmHCzlB+I3jxbag5A/MWA0hDiEESiAkjhIHh1iaAr4z8g8iURiR1yUHfM4bDmB26P7b5z4XiFe6ubl8/ItOCKDueVCoDOCG7lQUpEsQUHZczJfqD3lxMLCDA8U7tV29eOhfKuc9Hgcuncnitvn1wQsntNGZojGSBOb5zwK+c+tI2yeIl3DW9aOYONyP1U9bqrgomCpOH3+grzi4ldc942p87NYzXZ8TQlCwFECQRlMLpirnAlrb3mI9SgRwdKXa6Ee0vroO5I3Gcp2/7Zxe2JXRoFAqVyiaPxPBshldgc7ax1etjqgkSEyuuD4eWKk3Ky316AgeLBgwgr4TJVLQZai00ZcNSesK9JqPCwomPCGrMpRs2cuVlQV87MrqWK97ODRhStfIwFF2pebBE8BC2cUHX/uCyHbE4W3vex0KtWLjmLQdg3A/AbzirS/Hf7/vMyCpFEyFYl9Ob94jl1+K9//BJ5qJTkLgQkuBEljeUirPeVRBrrSu4MCEiadeNoNL12r44NePd50/gug5kklLhQCwGhzXfreMHJ/KlVRe9vOYPHUM+Mr/9v5BAP3P/27/mwDnynVQ0j8xuI/ssusTRiNsrGKy2a/ijfYLW27noZb/5vH1xu8OFAzsz+s9jRNGpVOwvtF5vX6tCx2/GssFjyJ1QJK1HCfIhIE4Z7vkuHD9Fsd8Ej5vpWSVEJn4KwBcPNNfvn3vYgnnwip4Qx56WVGGYVfeAOcCpboHQ+0/R7cZKJTi6j153HxqLdbymyESFgBmMgZmMgbqro+a6+P2+XU4HsdazUVaV7BQandkUGkde3LyPQI0+yCzKR1+UFmplV5Cb0oIdmcMTFm80SYhRKOPQwAsVx2UbL8t+Z8FBgCMEBgqQ95QoVGKYst43QyqCe0tmIE7/M4ayHABOIFQmJGwCtp2tyohISEhIeGhyULRwVpV9hPyloK5rBZU+CDImQyrle6kQxZl5bsF5A0VJ9AuEJbCXQVpTYGuUDDanOcHZL+nbHs4V4nvokUAXDqTCeKEpNEHbyUMB8xkdaT0dgkb5wI1t7m9zn5MxqCo1H2EIwmFSpFxp4g4bpxWADBU0lJFZeOEDtJ5S+mbmJiQkJCwmSQC4YSEhJ4I0eyQAUDV9aSItmBBAHA5h0YZPC6gK3KiTARBKw4BIdC3hGuUK00cqi6H63P8x02nAAD7JkzsLZiNjLwbH1gFgRSnXHbpLkzPZrB7JoeUquKKXRnccPsZMEawpqj43vFV5E0FF01ZuONcFd89XURKpchldPzwNXvAAKgKxaGDU5gvOViuuTg8aWKt7mHSYtAYQd5U8OBqHfMlBxTAXN5oTDJLcSDBWt1rTiRHwAVwwykZhEprDFfvTg8U1LlctLnBjBONEVw6ncEolU0Y6c7c2zgPX8VFv+raCyUHdZ9D63CIJIQgo2mYtHqLIvshIv7Vb9l+wcBjK5VNEXyGmCrFrrQZS1S/HbQGEHVFPg+kQG3rlX2UEExbOqYtHfevVoYS4G2U+1eqOFiwkOrj8rxZpco557hnubzlougzxToun83Cdjlqzvg3vm5vzvM/LvOl7nfa3pweiIkfukxYKiq211e82w/XF3jiwRyOrdRw57kqdmX0LsFTzpSlsftBCbCD9cFNh7/g+b+ZZciGEaULyOdRJwSyzK8VBHxtn2O+aI+9xHrCcOzMN3tvattUEnAgm3AZn8/3hucLXDiVwn1LlcELP4QZVqQGAK6qb2yjzuiVLPSWKkJalKpyA0j34PhtW625+JlnXDvUNl5x3WX40FfvbPssKsl3Nq0PrOCS0hR87YE1uBvo3B6aMAMxL4m8CFRKYlUkcnzR5vbbi0lLbZRS9YVMInUikvQqDsftC+W+67p/WQYveyVpTVkqnNpgB6QoHkeWe4qDWwlFbk/7hefg03/7BbiOh7SlNe6rUt3FnfPtSbK7CxaK1fZzftlMCkcmzcYaLZVhNq3i2kMTqLocGUvHUy6ZAvE55iwFQshA6KP251AJKldYKoPDpbtRyfaxUnNx4ym57acfKXS1Pa2xrqoXBID1rr9E/ZtfA3/DawHBu14dfjaP2sc+g7npCWkkIMJ5AA5fAJOWAiEIinUXmiLdnlrfFUrP+7Zbfuh4XCZZMgLP54jbjfQEh+uKhuA0XH3nlhXG0F1kI6p9ovGfUECoqxRTKbXpiBqJTPiLYv2Hnov8l/6r7350sjY529aiB1freHC1jmdcODHUegbBGIFKm88fQmT/uIvwQmwentYvG/+ipPm8FsH/KpSg5oqegXklRiJIL3c1LgTWbQe6QmEyGXQ/U6wPHJ8SAlw8nYbCej97F8t13Ls4Wr9BoQQHJqxwa6CUIGdpwV9bP9u5O2eiZLu4L+b+bFQSv1p1UHV81DzpXL4vn2rsN6OAqVBMmiqOrdSwWvcQVWfADZznD0+kG58ZKoXtcuhKIO5t5rs0xodRlxkltCE0jsLKKjA1iprD+wo3/CDB3edCJgJDimaOL9dkaWtLQS5I+uEtT4ztnrvkQv6/TLySYuEdOp2akJCQkJBw3qK19CvXqkHFBAFkTTmmi+pf+dtkMCQEcNFUCrrCQCHNNFqnGoQAvI7utKkoMBUFcxkD31sowlIZsrqClMZgKAw+BO4+1z6uD5MB5dRp/32tu36XQNjQFADNeJQbzMGqDJhIaVivOm2xEo8DhHQPJD0uoDJpejWIzaiSvFB0wChJnIQTEhK2jeTpk5CQ0BNftE6mCVRtDwcKVkM0SkEb4reoss8AmuUfGxYnsoMpRNi5Go1WZ5qTKzWcXa/jmv053HG6KMXLvoChMqgKw7n1Gv7lm2somCqEAL54sxQWv+hpF6Hi+fjOvYsomLtQdXzpypvW8MBKu1OroVBkdAXLVbcRkDqxJpfZ0+IUwwEcW2kPRqV1isfvz6Pq+ji+ZuPUer2vUK3s+Five5gaUG6un3B0I6Q1hsOTaXgjDkgoBcSY9WHnrwShN0KIxmQzF3JgQhq2Tc0J7UHupvcuV3HZVBrrtrxmKCGBcEyg4njQFYq5jI6spmLddmOViwnP/XzJxsE8k+5SfVAZjRSbEtIvELhxCAEO5K1tn2CPS/ic7FUWdysIr7nDhRROlWqb5j4exVLFhpVnUCnt6bzU6so1LlZtd8vFwYDch4rjb9r1qfUJYI6CSknfpJ5eXDzVFOgzSrAnu0Hx0JD0CyJHHSJvA05bkykNy0NkxkfhcQHP8bEnq6NgqNB6qQf6YCqsa2IuYTBZQ+l53wjIJIWayweKswEpeEjrynkfTE1rspSbrrCHZmdri9nKxJvhGP/J7SwHf76xqf2f8+TQfPtHX4kf/PQHh/rNP7/jnzepNZtETCG7K3hDbDnEyodaurK+NuT6e7M/Z0JhZCSBsMoIrtmTgalSVPvs87DupsNStn1MprRGkneIpW28f5s3FVBFhT/0OQVe8ue/CiDe/ofLLM+v4NZVD8+6Zg8WA9HyBXkdl+3O4M4zJeybMHHVwQmoCkVxvV2IXvd42/zRkUkTXzoqA6mmSpHTFVimhs/c0nSg/r/Pu6RxvZoqBSHA6XUH9y9XYXfM4RgKbSyr0MAAIGrnCHB0pQz2A4+E+4XvyLmJm2+AdedtqDzlmcCe/QAACgDlWltfKWvI0MJy1YOlUhAiHWA7XWDTWnQIIqovJc2NBTwuYKkUbsyyGSs1B4t9EvPHQd5UYiUKTvaYz1v/9d9F/kv/NUBgLAnP5i3v+SjydQ9rm/DuajUqO7Faxf68hUEFdkw1nrOwHfGEoKR/kL3mysoj/ZILGZWiTOlCTOByH47HcXK9jmoQ6b+gYMJUlFjJq4/ZX8B02uj5fdXxcP+ISUUqI7h2/wTygSC4k85kna3qQkxYGoDNTZQSQuDus0Xcv9xMIjEVihtPlEAoACETN/fnDFw6k0Ld47htvozlnI4r51Jd11iUk7qqkL59UkoATZHe2HET0uWcWXd1mR57CS7kPdHaCg4pBgqdA48ulxrPZ0OhePT+AnJm9DWxVQjId4IH+X5IhMIJCQkJCQnxaY3tRtE53x/2r9eqvfvzji8GVmXZDLiQYzXbE+hOE+2Pz4HLZ7NdUy9Kj2PjizijIKDm+F3HmFECS6OoOqEwmMLSpN7kbDF6DOj6MnbUGYtUKO1ZEbeVzaoqGJmEmZCQkLBFJALhhISEnjQ7dQJ1x4elKijVhwuydE/AtXaoRs+/Wqi4eMSBPG45vgYAODybwaG5LC7cm8fR5RqKq1WojEAAWC67mEwbsHSGmVRzkv7TXz2K5z3xMFSVYaFow9IU7M8b0m1CoW0uYHWPYyrVPsE/l9GCknv9j0nZ5vjCfSu4oGDgQF5vCIv7EU88Pd6ZOwIgZyg4kE+NLA6W69kOD4zzj68fL0JnBBOWirWa1+XiE5fvnFjHd06sN/6mBLh0JoUf3J/DXMaASql0rBCAGbOEoR0oz2yPY7FqgxECU2XIaNFBrl5jYUYJZlI6dMZGcjIexP682VVK8HzA8Tgottf9kxCCPWkDnl9rBNE2m7Lj485zJVw2k+n5jGOsOyN5Iwgh4PgcKiOb6mQdhRSKxZv0GJZe5Zs3gsoovnh0eejf7c8bmzZZEoeZTG9B8tHlytiu76mUhqUNioNbMVXWlZEfMigwNw7xzGZjxBQOjIPYIiYhxnYOLZVtaYLFZrE7a0CliTh4XCQ94POD9bqzKf3S84VDkyaIALyf/BmIQCAcR6TGCQHS6a7Ph+rlTEf5Ag5GU7oDOnGI8wshBEq22xA5hj+M3Lfgg7f98iuHbgsAVCoVpFKpkX7bSZyu4ExKxaP35nDbfAmnivKaT2sMltJfHDwMaY3h8tkUhAB2ZzWs1jwsV108sNo+56EyiozePhZ1Pb/hKipLUcmKA7MZtTFWIJCB0jjJOwBw9e40VqoefuT1v49P/cn/GXp/GMTQPfeXvvNVuPXVf9O+HkYxVbBwXdbARNbAiXUbl0xb2JWRgrDm6Ws/kXWPY09Gw7fuPoelCKGrqdKmMBKyelPZ8TGbVrFUVbuqVi2UHOzKaDBUBtfnWK97PffPaXcIgLjmMahc85i2ZbhA17loXV/V5cjoDO4QFUUG3doubybYblXfsh9xkz/7Lbb8opdh8mMf6fsMDQ9L+apH4dCErFJWdaWzcnjLpDWG1drGjsnlc1lAEBRtFymNbcF83uB1110OXemdvFpzOSiR12zVdbFUdVCy2/vlXMSrdnBwwsJUqvd4crFcx82n1pDVhw+h6QrFYw9MIGP0N38AOmfKN78/me1oU5ztxWmXFHIAi2Ubt55a7zI8MDWGNdsH5wL3LFaxUvOwVHFx92KlcW+dWrdx9a5017ppx90ixGCnPS7k9UQghbku5wMF8AAajveDCMUlg55NeVNr9D3rHsfXjy3jOZfN7ZjS0qFQWGNyTjkhISEhISGhP2XbR6nugxBgMqVC66hOEIpYh0VTCOru1s8sDkri60dUl1sIWR2pc+5tre4hp/fuGxNIwylKCDxfQA2E1kIIzK/VG8YMBNKorO7ynpVJQlSFwOuo7hl3fmkziqcVLGVTTbUSEhISBpEIhBMSEnrCKOD7AEBgaAoURlGqj1aqMQohxMiTntMpDSWF4ilX7oJCCSZTGi6atDCX0XB0uYapCQuGQnDL/ctYq3kopGRQ5JGHJvH8xx3E1++YR83xsVj3cdWsjoon4MBH1eU4ulzD4QkT8yUbVZdjX05OFiuUYE9Ox4WTJlxfQFcIvv7gepfozFQIGCUodwwCHlito+z4sSZVv7dQxpMvyPcXCY3RQvjSmTQ0xgCIDYqDH/qMUwdXdTmq6+MVKHABfP9sBVzI8qqXTadBhxxw+ALI6gqKtoeVIABoKBR6jkKltGsSux4EaDqPjecLqJRhLrM5AmGruy7oeYEv4rvubCaUUhzMW1izHSyU7C3LTr7zXAlXzmUjAzOeL0tIO97o74dWCCHYlTaxKy3L356r2LEFBmNhc/TBqPl+lwBgw4yhnYZKA3ewhtwDvi9FsBXXB4HAjjXY7EPWUFCyx3PdMEqQ1Rkqjt/znusMcHdxHigQ+7l+jZvz4HAkPExIrsWdDyHAwiaLg3f6dXBsuTmeP/bHn8ArfvOFPbsrouW///hXn2/7zqMMCh9OZJr6wpeHWj6EEQLKCMKuvzNEZ8L25PgbJDo9rex6WCgN16e663s3DrV8yDc+90k888dfPtJvO4lznT1qbw4XFCzsyuj4wE2nAQCP3Z9DPUbyVNzrOKczuEEitccFMjrDpKV2CYRTGu1y8rx7sYr5iGM/YSpYqTX7XQcKRlf/PWcomEqpjf6UoRBcMp2C63MUDAWHX/ZTQwuEFd0aavkQo17BVFqDSgnSmrxICQBCCSZSBhZKNjRC4Pi8a3+PTJowlGYiY7HmoVKpo1hzoYZj+ECwftFcGj/2yD2otyWyexAAVmp+ZBLUzadLeN5lU1iqOMgZCrJGWB1ofBmZnfdVyfYxZalYq3t9A68E8RLKXF8E82+DE+SmLA270wZApMDP9bl0Fa6Mb/w3DvFc+ZW/DOL6mPjUv/R1kC1f9Sgs/9FfAZCOxKJjP+IWlCEInLWD67Bk+40ywjI5V8BSZbljbzOi4C0MWr2htspAey8cXlpVz+8aO01ZKo7HqJy1L2/iB+aykSJNIQSOLpZxz2JQGnnI826qFI89MNlVGjkOrdfEZp0NXWFDz0mFfYWoNvmcY369hlNrNbg+x3RaR8ZQYHc8lwgAnUmH3it3pfGt4+twfIFix/thvuQg25FU0nma6p5MBI9TjlsEy5saRc3hA49tXIFw3DHvbFrGFc6Vm77aX7t/CdceKMBQd054lotEIJyQkJCQ8PBEBNVLFBpdRUAIgVLdR9n2wYVAzeWNOPp6zcPegoF00HcRQvSteNiP7TLfGmaOJS4TltoVE14o1lCYUaFQAkrDvRXgXM4ncIFgbCxQd32owRiQEILZnAHX53A9jqWyjRtOrmFfzsSEpbVpGlRGwKj8jRDR++b6AioFBnXlPC7GZjxUuftO4Kd+HBUhcKrjO/WCg7jqW1/b8DYSEhIS4rBzRqAJCQk7DkrQ1kka9xyREALPuHACgIDKKFaqLhxf4ObTpbYJ0ZTGutxV0zrD2RZx1ErNw5VzaZwM3HkdAagcWKt5eNzhCTzmggIypoo128PzrzuMJUFxuGDgljMl6IaK+4MA1r6cjgMFGVDYl9fBCMWd55pl1wxF/k5jsnP5Q0cKWCi7KNsepiwNBUvBYtnFDaeK2JXVYXu8IbAEgOWKCxqUwxt4fLA1gtspSwUF3ZAwOISQzREFbXKMYijG1ZTxhuW6uSu4btdtD086MAEA0DsiSJOWCh4Mkiquj6mU1jjYnZmXdY/jvuUKjkymoLNuYa6m9C8DmdBOzeXQGBmY4brZEEKQ0VSsMLct2Lyd2J50xXL98YiEQyihmEubMFSG0+uDndzHgdikh7jBaGR5pA0x4qqEEMgZClRGsVx1UHejRTaWyrbMrXrcqJSg2Kd06SDypiJd3ihByfawOqAssaky2F7vZXaI0VBPNCZd67fTWTohHjv8UkoYG8mZDhECuGwmg9sXipsYchnzmse6uo5rIZ3Gh/76C/jp1z0LtMeAq26m8a/v+kTX5x9550f7iotbEcCGXPIcj2OULnPd43h/IIztR1pjePTeTOz1pjMFrJxdGLo9Vz/yCQOXib2bMRb87D1L2JvVYWnNsZvP4/X3e61+4o/fgsz/NsXiQlWhventcH7wyY3PuBC4fDaFO872Ll+f0hhWai4e+Ym/xRX/88mu709ddBX++1f+GACwP2fgyITZ6P8QALYv8LUH1tp+c+Fku8D38sc8EXfc8PWebejkpe//CvCbL4y9fCucC3z/wVUcW5L7/Oyrd8MX0v3223edAwA85bJpdN4tc2kNu9Mq/unbJ3AuEA8/5fJZXHFkum25wxMGDhSM7vEaIfjefLln37L1N+t1D1MpFUtjFMvKNnR/tFSVrtxl22sIOV0u8OBaJVII2ysM3imUTKkUuzMWCImeL2NEaTlGBAplmEmZMFWl0Y6VqrOhMcm4+relX/wVlH7xV7DrtS+Fduz+tv13J6dw5p8+M3AdBGi4K1NIF+7QiIFAihzDZ2/rNXJ40oJKGWI+DrrYzB4+QbtTNCXSidf2eFdypRRntJ/LjM6wFCMhuGCqODyZinw32Z6PW0+tYbFF3DrMG0xjo4uDW+knHh8HeVNFzZWijbhzrlGLrVZtfPOBlbbPym4NeUMBI0Baly5pZdvHcvBsKAZu5ocmTJwp2rhqVxoKJW37fGjCgsooSJAkYai0q9rUsGINzgVMjUJwgXqP8X0/9+pOCIl37HwOTFk6ZlI6ji6XUfM4SraH/753EYenUrhkJrMj3IST4XtCQkJCwsMR2+VYKjso1n1MpVVMB1VfWinVfSyWHTgRfQQhAM/nAOS4u2L7jbHdsGx1BcyQzdiqxigumLCgKxQapSAE4Fz2Nzqr10RRc3xkzKbbMKMEjDJ4nOPoihx3n1yv4eR6DVcGSX9ekFzq+oP3SlEo3BhOzwrduEC48vpXA9/oLQB2H3gQN+3aj0vuuxPpdHcljYSEhIRxkgiEExIS+tI6PxVOhLc6Org+H9kNkBACN7CQdH0fhkJhKMAPXzyB5ZqH02sys3616uLQhAnX59AVCl8A84HrKiPAD104gZrH8Yk7zkFnBBmdYSatgXOBH7p8FssOx80LFTzrokmkNTlZ/IanH8bdCyV852QRpYqDCyZMsGBnHd8PypABtt8+sVz3OL55oohH7s4gpUm3hZzOkAuyA6uODx50POeLNvZkdRyZNMGBhvPLalWW7jtd7O1eldEZCiaD2hB0dodM7DGJ+cY5AcgoCbItx7dOQA4m9ucNeQSC9pYdH6u1LXQCxXgdPK7anUbJ9nHPYnVMa4zmzrMVXLsnGzhEy2s8ZygNV4jVmgtGZGBppeoMvB5OrFVxeCLdVVpT9JkVP742/n08PJmCxhj6SUgJCBSKxvUoIKCx7XfuVSiBysi2t0MIgZLj4uQWiWVbGRT7EEKAUsQq/zgsOU3BekTiyUYgwf903gabFeKhhEJXKLwx7sOozzZGCdbrAxxvIR2uNvIMVagMLq4NENeOi6mU1niujSoimLRUUCqvi7hiDFOlY3u/bwfbkfiwk5KIEhJ2IjtAb7Cj8Dlw5a4cvn+2OHRFm87nzZY8fsZ4/nqtKnQHftqf/xZmH7gLgjLcc+3TcfNPvK73ytJpnD5yBfYcvb2vSFgE/5/+7p0jt3vU4xz30JWDMXxn+fJe/NIfvBu/+eIfGro9l1x2IWyPox4hdAshY84SPtVnzqEfnU3Ive8vkP/kP3d/77rY9bbfAgBUPvYZeDNzOLFm4+hy+/ivc328XsdP/MIzGp+3fi8A7L33Nrzitc/EJ9/0V7D3XiNdb1uOWVrrTlhVWbuo6y3v+ze88imXo7i60rVsJ095zVtx6Z7JgctFUc0UsHfChKEwzGY1FOseKASmdIbbH1zBgQmzZyd4fq2OO06u4dEXFHBqpYaK7Uc6/K7WPBwodP9+UN/aUNr7lZw3KwW1spG+lO3xtjF3SLHuIWcoKAUiYSEEKhscu1D0F+gyJfrmyWjNwLJCgQdXR6+MNu5+p/sPH8P8gHGCqdLIcbEAYswptDc4qyswmbKh99eojyhTo/CGHOdwIfeRQh4HAoBDOrzdv1JFucV5dvqlz4W+sogcANe0cPbfvxy5zklLxaP2T7TMtzZZqzr47qnVkedqKAEes7+wYXFwK3HE9KOQM1TMj/iOaCAEvv1A9zPW5wLLVReTltrmAJ/R2s0pdmU0XDxlyWQCBGWlqazK53IOU1EaF5xKaSC+GR35jpDbjzqWoeC+31HWGAFjMkthWJMELoCLptK4baHY+Oz+pQr2502k+pTb3irkszoZOyQkJCQkPHxYq7qYX2+KeZfKLjwemKEopBEDPVdywPsMBM6V3EZS1Gp19NiFdDHuHlttNlxgaKdcSgCFkYaughIpcOYQ4L5MYMwEiZqjdOGqrg8hRFcS1VLZ7oqdOD4HIzHLqwTwjnElJbIfSkkzwT001xoVAqD87j/pKw5u5e4LL8Oj5k+MvL2EhISEOCQC4YSEhL60dtxs14elUlSDCTAC6RpKiQALXHGHEYX0WtLnAtOWitvOlFD3BK6cSyNvyHJ4F02n4Hg+lqqOLF3OBbgQSKkyQGT7ArbvI6P5WKy4cLkAJQSP3pvFas1FWmMwVYb5iosTZQ8veux+OB7HAyvdAYKCqXR1NCcsFes1FzefKSGrM1wxl8J63cdd5yp41N6sFAC3iJd6iYDX6h6OTJo4uVZH3lRRdvxGsCSrM+zO6lir+yCb6jErGefEH+diU4Q6CqXIaO2Zm4y6Wy4QHueuZTQGS6G4Z3GMK43A4wKnSzZqrg9KpFtTqcXJB5DJmnEDII4fTqi3Xzi2JyJLFCoMYxf0qYxApzSGe498NrUuV+fRAcytQlMIHE/sCGfNddvF6eLWi4MBoGh7sJTe3dDwMjLU8TtTE0KxL2dioWxv+Bkikzk06IziVLHWdf1v1lnmQow9o3zUd0HcZpRsHxmddZWXjkvWULFadZE3O0TCYxbShNRdf8MicgEZNHT80GWZwPF4VwnVEF2J15fayfE6hW6HM/r2P08TEnY2Y35fjH2NW4/nC6Q0FivBZVii3nOhQCby+U3a/tP1Wqu7Pp52ON/4u9NRsNcq5XpIm+uqgMBasM9Emk0GSU6ytON33/iuxucgBJMAJiwFRyaMrqAMAQH+9u9RfctvwPrGV3peEwKAcsPtfVrbH0o2ktA6xBtTkECdC0AAyzUf67bXfbETYM/hS0dqTThPMGnJPk1UD7foeMgb3Y5FnTxiTwbfObE+dBtURuH6g/s3FcfDQtmB7Qkc+uCfIv+lTwHoPqKt123qRc/B2Y99AWu+gYymoO41+9nFug+9Rbw5/ewnNK+/Puv8sT98Hb72vo8jtX9f2zJRFVuPLlVhBsJhAhnU+62P3Yj3/c4v4vj1X+q5r7/8/v/A7gOX4oEzRXiUQeH+UH2tm/7y4yidWMOD5SoumLKgUYJza3Xc8OAqrt6Xxa0npRDsgpluJ6CzJRt3zpdw53yp8dkl+wtAx3NECSpYdcJF/7H2mZKDuRYHrJVgTqyTjTzTay7HhKW2Vc4KWa97KJgKVmve0GONSUvt+s3gkO/gPUlrKoDRBcLOmDNY/QETaKZK4fgCNTdq3Dr8qKDieDhdqmJfzho5GXfY60WhAKMUNYdD7b782qi5HCwiUZijOWflcR8PrtUa87V7n3UtOlfLalUceNa14ABOfv76xucFU8VjDkyCdTxEKraHB1cqOL5a3ZCJwtV78shbg5/ho9LaB9hoX8zSmvMxHueRAozGdoPrtPP7uudHvsua621vZcnhSKkMhiIrInEhupL+c14dmRc/B6iUUSEEuPIqpP7un7HZUBJvXpRRgloMt7leeBzwfvJZyC8tAgK4zXXwvmsfhY9+4lMwDGPk9Y6LTZpeSUhISEhI2DHUXR/LZRc+R2QC41rVw1rVa8xFRPVNO/G5wPy6jZTO4Hh8Q301lVF4o5b62ABKD4GwxmTylkzUkxoASoG6KwJHZfmbcNwS4vgChkKHqlqqB6JsAgQmbj5MrT2GuFx1kdUV5AwVKY1BYzKJcNBmaLCPlAbzWQB0RW7H9UXD2dhQxmcwZWoU5Q99cKjf3Pn8H8Nln+quspSQkJAwLhKBcEJCQl+a/TmBuuu3dfAEWlxsfQFdka6YcbB9H2dK0cI0hVIsVl1cMZfGTadKOFgwMJfRkFYUOBwQjDc67imN4db5Ck6tN4W4OiPYldVRcTnW6x4euTfTCCDNlxzcdLoZfDm2Ktswk9YAAZxrKSEnHY0pdmcZfCHdio8u10AAzKZVWCrDuYqLE2s2bF/gm8eHC9AdXZZBibNluc25jAYKWQZSZ3H9izbOWs3FdEqHHrixkpaQ3LAiSl/IgUDd5ZsuHDjfhQmS7ntm3KK/x+7PNrIcuYge9A7Lat2FSgmyenvgo+byLpFwpzvROMgZaqzye1GlAQVGHWQLKJRsSFhMSXdmakhTyLEBhvixx/m2iYMB4MGVKi6fzQ4Mvtku3xSRMCUUuzMm5tIGiiMKpffmjCCwRWViiq7A4277PbxJ0ZW1ujP24PSo9HMP76Rk+8ibChRKUHX8RsJRLzI6g64w2B5viA7Wah4mUypKdW8bhKjDIQIhd1pjbc5JhKAxeQXIsrlcCOgKw1JlcAmy5ZoL2xcAaRfRQEjxeHhKBABfcAgh/936/BFod0AL/3lkwoKlKUMLBhgFGCEDRQ6bwc6+ChI2QlpnuHAy1fyg85pvfhyL1ssz7EaIxv90E7WtngsKgfuWN7cqRML4UBg2RRzcC9Hx36gvRfdHsdY5cKm2FQ/v4HlwwgjKcEdvsfrmPwIAZP/iD5D/3Kcbn3NVw6l/+RyQTuOCDTypN9aNir/drz6wFnvZCVPBdT/yInz1Pz8W+zdv+st/avw7FIsXTBV7cyaOLVdQCaoV1Dvrp/cgN6I7ZdwkRY8DJ1brqFTqeFIPcXAr4Vhm5iU/jPpnvw1TZfjsPcuN722fQ1ekhG/6d3+tpzg4ap2P/6Wfwqn/aHfcidqLoyvd/fkjkyae81t/AQA4c+fN+NKf/ya8egmzew/hT/71s/ju6TJKto+q4+O2U+t488/9Md75gV+P1YUP74rHXzSJXRMG7j9XxdJ6DZNZA67n45p9OZgqw1V7szBVBgZgWqNwuQAhgGe7yKdM/Mgj97btkW070FpE3GsVB4t1B9+ry75k+C47MJOGJwQOT5pdxy38X0qA9Q6xsesL7Mp2CBhjjVk6F2i2mRKCqZTa9rd02JJncSatDZUgO5VSI6tvGArFdCriB0MgBHDVXA7fW1hv7EHeUEApaTwyCWm6aDb2OnCUcjwRL2Acc3crto+5jA6fcyy27LNCgJylYq3qxk7IjIMvZLLCbJpDZRSUACtVFxldaZkL7A8BopPDaVgprtlgQyXw/ObccVOYK8csXHQngaiUYKVqA8GYiRJApazh4NY6F73/WddGOpGHUAAHnnUtjn/8fzA5U8DVewtt4uCVioOjS2WcK/d30q05HBmd9Z1Tu3gmjd05M/K7cRE+F8dxSWgtDsrzRRtfvm8R+womdmfNNgfkYt3FnQtFcCHw2AOToLR5pdQcH1MpraVFRAp+gw62QinqQYWZCUvO41UdDymVwlQZUpoCEILlio3y0Xsw+3M/2d5IIYBbb0HlmktR0XVM3Hhbc98j+k+tP2v7O/hfErSPhIOKjrEBiRjLhslWMnlK/ldXSNucZNy+yskrLoYhBA4DAJXvxKcyE0+97fu48dAh/PrcNG68+baYa9scuIhOwklISEhISHioYKgMUxmCY4v9kwbDPmrcOfKy7TeqW4QmQecTYbhUYYBCaGPe1PF4VwzGpBSdvTA/Yrw3pKkvuBBt8dxK3QPn0mzJDdqxJ6NDpI2G8JiReGYlalhdx0dX29vavMF+kMYIKCXgXGDx+huH/n31+ps21oCEhISEASQC4YSEhL40nTYJLI3B8XsHUn0eP+A0X6z3DMpWXR+WQqErDDqjmLI0mIyh4vlQCMVStSmeqTg+Lp9NYb5oww8msR6zLwuFElyzO4Wlqods4JAigJ6ufcW6h6cezuNc2cWt8yXsy5uoezyy3JoAsFCSbdifN8YiuESwzryhwAjrsG8RvgDuXixHfpczFBzMW0OJIsMgganRDbkqDOKhUFKcUeAJB3Jtn11/sjhQNDcME6aKmjteJ+qFkg1GgOx0tzNKzeVt5WjOljZYsjCCvDG49J6u9C6JM0wGqMIISraLYyvVwIlKfj6Kq0xnecXtYsJSx/bcGpWLptOxjqGAdGCNCkCOA0oIdGXImQrIiYdi3cOpAQL4zXqUpyKcv7aDlDr8sQtdznRGodKmW3QrCgEsXUGx7kU6MS5XXOQMBaYqRbi9JptIUOFgEEKIDTlFRZEzZPsLlopivbuMc2uFgrrHYSgUJXuwOBiQz5/NSL5IqQwpTY3dlzNVCtcX8IPqAc4OcEbvh64wKJQ0hXpDNLfzOmJUTlqO832d0I1GGfyYyYfbzTDJEuc7D4U93eokm51yFY9y7mouR0alA5Pzim/4bRTf8NujNWyT2KxrtWj7+MXf+3Pc9p2vYW3x7MDlf+DaJ+GaJzylq22+EOAcOFhIQXZHpXBpMy/PYa5FDuC57/rV2L8jAMA51PUl3E8yPZezbvxm7DYQAMyxA+fjlgMzwsndfdk1+Jn3/Teu3pXG7qyGiuN39TMrqRmcmNiL/Sun+mpmw81/+5++jEMlFzUfeMT3v4bZP/39tuSSo4+4Dm87/AJctDePXXsmYKoUZcdDbb2G79w5j5/+kStxrt7ehmqxhv/+2Idw6jPvidz2nmf9IvZe9xO4jrGRql3symhdScphRbBxsdFxb7nHvN04ql8pFFgo19suIcfnqNs81nggb8YLpcQ9mllDwdmyDYUQZDSG/XkTCqXwBMf3z0bP0w2/FeCSmRTuX67C9QUyOsPpYq3r+r9oKgWdsYHHode4nFGZoG0oFAJSTFB321fW+TfQ7RRf9wRW627bnIWsxkKxVnPBKEHOUJB78iMHJhuE3x388afhogcfbBPFAsAd8+uxxlVhEsdUSoucS9mTM3BkqtslfJwM40TXy/G3FaVjfFN1fdxzrox7zpVRsFSYCkOx7rY9Z9brLgqBQ7KQG+iZ4KozAjuIIezO6PCFrJRjqhTLVQ+oeQDkfKF2yw3Y9aZf7v+usW2sXHlJ+2ef+CxSF1zQ71dy/YzAaRODtB9JlZGgQmHUr9s/pGpoRND7bChUmkG03iulqy+GQUjPc5KnDB84t4L9u2dx/MzgvsVmscOH9AkJCQkJCWOhOGLF07iVSRkZ3UPY2abSp+E8mecDXt8aEdE6kCjH4JrD45svAFBp+7i/ZHeP2QEgY1CE4Za4Y8S408sbmS9sxDDDuPRrfm7kdYUJqwkJCQnjJhEIJyQkxMbx+5c0HyYwPmFpjfKmvaAE+KlHzKHi+FiqOijZHhglMANn33qLK+qBgoFjK3VcNpOCQgksleGCggVGCU6uV0EJwXrdw9Eezl6HJ03YvkBGo9iTNfDASrySg9qYRQtrdQ/HVuu4YEKP7d6xmazXPdy2UERaY5i0NGR1NfZkobfJzo5pVcFl0+2Bx/URnUB3Ehs9anlDvtptz0fNE+2B1DHiC+DEei+nPBlOnU3rm+I8odHBosSma1E0CpOD3cjfBhr9kuPh9HKtkYEqMLow3VDpwGfeVuH6vE2cuNVkdQWZoDRQKAAehM8FGMFY3ZNCDCYdKhfK9cgJh8j2CBErkCg26TGuUhY4Wm9v9ObIlDVyAEk6yVEUdAbXl67zns+hKRRlx+8S1XYSJhmJMYhlczqD27EjowguWqm6PgpWtPtZFMOU29oMKAEOT6ZiX1NaR8BzO7WRNOZsWRx35mGYSmmouuNdZ0JCwtaw1YlSO0drMVzHRGcEWZ3FqtzRD4XSICFLxBI4CTQXIgRgHT/ofGf3ouZy7MrqHW77spg5F+0CKiGaRc4HVTm4f7mG+5dreOnffhn/8dafx6nv9Ra8/ujP/jJe9oY3RX/ZshuyGyA/UBmBSglsn8P2eeQBszSGS6etxlet456oYyxFdAQaI9CZPKetAtiooB0jBFMnj/bct17Mvv5VuP/d/9ZwtiWQVSE62zMM+v97G+hv/t/GGIYQ4NCE2bbfjeumZWcslWJ3VmtUUwDkdXHfcg0XTZqYTUuhmwaBy/fmwCjwmTf+FZ737t/AnlP3tXhitmwj+O97fvvDyC6UUL7jLjzjD18buW8X3vJVfPiWr+I7j3seTr/sF/G9U0WsVV1cvieDJz5iHyoVG7vzFoq2j5RGQUDwez/5KPh2b0f605//G5z577/Dkz51OwB5HPbndIDIa/r+FTmm6ZWQv919zkH0cg8GZLCcCxG77xcFF3LOxFApjq/Keb+qy6HQ3vMHCiVQKEHd45vS5xUCcIWA5/qYL9mYSetQ2fCJmL24eCqFlKIirytYrLrwuYASsf57lyqwVHmvhsnRhydSkSKIqOcMDYQQw15jUcdUV2jbu7r1eva4gH33vchjuGfJ/O+9FQfe9rbG31XHG2ocOZVSsVrrvjYLpoord+c3/K7sxbCuwZ7Pcfv8OhaKdViaggMTFg5OdFtv93uVrlZdrKJ9Xx+1L4+8KZP1w592Cq67Gh5wpmTjyrksThdrQVWCdna96Zd7r6cfL3w2Ks/4YaTe+aej/b6FuPMacc6yFzjdhe6BpWsuBekjDgYCMbcQ+DRR8bKffAk+8i//Fq9BY0b2jxJBSkJCQkLCQxePCyyXR0tmpDGFv2IDs0C+aCYv6UozHW4zzHNaESK6ImsUri8iq37WPd5lCCOALuFwL+JUJrQ02ubOHPecxJ1H8nn/2HE/uuIq7mjXme3JPaJEitKT6g4JCQnjJBEIJyQk9CXszwghUBog1gkns+JgMAYCIGcqqLkcrt/t1mEoBAuleltwzucCjt9e0kINyvwRANMppdFej8uS5ITIjtl9y7XICb+coWDGUsC5QNZQULQrsfYh2Oshlo3H8bU6dmU1GMpOkAhLyo6PslNDSnVwaDLVKDfSDzdwhtisgUvUxOpDYQJzI3o/CuCSGQtW4OppqWxTBRClAcEUXSEbFtl1crBgxQq8DDqOKqXwIsTTCiW4bWF91Ob1JK2x2ELBhzoVR5bxDc+jwqRwpJ9Q2NnE5wkhBBpj2Ju1UHU9nCnVeybDGAqFxmjsQOJmPZKk0EKJDFBuJRuNj9teu1hdYyS2SDtkLE66hKA6Zqd11xdYr3s7xjl8ELNpYyjBg0Ljle/aCjK6su2u6AkJCecPCgVOrMVLBn24c6BgwhhDQqzO2FiT0/7yOyc29PsLCiYeWO19DRyZtHomFnfyvLe+HwBwz9c+i6/89ZvBPRdMN/Dz/+/DeOoTHjtS+9wgMZsSYKli9+xHzGW6q7kMYph+Fgv66sNeAXR1WQpWW8ibiqwiUSwOuTaJ+P6d7dsgwIF8+zYKZrd4r+ZxnFlon99JawxnijbuW2q/BvSUDoMRHD21hj/58d/FwakUfvgvfwsXLjRF0pwQfOMtH8C53fuQKdXBTtyPZ/xFtMtyq6j4sd/+D9zDPDz4+Jfi9MIq7iqVsVr18Lir9+KO+VJjwS/9znP6ioMbx8Nz8O6XPBpv/Y9bcCAQB6c16Sh84aSJku3jptOlxvIKJQjjprbLuxyZCaTrLyEyeXPjY3gZzCaEIK2yQOFIIAhQtr3I5wEjQH5Acp3fpQIfHi4AhTLkFQXHIa+BQSHlA3kTGqO4b3mYucLhEQJYqblYqblIx6gYE7cnrisMIAK7siaqnnTx4j0mTFrHRBojPbcRZ/o3vO76GU0A0fvRq30h+37pp/pvPILS338IaBEIL5bjV7syFApGSNd5USjBI/YWYlWtGZZhhcEh88U6Tq9L44SS7eGO+SJKdRcXTKSQbqnGFUe4QgnwiD15PLhaRd7Uuubi9A4Dj7b2d4g16p4PLgScDrXF9BteIZePu4OdfPFzqBy5GKlXvXqkn9MY1+gohMelcvQoiBCx5jEJIWAAbvvExwBsj0A4ISEhISHhoY7j8ZFjGp39m174G+xbhH2TmtvsDXZW3ZCFiMdrIENpfOfjussjBcUKo3A7BARR3SCFhuMFIpNdOeAL3rWfnXABpA0GuxwayMVrr+vHNyDqFTsehEI7qtpSCvjDj62bieCA4wMKFV3VPxISEhJGJREIJyQk9ISLZkes7voDBXfDZMUJCByetKAzBUII1H0fx1baAyEeF5GCMccXbYIbAYGZtIasqaCRTedx3LMkJ++nUipW6i4OFnRkdAW3LzTL9E2nVFwxm4KlMaiUoGS72JXRsBq7xMjmiGNuPFUC5wJPuiC/o7LDKq6P46tV7MtZfZfTGAHr48CyWTwUqjtv5JhxADefLuHpRwqoufwhJZgiBDiYt2Cpg7sulCCWCMFUu91OSvb4hXyTQ7iIbgVbpenrFSjyhYAnOFQig2ueL11u1OC50UsoXAsmHQDA8TaShx0NJQRpTcWRCQWAgO1zuJxDYwycc9Q9jpyughKC4+vVWPfXZh1qQmRZ1e0QCF82k8KRSQtfObbSCOLFLa81iJ0iOB0Xri+wUnVjZ99vFymVYSalDXUOay6HpVFUne13oevrXJWQkJDQgsII7tiERLDzhiHHlWlt4+7BO42CqfQVB0uGf2df/KRn4+InPbvx94GCMfhHAw4tF8DujAmdUZwpxReyjQs+oKzoSOj64GUiINnMwMBn3EtVoSR6rCgETsyXcLZoAyAAIXjPS97S8rXAIYvCVAwcJAJfPbGOd/cQB7e1C/KKuvgbn4V69F48yaGoZgv43ye/GPcsVnDlrjTuu38JWs6CV16LtxMA7EoRBkRj49JxVo5P7jzXLmR94sFc29+UtB9Ljwu4XKBY96ArtMv1aViWqx7SOkPZ9iPHdq3HK2coKNoeuACWNzhmjhuwB+Q+XzGbbbTngbUyHK/ZOAICAQHOgQdWq4350E5n5ilLwVLVa6wnZKXqds3lRV0nq1W3Ue624nJ8t0XY3fUbQjCX0bBccQACUEFAKGm4/Xb+7jH7smCU4OhyObgOo5MiL5pKgZGwP930zaYyVg8loqstBBBOp4jgsHucQ2XyWuRcluflvCk07iXCDOdlhBA4V7EB0t/hK28qoJ3HZgTODfFcTesMZ8vdlUMOFEwY6mAx97DEv5K7MSPE5cdXazi+WsNkSsOBgoXZjBFr7pELKTieTmmN/Wxtm8IosoaKetlGRmfQFQohgPW6CwpgylJRdnwICBxfqwJCgFICnTbvMeueu0bc0xb++s+BPgLhfrNHXKDh9BuHuOelcU++5Hkxf9HkA9O78alPfRLPf/6PDf3bccBF/DLcCQkJCduJ7/uY/+N34ez7PwhRl8kxxDQx95pXY89v/Oo2ty5hJ+L5AvPro4+t48bqXd4t6B0WAsgkNCLgc1mlo+5xlGy3MX7SGMGFk5mB64oL52Kodke597Z2MRVKGol0vuCouT7Ktoe1ugtfAFfMZrv6pP1MgjRGkdIZKvXmmCZuHw4AVIXC32Qn5kDvLI/hy18BfOiDI61HCIG666NYc+F4AodnzA1V0klISEgIiS0QJoQwADcBOC2EeC4h5K0Afh7AYrDIbwshPjv+JiYkJGwHQgDhvLHPBZZKg0soq4yCUdEs3yh6OXsIALRF0EFhc78xKawxChaUTtcjBHyAnFhOaQw6o6i6PmbTqixBTwlSGgMhst0eF43OJAHBpMnwmH1Z3HCyiEtnUphNqxBoLTNLMJvWpFBGCOlO7AswKju7BAIuB9aDDuhmyX38oAfu+BxG1Gz8NqIx0ggW9vI4rnh+Q/y3VTjcH7sDZCdRrkTj5pLpFI4uV0d2Sj1YMDbNtTmts7aSky3RMzSL3TTRFAKV0q6arK33jUCzvG8n8lkinykpjcUSBwNyInvQILbXMdIVJp3EBzimd9Jr4JzRGda22eW1E2ULBpIZXcG+rImS66Lq+NAV2hjAyrLJ3c+H0C1NV2hPgbftCaiMQI8oYTQuZDsJTIXCDD9kDFZgtuNwP7b4/mzZ7srunbY0ELLx57qpjPcZqzGKx+7P4Xvzpa6y2qEAWKXA0w9Pggvgp67eja89sIxH7stjV9ZA2fZw/1IFJxNXxjbkM04GssNrgYtm2d7tTubQGMGhHqWD+yGD/NsvDgakY0JCQkJCHBzf37JEqfMdAtn3f6ghx3NjqD4wiBjXWZweOReApTFMpbY+4VC0/HeY0YOYmu395YgC4e/95GtwuUJRHUOfyeUC+/IGCJECyGLdQ0qhOLdWw8kW8XiXIzAheHC+iIm0jXrZxk+rpyPHwFGEYdNDC0dxCABWgOs+dD3s3AS+/Zv/D4s5C5/+3eFFZG/60Ufiw9+4Ex6XwtXFqofjq7W2vjwBYp3E8Gvb4zAViqzBNlYFo8890PnVcIHz8Y1lW7freAK23zlTEac5zfZ0/mLY3G/pENXvRwKeL1COmaDncxErcZoS0hJsbj++/X7eq6myolv7l/3EqOHcjEIJTgbOt33bu4FrYLViI6UpUBQKDoGplAqAyDmpFn2DzwXW2uaEorepjXm+dlTX4FamUjoumk7j3sVy13fLFQfLFQcao5jL6MjoMhFIDV3GIY0zWpNbz5Vt7Mmbbe1rlYJ4gUOcymjHe4rD0pSIpHHR8d/x3NWV++5B6sKLI78bdDzZEMkFsR8NjeXjuQc3fkcILAD//olPbK9AeFu2nJCQkBCflc9+Hsde+Qtdn4tqFfPv+jPM/+mf48iH/x75pz11G1qXsBOpOT7m152hBKVdDNFpUdnohiGEAN8/WxzY7XB8AYUReENMdDEik+cpIdAVCk2V5mkKo6CUYL3qYCXm3IPPRcP0pxECFqKRcOoFGg0hBO5fqXQlDEZ1wfrtSd5iWKl4bWMNARnf6BxHyXikHId4XMDniB1PHNWVORzXCARJkK//DVSGFQhnMijXXKzV3LbjtVb1MJFS+/wwISEhIR7DOAi/AcBdALItn/2ZEOJPxtukhISEnUDrhGTV9mJ1iMLOVdl1cXygK087158sdgmSOrFU2rbMlKXiirlU2zJukEkXTmx+68E1PP3Cicb3hBBYCvCDB7JIq7SnKwohgBpM4GltafMEKpUuIQBiT8wPAyXAI3ZnkNXZpgmQN8JS1cVSjEDRI3bl4IvWCd/eo6fOudLOTEzR8Qfv+hA4WbSHFnUOy1Yk6E1ZCpYqCmruYFF+FPct1XB40hw42Jm0VKR16UAa97hNWhrS6pCDkDGMWRiVx96LGQ+OKmMTF58D+7IW1jUHp4rRwSlLlUkMoZC17nK4XCATuCS1XpoKJTtPiLIF13HoOJfVNGSHrH5sexyGSlB3ow9cKCQ2VBI4E23tAWZDHMCohIIpSx/LKSAADk1YXe77o6IrFI/ancOjdudAiSwvS4l0ezIVCpcLrAfZ6YAMoj3vsllMZaRDXlpXcdWePAyF4r6lpmvZvryJuayOCUvDHfPFRrnTrWJPzkDF8WRZ623C8QWcju1rjMDS2LY7vV9QsEZ2MxjGpW0zoUgUwgkJCfFQae9S2A8LhlCr7csbYxOH7Iy3BZA1FDywcn4mMi1VXOQMBXXP33BVgqmU1kjy6bempxzMw7niEdBuv2Wo9Z9894f6fu9bKbBqJVZ/OGzfU/7vqyEAeCA48/nvRC87hGjrwdX2/qhNBBbWajgynWokqPKqDcu2g3ULEACpjA7XF3jgzDre8I9vjLfBlu12oq+v4Mm/80oYv/defLS0OtT6AKBeXsd3Tpb6JgiPcrXUPA5fCEylNITem1Xbh8IoNEbg+hxFu70PK48Raexo6tdfg4lbbuzab0dRMP+BTwBzc/KDIQdGZGjJeuwVbzvjf07ujKcvFzIgP5A+54BAjlcFmmLjUa4EhRIoCoXrcyxGOAK3Lpc1FNQDE4LVavSy46xkspGz5foc9y5WwIXAnqyBi2YysDSG206vQ40QTDg+x4mIxN60xpDWFKiMoxzc4x4XOLlaxWxGh4g44mHiRqejmTxNAoRsUbW3V/wk8M2bo78btH3S/k9NaYrmCQlNUOT3cZwDTZVuuNy36zpwPD8QoW/tA2qMlcoTEhISNoXVL/13pDi4DSFw9GWvwJF//Sfkr3vi1jQsYcfic4ETK/UNv+PIEL+PctftuV4EbsEQcDhHzfFj96Fs3wdrmRtnVPZlKZEJYFzIqigqI6g4HL4AfE8qQEyNIaW3S8Vk1YjumJahkEbSk8+lq7HjCygRFUF1pd1NiRCCgqniXEf/u+x4MJX27TsD5uui+liMkq7sRUIEaj3ii4NwfTFy39xUKRyPN8fo+w8AJ47H/n3mazdgrep0aVeWyg5yptJwZE5ISEgYlVgCYULIXgDPAfAOAL+2qS1KSEjYEbRO3qZ0hltOV+H6HAfyJliE82Nbl2SEmb+rd2fwrePrfZcxVNYmEJ4MsqV8IQM4oTOfQgnWbR83nCwCkBO2ZkqWiJ8vOThdcnB8tQ4K4LpDBVgaRd31Rxoc9HI+HYUfmE0hZyigBFBpmz/reYnfFQQ4/2cYd/r5YAT40cumsSttoOy6OLEWLcSbsFTMpoxAMM+gMwcrNbfhXN2TbTiFhkrhuBxbKaFTKMGZUvSxM1sSFUodQdGS7SNvKmAEIIRitepsjUPZkGzFddzpmjssdVf0LSfUusxWK7AJIVACl/vthBAKjcn7ftyHgAvAaHEoliUmCSaMwYr/i2ezyBgKHJ8DAjg4mUJ41T1ibx5X7BY4vVaDEM1Cn9JNVy4j3fqB1ZqcMCIEYJSCEQJKZTvCUk2A7HJwCNheM1ypUAJTZZhK69ADt7n/vS8setLNdpxJj4ueZXa3ClNhUCL6dHFxvOHKjm0WybxYwk5ACIGcoXQnk3WoV3pOMAfLCRFdJlxE/Dv8O3pVpGWZ8d4kpkZRi5EkaWq0bVjoeHxbnheUhM8J+e6+aCqN+WINixtxxhyWnTIMGuJSmEqp4+s07gyNGqZT6qYnlIZsxu6u1z2olGDSUjfk7Gp7HCV78HFgBCj/v7/BgWddG0uIJwAIRQHS6a7vWn976t3/iAOvemFscV/rMipEoz2lj/9P5Lba2hTzRFQdH/edq7R9lvVd3NLRf3ze4y/AsZNrmMqbY0v4EwCufctrRl7H7uxgV+auYx3juDi+wFKlQxQZPMdXai6mrPZxASHATadLuED1cc1PP7P5ecdmNc/DgVf8KASA1R/5cYhff9PgxrSto/dbjRI0KpMNggsBt+WllDVU8IiXVOs7mVECg7X3nUdNTE5prKuta0s1TNz5XTzh3/4SqmPj1CXXYPnXfrdtGU2hOF2MVxZZQKBgqu370DKWCkWP4+5Ld86TejysRCYQ/B8IARbLDiZTWsv5lG5jXIRjvCZGy9yA7XGkMJzrTUjGlNnL950r9VxGoQSaQqFSAq7QoG8m4EeIFXLGkNnQfdjIe+OfbzmD783LfaIEeP0TDmJf3oKhUHzn+ComLRXFutvTJCNEV2jj/ZI1FLg+h8oo9uQMoO1MSXhg0mFpDBCiYeyR0lgjIctStygp1rbBhYgsvTzoXWC7HAqT9wfncl6h11zUoGdMVD9ZDOEiHN4/T3vGs4Ly1NH7tJkIRI9JEhISEnYK97/iVbGXPfqyn8GjTh7bxNYknA9QIqsdxKmu0Y9h+mthUhsBIIusyh64L2Ryl+37qDgeSrasrjxqHHGpbGN/PgXOOVwutR0yztuZINYdb6u5PnId69MazrvNz1KaTNSrRswFqqw7ThYljk5rCs6hfXx5rmzjQL69V8+FXGdU3KRi+1AZCYpXS/2B4/twbB9aR4zD3WBitaaM7gDd2vTUpz6PyuMeAdgxTHN++60yDkdlNevWrfscOFdysCs3WlWmhISEhJC4cyl/DuA3AWQ6Pv8lQshPA7gJwK8LIYa3O0hISNiRMAr4wfwdIQSOz3GwYIKRaCFJa0dllC72hKng0XszuOlUqWcnu3MSjhIgZzBUHQ5KpYsJDyIfoTg4qzOs1VxwIcvW37lYbbgIcgBfPiYfW0cmDOzLG0O3e1zeU1fOpTFpjTK9vXPxw5OxVWxz0FkK3Jritp6KjeZ/gknXwP1ERBXai8fls2k8Zm8WQgApTV5HaVXFxVMM67aH1ZorS4WqFLszBnTGWsR4FDMpAxldGehEOkxZvHEhhBj6Pqu7fKC4tBeMArct9E5WMBTWd71rNQ9TKa07mLqD6Ffec6NQAsxl9DZx6ajUXD5QfCi24cYP7/VR8QVH6H3Vuk5KhncfWqzY4xMHj7Aex+co1ly0mIUBADJ6UzAQCnEUSqArDAqlODCRwiD2FiwA8noNnZtCGCVBcLspEOBCwPE5HI83AvXFugxu1l0feTNC3ByIlDVGkGkpo97+DCeN8tFhMDv8OnwmhhVp0fIdwuV77F/N9dGrIm2kiIO0/rP96rFU1rZw56ns1YaCpYJzDhHjem4TdwgBTWGNMmFRdO6D6PxHHJVj69eheBJNseN5G68MJjElEQFstJfvbX4aRcxAc+eSQl4pJceD2sv+ovV6bghJCIhovw9E4/5vXvkkYj3hdjuvi+at1n1eTe38cYcmRIr3diKT1phL0MV4X8hKAByMEqis5QG2xVACnCpWG4GWtMaQNVSsxxBHjpWd8sCKeQ52Z3Xk9DHefztAHGypFMfPU/fgVlwusFx1MZVSsVp1NzVPLnzFr77s51H4yPv79mvCZpz41y8MXvHevVj70Rcj/+mP9lxn+Hnrd53LHfjxp+F4i0g4sn8e2eB4N2TO0nBwJg0euCMBQDZn4YcPTQMK62rfqITrMACMUmfj/uXB1/W+mCLiOFRdjtsXKtAZQSF4vzBCYKoUJdvHNa+U4uA4p2PiPz8O96ZvY/3vPxlz6/2PORe9RX2dLNdsLJTiCW1DCqaKqY4xRckZTaxvKBRLLaV7p3/lVbjq7ttxVcsyl17/JeAlXwInFJ/4s0+golnYE+Nchgi0V7QpmComLQ2Mtj/fo0ryboSoNdkex3LdwdmSDUtlKFgKzpTsnonZnbCOG/z056+PnbwQMvXl/wEA1BwPD/apepczFCxX3YYzLiD7DxlLa9vYvoKJidT4BMKjUnP9tgo+XAAnVmswFNpwAV6uulAZwaSl9E0waT3M4Ti+5nKYarRRCBdCCucViqWqi0lLRdXl0BjFjKWDENJIDK56Ps6V7a4qDr1HRfERADhlOF2qYU/G6JpbCd2no+AiSDbmgE8FVEb7mif0u1M0RrqT6KbngHPzsfYj5Jjr4JU/98qhfjNuZJL4tjYhISEhIZLFj38SGCZBy/Ow8tnPwXz6M4CW2F1Dv0jkPGNjnou0z/mOihByDBGaKDX/LWQyFOR/W18s0jFWfs6D/8rl5f/7QibnhIZZPAgocsh/C9H8PYhcVlcoyo7fWF4AoEDDXZYQElR7aP4+pSuoOF7bcdEZxZ6s2ZgfpIGRh0IJVmtuY3/C7xglQbJ289/hIQ/bKCDfNxmdQaW00a8LX8NtMSzRTGAJK76Ef0cd+05o0IatwvY8nC45qDh+LIOQtD56LG2p6mJ3lseq2NHZkrrDu5KRCCGYzepAcO4UKmMwnHMcjxh7dh5uhUaPzXXaPcdUdnypRelou0K7BcKEALYnYHMfd58rt32nMYIjE+m2+9YXiFx3XIZxgG6l5vIuc6GJG2/FykteCNz1/d4//OBHkHrEIwFIB2NdkcegtVu6VvWQt5TIvnlCQkJCXAaq0QghzwVwTgjxXULIk1u+ei+A34d8Ov4+gHcB+LmI3/8CgF8AgP3792+8xQkJCVuO5wscnkgFnZrBy4+S2e5zgfuXa327W3pH6bZ7l2rgHPjB/VnkTBV1l+PocgWVlsk4AtmJFRwQgoD2mHI8U3KwJ28MXaR6bEK7h+Ckm8fFhl1Eh2FP1sTelr9JICzsbEHUGSMd33ULc4LvhcBsKlpIPi7xrBACF0/KIGfJ8XH9qTWcLtrYlzNw6XQK9yxVcWyl2gjgqIzgmt0ZWGr7K50QAoUwTJoME4YGIaTI3u4xIDUYw+UzGfh9rulxO9ANQl4/ww/EBOIHBjvxObAvZ+LkevdglxJgvT44AFjdCneUEWGk2/l4XBRMFXNpY6zuJppCu0oUKeGkEhl9oL4RCCE4UkjhrqXy4IUjuHep0vVZRmfYnxssmm1FCDFmMdrwx3GhZOPM6d6C+ihURqAzGjwzRcO5qrMl4cSl7fGdoCvaFOyawLdODHf8OskZCq7Z3d89rxfV9TpOj7jdnZ4I8ZVja20iVrSIyVsFr53fBX82aOsXRizXWGeHuLVd+yzaJLM7RUQq3cc3dv1tJnlDwcuu3r3dzYjNQ/U5FUXd5WCkv2zdcQOHcV/ADmazt+GVDQHR5sJSdnyUt6Ofdp5dIAcL7U6BG2Ybzn0nu7M6jsYQUgKApTJcMmU1kyME4HEuE5MIGnMKrSk5jTcEkWOGjD44+dfjAo7ffj22HqowSNoppgKApYoLS2UgBDAD4VPOUOH4g92B485hhEsVX/YqcN3A5Aff0yXkCv8WhODEx/57oKNvyPprfh30yEXIvuvtfcfnvQiP0/4ffxpKX/0uBGQVprzZftxp3cO+nNHSYAGdEezN6W3HulwCDk/K5LSwH3Bufg0PnivjgrkMrjw0hWLFQSFrwPV85MzxB+Su0018wR5WxD74Pn30vixipR3FvEdD4ZztCyyU2vuCP/mrL4jZquY5VOdPI/8HvwP/994JSihcn4MQmYjYuiwQzO+Q9uD+KM70XAgsjtCPjZreGkfC6t7nPhHMC6qnRG1XcLzoV16AD/3ffwCyB+KvuKNplsa6xMGbQdQ5OVupN4SpVdeH5dGezmCtMEpgqfK6MFXp5qsyKVLwEN/5xgewmpnFrBC44cRq32Wj2tTZf/iBuQz25KyYW99cTJXhV594Ab57ah1fuHcJAPDJO84CkO/zCwpyDtP1ZYJJLnAGrg4xZ6YEotmv3XsOf/yFe/Hp1/0gdIXB8Tl8LhrPzfD94vhcvkNJsxR1SkVkSeQTb/ljHPi93xx5/0NWXvJyVOoeynYZl0xl2uZoa27vOQVK5ByTyghqLoc3QEXS6/mm0uhrJ/WFL6P8iEuGchH+m4sO4UdjLbl5cAEk0pOEhISdyOl3vHPo3zzwlt+H9YgnAWh3Ju1XIZAQNASuJ4tVOC2V6wSaYwYKKdD1eVMQnNJYw6SqF8NWhellopLVGYoRsZ5w/aNUn/EFIseUMym9Sx9ACHDH2d6VGaLobFPBVLA7I/tVhtodCwIAfQNurqZKUasPngcaNG1BSPy+PwcGXgOtjCpiHZbOiikCQLnuIduRBGlo3b1s2iPWX/c4DIU2jEQ8DngO7/YGITImZPvRyWJt7RQClbPzwPOeCeE2rxUCAI95LPC2v2hb3vEFGJMaEgF5P3p+Z4Xj4dhIBTSFAGpgeGd7HLYnkPqnjwMAKv/1KeCP/wBwHGB2BqlPfzFyHbYnIhM5F9YdHJw0tsXMKyEh4aFBnHmUxwN4HiHk2ZCGBllCyEeEEC8LFyCEvB/Af0X9WAjxPgDvA4BHPepR51lYJCHh4UtrzEhTKPYWTJxZHcXPZDAKJXC5wEpLh/npRwoo2T6uD5yA9+eNNocHRoDH7svAUhimUhqIADilyJkqakGQImcoeOLBXKOUmcs5rthl4Xvzla5yHVWX46vH1vDMiybgDFFmZMRqgl3cu1jF4/ZletjenJ80Sn1sEZ2iRJmt2r1cvyNMevy78dkWnB9CCJTApqFgUjxuXx6mQqEFjqz7cibcgwWcKdlYqjrYndWR1fs7w4XB7H6xF0LkhLgKGaze7pLxCNrBNhC/MjUKzxexsnRb0XrYZHAhyyz2K02sUMD2dq5AmBCAiPFrNPblDWRUdez3iBAChkrhBiJRQ6WNUkaMjJaQstH2ONzHmSHdpgavd/jfyOzusTZjS3B9AdffuffIVjJhKUjrFGV79M6EdKTeerxxdYDGjEIJvnRUBv3b7qu+N9nmvvDYgPdvQjSb6Xa/GWx1EtV2IhDzmhYd/90GOh0HH+7EORWMSKHlQ4WszqAyiuN93CI7mUmrfd0DY213wJgBACqOj/uW2xPHCqbSmKvImwo8X/QUtVddHwfyJlJBoighBKYCzBftvkmfmZjuRL/100/Dse/d1fibMIJ3veCn8Phvfb0xEcLTaZz6o/dCHL6o/8o6LilKgNKznodPHn4iMqeP4xl//WZo9TL0WjX20zRcrv6v/4Taj74kchldoTi53j6PdWSS4tR6e1+eVmr47FfvbfxdyOh44y3/gLcfv61NCPA/z3kVLlw6Bv7geMsUEwBvzU3gUfUqipzju46Nbzv1gffsi972jyioBIxScEra5tRCNEpijdHiBLsFgLU+17Vu969I1EkYNM5/7b9hZi3cdKaIG06u4/LZFKZT0XMc3z9XbPt7JqVhV9YEEL/vQABMWSrOlvuLhDM6a0uujTqMG+2u7H7ps6U4WAg84HtY8n3ohOCQoiITiHnD4/SKt/0MvvCRr8RfeUdUngUOcdsxhu4s5yxEu5gySvRCIJ+Dyw2nZblAeAkWP3899j7r2oHBLR/Ayc9fj0LFwefuXIClsUZ1hbrHG3PGIUXb6yum2ZXVccHkcMm9m81kSsPBCTPWsut1T94DKRUrFbetYlcvEYVCCe6aL+L3/utuzGY1lG0PusKwXJHPUi84l+G701Bol4tv0fG6jnXBVLD/x56H9be9ERhxXBteNpWXvxqAvI7uXCw13SEBXDyV6Xndhy6NG33v99Nbk6kZiKVzA9chhMBxz8Xnvv7tDbVlHOyEOeGEhISEKPz1taF/I1ZWoCskcCXlMBRAgIIS9K6MJuS8hw8pNByUhNlKeRMqFvXqcxZtHzlDaTMjmEypjf5Tv3FhL9weHQKHc9AOiy0hhhc7E0Jw6WwaZ9brWK97UFoS2Hr1UqU4dbSXU83lsQTGjMmqyiqT7sjhPF9oRCREfCFvKkJg27+NPg4UTBiMQmEUirR3xrGVciyzn5rnQ6ODx/mMdk9SV+1ugXA0BDlTwXrEmFOg+17SVYK625JUTWQFms4qLmXHg6UoYFQuU/yjP0Tln/+hd+HBG76DA8+6Fgu/9ruwn/HcxscVxwdXNj7OIQAURjYk1aj7AjpB5DWXeu7zgec+P9Z6HF90iebrLsda1UOhx3g5ISEhYRAD31BCiDcBeBMABA7CvyGEeBkhZJcQIqyP8wIAd2xWIxMSErae1r6cxzlKdRdKzLJzw445PC5gaQxPOJjDqXUbdVdml1kqxXMvmUTd4/jW8fW2Nl2QN3Bq3cHurAaAQJCgPAqRE5IH8tIhoeT4MFraTUFwwYSJ1dPRWY1fuHcF1x3KgyHecGOUAVYULheYL7vImwrMXjXHzzOWqg4mzfjlDxOiyRndHX2VURzImziQN6ErtCvY0guPC5kx22PmOrxPFEYg/HF44Wyc0GV0FMLSfqYqB9Rdpf46oARYrNhYKPcWfw5yxc4Zw2dlbyU+l85BnYGZjSLE5gjo5SC6ef6rjXMqr+NRnaI3wnzJHsklOtXnuI8SfGGU4lAhhaMrlZ6TmcOwE+73hxsVx8eTDubx1WNrqIx4LW+XTleI3u4V20ltiCSvrSJi7jUhBskxGycPHbHn8Dyc972bOEcjfK4LIR3Qz+cE1ivn0pgwGRgBPBA4HsdixcVqzduR/XXpfts83nEch46v1cCIdHfclzOgMwWDenWDHq+//XPPxH033979O1/g1z7+EQDAh755H1KpFCYtFSLGsexMojBVhv+6exkAUNpzAJ94x4fxgt95GfTacAJTAJh+75/iRA+BcFy8lv7DH85/Bo/8n280/m5t+dM/84G23wmM7ynDKMXzLenA/ELOURcC7ymt4TP13sfkhLoPJwKnUAA4PJMGowS260NVKHSV4vSyiot3pdvm8nq1eSqlIbxCZDUP+Qgo1lzkLRV1T+DIJMGerI5vPLjWdi1Nl870XXcvwuVPff3buEmXNaGGcTY9V3FwLnADPjRhwVQGB+MJIUHQvr9AuOr4jeon1aA0cydZTcVl0+1zNguVepcwpPW3hADFuguNEYilRXyqVsU/VktY8n2EMW1XCDzFsPCz6SwOKWpD63v1H/wq5n9peOc8ADhTrKNgqpi29MbYvey4WKw6PW2lWz8+mLe6RJ9xEOhOdHA5R95UgooeBA7nUCnBStUFIQRlh+P+lRpecNk0crraqDpDCHB6vQ7b57h0NoPDJ0/g/le+CrUvRjtvFS84jJX3/nMgWAUKlgpC0CaMpURWQ2ql07nuCRdMNJL2ZUnfnfdunLQ07M7qOFNsn89yfYGS46NgKI1XukDTib7qNs9N679DDIVCVxj+41Z5jz/90hlMpHRwIXBqTSbfhM7ARdtHwVQiL6espuA0gJTKcEEh1VjG8wVS3/0+Ko+8bGTFfX3Xvq7PBJqrM1QKhRIIAI4XXYJbjRnz6EU4VahHzOmbX/kGlh73KIiSTHDonDsLS6Ev+j6ederUyG0YJ+HxO4+7gQkJCQ8xyraHE2t1eIIM73BOGWxPwA7ePiqVfZG4GCobqhqYx9E3BgdEv3P7McjZtu3vln+v1TwUgnHmet2NNY/bSyB8rmRjLtOdkJQfIh52wYSJuYyBqiv72QTA7owJjwvoCumZsOOO6B4colACojTfwa0usyL4Pkx4cqQyHFFHvdOBtxcUZCjDiLrHkdVUeX4E4AWd3z05E3ef61/F8qpduUbbR6Hm8r5JhK2faj0EuNFGXc24btjXsVSGCUsFJbKfIQAslOqoB9Ue9rzoh6CE/aUB7Z7709/HCSsN8YQnA5DPiDhjwV4YKoHjSeMsdwTTqU7GFTOpu9Kh2eccbvBsWSg6oATIWYlIOCEhYXhGf1ICf0wIuRry+f0ggFePo0EJCQk7g9a+y8J6HY4nhYXwBZjU2kFVKCAwFoFW1fFRdzkeXK0jpTEsVeXAxfY4OOeYSmk4tV4HF8CetIb/uvk0rj08gUMFEzXXB0BBqAzPnC7aOBk4wpwtO7hk2sKBoKSaELIswyXTFu5ejA60fPXYGtI6hUIortqdRkaTQ84oYde4Onk+F7h7sQpDoXjE7gx0tjVutZvJUsXBTEoHFxt3VRmFh4uuZFiDrzgO2Z4vnUkNlQ4U1W46YziRNVdIkfAACAGWqw4mLRVV10fN5ZiwVHhcOt4IIbAyYLJj1NJNW4UAYgvKh2GrXYhqLoehENQ3ODk0LIQQ7MkauHepMnjh8DcA9uQMZDUVSzUbjsfBhUwwcTwOlwvYPkfJcZHRhhvUj/O4RwWyEjafmsvx+AM5LJRdfG+h/4RfFBt1OhqV9bqHvKkMVS5ts0lpDNefKA5ecIthQaWMhOEQ29F5fIhyfo8oNobHBTIaQ8X1m31mEa972XeZUBUY/De8XEnE1wBAyMZc/xvr6WxX54YG0acNKZWCQ7oHL5QduL7AYsXBI3anQQkBGacScgs4NGFiwmQghIBDln5Nawy6wnDRJMXRlRruXRpejLqZNIO3w+ELwPc41moudmcVzGa6BWKt1BwfCo1ObPyNl16H43feN3Cbr3j8hfjQN+8DENNFM8Y1mlldireuFvpdkrKiZ7yLNhS3vfHWD+ORy3dGrnuzL//W9acoRQrAb2ULmGEMf1/pTnB/2d/dhJrrY3611gg83x8RPP7+qSLe/COXoO0kRO4MwVIlWjA7aalYqjSvFYUCTz2ch8/lWl0uMPU37x+0iz0RAMw3vQH8XZ8AAJwt2TiQHy3ZvDOht+Z5Ddet1me0fKj1xxeAH1Q/yepKZL87at5OCMQSGp77uR/H21aX8H3XQcMvuuVnX6xX8ZV6De8sTOLxuhRjzNx5y8D1NtrW8bfHBaquDw4BFnyrBeLnOKiUQgsS1Ifp2kYtygjFaq39+VP1eFtfPmcokUF+TSGw/Wblp8Mf/EDXMoDAd0+uYiV4FtY93ih7DEjRq6FSrNU8cIGe8zcHCyZ+YFdu7POzo6fB92YypeFXn3QB/uWWM7j5tDyOy1UX8yUHl8+mIoWenVVhNEbQaXr45CNT+PaxZXzxLumAqyny6jldrGG56kJXaJuQaLXmYS6jB5XRRENkKgTF7qyOaau7PDkApL57Jyp//W7gA+8FEC8BI0wnP/v3H++7nO1yOMEBUBmBH3H0XV9sqHx5eE/0ipGkvnYDnM98Cs7vvqlrnOMJAfG6X8KT3/RbWz631o/zrOuXkJDwEObvbzyNW04X4QvgudN7MXXyvqGeT+Twkba/KaVDOS7oLSUuQ1HroL6eqbK+cfOay6UodUCnigtgpeaCUYKUyuBxAZcL1INY1XRK6+rLLVdcTFgqKrYP2+eNCjUKASZS7f36XtuUIur2z5drLnZnza5+YNwjuS9vwFJUFGtSHEwJhaGwxjHwebSjM8HGq4zVPQ7Oo6umMCr7l54Tb3wQB48LHCxYuH8l/pwDpQDv6JYroF0JXV0McWycDvE3o/KzU6tVOL6srFF1fVw6k0HB0hp9rZBet03Yp1SZ7OeTYJ5sqVpH3eOoOj5cLrrMriYstXGfzL3qxbHFwWFfev/bfwvHP389AGC17mKqJRFyWAjIWKvZuX5/s65+qCx0PJfjl7rHYaoUjAoQIs/bmXUHHgcm04lIOCEhYTiGmnkWQnwFwFeCf798E9qTkJCwAwidQgCZLegEk2M1lzdd0ATgtZR5DzPHuAAGVOmLhEPg1nkZzKg4Pm5fKOMJB/O4bDoDALh0WmC56mChbOMDX3sAFcdH1lAxYTEsVmxMWDoUTjFhalhqmdi9bCaF2bTaVt4zozPMl/o3Upb75vjqsTUAwL6cjmv3ZbsmVCkF8kZ2+B3uBZHB2e0S/IwTjwus1FxMmGriAreJDOti7QvEmvTmQjrwaoyAEoL6Nrgyqmx82x10lBRGcPdiES4XWK66KJgqUhoDFxhYHriTku2NPPjbTBgB0rrSs0zxqOzLGUMLW8fBdj0mFUIxndKw2COA3smBgtUo/TxtGW3fCSGwXHNwtmxjrT68QBgYn6OLMoIbVMJ4cLnA/rw+kkB4O1+vbCNqtzGiUIJzFRdfDvpsOw26ASf8hzNJ3zFhXEyndZRWquPvN4iO/7b8szNZbLkavy9pKLRn/zdyF4baL4Krd6Ub4+6Q11y7D6ylQ3HfcgVfuE+6u37tgXUAwNW70sgbbKRgSz1mucu4TFlq25g/iorjoWClGrEyAZlYqVAqk7eyWk+BsEJ7OxdtNut1r+810Eo6SGQOo2frdQ9LVRlQy+gMri8i15M1FPiBK05WD50eBc6cfCCWODjkZ590IT57+1mojDTcdXodNcfnmE41g38CwHMunmxfaAOvy6zB2oKVAnI+IhQQtsKFwK6M1ia8X7dtXLo3h6f+T7Q4eLswKcXPprO403VwvSOFjlRR8eufugMaI1itebhgdw5cABYFvnT7Qqz1RlXp6XdrU0JQMBWkNAUplWGp6mC56oIQeax0RuAcPNJ7BTFQ3Hrj34cnrZHWUay7OBYzCJ/WGCaDsqxEAII0NcMC0tXNUlkzD0MIGOpGfFa6+cNbv4Nz3O/pY8wB1CHwxtVlfGByBher2lDrJxE3VcXxcfdiGZdNZ0AIGao/73IBP6j4pilynkg6nEmleK/HVi1C0BB1vXVObdkex0LZxly6XSy+J2vC9nmbWKdjTbj7bAnzHYkSrSKcusdR9zimBohkah4/L8TBIZQQrNWb+xOK4797uoTrLsh1iU8FgKzOAndkASEE0hqDplDptCsEfC6F5GmNoez4ODhhgQuB+4KEhIyudCUXLJTsrvLRIdNWb/F/6rWvB177elQrZYgnPrqvQDUUrJwIRCEbxdiCOTztOc+H9pzny+11vOspAeqOD0sf73NmI3AxvClFQkJCwjhwfY7FioPTa3WcKdaRUQkmUxrOlR187RX/Bz/2+78w1Pr0P/iTtr9DQSgFie6TQEAIAp9zHFuVlfsUSqAzgorLkdYZHL9/fCVOwkdKG+xM7AuB2xcqQLmMp//dO5BeOQfHSuPrP/l6lPYdxuFLzC5jKwFgpepiOqWhaHsNQaYnZAWBgqk04n1ciIZ7a0jBUnua5ERVk4sYcnWRNRSk1Wbcw/UFpi0dc2k9qFJHIsW74f4QSOfUzrbGgRDZD7R7jPF9PpxJQdyKerJiSXykC3B3X+3QRAp3nC1iNq1DCNGonhJS93woEfMtKiONCoCUypEBIXKcLLiAy+W+L1Wdrr7cubKNvNU99shaKhglKNW9RrI859JtlxHA9QG3RTJesv02cbPt8bYqm67PMWmp4EJAP3Uc6DoCvWnk7H/jKxBPeDJcX7QlQu4EHI+P1Pd3fQGFyXkpU2Y+t/RTm+ZevRydExISEvqxc0acCQkJOwLRMalbdzwotPlZZ8dXDcWDLR3z4bvocuL6stkUKraPpaqLK+bSuCQIChgKwXzZxvGVCpYqDq65YAKOEMikNXzvbAU6oyCiiuW6h9Wai5orRY0XTJiYtJSuoFjJ9vGI3Wncu1TFStXrGXwjAHZldcylNaR12tNRwhij62LWUIYWI+5kinUXeUMOOB8CmucdhaFScC4igz6DCB2C45wTJ8gIMFQZTN8q0Ws44B8Xg9ZVst020XSnm80wOL7ApK7sOIFwwRqcIT4MlAAzaR05XW04CW0lTpCF6/jRJSI3C0IIpi0dukJxar3ed9kjkylotPc7ghCCCVPDcnX4zBohOMquN9BpIPb6RvhNMgUxPqquj91ZDWeKw10Lji/w5WNreOaFhQ2VRB2FmuPHFjFtJr0EQFvNxJ3fxbP/+ndBuQ8Qgnse83Rc/zO/gbmMjmMrte1uXhe6Qocq4b3V7IBTmvAQQAjR5ZCyFWxES9QrKLaZeJxDDUqncxEtKr11voyCqeCqudTQYinOhbTwHROdDqFRnC27WCg5sFTaJhLmQCMJuBdkHD2cEU8jF/GuHwL0TfoLRWEFU+0a1zBKsBoxJnj18544VFuFD5xdLWIqn4k17lEZ7dvmfG4CdG15uDYE/y3Wo9cbJX6khGK+1N6H53UPb/nIbwDYef1bk1C8PTeJX9x7EL/4Zx8BINs4k1JRdnkwtic4t17DUy+bhYCcI2gVQC9VXFg6AyMENBD1TqXaExMZIehVh8HjAmXbx0zagMFoZHUt+7ofAt7zzpH3U1hpXLUrDQCYsBRMWSrswPW19XaiILBUKgPSaL9fhzl3Zcdvux6j5kc6r+sCms8fEvyPQlqc31oE01MpDc2Sus17MuSVz7gGK9yP5bhmQ+C9pXX8+cQ0AOBphwvN+Vchy+BKt6umYysAWBpFsd6+hQsKFkylmewRii3i3MO27zcD8eG0JWmKDYSQ117OUBvt8ziHqTIUTBXhG04IuV2Pi+Y9KmTVptaxRd3j+MbxVTzv4ulAwCphhGLKUjGdiRaanlqt4WhExZ9OoY6hyPfDRVMpUEJwpth8Lnic45LZLGZ7bGMjbPZbPq12C0RCs4/OR6IbOGQbvoCAQEpTUHY8ILg39uVNfPHOBbzrS0cbv7libw43nFjD6ZIDAoBR+T7RGMGenAlTYaiWy8Bznw6UywBlwPOeD/PNbwUg3wURTQQQXMEEMJQMjn/9ZphPeiRoD8EOpwy1r96IqZZ3fPj7VkNuIWRcgVD50JDC+PBuaR4QStCoPNa6xc4+gVyuR6emdXqWALbno1j3us45IUDFBbK6Ao01D4bH+Y56ByUFXRISEraaYt3F8dUajq/U2sekhOCyGQucCyztOoB6OgujXIz3zJyaBtu1u+0jIRCYYvV70AlwIRp9uJm0Bs6BiuugavuYstRGf1QEfTGfy/kHe+C6JWqMiS/r1hvx02/+FTnX2MIL//C1AIDVn3418NKf6/pdwVQb5iY5Q4FCCdbrMo6wWvNgqgyfvUeOvRgBdmd1zKQ1ZHQ2dEUvtWfSloQSYHdah6FQMEqCJCT5nc/RSD6rub23K6vUypimpsRP6iFE7l8/s6RhjX5YhNNvHCyVIaVSGKoCQ6FQGYVCA5G6IPCFiHz3CgFcOZeFz2Ull06BcMn2MJeRMXgESY9uINptEPzbVGnDEC4kqyuo/fsnUfjH94EtLwIQsBUF9z7laTD+zxvhT8/g4EQ4D0RACIk8XlHnpWCqXe7HpirHk4TI8+8TAf0PfhfAaGPxve94I6pf+y4qjg/b8+VYcQQ2Y+7QF8NfXyE1h8NQo481FzLevVPMWxISEs4vEoFwQkJCGwJNxy7P51irevC57MR0lpFrlnff+IwRATBpKjhUMLBWk04k9yxXkNIY8qaC+ZKNfErDusuRMgGn5mIqpWG97uGOsxVkNIa1ugdG5GDtsmkrEDZLAZksudK+vYunpOvBctUDIVJkkzOUxqS0pZKgFNrWdbJyuoKMpqDidoiEO5MHRdt/5H+DP7gQzYlv0rtTXXG8xo87z6Do+GPQGe71fdH2cMfZEg4WLOR0paejSMJwtA8qhr//fCEFxsMIcEOToZRGwYXMXu4cTI4LlckM7d4ZkO1BQMePV+LS1ChqTvQ+lzvrKG6QqKDpdjJhqmNtEwGwN2cio6kNR7btoOZyqBRQVQoIbJlQkRCCrKbiwimG+yKCjwCwN2dAo3TgO4QSgiOTKZyr2KCkNUjaXcqrFV8InFjrL1BOOH8gkBNyZ3p6iO08qi7HhKVuu0AYACZMBdcdyuObD6xhk15NPbny3z+Ia7700fYPhcCl138Jl17/JdQK0zj2jo9sbaNi4G6DaHIYknh0QhRCiMZYp9/7VQgBT0jXoY0kfY3K+Xb9vv/G07GWK9o+fCFLk24ncQOW3z7RLnfcnzfi9Z3I9p7BOALlRmWnAazWXGR16YIaBrd7/cytD3+v/MoLH4t///rdAwNejAweL5z518/iwLOuHboNvj6sgE8eAZUAOgQeOFeGX65jwo9f/nWryTGGP9VS+MJK8/pllEJwjqMrUdd0+1m+8XSp7e+ZtIofmEm1fZbVe7t8r9Zc5E0F9yyWwQiQMyP6f+l0myh5WObf/Q+YMJVG85cqLuaLDu7ucPo2FIKnHZnoKqUMdIuex40AcGKtPelrKqV1OW51YqoUX7hvpe2zpfkzQ233RqeOJd/HJGNtpW8J5P3VdIFvHn0tQqzBaPscJwGBHlNkcWyl2tNxt2Cq8IVM2lMoRXgNnlyvRSYG1H2Bbx9fb/tsLqN1BebrLsd350swVApDoSjVPVwyk8b+SSuyH7BWtXHrmfWuzwE0HK/Do5fWGZYqshQxAOzOymo/pkKxZ8LCZqQLjOIgNiyTqW63tyccyKOfdscO3JQ7XQwvmc00XNiOTKfwlh+5DCAEn7zjbEMYvy+n4/CkCc4FxE03oPraV7avnHPgkx9D7ZMfAyYnof/vN9sFKxFwIeR19rnvAABmX/tT0I4/AACoH7kIi3/xIblgzAT43Rmz5aXZuu3mv021lzCp/bNhRB4O5zi+1jtRtGCqsm0BNZdDVxj0XgrqLcYXgBIzcSkhISFho9y3WMZtZ0o9vycALp9NQWEUk5/7H1Sf8jjAGxDPUVUYn/5C18dx38WUEGhMmpN4XDQS2TlkstlG50MHxbNSn/4opt77LgDRvRIBoPCPfwvtru9h6ff/vKPtzX+H73eFAAVTAUBQdfxGZR5fACfXbZxcl+7/V+1Kw1Ap/MDFlEK6+05F9DEAQGcMB/JmWyyaEgKV0qD/JU3GHF803setFU4F5Bwz6yH+VSgCx2O5fBgPYmxwfFNj/SupjmKIFLdSnM+Bq3dlZSy1xyaan/dfn0IJNCYTE6+cy8p+sAD8IJmyVZQuE/d6ba/9C37mNPhLfhRTFRnfalw2rgv7i5+H/cXPo/i8F2H6T98JQ2U4u17v447dvm4hRJu52pQl44iuLxrn3/E5qq7A/i9+tu/+94MIgeWgT1i0PVjqaGNCnwMKA7wxh3XrwbUdJusRItuZ1ZWBpkeDpr5WKq5MUFVpLNfyhISEBCARCCckJPTB8fzGhJ+cpCLgQpZXoURmoY0bhbUHeyuO3xC11T2O2bSG2bSGgqlgteZhwlTw7IsnUA6CXVyIhntFiKUy+Fwgayiou7zDJYTg0hmrbYI71ZJhthV9KkaAy2ezEM3xEfLGcKUDh4EA8MFx72J5y8o3nynWoBesyFInm0nrQPOhhD1iaZJW6i5vTGxrTGaqhoOI8LIXEPB8AY8jUljbTBIYHyxwnpHj8l7rbv+c0a6Pev7MDJyQwyFzOIlQHLNAOExM2G4YJZi2NJyr2GNz8Z60VMymdBAyRiu4DeBywA1qCofCd10hICBwfQ5NoeBCjP1ZQAiBRhjmMnpb+UxCgMMTFnQWv5vNCMVcygAXpJGBLt2potsshMDpYiIOfqgx7ufQsFgqA6PyubFWa29LVlegMoKVqguVEWQMpSFg0hjZcvfiTiZTGhgAekEeXx7gDDlOnvyXb8bBO28E0Huy3lxdxMt+6dn4yF+OPtm5Gez0yg6JY1VCFHXfx7GVKlRGcHgiBRbRF+FCYKFc3xZhcMhGhpCjVAcZho2s2ecCx9dsHCroQyXRjntv9uYNZAwlcr0RObUQQcJrzmDIGalAYI5g3qBbjqtRinosX89+CExYMQNTHcnAlATOlug9H9F1lQSuVWsR1YiKwVzJVErter9vlPXFlYFCL0D2LXpVZGplFIHpqX/q/X6lAPbn9bY1aoxgt6Xg9EoVFZ8ja6rQA3HsTg6pTZ+8r+1vnwscixQHD8Yfod/m+gJ5Q4GuUqz2OJfLP/fLmPq793Tlt/cjHJdnD+zBiXUbJ9dsHCgY4ELgVMR4x/YElqsuzKhKXmL0Mxjnlz3F+3fciskPvx8AsPzynwcuv3rkdvRCJQS3OHU8zUwNXrhB//MsBMe5qoOKHT8KvtwhyDwymYJKmwFpIQQqrtdXFAkEzvIdLJadrv7pWt3Dd083kz1++OIpXLUnF7nOuuvhGw+sRH4HyPnliZaS2WGJ7XuWyo1lLJXiSYensVlPg63o3rbOTYTYPofVp7KRgDTNSGkMTst7QgiBP/zc3QCAv3nZNbj59Dq+ePPptipGoaDo2bd/EQhETD1ZXsbaIy5D7uY7+1ZC6jz6Z//6n/qvdwxsxrlRCUHeVHq+e6MSnsp1b8cIhIFuv5KEhISEcbNSdXByrY7Ta/WBVcoIAUyFQMmkYHz1BtR/4vnAyRPRC+8/COtjn4ZpGR3PseGe+EZQvTBMVA6FfoNiP3Eq/nU6q7axsthXHBx+LgCkbvw2ap/4Z1Re+FIAUojZOfYyFIpdWQMPrlQhION6u7M6liL69bfNl7s+A4DLplM4kLMaFUl80Yy/prXhRJmUEDAqoDEKL3C79YXUISiUQGWkIQTmQNe8s8sBQgZXSR00Vh2lKuZQmoE+4uBBaIw0HJe7Xal775cQgMqAzsurM8mJr66g9oIfBlw38hoLP8v+x8dwwtJQ+O3/23DeNhQaOACLxrnxfAFToxAc8AVHzeW4f6WZ7MmBRj88JGsoXZ9thLWai5mUMbJYVmUU3pgMNUKdSs5UwCjB/ctlnFpv9tMtleHQRKrv/Pegp0il7iNtKKBUnvPEUDghISEOiUA4ISGhjdbONA8ymhQqhR/rH/03+O99N2A7wOVXIPXXH4xcx0b6IHGCS60TugCgM4oyZG+3teMXVA+D43OkNIaK7cNQGfImkfsZDORcn2PSUlHzeKQLyZbQJ6tvHCiMYLXmYL3uou75Wy6aTWlsy8XBgLwWw+xKDgzlmLuT4WJj4mdDJai7AnWXI6VR+FyM5AZOYmbLxkWhBKpCerr8bpTObGBDodAUmfAwbjHvThCmz6Q1FAwVjFCs2+5IpWw6OZA3Iyd8nB0ghgaaEyCtkybhfpsaBefjFQoLwdsmkSYtdeRJiE6hDRdClsWOWJYLgZm0jtmWzxZKNir9JhYTdjRcAFfvSiOt1XDvUv+A+mZhKBQrgaAuo7PGZK/r84Z4Oew3heIAnRFkdAU1l6Pm+dsm6qy7HLszBs6Ut86BOb1wsq84uPVzhft43lt+Fv/xe3+/JW0bxExaw7ktPFajkAiEH95Id1QBjwuogaCFEqAWvOdcX+D+5QoOTljQWsYYXHA8uFYdS59nQ2zg+hU73H+4tgP6GnNpra/baT96uV+2oikE6NZXwVJZayYlaq7f+2wREjvQRYENy5EBOebux2rVRcHShi4ZO4hS3YvlohqHEx//Hxz48afFEiQJAL6RwuRMoeGcRAjahFgcwIm19pN5ZNLEmaoHYmhopGXb25dQEBfScrUdmTQRdYRY4Ei0K6uj6vBGpSlKRBBsp7D9HtftgAMeJu5PMbVnYljlxS9D7j8/CnXxbOxzCAArL381yraPc2UXS1U3UqgQktJptDg4xj7Eacsw7HrFC6EtnEKrZDd9200AAGd2N+b/4d9Hb1AHHIAtBE4/9UfGtk5CKGZTBlyfdznHRhEKYkJm0zryhtoQpyyU61ipupFil86Ewk73MgDYk+vv8p43FDz58GTkd67n4ytHFwfuQ6cDvoB8L4Rj+sfsn4AyoEz2qGxG+k/nJS8ghfxXzKVAQBoCloKlwGAUnHMIQiA4wCHg+7wxr2d7HELwYD3STP/BpQou2p3F4y6ZBaMEn7tnCcXgWlEpaYilJlMqZgaJg0M4x/p11yL15e/E3s+UxroqYl0+mwGjFI7v465z0UKm7YYQipmU3js5J+KZtRnlrTdCGBtKSEhIGDeOx3FirYbvnSk2YtKWygaaEJQdHyfXqtiXt8A+/QXwchn+O38P7r33ACAgF10M7Xd+D8w0oVACz+ddVU0JBLjg4JBzT1zI6pQ6o6AdSchq8BBUKG0b77A+iTdAvHFzPajMJlqcRZcqLqoux+HX/UzQ1v6E/Yup9/8F6i/6KeQNpa0v7XFguergYMHEmfUaDJXhTMnG7fPxzKPSOsV1BwsNMejdi0X4Qm73wqkU4NEYrWzHaHEJrgWmLyqTMTrbk/NAHhdQKKCwaOd+jRG4fv/ZE1OlcD0uXZBpkOoXHDAuQrMxMVR1AGDImGjHsmqwT63GRb1glIw8t0VAoFABRql8jxM57xCKuxklKP2fNwDu4HEwAeD/6z+h8oqfB5uR0agwlqq3dK49DrgtcV1GKNTgPAHRwuogxXCkfQwRSjNW6YuOCstDwjfYDVOoFBlzIU2+9uQNqIqcp7lqTwGaUsSxZSmarro+fMFB0ftZ0q89EykVOUtFOFPgc2AbJBgJCQnnIYlAOCEhoScpXcFiycHq854NHD/W/uV3voXKNZfKXt1Xb0AqnW75cvSZo2Ld69shnzBVeD6HqVDUgk7oas1FRmeghEBpcaZJaQoIAVZbJuJqHaPBYkfgL6UyGKrMGlSYLH0Slu8LO84QcnK+ZHuxBM2D8AVw23wRu7MGJkxt7IIIhREcXSpvq3BsteZhf3785TniQCBQdeWActjB3k6GjSjO1RU55DBUOVCsu3xkJ2mfC3m/uHzkYRwlMlOXQAo5PWf4NY3qtGZ7vBG4PDxh4WzZhqbQsWSt+hsdTfZhylIxldLh+rJ0dqfraEpj2JM1G4Ia2/fHct0bCoWldncd9YhM6+1yFO2X8R0KzxkdPXO7Ew40HAoZJYGz8niiJ1zI8lq9MJX2c5E3+cjPeYWSwLF4SJJA0YZRKQFjBJ4vcOOpEhZ7iJYetz+LvKHgznMVHF+LUC1tEEZJWzC/1MNJrPNZYvsCdvDMTGsssoTwOKEEMFUGxxc4vlrDgbwBlwus1lywICFoq/ixt/08gPi3wcRi/FLSm42l7gwH+H7sdJFkJ+dXa3celAAPrNZw+9kSTq3Xwbl8x1IAl86mUDBUVB0fts+R1hmyOoPLBe5bqiCtM1gqg0op/j977x1vSVaV/X/3rnjijd23c/fM9ExPgpkhDTlITioCChJFBUQFVEB9VXzFLOpPCYOA8DKgoAQJKkNQcs7MMEzqCZ1vh5tPrLR/f+w6uU66ofv2cJ6POH3rVNi1a1fttdd61rPmSt6mqOCwljI0G60gvNavZMoy1s3W2bTo0v1eGLYEl9sTlwc5RzvGXHMgYt56IFSwVPaZTFsYUiQS9IZFbmocBXWfyZqRzXLio59j2zN+qr6pkwCnEdo2Rz/2OSj5TGXsOoG2n/JYIlTjP5t1dC9s3Q3AnnGXU0WfLZlGIDRtSTK2wZmij1JwpM1WfMqByRYbrjlQW8Ogj7DoheQco6utePx9n2D6tb9G5qbvtbwG3Z7jygMeQuF5LwFAdlmP5B2DK2YyTKR0VbAeelmD3UQChn3ue550bf2YpHuzTx5nz5Ou5frrOstarwYCOBOF3PXS17B3Xc7YwEzWZUsmYrZQbQSh46koZcWqbpEC1Tq9LVd9zpR08iBCEEWKtC0xm+zx2r+WKgHZ2G+ruqxzq0HEBRMp5st+XeVdKU2Y9EPFky/d0pW8+9W751q+z3X/LTTOBQRK2xY518QQmixSI/tMZ2zcDVRu3YiZvfOcgmt25rjlZCthtupHVONKS80+k5QlKXkhlRDCKCBrS4QQcVUvTRq+eFuO+27PUfJCJlMm465BECmOL3vsm3C5Z6HCI1/208M1fGmp/s8k35EuY65tPy+MsJLWeEqvoe0+BK1zDVNIduZdgijS37j6eyRwEpIdNtvdbPaqMyOMMML5iePLFb5290LH9pIfkrUNIhV2kHpBk+/GUzZLFZ9DiyUunMwgxnNU/+yNJOnXapKpwBCqJf6lgCNL5Q4f5oWT6Y5ENCu2PRbKPmlL1m2YfmupaqAGWnO1ryfvOFPm6HKVyxbmBrZPa3bOzT+8g72XXUjKlDiG5M75MnfMaRGKH58qsW/CZb7kk3NN9k2mAE1SXa4GXW37R18w0ZGkQ3y9288UAS2YMpGysaXs6yuQIjkZxhB0VCoN4gqjC+UqWzJOfUyYUs9P3XpWCk1cra9/QkW3AKiPTqYcCkPsXusN15KomDRaq4TZL1Zd9qOOBL0kGEKTjpttPIXuv6ApRumasj6v+4Uiwfe+M/iNAJW//Usyf/MPLddVClKWoOxrL24rIViwLetwdKmCQtujIr5v25QYUttyPzxRxD5wNdtv+8FQ7anhzPs+xphr6urUrOJ5NmFYNelm1J5nc5+fWKqwZyoN6MrZl83kWSz79ff+jjNFLtuS62pvBVEngT1tSbaMOfVkBlM2EoVHGGGEEQbBiCA8wggjdIUQguIDr4SwB9lDKXjkAyl+8D/J7N8PQMY01hTomnjeM5g+pUkU3r4LW0qJ+VFExQ/xI638MJayWKroBYwlBWMpE0tC3tUKEJHSZLmyHw7k1Cr64cAEq6xjYAjVEnyyDEEQqaFJvtuyDhPu+pODpYB7FoqbQlXyXCnB1Wzn2oKoX9mZzYhaWZ2KH2HI/sTBXqgtclxTauXqNbTLa1pcr4Z8bUodeDhXys6q6b+abFldt4Bw1rWoroOKVjv2jKfIWiZCCAxTsitvsOz5rFQDrbJnCGYyLmZTkGQ9+HIHprNIIRKzb71Av1dS6HFay5DdrIR8KUBIMVCpr77nQnBgWmtGCSEQCaXOzwfkXZMjiyUu3ZoDtHNmhLMD25T8161zffe7Z6GiS7/1UT1cLcJIrZlcW/DCgRyXa8GJFY8fn2qUJyv5EaFSpC2DaqD48aniWUtQkKihnfWXfPqD3P7En9/AVt27kLIlFa+RzDP6Mp3fcE3Be753nEu3ZKgEERdMptiedZgv+3z2jjOcTPi+RcDNJ4sd29OWZDJlcfWOLIVqSGGI8uhnB5t3tK61ZSdXquwec4aaM9Y7TnGu1pXjKZuayqIUgkK1u79j0CSHdSPWDgjLkFTDiMmUhRTgR6oenDIdk6DHPSXhTR/9FlnH6JtgGURqcB9RNsvhT30T8+3/wI6PfqDjZwWcfO3rCR//tPrCXqCGsJGSR2TFsHHDzauu/1+vfwegyXTLlQBTCi6aTIGAa171i2Rmj9b3XZzexsffcP1Q5x90KJpxmdteOPPGt3FL0cd7x3U8+NPvR9L57VHAoT9/E+L+17ZuTMDF0+kWpbGuUJpwl3MMHYQOopZzupbRVel6sNvXe+1+8kOIhbgS0bz9ha94Eu+97lMDnb0XfKW49fmvZfcGOLMsKYmUQCIo+K3vaM/S18A9C+WBlNmBlrk6ifB5skt1i5xj8KqH72M663Q9t9/WL0Ikl/aufauSvkUXTmU2LAFmI+1YpRRnClUsQ3K6WOW2Hmq6jmlQDZpU1mP19W8c1oTdx1w4hlJaPGPHlEvWNrjKlNw9X+LQQonjy9WWdVbNP5QurQzd7tIrX8bYW97eZd0mWKoEKKUIolYVxm1Zh5ms00Qc6/3Muv3aniDdnqBlGZrMvla/kRCCcddOrBaQtG7Vf26edJVRVZcRRhhhPRFFipPLVW48sdx1n4IXknUMyl5Y9y/W4r4L5aBuyy2FAbefKbBnLNWh+tuMIPZ3hm3f25xjdRCEvTAi1caaqSVz6G9240vuD6A+kjLlUEIKtiG4eDqFFa0urn7x+9/Gl371j3jixZPceLLA8eVW2+rwYgXXlBxb6hSecE3JZNrCNmSdgLtn3EkkB7djruQzV/IxBGzJOuQdC1OIDrtKKcXpsocpBVnbRNLYx48UQRRhGw0SqynhjrkCJT/k+EqVLRmLHfkUKtIVp7pBKaj4g09gGznXWYYg7BL/rAZR32pCjikT48CuKesVlBU6PtdccTZRrbfpNQk+9G9D3YcAoi9+DqVU/ZkZceVpt+lihoBIajurGijyjs3F06ZO3hNw10KRkh817knBfDng06/6a178iicOZQHV7r08MU25yba3pGQytfqkvyQxpG5IxQIcQRiR9BkKI1gu++RTunaREIKH7pviU7fOxnwFRSUIsY3W9jqmTmQMgqhlDTyRsRiPVYNBK1JvUPGTEUYY4V6MEUF4hBFGaEGzf+zmK6/oTQ5uxs8/Hb53iz6HlOzIpdiZa/z8nePL3Hq6SCV26tVsRkFMqgKe+auP78iUd+86yN4nXUskJR9583+zUKzy2CtmMA1JoPTioxaczDomJV+XR5trC1BNpa2ObWtFoRpiSW2Mh0ox5losV3zSloFrSopeOLByjbVBVtxmKgV2bprR6YbfJN3RE64l69VndNahqjul10sUrTY2TUMQrYFIpcvNq1VlV1qGzi7dDFDAnvE0hxZL60JwW+/SvTXINueKEIKcbZKzrYaCUZsHwJQGl05nOVGorDpx41Sxyrasm/ibolaOS7UET8p+dM6UhHvBD3Vm83oQhIUQmGJz1O6ZStvknFbTPmkY1obHfNmj5IUIAYVqgBcqfnhimbRlcPFUZqBvzfnwPd3smC8N9k6eWPE4sdKLtLK6sLMQ2mnnh5pkqxRrUt/MOiaWIVtKFa/HN9WJK0c0k4MBjjQ5tQ/GqhibGQ/45L+MCMJDoOxFCKGVtGxTQsL4TFk64ansnduElNH3sDtSliCMtILOmZLPVw4tAvCdY92Dgv2gAwr6/b94OrUezdw02Gj17LWO1WqoOLRYYf+kew6VhDe2j1SX26oFo+04IW5dbMk1n6GBKFLkXaOjDKWIA4eWlCyUfdrdItMZnXT9Dx/+Ir/x9IcNdc3tk/nEOT5rGx03VysbO5m24yCYrAfW66dQUI3LDgUvezWHX/bqxOs6puTW2QIIgRBw13wZgegIhPqRalLa1b8nClGieO2L/5E3v+vXNhEtS0MRB42rHvt3jHGq4JGKq9484dd+GrfcSQacODPLi1/xRCqpLP/2dx/h6JLHjrxdX7MrFZeDjZW3hlGTNqVkZQA/oVJw+8+8iNt/5kV6w+wsl333fzhyxYMp7NPiAlLAo5oPWmPHa7dad7J4pLRvsP0ZN1vRS2WfmniZjFWxWnqnUECqaKCmCnRCGbOzsG1by2+XP+kX+fGn3j/AWTR84MATnjlksntSKzu3KRVR8IKOykSDohLoTqqEimoYMeZ0lpo+uuxR9PT5pRDknN5r6JP//ltcfMeN2JFiPusQfegbkN3W85hm5F2TxfLg95N3zZ4E5LVivWetMIo4tVJldrnCseUKwEBE7Xa/nS6tLdiZdzi2XOW2MxUOTKdIWZJKEBIpxVLFZ8zVFfou35rh8FKVhZKPgpYE8mFfX/XVL9Od89/aY9VAMZ2xdcUmRKuvounCEymL6bSNIYSey1UyQSZJRb1GGM6nTBxTknX13BGEEYYU9VLkS6sUAkgaA0nbqkGEH0T1ctTnGjV/30iVboQRRlgLlFIsVwIWSwErlaDvN6VQDcm7Jn4QknFMFkp+xxx3+UyWneNpbENydL6U6Mc2JNiGTCRnZuzOeGwliBhrMweseH5wY9KgExMzjQGCro6pKzHURFUMKeqx2iiCQEUEIYQqohoovFArHu8zK33PnQR3RftYbjldRCK4cDLF0aVKPTYTKdied7gzwX9aCSKOL1eZydqkLMnRpQqXb03XCcJ7xlNx9V6va3wpVDC7UqXsh+zIpTpsg3IYMrvS8OOmLYMtGZu8YxIpwZ3zRZRS7J/K4FoGt58uUm4qSXu66LNUCbhyJo8JdTJsOxS0kGX7YVg7bZj9y34U20utRx266yB/8frX8p1vfJUgCHAch8c96ad5zev/nMmp6bbjOwWvmuPFNUghSFsCP0q+Zss9HD82xF3E5w8CUpZBJYha1LQrgcIxtd+vpgIdRgrL0HE4q0nIaGvW5fBiY/zV3swLv3LDUG2p3dnhj3yu47fZlSpTaWfVxO9er7Ydv8dQI6I3qtuEXfzScwWfnGs1/GdCcP/dE3zz0AIAd8wVuXr7mBbTQlH1VTx2W29gS84m65qA0KrRcmSfjTDCCKvDiCA8wggjtKB5IaWWhlMAKL7il8lc9y6ADpVJP4q6E9MKK7z4dc8EujsUZRTxrF9/Mq981fsIInjcFVuxTV2yxAsVMzmbkz2JMxsDP1alVTQChl4Y1hdOaUuSc8w4A1JhG0naKcnqGUkQYviMRqPtWUynYyenUkM5zNeKc0IRTOhWexDlmXMMwdkhuqxV4XUtx2sH++YijppSUPRCxlyTkqcdUe0k+0I1oDoA0215g0oFuwnJBL2y5GswpGRnLoVlVFalQFrywlXFa6XcYDnRVaLsR7hWsoPwfEUYgdE+Fno8tDHH4lSCSlPJDzk4V2T/dIZgswky3gsxmV6v5dhw71naMkjbuqSsF0TkHJO5ks94ylwTQbhm62Vtg+mMRdmPKHshE2kTlGChPPz3x7Ukn7tzYWDH7maGDM+e3XVvQY2YU4lL0ZlSIGXj8+aFWmFko9Wr+yHcxIqxZwtpS7b0QjmufFFLBpstdKrUrBXVAVR7RmjFeozUC88pOXj19+Caet7rh353Nljy22D9Y6xHqY8Y5SAiZVvMV7rNtcn3fqboM5U22bPvQnbt38PRg4d7XsdB8GjX5Q35SRb+8e/glb/TsU+SUlahGjKRMil6AWU/ImOTqEjlGP10lHTvHllenf8n75g4Tf0uBFQAslmOjW1n59KJVZOEk45rHi1DE+ji/77qVe/j8mrIE/dPc9dCiU/dPsfzf+MpmFHvNZpbLvDC33wK85/9Zktf64ByYz/bENiGZDqTtK5sJQAaUpNs+30Dji63ffO3beOWpz6/9f5UU2WkOGlxLaglo3RDyQ8TFXGnMxZz8Rp5uolQfqbo4ZqSbExm9ULF7l94wtDteuGfvYTZT3+9ZXw85M/eyAuGIAg/5Bkv5KIpTcwoBxF+GCGlREK9mk87KkHIZNpqEKAVLFY8pBCMuVZ9gAWRouAFTLRJ5nX0pGqMcR2yVtw0W+TQYrWFZD6TtZlMW0ykTE6seDFRpPWdvmxLmum0xXI1IGUaZBxddvnYnzyWZx70GVMSqBEkQ05c/UA+mQs48K5/4aoHPCqu3tMQnXBMWfd9KhSGEDr5scuMIdAB+Nrx99s1ntiH64H1Vg9WSjG7VOH7x5dati+VfSZSVr26VDuS/HdRTPys3frx5SqXTKcQAo4udZKTThd9Fss+QmjC1PHl1RGY4hvp+lNc8KyFQHym6LEj59Ju+gk0aUk/c7PzRxrqbs2b2wnCUsDe6XR9TNTbEvvgDAEGAjGECkfKkvE408e0938Yl40W6O9L7bmZm0wKLlLrU5lshBFG+MlEEEZ8/9gyUgi8IOT4cpWJtIUUvSu+LlcCduQdZleqifs5poFl6Pjwrsk0h+dL9UTJUEUsVXzGXatj3qjBTUjEWK4EuKZHGMdyg0hhCHAMwUIcR60l2wwSE6v5WRfLgc72GgATKZOF6a2D7dyG+d0XAjoOVCNhWhIunEzhhRHHlqqs9Ki+5JrazjxZ8LCk4M75ClszFlsyVr2i5a68yfZsRNEPKHohS9WgxQ40pWBHzu2wq0IVcc9Cq+hDyQ8p+gGHFsvMZB3SlsFyNeC2M40qUs1JPY4puHQ6V7f3bUPbg0n2fzVQGyZcM4wwUKQado0CoijieT/9WH74vW/jALUVk+95fOZD7+dTH3o/L7j6/vzWJ7+gr4W2J0ptseJaJeNmBFFEbanjh7q6Zxipeh+UvUbFT+EmCwH1RM34prO6bdIzMKXsUNrON4nbpCyJZUieevArbHn/P+hLDNCMGnX28Ec+B5lM4u+GZNVxrTBSmLLG2aglh2uidnNF3XaI+FuR1BenV6pszTvokr6KI23vQtELOlSEm7Et75CK+86U+n8jjDDCCKvFiCA8wggjtKBmgN3xtKcPf/A3vtb1p+YssXa8qA85uPm3N/3jC3jlq97HLSdWeM6DdrFrKg3AyRWvp0pwJYiYSlstaiCrxZhrUvDC+sKn1+lsU1IJepCjY2TbnZhtMA04sVxhruRx6RZdAn4waKWuMdfEDxUlP2QiZWMbBkopSl7hrKl7nhNfYsKtbTJOaiKqQRQ7krUS1EY9o7UQdF1LrIlcbMp4oW4KvDW+lEkL4tVgsdJabrLb98QxJSlL4gVRYomf9WxTM7ZkbIwe39J+EEIwnXKoBoqsbWAbEi+MOFlIdrTpY7Qy7XTaXhURpOJHayaibxTOh2/BRsJvl5drQtEPWakGZCyzp7P2xIoXq7aK2v/VoUl9qqOfa8PINSW722UZfgJR9EKecmBSO8pDxV1zJQ7ODx9oTdsGGXTyxVzR7xuENg3RliygSJly3QLjBS9sIQctxErJw1R0yNgGN84WOLy4/qTCc4VSfuJcN2FdYQh4wiVT/OD4Sh+Fa7h8axrblEylLD1OSz53z5eZb0tWyzoSW0qKCYlSilixs+mnTTPH/ARPKo4pkZKOgAXQEow7tLj+Kt+Xz3QGA857nAdDKYygR+yiA+u9DlytynLaNurl5Xuefx2ewaD3vFAKMAVr9lGA/h4Ocn9JEEJQDRX/+OFv8Lsv+CkO3nRrEzUvPn9sIzw/neNXsnmEEEx+7AOU5k5Q/IO/Hug6C4MkKA/QeWsxVw7OlTq2ZVIWOdfkm2+8nke9/leYmj1cH2W1S/UiDau2/7ajYli4oT90yVSA7+24AoDlis9tc0Uunc7y8+/+zb7k4FrbZRji/tbLKf71W7vu54UKL4wolJOjqDnHQCAoeMHACraDJnZ988jq1eTXgt1jWn1eKQUC0lZIyY86kmkrQVRPngsVTAxaZa0JMgoTyYiv+I8fc93PXd73+B1XXss1L/i9utrbvokU9yz0n1PvvzNHvotSb3uiqGtKwigijBpmVtYxiCLV1ecBWrH1rra1y8mCx8mERNRm5F2TbTm7Zdttz7+Gl5y2OLVV8p09Es+CdAkuOajIlOD+KyblX3gRL/+VX2fL/X625dh29VzXlDxkT75nG2p40J4Jso7Vf8dNAgUEoeLKmTx+FHFiucJyNcCPYKHsd/SFIWAibeMFEeUuyRcXTKa4ZDrDZMpiJmODoONdUErpMRG/svq7sYbJK8GQMKXAlIKSH7Wc25SCyZSV+O03pGAyZXe8Y81oXyvYhr5Os8/ONMS6ksRly3WT2xapxj6uqZWRLaOzKti5RqQadP0RRhhhhGGwVPb5xqGFDlLqfEycXa4k25YzWYcJ18KQElNIDi2W6t9GQ8Bk2sI2JN85NM9SNUApxdasQ9oymS9VOROvifKO2VUNNCnG4oVRR4KMIUXXahsSkLJW8VHPz+3TkTlkLKfu96L3+iMJ33n2r+k2Nx3kR7raykWTKXKOQd4xsKXNsWWvZb1jCNiadTi8WImPU9xyqshsyuRZl29tmZtqfTdf9uMKMRZhpFiqBOybSHWI2SilOLpc7lhnZ22jbm+cTEgozzkGRS9kOmPhh4p945mWubtmK3QjCkspkJEasgJHfwx7Oi/UCUHFasBPP+aBHLnjNqBBDq6hFJ/5fT/4LmMHdvGS244CcHp+GR71oBZHRZ1CbTtkvvEDQKv1NosnlP1IV41pQs3ukI99Arz33cPdyMw2glCTZwfRFqm1VhNatfJ2hOKqbXkQ8MMTy5T9iL1//6fA4GNd/PsnODQ2o88tdNK1Y8r6NZTSNnGN1J54DuL4bag6rGMvVE2Vbxt9HkKH/diMMCKudt35e7EaxhUiJBGK423JtO0ib82YaSIHW7JWNWeEEUYYYfUYEYRHGGGEFtTEHqs//OG6nndLxk7cvuvrn9HZ+QOco7bPCy9U7L70ABdNZ7jtTIkwNox7OQOLnlb1TVkSR4i6eoAX6vI2acug5IfkHAMpGuVelIJQ6dIuKF2eo+KHA5VgTFsGhS6L3I72BSGOqTP6KqFizDVbaptWg4hTsULxzadW2DeRIu90z4AFTSq+aVarQNcIjztyDjnHpBooFKpvqZHzHgkDK1IqsZzcZkKzkxi00S8QmIbAC6J1W9SKVT5/Q6w+AxO04722YBfroKdSU6hbq4icN+AJqkFUzxbP2gaFWHW4poosWJ1KZjfkXZOsbTDuJH9Hh4EhJXvG0i3bxl2LuxZKHeUmAXaNueTttV1Xq/UKKv7meud0WbDBy03dmzBXqvZVcrxrvqQz87fkur7vJS/iyNLqyJsZ2xgRhGM0f+8LqyQ6tlcEqJW8CsKIjKPVKoTQtokXRixXgoaKBbBS1TbSEIJIq0LZD9ma1SWueyVPpS2DW04VNz05eFhn/X/8n7dvVFOGwlq/eoaA+2zPsivvUPRCrtqe5eodgltOFrknDiY4huDBe8a4/UyJa3bkKMcyFpFSRKEi7xhctT2LbQgsQ8bla1VTkHwwj+dmqUagNlVB+rODmhpJkv2QBLHOfWQKyGwWgvg6YqNH9Nasxf135lqvo5qv20S/VS271K12IZpVNuPf29mUTceHdAYxdInwzfH+dmCdhmqLcmfCJWoJhS3dECdYNQey+pb2jp+fKQWuqd+H2vFBFLFcGXzhFgF/+b7PsfspD+XuaplPlkuciAJcIbif5fL4VAq3KeCrgPSXv8B4WEFkc/Xta1kLZW2DtGXE90FiBwjggbtyZG2DlKXXY2U/ZK7oM5N3cAxBxY84tFjlxEqyLWFJwa5xFymg6oVcuneS5UDxn69/JwDP+b3n4C4v0PZ4EqGAL1zxWL79hBewVPLYs3iES6dtlq9+MMfni+wYd3nMf7yFzKf/q+PYbo+2Nnbud/xmVk5/j/krnsz/HJynGkTs/87XuxyVjOwPv8PcUEe0wjGNesWs9cSgFbLWe4Y1BOQTCKGlBMXU1nbUfBiDo9s3oLbtFf/xYz76By/kxC3fSThY8sw3f4yZHfvrm0wp6jbVeqJGgp5IWfX3VyDYmnWwpKAaJxa3z/nhKu2w+ZJPumkt+OVXPJiHZRze+dOSM1N6WyTBCOCGJ8LFBxVP+J+I/DL86rvewsfaCMLt6vCDrml2jrlszW3cmnQjPK5SCLKuScULUUpywWSaH55oEO2bibWuJan6Ud/3937b823+tM5WCyHYnrPZnrNZqYZ899hKx95DvavvuL5jkyHjsaj0HCmAMddiRy6llRyThr7S8YBhkgZrfVSLR2gy1mDNHjbJY2DE/tkdE6lhj9xwbFZzbYQRRtjcODRf4ntHl7pWelos6+oFi+Wg/s3clnMYd6wW8u5iJeDIsseeMZvpjM1SJeB00ed0cQGA8ZRJpFSi8n2gupNgogE/bmGktCpowo2Mp604QVP/VrOjatU5TEMMrcBei1kWH/gQMt8ezOZXgOfq+WPPuMs98zqRzDYE22I75854G1GFL958EkMK9m3JMDPmMpa2EIZRJwc3Y2vWphIqmk3nIAo5Evd3pKgnqc5k7UShsMWqT6GNJG6I/v48x5SsVEPOFHWf+lGEFKJj/VCb111TEqlGAlNliAqSUgw+363G/C37Ee9+y99y+I7b6JcyW0Hx5pVFHnrVJex++W/AO9/WfWevSvF+l8F17yLz4IdimZKw6X6rgSJly45qteZ9rqKaz8Py4Mma9q+/GkOCH+iEJilkb3+g0p7SIK7C3I6sbaDep0nKw9hXxTf9PZN/+fdUg4iyHxIEimoQ0lwxaa7kc8FkirTZGLgpWxLGFRsi1SBuJ9mPfqgSK9X1E4XS8cbkfjm6UNFq0qIzIt5+xrQlyactXMuo+3ZG5OARRhhhvTAiCI8wwggtONtOn8e+7++GPub+r34RW2+8lSOLJZr5jSU/xDIEecekHESJ5UMrfsRUk5qCbQidrVoOSMdB7pU+zvbpjIUbKozY41wzXoUQLJb9uoFYIxz3KttSg1KqpXTK0SW4z7Z8vSxOewbZPQtlTFHm8pl2J24DQdiZHbkloxeEYRSxVPXXVEb8fEVtgbgRinNS6ICNLjuyfi+TfsZ68ZKytOrrelRUXm2gLVSQMlcf1G9ex1SDCDfOZPUTsqwHRU1pRMCqx/VqAm2uJTGk6KsSPiwcQ7It59RLJG5UuUt9bsm4a9UztbO2gUI7YbLW+ijpVHw1sEPmbCG1ydpztmAag5d51+Tp7mFNIVb/nfvJo9L1h22sXvmvHc0lrxbLARnbqCdLgSZot5OKy3604UQ7gWClGuCHEdMZG1AUqmHHd3u24HHnKpSUzyZO77iQLcfvGmjfuuZANruRTTpr2DnmMOGa9fFUc3xePJ3CtSS2IdkzrsnDl25J95xftfpY5++DJnKdWPFiR3DTV0V0fmNqzn4FTZ801SB5C0HOltimrBNZa6Wnu0Efq/eorkJR8HyFFOBYkooXDUV+WK3qazfcd0duE5ODN+8sN+6aBOuQKHmm6A9s2yUpx1+xdZiqOG3YaJ/FOp1/tXN62pI9FTuHwZi7OrevjEL2WzavtHonCtasxOzPPYGjH/9Sx/bVYNBKA1lbk4jLfoghYMwx2JGzWY79LylLcuGk20EQtqRg74TL4cUKd893V2H9+ts/xqGFVltk7P3v4bLvfZ5CJLgrt50bpy/mWzuubuxw4wkAlq+8hB8B/GgW0PPkA17zer7y3N9i+Vvf5tnX/d5AifK1fnzk+/8/rn/4k/TGo3f2OSr5HBy5E3ZfNNSxUFNmXX9yMGzAl3LAtclaXTXDJIgNcqln/Pl7++6zJW1x7Z48EfDJWweje9cU3UATGSpB2HfeLDXZbNUgRIpGRbhx1+xQBu5RlKYnzDYG70Vjiq9cKrn/9yJyK+DbcPBCwc2XCwJLcOsBuGevwUveGzI5J1l56zPJ/fpH6se3+6b8WHzBTWDlTKRM9oxnSNuSyYzNZp6zu2EibXGoHOCYAqUUl23JAVoJ3JCCHVldNjpUijvmil3P45iCkq8IlYorAGkoVKyApm3ydgKw05bId+u1j+eyb352qHvIXnN/XEvWCSN+2FD+c0zJJVM5lGokzIj4/7U/LYXCkvqZd0PK0n7aKD5frYpZfY22ATClVm0cBnnX7FBd3AzQiZxrU+8fYYQRfnJQ8UN+eHyZxXJndbNLt2RxTMnJlSoLFY+FcsBk2iJlSvKO1fEN9KOIbxxZ4mTBq4s51eaFybSFF0Ydvs1mBFH30jeR0oTSQeJIrmVQDTuv056QVEuyavZzjQ+wHktbknQcj4kirdi/8hf/SObxD+prd9b6+MN/+E+ATtbfO5kijBS2Ibn9TKN6iiHgliOLek4MFXfMFrhjtgDxNZ7+gF0ca6sOdtvpEhdMpBhztU0ZRlFiAqZrSuZKPicLHuOuyWTaxjUkfqQ4vtzp351IWXWl525o9jV4oeLHp1bIOyZ7xtOJJN3as3TjOL8fKl0tZABYxuAiMqsVKnjndf/YlxxcQwh8pLjMq3uRg5vxil/G+vYPqdK5fq/6EXNlnehX4yxsSbtYr3wN/p+9frDzZ3NYT3k6kVI4MeHYlL37QQjR0w+4bzxD4T0D3l8TMl/9AvNhhBcmC2kJYP9UBqudTasYqvqFZQrCIQWPoj72UhDH+S+cTHPnfOPdbI797hh3cSxJ7c3X67GRHTbCCCOsH0YE4RFGGKEFhoSzGd8eVD24eX+pFKcKrYuKCyfTuFKihC4JFqmIQ4ulemCtphg7kW5V3fVChRcvIgcNwrWXWWvHdEZfw5Bi4EBKkmF6fKnMjrzO/Lz1TKHj90DBLadXmE47lPyArG2StgwMKagEIUcSyvjevVgib5vMl/0Wx/9PIsp+hG0K/GD1dAUhNMm8ZsB7gS6D58Sl4TYCZT/S5ObVRmKaUA0ibEOsqixgvR1DerwN0TneK4FW6a4pmK8GegG/ev0+KaBQHZ7k2+97sFrsm0hhyrNXxG8iZRGqCMcwGHOs+juxnsTkiq/J4NU1vHPriUhtjnacdShByjQoDygDHsbZ+cnxttWPDz9STU7YzjBf4//rX5u/tfdWmKv8Hg+CYlvSVPvf643xlNkS+K+VmkvZsv7dbLaRJlJmvey4ELC8zkkXG4H//sO38aJXPBEYzFn/kdd1L+19trHWN+miqXSiZEYQKbbH5aLXOsaE0AkNMm6tEJqMK4R2+ksB/3Xbae6eLw9E9Nk/leLgXO9y3A/bO1YnQ/ykQgJCxqptIi63FylEvEaUAiyzU31kEKy32PPsSpXJVGagyi5nH5s4gWY9u+scdf1mfOIdOI8/Jdtf+DNDH2NUW4PEgyrDridyrtlJEEh4Dttydt/5AJLb/4P7PYG3OffteVySuXrHqSJ/8V+6lCzWTn4+uWnJ56v9o1SCdBr5zncMXcEAYOKd17HwhuES9Mdck7mi33GtybpaWlND4v6q+Rf2Tzo8cGeOxYpf/067bWpKEW0KSkohBYynrBaC/UTKYrES1AmCLR+BJsLgWsbcXGkQ353AN0ysBIJIL0RtxJRCocDv/sr9OHVrq5/Pygge+pJf4orHvKbpivCYiyZImZKiF5K2B/cRhKo1UcExBDM5u56AvlQJSFlGvUJS1jawTUkUKcZiRb+lis8Sfp1A2px0IND+nUddME49rUqhidpKe2dqiuhRVCOgaiGDtCWZydp4QcRtv3Y/LjsueMCPIky/kVC+/6DiyZ+BLz9U8NWHSsouXP88g1e+NeAZty3yP8332mYLKAVzTb4aQwq2ZTWxZaEcMJX22TmeQ2wwGXOjPoNSCiQNQq1eJ4uOChxC9bbXwkj7sG8+udJ1n4mUVRfIqCGIFI/fP8nJQpWSH3H61X/Ipc/97MDfJftlr0AI+voTG2r4cU+qzj4NI4Vl9PZNVvxm38/ZmZz8SH/zgkh1FVdwLVknLimlFf42K1Yz74wwwgg/eTiyUOZ7x5bqCd/Nvr5x18QxJEEIU2mHLRmHI8slplI2edfsqDwYhBHfPrbEjrzDSjXkjjNlDCG4fGuaahANlIzphxH00D4Zcy0qA4hotCc21TBINaVyEGLK3kI7liETY0yHPvy/7H3WYxOV+pvP9t+/+VdY23ayO2ejgEI15GTBY8w1efIlE3gh3HiiwKn5IrNdKgEq4L++e5Sn3b+VJLxrzCFjCUqBjykkd80XMQ3BVNoijCtpemGIKSWV2Je7WAlYrGhBrqzTSUOaTHcnB1+xNYeMY/wKhRdFLJV9TqxUcQzBBZOZvgnPNWJxytLzcL8KklJQTx4aBKtZc9x5x60Ul5cG3j8AKkNeaPHaa8h852b8KKIahFrFWgrOlH1ONpG6q0GEISXyyT9N9Yc/JPefOumu6zxvO6Q+9AlAJ3SZUv+vn3hUP1+dY0kKQ95jbSm4Ug3J2gZ+Apnlosk0tmFgSCh4AV4Y4YcRWzMO7XfZfA/NisG2IRLHWTmOb1Z6jJdBEvJl0zflfjvH2DGmSf1SipbkOK3U3Pd0I4wwwghDYUQQHmGEEVpQs8fGXvhClt7bX8Vi8PN2GkXWGvxe5SCsO6cV2mATQtbNOykkO/Iu82UdzFip6lLaKxV/6Az+YbEawmASGWGu7LMUExa7Gdt+qDixosnS7Qqm0wkLreVKQNUPW0qW9sNM1mEm27vkXj8lAR04EASbLJzrBapFRdSNB6VSKi59ogmnIladMw3thFcoTCnjQEqn5kQ1UKQsgR+ur5IwrK/qqVbQWP3xZX94grFpCMKEBVRtsb5WOZ/VHh2pwTKXzxrOMhHSEJKZTKOU4UZdvRIoLENgCHHOFcyrgRpYKWA9IWg4qJRSCCkGdkLZpu672gPqRtByLT0f1lRyFDpr3jIEYaS4ZDrDfNnnyFJ/csSP4mDhfbclKNavYaBUg4ivHx68jNWecZcLJ110qPne4xmRAlzToOSHKKW4384choBvH+0epN2skGg1q7LfXcGjmyrgQjkg55iU/bCu5LR/Kh3/2kkYr/3dWZSrE91+VXGUUyQEmmsQzRerXbNp+H3l37/Ew3/hkY39u1z3f17wOxT27Wc9UJid5d9/9+fwSitI0+YRv/p6Lv+p4clca8FSOWDM3dgkFgVxGWHVtrXxrzsHIHiNMDhStsQLdJUK7chv6vvY5x7BplHfP76sg1b33ZbFiKtIVIOobr+3o99aRfX6uwvbsdf3pVn1boT1xWp7dfQ0BoN1anao/dvflzHXZHkViZe9MJ4y69daSLAxpKCDwAadr61jiJ4qk63Hdu43yKFJ7WjGfW752kDXb8eD/uOf+Nbzf5vxanFVYzlYWa7RNQfav5nQ0YzxlH6+9a5o6xPTkGQcGQc4aypK8TWFaPkYN7sERfy7QvuOmr+ftQCqSrheC2FwwI5RaEU50xCg9EG7xlLccaa70moN//qX/86LX/fMwS4U48i/f6b+73de90t893NfZPIih8n9E3iFkBM3lijPB/hFxRff/G6+88HredHbbgLgKZduwQ+DeoL/IBXK6mjrq2qoCEJVt8ctKaj6oVbFCyIKXgheiBANv2az7d7N6pZ15nbtP02sbQRZ29DnbuxA1jaYK/lse+rDuV8kMBNuy4kv/YivKfIrETc8UeLZcNsByYEft+7b/m4GkWpRzHMMwbbsWP3vneNpZEIJ7PVE/1XKxqPf9YNI9fVh19QQkzCVtpiK/y2+eSNc2zuBAoAnPBnrZb/Z+3s6xEfOkGJdKkoMqjA4jGlXCaKeAhJe0Kp854WKdPKu5xyRGhFURhhhhO4II8UPji11VOdYKAdsyVjMZF2Uav0eRgp259NESidyNAvRlLyQT95xmtk2NdtDixVmsvbA36PTRY+CFxKEir3j6Q7hiaxtcHKA80ipbYlQ6aqymnipq0r2s82qgUqM0zaj6HVZO2WzHPrUN5n6qz8i+4XPtPhFBSAuv5LZv30HnK5SLHotPrK94y6TaatOZHzQ7hxfU4qnjKc4MV8iiCKWKwGHmo6JFPznd47ytPvv5HRcqeDa3XnCSHFooZGcHwaKatC4n+mM3SGUJYDd42lMIZlKOZSDkDPFKqFSLPWwLUypYyaR0tUMDCTjKYuFss+B6dzQ1ZAEim5L00gpKnUi7eB24bDhSwHcffuPcYWgNAQh9jmZ3HAXiiKUUhxdKncVB7MMiSUFH77xJEIKnvDq38e78BIm3v1W5MpyqwkmBP7V92f5//41qew4M1JhS4MgjLCMTtK7isV4QqXww4j5SsiWtNO1Eu5afYtpW69h2tf3jmWA0sIVdzWp9PqRYibjtnwH/FDVCfzNcWs/Tm5MbHegcNoSX5uR1DftmEzZPPHSLGUvIJ+yAIFhiDoXwRDa7hq5FEcYYYSNwIggPMIII7SgZl/v/vM/Y+m97x0uQ/zXXtX1J0PozMDJlIkfKk4XvfqCb5hr1ELV7Q7MmYyDF4bacEPhmgbHlyt1VeCc01lKezOh0GUhuVpyqW0IlqtBosKrbcq60TvI+dOW0dWIr6GXQVyDaW4G93gnyn5Ud9y391Vtu1L632Go6mVg/D6dUo6zntezROxqFHv7wZCsSe3YCxsk635P15SiZ8nwYTJ1NwIzOXfTEIQXKz5Trn2vJJb4ocJH6XKSYbRhatuDtSUaePyuB1KWJFKtivVS6XcIGvNhjcwL1IPrQKym0GipawkqvsKQWjXIlIIgjFocLKYU/HC2QcRNmQYzORuv34e9DTfOLrN7LKXVpuNDz+boPLxY4fCiTojJ2gYP3JU9yy1YX+RdkyBSfP7OBR6wK48RKyiNOQaWIfqqG2wWOKbANQ1MQzJf9PqWBe/lB6342in737cNVjZ5s+DO6z7NI697PRf86Jsdv5XSOb71rv/m6MLaiaw3ffrf+fLb/6RlWxiW+cJbfp8vvOX32XLxVTz7rz8w0LnWqup4bLnCmJtZ20nWiOFv4fz9XqwZsXPZMkVLgkUQK8RLoZNHBlEFPtuKoP1wfNnj+PJ8/e894259rjjXePQFY/13SkDONakOkHA6kTLZketOI7lnoUgxISi0no/Qecc/svWD/9I4t2FoIlw22/fYM6Vqh9J4TSk8CVnHqO8vpSDVFBUe7O0WLJYDbj6lA0QqVsNsZnAlpSPUzr0tZ3NipbvCaHsbtmYttmU7y3sOAsOQ3DHbIIFOZSx25p16U394olEGVgqwDclEyuJkodG+5iTXK7eldYJZQqtrW9cjqTVlSVxTslwNB/pWlIeoaFTz5UxnkiXAIpU8DhwJj7lQv4vHln0Wyz73mclwvx1ZDs6VmSu1+oj02l8HNle8kImUWSeuAkzcdwcHLpnp2dasbYDV6W6vPYIrv3dPz+O7YfzEEX0fT38uEzd+e+hZ7VuP/Dn2+BE7c07M32w9Q3up3G5E51q53m4oeuHQVQTaPUUdHOANmHtui6t0Xb41hykFB0/3JwcDkM0SCYlUUd9noIBIiPo38Y1vv4bcdosHvWwGaQqkIQj9iEufPsHC3VVu/OAcxVM+xZMh17/iPvzyP/2I+2zPYgvB8eUyd86XydqSp12qKZmHFyvcODtgu5vaVEMtmO62vVbr3d/tfAsnDpob//kfGL7Xtx9tH666SXH3PsWtl0q++mDJpT9utVn6NbkaKu6cr3DRpItrSnIDlPteKzbSZIqUTtrqB4k4a7aRFJD+3i0UX/ky+MqXOncwDPj8N8gMYCMMSq8W0Ndffa6hSSjJ99Ix9jebod2ETVmwY4QRRtgU8IKIm04sd5CDazhd9NmWSyV+4pq/LbVqlcuVgM/fPd9CDs7YBg/alWfY2dUPFX5c+SFSqoMg7JqDJb6rSFCN7d8gUlSDkHoW9SDt6PMRDaJGQqQhBNMZB9uQmgitBOof/rHhixewVPGphqFONAlC9k9JFsoe23IOGVMwW/QxDcGEK1Hoddrn7lygHChSUcj3jywBcPWuMXI7TG45sVLnBSjgszee4DVPugRFoxpFt/jJeMpMrKK7b1KTg0HPhRnLxM1LjhfKdOMH5x2zvi41ZaMK6amVKoouC74e8MKIpapPyjSQNBIQI6VYqHicKlQxpeDiyawmY9JMyNQbzJgQvpZKdwpwHXeoY7YbBtuM4YUZVr7zTUp7L0/8LWVJbj5Z5NCiVhPOxqT30pN/luKTf5bLzhzC/9/PoMplylu3M//kZ1AWelyuFD2m0w6VuKptbUyfLJZRSvMDDCk40mZzTro2PR+cYQxV0rrmwtkznuLwYhkpdIKyEA2fwc0nV7hqW2eFuPmST7EasiPvkjKNlkoVhtTPPmUJFIKKH3XlPDjm2pIMd4y7OJYEBFZK+4yk0IJ698JQ8AgjjLAJMSIIjzDCCHUo1book1ddRfTDHw58fOZXX971NyEE8yW/o/SLZznYfv8yLs3wt26r/3s8ZSIQHF0u17M1t2Rsxl2LtG3gx8ELP1RMpEyWKwFDJhluOCZS5rqX+s65JkGoWGlKjzSELtXYj7zTjm7dZRmajKbYPEpiq0VX9a8B9umHkh9hSvqWvBsEg5QtGhZCCKRQa1YSFnSWYWlWFk7ZqytHfTZgxqqq/dSeziZOrlQpVAOm0jY5u0ctrPMYFT/ClAJDqHP2XQ6VDnIPc3nbEERqdUQKP4piRcwGIpVcWrPl/F2miIqvVZC9MKrPd51o3VYOQu5ZJVnxyFKZyZRdP+e5emMKXshKNSLnbKyC6UZhImUSKUiZkmt351u+l64p+dHJ4tDk4B+fKnH51o3VG8rGdpVAqwEYMamwvYLBauFHCj8KedIlk3z2jvlNZ6/1wpde8QYSwuAA7F8HcbLPvfWPufV/P9Rzn9N3/JB3/OIDeen7v933fMMmCLTj8q1ZzkbS16lCuX6ViZTNmVKVHfkURqwwOBwGOGLzmAHrAtsQZGyTtGUQhBC2JZloJG3bGAyqzLYaOIZg97i7qkou5yv69eZGPtXcW9/I5H9+uGO7CMN6CdTDn+pMmmhGqFSTomR/mFKseb7xI8WpQneSby9MpKyBytjWkLYMGIQDlYAoUhxtKv16ZKnKD44X+hzV3bbTFRh6w2paBynDRITD93XZjzCETs5ergR915c1Uu8gY9WSkHOtnu94YlJuU4RtR95mR95mpRoylbE4slihPKS9lXcMgh7m5zX/fh07j9zOsd2X8P1feEXiPrdc/Sgu+vINQ10XYPaiKwD4zs4ruJLBE+1rdzh71UOYPbLCEy42exJ868d12cUx5XAqtj1gShhL2QRh1CI8O9/GGhh0etaEiua1s6DgBT39VT8+tTLwNdKW5GF7xzj4X1/j4qc+uGv7VNN/i1/8LlPAG/7f1Wy5OIU0W/c24kTRyf0uj3jNDr72phMsH/W4aM7gOS97HLOiYUjuFoJv/uP1bLvkACvVkB+fLGJKwZhrkrYNHENSiRebiuRKZUn3aUjBZEr3m5S6UkQt6G8bAsfUqmrtSrJZ26i/xM3Dpfkauh0GtQWtTliSFKohe978Vyihq3n0g+3DI74aceulkjPT4A9yUBtOFTy252yu2TnGRht9Gy+PoDixUqZWXKiW8LUl62C3yY0ZEvZPSZLvuU1VXNX/X+smNHGh9l1vr7ICejxYhiT1tnd2bXXMc2oc2z5YavsJVVfy88KI5apf949kbZOs3VCVV1BPrq7BiOeMWtLH6RWvrjbZ/lw0IUMipWClaYzrrlAdY1sp6gnerT+0VrqpbRdNCeEd/SEUSjXanrKMzbscUfStHjjCCCP85KFQCTi6WCVnWYy5PhU/rBNpm3HT7HJyZbo2lP2IhYrP3bHfOu8YXLt7jIsm0hhScPtcYdWJjaFSHYSYQWNBw0UOOtFVIbgJzeJWu8ZSBGEtGahxbdMQ3Hp6ucNnbEvFjrzLmaJHbtzlqQe2cM9ihS0ZW1cQXKwyk3M4sVzlxLwmcO6bSnPjsSUiBZdvz3H7yUbfTqQtnRTY1NdlP2IiZaFQ9ba6pqSYsC7YkrFxExR5i37AcqV1fwnk4xh/zjFIWTL2OTeIm3Px/Hzr6WUunc4PPAaCWPkYIOeYTGcsoghOlzxKsS9i55gLQjTWrkrbETfOxiTqHWNMZKwOgnCzXdQLAl3p8aoHXDtU/HVcSO0XH3LeNb70RXb/5v06iLoZ2+CG2+ZafO1K6WeYcwyytkk4fQXhxZdyV0LcKO+aHUJGkWpUojCFTnRux8lChZlsqmN7Ddm/+TsKv/Pqge9PAMYLf5mca2GIMqFqVFa2DUHeNfFCXbUzqeptNYy4e6GEY0oumsjU70mphpJ5Ja6aaxhA4quresZtgi4fupxrMJ11QAgMocdZ7Z5G9tUII4xwNjEiCI8wwghdMfbeD7LwxMfA7PG++2a+d8uqrvH+P3//wOX5aibX/L9+gmlXk2uWyn7dqJ1KW5T8kNNFj9NFD0uC35RZuVAOmEoPT5DdSKQtmVi2cS0YT2lycM0wnkzrBUwQqZ73PuaaLeV5aooyToJh75gCL+itHDNCA0EEchUBjHY45vorCLcqjcZKJKtoqnbKS4y41FLZj7Sj3RAYQlAaRJWO9VFJTtmSIBxsfBoSfnxKl8/xQjXw4v5soOiFlP0yB6YNpFgHhtkmRBCpxjiJy4P7Z1lVWEoGSvpP2RIV6TKRoN9HIVSr+pagPvYso1UxWwDR+uaCAI32nC3cfGqZfRMpXNM8p86LbkG28wElLyTjmPU5udlhVQki9k+luM+2DCA4U/LrzzgII/xQUfJDzpT8FmfUeij/9UPRCzX5wJTMl3z8DQp7R+rcJQ1sBNZ6K4XZ2b7k4BqCSpEP//7zeNZf/usar9obn79rgWt2ZNmSsTbUFjzdZLfWFP4XyitIAZMpi5+9fAs3nyxwuuizuA5E9XUw1TYNMraBUoqFss+e8e7O+LOJjezenWMuB+fWrtR9PqHshQQdhkVjYvbaM5LWCeN/8QeMfel/2q7Wib1PupZDfUjCI6wPfun+O/jyPQvr9g4c+af3svdXf3Hg/ZvTDApeBERMpy3CeD4fSm2pXGDyXddhnJpFpdIsP+2ZePe5Bts0+hO0+3xkBDoAmrUld82XhyYH187Rjq0/+jZPvu4PW36bvusWrvrix1HAJ171NywcuKr+25nLrhn6ugA3/tyv1P9dSudIl1YGPraUbpSnLflRCyE8Caakgwxaw3p+y8dTVoviWJ3A13aRQUkZzUHqGsZcc6CE9kGu4JgSO7bLD3/qm8y89Dm4h+9OPLa6Yw+z7/4QlHze9O5HMH6ByfZTkKpEVG3B7AyETWRhKQXChse/aIafe7vHbmlitOk8S6V4yCtfSDWT4wNvjJM0lPbzJfn6ZrI27RZA0pKh/d1yDE20rqlFa0J42EJ6zbsGfjhY9YFmla2ca7J4+23sfunzdTB8iAE1NQeT84rFMfj2eIhsas8gp8m7JvcsVPjpK1an7r6ZsFIJEon0M1k3LiXeSmt1jLWHAGvvZ7dl53qIItSgq+noc3lRyKHFMjnbYLkaMu6abMu5GD18ZGlb4tqNe77z0HzXym5py+DCyQxKkUhyakfKXs19dh+hlkF9PTUlV5MEeXZQG1Uj/soII4xQQ8kLObpQRaHd6nvG0kgpuGl2KXGuuGl2mftuz3cIZ7Rja8bhqQemCZXigvF0C4k3bRksV1fn+/HDCKdNkXXQyo1r9bkGER1xgl7Qoip6njMNQdHzUQoOnS6RtISRUrJvwuHIYoWiH/GFu+d5/lXbOFP2cS3J4aUKKctg/3QKr+yRWapQqDYSOn98YoXLtmU5eLqIHyqK1QCZECSrrQ/0msrAjyKWKq1zYsqSzJc8Fso+M1mHnGMiEYQq4shSZ0WDiYzFXGy/r1QDspaFEIKUJZGiTdBHMZDxqKvnRhycayTZrlSDFjEt0DZqKsFGCiO4anueEysVtmRtFhKSVKXsH+dJW5JyEFH2I3LjUzxibJzPLS0MpD2tFNirCbxccgDVxUxpH34P2J2vcwjOFH1cU1IJIhxD4FoGlhQIqcVBvCBiqeqRtUyMeGwGUeNC+S4J1WdKPjvz6Y53yJBQDUKsxzxx6Fu0Xv3b3DS73GGTeKFeC8qYXD5f7p4cPtZEeE5ZEoUiilR93eiFmmCcVOGxuTpEUizZMESHavhkxmIsbQGaHGydn5o3I4wwwr0EI4LwCCOMUIcQrQaNKSHzyf+l+F8fg9f/fvJBF11M5kOf6HvupGwtALJZqk4ap1rq6WSqHe1vmaEaqnrZVUs2DNu5kk/WNrANXfZDSoEfG7jbcy6m1GSuzUQQ3gjFUkMKFks+0xmLxZKv1TEHUOzaN54ZaLGbsnRpjaGXxfcm1sUqsBYinWvqEjjeBhMBBWsjx9aJivFLGSmoBgrXGvzmy3GGZtdvxiDniINUdkw6rQRRR5DRlFDwAopeuKmJ7jokeO92wUcKojZCtykFlqEzd7s9HSMWxlnra1HxO8m8zZAiJue3BT8bit6dx9XGcI0gr9Bqq92CUhuL9R0/QaQ4OKfLc4fnkE2fXCr7/EA1VFT72CK1oGPGkmQSyNCXoB3jte+ubUoqQ5Tq7oesbVDwQhyjUUZvMlZMSFIjW08IBI/YN87XDy0mOr7PO6zxHt73G48fav9Tt31/bRccEN8/XuDJB6bwhygFNxR62K6RahCG94w7TKQsvnV0eU2X2z3unlcOWiOWmDCFoNqmTqHJwU1qmveG96gPaksqSwq25eyYjKSd9kGkKHoRpxPKXm5ODPaNrYaK284MV1p+PTAIObgWLtnzpGv7KgmfVazpXehx8Owsz/uLX8UIPEBwYv+V3PqGt6zlYgPh0i1pHrgrT8YyeOolWzhRqPLBm06u6lwtd7f7ovrfg874R37vz1r+jtAJ2pbUidzlIEpmFimlA3PHjjDx2y/HON3a/swXP4uyLIq/9GuoX3hha6NqUobxeZVSZGyjrkzcfi0pBH4YEqnewfkLJ1y25x0ysW9psRLUL3XnqQIqnivCUHHlv76Jy776yZ599TP/+DrCZ/8iX3jqS/jUj05q0qU0saJgYAVg1Wb3fvBvP8yLXvHEntetHwt845//iz3xtuPLHtuyNluynUpYNeQcs57I/rHr38a//n9/2rHP2NQ0//y/N9b/dgxJ2jZaVMX6oX3N37y0GE+ZOhgdRtgDlnFdy7p+zI3LOksxsFr4yXf8m/7HwduYeP+7AVj6xZcgLj5Q91Nm3/VmnnuHxxWfACOK1VPjMfqdawTfuFZSzOqnmCnDS/8N0qaFmfBka99Wp7jCs1/383zobz449H0m5P93IOtoleluqu2miPt6wO6u3cm08kg/6lrGYFVSpJEBE4sKzxJ8/RkvY0vT+a/aniWIFKYU3DlXblGoH0+Z7J9KkbMlOcfEPQsG30abXnOlzkp8uaay3BuBSMEGuLATIZro6ALIWIb+DlRDFisB23O6kpLqouCWc1urcPUaaiU/xBCCYMBKF0Ip4qrQmELEqoOaVCKEIIiGq9Dmh9pnqhSYg7yg5xBqxBAeYYQRYiilOLFYbZnvav79K2fy3Djb6Z+RUse2UpbRt2rahRPpxLl0z3ga0N/b2udIADefXO7rP/SiTp/8oH7t8jr4W1OmgT9AlRYpoOQHTKRsCl7A0bly1zjZRMpCCq22X6gGKBoVE246uQJKV5pwTIMbT8RkWdvi4Vds439/2CoKdmS+TM4xmS/5PPKSLTruQrJNUwkiso5J0YuYzljMF31qvWtJQVkBSnFsuVJvp22IFkEvvd2sk4NBxxxCFWEKA4UeU16g2JFzKQUBe8cyBH3sfUPC3YvFlnWOBFK2UY/TCGrEVbeFJF6LoQsBUSS4cDKDaUiWK512l+xRL8I2dMJPexzo5//pPXz5uT9LOICleCoKhyZwKeDQ/R+JVagwnjJb1mTtNqJrCmwpWranbR1nqIaKathQia7FHgpeSMY2mEiZGELWCddpS3ZdN+h1eVPMzxAslj0OLerk5itn8hjv/w/CX/y5ge7R+f/ewm2nCvX7TcJk2uLHp1uTaWuxP1OKenWq6ZSqP/+KP7jxVvYjXFNgSMlUzmFupVqvEC0FMbm/8c2YzlmxbarH3oBL2xFGGGGEDcOIIDzCCCO0oNkfZpkSF+BpP6v/BxQLBTh6mMyllwO6PEbFj0hZkij2FK14ugxMbZmmlOLESveA7Of/+b95/C8/EcPT+3TEjOL/Brk8x9/Xm4xccwJ7MVlh3DVJxdluppRIAZdvzVENQhbLPnNln4xlUFxHUs0w2Ajn7VzRJ2MbnClqwrQfB1QyttmizjIsUpbUCiGrJbgpQWoAomitRF5z16y3au7ZRI2kWl0Di9GP1JqIeKYEQ0qUUkS0VfFrOq2i+wLFMgUVbxXEcIb3HxtSdKa0rgJeqOrnMZq8RlLorPVNzAuuI9zActybGUGk6sRfIbRzyZACP4yIlHb2hFEt03/tfRSECtcUsdpOKyxDDP0Nqjnu/FA1qaz+ZD7LjUAmJh+In/DoVKnJdpHrNL5yji4NO1/ySVkSL4jq1Re0wrda98oH7fDCCFPCY/dP1svF/tetcxt6zc0MtQrp8et/7nJe9B8/7vq7XCeC/Wdun+MJF0/Vy1mfCxhS8q2ji333u2Q6w8VTab59dLlOLgbt7L7/zhyWBKVEIoGg/nYpNbDCzEZiOmNrm14pbEsw5WglZ4XCNiSLTRVWflJwcK5MytTJOUeWWoM3htAEcKWslme/WbHW8qUbiZ3PfCwwmG1f36dQgGx2zdcOY/InEBPgz913p4ZtP/w6T3z7/23rD8XOgzex8xcfReikOPrxL2zY9U8XPOZKPmOORW+u3vCMnsN/+3b2vuZlfY9UQGQYqEcnJ7P4kU7kNqVO4i54Id8+stwSLJ26+zae/sZXQrdr+T7Zd7yJU9//EV/6pd8d6j6accl0ip15B1PCHT3UlvdOuPqyYYQf0qK2e9PhRQ7Fx+4+9GOe3YccXFupGB96Pyenr6ZibwfgD3/5jfz1O39roP4F+PJfv7fjt+uv+3SdJNzehubVx/XXfRqaSsw+Yt84eceg6odMpLRyUjWI8MOovoapJYc9++odXdu2NHeGZ1+9g5f8zh/z/Jf9BmU/ZKGs7cUx10wMEtcS+kteWFeXnorVpkteiBcqptIWhWrQEtDu50uZTFsI1lZZpdbe6UyrumzNj2BI0V15ef8BFl7/1/U/p1Ladp5+7a+Rvum7jBkCK+GTde13FFffGPKeFxjMTQue/OmIdJlEcnANtTGVKSz1/b7GuUStOVc9phgjdsMI6FBYaz7XeNriTNEfuKKLKBaYfuLDY4KATn5fbQa9CGHsdIR85C+0bJ9MNUJckztzCQIF+nozOZfhPVRDtpGNX/nnHIuJlIkUgoofUfRDXFNSy4+Koo2pjNXLPbWerqvm4WFJg73jGebL2r4zpU6irwQRrtWsI63V/PKOSdppDXn28huMp4YjVivRUIWTJlRbfEW6Qlbt3aiNhTBS9epZUgitLBfWSMV6jV17xzYzIgXnUT7lCCOMsIEoeVFX0moYwe6xFEeWWu3tCyfTSCHxAtVXHEaRrMzpxtU12+ecMddirkv1ixqqfoQOdjddR2nxhX5ry5oIyGqS0RxDYJmSlCWxDKv+rVeqEffxAh3vcGLxhyNLFYp+2DNpLecYLFX8eh+FoSIjFF+6eZbprM3JfZMcOniKz3//CL/xvAfVj7MNgWsK7rsrX5+fglAhheCWWU2qvOFHs1y9d1zb9bG9sVBqRDjG3Eac+UzRx4kVhYFEca5IKU4WfITQdnsYRZT9sCWhq4alasBUqjHbhCrCkLA7QYW2HYbUc28pPm/OMdmSsSn6ASfb+AlSaPGgI4tlnejTtJ5uJjJPpizGU5ZOvFQKpfS4zDlmon3Rqzrqwx71WP50207+cPYY1S7WogAyQvDmyS0gxFAreQVgmvhRZzzdCyIet3+C/zm4AMC1u8c6+tNvEx9IqsZsSMHRJp+bTpoShAkE/FqbfjS7zOVb85wqVjlZaPXXnVgps+3Sy6gMQBI23/RPnLnqQag+73p719bWprVnE0SKC6fS2IZel/SK+8kuscextEXK1mvpqZyDWqmScQzSjq7SXJkrkU9ZjKWsuoEnhe6vzW7vjTDCCPd+jAjCI4wwQgtU078K1YAw0uUODCkRKNyJPH7+cixD1gmLrqkdkkI0Svp99o75ga53yXSaHTmLo5/4Ms5/f5SZN/9VYpsO//HfwEMelXCG3q7XohfihRETrnbyazUZwUTKZsy12JnX3u9KTBj2wmhdShQPio2yBSOlnYsFL2QqYzNX9Cj7Xkfm4KBwzLWXihs0WONaoiVj73y3l4OY3Lta53xSGZNhUMtYXQtBGSDwVAvZedD7kWL4a3vh+hPC6/4bBct+cN4QZ2rBzp9kKNVK9oZGCacoVPVElTVdA6jEDkpT6oBPzenXzRGw2ZBM7hf3SvX2ohdyeMlj75gzcqrEUOiM/ZRlxARbrahUqAZ9VbZTliRtm/hhFCss6BesNu/PlfyYrBE2iIlnAV4Y4YWapL8lY3E6oaSgktYlAAEAAElEQVTbMLjPtiyVIOLgmdJZfaPPxRtYBP7l5y7n+V1Iwuv13oQKbrh9jqddOlVXSzgbMIR2Snuh6lDP7YbJlMW4a3HRZIaTxSofilU2s7bBHXNlThX6j2vbEDxsz9g5N06bCdllP2qz0c89abIbNrrbyl3s5Rpx0jIE+6dSFL2wZ/LqucZmntbMYqH/Tm3Y9fync/Rjn1/ztZvJhqtWsl/Hzr3ocx/jER9+W9fTKsColjdURXmuHPDJ2+a4bEuFXWMOX7p7YU3na7F4r7yaY7/zenb+3RsS1YRr2yLD4Mh/f63vuXXyX4hEE1S/cs8iRT+CMORpb3xVx/nb2wVw4bc/x6m9l3DrTz1jiLtqnOOS6XTXuerAdIrxlFaczNjGQHPaaz/2ly3t63VtBTznba/j6696HwCl9DTffMUfc+11f9KzfwG++JxXYuzdCwmk5uuv+zS7vv4ZHvu+v2vZroDPv/A1HH5wJ3H72HKVL8/rc+Udg6xjkLYMDs6VuWDC5aKpFILe5OBmvPvv/oSpXRfwoMc8oX4f7b6fmd94Ie7B2+p/TwJRNkvpA59AiHEWS1pNeTpjoVSDoFzDIK9ut0phtW+HIeDCqQyWkH2TfWYybuJ20xCcKS31bctC2Wfiu18lc9P3gGRyMIAZgizDi/4l5P+9UHLJHQpzALOmNqZe8Ee/yNGPfylWWFMEIdw5X0ahv5NjjiZkR5HSwglxpbVaPyu0opqeJ7XysxBa7azWQylTknYMVioBKVMSoYkgkEwIVQqOLFfr7XzoLz4GgqCu9LeWRCsjhDNTEE09WqsQ1/qj/ZSi/v86cMFUZtXXHxRnw/b3w6ietOmakpxjUA0jDi+VWCgHXLUtP5QP0pTEiZndSRLtqn/tEBushjaZcphKOzF5qrMhUsLeqXRy23qMu8VyQNFbIW0Z7J/K4PmKnq9hHyZ0pLqLXOhn0urbqg0YK35X5dmSaV4FzmEBqRFGGGGTQCnF6YLPXKG7f8406CAHb8na2DJO9kQLdfQj3BpSELX93i2ZNuOYfQnC5S6J7XnHHCj5dMw168n29e85elqQMZFTKUWoNOHWi5PvtBprSKHa5fquWU+ebLahk+aunGPgmJKiF7LSdr7jC2W+dOtpAM4UPO48ukg+5/K0h13UMi/lTcHHv3205djJWAW4huc/eE+9LbVYsm0I8q5JxQ87Yn3VIMI1k1VkpzNWi+04X/KRQp8vSajldNFjwrEIQpgrV5ld0XZl2Q/Znku1zEWG0CJnNdOvJm60f1LbezJOTEsaNznH1EmSCZObbGKnz5d95hPG1v6pNI7RSrFye8TQTSkoBwEHPvttrnvUVbxpZZFbfA+JIEBhCUGoFA9xXF6Vm2CXabJ88QHyd9w2MEn4+Gv+qP7vohdx44kCeddg15jDeMokUpCKBXLSlmwZb83PqYake2lvR8oyWa725huECm4+tUzW6aSkLVd8ptMO7L8E9Y0bCb/6JczXvRpiBePIMFh89R8w/uxn6QfejxxMqy2eb0pcbb4foWp2bW/jpuxHHbHHHeMuTlyRRAr9/2bGWtePu6fS1HpL+7DPXiWOEUYYYYR+GBGERxhhhDrafVxRRKwW18gek0Iv3oIoIghbS/jVjk8PWK6tlllYW+xUn/oMDj+1NdijMxp1GbEk9PMt+5Ei65j1a5hSO9xqxqApBUXfJ2ObuKaBQJAtVTm6XOl12nVDGEVknbi/VI3A3ECzsEatf+s93hRJmi8HnFiu1tV3TSk5MJ1CAV4QMu4axHU3GXdNtudd7KbSZYLuasaasHv2FHybS8kR/8ttUyYRnD+qwlLoRWW4SpLvIFnV3VBbHPvrVKO9RtI0pcA2BxsXqyGXh1Et8K+QUiuCDFPmpRcEMF/avKSQZkgBWzPOplAr3Myo+NGq35F2eKGqn6fmqGzPnt6MMKXgh7P9g9X3Jtw9X6bkhVy2Nb2pyVRnEyU/alLk03aTIQUZO1YwEmBJiYiVi3QAUpcAL/ch/c7FisJnixzcDD9U3Hdbhq8fXu4ozzYMBLAzZ7E1M8Z3j62sSWVuGJwrNdBl4CPPvJJnfuRHHb+t57yya8ypq3NsBCbTmrBV+xbXFK7DUDGd0b89+cAU3z++wmwP0mfNESsFnFip1lXyhlGU9UJNGDjX1eDMkVd5aDiG5NBChR15m0u3pLl8qyaQnCkF/PDE8KTXDcUmJ18MO/pkpXTO27AR6EUObt++66cfwdFPfHnN13RNbZu2m7y3nC5yy+lijyP791ioFJNtCkHB45/Kocc/lZlfey7u3Xe1lhBGcOQt18P+A8PdBDoB6GH7xjClIP0Pf41ADfxMH/Dxd6+KIHzhhEMYdb/O/ul0fS5LWbIvQThjG5rsOOD1BY25I2UZlP2QuQc8gvf87Uf5xd9/LrZf6Xj1fcviX//oPWR3zJDp4g8DOPqQJ3D9Q57AZNpqURkzk2TX2tocKkXaMrgzJh87piQMFW//+zcMeGcab/ytF/OhH+gyxRE6OO6HEe4H38eWd70l8dqyUCD79J+iuu9CjLd/QM/J3ZLB+nR0P7PGMSQXTWbWwf4Z8AOtIPcHv63b1mdXCdgePO5zEWrI5hnVBhHXEALDpD6/AUw1Bfr9aogkJO8aGFK2vOt516yXYa4ptMs4GetU0ScXREihFd2a7yipN0JFfTy98BVPQqpo3ezOEzOwmJdctOv38JouPszZnQ2u6buRqcUPmZ5iX7WKI2EhDHnav36G7fv3UwkihtG50ETt2HdsCKTUvr3AV4D2+SeJHJiGxO+iDgegIu1DMWI71fOj3kTbAWBIPbZrPhqluj9voz7Ohh9vfqhYCnVibf82D/6Ue6kItsOQYlOTg4GY/DZSvhthhJ9UFKsB3z26xOmCx0zOYdy1MBKyQ8IQtudcTqzo+GrWNtiSaq3QEAEi0jGmbjFJQ4imqnzxcV0+qakB5netPNxZFWoibeFHUVPClRYjabdLzxR9rtqWB+DYcrnFl9StesYgSMp9bRZnyNiGFoMIIparQQcxGHT898u3t1ZeO75Y4Xj87wdeajKWzfLjk0W+eussOddgpdI4z57JNPPFRlzh+q8d5jVPvLiF0eiFWhhsMm1RaPOjWYagkkCyzrtmon0/mbao+BFTaclyNWjhGEykTI6tlFmphi1P/0xJqyXvzGuScI20GfkRVltcyJCt46FGTm9Gr+c1iFhMpEApbeuESgtELXtaqKwWShLoBKaThVbl3PznfsBbX/yznDp6hG97FUpKkReChzoppgwDBRy6/j9gZifpZzwas1zuShKub7/4AOHjnlbfXg0ilqoBS9WgpcpWxjZI25oYvyNv4oWxmnMbyXcyZXUQo9vHedY2+pKDm/ur5IVkLEkQKXKuSdELqQQRt51p8sld8UAu+voPcAxBwQ85vKjXFcuLjaSDiZRF0Qu6xgJXPD12bKkJyNCpxHzPQomtWYdx106ssieByZwFCrKuRRRp8r8pRRyv1slzhtT3VvuMCWr/FnHliJHdNMIII2w+jAjCI4wwQh3Na7EwbNAZUpZWCxYCqoHqq2Z6z2L3co3N2Dfhknd6L968UMX7rI54MOaaZGwDUxI7KTsXnQfn1j9oOSiCCHwvXHUWvlKKcqj41uHl1sw4x+CCyRSGIJG0sXtc0pw0axsClaCCYAjWjZg5KJIczu1EVGtA1ahzYXvX2qbLzSit3LgGmQV3CIdyM+zYqe+tEzm4GUGkBn4GFT8iZUvK3nD3oDOuIQp1GaH1IoAaUgy8cD0X0ItGgQT2TaYTHW0jdMKPFK4p15Xw54eKlCWJVNRXgfVc41wREM81h+lkwWN7zmYiNVrSdPsih5FqI7msnsh5LhNzUpZBzjFWTRBOxQ5IhMA24CF7cnz/RHFVVRWGx7nzBJ5SEYVCgWyP8tNrRTWIMHoEddaCrG0klFRsjOHmQMN9t2XYN+HyjcPLySeLHbOfu2uOH50ssnvM4dhydXgTTQyq3bH+MASMpzpL/J0vWM/S08PCCyN+8yF78KOIlWrAXKlKpAR3buA6cLUjZViC2LA4X4MTtiFIWzpYZghBdQDlmHYMMwYnUiY/e/kMoLANyY2zKxyMSW/P+r3nAoM9XwEY3nDJNZYhedxFEyD0ez9fDpjO2HhBiCEEliE52aR6vjVrE8ZBbQGsVCMd5I7vt5YQ0QuGEF2/LSff9oH6v9tJqKuFTsJTbLnhYwMfIwDT95i6+zbmLjjABZMp7p5P9j0943W/QHZ5nioQEq8rd+zla39xPUIo8nGS9v7pFFszdktAe77kd117Xrlvkh1bfS7/0DuHud06XnD4C9z2hGcjEeQzFstBho++9RNIKVDFEjO3fo9Tl90P0joBLicEj7pgvGWObU8or+GOuXJLAotCMVdqtXOm0lYLmaHoRRycK7N/KsXBuTJjKROF4uPveevQ9zY7O8u2bdvia4P9yY/WycFJ70ot7O7ccxdbXv48Zt/2ry2/512t6lUNor4fxjBS5BwjkTCRsiTTafusJt1OxFWABr2iHcBFd+n/DorVEFHH0ybzJV0txDEE1VCRsYw6ObiGtG3wlbuXWKoGZOIKJQtln0fsG+s6h+z8hSdhLC0AcCGwnBtH0knCWS18E47sgFPV/8dF7Tc/4DXuuyPP5kgxGQ5Py6R5hOvyJjdN6GghCEvA8Zc9my9Uyuz5k7/h2p95JkoJEJrY27xikhJOLGtiiSklJV+TiyxDcMlUjvaR5IeqTvJv/gzWSBFdbf5YnKBRiQlMwap8KQqFZWjBEikVKVurA7bP4y0JD6EiCCPMWAyj4of4QaRVHQcw+B1TJ9A2wzYEUmpCWp2kjPYT1VqaskSTkIdWKVxNFThTDvPVOHeIVDKZbYQRRrj3ohpE3Dy7wqH5Un1emF3Ryq478g4zGYdmt6MCptM2XqjJf3vG0on2QKggZQkCr/Wb6VqSKFKJFSm7xYZss79g1ZhrdqzRpQBU5zrI7kI41nOgYGc+jR8VWakGRGrwWGVSmxba/JLTGU1+nM5YlP2IohfW/brd5uG7TxU5vlTBMgSTGZu8a5KyDAwpuGhLhpxr4RiC++3Ics2O/USR4sezBY6cKXL4TJG7mpJNH3vFDBnHpBwqXCk6ZqYoYVGdtY2O+7ANkfgMx1MN0nDBC3FMwUTKxJSid8IgWs1XodgzlqmbLwr9XJL6ptbWYWflJMJoO5arPncltPUoFe6zLU81iDi0WOoaqzrxno8B8Ojr/o6x//0kRhjib5nh0JveA6lUfb9jH/0CW175EtK335x4HwqYf+ozka/9P6gmm35H3ua+2zIcX/Yo+yFFP9KVQyKFIQVTaQcpBK6h1a4rgUIKLf5mmxJTCibTFtVAE4iTTCnblDS//I4hybl6LIQJBxgSEAIvjHo+50oQIoSsJxm0Y6Gs1+sTqc73pxJEfPHuxY72Oqbksi1pJlwTYv/IiZUqp4oeB6ayHd+orGuScxuJDYYhaP/K1C5RIwLX9+16ZyOMMMIImwOjaPoII4xQR7PRVG0rXdsLy1Wf/7z1NEppY7wwgIrYTNZmJmP1dX1ZhliT4kDJC6kEIUeXKqQtg4umMi2O9IXKuVUSDeMFZHu5nEHgR4rjyx53JQTFlqshn79znkdfOD7QuQwpcKVW720ptbGR8hcxTCnq6hVSCsLzQK2zF3qVRhoWw6hNNMOQmmQanksmRgwFlL1oYPKmQDuCQqWIgpqSa3IJwdUgVAmlcQSY8SBMWryeLQj0++CHip3jKawROXhgKKUdAIMQIIZB2Y9GwY9NjpMFj4lUrJI/wr0WfhixI+9wskcZw34Yc4265JFSYG1yhab1gAK+/KKH8OSP3NSyfT3v/HTRxzQktqHn06KnCWxrtUEUDLSmqMEPFSlT8sgLxvnesWVSlsHuMZfJtIlrSr5/fJmbZhtBjyNLVS6aStVV7gbBmGueS34wY6skB597a1A7y28500vhdGNxz0KF6793jEu3ZNmSsdiVT6NQPHDXGF++Z7FeTWU9+2q1w2Sjh9fZHg+qiz07bDsyCUHHjYQlJZm4MpJrCi6YSPH1w1pVKbs8P/T5tv/6Cyj88/t1tZz4Ia9Ugi79oNVpUDolImsbdQJrpBR+FJJzGmGncptak2MKnKawlGPKNSnwt7Zs9SNoKlaEX6k21H5EEAw95i/52g18/YIDlLzO8fCYv3kVO+6+BQlEQpCJA32VKELOHuGBL3okt176QI7+9l8DmrjWHriOFGRsEy+BhO6HCi+CLXffNmSrNbbefhM/fvzPx6kuzWV1FVgud9/nofrPtuTapOB6O0pe2FcVP23JFgUpgKm0STEeH988vMyYu7pQwW/99EP45I1HsAyJIWDiH/8K6P1Nq5OE7z5ITvmsCCtuk57vRPzvXqSLdEx+WCwHZCwDx5J1EnvKkuwbS9dVns4W5r/yFYZNzZLh6hNLemE6owPbCkXFj8jYujS1FIJUGGkFL8fAMmSdRFFqGn9FP6LoR4ntCoKI3U95CDIhyX9sZXHdpEZDodVpv/nTH+ECYDJt1/3ESoEpG32n9M1iCEXabh3L23OtpX83Aus9xz4/n+X145NYQmC19eWFls12w+SWP/8j/ue2W7nq119X/80LInKOhRSaRDFI6fRmVAKtxmdLbdMvVXwOzpWJgF35FHnXIujjeKkRpmYLmtyxLedg9XoX49sT8bCpxOefyjlxiXA9By53sQUi4Mh8pSXBwzV1afEkMlM7HEPixGXKa3uX/QhC3TTHFEih1eCKXQUQNHnYMTW5aFB/bs7V7+D5gEiNiC8jjHBvx5HFCl++e4EwitiasSl6QSI5MG0ZjDkWXthIqKgJDUUKduZSsSpv57GOGX/XI1UXLoqU9un3iwElEUGlgOm0hSklliGxDMFi2afgBWzLuRhSkDbNejWmUKlY3Ce5QlM327schKRMkyBS7Mrrqg1SwnzZYzLdShKMYvGgMNLJMxnb6PDntPvNxlNmTMiMEueQtN2Z2AWwbzrDWMpkqRxwcrnKyeWGvf+wi6dwHW0T1a4mpOB0JcTNulyec0kZAhVGoGA5VCwWfY4VtS3+gF15MrbEMQRZx+xIFnUtyU0nS2zLWRg0KpalLKNDpTfnGBTbhHuqgUKpEMc0WGn6TQi9DsjaZkxkNXS8EF3tMYganR3VDEAUpiHrNspsocLCKhKLB6ko081qV8CNs12EC9ownbGZev0fY/7fPwHANODYicaxNZvm9Jvera/4hc+y841/jAhDItPEe9t7Ob37IgAsP2yJi4WRYipt1dfghhSYEj59+wIZ28CWAtOULJQ9TsXJx5HSftgsMN92/3qNGFdyU3rsCqXtp2oYMZ4y9Xq06JO2JNKULT7dybTFSjXo26+mFJwuVvsKRXmhwisHTKUtFst+477jb0nOMVCq4VeuBhE/iKuHXTiZYteYjQTGXIsLt2b0/UeKhaLPciUgn25dR5gCmvO/pBglTI0wwgjnL0YE4RFGGKGO5nXV0hDBt5Rp8NiLprj1dJEfnRysROvJgseOvM2YY/R0gPuhYqUadFWq6WeD+ZEiaxpUCSn5ITfNLrMt67A16yAQpAbILt1orMaO9ELFVw8t9dynGiq+d7zAI/aNY8Zqst3UfhoLzlbD25Ra/WAjObtCNJFqB2T2RapZsaE7zjb3x5SrU8dIgmOujhzsmIJIDRZEXCtqi6B+MR/LGNwxrtDBjOahUPGjripOjinwgsFD1e0BdNAlczaDGp8Rk+UVcHixHC/i7Zg4fO6/VecDDCkI15MhvMkhhOJM0Uskvp8dnPu+PrHiMZW22JIxidRgWf4jnH/wQsW4a7IlbXF6Fd/rsq8dgQ/elSeIFCteuC4KiINAoDrKGCaVNeyG7NadFE4dW/X1S2Lj39MbbmuUMrxw0mXf+MYTMLrBEPDwfeN1O6hTRbuBpMBKL1y9I0OnfsrmxybIF9MJY+dQhRx0AuW3jnZfP1kStmYdUpYOZMyunJtE0k3wuLoiEgKp1FBvwZE3vydx+1n4NK0JzZ9oITuTHob9Elh33t6hbiqFDvplbLPlfOY6R5oG+W4N+jjW8g0s+yElP6qTP1cLq6KVv1OWATTO87i/+HW2H7lDq2S2zbFuTErbKg3Urd9m8f/+MuGfvZs9Y07iHNGNp1VbZpy86HJ23nVT8k49cPTS+w21/xVbMwMEpzUGeYaVIOpQ2p1IWXV1bOhdbrcXAt+rH+t+7lO4DK6yrYDxX3w68qP/g2XIuBSs3j5X8plKW0ykrMa1oqh+D1LAXKxAVfRDLphMsyXtEChF3jYYIteoPwbo5LxjEH3/W8Of2gBfgD3gq6EGao6ol6euwTEkRa9xkYxtUKiGtFcZ2TPhcNNsYyyYUvDZm07Wy29LIfjV1/1Mb6XkNa7L6iQWBf/61k8zEf+9WPGbyPUaJ9rm7K1Zmyu2plubs8EOwvXWV3h2Ls3r8pOkepBqU1JyuW3jf/hfoIkgXPDC/ol2fRpbU3qXEu6ab1RcuHuhxJUz+R4+2caJjy5VOBWPwa1ZZ2Bb0GlSblyp+GzNp+rnrXghRTR5B6FwzVbHZLPohB4nCpnw7C+eysTziD61lN1tVQWxKnB/X7RC4QeawNQLtikwhGAiY+FY50+IdpObbyOMMMIaUKgG3HDbGb545wIKeMiePF4Yda26NJWxkHEyqBfqzEZTCqxYOTZUel0jIlW3oW1TryYGVVoXxNUWJUh00kdSFdQghJlsqmVbKmd2zM1J6rtJLemWWFOoBqRMs2PbQqmKaRiUvDDxGq4pKXoBtiEwpMCSAtcyCCOFmzF05Y+ijyEEiz0qXxoxaVYBQRjhRzoBTIju8fzbZle4au9E60alyaPzJZ9AwUqgEAi2Zm0KTZVqFPDto8tkbIPLt6Y77i1tSb5+eJn5csAdZ/TcfMl0mt1jTseaYjwmMLf3TtqSKGghB0+mLRZLPmeK+n8TKZPtuRSOITvi1LrCbsCRxUq9fWnLYGfeJR1XwdgIrEd6+ZhjYjbZeRLBNTvy3DVfQqHFMvKxrRJGCvcpT+Hoox9f3z9jG3UFXz/U5N1af7UnV4eRrnCggG05m2IQsD2Vwg8NLt2SJYzJ7AoVE2tbxRRMKeLqNCHjrsli/HwtKTrW96U4uXAqY7FQ8pkYIvbqWhI/0PadH0aMpSzCuJrtQsnvoA/MlXxcU5I1BUuVkD1jDmnLqDtCLUPqSmJexHePrgBw13yZu+bLPHzfGPfbNU5tNSOlYCrnMJVrKAdLoX2FQoChGkmJo/DTCCOMcD7j/Fl9jjDCCBuKKGpaDClFEKq6smszhNDlJ5uRsiT5lIkQOjMrUlqhoGZUeqHCEDojrnkREUSQcXR5k9op68QepY1B0A46KRRZW1LomqXfCaUU5UCXBC0HEUGo21LwI04UqqAUY01BhnOFpMzLfrANwcP2jvUlCe8dd1mpBvXFecY2KHphz0CNLokhMKWgEkSkbakJp75WkPDD/ssfIfSiIYp0xp5qOm/zGNBlfIZfTIURlBNUStoxCIl4PWEZkmCAdg2CaBWEP1MO7mBZK1oc530uqRV/Gjt1I/vWfvMTHClSdkrDOqbu75QtW1RuemEjSqCvB3KOSckLaPYBzZV8FssBhoSZnKMVTYyR6dYLXqjWlai/2VENI2YL1f47bhg2hzfkRyeLCGDfZIq9Y2e3hPAIZxdr+YKX/YgvH1o66/PAyYUyfrHKeGwHn1goM1/0yDgmOyZS2IbAMrX6XRhpwoU0YNHXJOJfeef/8A8/c9mqr68UnDmjE/gmMzZZ16Ra2ThydLjOKqyrQVKSVJK5ebrosz3vcKJJXeXKj7+H+3/6A43jhOA//uidFLbtPqfk4DF3+PXCCMPBj+BY01jYPe5gG5LZFW9ggt69HUv/79+YePEvDLRvnby2/8C6XPtsz+0nCx6fvP00hxbK/Nq1uzckAUkndSqqQeu7PbHOPoqkpk9l9DWUgvmSTxipWK3V5kxJB4UtQ5B3GmsPBdiGZDLdvxKU1yPDOFI66We1SvNLW3clbp85cjuKTpXNZjhSMgNsPXw7t60UgEn9Qxjg3vh9jLnTKMuCK6+Eqe36mJjEZTaxhm98xku432f/fei2H3zsM5r+6j+mbj5VZFt+gsmUWVdGbYZCz7vLXdWoW5FzTPywdbxVg4i8aw6dNNOO5rvZ+nd/OvTxcmGhKzlZQUtwP2MZdWXcdgLsSjVgPGUh0QSM9cx2H6SPhRCUnvZspj70L0OdW0TgOYMThAGWH/m4oa4Bev3YDMsQuKZoIdxahuDuhVZSgBSCG481FM3+/k0v7k0OXiMUOinlvX/0Hti2rfW3AR5EUrtOLJXZPZFZj+YlYj3t30KhwOPcDPYAc48rJFfZDp949H150BduTNxHioYoiBSaeLOWJZFSqoNMW/O/3nxqpcsxQ12h/q9iNWKxWKUSqynahiBtJSnjd79A+xx+5Uwepdo+D6voD0Ejqad2BT1fNHZo/lWg13cCTZ7ZOeFgbwLhkmEQqXUTBx9hhBE2CW649QxfuWeBxTZC4dcPL3P51jQzWTvxuMTqApEiiNcVKUvqf0ttnyulhopbOaasE411HtNg6VHNGGTvMOpUJVaKxLlmseKzJaMT4qWAparP4UVtMwlf2+O1ag0VPyRtGwSRqvdtLVGvjE5gbrlfQ/RV/O9WUce2DA7MZLktQbzr+4eWeMCFky1K9VEEQaiTXmr3uGvM4fhycoyh6IV8++gKu/IOV+/IUvTCujDTRNpiPm5X2Y/44YkCY67Zoa4aF8hpQcY28MOoJU5YU4Rt7vmFcsBCWdsXWzM2WzIOppRUw5ATK5WONUTJD7ljrshEenVxtH42y0TaTFSe7ocx16RQDZjOOEykLFzTQEUKy5R1HoUAvEBRjis8N9tb7dcseqGunBP/faboszVjI0QnIVspxU2zRXbkba7ZkeXYcoX5sk8QKdKWgWtKLCkxhWTF81vOC63ics3rYj9SieRfhU7inEiZQyWguoakUG2cr9kP6hiCCddkpRq2+H0rQYQRiyvNleIKRbGhkrENliqKrCW5ansWQ+j3bNw1uWbnGG5bkpaOYutjDaHj7TWbR4jNEgkbYYQRRlgbRiyTEUYYAWh17PhR1Ic80fmbZQhmMg4zGWeo6wYq4rbTyarDF0ymSZsmrhlwcK7EdMYamCAcxeTgbx3pXs7DNgT7JlLszCcvcrvBMQRWXMNODuARN4WklgjYzYm2GhUdcwDua6T0wjzvmMxkHEJiFbUebdZZvnoxn7JaiZe1xVrK0jfervRag2tJyvFxUugsWS+MEChcU9b7oBpEnGMxsXVF2Y9IWZJKEK1Zrc0QEmkmPCqhM3pb6Te6ZF6/En/nCuWYXG5KvYoqe5rUW257n11LO36S+q4Sn4O4TIzdpLBc8aOORev5gpxjYBoCP1CJ71KoFGGoy3ttzzk4qZHp1g+blAM+wgZDoZ1G+8aGm9NHOL+wWjJRDeciSUQguOlYpz26XAk4sVTpetzDLp7CTTnMLRS59g038M3XP3lV108JwaE5rfpV+++l23Nk8qleh60ahxarLFVCHr5vbFORKrfnbK2uAXXj6gfHV/CCCFMKLv7P93Htf7+v4zihFM96w6+ggEMf+l/IDVs0fH3gb1Ibb1Ccj60/sqiDYxLYkbN1+fVYL+TIYvd3F2KVo83KnFjDwxD79hNkspjFQs8lcO0Sh//8Tau/WPs5z8Eg8sKImazNyaJHZcjy7O1QYvDE1fVKs0hbRj0JsR01xdXW68JSxSNj6ypPkeoM9nWr7DSdsfBC1VW1fTxlYgpdnt2PVKxYCvmZ7ZgnTwwVaLv6hn/l6hv+lcC0uOcv/g2yWZ712z+HRHQoByfBkZJrHZdPvvgRHPnsjVzwnx8g/4kPIsJALygFiDDEvOgSFl/0cipXP0D3Tpvjoq5uOkCba2THzq39IdDB3m4wYiXqS9/+Vzzhy5+ut0cBNz/0yXzn+a+u7xtGqq72VEPBC6mucXwDXHzVgxp/hMORjfsqr7b9WPRDil3afGixTM6xMIeoYjQ4WhXUk4abUgpzx/Z478GDyKe2wLIbceCQ7HtMrTsW/8+fD7hnd1T8iM/csYBrSnbkHc6UfPwoolBt7bt2EVtL9RYeWAuUUkRS8t63fmrgY/Z++b+58Adf4dgl13D7E38+kcx0y8kC2/OpFlLDemG91YOfuWOGv8xPdgh0dIOBICl14qKpDI6UKKUo+AFLFV1q3ZKypQx1LyS1wDQkpmwQjyu+IlJqVWSZQbBQanxTvFD7q5tJz/3Q3o0/OrnMfWfyCNFILldKk9m6+bkn0ham1Gp2tW+LEPp/XhPhLVkMQSvfzeQdLFOiFCyVPOxBHPubEMN820YYYYTNj/89ONfVZjq0UGHfhJv4e6aH+rmiQWxMWToW6A8parMa8ZzVYjJl1RXva8g4Jo6pMKRgS8bGkvo+glgp+fhKidNNNrpr6VhV0Qvr66F2grFtSNqrNjRfL4w6E3B6wTEFtiExpeDKPeNsm9B+vppyvjAkBT/kM3csdD1HTVAK9Py+N+/gBRFHE8jCR5ernFip8rRLp3EtydHlKmlTsG/C5Z4F7SO5ZkeugxyctgwKCcrItetmbAPH0DF0KURP++RU0eNU0es5Z9fPXw2ZTFt1MrNCz/eLZb+7MnaX9W4zBCLRR+eYkoxtdByfcwxSpsG2nItSDfvFD3WsvPmZK2D/dIabZlv9yClLdhBtTSmwDdEyzlaqAeXYuHFisa/prM1KNeChe/NAY21pCC3cNrvSeNbNwk5pWxOHlWpN1gyHEMhaKAe4pmDMjZOgRSNJuR2uKTnTo++roaIat30qbTFf9ut+oqIXMp3R5PJmzYilSsB0xuZM0WMyjquOudo3HITN5Gu9rt6sbrwRRhhhhPXEiGUywggjdGBYAdReaqC9YEo4NF/u+vvscpULJ01c09QZb5WArG30L5MGnCr63HKq1HMfL1TcfqbE7WdKTKRMrtmRYzKllWxWKkHXxUVmaMXfwYItWceoB8rWC34UAQZLlYCSHzKWsliu+EyluxOomjN5uxFxyr7O2HVMQRSoulNTCIgi1UL8jFTDIRDW23TvRdmPMCVYtUXqKm+30lMCtfFcUpY85yWbB0GtPGENZS/CtXSgwg+1YmIQ9iZW6/20o6D5niNFIuE4CbXs2xYkLPymM1bvHVrQ3mjR9lvr35HSJYP8KBoqg3ajgi3nOwxBS2Cla6CoOVre/pNobFZR6y5SnPuy6N1wrpMCNtuIXIrn7nWuzD3CJsK93IRowbfumifrxIp+Vopr//IL/Oj3H01xyPM8CJPDbds2ejpZrAR87/gKB6bT/XfugvUmA2pVjNYg/LhrcrLg8+CPvoNLP/sRoPd3bd+zH8uhD/8vZM8+Sfh8d1Kfz82PgONNpcsvnOxPrtfqampVJOHN3lfHPvK/7HzWYzELjSTfJBPr2O+8Hu5/7Vlt23rj6JIOlH3oppPsn2p8z4YhhtZw5PV/NfjO6/T92zXmYhsGx8PO9c9UxkokCfsR+D38Ld3u+UzRRwBbszZRrIIURYqSH5J1zBb/St5tuKJP//Yfsf13XzHQ/bT3uxX4vPh1z9TkWzUcrTpScLljc8nvv5z0sUNIz+vYx73lJra+/reZf+mrKTzt5/S1mzrgw6/9B579xlf3JUrV2vWR333bEC1soN84c//9X5h+95sT97/yazdw5ddu4PPPfSWHHvHUxPm/UA3YlndbEh8MyyH0h6tS8ufv+WhTo8W6TuTzZb+FvNALtiGQop8/ZXVor6aVdIs1NbjQdjC8wfowFDB1GrwPfh6e9dieY6p2ydN//ZYOu6b5a5x1TAqe9qHWNpu1il6isbcfKh5xwXj95DvzDrfPlcnaqn6Pem2teOI1OwF46B/96kD3tRqoWFXh2Hs+xiO3jjXuqdYpSidRCAEcuYt9L30esump7L3lezz04+9CESepNM1DXhhxZLHEBVPrb8et96r8cmniKTWQgjCAJQT7LYuxnIMQuipJEEVYUpdjF0KQd2zyzvok054pVphIOaRMSRQv0I6vVFoIJs3YkrEwhCBYp+9CpOKqdQOeb2vGYSbrtDwnX0VIpd8h24jFDGK/j2vKjm9IxjGxTMlKE0EmUpocbMmOHJIOTGdtrFgtWAjF+JACK5sJkdr49eQII4xwdhBG8PNXbWeh5PPJW093JNUX/Yhjyw1iXQ06obD/hyBlSWbGXIQQeH7ISiUYuGrFOuSvDYysY9YJwqYUmtTcRIq0pa6ge3ihjBeEJHGdHbN/jK5Xn9XizXnHJFKamGxIfcRC2a+vofxQ4YURfqgVmat+wN2LVe5Z9qjbTXHfbc9YLPWJl+UdbWPr6jYRd8Xx+omUyZaMzfHlSoto18P3jbNcDViugi0FOddiIqWvbJuSnCNbVLJkTLrsSeT1Qopxo50BE7lso39/e6FKjON3S3oFXRkgbesqb0ac+C2oJYDrtUDJC3GaYlE5x8A2JHMln2oQ1cXAco5WkF6phlr1NozYO55uMRwrQVRXy64hirRScjNpPXPDR5n+u79ExLZPZf8Blv7pX/jkbfM8aE+eqZRJ2Y9abJ1q3Omniz4pU7YoVAtgS8ah4AesNHESco5ZTxIueSGlNQo/mAJSltmSeDzmmmzN2pwqtK7B07Yx8Bqu1r+mlPX31A9VYix+ruiRtg1KtcrKsRLw4YUy+yYz9eTB893vOsIII4wwKEYE4RFGGKEDgzrYVrt/DX4cMOqGQEWUgoC0aTKVslksl0hVCux61hMxqg2nY4RWdmrGXmDf7ku44fffzCCYSlstCjlS1DLwZH1BlorVTTeqvK9jSAoDkolBG7EzWZuThc5gFsCVMxl25GzStkE1iMjYJssVn7IfUQ0izHYJkDYkOUTbUSMTJ5Vy/klGEEHgRbiWdsxvJM6lWqplCKIoWfl2EFRaSL5aUaNfaCVSyd+ccIBGCNFlrLYdmrGNnipN5wprVc68t2I91KHOF6J9OwoJinA/6bhzvsLFU+7mVW4cYU0Iz6KCyLmGHyoW2mzO7ml1yUgDh//80x3bz8Z0MpW2+u/UA2djxjPiyPYg5OCahbLnWY/l8Ke+ueFta0bKkqMkoU2C/VMpDs71fhPvuy3Lw/dNYEuBQiu43L3QO3G1GeeDtXfsw/8LhQK7f+EJyDBsaXPx8vty5u/fue7XXI83YG192zj66z/zyzz04+8a7qiHPGrwS63T6377GZ1SUldPb8JaA31JsE1R902Um9Zc7SSA5r+9q+5P9eJLce64tS/JtufvSmH18W80Iy0lJgL3yD3IoPu6T3pVJt/xDwQ7dlG534Na5s/iBZdx05Oey30+9YGB1BSv/uwH+Oov/5/634M+ZqOt5HEzMh9skIPbz9dM3H/MB97E54HKU57RcY68a1FuGw/Pe9eXee8LH9Sxbzc4qdaEoHBsHHOxu1LZIJACxl0LIQVCqYGDxWmrc7yvF4b5hhx9/yfZ24fsWzunVHDiHe+HbJZDn/ome57UPblCAYff8l7Yf6AnIzFtq5ZqYKaEbl0o2v5xquD1rLoxfuSurr+tBUopQkDlxkjt3knUPC5F839Fz7Ffw94/eCVLj34ii7/3hvq2ygas+ddbPRjAlYPQrlphC8Fk6uyQTnOuhVKtyoi92pu1rXWv5FIrYT/IWdO2QZJWQA3NoicCmMha2mfe9AIbPWxx05B9xTCclm/T+W3Xj6p2jTDC+QmlGgqqCrjjdJFbTxf5xqHFnoJM423kYMfQiro1v6tSCoVCtlVMMaVgOk5cAbAtgynLIO0YLJX8vuqvAIZk1eI7w6BG9jSEtkFXqiFWE1H1+EqF4yu9zzGIzyYYwKe5nKC0C7BYTtiuFEeWvbp6bzsyHclknUjbBjvzDseaFIMlkLUNbj9TwpKCy7ZmuGe+RKTANVvFwhxDsGc8xf6pDF+6Z4Ev3b2EIeBpl05hmxIhBKe7xK+7tada7t1P0xlrTbG7+ZLPdMaiGkQt5FigrgKdBMcQddJtbe3ZaEvjmLn4/O1tXKoEHFkqsSufbplLvSBqya80JSxV9bFjf/enjH/2vzrakjp4G6nHPZDn2C4f+IePI4HHXjyBZQial98K+PydC9xnW4btWRs/vnDKkpwuVlrGOQxGkl0oB8xkbfKOiR9p0vShhU4/WdbRto8hBZNpCy/Qfbst7zKRtqkGy8R5iEgJYymLYjVkKmNTqPr1xMtu0M8uZCpjsVjy9fctYT+FJnE/7IIpHLNzrSgYic2MMMIIP1kYEYRHGGGEDgxLaAyi4VWEBXB0udzTqeSHirvnS0yndXnAXU9/BIbvtZwDGuTgds3OmSO386JXPJHr3/gfkMkkXmPcNblmR6d6RI2EGEQNI3QzlUkGnbV48XSqgyBsCHjEBeMItJPTixeP5bjvJlImUSKtuhWrJX6P0EAQKhxT1pUVNoKAeC6fUxjpEoK2XJ/ynUrpb4mxivN5oeoZ9AL9jUhS7G1f+KYsuened4Djy1WKXsiWjKPLWrGJy1ePsKHw4rlpvVXn7w1YLPsg+qs7jnB+4ifdNHngX36Bg//nMcwN2BEPt2yWErZXvJDLJ1xdtljpoHZN1UPESv16jtEli0WsmiGFaOwTb6+htr+MpRimMxY524j3EVpnI252r9Y339qRpWEp0cPjGX/wfGCwMH1tH/v0SbwtMxvWpnZs1sSl8wm7xxyunEleDybBMSV7xjoVsL91dKkvQfiR+yYAUbdJ05bJNTvG2JJzGgmaouU/XTGsmbdSDphvK42a9L5tz61unqyEQcNGzuc4ccPXgTpfq/GOoNWRau1vvg/V9B1wjNaO6EaHUiiKno+bVIpb6FVtGEe6ddA7WeNXAo+5cLzvfR5eqraoIArgxHKFjK3t72NPfw7Rx9+F7LhCe7s15l/wMqSgHvxqaX77WBCCQjWk5EfcOFto+SYKkXy92i6S2re6oXRUU9ZtJlEpBVfvyLYEjEWXQdl8nKB3YnDWNqn2INt2w+ybr2fbb74I545bO5qQ/CQ722iuYk0UAuYA7ZVeFfsdb+Frf/RW/EiRahqHx57xfO7zqQ/0PL7Whxd/94vMXXwFd//UM0ApDmxJs3fcbdpJ8W/fOMLJlrEnuPXuOa0eJhrvVT5l8tK/+VXyhYX64f2u/5gPvIn/euzTW37blXfYO+GyVAnqyednSj6X7Jji6ic8kx985iN9+wfgUzceapmnjr3nY+z92SFI8cDKox5f/3ftXZ9vUuqsBZh7QQrYknU2jEgyFGUzm+XQW97L3t94YeI4bv4UHPud18Pui+p/H/7UN6FQYNfznoas6jlHSYMjb39fy3694AWqJQk2iHqrpTWj+XXamXc42UEYXn+DXClFQUVUc+MUPvQZemr8zs72JQfXxv3YFz6N/ZjHYDz+SZxa8diS3RgC7Xp7ZWpki2FQ2aCFUtLntVgNmUwZLeOil28qGvJu1vtW5JA0boGoq8mtF+5NrrsRQXiEEc4/hBHccnIFBezMu3zhrgW+cs9CX9Gfy7akMdAEv6xjECmdaDhX8smMWSilWKr6HFuuMJW2mE47OIZkMmvjmEZHckUURcwuNWzdlCUJotaqk80w5caL74Ame07HFVZqIjTDVqMYpJnrKbKklOLO+SpHlhrkYAHsHNO2mx8qgkiRcwzyjknKkqQtA8eUpCzJl+9erK+d25u+Z8JtIR3PrlSJEFyyJU0lUAga1ZIsQ3BiucxFU1mu2ZHj0GKFiyZTmtwZxy2yjkHaMupxzBpJPVKKPWNpil7AiZUqJT/smZBTQ6S0XVv0woH6dDxlopRuqx8qVqoBXqiwDUkzsXfMNQeu9lkT8lko+YlVj7v58BbKAYYosz2XIlLaPij5AbYpcaRkruRxbLlC1jHI/dZLydz0PaC7rel4FV74iify3us+zVwpYMo1mEpbCAFLlbDejptmi2zdb5OxDWxDsBxX+BG09t+gr9tEysYQkloucs72CJWuNFxTvq6pUp9p8lGlbYPd42lcy+BBeye5ZXaZ7WMpZnIuSikumspydLFENQi5eIvLoflSX97JXDGZkN2MS7fm6+TgSOlqtqC5FKa8d9lpI4wwwgj9MCIIjzDCCECrm2zYRVfK6q802w4hoNrDa593TUwpKHkhS5WAbU96CDIKEw3hftte9Nqf4/rrGupp23M2+6dSKMDaRGpcqzFCZRwAbH5kkxmL7x5d5iF7xzGlLt+iVKNPCl6Ea0VMul3aAbiWHKkCrwOCCIImFYnzVaW0GyJFncybsiXlPiWL+qEeXAgVjinaAnv9dZlMIy432XREM9rfsRp5WwitEK7UxpQiXU8sVQKWKgFSwJhrkbUNsrZVX9T+JOIn7c4FcEesCHe24RiCA1tyANw4u3xO2tAP01m7pZTZTwrKvi5hNvTcPUg3tZGT2jZ1nKZGLu1NAu0f9BbxBWvnFgLuuz3H1w8nUV43L3JrVNJtR/YV/x9c91t9ScKPsl2W/uRTib9V/JCnHdi6ru3aGGwsQVgpGFs4PfRxMy96Biuf/1aygsuG4F7wPVPwyofsadmUVIF+EBXO1cALI247Uxh4f122unP7A3eNcftcqSfB6rpvHGFH3mFH3uW+27K4poEXKM6seOyY2PgElo2MnwrVXcm0E733cy1ZV98Z9BhInuPa18ODny8ZfqgoJq5rGud773Wf5kWveGL9727Ev8XHP42V572ka1M6PuXxhjBSG7puDCLVFmgbrK+sHtI6axl6s2++Hvu2HzP9N3+Mdexwy28DJXAIgVKqJ0GtGcUo4kgw+Dc8f+xuOHQ3pW2t37Gffc1zBmpjzS669t+u49ZH/kx9e9jMmAeeetV2Xdmq4PGh7xzrer4/+cvntAqqDnj9B7z+pXzqD/+pvt0xBRMpk6ytiXBFL+RMyedM0eOhL/9TzMmdfOff3tT1vKbt8PHvH2ahfT50XZSQoKK+7asT6X//z3BMQdY2Kflhx/gf5D7TltTvTtRoT42Yr3OiGv1d8xpIEZeirdm4zXYvxORsgWQVY3z/AQ596pvsfN5TsObmWtsERJkM/M/X2U4tQQsc06DshzCeQnzxm5hSq2MpAVua2tXclpRhdHRQyQuaPCMafqifR8Yx6iTspED6NdtzZGxdHloBF026HF32kEIH+SPbQXrVjuNWi1ApbvY8PnLFZbzqnz9ELk4cbydaWBJcy2D8l54BDPbeAaT/+PdIPe2nGXctpteZIDwc7XRw7PuZn8H4n88NvH8lijga+FwaZ67UVmP6myjqiTy11sa/4tBof7MN1n5P1+zI0y6Qa0haSLQzhsPWjJ1o20kh6oQfI2nObstGEUphSolqaVUnpKSjXYn7CYVhaEXgFpshPrWktU3FakCprVqTRFshYaRI2W1qe8TbugyG8bQ1XIJBE9ZzfK2njR1Fuv9HGGGEzQ+ldIxqPGUxX/L4+j3zVIOQHXmHUytVUpbBjjGH48tV5ku+Ji0Cl2/NcMGkS9ELCSLV4v9wTYlSikoYcmxZE0nnSj6Fasj9d6Txv/pljEsPYO3c2dQOxZG2ZNuaveeYglCpDrV3He/YeILw4aVSh3+n5IVDzfPlHpVya6j4UY+163AQCCKluGAyVVc/DZXimi98lNw73oyIWtvjb9/F8X94J6QnydoGl23NIIUm7465JvfbkaXoR5wuePzoZCPusHfCrSdJ3zSrfSqOIdg17nLl1gwpS+KFEbefKRApePieMVzboNLUH4VqiGvKDrtzW04n9rmmyQUTmg8QqgiiiDM9/G3N/piMbZCxDSp+lKi+PJ4yu/juFH7YSgru66lumkhr9k6otG+jlwp3M9KWwVjKxjYE1TDiyFI5kZS8cvB2JvuQg2u/SeDZr302pf/8XJ3AXwkU3zu23OJz+dzBBR64K8/2nMVEWleDMKTgVJMAWS9uiGNKcrYm/su2Vu0ZT3PzqZWW6hIAl23NohTcelqPnctnctjxOiSMFPuns2Rdi7IfcnShxB3xOMrYBrvG0uQdi+8eXezRA7oP2qsWNcOQkKpXVVJ89/A8D9w7pY8VP3EhpBFGGGGEEUF4hBFG0Ggm4gUDKgHbhlYvGSZwZQjwoogfnyowmbawpMAyNDFPxh73sh9hG7KeWTb+V6/vSg7uh9oxT/qrV/Kp33sTF0ym2Ddus75usfXBarJhpYArZrLMrlQ5HS+wxhyT0wWfO+bK3D2fTKzYP5XivttyWFITJA0pmExZRHH25r2JxDrCxsIPtWOj7EW4lsQfoDxUPxgSvnd84wlgtiFYqYZ1de0azgeVvkjBQtlnqeJz0aSBbWxcKdXNjnu7eMlSxaPo1xxVnNUbNgRcsiWLJSXVIMQxDcJIE6cumkxzaDG5hNm5RKEaxtV2FZYxpNLXeQyFVpoa1CF5vsIxz7/nud6Oxm27roa/+Dzb/89jOAosNkXhJXDAMLlvJLmnCzkYWHdFrI1CaynLZMpC+9akAE63oM6lW9It5xgURhSycyxFM4E56Ryqx299EZM7FIpKr5rIA2AzzJNamaZ1W8pMTpzbiPau13uoFDzvqu3ccPtpji1X2T3mcsFEinHXYsUL+NLdCxS8kKPLVY4uV/nW0SVecM12xhwLZ4DyniNsDgySQzzmGpjf+hHRm/8e3vduoC3p2rQ5+m83QLanDuY5w2pfiV65KWt9zbwDl3P8XR+q/73nSddumBUnga9VBk9CUdJg+tDtLLURhJ1Sn1rDTajfy5kzMD2duM/dp4sUvYBSrLZlyk5S/t+95SUIVtff247fzUWf+xh3/tTPAlANFV+5Z4nFLgHVB/38y3nQz7+cQ9//Gv/95y+DmGgwsfsSnvuPHwPgv2+b48IJl0u2pDGEoBSTAQ7f8HX2PunanvS+2p3N/tk/MJW2mCv5PVSou9/xeMqkGkSU/Ii75kvdO6DHWQeZe1Kr+I4bAtwbvoBrDh6CyTWRD9OWxDV7++eSkrWDSHGmLZmlVkK5UA3rlWhq/d6MMTdWho0T9aSAu5p8i//ye+/gxW940cD3o9ewrQT+mtJ7WSm+71U4+IJf5Zd++ZX14H7G6vRv5FytgDw5APG8HdNOyNjY2JBH9cdG2Vi/cf17efP0NA9zU9gDGDFSCPY85nE0zCoV27+qRysV6QFFDGyj81uk/27dlrZkBzEEIKShDulakspAPmeFIZoSKRIwqAiDY4p6Im3SMfr3xnWSzmkZ0Jv71b2dW0059FjZCErcep5vM6wvRhhhhP5Qcaz1+HKF206t1L9vlhTsG3fYO6ZTRYQQTKdMco5BhK5E4IVRYoXFrG0wV/Io+WHL79te+gu4h+/hePsBhsHOd/0zxasfnJjuaUq45VSBchAylbbYkU9hGwKlBN5GlYVoQ7ewbCZBGRZ0m23DwIorYerqLQrXlHHlLZ28KKWef4JQ92cQqXVTyT9T9jm23Jqw9dzffgZORdvC7daDdeIoe3/hycz/0q/hvORXmck2xAyytlEn3U6nTR5zwTjlMKJQDTk412lbV0PFciVgqeKzXBX16425JrYhqASK9ohB0tw6lbJb/ta2hSCfslnxInKOgR+pnqq+RS/EtSTL1QDHEGRdkzBSLJUDFN1j7suVsE4OTpkShN42KIIoYtw12TuewY9ClitBT6XbbTmHvGNiCD1GKoHiTMnrem+7X/o8YPA1X6a4zHyToXKy4HUkZN9nW5aMLVvUnfOuwXRGk4W9MCJUCiFgMmWxWPZb4rw5R1c3u2gy3ZGYmyReZBkCU0gi4KrtY9w5VyDnNISO0rZeHy1XfL5291yLrWkZkmNLJS6YypKxjcRvkRQwlbaRUrRU4WnHQ/dNNap5AffdOV7/9/kXZRhhhBFGWDtGBOERRhihA344mCFsGILqgERSU+pM+4WyXy8XvFj2iQClEhaaTeUD81/4dMfvw2Lb4du4aCrFrvzGlJNbD6yGlCvQi7bJlMm3jiyxY8zlZMGLDdvuC5KDc+WO8ri/2abqNcL6wrXEvVKVOYgawYJaFnQqdvivxt8hBdx88uwok94bHNpjrtWywB3h3oflapCYAb9WjLkmO/Iux5crdVXq6bTNTM7FCyOqQcSYaxKExKRgo55MFEQK1zSTS32fY8yVfL56SCcY3G9njrEByhGPMML5iMxffJ4DAO//M6bu+Bq25XDiSb8F93sk9/Q5tpcC5GbC2VPoHQ4RcHSxzHIlOC9sibOjubO5MeyI7xW0UwqedPGWju1bMjYXTqRRKE4VPb55ZIkzRa9Ocsq766smfr7jfE/gSVsGKdOA33qt/h+aiPXWbxwB4MLJFHvXoFS5Xu9sxjbYP9WqXC3Qwb1upXx7tkspptqV8ZcWMQ7ejgh8tk5Nw8UHtJ8nvpZqY4i2CkWKlgowjQsxNAlWCK08ZvQh05WjiI+VCxywBn8nhVKMyYgLJlxCBYcXW0v5DoOnX/f7/Ofr35n428Uzmbpf6AEXTJBNWXzsO8c4eLqh4mWH/qqT5xXwiA+/jehZz63/vS1nMJE29R7xszq62Oor2nvNQ3nFh2/qeu67FirctVBhZ97msq2ZeiD+0Ke+yZ6nPLROLE7C7JvfTXTgilXcUQOmFCyuMsl9rKuqWCeGJXRIAQemc6toVdM1B9gnSPAzLZUHS3pezXeAbduGToKKairMSlFVioKKmItCeP3fsucxj+eqlNmSqJ2o4KaAg7cN317g9MtfztgHPrCqY88+FAdf9gp2mhbFKEJKidnju1aOIm73PR76ln9u2S4FPZP3pSCRzJuIAR+0Wqep3TElphSYUpfHXivWg4x1tmzp2rd5s9vukYKRp2WEETYvaqrBJS/k6/fMdRUTEA2JebKOoasWAFMZi+WKSrQTHFOrpdYJe+Uye5/x6O5TRRhy7MW/BA96KJl/elfHz/cslijHSdFzJZ+5ko9jCvZNZHDOUnJ73jHxwwhTasKvIURc3UHgmDJWN1akbYPTBS+uGhpCH3PLkrBaHSbHlNiGwJQSKeN1UzyhCQFHlloJkc/5nWfiVEpdn0Ntfpn8f29jZfdueOhj67+VmsZHjfiZMiVTaatFTbgZl23NtCRiK3TlyyQyp2vKRIKnTobs3HZiuUI1jKiW9I+2IZhIW5S8sJ7wVkPKkszFNmQ1VFTjf5sSsk5vO792344lEYi+8XmjSdE6VFo1N4gUAsmB6Ry+irhrrthCFN6Wcxh3LQwhW5KUlFIUveS2TaRNpEpYI3dBrVW5v/1Tln7njwC477YMe8ZshBD4kaISROQdo8MmsmSrsnNtn7mSjyFgOmNR8bUw1Jl633a2LIkg7Ifq/2fvveMkOcr7/3dVp8kb724v3yknJESQEBgQ8CVjgsFgojDBGIzBOBB+xtjGNhnbmGSbYIIBE0wyOQoQIEQSICSddLrT5bB5J3eo+v3R07MTemZnNtztSfN5vUC3Pd3V1dXVFZ7n83webj65wCWbchgCLt8yRKIlCFApze2TeTZkbI41EN4LVZ97bB7CMiQPOGucw7Mlji1UkCIsN+UYbMkmmCy6bSTwbUMJZkpufZ173b5pHnnhppoPVeCYRq3OvQWHDzDAAAPc1TAgCA8wwABAbTMYpcVQS29ebEOEBMAeLFZSwG9P5tvUBjoZKsfTFvnK4qJ0ueoojddrYMdQdwddpJxgrmDjthJkHIPKMgmkUsCFmzLsnykzlrK4YDyNFhrHlNx6sruCiinCqOHVil4dIB5+sDYpf9fDa3MDjW2EqZj9WjpcQbgRX6pLRyo8Go1WUA1WrkDcM9ZD4/WAbUNJxlIWJ/JVjheajT+zZQ83UGwfSmKI9UfWHGDlWDK91TKwczhJxg5JEdtyKXYMLY5PSoEpJKYl21K7DXD6MJK0moxWdTXp2iJHE6oxpa1wezdVqi7P4T/AqmPNSXDPeC3TS5/VBOsMURBea6Tt5bu1uymYDHDmw1iBl0Ag2JR2ePwFG5uOl1yfIdPucNUZgoHzpI5WxRwIHYYXbEhz62S8E/V0IGFKRpMGrS9vKGEuK2uKqjkLAax9tzP88Q+SvOE6sOxwWRIEBLlhgmdew/GH/S70oZraivQyrqlojYnG6bAvKivFHt/j/fl5vj2xvedylZRcdNFutlwyQdlT3DxZ4Ns/uW1Zn0RqYa7jb0NpG7uLMeof/+NPlnHHRUS2MesTH+a2Rz6143nLETzfmLZ48sUTBEpT9gP2z4Z2qINf+RFUKmz74z9AnjwBWqMTCQ697T8Yuvhi3IpPwuicljdpGTUF0c7r2uXaspKWZGENg5F2jbSra60FREv6bSnAb2kUKUKiCdAWzG0IQco2yHcISo17gl/+/Tu519/+aVeFaGq1UkLwkXe3Z7Z4xLkjeIHuPZuagOy3vtrbuS3w9u1b1nXdsNoBWIXjx7nziivr5J9zLSv8XgBX6zYlYVdrNJo7PJf7/3Z/e/2WqKDTIZNDHHrpxUbtfpGNbyWZ6TYNJTCkIFCaheqiEmK9HrV/aHS4R9aLj6pa+r6rFJZhIgj3y62/LwVThqQXKcCywkAU19ckrTAjX6BiMlU0tL1lhMQyUVPk69aay+tToRrlYtGnZrE2sDQMMMD6hdIQLascyyCXsGLXWa1jTr4aMJ62mSq6TBe9UJ0zbdXJl9CcecAQYXaqzU+6ureK3fAjim94Pen/73VNhwsx64+qr9kzWcCSsGUozNjTr41aQJ1Yi9A10rTGVwo3UJQ9RdkPKFb9nn1RpiH6Gv+8mrBORBg1pMAxJKYhMKWo2XnD+c5TKvyvr8gmTGbLPmHTtD+4Bu5oEH/afNNPSZQLS84AdSLpP/w1c197WN0XUPEVliGa7MiOKbn2jtnYcu67LceGtEWh2qyaG5eZIm0b+Kp9TTCUMGP9hr7SbB9OctvU4p5aaZgquAQ6DNRN2ZJ8xSdQmpRlxK45fLW06IBG18mu1Q4dzDYEshaI2kiMDVRIGo/W+mHgjOQeE0NMFqtU/YDRpI1s2Je6DQ+sic8COJK0WK7FNvvdb9QJwpYh6nWzpMCyDVKWgVNTuQ60wpaSE4XFzKqGoEl1ONDxmVbjxIoCpdk5kuTAbHOgqRCCQwtlxpMWsxWPqWPzpGyT+2wfQQiBlIJ7bRvh5hbBKF9pfnznNA/YPUY2YXHWeIbdY2kmC1WOzJc5Ml/h+EIVUwounsii0UwVqtxz2wibsglAo/TiujB6d1KEzylEbW05sHENMMAAd0MMCMIDDDAAsGhQV1rjBpqULfHceGNeypY9k4Pnqx7TRbeNHByHjGMwmrQ5WFMrGUlZzO65tedn6AfRRkLrcJGqtCZf9WspusPNjEIzWzo1zv/RpLUsB10j/EDX2tDigbuGKXgB1905y47hBFLAnbPxqeDTBnzntyd47r23YgyUSNcEjim6pphZEdaJVTZ6PseUVP3Q4WQZMtYAEMEymiNzjVpk9qUTOaae+VSs3zarFGkEJ1/5d1Qe+qiOZSZMScKSdYPIbDdDwBmyAZwsVhhNWmzMOJwsVpuI5psyDmNJ+5Q4HtcjFtO8ntoPwZC933Glb8ZfxbHDFLBzJEXSMpvm8GUHL9w9u91pwUTGaTIqLgVfBUyucF3RCscQJG1j3aq6rlusw+9kEBQWougGxCd5XwIrILwNcHrQb5dfi2XVTNHD9RW5pIVphKSSu+v6bdVxGsa0Tm/uvttyq0IQXq1Hmi55TBZ9NqRXR8F6rEYaSP7oe2x4898gXBehNbiLjkVZKWO+91+Z+ObXOPFP70A7iWXfbynyYeu5Fa242XW5wkmitSZRs2+UVJjp5svlIu/Jz/GSa/4K99ovYFfL3QttwA83nc+5x/PsHEryowNzMD7eV/0ilDO5vs7fNORwcLaMUppcZXUy7Vz1hQ90JQjLpZiFMThZ9Ng7U+KcsRTDpsnFmzIcmCtTqAbY6SQnPvqFtuC1QtUn0aCkJQVUfM2Jgsu5YykCrfnKnjAMKucYXLgxzZATKj9F9RNCsFDxsGRIcu0ngCdhxhMKOqHfIdsNFMlTsGTQLQs7rUMiAGaoOuf6ARvSDiPJUDQhUApPaywZpu4eTmrSllkPTL19unkMyzoGDzlrOCRhRs70s67g4Kv/iR1v+utYNeE6WVNKPvKupUm9rX1Da81wS+O5gaLw/x7N6Of7VwK2duzs+5pTifz3v8+BZz6rfUwRYaihqTVBjSwsgbLW7Pc9hrds5cpv/CC2zKW6q9uXQEX7mNB6JFJxd/3eFe+63S38r0Zo6qr0Jc9jfwPxZGsuwXCiOfhqrupxdKHZ/n3ZxFDTWNMLTLmowLn4pDWClwgJ0ElLLin0UfYUCw3jUsYxSDkGacesP+nyVIPDs11fcaRm75fAxHACx4rGybWD0tR8Kmt6mwEGGKBPaA1eA+fQ9RXbR2rCI4UqJwsuu0dTjGccpgpVHFPiK83eqSKmaFaStY3QxzOeDv2WEXkY4NyxNCnLoPh3f02vKy8NiM98AveyS9HHjiPu/wDsi+7B5myCwwvxfktPwZH5Cgdmy2xIWWzOhZlRhBCgNQrq5FrXV1R8hWnAiXxv/uh+Ufb6V9KwpERKjeuFBOBSD8rDojb/d3qCzU97DM+enwFgfnwT6S4BiG1lE66zrDtup3rWufXjXqBJmJK0baA07J+tUIyZN7fkHFKWYKZGBM46BilLUvIUhWp7+yQtyVSx/bgfKCq+j22E6r2RbcSQ8NuTzWvR4YZMEyUvoFR7D5Ga7FjKYr7iLSlU1FYHBUOJ7nbuXENgbWvm5bi9oNKarG2Rtdv330EtkKrsqdj+mTAlc2UPDWT6e5TaejFgU8am6AZUYvpqsVH5G9rW2oGGYdtoy4IroBawGcLXmoQhm55BA8OORT4VZqlUtf3ITMllpuTV+8vWoQRbh5JNtrCi67MQk/3EV5qZkku2lo0r2vcdmV8cL84aSzGactg+kqbxjQhETSF4ca1lyEVy8AADDDDA3RkDz9YAAwyA1otqvkH0jy77J627k4mkCFVALRlGo33ltmked8EYFS/oGI1pSsGWbAJTSjJ2qKQ7W3I5WPJZLTNuzjGwa5veubJf30jEYboUpm2MlMV8pUnbRmiQjtnorATRJnulGEqY7J0q4RiSvBtwaL7C7VMlPBUufJ0gwDIlokE1TgeKH982s+J7D9Ad+2dLzFWaU4HWtyY1B0vaNuqKLm1oUImUDZGqmnCjNeSsHzWyqq9wzFCROko/U2kwJliGIAhCA44hFyOTTQlbh5Oc/Oa3mXrh84l/Is2mt/wt+u2v5+CXfxR7hinFXY68tms4TVBrwo0Zh+P5RRXhpGXcrcklVV+tiTJ3L/jN8dVx0DdiKGGumSrlUMJk53CKQK0eOVCvVg7RtcLdmAS5Fqq1mYTZpyN5gHWLdf7pnkrEkVqWQukVr16LqgywjtCvulyvKFSDpr1k0pKMZRysTnuAAXpCL2/LMUTdsQSaO2Yq9YsjUlw0dy7n/Qvg3358cPHvFY6zExmb+23P1cl4+2cqTeo+ENpdLp3IUKyRj1p/BzhvPMVoqjdysCHaszyNpyw0i6rBJS/A3nMzG978OmS12l5IDaJSwb7tFsbf9Dom//YtPd0/QsKUeIHCHxrBnI9XreoE77zL+PZDn8Ln3/wSLrITDEuJ0nC77/HDaplp0+aZH7mBkmPDtV/oqUzftLj1gY9hf0FROpan6PpNhLB+ScJffOmb+3qmpGXwO+dvQLHy7Fq9op/+69RU0TTw1T1TPPisYTakLHaPpDh3NM3JkkvFC9rUxCDsb4uEPc11B/JszjrcOVtm73QzeXtT1iFlyVq2r8aOukjc6/fbbXV+d4IlQ4d0L+ryEZkjTNPtk3NMLGlgGaJ+QiVGjGEls44hw9TBjWXtHknzmxMLVGuqc+Npp25TMKQkyqGQbJp/IlnW5to4pgzTOYvF/mdIwaF7P4i9H/8eD/ubF8Idt7W9lYP/9G9U73kFHJiPr3jDBV7rpl50sOucc358WUtg4r8+uKzrumE1VwoHnvksoPP3LcWiYqE451w2fuqLbIw5z5Si3te8Jfr3csio3eArTdKQPZeccYz6maVaSnvbEGGmk3pX1IxkFucwo9xCJI8pN64NNZp+OV1CiI7ksqViuBOWZDRtI4UgX/GYb+jLi2tBlx2jSUxDLqsvlV2fkwsuQtRU32tksqlCBYnEMgSmKck4JuYaZY9ZTpDMAAMMsLYIdPPYeHQhXE9lHJNRpXFMgws25Zgvu+waTWObkjumCpwznmKy4DbZpNO2wXTJo1gNamsBH9sQ5BJmSA52fdzPf7bn9Wl0jvc3rwn/8Z534AHmWWfDv34I7HhvUMIMM01MljwmY9aTrRhOmGtCDoZQ2diUneeHOBSXQSpWKiafYKHAjqc8rK2tR6aOA/2Px6Nv/GuOve9TTccqNZI1wJAjefDuYRaqAYfnK0zWVKXPG0823StfDbCMcK2YsiTjCYuSqyh5AULQNAc2wjEN7pgJswQkTMlIyiJrm23BtgI6ZrlQGhZqv0kBoykLrXV3waAGhJkAdD14W+tQabqx7fvVbTFqqQ1sI9w7tAYnVTyFZYBSoskPFPEWVtRzh0eBMABwqT6aMGWsT2265DGWspirKTRDuK5p3Acdz1coewHnjWUX16dC8+vj+SYb64a0xVBNGM2UgrPH02xIOw12mRAZx+K8jVl+dWSekhfU2yVhSsbTzVmhh5LN1945U2JTNlm/qxRR9ofmLc3d2H06wAADDNCGAUF4gAEGaMJC1cNXCiEWU+4qrRFCY8pwIdgpOl4I2DNV5Hv7ZqkGzed86dZp0pZkS85h25DTdu1wwsQUYbTgzuE0vgo4NF/mRHrLip8pWgcuVAPog9yroSmiruorDEFTtOxqoOd0ektgY9piKGlS8hS3TeY5XmzYCAnBj/b2m4B6gNVE6+aydrR+cLmkwJRtrCuCMISKp7YpcQNd2/SGaZM04XhSdwFq3ZR+cOrGXzP1wud3LLe+jwsCdjz2/m0k4dGUhRR0TE96JmI8ZTWl7cm0pEM/MFtiQ8bGkrJNOeXuAFOuoTr3XQhpy8CSoaFJCrFqBGFjnRtXTEPgmIKqf1foI6e3sbOOgSUkwgyNv6cNZ+KrXI91Xo91Ok04/vdvY/Pf/mVf10w97HfXqDYDrBeU3YCq74dkqEZPQj2WtoFQWmOD6SjFc4MjopWAnrZNGrfJZU9xeLbMSMpiKGXdrYO+1hqWIZv28L88ku84FG6NsVdEeOY9NzOatJrSmR+YK/GdOzoH3dq1BdOukRSGFBxZqJCv7f0yThgkWvHUou1B1FT7rcU9wIUbkly4IRn9DISBo0rDSBJ01ua88RStXHNdT2neinB/FpEZRc05asnFPi0ETNUCp6NnQGtGPvQeRDVe5asR0q2S/Pn1JA7fib9jd3O9gE0Zm5RlMFfxmCv79bpUA4UETnz662x9xBU9EZCidxH8+3/xR0IQPOWxKDRTd9zMdT/4Hr/3+8/h2ZlME5tp/m/ewNjrX410OxOdfcOiMDbBrx4dkvdOFNwmIrabSGJXelMhjtQh5Xh/2vUPPH+cmbKPUssLalkOso6JY+p62tWhhBkSBjxFoHVdiUkDCxWfiazNZMHlkok0GctACsk7fnyIhBmeN18JSJiCrG1y4aZ0bU+rmxzmCvAC1VGZze5h49Hv8qbkBYynrHqD+kqzJZPgjtkirq8ZTVkoTU3JS2NIHU+kT1ssVPyauqsgaUsCpZmv+IwkFSlT4Kvu9U+YSyuRdoQQGEI31cttUTgruD6ZljmoS4E0tuZCjK0qYYbiDhnHIPe/XyBpChaqPre0kDpkF3tnI9Gg9fV2e5dKCKTuT6U2k+lXh+3U4Zb7XtHTefW3svd2HFO0HkUDhlgkophLcHUNKVA921Ka+0TxyY+HY4fAtOCa58PF94BLLiU5srRCugCGUybDqcVMWMfnyiHB2DFwTKNONjMMg1xy0QYW9pl8Q2mLdTJEKEgwnLRI2yaeUuyvEY9MGdpAkv2oCNfslYHSfduckpaBY4X1ziWtWHLUxqyN0Veqek0QhHO6GyiOz7vR4VoYgK7dO3zGig9UAxbKPklLMpK2V50orHRIwBlggAHWB5SmTUF112i6/u9Ah/7Nb+45AcD9do5S8nzStsmek/n6OsQQYWbXSNBIE/ojomCviq+4fbqIFDDGytelet8d7Hz8Aznwia/CyGjb75YhiUa6XtDql15tpGwjdm20mmj0ExpSEBw9xs7nPgFYvX2Ake8ufBKpGO8ecRhOhGt3rUV9jm6cv+bK4Z6x5ClKtXk26xgkLYOyF+DXAoEiSNFMnK74ivmyz5dvnSZQinttyVH0AiayNklTxgYatkJpmCmFJOZefQEZ2wg5AxCrpiKBhbIXvgOlSdmhWnLZUyRMidYKGngUSVtSrgUCuoGGQLetPYQI9yD7Z0uomihZ1Vd8vSbide5YgnPH08vb9332SwgRZk92lcb1OxOFJ4sevz1RYPtwgomsQ9qWVGv1jGwDEbKOiR9oxlIhqXi2pvZ7slhhQ8bGD+DgXKleZ1NCLmFxsjaGjKVCovDusTS/PjLPlqEEE7lkU33G0g5Xn7MBX2skcNOxeeYrPofnSkzkEqTtMOApUoy2TYkpJZdsHqrvKUxJkz1kYF4bYIABBojHgCA8wAADNCFf8Sn7PhllYMhwsVpwfUYTFoEKU390clxqDTuGEuwcSXDbVKnt96KnuH26zEzJ46JNGYYSi4vnjGNR8hVpK1TZ+NYd0xzLV8OUVbVzVrKeC+zlp7VsKkeHKS8Azh5NsVD1mVwBWViwgtTuNVgSbNNgpuxxz80ZNFCu+tx05yzJhMlIIlw8p2xJKUapZIAzG+thnxNFxEZqwL5qdvZ5ga7/Fm3SfRUei8zhhoCTT3x8T/cTAEHAyJc/DU95BhCSMipeUDdC9IR1TpAaTVpMZJJN1UxbZhjFW/bqqgAnCy6WIUJlECFRWlH0AvJVH601GcdcdyTy1YIhYzy0ZzCW8ySbr3kS5sljoEFl0lQ//RVIZ/G1wqgRPxYqPsVSQC5hkjRXZ/kvRYzS0zqDJSUXjGf51RqoPa8lzh5NIaWoKxlq+k/TujmXZHMuiR8ofnsyv/QFPeB4oTOB5lRhffe4DljhRH3Rrdfzx19/d1sx84ksr33Re5ZV5hqJSJ1B0MyWA0wpUJfdn02mhfS9rq8q6nvzj3vKqajgqmH3aAopugd0nI7vSkpRdz6cCvT7Gfoa9s6072dXivPH05jSaDs+W/LwlWY825mY2gta08zfXdDqoIyD0ppMLV0qYonzuxGqWpRoPKX44cH52PSrEdxA19dkSmmSVuhUjpSKlG4JcNTtzqw4G4xo+h3MmI7emXSuY52FcQqsuvYMAJm5SZybftXzNyUCn9Rn/4eZlzUrr6csgw0pB1/BcIK2jEoBgNZUt+zAOXqwK0k4qnHhsvvU9pyLz3D2xZcydtZFYZnR89b+U7zP/VGvfSMb3vjXoaO7vEj01VKiLJvprWfxrZe8Hj/R7MCM8LV//jSPf8njliQxRzX6yROex3JGPksKkFC6531I3/izZZTQWp/ub3Ch4lNt2GMZQjDVxTF/PO8igIofBgPfcHieqq9oFPuq+JqK7zG5f65+7CFnjzSlvx1JWkwVXSayNsfzi3Y2KWAkufQeZjlD4FTJC7OF+QGegs0ZOHc0y7FCOZaMYErBiGOhIlKmDo8lLaNG5tBUy4tv+c7ZEqMpi82ZKCV2aD8RQuD6CseSKKWRkqaggOhRpICk1fl9RdRQx5T1OtVqylmjqfr4KGt1byRat/ZbpTVFN2ibS9yaI761PaQMldY8pZBBSHAeTppNY/JksTOB5qsN2czutz3HxgalWFOCLePf+dx//Q+jz31az+qlG9/0xh7O6g+9zDu9Ijh+vK/7Asx84H1kn/uCmDG791qpfvbyWlHcuxee2hokV4F3/2v9rykAKeFL3yY9MdFWjBSQSRhkWoLbJ4bD7+O2kwvcNlkkbRvsGk2xeyyD1poT+Qpaw3SxeT/a+AS2GRFwBJYUTcTVQGl8BYmawrLXYkM6NF+uk10i3GNTroFsHRKDhADHkgSBxrFCv4kpw+855YTru/mSR6IhsN80JKNpq/b8AkNA0jG7BoUFSqGUJqgpCVZ9RaHssZylc6A0hWpAxauwZSTZkxJ6r1jn5qABBrhbQWuWVErflE1gSMH+mRKXTOQ4nq+wd2oxsGfHSJLdo2luObHAyYaAuJGkyY6hJLtGkpS8gIOz5br/ZWwV6h7NqTuf/mgOfO0nbb/LPu1XPQeCLBPWGkdGWIYg55gopfBUuE/cscrkYABtL217cEzRkAFJhPOgKdE6XHs6ZkjYXKj6DCXNpuwP+WpQF5gQIiTjOoZEiHA9oLTAMRX5WpDdfDWoE6O/f+dcvZxHnjvS13ONpnoX9youITIUJS4Zra1vfaXr+9aiG7Chpm4rRRg8F+d7L3uqThw2BOyZyjfts+YqPtfdOV//WyP4yp5p/t/lV7Htlz/u6TmiHfCHfzvH1pxN2jbr/IyxpMnmnMPmrIMU4XtL2yY/uPMkvtLcNlXmtqky992WrQf/Ne7N07aB0pqZcvu+6GTRxdeamYY9gmMKTCnrx3aOJENSb9rhyFyZlG0wlo7ve1IK7Fovv+e2+Pe+ZSjJlqH2vbltDIKWBhhggAF6xYAgPMAAAzQZ1IpumJqy7Clmyl7diTJb9jCEwDElmzMOQsTvzBKmwWWbs7EE4QjTZZ8fNCzyJdTTJYbKJAHbhhJszNhkbIOD9384O3/0zRU92+FPfGVZ18dhNGkzNmajNaQsk83ZBJPFKsfy/RNnxtJWmzOsH2g0uaTNdHExghfANCUXbcnyPzcc7rmsXx6aY+twaCw0pMAQou60FDUhIduUWEa7U3s9QNY2qK3HktZierqebOUChI4/tZc9RsUPyLvRZjg0cVT8u46ibSusWkrRTiTNpBU6iiK/RagwIdqUsytzc33fO/vOt3Hwsb/f93VnCrYPp/Bb2tVXMJFJsm0oxS0nF8g6ZqjKrMFAECjF3plik8PfNCRdhNAGIDTW9BpVvJa2hpLrx6pjCcJ0cI1O2e2Pvh+yxSEoCwXMRz8IDRz80BegwSl39miKxArJwVLAVMnlugNzHJyrsGN4nXcsEX4zF23MMlWqsiHlcGihzELFJ2WFqX77UW8/ezTFZNGtpy9bK9iGRHZYZ/WKaOwwV0nm+bSqBjfgjLT1rcBx+q/veA5R8t3GZ9fAUCXPO9/xbL5w7yfwrd/pj7RqrLB/nenQCKQQ/OxISJ7/xb99ief8yWOQuua8aDs/RPGKBzD30r86dRVdBYTpL093LdphwrJIcndlrFZWmbsjemm5kqdwA80PO6W67xGeaqZWlrygySHWCYHS7JlqVta0Dbnm6lOrDfeXN4Jpgteb01UEAZmvfK6NIGwZggXXZ3qJddXxD36azc95AvbJ422B443vvXTBPZh+87t7fo4I5SsewKFPfI2N138H+b+fxJieQlsW1Qvvwb5H/T4/z+2o3zPWPpBK8c0/fDUP/683dSQrRtcdPP/e3PrIp3WtT7d1zubnPhn7+OF6mStZE332le/q6/xcwmSu4ndNVauBPZMlyl7AwbnebGM/2DfLjtEk+6bLbEiH2YAC3U703TGc6ClziVKKsZRVV3JXOlSsqvqKQ/OdVa+LbsBI0sJTiqLnc3ShGv+sGqqBplqK7/8jSauNZAgwX/bYMZTENkLiQKhoFpZfrhMJOttTyl4vo1z7OVFgaKSi1nhfWAwYm6945Kt+3fFvtHR4x2hXbpNSkK4Rmm85WeirXnFIO0bTfiNUVO6w/5jYhX76HzL2if9a8ltIPeLhbHzmM3uqwxmFd/0r+poXdD2lW7v0K1ZR+MmP4Y+e19vJSsFjHkL5uc9n5M9fidKhAq9jSpTW5CsBSnvkGlJEa605MFPitpoCddENmCpU2ZhxUFrzs0NzS962Wlvwaq2otKbWFjXbbI00ZpsCt0FZMNDtQTNVf1EgJfpN6/CbHU1bDKXig/CTdrvNJTq3F2J5ECgm81W01lRWMROSrzSzxSpjGWfVMlYMlq4DDLA+oDV4qrcZt+oFPPCsMYaSNq6v2JJLMlOqkk1YHJkv84N9U4w0jM+CkCA4U/ao+AEz5YD5qo9d8x2uFqLxceTf3sRsy75BLGPV25di/BL1EmJxvBtOmmtOQFZKN627kl/4ZF21dzUx/6SnL3lO2jbb9roJUzJf8XGDBgIw1DOMxEFrKFQDCgSkbaOJmBtxAoxaIFuran8/ujCGFMyXexfzCnQYuFrqwK6P1LQjcnCgdFN2YUOCXctu2U20yPUUGoVGkLQNqg1E6sa2GEuZ7JsJg1a/9cK/45qXPBLoLRD1f1/3fgBOFjyCaolUyqbkKabLPtNln7KnmCu7/N4lE9hSMpq0ONlApN6UsSm6AQlTNpDCw/5f6fJsaduo95GEJRENzzScNLlk81D9XE+F2RCsZahWGLUg7+hbjNpEivA9DMjBAwwwwAC9Y0AQHmCAAZqM74WqT9VXTPrNC+nI0FbyAgKt2ZZNIoRoipYPas6yLVmHF12xjZIX8KVbJpldwunVaA6fq527d3pRveXoH76S7dd/G6lUXxuh6LGmnvk8SKe7ntsNAjhvPI2vNBnbxFc0p+XTMJ5ylkUQXipKsRu01vzyWJErt7cTdm1D8r8/P9JXee++dt+S59xv9wgvetDZfZV7qmBKseYb9F5Q8RV3zvaWZvSuAF1Lu+cF7QZ12wzfiSlD0nq0mdQxJqvgmqf2dd9ex4K4FKDrHeMpi/G0Q9Cl4n6guWBDtmksKnpebN8LlCbQ7d+GRJz5qaxXsfq9Kk5puisxrgR+FJoeg5wQpCyJBjY87L5LGgd3PvcJHHjfxxHbz+as0RQZx6qTRgOtasa70CAjgILn86ujee6/c6RWF8Utk0WO5atctjlL1Vd8Zc9kE9FsvX9aov5fwYZUmElgey6FrNmmDi8srQ7pmILzx7MIIfADzc5hEyki9e4qk8Xqqo8xq1rcen9J/UKcgQ+0zPEiIgfHXd5IjnrCz7/A5MhGfnXxg3ouu18FlrsaBJqhhEG2gYzykXd/hQf81xs596fXtn02yrI48do34l75wFNf2QFWBetn5Og8IEip65lqYkmGenEFrXXDerrhP0XPbxsn3UA1qarqiE3VfHlUcntbNQRO3l0VihvxiV/1rvS4FHylGU1ZPRGM46CA8bTVfExTL280FRIufaWb1JxWAuFW6XcKEcDOR12JNzzG0f8JA7fnK37PQVrHPvIFhvwKuSc8FBk0p6cNbJvDH/8qZDJYErIJq2/noE4k8B7zBGaufkzT8RzAvjkAdo0kuHhTmrIXarQeXaiyJRcGyn3nvg/hU7sv4Ml/9zwM1b7n0sD0y1+DeOyTeFQ9/WmoOJu0mm05Ak2qTi4Ln9T44+cx+tsbG85Z/LXfJUY0EhR2ndP1vNY2PDxfWTKIYUvOpuKpnsnBEKq175suc85YkpKnSFmSjBMSEaI5WgDzhSofu/kED7lgA1tHkx33sIHWTJZclArbOG0ZJAyjibSbdYyQPFDx6/u/kaRZP8cQoiMReqkRsJOvO9BhQKohZd/z0Vru1iNbQs6xGEpYbKupcd18oiX7Skwleq2XUnD2WLPKl2iYhKL2SJqyyT6qWRzfpoteW7sVrvljCve+Hzv+8kUd67X5Pe9m7HdbFW9XB6d9NowZa1qxcSiB3SKisDj3awQCTykOz3Qmz0dweyUHN1bxQx8gf/8HMHT/ByDEol/BEDBdcPECxXDKDhX2hWDXWJrbpwr1804UXE7snWqb5xoR1w8VsK8tC8TiG0tasivRpfGKuPKTluxIDu6GeHKwbvpnyfU5sRD6Y9K2jFcPbyhIQF9Z1PKVgITlk0l0btN+ofUghfcAA5xuBLp3wv7W4VT937YpMQ1Byja44eBMff0VkVNHkhZVP+DwfBWt4dqGLBARnsvKA9cakfvK59oIwnEZTpaCbfRPEG4lrkbP30hmXK09VSMMIUhYEqtBtClf9SjXgkQ2vPefV/V+UWsWnvQHXc8brRFjG9FIjm09Ny7zRhysFqeKJtwbHs+7beRgaPHDN2AkaVJ0A7KOiSbMgDKcNPsW40pYMpYgHCnhRuVF65GZkku0vPLiIhtjEGjNzScLCAFDjtlEYI+CgaJMRY3f8g2fvo4rfv936n+3CkdE+NqL/o7CxHY2pC2mZ8v8dP8M52zKcL9zx/FUKCx0x0yZ++8Youj62Ambh509yid+fbytPK3DZ42ypJwouE1ZThqRtCRaw6asw6asw56ThbqAmWUI7rV1pGnfZhsClqk9pgn3qFFVBmuPAQYYYIDlY0AQHmCAAZoWkwV36U1OyQ0wZKgmXPEUVaUxZRj5FS1sLSkZciTPvnwLbqD49z6UbNvu5yk+8q6v8qyX/S6W3z0CULf8+9Br38zYIx9OcRkqvQLIJkx2DacIVJjirpMClyZc9Pq19KFbhxLMlj0kMJKyOThbqhOIRpJmPXV4r+lO4hDo0Knx7b0z/L9zRpo2UN/67cm2lGmrgU4bsgEW4ccQMe/K8FVIJIRwk2dIQaDD7yBSw/FVqOIRKfl4vm6P5J6a7vveAtiUcTjRIe192jI4eyzNr48vxP5+umEIGE5abEg7OKZBEOimqPQllUUamk8I3ZGYPlv2YpWMTCnYnHPIWlbTZj0ioIRR8ut8t33aPXOnDoowGn3Ho65ckhwc+Yx2vvAZZH95M1qH81OgFUcWyuSrAZYUjKQsTCnIVwO+eMsUAL84lmc8ZTWlEe6YFeAMbf/oG9sxlGK23Hl82D6UJOdYtW9N16+Nrh9LOWzMOBycK9UDnHpFmH5XNJE81gQiDDpoRNENKK9HSdEB6rjst9/vSA5uRPStv+Bb7+NP+yEIn8axXWnF8UKV0aSFYxindJ7RWuNr+NGBeQTtAUQ//MPX8MM/fA24LuN37qGSG6UwsZUH7R5es8CQtcYZWu3VxzqZr04WK4wkm0kl0Xe872i57gRcTayEgNqKbiSd04l18nr7Rkjc9RhL20wvwy6gNW0O0MasOrOlkFQ3lmp/b8vleuvhkb6jTKI+bs1Ns/XJD+PI/367/xtnMhz68o+6143QSZvvN9NDoUDq8Y8m44bvQAvBobf+O1xyTx513mh4TOsmwsDmrF0PlAUojW/mo+/6KgCPvO4zDP36BtytO5l/0SsgVSNiKE21toisEqqyxqVqbcTGlz6HxN49QPt4vhxyMMCHX/fhns+NkLYNZpcgRDiG5OjC8uxb+6bL7BhJsHe6jG0INmZsdo8kmMq7fOeWE/xsNiQw/s8Nh3nt484nkzDxAt1GMq/6mu/tn0cKOHc8RaEa8KU902zJ2Vw6kcH1FVII5so+KUuStAyqvmp6NrMPhrkAMjUi87ahJI4psA1JwQ2a1MHPH09jCEHFU/XvIWlJqjXCea+fo9YaTyskYMswx4QQoS2yuoL5Q7VUQkZSzvUb91jQoTvIfvn/yN/3Krj3lQAsuAF3TC8dQH/2SKLtWDS+jaVtCp/6JJve+aY2YsTBv30LXPVgsv/+r4zdeiO5e13Ojje/qccKLw+9qMCuJTQgjF5deiL2T4mo2bElO8fa0zQ3Ys/vLD9Azv2j51H6xS0xddIslH3yFZ/RtE0uaTFTrNbJwf0gIulYRkjAD1Q7ySu6ZydFybiv3jEllhG2U52QK8L+2A+i/hL1meuv/zHf/961+J7HxZddzmX3e2i9bKip4BEG+i+lIBzH14kTZGjEVN4lYRmYy1Dvi4PSaxdAP8AAAyyNQLX7K7XWHJ4rc3CuxD23DJOyDebLHoHWjKWd+jmB0kgRZh6cyCYouj6FaoAlYSi5SATVWnO8EL9mPXb2RWy+4+ZVeZZO86u7jLmhlYTaDSnL4MBche/um+N3dg0xmjQRgkVfiqfIOMay5qhGSAFbcgkSpkSKkAgc1rJdwGU4aXFbLfvMWqgHu1c/PPZ49A7GG7LeGlKQtQ0sIz67Q9KSPQd+Zm2D2ZLX9LzhWlZyx0z8evHYQpVzxpO1ebHxHYTKvdM1Yruv9JLk4GitbhmyHhDZiUjeqp7cWPZSvrtISTeokXP3TofvUutQIC1STTYNwU0nwt92jSab1sxnjSYZShoc+NpPyH7sg4x+9D/a7jOzYQtf/Pv/YlPG5vykybGFKkfnQh/OxozNprSJYxkoBOeMJvCUphooTpYqTZkLhxNmyIVoCBCIMJQwCRqMB1G7KQ25hEXaMdkxkuKmY/NcuCnLodkSQgg25xKknMX1qta6/t5Lrs+xhQq7RtMYPe696v4Yubj2G2CAAQYYYHkYEIQHGGCAunMoULqnyMrzN2TCtFoN5zaSBBuhdBix+ZL7bedHB2a58Vi31HPdcecXvs8lIxbVhz0Qyg1kJSnh+S+Gj30I4bl4mSGOfeBTjIwPM0LnRf5SuHRiqJY6ZOlztYbzxrKhIqMMN+cZa9ERd8GGLL89mSdVM0ZWVoGY49Xae9dIoknhJPAV1++bWXH5ZxzWiUEyYS4zDPIuADfQDY6k5i1yoEMCsa90mDa09WJzeUuS8ZTDpozDQnVRPTdjG6GDzjCoBMtX6V4rjCRNdgynUGrRoBApuy7XWW8IWU8d2it8pTk0V8GSVXaOJHFqTqZAK/ZMFbGkwDIEtilJWQY5x6LiK5QODYgp0zztBGL37ha1cPx4z4bB6JzCW96I8YpXAXBkoVyffzylOVkIjb2JFs/S1CoRidY7fAX3mMjxmw5BBMNJa0lxpkDBzpE0yUKVY/ml1ZcibMl0Vj9bTfgBbMo0O309FdQNzWcc9DqZ7FcLhQL//ME/wdSLhJGbt17ERUd6d7BE100c2cPxref3ds1pakY3CJirePXAFduQbMklSJlrTxTWwE0nS72pidg2U+fdY03rM8CpxXoZOWbLfkeSXdYxGLbEmqgSDdAnTmGHUXp1b6c0bc7rONWt5d4zddVVsIyA2Oh+ZrGAuPab6A5O6ZXAV32SlAoFdjzlYe3EW63Z+ZcvCsmH//RvdaJjL7h4Yxr3OS9gkhf0UZHOSHYgB7ei8Q13UpbSwA8/8BWoLm2vWE7a+JUQJhVwcLbCOWNJ9k6X2TbkkDAlW4YcLt2aAwVH5yvca9cwUyWfI3kPTZjBKG0ZuIGm4AZ1wrXSsGdy0WZ4dMHFkiV2jybqBIaSp2KVN2fLHpYhegq4T5iSHUNpTCnQhLbDhGEy5Gi2ZcM2uWUyz1TJZaK2Ho9KLXsKxwyDOGWLY1yKMFA3JKe4nKjt2dxAUfUVl23OEQQ10qEOidGmFJiGQKnF8gShMz4MDOv8PPNVl0Br5mvzz7ljGQwpmCpWmav4aK35zYlifFaLYpFHvPzJmN4iOXz085+oP2vxz/6O0XvWgthqUqP5io/X0smmSn4T+cCSon7OjkddSSa6X8v9d/79K9HAu17wZ3z6pz8k+OF3GfnYh/jtrXvJZDLcVSHe8q/1APyO6OmjFG39rxXBoUP9VG1JNN5O61BNuOL5HJmP30t3M/loFolxjT6J4YSFIQQL9YCR7o0R146ur/CC9m9TGrKvIN/onH95+1t50xv+iYWF+abfbcfhac9+Pq/6uzchpQQNAWD0YFpWQPGhV8HcXP1Ycds20l/8Ztf6zBRdxrPOqgSNKr1sMcABBhhghVAa4tyeVV/hmJL7bB9BCsHJfIWThSqXbB6i6gdMF0MV923DKeYrHgdnS5zIV0MlVhuCQDWJGvkabp1sFo64eFMaL9Dc+o/vZfPTH7yqKsKtKMeou64GHFOyUA24dt80mtBvlahlNGhdCxeqASlLhgFfy/Dr5hImW7PJnsfdtGVw7ngaASxfXqoZ0SNVd5+D+/o3Q8nDMcJ1QMKSoAVuEPp9ZkpePdgmULpJFMOSgmyNUFqoejXRsN5sGNNln18fL7B9KMFo0sSUkK8qfnZkruM1t06VuLUmXJK2JLtGkuwaSTDXEGhZ9hQ5x2Ch2t5XxlImBTdcQ1d9TdUPCGfa7ij2EHQqoU1dN1C6KVOBKUUbsVpDfU+yeySB1rpODt6YsRlPWdx8ssjh+Qr33Zaj8MznUXhmmM3BEvAf39vPpduHydds5CnbYM9kibGUxdlbh0naBX50xwyX7xrGMg0MEQaqjibD4PGcYyJFwHDCZK7ic85YkqIbMJ6261nWIPQXzVd8xtMWhVpml/tsH2G66LJ/pshYymZT1sE2QtJ7xQu4366xNvuuGyhOLlTYNpKq1dfkrLH2jM/zZZd81Wdbg9K50pof75/msq3DZBxzWfvUAQYYYIABmjEgCA8wwADMFl08pdFKc4+JXNNvkTMpWtIZIoyej7OVC8CMMaQrHaoTPGjXKA/cNcrPjyzwo4Nz/VdUCLSdIP3DnzcdNmriFsmXvwx0qIxn+X5HNc3e0f9qM1IraIfgvPE0B+fKKyYHj6VMjuU99k6XOX9Dip1DDo4psU1JyQ1427f2rqj8bvjVoTle/6Wb64ZohUbXSI6BUjXDhKqnn4wUSAXwnKt2cNm2kTWr23qA0pqF6t2DWLccuIHGFJC0Q7WcaP9smRLviU/C/ejSakZxCBSkLYtLJ6x6Kp6EKfG15rbJzkEJp2M/6ZiCHcMpYgKuVwRDwGjSZqbs9q0e5KlQffjcsQxSLDriPKXxVKhaO1f2OUqzUvOFGzIN+qenB1qHhhjXV7Hz0l0N25/3e32drwH9iY9y5zUv7Xre3Y1nHUF2caomTdkz/8UPNBvTTl8E4bU0nt+lcQY2Wqeh6d/e8eymx4n+fXGNHNzvo77qf9/AK162vHn0VCHQmskGR5MbKO6cLWFJwY7hZJOisCAM+Ikaoq2t6scXf2n9rqLzlNbsn6mybchh+5BTX5s2nUezupdo+O9w0sSMi85YYt5p/Tkab5TWTUb3tcR6nhoTtXSEK1Xi6QlnwNgR9YmUJftKF31qIerqtHXoZrU6gWj6u/4vvXhU6xoBrn5N87mnu9+uRncR6Po6o9vzZB0jVolpNdvAXyUv2lmjKdKWSfmJT8H/9CfAW96+d/ubXsvBNSAIA72/vEKBnU952JKX7Pzrl3HkL16H//DH9lTs5pxdt4UshaXO2vbEhy5ZvwitCpWN99DAZ1/5bgq7zuGcTBKqS9vJ9DKiVvtR3o2DAg7NVbh8a5aNGZusbVCoBtxjxzBnbc5RqAT89mSRQwtVjufjqRJZpzNN7cBchaMLVYaTJpdsandI1+uhYcQxY9Mkt7aKGygCFEqFKac3ph18pevkD60V24cTWFJiGyImbXKYfSmI3ciGx3xFmyp23LjiK734rTeUl1xiTjmSL7UFpoSqgiG5Mky5HK/Iljl+iKe8fpEMH9cDLvrXv2N490V846/+pX5s65DDkflm28KeqSJFd7GeESnlmpc8smOAbHTM15rq219HpRwGQJ48cYINI1kA3v/BD/PMZz+n4/OvB1gXXYh3c6vKbjyiN5u6+qFnDEGi+MJnk37fR+t/K5rV7qu+olhV5BwLZ1RS9EICihuopTMgxLRBoBRJS5Iw7TpB2A0UJmEWxCiQRNT3EvGquxrdZu+K9hCtQRntX3bzscc/9lF88xtfj30Et1rlo+9/D9d+66t89bpfhSThDmgcm0tX3RPcmLHw8GGK97oQcjnS1/4EWMz2FlVMK03Z9Uk7K88Mcab0wwEGuKtBa+jEm01YBglrcU20KZdkUy5JoeLxwzun8QLNhrRN2QvY2yAeIITBdMt8r7VuW3dlbIONDZllDrz7Y+z8k2euqp0zZRmh0q4Mn3W+4ve1p1nKzp0wJd/fP0extka6akeOoYTZ1TZRqgV3pSyjtj7qHeH+t/fWMaTErk0H/RKEu7XSwuOewuxL/4rxho24G+g6wTeXMBG6+9juKV2fn8dTFpVAMZ4ORWUKXexcGvjp4QXcQHPzybDf7R5JsFD12T2aQNSyfHSb+4ueIu/6+Eo1PaevNAvVgLF06Bt0A4Uf6BrhWSzL5lQNdNO7dgxZzy4gRBhI5C8huFZwPQ7OlWPfSZTh7OdH8mzOOThGwEjKYq7kcrLgsmM4gdK6SS3XMQRv+epteIHm+3smefCFG3ESFofnKmwdcpgsuLiB5tytQ6RsA7TGUwrTNNBacaLgYkoo1rJInzee4obDC/zyaJ5HnTfGaMJkJGlhCYFGsG+mQM4x2ZgJg4qkEGzMJtiYTXDuxgxKKeYrPpO1oAMvCJXJzZaoXaU0G7JO07FWEnHZC/jBvmnOHkujtWaqWGVDJoEUggecNV4/b6AePMAAAwywcgwIwgMMcDeHru3cTCmoKh2jlFczbNf+Wop3ZgiB12EbEm0szhpNogkVPn5zvHdF4V8ezXP55myYaqvhFglLojRUPIXW4bMMOxY7h+HA3NLOD0FonLxk0xBl38eSMlSuWGVHstJ0JAdbhiBthalaco7JXNmrR8RJCTMll41ph5QVHrtlcppAaTZn7JDE5wbYgeID39/fFKG42nCVZv90h1TzS6Dkri0R4nT7/bXWHF4o95/S9G6ChCVCJQzNouNHh8RWP9BYr3h1/wThsbGmPxuNPxrNHdP5004waEXGNledHCwI23U06TCecvC14kS+umTK2kb4SrN3poAhRM+qvF6g2kkipxhKL6ovBWuQlntdQYNQ/XWeNR8XT/fAuwSWqp6vFbecXFyHCGDnSJKsYyERfRmffaW5bHMOX2l+eyK/vAqfItiGwT02NQeEHVko9zVmDNA74vphRA5uUy2s/Xc5o5nRh6Jjr+Sl1YZjSDK2QcENSFqSsZRNxQuYKnkcy1fZOZxscsQXVrh2HE1ZdefCOWPJxRSRfSLfY7rEXjGetk4ZQXi9QBCmphzP2phSorTCsYxITJCFssdC2cOQck32MgLBhRsy3NIlcGw9YGvOYSzlMF/10BpOFCorShsP4XpttaC07sG51lt9G8l33a4YS1ttjupeIFr+IQjTY9ZTWNZINnH3PrpQbVI4NGX7miBjG2QdkxMFF02oHhQF0fpKo7ToiTTTaSzo9bWNpUxmSn5HBdnoHq3Hyp5PL3zO4aTFfDm08Nw5G9oBxJOfw+ZvfxNj6iSiz2wtdV90zL0jQlVctRZqqVgbkbKNNkWxhUrzczmmDG0wDdEfAtjWAzk4qs/Wt7+egx0IwmUv4Oqzhup/+0rhBfCTg6FCZON70Q3/0IRz1GztO4g777mV/rM9aCE4+a2fIoBbJ4vcORMGrwkRKjzumy5jiCiQm7aUro951TPJzE8DgsollzH7tn+PvU/jVY3v7OzRZFdysSb8Dhca59VaQ5tGZC/QXLwxS8n1UXh8c+9MneCasWU9A8pS9YqDpzSTRY9Ad1ebFmJRiKAbAg23NuwlSp7P9lyq/g6lkORsGwjJF60BIEI030CK8H+NY8dyyNqN0GgMCeiQSNt4PCQJxg02YeMsJW4QkYM7NWX0DW3ZfzOXf+rf+eVT/xgIx8tWtJJmAqV5xssf31P2HEsI/jQ3zPVulYNB85rtBc+7hl/96kbe8rZ/XqKU3rHaq+jzv/51btq+o+f7eo/oLWBh3VhH7tzf/LfWdTtOshYsBmEfSJomyVp2MYEma5vYhiTrGByc6y0Yt+D5HG5RI/aVAlEbr+oNs9izpBD1dPSN9al3y9oxx2xPAx9HFm489mcv+5OO5OBGHLpzP8958qP47899o1ZWO/X4zrkSJS9g+6Pvh9S6+7exsEDxfpeRvv5XGFK0EZhKnsvuDSYrNepo6uLgAwwwwCmC1qFy8HLG+V2jKe6YKjJZdJuCtyF+/xFo2gKJcomWgKyzz+HA565l+1MfjowJIOx1eIiexzElJS9oIuGmbQO/D/uQt0Q6uIqveODuYb522wz32ZolYcqeSKRVX2Mbioxj1Mmw6dqepNveL1/1axkZe2uNpvo7Caj2LkgBUNl9FvKKByBvuQmRTrPw+89G3fPeoaiO1nWBr6ofksU1mpIbsFDxGU/bJMxwfi66AVrr2IxfoymrnoEwaouEKSnWfPSGbLBxarjpZLEtWE5KwXTJZ7q02MfStmRD2g7Vrwtuk11wx7DDBRtSMUF3IeLsBv2SuSMYIrRFJF3JQsWnGiiqLR/JWKrDxTUkTBn/nWrNdNnn1pMlAg2H56uMpyz8QLMpl+DYQhUvUMyVPTZnbTakwwyHn/v5YTbnEhycLYdcAzdgYiSFF4QiBFG7lH3Fwy/eyO3TFY4cKTKeMin7mqIb8JDdw/U9TqFGFA40fO22af724edwcsGtHVNUA03aEaRsk22WyVBiMTDAlBKkZDQlGUnCrtHOAZiNAQuWDPc7btA8htmGZPtwgq3DYcbF0dQioTjaIxlisN4YYIABBlgNDAjCAwxwN4cGcsnQYF2q+hRX4Kx2TIkbqCXTnA0nLO69ZQgp4PzxcOEYKE2gNcfyVX56OD7Vd9Yxwo2qhKQlKHsayxCU3OaIQVUjCWdsi8s2W+yfLTU7IBqwczjJcNJG1dQ2LBkuVg0hVp3EZ0nBrpEkU8XFjc2GtMXmbLJtAz6RbR6eM0NW/dkA7rk5y4aUVV8Qm1LwxV8c5cTCaiWdGaBflHx/QA7uAoGgHGNoCWrqFQDs3A0H9red04roe5/72P8xu1CmWZ9DkLENRlMWtmkwanZWEVqrFFXdkLJWf+nlWItkmlCxXbI5m2RrLsnhhRKzZb9OyNqYthlJ2hycK7W9Dy/QHQM84rB/tsTGjMOwY3VVOVlLWEZokBBE88J6VdxbHfTiID2lWDdex3hUl/DqG0gumxii5PugQ4UKX4FSoUJ+vwjXDYKLN2Wp+sEi0bF5iDrt7zFOdWxLNsn2ociyGe/hq/oBt55ucp2GXSMJ7pztzzh+OjGbb1ZI+9d3PGfJPrDW/ePEQnXpk9YAUkh2DqdxVYApwhR0aUuRtA0ShoEUqzuXRKWNpaxYJcDThVPKzz7N47QUkHZM0o6BJSVmPbAo/G801OSSFpmEiRSCqXyVYiVgNWd0IUT3NNzrABszNkOOTaAgY4V7PysnuGNmecGZpxO5hIlTS8Edqu1pjnch9XXFMt+bbvlHRGJcToBEoHTbd5u2DY40jKWrvavofR4QsaqxrWg/JlG6e63H03ZTeuE60lmO/csH2PSal2Id2FerRX9o+x4LBbY+4zEYbvv85I2Nc/RjX247rnT7e2mFJQXlFvatPn6857VYtIQb+6sXM/XW98ae0VpOJQiWDKyPsNQ412+7Cq356p5pADZn7cXy4xjIOiTMUihwzSuf3E7A/vUvSD3iCgLT5vCXflBXdO0GKZZ+J0A9Y03rsfGUxXzFQ6MYSVrcPl1kx0iCW0+G42DGMSnEKWb2CWMJjbupoke2RvzoRr5vRcI0cKzQlhgXaFjxFSlb4tf2KBWvlSQBvzrWbA8dT9td7+mYYa28QGMbIbklYYWMjLIbKrlNlapt66CUJUnb4fxcLSlyjtmkthqlm1Y6LHv3aLLeBhq44kVP6qlNovMvvfZzdYJwHMmkFRqwvd7XqwaCp6UyvDU/1/bbO9/xL7zu715PJpPpubxTjV0/vYE773tFx9+jnuKefR7OP7yx/t6jN9DWogLyFY982Wv5sX3MagyXWZO10vjGpvTbUoS2mwgJq/P6PyKUBNogYRoo3fw4jhmq+TUeq/iSsVSNwFLrgMfz1a7BeVnHaMuG+NuT7UG/O0aSPPi+F3Ng/6Ld8q9e9Rpe/49vaDov6vdKKd73H/GBFnH4xU9+xMnjx9g4sTn2dyFg4nm/vzQ5OILrUnz1n5P853+N/9lX2F1spr2i+4g6wAADrDZ8tTybQiZhcX7CYsdImhsOTLeNi7Nlr2X9r7nhcL6NOJuxTZK1dYTSIenQT6eY/tqPAUi84w3YN/4SlUqTvPWmvsaIhcc8KZaoaxuSYh87rqWCji0p6mujnx3Jc/8dQw1za3e4gSZQAcMJk7mKT9EN6oGogdIsVPzY/VjR83EMiSnlkkThJr/0N38AD7pvT3WL7nvivZ9gOGkyV/YxZdhnaFjHV3zFhrRVC55rXls37v9sU/KjA/NsH04wmjDrwTS5hFkPdGzEfDXgRwfm63+PJE0msjbKUxRiAvbjMlMWXUXRXbT5TmRtMraBEGEwYlz/6MZHqPoKxxBL+ggimFJw0cYsqkbCl3j1vtK+H1osMwy+rB2N7O5q8fmU1oQxe4JbJsucKLhMZG2mix6e0nWydeo3P+Ppb39l7DfzYiDvpPn46z/GppEUypB4QVDLartYr805h+sP5evBfm6g6/XWDX6JxnHk4eeNYQiBFDCedZgtVdmUcbjX9mECFfaFRkRBjUbNJ9jo+rBk6PNtLN+otU8UnypbgjENKdg1miFtm/W/o7KMgWrwAAMMMMCqYkAQHmCAuzkaF875FSrHVXyFIDTuVX215EZVaZjINKeW2DaUqNdL19KQqlolzxtPYxmCQEHZ09hGuOlK1Mhx0e0SDWQ5P4Ddw2l8pThRqJBLWGQdk0gg2DLkKSOUSSHJWJL0sIVZWyRr3X9qd6U1FS9oSof2033T3HR0fSsW3nxsgd3j6XCzUHtZm3KJnpwD6x1K657UqtcCxhnSft2Gg2isSH/uKxSvuBT8zmNRVM7PH/VMfrMvD7T3+3tMZBhPLb3ESZqSRKQqtYYYS1lsyyUB0ZMju19UO4xhSsOO4TQ7hkIHZaP62Y6RFHtWSPRL2QbH8lWO5atsyNgMOxaWlKf0mzblqRvDG3GqyF2NClJVXxHFYvervtDLfe6KCJZQjNCE34ZdCw5ataFAC9KWtWopvU8ForZoPtIMax1Y5IQIDbJnEvyWhZ5Bjw7dPnE8t7Hnc0+3+nv0zUE4jkfqeo1Y6dcjBXXFYLWOmKGhk2b9kJVXioxjhERvx6RUUx9RKlSYSTlGmBqzp/4m6k6y8azDSFozU3C7pqjsF+t1qss6BuMph6RptK2hEqZJ0jQoryBy9XR0/90jqSanptIrIAivIpbbFEIIdg8nan+EKceXUmZe8XJ4jTtsXDr1uLM6IRgd4+h7P8b2xz4A2YeCfRycL3+OiXe+qf5346NrwJqeYuejruTA+z4O28/ur/CYdtz+vCf1Xcf0b37BVA/naeAXh3uzy6yLmen4cZ77+muA+C6nAcN32fGoK5n77s8YSZqUPYVtSAquj22EIgEZx6TsBSvOUDBV8hhJWuyfKbMl6zCRcSj7is2ZcJ0QaJjI2Nx4bGX72EoAiSXMBZYh0cug/oepdaEa+EghSNTId4Jwr1F2QwJv/B6201toOVI7FKkgR0rzVT+0i5Y9VSdwmFIynnKaCMKCcC8/V/HqpMjGMeuTvzneRDKIw4Pnp7v+3oio6MydeynsOqfrORHO+sJHYo93giUEv5tM87b8XOy3tWXjKAullc9D7Zquq4PMxASXHDrITRdeBIVCbODH0b94Hf7DH8vWQDdkF+hcG6VER4W9U4p/eU9Tf3dMsazsCFnbpNJyXcJs/5YqgWojxGecpfaPS/e0Z1yxGy8miOWtb34jb33zG3nCk57MJz/1GWDxrbzjX96OWsIm0Yq3/P1reNt7PxRfSwHO0YN9lcc3vgr6X2N/mit5bMxJVrroUPqua1MaYID1hkAtneFgKSQtg12jaQ7PlfGVwvUVKdtgtuyHmQcEpB2D26cqTWTMe27J4BiSO2fLHMtLzh41KFb9OvGyVMt6V3rJq+rXbPjUh0h98L1LkoSjR5p92atjf++W+SEOoR+ks53XNCQnGvanPzo4z323ZcnaRk/zfKBhrkGQar7SqIAbH1R3sOY7PG8800QQDrNFaBRRAKTGV2AbAi/QVAwLI5PBLBR6asPqtp3hM9YGZl9B1jHbhI0U7erQTeVpzc8P58lXA24+sZjZZFPGZkvOJueYiNreGMK54PqD801lzJZ9ZKD4xm+OA7B9JMmO8TS2bWDaBofnl/anHs8vvqcDsxXOG0+xOWuHStNuwJZcgpxjMlvxUDoUIYv8z4HW+EHIH6g2qAvrGjkgPE8QoJEITAkXb8w29ZuMbXHOmCTQipKnmt5tJVAkLU3J8zm6UIldd6Vsg/2zFfbPlJHAtuFEve8dz7ucM5Zk73TYDk99zTNI1dbYnXYF2WqRF73qiVz76OdgXvN89s5UGE1ajKUkY0mTgqe4bXIxyPys0WSdBH72WHJR1Zkw09qtkyUEcJ/twyRtk9F0GHQ4knL49bEFqp4i5dRIu2JRGVoI8ILF8ShqdykEgQbbWPRpRec3wpRhVgfVQCQeSlporfGVChWKGZCDBxhggAHWAgOC8AAD3M2xaL/XTanulovIGL1cw5BEcOW24Y6/BypciFqGrC1CNWVPNRHfqrV085HBMTwu2JQJFS8anZWBUiQsQdXrzUW2EjSmKFwOCUlrjacVB2ZLTZsNrTXfvqUXd9XpxXV7Z7hu70zTsTc88WI2DyVX6Q5rZapfGhp92lTJEqeZ5LPaSN/wa4qPfRgcOxr7uwDuePGr+M09HgrHj/Psf/xDjBaDuwYO/u1b4KoHd7yPbQh+ducs3711kpc85CzkGu42tw0la+PO6ncS2+ju9PEbfmsk/zkrfF5DNJc9WXCZLLikLINdw6k6waXgesyWPTZnHUy5uqS+cJy/6yoGj6ctFio+SatmnNRQvfwKEr+8oa9ylHH3Xe6fTneor3QtBWm7OtgAdy80jlKv+dBfrdl93vCHb+/53OQZRrJeDpReVA6u1oIYT/eXeFqUjFfZWR/tZ9KOwVDSwjYXA4MSMf1qee0uMKRgQ85hXMNs0WW+i+Nq+2gC11fMlfx1sS7IOga+0qRtM159tQFShOk4t+YkUor6HrrsB9w+Vex6ba843f0e1i85u1cIYP9s6LS7//vfwLm/+F4bifXap7+MAw/sLe37mQI30KQso3NaVilxt+8kcXB//O9dkHUMSm5A9tBehmrk4Lh+0ujA3PnCZzB37c/rxMel1GzD69tLFX2StbqNY+Mpq/5bwQ2QAnYMJzgwt3Smg3PHkvgjidA53XqDWrX7VWXUDZ7X7cMO546nkCJcl1Z93Zatqxs5uPX40EPuw6Gv/QQB9QDb6L+CUIltpQRhWAzuQYfqoY3tX3IDfn185dksfnJongfuGu5qt5wpeU3BmhFGUibo0PmttKbsq7pAQdUPmCm7eIHmZKHa1m+ytaAax5BkEyaJnvZp8ZU8OF+k7AaMpR0mMgl81WzTrHgBk+VqmB2t5SESlmS62Jw7yDIEI0mrr+CGfsf2333HX/KJf/l87G+tSnrn3/CdPksHUwhSQlCMMc55MSnP1yMuueVm5ssuP/j1ATJf+BSFy+4Fl9xzWWWt2vz/u0+C//vcsi9PT0w0/S16XB0WCwV40mNgfg5ME//lr8B82rOXvmFc0a3Hjh8n98kPojJZCk/7Q4Qz3LXIZ99zC1c5CTanMihgv+/xc7f5G//C5/6XB/3O/fjeddfXj33ly19aur4t+MkPv0c18Al0aOvT6LqKYfJ73wL6nBeAY8cmGR4fa/utWA0DO4wVsnvPoLjoAQY4o6E0rJZGxoaMw8HZUl1FuFr2SVkS1w+FTRYqAZsyFrtGRutzdLT2vmRTmoRlMF3yGE6aVLvs1Sef+lzGbttD5rrvxK5rG4ePA5/4apca9z9OJS2jo3q80ppLJzIcmlscy396OM89t2QYS5orGtcSVkgQFiL0v1iGxKzt9YWAfNXD1zpUcTdCJeMl7/eZb7PtCQ/CqIaBKp3a0duwAf8Tn2NM0xRAkzAFShuYMly/GlLUCcSdUPQWVW0bcaLg1gmujiHYOZJkLGVy47FC23OMWrJODgY4NFvm0GyZtG1glSsIrdmyMUsmlySwLPQSdXIDzU0nitxUIyxfOpHhwo0WAsFY0sENAm6fbrejGFJwouDVFZ8LVb8j0X665HOfrTkS5uI63ZaSyZLXprbsBoqbYzIONGKy6DYRrPdOlRhKmHVS+ZH5CmMpi9951TVdycGNxzVw9Vc/wqdGt2I+8CHMlD22ZG0+99NDPPzSxSwEjeRjgJGkxVjaZrr2HEprEqbg5Q/czUgty3Q2GWZhmCm73HfHSN3OJ0WYybMRjU24b6rAjtE0tiHqP3R7nUJAJNodqMWxTQiBWRtz+g0MGGCAAQYYoDfcfRkDAwwwALBoxImIXklLEmiNu4xo/kasJVky0BDUHBHJmvKGrzQJS1CpE317MzhqQuKOY8o1dyjblqTsLu8eSisOzJcpNTjBTCnYPZLiG7cc73Ll+sbAhrgKOEM2Sq3VbCTMt8L4wtcB0H/zStR3vwOBD8kkxns+QOKSS9lYqPKYZzyFjYf3dix/59+/ksB2OPzF77eVb0rBB76/nxMLLpaEf/7GXh536QT32D4Um+50JWhUzF4LaDSGXIYSuQrV3fbP9p+22jEECctoio6PUPICjubLjCQtlIbD8xUCrZEStmZTfd8rDqYB1mlSDj5VGE9bzJY8Ag1usNjOC298JzsfdWVfZIFDn/x6D2ctbyAZjOGdkbQX5/yliPxnCqQQnD3a+TuO+uWxfLUzmejuiIZXPzG/+ms2DXiiv6CPlTqBzxREhJjVCIJcKcZSFjOnmhy8QiQsyVDSqquHR9wdpTSWeSoyBoRBFiNpG18pHNNgpqb64piSLSOJMCuMEJiGUU9DXaj4+EpT8RV+oMglLAxJXeF4rZCxDdxA1QJEJAsVj9El3rsUAkPCrbWsDinLoOwFqzq/6tMQxVj1A9Cinm5yJVgPyVKEoElpFdpXTg/5xL+hP/FvfPg9X4/9fb1hqbS2AAsVn/F0qM4020H5/MR//g87H3Vlz/fVtf/lqwGmhNwLngks3V6RdSf7qAdx+PMhcTDnmGgz3NsJEaqnnur1lqd0fU/kGIKyr5nI2T0RhMdSZtf9jF9TCusHn/2b99X/naqRayEk7xaC5rXZvf7n3UBvfVUAEkJl00ym7feoDXpaXvT4cRydnsULNJlMJlxjChhyDHYMJzi2UG0qSxKe4JgSJ9Bt1sBItSr8r2A4YZKoeaQTZjjuttZPEK6XBCGBwpACyxCcbFFDzzoG6bQFGqZLXpOaXCsaSSoVX7F7tNEtI9qyToQIgw6zjsVU0UUAt08X6uTsE4UqharP7pF00zP7WjFdbP9ubSMkhoy0zE9TDef2Mj4sB6ZXI7XEFN96TFnt2SWWgoBlaD73h7UeYfxAMVN0OWvHRsSfvpRxpSn7QT1VtebUiwSk//4NFJdJELae9wISpsQLVN3+p1BN2T3Cb61GHBZQuP5HqD9+fnNBvkf1zW+g+uY3wNnnk/705zveU4rmNtLAsYIbEn5e/nTSJ440nT/26f8OybeXX4H3jn9vHqJ+9Uum//jZfGPjVmwhkA1lFrXm/YV5Pl5aHKdv+MlPuOmmm7jkkksAKBb7D/aquC57p0uMp62m7xJg0wf/o+/yAIJvfhWe/qxlXdsLBgThAQZYe2gdqnWuFlJ2Owk2tJs0r0Xi1qpKU/dRmi0TeBRspLWuryfEG99G4bvfJP3618ZmjXS37+LYuz8KMZmlIv9RsIyMJaEdI67RBN+6fYYH7B5mPGUx2bAeuvFogUs2pZnI2ARL7KPHUxZpxwxJwFLW142BVmxK2+yZDNdrnTJXjqUsJmPWap1w+AvfR1z7Tba/6bVtvykEh971YTjnfIgps+Kr2ODKkaTJbAeCd6WHLEbVQHPbVLxvadgUfPOmZhuoZQgumcjwoxsPc/BEjVh760kgXHc/77EXs3nzEF6gmSy4lJbw199yssDVu0frfdmUklzCZKFlPV71FZsyJgU3iPVnRThvPMmGtMWdc2XOG2tWes7YJrNlrynwbqm409GUhVkO9yrRqYLmLGdlX2MZipETh+q/L4Vor/P7H3sj77r4Cnyt+fmesB0b7XSttlAhREjgje7tKR64a4TxdPjtNfb4TdlE07Vx+zyjIZjynA3Z+vFWIvFSMGRYfpRxWdfuNyAIDzDAAAOsDQYE4QEGuBsjWmzBosO06imkpLaRW1650WLxVPgiq74iaUlUfdOpawop/W0aA6XXnMDTZ5WaIIVk51CKyWKFSqAQCLKOgW0Y/PiOmaULWKc4HQ7rtUCnjf4pwRnShIHSJK3QnB6lienkENXAvpkSvOLvGH/tPzFT8ticTTCUdvADTfYvXkSmRg7upjRluFW2PeFq9n3uu9x8oogUoKselhScWAgde5uHkoxlbL706+P85sg8z77/zlV9n2ePpfom7/YDLwidfP1SSTRweGHpNE6tGE1ZzJU9ql2MKXMVn2qgmt7vXNlnNOmTMNrTZ/cKU4YpwFxfUV7LRu0Ja/vhLVTaI9lHahHclQvvQeKW3/SUni1wkhDjxL+74HTYkSJDW2NAkCI0gnpnOEnYD3STgkIn5JxgQBBuwErXOt2+9Ygo8Ocv+3BfZcp1T11bHcxXfMbSFgtlb9WUdpaDOAf/WmA4YbIpm2DPZKHhWBiw4wUKQ4q2IFBZE/ew5OI+yBDgWAajaRsrjoRyigWohRBszCUBTTZhIkSkCSqaCEWyRkbNpWzaqWGQTpjcb5dBoeKxf6ZE1jHxlSZf9Ulakkot6DRy+FhSYBoCpWkKJI2cMZGyZM4xsc1QodELQidLtAZa6kvzlSaVMKnWgoHuKmPn0XwV11fsGE5iG5Jkiwpofzj945XOF7oqrTYeu+Ylj+TD7/l6X88qRahwVfVVm9Ln6cZU0V2S9KmEQNZSivaCE38apg72VY2w2Ud9jMoi2coNmh3uI0kLtwOReSXo9kYaA26i9Mr99tihhMlo0qbiK47lF4nFRz7z7Z4DA6P1QGFie/PBhgtbFezv8f0v9llT2PaMx8QG4K4W/ustf8dXPv6fsb899QV/ytP+9DXsHkmweyQRew7Ez7m7RlKkre5rWFMKEJpuXAildRtBOF8NoBowlOjPxbJQ9blzttSVpBCh6muqfu2+ot3+tHs03bP9NWEZLFR8qjEEnU7I2Ab33Zqt33+5o5SyLLbmHAKl2Zpzmn6zTUHaXiS1733aC7jiX/66r/LnlaJyBtsY/UBxfL4CWpCs7bkas+NFiIQyTiVGf30rM5de0N9FZ5+P/dK/oOKrpvXa0YVKU1p3CAMsqoEm/an/ZvyD7wS6jHt37KF4v8tIX/+r2J9tQ7Z9IyfyLg995tX1MuPKTvzyBuyr78uhr/woPPDj77Hz719JxrTabFgCyArBn2WHucpJ8Kezi1n97nefe1KofdcTLerJvSCdHepYS+kub47Ts7NdflxWke3F6PUR1DXAAHdFaL2YjXT5e6p25BIm+Wr8OiRhSmxThvvjQOEFHbKv1r770ZSFFDBX9uIzp15xNdNfuo4MAeJr/4c4cRx1/wciLr6UfANxNecYGFLW99qzZa/uT+oXnfYwNx7L42v43r652N9vOlHECxQ7hhNd92Zb6xkjQ4SuinABLhBcMpHjwGwJ25SMJCz2t2SFXY5/xHrYIzh49cPrf/dqa8pXg1iBrIIbtK01NHDrZImMbbBzOMGxfLVvn/lZY0lcN+ChF21ioeRy+4kCJddn52iKStVfJAc34PeuPoeyY9cVbwWwOWuTtg0MCdNFv03R2FPw3788xrMu30ygNEprsnY7QbjiK6QQ7B5x2Ji2+PmRfFt/vmA8xfZhp/7OTxYrbEonQvuTEKQsk3PHMsxWXI7nw6A31WHdOZwwqQaqHoy3YzjBnbUA0g0ZG19pSm5AoMOg0Qf+40vrz9wronMnvDz+6DiFss/WkST5oss5Y0kSlsH2oQSPvmADExmHPZNFAq25cFOOmdI0tiE5ezzNTMlvum9E+m3cShoynqwbJSiNiL1ShP675awHGhWFBxhggAEGWFsMCMIDDHA3xqI9UZOv+PXNgFJgSTBrUf6+qhGzapuziq+6Roeb8tQp5SndGMkaEhADpfu+f6hALDtLmq4CVirWJoVgUybZclRzdK66soJPI17/f7eQS1nEmRh05OUCAq1DQrsOFVMncg5//ZiLms4/nSmFg5Wwv1eKM2Tj5Ibh3vW/G7+HqVJlceeoWyOUQ2LGkYUKRxYqTGQcEj/9Sc/RtEa1jDe/gBdIbENwr92jZG2Dcyey3LBvloWKx42H5rl0W45fH17gjV++lRdffRYJZ2VLJNsQXLgx29XBuFowohDbvq6h7xSwUoSGuW4+NylgOGlRiDEw7pspsSnrMJaw+zKCJSyBUmEf6jf440xFLmEy05JirOqrkDj0L+9n84uein3gQNf0bIFtc/gL165tRde5//VUV6+Ts9YP9JKp2+5KWOfd4pSjsT0KTppctX8lqU5t6gnZNzkYYBVEPc8YzJU8HFPinab5YyxlceGm3Jreo1D1UUpjSsnm4QTbhpMIQU3tMGTz+oFCSoHrqVAJR2ukFHV1YFhcF5iGrKW/XG/jlkD2PJbGkCqEZDztMJay2T6SxpCCGw/P4vqCubKPIUIlyaGERAOur+oOs5GkSdXXJExJwfUxpMA2wiDVhaoPfW7HhIDRlE3Z9ducV6uN0zUmV3zFbVPheGcbvSYUj8NqPsHyynr6Xz4Z6E3lFuAxb/gTbvvnD/Zc/nDSZKbkN6X77LWnB3ptA53HUmGAmhB0dD4f+ur1PRFZw+A1B/exTwJg/K9e3Fdd6n2oUIgNgJste3VyQgRDCOYJ1XSTlgzT+j7lGeQ+8/G+7h3YNinLIGVLim6AVcsRbMlwfJBCUPICyp7CMXqbZG3TCJWpJKAFgdZkbKMpLW7+8ivJ/vInSwYLAXz4dd3XA+Npiy1DDtkaCbNfcjaAdLsPdj1xMzuc8wf33kkQdCY4fOr97+R/P/zvfPpnBzpufcdSFnMtKmgCSJrdI1sE4T42RlitJyylFt8JSrerHS+F1jbeNZLq0O7xb9fuoX+2FidbOotoOK+fPvTt576G4wvxfWg4YTapL5vn3Ycr+rhHRSk+Ueqe4nmlWE1SViuU0hybq6y7IJFGZH5xC4WnPRFu31M/1lrb+rt6xjWk//LVxJ/Y4Y0WCkuTgyO4LsUnPorkl7/R9lNcC0bk4E7lRselCtj2hAdx+AvfZ+ffvxK07roeFkJwpZ3gldlh3pKfAyBoUGv/y1e9hq9+5ctLPU0THvUHfxj7JELAwuOexPj739lXeQDmU59BwfPQWoekHx2OPxrYLZNLzi+9IFBhtq8BBhhg9eGr3s3+/czLWcck4xgEtSDZRlGDlG20rW2kCMUPLCmRspZhQQiGajbsXlDAYOiJT2G+Eu6pRy2JY0nmyz5px2C+7KNbVH/LnuqQZaE7Oq1LN2Xsjqq5EfZMlfGU5pyxZKzYgxBLZ3P0A9iaW8zCduHGHL86Nl//e6rokrENCjEL0Igg3YpswqxniBhOmh33Z8NJE0uG9opAaQKtSZoGJ32X0ZSFrzQLFR8v0OQSJlXfBw0lX7F3utwUWCiBrUMOo0mTHcMJFioBt0+XOJ53Y++dtg2OzlewDIkyBNqxOHv7MPfdmiFlGhw8vsBvJrLccXxx3faMR1yAyKaanlkDx/IuZ48l2Zyx2ZJ1cMxQqflre6br30TR9zlWqFD1FfmqjxShurMW4frKVxo3UKDDPj+eDvvsjccK9edMmIJzxpNNKsvTJY/hpI0jo4xaAikEY0mHISckfB9ZqJKx2yc/UwrmKosd5KJN6TpBWAP32ZrFV5pbJkvMVXyG9t4S25a94An/+EI+/o4vsm1zjmFLcuBkgU2jKZ5x+VachoD/q9J2fS374LM3YMrQvrZtuLHe4f/6gSFPuYbAAAMMMMAAK8SAIDzAAHdjRAturUPySuMC3FM0OdJ9tajK69QUkkwZ/leKcDMYkTxX4v5rRXSPCEs5v1aiouCtsSJlp4jClWAyf+aSgwFcpZkqxG8mu6FQXV/qWhnbApZOIzrAIhq/h/FUAimg7PvsnW5OSzRTcklZRl1RrfrnL8WhP4PX+c96NO996YewTcnVO4cYyziMJEx2jKb44e1T3Hw0z01HFrhwIsMtxwu86zv7eNiF41x59lhfznZBaATZPZpGwCkhB0uWN+4FCi7elOM3xxd6vkZpOhquco6JZQgWKl5Xo+CJfJWposv5Y6FTv5OzRQKOJUNlMG/9OsnWClPFzmnJE6ak9OHPcuz2PWz/o2chW9KsaWDub94ID3sEQ4TE4rVSOV/vdG3RN+1hJfc6vYEqy0Wgw6wEa5VKeC1w5tQ0RKOC8F8/62288wO9E6KiWKk3POW1vOp/34BR+95PZjfwj8/752XXaf0RP9cOgT61aW8vmciyayyN6ysWKh7ZhIWzht7yIFDMFTwUkdqGIGm3m3nMGiEoEeO8WDxnbeq43iCEqKufuIFiobavCDQUvYBii4pvqNzYrPArAr2ifacAXD/M/zCSNMO5ewkn5ZkE2xB1YmmEubK3LBOBFCH5rnXUCr/rmv0hskU0li8W1wHRONzrun5Dujndq6R3dVyAjYf3smeJW2Udk6Lrk3HM+t42Igc31nkpzJV9Upbs+myXTQzV7Ddw+3SRkhf0rOqjoW09mrJkPV3pcMJkQ8bh9s98mx1PeVj9nEYCYQQ/k+HIZ74NhHsK58C+3irRAvuX1+M+8P+1HTelYEPaQSnNwfkSVV8zmjQRIvx2o+83+eJXkPvMx3tW5gU4/PGvIvzFMqI8LHlgPBOmZN05nOJEoYrWiofsHiLQAkXolDZqDmURlSjgh3fO8WPmeMwF4+wcTXHLiTyzLQrI3j+/m4VX/Rm5G66r1yWubT/zuvdDi1Jl6zseTpikbSM2vXCvCMm2krKvyDlGffxsvKfW8XUEOHc83CdbUuJrXbchPvoe3cnBEQLP4xlXnctHf3R77O8LFY+kZYSqvjUYPQaWLCfotl6vZS408tWg3p79wvNcSvkFVHoDWNmYM+LrVHSXnmt6GX+CZBqj3FvQW1Ta8cuu6nhOa3/VwNTETsaPH+jpHj7w+VL/QXjrBYWqH0sOXk+WEA2kP/l5ILTn7T1wHE9pNv3VCzEnT2LmhrE/9N+kJyaaKt46P8XOPwK2PfNx0T97w8EDsSe3tdlNN/YcEBGKDFQZr6Vv72XPJITgyakMb8/PtSWyv+qq+5PNDZFfmI+9thVSSv785a/ANAxAsyGVWFQ9FoKT1zwP3v/OnonzUVsUnSRzsx0yiAmxKv1sPfXVAQa4K0H3Yc+445prKH/nu/W/E/e7H+d8+lNdr2n1sVkSLEPGqoWGmXU01YbRLpcwcftcx8xXfMZSFm6gKLpBfV/RbT/sqXCt1s+ay6tls5RC1NtwuuRxx0xvGRX3zYSBOxduSIcE0xrGUhb5qo+vFQa9synj1lcFN8xC0ZhRYjgZtmkUlDxX9gh0uC+eayTuxsxR24cSpCyDtG22ZSAwDQgI9yVF12dT1qZaCyBfqAb8IkZVF0Lb/5H5KvfcnKHkBpgSLtyQ4vLNGXylOZp3OZF36+q+G9M2+2fLVPyAlCXZOZwg6xjsHE0xU/I4a9swr372fbENQankcmCyxEklYn0XGzM223NOfe0Q2d0fce4oJV+RNA0CpZhq2EfbhmxSGtZah6rWAirB4r7+HhOheu6vjxeo+JrDC1VGGjKCZByDA7NFDBEGmY6nbbK2hRSCqZLHd+6YJWFJrtiWbcrUDNQXOxnbwFeatG3wuxeOAyERv+IrNOG3UKgGywrcjGB64bOPpiwecvYYlz/sHI4tVJvIwfW2iNqo9lvjPTupBA8wwAADDHDXw4AgPMAAd1M07keU0n05zqPNRbQhC9B4DUvghCnqjoHlwjbCMjxf19PIVH21psrEgWp2dq02DLH6ehO/OtybkfGuBneNydz9YqXpw+8usA2BIUUsWV5pSFsWYymrKUpZ6XBDnrTCtFbZG67r+75GEPAPT7oQN9B889ZJnnzvrSxUA8ZSFv/vog1MDCf53q2THJwtsylrcyLv8u1bpvjtkTzPf9CuerrYbrjHphyqZqw5lSKF0gC1TB+vWoYjs/GSsZRVj0Jf6JCSLA6B0tw8mSdlGewaTjU5XQwRkpgCtTLizalEympmVCmt6qoscZo6S/mYouu8IMA2RH0uNWWYetM2BWUvwNl1Die/cX3TtYHS+BGjsGZcHE1ZdRLN6s+hg7EvQuI0pHpdDYSOaIVjrN62cFPGYVOmOW3wnsl8T2NpLzjTel1TfTOZNoLPUvj3R/4Jx7eezyuWoRTcCT2KG95lsFZBEnHYPpICBLZpMJ5ZW8at1pojc+V6sMaZ9m2cyei1rTudpzR1Als0d/SaHvRMQNxzLNfZpLRgptR/QGkcklb/3+RD3vmavs7vdcefr/okLYlthFlOWtus10AOU4bKs3HHx1MWm7IhuUgIza8aVJpWy/e3YzgVqmdlMhz82k/gx99jx9+/sumcIJXm8Ge/03Ss4AZkUxlYmOv7nu65l8Qej4LYEZIdwylunyoipGizS5U9xcwTn87o5z/RkzKvPzQSzt8xL1YTEm9TloHnh5lwAqXrgQgGocrwIhb/fZ9tWZSCyaJLyjY4GRM4rTXMvv7tzBIqLqd+84ume3/72X/B4ase0bH+rc+20veuoU5m7UZm7PQN2DL8BjdlTOarLnfOlikUClQrpQ5XtKPShQQqhGgiB0f19JXCNpZWEV4KhoCRlFl/wPpz6pDMEcExJAiaCTMi+k8Y0NAorJBxDDylY/uYrzRDNbKC1pobr/8Bn3jfO/n1T65DGiYq8Nm8fRfPeNHLeehjn4jlJGtV0oylrFD4oVZuwpJ4gSZhGvU9aeuYJYALNqSYLC3u7x1DsGMogQb21Ug1ez/9Lc5/3FU9KYcDHLv8AWwbcuoEitZryl67UePOd3+M0ac8EKk7B2koralozZ/NTjKvO6/3du7a1aWWpx/HFsocW6iEmRIaXkjKlmxKJ+pBL+F4Hgp3hAjfYBgj1txKWmsMuWibt01ZOztqT1H/W0dl6bCY9n1tc0+RQnDB7gkqviL5uS+HAfK1S1y/89jQCbPlgIlqb4StRky97c2IF7+i6ZinAkYj9Xsg9Vd/3He5qWu/2df5AnhuOscHiosB+EopDkyXect/fJQXP/3xPZXzvFf/E4Yha6Sv9l4vhSBwkhh9tFV1286uL0Dr5aUCb8U6Fr8eYJ0gIrr20lXOFI5ar2T9RvT7vfXybd104UVhho0WVK6/npu270COj3PRL3/R9nvcuiMSjep1L+IuU5Qi8v04Rrhm7sVcmDBlX4FuVV/xtdtm+q5bIw7OVfGV5tKJDMnaOiqq+3zZZzRp91xWoEKBlVYfiiEFCVOStkM152aidIAhQtXjshfUg/NS1qLCsyBUdoZQxKizAIRguujhmOH+qFi3R4RZULq9gos2pii1tH3FVwwlTDamLTamw3nXDzQzJY+0JSl6ipIXkncvnRjBCxSmlNx4LM/ukSRW0mTK0xzxNFprtg87WFJydKFKxVdkbIOLN6biqkPFV0jANiDfsu5ozDqlgZNFn5tPhvuHrGNwv+3Z+pplJGly2eYMhqC+3oZwbV7xglA0rWZxOzxfQYgKOcfii7dMojQE7uLerxGzZY9NWZuFil8jNftUfIUQYMtoFQbbhhLccrLYt524+YEFz7rXFi7dnKsHRp49Hm/jl4T2YCGorykHGGCAAQa4+2FAEB5ggLspGlU93ECRsmSbUbh1U1DyAqq+QojwF1NIjJgcxRVfdUyzvRQsQyBFaPSKrm8tJ2FKqn73TctyUfEVlgw3w6sF2xCYNZJXRHZuxXKf5erzNvA754wTmSSEgEzCIO0sGkPr/41Z8IuGfymtqTZIntYVlzrULjIiiAZ1psZNRevGqOwGTBWqbZtUXUtrFqU462Vjst6UDo/kB+rBvcA0BCW388flK81EJslwwuKOmRJjtZRHhapPyVMIYJj+NsvRWJaxw2jsh120kaqn2JixyVgGhhA87pIM42mL6/fNcHi2wkLFp+wpji9U+acv7eGPHryLoZSNhqaobkPA5qzDWDqBX7NknUqjeBhIIeqGin5xYK53R2wExxSYhokXqCYi93JQ8gIOLpTYlk1iSIljCqq+JjgDVFgTpsElG8OU8a2vvBoE7J3u5LjuQ+mgqpoUm72a4a4aNBvkokj4kh8qL+yZjH+vgmbHdSOCWjR749wvCAnvWcfkSIdUsOudjXaqZgrHFLEp5xrhK41lLK1pbBiCoLEsEe9kXS04S5AlloPYGJ71NW2fUpgtbNyXPf+9vPMDL+6JUFE1TG6+4H6rXidD3M0YwmuMCzdl2DacClXHelQqXB5Cj6qnFLNFl2K1+WO7G39my8apVJpfCitR9TwTIFYaQXwKMZq2yDrhmmnzgduWV8jxO2Ho/K6nlD1F2XNDUmsLet3uZh2DQkygXtKSnCy6pGwTxzDqikBBn97HpV5Z0Jp+/aoHc/BrPyHrLKq4Oh28/sf+4S3sfOEzeqtII1qUchtxaL5M1jaZLIZr106Pmf/jP8OYm2Ho2q93Veb1c8Mc+eTXulbn4GyZlG1iyPCd9kr2N4SgEgS4Adx8op3U0Yqpt74XgGqg+NGBHrLAxCw0GjPBKCGRWvU1ChYvv7L+77ig7U4EeUPABRuyNVsfzFXdOvH/jx9+zz5qEOI5v3MBH7nu1rbjtiFxg/ax1IyxWzZCE094boUUgtnS0oGxWcdACMFCpfO5oykLN9AUaoHLFa87wcbzXN79/72Un133HarlcL+nas965M47eOfrX82H3/U2Xv/BzzK2aQtAG+GmVfEZQgJEq3rgxozNDYcXAwr+6IptBEpT9RXXHVgUKbjzD1/DI//rjR3XtNGt50c28PUXvg7mO2dAG21RnTekYEPa4tBXr2fb4x+E4bZcqzUecLNX5S0Lc9zud//mbr19f9ffTzccU8ZmahLCZLFbhC1qSNGgCtjYb5v7sGWIpn1Zpc3QHZUX7d/Cv5N29+/FlKHt2Q/ANgxso7P9Py4LYFxfOThX4cIOv3XFRz/M/j94UdOh1kxMmS4E806Ip+d2x0MSyTpBuOz6HK/19yse8CBe+a8f4q2veB66C4n9OX/xtzzyqdd0NbFIAYe/cC07HnVlvZ6dEMWNH3//pxgiHA+M2rszhcRXimqgUVrXBE1Whsiuv87M9QOsA2gdzkWB6s2E2GuwXS9YzbJOJzp9Vkfe9CZm3/2eJa9XU1PcdM65XLK3OQPDUMLi3LE0M2W3zcbv9xjgv9Jg7GqgGUtbTC+xdh5PWWj62zNXfYUpYKUm1aMLLpvSHsPJZvvpQsXriyAMsHMkVc/maAjYNpQkbRnkLZ9D8/H+xbRjcrLgNvXlqh9mhHEMye6RdC3Dr0bpUBU+blm7UPXqfq1NWRuUZihpUfJUU2BYKwwBu0YSbXN9XObDDVkL0xBszNo4pqyvGQTwxVum6+dF2Xq2Djn1teqhuXDelMBZo0l2DHdu22jtma8GDCdN5sp+/XtPWTIkM2u46WSxvi/bnLUZSZgkTMmJos+tJ4vkq2FWp4s2ptlsG5TcMMgoX/GI69qOKfn8zZP1vzttHwKlqXiq3mbRd6I1ZBMW1Zri8aa0yfDOIXzTwlpiLdsJ2Uc8nLO2DnU9x6zZAgZz9AADDDDAADAgCA8wwN0WioZUUxW/J9XcmZLL8cKiUXb3aJJUB0N72eufJNx8fuedW8VXdSLZasOxJOUuBMa+yqopOlT9tVBtDGEasi0d8EQu2UZGWS/YPhof9bkc7J9cP+kD+02ltKo4gyxdgVpUBHcDhSnjv+ORpMWlE7n6xn7fTPiuIwM39G+s//6d83iBwvcCfM/HTtpcvjnD9uEkcxWfszdk+MWBOW49lmdD1qbsLSo4/ef37uQRF2/k6gs2MFPyyCXMekqj2YpPxglOOdlKiihV4/I7wNljaQpVnztmeicKS8JnXi24vuJEscrWbAIvCJ1TVV+RMGWsIWY9oVPLr6atxTYktCWqjAIrBNNlnzumSz3NtRqYXUb68tYU4WcS1iaUaBGRQkOv65GlSMRALIHGNkUTSfiu4uS4u6BtdshkeM3T3sobP/lXXUlJZcPhlS99/5rUaWAUXl3sHE0vST5aKapewGS+ShDozmFBg/d6RuNUKl0P0B0zRa/utLzKXJ7ZVGTGGU/3voaKI5SmbaO2d+r8cZfcAKWp3at5Nsk6Jm6gODRfxgs0GccgUUsnagrBQssaUwBjabupjLjgzkZi/W9P5LlsYiiWBBY9f74SAJqsY9RSnQq8QGGcf0FfeztNaMeKym0lNQIsVPwmUmY3csPcq1/P3Ktfz9bffwRmfr5pDlbSYPqjn6c0trFrnWxDUA001fLi++vV9pOxjSVVrbXWbaRB25DcZ1sWCN9F2VfMlT1OFlzcQLMlZ7Mt5zCcMlvUi2kiDU994ONsfN4f9FTX6Imqb383mdq/4wganZ480PDbk/nY3yKyaz8oF+IJ0qMpi40ZBwHMVTw8pVmo+FSCgNQS37Ihl5av63X9bUjRNU02hPuCqA9HpJzWbEqNeNdrX8bPf/BtqpV45dBKuYR7/Aivfe4TeNunvs3OibFlq9K3Znz6/v4Zbo0JQj1236v5zPaz+b3XvyA2wbYGFh79BD73uy9Z8p6tWbkaVecPf/H7AGx51mMxp6bCg0Jwg2nwihOHlyx7cja+760nbMoluflE/vSosLbeM7YO4UHLEPhBs4yErzRFz1skvxCSpvwgVCaRYlH5WCBI2e3j3nIIqppQpXe1sZy9thCCTMMzHG8gwwvgvlc/gg//8Fb+511v4duf/Vj9OzYtiwc/6gm8+P97PSNjGxCEpC9PRJYMjdah6rjWmpGkyXjaQdx4Cwv3vDC2Lo3U8YNf+wkQBrhvy7XY44Xmtyfy4Xy8xvuYAe5+6JcUPED/OPTKVzH/iU/0fkG1yh3PfBZnf+y/F4/pMNBjcybJjqFkfQ7ShEHJt5xcOoANatkUV/CiF8pex4CSTVmH4YSFISRzFRfob20zkXU43En0og/MlF2Gk8mmY0Uv6DuLrlKwLZcgQDPs2HURpOGkHUsQTlqSkuu3fUejKYuZss+mrFMvI9ACywgFLMKAOVEXjRIIClUfq+YzPpF32Zi2EQikELEBqwAZW3L1WSNt635DCopu81pXCpr86lVf4QlwTINfHM2TMAVDCYuEFRKHbUMyGZdBBdias2ODubWGnx5e4JLNGVK1fa3SGtsIy/OUYrLg4in4+ZF8fW1yzliSbTmbY3mX4wWPlBUGZu0YTnCi4FJ0A67dN8uFG9KkbBkrHmZKwVf3tCtSd1Lbzlf92DXFbNlD1Oq94CqkEHzsDf/Dc1/55NhyOiHa1p31vvfF/i5FuJ6WA2LwAAMMMMAALRgQhAcY4G6KuoqA1m0p+Dqh4venalT2VM8bRFOKNiP0acEqVCEktuk1ITAPsIiC55E2zZ5THt1Voc+gxw+/ifC7EICnNUkrVNd2A10fKwLVrEB51miaX9eiq7VhIGJUgTohuuPBudDIsn04wUXbh7BNwS+PFvjuvjlGUiZJQzA2nOT3rtxOvuTyrZtO1P2DKVtiOFbdGNLodK4CB+fK7BxOERrvaw6QM6Bf+gEkTJNLJ3JUfcWeqXjD33DCxDQEStPRYLRcJC2D2bKHIcBTuq7OvG0oyZCzjompp+r1ikVSvRSCO2crnCy6GEJwLL866baXwtGF6ooIqTnHIGsZzLsBWUvis6gUcKbDlGJZ2RL6RauC8N19dbHesggshbhhszAxwZ++/KM87tr/5hG/+nrTb54w+PPnvQsymfYLVwnrYck9QG+ICDOFqt9bkMEAZyy0Dh19c2Vv3aZpXsl+fflLyNPXGOMpi9lnPp9N7317/xdnMssm50HYH4pusKRKlvOxD7D1o//ZtjR1t+3k6Ps/1XSsUA3qhMRcot0cLAVMFZdeX7bGIt82lY8dnxqfX4rw/q22J3X1I+sqvkspIQIcett/QK3ciOzcDb30niOf/kbs8VQPqaUSpkGg/CZeaRsptwPybtCWqrcXCCDbQLDL2JINKZNzxpL1CV4IgVKaqW4k1S27UYaBDIKe2r58zvlNZOX1thozBMxXfLZmkwghmMiYuEFA1jYxhcA2BZKwbdxait9G+IEiZQu82rpbi+aMWxA618drwZOiRnp0lWojA8+VfTZm7PqY6beli44fT6uBYiRp4itdCxQNg0d+/ctf8PPvfbMjObheZhAwPzPFNz75IZ770j/v3mAtSFkGvlJYhmzLSFPs8h0UJrbzkfeEa9nHf/wtZPfchDc6yuRr3gQTEyER5fal03u3Nkfcer/4ma/X7QUA24D/KhT4o4dcjOe1j7e7zzqLm/fcseS91wOSlsFZY2n2TjULIazlDJi0JegwkD9oGcMjwYvGithmOK601qniBcyWvaZ303ZxA9K2QdKU9Q/M/o938rBPfWRZz6DtRNsxKQhJyMtsvEaCbT/jXKG2eHvW81/cdNw2JOeMpWEszZa/fSNveMvbWah6nGiw52ioqzB2y9R18cYsESc6/YtbKH7p8/C61zSdI4Tgzrf+O1xyz/oxFaNcHBGvTuSr7BxduYt4oEw4QJgZMiQGr9e9zJmKuObsixxcQ/n736//2w9UfR1q1Wz+oWiHRkrC4IGlY6eAUFV1JbZRT8FoyqyPg4aAjRmH4YTdtB6wjP4HmfGMtSoE4cmix1mjybbjhhQ9qy2bhuDwfIlqoNiWTTY9W8ltn0MTpsGPDswjpeDCDSlMSU0pGLZkk4yn2hXyvSD0I9x4LN+WHSNlGVQDRdo2SNkGCxWf2YqHr3THwNYdw4nY/WjOMSl5zXUeTdlte8mkZfClWxeVgysthOCdwwkUMJo0mS17TJd87rstG+t/0sAPD87jBZpbThS599YMXgB3zlapBorNtYDZfbNVDs5VQoJ5xibjGCit0UKwdSjB3qkSScsgZUkOzFUwRPhuso7Jz47kSVuS8zem2ZIN1/IlN6DgKX51ND7gbKrkMZZs91ErDfeYyHHLiYUmFeu8G7BvusyGtM3NJ4s4huCs7eMoQoGJvnp5Jtd2KMwYsBL7ywADDDDAAHd1DAjCAwxwN4TSixvLuHSUcdBo5pahGrmUIq+UoFVoMO8mmqS0wg0UjmGg0BzL1wxmIkr9JfCUwg80tinZkLJrEfCaRo0bIURd+TMOZU/hmLLrOd0gCJVRT6ch5O6y9j8wWw4VYlIOQgg8FeAGuqasGRqmdI2wGZFEG38ThJt4Q4gw1aUUSARShhvt8Hhnp6NuTKd6d2n0VUT0HsreImE4inIOWrxDgYILN2a45WSBQ5/8Bjuf8rC+7nXH/R9BzgmdqIaAXx4tYBmChClxTMnxfBi5e/aYwf65KkMJk8dcvpXv/vYECUtyv/M2cKzoddxYl7yAWyYXjQTDSZPNmeQZQ2ILFDU1r1AFyzElbqBImEbozGwY+5OW7NlAuBTG04uGo6kWJ8h00WUkYa0Lo7Ihw5RdsDh3+jEpdVcb42mLnx7OcyLv4inFhrQdtpPWyFOo8FINNNuGHCB870lTcmA2dE53ej2mFIwnDO6cLHDspMt80aPiBQQaHnbZllNU87VH61h1KqFRTWQcKQXmKVYy7werORo6y3AKnE6ILlbZL139LL509bNOYW1C9Bv0N8DpgKbqqaVVg5svGaBPrHWT9TtazZQ8UpZBoNW6DDZdiVBfuG9af88Ui9qLy1iSw1c/nk3vfXvPRCHd8L+1hPnNL7P17a+v/91YNw3Yhw+w81FXMv2M51N4zh/1VGavdW5Vuy73YDvptKafe/XrSf36Z1gz0x3bOLo0f5+rmghPvWCtVwwLVZ+UZVDyGoizPd50tesm+rl5DYe+/CO2P+YqZO3jbr06ant34wQn37VI4ItLKXw6sW0owca0g5SibusJlAYtsROhHWAx4C4MUo7sEI3w3E5fweLxTZlmcogpYa7crmi8UPEZTVn4SpMwJI6pmuyMcWSSZlXs8N9zFZ+PvO89uG5v5BavWuVLH3sff/BHLyPrGEsKQtiGxBQBJS9Mqfzjg/McXWgmbxyZr5BzDBaWKGvPy/+OLdnmdNBFN2BLzlnsWwLOH0uRspv3LXunS2Qdo96HDQEH5qr1lr/k71/K8C2/ZrjlnhrY/9kvMf6oR3St22pgrcf1czZkOJGvku/RTr8Uyl5A0EAMDadhgW1KtIa5sovSYVCDKY2G68JrGgU/UraMVZQH2D9X6suGrrQO541Dd7Dzhc9YrF8fzxah8r52YnFrcE703vopPyLp9AqtNV+qhOTu/+8f3tr0mxSSmjmSLdlk7djy3nGgdZPacvpxT4THPbHtPGNyoclmF7d+i4rZP11k52iKlc5KPcTsDHAXxIAUfHpw873vs+xr53/1K5IXX8JMwV1c5wVRQBPMVVyO5SsoTU/rCFgdMZGyFzCUMLEMwVzZwwtUm19lOfcZclaHAlPywkyYraTbxgwIkVKriBzWOrTjVP2A2bLbJJZxhArbc2FQmxRw52x7poY9U8W6T+aHB+YZS1nsGklwxbZhfNVZPKHkBm1bgqQlqfqhXb5Y+71xT9dJyX88bcceny0vBmymbAMpIFCKjG1Q8YO6n3/JIHcR2kBmSh5njyUZSVocmq8ykrRIWqHfzpQCgeb6Q4tBqQvVgO/tn28adwpDDl6gOFEI66aBEwWXEzU9HFPA7tEU99qS4/O3TNavCzTcMV0O16GEgXG/OJLnF7VrLtyU4TfHC2wbcjg8X8WSoU+54mukAFPKjkJBSmsu3JTj5hPhvFz2FT85GO4bov5QDTTHCy7/829f5ukve2xj03REtG++5JabgIFa8AADDDDAAP1hQBAeYIC7IRZ5TZrpJRRiQoOg5uaYdIBTRY+kFeAYkpwTv1lwPRWrPGhK2DtdpOgFnD+ebjJGNkJpjUBzaL5MwQ1I2waB0h1TsKZsg4mMQ6AaFTkaN2pLWyuqviJpLS/y1ahFcvaaVnKAlSHaQK6Fu1kQRo8aQpC0DNK2UVOGhWI1VAnKOiZC0GYcOJXooUufEdCETjLHlEgBfu3Boo1/pKBDJtOzgT8677pn/QXUDFpjaRtDwpGG6PGUJdkxnKgr5cxXfOaBi88aQwPH+lT/miv7ZGyPoQ7j4npEoGD3SJLZildXN6r67U6LsheOj7YhOyrEWFKQTZgoHSolSWgiNjmGIOOYzJY6zz9lP6DiB9hG97S7pwKGFJROgUpsI8bTFlNFj0ecM0bSNJipeEyXqkgh+NKt02xOm6dMQRjg8HyzQzqMRheMJK22ekxkbG47MsdPjrcrUj/6ss0Uleas0SQzZW/J1LsrxhqPj72qRKw2lNbcNlVocvoNJUy2ZBcVlDQ15YF1Qho2pcCSOlSIR4MWdaNltFyLNWLqdpWqM23aW49qvV6XIIfIwdFq4BZE5KPe7tHTaWLtyVtnJjQn5iqnfO65O2Kt+99yPv+qH2C3KvetE6wkMKaXJ1p7CnG7ylLzvXVof1AalEKgCRCwZSvi6JEeSg9x3TNeHgag9vkaG59dEDMv1k5IfOGTbHzvP9fPi3uW6PSxj3+AYHiUyuOf0nROVL9GUm5r/E2j07lxbkjbBqoDWWBxTo9PVasb/1FznJ/4xFcYfu2fkfnpj2PfvwZmn/0iis96HrKhDNHJAdrSkGvdr1oVlVdz3o/tQj3GKAva32kcjn71x6Q/9B8Mf+KDbb8p4Ojb/xMuuQwD6g0ua3uBJmiNlKECXVMjdMu9HL3EPhtNCEkuYVL1VagMZllN2Yqayu903zUebSq+YrrosSWXCG0cUnB0YTF1tCEFW9NhWmgNHI5JK522DWbKPrdf/210HxEabrXCnptv4vLLLyciGneCF6i6qtlsyePyLVm0zjft8UJVwfa2dAzBjuEEILj6rBG8QLN/rtRErHQDzdEW5b6zR5NtanRzlYDjDfdsTDV+zUseuSj6EPMMx174AiZ37OCCH17X9VnXO0wpuefWYX6wb2pVyju8UG5q506B3rmEyfZcqmtZ3eKjdd/fL1Ao1MnBy1nx1INxdp8DS/g1Dv7Tv7Hzr1/WV/lfftPHefyrn7H0iTUEwPfLZT5z49Gezh92bIY32EgBXj1AQ9SHRNGSFl6IRVGFSkxwQyOkhF0jKYSoZTcjfj6OjhTcgGLVJ72CDF4D9eC7FyJScEQM7ge//tWNPPh3rqJSaZ/zXvjHL+bf3vmeVarlXRvq5MllXaeB2/7m9Zx447sQwKUTQ00+LVPCkYa1Sr4akLJCAmi3zCgrFUhJ2waOIZhpsBHPlb22oKzl3CfKyrcasIx2gvDJQoXZitd3cG++6uNrhSVCcm3CMprm7KRlsH+m+TuZLnlMlzwuGM8wkuw8Zmuaiblpy4CGNUCU2aURnZo2bRtUvM5ryYqv2vz0KcvgvLEUGs2X93Re05iCpme+Y3oxU0bjOnQ0aVENVFswUuOrGEkYnDuWwpBwYu9s7P08DT87kufR54+xfSjBoYa192jSJOuYbYT4XaMpflPzb5hScPZYkgOzFTZkHI4tVNmSczhZcBlOtKtLAxRdn7RlcfHGHLMVl4/88njbOQlTcsX2LFPzVd74uk/xqjc+C8NbJPDH7vczGS655WaAGmE59vYDDDDAAAMMEIsBQXiAAe5m0A2b96qnuqoABVpx88lCR7N5vuqTr4YpRSKCcJS2KlJeDTRtZNvIEeWYkkqgCHT7YKS1Ju96HFmoNC32l0yxachVI8NEaqb9wFeQtDpYXU8R1iEPZc2xFs8cbaY9QkJ6FBnbiLhjpxx3ISOsJiToR9lck5Zc/Ab14oMe/NpP2PGoK4HOjx/1ic+88t1NxwOl2wiNJU9x62SJbUMOVV/VI3hXQvyer/jk7MX0o2cCUpZF1rHYloObTrSrIEUoewrXV+QSBguVmDRTCbOeFlEQOpZzCTNMVeYpNN3TJkbYN1MklzDZku3urFprnOq3lzAltx4v4irF5rSNkRR4viLnGHiB5pHnjvKbE8WlC1pDBBqCQDNb9pjI2AjCuX2+4PLlnx+OvSaXMEgmTBYKLvtmyiTNUMW7U8DPamAtv70esk6vGQSwIeNwPL/obJ+v+MxXmknZ24cT5Oz1EahQDTSeCskF1+6dW1FZI0mT7cNOLAGonQYkYr/hHcPOIh9F1IJtRPNVuk4ka/qhfdEhdPNddHjKrZMlNKCU5pGXb226JOTO6Ka/WxH93Hpu6/nRT1FgnG45JkQLA0yDQvMfNxyql9043WngD++9NXQitNa5U2WXiyXKSllhgr3WhA3NdVkkkTe/bd3w/71xjxqHjMb2byoypkOtxUhjGv0PMppwnRNH4hkgHvYay521KmxesCGDscRe1VUBt0+t3jzfGvQ6lrJi12Ei7t8NY54mVCOSDd9j6zyrgaQRBlbphmPQrjobYShh1oPO4j7Tbs5oCDN39BpwVPYUV5813PH3mdkSr3r/9UCYCWnreIYH3nMbe//2gzztRY9CdiEYR3Uv5Ea543ceA1Nlbp8qdzh7EQ/aPdSm2CQEXbM3dSMHN5VTq9fG97yVAy0E4cY2my77/OpYe2BXhMu3ZBhO1Cw2WjPbpb3dQPPDA/NL1KwdV77uX7jv1iGK134H/vqvwK1CKgUf+DiZc84h23eJi9iabSYbdoOvAvbUvr9OQRoZW1JoUNJsdSRPlzzGUibTpe79suiGpItuwSC5hu+jjrj5iXCNFTRM6HFqr5YRpkFuvXbhmhexcM2LOle2ZTLt9F0GLW2cto3uNjyteePHv8prnv6ozufE4K3v/i+21ZQ4l7PeDwKF0qprxqie0eX21UCxf7aEAMZaUjc7pmQ4EWZpMSVMFaukHRN0OAYYQnCipu7nu+1Eqm6QUiK9EjMld8n2aV05ldyAe27OcO8tUPY1374jJFm0knK25Rwu3ZzG9RWBFiRNg4WKy/f2zXHVjhxDtTFjPqYf5hyDhCWbOrHbkt0iultEDu4W3AHgHzzI3t/7Pc757Ge7Pu96x1DSYlPG4UShts9bpXX3xrTN5myCXx1vt/OYItyXR5Ay/NQrPa5DR5L2Yn17gYYdtaxgyyUHA0w/709J9tJA976yL5GBwDAYP2s7Crr2vfo1WuNrzX/edCQUmpCtX5Vo3sQIsKQkUOEeLMxi2OE5dPPezuohft4xJMps9rLEkcMba3l0vsK5G5dPEB6oB9/1EWVnDNTyXV5PffIT+L8vfrHj7+/79/fywff9J8VlZDAdoHfIhTmgZrOaWuCCDVmUCsmWx2PG8pKnSNnxNJKhhEm+6ndUn10KOSckx85VAlp3v74OSY+NASpyGbPGamZ3jCurGuhlZf6xoqA6oOj5FN2AjGOgdLhHmCp5HWe4uarHcMLEDRS+CjN71Kce0Zz1cDhpslDx2xS+hxJmLfNvEGaS9DUTWRtLSkwjDCyRAk4WXMZTZl9iWIYM1+cCwaPPG+ffb2j2EyRMwZZcgpLXHBwWh4QZ2mbj9hMpSzKRDX15x/LVMJhZwWMvGKPgBnx/3xznj6fYMZIANDceKzBd8vjvGkn37LEkApgt+0yXPEZT7fNg467pztnF9fhUwWUiY3NwrsKDdw+3XWcZgqGESdkLSFsWgYacY3P17hGu3b9IYN4+5HCvrdkw0AbBcx6wi5Gf3sjNJwtYL38RG275JfWpXwgSV17JuZ/+VL1WA3LwAAMMMMAAy8GAIDzAAHczLK7lNXNd1BulgLwb9GiL1BRcj9mKR9kN8JUm64QpYQByjkXGNutO930zRQq1Rf1wwqTo+iworx756AaKk0V3STJw/PNpdESGWAHKniJhSnzanSfdIAjrP8AAAywfrX4Iq2aYuGxzjn0zRfLVgINf+wnbH30/ZAfGjwZ++u7PkMqOYfqqvsnvRvo/PF/FELAhbTWlfVoO8lWfmyfzjKYsNqQcTHlm7NYD1ZtxP9BhmtaxtIUX6DoBQdBM/o1ae2EZBt5Ah+SILSthBJwGrMSH55iSd3zzdvKVgLQtKVywkbzrs3Usg2mGiuYa2lSYTieOzxT5eYNxqxWPu9dWhBCU/DA9XNIyqPg+ZV8zlDAwpFjWfN8LlNYcmAvJOa0Ew+hYpAwvEGzK2B3opO3wVHPa1VMJIQSjCZvJottEBGnFobkKUGl6oi1DiTCYquVcTdhek0soMDWe30rObB2OG/+Mxl6tNWePJrhjpj+iQyNmy35XclIv2D7sYIoGZ23sa++kOrfEAUGNQOWtk4wS/dehXyWwtcLukcyqlWVIOFGodiUwXLY5h7+M4Wg1nU4hBGNZm1zK5HAf30rVVxyZKbFjPL3K9bnr4qKJHIfmliZxrhZ6+bKW62BdKXTcv2Mq3DQ8xI0VpqTX3bAASu76JAE87TGX4Jsmtm0gPJ8v/MfXeOxLH4/tdR5DJrecxZdf+96e75G2jdj3HReLEmH8z19YP6cXRGUlvvM1Kg+NJ2EuVVY/a52Vdt/01Q+FH/4cgIQleyaonUr0Yms6HevDXubuhCnJB2uz7l4uzrnw0r6v+cuXXMOPr/su//C2dy3rngtVnztmSpgytDO4gUIgSFoSQ4Z7g4l0AiGg4PlkLJO5qkfJDTOoJS2DaqBwTImjJMNJE9dXpCwDRTg0RoQ8IUIC5nzFZSxlIQSUXEW+6iOyoe3SV3DeeJaqr7jlZB7ZQDDUGgzLwa/2PlcFSnFnyeDIoTxJS3LuWJKkJZE1BfB62YAX01krvmLHcIJAa0aSJgvVgHNGE5w/vhi4O1f2kEIwVfKZq/jsmylzYC5cs/z44CIJ9ZyxeEW16aKHZYiwzTSMJK0wOApqJEvJhm99sSeCZr3eP/1Zj2eub+weTTFbDvdkFT9g70whDMiVoq7OvG+2Uku5HRKmrtw5RMpsZo9G7bYtl2As7XSMlhtKWk1BPElLUG5RqZ0qVZr27I2/KqXDtPBSMJaya781k2S1htmyiwIywfIyITXes/jwx+A89w9RmjZCz0TWwZLNBHT/FzdTvNdF9XLi9sIQBrdf97HvcudUiYPv+yZPfeHDu/Y/DSAEn3jrZ2HPDAK4+qzFtnQMQTVmP7ghbZG2Q2LdhrSzZPDYIrqtEEKUPYVlQKPgo4whCBtScI9NufpzeIHCWgbLaKAefNdGJDQUqJXZOv/iz17WlRwcIQgCMkmL/HoQZFlnWPrr7w1zj3h8/d9VX///7L13nCRHef//ruo0eWbjxb2gO+UcQIgkEEkkiYzByGCCjQF/zQ/b2MaAAdvgBLbJNhiQhckYTM4IEYQQAoSydKfLd3ubd3Zyh/r9UTOzk3dmd+9u7zSf1wt0O91dXV1dXfXUU5/n83D7ET1nb0g4LX0lhmgtkDMYsarBsG4QMByxCNCBRksJQaTCJoHSewXt9iC2psJN6vW9+l0MIbj1YHsBlF7Rqv07Zedqh7hjMpYIL64pFDAxwcDLn4P0XEbK553TcO+vvu6dzJxzKd99YBqvHGQSsSQvv3RzXflBzXxf8gIitlGnGBwoLTIxZFgsFP1qsOPZI60FWkq+YiC8SEL2AoWvFK6vmlR9gbo9sHsmmgOfDSl5cKY7u3b7YIR9s4vnRizJuriDFygOzRfqyrljPMOF66PaXpeCJ+5IaaK5gPGMx0RmsR9LoYPra0m/uRZKyfkWv9mGYDBicbC8N5PzAraldNCfFyhsUzKdKZEvBQxHbcKWxAt0e52/Ps6+uTx7ZgsMhk0u2hCr7plFbQNbCr513xT3T+dJ/tk/c866KBHb5PItKQYidjXziECTg0+S7cY++uijjz7WGPoE4T76eAhBKa1wC+B6AbmSdhr5QSVlHFW1it01JN6l4AUwX3ARLDqX08UaRZqcy+lDUaSEg3MFsjWG9VzBq6rjzOZdvKB7Qu76uEMyZBEEipIfYBsSS8qOGzaBgrCtHYWdFtaVWjhmjaer8eRGxbjydVJodZoTlXr8oYF+2z4UkHcDDFFWci5/T9sHohyazzOddznwTa3wtfElz8CYmkKgCJwwu67/CjfPlAe7jN586KTCVYv1cYdDq0i+nMm5hC2DlLM2VDyXgiFpqSrTCq3SSK02WqVCPJZoRfhcjhJALe+wgqZSWhR754E5smXHXLYUcPuhNBdsGyDv+eydKrIp4awpcrAChlMRLt1OS5KwIfRG5qGFxe9QoDeKp7IlQpYkd4zIwaAdnr8+PNn1+S+6cD1D4e6/VdsQFJbRP1YDGdfrSA6uRe1Zh1qkL65gOGodM7J2Be1SFB9vZIo+A+FjtxQWQpTt0ZPUXjlJq90Jqkw+cf2AhZLXFDB03rr4ssjBxw4CyzDYNBDi0Gz3JOFT8NWdWmjFSmmAISQXrk/iBoHe3CvbFIfmC3Vr7JVUYa1AoYlJS6kEL1nIKiHsmFx53noAxgbDGJZJECg+//MjWsn13zWx4Zq/+X0GJhfTiO+99EpufPlf9RSkPBK1OGc0SqBU02Z3p0eK3P3b7h+oBqPv/lv2tyEILwWlIO4YZIs+g1G9kdxqM1hj8VlOGwyzdza/JFn2mWcPsy7iLKtuq41uutNa+oZ6hWPKJsXjtYDv3DvBk88a7emaL37qE1zy8Efw7Be8ZNn39QJVkzVI1flA5/KZqiqzKZtTSlcwUKNi3k4NOmIbFH0o1mTZmcl7fHfXAWK2wXnrYgyETXbP5JnIlIjaBjuHQmWlRsWWix/Nnlu+j1Jdrr2liTu4Fb+8Xv/FwQVAr8F2TdcTMq7cnqLWNBdCp4Y+slBi31yhGpQ3ErPr1gnnro8xl/d4YCpHdhlEfseUOIbAMQS5kianhCyD/WWSccyRPPET7+m53P1/8Zds+cd/6Pm6tYTBqINAUPQDwqZW8hNoYtR9Uznunsg1XXPxpgRG4+hUfq8H0wUOpgs0LsFSIZOobZJwrDr/dcFVOKaozk2BUoxn/CWzQNmGZKjMLdKu9EXWiiHhgWl9feJ5T+qiFepRJfBKgwMf+19Yvx5ybsusCGOJcJNNL4Ug+qt7yD7uckinW47j2Y1buePfP4mjFI/amuSckQji1jspXX4BjekXFwnFgv/+4Leafq+ijVkwmXWrogTDEbtrFny3MZyiYcfDNCRuzTO4t95C4WMfJshkkWecifGXbyVbsEhFe/db9tWDT20ENXuJK8EHP/C+rs/1PI+vfuX/eOY11678xscBJ4vXp1LH/LUvaHm8nW0fD5nkSj6N1mMtMXah6LNQc4ZjSiKWFoQoeosE1MGIRdEL6jKZRO0W2TKA8UyB0weturYVordMdJ5SKxaAAbhwQ4zNCael/3o5PtTNiVDdutH7p79n6xc+U/273ZRwzfvfhGta/M97v1b9LecGTXsZtbvrFdt0MGIx26BK3Jj5oxOkWBSEGY7YzNcIjzmGIBE28ctCGpaUFH0fQwhyrs+6qEXOC8i7Pl75nFbYPhCi4AUkQyZuoPADxT0TWcKmZMdQmN3TeTYmnCZbtoLZvMf6eKgqQjaZLWjxmbzHhriFPZbglgNpBLB1IMSehmD8w+kSI1GLoq+qpN3phv4TMnVgYO3eoSlFkz9jXcxmNOqQc30dEC3g4HyB7YMRnnnWKJ/97TgFP+Cr906zLRXizJEw2ZKPsg0msi47BsPsm80zmXV56uYkRlnRGXT/sI1+cE4fffTRRx/LR58g3EcfDxGougW9YnKhRNiS7JrKMBCxyLlBbynBapBzfZbKFv/AdJbhqIVjSXylWi7k3EARtmRTGtQKGhc74wtFwqZBxDKxjS7ybJWRL3Xr2VAN/+10TvNv4bLizcngJOijj7WKRl+FH8CGRJhk2OLBGb0xcviTX6s/yQtgZnkR4hXl89XEofkC4SEDS4rVSWN6DFFYW+yokxKOYXDOSKKna5RS5H0PBbxhQ4Ijs3mOzhcYiNk8mNYTrCFgvuitqTlFKZjKuWBbPPb8DSRtg2LJI1NwGUqGObKgScB116DVBxBaEblV+uOTBieIALpQcjk4fwwUL4/ToywnLeBq43g86ol/yuVjLY0zqwWldMrdDfEwYwbcfkRvDMQcg/XxEEqtzTdmmxLHkhTXoIrmqYBe3nqFnFNh+Q5FLOIhC6VU1SZdLXiBDkStVZfdNhDht10GcZ1I9LpRNZV1GY5a+GWiXq/kxdUcr0ZSYV7y1HPqfttbVj3ylSJkAErwnb/9BIHrcfOuaUD7Ka40BfNe95mMJrMuvzmS4eKNLZTSOzxUL2qadViBamy4HNCVilhkij62IWjHVdcbloJLN8XZFHd47LYBvnnfJEc7bM7fMZ5h65mtFauOJ/TGdxfKll10OlEeI5ZCoYUqVV05PbzsEy3+b0hBxJKUfJ01RCmdPnkpDEdtprIlPv+bwzz/oo093fOvX/9qzrnqWkwBZ4zEm5TmKqi12GXlhy5QCcZrRw7uFlpdWFZJGgqqhJVMyefnB+brzp8reFXiwWlDYS669uUc+M1PcAtL2/+GZXP+034XaXS75VMfuSLQz/vD3Tr4s9079IKAH++dXVaw5O3jWQ7MFXjamUPYgFNWEa6Qg2vr0ut4l/7Up+AkJwhLKThtOMLRhSKBUszlPQbCFpmi15JENRyxcLpgaSoFOwYj1TaNOyam1Kp2tiGqQUkgykHSvb3bkh9w35SeM88YjmK1CJoGIJPpqdwKZn74SxaKfjmleIiQYYCA0ZjD7ulcNZtfp1pHb7yFuUKJo1/8IkNf+hSBHWbyuldhPfwRuL5iQ/k8W0LUsZjKlth8xz0Mx0PsevGLKfziVlCKwthWjn7wf7h/Kg8dArhlG3/BcMQi7mhFccc0sBuVexfNTYQCVf5bArLGv1LdtShPAKr8f6LhnpV9lsI/vRP/MzfUHfPvugP/S1/gYCJB9HvfxdqwgW7RVw8+9WFI7ZdfyTT4sY9+pOdrXvzC5/VVhDvBslCu2/Mc6ds2qZCJaWhxo0zBI0Db+jNtNncrZN6wpTMoCKGVeScy7W3mohfUEY5HohbzBa/lPebLQhKVLmZKHXBiGoK87xG1TIKygrUpBU6XBOGIZfCN+6aXPG8pPO3MIfKu31JdlnK9eyEtb7z31+SvfnXLY53eZ+WY5blc9yfP5NDXfoJtSAxZUQyuv3owYqGUPhaU9+JDlsQPlP6mA9UTubmOQN5Q0aKvMwXUv98itiF4+OYkl4+l6s5/cCbDQikg6/rM5FzGF0oUvIDD6aIm5xY9it5iEF++TCofiVrsm82TDLUmlQsgZpsYQuIFPtO5xXPybkDcNnjqmYPsny1wV4tgK9Dq1l4ACwW9/1L0dTaN2bxHzDZ4+OYEpqGPZ92AM0ciOC1MMD9Q5L2A/fN5pBAMhS3SRY/bj6RJOiZSwnzWq1Y8ZhvM5D1yblAVVAtbkos3xtk2tOgv6JOD++ijjz76WA30CcJ99HGKo1UqoFzRr6Ya2ToQwVMBe2ZXTjRZiiYzlXWxpCDqGJT8oKVzYThiY5s6nUbRD5jKFsm7AV6g2JwMs38uz5ZUmNl8iUzJJ0ChVPcbcccTeTfoSHjuo49VwanI4lkCSkHYNDlnNM7umcyyFF7bYTrnMhK1mcwuL+1hO+ya1hslZw5HMWX3AQ3tcKxGPFsajEZtJlb5+ftYGvtrFCI3DITZMBAmUPBgeg7Qc3lmDZNpsyV/0bkoDQ6XVYN3zxRYF7MJmRLLEGRLfnXzt1Y1ohtIAQnHXFRoLs/9tRtiAj1GKOrTqp0qUEqxf+4YkIPhuHkYT7TJZknB4DFUD67gRD/nynAKfjssBkt6PlywPlElYa5tCEZiNgd7UBG+4/BcdW1UGR+FWHzSytute3JRx0XoCFX9v6aqLq4Hy8e3DERIhJYmyZ0o9BK2lQpbrIs1p4HuWtGRldlvfgCnD0V5YLo5TWcvONY9PmzVE13m8m414C8VNhdJz5X/KP2HITXBMGxKJlZB6Wk56DTyZYs+P717ouWxQMEP755g52iU5EC06/vNFzwCpeqI4J2w5erLuy67CSt48YYQ+OVN39GYTbFDQGF181pKXKWVV+cKne3XFXIvVw1SsqRCZi9ldaOMHbU7rwtLniLhGF0F1HXXjO07ws6hCBHLpOj5VZJfL0g4Zk0Kal2bbrLBzORKDIQtvGB5frP5hQzRaJTZvEvCaT3f1LZNAGW23eqgm3ZPhsyGvqW69jc4huRRV1zOPRdfwQO3/RSv1J6MKITEiSW54OlaVVmgCT0VNGZPAE3CidpGlYRhSEHJC3j0tmTdeWFL1hFJ5gsel2xMMFdwWyraLiq7Nrd15Zef7psHpVr6kntRtTseON5hoetiIe49mkGhv61cycMNFJePJVAK5N/8JZGf/gihfPzhdXhf+w4h06gbT1v18pC5uAYq+SCE0sG7wJ7ZbJUA5RiCiL2oSewYkmSo/fpJla/ZGNfBHqahRXcDpbhncqH+5BU25vbBCNuHYpR8n1+WMzCVaqIDWk2p6aKLG2gBD89XJK59FsVrriVQEC/vKTiGJkiHDIO86/GbI2k2xB1yXsBMtsSmT9yAZUrm8kXunciQAh42luDihsiE2u8kGbI4Y7iskK8WDWXLENW9Aj+AfBBglwl7ndDNOaDJauXRrorcS56Huvuu9hel09z38Ms57bvfJXLWmUveA/rqwQ8VWBJW4op8w+v/uOdrPM9DKa2DqtTSWagCpQmKQtCUmeNUg1IK9wvfwLz2SV2t3WFxyD34lR9DDbFSorMsmYbAMQMyRb9tUFTeDarj1oXrE4xGQxhCUAp85vIeE5lCk8hLBUII4mVfLmhV1tpTbVMSdwymsi5eoIOQcCFd0PZF3DEoeAGurxhsE4BnGQLb0CTmoudz59HssqaagbDJllQIu1xeN37lkKUJwpYE29QCMYYU1ecNFPjpBZLPuLLJ59LSN9MBAjDcEmr/LopjOwAdyFq7nmwm67aGQqs9y/J3I4V+V7YhqtcHSpON68pr0SStmikRMpnMFRiK1PtQDCkwJSQdg6RjsC3lgBDc+OAcALlSwOakg2XouhW8QGce9hWOabA+bjMQNtnb4CNTwA8fnOGJpw1ycEEfi1jaxj2ULnLPRBZf6XrtGNKKveMLi/b4jqEwD0xpf/tQxCLuGOydLZAKmSgFF2+MoVC4Pjxqa5JioJjPey15CTk34Bv3HSHrBuwcCmOOLNZy12yeqG2yc8ig6AVsS4WYyXsMRa06YbMXXLiB89fHq3+bsh+Y00cfffTRx+qgTxDuo49TGBVycK1ysB8ojqaLeuHiBswXSwyFHXYMRZgvuCtK79nNossNVJUQFLUN8q5fdWCaUhC3deqYgueT93w8pRc5GxIOMcvk7JG4jga0TLKeR971iZprdyg73iRhU7ZP09LHKYqH8PsWCHYOxnEDn/trNjFX4gx0/aDlxtlqwVeLxldQ3gxbToCDIcUx2TQTAuYKa0elwfUV6eLS9RFCk/5CK5wPbFPPjccbfjmivxHJsMljtiWpdR02njVf8LhjfGVkoeWi2657tIOyRC9IOCZzLVQC2qGVokAn/OrQAkMRi5If8IgGhYOWOAH71m4PRLRe0dy7Tk1csKGFWuMxwMk8Pa8xTsYxgR9U0u+ufVg97r7vW4XAz9XCSMwhvoYJwr3sdc/mdSpro0Hl7fBC9+TtlcI2DC5Yn1iRknCm5HHWSLRsY3nM5Eqr+s0XPJ90DSE0UlaaEkIr7XRzr4glidgm8wX3mNrljVjpiLAUeaHbu7Z64nV/8DvLVw8GvMGRpU9qg0zJxynb2HN5tzM5SehMET8/MI9lyGWl3V3z6OIlrFRxtoKc6zMctVfGzOkSJV8RtQUhq/v1VCJkVkkFxRbKat20QqD0+Bq2lsc0e/PvPYN//eIPMXvIBNQo1tkOw1GbhYJLzDEpegGZZfbnpjWTgu2DYXZN56sqxbXYMRhGCIEfBJT8gPGMy2P+5N1k3vU6jtz7K7xi8zxvOiHsaIJn/90NhOIpYo7BYNhk/9wioXjfXAFDwFkjUQwpsAxBEKgl10ypsNmUYlkpGIqYRCzJtgGdKvuWA4tzU9ELOGMkwmzOZSRmkQpZpAseScfgrgNzBAqmckWe8M2Psv37X6leN336udz+9g9wYLyBVHqCcbxN41jI4uJNSX57ZJ500WM4amG5AdGrH4uRr1/7y6OHKT3sPFyAm24lGqusdeo73jmjcRpRq3BbO4UVfUWxJpg31UatrxYJx6yOfZV9CEPSPGds2AiHD3UsqxMOp4sEgWAmX2pNgGrxsiazpbbqj1BPvDVCglKg2JIKEzENPE8x73sUXR83oBqNPFfwSITMjvPcbN5lIGRX2zlkSjyCY74GEaK+EQpve1NncnANHnzSkzjvwP4lz+uTlB460P5WWK6r1HWX52P+5j3jdXuGUlCeuySWFHjl7COBUtV9NwGELAPLEEQsg2TIImab2IbOyiMFmIY+3soXv3DTTex7yXV1bMfwYx/Ljv/55LKeYbWhlOK+iQUOOQk2Dg5jzUx1JAmrmv9mvnFT0/GBajCPhoFWl7cNrUOeK3lNmQIGw9Zi4LVSSCSDYZvBsI1pCNJFlz012XUilmQqW6oLYGlU3C16QbOSeg1qM8xIdNCKVmCXWIbE9QPmCx6ur4UrHFPy4Mzy1ujbB8IkQ4sBfMUulIEtqevjBuA2zAmpsEk67zH2jCuB5ne13GF07A9+lwPf/Dmg97KMss9IKUVAc50bM/MC1W+oEcmQiSl1ZoHBiNUczCqar2nVTkrpPabJrMu5o3HCllGuS315Qoi6uXvHUIRd060Vfjclbe6bzLFzqD77TDJksiFuczRT4qO3HeIx21P85nCmaQ9BACMRi0PzBQqeYutAiEzRI+GY7J5etK+nc25ZRMgi4RhsG3DqynEDRcI2iJo660Lt0x9Kl5gvKwwD7JrOsynhIIAHpgvVLCEA566LMhzVBOzprFYFN6RgOGKxfSBcHadM2Q/K6aOPPvroY/Wwdll1ffTRx4rRSA7eN5mrGqtFN8CUMBiy8QJFxDJ5cDqHWV5gLwfdRrJXkC35NaoSelGSLrnMF9ym1KKmlHXKVwAxyyJqmmtSPbgWebc7JYDVQMQ2kbK/WngoIVfy4cRnZD2hsKRB1DLIlh3+KxkRip7CNnss4cBuxv7gd5ENBM/ixi2Mf+zzdb9NZIpsTITwAoWvFJE1GOCwPh4iX/IoBYqobeIHitl86biMYa1wYL47olPEMtg+sLL2PFGjp6JZBaHkBxRdv0F5q7lvJpy114dOVlTU0i7dlOjughNgfmTa5fReBaxta2r1cNfRLJePJY55QNXJzLF9qPSFtQ1FtuBV0352f1UfvaDXvn40U8Q2XcKmQdzW82+uh93y1Xg/fgCbEyEOppe36Vn0FKY0MIRWEhyJOHgqYKHkMZ1dub3XSHrpRMhph5wbkHNLOn2o33neE0LbgLV/a7UxVa1PhaBcWzdR/T8NKfRmcyMBcNNQmD96/HZQohpIE7IMCq4PYpE/INCbnbcc7i11+kzOZTiytE8jtH9PT+U24vB/fb7tsVZvfPDu25jZcibEYuyezrE1NYBpCLwyiVQKUd5kXrxaCMFkmURY8hUlv/273zEU5oJ1mqzmtFl7CXTa+07+qdVUHw4CrYgG2pd259HWRPxuxo1uVaG7w2qO7O3L2j+X7zpLhSE0qWQ+79YRhoYaiCYFL8AUsFTCn6GIxd133d/VvRsxOzkOwKH5PGePxOkmw/NSLWpKwWmDEQwhGAxbFDyf0YhDgA6C2NdjNo/ZvIcpa/yzQrAxblNwA/bN1Y/lO4bCdQQF0Mp520YSXPfO/+LXP/oOd3z1Yxx+4C6kYaICn3BigIuufTlnXfVs7Igmhw5HrCZlNQApBZuTTlVx1SoTGzpBotXxYi95LqGjh3QgwAWXcPRd7wcg7yrClmQu59a962jBYzLrIgXEbZOZnEvMMRhKhrjkLa9m2/iDTfcafuAunvDixzEfjvesqgdgbt/ew9lrG6PxEMm5HEppNb3hJ1xWbYu2bfLYh5H93FeJ7twJaGLv5mQEQ9Dy2+h6dOniJTQOe1LAfIvg8+Q3vsf8RWd3e2edGQhNBFso+szm3Rq18u6wVPUbjzumJG7X+2eKfsCdRxdIhUxCliQlzJaSiZWyNiVDxG0LxxSYUoKAghugFHgNqsNSgGGIpijN2kxJ+v+bPVaWsWjdiLJxIwWErEW7J/uVLy3RAvXY//+9gS3/+p6O5/SJSg8tGLKsgtqjSaKUYlAIPCHJqYBepANqbbyqLehrMvBw1GoZtKCAvOuTdyFd8BCAKcpCEAXIeR57ZnJIATHb5I6j2gd4muUx9tyrWtYjf9NN3Dm2hfBVj2fH9df38ASrCKU4OJfj7olMlYh5+FNfZ9PvPhNzeqJpvqx9TXPnXcL8v3yIoYgJufo2KzRMDAMRm6mcfkthS1LwdGBDxDaQQu9BbUqGaZf0wfMVQYNxHrZNcm79m7cbCMJAnRL84mO3zhpbLJ/bWEYFAhiJWtV1SS+YyJZIhsI9XaMz3LY+Npf3GHvqI6r1Wg0IqNuDWih5TOVKFLyAohcw0CJjmibhdvcBCxaDeypiYokyabjyW4XIakqBlILRmE2k5OP6AUKIqu0Ythz8QJ/rljtOyJJkSvXfuEJx2mAYx5TcO9FeBOXBmTyjMRvQmQs2JUMU/YBD80UMKZgtBzfdN5kjU2oeI7YPhtk9s2hn75stcPZohO2pEJmS39Rn8kWPL9x9lMedOcx5Y6lqP43YBg9M5xlLOiTDFlLovnPbwQWybkDUNhgMW8yU7ZWb988zlgrVkYMtQzBaXjuduz7OhkQIKQSP2DbIYMSu6/s9xEH20UcfffTRx5LoMwr66OMUxqKRrTg4navbXFZo56Ap9eLg6EJBpy4LmV2lIFktNC7kcq7fRA4OmxJfBaSLJWJlB10l0nCtk4MrMGSzo6+PPlYD/V6lsXM4xu7pzLJVfSpYF7fr0gsthc3XPg6jrOBTOxopwDm8n61XX04pGufIF78HQLrokZ7UxAHLEGxNhXGMtWOOBQrittW0GTIUsbl7Ym2p+JyMMMtO9VonmCFh10xuyY3ZtQilFNsHQzU/6Pm5MjVrJQvBnpncqkyBx6uFbjuUZvtAmPUxZ+mTjzOKLZzmq4Xj1b4nOuVjwQv4+YE0V4zFTxo78nij3ywnHp6vmOjBHqni5JtKmrCoZdd6k/NEYqHol5U8T1y2BdOAwYiNY0p2z7RW1lkai1pTQggsYTAYMhhwbHylyLke0zl3WeTe1UQ3gRwRy2RT3F6V+5lSNGU9sAytTFWLgbDVkpwUtQ3okSAcd4yl56Jd9wHL21RWgDIMCIWWPPeFf/pcwvnm+gfAb97xfoYe/rBl1KA1kiGTTYnOdVKIlmSBWqxmtqZaG93s0Pm62VtfTeLyWgzbiYdMrQYbtpjPe7iBzozjNjy4HygsuTQhQQhYt0xiZzw5AGgiw0zeJeEsrVrfrkUNoZ8t7wYcWSgwGnUIUJrUoBSWlNWg5F7gB4rhqNWUsW1T0iFsSVIhEyl1Oud7J5vH9YWi9pNaEi688ilsf8QTCfs5suk5CljEB4bZmAxxYH6RdNCuD7u+YjxTYrBCHlmqry4sEL36iTRqz4Z+fStbr74c37I5+NUfU/QC1sVtDqUXx1BTCh5/WopkyOSB6TwBuu2f9GcvIj4/DbR+FwpI5heq5/eCs276UY9XrF2YhiThWOyZyTH2tEd2ryL/gmfCr+5h52CUkq9JS+1dDYsHuuQNtUVj3QIFyZAFaH+ZKQUb4iG9zuiBqASaFht5zCXwrVuqv5lSp6yfK7h1RbUq1TYlvlJUBJOFWPRbSCEIm7IcXFTO3KFUPQFW6DGmQrqqEPRs0yAVrnnyr3yRxLvfWW2LXOXpwxH45g+xYlGU0gTGSr0VirBlkC35BEq/r0CplvPIheuTTU/oB/Xn2oYm7VeCeNyvfrltu7ZD+otfhA4E4b568EMTpoTA7zRt6MylmaLHgfv34l/zZGQQ8I3hDbhoddpdnsv12TQ/LORZKvQ9ZleykJTXLDXHpBAkQ4u+9MqQ0knp3DQEeyb0HBsorSxe8AJEJsPmVz+joxIvQP4HP2TX81/Azs9/bomarxyZoocp9HiUK3pMZVy8wG9SaZ3/wjfIzKTZ/OKnYxTzde9GPPJRRN//n+ybqNj2gqhtECoPbkIskj9TIZOFgldHqNSZXwMKXlC3f7t7Ksto3CZmmxhS4tU4ew1BU7CZaOgxjilb2ihNCrRKMV/02TWdZzhqsyXlkHQMprrYtz5jOMaOwRig2DOb5yf7ZpkvdGe/jaeLnD7UG0HYXWK9IssZJFcbyZCpFYNVfTYIKWA4Wm8PK7VIZBbob0ApRcH1MQ1ZXgfpb7gxiAU04R7q/TO1CsQR08I2DPbM5qrv0jElpw1EsQzBXUfTdfsCAkg4BrYpmcq53LRnnkDBzqHwkqZpyJSMLxTxlCYMVzCTc6uBdkcWSmxJhZjKlsi7ASNRizu/+wWu/9i/4rklBjfv5Nl//9+cNhhma8oh7wVcsD6KKSU/2TtH1g2Im4JbH5giW/L5yu3jfP+eSf7gyu0kIhY/2D1Lzg04ezTKpkSYeybSxGyjqhqcLfmYIUHCMUgXfUp+cx84d10UBOwcjrJ9KFpt3SFzMfjZlP05t48++uijj9XH2mGk9NFHH6uOxdQhguGEw5Ga1HIVWIZW5x2KOCRDFhl3+cp0vfoSQ6bEKoe/OaYkbMqqoazT3sVJF7UywKGqo1srYIzGbIbCzgknmfTRRx9rA56v2JqKIoD5ootCMBg2iTsm++YK/HTfXFflRG2j7bF1UYfpvMtCWcFz87WPxSgWWzp5ah0mdnZBb56Fohz88g8A7cRJhExs2f5+ffQGLwg6povtNEfZhkAgelJp7BWmhN+Op9k+GCFumyhgOlckU/JXRA42pVaaqkWrvbZap9nqQbCni7RttiHwl2AIbxvQJJGIbWhl9Lq7CBB682up1KarhdAalcQZDNvHLpBrrTDwjgOKXkCAoD8C97FW0Srl+KmIWjJwBarNv1ude9JhFZaung9hS+CbJhduSLJ/LltVyukW7dpRCIEpBAnHJm5bKBQ5T6v1pbucf1dzeW50wRBeKaFpNRC2DO6fzDKe6Z3Uf8uBNI/amqxulLfq5wOf+tiy6qXK/9v/9Z91Pu/IOC97zXOrfze2ugQueevryFx8OdPveu+y6lKLCzfEOXsktuJygO6zX/XaL4XivNEEBd9rTnHbRVnG372ZzT++EZRP7vxLmPm7f+uxAtpH5vnBqnby6Zxb3aheCTxfIYWoUxVzTMFkprONOhK1iTkmUggOp/NVcnc36Zvb4c3v/Z/qv8cX8iRDunyl2hO1BZo44QVKBzhKUSZLqOp4WvRgobj47lNhEy/QxIpkyKTgBhT9AKfTArQGU1mXZMggXfCJOQZFLyBkSpKOgW0I5goew1GLsVJ9gKLv+uweX6gqo8+iu0QaECIFQHahQBC1SNSocecKLklT1BGeIiELu+x39QKdDrnTksdfWOC05z+x2maNUIDhlthy9eXs/9YtTQGhSsFcpshctsRCziUqYeD/PtuRHFz7e6VqS5G2qgj3RujpFSfCDtk2GOUr90yyNfB7Gsayb3gd2X94D6WaT6v2+rLQLHN5pdOzBwrLFCQN7afwA1WnZJ0pNYt5VKHgUdtShAyJ06BIrRRcujGp1YuFwvPB9WHg9nuYveCsrp6ltt7bnvoIrF/cAUL3D1MajMYcJrNFTXoSMJ0vYckaSpqCjfFQtaSJXIHJhvl640i8bn/BlILbx+frzhmKWE321mDEYq7829jTrkCW1REbxQPI5+BxlzPxxKcz/2dvbXpGKURX46CvgjrbKFDaVgpqPj5ZJnFWUPrER5YstwlLzDtr1FXSxzGGEHofUbvrFEUvYC7vMp112TOb4xf753ncaSmKX/8Km979DiSVsUZQCeU707J5c2KQl0c9Xj0zybxq3e8fd+2LWgqAtAq2qR6LmJw9EgcUWdcDBIaA3TO5coYRVZMpRZF1fc4cDrPlJY/Tz9dFGxR+/nMymQyxmLZjXT8g8H1M00DVCCYESlFwA7xABxlNZIoYUttPyZBFImxh19gPgVLcfXSBn++bo+QH7J8rcO3Zo3WiBa0CCk0hIBrl4P/dWP0tGTKrflNRJgdbEmbzLoHSxMUKLlqfRJUnt6zrsWtaK7dKQXVsa4SrAvbOLs4PliEYjTrYpkQKbVPV+jJqRxPHlHz7/hmu3J4qk7q1LeIH4CtNNtWBLYr5gs/+cpaFTQmtSNs4D8VsHVzR5E+o/iDYPhBh+0CEQCmOZArceiDNwXTzHnkFntL17MU2zXWwqzded03X5fQKyxBMZb1yAHMtRNN30i5rcGP2D4BM2T5vlRG33eygAENoQvDumUw5qMaqzq1NNiKa0C8QTOTcqs0+k2vvc9g+GMIQgqKv2goEPTidr5KEcyWfrUmHt/7e05nde3fdeUfu+SUffM45IAxe9dEf8ewrTidb8in5AY/amuTAbI7P/+JQXT/Ilnz+9bu7eOqF64naBsmwxd6ZPJZYbJeLN8b59WEtsDNf8BiKWERtxUjUZr7gEXeMaj+OWHoM2DkSozICSaH/J8r/7lMf+uijjz76OBboE4T76OMUhiGoRuM2qt6ATuehHfLauW8bBgNSEsRUk3JOc9mCoahezAZKOxTDpkHe1YuyqWxpScWhghcQsQxGYzbT2RJzXkDcMRiKWGxK6HQ17ZSLJjIlorZBxFxaHWQtIO8GhKxySqM++ujjmEEBCcfi4g2LY8NAyOLBmRxHllDiC5miI/Eu7lhELBNPKWZuv70tObgWtceNQpaxpz0S8+ZfE7FOjrGrAlMKIpZxwpXkOqHkK3473joV8FI4u2FDaLUhBUzmSijgwZkcZwxHsQ1Dq1H5QdUpFLEM0kWPzckwUmjVoPsmMh03IqUQbEkurXS7Zya/6huaahVLNKVg13SesCkZjlp1ClgnAp2CBU4kHMNgayrcc2rjtYS14uC8ZyLLeeuix6z8k3nfdC0Q7h7q6IYY2Qpr7dW1qk8twWat1fdYY7nDn21U1H6pEt9A4fmKzYkIyZDLgbl892r9XZwnhA6eilmSmGUhk3rjeL7gMpNz25OMu6xCN+hGND9Y5QFrILy0jW4bonqeQiERbEiEWJ9wqmpMFSXCihogaIJVrtEfoBQzeb15CNqHMxA261OKLsNzq9DKv5mbbiOlKKsU6vs1ttjWMjm4E1lPAbFf34Lx6Y/Cq16zeJOGe2ZLPptr7NLq964WTzckDNW0s6o5r45U1cW7NaXAren4SikaaQICcH2BX2kE0ZyyuFLHagV8vYmeaUE6sKQg7jTbifZ73kXkq19smv/jv7yZ+NWXExgGB77+M90fyvfpFAxiSoFTJuutFjSBrvNXKoC4Y9b90PguBNqfWAn4d70AKVpbPrU9bihsY0iJIWFdzGEiUyJi6+scU2JaFp7bWyBcrfJw1Da586jelDcEOKaBGwSELYORiKYnTeVKRGyjLcGoHRqJMobQqY1LvtLplcvkALdhIB6MWFVCbuXIIsFFUfACdk3nmc65XLIx3rQGGrAEdx/pnMln+3CEkhcggNmFIr/eP8e5G+Pcdbj+umsu28y+uQK1sdOP355q+fErBds7kIMbfx+7+nJu//j36467fsBHf3yg7rdnf+oDHctsh25Iwufdf1+Ppa59RB2Tq//fc3q+Lrjx+2RKfleBpa2U2AOluKdGzXpHQ0ruWsRsg6hlElTHl8VvIFDgKUUjz6rkKZK338v8hd2RhKH8/pXCv/UWwo94JKDHybvGG5Xvm59Z+3v0v7vx+3Tt5yifNva0RyKDYEnxgNT3vo63bh3Z6/6w7pxubZkD8/mmgOlzRxMt7lhTXn652SZao69k+NCGFLBnJsO3751i/1yBYuPiI5Nh07vfAbQfsyNSskVY/MfgCC+dnqDY4nt77dvf3bEejikwhWQk5lBwfcYzRYQQ5e9bELf1nJ9zfb55/1TT9VtTIfbNFQgXc2ztUNdW2HXxpez6zPf47t0T7JvJcfmOITKqvoRWY+bTzxyq+tQNKYha2kbxAsUvD2WaxuvGrKuyRS1NKRaVlqGmDTQUem1jSsFktnlPZDpfZDBsl8foxfcwGLbaKvWGTAPXXxyHXF9xKL0oHCHQa6WwZTCZdfnlwQWKXkDRV+TLz3/jnrnq+RFL1q2PHEPvOR+uyUgwGDGbbHeAkGWQ94KqmvRszmVd3GkZICaFYOdglE3xMELA4YUCP9s313KvyJSCbj3SUoBhCKSiiUwLYExNdFlS96jcxWuz+G85F7Xp5K2ytUih+03B81s+UyOMmrKlEOwYjOIFOvMGaJuycU9poeTz68OZprXQTN5l20CIA3OFJt+GIWRz4GYDUmEToRTDEYszRsK8/FGnUyp08J8rn4+84tFs/+Q3uODiSxFCq/zPFhVjQxF2Ha23Mc7emGDOVXhFl51DEe4Yz7B3rsBFG2LMF3wSE3v5vde8GNkw/9Jn2AABAABJREFUr2eF4DPv+waWYbBjIETMNnCk5MKNScxyO0mhyfz9ObaPPvroo49jjT5BuI8+TmHUGtGFhqg62xAtyapCCFIhG19pkm8FA2GLmGMQsUyMcnKYVk61WNm5L6Ar8spc3iVAb7L4SrFtIApKbwYKQUcymm0cW/JO2JL4VSe+Igiaox27RcSW5Ep9cnAffZwICCG45qxR/uu2Qx1VpixDLqnAptMwC2Kv/N3e6wEYgY965XVw/Wd6vv5Ewg9gOGo3pQrrozNMQ5ApuhyYz1edaqcPR7GkZK5Q4uD8ohN1LBlmIGyxrmGqGEuF12y7d8vJGUuF9KauAiVaOysrZLi8F3AoXWQkahGxDSYzpWYyzXHAPRMZLljfuNl24uAFPqUgwGtwvq8mHmpEvcmsyy8OpHnY5sSxccCexF7dh1pfWItYbvdZc72uoTOdCPW9tYRaYmAjwuVgoUr7VE6rKCnVlFJ3XaAgalmcPWKV0/DCTK7EwQ5zRddqjDUwDUFYmYRjJuuiIdwgYKHkMZ0t4a6y4rVjCBzLYDZ/jBTzO2C59xyOmsznvfLbad+6907Wb2qaUuDVEALDpuARW5L1F73g5Wy96cae6zT9bx8h10GFCWDDS58NLN0fKscj13+E6J+8oe154ZRk+0B98E2gFCXfZ/eMfvawJXnvzfuXuCO89hFjOotEBxQ8n6l82W+l9CZ3q3dYq6ZWeZ7GXtt4jq6rwW+PZJipWSPWEjwA1r/yBTgH99Vd11hrBUjfZ8vVl3P9B79d/b0dORM02VqK1QnaiX72egY/83GE56GcEOm/+WfU+Re3PT9d7NxvUmUF3VrySr6N0loqbFWfIe/5WDJgIluq3iPn+tW2//ev38prn3xR18/1zN97dd3fcwWPwYjFTM7FV4v+RNf36lTQjVWw0XwFvq+IsKhkHbZkE0FYlYMAWsGUeo09ELZQSrHQRg2tFrHMOO/42F9gtVBddJ0QP/qjd/BrNtT1m+GYzVSm1LoztWiKAEXhwx/UZKMla1RWOQMuH5R889Di7+2ChLpt/cp3+uAfvpFt//FPi2qUDZCjo5xz2y+7LPXkgzU/17Pt1Es7N0HBz/YvBl6bUvDwzQnOHo1yx3iGfXP19kWu5OMr1XK8bkU+NiV4QVmJ/NGPJfjJTT1VL3jdH8Av7+zpmlosN4iz5TsQwK0/RXah8Fzpz8P/8zHUy19DyFrcP5FCZ1KqLUMKUUccVnSXYaT2M8/+3VthfHzJa3pBXz34oY3ZG28i+6KX8CjgUTW/K+COx17D4E+/Diw9/thCsNEweVo4wpfy2bpjH6rJfDESs/F8xezkLKN/+RqsyQnWDQ5w9J8/QikWI+mYOIZgPFNWEa9cKCrBca2/mYr98pw/f37Xz155TqOQ5/v3TJCKWEQd7TOMWFIHS9gGMcckFTJJhk0sQ2BLHVAVsQwitiRQFYVeFy/QdnKrYI6C15BZTWhF5DozQ4gmJdWhiEXIlOV1oaDkB7iBtnOHI7ZWWf+Ht2H/9McoAfsfdgWJv/tHfKUwDu7Gvu2XZK9+JjiRlm1gGZ3frnXLj1n3d3+FdF1SwOnldrvtmS9l9zUv4ZlnD2NLwVnr4zimwYdv3kfO1ba8IQVbB8Pc37BeemAqz8RUlqvOGdHqvr5CD6EKP1hsP6MsbrIUlIINsRDPPXc9CDg4n+fXh9JYpqxmvB2KWE0+mdrgsrAlKXgBgYKip0iFTEr+8cl4B5DfeWbTvrkU4BgS0SLYvDGosoJWgYOWlFVV4ZApqwIa2ZJf/XYcQ2CbElMKLKnVo8vJ/zCQ2AbV4KBWe/whU7ad0/bOFlgftxlvIG/vncmRCpvVoL2obZAKmfiez3yuxGy2xPfuS7NlMMxV56/nT5/16M7k4Bq86SVP4zX/q1WGNyQcxjMlBgYiPH1jgu/dcYSip9g2HGF4MFLdo7h/KkcqZBJ3DG7dM8c1f/xMbLfY1K5KKaJK8YrXPZX9QvCe19+Ar+D8TQmGIxZjA4vf2knsRu6jjz766OMkQp8g3EcfpzBq7UkvUIQtWV0WB0F7so0pJeuiIWK2Sc71cH3FhliozrBdylbtVomxUouxVFgrpEiJEnpxnC4usTm3nJ3NMioOyY7Fq/rN2FaOzW7gmMeRHNxfRDzk0H/l3SFT8pdMQTsas1kodknEXMlO7R23L//aE4i+omR38FXAbMHF9YOqSk1lSrxwQ4K86/PgbLZuPjl3XRyUaKmUlwxZCFZf/Xc10G2fqE1P2g47hxcdYoHS5E2yLsmQSURBbgWph5eDoxm3nPLuuN62LaQQzOZc5rpM8d4tQqZkayqMQGDKzirqq4VuNjaPF7JuwM8PpHnEWHxJRb2esVY6zzJw8tb81IEhZd3mR7dYyburEtGO4di35vrW8TakO9xPwYqyzSjK701BKmx3JAivFKKcfWgobDAYsvFVQNb1mc6VVqVNpRS4Xc77q5nNYCU9dC7vIYVWUlRApinVq2qpUNXVHXeeWT23m+atlBm+5FJyS8zr9tHD3dSgDtldu4ju3Nn1+Xtms00qaN2gm+d1fcXRhWOXdSLv+lyxJcnX75tueXzzcx6PkdMkhk51rT320tc8pUoSTkVMzA6K8RWCmPnK63Duu6vumAJyj38yvOMfAAgChZT1zC37j1+B9Ztf1dfFddny55pYm/2D18J1r2wolSXVdT2lun6n83mvGkTQmMK4ggrZZHR0lOte/xZu+Le/XbLc084+nze85e/wA4VAE2kMKepSZ7dD43c3HLVIOhYlXxEoxVzepeD5BEr7DsOWgWlInQpb0UQkryDvBkQtA8vUdnUQaCW0VjCELndhCTK2JQQ7RiIIBH/85ufUkRsbe45VLPDEf3sjjzUsPvO+r/KwRBjLlMRtg2//+hCqywE6V1Kc83//3dW5tRh87pPhvV+r/t1oS8SWSVQc+uwneOdbPkfKz/OCj7yJdQvTYJoMvOLlbPqzP1tWmScbljO1GlKQcFpt/dXPnKYU1WBdgV6rbYzb5Muq1MMRG8cwkLbAcz0Spj434pgIKRACfnt0gQvXJ0ApHHNRwbLV8koprf4JkP3pj3t/sMBfHDdFt/P24oyScKwmAlnYkjpDA5V+26JcpapzfOWMqZzLtre0D5ppRIUkHL3pu0xecZWuT8ikUPJo3DZolfZ9INL8PqWgTi2zovie/ciH4X8/33Xd6hAKtfy5rx780MZvLn0E3mFtN7bqBhfc9JWeygtLyUujiSpB2LJsPvPTuzht/QgzBRcpIPqNL6Pe+XZqQ/fN+Vm2Pu8JKGDXq/4Y9wXXAVDwA+6cWAxuiFoGhqED784YjnB0ocThhSLZgsdkpkjcFJheb2vtyjd8zcUbyZQ8LEOyKRkiZlnlkVUQADnXZaImO6tSioWiR7HG6SvKKq3tvimlYCJXIAgUftn+sAyJX2N/tVIfn8q53PjgXNPvY0mHx7zqGSRz9Yqoie99E773TQxgc+XHD70HAC8W49AX6rMDdNrz3XLtYxHFMkGy4dhlX72ey756PeKbP2Lj1vUkQhYF12f7YIRD6RKiXMcHJnPsHAqzZ0ZnxwmZknv2zbJvOsev9s/x/z1pJ6YpcYNme9UPFFnXJ2y2o720GtthNGpz2lC4+lMrH0zYlAxFLAKl2702SwzQ1p73R9YhJ1YvUKNyy4n3/zdJyyDuQMFTlDwfN9ABe9EWj2mbkqhtUp+7Ba3i0YCQJat9teDpgMChiEXBC7CkwA0URV9R9LXNPRixuONofUbH04ej2FLPtUrpNXItmb3T+gf0e68N6IzZOutwxJYkQyazOZd00cf3fW67f6puXbJ/Js+eI2mOHtjb8R6N+L+/eQW//86PVSfVQMF4zuMx522gmHcxHZN0wxp/ruARMwXPeN0zsb1iS79y7W9blOJP330d//SGG7jjUJrP/OIgl28fQlSzRPXRRx999NHHsUefINxHH6cwam3KXMmv23AUQMgSFNz2lmfUMolbJrYpKHi9WajtbHzHFBTLZZlSLDrHLBND6oXvofmiTv/YBqYUxByDqVyR4YiDbEifsxTClsQLFCFTOzIDpQldppS4XoBdXoAshwzcXFcoHkdS00PDT6fVnPso46Hx0lcM2xSMRm0mWqTUqmAp9eDV5LRl772b6FnnLPt6nc640/HeEK6ZD1Sb6xOOxbmjS6ddXilMA24/kl76xDIanUwnCkopSoHP3tl8HRldCBgIWewcDJEt+eyezlbb1zEFZw3HOwasqACSyyCJNVTumJCyjsfm0HzBY13Mxs+7zekLjyHum8ryyK1JotbaWC5JIdmcCOGrwpJEgm5hG4LtqUiVTCKPkxpQJxvvRKDoBcekL5/Mpko3ad37WEQ676IUJCPWqhLNB2I22aLH8RJR3zkUxRQCVykemMoufUE36NupJwRLzfqK1kp/y4EQAlMYJB2DhG1hGILRaMB9k40pv7tH3g1wTMFA2Fpa0XcNDVeBgoWiJilWNk8rUAo2JGwOpevJrE3jbZsxpLBlO6H9e7quS2n95q6DinruCS97Ifzktl6vqmJdzOFJOwe5fyrXpERZhxUEhC+FbrtNxDKaNoIrGPrrP8HI5XqqYuXcwbtvY+acSyl6AXMdBvnE+F4GXvbCpusriP7wO6jHfIf9X/g+xGJ1xza++BlYM5Mtr4OyH+4/P0B61y5m3/iOHp5CZwCL2QZZ1+9iM7v1CQNhTaYpuEHdOueal/0RZ116OX993TPalvi8P3wDL/yjP6vLetYrwqZkNOaQCtv4viJkSXylKHmKVEinJh/P5JnOubhFH1jsB1HbIGRK0oXm8Snr+lD+eSBikgiZSAECgSH1WFD0AgIUC419q0VTzczlmJ1c4G3//rIlVWErx2zf5bo/fjruTbfx6duPYoeM8vHmG9wzmasGNFSCIxVw7hL3agXTc0nP51BKE4hy6TxXbB9gKltCCsHYMgnCibkJ3vy3L6j/MeSw+SFCDgZNyjd7tDFryWkVDEftpu+mMb07KPbNLc5VRzMu0zmXr992sO66p120kfEyOetwusSP98zxR5ePYUmBZegsVK0IQEIs7gsshw2jgNvH56t17/aaCkwpq+m8K/ADKNY4mkNWc721Gn5AyJRkS351P2E5as2hv/1r4t//BQKBFLS09Vu1TDe2W9Wu+NC/91irRWx697tb/t5XD37o4o4nP7VKDm6FSs/s1XTbYBj89foxLvrWLYD2oRxMFyh4AQPv+AvUz26sK78Rwx95H5lf3Mz0P36g6VjW9XGU5LaDaW4/sqCzsngB2XQeQwhGk62J8N1g12QO2zGQQjGdz3L3RJZNCadq51+xJdE0PjX6wZQqZy5RisdtTy0uAcr+20AFTDaM4zG7PrihVfB9K4XfTQmHq373cdV27Dbg0Mxk2Hr15Ry8/v/w160vV6/1uL3lmY9GuG7Lsmv7h3rqlfz9v30VbG1rDUctzh6NUPICds/odcGu6TxRW7Ih7rB3IsO+aR2M96KHb8YwZUc7Pu/6EG59rJ3vvZt95bwXUPCDumnLNkRVXKoFzxaA4he+gfXYS5YsvxtUbj37l29nOGIxlXNJhc0WwXHNLWQK0TT/6wwezbZsY6aN4ahVFZNolTmoaX1iGVhC4CvtE2j5vpQiYkmc8j58Y7aNdNHnzBGt1jubd6tr7MNpv64OBR8u3znEj+6drLv+P9/++lZ37YhDd9zML3ZPM5IIccbmFPMFj4IXMJv3CClFUPKJ2kZde2+K2fz86zfyxDbk4EYIIRiTii3/81ZO+7sP8/IrtlSv68+xffTRRx99HC+sjR3vPvroY9WhFFUlQqVUkxqREBXHUvslVUVxeDlKRnnPr0bgZ0s+A2ETIbQyXcWZPhJ1MIS2fG1T4AeK/Z02iNCO+ILrVzcQpnMum5Na7dhAIKWOtgvVLsIbHrPkB/gBuA3P7vlBR2Kw66uulIdrYRkSr89mXVXM5kr8dM/Mia7GmkGfd9EdopbJtWePcPvRDL84MN/ynGTIPC7qmQC8+13wkRuWfblAEKwmI0KscnkrQm+9eq3U2lUBu6br06ANRyyGIg7xkEm+FBCxDM5bn6CSTDJQamk1e2AsEWFrCo6kCx1J7m3LOMllXo5mSmyI25hSkHN9pBTMZl16jF3qGT/fP89VOwZXjUS1UogySXiu6DKTc1cUgGRJwWkD0SaluYciKkERa+Mtrw30+cG9IVv0KHqKZGS1g2gEm4cioGD/TK6lyvxqouAFOKakdJwV208kjvf4bkqBY0haWS/dKuZ2dR8hGYnaZEs+JT9oyqJxrD5xIbRiZsH1SYXM6sDaOKZYRn2K06pYX0UQsPz74XSR8YaN8Qp5rXLJvrkiA6GGTAuKql1b+f3RWweO2/v2A0XIMnCDxc1DIURrRaEl/q7g6H9+hi1XX97xHFic04584ossnWB3mSj0ptjb2N/itsVZwxb3THQORDiaLSz5xpZKc9wLGolslhRMZl1+cbB14GLstp8v+17PfP+bqirCbZHJVMnBncgWAFue9wT2l8k1AIPvejPWzOSSZFIFJH7wbWZf8HLYtq3u906oBNYmHJP0MgPXSn7QVu33jPMv4fO/0USkf3z977Pn3rsYXbeO1/3zfzE6Orqs+4FWvzx3ndYhDAL9nJ5fUQlTGEIgutAlz5Z8siVNVDCkVlg1DIFf9v3lSj4R2+xIYHaWStEtBQMRi9l8gT/5wGt6IiEKAN9n9v+9huir/oav3naofKC5hHTBayCHLg+VkneN1xNBLh5L8kD5Wz+y5RKuXWa5tTVXgCgUuWNsC8TjnHf3XS2uPHVwQy7DS8LRrs9XSi1r/T8csdiUCJeDS1r7zGrRSrlSUCbNCi0cslQWr+OFpVrDNERdXVulYUfojE+eAr882a6LLs/2F0HQHCCw1DW0fg5f6RT3FVvKDRSl5SoHA9g205/4OEfe/nasDRvY8JlPE4vF+urBD3EU7+hunO21iwgheHoixaGa30wp4OYfkViCHFyxV2K3/5LM178Ez3ley/PcQFUJhUlL8qtxHcR495EFnr2MOgM86rrH853rf8Bk1mXnkM6GVrcXiWgSGRmMWNRbWIu02TolXNF+xRJ1jOp9lGod5G+V7dmBsMlQxMILFFe+6MqegxlqSb2bX3ot6R/dRiXUqLK3a5uSuG2R+8e/bUsObixTAS/8m5fytX/5LI87LVW1QfxAsW0wwvd36T2/bCkgk3e5ZZfO4nHFjkEuGEtS8Nrbj6BtMKVUy3VXO0GrbtcTYcsgV3Nvx5SUyiq6nq8VhYPys3iBzkw7X/Q5D5As3f5LzZgKyL3ng3DJ5UyV96+8FvNVq6m3l/HbMgUDYZN0wcNX2lbsZTo/bTDCRLZEzDYQQu+3VQLl/PL3WPICHr5ZZ3LbP19sIggrpbh3sn6PZb7gsXMozK6GLIUZBZtSIQ6VeQWjcYdf3Hlj9xWuvUfeYz6fYddRPU6sTzictTHBjfdNAZAIm1x5zjqOZFxGoxbf/M0h/uWzb+/5Pn88sZsDYykGo071t0BBRdRcCk0Y7s+7ffTRRx99HAv0CcJ99HEKQilY9DMp8qVFA9suL3iEEB0Vck3Z+fhSEOjrU2GT4ahVt9DNlnyGIlaVHAzlSM02Bm/IlMQcQyvylBcmtTg4r43/rakwMVs755Zb905rHS9Q5QVjdysiuYJ6LBf9NcNDEf233i0c0+DSDQlsQ/CTvXNNx/fO5Nk5FGb3dL7Lr3wFyOWXPqeP7rAG9pzcIKhTWzx9OKrT2UmJ5yvypYrDUx/X/+m+4oGCwIf18dCyCMInxSixBCOxMS23QG/ybxsMEyjFnpnVT6V+z2SWTUmHs4ZjS598HBAorSQ8GHIYcGwCtGN1oegymSl13aMSIZNN8RBSnBhycNg6ZpSlZWPXdIHTh9rIjCwDqiHdYB8PDRTLBFu9OaQ7gBACa0VSIHqNNBJ3GJ/vjpQ3UFad77UL7p97aNomjWTVYwkvUDo1wHG4z2g0BGU+kSFhJlfiYLo8Vx5LZValODhf6KgW36xW2Brposfe2dWZ3x8xlqpumLfH6jWKlNpOqe1arUaCxq7XSpWpgv3fuoWxp16BrOlDjd6JQAgOfHP5xNWu0DZt79JwTE2YmMqVGM90HtOKSxAAAOKOgSnFkiS0bnJpNBZhmZJfHJxtffLtWkF5OT1G1P27fQljz39iV/eoHN/4O0/j8Ge+AUD8R9/tui4KGPt/v8eBr9wEdL9C0apjS5ODW5UXd+oJFp3wF//2cU4fjhIEit0zi0QBWVa7laL5O2qFCjm4sh4TaP+oIQUlPygrmtYX1IoAWQs/WCT11Po9pYCiv/zA4y0ph5KvsKQOKB30cktf1ALrbvsZP3r0xOIPEwe47s9ehlEzhgRC8sW/+SjZ0U3Lri8sBidcujVFpuiV7aGgTjAhrhZXwcshKbX8e2GBO7dt57y9e5ZV75MBW6Xsqc18YPyd721ztLlPV5QTp3MuvlLYRv1sZUnB9sEQWxamecTPvgDANy68FuvSTdQqazfeptTmw6wju5x5Dtx3d4enaa59bamuHzQp9reC/pbb2x0lT1XtFh04oMc4KLe70GNIhZg3EDYBsaIglWTIxDElBS/QZDYgZBks1BCxDEGV/KtoTRTaP5+vqoBXMPbOt3dFRmuJUonCrb8EoDgxwd6zdeazDX/7Nja98uXLKbGPkxz3veSlx7R8b3i47m8pYMvb3wh0ZwMpYP37/gHe9w8MSoP5f3ofXHY5Am1Xnz4cQSmFFILx6RxbhyJ4QbAsQaQKLGAy236eF0KvMSuBjQKYznbnszOkwBBUM6ZWAi6EEJQ8VZddpdUYVAnikkKwazpPeObospTOq8+Cfgb7Zc/n6Ic+XS0nW/I5aziGISXm5z/TU3nh+RmybsBP9qV55JYEBS9g/1yRK7ameMSWJD/fP89pgyFm5gpEbYNU1OLxZ48wXSbFxmwD25QsFLym8d8LVMtsOWFLtt2nbVTMbQfHkORq5r2QKbENiRB6Hrlxz1zTNcNRi1998Nu87DVP6TiXV56iaJgEQuJ4pUWStmFw4MM3wNgO/UPBw5SCRMjE9YKmvfdufZHt6pIt+mRKPgLtP7bL/pKFYmuisJQCu9zfdZ8U7JrJEzJE2Q/htlRp1iRuRb7ksy5mlddzupzhqNUy0+fu6TwjUYvJrCakD0YsEiGTLXGbubxHPlAI10etkmBXruQzXuMnS+c9vnrbIR6xY5Bf3D+H6+sMn71kEhNCEAJK9/+U2AWLgQ21ZpNf3gdy+gyuPvroo48+jgH600sffZyCqLXTi27A0XQzmcgob1hJAaYhcX1VXrjq6MbVivJvlxJ9vuARtSzcwMeSBrlSQKBUNU1HxDIwpVbgLfpBfSRtG6RCVk/qvsuB66u69DGd4HRYeK4U4bJT0lcKP9BKJ4YUmKuooLNWceo/YR/HEoYUnDcSYywRohQEWA3h9rYhuHws1XRdU79LpWBubtn1kC96SRNp4ETiVCWyRSxJpJaMWH6RdZoN1d2W3ssvBT5FL2A6tzjPnj4cxZYGrq83rNYCTobXe7RFCtROUOjvZ3dZOeC0wTAPzqw+ue17u2Y4MFfkKacPNTlCT+R8JITAQGAYEIoYDIZsJnLFjirohhRsSYUIG2ZPzsvVxuaEw+1Hlp96/ljAWJI01jsKJ7EK62oqMq4E3YflrQ0caZEJxZSCsbKq0EpQ6JJIBbAxHqHkZXWa8z46wpCCs0bj3HGktULoqQI/gFTIpuj5TB7jbBmeUh3JwdBa1agVjr+C/+qNONmST8hsIEK3eZzasc71VccN7APfvBkyGcZeeDXSX8yJFBgGBz77HYgtBjV123o9m8FvflsvZ9eVvXMoBkorrj7zrFG+dPdE2+uWwmjUJmIb5FyfiR7tyFZoNAUEMBg2mxStbEOQet8/rPh+S9anTBjrFtacVlgzf/0LoDe1WVkq1v3dzZfQrSnZajjwAtXTOjhimfi+4rx1CU1yEYsKwKDn2oLncWC+gBcEhC2jSl4eDJtIIVgo+RxO50mELCKmSbgSqNChIr2MQXM1hJ1AseQCu+QF7J0v1aXqjjlakW8u75EuE/523vS1cl16Q+U9PnvXD9h15bN45RuvrQYp1JYlVcDz3/ZyAuC/P/Ct6ov1pcQIgp7uO7HtLDYMhDkwlUUB0wtF1idDXHFaioefNsTB6Szu6HqsifEen2YJ+D67XvQidn7606tbbgsc71npH596NVc5oa7Sn4MO0vl+Psflj3oUgYLfjmfrjkXt5q3AsG1gff4G4h/69+rzvRSYevaL2fU7f8hZb3wlA/se4M9rrnnMvT+Bz0J60zZu/efrQekwjIlsAaUgFbYwpZ4Lc26ggzTKRDnHEBTL3534jxtIPu7Snto1/edvIRU2y2OBYM9MoW482jkUKasVLuJQukCmgy3dmDK83Tlfu1ePs4/elsSSgqGIhdPxqtbwNmxgvuARd4yqkrBjCixDki+vIZ1Adhn80IJ0tYw6LYUjb3kb6e98l7M/d+y/sz7WFha+/8NjWv7Rf/qPur8D2itmt0LdeYFP6s9egzs4xOFP6aCpzQkb0OPP/VM5hssCAKcNhkHInoM3K/NrKVPg4Gyei9eFefLOAaK2wVjSLtuPNjP5+jVXpz0AqxzsptDBR361xvUYashY1Kgea0pYH7c5b120rAYPz33bK3p6vnYI7XmwqVYBLDtjyQVfv4HfPv06dk3n2T9fxPcDMkWPK8aSXLguRiqi39t1l29hz0y9byNT8jG8gB/vneNJOwebxm9Vs7gJWzo4sSMhvMU4mgyZSAkSUT2lMhcbQpNiS76q2ptKKRxTNmV6my+vIz7xT1/kpW987uItK3WtOTcTT/H9936Rufk8EcckbJtsHw6DEIzG7LrgOlMKZnN6LVj0g4ZyFY6hs9dIoe1ZQwjijlb0leUgdEMI/Zw1zyYEZCrPhFYPrmAoYlVJ2rUoeUF1r9wNFHccTZNwDH6wWwdaPv60VNM1FeRcxeGF5nXcYKTZXhmJWsRsA8vQxGzbEOyZLTTVKemYCNNCeStbH1oSYo5ZzYRRgWMKDs3kmVrh+vOnX/5ffud5zyu3f3PW4pPJF9pHH3300cfJhT5BuI8+TkHULmkaN/hLZYJrrqJmqLTyIaxO6q9S4CMU5JbYkJ4veMwXFgAYjtoMh20KfoDrBwxGLAquT7oY0FaNoAbrYw5h2zhuRnO39+kl9bdliGpKy8prkKLsFFAKS0pEORutHygKblBXDx8Fvk5l2sdDDf3lYq8wDclQ2dFkykUnSDfE/wqiP7iZ7CVnL7sO4Wc8a2Xk4LXB3To26LFdOimChSyjmnarE0aiod5uWka66HF0YXFDfcdgBFv2x+ETgT0zeSKmJHcMSJn3TWXZP5fnVQ/b3FNatdVGJ5VLQ0rWR0MMRWwms8W6AK2QKVkXc4hYZlm9V5VV0k4Q1uD4lSv55bSsrVMR9ooTScBeDayRbMCnBPxAkSm4xELtUxDXqg23Q68jW/8Vrk2cyJFBAevjYUKWeUwrkiktbXd1O0S2Spu7XBT9oBpkC7T8SAIq6X9rsbwoMkuKroOfIpZgXTxUDXR6YCrP5mQHylEsRv7GW5YMovYCxUDYqlMaa4QfimAUelMnjT7jWT2dXwvXD5gvety0Z475DvVaCueui4OC/fM5HLML27vF+9YKkItoDBbKlnwu3BDnhw/WqwiXfEUktzxF18aqGFIQqlGZN6UgU/JJ/cNbeyqzSurNZBj6aDvl0M5IhU2U0nUIapQ061D+HAR6DV1R2OwMreNWqWdF8dk2ZJU0CLotbMNAAEENmZDy1ap8/8p/a+EFClManDYQRYhKIH1OB/cHikxR28VFL2Aq57IxEWJY2EjR2ebpNn6sG3JhI5TQ65danDYYpuAFhC2TgbAO6Dvvx1/pqdxGPP7rH+fxX/94W7JV5TcJvPS1VzP5/VspeoqfveczPOb1L+jqHpUm/Nmb3suAZXD+WJIbbj7AmCP4wnfv5ZzzNhG2TQ7PFTDf8yke9ZKr6u7drsxeRt7CT37aw9krw/G0sUK33orvhLtuDCEE2yyLubxHxDaqfSwVMrEMQdBIhLv1p0Te8obF62sOjXzpU4x86VMtj4Fuh8ShvTzhxVc2/T7z9+9my9OexmzgNc1BMduoI+tGBwYxZ2e6Sr2ugLknPAPKa92wJfnV4YW6804fijb5ZFZ7bZYMmeRKPoYUuJu3YR/c29P1xc9+HXIuC0WfwYjFTM7FbDB6/JaDU/NzdEseXwrdfHPZH/+UIzf8Dxuu+91VuWcfD21UvunkcBJDSKSEkGmQ+MrnWK6VVenD1sw0G176LI5c/+XqscasZL5SLKSGSM5OLuteAzELQwiCQJMipRTVwKJuP8vRqE266NUFl1+4IcHRhWLLTBuVcjc9/0mYC4sBrgrIXnw55vs+zNFMiZGoxZaUw/nrYpieu+KlX8UOmy/qoDw/0CTJoYhNJDO3LMXy9ff9ltufptg+4LB1IITvBwyETRZKHpsTIQq+R6AkOdclbEvcIKjbtyl6i35Nx5CYhrZfXV/hBgFGeUxV5XM7IQgU2wci7J/L4ZiyGmjWuFc+HLWJOQZF18cPVF12GiEEwxGLQ+n6oDvblGyLW4TWRbn3qzcT+u2tbPvr/1dXbj6W5K1/+EGSEYvNeQ9si6wCzwtQCH55cIGBsMmlm+LkSgHrYhbzhcWMUSVfYQpIRXRAsOurciDOYv1DlqwGpFR/K6vYN6KVXoAQMF9ovXZrFYBT67t2G9qqFu2UuE0p2DkUJlC6/OmcS8Ix2V1jO5stMvYAZPyAHc/7K3Z95u0ty+6ECzcnAEG2pLNh3Dueqc7H525OYBuSZMhkPF3knA1xnBVkCyt5AVJoIjJA0LAusVbRF9JHH3300UcftegThPvo4xRHK9JvaQlVmpVg13S2ZyXKqWyJqWyJiKUN7Ll8c3qYdhgKWwxHnHKEbe/1XQ4qGyaOKTtuJpS6JCk5pt4gybvtC/O7TovyEKADnOSkm9VHvz1WAi8AQ/SmYAQQtiW5F74Y9dlPLX1yI6I63/OxGof7OH6I2SaTokigtFKNY/RN6xMFBSTDJrkWygOrgbwXMJ13GehA8jvWMDsQhEE7pG1hsCkeYTjis2taqxyELIkXqHKKQjraGw9VTGZdbnxwjrNGIqyPWauyibwU6aSPhwYUMJMpEShNfgrbRt1GfhAoJtIFHMsgFVmdvgenbmaAPlaGQEHCsRBicU0rhQ5U9ZWi1GHztNueuVpEldUuazJbZN9s73SDxpSt3SAVMim0mgDaNG8iZNUREdUqfcCGgKLXmbR48JNfZevzntA9Ge/Sy1ZUp/unsoQtyeF0M+mhFwgEPpoEoNTSxMxWLVqbtlYKrXjZiLAleMZZQ02/5886D+tnN/ZS5Tq4pl4z+IGq25ivBPhHfvvLZZUb/v7XkfnlZdSYOzIFqVTX9stA2KqqpnVCN1lzBsMWY6kw7bqrAEKmwAuoZj4rNIxXXhCQ87xyWmSvSiJpRWI+nC4wFLaXfM5uh6CQKfH8oKqKuhSW+sZr+6ZYwXAg2vy707nJF1/D+PVfZred5AppYAb+kkRegNLYVn5w19G6Y/F4iKc9YhtHCj4zWZd7xzOsS4X5+id+wNNfdlXLuqkWv3WLzB13EDv//GVcuXYREbJndcaEkDSOsI/cmsQLAiKWseiDuvWnbC2Tgxvbu1bZsN276PSOkn/9p0z98zuZ/Mw3lqzvoU9/k7FrHltVMm9FRK5g/5dubKhDC/XcZXSeboIBauthSUHMNhgIWZhf+WbX4gEKCEw914QtiSinUk+GTGK2QcQyKPoBlS2A4ahdd+eK+rof6MyPXqBIl3ymsi5K6bElULAxFMUqZJsr0KFe3TbboTf+VZ8g3MeKUenV37rqdxk5mmUkqUUbkiGF+bOfrbh8AdhHj0A+D+GwVg+erF8HSCH40t9/kpe95ik9110BMxMLzCwUcTdEIe7UkfpNQ3LOaJxd05mqPbIpGSJum4xniszlXXylxSrWxeGO8UWy7wNTWQotDCJLgvV7z2Xrnj11z1lB7Ne3wKMvxvnjv6T49Gcfk/2GyUyJkCnJlHz2zhY5YzhCOBpb+sJWCIdIz2aJOiNkCh4ZT/HZOya4aEOM7++eZS7v8rjtqaoSsikFw1Gb+XwJN4AtqRDPPneUWw/Oc3C+yGWb4sQdA9uQxGyDQFFWDlZL2qKB0tkqzluX4PbxdF0GGEsKtg1GiNome2ayZGpJtg0D54a4FqMpeD55NyDnBmRLPhsS8SrpNn3eZXzyQ99GAZtiNsoPmFgoovbOcPkZIxyq8WkXfVW1CWfzHt/bpYMWn3n2MEMNa1TblLh+wELRrws+rD5ji9WQbDP5mYZABotzSoBW5Z1rYfe3CpKL2Abf2zVT/TvnBiSdemtGKYUQ1BGqa7F/ttAkANI4v3sBbEo4TWX4SvDkZz67JUH4HNPmBdEY2w2TALjPK/H5XJbdnsvY01/H7Qf1t3jlWSM89vQh5gsumYJeX+ya1+9mAYgmwuwcCrOrnNVQLUNs4uLHPrpqfwgBtqH9eJU5ub8F3kcfffTRx7FCn8XQRx+nIGqd3AttHPZ5N1hz5LScq1MBbk6FmMyU6qIPI5bBxoRDoHQEohcEDEWcGlWR4wcvUKjqInPl7SeFaKMMsByc+iuHU/8J+zje8NWiinegulTWVBD9i7fgDo9Q/MC/93S/6I9/iWWIFY2//e9gbSBkGGxMhEiGLC0DtUaxdmu2iNWYB+cKHpuTDgfnV0Y6aYd2igfHDT00UcQy2DYQJuv6zGZLjEQX0yqecKyJSrTGvZM5hiNJViMhgxSLCnwnG07OWq9d+Aqmy0qihoBkxMIxDQKlmFzQQSZ5N2Ah72JUdo4U2KaoEgR6XXMEPWsO9/FQglKLqj4VkiWsTvBauAs11+7JxiuqyglBRQmwFdo9z2zerVM188sBBX451bBQzfkyuppehKjb4G6JWIzMn72J2L+8sy1BqPp7KkX0Izd0ceNjjzuPprGkVsqaXGF6V9DpY1u9t1bfQ8w2mH3rP5K4+vJl3+9/3vlZ/Y+GBq/8GYSiwHTP5eZ3nEn49LOxDx/svVKpVE+nd2u7d3PWYMRqSw4GTQopemVqgxAUaoLdlNJKcfvn8y2zeHmBqn5PtagESqAqKb2b79uKfFiBbQjijokhBRNt+qACxhdKjMZsDAF3TeSI2gaG0GraFcRsg2TYJGRJNtWkQkfBXZc/hUd++/h9d87RI/xozywgOPqtn7Ph6suRZWOkHXHTHRxi+mOfJ/793RRKfnVOEZbJ/VOaOHHPkQWk0N9aImIx84NfMvzxDxLc8LGmMpc79I+/853s/PSnl3n12kRMyJ4tuhI68KBW1e4b9+nx5MrtqSrhZFsbcnAtlvMuKkqT1tw061/5AvKf/N9qOUIIDFnOoFdT+My3fkr4DX9E9De3thwz/GSK2S99j2jjvQScPRLRxFulysQahd+olFyDgZpgkGpdDYEpZTU7lRSiaU4wBDzjrCEUWol072yB0ViB6ZzH8//+XaT/+q86tkulb8dvuR3L8/nCnYuqpVdsSWAmwkzlity8f575godlCB69NVlXhqcUB+aK5Eo+E2Vi2I6hMPtmC3Xn/eAjX+Mp1z2+Y31q0et7zmQyxGLLJAX2cdJBxGKoTGbVyqt84/dsOJNvnH81L605VvQC5h75eJI/+uGq+DE3vuL53PrhLyKFYMdQmETILAfpCGK25LTB0LICU24/+5HM5V0M0yBX8BgqZyAZDJsgBIaAqVyRRE2QkiElIctkU0JWx5cHphea1FrbZWUdfsULsA/sa1nX2qCO9e/7B/ZHY6jHPal6fCVzay1KfoBlyGoWEC9QHMwrti6jrE+f8URUoJjLewxGLEpBibGyP/dQuohliDpCqhcoprIlzl0XQykQSAZCcDRV5OB8kQPzBc4ZjZIKmbiBwpQCid6/tU2dRyFQS2V8bW4lhUKimMwUKHoBjiEQQqBQTesxKUVLwmvRD4iU5+RAKTYmQ/iex1S6QDxsMZwK8+yHjfHATKHp2nxDfdfFLDJFj0xRZ/+wDUkQKIp+UA3cs02pM9MqpbPTBuC3YEi3UgqG1orL7cjEIVM2EYTTBb+ujIWiX0cQ9gK4eX+6bTbjkajVpCycCpkcbuHrDzc4b6XQ5+YDn/WPfj7jP/k8ABsMg3enhtlsmNhCYJSNobMsm6eHo2QCxT35OT4LxB2TvIKf7k9zxZYEtmmQD0pAvb0vgAt+0numD6UURaV49WteixeAhyYHS6HtmpPQBdJHH3300cdJhj5BuI8+TkEs2vuKdL69osdaIgnbhmBLMkwqbJN3A7YPaGUjpSDresRtk8p6qJIJ8kRxLjqp9y0Hq/oc/RVEH30sC66vyREhS3Q1LlaOm694NeYrXk32C5+Fd75tyftEf3UP0I8CPtkhhXa4+YFiKFxOAd3FO+303lvNBQfTuTrncNzRyjKV+3VS12k89vSzhuqcxpWTayknorFQ1bnORU/x3RpVgJVgNebCvBswlXXZmLA5nF59JeF7JrOcNRIlZhsdCQNrBcmQRdQyGY7YxCyjnFqv/di29p/o+ODnB9JctjlOeAWp4qB7YltmfJxffPFDSMvismteSWz9+hXd91RDK1W5VsdPFlKzr2Am6wLNRDRfgV+zkWKU07Cv9tqjjz7aIe8GhG1JvrR8/8BMfun5N2IbSxNXobpxdzIhV/I7qFS1fp5GGyhTCvjerll2DIbr0qjW4mGbE8Ts5nnKNgSJkEW+5FPoNsXSNc9j37az2PK632tdP0Bc+Xii//rB7so7TnADKLj+qij2pwteR3J3LSK2obNJSYkMgp7sJwX4ps3Dz94INPcIL1AkQyalP/1LnD99TQ8ll3HeRcycdxHxH323pzotB+miRzJkLqki3E35B+cLnDkSx2sz3wUsZvypjE+BUriBz57ZfEeycrbkMxA261R5AX5bo9YHcOGGZNP9Q5asKnh6ZRJL1NYBPlHbYCqr0x23rLOCn+ybxw8U907mGI3ZdUTiRA1RYjRm8+BMnkPzRcZSDgfmFgkQpcdcyyO/fcOKyD3dXlchS26+51dse+oTOHc0xvy556LuuANofpcK2P83/wRXXElICM7YMkjUkihg3+E5fKW4aCyJKQVTmRJSwB0H5ti5Lsajtyax/uT1zLzqdTw4W2A8XWRD3CbumGx96vLI94Wf/HRZ1/WC422RXXDppRTK7d8Nikrx40KeX/7LO3nOq/+c7QNhpNTvNlfyuWciy0TW5YzvfI5tHLv1X6UvOQf3MVXy8QLFcNRmKltvI8jyyQNhk6l/eD9TgPjVLxj+zMdRhQK/ueBKHrjqWfrke5uDJjYmbC7fnMCQgnTBxQ0of3P1ZMZ4zfdmSFFXj7FkCDcImM3XKDG2ZE3plOOgx+qjmRJnjUS5YssA1gXPYt2WLRxtoaxbVQIMhYjd/Gs8FZBtIADevD/NtgFNOq7A9VXT/CYRXL45Rbro8s37p8u10nW9ZFOcTNHn/qmcDlQtt+9S73g5Y8uhV7+WMz95fY9X9XGy4tIH7uaXG7asSlkV9d1bn/tqDj35OVyaLxEp+zhtQxBzTPyrnw7veuuq3M+amWSh6DOdcyn5iqedOVjn7w8Cxf4vfL/rbBqVz/G/nvxHnJmMct/RDFvzHtMN9uNQxGr6TQqdAcELFEPlAH5daEDUkVXCaSXQIVC6foGCYGGhLTm4FpWxd8s/vJmpJ18NQHF0A87EkSWerLvndgxJruQzHLVIhixsQ1D0FEE0hsxmuhpLKmXt3Xw2z96awiiLtViGZKHoY0rBaMzG8wNSIRPTEPgBZIo64+xdRzOMxGzGEmEAdgyGCBlCB3tIwUS2xER5jI9aBlsGwpR8TaKt3DtkSkQ5WKvWReoFqtqGFYwlw8zmXaZzWvVZH9dnFD0XS0LUMTGlQORa28TZol8lCJd8xYa4zXxecDjjkS/4JBQ4lsH2wRCVUV0IMIVgb0MGnIs2xqtZa+fyrW3xdAvbvJX9YnTptDQEjCXCus3L6/MHpjLkXB8/CHBMgRS63lIIhIBtAyFcX2EZgoGGbB6GbJ31uIJEyCRiGZiGLtNX+t3eP9WcDejgfJ5tSZtDM3mOzOU5OJ3DV7B5IMTWp78WOz8Fv/4xHxsaJSokZoN/wRQCE4FjwKPv/hGRZJz7X/CHFBDMFzzun8ohAsWv9s4ihA5qHJ8vIgU8WHJ5yac+ANCzevB/xAf4zS0HeMXDxxBC4PrQZknRRx999NFHH6uO/pTTRx+nGCrKtgD5UudUi1bZU7TSDZVS4DO+UKjev1cYQrBjMKZTiJZt6UCVFYxKAWHTpGNw5zGGFOCUUwYCq+pBNSR1KSVXipNvC7WPPtYWtBqRImxpx41WLNcDm2NK/EBHy4PeeKikCos+74XwvBeS/dqX4a0tlEP+7E0Mv+ylBIEm6GknTJ/wc7LBEJW0XWpVFOQ73kuCKSV5d9GpHLFUnbr+icaq9uBVmsAKXsBsG6fsSnHLgXluOTAPwKO2prhsU+KY3Gc1sMgJEkgEObeLt9U3IgDtqP7FgTSP2ZZakXqldhC3b/dP/b9rmDu4q+63u7/1KQBGz7yY573rf5Z/8xViLXWFpXrucsah1Z6Bl8o8ELLq1Q67RcENCFl6s2ApNAWMqPaKMLBIBtAqJXoTp7KpQ93/1weStHqKxvVf7fn3Hp3ngcmFtudXAkKVWvx39bfq+UqvExvqX19HCNRiSua6c2piX2rvUcFw1Oac0VhN4EwtRMu/Ku1XW492b1hQ396N44pqOKfym6cC9s/mW9Rp5agoZ0F9KkylIGpL1sXCyy47GWreEG9ENyTMkxUR22Am18ZGbPNNJsMmrq+q/d6UsCnp4HZw0oiyOlK135Q7kWlo4pNlCCwpsMsqjQJR9y3o+wgsQ+g/dp7J/m/dAsDI61+JfXAPKhzl8F+8A867iHNG48tpjpZYzQDphaImKUxlV96nulX9z5V8MiWf6c9/j63PvaonQkkgJQe/9uMmFczFOqA3+c+9lDjdE7cqhJtkeQNeWRa4btfzee6Sh1f/3YsNELYM/EAr+LadC5do1phtsCkRLo9LrVFwFUcyeebyLmHLIGIZTOdKXfsxlzrPNlpn9Sp6qo5IWJtGuUIwypQ8hqIWnq9V2hzLoOj5zBf8ujIbVYbriAQ1/zy6oDN/TJbvqwJFPhQlXMh29ay1WO6ndvq3Psduy+S0d7+xVRUX52chiF15FbBI9DCkICQF+8sqeImQyaZUiL3TmtRxwaYEmZzL/tk8RT/g6EKR+VJAoGAqW+LwQnFZSoSg57Z7LnsYZ//y1mWWsPZwzje/wXc2bGC9YTbZQu3ww0KeP/jW53j4jV+t+z09OMo9//m/jCVDnPfl/zoW1a1DxbYZfP2rmHjPfwJw1misbPcpfKXYPZ0rByXX2CKXPJzJSx5Ozg144EC6deE1d7EMSd7zsQyJGwS06vmdiDsVkttgyOFgOk+62NqXUFtCRZ3ZlBCzDIQA5+GXc9bePSwcGefQVVdBPo+SkvzOM/A/qtd4M/M50gWvSoisRav3a0hBUBu4oAK+fPdRQqZkKGKVlY/1obvGs1UbPBEy+PFnbuKxv/PYprrXYrljRGHv3mVe2cdJCympW2gtAwrIRFO86klv5XEXbMbxFdgWobLtUvL1nBuxJIEQSKVW5JeojEHnjEbYP1fkgek8Ecsg2vj9RQfJfvzzRH//+R3trsr3csPz/xzHlGRLHhUzutW5jiEo1ny/eddvm3FgKWx+4dXVZ1oKlef+zcc/zcErnszAP36Sa3//Ccu6by1y0SS/2j3Fvuk8F2xO8OTz11cFCA7+04fY8trrurZb5558DX/ypJ3VDA9zeQ8FHG1on5Kv6lSEI5ZBzDGIWQZzBZcHZ+oJo1HHYK4mICzr+twzoQNGzhtN4JiL5Nu8GxAQMJEpMhJ1sMt7PevjdnWvRwodpBYAybL6fEWVGEGd7eoFipgtWRezcUytSi/LSsMFL2DXeIbbD8yRLrisj4c4fVMSgC2pECFTtiS/7hgKU6zxBZ23LtpkLzeuX9rt87eycxvnnW0D4WqdUYKgTFqP2kbN3rwuZywZ4mi2WNPeNX3dC+oCXtbFbAKlKHiK+YLHRKZE3DFYKLZ2dAlg31y9mvJZIxG2DYQwpWDfbJ7KlkzBU8xkXX6+qz6I6OBsgeGYDc/7G9578CUtn7fxngq45Oav8VfRR3Ha+jhb1iXITziE4xF2HdX96PxNCfaVbdr05KzuT21LbYZSil2eR/hvrmfvdG4xiGgtOWH76KOPPvo45dEnCPfRxymGWmN9LlfSabtobWSaUqxIHah6J6XaGvQVhEzJupjDvrl8tT7bByKYUpBzfQIVIIWhCcGWxPUDSmtA2diUAilap5Y0ViYsB2ii2Wq8gwr6i4k++lgdVL55y9DjgBdo9Y5iAF6NU9QqbyaGTEnODYg+41nwjGdVj5tSO1b8YFHtKGRJVmH46OMEwDab1aVtQ1Sj7l1fMZ4p1hEfTEOTNX2lkGVyxnDEZincN7XQtNGeLnrEHRMpWFKt62TDak5feU8rTcwdwzb66b45dk1luWrnECMRe8XKdWsCp8IzrBICBT/ZO8djt6WW3Tk7XfbB55zT8dqJ+37NB597Lq/54l3Lu3kfnXGcY3TEMm+ogLyrCNuSght0JNU1HvLKakNLQe99Vak+PddxKeh57MSv6TohFdahFJWPttuN18Zzl1JzgrJ6aLeEtkA1KcwdD+Q9n5GYw3KtVUsufd1gpDtCZ7u1bUX1qQJDQqEUsARXf1nolczasf+0KStd8OuChuebs8s2wVeqo53j+gq3y2+6kha5gsl/+2hX151MWM2uUS0rGmXfv/4XW/+/VzQFLTTeUwFzT72W9J+8qb6sDhXLnn8J0Tt+1XV9Jv/oDeTLfWL+hq+x9XeesiRRo0Isnnzn+5a8TyMcUzAScRgKO0gJd4y3JvIt1fYJx8KUkqUEr21DEiitCNyYyrgRUuggGTfQ/1VKMRSxqnWZz2sVuIRjYJblVZXS82bdO1T1lWp138o1lbVZJZizlcJ3LWrv8+B0nrAlGY3ZGFKQrfGvBkrx7ld/gL/+t5c1XXes4Hsej3v3G9veq/K7VIqBqy7jwLduIeEYpEzBLfdNkikTLKWArUMRpjMlEiGTsCV5cCrLztEo9x1ZYDhuc8e+Oe48rAOJLtycIJUId6182gre+PgyrlrbGEymKGUWCC3RIvkyOfajQ6NA83iUmJngEc97NHzskytSpO4VobtvJxU2GQpbSAFKCR6YyXZUD+wWApjJlVr6aWphGUJnYhKadBt3DPxAB7XtnslyxnAMy5BYhiBqGzrAxlwkJxpCYJuyOj8nbMmV21MkQwYLJZdEyMILAnZPFtg0PMq6W3/DTMHjrqMZjmaKbEwXUIjqOJMteGxOOnoMLhOmHVOPAUH5HKUUP9s3T6C0Xe8FivVxh6KvKPo+UBlr9PZusWYQLXiKPTN59nzw2/zea65GthmJl9sPIhdevIyr+jiZcdmhvStSEa70wAc//BmemxM4hsBH4AYK31cYlWyhCIIADnz8S2x92bNWZaySQvDAtN6PnMqWWgcMbNjC/R/6Ihf90XM7lvUn5/4+I2c+DHehyELBw1fa1//z/fOcsy5Wlx2gWFYBN6QgahkrWhEbxeLSJzXgCTe8m+uveDIF12dheD3xqfFltWXl3f3FK9/P6eXN0DsPprnm4o3V9YvacQYLV11N/AffavvOKuW46zcy/4a/xmo4LloYxY2vKuf65FyfSQEDYYtEyCBdWLSZzDbr0JCpR8FFH7ui5Ps8MK2Dr2qDWwciZr3oRMOadTBsknV9pBBsjDvk3YAjC8XFoF+lmMp6TdlyEgYcnMkxHHc4PF9g/WCEDXGbA3MFxlKhunNtQ3DaYJh7J+tJw1sHQuTKduZg2MQwBJOZ+vqZUlQJzrVwWxjaje8pbBpI0dyGrTJtekohEAyEdRZgIWA667J/rsDumcXF7MaEwy0H0uwcCrNntoAAHrt9gFTI5Ct3T3S9fi/5qko63j6og5kXih6FcobkkCmbRLh2DNi85oN/ogPiu7hHxWv32ju/yPvVczln5yilIMDyAy7dmiJQEHMMzt2oA2ef969/3V3lG/CoO+5gS06Wg8f7m/l99NFHH30cf/QJwn30cQohUIsbjgXXX1KpyvUVjilQipYLh+7R2ZAV6HQshhTlxZuJJQVOefWfdOojdysLDseU+MdZOriiGlpB0QuOmXqxAIprgAR9sqG/bKpHvz2OLTQvQzv1WjlTKmm/XT9oGj8qCsNSLI4tCr3J4AVKBxmo7okifZxYKKU4MJ9nJOoQMhffZ8FdfImOKfj1kTSurzhzJEwQKL79wGxTWS+5aAOpUKM7VMMNfHZPZ1v2C9dXuL6HFK1T1h1vrOb402s6rqUwEDm2BGGAo1mXT98+zo6BMGeMRDh9KHrMiMKmXHn67D56g6/0O14Xa/2tLoV2XfqDzz23uwKU4sMvuIhXf+43y7p/H6cO8qUAyxBVm6MbrKZC5ymPfls14Z6JDGeNxHAMrQ6qAK/L/jdfXNo2yXUZINtqGE2GTC7ZGKv+XdmwdAMd2HEiEbWNqpJWa7Ruw2VZQCdxv12L+6Ba4XsZFTv7PPZ96xbW/eGLCe3b3UQKXrj0Cmb//t/aXq46vMipf/4QoWseg1EqVevYfL1GaXQ9+WtfuHgglWLfB/6bra/9vY7kZQXs//KP2tahE7YPRnBMWVYChYRjtlTeHAhb1fTRczm3Skqu4PBCAV9p4pvXgffbbVYHKbQi6FzeZThq4fqqTN5dLDwVMggUmIasKpq3UjZPOM0qn61RX7mIbfDbI5mOVwQqYGPCqfvN9RWerzClYFPCQQjwosNs3aL49vU/4CkvvarNHZvR6r13i60P3tnVeQJN5B348L+Qf90b2XUkzWDUYiBilb9zxR2H0ozGbM5aH2M667J1KMJ4usBUpsTGZLiqpLoubrNxMExgGHz5df/Ic97/Fz0Tw0Q5ffudF13Meb/5dW8P3ct9OL5D8GX33sPVsTB/mxzCEqIpPTZoInlIaB27Vuvq2kAlXv6SY1ndlvddKHh1qo6NKHqKmRbHx5I130iZSFNRS9T9T7B3rlh9ZoEm5ZW8oEq+DVDEHKNK3s+0EDg5MJ9vGgMqtvfOoSiOocnFn/3tBABnjUQ5mM5zxViK2bwmcFlSkx1NKQhbBodmc8wu5Pnt3jm+ML5Q5985d2OcULw+W0PENprURU1J3Z5ERQHSMQRSCvJu0HEeAfjvD34LgJf8xQswFuYBUEJy4J8/xMgXP0nk5h93vL4VTv/Av/V8TR8nPy47sp9f7jgLcs1Kp90gAIJwhPt3HeVIjTro+qjNFTuG+OSvDgMwFDGZzoXZ+qL/x+M//d5lz2cVe+PXhzOMxizOHom0HB8jliaPxrdu4v6v/RwO7ub0V/9u3bg5/vfvRV36cP5cwWzOrQbZSiEwTcnhjMtktsR0Tl+VcwM2xG1d97Jieic788INSUq+z+F0oZpVteD5FD21KP7U4/MDpGezPJgpUXjH9Tz/jS8gkplfVlnfOutxgBbNAPjzp53BHfvnuHT7YPUc7y1/T3bTZqI3fLTtqFS6+GHk/vXDpChn+alpEwE8ZnuShaKPIUQ504mk1n6rQKl6u80QOpDMCwIcUzatx5pUo4GIZWK0KN0oE2Qr+9hzeT0uJ8M2QaAQokI0VqyLh4jaBlIKDs4XUOh3N5F12ZJyEEKwr0xqVUJgmwZH5otsG4wwtVDg9HgI6fs6o0sNdgyG8RScNqgzbCi0P/ieo1mSYYt0wcML9BwRtmRV1V4r8itMX7enJUW1383km+3cSn2DchBKu35RarG+ncmVmK2ZtyO2wQ8fnGs6b3yhSMySFD3FtlSIizfGWB8Lc/dkhqhjErMNvEDVqUdPZV02Jx3CpqEJulKA0qrFgdIBMAAbYxbfvuMIAGetj/HA0QzDcYdU2CJkCI4enmZktvfAsWeO/5L3n/tcFnw4knZh3uUx560n5wbkSi53HV5g62AYe26m57KFEMgbb+TS5z9P/41+D52yf/XRRx999NHHaqNPEO6jj1MEfgCLXFPF0bnuIkv1QnMx3epqYDRqkwxbHEkXiNgGtiGxDb0Q21h2gIVMQWGJEMGiF7SMUDwWsIz2SsHtoFbI1Akdp2c71XCgrELdh0bB8/GDAKMLta4+lo9AdSbnuQHldIatr63/1hcLWu4Y5wVKO3GU4tBCAYmOEo/b1qoTLY87TkD1u7nlgusihSYBt3tnRU9x5fYB7jqaJelYBCjWx21itsGu6cWxK+/5DIrWpMPdUxn8JWoUKK1wMBA2yZb8FQb5rABrmJxitFA9OFbYPZtn92ye2+MLPOfc9cfkHl6DenkthNCqRvoPyu+l1Zb64tZKJVhh/mUvhpoN9K1AceMWxj/2+dWsfkMt1nDHacBs3mMk2n1K31q0uiYzPt6TwR14y0tB2UdnHG9ix2qgW2JUBSfb8602TAlR28RXCssQ5Io+btmQO1mCLU70KvHeSU1uC5mSsVSYsGks2bECpVhok5q7Ht2+hMWOPxy1GAzrNOC1SIYsCl6RsClIhky2D4Y4OFdkapWCqHoZ/qPlDc5Bs7UNslD0OXskUv3bUzrI0JCCIFDQQd2ojniq9L0Gw1bTVF8Z3zqRSRthSVFVV20cHyvl5FwPU4ol/UamYdQERmpsSoaa0to+YcdgXX2hYueI6kZ42JRN77vVc1Q28BePq6bnsKToSLCQQuArxUB4aTe5IWU1DXHlXsX//hxVD1xtQwpItSqkXDnHlEQsVfdzbVstfOdmos9/OtbkeNv3V7jgEgrv/QiqnJ65itPOZM83b2H0L/6I6G9/1URennnBS1l4+WuqPyihEEq0oGG0RtELqOjhBUqRClvkPR+3THCtqIPO1hAShIDBsEXJD7BNTUgIFBQ9n0zJq2lXDbtGWdhp8101ImIb1Xu2Uyp3LIOjCyVakU7qsMQAEHe0v5OyQjHoOcb1Aw7ML+WTFRxO96YIeP0Hv01s/ADPeccrqxrv7az95aCWhNWL2RH/8ufJv+6N7Jup99WduyHG2etj3DOeqRIfE6Ek+2cK2IYg5pgIdN+5YNsAQ4kwRddn9vyLmN28nYGDe5alHhlMTvZ4xdrHj4oFrps+ykujcZ4UjuAp/b5CAkwqKdOXbqnK0LQSAnkvqNxrKXeFFyhubyDVbx8IN31HttFaGbEWgQrX+V4ANjeQ8RvRqh0MIXBR1XTutefsn8uTc4Mq4apC7nF9xcF0nnWxEJMFj5FkiNGEw/7pLNlSwFUXbmTvkXlcXxFquF+rOlQIbxX4qhKYLtk6EOaO8UzLOblVWbs//a1qoDuAPLh7WeTgPh7auGz3vctSEq4ElFw8luK0oSj3T2RwLEnYMTm84HLjbk20u2BDjLmcxzQe+x7zdD5x8ZVc95fPxwiCZY1bP/j9v2Iq5zIStbhgXQKjwa5UCiYzBX68b54LN8R0poBtO8ne9KsmAqpfnpAS0fqMcF4AB+f1+BW1DeKOwXzBI9IgIpJwjOp4ghDaj29oAqfnK2xpMBpzCALFTL5EuuAzGrMprCCjzAMTWiE3bEk+90+fY9tPvsGVn/r36vFug42+/pRXANrmNiTkij63H0pz+sZE/QW/+yqmfvdVODd9n5H3/yOyWECZFumnPYv5V/yxPqfgLbZnA1KOWRcE02j6hS1N/m1cz/tKZ5LLewGDEauJIBy2mgnCxcAnUVa/9QJFuiww4QfaplsoekxlF/1x0+V/D9e8/9sOzqNQRGyD4ahNyfcZidrsmyuyv7w3P5ZyOJIuEQmZbBkMky54OJYgk3P58Od+yeaRGBObh7AMyfbhCBdsHeCmPbN17TMStUiGTOYLHg+WCceJkEEqZJJ3A2xjkVCugBvLRN1XXraJkKn7XSuCcG0fFw3/L4R+3/dPZfCCoKrCG7ENgqBzJptaBArO3xDnsk2JatYNKeGc0ShC+QRo8bJagvBcwWOu4LUke+8c0tyC0ajFd397pPp7yDJ0OekiR9NFxsKS790+wZ/S25hROfcxD9vKloEwEcdg92ROk7hdqhmPZ3IlZiMpEoXOAYGtkHzG1Vg1IiBaabznYvroo48++uhj2egThPvo4xRAIzl4Kl3saUPRK6fdsyydvrZX2Ibg9KEoohzNX/IDTCEZS0baEipKvlrSsSegqgxwLGBI7fCrLHqWIiw3QWiis1Zo6I1cDO2JPivBQ0Et7OhCFzlXH0Io+QofRbfaNn2cGvADnULSNARHFxY3TQbCPutjoX6KolWETgOpmFgoESjFYLjz5lLRVdx+ZIGdgyGGow6P355iIutyYK5AsTznffHOiZbXbkmFOG3A6ZqMMpv3SIZMSv6xVco9GTGXd6uOQ19B3vWZzpY4lnE5hxdKZEpeNc3nSmFIXW/L0ASZvBcQMmSdipAUMJEtcjTTG8Eg9l/vY+jzn6z+XdvlnMP72Xr15aQf+Thm3/qPK3yKZnSX3O3EI2ob+NV006rn4ItWZ//3a5/Ycz3+88UP4w8+dWvP160EJ8cbemigsl4q9rBOUQ+FBUEHVBTX51tsWkVto0qOONEq/EuhsxKtRsSSRGyDgqvVkuby7qpnpih4AQ9M6c3lM4ajRCyzrZr1sVy/b4w7DEWa59fhsI0fBMwXvKqy8OYtDl+7d/qY1KMTfKVaqpDWYn28llSg2DVTZO907wGwOwZDLTd6l4Ph6NJZKaZzLlHbQEBVhbEVThuMEDbrZ5GQYdK4WD17pDlQLmSJuixY6aLLgfn2bVNLQl0KMcdoqRq5HEQs2ZQ2uBFDEYvpLt7P2SPxunVboBT3TC7UnSM+/3Xynk/4HW8iftP3NMFPCGZ/52VkXvpqfVLBI/F7z2Zw8nDdtQq47Skv4s5Xv6t1BRqUvnYOhSl5ATuGwq3PbwMpdKBqbNCsIXQq/CBguuBWVXyVqhl7G95HK6JBwjFZF3OwDYOIaXHWsMG++VxH35stW6vN1WKhS1JDJ3vIlDqVdatvpxubcbkjZWb9GK//kxt42f+9h4v3/rrlOS5gsTx7zqO3zaJO98iUfPZN50lFLC4/c5SYVEyWSdFnro9zx6E0AMMxmwOTOfZMZNl1NMO5mxP835s+zJM/9FY2/vbnPUVqnPTB0h2wz/d4R3qWdy/MscUwebQT5mWxxKqsUY4lAqez/wTafA9dVPTo977Etv/+Z+JSYAnBJZbDgG1zuWHx/Zf/FeMXXtFdJVvcqzI2H0wX6oJMgOrcM1fw2F2ew3cMhdk9nSfuGCwUs4xELO6ZzJJBErZNsqUSP7hdj9FbBkNsMBdXxQIoFV0GbMlIIlQmCwmOzubQMQiK4WQIU0qyC0WKOZ8pQ7B9MEzIFGxOOii1SMh2TFm1NwJFlcx1JF0iXyaR/d5rXtxtMwO6DkIIzvy/L3Z5RR+nKsyNG/EOH176xBY4mC4wOV/k0GweQwqG4w5uAAfni0gBUcsgLWvm6FiMG97/Tf3vTIaXvvG5QHfEVgUceNjjAHjijiEUomWmgmTI5ozhsCYHo4N/Gu35RMisU0utu5cKGIpYSAHnj0TYOhTljvGFpvNuH8+yd3ZxT+uiDTG2pUKMxvUYmXW1CvFC0SNiGUTLpNZ00WeA9gGA7RAg2DIQJuoYpOfzeIGi9JRr+MLjn4E4fIDn/c3LO5ZZGZf/8kXvrv4mhd6PeN/3d1f/bmWKFx/7BA4+9gnVv+0GRrCvaEkSNmsI3HHHqPMdOqZkWyqKQJHzfI5mii3tQUNoOzxQkC7otXHIXFyICCDjuuydrV9jDEc1sTjvekvsES8eK5aj2Ep5D4EmqXqBYmsqxP65QtnvINg5FGY657JlNMoDu6colFzcosszHn0ac0VFImoznysxPl9g3Xy+rl3Gkg4H5otMNgS9ZUsBqcZIk/rqkS56DIQt8l2QzHUgaMWC13vMQily1WsXA1Q2xUNsiOtzQ6bEV4qb9rZX0w2U4s6j9d9E1DYIanS6B8LN31jRC6rE6ApKvmJTwsEteXU8hvvGF7hgLMFvDqRZn3AoZPJcctoQfH/JR2+JH9+6j/DDtrAvH3D1BRtwFaxzDL6/O815mxK4XsCP3/DPbH3zi3ouOx7XPov+Xm4fffTRRx8nCn2CcB99nOSoJwfDZLq4rI0PX4HvLk+xN2SaiBpKcrgLZY9A6YhMQ2r13iDQfwuhneyBUkgplkVY7ga2qZVpKgRlx1yOi1RQ8AIqCyTbECjoKv2vY4qeNvr76KMTTt0tkD56xWzeJe/6nD0Sx5B6TOpmHD2F99G6wkLJRbaRZ/QCxaF57cQ1u5Rw1OcJhmI2phAMRUKcOxrnvTfv73jd/rkCOwZbefjaY77gMRS1yBS94z6vCLno1B2OWswXPKQQjEZtDsz3Fsyx2l1wKue2VA9cH7eJWFpZrJ2DfyX48d5ZHr0tRY0wiP4vi37aihO9lkPVqMiXd726+idCBnk3wPMVF2xIsFD0mM6VyLu9K0jH/udjVXJwY7svumch8bMb4R1/cUxIwicDouU0r+evizISs4lYEi9QmEIwk3c5nC4ipE7zaxuCnBuglMIxDRZKbfqWWoZifCG7wifpoxGrMd4ESnWt1rZchMt9bq0hGTKrisaGlOU1VYAXKCSC7ApUjlYKAaRCNlO51urb2ZJPtqR1+ociFq4frFlDul21QpYkYmmi5nTOrRIVMyWfkCkJG2LViJCNuH8qy5nDUUxpYEqwjEXfQaAUs4VSV74Ey5CcFtcBbemCy3Su1JLYbBuS0wbDHJgrsH++wEA4SipkkS6rFEcsg4zrEbMtCl5A1JYg4LaDaQbCJpmS39XavBO6vdqQgtmeSeeiTs2vF6zmyNBNWYYUWFJ0rRa1HIgG3d+H+vqkgoWix0DEJv2WdzLn/33zCTf/iK1vf2P1z8Zmu+zbn+bSb3+a6z/47SXvdeZIhKLrdxdooJpfUEVdrFITQwqmsjoVuWNIoi1IN50wHLWZL7iMRg2t0Cklg2GbQ27rdcZwxCr76OoxFLUQSld5JuuuWEleoMex2RWS9DcnnbaqvXWKz6pGVV4pdoxGuemVb+EmgPlxLvnJtxGz03zjwmvJrF/Pe//9up7rotD3kMtML9fqinjIAjQBZyrncu72ZDU9ea1SdsQy8PyAXZPa5pVAKmTyize8k2e97Kqe6wKQyWSIxWLLunatI6sU93ou7xkYwV7mQFm75jvWQ232f79LMtR6C7Jy/wC4cEOMTWWl34IXtFTYjrgZbnj9CxEH9/LqeJJrQ2FCkSimAKv8JIHvY/o+V//H2wA4dNljmH/HP+P6WllR1KzFAxRKUU5jr/veQMSqLt7Dlqz27SBQjCUd/S2WybKe6+Hli/qTGQixLmYxk/eYyJTKWcgUCcfgNVedRtFX3PbgDD+4d5KSp4gbgvvGF6oKnxeNJfnNgXle+qgtjMS1T+gHd6Q5WCaxXXXuOvKB4uYHpqrt8aizRxlJOBxsUFqOWJLxhXpbOBk26+ZwSW/vXgHRqx5H/OEP6+GqPk5FXHTbz5elIgxaYb/k+8Qck71TOY6mC+zYkGBLmel4ZKGIALYNhKokRU1+V6iEw9Hv3cr6Jz6sK2Lr0a/exFPCYfxAlQV+WsNHEXfMKjHXMQ38oHxPpccM05DVDBklN8Av55AQCmYzJb7z60MA/MCU7BiOcP7mBOs3JauiRNCcCcELFCMxm3zJ42A+X7eGqgTjVdbVpdH12BPj3TYzAG9+4T+Rm8tzweYEtx+YRwF7J7NcfsYw8yOb+PzbPsbz3vbyttcr4MN/9Z/sHFqPKSWmIaptUIEpl1Z1b3fecNTGV6oa3BCU/x13TKKWwVDEYa5QYjhiIaVgIGyXAzcEUUuyPWXiqoCZXKkuWKtUDkqDsm8gbGIaoqrQejidb+krVkpne2msY32LUC231r9rm5L7p3Lsni6wYyjMvrkCW1MhLEOwazqPJXWg7Wwm4Ju37NNtYgj+4KwNeLLIE84ZJfr3byZxo7bVHwbMjo5x47s+3nYfYjrnsimh61dLoB160//jpb++pfp9VHIqjAnJgf/8JIztaFme0eI+re6sicRyMcBFgO8rprIeI2WSdcELqu97LBlq+f1lawJOhRBcsTXBQtHXc7MCUCglyJQ87hhffD4vUBxOF0mFTK65bDO+UhR9RdgQ/Gb3NJdtSTE9vcC3fnuYR5412rPyeMUeBsjnS1w0NkSxPJePZ1wuHEvx4GQWy5AMjyZ7VzY3+7TgPvroo48+Tjz6BOE++jiJoVS9cvD0QmnFm4HLUfxZrjPRL4fzVhzDAv1MVWXdVZY/EjUOvlrFl+WQoluhVE6laBnQaV9cCu1Y7GN56O8T9nEq4VgEQfhKUfSCKmkpZAlkiy+n6sQQkCu1r0dlTAuZsuWG62rBlIK7JtJdKx9WCKmdnJHZdiS9BvRKZu0ET2l1li/cNcHD5xMMRW3WRWwCBFtTIfbNdb5XRWG/F0xnXRIhk6J3fJWEI6bBY7al2DNXYPuAA2Xn+UIx6J0gfJwG98pGWdwx2JxwONhjat+lsHsmz77ZPI/clqLH19gSldTFXqBIhkwCBbcfSXelXtcOQzf8B9B5Pq04vBM/u5HZZd2lPdSq0pqOHUrl8W5dzGFdTG9OuF5AxDFJhixuPTjPfCEgU/JxDFFVCK8g5hw/x68UmkgX1AS/rQRGn5W1JIq+z3SuVCUfbk2FkWL18wIuh9y4ml9YKmxiSokfKBaKHl6gWirzViDLij0nQp1XAgNRqy4VaDsoFlUsU2GLsCVxfbUmCdmwOBeU/ICFot/Wfix4AdKHwYhFoPTadDrrVskwqwkv0Ot2q0wUzroeM22I2Y1IhkzCpnZHjkQNhiNOeW4QBCooq0oJDCG4aEMCP1AU/ICQITCkJOe6jGeKFD2/Qf1JL8JPG9Tqpwq4ed980/jcC7oZDaO2QdiSTGV77/eV8ocjllYLzHTXhr0iahkYUlTJ1b3CFMeWHAzN9sHJLIa+mlX3ywpoMcdsJtce2F0lB7fqq7W/vfQ1T1mSJJx3A6KW0VElumXhbVDbDkU/IBT0Nk/GbD1WGOVxJlCKqG1gSU3WqaQ51qOHYDrvNvWbCpdlKucyGLGa/IHLgUKTWtv5EbsZN6QQTaS+Vtg2EKpTHARIDkQX/xjcQejyPyVqSF6Cbgfx78vzm83+8JcMPOFyUL37lWfzHs+8bHP1b4FWRhtN6fF4/UCYmbxHpuBx3sYEAsX5mxIEgUJK/a4tQxN/hmMhzvn6pxj73peqvoGeVXL37EGcf37Pz7FWkUqlmJubq/59uR0iLldud3ajwtntua2uDYQgYzm4S8wfQxGLwbBZp3KYCi9uW9753S9w04feCsAogn8ZHGG7aRFq0Qa1KzAFbPrlj8m+7Nl8/m2fAFqrwD98LEHUkjhWa1Vw0KIgBxq+2YShRVIMISi4PkczeqxuVHpU6L2PohcQKG3f+4Hi4q0pdmxIIIXAMQSpqMP/3naY1zz+NHyoI+MpoDEe3JACv8Uw1Opd1V2a7T0A1VWKO390I+f0fGUfpySGh2Cq92wdQgjWJcNsGZJ8+TdHANg8muBIRs9zEVOS6+B3PmMozL5v3cLYNY9BllrbzEoa7P/i98FyqKTfcjqQ8iwhGY46eIEiU/LrbCD9jSny7uK9sm7ALw6kq38nasiPJS8gZBlsGYnVESABBsP1VAy5616Kz/8DjCBgtFJ3YOqP/4rc059Vd+6R//4/tl59eVdBHeXtVl764kcihUAagqddsIHP/uIAuydz/ODOo1yxc4jsyEau/+C3iU4c4jl/+yqkr+sbGAb/+5aPkB3dRG0+CQ9IxGwsQxALmURtk8oIJVjM1CqlXsNVMs0KobM7+IFbtyYreEFbv0IQKIYiDqmQ3fI46L5kC4P1sTAh06Dg6Xe3ULPWUcBc3mMunwEgbhs4liRezixSqY1liJYBbHN5t61/QAptm956IM10WXwi5hhVkvG+uQIjUYtzRiMMhC32zxWQATz6nFF+ft8k8bCF5wc85V/fwPr9DzSVPzhxgOe84omULIc9//6VpuPTOReUtoFtQ+BYBoOPv6xOmb6uvipg66teTObiy5l+13ubyjOkXocvBmwKVIveZojFYHndDgIpBKcPhcoK9oKdg3ECpfB8nfnSNgx+Oz5fNw8lQibpmvcfsQzypdrgbf2PgXCIvBug0N9XJYPOXMHDDST/P3vnHSbLUZ39X1WnyZvDzVG6AkWQkASIKDBBBJM/EMk2JohkMDbBBhtjbIyNbcAkYzAZAwIRBEJEIYGESEooX92cN+9O7lDfH9UzOzns7o3M+zwK29NdXV1dXXXq1Hvekwn3s4qWpC9u0xczuWjLek5fleLntx/ga6sfzvMP3FT3HK3wvoe/gidfuIF9eZ9EzuPWvZqc/7izxshj8+A1BsI2SRcDfvn81/Dwr36s44CrM37dXV166KGHHnro4WigRxDuoYeTFLXk4IWcW2VULwVSsCT1wZUijB3t/Z+IKcm7QZ0jcKn3FQ2u9AKFIbQTr+gFdRzn0mJ5JcgbjXAyb6J1ij+AR+wavTbpoQRLCk4bTFRtoOlUvc17Sa0CQC1cXzvL8l5QpaDSCVw/aLhh0RjdE3PaEaeCo8dnbo6wSpmiz+8Pp5nIuDxyYz/nr0px+nCsJUHYNsSSoyA6SRl2NCAEbOp3tBNRQDFQ/GZ/fTq9tuUchbq1wkLBx5CCLYNRdkznVnQc9RRcv3OWS7cO4BhiWUFIBS/ANiRSwFzOww1UmLZ0ae+77wPvATpr75JbeOw1L+Twx768pPudzNCke59f7ZnV79ELiNgGG/ojHJkvoBDlzaNG5LNj1af7IiZnjMSIWWEGDiHKzunf7F9Ycl85pVEtUrkkOIYkU/TL85avoIm4y5JR2mApEQk6xVKrYQhNlhVC3y9QekOtGwRKb1YlHQPH1MENC3kPX4EZqi8tl8g+ENXBEvlQQX0gZun7FDymlkDQ9BXlcfpEyvIi5WIwlP6OO/uWA0XVBmeJHBwxJQl7UeHcMY1l+w9A+yTcIEAg2TwYZyJTaEkQd0xJwrKqjmnVUd1zpTDqHJWGFMSlUXV+J3OrALaNxNsGZ4EOVFuVdMiFvo3ShrBAEAlt5aYbroIlkYNBkyY3D0YZS9gcyRSZL3QWvKyUoj9qgVKYhiwHxSkFMdsoZ2fS5H6fVMRkNBFh+2S6TuVbdNDlOw3uEYKqQLfSVSUFNtAbyY0CAovu0fv2IqYsp4svwTEk6bDdmrW5JbUK7ob+RYrEwfmVCyyshQDW9EXK2UtKSEbMhuPb+j/vLEV86fen/PffcddbdWaI0ivIFv2yktpPHpjBNgRPO2OoZWFCiY4yh9XWy5RafU4ART8IFTbrr+uLmAzGrPI6shSQAGBJre6XLvodfStSynLbpQutg0trETUlVrw0XmnjwRACP1QPXVSWqy4z4wZcuDZZRayo7fOmFPyygmDUDG4H6+OYZa5IYFq64BN76AVEf3Nz19fumM7VkSK3DEWZWygyFLPYPZPXvuOiy+8PVD93zDaQQt//vZ94Dal8evHHJQatxc8++5Tykx2cmCFqLbbFBbZDc9rU0lBJbqlsu7Rhk/CLDduzFRFVAXuv+SVWg3M6Qans6/77Pdz1/cW16N/0DzUlBzcqQwHxIwd5yFc/zi3PfzWFBnsYfvh92kbzObgkbhKzJEVfIQX0xS0evmmAO/fPY6qAp50xxGze44GpHA9fn2Ii47J9Kle2ccb7tEpqwfO55veHeewZIyyEauwbByJIw+PCrUPM511Gk5Gy4ujGoRjZkFQMOijONATnjCeQhqDoBQih7SMp9Py2JuUgw2PnjsdJuwERU2IIOPfZT6qemDuAJQS/mJ3j+R1f0cOpjDNuuoF7TuucLl7ySkcMLTxRJVBU0Q0NQ2gmajOE5+799g0ArHrzKzC33wtFt0xnFIHPhmc9lkBI9n7087BpK6CzmJbGhLznYwiBYxrsm9OKsgm7fh5t9IW0EwLYMhpvfQLwkiueVA5mqC1u5MP/jPrwPzN/zQ2YiURZyTj/jGcT+fY3OlJP3nPlj4k6iyuqYqB47oXr2HkkzVd/vZ+btk+xaTjGmWv7YOtmvvhf3yvbY+v6I2SarJ0ijsEb/+i0qnJL9/UC8FANBZ8GohZxx6RQsUZspFhbQl+0s5nj7sk0eTfANkpqz61fzkLRZ6HoMxy3SBd8Eo6BY2h15Ml0fUYbLdZQvwaP2wY/3zVXFzw5GLXYN5fHNvTe70TGZTRucdpQlEdv7OObvz/MnbtnuSw2zWu++X7ktxavbVZz2y3w0iuezE+/eB0RU4Rqy9qOvv1wlrGkzVjcYlVIDm5WTqnvJ265meJH/pWF1/5V1e9SwN0T6apjjdT/fQV3Tyz6/DUBXJTJ0QVPf2sEAjsk5nuB4vThOIfShbIisikFJWtwIGphNgm2lwK2T+Ua/jYct8kUdV9NF332Tmf5/f557tg/z5aRBIN9Ef7nQc/g+Qdu6opcP/vgCzg94TAeUUQtyfkb+hlI2EQdk5GkSS7v8sPfH+LhW4e5+Ksf0+3QpmyA1f/49yTGxzs4s4ceeuihhx6OLnoE4R56OEnh1zjSJ9PLV2lSqrv9cinC9DhCO7v9QGFJiacUxRNkY1WnPdF1zYfRhpVwTLF0BU/RuLVKm8y2KfAr2iFqaYKyfzTd1D3Btz9MnBifWw8nAAZi1lFJd14qsVuiY8SS+J2ydE8CxcpOPrWoJTl7PMEdh9IUfcWDx+L8YtcsdxxcqEqlCnDOeAIvUGWylOsr7CUyzFxfMRy3lkxQWQpKT1PZ57qtvSkhbpvlTbljCa0k4RG3DVYlbfbO5pelMliLH2+f4fw1SYZi5pJTnBd9VUe0Wg7hs++HV3d9TWTnjiXfrxYxyzhpbJWD8wX8gsv2TJGDczkOzOTLainnbRlmvs17aNylu2emGpbT9LcN/RHOGImWyS4l8pMI779UMnnBDzg1kzJr2IYkt8wIEikkpw8l2D2XDYnCAVYTokJJybXbIJjaNUrtp9OsNIVWkO00jbtjCuK2yVzOXTHl34WCX+57mnhski365cDSVMTElFptpkx2CDdtXV/h+kFZKSZmyfLY4fqKmQrScsSUXaWrbwTPV6iQ7FXwVFmZEih/snkvOKqBmHqjTIXKxkXckDjXKP1ptyjVOx+m+yyh4HlELUncNsgWfaQQHamG+qq5I9EQkrF4hIGoza6ZbF2f74uYrEpElm2rdvMpDcVMhmIJgiBomA0jZkkGYjb9tsmqgSgHZwsotaiYrVAt/QVDcWtJxHTQRNoL16YYjjr8av8cD0zlOH04ynzB12l2w9tKqYPeVNW1ktlc4/tWPmPSMUjYRpimWdWRg1caStEBAfPY23x5N6jr32tSETYP6NkuUAFuEDCZKVZt9q/rj5bVrkuQKxgNUluSEALHqJ9LatcQAKTTLYkAjTB66y+5pkaNdnWqnmY400FwyFjS6dqkm6ohhigUEVOSjBgs5HXQTX/UJO8G7J/Ls2XQrCN2g04/3cl4NRgLCSZK2zadkoNNKcKUxUFdW3Sikp+wDeINiEaVqE013ghrUg7RJaQiDqREBkFX6ZRLLZN+/0eIPv6CjpXQFBAIWQ6kqIQAnDDQuDQuVWZTu3DLILftnmZNf4T7j2T40AdfUh+I0eV8odTJkquke/zXRz/B6654FQCrDOOo+H0q22776BY++MK/B7Rf51H53TzsO59DAl/Z9Ched90nadaLfcdh37euB0q+gqW9lcmd91WRgx9u25zvODhdZO0o3f2c667ilue/uo4AJtD9Uiml+2doOJlSYhia2ivCOO6xhI0ptS2klA6k//ZthzCl4OLN/RyezSMNyYaBCFHLYMugDmrLFjwCIBoxeej6PpTSgcBzWZdExGAm47IvX+DWew7jWAazW0Y4c10/UdugL2oynSmQMARX33A/Z5y1lryrx7Pb9sxyaKFIqi9a9UwJ22B/RaakqUyRc1clGQsDHpYSTiCA37krm32ph5MTSkEk1r234P6HPgbHC4iHdunZa1LkvYCYKRlPalskYkiipl6fCKHJ8KWxTkHdcfcf3o/93KeU71E5KkoVsOE1lxMYBvt/dHNV1tXhuEWfYzFXcMvrrU6H1Fq7pPKvizcPsH64GUFYn/myK57U1H6rPNb3lEex+/s6YMcQ4F/xVhJOjKGvfWHRF0v16KqAPZ/5JiQW349lCN1uCM5b30+24HH17YfZOZllrD+Ka/gYQq+JbEMyErMYiOjsNaYhsKX+rykFtiGqlJE7XZOZUjCfr7adWjW3NpFUOehBUO9LUUpx8565sj04lrDZOhTFCveCW6GkHpwu+KRZ9FkMxiyCQJXXArYBvhJYUmJI7QMyJByYLzbMrGIbOrg76ZjEDEE+7/Lg0RgoeGA6z6Vbh7ng22/BCN9ap8INEsUFr3suv/rw16rGdoAL1iRxPvLvHa0JSv1l8DtXNiAI11/d6Fht4yqlBRMCgjpV4KrzoE4xejBmkS36zORcLEMwEDWZy3scWHAxhF4rzOY9tg7FOJIu1Plg16YchiImdx2YZyHnsqovQp/KMnbjjzlvz68ZGtrAT1MX8dHL3sQV3/2Pjsj1Anjfp17N7y97Mbk/eTUpW3Lt7Qf57e5ZXv7IDYzEbe7LFdkymuCZr3lKV2uxvqc/rcMze+ihhx566OHookcQ7qGHkxS1C7CRpM1C3ltWunqFJtK22/wsEV0DVU8Wc/2AiCnqFqgrBR3tq531lTcwDL25K6Uob6QBTTfiRRhRvyz14zYNVfRUlQqVH5y6juoeeuhhaSgFWWi00WRp8HPBr3aOzOY8XD9H3DaIW2aY1qv7jSOhFEFZK0yEKaOWkJ5aQdSWVUo0maJXLmdx4w/8o5C12FeaNAva8bdcxftGame1iJgGq5MOdxxKM5f3sAzBlqFolcNIoR2kQ1GjyrlmGWLJRFLQioHHNrV7fV0bcBpaYm1ffdrcY41M0Wf7VI6UYzAQMzi0sHLpvaWAubxWqMh2kq75KKNbIslK23O3Hlxg//zRSZ++0nADBZZeLp+/Jc6ZBQ9l6JS07cjBjtGYaPfs93+Nb/z1c7uqx+WfuqHh8VUph3TR4+e75njcloG6FJZp1+fAEtt6ruAxFFtpXbITB8tR9a6EEIJVyQh7ZrMUvIBoE+9KwdPKI90ShGvReRCnYChqVxFnHVNoki2ACNN9otcr6aK3bJJtK/iqXom4E+VaIcAUgmyDDDAlrEQmm8PpAgNRCyMcHUuKuFV1QaepN6REhOvl5SohS6HtlAPzuYYbjKlQDdL+5Q2MfeAfkNkMIHDHVnHg/R+H4eEl37uEnBtUfQ+G0ISYiKXVVvOeVmmOWbJsUwZtbCFNcDTYNhwn4/oESq+79fuUK0Jo6sQeq0XeUzimJimXnsExDKKWZDBq4wVwcFZvuCpoqDBYi6GYVvBdajDGhoEYtjQAxVDM5I9OGwyzOrW/dypiMplpP8ZLIVjbFwN0v42aBjnv+Nsjy0XEkiQsvb0+k3VZ7kgghcQxJKuTBquTi8ejtgyzsXQLhWUIUNrmj9nGitvnq1/1gq7O7/TLO1ZxXCXSc94LyKeD8hqmFOyolYY1SddXAUoJoqaBFIKEbQLtiWqlua0/ohV2tao2+Epn6Ch4AYYUmCH7L1B63hlPOng+pF2vjiBc7CA9TsSSHRGY28EyBDuns23Pq+2hez99FRte/syu7nXoHe/FCZVIi5aD3QERsHTfz73zf1nVpFmG4zZeoDQhTCkKAk4bTyIFbBhJsGkswZ175vjgB1/a9TqlGdxjoM52POIdX/Hnr+TMM8/kcY+5BAnl4KaVQmndt+PJz2X/y19Pzg14evibRLF5aAu5yx6P7yselXfZ8ZY/QRqSVa95Ec7ePSgpKVz4CArv/QAC6AuvHUs4ZQVdAEXAwYXq/uUGioMLxarOnHN9rnzr86rOe0IkjlxC65euuPe3t5NOjPPwB4+VbThNWvK55UC1cuKmwQg7p6v9FI4hqgKK16QcnLjD+n6HfXNFZrNFUlGbwzmP3TN5HEPQFzX5yb1z3Lp7lqc+ZA1rRhLsmUhzz6EFAgWnjcY5MJtnS5/N6oEoG9f0s3l1ip2TWfzZGTLZAE8YuFGfghuw2hL4psQNDdJz16TYWSMaUzsmZNyA/QsFtg5GWCgsfcbccTScdj2cFFChUFGlYNHGn/6EXY97fPtrw3++f9lr2LZ/noNhHzxvyxB516fgqyof3OqUzcaBSMOyqnwemQwbQnJwK7Kt9H0GLr2Q9PduKv+WLfqkCz5umAkUCDMD1CvX1oow1JImfeDcdX0YUvDUc8axGgQAOYYgUJJV73lLV0TOdc98DHu/9bNym3/BMPniob2slZI3pgZYb5gMGAYpaXLzOz9I/kHnsnEwUhW8EbeNqrX4aatTPEEaeIHC9QI8X+Erymvu0YRVtxZRSgtaGF0EZ1Rdj6oTY2g2fQ3FLfbM5oHq8TcVMVnXF0WiA4yzrl+VSe9wusjhdJFHbezTdl3F8+tgK21TmlI0DITz1aLdaElBAMzmdfmmrecJQtmnXJO12mTGZU2fg21Ids/k2Ngf4fodMwxGLEYTFpFHPxSjKr9E5+ibmagjB4P2wQ98s/OMb6W+Ja77IeqxT1w83qBSjeLfG2XUBR3IHbP0+yt4AYUnPRqmphZPOOdceP9/V11T6YMqBYKbUnD3kUxd+VsGo8wXqpWEDSHocwx+cd8kpNP8x6dfi1lBDHjw9lt4Et9EAf+z7tG8Yu/1ZZJw7VNUBRcA53z3C6jvfoED374ex5RcvHmAwYRDzJbMZV3WDUYxVOfBeAB3P+zhXLD7gS6u6KGHHnrooYejgx5BuIceTlKYEhbXxIJExCIRsQBFOu8xsURyi2O2TmlpyNZE16glKbgBdrgYrhRXUdQrYVXClCIsnzIRrXIj3ZAwkSnUORIrce6qPp3Opg3sUMViOehkm8gPIGKJxVxtR3kvbj7nUmymChSufixT4npBFTNPigqlrBCpiInsIGXbscZjTxutzn3XACVnS2X0Z8OToOpF/v7gHLtmGqetOaFxPHYnelgRtB+HWo80tQSWoh9QzAXMhIpiWwZjRMzuzL2oJckWfe6qSC0VCRUcRuJOVw7BRs/3wFSmIaEmuQJpUWsRqEVnbl/EXPa43zB6vgHitsFpwzF2zeSYzLh1DuW1fQ7rh6J11y1XBVg77I9vKIpQSySTnwCYL2giVMQU5FcoE8Kv9+nUa4aAs8YTjCesZRHKTnaIk3TCmg6VpjslUZbSztZ+B+NbO0/DCSCkQSLRWJ0nYkoOhhsEfqBIu3qzA6VwTFlOi95QdbCHFYNjGGwciPHAVJaUY3U8TxxtlKphSuiPWszm6klOJzqUAu84z2klKBoTh02p11Ylc80PFL5SSKGVMX2/3pIzpSBAcceh1qnljZtvZMPb3lD+u7S2sQ7sZcOLLyOwHfZ+/cdgLTV5dz18Bb4fUKghwFWSXxulGm2EiGVAU23BZWKJn1nBUxS8xe9gAZ+4bbB3Ls+5q/rwfYWUkO+Q2CcETGa88v/XVkuUfmhQZQXsms6WU4K7HZAO60tojaRjhOpL2i8BsGEgyo7pTNVSWAjtH2kF0xAN5/Baz1C66KFU5fn1m+BGSBTXpE9VUVZ1O3kt2kQFioWiTg8dc4wqVbiG6LDPVJLttC+rfgu5k1FJsBj05waKWBM12TZuDUCTRGuncscUGLMzHdSkHgMV0SxKaR9gf8V3bbXLnR1iJW06xxQsFKrnqIIXMJV3OVzh/xPojDmjMYcNA1H2zuY6WnNkXb+B/V3fZ7YOxbClxDYM/C4UeI8Wds3k2ToUbZhaOeUY5FwfN2iw/hsfb+0Lq0DpvNwnPsF/ZNZzybZhch/8Ni+74kktry9dd2DTg2F8vEoZuIRG9V6TckiFp+6YySMBR7nIJRJmquqk9Bx8/m9+vcySOrzfMblLNS5+xCPJuYrfr1u/pGCZTjB088944MWv40DFvoIlBaeN6DdkmILBhMNA1GIm53Lk4zXEpJqgpw19sSrVXl/VZ8SJWgb3TNST4QOveu11tu1gLcPWfuG1n+WTz3krScesCtpoNAc3GuMsQ1YF6bthv084JkXDIBa1sA1BMmaF47tg+1SWDWMpxgbjZPIunh8w3h8jYkhWDcfJZQrc+KtdFIdiPGTbGA/ZMoQ0JD++awL38DS7rvsVj3niI3Bzuj63bZ/gwHSWFzx2KxedNoxSsDM9W13RsL0vO2MI1wsI0Oqgdx3OsH06zxl0b0oVlCJy3EfFHo41AlUKrKn/LbF1Kxu++AV2X/7ihteqiv/+3V9/kVt/s4c14ykQ2ia667AmAa5JVWdM6rSXrX/O4zs6XwAyCEh88oOk//yNjMZtjjQIslNKle36EqKN1PFrbpj2FE7c4cnbhnQgeQObdFUywlDUJnPzz9vUthqyoEmy+3Zt5y/++NHl4/uCgL+anao6d8tH/p73femaOj9UbeIkpVpninBbGFaVQVICPXZbhsCSAlNKTENiSk3clEL7o0pBouOJaHmfuCQsPxqPhJlf9YjrBQF3HUk3ujXzeY878wtIAT/bOdcw+HpNyqHWjI1asi6oMmEbLQO5atsgYsoyOf1Xe+ergpcTtsFA1MQKfXAl8vJgxOTwTJbpdJFrD8zzrJuvZJNamq1TWo2cfu1Xue9Jzy8fX9fnkHODJQVYrX3/u8he9lRKK1WBDuqqtG4MIXRAbHhUKa3q2xcxy9lpSsL7gdLPPfaES8h7xfr63H4bG558EcXRcQ5+7ltN62U3y7DR4AGH/urVJO69kw94RezWp/KKvddzZNOD2f/CP+Pcf34LMrShWgUXAKx5xqM580vXccZojO0H5rnu3t3kIkme94HXNX2Gpii65WCLQC36D6ToOmFGDz300EMPPSwLPYJwDz2cpJACHEMbk6VNBS/Q2y+JiEXEMtg7veiMNeWi8dkKrdRqIpbUahJNCjGlvj5oUU7UkuUFRNFTGGF6Gl/pa2ovi1oSNwg4ki5ycKG9wmAnDlLbWFT1PdrwAoUX6OdYKbWyVvADyBRb3ycK5BqeU70wjjvG0drSXRZko93XJujotIqTjBVMF9pDDycCAqUIQqJKMxT9gPumNIkxZhkkHbOOBFdKC6pVb52jks4yCDSRIecGy1ZZPFro9KlXJyOsTkb4yh0HmWhA9p3OujAUaVjiTM4LHa0yJNcs3rsT5bHZnEfMMsge5RTSGvX1F0JvINaqQzRDzg3YNBhl13TuhFDZz3sBSccgv8Lqer6C2w6mWXvGEEX/+Cn3dUoWqDx/Jd/Lyer0rEyN3AkU+jtoRAa/4ht38dFnd0YUfs2VdzT9bd9snr6IyWDM4q4jWXbPHl8l7j9kWNJg61DseFejCkrp1Knpgr/koJMe2sMLwGuwrioqn3sm0pok4pjk3YCEYxIEARMdzOXOL35K6j1vA6rH6yplm2KBDU+/hN3f+fmKkoTbo0Py4DJSiq9MDbor6+B8jrwXMF/wkAL6o2aYQaP53Sp9HjUJjqj6oQlK1kCzfdDWaN8KCh3gMp2bZ3UqwoH5xvNEoGgbvCSgI9vODxQ7Z1orno4mbASCdNGrU7+vRH8zWXZ0nY2Q2Gwasj1BeAldsV3wfCe3G45bYeatZvWrpwg7plFWsFMIXN+vU12PmAZKGrAEm7KWFFKrYN6OLF7CZKbAqmS05bqt0zVjwasPkgwUVeRgCPt01sUxJVHTYDzpUPSDtvOcVtxuP/Zun8qyvj9SDpJoZLO3czn2RUyybXxyuhxdkCG0UnW6gapn3DYo+Dodeyn9Ougec2C+wHBCE2EihlGnepi54XfEH/XQqmsaoTRSb57aw4c++BL+731fhVQfn/3otbz4dU/FDJr3sfse+hhufMU7GIpZpCImh9PthSq2Dkc5fTgGKH66Y5YAuPzt3alht8J5+/etWFknMmJ/9ESyP/jhUSnbjSTq1mzL8mYv0RzITU/XHVuutbO2OMNjHzRKtGbibTS/NXIP16qDF0M7oOAFPBAS4rcMRnlgup4cfyTjwqFDvPQf/wQZMvYUsHDWQ1Bv/lf8TI6N6wYxTUkqYnLeuj4m7QD30sdBLMKGtf28bDTJ5GSai22DM88Y48hEmlzRw3Q9lFJsGk/iI4iYkvX9ER6YynLn7llMKUhFTSIxh8GoxTff8V88+72v7bjdlFJclU0zYJ+IuwQ9rDSUCoMGg3afriJ2ySUYv7mDQ89+NsN77q/5FX767Cu4at3D6VcQs42Gc1FtdpJOA267JUUOfv1L5F75RuKOAfUCpQ1tloa2YINGeeTG/qYZw0wpGIrZbe2HuvqEt3Lf83b+4uufbXv+A3fdxl8+71I+8LUfVx2vDSJq175eGOzeCIGCs0ZTHQ3ppgElt2rJVKwdagUCKvarO8mi4gXNM8aeNlydvS9mGUw1sP+aZXoYSzgkHbNMYCbcgrxvcrHDXLguRd4LGIzpLHEJ2+Dnu+aYndM2a8LRNlnElEzmPJxEhH/9+P/Dyi9fkOghP/wqdz/6maTzHo8+fZiRvkjTd9UKAhBBwHTWRaJFozpp+xIkje2CdU++CEnr79I+cohVz76UWz57DUYoamBKgSG0cFjW9TljJFZ+xwJI5z2KBY/VCQshBJe+7AnICvu0tHPSztYd3XkXh2++ifnUMP1zEx0FFwA87u9fyZGPf5Ff33OEiUNZfv79b/Oq2SNtrm6MqiVrRTfWmZxOXp95Dz300EMPJxd6BOEeejiJIQRVUZFSaGWjQGnDfihhkS34Vcq9tqHTgraz+U0p6pRDWm2OCPRCupFqRKsyNIG2+TU5NyDreR2Rg0v1aAdD53PtqLyVQima80QgP/m+OmaE5ZMOJ+sq7EToWD2ccOiPmuyezbF1KNHSAaigrHA153vs3ncX1934J8z3VXes/lnJ4x75eabHNjMYsxkIlRJXiiycCTfOB2NW16nOSySOlUyRPpqwMYTANiVzOZ26uFuH7pNOG+YLtx6sO66Jho3bzQ+0+mfOq06pboYBNZ2ozxb9gJglm6ZkXymsxKsvbSQbx35qboqBqLWkVOGd4K7DGQaiFnHbWCIhaHmY+tPXM/zpD3d1TfqCh6/Y/f+Q4nBa2bdXfOMuPv3yS8jP1298AyRG1/LSj/+gZfluoJjLe8zlV14VtnaT7njhRLGdO4EpV14FfzkwZH061B5aoBMZzyWg6KtycE+mi8Cd8Qbk4FqUvo91z38ie6+6bsl1PFoougFh9usTG2EjVyqJBYpyKt5WGS4WCj5RSxK1OleYb4SlzY3dNWwzcjC07/pRSzKWsNk1szKBKEc6IBG2gxso+qIWfhDg10qjNUHMMljbF2E6WyxnWzlaECiG4zbpgtd1BhNTipbjd9SSzOU9gic/g8HvXFn3u6cUCyrARJBYwbXamaNJjLCs+6fTHMkUWZVqnAJ8KegmPvRgTYrlvoiJIQVKwWzOrfs63AaLjFj47epH0oT1vBuEaa01BmL12yaZol9WFCy1bEnwAGAu7zEUs+qCNWO2gRUq6S3kPWxDctkZQwj02s02JLcdTLN3roAANg1GyRQ99s7qZ32ggRpv1tW/9UdMJjP173nq+zez9mmPwvCKLYMEK4+98G3P5zMfvRaAL/zX9wB4wd+8mMjMRPmcX132Eu6+7MXla88eixO1JaaAuxuowFYiaRuYUuAFiqecPoBSYPkrY8sejSDmExWbP/UprSLMypsv+17+WkbiFttCgs7+2fzifB4aHwpFwQtCFcESiUcnHhdKVTkKAlVTywbfuhRaCbESd9x+e915U0HA2mU82+GzL2IhgOGa/Y6Cp4OWKxGxDDaHxwyp91IcQzIQMZnNFPEDhQh8Ng1EyOdciuk8XqA4qHxyGRfXDzh9PIknJKZQvOyKJzUM+kr9/hae/qdPYGrLg8h97HOcMRzHDXwu3jLI/RGJb9lEoxbnbBxi54FZin7AaesHKfpwx31HODyVYd3GEYQQHJjMkJcGm4dibB6Mksm59MdtNo/EuHX3LANC8PCtw+xNnYcKX2on340C/js9xz/++z8so/V7OJFRIgUHQWcBAQfmcvz+4Dym1P7N4sc/z51zBQwpOGMkxsRCAUMIspMZ3rGuD6FAPfE08q7P/TP5MAhPj9trUw5bhhaJnTFLljMv6HFFldcTAk14Tb78+Q3r1QyV8/XO6Rx9EZOhuM2OqWzdOZUwG30fDQ6lHKNp0FuJHJzdsb2rOpfwhm98ruNz99x/N9PT05y+bgxf6XarzSjV7pMv+gGRFs5KTwUdZRZUgc5K0cgGU0otCl6FL1eh2N9ivVLCQNTkqduGyuunQCl2TOWrCOhSaGX3ZllwG+2Jxi3JYMRE1vh1/JovQqCViqezLgJtF1b65NIFneGklJ3jpVc8eUWyJACoosute+YQwGXnrdLZi5ZaFtpudkJ7uBuC8EDcqiNer37JM9qSg0u/2dk0fOa/+f1ljdXHtw7Fylko1iRtrv7d/vJvH/rgS5akmFzynZz14yu7ulYB/n33ce/BNP3JCLv2CR7ziLMRV36ryxosYvdkhv3zOS7eNFTer/MVSEWdAnYPPfTQQw89HA30CMI99HAKQadkWXSsRy3teF2oWKQUfVVWJix4QZ0TPlBgGdqB3o2Co2PKZaduXwl4tY7HGlghQbpTklVrdEdbsM1jp1zcCkVfe316JOEeejh1kbAN5nIeCpjIFIjbBq6vyLoeUdMg4Zhlh6xT4di7/uuXsWt4Bvqo8xrO9gdcdeflbL1+jEc8+yr6HRPRgVOwW7SiMvuBYK6k7BYxSTr6uWZD1d3hmMVkBUHDkotK+81IdFFLEjGN8kZvaZTudyxk+HyJUJmv2zSefY7Jc88a48rfH646rp2tzeerRo45L1AMxay2KsKpiEmm4AGCgZhJEGjVsuXPefVYSb/V8Z8dF3FooUB/xKxTVFsJ7JzJs3Mmz6qkzRkjx15xNPP8FzP86Q93tJlceifT//ifK1iDPwxvp6Q90eVPP6PTS97782u47RufRlgmD3nOn7P1wscf/Qr2cMohakmCcJNfAHP546dU3sPyMPDh9wOdjZYCkLkczM1BX99RrdciOpuxfaWJ6idK8E9TtKlf3g3K6VZLroa5nFf2leTcgIIXMBS3SBe8Ja335VFSW+50xlUNTixlo7ANweaBREjw6iCjU1c1XB6mMkViliTTiU9DwJpUBFsajCWi2IZBwfMxKzgAEsq2fyt08owKwVSD9NUNqlV9nVIUvYBUSEwv3asycC0IlPbzvfavGPzOlWWb7l63yBcyC/w4n0WgCT4pKXlhLMkfx+L0SYNgGQTKAFXuLJ0uiTpdOy0lQLQSles8Uwomsi4jMQvblCilyBR9IpYsCydYUpP/Susqx5QkHQNTCPJeQNSSOi12g69IUU8sGYlb+JaBQvtki36AJQWOJckUfAZiFgt5j2w4bgzFLApeUKU26Po+Z4zGMQ2JFI0Jwc3QKrBr39U3sOHJFwGdpWFXwP970x/zf//xzfLxBz77LaKmDPuaYBjF0yImfqCfNVAKFQQMxy02uJGyWqGoKLnU9azw+QAyRVVxxsrgD2OlESIeh0wDGcwadEoiLr2Ngcc8ir6IyVzeQwLr+iMopbhu52zV+VuHonWkXtDK19ofobE62T4QJlCKvXPVxH/ntIvqzvtJLstW0yIul+aH+vwFzyNyYJa1ydGq4wUvYGeo+vv4LYPM5FzyXsCO8NiWoSgPTOVY2+eQLvj8+DYdBG5Iwblbh0kZgjv2zwPwyNggTz5zFEMKDi64FAPFo/7fo4H691D6WwFDD9yN+doXkfrW1bi+wX2TWcYG49x87wTJZASTgHUjCc7dNMCOGR1IcNGZ43iuzz1HNMkxU/CYyeZQhSI5L0nMlKwfTZB2A/7sUZuYzBS5bzJLxJTc/rf/zlnveRNGG5KwUop/mptmW9TmjW9655LavYcTF0GoFFxpr7ezSv0g4IHJNEEQkA+nwwDt6wLYNBgh5pjEbIPJfQv8cs8CF69PUvQVtmVwYL7aPto0EKn6NgwpyoF6tSgJC/Tv39v1s9ZCKRiKW+WHlWJR5VgKbXvNFzwStg4mEuFcli16PHpTv557FTimaEmuzLk+84Uiu3KSzXQ3T3m+z2SXfug3PO1CrvzVjqb7tO3uX/AUkRaskTZbr2U0U6UNVIAbKLZPZar2JofjVkd7y5Yh6vz7W4ajVfPOQLS171wFirGkrQnEYfPO5j0OZ4uMxyPlMTEgYCJdIOkYVbb4XEWgoRPaR5WYy3sYAp79z69ZMXIwwNSG03jkaUOM90WwjOp5sJuAIQVkzz0f0PyBruuRccuZP5TSGYKticPtL6zAhd/9fDnYrBJDMYud04vE/cq1xFLJwSU0CtLp5BoFTN51N67Zz8J8msLevUvOurtvJsvrvnwrF2wZJBG1OWMkjh0uSH21qIbcQw899NBDD0cTPYJwDz2cYjAElJZDlmlgmQYRy2B3hXO55NBuRpLtNit51JbkOkih1wkqCc4QGutdLIS9QDWO7g1RiloVlIjQS6tnt9CLl5NJB+0PE39Qmwk9nNKoTJc1k3OrVLIWCj4BqqxMZRuCobjFdz8fkoOhsaRAqDCyfegw5jcvZ+TFX2M0tvKui6gpGYnrFKqOKUnaFijFd+6dZO9cnm0jMVYlrDrypgIms25ZsamU7lE7eU3SBQ87TA9nScHqvggRw8DsYnOpW1UiIQRDUYvLz1vFbL7IXN7j57vmSEVMljLiuL6qc0zWYj6vydJZd1GBOGYZDVPkLhfpgs8tB9OcPR7HrNj1G4hZHFpYvjrc8ULRV6QigogpyJ8AgT0rjd3v/RAb/uYNLR3Ipac+8po3r/DdT732bIRuuF7bLnkK2y55ylGtT7c4URQ/T5BqnHAwpU6tKdABiEpVkpXCtU7PqD2+WEb7p773ja6vGX/7azn00S8s/aZdofOHM0O1TKUU/gkal9punHEDxWQV0VNx5+FsVVpaEeafXZNyWJ2yu379R2Oss2Rjxa5OKxAorYCbKa58sFSnsA0Z2szVWCRUKWwpcSyjTh2t8jzQfqKJdAFTCsaTEWZyLjnPrwos3DgQJW51kMD+KE5OAYp7J6sJf1LozfJKeGEWAa9vAGNmik9mFvhcZgEXVaVzNh0E/E96ns9l5vnwwAhn2A6XbKwOJpjJ+WW1W4Em5tTeD2A6W0QKQYAm0CQjJofTBXylEI0EQsN/9Udbbz0IdH/VSqThhapBM1fcQ1X+reDQQpG5kBgymXGZriEWGUIT/FanHGwp6IuaVSrNBS+oIrGU1lqDDdqhFlLAVNZtGBjmhuXUkp+nsi52A4mwg/OFMkmxU2wbibFtJMFsrvHaa/SNfwJ0Ny1FCtV1MISoWusNxmwipkQKwf75PH0Rk3TB54Zds0C9X7cS54zH61QWS6cu13SJXPLIPyjbcdVvb2X/GacB7dd0nRKHsqPjiOt+CE+uXpuUAtAq27dZW7e9T4MTGtGnotFo3bHv5NK8Mtl9QJRCExgX8h4L+XpFzRIpLWZJ7jycBhRnj8UZiPZx+8E0e2byJBxDj4FKMZZykGE69D5TYEp46IZ+AIaSDoYhyRU89k+m+eMrntLsscso/ebffz/G/Az942OsStrkiz7Pevgm7pnKctu+eVYNxrGLikdvHOD+6RyO1Ir1vpTEHIu5gk9+7ywR02B10mEiU+SMwShnr+pjKG7z4/uPMJ60yXkBd286h4FXv4XRj/0rJS34Sn+XUlqZ8j2z0xzG4ze5Qm21ezhJUVIL9oPG33HF9NrgWsWOyTQA/TF70UZuVhAwV/CYzfvErHoiJVDSHi//3So7adlPsczFbqBUFQmxFgOh7VL0VZUvNWJK3EDbFaWsCjHLqFoX1GK+4JFxfa5fMNncZT3/L5fu8gooZLPlujXG4t7o6pTDOeNxbt47j2lIbEOUxTOaodNsUyVip6oIQgiUYvt0prxGqQy46lSnqllWiGxR3yMVMRuSgwU6WHAwZhMEMJ0vcLgmmG866+IHivV9MeYLRY5kiuU6piImtiEpej45L8AP65Eu+qxNOdimDoByfR2YNpv3SO3d0dlDdYgf/+W/AbB1LFE1j7kjYx0TdEtXTf3LR/R/s245MLEVEraBY8pyRoH5vMetB9OYUvCwX14NdEe6FcBTtg1iCMGhhSK/2b8AaMJ95Ssu9caxQ9uXRQ5eLnKf/yw/GthGcfWD+PpvPwtd1kWF/3zttgOYhmAsFeFH9x2hL7Ka9f1RnZn5D8mI7aGHHnro4biiRxDuoYdTDEKAY1Qv9GWTUH2xUko1XRZhGQI/UHVGr2kI7jkyz7r+KDHLpBgEzGZd3A5SRhoCTKnVQTqxziNW4yjWowUFFPzmpOweTgycrFyKXo/qoRaV/joj3HCVQjCTdcuKPiUUfcVUxuW+oSP6QCtHYugJumdgJy+L1qvFrAQGYw5+QJWSwI7ZHHvn8jx0TZKULVsSdSsdgUlHq8DO5T22DMaJmIZWWOTYpSC1DEmfFBycz2FKvbm6tFTS2rHciChRi9oxIev6pByD+RbE4qUgQDGb97hpzzyP2NBXToW1bSR6UhOEQZMLhuMWSnkUjsK87R1PW+D8i9j9b59gw1teVbchX1mrQ69/G4XLnrWit5Y91uIxQdTUpCqdXWQxfacUYElZHuZr30Zpa64/ahKp2BhqtmLwKhl/jTpRzZ/d9nq9OdjrM7XwgkX1pGZqpT3b8CSG6l5lyDqw76hUZbko9U9Lgt1ks1mhFSgrD5T6rxQ0JBbbhmQ4Xk3cU6raBnQMSTJiUDmGVCaZFeH/5rr0CUzlfI5kGitSHUkXGUlY2Es19LpC63skIgYz2c7IvY2m5rwXkPeKRCxJEATHJeqg6AfMt8nmMBCVVYGQzZB0jHJw4eQylGqhuh8tF6qhRm01gpq+DdAXrgf2f+X7/OeFm/htsUihSb0KKAoKrpiZ4DODo4xf8TymPn5l+ff5vMfeuUV16JglWZuy29Z9OG5xKN3a3jelaJuZzJKQcKym2V5KaOW9/HVIKmgGX8F9kznum8zxuM39zCyjDyQdA0tKfKWQoR8yW/TJrID6wOnDMS5e148h4GC6yJ65PLcdWGj63FLAEzYPESjVlCAcufeurupQaue1N/+UiUc8nk0DUfqjZjn4FiDv+sRtg+msi1JaKc+UgnX92j9gS8F40mEm73HX4WrCe9FXdWp1uViSWLb1O+wEW7/85WWXcXJB8NmPXsuLX/dUzKB5//OEwKxI516Lyv4VO3KI9e/7W3jf39IHzD/2Scy+7R+AcE6uOLkRRyxhGw2++fb2fKNfn7ptiC+PjDFTQXpaAP5zfoa/TA0Q6TDQu1Sbv/mzf1081qDyUVOEQdb6W9o8GBAxJQ9bm2QgarE2FeWqW/dx585pjoS+DikgW9TB6RdvG0UJgSvg67/eh2kIYrbRNuV6bV33PeKRjNx+J7fum2duIc+v7z7M0FACYUqOTGV5yT9cTj6XZQOa9OynBnj8T27glr2zbBmK8qyzx1g7EAX02JQuugzFLZRS5Io+AoiZkvPXJFHPej5Tz3kBh596IaN5l6SQGALmgoAvZxa4z3NJbBnlN3cvX621h+MLpUK1YNUZEbPST1QONFCKuw/N4wYBg1ELECRsg0DBQsHjIasTQJjR1NZ+iAvWJJkvaLLkmlScnOezaTCKFyj88J+IpRX8S6amIQURVV0HGQYp+CpAIMhf8hhiP/1h1+0wGLPKwVCthBea+YuXag6XhpxuvRu/LXZOzLeBxzlRRgyD1NMfy953f5j155+NFAKF3ofVoseKx27uA6V95qtTEQwpysE7Cbs14bl2T6EZ8p7PbN7lULrA5oEYrh8wnXM7D2BsUW4dwiLjtlHlo0rYBqMJh4RtLn4DgSYqLxTq7c6IKTGl4I7D8+XySnsTjdYkSsEvds01tNPW36T750qsoHSQiyBqCpwKtdkgUPhKcc+nruLsZzyi4/7lJRJVf9umATXfw0BU7yN5gUIImM15Vf1iMuvSFzE5YzjG6Fc/u6Rn4uAhrHWridsGGwci7JrJcyTtsnUoiusHbBmKIoC/eOJWNj3tJV3fYyWhRkY5cmiez973L0smKt/6tveTiFi8/amnc+OeBV5x0QZSkUWfRs/z2UMPPfTQw7FCjyDcQw+nIIQAs2YzTQK1W18rsW+lCa/dbapJoetSSf5yTK08UfAV26eqI3jbqXbEbQPXD5AS7p/McM54X9tNCFooWnSO7gpQSjvDW6lpHCtIUUPqaIQ/QGbBsSIMrjROzlr3cLRQIoKV/0ZvzqYci6IXMF/w6hRarv/6ZTBMZ97OkCT8f59+Oi/6s6u7rl/lZkwtuQPAUwG2sTg/7J3L8YP7pwCIW0ZXDtlKleH5wmLASSk+RpcliJqyo5TCS0XJqS6AR9WodnWLtvNbDQyhFX0lAtts9YwCpVQVAWEoZjGXc2kuoivKdbpx9xzr+yMkHIPBiHlKaOZPZlw2DUa7VvLqBMe9bc46j93fvxnnu1cx9uH3lQ8rYPqFf0L6Za8+Krc9SafZkw5bhmI8dtPgssrIt0nZLgXljZOjhQeNJFdkvXIqou2+2nEfZP6wcey77Yn9wt2ApkG/phTccajxWCIFpBzttqx8QkuKOpKnYwgGombZ3jKkrFL+jfzuZgY++SFNplYBQSLF/LNeiHhhd5uNQxGzadDVbN7j94cyPHRV/LhOeANRqysCZKvek3cDPBRmh736WD/1SpJ1O75nB7fsRkGrEjtnmqvZlRCzZNmfdM3/fYZfFgt0Qk3NKcWHF+b4wK69THVRp6bopB06KMwNwOhgGVZLTixXo8sucNvBNBesSSKEJlqX1oOg6kgrphT0R00MKZjOuCh0hpvJmiCB4bi1IgThmZzLQsFj62Cc1UmbgufxrDNHKPhBWSlOCkEhVIPQRBdF3g/IFAMWCh4H5ou4QRD6BGADS/suH3PVxzjwQh0omHJMJr3F8TTrBkSLPoYUoaKeIFP0WJ10WJNyMIRACcV4wsIxBEfSi+31wFSWB6bzVfda98mrufTyxyyhlscXx3u9GzElj9rYz56rfwEC1r/4Moypxa974bkv4uDL38B83mPT61/C8MGdLevbqJ/0XXctyRt+wsJPfslTtw1Vz8WGVrur9HVETEnO9bGMRRL4RKaAG/bfkbiDQGdFgkq18UXf0GjcYvNglJhl8Nkf/opnnLehqk7fzGcxheD1yX4AYk2IwlpARD/Vzne9nz+/+JJySMZIwmY655YDxwVw30SWyQr18fsPp7nxvkmUUjzhnFXcYWc4fVWKR502wr2TWXbN5pjKeuzeP8tAzGJ2Nstv9swxEFucg//lc91l4xGACnxe+e7/Y35qmk0XPIyEYxIxJZe/7Tl1RHABmPMzFC44i21OhMnv3sDhdJ6FQsDPdkyxkPc4lHF5wbnjXLh+oGGf9QLF2mt/zSWbBjH8Ap/65H+wb/ce/u6Vr+PBDz63q/r3cOKhRIhcKiez9G0rIFvwGIo5BIEqq26XYElRDthaqPDDJh2j/L2Xft8YBpMMxiyms26d3yFhG2zojzesz10T83ref+s/suGnP+yYEKnCf0qK/gm7tWJqzDIIIjorg+8rvEDPw418E500rSEhbkl+9/xXccFXP9HBFRo7vfbBfquk5J19g5xvRxbbIpvmIX/1Jyhg9inPZOGN76i6RiJQQhOl/aB6h6CdUFOnBGGBIG4bKAUPTGer9oEboZ0pKIQOEjUlxKMGhpTMF1yKniqTVZVSrO9P6G0LFm3E2i3QjOtVEcQNqdeRkxm3qm9nir7OuhizGqgSK27a2zyI65wff73NE3WGUvmff/+VKE9hGYofbZ+pOy/+kEex+ZYb2gYDBUJw6Bs/qdqcLjYImFVUByjGwwCgghcggF3TOV554Tpm8i7K9ZZkD9nTh5kdGmHXbIHdM3mMMLBw+1SOSzb2EQRKC72YdBVsczSQfsaLeLwrWfuP31xyGXtci8eNJVlwAx5/2lAVORh0tuMeeuihhx56OBboEYR76OEUxqIDXTCYsJhM1yxkmljVhizzv9qnAhVQm7VchgtMKRYjlK1QVjDvBRQ8hSH14sMyBIYQ5L2AlKNTFHYCy9COaKUq0vWF3o7pXJGU0yYV4HHMnWybgrx7fDdxHbP1ovwPFScrcel4bIz2cGLCMQVx26wiRLiB4ki6yJFKhaeaMXD3YL1zqR3uiO2k6PuhGmXnH0+len1pczViCgSCnBcwmXE5YySBISQFz+cH26fKpNjmujftMZFprnB1+nD8qJHQAhUw2UTRaUno8nNPOGbdJnYzCKE35vxAp4CLmJKx4QR3TbRPa+cFih0hkfaRG/u4eEMfN+2e666yJyB2TucYjFpMd6BO1w26JXofLRQuexZ7VlgluIfjH7jjdZB942TA8W7HHnpYKtprgrZG19bOwCDDMQslQmVcUV+OUpAuek1Vp09EBKo62KsErVpWjYKvKOTqz5UTh1nz2pci52eBxfYQ05MMfOrD8L8fIfjrfyD72Cd2VikBD12dJOcF3HpgoS7LQLrgYZqSPsck5wVINGEKoef+vLe4Ca8DhzWBqVZRs3w7oYO97BoGpSF0IFftuUppUuNQ3CrbjO3MdFOKqrJq+5/rB/giqLtf5fklpCKm3uwsK7+pKgJY6Vw/CMrqzeUUxK2r2RgqJHmiM2cJdOaMWl+HYxp1WQxq7ycALcrVmvYXsySGFPVr8IpnNARlQkz5Z1X/LmbzLghR/m7d0AHXagwQQpTJN59+3ztwEPgdtJ4Cbi7mmfQ8rO98Effpl1dXPIQhdCaBbNEvZ78q9a2q8joYpGSnFMpOycYNzst6Aev6HGxDavtaaaKIY0oipq5BgO5nUgi2jcQwhAIpG6agrsRgzGI2HFcStkHEMphquKZcOYvFCxQzeZdAKQwhyLp+0+xnmwdjmIbEdX1+tW/lgrYEYC4sltfo9eS9gEzRJ2JJIqaJbRis77eYz7vlfhO3DdalHPorMuBkij575wpaLV9KJLB5wMaPxDDy2WW1pJdOY9ao4p3KOJzOoeN/dasVvvnDunX/3qkc++YK3PnOjwPwuC/8G+tvXFTdbKWCV56rfJf4Ux/D4at+UrWG7YuYdYqKVtyuC6DxLT0ug1abjttGWamyhKhllOt+8boUjilZlXA4lC7yji/dwD+96FFV51+Zy/DzfJZnx5I8KqIVM20ElhCaRCQ0Q95LpNh/5Q/riGdSCGwjzCwYDm6mIarqZVqLY23eV+ydzHJ4JsvP7j7CBdtGePzGftYPxvm867J7KkvOCzhzVZJ7Dy/6TiIzk01atzUGkjZe1sZXMDoU54V/+cfIujD/6ndnFPKMP+li0j/9DXYU/ui0IX67Z5azVqc4YzQRPvciUbQktmKbksdtHcYxJWDxxje9c0l17uHEgVLVmUWXV5ZivuCydyZH0jEZSTp6T6kYlO03z1ccnG9OZO02mKJZJtTasrpZL3VyniHgrLE+HphO0+/Y9DmL2RQCpbh7YgGvuDgfr+2LkLSthlmyTAm3VQRAZooBGTdg46tfBT+6EqZbhWotojg8AkcONf39bNPmk0Oji+NeAwxc8y2i99xB8TNXki165edxA8gVPfa6Wlk8aknyboDrq3IWQiEq5onwX7VrkmZQwKGFxX3eVluxCcdASsFgzMLzlSai+pqIOhA1mc66YfakgAKQJSiTSUuYy3tsHYpVEYMbwQ8C9s5Wi0CUyMGN4Jg6W0nSMcKMgLpdfrs/XWef2YYg5ZjEbIOIXLk192fe9VkI7ZvRhMN8oTqg8LTrvs3mW24A2vf1YNNWrJAYDrrfV6oyS6HXrkVfYUq9T2MIwU8emGFV0uaMkThCQMw2uX7XDJOZIg867yJGr/9B18+Ve9A5uG7A7pk8AhhL2ByY133mV3vn+X/njNMXMar3s1YAAZ0TjhVavdlzImz8xXeXrB4M8IyPvINz/uLeuuM6M/LJuy/dQw899NDDyYceQbiHHk5ReFXRwapOQcYxBblivZPZNOD3h+bxlV4QnDWWakoStg1RVtiQQqdRL6F2gVS5YDPChUamGOD7CpfFMjpFKmIy1WThtncuxznjVtN6R9pErB5tHEduchn+CUJMOtFw8q7DTt6a97A81L75uG0uBk10AaW9iV3cWBAYMJMvkin4DMdtkrZV55AsOYwDpQjQm7J9UQsJpIs+UUu7ZIaiFnHb5M4j8xQ8hVKKrOdx09658niddHTauZMNnlJMrLAzqxuYRudtphRVTtEzRhJltZ+G5zdx8+fcQBNeThEkHGPFCcJ/qDj5vuCloRmJ5VhhmVkbe+ihh+OI7EMuJHbLr7q6Zt+7/wPVgf2XcAwKjdKyHk8cxYlBzk6z9k+fi3CLTUk1KggYed/fMgEdk4SF0CTRM8cS/O7AQtVvvoLtU3k29jvEbIO7J7KcPhwlbhvk3YBr7psun7t1KMr2qfZZCtb3R9gyGGl7Xl/EZK4BobodhuONVLEW0Y5EWYk1qSidxKgIAfvbqND3R5u7rC1DMBC16HNMDi4UcEzJeCIKwHyhyN65aoXSvOeTbpFKGgiJbu3fR8SUdcp5JSQcg2zRxzZkXerqklJeJX5w/0zTslphTcphf7iBXujC4DCE4JfFPI+69mpmywTh6q9DSMlsziNmSWK2gR8oLCnrbeGOeL8d1q2DcaDZKUMxi1/tXexLlufxywemq845b12KVf1RzlnfR8IxSdomhSAg77Zeo1VmvkkX/bqU21KEGc+Wuu5Jp2HXdjjrvKrDnQonlNCq+bohQVTBqkx53Pj5EmH/mEgXidkGlqFCYrb+3Q0UWTdgOG6XA5jnC5p4vmkgys4Z/b0NxW3mr7mevidchAwVKLqtbz4IuO4zn+EJr3tdl1eevDhQM841QqQmg9Dtr3w7vOsf2TSzD/XC53R0HwGYmfqA4U57fa0Lp9HnUnlO3tXE8wPpAo4hmI0MccU37uKLr7+Muf07y+cdUoqPZub5lGHwog/9iGhUzwEPWZ2oIqUDnDmeZDbnsj9sM4Uq71uU5k6npq2ijsljzxxDAn2OSV/EZHo+T6DAFoKv/Gw7uw7M848vv5Cb9y+w5/AC2YKHF6iyUmazb6cdfCSp/iRDKYdnfeANDcnBdW0I4PtE3/QqZj/035y9up/NI8mqc6QQ+EpxxmicM8eTeIH20Rm9lC0nPVQYmLUcteDFshSzuSI7pzIcmC+QdAwWCj7DcYs7D81z9qoUScfSpFLbJBGRpIsuqYrAKB0spftVo2C/Zkg6BqMxu+nvooIivBSi3qqXP4eDn/l6wwstQ3Ikk8exJIFSVf7tRvbMvrk840nFUNRpWNNKlNyq6/oiyB/9nMyzngq7d4ZlN7gyEoGf/Yorszke+6DVDZ+lX0j+uw05uNRakZ078L/8WQp//CIcU2JJiRv46K3hksyuImEbxO3WAk5J28TugCOsUFV209q+CBPZInM1AZ0DUZOZnNfUTs8U/bo+XbqmEkMxC1u2lmANlGLHTFaLTqEwpUQI7cNuZKcDLBT8hqIRmwcjbBuJ6qwJCop+wC0HF7RPPeuSPOcSHrZvV8v6dIzx8fL/TmXrbddHfvUjQOvvodQXzB33c83tB3DiUdb1OQwnbOKWxJI6YNU0BF///UTDMh6YzvPAdJ5NgxEOp4scDvc6HjqnCe+dkvZLr3M253PrwYXysbm8S8ySZN0APwj4+u/286CxBDsnMzy9i/Jb3VcBvzznUh5x+487rueu8S286m3PWta9BSDy9etM21iZLM899NBDDz300A16BOEeejjFUIoSLu0xBEpxaDZfR5aVDZgLQsBtBxcd64GCvXNZ1qRiTRx4Oh15yfHVTNWiFr7SCy9DaoWUrOcTNYyu0rt7vsKSOh1hI2yfyiCF3qBJF3wGojYxSxKxjLYpk48GbFMgEQihyB1n9WDQKkHFHnvkFELvXfag0Ui5oBICSEVN/EARr0ypthQvSwWZdO9cnjUp6HMsQOEpRabokfcCFFpNrXLMsQ1BwtGBHgrod0wKnuL0oSR3T6S5+t5J9s0tOiTHEjYPGo2dVOTC0qsQoZLbSinGZl3tmO9UFTjvBlhStCT6NsJQzMIQggPp5huPtemwSvjd/oWGx09W9IJqeugWvSQNPfTwh43l2CsT//DvbHj6JR2ZZgpAGsS3bqkjrjVCxJSYUiwuHcIbFLyg4wDalbDFDLm4Sem2TVm0dIy94w0NycGVKNVj5P3vYvcljwOzuZvUDBVqSzZef9RgLGGTipisStrk3YBf7ZtnNG4xGLMYjtmsSjoU/YC9s3kiZu2m9Ylh2R7rmC5Dwu2Hlqd26vqaqpGM6ABFWxotV8THqqVNKbAMuWTiXKdY6vP4SpFWAYntO5gNj9UG9fkhwzvrBmTDcSFuLaahLqEb4ngtLEMr0NWqiLaCUprMDgLXD8pk+NpN9Ub9eTbrctm5qxlPOkgBIwmbTMEv+wZL462qKcg0ZKgELSrU8xYh0G0aBJpkWFdnNNGqRNwC4Bc/Y+idf9nwHbrDw8x85ZrycyjCQFul/1un4lxBkmqGr7/t4zzvfa9ucUY9FBAkUxV/N75DoCBiaXXuTNFv+j4nM8VQgVlyKO0yEreZrCC4TGddhBDMf/dGeO+7WH/DtW2fq64uwN/99V/ykne/k4MTM11ceXIiUAGup306pXaypCQV9sNSf+4v+qxOafKaUos+IPWi53Z9z9HLLyN75ffLndnqUEWy9j02ItqZUnDBGk1mLQZwJO1CqFx+fnj8/G9cz0zWZVXS4eL1A6SLHt+55wirkovkvJLaZK2C+1zO5bw1/TxkrSDvevx272IfKY0ha/siuj2F/t6lgIMLup964QeZjJicuzZFeiaD6ys2r+nn7sNpxpM2SiWQQnDG+gGEUhyZyVGwI0SK7YnctYiMrWXb1hEcPyB2YHdX14rf/oqtwwlss/79CCE4bSTGmeNJhBDlbI89nLxQ4R5goJa7M6Dw/ICpTJFf752t+iVmGVViAvdPZDhtKA4CMkWP0VSEAOrUwxevl2V7ImFrAqIpBYFSDEYtrVIrBAXPZ10qhmVKDsznFudQSnOiYutQFCEkKOj+ywLzyAEGYxamFHWE1LhtcDBUvHV9xVjCWSScNmncrOszFG1/3yDcPzXCZVj8qu8BkPnTF6Nu/W15zPZHxtj/+W/ri2ZKZMLG0ed/kezHoDk5uITS1bGPf5DY817CvZNZtg3HGp5bCoZqteea9wKaJBWpQtSUrO2LsC8MzDicLhIxRVWgnWOKloFyQ7HGQYwBMBS3mM25eIEWoxqNR8pt4Zha6bdkP5nhQD+TK2oBiHKZi32glU3aiMCZtI068vvmwRiTGb3GufNpL+Fh3/vCskmtlVidtDkQzktSQNIx2fpz3Zc6uUepLzzv7/+Er73vy2yfzpP1ArYNx7SqdMErt1UrZEPRsef91fOIZ5a2ppvZvK0u+0WmGLBlKMrkfJ7f757jyEKB6++bZNtYgnQkQSLfPrthK5Se7BG3/5isHSNWzFYdr0Tpi/OAzYe2Nz1vOTBEjxzcQw899NDD8UGPINxDD6cQdLTiYirHXNHn0FzjiM87Dy+Q83zilkHCMUnYBg9MZ+vOm8l5DMU8krZe+XmBwjI00angBWVycLdw/YDDmQIzFdGX6/ujLdVYKjGX91qm/C6lL3NMGS5u9aK6L2KyJhnRzoRjCCkERS/gROEYFTrYiD1BqtpDDz10gXwDVThTCuK2gWUI8m5QF60PEM0LclHV+S61UiQy1efun88zYxXLab+GY3bTjeOir5jOuotjflhUoGAiUyyTgyOm5OzxBHFrucm6W2PF1W6F4veHq0myS1V1a4RsMQjTUrc/N1P0mzpVm2HLUBxbSkwp8QOtIpEp+mwdjuP6AQnbxBCCvfNLcck3hiHECas6vH++wKbBKDun26vKdYpG32oPpxaOp4jwifot9dDDCYsTaWPGsph97ovpv7L1hmLpK9/9P18h2WH9C15Qp2oKmnTX6Zp+pUaX25ZJEG0HOT+HveP+zjdLg4DUN77E/PNf2vQ8BXUBXw8eXdxgj9uSh61NcjhdZDhu4fk+6wYSZF2XnOtT8I7u2LzU0o9191+J+zmmJGWbFFxFf9QiCCj34ZhVrx5W2zYDUQspIOVY2Ibg3slMx/duV/+CF1QRaR1DEHdMsg2IB0udrtUSG9EQgriQtNJXa7S+yLg+owmboh9gCq2JOZdzadela382pGAgarKQ98gUfQZjFgsFr7O+KzQ5KR4STUvYO1vt82y0nM27AT+9Z4KLtwxiGFpBcz7nMVdovjYbiForngVm/PUvx7n/bl3Pmt8UYE1OMnLpw9hz5Y/LqaSh+Tpy13SOkYTPdLbIYzf3IdAqdiIkIAkFbD4P9T4a3rMVJp91OXkvQArBwflCKEahOH0oRsw2ESHN01eKqUyRfsMsz1lCCh6oUUefDn0QRc/HMQVR0ySTLnD2mhSDMQs/UEzlPI687m+498/ewh+9vDNF90qsNk1+NzvL2lUj7D/YWP3uZEV6+3Z2PeGJECosY1lkvvz9qn7SH7VYl6omfdX+HSjF3RMLKNVekbYW5sQEsxW+pFoSrob+mhOf/TiDX/7f8tH45q0c/ugX9RkNPnhTiMblCapUSXfP5EkXs8Rsg3TRxzFk1e+g26GkWF2J7951iOG4Tc71yFRkVCxVJ2ZJXL+6rF0z1f6OVXGL2/bN86htI+xLuyTiNrfvmyNiGfjhvkk+nWfzWJwA+OhrPsybP/jn9c/VBKVv6M8vO5Obd85w0ZF7Ss3QMQQwt7BAX2yo7rfTR+JsG423JRT2cGJDKT1X++F/l+d3UBS9gMOzeaK2JFdjqwg0abSWPFlaNri+YmKhwEDU4vThOPc1sKdKCtWlQBrbkHiBYi7vl+0lIWA4XlIOVkw0+IYBVieiuv8uoQuL8N/TWbdaMKP0e0WZ83mP+bzH5sEYjmHUBTYMhSTjwWhjteOc51WRbNekHAaiJjnPx5CiPA5an/ws908tttlw3IIaMYjP3bSdlz58S909/iga6/hbLp313d/uhkSCM0YaE4RLkC0czgXPI2pFygTuUh90fb1nrIAgUBR9SNkWUmjl9YWCR84VbB2KU/QDFkIyaomUXQtD6GtKGI5ZBGgBh9JclAjngnX9MaQQRC0Z7lmXtGI1ShlwI6bJUFR0lHkxYkqU0nuokw3Ob5Stb7Am+0kuniK6RAIthIFmQnDe6gSOIYgYktNL7y5UuV7/2f/sutz4/GKmjU0D1Qx3Xyk2DUbYM1toKpaRdHP80RVPLa8nuvkcS2/mW2/5UH29LMm+wwvcWJMJ5N7DaT70V5/mHe95/rIJ12XCfDHL3tH1rDuyp+n4mQOiFdctG0612niHcVY99NBDDz30sOLoEYR76OEUQmW0cL4JOVgKcIOAYuhUzLg+GdfncItyt09lOWdcq0do1RyBbQgCyZLIwQDULPIAZnIumwbiFH2f3TM5HaFPcwNchkZ00tFp7bI1demPGHWqxnN5D8sokrAt4g02jrpBN2qQeTfAMgRO6BQJlDrqG4TLRVDzfEop5nKuXvR7ASJMQ5aKmsjSy0Dh+gFBoHAsrbRyMuFEIXB3i+5d+z2cqkgXfFIRs6wEIoCpjNuWmPrI9X/Fjybe39W9HnPuv9cdqxqHO+iWMcvQqRwrv70KB+fD1iY7il4/GZAtemWirm0sT8U96/o4hqDQYRmdKvyDTufsSIkQOhho40C86ndbavWQGn/rsnGiExqnMkVMQVsiRKc4wR/3qOHU+JpPfJwqqtcrqbZSi+NJ4O6hh3aYe8XrsUyT+P99plbst6rf7v/4F2H1umXfT0pRtSlfglLLUwk9auhgYOj70qe7Lrb/m1/Bevmflf/2lcLzFW6g17eWKcgWm48cAtg4ECVhG2SLPgfnZvnPszcyX/TIo4gLQaK/j8RHfsyqlMPOBgHajbBvLs+RdBEh4KK1yaZkgExBkxEATKN1IHdfpERYVczm3PJ1JcJJJ7BDFdhK9ep7JxawpGQs6RBtosbsBXDOeEr7FYKAHY3aQeg081FLYhmivLEf/sR4IkIkLL/oBpiGxDYEBxbyzDdY9wSBKqcO7ouYzOZ0FpORuINEMJ50OBQSFIbjVlPbudTycadxNg8pBKmIoUkSOuczcdtsSFYDuGhdiqRjECi47eAC++c7I6R6viJi6tqYaHWrTuArxcVOBKCcMnzrUJT984u+w7wbUPQVU6Gqa2lMsA1J0Q8YjltMhc9+YKFYNzaVbNwScWTLYJRUpNr3lnBMokrhB4qopRVQU45JpbZoZS9XYcFZT5F3fbwDBxj94Puwjhyizwf79HP5zbP+HAyjoY2dd332z+S488A8j9s2StK2uGciS9SUQHUacdvQqnOmIRiKaWXDmay77JTt/e97V1NycO2x9c+9lD3fv7n8t9VkPazQaygdbxuu/0VFeeG/9nz9J2x4zuM7VqZXUnLNeU+GPfWklk0DUSy5yGiQKqhT0IvbBrcdbK3y1mcKfr1jmks2DbImFeOeiQV2zxTwPI8js81Tm7eqd8n8nZqcPCY23rFY16S3b2fX4x5f/4PrsuG5l6KgjlDeCmKJLdOuz5aPvf1NbPj5z+qOR3ZsZ8OTL8J3ohy5uv73bmp1JOPyw+2aPLS+36n7vZFCcQm1Y3HSMZrOlZYUrEraOKaehzJFH7yAS04fZqw/giFgy1iCe/fPcc4n3ssZv7+xfG1g2lzzr18hPzbYcExrhfQHPsZw1OKcdSnMl7++634mgPxHPwLvflfVcUPAttHEkpXrezj+CBT4Qed2WjsopZhYyJPO+0RsSUD9tzjYgdiACiBb8Ou+PUNAX8TCMiSB0ntyphQN/dNKQZ9jhvNx8066HP+AAoobNwFaSMExJVJo263031rsmM7yoJFE1X7RUGgHbRtJNMyGGijFzpksfVGrTJot2YyT2WLd85eIr4LGdYhGo3zupgeqSMJjUi6J2HHR1z/OzS97S9vzTCEp0FjUIO+ppuNmrZ9bCMHaPk0mzrkBU9kibqCImiZR08QN/KYE4YFYta1d9BXzBQ8CxaahGAcX8uRcny1DMfojFm6DehkS0kWPpGNS0miwDYOtQzG2Ty2uP4bjFtmiX7WnEbONpkRixxANvwujxl77yr9+jZdd8STdFg1Lao89//QhBhpkqSgP5n534hO1frCBqFkVAKAUnDkaZ+d0noGoScoxyXkB3q9u4un/9Y6q5+iWGFz672c/em3d72eNxRmJmxTcgIW8xx37F21QyxAkDZg1IvT7yxcqKbXB2iN7+Jc3fYazfnYlT/7d1cjw+C0DG5i2YzzxcHO7fSlY9/GP1dWjhx566KGHHo4HegThHno4hVC5BolYBgMxk7msR+XSKFDgGJKoZXSUhrRcbrhR5Jfj/JYHgU7fNZt3sYQgEBA1DWKWTuGXsE3unlio2giKWUZZGThqSRK2SRDAdM5lIGqVU9uBZkrnvIBsMVQ68QJMQxAxDa66c4K8F3DB2hSbB6JNo31XGq6vys8j0Ko3nh+UHTtKBRQDVXb+Z1yfhGUelch+KUT4LptDb6zocwpuwIHZxgswyxBYpt6omc269EUtpjMuG4aiIYlbhCmhVPh+Ttzlz4lbsx56aIxGX3GjTfF2WP3gP0b++F8ITNqrCCuFUVQMrbuo+8rVoKQCHyjFUEyRdCxilsFpwzFG4tYpQw4GrRwxm3MxhN40LTZQcu4GCcek0MAh6ZiyjtSQLvplEkAzDEQtUhGTmNnNvLN43qM29pWdoSKUrFIIbtw91xEZOumYOu3swsoqda0U5gs+W4aidWpYS4UX6BSv3aRWPhWwtj+CG4QbO0LbGg1726I5V4fysZABUqdOJ4RWPFFhOmYWSSpB2eZSobJJ9SayQJTvLaX+X0MKRLhpZAhRTbyocK+rxSotpsKk+jn8QC368evuXU1uWLyHfg63QimlGSxD6G/Z6S3z2yFiSXKeT85truhYORTW9cWqwJawD5QlHSvebPj+F4p6LWMcoywmlpQrrnx+KsMLAowVlHBZCfsl/YrXMvdnV9D37rcS/8V1qNKYZ1pMverNZJ7+7PK5XqDoj5h1JK1KOKYgahnY4XNWbrC7nqrK7FNC1JIM1eSQlUIfXw4CFNuG4ywUPYphZhtVordV7fzXfHnhb4YQWmGrAlMZt+ps6+C+ruokALUw35IEYbYxZxSQDVVR//chm/hBLsdCEJALa2YARi7L5uefyyMG+oh84vqO6hYoOsqy5FeQex1TtOyHfqDnlarKo8kcnaIvajESdfBUwP1TmTCjlaLo+/htIqFKCY0ErVMLg0Kp+ixT++bzGFJf75iSuGMQt0zGkw5eEFDw/ar5NOsGZTu16AcMxi1tJwSKI9kC6eLit5P3grq007UYapC6HagiEpRSaufc5ratFDrwTylY1x/pmCB8OF0kbksufslbuPnz/9bRNQI4344wGiq9lkgoQlS/qwA4MF9k50z1/OH5CkMKZnIu0zmPPR2SOMdD5eGVwPDMIWKveilifq58rB/o37eDs35yFRMPOo9rX/3e8m8CeMTpw1iWwYKnMB2LByaz7JzO8ZuQeNAfMdk0GKXP0QGSScdkKuuSr1APHopZ5L2ATDFASv2dbJ/KsW041tG3CdB33bXlOrVC6feht7+BqX/+UPXBllc0x4Kwy0NrK3JVqSf85M/fuajI0OScEiaz9f2g3cqvz4QHDulsO6WxwvUD1vU57JuH0cF4uZxOhyQL2O0vfsejg30cmZ5rfsFJgPQdd7DrqZc1/b3UNhueeym7P/Mt6NvYQalLs09K73TDkxd9QL4TZf6LV5fJyWOveSGRnTta3sUo5Bh74oXsrSDAr778MsypSZJocvre938Mzjqvo9o3mmoa3btZn7QMyUKh8byvgIOhb2LTYETb8bbJkbk837vlAAXX50n/8ArOa2BvGF6Rp73pWSjgI2/9GK/7l9d01J9FNMq6JzyauRc9n6E772xzdmMoYPLgBKdXHJPocatHDj75oEr7ccHKBre6ns/h+Tyur8fhuw4vsLE/CkKTgkv3Ng3BYNSq6rx2jbFYmgejpsnWoTiz+SJ+APN5ty7zZzOxnZG4jS11MFEr8QDbFCwnGVdJyRzqhRQcs7GQ0D0TacaSDpGQUFwKkto7m2NTjaAC6PZ0fVUmtzZWW1/ETG4xCGkg2tiPE41G+dqtB9h9/1287UVPYd0SFQfGp/axcSDS9rxWy+Kc6zcNtpbhOCPQGeIcSwJ63zVlw1i8+t6WNOrWsHHbIAgUMzVrMiG0v3ssYZMueiQckzXJGApF3l2sjSl1joOs6/HAkSwK3WcfNJrCCxvaMUy2DsbYPp1lIGqW31VfxESGfspWQhvJiNkwUDBX9OmPGPRFTAZiFinb5OAPf82qJz5MP0PTEutR9ic+5MLwgGLeDXCkxJAlUjuLjtUlQFL9nIYQRCyJAsYSNofTRWZyHn/0wbey+t5bu36G0nOU/nvtq/6e+OMfDxV+9eG4xZmj8TKvwbEM/ujsMbaNJ/j2rQfZNBxHeB4//91eXheSg5vNp90E5JTO+ev/eHkd6fn8md11560E+p7whPL/9+bkHnrooYcejid6O4c99HAKQQgW09cIQX/coT9us3OiWpHFDVRXymIj8UUCbcQSBEF9RGglHFMQqJBQgTaka9V9pZDELclwzMELFKYhUAH4+ExmPPxAUfQVEVMvelKOwXzBZyBqMRC1ymo0MdNkNO5Q8H0KfkDO9ZkJyRMxy0ChF9qWlMzmPUypz/MCxS/3zHHbgQXGkjZeoMmr54wnWZeK1EV8rjQUegFmSLClIOf67JnLlQnQa/oi5F2fw+kCKcckUIq4bWIbEsdYnvJxxJLkO1B+nsu7HJpvv+lzpIbMNR0ukPfN5LAMyXDCJp33mM159EdNBhI2PSpuDz2sFFbuW3ru+Vfx1VufDajmXgqlmU6XX/KjOsJILQpdbAQrYNdMDsjhGLA2dWwCN5YLKaFQ4Z0utVozxebS1Llcdc+4bSAFZXJMJclyKuuW1a5KMKTkcBNVhhKUUsS7IgcDqLKqWxVPQuh/aV9lM9dxNWbzHvHgDye/lq/g6numeNzm/uNdlWMKQ8DuJgFHK4XThmM8fvNglbrZ8cCumQyZBuTTpcJTiht2tiY6PHR1kpglWZNqv+lzcqAbakh3yLkB80WXvUe5P1bi9OF4V+S75UAIQWSZa4Y/JBxOF1nft3LusS6E+5si7wWkIiaTf/s+Jtucm3MDCl5Awjaazrh+oDiS7i4IJ+cGDZSYRFNl2G5gSgNfeQ03V5cCQ1Qrqqml1LGND8Bqo8oLmuz5uYdt5pvZLIWat+GH/9zjueyenOIFf/oIYp++sWE5y4WvVMuMR82CxTuxUIfjls6QFAbQWMJg23BC700LHTMRt82OiZNLQdEPKAmbZV0fQ8K+cDwfillIIZoSTEr9OmYZZC2/irwSterTazfCSg7lJUs5ahqsSurg9qkOAgmlEDz0WX/KwS/+B4eDgHybtxcRgjck+8p/pwueVgZsqG5cX9b9Sw2SW6HGMnY9QPzVL2pZ5Mjdt/K8d72Ysf/6BsVAkQnV4Epd4dBCsS4YcTbvccuBBS5anyJmiIbk9tm8hyUlP90xo+sSjjfr+yNsGYyxYzpbp3RdCfOH321Z70aI33IzUx2d2f6rffBzH132zXZSmvP4SxnKeQ0DJrKuz3yxiEDgBY2/cSkEW4cqU1YLTAmHprPkXZ98PmAgZrJpeIR41CTn6r742wNpbEPge4rAMJBdqOKZQvBoJ8qdISF/YWHpKb27wdE061qRg2vvv/Hlz2Tg9nvq1ScV7JnPlruJUjqgqBsSTaP7KTTZd8NzL2X+9AfzwMtex4Y25ODSbxJYc/lTkTMzyJo+JIKADW95VVMl8eT7P4J//kUVMZqqHBhagoEgYRuIz3+Kgf9dVOuLmybf/LcrIZEgYRucsyrOQr6koC/IFTy+/Ms9CASG1CbBQMxh91SWXfs0aXE8YfODXzxArujx/R+9vVy/Vs/82n95Df/0nPfwjq+/s+65Kr9eL5Fg6ls/hec8C7bf16LE9tj6xivK/2/KHhHpZINSixkdVj4xkGIu6zKdWcweYQjBur4oCL0/1Uw1tQTHlIzGwn1IQ5MJ826AH+ixuFvb3pSCsYQDSqv3zxfcppzHUuaBnBvAv38E3vzaju8j2qyNhdDrnECpqnsrtN1Za9dmXR9PBZgVAcBKKe6brFbQrxzmGn2HhhT4of2QLrS2/zac9mC+8pvdWFdfBR9+X8tzG+Hesx9Z3tPti5gVPtsSsXexTlr5WZXPCd28AOyfzzKW1PunB+ZzZIp+3V7xueN95IoV5FOpy1GBqlqzDUR1IFnMMkDAbM4jZhnkato7CAKStsGhhQJRy2BDXwzQ78cMs3YcSecbKhIXfcXdR+arSMIxy+Sc8RTTuWJ5L7ld9sVFCAbD9QZKlUnhBc/nCVsHmMouluPuP9CxDVZ6ntJ/K7NJAPx230Ld+S9K9GEvzHZYevW8s3U4WrVetE3B1fdo63MgajKetFn1qQ8tmRxcukahVYM3D1aLbpw+HGPrYKTuXQshWD0Q4Zy1ffxm9ywAX/rmmztqx6XYNc3Ixis5ba7/+ter/j6F9HB66KGHHno4CdEjCPfQwymGkhPLK6ccEnWE0N0z2TrDuxksQzAci2CGTlo/0Eq4JbUWyxTkiwGm1E4L25LlxZ/r60Wk1WQn3DZ0RGelsu6hdL7KCZ33AmKBYj5UcFkoeKxKLJIehBAYQhCTEscIOLxQ4MyxJDumM4wkbJTSzuldM5ok7fk+YwmbfXN6sZjzAnbNLBID9szmsQzBhv4oo3Eb09DOkaRjErMMAqXYNZNjLu/xnDPHOmrDVvADkAYcTOewDIHwtANk/9xinSY87eCeyro4pmTzQKxhCiPLEBhStCT/RkyBexQ36irhB+AHAfsq2nc25+EFiqGk3fAZjjdOVofpSVrtHk4wRPrHef4FP+DbNzyJfKyxFzqWFjztMdcSSSZPzJTTxxgzOZd9c91vlpuGhCbp2jqBZQgmWjjda99N3DLaqtXO5j36Ih4JuzXxuxJDMZNHrk+1HDy7ohuv+ObHymLXdK6cnnql0Bl9uodusH0yy7njScYT9SlnjyVW6r2WNmVu3N2a6CDQaoWnEo66fXOMP75jba/1xpZucPK3VqCakz5XEifLuiN/1kOI/eK6js9XgLtq7bLv+73HPbghObgWOaX4+twcL/viv3LR29+jN8wbGEKVm8TddNPaoiwpSIQKZoYUFP2A+Xx9fxmIWm1vI9F9LVP0mcgU6Y9Y9EetqgrnfS+0dyseoEHnaZXdoowuO91U1g2fQ1VJSVlSVt0v6/qInCYU+xVkED9QZaJGMzT6NWEbmqiGJohIAaOOXUXMLwXxBUpnadKB46U6Kc4YiRG3jfLmPMBD1yRxDMFNe6rtgFKzXPof3yH9tufx7Zzud7V1s9GEnQ8OjLDVshezGoS+sobBgSfgh772tS8B2pMPnbkZznzPm/jBX/xL+fhw3K4iQJhSCwpUYjrjMo1e1tiGqCK6REzJdTtnyn+XfvICrZj44JGkJkj5HgsFj5RjkbStclBo+j/fSzdYUQL61/8PGQRdqakduvnXjFz4MFIRg2wx4HBFH57Pu20JTIFSbK8hlG8ciFCQkgetTnDrnhn2z+ZZP5LAUzCXLyIEPGg4xr65AmnX4+ZPXs3D//QpHRM0pBC8MJ7gZ4Ucd7VQ7V4pHO013P5/60wZvBIzP/ox8cc+vuqYACYaBAfN/t372fDuv+647Np3UElwTd13F+f+zRUNz2sGc2qqo/Nrfx/869cSCMHea37Z9Brnf/6LoS99pv6ensdz/+KPUcC3//fHNYR+hSlg/0x14KAzblQFUaQck2zB49ofv70rolKJHLzvsuez9rtfrTrHt232f/H7xIf6cGdmUdvvW/IYUHqi0TMfBOixrongfQ8nCEINhqr/BupojC+KfNHn8FyB2l0hIQR2SJ5VHfop/VDetBQoEjFlOF4LTh+Os2M62zJQrYT1/VHillnOxOP6iqhpcsZwMiTaKsaSTlg/RRDoQK+oJYk98QlM9A/A7EzLe5SQ+M0dcLieYFnCUNRmNBbBCwLurSD5StFc1fi+iTTnrEqVg9P3z9f7h4OarFG1iFgGpgyQYSas1VGLgqczYUhRUooV2mYDDi7kKVz2rCURhIsveCnb+p2GvuGBmMl0tn5+T9hGVaaN0rF7JtJ151ZiJl8gahoIIci6PntmF9tmJG4znoiQ8zx2hnu2leJS+RqZ6Jhl4FiyTD4v+h77Za6rfYmir7hnYp4zR1MIIfD8AC+APsemb9Qi7XocSRfaBoOCznrQjEysat7yupc/s+M6VmLix7+BCsEB1aDzRC3J/739E7z0HS/oquzpJz6Nc8bjrEo5FCv2iXNuQMQU5D3FTM7DNgRPuu4qYAVs00OHYHATUUtyzngCx5RawdgPGI5b5XcbKEXBV+yaKZbJwU/4+ZVHhRzc6poVJQd/5f9IXfiwqmM9gnAPPfTQQw/HEz2CcA89nIKoEwyojKSXdKVm5voKKbUCjW0IAnRqZC0MqfCKuvDS2qkyMhR05GHBW6yAZehoYM/XCsE2msyQ8wJc32+7sBuMWXUbGKU0zlII+qMW90+kOWM0SRAosq5fvYgVgq2DEYZjFrcebLyQdX3F9qks26eyDX9fCSilVZPTRY97JrL4SitCmrK56gho1eG7J9KcPhzHkosbGqbUG4p5V5VTvpYc6a6vCJROB5n3unAxHSVvd7rg4/oFVg9E2598rNFbnPXwB45IIsHzn/IL8uk0N177x8w62oE3kE/wuOdeWz7vZCXTnwiIWLILVYKVQcb1SToGEbM+RXMl3CYqUM0gmpEKqs7posATnJ/lK0jaxooShHsM4ZXHeNI+7uRgWDnC+0Ih4HcHmm9klfDgscX0lt1+y3+wOMZzWe9TP5HRM2xOBnQzZS488/kMfvKD1bJdbTDzije0PqGDm9+TyVPssJaegqlrvkrknSXyYPt+2B81me1AXba2BjHbKKtjAaQiZl1KX4DpnNt2/hoOM0wptK9hIlNkokaFdiBqVt2vETThoAPf1BIGz5lcva2WcAwGomGWDaUzgUxl3DJJQorlKfUZUjSw8X1MCSqAVMws+7tEeL7QsmxVRoNlCC7d0l/+u/TTpVv6+ekDs+XjpSD6yLqNvKpvkCdEYnwxu8CNhTyGECgFtoDnxZI8L5ZguEI5z0umwrJPjpkpcfXXwfc7Jrmuvu9W8H0In3l/TWasc8bjTbPhlHyLCVuSLvoYUvDde6YadsMSAbikrBczLRKmJtlXEaO6UMKtRNIxcP2AhbyHY0oiZv06ct9ckTsOLZTro9Akp0PpAk/+25cxMnWo6/s++9//kqs+9SM8XxOzKlFLfOkGOTdgTb9D3u9j7WiSvbN5NnoB2SLcvnee/rjFeCrC5sEBfnbvFAeG17F6ci9KqY6y3NgIXhxL8I656SXX8UTBzAc/1P1Fb34t/O7uzs59+GOWrCJcidK8LLsop3RNO7J/s2NSKdY95eKGJOG+D7yHxA+vblpGCc/8k0vZXaPM2MlomPd8Pn3D+7pSg6w8b+13v8o3PnoNjzxtiIgBU/mAhGMSUToj5OALn7Jsi9TcuBEzFI/pEZBODJSmWkVI/q0hBR/lu+N6AYfm8ggh6sjBSyyyDpV+RksarE46TOVcskW/6nQhNJk4ZhsIBEnbpNHXJIDThuJIAaJCYKY0fpRInPGf3EjmqZfCoQMtqxz/3d0d+yalEGwciFHwfA4uFDClqLO9E7bB+v4YliHxfIUXZtAbSzrkPR9DCNxA78eZcjEDSaO5rOAFbB1MVB0biTt1e6xQCkATDMZMAik7DgBSQCAEO6Zz7JzOccZojLF49R5rtug3tIVlg4HEMWVLG34wZnFgvtCUJD6RKWIIQdKpp6fYhuC04YS2lYVk73yW6axbzroKug/NNrD126HgKXKuXydaZElBwrKI95t4SjGbL+IHipRjYRuSjOuRc31MKbANSdK22NgvuX8qXVUvgEzRIxUxyRQ8DCnoNkaj1MdtUxC3bfKuF9r8gsGoRd71yYbf2+qUwwNuP74QGKq9hVYOEnzb3zPk+lXk4BI2D0a564jeEx/Y8fuu5rtWSKQnEWITZ4zEq4QNAgWTGZekY+D5it8dTJezfTzytCF+cf8Uz/jtt1agBvU4WlNkycYZ/ss3M/4XfwHAx6+5i//+wT0866KNvOsFD+kye2MPPfTQQw89rCx6BOEeejhFYciSD1pVpX3zAx2lWbuB0wp3HKpWKolZBkrB6SNxvDZ+7oKnibCGEEipUw5VEmCLfpgeEpBCsqE/im1KCl5QFVkKsK4/QsJadOIrpXBVwIH5PJmi3ixIRQxGkw5F36cvYuIqxQOHc8RtiVDhBgx6kX48oJRiOl9kMlOkf26KyPOewpqK3+ee8BSMd723nL5nssl7emAqy2lDcYwwQtk0BHlXP1OjSNdW6Q6PB05UJ+WJWq/2OHHebQ/HGkfn3UcSCR7/nB8ds7se/0+vsUO69kDtsWYqEq0QswymXTdMy6w3jw0BhmxN3l0JtFPwOBocgW6cocFJMJZN5dwep3cZONo8lLV9Dk8+bfjo3qRD1Gv4LQ2d+o2r0mAeAzv3WHwDnarGnSzwA8UxFXnuDVQ9HBWs4Fe5gn30pj3zZNxgcRNTwMMvegKn3fSDjjZLg2Qf+QsuXlYdfv3GF/PbYr7jx8qhuL6Q59ld3MPscMFaS/wsqdGXjs7nvaYEyXboxP49ETc9BdXEYccQ1e+qi/4ouji3ZN7n3KDc5gUvKBMrjAbvtHYatw2BF9CU2PPbxz+bC37yDc5zIuSDgJkgwBKCASkxK95Fqdj9X/shoNWWk47BYzb187Ods4vPd4LNvv2f+VjX11zwrU/zm2f/eVfX6HZW5L0AUwq2Dsb4zYEFpIBG7jS/gb1lGFWCbxoiZIl3CddXFUH++huOhym4BXo8OJR2SdeQiDyl2Palj5TJwd28TYFev40lbObyLtPZYjX5UymkFIuq5mLxusVTFOeMJ+iPmty0ew5CDnzckty4e46zx+P4C0WipgQBAYIf3n2EM9f2cc90nlUph9GBKL+97KWs/ux7Ox5PDCF4TCSGPTfN0dcQPjFh12TwUyiSjtHw3Jmf/oaBx11Q/nupX/1S1sbLJSVLpRj4nw/C699S9VuqA3Jwqb7rn3xRVfp2y5A88ezx8phsCDAFbF3dp68T+ttYW5xbcr0BnnXFU9h37c0MxGzO7XeI25Ij6QKGFPjF5fVcATzkpuuXVUYPS0cQUB7vasnAxx46G8LhhQKFcJ/IDocCpRS+CjiScSn6QVhHrc4bbzJeVJfc/olGkxGSjk2gFEXfZzbvgoBc0SfrBuTcANsQjMUjDa8vZQyVAjKuR8ELWCh4rOuL1Z0b/96PAcg844mwb19FIRK+8i3iW7cCNN1jK6G0TI9aOiCn4BlELMmemXpV4LhtItACSCUko1ottzZAzjYW5+iGY1OD5mxlaue9gLwXMP3VH7LhuZe29ZmUivrcOz9T/ns25zMWr14HFD2F00BUotHSo0T0tg2JlNQRqAte0Nb/fChdwKjpbknHYPNgAs9XIalZNRRoyHtBw+xujiFIOCZCaNKpJiEb9EdtTKn97pU2rmNqZeZKArclBCOxSFVG3j7Hpq9Gg8ALFFsG4xR9n5m8W84Y0hexSNkGu4o+wy+8TJfbsiUaYy5s00wx4Ff76rOJpRyDTBg0dt0XfsoTLn9sy/JKb+Pq1/8zF1dUSJPwBdligGUKNgxEdCYWpdj0xrcvoeaNkd16Fg8aieEYkukG5O6Fgiaonzka58hCkQBIJvX4sFIk5WON5IteBMA3btzJu79yC096yBre9tzzsMyT8Wl66KGHHno4ldAjCPfQwymKyoVkzDZYqEgfuToVIWoZdQTcTlGKjLx3Is3mwXjbzQPPV3gdOA90BKxN0VPYtsG2YcmBhQIo6I+YJCwLWeEYPpzJVykOKyBmmSRtEy9QzOY9hBCMxBz8wOfWQ2kKniJT9DtKc3Q0oICpw9OsfvbjG7Za/4+ugR9dw8wFjyD/z//ZtBxfKWYLLoMRG4VqS7g5kcjB6wejGMaJuRA6SQR0GuDEbM8ejj6O15vPu4HewFihsdQ2JHSYyu5oYCZfZCqzgqqwLZAueCQdA4VWVAe9cRCxBJ0KC8slkC6Kvmo79zVSb1g2uqjryTAGpws+W4eidWlze+gQR3nQGonbRMz2m1rHAitFEDalaLvxLgWMJhY3eE4V/eCeddPDyYxeMEknWLkWKo17qlSqgl+85C8Z3LudoX07mo4nClCmxf6Pfr79TdoMStO3/w5LCIpdGDSHulQWncy4VWlYm6G2BgsFn8GYRbrgUQx9Aw1ruVKv5CTo/IUaH0mAVjyby3tt1ziN0vy2Q94NykSD4bjVXHmtwa0NKbj2/saqqKP33soFP/kGoLtoVEqisjoapbLInR/+XFUAX2lD/qnbBpkvBEykC3SQXbljrIR9b6QXurYJxu+7rfmPDdYnhtCEX1MKUhGTqYxL1gt45PoBzh5LcP9Ulpv2aGLgIzf2EzMl6/rqiU0Nrbbn/T/46pe6qr8ANgxEMQ1JpuizZybbMJi0EWFfCHjYDd8ul7MUfOXG3Q2PJyzBnLt4z0Y+gYevT/Gg0RgLeZdf3n0YgLNWJ/l9mBFjan0fq4bi5LyAXZNZvn/bAc7eMsKqPod9cwX2zGrF5+d99YNd19tXin5p8Jq/f3fX13aDE3WIK9aMa0opFgrN55mF79/M2ssegbFElesSjofNnrzyS+x5xRvLf6953hM7rkv5nHQaElq5U0rBdAXZ/tIt/Xz/9kOYMadMUreymY7v0ey+Elj/pIvIXfhwch/+bwLl4/kBtmXiLbFspRRKKS48vK/9yT0sC63UgEvHl4qF669n95+/EgoFiETY+LWvkjj77K7LCYKAuaxbR9pUCnKex5F0oakNErWXH81qG6KsfiuFIG6bPDBdn6WzP9I6UE0Krdq9o+LaVuur+Ld/qAWTGtgwBc/j4EIe2xBELIPhmI0hRfgO9dwvpSy/R9MQFH2BQDQMEKoN2DOl4Je7ZxrWq3KObLSH2shv1HwcqDg3kWD3ez/Ehr95Q0NF+MpSH3j7v7DhQRtRCvbO5hlLNMjQis7y6gUBAm0LuYHCloK4bRAoRaDA8wOCYJGoDJosHLWMsk1iSqEFpkp7lgKCQDGf96racyDiMBR1ynXX5S+e0Coz1mzOZTxpc2ihiCWhL6oJw6W94qGYxVDUxqplIYeImJJAKXINbKuoJRsKMNUiUGBKg5GYwepkBM9fbPdNA5Li5ETbMmpR2xsmm2SwMw3JoXA9+KTThon87m4yDzsL1WQ+V8BVb/so8+u3cN2OGS7Z2I8pBXccSrN7djHTxvlrk6RsAxAY3vLDrUrP8+RtQzpri60V8yOWgReouna2DMFTzxjizsMZfAXPOn9NfaEnOEpf1s7zL2Dhh7/mLz71Sx6+bZSPveYSLFP2/Jw99NBDDz0cd/QIwj30cIpicY0nGEo4LOT1YlqGkcwDEZs9LI/ckvcCds1k2TIYX1YqxhJsQ1D0FgsypcG6VJSs5xE1zTpC1HDMQQrBRKaIbQgMKZjJuUxkigzHTKK2RZ9jcPZ4gvunMgzFLO4+Uu+QOFYIlGJ2UpODofliXwEDv7mRzOtextQHP9PU8XFooYDrB0xlXTYNxIhZJ/6QHrUkhnEspdO6Q2+B1kMPxwdHWzn3RELR1woatVgoaOV725D4DTZ6K8kKSxmrIqE6fysshXjcDt2UuGkgyr2T2XLmAVMKfFXvMDze2DGda5iWu4fjj7uPZDh7LEHKWZoq4omImCV57KZ+lNCbV1ohs3JrSS2mJz+Gio09m6l7HHMySe8lHVc0U5zsYRHdNk/L85uwEL/zjo/xiM9/gNN++SNEAwVPd/NWDv3Thwn6B9veX6BJhKW61N5SqO4/OwXkp6eJDLa/fwmdBDtrm676vOmsq9M6W3oWmVtCat6O0UFDdPr+VyrgphNkiz7WCgZBNkMlwbu2qdJFn1Qk9O2E1YiYgsdu6q8vyHXZeMVbG5bTCHc8+89YfeaZiwXXdJOBiMFANEbRCxhLWOyfL5Jz/fJ5QcjyKBFAlNIEUZ3KXrCuzyFRoz4YtWQYDNocBT/gzkMZypUSi88jgA0dPFstBgzF084YavibIQXzNXa8ryiT7yczLhFLkgh9bCnH4sEjCWxDYhuCTQOxps9kNBj84297J5kuCcKsXsOavigxx2TPdLapz7Xhez906JiprTW6xwNHMtx8/yT3H86Uj1WR1CezJPqibBqM4LoBRU8xErOqTjKkIJZLd10fSwgcFG97+990fW2nONUCgNKPegJ91117vKvRFRr1O3OhXmGxHdZe/lR2XnU9Bc+vW9v/cs88m8ZT7FtYJEht/elVXd+jFqX+E/3VTRQufThDN/2GwbiDJQW7llqmEPQ8EyuLSuJvLRm4GZY65u585SvJXPP96oOZDLueqtVH+176Uta99x+b1zWslesFTKWL5NyAaEXaGqUUed/nvtnsigYANYJtClyvupWatUu2Tm5fE3NB13mu4LK7gXpvM1SSOkVFWbYhQBk8eCSBEI3nbqUUnh8gRClDp6LgB8wXmpAz62R1m/eMKpOg5jKBduFkXC/0FQcU/YBcMcBXqmxvCSE4azSBrzTxVfdJRfCIRzL909+QevpjMdPpulr4kTj7vvkTTGBzeGzzYISUYzQMHpFChpkvVJloa8YsTeysgFezCKokC5dgycYZXIdC5V+FVv7XbaJAibqgJ0vWvy8BrEpFUCgOzhfoj5iki35d8KRlyHLm1VpEQ3XgRm/NEFpoSfefalEmgQ4o1DaWqFqTub6210uZH2zDYKkrLd+2y//fzO88EtcqvzM5j2iY7Tf+699z264jjL7i+cRnJhCAF4ly+z9+nDuio+Vr08WA79833TDotFJkKjAMpLf82WXBirGQL2IaRrkvueEeyI6pPGMpm5Rt8IP7p8sBnFuGouzcPVEO4llJhJz1o4pSK/7ph69n8+oU//qnFxO1TQxxTN22PfTQQw899NAQJz6brIceelgSKtepCtg5kyFqyfICbKWQdX3mCi5Juz0RwzYko302hhAIIQgCRdELODSvoxSLvtIk4YqFiBB68+rAQo6xRAQzvBbAlJKYbdAfmDoqOryuP2IylojiBTqdo+cHbOiPspB3CRTcO3H8SMLWky7Rz9XinJKzMH7v3fh+nrwTaxjNCpQX67N5d8UJwkdjsRJzjGNOYPlDwI7pDNuGE8gmjq4eejjR0cgx/IeIubyHBAbjdl36u/6oWXbUdZu2uZQ2rR2U6o7Z0ok90U1VV6VsVqXsqmOBUuXnFaU6lgouOcsRZeXAyg1bnRLORyHC64TePClt9oQPocItlbLqS/iDChuj6prwvxFDkPc1UbOuzdpsHJXckQKtVNdeH5Zy3esVR5q5Nrux9krk0oqr20mQNCmmo3OOIvJewA27Z7ns9JGje6NOsJIGtyhtHgmSdnuF5NLGSsSUi99gzfsp/VnaGPnKFz7Nu//6DXVlRSIxrr99B4kax/ypRIzooYejgd5q59ii1Zh040v+khsvfxMPuu5bjN9/O4bvMT+8iv7Xv4HVa0ZYC2Rcn/l89QapKQUbB2Llsi0paSFkxS2bNlK85dau6j0kZVfkYNDKWkslqLULyuukzNmcS9SS5fS/CpZEqF3ZeWRlvriYbTRMZVx3t6M4CXqhwlolbMNuaFOPvfUKXZ82ZZb6y5lX/S/Tr3tNHdGjESKmVpGbaKJW3Ug5duNApK4ulcrJzRAo2DtXqDt+9ngcx5AEhonhd0dQKIyvbvqclcSp0t+2IVkoLN4j7wZ4KsAK9ZajlsHZY8mW9zQlzQMb162DvXvb1rvUotmvfIeFvMve2Rz3T2aaX9Dg5T/u7S9re59W9w+E4At/+jCmMwX+88fbybkB/TELy5ANU433OQZzFUSjghfw612zVeekIiYPXd+HHygu/si72HbwHgCOnP9oiq96O+v6I5hSsG++QMoxSM/nlkRyNoCvj6zmzjMexJZf3kSkv7/LEk4MGOPj+IcOdXfR2efWHVJKMRC1mM27TdW8/WTrfn0yodv+IgsFfh721Y0D1YrgGTdgNLm47hLAwvi65VWwoiwAM51m4kUvYOhLXyEflAIvVNf+HqVUHWGvh/ZopQZ8rFrznkdegrdnT8tz5j73OfK33cZpV3+n5hfFQt5j51Sm5b7cfNFl31yeoZiFrxQFL2g6V8lf38yad/0VIl9EpZLkvnBVHUGv0TxQgiEExdrWa9CfI6Zky1Aczy89iWLndJZceMAU4DV4CYaERqasY4ryM0mhbZSS/9SUmpHXKgOqpwLuq5lrh+N2mTwphFb/lkL7VrOez5FMIdy31L/HbaPqDmNJh4Sl30vB9xEICr7PQsHD9QPd59D97X9/e6Bp3Uo4c1QTnMcTUf1chuC2g3MALFz5YywJbqDLnMt7GLKx76jVGmImV2QkYeP6AX6gEO9/D4lrvkXlLKGA9FOfCW94R8v6SiloFN00lXUZiltMZVxuOzRX9dtg1GI4bhM1dXZYKbSirG1ILEOrEg/FbIJAk4nduCr7zmO2QbbC7kvYRkM/eMyWZIuN+3+gFLtmsx3ZyaCz9JpykShsG6KhyFWnKLVW/ls/ImEbpIueJkQnbUwpMaTu2wI4OJ9nMGazJuVQ8PzyPaPJGLd+5Cv4CHbN5AFNtqVBFjyjybdZwvYXXcEZn/vQkp6lEgk3y02HM2xbnQL0N7qhP8a9Uxnumcxyz6Teq++f3c8L3vFnyLAlHlVRxrEg9a4kSt9ZoBQjawa57v5JtrRZR/TQQw899NDDsUKPINxDD6coKv1CSimyrn/UCFh7ZnOcPW5VbZZZhmAgZjGVKZZT+wQqwDIkJXPeMARRQzKUCJjPeQRK1aVDK2Eu7zGXT+MYkuG4jWNKlFKkC15VyiQpdGTl7KF5HFMrEg/FLMYSUc4a72MknmcsbvPz3bMronrcDXL33NWxg7tMEr7sMcx8/+a2aURnci7jichRUX9cSUylXabSLiNJm0TE5ORa2p24ONZ9uYcTB6fKqz/VVHiWgwCYzBTrxv3Kua5TZ2W5TKXniXZwA4XZRZxBp/PZclA7r1VtllX8f2W1S0dTjkmxtHtQxZJcmVpGrOUHZUy1SRF+qqHVZtJKYd9snqlskaGY3f7ko4jjOaYJBJYhOlJntyScsaYPv0kqwnw+y4Wnj/PkZzyHf//4Zxd/UNAXMUkXvKOmktqIEr+SOLql1+NY22u9ebUbrHxryZWQED4BX6JOFds9eWW56IuYzC1HuV9K7n78s7j78c8qH7pi0ypKST4XCj4/uH+m6pLxpM3mgUVSRCtyMMDl3/0539swyC1uZ+lYHeBSJ9ZZ/SsQsWTT1NBlHMW+E6hqEuRSe0K26DMUs8pBz3+o6Kj9mjCSI3ff3tV9pApgzy7ogOTmBaopORi0wlptL1z6sND4+db1OeTcAPdxT0T+6Jqu+trk69/a8bkxy2goprBrJsvWoURDBbtG8ILmaanj3/oBmYc/BFXQZI1W4X273/shyLgUvAzzhdbjXiNbZrkpob/xzk/yUj+gEMDAUIKBit8SUZsFt4BtyrKC4lDcRlFgvqCf21XwmDNG8P2AdM7DNgWDyQhPfMWTMILqXrPmxh+y5sYf4loOP/rwN7CnpigIgb/EYaE0N6lMhu1nn8PGb32LxEMfsrTCWt1nxUusxoN//SvuWLe+q2uGvvRVsq5XFeSQdT3WpWKMxJ1w7obpnMsDJaKQgLmnvYjB71y5rPo2ii1tde5KtV8iJL/FOwig7ARx20AppZXAgcMLBWxD4PmKANh3/mPgU/+0IvcqQd1xGwcW8mwdjrMDSC2xnPktm1ayWqcUKom/laRMOL6m9t53v7stObiEwm23Mfm1Kxl+3nPIFD0Oz+fZMZWl4AWMJ52m1/kq4EhazwkleyvpmCRsgWXI8l5h6j1/TexnP62+eHqK5FMfjQImXvNmcs98AQCOFGzsr1QoBi8IykTZOjRo5P6IBUogpeLwQp4j99zNuldejqwhuitg4cJLmPmHDzAQNXFMA6tBlrGSn0mKRQVYwvq0y0jmBT67Z1qLCSmlbR6d7U2vhdqVO6JUmThqVAi61Gd262xE3D6dIWoKViejSCmYyVXP9YaUuOF76I+YOKag0IhlDaQLPpYhqtRiQX8f6YJHbmae9c+9tCqbQyWS3/sWie99i4lv/hQVEsg39kcRQpTH+F2zzdt0KuMSNWWdINJ0zmU69F2vSjkMRRxOH6omVaogzELrw2hMz21FX1UFeZWeBfQetSEh7yqiliYHW4bOWFerIjybL3bsb09FNBF4/1yuaskfMSWbB+JYpljSfBcAk8KBoo8f0HCdtLbPYb4QELMDNg1EuH+qmtw+GHf49b5FVX1DCBxDMJ50QsK8Pm4bksPpxX60aTBK1NTKzzM5j0OPehpnfO5Dy5q3S9cV01mkSJFwzLJy9M6pHKMJm9mcywWfeC+n/+5nVdeUsNRxulm9j6UX44L1kv3pIt+85QDPeega+mM2ytdBhcfCP95DDz300EMPjdAjCPfQwykKIbSRGSi9QHz05iGu3zG1YuVXptY2pY7STOf1AmogZtEftwBBPGKSK/ocmivoCN8GlnnUNii6AekKxQnb0ErBtYvmgh+wfz7fvF5Rq+wMLS2CJ7MubqDJxKuSDmtSNk85fYj7prJsn8wdO2fQ5c9dkvoFtCcUmPJYUxyWh4mFIhMLRdYNRjHbpJvsoYceTl2YYUraTlIl/6HBb8/r6wgDUZOZXGeEmiPpAuv7jBUl/XRTVtYNiK0A6baHExfH4kt3A8W190/xgrPHy5u7xwPBcR7XOn3yVuTgSnz/219nbHwVb/379+nyhQ7gE+ixvC9idk/yuulnrPuHtyGUHvAKmzZz+GNfrjjhZNMJaQ2/HbtwhXE0FS5PPZw6/exowwsU++ZzjCYcLCmPWYBqu+68VDXdhKVX3I02g5dikTwsGuFu1yXfQY0EgjPOfwjD8VD1TYWZDsokB0HKNsuBdArKKlUpxwrLCC+tKXuh6DVW9W1TLSE6a8vqdLuKQFGVRtgPVFvClkCrn/VHW7imlVbKipqL7SIq/l2CKbXN2wqmXCQ0Vj5jZaBi6XdfAek0G17ydGQ+iwK8kVH2f+7bABT9gP6IWVWWbUr6wmO6zOZzWOXvhtQqaAIB730niR98t3yVNzJC7sprMaUOwG/0crr9ApOf+BCZv/vXtuf9au98HXGkEvrbr/694AUMx9pnF6tFM8L7LQfSPHRNkoW3vBPnR9d0VJYC/P4B1OBw03MiplFF7JnKug3J6oGCB6YyrB+IEDUMQLRd2xRbLOKMG37N3MsvJ37X7Q2/MwXs+cy3YHy85T0qUVsbAQTSgKB7gQgFBAjS4+v46C+bqB2Hqo5eRfuZhlelxpf1dd/uswxuvX+KgZjJi9/09KZEIwVYboEnv/oyPvAn/8Kb//et5fF3uZbgrmc+k7P2dkbA6xTHyryytm3Dvffeztrgwovw/ICJdIHJBvZ4Jcld4jGasBbHw8T6rgi+zdBJGSvddqWxY6mBu6qitlKIjohhK9FWJZTKWPvDbxJ/2cv55PwMf5ns76oMpRQ+cNmNN6xAjU4NBEr700pk4GY43tb/3P98qqvzD735zdx53qNZKPoMxyz6IhbTuSIZ12cwWn1u6dnmC27dvLRQ8BiKWRS8gIIXsPryy7CmJquuq8Xox/6duTtvZ/Yd70W1IN3KBoe9QNX5JXOez10T2s4Y/qvXsOGO3zW9f+pXPyf55IvI/fwWsq6Htp203aUCbXsIoYmZBS/ADV+6IXTAZslcMaQICbSa9O8TsJD32Def137IWpunSeeJ2QYzSwxua/R8nbqs5vIeeUMwk1to+LuqqXAjO60SEVPi1viBFGEG2Ode2rS+lcdG//hx7P7+zfq4qF4Xtlsjum2c3l6gqjLKVdbR81VIcIbRuM5eoZQi7XocThdY3x8lbplYhg7acn2tPr14b4UbZmSJWpJAKebyLgcX6rNZNIIhYFN/HC9Q9I9a2pavWAcZUjCVLYIQSKW6Gmv2/t37y/+fafKd2eHDXLAmWTdv+YGqIgeDbsuCr9g9W72nvq6/Wjl/53SOTNFnJueW1wCHN2xjbPe9XTxBY5x/1/WkzrucyaxLzDL4+h1HmAtJ3Rfd/N2m5ODKY93YhCvlSVxuOZ41yBnDMfbOFfj0L3bx5ieeXp6j5MrENvXQQw899NBD1+gRhHvo4RSGJaHoa0M2FbU5f10/v9072/IaKXR6FEsK0q7PZHoxMZAUenG3KqVT5CQcl4lMkfGkw0jSYSCmt61MuagSDIKobbJhSOqFRQOL2jIkg0mbgpfHCxQjSYeYY3J4Ll8qoiPEbWNRKbAGJbWhtOuTdwPW9kWIWpKtAxHunsyVU66cSGi9jF9EzDJY0xc55ipOK4H5nMtgonmkew899HBqwwsU/VETpVieKtypiBVidnUThJEu+nhKYXU4n3RSwwePxrnlwEJLJdPRhM2qpE3EPPnmsR5OTMzmXfK+T1wev+XucVUQFjTNylGJG3/2k47IwSV89r//i7f+/fswpFZiAf2cMdsgUJB0DCxDkil6TdVqABJf/DRDn/9E3fHIzh1sePJF+LbNvm8fi03uY/uWeql/e+gWJ2qPmS94zBc84rbBeMLBCbMEHdf16BIa69O/2d/6hC6exzYEpiF4+45DTKwb5ppcriVJ2EHw0mSSM//rKy0zBQ2P2EhRbct1woPaN5fraB6oxWDMqlKfbIRGwWdx2+Dqe7oLSB+OW5w9Fm97XsSUVXZk0jHqVMKG41bTgDiBVsurVVprhHQ6zf/94Ak89beKc+8CXF2ADBT2xBE2PeViAgS7r/llW0JHzNLKfAP/+DacndvxRsaYfMu7YVgTVyvbetVzn4idnq8rw5qYwHrMQwmAQyEBowQplqY0KRdmOzrv8VsGuGH3LOnCYttbEjYMRHF9TaQoLd8e95F3seHOxfr50uAHr/57Dp91YUf3WtfX2Cd0cKHId8N+dc7TXspDr/5cR+TDgx/6TMv71S6PIqZkLt+43/tKsXNaq60Oxy2ipkHe81EIlFIhAU2z0Bp9cZX1lUIQfPTTzCBQP7+O5H/+MyKfx9t8Opn//G8CIBkqHwZKkXP9Momz0bPevHeeTNGv8h0q4Et/8U+8/N87V1AuXaeAz330++1PrMCalMN0ttgwFbwCLtw4wIvf9LSW2dQqj7/lf99ad2y5uOdRj+aMG65fkbI69dOuBE7/4Q+45RGXYO3b25SUqgDOPof0v32MXYfqx5BGSEUMjmQKVNKgdpz+ULbc9//ZO+84S4py/X+rOp08eXY2Z2BBFAFZwYgYAAVFERSJ+jOL+XoxXzNX5ZrBLFEURMWAoIKICgKSM+yyeXd2J8+c3KF+f/Q5Z04OszO7C5zn84Gd011dXV1dXeGt533eu2dUznzZNl9/O0uOXVs4LqqkKf69u2Rkr2iMtl2FNwMi1hOf/yYSX7Gx2SH/sVe8gQP+ck0Ld2mMoS99maO/9r8cohRppQi2OJ/6ZSbF82e1RE895NWBHW/fnT8XIz442PI1Cr+dhk2txBEgWMUvR+WaUK3l51TGIaBLur/62Ybk4Hy/13HLXxk/5UzU/gfULGOtuVFf2CrM03rDBp7ynbJCX/084Trk4OJjwRc+F/euh8kHaUkVOaYoVRk9yVNgSjFNZnanR0pXeTw6FC+kreZY7ipFT9hEKFUyxupSgFIka5A3I6bmO9wpQSLrkHY8FArXg4zrYumyoH4uhCCZdegM6Hj45E6lFDFL5/BFMf6+Ycx3+FPgqdZ6znpSQhFTw3EVIVObJl8qRcDQCL3yhbnrG+Xv18ei1x3N5PX/oLxnXxQLljjLBcsWMK6neHBndbIzwFA8S2fAwBSVLMriLjJPRBZCELNMoqaRW5OKEiK760HK89Cl30+QK3E+jalJlnQGGUpkGqpDRyy9QMhWyicsF8NzfcX+zT+8gqVvP61uXnkUcjjyJbmIPX7ZYpZGxlVkHV/t2JCCLeOp0muKsKHKHne1dLqEHZOVhOhd8dL1kvejS7FPeAlGnQgYzcAaHS7Yw+JZt0AOBjjgkm83lXe+ze0pi4Mq+zdfhlautTMOwzvG2bhtnG/dv4W3PG8x8zqDuxF1pY022mijjTZ2H22CcBttPI0hBJga5IV5u6pZDMrQF7bosPyQzCHDKHg/9oWsEs9PIQQdlknMNIgGdcDfEKsFKSVWzY0sf8katnQChkYgt0juj1lsG0tBE5yxkKFhSFFQNa6FRMbB1CVDiSyTGYcHdyY4sD+MEKJg9N/X0B3SmRey6A6a7IxnSjbD5scsuizzKUkOBphKO3RHTPa+334O+0gx2mjjmYRk1m0bRsrQEzLqqk81i66gwWgiW1CbawYJ26EzNw9ohGZeW0AXLOkM0BPylx2u8hXJ8pgfNRlJ2jiuR/f8xiSRNtpohL6wwUuWdxM22kvdRvh/bz6x5Wt+fcXPeNOZbyVjT/cpkyXzbxctpyhczfGj8/zP0HHzDUDtPkTLZlly7FrEXQ+1XL5WsCc3j3vCxh6fZj4VNsfbeGojkXVZP+qHjx2IWkRNHV3KXIhhUTe07axjDj4wpVTFZnZNAqCgoKD533c+SviIA7kmlUAAySJ2RkgIQkLwxkiUl93ySMMyJB2XyAyUEWda643IwdUgBWyfbEy+LUerG6ytXld8fTNrjR/+7ihCYcWZNyqWbQazuCqKFdFQLDtuLZvLCLslePxRej9wNqLo3VvbthA+/dUoYPicdyPf+nYAFh+7tqCWWquYElhybOk9ZxqowJm/sGGaPHn5BUs60DXJSNJh60QaTQrWjfh2s4AmePGPv8SKu6eJl/nya57LcRd+GgVc8uVfQmdn3fs1837uP/4tABz6h0sr7pevCk/T2XjhFWj99RV4y+vOa8KBx9AEyazLcMLG0AQRU0cp1dAGWQxNgKXnQrof/kKmLv/j9MmcApwhoQEvpajcNdrBqkNmpHJ66XevK1xTiEAtSvOQEqwip848qSpoSMgp/eXPplM2yZtvrEsOLsZcET+cjRtnOcc9AKV4YPsE8ct/C/E4sde9As3JltaPFWDk6ushEgHHKxDOClnk/tWlQJaQ37QKpe8bP/Jllr771eie21L95++x6Uc/B2Djn/6Nd8XFrLj8+xVpJ/c7kA1f/RGdv/45Sy/93ozfdf6eO3/8c3oKz6HYMgMi1qKjX0yP7X97o8lp5f18O57KuAwlSse3DWe8j2X/vIFAyicX7m57VYBnO2zYvB5Db02BXSnFvdk03xgb3s1SPHXxVCMG57HzIx+d0XWZa68hc+zrSg9WeXCh/PGkO2DQaRkoAWOpbInaqC4FkZt8p5BmiXmLzz2LHTfUmf+UwdQk8zoshIClPSHGkzYbRhKF+Wb/X/7Q9P0BUj/+PuG3v7vifNZVmJoocY7LO75oolIceCRZSoyspnY7lqrjwBc2ahKENSmYSDtMZZKMpR3u3R4vOX/c/j2gYCSXv6XJirnEK1ZFWdwR4rrMMPm7OK6qyeYI6DLnwO1/CEopDCkwNVEgiefrA/zICbduLnUqEcDLV3URTSdrPnc16Okki2OhyuNSVvxOF9VZM/PYtONiVolIIgTVI6UwHcWumg3cj2BY/V5SSKKmJGbqPD6SQNcEadutWs6IqdeN+icEbJtM4y1aiWsF0DP1hanyt7jnrA/hJmy2TWYYSzks6wowWRRx15CwrDvIE8P+OxpPOZia8Msi/KgufWEDU5MkbJfBqSxRSyOZrZyrLohZbB6vr5i8uieIvWn9bpODAbTjT2A85ySQyLp0B3W6Qwa71m1uep6YR6M57mw4IeWx/mUncuHy4znvd1+ib2hLS3l7wMahOAct7eJ5+/ezYyjBDXdv4cyX7Yfr+X1Tez+sjTbaaKONvYH2rmkbbTzNUTzJtPT6cSvmRy06AqXGqP6whaijBrSkJ4iu7X48DCEEnWGz4lhf1GIi03iTKmm7JG3fA7ZWeELwDe121gPlcevmCTKuImxmGIiabB5LVRgM9jYE0BcK+ARrYHEsyJRtsyUXEqbDMp6y5GDwjQHprEvA3DeGI2sW2vLew1O3HbSxO9ibSm2z02FmXUVv2CDjzCxE29MRSdttqFiQR8jQCBkajvKYTDt4CjqDOroUTKYdXAUhvXmCcDzTPEG4WSyMTefnKcWLlnWSN9npUvHwrpwBTol2V/Z0xx6YZw0lbIaTWQb2coSCfWxKOWv49Mfez+vfck7dNK6n0KSoVFmLxxuSg4vPJV/4PML/ums3Slsfc9HddAUNMo6/FvFym3OeUowkbBbE2lEz9lW0h57dx+BUhkEyaMIP+bu8K0TGkegaoKrPQ1qp94Zp56DTFUI0PR8rRqy7m0+sG+TlX/0st/zoh6yzbVJK0SElqy2DQ3/0Kzr3f1ZTeSVtl4jRHGGoFWLhbEIIwd3bayuAzTZafdWW5hM16jnM/fB3awl0aLziL1XIwWXIt8Vywm4eoWuuoO9H9ZWw+n52Eck7b2Xh5k3IOunK77n4+KPYct2tRSd8FdtWvqXEBz7eMM1E2mEi42/ea8p3tN86UUoiOOq7/8OSB24tKV95eQHO/sSpXNyAJGxqEk344+bCDotlXUEe3plgtIycc//xbyFxyhkMXPg1Vtx5E5rrgBA4kSgjbzuX7S85noGIUVc929JERVjr/Ho0nnExNIGnIOt6hfDKAB0BvaD2bbuqQByKWBrxTP1oDHqOnOQqP+pCLVIRtEb8rqbR0BMyWNYVYGy/Z9H9+INN5aOAsZcfi8rFOlaUCC2WwNI0jlrSUfgtBKzsLg1Rnccf7tnOe679RlNlKOTXUuo9jz0zv1dsH0+zIBZkdV+EHRNBRv9+B0OpbInTTcH+XccGDj5BxS35JgTzIsGSNAt6I1z+3es49SNvIJgqJbPVLylsvvhaGPBJ+VII5OnnsPn06muFToDTziQ+NUTkN1dVJfk0Q75Jr1hFduEKRoqdWhavxAlH0BPxppTGx790AaagQJh0laqILriqJ8hQovR6TcIvLriG1336TDpHds5IWbCiTKY/zj/u2OxwHVbI5uwxWeCMu+6c4V2f2niqEoPzsLdsmdF1kQfuqSQIV2l4SuTmhEIWVH0zrle6Z7buMaLVL68KAUil6tqCdU340RdymN9poRDsnEij8BVrD1/SzfrhOJsvubxW8Wvjom8TfM97cTyFnVNpDegSTymyjiJkiILCv+NB2vYIGpKU7aFJnzS6fTJVQchtFBWiHF0Bk3nhAGln2llyOq8igaUqT7dlPM2K7uD0vLTKvSfTDrLTj7Y2mFN0zauv+hFe/fuI3L+GlEwWCQoZmihRaC2Gq6ggB0Nu7L+psa2mGPl0iRuuI/jK4wpOouDbQfJ/67LSGUs18eVmHQ+qdIeO59eBJqfLkPU8JMKP1lAla10KhFB4NYbMDWNJhpM2d26ZKJCyzzlsAVFLZ2c8XVDWtXRBT9Csu4c8mXH467ox/8c3ruUtHzoRM1NJxi3O4qETT+e+tcfCzulBp5xkbXuQyjm1REzJzni24LiXR1AXpByFLvxoJv1hg/WjpWPb4s4AyQZzh2VdAUKmZEnO8WZ352e/S0U5MvdiHh1KEM96jKYc3vTFd7WUT7GNUVU51irZuBjF78PWdC58/w+4ffMExx+4gC3HX0nk7ScRHB1qOp+3v+wTLOgN079yAC2R4q93b+NPd23hhOctpStqYXvTDnn5bqO47PW2/JWqVDZ+ClME2mijjTba2MPYNxhZbbTRxpxC5gztQlASRqUYYVOjK1CpRFsezrIcgxMZFnUHmSszrmVomE2GR+8JGaXGwXoQsLAjwJOjKTbk/msVLXPjjnwB3Pav5vPHr9XixaAQgqhhsLJbYySVQWvwfnYHeyoK8njSZsDU2Be2AgIzUGfadzD3QXbyoffaaGO2MZywGzp4PJPQbP/bGzaYyjgMJ/16szRBJKAzUhaq2tCaZ4wkWngHMxkmpBA543u+vxIc2F+pNjE7eCpuFT29safeyJ1bJ5lIOxy1uHOvOVLtqXnUnoZq8sFGk77CnqlJgoYknnHpffNxQAuzlVRr6jWtYi5e0VjKpjOok8g4Fd3u07RJtNFGCVzlh0PdMpFiXiRAQNfJ1NxBnb3+eS6+L203x48jPvY5jvjY5yrzlfD4cLwiFHI1yBp1FDAqz+TJDwJBzNILG/EKP2KHJgSpJu65t6BLQUCXuc1N/+kSWQdLl2SKyt3qW/GdwjUCuqxqL7rqxjcT6NAIpOHQexRGE1PhQhkGBwvEOACGhxuSg/Ob2KEH72vhKXLEnDJWw+Txryf2x+ZC3SsgawYgFGpIKIxnXe7eVof0nU7XJAeXl1mhOOsTp3LdJTchcuuAwxZESnaxg7pk/z5/PdAXshAoOgJaWd4KLac+Z3z5y4zhz7WS9vSzdANRS69rF7R0rYREk4ftKlzPo5gz1Bs2ULlzw4nqeSayLh0BnQWxALvimZJ794UMFnSEcFyFozymMg6GFFgxjbGUXVL2PFoRLZBVGE3dIYOoKZn89k8IH38UVgNFWIVPgph8/ydha/15V3/ExNLLVNVrlDeZtnnnJ96wW0SNZyI8T3HbhmGOXN6DlJK07fLkaIK04xHQJTMZ7Soc9qogrwT9ywv8/uR1n30rHUPbCuedzi60yQmE5/fFnpT85lM/5KUvPaSiPxGiiXXQh85j0zs/wsKTj0GPx0vK14hwO3X4kYx+8ZtVs912zY2FPMvzKM538NzzyBz2QnqLClrte6qG/Nzgt1/w1cyP+c4nWPRIpUNjK+3+7//1bXjf8QB8Nz7Blzt7CDSw96c9jzudLC9YvqyFOz318VQnBucRftGLmNiwoeXrUiecXHmwWkVUOVb+XS743H+1fH8AFY9DX6zquZCpETI1dE1iaD5xN+O4ZF0PpSDrOEghWNkXIf3d/23pvvlvqth5T6nS32lHoVQp9TRle4RNjdF0hq3j6arz71ZtRkFDw/UgYlU68RVnVS3X7VNZHtyZoCOgs7gzQLrKXGDjeIZnzfd46+ELuHPrBJ5SBdLrdPSAaZpkMFQqeGPXmUzMixgcsiDKvVWc+/qv+03N62pBAfFfXMnG576woGSv8ImssYCOQNAXNjFk66I81Rz7dClI2DYbx1I1VYIP6o+VkIQDhiRjezX7jDu2TnDH1onpPIBXrO4hZGh4ni/eND8SxPY8pIDNE2ksXWJpAkOTGFIWxlGAybTN4g6LLTnnuiu+8TsiO7fw+s+/3SfZF8Hum8e6n/6WO7dUkrZTZW0jYmkFh72wqVeQg2MBnWzOWd1R4Nge5W6EmvDXhfXmylFLYyLtYP7CH+d2V40373i2fSrLkyMpirdfjczMbH7X/OSvvOZtL8didndEFfCJ/7qCPh2uv2MzJ71wGU8+8AhD63Tu/sSPOeejryXfkqvdM/9271h8MM960XNRtkNMFwR6owRMjaSruOy+7bztiMWETb2hY2A18rCiukOhwLcztJWJ22ijjTbaaIQ2QbiNNp4ByBOEQXD4ki7+vXGMsKmRdTzs3GwyZGgzIlDYrsJ2PIwG6sR7AorpUIgN0ypVsciaa4S/92MSh65pOr0AuPAnlceFIKBrLOsI7RWFoNlGyvbYMpIkaGr0Rqsrj7TRGHO97jMkLOgOkUjbDMfbSq9tzL4xPmDINkG4CWgCogHfiDSWtEs2kTOuIlNl8zrregVVrEZkFMfz1S6rhdhro43ZwGELo9xVj3QyC3BcxfyotVejLEjRGsljNpGyvaL5/96D7Sps1yVlu3SHDDS7+RD0BTWat59B+EeXzUn5QrrGsq4gOyYzZOrFiGwRUghsz3dezDdBhU/6GEtn6LDMPdLHakKwf2/EV8rJrQVBlYQZrdxOadRoRMmma3E7y+9TCpFTBFJF15Ajl+dYKqVEkLJ7qpczqjMAAQAASURBVPwmkr/OREyXUhX+qF3CWhtE5YST4t+GFGQ9t+Rgo1qpRjhRRX/FApUbPrXyrFZeIXxVzVhAr5mulc2wjOuVEfynr2xUluIEzQZcSdkeG8aSdAcNwqaGpUl0qRXKIITA0gW94ebUcaXw07qeYiKn1tkVMHy1eOGvVUQNMk1RU6zyMmvXoqkJvCrukdXUwAxN4DQ5jfXJLc110OURnoCCElo1+F2ZYjxVOkcMGRpBU9YlCHcFjbrhlPOoVvLisM7H7d+DAB7emWDjeP2QusWYH7OImaUyYY7nIhBMpptXtKyGRNbFquF4PuVuwNAkh9znoVrsmhe/9fUlir6LzzkJaE4RuFjpqhXMP/O17Lj0WgDGzv0Yset+g1JeU4qZf/zIBbyoxftVwxv/5xygubILBFOm4qovnMjRH/bJh4msWzJHszRRUDLb4aaIWnpVZTMpvJy678zLbmiC7qCBpUt2TE2ruU2knQp7Yi1ScDGU8tdPpqaxMBYsIVwMxIKo3ECgC0lXwG/ftueStF1MXVQogElBIQRzI5S36EMXRomaEoHvDHDld6/j2C++i4HtPgmt2hiUmr+QoYuugCaUyg9qwamz571noTdol081NEO03V1kXZeekEnW8bAMwYM7Jgrr97mcOuplmd/w5Yt5/uIYXUEDAYymbIKGxnWPjZSkq1YfEmj0iVpvfi2LB7ejhMbkUS9l7DP/WzG2LTzlWIzJsemLTjsL6yMfY3So/niw5eob+fsDWznjvFPQPLekjOPLVjP5/ctrlrsaDE1gSIEu/RZg6ZLOgJ5T71Q8+PGv8fexJIYUGEO7eN3nz6mZVznyxKklRz2ncOwfmTTfn5rgnZEOgrJ6TmnPY51jc4FUfKjJez3VkScGu2rvr3FnA12f+R/GL7206T4y/8iBQw8lQGl/lHfILU5bTZ21/IhIJirSNIOuTY/B8gU1zgoMXTKeyOIpRdr2Kt5XIuMSCxpoc+BRbemVc2QpIOO4WFJnWVcIVymeGC599la718I6UCkOHojl/gZQZF2PmGUAism0U1jr5K+RhbWtAOHXQZ7oKYXvNDU4lWUkYbMwFqA3pDPYYB+mmn9DLZGotOPvia7q8cf08bSNpUm2TWZwu3tmNG67XT0AFTb9/HymM6DPiCActXS2TSbpDVuYUqJrgvsGJ+peo6r0EWnbI2BIlFIFJX5HKf61aYwHBivHlGNWdbO6J1xyzPEUAoHjKn7z8K6KawK6JGxqhAzJiu4gq3qCdAUNJtMOK7pDjM6PcuVFNyCFr+C7biTF8ft347iKddunmBcxCegSQ/NVkP1IFh5RS2Mqt/adFzGJZ/y2Um0tGTU1tpWpY2er2LkaCYNMZVxW94Y48trKfemZ4NbjfBXifC+1vCeEm3tJSjcgW6mu3AgDUYt8fK7Znh7tNy/KhpEk+y2M8dhtd3D3/es55qWHkhhO8MP/uYpzvvU+gmO7avpm3P6as3nsZW9gaGeciKXzxPYJ9huIctIx+zOasBkaS/GbBwY5/bBFDcvi29Gqn3Fcf/9GkwJN+urpjgcO/t6RLttE4TbaaKONNqqjTRBuo41nADThG+cU0BsO8KIV3YzFbUZTWcKWjuupmpsljSBFTplwDtGsuSBvyC9eONWCELCsK8j+vSE84N7tU0w2uGam5SrB846CO29tnC6H8POPKvktBdiehxCQdBTxrIMhZWFzJaTLmhuj+zIcD6bSLprI0BUx2VsaI08DG+OcIGRIemMWUkA0aJB1fCNXG220sedh6pKJlNNSf5WyvYKRPGxqJLNu3etVk5Sjtp2pjZlgfrS5kKm7g4zr8dDOOCu65kqdujE0KcrC+e45JG3XNwTPwe17eue1fI2nfJJNmBn0G3dXKnLNFnSpoUsNU7dnlSCcze3E1VJlifUZ7IkeVAiBLnwqY6ukt2YRMARpe27aedp1WT85s43rRqi2XtwZb57A3gjFZMndQV/YpD9sNU7YBLZMJmdl/h5sMuJKXtFpKJFlKOGvYyOWzmTaIWxqRCwdz6utylkLAUNy47oxNCl47Zo+pBAMJTM5Jbn633FXUGesKvFu+l0VEwRtFx7Z1RwxdVV3CEtvzsQqJU21DyEqVYyDhq+g2gjluSdtl5BZe2PekILx9MycQF1P8crV3fzhUZ84tro7jBDQH7a48r4ddRSkS5F1PDzDK4lipUutSkji1tEbNphIO/SGTUKGJGm7ZF3FYzsfQrf83dMVG8Fs8RMRZYq+skVHmJk8i7FrsOT3xl/dyJKTX1ZQJKvmSABw49s+xcTiVU3doxFnJzw52lQ+eVgIjj4kwe++8gJO/Hj9qFpZV1UdP5sVA2iEzoBBh2WQsJ0SgjBQVcWvGZia5L4dEwTL1HUfGJwkoEtWdkcKxzzlkXLcpsj41dAdMvCU7+zznAURPE8xknTYMpEhZXsMJ2y2jKcL7/36T32f5WHBfn++hv4rfkB5LxDcsY15p5/I4K/+wqqeYNGZ6RaayjhkbI8HN49XtNmlvWFiofzc3u+FPVfRv239jJ7vmQylFA/umOSOLZM83/WQQNrxyUHgqyYaecJozjFGSr0oLg90Bg1MLa/g6OsGTmbsQoJa08GFHSYhq8PnqgmfuNYV1MlbBjqDOoYmeM0BPSXXaULQESgd++aFp500i4ew9FQc76Vry8rgErv1ZmLHrsUNhJj40y2FM+KGm+kKW7n0fntM3nwTy97/norya29/D5H3vh8EJG0H8exFbL3uVt+qoaAjqJN1PYQQhPJ1vTPJgzsTqFzd9oYN5kfNgjKfUorOgM7ipR2F+1i65PrHK/u/l+7X6z/z6l62XH87S49d29Cikv+Wpk4+DUMKhBAFJ6orknGedBzeFYmxwjAKDj8KcFBcmZjissQUj89AgfaphnLF4D1tg5q65RaGLrkEc+UqOt9/LpFIpPFFdTCSyHL9Azv4xZ1b+SICWaHvWRuO1EjZbgUBNhbQazqO1YM9fyH6usdavm78WYdTzSIQMCSWIRmazNQtT8bx2D7WeiTPRrB0UXFfQ/Od5/JEWU1IJIoD+iKkHRfbU2ybaN6ZrRyVJgSBIbWCQqqnfAeL+uWWvHRFJ+SccLuDOh0Bi7ChMZqwiQXMqgTh6Pe/Sccfr0G4Ll5XJ/zgKihqn6YmcbzK9zCSsHlsaFq1VQD794VY1RNk9Jz3Eb75Ly1/Z5PnVPbLxahKpGxiErwx104UsLgjiCYEsYBed00brrHeSdu+01LCdvjbk6NsHKv+3s85bCFho/aaSZOCmKVV7CPnx+uM4+XcowU9IZ39en2i8CoC9IU1Hh1O4XgemvAdYNOOx0iy9Hk6AzrjRc+oCf8714peTEdAZ6hsHT1VJUJGMlvaBlwFyzusCvXhciildjsKRN4JZv0JZwHTxOTByUyh/jKnvo+XX3ZBS3kCdJ7/SdjN8lVDKhjh3i0TPHtRjIlkjMVdq+jsn4fZ1YuuFFt3TvKPb11JT8TisN/+FPeKS8B1cU2LP3ziu9w0FuCQRR0EpeDAgSj3bxtncVeYB7ZMEM/YPGthB4lUlt//Zyuv3K+P/ujMbD1P7Irz2FAcgU84V/jf/NLuMCFTw1UCz/X7wCYDJLTRRhtttPEMQpsg3EYbzwD46kO+yoYCOoIWUcugK20wmnBqu8k3gc6Qsc+5ovmE5UaGfUHehqkBq3pD9UMozhLCP/gJiVNOgnWPNk579yMVx6QQPFpHLcGQgpXdYbQaKgP7OsZTDp6CnujeIwm3UYnOsFnSpnoiJhnHKwn12kYbu4ungwrInkDI0GZk/M8jkXUJ6LKukrDrqaYUAve1Vzbw1jdibd9ccszq6GLbL6/fSyVqY2+i0UZMG7B05So2rV/X0jX/uH8PEz72QEczm0uZ3rDRkPDoKVWyufNUxlP1Mfa18WtPYG+/K09R2MxNZF0SWV9ZvFVYmuTAvjAI6Iv4RLnBqcxef75m21TQkLhKcWB/FNdTPDY8vba3dMnSriCugomUzXjKLmww58+nndrhcRthKm3TFdRz6zrFWNKmM2iQcfzQy1lX4Xh+CGhXKYKGhuMqJqtsNpdDKT9CAMCTY0m6gzp/XT9WN8RxOXbGs+yMZ1kYCxAxdfRZtGmkbX8jPqj7W92e8jdLH3ni4kIao0Vnh3yb6wzqPskhmSw5PpeQAmKWTtQycKIWD/3mXwTO/yyr/v2XirTxxSu4+3PfxAh2cETYJGVPRxLLl1cv2zk2NMHyLp8sOp1Slaj+tvKcwoO+hODgN8a47hsncfR3/tbC1T6atT1o0ieP5AterqIYNnUQkLDdAvEyf53yFFErR7hs5gFz6r8iR9asptAds0q3XqayDlsbkJFqkcctXTCVcUq+Kyl8AsrCmEnWVdy9LYMm/NDSeYyOTDH/ih+U5F/0CFjxSZYeu5Y73/lZ4s8pFSkAmBhPsm5ndTvkSw7oI17mhdTz8F2sZO+PO8WYuuUWoi9+8W7lMbdzB8VDOya4ffMYCI3fPTzEVMblZSu7CqTRcoXdiKlVqDV2h8xpEnEOG6aSDfvijoDuqwgXvbRyh5qI5ZMTG9ltFkQDJY4eAIl16+CUE2qSjRSgpZN0HX04m6+/HYCgrpEtNGRVNyKf+6MLmfjRhXDLnYQjEayco1b+W9akIJUu/T41KQrkKksTBA2NHVOlTh69YZOopREyNBB1+qGyhxr++R/oPe01NZXi88fjzzkc970fgYzDR/7vJ3z9Q28tpLktm+a20TTLNJ39DBMD2OW53JXNFNyhli1bVrNOnuooJwbvaTy43/6QmibQJfkL4xddBEDnu9/Nok98vOm8PM/D9XzV1l/9ZzODCZsXHjSPSz9zMWd//qymyeSXn38Vx+1OZZRdu+u7l7L02LUtX14+ZwBY1BVACN+W2IwjW9ZVcNDB8NADLd2/Xj1lHFUS3cbURVEfMg0hBBqCcE5Rlpg/720Js+iNXegXc46942kXjyyDcbfwTCFDI2BIRpM2C97yaoyR4ZI85MgIS08+BgVs/u6l9D7nWVUjMRRuWARLF2RcRdp2GY72sqh6sqrIE0C7VyyuawOpVlNS+MrsTo1BpSOgMz8awNKk3w8ov90s7wxx3+BkzXvFsy6D8RQLYkGUNz1PG03Z3PD4MMN1nM3WLu4gYmgN32zU0isIwq9a3U3W9egKGmQcl2TuO8i6HuNpB5Vz29kyniFqaRiaLEShsDRR4lBZ3h5d5X9bK7qDdAZ0HhlKsn0iTdTS0ITA1AW6lLieRyR3LGbpJGw35zykowsYjWeQQpBM28wPG34EnJL6FwgUruuRSrSu6luMgqPa53/Gkq4AyayL4yl6QgYBXaJLf5UbP/p4uOyClhxAXODAu29pmG4muPpLP4fNE0QsjVcdPMAd63TM/ghb//ZP3px4hN41K3hktJff3bWdhae/myePO4vNo0lSQmJKYGwXUxkb2/OjNzuuwjQkQ/EsCzoCTCWyCGDnVIbv/W0dnzvxoKbKVd7jrO6P4CqFrglWdIeR0ncI+NeTIwQNyeFLuv3IZq7PC9nH6BtttNFGG23sZbQJwm208QxBniTseP6iQkpJR8giFjTZOZGeMdloNGHTEZpLFSx/IWzlFg5GzghhewrHUzhuUagi4atpjCVtpJgO/VlrAjydRjGecuiPmOi5kBwid11eqUDmDIqupwobZmbZzn7BbKmKj6npkIG545GrfoOC2sbNn15J+JBDqp5ylaI/YrKrhsKV7SmGkhnmhQN7Naz2TKFJ6ArvGVW1apiD6FZPT+SUrNtoYzZRyyjYRilmo2vXGriPZ12voDxUtyz7yLZv9Htfo/v3vyr8zpdKAfrEGEuPXUvi4EMZ/tpFe6V8bewdRC2dibRdNTz7nsDe/jpEhQm5En/6x70cuKB5FSStGc+B2YbZmuL0v/95M2879USUKp2ndHR289c7HyEUCpVsPjS7EVFOpqmG7lB9crAmBHnOhiZrr1WabjuiWvrKkmaqbIw+49Gukn0CM+knNSF45eoeHM8n5LkKVvWEWT8yO2rTSs1M2dVTilBOLqzk2lxmAl/J23VVjrQk0DXoDRkkbY+k7aJyymHzIgFs16MnaCCEJKD7yoK74yAGkHEVmTLC10TKxtS1EgXtrqBOPOUr1PVUIXFXWzMnbZdYjmyZyDp4SrF9sv7Gci17xbbJNPv3Tof1FWVvo9r9t01mp1XGVHHfmq9rQSrrcviiaEk9FotqTcQEHqrl0PD58Mmse5LOJq/dHSipcdC8GMXL8SMWGzzx+S+xU34Fx3VxszYY0+9uadH1G8bSPDk6TXqKmBrPWxQtuYfjKTbUUfd7yQzLLg1B59KRyhNNdAZ2k0r/rlc/2tH9VUglzTj3NEJPyCgoH5ua8BW7FXgoko6NliNMVgsJXQ5T80nsBXJzzqaYdVTVtaAUgmjAYCSR5dCFESbSLndvzwkgpNOc9OE3ANWruXg+dPIPPsfFn7kEBgZK0+TVYIH+mMXOBt/2kdf8qOEz7mlsesvpPGvL5sYJ9xKGExk2j6cJmQY7prKF0NuP7Erw7IFw01EJqjWvpua5TSSKZ1wMTeA1KEvG9VC46EJO2xROOaFuWYqPLz7+KLZcVxp5rx45uAQvfh7c/UiuzZY6QpRjQ1E/aOqSnVOV7TpvoxpL2dyzI868SPV1SYVdZGCAiy+8gVM+ejKh5FTFnEIBv3/fl3nea19ORBP0hgyOOuY4zECIbDpZknaj67DRrezT/vrXv1Yty1Mde5sYHB8cZOPzjqibZvyii5i85hoOvOs/NdN4ShHP2EylHZTn70FJIXjZ/vO45uGd7ErYMDDAhs98leWf/1hVMnnx8//qY9+DSKR6nTRZUdWS1SKx14IbCiPLOowl3UHStsuuqdaisYQvu6r5b7twsyU1TxmaH/0DKh0qakEIQWfAZCq7bzmXF89jPOXPs5O2y+Ljj0TmJoC13tnS953J5vO+iHrpK6qeV2UDRdpRhf4wYGg8cehL2O/uvzdd1uTRr2zoxFVtbJJCsLgjyNaJFK5SeKqSFAzT6s95OB4s6Qyyebz2PHUkaTOStOkIaPSGLG5cP8qGGorBxbh9ywSbxlO8ev8+gnql7WsyY7NxPE3IkMyPmkxlXGIBjTV9YYKGJKBLxlI2AV1y7444XUGdQ+ZHcnWuMDWJJqA/YrJ+JEU862Lpgpet7CJhe4UIt1MZF12WPntnUCfjeKQcbzoSkuP/u7w7WDKmASzugC0T0+Najyn58wOlUUhW9IZ4crh0zDElPPnYIOfe/rOG9VUL+TXSp9/6LVb1LoCyul/ZE2RwKlNQx9++/EAWbHi4qXyBimgYswGFTzzWPMXU9jEuf3Q7z1newwd+/CH67CJRscf/yQHXXsrrgMc3n83UG86iIxZgaVBnw0iKVX1hAoZECkFXyGDVswZIu4qjOwIMDce54dYnOeb5K9h/IMJE0mZoKk1fNNBU+UohOGBelETWLczTdSk5bHEnN68b5pZ1Q7xkVR8IgZ2zmzwFqQJttNFGG23MEUT5hHAucfjhh6v//Kf2wqmNNtqYe+QNLa5HweN8LJHmsV1xnxArBII8QVYUvO3rzR8NTWLpvhKOT6BVaJpAE/6xiZSNXSDyKvbrjRSMnT6Eb1zI3UcpcD2vYgE4Ewx0WATN3feFUEoxmbIZrbFpUOyhvDsQxf+K6X91KQqLBVcpsjnlINv1GEtkpy9SCoQgqMnC+9seT+F50+9TSr++BT45If933n6ar3alphViapEnCtcVrqGQvuR5CgSGfH7TleXlNjssXdJhGVi6rFj0ZB2Pu7ZP+qpGubbkqvxy089ZCl/pRheyZFdXFD1jNeTJ37qUxDM2tqvoj1RuhJYb6co3jut9IyV1BH7YvtxFhTpT+d+qkC7/R/H9Cn8rVVLPAV0ihPTrtuQ9KIoOlaDasarvOWfIBP99econ6OeJ7/nnKybC+3/mCPJV7l/cNp63pKug5FO1cpso9zMVSvlhPPOKAyWqTqI8be5fitpPbtNyuh2qpp0LmplDDicybMlvLheNJcXkC5FjTEiZ3zCt0RDy7ajocMVGS9GHoyqOTbfR4q+s9FhpOy7flC3Jp5B/GWmBGlB1fyLwQ1/mDauV39M0/NDIpekUCkuXTalrLYgFCBt6rvwNk9fchLA9r0T5bm8g+v1v0v3bK4Ha/XC+/PHnHM7I/35vj5SrjdoIm1ohDPlcQgAnruljcUewYdq5wPrReF2l7rnGcwY6mnK8uPbqn/PxD7yjqTwf3l76vT+0q7ZySzUsOXZtTeWwalDA1kuuhYH50457uX9jOdWW/FwD4LQjV5NK1O+Tjj7pzbzns5UhDHtDBv3hQOG+0/OU+qUtmbfl5uHFs11RWOCU5mXmlM3mCo2U4mcLzW6+zgQZ12XdLJE+y1FNdW82Ua4CNFP0hc1Cu9xdbJ1MMlGHNNcsQoZG0p6duism1LWC7qDBoliQ4irelUgzlKhPTOgK6oynnKbWElFLm958bQIru0ME9NbsDromcFxF0nHYPpmqIPMv7woS1PUZOf4+MjTZtH2iJ2QwmXEIGRpS+KSEfN0GdEnQlNPkJwWe8hhP16+bgCH502OVYdiL0R8xOag/VPXcmr5oYf2plOLR4anC81T7fksIkfXKpQuOWdldaMM7Jh7jz/eegxCCpZs83nSVh9Vkk1RA6ogj2fX5bxaOLc2Nc82ilp2lXvqd37+cwAFrWNwRyoWNlSSyLinHZeNYsmEeWyYyJWGFw6bGEWUE4bTjcdvm2mP82e95FbRQ9owJvzxZsnGZxM16dOw4idef8bHC+a6gwVgTkR/qKc3lMZN+ZSbXvPc1z2do21YA+hct5cob72gqj6AhsTRZEjq6FfSGDbj6SkLf/lpJ/dudPWz/xXVkXcUTI0l25cKRn/6eV6HTmhLgJRfeUHJ87eIYhvDtj4u7Aty2fozf3bsDgKPX9KMHDESOjC8EvPjDbyY6snOvO8uVI/jiF7PyistndO1MHEeahacU/944guMqtkxkEMJf7+eVgOdFLYbiabqCBm6RHcfSJZqUJev57qCBqZW6OWyaSJZ8N66nCmG+8+jLRQkzpMipgE7bucdSNpYusV2PzqBRKHN+bqtJP4S5rglMTTCetHFy9p6lXUH49Mfgz81H9FEA/74fQxOETZ2J00+BB5pXGUXT4NZ7ig4IXOVVPPOjuxI5W5ovRpJxPaayLpYmEQI8TxGxdHrDBkHdJ/s8vCtR4mCRx4lretHktO1TKeWPowoe2pVgMu0QefAuppbtj4pE8BTMj5is6A7geIr9esIIKUnZLmv3m4+Trt+XX3HFFZx22mnN18k+jlZIwbP5LVbL68HFtQmo5Qg873BW/frXgP9dZV2XeMZhy1iy4CS1KBagI+ATy4OGIGUrtk2m+c3DuwA4ekUnAAtPPgY9XrmOtTt72H7ldYWNhN6wWaEMa2qyJDJAfm4RNjUWRKdtIZW2P0X8nrtwzzm94bPmL911xe9hYICwqZPMqZPmbdFRS8PxFJniaBfFdugS27OvSm6+4oVoqUTT40XHvY+WvDgpKdtjLHaUFjkbgq/cWvf5CgZYUbJnVbW9KXL26+L7VSLrumwYS1bsm+X7iPwd88e6gwajyWzNvaaBN/htpFFd5a8fvqk6DyNnsihxWDI1SbbIEavn+BehZdIVZSi/h2sFkTf/m65gaSRQn9xafZabsO0yJ0KFLgVLOsNNC/doEh4Zmqqpjh8xNSxdlszLwqbG5vEM9w82Z8Ne2hnglat7sXJjasp2+eld2yraw8tWdjGVcXhiOMXSrgDzowa7Eg53b5vi4IEw/WF/XJYCxlIumib4z9ZJUrbH0cs7C1VUvL5R+CJQadsnA09lHPoiJj1Bna0TGZ4YKR2HekKGHy0wR1I2NcngVKbE3jQ8HGfTyPTYErF04lWixCwJa/zl9k3ccOPHW7Ld5ZGfS77/A5exsi9MZ/e006cmYP++MA/vqrTxnPqRNxBM+e+mFXvhbM018zX1x6NO4cYDX46bSPKtKz9YOF9+n8I+Q998HvjWz9k4OMXO0TjbUoq046FJweKuID0RE9tTdIZNOkImy3qCeI7LT/65ibTtsbwnxGdPOJBlRc6x5Whl3FNK8ceHfSL4oo4AhyzqBASa8J0o2mijjTbaeOZACHGXUurwaufaCsJttPEMgxD+ZFwKyO93TWbcuuFVZhu2qygV/8gvHWYfo4ksC3eTIJzMOozGs3VDsmlSoCnF7u6PVyOoofzJvaH7C1ID36MXIGO7TBWrAOVWK345/AxsRzGyj4fZXhALEDF04hmXeJWN2KmMw1+emHsyEfibwYcvjDZOuI+hPLTRUwm6VuTGWsKSr459baNpb0II0bTKVUkV7yG3YUNzZkT8eKbCdhVJ26swcJfD1ETFBhf4IXPH7cabzetHkuzXG6kIP9oqykP27g00Igfnzykgct9/cAI6k+n65KDZcvppY+8ibGpEZsFJbKbY62NVkwV47RtPo69/gP/35hNrptENg/s3je12kUbfeDo9VzdHzMivDtx5AxWeRpbub4IWb2Kd+cIDGpKDAf72myvp7p3Hm977sZLjimkCbyvvruSakrG1bKtwrzeIpx7mcqrS7uJnjr059ocM35E05ZRuuHvKJzt15gjA5fAVnTSfmNDEfQK6bDgXmw04OftCSNdZ1R1FSnigSN10w1iKNX3RGXUfzZa+WDl1oopCYdrxKpwNOgL1x1ZTEzXJEs2ipDcVgr6wxc64TyYIGHLGBP90mQLr/I79cTIehinZtESQCtIUQThfv94F34MyJ/KZkH5bIW+ml60mnXYImhm6LBMhPEKGrIhw1SyqKdqauq9oWctOmIh1YyZHMZvkuGZN2Lg053DsKv71j4tLCMLN9vdz9V02navn8aZDF1He+nZu2cDL9vNVuq6+Z1vdLFK5tV6rTggADA4SOvu1FSYTBRjjIyw9di3j3f3864uXFS5pZSZc7TW8/wVLCRiSrOOxeSyBQhANmTx3SSf3bB7HU4rRsnby+CEv4bAbr2rhztOYTbJHOVK33MKWSy9j8ZlnzNEdZobJVLZQhwNRg5TtcVB/lOKamBcxGU1l2TI+rcLXFzLoDZUq2lZz3MrYHokix57OYGWrcDyvRLEyYmqkHY+V3SEGIhaPDcXpakSkz50yNQGuP95uHEux5M/Xt0QyEgCvehH6Tbdy345JlubIwU23C9clbJSKPmRchy3JUgXDgYhJcU05nuLRoVJi7qIOiweKyGTLuqo7bU1VIVnlETY1pBC4h69lbCwNuXnKcau7GU1myXtB6gKCusb9T+7itr/9mXeedQqOU5rvc55zCPfee0+12zwl4Udo9Anp+8LcfN3rX99S+vSd/2HXVBoUbJ1IknW9CjV6WRS9K2VPb/Qs7fTb0kTaJ/5t+9WNhXS9YYNk1i2IAvjIjaGKsuO+80b5fpTAd6qpt5cFEHjOYSTe/QG46FuNHxjof8sJxJ+7luw3LqxCVBaMJG0ipkYgN2d3PVUox2TaReHPsw/oizCWstn0m5tYfOxaJE184//3vQonIQOoDDBQsruGxBfGaA6l6WrZBt2iR/eJ35Ubgq6iJYddN+9YUAPVCOTVkLd/dpxyHNsv/0PVNOXOxJ6nSpxbt177dxaccSLG0M6aNZftH2DHpdfS7+RFnqZTGprMvavKqwWiwtlUEzCVsQkZeoVCdTW4HhzQFy1ZN4HvcOYpxUTaqVgrJLIuPSGd4/brZiTpcP/gFOk6kZY2jaf50Z1b2a83xDEre3h8JFG1LjaMpgrqxOM74kxlggVHkrWLOgkbGh7wnds20xPU6QgYzI+aaJ4qafTxrFsil2JKgWlpxCyN3nC40LdMlT2XyF2bqbJmm64XHTuo84KV3ViGxNJ9Mv+uyTRuLkpv/t+xnRP84cZPzogcnIeDYEVviL6olZ8asPKm3/LCX12EAIo12rOhCPde+if++aM/8OzzP8q8B/9TkyRfjtmcL+br/tW3XkVgxVJeduXX6t4jfzwytIP9v/QRht72WTrCFlldYbseH/rq2YQy03OKrNS56/u/YXFnF47rceiSTm5dP8qGkSQf/OV9/Pisw+iNWDXL1QrCpoanYDCeYftEmgUdvmO19HxyfRtttNFGG220CcJttPEMRfHEMpl19pjK1OKOYJWF+9wh6yjiaZvIDMNLK6WYTNoNDSq2qzC0udOUqBUOPpltvCMTCxr7LEG4P2wyPxbEcVWbjNVGG09D1Oi62qiBibRDb9hkuIECXq3ustnQuwBJ26HDqh4is3ns3RfcccEXmi5FfoQOvem1xC/9tU9uUTBaND72hg1Gkzae8v8eSdj7xEZVGxAZ3MLrv/B2ZBGJxQN+/eELiK96VtVrDE3sZePnU6cDPOolL+Ph7XEGBwc59vkHks1mEUKwbNVq/vj3u2ftPvG3nUvX1Zc33ADMv+UdX/52xblYQM+RoAQdAZ2JtMPQ5s2k4s2rGV/zo29WEIT39Dz06dK3zCVZ9KnzBc0d9sV2sjffixCiiIxQOucRwHjKIWr5ilFTGV8FUEr/eCtK165ShExfc3O21JLBnxf7qoTV3+2ueGV48xnXdxONJ2ppjM3AkU8KSsio1RSVQqbk2P26a5ZN4RN9J2uoqFaSBKcfaHcD4ZX392GxhKzYCkLwq9drnHmFi1mnWvL68ImDD60gArnhKFqisZKxn8/0czYiReaLvP0jnykcG0/Z6MKPhLRxPEPMas7EPxC1MDQ/BPLgVJa07XH/YKmSl8D/wrqDeoG9a2qCwVz48Kv/52ec+IXX0jUOssH7yBrwzyNFCQtYSY91I6nCc/Xlv9EqlVAgwwpY3ROsyiZupg53F/adt3Ha299QP5FSvPGQBVxx2xNEwhG/qILp6GzkfZ4UWsVz+LUhEHjxOIvfdBzSmV4Tbn/3R1l40ddzaUpRTBTuHN3Fyee9mV+dfyUL7r21avpGeM1nz+EPn/sZ4JNtklmHOzaPEbM0Mo7i0ZEUesjkiAP6mdcdID5SSrzccMIZHHbjVTN+J/l2MRfvc+KTn5wRQXjuxmPFAzsaz2FtR1WqZ8+0gqo8jFClmXUEDPaPWiRtl03jKTyanytXa58tF3Viom6ejZA478OEz/+/umnyUfSmf1fepZyolnE8cvxnnrfIV7r31Z6pKRgykvT7Win8sOoCwf69QXpDFgPRAJ7y2BnPMpG2OXBejK6gwQknvIbTyuz4xX3IUz1MeJ4YvBeD7VRF+s7WIt8q4PELvsGC976PRMbF1CuNDxnXRdigCZGLhOiT0TflyP6bxv3xNWbpOYdTWNMfppbPT7aKzc/UNewi0qAUcPBALBfls/FzhN/+LhJvPh1e/LyaaYrHmcg9tzP5jfPh3R8tSZN/vnjWrenI1RHQ/T02AZvGfRLllutvZ+Gpx2JM1HFIvur3hFetavwwtQo/w068GfEA2/MwtEoytiZgaWeQrOcV2Wr9wrgeFZET6tlze/77vYWrm4UxPMSCt7wagMnj30D8LW8tnNPLjPXVIt9sv+x3APR/5oME7ritcDx++JGMfvGbhd/V2mQ9VNvj9PDbg6kJlnaFMGVjqVPP8+e0u+IZukIGqazbVDSKjOvx5GgK1/P75LGkU2IXLsfjw0meHE1WqPPnIYRgRXeQ4USWyYzLk6Mp9u8Nsbo3RNDwoyVOpBwEsGZemA0jKbYOx1kzr1ScyNAEibTDRMomnnawNMmBi2LYbqkjVrmjjgK6QwY7JivXkXn0hAzGwgFWzvMVjQGuv28HD5ZFX+kOGdzx6E5MvN2ag+konhxOYruKxT0hTj331cjCPLe07GYyzhEnv4gHX3UKf3rPl5ACOu+4hRN/9qU9bnfIdxXHXF6fHFyOnofu5uVHLOOq+wf50AdOwLCn5+/5PE3P4ch3nIAnBDv/eCuHLOnk3i0TJLMuYUPwj59dzQutJFo0SuwVr0Dv7Z1R16WgJGLfPzZM8IVj90MKgdMmCLfRRhtttJFDmyDcRhvPUBRPcEOmTsCQhE2N0eTckGGk7xBPd8gsKOXsKRgznPkqpRiJZ5veTLRdRcCQpGcxzK4Q0B+1sGrEAGnGQLs31fMaYSAa2OPtoRGa8VRuo402mkP7a2odEym7qgJeV9BASr9OpRAQj7OoaONYSY3UxVdC/9KG9+iLmAT1vRtb6m+/u5oLP/OBiuOLVx3A//3qpqby6PhLdTWMejAHt+J60wbW7pCBFP4YXkzyGE7YmJogUkS2KN4UgWmCikIhhWAybe9zm1xPB5z5nmOrGpMlcPL/fQSFHwpZ4BO7l3eHWBwLMBAxZxSWffawl+c3M7j9wMAA926sHxJ+d7Hl+tsLKkFQuUGQx653fxh1+NpyDmAFmUwA73/9i1oux5+u/CnHvfmtjRPOGea4feyhpi92Z8e1idznCrtLMHwqYjZrszfcivNt+ehZiZAhCZkajXbwlaJqBIViTGVcEhkXQxdM1lH0q4f8RmxQl0QtjXjG3e1WLoAHdvoksOXdISxNluQZ0CWeN3uTiGbKa2qSKdU6AdpVlISsrQahfCJV/ftXb5WWLuu217Q9TdCaCa57bIRXH9BTIJu/6RVX8YPfryUU1di+QHD5mzXefJWL9MAq8tlTgCdBeoL0ouUMf+2iiry3XvY7lr7+6OYJv58+n66rryD06ANVryl+xJEz3onzilcXfqdsjy0T08TMRt9GHocvjOG48ORYkuseG0ZRSTaohkUdRapWgQBXnCr5fxd7WBnQaryLrAHrVgjuPLzIJicEnmuwZWKayGBogg2j6So5lGJepLFzY3/E9Pso5RshU7bbsG4a9Y/m44/wxkbk4CK85cjV/Pq+7UXiCKUVpJTijq3xCuVd4nHO+tgbqpanFjm4GPkeNDI5SmRwC8tv/UvTZS5G5/BgIb/P/3UdQUNy1qELMaTgr+t90sF0aPVKe6sVNMkIDWsG/UvxiDFXROEH1xzIsx55eJZznQkU64biTBTNbas9q6cUmyeSFe24qlJ7tUPNetMWIWrpOJ7ikV3xWknmDCV94YP3ziyT228t+VmtriqJzIqOgE7QkCzrDBIL+AqLo6kshpQctbSjQHZWlPa5UUsn66qCA4AuRWGM6gkZBHRJ0vZYP5IioAtWdlsMpzIs7QiRdhXDiSw9YZOFncGq69fi2ZGnqEke3dehcqTgfWwbYLcQ/en32XX220m7LpYh6Q0bKOW/J08pJtMOO+1swbEVIFi2x5N1VYlivzWaYnFngECVF+3lOt+QIQtKwuWpfAKmwNAE2TKFVEFpn1DoZ3/9i6bmjvm2GLv2asbKCMLNRI/I18GTIwlChlZwxNv2y+s5sC9C8kv/A3+41pfo7eyE31xPOBIpXJ9yHHZMpVncEULPe+HMIWr1yX70BYVCYHuKiKnnxcD96wRoSDo1jZ3xdIVDWW/YoCdslOQvEDUjC4Tuu6vlcivAGBkGoOeyH9Bz2Q9wop1M/O6vpKrMi0xNVJ3fu1//HklBFVVrHynbmSYcC78Htz0PXZsOBJXvG1GQcSrvrRTo0v8WhhIZFkZDDZ9RCugM6CRtF4FA1yTCbqwVHdC1wve2fsQnqS/pDOB6im01SLbPnh/lvu2VDoCreoKszzm8GVKwqifIlvE026cyGJqgIyB5cixTWEumMy6/+89WOoI6vWGTXVNp0rbHfzaOVew/BwzJot5Qyd6vJgX9EdN3uBcCKfz9gZApCRn+fEwAWdslY3tIKRBiWsn6oZ0J1mmCA/pCPL6zUpF6WXeQj9x2foMabA4LOgJ0hw1OPff4mgIBxXO+Z91wFUPdAxivO5kjf/alWSnDTNCqdSuf/okv/S9n3vALpFdJri6xYyvF0uOP5KMfvpyFluIlv/0uh66/E+F57Myl2c5/Y65axcKvfJnw85/fUvmlgAP6w5x12ELO/9uTTKQd1g8nWN0X8deyqi3m00YbbbTRRpsg3EYbzwjkDRNAYbEqxLQXrKXLAhGpOMTkbKAnaBC2/PApnsdeIYNOpGz6axBsy5HOukylbbKu55e3RTmx2ZpfSwE9EZOQ1VxonXpQClZ2h1g/mmyceA9jOJmlK7C7Cpazi/YaqY022tibsD3FeGpaSbgn5JNwPBQjCQficZacfAzlNGDhuYTPPIUQsPlHP4fFK2veQxcCU5sNgvDMxvQ3HrKg5rkt6x7ljYcs4L++cTFHHP3Kuvm0uh1QzdBXsTFfhKxbGTK3HnpyqsOzgXWP3M/HTzuuKottwdLVfOvav8/KffZ1nPWeV9V8z6IsnfOv++kKzixixFxg75KT2acnNFuuv53gtb+k76JKZS+7u4ftP78OaM5YoQDHaf27+9lXP11CEJ5LJdxqmPu7PY123ucAc/6+98Xvb5bKpGDW7AW9YQNNCtKOV3XDeabwgEydkLHNIuV44PhhOhd3BNEQpX170Z+mJipsB8WCWgpY0x/hkV1xNlRZl3eHjJbmHLOBmSunN3FhE+2tVi5LO0MVY2hx2oTt0hnQGS92GGmxfY8mbQJFSn/vPOF2fvi7IwlFYGc/XPB+yZrHYO0dHl0TOcKaglAK/vKJb7Dfi4+qnnEoxKYLfsjSj7yjJrkxf3zshDfivOBohl5wNDx4L4s/+s4qVEs/TG/mH3cTbxBhpFUsjgXoj5jsijeXb/m0ZqxT8MO3aZz0O5cFO0B4oOfafMbwn/v25wn+9hJZcrHnKI562yWz9BSVcD1VQngWMF2v9RjYdbDzQ+e0XI6H77mD/Q85ouo5IURVcvDZH/NJyLvTXefXO6//wtvZ+do3w4O3NrqkAm5unSilIGpqxLMOhhQoBRNpO0dMyaeurMQHHt/J38/5Hl//6btm+hhz6n5Ek2Ha82imLO971zu55JKf4nkegUCA2++6j1V11S4VG0YSbBpL0hMyWBgLFjldCWzPZdtkKpfSV+aMWTp2EfHE0mfWUhxPMTiVLbxDKQR9IZP9e8N+GYQ/7m0aS5VcJwT0hoyC9G7G8QgZWoF45CkwdUE8PTtjmVBAR7RhunIowNF1BuOpwoGBaIAD+iKgKKi0jqay7Czq/6QQvOU585FCYOj+NUPxDCq3Hs87lVTbNymfx5ia4IYnStVQD5oX5sC+UM4hyicFe54iHNA5ZFEHHQGjYuzLt4ji9vdUVAD0lD8nmustoX/+4xZe/7oTiE/5RL5oNMrv/ng9a59/5JzdU6hpR3NPqapz5IMHYmwen577CeAVq7pRKP66zm8n86MmB/SF+duTY2ydyJDIuhwyP1KRV76NBA2NVA0ypO0q7tsxQVdAZ3l3JLcP6PctrqcqSKBBQxL/5gXNPzN+m+y95QY47jUALUekmMwRYXvCBhMppzCHDn/q8/Cpz1ekV8oj43psnUiRdRWPD8dZELPoCZjM5cLLA1zllYwD8azD1onGTk31oFR156yuoIHt+XuSnlKETI3xlI2YwYhYbcqjT43TffThbL7+9or0hibJupXk3Xw5F3cE6BOCoUS2JMJKyNS5b3Ci5JqYpRXecTlqOZqamsTxPDKOh1IeQlTv6DQJKcdlw0iC/HJPAGFLQwo/4pSHr9oL0xGoHFcxmXG4d0cl0XdzTtG7L2wStfzxL/+ZHLOqC89TvHh5JzvjNg/v8qNurOwOsm5kepy0PcW6kRRHr+giaAiGEjbbJrOgFItiJg8MwqM740hgcVeQPz+0y39uXZKt4lSZtv0x1tRljpTuH982UUliXtEd5MlRvyyagIc3jBLPOcqGTY3XHL4IAD1XP0OTGQ6cH0UIkVN099CE4PGhBNHEREX+M0HY0jD++JuG0cNguk956ZXf5pIXvZoXzEoJdg+t9irP/tPPm9qjyJ//1EXvIepm0LOZqtdk161jwxtPYf4Xv0DPWWe1UBLBMat6MHWNsw9fyLf+uYnrHh3iA31h/DEAmhDobqONNtpo42mONkG4jTae5lDKD3NVvPkjhb9YyB+bTJcq5s0mSXhBR9Bf1O5FRT3b8RhJZOgM+l7cGdcloGtosnSh6XqKoalMy6Rg8I0pKdtrKXRpNRiaoDNkoGuSQJOk5kZQCgK6zoruEE/uYyTh7ZNp+sJWQ+L4ntxjl203yj0O9UyUcXuGoP1mZ46RRJb+sMmuIjJA52c+TMcd/wLq94tL334am77+A3jWIVXPW1VCH84MrfeX9cjBxfjah87m27+6hfkzDSO4FzBVI0x2q/jcO07lwTv+UfP89k1P8MZDFvCzfz5OJFK5afR0wWu+8K6mDawCMI9/Efzt33NfsCbRHtrqI/XaU9n82lPrpgkYWkElqRhBQyvM12dazU/7uYeaU2rN9G3aI311zFK17IvttBl1sGah8Nfg+zoSWZdHh+Ks6A4R1IvMqEVFdzzF/YOlYeL7w9NK9ipHpqqF0aRNf8TMKZIJ8l9XynFm5HDSEzIK5K9iNcZC7soPL+wrrVIgfE1jutzFd1f4jmZGSBYnK4UCTciCk1stSCkKJN3iR7RdF6fIgCSEX9Z8fq6n2FmYH08/5MruIEs6Awwlsj65uwxD46lCBewcSyGF8J2yTd/u8o7X3Eo8HufnN72SfgcmI3DbEZL9H/M48BHFk6e9k8HXnU5ECkxNVoRIjmdz5T7g2Tx+9U2sPPMEtFSiojvwNI3kxb/EWLqCnvzBI55H8pa7/XoRAk9N964CUJ43TegR1QmLRq6OGrWWeNYBBUnH5aD+MKt7giV1na/THZOZImKaIqBrLO+SuTYhuP9fGVhicckZOl1jimff79E1Do4Ou3p9MvWCQTj95y4jPYK7nyvZ3qXY+M9JTv/A/j4pIXc3fQ6dqkrIdXW6m6ilYekaSimyrk8G8oDsPffyvm2bW77vp845iavv2VanVKU4axbIwXkIfIWy7JvOgt/+vOXr73rlmwB/DErZLicdNK9gP46YBh7ZwiOUl1cKuPneWs/dGgrkSKVm3fHuwecdwbPuvGO381m1fAnbtm4pOZZMJjl4zWoAvnvhD3jb299Rcl4pxUM7JtiYI+CamsT1IPGet8K/pwndxsGHliqV69Bz0jHoU/5YI4BE/tSHPop1xttA5cLUCzBk9TW/Ah4ZKrUNr+wOoRcxRtK2Il1GFBOi0kHI1GSJAjKZPHFZ0RnUfcESaIogVLgPwCuP85tYHafnehg95SxSReS7BR1B8ERJIapFG8yfth3YMeHvDwxELAbjtUO3Q2UkumpdTX6oTW3ZRrKnn+GkTdZVrA4adIesClXZWjN5f+6Ui9S4j5uvPeUTmvMqonOFRx55mEOffVDF8cnJSV76It+h54FHnqgg7XvKI5V1C+PuTKCaeAnDyUzJ8xeTK/PoCBj0hk2CuiTleDXFYvKHi8mltUquSVE295zdtxD8ymfZ8uJX0RMycJVftoGoRdbxicsBXRLP+uTfdA0ys+cpXM+fayZsl4gpMTR/Hpmff+xKZLBdxc6y73D7ZIaYZaDN4YcwOJUuscnOBIYm6DrvXAJ33V7SD4akxpaf/hoGBgrHHM8jXkSs9cmhoIREqN3bcyy+9+Jj17KljCSsN9gPMzRJUNdzRF5VeD8by5xJoL7gUq1PLT+vTtkeU7ZDQNeIZxwMTRIxdAxdMp7Ksmm88n49OYENgLEc4fwfGyd42coubMdjMu3XXdjU2D5Z+30OJbKMJOD4A3qwXYUU0+q7APMiBvPCnYxlXO6toii8ujeEUh5pW9AT1Mi4/neQdjz27w2yfSrLsYcs4Lp7txeuyToe8zssdlQh/k4kbbQi+33YrNwrtjSftJ1HX9gskIMBDlnWxZbxdIG0bQrBlqE4926dXrf2hE1GZtkR8TWpx1l+88VNp8+3vsi6B2d0v/JmtY8Pj3Slpudy9bDjU5/GXLGS6Ite2HTey7t9Be75UYuXLu8AfMcRQ/OjG+hq358/tNFGG220MbdoE4TbaONpDsU0ETietokEjFyYo9x5pdgxkSZsaCRyBopG4SKbQSygszAW2OPEYEMTuQWtv9XgKd+rOF4WOseUgucs6mBe1C+jQDGetGdEDhYiZ4CdBYQtjUigefW7VubyUUunJ2gwktqzykT1sCAaaG5TeA8uWoKzRpxro1nsdZXFNuYM7TfbGnpCBinbxdQkuuaHZSuc++/3ErnvP0D9es2PgEs/+k42VVGFAJ+EEoxpyBqKDHOFH3/lky2lf//JL+bqIsNpOWops9VLP5cbU1lXYelit1QLf/yVT9YlBxfjnBfuV7d+nsrQBPTu2NDaRROzo3TRxr6DjO1SzfduNpVGC9jTHMW5vl97AK6L2SS5ziWeGqV85mA0lWVhtHkzajmhoDNY/9pd8WwhgkQesxWZoCdkVFUqK0be6bkRisNkt4KopdUMnVwMJxdNoxZChsatmyYrjr9keReHDERxFfxr8xh3bSvbuM/Y3LWxVNHxkMUd3LslN3+Ix/nKZR/mi1m/DjLBCL/43CXc9aoIhcDOOaWwx4YqHa/L1XhvveDX/h/Dw6x84J/sWH0oyUVLeM0BPX5o+hbU9gxN8q9N9ec5C2Im+/c2DsnseKrk/ZlVQpjrUrAzkSGeqd0eOqPvBC4GYKxL8PeXaOi24sQ/erz8Zp84YuRe97LNikPucxmPweN2L1feXUogfema/oblnksIAVMZt6J9hk2NBd/6Eo1bbRUoRX/YZCiRrRjyKyJ7x+MtR0ZpCp2dLa2X8mnHTj2HPqZDgv9nywT9UZPhuM3miVJiTnkLqab+vTvP5XPW52A0HBzkwcVLpu/T2clBD9xfNWmtKVssZGLb9b/j973nnTz44IN841vfBsBxPW7dMMJkEXkn/MZXkxgarLg2/MDdhI9di+jpg5PegPrx96fLW5bW+cbXcb55Aff88d/ctmmcBTGL1x7QX1AHbIRqSZJlDbWasEO1McPUJGFTFlSyJ77+A5Z+9J2NC1GE8Pn/h5uzhcykDacaOCFWy88oI8fl9wfKRSQCukbY9Px+PJ9XNanOPOJxTvvkaZh2pnDf/GkPWHzH7QSNjoqy1XtttpdzrpD+fsa+JnSRJwYXolnO4b0euP9+jjjsOQ3THbxmNXff/xBr1hyIUorNYwm2T2aYFzIxNK1AEG61zxo7+S2FvwUQMmQhnzwmUjaq6FzE0gsk0OP37y6kS2RtXrqiE/DH4eVd4em2pfy22IpjnaHtnm2qEYRShfmlLgVhQyNmlUaJ7A5aGJrvnLRupHLu5Ck4aF4UraBkCrYLdtHoMpa0C3uWFdjdQaYBqu1XRC0NS5M4qv58FYC7bmfhJ99f9ZTmuSw9+7W4lsXWa28B8o4L08/qTk6BGWTrf3+eJed/asbPUQxBLrJCPA5FggPljm9BQxI2tILsev60qWnkeaq1nFmzdfZJazVhS5eFediW8VKF5qAhMTRJKltZ3z0hg7Fk6ZprJOmni2dclCmxdJlTJoZVPaXKv+V41X7+PF2XgqillxCEARDQaUlevLyTdSPJAuHY1ARLOiwyrseGkWTJnDxkaDw2nCJkSJb2BApRffNY2h1iXtRCCIGrFFnHI2W77BhPs6gon2pV1x+1SurLc0q/lZ6oxba4TcZ16QjoPLB5tMIxTynFc5d0sLlOvTSLfM4rvnheye9mcdI3/2vG904ZFpadqRqRpRXMpEtpZR4/zVxoDts//nH2/2dz+wQw3W9pmmQwbhO2NNYPJzhgnh+VYY67zTbaaKONNp4CaBOE22jjaY785FQBuib514ZhptIOsYDOkct6GI5nSDoeXUEdUxeMpRziGT+0+UQqW3VTvhn0hUzkbk/Hm0NeUcbzFLbr/+fD/3dxRwhPeSRtly25EEBZT3Hn5nEkvkGuN2QwLxKsmn8jKJUT6ZoFJDMunaHZV8cAcFwYiAZZ2BFk3Uiiqsf6nsb2qTS25zI/EpzzUGPNYh8pxjMK7UXp0xntt9sKsq4fmtJVkMkpHHQFDcaGxpoiB+eRH/ej3/8mU+/6YMX5yYxDaiTB6p7Ibo43rfWYN/zyZy3fIR6P11TJ3f6Rz7Dwgsrwg/UwddRLWy5DK7B0jYwzcyXhVuvoS+87g09+97IZ329fxQsC/nyt1daZ+NUvCZ/ceEP4GYH2hKYuYl09Jb/39Mb63N+t3QDqoa18vI/gKfYadlehrFHUHPBVpDqDemPCwRzAadLpeaavrVli/kwJ/H/fMMb6kSQRSydT5Vnmd4egjCAMQDzOt3/y7oq7BlJxzv7YG1DAJV+9poREUQ01SXi9vaw/+nXNPMIeQTPvz1OKwxbEuGXDeM30S559Cnfe8H3mHRhACIHmKM66zKV/GPQyU5NUIF3oGYcjZIbll57Bl8+cnr82U6ZV3YGSsNTjRSHJdxe13p1x819g04YZt/m+cICBSICE7TA4lSkQnOyyvuCM806Z4R0aY+Tlx9P71+uaJgPEw1GGyhwTRpIOCNgw1jikukCxsDfMUQ/dlPv91IAaH+fBxUvofPe7WfSJj5ecy2QyXPPWN+E+sQEVCrDmfR/gLf/98Ybk4Dy+f+F3+MKXvkQSgzs2jZWQsBa99qVomeqEnAJJdGQIcuTgevWplGLl8Wv514U3MJK0yXoehiYJmRqGPn1lNSEPia/8W9xOunJR+MjZ3A1NMJ5zLnjWvBgCcD2XbVOZEqcD2/VKyPb6s5+LJwRSqfrlz9/7YJ/sqUnB/GgAznkH/OyHda4shZg3n2VdpfZ9XYKm5Z/PL4WndPrCJgFd+mHcNYmrfLVSP5y78qMQOm7BkUIpRdjUiJkGG8YTBYL0aMpl22SmcI0UsDBm0bPhIQ799Huny1b2rwZsPmItAMseeZhoJNK0U7PCV66/bcMI+/WHWdoVqiD47UmonBiNq2oTAOcCzZCD8zj02Qdx64ZRElkHT8Fk2mFeyMTxFEFDMrXmIHjkoabyyj9i/G3nlhxrxpE1ZKq6ezKWLpkfDfj1WFSXosW63ROBSPLOZ0u7QgS02pEwLU1nv94Im8aTJarGft+RYnlXuOaYPhC1WF8jImbQ1Kbn58LvyyqzycllFhHWPSBd9q4sXfok2CJStqn5IkgCPwv/X8Fw0saQELE0UH4fmf/+eoImmpSkHn0YapCD8xCAlsmw6MQXs/V3tyA3rmfxWacgi15eb+mTzNq4uvjUV7Llj9Oq9fL6P7Dky5+piBwSP/xIRr/4TSxNYhW9YqUUbk4tvnzd0hmsHZ22llp3vTldPmprd8jAKyJmV42Cq+DhXQmkgAPnRXA9j4ip89hQnKzrcdTiTg7oizCZceiwNLZMpFk3kiKedXnl6m7SOYKt4ylGkjZhU/PHv6JnFEKgAc9bGGW02+HBnQlsV3Hj+jGipsZRyzrI5tr5gtOORxsd4SzACYTYfvnvef6KbuIZB6UUhqYhhChR9J2u4xFOKSYIV6m7cueWjUOJwt8CiNseC2MWq3uCxAIaAQ3+ev+OkjyztkvI0FhmpGeljTVycqkH6XlsX7CchdubF4zI3+uX3/odZ73nVTO8874Le9Mmstu2YS5c2NJ1jqd4dCjJwpjF5mCqQBD2cvOUNtpoo402nrloE4TbaONpDiH8xWzG9cP0Hrm0h/UjcR7bFeeRnZMMTmVwPUU84xI0NFb3hnliOEEi68yYHAywfjTJc+bHcPYABzVgSFLZ2oX1wzJJJjKVoVryV82LBGZ8f4G/WejOwg6nwp+kVxFx2W1oEkaTWXYlMrOiEj1byLqNt+j35JqlvT5qo43ZxL7T1zwVkM2pexQbzMdTWRa95Xig9f6p67dXViUIA9ieHza0JFR2y5j7HvPcV6/lZ3+vvknjvOLVcMHnmzJgFhSxPvO/hWNf/9wbefyeu1GuR6gjxKe/eSO9vQPVM2gSu2Nku/fff2/9mn/eOPMb7sMwf3Fxy9coQPzy57CPEIT3ujj+3r7/HsRBR7yQh+74Z0vXfOePpQrre7q6fOeMOVR0mrOc29iTmM0Wsi+qJs9mPzm3X5SPgF6b+NAIAiqiGlXDZMZBCl9lrh7JpPh5NQEhU/OJKVm3hBhhaQJTl02Rhkxdw26ijHON3SHwb53MABmWd1c6f4tqdRCP852fvNs/X37K8/hHJsWw65J498v4BZK3XfbvGZdtNvCCpR0NlYQbo3H9espXQjtySQe3bq5+PwEc/9q/86drX0L/gQGOucknBxt1uO1SAR7oGhw6chb3h/8XJ1B/7r1fb5DVPSGEoIQEEtDlrBGEa6Hji75anwFUWhObg6sgoOss69KRwl8r3LOjlAQivdn97oprJfHRz9L5tz+ju07NNVOxmumvvvarGnk212ErpeiY38UZv7quhRLvOxi/6CJSjzzC/M9+ho1Hv6xAxjm4ONEHP8bwzq0t5Tt/Xi9X3rERmH4Hned/Bi2TahgdCJojheVVIfe74SqSp5zBj+70lbpfuryzZLwNlYUo7wroLO0KViiNDpSJaDieS/5L2DAaZ/++KIPxbBWyV+mIHNAlW/70bxYf+3xk7nhNwd3Fiwlf8gsAdE3QHTTh3A+RuPpKiFeGc69WB+E/3VRxXJPF+wb+3aSQ9Ien9wI8BSPJbEmo9moYSWYZS9olIheJrMOG0VKit4jHeUWOHNzM17NxzYEs+9tNhFasYMNogpW90brpXc/jb0/swvHg7q2TPLIzzn59EZb3hHKRFfcM8sRgx9vz1r9f/vKXLV/z61//lmOOezVCCNKO75yvC/85wlf8ivihaxp+b/nnTK9YNZNiN8jdV0Q165BtZxsznY9nlq8o/F1XIihXYYaUrOgKkXW9wlpY4EcC1aWocJ7JQ5e1c/c8yBZ5PdSO6FV6LGhU5iklFfuLrhJM1oiaYXtgV4mM0Ruy/L3It5xcs9zFEICWzdB17jmEn3i4cKxW6WeLJCzd6bIvOXZthQNDHtH/3Eb02LWkLr0a76CDCsfH0lkGpzLEApU25XrTs1oE4WbUsR3Xw/EUAV0SNPxvpCukk84RiAHSOSfBgC55YjjBs+fFEErRFzHJOD5ZOFYUvXVpZ4gXLlWkbIcnxyoddvJq8d0hg7TtFtZnPSGDqYyDLgXLugJsn8yyfdcUG6Yy3P7IIOdfcHrFd2Gkkyw9+RiWAO9/20W8bO1KJhxF1PJr/blLO5nXGeT6+3wC7+bRFKYmCvu4piY5fFEUz/PrUQrBY0MJTOnXuaVLNk6kWdkXImRq9MUC9EVMDlsQI2xKblk3wmNbxtl/XpTJlI2XSHHrgztJZhy2PLmLH/z6Q0hmp33tztr8L5/6Pme/51UttfWkOTPhr2po9RubqeJwK5j4wx/oe2fz0Rhcz+ORwSletKyDWzdNMJa2eeUBfsSWPeE80kYbbbTRxr6NNkG4jTaeARACLM031iAFq/ui9IUttowncVyFFLBmXpRM1sPQBb1hk2SVkC0tQ+2JbbrGt/CUYsNYojIkTA7zIhaGJhHQMnHW0MSseNwFDUlX2PSNAi1kGDQ1JppQF7I9l4d2JRqm2xuwdNnYA34Psmz2OqHnmYh2nT+N0X65zSJiaYUwg8UYTDgsqeLg0gjN1PxE2iYY2Z3lwNyP8YnJ+iSITd+9lKXvO7OuAS9fym0f+QwAHzj9ILY/PFYSE3d8S4b3vPJQQn0a7/jEdznqJa9tuaxhU9stxb/z33vmjK99KqGZVrPLM1g0g7zTUiM8g+va2DfRbA/zPz+8ijcesqDpfKWm09MRIWT4hLrxlL3HRytNCvaZ8Bm7ATGHtEzxFHYyeuqWfM/iqVZP6d30fi7e4K2HjoDBWMonQhrSj06Qdb0cQUL5RGXhK99FckSvvKpjR0BHoTA1STzjknU9MhkXU2sc3alWmOBZQ5Md7WyQ2as9baZK3b/1f07L3XMaY57LtybH+Ws6iYbARiEBB7jw9QeC1HjPrx6ocoe5q7+OgMarVndhu4oXLuvgnxsr58fN1lozrzlsaty1bYodU7WJcpqAobTL4a+6Ce83X+Z5d/8drQmRAamgc8L/d7n8b55wvgeqv2b6rqCBENMOlGFTY2NOyXYgaha+AchFF9MEncHS9Y0uRQm52FV+G3E8RcZVKGUzkrJJ2h5RS8OUgsgTD0GOuPvaYJirUq3Z07r65pFyHV+hUOVbh68uGi4iJgVyyq6zPQ/xpFaom8m//pvw61+FNTZSs5U6us7l3/5jzfzq8LPKIDh4UQxD7XkV9NlC5uab2fC3vwHVw8srpfhD/wI+NDbM/XZ9MmkeTjZLZ0BH4YtYeEoRu/mGpsvUSvs48tqfcOcZ57Ci25fC7AhoSCkK374ClnQG/Lag4Pj9e/HUtC1UkHd6FUU3Vgghc2OMf3hnPIMuJFIoOgK6L9CZU9K09OkGY2i+subkzf9B+/oXifzhNxVl9gDtR5fSvXZt4ZgU/lzQdhXhW+4g8ZqXw/ZttR/cNAn/+77q55rsnpsZB/MquSW3rjLGnv7JNwOtvbuNR7+MjdffjoS6BGGlFP96coTibY6U7XHf9kke3RVndW+Ylb0hjCbG/plC5erB3QvE4Dze8dbW7Sf/99/v4vCXbUAAt22e5IiFHZh6fn4lSVx1LZzi24Kq2Zjyz+pEY+y88IqSc7qUxCwdL9fXKwWO51WZ+5X+Dpta4ZtRStEZMH3hmKJPUAEIhaGJ0nFc+AqiqSZVfkxNVOw72a6ChYtgW2uODzsvurKkHLUgpSgwRqWQBPTKdul4/rNVIwkHdMnqnjAKxXAiW5jzVr9vc2vTqs5oVQ7JFjaJQqZGIOeUlxgcbPq6PGI1yMHFx1TRv7szbyiupTw5uNF9g2e+kUd+dSNEIn57zWUwmXboCOglSvL1ylbLuct2/SgqnvL3cj3PF4WaSju4ShX63oChkXW8wlopD03C48NpQoZkRXeQqYzDtskMWyeHEMD+vUE8BSFLkrannVUChsyNf4I1fTq25xLPugxO+Xb4kOErCHtKkbQ9IjlF4bx6NoCddbnp/u0oDz563GoGXnFEw3r4zk/ezcULL2H5mmUF1f0nBuNsLVfLzlWXqflK/tGiea/reazfOs62cX9enP+GRnKOLi/tDLFuJEXKdlnVG2LraJKIZZDIOGwaTfHcxTH2XyPolorHN48RblDmVpFvZ63kOTawDICUaRHMNt4Lybemq775WwBsw8K0Z+rWt+/Cm6rtJKWUwvE8klmXx4eTbBlPcd92P/1zF0QImxqTGRel/KjFTzUbTBtttNFGG7OPNkG4jTaeIRACDA2k53u4doZMOkMma+Z5jKWyRA2dcWxsVzGZttHE7huRXOWxJ8hhKdsjaAhSdvXprQBMXVYlCPeGDQaiFq6nSNgOYUNvKVxTseFCCn8h5nr+362QjaUUWMbse4frUjCRybKxigfsvgABDEQCNIpm2l66PL3R9lx9GqPND64JXfo9W14loXrYasUTQ0mOYG6qMpGdNhDtq6iq9laMVfuz6Uc/Z8nbT6ubbPN5X0S99BWcc+wS4oPVN6yVB6lRj59+7QP86W8fZ+2a9/CaU9/XdFlTtsdoykEIX4mpeIMxkCcCKF+9udpcw3WfuhvpraCWYkgx7n/FqRz6l6tazjvwjvdUPe54HqDQhNyn2/tsQRPg7cnYrvsAzvvOZZx/7hlNpf3lXZsLYSrB74+jltHgqtmF7fqhbJvdzG0VTi5/oJTfkYOq+aNVKEKmrD2Xq3Jjge9HKvKEqdzf5bA9WNIZpGQLV0HKdsvybZ2kLBBErfL+qLSwCoVQPpk770xanlTUuLZaiUSVpLV7Iz8HU/M3LBv1m9VnEKXnOgM6Uas1E6Ao/G8amhBsHEvOSvjoZE6RqVwVqwSq8blqdR0LaFXVwUouV9OMKJHLSJPCn5uJ/IbmdAVIAROZSjKYwOc99IZL+5GRhF2ykR8yNbINHIk6Ajqa9FWpxlO2r06Wq6dsTumrWFl4vEzVbCLtEDQkk+nqYX3roRUSRDEipla4Nh/BuaraWpNtxvZ2v18cq3L/8qc78NF/VxAidroOZ4/sZNzz8HOoUmjP5cLXH8hbL7mL3q4Q6ZRNIuOgQs2NI9lGxo8qMDXJmr4oHr5Ty6O7kgwnbUinOflzbyUyMVKSXgGjp7+d+On/ryKvoKFhaRIPGE3WCv9MXXIw+ERcJ6fSd85f/t7SWkV34Ln3Kf5wvOTgofeh1HUEdP/by5vtukMGIUMynLS5fcskizsslncFuWf7FNsm/bJ1BQ1cr/Rd+99O5fvvDhmFvnnzeJo7t1bfaJ8fs9g1leHVF3y5cOy/OrpbJghffvP9jCazVcuigIMHwoylHJ41L1w4Nhsz1HyL3fLTX0ORIvjUlb6ib8dnP0Ls9n8W7pVauIShn1zt/3hyvGa+skbpKrlZgnu3TJIwQ8TS8ZbLP1Pk112zNc+vl48QgpjQ+G5XH+8aG+LhJknCulZEVI/H6WT21/j5/JZ2WqQdj95cvzSednA9fz4VtTRWdk8r5z42FOfmDeOF34ctjLK8K1BCfsojYmoFNfyJGqqaxZCU+OTC+85j9H3nAfCfbVMFUtTph8wnFjBKIimBL6aRt7uH//BXTE0wfuapqPuKiMA9fYT/ckvDsjSDekqleVQjEVdT7NWabBcleQO9H347w//3I27dMFw1jSZ8Uu5kpnr9ZxyPBweneGxXnJW9YVb3hUsI27uLPDG4hgbLHkU223ode06W2zZPMj9q+Xm4+f0rAEV41X4kbrkTjj4ScsrrxVDAxCtew9RHPl2Rd2/IRAVL20LadVk/Un38yM9Bklnfkct2PeJZl7GUPz5Zuiz5JgK6ZFVPpGLdZbQgNKNpomoUzvDv/0KiCfVk8OvAtQIc2BctpDd1gV3Dj042ETnHdn2CcPkzg9/W8orK3aHyuW9pvp5S07a3Og+g5Sf+DdBKhM+QIYlnXd+2+7pXNX8hzRMp8+k8qjvDNe0slvu3/1Pvr0kOrnbfJScfw+brb694R4Ym0IU/Ptq5dVQt1CIIZx1F2int1wwtl18OiaxLIuvSGzYqIrOkHcXmIqLs8xfH0CSgBF0hne6giacUadtva7oUeJ5H2vYwc85aUggsTccMaMQsnZTtR9x9fHj6Gw7o/twUpdgymWU4aROUvoDUcYcMMK8JcnC+Ps/+/FlcfOENhAzJos4AIUsjoGss6gyyvDfMgYtihTEn6/qk6ZK6dFSBHAyVNqYlMYvl/WFcT5F2PDpDBv9aN1pIn3EUSUeRBD7/+8/VKfGew4PfvJTutM1vLvgNp5x7fIHAVM/e8dczPlI49vMv/ZyzP/aGGd9/tubjs32PZGcvw1NpIgGDgKHheorbN49xy5OjHDQvzGTa5e7tUxjSjwqUV74W+PO6x4ZTeEqhCdHeh22jjTbaaKNNEG6jjWcaNOlvbOXDP+mapC8SQClFn6ExNJVmv94oSvnppBTsjKcLXpOt4PHhOPv1ROec2mlqtcnBedQyhvWHrQI59cnRJEs6g0TNmREEPEUhjFHAkE2pgkkB3WGTUIubtc1A1+C+HROznu9sQRdw0LyOpsJCthcubbSx9zGWzBIwNFJZh66Q2dTm29OfhjczBHJGb03AoliAnrDpG/o6fGLF/YN+2FnHKzWGtoJmrko7HjviaRZEZy8U12zj2Ue+tHGixSvZfP3tcNftLP7k+0uJHueeR+bVJwHw3jcdUJMcnIdnK6Z22liPZ9j23Mv46qdv4WNfaI6o6inFwpjJQzsT3Lc9Tl4g9CXLO8mMT9H53a9ibXqC7CGHMfbOj1ZcL6RAPQNInbVCR5YgEqkgt9VDPu3fFj2bI5NZekIm4L+TyazNtgnfaL6yJ0xgD4Xr3Jv9nybFrJD39jZaqcPDXnQM5195Pee9+diaaXTd5Mr/bKw47nhqj0eQcDw1K1FIasH2pkl2eUW3uYKhNfldzwDV1mVbJiarpGwdvWGzRFGyHlb1hLC0vWM+2zSeKBBodgf794bR5ez0f3n1w93FroTNf2qQ9HYXz1sULVEWbRa9YcPf9J0F6AKKoxyPpxw//zrtbjLt0BUyahI3m8FMHQ+UUkQtreX2tqI7XOHw+1C68jttpsUYUlSNqNEqRpM2liaqqgbn8a4bvlfy21OK94wOMeZ5NCqBBH761rWs/eJfC8cW9EcalutFyzpZ2hnKkco9JjNuw3D24JMCtk5leHwowf2DPuly/z9fxZG//UkhTfmQ0nP5j+i+4sds/tO/S44nbZd4xi0QB6uj8dsyNDljVW2poHdE4eqCkV5Fj4REWUjwkaRNMe15y0SGLROldsnmVW1rk6HLoQtQmTTBqbGS46cHw1zeJEm4o2ceSdul/JadQR1dCqTwXQ+WdAZIZV12nnseA985v6m86yFfg9lFS2BgoGqaic9dQDUrYaM3rpSiL2L4yo/KJwEJfFvrsi6fbJpXoZ2YF+GSD1/IuV+e2+goSimySqEE3JpO4QHHBEJ7zBkwKCXnd/Zw4tCOptIXD5uxn3x7jkrlI18DQgoWRAP0Rzy2T6XJOl7FerO8ukKGVnNerLfClqOMHJyDAsZSTslY0xmYJvDXgxAQ+tkvap4vJ++qHI3O9jw8z/MDHebuk0+rcg5rChhKZknZ/hjg5U6s6J5WW1ZA2vbYPJHx1Sw9RUAT/PuxIZb3hVEInrs4yujo1IzXguGH72eY2n1Wd8hgNNW4P7M9xaO74jwxnGBlT4j9+yO7RRRWuX2kp0EAFJZ2BpBSsKonSMZ1UK7/tnwlaIUVCmLd9QCPDk0R+9UVGH/9E25fP9Z5n2a/g1ejSYGpSyZSdm4c9PtDz1MV5Nt6Trv5dgeAUBWEx0AZWTadsyGWDZd4SlWNUqGUKvmutDofWcZ12PTxL7LkK59qSF4TQMdt9xT+BhhNZkEIIoY+4z7YX08qQobE8VRV4Z1G62fbVU2tSwO6LFFNV1SfP7fiPDeW9B0DM64HMyCvt1JrEth0/e2F34tffRTSbW1O5oQjBP5ze+OEOdQrX9r2/HaZa3OprEtnUEcpn6w7lrSR0v9O3BrfRC7wbYkdq5rzBf5tkMJ/j4YmMTTB5vHpOeIBfaHpa4VPwl/VbRbecd4hVOGPK7ajCBgCx83bhgRBTSeoaxWfzFTG8Z8DWDfiCzKNA8/bfx5jGzY0RbjOFQsFPOvXP+GSg06gI6iztYjs+8LVPWQdr2QcdZVi3rvfTGDDk4Vj38nl853jP8DWA48gFtCZF9MJGBIp4PEdU1iGpDcW4IAFMVb/7lIW/ulXaJ7LRP9i/vzx72LqkgXJUmfD2USzjgeOrvPkaIqYLrht3Qi3feAyPnDxeaya2Fa161LArV/+KRPzlhDOtT23c5qL8HTZk/KAtw0vxvuB/71+/rVruHcwgSYFvWGDzoAveLakM4ClCxJZj6Aumcq67EzYTGUcpBA1hGnaaKONNtp4JqJNEG6jjWcghPCNAvlFl6vAQ6AJcuQvf+nhKfBcRV/IQgrB9sl0g5xLsSAWnDNysBRgGRLPUwVSbi04ymMoXn1h/siuOAcPxHh4l78xuXk8xZp+DQ25W2VP2x66FP4is4phwtIlkYBO2NIrQjuVo566Y90r1VwG/d19GJpW0yjQRhtt7FtIZBz+vWm08M0ePD9GZ9BgLGmzoCOYC8lXifYXXh0RSyPt+AbUrZNptk6mWdIZpCtg4nqKgahVcMwxW9yEK4YT62yYJjQD8kwerZZMSg3Pa81o/cnvXtZ84sPWsqXISB61NDJFG4+7HmuOVObZiuEn0tgpl47DN/Hn3/2MV554TlPXpmyPNf0RNo1ncBUsu/0vLHvP10vqKrDhSWK/udpXMPvupbBqfwBedtJp3HjN5U3d56mMZkOHb93vEBY/fm/T+Y73zGPjWJpEZoSXrujEVb7xvtgRaetEipVd4T1CHNibttenS98bNrWWNqEPOeS5XP/ITnZs3sy7T3oJ6VQKASxYupwfX3db0eZ+ZaYBQ3v6VFw5nq7PtdtovmKeHE2yIBYgZhp7XIW82T5zj6IJcnDI0NCkn9TSZVUlwrlsm/tCrQUMiZeXIs5BKb9uyqFQhU10lB+u3XY9QqaGQiAUTKTtCscxCXSHfdXFqYxL1NIqCEBKVSd1dQUNtOkAB+gIdpaRVX0ifX2Sw0M7/fnV4smdsGkj6oUvrZqu0TsJmxoohacUhi4xpSSedWbs8LK4M8i6kekwveXZlG/g355NM+y5DcnB4G/UHiYl//utc/jyef5cNWZqmJqkM6DTGzaJWv43IIRg+0SG0ZTN0s6AHwrccYmYOiAYSWaLCPe+qtN42iHleIVPbSTlcP+OaTXWBffeWiAHV6vXwjGlWHLc85m6+T+Fc3aOzZ2wXbqC+vQmuvBVYoUQOJ7H2iWxEpXu4vso5Ud5mrK9GX9rXq7tuRqkbj0bnn9xy3kkcm2+GM00l2pdmMxmOfQPl7DmH39Ay1TaPj/Q0U1cwW/T9UnC4WgHP77xnsJvgS/UEDF1BIKptFMgrudV1DOvPgm+c37TBIrivMuPpVesYviiK3yCfANbaTEavkcBQ/HKfnxFd5CNY9P1JQU8tjNOcRywueqPsyh+nUrwg/gECaU41LA4OhBiz7gC+ogJyaGmxd1NhMEutn9ak2N1Uu4+5kVMgoZOQJeYusSQsKwzxMbxJFsmMkym3cL7KbY3dIfy40L1txbPODNyJCmGUIpHh5Ks6gkSsTQ6AzpPjPg2+QWxADHLYP1IgozrsawryGjK9sPNq2nSLsKPluEpf+zMnytv8ZYmfbJeFcic2mXxe9kxleXRodLw7lGzNAKNp2D9yHSUvgVRkw0jSSIBnZ6oRdDUsG66fmZ1Q/0+bGHMwp8Z2k1PoVxP8fhQgozjccjCTnTZ2jo1Twz21L61pPCUQmoaXoukSCG1AqkPYFlnALfKoDA/ahEyNYZPOg1O8qNVHTgvQtCc3k7vCJp0FF0zlshUEISF8OdbQvhkx2r7ID0hg3SZ/G530CBVzQmnyrvLOAqEx1Aym0viJ4paWomDo6tKSbBKKRQKRyk2jaVQL3kFmxYuYcn7pp07Km4XiRK+5Y6KMqQcl6GEjQBWdIeQQmBI/9vxVD6ilq/e2ghJ2/OjgFQxBFSuw2a285Xjshb+roVWvhVX5R2151Zeu9oT77jqzyx8wzEt5bPtmhtZeuzalsfoee9+MzsvurLw29AEyaL2q/DfYbKMcO0Wvc/ekOE/g6BojeOT9IsjwNZaA4jcnnbSzoXKpVTVvitY6gS3sidc8lsphZOL7JZ//rTtO3CPpLL0hkwcT2F7LhvHkrlrIG673Deaxna9CgJ7POty5mcrI3c0wmF/vYpLDjqhYn/YNDRiQR3XU0xlXMTNf6Hz/E9N10FZPu+/7lu41wm+8qlfknE8No4keTTnVBgL6Hz2x+dijpQq0/duf5LTzj1+j/Tt9ea4eWeJG378Z0iWjm/fOvt8XvWseSx/6DZW/+T/0LJp3PkL+PnHvg/Ayp4gU0V9+vyoySWfuYSzP39Wy0q9raafCfL3aPZeChg74BBOOmIJS7tCjKdsRuJZesMGMUvD0ASahJDuczc0IXjWQISIqfHwznjOyUT43IiiiD9ttNFGG208s9EmCLfRxjMYBaKwgoJtr8qKwFPQFzZbIghrAsLG3HUxuqweEqka6imyKOCJ4TgRSyuE/ntkV5yD+qPs7pLA8RSa9L1Z84tbS5eETI2OUOPN5VTWYTLlkHFcZC78h6XLguJYI3Kx4ykOmhflwZ1zo8q0u1gQs/Yp42IbbbRRHYmMwx2bR0sM2Q/smCZarhuOc9D8GP2RQGGTJY+2zaF5bB5PsZkUB/RHiOfCReoSnrcohodAoloOF7ftqhsapt0VzxA1dTQxe2Ena+Fb193Jucce2nT6QCjcOFEdFJOq/ucjx7S0b6BcxcZ/THHg67r55z+/3jRBGKbViI7+zsdZ+sjdubJUx9L3ncnIGe8k/pa38q5Pf7VlgnBHT29L6XcXhiZyyjpl1Vmlbqe3aEu3MBJNzt9u/OD/cuZ7j0Oq+uSTvDH5t1+4FIA1/eHcRnJl2vJQiHOJmYZqnw14M1CnVYX/7Tubv4msy0yEMCPzFnLZretKjpUrMpXD37JsYybYk/U2q19VCwX3FGydSNMVdBmIBPbo912N0D6zfPYsgoZPCu4NG0ykqqv3z2WZFNNRhKqFA69VlrGkw46pUvvBQNQoIlwCQtR14s3jpvXjJJrsxDp0wU0P7eS4Z83jwEUxDE0SMbUSteHukMFEyqYrZBSUOl1XlaSZyrhViVs94Uq1WKUUw4npd1N93KhCzij6O3zV5fT89DsVZIWlQHZgETsuvqb2Q5fBU6pAXHFtjzQeXUGDsTKlxGa/ifJ0AljaHUQp2Dqeqkh/eWKKZAvK2A/YWaacFJ/8+ln88tu/Z828cAnxJmW79IQMRpI2UUsjamlsm0yzraKgigd2JusqV6/qKY328Yoffq7wTPUgcvmnf34ZqZPeDPiOin75vJpq071hg1ADpUlLl4Ry8yolBKKFunMl7BjIbVIrsBmZUf8+065YCp8UaQ5u5vWffXuJPEC9LD/Z2c3bnBgfGBviSbe0X1up6XytfwFuTrE5T9afyrh4SjGedgibGpqUUIXQNvzWc+n96XcaEigAnEAALZ0uOZ5ZspydP/xF4UBIk2RmqPBcDeVlyrfJ8ndQPP/+0bHv5R3Xf6854nNR+2nWEUcB349PFL5bJ6cXuycJwkEhOCkYboogbGiCiKURNjR2Hn8yS/91y6yXJ1+L68dSaEKwIGaxtDMEUiPrOmhCMBS32VSkUtgVnLbdL+sM5N6VH10j70hR/E50IXjOQCz3S+B4isF4qrojUDUIwZq+EI4HB/aGiQV0HsuFb984lgKm++exlF2hpNsZ1Av2+0aoN17EApX5NBLwAH+/Y3GH5UddFIKoqXHwwiiJjIup2XQFTJLPOwp18Tdmdd7aFTTosPxIXt1BEyFgPG2zdSLVlCPNmnkxXFW1+5k1HLX2MO65++6SY+9413v49ne+V+MKH+N//gtb3/a2iuMiGuWghx+qOK6Ux31bxzn17e/nyu9/o6UyvuisDzeVbiSRrRBCaDT/l0JUKKAqVGEe0xv25wSLOwKs7DaQwretTGVsklmHnpCBLn3F65qq9zXedcbx2FUhjmNhhWrvzWU9t8SRCoBV+/vRueJxFp79Woxk0u/oX/wywhfUVj7P8/AVsH7Uz7MvbNIXsgo2mEQ8Dl/7Mjy5Dl7+SsJntU6mDGgaC2MBtrUoYlSOZtYG4NsIWkFX0GDdSJIF3T0YozOb28wETjiCJzWk5zblaOSaFiFjZjZgY+vWkt8xS2++/wc6AjrxjEO6iGAbNjUCwrf/FGMsZZfsq9bDeBFB+I4tk8QCOgJ43YH9SCQp2yNs+vuqV921lese3Ml/v2o/1gxEyTi+vf36J4Z5fDhJb8jgxDV9bJ1MYrswmnK4L+eot7jTwtR0PE8xkrSZzK27XrSss+X2UvyuytWSk1kHkTvW+8SDhHPk4HqOgRqKT3zxFH7xrT8wELNQyp8Xve2/XleY6+4NK+WfTngnx/7+BzXPu7rB+l//nWU5R5RsprQ93b1xjIOPPZYdx/rRwpQCNowDOUXzgJ4TQxOYmqB/5WL+9NWfcdzHzmmJ9DubdVPuJFf8+1lbNnH/60+FO//d2Nat6Wz+6P+waiDCoo4APSGLRNZl43iSWEBH4hPsD+iPokmNeTGLDksnZGocvbqXB3dM8esHd3LKc6Yji7T36tpoo4022mgThNtoo40SdIQMbNerCOvoeb4RrFkVL0vXKowiswkhwNKnQ2MoAcrzDSLltwwUGXSCucVvycaN45EqW2iOpbLEggaWJnG9pkSSqsLU/JBF+ft6SpHIOqRsf8Fu6pKAoaFJf5PRzKkJZW2PXZOZQv3ltR2cooVyys42DA+mlGBpZ5BNVTbA9jYGpzIs62puGGoTNtpoY+/AU4p/bxqpG6o47XjctWUcKcCQvkJNf8TigHnRZ/S3G9Sl79ShVMmY2hnU64aWfnRXPKd24F9jSPjjxy/khK+8u6n75us8s2BJU+kdV+0xdcKBgQHWHHYkj9x1W1PpL7v1id27YdFjbX5kfUuXKg+Gn0ihW5IFzw0Tj8eJRBqHjgZ/83flTb9tSA7Ok2l6LvsB8WOOh4EBehcsYnj71hpXVOLHN97fdNrZgKFJ/vDo3IWeK8el3/sTb3n/CRjO9GZXOQnJlZLLvvsnAJ6/JIYma88/e+qG055l7EWrq6MU375t827loZRiZCTBltEkuhBIKQp1q5Svnnjuy1fOqZrqnhxD9sZ49bQZI5+iDGE1g7zGUjYxSydi7rm+pNkxujOoY7uqYmN1Op/ZQzOvfDxl0xsyAFGhersnIJiZU0jK8SrUAx8dqkzXFzZY1RPE0kXNd9SSQl/u3zs3jrFmYQzHUyUb3eCHGw8asu48shWUvxVBZWjfenaQBacdjzE6Uri2PG9zcCtLjl3rE02aQMquJASPp3ySOUA84zZFEHjWvDBLOgMksi7jKYfxlF2wY20a9e0ia7qsQjnzZX/Mbq1eTSFY59i8wMlCPA70VKRppg0oQYU9ql5GgcHBpsMX59H3g2+yOUcQnq2+oJhcs+WHV7D07ac1fa0n4c7Dpx3O5AwjeO2KZ+kfiBSUeJtFZ1DnxP96E5HJUaC1OhnQdX7ZN7/iuAKGPvIZkvjk4KyjmCojOAR1WZMInjjldMTUGD1XX16TVAB+hJhiJ9CesMFIWZ8gBRVqlA2Re5+6FGhSoEuBFP4XopRCSkHY0AqFGoiaxCyd0YTNFplCCIGeE6A4ZHGHH/J+yau4Nb6No/7526pqwiqn+Drkuvwrm+aBbIbzOrqxmiiuoxTXp5IlpH7peXt8o0sKwTytMSX5kLUvYizlRzaJmBocthaYG7W6dHB6zaoUTKZdRlMZJjMOiaxb8a0V9/N5i/pYyuGm9eNV81/WFWBBLJS/GvDXv/m+2vFUCfH24IEYWcdjIu23UyEEC2OKiKmjECgUIUNWqE3WQrkC67z3vAVzw3pQoEIhtl76O8it2+tOP6qcqxZ+u/xQ2NQqnDaOWtXLD/6+gZ+edRiT6SzPPnIN9bXGW0NAlwxErMK6y8t5yEZNg4P6DRAwlsyybTJdtS/dvy+Crs2dQ/ibTjmZa39T3SHoh9+/kB9+/0Kuuua3nHDiayvOP7hiJdQYf9XUFA8uXkL0lDey9IILAIhnbB7fNUVHQOetH/x4ywThN5zz3hLFYFFuXMgh6ykCZYS9RuOUpxSaFFhSkHU8P2JnlYtMTSOgT/cb86IB+qMWD++MEzJFbXJwnTLkH6krqBMy9IbRHwBMWWfvLhJh6Dc3sbon2jAfoCgSwjSGElnGUjZ9V12M9eMLS08+9ACJb10AUoOb/004EvH7QlF/7ukp6AmZZBy3rmNVI2RdRUAXpBso7deydZiaKBDGfWcKkffKAmD7z69j6bFrZ1y+mWDnDbcx75Vrkao6ETT/pJ7UGL/+X02TpKuhJ+T3O/l79IYMNCly8+1cvvE4gY++F+2hB0qu9Q5+DmNf/iYYocKxRNbF0kTVthixNFzPK3Ecdz14zkCMtOsxOJVmPGWXrI/Sjkc6R5gvsR16/rj9/OXd/PbeHXzhj48SNiVr5sc4ZHk3jw/7a8DhpM1f1o2QyOadvKbnVFvGMyVt54DeEBlPsfjcM4CZjenPWdLBkv4oyWSWkVw0weLXEzr3bU3lLfBJ7c/7zqdZse5eZM5NRja4tkY3uNtQgCMk1614ITsueDXJu+7inVd+AT2nsr21ayFfPfN8VveHeeLG9Zx3/P4cPBBGk4K1y7pIXfBVVvz5mtxMQTB2zPGMfPhTTKRdVvYEEQgGR+L8/bHhKnfXue4Dl/Htb838vcwUqsrfQgg6rvkNiw5/LgC3f+BLzP/UB1i68cGK8uWvcQ2Taz9xIct6+kBqbJ/KEDJ1xlIZNKFY1BmkL2Ll1NphcXelyMrapV3cuG6EQxZ0FI41oBO00UYbbbTxDECbINxGG23kwhz5IaOEEEQCegVBGHzSb7IJI7MQsLonUhLSeSawdFHTOztt582WpfeQVQwJnQGDmOWHb9SEION5rB+pb6qbyjpszy3IQoZGyJBELYOwoTe9YAoasg6pzs8lZXslikoCkHLa83o2ELMMYgGbyXRzCgt7Cobe/NKsVRW83cFu2EfamCF2xyjVxtxCKbCb9AzxFGRcj4zrMZVxGElm9ywZbx+DrokCsSNgSCKGRiLrNqVKM5WxMTVB1vXV6TqecxDpYIRAylcsaKQqle3qYvCnVzdVzoUdgT1qKPv8T67hu5/+IH///VU10+imyZV3bJzV+3othNgtXJMLf2hFNS75zod478d/1NR1jqd44a8uApoz4Cpg8TknseVPt3HRdXfw5iOW4WQbb+h88H+/31R5nuq44tu/B+DUj7yh8A0AZA2Ln3/p5xCJYGgCSxd0BfS65KHukDmnhNZi7E1VBjELw2rMkNydUxTK5mP37mHs0TpsT0Vmjj34omb1VjN8565SOJ6HLvfMzkqzaqlp2yNoaCSYQ2m4FuAqGE3Ze01Nfa4/6aGEzVDCJ68ePK96xAM/OkPtMSmoCTTPw3U9Ht/m2yfecNhCZJ25Ysr2SpS0ArpEk6JgdxBl9pD8n9UIlFnXoyOg5/J1CZoamvDpziNJm4ipVQ27DT4hqxY5uPxYKyThcv6SgsKGf9jQ6M6HJM7BkDA/ZqFLWbAZzI+apGwXKeC5CyLsmsowHLexc0aWw5d30WFKJjv6iE1Ms78raXP1oYC8heWMj72BkRvvrEzTRJYCQciQNcn95Rmd+I0PtlTOmXyBzdRESZrFK6sSQKvB0WDrQhjpyTn7S+jreQG7Wi8mm8YzrOlvPeJI3xknYcyAHFwLeSqOMTFG3+gOhrorCcTQ2DEl/rZzib/tXOafdRLmzu0ldexpGlt++ecC8bHs5iWImDqTmWn7X9TSmMq4dAd1xtNOThHWb1aKacevly7vKJknK+DmJ8cBeHwoycKYxbZJ3076z40TAPQFNP71SO2395/D3sADK57POy89r5BncTVkUYwrj58nptjsOizVDU4NRQjWGWOVUmSV4prEFJ1C8gLD5H3dfYSWLkds2lDzurlCpokP/VM/+CULYwG6giaupxiKZ3EiEfR4vOG10BqR+BcXXMPRQhK1/H7RVR6upwgZPhlwWVegQOYTQMDQCBoSkVMzDZsaU3X6o5ilV/TVo0m7EG69N2yU2HCVB7qU9ISmqd+ecnlkyB/3NCnoChok7cbrX/BJ7D1hk9BLD0crk8NVyQRLTz4GBez66S/wFq2gO2TUJVwWo3wfI7/HUDyV0TVRYsOMWDo7JjO86MB+tk2m6A9bBA2dSSHQWrR15ni/DE5lcZWvaLmwwyKgS7Kuh65BQNdwimx0ebJwR8CkK2gCcM+OCTTh7/EIYGVfBFA8PBhnfoeVc0ifnfnZG1//Ov7w+2sbpjvlDa/j2j/8iVe+6tjCsQcXN+fUPnXV1TwY7mblJz/GlrGEb3t0PMbTDs89/dPcc/kXmsrnmA9+jcF4lomi/ZED+8O4nioMs15u3iYQeJ6HoQmffA6gVF37tacUtqsKNlRLlxQHpcgfF2WL9ayjeGJkiqTtETLrry/WjyRY1RvGcWE4lcH1PPrDFjHL4FnzomhSEDF1+iOWH9ky95oVvvq3q6anFAo4oC9SNMUQhf/n99yM3B5VoQ8qIoXmVcYRviNxxNKmz+HvI+pnvB5z44aafZjyXHjx83joS98uOE4cPC+G6ynCpiyMUwXkCresK8yiDs/fz5zp0qcWO7w8SRWYmqwaoah4vu0JgVTNR4JrFrVKnHUVqVvuRr3/XYTvqZx3K2DyxS9n/BNfghYdq4ohbJ/4XdxdhgxJJkeKB4j9+Nt0/eoKP33Z9fKB++g54Wj0k9/C+P97f+F42NLJFPXVEVMjYPjCTbbnq8R6SiGFIGbpOB7oQrKsM4QTU2hSI+t52K5HMusRzzj+t170zaYdD03A9iIhpUTWo7czyD07psfjld1B1uecClf2BBlP+38v7w4Qz3hYGmyd9D/upOOxeTzNS9Y/3nJd5ksWDRjsSth06BLX83hg2xRLeoIcHDERiXjLjoGr191T+LvZa/NfQyvzjXrIP9un3/q/AOwYTxM96Dl8+P2XTCeKx/n6hf8Py85FYfgWuMEw9pKlBB57uKx8ip4b/0jPjX9ktG8Bv/vczwAwG+xZtVp3swUnEuHGb/2aDxyzH0Zu0lSoY6X45/ox9P/3ebjnP7zltl/Qt2NDoa3aoQhPHHsKEyefwaqwxesPHiBo6ORr1dQli7tCVZ+svFdbN5ygO2gUyqDLmUdgaaONNtpo4+mDNkG4jTbaAHx14Lx5pNrmkadgRXeYJ0cTDUnCYUMjaTsEdG23uARSUFe1shp0KQpGyel8fKOopefUzxz/70wdslA+FCBA0nZJ2r5nclCXDEQDRCwdr6xoxRNwUxMtl53c9a2RgxtXsKdgeVeYBwYn9ga3oybGUw6LY3uFb1IX8Zx38N4MDd5GG/sKMo47Y2eP8ZTNM5VxFSgaQ8An7aRzY0IzanaO52+suZ7HZNpBk4JfXHANp37kDQRT8bqqUps+8RV48cuaLqvvaT7z/k7mBr98GZp54+/7wjd53xe+yW8vuYgrvvnFghGsf9ESvvt7X124fOOl2EjZbHmLU5khnQStKYxYMV/VRXkwOrql6eucyamWjJACkGq6XVx5x0Y+csrL2fz4wzWv+cqV17NqzbObLtPTAb+8oLoq0YH9IXRNsjBqNlQWXD/iG0c1KQnmIjgIFK5SBDUNIWaP8PdUn0XEm1AdejrBQyGf8m+tBuZKEqYo+2cStk6kiVo6SzpCjRPvQSjlKxz3hA0SVZRWZ9H/tGl4qrqiWCuwNEFXmcPZZNqpqjQYj8e545KvMbF9A/HXncwJp565W/duBsWO1YODg7z/+MNRRYaCUHc/Z//45qrX6srj5iJ54mMP6md5dwih+QTkgC750+PTJEYBrF3SQTzrcM+2SVb0BFk3nGrq3fqRPvyv9cglMYTw7RV5m0U+Ekheca47ZOC4XtUw7lMZh84n1xXKVQ/589Gf/4zEW84pOMDVQrbOOJ6wXRK5SEyvWt1F0lH8c8M4m8czJelChsaSTp8Yk3E8LCn4/d3bCucd2+WB4SSPfvBCzvvcGwtzzF6pEXebd6r2gHmab1bXgLu2TXFgGVl1LKf63Mg2NC9iMlRHGXq06D2YqeYIhbXQjLNiM2OG7SoChiyscTZffC1Lz34tnvBVZKvB0WAyCle/PqecqBRWGp5/4ld9h/ayogV1jZTt+o4SuXNCiVJFXc8rqbuhpO2P52JaFbtAwDB9Yp05uI3ZwvS6TNF58UVwyQ9YuHp/Eh88D3fVfiVpdSGIWhrFDyoq/oDkL39PEl+VtdhZN+JVuox4ylc0LYaUpcfy71xKQdjUcDxV0SabWV9ZumRlTxBPKVzPV8pMNxAiiMQHC+Tg8jsIIQggWK0bXN3rhz52gFHXRQqBTqWiq60UuhAo3eKSvvmlee4VcrDHXZlM3TSPDyZwPP97ydgeUsB/tsUZ/+o1nPWeVwH1+9LidXYjR+Enjz2ZpZ0+AXgq4+ZsEqXl6wvrPHegH1OXhbDq38pFHtmeI4Dv3xeiP2JiSEHG8XwiYI5surDD4v7ByZrldTzV0M6b9fw2amgiZytxClECGykJj6Uclhy7tq5zigAG3vom+MnlxA47rDpBuEoGxREPekMGC2IWvRGzUMGTaZtdcZt/bfIJ8ks6A5halozjMdARZGc8ixQCTyke+7+fseZDZ/9/9s47TrKiXP/fqhM6d0+e2ZnNu7DkIFGUKAiCCihmCaJi1vszXSN6zfmarjkgZkWCCoKKCCpIWCQvCxvYPDl17hPq98fp7unu6Z7pnrC7Sj+fD+z0CXXqnFOn6q23nvd5a12qJh4+5YVsKMlkEPHpKEVZVoG1bUF8+vRlXTffVf7tqQlMTbCyNcBJK2JFonN7yKB/MlskEi8E6iEHF3D+859HOh+E/ciB6xq70A+/DR98D91RP5Mph8Fkltu2jPO8l76SsWSap677woynn/G2T7PulPOmCZCsaAnWLRSiC7jxsf6a+w/rjlD6tnO2W3a9tOXkM0x6Ku1OnnD8YP8k7UGDtOWilDdu+TSJoclioJZZwsq3HcVgKstQXiG1PeAjl+8hbIcy263sa9LUNDKtQFYliwk8MnrOdotlqOL/Sjd4fyRyzrR1tvbP/A/mU1uL5VVDYZq64oNvZ1s+mOzxYc+ftrwlgE+bmb5gOYqAKUnnGp/p1EWarDE21uOS3PGHf7I8ryI8U989l7m0E6weHDWczBH4wtcZKfSjd90Opr9Ivl4ICLx5QiGAz7O1PPK5EBCegRxc2KaA2DU/xQyFSF92BUqB7bh0hAyEELT4DHZMpMtUgQvE/o6QUaaI7k0dBAd3hnGVYsdEioTu0B7UEULwu8cGuX/LMMtbg/TE/HSGfdz86EDx/GNXtTJcohB8ws0/5qDf/oST878V0HfhJQy98gqyjsto2kJTiu27xlnaFiRhCPrCRs37nQ1pzcffnxjmlccv5fYnhtk1nuGEVS384aF+fvtAP1/61usaKm9/8s2M+iKsWLaCSEuAaNjPHx/u56ilMR7eNcHnv3IpRokfvNAutHQSLU8OrhpUALQN7eYV/+8Cfv6/17O8M0xL1F8MeCsgu5DqWw1CAOLWu3hjexBTk9PWS4QQnLqug6vv2oG+/BDuet53OHZFjIztsGsyhyYElxzTR8Cs7P+8J7Ksder714Q3ZhQCNoQAy6Go5n39IwNcfvxSwDtO258aSBNNNNFEE/sMTYJwE000MQ1Rv8FklYUgpWBVW5BHB+Iznp/IOWyfSNWdhqgWRB2RvJVQeEqNOTsf5Q1FoqfnAPem3ge0R1BK4aLYMDh9gaWWcyhtu2wd8xx1nSGT7rC/eKzPkDiOiyZlXakv9yZsR3F4d5QHZ3Di7m2YmkfYdutQJ92bArMTGXuvKhY30cT+iPFUjieHEwzEZ17saqJx1Ds6uEqRslzaQyaWgieHU9z8fzfQ4WZ55hvPR7etMidT/KTTGLvysw3XR59nhzefII8LLn0TF1z6JpRS3Ll9kpyj+OvWibrOLTi+Sn+TX7Qs7FsW87O8xVMqesP7vspn3vj6uuum+QQrnx0FQGqCNWuOIWh4C+2zBUp1/vdb6r5OGfr7ocdbHP/ir/4MwB9//RN++tVPYueydPQs4ys33D63sv+D0B02OKw7jE/36JyF91GP7eUqaqaiNDTBijoWof4dMF+zyScF92wfn/W4rYPJvJ2tKr7HUvJOQZFJ5NWSBC0hA59pFPcXlgOmFsi833Iv5r5TCyWVsh9ikfnBezUUaH95RekZxoHkFz4DP/tR+cZXXkro3e+b07XqnQcVhvORpFV9LrMfxmxVq+aa9kDZPVuOy46Jcnt0dVuAHXnlJyEEd/3im9z986+WHXP1hvu4+tPvQ2o637/9McKVqpsLjJcc1Vt1e2p0kG+86BD80TYuv+rvZfsK9//+89YR0GRxsS+es5DC5m9PjRePLSg6HdcXw1Wwpi3ILx6qTVKphJfpo3YjcCtYHzOpLUb/57/L6l8PWq/+FvFXvmbWub+nbjSznaXwVNLcKmRJgIf6EzzUn+CZy6NETMnARKZs/2A8S2+Ln7FUjrGOHlqH+1HAS4NhvhafIF3nxxITkoN0o9jHTlQhSrrUF/S+cTg14367ZJHblTo0GPS2aCh9VD09bLvqBpZddj5Z09tnWl47yekgFGw4SPCHsyVZ/1Tr6R0JYGqiKtlGk15mrlIbL/P4w8if/gCUjXPRpcijj+WRgdoZwnQpygJeX/z+V85LHa30lisDAoXlvRf90YeIvu21DHziy2QPO6q4vxBAqkmBM4dJ1GODKQYSjQdwrW7zs6LFz3DSwqcLgoZWn6BBRRW3jKbLfgtgVcxHLYQT/Xzq++8pHlsLpcH5BtCt66RdlwSKIB6xQgJjroNEIPwRWq1UzXIrg2kXEyaCSbc6SfqoZz+HL/3glwwls0xkLDrDJhMZmx0TWSI+jfGMzY8+9xsufe+Li+eU1rl0rp+86Q4CF5yJNkOWmb9d9CY2n3EBjGdY3uKv6deUQrAnniEaMPBretXjgoakN1I9ECpsSjKWQ2vAwFUeMbCoKpwPVipDvpN0lWIk7Y3nyZxDMueRJQOGZCy/BhEwBG0Bg9F8GdW+kmXPO7H+YNzXvhoe2DDjIaFf/YT2H3wNAawAnpW/7o7zX4X7xrcTz9hIIcjYLkFDIirmnJtGpr6LLaNpLvzuh8k9cC8HKYWL13brQWGcv//l5b6EauIVI+kcfZHqGQ6VUnSGDDK2S0/E5KmxFDvG0qzuCLG0JUBXuPY32ygOXLOq4XN+/ctfcOJDj0A6PfvBFdj8vasQF76U+7eNE/DrtLgOKuvyite8luAVr+c3X/4wD9xSnqnq2S+6lBe89SP556tY2xpYtFwbhbFlSlkXXFd5Ct0Ij8QFbBn1VJAjPp2CJTOS8rKIjeTtr7Ttki5pa0m8AKn2kMETI4my4BFHueh1t7T6YMi8onadE8lqXLzwLV4mqHqCyRTQd9Fz2HXNrcV7qzOZHemcW1cw1lxQiwhcr6jM9pvvLpKEa6ERm6TwSAZvuI2QJtGlQJOi2I8rIGZ633/WcUifckY+0Go65qOLU9r+WgMGCGg3JI6riP26Njm4eO18XQM/+g6Dr3gtACFTMpy00AX0hgO0BAwGE9kyn3PUrzOctBhJWqxpD5b57lyl2DmZKio7B02Nmx4fIYBi93iW3ePT1zeWtgXwh3ykLZelt/+OM3/59bI6FrD6uqtZfd3V3PKa97PsuefwVH+coUSOJa0BAj6dOzYMclbdT68c1/7PjzjSF2Rjf5yTVrdx3QN7eGDHBJYL5x3di5bde4H7C203Ba001/5tM5oUvOmiozlmZQvrnxrnK1+5GFnlenWR9vP/+rJpTvnGlWz/4OcYzBPJNeH1qz5dEtG0ssCaerEQbkGtp4fDemNl5ZXFVihFTkg+deGhxLMW8ZyLqQkGkw7bx9K84+RVRXJwYUwpfOOumspsoMvyrLtKeX1x4fMcS1kETY2OkBcUpImmenATTTTRRBMe/v1XP5toookFgRBgal6GGUOXdEZMhuLTJyBCCQ7rjrJ5JEl6hhw+lqPIOg5BQy9LfdUI5kIKLaRyEoKSyOXpBRWICkYNj2k9Co9DyRxdIR8gvAUNvJQ3VqW08H4C2/VSRz0+ND/FmZkQ0CU+Q1ZVGqrE0lig7raxt9ez/4M5Ik00MSvGUjn+sXVkQcp6un5HGdvFp4kZiRgzoT1koqGI+HSSOS8N7DN6I4xnLBAGP/nq78uOXxbzs7bd3/B1Yn59r6VInxkzq8lVQ6U6gLexfENpWuxjTjwPPSCw0/Vfp/doj6iTGLI49Lnv4caNI+gCuiImz+iNlKWCDpoawbyKmjZYP2GnFKE7/kzypa8u2/bcl7ya577k1TXO2PvY19+0AI5dGiWVc2Yk6M0FlqMYSVksCWvzUtUuYp8+rHkS/3NWXerx196/u+GyTz+ki82Tubqe8WmrWvaaA/s/mSC86IF2+yHxdF8g+fvr4cr3V9/5sx+R/NmP4GOfJvT8Cxoqt973Z+geiSpju3s1uHI+qNYPjKWsMrXUaiglqf30LecwsWdbzWNdx+Y1zz5wUZX3a5GDS5GZHOU7rzyOK352b3HblIoQTFoOjuugSY0/bRpl92SWmF9nTbuPzSXko2sfHcCnS7aNN06sWQgsueR8zAbtnMXqWmdr5ptG0jyxY5wtQ+Xk0ZagyQM7JjA0wT8++2NOe9crCI8Pc44/yFcTE3X1aX4El4QiC2IvKKXw6xLLqW3XlFbp8WedwxG3XVd/+fOo22yYphDe08OOm+9GveYEHnqGpHXMRXMF4y2CRw8WZALlq9hd/YqTX3nrjOUXyMHWG19B35YnCZRme7jvbtJKcUx7N+s/+ZOqZZRmS1ve4icysQDzXCERqrbfTwAik6b7yney86rrcKOxsv1zIQcDtD34T5775SuReaXrdDjKrz52Nfjrmwd2hAqKf/XZ0NWad9jUOLQ75KlgKoUEDu+L5vd6xpSrFGd9/2OseeJ+r5y6rlaOgJToSpFTCkMIskoRlRJTSJiBHDzT9oU29QoZb7re/nHefOK5nLA8SrAiuM12XUZSnm89OZYG5ZFgV7cFWN3mR4gW7vrV3/B/92sc/adyYqMCxl5wEfG3eCTrjlvvZjiZo/tNr8C3dYt3jNS47r8+R3ztYRXn1r5bx1WMpW2GUxYP9SfRqrgD6rEjXKWKgREFUnBHyJiB1KcYrCC4lyrZQz4roOspFkuqt0GpVEPvcfJNr4WP/C+GFMQCOjnbZTLrgKJMibiyzOU3/BR1w0/Zfs2tkA8ySllu8b0b0lsLWNMWYCxj89zXn4vfKg9IabS9VR5/0fteQWhytEgucsJhdl1zK8tbgtOUYAtwlGIoaXFIdwhNQEfIZDhpsWk4yaZhbzxc1hpgZWuQWMCYQy2nsGP7Uw2fc+nFr+Se7qVzup7zmU+w7eTz2DgYZ0lbiDvu387aZa0Euw3aoyYnveGjHPOq9/HIrilxlOMPaGfb+NR7Obw7tChEUpgigRW/H+UFPtW6XjxrY2ii2DfP5BMLGhJTk2WKqgVMZm16Qnrx25PCU5KfMgC8QBlRx3ctAFP3jndcVbeAyjR74JEHiuXVCz1Rvl6l1TiuGtLW4pCEdSHoCJogvKBnASjhrY+2FzKcCI8w7JaM7YW4OyUU8dvXoxIJwuefhbSn+sD4C1+C/9EHMDc/2VCd+t/2PnKOIlfDbuwO+ggY5bSPosKoEKBUPtjOJc3cxkZDevcvpWAyY3tK80DHOy6HOssrfC8tX/884299T9437WIreLB/AvCCxHK2i6O8LAaZvA9QAbsmM6xqCSGEwFEuT42lygLKXFfRFtDRpKiaSVYAh61sYyhp8cxvf5x1D/69at0LvxVw9g8/zT9ci/UtRxILGKzsCoMQxXo1gkJtxl2Nx3d697ttNM1hvREe2On1YUOT/+6iLQIpBK1hk5vueJK1y9t494/fX5UcPBeseuRuBnVJe9AgZTkYUrD+ySHG84EWLzh2aTFQp5HrzfZNVAtEK5wj29s5+N57ittLycHpnI3fkGwdTdMaNDmkN0rI0FB49o+rQNemQqC8DD/1k3ott1zERZOCy49bWlZeE0000UQTTUCTINxEE02UoBDJrCAfpTadIFyY4K5pD7JzIl0zEs9V8ORwkqVRPzH/3FJXzTWtPdS/kOq43oJBqQ/Gp4titOlMCBiSkXSOkKmhlFZULN6fMd8UrzOhI2jQFw3gKBhPz65UHDT0+hevmwzhJprYK1BKsX7H2L6uxn8EIn6d7AypgmuhPWgwkZ4i54VM6aVGA8I+yR1bJ4j6dS8NbxGNd5I+XdIbCdStfFENfkPjyCVRElmbzaMzK5/NhNnSiM4VpfcWNDXOfsNbuPHLX5/hjPx5huDoizvRTImdddl1f5JDj/P22Qp2T+awnElOWhEjYznYriKVc0jlbQd/Tw/6ROPfUfKUMxs+Z29jX3LOoj6NU1a1lBGzFxpjaYtE1qYtZNLuNxBi7gT6fWlGzJevtH1k7t/zTDh5XQeTTnVSYDU01S0WBv8mXNG6sJD3Mp/2VXlu8ppfwqc+OvuJV76fZCZL6KKXzf3iNTBZknYVmEYgqK61urhoCxpTxJv8QxNAa8BEFx754MjuCIgpJc7NY2lu3TxaV/k3fvYdM5KDS/H+V5zDrx9oPKhhNnz5wsPrPtbOJHn4ll9y+Nn596+mnknQkAxMZrn2X7s598ge/LpECo/k2ubXSOVTJw8nvCTSGoICD03htcmQOUWlmMmyMqSXyWdqLq6K9TBKhr0iuSH/u+vylxTJwXP5fArveKaWmLacKnZuDVQpqCfokb/2jKW5eePgtP0dYZNkzqY9ZNISMhicyHDv136N3b+N57z3Nbwv0sKnJ8fJzlBLP3CkafKiYLisGkpRTB1eWjlT98gNpRAlTzBlufh1ib9ILJxS3BclZQTzZe96zds54rbrGnJZ2CvX0JNXjfQbkoBeSrsRJf/3/nCVS1vQKFNpFqiyzk/g+RArBQYVwC/W0/Gxs3nswFEGuwTSBVsD6ShcAZoLvf0ap7/yb+XXLkFb0CgGgxlnHcsKKT1ibkUHHAAOHx2k+4rncNN3ppONC5kOTE0UhQDma14oIeoiWuHYhG++gcmXXjJtlyG9hfx64L/9Vro//QFWVGwPJia47J3n4wjBj794/axE4cI3H/HpuK6NNYvPVRNwcJdHMpRSYDsKXRP5tggIgVKKh3eV+/+e/9efzIscXIAhBEb+fZsl732u7rpq/c9c61cgif7ptLNY87wXIfLksJGUXZbmOesofPlvWwMcFFoFJdVvSB668LUMXfImDukK0hb01B/TlltBJvf+Hvjmz8vqou1OQEWfqUtBS0DP17X83ndN5BhI5nDzhKuqCsKmRsSnoVR5HweQzHrKv47r0hYwSFp28aBUzsGnibLn/NRoAheB4zoYcvrY4pb8XVDZBo/GXsnDX3rhGdMrOwvcu+6kI2SQtV2Gk5anpJd1iJ52TE0l4tJtKy56Dttuvrv4O6BL1rYH0KRg45A3Z7rkzWcjq5zbCArvaM1fruf43/4QXy5Ttk8AMpFgxTknMGGahP75IOBlwTHyCzpKQSKreN2xfWwe9cjA3j0bZXahT5OEfPo8ajt3qHmsS0gg68ILjlrC1p0TPLJtjLXLWsuOWcx1j7lgtqUty1Gziqx0hAxSOSdPHJuOwUSOkWQOXQoMTZKynLLrHtwVxpCy7HUH8v14KaFWCs/eyJQOTnU+zsr7XPqh/1ffiXkUqnZgR5iM7QCKoKlXVSYGLyulolzJdjFIwl4GqtkVXIOGNnOmMc3P+O//VnXXinNOqGtcU3j9Yva8C2se49NlVR+Wq5jqfAtVEgJX05AzBKhVw+TlbyoSMIOGxKdJsraLLgWBjY82VBZA7PfXMP7W96BVDEZtQQPLcUnnxzCfJpjMTr3btOUymskRMXW2jqXK1pH9umT97jgj+W/r0KUx7i/JzALek9CUYsU//1STHFyKQh/9rB99gcnv/4ljVrYigLs3j7CuOzKn7AXDMkgqnSMW0In6dYKmjt/QOGZ5jIztMjSRJqmbROx/T6LwxPI1vP6io/jrhiGUUpimzorRnQtSduE5J7ZvZiSwBIBQ0CDi14vtc2QsxW3v/wbP+fSbGy6/2jepKvaVvnMhJSvv/ifhfFbAYsBI/phv/nUT1z+wh6OXt/CCo5bwsqOWUDrXU1BmR2iyMcVfpab3w1G/Ufxbb4Bo3EQTTTTRxH8+mgThJppoogya9JRmNSlmnFQrJVjeEiQ+MDljyp898QwtfnNOy5GW4znxG1UVbAS6FMX6awJag0Z+8W3myfGqtiABTSPo00jnF+vqEB3e51hMR1lfLFhcMKgHG4fjHNIVrUtF2P2PojY0UYnm290/MJHO8fCeybKI+/ni6fxuk/nFsZlUhE3NU1gqPPIWv15MKQiQydpMJh38PpPtE5niuwkakiO6YwghUCi0OXh5eqO+eZGDwXMoZ23FQGLuzkqlFI8P1U4LPF/4dcljg0m2jWdZccqbeUb/Tu7/xfVIHSqzwWqmAAVHX9LJkiNCOJZLYtDiqHO+N63coaTFzvEMUX/5dCpsamQ//01CLzyt7joWW0jekdhEOTQBJyyPETHlopKDC7BcxUA8y2gyR18sQMiY25RZ7IMF1wLma+4FzUb0euqHoWsey35/RNNZ3kQDEHgEuuKvesjBBXzqo9AAQbjRobqasthCw9AkmiqhHJesoIVNPa+0BUYVMl95OQKjorvR65C2Oao3TNSn8Y27/9RQva84+1h+9Of1BPMpO9OWM2+713Uae95/+/b/TBGE8/jk7zcCEPZpJLIOui6x82PPPVd/gfuu/0HZ8cGVR3D4G746rez/eu5a9GpSkJV1xrNXKgkpQzO0nZhfx9y1HZgHoa6OY1JeSqa6yhvPTNW3QJ4aTNuc/8GLiY1OJwenghF+88VrcBV0lGxP5mxu2anx27dfzZFLY/RdeixDylMrS5USffP/nuEP8qFYW5n9nYi1sSTq46aN9ZHbZ8PyFj/bxzM1948sWUn7nqdmLafwabZcW559JGRUPbyIjOPQP1Jun7cHjbJ5SinCpjYtyL7vPTfSBzxxxyfYMnATtqaQClqtFp758j+UF1ClUVmOR5CUzzuRXun1JcOOw6RyCQpBt/QyPhT6mC5N46w3nMmfvv3nsnJkvk/pjvjYMcMzbQTSrc8eldks0et+UZUgLAvs6lng/8N1dH/lMzN+d5pSXPbO8xm+6e+oPEnYVXDzxpGimmXUp5FzXCI+jZGUhVJen+PXNXJ5KdKU5ZYRbExd0hMubyyV5L5q89CzH7wFWDzTaj7lFggbtpTorluV0FN2hzWMaiUUyR/9hl3JKIx57UqKAJtGaqu7n3NgG041Ozi/KWRqHhkt3xe3BQxG06XfXPU7bwnoTGQ8YnKBsG+7tUmHYxmbp8amvoVqw64AElkHU/NIhQU10UpI4ZY14yVBg3jWKesPHFfNuG4wG6J+HV0KTxU13bjfQOA907agQcj0VJ37Xva8muTgynMVsPT8Uxj9wz8QQNp22TSSJmhIVrcFOOFVz1kwNUSAZ13zzRnLEwC5HMljDiG0/jEviyKevZizFZoUaFJDE9AWNEnlpsiiQVPjscEkZxzQuc8ySbVJOS9Njse3jfCbax9HpZMsaY1h2Q679kywa88EQggOX95Ce0uw+O4O7AzRE50Srlka9WNIjR2TKbK2y+bRBK5LMVhNKVUcN0KG5tkl+X0hUysGYwmgO+wjbE75CkxdlnUZHjlM0hv147oKVylU3n52laf2rJS3BpeybNoCviJp3/tPMJaxGMorb6ctd5rITQGOgpAuPXXsCmwY9JR5WwM6vZHgVFnS85chFDlb4SrKycHM3acrcnPzERpSYphe2zQ1SbpGls5aa4Vpy8VvyGn3MVfsDRfBtk9+lRUffHvN76KUlLizJFihGkIN+HF2TqaZ+OUfWXHRc+omKAOMv/Sy4raU5dIa1OgIGeycyNJbRzmlKHynIUNDl4KoX8PUNOIZCykojiVtVWxQny6YyFjkbAfXVcXAq4AhuWdHnOGS4y84qo/LTliR7x+9/6QATUoSl32h4foe9etvoN79AXaOprjlUW/O8d2z38QVt3yzgbuHr/3XN5nIKBzXZiI/ZscCOkevaGX940MA/7bkYIA/vPcryPynKITAN7DV+3sBr3HEd77Eznd8HoBUKseOkkxDw4kcd6YinE59KsIKyHR2MXTauSz/9VXFbQUIQHZ0cPD967l1wyCnressm3uXkn0VMJm2uP5fu/jLxiG2j6Y4cmmMV5+wnMP6YghgKJHFVYqO8NT6jCnzCvANQoipwM1S6A0SjZtoookmmnh6oEkQbqKJJspQaizHgjqkbYSqcAiUWLsHdUaKCzMZ25k2WXMUZF0HUzZGNDA0j1axmORggO0TSSI+DZ/ukU7qWVBdEvUR0LzFiHRucVIYLRYKykOLgQf3TBDQJbla4d0VsBzFk8MJVrWGFq1Oc4HnWG3Ompp4+kApxUA8wwO7Jual3N5EOdKWS2vAwM5YVR34BRWXsKlh6hLHVdNU+f+5eRQpBY45tTDr1wXH9EWwHDevltF4f9UeNPBrCzcN6I36eWJ4biRfIUTVRYyFgFKKu3dMlqUqP/Gln+Kwcz/AjZ88AyeTIzVqoxzwRTRWnhJh2XERNFNgZ13i/TlE6tV0rTikavn/2pPgxGUxpIRWv46jPCVh1wxQ0LGp9+24DdpJ+wr7YnR0FIRNueg2YSUsVzGezs2ZIDyX9G0Rn4bjKvx5xtx42qqHO7Lg6GsLsmlw4Yn7qYwF+v7pgmim23v6YT6fVs5RbBjyFttX/t+nGz4/+YkrCX3oY/Oowb7FmrbwopVdzzRMAOv/2hg5GGBsYDdSimIq9PagQdink3NcJjN2nixUf2dw/ZWvabgO5ShvhYm8PZSzXXY8cic3fvx1Vc9KPfUQd7//NFqPPIsDX/7Bhq/qKhomBoUvfC4wNzugVD1pIdERMjm8RzCRsdk+niXUv4OLPjb1zCoJf8FUnIvfdDY3v+Gj9B/5zKplOkrxkusf4QWvO5Pbs2muTycZdhx8QnCCz89LgmG6S2zown1d8+mfoy0Q+bQe/O7D3+aVb38BZj5V9UyEEu0Tn2+4/Ebfc6XqWykOPOVDHMiHAE9hz3HdGQMoC7Acl5ibI+g43JRN86PEJLscG114Qf5RKbk4FOaFgTChPIG4T0qMwZ1YXUsxpMDFWxQHGIhnWRIxqxJC64UCHKmh10kQBtAmxiCXA7M8s1pB2Xg2dH/lM7MeUyip49xnF+u5+1NfY+WqI9iaJ4JWm28lsg6CKdXWgC5xlUIKgRCe2nggryRdmKdW+sqEgKVtnpqqANbef1uxTvszpOvy7c9ez8u/+35imzaUvQkFJI8+Aau9g5Y/31h2niU1rJtuJ9YeIzGRgSfqDwqo9ZlUawV+XZLI2RiaKJK5h5O5MvKH5Sr+/tQEfVGT8w5qx1WKW54YxVFeUEcq5yn9Wo6a0c9TjQNdUA7uifgImwZ7EmnG0xYrWgIoBAKFEjCRthlPWyhgdVuQoK7TFoBHB6dUpefTFpRQTJbM5ZfPsZwV55wAQARwEcgGRyUtm+XGx0cAWNMeADxi3JbRNKc0GCg0G+omGytF8sJz8f/m96SVwq97mQ0L/fHBXVHv3YY8wlxv2GVFR5C+aICr79vJ5Scs9wjgexmt8+wdlJCEwz6GEgn2jKXJWi792SkC3UGuIlUyxsgS9Xjw7B+Rz2KRcxRaNQJ7fkNBjbcAUysPWO4oCfYHMBTT1ocEktZ8Zk1TF+QaDJZ13Sn1WgUc1hMlY7lkE3HEr36OsHJw6eUEQyF2TtQOUABo9RsEDK+fz9oKxwXHdauSyuYLZfogM/esREop7EoJ8TqRyROphRBokmJwgyr+L08EtNzawSF5pOw6MlrQWKYWT/VbomvCU30+9WT6v/9zul/7iprnOP4QO6//y4zlBgxJi3+WCLA8dM2znwmHsSMx9PjEjCThwt0lL3ldWXspVSf3zyOzatJySFoObUGD4aTX5rNJi6hfx6cJxtMW3WGTnKOKY+lExibn5pX2hReH3hE0ueXJkWk2T8DQiOSfTYF8j4DcIw/Nqb49N1/H29e9iMN6o8VtDx90EvYt36QebXYFTERaCUVDRKXgqZIMXqvagxj5zAMf/v5/QR3l7W9QgG2YqIynbl7A2X/+2YJfy4xP2RtWfk163ZIIG/fE6Z/IIAW84x0/5qtfubh4XOXzLLTvtD/IMffdgyYl7hf+BynhJ1/4IUelBljx+suILllSPPbMQ7rLynOVYjRl0RYyGU5kuWb9Tm54YDdpy8WnSz5+/qE8a60XovrkQJzJnMWeySwBQ+NvT43z1pNW0hE2sRWIfPP1SOz1PwtDet+mq6YIw00/ZxNNNNFEE9Wwf67ONdFEE/sMQkwZxT5DIz2RmyXyVtCSd3Tk3OkEYfDSj5mB2YkvhbRYtlINO0zmiiWRALvj6WL6tnoQMvQyp3jactE1UZcS7r7GSHpxo07TDSowpSwn76yZ+bi9OZepR7WqifkhbGp5lQIYS1n/do6Of2dYjotR4l0YjGfYOBj3HINNLDjG0ha6FAhV7i6WguIzT+QcqKGKuqI7zNbxbPEb0QVkbMUTQ6n8wtTcxp3WgDFv9eBSzGf0W0xle9uljBxcQDgc5mWfvodEIsHt3zmHvmNMWlf6PRtIwdi2LLvuT3PKK64l3FVb1ddVcP/uOIcvCU9TTdv9rivp++LHZlXiKNz9jh9c2/gNPk3gEeL3jY01kbWJWRZ+XUOvkqpxJsgG7ImWgKeMlch6apapvE1qSIppiRsJRpvv551S3mLVQgaNLGsNEPAbWPupgrDlKIL1rafVRKN3Np8Uu03MHws2Cv7u+sbPufbXsJcJwvtS1bwR1PNZ/Gt3gm+954p5X6vgu+gMmbQHDSYzFn1Rg9NXx3CVwHJdco4iZEgkgrTj8shAkkTWwadLBh7/17yuLzTJ6o4gkYABeSW5R3ZNsuOx9dz4yerk4FKMPfgnHrcyHHTxxwHI5BzCAS9/uxIKoZhhQGis/9HHRho6vhLxk06b1/nV0BUy0AR0BA0OaA+w7M1nAzOni1fAOd/+KFdd+aOqmRse2TVJZDhF5pwreNUfv8dZgdCsZIn1zzyn7PdcsbzFs0VHa6j0VuJnX/0dz//EG+nYvbXqtRXgfuMHhE+sToZeSNQ7nKUsh46QQbYyMF9NPWWlFClL8c8dCdovPpkfJ8Z5yrZJ5+8yl7/YkOvwjfgEP00m+G57F0vyxO1TPvpanvzZ7UUF5smsQ9SnceKyKDnHZfc7P0zflz7e+D0CyjBRUoPszCSscgiEO7ecWJ3vfVO+hHquUo6+D7yNXmDrlT/CaVlR87zSd1fw5xXmZ5bjAA5tgdoGUtZVdHdGir9fcN3/1VHbfQ9PDVTnd2/9PIfn04QbUtBWYgxOpiyuOvXy4u/lHSHCYT8MWTA0PC3jRsDQ6Iv6UCiU8jL9jKWsIiG+klwdNDwbP+rT6IuatAT04raMXa7MWxDRLNuW/7tAdszaLpoUOHlF2daAXvT9OEph57e7+XsteCgkAiEVmpQeORxPwTBjOeyYSKPLDDlH4dclfl0v+hGkAA1BW8DwgjAMvdieDu2O8OhAHICWoFFUNi48fKFACY9obDme6m2BxBnQp+i7C+WfLS2lUHq9JRcI+Gv+cj2bz7igrLM/6/8+1FBZCwkFsG0rjw8nMDXB2rYwlSNRoc3ZjovPEAwlMkRMjTPXtvPxPz7JW569gp6Ij3robIV3++QLXkjuwQdRwD+6+3g4l+M36QS3ZdLU41W84P2fge9Pz4JQDwTQ2xpkW2cv9zyWwG9o+MJ+Du/Q0aREKTXrPFgBSrkLFHzc2JuvaU/k/YWFtub9O92T1Bk0mHj9ZXCPpyJbDMD67jdJAC0HH0Lnj3/Fnsk0IKb5qGwFadtBlpSr5xnpsnQcLmHRVntMuiZ4tH8CKb1gkmqBgzs/8b+sePcbatxxbUxmc+Qcl3jOoTfiwzdHYQPHe9GAmFfGT1N66xezZRyptyXo+T7achzIm0IRn0a2bzXbb74bEgn6XvMiZGIShCRx7DMZ+9gXMWpJR5dgRUsQrU6f1XhmirS569d/pO8lZ6HHJ6e1utIrjj3vfCZf+XpChkYy59Aa0MuFlubghKoMIqz0jziuAk0ipcRWqhjkWYqwTy/azmPpHMctjaJJwabhFF1hk3/umCRsap46uBCMpHPsnvRsxL7/eltdhN5SlB775GCcFz6jj1TGYmgiw4+/8FsuffcLkVWOLdwvQNwMceVrv4o7lqY35idoSKIBg6CpY+oahhScsq6TrsT85l/7AoV7fM9bf4C9bRzwyOutQROjgQC7erH12FOLf/sNjecc2s24rXj5yjbGMzYPbx1h13iGz3zk17zhus/S+tB9xeNFyb+t738/vW96Y3HcLPhzX/3uKTuwtJ8uPV8Bj+2Z5L9/8zAnrWnnto2e+vNhvVEO7Y1y/lF9dEZ8JLM2H/nto9y/fZw3nb6atrDJnniWeNZh+3iajrDpqcu7Kk/wFSjy/XQdyPPePV+Amvq+mjpYTTTRRBNNVKJJEG6iiSZqojAny1guAVOSnoP6bEfQoDVgznqcmSfY7m0CiEDQFwmilGJ3Il0zBVsBnSETs4rajiHBXvys19PQCLFK1yC7H5Iy9sQzdIX8Mx6zV2ud97nMI/D5PxpBQxYXGQpqJomsg6mLohL3TCSm1oDOWNouOiql2DfO9Kcr1u8YI2B4afEmMl60chOLC9tV+HRJ2KeRzE6lsg5VSe1cgFKKtK0YTjtF59SSiEnGdmkLGrhQk+DryzuvHxtMctzSKJMZB8f1ItlXtPpRwEjSYklEWzC19PnozgwkFjEV+iy3Fw6HOe+dfy/+3rHhLtqWHc6KFWGOPHn24oOGxK9LQlW8dfZZ5zFx753E7vjzrKkC+9/2vqoklf0Re9uKOKQrSItf2ycquuDZwtvG0rQGDHrCPgSi7u+mnsUZvy4xNVGzL/AyrXuqPkFDFlVvZgvImi/x1AVaQwZD8dysx86EFe1BVnQEQdNIOorJ/dAOLWA8k2PTyCL2R1VQmua1iX2BhRkDZwsEqQVbuUjErAE7Tzceeb2mievMLbit89yTsds7yL7rg6jjTkAKGE7mphb6hAC8tLM+TeIr4X+5rsKyXaI+jUTWmfeYOGkrOtpDOPkWpANLWy1+8/7X1l3GxGN/K/79uwf2cOYRS9gdz9ERNJACIn6ddIEgkidjRf06AmgPeUQ4x1WkLYewqTOSsmgPGmULnoWXMpd2XnhGY1d+dg5n14/eF54C1J8u/pKPXcrV37gFgJawj5MP7QY1tbD6kHYmX81J3v7X78z4nu96zkvZ+OL631dbQOeAziCjSYsnR8pJpn5dMpDI0R32FRWwZrqPZ6+MEf/+L4gD0R9+g5abrkXYFnZLK3u+fBW0tNAXndnPUsBkNsdEduqbqnb9mZ6DqUuiQkcpNavNlrFdIsUPq7AIP7XfcuGenZMk+/v5+eQoQ65DrdE5gydU8PqRQX7R0UNYSrpcl1sr1JyjPh3LVR6R8rnPR+UJwvW2aU8Jzceer1/FsrdeUudZ+XN9JoFwkKBPw3ZVmc0XMjSSlkPI1LBdd5q/LvjQ/Q1dq4DS+7rsY5dy79evgbZlZccEDIlf15CSaSSySswsOC4qfv37DFonHNiRJ9e6tPh0fn3PThyl2DzkZdHoifroz/tLdCk4eFkLe+JZ+qI+dlXxo/RGTTqC5UttSkHKdtk2lik+qdaA1x4LqvGmJjiww7MHC0GClf7Iak+14A/eOZFlOJnj0O5wUbjCVTBWY34hga7wFBE66tOYzDplAYshQxI2vReftV1MzXsGpTaLq8BfkhnEkAJXkVdmnepDJtIWs8U5hk2tqMxaqtCqgEcHksUHkH3O+Rx46w0zF1aByu98rtbfQXfewuYzLkAIWNseZNdkhiWP3jvH0qajknA0G4okpbtuRz/ldB4bipftP7gzUizLdmHLeJJUzqE9aDCSsnj2qhjXPzLAM3ojHNwdIeKvpMkpcrbLUCLLYwNxtPV30/nfby27vikkx/j8HGSYvD8KHxof4c7czGr6F1z+GsQcCcIAB/XF2DOe4vTDlrBtOEHEkAynLHqifnaNZ5kcT7J9T7w4H+7UVrI76MNVU8T5nO2iS/IBsdQ0thdiptAe0hlJ5EDIvI05/VobRxJFldtKtASmvrHQqcfCTKq6Gx7DOvYwVv7rMQaTWXKOFzRQ8NFvH/fsjiN7YsX+YzRtsWMizaFd0apFVtZYl7BzPIWtKBJWHxuMTz/xsKOA+udJCrAjUXZNZMo2ViNYVn+KiwNdSpbFAmwaSc54zYChkbZmDwaKBXRGSki1LX5vPCgiHGbXr/847byoT68qyjR1fVlG/J4JmoTtY+U26Oj1t5LesZtll1+IdMvbmB1rZdcvb/a+KeVlHdg1mfX80iXH9UX9CE0Dp/4FUgGIs8/lsK4oCs/3NZZOEPZpmJp3RxMZT3hjMm3Rlp+jKCCetaetIzt5h5nrKFa0+ukIGbQH29k1mWZlSxAhBC1+o0gQFokqbbdOHLk0yraRNNuGE/S2BIlnbXaOZ3jHO37M6XffwIX/vGbaOS7w1cu/jHnACsLjGSYzNq0hg56Yjz0TWTKWzT1PJTl+VSuhiL/4jPZH1CKTu3iKvQd2BElkHcZSOdKWS3oiw88PO5d3b3lkwa4P8MTzX42pFKYuvYwY+e9pMGUR8Wn0dEfpWxLDJ+GHF72f937nAPYks5zYG0LhrQvUA4H37cj8Pbqu9y9A1nL4wh+fYE1nCKXg4hOWc/IBnazqnMqaq5TiB//Yyn150vT//WULb3nOakKmxrnr2rEcm90TaaJ+nXu2jdHX4mddVxTHrZ8g7Kpy/RlHeeuuhmyShJtoookmmihHkyDcRBNNoJRnQFYa9qWKuPUsTAq8dEulAf690UBVtSK3ZOFAlwLLaSQZz8JDCEFP2M94OlHzGFOTtAfN6sSQOtMDLjQaueLW0bmndlpMWI67V507s8FyFP3xHH3R2YntTzeE84vh1bz7WcdzEmnCS9er1JQiuWAqvU2yYvGp0Pc0sfjYNpospupqYu8ia7tkbZeAIekImcSz9gzkYHh8OE1/BTHP1CV74rniQt9AIsszeqMEDYlAkHOcfMpowV3bJsg6qpgGs4DHh6fGgdNWt3JoZ3heJOHCmaNVVBzqQdZxeXxo/xmblh3cmMJaX8zP0hnGivEPfJLxs1/I8g++vep+Vwh2fOensGxNQ9fdl7BslyURkz3zJI7Wi5wzO9Fkb2AsbTGWtljbHgJUuQoWU4R9lVdXUsBkZvbvIue4GNrsWTZcNUUY6AgZZBx3Rtt8Icj/scDcCMJrOkMsbQ/iSEnaUSRhVrWbWuiL+r3Ut6K2UkfZH6KgdlRy/yWBSFMUt/J5hwBG03t/fEzmHHKOg1lHG5gLHOUWCRppq5xsMRMafVsB3RuHSp+15SiGqtgclc8dRHGxQjC1cOHTvZTYIr+jtEW7hYLm2cwHkzl0sfApdeuBAjYOJQibGstjwRm/2a6Ij8msNXXiHJFxHBSqODeXokS1SVVPjSsqH35xOxhycdptV8jgvIPai78tR/HHJ6encJeajms3/t3KbAZj906Md70JZZjs+r+rUctXlRxR+13kHEXWUWTzC9/tqw5m6MkHG65DuymLbd11FVu3DrOsN0ZXZ5T+O3/fcHnrP/0Sjnn/rwF4ZMAjts2kQrumPYBZRZUxa3vnVCMg1Ld0Wo5Ci9p21Q3Tti00tGz9QY+C6cFtqQpi5jEHdjKx/MX88CUvYvWt13DKtd8r2//keS9l8JK3smlkZiXZAzsCRH16kYzn1yVjaZtQi491nR4h8J/bJxlOWWQdl8O6QwwkcrP2b35DlilrJi5/M4nL3zzzSTWglGIgkZ2XmmJhjhk0NG7cOLPaWcSncWxfpGzbcNJT5/YIH973dfVbzsRQbk1ycAEuMO66XJdKcHE4SrWeaU88i6F56rDbxzJYv/oza1965oxDSSnR4clnn8u9L3o9z17RS+qYZxK8+2+IOpykSteJn3MBKdslZU8RP8M+HSlgPG2jS0Ey54UJ+EoZAPni5zPUFWynY996kadMWIKQqZUr/9WAJsqJph0hw2srecXLVAMZLvYnKAQxvw4obto4TrspeWIwwdoSMgdANKBz4toOMgj6U95z8OmSTff8hcdv/Q1LDz+Ro57vpa2u9q6EgJAhOaQrSDLncHBXGFOTZbZHImfz1GiqvH8spLbJw6dL4tlC3ae2r20PsGkkTcZWrN81RXSSAqJ+HcdVuErVDOIPmR45WKkp8rpfl8T8Bluq+JDbQw4+KRBVAiFzjkLXIGPbOEoViVyprE3BZJBCIoViVVuInZNe/+kqcN3q9XNdxVBJOx168Zs58NYbFsIMbBgyFmZ1W4CALnl4IIm+n5BtOn/xQ5KnnD5te6kCrcJrTrarGEzkCPs0lKtYGjVJ5mwe7Z8gZ7t0RwMYmiTq03h8MM542iZgSMydm2nLk4Or3XYoH0Xw2dZ2PjA+wt+y1UnC37n+L2hIiLXAxHjD95r50jcYSeVIaTqHH9RDqH8SKQU+XcNyFLsnMoRyWR7bNmU3PvvoZSSdKXsxa6uyfktrQKW60lYuqnDn5xPVsu9YjioSKWtdSQKzUSqXPv9klHLravcTzziUwT/8E4BglftTqKJycNZ2Ziyz8o4cBSN1+v/Gz3o+LX/6/azfa+Eaid/dRqxk+654pmbfdeSSaF1CPQux2hgwNNpDxoxj5kjKwqcJAqYX3B7P2FWvXCq+1B4yysjCM2EsZdGRP75aua0BozifLJDjS5+7m1fPLSjOV5ZhSIHV28PALf/0lEvx2nTaVrQHdSIK/vzEKCnbxRO6F5i6pCvk9fMRn0ZH0GTiN7+DC86t654KCH36iyX18f4KGBpDCe+77Sh59pXzm4hPQwgv0KZgx3pK4oK2PBm7UPZQKkt3yE/G9sY613FJu7LhOU5h/vzgzkkATumKMJ7IMjyZZrlfMuwYrD/1xdx36otZ0RZgy3CS5S0BBnaP0T+a4sR1y3hqPMPqziAP7Jhky1CSdd0RcraDSGVZ1xnGztls2jnWYM32PkrbkQN89NLPk2pfwpq2IEu7wiRTFoYu2JafL21bdXjxvIUYQl2psazFz2AiS2vQKAZegReUmbMcyOTIuoqtY2nOOKgTn6Fx5JIYofDsQZRS5LMliHKCrQRsprI7+AyN711ybM3xxFWKz928kZsfHSjbPhLPsrQ9RNpySFtOsc1TUjZ443ch7qrwzKXwCMulKI3vfGjnOEcsbcFV3jJukyTcRBNNNNFEKZoE4SaaeJpD5SPLqk0uEyUp5zOWWzbZqgZDahzQXj6tcooruNPh1wWOUjhVJqb7AoYmipH0ldAErG6tnqrHbwgyc1BX3tvoifgIGBrj6RwrWoPo0iNzCyFI5GxUPqqwmhN4MTGesVnRsrBprJtYHPg0SWIWt6Wjqi8qz4SFUjFtojYeH5hk03ByX1fjaY+05RIwFJbj0howcJUiYztlRL9/7UkwWKGqq5Qim7GLCw8AiazLHVvHi8csiZgsb/Hzr92JYhrTmfDXLWMMJHIc1BFkT8JL47e2LUib30Cv9DLNgrmk/rRcxV3bJhs+rxEsds+yaThFR8jAP5Pk/DEnFBfkAzf8Ev/6e4iffAb2Wectcu0WB5ar8DXYPuaDoYTFsphvr11vNmwaSWLIqnEyc4KrPBX+9pBBznaLpJiZMJy0iPp1Ell7UYmNEX/tdNKlEMCBPWGWtAaxEGRcRaJEUWg+8Osafn1xSIiVcNXeJwjnHMX2iRRr2yKzHzwHDCQyNdXjFhuWo/j7tok5n1/IOLHYOGtta0MZWaqhkrhez/GFc5ZE/LPawbbj1r14PBOytjtNJdIjo6mGs8wsjfmJ+Rbn2zQ0SaqknkFj6jpLIiYHtAfRNEHr/36PT76tMSVPUfEvVo6lV7ycnd/5BU4ZSbg6Cr6Ql7/rxfjTCS4DMl19jCuXG1NJfpNOMFyD5FSKf2wcKgZNShQbHtnF+SetYlLqXPuF9zZ0TwD2pJfGdDHnVHNt59uvuRXqVGaaM/r7gcbtvmf+8DPc9Zr3Vd2nKAS4Co54+5vZ9YYrGM3Y3F9CwAtUURC98JAuhlM57tk5iV+TrG4LkLXdIsHFzNtQSk0Fzp68MsY/tk+ybSzDcCJHynJZ3lqf8u9smO3LNjVB1lZ1kYPrVQCcSzmWC5MVNpBSLvWOzFkUP03FeVUoUtVb4SjYOpZh65hHWhtKwd8/9xsufe+La5apgN+94wuMrju8bPvkSy8m8K97EDUIcGVlSI34+S+dVpeJjEe6U0wRyhReP73QKDzv9sFtRNcdxFAyN6ticMSnoUkvy1vAkAwlLYKmRsDwgncmS3zFle98YPk6erZvXNibWARc+96vc6rIC2Nkcvx96yRnHtxJd8xPyK/x4A5vnnrMqjZG8v7eRH8/V7/1LChJkb393tu48wefBiD4hW9zwpkvqHnNqE9HF3IaqS2o6xzSFS0qxNmuZx86bp7cpjy16RMO6WFgMsMvH+pne14lWxNw+qoWL0hOTQX1+HRZRqTy6YKIrzwdfNDU6I/nuG9XnGP6opy4LMpgIkNfLEAyV90G2zzi+ZT6Yn5iPgNNijISS8Zy2FzhUz64M4wUkoAhPX+IKbFstyxgujPkkdsKJNaCbZap0qlsOewEVj9y914nCSfe8m5WtPhwFJy0PEbQWDi97MKYOZf7kbls1fF/MJErCjVIIcjaXoCpC0xmHPy61wclcg7JrIOhC+7aNsbD/UnOXdeWV4iWKAWtl70c6qifX0g+GWvnnKHdpCrs6xd9+heElq1jKJWj74934JxwhBccWMc9KsDVdOzjTsSftjl6SYRHd4zz5HiWoyN+Nu2emnNUmvWzmkYVJyy55HzMwf7i75b8v9ne5WR/dh1+Q5KpcAbsSWT59cMDvPLIHrrCnlpx1nYAwXjawVagXJuM4/U5Unh+FY+4rXBmmIv4dEmHyqLZubrbh1TKs41qZKnaMposGwcayaBYSorWhCAa0IuZKCrnE4l3f5jgpg2YWzdXbd+lR2/75Fch08jcrz6pGU0I5pPzQ5Pw+FAcpbyAikrRk1JkHUU2368FDY2c4+bfr7c/5teZyNgEDYkmRUPzOxfPD9QZNshY0/1G42kLn+5dcyxtkbNdbFdhSIEmBRnbZW17CJ+msXsyTUtAJ56xcRR0hEyGkzla/9/riGx4eIpUDFx3xcdYe+5zaPHrnLq6hceHkmwfz9IZNnhsIImv1wuc0KVHwB0JdbDE70dlMnWRwu1nnULO9bKYSAFOTtAdNsvsIddVXnYTATnbLdqsGdvFUfDbx4axHcXhS8IsiZg8Nphi+3iGFS0+Du0OFW3wkZRFxnbpDptYlsNX/ryZ5x92Kmevv7Hu91DAzsOOpyfmI2N5YiB7do7y+IZ+5LIWWlsCbE27POeeG3jhXdcUgxIV8Idjns/9ay9hLGWxsj2ILgVrOkM4SnH06jb+ce92/nHbE5x9/Apyml48b39bNVPAhgOP5y+vfi+P58m/Ajj18CVMZm2EEIQDJgG/genX2TaSxq9LlrUFSMbaCU3MHExYz/UBnvrlH3liKMWSiEm2ol/WpSSZzXJob5QDuyK0h01ifh1NSjoj/qq9gmCKeFsavF4NmgC3ZI1GkwJNTLlBk1mbHaMpNCm4bePQNHIwwHA8x9L20LTtXv2nAnwsp9yHBN51FFOZWUW+3gUB77VdEf6xaZhnre3wArFUM1tuE0000UQTU2gShJto4mmOSuOyFKkKh+CCkxCEwNoPUg0XXAqakHSF/ET9BpMZq0hyDBoafTE/Wo28el6izn1zH43Y9YbU6AhqdASniDZKef8FS9LCHdkTZTCZY0989gWPJp4eEEBbDfL8fxoylsPOiQy7JzMkcw7LYn6kFCSzDkLA0X2xhhQm9gdMpi02N8nB+w0KC3VjaS9Nmq8iV1R70CwS4nKWg+u4bNw9yf1PJHn2Id2kayzg74nnGlZ13TCYJGU5bMsvlt+/K86KFj+nr2oj7Jt9mlCoSVvQZE+8fuU2Rynu3DaxXwQHzQcnLI/OTA6uQPr8l5E+/2WLWKO9g7353o5fFsWug2y1d1HfYlS9UFBcHPLrElMTRZKMIb3va2VbiI1DcXK2S8pymczYZUoq1cqcL4J1kv9OOqCdjNSIzxAUOFf8e422+x/myXudH+bx8jQpaqrsLzQWgk+ZOPaZRO67q6Fz4sc/G/AWrvYWqpFHsrZL1K/juk55etvZylrIilVgertVHNwZZFVbgIyVX+JXiqNOPrPhsl/kD5b9LvTmfW+5hO2/+9us50duuZ7LvvuFsvMDUhJAcnE4wsXhKN9LTHBVsna62ouu+H+IsEly1FtMXRoy2IBHEOkJTw/MaJOSZZqORLDbsRlwqxMTzj6iB9dxGa3j05lL3zBxyetoufp7sx9YgtFPfJFwW4xsiZyRyhNinPwiZUHJWgCyZI7l0zRWtgaZyOaIZ6er26VLiAPhG3/d+A0BPZsKKW6nt+jOkLeIjIL2gEFnyITRFH1RX5HQo0tR9t1IIeiL+umL+jm8O8Jk1mKsIptAIucQNrUyYo4LHNYVJN7q57H+BAqPDB/yJNqmZeQqkL2iPh3LdWuq65Gvp3+azKUoKrNnLHea+lTNsuo7bFZU64t8mmBNe6D4TSYTtTN71ULSVey0bTAMIj4Nx/VIObbjVo9ZCof50TdugUSCV155CUbGmy9nA2F+8T8/gnB4estQiuwhRzB50auIXvNT5AwkYdfnY/RN78bu6W34XsouycL0ucFLX45+70OsaguyfTw9IylcF4KQqTGRsdk5mcWnSZRSjOaD1EpRSpEUwL8+8S2ed8np+yWhBaZ84JHDD2EgniVpufR0hOnpCHNMX4SU5bCyI8jqjhDDyRyRkElMCB75x5/56ZVvmLHsL7z7DRzxzJ/z4W/+rOr+Fa1BZprWTHVrgpTl4pT0L4mszWgyixBwTG+0SBBW3uFUpluodFllbYWhuUR9Oo5SPDWW4ZEt48X9K1u97H89kQCJrEN/YvrcXhPQEvDGqeFEll0THgHMr2vE/BrxrF01ULmyHeRsl/54uizocqjWnKZkwGrx6yxv8TP+8S8x+d+vJ/rEY1WDVxa67RVrsHYdAF1hT8XTUTB06Rvp+dG3Giqrsq6Ff7dfdQMrLju/4fqNP/+lGFVu+P49cbaOzqxyX4plMR87Jrz3ftPGkswNCS8gqt5nqgvB5aEIX094JPsz3/I/PPeiixlP2wynLDYMJtkaMtCv+gPHXfa84nnVyi88H0fT2Prbv5MbTqE0ScZ26Wzxc/pBnQT9Or1dU8GWB7b5ygJMs65ic97fJYDlLQF8Jfu3jye99a4nH6fl9a+qWh8F+HZvx3faMcR+cT3+Aw5AKJjM2fxhyxDD+Uw0o2lvLSXi02YM/I36dCaz9c11srZL+MJz6jq2FMsufxE7brqz+Ax9miRgyrwSZfl36iiPjFZNuEWKvH2mvO8xZXsCQo7y/HoFP0Zh3cBypsirQVNjzzd/RuhXP6H9B1+rWk9Xauz41R9p72rdL9cc+uOZ4nhp5RwMKQjmx8eZYOqClKXw6YJWn45A5EnjnvK+JrxsEOEKNf/uN70C/9Ytxd8KyB56FONf/i5hv8ZQXkyiI2gyms4V12pTlls1c6jlqqKt+tRYilVtQcbzdW8LGoymLJzXvIIVmx4vnlOwxSTw4u9cifrOlQz99HeIniVsHcvS6tdYFvNxUGeQFS1eQFsq59CfzDGRsYn+6S78ZxyPtKbaRikKrSy17jCGPvx5GE4iBKxpC2JKje6wn7TtEM96BObRGn4BXQo2DCaL49p42qY/niOetVnR4sd2FbduGuPMA9rIOS4jSZt7dkwSMiTjkxlMTfD7Z7+cs9ffWPe4Uaj7l89+O0e0BkjnHE5d3UJmcIJDl7eQzbm0bHyAr137+bLnWcC563/Puet/z40XvoWRFedwSGcQ3c6RnRjnqckoRxyyhK6eGCP9Y9y3aYQNRjsHW/WTaUu/4IW2wQpluwj++awLuefsV+XVpD0csjTK0piPnGuCgu3jaRwXIrrguYd1M2YpgrrgG+/8Nu/+yEVzqmPp/T3wzWtwNB/rOgycfDBMJKfxrJWtrOsM0xv1TRM/cZVCE+XBPQWV4MJ/9cJTrqaYQa5waoGg+6v7dvCju7aXnwMsafGzqj1ER9hkWVuAtR0eQbhg7nhZlxUtwSm/QME8TOdsco5LLOBlMiyNKywVlAHYNZbiEzdu4AeXHceSmB/LzZOJ90fjvIkmmmiiib2OJkG4iSae5ihEa09fh1NUilfYrvLUcq2FWRpwXHeBKRaNw6d7iilSeEpXQVNDWoJIVKczZKKUQApRTB1dDVnbLZazt7EYV7Rd6AqZe40g7NNnVw/e2wSH+SqJ/SchaGhosnFV4H9HuErx7X9uLy62VMP1jwzQE/Vx7NIYaztC+Sh2UTx/JJnDb2hkLZe7to+RyjksifgImhphn86SqI94xmZpS2Bv3RbbxpL7rJ9t+h1qQ5eC7eMZNg7XXrSJ6eA4ikNXtLCuJ4LjulgCFmq46YmYRXJwAdvGM9y8aZgLD+6qGRhTiUYITq6Cu7dP7pOU7guB45dGCZoCpQQLpxn074a9c99H9IT2Q3Lw4jpULVfhLwkaiAVMOkM+/LpkaTSQJ7soDE3i5hdBFisDg2HW5yroH8/Q1xkmuQCKwfsS+yr2p5L4tZDYp29kHhd3XEVPxMRy1KLbnwvx9Ec/8WUi55xQ18Ji4bGMfeyLAMRzFhFTB2rPNxc2HGE6JjM2pibQJdPm/7Uwn35QKVUWXKvyD67gF7Dy/b4uPTXhoKnTEzFJW9OJFsc951zuvfWmuq/9vpb2adsEgJXD9697yR59HDWf+CMPcHCeHFzt9n35TEOXh6JowPerkIQ1w+Blb34Ptz82xPbRNKYmUJqkM+Ynl7XJpqYIWUcYJpeHoxxr+snl56amgA2WxQ8Tk9yZK7ffDrr0NO6++K34TnvxrJkk+mJm2W8FRbKAyP+/8D4KvDP3Fa+n5erv1d3OFZA49tleuqrK5yAFUZ9GKjdFTF/bHsSnlY87OdtlImPXDBgI5MfLxFHH0/7rn8xSq+lIR9pKalyO4WSuqGL+g/W76yqvNGZMCkGL38TUJFtzqbJjKoNNJzM2Pk0QRnLcsihpy6UzZBTvrxoO7fIIyEnLmZEgDILMtIlDKanZs82XtfjZMcMcuF4EDMnzD/K+s9s2j5GsUrdq7cfQBC84qLOorPqnOgj7ldAEJJTLITffzsFdXcXt9+yc4J6dE8VrF64v8ovkMhbh2q9ci5Sy2LcVtLySJZnCSus9fvEVOJEYrVd9EwCZmZrPuYEgStMYefv7SJ3SeCBDKdyWFuT4+LzKAK/umnIxhPSEZhU8OZJiIuOgUCyL+fHrnm3ZFTJQwO7JLK7ySEd3bpvEr0taAjqHdweJ+DR8usR2vcw4K1r8ZB2XoaTFQCJH1vTjy9WhsFxSv7mgUSJo4Xq/ufJ7JOK5vGqiVSSnFt5/1lGs6YmwBsVtWyZIJBKzkoMLeOiuv/Kb73yZF1/xX2XbWwI6luOWjZ+GkLgKpJwimBRdkRWfbdpx+eVD/fRFfQyUpqDOk/amE++nP5nS1NvtQYPDesI80u+R8R8ZiPNof5y+mJ/RtIUhPbXMUoR8+jS7TAFp2yGXcqeRDguYzNooYCztMXiGk1lyjqrr3bUEdE5f3QJA2KcV72Hsqz9krL+fZZe/COnORx+0PiQPOWLqR8nFsq94DfzoWw21RVXx98jHv4h61qkES7Y1QlTzv/glVX3YjWZ5qpWF4OUfubShcgwhuCQcY9WNDxbbc9pyGC8GuObYtGWYI1a1cffPb6P1m1/kwDt+X7UsF/jjO79A6Pjj0ZMWj+8cY1lXhKCh0R3x88eH9nDyQV0c8b8fJLJ9M/HeFSQ/+EmsluhUfXTJzokp+0qX0lMOz2MyY+PEE6zIk4OrPYXCNgXw8gvI3HEvoXAYF8Hmsen+vNlcGJbjos/i14v4tOKcX8s0lulRANJ1aA0YSKHwG949F+ypjpCBWaEyvmkkQU/ER9jUcZSXYUAIeHwwQcZ2ittqBZcopsQQon4dTYKdn1gkX/pqki99NSQSRH7yPcytT5I45Uyy5104VecGB4KdEyl6wjP71Quq5XOFg8tgslyEwXLVrKIhAs+GBS84I2tbtAWNskwJjgLHcgnlM6W0fOZKYn+9payMAvyPPkDPWccRv+R18MrXAzCcyhEwJIYmy1T9KxEwZH5d07Puh0qCP5JZm/bLXkS4f9e0a1beYderXsDVn/sNhMOcsDyGLgUdQROfLnhwT4KITydtKZ4YTtEa0LF/93eCN15Px9c+Pa1OrqYz+MNfkO1aVtymFGwaSXFIZwTHBVNqHNIVxVGKbePJMnusgJGUzZbRKVtjLG3TFjRIWS7bxjNowlN7X79zkv6SLH1py6WzJcgxB+p0hQwG1x5K16ZHaz7DYh3z//7+6PPI2YpszmZyOMHv79uJEQkyOLGbvifv5/J7flD1GZb2I+dd939cm7UZOfRZjE+m+NdfbuOk009it2Vz/8YBon6D9oiPr73kI3zjZ29vzN6pahPMD4W53c9OeBm/W3ICE8kc50kvE85RPSGyQrK8K8JYxiNpA/RFTf74r904SnHawV24eOtm20fTfPfzN3DFexoPiAGwjz6WjR/7GkvDPg7pCtMWMtGkyPvzKoIqmSLFumrK96bLcuXd+UCUx2cVVYQvO2klGcvll/ftJOLTeddzD+DE1e34jcayMJVyJ/yGxoM7J2gPmaztCpe951IT7MmBOB+64VHSlssX/7iRz110BFIILNcToWiShJtoookmmmgShJto4mmOQrSbk3cSF+b51cgGhrZw5GDw0mMYmsDaR4QCU5uiR7uKsjRRpiZxXMosfDNf10JtC3V3lTfhn6/jYX+C7UJH0KAr7Gf3ZLq4YLgYMPaicla9WMz0rP8uiPo05F5UcNsfIJi+YFuJtO2ydTRdVOJY0ernlFVtPNIf5+H+BLar8OkSx1XT+lFDClqDBod0h/cKQdhxFUOJTFma5ib2D2hCsGMiW5Mc7NMEEb9OKmOxeyTFOp+GGdBpC5qM7GlcUasWai3i9cdzXLdhkPMP6sKYUVbMG0NtR3FkTwyF54jcPp6smhpeKcXdO+JlxBUBHNARpMWvYeqS8bTNIwP7r+K1JgUCkXeoPT3Hir1ltbUGpysp/qcjaMgym2s4mSORtUBFvLanCZTjMpLKYUovVfBYejqBUizAS4pbLi1Bg/H8Qt+bf/UJ1u3ZiMBTDfnO2W/msYNOZPNQkuXdYarm9P43QqOL6AuFmYIQ54t92UOpeV68P55jbXtg0QnC3vOf/wcz8pJX0/7rn8y4eKdKji1g54S3qLk05ifmM6uctXDvcSYyes7xUrfW/7xnr5XtuiQtrz8rfcK2oxiookxYio6QQSLrER/TVu3sCO/94vd46wuexcCOrbPW5w/t1dMsF9D+tc+w+we/qbl/+bs9cthsdx6QkteEo9ycSbHLmeoYff4gP79nMwAH9oaxHJeOqEnOURimzoqOYNEX86pgmDeEY/jygcq+kn7iKNPHZ1rauS6d4H/jE8XtazSd3p9+k99ks6x56eUzVtRxwc3TtG1HsWEoOaPSHcDKVj/yuz9jxetfWVc7337NrTNcX5WRGXoiPkw5fbE047j1zUWPOWH2Y6rg75e9p+a+ufQK9ZyTcxRSeD6jsE8rPscCAV7g2QJGtTFpeJhll12AtC0SgAZEgQiQOuxIhr7wnbrq6fGOBS6KDYNxlFJ1Be7V0xcZUrK0LcBgMluVHAy1F6VL6/DM059bx9XKYSvFk1aO40rIwQC5ku+wQHAo/5Hf4pTXt9IuqHxE8QteRuJ55xO6/c+E/n4rRipJLhzDOvtcxo47GfTyJZfOkMlY2qo7sCtsaoz97Pe0n/vseSuiFs4XwlO9nszatAQMto5lSFsuuye9fvaUVTGGUzaumlL63pUn1gVNjeUxH5ajsF2n2GcoV7GthFy+NOZj27V/Ze3zTyym1a5W9xo82DLMds+zjeBlpL48rrnyeyR6PFJS2NQ4vDvE3Tsmp7fX/n70h9dD95H89HWnzFKTcvziG58rIwi3h0xGkjnG0+Xz+MO7o/gNQbrEzz418664MwWbR9JsHqlXEXbmdiaER1LsCBmgoDtseAqiymU0ZdEb9ZG1vYCeQkkxvP4pVSfxv4ChZLZq4Eo9X0LpdzjNVu/pYcdNd5Ztar3yXUTv+XsdJZfXY6YxzdU0hr/03Zrnp7p6CA7213UdgG3X3ArhMAC7JrM8MZyGxz2FyPM7emgdnr2sAuxwGF0KhBBl43hLQMfQJD1hE9dVOCiU8shZSoFE4DMkOUeRsR2UUgQNjZDhEVIdBW5e8d9Mz803k7VdsrYXONAV9ghcyZyDFIIHN/TTGtRpaQvx8Atez10vfxtr2gP0x3Pc8fAeDu4Js6E/USSkvtBy8JsafR0Rdo+kwFWcPvAAn/jsh8reXWRkAF5+lhfk8K4rsc86r6xO3SFjWr8hhGDZS8/y/p7lnor7z3wW/PPBmsenbScvJuHNNQpBvroUuMqzg7KOpyIr8vsLiPp1hPDsgnjWoSWg11W3ahhLW5ja9Fit4aRF0JC0l/hbRlMWm0dTBAzJ6tYQWRtQCkMXmIangFtah6zt4jNkUUG4FAUbL2BIOkIGYylPcZtwmPgb/6tGbRu7w5GUNSNB2NTFnNfoBGArl41D1X2voymL9qDBRKZ6sHa1DIzxjE3Q0Ehb3js1pCCXbxcdX/wooTw5eCZSaeTq72EpjfirLgfIz5Nc/LokaHo2pe0qUpaD5aiqGaeMkmg2BVXJwdWehwIufu+LkXc/TDybw9QkKcthOOXQHtRJ5VzGMjkSOQdTk9iuQ+q8C9h+3gUA0+qi5wuN+XWyjkvGcumN+qYRHgWCVS1hNG0qIMb7hlz2JHK0BgziWTs/73TYPZEt1rc36uNfe+IkKsjFS2M+TF0ykICdcYv+d32Jl7zv5fgmxmo+i8JbvvOAZzL4qjdg7p5k/N7HeOc1H6Qwg3lxybn1PM8X3fRtPrz8WDI5h4MPWsm/dqUZ27yDo1e38cSuSdYtCbHrkYe4jwjHEp/VFvRM2oUnBxfqDDB2/su5MKCzs38cv6EhpGBiNMna1e0ENEE0YBSDvMfSNi6Kc47uoz+eI2xKkvEsPl2SzX+bjQbXKOAZv/0NR5fVanpdNTkVuFngPGgCtMa4uXOCJsGyFbc80s8tjw4A8KoTlnHaOm9+UsigA9PnREp5mRVKv/vK8erE1e1sHUpw99YRjl3Rxj1PjTKestAFPDmUZCJl8acNg8Xz7ts2zm/W7+Qlxy7DVd531EAixCaaaKKJJv5D0SQIN9FEEwjhTcxsl6LVmc5NX4hxF0GhbF+sxXupkFQ+6llhaJ7DJlPiOMhUOBEK5F9dE6C8CXXOdjF1gZa35veV8thioScSQClYGg2yNAYbh+OLQuZOWw4uLoaUlWsyRextCvl/2rucC0xdYzhZe0H+Pw3rd45z51PjPFVF/WEmbBvL8OOxclWpbA35NctVDCZyjKXGWNsR5OCuCEp5C+Rhnz4rObleWI7LrvEU/fFs8R2amsCnS5I5h4hPR+A5bf8zQhr+vaAJ2B3P8vhQbRWQ3pifraNpOkMGKzqCrGoP0hHxEzIlDy0QQdjUxIx93UGdoVnIwVPwuLIKlLcI3xH0VSUICyE4fmkEhcByXTQpMCtC9mP+hZueLPTYcXRvBP9ecCg24WEokaM7XJ0wty+xmEkGqhH4MrbikcFJlkT8DCYyZWmyO0I1ns9CMISF4KAlEc5/90WEc+Vjo4biTbf8H9zyf9xy5NkkD33X/K+3j7GYSr77CvsmBNPDQjzNrWMZVrb6eWps72Q1mQ8Sr30bwnJou/7n0xQRS9/D6AWvIPHat007f+dEhgGZnSJMKW9oVEBrYIHGxVleymjKSx2v5xV4vDoIXKXKFMYAco5Lxp4i/5amtMzYDv3xbFENsRH4NC9tb+Vids3jdcHP/3IPP/zfT/Pjb3yp6jEHaQY/aGnHMGoHnQhAHxmqfaFEokx5dDZoCN4QinHl5Cia6edV37uDg/va+fOmsfx+hWvZJBMKy1H0+DVSk2kevOs+/tjZS0AK/KK2DRaQkgsDYYYdhx+nEhylG0ghCADn/fr7XPesF6IFQlXPldAAwWwKSgHL1rDtqhtYPkMKdEWeHJwnP9VbtouitNEoAbvuf4Bl//V6ZLa8D1DAyGvfCpdeXrYN6lddVFAkCS4mTE3i17106EBZ2nG/Lmdo6+V3Ev3aZ2m98doqewClCDz8AInTj+SLy1fykR/dUNyVtCz685mh5jomFIP6Z3m4AkjmbFzloyPoq31cDeLCtvEUK1uCOC6EG2g/BegIXrj+8Wnb6yXktvh1Ij6NrrBJi1/H0LxgaUMTxb6wPWROzZ+UgJCBe8GFZF54AeO2UxQOoMKf2BfzEzUNOoM+dE0Q8Rs8tGdsxvqYumRUGoTWrsO/aeO8ScIU/ZaC9qDBkyPpaeSpO7ZOVDsTgHUdgbIsF6XFnnNgW/Hvgi91+NZ7abvgOejxyaptTwHjX/ke1mFHkh6P0/vO1yGHBnGCIfZ88FMs/3+vnbrGTLdVUp4Ctt98Nx3vfD3Bxx4qu9bA297H2HPPJ7Fjsrjddl2GU+4UOfi+u1n+3reUXe8y4OBQmK+7Dhvt+oOWWt0EfUuW8MRwgpEKv1rQ0LxAAM3LR1NQm4OpNNJhn54nR4HCyx5yWl5Jt4IuQsSUyPyYUaDzCkSxXJ8u85kCBEpByvJImrar8GmSsE+jLWh6hC1AKEXYp/P7x8vTmp+0PEbE76lHCwR+PV+mmCI8OY6aRgZO5hxyjiKdsZhIWRiaIGu7uEpx/Ko2pPTaZUEFt8DbV1AWLFHPHGzskisaJggXr1kFdjjMrmkBL2qK3AOM/vgGfOeehOZMBXrUKn/k4jeUjY+F/qmgZPjbj/2IS958ds1ySstTwNgNt+FHMZG2y1Xs8UQfLMcllicyluKAjhCm1Mg6DptGkrQEdOIZm4BRZW4pxJwmwDsnsqxpC6BLgV+XqIBO1nbpDOm84Ix1LIn5QJOMxrPs2jPBjl0TOMrliL4oT42kiPh1lFIcvjTMXx7ewyFLYzzZH2eF32H1Fz/EsomtMz6nvi9+jNQ9d8CnvlRUtpfCG9NEyZktfh3ZQNYiBZDLMZBIo8kp1XyA7oiPgK7huC5/3TqGUnjk6BlepkSVtb/Kd1V63UbHgFVtgaK4RSVSllsk+4dMzSODa4KVLaHilcQsoiGW4xZJxo5SxDN2ma8ibXnET00KOoL6LPb9ws1chZj7GqauCZ4aS9Z8DwWMpCzCPg3HUaQr1gAq1wQ0AZG8XWG5LmNpm/aQQdpyCRiS0J/+4NV7pnvCe0JtP/52kSBcQMZ2i3YmeN9/R3A6OVjA1LpeKkX3i06f9bql5wIYO5/Cae/B79NJ2QpTChwFLUEdBJ7/TlBm+4IXkFhKErYVtIcMRpIW7SETlE3MV32upqCYYaLgtdGlxrKoRxCPZ3Nsn8gQ8+v0Rjz706dL/rZ1HEOTrGoz2VqiNGxokqGkRXfYYCBhYSu4+cvXsPZj7+LQrQ9UbYku8JMPXsW9CY3OnUN84cuvrfnc6n2eCnjhvdfws5NfRTK3nLH+Sc48qo+BsRQ52yGbc8gkE3znma9g6V0/pAerZj9Q3L5IweeFMWfjQALVHeZNLzic1qCJX5fomuTmxwcZiGdZHTIImBojKS8g7tR1nQwmLTrDJhcc1k1n0CQaMJACHv2IAVb9dpUA9Gc9C8VUphuorQbsuOXmuJO3K2ZI0LIgsF0vCORX9+1kPG1xxrpOXnacN+c0pEcgrok8ebhIapZTw68X2OXdw6rOMKs6w2Qth11jaa7+5zZOO7SHtKMYH0uyPKjhC/p4Ythbd7p76ygvOdarw770ETbRRBNNNLH/QKi9mEb92GOPVffdd99eu14TTTTRGCyn4JRU7BxJVfq0F0XtN2BK0lXSxCwGpACfIXEcVUyJVMV3Xzy24Iw1dVmT8FeKmVItLRZq1X8xoEvBg/21Fwzmi8O6ozV9jhMZix8/sGfRrl2KkKlxUFeQqPn0ZoF1BE2GU3uHIHzmgZ34jX0bs/Sdf25n49DeUy0NGhqnr2nj4f4428czvOiwbp61qm32E2ugQDTeNpZkx1i6rgl/S0BfdIXo1qDOWOrpo0I9G6SA/rjFo4O129rKVj9SiKJjSzkKHJtLT1xOfzzL+p2T3LNzetrqmbAk6iOQTxs7lLSKizSl6UkrcdLyFp7RG625XwgYTWXRpGQomS1z/s4HOUfxj20LM9Ysb/GzfQHSJQMc1RumdQHJy//O2DyaZvv4zOqPC4GDOoIsie5/BOHFtL3agsY0It5MKCyqVMNtW8bnXZ9L3nwOskg0mI7CWLPz0OP581s+Pu/rVeINxy2tO1BhvhhKZqalEN0bCBkaK1urE/nmi52TqVkXNxcLpX35Dy57NpnJ0bL9R15wOc+65N11lbW6LcCWGovb88U5B7bVNc9rBB3veRPBh+8vIy2lDn8Gw5//5tzKq6L+NBfE/HrD7aFAFq6c45aSHAFaA0ZVNfNGUKYwNguC+ZS6hiaKz0YKmIwnuOqzH+KA227hZNPkENNf9/Vdn5/tN9xe9Xn3XvxCjKGBhogZCrjqG1Opgte0B4rEXOG63HXXZla1GjiJMQ445jACPh0jMcnZ73xp3ddJuS5nD+7mbz1Li9uSrsuPDjqKwH99vuo5pUS0RrCy1c+q1pLn2d/Pste+CJEnRLmGydCvbybrX5j+rPPD7yR47z+A6eNPofquP8CO6/8KgP6nG+n74seqHl/t3LEzn4/9gY/mSa3OtDGzNaBXDXabCVLAm09YPm27o9wyAvNgIoujFI6rSNTI9FJqDwRv+BWd3/xi8fxaSLsuVyUn+UEyjm6a/Pyep6Z9q7VQIPgUeGCFTBkZyyGZc2jPqy4OzdAX7RjPsGl0dru7I2hweE/tdtIWNOgImpywupNMrr5xuUAUeGz39EDKtO1w3SODTGSn+peYX+eA9gAtAR1/PvtPznHLVIzn6v+s9syXxfx0hnwETI2WoIntKu7fOUa6yvsvXDFoyOLz7n7rJfg3bSy730aggF2f+hq+E58JeG1+w1CqmAa6Fny6ZEWL9933Row5q9K1fOqDRP5xG7gumUCYa/7nKo5Zt4Rw3udWeH+tAQMpPaXFnKPoufwl+HZvLx5Tz33munrYc7VHkq/sz1O2y93bpwjCpf3yWV96N32bHq56LUcpckrxu3SSL8TH6/K19PT2cse/nuDBPZPT9h3UFUYr0QquJFIBbBiaLGuPYVOr2V9UQ1fYZCiRozVooAlBPC8CIvHIZAe0h8k6LtvGUsSq+IVCpjaNIFyJZTEfa9vLFTxdBbdvHS/bVujPfI7DnZtGOLA7zBMD3rf6/84+AE2KmnOgFr9O0qp+3wX/sSEFujalFtr33OOB+tsMQPKQI8pI5dnVaxn4xk+rnlMr40LHO19PqKSMyus4n/lfomedXVav3ZMpxjJ28dtSyluIWHHOiVWVKFXJv9tvvnvadaTwvqORlEV32MtSUM0+O6A9RMjUyVgOu+NpAoZGynKqjheF+6r36y/UsdQGKn1mmoCjeiN0hz2C5O6RJD+7Z1fx2IN7wpi6BEQ+66XgnqfGi/vPTG7m/O99FKhvvE9+9NMMn3hGcfuRS2LYJX375PFHIG2rYRtv20c+R8eZZzKctIj6dJZE/fRETLJ54u3NTwwTMCUdAZ2wz/MjWY6n7goQ0D1bVkrvuyl8m0nL8ch4eUZee8ggeuYz0excQ+9ACEFo/WOe8nahkxWKTcPJsm9KAkGfRiLr0Bv10eqfCvARKJ4cSVRVAK8Gn+4F+mUtVVRBXhLxM5zKoUtBKucU38vylgBhQysGRai8crWnEKvySpcK5/c34N5yM05HO9br34rT1u4R6xWsbqseTFQrw6erFPGcBQqifgNDyuK1wPt+dkykGsqi6QU36oxnrGKftKzFz468H9KQoBDFYICukEnUr+M3JKamMfrSF6M2PFr3u3WV4rWjg2xAcdRJp/O+r1xVtj9oeONq0JwehFZ4LsE/30jnF2a3mWth7aZNDMQttowmiecc1u+KTxufTl/dSjUqYmfIsyW8jKxeO/FpAikkpiaJ+Q1MLU+bV8JTsc+3BV2T0wSdQPHoYByfJgj5dFylSGQdxtI29+2a8psvi/mZyFjoUpKxHVKWS2fImLJrcxYPbR/n0N4okT//jjPuvxnDzrEtsoTvnvs2jl7TSf9khjY3yxs/cfGcn115zT1sWnow/3j+5WgHrcPSDdbFfPzq1o2MTqYJDW/i0Sd2snZVL88c2cbrnvhD1esuDi24AppG8N6HiQUM2kJmhU2oSOccMraLFF4QUHvIU45XeVXjUlIvQCKR4KmDD2moCoft2F78u1BeLdJtzikEMJfTqk1tcYWhCvyK/okM/3fbJj5w7sEETA1NgDHPpeZC9ueCEnABqZzNU2NptgzF2bRlBCkEmqkxkHFY0R7inEN76Gv17DWftmg88iaaaKKJJvYzCCHWK6WOrbavucrdRBNNAFMGZuHvasQH2/HUdmv45uaEdM710pgtgjpxAbr0JpSaENPIyFJKcKdH9pr5cMJCSqy6rrMPCMJ7EwOJTJk61EJjImMRrREtvDcnLitb/U97cjDkVZyeRggYe4eAVEDKcrjx8SmlspseH/IUd2yXjpDJAR0hBuJZVrYFZyzHcRU7x1NsH2ucBLQ30qn/JyoyzhVSwGBiZnIweOmC+ycyJPPjyRmrWzmsO4ypSZIZe1pKT014yiAgSOTsaQu9puYt7u+ZnCJ0CmA2Cu5D/XESOZsD2oMsiUwRQjTpudce7p/Mk8wXlii62Onk54qM5WKboInFSdn274S9FV/q7MVA1v0BHSGzLuV+UxNE/XmlnppG2fyf3UX//TIkqi4lm6WP3gP9/dDTM+/r7iuofWb3KPyGbEz+st6S9/En9OM3n028f0fVfQ9e/wMevP4HvOhz19CzduaFofRCTj4rsBgB89mvfofRnLNgc6Z9+R4jPr0u4u98v596+78CAqZWNTgiHA7z1o9/mSVvfCXmU5vrLk8Bdkenp/BW5Vbk2FjdZdVCkTCuFGO7RtnSH+fgFSsIr+ghkbVoifh5znte0XC5v+joLvsdkpJnPbae++dd43JMs316ethxY3lqd58uPEmwmcph9hGq7Ysfr0kOLt0mM2mWvuRMdv76z9hnnUfq978muHHDjOpaAFZbO5Pv/nAx53a1LC5zsfVqfatahRq0i2po3tZRBzkYPGXpy8MxfpdOMZTL8ZKjerllw0Bd15jN/h4uKLzNgPaQWRdBeLZHO5aySFsO3/rLI1z27ANnLQ+8d/v5r36n6r6ArnH6mhZG0xYhU0MIj6yQzDk4rvdvNci6Wut0mJoEyst0lCJrKyzHxnIUWcdhaIZATSi38Qa+fjVkMvRddgH6+FiFfuzMKBxrP+N47JJ7PagzSNjU2FSiKL6mPUCrX2fzaBopBK0Bnb46gvVm8xOOf+CTpDWPlANwqhBEfRqT2cI36CmuFcYbgUeQzvz8OnynHtOQaWQO9hdJUJUZyirLKfx+6TvOJ2hlqh4DoAlBQAheEAjhAF+Kj89aj/HxcWwHDu3yAm5nElyo5papfJyNtkTX9UbmStKtqxQZS3Hzk8P4dElvxGQsbU+7b00IDu4M0p/IMZa2kTAt+1TEN31ZsVo9fbogaEiUcot1Kx6vvB675jsWzErUbwkYZTZEZtVq/Fu3zHhOKTKrVjP8pe8WfwcNOc3nUopatRn+0ncZBsRf/0Tv1z+DyOZwW1rZ/c2fQTjM0pgXCF4GIcrGm8Lf22++Gx55gGXvfmMxWLNw7e0f+Rw889Rp1w8YEk2IYn/uKGracE+OJOmN+sjaLrZLMXA8ZGj4TclE2i4SJ4e/9F1C55zQkIKtK8vHvdL+TJPe959zFA/3JzGmPVHBgzuniPVHL4uV7X1hHeTgwn4FBD/6figlU5dcLpfLNUwOLqDtxuvgzDMBOLw3SmvQB0rh02wydo7efN8ZNLXimN8RMooEYVOX02yB0bTNgxUZw55/UDs7f/EHVlz0nMYq+Ivrgekq+qvbQvQnMkxmvbZxcFeUVM7GDSt8Wvk37SrIOoqgqeHTZLE91TL3srYia0/dU9jnqVRHfF52ECk8tfCITyOgS4SQFFdfxBRRIZVKIZ57MloqRdnqzM2/8w591WUE3/XfgNd/alIghRfUKASkKtb+XKXIOQ7bJ9LE/Hkl48kpe6U9YNAeMvHrGitag4SSOXZN1ic04CqFJguBVoKwqeHXvGwE8ayD47r4dC+bxETaIue6pCzHy+inFMEGyMEAOaU43DB5JJVg/e1/5CVH9eILBPnJXZuI+XWSOSf/zqe/IE0IjAfvmxc5GOCpsQxXrd+NNcPAb7lumQJ8V9ikzW8igIzj8lQiNRXwp5QnkgEc1KnjFNdpp8q3XQez4nK6hE2jnkJq1lFk832fTxfsjpe/vx0TGVa3+QHBllHvuKGkxRlrWrlr+wS7R7MctSxGJuey8ZgzSZz5Ah7dPcnytiBrUPxrxwQCeP9XFoYcXFrG2p0bWPut95AJx7ju7Z9lc7KVNmuUB+++j9OedTiPPrGTTVt3EzvuGZy38lSOcPt5+b3X0EuWrokZMuAsMFY+8vAMGT48onygqgh9yRiX/1fhzdvlSSfh3nnn9JOqYOn3v1/2eybLoJRA6yrYNppgVbtXd8cFuYjLvnreYOqJ+fn4BYcBefXjBVh2LGSBhikuh+NC0NQ5pDvCId0ROKy35vmGbJKDm2iiiSaa8NAkCDfRRBP5SMyp36ls7XRGSgkMTc1KEtalR5gV+ShZ26m9bCgWcEFey6cmK0Qreo5mr3ynynVkFeO84Hu0HFV0MBTrKgopW/IbClHGUuC4CjOfIm4uC7mNGOiF4qUEY4bz5mPzV95CwNQIWRoloefFI6fUDijZN+XorfY4Sre3BHQ6gmbVAxWeE6OJvQurcjXlPxzLWwI8sLsxVdaFRMZ2+c3D3gKuFHBgZ4htY2l8mgQBbzhhOV2RKSUH23F5cijBjvHUnAMTRlJWMd1kPcpSTcwdUsBQyubhgdrkYFOC7rrcuXGQrqiftb0xpBQsifrYGc8yms6RyNrF1K6r2vzYjmL3ZLa4sCvxFnZHUxaaFLT4dQbzi3qlqKfFJHIOD/UnWN02pQqkSS/972IqUi6JmIRMjc2j6UVXuG4Ejw+leHwoxemrY7Mf3MSC4MmRNMtb/Yi8msz+As/mWfgKlY67Mb+XVrig3uktPMl86m6Ki+CLaR2F6yA/FOqggIs/8Rp+/PU/LGKN/jMhhKiihLNQZS9KsXXhbecdR7x/96zHXfvei3jx139Ld+/asu2mJjhjTRtBQ7JxOMWeWVQO54rFIN+auiwGYTWqQLqYaLQ9LIQqcD3wFB7rf79hUyNXJYC3PThFMbE+9D+Yr3t1Q/UY/q8PemNNtQel62DPrw1uHkmzpi3Azj0TZLIOpx/VRzBgkElbhE2Bz9CRTmP2eFBKglUcGn1C1iQIOwpWtPjZ1mCGhYXqTur55CJ/+n1d1xSAFo/Dzp2wdClDX7mK6Fc+Resfbqh5ncSRxzLy2f9roMb1o97upKFnuX2rlzK3gVq8OBjiWwmPXHX2wd38+oHZ++J6MJPfLmh4tntd5czSGRXEDmPRMO//3x/x6f936axlvuzlF3PeRa+suk/XBKP5viyZcwiZWk1ScHk9Zz2kKmJ+g95oANdVHinZkPh0j4ngKkhmHXINfusA+P3s+sXNgKdSHLz0Jfi3b52RtFd4Y6kvTVewF8CyqI+lMR8CuOOpCZbFTASCo5Z4JIrZiJKlZc0GR5UHWdquRw60XYXtulh5v3GpzX/6195PIzOvgk2atlwiPo3xTPkYVtmCw/f+ncu+8IG67yMgJRcGQ/wqlWCnM/P4HolUZOIRU1dP5Rwi5lTfvSjTnBo349HXFU+NZdAEPDmc4pRVLYBH+BUCcraLJgU9EZOeiIkuRZEsmsw5GLrEkILOkMFExvNPKCBRw6fk5H3rPe1BTj20G0PCSDLHeUf0YGgSXRNFlb9CaGLhXbp1mcjlT3Dgmz9n2TknIGs/huJZbv74UswW5D6T7dgWNOi46ELUiy/gyZHZM5StbA2iFDwyMDl9vnvYUey4+Z/46shq2BLQiWfsijJmblk5x50WHJK0HJKWQ2tApzcSRJOwfSKFY5podSi6F654xxd/TlfYLD6rXQOTTOZ9SFLAk2GTjO0WiYxtIQOlPMK4qQtiAW/J+hlrO2gN6PjCPjQhOLQ7hPhK/WNiYfw8uDNS3LYnniJtuwgEkctfNufFcWf1GqRSaALu2TaKJiUrW4N0hExyrif8AApdyqK/tVLxsS1okMzaRYXemqru4TCukEjl1hUUIoC2g9cBXhaQ0jbrKugK+VkeCzCQzIGr8GtaVX9LIZAylXNI4dARMoplFsifScupOZdNZB0SWYeDO8O0+g2eGkthuYrxtM2KWJBqzTo1PIx67skz3+NPryJ5682EbrrNIwI65YTYSgXhlGWzbTydv6epcjThnTWSthgpmfNowhtnTU0ihNfvuYqq36HleuuHBR+pLnyEDYOsDTdtHKE3anJ4T4jxtMOeyQzbJ7KctbatSBRfQWN2oV9KllcQubPpFC85qpdrHtjtkeJNDVMKco5b9owTOYcVH3g7NHjNaXXQNc5d18ENG2qTUxM5p5iBrSWg0xHwFW2AoJQc2BFm12SaeNbLGCCFYknENy2IQilFynYYTmZZ0TKVfUIIGE7nSOYcTE0QMjU06Qk32a5i9+TU+wzonl99y6g37pUqPN+9fYKekMFD8SytAZMXPmMJ24aT3PTQAGs6Q2weSnLm4T2s7goTmhht0CavD4Xy/IkJXvapN/G8zrNJayZrl3WSTcTRNYmuSfx2iuNDDhs2jfDR3tM45Kij+NTP373XZFlqk4PLUVkfVfFvWZnf+iGbr7iCjn/eXvN8gI4fX03LaafVdX0oFTdTPLhrnBWziO8sJITwlIJ1Va4BsNC+uQJZWMuXW6kqXHptLzijSQ5uookmmmhiCk2CcBNNPM2hlCecUhqPPjzDAqztKgxN4NO9yOACfLpAEwIXsPIR6JURq35DkLGqRLBqEk16zildE+RmUZ2ZCboU+XrlScGzOBMzueoHZCwXQ/OIxnWlTa/iSUnbNlvykayzIerXafEbREzP2VJQMc7a7oxKHHYV/2utVErzRVDXWR5bvGFjpve+mArTTVTHfzop+8nhJEOJLEf3xYoBBfsLXAWP51Vm05bLqrZAGTkY4JE9E+ycaGxhvxIq7+CM+IwmQXgRIQSMpG0e2jM95W0BEV3wry2jTOSd0jvHMhzYG+GQrgiu65LO2XQHgzy6J85YxmFJ1Ifrwu7JbNnw40IxTSow75Tk3WGT7pAPTcJ4xmLXRLrseovVS9Qi/zSKhSZ+dQSrq9w3sXi4ddMYzz+ovS4ix96Cu0hynoWAtKAhSeRV7WZD7SPm93Ue/9MvN1yKVt8KfmP4NzBFDE0QMbV8qj/V8Hg6TUlsAVFPS9WkYGVLoGr65oK6UaPo7+9ntA5ycAG/eesLefO1j5VtyzmKjO2yti1Ed8iHq2DDLAr8c8FiKJWXKtu2BHRSOWe/yDLTSFaHiE/bK+Tg7rDJQCKHBFoqxlgBxPOBy2GfXhzTNVndvhlNWVM2ytIDCAQCyHS6LiKFMn3kDj+65jEjr3kjXd/8Ul33NNN1No+meWDbOI7yarW2PYzhN7j1jk2sf3yQU1i4bm9JZErCSVGeOSTi11gW8xX3VX4GXjpfQak2dMSnETa1qv1KIUbY1AQBo0o6dFXub7JcqnRQ3rX8V3sqsI08h2Vvv4TB3/4VFGTf+SH2vPND8PC/6Hr/2xA5C6XrDL7jfXD281GALx8ErucV53KOYm17oKxKPk3S4teLJLVCiuPCPVXrOgSglypSlTE3p4Kr/bok5p/Zr6JLQcyvE3nn6xt4EuATkucHpgjCANmJEXpqKPxPhTzVzpBRIENoUtAWNIpB4arsGEFnyCRoaGW3PRVIPnV8wNBoDRhTJeTnpOm87e8oSFkuHSGDZ5x+Flf9/QmuOP1Qctb0714KwS9vvJ1Dj3pG7YeiFAFdEvLpKFW/evNch2dDk3lSo6CtmpTaAmHgO7+g+82vwr9l07QkBKXvZttHPoc89Bk1o/YL55yyMlYk5xmabMj2FkLMOvGqtGsVMDyLcnXXU0/UXYcyrL8b64RnTqtSR9DgnAPbPCGIzY/TkScHN/KqJYKXB8N8YZZAup9e/0cvQ0Qerqs4sscjDQshisrlmvDavL8io1VrwJiW5cAI6GXv2KdJciVO70J/2xY0iZjeuLk0GizeoFKKtO1gSMnhXRGGUzniWRtDesT2Alm01V+ePcB2FQd3Rsg6NkPJXD41vLfPchSW4yCAkZTNIwOJYoDj0piftW1+Tz3TkDiu4pilUYYSWZa3h3ikP0FOyjL/RSWO7g2ztj2Yvz+PPqyU9336dY2AoaGUwqdpxHN20W7dcfPdLDvvpLLAm8oQT1fTSP/1XjpKtknhCaMEilnlprdrx1VMZJxi31n6/BM5l/54DgFenybAEIKIT6c9YGKU5kEXgHJxXI/cNlkyh1jREiBoaggEjuuSLXnPGdvFct2y+xlLWdPWDmbOA8OMAYoZy/Xapgt9kSD880Hizzi4WO1qKFx+19rDmWzpYLREJX3nWJqxlMUHnreOoKkRDRoMJbLc9MQoLYZgtMSu63MVE/kAu5wLUtN41spW+qI+Jr73vRnvqRbSn/wIoQ99LF/m1HytZcdTcyoPwLz8DQRMnZCpEzQN9kymGU5leXyo3O8XKslQ6LouuvSU5lOWy2jKwtAEQUNDCu/dnra6lZ0TGTaNpAkaEqEUrQGDxF/vI3Lq1Fg3EwkvtP6x4ppdabY8y/HW9BxXkbEVMZ+B5Xrrdcm0heUqco5bzKbpVMzvh5MW3WGTgC6KqtNSQHvIwHVV1cDIoOEp9/cnchXZSqsHXc9GDi6iv5/k6y8l9N0fTduVttwSJXm3rD8r9HNeNjS7atCQo8i3kantbUHD61dRSCnKsgBI4QV4G5rEVi7DqQy3bRkFYPdkjt2T5eusGdulJaDPOdtMrS/3pccs45frd+QJ3R70vEI/AAN7IN9fzwWFoIrLrrqPE9a2g1ZbhvXhPQmO6YvSEzGJVlGb16VkeSyIrRRbx5K4yhuHSuEqlz3xDOMZm76ov2xfyrIZzKsE5xxFLt/2gqbG7VvGAG9e0u7X+fuGAay+GOSJ8HsmMqxs8ZNzvDXXdNbmgK4wZx7eTdZR3PzwIKMpCxd47tF9OK7iT4/u4UtfvXSOT64+CECiuHb8r7x85fls2jGEz6dz4pGrGByNs2n7EJomGZ9MccqxB7D2779a1PqU4rAd22vWuYCZiMAFjKUsNgzGGUrmSOdchpI5jv7cVzh0ZStPvuWtWL/7XdnxHd/+Fj3nnttQXVXJvHM0lWPXRIbRZI4zDuxCCIGjYG949oVYuHn9bNcBz55s5sNtookmmmiiXjQJwk008TSH7Za7s0biuZoTzQI8ZV3PgZm13OICSWpWMk/1yT94k2OBRxL1616E7lxIrvWu8UoBPkOSrkEQVngTTP9M8ryzINeAAutkxsZ2XMKGXpyspC0XQ5ZPbJpoYm9B0/bGNHbfYftYmpseHyqq9u7PeOaKVsBb0Nk9mSaZdepOd1YPmgT8xYMAxjMOD+yeTg42hSCgec7ILUMpbMch7NM46cAOUkowknbYOJTiiB5PJeHJ0SSmqdNlaGwfz2Apwdr2AJbrEZyGErm6FJ5mghTQF/VUG3oiJgd1hkhYNk+MVG9vi9FyFHDPzsmFCXRZ4G6sJ2IufKH/htjbPcaOiSzLYr79iiS8GNCER7yZzNh1kYNnxvzOP/DuPzV0fG0L/98HjZAnSxE2NcbSNqYuCZsalWnFZ8NiEc7rhZcBRcOve66hAsfHdp2GVF1L8Y7zjm/4nHBqjGBXN6Mpq2iX3LVtgiVhE10TnLQsynF9UcYyFr/bMDynelXDYptA42mbqF/HbzAnsjXs/W+rI2SUETXqget6wQ2l8IhKqrhqlcn7DaauY2Ln27+hi2lp0Esx075a2P3tX7D0kvPrUtfc9a2fzVhW+vyXwTe/NGNZleW6NdiFfW0Bto+kPQKVrjGecdg9nOCFp66dRvKbK3Yot0x1uyNocHBnuXJSZwkh21Nxnv0ZJ2YZh3VNZ1lkfgpNyZ9d1dDxAtBSSda2VahanXYy3PUALi4bBvN2eJFBXv5VdYSMImG6FiI+ra4AkAf3TBFzC8S/SoQMrWpQRiX8hiSari/gvBRhUf4tXnLGUfxy/Y6GyylFe9BgYBYl96hPY1Wrf5oiZTVUBiB0hAzStosUHnHKI2V7X0IoHOaX923j0O4Yu3bv4cZfXs1Jpz+XQ448iocHJj2hAuUixXQ1bfB8nqvbwkxmc+xoIMBWUE6sKqCUKF6AxCN9CgH98QxmXga5YFtkK3yDtdJyF9QZwSM/m7V8rEoR9eukf/BLMkD4xc/FGBkpI2dMnnY24+/72LS6zgQhBH5DI2M5hE2NJRE/KWthfA+Vdahn/LVNH6RrB9nWRN8KgqY2TewhaMhiX7f8Ck9lvtH+1hSCs/zBWQnCS1esnoGAqbCcKfJetePGUtas7609aFQl5LUGTGwXesKBab4eM59XO+rX2TGRQs9n4SsbZ6t8ShnbIWgYLI95bdR2XPqTU+1C4WW4c9WUbWu5CstVnLyilS0jSQwhCeUDBB7ak2BFq9/7VmZBLXv0gHazeD8+zbt+qa2148Y7IZFg6avORctmi8/T8fnY+dObIByG5PS+aDb7N2Rq3N9A9rElEZOhZI5dk1nOXNNe1vZ9uhek0hny4ZL15oB5olyh2wibOnqJoEbGypYFo9WCUG5JnyJQSmG5LoaUxQw1Pt0oTuRyjlsc59K2i1th9cRv/xeh048pBoVWI4btOOksNr7lg7RoeZJ1fkfHqlYsx0Vo0B42SGZctgwlOfKO61l3yzWcYeV4/PCT+efzLyfi0zmgK8TBS1tQmmRNq59lMY9obj66fm528YbHcJRXbyOvNupVfG5WtgD6lnTi0yWW4zKWznmqulX86KVE//GM93ztEuJtgWRvaILjlkYImzpbRr0MlccvjZKwXArM2rGb76b34hdiDA1UfQ52tIXM7/9CiKn3U+lXK/QJpeIyqZzL5ioCN74q9zORscvu01VecOTylgARn4HjegquTl4ZfnksiO24dIe8wKBE1lOoLp0DBwyJqxTjb76iyl3NgPX3VN2slGJPPMNY2kKK6vZrKuc986zt0hY0Zp1rlO5fl1dETlgOGcsha7tFX5UmoDVocGxfhDu3T0x7/jG/jl+XxWxpLfnt9Y5FKdflSbt6Xd2K7ASGJopjDUD3pz9U51Vq497zXsU5Ry5h4+5JnndYNwGfRwC/bcs44A0fPRGT3fEc28YzPDqYIJlzCZmejbgk4qMzZBLzGWhSYAjBmrYQo+ksk1mbRM727B9NsHMig6ugxa+TzNr0J3JMZh06gjppy8GQ4NdlcawPmhp3bZsgkXPpDugYmmDnSIrumJ9wyMd4xgalMJXi2ru3c9SyGP/aMcH5z+hl01CK1i2jnLi2neFkjqhfp7fFx8BIiqUdAdb1hNHV4gvLCCBkZThAz9H+rEP4y92Ps2Z5FwMjcZ599FoyRgh0A6kpYs88CXZU/wYWDFJy2LaninUroB4ycClu3zzC44MJtoymi33Q5cct5dCeKXX3ni9+mdg3FjbLS2vA5Kx1XehSFIm0dZgdTTTRRBNNNPEfjyZBuIkmmpiCqn/h0lXeIl/BoaDJGqsfJchablUCQcFZUthemNg1qoRraKJudaaZyMGlmOucwVUKn+all62XfNceMqctOlqup5LUANe4iSYWBMn/YEVZx1XctW1sX1ejboRMjUf3TDCYyC4KQU6rkpp4wfDvzhibBwQwmXW4f5e3eGRKCEhBOmuzazTF9hppeO/eNEpn1EcsoHPSipinQqU8wqChCTbsinPvlhGkEDzzwE72pPJKCYakPWjUtShfDWvbAyyNmmXqYdvH60sVvFBQSvHQQGpRVPAXAo8MJHn2ylgxneLTFnvxu27x6ySyNut35TimL7J/kIQX6f5nU1HbmxCLoQb8HwohBK1BA10KMtVSe+xLNNBWlVI4ysVWHmllx0R6zirs7ixpt6vh85ecwpuueRiJR6Tw1KagPejDzS/GhTVJ1Gfw5hOXceumUTYOL7yi8GKgML+O+rzF8NlIlosFVUeDaK+TKFqJyWz1d35wZ6Sokj2YzDCUzOHTJRGfxnAyR0fQoCOfVjpbY7F7rnC6eth59Q30vuHlyLRnz1Sqayqfn13f/ClO79JZy8usWo1/65ZZjyuUfe2Hvzt9n1L0RP0U1pe37JlEKTjumBUMJG0S7d1ERuYXvJh0Xe487AQaoenOpjLYQEHzhz03In0t1FOlmVQUGymnFDM90XqUaUOmRirngGaA01ifkavovCsJI3NBLXXh6QfO7zqmNkX0yNpTJD1bwYP9ExzR28Pl73gv4KnHgRcouSeeoTcSmLGeeoMB0EII7x3sJYRMraz/LSW9zIbuW25HCsGTI8nqQWYNCClIPH9v1K/j1wWjaY9EVaoKPfW3968uRZnPsqCaJsTU8UIUSBneSdX8pGvaAvkyPc/xU695G4d/+aP1Vb4UPT2saQ+xonVKGVsIGE/lvGecSMwrTXhwlrngpVe8dY4lT6GeV1bL11wr+CxgyGLcjgIO6owW941lcuzOE8GrBs2J8jI1Kaa1tcqsGFJ4PopNQwkO7IwwmcoRCRjsmcywLGbi0/P+8tpZ6md8DsmcQyDkET3jORvLcWkLGHmyskCgcIOtpP50FwqFbSvie9kGW9seYDCRw3bhscEkp61qK3tOY+kcWUeRsRwSJT5YKcDMkyYt18VyHSQSRH32HICLqBHwVf0ZdITMskCYymYUNDR+/PU/AHDRf7+MUAlJfuOLL+efz3mZ92MiS8iUJEvWXM5a24rtKsI+nSdH0nS/4jxOHC8P+Dv+rt9z/F2/x9INrvvq7xDKpTXoYyLnICbT7J6wOPGUU3HvvrOu+y/eBzC67gjieWXfiG9KMbbN9CHnEIjT9p5309s6NeboumTrWJqQqREytTKlfUMK/Lok7NOwXUjmbE9VW5fFCnoiNR5BeyJjsa4jwOHdwaIAQOla2u4f/9bb9tc/0fXLHyCVYvQFLyN73oVe3Yp3Pf07NkvWzUo/X7cW8bFKV5CxXaotHYZNHZHvPcoCaAQoAS0BHzkXEtk0y2LBsjHDcRU5R+H+/Y7q9ZgBqR9+h+BrPGKxUorJnMVo2pp1/M45itagzljKZjRl0R40SFkOmhRYjluWNbUSQ4kMPl0jZTlkLJeIX0PgEZFbg2YxyODEZVHu3RknkXPQBZy8uhVdeFl6Cogf/2yi9/y97vuVAv6Yqd1mX3PqoVx9x6NE/DqG9FTmC5kTjNG5B9kWnsaG8y6hQ5O8+Ji+komVoj1o0BrQOefATlCebfbPHeP8a3cOQxMcvzRCwNDYOJziT5tG6QqbHN4dImBotPg1RlLTg+R9+cyqlqNIWg5KKdbvnMBRcMqqGLiCWEBDCsFY2ua2LSMAxHTBnx/ew3HrusBn0BowWBI1aQ1oPPLUGOv7E0QMSTKe5mXH9bG8I8QN9+/mzxuG2DWWZkVbgIzl8NjuBKce1EnGUnTHAnN+dnPBFVvu4A3jLkcftJRte0aJhgNkND/KzpEbH8Z/0JGsfdHJ8KsvL8wFly2DkRFIeW3LPOww1v3hJqBxMnApbMflji2jPDWaYs94GolidVuAM9a2c1DXVHCnUoqP/e4xXKXjeQBRAAEAAElEQVQ47/AlnLauE12b21qVEGBIb01dCIGvJL2LwFPVbqKJJppooomnO5oE4SaaeJpDlMzc6zH0C6kBHaXQhSBtOYAgU4P8W3YuXtqijFUeJVyLCJS2XPw11BSq3ktdR+XrMkNFPdUSgZCCXIMkJaUUKdumP56t25kPXgRxxDCqLmjsY2Gx/QLNR7B3ETa1fUZe2BuQApa3BBhL16/6sS/QHjRY1RZgKJ6uOxXqnNDsZBYFWUcxmMixMmaSytpMpi2yjkBKwYrOMCu7wp4DXVQnChiaJJF1aPMbdIVMdk1meXzXBKmMjevCWMZClpC7U5aXEiDq1+sO9tGkpySjSUFf1DfnVLoLhZSt5qQSuLcgBU1yMODupVH5xOVRQoYsLl7tF+Rgym3n/RXzrV4mECaUnJz9wMXGfv6cYW7KpqXYH4bggUSGRM5pKPvJQkO53vftQpny6a6eDK35dKNZxymmz+6Jmv82BOECJrM2Ak+dLp61Z1x4XgzMpJIthZfOvKYi3fq7WXblOz2iopRMvvTVcNmbZ71myrbxaZKAodMaMIqL1Nn8PFlBXSp4c4XT1cOO6/6K8cRjdHzpE+iD/aAUdmc3I//1QXKHHF7lrOrvZeCbP2fpC05Gs7z2We1pFs7cctgJJHqWTdtv2A53b60dpPjnT/+YC694bt1KxZVwlSKpFL4rrizb3jeLOq7YD/qhIqRsmBA7X1j1BJnXcUjAkER9OiMpi4hfYyw19/lbKuegS8HoSy+h4yffqfs8RynuzS1cppkp1NdI5tuWZhuHHuqfpDNooElJfyJb3D6esWkPOkU1/GpQqkGCMKqovjmWsmbTQ5gRBbVKgfedlmZ96QiZgKpb7KASQUPDr2s8MuAFHMzUN5WiI2hMC06L+HRPYQ/YPZll92S2ypnTS6tGZvZpAkOXxGvMSxNVfK2JnM1AYqpObUedwuHUorpVr1mhdi1Bs4wU4h2gWBoLwKtfUEdptZGdwXg7/Khj+O+PfqaucgrE6YDhkaBKuVEdQWPasaPp8nY4kbHLCH9CeArlQniEeKVUkYyqS1HV9y7wRClyswS5xTMOk7joUpCyHBylyFpu8doKiCdzRLX/z955x0lSlev/eyp3nrg7mzM5g4AIEhRFUFHBgAGzFzFd48+I16zXnPWaUTFgQgRBRRBRyTmzOc5OnuncFc7vj+ru6VCdZmeX1M/nA7tbXXXOqVMnvud5nxcMTSEeMUlYKkMxi5ihkcnb6JogU3CwPY+CJ4noCiFD45glMVRFoFQSyovv0/PIvfS94w3VQhoDg+z82Z/YmcyxM5lDU3yl8FaIma2Dbzfrhe2OIGv6LHpDOhnbY1cyx0wF6fb+kVSxz1NUU7UD+77EPxPxpGT7TBZTE+X1UsLSUIsVVKfoWCPA0hmqn3KRqBU5VKrG/uZzv6q6d3HchIrxwmkwns3kHVY+57hZJ4OAEuiOzYsvPIMNV96IJmBlr0VY1zluqU74yDfwyOc/0/GbJS/478DrI29/P4s+d1Hgbw2hqix661vLRjzX83C90rpWlm0Wi1/xXPTxeva7tWQZkz/+Hal8/fq3P6wzkfXJqpWE8VKEl0rIU05n9ymnEy5G9yxfLw2EFZVbUujNOxJT82m8laRgRQhW94WZzNpVCv8Cv72VCYJSNoym4EmJKgSWrpQJv6Wyq0WF/wURE1NV6t5lTyK6yG9/HYoE4bChMpkrtO3cM5lxyiILtUILCctXoK2d//vCOoqAZN4pn5vk035dxkwVu2Ydc8xS38l9IKyTczwc6SuHW6qCUAR8/mtw8lFtzXNZ6XF5Jk2myRyUmp7ElX50qtEiUTluav45Z8hqq15qUcptw7nnc/KqHgTViw1VCM47bAiBKH9bVQietryX1UWybcZ2ydouyxMmy4rCFFJK8o7LjVtTbJzIsd9AmCUJszwnxkyVvONh6IK07e9lS9/i1u1Jnro8jpCCguvxyHgGpCSmCK5/YATHk+QyBTB1ekI6W6fyCPwIFpYK2zaNcutUlrWLYjxU0VwyBZfpTKGs9r156wR/u2ULLzh53Zz3Z51CAEucpN/fsnlWLOmnb2gxy1YNMbVjJ/dvTTKQHEVX959z9JmSWFfpHPrQf//Lv155zx68w47pHDdsmmD7dA5LFQxaGv9+cMQXPlk7QOzABdXiJOMZbts6BcAd26ZZ1GNx8OJE+fepjM29O6Z5cHiGobj/26pBP9qiK6F2dlcVikr5s9dKpvxH+9yjiy666KKLLh4L6BKEu+jiSQ5VQLvHFo7nsn0mhxCQyrssiVsMp/JYmsLiuEXc1FuTeWt2FwLfcNnIeJSzPQy1ZHSR5c2YUTRAV+6JC64fgkltYPiszbcRTE2QtStNy+3BN9xl2go9WYtMgxCTjcJSdtHF3oSlK09ogrDrSRbGDNj1aJckGEviJr0hjf6wiiKUvUoOThTVOfcangiGl9tuYvmH3h54eDFx3mtJvfoCwCfWr+gLMxg1sTSVr/5rMzunKw5VRe0BZc2ftXA9HhhN88hICrvgctCSOIcv72UiY3P/Lp/cnitUf7uM47EqbjQlCBuqYFmPRcRQ6Q+p+8zI2RqyrLb8WMUBCyKPdhEeE9jbhMbBiM6Ri2NUht99LEE8DhjCe9qnL/3oj3jN+85p+/7OV81d7Au0e/gxkX3sOmb8/r6RwOur+/ZcxefRmPsklBUiY6aveNRqnTffY64qIKSrGJofYtr1fMJAUASC2Dc/T9/lv6m+6Ln0/PIn9PzyJ+SXrmD4+79umNeO6Rz9YZ2HH2Uyt73fQez6ziV7nM72y//JotecgzG8PXDMk8Btzz6Pe89+TflaRFeIF0nuOK3JSclEP7Hp8Y7L5kpJRkpu+693olrV/aMv1ML0O08M4Xk5cD30MLjzjn2asa4JDE2dkx2nEj2WTq9lkHO8PSIHA/SEdKazNulXvp6Bn/1f2+v1gpT8LF2/nq49JN9b0FRBfw2xMVVwy04BpbJEDbVqK6QIUUfe8/lvAonEUBRsz9e6tj2J7bkkrOp2rRSJlkEYTuVwpSyTcUs5jKYK5FwPpeS0WfGM7UGqOF6rwnesrESPpbUduaXWyS1mqjiuLM4JheCH2oShCu4e7typq0O+dPO0Aq7lXUm+Cdk/6EvVCiYkcw6TK9fRu/mRtsuw7f2f9NtGwOQZMXQSpiQ92fkYW4InJfcXCqjU67C++yOf5I0X/jdStrcu9gmzft/QFFGl/LswWr/OkVRHHFnbH0YRojzHRg2tSFrLAr5y/sELfJXgRnsqIeCumvYT1DT+8sgE0y3sRkouz+aRFIv7IvTFLExVoTek+yRkVRDWdXRdoSdssjjukCu4zOSd4D6QSrH83GfUEUkloI+NsuKM4ygsGGLXxZfN6zqpUlm6lOwtO2ZI5WfHsOU9zUl2ByyIoCmCtX1R8o7Hf7ZOcttOf1y+rsZJ6NTVPYFplMZrga84m6wwK/miLbRcIHqeNzseCyg4HotjIVzpMZWzqdalFaiKbx8srUtztkvUqOypklNX9+BRinIo8TyfFLtlqtqZ4NBF0apOYKoCU1PoO/24purdldfXnHk8m/58E6ams2og4o8ZihLMlm2A0h61L6yXH9EV0IqO9vLMs6BDgnDvf24h57ioij8n5W23rL6tCEg8cBc973xT4DtJwNyxjaHTn8KWH/wSlqyqSns8Y9Mb0ogYGksSIW7fMe0/1+R1a38SwNaZLCsS4aJ6pqg6P/MdFGXxrE0Wy60Q0hRyuldFEDY1tWqfErdU+sK+o2NpTBmIGHhSlsl3tedxuqKgKbPXDVUtt28F3zm0kep5W3B9lfvSuNsb8gm/7Tq+SvxzwFrHzdJ7m6pCr+WvWbIFt6FzcLSoTF271io5h8ZNlajUKLgeMzkHTYF01mH5GceV72uGvJQ8ZNt8uUK5uxnGMzZhXSFje+VIL5EXn8/AFz7e1vMlVL7O9OHH0S8grGuEK8YGpdirg77ioqiFEB6bJ7O4UuJ5EsfzxzCJPzdJIfCAB8cyTGRtXnzoEEjYMOnPbaUIsEL4Y1DG8QhpPhH9nh3T/OqW7awdjJKI6Fz38EQ577u2TvKsQxehK3Dwkhi70wXCej8PPjjMXcVoeXkX7r5vJ0t0Sf9AjE2TuaJzkT/DZ1X/2//1pk0sO+cdnPXbr3ZUf3OFqijsv2ohiwYTTExnWLwowfLVSxjqCVNQQ9x+6z28/f/eM2d7Ru16655lyzlk29Y9LziwdTLD927aVnaGMx2X324cL/eN6x8Z4+T9Blja58e7kVLy3etno/RYusKawVl14Zzt8q5f38XGCntC2FC57C0noAc4HJTgOyfMyyt10UUXXXTRxRMOXYJwF108yVFaLLvS3xwMJUwm03aVAb/kVTiSLlQZtncUDSDpgst4ukDMqD4ICELt9jxTVAluRBAGAr3pS4aFWgXigiuhSBSeqwJHp9JwUkpyrstk1p7zoZLtSiSyTtnJlc1VlgPxBNz87MtXegJWX8foRP26HXz1Q2/lhit+V3XtlLPP4y0f++K85tMuNkxk+MvDcz8U2ltY3mNhux47ZvLsmMlzxKIovaG9F/soXmH87yIYi19+JvqE31aCxoaBX/yIgV9fzEGbNtaF1HzLCSu46KqH98jJo6ygNJPh1utv5sM/v4hlnsfhFfdI4C+v/QC7nnIK4B8m9Viz6k+VWJawWNtvVr3NY2XM2512GoZJnTPmmVVldWORAXufCPqUpfFihIrHJh4rfaYZ9vgbRaMdq5FsOuS4Pc31UYOA4kH5vsfixNyUfNpBWFcfN/O8ohkd3T+dcwhpCtk9WLNK/HE9bKh+EOAGHacRMU9XlfK8VbuPK4fwls37kKEKlLAfkrdxGSS9rQiejVDa1haJb4NRA9ed1YH3ijYAS/cVvyrLb7ztjVh331ZOpr5UYG7fwtKzn872y+pDAicsDdeTZGwXs7g3r329SvWtdtBsWq/li1Quy6pWPYHXZ7ErWa0i5lehn3DszlswhreXfytIiS0lYSHKqodHXf1LHnjOKzhkaYJoSEcrqiKCZCTtsP/CKA/tTtWXH59ApSqdrTVsKXGRPOK6TLznIo563ou46iH/cFxV/Dpp5pANNGQKiuL/9nQ5pauibYefyA8vIX3UgR2lr737g41/bCPb/rBBSFVJWg47pvdcfXdBxHcW3J0KUl9tD47nK6dN511ya/bH2vBQy2fynsdddp4HnOr5bOmKVQxGdFzpK+EGfe1mguZC+ORnS1XZPtO8fhKWgSaq23DOcdgwMRsOO6yrVYqa4JOQmtnSBsKtnWajpoYRYDdTBWxv8F0fGc+yI1AlFw4cDDMU8+emIDKeEBDWFQSCdIfr1j0lo5dgqgoFx6UvrJMpuHtsxxH4BDdF+ITp0v423yrdOYwRtYTrUv6VsD3JZe/7Bq9421norhN4T2X2+cXLkaeczrKeEKbexCFDVeesVK4IwVOtEH8ZXMyw5/CVAw/lws9+m2g0ykDE4J7dMyyMmj4ZPYC5Vzkf+Urhfn9R21DBHYqGqgjCWdtDCEF/RGcyY1cpvJZQmr8kHumCV3EFSsuO/oheVdaggDntTE3bt01yw907eeXp+6Mp/jfO2ZKwoTCWLpCwJLqtksk7aIog73psn8kGprXi3GcA9d+7krxrjAyz5KVnsOvXV7UuHO0309r71DKNsT2MZxyWxi1m8gX+8sg46Q4jEwKMpPL0hHSkJ+mPGNiOV375QpsRKDzpqy6WsChm+e3Nm3VWq4WlKcU1px8xcvNk/fdRgP6IxmTWKTL9RR3BM2aoHLQghqYIxjMFLr13N3lH8hrXbWtvWbpn4yW/JvLq8+gLa0gpSNsOS/5yNTtOf1bLNEolSn/9B1WkzriplQmTAM47PkD/Vz9TlW+j9Cb3P4ypjCStZH1SLAJLV7E0hZW9IdLbd5bJwUFpVbbfFa9/GVt++3eIzDqh94V8BeHJrEPMVFEVgetJlOKfQQgi17qeJG07xC2NrO2hiPbWlpVDyMKoyVDM5K5dsw4EMzmXEnEypCuEdZXJrI3rSQxVYTBSH7EiawfHnyo5LoUMpUwAnRNUtbzGdDyJQGFVb5hHxlNNHaPCuoKpqUxkbHpDOnknuE/kHI9c2mtKao9bGqkAcnAJuiIQKIylZ9cbnpQsfe5JTQnztfm8Z3K0bZEnVfhzysNjWZb3mDgeyGeexcAXPt6RSERlmz3qI29h+uvfZ2rdoVVCR30hDU0RDe250hMMRg02TdSPJ7vTNhvGsyxLWEgpecHBC0HCWDbP1Q9PoKuChKUxmrZZFDNY2x9CK86ledvjZzduY1HCZNNYGnfE48ChKA8Mp1g7GMGVkivv2kXYUHnKWQewfiKL50imMzaHrehl8YIo3/79XUgJpx25lLt2Jjl8WQIFwcKoQTKVY2uywHNP3o/VQzGmnMPgt1/d6yIbEkiGYvT3xdlv/1Vs3zXOQeuWEg8rrF23js0Prufnt/943vO978CDOPiB++f0rCclV969i0cms2xPFljZa+FJ2DqVw7A0PAmrByKEDYV7dya5a9M4W3dM8awjl3DvriT/3jhL7H7x0UsxNIUNIylu3TLJ92/YVO7jmiI4fnUfLz92ObqqFK/t+bt30UUXXXTRxZMNXYJwF110gaaA5/obkJChYWgK2yezCCQ7Z3JMZm0kzRVHJrI2Q1EXTRWUnHQ1RZQNlKXwQkGGrILttT60aoCSgcTU/EO5QjEsm6o0l951vCbGhw6LIYFNE5k9JmOMZQvYroepqfSYetlQ7Lg+iTrfwKgSWKAu5gz3sRDr+VGEqYmqUGZ522XLaJrVC6Noame77it+/j1+/PmPBv523WW/4LrLfsHr3v9pTv/o+/aozJ1icXzvkXHmgh5Lw9IVtk75B5eqANVx2bBzhmPW9O21fAvzTAR/omHodS9uSg4uX3Nd7l+7jkM2rK/63dJU3vq0FXz1hi17XJbnfOHtLBzb1rAsz/7RZ7B/+gV+/rU/sWUyFxg+U+CHu3wsQkrJjum5kyj2FRJGa+W/JwP2SOGlDcw7UXye8fhQEBY0K+WVbziF6ckxZqSHB+jAAlXlwDd+hHXPegkAv33XFzn3S+9ueQBSUma6/sLO1GgeUxDBDon7AkaHZMBO0CnRcL6gGyZ2obMx/ZU/vKGj+8cztj/X7SH/eThVoMeam1ksaqh7HHFjIGzssdJoJ6glRTTEvXeyogk5uPK6ms8z+N9vYPQr3wf8Q/BESKsjn/SGtbp3zdiSW7bPT/SAdkOMt8LqvhAbAw6wo8PbOPeT7yLruVyVzXBxJsku10XBr4tnWGFeGYmxn27wiv9+Lnf85p++Upbrj6KOJ7lvd5poT4hTByJIz+OBHTPsnsljaApPW9ePVBTCk/XhqBtBFpno33vpW4me/HwANj40e8Aa1hROWtXTOspTABKWxomrB7j2kREKrtyjuVlTwPP8KFAFx2vtPLdgIXJkd8vD99L8ZL78lXMuG/hhkAueVxcWujavVsg6LkOaQLgqQ7E9IwjbrmR1b5gVqoL47R+YftpTIJ1CSlmn+gWQ9TwedmzeO1XvBHvzXfdz33Ay0HmwhEZrhqihMhAx6QkZ2LrHSDrfdL4M+mamqhIzKwjAATcF6861SLgGaiMl6SbPNmvXhqqwMGoyWkXomf29EcFuXyJmqYylbTKOjakKIrqKhyRqaEznbDzpr9sr1UgVQdmhoRYlu+/sWl+W1Q/BDwcepJpc7/7RGkH5K0HMVODnX7+Cc99/HtGZiYY5pY48juT/fp2QEBhl+7KcVfOVcva9zj0PLvlJx2WuRFxViakqX9+0gW3RaNVvu1P5tvq/oSqs649gqEpbpE9J9Ty+o4KwPxjVGU3Vf5v7R/w5Vld8VewgDER0PCiTKGtVwAG0gP5VWmWWSl4ifRccj40TWY5b5hPso6bmh5K3JVJ6uJ4kV3zf1b0R7rnrYQa/+DHUiXG8vn70u28Hmnf70pilTU/CvXfCwUc0uXv2meo0JWXan99IgttXh0ywG7dOEzGSnLSyh96QzpapWacgVfhOOyW10kb7rKA21BPSmMq2v2asHd5K7T9jN04j53hlR4PeUGMRmNp5qJK8WooCOZLKETY0JjI2ris5750vaLvsJZz+0y8Sedfr2DmdJVlUo1+7cBnRd/w3ya9+xS9LwHOl0oy/+JUYhx8JFeNW7Te2n/tCJqZn6PvxNwMdZEvXJtccxK0XfQ22JzlikYuuKiRzLv/ZMM54soAQ8KYPvKhhmSpRar9LX34W2y+7DoFf35VRXZJ5F13xncd0VaHgVpNUpfRp66pQqNQzl/jfcctUFiHggIFYYBmC2rqqCIZiJoMR01eHbjIsZW0PQ1XK3344mWc4WT/uHTAQrduTCjHbPr09tP2It7277ponZcNvEDNVdFVhImOXFU4nszYDYb3KAUNKScaR3LrdJ0ifuDJRtc4opTOZtescmDSFcvSQZM7G1JS6/uxJUJ32Iwg4UvLsUIRfZ+qdDCtx4lkvYihq0hc2uOTOXazsCzEUM+kL6exO5kmefiaxv17Zdr4llNps4m1vIPmXm6v6/ETWYSI7zeFDiVnnWSmRUuIBI+m8X8cRvWrtlLI9Jot1vm06R2/RudR2PP704BjLey1W9Zo4ngDSmJrCzduT9Jkq922bYtOoryg7lsyjayo5B47+wWd48/qb6x2OvmLifuVSrnpoiv2iOrtGkvQIlb6YyVMPXsQjSQchBKmcg8wVuOrGzZx26CKiOZtcVkMUj5nvePtFHPm1zkjWc8H6/3ofg6M5bvjPPUQsnX7NY0lU46jl/YR+8JG20mi0Z2h4f6p522qELWNpvvS3R3hod5Kj1w0CsHkyx9p+XyE4FtLpi+hMZgpkCgpHLI7x/T/fz2Qyzwd/ditnnrC6nNb+C6Msipt86Pf38shIirFUgd6wzukHLuDk/QdZtyCGUWQEK8Lvaw2Wjl100UUXXXTRRRMIuQ+JUMccc4y89dZb91l+XXTRRfuQ0g+rApDK2Vy3YQyAuFmv7tEIK3pD9IcMBIKC67UdwrBjhdy6533jr+2BrvqholqlF5SnrvryOHMpykg6x+gehgYM6wqL4yHfYKjUk5BMTcGTrcNt77H39WMQ0zmbn965a5/ktf9gmMWxzlTMnkjoD2sMz+QZTxa4Z/sMd22f5vClCU4/dGFH6TQjB9fi7Ld9nNgRz6Gs0VVs4iWhnlK4z0Z2DSnh0GUJHNXvN5W3ldTEKg29QgSHWPRDZAkyBWdWuXUvw9IUDFWUx9mEJrhr8yTj6QIn7zfAU/YiQbiZh/98YXnCIqw/Pv3Rcscc3NH9K2+5mejQUN31vz48wlUPzV2x+vQvvYcl6+8BWpP0CrrJJV/9IwqwotciVXBJ5h16Qzr7DYTqVI73BGFdJWO7TBQPqYQohpYr9ldNERw6FC2Gm5stfKl/V5Yk53pMF9PxpG/8bgf+IbcoCv/L4t9FuZ8rwj/Inso5PDJeUi5rcPAnSwd0voqjBIT0RfVKZY3qvoqLJ2XxQKbm0Ln4fqXfPAkF10MVAq3GaikELIwaPGVJopR9YJnqPnrttcoHRc09raoxIO3qJhLcXvKO69MFKgfWYp6tiGS1/xABv/9lwziTWafqdWb/4n8br/jBgtQiFeHTYw8ZinD4UNCBmKgqdmvMHuCWvnX1L4IdMzl2zuSr6qCu/IGlmMWyhIlQmheq9nNL/EO1HTMFbG+2nEiYzDpF8tjss//52Tf4+4++QjO3tuWazudv8R0bjL9ewZIvzRJ/g5qeBLZedVPjQreDBicscVOd/aHFBxMV71lqy5W3R4pjFlS3G4nEdX0FzhJdpiHRpVmDmQNvfGVvGE1RfbJOG9k0OwAPum84nWOiQi2ybrgQ9cWuHX5FRfUH5Sfwx+0SUVEAqVSKV52wrsFbBOPC33WmVjMUM5jJOeWD3bniyMUxeqy5O3/sqYpxf8RgfA/3kJ0gZvrhx1th2RnHIYrzaiuU2sT2q2+iN6wzkbED7QB9xd8q4Uq4ftNUGyVvjb1NEH71hc9mi13ggslRsp4kW9MbFEBH8JJwlLdG4zz8vJfzn7Ne2zSvkCpIGApjORdHwlG//CaHXf/Htg+cSyX48beuDvz9pJU9bakqDUaNOnLs4YsTRE2dm7eMk7G9MrEobKg4rmQm55QVikvbqoSpsnYgVjWOKKI63LSm+Orbrew108cehlpUc2s29v3qi7/lsP2WAHDQggi6onD3cLK4fxQkLJWc09yeFa6YHxohYqhV0bQaYUFEZyRtN50SoqZa5ZAbhP6wzoKIVdUH0697Fdx5K66UZKU/U6nAhOdycTrJ5dl0nc/EosWLuf3+TUxmC9y3uzEZv1F5l/eEiOgamgqe569n7xqebpjOAQuiRbXNaigCpvIFtk3lAt+/P6wHEk9LqCWVBGH/gWjZyb4SqgJ3D8/UXZcS/r11uiHh+bhlifI6XVd91c6pfIGJjF2n1FtJqMw5XlttpRUsTWmqCFwi4QWVv5366o/ojNfck2gzwlCts8lcIrhFdD9sd+XaWVdEeT0Ls2s6WdxzeVIS/8i7CN14g99mhWDylW8i9YrXsazHIm40t+NV2oE7VSoPQqmkE9feipR+WOxOieP7DUTQA+y/jbB9JhP4jfrD+uzavGLPVNqrqsLfGwShP6JTcLwyiV9ThE/2LY4zlelIKavsa5VIZW1u3z6DpqvkPVjbH+LAwTASn0Aq8dvYVFFxVP/rFSz44icRsr6ddzIPeggy/5x1airbG0T1fam8Uybmlq5dt3GqKr1nrO2lrypqg+Dqh8erzkWW91hsncqhFxfwlqZwwIIIivAd/wxVENYVVEWQKrhsn85TcDzGMj4JcVWfhampDKcKrOgxy3YCX1G18exRsnPUOusqQrAgYtaQW/17s45bTk9TFGzXLTuLlPdK0ifn154RK0KQLrh145mpiaJy7Gx78tcJ/t5NCOgNFaNjFNvQ7pTN6jOPCyBpN4cE4nc9wNbJDIoQ2J6HqSlIDzIbHmbw9eehBNiOPCHY9N2fw9I19IU1QppSrh9DmR2vpAAV4dt1CgXMC1+L+mD1nqQQ7+HeT3+P/MIhwrpCuuBx4GDIX8sUXO7a5s+JUkpOf93pHa/hxq+9lZCmMNpk7Gh2blY7V/SGdCazs2T/hKUTM9Ri2/IJ6pVE15LN3PUkrpRULgdbzfk9llanBu8hqxwCD10Y8xXdiy/sSVnVDyvfL/3fb4brr2uYXxAitz9Q9W8pJdN5m7zrVo3HpqqgFwVRgtYcqiLQFMg7fpt9aDTDruTsHs3UFE5YHidhaUhJ1RyoCn99bGoKheIauYRG65vei95N/OYbOuoPOx2Hs8ean41deudOlicshmJW2RkjWbDZOZNDVfy+G3n9y1DXPwzMjeS6+83vInv2S1GEvx4YiluYioIQMJmzGU0VKLgePSGtbl84EDG4d3ca2/VYP56lN6SRKbjki31yYdTAk5JlCYu+sMZBC30HnB/fupOYoXLN3buwdBUpZdW+8oilcV733rMD7YuVre3vR5zBZ/tP5txT16GHDCK6Qqrgkco79IU0brp7Bw9tmwLghAMW8O8HRzjhgAUMDkZZuiDGeMbhxB99mv3uu3GvEIRlzZ+KEPRe+hsWH3uMT2BOpdh84EF7IWcfoZNPZs3Pfhr4W6bgMJkuoGsK2ycy3Ltjhtu2TOJJuGenv84+cFGMhX1hko5kUcxAAS6/dXv5fQ5dEic5mebqm7eU0z3rqaswoxZjqTy7i30uYqicst8AT1s3yLEre8uCRSW7mdolBnfRRRdddNFFSwghbpNSHhP02+OTsdFFF13MOyo3S7tmsqjC9/LvCWltE4S3TGYJaWrRe7k9mNqekYMBsrYkpCvYnoft0lT5BYIJtHtCUvakbEhcbAdDMZOC6zEYNgMPNGrzejJiHjltLZFzPExVlD1SIdiwEFSkSs/cWnJJ3vbKBo/HMgSC2zdP8c9HZgmNOcft2PO4XXIwwGVfv4jjPvP0jspZi2WDEWbcPVNgG4zoZaPsyl6L0XSBvrCOqSo++QUCQ2LNFb0hjZipsXUqh6kI0qkcfy8al5f2hlgxEJ63vIKwL8YTTVUeNQXDPUH6Fed2/Mzm45/KIZs31V1/5rpBHhxJs3lybiGL2yEHl3437DykUnjRKJsq8tuVLLDfQLh86NNuX7Y0pRzW8J+bp1jdF2J5j4XtSq56eLylAtyimMnSeKhlPoaqEjcaK9TsKWwvW1bofixBCNE83GPgRNPBPZ3OnW3eH9rLpH/Hk22RE1rhwMFoy3Ca7b2yaPpP8BVi/vTgWLtFq4MiIGoqBOu5tUbMUNkwmWvazjfdcBV/+9GXaUVb2OrYvPcpK/jirVtwnnUWW551Fotf+Vz0sdFqIikw8eJXknr92+ZU5io0eO129yDtQIE22tW+XaeVxuK95asj5T5W5C7OMVY4wtrDjmZ9UYG2Fc6/+Oa27lvbHyJV8EMTz+TdPSYHAwghSRQVhEskibzr1h1cByGkKw3D/bad/75uc23eV/A8Qm2u30pUlsS//87YU0+r+z1i+CT4ZG5+VCcbYm9WZSrFbsfhjROjzMjgqD4ekEdyaSaFJuCCK37ZkiCcdSWF/Kyi7kE3XNFRsVr5Jdy3O8UJKxItyYpSyjpVwn9sCHZuq7SZlPgopXIoimipVux4LaI5FXH7r65l5Ttfx+DWhwPfMW+F+cVnfgmmyU3F/VPpz0octyxOWN93e5GSw0Arf5JW8MNkVyPyQ//APvPH3/Pzd7+FOwp5JjyXTQ32wNFYgm/9+VZu3jbBsp4QYV1BESJQ+bxRW9o65e99E5aGpbUx5gU4/Fi6Qs728DxfAdNQlTqC8HyYezp1hJTI5mrIwrczSumv0xRdMjZRoOBKwrpSthdNZZ0q8s9gxPD7A5C2XSxVlIkNQU42s/lRtQ6czjmMpu2ys3TtUyt6zMBv2W57FwGv3s4w2hvSiBiaL7AgBFFDZdtU5zYSQxN1hNXekNZyvBr7ny8G/9DpHNA/COPtK7YHodRvkrfdBoccgTWHONedtFoBDZ18mhHsoXkI7lqiuOPJ8hjUqFo1RRAuRdcp3pRzJK6qlgmGybxb10ZL0QV7vv1FEpf9Gtiz/i8ABVn3DiU0I68H9YFk3q1TNK0d9jRFcOrqRFHMoL70PgHSLYuPLCoKUKzotcrphXSFhKlWzb0+kbC501gQ+d/SFAbDs5GiKglmplpNPn9kKh04jjdylOkL63V90lCVur4b1pWiSrVvOB1L21XnLJpCx+TgEr79n20cOhQlbqlct3GKtQM+8VxbuZYdV93IXbtSrHrkTpbcfC3TpzyL2xcd7O/5HGDzFCt6LZ63/4JyekHOF347seCS3wL+eHzv7lnHkn5miZ49lr8P0YTv3LVuke+QHP3htzp6r1L/St15F/pRR9Af0bFdj5mcX9+qgN6wjlck79quLDvBlx00kf78VCT5ClF9fpJ3fAcvX4HVT9NxJYUKW3BpPzOXaDpC+GNPyWYIJcX5WdiexKs4gwsi9WVtD1WB/m9+h/FDD2i/AMefAIAnPUozqEQynimQczx6QzrTWdsnRSvg/voSln/7SwigpPsugckXnEfygv/G0jW2TGV5YCRdl5Xjeoii478Q0KNo2K7Edj0KriSZd2cjJRRRq0pcichdt7T/nkUMqSo6NLTnvH1giBVnHAfASPGaB2RPPhX5wc+SdyR5x2PyGz+l9xufJ/6n3zQ942qEwW9/ifAbXo+uKOXxseBKCp5XdOCdrYfS7wnLV+EdTeXRFcH2aX+sm8w6rOi12DKZY1WfxdapPGv6LJYmTHK2w5aJLDnH5Yy3nk0om+aZxXS3Lt2fL5zz4XI+JXJwM/OoBE678yomn72M9c5a1sVM1u9Msm0yy/Jeiz/fvoXRCnuaKgRPP2ghm0ZS3LZ+jGc9dRWaqbP2vhs7qK25ofweUjJ57jlMApELLiB98cV7LU8JZP7xD+5Ztpwdi9fynmMvJGSoHLv/AoiEGE8XeM4hQwwkTLIFhx/+2yf5agqsHYywfjTNA7uS7JrOcdiqPjzb5c6tU3XriN22ZMVQjC3DSXqiJtGYRdb1bcCnH7iAUw8Y5JgVfeV1tmBWKXhfng930UUXXXTRxRMZXYJwF110AVA24HlSMpm1WdEbxlLVjg7tigK8DXeVlqagCMqHuarY995+IV00UNed24miJz0eHku1DpPZtEwq/SGz6T2t1EOq8NjnoD6msWUyx379oTrDzp5iIGKQ34cKYXOB7Xr89b4RNo5WG8N2TuU6Igd/71Mf6DjvzVd8h5VnXdDxcyXEwgYzyfmr3y2TOXpCGtumZsOAre1vTXSsRMLSGIzoZTJLCY7nj7OTWYeJjE1cE9z0yBjZCiPa849cRNjsLtMeNTxwX+fPuMFjhhCC/3rqCj569cMdG92f/q2L/DQ6eOaV738JP/tGfci4f2yaQgBHLYkVVTkbQ1MEadvj+k0TuBI0AY6Eu4fT3D1cbyxvhOjjVD16X+FJ6vPTEp3MN81w30iKoxbF5zXNRjD2cEF75OJYQxXdtiBgTZ9FSFd4aDQTeMudX3lPS3JwCVsdm6sv/g7PPt+fl3f+7E9zLFgXTbEn3/wxjs9cfDmfuPDl3P3v65red/7FNxOtCc3dCI4nGZ7HtR74e+Cc7ZGvcDD1yVWtB2hDVZhuEqb5MYk22tuuu+9k2RzGzNBX/hcCCMKqEFUqW48mnrG2F9eT/KOoGNjuNPzSj76az6emSTUgB1cih+Tn6STnhNpr15WLASVARXFPMNFBKPI9wd5azlzx/q8DsN/f/8CBN1yB4hQYXnMI/3n1e+c1H3ce632+fDKmcw79YZeQVr+WDj//hbzr+S/kS5/9GN//2ucDn7/w41/l1Oe/GEcCrmRDMZJGSFPoj+hMZ2za8IOoKo9rqIGE1FbI2x4hQ2HjhE3WcVnVW7+nlns4F6pFwlS7zpALogYTGSdQ2Xw2TYW84xEPaajCV8r21QF9B5WM7RHWlbL6YonMVRlZTBW+GmG2hYp1EHYmC3VruuU9FgcviHDfSJrlVNsQVQEJyw9RP3cHmiaEaXxixkFDcXrDBqUJJZmz2TGdq3I+VhVRVjgukZ7zjodbcU9QX9mT9XqnXS/y1+tJH33QvGzIEldfzvQhR+xxOi0hGtQbrd/f82BFT6j8wOxry4YOhoqgoa07WkNuLZWjEoFOagKMe+6YF3JwO2haLwGZBzWH2mbpb/vEnIlKuuor60YMFa0Ynajgeu3b/PcAtUVe/LIz0aZmHYImznstqVfPzS5b+7mztq8gWmonviNeZ8ITeelhe5KM7ZZJh7YjufyBcc46oJ+JZIGr79jJ6QcdTPSkE/18t1Q7C1US902teo3vk5rr822nhLVNJXLTDe28Uh16rrkS7Zgjy2IVhir8qFqeLJPBe0I+GdUPcQWPjGfZMePPNQlL46jF/pqzFM2qhFTBxfHyrOnzSbvB/bkJObgNlYJVfWFfFXbXTNFJquahmv2uXpwbFOFHtCtF93M9nwgdvvZfZE59WouMgaXLiXzrB+Ustkyl6bF0pvNOuS9NZm1ipooqIH7KMQ396Pv+8At6//ALbv7xn3kgU+1NIYCnLk+wOG4ynim0dMYooR0l/04hgM/2DPCeqbGq9qcAfxpcxICqle+rfCb8j2sJ/eM4tv7mGijuuyff+l7sd7+f/lOP6XgcVvDXSJV9XiDZMZ0t76krHVpMVSFTcLA9f57vC6lkHYNlCYWYqWKqgmUJkxs2T5OwNJbGTZJ5h/6wTvjpR9EbUIYV2x/i6199FRNWjNF1h7XlgFCaK1909ff46Zlnk7A00gWHdQNh/nnzJiRwzJp+Htg+xbLBKBt3J1nUG2LbWJreqMHKRXGk46K0kddc0Szd9He+A+w9E1IlkXrJzvVc8od34aBg/O1fRPp6Km6UbJnKsP9QlIeGUzge7E7mGIjoWIbKkp4QioDdOZeFC2IcsaqPq+7cwaFLEtxRdOY84sBFLOgNQyRE1pU87/BFnLr/AiLmbBsuqQR3lYK76KKLLrroYv7RPbXvoosu2H3Z5eSnZgiffTZCM+mzDD9Mlq5SsN22yKkrekKYmhKogKspvhGilIYifKOM68k9Vg8uoR31JlMTZO3g++Z6kCMQqIqC20K1uBnyjktIVZsayWzPK4Yba6tQXXQxJ/zroTFu3TJVd71WQaMV/nLpTzrOe/cNv9wjgrDjSf5w0WvZ/fBdIBRWn/BsTn/bp+acnqQ+BGMn1bCqL8S2qWxDtUJdgbgK28cy3F6jTrAoYREy5h7uul14sv1wuV3sGQxV4e0nruQL/9jU0XOr7r2p47w0r/H3lPhqLjM5B1UIhlMFDhmKEDX8UJA7ZgpEdIUtUzl2zswebndCICjh+OUJekJ7TxX4iYAuPzgY87WMuWnbNFunchy9OM6SuFVUnNg7i6SoofGigxfwu/tGWt9cg8Vxg7g5P8cMi2MGOdtjS81B/+jODQy3odhYiau+/KkyQbiLvYQn+Jr9f77zC/62fpLff+h8dj1wa9VvZ33k+6w48oSO0lOEYG1/mKztsmMm3/qBNpAuePx1/QQnreohVNzzPtnH5ne9+rn8e8Hijp8T+eBvMq8qwU3QKpeDFoTRFYGlKmXSU4n01wo7pyf4ay5DJyvm32VTWK1vY7+BMDnXJ1Q4oQhGJtVBLq2xL9vzXFXwW+Hh017Aw6e9YK+kDaArCvmOvm5jzOch9u5UnpU9jc32F77nQzz7de/sKM2s45F1PPrCOooQ5BzXV/Ntg2GoqXN7OQlkCx7r+iNIfNtW4E0tkEql+Pef/8BhJz2ToaGh8vWIoTIUNZnKF9hZnBsSlkbEUDFUnxhUi2XxMEvjkmU9Fj+8dWdgflM5m/tGU4Cg1/JDh4cNDU3xI6zkbF8dtbSfjllaHRnIlXOf6hfHjDqC8AsPWoCUsChuMJ11MMNFZWKfeYeHLIc/l0hfYbJCZbJkzxAIso5HWPdFIfx7aPodwsX3/NemCc44cCGa4jeaHVOZOiKopSn86cFqFfLnHtBfZXeQ8+wp2V5qfj3oxXnAvOtBJk44BlLJPco7dOJJxBIhVIU6Nqmv9CmryNEldo+U/jfx+Ytith8K305cmZIiBKoQ9If1sm29RBJSgGQrpXgg2iBiT184WNFbIJEIVEXQa+l+X3ZcBAJBvfL8QFTnGWtnqVyaEMStSruWQBEw9KF3VOWzN9FpMwtasxy5KFq2h0xmHSyteck1xY+kFTjW4X/LjF0draLH0pjagwg6UkpURbRts1x25gkoAXaj/l/8iP5f/IjpU57N1Ps/HviNooYWKKgRlHVl/TsLF6MM72j7MDrtefzSS3HU4mhZ4XgwoqMpgripcsOmKRZYCvsvjBItksqknCWclmAUFdxNFXQVYpbOrukCqvCdGeyaSisJyxw0GGM0m2c0FeycKGrmTWdgELZsaPPtZuEedAhuxZlbEFlXAHlXcsv2GY5dFsNUZ8/easfSWnNHzvECIwKamvDViEXxnQPO54SULIqZ5TlCSun/h//vkK4ylS0wmSmga36UAk0pkpy9Ym+qKc9su5foqkBT/XWYxHfaDA8MoN3xADOnHA/T1WTvEow3v43IBW8h73qkCg7DyRwFV5K16/ciybzL8jOOa6kuC3Dca55D4VfXs2HcV8U/YCDMmv4QGdtlKlvA1ERbUWb6w43JwZri11v+mOMJ/+sfLdOqKqsQPMUwOdG0+Ge+ZO8R/GvhkrKjVLP3W3HuM9hylW9j7gvpTOVs+jsqQfOyRQwVYfvOAVFTJZn3z5QjpobneeUzFiEEa/tCOJ6H4/lrhpCusDRhsqAYhQEg8vSjmhJ/JdCXS9J7z7/aL2fxz/jkMFudhazoCzM9NsOrXngkdjrLruEZDjpkMYVUgX/euY1Vy/qIhnSQcPNd2/l/P3zHHGvo8YPK+tbx4JlPJQ3k/nwDE8JA1RVsT3LSgQs4cHkvjuuhqQrpvMMtj4xx06ZJDhiKMtgfIeNIdqVtTjtoIX+5d3c53YwrecMz1nHgsl7WLYyXr/vj8qxTWhdddNFFF110sXfQJQh30cWTFA+95vUkr/5r9cX3F1U/jziS2I8uwZMeHrA4brFxIliNrISQrqI2COPseFSFlvIk80YMLqGVEUxTabiJl1J2HI6wBCEESxOt66cZds7ksaOSgZDZsByu55Oq820oCthzYXI9xrGv94R7pQYfB5+lURFffvyyfVqOTnHTB0/jphrlp0eu/T2PXPt7NCvCmy7pPHRXLVb0WmycaC905uK4yaaAexUgpgnGZ3LctWOmYdjvJT3WXle73Fd4YrzF/GBR3OL5By3gj/e3RyA8fFGUToOUtqMetGUqx5q+EI8UlcRu2BxsdN8TPHNtHwcMtKmc9yTGfB+MP1EwX+QaT8KOmTzJ/ARCCJYlLI5blsBQFLKOS9SY363w4pjFW45fxjdv3NbW/ZamcPiiKGGtHb2T9rGq16Q3rHHnzlmS2Y3vfnHHy5Dd8onlPGJqKgMRv54ztkfmUXaOKYUtfzJMlC/81PyEwiytw9Z0GNGhFVwJ1xUVZQ8bitIf1qjU5lnZG0YAw8lcURlrPvHYawCO9MhISaSDtaiUksLS6v1CSFf8/avtlv9eSyZqhTP37y+SGvx/CyG4ooZ01i6W91jlvfQz1/ahKnDVwxMtn1t0y3XcWMihCUG+zXm7APwll+H5bdw7kXXYXSSfbPqfn/Ca953TVh5AmaDxnP36ytcUUSJxFO+RkoGITqbgVoUR9lv4rIpbWG/gnCg6a6VbpzNU9h8qchXFtFb3RuoSrc1j//4Qg2G9mILPshRSVIROrxlAJbPx4iv+WBwzSZQc1ooEF1HxTqUZWDZ6SwFIn2g5msmX3qTuthKpzNJU1NqFTKmoxT8Xxyx0tQ1nUClRAxzwS1AUjbg1q7QlSy9YKroQ6KqCXXRmr1x32hUKbzFT9b9J5XuVP1/1t1yRqPqx5mZfGbCRra/EeRJQ5/wuBIFqvqlUigtOP4J8NsjeJvjKLy7n6KccT8Zxmax4djrnlB11IwGOt1O5AgVX1hHDqvLOu1yzu3qMOHP/fnKOS0hX+dsjEyzrMVnda2Fqoun4ZijVaqNCiEARBk0RZZJPwXUxVaVK4f7u4Wn6Qvqc1ME1xbfNNoPZTrsE8raLo/jsY0UI+op9tfSK7cyVQXfoik+AnR3D/O/jE539Xlb6e+WfvWGdeAPyazV8tdZKu2rk+psBSL/u5XDnHW2kUY+FZz+/XLdRvb4cmgJ3Dc8EPjudc+qUJmNFYlUlBiIGY3sQkazZ7JXKO4GkRFMV5F2JqQmGohZS+irVuYJHPoD8aiiCZEWfUjRRT5IrFFhRyM/76ifaQOHc8WRRsdePEDFTVa/17xw0zauKoNQzxtIF4pZGj9V4H+l44DQgB/eH9UAF0qmc0/C3Vsg5HrtSOSazNv1hnR5LJ2xoeB6kH7wf/nIlnPkCImvXYmkKfacd09TOJIHEdVejjY+ifPsHZQXekK6yNBFCejAYMRlL5xnPFMi7s/00ZqqUXl1CWUkcYPPXvojzwhdxgG60dQZjI/ne+DSX6i6KrtNj+fvbktJuwtI4db8FHLwkwV27UtyweZqQrnDK6p7ZNYEUJMIa26YzhA2VRVGT0VSB7TOZsup8zNJJ5p3y2sDzYGkihK4KEqZGpuASMRQyBZeoqbI07u9DJjN5MhVk/fx7LyL6sjPb/m4lJE87E9OV5bnKn3Vnz6lKfw6GNdb2h8g5kr6whi0tBGCp9Yq3AxGd0rpLejBTsMtzkCYEPSGjeEbmfzuzAeldURT6aiJe1pJkE6ZR91x/aNZFrtncUyJzO65HSBdY2uzZYey6G5ES0jffCH/8HSxeAq95I+FwGPBV6Q1NMJYuNFRADukKg894Skfqsse/4hnYF/+NwYhOr6WVlasNTSHf4ixTUCQHN+nHPSF/LE9+5H9ZccZxHavBhhSFL/YOcsVP/o7jSZ73umeiyIar2Lr3W/LiZ5G78lrGK8bmuZgkVFGMquB56KpCznYZz/hjUNb2EEKwMKqzO2WTc/y5ayCiM5l1iBoquipQFJXpjE3O8RXU1/VbxEy/Py45++SW361iad1x+c/61IV8+UOX0B/ROWD/hazos1jv2Kxbt5Dx6SwhL81+kTT7r+lnaCDMnfftIpSIEM21H1Fvb2FfWQ8q85GA+ZwTuf5zl5KNxevuXdsfZtt0nmPXDvCXu3fx4HCK7RNZjl7Vy/B0DkdTsHSFp68b4KxDF3HY0kT53EsRs1GGnyBHYV100UUXXXTxmEeXINxFF09C3Lp0VcNQ6ADceQfJIw9k3caNbBhLY6kq+w9EeGis8SZoOJljcSzUkNTmeB6aIhoS4vYUjiexdEEuQCG4FPrGCTRBQ8ZxkKi+CoLwDca+p2LrXYkrPYaTweHYOsFoqkDe8VgSCzU0lOUdD0tXyLUiVz8hN1P79qX2Sm6itcEGgg33JWNH+TAz8EB19tCp0khSdaFBfqX7jlqRYHgmV0rNDwk0naewBwrZexOpVIr7PvXcpvc4uTTfetFBXPi7+/coL7VBvzSK1wueB0KwNGGyKGaU1YuklCR0hWS6wP07Z9pS6908niGTd9g6lmEoYdITNVs+M1ekC25bh4VPOhgGFOY3jDnA01f38cBIikfGqg+5n/a9T7L2jn9WkRX2BCf+8mv85+XvaKiuv3kqx2BUZzQ1vyHvwCfgrO0Nz3u6j3UkzPoD9VLtO64sHx5V/d7lBwdivh0kSgfB07kU6YJL3vUouB7P23+QyDyThFUhOG11L3/fONny3uOXx/fKekMIQa+lcdSSGLfvKCqiOZ0TSfZNYPp9h7zjlpW5+sL6nAnCquKr47ie7FiB31BFWeGqUUjzJxIeH+Egqwfiu4d9Yr0qYE1/mKVxk4juf7OEpZNNzSpTeVKWSZVCgKUJ3NFRClMz5K0wbt9AW6dcIb36YD+ia9ieV7WOL6//ywpexf9VpF/+az1nD00RxTWf8EktLYp1dS7N80JR9DbH46T0mPxGNRE8YqgVxCBJKIiA2mIeVBXQFRVVKYan3wNbwgMjaQYiJRKDW1R1bPJAKsWr33cOAri8qGzWCaZryEFxU63IfxbDyQq1s2g06PM1RerI4+qIhnFLY6ZCidDSVDJNbAhhQykTIPYEwiCQoFV1D8HqeLWQFYfEZUJuFVk5aEMs6n6KGCqGsoeRWQR40muL4D4QaU4UBVgY8ck/7aARyQz8/jETpDi5bQPL3vRKhPTKZoDJ551L8i3vbZjWcCrHUDTUwF5Xe63xv/U2VIYFgt5QNRFO4s+L/WGdyayNJ2H9A3fzgfPOaJKS5L/Pey5Hn/ws3v/VH7fMtxIbJjJcW3QMaVjOgFe5d3cKTQh2JvPkXclU1sVO0FKx4NNXPFR3TVdAVZWyneGk/fopOB5/f3AMgHhI4yn7LagiCBdcfx1SKcDQLkQ7rqRNxvzKX8bSeTaMZQgbCpMZu06Jfet0a5X/oKbtSDkngqTtem0RDl3PI+MU05dFK5rwFUYjP7wEgPRRB7ad7yy9rnHdutJjJtvZ+FpwvYBIfs2/XRtftyGUWinUUprF63nHDyfuFR0GlsQs3A4jk5Rg/uvaOZayMQTQFzJIFYId+m3Xt8WamkKkwlHBkZKBsO43e+GfHbQawxbHzTJhdi5oRdTusTQ8CamC01EEsxJHdDxjM/7Qgyx70ytQKowN4sc/IA300j5RMnLP7eSGh4ksXFh+xsNjNFMgXVRPL7iS3pBfh8mcTdb2quYRIWBB1CBdcPnjVZ/npplJvt+3gFCL/pqTHp+cnsSVcMN/fgjLX8HCiM7kRJresM6ChIlQBYaqENYVjloS47BFUZI5l0RIZSbr4BUXDboiGMvazOQdhpN5ekN6VaQ3TVXqIr85k2lW90VJFzzSBRdLV0gVPCK6Wo6cWfCoIvLrfQMdreFmxw9/n3rVxunybyev6qnaR9mepNfSecaafoSQbJ3KEivuKYOiTZbW30ERQUO6QkjTamwunYwgnY02rWxepX1Q3vGKY8zsc5auII89ntDTTsD1ZNX6Mes63D8a3OdVAb1hg+yPftgxeVR3bA4bipAuuFXK71k7aFyeRVj3FZSbkYMVAaaqsLwnhETiagaqMze787E3XkHm7Je0RQ6uhJacZqqijLlVq7E2bewob/Ws5+JKynuLguMwks4TN1U8z1cPnsk5GDX7nrG0TY+lVqmlD0QM8kXnFyln7Qdavr2z1rnOfapdIOQ5TE0WGN01hbt2kLvv38X6kRQnH7WMkSk49uSngCdZOxhlQ0+E7MhEOc8nG0r1/JL/92J++d2/sDhh+mftnk/uNlTBsh4T2/E4bnUfN22cIGKq3LZ5kkMWx3nGgQv5zNoBwkVHiC4puIsuuuiiiy4eXXQJwl108STDrav2a04OrsCDa9ey7cr/sKI3RFjT6Avr5B0v8DB8KufQE3LLB6i1sF0wtb1LQqs1eKuKb+i1XdlQeTfnumyezBIxVBxXoiiz6sZr+8OYauNhUkrJtuls08O2TjCTc1gSa+63m7O9lkrCT8R91b5+JyXIwraHaBReqh2UDYey4kLgXXuGRMTkvOOXV127Z+sUU2mbwXg7QXL3LVqRgyuxJyThtf0h1o8HGx41BQo5G9d2eebBC0iEdG7e7qvDRDXB/VunuD3ZmcFvLFXgW3/3DXRRU+MNJ69EU+d+CNEKEUOrM4jPFx6349Hf/gVPf0pHj/S99z0t7xFC8IZjl/HRvzziG5bTaV793hfNGzG4hLXXX8HPTjyf1ct6AoeyoegsiX0uEMCShMmhC2OAT3rblSpw8IIolqrUK6fNM0oKaGW1iEfZomiqgumAMJslrO4LBSqQd/nBwZhjBOu2sGly9js8MJbmmMWJeU3fk3DwghjjWZu7djUPEz+RcYpKpXsHccM/MM0UFVw6xeN2/G6EihcqOB49Ia3uHYUQgcRdtUge0VRfjXEiY7dFfvVDuPt/zzseybz7pCAGP57QaBx2JTw8luHhsQw7ZgrsNxCqI8OUSAGikCdy7dVYv/4p6sgwaBo4Du7AINPnvor0M56DtBqto2UdyStrz7+DUgm6ojCTb73muySd4sxQBL2NkSDreVyXy3L4HMrTKnUpYTI722eMPZggtkzl2TLV/tqnpOQrgLiidDwm2lKytn/WYUoiyyGLm+Hq//ofzvju/7RU8yrtDyc+87W632odG/fiNmLvYb4WSS0+nK6KunDke1Kc+VzbdUx6SKVYfu4z6uc2oO/y39B3+W+YfM7ZzLzjg3WPTmRtdqcKLIgaLIpZOHtRZH+mYNfPhcUXHc/YZRXF5uTgWdz2j7/wh598mxe8+s2BvzdqAoYqWpLVByM6By2I8o9NvuPX1poxJFVwiBhqU4ehRjnYHtgV88pV91ZEmUml+Og33o7uztbTrae8kOgHP8Bo2iZqqOVIBEFkJUtXMFWl7GAuxKy1tFJpWlCtbNxM0KHyvnt2JdEVsF1RRw72Q9DXP+9KCBtq+XsEEXqFnNsYP5l1WBJr3V9m8k5gpKe1/RHK4slveDN8/9ttjcEAIx//Aj1Nck4VXKZzhUCF7EbIO5KEpVZ925aOpe3wvwNu8a8FP1h53fXkrANIHLbPtCZvBaVq7mgv0ko7KJMxv/U9koXma5u+sE7c0snY+ar+WkvmWxK3CDXZnvWFNHpCOlPZua3nm33HvCvZfzCC50lURbBjJuO/Y8n3Rdb3G1NT0BRBzNRI5h2Mb3yZvj/8gorHqtDucqDUVoyXPJfdV/6b3rBGzvZ4YHeK3pDuk2Y133mqtE4TgCKqXzBdcDE1hXTBJZtL8rBj87bJUb7SO4iKr4ZaVQfSQwKfmp7kH3m/ryandvKsE+MIIQibKjM5lwMXRFjTF2YiWyBuauRdn5isCdiVLHDkoji7MwXG21Dddj1Jf7F/lh28peSe3bOq38mcQ39Ex3Ulu5LZomOBYN1AhA3jaRQhWN4Txn75+XDJxW2PH7vf/RFf5bemXWQdj0iFA6GqCK7dNMHRi+MsipnV9zdpU7Uq+fsNRNCEUmcbUJB1Dovgk/dqV86KAEsXZScLV8qm6yizFDWnqriSnC2bOrtI/PM5VRTJuboCrsT2XHan8g1t2H1hnXTBYSxdYPkPv96wXEEotXvxvW/Cqy+o+z1qVI/LioAl8RA9lsa26WwV8VURvq3dUP15Nu94rOqNUKW/cvNdJItOKZ3OfuH//ANt8/qOnim9n5tMQTSKqgicn/wGnn5UWyrCpXt6P/sFskWBpul8gYlMwXcEFQLLUJks2przAYvJjO1Vrb/G0wVipsJo2mH9eJa1/WH0L3+qXN5236tTSKHw4MYxVFVhqCfE7657hENW9LFm7UK275xmoC/EjvEMW3ZMc9uDuznxkCEu+OG755DTEwelerZnkmx2JZauMBgxUBXBpsksQ1GD0ZxDKKRx5iELOXRJghPWDpQjuQj8PanaJQV30UUXXXTRxaOOLkG4iy6ebMi1r3areB4MD7OFIZYmLIYiFinbwdKcQFWHnTNZVvdFUEWwycl2ZKDhYz6gq6JeWVf6BABX+iGQFEWQLVQaWCW7i+q/ZQNhxd5140SG5T0hwpqKqHknKSXTebtj5bBWcDyJqngoRTXjIOSd5mrMT0hFwn28cQwKG/pkxfFr+kh3SII/760f4Bff+ExHzyw9660d3b/jht92dD/4isPRaLSjZ3RFNCVSZFzJU1b1srLXouC4JPNOWU3OlTDaITm4Fuccs3ivkoPBVzfda3icdqVINEqngcMWv/3tbd2nqQrvOGkln7t2Y5kcPJ/VVDL6Hvb3S5l56WuwIgaqEOV+rCmC2zeMEjV1hnpCzLgycL4JaQohXSFuaUh8Y/jRi+OEi6GTa59ZlpjfkO9BcDyPmbzNdN4hZ7t4sqgEZKhYmoKmKFiar9yB9A928o6vmDgY0cvhKNuFqgiWxE10VeB5EkUR5G2PkZowhnPtQfIJOWHvOfYV4fuRsQzL4xYL5lmlXQInrejjsKEYP71jV8P77tudYt1AmKihEjMVvOKhryuLB6zIPbKcCyHYbzDMnTtTmMvXwcbOnGSiT2CrfSOFS1/hsz40tONJXxHSgdJmoRGHxtQUooaKK2VrIsgTt4qL2DsvuHE8iyogZmpVB7FzQTslfGgszUNjaQxVsHYgzILILG1WmZlm6H1vRhvegVLaZxcJvsquHfT931eI//4XDH/+23i9/XtU1n2JLa7Dz1NJXh6J1ZE3KpGTHvfZBb7p2vxfzW8TGZuekIau+M6tkwH9IW5pnHWAXy+lOq3sWoYqMMOzfVJKeO4Bs/VYee9Mzpk93C4uhkq2h8rvLCt+l5UXizeNp23Of8tzqsp0pGFidzBna0AOWD+eaXVrHYYPfyr/Pvv1nHDZDwKV6Cr9Rbf++aaqZ3UF4pZeF/1lXy032slGAqOZHIPhfeR82oJwqCmirC45H9U0n/sqqxOV2FSKFec+A2g8rkmg98+XoaTTTH3wU4H3jKQKjKQK9FgaK3rCuF5n9VJwPQqeW+5flf1aCPA8ScZ26Klh4FWq9KULLq89+eAOcoWff/kTjQnCwifFKQI8ZufvVork6/rD7D8QReCHDJcSPCSX3T9avmcgYszJJvi0/QYIGSrXPzhCwakux9e++qrAb/iU634P1/2emdOfy53nv4udWRfb9egrKqCu6QshEEgkMbO1A3AQYTVhNT4mqrWR2R6BeQghGIoadc6Rf35ovOrf/WGdw4YiNQ/vQf9poxM3+rnyzSIXvp30NX+BTRsaEqZK6Ww58CiuHTiUXZsmsDR/7ZfKuyxJmPRYqn/N8x3ELM1XVdQVpew8ZrteYB66Ul+36SYq731hvawIWdu3yuWtmBNL72zp/vinKwp5mrfjrO2iFfvQQ6MpwoaKYapVCqr1GdfXeO6o4+Bn32uaVzsoEzmjcXKHHo0i/TZVQmVUBSkgqmtMFJVvS5EUprI2hipwPVkmuisKdXsBUdZ897+WqkB/REfI2bFt9pWrbSsSgVJBtVZEsOJrCZ7n3+t4koVRi/tGklW/V0YiUBXBYMSgx9RRhGDRwzchm5CDm11vBMVz6QlpTGYcdNWvh3TBRcFXDK6EBJ8IVmrUxT81RRC3VA4+4oX8hr9zl13g7NFdPC8U5hWROP3FKA0ZKfldJsWlmRS7vdl2dcpJr2Vx3EQVsDjmC9f4Sq15FAF94RCKUOgNG9wzPE2yIBlJF7A0QcLSUIXwx3D8sphavdOXlP439Tzf8cPUVNb2hUD450q256vbCl2U6z5qaLgeHLowjiJ8wmPhbe/GvvZvGLt2thw/CgccSP705/pttHhRVwS2J8kVXFb0WOQdXyQmmXdYlgixM1lgx0yegYiGQEEIiaYoLIjo5XQ1xY8GKKU/z5Uchkvf35GeTxJG8Kuf/ZCPva/ejnnoEUfzqyv/ganVv8HsusTPMaT79el6EqOori2RSOnPR7mCVxfPU1UgZPjEYUMT5XkwbCgUHK9KXEhRBK4ri2d+kp3JHKmAcSdm+g4olfPaXG2tsWv/SiqAIOwUP1RPSGNpPIzA78uehN6QzsKoian5EUpdKdk4kWa84jwhyLxiv+VdGN/8UsdlLCxZTvSmf3b8HED/n3+DfPUbmcraHDQU4+GTT8P6x99bkoQFwGte50cdkQJHSrK2S8b2yNgecVOj4Hj+GCqh4EkSln8t63joqigrcE/mbFxXMhjVKbjwn60+Id9SMzz971d0/E7tEJwrcfXAofRFDHaOTKLoWZZ4M9hpk5m84MgDFvDbf6znOSeuZfHiBC/6w9c4+MpbOy7TExXnvf+l/PEbf+K6e4c56ZAhco7H6r4wC6IGp60bYE1/BLM4FviOI7P/PYFNjF100UUXXXTxuEKXINxFF08i3LbuoI6fWfa6F/HAH25g61SWVb2CmKETM3TCusq26WqyccGV7E7lWRwLJgl5gKG0VumYC0oHO5XwDfg+ebjgSIwAw0YzeBI2T2ZZErfosarD4rhSsqMNxYRO8ci4T0nbbyCCLhqHwtTUxgThJyL29f7x8RESed9AVRX/9KcDvOgNb+uYILzkxHM7un/7FZ0pAQD87PUncsGv7uzoGduTjKftQBXhpQmT1b0hVEVWKUTvPxAmYWlsHJ6pTa5jZNpQedsT9If1OYXxfDIgcvsDbYcYXflAZ8S7BVGTV3zqDfNODq7E2Tf+li+c8Cz+deV1HHnoGp72/NOYzDn0WRo3TeSAHL0Rwz8FK8JQBYviJpoi2DCeJev4h5bPXjfAQLg+LPbehpQST0qk8EO575rJ1RH78o7XVFW/hJNX9TCetknZHvcMp+rUtkxNYWncLJP6+sJ+6MmtU/VzfWW/0RVYEjfZNNl4TWB7kqGYwXi6UDWcPtrKx49V7Ks5eDxjk7RdFuyl9BOmzjPW9HHNhonA310JD47OksdCulJ2bAN//ToYMRiKGejFcNKl08NmbUfiq8lpiiCiq+w3EGbJ/13OJ565llwHNJ/BWLzte58omMm70IzoUIPS2belKZiaHyZ8Imu3NSYB9czFJxj21qtJZpUISwThsz75ZgZ3bqy65+6Tz+aOl17YMq12UXAl9+9Ocz9+dIllIYWh/3ch+vYtCCd4vabkc+i7tjP0vjez65s/RRrz55AwX4TG+oR9VsF30jO4wKujcUBiVjjMOlLiILkxn+NDU+N894aH65LxJExlm6trGqpgMtvEEa+DYuuKqK4PUfNnLYrXB977ZsL33A74RB7zxeejSK/qsYSicrIV4ppcto7kEAQHWLzuYHpDWpmwB9VcqdIwXlL2rCzW9Dmv5MZXvoajXvVsjFym6r0ksPUpp3D3Wy7iUOB95z2bHRseRtU0Tj/nFZz/7v+pK4/XgiEct3SipsbmAGXNRhCi3gbTLhG5lsD8aCJre2iK31410Xjb2854NhAxmMjMjwK4ptA+ORhY3oIcXPpNAonr/9aQIFzCVM5hangGUxMMhk0k0BcyWgZZms7ZbJlqvx2Bv+4bjBr0hrTyeJCanuwoDYD05ChDQ0OUaqHUxwxVkMy7dWU/aWWieJ/AK7EIkXhF0t+ShD9eS2BxzCe0F2qU5NtpFwI484jFgE8qc/GVQidzDscfsJCYrnD/9mmQknd+5Jym+0MJxP/6J+IPbWXiw18gJyk7QI6kZvf0z1zb27pgAd9yvrYm7ai9BykLKkLUkTNL5FZJaYyRTGedurFYCJ9Uj5ztOyUySsH1fKXENm2ood9czo4Pf4CeP18W+LsEbj7rVTxw1isBuLMmaohE4noGYFfUhSiS2urfu0SkKcH2fJJqpY2ptkYHInrRubA6WlmzOXVZYnZ/bUsPQ9NxPH8sD4KvVuvXWa0ZP11wGYjoswThVArjDa9l6dg4XjTMzs98FVauxdQE+QoSfOGgQxuWrxFqnQ1KsHv62fnLK6GFE3DC0phybZ/UBuW1Y0TXOH55nN0pm4dGMxy8MMKxSxNsGE8j5az6aq3KaW9ILyud267H7lTzcb82CmAz9XJFmXV0CiJBVkIA26dzZMMuS2IhuPCN5evzgVmOr6hyKCjZUXRNpVCzvgtyjuwNaczkXF74jPP5bOwd5JMeM9Lj55kUP8+kUAEVCKrFcJ+GkViNKhQWRnR0TfDIWBbb89AUhVW9FlFLx9RU0nmbmK6xX78/hoymc0znHKYr0jtgIIqpK2ybCrbVruoN0RPSi2ON73RuqCqWqqLWRBwoLWUcz1dODukKGVsh8+s/4f6/dxL69z8artOnnvV8tA//D1TU1ymre3h4LMPOmQK2Jxkrqh8n875d4IGRWQmDnGOyfdpXaY2bKkcviZV/C+kq12yYCsy3FDVhIKJz6rpBFMCguu4V4J47b+OgxVF+8uvLecqJpzZ4iyIE5fZcvW7xr6kBGxbXo0rAJ2QoeJ4f/dNQFXSVYgOUZaVaV3o8MpaqG4ssTSFsqHVtbzyZZ0XzkjeEF+DEpgjotQxWJMI4nj8fVRalxzIouLLYLvxf1vVHuX90ptxufIe06h5qvvRlyDkQhI23vwvjgrtgbLT1zRUQQOzoo1GKZN67dkxT+MjnKGTfSfzmG+qcEyvfcebclyNe91a2jaXpC+lMZu2qebUkrqIK6I8YGKU9jpQ4nuDfW2bI2C6WqpBxfHXoU1b34HqSnnya1VdeQn50EkXuvX1CqbTPHr2L53z3TbgIPr3uOfwjqbH/ST3sTtocurqf049ejqEqnPzND7Fi071VdfJkh+Y6JDMFTlrbz2mr+zhgKMZQzCzbKAW+E4AiSlEsHtXidtFFF1100UUXAegShLvo4kkEmWoe6jgIiudyy/YZjl4aY1cyx5o+DUUIQrrKyt4wQvhhUScyBWxXMpm16QsbWGowuVVVRL1lcR4QdBBfulLaiFfuRzzpMZ13GiqIVWLHTI64qaEUD0U1xSdNDkVNknmHRXGTDeOZhoafuWAm79AfakwQbnYcPJ8bL0XASDrvh0gu1qCiCLzHzpleF3sZc21OH/j6z/jM217Z1r3nfPSHbJ9jPp3Am2PIZlfC+vEsK3stFCF8A6SuEDNLfbS6ljK2iyEk19w/yhFLE9y5fbo+0TYRFHpzPjGZtYm1Un7ZAzze1bgjtz9A+vjDodCo7QgW3nVXx8rUAMY8htcMgoIk6Wn0xUJc+8+72LhxO/sfuJrxvmUgVNYMRsgrs+EFV/WF2DaVZUsN0XUm55Btoli0J5BSknddjKJKdr54yuJKyXTWJpn31QDnzR9GQMJSsV2PNf2+M1PB8dg2nSfveGyoIMbMNOkTpXIq+GTvZuRggG1FkvHSuMn2mfbDmz9ZURsafW/hpJU9rOkNt75xD3DQgig3bp1qS4m/lghku5KdM3l2FtuMwHcQG4wYrOw1MWskOCSwO2VXHR6WMBQzWGiF2JJrj25nAp+9/oG27n0yQ1f9kL7jGTswxHcXexcjqTxn/t9FLLhzVkW1cvQ4/B+Xcfg/LuPKCz/JyCFPmde8149nkbdey7JdOxqSg8tlcl200d1ErvsLqWc9r/bXjvOWElwqQrhLf386X04nn/vFn/l/LzsDgO+lZ7gsm+accJQzQ2EiQiEvJf/J57gkk2S94x/Gz2Ud9GhjyYtPR0tWE0QEkmWX/iTw/jdHE/wrnyPTJgv2bd/9I9umms/5T12RwFIFpuaPJVBN9Nr1h2sDn0ulUnzipP2qGLl2Ic/lP/0/Lv/p/xHr7eOH195b/q2V04KUsLo/wvapLO0MZRFDZXHcQhcKHpLNkxlyjte+g4+sV1l8NGFoCpmCr9KnadWklRLa+eyO683LmnUoYeJ5kpF2I9GkUm07HZZ4OkvOfQY7fnNNy/vzjmT7TI4DBqPtvdscPqknfeXlyayDpSlEzWZ2sMZ4+zmn8YO/31N3PdYgvcr2pyDKrLxSO9ZqQ7ALuH5TNXF53UC4rYggu2tIm7oCq/tC7JjOMZxxGOiP8Mo3n9HyO5a+3xFb7+a392zlqcesZiSAHCllJTHDfypu6aTyTpnIJQNsis3yLt2vFG8skT4E1cT6iOHvtRohUlSzDCLrerJ6DGyEnpDGVNYpK9P1hnW2T2VIhHR0VSFZJICOpvNV5udKhdnqd6uGAGbe8UFm3vFBWP8QSz74dkQugxeNse2LP+D6bPPIOb01+UQMlYihkmtBJK1EzvYQAgYjBv1hg5zjIT2JhyRdcJnI2IF9ckHEoC9soGuCbZNZso6L60kSls7udI6xdMGPwqMqODFJSFcbRmNo3Z0F2l+vYPEXP151r5pLs+KNL0cCyrkvJfah/0ERsCuVYyRVwF60BH3XjraGC0n993FiPey49Oo2nvZRUmOOm37Ultk+K1Btwcoeg9PX9qEJBcvwoxHlK9pwrU1LEZAwfedpx2tNEO4E9wzPtDhbqCSoSqKGStzUEMosMWu+kS44gYRmU1PaVlBXBYR1lcOfuYSbf19tBwumzfs45ow19IQ0UgWH23bOIKVP+F8QNTBVQdxUcRBsHE+zMGJh6QpTOZt03mGshjAatzRyb34duVtuKhNHPQTbvvAdOOQI4pZGSNMQQqAKymq4Jfez2u28KmDLdAZFgKWpfn8UvsAEF/2v/+wN1zH0vx9BtR2wTMyvf4fp/Q9FlwJNEWWiv0Ry09YkO2f8thQ2quet2jZY6vs9lkYb/hgAPH1VD4MRg10zec5bt6BMDK5tvaXXjAnB1a85jwNiPfV26Y9+ivDzX+jPL/Ow7nFcWT67yxYPnHxi/iw5eOdMrmo81xVBIqQxnq7eh7uex73bZvjr/SMcNcfy7H79rKpyf1hnKOqfBXiSxuvkgO/geJI1fREeHPXPY1MFh5gxOz9oimDCVelpnEQdSmPimNRJv/0DLHznG9p4qhrxE56GoSpoRaclz5OIb3zbV4J+4XOQO7ZXfdbc6rW4P/k1k2m7TGofTRcw1GrnAQFETJUN41n+tWUa24NnrO0lb7tM573yGexQ3GTjRJYFUYPe97+dyB03sbLjt6hHpTNJK5R6mIbkokeu5CLg97dMcv/zX8vDWyfoCevkRse65OAAKMCnX3gopj47TinCHxO7KsFddNFFF1108fhAlyDcRRddNESlk+9t25Os7gvRHzbpCxnoiopeFDkIa9AfMvGKSgRaUeUsZ3sN7QQxSyVmaThuBwcfTeBJ0FVoxGEqlce/V7J5KtORIouv6CBwXFk2BvSHTfrDJprqHyLMJ+95Klug1zIakgNztsTSBVJSpcYA86skZXseu1N5dqeqDzcPXxQnQPBjr6G7uXz0MNf2dNRJp/GR7/yKT1zw0qb3fewHv2ciuprtGztXCZpvtDrb21xDAlzZa7G8xwo0yBqaynnHLeVXt+zgwKEYDwwn629qgdUDERb17V3ymid9BZDSIdu84wnQdyM33gVA+o2vgrvuAunBkqVE/nAVM3mbXTlBv5R7nczdKQTwya+8DvCN/J8/5cOoa/bDmchjaoKl/WFSFWGXJ7M2S+ImW2rILKamcNvOGQxVYWF07sqHnvRIFhwcT+J4HnFTJ+u47NqHhNmIoXLFg+NIYMN4Z+pmlYibGktjJg+NZdjRQfmFUvPvOZfgiY191ZX2pD23Cynh5Ucs5uLbd5Dfw4WipJo0LPAPD9cNhOi1VB4czTLcYE09nCzwX1fcw7eeuY7tLRRZVOC5571uj8r6WES7ypbtIKwrWLpKuuDskQp/SFfbnju2TmdxPTk7blQ8VtqzVb6j5LE3L803nv7VD7LggduA+vG0UvXozG99mMve8b9M7n/4vOZ/8NW/Rs21N5couRyJX18cQBDuDFLC7TuTxC2trBwGcOqqnvaeb+OetQcexgdjPahCsETVcIG7C3lePz7CiFe/AfxRgHrwYx3LzjwBpfguQb0kqJ6WaTrf6h3krZOjFKQMVLor4Zxv/LG9gkj/KDvvSPLO7FhSqxxZieHhYd52RnPKQ3JyghcfsZhL79zZVjGSeZvpmn1Af0Qv6bBSWyOmphAvEpqnsrPEjHbJsVM5h6GYRG22EmoxfPWGdExNYSSVnzMp11AFasVGzlcTbpBxu+zbNqCpglCFYmglUVMVgpCh4rjt78+Wnvec9jKuLEMH4gH7DURQy87ygpzjlkNEzzdyjjdnh5tMqtF+e25zYe0U+sPbdtQJDIT11gS5oKl4eW+IDeNZFkZ1srZHj6WR9VyibdRrqUd+5Ftv5spv/YkjFkaIh/3+mrA0bLemDqUsRz8J6QrRomNmpT30wdEMBccj70ocTxZtu74y41OW+sqUJYfiCnHE8p+lEPYRQ8VQBal8fac8ekmMuKGW23vQVxH4JD5kKUS9f7223kvdVOLbYaey/h5zsgHRtQRDFSyOW2VF4lIqpqpURZyTUtAb8klc3iEHk/rjLJneLHiwPjg6SPmeGgNR1NAYCBuBbUXiO3GUiE0xU8PUfIVZwaziuqWq2MJlOucGrj1X9ITQVQXH84gaql8vOYewrlLw/GdMTSmPl3nXY8tUlqipoojg8TtqaoSNYsmkxCna+0tQPn0RS/58OdBE9fo3vyJ52y1Efvun8rM7v/tLVjz/pJZkrlKRtv7xn2DMRjPqCWkwB9vVTI2Cc+lVCq6vxLs0bhG3DA4finFThZO/KBKfSor/ihC+WjX19vhahHUVpwOFjU6mM4nfN1KFLL0ffztx9p19QUBTR4BKSGC/wSiPjKV570dv4g23rmR6W+tzoL41Jh/8yPU4rsSTHmv7Q8wU+3h/SCVle0xk7bKT91Q21TBCWt+H/5v4rf+pKj/4TvUr3vNfSCB5xfXIWMgnScrZMbKkIB3SlerIlWKWfO7HjoDBWgX0E0/hksWXY2mCQxZGOXVNH/lknu3TOfojuk8mLsLN5DFzeaSEBzfm2W9xnFgshFAgZc86uAtgVa/FwQvDGIoy62xRfKnaObQ3pHHMkhgJS2PnTJ4/vvr5TNB8HXuMYfKFnoFye696J4CPfYiZL/0v03+8hpW9YUJFoqBE4nkU55EmGVRAV+sjgkJ19AvH88i7HmFDRRUQ0lTc4jzVV16vgvQk1zwwyv07kxy5LFGnhtsKpfutY49n3UAUgSif9TV6H1WBXcksi+PBjiNmhYDSeLpAj6njSslIKsdoxqYnpDH67otY8MWPtz0mzrz9fcRMFfewwzt+RwDP84nYuqphCfCQyJJt+PK/UnDdcoRTKK4tAuavgutHX0tYKrYHd+z0Se7LeyyyjiRhaUxmHGKGQtxUOHRhhNGMjakKwprg9Fc/s+F+rNOlfav3r0yv0d7vhZv/yaKLd3HR0a/nuBVRPvKj/24r7ScTfF86gaX7awdV6aoEd9FFF1100cXjEV2CcBdddNE2Nk5kydgu5xy0MFDtRRGibDjI2n5YTlMTKIpAev5mIWyqLIibKIqvjWHqsMrUyDkuu6fyZU9lVZkN11SLiKmSzs9uIJWiZ3fW9vz8hMDxvDJZOKQrfojyijQ6UadbFDcpOB4SP+1KtRtFwAMjM/NKDlaAsKFhe16VIaEWuaIndW24sj3dkxXPCxDAcAPi0127Zjh4YawYhnHv4/GuQvp4xp7U/GHHn8Sld+7kr7/9Od/71P9DFg3jiqpywUVf5NSzXwLAPx/sLCTW3kKQik4zbJ7MkXM8DhgI1Y2JiiJY2GPxX6es4sb14xy8KOaHExNwwFCUdMHlbw80fu9zj17MygX7Ro3NdiUzOQddaRxWd654IvXcyPd+WnctZmj89v7d/OS2nRw6FOXpq/tY1RduqYiWvv/+vVXMMipLoAD/75efxBOCj1zwPXJph6zTB6pKSFNYnDDZNZNnV8FFqwm/mrE9MtN5rnMmeMkhQ22pvbnSY8dMDktTSFj+dmPTRKZqrmxHHWq+kXMaOy51gp0zecL94TkYravrrmtEDca+IjWW1Br3NkxV4fkHLeDSe3bPa7oSP7zvnTvbI/nYruT5v72XP513NCP5HLmAFrxQKDzvnR/m2edfMK9lfaIgYqiEdZXRdIHMPEyYEtGSWFBCKu90TJoqkVseLcyn02IQljcgB1eiRKQ6+6vv48ffal9trhW0fI7eXVs6e2Z4F8rMNF48UXG1vVqaybs8OJImZKgsjpss7wmx/0CEmbxDWFNRFdnmfrT5TUOvezHmzq0si8SgYs97uGHwqmicG3JZ/mdmglzFof0n3vwSPvfTK9t6j8cCht7wEhTPbdlugnCwYXLpwCIuzaS4NJPExl9j2VJiAwiF839yY9uKynPpI63IwZU479iV/OLmzbQaOSYzNll7BlUIFNV///Em67RlCatMdJvO25ia8EkUnteQnAM+uXRtfwTwld8qOXRSVNd7s+/TE9JYFLUQQtBj6bP1WMGRKV3zCT3B6SiKIFvwsDSFkO7bp4JIKs3K02Np9IQMEpbGTN4pq872WDq6Fkz2FFI0dFYXSHZOZsk7soqw2AxKh1Fy6infzTGdc7B0j5Dm2+E2T2aJmSoreyN1kaWEEEQMNVCSVeATThHV+4BmbaYTGGYwOWeuy0qBwNJnafInrezF8Wb3ElJCzNSZzjsgZ+vVF+z1n+sLa4H5ly7tTtmkUimued2JPK1/sKPyGa7NbZsnOXBRtNyXFFFPDoPZOmjU7iYydqAjW5DKbxDUYn9OF1zSgBCSwxdFy3lbaqmPVe+HatuihywTAGHWWSJmqrieLK+9avdUbpvljJs6mlJvYy0RACuxOOa3p5F0jtH0bB9rx+FMytk6V4RgJJXHdr2yo2oQBHD88jiW5pHMz5ZlKuswla1e6wc5kcRNX4nUUBTuH0nieLLOySCoK6TyLglLI5V36tYRmYLbOOre+odY0YIcXP6+mzay69OfxH3ru/0fDIOtP7iU5a9/cSC5rbIY+Usu48Al/dXpIVkUbdSO/L/lXY+Nf72WxV/8GEouR2HxUka+cXFV+Vwp2TSZR9h+ZMC84yKEIGpV7xGlLAqCFD++J2VZgAQEBw5GmcrZjKSqFatV4UcXq4UiGo/CnY7PJVjrH5zDU81RUipVhCCsK4QMpbw26K1QDa1ERFfqyq8Jwc7pbLkuvvbL+3jXqw9lfH3jKEwLDwrxvV9vrIp01q+rDBQJuGNpG0sTzORddFUUz6P8dUbMVBFCMBA2iJka069+Odx5R2A+le0uftbTyV7zbyK9vYE3lUjCjuer3daOQwlLA+ErA/eENDzpO1YsTZi4nk/Y3zDhO4b0h/U69flkpsBDWybYOZJkMp1nOm1z3un7I+IRVveF2FgR7Wr/wTCZgovz0EMseesryu3mD2/6OAtPO6Uq3cmsg+N5pAsuAxGdiYfua7rGOkw3+FLPAKEGDiulZ9XkNPGXPRf3yr+XVX9r7zM0wa5UrtxfNEXgerLo2DprgV+aCGEoStV4IKXv1AFgaDq9lsNwUa27NgJe1FCxdJWJrM0RK3s5cEmcsZk8tzznlRz75581edt6pFatQ1EVdqfyLIqHAtWAVAGOlGydypTHyEYEYceTrO4Ls3EiQ9p2uXt3dfSSqazDwAteSOaaKwnfeWtDknCpFJkDD2XqzHOgWAepI48jesdNAU8EQ3vnu4tR2iSu9HCFYCydpzdkYBTPIDVFKX+rqKmiKoLpXPD6wZPwry0zWJpSVsAez9hEDIXpnMPDYxlipkJMV8k6HsPJAsPJAq945/Ob7sfmwyIYsBRtiFIfOn5qPcvkBJFwP4bch8pIjyMs+/Y32Eem1C666KKLLrroYi+hO5V30cWTCYbRJEx6PSTUHSYNFI0Y7RCEfCWEkknJh6UrKLVGBiGwdI0Vg9WGWikhZ7uMTPvEYVWBJT0hVFVhZCZHOu8iBGjqrDG3Mj9LU5DIKkOv43lM5+3GRs4aLIqZ9FkmUko2TKRYEDWJF8MBzeRt/rF5gtW9zcPLdYKYqaKrChMZG1UIFkRah1d02vTabwVfNUJyd5tKpw+PpThwMNaQyD2f2Nckqi5naxaq4huDa72taw0tJQNf6R+VB0ynn/MKTj/nFQ3zmJPqk1B8JdcOkFi8qlWiHRcjYWkNx0NVUQibCiftP8h1D4yyaTxFpuDynMMXAoJ7dsywO4CEv6THYsVgpOOy7Ak8CT2hYCP/nuCJ3peE8ENCDycL3DOc4p5h//BuacLk5NV9HDQU8w/Ca2tixYq9W64G/1ak5BPffgOvOPtLiLu2ceQxK1kY05nJOeUD18Vxo2zYrcR4xiZZcIibrQlnecclmXdI5qk6UH20YaoKT1uR4JbtM4FhMtvF8h6L9eOZjp/TFT8M5ky+a2huhk6cuOaKqKEytwDWc8PCiMlgRGf0USDGl5DMO6zpD/H2q+9nPGNz2ZvPIrl9EyARisaRH/gmb3rp8wIPsp8ISObnppKvK/7BuKYqLIuHeHCsfdXFZlgat3A6GIf6wwY7ZhofpAdBV/0Dah8CKg5iy0QmZgkA/mFssLuUH0a84ig8oJsmTF/Rs7QczDse5xy8oLyQF6X/KoiAJTU2CHYOKJWm4LpVTh6955zRqBj1ZS++31mjd8NJp1Ym7jtuDTaO1lBKv6RuVaonMTGG0DRfdq5NSE1DyaSrCMLtRrSJGAqr+kIsipms7guhCJ80vDBqYKiwbbp521AVn7SnCMF4JkddzQk44M0vxRzeXvpn1QbMLKqHPs20+F7fAt4wPkK++DU23nMn7z/vWXz3D39vSGqZbYfV0FVl9rfKE/GKv/shfWX9PTWQnkSU7Qz1JSm1A3N7c2K3lNK3PTSYiwZUlTfHErwxGmfEdSkgiQmFP3/vGuwONzU7pvOs7QvVvVMjUt6X3teZ84ZTKLSlQltSymu3+MHtzX841qRTLo6bZSVaTzbfAzZzEF4UnXXOVCvDMwQ8oilKQ5XD0t51llApy87S7WJFb8SPMuVCWNMIR1ub2XVVNFyHlshYJTJlSPdrQhYbcM7x5lURv4RmY2ltNCnwyTn37Z5hWU8IXRFEDB3HlUgpmyrqpgou/eHqvUS64BLW1T1ef7zz898JvD7XVaUQs075AGsCIvsIAb+4a7hhGscuixM3mzeqi88/lmdbYZ+D1GZhS+PZq5+2grilka0hBYd1tTy3g1/vRpN2p6sikCDstdnYJLUcKkFfg3G/EkqRgFROpya7VN4laqhlMlhIVygEEKAlvkqmpihloqAQs6TB0r8tXe04Etrc2s/sxwzpKhHT10uPmmodsU0VcMhQlISlETdVX+XZrN6leJIqO03e8cpEyZmcU/VdhRDYRQKjVTPINtpiTeccIoZatFvMvkGhSWUte9ur/TQb3kH5dwlEf3MJW9/wjtnrS5ez5aqbGPzg2wjffnPdrJ094hhGPvtNFsXMqvWhqPh/bT6lv6UvfD3c+G8qLS6h9Q+x4ozjkMCWb1wMa/b3/z6ZwxCQsz0OtHRG0nm2T2cbJR4IRSj0hUzipsZDY7Oqm670FbFnapSthfDbcsRQsV2var5TFRE8Fkq/HpN5F1Pzn00X3LLatrt4KYw0HovmionzXlueI8PGbPvINVi/pgOuG5rCdEW7D0cifPc3G7n+71/iV9//BmPr83iuRFEFg/tbvOrN7+fYE95YR6ROFVy2bd/J197+CqbGxli2ej/+3/cvLWpC+/dFDFnuYwsjJtPTqYbk4EqU90PPOAFuf6DqerYw+05Z2+OcZ57AA/ffXfX8Sc9+Pu/6/HfRVd/Z3icw+2I126fz9Id1BjQN6UkMRWFpPMSuZPVaqiducdgBQwwNJcCT/O7vD/HQpnEOPLR+7vndacdwSqHAOl2ncoY597sfQf6f4Ijlq5n5/q/Ka5qYoTKWscnddgu3Fgo0i4H18UR/Q3JwLfTdw4QNlbxTv4b0zwS9qohhphbsHLsw6tUJ0KRf8nxY/8jss8CShUPs+MllgH9eN5OzMTSVyWz1OZ+pqyzpD8M73oYsEoRbjVWlM9DM939BznbJFFxG0gWWxC0GwiaOJ9EUyNgO68czdWPW5skMfSHdV1ZF4EpJquAwkS6QcTwU4auySynr5oGxdIH4V75L5rvfoP8XP2pYvskXvZzkm2bH0YSlwVe/jXv6U1Hz+dbvOTSE/orXY3setueyazrHAQuiGApM5wrELZ2wrmE7vhL9dM5BU0TAOYEkbUuGkwW2Ts224xW9Flsmc6QLLst6LOKmC67kytt3cOaRSxEKnLGul4msg57P7/Xzgk4dLkr3/9/fP88b+r9avtZFNRaevWcRkbrooosuuuiii0cfXYJwF108ibDunjt5ZP+DOnrmyg98q/z3AwbCvucz0OG5SZuo3nYJASHDJw67riyGf6y+x5ONjZxByhmqgPFMG2SlVIqlL3sOmlOgZN5bDEy884PEXvlK/rp+jIfHMliawureEJamzDkUIvj12RPWmczayKKH6mi6QH/YAOkfEgWREHXVD3/XySmRpvhqCtumsr6h1lQR+KoWnWycbVcWDwz2/nZ5n2/IuxaAMuZKGFWodzBoeO8c6vvg913CfZ97WUfPvOIbVzT9vd0DsEosjhkt79E1hdMPXcjpLGR0JoeqKAghOPeYJdy2eZJbNk+VD8b6IwZnH7m4LSeM+cZExiZu+url7RJWuvBJp7XYPp3n53fsAnahAMcuT3DMsgSDERNPSjZO2ajs+6FG4PfNix6+lOXXryf8/dGyETQXjvGrL/yGXTMFVvZaZGyPkaJCh64IXnPUYkytFaVS8tZf3MH5J6wg8igrVwYhY/uH44cORbltR3vOMEEouB69IY3JDkObbpjI0hvSWJYwkTQmTD3ZsRd4L3U4ZmkcS9+XFGF41roBfn7nrn2aZwkrey1mci67k4Xy4dmrfnQV26aqjwf3Rd0/WmiX+OYrEM2O61nbV1xa2mNidxAiuBU6nefbVcerhO3KtsLTzxcGQgZ6hTKfoarE2nAqaQc7k9kq0tng5Fjn5fvoe9l6VfsKS5XosbSq/IUWot/trG6FY2P1JqBI1HU8iaEqhCJKWW1QAshZgqjjybIT56KYyWi6wMNjaf9eCX1hnYmsU9d3Q5pCyFCRUpJz/HXdTM4hbKjcPZyuLRqkUhxVSQ5uAEtRWCk0Lowl+HJyqnx9wwP3sm10qm3l3BISllYRnjkYpqqQb8Mj1V/PNGd+mVf8ngTN3/GrySmONy2ONaymivaaECzWtDIJr1NyMMCyHiuwMILgkMv/+csfO87j5aceybeuvKXlfXNy2AxAo+2UpSlE9fbXPZ1GdukUAigEkFQaNbWg0sQtbU5jcyu02oeFiiQtu2h/kkIgOtjHBt05l9fwJGyZ9Il0hio4YCBWp4jYCCX7mcCPiDWdc8qEx2TeRTMMnA7EDQCOOP7kju5vhXZm6fXjAeNpBW7eNkPcbLzevO33PwCYs9Oa7XjoqlJeUwghCBsqw8lC3V5nYVRHVYRvQwUWxgyWxE2g8fe3XVkth9sApqqQajH+BkFrQRCutbGGdZWs7QUqTi9NhOsUrWuhK8q8CSwEocfS6I/oVWu8yayvdBo2VPrDehUxbEWvxapeq9zW0gU3kGAfr1G0TebdcjoKfv9TFYHrumyYyJTnjtrP2mztGZR3rEnbVaRs25ZRvm94GIaGqq5NfObrZHWVRTGLZN4hVXCK9m/oFf56phOkTzkOZmaq863Byreez7XnvZ0tJ52FqRZt7YaGrvoRA6darEsaQVNUDhyMUXBdUgWbRbFQUUgB7h6eVQ0tjfFZ2ysSfTvPT0BVJMGRD3+OFec+Y07lDoIEPCFIvbreMSluadiux2DEwJOyangoCcpIKRlO2eQdiRC+yq9AVKx1Jaed/h5OO/09eFIynXNZFNMr7E2SVMV3+OXnP8Zvf/7dqnLsnhjlxUcsRgAXffcXHHJc9RygKgL79JPafueSXSydShEprmcVMev88I43vJy/Xhm8Dvvn1X/kn1f/kXd+4ouc8LzzAH8dl3NcjlkSI2aqLIgajKQKpEcdHM8fL8YzDqYqGM/abN42wfod00hPsrA3xCHLe7ALDnHp4EnJil6LBYbLD045mP/tW4Cm68F9WkpiWzZgnnUCuy6/AfAJwocOxUk+7x1MNRkoj9ANetskB5dyHjvzWcT+eFWgEvvmyQxr+sJ4EjZNZjBUhXyg48Hse6Q//yn4RbDqr7Z7mBVnHEfy+KcT+fo3yTkuU9nmZxZbr7qJ5WccF5CTj9I46QKX/eBvnGlpZJOzZdwxkyOZdwjpCrtTBV84qeJ5VfhiG44n2TRZ41wARQdNP9+ZnIMqfAdkTVXQFYV0wSFRFOvQXnsBk296C8lH1rP4/W9FTafwrDA7PvFl2O8An2Ss+7aKVN5lJudg6QruX/5N+GXPR9+1o7Fq7hFHEvnhz9k6nZkl0UcNts/kmc7a2B5kHA9NFKrGwNKeVEqJKwW7kj6xd8N4tu7MJ5V3WRLVydsuqXSe1QMRBmMG1z84wnTeQVUE4zmH/c9/buMPtpfQyXylAkcfsHAvlmbfodQe5uvsYenXvjRPKXXRRRdddNFFF48muqfSXXTxJIGUYIajlE8TW91f/O/404/lTw+OszRhsihukHc8RlI5+sMGuqqgEExcbVaOziGK5OBSGpKQrhRVgjo7zBBCYUHEbKrAtfTsp5c9b2vpr71f/jTpL3+ah//3t4holFW9IfojOgXHo1MboqEKNEUhVNzYBxExHxz1VcqWxC0SZrXxRyu+e+2hlJSS0UyOuOkraKiKYNt0FlNVSAaEJ56rUouuClSh4OwNCZsuHv8QvpLX1rF0sApW8ZKUsKuF6lkQoj1DHakIh/sWtLxnMut0pO5pFg8QOhkDB+NW+e8hU+PE/Qd56tp+UjmHf68f55kHL2wYjnZfYCbv0BPS5pEg/MRn2z9teQ+j6QK7U8GH2B5w49Zpbtw6DcCyhIkqBKXji0ejhg584D/lv5fyD2WSvObCZ2NrGj//2hWs6rWIWxoCeO7+AxhtSKplCi7pgveY/+xD0dbE/mYYThZY2RvqmCAM/jhTeq7dsL1PZPjEN6rkPUrOGtf/8HPc+6ef1D1zwDNezGlv+dge5avNxTNlD9Ef0gnrSlmte1+hxHUNGwoT0/5acyhqcOvDY6TyDqoQhEyVXMHFWdNLX1hvqwuXDryrru3BofreRCfqMaamVIVt1lXBip4Qw8l8U1XEvQ33cbDe3pslDHLi2pe9uDZ3aVnk9zsI64F72k6jsGI1KTNSpTrc7j5sIKKXnXZgtu+li8rYskj4UpWi2pnj1SlKQuM6e8WHXt7090pYQuEFoQjfSk5T6V76ptMO5ZKbN7WRQmfQVMF8Ce8P/PjbTX+/NZ/jt5k099kFDu81CbW5xr/h3DfPR/HKUJR6cvBcMbpzR8t7OlXYmgtyjsdU3iZqaKhCaUq+BuixdIxKxzRZ95c9gqkrDRUQ28WyeGivqPm2QknNsLQ03/b577DiPf/VURqeUhO9aw/LVHAlD44l64iMQRjP2IR0P3y1oSr0hQ1W9kQYSfsknDV9YW5+YCtHrRlqO/8TnvXcsuOdXgxTLqXEk75ioSdVXM+fSz1P4pbU8mWTd2+j/7ezlg9ac5aeuumnXwRg2JvbIPetazfyvGOWsjPpzw8rey02TwbbVnanqu2Nhqpw587mUREktFUPgfaQVIoF778Qffcu3FgPw5/+epkcWi6DIvCU2QgCrZbnzap7r4kX1CQpRXUhoobKwUMRTFXB0hQiRQJ/aWzQVIEqBCOpQnk/HTNVliYspJRsmcrTH9aIGc1p4j0hrel443q+enclaTRdcKtJe1ISMVT/fEAT5CsiM5TKXHbOkH60OlNTqjqJRPpE3zkg9t43c/nHfHXMtxy/vOq3kK4QNbQ6leuxTIGL79gKVEedgNm1oQQ8D579+f9m4cxMW2HkT/3F1/jxSWfx1OXxcvstRYoYiBhUvrTAj6qGFMgWpGVFCCxNI2HpFByJqSt4niw7QFSXQhA3NX+NL2ePa/Kux3i6EOh4tCBqMJYu1J0DxPp7Omr9lU+LgOueEKSuu5Xeqnfz/1yR8AmfUkrGs7m6scVPR/LvLdNtndcsTZhsn87zlKVxooY/FuqqIGqohIC3PPfpPPTIg03f5WP/dR7nX/Au3vCeDxIxVISA4VSOnnzntmb5zKeR/9dtmKqGooDrNicHV+LLH3k3hmHymle/GtuVjKTyRE1fXT9TVMv/99Zp1vSFWNNrsXhVH7++Z5i4qTKdLnDHhnHWDMXoi5ncu3UKgGMOW8LWqRwxU+Nzp+7H5QuXoNGY8F8iaBuFAgPvu4DcV75H2NB8BwrbRm2y6DszFMHqVKxi2xY86RPedQUmcgU8CVFDI227bJvOsqYvwuBvfoJ16SX02DbEEmz71Ndh6VIAso6DVFXsr36+ITm4VCoJxG68nvF3vI3Jiz5Hf1ivcxpZ3hMqi+KATxJe/KJnoGdSgdEQtx54FLs/8TVes6YfT8JA2OC+3UksTSGkKUVisz+OjmVsEpZGwfWIGBqTmUKg00oJmiKqovW50v/P9jyyeOXxpj+s4UnfXsjyVey85Ap0VZCwdPqR5AoeWcclVXAJGyqe549XWdt3BJ360e8A6PnsRcSu+wsC6c+tF7yN0BsuKM+zS+MhNk5miJkqHr568WDEYDxToGB7RCI6Sm5W8EUVgvGMwyPjmapzgoGIjipE2Q5uaQq7x1NMpQtMpm1mcg6vPH4ZOUvlzMOGKEhBwZOMJAscMjWxzxzT57rHecsnOhOkeSxB1vxdVPxZC23pUhLnvYzxz3+hZbpDH/kAQy8+d34K2UUXXXTRRRddPKroEoS76OJJgpKN8JCtm7l72YpyiNdGkMDktbcS0hTO2K/PD3NVPMycyjnlw/+wrjIQMbBdD0URJAy9bIyAztWx2oEQgljIIBbySzqTsatCPrVCj2WQzDvMBIQaXnbW01Bcp2HdlK6/5n3nsOMvN/sHApK68ECV6AvpZS/5kkFtPG1TcCUF123rYHjHTI4pw2Z5IlwOOel6NAgR6BufRxqQ1eYLBy2IdRQaeU/Q6gCxi8cmptMFLr11515L/7hP/52bPnAqrcw9ejjKa75/XVtpDkYMZvL1Xv9BWNEbmpcxTlUVEhGDQ5cmHlVyMPhGvflUG3wydF1FiED1sDX9IQqOx1TOIZl3WZYwsT3Jtuk8i6IGX3neu3nn5V9sFi17ryAor8pruuNw/oVncPG3rkJXYGVfmH9tnWLnTJ7lPRZHLIozFDUD0/7Jf7YA+37M7tToOx/FK7h7zlZ6IvODU6kUJx+xmmwmU/fbBe98P+9434d5cDTFv7ZMkbE9nrm2jwMHo0jpP/utFzWOePHgNZfy4DWXcv7FN3esVgkwFDPYrz/S8XN7Ck/CAQMRbt81d/XqTrAsYTKatlEEbJ7MEdYVDloQJlnweN4BA5h4bBhJM5kusHsmR96RSOScIwcYqvBJBI9BtOkfWYehmMnCqB/aeMtUe2uDdtEpR30uUQ72NfZmCR+Lbz/9kldhfO6jKLnWbcOzQky/5Px5L0NlSHjJ7J6/U+h2s2DD9ZDA0y2Lv1a8u13oLI12YaiC5hqdPmKm6odEd706pybXk2RsD2E3H99+kp4hh+ROu8B3UtNcEEsQEsHjmiclDuCZITac9oK23qUOjRr2Y7HBzwN2zuSBPGv6wlhac3N0wtQJ76VgFKa25+Rg8Ne7j4m13CFHtK0QVrpv2w9/V329zTlG4KvlKYqvWKoWlT5Lip/trrFLJBPXc+kxNYSAhVGTkK6yeTJLxvb44Cc/z6c//N6WaQ0MLead//t/5T3sgYOxur1If6jVe0lmh1N/dxY2FHJ283o5cDDKRMbmtp2N13bTeZeFUaOqbkKawtqKQt1ZyJOTknZXpyVBh4MWxaq+uSoEa/pCFFyPbdP1Y/JQzCBiqExmnLad5drZq9quVyRACvjntYQ/+K6qZ7TkDCteczYSyLzwJfCu9wOCTMHBbwp+PZstOlSzdqoKwd4wT2o1c4CoqY21/SHCxfWv7XpMbdpJ77c+jz49Tuq05zB99kvLSrylNtAb0nlgZHZm05VwS4JwKxvNI06qTgzCk369lFDppCiE2tBpMW5pzBRt/qqQdfWq3Xlr07I0gpVOVo1Vlck2c1Cf/an5B1646YG2ylHK+7x3voBdf7i26jcpW0cdHIjoJILNIYBPCHQ8PwrivbunyQeo1ZewJGbVrd2iQJ+lk3U8diZzZWJib0jnwAUxbtk2RaFGCdvSFHjPB+ELn25adpitxczyVYS3bqojk03+7zdJHnYM1LS5ZQmLwxeFcd3Z8x6lwRpJIHj6qh5u2Z6scrDUlcrv6fefkkBDJfE6YWqMZWx++tkPNSUHV+Li73yJM1/+WtR4/2w6dG5rk4UCGdvFVDVKraUdcnAJn/t/b+WE55xDX0RnPF3gn0Wi9KK4iedJTl/Xx4qeEJoQPDKeZncyz2RGMNAb5tsPXcyaa/x2/P5SgtfA8P5H8vot63l9rAe9DaGe0rlc+O47ME2NmKHjSQ9XCNZqOnfbwW18UFHnbMtzPI8NE5nyOBQ1VN9R5NxnkAHClTdn0qx4wzlIYPf/fJFtx58IwIqf+c7h7ZD84/++jkl8p6OBiM5Y2kYAhw7FcT04bJHOpolM+exv8vJrufKhCYbu+g+HXvNbspEYd579Oli+kvOPWszBzK7ppOe3950zOSKGSt51SRcbbkhTfCd3z2MsHVyPMVPF1FRSeYfpnENfk+hqecfF0BQ01RcPilsapirI2h6ZghuYx0iqwJr+MOm8y3Aqj64KIoaKpih4H/8Mo/YnGQwbZF1JMu9gT6QYjBhkCx6TOQcFyVjxO8VM32lk/XiOVMHlsIXhqsXcSNrm7uF6Z6JSfa/tDzGRsdm0a4b1u/37FiUsdFWwcSSFIwSPTPnvsKYvxKK4Uf6Oj2U81svXCh5wxyd/wMEnH83+C2PYf7uKXW97u+/xIATxF5/L6i9/EUX4dqlV73o7qVSKBw86HGr2y8b++3PYdX99dF6kiy666KKLLrrYK+gShLvo4kkAKWdDIqXyju85+7Iz0afG6+4VgB2NsuM310BF2LJGyNguWysOzPNhF0tXGUsXMDSFpbFqAt38H24L4mGdTMHtSPGyL6zXEYQjv/5ZU3LwbI6+MWLRs49j919ubhhOdCCiM5mxmWgR7qhdpAsuu1JZBsIGjYZvXfUPN/Y2DFUQGBVqb+HxvjN/MkLCzZsm93o2x33mWh7+5aeYvCvYWHHC6z7AEc99VdvpdaLQlwjN3zJKVwSrBsK0OIPc64iaat3BUhfNMZ4tMBZAqCu4Hrtm8qzsC2FqTvUhrYCNq49gw+Aq1oxu2uck4WYQgILkRR97PVd98kc8MjZL8Fw/nmU667A6YbKiL8zCmK+IPTyTYzJT4JbNk+U09hVCusKVD02U/722z2LdQASEbEj+KLgeRy2OcXuTw/xWGEkW/FCue8AMeax88/nGR9/3Ni792Y8a/v6dL3+W73z5s1z4u/vL1/62foL14xk8Ce9/VmNycCUuPv/YqjTaxUiqgON61cqE+whPW9m7zwjCjiexXa+8B8jYHqmCx4oek2Te5nmHLCTn+GSL9/32nnK4z7KqcwcI675aX6t9w+MBuiI4cEEUQ1HLjoDrJ5or7O19yJbhU5+M6HTulA1IDO0gKJ/ssSdSWLs/xkP3ozQ4aAfwdJ3CytVknnbqnPPfF+ikLk0hWKzWr4NriR/zgUybjsCVEUCCwhfrisBeuQb1wWDV5ynP5bYKkvMlmRSjnss7Y72EhSAkBIoQOFLiINlg23whOcnTf3VXYHp7NMfP8wLBKEY9kdI/MC6KFT5qaCcqxd6CNWfl4ICP0oGHWslBXwhf+VeX/j9Kqc6azESj3KCkXCp98o+HZL+BCAJB/lvfgwvf2LQMpaI6ff30rFo62w6kr/ZY+reUvt3OKyrwSvx/94d9Ao4jmZXAq0HcVImZalvrgaihsqY/QsEFVZHcPTxT/k0RcP7r38xRxzyVc884sWEaJz/vJbz1E19pmVdLCMFsqyx+A9H6A3sSVvWF6gjCZ+7vE9SGk3lu35mqizQTMVSu/vMVs+kAP08neWM0TqjN8O7fPvcDPLArydolifK1DRO+bXZFr8Xa/lD5+5b+2DqVZbhY1JDeXj7tDEfTRTJp7Dtfoe8Pv2j6XOT3vyZ/y00Mf//XRGpIsa3sxc167t5SEG7FlZvKOfSGNOJf/TQ9f76sqgThhx6Ab38JT1XZefGfmXA0VvZanLyyl7GMzRUPjQEwEGluV9qTt2pU/kbXDx+KA4Jt0xlmcjZCiDobmfPUk+dUlunBJRUFoM3xs71B9qDr/1BOtl2Y+Sz9EYOIrjJTJPLNBZoqyDku01mbsXSeJnzgAARXhBAKYV1hMOILnIQNjQMXRCg4HglLZVfSrUsm8vJXkb7+Grj5poa5lXKafM7ZzLzjg/7aqGLjF7e0koxx4LO1IiG1hPnaN4sYKumCy7KiYvZhi2L89ZGx8lqx4MqyuEnl0kAIQW9I54+/bGxTCML5px7Bz2/b1tEzQcjaHnkniyIErzz9uI6f//WPvsULXv1mXGb31QpwzNIYo6kChqJgqoL+sI7pujx04/187KezDjG1qs5DD93B9PA2nr9wSdsiFaLoIXv3v+7khFOPZiRTQD30KF518z/56PQEmYDxNt1mhL5aZB2HTROZcvvqCWnETj2W/gp1/EalHvqfdzP65ndjPHBv0/sqUeo1C95yPoUfXkKh2On2H4xS4s47LizvCZNzHNaPZ1AQnLKqh+t4KsOHPxXw1yGvPXpJlSOxJz12pXJlp4y847EgauIk85iqbzOfzDjkXegNaaTyvqOLInwSf97xSNacp9qeR09IQ1X8HuN4krzjUXAlybyL4XjoqlIm0/eFdVIFFwEkLD+PkKbSE/bHK0tTEUJiqRoLoiYPjs7UOZFsK0Zq7AlphITGb+8dIVesp+ce0F/OaybncvP2STK2hyLg9l1pDhgMEzUUPOkThA/7/Q84+B9/RPFcpgeX8qePfAeK32D9eJa4qTIYM8sE4V3TOY5eniBdcLnhwREOXpJgQU8IQ1eKZ5qPbTze7bQCOHzbVg6vuKY8/3ksPPt5KGJ2P1KLaDTKMVs37KNSdtFFF1100UUXjya6BOEuungSwKnwtr9zxxQAO395JQChy35Fz+9/DZ5D8tln0/+WC8kVXJijephPkvKfzTkeu0SOoahV9kDOOx7pvEPEnM/hRzAYN9k63lq9SUrJRK4QaGLs/+HXO8gRFCm5+pEJVvVarOy1ytf7w76nf2V44k7QTOVsKuugKwpLYhp2MYq7qSlldeKs7e3VsNn9RWJ11NSwPQ+1eFBaQvqjH4TLf1//YE8Pkb//p/56m1Ae99vzJx/SeYe7t8+0vnEesN/LPsRZn/82w/Ogmj2czLd9VjGZsYk2kw7pAImQ3lB9YF8hpCtMzHHcejJDDbCsqQLSBY+FMZMN41l0VbCmP8RIqkAy7xLSFA5cHOcrL/84r7300xy1sz21m32J+O7t3PTgblYMRFm7MEoewXTOYcOuGa66wz9ZDukKS3pCrB9tR9tv32D9RI71EzkE/uF8kEq/7cqO1TsrsTRhVh1mzRXqXpyvHy384NtfbUoOrsS3XnQwF/7uvvK/d87k+eZ5x3aU33dfdhT/9cvb6673WBqGJhhL2YFkgoIneTSOJqSE5x0wyOUPjs5rumFdYXHcQiIRCLZPZ9mVLLAkbrI7VSiHwNYUwfHLeojoCuMZm7FMjpzjlRXZ/nTnLu7dmeS/Tl5FrAPpRtfzw+E+VtFJT9NUFUNRQUg0FR4eTZPdC15xnXAH8q67V1TxHs8oLFqMsauzKBXbPvuNOecXWP2qyu5PfJkFF70L85EHA5WEPStEYdUadn/yq9BCMXVfQFMERy2JVa115zITlfiBtbA9/1B7rkrkwXnNT+O3Pcnur3yfFWcEEz3GXBdDCOyKjfhfc1n+lstyrGFyjGERFYIxz+OaXIbNRcfixTf/nbXHnjYvZSxhPlcHJ571ogZRh/xoKFF9dqyv5KiW/q4qAs+TVYUStcFqS78V2YhLEyH/osQntZZuLRZDUxSE8Me2sUyheWSrmqJXJqUrfrjiUr5lsmvxBp/sKukN6cRN3Se+etInTFcXuc45RhYTkMV7NAQHL4hX1ZX0ZstSUoxs+B4VeWXtqtwD7mwMVQFdVcrO8briEyxDJ5zI9Ge/hHz/u5o+b/cPsPPnV9QpQ84XZvIuvSEdaD1vhnUV5/+zd95xklVl+v+ec1Pl7q4O0xN7ZphhgBkyAoqCghIUTIA5u+bsmvanruuquy6uuuqKu7rmrBhBRARFlKSA5BmYHDuH6sp1w/n9cauqq7qrqqu6ewbEej7KdFXde8+59574vs/7vC7oEh4arSbYesV3ctwJJ/HQIZ9w8orLLuDhrVuJRLv4p898neUbNtS5cutE0Zr7/yaHnrCpcfKKaFEh27/WZM6lJ6hxXF+YkXQxpTswnCqwritILKjz20+9s+o638skOcsKsNk0CTQIaHGUAsPiqEuewQZRm+ThKZ+00wjpnM10IgtFcjjAcas6OJiqHr8tXRLQ/T47+9FWkQP37CA2Dzm4dAnrwF6iX/wU6t0fqPq9lh00bGrlDBWNAjNzTknxc2EIGBKlVAUZ1r8L25u1vlV+lo7in4R+/TU6fvpNOlOVZ1UdjnRdtrz0fA795zfQV60jauk8WKEgrBTlDD2lcaty7WlIXx2yUcuWAgxNr7IHC+GPTYY2m/4OhTpB4QoIGoL18RCZgsfOyfTcyMFiBpdWe9ro57/GqcVz3CIRUalS0Ioq33tlEEujNfiJyyM8ZSCOEJB651dbqMlMWxxPF1i9vKO8bvGDJdTMMUUDfSUpc3Y7zdkuD48tMJhwngfYYZnETIOgKRlNFhhM5VCemjtmKVDKI/Slr5P5/nfmKAlXzjr7PnIFFEnes8cPXQomMrXnB1UMHAFF0PCVZnVp0h0yuX+4tu33uN4Qx/SG/HGvOA+//vTVXL1tlH1TOUxNEA9oTORcXKXKtjVPKbbd37qNrOC6dIcNCkWSZumeWwoolBoCX5kW4MCe1glz3/3sx3juK9+ExCeRru0K0GFppAou3SGdkXSeguPRE7bo1rwyObhWPUvf6YC1gBXi5n9+E1M33Mp0zsG94krOOv8JxKX095ezjr0ln+PJVpBwk4EqCvA0gz0T1VmjOs85tanzS+2490ufXtBqP7jzYTKuIlVw0aXffiv7p1IQ0HROWdlBwVYIAQ+NpBkp2r1fccqKquOlhMHpPMmKYIFUwSU1kSGgS0KGxni6UCa4T2Yd+iImnoJEtlBuM7Nh6bKuj7AzoJPIOVUZyjQh6AjoJIuBC0KAoUuiZnGMF76vN+84JPI2uqahS1VWhY9aGqYumS5ms7M0wfp4kIdG/Pf010NJNvWE/L4hfOL6zbsTRWK+XqwD9L/0WQyMjVXVt2dwN6968wUo4JtX/AQiEabzLqet6eSco7v53u376QqZ3LUvQSygEw8bJHM2oZyByir6QgZd0SgqmTwinr6/RxPKlv37gGLGj+L//x6yO7bRRhtttNFGG83j0fdQtNFGG4cVnqpWD54dUZp9zgvJPueF5c/LdYmbc1oRQ2mIyaxNV9AgWOEQHU3mCRjakhJjNClZFjMZnq5P1pnKFTg0nat7XyVVl1bw7H/5BxLfvIqwqRE0JFNZp6aSZCPEQwZBXcPUBRI/Ld6+KX/T7infwBEPGb5ikafoDVnYHgRNSd72jpjaZyllE8BExmYiYxPQJb0Rk6hhkDm1geLf1BTpU46F9/w/wi9pXs21jb9d3LNv6oiWt1TGjpyjWNVhcaBGSs7ZmMjYZefQYiCE75h4tBHUtZaU2JvB34MRqhYxPWrpSOBg0VFccBU7x7N0BHROWRnlmJ4QnaZg66FpfnzRazjlq/Onz62HxRB86qG0BhjY+he2bzyN7UWpqeNWxsp/gx+UUosc3KyqyeGEAm7dl2BdV+2cwv1Rk6cd1cVoqsCh6TwTTRIllkXMpsaHZmA8DgnCn/7YB1s4WrHtuu9y8Uv/AYDdE1nsTGvqum4hV/V5TWcAUxMMJQtMpRz6oyaD0/myOpIQAg246ZFRLjhmGYZ+5FUMV3cGan4vgHOPitMdNDB0yS+3jmC7inXxINvHMmXikSGhL2KVx5e+iEG64LFjfMYxtyJmMZEpcHA6z1HdQXYWSSKb+0I8MJjA0iWWobFrIsdExmZdX5QHDiTK48mP7jzA0zb18shwimzBwfEUL3/SAK6Cuw/6zhz/efrEjeP6qpKG/k3jQCLLgUSWqKXheo2JCYvBkidVeZxjNilo8Os/Y+DCM5py+peJeSc256xuBSoYYvg/riR45210/PjbWA/eC1ID18E57gQmLnsZ2dPPAm1xiuVL1V6kFHRYtevSCoGioBS7nNp7Xin8vWvpgkopJhdBRiy4CkuXhE1tSYjHHr6K2+x71UTtPDwKuKOQ545C7bk/Eu9feGUEkErB0EHYsKmqzFp47zs/zGf+62NNUC9n8I5P1CbGSwERU68qTFX8UfpbluxJs5lIDWvqE5Wg9prQKRLubE8xOL3wNVVHkVQxH8Km3jDFO/hO9FYCMWYfulRE9vngen7WqNmwPeh65jPJn38R6Te/Fm6/tfqAQJDET65jSqu9BllKTGZtopaGoUl0AeNZB5RC1yQRU6PgekTf9hqMB+6jRKlbUfw3e8wWRv6rSPSb1XS+97PruXcw0XJ9DiZz3HNoGk0KDCnRNcHmviIxpliIFApL18uqagKBlKrKZul6s7jwRZiaoDOg0RmYWQsd3RPG0jQ0AWev7WQw6bfzo+K+qq+hSZRb3ZNd4G2To3y4I865gRCgsCqIwmnPI6sU9xcK7PnS9VC0zdUat71GqSCUQgpBQJOcOdCJKNoZC7ZDMKjPIQjnHI98EzbH1a96Ud36VKK0z+y6+iomZhGEa8EnLM4/9jeT/aLeFrVkA3E8l4fH5gl8FZQzA53+35dx3EPJ0tf1Dgf8ez7/Pa/i51+7kf++vVrhNJFz6Q5V25UeHJkhXHomXLNtbgbA7pDOeAWZ89i+EP2R6hDIeoreXSGDUMXiwifnQsHz6NB1QpbO4KBfB1MTRCy96j24poleaM6GVZpCKtcfQ6kck3WIqJVo9F4jZonIJnAdp+bcPh/+tHeaP+xOlOtZCxdtipeJq4YUdAaqgygDtQblpjF/w03kbYbTvkKxo8DS5JyzHE/x0Kg/oq69/MVYL3op+UwG3v56OHCQ3OoB0p/+EkJAFABBwJAUHI/K23FcRSygE9Al6YJTnsO94nx9kDwn9ncU51S/FpXKv11BHSkEadtFF34ZnZaBqWnltazrKbYsC3Fsb5CC46FJQWdIMZZx6AsbviCLFHzyHS9dyANl3/AkA8u6SOZdPKkhveZXTQLQfvBz+iIWYUtb1Pr797umyn8f06uVn2Wq4JLM2GwdStHdEeAp//L6ctmN0CkX1s5kLkvOU2gCukImItrBFz2X106MMOV5VPbCG3MZ3h/ravraU67L6w3Bpyq+W/66y1uqX2XsSSv9t3Re3vGIWhrxoIlS1VewdF8BPV8MzFIKLj++ny/evp9Lt/SVxWg0CaPpAoNJ37YUMX2fZWmN2RHQ8ZSqORel8i6u583pk4b0hUBydm0BIUsTBE2NqaxDV0AnZOocnPbLd5RHKu8QtXQMTZB3PHKOy96pFJmKtINBQ/LAcJpU3uXMNR3ELA1L1xhNF8oq4LoU6FJWEYQPThc4vj9C3vEQAjosnadv6CJsyHJGlv7zzyhnVqj3Xl71vkv5+fuv5MSnnooU4Ch4yRPXcHA8w70HEqQLLk/e0I1mSHRdMpnMMZLMM/at6zjheWfVuerS43DYzB+TEIJTD+6d6U+P+xtuo4022mijjTYWijZBuI02Hucoi3kpxW17Jqp+CxqSrqDBZNamI2AQD5goFH0Ri5CpM54pUHDmbnJbxVi6wPKoRC9GICsF2YJDJNC8MlkzqGWUU8p31Tie15AcvFB0jB2kYPgps0rpeWajM6CTKrg4niJoSIKGb2TqC5toQtZ0mh3TE636XOuYbL10q4dpA1hScak00BZcj3jQInHiMc1d5D//jfTAWkJPevJjgkBWC09YFS0rRrSxMFia5LadE/Mf+BiF1SRhbHlsadSDS+laH01UBgC00Roma6R9n6pDVkjkHDoDGoPJPGM5l80rYjzYmgAiUO1GKhn/WtfKmh/PvuNnfHrjaeXPDx08MqrgYVMjX1x/zE5bWVIXKpFXErn6Dp/JrMNk1nfablkWpjc8s+4ozdm9YYPesIGlS657ZP5xayk5vY83BeFb//C7ls/53Zc/wXve+Xa2jaTZ/+BcJeBmcP9vfsjxF7yQDd1B9kzmqhT8IqaG4bjcuWeS3oiJAoaLZKTVnUFOXNW5oDIXA10I/uG0lexP5PjN9hln/9quIEd3h8vt4iUnLEeXAiEEm/si3LRrgqAh6QgYPDCcImRIAoZGuuDNWYMems4TDxlo0mU4mWd9PAgC7hlMcWD/BBNTGZ5w4mpyeYdswaE74veNqKVz8uoY24fT/PTu6sHp9v3TNUl+k1mH1R2Wr9SsfEXAhYYZCiF8h9bs74tylrVU2VC+88PPauH3q1I2jlKa9NlUNoFP9s/WUBgvwdQk4/nHxrzYKH3vYwmHc/lc6wlMPf1ZdN7wq4bzX6lK+776g8NTMQApyZ5+lk8Edh1kJoMXDBEJW2RrkHIWgnlJA0G9/PzTead+eus63xeWrcAcbn5BkleK22cFaBimvy6enRFDCN+xXgum1lzbzjseEXNxJOsS9l91IwOXnTen3SzXtKYIZpXolpInnHZy+bOo+O/mZSFO6I/UPvGWP9D94X+s+V7t3n5yV11Lb9gsE2kBgpdewOVjY8RiXXxieopmLBvrjz+p7m+GJopSu0uPtG379g/XY0U02GDff2T23OElajuHC5oUDZVR56CGXQYoZnZShK+sraQ5OZ2BJgjVSwGfkOjSEzbK9+Y6HvkD+xl41fPLx1W2DAUEtz3AwIVnsPd/fgjLT6i+aJOPaPacaWmS3ZOzA8osMnPsd9VjV0/YrBrPBjqD7J3KogmwdI2wKZnI2DWJ5a6nGMrmsHRZlc2kdGjY0BBSoGa9RBv458QEX0gmuDQU5jQzgClg2HX5aSbN7YUcb/rpQ1XnrIsHGc/YVWT5enTemC54+MA0hxI51naHeO+FG4mYOqmCw53bx/jLQ4NIqaFpAtlZGr8EQaPaPiIq/hD4+yqpvKZXK6XjUjsegdVHNTzWaHKeCDah0j//OmX+skpHnPTV181LDp59ngIufs15fOfK31T9Nlt9fKHxi6es6MBTHkPJ+QMvHNcrq01WYttIilxXkONXdLI8FuBgMU397Hsc+eF1rHhe8+r5+z7x+arPruvbx+cPUFd0BPQqG+3pq2MEdImhCbKO45PzDAvy82cVnI1Gyu8llNo4wInLY6AEexNpbNdDKV+wpCPgE2Ol8Al5JSVqpcBD4Xr+uDDHb1Cj+NmBCEFDknNcOkO+Aq8AAp6k4Hr+PkdV2xX2TGZYFw8SjkTga98jWbAZnsrCrLIt3agZZBMPGS1lShJQHOt921ipJjl8MmzJztgXMekMGOyamAl8RQj6wiZ/3DMFQKYrQHfYwMo5JBOtB4QAHNy+lY3Ln0zI0NCuuR6eeV5T55XWheGiOn3MXLp8Q1nHJVAcox4YziCB09d2YuiS0OhgU9cYa4HoXIlCTx8TGZugIRlLF7B+fiPLnnE63+lexheTCa7PZZFAFkUB+EoqwRsiHQTnURHOeh6fSU6xZzTD5Set4Dmvegsve+cHsYrqpUcKtqew8y694bkjsS4FeOBUdDSB4M1nrkYW5zbb9dg2lqwKJEsV+0o8ZKAJGG1gK8/Ybnl87w4ZRZVtwVTWZixtEzE1esIGXtEXqmsSU5NMZG3yRduKaUiSBYewqeEpxXTWwVXUDYLThEAJ+MPuKZ64pqOYncIlCwQcf+01kbHxBofo/4fLkY7fn19uBbn7yz9Dj0WZzrv0hHSSeZdUcb9q6hrkXVY95+x5Ay5K9/zc/3gz6Yv/Wl4vdQR0VHeID12yie1jWXZN5Igqj03LLBSg6RrJvIOj6+iOsygrx3w2cAU4xWO0Jo7/W4Xs6uKUh+4tf3483mMbbbTRRhtttLG0aBOE22jjcY5Kh/hs1QchBFII1naGi5GFwlfKENAV0OgKmLjKYypnN2VgrIfpvEMynyJkanQGDTotk0TWJmBo6NrSKbdJKbB0Wb7PUlq23ZOZec5cDAS6hNLTiRTT300V7687ZBIx/KG2lC6rGWLsosizh8k7P5GxCRmyyojsKUi88TVNX0MB6m2vR9314GOW7LAsYtYle7fRHA5MZFp2sC8WS9ma5iPKWppgU2+YeHBxy6igLgmZvnHs0USbHLxwpG2Hh0ZaSyf5u51T5b8D0QDnbA62pGhQOvan7/os+yPLiWy9l1df9e8cDh1Uo4464OFGxvb43c7JI1qm6ymetamb/dN57hus/06XkmQiH6OBMgvFG172vAWdly64rIsH+eHvv7eg87f99iqecdnL2TmeRQFHdQfximuuRNZh73jaJ2pUqBQK4I5d448KQdhTENA1NvWEuWnXBF0hg1NWxFjdEahy7lamA+6PWLzw+H6EENx+YArw+0ktx34JExkbKWB9PMhwMk+yGFimBwzWrOziqJ4gf7xvkP+79iHOf8IawFfAmc7a9EQtoo7HYGKGUKM1aK/3HEqSLTrVVndYbOiurdw9H8YzNvcPzaPctkQ4Z31nw3FzOmcTMrQqYs+jhr+RoWLxYaX1USugIvGef0ZZAbp+9ZM582hlTfZ+6buwct2iym/6FWg6XjQ272GxYupXVRnlA3VT0873ZKdzTnntbbYqhQoMfrN5Reas5/GN9PQcAtqXf3d/zeNVAwd3PeJwJXQp6Ajq5OoFx7aKSIS9//0tBt76iqp2ExCSC4IhrsmmcYEthsmTrQAdQpJQHn/IZdlasS4KIDhBN9k/VdtOckJ/uOaesu+tryC44+FyuZVQgDE6hH7OKUxcfRMpwx9L+19zOUYxxe+FoQgu8O/TkyhmUxpnmlNP/wr+49vX1n0MjqtqkkxbgZqVdh1gPJuvsh1l7DSa9Ou1IhbA0pbODN1M1XtCBrqQR3xv2iz6YhZhS2dwMtt0ZiiFmnM/AsgtIBOMqfnk5BaHjKagS0GHZRAPmjwyloZcrkwOrjXOVI7fA298Ibk77kE3rLkHtIjecDXJK6hLVkQDBA2N+4caBT9WP5S9Uz750FU+IShju3SHjJrj9lTOrjueg68IetGL/oFrv/flmr+Pei7/k5oGatdP4iseegp2TWRZGbPKanFSCIK6oDdiIPGDpiSAgELOIRYy6AgZ9EYtRpN54n066YLHymURtg9N89dHRjF1yZNWxVHA1uEUww1sBeu7AhwTWtj4vPxD72Hwmz8rf3Y9RWdAr3rXmhQVASKlMUcUlZ59CFEk1Qr/RjXhk8BcpcqiEUCRuLU4lC6xcatPgmu1WdYaAXdNZPjBfYNs6Q8TaWHtWXAVuhSs7gjw9A1x1nUHmcrYGFKwP5FreG4je+xIOk/OdjGkYF1XkN2T2blShJEIfPU78NqXzVvP8ctfBqeeUfXddN6lM6g3lcFq9hqi4HrlwINylsRP/y8Db33FvNcqodQSDOnb37VikKEmZdWTqSQmb+6LEtA1dE0wNeTMkPDUzD2YmsB262vKhwxJofi7Uor7hqfrmvC3LIuhlD/m1BtPLF0UgzOrMZwsEAt46FJwoE5bqFfufN1kPFugw6oQfBGiyp5Y7/SRVIGRVIHOoD4nu2UJeyZz7JnM8aQ1HfT0LiORaj1A/fgnnE53yKIraAFh0j19MDbS8JxSnbWfXN1yec0glXeJmBp/2T9NvjjhjqYKdGy9jwtpbhwpAFOeR1eLWUmcn/wask55/Mu7iv3X3cHKF17AhzWdd7suv85l+HRyChf4biZFr6bx/GCkJknYU4q8UvxfaprrcjP+tl9844scVciytqXa+SitXVshcJaOLyHveOjSRRazBQhVEroRzG6VpV6etV0eHKmfwargeKzrChM0dPZNNQ5A8LOnVGdNKQUalQjHUUsv2v9nxvigIckUfMXg+WYoKXwS7537pzmqJ8hT1nZW+Xp7wiau5zG2bRtrXveSudlS8lme8MoLUcC+q24kqVUHMhaKKlNaPt9S4Iv29tfDv/83hvRJ6EIIXA/WdAVYGw9y294pHh7PMTidZ+9UjqgUvOstX+dzn3v5vCrF86GRDQDmzrmt2N4fs9A0Tjuw+9GuRRtttNFGG2208TeMNkG4jTYex3C9GYfPRGZu9Hem4JIpuIRNm4GOILW2R5qQdActYpZOIu8wlbWbSi83GwqfABLQJVhQcBTDiRwruhopyrRWwlgyX0UO3jOVOaxOfQF4x2ymPxIoqh+JMtmnPzKXGKEfISLQ4fR9hUxtLhnltltrH1wDpSfwyN5hjlrTh9FkiqwjyaF6jPoO/2ZgaIIf/eXAES93KZtIIufQHTLI2i6rOwMcTOTLBj3w02Z1hxa/hAqZWkPH4ZHAbGWkNlpDSNdYHw+ybXThgSgpR3HPK9/Fyd/8bNMG8fHeFQwvW8vbP/C8GcfoPOcsRC3hT5vPbvGMxcPUxKKe50LheApLh20jc8mJy6MmUvpu1NNWdBDQNR4Ybo0YXguPM34wrrvwNZfjKTp7li3o3OXLenE939EaDxkMJvJkiuvBkAablsc4ZpXEKSruSSDnKc5Y07ng+i4WDwwn+dPeSZSC/ojJ+q7QvOeU1stWC8F1nvLVhHvCJsmi2qdjmiSBm3ZN0dEd4UVP30R3Z5ATwgGcgo0QIdJ5hwcOJIhYGqeui5NSgrEG89VSEa+OZJ/wPGgkjGR7fqrpyuDDRwuPs6FiQajXNqbf9j6m3/Y+uv71/URvvan8vQJG3/4Bss9cWODC3Aos4JwG/cLQZM3grFJ2nznFz1O+75T2/651/syF6v80ccllxK++quF6Iet53JTP8v1M9Ry45ujjiETqqOU2QDNDhyYF40sdyLZhE3uvu4P+d7wa6+GHyvV4YSjMmOvy7lgnPVIjUAyodpXiJaEoQ57Lvycm+audRxcQOelJLRXb+cl/rksOnv1d/JKnkrruDgCsQ9VEtGeFIpxhBflJJsVPsymmPA8NWKPpXB6OEL7iCxxzZmPFPFdRVjlrBMdTmLqgMEuW2lOK7eMpTN2nWUghiFga47P2FQXXK/Mg8o5HRYZ5NCFZ1RGoS16aD3nHoyOg1yWgA0QDRlNzVMDwScTlJyIgb3uYmkQIRdZWfqpqT1FrSjA0ievNP1cIIGxpRAM6hq6VM1OELK1pgrBdg82r8IliUvipqGvdc63EFbomWdcVQAHbx9ONiWF1fusM6sQsA1MTBHSdB4eny4eamoYUgjWdQdSFFwLzD6clwkn+GWdj3XzHTFY0VFldT6mZLAJS+GIBUvhrJUPz//WKa0NLl5y4PMq9gz4J6DWnr6InpJPIOJiaoLAIdrRb54HV+x4ok4pf/b5/qUsQroeO7mWcs7aDP+xJ4Hn++GhJf61XWaJsoHgYjvm2Ss3SCBk6AoHnedy3fxplGqQDAdLAr+7ybTpP3dx4fb5rMsfULXfx7JbupFjPdDX5z3Y9IpafcS2Vd8m71X0iYmlFdeq5mMrOXOv4ZTE8pUgW7CpSV1/ErGkjjpp60d6jfDKyqGynVXRRPA+O/tlHCWdaXxqUVYQ/9kau+fD/lL93PBjL2IymbUR4/ussi5hETA0hIJl3OCoeoOC65G0PS9MImU3YqhpUXheSQ1P+uNwVNNkzmcWpeBcC8DzFwdVHw09/x7IXPws9n50zRHhSkv3hr0hF4zXLqUcSrYRq8imnBja2TPya6FuNXUyBctHR8ZpjcNjUysE+e6cyPOWoHlxPEQ/55ObZY23U0uva+AQ0DO6sBV0T7BmpbxsJ6lrN7FWlIIaecH0VXCkF3SGjuMdUJHNOsY/NvV5nUEeXEqUUiVyBTsuYed8tEu9Ts/qwLhWzY9uEhA9/+1e86slHt3RtgA3xKJY+o04dvv4PpC9+Ohw6OOfYyppnv/Z9+o/a4Ks9K4+07SAQbNp8Ig8/eO+ccxvhdR+8gqet7yx/7gzqbB3JlMnBAFlXsXlH89d9QzjKoGvTKWtnopwNpRRK+DasmKVj6pKopcr7j4M//A2xgI71Lx/gWTf9lv8qEoQB/iuZ4C+FPK8Ox9hkGNilIEQhuKeQ52vpae4uzA2Q++kPvsWL+pYvaNs0l8Y7PxLnz8w8Y5kCg9NeOYCxM6CzuiPkrwlqXLukYL6xO8yuycycTA4rYhadlomnIGoabOgW7Biv7ouaFHQFDVJ5pxycHQ8ZxbWiqrK1a8KfmysDkMczDvcN+Xuq01fFCJu1jRMhQ2M673L3wQTdYYuNvSEsbW6YR6rgoO18mIHX+4Ebjd7DwGXnccP/XsP6NT3+uKT8wI3Vb35Jg7NqI/DXvzCdd7nr4BSbl4XpCWpIKVBKkCw4BIrCSVKAqTx+95Af9PizL13H0z7yOuIj++e8n2bs2wq4+cQLOPve39Q8ptY1DreKcOX1y4EHK1dy3O23lY8xJPx13QYotOCL0STH3Hk7kf7+papqG2200UYbbbTxd4w2QbiNNh7HcCoM6Xftn6p7XLrgsnUsRVfAQNcEPUFrjrHBkBo9QY3uoqrwYDLP9CJVLwuuIltwCVmLHYoUyaxNsphmfDpfKBvDWruKj1Y2isu+/yNcT6HJ1h0LhvQdMkqVnL5+2jFNiqJzylf1Uco3vkopy04dhWIwmS/XurQBdYp18Y2AvkFi53iubCARqLLtTuGnVm/lfpXyCaAlp9RCN9X9r3wu6d/cTGfgsZ3us43WMZUqNKUC8ljHQFeAjqJzaEXU4OGxLEPJAkf3hMi7qqZiVqsouI/ec4oWlesmawSPLCUe74R7IQTnrI0zkraZWCDZWxPwvd7TGAh1Es9M1TVYlpWPpOT3//o13vimC32lqAbXnv38mzWGls770xMubuLopcXB6QJ766jxHW6MZeyquTxiSnrCJnsmc1ia4LwNcZKFAqs6TB4YXnx5tYgaf8940dv+id/88Ostn/cP//ivxHtCGFoOXYqqvphxSymh55KPHh7LcPLy2KOiKvjnA4nyOl222BDCpoYuRVMpcUvHV+Ko7iASn2Tx10MpZEeYSQWTqQIqVyCZtZFCsLIzyLbhFBPJPJMZm1VdAU5c1cGpA3EKrsuuyYyfnl6A7Xjcus8nZixmamykUnw40Fd0mpfIRtWEEP9eLE2j4HpVc75Snk8iKLLIqs4p/6ca+qwsIpYuCJRSdtcZnMvOTFuxLGLNPaDyoBrn20d4nXGYkpgAjZXuACb/+T+YXKKyTE0QLpJrVJGa0mx/Wwh0KegM6r567AInhqXIBJF8y3tRkSjd3/96FelDAVmlcFB8IzXNd2aRgzeccCr//q3Do7h2uJH/8rcZqiAorb/wDD7d1TNnLNKEICgE66Tk8/Ee/mVqgqiQrPjAf7dUXsdNvgO7GYIkQPxD78QcOlTznB5N4w3RDt4Q7aj6XgHuJz9B7rcXzRsEuHsyw7qu+dlongc5x8VTyh8voUjmUWQqgyg9X0dck4JlL7oIY2J8zn2lX/ASwh/4MFBSOl24PSDveEStxudPZgvEOg2ceWw1nqLmHjbneH5qYgF5R2HpEqcGEbjZ6UuTgkhAJzCLwBe2dBJZZw5BZU451G8/fnps//yAIZtSFM4UXPZP51gWtlgRDXBwuj5ZW9UpeGV0RmxAKTiuL4Yu/bTfAV2SdxRR0yA9NdnS3lBNT5MqOASLadk9RVOZnmwXhKggYdke8aCvdnlCfwThQSrn4ik4uifKA8OtK1SWMHtu6gkb5GyvLom1I6D7ZCNLw/Vg+ZqjGNy3s+ny/u/Gv1YRxF1PUaukZqasiKlx995Jdk9YmJrkxoeG2dg3N9CjmaY9cdypTRw1F05vX9Xn0po4XZhLDobm904510UKwXSuem70lJpDTgRAURUQ3ghKKVY83LxIQi10D+5Gk8In8FW8q0INgmrplrWicdjUJVnbZTjlj+9hU2PXRI7xrENXwEQpGE7mKs4XWLoojg9zr1sLnvIDQ0TxyFNX+iqV9+f8vqLwg+ZRCkJh9JvvwPYUBxM52PEwbNhUvlZP2IAGa5RjeyNYmsRF8fBoClOTWLovO6+82hkIHhrJEDE1HG/m+R2czpO94MWc9pvvN5V2HuCX//J/DY6ai1TB5ffbR8k5HjFLmzMexesoipcQMGTTtlJTE0xkCiTyNkFTK99PqQ94xSAfZ97Fd/3flVJV9Q3oEkPT6A5pGJrk0HSuvP7VhCCZt1kZCxI19apAGV0TbO6LletWuRcqtSJXeexPZMvK36U9kf83POuYHmzPw/VgKudgSMGy3q55n9NsxEIzQbdSzGyRIr+6we/nTzsTEomqbJuTz30xyTe+k2N6I+WAlILrsb9oP/j4d3/N5SetaKke519eraytCcHT1sXpDZvceXCalbEABcclcOxGuKa5a7420oEHTZODPeAL572Oy7MOUhdlH15HQCfnuOQdxXTOIfjhT2D8y79TOKY6GOSWfI5b8jn6pcYKXUcp2O/ajDUIhsqiqHBytYTKd9IMORQg8e4Plr8LGZLJioY5lXOYKo5ZK6MW/bEAuSLTOVjRF01NY2M8zO6pDPnimm9dPERA06r37prOpp4wD4+lCeiSqKWTyNlVa21P+VmcusMGrlL0hP3153TeQQrfn5YuuIRNjUTO5cHhFBFT45SVkTmZjQK6xFWKrSMZ9ifyLIuYGJrGvqkciZzDmaujgB90NJGxUfiZJJohB5fMB+e94WK+eeUMubYrqLPl4J55nn7ta9110A/CShdcHhz2RReO6g6yc9wP0lFK0aXBHbsnkQK2rIgRDZv88l/+j7WdFqcNPoTxf19C5bNYu3ZUXX82Su///W/+CitWxLnqqTP97Qufe3nD+z9c1qZSnUZ6VjDVsxLTKXDoha9mz5rjOG11B8fNOv60vf493vuks7F37ylWTrDiYx8hv28/iWuuRVgWy971dvovv+ww1bqNNtpoo4022vh7RZsg3EYbj2PIcgS2YF13iIcbpEFXCiYq1IZ0KYmYOsYsaS0hBFHTIKjrPDyW9NVJFlHHqYy9BARhgYsiUSQGL5Skte8jVzDw0fc1bYwQml4mEolZRjlDUkXo9Yr2kZKhTHm+s8muZVip57yadWwsoLOtwTu1dMmuiSyPjNVPg3TOuo6WSI5jGbv8bDKOx2krYixE51GmUyBEUyRLVUwLeKTQ5mstHJqAH/9lrirD3yImMjYdZYezYFNPiE3dIUrJAhdLDrZ0WddxeLjQGdRJ5hx0TZDKu6gjUL78O+hRhibpLaaXXAhcBU8/fjkfed0XeMf3P8KGkV31D45E2fmjG3jexU+alxwMM8baRCyOCIWIDTWv7p3V65DRmsC2wWlOHGjdoQMw0Blg60j6sKQ6bgQpZozaAOvjQUbTBfZM+o6hczd0kSq4pAtuy8o/9fBYTXe9UBx9zBYe2fbAgs9fiPokwPING1DA5r4QpibZ2B3kwZE0Q0nfWaPVYRM4rseO8RTr43PLXWza9fkgK+YQT9VO014PR3eHkQIeGcuwa6JxqkvwCVSjaZv18SBj6Tz9EZOoKYkGdGIBnT/umpoJJBOCdbdcx5N//0Ms4TG+5VQeeeuHSGQc+jsChEMGKI/ekMlIKl/uC5YuWB8Psmsie0TG/f33/5mrP/KqOd8LqfOKK28g3FcknAwN+SmQa7StsKnRGw4sqHylFA+Pp+YlclXi2N4IUlTvqxqRt4JVJAJBT6j1MXk4vTBVzoXi8BKEjxxCptZYhbcJlBSNuyu+czq6OPjD6wBI2y7xkIHj+QTkZJEAE1n0vngezPOOUq98I6lXvpHIV79A/MffKY9LGc/leaODVIbvrBjYyOd+8YdFVaeZ92q7Ht1hc44y7VKj/x9egGT+NX5ASP6ts5uhtcdSW6+qNvTf/gporS1H7rxt/oNqQMulWeowvZ0TczMszEbW9tB/+ytWffpfy99V3q8C+NH3SP7oexz8zR0ooDNocDgxlXVYHVvcs1DMmGi0ei+wySIcTzGWLNAXE1jFtPCepxhN5puaUxT+3kMU1ekaHjgL9QItMgWX3YUMvWGzStmumWv6gTZzr+vH0JR2K4rcXXcW69AcSnsY74br4cJnopRi90SGqKWRtd2aKs6NsCrmz6G7JrK4apx1XYGmyMbzQZMQ1CWhYjCW69UmmgZ0yUBnEL2YQUuXgnuHEnz+l3/kpWesp5Cff75+72e/4Z9btxHOoJnmOJ5xuOahofKxa+JBgsbiAvhbVeYb/tRXqj7brmoY8NLsGnP7WL3xqvb5WdtFiObWMQLQFqeVAcDZa2eCOwR+W6rVrhU+4er5m3sZSxcYTBaqsu1kCi4J3WbXZBZLEyyLmkxXkGqn8w4dAY2803x7V4oK1Xj/X70BO3vPZMV+pIIcPB+ChkTXJFIK0nmXgqsouG519q4a49xY2iZdcOeQbR94zqvo2b+DtQ/9pWZbrLzSN/75m1W/ySb3YSWV4WTeJRbQq5717Lrq0ld1LwkDmJpE4AcIFhyv6j5DhkbIlBRcRabgoEnB9+4dmtOXn7Wpu2qM7ouYBHQNX91a8Zvtk2hSYGoCQxMcnNYJmxJDSvTid5oQaGJuUEzO8ZjK2mzpi/pKpMUAtoKrEAL6owGCuj6nnYriiF11+6r6j/FsoSbZ29IEAWNGtbgzqGO7ks6gT758x8c+z+c+/Pa5L6IObrhnV7nUUn0qqxX+/e3luuqaP+aE8Nu8LkXxHUF2FqH+mS95fdOK7//69Z+X/+6PWkRMDV1KAprkxP4YvWGTa7aNUnAV2pYnsqHJexNC0MwIrZQfOLJn8+msuPRSbtk5wWnr42X/VCLnv9vesIHtKaayDlnb5bxLX8aNP/nOnOsNeS5DTc6Xk56LB03Vc069gX2f/SoD73ptw7mk9GaGPvKp8nfdDcj5PSGD7pBF3lZIfKL+bHueJiXru8KMZfLEgyZ6nTRDlqaxsiPAwUSOnFOgK6RTyNSYEJSvlF0ZkCKFYCLjcM9gkvGMw5ZlYS48utifPY/I9b+k69v/hxwfLZ+TCUaQL3sX4TPOIWZp7C/2oUTOIesoNKHIOR6GFMSCOt7n/hMaPLtKlI6J7NlBaq3fCiebUHWvhzWdFq5H2X4K/pgXtTSWRUxGJjPcuHWUNfEgx68McNuuSbYOJXnCpmXsT+QZim7Efcen6Y9Z7J/K8fx/fhWxscGa65mCZvCD//wpy5M5BiezSMADXvuzTzV9/0uJUh1//t4vkF+5loKCsVSB0WSOM1ENfQUn3npz7R8++pGlr2gbbbTRRhtttNFGEW2CcBttPI6hS/Bcf6OysTdCznbZOzk/kWAkNeN8O6YngjZrY9wXs5BSsqo7BPiqMY7nEbUM7tg7wVi6wJb+KAo4mMg2TBuWdzym0gVCpoahz6RJcj1FznbLFtqgpdc12LmeYt9kdsGpKct44jk40Q70ZGJeY4QCYnfe76czFALHVQQMgcBPO1lw1RxC71JjvnTHjqfoi5jsGMsuisQNvoFpKudyz2A1IfnuA9O8lAVsvoXGUCpPynTpj1hzCBPgqyFM5QsMTefLpMyal2Jp3Z+PM77WEYXtePMqVf2tYP9UjrVdgeq2LeZXsGsWIePIpyzPFFxcBa5z5Fr5458e7OOk5VEeHl1IuIQPr+i9+NyLP8qxy6O85c/fhZ/+eOaA44/H/d/vkHMVtz0wzEbPbenZdkxPMLpiFapIEJ5PUUcB73tLa4o6S4VcC87LpYImBEOpAkYxRaDnqSriZSzgK3wcTORrKtG24ePnv7ud41a0RvKNd/dWfT7nkhfwh6t/1PT5Jz3ZT6FeUvh0PL/99EVMlkdNVsYsJjJ21fsMG5JYQGdtV4Cs46HPdsgLxb5EllWxEEsNKeCWvZNVDuF7DiVZ3WEx0FG/PE95ZB2PoC5JFRzyjktHk1kYukN+2u9s3iFq6MSDOuviYUbTOYK6pCuoM551eO6HX0HneLU0dujPN7H6FTfhScmdP7qZeMgk53p0FxUBI6YkVfBQSpSf8XAqz5b+8IKIN41Scpfwfy8/g0I6WfM35Tl8+41P5V+iXTw9FPaNHcX9gwLuP/vZ3P2itwB+2tCFQgjB+q4Q28fnJ8y1Cin8IKKaQYQt4vE0Bx9hcekFQ9z0W9Z88kMzn4v/KkBPTDJw4Rnk1m9g+Mrv1iSI5xcYbNR8BZs7LPXat5F67duqvqukDPSEjSVRLW4GpSCKww3rwN6mjxVCsHzvtpauv/yzH2/peFHn72bOU8B0zkEXRZXHOljyx/rAPawskoNr1bnyu5UXnMG+6+7ALdosKvdYCoX/P98qI4p7sPL3yif3uErNqzxvaKKpgJ9mxxi7wcVqqyf6/y0Hi+MHLslSqqjieb1Rk6FEdQYNu060nK9gPE+QdQ2rxnz3OLqQfbyAnOMQMQ0UqkyI8+s5E+itbriu9WsD2i2/Q3/ms7A9RdjSmcwUWiYHA8XU6hqpvK9st65rYQFCs6EUGLpkPGOjS4gFqgnvAugJm/SEzJo2L4Dv3rGL97/8mey6/5665Xz+qptZvqFEI5u/QXtNdW7Fup6ZtacQsKsGsbY7YtJRzBgR1AW5ikGlsq07poVeI+V87ZL9/4fjHWXiab0alxRGGx6Er4gshD+S5F2vrDAuhSifX4/j6qrqTGnz1d1d4kRoCrB0Dafh2tmvW8zSiRcVIy86Ou4/S+X/rpRv8ymrEwMSSOQWll2vmW/ng6FJjumNkLFdbM8jZ3vl8TCoS+4fWpiCt+MqBjoDc/bmN73140T27OD5V7wVWaPO6UgHP77iR2zoDrJjfGZ/WG8PUq/NKCBdJLWu6giSyBXIFRyipsZYxmFfIseBRJ5jekIsj/kZSzQpSOedMsFXlxAokvJT+eosiCVF/tmYPY6PpgozyquqVoBC/XH9KWs70WcNS1KAKGY7DBmyvNaTArqDZu0LNTF/dlg6Q8m544NlaFXEYSkEXUG9TFR88iWXsffeO/j5Vd+dt4zv/eRX5YDjxnEUAil88qJX2m8Vp+SSjXb2VP/q9/1LUwThT339x6w9+XTAV4HuDlp4ykMKiasgYAhWRAO86IR+rtk2xr6MjWeYSLuwqH1baa5NK8WI4/Czd3wGuWIjJ8QsusImmqjuwa7nq0cHKrI4vPHDV/CX3/+a6VnZH1pBAbi/kOdEK9Dy/Uy+9B/g2C3s/dJ3WfOmlzb09ez92GfgCWcR0H27TqUfsxLr4iHCuo6rSntsga4JQkKSKVQvJkxdsjwSqCtUIMAXSqo4YDLjzNkT9YQNEhV+UAF0hw2GUzY3754ibEguPqabdMElaEi8xBTdr7oMfXqqfHwJoWyKp33lY6ivfIxvf/ArrD9hU3ncGk4VWBH1+6SrFFnbo+eq79V5YvXx/CveytVfvwHb80jlF25/2DeV5+ieEJr0/aK9YZNtI2l/Je/mGE/mkQLW9oR44MA0Tzm6m/G0TcySdIYs0gWXE674J8J7t3NSZ5y7/t9necQO0vnLH3DufdcTVi4PrDqWn17yNoSAyMEp7nxoiI6wwYp4mGhPlBP33bfg+i8UpdZw/prnE92a42VrNTrDFg8Ppyi4cO++KV4z0HnE69VGG2200UYbbbTRCG2CcBttPI4hBBian2JPITi6L9oUQbgEbVYq3BKSOYeOUMkwJAhVpEc8YyCO4ykMzbcyresOM54ucNueibrlTGZsJjM2mvSVi01NkHe9CsUC6HA8ogEDXauuk6cUO8dS7GvivsKGRjxkMpLOzUmvJgUMdIWI/el2EhecB8VUnrUggM57tyIoGZAVuvTVQo5kKt+w0XgIdz2FIQUbe4I83EBFuBmkbTWHHAxQ8mu3qhSSuuS5SCFI5GziQQNH+cbQzoCBhiBtO+yvIHw38m/0R02ee+wyHM/D9hS2pyg4HgXXo+CqonPAJecoco5LzvFI5lxGHidE1scKBPCLv9bvN4cbS+3fdpU/vhyOdOcBXVal4z0S6Aoai1bDa6M+OkydiKk1nZp0NlSF52nrYJK3rn42vOPZABy9LEJvPETnzgkMTfL0T7+3pWuXDOu92+7Dm2Vmn6PqVvz37e/49kJuo4xmFXhqwVOweVmY+4YWT7yzdEFA03jiQIwDifoO66mcwwPFNHgZe+7cEDZ1bt2bWHR9/h5gWhaFfHPkAIAb79nOjvEZcv1bP/Zf3HHjr8hl5n//hmnxwf+u3Va7gzoB3c/kEDQk5x7VxR37Ejz1qC7yth8sUVLJ2zaaxPUU8ZBJR9Aoq46tiHnIimSPs51U8ymN+epDLraniJo6Arh9f4K7Ds0lt968e4rnH2cSNmuv7aSQGEIxkslTcDziQb1hhogSYrrg9/cPsSYe5K/7ExzbH+VP24Z5+pZ+cq7iYFFl+RVvvrDsRK/Ve6XncfplTyb5qz+QJOKr7Af1GTWUipOyjuI32yfoCuqc0B8BpZpWBJ+Pz/LVV55Vlxxcvgbw6VSCkwMB+rXq53nCzb9k8y2/4r6r6ii1PAYghWg6/fB8ONJBb4ezPFmPofFYwm1/KJODZ9e2ktsU2LWDZa9/EcNf/sGRrN1MBf4Gcdjf/l13tFROaT6IDO0n1b+6uXMOc/DwbBRcVUWyqYWl3uasec8b/OvOc1zp9/iH3snEx/+LLX2xuk3TkDM2h1pwlcdwHWIIwOqO4Dy18dEsWbrecYOpHAcbBKxv6A5jaUUijqs4ME8GgEbP0FekbFzhvOOTdSsVLWvTU5tHrRJHUgVGKgho6+MhgvrctYxYu35BZRaWrWD3ZJquoIGAee+7HoK6xnOO7cNTit2T2ab2+M2WZEpBb8QkW6jOZtYbNukNWXVUyauv/h/fvhaAu353DVd+/J8o5HL0D6znU9+fq1PeTMByM+1ZAbvGmgtwPZDIofCVGMfqBLLs/fj3eNX7Lp3XNliq2vWv/ic25d2WxqGuYH0bqBCUVUh7wgYhQ0OTzCFu1UPE1Juyl4RMjQMrNzCwf8e8x9aD09M757tmlzlhU3JCfxhPqbKabSPUawq69PfKxbgLYOa9OZ7Hjolk+beuoEEiZ2NWsC6VUsU6z0RDdAT840oFK6DLNAgYGlqJIF/Bzdc1ODDdeN9Y77HYXn0ZidTaDfzh+zehC8HoyCSR4SGS648ia3s4nmJDd5Bk3sWQokxW/+32CTb2hOgvEu5K5daza8SDOkL4ASjdQZOQIXlkLI0B3Lpvxm6wYzxD2nZZ1+XPRZWuCMejSmG0GVT2bU1UJyCUAgwpGgayVGI2iVYAy6IBMgVF0NBYEQ2xKgaTuQJj6QK2p+YQiv1K1b6+FDPrjFrvuZbqa872CJmSnrAJKOJBk3/7/P/yqte9icsuPBtHzW3zESvA7+7fQyQSIWhIHNfDdj2CRaXmukkaGwyUs+21l5+0ou6xlfjZt7/Ku04+C/B9MpVleKo0N0OHZXDuhi4eHE5x7Vv+jYv/6z0t+1UqIYoZGvNHb+YP7/4vVqPYMZQkUXDZN53ilJVRoqYsr18DRYGeg9N54kG9/Aq/9vv7+dfXPJf77vrzAmsC30wn+azVfBCOApSUJF/+OkKGZPUTTkK/eyvpW/6IeNvry8d5wCNv/X8ELn5O+buc4yFr9KGALtnYE8HzZpqn3y0E6YKLqQmCpkR5M1mchIBMncaia37gXT1F886gPiOOpGaCyQzNfy9jaRtNwDG9IcYzBbLFYIBcJkf8Zc9Fz6TmDax7xSdex62v/yDipLNRwPaxDCuiJgFDMp5xuGnXFC+ntTYkAInijNUx8o7fZ5KXvoTYT5onGpfGUPCfsSZgIB5EoAjoFmOpPH/eMcam/ihH9Ya5+ZFxnnl8PyN5l1AkQOe2+3jSJ99VXe/EOE9794t4KrD/OS/h2o9+g0eGU6TyDif3hXno4SGGbZeuiEUyW+Cvu8Z526mrm8qydziwC5ONa5fhZQ4QNjazc88YA1GNiR17SCSz3BJyuXDz8kehZm200UYbbbTRRhu10SYIt9HG4xwlg4xSYNRJkVMPrlIMprJ0Bgwmsjaep+gOmaztqa9wJoSfsqriG7rDFlv6ozww1Nih73rgeh75Gj6sRNYhkXWIWBrxiIUmBY7ncff+KUZStQ2Km/uigE86dpUqG9LiIQPHVexLZEgXXNZ1hYiYfopXx4XwtTcCkH7O+bB//8wFpQbX3EC4vx9f4HDGMKBL2aRKx9LixOUxUL7iYiLnMFTjWQx0BUjk3XKq7UqoJrfOjZROXSnRmnR4lp7Q5Bvfg6UUYVNj58SMU2K0gXOvHgaTBdK2Q8wyaFYLzlOK63eMVSlGtLE4aAJ2LkJB9bGIqaxLd2jpl0o5x6MjoJN3lyA3ZZPQ/haINX/DMHWNs9d1ce3DYws6fyRts3lVjAcPzFXQiQR01naH2DORRTouvbu3tnz9soMLhSslP3vnp3j+Z/6xiiiggP+54C08dMyZC7qHpcRSpZs+uifEypiF7XqsjFnl9J6zEa2T0l2XMNAVZGd7rmga9+web1pF+B8//AlqvZJv37qdt1x8JiMH9tU9t7O3n6/89u6G1w8aWoWjX3H2uk5ytltWBHI8fywuqRaNpAtVwUOPjKZYFg2gCV8F5VAyx+a+KFII9iUyOK5ifTyMpyocoApStkMi53DDjnGmKhS7jukNs220NvE5kXP4wf1DnLYyxvHLonOc0bbnsieRKSubKaXoj5ocms43JLB4rsd4ukDE0ljRYfkqhRGL+/ZOEgsaaELwovc8HznPirBMhnvWOey77g4ms6liv/FL35+oXr/ZriJm6WwbzbAyZtETMuqnLK9AidixKmZx7LIQpiZxXYWuCf60fYh8cnLeayggpTw+kZjkC/EZAkZZudF1OeFFTyd0+12LIku2EgjRH7WazkDQjIpys1jdEWBlrMJBqyrqUMlYbfpWGtXNv0NT8wlpzd7F3KJr60X1hiyUUlWO2UaPqiimV1bRLN1mSV2wxGlRyld3jJh6VW1qCv2UCqzz7hMffV/9ChVRdszv203MzqEi4TrkMaoegyYEscDi16Sm1vp1agk3hgydE5dX2ARmv4t6fLhZkUmeUuxV8weE2K6vBFmvbgD9EQshZPEh128cVYEeQG/YovCTb81bh1rY/Jsfcscr39PUsUoIxAL6tycEUjW7a6921M+n5D7Q1Rx5timkUi075iN33sYEjUcWKcVcKb8KzKcubdVkM81Fs/XWNVGTINLoJjoCOmaLtjjwA5zmVK7Yj4JSYLtekSRXWhtQ9W/Bm1kzQGP142awqOnpOc+H//hYy6ftf/bLIO8wXctIWAP+eqz22+wsqvvGgyaHkk2s7Zu438msTUfAYDJVoCtoYOmqbDvrDBh165Kvsyc558LncOq5Fy+2Wk3ZJptRywXIOYrOoI7tKWIBvS5BmEiEq979aS77zD/OIZyWUPr+vrOfzeATnsqm4gGmJugJm7gKhmuojJZQd76kel02nrbrPKf65zcSe5DCDywMGJJEzuG+V3yR4/56AYH8wshIh75zzZzvWumeAuqS3GeIrf5yRZfCV0ad9b7dIlmxGdiuqlKOLsEfnucSICthGrLpcmqhK2jw1PWdCAUI5a9lRWkoVKyPB3x9+eL3lUuAZMFlpx5geuVamEUirBVYsm00w7bRDBFTY208QF+ojmIu/p6lFLyyptPfd0ZMje2zAjgdBfsTefYn8mzuDZJIFTi6P4KhS9+PULzWSMrPrNgR0NGFqEkYP3VltCrbkqFJ3OJ4Y2qCH//5ANtH0gggbOmETI2gpREott1NKztxlSqram8dSdMZ1AkYGgo/q9Xarplnl3ddrnt4jImMXW4//VGTo3vCxIMGPSGDvOOh0BA1QlCEgB3jaTK2SyqV4o3POIl8ttpmfPRJZ/CJb/ys/DljVyspxywDQ8LAsVv4/l/9bFgjQ0Pc+/trufiFLyUvfS9AVuhEoBxkaWgzfwcNX9xltlujUd+t3I+96NSBBkdW49bfXcfrUikikQiaFEznC0RMo5h9En65bYQ9k34wUTxkMJmxWX/m6Tx07nM57nc/XxRJGCHo2rGVp++8Dauzg1UbN2OGgthRj4AuGEs7TOX8+bQ3bJaz/5y9rrNMFu8LW/z02t9TcBXf+J//4op//VCDAmvjFrtAKc/BfPeiAKFpdN79IJ3KF7nxifcK4ylPwf3rVvKuiy4kexNZAoXqtUBJTb2ETb0RApqGp9ScpJ4BfSYIN+tVrpb9fx3lYYhq3XEpfNvO7pHGvo7K8dipaDuzA0+O6Q0hRMjvg4D1hc9h1CEHV6K0f3zSlz9B7stPYp+j4ymYzrvctm+alR0WYXPh0vZZ20MKSBc8xl71Vo77yfdaaot/uuxNAIylCxRcP3hkNG3TEzJJTOfoiwUIRgJgGVyysgOhS7y8y0nXfoeTr/l2+R5rYc0vvsfLf/E9vvPBr2B39zE8OIWlSw6OZzhjcz+JRJb942l+c+tunrngJ7AwlFrRR097GW4qx2TPWg6NZThj83K27x7lQN5Dug7SXHjmqjbaaKONNtpoo43DgTZBuI02/g5Q8qlIKVgXD7F7onkSn1Kwp0KdN1XI0t8RoDfSWkq+1V2heQnCzSCVdzE0m3BARykYLRJiLV3QFTTJOy62q1gXD5eNAbMdOL49TbCmI1zeZNdy8oR/cT3z+KN8EvGBA6SVQgWDcM2NRLq6Fn2fzUCp0r2ALjW6QxodAYOHx6qVfm1Xsa4rUJMg3Cw6gzq6hKeuj5N3PB4qGh3Ttssf/vP7nPvuFzZtPLDj3URMDUuXTOWaJEjOQ8LYO5Xj+GXNE8qkEJy7Ls5kdmSOYkEbC8MND4482lVYcuybyhEPNiBuLBARqzqN3pHARKZAQJdNqcy0sTD8ac/8xLV6WBE1ufrhuX1IAKt6I2wbzRAyJPfvT/C8RTDaBKB5HqlID9+68jf0hg2uu/vggq9XD4ult0UWYdwuwdAEqzsCZXWOqKUxnqnd/nUJEUtWpdRb1WExOJ0/rOTgxytt/6FDKU7Z0EcuU3+9+d/f+BHnnv9M9k/XPuaL19wOwCff8Sru+sP15e+3nP4UPvLlHzZVj9nki9njX8FVRKz6b8FVcGi6Wg3wwZFklVrTvkQGIcB2FGnbLa8rlVJ0Bo0qgnA9cnAJWdvjj3umeGQsw7OP6cWqSPmpC8m6rhAj6TxTWQchBBFTm7evle5ub9EBeKiopH3JaauQwC/uPMDL7XxTbbF0TPSLnyL5lveSLjhkbMVExmZPhRJizNLoChrlIKzRtE1vyOCkFRE/LXMxu8NsaEIQ1CXP3NRddFC5OK7//PIufObFT2qilj5c4O5CjhHXoW+WirAAtLyvHrhAIUL/Oi10YF3WzspyuCGFr5w1g8MZzOhfW5diUUSQenUUCFJ597CsY+Ihc07wZ2PMPS590++aLq80TsQuu5ADv7ipqXNM3WR6CdaOZshYkutETB1nMR2oCE36zu2lwKqYNtPPWuxuBXth+0GtRtaBeph++rPo/O1cUlg9lJ7u/i98k4G3vqKleg2/7QPEAjqupwgaou6+w5CyZqDOHDTxPFe+5tKW6lgO2pjn2vPxHOervqlJnCaaWLOteSEqvLoUKFTTgSIlNFKT16Xg3qG5gYWNUItk3wqaCf2oSZ4GAoEA6YYJw2eXVTwy0JrdcSnn2uXRAKtipUCIEh1RcV/Fc/fUDEGykgQUtTQCuqxrS6xc41XCQ81RuR1J2SRyDh7++tJTsC4eRClVXHP65MBNvaFyCxPA1dsap4lXQNjU5g0kEAImsw5RS2O4jjhDCakNW/jGFT/hpR98MYZdmPO2PQQ//eevzCivF42I6+NhQoaG7XkNCcKGFFXBfRFTK4pHVAdRNBciMqvuBZeukK8CqZT/DDsCOlIKknmHVMH1swUV3/eu9RGO2zo3y1ojKMA2LLpDRtV3SvmBi60ioIviI/QJn2FTYyxtz7xXNdMnTW1+5fH69W6Wbj33uLztgag1+ilcTxAqKpmKIqG58kghfCXQ6XypMFEpWMzM0aJqXd7qUiBkSC7Y2M1wKk+y4NET1EAIDI0iKXzWfYtqZfuhZI5lEQspBNsaqHI/PJTijh1+vwybGqdv7CHlqHnnsRJ2jmdYEQtgSFjTGcAyfKGS8WSBn951sCy4oYBU3iGVd6DCDdPdFSKRm0WUTlevf2xP8bR1ca56YLhmMMBQsjDHt3DRph6O6porJON6sLYrxDmnHcvYoQM17+mRe+7g8pNW8LoPXsH5l79szu+ld1j5jPr6+3nGi1+DZkik4/kqzuFZZO6Kppi1/Q+WLrFdF9fz5wrbVXX7hacUEUvDdhWu29oa8XXnbuHHd+7F1CQHp/OYWoHVnUHuH0qXycHg75l1AYeSedZ/4P8xePLxLPvMx5EVC59WZrTSsSuuvAIhBD2ei/7s5zH2oleTMzvZ2B3m23cP4gHLY4IN3UEcT9ET1LF0gasE8aCJ6ymm8wXOffHruPqnV7H1gXtauv9f3vAntI3H4Z5+/Lz3EXz/h4i8/OW+0rPnqy5XvjxLl8Xv4Kh4qGr+XR8PoaBMED6+P4bn1V+HuA2ce7bnsX0sxZb+GCWRal0T7BhLkW4iyFmIGd9roiJzx2yhDkX172t+8ZOWs5ec89bnc9u3f0tfxM+s8NT1XeyZzLK5P1Iuo9Wgwr8cmOasgQ5u3DnpB88edzJ9D/113muVzh9/xnMJuYqgJjDCvh1oQ3eQVCpPd1eIXscj4Xis7ggwlCqwPm4gDh2YlxxcumeJr6Ds6iYfff2VJDI2Rx+9jO1Jh4BusKE/xliDLB6tonTfje6/dO/n9D+bc44/mYl0ng09XUwn8/zq3kE2LIty4pNPZmS6wMWnV2ebeRTMQm200UYbbbTRRhtVaBOE22jj7wAztgXF/qnWFD5rqUrcsXeSJ66N0x1uPgJSk74ixHwKL81gMmMzmbEJmYKVsQDdYWuOg7JZ22qj2gQNWeWUUUrhKMVktkDgnNPQvBkjgQJENgvnPYk0wI+uJrxhQ9P3tBTQBIzl5hquDE1w32C9996c6SBiSN58xpqyg+PE/hjgG0BGMr0MPfFp9N/2+7pXKz1nT0rSP72eVM43sC8Vto6m2dIXackhZOoaz9rUww/vG64iqrT36a3D0gR37p16tKux5JjKOS07cptBKj9DIjtS8JTvhGgThA8fTlge5U97phZ0bqIOOeakgU4OFh0wGdvj9KPibF9+NMcdeGih1QTgVf/6Sr5xxU8wo3GeuKGbeNRPfzsylWUyU+DgRIZMYTFtZXGtO2u7nLEmxrbhDIkmFcNmY23nDDl4Pjie4skDnVz3yET5OwWLIg/+vePuHT7h/cWXnMt9d/8FpRSmaXLVDX9mQ8X6aD6izQc+940F18HUBIdD176yXcwmXZV+EkJUpTRuBcOpAncPJnni6s7yd0IIpBLk7Mr1iqoiSdRC3SZcXLB9+KvvbLl+XVdfRfIt7/XnFUMS7rA4OJ0nU6xbX8SsytCQdzwOTOfLqWU14RMuco5HxvbosHT6Iga7JrKcva6zbr/NZeZXGZ19izfksrwkHK35+/STTyd888LTpx7RSbwN4PA98kYO46bx7re2fIqWfxTU6ZdqWft4a/+vfj28+y0tn3bf01/Q9LGJf/wwnb+9piXHfaGvHzZsqqvGORslZ3X+Wc8jXzE3hE2NoCHnzEvNm2bmP1CmFhYMHqhDlCyhHtGjhEb2pailY+laOdikEZomUzRiMdSAJmBZuKhuXURJ2bMy9XWrcJWqTmndBNbFw9UFFv/2lE+Ema06Kyr+C7A3Mf88bGj1V3baf3wa9/3vnvcapVpMvPMD8x47G0L5Kd1nU7Jn24maITtLMVstWqFJX63c0iVRS2fvVIa1XSFcn4uJLgEBjuthGRrZmvspxXTOpruUXUFRJv8WHEWmUN1Ph1IFHp4nU9MxvSEyFfY1vYKUJCi2OYrLP1H6TtBZJKrqUqCKbdJT1XWWwr+vbMFFymLGuCIxutRkqs6IRPju564mZmlMjyfo33k/Q0cdD5G5GUaUmHlLBXd+pXTHUyRyDmFTw3G9sk0xbMxPdJ55GvUxmXHoDhsksjbLowGGU/k55EEPWBYx2PtPV2N89Bls3OnMe+WyPVQIbv3W9aytQbzUBWxZFsOQsGcqw+Ssvl1rKJxR9fX/Ldmva6nPzh4qI6ZOUNcoeB55x6PguJQe4ez9Rb3e8qe90+Qdr8zdPXF5lM5A9Zi+fSI1R7m1Eif2dzQc5wueW1Ptt4QZQr3A9byq5yYFHNUdJGN7BHRZzvZiaZI1nQEKrkdQl2zoDrG6I0DOcbH0mcoWXFUzGMrSqgPvh1N5hlP5eRU8pyoy1aQLLr9/cJgTV3ewrDOAaRo+GT/n1A0OcTzFaLrAcX0huoIGBxM5fvSn3eSK76A7pKMQ5B2XrO3NaTOZBkEnJbie4n/+XJvMWw9mnWxluhScdcomxg7NH5D+lU+8jxXL4px+3iUI4e8fHU+ViXRRa64gSMjUyRQDtXaOpzm2L4rn+X2x1q0mcgV2TmQImxo9IRNdCkxNEjZ1lFIIMaMwGw+aBHSdZ51zSnMPoQJOoUDQkCSLNr6Cq9g3leWO/YnyMatiFsf1hrj6nkHu2Z/gCcsjWBdcwpWBY0lOjPPK336FFTvua7lsAWgVKs3OT35Mx29/Q/jL3ya+bB3POa6HnOuxfSxLquAynXO4ec8U522IIwW4notSkv1FsuW/fudaLj9pRUt1OHbLCRyYzvHrr95AbNdOzvu3N1aRnj0h0X70C+KbNpJ3VHmetHSJLL77UoamwWSWjoCBJiSJ/My4aWqCDkun4PqZNR1vrmJwJQKGJGd7BA2/75aqY+mSnOOwcyKNAg5NZ+mPBDE0wf1DiXntgbGAji4FnvLXeyFDI1VwCRmStO2W70UpX1l4z1SOXMEjWXARO7czUGgcdFMLWiFPzNJZGTWZyvkB1Y6nMCU44Qh6urXAldxJT+CsAX8cfsraTh4cTvPX//dZnvielxEbOlBz31I58/z8qzcgXI+/7BzD9hQXnbgcgOlMgUMTGVxPsX8yx2nruhhO5ekJm+xP5Hn5v78ealx7Nip/15wCH7ry9Xzqn77LUMZBKUW3hGS6wD17JupeYyHY3rue9aO76torXeBTb/8/+NEvcTLTbB+XbB8f4cxNvTz3rPXYmsahySwnDnSyrKM6Y0vb79hGG2200UYbbTzaaBOE22jj7wCljZvjzU2pVAsSiBZTj9YjHfx53wRnH9WLJiBgNDOUCE5c0cHu8dac+42QKSj6owE8pTgcWpylFHOe8sjYLpM5m+mcw5oLz5izmZuzuXvBJaS/+h3CJ596GGpWG67yU+Qm8w5CUEwj57FtNMN4HcdRM5vSdfEQMdOoabT1FPQELXq+eCXpL30e9ZUv1TUeO9EODv74eliAatV86VhHUgWm8w4dgdbS0scsg4uP6eGnD4487vzcRxJ/2T35aFehpZSMrSDjeISMhWhF1UbI0LBdt6bB+nBjPGO37Ehuo3mcuCzKQyPpqhR3zaKUcnB2O54d8zBhK4be+UmOe8+zF5x+sOQcfuX7LuWbV/4GNI2hTLFNGDqxDp1jVnVy27YRxho44w43QrrktFURdE1y+77pllS3OwM6HQGddIVTvnuuqE0VCq7H8qjJYJGQbTUgOLTRPL5/dWNVTVnHobgYRC0/S8FC+uJSwVNqUYFQD4+mWRkz6QoYZWWxguv5Tksx4/gMm5K8I9GkmFHeVoqSBzyftVnTFZyTKvO+3eOETI3zUo3V5WajrCJsaRiaLAcSdocMYsUBbD7VbVfBRMU8lMg75UCAhY5rtWADw26DcWOBZLYyDpNnZ0kDiB5ni9t6RMDekEE0YDCSyi+o3y1B/CqtPuwjHSjWRmOEn3ouC7FSpNbWDwi2NIkZrF5L2MtXYgw2l7lBAO5Pfk0PiuzNdxM6+5R5lawAJq++qaZSrMAnUpXIeJ1BHVMTNKO7qfBJEKpECBR+wGPVMVIDr/X+pzeQEBYsfI8XtXSesKaLTN6hK2wwOU/QjqMUVVzlCvkwxQzxVeATTWbXOlGH47GqI4gUEqOoUmjqgoLjX7REWFkIlIJlkQBT2eaJIILZhNcZuJ6q86xbH9vqIfCMi8hc80vUH2+aN7A8c9JpBC59Ial0a3sRIQRbR2vP777Cn/BV/fGVSavqLGaUWAW+LU0X1X3Y9aA75AslKAUDneEqhWrH84UGUGA7Hrqceea6FIykc4xnCi0pucomguBnB7o4nuJp6zurvjM1yW+2T1S8UkX/shj9+CTKeuu3A9P+OzimN8TyaFGlM5Vi9QvPR1aQ710p+c6Hvg79/TNFRCIMnfjEquud9IP/4sSbf11+7gp46KNXIM84Z977LGE2Gbis8FijXk4gxD3f+y1KKWLW/LbrybRNyNQ4kMjVbP0CwXDKH0+G//FXJL/1FtY8soOeebhJY/0DXPPPX6arzp7WUTCUzLIyFiRs6dRTxa2uS+0eamiSiFlU4P3guzDv+ysISeLiS0m98o2A3/41KXi4mOHE1ARhU2LpkumcTU/ImFGQbdBcS4EpJdL43DoubsVjScmqjkC5DNvzsN0Z4uh0zin3p76ISU/IKHfqrOPNuy85a6ADpTzGMoWawfS6FHSHjGKQgR9akC14xCwNt0j8K9UpXXDpDOh1M+WNTM9VuLx3f4ITPMV9B4cBeNbJK8jaHr1hg9GKeUspxci+cVav6OCBIY97BlMkJ9L85rbdnHl0L7c/Msp5p6ziQHHIXB0PsrwviqlLDCkwNeGT/TWJJgRSCKT0x5fKpmVqknVdAXZPNq/GWS8wZPcPvk+iCXJwCR99+z/w4MEkQgg85VXNE46rWB4NMJisrNdMuyq4flabWA0iseO5HJzOlfcI6YJLupBFABt7wmVSsOO5DCZzSAlBXSOo6+zZsb3p+lciOWuNZMiZZ7Q+HuCY3hCugs0DXTz75BVkCi737ZtkZCJNKqfz5QvewUd2vBZY3JZTug4qMYX+5tdwz//9mL1ZmMraVXvxc4/qYqRo98s7HromiZha+Xm99F0f5ruf/VhT5T2wZ4TxrM1YpsCLTujH29LPrqfcPuc4UxPoeQdLm1l45Yv9TxN+llDXUwwm8wwm85y8ogPTlWXF543dETRN+pOyAqFEw1GmNEdmbQ8p/PUXQKbgsmsyU/59PGPTF7HYPpah7Fir9VwFdIUMsgUPx1WETF913NQl3YYkXXC5eXeivK4a6Aywd8pvu+vjQQ5N51nV5H6gEv66WHHNpy/hCZdfwUF9Vbm/9oYNDv7kBgYuPLMpm0rpzpKfvhLHnnn2x/aFGEwW+PlHvsr6Hfdw1qffX/PcQ5tOYuKKKzknanLPUJqnbOnHcVymHcXmZWGk7ZAM6ExmbE5Y3cHQZBahCfrCpk+oXoBqvgBMPC7ZfTO3nXoRU8NT3PjXg4QsjQtOWgE3tnzJmvcG8OYTXsdJ6+L0RC1edOW7WJGfAmAkvoLfvOOzHBxLc2g0ybnPv4TzTx/g7Ss7UQosCWnbI51z2e24pHM2uj7T/wVtBeE22mijjTbaaOPRR5sg3EYbfwco7Tt0KThzoIu7909RaOBp6QoZjM9DqnA9+P32UQCeeVx/U0broKmzPBZgKrN05LSSIUeToEtZNigsBRwPkgWbA4lseVO/ukgObmov99qXwd1bl6w+zeCabaNVKavmwx92J7jo6C5AzDGGmppgY3cEGjiSKhF+09vhTW8nc89dOK97JcJ1UQiyTzyLsY98usU7aR27JrOcvLw1gjD4qSOfdlSc3+1c2mjjvxcEdMn1D4482tVYEnXyWhhKFlgfby21aSOETI2x9NKpZ7eKRM6ZV3GyjYWjN2wsiJSYzLucvLaLu2aR7Q+MZ9m82iQSNDmUKqBJQXfEwhYahlp4O5pvDjuULHDGpj5+dVdr6jFLDU9BwfF44poYf9ozRapJVeOpnMOdB6vJARk7TG+4/hyhFJyywlcaVUDWcVkRMyskYWeOLa8Div8pGXk/8tpL2XrXbXOu/ZQ3fITjL3hhU3X/e4O2xNbxUhDEbKfckYYAVnVYHKjHGJoHqYLLfUMp9ifyTaubZgou/WGDa+6u7Ww6bnmUhwZn+kVXqPU1U/ncp51WTvcIcF7FbxO9K/jlR7++4GsvJQJ12lfbJ/O3idlLvZ6wgeMqlkWDKAVHdRukCzZDydaIwn/LRN2e972Z8H13zfne7u5l9Pu/mknXXaEY+bcCXfjqcIsNuGga3b0wPtrUoQqY7OlveMyyaIA5NNJf3UD6zJOgGcWwK79KbzhA0JS+utrdW0mfelxVR6hsuwrYd9WNYAShxhyYzLvoUtAZ1LE0DUNoRfXJ5nrA6thMpJVSitFsvpzOHCBx0bOJX31VU9eqrPuiW2Sd6pua4L5DCVzPY03HPFFiwFS2wO7J+kSy45fFFkRWLrg+yangKnSJTw4uYqH3LoCwpZF3BBt6QqzqDDGZtrl3MDHPmYsb7dZ2hilEKjJsUXkPvmKvJkoquv76uMSJ8putIPDF/+Xgp/8T65tfqVubiee/BOtd72GsRXIw1FZOLddQ+crLza6rPKXmfUmz5yVLF1Xqn4asOED4ZKdW0cywvT+RY1VH4wxvja7TSltc/cwnIiuIPSX6p+Z5vPJfX4mH4FtXXjfn/R77y69yxnU/qlnmuo+8DwXs/eYvEMsajK0NKrr6ojOrVCpL9dJzGU57/lnYusHEb+bu0yoRMjRChpwhxtaqwqw63PeKL3IfEH3kNo7649fQ7CzS6WTFSBLXCHLns185hyRdD2MZu6rsnrCxoIwkExmb1c98EnJW0Eb3979O9/e/jtPRxfgvbyir7ZZIdxHLD7DsDOrk3dpzTSUillZURPcfiiF9MmqJZC+EwJuXBNa4PwYMSQdm+XOyYDOSyrLszS/F3LWDCH6Ayv4rrsQ74/Sq59cM/+yB4TRPGojV7ZsZ252zr/z9rqmqz0f3BBnoCqALyTF9YQ5N57Fdj7yryDsemYKLJkXNQJUNvWEG+qO84Amr+dX9gwhgWcRkOFVgQ3cIIRRDw9P84PptJDI2TzluGTuHkpi6ZH1/lK6IWSZmSykp6Xlv7I+RcBVZ2yOLH9zZyv74lJVRP4Dd8wNoPE/5Kq3F16WJkvK5H7BaQvqNr4I/3wFAl1LcvGwV08rjh+kkP8ummZjnpVx39U+56NmXIovBGZYuyDsl8mb1O5rt/9HrTAB7JrNVWQMBVsYCxCzDHyeUT/zOux7TxaDVlHRJF9wlszPnHJdnbOgibXvEgzpZ2yXvKnQp2DWZ5e4d42wdTBIKBTlxQwzhuNxx9qWcefNPFl228DxEcprUr68je9YzcJWvEo4CyxDlgIu+iMlYuuCr9wIrOyxGUwWe+8o3EQpF+con3tewnLt3DCPNEEHl0h0ycJUiHjToty0c5TE7pEGvM567ClxH4RTtnevjIQqOwtQ0NvVEodguvWJjdDx/7jeK778UMCDwFYILrlc173vK9yUqpTiUypZ9YVL4wXBbR1JIAfFQ7fG3K6STsz3G03b5jjLFIJWJqvHbJGxqVQFJ4M8h3SEDorGGz7MRfv7je/j5j8+ne8Diggsvov9Zn+S2fdMAXNrRTTQx3lRQYeKEUzGkJIuHIQW2p/jjHn8t+YSVUW5LHcNV7/w2RxfHmnhHsCyoABAZy7BvKsto2u833UGNZUGDo+NBekIGxy6PMp132ZfIkc7Z7BxN88CBac4+usd/Fgu8/+N/8CUGn/kCHsrkOf+UlXiOYmx6YXa3WkibQXpjAaYyBe7ZPUHqNZ/i9kdGWdsX4dnnbWKdgI5VcTp2DHP1n/dx584J+ruCvPV5J9DfHcbUJA8cGmNsaJp0ZxjlzdxpW4eijTbaaKONNtp4LKBNEG6jjb8D6BKUB54S9EQCPO3oXv64c6xueqlUi+m8906k6YsGCJvzDymdIXNJCcIluB40UXzT8JRiLJNnLFOYMfqnUhQzBjaN9LveQvizX1y6ijWAFFSlFWwWXUGLvrDlO0uUx9YRX4UmaGgsZLseOulU1J/v5/YDk/RFzAWr4lRCNeEVeWA4xUn90TnpI5vBsT1hRlIFHhhuLRVTG7BtcPrRrgIwK63lEmJ/Ise6uIVYvPsaOHxE5ubL9xUzKhUhDiv+jiTysrY3b/rXRujrCrE+XWDXyIyG3Ugyz8hDI5y2roveWIBk1mYsXeDdb/8Gn//cy4HFESsu+8CLueqT36/526PdViuRdzw29YaxXQ8hBHsmc4eF5F4y7JdgNKluu2PrffzTiy+s+/sf//ej/PF/P8qbf/pQ1fcF1+OPeycp6Z2oWTSLehClEWme6olZ/5b+KHVLgSAW0Dl5eXRJiLqNWszsq5fq0Bu26AzMKD2VPBmVdfSPV7OcHP4RKdvhYJGEGzJk3ZSsRxpCCDZ2BxlKFpoKsqoF12uexAJ+CvnBidpjkC5FFTkYFkdMqvUv+O8sPnqIV775Ar55xU9qppM+UggJwQlmY7LMYnC4aJae8tUHHytt+bGEyicSNrSy03ZF1EMI6Ss4GTorOyQPj7aypl+C+U7K5pgoCywxaupETH3mzHQa79wn1u2HxvgoK88/Hf7zC4TPfXpVNUeWIjvAEeAZr+oMEjZKgQw+UW/PRGZGKRI/Y8DKWJBUYfFrgvBvbyZ9yrFNqW4JYN///RQOta5EHr79HtIvfwE8eH/9g679PeH+uSS58F3+OiJ98dNh8BAe4HbEOfSDa+ccu/wVz8EYGSrPp54V5MB3r2HMiyCFTczSF7y/EULMacTJt7yX+NVXtaQE78nGXvJm+km9YyoD3ldE56+VqvH7sojFeDrPUd2RBSsZVy6vZseyZ22PkgBeK5ACsgWXzrBBT8RECoHjKjb3RXlwZGHq+FKImuqflSgR/io/V/5aamv+9FUk6LigaRRVdv3vxl76OpwX/wNsfYAVH/8nZCaNFwpz6EP/DsduAcBaaNuUgnlzgjeLFi5jaL4y8WzCml1SFMYn2TWDStVhmKsOXAvNrePrHzOUnH9ecDzF6gvPqGkTrfwsUbzyzRfw9U9fDfh7mqdc/1WO/s0vatai8vPaVz6HP3zuR4hlMyrEpT2pqUusOorja+oIOVR+Nhyb3meczv5ra5OEu4IG6YIDYq4C+2xs6q0RdNB7HtmzziuX+zB+E+oAYhWvMNhCdqr53nyhTNj0CfodlkbUzhK+6OxyPWpdU09MEj3nVCavuwNSKfpeejEy7wdIRIDM29+DfvlLsHR/DnZc5au9q+o6vfCEfmzXpStg+SQ8pbh/aLqqtLApcW1FaXc7uzlP5WwiZu2gxZAhi2NoBfH77NMYKFS3V+G5DLznDSgg+KZ3k32OH5jbTLc4Kh4kW3Dr2pHtWeNJrXfyyFiWR8aqA0xWdVhMFPvVCf1hukMG563vJO94XP/AMAXHYzSVZ8domsufsIr+iMWrnrSWH943SCLjn7dj3N/X6UiCpk4iY+N6ikPF/d6KeMhXKi/2C10TBDXBphUx8rNuJ6DLlgjCfWGjajxrRFYvDW2zg5iEEGhAl9B4VTjGK8IxPjA1zm2F+qIm73nTq3ju8y9Dl6LcVoKGfzMbuiMo/EwGqhjssSLqkxo9BWFTryn4elQ8xJ6pbJWtJ++4iKLa8P7pLOmCU9U2HU8xnXcwTAu7maCueeApn4gfMUSZyLxtJMPmZREOTWbL+/Ssq4hGA0w7im0vej1n3vyTJcmwI3NZjr3uB0Se+5zyd50BHSkhnfeIBjRGUgU6Ajqu5wfmHUzkiVgalg7nX/4yzr/8Zfz6e1/ja1d8aOa6UnL9rfewcmB9+b2MpgtMZGzG0jaTdTLYreoIEDINhKCmz0gK2F1s/2YFudariGvLO6q8Z/aUTww2KobvwDz76ZTtlOsm8MnBpc+e8m2QYVPD0AQ52yViGRQcj8kKn2ZlcwsbGkFTw1OqHCx+MJFjU2+YyexM39FEMSijuN5pFfmKRj6+N8/3/vfnnLf/Hjb9w7XELI37vvwzTn3dcwhMT85pO5X1zWw6lqkrrsR0XMKmRtjUmM45nLkmxkiyQMTSOG/LMo7uj3D1vUNsHUzy9C3LyufrUhDUZVnpvCekc2g0xfUH/DlgZWeAVV1B8o7LwakcvVGL047qJpvKk/zLgwu6dyru5+aHhugPaEwk87z2J//G2tHdC74mzDwbD3j/C/+T0UPTbFzRy57hFLc/Msq5J6zg+GP6sQseGVNython/u8v5W2VF/mBf5273/FRep58LltWdXLMyhgrOmdEZxokTmmjjTbaaKONNto4YmgThNto4+8AQoAh/Q2u7YGhaTxtYx/7JtPcPzjXgRC2dPItKCA+OJTkwaEkT93QQ6RGOqcjhaUiM7mex/7pLJYm6QwY5Y38qpdc1PrF/tA4tfZSYDJnk7Vdfrl1ZI7TaT50BnQ6LL3sgJBITlweI2O7hAytKl1iq4gHDQL6wtNmVqGJd5vIOYxnC/SEqskghoTOsIkuBbbrkcy75GfVSQjBWQOdjGWWwGH+dwRTk/zs7kOPdjWAhaefbea6jue3o6XAY0G4zfEUtqvaBKQlRsjUOHNNB7fvm0+9qzZG0jar4+EqgnAJd1YoC28uqty+/R3fLpOEYWFOg9B0feX04bTNJaes5Oo6aqSNcDi4xTFLA3yLf28oiiYFt++fftTVsIeGhhqSgytx5fOPqyIJuwrurbEOO5J46vquoprdo0MIFwhMbX5HfF0op5wid3a64ccCnjzQwV8HUy23U020TuJLFVz0oMlTtvTz523D5B3FiVaWLX+5AQHkLnoW5pq1bOkP89ChJEkP7l+1hRMOPNBSOVB/vKn8/pXvu5RvXvmbJbkuwGVveDdX/e9nmr5WQAieaNbOAKAAMQ8xbX40P+q2Oj4vXW987AR6LAkqJhfH81jd4at/aUKgBDwylqTgNAqvmPeyC8cPfgEvuKSlU+zunqaPDZsaSs20pPS5T6ReC65qb+95G+mfXEt43bqW6vbYg09MWtcVrlpLqyJZqR65qISg4WcaKh1fD+G7t5I85djKUmfKqvgcvnsrx+dtHE+xeyJLV8jggg3d1WXqsqx6N6ecb/sqmunf/Br+898hn4MNGwh/7XsN76N8/jU3ADCRzc9RPVx5+fnoyZm1aKnOWj7LwGXn4UlJ7ua7yup8s6GUwlEKXYi6hCmlVE1Sth3vxpgYn7f+paey/2s/o6dBMFZZPXkRiAcNdClbDtYxNMGyiEVvyFrUSDqaLtBhmUuq3q3w9+HjKd9OFTElnSGdg4n6CsjQeKwztPmzRvn30PpzLFQQ7KTwVUcBOPkkMj/9NeCvB7uY2SsrpXyFvSIEoGmigixbuy6yDtloISi4firyct8XpaA1EGrmc8CQKE+RtWs/m9J+21Pz1+vYvggSSSLvZzKD5gjCrlJo83Cjhaj/Y6rgYmmiSjV2Nk5476ubEkwo/f6cf34F//OP/0tH0KhLDp59ngLOfscLaq4fI6bGyqg55/sVL3pmTXJwretLzyP+oXcy8fH/AnzSZNjUmMzaZbtvYR7GvhSwokY9KtEVNJjK2jV7S8jQ5gSl1q9z47u6dW+iyg725LWdLHtmfXLw7O9LhO/ZCH/+P+Hz/8n4i19N6pVvRCm4afdU+fcN3UE0ITmuT7CiK4ih6yQyBVI1CKirO0JoxflGKUXGcZnIFsjZLgVXkbZdeiMWrquKCt8z59qeqlKFTRfn50ZPpe9Ln2FicJDkG99Jb9jgrLUd/jnFjqxLgSYlHaaGB0ih0KSEIvHUK9ahpDY+m/Tf7FQyXbH3i1q++7XgKYQU7B3PVP3+uRt2cMLKGOcc3cveQ9Os6YswXVw/aK7L7/64nWhQpysUwXE9IgGdE9bGMXVJKufgFRVUDw5Pc9+eSe65F8598gamcw4BQxLQNaJ9YS4+pheArOMxnCzwwPCM3Wmg06I/amF7yicdS0Hl6qLRfRuaIP2ELQ0nmUBx3/Ufnd28fXKUe+za+1ylFHlHIQ0xx1YpSmHSxQ4fMSU5x6PEHw3ote2bQkh6wib7pmbmyLGMjRCC7pBZJE/PHF85ln7ml7fxtgtPqX/zdRAL6JjFYA9/TBHkHZc1nUGSOZuj4iGO7Y3iAXfun+L0dV3sGEmxvjfMiq4APa5iOFlg73/+b5n8vmiS8N7d6MojEjSRUjCZ8ceozsBM0GXJZtEdMkgV3HKfjgV8v9Hb3vY23vPOd1ZfV/jrAyEhbbtVKrq1yMG6FMTMGQK6LsHQ/HdZakJ51y2vHRJZp7iWE1U+L1Pz24ip+W2i4Chs11c/toxSeHltOJ5b1R66Q8Yc5fhk3qU7qIMU2K5CKVVWmC6hK6RjO4qAIRlL21VBjP1hg+URgw5LZ2XUYjrnomsCXUpCJmSEYPSoY+ndubXpd+sqxS35uQT7G6/dQ0fXG9Av/zKDyTw/+OQPiIzt5/kfeT1y1trD1Q3u/MovGVgVJ17cR4+k8kxlHWIBjb6wQcTQcJVCCsFAb4TXn7OOPz0yjiEFazpNTE2SyLnEAhrTOZvVnUF2TWSJRAOcNiBI5V06gjp37J7E0iXHr4wy0BsmaBncsnOUtadvhm80edN1cMGJy3nwoSHe9Y13E8/5NtWF9JHKVjKiR3jZOR9kbfE9ltrjU09YwYqj+hh1/VJe/MaLsZyZMWx2uad+7iO4n/sIO395K8GAVd5PaeKx4RNqo4022mijjTbaaBOE22jj7wRCzGxEbNf/YiAeYVVniPsOJTiY8DeYC92smFIQWkoJ3wVgqQhJmpQMdITKG7j+SICs4+IVHnvkUSHg+/cMLlg9NWO7bBvLcGxvuOy0clww5eLIwa7ycDzFVNahO2yQLriLctQ02yZ3TGSrCMIruwKY+gzxKABEg4p945k5Sj2GlFy0sYfx7GPvPT9WMTiZbVnx6HBhPsWjxWA849AfWZrgh9kOhkcLedcjKGU5neRhw+OMmzQf1nQEuJ2FEYRNTWDbjUmEKzoCpItG+khqqKZy4FLiUNrmqcf2cdPWkcNUwsLgKoXrKk5fFcXSJddsm5+McrjQqsPols+8jQ98/lu+epMU7J+qr6BzuNEbNljfFXzUyl8aiHJayIWgSZHoBUMIOGVFmHsH00zUcJDVg6tgRcRkf6I1xSKRSnLaL7/Gs2/9LQFn1nrm90VC2llP5dh/+yz3Dk6zYWhHS9dvuh7Ff5/18Tfxqw99aUmu+cI3vadpgnAAwRsjHQ0JWdq1Ny6qPi3RUNuOoCWBFAK3uN7Lu4r9iRyw+DF0KZYq4Q0bmBve07i8Q9/91YLKSj/zvNZOuPSZcPdWwCdxbOqNMJrOl8mAmhBELZ2s45K13ZoEn8OGFh++ovU9f9CQ2K5qWp372m/+juyDW3n+FW9FVlTQEwLth78kvGEDADHL4Jy1cU7s9wkFAb062GVGT7U+whdcBBcsIAi5iL5wgL6IRSrvsHMiw6pnPwWtaLOoHHaq1D09j+CTT2b6tnuJmMaccdJDsWsiTdCQGJr0SXVC0BU0MYoEHyEEnQGDrF09Rx363rWsvuhMZPEl1VOvBJg+/cnQ399wnF6KAHBftbWZ61QfsyoWXJJ9rl0kvUkhcDwPD4UhJEII9AbqwY1aj6eq7SOpggcFj6hlAI1JwvWQLxLCGpGE53uKsmhLrLynwqygVClETcJQM2ikYFlC2FxE0Nks7EtkfdLQPGUe3RMp943GEBiamKNIWondExl0Kcjafmp7IQRag8Xq+niAo+JBPKWIWBoKUUU8rC69/nVK5MA9E1mG69xvbN/OuufXQnd6khXLYlzysVcVy58fpWNCux4gs75aXdFTip6Qn3WkHOyhwJhqbR8YufM2SiGyli6r1MYB+iMWvSETD1XzmQlgZ52MHSVMZm0sXdQMEsnaLncf8rMclIh1y2Mmw0W1WSFEUa0bGM1UkFYVTlEp1VUKz1NzlL8j3/9qU2Tp0n00InwroPv7X0cbG8X654/z9ieuKf9WGibWxH27uU9in79UIQRhQyds+L4DpYqKn0X1z5Apy+Ob7XjY7gxBOP3Ek8v1bnRPCoj//Puk3/hOgrokPav/lDJpRQMm+6dyVeNaPGQwWTE+6VLMGfdmj5GWJnGVqvpek4LpirVU0JBlor/nqTl9NFNwuX33JLcXg8J3jqY5ZaCToKVz4607OTCeYfn0DiKRIAf7NnLKUd3c8fAoz33Kel737C3s2TvOmt4I61d2snKgh/FDk0Q1OJhzSBaXycs7A1XBtANdgSqC8Mae0EwwgqXNCbxtFKjgpVPgNrd2DErJhzriXDY21PC4Zmbt2csHx1MzCt3FxjCdt/GUQhNiZvwoFuAqxXAqj6cUsYDuqxIr3y+WdzxcBf01sjnMh9d98Iq643Cq4NIfC6FLSORt7tg/TdpRYBo8ZXM/G7tnbDMDnQGMtSdz8MpvseLNr5i57+K/CyENa8pXnK6c13RNAtXvbzxjY0hBR0AnkXNI5hyWRy2MGms2T/kZPR1XYUqNo7pDoPz3cWg6h+0pwqZGLKAzNJ2nP2pVBaA5nh/4KfBVw21P8fDYzBg7mMwxmMyxuiNIZ9AoBjUU50ZXle3Zli78rJpSknNU3f2CpxT7p2f2j/Ea5GCA7rBBtuCWs6+OZ2ziIYOJjE1X0CBnoJgsAAABAABJREFUu0xmHHoq1gmG9MfkWx4Z447dk7z53KPI2P69DafyxEMGO8dn1ml/fvX7eNaHXt30u3SUYpdjs17X2eVUt7Hrr7+Nd79CZ6JYl/5NR/OtL/6ak1ZE2D2eJZF32dwXJmpp7DyUREzb9Ef8MTEeNHlkPMNdh5Kcs64DRynG0jZrOgOo4hr22NUd5D0Yms6TLdrf+iJhLE2yo3hPBQXdsQB7i8TgDb1hFIo79yZY2RVkx+A4mWyB71z7AM9nYW24hLNf/FTOrvi80OuU5o3zz/v38nd7RtPEIxYjiRyXP20joVgQqRRSeVzy7kvL5OBaZZYDM4H1z34S8V0zysbaEgnPtNFGG2200UYbbSwWbYJwG238nUEKMDWfeOB4Phn25FWdBIwkhxJZ30A6jwG8Fp5yVM+SqqIsBAtRNKmHSmOFLBoxm3X6Hkm4rqIvYhIyNXZNtO4MKriKP+yeYGN3yI+6XiJkK9jF42mbjoCOIUVLKc0WgoeGUzxhRQeaFEQDWlUqqhkIYkGDyRrtPGRoTD56XK2/KehScNVdBx7tapTRShr2VrF3MsuysF5XRatZdAWNqtRijzaytteUo7WN5uApxa8fGVvw+b1BnV8+NNzwmE3LY/x+m0/W/bevvhdYHO8sE4vPe0w48NjdLjiewpr/MIBF99+lwr1/urHs6FxKEsNC4KnDO3YeETw2Xus8WFggxmi6wIbuUDm9bC3oUtAZ0BlL5TnvSx9h9YN/LpZYGwoI33IT+aedzrb/+AlPcQ7voqf30K6Wjp/PSfTfP7uFtz7vrIbXCAjBC4MRnheK1C5DKZQQRJb3LyoY7nDCq3BwlwiRj5UAo0cThuanEV5qLFmM2bW/h2c+rXFZxX8TT71g4eUMLTx7h0SgC8nyyNzgkKhp+MptZZKHqOqQlTvtkCHxlqJJHoExXJOCcEBjLGk3rSKbWruBb115XdV3UUvjlRtWzjm2M/DoZVAq3U9A14h+8VNohULT6p7ORecycc2NdAfNqjWSJiSGVtq3zwySUUuvIkGGDB2YG8Sy/9e3s/Ky89BTqbqWmYnnvpjkG9857/01Q7KWUhQVtlV5vFT47EEF9IZNCq5XQw26+knNJiOPpvOs79IbKrI2i+m8TdTU2ZfIknd8tbuAoWG7Huu7wtTsCPPcesH1sHRRtsGlbIcDiwg6s/RmVJbr/65JeGh4GkdBZ1AnqOsI4QsJ+K6HJejsav5rLLSU1Z2BotK0x1i6gOcpbE9VBUxoQtAVMgibGkFdQ+CnotaaKHUqZ2NIyiqEYtb4Wmp/ybyvmnj/sE8gPXlFlKils6E7SDUtzEfY1HA8xYZ4iEzBJmUrQsZMaMNMMKmo+3B0AZuXRTgqHuLB4dpWz8jQ/qrrzYdS8z135D56hhoTAWvhsk+/h299sXoMdj01h8Rl/epnRFusVyU8pcqE0fIxQswJ+Gh0jVookepqQcGc3zqDejlNeyswZpFfl337yy2d3wzZtvO31+B89ONM5ew5hMzv//UQWcelw9QxdUk8NNduIIUo731LBMxyGUUytKcUli7IFbz64hc1VDMb1XvFc88le/0fy99HTA1LlyyPBqrqtK9i3PRmjYGmLnFmEWUFfmajnONRcBXPOa7XJ5QruPNQgr8cmKYroOMpXx057yhMTZL1/Os0u/cenMxycN84e0f8seCEU08ka7usPGYAHI9jMzamLol0htjSFeGEkxTbD07RaWgYvRHufXiE44/p55Ei0XK23WF2Vj2jSqG9RKJV5QfasN7POLv+bzXQKzWOM0weqqEirOm6L2KwgH2P7ao5ARj7p7JlMmOzCJta1d79yh/+ije/8FlNnSs1jfMvf1nd3yezNoPJArr0FynpgstAVwABHJrOVRGEwb+nFSedwL7r7oAH7mH1e9+IttCNi2Xh6f6atSuol8nw9eZ+21Mkcg49YRPb9eiNWHP2zlL464dSEJClS6TQy0EER8U1X5xC1/zgsmLW0aAhydvV/V0BGdvD8zwCukSXgqmKsXJ/Isv+orJ+R0BnVSxUVZfJrM2+qQyrOoJ0h8y6WTzStuMTifHJ4KlZqsAC6AjqZd9oT9hkPFNAKZjI2PRFTEZThfI8O5axCeiSqZzDLQeT7BtMcLDoWHro4DSnH9VF1DJ4wqoObM/j0LTf7qOWRnTDevae9GQG7vnTvHYQVSS6vzQc5RWRKHsdhyuTCW4t+GWlRh223/xNzjj/tTwyni2/g6ztkSiuZbxin+6PmkxkbEwpGE7aHJzOkyy4PGUgRs728JTggeE0DwynWR8PVvkbw6bkxP4IliH58/5pOnEZ3z9FwNJJpgv86N79nHVsP7976BC9HQG6O4Js7ovy2weHOX2gk/5VcbaEghSuMzFnB7Q3iblr+qXHKevj3L9vijsfGqKjv5Osqzh5oJNQPjOnDvWgA04+A0a0GBB0GCraRhtttNFGG220sQA8dj3+bbTRxmGDEL4RWBNge+ApwbHLonQFDfZNZhHCadlROpW1CT7KCsJ/8ySXFuB6HtvGMuydyjKUKrC2K0BHQCORq8106C2SAJfHLEbThbLRrCdscPnm/iXdpFamgiohkXOQwjd8SzGT6imVc1iiDJCAb0wazRRYEbXoiVrU27IHahKH/XRYraYf/XtFJueQrNPeHg0czreWsT0eGMkgK8opGaF0KThtVRTP853RJWdzpfOkpOqSd1xChm+YLykslVBy2klRTJ0nSt8vECXPSNkXWHTKlOs4o+zVEzapfoI1PNJKFPMy+j+pJuMxfFWbhd7E3xYKjreoIIi0o+iJmIyl6htJIxGTlV0BDk7mmlYHaoSrPvn9eY9ZSPDP4VT0roQA7jqYrPrO1AQDnQF0KTiULNR1zi4F3vGccw7btY8ExjM2Vz88xgu39DdUJ3ss42+h1pqA4/sj3LYv0dJ5OUcxWSerQciQ2DmbbNbht9sSfOyqjxA7sKtpYpjl2bzkn19a9d1SYyFhe/PVZdm6dXzpt/fwpmecVP7OBHQEHrBa13ldJMbTAqE55yql8PDJCPuuu4OuRQ5Th7PtFVw1J0+4IVnSNfPfIh7ry4lwfz/pOiThyrpPXHIZybe898hVDEi/9mWEv/qdeY/ziVHz7+kNKcgvxQKvwSXmS63eLFJ517d//I3Oc800fF0TdF19VUuXNabGOZTKM5ktsK4rVCZqKeqTRSoR0DWWRUwmsnZR7VKU16ZTv7wJpSDy/rdg3flnBAolJVP/+ik4y187RYtvOGDUJ+I1Uw/XU3OUDiuxs0GQTSV6wtVE71TBJeO4RE190dlWhpJ5hirI1AVXUXD99amnFkYYcL2S/auonCdlw+cA/rspqytWfqkgZ3vzNrVGy/vJrE2JizOVdZjCv7+OgE7I0Mt7W3sRkQXNKPcvJB7QkD5pSeGrPO+3ZwiDpSwVPWGDiKETCxhVCsnNiMHlHJefPzRSJqEGdImnFCFDY108yHjGLu9XZu9bbt2bYEN3sKzONxuaFAR1WSTzpDi+P1x35AzVCUx0FNy6L8Ef90xVEWUrccwNP2niTuei9wdfB1pfM4kaja0W1yv+4/nntVoI/+YXcMnz8ZQfxF1533nHQ5/dT2ZBChraOFq1KS50dpo9diyFfWD29QCM85/CxFPOpfPXvyj/ZvevYue/fbOKwHfGmhihWbZWz1M4xb6rCaoUXstkeXy17HydPp5++QtarruWS1ddbWUsQMDQy8qmpibQpSyO/X4dcnZ1+59NwAZYHjUxtWjxk6InaCCEwJSwpS9Mb9ggXXCqbCimJsjalBVS18SDeKoYtKh85f6SUrTn+f9ODE0xOJYiaGo4nkdCC7OsL0BvWNIZ76I/HubQ6DTH9oXpsHTyrsfGnhAPHZrm2JUxLj5jgD9uH+eUgMbkvv1kDuXZEw+jS1+9XhOiGHjgI5lzCOoSKQRSwF2DKXQpyRRcYgGdTd0NWpbTGrk9IATnWcGaBOHf3bmt7pyrS1/opoRmepkuBWFDQxTtr5oUaKLaZjudcyi4iqilYXvV60VTEzzxSWfx6f/5Jv/4xlc2LEtqGjduG5ojwBAP+QF4iZzDWMbmr4dSCGBTb5g9FQolz9gYx5mVVuDE5R0IFAXHY2zLSez/9e1ETEln0IRXvxh920NNPAVQmob99IsIGhpTGX++7goauJ6H02CNE7E0HNdDCLh3cJquoM7qjlB5HrQMSbZQTfOtHP40KQlVBpeZOjnbI2t7SAFBvTqzh1Iew+k8qYKLoQlilsZ03p1jV1gVqyZSO57HgeksroK9U1n2TWWJBnSipk5A9zNiSASu8tg3NTOfdgWr1YODhsTSZFWmg7F0oSqQZDRVoKuoJKxLgavg+u0T5a37yeu6OTh5EIA/bh/jjKPijKULfr+TkpOWR8jYHgemcuyayHHgjR/G/Jc3sHxoT0OyqxACHdCLDXeTYfLJzm7+N5Xguxk/kGDnn/6Hpz/7DWzqDTGaKhQVgGFlzGJ6IsU1f9jO6cevwDMNOoM6Ctg2mi7XveSXiJoSTfpBA3sns+hS4HmKU1dFWRYxSRdcjKIcbk436OsO88e/HmBodJonr+/g7keGmS4oVls5Mrpi+5jGxg6T/o4gmsyw4/YH+fV/fJ/n/OOliyb4LnbOm936g6bGk09YybY94wwX20p0OsczzlzLC99/WdNlltrsnmM3s2X/PpZQk6mNNtpoo4022mhj0WiazSeE0IA7gYNKqYuFEHHgh8BaYA/wAqXU5OGoZBtttHF4IMSMs9lTgv5YkP5YkKzt8pe9E0znmyPVSKA32qyG3+FDwVULIiM0jUueB1f/rLVz5NKoA+Ydl1v2TZUdFIPFlD4C2NAdojdssGVZhFv2TmFoEtv1mMr6ZtgN3UEu2NDDeLZAT8hiKJXnwHSO+waTHL8suuSkoNF0viYhy1PMSSdpSEHI8NUB6gR3+2jhpe4Yz9AfsXyxgzq3ZtVxRA6nCu2UP01AAD//68LVyw4HDjcfsZ7K7jG9IdJ59zFPWnm00B8N8LdB4Vs8UvbiCPMF1+Opm5dx2yOjZcWJ2cg6Hiev6+bVn37hosqaoRM0hi4Ftz0y2vr1j1CHUMDmvhCnroz66UjxFexL5ccCOnfsnz5s5Y8M7j1s1z5iWCAx5XDC9twGJHNRTgsKfmrQxeHw3LylCaKWgaP89VhAFzxtfSf3DaaYyDpNzxlRS2c846+dArqkK6gjga0HEmwf8snxl9zyw6bIwZUQQDibnPe4I44mPEQ9vX38fvsoe0emeMtFp5GdnuZV4ShnWQGOM+fuR0qqfAnPIxKKsP8XN5WLWgwOd7cpKStpGkghF6Sk9ajgMTaeNIPZyqGLQbi/H+7eSvr2W+HNr60KLEs842IS//jhRV0/vf3hhZ24a8eiyj1sqNNegrpGxNSXLMgsmXOLZFQ5R11uNuqVmc67XL9jjJOXx+iLmEdsrdNMl3Lc5oiKlddUQOS7X8N83Rt4eGz+XEmV6sEluIqK5znzQErkuczHPz/3QrOC6RplU2jm3g/nawibOlL6KdE9peqq0T0W4HiwuS/Kgeks4zVSZYP/rLKHIdJE12BwujaBNZFzCBkF8o5Hd8gkbTtELK1KmbdpNNUgVDkz1gz5zj/VV28TmLpGssLWGTQk9w/XXxNFLY2xtM0YNprIsnlZDHeex6hJ2DOZwfUUU3mnioCaK6pI28X068OpxuQ6VyliAb1mynrXU6QKLn/Y7btjHhhKc/yyUMtMaQGHPdvXYqGUQpeldyn8oIQFDsTu177I7z72fg55LrcVClz8rvfz2re9B4FPIAwZspxWvnZd/HahSVEkVAqUUuQcj3RhYaIDpiY4a6CDkKHNUYBGwOB0gbsPzWqnxSx6K2NWFdlzKaEAkUrSVUEOBjCHDvDc15yHbZh893NX+8fO0y9cVWsM8u82aNRusznHhYceaKnOpTnOkqIc/DFdcEjbbumOmMr5bWo8bZeftzWLwVXLVl79agUPj6cIGho9IRMpfWXW7Cy7kKVLOgI6Occlayt6e6PUw/KYxXTOJr26iy0nw9quAHsnc/RHTQKawNAl8YBByJCMjKewcw7r+mPYysPzBCNpXzAjY3tEnTSjB4a44Ve3cPElT2Z3g6yD2w8luHvPFABdYYP/uvzEMnk573hYGoxlbQqu5/e/4oNeyLJfCkFXjTUFwPL+fmZveYKGz+7N2x5Bw98Tmbr/li1dNJybk/MEzoDfl6XwQ1CmsjbxoEFnwA9sWd0RxNA0Lnr2pVx66WVcfN6TeOC+e6svIASf/s7VbDrpNCrlGWIBHUOTjKULxfvQ+OuhKcBvhZUBM+vjAXShmD3K68IPCFoWCTLQFSoTMzMFh9RLXoX8t48gc01kk9R1Jp/zAsK6ZDrvX7c/amFIP3vAw6PJORkTekIGadutsnNOZh0ms9OYmmBFLIChzQRXKaXKxPd62bsqVbq94ngQNH2SsacUe6cy5bHXV4R2y5kgSn6mgc5KRX3IOPactq3wid+V86YUELN0QoZGxnaJWXqZHCyAeHKc0AsvQXouHbOulfl//4p54cVMZPzxYiJj0x0yuWnX5Bxl+4mcS8TSSeUdcrZHJu8gi44mTcDGniBjaZuNPUFu35sAAds++022/eIqnvqDL1Q8H4WkcSa0oJS8MdrBPtfhj/kcuYJDxvZ4eDTD2q4AhibK85EbtDjxpNWs6wkxmnFYGQtgSLj42B5sxyPrKqKmT5C2PcWazgC7J7L0RUwChsZwMk9XRXY5Tfjzlqk8btk/zeq1PaxRY/zlD3/imKMH0KIBbr7pLjo7wpxx/tP56R8PcMv9g/S7o2QnJjAsjRvf9gnO+8IH697fkYInNS49ax17hpMYsTD7ci4nbuxj04CDq0nGci4PjmYJ2XMzpzSDpQ7eaaONNtpoo4022lgsWpH7fAewFYgVP38AuFEp9UkhxAeKn9+/xPVro402DjOEAFPzDZyu8g0PQUPjCQNxfr99pCmn3AkrOoqO1fm9+ofTpeILFYjDpgAb/ui/kW6VIHzNDUtStu0qHhqpdtyt6wpy5uoOukMmAJYuWBXzUyMCJPM228YynLAsghCCnpBPmuiPWPRHLE7uj9UxeKqyClCz8JTC9jxc5bXk7LGLqRu7w0Y5fdNisXUkzRNXd2A7HmYdIrAQgs6gPoewvD+RY23Xo092f6xDAPsaGJcfDcQsra7izeHEaKrAiqh5xMtt47EF2/O4bf/Uoq7RH7PYNZ5leV+MU47q4cb7DrGxP0rO9nh40HcGCmCq4NKdnlhwOaUZ8ptXzK8EZWqCqTokg0a4/+A0p6yLt3zeQuAq6iqmHW4ah5Q6sLC0eI8FBA3JMzf1tDTfHwmMpPNz5ud6mK3492jDkBALGIxnbPKZuW3jhOURBL7azq8fnr8fSxT9IZ2pVJ47Hx6t6QB96j3XP34cDk3eSM72CIfDfOPmrQD0qAJjzziTg45Nr6ZTKDrUNAG7bZuclHTecDdTj0ZlYcGDkQf4GYn/RsjB8NiX+a2Bw1Hl8JlPgru3MpHLMzi9MGdiTaxYtbDzguGlq0MTqEyjuhBu+3zqjAtBs+TIesV6wCNjGR4Zy3DG6g6esLKjzpFLi2YeQ3rHwgjgsV9dRe51byiTJQDChobteVUKfht7wmXFvRJczyVTqD1Xt8bZW9wMNjsl/FIi57iETY1k3iZmGTzWBzjHgxXRIFnbK7/Pww1d+sRIQ9NwZucex+/LY+kCtqeYyM6k614QQbiJxy+EoFCHvesWI8xczyFeVP/rCOgNs410BvUq+6JPcHQJ6L6dqaQALYUAoRhJFXxyX8Xzr9VEV3UEGOi02D2ZAxrvtXZP5FjdGahJEJ6NsYxN2laEzdYJwo1w59NfxJZbf93SNQFGX/RqBj76vkUpBK7pDGD/f/bOO06yqkz/33Nzxc5pMjPDDENOkkFQUQQUA6Jrwuyas/50zbvG1TVn14SwZmVVkigZyTkNTO4JPdOxuivedH5/3Krqyl3V08MMbD2fD0zXDeece+65J7zneZ83X4mz40lgf06c9xJ6f/KterfWhJSSrqkpXhiOIYB3AFd8/9u86mtfxF11MP973Z1l5GBLF2Sd8pcoqU+oPrQ/ip0XbJjOOU0pkG8YzxA3gzaVcTz6oga6orBjetZpOG6pAQl4ZAunvO91iDy50FU1rv7mHxC9+4YgXCDb1nt/umPz2rc/j/F/3FUk4pdib3vN6ZwDBRt1i/dm8u+hEbpCOomsQ3dYrxIFqEVhrXROLdyXsgP7aK0yjqXsYj9Qa79CIZhjhHWFybRNtmS9pxAQnXcksqzoMPFcj6G+MGEzRGdIJ6qrwdpSUxlN2RwxEGXTZIb1O2dY/9h2rv7rjYRMHTPcuH2s6I+hqyoPb5/kpFW9/PSeHZy/to8VXRZqKFhvd0VMJjI2u6azZfUabZhyNXwpmakxUfjpzY+XVWCBDJxxJCEjiEyWdXw0VZDJf5OGKgjpSs35XbPtJecGcx7VF2ycyNC1WGMq66EK8GICKX0sLXAuueGWO9ieyDKWstk8mWUwpmOoComsS8bxiZlBubOOXzW2CAGnreggbgbb8aMpm435c0P5CIi9ER3b80jnAiJwxvXz+20CpEAVCo7nMZGxmX7G6fQddwLGXbeh5OqvNXzLIvXSVxJeu7ZIVl7eFUZBwfMD1dhD++PsTmbZkz/fE6n+HgIHimDPcCBqEtE1HK/wvB5Jx+WR0eA76AnrdIUMDEUp2prqvaeMHRC/d81kqhwzukI6oymb7nDQBjtDGnFTLxtXpWzuTfsSpvLRLXsjRlExPKwrxN75BqxHHyx71lJEPv9J/C99hhX3P4Tvw7bJDONpmxOXxbnysfGylXrO8zllTS/XPDgCwDUP7+GcIweBYG9vNBVE3kjbHicv7+DKxycCh/AzzufnZ5wPwMs/eCFqahqzCTudJRTeFu3gplyWPlQ8X7K6J8RkxiFmarie5OihGEifqZxHX1Tn3i07WRLT6YlaJLIuMVMjZMhiNEPPlwxEdBRg21QWxw/ahaaKou3V9ny8TI4Jx2dVbxhNwHDHYhYfGcU0XIxQiHUHL6b/4HXsmMzynGOXEDEVLr/0FlauXMzWkWm0/oN5Nk35iO9TbPvv3/OipYv5wl8fK+4ribDJ8IwDzI71rY5DpdfW8Yloo4022mijjTba2C9oiiAshFgCnAd8Dnh//vAFwJn5v38OXE+bINxGG09ZCBF4EAsCReGQrqKrCrkmdvTu25kgNq5x+sre/brgcf3As3xfEYQBeOaz4IZ/NHetYdC5aBDyHt/zLVba9rjiibHi766QxlFDMQ7tixbDlpmaguP6RXIwQMzUG25cVpKDPekznXOYybnYrmRZZwi9xJjTGJLhqQy5uaRU6mCuHGQLS/Cc5zOStDE0hYG4VUctWFYZdqWUbJpItwnCTeDqh0b2dxGq4M+z7e0tknYQtvjJUhFr48CEgiBmtOJ3VyuNABLYOWOz7qBeAKIhOK0nCBc7lXXpsDSkohRYY02jVN/t51/+PUTn3soxNYVjVnShq4JbnxhvOq8DjG+6z3DWBS/n6l//dH8Xo4iQFijAOHUmHKt7QizrDNEfMcg4gbpVp3VgEWyffCx05y2K0R4a5VhJtKqHTSNJ7t4yWfNc1FQ5bMcjGO6BSVLfl8Ni0vawNGW2rqNRuPYeHCD9+X/DuPM2pGkw+sZ3Yp19HtY+KEMrz9eeIhzYWEgF4UqIBd7ujEQizK31WgP/9ukFLUc9aAr5aDayuCYv+1abxP78ZppR1R+IHmDOgTOJed0mXI/ecKAgV3C29nyJyBO8d05n6AgF5BfyBAyFwMkl68CyzjDTOYedFST4jhqOuPXgSx+tjoiwqgissveRjyKQD8e+sO2k+sVvGEty+GCc7YksB3U1jgwlkKiByGFRXVGIgGgREApEfn48q6wXt3R8KZE1nkTK4FtSlFk1wkYoja6wvCtURiws3L+38/PpXKCcFzN0XF+iKYL7RxKYqqjrxtIZCoi4TxaasV25eW0DXRVFe1o9+D5kKhwRnxhPFUmTIU0hbmlMZR0sTW1INi7F9kSW5Z0mIb05A2or41TEqJ2mrghOXxHYB0Ve/tNURRCJLf9At15zOX+59MdE45284b2fYmjVqqDxrAzua5XEc/uSY+iNRokkky3cBTe/9r1EDRUhgroqLG3W9lhl7zh10avp/cm3mi6XlBJFCEwoI169MBzl+aEIH9y8iWNX9nPPpj3FcwKBpQl8GYxrvgxIaqWwXZ+049MXMQhpKp4PY2kbRdC0GELhuSTB9x81VIbiJmMpm6zrs/uJxzn13a+tek7dczn/HS9EEpBMlSbrohU0Sk/k8+y88HnsvOyKqvMy1mTbrZOJlICqIrzWnQrqfTYD+SgAEogaChJJosaYpSgisL1IiSfB9X0c1ytTSK3cM6nMUldFWeSCvojO+Yf0IAlIeK7no6kK/9g4SdrxWdUTKlbFjvEUDw9PMjGTYyBmctNIgpMO7uPy+3ahZnKcevQi1o9lWdkTpssI+tprN04yNZEKPvK+AZ73sheycyJN58AAqxfFiBiBIn4i6+UdTyW24zGWcXA1lVMOHeJfjhrE8YOxXFMFyZxHzFLZkcgyMp2rdkBp0SCakZJbcuWCE7+9cyMdsVhZBVq6ipQ+eOW2stL6tL1A7UZTqveCCgrAvpT5/wqE92AO4fmSnOeRtIN36PmSw/ojWJpKxNAAyebJFEIEyu9dIQ1DUbhi/RhnrupmWadJyvbIOLNtp6CKWwtp20NXRFFhutPS6IvojKYcbtma4FmrusimZtf1ipTsmsmQyLqEdJWhmIUKoAgyjo8nFEY++nn6vv45wjf+HXwP4Za0Y9MEKdFf/xa0V76O3fl+aEncwtLK+zBfwlA8REdIJ+N4jMyUz+s0AUIJ2vJMzsNSHUw1SCPjBG1469TsOx1PO4ynHXRVMBg1iRgqmQbdYMbxUUT52BWIugQ3Le0IsTgWfBuGVk40FkI25VgYMQKl75znM5mxybmSzpCG9pH3FMnBtbqhwjHF85g49ijUm+8uOjylbY9zD+nhmicmypxBPEUpzhPO+NqHWTI5jNQU7nj2y9l63is4aWkMS1O5eUsCr6LgXvoXjHXOENFAS4LaxBJqiaqxVtP50DaLmbjJw3tSRE2Nld3BmLknZZPKuazoMFjRaXHhcUN4KEgZODkIqIpmEDEUNk64mJqC73h4Eh7bNcPuRJbd0zl6OsPsmsoyPJml07G5d+MYaxbFWb64lx2Tac485iCWHHIQE9NZsjM51GiIcETj9W9+Eaqm88TOFFGZw1VUtBZt2wsFCfiqirl0MSFd4U2nH8SN68c4bnknizstfnfPDlRFYTBusnYgBt+YXz4HWsS2Ntpoo4022mijjWaZDF8HPgyUxsAZkFLuApBS7hJC9C9w2dpoo439jDV9USbSNjsStUOdl6IzpBc3LxpjH2/37eNFV+Rr3yF18SvgwfsbX2gYRG67n4LNwsgbBefz9HfsSLAnaRM1VM5Z08tgtJzAKsiHcppH2gXIfCinUiPLE+MpesI6MVNHUygaf2rdu316/uRgCFQAGm0et7qZ9cR4msVxi51TWXqjOrFQ9SbuTLbcADGZdRqGEWwjgKEI7h+e3t/FOGBQUH9o4/82VEVw+vIutieyTDW5MVyJRmNoad8sJWw/9bkcdMNfW87jb2/9DDuOOqnp6yczLuganiI4YWU3d2xqTrn4/4r9800f/dw8CML7rnYOHYhyzFCMlO2xK5nj4d1JTE2hO6yzsivEUNSqGTmgjYWD40sc26MrpKMoQWjLWuHsU7bHs1Z18Y+Ntcm/EU2g+D6jOZfOsI6pBRsTvpS4HuiaQEpYftf8VCNhVhFsXyq2OHprJLpWyhIx1JrzxqmPfa6lPOeLp8aXVHjLT3KWTzXswzLvG4eZ1t9r5NTT90VBquD6UCeAy9MKyztDT5pzYDNNKHLMcfMijs+c+kx2jiWJmippx2dR3CSm6wgCpb7+aKA4qCuz4cRlCflFFQqhGuxeX0JYV5EEZLyc69d14k47Hvfvql5bLu8METUqnZiq0wjrC7MWq1XPnqRYtof3BP/2RQz6I2bVHaamBgq1pUzdGuUtVaytp0BawNreaJkDeLNQUFgaD1cd11UFdy9sNhMZm8mMS0hT0TVRVLTNNVBIrTXtTOVDYBfI6EIIdEUwmXFnCdVi1r1CyROvw4YyR+QIgapAE+ZLJjJOvmz1iUX9EYOBqMkje2aqzhUuz7g+maRdfK+WpmDpypwE+ROWBsEZByIGm7TsnMIMrQ0ltWdTihBoFS8kZqlMpl1efvwyfLe8zO+++e8AHH7C6Xzqh78md/A6zCcebboU0119pB2f337597zu7c9rao5XqNeNJz0fakSIqZWGG42iNUlArkcg14VAF4KvdPbyhok9vPQ5p/D7a28Fqsl+Aqrer6Up9EQMfN8n6bjFdX1nSCeVc+kJ6yRtL3jPUtJpabO9RH4wWdYxa+cdTdlMZRwcP7Ah33Pd3Vz45XcU86/7fE3Vwr6BPtG8M3FN1OlGJLD9Gz9l+Ttf21JSAdHaL9avAKQQCCkJaxrDkxlu3jBGIuPwlmcehO0Fa7hSeL6sIv1PZV0e2JXE0BRMTWFJh8l01qPDVPEIxktDVVjeaQCBE4Lj+fgyUM5VBSQq83F9TlvewT+3JdgykcGTAXn05vWBUMiRS+KEDZXDFndi6hqLukMkphWOW9rNmt5ACd1UYHVvmAsP72cibfOXu7ajOZJFK/pYvkbHiBrsSeZY0xsGBGOpLIm0TTpl88DwFMesCbZ1w4aKJwW6Ao/sninatlKOz87pLJaqsG4gQrrkGdTf/S/eS1/Q0vu5w84hFIVv/OZ6hlavBsjXdZ7CKyVRSyNiqfiez8QcJHtNrU0QDtT/y2FqeYcnESjg370zgaoI1LyDjyoC1edScnfc1DikL8Y/t05w/JI4tudhqSoxU0NRCg6BEiEaTw51VRTHC8+XrOiyGM0/27apLAd1WcXnsD2Jn3NZNrIF73WvwJGSQmscBCLf+T6Tx5yM95nPs2P9BmKX/4bwP29EyeVQ4zGmzjqH6ee/iFOOXk3K9gkZDp7v0x0ya87JXE8S0lS2TaWJmRrJnFt0PO8sUdjuDess74qU9Y25GhEECkg7HtM5lyU15iWlMFSRj4wZIpFzivn1RXQaJM901p2THBzWVZZ1hFGFIJvOkXMl3SGdyYzDsttuBubuPwUgbZvxRx+BgRXF4ynb47kHd3Pl+nF0VdAd1gnlMnz9G6+pUiE/5fL/5pTL/5tkOMoDP7uSrrBe/MaGt7+Qglrtpa8M5taKD8fdIznhLp94g2FOAs+PRej2FCaHt7GsfzF7UjYhTSHt+PSENZZ3GkgEWyezPDaaQVcVDuq2mEg7eVVlnazjIYTAVBWyrsfhA0EEGiklOdvjZ7dsZVVflMU9ETJ+4DgxEDfpUgxOj1mYhsohSzrQ96TZPJaiI6RjmhpHRw2SqRy3/vl6+no7iEUt7n9gI+FQmD1WJ4vSezl+tIhCc/GFYM/VtxPWBWnbozdu8qHnrinOFT5+buAcZWkKQsBYnfTmQtsE20YbbbTRRhttHGiY05IqhDgf2COlvFsIcWarGQgh3gK8BWDZsmWt3t5GG208yVBEEI7Xk7C8O8Ly7ggrunKMJ+3iAqq4JSnKF9B7Epl8aL3G6e9LeJ7c51vhkZ//ilQyCWedBDVUDLQv/Rexc84t8x62PVkzNF09uJ4feMb7PtvyXtgXHNpPVw2lPyGoST6pB9vzcHxJSFPwJezIk3ulhIO6wqiKYHcyy0zOK3p9AwzFTbpMo8qo7vj+nJtbcyFpe3RYWsvqUvXw2GiKU5d3oisKY0mHWEinrGHWqK7h/E7SxvEMMUsrXqcpMBhrjeAihCjfvajMT5QoSdS5TorgXEFBJDgtyzajy/Yf631be/MxiPKkBbBlNLXPv7GnEsz8d9RGG6oieNaqbv7w8J65Ly7BYMxgbW8YgaTTinPHHAT8dd/7D/rWB04qTaslESgKtUIOLoXrS+JRk8OWxHl4+9wOAgutmHggI97dw3QLG6Kf/ekf91lZCoo3lqbSEzY4vD82900HIFqZ0+wtQauZcPPzwWReVcZUBWFDLdtELUBKyXMP7uaaJ6qJ98Lzuf6x0bJju6erQ4cONanQWAuy4u+F/GoLaV//rT9waG+koaJead6bJjKIokJk42s3TGQCRUuR/zvPXBNCcMyiGgrpFQ+5YzrDYHTvwjF35TcW50J0gQhsrUIISVGcsMbkrZmIrK22C9f1myCIzq+1LesIsWOmmvm1t2035/ogJMY+CIXTFzZqRxiofBdIDFXBJyCklJ0XIKRAV4NvQ//vn+O8sXmijDj1VHQ1qCXX84t/10Ol2l0t+L6sm47rSwSz5z0/yFPUSNuXkkN6y7/X7IYN8C8vJiWD/rmg7pT9y/XF6Aelzbnwd03Vr6IiYxA2V0qZt2HUr4OjBiOUPn5IC0I8l2LndBpDVfN51FzqIWU9gvjsQUsTxVDionhj+dUTGVm1/ra0IHx1ISlLV+ZcEpaieO1HPklH/qaYqZJzfXTFI1ShLNeoPdRycIvoKt3xWbKbK31GZrI1x4J6Ke/TqFAlEMAh/UFkptHU3Ir8oymboZjFfHm2lQTNhmWbR+dm5BVha2Ivq7TwSjKuR7PTj4zjY6qijESccXyipsrfN8w6SS2Km1VK1JUI6x2k7cYV32HVHm+7wzqKgETGKTrx+zJwhgwbKhnHQxCQiHQ1ID/P5DxyXoa5pqWdllYk+GRdH8eXxC2V6bxDeq3XqCsC3/cRQvCMJTFu3pKomfa5n38HXSNbQVVYf9yzuOvV721cGOr3h7XkCi5+zkns2LapYXoP3XETrzhuOVc/sgP9mcc1rVD7p8//stjmhleuZemm9Q3nm4XSXfGmj9ZNs9a9O373d5adc2Ld863AEoK3ReN88JEH6l5TqzlkXZ+sa9Md1lk/OuuuoQjIupKsG8wVu0IatidrOhTbebJVMm9b1VURiDBImiYHF30U5rh2oVHIO/b9r6O894Nlff1o2i6ug8rMnjNJ+i98Dkrepp4sOTd10atJvfHdKCJQsWX12pafa+I1b2Um53P95tlvS1MEYV3hlm3TdJsqnXGLvq4QU1kXvUbfXDkMSSkZTTmoSqC2P5VxWRwziRoKSzstrlgf2AQ6LI1oHSXv2zeMc8rBPVX9SoelcdKygIwmRDDO3/jQLhxPknV8DlnSyUBEZyLnEQ+ZJEcn8X2feEhH1zVyno/iSw7ui6CqcVQUbt08jhUyURWYTNqzzyMl42mHxGSax0aSdIT02XYtJSPJLJ6UTOdc/rktEaiMM9u2DumPlJU9uvpgavdg1ZBASFG47okxxmqMuZ4fkKnHMzkeeSxwzoiaKmt6Ikxmc2Qdn6Ud+fWbAOlTtTdVgBClpZ5Fzp114vHzxgTPl3lqpiRqqrz/wmcxvOGx4j2xzi7uWr+NwwbijGds9szkMFRZ5SzQG6neO4gYKiE9iNCZc33GUg6WHkTb6A5pPH9NN56UdFganh84VtmeHzgcn3QUALWWVql3/CsGEL3vETIrD2LybR9g8m0fKFMtP7gnQs6T2J4komsI6s+vBEHkiJwrybkOhipY2mHRHTKCubgfONeEjUA1v8PSg7koMJaqPX5HDZXxtIOlzb3Gms655FzJWNou9iG6KlgUC9cts+15xT2reugJ6wxEzMDxSIHdyRxxU0VRoOszHyo+e7OIve5fENffFdgApCTpSIYTOWJmMBeYfnwjz/3sm+qmK4FoOslJF53OLb++kbhi8/C2F5dd4xizd95+Atx1nMq//MZj+XDtMqkCzjUDAnbv/bfzx0OfAwSq58csiuF4PjtmbMZTDrqi4PnBPGx4KoeuCrZNZVnVEyr2gzN4+flU4NRiGSqaqvDyk5eRyHr4EroEPGNJnJFkjuGpHNpkGkX6bBuZJmyZpG0XRUpwXPZM5VjSH+Xo55zB7vEZdkqdd3MDp936txZqfu9QaftKvuDF7HrrRwi7HlJVybgSRfhkvdl1kICigjgAH/gofPULLeWrH398myDcRhtttNFGG20ccGhmp+pU4IVCiHMBC4gLIX4J7BZCDOXVg4eAmmwIKeUPgR8CHH/88W0KTRttHOAQIiBEqgQKQL6ErohJzNIYnmgsxZGaw1gPweLKUAsbdaAqgZGhEVrpOCTBBtm+InwUEIlGMe55GF/OKpqoQhQVaCtDBAFkHUmoibJNZRyuemKMsRIjhwBidXbbfRl4wM8auWpdE5iKpQyUgUsxEDVZVjQIBgoH/RGTlJ0uM4jums7hRHz6w+Vh/VQhWN4ZKgsnNR8ksi69kVmv9HK0Nny4vmTLZIaDewLDpeP66EV1I1nz/WybCtr3o6PpsuNdIQ2zCWNWKzBVBYRs+M4OVHTHLc4/apA/3z+yv4tyQGD7dI6jF0VJ1SB/tbFftAv3K4aiJi9c18e9O6cZTjTe5IY8KaEvnDccCyK64JkHdbJ+LM3ITMmGSTLJaz9yYWBgbRGFO/7w/q+2fG8ppnMeVsTi/GNj/OWeHXPkeWC89SfDDvvf/3iQlx29qKlrFy0/mHXHnLDgZVAEnLq8s6ZCzlMRrTTzvW1pzl4o6TWDnCcJKZKIodYcJ1zPJ26qTJc4WnVaGr1mc/OOTYvW7FX5RvUIXU6KIIjqwnwzhXdy+3mvYYevY3k+O+Yg/SwkNAGruq05r9vbuZ0QAm0OouXsxXuV1bwhpSgqPx1YmF+ZVCGKxJmFRm/YCxrPAiOkK9RsJjWO+ZLZtWLFeR+KpD/jmGfgnHgS3H7b3AWIxQh/68cVBM/G9a81QRBuJp3qrVhQa5AX1RJidurYdTVTUjyP8PNPx1cUhq/4ZxNl2zuUVn+0hlr5RMYF5u+gUUAQPrm1dExNwdKUMgJWd1hHOeJYIg/e03Q6nm5UEXa7wzqbJtIMRE0Go1ZTJF0tr0paem3lbWrextAKpjIOnVYzTrrz7+NUAYcOxPF9EFJiqgIhRN6+I6rUbAu/C+HBZZ56jpS4cxm18milGg40PsF8nLIsTWG8jpPUsk6TRNZjcYeJpSpEDZUnxtILvorQBNiuj6oIavmj266HLPHLmMx/k5VE6ALJCyBt+6hK8D1OVpCTlAoH/lrPs3Uqx1jKZihmYle0nXgmyYs+8NJy5UEXDr/1Sg6/9UrSVoQ/f+tP9e2KTU7oXn7cUvwagge14HkOL3rGGn564yMsPfcUlJJw4FVZCUHk7kcQt28Lfo+NEU8kcKE43yy9r7R+HnjLB9lz9JlNlakU2666vUgSrixT4FRf7WhRC4oQnGSG6FYUfv3Ln/DyV7+h5nUFUY1KzKUEPdmgv18/mubx0er2f8xvvw801x/UqtPK+xqd21t0XHU5e97xPjpDs9uNmiKq6qXrkx8gfsfNtcshJV2/vgTnsp+y+w/XE7d6ANj5gU+y+KufnbN5Fxyjk696Q9nD9kV0zl3Txy/u3UlIVxhJB++i09LwfZ+04zORcVEEaIqCpgSqsRnHCxwIArlztidyHNwbZnFMx9JVooZKf8RkosRhMKzXXmN4vs9dWyaZzjqcc+RQmV067cx+UwWl/oN6wowmc8QtjSOHoqhCcHxniK0TGQ4/bS2PjaYI6Qo9IYMOS+PHVz3C6567Dl0V9MUNnn1IH7YneWjXDLeuH+WkQ/pIuz6+Dyu6LCYU2DSaoiM8+76GEzmGE3sYihmMJm0KJuuydlPVqCSRex6tO4crfTcSyNx0D36d+cVjY8mquYciArGVvojF/bsSZXVdwBED8apjzaz0Ku1Wb3r2MSTGd1ddNzM1ydqBGIZh8D93bqHT0knkXHojBtNZpzi3Ffl8LV3B0tUiAXk665bNfwvEWns29EDVXkjXWcc31Z1PH30oub/dScxUi06GHZbGQNREV1Qytk/IUPKDuMB2/Zr9l+17ZftQtieDyAP5z3coFmJpZxgpJbbns3M6Q1/EzIvbSLrDOpNpp1ijpfs7/hwTCNv3GE3ZRAy1LDrlso5QWXtQxGzdSSnZMV1/n1IAy7pCRDSt2P9vTwT7PbqqMJZyWPbPGxuWq1aaivSZzDh0hgJCty887tqeKT73hQ3IwaXHFeCUl5/B5z/WmJ7haQJPg8tervLGn3n015Cx1RF0ETgLerF40TFr57TNzunxYJ9XCHojBjumMxzSF847MShctylw1jJUhZXdFqoQmJrCcCLHlsks42mH8w/pIef79IQNhqdmiOoKE0mbiJCEBTy0aYK77t7C6sUdHHJQDxFFsCdpE0Jy0pp+MiJYG8ixFEP338KLf/f1oB6aHJv3FkUHpJ9cy+mrutFVgSIly4TIz98FAhdVCKazDuGoVuyvDDXYb+0Mawy8/U1sapEgvO5Pf9hHEYXaaKONNtpoo4025o85CcJSyo8CHwXIKwh/UEr5aiHEfwIXA1/M/3v5vitmG2208WSisPGhKwFJ2JOgqSqLuyx2TDYRr68BJJQZRTRFwV5gcoa68OJPdfIR2CVG+bA+u+LzJDUVgzOOj6ULck5t+lTO9bj8sT1Viry9Eb1uWPDA4Frb2CKlJO16bJksGEGq0/DyRqLSTTtL01jTG2VkJlumbjGW9zbusgIlYU/6ZD2fdKN4Ty1gLOXQHdZJO17R6BOg9dX0NU+MowjBqu4w2yezLO8NF58x5/os6bYYmcoWjV3Lu0Jsndq79j0XBMHG62TGeUqrzq4ejHKBGOLy+3bt76IcENjXDgltPHUghGBZR4hlHSFGkjlu2DxRDBkIQX99wtIYE2kXCQzFjKreTREwGDWKBOHoyHBDI3OjTYNCNzM2uJzk6sP34slK0hSC5x05yAPbpthVp888UPq3J6sYv71vJ686cSV2rv4YcuTJZ/KJ71224HkL4M3PWIK+D5Qv9xeeTPJMPWWhhUTGCUjAQlSTayRw2ooOFBGEcxcC0rZHImWXqWJWlrBAVJo59Ghy/2tiOfMj4PY5s05j9WqilToubKRc/dZPM3LUyfMq095CNCnR4ktJ2nFBSJAi/34CspfMh3CoM7sOnlNCKrf3BME2mofcl3S5p9jOXez7P2Xmv74Ml/y0/kXrjiBy6W+evEI1gwbdbT1iSembUXyfpeecyPBVty9suZ5C0BVRRewVwNh/fo9wEyqahX56+59vqnvN7mSOmZzLiq4wmiIaquUKBFFTLSM61yKkJbJ1FN7qtImCM/m+8uNZ0RUiZuhFZ/WM6+VVbksKNDLC0je8GKWEwOkLwRM/vBSWripLrzs8t5NWzFTrq/suEGxPoojac/Gc66OpYCgKju8Xx7nC3CTPfyPjeExlA6KEEAE5S4jAeaArrAVjJnlFcH/untmHsgVLMGMNlAkP7dc4YiBK1gnqfyLtkMgGBCNLU3H9QOExIPDOz5XJlUHEKlOrHaGgYA8SFGxjtZFzPXKuX0ZWmsl56KrAUAQRI3BIn866ZfaBWiXeNBE410/nAjvdii6LLZNZGBnhJZ+9uO59EghnU1z05rO57PvXzKrOl2KuhSHw5rOPaZocXEByegqA4StuhWSSJa94Pqprz74VVYXrbiOSV3pfdf3lnPzr785ZHAlsOPIZ3PKv/zFnGRq9/W1X3Q4b1rP0XRdXOdW2QkBypORY3eSLn/5/nH7BK2q0OlGTXKcrVEcMafFzr3X5kdf9sbVE8th9yNH0P3ZfzTz+2HMULxm/f8GcAymk4wUkSLtkPIiZKj0l/aP42heJ5MnBNf2n8u+qX9UYveAMnj01xo9veIT42ecxvnOYnv/5aU014cIxH2bnCCUXzOQ8pnMuhw1Ey8Qt0o5H2vHxfJ+N4xmSJe/wqMEYj42mURRBSFNQhGB1T4i4oRIxNXRF0BM2COkKpqvwrFVd7JjOsSRu0p0n3fqSYh+2YzxNxvHZPJrilsdHeda6gSIxOGZpxegDCHA9yetOW85ExqUzpBHSVJZ3hdEUyaKYzrKuEGsHozy6c4atE2nOPLiXVz9nLaYmMFSBpqiEVQVPwo5wjhNW96ALeHDnDEIRuJ4k50mOX9NPl6kwkvFYFDdZ0mER0oJ9ml0ztVX17xiepsPSWN4Z4ojBGF7+g4jc8yipM06A5EzVPRJw453s+M3VkHLojdQeM2s5JnWHjPKXXIHOkIamFJwBgLxTj6KAXvIbCtP9/G8hcX2FZZ0hfCk567AlZNPpWlkUYds2Lz1qETumMty3Y5qxlF1GhJVSouSdpiZKyLaBOrAb7COVdCCmKjA0Jb8HNPtFDr35omC937A0+WcCel90Foc99CCGquQfUrJ7KkvaCaJTZoqCPhJLU/AqSPuaAg/vSVGJiYzN4tgsfcDNl10VCt0hgwdGyqOLWZpC1FTxZTnhuZZISwGKAk/sSeUd8rwyR56NE2nipsbSzhCaEjhdFva/bN8j7XjoiqAjpOH6kkTGLTaTlT0RLHVWaEfiowhBb0Qv1kezdVyJgajBWMrGk8Gc5nlrupGA8s7G5OBSCGiOxZ6Ho8G1z1J45W+qJ8al+3n+CadwuBJi62S2SPhe0RViw3gGRRH0R3V2TOdYFDfYk7SLURAUEQjk/H3jJInsbD8Y0gSZfDsaSdqkHQ/X8Xhs5zQ3PpZFAkcvibPquevwhGDPTI5syiaiKcykHYTwSaQ9JqazvPI95yPy43PB6WIhUTmmlba6T7/tayzPuNyweYqjF0XxfImUkqmcj5QSx5NsGE/TFdI5fonkoM5AkTnr+CRyDn1xg7Ef/LClcvT9+EcHnLNfG2200UYbbbTRBjSnIFwPXwR+I4R4I7ANeNnCFKmNNto4UCAEQYhYLyC8GppCd0RnoqbCa+uwdLFPiHXiANCsFEDOqV2GrCMxVJHf7Cg/N5ZxqsjBAGes6KoyaisCDE0Un7eeWMXO6VnjZy01qGyZUsGs964qFBbFQvSEPYYTmaIRa9dMjtGUTW/EIKKr7Elmi8rJC4GJtENvxCDrzBoj5/M2JXDl42M8e1U36/qibB1L0x8zCJsaYTMY/pb2hEnnXHZP26zpCXPr1qkqg+RCLuYNTZkz/NVTAaqicPBQjHUjSR4dqTb+/l/DpokMB3VZB4hmahsHCgajJs9Y0sEV62clHkxNwVAEQ7HGimidlsaSDpPtiVzTChT12t+udcdz9bs+11rhG2AkGfTNi7pCdQnCB+LHsK+LdOntQXjed77gVHYPby4eP/eVb+H1H/70PsvX0hWUp7DZ2Zc+tucX5x5CzB1WPNgEDHZTVFEI5Vl6Ty1qbW1NLYHE0ZW6ZFwpYdtUsIFSXu5C2GC/4YZXAdM5r26UhFpz4UVdIY5d2182L6sFKSWPPvcijv7rJS0TeaG6X6m3odIq9hc5uBU4nmTzZONN4Kc8nrpdw5OO2rSxJw+5X/4U92v/SaqU1BQKof3iN5irVte8J/K+D8P7Pkzqrjvg3W8F2w4IWm9+B5E3vfVJKvnCIPXsU5u6rqDM1vfeNzH69R/v0zIdqGi0l77tqttZ+vyTiuS4Wn26zF83F9KOxyN7ZugJ6wxGQ3Wvk9QgxQG+L/HyuUoZbMLX6pTqfXlpx2Mm5xLW5zBbN6iPoZhFSFdQBJiaiiaUBkrH5QnVq0dFSpa/+ZVN12MpVEW0rBg9H5Q+V+r858Du3QHb+vwLiHz8s2gKOLW4obLgPOOxOzm341FPRC8jQNWCJ+HGzVN1z19wWD9J22VkJsd42mUs7aCIgMyyvNOcswyVaOQjNFf0ppilMZ2t/346rMDRuxJRQ2My4+yVbdPUFBZFDZ7bgBxcefwVbz+HS759Jat6yr/PsKYWO4qCynHlhzY1Wq2Q2Qze99Kz+Nrvr4NolO1/CZwMlnZaxI3yeXLq4x/mlCv+XPdZCsUZXbaGv/6/bzVfgLnIRKvXMvq3O8pU35eXKAs3AwUIC4HrOA0VfyuhqXnifQlyNTwcdFVw6vKOup55GddnKuMGhKWs0zKBrUiE/M6PeXAqyz8f3MnUjk2kchbHn3II0tARUnLLVb/n1N9+ryHZttVppLdsRc3jpTbQ5X/8TVNpCyE4zDAYlJI3nnEIf731IQbe937sd78X/+zT0ZLTVXEK0m99D7z6Yvryvx0PnrEkDiIg7j86GqjTDkQN+qOzzhEZx8f2ZBk5GII14JbJbNVrOrQvTF/Y5KAuE0VV8DyYzLrsnM6RzHn4UtZc8/XFTd757FXYEgaiOrbn0xPWGU87jKcCO/h4OrC1KAK6Qzq6GowbIgSPjEyzvDtMIufywK4ZHN+nK2RwysoebM+nL2oymnSIdhhk0jY5L3DgkJ7PRCLD3dsSAJy8rp8CX9QH+jssjlysEzICkrKqBJEBLK0T15fYXhCFz/Uljh/87fiSAqNZVQRengQdufEOALI//j7en36LEIKu176WB896MY4v6QrpeFIiSlqAlhen6QlrTKRdeiIB+bKALZNpOiyNmDE7H+gO63SHdKQM7NPlry54Y6YQOP7s78rzBcQMnS99+v8VycFxoTCYJ5bu8lxmajiOnHD4Gm5/6Ake3JmokleuZctIZN2gunyJKiBuaah5de2ZnMeG8Qw7pnOceVAnMUvDGN5alUYjaKkkOc9DVRRc1yXrBKrYulo+3msq7ElniegaWddDyUeBeHysmhwMgaNOzfwUwfqxZNXxrOvjSVnFey1sRWlq4DBm6SoqCpoqeGgkQU9YJ5lza+5rTedcHt4d7DvELY1FMQsFwXAisEXGLK34vemKoMPSUBSBWeFAP5zIMpN37o0YKotfdnbNZ2sGtleuwlxQSV/22P0tpSMkdE74THU3wRRWBJtXwEwUYtVVHzh8aTrXjfmknKC+BqKBA0OB7K8pgh1Jh3PWdpNxfPoiOks7grlW1vWZzLgc1h/l1nxfARC3dK7fNIkkELLIuJIMcOjSDpIbHA7qiTA+YzMykwuiZ+kKUyNTDMRM/FySm+5K42gh3veFVyGeBMXgynHhup5Duetdn2F8MstLFsWYyLpcv3GSIxfFWBQzkLjcsDlog8s6g/nU42NplsQsNEUwbTvsmM7yxF+vYd2XvwQ054jZ9+tfMXDKKQ3npW200UYbbbTRRhv7Cy0RhKWU1wPX5/8eB5698EVqo402DjRoCvheoNrUETZQBIwl957kmHPkbBjVBcJCp9cKKhehhipwPH/WOzy/KBQSXA9MTZB602vhgfvxpI+7YhU3feL7VekeNRRjKFYeKllVwPcDsrGmULY6lVLiSJ+k7eL7Qegku4E6SMbxGM/aSF9iagpRQyfneSSyDt1hA1URhHUV25s1jru+ZGQmV3ysDksjbbssVNVnau5YzQ9/3zhBzvM5aiDGnhkbNWWztDucN0oIwqZGZ9hnKh3U9d07yj3gU7aH7QWk7r2FqSlzhh18KmFpT+iAIQjPJ+TpQmF30uagrrnDmf9fxEgyx2TGaWqTs/aB+qqW9SDK/hYt72xVEeZEQa2zPqmhrIwlhc26Hmet7MwzD5vX6BECVndbHPnJd9QsUyMUsr/mqOfxlzNfzcmHDtSOgbqX6OsK84KeSM1zAtg+bbM4Xq2Q/GSilLDyZJXj23++5UnKKUDG8ZmxXTqtuZXrDkQ4vmTjRGskTVWIsk3DfYmwrnLPzhnu2Vn7/Moui5U9oaZIwoUoCXORaQC25iN2zLWBIoTgvvNezdF/vaRlFbA5N+aZ3eBoJd1UvLuFq/+PYCEl2tp4SmGu156bnsY9sw55KZPBfdkLcGNxIjfUJyJGjj8Bbr13/oV8MlGvQiYnWkom/NiDe18WYPBNF2Fs31rs73zDZPtlV0BeAROoW2ZBYHuQBIpqzn4Mn1Ca8/CVt8HwRpa+5VVlKpoSmPj455FnPZdoyZy0oDq2vCvM7mS149dkxsHSVDKOy9KOSBXxJWworOgKA4K04zJ12WU4jz7EDqFwx5qT2HXY8azsnh/ZM+N6xEytoYqwqSocORgvCOaRdj1msi4DMZOyIEcS3AYLRiFmzy0758S6pLzSY8vOObElkrAiRN5GVDuaVOPc5kibwGkMAaPbdsK5Z5Vf4AF/+C2pP/yWVEcHketuq0rD9QPl4GbIwZBf2syBuKkSN1WmazjBH9Qd4vKH97Cy2yJiqKTyjLW9+ZSUeRJPeiI60zXIvxA4ovlSMpNz51W2nrDOmSs7y45JGaz3PF/y+FiakRmbQ3/8FaB55UE1T0bdOJ4pO1f6e3mXxcoKO8W/v+2VLT9DAds3rq86FtXL1yDp++6BBuTgwnEJ9G17nMP+8ksePv/VzRWgUHGNLmkupbrwgSnpE21xPptx/Cr17lrtUcv3A/XTmVWYjnrzdyjofvHZjF16BcuXdtLVeRiDfRGyUmHndPB9J856EU+c9SIu/I+3EN25taze/LwTJbQ2fXV/9muoWKOVEkHNK//Ucprf6OnnovHdnHfK4TyyM4kiPJ743d8q8ih573mibWGtGDUC4t3GcYfVPRYRXeXxsTQnvPWlxFOzc4907wCPfulSsk6gEh7WFVZ0WbxgXS+3bJlCUQSDMZOhmI7t+njS59HRNONpB01VyDoeGycyrOyu7VCjKZD1JV0RnawrMVWFsB7UTk9YRwiB70s6LK2oODyWdugKaYGSvwxU3G/aPMnKHgsQ5Bwfx/CZSDu4vo/r+YymbcbSOXRVYed0Fl/CxtEk8ZjFaQdr5Fwf25+dAzj5fYCOkEHKdrE0FUHg5BOUOyCQ1oLv+9yfV5A9pC+KKmZJjp1vezu87e3BXMlUWTGdZTxt40tZdMSI5ZVmU7aHAMbT+fZeqQAO9IYNfCQrOi0kAlNT54yg1Ip4zM9/+G2O0A1eG4lxshnCyZdBF4J/5jL8PDXDQyUiJju2D2NpCqet6uX+HVMlKdXPT5Y82mTGpSeiM5Pz6AnrWLrKcCLH+vEM69xpumj+Oyk85dZTT6X37zfguMGejQAUoRDSgz2W7dOZqggUEIgT1NvLSTseXZYs9mWGGpDBM65b5ohRgKYIDFUhVcNxLOu6bNwT2H1MTXBwd4ytUym8fLeea8JmOZ11mc4mGYiaxb0Vv6S9OL5kLO2wpMMqs6N4vl8kB0PQ5npnyvd+mkHBNlKvqK06dHgqrBiG+5ocblQPNq8QHPlQ7QKsf8N7SJW8zN1Jm7ipcs5n3kJseFPZtRLY+YFPoj7zWUS/8AnCu3Yy9qb3YB5/Ess6TVQhUBTBeCqIFOBLSDs+SztNTDXY25JS8MCOaQZDGlseH+HgxR2sXNTPxnQWK2TQ2W2w6b9/xFdGbtqn5OBCbTimxbXfupxtu6dZtbwHV8IvLn+A4/N9mKYqnH9IP7+6fxf37phhd9ykw9LoCmmBo0aJnW4warC0w2R3MseDj+/hvM99CGjOhiaAqf/3UQZvvOGpFqSojTbaaKONNtr4P4K9URBuo402/o9ACDBUsL1g0RWz9AUhCEtYeLLkflx4+RVGLNuT7JjJ8ceH91Rd++p3nkvWnzWYKICx8XHOf92z8BH84rtXFc+t6LLQVIobXKoIvKKzeYOd60tChoL0Aw9m2/fZMF7b+7sWPAm782RfVRH4Mls0WiVtj6zrE9Fre41DIWSoS4elkci6C8KBCOlqmUFpb1W9bt4yRdrxOG4ojqmpbBtLM9hpYeoqyazLVN4QecRAlHt3TpcZ9XOeJO34GGr9OmgW7r6KkbqfYDVoF/+XkHZ8TE2paSBtQzZFnNuX+R8QEMX/NQ3bhxUbH24pCwncsfoEfnneu4rHe0I6u5ILT6YcnSuawIzNopixXw2iEyUb/QdIS9gnaKtS7DvM1X435Ym8K7tDDcNSF+A2SdafqENSaYSFJAfPJ80CfvfF/5nHXQuHFiJ1PmlolgpWfk8b1Xh61Uoul6tPDi7FzDSpU44lcus9+75QsG+ruUbaqd/9uqUkinSPZLKcyNsCFr3qPPTx2QgPhb5OtXMsv/DZ+EIERNs6WN4VwvUkcVNHEYK067B5IlP3+oVEraGmqq9euqpY/k5LY3E8CJMby5+2dIVsBRvE92s7pfgSdkxniRgqw4k0/TETU1WBIBqS7UoUCfY73oh2x230lNz7vL/9GV9RefSZL+Ce17wLVcmH/S7JJm5pLOuoTR4emcnRG56LWCzK1hqGotITVsvJwU2gQGIbeMsrmiJ4FM4vfvk57Pj1VU2NPQUHoYAMBpNpp6EPXzNjsCqCKEWSYE2auf9ueP0cZMtEgtSx64jc82jxUM7zmM467GnFAauJAqZsry4hpMCR3DRRTUyf7/phPt2XJmBJLASxcP6ZSlxApSwPQiEgmXOZzDqFK4DgndZNXxHMVHCuC883lfXYnbetrrn1Sjwp0Vp4+Is+eCG/+crv6p6v1V88eMdNTaffDFy/3FYm3xi0v2Yd0Y6/4hL63/VOpICooeL6kqzr531rgweQUuSdMkTxm5EyP7uSs2+sM6QzmVehLs3DlRK9yXpVgTvtHN+9vH499UT0ssZW+LNIEM63FV0RKKHyrTdVCYQk6gpalxQzmVeTnY+NVZueZM3rzmfFH67lRzdvJtYt6AyprC5RnFaE4P6vX1K0f0o5K2pw6L+/h96HW3E+EqiKoCesVzlRd4cDpdfoN7/Y0jMIIVihzX5b1175Z8547rk1cq6OJRMzVTRFQVXyZRMpXB8WPf8kltf4MKJju3nZG5+DrajsuOIWorrKhokUoykHKQTLuywGoga+H5DcpjIumyczpBw/7yQU2M3jZm0baUfemXcq4yAlzNgemhA1VaYB+OcNLPvMh6ve+xGqyu8//z8sWdrLr27fwWdefChpx0cSCIlMZVx6IzqTSZuQruJJycY9SR4bSbK0O8zRK7rYnu9zQlqgsB83NVw/sGkWVNI7Q61tGauKABkQoVVFlM0xCnslnZaO50sSmWDfoDR6YukbqXw7qiKwtObKo6sCXRFIEawJQ3phdJZIRD6iQfBLSvD8IL/XR2K8PhLHEAJVCMyS/uJ0M8SJhsX3kgn+Jz0r3fqpL/4n573yTTWjKDSD8ZRDhxUQE3VFcNbKLtKuR9dlfyi+9xHP5S/pFFs8BxXBOt3gvFCEWAU5WgBy925GjjuK0M13EdZ1XF/iSZ9NE2k0VdQkB4d0hakGyvmLo1aRHFw6d9QVlSMG4+yczpSRKmOmWld5vTRyj+NJdiczxagKqRpORI2QsoP7NEUwU6P8lW1oxnFRRTWxdz5TDRfBaMphUcxgMuPsnVOTBL2FaZevQK5iWlzIfmrtEdx2dLkq8sHr7+TUb3y8+LvyeRd/9bPw1c8CYAGxj787OA788rtXA7A0qhPRVFKuT0RX2D6VQwJLYwar+yIgYOdkhhWDMTbsnCZpmiztj2NqCqd//5O8Y6R5m/bewEbhss9cxqbNE/RETR58bBfCMlmztJPEeJK1Ax08sn2KuzaNM5G00TWFhKGyY7q2U9wd2xPEjC5+c+3jXH3jY5xPiw4zmzdDi/e00UYbbbTRRhttPFloE4TbaKONpiAE6HmSMEKwojfMRNJuGIKvGfhyYVV/96eKaM6VZeGbPN/nxs2TVddd/PbnNdx0UpC87u3P42df/j0iGqXT1FCFwEUS0gVZR5KtsCZnbB8BWLpgW6JOyPcmUIvId+/OJKcu7yCkqyiCmp7gqiK4e8cM42mH45bEWtrUqI3Kcuz9kvqeHTM8vDvFCUvirOuNsHMqW7U5GjU0jlkUr1IRXghYmkJ6P6lb7wt4vuSerVP7uxgHDNQ2Q68O2vUyXzhe66o9AM/YcAe/zP993jGLGGtCrfTpitI5wdO5Jd6xPcFZB/W0+6F9gJTt0WlpDTfONk1mmc55HLckhirym/415lPNqgebmsLiuIWuKqiKqFKGO1AhCVTX2qjGvJYn+3NR8xSDpggGosFuadzQSLse0zm3Zij4ehD7YZRwzz6t+YuzGXI//gHmm94KHBhUaU0JItUU4Po+8woCc+kv5pV/9PLfkHzVG1q+b8lLnoWaDpxpS9966d+KlCw750TcW+9DEYKecHkaIVVF1WefXREBQTCI4COJWXqRsFSvZQVqXAvzJp+U9iAD55VKB5bDuiyyzzwRsnnl+4rbFN/jsOv+xOATD/Dnj32vKlnXl3UJwhDUkSZm3YX3td+htW1zS9driby9p86LXtYZQhGCDlPn4T3T9EdNdCUIQT4UV9newHYzl9JawYm81Jbmz0UOLkHqpKOJ3HYfQEsO5q3AUJWapCQIIiuE9do2kvn2yKaqMBQzZ+cjssRJR4IsYRLmqadICYoisKsYm9WNTUrJdM5taj5XQCPycOlzzvgeHUoLDthSEko3juZUs4vxF3a2VpVaC/1a8fnHxxC9vWiKwPX9Et/a4IrCp+D6NFRrL85FSy5JnH0+ndf8uanyOFJyZSZFRkqiDRxQxkscZQtCCa0gZqrl5EgpS0jxs4WfcCRuZw/a1HhL6ReS0sfHWdob4UNnr2F4JsuV68vTqbXGWdUTYtNEhk3v+CIXv/15ZenVQqG0W393LZVM+AJhuvBvbC/HvPe95TXcvaW6LkTJdx2USebrd7aOVUVw2AWnUPjC6j2T7nssPeckMjfew7bRNPGQxlDMYCrjsnE8w9FDQbvYPJnhod3V/eYRA3FCmkKhb/HzRUvkbHbP2OiKCMjLqmCsjsP1khecjppXqy0tpwQUz+NlH7mI9csOw3/x/2MyZaPk52IDMZOhmMlwIsttw9PETI2pjMOju5JIYCSR4a6NPoMDcQZjBhceNghAynHYMlm+3hQEKq+uJ8tIld15BxffB9vziwRcTREICY4ftGdVCfr/QmKGoha9OA0t11AsJqSrDMaUoP6kRBGB+uyM7RLRNUKaWnd81BTRwO5eu/2NH72W10fihOooEqtCEBKCt0U7mPR9rsoGRNdf/eg7nHnh6+s+RzMomG8K/VpYU8iqJrbn8unEJHfbWSRQaCn/yGb41swU54YifCjehVFSDwLQcjlmXnI+o5f8gZCusqvkm6zsdyB4j70RvWZb7ArpqIpAVwW2J6uc0n0fBqMhlnSEeHBkmk5Lb+jkLIQojg++hNGScVTXFDJNCm6UPkdHSCvrjwsIa7NjqRBw2b0jnLKig7ipknP9vZpLDl95G1FVMJ52sDSFsBHklahDjG4EX0Cmtuh4TQgJilvdkrec8Cz2fPgz9Kdd9uTFIVY5u4vk4FpfS6P1iUawd/nnb13OnRunGU3a2Pn386LjFrG8J8KuyTT3bU8AcM6RgyhDFoO3/53s1E4uE0dz5o2/4cjteXLwPlQPLuBPX7+crbfdQ/eq1Wzck0LMpNiwfTtnHb2Y29fv5twlXdywfqzsnoztsXJxR80oFzlXcsfmSa6+Zzs/v+db8yqTYP4Ob2200UYbbbTRRhv7Em2CcBtttNE0FAG6Ehh8hBD0xExMXWF0Zu+UCXOu30Lgp8bYn3vpqkLZpqiqKEQMtcybei5yMMyqH1z84Zfyux9fS9QIwoBpqiTj1NemkYDjSvojJjO51sJ110PO9TltRQd/fWy8WLZD+yN0h3U6rODZVEXhjuEEKcfn1OUdC0AOroEFeq851+emLVPcuX2aM1d2sbIrXBX276jBGPfvmikj93i+zBvt5/9sztNMPXjXZIbtkwcOaWl/Gl2OGorWJM63AQcGheWpCUubnw6mAFb1RThsaQeoKgOxwGA9G8p2dqNclPy/FIoI/lMVgaWWl8PP36sKgVaQ/pKzIRMLaixSQsRU0fKX6IqSJ7DWcgApKLmAJ2VRSaSN5vDYaJqDusKs6g7PffFeIyBGlPa5hXfnej6O7+N4s8rhQgSkC00R3L8riSoUJBJVwLr+CNlWJf7qoOej7yb08H0gIHXcyUx+8ksLki7AKcs7uGJ94435sbTD1Y8HYWoP6rI4pC9cpSpfmFdUhh8uRaDc5LJrJseORA4fWNZpYqgqG8fTdXvUUqWu/QXBgane+1SFXLDV0dMH9WrDUBU6LQMpJZ6UWJqCrurM5NyaZP0nEw1zTyYbna2C+92vFwnCzcLUynsFz5csVMALTS138g3pyvzWO60Q4hqgK6QxZ0Dpy36Omk41HR7WeO7piL/fyvZ0OYmzO2RQWmpfwnjaIayraBpNkwdbVeiDefQKMlB9K0AwP2JyPSX01DlnFcnBtVBUWN2+iZf/+j+Z+vgX8iGag7mfKgR2g3bzyJ5yAuRRQ/GW1YGbggBGRsrK3MwtEhDX/w3Oq1a1XBy3iBkBOdT1Jev6YmXjv6aKugThZpy+XC9QSyw4Fabe8MomS56HHRCH5D40orklZNRjh2J0hjT+uS1BxvWZyroYqmB1T4gtk5myvqnSRtMsLE0lrLf+XamVDMO6kPOK8lAPpY855futEYTnwLNXd5FzfLrDOjnXL9orVE3HdeZnw1225tCqY6VvKn3f/JTue772GcY/9y0UIcjVldadn80n8YFP0PG3v8ypIuxJybTv8+PUNB/62s9az2gv4Ei4ZXNAtFpd4ZEyfOlfOOi8k+cdqW3khGM46L4HGM9Wt9tCdRzWH2FX0ibreMX+BODn3726SBKmIv/St7T1R5fVVfQ/rD9evDfJ3s1sPc8lkbMJl4xpkmBtVVCCRQb7FboiAnJuXjH2+e+7qKk8BMFmqXfRCxHf+zXHLorzzVuHg5NZm3+MpwgZKmnHI2rppEX56sfSlLzdWATr4Pzxyfy8wPElU1kXQaDcO50rt3sseeEZqI7dkNAngbXbHubVf/0WPPcbAAzFTTpNg7Ttcuf2GRxP4vqSld0hBo9bjGN77J7K0BUx6OkK4fmSazeOETVVukN6vn1JZN6LIpnzZkmrupLfk1Cq5jeFfiVm6vSEDcKqgi8hlXPrCsH0hg12TNefN4Q0tUyVPOW4bJwo7HHYxWed7zhRVv4NGzCFaMrWH1IU3hfr5JpsGh9wnGrlUdnEV2ppChFTLdrnKvHJf17H5vHdTPk+lVaxbP4LujKTYpPr8P3u/qp+zRreyljOrSL/51wfUxPETK1ICM55PrmUz1DMRFUEYV0L5reiMJ8O2rGpCdJ2cH+hjy6QyLOuZFlnqIpkXgpB/blGPYJyPRiqQndYCfqUXLXdUABanuwtBFzx2Cg+cPOWoI89uCdEZ0jDVxSUgkNKEyg4oKhidh6ddf2izSekqy3bZDQPNq5s8mLA0cGTKp6u4hs6D575Ija86GI6LI1de9JYmmBld4hOS+OIF83t4FELpde/4F0XMP6dqxjshw5dsGM8TSJlo/dH6QjpHLO0g5O/+iHWfWN9WRonM9vXD7sOS9V9R0GRgOjrY0VfBA5byb0bxkg7KoYI9uEyWYflqwe5f8c0Ry6Os2Mqy3g+WsbW8TQSyfKhjpqOBROu5AOvOp6+G+a3x9omB7fRRhtttNFGGwcq2gThNtpooyWoSmB8s71gEVbwlN0b+DIwkFQSKeYD2/UJ6XmFGSnqGh9bXqOJkmW+lCQdl9GUgyICY4kgMCjbnk9YU+kMGQA8a2U394/McO/OGRgZaSpcZWn5Vtz2N7TjXoeuCXZOZ+mydISoT7/wJFiaxqrucIkBbe+Qtj3OWdPNtU9M4Ep4eE99dZmRpN1QAWi+kAu8qM66gbrzXTumsTSFo4fiLO+wEEIQ1lWOXxLntm2J4vUPjCQ5cWmckDa3kk89eDIwDj9daMLZNiG2jTb2GaSUbJzIsGo+9yJ48fGLgcB43RnWmc64ZWpLPRG9ptJGJZpVPK2HTL6fEALW9oZQG4xfpVgSqz7W8qaogMPzG5KF3xDMY5CCqazN1qkDx8lhb3Hl42O8+ughOq36KmULgRnbZTjRfL1Zmso/t0yRqthwhoDYLIFz1nQ3VBFqhKXnnoLil49H8VuvJ37OiXiGwfb/bT6Mcq2wkwBZx2Nph8lwonb4wUpsnsxiaQqDMaPsuOdLeiM6iYxDX8TIzxtlQO5xfXRNIZl1CesKq3tCHDYQQSAYS9vctX2GVT0htk5mayqnbeka4qDJXU0/677EhR95Bb/70q/2XwGeNhsxbXJwJeq9Wtf3yXoeyZzL7mRz32nTie8t6qSb+fTHa59oFk02j1KilSAgirpzqEeKvJNQZdFLs2x2TdsUXv8G+ORHW74teUE52WcoGppznZb6wTdazGSmxA4wiz2pHINRC7WgbJu/JN2ihLLIh2QP/q54rbKcklsgkhTeTeH6OZuCoCxizkJCf/wRmJxo6loBhG64lj0f/iyUEH80be9aUkB694ub8LOpzf6liEBVsHC0aFuQs05OChD/9U/mVYa+312Cf+55VccrbWWF4TtqqkTMQAHxiKE4D+6qjl6kNmlzUIXAKbSC++5treBA6oLnEvrT1cQtrWF0MFXAmt4YiZzNzjrhmGtBAof0hnlsLM3JyztRhEBRBNduCNqN7Uk2jGc4bCDCwzXUOJ8MCCFJ5IL1jkAgkKhCqepPpJQkbLdm1K1GaHS5mXfE/Mt//CtrXZflWvPz+JyUZeqRBSztMIsOzLoqimu57nAQcv5DX/w2X/jAW1p6hgJ+9pcbahwN1EIB1DtuqyK0NQN9bCyfUu3K0hVBPKQxNce6tB5hcNtVt7P0uc/AJbDHVdZbyveZkT7vntjDKz/0cd74igvJuh6u9BlL2SRzXt2+1tIU9IhO2vZIOwGBDhk4BdRaV9RCaWm2TWWImSq9loaXznH1g7t55dBS4ruG50cSTqUYS9pFQpQgcCzQlIAUeeRAlGet6uaJiRQP7U6xdXKWuBkxVK677AaOvP86er706bJkJZA96RTSn/8m0ZI+dbYvFkHfqwb9rO8Di5bAzu1NF11KSa6CVGh7krTj552SAhJsqaNE4b6q9dLYaPP5AvGR7ZywOM4N+aiAmiLYnbRZ0mUx2GHxu7t30hnWOWxxnLCpEQsbjGUcNEVUffOaGpS7Mo+U7dIT1pnOuTiexBjdg2rnmnJiksCJG+5gvRT06CrJnMdMLsOG8QyL4gYiT/DcMpHBlRARknuHE5y6ppdNE+Vr+b6IzmiJbcjSBCcv6yj+djwfT4LXYL0+lbFZOxArEjPTtldTwUVKn6kaZPWy56uogJCm0BPWi+IrHWZz/aSpCTx/Nj1NEUhJ+d7Ty1/Yko3fFIKTTYtbclmecdbzq8ve5AS91BbXGzGYydeJBO68+e9zuonmgPWOzXdmpnhvvKvsnASsH3+L5BvfVXbc9iRxS2WywhlfEPSdcUOvqouQruD5svh9FdYVhUigOVeiKaIhORigq45dUUBLkUmbsWNKYP3YDF0hnYd2p9hYUbYn8tGZ7vz4T3ndZy9uOm+A4a/8AKhtMxICNq45htWPNz8XCxSEW+jVheDhf/0riQ4TkFiayoAP0/k5TNaVbJrIsNry9nqtVrj3ed/6CPbXf8jmsTSWrtFlqWwdTTKdcXndB19YdIKolZeUkp8lp/lER/delKQ+CuugB398Obt3J+lfvoiLVi/m//337Zxx+CL6eqJEOkPsSQTj3wP5aKGD8WDfcmQ6x7bxDLGQTiwWqho3fAlmyMBTdTS39dnN08Ys1UYbbbTRRhttPO3QJgi30UYbLaOwMeXJ+ZMlK5Fz/brEjFYggaxTMCvvi431IE0VBUsTTOUcds/kGIyajKXtvHIVHDWk43qSqKGxJG7y4EiSV/7761vO7fgffwnjvW8g53gNQ+lVwtI0Dh+I89Du6s2mZqAJWNMXI5F12DGdJef6nLWqi3t3JuuGqxfA4pjBaMqhN6Lv1UK4kkS0L5B2/KKH8PbEKC87fKAYnvjw/ij37JguM+LePjzNmQd11EyrWRgLRIQ/ELBpbP9s4B2I0JpQeGqjjVaxtjc0L1XQyX95XfFvT85uPoR1tUhcmUo7xYgATwZWdIabJgdD/dG7pZGh8uKS3/ePJHg64qonxjh1WSdLO1qIU7gPYWkK126cqDumS4INyPl2ocvPORGosxkBqLbNsnNOZNtVt9dNQ1UEndbskjjleER0FceTRUUnCRwxGGV7Itd0G3x0NM3KnlCwOVpI2/aKKkuelNVKORWhDQuk6aihcu7aHp4Yz3Di0hgjSYed07kylRM1FILJJgu3jxGZqSiIrEF824c4EEfkA7FMTyfYnmTj+F7OS/dVA62Trn/PHfsow/owNVFXza0SzSw7K9OaLwk1cv6LSLVAEC4WrUKtMP2Xy+FTNdI5+hgiP7lsXmUDkF/+HLzp/WXHElmXRHZWAbo3Mj/nHCllS2RDKSmGVZYEpM2Iqe03f4K+L3+65Xs6f/59pt7wjuLv1tVry0cUx/NZP9ZYjfuw/ticytkSgWyBnFl2r6rUJJJvGEtx5GBHlZK5pgosXcX1JVE9ID4V2oEnJZ4PzQYSKSgCNlJdbYjhYRQhWBKzSIf8YgQTmWe+SwKlPE1RUITAUBVCehD6XTQxuhmqwra8SvIfHt7NVLZaVfL0FZ0cPhBj00QGx/PxfeY9N6xHMK17vZQ8PpassrUd2lfDWxGYqaFWOBemGigO+67LgxvH2HbfLVxhGBxlmETqhLmvhBCCHYefUPx9xkGdqEJgaaJmdCPb9UnaHsc++/yWnwEg1tlVFh2tgPG0M/tVnngGy7//rZbnPd4RR9AT1uuq7emq0pRzayMMX3MnQ296Gamtm4goCnqeyrfZdbg8neIG3+Gv63cSjkTwJRiqioHKkriKqgge2TNTDBeu5MmXiGAsnM65qKJ8va0IGIgaZPKdT+mj+RXtTRXQaWmoSqCobmkK2ZzLeDKHrirc+5VfcPqrzppXpA4J/G3jePHb7gxpHD0UjJ+P7EmzfixNR0gjZmpV/fHhgxHCmkLqrOeTqiBDCoIoMV5FW+uwNBIlhL+pXdMc2h9FFQqXfeqn/Mtbz26p/D9M1l63D0RNTFVl40T1/K+qF7j91pbyLLyrS39zE97AENKDs49aRP+Rg9z0xBh7kjmecVAXricRCKZdyUQih6EK/vDwCDFTJ2KoHLsohqYKxlK1+w1PBt+PoQp6wjrhi1/UsoK9/rUvkvzg/0OIgJj8aImgh64KekMad2wYI5Hvh0KGStYpr6FKR93u8OxYKGjOZjTUYRXJwVJKDFUgVEFekLj4TnxfENKVouqzn4/+4fqyyCeuHFsUoRAzZwnCmyZSrOqOYOkqgoCMX7A3lH1nsjxqhuMF+r4FAWpP0nIYyoiicJoREIT/9RNfrjrfjIJw2FDL9gXGUrOK7m875/h8OnMjB/whk+JfYx1YFba2rt9fVkUQBtCEglfhXB2zNOI1SNdB3frU8n3LOH7eDi55eHdj25oAfnfpT7ntH9dw+HEn88LXva14rrtJ4QIIHBYmmxQvkBI2TGR4bLSBcM7gYNP21gIRNXrsccWoaNM5DykDm9fulMPdO2aYfu8XWfX25pR7JSB8WpKZVZVldJoqWcfD0FQ25MnOhWgMEDgrHvuWFzad5lwYeux+/pnI8pd7dhAxNVI5F9uTfO2bF6NQ/zmD8VLwbx3deEi0BbaIFN7JjZf8A2cqQ87zEb5KNic5/1lrSeY8Du6JEIoYqLtn2LB7dq0wMp1jIG4SNlTStsf28Qyn98fYVaMtbpnM0v+m93Podz7XchnbCsJttNFGG2200caBijZBuI022tgrLNRiRxKQJ5vdtGwES1+YdBpBCIEmBJ2mxu6ZHH1Rk56wie15PDGeIud6RTLU8s4wrznGQMrmQxfBrDKQ60kMTWEoatGK/UrKIATntql0lYd4I6zoChHRA+NQp2XQaelsmUyTcb2GmxsSuHXbNK4v6QnrHDkYaTrPUtRUrKzz0J2WRldYZ/PE3qtAlm4KWZrKCUs7uHnLVMN7DFVUKUE0wtOJR7p2MMoD2+dHQH86QQCDMaOMBNZGKZ5Gjf5JRMH5ZvrM59Fx/dVN3VPoiZIX/2vxmCIgnic/lo6LnSG95gbvQkNXBCu7w2gLGC53vlCV/EZ6YmHU9Q9EjKUc/rp+jNcduwhL2/91Lpnb4SfrSoanci2Tq5Y1IAdXHq8kCVuagpSSmKUxk3WrvoUCya0zpDGVnz9lHI/TDupkRyJXpbpUD41Ukb0WNiN1VZB0PFI5j7ShsqTDZEcii64EoSw7QzqEwnMn9CRiIP8+JQHpem1feJYsIEQ5waFEDbNwoNb6QpRcW5gPF64rrU79QJxszWPBtJ/4fm08WdD3rdp7ASG9kk40d8uab9sz9oak2NMH482r+6WOOLbsd2FMqIn77iV17Dr45g/mV7Yr/1JFED5Q4MlAea07VL89dYeNuucqUdlTWbpSbBC1hnO9BSXIAsK33lBGEIaAYF2avILALxyp6Osn0llMTaXTCp4r18Ra/LHRGdb1x/Kh0+tj5qWvofvPv2v6WQoYfcXr6a1xXEJN4vBU2mUqHYyJpiYYjFY7dmmKqCIW14KlCzLO3o8YQihE9ID860tZ91uO6Doru4L25vgeoyXEplpwfVl0aNo1U33tuv4I6/qiRE2VNx63pOVyB6G+599vZb3ajvjbHngA43e/wot14L3q9XT1dQWKqPnzPWGdnrCBpgg2T6bJOD4RQy1GGPNleaGSdWwFQgjs/Hzx79kMH4nXvKwKnpTcmcvyiTv/wU9XfRtdFOxZkmydd1d69CVvfA9/+O9vNJcZoBkGl9386NzO7kPLinm1MvMZfefHoMHatHVHgtrIXvpHpjMu0wAjIxCNokWjvL8rxCd1vahEqypgez6GqqCisGsmM+s4I4v/A8BQC+T+chV5XwbOJLXqLGaWr9N6IwbHLBLFZxVCcN+WSYYnsxy2KMbmhM0z9+K5H92TYkWXBZSvT1RFkPN8btoyVUf9sX6akqCfqnRyqXXLzVunuH9XQM5yFRXN9+Ymz0mJD1ySniV1HXvas4t/T6QdDu41iBoquqaUlDVQNO2NGMXS6F/51By51cZJP/sC//WCf+ORbZPsHknwH699Bmcf1k/Okfzhkd1M5zwyJQ9te5Lt0zZg02FqxMzmKN22JxlPO0T91m2KB/39T2z7UOAcFTYUekIa4/n1a0RXeWz7FI4rsfP9gqmrqJ7Hmt4wrudzwtJOlDzZ8fJHg3lYhzm7XawI6AoZpB2XtONjqAJNUYptfShuognBZMphWEkXycX19mRUBSbTTl1xmNilPyFzSTBfUwAUFX71J9yly4oqwqamkvU8hC2KSsmGGkRkEILiOGZ7EksP1v2FMU0yS3i25hnBIKYoqHXm8c0oCDfKdWxkZ0tlEcD12QznhCr2X+rMHyqXpIKAbF9LfT1YbwtUUU8NXfLQ7um673L35s2866WnI0sil9x707Vc8vV/B+Crl/wJjjih9s0VMLUgAkqzPnVCCO7b2dh5DODn372ai/OEXqgdPaVgp0jdeA+qL/NK1IKIEfSR9+9KlkWa+vmXf8/rPvzSuuNg6VDyi+9ezTNMnzs3vmDOsqpKjEWLvsdkIlC8nVFmo1wVojGs6gmxc9rGysz97M2gUP7Hx7M8/+hF+EIEc7qpKbQm9zhVESh3F8a2vUVp/V3139eydUeCkWkbx/M5+eBeRmyf0w7p57GxDJ2myu6Uw1BflEVdIW58LOjjwobC8r4Ii7rDZL3Acb8WObiA8TOeB9/5XGtzG0V5Wu0BttFGG2200UYbTy+0CcJttNHGvCCKEhGC7ojOxF6qOUBAyNgr9ZM8Mo6PIppTPtpbaIrK4rjFzkQGS1cZSwVGAVURZZbRiK4xX12rgFwTqAG0Wj+uB0s7wuhKlj1zbN4UEDd1vDJbnmBVT4RdM1nOO6SP6zZNMJ2rbbgsbGJNZhwKphS1YkFcuoFT+Z50VZDIh2UrtUZ3RixW9zikbBdJoJw0FDPZPJEm7Xj0Rw32JGef76Aui2zOYdKWZF2f6MgwL/nsm6oUN3zgDx/+DskVq7ny8THOXdPL4nhgOD+0N8Kd26fLDOilxozBmMl01sX2Wg0lG+CpTvzoaLARvT+wQHtGLWOgTQ6eA0/1lr5/MfX/Pks8TxBuZFss1HLq0COLx7pCGhKKBEfIqxM9SeRgVQhW90Trhnp9spFzfcbTuboq+E8HmKrC6t5Qy6GP9xWaVVd/cHeK56/pbl5h/+brmw6ZWLhm+KGN9B68nAe3J8jYPp7v86zDBhre63oSSwsU84anczy4K4kEFsdNElm3LtmjgEf2pDhmKFYVcr43orfkuKUIwY2bJpHAjpnysN5OzmM657H+5Jfwto0PNZ3mvsYV9+wAoDOss25FNyM1SEH7CiFdYVmn+aTl1xRaZcoU7mnjaQvtFa/C/cK/7/N89rXTbCk8P9jAb4R6n0HkbzcGJN45IAFfCMb+83vFY8vOObG5z+vdb23mqmr4c9ehlFSFOG8KCzVFapBO1NAq1vatJZtpMDYL2XrCwikfDwSiSlE/Yqg1FVB7IwbDiRyru8PM5AKS0GgyV3VdJRbFQ3OSgwEYHASa77ILbzt8xlk1zx8xGMdtMFVQFfbK9qUWPGcWcMDIuc0TcJpZf2+ZzDY87/kSIcBx/Xk/yXyf3pM+26bKnb6GXvdSjJEK4vuvfh44PB1zIlNf+CYQ2PsK7WRFZ4jJrMvITK5KPbUAhcD2VA9G5xD2xHY+nRjncx09WA1UhH0pSUnJf85MkvQ8XnbUEO/90vc59XmNFQP9khf2L+/6CLt3buOWK//Y8B6Ao097Nv/27Uuanqd7oQhqpjnrpwRkE2vF5t9x4yuFEGiKCBxoVy4N7pABuRAC26umwv27mneEb5SjpdeOIBbWVQxVwfUlyZyL5/sIQVF8QEpJX2eIJV0hDl8UZ3l/dF7DRUFhcUmHWVQQLv2+S5dqtZ5jrjxrn69OKaKrrO4JoiP983+u47SXn5G/tDZhTMpAC/zFu3eUHf/oty9BiEClOCAMQszU2JPMlTmLFIikBSzKZOY1FY8nE4xNZ9FVhfOOX8p0ziWRdVnaEebs1T3cuGWS0Tp7ITFLpT9q4PmBOm5B5dbx/X1iuzQ1BYWA8F0sg6nx4uNnHS80RRDWVaZzLn1hnYFoiJAusH1J2PA4/5A+xtI5OkMaufz80ZMwlrZZ2R0mZgaREiEYv1QhivbyyazN/TsDJVlFQH/ERFMVuiy9rM15PhzSF+PhPTNl5Y9e+hN6LqnhyOV7cNEL0IDYjXcS6rBI2R4hVSu2HUn+2/EkoQrBmKzjoyqg5zn5ihAoikDM07HEl5KQENy+cU9woHRuISSmqjIQtWaPFTIpuUwRgsGYReqxR+CVLwM5q32/VNUY9pq3E6SlZJtb43pVyZPkywuhiGAuVdyLkYEyfoc5e6WuCEK6VnJvueVFyiDS0njGCRyVS6AIQczU+NVPfsB/fvojDcv+gde8iBdc+Eo+81/fnfM5hZJ3Dib4t9G7c33JyIzNycvjlOpRl/p2qPktO09KNvz1n6x8yZmoudrRolzNYNcVN0PWRRD0P66UPD6awZMSU1NY0xsmZqoIAVLGuOW/r+DkN55bV/XdQ+HO393Aai8gHJ911D+46cEX4/q11Zh74y/joIE34UlJyleYSdv0doTI5lz6LQVNVXA8yUwqR5+lki/InPXaLFZ2WwghyGRdFN/nvA9d1NL9CxV9tjCm7TjsOO5+1+eYnEpz+IpuDnE8UjmXqx4c4YLjFiOBZZ0mG8eCOV7a8VneGeJVpy4j48JwIosnYXi6ORvVRNohseJgOrY80XRZV95xW5sg3EYbbbTRRhttHLBoE4TbaKONeUEV4BEszDryqjR7SxIuLPQWAooQZQbwfYkOUyfteOyYDjY/wrqKroiaYZjmY5RURakxv/VtE8+HoVgI2/OZqrFZUQkhqvPwfOiPBEau1x6zmLTj8T8P7OLFhw3QY9Unii7UG5jI2GybyhA3NVzHZUnUYO1AlA3jaTxPEjFmFThWdocYTdlc/8AuBPDFb76esAyeu7LuFeDCL78Dn8Bze1cyVyQIG5rKiUs7uHHz5Ozz5A3YB/dGCOsaIzONQ2mVwlADT+sjB+P4Pkgh2Z7I4PlyTpLRgQhNVYINjyeReNAI+4uDODJjc+RgpHVCQBttNIltv/s7yy6cVcuppWoB4PQNMPZfP0JXAgJ/JdkCgjDUrZCDpZRVG2xN30sQLvJAIAhrimDLZIZUrYH5aYQTlsU5uCcEUpJ2nXw4z3q6JSJQuKl0qCpMVEqPidmtFa8JolQB26bmJu0A9IX1luZskY+1ruR40odezfve/fPi77ilcdjiDAOd5ap9IV1hKuuRsj10VWHnTI6HRspJDjumc/SENfqioYYRDHZO23SHsizvzG8S5udzyZzXNIk7pCtMZtw551N32j28jfnNM+uhxn5mU3ho6eHFv8Om2lKkhQXB/vIYWmA8PZ5iYbFP6+RJHqrMl72ydYJwqFpldJ9gnhVdIMA0QrWi8Swi9zxK6rhDi99wreHIV1WG/zobKrzrsx9p2mFk3jjymDkvGU879EZqz70a4gD70FstjtT0KsLvXMhGyiVSZY1cc65P1FCr1siFucKGiSAaRFhXacCjnBdShx5J5JEHmr7eHliE40s8X9IXCeYztisxdIXhRHqWyCLzc2M/CNkNAQlHUxV0JSAsKYiiAq0QgU2rVD1f5BX2o6aGJgJC+l47AbzpbXNfUwe1VF1VEUQGKyCZ8+iL6CDBR1aFju+wNKTvF2al6KrAdhurzJX2C0Lkybfz+JZszy/rs0qdDWrlHr33dsLnnsLwFbfieD5bJ9PETA1FEYzmndUTWbcsAkUBnbWiZAGmrnDWof2c9dNr+OIFh3JjLstnpif4VEc3SKqIwinfJyslb5vYw84SR/Wvf+RfWbnqUIZWry4eC+lqsIbLV5jtySIRFuC9X/gOb//Ip3j9OSdjZ6vns2ufdSHPfudnefaqzjnrVxGzKuPbL/0Ly19yVtNz0m0/+J+G6eqKQFcFTZgy55wCSpkXNfjAO4neOTuWOJ3dGP+4JX9RayNKZZ69ER0pg/5KVZSaFtyU45EsEV1IZD22TOWq1hVHHNTF4t4wi+LNK8FXYuvzL8TSFDRFsLI7hCDvmCCCaCm6IsqNaQUWHjCHz0/T63xTEyztMANivS/ZdtXtLLngDNRstmY/MuZ7XDS6i1INzDPOzxPSpCCRdQjrKvcnA3tsQH6uTue+227gmt9ewgXdPTx3z0hTZS3FVYefxYqDellr6jzziMW4MlCV9qSPpkJfxCiuGVO2SykXPKSr9IWtsvQK5HNB0NdpisgTVpuvy1qwNIVrN05W2STDRvkLdP1AHRsg5fhMZm1cqSKEYDQVODikbIWYoRYJwgXoilIkB0OwR6Drwf6B63vsLnHW8SWM5H93mOX7BZoS2CeOHIwjhGBPMsfMv32EnuuvAuboM854BtoNdzAUjdYdI2oJxnh+sH+lKgUBlpKTlgXZxo4spfCAU+JdhLUGghkVTbEyIoAvIfWMI6CkDy88Ta+iMNyCyapefQ1//AvQQCQmbqplwi8jFU7IhipY1xcvKfds+adzDsOJ6jGjJ6Lj+pLp8fE5ycEF/Pl3l/HMZz+Xcy+4sKnrQzWiJghgxnEwFAVNUdAUiaZILLV2ByaYHbN6IwbTWZftl9+IROJ84mMse/CfCCkZPuRYbnrrpwBQNk4W29SZKzu5YdNUsUZW9YQYjBmo+ZAXlqbw6B6d3/zwGhbFLQ754Bvo2r4BgcL48adz1Rs+Fty7ZzaymZSSpPNtprMuxy/1Gc9eiW4sIRY9m7gmuO7h3Tyya1Zd+sglca55cLZPW9JpsX1qth0PLTuKY7fc21SdNoNNE0Ha/ZbK3x4c4YUtCuU0C1mxBiz9zgtfbvjuh9m1fpTr7tzOYNxk7VKBYup0RE2OP6iLy+/ewXnHLWEkabO4w2QsabOqN8xgVOcfG6fQBKzuCfP4WGuR5f7xie/xgredh2YH30p9KytEX/ACuhYNzqMG2mijjTbaaKONNp4ctAnCbbTRxrwgBBgq2F6wAIpZ2oKoCC+Ud2WtjaZ9BSEEQ1GLwahVXCBqioLj+fj5kDs51yfbP4jZqlHSMDB0hYwdGOd86efDYInmlfYIDIFLO8KoSqYh0Wtdf7TM6FcPYV3lzccv2atwjq2gYEAdSzv4GRsn5/KW0w7C0AT3bJ9m53SWg3tC6Kpg40SWLkujO6Lzoa8E5OB6zapwXAEufvvzuPT71zAUNYsk4TXd4SJB+NQVHZia4JC++LxUmOKWzkDEmr1XCpbEg5DgY+lcmUH1qYCIpbGsK8Tje+arjb2wWCiP9PnAUBWcfWQge+pj/5ND9yV++uVPc8VlPyw7ZobCfP9v9xGNRhcmk2iUbVfdzqJXnIs+NV7V50pg9G3vJ3PBywEwVLUuQaVZRdcChBCkbA9DFS2T/HwZECD0hWZuzAOuL4mZ2gFHEBYCesPVm0tSymJo0FYgpWxIWF0I6IqoIu10f+UzxK69ouraRYOLWPKDy7hiR/3x7ZDeMAd1Wy3NaeZDBtMqVA6nsy5/uW+E15y6DCMvKaQpghs3T5HMz7mWdJhsT9Qu+3jaZTrrsronxLapbM3vw9IEkxmXh3aPl5X93EN6isrElerCZffrClesn2juAYVgU+9BrBzb3Nz1zSTJ7EZMK0qKP3zJ7IZgVwuh7RcKBxjfLsB+GgqfjGwXVrtyP2J/PMQRR8KDzRMRtZ9cug8LM4v9OXOL3P0IqWQSzjoJPK/4WjzDZPtlV0DF3Cp26/X7vEziW9+HJsbWtD2PBeJCe3S0em4OzFW8zMlnELrx2pYew3n7e+a8xvWDsOCVBOGZCoZg2vGImSpzYTrn0GHqc1RFcHbsv35E6PknocjaLlalV0tg18//CJ4siwzQE9YZb8I2ZntyNtZ5C1jbG8WrMb+2PvkZsp/9VEtpRd7+bmA2PLvr+yh5G4/0KTaCSg6fhCJxufibwEmxlAi7rj9c/DtmqszUiET1xES6zCGxJ6zTHzFRRPkzqkpgt3H8oLw+EtebLXthQJLMKpAWyud4sorkGtY1oqZKMucVycFz2o18jyUvOouRy6/DlVTZ1gSg1EilnmOYpqlMV1TJtdkMd9u7uCAU4aJwlC5FxQO2uQ6XpGb4ezZNLdrXuy88g9/eN0sgmsl53D48q4QbN1WOWxwru2fR4sVcetvG4m/bl9yypdwJXlMEel7t1vNnLa1SBnXaG9bLI7SEw8z88FJib3nVnM5mIx/5d1h2UM1zhipwfEnOk/gN9ZcD6IqgP2qxpCOElDCVdaoUoq23vJLl6x8rOyYApiYCFXtdp+OuB+fMqx5UJQilPp52iBgqK2IW3SGDx8cqwr3XaA61lulCKNywOcFzVqsUdGCb7W8LWVx3/psQ4xlWdFlFRe+N+TFtIGqwO1mfRNgfMTAadLHZGhLp9UjalqZw/NJO7tg2ie1Jtl9+I4cPxLnq9GcQHhtDF4LNnsO/T09W3XvS2S/kXf/x9fxzybJ/obxOkskkrzjuULwSFdY7gR+oKq+PxDk7FMYSje0ThZTve8YLGDQVnn/iEmzps7jD4p9bJkg7PlnX55E9KQQB0fBFh/bj+IGDiOP7dNWIuBZE+AsxnMhge7Jq/Vhwn2llTHU1nc2T2ZqCBbWiOhQIn2nHI+14mJoyqwKcKQhriCr7Ty0Cs+dDyFDIONX9K1BUrS6Fqii4vp+3i0vMU4+isFps6rmfeQLinkebubJmeSuhXXsT7mnPaDoNXQi49uaW8lUVysjjqeMPD5SRa2CNbvCgY9OsJSgkBMu12e394ms4+ZlB3gK6Q0EfXTgXt7S6yrYAyzpDdFp6Tac/TRU1ycGagJ6Qzp6kzdnPWNtk6QN88G2va4ogbGrVQjwhQ2EibbN1crZMMVPF0BTSdeZXklkC+VjKKc4/QpqK+YUvMUXgfLUn6aCOpemLBlED+6MGA1GDRLbaeVtTAmLwndtnWNkdQkrJ4rjJlskMmz72HbpCGn7ecWRVzGRDDXJqITLh46MGa1e8Dl8KlnVa7BydqbrWrrCdFWxpAljVF+Ged3yaYz90wV47j1fQ6VF1lXOOGizmNa80SwaJogp4/tgDdo4fJRN8ubOXkKqW5e0pCpd950rOm86wdnGMd0QP4q8P7Ob+zZP0d1h0d1iolsHKvgjXPbiTZx8xxK7pHCcujdMd0rgyb1db0mmxaTzNUNxk13Tz+3CJnMc/L/kbh73ntXSPbKmrut/7sY+y5B1v228iNm200UYbbbTRRhvNoE0QbqONNuaNgrKJlKAsELO3BWG6hniyxcOEKNdCmczYjKftMsXeyR/+nqNfdGprC/TPf4Wxw+sYV846m8hXv9l0GX0Jg9EQhqqwq8I7fDBqMBC1aIGfMy+VlvnCl5CyfVQB8bjJjtEUj+2e5sGdMygCsq5kZZfFY2MZ+iI6ii9ZwTRRO9NSCPJnfem93PbZ7/CSQwcQQqBrgpcc1o8iBF0hjZCmzjtEayNi3kDUZCpr71WI0ScbWdtj83hrHtdPVzxZauVPRTyZzhpPJnZt2MC7Lzyj5rlcJs3rT1tDrLOLn1z/8ILlufNXeQJmMkno738ls2otHH501XWN6nw662KqoiwEZ0PIwNjcXUf1ai6kbJe04xE1NEx1bgLHvoIiYDR14Dlh6IrgiMFI1XEBhBvtxtaBlDQknC4EJCV52DbLX3h68VzlKKeP7KT/gjM5/LXv56GTnleVlipgWZfZEjl4PqhFYDx6SQePjMzwk5u2cMyyTg4ZihGPGGVzm52JHMs6LcZTNv1RA4SgILy2PZEj6/psGM8QM1WWdBhsqiCQhXSVHRWbDhL462MBYbjD0jhlWQdCBBvEleSR3TPNf3MrBmJc+upP8dFvvAEt75y2UPAJCDlzEaUAdvUsptdSi/UY1pQmKB1Pf8znfXi+xNJqh6Zu4+mByM9/TerkoyE39/gkTnsm5tp1+75Q+xgTGZvJjF0k0BX6joipkbFdfF+CUJH/uAPXLyecRPJ/zx6S+149uMm5SxA9aB7f6gJNk9V0kkVvfBXK+B6kGSLx8c8hnnEiAFum0iCCEO9zOUpJKYlWEG4rCbiGphTJr7mPfprQjdc2VUYJ+JrG9OHHNXV9JXEqpCsYqkKiGRnRCszkmoiiVPL38JW3seT801Fdu+x8aYl8RWH4in/WTCuRdavCnC8k6nHboi97RWsE4dOCtUyRCFZR540cBAOndY1D+8sVobOuW3fN0Ki5eyXr6fG0Q9L2OKgrjFrysIKAMArl7aNW2UuhAJah4OdJ35Lge5U+LIlZPHb3LU33JQJQs2nqmW0k1FS1TmTdmmO6KEnntb+4g1+89gQAJn2fn6Vm+Fmqmhg0X8zkPO7eMRPYLvN86sMHIkFY9HzoecfzOXNl5+zDCHhiPFs1x4WgfUQMlbCusqa3XOFeHLKOyevvIvbSc9DGx6revReNMvObKzFDYcziTbN5Sln+3TZlexQBObvIWZWSzlCgti0B62Xnou0eKWZVE45D4qhD4Krbm8iwmM3sc/mySAoajJr586139M/5xkdYsv6+smO2ZmC4rSm2/+wNn6I/qqMIpSZZdC4IIegO6wiC9V9pn9YT0jA0lZmci6kpdYUolPz4c3B/4ODTFdLLSMnPu/FOhGdz3rNPYdPj5eTtJcuW88O/3kLKKy+7qQrckjH3vpEk42mXLffeyh8/9Yaa5Rj2PP5zeoofp6b5YXc/A2r9LdFCU/yXX32OJ/7zRzw8muGcQ4cwNJW04+H6cNf24NuUQMxQGYyWqwWHjFmhj1J0h/WaBEuA1DEnEr23+bYHcOnnf0VoMsPZB3fjeh4jSZdH8yIOtdq5XTFXKSUIF+DLWfKyIvK2bCmrwrY5nswTkwVre6OsryDCh/XqOVTO9YPx0fcDUn6dcjZCamSE3qWL6o6xraRnhqO4hgF2k9+WYRKpIwRg6UrQBxCMS0KAqSr5MTuoz9Rll9QlBwNcGI7yp3SyaYIwwJlW4IhT6Gkmn39B8Vzc0uiPhuiPlvfRY+kc1MklIP7XVkhO5RxueezLbBn7G0if/vjRnH3UV+kM60gEK7rCuG7r87RUKkUkUm0XK4WqiDJibMhQyNo+sQqV6oIjUm/EYKyGinLc0pgumUumHY++qMHimIWlw0zWZ3g6S1/UYCimoyuCv22YIpFNk8x5jFQ4VfSHNR4YSRZFGjwfFnWYZGyf/rwTRtr2WNZlMZ522TCWZihmEDVU0jkXXVfJuR7jXSFWDgTq2EOdIdKuz2TGYcPuFCu6w3SGddbvnsF2fZIVc2Hp+xy+KMbG0RQbRoPvP61ZhN3m1bHrYU//UgaiBnFLZShqzEvIoBRCCBwpudfO0qOoZKXkplyGS9NJuoXga72LsBRRbM+peDe3fPcPZGwPL+sSu+j56KOjxIH35q+RwN3nvgb3/FezciDKptEUV967k9eftozBmMGtWxP4wOqeEBvGg/431MKYGDEUTl7Ww93bp/nbv/+IjONz/LW/4tDLfwG+jzQMVl15BbGDD0YRoO7TxWkbbbTRRhtttNHG3qNNEG6jjTb2Cnu75gnpSmAwFSIIwSYEIVWQc/y9IqD6cv8pWkkp2ZPKlamj+L4PEtKdvYSnxuZOg3zdfvDd9S+67m+kjl1HpEXv+b6ISWdI5/HRJDFTY3lXBIXqTbgDDUs7LN59+gp2JbJsmUiStT2OWhTlNw/s4bjFMXxgba/FI6MZhmdsLv7iv7acx6LNj3DNjM1IKkdPSEdTBItis4be0jY5lW3NON+IIOz5cEhfnEf3TB/w76GAkKlx0spubnpifO6LnwTsTwXh/Zk3zCpsH4ht5+loFxsZGalLDi7FzNQkF5++jp/fND+Fk7qIRotqwbVQSz2mANeXqPOwVk6kHTosjUTWRVdFwzxKYXs+adsn43h0WDoZx6M3bO5VCM35YDLrNOIN7DfUK5IEUvaBpXZcgOvLYhj1ZRcE30EjtTUJHP+L/2KkexFja44oO29pStNtCYLNykTKZjnNq9pCtfIJBJuTtutju3DTE+NsGk0xOBCQXAYsld1TWaIRA+H7PLp1kkeRnLS2n50zwdg/EDXI5jeHZnIejpdFEbC4w2LPTA5dVVjdE+LO7fWJHYmsy5WPB2Pomt4Qi+Nm2fnKsLCNIOIR9szk+Lf3/YJPf+tNhJz6m0Gt1JuP4OofXcU5b54leFfeX6jbPVqMi49+J9y1tXiu+8TldCzpaTLHhcEBOe7MQ76noDJ0oKPgLNrG/BD5532kzn0WjOyqe43y4gsJfeLfn8RStY7U1VfCR99ffvCgg4n8/n/LDtmeX6a0WkDSdlHzKpXTmb2PSrRQiNz5EGl37vI4vpyfM9Xedlj/vIFln/lweTK5HD0ffgcAyWNOZPwLgUOxpogyQkSrUAWEDBVDUVjdE8b2JNum4K+dnSzatZOYonCEbmDVYEcWuoib3vxvrNNVMk05M5V3LBFDI23Pr/whTZ3TLiQQhPTZsk9cfSsilaTronNRs+kSNWuDmT/8DaJROkV1Gvk/QMp9RxBmVm1UFv8XhFaP3PNokXTVEGvWEfnmD/aiEK1b2xzXr0mS7QppTFX0CznXZ/NkmqUdIQxFCZy3VVFT0bAeQrrA9YMxSkrIFsOSz6ahKipLP/jWlp4DYNErz2XnZdXRM6A+mTVqqlXPbmiC01d04PqQsqOs/M2tfPqiU1ouTwGfev2L+fIvL0dKmKgkEEFZSHkI6rnSTiUq/qhFsILAfmhnXKZzHmt6rDLyoASmsx7Tl/617J7KsPY0Qd6H5uZDhXrXlEDlMuspTCXyiqg3X8+yucjBJWVf/PLnsePXVzdVNlUJVK+FCOoz5/r0RnRcP4goV0p+N1VB1NSQUlaR1ARwzO9+yFH/+H3ZseK9rt10ZI/i2uf4UxhNBXmUOp+qAiKGSoelYail9Ph8WfMCGKqgbFwLaQphQ0VVgih6rg/dIRNVmVXTllIW6yPr+CRtjxnbY9tkGgXBTI1+XKoGV990N5oSfOOOJ4s2rq2JNKmKsbXS2dnxJDnXryIHa8CZVohXhmMszhOCt3kuP56Z5j3xTqJzRDo6YmoL9+bX5J+65gkiusLZa7qRvuSEJTEQgkTWZVVXCF/6OL6PEAJVCJC103Y96I8a7Kmh3Dz+hW8SPefE1t5xNErGlbieZHlXGNubJR+rNWzQlaIUWo2MStusn/e/mMvmqSkKA1GzLDKeqdV2svJ9n9TJxzRMryFe8Bzcex5GAKYeRG8s5T0roqHPSBUit91P6hmHw1xR4VSV3rsfwM+rp+v5+vVkoBydLRnzC/OJwjwgrCu4UpL6yucbZrFC0zlUN3nQyc1JEjaBC0NRTFFCpjz0SKbf87HiNVadd+A1UOeZyXoMVHB1BfDxP56E7ZVHENyVuI1f3HgqoPLaM25k9+bNc5S6Nt775lfyo8surzoe7BlS7E8kgYOSogjSeRGZDZUK7XkkMnbZt6YrgbiRrgQCMNNZF11VsDSVnYkcIVVjcYfJdM5GEzCVdvBcn9s3TzEYM9mye4abhydZt6K7GPxhdU8IiWB1d6hIEO4Ka2ydzBbnK5YmWNphBeNyvi/bNWPTb6lcef8uTlrVjWHprFnWyWTaZVWPxfqxNIviJlFNYTxlM56yYQIWd5oYqsJM1uWoJXHwPJ7YNMbWXRmUxZ30dURQFEHUVPnVF3/D6z/4wuL7axWFNrXx25dxSMxAVQLS/+K4iS/EnJE2GkEDPjA1TrZibD++Z5D/et8vWdUf5UWXfp7lj9xJZHqC5776TDKGRdietXFV5n38FZdw3BWX8Jsf/Y11i2IcvayLwc4QN2yaoiesEzHUIjkYgjFrRZeFpgi2TmaLDmi1cHB3CCl9QoZKzNQYTmTZfeHF3PWcV6AIeNepK4h1BSR8XanypWijjTbaaKONNto44NAmCLfRRhv7FZ5f8EwvN9YvhOKKqkKNiGf7HBKqQicKReG+XdPc9/lLecUHXoqVCQwY9UgWPtCsdmCrJGHPB1UoHDXUgZ03JB7oa9flXSGOWtKBIgTjyRzHLe1mKmOzeybHSw/vQxWCsKEynrZZ0mEGobtblKMubHGdvqID1/PYPu0ipSRm6kXPf11V0BQFVYiWyRCVSg2VcD3Juv449+9KtJbwfoLj+gcMORj2LyFoX23+NovOkFYVgreNfYd3nXNs09emZxI8eu8drDvmhH1YotYQszRyTYQ9Bso+rFTOpdPS0FRRNH7PhcmMS1dIYzBqMZ62GU3ZTKRtuiMGcUPDUNV9ThbWVNheR6Vnf0Mc8KNvbSSyLt3f+yqiiU2Bwth67jc+zC++c2XZOduXxfONIKVkfCbH9Y+NsWU8zdc0Da1FZZrJcGfZ7/UjM6wdiLJ+dzAf2zGVZVFXCAwdT1G4e+skHSGdZx7SxzGre5nMBKGCTVXQHzUwVEG8J8xwIsPRi2J0mCq5/HxqZZcZ1EuTbTuiB2SrSsJU1FAZjBmMzMztkORLia4AyTTfet+P2OXAJ3/+ITonRorX7An3MJBubdy+5oNfR9UU/uerl3P8tz7BwVseqLpGAp9f+xJuWFIdnjUWNauO7Ws82Q4ITWGeRXoq8G4PwNo+oNBM/USu+AcA6Te/FnnfPQGTTdXQ3vx2zDe1TlyrBZnJ4F59Bc4lP0Xu2A5IxMAg2isvRj/vhYgSNbRW2l0qmYQz6oRm3vxEQFQ87Agil/ymYToFBdCsExCrbE/SZQVrME0RhHSNB0emWyhZAxhGYCRooOAGwI13tpTsAgVUahrRn3+fnv/5KVC7nUkgeu/tWC97Ljt+e8288tAVwVDcxNRUdKEUCULJZJKTD1kUOEFX4DBN58PxLg41zGI5AG5+1fvYfMQpVFJXa5F4IobKTLb8/YylbHojBmmnfExsxlHTlT6KaKxCaupq9ZrOCJH603VV1xac5hohZgbKqvsissOumWwVobYMV91O9yc/QPSOm6vahi8E5v/8jsghhxWPefPw8nDrsK/UOoS73oiO48maqvi1wnVDQLYcT9v0hg06LG0ea26BQKKpomGElfnEONEm6s+n6lEOk7nqtqAqAk0RaApYmsbgISv47X07+cK7L+aeG//Wcrm2blzPeNrl9uHm+stmLIG1SIYFDMVMjl8cZcZ2mxrvDE2BGvUwF6SE7pCGKBDhZBA1RzLrpCRlcMT1A5KppWrFEOJL/+MjQPNzFi0xVfy7O6yTyDgIIei0tMDWK2bTcn3JTG52bayKwB7shWDrVBZTU+iN6ORcn5mcRy5PEAsZKluncggCQvOKX/2IJXlycDPk0HrXFFr6b7/2x7r3L+202DKZZTrXOCLYQH7NU0DG9cnkv2HflwzGQlWTBl+KmmrCYymHnrBe9h2XEjln1Whnn8P2ZJXdtVZ3pQhB9tUnYgCFEWKtpvPNrj5MIYiU9EvdqsrBmt5cW6jIy/ElU+mgLRS+i+6QxmTWYTJb/syH9EXLFNBLETM09mAjCGwzrueTztfL1s99k+X/9u4537EEdl1zB+fkFcFX9YTpDhlsLiHAGRWO4bUcvWXeIlHoi1RFMJMf34rjppRk3KCfVvP5BXbx8ucbjFqMpXLFd2rp1c9f3OvJ7YWyaZ7IKwlIo7oKuq4U60si0TRRU8G5Hnrve4TJf/so3v/+oeZ58YIXE/7M58vabyNHZyllmUOLJKjLZsjfX+rq4TVjuxn3vbokYQtYpxv8azSOlxfbcb7+A8YOObrsOq3OmFyr5D1hnWTOY1VPGF8GzhauH7SDD/32iBp3lMLjFzeeivLIC+a4rjY2b3i86pipiaIq+6yDTxBBMmwITC1wOJiNjiEJG4EDRkhXSdsee5I2A1GDtONhqgppx0NKSdL20FWFqBEc01XBHx/ZzVFDMXQFHhpOcOVDu4maGsmcy5qBCKmcRyLjsnH7FMes7CHlBu94JGmXObFIX9JhacQNheFEDklASN42VR4xJmpprBmIoioKPVGDIwejPDiSKpJYdVXw4Pby/aHuiMmDO4LxfSzlsCiscv+mCXwpOSS9i3Ouv4RB3ePWlSdy7WkX8tgHL+U/vnYxhld/zlhvXxJg5yX/y+K4AQTjQVTTMXWV1G/+F/my+b3rYj41GuGKH/2dt//7v9K9s5poXiAH1/p+So9d9Oaz2XjFbdy1fYZJ28PSVRQFRqbL++hE1iWRddEUuODQfnYnbW7eMlWVtiqCd5F1JTsSOeKWSjykBY4gwPPW9LIsTw421DY5uI022mijjTbaeGqgTRBuo4029gqzBj1Bb1RnLOlgqIFRaS4DvqbUV7zMLgDhTiEwtENgIBIIpAyMC/syWu/26Woja+ne2a+++nuW/PMann3JV6uuk8Ad572GE/96SUt5pq6+ksjznt/UtboqUIQohhHTVdjHEcn3Gqoi2DOTYyrj8PVrn+CoJZ285zkHMxgPcefWcTpDOkNxiz350E2FPYz5rMvNR+9n8ZmnIYBdyRxjKbvKeGZqCj1hnZipkrK9ptSuZ3IufeE5LnoqMEHysPcH+74h9k/l9YV1DEVUqZg8mRCIp1TbeSojmaytTtEIn3zDi/ntvTv2QWlqo5FBUlMEiRZCwpVuprsSprIuUaO1bfRE1mUwGqgDQjBnGE3ajGJzUHeYsLZvlyN7o5bXRm1EDY3Y5Y3JXqUQgCJ9jOQkdrSreNwL5IgwFEjbHpau4PqBET7reLj5jeJ/PLqHDXtm1Wr+90u/5iUfeGlTeRda8Kfe/K2y4z4wnrLLCMp3bp7kzMMGMFRBZ1jn1HUD7ChRd3piPIMAhhOzmzsruixCmhKEEc0fKxBUdySyxFXI+mDX6aMP7g2xKGaSsgvkmOBeKSWu7XNwT5iwrhZVWiWyhAgxm869t48zPJYimXV51tGLEULhk6/5T45eEiedyvHnmzYCcNXfP4bSBB2ksPFsHns0AP2xLA+885Ns6oqTc302PDyM73k4qsFMxsWXkqNkULZA+TaInOG7Hv0hDUNXAIGST7cQ2rrwyGFdIaSrQYjvvGpZaRmD60VxPl9KzKgst6kpDESN4u+azydl2VqgmY0cKYM+VBGzhDRRNt/MU/4rRNgkEktT86poPjO5ciKUlICQSCmqFPIEtVSwZAk5hpK/5Wy2+XNxX2tJbXE+ECLYIN9doYRWeF9V1yNg9wh9r3khIk/Q9EMRxn51BUSiZSFgCvUr87vpAknc1NDnUsKveAdVv2ucdn1JzBQLTjAXgjJV0nqQUhL62S9bTrsZXp/z0ANMv/VNSNeB9Ow6VQ5vw/nmV3C//V/EvvldjBNOAoI210yZk43IwaV4+EFSL3shPX/6M0m7cf1KwFRVBiJGWXjuRHYBVYWf+3y0T30Od+MGeOVLyhfqAB/7FOZLLgLA9X2yjiRsqHX7HAF5gl8Qir3eO6nVtPT8PbVQGs1byoroSMkk8Qbk4MJxCWgzCXo+8g68eajFKoogomsoeRKQrsIDj6znpWcdV/eeh12Hiyf28IFYBxdFOxg+/ERueN2H8EIBCT3ThCHGUBVS1Fpr1upT5kbOlU0I3jbfVzbTTyyOh9CEghSSh3fXjybQLFZ2h4mZwZx55/TcxKqJz36ViTrnjhyMNzU2qGrVAAQE46ys09AbEdrqkaq7QnoVodDSFJZ2hmaJ6fNQLM44PpY2t12yVTR6+5oimKqjgp51/SpyeWU16qqCj+Rdn/8Orz9tTctlC0cjHD4QZTBqcvmjo3NeX+89luLooVkHEs+HG0sINLtmckiiTTs9NhMhRRHQFdZJ216RsKgpSl0l41KsH0sW55AhQyWbN3RWzisbodDSYt/7CjNv+yCQ/wykxAdyFY7/VkWY8sInU1j7FlSFK+F6EkVA0vbYPWFz8h8vKeY/V9mg/tcggRt/fAWWapLO1G5rzU4NG7WPsbTDeMapJvA2+E4bKTTWQ8bxiuusQj9S3EdIJln56nNZ7th83HOLZMpVms4PuvsJidrzuoii4EuZ3x+oX+OeFWJ1TwhFBERFSfB+1fycFCmKT9xKVLHOkMHRQxqeH8wzNk2W7CEcdyJbv/0Llr3ztXXv94Vg+MrbCuxdpITJtIvnC2xfMhQzcH2ZVweX+fmEIKwr9HdauFLi+ZJkzsH2AlVW158ltAbK0gqTGQeQdIY01HzfNpbvq4fiJp2mUWyvQghs3ysbMow65NTUpz5W83grKCXnOl41IVcVsrheCNaXwV/BP7LYZ2UdHytPWrY+/TnUz34OASR2Bk62HYuGEEK2tGdST/Am26QNvUtR+WXvAJ9NTHB7nkhd6P0sAlL3+aEI7493ogDxex8rPqflumycmG1PlSTxAqQMnLG6QnqwP+R57J4JbCMP7Z4pqv0fNdTBB359eJNPDu7ay5u+thTLVq6qOqYIUWyfpdDVQD0YgjH34N4IiYzDY2Pp4JsUsyIeEUNlIm3j+KCFFNKOj6IIwrqK4/lsmcyRcn02T2TIOD6dYZ2ICv94LBg/kzmX7ojOhj0pDlsUZ8dUljWDccazHgqwZTJLZz4KwmDMIOf67ExkcbIO122bImpqLO8JYy2OsqY3hO1LukLBXC7n+Jy4po9FMR1VEfi+ZFciiyqC73F8Jsfju8rtzw/tmObw/giZnEMkauG7Hp+5+8ecOLmh7LoL7r6cC+6+HFdR+eO//5Lupf0c966L6EiMz36zFfVaWs8+8IvvXs35i3twbA9TU/jSlY+TtX3+7dy1POrFOa5OOs1AArmKN/vSb/8vL/rwy4nOTM073cI9Pd/6Aie9+2PsStrkXJ/1oxksTbCiK8SWyVknipip8tpjFpF1PBzb4+Aui7TjsSPpFMecE5Z20GHpeL7kvacvpzNkIIFrHh+lP2ryrIN7gWBceLKdRdtoo4022mijjTbmizZBuI022tgrlC5+TF0lrHt4+XCKpqagimBh6ft545sSbH67XrDgNdTaJGFJYFTJuX7TxstKVKcb/K4VQmu+UAjUHiBQb3P9esbW4KChCiKGSvrZ5/GXZ5/HYNRgMKYjEBiawqaJDLGvNQ45VRMffT80QRA2NZEPKSaLv/c1cWAhMDKT5Rf37sLwfDaNpRmImfzq7mG6whpxS6MzpGM7Lss6TIbyRpn5vuali/qLm6BDUYuc61cp/xSOzeS8/GZwEJ6qHuEdAgOVL2XdDUUhYCo796bH/obMG5O3Txxoipz7xxJj6UrVJtGTCV0VTGYcoqaKMw81nn0NVRH0lBIfBIgiaWqW+FAZ6rAU+9vGVlqyV5909DwSkERKSLW1DLGGKmqG3J4P6il6QfA+QrrSWHWsBEJW1/7bXvoctjz6YPH3kSefySe+d1ndNAJSi2B5Z4Ss67F5Mp1XRrUw1flodrWG/8/eWcdLcpXp/3vKuqr1+r1zx32SibsLCRBBQwIhi7O4LbobYPkBCwvs4hJkcVg8eAghIa4Qt0km43pd+raXnN8f1d23Xe5MQmD7+Xwgc6urTp06derI+z7v8zYlknXQFKoiiAY0vPz4P522idL+t3n21z/ONe/+dPFvD7h+6zReOsd9u2Y4cVUPhy/vYn1PkI/d8FhdMrsIR7A1Hd2xW6pD3AzXPD6RyHHkkigP7JlXWRMA0uP4df2M1Ej9Wvp1FdolkfOIBpSy9V/Ok2yezJBLZDANlaiVJ40pAgWJ7XikUHhiIk0q57E3nq28VVtIZBxWLe7i8V1TaJrCIb0RhIBd02lSWZdTNg6B4/LBNV/n419/ffnz1ng+CVz//evxbBfPcUg4KkowxFUPjuYvNFk7FOTaG6vVfkrx6J5Z3vGyXvbFG69vTlwWJag1JyS2gqFIgF6rsXKxorAgNdLDB6ML2pcUVNE0lTKnbSvotvS8g34h9/VqqrgdfEhu2Dbb9KzBe27mvG99vKrfqekkg88/Ewl874rGKb2PXxJpO1ClFUymbEwt8qQoULeeGae9zlVLCa4S3hObSb/mlZCu0+/SaSQQf8sbML/6bdQjj2657MzJ9UmiVdj6BJPTcyim2fTUnOfheC6O478LTfUVU2vBQ7QU9ADzrbvzre+HySR0LYI/3FFyhuCGbdP+P/+yp4USfYJv1NQ4YijE7AGI4dVDX0ivmbVh6fOeATSfhwvO7fADdzO6AJJk1vFI5ANYkjmX2YzdkBxcis/MzfJ1K8wr3vSRsuM3bJ1mWVeAI4bCdcmCtRzsMVNrOYNFLSxAJLcuptPzxIFaCGi+wqIf/yFY2RNke5tjfymWxiwsTStmx2qF1NkIrV5eT33Rk9IP8qpdetURgU+EqYeplE1PUGcqZaMIWBKzCOtaGeEuk/MI6j55NufIlufiJyOGd96aVg3Hk/QGqwnPBWgV+5JKMmXK9oiaGm649tq1GT7yX19mMBogFjQ4z3W5fecs8QY2ghpbvYaota1K5Nzq9WSNBuqxdKaarGdUAVFTY7LGt16Hr14Gt6Rj2HkitrjrtsYX1UHs2quLBGFdFSyOWoCXD2STxfGoXpVMTcF2a7e9wF93FJQiz/jGfxSPN0Nh7Bk//Dj6Hrq7eNwRKld//hcsWTrA2rDOVNrBnUyj5oPbjBJDeGEMec6GfvqDOo70EPhk7N2zGa7b4ocXNJs1FKgK5TiYYy3ApvEUO6bnJ9jFsQB7Z7Nc9o7nYdjz+6dbcplifT8W66lLDi5AEaLpWPq/H/0BTKZZ1WOxLW//3FbDDqoKsHSVgKbwjNXd+QCRctJwYR1oqD7Z2HH973/LZBJVEfSFfJuZlOAevpH0LfcxvnUXS153CUpeOd/p62ffD39fdm9Pwi07ZmqOieNJf20u8AM7NvQHWRINYeR/Dxsaj47NB7CYmkLIUBkK+2qYQxGTeMbG0lVUodBtiSJBeH88y37m239lt0UkoHPkUAzwo5oUoHKazzke3HBd/UZfICpftSupMU/Jsn8HdQXLUIpk09L1emhoCPDH9IDWXoBKZa9L/tPFJDc90vL1AF2Kyme7+xl3XX6fTrDTcdCEYIOmc54VIlwgX5eoOEsgqGus7QvxxIQfXB3UtZp9Y3HUwvF8/0TOc4vr7MKpmbxPZXKm+f6uFIqqoBgCr150dB186Vs/rT4o/Dmz0lZc2r4KCoYC0YA/f/ZY5UVYulpca2YdX0U4a7vkPLhx20zVLW/fMcNZK2O8/syVZB2P/7lpO8t7gkwlZ4tr07ChEja04rcwk3ZYFA2gAiNph7CQ3Lbd309Mp2ymU7MYqsLqxVGmUjZT+evW9weZSedY0W1yy7ZpEvEMu2fSjMazLO4yCfaHGI6ZDEYDPLhnFldCj6ly1S1b6I6YdC/p4RNfeBWW51S1C+SDBD2XSz7w0jLl6maBhQLIveaNHLFofp1+z/YpxvNZrf7tV48w3GXy+Neu4bI3Prvme2kEKSW7SrKBCaHww9sfJ3ftdQdEDi5F19W/wXnPvzOZtNFUPxwg40h2TKdZ2W2yfy5HX1Dnoo2D7JxM8qHfzWdlPf+wAc5eFUPmRaYGQwZSCE5d3VusmetJZtMOLzhsECUf3H6QTFkddNBBBx100EEHTwk6BOEOOuhgwZCyVIlXMp3IFdNiATVVEsinkw4Z/ia9EZGpYJixdIWM7RXJZKqAdN474ityKWVOJNvzVcvqidMciL0y+bn/gh98p/oHVcP60w0o3X01r1MVwVkru4B5hYKgruDKQjtJ0rbLoojBstuvrllGOwhooqhyoAiflK0qIm8YqpJ4WBAMTRRT6gh850JB7e9gYy7rYruSgIBlPRaKAkNhAyXPNFQFSKnSG1KJZxwcb16drV3DQnDd+uK/hRAsippsnUyWndMT1Iv92/F854AifCduMuc2IAGUmmXKsX8u/RSROBaGuZTNltEE2ydS7JlJYz+ZMtwLwN+K5r6y0gL5FEJXBVFTZzKZQ1druWf+9nA8+bTu1+0im1mYc7+ZWpJqHjyyU6Mv03a9mo7dVvDqMzeSmJ2uOv7gHTdyyVHDDCxZxld+f2fV74tjZlER1NJUDu2PAO2p7HTwt0W3dWCknAJi8YmGv9+1bYpgQGVdb7D2GjIPieR/v/h7Xv7W81Hzyo/1iK6OEeCHH/lf2FebDFraD7uCOiFdRSoqU4nmhN1oQKXH8tV9Sx1vMxmX+/b5ztaxuSyjNci/A5EARy3vwgho7J87MHIwwFFHLGHzWJLDjliKGg6Qsx22TqaLa7LlA1F+e4NP5n32OZ/gh7d8goFcvObcOWcEee/Fn+LwXdNsnkixMqQRtVQOXT3AEYujOFkb23bRG6SqbBdZxztoBOGnNRawWGmkxPa0QQsMo5O++XE23Hsz0Hht/qo3P5vv/teVsEBy1IHgH3FWyn74/fXJwaXIZMh+8H1Yv/1TS/NzcgEZFTjnFLj13qanjSdyjCdyLI6aaIpg50z9oMTdX/4ey9/6igY7rHI4DfrVQr61U5ZH/yb9Rmlj/C3SWm64Fk4/p+17pWy3mE79g694flvXJsb2cu7qLuI5jwf3J4oqfpMphxu3zeRJawqHD4bKrkvm3KIiW2k9ahEEFeGThwvPWnghAl+JOOf66sFzOZtCa3iynMSmiNZUgUuhKvUDraUEFaVIJI0GdDYORPDySo6qItAq7ifz17lS5gPPfSKioSpVY2xAV+nNZyYSwledK9jKFAGJrEum0TqqSVfXVeErStaw6/ip5X3F7Fo2j1pFS/yg2kR+P2Sowidv5dtP4pOEl3WZRcXq5BknQCJPXFNV+PGvkWvW+NdrglyD4NICDFW0rFja6hhC/jwZjbGsyyw5AjnX9QlXzJP9Sq+S+f/vC+lFpX8hoMucVycFv/11pbayeDP0H3Yid+zw92t9IZ3TV3QhS2yQhfsWYKgCXRHzgbuyEM07TxWayzrFdbmiwAlLIkgEtudx/77W5oKlMYuIpVURhIejJnqeMLlnNoMn6++bNUU0IKbXxuAbL8PcsbWta4qQLv0hHcfzA70sTcX2YDKZKXu/9UimjewzrvTVl4ejBgLByvtvbbt6fQ/dza++fg2KENiuRzigceziKI6U2J6kxypXqw4bKqt6rOL7X9FtMhg2CKgKjlTYMpFgZU+Q4UiA5V0mCD8IphEUIXArnl9TBEcORf0/CpfnVT0LyLk+IXEskcXKK/QLfDtG4d8iPy57Ep6zoRcBBAMqt+2Y5Z/e/pyqQNFsvh7rNZ3FqtbSmF5vvVMYu1cv72dkrrmIgyt9onwi5/LbR8d5wwlLyZTY3g3VJ5q5UqIqCgV9gYCmMBQxmUhlq/bagxGDrpVLiF97R/5aX3jFkP4cVhgzWlm7SHzCZ2WbCATLuy2SWYecJ0lkHBxPMpRfKnke9FhGUQhDV5S62St0tfBcsqT82m11oBAf/QS25yLwg3EyyQQ880zI1ojUWr2e0M9/XXXY0pWi/6rgP6lnx886sqjE20gUpIDCOcl/exf8qdy/U0rCbAX9qsqrw7Gq44UyrHseQsm/E4lvkzAUlY0DEdJO/WyHnpwnye+dzdT040RNjU/96fQWazqPY17Rx93fbK5gX4q+Lt9GmHX970hXBF62WmCloGxcic2TKXosrercuXwGki5LY3EkiKYIUo7NVNrmjJVdZGyPv5QEi0cCKnviOYKGgqErvO6MFXzj5h2Av3Y7ckmU0XiavTMZTlo/wL78+KApgvG8/WjOg3M2DrJnIoknJdsnUvxlxzS2lBjBQHHtOJf1388tW6eYmU2zdSJJzNIJBzT2zmTIOh4TiRz7ZjOsGwxjei6/unkLjivZP5Xks3/8MJbnNCT8wnxfaScAxfz211j18n9m11Sah/fGuWPrfE6KnpDOusUx5hzJ9664hhe/52KCqfYyZeyxs6w77QJeePnnOHbYD2xfc8V/ltV7oShcf9NDu0kY/mJ5Ta9VDMjZPp0hrAuSySx/fmyM79+5q+z6lf1hCmrjQgimMzbP3jBULNmTkq/dsZMXHT5E1PTXAoZaO1NMBx100EEHHXTQwdMVHYJwBx10sGC4ct64k865ZeTgRpD4BkForkgAfsony1CQEjaNxUmW3OeIwWhDEkktqELgLsABmDzmkPo/ug7pc06HU06Fj32h5imFlFYFBDTloClGVkIRlBi38s9aw+CTdWRZ+tZWMR9ZX16mrvr3PtiixFL6xp1nH9KPlJDKOfzbN+/gkJW9LFoUwzh6mPUDIWayHg+Pxrl3X4LzlyzH3LOz9XtA0QBQioCicPhQBMf1DQEC2DOXrnJceJKiUTca0PLvwHcSuRIihoomlLI+rynzhvLKtNJPJ6QyNtc+Msq2iYUrHz3Z+FsYYw4bDKGJp56cHDM1bNfzybf5VJtPV2PU07RaTzsYqspTQfD2pK+i0ep8XcClxy7HdRsTRMf27OIVp23g+7c+VjwWCahEjXkH6t+CFGxq6pMyLx0olndZBA11wcqgTyUKDiMB9NZRM2wFWjjMKctijCWybJmad+AFA/ME+Rs3jZPKumTs+bSRS3ss0rZLMuMyl3Xy/Ujygy9fzTE/+QqH3/zbqntJ4I7nv5bNz34xIeDCo8PcuXmiOGYWcP/uWVb3B9k6nuK4VT3sTzvQ4trM9WTNwbfUma7VcazH0zl2TSQZjWfZuKKH9AF6S+NZh5ilsaovxM6pFLYjGdQhh6QnZrF917xTx9RVvvv2LxNXdVbfdz3n3fErUokUPw6tYv9xZzG48SjGtk8xl/OQEqxwgP1jc3jGNJMjczyyc5LRmQzHre49oDoXENIVus3/G2aJp9kwdPDQZGg/9M9XsuHem1tWO33l+15UV0m4E1zSOrxtW/C2bWl+Yh5yahLvgftQjzqmuQLguae1XyHbnk8j0QLmcg7xTJPxeM16MqvWYG7b0pBwUSD77P3Fn+sW1e73efySaM2941OFdu/a99mPs2cBBOHSQL9ND/y17es/+/638s8f/mJdwqpR47iuiqpsF0WicwWEEMzWWUuVKrBPNQlY7LLam4cavfacK8sIxD7RVqAgig9Sj98q8IOww6bm21tqnDeXrf42Ste6PZbemCDc4Lk0xa9vvXNMrbEier3r0rZHX8jw13M5l4AmiiS5aMDPLKIKhfSxG6tLcV148XNJAnzrh3D0sS0ps6tK7WxlVfjMl+Ddb2t+XgkiN1YHRU6lPSaSC8sIFTJUVEUQzzhFBeIPfO3HfPyNL225jCNOPqvsb09SlQmr+r5G0zrHTI2QoRbJZD1Bfy8gpeCMlV2YmlLXJmtpCmt7w0QtjaillwWOOq7HWDxLzpH0RHQWRU0sXWXT6BzjNeqkKNURAj4xTpZREn2yvaT/Q+8qkoMXMkpn1qxjJm0XhSd2z6YIGSohQy3bC9XrYY3m0d0zmbLsGq2St0rPB4i7hRoIkhmXO3bHOWZxmGhAJWbqrOqx2B/Pks5n5itNrQ6wfTqN63nsiWfpD2rsjWeJZ112zvj7tG5TI6jXD+CrNQ4qQtQQ65hvDFWBbVPJvCro/DhWL7ug60lWdIVASsKmxuwdP62ZRSYgBGkpudAKYRzAvFyowdWXfxXN9kjm3Lrj/bq+IBnHYzyRI51/6KwreWIyyeqe+cAXCeyKp0hk3WJQS49lYBkG3ZZOynbKxrOeoM5oC8RkgIEPvZN/uv8ePCkZX7qWP733c3XPDQeq57mwrrE/nim2vZB+UI0rPVxPYnt+kLebJyZrSu0ME5oiSjIWzj93JRSAZ50Hv/x5S89XisI6b+7sZ0M6x0TSZvHzzkDL+cTMmq9p6+O+L+fmvxLKB4lVzh+lWRar6it8303a9tBVPzimWRZGx5Nk3vsO+POfav7eTu+sdydPVUne8Fd2jPlBGmFDZUN/BMfzg4wMVckL8zS3+y2KBIjnHMYrsif1BA1c2f6cNnRYCGidIPzxz3+NtO0VgwIL65ugrjIUCWCqanGtXctv4knJA/vn0FXBoQMhBH4wi6kLZtL+88fyRE4nr/w6mbQJGwo7JpLEdEFQU0FTmEhk2TGdIRJQOXY4TH80wPrBMNOpHDsmUkylbI5eGmN8LsdfNo9z4rp+dE1hLuuyJGaSSNtMz2V5YiTJrknff7JuMIylK9i2S9C2GYoF8ZBs2jVNNueytDfI/XvihAMarifpDems6bN4aN8clq6wZiDMQ3vjHDoQ5PjFJhuPXEXQCtD756mqtqiFdkfDwnr7Dz++hjusZWW/nb6+jxQKcyXf+c8+/Qte8bYLUNzqbAKVkABCsPOrf+JcK8Rc1uXmHTOcuDTW9jzYDBf/ywv57oe+B0NDjMzl6A/pjOfn7oQtWd4VYOdM2leVdj0WxUwGIwFOXN7N1qlUcf3kePDgvllyrkciY3PCih5ec8JSLN23YXbIwR100EEHHXTQwd8j/m944jrooIMnBfM2EVmMlG0FqlJQaGldzaOQ8mkwYrKtJD3jQvgU7dy7gORxG1s78fbbsD79HyTf/v6mp7pPElup9TS2ebRZjUbl2+4C7t8CIgGVVx23mLX986pPodecyL07J3ERPLR7hrCpk3Ndui2V2YzDyP/8lBXnn9RydL4AuOyV1ceFIKAqeF6J4kKTNotnyx12XabGsq5gXhHFLqo67ysxxD4dYTsuj+yJc+e2aRLZJ4fM/vcITUB/2GBFt9lUGfZgo16q4UTGaclY3cGBIdLVzdzM9EEv13YPzpgp8B379YbgLktjNtOc3BnSVUzdV2S5/BXPbUoOLiCdiPPTL3yUt7zfT5NqairpBip3UkqEUGo6UEU+NeX83/4fjVRyRI3R3lAFa3v9uSPtuGXP39LcUFSiK9y/8p6Vxxp/gxLoMnVCuo528ISjn1TMZhy6LI2M7TGRtOkN5lOg0p4Rf/L17yCgCdb1BxlJ5Ejk13ZZoXDEkigP7vEVbe/a5js7+sMGhy3ryju/wVIFmvTojgSYzaeavffSt3DvpW8BIKAKlnaZ7J3NFp20hXqOpBwOXdlDRFO4e+skY3NZuoI6pqYwm3YYiBhF4nGrSOZchKwmCYeM+b+X9gbZO1OuZmTpCqau8tiI79C79dFRIqbGuqEIkZBBwvEIGhqOJ1sOglvWE2TbeJL7ds8Wj6UVwbCp8Zub5wmCywfCfOBlx/GFKx9g8eJu7j3kDO495Ay8B+7iocd2wWO7WHbIoRy3to8uS8PxDB4eSTJkGUyOxLlvywS9kQBdwwaaprB+cazMUWc7XtFRCbCkP9y0RV3pO/baVW/8v4KncfxYEc2qePyV32i5rEIvCI/sJjG0tPr3TjdpGc6frganjfV7JoNz1W9Qjzqm+bm5A1c+b4ZUi3uP0Sv+l54P/guRu++o2xdd3WDP725pWI5scSmmK4KjF0cIauLvirAunoJ3Vgu3/uFXvPpDtQOoofYYZ9RQ3gwHtJok30ZvIJ6xfcLrk5D4ptnYnPNcDNVf4x6kZX4RtZR9S7eAXoNRuYkgKI7HQd9TDl92AfrUJAAhoBeYftUbES97LUFDZSplM5dNsvy8E5sX9tqXkfzsVwic2z7ZvRaklMwedyqR/N8tfdGGUfNwO+uYyuBFx5PkKjrKUSedybqjTmTz/Xc1Lc8KR/n3r/6o/B4t1aT5e57NOMX9TjSgMZcfm4UQqPjZvAIVJOHCfs0yVFRVkMo6JLIuKdth80SSQpx8POexczrDhoEQOdfjpKWxKnJwQFPyqtoSTfFJyl6JWmYiJ/nrnvJMIcu6TFb+9Xa/ni21QzUm/vsbaCXNk8i5BHSFZM7F0hUsXS0qdxYQC+hlN4yZWlHZvPT1mprK4pjJ1qk0+2pkGlkoEjmXm7fPYmoK56zpIZ5xGI4F2DpZW4n/+hJVyK2T1b83GwZq2dZbET5Y3hVk80R5ljZNUYpCIpV1uOLOXRwyGCJsaGz48idrlnmSYXJjNs2QqhYz3bWD0lrf8voPkFu7jrF4beLpW05aiioKZHT/6h/ev58lsQADYQNFgO256IqafwZJIusWn2c67ZB18orCeQXoAkKGX39dqa2Ariu+on/feaeiOvPfigoMb3+UV7352XiKwtbf347n+X4HR0pcTzIcqR67HCnLbNKuhIdHy78nRcyThG1XEjM1jhyOkcg6JLO+6rCuqr4ASd4foCrVc5+pCTKOJPTBj5JskyBcqOGed3+ILsB89hksTyVa/77POB7u3YSuCpI5v8625xHUfLXpQvmFb9rME+Ml8+IrtivRVH8vD/57zdaI9gkZCsk65OB2IPFFdWTAQmTTgCC7YiX84BdMZxzslE1AFWRdSaIkk6HADxI28ramRhYOIQSmpiGEqCIIL3TsFIrgPf/+cT79Hx9oeu55z3shF73kZdiuyyNj5WNCynbZNpVCVQQDIZ9Mn3OrZ7bJVI6ZPKn4pu0zgP8ejxqO0G1q9Fga/UGDtO2RdlzG8nNMPO1w9QP7WT8YIRUJYKdhVY9FciqNqSlMZ1xUXEbjGXpCBvun02hCksjYHLooTNb22D06R0BT0PP2sW17Z9kylqQvPP+tbR9P5LNZCJZ1mzy8N85sPghuKBLgsc0jLA+b7EjaZB2XNf0hHnhkH46E885ez6N7ZtjYZ/LL6zezKrebY49ZzqFf+pDf1m2+m3Zw8Xf/g30f/F92TvrBMSeu7SUtBVFNYSBsFBV5AW7+4fWc+dIzW6rTjkOPJ2fNB1AYqsIdu2ZZ3+CadlEMOv7oK/neFdeQyLnYniSgCqKmxglLo6RyLhsHQ5yxtpdH9s5io9AT1LlrTxzb9bB0BUMBhGB3STab3VMpDhmKAQX/9kGseAcddNBBBx100MFThA5BuIMOOlgQpJw3FmZsl8lkjr6SVDmNYKi1CaQFI0sjcmmkJOJ9OGrWPa8RXK89D03y+uv83FotQAKhP/yGiRYIwmqdXaTTP4g+PtpOFQG//YSYJ1O3ikZkK0X49VSEr9hhO15T8m/a9jA1BaHQGnuo5PZFw1XFNYORIEGzPM3iKYcMceTKHta88eectGGAkYzLicuijM7lWGRpTM3lCL7pXQx89bNNFaUARMAk9J5/q/pdFY37ZCuYyTgo8TRTKZtDByIIBGnHeVqTgwE0Vckbszvk4FL0hw0OHQg+5eTgRsi6kr5QcwWgpxp/D8SmdvDtGx/hkqOG27pGUZ+65XZvUG+oSBtPOy0p91uGQirnoQjJlgfvaasOv/jO13jJOz6U/6s5sbjb0p40NX3w22QobAEQMRQixsJS9v5fR6mSn+16ZNYegvnEppauLQwDuaOPB/w59eRlMfbGszw6lkIKQW/UBOadkYqA41b1MJad77HpvAJffx2nb9aVbJlMszQWwAP2zWbLVjgp2yNle6xb3s1pQZ2JlE3S9ugL6mTSOYKmxlSu9THUlTCSdBgMaWUkMderXb+haICgobFtIlm1rpjLODy0e4aT1/ahMJ9eeVHEIGSojCZyzGXL5xxLVxiOBnBcyR2PxZmocOo5nmR/tvw+O8cSpHMOF526kgd2zAc7LDryCB7evBvpSZKpNDkCpGZTzKY9lgVVbr1/N+eduJzjNy7C9TwioQCGpjI9mqQvpDOVD1zp1gTrVswrC69fN8hEC993LXL/QtHx0Tz1aCQKu+quPy9IEeii/3gd3//KHw+kWv/waLrFGh/zlTdbhZTIcV/xq5WU1QuBlG30hDZiNqY+9nmmgPD3vkbPj79TPG4PLWH/d69sqYzKNOn1cNryGBJ5UMnBH3jVC6tIgJph8Ku7NoOoTUZsF14o3PykJwN5Yl89uJ7kWzdtB+YJlt1BnZm0nU+ZLYtzxGGLI5y2vr/Y9wWNSZmuhF5LL1NBPlho1lseG0vQZWks6wqhCNl2JotGJDuniW1KUwQre4KsH4ywYzLJYyWBO/UyGxRQSfSshO3Kukqf4BNuCxh6zSUE9s2nbi69c893vwbf/Ro7/+dHsHQ1S1shBxfwrrcgHnqckCHIuh5OnWHOaYGZLYHptM30H+9iWUkd6raSEITufKDmT60QhBXhnxc01DIV6LI2Lynm49/9Fd/8xAe45qffoR5WHHI4//3jGqr7LQxRsoWThPCDGwESWaeq76dsj96gTsRQ0V99KfrWzQBEgbkTTmPzJz7viz6UqBnrqq80GtIVDh0IIpEEFLh/X5xK5Fyvpk1BSrA9ybapavJr73e/7Ne96dPVKBfwFAVdEURNFRC4eVVVpCQcUElk3Zo2wsGQWXNuKJCEC88R6fHbM+N47IvP71dara8EpFI/0jTjeNywdconYedteYrw9xUF+66m+GrlooSsXhxb8/9Y02uxLBYEfDLrrtk0yML45/+/rpbXQ1NESYCtD0/6RCoh/DEkoKkMhgOMJrKIvKJuUFdrKl57UuIBj4z65MFD6rTTy0IR7shmSC/AAFW4Ym9sET9815cY7I9AyfdZaJ+1vRbLuy1MTUERIi/84OF6ghcfPsATkymklKRsl62TSdb0htAUteb6ImW7VYrOioClMQtVKAyETBQh2Z/IEs/YxTE3ZmkETz+mbB6shOJ5rL3gJHb+4s8Qnp/7h8KBqoCZgKqgifqq9oXnT9ouYUMlZmoMx0yilkHE1JlN2Uyn7GLgStr2MBSfJFoQRVEEeVViP3hbCEhaFqRrE9crUajaxOvexqqXvpjcyUf7WSnaRPI5z2Tv935ZpoC8cTCCpvh7UT8QwVeedT1Zc55z3Pm5xdIFQV1B4u+7bdcnSI9d8Ky261YJmf/f7j/6a8NoQKPXMgjpCjOZXPEZTF0lmw/Id6VHynbZO5tmTV8Yz1PKVJ0tXcHx/DVZZZc0FIUN/WHiWYdUzmFJzDqg/fnr3vwOnnH2uVx47snIOmuWL37rx5x7/nOJZ212zdTvC64n2T+XZSyZw/Xg8MFI2ZpqR0UwNvh99t69c5yxsou5rMtMxuam7TNYukKPpSGl5P6dM2Rtj4ChFAm88ayDpsB40mYiaTMzk2JFX4gHd88Q3z+NqatEl8a4Z1eco5bGmE3nOHJpF/G0ze6RWfbk56NlEYMuzyGeyvHw1imyjkd/zMRTo/zlgX0csryHYw4d4qHHR3lwmx+dcf7xS4l1h9E0BYlgy94ZdM/lvCMXccd9uwFYuXopDzy4m+c+3Dxw6EChOTnG5zIcuTRGOBJg1gGQ5FyXeDbNoohB0FBxPImpqXzvimt4xVvOQ6kzBgsg/NKXMvTWy4k+NkY8b9uKmCrOWPXcf6Ao9N5Drvohu174SgbCBkvCKl/+4Nv46DW/LVuvdvf08qkvfwu161hmMjZ741kSWZdoQOXIRWGiAQ3y67f1g1Ek5OfRg17tDjrooIMOOuigg6cEHYJwBx10cMDIuR49QR3b9fKbpPpGBF31TQwFw0TBqGEZCjnHq4r09/2CkozjEjK0MkNOxGhfek9QX1mxLt7TerrBgh8zdtXPkRddWjRkpXNulcGtHkF43w9+25p6SilOO6OY8qrdVOpS+vU2NFH27grvxyu2eeuFNkppuRCEA7WPh0wDIeDOx8bQVYV9e8MopsFMymHHVIpXn/0CMrEeln3yg2W1r/Q3i54eQtfdVvsm7QkKNoUrJZoQhIz6RvCnAxzX464tUzxcw0nTQfNvLGSoWAVjsesrAi2UaN5lafmxSzZMtTydyqGWGOI7eLLQ3qDwhav+8uRVpQIS37Fv6WpNMkQjgVRflcNg65TvfEvZLvffedOC6pFIJAiHWyOiqIrvJE89SYT7ego2HSwcuqYw+plvsPx5p7esIjz7/EvL/nY8yXA0wPJuk9u2z7Bj//xcoyqCMzcMkHIla3ot5rIurieZTtu40k9XvKbXKlMtKcXuWV/tqTeo02VqJHIOQUNFFQqulEwmc+ycnVfrmkjZgCDs+WWn21jDjMxlGQrPk86llNyzr4SIE9B5xqGD3PDoKN1Bg00jc3XLOm5lD4kK8tz+kvSyQxEDXVHYPes7wfqCelERrN47cFzJ+WeuZXYywba9M7zkzDVYps7K4RibStSGR6TJ817/MmYzDmYqyRFrB5lI2UTVLLfft5t0zsXTNHZO5+uTyXDE4ijgK1kVkHIkO/NMneNX9jDZAjk443gI0WpPagEdhvCCUWi6dlcRsgFD+PBrf7awutQjeHSWOPNo1tfDkSYn1EAw6P+3WTsbBrQRUPFUIfHKN5J45RsXdG0rqoemzyI5aEENN/z251zxoXfU/M3J5Xju0SuIdPfw7Rservq93VEz960f0xfSqb+OrXXcv4OUsqU01TUhBLMNCLoekg3DUSYSWZ7IK+sHDbUq6AXgtHV9VeTVoNH4vR1su0QRTfqLTzx1SNlxPOmrLy6Kmpiq2jSovjJNey2EDN+OUKsaUymbgUiArO3SGywnmGtKYzZDvZ8to6CG3OS5JbB7K0tedxkFa11lPy2da5a/7jJ2fvLrbX9Rk296HaEvft2vm67UJHOpqoLdhEztlEiH7/rjXSy++By0RKLKdgTAyrWErvxt3bJaixkQXLtlmpXdJmt6/QBG/1suDTQrf45/vvzj/PPlH2fTfX/hP97wYhzbRlE0Ln37v/GCV76plZs2qE3zfrY0ZjGbtdnfQOnWvOAMtESi6nj0L7fCOceRHV5G6tv1FUN9Am3tBqzWE/fhAbftnK06rgg44tpf1L1XIxRaY/fPrwNPMpN2Ws5a55Mgaz+DBAylmlhfsAnfc+HLOe6qH7RV133v+nfChoIn8yTa/H9dL5+Fz/ZY2WOxPU9YC+oqK7vbE9kYCBnF8cqjsS2qACnhl4/sKjt24tIYy7qMmpmw1vSE0BTBTJ0sR63MzQCH6wbHBQLcn8tyZsAi1GSsK9YXcITCO9/+PQBO7Q1SSTdc3xdkTa+J7fqk9vFkji5TL9oEc1412deVsGUqxZreUMNAulKs7A6iivl6e1JgqD55scv0CWoFcnCj4aYwmy+7+Bx2/fGu8h9qoNU+nsjba1b0+HUUQtAV8ucYXRXMZR0MVSEUUNk3Mz9eeHm2q1sy3oRuu5e5Yw5p+iwS/1svEGVH3/9+uhdADpYA+/aU+ZQAUjmHoK5Tuv7J2PUbxNIVbFcipSRty7LrLEMhnfNg187261YBTwh2X30nQV1lScxEE0pxfOmyDEbyNoLZjOMH66ZsxpJZFCHoCwdQ86N76VqiYI+uXGNoKuiKipSgCYVu08gHaEGXtZiZ9N62nkeg4kpYsWEj9+yYIpFz+PFXPs2dt9zIkUcfw/s+8l9l53ebOmqPYHtJttBamEjZ3L8vwV92z/KiwwaJBnRStsvde6rnAYDlXSYKkqzrcu2WKXbkM1CdsizG3Vsn2Dqe5J3nruGJ0QQP7YuzaiiClGBoCnbOI2So3D2aYEm3yXErutkXM+kJG3hS8NwjBjhuRQ9zOQchFCamU/z+picY7A4y3GVx8727WNwTZPtogum8iEfI1Ojqi3D0ql5iMYu7d8chaPGiczcwsm+azbtnMNKSgK6wfFU/q9f086fHJjjVlZx+zBKGFncztm0nr/jP1z0l5g6pqpy4tp+4I8nUmIRL7VT9IZ2BkM6dxz6LU+6uEbCE35+SV13F8f/1KY5bGuNrd+xi53SarO3hBJ+8IMYTrvoBg299Cw/99TZe+voX1zxnemqS11/2AlasXM3PbribHz8wwtHDETZPpNgxk2X3zCxBTfD+c9YUv0O9Qw7uoIMOOuiggw7+jtEhCHfQQQcLQqkBY388w9aJJKoQeBKChsLiqFVm2CrAdudJwaXqJemc52+uhG9YKpwjgZFEhsmUTSSglqmnPT6R5MihWFvpD4tU1xIjoyzRzZAlpvkDoSrEvvRpdl14SfHv3mC1ck2l+miXpRUJuq5moDq5lu9fcI4IWiMHCyCgK74xToCmFFJjPT287jKvNKSrBcNj/XMVIVg6EKIrYjI1m+bI4S6SToILDh9kqNvEPuuZ7DzrmXDPXSz9wNvL3m9uYIjIH67DaKC+oStKleq0patF42i72DaVZEN/BAVBzNSfVgRhKeeVBB7fN8cd26YaX/B/FPW+ElNTMHUFTRFMpeyqb9xQBdGAVlSDUIQgkXXqOq5jpoYnZZlyZyP4Klnak6KStWD8AxK1fn7/3pZVhJeu2cDQ0NCTXKN5FJyBKdujL6QznbKJmBoDoQA5zyOTcxlP2lUqNgJYFDFxPDh0IMJUOgfY/OCz/7Ggevz1+qs5+3mXND8RmEjadFkauqkx24LTsV04ntdqEoAOWsRM2kEJGOz/2OdZ9MF/qbteKvSyzCGHM/Omd1b97nqSdNbhnicmyhzOhy2OMut6gGDLZLrMuR0NqGQcj+3TaYKaQqoB8WcyZZeMh83HxZFEjmVdJrtnMi2vhqbTDjtnsizv8iOZbK98fZd2JYoqWDcYbkgOHu4y0TUFm/rruIIjMKAKBiIGyRJ14Hr1lcC2yTSg8vZLjqY/5hMDXOCCk5fz0B98lTchBDumM/QEdYxQkLt3znLKhn4G+iL8+a7tPP+M1T5JpNtid6XaVR0HfE/EYCLb/ONb1mVyMCeLp/O0s5BV9lO1Mjd1hUzeceyTCCGVc0m1FNzUIDg03djZ215prRKwoNuaV9Qv/ffBgKGKskDPrOM13n89WZ2ySedQTzgJ58qfQqrFdxAMop16RitFw3W3+ema24HafnDvwUTYmN+/FVIyl6IV0q/ryQOyEZTiLzf8qS45uBRz01O85qyNfPvGR4rH7L5+9Inxlu5T2HeMR3qgBjmrFYQMlas318g/3wKGznw504n6xEJVCHKqytrFsSJBeLrGXuZZGweq3llvUCfQRL4rbbso0FIGjVag5NVUZzJ2SyGDWUcSCahIJJvHExySzybU+B6NS865voJbb1BH4vfLwhraV2cUTCZyJLMuIV2jL6QX9/jN2qvebZ0SO149JL/3TfjCZ1hecqwlEtu/vaFxnWrh1puL/0zbfirogMinhy9pYauSwVHRtGpFx9j7iz8DELjqV3Rd9Qs8wyL09rdjnngKCoKk7SCRxbT0pWglzXTBBrp9OsP26WrVQ4Dz1/fUPH7I0Sfwm/t3H3AWo6VdJgFVYctk47lBETAQNsj8+Vrklz/PomyW5HEnE3/bv5aXd8EpKJ7bMGNXYN8uFl98TrF92xF5VYSoqcCqCqqCo48ejrBxIIwi29fBL5yf/OOtgF527GCg1vql0GcevvBlHHfVD9pKwJZ5xnkkdtQmxhXv2eT+7cB2PfpCBlnHrcpqUruG85hO5wjqtSsQz9ooimD/XO15ojekE9RVhGj8PoQQfLKrj8unx2mXt3Xbh7/Mqw5byVDYwPE87tg9V2ajUwRk8oTKeNYhnnUQAqIBnZlsjj01FEzBH5u3TSZbyn44FAkQqLFOKowZMxkHRkaI0doapHjOHTfByWf6/67RgF7Ft9Ib1LF01SebS/DyirNu/r+O5xGsEGvJuR6eFPSFDFTVJ7IOdwn21WmXApI330vojGOq6lxaHzcQIH3tHZBfF8T+9NsFrcPqzappxyOoNz6ngIAmGos+LHDAKNxXArlgmInf3EAsoLIioGNpatlco4jqjBcTSZsuU6PH0tk+lWIo0ri/5SoCkHSlPMunqYlif7/8wj/yr784vK3n+dfz5jPAmJpGt2Xwtvd+kLe994M129jxIKhprOoJsq0BSdjKr1+Stsf379vPoQMhQoZak+DeH9I5bkmYqZSDJ+ftKP0hnU3jSQZ6Qrzm1JXoqsIVN24j43ikci5nHTbE1im/r3VZGuGAyp7pDHumM4QDKt3hAGNzWR7dF2csYfOsQwfQNYUt8TRrl3QTiwTYk7SZTuSYjGdY1h8mYKgcurKXcNDglnt2MTaT5vlnr2P/eIpl3RYPjyQ4fmUfy5f75OS07ZLMuTwxluT8wwfJOh63PjHFCQ/fxIXf/jTw5Ns7BPDI+ZcRbxKsVkDa9lj1n//KMdvuKV5fCzIe5+Flyzls107+6ZhhvnjrDgxVIZ6dDx84mM9WKGv3ts38Rx1ycCl2bN/Ki88+jh/9+a90mQZHL4qwby5Df1Dj4iOHCWj+2GeoBz6ndtBBBx100EEHHfwt0SEId9BBBwtCqT0inXOLagUAc1mXJyYSrOwJFomXlUoKVokTugDbA7zyJHeaSpEAnHM8TE0pM9TN5WwsrbWhzJUeGcdjx3R7jurlHPgGNV2DBBrIpyUrIKhrZG0XV0rSf76T0Jm+oazpvX/2O8BP2ZZzJbbn4bqSgKbUVLCwdD9tZGX7P9WQUnLLlgmmkjmOWBxjJuuQzNrsmkiRsT1G4hnef/4GhBB1nWjTiSzrF8d4dPcMO0YTnHjoEBO2JBoLMtQTIud4821w7IlF1YECFkUCDcnBUHvT3xcMoKmioYpKPdiu5KGRp6cq72zK5qd/2eMrXv+dqdA+pbWVvuFcCH8szLm+MTHjeA1VqnKuzCtVlqM7qJHIuNj5No8GNIRgQWTJyZRNX1CveZ8ODh6+c+tmXn3auobnrDvqRD7+3V+1VF4zh3sBMVNDV0WxbxSUPcg7dkoJFRNJm8GIQXfAQFUUdEUlpOl0WwFmsjnmMg6JnMvKniARQyumm3S9eXWxbItpHyuxd9vmts6fSTuYmkJPPqW0J32Cg+0eeJLzLlN/moS+1EZPcJ60UTrfyFILuSx3WNUm4x4sylJrCGiC7OmnE//hr4i85lLI1Z4PM5e9ktwb3kF3nXKSCpy1vq/4bAPRAIqmlq1fJNC9OFJ8upCh0mXNq/BL/DVFQZVKygIRyA968aSveiXzilpSUhy/82cV75XIuqzpCzKRV3pRBFywvp9oQOP79+0jmXXpC+mMJW0sXeG8tX0s6zLz6xTJRCpLt6XhevDwaII9sxkmptM8PlqtqlaKfTMZ9s1kWBQzWbU4WlOlpYCsK9k9U97eLalrVXSPSmJLT0AhisesA70qJKeSHHvoIC+/4FC2T2Z4bGqOxV0m/RGDwUgAS1cYjBgEdYW+sK8elc45RZXJVpcR02kbKQN1VdfaweIXPxs1PkMS/Jf8lW8SOumUAy73b4oDGcDaaNJSMkXhW+qx9BYJwvXhBuqkAWmARiGLrT7SQrpTq6OoqgpfISyPyv1pzYKfDDSprHryaWBarROEhUB95nktnRoKh/3vrB387rq2Tj+YM1qBJFhQTdMUBU0tD+hoZcVhe5K798xx/OLIgis4nXGYSTv89ztf1fI1czPTjIyMFIPO9v3w9yw/78SmfbbwRIn3vH9hla3AylPOY/vtf2x+YglWn/9aArpKSK0OkK7Esl6LXZNpuoM6tuuWKdytXRQh50pStociYHHUYDbjsKE/zEQyh+tJgoZaRVzzpL/WmjoIe6NIQOPMNf3Fv3dMJnm4hX19QFOYyK8btk0lCBkaQ2Gr7vnNSLUFFIKgeoM6YUMl67jkXIkqJKN5BebKjEXdlkYjEdF699YUgefJukqTyQ++F/7w+6b1b/V+rcK3qfmBGkL4axtdoeW5y6tDHc9e+EJGL3whvUGdHSkbxhNla0dLV+i2dLoCOkLMq2k2QzNFY2hMnm2rveqUM5myMdT5kgR+P0lW2Cz73v4avMf9wITCTG5c9Uu6r/olnq6z+6d/YvA9r2tIDi6ULwEtkWDox98k99o31SSJ+fta346Zdbz8Gl5WqYaDT9wKaCpnr+pi10yWrZMpXAmPjCbosXSWsLC+Fb/pHj+TyALXPo7nf4OzGZugoRLWNdT8vrrWey2t4+/f9gme86XLG47rhSJ2fuX7bdVLQNk7bxeK8Il+E8kUMbOJ/b3Od1B4r5WwPclUDcX4AvbHcy3bxQJC8N/d/exybIaFRqCGaEkpCuvNiUVr6FbAyW8Sj10SIZ3zmMk4bJtK49T4bpO2w66ZdNP2iJga0+kckcC83XlpzEIvIQMLfJtiLbt3aVDH0tdc1PBetbDsI+8jefO92K5EUxU0ReLh90dVEdiOx6qeYNGnY+kqWpN2Q8LkXBZXSj/gyvZIepJExqE/GsAyNAK6Ql9YZyph1w3QyToek3+8C3ZvZenrX4ZSoujumiH2/Pp6AKySsUlwcNeHpX3SzKsDa6oo85cUAm+yjh+MUo8kPJfzbVoLxfeuyCuvPjFFt6nxsqOHq8aNQF7dthQDIYOBsImUcNhQDEVUk4BLUTqXmXo56TmRSHDKiYcSn51BqCrPf+ElRM/pJZ5tLUhMoNIdnhdIqGwvM59lr5Y/KmLodFlaTYEMRcB4xTjx6FgSVcCaXp9YXGp7WNNrMZdx6c0Hva7ptUjaLrunMzgSUqogmXMZmU2woi+Ipat0hQy2Ts3bPxVgdX+YB/IKxYmsi/6jyzmCh1k1q6DbMIbHto3P59Ylz2EsnmGgy2TxUIwzj17CI1vG6Y0EOHQgyrQjCQFdQZ3VQxF0ReTbQtIXNpiayxANGmybSDOdsgkHNMIBjT1TKS48apipv9zNYU8RObjQjO6r38DJukLacUnk19aaKtAVgZQQDqj05W2Z3v49DDYhBxd/k5JNJ5zIoX+5iw+cs4YnxpN8/a7dzBxxHN0P3v2kPNMHX/Hcls/dsX0rOx66m+NPOpUNvRGChsoJy3rKyMGtBIR10EEHHXTQQQcdPJ3RIQh30EEHB4xa9j9XUlSk0BQ/ktxQBX1WAEWpHXVdMBwUNqOqAo+NzxUdQ1lX0hfUyhyw26ZSHD4YbYmEoCBIO0+9Wmst9eDeoF7bKZR31ghg1433EHnu2ehzDZxON/+VSCTMVNrmZw+N8KpjFnP3vlnu3TvHcDTA89b3o+VVeDVFoKv1I949Kcm5nq+MJGF/IosQMJbIceSiCCH94E0Z06kcP717N/tm0nSHDO7fM4OU0BsOcN+umeJ5P/rrLi47fllNA4PjenzsD5tYsijGnokkJx8+TO/S3iKx9YGRBGesjFGP/hvU/dRZzVCrbylC0GMGCBsaO6ZSRWLn3zsSGYe5J0HB86lAs3SnBxOKwkFV6Z1OOUQCKpYQpHO+IsmBYCJl021pvgHbUMk5XhOVlycR/xifRhXC4TA/v38f+7ds4R2XnIUscWYccdypfOHHv66ZQrMemjmLC8QW25UtO8h01R+nqtWt/OPdAQMhJKDgVt3ef3GnnfcCrvyfz7V0v1Kce+lr276mQLAP6gqqIsi5Hr0hnem0c0Df91DErPF8Tx8cDMLK3xR9w0z/9mbI5ej99EfR9+zEC4eZ+ue34aw71D+ngXJnX0hn3XC07dtG807Wwn+lhPv2NSbhtoqpkvoesShMLOA7ll59zOLimqDUseb3L/8P25NFAtSaXoulUYMvX9eayiPA/tkM08kcK/tDTCVzLO8NErJ0Zh15QATaqKnRHSpf80hgOKjiZWx0XcXN2Vzz0P7i7y98xnquuncfEUtnLO+Q6wrqPLJvjvG5HEcuiTI6l2N0rtxZNxAxGIgE6AoaREKwZzbb8Bte3mUeMDl46fknoVR6UKWEN7/WJzG+/8OELn7JAd3joOCpnhOfBnPw46eezwlXfqPt67YeuXBid5epkcyvpRRaI362A8eVBLR5skAtZcNSzGRyzJas7UpTTfcGDZRmRIw6aPbVCEXB+Jf3kvvPD0OmsYobpoX++rcgjOZ7oyL+cANccHZr5y5eQmhoiJTT+pzXjsJkMxT2v5oi6LI0XE8ueG2cyLk8MZVmbY+5ICb6TNrh9ttub/u6d1x4PD+9Z3fx753f/Q3LX/X8usFDheMzz3wO2vMuLqrvHQjOf89nueKi1gnCwRVH0BMyyNgevUGdZV0mm8bKqeWehOnpJI9sSxcJI70ho0yt/owN/dy5e16Ff3HUIBpQ2Xbn9bzkHa/FzuUQisJJZz2bd37mm1X1OFj7xNLXnXM89szWD6RTBWiqQlBXi3uCtO3Ra+kMhU0UUdvOoKlU2RYKCpKOJ2t2ucp9aSmJtzJbkZQwm82hCJ/QqghfPdsPypa4Uimplx+8HzI0XCkxdAW3GLxXElw1MlokBz/VUMT8911IYW+7ElUBQ61P5CpAq5EFodvSSORcbFeWtW1hTOoLGQT1aiuTIvzf5lH9glvpimoD5omuCnqDvqKqUUIwlHhVe0QpfLtjabkRQ8PLB5jGTB1TVVgUsfA88vtCn6I4d8KRYNcnbSq2zfKLWhz/mScJG9/7H0Ze+s8Nz+0L6WUEsXV9oSJp1pMSVSh+9jp8Ivze2Uyxz+dcyZ+3TnH+6o0Mbn2kZvm1UCCKTreQuSlqahiqQBGiLKhe4Ge5K2Aq7auMG5rCokiAgGYg8N+D43okbIduS+OIoRBZRxI/4SRu+8AXOPXj7ygb1yu7TPx7v6B7xUrSjseaXssf34SYJ04Kn/CtKwJT8/tLf0hnKGwwl3VK7O1+/QuBk5APogQGIwEMxU/x53gSRQgeGPFJcrMZh6GIUQwuTtkuqbLgj+pOvmM6w/Ku2pEJzeb6yiBID39tV+8rUYVgpW7ky66/fyqU+vbXfR0eGWVXf5CLjlsCQLepsX1qjn3xHDFTZXlXkCcm599tX0hnMj+uJ7JOzfcUMtRiZrFSDEYCCBScfKc1VIGmCmy3dj2D2vx3rnjtrVsKJRbGsVTWKcv8UghSb1V0pYCcI8nk55as8APndFXgeDAazxLQcyyKBYlYOhFLJ5l1GItXjyfZgpFm6Wp2X30H4AfiSCS242EqAgWBIiRdpgaPPNRWPZthcdSkL2SgK/O2ttJ5VhH+9+uvTfJ7/TqGJSn9wIDH57Jti8zUCowsEDER+XEgT+hO2x4IP+DNcSXdls6iiFUcixxXoimiGBBXC4UkBWYJaf/RB+/n4vNOKz/R8/jlz34EP4PDLulh5emxJk8i+OTF9xf/MkvIwQFN8bNH2R5Bo3re1VR4YP9s3ZI9CWv7Q2yZKt/PFHyPg2EDT0rGkzZ9IZ3RRA6zyyx+p5oi2J6/VhXQZen8etMYbjpHzvF4bCTBMzYOQr7NChms9KDBuRsH2f2dT3J09npOeBh0p7T+Coft+R2nR37Ht9ZehHPuRWyJ+/fccOgwW7aMkWOOoCbYlsyxeV8c9sXhsTEATtgwyL7xOcbvvZ1kOsvpJx8G0SUsXjvoBw1ksuzZO8MJH3xzvoWfGowtXc0D+6uzX4UMleMXh4vjasHutfQ1L2mrfu7+/Ty0dBnRiy9m3ec+y3vOXMnUcd/BPeHwtsppBgkgJelke3bCt772ZTy8ZSeaIljZFy7WqaMc3EEHHXTQQQcd/KOgQxDuoIMOFoRSm/Wq3jC7G6SOcjzJVMrG9jxCuoYilCoDWiFVk6krIH1D0WgiW2XQmEjZRANaGYEu47pNVWD9eniM1klb1gytKkoVYA8vKbu2EtGAXuNo+f26LZ2dP7+WVT1B5Cc/irzqd+C5sGgRxi+v5sGROR58fIakPVW87mcPjRQdA/viWX73+DhnrOimN6TjeJQZsKWUjCRy3LZrGlNTGEvkcCU1VR0ksK4viKEoTKVtlsUskBKhlKa3EnjSf9dCCKSsdB35cKXkL9smydge3aEAioCjVvTgApm0zaGLIsVz981kuG3rBM86dBArMD9leZ7kDT+8h63jPgn9sI3DbFg/xHiJ8XVZl1kztVzU1NAUkVdpbfxWVeE7/+rBUFTW9IbYE083dTL/PdgQBqLtq7w9XfBUcmAOJmGhgINN4PVJoaJoEA0Z6gGnI+2gGovWrOFn9+2pOj6RtMtSWTeD7UpCRkGRQCmqkzieRBMw2YKzshIxUy+Sgw1NoArfYeDhO85UVUFKScau7tCFI5e+5b0LIggXFO4WglLFr6xjEzU1pIS5BRDnDxuMPq3JwQcblWl2n1IYBpPv/1hbl/SFjKJS74FDctbKLjZPptm3AHX/SoQNFV0VZQSQ0qatnAcEvkpxpRNYVcg7fVt/LxnHY1PeITOaf5Zjl3cRCQeYq+foa1LmaWv7igFjxboBdz2wl1T+2zp2dW/xt9VDEX51/eMAXHzWmuJxu4U0k2NzOVYORNiW3xsEVMGSbpOddVJppxspr7aAZeed2FxN6j8/THJslNCb335A9zoQaKogbbc3jgXzqj0LxoEuPlu8vtG66NFzXtQWQbhQ1K1v+H91qtS8Uq6UREyNCP7ep5YSVe2yW0Phexb4JIJm33fKdqtUrwroDbZByK1CLUpKOfTnPB85Nor9za/WJwmbFtoll6K/7FVt3T00NESyFZLw8lWEfnWV/2/Zeqd8MmazQn/QD0BJEfzAh76gTrdVYlKVklTJGCmK/5fvtwIe3DdH0vb49b+/vO17em7FWDA0xM4/3sXil5yHNjtd1V6eUNj9jR/C0tX0tH23cqRyLlFVIITkbT/6K1+67Pim12jRfg5/wxcZm8vy+Pe/x5YrP1mlIhgEXrtoBeNv+gJWrA9TU0nmHCSS9YNhco7HZDKHHtAh4xDUFIZjJld947/5wP9+paws6brc/uc/cPtRw/QODvO1a+ZVyBoqfLcBL78Q2DQSZ388U0W+BZ/A6Uk/68ds2ma2YiGqKj4ZV1UEgcK6Lf8pF4IOKnv/1qkEiZxLNKDRG9TpCeokc25Nu00zSGDPbJOAgQocMhBGyYdb1IJzwTlt1+NgwGgQ/O56kPb8/VTO8eoqH9eyF81lHeo1bU9QZzBUm+iYdbym61pdFfRYGlMN5qVGo1OBwBrp1jC10jWqYDLVOPOLpSv0B6vrXohTlfnxOfHM0xuSgwt1rBec0OiaZtAVURVka2pqzf2c9KSvXFqjD1z97s/yqjc/u8Wa+Zg445nV95C+TbDb0nGlb1Oey/gk275Qc2Vyid8vkrZLSJfoih8AMJbKMpnK4UmfxB0yVH7/2CQs3sATV1zD8P2388xvfQzy477UdPb9x2dxjj7BLzjfD4ajAW7ePgP4bVcILjhteaw4zwXwM9ptLwm66AnqzGbsugTCJTEr/w3kSYeeLFP2TNku8ZJ0J12WVrQ71NqLHjYYLtaxUGrBNt2MbOVVlPfXD32REz/69pZs9JUZacrKVRS+9clfsTrnMJmwWdptoSmClO1x0+OTxX1fgYy/pjfIlskUkYBa1kddCZHAvHq9oQoGwgZ7Z7M1R8xec94XoOQ3MI3W0Y7nj8H75/xxe6Grl4CqlJGD24Wmgq74hM8y0rbwyfKFsdjSBXtmMzw8MocEPNfjyMXlxFJF+HNhfyjAvnj5fGSogslUfnwsGbhjpqBb8Q5obSjw29LI74k9DxzXFx8pe9ZCP5XVSreOV62KK6UknrMZyfubMmvWY215vK263fjSt9MT1DlucZSlURNT89WMjVKib749wrrGmp4IquLbJyqz/xXU9FVRW/VfEQIXiSv9AIGrf3sl737jKxvW7+GfT/HEtdM866Mrav5+1OILeenJnwR84rFEFtvO1ERxHWaofrsaqiCXr5ymCDaNVQvjdFkavVaArVNJDFWwc7r2HOf3GZuBoEa/qRIOqGybyjCWsDlyURjXcdk84fuOVvdajMzlGE3kUAWENBVNUbj4uGGOWBLj7ifG2TGa5PHxWayeMKeu7mXT1z7KuZPXsyGfJK3WN9g9B+++95f8MZgjdcpLyUwnCfcEWLdukG3jSZb0WtzyyBYAjlvdy2QiS1fQQJMempMhnswgpcRVTR7aOc3WkTjHLA4yZ8POx/dwYp37HkwUukrGCvGHy6+oeU4y5zKRdum11DIhCiWXXZhq/y9+wcO/+AUrb76JRStXknhiK1vXri6uzUrLbHfNUcBmp3078tTEGLGgQSHHrSJAUzrk4A466KCDDjro4B8HHYJwBx10sCAI4RtKXQmmrmKoCrkGLJyYpdFjGeiqwNSUYvphAMtQCmGdRQOCofnpdurduxRzGYfeYH2CsKX7ZCtdUQgaaoW6QXOkDj2c4KPtRarv//aVxX9XGms0RXD33tkyQ02XqTMY1n0Fh8QcXc89Cw1Yga+QIPP/vebyrzK6dBX8pZqQBjBToRqyN57lxw+O8MKN/QyH5xXa0rbL9dumyozEpdAVwZIuE1UIHM9jMmVz/dYpPxo7qCORuJ5XNOiUwvHglh0zjRsI0ELzZNTpRI6bH6+tsGfoChuHowzGLKSU/OGh/dyxdbJIDgaYzLi4jlvmqCio4hT+3W3pZB2PeMYhqCuEdBXbc1GFKKrmVEJVBG7+GZM/+gF85hN5662AM88m9LmvoAiFJdEg43kj/5NBHn2qYOgqRy+Lcd+u+pH7T1d07DR+G0RMDcG8SkiBpGqoCkk6BOGnEu2STwoE7kBQ8ZV48qQDq85c2Ax9QaOoblRJjHCR4Mq6qdFKj2uGgZNrj8T55Q/9C2/96OfbrHFtxDMOAU3UTUtaD5am+qTov+MxuR2EA2ox9d/fC6ZSOWKmhq5WkwHaRWEOX9/nO3d3NQhca4aYqfHiwwYxVKVlZVtVhYdrqKwI/L5rVxK72sQ9O2cAOOuQfuZcqhbDSgO1ucVdJusWhauOb9s7UyQHA8W0iQADMZOtI/7z/OLGLTzzuKUkpILWwrgWsTS6Yybj+XeadWUZWcDSfeW3RM6lP6SzNLbw4KSl55/UeqrZb34V8gRhAfRYOq5sXZUdFk5YVBXYO5tqOWikAEtXSR+A6mc7s5DjSXqDOinbbaq42O59Hjn7BWy84ddNzyu075YDUA8GP+jqqcicIGktaOygpYuvvLbFi43XvB71iKPIfetrePfdCwWVYDuHcshG9Ne+Ae3UMxZUh9DQENy7yd8nffo/y3/sHyJ0zQ1lh7otHVMLVzl8C3+nEgm4+y9w3An8bnsC253/sR4hTQif+HLIQLDletcidZ+wtItz1g5gux774hlGE1n2xbNsGk3UJFjcvz/BqctjxbTtGVdy1+4GmX9KcRA3jHt/WqLom0hgdkerCC2aIsrSm0vpE0QsQyGZ/1YCWj17jmBsNsMNj44Wj5z4iRu5+2MvxE1O16zT0S95N8ZRfjrfRz5+EYnEVM3zUsCX9u/gzI+9hI/39POe2EZ2brmObdJ3ySuqyoVf+iVd1jC9QZ3dsxm+9G9vZPsdjVWMJ0f3celxy7j64X3YrsfiqIWlq+Q8j8fGFp5tIJFzue7xEaIBHUMVVaLMfUGdifzBqZRN+FtfInrjtXgBk5HXvgVOPpOgoSKl3wdL+6EAasWQKwrFuSOeLc80E9R9hWJXFkitzfvVQsgNiaxLNNBgP3KAa5x2IQGh6TVtUZVI256fSUup/d07nq86X2pH01QFp052lwP9dG1XcsH6Ph4dT3Lv3up1Yz1YmlIWUPWk2pwmJ1o6rXmISh3ccxcce2LN8mpl5hJ17pRxXRoJ8KeDUaxUvOW1x553frgqmCJmqqQdWfyuF4LeoF7MRlIYmj0pG6pJ7zvqFHb+/vbi99oXMnBqkM+jAbW4R17aZeJKiSZEw31BrQx3lah19dJYkICawfYksxXZYWoFYg2GDdb1WQyGdSZT1ePTw6NJ5rIuiyIGo4kcihAMRw1G5nJldtx9Y3OkbZeT1g0wl3MZXXUYGdXAdFu3TxTs6QCJgcVMfvvn5FzJg9dvK57TFTJ4ZCzJvgql24IquKWpZSTpUqRyLmFDpT8cIGL4QhR7ZmsHrM7ZDhFdz9uKBDlHYjbxziooLI4ESTY+rQqlLW5ozW1KlqEgvUKmHH91lskHrqdtD8f1/MBzRRDQIOvIvAq1RFMBKZhMzxNlTU2hNxwgkXExFH8fWVDB9VxJr2Xk9+3zfolKxWiBb1frsgyiJ53EAVmqFRUFhWaxlyIfWF/rE62l/q+p/ijVFzKYSdukv/kjrLOObalKhaJOfstr6LGMMtKlpHzeKmQvkciGtrHC+qKSyFwKUxdFoYBm5OACsjOS6/5tlEd3TjA5E0cRYAbLbQyV91REuU8s51JIv+TbOYX//Vi6Ss71vy1NEfRYOr3BAI706Anq3LU7jit9hf9CoMxxP/w8G2+/ujheSeC+17yHnhdfgpS+cvmDe+Pc+fg4oYBGfyzAGBIroHLYkghLu0x2z2Y5YWUX3UGdkak0//3T+8ue5/4V3Vyy6yo2bG68Zyv89uzbfs+jJ7+ESMzikckM3UEdfS7JmGdz4YlLmZjOcNfmct/X8f0uj0nJyWedzPaMwfrhAENRA5lJcdhwmJd846OtvJ4qSClL/GP1ay9LZOT3rD2K6975qYblBjTRsLyFYPsZZ7LysU2EQyEWPbqZsav/hPfut5bXM/+/WuThRniX2fr+sBSGoqB2SMEddNBBBx100ME/KDoE4Q466GDBUBXfF6CrCst7LCYSWTzp/53Ok5vChopA0G8FEELger4RqUAuBkjnqg0WOUcS1nUOG9TYPJEoGv9Dhlql1DKVzjEYDtRV+UjbHqamkJEey2NB4lmbvfHWiSPjn/0my887sSWFAgkII8DavhDgb1zjWQdFUKK24PHgSLVpLxxQuODNzyOYTc+Xlf9N5Ms6/xNvwgV+cMU1LdX9wg29pHMucxmbcUXQF/TTzStCsrw7QNBQ0BVBPOsymsgR1FU0VRDSFbZMVpOHj1scodvSSNdQywHfwFNQsGgHbg0HTMhQOXJZF1lVZS7rcPPmMbZPpLh1ywSzFUbZ5x27mKmsW0YOXtVtEjU1YqbGvniGyZRNl6Vh6Qop2yNVopzTXUz1Wf6Gc64k86634N54fUXtJNx0PcljDoHefkLX3sxgyKTL1NkyWdtsm8i6aAp1++nTBSet6v27JAh34BME43WITurCxUI6WCCm0w7dls50uj2H4sEwtqq+UF3eGF/f+1jPMVmq0Pjjv+zgkqOG27r/Tb/9Gee/9DWsPuSItq6rh6wjsXRRlUGgEcIBtaU0vv8oyORc+kI60ym7rkra0w2epEjO7C1J1XqgWNUdQAA7F0gSns047JhNs763mlSrKSKvDijLVLfqETVUVeGkVT1ct6l2EFS7uHHTOIamcOyKbqyAxmy+DnqDQf70WurBiuDb15QrGz26Z6bobExUzCXX3r0bVRE85+QVTet49sYh9s7NO9dX9Vhsm5pfU/aHDFZ2B/D1V2XLzp1aUGR71yefeQaha29GCF+RLvcUkZpcDwbDFkNC8vBo64SgyZRNJKAtSEHdR+utk8unUg9ognBe0b6SAFIPtV3o8/jrJW8iND3Oivtvq1mr0qv3rtpYVz245sUHEa0GBLSLRq2zdy5T/kilirOV5VQMNBFTI2q0pkCsHncC1nEn4I2PIXfvAukhhpegLGpvfq+H0GUvh8uaq+L6+9Dy8Sj12KPwTxdXDaTPAXJ6gB99/EcQrh6PS2FqB/7uNFWhO+iTuAYi84ELe2bS/Pj+fYzMVZOR7t4T5/ilUTQh2TN7sBTxDwDhMLLG4sfxZBlpXhEQDWiMljyTqoi6xPpaxOHjPvgrABKJBNN3/471hxxOaPUxnH/YIEt6LfbOZPh/F59dlxwsgOONAC+0wixSVbbYOQ7ZczubpMdE3jbQJSXT73wJZsDiRCOAoyh8bWR3S03hOg6vueBUrr3tXqT07VCaUNrK8FELGUeyvt/kgf1xeoM6nqS41s/l237Jc09HrVBgXf6R9wEgV66GK39fVa5v+xFYhsDz5rM67ZxJVZ1bQMr2yjJvRPJkQduVzGWdmuvghewzcq6HptKUVHWgaMXeVoD3x5uQUrY0bjuen3K9VLGwFJX2xaztETbUYhBI1nGLa+vKcRj870nJB523AlWBbrN+RjEh/CBfIXziPvjZaXpDejEYsPI9CgTLuixGE/MqfrZXHqDVCqk4+ap/aukZDgTWnh2kaxCEe+oQV13pFbOWeXlhiWTOZTSRrakAXcBPP/1zXv7WC1E9fw1V6+0UmuQXH/0ua0X1OTOZA+/0IUMjqKvsn8uQzLm40iOol7vjVCHoD+nF4Lrq+pa/vFC+f3pS4roemgLbptJFe+NgxECtE9SnKoLBsFFG2itkQ8jYHlnXq9lYngdRU+eJicY01aCucPqKmG+PELWFGJBy/lmFKI5jWUcSz7qMPP4gv3z/ZSDnx7dfAsuOPoPn/PvXuOE713D+K85ua8zIrVzLdf/2ZXZNJNgwlsB2PE5a3UPA0MjaLpah4QhBf1AnkXNI5/dYPflvdSZr181IEQ5orOgO4bgyz32UrO0N8UQN2/DumQyDYclwxCyOR34bNf5ALV0hOTAEYyMtPrEP1zCImlpRvbkWVOELc+Qcr0Kt2yeZlgYd5RxZPF6osyvBVHzCqamqbOgLM5HOEg3oWJrf1z2qgzQ86dviI4aGh69mO57MEjM1eoMGEUNDUQSaAEVIQgGdFsOwauP312Fpgqxbn6Cvq4JUDR8VzJNf7Yo1kQCiAYOg7jGbsf22vuyV8KPvNaxOoQruF75Br2XU/FYMLd+uxfcgi1erClXq6ooAU1eQsppsXYoCOfhZJx3esI6VSKdSpG2PUChcrFPhLqaukK0gJAe02iTlQo8X0p+/hiMWpp4jqKlYmlpsi4Ci8tBIski4XxQxOPYP3+fw3/9vWVkFHPPtT8O3Pw1f+h7Dq9ZzzQP7yTgeGSfHZDKHsgj2TKfRkSyKBljWFSCecZjLOPzwunLbyIqBMMuv+X8cv6+1thGAIuFln30tLz/rI5xy6CADlkn3QIR0xmb/eArLUFm/OMqW/fHiuzMVOP6sU7lv3ANy5FzJ9r/czpkXnIsb60adrr2ObgU/Sc7Rp6o8M0+SrexjhTVNfP3h/PVDXy7LMKEpoiqwI6AKInkBi1pk+QPB9g2HcNjuXQxETAZe/Dzci5/D42Nz7JlJl63dFl10Nkaq/tq4AAm4RgBhhhZUH615otoOOuiggw466KCDv1t0CMIddNDBglFQ7JLAyp4wO6ZSJSlXfQNvfzCAWpHGyvFkUdW32WZSSsEh/RESOYfptM1Mxsb2QGHeGZBzJTNZm7Be38heMFkoQtBlGoQNlR0z6ZbVCHd+6gqW/+ub6xogSx8jdOf9Zb/1WCrxXI6ZtENQV7lh22TNe5z7touL5OBa9ygcU4GXv/nZTUnC0YBKzvGfPBTQmEnnUBRQEPRaBsu6LJbGLDQFxhI5BsI6d+6qbW4LGwpnrOwmbbsNlWkyjiRRYUwbivjtncy5mHnVuHjWZawk1a5d8h7OWNvLEUtjGIbKeMohoCqMxbMoCgx0BeiJBFAVwdjcvCKDh69CEDM11veHOHQgRFDzUx4lcjaO1ziV+XTaZjptsygSoMucj9pPvuh5sP2Jhu3M5DjJE44g9JcHCagq6/vC7JvLVJE5sq7XklrH3xpBU2XDUJjHRhaurvS3wFPJh2tkaP1botTw2hPUyTle0QH+NK3yPzwSWRtdFU3Tj5eiluO5XSyOWShCOWgG2+/cuplXn7aurWve/7IL+ek9rZE4WkHa9kjjtdye48kcw1EL7++FLXuAcCRMJf3+FlCUmmmvn47oDeq+wvVBfE1CCJZ3BRZMEAaIGtXbZF31swqkvWpSqhD19M2gO6TTGzJYFAvw8L7WyaH1kHM87tgyiakpnLK+n5m8olMlTF3hWRsHGe6xqn7bvW+WXePl83wqazPYFWT3RJJ0DUJq1NJJ2uVEkwuOGkZRFZASx/WQkjJy8LIus4wcDHnnWdE5tXBS3+JLntX+RZM+UduTsG+u/f6xYLW8A8CBcVbbr23WkWTbzTjQQh1vfP2HWHPHnzjhJ1/GsKtV1Vyh8INP/bwpEfTJ4gf/rcSB2lGwroSmKkRb4wcXofQPQP/Agu/ZsGwBhqpUZS1ohOT/ez/87ld1fzfsLK9634v4xfu+QmLFmgb3PvA3WK+IJV0Wbz9tJV+4ZTujiVzVNTFTI+t4ZNpgT6p6ALfGd3BQ0EJT1HL6LxThcJjwWS9l6WCYx0cT/Pive3jHs9bSHzUZH9tZ85rDdINPdvUSFgqWmFciW6ZqvCIc5fp0Cl3A6WYQT0osRcGTEl1Kbh5cAsBfsxk+ODPBdIO67dn2BNumUgxGAqgCds+m8+SmGphLMPj216JNTOD09WF/6dsMLeojbbvkXK8swLxgQ5pM2XRb/nrB1BT0VJLlF8yrcdcKhhDbt5I8diOhex6pqkLa9kqyX/mkq3rBnzUfoUQ9XeCTTHfOZPOZlfy1Sm9Qpy/k280KW44CEVbmCVqV49JoIstowu+vG/rDqI1kWxeImdPPpeuW65oS/iTghMMktACNZ4tyFPp7LdXF/lCg7P1KKCORr+ixCCgqiqg9q+pqPgW8aO2buntPnEfG6pNbPEkx61kpab8QSNcT1KsIpkIIIoZOpGfeJjqbzZWRfZoheeyhbRsNFjLyps+5sOzvkKGiKaKunWzHdPsZGAr4wZev4gUfewNd+3bkk9blny8/5ghVRdz0F14VrK0w+OhYvP5KKpEg/P3voMxMEb/oJbB0NUAxYNPSVRB+kMkuytfCQR0WR0325oUMsq5k42Bofu8uQdfm97yOK4sE93BA5XebKmzK+esKXTvnevRYRvG7FggkkLEdxuJZBqMBXE9WZaDTFX+MqEQrq/ag7mfsS2QdtDIyavVVXsmxou1jZIQz3/pqpu0cqhC8pX+ICdfjJ6k5/phJkZaSXffdzBUXHcpFn/gJz9ADBNqYR83tTzC2fQe3PTrL4nMP5eFtEwwNxbA1DVQV09Toyz97wW6rKwJNFUynsziepNvS8qRn6LMMEjmXkblMkRxc3h4qPflMihlXsmd2vg/4iv3z5+fyKr2lZEtVAUMVZG2JkZ8XQn+8wRepaAN7fnQ1ZByGo2bdc1wJThU5eJ4Qm7zgHBgpZ0l6X/wqymlnzf+dv1bxJxsGgtX3k/hjsanNrxX9pZNAYZ6hrwjBtqkUiyImIUMhoPrBL64nSZ94OuZdt7Q/9lzwHEJDQ3liffnzlcJ2y+tXWX+oJkU6HhgqjKdy6Hn/l/Xu9+EEdOzvfLNmdQpF7Pz4F2H9kayTHiFNQ4j5Na0Qvu1ZQFVmCPDX3K4icVxfUdiT/vqkQHAW+PYAgR/4UiihtPp7dm2vWb9GeNG5p3DldbeTtj2fkKz53sHKtmysYFypNCzos2pnFSoNvun//lc5/Nqf5Y9XnudDAive9komvvFDenv6OTqgcd+uGQAezWd8uurBUVb1h4kEdabSLpOzabbsK/eHLeq22Ni3H3WP0lZ/6/NyrB+OEk9k2bJ3llVDEbI5F9v1uDfvDxzuCWLqgj57mutvupeArtETC7Fq1VLSZg/24l4iXWFmZlK4iobuLmy/eE8uy825DA9kM7wn1lNla854HqOf+yYcdhSrpWRNr8mOmQzjCZuLNg7wowdGWNYVYGmXSTzj0BfS6TJ1cq6fnbM/pD9pogyqonDoUIyVvWEeHZllf9wf76d/exM9lz0Xo06wRPE7VTV/fr/yF3zqPa9v795qhx3cQQcddNBBBx38Y6NDEO6ggw4WDCF8o5Xj+emqIgGNqbxRV+I7TOJZh+VdQQylPE1z2vZJPsKTTZXuHA9MTSNl5/jz1hnAV0c5ejiCgqQnqDckB2sKuBU30RSVFV1BJtNZwoZOPGsTzzhFdZFKh1n4+BNI/vBKgi97Ud37uMEw4s+3kXVdAmppCk9ZNOakbJehiFFTgagr5au2NjM8CHyS8Evf/lx+/MXfcfhgiOFoAMfzo+BDhoLEN8YUnAiGqiAMjdG5LCMJh1OWxegP6ijCN0L+bvdEzbR5YUPhpGUxgLqqweA7hAOaQjzrsqbXyhui/eMTSbvm867oNtkx7TsswkGD/rDB0cu7OHNdH9MZh6OGYyzptvDTmqYZiPkEl3TG4w8P7S+/v/RY02txxooegrrf9roKtguJnEMkoDKbaU7M3T+XJWm7LI5YpG+6oTk5uADHJnnJCwj9/NdoisKSqMX+uXSVwX0yZR+watGTDVdCvI4yRgc+nq50w6ipoQhBzvVIZJ0yp4P7ZFntOmgI24PeoE8cKUyBtiuLJLNKx0OtQIaFOF4DLaSQbIzy/pKeal+1wnuSlDmVFil6S2PW0/djbYBW1dBqwcPvUyOJLENh42mbDq/L1PyUmZ4skgHqiFwtGKoi6AvqHL80giIE1z0xRbYNsrhep0ISf32hCFGmIOx5kqChkKyhOLS8P8wre0Mks85BIQgXkHE8rn9klFPW9Nb8/cSVPaxbFKn52/LhGO+66Ag++8sHi8dyjiRq6WiqYOvoHN0hg+mS8ejwQxexOzW/PrAMFaEK9ieq13ireiz2z2XZVYukfZDetTr395ftYCFD0tP0M14Qtpz8LLac/Cys6XEWPXYfqpNjbPVhzA6v+FtX7e+yoZ/MKpu6kidT1bhpKYOv5Hc/JXU+ZXAdlM5Lyd//uiE5uPQWF//XW/hug+DYBsJ4LWPbRIonJlJ5JVBfEfDI4Sjgr6veecZKdk6nuX7LJI+PJ4kEVAbDAWIBDceQnLg0yp274nVT0Z+9qstXI3U9lvz2Ht5//mFt1S8S66bbqm/zAH8N4Ujp2z88iedJ/uWSc9m15XEkEjMY5mPf/w3LVq7D1CsVSA8MhXdbWMN87BXPrXneEbrBl7v7sZTqfmLmj51nBfO2BFEsuJIEfnzA5JrBJVwxN8N3U/UDW3/0tc/xwte+vaora8IPos799Ef0f/UzZc+vx2ewLjyDFMD7P0zXxS+hN2gwlfLnu1LV/kTWIWZqxDMOA3lycL22LB6XHslTjsG49a+oQil7NtfzCGiCeNZhZG6eUKYIX2U0HNBayk4igR0zWR6qCPodCutVhJ12MnQU7EwgSdhfBHIAAQAASURBVNsHZ6EtgdkPfBz1g0kid99RfFei4hwANxQi/YebUYHJdLZszTwQCmA0TZsjEUKiCqVo8+sJGg0zjGVyHqE8cdDPJFFaJ0HOKZCxWvuKpprZWg7S/iWgKvSUkD01RVDcIuarqubHu8kjNiz4Ps1I3aXnAfQNdjORt1NG899OIxzofubDR53G7ffeQlAIlqgauhCMuy5jnsua9Yfw2zrk4NI6l6Lrkx8ieuM1CKCgS9h99W8AsHt6yf36OlxJQ5ufTwKEdX1BHhxJMp60OWlpjETOJp1ziZk6KdspEoRtT5LL2xASWZfz1/dww9ZpMnUCHmbSLnfv8YlopYSwYxZHOXwwRFBXUBSFmUz5+FDYmy2OlgcXFkrQFZUjh2I4nmTfXIrptENQV7B0lcmUTSqvvh01BW5eGKTW6yu1gShC8NwvvZfeTQ/iSkmPohbHxKii8i+RLv4l0sXlM5PcnvO/019efinvHVgMNeaRmu2dfwbjO1/lBe/9AGo4wKqV/fzl/l0867TVXHjYMEFdIWk7jCay9AUNogGd7dOpvBJ3rkp9fEnUwtQ1+kJGFTkYfD/Gqh4/jCFje4T7VcaSPsEtGtAIaEpRdMWVYLsequIHf7mexM4HpWqKKCeH9vbCZG3RkVL46plGMfCu0TopoIk8d37+OUxNYeKCc2F37YDv9Nvf5P/j5r8SCoerArjr2TM8Wf+bllKiqaJINt4/l6EnqDOdShEJaKzqCcJnv4R32jEo0mt93fKe9/uZLvL3D2j+Pj7r+H4pTSknt9qeV2Vx0hSq1HFLkc6Ls6Rsl6zj+gTzl76e2KvfjPiPD2Jd+4eyde1jl74B56WvZDCsowiBJkpJ47J4z0Yxd75fzX+mWkRcPyhg/nhAEyiKKAYWL9RmuOnRefuBJ2E267BrOsWq3hBaXqRAVWgoyNNqLIrEDxIp4Jg65OBSFN5d7+tfRu6Ka1Asg2dsHOSBHdNM5m0bEvjWrTt48YlLeWIyw/U3b2ZZX5BVg+F8/fyAqdUT7bWRAFQJfVET23EZm82wZlGUh3ZOs3LQt8sYmsiL5AhyEk46YhXT8RRziQwilyHYG+DZr30hSHhk8xg3n3MZz/rjt9uqB4ADxTHzZ5kUP8v47XiyMNgkc8wA51z0T7zxsKP8ugtBj6VzxGAUV0riWYdnre0hY/vZOrtMDceVTCRzKMIPColnHbKOLM6FB7qXeOz0M9hwy81lxyxd5ajF3YzNjeBKWNEdRL/mBtIP3Ev2Vf9UlUlAAuNveheZF7yEdbrKP730Uv7rvW9oS4jj9a9vj1DcQQcddNBBBx108PeGDkG4gw46OCCUbv4WRc0iQbiApTGrihxcgO1Kn4AhZVWkeiXmsg637Zwu+dvl5u0zHNIf5KhFsYZGE8gbpyo2g5qiMBjyDZ+9QcNPHZjPprY/kSk6XkL59H4TfUvgj3dBMsnif74YZXYGFJXksScz9ZH/9gvNK3Ss7wuRdT0sTUMAfcGAr9qCT26+YdtMmRrIRW9+tl/Pxo8x/zxAwMnxnMmHSa46rSztZzJviA6WOGcLhDNPwmNjSTaNJXnBof0siVq4eJy0LMaWiRSPTZQrmZy1qrtYnt9mIq8ArfLoaJK+kI6iCHZMpxlLtK6Mq+CTdwqwJZyyppcjl3cxm3XosjQWd1nFFhmMWUXjnKYIDE1BU2Bxd5DDV/Qwlspx7pIuogEVXVWwXY8btk0XVZ3SeYNGUG+e+jGecegLuvCut7T8PABsnU9HpQhBfyiAK2VVqlbtYLOgDiJc1+PGTePsa0NppoOnDyrH31K0o+bWwcHFZMpGE77CayVUAd1BveigrqVy3q6POKApaAdB2asnqDOXsQkHNC6//I0LKmNiYoK+vr4DrkvM1FAV39HYSoBFSFeJmfpBU8d7KjFne4R1ZYFqiJKRhM1j4yniWZd1veaCycZPFlZ0B7FUhU0T5Q7pjONhaQrpgzhWHT4YJJ6yiVo6p63o4r59c81JGXlYerVqiO36ju6c42FXrClzrsd3btnJkUtjPLpvDkNVeOZhAxj5cjbvn2P1UBhDU4pEkoOF27dMMhwrV2k6ZFGEY1d2173G9iSHrO5jWX+4TEn4kd0zrBgIs2MsgaYqZUp7lWNYKGgwUmftZ7uyrmLQeCLH0ligYarbDv6+IGR77zLd3c+2kxegAP0kotMby5Gxm2f6WQjKyMMfurylawqO/kvf/SJ+8pkra55zMBSEN40n2FSi6jkcDRQJwuCTQtf0hVjaZXH9lgn2zKTJupJkzuPQgRB74xmOHg5zx65ZEjmPpTFfCW0kkaPb0osBQEtiAXqs/rbr9+2bHmlKDHU9yc07/OCJb1x6DE6ufE+XmpvlXS88C4CP/+D3rDv8mOJvzV73hiGfNFFKcFnSG8SlQOCF4d4QqiIYTeR48MF7qsrQgM9299UkB5eioMrf7ByAN0e6SErJz9O1097/4Uf/w//74L+TzNlsmfTfb3/IJ/tq73wzXffdVfZcVfjPD5O84zZCn/kiMdOX7C6lvNmer7gb/t7XimSvViAzaTZPJFEErOkNoSv+eiHrSB4dj9MXMsoyM1m6yvKYT2QcCgeYydgYmgISXCkZncti5zMc+KqD8MhoNXG6SNjZvRW6ByEcbjk7ztKYhSaUYuaH+ZTnB4Zdv/gzAFMf+zxTiQRL/uk5qNl0WZ/0hGD3l74Ha9ZDnT1vNKA1tStqCjw86gdrHT4YLY5zhip8BUYPkhWB8SOJLIPhAI7nt205MXr+362++3X9QfbXCKAvLVFXBSu6g4zMZarsSZ4n2TuXYlHYajj2qYqosg+UZvHqCeoMhUxSxx7aYs0PHLmBoTIR3+aE7vpEQ2g+9n/n1WeSnvWzR6SkZLNT3h5bHt/EocNhHt3XWvasJc8/AzXrkzwr7ywBfWoS7YyjfbtxE+zO29z6QxpLYgaRgEpf0MDL28c3T8wHFRa+0UJvy9gepy3vQlcFGUcynsxhagoDYf/6mYzDljyH1JIej++fYyhmsiioMRQ2SdoOe+OZEgX88g+nUbMW9tcxU0dTBONJnxhcQOlePZlziZlaVSr64ajhB80A2kc/SO+mB0FKtBo3Dubni0919/Le6UnuzM9rsoV5ohIvHH2I8z/9A57/sos47NAlfPmNpxLPC0p4HnSZOkFNRQgFSQlhtGaQqahJDJ7/1X9vivDVm1WhsKo7RNr2M65Ujp264q8zJAUyv/90Mk+2lNK3JSvX3crcacdBsvacN6+eqbLnt7cUj8cCOqrwv6eCqryXF2wRUBZIK4DJc06H8bH6jVnAGcfj3XkP4VDYv3cJs7bAOS6o0xfuYLvVBFwpJVnXZXQuh6oIeoI6yZxTVG6PZx3u3x9HVwSxm+/BOut4lBJV1dK1SbFf/OEGQkNDZdUtkHANTZBzJJ4ri3v8wt7V9Wqo34r5QLhaUBB0mTpTyVxRBCfnSUYSObou/yipyz/KXNZFFYLrt+V9W3vnWNNr8czVPTXHuVb6t6b4/o9W4Ac3S0xNIBVJ2j5wYRApJeOJLFlXsmksgaYIVvYECWkq9fQCGikLV+L6rZPFvnnhx3xSeivtUjhn6IE7GDnyZGYdyZqlXazJOdy1zRc/2LAoyoOjSXoU2L4/zvaKMr538ydYtMAEkOvX9jM9meSsUICBLgspIGRoPLE/znFr+rj9sXF+dNPH6HPKv2P5APz8ma/iJ1fDqUcvYXAoyu4zL4A/frvlYBzw38s16SS13vAd0l8HnPas5/DGD/m+zMIYPZW2mUrbhHWVP22dJut4PHNNN56UZcrbmiLKMxy87J/p+2Fttex24OzdC1RnbVIEDEVNMrbLqv6wv9Y953R2PvAYN22bwpOSiZSNlJINfZa/j5CwZTJJ0FB55sUv408//0HL9bjiiisO+Fk66KCDDjrooIMOns7oEIQ76KCDA4Ii5jeSK3vDxDM2u/NqYcu7LSyt8TBTMMSggfR8A1rOlUVngyp8EoOp++q0pXjmmh7W9IaakoMdDyxD4OSqLTl+2q6CcUIUo+qHwiaq4qszZGy3XOU4FGLvj69ueM/HJ/xN/vq+EJqiIoD+oIkAds4mOWIozP375nAkrPvBF4g2LK0+ev/93fTc+QAKgp0z6YpfhR8hK4QfwV0waOV//f1j47z+hKU8NuYbw1f2mDw2kUJXBacsjxE21CI52NJVds1k2DSWZChisDfuGxR2LDB9twdsnUyzptdiy2SaJd0WmydS7HlsksvPXkVf2KDU9FFqCAkGVCxT47wjFpETSlG5Lmk7OFIiHY8v3rGrppPzzJVdLSmQtOokq0Ty978m9JwXAL7BPGpq7J5Nlzlinq4EhJHpNNc+OsZofOHpbhUBg1GzTIlAFrV1Gj95wWjslShXePkxoXDMVyIQeWN7/qr8NYoiiAZ8x2ojJ1K9XyqN05XHlBIHRKgGcezpjozj0W35Cj1tiGh2cLBQx5vgSooKSvXQznCkCsHiqHkQiDK+Q1kVMJ12mJ1urlJTC1vu/yt9557f9DxNgS5Lx/V84oKRV7EpqLhOp522VLCXdlvtZsh9WsCVsGPKTzWrCDh1eQxVESRyLhFDIaAqWPk0vJX9Rkq4e2+i6JTdF8+yvs+qdZunHIYqGIqYBHUVBVGcF0qRcyVB3Vc6q1RAXwhsx+XqB0dY3BvG0AUnLO9mVY/F1N76Cr4Cf024cTBESK+9fq3nzNIUwa6pNLum5tdik8kcawdDJDIuD+6ZZdlei5ipMV5DcbddqApcdMwwk4kc9+6cLfuty9I5c30fSgsE3I++5kQ+8cO7eXzvfBnDPUF2jCWYSmSxDLVIJjIrymukwtJoCErZHq6ExjqYzSGFQPy9feh/Z9VtFf8Ij/V0XZ//oyKZaI2MVQozXf+agxEMU7lXqdevA5qCpak8Nu6TTTcOBNk5kybnejie5KRlsSK5J5lzWd8f9FW3PFnMrqMK+P7tT/CKU9a2VLfTLryopfMKXP0rLmpO+PvAy5/Dez73bU48+7zisS2bHuTyy84vW3yeduFFvPL9n+Wxker27+0JkqmYrw0VHh1L1Wy/s00L7Un42t4d7a5LEM7ZNkhf8ezIoSiO5+9Zp3/9K8LNyMEF3HAtyRuvJ3TWM/zzhUQVlO2pen78nbbrvegVz2f/93/DaCKLoSrFAOpIQC0LGhTAQNgo9nOBoKckFbcQPjk8mXNR8kSyx8ZTVST/i//1JYTnZqrq4SFIfPprcNhRKEA985qq+CQ2I5/qvaimeMhG2PRI288PoN56NyRK7HzhMHt+c2PZOboisFvYB7TSs0qLEcIPXN82mcDU1aKSbanqbqHMiVSWwbCJQGDXGR18lWd/PLJ0NU/g9lX4CgTDpTETVVEw1/oqqariv88CGUZVBIYKiqISNjR6gwZz2XI7n6oIJlM2fUGXrjxpvRKuJ2nGvwqoCqk6JMNWIUv+26j9Zf5/9pV/QBXCFxoQAk9K+kJGxZkgye+d84X2Bv0MF7Yri8OTzNuJLtzgZ9IQMN9PJLz5onOK5OBmKJCEVYUykvmhA5GinSrzrLOQ2WxzhXBg2XknkrjpXhRFoJAfmwsEybxKasyc32t4EpZ0WQgEiayNpigE4yqz+T5Zq/u7UuLmo/f6Q36fLWR9ixjz9irN0OgLGxy7vJu0J5lMZ/39fb7ssNGebcuTHtMZm5G5bJkoRT3MZhx6g3oxawzME24FsOT2a/1/N5nHTaHw8a5enjW2F8HCHJoaLueefiQfeukJXPfYCN+5YxfhgMYxy2JEggbxrMOSmEU0IMg4fvsYqqi5L41nckQCelEt1XFlcQy3PY/dM2l6LZ1uy/CzJ+aft5IsHdCEb2sUkKqRiaYUhXqEbrmb5I9+AJ/+z6pzBKC86rVE3vEeotLfczmuh6YKHJey+V1V/LoUlKgLxM3Eli2tkYPzSJ90LMq9m5qepyjw0Ei87JgqfGK0oYqiHcP1JFMpm56gjlrRL2zPn8/D196JOzpK38tfgOLMj8pCKIjv/ojg4Uc2rIsmBLmSsTxte2WBsWnbK3v3uqKQrkPEVRWYyTjsqvDJJLIu9+6bK3vfK7rLg3o3DoRRlfJv0NAEhqrQHTIYi2cbKvFW2sjUfP9qNGPanmQ0kWF0gTYJUSJGkHadssyJjid5YmJ+XlkUMekNGijCH1s1VbRMDgY4d3Uvu2YyJHIu/fu2tV3XZ3/9w3wvn4HEkYCucfbGQTbtmSEYNMhJuOHu7WxYHCNsadydj6z42Y0focv1/V0LWbV2BwMs6glimgbprE0q6zA6keCbd3+RoT/vp3TWqyz/xdd+lxeJ7/OzY3/Nzsk0XZbBaP9SBsdrq3lXQkpJXHp8tsZ6D2BwcIivf+dHHHrMiSBkPtAMHh6d/zYTtsvxi0LcsivOtVt8Qnt/yA8KOXFptDh/FJB82evo+dG3Ubw2lL1rIR8QUlhTzH/XgqOXdON6sszWvbwnyCt65rMAJHM28bTN/fviTKZskjmXzRNp1rz0cu67737GtzzUtAr33FMd4NhBBx100EEHHXTwj4YOQbiDDjo4IAjhE3sKIgGresNFgnAy5xLMK+g2MvZ5+VDy0lTNhWj6bdMprt0yxaWHDxAqIawCrOoJVhmLyuqW/6/Ej4yveW8PHFH9m8A3GB2o6mbSdoka8wrKnpQsiwWZy85x/BI/vdCKW35fVt9WUTAwhgwDKSWre0JkXZd98YxvEJKSrCu5Y9ds2TWLowHGkzku2jjIyFwWU/NVYDKOx4puk42DIVI5l1TORVcEWybTbJueJwIXyMEHAyNzWYYiBpsnUkQDKuv6g/SGysnBhXoXXAUTGQcMnf1pF5jvDw/sTbC22+KuPXMsihjsq1BlURXRMK1aKeTc3MKMGp//b6wXXkTO8YpGr14rQNjQ2D2TxvYkiiLotmpMvwJmU05dh9yTCdf1eGhPvCVysABffSRm0hcx6A7qhE0Ny9AwNKUlQtI/AiIBFVURzLSoRvl0wHTaKdY7lXMPmID3jwhTUzB1BU9K5jLuAZGeeoI6adtFEaJs7moX7QQs9IZ0AurBI7AXusjy9RsZ39eaQboUR5xyZtNzeoI68YxTRnhtIIbdEgKK0jR46OkCPx04PDqaJJlziwopnoRbdszP37oiiJoqJy6NIkvVtqS/1hhJ2GWKTboi2NAXImG77J3N/M0IfEORAD2mXuZIqkcsTdkuKdtFERAOqCSyC/tupJRc98gYW8aSdHUHiWcEf3i8Ocn9pGUxjlm00JAtUVxPFTA2l2Vsbn5e3TlZGci1cJiayrqhCFlXcszKHn5y5/z3+byjFxFukoa+ANuTzFUoUhbWzIct6+KBHdPF460mQFBFbTX0UriuBwc4Vu3+0KdY/pH3tXmV/xCO97cZIJ767/DgrckKmVDq3SGQj0Qs3X8V0rMWgr2e3quOv7/1a61gi78bXPqCtk6vVJJ6MlC53nJcj8lklt5QoOrcRVGd52zoxcmTMkvXea4nffJk6d9SkrLdotqgK8EKhvjOrZt59WnrGtbrgstez6vf9+HWHkIKvn7pMc3Py+PT73wNP79/H4lEgkuOql2PW6/6Jbde9Ut6jn42a19crvo8NpFkxXCUqfT88zf6ki4NRgi1mBK+VQghUKTkRWaIKzPVZMelS5cDMBAOFIl/ihAMf+ajTetbhne9BfIEKFVROGwwiu1JdEUwmcq1pR5cgD42AlBGtAiVkPW6LA3Pg6ChEA3oPrmrBuJZm/0l6w0JRQI7AIkEr3rfi4p/VtZTQbL8PW8gfdyJ2J+5guka+1tDFf4eQ/hzqOP684KlKRg/+QXTRx7S+oMD5he/SvjsZyClZJCMP1/gf4cSkJ7EzRMzW99zN38DnvQJkYmcv8/zbReiSA6G2ll5+kI6Y8kssUBtQi5A0ND8vZOUzGUdyPpZUAo9PhJQiRo6CMHaXt8epKt+UGRp1pOpTJb98Sxjc7mqcU/Jk+kEvtJfQK3v1mnWGp6UcO6pTc5qjrE3vYfBr34aqCYKlxKId/3xTmgSGNsIfUG9YcakSux9oj3S+reu+DzPftnryThu8UFWd4dRhJKXVB1vS7ky/ZMfolxyGctjwSp7+GQ6W/zu+0I6QU1hIpFDIPnxX/dw1LIudK353qkeFCGK5MaEIwnFgkTDft8dT+bKlB9NXcHQlKZtW0oMLiBsqFiGhsi/6UTWLe6FgvmMOI4nEYKiPV8AqfycGf7e18rarBlU4MyAxYP2wkUNznz2qfzrLx/ixDW97JxKc+SSKJ4iiGf997FnNk3M1IrvJ6Ap5FyXqKnhuBLbdQkaGpOpHNun6+/tDh+K4nnkifp++5Sq17qur95bUHW1WiBblyJ02cuxXvVK0jmvjHRs6UrxO0zb/r4sbGk1SZmu5/tz5revElMXJF/yvLbqUrhvPeLnH3/zc9771tfh5hV/l65ez2evvMGvgwTX8cg4/pxXOtZPpWxMTSGgijKFY/BJ2PrgIKNX30a3ZdBt6ahCaVnZPmV7BHWlTP0653iYeZKwBFRVoEuJpilVatECn+yqKT7hNWLoHLnI8PeYEjKOy33756rI/VqFvTxUg6A/EDXR8/ae/kiA/bPpmur4ClTZdFVVIB2JoQkURRTjLLLOfGYQgVgwORjgPz/vf7eelOxpIhqzfy7D/rmCWrpOLKCjawqGohbnvUKmykoI4Pptk2U2roX4zQbDRtnzxh3JsWv6CBkqM7MZHtnuKwo/4/BFnHHIACs23bVgcrD/NUs2bZ/AcTxOPHIxxzHNmR+/rKqsRvtqVXq8+F0v4BufuJKH98U5+Rs/pvviszBcByllXUEIKSWTnsvLJ0eZq5g3rrr2Op5x1jkAjMczZba2rFu+xnps2wTX3rOHjccsK9ZqPGljarUJ3ooA+9Z70c84HsWxF7yrDj3j7PlnqfG7WsffVNgnhgydoK5x3c07ARgM6wxHDYK6yluv+BU/+9y/88gff1JThaO3t5e7776bFStWLLD2HXTQQQcddNBBB38/6BCEO+iggwNGqYpwxNQ5bFGUh/fHmUjmmEjmsHSFZV3BuinPs46vEFxr+9cbNLho4wDUIFgZqlK1p1MFCAU0oaAIScbxDVz1MidJqEonBWBLj5EDVHizdIW5rFPmRBBCMJbKFI2ji55zmn98gfeQgCs93xCmqZiaSrBXZfNEkqzrcceueNX5e+NZDukPoinwq0fHWdZlsawrQEhXOG5JhMmkTVBXEQI2jSXLyMEHG8mch656+X+7HD0cq0kmL7zmqWSOrVNpeoPzaVp9ArrvtPrxg6OkbI/VvdWqia4nSeRTtzfCmp4gzo4dC3ugbLbKWKIIgaVpdFs6s1mHyQZOkaipYagKyZzjq5Q8RQw3RREks9UfyVA0wJJui75IgN6wQdTSMA0V9SA7dv8eUXCqRE2VSqfi0xmlzqCAKgjm0ylWKgD8X0XO8VM+Zl3Pd2Tpal7RK69ULXyHVqqO08HSFUKGRsp223JgNkKr7sDBcIBeyzgoKnqV+NfPfZtLjhpu+7rhnmiZokgl+kJ6UwXlheGpoBIdOKSEqbTLgzVU+Sphe5LJlMNjE74aEUDEUJjKOIwlbUCyvNtkfzxLzpX0BHUUoRALqIT7NVwpyTkerpT86YlJjh6ONFSjORgYjgboCrTfJ/2sB4LeEgW3WgulnONVpV0GmJjL8si+OVb3h5Cy9XsbqrKg70cAt22deMrmbICwqebr6vfzFxyzqEii2R3PkZzKVH0GhUebT/EqsQyFF55/WEXpkmOPX8nU/mlmS8YxJ5XFnvD7qgCuuyVeLPOYjcMkJawdjuHmSaGFtSRiPqit8P/75/xUyKX1Kt49P9YCLO8266T1BU4+M1/b1tbREshe8W0y6eyChof+kF5Twa0dLETdfaFZLQCQ5So+9Yg7LRVVQfCtdOKfsjzWQhk+8Us0G6JF+T9lacVl1Sl10R/S6QuaNX+rLlKS81x2TqeY/3hKQxSrqlC70Bp/BjSlihBQrwyB37alawhZ8lspplI2wxGLAt+93nnNqlvrfF0VZcG7Bx2TC8tMQCIB4XDVYceTaHlzgu+cn/f9Vj6FKP2vmP93JcliPGlz/944a3uCZW21fcYP6GlnPHC92inKw+EwP79/HyMjI7zjwuPxSvIxP/9Vb+Htl38YRfGDpxMtBJtlMmncXHt79w+97hI2/fW2pudN3XcNm9IJvvr9nxCx9OLYnXE87t01W2zLnpBB1pVEg1HiqXJbxNBBDGKrxCsj0ZoE4f/97fU4HuiKWnyPiWRiQYTeAgQ+oUogcDzoCRrEm17VHH0hg+lULv9vvfje41mfeLeiK1TVn1UF9s6Wk9T2VQR0F8jB9Z63MNJZd99F9iufh9e8teqcnCvZMpng6MUxpBQoiq+IXdwT3fxXOOP45g/5jncTeuU/A/NZGfqC1SR8T3psGm9fabwUQsyTSaSUZBwXXVVY3m0xEs+gIED6+7ek3fz72jObIdSnoRVtIeVhGuk6ZRSIbRnHQ1VFGdGrkiCcc11y+fVkrSHG0lW6TYMe0zjwnY4QkFu4zbMw1hoveSnWP7+G3Ec+iP3bX1adc8fzX8vmZ7+Ys2sV0ub9WsUXPlDdh5vhMx/7ICdd/JqyY0LxCfHZl1/aVnp3gP6vfpbZl/xTzb1F6RHXA4Rg92yKrO0x3B9i1nbpKRku211/hgOqvy6TUGi5Qj3msi59IaMYzJe2vSKBtyDesXki4a/7pN/LNUVBV0WVzSiec8vImGYJqdnS1aJqcMbxsDT//r1BnYn88XaV10OKwouCYR6YzeLSvlNzcv2RDHSHeEl/lBzw4oFwcbFQsC8barltT1cVAppXdmw24wfe14MqavLPisjVWF/ZCwhedPODia4qSOkrGGdsn9xa+i7qIaApOPkyDFUg8a9fSCqmiVOPp++2v5bZw7/4Xx/ha5//76pzd299nEuOGiZgBvnhnVuKx2sJwEj8cTyoCExdLa6PPQlDERNDUQjoSrFNM7aHrgoct3kYXcr2ynxBknkbvBBgOxJdFaQrlJ0F/tidc2XZ2s4nEfvPYGoaK7tN+kM6qiKYy7qkHY97ds+vFkKGb2usxP6ZDAFNoCoCU1NrkoML9Q1ofj0CmlKcyz1kkXjuZzvwfUaF58qUrDUvffP7+MkV/9WkpcrxwhdfhifB1AS9IYOxRLalMWo8aTOet/0FNMFQ2ERXBY+MpVAFHDIQKdpuhIAtk0keHj0wlXuAZM7/Xgt2o2VdJntmMvRYkoc27ePEtf2oCkzMZXh09wwf+PM3/Dos8H43LDuO+264maNPOJZdV/6O03/1ubbLE+RJwp95M7/7t68jheCu/72eY95+Ke7+3ZiKn3ugNCR8xvP49Nw0f86kqbUaOeesc4rfRH/UJJDKFf1TpdmzHnhslO9e+ziLe0MoEkrNaaamlgWsWLrC4qiJoajoqsIDv7+V5eed2MaTlmPlN77R1vmFPl/a/UrJ5qamsnNmnuz9mvd9nBO/8hV233MDX/vKl0mlkqxds4ZvfetbmGZtm0EHHXTQQQcddNDBPyI6BOEOOujgoEBXoMDRGI6a7JtJ4yFJ5hUEZEl6uFoQVKfaAggb/jClCDhvXS9/3Ow7EwdDem36jwDHBQePoC7wJGRt2dRYUZU+Sih1o5hbRchQmUjahIws0XzqMcfzSOfcYtp0wzlwYpTjyZoibCNztcseDBsMhnVG5jIc0h/i/v0JnphIceGGXuYyDj1BnSsfbi0V34EiElCLBrWBsMFUunadC+86HNDIOS4RQ+POx8eZyJO4//n05Qx3Wzw2kcbxJGNzWRTyRtESb/5U0ibcZRS9/FL6hnIJrOq2COq+eSWwZg0LMkOtra8A1R8y6bY8Hp+o7+gqNToH20z1dyDQVYWLj1/CA7tn6AnlicC6ilrDWNlBOeIZf+DrtjRyrjwgpdinGllXkk35fa7b0mqqRf2jozdkYDu+E0Hkx4SCI0tKP3AhWcO82mVpqPlUkMmcWyTCTSRt0vbBU1kv1KMVRALak0IOLkI08XRVINzVzUx+TsnYLrbrO1hMXWU6ZRfb62Bjacw6oLn7qUTOlS2Rg0uxbTLNlGkjkYR0lWMXRzlxaReu55F1PTK26xOlVIGLR0TXSWQlW6dSPqlzi6+Qcs3mKU5f0YWmLsgH2BSLIgsjBxfQatBCX8hgJm2XvfO7t08DsKw/RLzFIfnQgRDreoPNT6wFASet6uWaR0bZ1UBJ6mDivMOGygjJZn69bGoKu3bPtVxOT1Bnuk5bW5ZBf9TMqw9JZhNZto3ULntocQ9jaYfe7mDTlNbtoDINayVG3vZvDH3pk01JGxJwNYORVYfC3MJUx/SDQGx7Mofoejes/LwP1ue+kHGjENjn/9HaNYqoSHdfILq3cK2mqHXHIFH1b4HrOvm9YKH0g9Nauifrz0uJBEsuPR/FyeXvKEj+52fwjqlWdaxXmwN9x7XOF7V32gcPoSBkFxCEWoMcXECrMRplb7fBI564NMa63uD8VlL6fbHb0msGp7R219oYGhrip/dUZ2oo3RvHTI0tU2n6gnrxA6zs35e/5Jw260VL5OAC4o/dRiSoFwOMBPCzu3aza2p+7jtuRTeL+kJsvPyn3PHv55dd/2SF0QghiNQYVIRQsKzqwGH5qY+3fQ8J7P3KF9Ff9Tq6LAOjJCV4PfJOu8g6Lt1BP3iuco08HDWLvagQb2BLj+2TaUq55xLYPJFXD7ZtXvmO5wDNh9zCFx/72Q+YrUEQNlTBIQNR0rlKKoaPUDgM924i+cZXwV/uqr5BKETolrub1OLAkHVcknJ+TaMpgh111mWqgMn0LAD9IYNAIWgp/3u9oK/t0ylW94RQhOAH9+9jNjM/Fhw9HKHLLF8rlK5nbVfm08HPv42MPa/q6EqPHdMpYmbtLBBBQ2Vx1CwGGy10SaEIWNUTQlUEC1kRlY6h6VvuY0nIX6sp//4RdrzpX5nOOKRyLnNZF0NTsF2PYcDSfAXqXLEdFnbfVnDrVb9sflILeGTUX/cue/ShtsldAEPhavJ7JabTNq70mEnZPDqeLhLoTl8RqwouahVKYb1VGglTgolkrihaoQiazmk516XPqFbPrlQ21hRBl6miqdVqsgFNJe04B7yy6FNUZjwPR0q0NhfWN539Ek5VFTYsibJrNsuumQy267E3nvVVORWFwwZDGKqffc7SVTSldsBUoy48EA60tU5WhJ/9R1cEOcdDU5Wy7HeeBCEkjit9oRR8AQzHkz6xV3p+VsfSyaDk+noK1K7n+Wqu+GORWgiYaL3q84iXh8n869tey++u/GnDS7KZFJccNczP79+HKvwxbipll/WR0oBm25P0BXUCukLUMIpjoSoEoiRgw3ZlVWafekjbXn78n1dlTdu+aIAjffuVKny1YCUf4VgkUjdAxnWYzTj0hQyWdFncvXuGsK7wjNXdDIYD5FxJJKASM3U0RWC7XnEd63oSKQVzGZe5mlRPH6buqx0H1Nr10RR4eDSOK+H/s3feYZId1dn/Vd3Qt+Pk2dmsTVrlLESQQAIkJCGRgwGDwNiYDDY2YMBgMGB/2CSDESYHEUwwIIQQiCCCJATKcbVRmyfHjjfV90d193SentmgBfp9nt2ZubFu3boVznnPe1IRk4gpmci6VW33ua9686IIwk957l+ydXyOzQNJFIJexybj+lhSknRMDs7mkUIQtw1SEYuM5zPaQHyn4Ct2T8+Pz4GC+0fmWN8bYybn838PjBKiv4tThuLlpr3YQA0FpN2Qkwbj+KHO5nFgNk8I3PfAAW66b7jq+MdvHkT8dGnja4mc/S/uSpZns2SyGd68BHJwJfrGDnLlp97GPe+7mj0zBYb/9Yuk0wW+9pdncaJl4wjJTBhwn+e2aCnQ29ddty0WMasEbLKzef7rB/exo2jveXj/DHuvv5/HnDDI2jV9eLbFdN7nd3tnOf+4LoJQsa47Xl6LKBTJiFmui8U+s0gmG2+ncbBn49koZXvciQMxjutxOGEgxr3DaRQwlfdZlnQ4+1nP4VnPeg4R41Gwz3TQQQcddNBBBx0cA+gQhDvooIPDAiHmCb62qVPYT2Y8DCnojVrsn82zLBHBMWRVmukScl6IbYqGkfSmAWEIm3rjxE422DOdY99M4whlS4qyMS/jhjiWLCo+amNJpKhaEITFiPCilSFqy4ZR4YcDB2YLHKgxvQu0KszhuM9YxiXvh0znfZK2QRDOO+waYVNfFCE0SevhMe0U2dgXLad5m8x6DMStsmH6SGK2ELCxL0beC9g3W+BnW8fxQ8VjVncTteadK6XFv2VoI1/adTl1TTe/fHAUgM/9ZjcXbu7HjkXK5L4NvVF2TFY7hHZM5uq2lXAT0+V7XXp8P0NLeJ74F75OxKw25lYiVILThurTlx+Kkbwl976CHF3p3faLaW7Trk/eDcuKOSev6jqEkvx5o0Su7YtZZNzgqCpJHg4caSXRYxUTGZeIKTClWe472kFtmttm6RSPFmKWxD7Cyt7//vUf8/YXXdr28f99/R+A6jS9XqjKSmOO2TwN5VJhCOiKWH8E2sGHhhLxOuWYPDiW4d6RNGcuT3HiYIzpnM9EpqBJHo7JTCHgG/cepDdmsmtynoylgJt3T3P+um7aaTlS6GHENiWGFKQiFgnbIAhVUR3fLd9zRdLR6XiPAsYzLjHLwDEh7Qa4XsCDB+YYSkVIL4K/NZH1iJhLI4AqBZOZwlEjBwP8ftcUzz57RZ3i5WKRb6GYF++J84ft4+W/H3v8QPn3C09foYOIlE5lujvrgRA4UuAdRoL+Qs71wtOfzcTwPvq+fU1DNdTStsC02Xfdbw6pLI+W7yhiyiWQEf90IBYZnFKJZmlIjzYakpTTadY87ykN0s0qku/4e5LAnre/H3XhxUu6Z+b974afXK/r7tzHEv/ofy/q/CM+jn7ys/Di57Z9+NEY12vfxeNWd2nlWUMUMw4J8r6ix4mQWlZPlNJQeEHIw+OHrnhWi5m8z0MjmTJJYm23w/H9UQwpSNgmA3Gb0f17Dvt9a/EXj9vMl3/zEKDJYHtq1tZSwLoeB9uOETFNCv78nPlhz2VQGktSU18IjUJdfvr7hxoeG259eEn3MO68k7Hne0QtE/swBPPmTji16m/XD5sSAreNZ1iRcojbBsPpApmCT+0UQCnFI9MFbEOQsA2e8dqnAe2PX6Xjknu3oTacUFbiVkrRH7eLCpWUP8i64AQFiU9/qYrI3GxK4FiyKu15LQFkKd/8WMatUgLuiTYm2vbGrKr1yVzBr1sLNxt63CBk32yOValGAUzVJ1QqFlYeUfk+KutnJF3QcyhRf+M13VES1mKDQRsfK4UgUgx6WgpBWACFzSdx8ONfJO4F5UwHM4WAX+2abnre5v4QhLaXLGbdXYIhYGWXQ9YNiNu6H1Eo9i6Q4v7RRKDqHW+hCvFqogrmCgHbJwtV85aJrM+yROM2vDAW/oKcot0yalW304RtEI+YjNQF1NVfM6jphEpK9xFDUahQpo3ZRpnAeKjdf4GQALg2l+H5sURb30SplKsvOp9EV4Rb9sywptvh8Wu6MaVkzvWYyLpsGc0w5wasSFgUisH/0SZKvM2mpqYUDMQjiwocsct2EX3RoIltLmLOKwSXbt9oLWjVEEZrDxGAbYAXQD4MsaT2ibh+SM5bfO/rK8WHZ6f4zsDSgm1f+cST+P3D+wgVnDhgkfZ8hucKuDWVqBR0RW0isjrrT6gUVhN/UjuY7/+1Mn7M1iqpOW++PoKiIq8Wkmn9cgWQtC2WpxSbBxP8Yc9UeV+gFN2OWfaLeUUVYiG078svfoq5CnXjqCXxwhA/mB87S8cA5H1VJXhTWZKNfXEeHs8wW/CbdvjfvvtAW9nCTnvchbz6nz9EIVAEShX9aoKVqSiWIQlD2NBbEvnRpYyaBjM5v9wflOCYkqhlMFURCCcEbJvI8uviOBIxBI9b01XuM9z+AezxxYnZ3PrMV7IsYZPxAvZN53WfLAXDu0b55V376o6/5eHRRV0fKoNmFE9d+Ww2rx5gz/AUV3353fq5Fn1FyucpoG/HQ+yZ0S8vIgV9y5L0nPwYbru/QTBWE+wfnm+DpfKYxrwwUqbg8anrHiiTg0vIFnwSCYfprAd5H6UUE17I1FSWK08bqvkO9XwqadpY/uJFM05+8IGG20vzpsqfzb70UCl+snWMc1cl2TWZZ3VXBNuU9ERNCr7iRWcsZ1W3Dhw8RswEHXTQQQcddNBBB48KOgThDjro4LDBlFASz1yWjDCWcQlCxUTWozdmsX8mx0DCJmU3UZRTOirbD0qKODCd99g3k+PUZSkMKViVcpjKFjh+IMZ9wzOctbK77ERRaKVgA0VYzIGT93Rq3UjRWKRUvQFNQh05WAFre2Lsmc4uinxhGYKSz2SyBcFWoZUT421fufE1FPD9B+cNJHFLct6aLjw/aLpgtk0d+f6jLRMoIBUxOGkghm3KsqH+rBVJfrJt8hBK1z62T2SJ25IVyQhRW/KDB0Y5d3VXw/Lr9Iv690yh2g2Y8ULmKhwNs4WlqaHqelWwejXsrVdyag5NTPeC8JBTUC8WTW+ntNFDCoEXhszmPcYyhXKayw4OPyayHgKtTDub95qnRj9G4JiSRMR41AmujyYKviLRjOdxjKAUUFKLgh8yVwiImM1VEg8XNpx4Gq9538e4+t1vXvDYD3/3F8RirR1ER6LN9ccjf/Lk4BImsx4RQ5RToT44OsearohOFaoUP906RcScptsxUUpVkYNLOG91F3Yb2RK6o5r0KxpQiS2pU2gOxGzcICRi6LYYMfV87mh0gVkvKKdRnUxrovKq3lhDpcLThhKkHKOsFr5lTKvsret12DoxV3aYaOUtrRIuqCaKlH5POQaz+QAh4OED7av2NoMl4dx1vfQnbFJRi4SjlX4qv+28F/CN2/by0ME5+h8e57yNfVXXaLe6N/Zpx4jrh2WHUwnJiMG6niirP/0hLv3tT8H3CU2L3848ld91PQ6AjGEyW5w7r4jZkNfXEIdZjrqdXiL9yjeQfuUbWPHiy7EmJ6rqIAT2/uf/wClnHHpZlEI3s+L7qPRUNUPNfj8ISEaM8maBbmClQ0pCb6W2V0JfMXNK9Y1bQR99JB1fR6uvldBSEanluceI469ueE6nWfs8rfTarIgKWPPv72J0ZpLcM1/Y9NqVn1wmnYYnnlt/0K9+QeasE8EwiP/h/jZLfWTfcPyEkxatUBcc4UCoRk8cswVhCKYli9lndKBlcwgsKemLzc/bFJBrEYxRQjJiki60Vles3Ld7Oo9lCLZP5DhlWZzlSaepSuDhRHZuBkMKHhhJMzLnce7mQb2j2JjXdDuMTOWIF/KsedU32f6p55XL/fVMmnNth9hhnrMqpbjLrR7Lvvq9n7Jy5crGJ5z7WNjy4KLvkz7/IqBJ3/Lef0O955/aIoKU6mPsY58rb0tGDAKl5zTNztk/25oImYqYDMRDTh6M0/+Uc4ClEVO6XvdK9l3766pte2fy7J1ZHBEzFTFZ3RUrpq4vqjpaEolew5TmiFFbUigqNi4GQ8kIccssz8uUUuycypb3N2pmtiGYakBONQVUcstqR1o/0MSwiCkJlGI4XSBsMX8uEVjbQSkIIWxRATpbzeH5buxKwuPLXwlf+vziLiANgs9/DdIuEVOyfSKNF6qFM2AJPfuZyXkkIgYRQ+IGIRk3aMt+FjFNuiIW3RWivKGqnylu6F1iRpAWWOroo5Qi42m7pBQQMSSTObcqZTto0uD+2QIrUxGk0M8wmJh32YVK0Re3QFWsSUrT0eLv5W1KB0hZskjSEyWFVYGU89kcFJqYXFn3tiFY06Xrr9fRBpKs7zGb9xtmymo2T086JikoEilFFQlQCkF/3EIpCJJdmHMzbdYmFFTI7wq6r/+/7BwviDdWnGyEg72r+MQ3bueVzzmDfKBVYKWAVMTiui2jZLyQgq+4fHNf1ZjthoqIKYvfNGTdgKwXNv1ee2NWS3JwpRqtFFq8JAh1RkNRtN02s5NUKhlHTFEci3TmxDAMUQJMIavEUIAqxe4S6bQQ6PdtSO0jybpLt814SnHfIWTRmp2dLrdDIQRJ2yLea+KFIRNZl6mcR0/UYijh1PWrpWxItX6bQjFLmCEFYahJuBFLEISKRsOs9hvpust5QQsCeOOMFbYpKpSMBamoyYqeKFNZl1zFt6P78voeRSndz5hCf+Oh0v4s29TtIWZLJAqBtqPFrOprNFRlF7QdAP3tuw/w8Xe+vqH6ujQMPv6jPzA0pGVUoqZEIsrfvyGkfnapIKx+P0II1vXG8IKQ6bxHt2OT9X2ipsHOyfnx2pSCqCWZyPps7IuyayrPqUOJ8jjeHTWZ/t/rGXzKuYtSpz3p5uu550VXsasYzJaMGDyyfZRf3LkYX89CUIQI3v/C97LpwCiDXVFGJ+dY5R26fajUV7/gH57HDz/8bW7ZOoFjGTz1Hz/FN9/+QjIHty94je0HJoul1BlIt4/MccLyFHkvIAi1kvXHf7GNTev6eXi/7o9X9sdBCGbTBfZkfAoz1d/3RQP95EKFGwTYxYCjsEicP3Ddb1h76XmLek9DD24tqt80PkPV/GyGRybSnLk8Qc4P6XFMbFNy3ZYJlidszl6eYFW3Ht9MqfvijnpwBx100EEHHXTw54oOQbiDDjo4bKhcV5lGtbFiMuthSsG+mQJ9sZBlcafOwF0y6DiWNppOZNwyyfO+kYp0VUJgFH/m/QCjxrhiSoEp55eNCtgylsYPQxK2yVBi/t6OJVFKG5UiplEm9Uoh2NAfZ01vlF0TGfbP5BckChtCO0GWooaxWJRK8sPXfxDQdb+hL8a+mRy/2DEfGbwiFSFqSmYLPpYUHJzI8P3b9/Pcc1aWDZNdUYuDaZeEbdAft0gXAm7dM1t/U9qjJNQef8G6Lp2SVWkDchiqslNNoElEoVLcsT/NgTltODNqHMDz6gia8D2YsLlj23TVMbGISbrCUFeKDF9Kqnk3CMl984dEnnBGkcDRBq7/BbYpF0w1dqRhakE/sp7PVM47Ku2xg2ootDKtITSxcyrnLymN5tFAImLUpbD9c0N/3Dqm6yBiyqblK/VP0zmPubyHlLUG+aURA5JNUts++Rkv4LFPvYJXX3ImuXS9wbt/+Squ/vHvl3DHw4NjRS2yXRwqkefgXLWhPmJOkXF9UhGToaTNVM5rqpoPkIzIlnMbSwp6ohYZ129IDq6+t6xSDS74quyAPJLodkwMQ5Au6BSeY0XyStwxSdc82qb+GH3R+TyCQwmLQhBl12QOx5Q1AR0Lv5uMF5RJwpWO73ZhSHjGGctZ1aODtGyrtgz1SJiSv71oPZYhQaklB/wcmC2QL6r2beiLsmNivp2c/5G3MfTAHeW/FUDg8ZTbr+UpXMuPhs7llrPeXLF//rs7MJkl0XUYiRmLeLwDX78eWLoy3ULIegH3DDeeHx+raBZcclhwtKY1h9CtL9bpdxS4lQCsWYAcXNqngMGrP8LuFgThEjL/+e/w9S+3PigIyJx1IvE7G6uqVuKo1MXlV8D11y1cluLPr77ri02PORyjf+0jT+Y8+mNWS7JOI/hKLboPMqXANgVqkXKeQahImILJdIHZvIdp23iFpWiCLg4/2z5Vv7GC3LNzeJbjNwxwy8NjnPbm7/HIZ1/OTGaGO70CI0HAaiEWnRp+IbxnZgKAcx97Pp/+3x/pwN0wxBCijlAk3/B3BF/9wqLvUXj6s/X5DcpuXX4lhff8E9Bee/T6+su/98UsJnMeSunfC/7SxrBAafXP3I03tG/DaABRInql06x+4SXIoJ5NlV+/kZFPfa3ldQwxT0YzJTiWIAhD8jWXC8MQQxZtfOigfr+NWO/huQJrumVZWVepsEpF0Q8VEUNUzZXcQNWt/fJ+WKcqXKten/MVN9a0+419UeYmKufZ8zXuVATfLwSrmAEtbpvM5Bs/+GS2oOfZxSCiqF1hd1KVP5T+qZoHyfRVKCvH3/gPZBZLEL7uZ0SK9t6qOlvgNKXDovAVpAsB6WL4T5cz/9zz4g9U1b8mGtUPTALB8f1xDCnIeQGOZWAgOfGk03jowXsX91zAiQMJRMWddk2lMaWEtetg9662r6OK/3ZUEOAq0VczPxNFxrAhBUrBaLrAqq75COZQUZUKvn3U06oStlFW+gVNSNzcr6UrhNBruhKkhPFsUM6WVXf1JnOF8YzbUEEbYCo3H0Qf+/7PGSgGM7QHwXeyaQAORCILHFssI9oOnfvad3nR3hm++p6/5eFbf1F/ZcPgrd++vS6gp+CH5X8lJCIGK5NOka2ttwUopnMuhhBkPI++mF1s8RqhUni+Dp4tqdGWMhPMl1T/dExBoBoTWefLpYpk1eqX4DegbVe+Jz/UirR+qIq2E1VPaF5k9o7RMODhJY5bJbzmZc/h6q/Mk1NLSucrklGGEhFitkHBU3W9gB+ARJWfqdS2SkEppb+1+rIqqmZX2ygcS+AHtJUFTvuSGtdN6ZqGUDiWzu64YzxdlV2nUtleAqv7ooynXfwgRAiBF8wHy5iSsipymQRdfB43UBjF5hcxJWGoMIsEc31syHimsGBgUSXe9IFP8i8f+R9WJKMIYOvEXGOBnQb1pDNtSHIN1JUNITFMyVDCJFSKQiCqyMFQUr0OsA3B6q4Iq7siKKWwDE0cns758MA9wOLmNt3jB9k1mUMK6JHw9evuZWL2cM+TBVMDK7n7gZ04pqA7bpPJFRZd1laIZee44+695ByHdf0xYgacfsnruPfBR0jf/l8Nv9f4qhO58vX/wf+7cRcff1E3Qgiuv/cA195zkM++7GzG53TWsYwb8OQTBvnIjdu48oINHByb47iVPWybyLExajFcoya/pjfKY9b1EgC7prJ0OybdUYu9M3kStoFlSDKf/Dzx17+yKUm4VFoBxO98iLl8QCafZXVfFNkkIHQhf2TO89k7nSNqGYRByFjW456DaU4ciHPSQJTHb9DzbkNAE2H4DjrooIMOOuiggz8bdAjCHXTQwWFBqCgbr5RS7J+uJ6SUDFcTWU1i6o/qBb9WNJAVx4XsamJIrcWWsTTre2M4poEtJaZRufTU99NR+SFuoJjMaTXjiGGyvCuCYxvAfJR31DIoBAGJiIUQYGFw8vIuRtOFpiSa7qiJUjCb9xftDAzRBpbFGA1KpSgkkvRecAE9KLJZl92TWWqzgR2YLQCKrbunmKtwNlx/zzA7xjOcubaHkdk8EVl0Jnkhd+yfZbri2N6oSU/MIudpdY/emMm+6QJSirpUjLVY3xfFqGWoGfVPK0W1UtrVt+zmjecfV0cinyv4nH9cF3FL4ma7GJmtSC9V8+yTWW9JJJE13Q5eEOqUejfcxppLzyvva/qevv5d+lYvf1TJwVnf58BMrqMOfAwhUFop3JKCnrjFVNY7Kmqai8GRJi4fY49bh/64zXhm6WonRxICrUADNFTsgRplK0V9/sglIt6iXcRiMb7y26WlZj7SmMy6OKbEkALHMJByPk3jsYjD/X3cN5w+bPeP2wahUowWv4/pvEvUksQss86JaMqiEmrFFaU4MirRoNNNRi0DP1Sk3aA8vyz4Lit6HP7iMatACFb2RPnN7hmCULG+N8rKpFXFGBRCsLbLZihh0+2YWFIyk/eqnHgLIQi1w/GklUmCIERKwV17phmdW7hfedFjVjPUEy3/3a7ifKhoOv9q15fbE7W0w1ypqrnNs977N3SP6BT1t+ZzPOC7RIGLo3EGDRMFPH34D5z6g//kxr95Lwr9/g8WidmHfUxZbGRaBzU4ckET9S76I4NDe4LFnX2knqhqOTM83DZxr0wSfv3LGP3kV5oel/nJjxcmB1ce3w5J+CjE28Tf/x9k7rkb9ten+C2h9E5uf9qLoKhcdjghiyptUB+0M5Iu0BWxFt3W2zk6bhvaga0UqCKpuA3yV+1rGZ7M8tut42wciHPKUIJ3fuQz/MvrrlpUeZcKu5j56dLNfUznfG7dM8OL3/VizMkJLigeM9B/CvF/+0/6n3cXw2mPH3/8n7n2ph/xmlQPSqmmiqhK6VpvR4FVAUoI3nnjdhIRrSb7+Tv2l/cf3x/jko2aFCCLamFx22Ca9u0wCgiFIGEbBEo1JF4GSrFnAdtBqW0ETowDX/sRoImCle9+IuthGfpezUh5jdAdNTWBBlj97+9q+7yGkAapj3+Qnh//oLyp1srm7NzOmkvPY893fg6JRMPLmMY8CcsP64lsoIOltCaAqtu+LBEpZglT+KEqZnSYp9wJdFB03DIQRTXDys94Nu/T7ZgUgup6nMr5RExRpcZZ+067HLN8H6UU941Ua56v63UIFZy3OkVfTBOU907nmcjqVPF5PyRbfPZKIsw9B2epnB4bUrCh1wG0Gm5/3EIg6CsGJ5RUSkdr+od2Aly7nXqXjwASEbOq7+M5z4f/+3bLa5XhRIkMDrJvtnkAYlM0UQfMeQHre2MIATsmmtuBG02ThRBYwkAAA3ETFGS9kO/+7BZOWtG4XTbDxZc/oxzsWCqlJm8GpP/nm6y99LxFDY1Tr3hN032mkFVEQdcP2dQfA6XY2B9DoLAMSdzW5anOYqJwA7XodVZvzCIMVV2mNSEEppxXGXUDVR4PDYMqMnEtWo13c4WAuG1U2TFqCftZLyCUkiAIsBfo73Mq5Jf5HKOhvt4v7t9HfyLCyBknI8P5e9QuHULDIP2LP5CZzvPBZ5zY/FmCgP/3nDNZ//hL+ddPfB5DaNJi7ZpLExijyFLwbLHYrueXv0lLCuKWxUIzgkKRsFrbNeZ9TYy0Df2+m71qy5BFlebmqK0PL9BZ70w5H/wUMWX1c37tO/Di57a8bgnZMOTz6UMPoLzl1zfpeUWo6upDCkneU/XlLCJE2x2iliRU1YRnKXTgQam/D9W8jaIUUJKvdaQUETElCcdgIj3f17p+WCdEUjueBAp2F4NHBmIOPY7Fw+MZDAFdkQqCsKHXzlFLMukGdarUzcjIEVPvKxGmc16IIajz0fTHbPpiNjk/YCrrMt6Gb2QgbmMaeuyp9IGdtiLF6m6tBOwGITMZr85HlisqHrt+4/pUSrFvNsdcg2yPcctgvKahJyKaUDybDzClYOg9b1mw/JUo1V5/UX095Ri8/Nln4BV8hsfmuGvrKHtH5uiKRxibznLV5Scjk1HUz+fPbxefv+w1nBsEFDIZfD/g5I0r4DCJFJeeY1mXQ6IvSUwqvLxHGASsXdHL03/4EAnbZOvWEWKJCLaEG27dxVkrHMT4MO94xRPL84k79kyzfSzDzx4c4bEbegkChesrJtOaBLx1qgCmDaYk74d15OAzV3dx4YkDWKYkbkpm8z7jWa/ctizb0IHzG09h/Es/YPXLn9lQZkAB8qyziX/umvK2EBieKbCix6FZ7bcyDe2ayDCW8eiNwS175+iPWzz3lEHW9cQYSEbK1+yQgzvooIMOOuiggw46BOEOOujgMMELKBMNDs7kGFuAcDWWdpnL++T9kIgpWdcT0ynPhI7cPnUoxYMjs21xnUqRx+t7Y0TNBt2aoMoIuX0iy4beGIbhFLfMu/3sokFpMu0SKsVASqsSdDkWGbc+yrgcybxE7H3Le1j74fe2dWxlVWS6+vn2v30Nigb0fQdn+PsPXUWskKs6/tZnvpKRp7+wihxsSljeFWHvVI7fbh1nXV+MSzf3EYTw44d1uqISVndF8EJVpSw3k/cxJazuctg+0dwxkLAN1nS1p+oAcM7KBIGC2/bMsmc6z2TWpS9efb4tYVnSZjLjce76XraOpOmJWUgpOGVFAqRkNOPpqHQ/rFNXbIaVqQib+pyyIksl9txwG10f/le6btQKV1V7N2wm/u3vI2if2HOkMJYudMjBxyi8UDGe8YgYgm7HXKL6y+FHb1SrVf25ImKKY5YcDNoh0VEAXxwcU5K0NZlHCMEjUxl6ozZJ2zzmyPnw6PMeSyr+gnrFHEMKMhUSbyX1mdOGUnXXUdSn9TySivrxiFmlWFYJL4RVffMKthcc1wVAzBTkGjirhBA4JmXlsogp6720LZBxg6Lan+L043oAWNkb5Qu/2d3yvJNXJFndF1sUGbk9tHe9iCG4eGM/+2bzZD2fPdN5Tv7WZ0ju38lbZ6f4lZuvutLH0rOkEPxDqofLYnHWbL2Lwq9/yUPrz2Jlt9P0PoeKpXAUH+3v6tjCkauNo1XPrZS6Fsax0Roq2/Hqv3rOos+Pbm8elKMA/unvF33NzE9+TPxplzXdfxT4wQDEf3gjmfe/uyk5TaEz5kyedHbL6yxGjNaUgq6oScEPcUxJ1tWpwld1ReiLWdyxX2dIyHjhklqQaOMkUy5tDlo3ZBT/jpiSj924neP6Tln0NZeCNd0O3Y7Jmu4IGTdg4zPP5/ig3iZy8fj98DeXMr1+M/vf+2n++l8/wrlrv8DeN74J65c/rSJOKqUIgdkw5PvZNJdF4/QaBhY0JRJTcf6mD72Th9/6AZJ2dTrtwUS1CidKk2j2fvIrrH39yxZMgVwq497PfA2KRLdGxGVTCixDsOeG21j+8udiD++raz8KmLryecy97h8BTdhrtC70AsVUziduG1iGoNuxSEWs8tyqFG+dDwImsi6h0oQ0UwrGsx5rF3imhTB59nn0F8nBja5TuW3N857C9C/vwLEkA7EIGc9n91QOxaFl9nBMk/6YZnH4YcDD45mmx0Ytk6gB+2ZzdfMqs0Fwuk6pbVKokCkez8wHlyciRrlNFgJF3gvYOl5t9xIIdk7m2DmZ46yVSboiBvtn3fLabX1vlJ0Nsnis7XbYPT2v6BizJJEmGeCdIkGnEdoJCKuti2Qxw0jEkMUgfq0SGn3v+5manCC4qV5VtQoRh/gtdzLrug2DVxfK3NWsNbiBYmSuQNRqzdoJw7BMoCvNDErfokK/1yBUSKk3JFLdpGenW16zEh//3NcB+NZX3sb/3foN8rkAaQgGexL89Wt/gR9PYGbSbSgl63/5F72CpCUbquj6YViXfeS4Lls/x1yaFa95MXJ6ChWxOfD6txN56tOq2kJ/3Fo0QVgrd4bELYO13XECpXhobK6B3izk/ICcHxQDCcWSs3Nk3KBKITpmGxRy82rRc27A0xVcNDvFG5PdRJsoR+bCkHu9Av86MwnAiz/3B2YLHn0Jm8jv7+G+7QfZ9NKnY3jufCBGJELhBz9jDBvb9XnleavbKvPOW27gpq/8FwNPeyUpx+C0oQS2ITCk9hX0ONY8ObgIIWDP9Dy53W6TgWZboik5VaC/jagl8ZqQgNvpBwyjccC0ZQp8VxWvU32h+AknkekbgImx+hMrkAtDfpbP8uN8ewIvrRAWRV0AHLNSWXke7QwppbG4FIznBmFTsZdS/Tb6lnpiFt1Fpe+ptFf+TgKlFYstQ7TtA5BCckJ/AoRW5VYKlArZNp4lZht4fj0pOlJDtBVCle02pf6u8pRG422py7ClwbJElKFkFENqomixm9QBOEqRLgR4YcB4psBkLlPXz+U9rXBsmwa2aSAUDQOijSbrNqUUY7lCFTk4WQxWsQxZNyfuiVoUfB/HNPECxXTeZ/kSM2Tk3ICMF9IdNTlYJHub3QnOfUyCi4qZNE0Bc27IaNrl1me+ksf/oD1lfQWECOJr1zM0kGTvjr1ksh53//LmJZW1FZav7GH/VA5fCn7wqx3AECTAm80h+xPMCUHSlGxY2cU/ru1lQ0+UJ5y4jJL+/oHpHFtH5rjstCHuG83w0EQG0zRI2CZ375upulej4dwQcMmpywiUth16QVjVv0NxjVXaNjTE3htuA6D7399N7P47UckU/j+/n/EV61HA5jDAlAZ+EGIaOgAgKKubVxOCW31tXhCwfTyLKeHO/bPM5H1sQ9AXs1nWNR+Qb8rFZxjqoIMOOuiggw46+FOEONTUtovBOeeco26//fajdr8OOujg6KHg68VapuDzqx1ji+FWAHrRt3kgUaUkrFA8OFqfwrwZlicj9EarCaVBGDLn+eT9gDBUzBV8Km3spw6lWNHlYJkGoJjJekxWOGl6YibxiIlpSA7M5Lhrf/WiuVKpZalYfel5C6rXlKrTBb7+qZ+Ut1/2oTex7JEtVceKmnMA3veGjzEm+xDAhZv7ecE5q9k+kUaFkHAMghBu3z9HIQiJWZIghKwbYBqC2QqDtiHgtOUJto5lyXgha7ojWIZkJudXRaN3OSbnrUougfii+OVOXccrUjavOHc1yWLUeBgqJjMF0nmf3TM5/rBjkhsfmjdYnr2mm2edtYKZgs8vd04v6q4Xre+iXTfa5v54WaEm4/oESrE8EaGFsMZRwe7pTEt1jw6OHcQsScQ0lpSS/nCiJ2YylT20/msh1KZrPZbQzBnwaEII7Qx+tMu1VCfgo41ux2R1V6w8BxFoJ4xALOi0fjTgBiGf+UNz5cSjgfPWpEhYsmre1hO1GvZPm/vj2IZRdWzM1uSqEpo59CoRqpCHxhandlyJpbRPIXRQxGzebzk3EWg1v4VU2WqRckxmi86RA5NZbnxgFEMKVnRHuWffTJWy7uM29HLhiQNHJLDINkTZuWJKwS93TmEVyTGrUw7H9TqgtBPR9UOUUpReV/fF53DF2AEWcr09y4nzju5eXCvC1e/5BnHbIOcHZAsBL7/guGriVPFXSwo9Xy7+LRQoUT1nLWXzKJ02nQ/oi5mLViU+Uv1Xt2NWZdj4Y0A7CoNLRW2K6iOFVgSpxaBpIGkF0p7H7qklqCIugGTELDvE1xQVCBfjm1TA7qKDtRbHxSVccO6SytVKRbhWDe1wIecHfP2eg1XPX1IF5eBuLv7YO4hkM8wOruSmd32yrBoKFQ7iBjbMvrjNiQOxqm2WFFrhytIkSzcICRVMZb2mTuZQwa92TQPw2DVdnLOia9HP6IchD4+3HuMMKZakuH7TzumqsptC/5NSsLLLYabgM3rrj/jUe97c1vWsRDdeerrpfgGsNkziQpBWir2BjzBM3nbtA5z24M1s+PB7qtRcG6FUXnPVStT3buCaW3bztFMH2THlYv/bezjtdi3VJgFsm+5bfoe0Y+zZN0r88ie2vHbtPb712RtZkYpUBTGbUmAbAqtIirQMweaBGIaA+Leuof8Ln2h4j8p6Hn7D2yk8/dnlv4/vjxO1jPJZXhCglA6mynk+gSoSgNJp4td/n+zgMtSFF9eVO2YZZFvlkAcGYhbLU1FUkQTsKZ1+3A+1ymctcfbh8SyX/OVFhxRgUyJNt6uuLE49nfiXv1neZho604FtSCxDFolFuj9XFHmpoVYndCy9vxE5qtQHLUQQllLw8+1T9ERNNvXFGIhbZQKIKUUVeaWEWuXmEkrvpHKMEwKilsGuyRwPjmoi3CUbe7nr4BwTWY813Q7rehzuPJBmJu8TsyRCiIYk2jXdDnsqCMJdjslZTZRum6llgp7v2YZsOQ6XFK8H4jZxy0QKSdQSKCUajquZdBoueSLka8ZBIeBzXyV+pg7UCFTIlgbzeFMKbtw+1bQ8F63vbrqvHaQiRpVtMmpJHHOeXZ0uzM/xY5aBKQWXnbKcMFh4rvKLO7dzw7Xv5qvf/z4j9+cQEgJXISRIU2DHJSc8uZurb02W1Wpb9Rm7i8razcbShnPVO25jzTvf2PS7y5x0GuMf+SyglUHHs+0HmUgxP4/d0BdnVZfDfcNzjGdcErYmDJfQbAyrJYIthLht4PoBfjhfNwnbIET3D9vHczwynedTzzkJgLOsCH+TSHGqHcEtZjiRwEwY8pXMHP+XS5dJmkPHbeIv/+P/OGEowZNOGOSeA7PcezCNAnpjJut6oiQjBtNFRfa3vO61bPv199ouO8A7f7yV43qcOiXuU5alqoi5pqHJwZWK7z1Ri1WpaEu/iNOCHAzz6raVqEzOJ9ACJ26RuFnap7n/gum8S84LsKQkZhuYUlLJM65VLm5kG8tc+VTYv59aFFSIr+DLmVm+mGnfZ9MKvX193Hr/bpSiIWm9VMZ8RfCWIRori8uSTc0PFyRR115jWcomapvFMWR+Bjoyk6+yeQg0ydqUmsjbjq0pYmpScahgMlcg7fo8bm0vY2m3igxsSk2aDZUmApeubZsCz9fE4KglcQNVnkvGLFlWrV8qbFOwczLT8Dtf3R3l9JXd5b+VUuyfylXZM1qt2UKl2DmVKY9pUUviBSG1h+sMG7Jq/SqAPdMFzvmry3GyCwdpVEIBXyr60BK2rqNWr8o2BIMJm4uueiqG77c1//zsW6+mp6+L8axgamIOkZ5k4sBBPvTTjy96zdfsHgBfet819A72ceudewlCRSxiAoqYbTKVdXnqEzay/eAspiExfI83XLyZ4wZTRZKt4qov3M7uySyXnbWS0YyHY0pWpCLsnsoSNyS/fGAEgLW9UZZ3O+wYzTCWnh9nNg0mSHZHufLE/vL8ptbWULL/xyyjqOitfbWm1POih8fmCDRDHi+EtT1RXF/xvQdHWZmKkHJMnrKxn6FU8wD0RhT0LaNpPnvbXhK2wZkrEsRtk/6EzZkrta9PoL+rUiaRDjrooIMOOuiggz8HCCHuUEqd02hfR0G4gw46OCwwpVZti0dMBhIRRuYWF9mrgB2TGTb2JsrEAjcIFpVZeHiuQMwycIrO31Ap8kHA/pl5A3wtoVcKmM56JByF64dV5GCAqazPZMbDMLTjYVN/nMmcWy6UENq4W/kcleiN2uXFeD10FK95x/1kzz6lrEFQuVatPCszOMS3/+XLAKT2buc5//a6iis1uvr8Nd79iTfzw49+F6u3h5GMx+du388T13WTDwL2jRVQCAwpmMsGLEtE2DOd08ZIH7oiJueuThIxJUGolXkv2tDD3QfT7Jmef88b+6L4xf0nDsaXpIo3XaFWeGDW5QM/38GalM36vhgx22DO9Sn4iq2jaXI1zpAHDsyyqsfhzON6uGh9D7/c2dw5UYsm2Q4bopFzalmifaXkI4WYdXSIGh0cOrKeTjmajBhI0dhpeTQwlfXpj9vHtIrukUTcMsl5x9az98Vssq5Pf9wiXQiaGthTEZOsF9Q5IoTQRKTZPzIS2+HAmu4o3Y5VNXBqdZXSb8ceFpu2/EjAFKLKSdLfhDABWomsVhCpViU476sjRiwrYSkEeqV02u6FghYU8ypyadcnYZvltzST8whV49ZUKdqzojfGVRccRxgqpBQ8Zn0PN2+b4LEbehlMRXADdcSyDih0gBdoh+Lj13RVzaWbqTqLPY/w7LGDC5KDAb6fz7A2bfCSRBfbx6rnRIWgsSO2J2pVz7NE9dy1RAuu3NbtGA2JgI8Wjp2SHBs4WvXRSKlzKWiL6HaEHuqI+iGf+bQjefXDjlC1SIvet4rv/etX5v9eRF+/uitCMmLodqmgO2qRsi0iplb8k0Lw4KgOhm0XjVIgHy7EmqhKLoRSf375B1/HwL7t5e1bzruY8b//ZyYyHic/5dk8a3SM7//3B1peK963nKs++/MyOatqnxC8Ip7kBbEkkQqFzowKiSMQr3zqgsTg2jIH+/az/f9+RM/x57Bn1sMLFLuuegsHX/02jhtKcdJgnJhpYppa3S73y58Tb+P6lfe44B9fytb//iZruh1CpXjCa5+NM6NtAoFpcu37vkx+YJCZvE+PYzD9vJdw3apzeOn7X4HRQKExkJLvve8rGCuWYwxniinnZR2hqFlgFYkE2Rf8JYbU5C0pRJnAZUiB10bww1jWY6w4b2mHoLepN9py/0IYHVjF4Ni+tvstAXDfPVXb/AAMMU8OtgyBHzT+9rPuvCJy/ZV1JUshOXEgCWhS0pYK8qIhBX/YqwlqUzmf3++rTnUfsyRPWNtFJu+ztidKAMRtk4RlEISqLtg/6wV1NkOl9NxqWcJmXW+UMIS4LbnguC6mcj4rUw4DcRvHNNg1lWN9b5TRjMt0zmck7bb81lupLNemm6+EGyhso3mwQcySDMRtoqZZpcCd8xSGUGSueCocqCH+rdtE/JY7667lWBI/UOV5nPIhWZQ9LnPoiva09b1OkQCnSW1BqMnsvgoXZ3RrgNqnzHlh0/GkRLz/3zv28qZnPokDu7c1PE5Kye+2HOBLn3sFn7/6J7iZEFVxSRVqonDODbjn2kledpHHZ9zziW25r+E8KIhEmP7xzfSZEiF0QEo7SHztC/R99X+Axn2eAuIP3ovznCez7/9+0Z5UfRHdUROBwAs1MW7beIbRdKHcl1Q2M1+F7JhsTMZPF3ySEaNsfxAV/0P9q5UCEhETKXSADsDBOZc/7JsjDAKmDz6Cl5tXnr3TK/CaqTGGpMFGy8JCMBIEPOjX22uGH9nON378AK+67AS29cX4xQ7dz6/vjbK5P4ZjSrxAsWc8yy8fHls0ORjg7lt+zWnPvbxqW1/UwpLzxN2877N3IldH5LWM6vW1LK57DCmQQq+pRdUKrT2omnVoECg9FlW8xNLa6cBsvur7GIjbDMYdBBBZgJxcQs/1P8cNFJlLngTjo+Xtn5ib5nvZDIfTkvbrOx8mUK0D1HJeSNTUDD8/VPglheVaoqmCQKn2FJalIKh4f2OzLv0piNkmovid5d2gihxcvAWur5BW+4HoUhSzFQHdyqLHsTg4U6gjrFpGY8EApSBiSYJAB910OQbpQoCUYtEiPaDrWoj5lpj3QlanYgwlqoNyJHDq8q66801ZraIcqOZzGikEG3vjjGTyKKXVxSvfmRC6jY6nXQrFIOZSp3L/SIaxjMf0K9/FFZ94e9vPV1slaTdkXW+UXQ3U/UtwA8W+mQJf/+i1POeNzySuqonKldcVwA3/8S2m7ryPuZFxsr4kYgrSs7N0peLcdsITeOyWw6MkfDA5yIG9oxBLcOfOCTavSHH3Lq2oPtjlcP5py5mcyvDr23bxkotP4N6tk6Sidrm8eS9kdzH7atYL+YszlnPTjgle/bg1vP+6Lfxyy0hFHYT8ruhPi9mSFV1REhGTnoTNrBL8etc0T1zXjRfobyxuawGBkbSLH2r/cNYLyuNwMmKStCVKhWWCeKh0xreEZfDAVIacF5aD+05almxJEG7U1Nf2RHnVY1ezPGHrcadCjV4AttEhBnfQQQcddNBBBx1UokMQ7qCDDg4LKu3a56zu4eHROba3UPloBC9Q7JrKYJuSbsckYVukIgYzbTrPFDCcLhC3fFKOJnYM1xCVp3M+vTGLmGXQF40QhjqVUrrlPRRbxjJLInNMZj3W9caILaBYlbjzAbZ94N9Y8d1r6vYFwL6v/JC7gxjkfJidLZODF+Mwu+LvnsuXP/UTVndFECjWdTlcd98w475emEcMwca+KDN5r8rA+YTjUuS8sEw4AW3M2dwf5bSheNmgVInsEomqCbs+v+LkbJ5nnLSMr951gHjEIGaZpKI26/piHD+U4Ht3HmAm5/OCs1dy0QnLmCm4rOuxqgjCpw0l2NgX48cPj5Nr4IhbKG3pHwOWJRwQMJo+tgiPHTRHyVnYE9Vp0x4Ngnd+AdWqP1UkIwbT+WNLIbfL0coPgdJGW0NosmbGDaocBIbQxL9ExCg7r0vqpUrBbN7HKDrkzCIhYSrnL0mp7o8JExmXbsdqqCJzrOJY4D6WSCrdjkmgVEu10d1TWU5eliKocebUWullk9SShwuHkrJ6pvh9LNROSqpeBX++PkqKI4L6tIszOb/OoSmL5UxELS4/fQj7KKiDN2pTrR619Ka+8OoXkl7EO/vv9CwvSXTRPT3MdPdQy/sfCpbUbf3xT+n+KHC0+q+lTNE39sWIWSY7JjLzKpLGwumej1jQxiG0yQVLNHt4lNv+2LF3plC1jgyUImVbmmQAFAKfpGNQyLTfBx/JJm4bEr3KXxxe8Jbn4uTqlR1PvO1GeOGNnLBiPT9619WseMpLeO1TXsLX3/RMpvdWE+NM2+F5H/oOvWvWA/Cs91/D99/1l+X9q6XJ1/uXERGibo2cEkYVMaJdlMaa9f/2dr7xxi/wuNNWsH/OJz2ZppCIcNZxPVhSEDEAoddEff/5vkXcQWP59DD3+iEXX/UUZM0bNH2f57zjJSjgu2/9b9LHbdTPMDTEVz/5Y31QOs3au37F7jOfBIkKVdcaUu7GPqeYRlujRPpqNGYpqCAP1ZDI2stCD+j14lQbmav64tai31Hp+EIkRtfMePuFavPKrexozeZklWWvDBQJa+owYkhmimT+oYRNIQjLxNqZvA62/Ootu9k/leek5Un+4eLjiyUTrErFUCpbRbrui1ktswWEoSa/TmT19xuzdTBTfyLC42IWpw0lmcl7SAGrUhGkECxLzJe5ti4ak6OLWKATSrsBA3GrHLzmB7p2jGLWhohp1H3DmTf+Lfz2140vuGsbmbNOhOc8n/i75r+/2uCyAJqSntd2Nyf1mJI6tcjFYKlD6cd/8CsAfvada/jO/3yEQiHPSWefx79+6qvYpmQyk+bLX/pZHTm4FqGn2PHLOd72nDv4yjd3kLn7ToKPfAgyWYxnPJPEy18JCBJBwP4ZTXSKNbBvKjSBtCdqkfcDzGyG3hbk4MrtRjbDwJv/mvAzX17wuftiFm4Qlu0FXRVKuDN5n4gpOa5bK+9nPY98EDKX95uSHQMFhhDMeQGveNLJpGemqvZ3Dwzx2RvrCeY9UbPcXqJehrmbvsIPvvIZXDePYdTXz3AYMLygD0CxetMyppVEKThjRYJVqQiGFMzm/bK6ZSxmc8LaXq5d4GqNcP0H/pZXvWBflW087Qa4gVbsVUWbTS05GMCS1Z17qUoriaiuColaWoTDkKJujdho/hu19POWgsjdQJWVxkOlmC14GFKwfzZfZfsxBHQ7FrYhimTB+jI3eu9mUcW4++e/RhSPCRX8bxPV80OBtBytmrxAkHGgwK3oSEr1FjEFhhB4oQ7EDUMd1NBovSLQz2aWbAoV7yUERmddwG2Zccwsjvso1VDtuRZRS+IHYVlIRRazZ8pSwFAwT7xvFtDrFYOMbUO3v5wX6kwbYfsrGNMAiSi2YVWnUq+AmGVy+vIUe6dzTOY8LtjQX7ZrgCahj9YQ0HX5SsrA9YrKQsCWsTShUnRHrXIbFgJ6iv670bRLt2OS8wKkaTCR89g7XWCsaJ+aPPHMchnbHQ9m+oaq/h5NFxZ8XyIM2f7wMM9+8vs4odvgQ997J044n31EAV+/9G9Rl16J4boEdowDe/aRjEfJBAFhaoDuFcu5eeU6zisShJc6fpXu+d23XU0ihP0H51AKuuLzIjV93TF2pUPun5xi86puPvadu9n/hReVx3+BznRx5TmruHxzP9smc2zoi9MbtVAIlqWqBW+6opq4DjqIqxQQflxfjL7+BLOFgOu2TBAxBZdt6uOGrRPlsf2cVUmSFeNe3DaIWzor6GTeRaHX29sm8uyf1SJPD4xUr2uuufMACdtg00DzfqbW2hi1DDbXHC/Q35cpO+TgDjrooIMOOuigg1p0CMIddNDBYYEQEDG00E+I4IRlKZIRk3sPzOr0MW0i74fk/bCofpinP27BItR1Mm5Axg0Yz7p0OVZDR8pk1mNG+tiGXDDVrH42bTjdNrE4wnMJTq3cXgN4QYj92jej/uGt7J3JVS10bUNw665p8r5+jhe99ypdrkWUoXTsxkjAeLrA7bumeOTgHN3JSNlokHLMqnScJTQjZ4RqaSp+rWBKwYmDcR4ana/rsbkCd+6fwbEMDhQNdQB9sQT9KYeXX3AcNz88jpSaqJywTEIleNlZy7n34BxPPK63rLTwynNWIQVsm8gwkw+4Zc805x9XHwn/x4hQwWDMwTEN9kwf/vTIHRw5lPqovphF1guOOIGsEovpn/9UUFK+aVfp40jDMSWOpR07lXbqQGklUym0s18gCENFxvXJeAERpfu8nnIaN0nUMpjIegSKOoUxx9T7Gyqc/QkgUyS7NyNoHIt4NIuZiEhOG0oyELfKJBdTCvrjllbnqUntCLpNDqfzDMS08/9wpLJcClw/wDLEkgK3glAtOkVuCaFqkhIY/S4d06DgN75uUJwzlcj8RwqLmRumIgaWKZnIePzkwN5F3ccHbs1lieczTBe3tZrtLtUp0ypLR2n4UqgqJ1F4hDqAjl+pGkdLAX0p8QBR0yQI4bie+MIHV+Io8IMnX/q3ZZXAdhFYdvOdtgX+4R/XTUPMkwFq2YZq3jHrBiGzBb+ssqaUQJS/yvnTSpdYjCpvxJQ899QhUhGDWx6Z4t7hemJsCbVq4zkvZOeUXk+WSMKxNtiYEjhjeQKFJjXlGvTplXdqqPTYZG7dH7dRaLWtWkJGO1h9+eObprYvlWvgwE5e8q4Xs/dr1wPwxGt/Vd5Zfo0Cfr1runzeipPO4pK3f5Kf/vvriSP4Zv8yrAbk4BKW2heWzjOVz8HJDLZhUpge5dSVa8n5uh1JYNYNGZvNsmKRa5RSO7vkqicvmNL5eR96Hde+/oNMnnR29Y5Egt0XPH1R9wUYz7ikIiazi1SdXkwzaHd96AaKkde/jaFP/r9FlWWkdzk3/duXef6rD58qeTsKmUtZiq7uctg/W0AIrVK3sU+rJv/vLbtJRAw2DibYcnCO3oTNmv44B6Z0RrFtI3Psmcywti9RvveqVIy13TCd90i7fsM5XgmOKXn/D7cQtSR/d8km3FCRdQOybkB+Zh8DX/wk/p7dqGe/EOfxF5L3Q7aOZ6uusaaGQGu2GOT8UNEXs/BD1XTemin4xGwLIRQhVAsf1LCoMn/3uubk4Er837fJODHi/9BYqbFRH5f6+AdJ/vaXICQzT7uC9Cvf0ODEhW/dEofI8HnWi6/iaS94aZk4OVvwoQAf/3+PIz/jtyQHlxB4ioduniIIwTntLPjSN8v7/ABAIRELKsRHDFlek696ziVA+31rbMt9yIjJ8kQUw9Akv1CBF4Y4psFk1iXlmEznvJbtuSdqYUqt6rhrqrX9MGYbuH7A6/7iSrbefVvDY6bHhnn+GSt43CXP4O8/9Om6/Qf37OLdr3g2mfQMXmFxGQdrIU2LK85ZTcKSKBQ9jknGDarWDZYhuH8kveTgYRUGJCJmVeYZPwwJlCJhGXzm0//NJz/8QTzXZc3xp/CBL32vfFw7waymIeaVb4tKuKFSLbPwlMYBy9AZAJXS5F8pIOcHzLl+eZ1pSUF/3CZqGTiGJGabTceRZkTYkmquFyikOHJ2lu/c8FtsQ2BILd7hBwopdSaoUOm6Gs8U6HIsmukb6HqrCMYIIWoJghAMQ5R3leZhYajIearld9eoTuYVi1XVNpv5AJDaKoqY9QTwEvxiOSvPlQ2uUYkgVFUE11ZE5loYQtTVVd31lVZ/X56Msro7SiJi1O2vVVQuIeeFSKHHSyGh4IV4KmTLSP0cPhUxsQ3JeHZe5GQq5yEETOYCto5nq55rbU+Uhy64ghN/c92CJOHS033vX6uDKTJuyPreKCNptxxIUAt3Ks29O8c5/bgeth+Y4RkX6YCZ81aYbLv7Xtas6KV7cBB7dI7o3AjL1q9m6LhVYBlM7d7DsuPWkQ8MuiaH+d4Hv8Gz3/EiWKC8rZ7hztMvRHg+ygvYOzzDsm6nnIGiNxVhcGUPw7MF/e3YEX723svKCrqlWZiUkgNzLl3xCM9Y3gUo4pbElIKeuMXa3ig5N2Co22F/k/Eg6wasMgS5oERyF6xIRavmsrXE64wb8NDYXDmLl1KKHVMF9s/qMcCxJCcvi3Eygpwf8sBIhrlCwKd/t5erzlnJactTTeum2QzTkvOB/R100EEHHXTQQQcdNEaHINxBBx0cNgihF2Je0YizsjtG2vXZNrY0Yi00VqYoLQSlEHQ5Jn4Q8uP7hqG4Tafvml8JRizJSatS2Oa8USMMFQU/IGmbbTlmJDrdUdYLiBTTlWVcf0HjWCpiIltSJoplNEzW9egu+aRlJg+MzKtBZT1FvsJIGMlll+yYe8zrnsdn3/M1UIoDM3lSKYfSkrrLMcuR2ZXYM51nWaKFY/owYyhhIUWcB0Z0u9m8oou7htNVhqEzlifoKhqpLEPypBMHSFgGCDCKhpCUbXHBcb117yhUsKE3jhBwzsoUUsA9w9WpKBeL4bkCjiXLzlfHlFiyXg3jSEMBSdvi+H7J1kUqeHfw6KPkwOmLWcwV/AVVKA4H4rZxVAnJjzYMoY2WSyFmHCkMJSN0OTZbxxqrAIYKJhr0zYYQ9MXNMokz64UtyZp5PzxsqdqPVWwZm+P4/uSjXYy2cbRJ6l0Rk1OXx+l2TLJugIK61MolZNyAnqjFXMGrmifZUmIZAinEo0IOBigU1ZJAEbMMCkG4KIVsq6VcW3P0x62WCsszeZ++uNXwey3BbkPF9FAgBBzfH8cLQvbN5glDRZdjlUk0MO/sNA1ZLutStOSvyabpWrmeNV1RlNKOmHiNUpoq/mcsse9pRWw46vjT7j6PWSwpy8eRFTE/JKRf8lf0ffV/2lK/Kj3Cvm/8uPlBb/9nePc/Lb4gDVT7KuEHrUkqJbhBwCNT2QWPK8FZhGRq1JRs7o8Rj5j0RHVwRsmhXItGJc3XzfXaaEtCE4MTEZ22eedk+89WQipSb2Y1pGA8s/QsL8te9RfIMGj5BKVmb01OkLj2f8k984XVO4uwG4yBGx/zZDb+34O88NVPbUkOPhzYdffdOP5G4muO4/of3ERMXkDfikGmcx7uVz5P6n8+wXIWpxBXiYXIwaV6esYn38GXPvWTltc6fXmC0bTHwZqsVLLBHSxTwCI5b4vppurbcz1KBAyueA6qSBBup58JgB+//0ucPZQAaUBw5AKZauGHIYWwqCRYLE9p3tIIUkgcw2D7ZI7dReIvaIIUaILsvqkcp65MEUZMYo7FRScvw/MCgjDkvddt4a2XHs8Jy+ZJJ0Gog8yjpqQ/ZnNgOkchVGWlxxK8UPG8x6zitw+PcdfBNKctT5D6n4+S/O43tOpj8Thx220kgahtw8d+2PL5WxEJFXoe1B+3qrYnbAPHKtkkA7LZxn1LXfv61S9alqUKX/8yNCEIV7aqVc+4AMOtvn/ft6+h79vX4CcS7P/Oz8vbk45VRdqRQpTVnusGbtX4++iLWRhS6Hl/RdBK6XQFRXEAVVXS0ny0J2rWzeUfvnuaoDB/fEIIQiDThL2eHvF4z788gff+y9JTx1de2fDaHxtKtaS+/x3U81+EX2EvMoXED/S8XynojdokI2ZxzVR/c4Vu+60pkjq4Je8FvOMVz21KDq7ErT+9lk9GHF7/rx8rb0vPTvPuv3o2M1PjqPDQ149XvveLHJhzkcCpy5PltU1lvyGFOLTMQkJUKdWCVtZ8+hPPYs+O7VXbt959G88/YwUIwRd/8zBWb6zuctu2PMhfvfAKJsZGK24heO5fvJT3ffhTFeRfbdOuJeJbBmVybElJVm8XTOdd9s7ksQ1RHgccS9IbnVcGLXghtqHHd50RZ/7bU0oRMcV8dsBiQ6u0E0YsSa5ICr30Gc/lhmu/225NtsSnv/pdzjr7LPJeiAj0ejJQEBSfNef77BzVc7H9s3nOXdVNxDIQQKYQtLTrldTVc03IrDB/v4UQMXV/1ch2Wl5bF0nNtYTdhbIruUH1Na2arES1MA1BULFfKdUWeVsAwQKfX23Z/QAOThcYSEawTE1iH6uZixtS97ul+4dqfs5iCHh4tJocPJn1GEhYjKU9BFrAwTIkAsWeGZexjMcjk9XCORv6ogShYvz1b2Vk98Ms27Ot4Tyx8pxvvf0Tdc/nmJK7d02yczRNT8ziMZsHGanIwijCkK17pnjc5kFGZ3Kc0B1yR/GTncVh5erlPLRtD+f19rBmWZKp/Az+5CR5P8CKJ/jLn3yewT3b6u67WFQ+x1n33MRZ99zEgb5V3PGeT+F0Jfj0d7Ra++RsgZgliyRuwbIeh0/fvJv/WtNTNZffOpbhbReuZyBhoZTinv3TxGyDzYNJeuM2uyc1KXg07fK0U5aBFNyybZy5Clvh6FyBtTkXZZlIIeiJmty0c7Kq3LV9ZrleUcQsScSUbK0QJprIemX/bRBWq2f/6KFRwlBxxsoUjWaztc1dALbRIQZ30EEHHXTQQQcdtIMOQbiDDjo4rCiRhN1AL9Y2D6boi0W4e/90W06NWhT8sE6t7Q/75sqRvj1Rk8ev6eKUVSk+9+vdTa9z08PjXHLyICesSCGlIBExyPshD43NcXx/AqV0tLoXhqQLAb1Rq4oQYxoGcTtkLDMfZdwftxd09C2F/GPWrGa3Tcw7Jk/8ybcXfb1KWPksvh8yfmCSp56/kXSFUWl4rsDx/TGybsBIukBpXb5vpnBUCcJKKQbjFv5ADD9URAzJnrn5el6RsumOmlXmASEEGT9kz3SWdb2xonpHvSJNKf1aaZ9CG68GYhZjh0BCGUlXG8j6ohZDyeiSr3eosKTBycuSVUTzDv54MJH1MIQmo00V1WCPBPpjrcluf4oQYmmqbUcSltTOvPW9CQwBomhg98KQnRMZCk0awEKE4MbnBE1T+f4pwA0Ue2eyrO2OLej8OBZwNAnCZ6xI0FNMLdtMLaUWUzmP/rjNTM4tzwkCVVLHaa1uVHIuGQJss5RS81CfQjuQIkXVW9sQZdJrmRSzAHqiZksCbyP0x238MGyrv5zIeC2VlaeyS1MZbBcKPQewpMG6HokfqqpsGUEYsmU8Xfz90NrfWBjw1ks2V21r1rbqyAl/hOj4mqrxp5iA4Eg9Uq2jcuJFr6DvG19sSYAslcXr7oNE8xSr8SueRWYpBOEf/mzx5zTCEfowzl2VImpJJjIF/CDk93umygTApaIdh7F2LotDagw5P6A3Vk3oMwQNA3HbhbNnV1vHlSgoA1d/hD2VBOG6oxrgke1EpXHE+7relauY9S0SpsFTr7yQ/jUriH30gyz7pSZSLpUYXEI755bq6Vmf/xcO/MtHimp5igOzLqNpF4Feh/VGDfqiJmeuSPCrnVM8aX0PQkAQhHXz82YpwZvhSMzHK8uw54bbWHPpeeW/m5FoQuCrRaK0bUqmXvBS+r7xxcNbsBZwlaoj4p8+1IVbQSKMmKIc5KhQRC2LlUmniiBsVRBt1/bFeOLx/cQdix9vm9CkJSE5bShOX9xm1gt4YGyOUweTZUKTEAITiRCCyZxPMmqyOhlBAXk/QArBbN7npKE4jm0ihGDo0sdihWHTNmu6Li9/7dP45vu+wlOecCJ+qPjN1nEOjmUwhFYAnZpMc88OioQ9AEE8YpApaDGCUCnO39THhmUJLEOSKfik3YB0W3P5+QaWef6z2ji++szpv3s99oc+Sm/MrhJgiCE5eTBF5qwT6wTmK88302nWXHoee27QpNLaLDbJiLGg0m4jHEo2jtq+GWD2gMsaw+QvYgmuiMYxiiTJjAr5ZmaO7+UyTFa0R2nArsn9mKVgCwWFIODgXB4pBOYS45oWhY98CJ7/ooa7SvOzUIEhZNk2WolKEqAW39DEfB3HWNT+VgohIOP6ZL2Qh+64te3i/eqH36oiCP/sO9eQnZs9LORggJUnngXo/uvAnItTrHQ/UNiGwA007fmyzX38ZtfUku5xxhOeTL5CrnYgYfOUzcsIghZtVilecf7x/OCnN7PplNPLm6940tns3PZwg8MV3/nGV/jON77C1374C848+zF4gc4wGKlpSH5Qbc8uoRAE7J3JE7MMQDGZ9YiYAksKAhVgSUP3JZTUPXUDmR+DKsmlzQelygwtH/n0lw+ZIHzGWY/h29f/AiFEeewq2edLMGT9erU3YWMZBp4fEo+YpPM+bhAykIyQdX1GZ+d9BwVflYMpmsGuID43gikFEVOQaXFMCaVXk/NCTCnKtp5WayZT1hN7/QUmB5WE42jx+ZSi3PabQaHrtJk51DIaKx0X/JD9Uzl6YiZ5L6yaa5hSsGVsFkNKNvXH6/qbiZxb16r641ZFJqCSMFCAFyr2zxTqggGfuK6b8YzHpOsxPOey4+2fZMMvv8/537664XOEls0dX7iO7Fz1naOW5OBomh1FwvJ42mXLnil6enXGmcGoydjoLBMzOR7eN815mwbw5nK84qLjOZCR/OT3u4EeLn/6BqaExVTGBRnw+1vuY9Wybt7zg/8o9+WNxsR257fNiM8rJvax4o3P4Hcf/Sovf86ZzEykiUZMIjGbZVmPh/bPsGU4zfKUU7fmOXNlqjj3Fdz2yATjGZct41nuOpDm9h3j5eOecHw/454u7TmbBtiyZ4qD0/NzrT/smuLy04c4dVUXjikJFKzrc7jnYJr9MwXcQHH6UKoiWEf/nMwVmMjqsWRzf4yzViTJuAHJiIEhBXN5n4GYyfnHdeGFit1TBfbP5PnqnQco+CHnre1uWHtlheSiL7pDDu6ggw466KCDDjpoDx2CcAcddHDYIYSO2iwpCfcnIpy8PMXBmTwHZvNNz0vYxrxKh9LGiZ9umywbs0qoNBBN5XzuOjjHKYOtU8j6oeL6+0bIFALO3dBLxJxPnX3/yBx9Ma1mUXLcHZjNccpQirD4DBnPZzRdTQaezXsLGmCWsjYNFZw2lOLeoqrtiQMxhosE2eXb7l7CFeehgNmpDIMph3SN4WYoGWHreLbsEOuP2+yfyZNxg4ZCXCWDjmkIBhM2o3OFQ3JyqaIZ5O7hDEnbYO9MAUuKKmcPwOb+5sTb2YLPPQdn2TyQwBKyqsyOJclXkJYqsaIrekgE4fpnOQagBKcPpbh/ZPZPlgz4p4xAwXjGI2IIuoupDQ/Xa5QCemM207k/L3IwaGN43DbaJkgebQSKspRn3DLZPJAsjwWHC1HLQIjGCv1/Csh5QVspjY8FeEeRxRxZonLtXN7HsQy8YnsZTEQWdFqBVsKJWnocLo25UUsShIqwjcwKtTAE9BSDGkptt3L+NVlUWGtF4k05JumCv+iWEYRhU6XlRojZRlOCcKA0AWexKoPtopLAoYnC1fsNKcuEDFOKOlW6hXCSZbNMGgQoxnyf3//0hzzmkisPR9E7+CPDsdzDLtU3eLR8iumrXo1Iz9H7w+/Ukasq69Xv6uHAN69f+IKnng733bOoMsSHhhZ1/NFGzJJIAVvHM8QsiWNJDCnY2FeryqdrrFa9vBHaeb9dUZPpnE+hFQFoAXiBqgtYSTlLN72Km27UP9s9fon3eemHXrfEMxeHO8YE8dk8Y7FZMHt4yec+wKqH7gIO/Rtc7Pldd9zKTMVA2R0xOXEgikCUSQYKPX85/7guckWyWNSSdezeUCkSEQPHlISKBYOWDCkI2lykt6MMWBtUD5okvOpZT8bIZxr22eOrNnDdOz4FQNySOIYgfdWrFwxgqEPEaffIejRiTonqe/uBJirOB9YpNvU5eGGKnZM5HVxbtBnFbYNUMsKt+2axQ8WqpI00JZMzBdb2OmwYjDOe9Si4AWPpPCnHYiRdYNvIHKt7Y5iGxLZ0XyOVIETQG4WxTJ6hhEnWV5w7dj/Ga/+qKTm2Fn/x7pcx8cvb2TNVIO8pDkw1t4kCrO52mCsEzOT0+j9bCMh54aFl/dlRT05cCMavfk4qYpP3qgMDHUuSOetEoPmzV25ffel57L1hYeXZdnEo/cRk1qMnalWRlZ+toryuvwsDgVXBLuoWBi+Pp3hpPMVbpse5wy1O3ov26XsOztRdv8sxGVvEmmHJ8A+fHccNdb9WWSd9cYuCH5aJ6G98xgWLvu4HXv9S3vnJr6KU4rprPoNbaN3u28Vr3vdR1vVGmcv7PGZ1ipgl8UJVVtxNRgwMIfCVXms/YW0Xye4e5qYXRxR+z6euKfc5hoArztrYmhxcgWde8gSkNHjm81/MPXfcxs7tWxc85yVXPpnrfn0n6zcer+8pBTFLUAh0FihNAq3vLw0hGYzbTOVcnnz8IDk34JZHJpjM+cwWAlCKk5al6oKnZcUYZEhBuMB4JITAFIqSxsjnvnEtf/2iZ7RRG/D7rcMkGgS7GYYo9i/FMlWMdaaEXdPZumAAs5gx0CoGn3bH58VM4hGL/oRiPD3flhvVWQnRFuRgge7rcl5I4C5u1SPQ/qxS+6lVCK6EIQV+hXDLQj4mmFdIN4RWbC0d7gZaCbqV+nArsrQlRcv9OS8kUKqcOdQ0BOOZgg6YCgLuOTjLpv44EWkUCbGK/TU+wEp7TTJiIIVgJq/tM3fun6uzoVy+uY+cF7A8YbGxL8rOyRwPjGTYcdGz2HHRsyCb5ZwfX8NxMwfIPulichc/HYBBoL8fHhzNMJbxWJmw+d3WMUZrMkJ0FYNGViQsPvrV3xOEihNXdZF3A7btneC05f2Edox+I+RVl51Id8rBTjjk3IBN3Sb/9v9uYOsjI3z2d59tmcFiMdbJRteoXCc+9u9eypc+9kOIOcwBmUJIX9RkIBHh1FVd/MPFx5fPKN3TCxSmFKQLHmMZF8eUHJh1OTDr0puYVxpXSjGQsIiakrQXcu6GfnYXM93ds2eG1z95PSt6okxmvSqb+qa+KKcPJTAN0ZCAXmt/L83ZKm3SueKJlhScvTLBsqTF7fvm+Na9w+yfyXP++l66HJORuQL9cZuYbWrSu9D9RYcc3EEHHXTQQQcddNA+OgThDjro4IigRBL2Q/1veSrKUNJhTabA73dPMeuGrO6KVJ0TKEWhYtFYCODiTb24gU7jlPEC7t5fr4h6YNZlU1+MV56/ls//trmKMMBvto1z4vJEnapDrTMlUHDPwVm6HZOVqSjj2UJZpa4EN1ALklGyXsD+2WxRWVnSH49UkTcaISza3zVpWaexevoJffxoywS5VE/LcxdCLprkDR9/Fd1BvXE2093P9g9+jUTEYCrnYxuCJ67r1mnGYxYSga+0cXKuEPCrnVOECq46awWOaZCytSJe1gtwg5CMG5D2Qgy00mXKMcuKTFlf758rBIxlXPJeWGUsKRFx4rbBdNEgOJS02dxfn6qtER4eS9MXs1iVipWNcpW1bhRTfxlCG0YPN83BbJEq8mjCD+GUoRRbRueaqpB2cGyjECgKWa9IjjDaUshsBZ3CzTykNMd/7KgNOni0ETRxWrh+SHgEKFglR19f3GYq684rZwFJx8SW4uixpI4A3EAxXXBJ2daCZIpHG0dTQXipKAQhvfEIy5MOEdNAiiIxRktLgRANHWtBCLkalagSsSFUiyM4aAedsaCCb94LWwYAmFIsUcV4cR9E3g8bOvd6oiaGOLQ084cDUdNACFE3920GCTwnmuCqRJJkRfCVJQRb/v2f+fp7/p6nfPXHLNu4sek11BL7sj8Oqv+fJ1o53A8njuZwdKSeqNHab+51/8jc6/6RFS95OtbEeNW9Q8Ng7//+tKVysL6uRvzL3yRzwTmQybRVnvidD7VZ8oVhIFiejDCececDfRdAX8yiJ2qWn7lRUyoEIYYUKD/kt49M4waqJWFiIGbRGz12zJvLEhGilmTvdO6QAzWXf+7jSzqvd3Q3HLeRnBdUEQubfVNHWue9kmKYLKl4ptOHjRxcusdSidTre2MkbJOxTIGDNQQSQXVQkt+A7FOq43RBB1c7pmyZQctoN6852mbR6vMSNFfw3/f9X/DgaJbEtd/ixJtvIIw67Lvqtdw7cHzVcesryPeFFWuIHNjTVtkAuPE3Tcu1EBo9Vi3xcm13lIRdE9AkBAlbcuqyGH4IW8ayXHjSIAU3IGqbdJuSHQdmmc66pPM+K3scfvrgKCv7k+QLHqNTOX7lhZy4qouobZL1Q6bzHqu7owwl4hQ8hWNKHEuTvIbiDkoovJ17MF77V20/X2ke473yKu5+9Qfx2shk8+xzV2KbBj9/cJS7dk8veb2gDuGrKhGdGt07fevNi7qOARwXg0g8QVhU6w6VaitYucsxy0Qi0ONFcIgqtJWmgDWXnsfro91EmjCLnCIZ8aPd/fzt5CgP+Zq03RNpzy55pBBGYziWRKD7BoHOQhQESgcfhJoMVghClKJsVw6VXg+V0sAbAg7OFer6F6G0zSBWDKA4uGfHost4929/DsDEvt24+ewCR7eHV7zpbbzgRX+JUnq9lXGDcuAG6PYyka0naH/hpgd4/hkr2r5PsrunOE8RuEHAXD4gPTu9qLKGYcD3/verizrnORc/jrt3TQBaGKVE9AxQ5WwsplBYliwr+kohSDgm41mXIIRU1ObsVT2M79nP3NWfJtM/yNxVLyMSi3FwNk8yYtEXszEqyKB+kViqvw39LdQGJHhBWNVOnnjRk/nhz27hyqc+vuUz3bVjhO6uZEN7QcFTWMZ8OaQUTKTzZL2gTBqtRaNPtdzP+gGOZQA6I5ttSQputZpvO4haWqm5VAdOA5GRVlBAwdP2gCBUTYd6U1I3t62dG1jG/Cqi9G2X3r1lyio134XIwfqYxs8iRf07r0RlHQh0HW2fSJf9NSVsG8/Q7Zis7Y5x73C1/66vJoNdiRxqScGvdk1X+SwkWgE86wU4lsSSkrmCz0Dc4vLNfdy4fRIpBCduHCTxj29louI+hhCYhlZ9XtUVIZ/zuPaOfWwajFPwA4a6HB4e1irCqajNst4oB2byWKZgQ3+S3oTN2phHemaOqYOTeGac32wZ44z1fbz4yZtYMZhk73SO6bzHGU84l577PtWSHFxCqZ0eyny3dI0rPvx33P6BzxB6ITfcexAFPPuM5bzmwg3YplF17EzO47c7x0HouolZBvuL89y+mIXyA05flWLL8By3bpugJ2bx0Reczq8fmSLt+vR1xzhhIMaVpy8n74dMZr2GQWlZLyAh6gM2haAqe5YhqhXJK9EfszAMwUTGI2kbXHFCH7/bM8uWsTS37pku3/dvHrOa4wf1OtnokIM76KCDDjrooIMOFo1jx4LeQQcd/EnCLHJIAgUhgv6EgxKSO/ZPM5uPsrbHaRmhXHJ0mBK6IgZP3tCDbUruG06zd2becXPz7hm27p5csDyhgm/+fj8vO3+tVnBbANN5HynzpJsoLWbdsMqgVQtVvEYJvXGbhRJ3ekHAjrEMoJjOeqzuj2lFZSm473l/xebf3bhguZshnps30FSWQgHx6XFe/tqn8Yt3XM3vvRSFZckyITfrBmUHV84L+f2+WUIFJy+Ls282z8G5ApNZDz9UHJxziZqCiGUsSnGvESxDp+g7fUWSpC0XteifyHpM5WY4cTAJSqfKsospsyKmKP+ujejaSAGHJ9VnMnLsDK9+ACcMJNk1lT1iKc07OPLIeiFZL6xSWVgKehsY8v6cELPkMfcdTOZcwtAlahn0OBaGlPNK50fQ0DmRcZECIoYmBAehKiu09DVIv/rHhCJv9ZhnFh5NBeHFVMX63hi2IfHDkImsR8wydXrSENxSFFMRUevIW+O7HLPO+dQIaTfAaTG3c9sgZTRCuAgipCW1o7a7WOaS06/swD/i1dVkPqoUCu2gTDomYxPVjvrLX/wqrv/6Z+rOM4GP9PRzhhUhKuvr9nQ7wmbL4htXXQFfvq4lSXgpWAR/6ojjGCnGMYOjVR9L+WaW+pkdJc5zFQ587UdVfyciRtN1Zy2MigeN/+Z2Mlf9RWsl4ZNOIX7Nt5dSzOZlkJLeaIS0G+C1Mb8S6OCEheaiOydzgO7/022kdW6bqXcU0BM1WZaIEIRwyjKbe4ZnsKQgbkvKqdsXcT3hLm3ePrnjERhcS3/cRlDpmBdVgdpCwIUvueioVM9dq07lhDU9JByL7t4of/+Jl+syHIV7L4RlqQheoDg4V6gLAo8YkpVdDkrBgdl8W8FGjqUJwqu7o+ydztXtl4vo3ExD4rUgRfa1CFpXgB+GPPLUZyOe/yJG065WlaxAl2PSH5u3Xwx/4dusuvICDE8HNDUqaZnk8tevId4kmKGddt7OMWMZHdBYeWzO021aCIFlKNb2ONyx3wPDYKRYF1Y8wroeh+E5lzW9UR7eM8nWRyZYuyLFsr44U7N5JtN5hnrjOBGTkTkXxxQMZzxufWSaC9Z1E7cNjuuOsbYvhpSC6dMvbaPE9Rja+QB9CRspYHmXQ6A0Sdb1QzLF96Eqcq4nIwZ93TGMPdO4QYgfKoQoEsWEQiiBKv0EoqYoEuPmx00/DDAERMyFFdYXg8Kr/mrxJz31Aszf3aMbTXE6qYlt9ePG2au6CYKQsWyBrBvUBUgnI62fp9sxcQNVJ/BQhztuQ0BTcnAlolLy1lQPr5gcxXIkf/eWX1H/VTefsyRsg6wXNCX6L5Y0Jv/3+1XEwCpUTJxLS00pFEppdVJDCrLFcdU0JRt744xl3epsf8XCNMuIIiQsOyVG//EORkSSn/Y5cGeGuYP1/ZBXyGMYh9YGB4eW8/1bHmB4Lt+wr1uWiJByTGKmwT1Nsi+95p0f4OoPvHPBewkp+cJND5SzCwK88+XPXnrhFwG3UGBmZoaurq66fYWKdazvaps2CDKuz6ouh3XdMQwBD5x7Hmr4IAAxIAqEn/0EWUA8/kL2vfv/YQhIOfP2HgUVxFJNFi6JapQQhEX7vNR2dNOQnHL6GWwdTvPIzh1cdsHZBIH+nmOxGDfdvbOsGpxzG2fyU+h1tmUIlIKZvMuBueZpdjRhvf5LKZU87wWMpzU5WBXvC2AIhdFgTZnzQgyp15teAI4pCJSqK2fOC7VKqbEwAbeEEC0EECiwDH39WhiyWrUcAX5JRdUQGEJUBxpVPIAhqSMHuwuUzTZE036jFXFYiOr2p9BZu5rZZ6bzPtPDs/TH7XJgdMwymq6ztoznKASKwYTFaNpjZcrmzBXJsj+wRA4GvfaJ2ZLHr0kBeg5Qi0emcmyf1P1ZyoCbHhpFCtg3laPghwhR4LHrexjsiREKwb7pPJ4fcu6mQW55aATPDxmZcTnnrBMYjFqYUvC0VJStu6f4z+/cw7mnreSys1byi/sOcMuOOa5J39X4wRqgdg2wVNJw/97t3Hr/QVb2x8vXcwNVJgdXImYbWIbUcwml2DGRYedUHlPCQ7sn2Ts5P5qt7Y2yezLHt+/cy4irg0o29kWJ2UZVWwyUKs8vuhyL/piNEBCG9fO62mdb0xPFkgZZz8f1Q5YlHQQwW/A4MJvn3ttv419e9XwCb74PXn7cRt5xzc/YNZljRSrCWKbA8bQOpO2ggw466KCDDjrooDmOHQZTBx108CcLQ4JUOgVRqODpJy3j/PW9/OD+EbaMZTlhINaSJFwJbawJ2NgX5fTlCfbNFpjJ+bihIrW+lxvvH1nwGtM5j3t3T3P2+p6GxoRKtKMQXGn0WAgRKevS7QgB196zn1DB+v44P3tolHv3zxs133nFCRyYyvG7h0Z43J0/bus+tag1QNRCVBz35A++hu+98mrudkO6YxZPO2UZbhASKm1MnikEDCZs4rbBAyMZxjNaRWM0revgzBUJIqZky+ihq0Qo4AnrupesaBQqeGBkjqFEhMGKtEnaqFdtOD9hIIUpBfcMzzS40h83/BCO645xcC7H2J8xOfRPASWVhe6oiReopmpRzc8/tsixRxMpxyTjNnfMPRqImlr9ZbYQMFvwiVoGXUXjvCkF9400dnAdLoSKPzl1cQH0OFZdGs1jEcdq1c/kPXqiNt2OTcRovVxsVzHyUJD1grYJVY3UgfrjNijF+BLHv1oityn1uJqwDbLFPrgrqvsXN1B4eZ9ZdD+dEAIhBPmiElLcPrwkjXahgN3TuaZkiVe89V8aEoT/KdXTlBxcgiMkL4on+ezLLufKWxqn0F0q8VIK0VRlvYNHF8fSWHq4cCRU+2FxJOfFOIgrVRVBKwkDZK77Pvz7v0Iup1WIf/SLpgS+Zmj3sysR2tpVlF6smni7AXHt1PHR4hAXfFWeg2SKzu2JrEeXYy4pwM864xy6fv2zxRfkcU8CqLNTREzBxr5o+e/Vlz0WqQ5Fa3RhlFbe977jPzkLHZxWCBRmuLh1zOEuUyVufWQK0GSYSvtPKmKQ80OGEhECpdpSIuyNWXQ7Fpv64wwkHHKeT8FXpAs+KcfECxW2IWhP81tnVWqm7CeoTtHcaL9lSJK2XgfWkoMH4hYnDcbrztv3w9+w7FV/gbNnV8OvVgHqQx8n+dRL2nyKeYSV7a2NviPrBWRnqumY3VWK4YKhhE4zn81m+eZrLyY/O1V1/FV/9dd87BNX8/mbHyEfhGTzBe7dMsKZmwfZdXCOiUyBbCFg1dkrSDiStb1RUhGdccE2BLsnMuA1ooQujNIcNiska7sdkqZAKU34zRZ8/vcP+6uOv2BzP64f4uVcTEOQLgT85pHWNqonre+mEFT3L9M5nxMHE23bWo8o3Op+aKbgMZapJwLGLEkyYpLOe8zlg4aBvStTUWxDz0sFMOf6jGW0Cm5/TK9fTEPPvYfT+aqAFAFlktOad75xUY+w0bJYH7FwLojjxBPkmiggxy2DTMV825T6njHLIOcFRO1qyYjFKHaXiGTx5Qur4VaOiyUbtBsoCBSzrsdY2tVq/Q1I5FNZj4GEzVi63s695vEJTryyF2EILEe/hzBQbLioi7kRj7uvGSsThVemHEbT3XiLDHQxTZN7dk8hhCiLObgB9Dg2Xhjy8HgayxCs7oqSjJj4wfxz9ses8pqvyzHJezor01Oe/wrWbTyet77i+U3v29XXzy/v2oYQkj3T2XKg59a7b1tU+Q8Fr33Zc/naDxYe8wu+ImELhK2DeCddj6nTTqg7rrKtdd1yE6lLz0O8+CrCf3h7y2s7lqxT61bMr4vzXljM8iPZfPwm7ts7DWgSqhfUz/aaEVO9IGTXVLal4n4Jy7uiLffHIybjaa/OxlIm/zYg0AahVhqWQpFvQbAtkajbUekFGOqKlJW7BWBKScb1mSzOLwyplZsr17kCiFgS09CBzV6L8bHSPOFYWkm4EQm7BNOoVysuodV5AKjqdZ8U8MBofXbPWoxnXLock1ApVqWiSKH7993FoCmzqIg8li7wkjOWM5ktIIUoZ6QEHQA1UTEn64lqH10jX54OgJBlcjDAnK/YNJhg22iaFd0OwzMFprMekYiFq2As7TIUN7lz+zQP7JkiFbOwTINswSczmWbE0nOLuCXZuKoLz1c4lsHP79jHdbc+wgmruttSD25QpUvOlFQ6LylCgpzHqYNxLNtgZDbPd27fy/POWV2+B+g54MWbB9k9mWX3VJYLN/Yxft8Ib7twPZd9/Lfl6/bGLbxA+wH/8Mg0x63sJhUx2NgXrSKIg55fnLQsgUTqgO5w/oal8pnFIINQ6fc2lfMYTNg4hokUgq6IDREwhc68NTI9xzNPX9PwmQ8+sp03nH8cK9Zv5q8/dR2/f+AgT1jXp5/zUGWZO+iggw466KCDDv4M0SEId9BBB0cFQmhVtVBpo12XY/Gyc1bxm50T3LFvhpMGYy3ThjZCxg3ocUx6HJP7R9JklOCklSke3L8woeqmrePcsWeaoVSEK89cjiwSH8IwJJP3GZtz2TuZZUV3lE3Lky2vlfcCErZRTtveCrOuT8o2ywoouycyfPpXOwmBld06zdFDFWmYeuMWmYLPF2/eDcCLfvP1Be9Ri4XIwdTsV8CHv/QG7vvGz1nVGyPnBSQiJpaUjGRc7tyvyxczBWu7HfZM57EMwQn9MWK2wfKkTdYLOH15gofGsmXicLtwTMljV6cwDW0wOxzr/OF0gRDFUMJpedzRSpf8aCBQsCwZxTYN9leqg3TwR4mSOndfzCJTofC9EFKO2TLo4U8ZVtEAfaygL6aNpJVC649MZVmWiDAQi7B9cu5PkoB1pCEF7J/NMZSMHvOSn8fqmDOR9eiP2eS8EMeSuH7YtC2aUuAfYeKBGyh6Y1adglgjBKGqImHpVJaLm4eUINDkYi8MidmGJtT78w6rynnfVIOMCbVZFAYSNgJIREwk882zWapU/VMrfFceIoTeLioPRF9QCkHUlqBKGTy0CtL+uebk4BK+ffeBqvS7/VLytGi8LWU1R0qeEUuw566bOf0JF9Y/xxInc8dSukjjWCpMmxAI+uMLKcLX5hSp3qeKScoNIfAr1A1pcVarOx1Mu0znfO1MFfNpcxFlUUFNPCtedCJbn2JYCtjU14QkIGA0Uyi2nervRFQfRsw2SJbS1gvoUhZWtyyWQTWqjia3FPPn1EJpxbGEbdbtFw3+kgJ6WvMfyjAERYW36uvGr3gmXPHM+oKgv6l2hh69Lm/e5kOlyHialNUXs9taB8PiVFMPNxaaA64tVnyj/nwxyHkBQmgC9+7peQLcUh99+h0fWBRBeKHXGzElhSKbKvqD/z2i5OBSWULgK5/6yXwZLKNMZjxc917KTCSUhs6mYUq8IlFHFlNQJCMmWS/ANiXjGY/pvIclRVsE4aGEo0mACkZn86QiFlOhDqouzU+cqMmqrihuEOD6IQU/xA3COmJTf6x1wHo72WGG5zRJp1G5N/VFqYw1iJiCIFD4CkY+o4MO4t+6hp5rPoMIfMJ4kv1f+C4kEiQjBj3F+lBKkfF9RuZ0/xu3TRxTYAhJzDLL336oQiaybrnMyYgkGTGIWQaBUqQLAVFLLvgdmlLSW5HxJAwVX3/jlUzv29Hw+C9/4XN8+Quf4/qf/pwTzn4sL/zQjQz2J0nnPG7fP8fJK5KMzBVA6OdZ2+0wWwjoi5nMuR7JiMXUWee0LNNCUAoeGZnj9l3z5OWTltcHb3zmV49U/b2YTBaVkAKdESQALr8Crr9ucRd401uWdN9mUGiCPUDG1SS+SqGC0lz/1zvGMU3ZMvNHbSCoFyiWJSIkI3qsDUL97CnHqiJId0VN/EARteSiSV0SwbO6Epz0+h82Pc8QgrV9cfbPZssk1aRjMpX1yXkBgYJ0IcCJCSwJIJj88ndYfvFjFlSRLD/FW/6prfLqIKLGbSfjBhSKlbg85ZCwDGZdn6mch+vrfmgs7WIZglRFdrTNT+9m/YVdmJHqwEFpCDAEXSttzv+7Fdz6iYNM73Xpjdr0bFjHilWr2bVjW1vlFkJw4cWXEaiQ0XSBgq9Y2xNFIoukM8lpQymE0GvQEjlYCrBNSbdjkfECopbBZNarIuE99oIn8+CBNOl0mqc+5gTSs7MIaXDhM1/I3733P+mO2sRtHWi8oTeOH6pyPR0tHNi3t63jIkW12zDU69NG5OBKVLWtr3+ZzC9uJH79zwFN5AP9XZXH7ZrxoqRQW7lVodV1o7oxF9VmRcP5sNFk7BQI+mJ2Wzbqvpi94DFxW5JpkHlCNEkvZUjKbb4VSkWv/E4tQzT0Y5kSorZB7RedMqyyYjyoOqKxbTZX+G2FoNhGK8cKKebLXPLFNYLTRDkYNOG20fNJKdq2Uyo0OdwLFbZUJGyL05fbTOdcuh0bP1ScNJhkz0yuzqbdULCnQScpBUQtgxu3TdaJHyghSHVHuWggju8FdDkWw7MFfvXQKP/6mdfTndPBN5W5AVzD5D/e8Bki3Sk2xW32TGVxPJ8f/V5/m8+4YAP7Mj5POXsN920fa68iGuAfX/lp/uPzr17aPFgpfvcPT2bzCUmyp13K4JmvZkJInn7aUMPDS99lzDY4eSjF5sEEphS85eJN/OeN2zhlZYq+boc5T5WPF+gsB7fumeX847rKgfE9UT2nG0u7SClI2dpfWDov7XocTOcp+IpVXRGGElHSBR9TCsYzLgJBb9QuzwulgELgc0UTcnAlDux8mI+9/Mk8+9++R+lrPDYtqh100EEHHXTQQQfHNjoE4Q466OCoQWiboU7fVIwiPX9dL6Npl3uHM5yxPNE2yQ20UzfrhggBYxntQFg1mCwThB1T0Bu3OTDTOEXVXN5nLu/z4P5ZBIKd4xl2jmWqDMinrAgWJAin3aBGwaQ5dk1mkQIm5wp85eY9xVTdcPGJ/TzxhEEcIfjCLbt5aDgNaEemY0nOWJ6gUFTQW6oTbTHn2YGPlJJ7D6Y5fUWC0bSLJQWDcYsrTujjpp1T+KHCDUIu3NCDLeej0UsEFCngpIEoJw/EysxjhU5RtHu6wO7pxgbAiKlpM4aQBIfJY5hyTMbTLqNpl9VdUbodq6FB60gZFkoO4UebC6YUdDs2jinZMXnoCs8dPPqYKDo9BhJ2WyS9INTR+0cCmkR07BKosotUWz5URExJrJheWKEdD6mIiZSC2Xzz9NrTeY/JrEvMNtCUiqOPP0IeXBmBgsmcx4pU9JhV6H004AchvRUpxVtC6XTaQujzDAm2lFVOfP2LAqXnKbWobUKVr2IRU70yZJttskS+6XZMDCmYOgTVfIVWFK0l+i4VY2mXqCnZ2Jc4ouT/XIVT1DIEk3mX2TZVKz996x7e9pwLmDm4m+dFEywm6eVyw+A7r30Fq29trCK8FBxL3/AxVJS2EUKV6tKhoDtqMd1ELW8xGE17bBs/tDmoKQW9ba69WmF5KoIp5lXzDCFJ2kvNW9IapnFkgikOzuUZaxYEsXcHq1/1EmTFAkQBU896EXOvfnPL6w4mbNIVSqPltQyAUmVSCMC+mfYDD4/l6cXGgSTDs0tTCK3EqUMpghCynt82cXohhEIiVdh2/RVWNHey21ICulwDV39kSeVpm8hW/P0rH/pu1f7+mNX2uNRuedotWyWy3/whUcsoB/44pizbo0pE3smMR9SS+EGIGyh6ouaCNqsHRufoj1ms7Y5RCEJ2Nlh3JyJWMUCh8bqspMyY80KGEpq8HqKYKXhMZFyE0H3hQqT7rFdSewxY1e3QHdXBpcNzut9QCGKWgWlopdwghJ/smqAvbnNcTwQ3UGx/yvMwLn4eEVOyImGD0CqpEdNgx1S6TK6qJOHnPJe+mMVEtoAhNclQoOfoiYhBImKglGI6r+s+UiRig1Zb7YtbTGW9pvOl2uCvNz3rfKb37WxZFwCXX/IUfvarW+md3U1EpJh1Jzg95tDf1cvygWXc9cgUSiks06QvFeHAnMHBPePE92yvIhAtBYr6IImFMppBPVGvhJgp6U/YDM/mMYSoCjy0DcHx/YkyeTL+/v8gc/11i/o+4lf9ddN9SxHse7BCcXJZIkJ/XBKoEKEEsoLAFkJLcnAtoqbJhl5NtFZKzx0DFBKImSbRlEHG88n7AQNxm4mMy1K6ZlsInk+cfUPrm65LhNDZTIaSUcazHn0xq9w/VU4BQgT609Qbd3/n56x93lPmgwcbXRvgymfT//KXt1b7LB4btlmF+2bybOqLc2C23m7uBYqsF3DZ8/+SO+7/bkNycNV9pcB0BOe9doieB59UfKeC17zxLbznn/6eXHbh+Z8TjfK0l/wtD4/Pa6wX/JCoOX/foKLuYJ68mvdCYraJKUU5sFRVHLMsESEIIZFI8LsH9wEwkS0wnC6wulunvS/xgaWQ2AbYhlYSP1qBvbbdmgQbtSReGGqVX1MTOKd+8L22r19uW8MHyL/5b+n5788SqmqyqlYEVVhGMShVCKRokQNC6DVnEKo6pdESSuRgoxhAZYjijZQe6/piNgq4b7i54EvKaT33l0I0JAeXylh/vA5O9Bbxag0hcFFYRaXk0s9KLOtyGt5QCMHybi1aMpfzKPjz6yrbaE+ZuBYl9WDQ3+t80FOILNa1EAKvQZ9hm6LpfMZsZXxp81tIRgwyBZ9AwfaJDIMJm/6ojR9IErZVbhNzrtcw050pJau7HEwpGc+6zBV8lCoFuulyO6bk17umybToE6UUxCMmP9s6Rt4LOd9K808ff015f22orB34vPNjf8V3z3suNz/+WRTGZ9l2YL5djo/Osm3PNAciJplDyNB3zyNTCx/UAnuCkJEHZuDBb3HR3l8w9NLrmK5RzK98UynHwi12cGaR0Pv005YTtQ2iEZPvPjBaNSfxQvDCEPyQnzw8wSXH92LK+gCuacOlP24TKOh1bLJ+UG7Lfqjt8KWsY70xi56oVVXnWS/kvE2Nic2NMDu8l9/95iaCF5+JIcWj7mfroIMOOuiggw46+GNEhyDcQQcdHHWU1IS9UBtGn33qEJ++dQ+/3zvL49Z2lR00CyEIFeMZl/tG5g2HE1mPp525klApoobk2jv2MZSKsCzlcM++mYbXGZkpcNfe6n0SOHllises72mrLNM5H1uCkPOGCkuKcoqqlDPveAoVDHVHy+RggFt3TvPQcBovUIzPFThlRRI/VIzOFtg6nObyM1fQ+4LL2yrLoaJkRBi74z4OrN7A2nxAxBB4ocIPtdrGJZv6dLo/pZV2mr2yKodHUfHOELCuJ8K6XgeF4re7ZsrGctsQnLos3pajZLHPVDIX7Z3JMZ5xOX4gXnaYlBAq2NAbO2zkWVlU9iqJ9i2YuusowTFNThxM8NBo+tEuSgeHAVqVIWiZXvbRQqWy06ONqK1TBB8txBqoX023QYYoVBATkhGDdCE46sS0hZTRjnWECh4YmWVlV5SuSOOAkGMDR48qlfXCthR4S5isIQKeMJDAEM0cwour4FAt/jscz3j0xixyXtDWONrOt9YOZvM+/XGLrBuUSTaHgpwf4oVhi7o8vFBAX9SmL2pRam9uEDCd91BKfytakXi+fC/57x8DcMHfXERkEeW0EJxrt87UsOjydzw+hwRxWKvv8FzscPR6S1VTrIU8in3w0R7IV1/+OGSRHVT7lL3f/wa93/8Gu7/0Axhq7JANlVpQdfxYQjtNwjSKBogmuGf/NLZxaG0i5ZiauGnASG0WnUNoA3u/fWOZPLYQMVcBw1/4dvODqpfnS0qLXPmzwWXrrvnytz6XL31Iq87CoSlJN6pGBez50g/o+cInSP36Z23VUxCJMpHqo9KQ0YgoE0LVvEMBA3GLsRbBF7YhWJmKFW1BgtOXd7F9PE2m4psyFoh8KvLq5n9HE0XH0m6Z4AGaKNMdNRmMR6qUeUvYXyT9FQLFjol5Avy6HodN/TG6HYuxTAGKp9mmJOOFZKbz7GkQ0J20DXqiJjk/qHqeVghCxVTFvLIUfBC3jWanMJHxsA0delqrCFiL8fFxDjyyMDm4hKc+6XFc9tqrmRqbZGY6zT0PPsKr37qOgwemMCM2w5NZrNAjGTHZO5Fneuv9fPLGjyyJFFuJG37yABc9dh09MZOnnDjIULeDUooLTxgoKudrNe99sy4z+Xn1/MGETdoLiVpGsY/SyqFZN2DPdJ7LNvfWqU6u6Y6iVHVp5fv+jeDd/9Tec3z+mub7DAOCxY0PXmrermoZgoznVwWhLAptvogQXaej2UKZUJ5xA9JugCGgXru5NTyl2O17dNtGC3ul3j6RLRR/enQ1IDXWnZ1IsPuG21jx0mdgjY3UX1YacN3PiA8NESqFHwbYhqFjNWsOLal+hiicIpGurr+uKcC2iQypiKltvDXIeSF/864Pob70y5bk4NoypHddT1hUZb/0WS/gmi9+li0P3o/rNhbwAIg4Uc684GLWnnxmTRkCehyrXO9eoANmDENQ8KrJrQJRZxfrckzWdMUazhVWpByWJZyW9o9XvPbNfOG/P9rGkx86rnjuXzTdJ8X8eGRJyv4G3t2eqnQtgl//mpyng4ErUaoK/ZnrmUWr+ZHrNVfgVUoxlnFJOiYx09AE/kDxyM4d/Pt7/pGZ6Wn+4mV/zTOf/2IAThpMVgUTVGIi47Kyu4UrW8CqHod9U/Vjl++H2EUyrw7W0CRYBZhStRXAbBrz9V8iBfuBImLqIMBAQTwisc0WJPpiG05GdaBUidS71GmRV1Hw0nurnLMYsrEqsW3obAHNYJmiKugYdJ3tmso0DVqpvX5JNb30t20YCCmKAjN6e0n/1TEly1MO+6ZzrEg5dDtW1TtZnTJQKNxA8Z3793N8f5SIKXlwJNMyoLg/ZrF7eJY/bBktb3vhf76meO96VAbEP/e277Jr2Qa8k88sE4SlEEQjZpFUazA9Ml4+fjGvcCzRxxXmwUWcUY100Z5WAFCKX948zkXGM9jRfyOcuarhOX3xCH3xasEAKQRPPXGZrlul+OGDjRWRZZFo3ojIHbWM8lwz4wYkLD2304EqIYKQnqhFl2MSt7R/wJQCQ8JU3sMxJG5+cVkuH/7y2yj815uItTkmddBBBx100EEHHXRQjQ5BuIMOOnhUUCIJu4FekL74zBVcfetu7jwwx+lD7SkJF/yQZUkbwxDcfWCe6FhK5bahx+GsNV3cuWeGJ377v3jllt/WLdgn4j187R2fr9p2+qoUu8az3Ld/lvG0y2WnLqM7biMXcOK4oWI666FQGELw0GimTCZZnrQ5Y0WieH+BH4ScuqqL+4qk5e6YVSbSRS2D+w9og9j6/hjfv+sAH/786zHnGhOcW6HkJFyKrWnFTT/kwEvfzL6ZPOeuSiGFYDLjHhYSYskoJhBctKEHL1TII6g/mq9xXuX8gHsOzrK+N0bMMqsMxYnIoQ+NlcoflbcupV/zgnmydeU5S0kntlRIJKcOpbh/ePaPUhWvgw4Wi8msR1/cOmxqigshfQhqEiXMFQIStlFUVmfBFMIdzCNU2hGhVCkF+6FfszJV458bxKGyIg4DJrOeJqUcxbHSCxTjGY+UYxKFw3LviWyBFaloXZDSkYAfKGKWUS63FDCd88pz5VrYRQ/xpr4o9hI8lSfaFpmFD2sbxxI/2BCCqCWRQpRT6FaiSmFbUUyvO7+1lsShigdWf1qarS0ppvYU1dcun1tzv1rlo9I5RnPuVQf8cavll9DoE1l92WORRaJZLSrbzdqXP5Pd3/l5mbT5p46FXvd4xqU/fmiBbbN5n3sONlG/W0x7Gx2F3dvg3CfovxMJhr96LUMvfUZDhclK0u6eG25reelD6VdLp05c8XyGX/V3nPyMx9eVpRal4OOr3vpcbv7fX6PQdqCNfdGWapnN7l/VjwrB3k98GTZuBmDqHR/AnpvFuev3LespsCPs+8FNbd61vhSD8RjL4lEdYFMOsin9okBVp1IPQ1VHpjXb6YBq3pUhNRl4tIZ8nrAtLGnQ5Vh1a4V9DbJpRQzBmm6HoWSEpG0yW3Ap+ApTCh4caT2Ku0GIFI1TxddhgUdcSBjADRT9cYsw55fV5xrhjU9/zMJlqcHNj0yRys2QOvkxnHj+Gh7ZPUlPbwrX97nljj14227nnNM3sTXoJZZarcflRd9Fo1TyyXQBNwiZKwaxOXZju5PM+KQrCI9KiCIhvfHczahpSz1Rk4hRf+3kM57NjBWBf/r7lgR/71NfghNPZbbgYUg9l3SDED9U2IZEfvt6rOc8rcUTV0MB+791w/zfSospLBmLODVEValNl1TdA8Wi+x8fxXtmJln+tjfwrv/8ZOP7hQo3DMh5AVFLEreNsjJ2Ozjw1WuRApIRnQllVcopBxVKqW2lUzm3StBgZcqhJ2pjSE1SNKSAQOH6usdstA6ubTPQek70qb9/FonLLdpeujiS7iclmMq79Do2pmXz2W9ey9++5Dls3XI/2Ux1PyOkxI44nPOkS3j9v368bo49V/ApxFRd4GCjfkG3U1HOcAewqivadA0vhaCwgNzy2//5/UeNIPz3b3sXXvE9RkxREtlFoIMt3EDP7w6XTSLzkx+TeNplCx6n30njmwaKOiXdIFTsm8tx+75ZemMWT17fh1Lw6pc+h1///KdV599zx+/5pze9ilgsxl07R9nYF2P7RL1ox30HZ1jZFW3RWEXTeikpdkvAsfRxJWK5FDoDZUnUpDRx8cKwvF63DK266td8TAp9HceSdNkGXbH5oNxWEELQG7cYmXUJlSbyRm39stu1N7QjQNKsqoRonqknZkmyDZSYM8XMGAJNvJ3KeQ2vEbMMbtkzQ9oNWN8b5dRl8XImBBUq9mfySCHodWyitoFC0D8Y0duiFn5QL1gghCBqGdy8TRNyt463zvhhSUGXLfnZ3furyvjBT2hl/IXeUKm1v+XaD/Hhs7/DxWetwlDwpitP4Yz1fbh+wMhUlqmzTm7rerXY84X/4w0veNIiz9JQSvGNTLXYS0Epbv3NGPalD+MFJ2PVsv6LKD3XPfunyHkhy5IRHNPgwZE5vCAsZn6oH7OeuqGHIAyJWQZRW5Zt6gnbqArMnyv45WAChe6nHhzLcMqyVPnbVEqR9QN2Tmhy9/v+9oWLr4QgYDbvEYuYf7b22Q466KCDDjrooINDQYcg3EEHHTxqEEIbWbxAp6198Zkr+dY9B7hh6yQb+qKsbiMVtikFq1LakHDn/uoo8+GMRyJq8V8ff2l5sV7rIOrLTPHGdz6Ha575JiYe8yS2j2a4Z98sZ67u4q69MxycyfOF3+7mmWcsZ9Py5EJPRFdE8sh0gUdqItYPzrkcfHiyattxQ0nyrocf6lQ/9+ybYTAZYXRu3omzczzLExgtk4OXYkbPIogvgQI6vPEkJHDCQGxRqoOLRU/ULBrNjww5GCDpmBQaGOZ3TmZJRUzW9cbn0/4eBuNCM2Ul0MY+KRob86KWJCgavTW5WB1RY0cYwmnLUzwwPMsSspl10MEfHSYyWsVn5jCmNW6E/sNIRE4XlY6ApgbbDuqh0I4FYcFUziMVOTTST8SUeEXlGSkqFHsOuZRHB4d6pxBNWmyGmbxWWpPFFKyHOxNACVM5n56oVaVEdzRQUhI+HAThsYyHKSW90YXnuYcDlc7zUEHSsZoShAVw0mCMoYRNtt3cxKVzhaBPGhgf/yCzb3rHoRT5mESXYzEYP7wKyUcaWf9Pc7w4XMTxo0lAb5GY+ZBQ29OmPv7BpuTg2vMUsPp5T2HvAoTSwwlLCi5c19W4MEX0xmymsi4IQcSU5P2wyLtsXosJ22BdT2uiswJWpVqvp7O+vygy12JREuCrJJV2FdfC4rc3sfr9b2tYPndwiMmvXcvuG26j591vIfn731btV8DkS/8W85WvggXmuIc6OodA+vX/wNq/ekHb1ysds/2BXTA0xPKkzcE5F+dpL+Kcn3yjrfuWyMF7briN3qhVl+mgBPdjVzMyNs2qF12G4bnVhGJgzwf+C84+r617NkKJWKco9iHlG9TeqeIvpe1WlYSXpagohyokV0M0dgNFqHzSBa8ue0Le12SoytHcMSWPW5MCYO90jnU9MY7rjvHweAY/VGzqj7G3hlRsCDhlKMHypE3BD6sUjFuhVqXdEDoYXkqtXNiOAnHpe4xZBo4lkUILBZhSYBuCsbSHV1ic8hzA7I/fzYXv+S59ywfpTtgku+MEfogKLZ521kqMjTaeHWfDsn7cvAvfXfQtquD29vPel55DKhlhaDhDrAk5GOpTuy/UVmrbhN0kOkgIiD/tMnjaZez87GcZuPoj5TcUArPv/jdmn/BkbX+abV6n61etIFyEirCIx9nUH2c84873fUITzDQjT38XoeKw2h2V0sRmowkRbuxdH2Tw/e3PV/f6Plt9j60//BZv/fdPkIwYdeIJCsW28Xny60LrhkZlCxVlW0UyYpIoKi6WDqxtD/tn8+wvvi/HlGzojVPqdU0pCBoYFKsvoTANiR8qEhGDiCHrBDv8yR0YQZJgEcvpbLdgeK5Aj2ODUsQTSb78/Z9w869/wZeu/jh3/O5mAt/HsiOc86RLuPJlr2bjKWcQt038MKwi+EYMSc7z6XKsKrXgZhhMOOyb0QTCvpgFqvk31Kh+orbUsR5KK8vmg4BTz7uA+277TfsVsAQ84QkX0J+I4AUBM9nWgRELCKu3j/e8HdUOQbhiXCsR/AQQtyWOWR/Au3Uiw893TBIxBM87ZQil4Ix1fbiF5grS2WyWzUMJfr91mDXdUfZMz5NAo6ZkU39Ck++b9p+K9AJzoBJpsbId6Yw6AtcPy/b4+efW53iBVq5uhu6YRdQ2aHeWpZRiJusRMQUFX5UJuYvJZLHQOiZmNyb6WgYtvyO/wYUFsHtKk7YVWrjAbKBCHLcNfrFjqiyW4/pK9wFFzHleOchpMB6pCGIWVW2oVC+l+i/5Tx67upuMFzYkkJcwlLTJewG/3TLKpacuY+9kjnv36eC9ZNi8/TV6ZoDdkzlsCd961WPpTmj7jW0a9EQFi5XxUUBg2/QlI0vL4qEUOaX4YqY+GNFTCvfHr4M3P7t8r0qU6jJU2s80nnGrAmgATh2K4wUK0xD8dtc0gYIVKbtMhIeArBeU7dK2KalNKVqyAw4kbJRS9MUtZgpeUVFaMVfQytmOKemJGOx84J5F1oJGtjhOlebjfwqBvx100EEHHXTQQQdHCx2CcAcddPCoQhZJwm4Aa3uivPjMlXz8N7vYPpEj5Zj0x0z8oLEzUKCdA/eN53CDEEuKKgNaxg246rWXNV10Vyoo/eUPPs5PTjiePWY3cdtgx1i1osG9+2Y4biCGZbaW4hJCsCIVqSMIl3DWN/+bVQ/dTq6rjxtf/A/0DQzwu+0TGFKQckxecO5KvnzzHmK2wchcAduUvODDb6kq72Jxd3Q1T8jtWfR5+x53CbGi2u2RQiqyOEWNpWI84zU04APMFnzuOTjDSYPJebWAQ0U5MlorJNX6BcImqgC12xxLHnFVYT+Ak5d1sXU8Te5oyBl28GcF2xBtqLHNO9ob/9VsBCih1f76fVK0U6bGkEI0SW0+Xx4JZL3gsFOBLEMcwTCKahxK6udjCZmCT9Qy6I3aBOGh0bOEANsS5D2FZWiHS84LD4sS39HAob7R6bxHr2MhZWOa8O0HZpnOefT8f/bOO06Sozz/36pO05M2h8tBJ51OGQESSeQoMAKDMTkZsMEG7B822BibaDLYBIPBNmDABBOMSCLnJJRRlk66fLe3eSfPdKjfH9WTZ3Zn9/YU8Dyfj3Q7M93VVdUV33re53UtFks+f3D6GFaXa08cd49Hy3zBw5T0FIIUdJuRovPB/JBrd7hj/WEI6g5QEeKmyZYBl0NL7co7w3ELy9B5ng3DVZO9BZD+0fd+LwnCfdxzsF4jwMki7XaC6LqeqcMxNYGwca7vqvzVJY3Byy5dRZ6Wd/w4KRDt6tu1zESQglrBm/bxovsqSAjR89tc7rqTufoRNBB6GkilChh/1Qtwb7ulYx4UYE9PMfGYCzj4lR+x8Jb3sdDlGSmlSDnN9opQLa/Uqjo8czlUtu4AIHn0wCru0nje217EZz58WY2Ac8MlL+T8731hRVJ7tboOfvjTwPIkAMsQDI0NkvvBb2qk8jD6VymIN/ytGn9X1JTel2sjnZQ3V4J+XnOqvSyRil5IzJKUvZCqC3Hru8xEZCjbEKQcA9uULBa0qt9I3OTi00fwQ1Uj2quojXz39nkGYyYFL+SBWwZ44NYhDiwWmyKgWBI2pGOcNR6n6IeUOyyAbENw6kiSghdwJFNkU9pl30KBsybSgGKxWEFKUYtmkGvIf9I2NMEoXLkVFjxNStH50s4DSyWf4bWqfiufknQplTxuPp5hbKzM2aeNE7NNJgddSuVJsoUKg67Fzg0pfBViidWPmNW3vv9TX2dMQMwx2RjofxVAp3WWgKRjkLR1nU1lyyRsg8mUHa1FRUQia6+zhG1gSIHZSDJTiiBsvrp4yR9z8BKt2qfVM6UmdPUwkFpSYF5xA/n7nrEyQ822Sfz8Sgq+t6Jz32jCZjLlVKsgIhNXLQM6AlcQKspBgKzS3oVoIC7WIy9Uwznsmy90LVLxIY/SpKcwJLZChyypkPdk6iPvgdtu47Qzdrdd1+s8NOTabE7HAfBVyGLRq5F8QRODvSCsRfZofkb3p5T8kIIXRFHStNqsJSFoIcgOxixcU3JgscR1x/KcOZHEjwjfFUMT8AsNdsg1mQaiew4sakJ8lYg2duYDeMNHH0TcligVEiqBa5nM5cvsGE7gmAZSwFyhQtw2cE0DIbQ6ctnXpDI/DJv2Y4bQ7dg0JPotmByOvp9IOhhS6Gtk8zoiVEqPxQ3DaswSFFtIlQaCf/70V3neYx7AsYN3rKEyVsbI6Cg/+MnPdB7Q/fh4ptLxWtuUHcfjNcHrzR4/V6xwYLGIIQSDrlV7n1LA9qE4McNoGsuqEbDKgWKx5PGk+5++LDm4ERecNsnNR3NsSIUslXy2DrpYUhKGsFjwcEzZ0SaRK/m1ObET9PmT6EiOrdriq8TUKnrp01uG3ajtrQylFGUvYDZbxgt1fhrz10pQ7gYBHSNvupYkCBWB0qRjywBLSipRFENDaLXibuc83VSJQ0IStglCOx7MFzyt0uuYNcfjhG3w7Vvmak5JAr0OyXkBvgoRAg4t6nEuHTNryuYxs93GWlUC9wIdebEc5ckyJI85ZYSkY3Dt0WaRIIDNAw7Ho7r9q8eeSskPOWPTAEGouDG6frXD2Ts/9GL+9pWf4HNXHuIVDz+llsKBBz5olSlpTH3j52Rznfv2cqiuWZ8xe4xOrbygFDM3ZjFa+kZ1B1pdi15/dIkjS+1nlnHLYNNAjHTMYjZfJmkbmjQfrSEbUfJDxpM2S8X2nCilGIlbzDSU0TZ8LCnIN7Stkh9S8sOe581WnEgggj766KOPPvroo4//6+gThPvoo4+7HVKAHZGENw3E+NtH7uKL1x3l6iNZrWA7Hmdz2mnznk86BkUv4LRRHapIALlKyPF8hUzJ58I3vqInj9zqZvmx7/pzbnzrVxhwTfLloMmwtG+2wMd+so/HnjnBrokkcpmdqCNbKG1TUzz/LS9ENm57Z47ywre8AAXsPPeRbH/3O9mzMU3CkmwYdPn+9cdAwPFM+YTCGQJcWDq8qvB5VcNBwpacMhwnbhl4QUDcNpFCh7ZcKnrLqhm0whBaxbemhqIES6UKmQ6E3ZMFs9Xy24KbprOMxS0mU+4JP6vx7Nc0JN4qVfiqCO+iWElaLSjBgcXCSVdWvSthCkg4J18tto/uKPvqLlf6PJmIRwbz5XpmyjGaDr/XC0nbZLawekPy/2XMFDxmCh7bh+IkrBPb9lSdNYRYWUGmV9yV6pVrwXDcIlSKxaLP8VyZhWKF00YTOIZJEIZNzi8XnzbKLTN5vnWrDvv47VtnuPi0sa7hDU8E2ZJP3DYotPSzdMxkcypGqODgUrFGJFkv2B0Utbqh7pSkmEjaFP2wtq50TBEpeq1r9joiUPrQrVHx2jQES+XO47Ip60pam//jS/Dnz1vdA4WA8PfT2eheeQa1jGLa3YX18j9ZD6Xye94YXCXKrT5j5sF9TP7Ny9ekRjXxsmdy/ONfWPUzTyZGXvfnJK67spnIAxx678fgrPPuplydKDq/GfG2N3YlB7d+t/Vpj+TgMorPnZxhXav7PBzEEhilfNffO6Gxray2rcloT5x2TKZzeh46+t3L2fi4C5ENUXSqaOwJB974buSpu5FCkCn7miAUEQhFRA4TCOYLPn6oGE1YzObXtgeMWwYFL9BpCh05YixhMxp3sAztLLZatHJxGtV1XUtQ9BSmjNTlGtYHJU+T9RCKI5lS1+hClUBRCQLcUDHoWigU84V6+QUwEDMpeQGVQPGArQOAtl1deSTLLTN5ztuYJGZKdo3EmMp65CsBO4diFLyg43i7ezQZ2VggYZnsGU/hB3DuhjR+oElIjmnUCFmta6jG/VLMlAzEdCQKTeJTeIFCCoEhNdG96nS1UPTwons7ESh7xe5d4xw4NM/R+QI3HlwkZhqMjCY5c2OKBeCqg4t8/12PwSsUeW7B5UXx9KrmnSrtef6Ch/CJn+/n2Q/YzKGsx4HFEhsSFnunMpy1eYDJgRi2KUlYBmU/oOIrcuWAXEt/9gLFQkTGGYlbnDOpCaaDrkWm5DPgWszlK+QrAUdbFIClgLMn02wcjDGTLTEStyKFVkW+EqxSjVTXQeKqm8j/1Z/DT3/U+bJnPJvE3/4DQE+RdUwpGFkmukbR97lzvtAWTWdqaorLPv1vWLbFU17yapLJJKYExzRWnE2/+Od/yfw73sSLk2lsIdocACpKE+3esDTHtV59H/7ht/w1b/7k/7al16szb9zS/aLohTimZDIVY8S1dfsSClNo8Yu17BVilkSh2LeYrxH9BmMmE0kHU2oHEksa3LxQ4Gf7FgFNSjSjvFcChWVIHBOq/gJiYCuhUSdID80rLrgyZPsBhelDNglXnS+5+XRBGBEe44uKuCWRQrSpVJaDkHJR523HUJy4ZTKZjOGH2lkjUDAYqY7qOqi/Sa0grom8VffpohcSKGp2V9MQNcXy+UKFQdfGELKj7K5jCixD/+cFYcfxXQiBa0k++PWf89sff4/3/NULe38hPeABD3gQP/75L5u+izsWIwnV1ne6ETjXDMvCMvSaeLltbhA50vhK4Tc0zFDpyHxjCZuxuI2IHCmchrH5M9ccY272+Kqy9c43/S1v/Kd3M+yGteeAHn0OzhWZGHAQQjvtSKHXAcWKnrc7zZOupUnVZV+TwhO2QbbUvmaqOs9VS2gbAiEEQqi2tmFK2Dwc72leCMOQpYLHYguh0gsUcVviB5rQL3sYiwUQs2WNyB4zJQjtYFhtG64lKYZhk93KNvQ7bixHlTStlCbQd7JxmYbgumO5pu/0Gsuj4IVapVvocX7XaJxSFHUrRK8vbEMSMyNXjqkptrz4qRhhSHX1mb/gQtIf+1RT+kEIASqymYRNkRAMKXjwlkFStsGvDizWuvW2oRiHF0u1z9V7FLBhIMbSDb9buXI7wA11H7zu0BKFSkjc1uOoWlpaU3of+sEdvPii7Wu69yelIseXOV/KlQIQMP3f/8303/5d02/W6aez+/vf49xNg/hhyNGlEkpPOQihx0BDCDw/JGmaZKSH4xh4oWpaj4wmLJZKPvlcq3IwpGwTQwimG8Z8AewYSuh85UpIoR1iMyUfBZx+nwu4+uc/WHVdNNr6Vuvs2EcfffTRRx999PF/HX2CcB999HGPgBTUVNmG4xZ/9oCt/GLfPF+/aZqbpgtsSsdoOyxV2rCaqwSEkdrLZMoibgnAYfLgrT0/v7qRnByI8es75pHAQ08b5chCsaYmXPJCvn7tMbaNuDzl/I3d1YSF4JThGMcyZZI3XMkTPvj6pme04oHX/YjKsy7mhx/9KseXilx24zSnjSc4nuk99NGyUIrLz3sUD7j2hytumqs1fP3L/w7XMjieqzAS11NFI8lSCm0UyJWDpoOeKjHaMSUpx8CUgqIXkK8EbYawuxoLRa8WBqkbZgoeswWvZuxaO5oN2I0qBJasK2eJyPjSzbyjr7tr2AtBCFsH4hw3S7WQX/c2TCYdJiLVGZQ2DIcKtg2AkNqAdGCh0BSusI8+VoO4bVD0l1dXMpZxIKmrIWlDe/Mhoqr9P1S0qed3Vi7uYzkYAkYSNinHZI1+Gm34v/AaTAlJx6yF+TWjKAf5csBUtsxEUlPQHFPUyBplX3HKcLyWxqGlMp+8+giPO3WUbYMn7njTCF+BqbSqTON4ni8HTMkyC0XvpLynsh/2fCibLQe63SnF8VyF8YRNOVJ7GozZdwk52JRajad1LXF4qdBVXSlpm2wdSmjVxU0XMMfqDlsEYJ6+m/tsGqivdWr/q6dV/a5K7AI9NlbfW1U1bjFyiqiOlY3CcCGqa+zMxnPaMFQUIscOFYXUrKpa1VFfIYuW76vlaA353cfasF61uB4Hgfe84XxtOTL37WXTK54HKlxTndhH2iPNOKbBlsEVIud0jNawfA4MSdc9YfK//o3hz3+yKYXGvyWw7a//lFBKDn3718s+Z62wDMnWtjmrsbWtoDu9wvqwk9Nc4rvfAFZuz9Xfh97yOhb+8V0rXF1HxQ8ZTVi1+bLR0fnw137Etsdf2FN/UkBgro/6/ezUFJd94M2UMwsMvPTPOf+y38Cvf8rWN7+27drSzl3Mf+xzEKhob9foirtMftfYwYfjVm39o/n6igAdRcA2DEbiFlLU1YY7IW7JJvVNlGLPWCqaovRdriXxQoUl9bqiqpRnGQLb1mG7q+9MK4vDUMxe0UZR9EKKVcJOC5ZKPiMJi2LFJ2lJCpWA6XzAUjlg0DW5c76IFIKFYlAj7ypUx8giZ46naGw1Ch2ZiIZ/Q6V6dppU0LNTb9wyMKQmPf32UHuY7V5guUmCmM0Zuycp2jbpis/vZoswW2Q6U2YkLvj+ux7K0sEKgaf4dzxeGE/3PMbW2sZjH8fu93+AD5U9pgse84e1guFM0WfLeAppSn59sF6GM8cT3dNsaHCDbv04p9pey16AITpyIAmVVmQVAu6Yz5MrN0e78VezMG2ohMQ//2vt7/wtN4Fpk9i1qz3v6zDjmi2qiP/v6Y/k0N5bmr679FM6P2ddcBEf+u+vNiluV50Kil7IQEyv0W/83TV8t5Dl8kqJ5yZSPCwWJ1D1sPaXFvN8sZDlSNCi3L0wW1/TdiEkGkKTt02pyVDQPJtocnDVThglUH3JUqvEliqrV1e8eTrHaMJu2q8slnyWSj6njyWRQrJY9LjicJ3cNpUps20oVhOE+PEdCzx0x0Ak5KF4+T9/i2987gFkJyRPvTRk150KEYIZPWJkATYcD3nid+ArT5Ec3CzI/CxH5RkKv8sm3DElMVNqQpkUPdvojChCmyGFtst0QPV95Cp6LBuIWV0nubKviFmSQmX5PpCyTaDMBY94LF+69igACwsLvOwRZ/aU7/e8/595wsV/wDOedgnTx6exbIun/dEzeO97/xmot416LagmZ9iqaHjHfeirXwMfeF9P+WjDefdl8dw97d+PjCK//j1cV6+JqhFpqoTsVszkK2TKPtsHXUxpRCrnGl/+u+esOlv/9fEP86Z/enfTd7YpKEeKo1NL+rzEMtrVcG0jcsZVIKLRpzHPmwZdTEMwmtTz63yuTD56/6VIpTpQIYasRvTT6TumoOIrhNB2wdGU3bPTyFKxnRxchd8w3680EruWpOKHTSrXJT8kZnbvD1VUAt3vqurTAt2fyr5WGu/m/HRgod2RbKnk1+ab6hmLEZ3rHVxsdlCJW1pFZ9NjL+jcDX97OZn77EHe5z7E//NztT5gG3od0WkZIYTg3Mk0O4dcfnjnPI4huWO+OTrSz+5c4BGnDOl1UcXnxU+7CD6zXA11hgB2jrhcuCFZIwefCE6dSPLTW2bYFYaRE1rvu7fLSoVlf3cNwU1bt3X8zbvlFm7YspXY/e/HzNv/jRumC8zmPSaSduT8FpJ0ciQsg4u2DyKl7m+VICRuycjpSytUpx2z7WxtJK7P0SzDYmMk8uSaBgnLJOFoZ42FYmOUCkEqZvLe//w8jzxtrOc6ADAsi4WG56s+Q7iPPvroo48++uhjVegThPvoo497DEwZhVQKIUBw0c4R9oyn+PXBBa6fynHfzakmA1kIFMoBAzET0xAsFDxumSlS8kN2DseA1e8Pn/SmF3HlC9+PUjA84GBbkgHX5HimzNHFEqdNJNkyHOfgTJFXPmoXM7kSVxxcbEpjx3CcwAv54q8P8qEVyMFVA6A9P4v1mldw2dNeB7BsWKzVIh9L8rX7XcwF1/6QasC1TvmpGmGmtu7m6rMfDnmPyVTnQ8BQUTucSkZEYNuQhGGIHyosw2A2X1nRmG0KGIhZbEi7OkxcEGIasqY2cN3U2g58uqHkh10VBapQ6LINxExKXUJproRGI2FV7UagcCyJF4QEkfHPkNq42K2ihLhrqQuhgvF4DNc0OLDYHnr8ZMOUgk3pGDHLQCmtGmQbkoVihel8haRtkHIsjmWbDY4Jy2DnSIIwrB9INiJQQAC2NNg9luL6dW5XffzfQMIyWCr5PREOzhxPr8szzaqEfPuJURuE0O1/PUYNLwwYjK0xZO89CFUVi6IXrHjYcndg84DDn9xv07qkla/4HOgQKrCKZQQE2xC3zaYDLD9UdfJBIWRjysU29YoiX/ExZP1g4wmnjXDZbXOAPlD+xi0zXLhlgDPHk8StEz9QqaLkhYwm7CZFqkDV83kyoNCHgZYhV1ynDcSa1eun8xUSluT0DWlYQaFprTieKzNTqGAbEteU7Bh2NTG+ZdG3ecDt6iwVt002DtTJcQtCrFqpdfsHP0ByML7yhStAKUWm0LmeBTrc74pym+gw7mln/dpeHyeGex4pd2UYEvbO5TXBHIVEsG04jsH6KqQ3hjS2DVFzOGrdu7XW4cb/99I1k4MBlGzvH7YhiJvrvw7QYe9b9hi5HFuf/qhmB4IOqH4vw5AtT3gAhy77zbrnzxCSlL3+yvcQrelaym7+5HvA6mwWqV/9hIVVXB807NsBrISliWtxCz9QzP/B0xn+xpeXJQlX6WuHv/nztu9Xk/fDfoWP/OEZTd+949VaETmWSPCZX97e8T55F0XVge4hi0t+yP6FAuCSsNr7hkSvOy2zgwKfELXRQjS0dD+oKzFWyUGVQHVkeCrANgzOmUxz4/HMioqvnaos5RigNNEyUw6IWQblvM+++SIb0g6OIbizhWBz62yRB20daCO3e2GI1WHsWCtWQ+iuqsZZhuT2uSLu0BjFhZlVPe9J7/4Wfr7MnUWPh+8Z1wM9EDclO0dcXvTU7Swd0uRgAB/4bD7L8xKpFddE2okJjn7vtwShYnEuj1C6zu44skSu7CMQ5C2JPZ5suvfG6Twb0u0quhJNhKvaslKOgWNKkrYR2ZvqJC1L6vkjCFWkpKqdsZzIZlrNYyMCpX8vn4AjdeL0M7r+Np6IkS2vTq28FQWvvib8o/M2LnvtDb/9OY/cPcH/XH0Y0OIGQgiGY7ZW2jZN9i3mefgfPpfvfumz3Ox7/P3SPM7SAiOG1KS3MOgYxh3gnAc9ioNLZY4slfACxa6RONuHY+ydL7BrJI4hNHF7rtBZpGBjWq+1G+f9Rvihwq+omjNCI1o/12zKhiZvGUJQ6UD4LgWKH+9bQClF0QtJOyYDMZjJVTiwWOKUEZeir/jFHfP6ei8k6ZjELLCkZPGHOV6kEkxMg9WhYpxoS/aMr4R87UkSdfHfkYjIdIYULJV8EraBQLfl2byHFamm9yqM0Oh8UWpx3DQNHaXuaKbURjY+uFRkPOGQsMyO/TcM2x1PW2FKg1OG49w5X6jldGhoiC9eeYDnP2Q35VL3ffiHP/px/uQlLwXg6mtvaCpp69/VmlAKylHZHFPUnCeLLYTruC0xXvRSMmslCP+23eFKAWJulvDB5xO+7vUknvsC/LzOacySuJZBudDexsp+yN65PGdNpJvU3advvWZteWuBIQSVlg6gVDtJuBIo/ECxYTBGyQ9wTIOKH7BY8DANGa1F9T7SNDQZP1/R7anshZpwa4mIMF9X9a/2V6Ug5Vo1teTl4AcBx5cqHftkrVyyi2dHAxxTO/52Ime3OjA7ZneH5rIfErM08dkx69GRuvk/G1I7GLTCCxQjCZu5RqVYIRoczOFRp4wAsHs0QfY+HUjoLQivuYbc057M8KXfwBCa2l1ZIWJDyrF44u4x/vOKw03fnzLiUvZDBILxhM1LHnIKfhjQvZd2hw9cde0hLvvp7Xz2J7fzyHM28ndPOw9jcpLg2LFVp3ftoSUuf/0j+aqAS8c20l03vxllFD8pdz+niQMfiI2uuJ4vXnEl1oueyezrtUPN8QaBmNmCx46hGLfO1udrMyIGl/yQbN5ri1aTdkwMo77XCBUMxZpLVezg7OI12BjdRJJiPkevuOStn6k53vTRRx999NFHH330sXr0CcJ99NHHPQpSaKVPEZEnRpM2f3DGBBefPs6v9s8Tt+oHAvlK0KT0KoCkbXDnfJG0Y7B9Dc93l+Z58GljXL1vnq9dcaT2/ZahGJ/9k/uzcdBtMihOpFzus0lxzZGl6LPDGZNpPviDvbz1439ey9dyqBoAzzl8Q+271rDZJwKzUuad//GapudBu/lVATc+6Akce8XrePioG3nar3zkp5QO9121Z6VjJjMNRqLNAy6WIVgoVIiZBoYUmtQtpVZ+jv4zhMSIFN38sPvh3IlA9mZ3BrRHvCmaVYTWiqpxrtRidbNkc9hvaFYY1aGh71qjhwJStsWpI5Lb51Y+xNmQiuGHIflKQMUP8BVdlWtgeY7jrpGEDv0XXVgltI0lYkwkNek/VDCedMiVPWbyFa3ypUTP6qBhSJOicx999Iq8F/SkLl7xVdNBwomgFxKhQB/UrGeoSUsaqyKU3pPhBfoA8e5welgJu0biOMb6kCvipkE6ZrJ/ocDmtEvBCzieW30kgpWU9gFyns+IZeMHMJUr8c1b5pY9UL380BI3Hs/xlDPG7/XE87m8h2UI0jGDTIewpFW0qs2OJSw2pNyOTizrAS8M+dINzaFbd4/Fecwpo4Qthyclr/dMJJ7wePKXfWdVedn/iEfW/o495MHs+vznV3V/H+uHVfC673W4q8tWaOo3ilumc5w1kT5pqvLdSIKtkD/7EaJYOCHRpPz9H3QCd584tj39UUDvRFMBSKVI/vcnyD3nxSctX+uODgXc8J43n2gSa8pGqKiHLf/zvyEc28DoJz7UdY8WGgaHvvWrpu8C28ao9B51JlSKZ89Od/29lM/zR+dt5OtX7yOVSlLdNQ67NpaUhOjw5kUv4MhSkV63cuVymb999uM5fEc9upTjxnnLJ7/GztPParp20DVX3Pd34yOEEMks65DYy3ok09sOP25rEk9jUkEIZ00McGAx35G0A3ovvlTS5XBMSdwyUCg8XzFXrpZP8YO9C3hR4oMxs6b4GDMlkykbKQRbojDugzGt8lklnswXPTamjGX3O6sZHlfbtk0pGHINnnT6CE/8xQ088cyJVd1/vABZL8cTz9vA5uE4vz2UIe+F7BlL8G9f/LImB1eaS/Ch3BJDUvIkV6v8diIaVu+QwPSnPsXEC15AvqzDaBeKHtceWmq63jElF587WfssEOydL1KlHI0lLNIxk0IlIFQhWwdjmFKwc8glW/aY60DS80JVe69eQ+NxTR9TShzDwElosrgSUa6jyxLRCxZowqXfYR4y1zAQNZIF14pYFMHtGffpzblShSHPumAHn//tPkbjTs3OVFUidi2DXXvOabqnjOJosPI6+QV/8yZ+um+x9vmW2QK3zBawDcFwzGqOZLHGdUIvNquBmEm27DPsWhS8gGy5Pe9KKX66b6lrf6zaN36+f5EgrJNwQ2hQAA/4+yMJQllXDe4Gy4enXRoy82dGzVnSMbUNeL7g1eyBp44kcC09hpT9sPZcS+rlT2O9SaH7SqHF3lH0QkxDzwt754v4Qdhx6VT0tC1gy0CMlG219V0ptUNk3NI26lIHI4xrSQQmZ0+myVd87pgvMOxabEqnuX7/HAcPHuB5T30cx6eOopQi5sR4zRveyrNf9KdMDvRKAayPIUJom1IYasGJYqRkK4V2jhBAzJYMxm2CUDF8803s39OdpL8aNNZO8V1vp7ztFMQ55yMEmvS9TLNMOCZ+CLF1cAz2w1BHw0GTeFvtXWEkKmEZze/TkrB5JA4I7CgfjiVJuZ0FUKQUDLgmwwkbhFZUF5GT7HSmQtDB2Jwtej2UUbFY8JYlB0vRfE7gRka4INRlMw3tiL2ccEkrUdJYYYz2gxDXlk0qxJ1gSsFcsdzVeWQuX2myHfmhIumY7HYtHrNrBAOt4pw9fxXtct/tzB8+RmJyEruHycaMnDgfv3uEH9+xQD6qy0Il4Fi2wvFchUv2jJKteJS8gFh032qmsXf98RsZmhjhvqdK8oUy1++f50Uf/QVDf/kRXvK6p64qskCA4PK/ezgAcwouLeT4AzeBK5efI5VSfCy7tOw1bxscxRVi2fxUx9/xw3shl4Nksu2afQslTh+L18bBUCkWi37dMSJusVT0QOnxIFNuXot2a+9qmU3zp39524qOP1XsPO1MXnbJI9ck5tNHH3300UcfffTRh0afINxHH33c4yCENjob0blKoACpFYWzJY+rDy/UDJ9lP8SSAi9UhMBAzOD8jSlm1kjoVIZBzLV46J5xbjq0xJ2R1+yhhRLP/c8r+MizzuOG/VoZ7+kP2oEQgk2DcQZdiysPLbJjOE625HPr8RyDxd5VSqub9HNv/BnXnfnQphB8quGaVZUl+i8RVpYVWKum/+U3fYL8+CbIlNmYdkjaclkFJx3uSWAZggY+MJbUHtrDcRvLkDXiZjytp5yqsWol8pwCzplMM5uvcDS7Fj/vdjim7Gg07wZfaeWP4bhFpuSvu4dyK6HKMbVqRfUxwd1g8JBCHwYpDM6cSHHj8eyy16ccA0va0BIN83Cm0BYmdFM6hmtJFgoecw0qRHHLYNNATB/+djt0bfjeDxQx02TLgLkmYsbu0RQHFtvz10cfK6EX542CF3BgscD2wfhJUQltxXqTg3+foJSiHARM51dPlL23QRGppI+ktNKtZTKZcrh5OttzyNaRhFUnDC2DTMnDNU2uObbE0Uy5p/RzlYD/uX6KMyeSbBmIrXh9L1jukOFkwgsUgrCrA1HMlMwVPM6cTLFtKM5srkyhHK6L00A3WFLymFOH+cX+xdp4sH++SPJ0CAW4piARMwlCWI4r31qjOz7+cW7YsnXN+Sr94pfcsGUrZx06uOp776bX+3uFe2IdrluelpNHWkUSPV3X4cKxuLWqspwsQrP98Q+v+d5q9hf+8V3rk5k1YMvFmpy8luoZ/szHVkUQdi1JqNTd5yTY4bEiuHv2Iq1ZyT/jueSf8Vy46nK2vOEvESpSlJvYyLH/+t+OaRS+9gNSFz+0p64YKsVXCznKPfS6J5+/oxa+HWBDSqvhy4i1mLQlp49ZGIYm7wRKaaVUWVfdBsF0rsRfP+OxHLjthrZnlIsFXvfMxyKE5DO/uQPH0eQtKcSKZL5ghQuCkIhoe2LtbDBuMuDa5EoeiwWvifTmh4rNA3EGXY/9C+2T+oBbX5+kbIPZlrWKUnDzTLGJPJorB5wy7PDwnQOgmsmvndY6G1KxtnWNITVxTVX72SoGydXUlm0IYqZkNu+RtA0sU/LYpz6T7/3vF3q6/wFv/Q5nb0xz07EM+ZKPKQUXbkkz4JrcPJ3nt198bdd735JZ4EelAu8YHMWhnSTcaGM7/3MfYTZmkH/Gc1FKcbQQ8IRzN3DDwUW8QBO/k47RtI/be/Pv+Pvn/gFh4IEQbNpzHy5522fb8rF1MLbq+dRTiuls73ui0URnp8HRhLMGkvCJj7tSCKampla1/vcr5WYn9AaMxx0Wix6OG6dcXD5seyOErMZla4ZjSB64Ld02Hq5V+ED2oG4QKm07XMm5c7lUbEMwErd01DOhWCoG/PE5k1QCn8WiT7Hic+OVt7GNlcnBVQgFYx99P0ee8scESiuvlv26evVY3CJum00EdIWepwOlCH2t6FudXypBZ+VUgNlshbdfdgsvuGh7WwSXRjiGZKmsI9+Mxh1KXoghtSprlaAphX6uKTWRXAg95gtZF30IQoiZJmdPpAkV2Kag5Ck2bt7KD6+4GUNqYmXjWiNb9IjbZq2cvUEyMRAjV/ZZbIioEipqxLi4Y+jzE0OSTCY569BBbth5Cnj1um5tfms5Xwhf8Sfw82vYnI4xk69Q8kPSMZOKH9ZIhIYUJG2jJuxQ7XFbV0GObsW1x/SZiiUFO4bjWFJHmlNoJ4g75/V5zXjSYcStP6e1qSilyJd9hBDEbaNl3BakXYvGGjGkJF/2mctVuq4JcuWAQT/EMhvHlpYaV5BdxqEY6mq/lhEpRDdk3pREysjdW41tCiot69qVuqkf6v+5tiQMO6+LTQmHlgrMFz0MoeeD+bzXlvZcwWPItQiV4orDWTJlnw0ph/lcmQ1phzDoIIO+Ep70aIyrb+CW6Sw7h9sJrFUIoOAHlANt83vYzkGuO7TE0YUSB3IlMiWfp5y/kYWCh4iykX/UY0n+8Hs9ZaNa88cndwFQMgyu2DuHaUjScYv7mpKQKIJED2kBPLnUvGZ7X3aRYWnwICdGvANJuDrffa2Q47OF7gq7SSF4iBPrKepTdWZ5zt8/i//+wDdq30vqbWclJ5dUzNTOcEqLNzXCloKbZzIYUkcwkFKrccdMSdoxtSCO0ONkENaf9cPbZnjU7vFl28sp596P//eRr+CHIaNxa8XoM3300UcfffTRRx99dEafINxHH33cYyEikrBU2sATKkjFLM7aMMBvDy4QhIpsOUCgvVYPLZXJlgP8UHFwscTD1vDMax7xdL5z9RGG3Lrqw87RONsnUwR+yCd+fgef/c7NAHzoWzfyRw/aQb7s81dPPpuH7RoDFNmSXyPBrnaT+vwffZLXnPlQlvf5XRmNRr9eFYyf/qYX818f+S6gQ0gl7c7e9SnHoOIrbFOQLQdkSj5jCQtDChwjUiQxdajDTqquptGbems1VNiGtMNI3ObO+Tz5FVTvXEvimLLWNlrRK0mqFfMFL1K9sOqHgqJet7LxA9r43AtCFRnBQ4Uhxd1O8jOlQKDqBkYlOGcyzfVTma4mydtm85y7YaBNXWZLOs7WQTiWKTJb8Dh7Mh2pX4CbNplMxVDod1xVVLyrIkQFIWwfSnDdseU98PvooxWuZbQp13TCUsnnuqkM50ym9ReqJyHAVaNPDl4eQggcwyDlmBS93lXu7s1obGZ+AHvG0igUZT9oChXYCV6PjXS24DEQsxhL2PzyQO/jaCVQXHM0y7FsmT1j8Z7v64bFokfcMqgEIWdOpuplb1wENRSpsXT63EF1JTappusaP6v6ZwW7x+sqhyq6XqAPSYdcG4RgNBVjjjK5VTgorQW7R5IkbZP/vVErNA7FLeZLATHTwDYlyZgOq7tQ8Dh3cgA/DLlxutkJaKHg8btjmdr68bpjWYL//RXnPvXByKgWGuurV47mDVu3cdbBA6sqzz2Q29rHOuCepGp8Ik4Goaqqu4mTpgzeC+T08RPaNQZOZ+LGie5Fe4UMgzU9qfUeLwy5abqzc271LZ85nm77LW7JFceak7nOUlIieg2D0oDfHtJlFQ2bfRXCxrTD1sHonUYD9Krq974Xcuiy9nDjnaASCbyxSayZqRXDGR8NfD6wgvJZIz757jfxote+CYDrpzJt705Bw95TExCUoqEvKv74kffjyIF9y5dBhTz3wmZC8kroZQzrZWRZ2UYjCEJFyQ877pGVgqRlcc6kpfurqL4FRSVQjLg2KooINVfw2vLUqrh4aKmEIWHHYKynRjOedNr2/7ZR35foiOmraH3RpXr9ZOKHKiIsUqtQITQ5Olvy8UJFyqmSAQNe+sb3I2NxvvP5Tyz7mLP/4dsoM8a1h3V7/MZ1U1iG5MzNaYpewJkTSQIvaFMPbsRFsXiUn+7lq2Z79BMfIv+M5yKEYOtgjHLSZs9kiioPqEpo/PHXv8RH/vHVzYkoxZGbruYjf3gGhuPyp5+/qvbTLw8s8uhThin5Qc82FLGa9wFdo4mtZcxWSpODOimzNsILQ/wwxDYMMuUKbhSBTKD316+6+H6rfvZFZ27jt7ccbvvekJI9Y2m+d/1BHrZrtOf0PvGzW9r6U8I2eN65G4jZkuuONc9Fa44O1+W9phyTM8ZTkaq6oujpNlAlC+v9iFZcrwQh5SCkUdT85598J9d/49PN+R8Y5h+/9Eumy4LdY3HG4jb7FzwqXsD//PYwr3vHS1eV9WobcUxJ0tER5qpLLtsQUVSV5gJWxRgMKSL15OXbihBw3aFF/uWHe3nIqSMA5Mo+owmbhUKlyfYymtBOE+VSyFDMwgt1uPtWAQjbqLdRP5qbBSCjKGReg5hD3SxcH6RilojI0M3pVoKQYsXHsYxoDumtF0kpyBS6OxJlSpr42EhwPeOOvfzgqjsZf+ojMOjcjNbSh89IKDKWw5BrM1soU/ZDJgddTY4UEkOAYxogoOKHuJbkRffdQKbkc/YFF3H9b3++6me6pl6jubaBRJCpVCh5Ia5lcLDB43UuXyFuGTiGgYzGZc8PyZeDyDEspOyHKKVt3iNJm7jTeCRerxE/CJnPVdpIj62wDChWPAxpaTJ/1Adl5BGglGJ6qVRTv26EiiIiEJG947akUNEK0Y0wDVlrh51gG6Kp/TU+YSX4IfiVeht3LC0Q4wUKIRQ3z2Rr7ThQMJv3dH+2jTaHhIWih2sZzOYrlAPFM88eYjxl4/khuUc/fPU+nWHArbPZFZ2rDSm4fbpu3yp6IWduTPPd3x2nHN2cipmU/LAWBc75u7eRiAjCy+WpWoO/fuZf1N5PICWn7dnAsFD8+NojLOaOUHjtZ3nVO5/Nz8tF/qeQ41gQIIFTLYvnxFOcbzu1hePC6CQzN1zRXFTg75bmeHwszgsSKTYZJn5UY7YQHPA9jjkh78stdY3GGBOC1w8NLV9ZHWBF9tHBmMl9NqWwpB4D81647PhbdRpzLYnboKJtGQLHlPjRXESo2DTocixbouCHUSQErfBtGRJhyiZlYoCvXz/FF352Df/zV0/FL9f7+MYz7s9T3vZfANx4PM9E0sY06nu4e5J9oY8++uijjz766OPegD5BuI8++rjHQwi9gfRDbZgYSTjsHkty0/EsTqTSdiRTZu9ckUDpg7GELQkRyK5m7WZUN5Xzz3wxXHuUhaLH5qEYgVIMuBZFH87ckCL0E8Qdk0LZ5/ajGd7+5esAbZB7xcVnAoIDD7yQD8zOronYYIRBrcxV7Bvbxs6Z3kkVquHfXvfIteump2F8nLGERdyStUMZ1zLIVwK8IMQxJFKoyPCmN/imIUlaJnYUKn25Q4qyr3C7kNqqxjOFwg8UpQbD6o6hBCGK22aybSFFR+IWlSAkVw4oRkoQjRhNWKA0mWitqKpe7B5LYnZQIFkravVwMtiDq4BtCnxftSkCBCGcsyHNjVOZrqFc987m2DmcaHrvCn1QPZF02TQQrx0A1K/Rpsy7i1ThB4pN6RhHMuujTt3H/w2sdKjZir1zeUwp2DrocjJ0Dfp20JXhK8VcvoIpxbqrwJ841u8NLs7P8zd/8WJ++8ufEQQ+hmFw3v0ewHs/+knGxicxpcFZ42kMQ3A8W2Iq16wgNhq32hTmlsMd81pp6yHbB/nF/sVV5XW9lH8DpQ/YBl2LLUOJlW+4myCFYCwdI1nxOb7Ui37i2pGyjRoJYCpb4eNXHAFg22CMx506wpBrAfpA3DQEIwmLohfWyAu3zea56kh75IDrPvIdkntv4A/f/xrWtAJSitzevSR37er5lpM1vq2sx9bHycS6vdd1OAnstR10um6uqKNh7B5N1sKV3z1YW2uOeAkcvvRnXX5fOd1AhU0iT9o5ove6GPrH1/R8bS9YS0304vR1smAbAuPZz4fPfqrne6plzHfJd6mBvNR0QxO0yl/0Z/s1ok4Qr/ay+iXawqBQ5MoBN/7rlzj35X9IfG6mTZWw+rkYhjxn7nhP6sFVfPtzH68RhDs5oq6EX/zkByuSgxvxskeezdW3HsILwo5quY2QojMdpwk9rHOql1SdilrXqAsFj7IfUKyEXZ8lZTUqU6MFSDsvV+0yWm2xGULAhpTD4aXmteD+hRITSZu41dyPR+MWowmHxZLHXKES2YM0GUTQ4ITdojjXyzgSi5y7qwqFuUpQI/IshyBUGJYmZg7G9NrmH//pvbz/fR/g3W/6Oz7VoK5umhbf/MV1bN+2lfd8/zZuOJLhlLEE20ddrjm4xPFMidOCJEOufn64jH0iIQQXu3FiPdiDqu0k/ebXMfOGdwLRu1YKgkj90Av5wr++h6/8+z8vX95ykY/84Rm84qs3Ado29a1b5zAFXLRzkAHHJFSdneTrGer+PhKWwVjSxgsURzOlWk/vDEUsIpM1koiU6twvXEtbZU8bTS7rsOgFIbfN5ojbBgnbwA8UfqiYzlVqRGq1BoeKXGZxxWs+9J2reeXjz1/xund8/jskk0mClj5e9AL2LxXZOewy5JosFOukzoRjUvSbHVWDMCRudTiSixpNdYnjWu3tLAi1jTtpafXplG20XVPFlUeX+M1BTYaX03fw4T/7AwBsYJtpYiA46Hvkl+Z53WP3MLl1J+/48k/Zt1hAAVfdNMUN1x/BXqPa/amjKfxAMeo6TBdK+KFi22C8ow2w6qjqBQqre5EAXT/v+/5tXH8k03SvJjJWSNgGXqBVbkte2KR8WvJDLCmxJRHJOtoXyc4EdhWlG/gK1xIUvdZ3H0aEZoXnq7bh3zElYRhyLBpvpYRB1yLtWpT9kGzZYyzZObpOGLbbZxthSslczqPkBQwnHIIwpOKHjE8Oc+y7lxMoSFzxC+Lf/hpFN8HIj76zNoI/sP8JF5O47McYEgYcGxkTxEzBVL6MJUPiptlUf6GCtGORsCy++LXLOGNjdyXYTnjZK/8fO4eTzORL5L2ATMUjaZm4pkGh4jOWtFkq+owlbI5kSjqKgKiPWrPZSsf36Yc66oAfhJgNwh5eEJItenhBGJF1l4dpSDIln4W8j2GAF2gF1s0jLp4fkil5tTVmN0cz15KY0PV5JS/EjOb5qkJ/qHQbErX7mhtct7OW5aCiZ4EmwvshHUVdqkTrpG1gSsFiya8pwzqm4P6b05T9kJznYxcke+cLTMxMrdp2oNDPj1tGk3NDK/xQsWc8yc3TdWVdL1S8/JE7+Zfv7wXg7d+4hdf/wel14n+gyPz0KtIPu2/tnlbn5yrmLnkWxx76RNSd8+yZTBKEivmCx5wSnL5lkFsOLfK/f/s4vlwpYQKNo+TxcsCV5TLjhsH7Bkdxt+3mPQ96PLQQhKv4TqnAd0oFthomE4aBr2B/4LEQhpz599/kYdf8JXOXH+b6uRJWlQSvFNsTNjvuO8ijbludUnd1ffLArWniUYQVLwAv0INzLy3IMiS5so9rGRzJlDmwUGKx5HP/zSmGXJObpguAZPdInANLRSxDsFTyScW0w0anPZhAMTi5lZc1OESdPhZnvugxEreRAvbNFfjF/kWeetZErSx9gnAfffTRRx999NHH6tAnCPfRRx/3CujwMxAGehO7czTJfKHCVK7CFYebiQxHM2V2DMf46j/+O09/y0t6JsoeT43xoxunap+PLZV4ynkb+crVRxlLFklZgrlKyFOeeDYHbj3KL288Xrt2ZqnE4be/g8WPfrSe5zWU00BBLgfuYO27f3722/jQB563KsLv/j33ZfvNV606D899+8u49KPfwDGaD0wtqRUcBl2TTMknHTOZy3u18NoDjtUxbF8nGII2gzrUFRm6GbN0+QVnTKTJVnwOLhQYiltky0GbB7tSqungzgtU11Bzq8WtMzlG4xab0i6r5AreYxGzZM0g2Al+AGdODHDbbI5iB2t+3guWN9zdzeTnbhhN2JR8rTq+Xu2jj2b8Phnq4pZcUUmkFQWvSrrLsWskeZcp8vVRhykEmwZcTCm4c7738LF3BdarNbzw6Rfz2181k7zCMOSKX/+ch523izPPPZ8vXfazmuLeSNxhIhXjwEKexWjsW+t0Zku4z8Yk1xztHvKwFes5IxS9kCBcu/PPXQnXNhlNKebz3oohyteCsh9w6c0zbXPxRNJmx1CM2+fyWIZ2WIiZBtcdq6+f046BISWBgi2DMZaKHpkWkklu11l8Ooo08eQ3vYTh6UOrasP7H/mo1akI94fL30v0Evq0Jyh1wouM9fFVuHvXuOHoOPLQgZ67SzW3oRAc/97la3ZQzL/3nYSf+6+2Q3X5/n8l8fBH9pRG/KZr1/TsRlRF2UwpViSgNvqP3h3+Qq2PrASK/c99OdsignCv73B+YnPX33pLQ5FbZj07mXQYia9MNIhZktNGQ/j+z8jncvCYi6Bcd7wUAKfs5mG//EFPuVpPvPz5T1/V9Qvzc3hBL3RWTRCOWRIVqQVWHZNDpWrKhRo6NceUNQdoANvUBJ9C2Ueg6zFUmvTX+vyVSEpVqnLckkgpaupsjeilVDuHXTYN2JgdlC1H4hZjiRhSCEbcehj3xpDmpqH7YLFLfg0BScckVw6I2wZlPyDpmAQNe/AgpM2msxwGYhYbUzGgTq52LYkXhLz2Te/ktW96Z9s9vgr5g/ts4Mn32UAlUFhSMJB0MQ0tRjCT90jaBobVvSc9PhbXdbyK6Wfw1z/h0i4RN7YOxlYkBzfiY888nz/9wtU1W5ev4I65EjuHHMaS9vIEYQSGgKG4TabkaRK3UowlHMaTjo705SkCpSh5AVIIRhMWhUpY29OCnseXsx3Vnxb9T+kIVVUF6JVQ9kM2pGKYQpD3dPuw5InN95rMrp+9b0ETVRGKkZjNSNzmcffZzS3Hcjz1MQ/m5huua7t/fPNW/vWbv2koW3N+QgW3zOQp+wEDseajtk6OkUUvRPS4+3ItSbmLknivWJw6yOde8QecZdq8Jj3ImVZztLjDvs+Hc0v86OCdvOpJD+B5//Z9AJYWC0wOxFavABpdX7UDCiHYkHRblN7bYUjdrk1D4gednSNMCTdNZ6g0GGN/c+c8D9szVttf5SsBowmro7NByQ/wQlXLmyG0WEIvpMpKoIiZgkqDM45Aj3/KUDROraYUWIbAC8Imu3EYwnze43i2xN65PErBA7ePMJxoj+AnW9a5jim1+ni0BK7OEflySL5crJFDBxyb1KhFqEIqj3ssiw99BIOPfsCK5VsOwcICR7IFFos+w3ELP9TjRCVQDMRM4ilT2+GFYChhEbcNZrPl2juZ3LiRqaO9q/W/+a1vIwgFQtgIpLZDCzCFZCCm56ExV6edHDVwLRM/UFQ5v6Hq/j5ncxWkgE1DLgCLBY9sgz04ZknKXnfnnGhYo+owVR0eQ+DgXLHLXc2IW7InJ7WqKrgf0qQmHDM7n794K8nuLoNqYIEgZFkxjeoactA1qfgh37ltnofvHOLOhSIXbhlkxHWQAr5/+xzPW3NutC11uXMGANtoJhHHTMn7frC39nsIfOgHe3nlo3dR9rX6dK4cEP7kKoz3v4PU17/clmYQi3PTx7/CVGCxO+3wk1tnuXlKO6+cMpZgKlPmooedxjVPO5+gouuo9TRBAUUUBwKfp89NcfrpZ1L8zvIRDgAOBj4HWxwyMtf/iPv+0RdYuijHOTd9gtGZn6PCkPzAqQw/7C1sGHThr5+8Ytqd4IdqzXPL1UeyHGpxNAO44nCW8zemOLxUZjbvceZ4nE1ph+P5CmMJG9BjRsUPKQVhbTwLlXai0meGzWmeOeZiSKnHUhXnSKYcRfL6/Tpz6KOPPvroo48++rir0CcI99FHH/caCAG2AVWb96ZBl1tn28k+I3GLffMlmNzCkV1ns2nv9V0NmtU9py8kX/37f+cM22AgYTO7VOSCHcOkEg4POW2UX9w2yw9umOL5B37K+f/7H22HoeXfpFjMtyuurap8UVof+s+X8w9/+/mm33K2S7KysqGpWp6fvPLtvPAVj1t1HoxKkftt1OGyB2ImlqGJwUIIBlyTbMmjElAztC4WPHYMuchVmIvr6gvNISj9VsWj5dKIQk52U5cJFSQdA4EOkbSaw6ZeMFvwWCz57BlPsQYRk3sUejVM+qHitNEk+xfzHcm09zhhzh7gBzCZdKNQavmmg68++mhF3DbWrDRXCRQ3TWfZM55Erk1/s481QghByrYo+j4b0g7HMu1G7LsL6zFsPu2xnQ+yG3HjdVfzhAefx2W/vLb2nR8oNqfjmLLIbMFrO4DsFQoYcU22D8bYv9ibIvs6CQjXsG6Ew7sAyZhFzDKYzpRXDJ27WtiG5JQRl6sbFIA3pm1OG4nXDk68QHFkqcRw3Gq6N1MOEAQIFIei9+gYguG4hRup9xS8kKlsmVDB4NQBQqGVmnrGer/4PlbEPbFrnCDHp451SKdnNfN1aLqZstd0aF9NspNqlYr+p1AIdDSXKtGqlZRU+ZNXEHvT61aVlwNf+SEkkrRTUerQJK56wYUQKAWlYp7gwfer5b3tNfy/PycPJK6+qenrakpNam5iBYnAHlBNzuiB6Hz9ca00aArYPZbuKf21KLGtFuUtO3AO7VvxumoJv/7G/+x6TWsUnY7prFBVvZCDW5FIJuHX13T+cZWqgW1YQ/8L/NU7fr72VS/j9e/+8IrXSdHi0NzU9vTfY0mb8bTBfL6CZUgG4vXw71X4fkgYBrW0bEMgRL2/B0oRhlqNMlDUyMRBqImWRT+gHOhxYmIwDsDh+SJhW18QpByDINQ2FF8pTCEILcVDtg1wxZEs4wkLs8OEYQgYTzgrrhH9oLtD8GjCxgtCBLB7LIklBUEIC6UK+craHXRn8lpV1jXrpLSiF2IbIlL5bO+3SyW/pjQKsGnA5bqpHAO2GRH5NHk+Fkth2BWCSnuZdpkW8VUopa/UI9/05HN7TguokZGesHsEhSZQBaEmOxtSMuRaTfOsELrPa/tZXWG1EWMJhyAELwwiJVVRcyAESDlrG6urc1nR12Tco5kSueXeeY2cprhjrllleL7o1ZXP14C5fJlB1+a7t8+1KRi/4sIttfb71e/9smnIMSTcNJ3tidhc9EKGXKutXXe8dRk1507purZsIuA7Bnh+wEotzDUlmwccPvKHj+dliTQvSeq5r3XvtNk0eefgCD8pFXnt9BHmD97J8Jbt/PR3x3jQ/bYxM7qZidnDPee5WrorjyyRcrQidMIyGI5bGEKPdUQE9VCBYcBSyWP/grZ5bxtymS94uJYkbpnETE2SLgVBbS9/5qY0tx6vO6iaUvTkgFn0gtpE6EZE0KLXHuXOkNTyWh2XK35IydcKx47UIgu2KclXtNKrY+o8aDKn6thulFJM5Upky36tbVx+YJ4H7RhmwG1emRmGYMdYvHadFDCbLZMtBbX8d1ujSCGQwsCUEEtKct6J2cSVZbFY9GvE1EzDGFHwAoq+T8wy2DQYw4nUsU0pKaPz+qMrb+O+u8YpFlZ22P78b/by49vnOG/zADFDUvQU84UK80UPKeD0sRSm0DtXAFPovaqiqqoPAXperXSZmxKOqduMookcDHU13U71W/2ueo0hYTTpMJ8vs5I52TLAEBI/VJSDsKc1Zrcm3er840brg27lXQlS6DVkVTl4MGYTKMVUtrvtbLGoHZ0et3uEX+5fYqnksyUdQym4eSZHCFQcF6fcG2m6E/YtFtiajjeVVgqt/i0Q3D6ba6ojL1RcuHOYn9w6W/vuiedM1oj8VXLzUtHj2PNeza2Pfym7Rlz2RsTupG1w28EFpq6aRQjYNhLn9IkkpiG44WiWO2byPP68jdw+tUC50LuD/C2//CHDG7etqQ6Ccr7W79xzXoJnvJRcOeCsjSluOpbleLZCKCTGMqT4brhhKscjTxle9VlIwja6imeYAhZLHjuHXTamHMp+SMK2cEo+My3rjyqqe5OCFzCZsjmS0dclbYP7bUpzPFfGkILrj+co+yGP3jXEQBQ9wlh569NHH3300UcfffTRRwv6BOE++ujjXouFQgW/4aDVEApLSlK2pFwR5HzF5X/zXoY+8A4ecdNPup4t5RJpPvH6TzEWtyibJpkA7r9rhM2DLtcey1EUkrM3p3np31xSM7+27j9jJ0gOrqJKEn7zO5/F2/7+i7XQjO9+zSd507uejYzYqN3IzgKY/fy3mPzJr9ech9GkTdkPayTQ0bjNbKF5Ez8QMxl2bWKmDi1lm8sr0HZC1YhjyMhwuAJRJiRkOlfumeybK2tzYapztLYThh8qrp/KsGXAZTBm3SsJsm6P5OAq/FCxdSDOlFFqMuxMJJ17ZfmrUGiFhNvnOoe77KMPU7JiyOFecHipyNaBxDrkSONe3O3ucrimyWLxnqU0e6K27C999pMrkoOrOLBvLx/553fyir/629p3Ctg0EGfI9bENgQTKQVgLtVq/TkVktZb8NxTgjIk4e8bjbc8t+SE/vnOx90L9H4BpSEaSNkd7JFSvBq0HNVsGYm0k0ZIfcrQDUV4BuUrItqEYJS/keK7CsWyFmCnYPBBjOG7ykG0DLGSyfL9U4PHxEyR93U3QymTLK5j1cfKwbvzgtcjZnQTkKgEjcYOVBLtm8hWy5fWPVjH8yMfgvOONUC6tWB0KKO85GxLJ2uduKHpBzVmgioRlMPqo7uTg6mcFZM8/g4Pfubwt3cEGZcWlpzyTkc98bIVcd4YCwh6j13S6txtMKTAbTpp7JpGvAlLovXSNNP3ZL2M+4SKMiDSznFPzl/7mX5ZNO/w9dMQo+D4x0zjpTrmX/+KnPREkTCmXJR05piQRMxFCMLqMIaLkhzRuw3V6zWnGTEHJVzimVsatEYmEqoXUdkxJyQ9JOSYqbG89Ak36aRx/AhTDroUpBQ/emmYobjJfaB+fAgVTuTKOKRmK2at2JlM0k1EXS1mGXYuJlINrSY5m/KZrV4vpfBlUBYUibplkyx7jSQfHNDAQbSTI2XyZuGVw6kiCINTr2CHXohIobpstYkrBOZNJ3vep3/Kix5xK0IH8st6ON6Xc6u2IX3rtH/PEr/+AYiXAFJqQLgQcX4bIBVpIoRN8FSKRWEIyXyqydTDOkaVS7Z2YLY4Ha4mI44eKhRPYh4VKE+RrjOdVwLBjfPa6KZK20RYdYyWIBoXq5eCYkj3jibYyxi3Zcf+p1Cr7UksWZoseBxeLCKGJoIbQpF8jIrPKyKvIMmDuzgN8anicMyy7q1Nl9fuHx1z+UQ3x9tc+nef8yw8ZStqUFnL8+3Pfyhv+5UWryrNn2vzmUF052zIED9s+2DGanCEFcas+p88XKvihYjrnA/UxZMitryE2DbukXZOHnTHJN646TLHsI416GgtFvyMB0w8Vx7IlNg3Emn4reSGOKaJxTlHyFAHt4zKAF2ilVseUtd+rpOCVoKiO//VrA6W4+XiWczYMEHfMhmh4+r1Uu2CoQvKlehtunPOlgHJDearK8smYyVLRI7eGvlOFAIrPfiGjCZuhmMViqblNbx1w2ZiOMZBodjBqfdrVe6f565e/kG9d2q7aCpAaGOS6249w9aFFvvW7Y/zw5hkee9YECdtESt3PRuOaRC2EJsCDdioo+53bVasU6VDcYiBu1dp8odR9XGpV43VM0ezohh4jbFOyeThOxQuZypS67gnCELwGEmcx7I0k3DGthmKthzNbpzOd0bjDRNIhX/HZO9eZ2D3gmiwWfS7YnCKISP8/3b/A76b0GuXzb/0sL3zt03rOR7XHpR09XmdKPlOyyKaBOH6gHV2mskVmuthmg1DxgFOGOb5YwleKZ1ywhXIQUmx5b76CW2d0maoCM6Nxi1yuzETKZi5fYShusX+2gCnBC+HczWliMYuEZfDfL35Iz2WqwrBX74AHMHHhk9k05DIxoJX1jyyWyBQ9bjiaJWYKEo7Fp1/5QV70wb9YVbqBZUcOPL3fIwUslYJl7Xu+gv0LJZ573gakEHz+d8fZPBjjpuN57rcpRdKWHeci15LsnSvWyMEAF20fZDBmM5Mvk7QNzhiPc+ponMl03e64bs7HffTRRx999NFHH/+H0CcI99FHH/c6VE1w24cT5CoBCcfi2HyBS68+gh8pYygFD9w1QlEYuK/9Bz6Z/1s2XvlTHvOpdyGU9jXOXvBgvv+C1/PT2+ZgOs/t03kefuYEWV9xy3SBciUkCBWDluCSiBzcad+53ntREZXxBfcZhaQ+wB2JWxx62K+ZfMkzcA4f6HiAEgIGMPqsJ/L46LvVnp1745NNqrwpxyBE16llSBKWwUTSQTYcyIZKKynUjZjNMKW+V1+rMIQ2qmll4igk7ArkYEX9EGxVEKyauLxaHFoqMl+osGs0ca8hmwi0cXWthsiJZAzHkByOQo6NJ517vZKy3SVEWx99gA5dFyh1woqfG9bbY+H3jwdyUjGWcJjvcEgbM2WTosi9Be992z+s6vr/+PD7mwjCoBXfbEMrco0lYhhSE9kz60RkG3JNnnj6SNN3gnYi6/81OJbB5IDDXK7SpGZ3IshW/NpB13Dc4pQRF9dc5SpVwIGFEqYU7Bh2axEejmbK7Bh2uXO+xIsv3MGfJFI1FcKThf5Zz+8n1k3x+y6UR16uhx7JlGpkheVwMrM79Z5/Y8OrX6RVNLtco4AwnmDqHSsrpHbD8GMuAFbum9Xfx/7yJcz8y390/hHIPefFjHzmY6ver1bfx6FP/m/T9yuqS0YPMYQO+90JpmxWHo01kH9OFAK9t85XAhaKzXPs4ld/zMjfv5rkVb/pvM8XkkP/dSn53PJt7UQUNleLXt/Z/R74YK789S/X/JzbZ/MIYGM6xuYBl0IlODmOqUKTYTIln/IyjH+lNJnXMbV1yA/CJv6RY3YmPrSiFzJ3yVfYRrutpPHesh9yYKFIyjHZknaxTanXdqYkVIqCF7JYbF/TNSrE2obBkCu0mid1VU+ltLNAOmZGRLg6ZERERGmtc4VqswcEHZZ680Wv41p8NRhNWJS8AEs2R4pybYPZfKW2nrcNgWlIDAFJ22TPWIpQ1ZXHUbBzOM63I6VBAewacdkwnGJ08yjHbp8m9Jrf0z7f16SuHlWEq2SnhK2vl0LwwK3piHgm+Mgayj+z94Za/wsVZMr+Ca0l85WAlC0JlHYc9HzF1iGXAwtFLNlOhhfdDH/LoYf2vhLxWCn44rd/yh8/4aGrevSff/ZXpCLnlEaCadoxNZm2Kj3a6ZnLFPSUEbeW45G4xZljCSqh4sojS5R9RckPkQK2DHQihfVWgVJoO1XFCyOyv26/CctkLGkzk6sQKBVptHYgSAp4wuufS3oZcnAjhBA8yU3wvswCdxxaYM+2Ye5z+gQBgtAwkEGw4thfzcV/v/3zbb91IgeDfi+NdmgpBGGHgb6xDI5lcPpkiuP5CuduHaDkBcQbCMJBqHBjJiUvRKHJZ7ahx8XpfIWRhI2BbIreoMf3sC28fSeYUpMj8xW/dq+AFRVc/TDs6Iwym69w83SG+24Zbooy0ZhasRLQOMyWozkiVBC3JcmYhVMjWtfr6limRObRFzP4/W+uXLAumPizVzRFtqhiMuXgGAYd+LlNis6WoQ9q3vPRT/Gej36KqakpPvr+f2L6+FH+5GWv5KKHP5JQafL0GRsG2DAQI+EY3D5XYOuQS9wUlP16G/BDrcjbq017NGmRjFlt/SAZM/HDkMUOTjJ+qB0T/EBhWwI/ctipnjHELIlrGVH0BoFtGWwdiVOqBBxfKtOas05No+yHWIboqe00wpRa9d4Q7UTm1aIbwVgpTWrOV0KO5zzGk1ZT/zdEPXpAlRy/dz7P1kGHkh9gSMn4jsGOUVOWw8F/+iBuqBhyTRaKPrMFj6KXY+dwgul8uU4OPnQH4+96M0Y2S/78+5N59esxBZwxkea0x6WYypW6rjcah6K5gkexEpANQqYWixQ9n4ofMpMts33EJe1aFMo+mZLP6RvSBAJ8v7MS7nKY2X/bqu8BeO0l52JGY1vMlHz7G7cAcMaGJAsFn2NLJebEAC+Mru+1nnf97lr+oiz5zq3TuKZky6CzYn8ypOTKI4srpr1tyOVotsxMvoICbjquxViuPJKtnUedNZFgyDWRkaPLdM4jUDCZsrGitVvcEuQj9fNA6TaxeyJdK6V2jumxwH300UcfffTRRx991NAnCPfRRx/3KgihVb8qAcRtkwu2DnPBVjg0X+DHNx9nPu/VDox+tXeOjYMxYpsGEEJw7P4P59P3fzigDf9SKbzZPOdtHmAqU2IqUyabq2C6FuUQlsoBphSc+/d/1pUcfDKx+RmP5fC3f1UrN8DUf/wPAM63/peR//53KJc5MrmD7Xdc3xS0fq15PfbpS5vSCJU2uP3ywBIlX/Gy+29uIgdX0agGLNCHrn4QYhra0ORHp0VBqEOv5b0QQwqSttnR078V84XVG18AUJCOWcxFRomThbwXcN2xDLtG4sRM8x4dRdsQWkmhVflgNVAKBmI2lin1Ie29nBwM7co4ffTRiIIXYAh9IF3FQtHvKYxlFY4pcE2DE+QYN+EePNTcI2FKyeaBGEslv0lJzTYlhYpP0jbuUpLwiTSFYrFINrO4qntKxQJHDx9i4+YtXa8JQk3CMQ3BdG6Nc28DFos+8WVCEK4H7q2jt2ubbBwyyBY9ciV/xf5cXVsopWoH0Y33GELUDpIlkLRW7/hSjXjsh4p98zrUphRwynCcpaLHgeM6vPCvy2Wenzi5BOGTBYGuK4wGbS5F19OlNZdQtP/phYpKgzeZ6nB5NVfYtuW9AAEAAElEQVQJy+iRTKu6kmrKAVjLrG86EjNFnZAgoi8EYArRRhBb1nGypfwqSsm1QjakbAxZz3W1mKL2NE3KqU6xKvpfGNWOUtRCrdbLUn+frX1DqVoqNPxZu7Opnrt0xG7VKIC5QoUh1+68/o/uO2luaAoqp+3h6Ic+zeTrXoGMoto0tyfwtmzn6Ac+CbG6o5JsoZ6sxPmSYbiq/hC/5fq271rv9wZHsBbnek6zmr/C7j0wOVn73pSSbYO9R2joRqZr/X4911kKyC6jXjn3Tx9gDuC6q9jwgbcjiwWKp53F/JvfU08ht7TsMxoVmtcVQnE0U2QiGUMuQ7DuhE9/5bucsXF1ivMXP/tlTZ8VELcNxtIxihWfqaXllVLXgkc85mKkEIwnbQ5nSiilx0+FJl4rNKHBNTWRUtswInJWoEcgQ+hrciUPP1BYpiRudx7LbUPiCVUj13SDiNiYpqwTWzvtvXNlP7LFRGrhkQN3wVvZ4Stpm4y4y5PLW/uGY+rR2gtVT6qZK6FTixp0dQj42bzHSNwiW/YZS9iMJGx+dyxLrqKVky1DMF/wSKEJzVVUAkUlYimPJZy2Pdh8sVIjBwM84pQhyn6IHyr+5XPX8Bd/fBaz+xZAQRARhb9TLPDK1OCqynZsxxnkK/rhD9o2EM1zJ7J+UvV1dS7HxLOegOHV1+yhEBz6+H/DllN6Sq1xbg8DhReCaxi1fa+iPucKoRVWV/vKe7u881UCGHQtErbJxvPOX9VzDcPAN2NtThkCeM65G1fMXKhgNG4x26ZWqbgjCkkPsFTyKfshScfkhql8TR12yDXZnHbalpihUnWiv1IgBAnbIAhVRDYEP9Aq442CB34YEQND1aTOLQVt72TINUk97L4I2ZvTQiP+Ij3IzPYRdu8Y4ZyNKcpByOWf/zEPeIYmZy/njASw79wH1cQuqvAC1ZGIaBuiiRxsSV1Grf7anH6151SX7Q89bYRDmQoztoGnIIxs0DHbwA8V2UgdNuUYZMtB7dmjcQtLyjal10qgcG1J2EWRtoq4bTCacjCkwLYkU4sl/DAiIbM80bPVDrs5HSMVM9k4EMOxmudw1fiXom0dXs3z1hEXYxmnhYIXUN7e23jQEbvPQAiBQESR/XTbm0g5DEWk27IXoFSIaDgvmBiIUSz75Mt+W+S6yclJ3vzuD2EZmuja2i6G4ppYf9ZEWs9tUiBEc72u5GjjhyFjKZtkzKRbqxVCYC5Td4YQlMIQvxw9K1DELL2Crvgho0mnpX8JYrbJtjGDfNlnOlJD7bbGDpUed4XQ7QcURa+3EdO1dCRG25C1M5e1oNKqiizgiiNL3DZbIFPyanPnQGyAWIPz8aBrtUV4rLbvHUMxUo7JXMHj4KcuZdsLL1nRIVABgePAfS+k6OmoCa4pKfoh+UrAlUeXUAo2vvJ5JPfd3pSWfdmlDF+mz7MyP7sCEYst64xkNix5yn5IuVDmewf1Gns4bjHgmiwVfQbjNmUv4PSNA2wYdplI2Vx7cPm1+HKw4ykqhd4jB2w+9cwaORh0/VbzdtOxHFLAhoEYhYrPZ//xUzzvLS/syfHSOmMPyWSSZBIedsoI//nbw2wZXFnhuNN+OGZKzhhPkI4ZVALF8VyFzWmbszekGHBtLt8/TzGyf9QiAClFJVR8f+9C12dduCXNfNFnvugzHLeYL3g8YPtwrXQC7ajRRx999NFHH3300cfq0ScI99FHH/c6SAFORBKumk1cx+SZ99/CR35yZ9O1RxdLTC2VeNCuUUpCoCLDTa4SoJRi27BLMm6xfzqPcSTDVQcWcC2DB+4a4dvXHCFU8KHpO7k7IMPOBAKA8hOfivWcZyOe8gR23HH9qpWXWqGAULYftO9bKHFj5OkL2vA9luiuXKQNrPVDIi8yUikVsm+xQMI2mMt7KDTZpBelk5CQqdzaDgEVWokhHTPJlNY/rG8r9s4VGIiZbB9KrHjYd3fAMrQy0GqUCZZD3DQZce0TDmd2j8Aqwzz20RvuyWT51SJQMF/wcC0DAasiBwOcNppaV3Kwxu9RBd9FSNv6sLtKEB6OW4RKRSo0d+044AUhMWNtan97b7lxTff97porliUIgw57O+LaDMf0fO+FIfNFb02hgRW6nAMxk6W7YB6+t0EKwUCkPjqfPzFFvZgpecn9NtVGhbhVb1ui9r9mXHrzdI00oZTq6DwUKrg9Civ60ec/DICb/ArTYcD2HhX0AOJvfAu3TWeI2yZxy2Aovrya2claR5mGaDv0d8z2704GDAm3zuZXvM4xBbuGU/QyxhuiuyLbYMzGGV0/k89QGHB7D/lfDglL8sCtAycUahzaCRZrwVzBQwiaiClrweFMqRZVoxsGThJxs3r47e06jUNf+QHO9dcw8qmPIo8fQxkGlV27if31axnatoOhVaTrh2FTvQz942tWla+ORIirLif1968i3fL1SspirelkLngIC29536rys1aE6+gF2fMIc+59OfaJr7R9XViBMJJ0ehuPu40XUHUQApQgCFXDuxEsFH0WijqiT9yS7BzqnfQ7PrmB6aljPV//ote+qe27yVQMpVRTCPVusGMxKqXl+2Qr3vD29wOQsi12DRuYETkYdH+wpUQIiSEFQcP8VCWUFSshQghmWpyrTCnwQ00oGk7Y2Kak7GmimkArEC4X8aiqHqyJgdUw9vXrk7bBWMLGNQ1C1az2qgBnjevMlVDNlxR6bjtBAcMm6HlN112m5DMStyh6IaMJm/M265EsU/bZP1+k5PlkI1PRcgT8uGW07Us/d90UO4Zd9s0XsQzBSFyP01UV0U9fegvf+MJ/8LnPvJnCnE8lG5AVIb/2ilxkudrZaBlUH/e9v/nn2ne3TOe5zyoJ860wDL2X2fykizAaVAyruZFKse2lz0YBB79zef33Ltm9fTZPyjGIRarTScciV/bbiF9VaFXhzg4jQnR2WYqZktPHkqC5sFVOLHnPZy6aa4peoFXQG5yGKkFIxVeMxG1cyyAM4aajuZ6dDr51wxRfv3mm7Xuji9dPEKnLTiY1UUopmEi6DMQs7pgvdH3OTN5jpsNaYqHoc8tsgYdsG4jqXz93qeRzcLE+RrmNY+qKCrQKLwxr7Xk0YTOR0OOjH2q7qwBkXquvr5YcLITgEU6czAVbGUtaTGcr3HIsx86xBNd97Zec84cXIZeZG2941NO4/hl/2rEcXqBqY2IVliFrRH4AL9Rto+AFNVJYFTPZMnO5CpuGXG6dyvKVq44C8IhzNnDTTJErbz3O2ZsHUbYJQuAYWrG7dWwoeKEeZ6plBpyI9InS+7O4LShU2ss5GDcZbNjDWIbBaNJhKlPWhEZLYguotOwrQqXIVjwOL9Xf+5njKUAwlLBwIxtF6/pJKcV8rkymFEQE0naEocLosgQIQ4UtBeP//oHOF6yERILE5+trklRMO264lmQkZiGExLX02NHa1qTQ6/VWcnDzNcu7pykFfqDHEF8EtWbVTfW2EYaQlL2QuKOi57SlznLa5ZakowNM45x9eKHIRNoh7jSv8wWChGOxY8wkU/RYzHvLdm2t2B9GZRMrkoSLnlYetiNRFteSeMHqHXaMRtZ9Le9w5eGlNtvl/oUSp43qCEOjCVtHmpT6HZaDuqNmwjawDK3wn46ZeFs2cuDfP1ebl6rX0fxYAjfB4f/9EUoppvN+TUF9Jqf7jQKe/4rH1Zwuu45sD70/x/7ts7D91K7lrtZv2jE4MJXhzun6/na+4LF9JM62kTjXH8nwoNNGcV2LW287hrX3N2xNprqmuxJe+tnL+dc/PKPn67/w3Z+xUPBq+96YKVlqcHgJlbZtbB12WfRjfPkNH+fpb3vZsnsr577nc+rXvlb7fMZEikftGuH7t8/z8FMGl7XBNK57do/FmUzayBrrFxxDsHXAYduQy+bBOAA7RuLcfDzblCHTkFx+eHmi9eWHMjx5zyiTKYfbZ/NMJG3GElatbKbsqwf30UcfffTRRx99rBV9gnAfffRxr4QQYDeQhINQsS9TZsuwy6H5YtO1oYJf3D7L1mGXHRvS5HzFVLbCprTDbMlj70yeXMHDizbcuyeT/Ojm6ebn3VUF6/K81s8T3/gi4l/f3/X31UBF/93x9V9RrgT4oUIpOJoptxm5RxrUM3tFqEIWSh5FL6Tsa+2vLQOxng6rTAOuO5Zb9TMbEYsO4e4qLJV8fndsiT3jqRXDJN6VcExBxV8uSOLaUPTC2qHovRnrXzN9/D5iKG7VDjFXi8NLBTam4uuan36rXRsqgQ75akThkatkk4Wiz7BrIaU+zMqXg5NaxyUvIGWvfl4FsJ2VFT46IRZze7pOClkPxy4lG5IGo3GbQ0vFVRPzKoEiad9z5sN7IgbimjR0fKm85jZnSNl0ONx2Ptgh4XwlWBVxWwX1a9+bWeC9Q6PEOkSWaERJhdhCctMDHwcz9cM32xCkYxZnbxgg4dzdZomVtFPXB70+4Z7oZAYrh//uoztOdJ05mXLaFbujz5mSRyZyeimffR/mP/AfTeP0lsEYJ4r4Tdeu7ca9t8Ku3Wy5+IE1QlFjKRqdXJerIQUsPOVZZP/sL9eWjzXi3uI/+MCtaVKOQcI2WCwuP6Yvxx05milxNCK7pxyD0YSDQKvTNqJVpXsl/OTq2zl/5zilUneCXRWf/EXnEMyZoo9Ar51ilgBVJfCqWp70J8V/ffEbPOuSx/Scv4kNm2p/CyGwW+wUhiFrjiSdyl2shNiG6OiEWyXrlLyQo4slLKNOMK46UVXVCGH5cOlCaMKVFyodsSlUbBpwMZeZh+2T6PxmSoFpQKlHtcNeEbMMvCBkoaAJVXMFj4mkzX02D9UUlXMR4a9XP2VDyqa5VQpd//vni+wcdtk14jY5RRhSkLIlf/Scl/K8F/wZAzGb/7jyEAVPEfvWZ5Hf+syyTvrVJy08+ek88pShSDFWt9ONqRgxU655VvjQ/3y7NqZ2JOk2/L318Rdy/Ae/1YTcZR6YLQdkywEpx+DAQrH7heh9VDfycDeMJmxSTn1vUdtjCEG+B1tdpuQxF0UVEwJ+dNsMl1x4GtmFzuqDA+ObeM6/fb8jORi6RwUIlOIbN88wHDdJ2AZnTiR0BAOlIpK5HgOsbmzMDpjKVlasr87kxc4QAlK2yZ6xJHplVh9PjuVKNREG96m9j4GtiAvBTCXE80KElEwOxVmoBASh4if/9UP+98rDvPXjf8FAcan27J8+61UcuOiJbBuM8YjxOEOuxVS2wnXHsmwdiiGUoBIqEpZsIjE2krVtQ6JUSBgqNqUdjmTKuKbAkFop1QsF//Wrg235NZXirI1p9ozEcB0TX2kCqSUFEmqKzrXrpcAP9fgoIjXLVkcNQ1IjvoZKr83HUjaJWOveXTVFJqoSNxsRqpBsxW8iB58zma45ViznpDy9VKoRbIsRsdk26+TYkaSFtYyM5ky2TDA9s+ZIFomfX9n0OeVYPOLUMWZzZSqe0kryQUiq5ginyBa9muppEOo5ruyFbWOeKQVS6vdgSFEjulZ3ZV4QEoawZcRFSi12MZMpU6hoddnlHGxipqTkh5T8EKVCpNTXTqQdDEMr9eZLPnHHJFRhE3HdNrVSuh/ZjKppdcN0tsxIdK8hBQnHbIrPkXZtYpbBkYVeHZdW3pdWy+5F11XbQ8zSjN8wVHjR2U7n+/U6qhLVcSsMIfFb4l0dy5aZyVd40p6RJgVzUDWl9aG4hR+qmiNopuTrSGy7T+fWS3/J7Nv/iQdd/u2mdMuGyV+/8EOQTLLzisOcsTHNUNrhhunmuahKDu5ltJz4s+dyoMFBphUCGEtYmGHYRA7eMBBDCtg/VyBuG1x02igPesermTx4a9P9L0uk+M98tlXkfFkIqaNRvOKrN/GRFUjCUkoKkS2y6AUcmM9zPFvitLEkl73qwZT9kJuOZTg8X+Rr1xzBEJLbji9xGy43vv6LvHzht4x9tO5MqQB71y5O//GPauVvbBoX7xnnfpsHKPsh1x1d7Jgn15IUvIAdwy7jCYudwy4lP2jbd6RjJmdMDtQ+7xhJMJ+vcLxB+Mc25bKOA6Ad4C7aOUqu4jGVLXO/rcOoBvXgfhDIPvroo48++uijj7Xj7j6J66OPPvpYM4QAKyIJT6QcHrFrhGwlYDTlcM2BxbbrD84XObJYYtNgjN0b0nheQLnkc8WdC5yzKV0z2t5yLMtZG9PcdjxLZan30D/riSppV6BDK+YaFA+GLv8pbgM5eLXpdvrux5/7KWauwp3zyx8G/M/vpnj0rmEmks6KKjECbVibzvvkKtpgkI6ZOIYkaVvLKlkYAsphyM1TJ0YOBm1sXS/F3F6hgJums0wknZ7q6mRjJWWiE0WxEvak4HBPRhDCqSMJbp87MWW8Pn6/sVYb5FkTKdS9hWXyew4hBEMxmzBSS20lfDeGIkzHTPJlfyUhpzWjcALOK7t296480ojz7nvhmu6rEmYGYhalNaj6Z8snTz3490U5xLVNNg1Jji2VVq1QvlacCOHz8kqZf1pa4PUDQ1iINvJiqBRlpfhmMc/9L/tt2/2VQIdH/tkds2wfiXPqWBKB6Krqtl7oXLP3LEJuBzGnewjWKUe/J312NTjRiArjie77iaRtkJlp2DOdjPqVazQdTm5iyxMeiFTLE9lqSq2xGEaD8mtx9x5mPvCptT17HXBPaqrdmtBjdg1pRclA9ZbfHtuiJgx2JvR2I7MZov3AXqFVb6++c5pXv+TZfP/bX+94byyR4DO/vL3jb5sHXPxQtazZuhfk3Ps/kDPOPo+brr+26zWN+MU1t0KD8mlV6VOPw1rxMgQsQyHRZWydpiuB6mk/7AWR0mN0mW1q4qpWQhM1hUhFlYitav9eeyzTlNb2IZeVXK4FgpRjLKuuu9Z2bhliVfv/1vqpCqpK9Jp4ILIVDcWstkwNxCwWC5VaWPdh12LYtWpzpRSa8dv0WgQINLnPlKKJIHwoIsIr4M75IqeMNDtSDLkms3mPuAWpmM13b59jNOFwcLHEzU98LgAXRiThWllofv7ND38y8Vf8DSjdN6tKjaYhcUw9pr7qtf/IB9/9lp7rEOC0//50V3JwS/EBGHvSwzn8tR/TywhhGxJWoDytZTrrTqTurfWFirbIA5/4sY6m8svLvszXP/VRDNPmxa9+LQ999OP5xs0zZMod2mZOz5ViIMWvDi1UM1ErU6AU5SDkWLbCwDJRyIJQ8aTTRwDIlIKaE1C1TQuEZmQr/fdKa7qCF7BvMd9UG5vTLmYUqUPvWwNc08C1DIpeqJ0560+NnDnq706W9X4tEwbEhWx3MloGErjolCHunCsQt8BMGFxztMhc0WfcMdg24vLh13yc49kKmwZjHFkskXJNtuXLpMbiZMsBFT9k53A8UkMNyVUCCpUApXT61eyYDZOGFLBlKEEyioLi2gb7ZgsEUZssewHjKUePPZWAuGOwVPTZlHa4/+Y0+YrPHfMFHPT4NBAz8QJF0QswpCRT9glCGIjp8fXgUpEh10ag2hxDghCKEXPSlIKJAQfXrq+FVLSwm8mWybeMrwI93uUrAXnP59BisSnCy5aBGGGo62FywMFpTLfhryBUbSS6IFKadS2JZUritkFrDyt7up5zZY9CJSD4sxcu/8KXgR0JTYC2K8eidxP4dWK6ZUgWCj65cqDVZDuQaW1DRyZotKtYhk7Ai9YwbmS3Vg33TAw5yKgfiCjyjmMF5Es+JS+sCWHYkROPAJwWQm/JD/EDne7B+SJpV9d3pujjFH3KfohlQNyWtT141X5eVexfjiSsFMzmKriWZDTldO7rPQ6clqGJyd1QbVvdyJXaYaeBgC+0wqwUglBp9f/6XNw5U6GCP71gM1ceyfCrg4tNv/mh4ge3z/PArQO19Uq2HDBb8LQKfajaxs1AwWzB4+e3zXHdA57FFx7wrK7lu3O2wJ2zBR5x5gQJWzKZcqj4IZUbb+mZHFzF5Iv/iKlPfKlLGXU+y4HisWdPcsuRJTYOuQSmSaAU2zekMYTgqX/62Fa/FgCenkjxyVUShP/koz+o/f2Kr97E6PxtvOWlT23aJAop+cWVN3D+2Xtq37mWwekTaXaMJHDM6tgIDzplFE6BJ5+3gU/+8gDXRoq8s/kKb7XP46Ef/ja/uH2uRvN+6yVncHr0d6c3P55y8MOQ64+1r3E3ph0GHBspBGeO178PlWIyqchXfA5FDhC2IZvsOQI4b/MAvz2wUJvHS17AjqEY+yLS/GmjcW6bbd5zvOB+m5BSkLBNHrJzBCnqkT366sF99NFHH3300UcfJ4Y+QbiPPvq4V0OK+gHN7rEkKWcepWJsG4lzYK79QCsIFQfnixyMiLDDcYvtI3EWs0XsXIHk+AAzuQo3HNWHL+ft2dSWxl0FL5Zg57BLphxgSlULxZd642tPKN3qhtqzbD739i9AIgGLJSZT9rL3PXrXELYhOJ4rk6/4bB9KdDzstg2BlIKyF1L2FQnLZLGkjQBlL2RD0l1WIcOUgrzncTRTXlbhqFdkywFjCZvQaT1UPPk4niuzUKxw+ljqbiMJ31XE3aIXrqiscE+HbRicPZnmhqnMPZCUc+/E75vRLrfM4Xo3nNknB9+jECpFzvOZL3grzjHVsMarVcnqFflKgOoQjrMXGIbBxs1bOXq4XUWpG4ZHRhgcHl71s6oIlao5/KwWXqhWJKj0AZYp2TAQYzpTumucm1bd9JopDt8pFdjrezwvkeKRMZdqNF1LCK6plPmvfIYrK2W+lOweCjpQijtm8xxcKBC3DMZTDqeNpVgbBaUdTqQC1cjeuacq9FZxz87dOuD3voB3LVqrcz1WHJYhOH08WUuv+KI/gQ+8b/mbOmD0Z5d1JQc3ojqyGKUS5V9cQ9CwyRztekcdhoCQiFRSJXu1VIxjyrvVadOUgtPHGsbChuG0ltWWjDfSPA4tdlaeM6TEDxsDpS+P9YqaYnZw5vBbyD9VaJuN4MOf+BxBCNPHp3jvm/6W6dljPPlZf8Luhzy+63NsQzDkWh0V7pbDl7/7C1709Iu5/Fc/614Gy+Z3B+YjFdrWjOvPlqHDzFuGQClBOVRYsrMSc9ijJ0AQUlMkrkbhMQ2tVOkHYJmCUqWuuC2ErtsdQ3EWSxVdz6FCoDAMuWzdlIKgp7WXVgPWappBEKUvxLLhyosROcuQuo5WQmv1VJt7EKVV9EJSjsGY0a56nq+EED3DtSWW7ECN7tD8q5GOSi1qk7fPNjsFH14ss3nAqZW3qib8rVvnasqIACNxiyHX5JYnPpebn/hcHvGhv2PrzVc3lWlq2+l893UfwDUFD2jJT9rR6shEIqR/9pevXRVB+AWvfSupT3+85+sBjKpy93ISwhFOln/aic5Ls4UKKcfArJE86xl98BOezoOf8PTa56OZMuNJhwFXoZRizz//Axuv/HlbHhTw2yc+r0b4bsVy/mpeqPAqAYYUUfSOLi4wQgs+rKTsrhQUKq39tF5GLwzZt1Ag5RhsTMUwhGzbPwohiNsG+Yom2wP8rlziX7KLfHRkHLPHt6CUwpKS4WSMq49mGHVNrpot4pqS2Zkcx5XicETqci3JVEYTkbNFnxsOLzGacqgsaMVfY/8SpoCxpE0QKo5lteqoJQVnTCQYcJr7sRDgmoZ2pDAEQaDHxhHXJFvyUMrg8WdNaMK0F/Dlq45iSsFMKeBn++fZNeIyHLcIlWKx6Nf6sVKKxZLHtVF0urRjMJbMc+ecJu4OuxZ/eOY4MbN9XAmVYipfZjTdHL0nX/aZyVbargftMEKgcExJqCSnjCRIWGbTeKqALcMuhiG7E8iVJhBPLbU75w4lLGzTqLWD6tudz5dZLLS0ty5K271g46BLruRjSIFr6+cppZrWMFV7s1av7jyIVALtbINSGFLoOTAiqaqWdKqwTUm26DGUkMioQzqWgWMZpF2LqaVSbUwv+wrL0KTrVpu0KaUedyNkGvpjlczsBVo1uux3zr8fqq6R8wQwkrRJxsyudp1eh1ZBbarriNgy5OBOCFSVzK1zELckXqhwTE0Y9rrsiUMFO4Zdrji82KbU/7AdQ1SCADtat1TVl0t+SMIxGE3YLBYqNFblXLbMdRGBdTmkHJNzNiTJRHm+Y06f3T3/7X/Wc5mrcI52tpN5oeLqI1kCpYnflmMyNpaiavETQhAIwTP+9HE1p91WDEmDJ7oJLivm6dV1/oJzT+HW6TxFX2EIuOCBD+BL1xxpuy7rmNx6PMNo0sG1DAqR/c0xDVDaXtR4phazTF7+8FOYz1f4fkM01GNLpSYN6Ld/+xY++MwYp06kdDlpb5emlIzEbWYaFKKloEYOboX+ThC3TRxTkrINsmUfPwwxpSQIQ44sFAlCHUmgShAOFZw26mIZggdtHSJuG20E4W1DOvKZIeuOc4156qOPPvroo48++uhj7egThPvoo497PUypVYQHXIutgzGuPJxhz7YhDs4VuhphBm1JCoUkZN9snm1Ji8Rwkjtun+L+52zm1hm9MT3a5SDuroBTyhNccA7jV99MEIbcsZAn/bur1hwarAolJJ/+18vavp/KVphIWhzP1YlQT9g9jIzUdPKVgGJk0MxVAm6fy3LqSIowVIQoKkGAJSVg0HgyGCjFhmSMYiwgZZsrh88TioOLxRMmxkgg6RhYpmQmX9FGjZiJEFEow0pw0smsCcvAtQ3unM8znnSIW+YJK4itBne1qm/J1+FV/VCdtMOlk40whHMmB5jKlZpCYPWxNtiGYDTRGobxroEQoEKWOZFs/2E0bhMJUNVl3BuloRrbdTPfrE21Kl/RaiSVIEQ2PqvbCVBNRYeGcJPNB0Z+GDYdbpSClQ9cjaYxt5O+FeS9ZhJCXf2oqoC0wkM6PGGl36vlWqYq2nKq6D0rnQ6BAUp+wNFM7327V7LHWqCAvOehEDr0b+QIVA1fK9rU7JrL9fp3fpC/eO5Ten7eX7/lvRS8+oFYrT5bKzz6rJRi/0KpRorYlHYo+2sn+LqWgbNMCNTe0dyJ7FWE+b03wDIlG4dcDs8XlyXmrAdWe7byqP/3Xn74/tc0fbfX93jj0jzvzgg2GCYSmA4CFpUeVwyrtznACxRLgc9Syef2mTynjiZI2fpeIegYmrYXSLGywuFddcbU63Ncy1ixrI6pU+ulfOuF9aqne5bz0D0qM11x4/EMQggmkg6DseWdOtdj2rINiWo42U+84CXkV0EQrs7v8Q++t+d7qm/CO3qM+fRIz/dVcTzXmahTxc7hOK65WhPoSrqPvcMQAkO0zFetzW+Z5jiedDp+X/ZD4pGiX3gXbsBWMz+Fqnk9NT4xybs/+ikAMuVKTXWsEypB9xDZy0EK+OSXdRjrlz7rEn750x/WfhscHuHSH1/J2NjYiulUW0Clyb7Rfp1ldCcWdU63uW01ko78iiJuSRTawV2hqISK2UI5IlZJlIJMOWAmn+/quA1Q6YEVv2+hwO7RVNM7lYKu0QwsQzdUU4pI7VErP1ad3vQaFpQSDLsmClEb9y0pyLYRIeso+WGNWLIeCENVq+lGkvDDd4xwYLFUI0+fOZFic9rhWK5EvqyJn/sXS8RMUVsHA8wVPOYKHjuGXfbNF/nxK9/R9dlKaUJx0Q8xhCa7Vfywbd1609EcZ2zs7khVxcXPfhlPevafID798VXthxSQ+rd/gdf8zbLXJm2jN0fANfTH7vN+74llywGjCUPb9eJaPdoLFdmS35bK0UyZghfWQtJD5+H1wm99hvO+/yU+/y+Xkm5RDF6v1cGK9s+uqN/nGAZ7xlJ4YcCts3k2D8RwDC2haEk9t4RKK+WOxC0Wih5X5vO8LbdAQSn2+z6nW8uvHRrhfuw/ue14FseU7J0vM+RqcmvKtbjhSF3JfChuk3AM7pjJ1+x/1x5YYM/GNJat1XsD9FvONDgqeKHiuois+/Adg5oYbElsQ3DrTJZQwXDCouKHlIOQuXyFwbhFOfAYH9QOBBUvIOkY5MsBtx9eYNq1cMQwrtN5nr9lpk4+y5QDMuV69Dyvg5eFUopiEHBoUe/HsqU5tgy5DLoWA6697J7WtTRB2gsUSdskVCClIOVqBWhDSsyqpDjtZicNgWEICl0clRvJwdU0QBNooaUfu3HINivQ94R4HCEEKbd5L+cFYdOcYxqiJ+dL0xAkYyZBGDKStFnMe13J86bUtq+Sp/CCEsNJG9OoEyOFEFiGoNRQPYbQghWNdnAnGneNBhtbNyiliJmCUoe53A8VfkW1iWLELMlo0sFawcbRy0gnBBhSEJNVJeB2nKhtKlCqRgp2LdmVIGxK2L9QaCIHbxuKkbAMdg7FyZQ98l7AdN7nF/sXMQRMpmzONpKUgxAZOUeYUlL0Aq6eXTlS36BrkSbkE9+8gb94xvnEkw6GEGTL/qrVg6v9KWZqcni1mKVA8ZsDS7X3MRK3WGjoY9sGHXaPxYkf2YdcQeP+dekhpgKfaytlVjo5/NK1RwF49KnD9fo3jXZSvKGdTu6Yy7c5MoEWOZoveLiWJGGbuJbBqWNJ4rbJk8/d2EQQbo0UVfRC3vC1G/nvl1yAaciubbKxjW0ZiJFaIQKoBBxDsnMojkBwwfY4hpBkS17NicIPQ/bNt4s4PWzHMErBN26eafr+Ly/apiNzdOhWhrin2RL66KOPPvroo48+7n3oE4T76KOPez2qhsggVNwyrTfQM3mPi++zkW9dc7TjPSlLcvPeaY7MFXjA6eOEJcWQYzCStPnmT27n0Q/ZxYGFIrZRD2FzV+4/G5+VP38P8atuYvdoktxrXn7CaQdG90CUSdvkeOQ3ff7GVM0bvxPKvmIqVyRX1kRbyxDsGm4/2HCi5w3ErBUJDIaEW2dyJ0wOHklYLBV9bYSODNGhgqUGg3/c1ocLKDhZtArXliyVPLxAkZsvkHZMdgzHOQF+VU8Q6AOou5IcXEVVGUIKxb1VTNgPFaNxh8mkw+FM8aSph/5fQNlXbeFA7wqkHINKEK7qoB5gU8qtH443Mlnp8HcrWn4zhGAmX2lSX+gFAzGzaazqY/1QNaivBieba3N4qdSRaNILJs66gEc//Xn84MufWfHaBz3uEk598OPYt9A5XHg7FAcWK9w5Xz88PZ6rcOZYPPp19crHlSBcUUFrLRh27x4nhJMJIQTJmNGuALXO6HYo2A27H/KENoJwFXml2Ou396//iEJArxYzuTJ2ur5mdUyBIQSBUpEjg6iRpxpJTI1uEL230PUjAd5VEIjogPrele9u2PCCp2Ifb9+3VUt36CWvQj39OXdtpu5B0KJsiul8WRNZGl57roVstx4KsR35B2OTMDO18r3Rv3MvfiWjn/jQqvfQ8ec9lflLu6u+rhV3d085UVuC6kIK+fGddWXAi7YPdFT2bU7nBDOyzuglO14QYHZSjF0GOpy2Tv3fP39p02+G6Ezy7YRO29n1WBuKFdRcqwqBlgH7FwssFn0EMBS3mM172IYg5ZhapVNAty1PN5JvIzoRGEPV7GxcDSWuVF2dsXENUbc7ND9vodhM3hx2LUYTVTU4QRCEDMZt9kfEkZRj4toSoZZxOu6x/jupQZY87dA8U6gQMyXZcsApIy6DjkGoYCweYywO5cAnU/Z56PZBLFOrNN8+V2BvpGa4b77IeRuTXHs015S+bWhl1A0pGxTNdoTILrU53d6Wbzqa4wPveRsf++d3tv3mJpJ87co7tOPF/r29Fb4F6R9dRu4vX8N4wiJs8YBVSuGYBqNxu/ZtwQtYLFaqlzQtqjo5ImxKx/DCkOlujhpd9gwx0+CUYb23WCp5TWTsRgy6JkGomI321fMFj4RtkCkHpB2tmluFa0me/KqnEivmatnvmKXoX6dS4umv+2O+/K4v8rCdg/iRU4Jliq77cssQJCI11YUV9pbdxu6VkPd8pBAkLZP5SDm8FBkSF4percwTKYfhmEXJ14IN1Qh7f5+dr5Gj35VZ4CPDY7itTiod8iqEwL/P/bl1psjmAZsZ4TFT8Nm3UCKRdrl4LMm3I7LbzvEEpm0SAnHLIAgVm0bjLHmKoGF8UIqmd1TFeRuTDLoGtiEJQsV8wz6xUKmrnwcK5vIehtCEPi9UzAUhZ25Mc/vxHLcd1+cAmaLPk8/f0ETrC5XCC0AsM3BkywEz+QpbBtxqjjmUKTSprxe8gFundZsyBJwykowEMjpANJxTRMrwMQPSrlVT3FwJYRgym6uQ76AAv2kw1pUgF7MMRpMWliE5FikPG697A8Fr/mLFZ7Zix1VXdvzeNg2GEjZzuboidC8E4VYirWsbHW0DbuTIEYSqNg8dWSiRdk0G4zZGZMgvt5Boq3VSjMZ5Qwq9T1QQMzSZPgjDJtKrEJpEqlCUPN1ylhPaqEa4EGgSe8pdnjxZQw/jgFL1vHfCegiAVOfEldMS2IbgkjNGyZT8pqhXdyzkcaP+fk0UfTNQcCRTQZHj9NE4oaL2bv0g5DcNa9VO2DHicucdMxRsTVX4yJeu5mXPuj+BgoS1doehkh8StySuZZCrBNxwPFtzygc4kikjBewZj+NaBsORM0T6Rc9cMW1TCP5laIwvFrJ8Op9lPuzgzCxETSXYMSUxU1LxfSqBjq7Vikqg8Es+G9MxDndwnit7es2noy7o/pd0TE4ZTXL25gG+8NILOZ4p8ddf/l3HMWLHWCLqP1H2aF9S2VEfHYlbpGyLkaRN3DZYKnoIBJUgpOKFWFEkjBAgBBnNL9NLZUZTTtN5ohSC0YTNVLYu1BAouO5Ylt8ebnZeiJuSLYMujeNkYz5/z7QB+uijjz766KOPPu4W9AnCffTRx70aStW9wG8+nm06IJ0q+Dzpvpv5+U3HWWohqB3K+wxuHCJmGdx2eJFTtw5z6q5xwoTLlo1D/O6mI/zdwzex6y+ecbfrSing0Gv/hsF/egerOxbrjF/8UXeS8aGlEo4hKAeKuL3yrjsImw+ICr5PwjRrG/fqYVO8hzBYApjKllat6hu3DEypFRkkAiG18XglFCpaXcMLFIHShseFgrdmolYnzEZG7NGEPsjLlH2uO5bh9LFku4LUOkEKreZTvhvZuX6oQ2ZZhlg1+eieBD+EyaTL5rTLkUyx64FVH/csjEQk0LW0vGAdWRNrSWkkbvUJ6euM6oFyqFg1ORi0Y8lw3CJX9k/YeeVk4E/f8C6Gxyb50r+9D6U6jPtC8KTnvowXvOaNPaepgGuO5tsOxKdzldrB/yN2DK46ryuRltYK+XsaY9C1DBZbFaDWGeUelAUbMRK3eNU7P8oH/7Y3h7XBsUmSyZVV8TpBSq04aBsiInrRspas98dqyNdtIy4yOqyfz5VZKvp3i7NUNxgSzplMUwm1srxjSBIxg0I5oBIoDCEo+j6OaSwbMt7qcnB80nES5Hq++P638uRvfgXT0sSkRqJaI8l76398EP7jgxx8xvNRL/7zdc/HyYZSWhWsVRW+8fdQrRyBwwtUdwJWFywWvSaSoBSCAad3JcEqEt/9Mfnz9yxLvq8+xU+lCZ/zfPjEh1b9HFE+ORE8VKidC6qZ7G1G73xVI+GrFm674XPHe06w+6zXCqSWztQUyW99CWIJcpc8A1YxVt/Vyl1rmeeF0Mp+NaeRiNhaJR6BJgUJoVWYu/U9S2pS0cpK9AJT9u4gWwnVioqGQigOLZVYLPqkHRPblEihkEK3s+qe4Vi2xIZGJ8fG5/Qwz3er3mqZpWgP/d4LqhExGhEoxXy+vrYZTdicPp5iMuWQLweEIehgF7p+YqZ+h36oVm1XCMLOJKh8JeAHe+coeCGPP22Y7UNxFooVDmeLnDKcxJKCmyO1US9UeJGNceeQw9mTCW6ZLnDKiEvRC3jEziFunc2zezROwjYoegGhoquj/XDcAqUjcDWOpArFH7/8NTzpT15NyrGaHEwHYyaL1TW5H7J6fXWNpZJW4J3t4Lw6Egc/qBPAMiWv6550yG0+SopbshYpbDBmc9tsru2ebj3YEBLXMQBFwWsnQgp0VDBDCEotbdkLFT/btwjAk04fIV8JED/5PuPvfMOKz21FMrvIuRuSOgqZrfNTCVRX9d+rfvRNPv7et1MuFbnvQx/Nn/3Du7umvVD0GXJNMuWAMOzdhafoBSwUPZwOjv+uJWuE2+PZMscbSFeVQPLTL39SO9FF393gVXjtwhzvGhzBEOC02CJ9pUlephB4v7yGUtFnQ8rkumM5jmUrLJV8tgw4HFoqY9smjz5znMGkQ9YLmc17DA8lOHo8w5HFErdP53jqfTeRitsslXzKgerYlgZiJoOOwVIpADTRe8jV7ajaO4ZcwUJEMjSldhqo2nkGYianTSS5fJ8mHl6wY4hNkZLmgGMipeBYpsRtsyWOZsrsHHE5ni237ScEMJa0uXU2T8ELuHE6z2y+wqN3DXV8L6bQ0QsF3dVmG8nR1WZdrCimFstsHIp1TFdD37dU8ChWgq7jribZdm6bhhCkXJvGVUPsEY9iZf3WdiQ6rAuqT43bBhVHj3lxx0BK0ZHMXMuzIVrmckWm6Ol5OlqbVYmbpS5RY4qVgHRMRQRHQTpuMJut11Gj80IlUDVPINuovie9DjQN8INIQTcMm+pZoZ/vWnUid6gUfqgIQv2MmCUYTcZWVA1uhGMZjCY1qXq5MUDQfY3Vi8NPL7CMldc0frQRLVSCSM25nilNTtW/P2TbIAcWSzWF7iCEDSmHUhDWbG+mIXnQrhFCIXBjJjFDcM2+Be6cyZN0DDbGTY4cnmc4bnH5bTO88pKz2DmZwnAdDi6VOJpZ3b6nEQMxk/GEE7WZMg/dMchcoaKdkBQczZaZL3hMJHQkuSBUuq2q5dWDqzCE4NmJNH/sJvlGMc8/ZRcBSA0N84kf39B0bdI2mG04q1oq+ZE6O2TLepxLOQabUi5SCIbcoE1sI2ZJ8i1z5Z2zeRK2wUQqxuSA/u9Nf3AG52weYGqpxI9umebzVxyO8tu8T+nUonYMJ5nOlplMOCA00d4yDUZTur1nix6ZUDU5YIVhCELUIhsdahAZAL33HHIsZvOV2lo1CBUJW/Kk00e47NY5AgXPPG9DtCZtrv26S1P3NWsfffTRRx999NFHH72jTxDuo48+7tUIVX2j+LN9822/H8tVeOiZE8wsFhlJOdx8ZIk7I5VhXwnM0QEmRmHHhgQz2TKbh+I4jsGLPvjnDP7P3N1ODq5i6Iff4qZXv4GzTiCNaj1VLn4q8ZLfRtgdiVtYhmA0buEYksGY2VHloRMStlZcObJUwrUMChUfIQQ7huKkHKsjObh6kCqEwJSCG44vrZqcO+xazJ+AOmmjoTpfCTCEPvBYWEeFw0BponCjcuUtMznGEzaTqdiKYc5WA1NqPb17AoktUNp4ahviHpGfE4EfwkTSZdNAnKVShUOLxXUlkq8HqqHzyve0jN2FEOhxbK1EblOsr4bkaucPUwqKHQ5G+1g7LCnIlvwT7q/zBQ9L1g8m1xNiHRrdH/3pX/FHf/pXfP+rn+Vbn/l3ivkcsXiCx/zR83jSc166ipQU+UrIVUeyK9fZGhZI2XLAcNwiX/FXre79fxEx22QspWqhGU8GeuWZSgHnbUyRtiXi8ZewND/Lf737H5a9Z3Bskn///tVrzpsAUJqwIqWi2/AoAC9qT4cXimwd0Up0/moWWHfRgl8KoUlhkaZbJVBQCvBCrVbnK4UllycHgyaJCkOrKt9b+9Kb/vSZ3Hj5z/jL1ADb3SRGh9Pw1m8UsPV/Ps3c7DS51775LsnneqF66LwcRk9gDdOElsdky0GTCp4h10YQBkhcfTP5B5wLleZxqfGRlcnNHPvUV2Ct5PxVsE+HXKt2eL510CVlW5hScN3UUtu1S2Wf/YvFtu+bHt3l+157mW0ITh1JdfytWDmxTd96+bANPPepjB491PTdyGc+hgKyD3o4C//4rhXTMO7i03m5hkFaiM4kzUZSTNUx2RDN46kUVadbSSVoJg8LIGbLhkahUEpvIiwhkIEmACoUIrJVqarNqsF2lS357FsocOpogripFev8MMAxDQSCEEWu3EiMC7GQTOc8krbRtB6dzlcYT3YmnfXyrlYiYK/n0rc1qc2DLqYhGU3GsA2vpkgJmmgUNEyItikIw9VN2V7Qbo+wDMlT9oxTCUPKQcitM3VC603TWWxDtJV5yDUpejoSxmTKbrCTKe67MUXMNAhRK9rP5gteR4fFuG1QrASMJGzylRZbVGOBt5zSS7HbkHnkE4DO6r+g1ydV0pAULBsBxzYM0k6zQ8uRbBGFHpOHXaumdFvFck6CoQq5cTpHsoOaogJy5YCNf/xoEkuLtaoI4nFmPv/t2nWXXnuQL770EbxUmtwsJdtNi92m1dN8shAEfKWQ41MP3Epjqd/72a+Tuu8DmhTH/9/TH8mhvbc03f/Dr3yWH37lsxiGxdd/d4iYZdQITFVSu2lIDBFgmoKkbfbkEDxX8BhJWB3FD5bbjy6VfD727re0ff+bSomnz07x9HiCP4qnsIWoRRz4TrHAF/JZvn5oAc8PqYRlimWfyaTFZNKuObZlywHT+TLbB+PcOluPShMCp24aoOyH7J5MsnEwhmlIBmMGCkHKMbh9ttDUZrYMOE1EtXwlwJDNfXU0oaPEjCVsRuI20/kyCsVCQduzbzhaV548d8sAm4ddhuMOkwmbQCmmsiUKXoAC7pgrItDkyDPGE7iWJGEbSBRDcYv/vXG2RnIEuHOuxMYBm6GYRSpmauKtbTXVfclvHl+q80O3+b7sh8xlK4RKMZKya4qboPvBfM4jEzkDdFORXQ7NZgXB1mGXY0tFvADil1xC4dJLe05r1+23dbWNKXSbHk3HatekXdU0x+2fbY5aNBS3WuYjQcwyyJT8Wj8xJKiwZU0Z1B17hNBk3SDUJOFMoT7OSAFxx6DcIfqOIeudWCnt0OOY3R1fTENQ8hSKZkcegZ6HJgbcVUdSEkKQci1ilsFsrtxxfeKYkrLfHgVNRGVYL/ENQ4Bhymjd0Z6mlHD9VBbQY03aMcmW/ba2kLQNhuM2Y0mL8aRNpuSzfTiGa0v2DKf50e0zWsE7hJwSTCZtQLB/qcTQcIJHjsb52g9v46p5fUY3nHT4z9c8goSrRWdumcoRt0yG3bpjRa+1XnUy2JyO177blHY5tFRAoNdsA47BTdMeO4diWEbdzreWejak5JJEivN+flPH3xO2wWLL2ZUXqNrZkxRaCXgi4WBEzs4bkjFMKVaMSFcOQq48tEjKMblw2zAxy+DBu0YBSMUsTp3Q+5LPX3GY6Wy7E2ZrPx9O2DzslDHijkG25BG3jYYro/msqU8pjuRKlP2QiaSDZUj8UMcqSFhWLQJFodK5vQFsTDs87ZxJRhM2ZT9sUqxuzJ+1HqpJffTRRx999NFHH330CcJ99NHHvRdKUVNoObBQ5I65zgd+R7MVMAymCj5DQwn+YOsQv9s/z4HIYDUZN/jdbdOcun2U417ACz/0KhKZew45uJoPUwp8wGD1PIaampNhcCxbIWFLdo24KLTBLQhVzSs7ZkrmfI90TNbqeKkcUAlCMiW/FnapHKjaRv+bt8wB8MTdIzXPZwOFHRm4GnFgscjBpRKz+QoXbvn/7L13vG1XWe7/HWPW1Xc7vSU56SEJNUiQIhEJRVFAkSpcLOhF0Z+KIuq1XEWxItgvCIJIs9BDlw5SJCQhvZzedl911vH7Y8w59+p7rX32OTkH1vP5JGevNecaY8wxR33H8z5vGVMKFhr+2AdPUuiD3s1EpLRBvWAbI5OjR8ViI+g4xD5Z91luBVy+pbQpJGHbFIRpeKdzBEppQ6hrQSvYHGPmg4kwUhQsi6u2Wax4Qcfh3bBD+3bbsUqVMdJr2QU6Onb2sev7QVhthTrM7Hep+qxtCHKWsWFiTdkxuXAmT/gg8XMdQ1Jye43GE5weKjmzQ6XjdFB2z4y682aG+n7ys17Ik5/1wtNIQbDcikYjVI84NrXDC/V6Y6OhdocV5TsVBcek4UWbviZJ0a2MJoVW/Sm7JnlbK5Y5hqDimB1z2TOe/zKe8fyX8eoX/yD3fOvrHWnYbp6//8Q3N6wcnCI9DIoUREMe37E0qUUFWtnJD2KqrYAYkPQPD98O9zTClm4GwoQcPC5ipZXezsce8MIbHsWxQw+wzzB5dr6IO2JUjfRpZz910yYShM+/+jsd7K64FO3TMwMWvnwzAPUnPx4WTgEJUf9hjyR8wz/SCmMqp5F+eNElTOVMYkVGlBkEKbRzGABKser5FByTimv28MJGUd4+/dZw5iwIOcvg8i0FYqUyAmms1lS4AKZcC7Pt8FwrU2vikVIwd8Oj1lSs++RR/uJ/UXz6Yzn+kS9kxNZ2pEOOIVQv7249Sbw+1/VSQuloQEKrxkshEoUwkeVxoubhmJqQIIVACv2s7eQB0Oq9htAkj3HeRKQgCrVqnJmoBcdqTUGvHVL0I3uP33JyCcvh7nlNjNlRcjhR8zKbiGNK4jjGNNZIPI3AxxB0RM1KyYtpmPRuwtMo88uos6ApdV2bpux5ZAUsN31qfoRInC77voSuAqUh4A0psjoZBD8hTY2qou+2qUV3w5CSKdtksdlLvCnYBn5zTc3PkGKoA3nNjzCTtjOTM1kc0dk85coVHZN6Qr6ar/vsLDtIGaKUjpZlGzIL1Q597AhDkBHSX/6LGAK2lRytYpwgiBTHq17S3zUhJ1ZwxdYit5/sVQIG8MKI1QFKobUB3xejmFVP28O6EcWCy7cUOVXX/Twd1wwBcz/4BIzmmp03HUqMRoPtz3wizwMed1w7PBjAX4t0NIA5afCTxTJPdfN9yXyhUvzZ6jLvb9YQQHdL+JUX/hAAn777FPP1gOc+Yg/xkAVpFAU8/art/NPn7+pZA885Avcdb6Hynrcja6sUAaQkuOqhhK/8VZr7L6HqacGCvdN5WoF2Huun9gyw3AzZUrRZbgQEfQypUdS/DZ6KI/62tsrf11YpCYkhYCWOM6VhgSCIFafqIana6sFlj51lm60Fk5l8JSNv5W2Db5+sZ/beaqh47CWzXLilgJnEgBfJeL6zZLOzZFMPYu5bbDKTs5jLd65FXKvTBmsI7ew3lTPZWnBRSmEKwf3LHoeXWkznDE4s1NmVNymXXC6eLfDQPRUQgjCKqTUDLpkrcnTFy/qvtn8rCo5BMVv/Cx65Z5p7/vbNPPydf71Wh4aF9fHPUSrncEyZbX27CW7tLcu1+pODBZp0akhBEMdM5a1kD6aIY0XdC5mv9doZ+imgbyvbPe05/dTdEgxDsnumQBTFyDf8FXffdhv+Pff05NON3f/vH8m5w5SO19BOSEaslWXvTI5TVY8gigljMhtAWvZq02elGWAYAkOlDiFrJNkUUQzNONZE7FBxdLkFwM4pp0MhP2cZWbvbXnYI4piFpE6jOCZvS4JQKxMHkcIxJTmrv5JuEGmlfkvqd9ZM1gIKmC05Y5OD22GZku0Vl2orpOmHhIlTURQnayFLJntDva9VSb7tBNbTgZvUb0q5zdmSlp9o2icE7FsTcnCK1eTcZTpnZcTP+5Za7JvKU7RNvCjEEHDRTI5LthSQQnCy6hEDt55oZDbaRhCRtwwMoUmm//mJb3NscY1IvljzcKTgRM1ntRUSIjiy3GR72eHwFY9gz+2dNodhEABXX9vx3ULD75jL637EpXN5vnRwlYumXa7YVqCxQZtL+mbmChbLzYAwBifp85FSuKbM1qf91PLTPU87qVkIwZa8w1zO5njdY7k5PEpe1Qu57fgKj9gz03Pt+Y/eSxgrPnf3PKeqHltKztDnyTt6fC65vXN2rBR5xyDvGNx2fJVGsKZ2frDNEfOa7WUsY20MG6SfX/cjLp7Ncc+pKhV3mqmcRTqStG8fDDFRD55gggkmmGCCCSbYLEwIwhNMMMF5i7DNs/xT98xTcgxuuHgWU0qqXsjhlRa3n6z1EE9P1HwedtEs11wwg1DQbHqopkfQ9IgQFE4cOevPMgq+fbKO+5b/ZN9Lfnjs32Yk4yjiR1/1XN7zundxzwBCNcCxqk+k4KJply8fWu25fl/y7x0nRYdBeqkV4iQHNrGCIIqxpIFSmkysgKofcvOxKgL9LlL14XEx5Z6eevAgxKozZN+mQnQ+qB8pvnV8lf0zeXKWuWGiWD/D8bmC1Lh7LpdxXESxbtubRTzcLCw0gg6Fm+8WlBwDP4pZWYdEMgy7K7kHjRxsSkG+K9zcBKePirt55GCg7+HrZuBc6647SxZe6HIgOXzrB0OwYQ5UxR1NNWscbDbh+FyCEILZkkNzsXFaCn4qCWdtdBEx25PcXrK5Yku+43rZHk7Wee0/f4C5gnVGxq9Rm5h2QFJYUqsgHmlru3lbZqFiu5tJqszVCmLcMULEng76PdNG3+so4WHPRXzoX9/MsUMPAPDjhSLGmINJelC46xmP5cgHv7Dp5XtQcRYOPQ0pesaBjaLw8c/2fBfEESfm1wJZl0wbI/THU/x8yztZrgdI0RvKvhslx6Ts6MPrWCmOrDap+VHfNWE7Ke5M4Uy+wgtmcly+vb868Si4dc/eodfTshtRyK5n3cAD7/1k703JeOVFcOuJXhvBRjBXsBKn73Qw7B0Uq3Qu0vdUcgSRJtN0R6oJUEg0GWtcRLEaqLCaQkhgE/YM3Yrix7pU3STgxVByDcqOiW1ITtQ8dpZdHlhas+Ncta2sieAJicoxkzDuSfJ7Kjk0Z0okSsZa+VWptX9dy8CUa4TyfjXgmFolUykIBqhj1oKIE7W155jOWcwWbLwg6iA1t+PgYoPAjxFCaBK40HP5ZiglhiOk0U42NqWgaGuSWcXViolVL6LimkNtGVM5MyPw5kzJtqJDrLStoL0EFddM8pS0wgiBVnjvdoTIWWam8i6FwDTgyOra2mb1iU+h8l8fHaUKNKExXwA0EVkicYy1OcAxYP+MQaiUJtBFmpQmkTx0R4VbjvdG+drIm4ljxaFak0MrvTbIS+YK3DNf70l3+9OuR8ZRz7ja/lkqxZPdHB9vNYmARtti71AU8tqVJb7ut/jN8kwHqS9WilcvL/Blr9VDDO7G912yhWKpMpQc3I6Xfu+lvOebR7PP9sH7KbzixRQS5f2sFHGMdcs3sH7yecSPuwHvt1/LrrJL3jQpWiarfkDbdNqDuhfhWJKyIVlJiGM5y6AVRrj5Io3qysDfxsBKt1Qr2glgJm/xwBIsexFLTU1c/+/DVR61u4QlBXMFm/m6z5Rr8Jg9JUBgGAJbyh7l6G5MOZLH7qv0df6JYsVs3srIkjU/ohUpvnRghcu3BuQtyUorpOZFKAH3HFji0195AIDrr9zOqdp27l9oUPUV9x5d5Kq9U9x+qsHKSpPm8SVy26ezvHLmWlu44MPv4p4b/5xH0lkdZhSgnvQ9VIHq575GoVBACj0WBpEWw0h7kivACxV+GGcK9JYhtZK9HyOlJp2m41oQaoJevU//T+FHCiJF3pJZRL65okXe6V3LrOefYyR9/tJPf4pDv/brrLzjHf1vNgwu/vjHyF1ySUea7QTk7rwGuSoKAXMlh4YX0vAjGn5EpBRFx8IyBU0/7iAPuqakFcZ4YdxGYm1PrzOnuhdhybVgFTnboOiaVFshOcfAjiSqoJ2QGn5MI5m38rZERDofKQaXP1b6HbhCYJuizUFltDW0Uoow0s+Ykm/Tmqx7IZYh8IToIDnXB8ythqBHeGWjaBerAO3wpAm7gttPVmkOyScVOwlixS3H6xxa9viBS2Yz0uZSM+Brh5YTxzT43APL7JvOZQThhUbIAiGmhJxQPPn6/Xz5GweJophtFVc7yaw0uXLfNKfqHqVnPAmn2emokhL1hyG9p/DWd/YtP+j53osUXzqo17L3LbXwY8VDthUIorW2N5azmeMwX9dRHvK2wcmanxnnvVDnPVew8MOIQQGAVlshqtSmnpuo+29PokT0i0AAeh0ihWCpEXB4qcFU3qJgm1k6Jdfif3/fxTzj6h3MFDqjyAwaP4Iw4vBSC0PC1pKDmziYSgSmKbFNOdSut9wKmHbX8hIDatM2BJdvLTGTt3Eso+e+1PS4gWX9BBNMMMEEE0wwwQQDMCEITzDBBOct0jOVe+brHK967J/N8+i909hth/ynah7v/tYx7msjw5pSUm/4KHT4ZiUk11y+g49/+T7+6N9+AzhrkYbHwr5pF3LFDRkq2lGoLVM4eD/1vRcOve9kzafuhewqOxxZ7Q1DBL2EqaVGwCVzOWbzNjM5myjWhtOVVsCKF2FLg9tOaAPPVM5ksRFQDyLm8lamFJAeVnUrB3RDnkEux5niGvmhVuHoTv/exUaiYFoY6SCrHecL8bYZxLiW+I5QEj5Xcb60hc2GZUj80zSYnwkRxlGTKzvmGXF2+G6EKfXBqG3ITZ3IXVNSPQ0C+lCcY0OiyGTfBiNS8NXDVRxTcvX2QhY3e5iaTqrwWN1k5X901t/REEIfYnWToEZFrBSHVxtUvYgrt5S63pNiT8Vl37TDRoV05+sBM3lr4IHV2UKk1g6O9AG+VkRKZ4dcEhI+irVKpB/F9BHwOX/wYGxWNmGB/JY//s3s76e4BawNqnCZYZgRSXrIQ33mdJXc1Nn6OS0VsM1GM4iZzVvJ4X16PDqc9mEI7bimhCZBwODD4wcDh9/5EfY954aRD/Qj0872+LFiqGonpNcHO712Yy5v9zhstlNfgkidlsPZOWlEAKqf7SVzD0Wtv3Jois19zPFTy1syI+/0w0Z3Be469gfQxIhB/TIlG0VK/z2Maxyp4fk0Qz0eeGHMlrKLYxqaaCEAmggBl84WeiIR6dDkHZqOzOYGK0E6psALFYMeO2fp64YQ6zpkdb/JMI6pNvVEW3IMql6UlazimlhJmOow1jaS0Ndk0J4uukGEsRq6PxZoJf5L5wpItDr14dUmp2qdlNGVVogU9HWI6lYUbYYxwgu5ZLbIzrLi3oV6Bzl6vfFFK1iHSMvENrSTVne1L//671H67Cf6kme7EQOH//1TABSsziOgNfVpSdkWhDFZaHAJ1P1w8xyPh8y1d/dhwc781i+N9Hy2EPxWZYY7gxMc7KOa20LxsVaT3cYqLy1Wsu8/3GrwFb9Fa8RNRG0I2bYf3vhbv8gv/cFfUl5dpPizL4Qo7Pss6XeFz30S/u9voF7354AeO4qWxdXbLW4/sdpDJrMNgR9FhAHU0MrDsdJq1gJ404c/z/Med/VYZQYdqj4nJKCVL3eXHSxDcMGUy2zepBHERHGMKbVgR7qGmsmZfZVz2zGdMzGkoO5H2b7QTwiU6TN5YYwXqUzF0zYEQRTz5YOd9a/V5OGJ1+7k4IkqpiE4VAswrAbTOYuds3kMIdhdcbj76CqV7RV8dJu/YMbFjxSzeRPnb/4S3vv2nvfRDgWIxz2S6MvfIFcoJI4UWqW+0Ta2FGyZOVFo1XftsKGgZ3wNYzi24mUR+QbBMkSWhxDaqbHuNQkilUVA2VJ2aKfedbfodP2Vfr/nj/+IPX/8R9S+8T8c/Y3fIF5dxd6/n53/+A+4iWpwvzT6oXs2bAUR83WP+ZrHfN1n/2wBlF6rbik75BKCoRdEWR1lvw1jconqeyuMsQw956R154VxNl9BIkZiSIIkDcfU7XbHVA4AwxBU8nZSfp8oVkSxJgvnLEkQ6UgBeVuvJ7SdXvXYq1thnKStydqjohVEHF9ZO0fZWraxpKTmhayMqDIPqfr0+muTUeAOmA/TKAp7pnIcq3rr2mtSsvRyK+T9t5/iYTuLmbNtrLQK/4fvWCAGFuo+luwUlgljWI4V2Ba2Kbn1yAr3Hq9iSMGLnnolB1/1a+z57E0ddZAiXeEMmhvSXOTnv9rxvWmQKfc6puRkPeAbRzqVkg+veBxe8dg35VD7P3/JFb/7i0ProRuH/+XD5C2JZciedUSKdA0xm+8fnUyBduruQ5ItOSZ5y+BYtZWtLwu2gWNKlptB9t03j+rx8pItBS7tsv3smyuM/DxBssCMYvDDmJTrm7MNELqNlxxzYHs5uNxETMGWgpM8m+Ka7WVdnmQcTcscRbDSCLCtiLlir0q3ZUzUgyeYYIIJJphgggk2ExOC8AQTTHDeIiVaXjxX4NVPujgz0gGZgXRL0eEnr9vL+287nhkVvShmS87iA984ojejSrHDVOyfdchVlx+sxxmI1MBRq3vM5kwOvveTIx+0diM14D37j3+Wf/7rm/re024OqwcxrdDjwpkc9y+uf/h613yDh2wrUrCszHAX+jGWlBgSbMPgh6/cSt2PmMpZvPXrR6gHMQVLUg/0QcTeKZfjNY8gUlw0k2NnxUGgD+yOVX3m6z6P2Vs5I6HeUzTPEGOk7kcUEzW+bhWdVS/k5mMrXLG1iBwx0Of5RggVQw5UzzecS4SSFHnLOK/aw2ZhMVFOnitogtpG1BhNKccm56+HKdfi4AiklTPp7PDdBktKql7Epki7JdCh7MSZG7nOsWFRKcX8gAONdtR8rQb3X/ctA3D9vgq27CUJFywD0xDkLMnhlf7ORqeLSOkw6ynxM1bpAcJ443SsFC0/QgqBu45y7tmETFSEjw1RdR6EWClW/SDpF7DQ9JnLr4WUfMyeMt45Kjs/bqmkWFNkdEx9wNytkDRbsFhtBoSx6CQHn6UpfTNrej2Vy/MB+Q2updJhczP2ArNdKkoPJup+NHYEk3blypFwhptNq5vAUCxSfeRjKH3tS+se6Cvg8Ac/R29g3M3DfGP4/DZ3mu3hTA4lp/PqDrzghWP/ZueLfoijb3v/aeQ6GgaFHB4GPwnFPQwb2Xf2U0fsSXeAV6Eh9XwdxSpzdB62Vx9l6k3HuDu7CJRF2xh5rOjnnNwOKUTixDtoDymIVe9baoQBppQYCHKWwVTeQhETxYpTdd3PHFNiGQLBWmj0KddiS8HBNmTWX9rXjppMpxIC5OkPWK0wxjYgrS7X0sQUrcoHUkikICE8qiyUejdiBQ0/6nmnhhQ9atAqWZfGMVw0U+CB5QatIMqEDLYVHbYXHRBw87FV8paOuNUMY8JYcXTVQ+CxtegwnbMI+kgNHvrwF9n9Q4/D8NfGtHaCYPr3wZu+kl2fK9gZoTx9jpRwp6N/qYwE3ghD7m0L/X76GO9dlr76xZHvNRE8L1/kjwfYcltK8ZZ6lRcUythJW3tLbZXmGYxA8pkPvJtX/sHrsX7zVweSg9shgMJnPkF04ABcfHH2fRzDVdsqHK+1OtS5/Uj3kS1FiyhWVL2QimNS90K8SGGWZscu82WXP4S//+/D5Cw9vjxiVylT2JZCO+QUbIMoVhhSUHZNVpoBkdKkt4prQteyzBDaedcyJJaEUOn1a+f6rXMsm8qZpC2vFcZcvaPIVw6udrQglSiY1iOJNVeBkkO13qKWN9mWt5kpu5ys+Rxa9bEdi62m5PCqFgk5XvW5d0HvqV7y3reva1dPr7W+5+EY37gd6G+H7VZ/dUxJGMVDW74UZCRhL4x77FimsaamrhTUvLW6Sv8u+RGubaDaniL9K0qcL/rZLksPfxiX3fSRznpVbcqlrK9MnNbdwaUGDyzWexwgFuo+W4sOMwWbvL12BO1YBjunc4Ci2gqYr+r20AziLPpLmJCt2+cCKQSOqa9pAQpJLnEY8sIIP4opOGbH8wpgKm/jGDrSZM2LdPSYRLyiXdnZNkVf5x6lFIbQhPCFqs9syQYEcRxrxf6uFuR1kYMBlmo+45pqDQkfesOrOHbgFnZc9DBufPkfjpdAGxxT4K1TAEsa7Cnn8KKIw6utgaTkO+fX5obrdpcwupibx6t+5qi16kVcPJvrG8HS8gNuPbAEwLOfcDE798yw+ld/ycMTcvAwp4pBbTMGDt30FYx6zBwe20tOEilO/7JgG/zP0SpHVgfvB0xD8pVtV3B5V56DoJJ8p3ImwhAdSsUppICKayGFFtrprrMUhoCDyw1m8nYWSQB0Hy7Z2rEiZ0kOLTcpuToK5aD98KGlJn4Yc9nWcoeQUjuG9fN2Jd9yWxSWKI4xDAPHNBLnr/7rpqItmcnbfca23hzTMTWKI6K8tumld1lyQg6eYIIJJphgggkm2GxMCMITTDDBeQtL6oMVHRoRjMQIZMg1BbEg1oa5Z1y5jdtPrhmsAgRPf8RuPvftEyw3Ao6FsMfU289zdd/5+Bc+CQWc+oVf3xA5OIVAh+IbFZGC+xebA4063ffet9hkW8lBKIGUJIcQgigJeznlWjiGQRDH1BMDVfpvDDzQRoC5e6HJ3V15OqZWnTiTEcVzltGhBrGZqPkRpoSya/YNJ3f7yRrbig7bik6PIlBnGc8vcjBw7nauDeBcfJTamVDmPE+QHkw5pqRoG2ORhnaU3E0nB8PoJPLBB/ITjIqyaxJGKlMF2UxM5S0W6mfOIUWycaW7M4EYkc3Jw7CjZHPZljyHVzxWvYi7TjUouyb7KnaHStjFs8WMFDK7w+FkzedYdXyiawpDwFRuTXXKScK33vTt40gJlZzNQt1ntmDzmAtmGHW0bvoh81V/raxFm5JrnjPOIK5lsKPiAorFejDwwC4ldgghiFXM4dVWx6HNiZpH3jKIlCJvGpsmn/5gH9oINEmHWK8TU3KwY2rij0ITEhbrAbYpeuvv/Ofanhf4xuc/3fE56KOQdLZxBt0/1sUls4XsgPj+pcamhQ8ehJJjkLfOrAlwoQ8Bd/H//iXh6/+Q6Y+8b/CBvpQc+vCX+l+s1dj940/FCDvT9rft5Nhb/2Pksq1HRM2/793k//bP2Nf1vbdjN8f/6d9GyuMcmTI2BeapEwOvPdjPOUqY4XGKaEqRhTxfz29vWLpRpIghIwcP69PdpNJxkDoaW4Zc3yaitN1gTUVS4QVrvUGTRAc/tUJlJMF2+4MlJXclxOXH7JthuakVGmtewFxBq7srpZUGa36IJbWCaMEyMUbwjjSkGI1FvQ6UAkNKclKTYAUiCaGuMsVD0DZFU0qu2lbi/sVGz55iJmex4oU9780yRIdNZnclx0zOypZXXhSTNw1WWyFBGHPFliKGlJkq5jXby5qwLAVeFHH3qRqR0suSEzWPEzWPLUWbimtm/S4l7dQ//mVEvUb+WTditBrZO42lxP7IJ5neuZNiqFWbTSlwjEQpUydCztIk7YItiIGcrRdMlgGxGtYmzjDqul2N2octIXh6rsCfV5e7+akZFPCpVoMbcwXuDQJORGc+hERUq+PccetYY5H/J3+I+Y//1KFKHcaKubzDloLDHaeq2TUpBHUvzOyWqdP0TN4ijmP+9++9nr/+7VeOnPd7PvUFvnm0yr0LTcJYUXJ6nSVzlsF84gDghQFSaCXMZhBjm5K5gpWRzVthRBCpZLyK1nVoKtgGrikxDZEpjNf8kMVGyJ1f+jfu/Nwfs/XKPKYjaK1EHP2Wx45n/Su5XJETqx4f/tYJXnFDgflmwJduO8Cdh2tYO7cAWnX+opkcVS/MxCB+5DdfDIw3V9TrdSqlwkj2myiO1x3Cgkhl5FfX0mRgS2o18yDWBFnXksRKZaqt3Ti24jFbtCjn1siE6b7n8FIDQwhmijauZfQ4Y6SfwijmVNUjCGPyjqGd54aM07LN8SQdX/qpox+veWwpOjiW0TNupDRk1zTI2REtP86cdJp+jAAsUxCEeqyOYq0s3D7ntatWezX9txfEVPIWZqJMnd7uOiaObVDJxYndVNEKoowcDHq+ap/npNDnS2G8pnS62gqJlJ43lxshhoCd07mEKAxHl/oTa4N4dBv+Xf/9cd73H69g8VqLeCuwFe7gEJ/91/cz+42AH/tfb2fPFY9aN50UriU65v1hEELgmiYXTReoBwFHVlqd7VjB1dsKOhJP3GkDMKXAMSUPLHXaeu5daPZEGzLDkLd/6FYA9m4rkd9SZqEZ8oMff7cux3rlZI2YCxDs2MniP78PP1W9VXoOrXohF0znAU3g/dS9yz1tdTpnZhFLLCk4sqLL/9a/+Sg/8XNP6chzECRQefoTaP3o8+FlveNuxbU6iMOBJTGl6BjrtxZsdpRc4iQ96FUf198pvEjh1QMkWiij7kc9bcs2BQeWmhxcajKdt5gt2Oyu5Ck46+8F9TphTan8xEoLKYW2ufohq37IctPvcIzYVXapuFai/q3fTxpFsxtbSzZWYsfzw5jlpG1YplZgTmvFSPrgBBNMMMEEE0wwwQSbiwlBeIIJJjhvIQSY61gNTKnVQnKWwa9/336+eWSFz9y/yPGqNmpeu3+OU4t1vn1klVPhuaMWl6IfEXjrX/3RGTXKD6rSexaa7J/Nce8QkvAlszm2Fi2+faLKQ7aXew6sBGthiqwNskm8UHFoxWNLwVr/5g1ioRFkxul2lYZ+mCtYhLEaS70rbxm0hhDZTtQ8lps+l28p9RiEBJrwct6Rg7/DcK5xicqOOVDx6LsJXhhnh/J5azSi8Naic0YIwqO0kn6haicYH5Yh+jpcbAbWmwNOG+eYgnC3uv0gXL5FH7Rcs72YHXYo+qlZth1wR/r6sc5ojmNhKtcZjrHapjoVx1qpCPS/t59Y5eK5IqaUA4m+SilWmwGLXf1woebTCiLmSg5yBCZUraXVywuOOVAR5nSRqhpvNSTHV1odB5pKKfw4ZqHhU/cj9s8UqAVhX0WX+5e06s+OsrNp5Eg/jMmZMiHdnH0oWItc0XbQ1n5Aayax370+B+znUBccGWfSUe5M4f7bb+n4fLPv8yh7tD52JmEn5DeV/W801bRRoRR9n3HFC9iS1+GcLSk4MxrrazClPON1vbvsctd8vad+Vl/5G6y+8jcovPvtzL75Ddn3UWWaI+/qjWqTlnLHC5+BNX+q53sF2CeOsu/GR7Pwoy+k+rJXZNeV0nYCQZez1pCXtvfGR6+pmbZ9rwDn2GH23fhoTv38q2k8/YcHJ0L/93y+4lx+EkOszxZQYzxAFCuMxMEkiBS5hDjqhzFmSnRIQiELqe8D/b5Fkpfnxx0OX+2hkwfleTqouHq9Ea6zbJOSHrtBe5h2SPuK/re9WFJo0mHeMrOQ9qkjUjvR5US1hWNKVrwQhei7twlirUC6bcTo1mrIJCeEXvsHkVZ1tJPw76kSbjvSkPWuJYnjGK/9BrH2t21qNUlTSmxDkC41BTA7ZL9mdPX5wytNDq902suKtsHuskPFTcJstxXBi2LCSKtQmkL0EAqLtjEwVDkA0mHxPz/d8/W128rJe9flCyNN/O1nQ0rbQ97W9q/VVoRAcMlcARQse8HwMmwiDAHuv7997N8pYFYaHI/7d4imUnzD97gxV+B4HGo78hleR5U/PLoDC+g35f7PVwdeVwqu3Fpi1QtYbPqstnqf1TX1XsGLFC95yYtZuv9W3vFP/7hu3qeWqtw275EzJVdtK9AMYmZzVsYRXW2FlF0rIweniNvUK3O2HOpUa0qBIQQxqmcNO+WaLLfCHmX0arXGH//Oo7j0xike8qxZTDchfcaKnQ8tEDR/llv+ZYX/9ftfZLUZ4tomfqy46MId1HI1Ttb1PqgRxNy32OSiGZdT9YC8KaksDnaCGYgnfy/2127GC3rJv64paLWNq2Gso+CFcYxl9Npvu8mirUCTUzURVqeT7vW0yvDgBrtQCyjnLNpnbj+MiWKIUBxf8chZUivpWnpfnHYBpRRLdT8jPVdbEZWcwhoyzXaPszsqOfbUPA4t954V3HJ8lfuX6lx/wVyHimmahGUabK+4nFpp0Qji7LwgJRemzjauJQn89feZq60wqQuN9q4uhMC2DGYsA5TCC1s9ZO9moG2JQRRjSv1Ou99V3YuJIp1uEMPhpeZQcY8UsVI982833v8XP8+Xdnya+OFWjzdWZMHJ6yz+9n9eyg1ffC43vOy31s1zXGERPYTodc+pJS3AkGu3qybzb9m1sKRgNbGVGVJw28k6R/so8yqgYEku3l0mUopvHF7la984yOMfsoMLd1WwpotUvYhLPzoaObgDUvKRf/oEp+oB8u5FHr6rxPaSnY0ljSDi2yermFJgG7p/tePJF08TJlGobEOy1Az5woGV7Ppb/+ajPO8Xn4njtwYK9bTvTdz3vIOpK66m+tgndYwRUdeg1wxiSo5BFJM5JG0vudn5T4wmxrqmdkJK9zNS0DFOxpCtT7YVbSKl1bRNQ6BdgLST0GIjoOFHLDZ8XEOyf0uJstt5ptb+HAodYaG9f6TrKT9WGYk6/f7SuWK2Hu1el7p9Ijv5YUwhyV8IQRj75CzJtrK71l9h3WghE0wwwQQTTDDBBBNsDBOC8AQTTPAdDSnANrSKrW1Krts3zYoXcvd8nYftLHN01eM2ASdXWvzIm38f6E/K3Sy0b3RHQfd9m1muF//cU/j8q/6E+GHX4UdxX0NON+5d6K8kLICH7yoxl7e04dG1UHGvCdNtM079yzePcf3eCm5iZDCl4Objtb7KA6CNUNduL7KtZNMYM/wu6MOVVB1nFNJgK4wh1MYM15I9BOCircOmp8aYmbxFtRV0hA0rOQaGFFRbIa5laHIKDHzGdniR4ubjq1w8k6eSGW50iM+e8L3nIUxJm5Grs2UHYXxOKWr2xTlGzAnjc77GziqaQazDDpqSomOwUA8Gv7JNepdmFylw2ME2aHLwcp/wcxP0h5uEKY5ilYU2zdkmcdx7yLjZ+Z5JVcdR5vULp/PDb1Ra4U1lf7ddSj8njKmMACWg7ofZfKiUourH3Hq8NlK5C0l463YCasEy2FvJM5sLyVkGhpAdZE0AW549Z6x75xvcm4TAfMTuKXZUch3XY6U4tdqiMeCwse5F1L0GliEoOiaVvNWXaOwFEacSxzPXkhhn+BlNQ7K17HDffB1QmEJyvN7qWKecqLfWHV+OrXpM5UxaYe+axBDJQX7ynxQ65Goakru9FrwwZtXTymAPFkF4FHS3xU6crUn9HPMIGBPqNHciNz7/Zbzzr/8o+/zP9VUeYs1RGJNUmR5cbgZO1gM+c9/y0HtyK4vs+vZXcRo1AifH0csfTm1u+1j5XD6XZ0fZ7vhuoR4kY6X4jnH8M6XBlVvLHFltsNxnv5N76UtZfvFL1nXqUcDONnLwoD2xAmbf83bu9B3uesqPddwTNj1uPrh2yP/Mh+7gkh2lnrxScvB6h/5b3vBaDuzcCQ+7bmC5HyxSbRDFHF9uYUi9V9xWdrFO81R9KEk+6bOW1CqHZyyjARhBgBbHkOQLRkZk0gqMa/0szTaKdXjxVOUsVmskSq1sptdXriUJgrhDsTBNJWfJbO+arhs1eViTaoXQTkw6Ua1cHmPimHm9flNJVKzkb6UgRpEzjUyJt/1aSupqBiGOYQ4lIveDUopmGJIz144EgijmX24+xg9dsZXpJAx2qBRLzTBTHg/CmPuX60k497V6uG9Rr7Wmc9b6dooRO8mwVBRrxLlIDSZAu5aec01DP18/x+sUrUBhGXC81szGrpwlMWR/wnMKOcQpbDpvEsdQ9UIMKSg5KrN7xCpmsenjR4qlZsBs3mKl1ZvP7oqLUlqJcxQbUufTdTWMPu3ETurKkLC17KKUwgs9vDDGFno9O5eT2FJyZFUTgmxDUEyc1hR6HPjW8ZoeF5TqIEWlRPmtRSdTS+7XBlK6Yqy0899GRpX1/POayYbRPEsjtTFEhX0QRBRhGwJTCoKol4QaxVCwLEqOxZ2nqpn6LOj3kLPXFH6rrZC//Zu/5Q9f+zr279lKFPS2r8suv5xv3nI7AHsiyam6j0Ar7i627SPm8r3k4HZIMTialWPKTBX3wpkcSgmOrDazvWTRNga27T/7i+/h0hunMJ3OQV9IgekKTFfy8JdM85bfuZ63vfseQLDUDIgUPHxXmY/dtUgM7CzZSCmwDMmFM7mM3DZ2S2jpfaMhdR1FsdLktki3XUN0Cp+n42EYxx3Xcrbsmks00rGs4hqstqKEpKf7Ecnfjik1+bctn6JjEMeqYzwKuhirzSCmuaKdOcquiWsbmVNrt60jHac6yLUMn66v2FZmJm9zx8lqT3pbiw62KYekIZgtOdQWmnRz/JtBjG2M59IaxDFGDFK2q+f3PkMlZ+FHHt2m1PQ9pHtHrbTfRewVa84eo7ajMFJD54zbPv9BTQ42GByqQQgiS/FJ3sXl9z6LXfuvGpieQL9bpWIUYqgTm3Z2Utx+stYxroAm2M/mrYyo3fAjGkFMoWCRV/q3i82w40zJNkRHOodWPK7dUaTuRzz54ml+4OJpfKXb87eO16h6EY9535sGlm9QmWUccyqZo2Pga0e0J/qlc/nkbMpACq3U65id9oCrt+lILmGyDgyiqMP5KYWXL+L4rZFVjcu/92rkZ79BrODwSou5vEUYKZRSHbakqhcxV7AygvDxWottRReSNWEUQ90POFHz2FPJI4UgVrCt4FJxTZpBzImalz1TPYiGihtYhsicOI6selwyV+CSrSUMIfrurW1TdhDM/VCf2+WFwVVby9l9+txVIlAdDuwp0t+3p5WqGEex4vhKi61lh5xtdvRRyxjcDSaYYIIJJphgggkmOD1MCMITTDDBdzykAGmAiLUX/5Mv3cKTL92SXb9+7xSfuuXLXHPsLuDMHOylG9w0VNB6xq1RDQ+nUxYJPP51v4oCDrzmD7n0e5+EEIJIqZ6QUO24Z6HJvmmXI8stQgVlx+D6fVN4YYQfxfjNGAip+SEzeZtp1yKM14ygMTo02PfsLSchwlSmwvPIXUW8SPGlAyuZwbPoSJ54ofbq9sJ4Q+RgSIwhCRFqtmCx3Awp2gZ+GA8ltLTCmGJbCCbHFDhJmMh2LDZ0iL2ZvEUYxfpwo804062GMSruWWww5Zrsm8qvQ245D9BW/D0z+Q1Yezbn+e8/1diUdM4VdIdrO5fwYBv0WqEeb0qOQcOPNiNS7UCcangcXR08dnYjiFTfkHET9CJVWk6HXUvqg+mFIQeVm4WVVkg+IQg0gvi0Fd+6cfmWEnIdpsuZUbiGsmORMw0Or7YQQj9f94HQINT8iIJlsOJpkvCuss0lc0XCSOGaJkppYkk3Rgtuufn4+uFlti03CGLFFdtKTOVs6q1wIDm4HUGkWGoExEoxlbc1QVYIrdobxqy0HSSJs0Q6sAzJbNHm7lO1vuP/qHPCcjPEMXX7jmJFmBDwI6VDpY86aFqGVgWbzVvUvBDvTA625zO+y6ulUOiUjvyq7/FAFHCJsLHHXDAs/NTPY8r+oVc3C+WTR3jUe/+OnXf8D0oaiChEGQYiVpy68HK++uyfZmHvJSOl1e/xIqU4sDQ4MstIOFfb1IDXWfcjwlFk1mq1geTg7mwUcP373tRDEO5Wc+/nuFV4+5sGkoP75bP31T/PwZu+Mvi+EZqxTBwwRp1vR4FAkx4yMosfYpn28B8NgQKiUmVofjN5HUUnj1ZBDcK4r41CJP+7cms5IwG233Oi1tJOKYYk7CLEGUJgm4KZnE3JMTm03KQeRBhCruscZltGRxhlpRQPzPfuAV1TEiRl6k6z/fMwx79UcRA0kctN1B5dS2YqxN2KgRKZKRX3gxS9Ko39sG5koT5tUgHNMMIxDGp+QDMUKCUyksexWotP3LPAXN7m2jZSfaTgoukiADU/4ECiFjlXsFioB32JNRvFULLnOvXihUorPwZrN7qW7ONQK3DMhPCuYqSUbMm7xDGcrPtDo9FYhqDimszXA2xDt+y8Y4AiIep3rsX0fsInb5sopTiyuhaGfrZg9R2DdldcDGGAgAumCgRxzMHlxsBoH4ZISHBC8CNP/l5uu+V/Oq7/f6/+bX7y51+VfXaMNSXrKIbDiw1dfkMkkdhUNj5WHItThodKyOHtZTCl4OCK15cYlEI7eCYf+t7W9uWL/hf8y1sHptX/2QULQ+YWA9hhaFLzhYaJfxbCMKhcbv2bupHsx1JlbC+IMxtyh0J5DJfPlVjxA07WPIIoJogV83U/Cwm/2gr48gOLXLOzwp1Hl7jvVJ3HXDSH2RavvX3Mni04fYtUcQ0iBSXbwDZlR5+QAiqupR0KBZyodRIEpRDYpmR3KZc8nm7pF03r9aBZgrsW6n0dTX7hJZfy0BfM9pCDu2Hakoe+YJr/eNsf88Tn/DIV12SlFeKFMY/YXaLqRTyw1EQIkdgTYi6cdoemuR5sQ7btIdfKLlhT2Wx/IoF2JoiSPuL1GbNdS2IbEssUlHMWlhkyX/OJlSbs2obuk9MFG9uUrDQCHEsyX/WZLlhd9gRFwTFo+DIjNKfdQ0pYaWpV8JwlOxwuAPbN5rK0RiUHg1Zg3VKwWCk5HFxuEivYWXbJWwY7y/3re424q1gesnf1I0VujAg9q42AVbQt0EicWx1TE7qlEMikvY4SBdAx19SWLannZcsU2TmGUrp8riUJwl5SfzssQw50ojENwYc/8svED+1VDu5BQhJ+118/i197/V1aJ1apTNHej7QCtG1qZ+0HlpsoYFcphyFA9InCYEjB7V1OB+1YaATM5DvV9NO/pYCybfD0y2ZpRTEGOu/7FpvU/YgDyzpGyjeP1rh0S462qRkvjLlsLt+x1jhdCHTEgrvm9Xj0hAunsA3Jf923lKlzVxyTXRWng8zuBxEHTtYomQbVMKZiSVYCRXl5fqy8AVS1yrx0+ephTVg2peDRe8pYco0knK7dU5ys+Zys+eyechFKULAN7k0csJY9n2nH1jYowDFMHAPm8jY3H1/tyHsQHFN2nFHdu1Bn/1wRafT/pRCC6YJNc1nbuKN+C2V0nwgjTQ52zNSm1HlP3tYRKEwJedvETuYpUwp2TOUwpOgYZ6RY3+lnggkmmGCCCSaYYIKNY0IQnmCCCb5rYEq9wYzalG1jBTumclz7l7+5qXkNsgmlZpj2fa7q+nfUPXC7F/w46Hf/BX/wGxz4qVfCs58/UnoHllrsKNmseiGPu2Aq83huR82PqPlNDtHk4tkCVgSuJZivR9lhUjdipYlfj9lX4Y6TDZpBxPV7pzZMrk0PbrwwZqnN+LdQ12TeVKliLiEMDyTgJkYQAThGLzm4vfxngqi53ApZOb7KldtK48VL/Y7DZjz75hwGPVgkt36YGM7WR9WLmM5ZPQfXril7wr1tFNaYL2Ly3kZDzupVoQ1iNTSE6WajkRzizRUsFFDzok1TFY5ilakCnW0opQ+DD6/qkInHqx4P3VHkUbunuPVElS0Fm11lF1MKDiw3ef/ta2He/6tLcfOima0jEZm18pVBvc+64UwjPbT+wv2LXLdniro33jtcaYasNLUKnGNqIlPPIdpZ6tdCCLYUXRzD4LP3jX5o1Q+b0ZaDSHUQBoq2gWsZ+FG8rlLoIAxTOZpgtNXM5q9VTj+9qbmtLM+fzFL7+cVT/P3MVvYYJu4IsqAKTZKJnvtiwjAmbxsYQh+6S6EPWv1Q9d2bDEywD2YP3s2Nf/kqTK+JVApI2nek2/OOu7/FU//8l/nky3+HY5c/fN1szlhzPge7SRgPdujMWwYLI6gl737+04DRHi/dE1/60Xd3kIRHGUNm3/4PI+Swlg8A8/MwN7feXQOREjrbCaBK6TgAG3UykUIwW1gLFWxbnUr2O/7mrzn2c/97rDSPvOdjA68pxtvzmkIQRAop9LquXf3wRC3gs/cvEynYXXG4ensBP1Kcqvncu9CkHsR8z54K1++dYveUi2sYIzkGdK+zjwwi44vNGSc7SbqdFh5rA+7doxKEvTAe6CxhGWBI2UPKDyKtBLeCz1IzoBnEWIZke8nhsw8s4oeKlVbESqvJw3aWexNGt+OKayKFYLkZjvx0o7Rw0xCn7RzXvXfoDiuewgsVEoVtrRH+9kzl2VJwkEKT0+9eqHeWT2i15ChWTOXMjGTmNQavd2ZyFidqHrHyeq7VvYiCbTCdt/GCKAvZXrbX+nQY6/Fh/2yB2092krgqrpkpA/7fV7yIb37+k33L8Oev/T3+/LW/x3tv+jxXXvNQ/FjvBRxTEznTNuwFEXecGhxRpJv2aptyKDkYxmv9ha1bqTO6rTNUik82G3hDcjGBp+UKWg3ePPNHYT/xqt9n9qk3Er3zLWP9TuzYCeg6TecJxxAIITpCvQMJadcizKlM3RnouC/wQr58YIGZnMVFs8WetUh7HfebM6dzJo0gxhSx3rv5UdbepNACDKl9ZTpnsaVgs9oKcEyDqZxF0TII4k7VTFgjCkcKrtxa4lvHVujyoeCiJ5bWJQevJQgf+uw/8IMveBWuKTFzJqHSjiyrrZAtBZuvH1nNhCHuX2rxBDZgT0/XqQN+pNBzgSE0ITiIFEbCsk/7yNaSjVKwmpCYQY+nO6bcjoSthMgtWHNCmcuZWolXCKYK2glo94xWSFVJCYIoptYKWW6EmmhupM4fAoXKlIvb1TzbsdoMkrTXSIzD+q9SilorYL6mnSWmXZv8nIkXRZhSUrCNzGmmu+LWZkpBJW9R98KB8/u4M0JaZ2vPGGfvIFQRy82A2ZzdlyxrSZgp2lrRVOgaqDb1M0pBh/NJirTfWakCeBh3tGnHFAP3ZQK4Z77G4tUjkIOzHwnmH2F1jL2p9nre0kTkekIOT0mhd3o1bENw8Uyxo0+aUoBQ6zquDXKUipV2FCNZ+sdA4EdsK9pUXJNL5/Ist0K2FW1yluyryt86DdvQ037nJ/nwb/9D1j/3d0W9/PLBFXaUXWbzNnW/hWkIrttT6rGB3HWsymfv1HaVvG1w2fYSMqf72bir89yLn83nfv9fss9hrPjvw6s8dt+a850iUZVOEo8VzOYtDi/3ik4cW/UwpwRlu9P5L4zh6u1ljldbnKr7TLkmQaz3we2vyzV7630qZ2EZcmjfciyDvC3Xdar3I5X1N1MKLKmy6Jq5tvVVzpLMFC10jA1dB93kYIHugxNMMMEEE0wwwQQTnDlMCMITTDDBeQWl1sTMNuJRmqoJt6e3/JWvbl4B6R/2VnT92+/aoM/DsBlnwulGfN8/vp4Dz37+SL+xpDYG7ypa6xKbFGSHKmVHq050h17rl/7TL5+lGcScOg2FyKJtDgwJ2X5mlN6TqlT2QGjjcsOPWB0QOu9MQwG3naiyq+wyk7PHDiV6rmEj5PYJ+uNB4haed1hqBj19vDv04ulg/NcgetSAJuiFbciR1F3OBtK2M5XTW6jNIgk/mAgjxTXbywSx4ppt5WxuecTOtsMLBXsrOX7hMXtZaAZ87O75LJSjKeGpl25hT9kdeV7aP1ug6oXcv7QBNfdNmjj8UB+6p2ugdRX42hDFaiD57WgbAUll/+uEQquoVHI2rm303jAGGsG50Te6oZ3EdB0ZUlB2zCz88KjqwsYoMeQ3CWdrTbWZJNH4QVgIGkJmymwbxT9+4pv86EN3Zp+rSvHShZP8SL7Aiwsl5to2au2H1+10u0M3fQUjiplyzSwUfHYqnSBvG1hSrFvWktPbBx9WUlz9xldjtIaPUZbvccPf/y7/8Zv/QH1229B7T9UC9lScTVWNBT0PbSnYI5HBDSGo+j7tpI92tKcgBBRMs4fUMwixUtSS8OU1Lxr4nAqYK9jZp377LkMIDL+XRLceHvO+NxE//yeyz/ce60y7XTWRWo29z7lhJPXgbuz+2R/n8Hs+0feaoJPs211/SqmMYOGYklYQUQ1CVlvhuuqrUwWLnN3fhCuloJwfrBjsPOpRQ9PuKCMQWcPVh80xjTC2KTPyWaxUhx3gVD3IPh9e8Ti80v/dB7GOcnTZXJFRVt1eEGFKkSlJDyK2tAJN4JICEGsUbR0tAO2cK1RPCPKxsJGxf8TfdKtLpsqjoMeHfoHZhVDkLZNDK3rNYkqBRLGzpN/7seqa/WXQqzbE+uPrRjCItHa6CCOddhYJpM2WaBpaBTJVgdb5axVgx5SUXRMviPAihWNo9cmTtdFtVLMFe2jUkzTiDWiy71zeIm93jr+NgwdRz/0h8Dx2ApHtcOjN/461bQtRrFhphfzuTz+XW//7c+uW5zk3fi8f+MQX2X/lNUCynpBta2LDYGvB5uSIdrh+TaTiGvzEw3cRKMXffunQWPYKpRTeZVfg3Hn7SPcHSvH2RnVo+S4yLfaZmnD95e95Kv5/ju4cshE88wUvY961mJ6ZhcWFkX9n/cL/h22skbXT/t1NDk6hFEy5NkXb4M75etc1TcytuBYrXkTZD5CrsKXkdsyHKbH0ZFWT0gRQyWnyf+oIUsxbmXNn2u8v36rVxFdbIaYhsjlsKqf7y5SbJ45h0FYnHZOlkFy2pcRdCzX9rmYK/OzP3Ejl+0ZXwTcdyUVPrFD1IqpeRNE2aAZr0aPKrtEzb8WmhQzHdDh+/d8B0PRjbGNwJIBIgYoVZdeg5GqSsgAcS5J3dN8uuCbVZkDNi3rIwST3bqs4hMn4sKXk9F2TCSFoeiFeFFNtBgSxHrfSckSRomBL6l0Ev1aXo1KKpUZIzQvZNZ3P1Er7QSlFK4g43jZnS6nnVCEEZUf3Ny9UnFz1cC0D1zYoulbf9Awp2TmV4+Bik7ytx+pUnTctb86SSRSutVLZyZiMUpmCOmilUu38QqLKLYlVTNUPOVHTiuc1P8JNVHalEOydyrFrKqfT63gfglLOJu+YHFwYHvlDCp2vYwosKWj5Wk1aSpGRs7sx32jx5X/8VeILhybdg8iGkzd/jMuufzpLbevp1LldCnigy94SxQo/jrGlJpqbEm49sbJu0CBTkjmvjIp2gYaibVD3I5qBrvN+SsqxbWP4453/CGDryUO86BVP5W1v/AhzRYf7FzvfUaSgEUTUvJDH7CtTso2evhvFMV+6bzH73PAjluo+u90NUidWVnq+CiLFsarPjqKV9eWaH2XK40XHHLpWOLTcYv+sgWt0DqpxDHun8mwraKXuWGkBghUvwDYkVT+k2up05A5jxcVzxZEeRTsrrL8uawYxbqKgTvJMYRR3vOtmEFNrRZRy/ZXspdDk4Imf+AQTTDDBBBNMMMGZxYQgPMEEE5w30MahzuMgQ2hDxUY3j0LAvT/y7E0pX0e6I37Xff10jozbvW3HRUYSvvHRxMDzbYdP/ORvcfIhj8IU+kDVSgzVW/IWn77lGKWcyZdWPBxD8nNPughjSIjMFKteBF6EZQjKttGh6ltyTJpBRBgr9lRcipZF0YK5vIMXRRyveiOrgRUTlYJBBJ5BmK9rAmHdizJ1CThzysAbwZHVFouNgEvnCmc0rPKZxoNp79k326l7s1j3qbbGayvnEid3UJjRcwHnml1vvh5Qds1M0TJScOuJVUqOwd5KnlFLbAg41fCIEkUcQwqWxwyru9QM+qoaT6AxlTNpBTHVB8kpYxiWmyFzBes7giAMWtVXJkSIYYgVTLsWz7tmBzfdPc9d8w0u21Jg31RuLIJlFEPeMrlwOj8+SXiTBl+lxBlRbh61Hhp+TMNvsWvK7VF6HBVhHHNgIyTrs4woVjSDCMeUeJEib0nylkmotLrwoDobl4B2OniwVLxPB5FiXYe7za5BKURGOjgdvPu/7+XHrtufffZQvLNR452NGhebFt/v5PjRfJGSXNvkKWDxeS+l9hMvB/RzmwNCogLZHsAxdchmx9SH/Sr5fxRrkqIfRlhSdIS33v35mxDBaHOzDEOu/PR/8tXn/MzQ+041Ak1U3GSCcDOIieJgKPF4+ndeRenLn8naQwwc/j9/inrM44amfeWWIuu1Ii+KWGj4RLEayYmyfT9lSdFB0BYCTClpBBGjr8g68ZBtBQ6veHztSC9ZLPM5qNXY95wbdJ4byEPUB4+7MYpvn9J5C0EW7jnNS6FVxC6YzmMaFkGsODBI2bYLtrHxvvfAo65b9560BcXA4Q8MJxmOShwH3Qf3VnJEKk7qoPM5Ronk8bUjK9yz0GC+EVB2TLYWnHV/U/MiloYounaWIe2anWXR5KnBin85S+IlDkcpuVhXTTvRWG3IViXGsA6FsQ7rnBIz2gm2/fJuBlFGDrYNQdk1MyJ1GCnubiNADVLiFggumslzYKnJVM7MSquUVq+P1ZoTq0ITrFXyS6Xi5Pu1mkqf1AujTFluM6HoVnkGmfDU9PjZm6NpaCLgnkqO49UWThSz6kVjhbovu0YH4Sf9pUKvc7qVjlPy5a5krm3Mz6N+oHesNnyPC174dGLg4Ns/BHNzI5GDU/zg91/PrUdXyVsGS82A+xYb7Cw5FByTehBnJPN+GOXdSCFo+BELCSlpnGWWaxlMveO9NB9x1br3tuKYN9ZWuHsI0VMCEsV1xw/pL84wORjAMQ0+fMc8j3rJL3Lpn//WaD+amsZ68lORCWkvbRsp2dALVbbusw2BYYi2lyG5cmuBzz2wTNWPWW4GLDdDLpx2yVsGR6s+NT+mZAmuFoLFVsi9Cw2+/5I57jpV5723HOPKLQV2lh1qftjjnFv3QxabAfcuNpnJWSw2Ak7VQ67bXWK+5pP6Cgj0u2+GijtOVblsroRSYEgyVXCFYrEZMN/wkcCFM3ksaXDpbCnL7/5D3+bqoIzRn0vaF25lbT2hVXbXlFMbfsTFczmWmiFP3D/LyarPibf+Bzte8IyxhAsKj13ri1IKLBioni2FYKrgYEjBXNteLx0rhdCOPeV85/fZfULgGBLLkJTzw+d/2zbwW2uKnd0OMVGsMgcIkvG5XTW8G0EEYRQjpEDFes9pSm0r8MII25CcrHp0+9q3AoVraucoL4yzPZ5pSKpelBBvO6Edp/S81AoihCBTG5UCXFPQCtf6Qt6WxIHK0jZk93OojPSr0xDUvAA3byMkHF5ZU2et+1FHtMKlZsC2iovNoPoWbC1ZnKz2H29sQ+CHKuuvAj3/u4YgaJMTbn/XjTCgHsQsHr0DxiQIA3zl0x9k7yNv7LtimG94PWvzSME9C3VmchZ7p/Icqzb7bk0cU5K3JRJBK9Tk7OVGwGze6ogaNAg5S/a1c8ZKO3H2IwgffsdHsvX5OBCAAbzw55/Ox9/6yZ7nKbsmJ2s+hoBbjtd5xM5izzp2oeqz0jXuPbDQ4IGFBs8du0QgXIfvvaDC0RWPVhSz0AjwQsUDi02mXJO81ekE2whipIgo2CZSantjGqUhjONsLLt3oc50zmJb0cESEieJytHqWPcJDCGYyTl4ccTKatjRV/fPFdlZyWHI0dZaRcek2gqxDUnB0UTvKFaYUmjCeVuFK6Uyx4NmEFNwJGFb1C5DQq7Na8Q2dD9Ph6wJMXiCCSaYYIIJJpjg7GBCEJ5gggnOG0Sq1+ChPfP1htIQ58Zm8sEqQnYos8FypL+XgO17PO1vfhOA6pOfwZ884gUsNUNsUxu8gMyQ5kUxf/Hxe3ja1du4du9UxwH7IASRalN2iLEMwY6SiykEMQrZprgkgJxpcsGUQSuKOLzSxI8UtiGyg9LU87/oGCzUgw7lunGx1AiYK9h4dZ9YaZWrYV7cDwaaYcTNx1e5dK6ALY1ziqx67kP0GKa1gsqY7eUcqnQ/jJnNW2MpM54tnFul0WgFEZYkO0ARwM5yTodm7DPP9IWAY9Xx1e26sfnh379zUPNCpnIWXigyg/i5hKVGQNkxiNEklO8mxAp+4OI5Hn9hRN40NqS+asje8M+j4Dutx6y2go5D43EgEMyfY+uTfpgraCJBehDYCGIagS63FNoZwJSixznrO+1dPxg4I3W4CYkWCgXe882jvPG3XslnPvCejmv3hAHOIx7DDX//ThYH/D4ryghl8cIYL4wZNGVbhuCx+8psKbocWW1x16kGU//2DqTXG961H4wo5LIvfISvP/OlxOuorp4pDKqGqT/+bSqf/mj2OV39SmDv7/4KAAfe9O+wa9eG845UvGFHpyBWBD3zZ0ThNJTVgyjmtpN1dpZs7jxU52F7K/zPQa3ilbaXvadBDgaGhjBqv6IUhAMaaaroZg8huW8Wbrv6mpHuy0hLm5y/F8bccaqWfd5Rcik7RpZjv7XAw3eW2DvlsruSI1aK/zm6ytFVDz+KO0jXwzBIMXgc9FNXzNIHgjgeQC7u/FHO2pxabX8m0UU+H0z26qQNmYbg1IqfEQ0NKVhqaBXn6ZyFFPDo3WVglcMr3sDmLoQgZ5pcOldA9gnRPgiNMOT+xcEke1MKrt5WHur0sFlzm0CHfQ9jTVs3DYmfsGgEWv1R2hAqqHohQayYyZksjhjZRAKWlMzlDRSaBNcKI/K2XjtXW9rhUGepnU5TJ4qTdR/rxHH4kRvXfYZ9L3w6N9Z71QrXw4c++V/8zstfQLPe61Bx1SOv53f+33tHSscLYyqOwUze4vItBVphxB2nGvy/rx0B4HsvmCJv928jAnAT4mKsFF6o8KMYKSSFb9xO/ZFXMUy++5t+i3c3agOvg7by3BaeXYfTD92pVYNvvvIxXPWzv0Dwt381/Af5PLl/+2CH+mI7wlhlirU5SxBGiqbfSTg8tNxiKmdyeKWeCTHct9TiwHIrI8w9cneJbx5b5WN36xXWp+/V/z754hnCONbRA2yjZ+/dChVzeYsLpnN6zFba9n5/4uAiRCL44EdZG/YjxaHVBkXLREpBzdfKtFKIbE8QocehXh7wBsZMBduLNl6kesQdthUdrt5WBmDvbJ4Lp0NOTrksT89hLs2PNPfteOMbKU25nKp5+KGilRC3B2FL2ckcL7qKOaj4HaO1AAxDMsqKSApByTVZSJTN/UhhJesLU4AXqR5nl2HCqKaE+ZqPF8Qd5XUTMqIpBaaUWIaiFXSm6/fJK0UQKcIoxpDa3h+EMYt1j6a/lo8h11TwY6UV1l1LouIYQ0oavnY2MgXYlszOJ2j7vR/pd6OUVhLeVckxU7BpBDEFq8nWosOpeotaH0Xfj99xkh+4fFuimtoJKWChHmIbInM0TOGYgiBSmSPYGiFbP7dlCqzEQTmK9T2GhJVmSNULKe+4Ejg56JUMxEWP/IFszEgdB+JYJWq1g+2VK62Qqhew0uoXyUM78bU7WaXnPwuNAAHMFCwWBkRrBD2ODCKg17ywr4qwUSqe1nmWqWJOLdbA7tyPFW2DxWSdU/Uigj7K5jcfXJtDXUsT8/O2wdaSdkgbd3189BW/jiUF+6a1qq9tCO5daHLPYovbTtR52M4S3X447WdYjrkWpcGUmrCdihMstwIcQ1ByLKJEKb4fTENw28k6eUuSy5nZ+1qoe+Rtg9nE2W49dzTbMtgzm0+c4ASlXOLuJXR7PrLYzNbyXqgJwlbSR+pe5zueztuZgr0l17ZU58JZ7gQTTDDBBBNMMMF3EyYE4QkmmOC8waDDiVgl/4nxQ9EcfN2fbk7hNgmbsSdWgJISGaeHGxvPXwGlj3+Qn7z5Vv7keb/fY3xrR6zSMGpr6pzDYEhB0THZW7EQbYdKxoASp4dQl8yWiJVCAH4ccdd8nbypQ8j180IfBzlLhz89UfOZLVigOKfJN3fN15nLW+wq585rNeEHGxvpd+cScUmhDbWzeQu/EZxTZTsXVRn9SDHlGiy3IhxTcPlcmTDWKiT9lJzOFMquSe0cVMc9VxDG+l2di+Rg0IeZaZjFdoP9dxPKtjmUwDEMCjL1unGweWNKZzqxUuRs2Xn6MyirUVlUyeG5Ul0HL20fwkixWPOytWv746n2P8TaT1O0wmgsRbazDUNAzjKYH3J4GCs6VMrylj6MC2N1BvQDv/Mg1jnRS9te9nlTMt2MRDRe8fuv5xW///rNS3CDEEKws+SwreDwsBmXxuL8mCko8isL1OZ2nJHybQQzr/lFSl//EtD7ytqHuH0vexYH3vVRqExtKB+xmQ0igWr7d9x9bPn/vIrKz/w2l8zmuX53mVasMoJwHCuoVvUB92mUr/Y9g5WXxx2Tx5lDN9p/1fLyyPeOWi+nMz4fq7Y41sZH7J7XH7GzxGP2TusPSkc4eMTOCo/Y2a8ciVKz1OrTWhVRX4u6pQ03AMHwvcE4Kr9C6PRG3Wb0excKuD1RqL5kroAhBBKBZcqBRJyedBRcOF0AASdqLebrPqYhiEKFIQWuKTm80uLS2Ry7Kw5ynVYxDjkY9Npg6HUpBvYLKfR/Qmgl1YyXLRjdybMdQuAFa0TFII657eRqVs6rtpVZavocalOcXGyGIysoTg24rxHETOcsCo7BQiPIxo2Z/BpN0hBiXXIwrL3ffa3Wuk413fi1F/3QwGu3fe2L/OhDd/Lmz91JqVQaeB9ootszrphjRynH1rLDR24/wcN2FnmEEERKYQhB3pS4VuKMq7SiqWno/VN3203rI2dJ3G9+m+p99+M/6xkQt+0JpcR+179zw/7L+OC99/CDj394pky9WXjV27/AP/z6T7B8+J4NpzGVM7F/6meRl16G97o/gGNHO2+QBvL7bsD53T9E5gsDe1sUQxpVvhn0tvSImKofYQjBtTuKnKgHHFhsEtOpnP31w1X2z+W48dJZ/vvgKoutgJmcSZjYjlNC2kze6iHZxgqCMO5w5ktRckwafthjk1xuhpqsGKu2cnSWX6IVarXTRUQcw+VXPBpp3T6gNvqjsRCytejSCiNWWkHHWHuy5vGxuxdYbob8yuMvIG8b2KbkyL9+iJ3PfzrW4vxQYuLW1/4hs8/U/WXHVI4wjFlu+DR9rawaxlotN512pvIm7gYcQNtJwuOOZ0KIbN8Ja8rGIVBIojVEsWoj4muCar+pUgrRQ1Q3pUjUQUWH6nrOlrTaCL6WFESq0xE4HWcbfkRjsclM3kKhWG2GGclWq2br8jS7nAJaga7nRrCmPh8qkJHqcbjXkZEARPKMutx+GNPyIy6YLqBQfPyeJR53wVTP/H7dvumMXJ1CKUXDj1hpBJoYjB6fmoGOIGAbayrHaRm6nyH0O/MxJXz7VDV7Tw976R9y26euJx7jpN704KrvfUb22V/zWOJ4dbidJVKKexcb2IZgJm9RcS3Ktsm3T1WpuObQ/XuPT1QX0uiTg6AFX/R8vncqj2NoxW+JQH39tpHU4wfheb/8I/zLGz6Ufa64Zo8j4xcOrLC1YLG1aFN2TVQYstIMuGAmjxfFBFHMfM1HALccWSVuO19bD9ke5olP7nnmi+fyeJHi0IpHI4wo25JBK2+vrT2FMQhiCraBa0pqXsjxms/xxCFgd8WlbFsdRGEp4N4F7TzTCGJaSbSLWMGOSi4jB4+K9mgS7fkEoSb8p/0odVgLojUl7RSuJSkmngmCof6WE0wwwQQTTDDBBBOcYUwIwhNMMMF5A2140eGu+tkiYgV+pO8ZlSRc/eznN7WMm4FxD0Pbkf7u2Ee/zM4nX3faR7apcXLvyQd41M2f4KvXfn927dmP2Mn2ikvdC8nZBnnHJARWEyWUQQalC6dzuGaqGjReiNIUqXFisRHymfv1oe9FMzn2TY1n5GjHdE6HTUrtFwv1gG1Fm7m8BUJ/NqTAlIKCbWSHPRKYylnU/HDDRKnTwXwjYKkZcOW28jBxlXMC56pXuGNKyjmzQ+UB1g5w0wPdjAYhYKl17hHHFxqBDvnYZgDNWRLXNDas7na6OBfJawKtHDGTM9lTKXQcCoSx6lAXHoTNeK44Vh3G1Ak6YcqEzHMeoGAb31UEYVNqRZJuxaCzgWiT2kR3KvrwYvOfJ2cPJu2kWO/6IISbTITYbEzn7bGdrLS6sH4uUwjKG1/WfVdgvblIh2nf3HadNzvDJI+DrT/94zgH788+N668hvk//8cNl2Uzn+1bxzUpTDTq7JNyqGJhbzkExpDw5qDJNrYhszGsPVJKCtH9BYPfYTsxN+hT1kHk4M40kn3ec5/CwZu+0nP9ZN3rUbTrRhAp8paxFolG9BI+s8Pytq/b9wR3HF3lGweWUegx3gtiXrTtAvaeeGBI6XufBcD9/Kd56uc/zY7b7+LoSpOTC00u3VpECPBj2PW8p42cZjfS4i/95h9tOI3TwWLdY7URcqzaoNXG6OkgcIqUNLvWQvKM31e3/fLPUH/D/+t4dzEqUeNbjzJ6ethWGn3gVyRli7R6dDtsU4zExnVNTXcOIk06bZ+Sg1hfH7RWN6Sgb2zuLoSxwkzSdi2BSKnFQkfD6ufkrFQveSsdC4SAu+frCGBH2WFxKWD/TLF/5l0vq/1ZthUcgiT0NXQ6Ris0SVWOx/8dAesRjgdfcyxJ0497iFbdA1SmSMdaG2m/JSWWiz6vbmvR5mTNJ1Jr88KOFz8T++TxjvuKQCwEh/7hX2DP/p505vIW8wNIxBfP5nFNkyiOCaImdT/qIR3L9/37WHbB5hnadP+vx13Ge755tO81AVyzowKkxG9FNVGj7F7bCtG7b4gG7J1cUxKrNUKptfcCit+8TUf7Ye39pqqjF+2/mNuOrGaEvRRX7hzQJ4bg5/7929nfNeD5f/V+/uZZV46VxtZdu3n65bPU/Yh9lTyuKeCG78d8wpOIjxwi+synUY0GzkUXEj3xyci2ThbFepyNlFZRNqRmwis6xxszqYRUhfSOE50qytsKFtsKFgr43AMr2dpDoRVLd5cdrnzkTvwo5u75Wo8dc1c5x2ze5u75esf3ecekFfo4beqfV2wtcvepGoO0JFa9iKJjDCTWH1xp9uyjX/7rb+ZP//5hbLkshxiBRRa2Yu799ArRz4MhJNO5zrwUcN2eMg8stRAJMfVEXRP/j77jQ1Cvs/t5T8PwWx39zn7YQ7ns/e/vGD+kENiWfv5uAvZUTh+zVvKDI0qs51aiRryvX5o5y6DpR0gpmC3amFJgmzLpfyGLNR8/1Kq6VkLKbPRR0W2f8gypldBbYUwYkxCi125o+pp4iNL2gUhpgmj7PdLo5PcvNgJcUzu3GLFCCD0H91PmBZ1nP1uLn5AQu+0DKil3at+t5C1qrTB71s89sMS2ot1RRtvQBOv/ObzCEy6ew0n2O7FSNP2Ik6u9aryzBYtWGFNfx6G9nbjd9m2PrWvmmwHzj7BGM5wrxezXQnhh7yVDwsKI9l8/UhQsgxlXE0wvnSty+4leVfluRAPmHCmgaPeScrtRcky2FpweJyOB0OrxD7+ScW0zArCisMMmvqVgcc9CL1n6ZD0gZxncekJHHdm3pciRpQYPtEU4SIVvXvPSP+a1b/rVkefkU5deg2tKlNIiFGmUTS+MuWQ2xzU7ihxcavHNhSaPv2CKZhCua38OYpiyJadqvfV6eKXFxbMSx1ijeZyotToUid1EVEeXo7O9bnT1oJRise539E29dkzUvds6shSwreJm+19rjHPbCSaYYIIJJphgggk2HxOC8AQTTHBeQQpwTG1c8fsQhcfd2BYf82iaX//GZhXvnEEa2gpOX+grNTa+6L/eymN/9eVZejIJC5ZzeqeS+XrAVM6k7keZR3xWtliRH1Npph/qfsg3jq4Zrg6vtNhTcTbkhdyP0Dyds1huBnht5Q9jHQa1FcbMFSyafoRtGiw2A0wpmEpIxmebJxwpuOX4Kvumc5Rta0Ph3s8GUhuieRbC6Y4D1zZx7fGWROeqt/uqFzJXsDNyhhS6PzpJiDQhYLkRUM6ZmFKy1PDPent9sCGSs7VdlXzfA385LJ5wgs3oYzU/ouQYPQbaCTTKbq9y0bmKxYScv9ylVvSdhpylyW1+1D8k+NnAue4Ic7aglOLu+eEhlTcbUuhDu4tm8wgBd52qD7y37JqnHYHhrDqYfAf3201H2/pn1Grb9ewbMOu97bXw7W9RuPHRBHNbOPr2D26gKJu/GFO5vJbpGyMcuRGFNMszQ++5YNolVqrtsHTzGl13COtdz9YOnaPUTnbPoYOwZ2/HtZVWsO6Bdb/0xn2y5XrAvacaHd/9yY//Pm94/Ys27Dh75IpLufcDX2LJC9mzo0yt2qIVxhjh6Y1LYWX4ez6TzNk4Bp+YbcUcMYpbEvLi0OK8+a/Zu+5dvTAP3NNBLGiHR9TjVLmZMDaLMTBCQ5Rogr8Xxj3kwhSiH4t0TASRdkAEEpLkWpqD6jKI6SE+LSfky0tmCwghiOKYexcaKODASp0dJRdLiI7oTK0g1mHHpVaE7H6afoS9KIb7FpscXvW4YstwkuX4fX743WGkqPpB4qArErVqTdyyjNH26+stUfuRhgGkhJO1tjGiVmPfc27IPna3TKkU+37q+axe/0Qav/s6crbBcjOk5BgDyVk5S1LzQ5SCo6seQii2FixakWK2zTF97g2vHelZzwZ+6dnfx1/826ezzwq4ZnsZpfT7Amgmkb0GYsRuPagftjvyDbpnM1Cr1SgWO9u8YTlEQS85cBD++kP/TcOP2DvlUrSMRFlUYUqBdeE+vN0v1tHX0BHwwkgTguuBVr6t+xGxgotnCyw0AqZzFrZpcKzaxDUNDCk4UvXYW8ljSsGxanOgPUcA1+8r0woUfhRrm6VrYErBlpLNbcdWe8jBF8/miWOwpcFlcwVylsl8w8MPtfL11ryNAFb9kJmcTRTDVdsr3HxsZXC9ehFNEfUQJQ1BB7ksVTG3DcmhL3rM7Hcx7eGNR8WKOFS88qf+EtAE3m0FBykEp7r2IjtKNjU/Ioy7iLGFAoff/5ns4+MumqOS04rea45SijBS1LyQWivscN6wDNg5lcvI3mmJRxkbgzDGCyPyjtmh0jnOuJreu73iZnv0zrWhYqmu1W8VWpE0VY12TE0U9oIYIbRzTQeZX3XOgwLFlpKNbWjSsFIKpWCpEWS2f0PClqJNK4yotiIsKQm7nHhafZxzw1jhtCni5yztkNRIlHodQ3TY50GPDe1jghDgJA55mbBIzSeIE8ddP07m5LUYAHnLYP9MgVjpsh9YrHPp1hKxgpMrrb7jTdE1KboWJaWoew1sU8+zKlYoREL0V5lzYKzWlHUtQ3DnqWpPv33ok17HpxZeQ2yq4exJpTA9eNGv9N87RTHsncpxcHn9aE0XlC3sL32O5uEDBGGM2LOH+PJHgmUN/d1yM8SUUHYshNTzFsB03sr+HoQteU1GtgzZV8EaoPCNb1N/+BXrlr8bAnjiRdP8+20nAXpsVmnES1MKDifRAY5W9TixZybPVM5kvupr8rwXYtRb5Lbs5L+uvoEn3vLJgfuSNJeqneM/f/L3+dYH7mDvTI7nP2YvhhQdThoNP2KuYLF3yiGIYwwpKecMlhsBrmlQDyKK//JmZt729x15xYaB9Z6PE+QLPfkfXmlx0XQhI+BO5axs/FNAI4iYK2jn7ZNVj73TvWmMgzhWHFtp9kQZlQLqUUgOs6PuKzkr64+GOHfPUyaYYIIJJphgggm+WzAhCE8wwQTnJfQBgSYJd3w/Zjr7XvNqTr3xbzetXJuFjZJ727fmrdkt5BZObUp50nKYxuiHgQ0/ImcauCZUvZBL5wp4YcyB5Sb5OQNLao982xgcRrIfojjmeM3nK4dXOJp48e+fzWHJ8YOdmlJQcnrDX5tS0PDDHuNjO+brQYcKRhgrlscIOXkmcGCpSdH22T9b4FzmHIbfAYzUjShfnw2EsepLyvKiGK+5Zn1dboZZ+L9hKNgGrSA670nEZdfUxkpPH8gWHIO8JbFNgyhWVFuhPhAQm6dQOgqqniYJV9dRHflug4BM4eJ8wWIzIG9J8vbpEyPPVQQPIjE4hWtL6qfZNswxTyQMqQ8aw0T1exxSwibwigbibLwKUwr2zxbYUXY5vNJkW8llOm9zZLkx9Df+JihqR2eRtXueT3FnFeOScvc87XpkHA38lQKs+VPsfubjOfy+z552+cZFT7mEoPqkp1L82AcQ0fpjjRIC79pHsGX7LEf6qItJAY/YVaZgiTO2dlRdbHqzvr7yVzf2/PSPcegjXz6tcpRdEzvZj42zFxqkDviu65/Lc7/4rg2RhCVwyec/yOKNz6bqxxw/FWBvINx3ipTGcuRdH9lwGpuFMFHbu3Z7mWYYcXilRWPAvLjn3f+8oTzi/HBSaNE2KVhm74tJm+JP/DjqzjUlTp75bHj1/0GgMmIc6J8fWunsN+PO0YPQ3S8gUTUzZaJWHSPFGmlj8Jy6Edp7L7rTdy1NwmoGMX4U4Uc6BHTeluTN/sQcIfQz5CwD25B4QcxUzmSpGVL3I46ttthTyfe8ljTsuGBN/TGI1MBnfmBZk4MhDdU+GP2VEQfDMQyG+WIGsRpIarpiS7FHbXCzIIADS51rm70JOXhQi0xbRvmL/0X4tjez/PyXMlewqPtR3zopOwarXkQz8HHMENsQOKbByS5bVD4hxY3TEy6xLO4MgzOynjl8750939X8kDBW1P2QimutuzYf5VnytuyrZtqOUcnBb3vTxmy8//ryG/ipt3cq6v/ce77JG354NKLaz/3e67O/Dy232DMFZVuryYaxytSvc5ZWSW4EEQ8sNfqqiN+zUGcmb3HnAOL1cnOV6bzF0jrzrSkERVuQ9uaZnEUQx9x2bJUTtc4965Rr4hpm1o5MaRBGirJtgd1pA9tedLN3EcVqXZvGdL5XlME1JZYpCSNFK4ySNhVh5QSvf+u3edUvXs7lz5jGtPv3e5XU6Z3/5vMXH/jx7HshJDM5m1UvzAjI6b8n6z7/cdtJrtha0NHigJJj4Jha8XK1FeKYvfn5oSaWRl1j52zRopyzaG/l7XPcMFETL4g4uqxJikbNJ+/o+jYNTZ4sOOZQG3w/InK301h6gxTattcM4w5Sn1IKIUQW2aoVqMypBPQY30z6pW0IGoFiuiixTYljGSi0ym4riDANvdat5C1MKSkoE6U8mr52LCo4JrHStreiY9IKIppBjGtJlNLzctqmHHNtz20bWs0+jPqPAV645ggTRnGbQ15n7Tf9mCCO2FNxCGPtMHPhTJ6SbWZE1SjW/cALIhZrQd++mbcNColQihCCC+byHF9p4YVx4sy8lm+zzbs5zEiiimafdHc+9Pt45Dufxte3fJhoEEk4IQc/1X05W3Zf3Hs9Qd920AZXKHa+7x3Eb3+LXoN4HiiIbZu9QrD6Qz/K8gt/CszB1IEwJlPqnSvosajmDXewzFsG28u5hHi+OeurbhxcaeGYWnXabFNov3xLnjtONbhuT5lWEPOt453Oq6uRopyz+doDywDsLdt86a6TWIYkeOpLEVdexePf9VcD8z2+az8f+sU/p2Dr/cbBxSZ/dtNdPOWqbVyzt4IUAi+K14RTpGQ1qa+0nTWWVtj7nBuyvt3ex2UUsfNZTyKybA5/4HOArncU+LEiUDG20Hm7poFprEXABL1Yu2jG5aLZUs+cLIBxrDe6j8XZ+FTztLhOKwhphTEXThc6+mrOXtuD9RleJ5hgggkmmGCCCSY4y5gQhCeYYILzFlKAbWijhEpsJ5b8zghTc9SqsDNY2RBR+EhlB0cXG8h3fJA9T3n0hpWX+qHw/ndT/6Efw7UkbmJw6WegN6U29qTGjrmCRSOIqDg2l84ZGEKQsyRBpA13phSZN/16CGLFR++ez0JQA9ybhIw6uNwibxs8ZFth3WfOWwagWGp2GrDsRN12GDk4Rb+wWiutsK+ywdlCzY+4+dgqV2wtItc90pvguxmR0gc5MglDLITuXzUvYiZvUfP0YXN6mJCzJFUvTBR8RsODTbqaypnEai08XAopBNMFG9PQhspyzqLuhaw2AzaB1zYWzlWy+YMBSwoKjn4ny83R1RvPFTSCmEbgZ+oc5ysGnScZcuOk1E4No42rw653CD4KLp0rDlSr6YcohkZ6uDfm3H6mxkCvD3FRoMN1TuUsDAHHa95pK6yFsWKu6FB0LS5LDkKjWA0NPVp2zU1R/w5CvT7sXNB1KlplJ+8CRlvttr8R0faXQnZ915t+Zxp67hymIZT+vC0foQ+8B5e136pddZcsy0EC8ZDnHsOvb3SMMWVteeVLhpKD25MzPI/Kn/0+K7/8W6dTuk3B6o/8OIVPfmQ0grDtsPpjL+LSuRwXz+ZYbOqQtUppkpdk7YD/TM32/cblsQm1fQbljThezid9fxyHyW2VHDdctU0rhgqBH8R85o6TfP5Rz6CaL/OTn/jHjTnP/vEfwFOfzeVb8uSFwjQlyjBGeq8p0nzDYonb/+Wj4EWUnY0TjU8LbTwKpSBUYEmDC6cLmFJwdLXBqU1yUj32qt8der1omyjV+zbqj78OatWsuBne92/wvn9DXH01xbe+u+M337OnwhVbCigEsVJUcuZgheK2OvCTiVy0/y+tH1Tfed42u4lFa618I7xkP4pHdnbuvqMVaFXhehhxouZldpO8JdlVllhS9tSxYM25M1YqcZrXdVW0DfZWhivCKVgjXJmCY9VWzz2OKVltrfWRzdqnOKZkW8Xh4EKTqdxGo4RsTll0VDKZqWUCNMMQ0xCUXROloPiTzxuJpJs2yel//jvMl/3U0L1yezPxwhgvpC+hsrGBtdtz8yVuajY4K27qCg4sNzNy/Shj/Shvbj0n8pwlsihJ/RBESke7EPCB9/7rCDn2SaNRpeKarLTZDmbzFu/55lFedP0ltBqDVZJ/75/+kysedh1SwFzBZtq1MGX/+SLth0dXW30JiCm6VVfbIQW0xnSalGjRhyOrHl6oHQyWmyGGgItmCpQcs6f9moZ2/GkXIJCCjnIrBRfNFDmy2gAEQRix0tW2+z2KZcq+e/5USf51f3kHr3zZxVz5zFksV2I4moAahwoVK1YO+yz+d54Pf+C2njSKjsmeSo57F+q4piRna+eEKFYYQnLXfIMt+6YoOQYNP6LqRZhS8Oh9030JwrZpYJtQcEzKYcx8TRMqy24nObgd3av69ppVSrHcWLMXRAqq6dgbAES4loFlDF+Pqa6/uymX1WaAF8ZM520sU+L6ESdXvbX1TayIu/pe6lRCkp6bEP0MKSBSHFlqsa1kk3et7J5tFSdz4MjWbEIwV3JoehEF10xsAIpyzsrmljCKOLbcQgg67HCyjTza7qBrmaLtHrJ3FUYxzUz5eHCNSSG4YDqHH0WUXZs47m2bcSw4vuL1XV8bEuZKTsfcKIRgx1QOUDS8kBOrw+1AYQSXbylyYKlJs61j2Ybgx37xdVx324/yrje9kMVHWERtJ/emD7NfC3jRL39oKDlYl6lTcdmUgj2VHEerLbbnTYxf+yXir34ZWp3rAJn0x/J//Cvurd/k+GvfCJZFwTawDIEUQitGd6nkL9QD5goWp/qoBxcsg0agXX+nclYWEaq73W0OBNftquCHWpXdC6OsT4SxouKaHFv12FmyecqlM9x+ss7B5cRRTQhqrbXyz1Rcnv6ES1BKcdepOqVnPZsvPeOHuOCrn2bbG1+LjDt34duP3MvLfvWZKKD6lJ8l/r6nUM6ZfPhbx7n92Cr3nmqwo+Lwihv2E8YqW/dlqNUGOia1fzYCnz1Pv575j30ZEMy3jSO7SzmEEJkjWBCpjnVvOWdRCyIcy9jw+k4pxWfvPdV3rWII2FnOaWfA5PVKocf6CSaYYIIJJphgggnOHUwIwhNMMMF5jZQkfDrY/69v597nvXBzCrRJeMnjfx2A13/5DVxRPzoSyTc1rfzRS17H9ttP8ZLH7qM5t5Xc/MlNIwk7d99JU+hQla3EGGAm4ZJKromRHOzW2pQa8olaU6oGZCUe3O0hLsNYqxJ2qwFItCEhTetUw+PDd84PPDRpBFp5Z74RMpcbbPCYzlmstoKOQ5qCbSCAII5HJkAuN0Pm8naHQSaMFeW8RdAIxvLA3mzcfrLGtqLDtqIzFhFqgu8exKr/oWTeMjoObWMFdT+i7kcYQhP+F+pnRqFoEKTQxLd2tIIYr6txSwEzeZtmENHwo54Dp/1zeS6YKZCzEhWFBKYhqeRtCo7JkaXmSCTInGl0GPQ3gvRQbgINhW6TZ1PF+Uxgvu6PTo7qmqZMCceqrf7ztlhT73QT5SmtVDO4vhSd4boVgFKZGmKstApSGCnCOO7r3CIAKQWfuGeJ7SWb49Xxyc9PvHCqw4FrtjA8bOX5BCn0wWWwziFXvVaD738s+G3192PPp/Dr4xMi0wMl7cBhUnZMKo7Vse65YMqkEWiFt5VWMDBc/DAI4Nhqk+m8naV969HlgWSGmfxGST+9qAcRNx9f2ZS0zgSu3VEeMSKCyg7XgyhGczkG/86Q/Yltw9IfBHEWD+NSZcR25O+8faw0Kh//4FknCIseKgUEey9k+cU/w9Tb/gHp9RLoUsSOS/XGH6J17SMB3R9TNbr2HM40xlXwPFNYbAQ6NLgpe4gDw2BYBsvZ3kt11OHNVz2en7/q8fzF61+0IeNlzQuIFeyYzhHGin9+zZt5ye/9xFhpRNLg7a97LxzRxNfvu2hq8M1n8D0M01kLY8WOcm7TCMI85KFj/6T+yIdAPHyeUbfcQv1pN1D48Cez77aXXKbczkFvFOeWuxeqQ4m5V24pIrrUZoeRC5tB3FeZUKAdO4QQuq/FmhgcK00qsi2FiHrfTbo2MKVI1mtrd8RKzwsLzYBDK51jTCOIuXuhzkUzeeyuMTwlMd98bLXj+7xlsKecH/hs/dAdFrpgGxxYanHLicEEyH4YdYSr+QH3P1BnS8FeV9nwTCAlkgVRTBjr9+2YMqsHA4PtBZdvn9L9fObeu0ZOOyUSl48cYGlm18D7xn3ucWx4l1k201JyMj7zhh/FBiLujEBEMgzRwaKWYk0Iwmkj9+csmdkSc7YkjnX/skxB01eg4LrHPJZbb/7GeGUEDMviYTsKREpwZNXjgaUmy80ApRRv++LdALzyhx/P0QfuAcAtFPjbj/4P22Yq5CyJQDCTs7CkMdJ0EHS9L9eUCUk3xjTE0DX1TB9F3mGouCZ+FHO8uqba3vQjdpUd5goOYaTtPqYUSEE2viqlHRHaycpOj7OFRlqea7eX0RtXhSFEJqywt5Jra9QCP4pYbtZ60mkGMXMF/Xyvf9M9PGq7y2NvvIDiTonpSrxqRN7fyb+96zZMQ6vPeuGafTkdyy0h2F1xObTSyhRbr91R4Weuy1EPQu5bbHQ4koexomhb6xLnLFOyYyq3rr589/U1v0NFww9p+DESsJM23Q4pNJm1X/ppOv2utX+30vBZTN5JtRUyV7RpJURNKxHGiGNFzhJJHaq+isdp2fwoxjEFXqgyW7cA6n5IwV5Tnm6vPSEEebftWlfdmoaOwNT0Q3KWRKGQQgxUE0/VjF1T4kedgiWjKIwbQmIYUHGtvvdqh+jBCvtbSs6QsVyQd0zmSor56vC+aQjJ/pkCK77PqbpPxTHZVnQJo5jK/mt55qu/hh8pWl/9d+6/+TNc9Mgn8/AfeD68YGiygC7/cjMgVHpfUrBNcpaBISQXTRcI3vgXhF/9Sg85uB3S87Dvup3Zv/lT+I3fZrHN/mtKvWaIYpXZBAb1g7Qfg34/NT9gNmd31K8hO912s9Te9HZ42Zhnde94L40g6lAH3la0KTk68sJKK9SiLqbkK4erXDKn105SQMEQ/NedS9nvtpccVuoe+3bN8PirtrOvtYT7az9FdPQIK1FEJTnbkn3Gi5/56N9y4Ksf5BOv/mti4N5TOkLB0x66Y6Adfs86UQtSCLSasPyXf2b+x9bqZ7UVcky02FV2MRBcOlegGUQcr3mZneq+hQb3LTS4YmuJ/VvWooWMPqMr7jxZzc7kLpzOE6m1yA9XbStndoxWGOuona6Z1dF3iqjTBBNMMMEEE0wwwfmOCUF4ggkm+K7H9BMfz/Rzf5Sld73nwS5Kz6b8ld/z8zz1wOf5pXs+NPSAIP3dVy96JA/dU+EJV2whBE6+/QNs+9EfwK2ubApJeHHPBT2FTMNktRtWpdBKG0GkvaIbQcRiI+CyuTXDgIIexZ1mEGvSt6m1b/1Ik58cU3uq33K8NjRsHWij9q3Hazzxwkrf64OUHXOWHMvAniJSvUbFMFYPKjk4xYmax3LL5/K50llXRZ3g/MWgMMWgz+zm6wGzCUl4PbimROZOf7mpFB1KPqDHGK+xph42m4S1G6Tc6piSK7Ylh1UDYEhBwTHxwxi/7ZCpHzbjbNuYWEcBTZSu+9G6BMvzCQuNoONAZCDaJmdD6nCy64XpbYdrSvK2sWmkzH6o+hFfPawJE0XbBMYjCG8v2YhNclWypOxxDBgXCjVA+XVjkEKTg21DZAqY3Ye89YcPCE387ndQf/c74GnPoPB//2Sk/JRSBLE+cLlkttj3UCotV9G2shDGMD5B2DQEM3mbhh8iheDoSpNDA0J/AwQTj6Qe2KYgjtXIas7nAtFzI4hVEjHEj/Sh4dd1iO5Re1p2X60GxeKwWzcXAwq4+pwXELsOM//4VyAksrXW7mPHBRWz+uwXsPyinxo9qzM05cs28k2KcUfczeq5timxpBhTbX79m+W6NJz+6C7Htov3jqxGnN73tj9699D7OiA0+ShjtXUXuSPTbtpQ1/dtUoAKPf8NU5qMY7h8a5E7Tq6RIsZtBxsdfuo/fOO65OAMx49Sf++7KDznuRvMTWN9gmLvk683vvYjCStIyL39fxzG+iXZxtpKJ1Zrqozp2vZYLSEaJuUw+jSPdty32OCa7eWO7yqOjTWtSVEKRcWxsjJuRAluZ9FhW8EBoR3F9k7l+d4LZjKVR6Wg5Bp6zaS5fn1a7dqqaqATdxhw/6IeQ9dzHjCkoGgbxEo7kEexypTosqACQpMYDanXXbqPrJWsZ42nFIhe4rkf6vetEse57v41bo2Kl72QXZ/80sCx3hCCimNmD9EMQtJOntnBDKnb3KVX4Nw1npPNc7du5w3Hj45Z6tEwV7BJ3/5s3sn2wW3DVEKU7kfzUjimjiKWftfs2usYUqvHp79zLYEXaEXgSHW+u7SuXFNmZMGcJbK/AV7+/72GN//dG8Z+zlf+0d8hhMAUsG/KYV/FxosUB2/7Gr/64mehusa5Vr3OT99wNW//9M3U87q/nqr75EyD7WWHvDncDrK7nOPuhTpF28AxJVM5G1tK/Dji8Eovec8ydB0WbBNLipEUzC2pVW77Oa56kaLkWJk6sBZM0A4MlqH3N2ZXpDcj6UtmQvQKIr2HXfV0+rvKbmJ7TN5+m+ObJbV6atou2sdkU2pl13RoFwJmczZeFOO4Ob76Xyf5nyMrXDidB0TSdzVpNU1fR6ZbS1NKSdG22FFSHEuJ0Qn5c6XVfyw6sFTn8m3lrD4Gj/7DMWz8UIBjGuyadhNHEEEcx8xXfQwpyDsG7hCFz/Z+141YKVYbAa0wounHmbNKGCnyjknRNankY2xTV1TLDzm2ousmFf/oTtdOSMFRrOeGkmOQs80sv1orouXHzBS1Q+mg+uots2Kp5lPzQkTHGK0V9s1EIb/vHiqZB7rPE9J223N74mgQxTpqTDhgDRHFmgDbD+WcmT33YAhKrsVidbhgiCkFpxoeR1d1P5ciwmkFnKh5mUAKwPbH/xiPfMZLRt4fxkpxeLVJNXEmnm8EtMKYPZWcLp3nEb7zX6A1eD+fQvoehU9+mGM/+b+Z3Tqb2bXCGEJfK/PO5K1sPjhVDyg5RseZTXuxm0FMM4BTlpeQofXVRhByz0Iju+/i2TwFy6LyiEcyrqtw4fIrOdBlqzhR8zlRg4tnc9l39y402VV2EErxwOFlFuo+T37INq7YUeKekzWCSPHF+5Z44pVbcS0J8/OIV76YZ9x1Ky8qlvihXHGgLTdt5/sWD3H9W/+Yb97wci6Y1U5f3zrR4K75Jk/YP40hBPU2B27JeOuO2Te/gfD5L+6wWy81A7YXXZTQUUYsxyBIBHmaQZSN8dtKzsByD8NKM+Ceee1IZggt4hHHcNkWgyiOe5ycTQPybUIfE/P3BBNMMMEEE0wwwbmBCUF4ggkmmADY/5d/xvEfuJHDL3vZQA/9s4WWMLAkpDawj+z7Xqw45BX3fbTnQLO9rF+96JEsvua1PGlnqYMscuI9H4Najd3PueG0B/19b34jB37sRQOvp17Zy62wxwAdK5hveGwtuMBg7/5Y0UOsSQ/lrt1e4oGl5rphF3eW7Z7vTCkoOsZA8uBGBSuXmiF+pCg7RqYmdEZCOm8QXqi4+fgqF8/mcQ1zQ8btM4HNoYpN8GAhDSG32gqHHko1g2hdUv/pQKDVcMJYrUvEDONYHwQolR029KSXhEEEaPoh1WaIlCIJWdg57pyuyK29jirQdxPMEdRXz0eMQ/QTAo6uNsciB4MmM7TCeGTS/kZwS6LAYgoGzqHDsNIKqQcxhfaQDxt83Q+C6Ny6CGOF1XZAbwiVHU7W/JDmI64C1pnzPvxB6vOnKPzdW9bNTwgdIjSKRiMExUrR2qDa+cVzRQ4vNzleXe5QAOuHVMnpuwfrH6ONomTVDSeJnHE+CakXbQPL0I52s3mtyLXln/56Q2nlPvkhms88PeLgZqH2jOdQv+FpFD51E8VPfgRZWyXOFWg87knUnvKDxKX+zohnG92jQGSaGOF40QkO/+FfrZvuKFhthUznzLHovKM4bKgNyCSnJMd0XywQnKj5vP+1b+aZr/5fIznfrs5sxSyX1r5bpwwC2pTFxynv+veuFzVJAQaSa7eXueXEKrGCQ//ndez73VeNUQ4Itm4f4a6umjt4YKw8+MPfgdMlCK9TZa6VUi1URnAFcGXaHjohUEk7g7wtM6LvetNs6iC0Hkmve82/0WVvwTLpESrfIGJEG0lKIPU/yUf9RysYhR6nr0vRf3+0Xt20o+yY7CzlBl5Xyf+CNvL1oPK0I2fJnu81UXVtjq76pxnVxWsx5fbaofpBwACHK71eE3/1Fvbe+OiRbCbpUz3+pq/xuVe8iG9+/pND798I2tf/u0r5geS6bqS9ze8i2Z+st3pC0V86p6P8SATNoM1Rog/ihDQsgLwjqXuda63iBh2NHnPDU7seQPCvf/4aPvSOtwz8TeB5PPf6y/mVP3sTj05+3wwj3C6WYb9xwjEkuyouEig7a23HNcxMmXGp6RPFipxlMJdziFHEsd4DbCm4tMKIB5YaSR6SZhARKZ1f2TVZ7WObTXHhdA6jTWk9Uw1Gk7+kKTG6GqBtSfwwzgQIGkHA/UtrbdkLI0xDIFCYcm0dLIUejdvpp+37hrmCjWP0Wqwdw6AVxoSR4sLpQva9AJphjCH1HqQVxpkqbkdUOiGYdm1WvZC6r9Vzc5bE7mMPckzJ8dUWe6fyOJZ2VAjCmLxjZGuVdnJue/9st9UPGjXb3RgMQ2C03W9IydaK2+dX/dGdX3u91LyQINIE++0VTUJWSV0IyMjBQMc4GsYKU2oCqL5PaufXthyUgumiVtFVSrHSCGj4ETlLstoMqOQtRl1BRpFai6bVVWFCip49lABcW0LiMKL6ZNPPrpS3pI422NYWbVMOnEP6OSDZhmC6MNr43vDCgeRg09DrgUMrneN/w4846PfOCcvNkNlciLuOs0GKI9U1cnCKmh+x4oVUHIvoEzeNtcAXQlL82IdoPrdXyVfRu7bptk30W+Mfr3ocr3rsKrv4UcypLvuSIWQ2xxS+cftgR+suFL6hnWoOr/ZXRm6ftxRwdNXDb3gsJPl//NYTAJRdk6t25jm23OJrX/gmJ+4/yEuOfJ3H3fktZqTkh/MlnHUWh2m/vOLWL/CYn/4NfFP39liBZRrcdOciCnjsvgoFW1J54Y+M9Izt6QN89K5FZnIm37OvkozLKhlj18pX96OONrGz7FB0N7KQVNx8ZI2yHSlN7nYME1PIvjb2VqBQKkbTnzUBX55mFNgJJphgggkmmGCCCU4fE4LwBBNMMEGCmac8malDB7n92CqfeeFPc/HCAbYtHDlrJMbUVPEDhSfwEP8w95i7SDf177/wibz/wifytw/8Kxfd+62O3x2p7OANP/1n/Nh1u7m8jxcwAMUih2/6CntufPTYXskpUgOH+fEPEf7AM7LvLaENKK0wToiAg0kop+o+U66FbWzMIjCbt3nWVdv415uPDT1U04bEzqecypl9CYSpx/vSmEQ9SwqO13y+dVx7TzumwBSCK7YWzklV0HsWGszmLHZXcueEmnAcK5KIXMn547lXZ8NxHjF3zhDm6wGG0ATdKFY4plZxWfWCs9LGDKn/W26NdpgbxXDT7SfYM53jmh2VdYh1CtfSyi36t4qTXYbmuYJFEJltv2j7daJUBZ3h8k7U1kJ6llxzUwidecvo6zTSjfbDIylIDnvWCBNx10FIOwdmvSFNJmGX+0F1/dF93yjk7vMVK80AxxhN8Xa5FTB/GoTx8AwRrE0psrDYQvSqq42CZhBz87Ea1+0pY54mw3cjCnndOBM1FcUqIy/HSh94gg65PvK667+/Qr1Wo7AOqSElnY5aFaaU7K3kuHN+vLDhALefqGZ/DyMHzxUsFhvBeUVqPRtIQ/HGsWJUnnCqjNceQvtcR82PMEVExTVZaARYUiAb6ytT9YN57Ngml2441iVe5fLUnv4sak9/1hnPa7Nw+J0fZd9zbhiLWKYe/ujNyfzWb1L81ZdTSsaL2HY4/I4PD1WF7h7L5hsBj7xsa0fbv+vKR3PFbV8avzgnGtncesWWPN930TSmnObAG/+Zfa948VDnW2/nXpbe/B4e15Vm0TGoDXB+24w5alTYxppSczvpIVZwyVyRO0/V4DFPGFsx+eg/v4+CZZCzDaqtsO8app2vXX/vu07rOTaCUWq5U/V3fWeOxgAirCaWDodMZU4HYKOtot+0u7lzwtlJrWCdH0cPpx1dYkQCV5JZf3z9K+x5zS90qPKO4sxQvf4JALzmjW8D4NUvuJF7buu0G/7Cq36bl//iq7hy53jkWSE33/tdit4070rWqVdsLSITMpGRqJ/2I5lbhkApaHgxtpmSkNfwC7/6Gv7qT/5g5DLt3n9pz3df+eRHhpKD2/Gnv/wy/vlL95LL5bANgWMYRIkTYaz0OjodT1SiMu+HMTuKDlHcS6Q3hCbnbivkMKTe60VK77tNQ9s2HEMSxXDZXAmlEnutAQ8sNVhphQP32EXbYP9MUdtThCAGoijO1qq2IWiFCkOo1HUA29AqtCg6VCKLtsW+aTiw1CRvGVhSl9sLOyOLWMbanjLFtpJDwTG55dgq24oO7f6MlZyJF2hH2ChSPU6iYTJARjHEcUzeErQGONgJIdhVdrlnoY4fxUghOva00zmLHUUHkbTLE6trNpuCY5B3jIGE3O7sVM9fa04pZ2NNL4Sg5JqYhkQKcBJ71qAxxOva26cf3S4nx5wlQWg7uJG8jNVmkNnRZ4pOoobcnzTd/jn9dKrqdXxjJqrwQaQGzn9+GOv2Gai+024Uq57xoPsZU1GSnNXrlCkFiWNZG51baFXh+WqLrWWXYSPyYs1npTnYPtkMoh5y8Hq4d7HBFVuLmCIhbCc2mVYQMeVaxArqQYhC0fD7r0+PrrZYNH123HoLNBp97+kH4bUwbr+Fuh8xm++vRN6O1VbIXMFGKUXVC3scDNpxZACR956FGldtK2fjTOEbt1N/5EMGR6owDApfvRXQY2sasaAb3W1qZ8nm/Xee7PsMYRARLKxwZCHk6ksu5Dfe/qso4EdyxWz8Xg9pK9r5hY/ywBOeDuh2pJ0lNL5wYIV90y5POLWx/a8CFpohH7pjgSnX5MqtBQ4uN5jO2Uy5NqGKexy4rQFiGd2OBt2IleKC6TxC6H2HROCYw+0VUq6NQXBuOvtPMMEEE0wwwQQTfDfi/LDSTTDBBBOcBaT71FYQ8YXn/Dz/96sH+MjHf/2s5J1upt/mXADFIlJKthYkJ+ud2+xfufxFPO7Hd2PnbO48pY06e2dyvPRhO3DXDXW1MRWhbuz8s9/jrfsfy5Vb81w4k6MVROsaidpxeLXJFXPFDZNICpYgZxnUEsNX0V77O8VSM+SO+QZXbMm3fdvfEiEFY5PT8pbB149WOV5d83T3QoWH4mtHqpQdg4ftLJ1zxo+FZsCKF3Ll1lJP6KezjYOJ0W62aFHObZIM0lnE+RoCfLMRKa0OCmT9UIfHNJmv++QtA6Xo6aObgYYfU3JMLEMOVDHywrgjbBvAoaUmh5ea7Cg7XLWjgmP2OizUWiGnqsOVUttVfkbFlnynE8eOQqdCVhqNut/Q0Y/goTi/2+KxapOV01XrOocRKijZBl5z2IArCOKIw2MeFPWmMh5MAaWc2RFxQCmtXqNQHQe46V9BDLsqNg8s9T/MGYScJfme3eVNYcedg/43wGBFcanUeI/9/Y+FL9/c95Kg97B2VBhCZsq0m41BDlgTaNJCFCtcS2IaA0Lk9kGqjCcF2cHbuYJB7TlUUPfDbF1eu+GpOG/7+7HTr/7wj59eAc9pnJkBrGe/USzibd+Bc/zYSMSyg68dPwx7D77+FfYmpLZ2GL6XkZUP3vSVkZPrHlI/9vxf5YrXPGvkCCQKWHj49R2ONyXXBJQmv1x8GQdu+gr5t/wdc+/8p47fBlOzHH3nh0cv3IMEQwqCMO5xTI0VWEJSsAzqQcTBNjL0em1h5fHfD0A9iKgHEY4hmM5ZLDWHjPF/v7H2s3TiBE9+7DU0GmvOK9u27+TT37hr6O8MoQm5Zdek6oV918HDCCnd2IjSezc00ahN9bQL5+rapbstWwaMGciiA4MIcPEYm5UzZz/R5MwwjrNndEydWTdpce0X443a1k/+7MaLd8+d7H3Fi9fto/2IdrVHXMfib7+u4/4/fedHuWKu1JdAd+nlD+GuO24duWh/9eGvdZXl9AdBNaRN3H6yxr6pHGXbygiH3Q/S7UQVJgTS9vX4y3/p1fzzm/6O5cWF9QskJG/7yBdZbPodafzpL79sxCdK8nzyw3jr5++g5JiZOmnavgwJXhBnyqI5SyTrvfXrMyUtKtIxXqunppHV2sscRrCnkmeltTowvR1llzBO5sOkFk1DkLclYZuhMFIQhTGuqVmJcaRoBjGmXFMfjxWUbItrd9iEkV7zdq9bB42zswWH2SLsndZ224wQLzS5eKWp95x+pJBoAqlWU5bECeHaj2IsqRViDcHA/U7Rtrh8roRjSmRC0ttTcRFCULCMjBzcjS0lh/aRoJ2434M2J/Hluk8ziNkxpQmlw95yv34/zAG82x7UXZ6iYyKEJvJ2/74VhDSDmKYfaVJ5V1+0DF3H3fa19P21gHIuxkgJ4+j1iGV01lE3usdThWBbxeXQQgMExPGas1POkkl/Vhii00EgiqEZ6/11v3aV3uuYAikFURQzyBTZ7NNmYqXTsAxQSrdz1xQDnYjaEUVqKDlYP5vJQ7aVuLXNCXc9OKbkb758GFPCEy6c7phTFxwfKQSrI4gmtMKYar3JuPrqItBpLzQCLpzJU7ZN6kHIiapHtU/lKqVYamrH4RM1n+mcSdWLRlae31p0e84rCl/Tc1b9JT8Ot39bf3nFlZTe+k4cc60dNIJooIDEUtf3Arh2d5kTqx7HE6eAsmuyY8plabWJQvDkx1zKtUe+xVuSOn9aLo87ptPM497zxowgPFewO86RAFaa4aZsLZZbIV88uMLuskMY13jsvmmmc5KCbZAzJaYhWGkGXVro/dGvPGGk2t6LdixpBvHQKBq7p3JZPqY8t6JtTjDBBBNMMMEEE3w3Y0IQnmCCCSZIkDqJP3TPFA+5YAbpB6iPJ9fOQv4R8I/T1wBwxz2HufBRu+neltdbITd9+QHKeYvve/SFVIoOj7l0bmRFvtzjvw8Y/7CjHQJ46qUz+JE2po1L9G0GMat+SNmxcJKQZV6gVT9EEvJMp6mIVWdYOtChMB+5uwQJ6aYRKr5yqNP4XbQNrphbI96VHbNHHTPFfD1gyjVHViHN2wafuHsRb4hK0KoX8eVDqzxyVwnbEJnR9WyqSg1CGCu+dXyVvVM5Ko71oKr97Z5xE+/1B79exsU5wg04J+GFMV7oM5O3aAQRNT/CkIKp3OYo5qZIScezeasntF2Kitt/qavQIeVWWgtctb2cHWik7zU+Q2qs66Wa2vqH3fed0vZitRnHy+c+1jOCCwl3nRhf2bUnnTGHUdc2WGr0znsiSWuuYLNY93vmuiMrLfbP5Lh3gDJLP+ydcjdtmD8HptGRUX/y48f/kd/fMSFVUDsdEtNmkm6KtpGt4Sbk4PXRCuIk3P14SBWuRglffy4gjNfm5toL/hezb/v7sQidAGzffoZK1x/n0ZAyEKJL6Qzg+Fv+k+0vfRbOsSNDiWUHf+MPUA+77rTyNz/+IXb92e915NEP+258NAfe+8mhasKDIIAT5S1sWz217r3p8x39P38KR9YIGP3K1njJyzn4kpePX5jxL2060vkgbCOK2IZASjpUGLn4Mg786d+z71d+ZmhbWHniU1j+9d/ryMOLFHkUcwULP1IZAaWDT+QNd6jrB6UUj3/Y/p64QyeOH+XKnUUqUzN86dsH+/7WNiUNP2JPOc+K53N4pddpyRhxwrMN0aFw2besI6WkSX6brRDZzaHM2ZKWv3nK8nNlBztZqMqkzg4tNDYcCWZQuQwhesibg1D1QgzZQgitW2oZkpK9Gc7Ea2uonKVJkClx0zUFIOjg7ORyiOZ4znvll//cyJE2BGT9qvH1r7Prl386+74fVNe/AFGpxOG3vh/y+Z77g0ghpUDFqqfe//NTX+ahF87ie17P77rxqBuexvZNmpcFWk2wEYScrA8fNw4sN3noDjsjo7qmpBXGCMAZRDYt2sxX/Y46+uKtB/jZFzyLz3z6YwPzmt2+k7+76WvsLDtsKTiJ42aLwBvPIRKgUVvFNWW2n2rvw1GsSfipCGY0oiHOlGAancTdMNZtYRDxVgB7p3IcXO7fhl3TIO76WRgpLKn6rjdbHYrsiZpwW/mVWotm092GTaNXwbWjoHRGIsrmp65iSKnTitUaMVrTTNdC1qeE5pwlieLOZ9ERlJL1dATbi7nsWbqfWQIzRYuiaw3ce/aM90pxfKWFH8aJwqb++sBCg6mcRSVvddRO+vvu2h70fVtGCYG1U603I1cDRnJNdX0Peu2w1LZ3c0yZOLjoAgfRGgG7GyXXoOFFHF5q4pja+XRHxcUy5UBbd3s99TyrEOyYyul5WIAfxISxouiauJaBUopIKU6stIiiTsVghSa8GpK+4hexAhHTlxzcTnCPFMRhTESMiczKaErJ0i//EtHHPky7peZWwNi/n8s//ameZzYMPW8NmgVMqdcc9y7UBtzRi4Jt8ME7tJNDGGsb5vbSmlCBQJO625+pHyxDUHJM4l17iS0bGYy2dlOGSbhrD6BJ1yXL1BFyDJOL5ywOrzQ4lbSnkqPtA8tdUYWWmiE5S+KaciThiJO1FluLdudalkTF+i3vzD67po7U1T4GnuiaWwwp2FV2OF71aCZ5G1Iw7ZocPFXj5sOr2bNdvauCH0bMzRRxd1UoCcVqK+KPfmvNAacwwJFgGGQcU3ENVlpRj1r1RTM57llocmLf5ey8/9tjp90OSwr2Trvcv9AkBj53YJFrtxd72sUDS00MKbhie2Ws9Bdq/dvMoDGykjOzsUiK8Zz3JphgggkmmGCCCSY4s5gQhCeYYIIJEhhCk3QRgl976hXw1Cv49CevZ+5/vnjG8xaAAXzm+Pv5g9e8EykEhoSLhew0sIq1f67YXuSiXZWxSKcnawH5659I8Yv/dVok4fTgwwtjKq5J3Y+YcrVKQZwY8ZaHeM7fv9TkkhmBIdeUO72wvxk0iOIOw7ctBaYQ2YGimyi/tB86mVKgRKfOw2Kf8ggBM3lNghoJQvChO0ZQIEHXzZ3zDQq2waHlFtfuKFJxjXUkJ/qTt9tvlSO8774KFIlBRiQnFcerLVa9gH1T+R7D29nAnpkc5sR9/Dsai42AkqOXmlGsWKgHfRW/TxfDukQQxZQdIxsnddjCzh/898Glnt9ds728qWWcYA1BHDFf99cUob7LcdsY6jHDMMrckMJYZw5SCubrPnMFi4UuEnEQw72LTXZXHI5V/XUPty0p2FEaX217EOSGVy4PAhbWJ7KNAssQxHH/A/txsJkE053lHI4pueX4YHWyCTYP3aFuH0yM0wMj28YYQHrvh2B2bqyyWIZgrrBR4pjI/l9woCOUMCJRSNT1nvgttv3b+V3m8DLoFaX7tzM0fJUcg7xt9OTvvfMD+EDuGU/ErK52EDSaT3gS4e/9KVNDyrU6TDW2DaOQg9MWvPc5N/QoCe8q28zlpzsSEF2/9YMyK29/H3M/+iSMhLTVL7/0Gev/+p/srjjM5tfaR86W2KfhKSGTfe7/z955x1uSlOX/W9XxxJvv5J3NiU0sCyxpAQHJGYkSFNCfIkFFRBRUDCAmQAQRUZKACEpmAclhCbsLbE6zs5PTzffk7q76/VF9cp9zz7lzZ3YXzvNhmXs6VFdXV3zreZ9XYEgJ5oECRLPg/YSoFCcTlhREWhMqxXTWpbgYk8MuuIQ9V/6QzKc+wtT7moq/GihefBnzf/PPPdNcbFlDT2ec2CmkZcV6wYXwg+HsJUWtu8jBrVheWuC+p0/zkzvnus5pmk632R4RlNaaE6VcSRiqDXe8sCSJ5Nqk7Fy8ZYww0g0iYePa+P/qjtii5WAUKUMEihUeTW9lzovWb9LKCOtje3AsiexQwts2kWLP/GDEWFsa4m+jHHsUpy0lUxmXYz3IJa2oRZqjLddlXGtDCMKtn0BpQ7gMYoZknfzYqqRpf/U7RA+9bPAHnHHO0H183cFq5xrk4Pq5eu72XPlDJvs4yAJMpx0ipXFtYeqkJibbmfM/3T3PYx98Mfvu2tUzjef+9ut45m+8ZuD3WQuWJfjZoeXEc54lGE+5ZFwLSxpF17oCb6g0lhQNBeikqAqWFGR9B9eSLMTKrXX860f/ByEEP/npT3jO4x7aOP5rr/srnvD8X2tJxdRnz7I5YzLLy5//q+t6z1MyFqlUuk0NFQzxstUluRbVVa11w4mv/q4SENK073JNEdaa71MnWtmWbNQ535ZEWqOURghDFEw5vccjiSDJ1aAcO7Q1SbqaINJYskm0TDnmWZ4tGn1tFD83iFQXIT2K1jeD7RR4CBUgTPk4sV0zrOeto+MtBwpbgCNNvRMYUYquchCxnbSDZOo5klyqndDbic53WijWmgrRLSeVgoViQNq1DJE27q1bHXZa0+pfVprVcsBiKWAy45L27MTxTrTd0f6MlCNptX5VQ0XakbiWIOVKglBTCsxY48fOoJVAGVJlxmMy23xGv72IVqJzv1WMa0tc2xBz0x0mAyGM7X/reIpyzUT48myJRhMpjUQkCne4tlk7VxLO1RWufccQw6WA244VKYcRed/mtIk0y8sFilfcv+e7Rbt2ceMpOzn1fz5F9v716zS1UJH2LMq1qI3MbEnj/LJ7sdQzzSQIAT/Y277Wni8HnD6ZohRL4QeRJu22k4Mn0w7VUJFyLObivY6UI1koBViPeCzZD7xn4DyEQlJ4/FMB2Jr3OVQos1KNOH0yTS2UzGZSbM2nObxaphREPR2H65Fx1oxKgSFtVyOFRXN+0hlFKUmpHGhzGjtjKsVU2iFtC06f8FDazJGPrlT4+A/2Na6zpWBH2uGWXUfZunmcg8dWmZpMs2u+xEzO4/q7mpEtKusI3yaAJ7/6mRz7n6+yd6namONszXvcEc+3vvIH/8hLfvuxA6fZuXtmCcj7Frta5m/nzaQJIpXYTnfNlzhrJjfwnozWpqw92yjf21JQDU1/n9QNCGCiZQ3myHuXo/8II4wwwggjjDDCzztGBOERRhhhhBhCgGsZ8kvdthK+9R3w2PsfF5l24OfH/77uLb/K77/yP9a8fqkcsmNTDreP4bfrGQKW/uxteC96Os7hA+t6r1YjRC3SbMnZbM83wwYBhCrqSRCeSDlsynikXatnOMdOREqTciVRpLGkzea8x4HY8CMEPOK0cUBTCBQ3HC6yVAn58f4CD905RqgUK9XuLUhbCrKexfwA5GBHCg4XA647NLinP5hNn7qB7CcHC5w+meLOIVQXu/JhCR66c20v76RS1drU63HfohIqKqGiVg5ZKq9w/myuvr140nDiwoeeHKzDLjgCEGnNZMphpRqsW52qFVIYtZpexOPScahtjrDxUFpzaLXKanUwxfZ7CzZlXbbkU2wZ8zm0XGEq4+LYkkPLFXbNrW64olwSimvEhPZtGRMFjCLQIET95XLI3qVk9az9y1XOnEo1NjV6IVD6+MIW/IKjrph2vBBCcOZkmjsXSuabHCekAK1ohLAf4RcHw9Se/Z/9Djsf98A1u4D6JufB//zCUHkJIs18H4JUA0ePsuPXn4EIm9cuPPP5FF7+6sTL8749UKjeYTGZPjGOMYVq1L+f+O+vJh9fY4Pekaz5wad/7+XAYF1845rDh9uUotOuRTkI+j5LWhLPgv2f+Razr3kpqVtuSF7vWBZ7P/x5mJiEjm+YRa5L8VwKQz7LeXZfQh7AdBrGvKEfsaGohabFjXkOM5mQ5UrYIHCGz3kRe5+5PtIbJEe6yLz7/RQvPW/w/GnNZ8trR06oViq88bW/w1/83bvajkdKc6xYIdKa1YQ1PhjF2l6wpCHcDYph1ny9nDn6rbPrjlmdB11HUmtbxzQp/lKKHs7Vw43vSUrLUgo25T18RyKlaBAOVysBS6WgQaJzYym4WoP02B+ldTqIbtT0Ubck1EvNNO87XJRyG8TD4qt/H97x92snnkqT+e9Prytf2f/8d2DwPlQD+Q/+C5WXvQKFUTpNO5K0a6EbRB3BfLHGTMZDhJKbjq4Qakg7FmdNZxpP++J3r+X2+RIf/Me/5HMffi9aRTiux5s/8GnOOO+i3hkZopq1tgilNFtzPo4lGGsos5o61jk1DSKjtlufYlZjVdbOtmJJwWzOw41JuK5jsWnMZ7UcMF8MsC04uFLhWLGG3Hw6X731aE87pVFMbX6J/fv2DP6iLbjqu9/mlx7zuEYbUVr3tnsKGkToOprOlxovDgsfRobsLYUhZQUKAqXwbYFrmWONVOJC8i3JmdMZgkgRRJpAxf+uoZpeJ915tiEdRhpcKbGUSohm0k5ttSVI0VRTlyImFCtTDlYLqWwt2Alyk2EErtSEytiVwBCHfUcQBu2JOo6kXFONdU+S2rJnm2MpR1JukVROIhO3Ion0Opn1mMy6hJHCkpL5QpXJjIuUgijSjfrV79WTR5BmvVRKM1cw85BjqzW8cshk1sVv2RNInBu1vrNjMZtzOdoima4xfXmtHDUcoIJIY8fKwlJAxpM91fk7851Eeu5nD2klSye9g47zozRt3zDrSWbyLkLAkZUKtdDUPaV0m63RtZrOLPVnLJYD7lxoJ+yuVEJ+dmiFUx/3wB45bcddz3gmp/74h1iTMxxeNorsUhiCchQY8nEpCLlzobQuW5AtJXMd886jhYCfHFrlzKk00ymbxUqIjq+RwpCD63NdS8BszgVNg5QaTU5RvvRy0ld/HxH2X+soKSmefjbX2lM8Iu2QcRymUx6VUJl+KibYl2ohRwZwAFIaQqWYSjtrrt92zxc5ZzpHpM28rT4f8mNbVis5WGtNqDWL5Rq+I7l0W460I7Fl+/zLEmAhGPNtnnW/rXzymoMAnDHu8dlv3wHANbcc5SkPO4OFhRK5lE3ValfT/la1zDOtLO6AbFcR589eXWb2qY/E/fy3yLgWt8+Xu8j9obSwVbTmfKCem8//zl83jm3Je+xfbkYFuHSr2eO57nCB8zdluGuxQjlQnDmdIm1L0Jrb54qctyk30HuslMO2thfE5HrXElQCjS2N45odO7GFkZmQ1J3gRuTgEUYYYYQRRhhhhHsWRgThEUYYYYQW1EnCtcgYL+6zNc8fP/V1/N5n3nbSSMKuGnxD2lojRo8AzpvNGeWJMEJryHk2+kv/R/Hd70S9b3DP8Tr2vf4vybgWacdiW94niReyWmt/B8+W5H2bcc/BkSb82DBqaCYMnLlWh6pt069VVWc243DF6ePceNhsOu5brrIpm6w4k/fX3uQFs5Fy7cFVDq0OHz61FZMph/I6SDTb8x5Zz8J3JM5xsmonUg6lWtilsnDT0VW25X0mU+5AxvqNwJ75MqfNpBmxxn6+0WkILAeqESp0PGURRoMRFXtBaViqhIz7oyntvQFSCHbkUxSCsGfI03sjLtk+jmOZjbntE80wvzsm0mwd8wH42YElDq60h/IdNNzyWpDCbAJXA0XOsxpOMVOxekyhFpF2LRZKAcEA7U0IKNQUP9rXXx12kLZ7xlQqcUPAhHv0Y9U7g+bGdnKetDb3rdxbCOauC0Oop3aiV9jg9cKWFrNZjwMrw4dMrmMm6zKVcrGEUXo6YyrDdSMV4RH6YM8nv8Ypz3pU43enqln9305V2Y3CKY97YOJMc+pTH2XqUx9l8YnPZOWVrzshzz5ZuDud7jI3XTf0PTt+/Rns+2JTcXZYJ8Wjb38/ADMxUbj1bhFF7Hz+4wlmNnHww59tu2+94+1EyhAZBlk33t1oEJ0CRaRgNpPCtwP2LW/QnEs0/2krziTmXg8oNJ8oDRY94VMf/UAXQTiINAulGv38jPvZSCKVHFK+Z1qyqQAKMFeqsXvREDtsKTh3JtOog5HWNEWk66UkKBw6ROZnN6Eue4AhmiRxe1vgSPqO/ye2yQvSXnNdJeMOJp9ySbkW+xfMHKKVKFh/lbQTh2dPMPNsynoUaiHm9Q3Rq/53PRGFIdLolr89W/YMIb8WPFs0iJligM+dsq34nczFmRe/jOJF94WX9iHVX3gxmQ9+vPf5NTD54fcOfc/4x/6DDz/suSDg4aeNI6Voc37wHclU2omdAsGzLcIgohRE/OxQc862YyzFOdNZ/uwv/oo3vfmvEAh82yJSipVa0LVuqWPQrlQCExkbS0qOrtbQGjbnPKqhbvmeyakJDDmulcyqdRz1Lb7FswWTGQ/PkW0KiUKYOnzHXIGDq+3vUK5FpB2rob7Zikqo8Kwm0XL7jp3s2XV733e86MIsZzxsDJEW6LJmzw9WueLhD29T87RE7zl9uEY/VA0Vbky4qoaalCPaxrI6sTMJoYLTJjN4PQQl5lYrrFYiLAFSmnW6JVoIrAKiuP0orRFi7WgkoTJpOZZACHNfsdUhI9JYwpC/lTLRnupraKVU3N8IgjjEmSONgAeYuY4tu/tuAVSD7nwFHYNEOVbFrROyzd+qca61v7As0UK4T0Yy6VVgx+8znfOo99aWJbASr+9OsxWVIGS5GLBpPAU0++M6qqHiyHKF2bxPyu3+zs1RqDV9Qca3sYo1ImXKtRaasom0Jowj+CGazjQZz2Ii09v7qbMsepGUh3n/1jyXqyELCQ5ejm3ahohVhiOlKVRDKrUIpQ2h3e4gtdf/dnoop2558dOH2vu56wGXk7nmpsZvKWD3QonNOY9b5opdDgCDwJamHX7l9oXE8/PFgHOmNYuxI1w10sxmXAq1oG0skEJwdLWGgDZS7vzv/jHeK16ItbiAiJLtKpGQhOkcK3/yFh5zxhSnT6aMSnioEJjyU2gKtZDdC8nKyGdOGbvYXYvlhlBENVQslAKmMw61UPe061Qj3Yh+aEtBNe74hNCxI1wTlShqkL0zztrOmLmUw0TG4YItOaIg5Ls/aaoJZz2LpYUiKpdGA084Z5p/9TxqcfSS/yqt8ox009FmENTHJ6tYoHDV98nd74FcujVL3rc4Zdxj13wZ1xJ85F1f5MWxinCv1OtvXsiNM3/+/UyeXYuzJlNcsClLNVKxEr6gUFNEGr5713Lj/vm9zfqxbzUYmCBcSHCcFS0OLvUxzzihaDaPeYh4PFlj23KEEUYYYYQRRhhhhLsBIzbFCCOMMEIC7DiE2tbxFBc99Zd5SybN6z/6Z23XnMg17pve+wre/Ju9Q32C8W6/7eAq99s5wWnTGaphxO6FEtvGUlhCsHuxxNnT2cama8o2XX7dxp76rVdRCmroD7x/4HwJYNOTn8iR1RrFWsSWrE/GNaqElRbjcf0ZloCzprNIRFdYo3Kghtqcq0OjE4ll9ZCnUxmHs6dTfdOYTrvMldYm7aRdi/+7Y2FgpeN+mEw73DE/WEixrCu54rRxKqHaMKVa35Z9Q3kdWKmwVA44czq75kbFRmGpFDCe7h+6754KPfDW2C82en3ZUGmWyiFCQL6F0LjhDxrhHoVaFFEOI44Wkjec743Ykvd6bjABWFIS9QiHK4Yg1HSiHp4x51nsyKcRQjCVidg1X2Q6Yxxj6htEszmX1SHUMFO2xdd3La15Xdqx2jbq/Tg8aKsyWy5hsxLMxte47yae65kvxxAFyumwTWlIiOYco65SUu8UhDCbY/UQshKBZ0lcKfv34glSSEInb1zW0Zme+sJXKT3m4cO8YgMbTQ4GiLRKDCfciqxr4ViS5UpAyrHIeTaOFFhS4loSW7TP5yIFZ01nuH1ubTXInzsM2XQrLcS9kwWt+ys7rqf3SUqv74Z/NsveK39I9oP/wuTH/qPr+cd+6/coP/U568jJ2tgZK4D122Sd+MKnsBbnWXzT35yQPNybMWj9GHYKJlTnnG+4mjjzx68ifU2TUJ7UFzvHjrDzcQ9k7tdfSfHZhtzXRhAuFNj+gichq+UmCUUIwq3bWXrByyn90uBhfjufffejg660gXPkJpm7I9Fv/Qj6hOOuo6wU7yoscyA6vnn/WuW8FhlBaTPO9lX2jBFGus1ecXi1xjfvXASME3TQ8i6TaadJJL/qW5zy569rlNR0a5r5cfj2D3rn35IE6uSNFYPCsSx2TPosFGuUq93564zc0jrmpWy7YY8aFpFqJ/t2PsOEmzfK0UFkCDG2NETAur1pvW0zc9/7wbU3UywU4HlPh2PHjAPY695A5klPGzidRstpcQ7MepaZtw6Rn/q1CkBDsabIdMy1K4FZd3QqT3alJcwc2rPav4slJRO+x7jnNsnfnmTPYpmVSsAgfv4Zz2I23yRInurZrFYCqoGiGvZu/45lCH1S9CbJm7ZrVDo7ycGhUtx6ZLUnYa0aaWZSFmnXYrkcABrXtnAtyR3zRXaMpZhIOWgF73z/x7jfGTOJ6Tzg8jG2PmuCyIEQGk4S286e5I8+eRnn3erwoj/9CWDWSeVAURflt6RoI1P5tmjYUpPQ2v9EHZ4uhjScPLc0bUD1JAiPp11WK2UiDaYba/dcaHWMqMbKrClX9lVgl/Faq9KH0W9bRiyiHCkOLVXIeja2FMwXA7aO+3iO5PByBceShCpWII4dK5Jsx/X62HrGtQVBqLuccS3ZJAhLIbqEE+oIIm3m0GsMoFqbviX5uvUPvgJYLtWYj9fye+eLOJbEs0Wig3F9vt/5Nv0Iu3nfYbFkytyJVYOV1sytVNtJ3dBQ5j1etK7f67971fzW4xnfJlOLKLbYDCfSNuPpJmlZCIFtGfVgMGXkSbpsMEZNWBNpq+3YebM5apGifOTgcONFly1HsFAOKL3jDUx//itYkSJ0Lfa//s+wH/jLfZOSwhBvr9qzQjWKOHMqzUK520Ht9Jh4qzUcKwVsz7sc7YiMWLcHebakGiqWKiFuTJD3pidZfM+HmPiz1yFuvxURBsh4zqGEJLQdlqa2cNcfv40rzj+NMd/GEZDyLJRno5Tm2GqN62Mn4ZxntUV0SDsWtmXsBxaC2axLNVRtqsFzxQDXMgro2YQIHRdsyhPGkSRb+5zOriXSal3CA6urVT711ZsB2DyR5oLTpth/rMClZ82QG0sxmfOINHzxp4d51p9/gI++/rkAHIgivlwu8Rg/TUoOFxkm0JrpP/od5r7yY8DMqRwZce5MGscS3GdTlp99+ntc/LSHtN3X2bYXZrZy07s+DnEkr7OmU2g01TBiKuMwXwwoK+OMcenWLMeKATcc6bbVHB1A9bmRh4SBX9fn0mgETSL+eMpuOCwIRgThEUYYYYQRRhhhhHsihD6JMbIvu+wyffXVV5+0540wwggjHA+CyBhz51YrvPjt3+LaXXPMFA7zoR++o+H9fyLQasT7w994B+XUZN/rLSn422deyETabTMcNML6rIHiZfcBpfp6yddT2fN37+XiR19BOYxYqgTMpH1sach+tpSESlMMQu5abBrkz57O4Mhko7RlIhsNpeiklOLmuUJLGoK8Z7EYhwpcK1xVnUi8NgTfiDf/NgJTaZvVajQwIfrMyRQ5B7aPp9k5kaYYRG3lOgxsKfBtObBS63mzWSQbHwY5afNi85gXG4/uXVaja/YtcKiHqs4ITYz5NstrEBMn0w4yVhcQaBaKAcNsiXuWINK0KfUcLy7anF+XUtUI/aG1ZqUWsH95/Qqm9ySMp2wectr0GpuHmrlitUGqObBcZu+iMebbLRvEwyDtyDYSxvYxnzHPRWvNXcultjDOXqyq0zf8PGZDSiBwbMHtc2XumF97o+XMqRRL5RDfkXi2ZKEUsFQO27YOHnbqOHbCcLI17zHhDxeHfSPJlbZlwtSeaKxeet5Q5A/xnvcz8ZCHbIhjUieWKrWe6sHbx3zSjtWYrw2yKd6KYhBw1+LPjyr4WrAEnD+bH2r+mnIMuWk9Q9V6HOrAkPbXavvDYP9Kac0xfVBsy3uMD9kHJGHfcilRfaquHLxWLW6scT71dchkgO4+dqMwkbK7lP/qrJZEUoduz6NuPdjyV8aRzJU2Xlk95cg2dd+ZjMuYbwgH9aPLl5y3rrRzP7m58bfSmhuPDqYou/kVL8TbddtAfWq9fPa+/i/Rj3hMY0664/GXIzvsoKLjHqTk2O/+CfJJT6EwhBPbRMpmay699oXrQDEIOLBSaSMaAm2OuMZJxvTfIpboD9sUODWOZfWce5wxlUEiCLVi90Kp4RDZqrooMIqkW3PtDrnFw4fhCY/smX+lNW9bWeRT5eEcSj7++W9y0aWXtR278Wh/5fqZjMNspr/DcB1ePEkRoptIBN3zhR8dWOZH+4wa284Jn9Mn/Ma5up1h5jUvI33L9SbdjvTaCFLf/jGZbLbtvIQ110EbNR9aXzQfze5jg9kkNnLe1kkQTjky0ZnaEOiaRJU6uch3BGHUf714vPlNOYJy0N231NO1JA3CYzVUXH9khZ09VO77QQMfePeXAbhsW46cl2xrWws7xlLkvWa0reIdd8Czn9x9YTpN5rvXNH7WFWct0THBF0YRVgrBlnEfqwd5ar5QZaXcPWYllX+/+U82fu/JrCEy3350lV09HPJtCeMph0hpqkGEZckGoa2T9nSf2Rx1d4jztma70nrEL0+Se2J+DXlZzel3CH7zj67v+Z6eLVBKE6g4kpwtkcKQgPvN+TrLyYnrVacT4/ZJE8Wl8zu07gMeW6lSTLARurGabJI9xLUECt3oF23LKA/bUlCsRaRdSaTMe3S2t6RvXHfuVNooC0eR6QNb18mWBNeS1EJFUtF0qoynXUklUCjdPqdzLUMMRhjSa2v2WvuIlCNJexY530EpTakW4sdOlPUaE0aKlXKIY0lyqeSodb3QNedoOV4/FkRRQ7G9FZ19oRCwbTzVIPm2ppHg79p4cqg0lVpEyrMQLfOIYjXg6EqTOCiBzeM+nmMNlO+10C9//aCU4uBiGSklWd8in2oKTdTzVQlCDi6122h929gZpTCq1mGosC1BEKsnR0qDaO6dFC9dx7z2fpeRed+HEcC+X3kk47sO97x037Ofivr1NzR+pxzJciVitRZxYKnCfELfuCXnknIsjqxWmc167Fsqs3XMb4iA3H+7iRpZr+czGZdjxWTyZ6tztyVg+aZbsT/5MSYP3IlQGk4/nWse8iTmTjmbR50+wWzWZTLlGIK6Y5wrrj+8wpGVauPbtRKEhYDzpnNtdgRbws/6RByayToEoWYpXmMKzDq7tf93pCGptvaNWmt2LRSpDmi4lcJEkqwEiqtvPsw7Pn0D26YznH7WJo7GESMv2panEig8RzBfqDGV89gzV+Srv/uwZhkCfzU+xYNdH190i+H0w5EopPzVa8g4FpUwauvPrNjJPe/bVBaXmX7moxFR1GgnhVPO4Cdv+w+WKyHjKZttOY9v37WEFPC4sycpB4rP/Nvb+Mg/v72tYd3nQQ/iiX/8ga79oJ0TPq966Glr5lkpzZ6EsbV1bQAmegFasXk83SgTz9pYR8URRhhhhBFGGGGEEQaHEOIarfVlSedGCsIjjDDCCD1gSWOcnM75nDab5dpdcxzLbubxj3oLX/7aHwEnhtLYmubb/vXVXH3G/fngk17V8/qZrMtYbJBsNa4NqgKbufpGig+5FFHuT+zY81fvhAsuaRh2NufMpv5qNaBQDUHCTMZnqVxDA1fvX+HmuxYp1kL+9pkXknK6h5x+ajC9IIRg25jPoZUKvm0BukEOnkjZXQbGiZRDpHVjs2JxkPCwQvCNXRtHDgZjiFqqDL7BvGuhjGtLqpHgwHKFS7blhzKg1lEPabg6xOb2zUcLzGRctuT8E06SPLxc5dTp9L3OaCTvbRm+B6NTLWIq7RDb6dHahDwsJoQBBWOMFkKwEhuTt77gidjzc422EiaEmB7h5CDSikhrHNFUdgq1Yqlyzw/RPShK1Yjv3jnHRMrhgq3jPa4STGea5BHfsTh/U56VasB4yuWLN/XeQOpOqTkGWMJs3AKUaiGbsx5Ki7ZQvAApx2pstvRC2rH4xp2LQxPitKZLnWznuE+oNDsnvIYC2EZB6fWTqu8uyP/8JLzgWYNd7HrkH/TgE0IOhuTNGUsKzpxMY3c4cg2z0QWQcRxmMiHHCjWcvbuRK8tozyc49XS0e/wk0HsapBRDE30DtT5yMJjvlMiIOMnY2JnPxqTWqaYHQLE4MDG/3q9uf+FT2P8/XwNOnApsLdKJRJzjRcY9MWa9ThKPplu5a71o/WyDdjeZz/3PwORgaH7bHW/9E/Y+4jHA2sTxBvlFKWb+/s0UahUKT3zmgE88sVCaHqGqh6uxGtXTcUBiCBeWEEylHfbFDl1KtSst1kKNzLffm9uyGX5yM6uv/E347re70n5NrcxVQ5KDAYqrS3h2TFWPFcy2jXkNMm93/TFqdIOiHvWg53ylpXhLtYgbDjfJ7J3tebUSkn/HX/ckB3cdu+L+cO3NbeddR1CoRo0Q4yIhFSEM6S3pyyutUVpTXzqtx37QD5Uh+rCNjbjT/ibV0CiydubGzKFa6mpcTyqBxnfkCZ1Dat20bdVVbrXWjfl1vdmZSFrxPfG9g/Zr9beTwjjiZntE6hgErW2n+KD7QrWHA2epZEhzlz2AzL9+EDBiCr1ceiNMH9ILriVwLDO3EUJQjYmcqoPtLelN6BaY620pOLxSYaFYoxRGZFyLUhB1EcdzXrtIwKTTrD2tl27ONlWPNfDX73wfb3jVyxvnt29z1yYHAwjBnWdqrnzLU3ncH32m7ZTWhoxaaSGTa9ojsAzjqBQoQ8BrOFwL8/eR5QpSCKPKbEmyvo1tSSpBRKkWkfedxloyIfv0EnqvRRpLgm8JhBTUQkVVa5RliLmlWO3Tsbr7n85vDEbtt772qfdbEtryFimjQA/JfZprCbBEQxW+Tg4GQ5r0bYkQpu2lXJGoglwJNClHoLW5rhwo5gut69wAz5bkUhZzq+3rXyFM9DnZGEhEYj7rxzpJuw1HsJbjjiUTic+WEO0q3NrMhVspyklE3vb8CATakCJXYTrr4NkWbkwCTjkmSqAlBSnXaqhQdxJ7W9+ntUXojufNf+5zLH38v/DvewnbX/vatuu685YMS0q2T6Vpf3prOpojLQIOrmXesZ5+EClsKbAs46ChgWYTjMnBt9y0Ri564PrrKF5+MVGtxnjLO3VCAzs+8RkO7L8L7y/fz+HVGt+4c6nrupQtyLg2KUeyb7kaKwvDKeM+QsBYym70f/eZTTOVdplKuYRKc/t8gXIQMp5y2pRbNTDhO2Q9hyCKOLRaZbEcYJ11Fle94DWN6x6wPc8lGRsLQdqVpB07tn0LlkohhUrI4Q6hjNVqxOaciy1NZIbO+gCCtGP65iQoDUuVkKm0QyVUFGuRUYNu6QNsu11J2LMFkRKEAwifOdKQbhfLxpldAJffZws7ZvN84icHG+RggOsOmP2uqYzDjokUriVZqUSc+szXc9en3gqYkeP1S/O8MpvnhZl8whN7Y0xIdh8+zAVn7OiycZtptpnDZabG2feF76PQXL2/QLEW8eBT8uy0JdC0rVy2PUfKlvzk6h/wxhc/LfGZN151FTc+6RzOe9zTeORv/DVgbGovvt/2NfOrtWYpIfpmkrNHJVD4Har+I4wwwggjjDDCCCPcMzEiCI8wwggjDIBCB6HpsS0kYThxRGENXLbrxyx980N85hEvSrzu8EqVXUcLnLUpN/QzbEtwYLnE2Ld/xHypRupxV+B1bNwFL3k5B577sq57l8oBUymPPfNl/ubLt/Gc+29jx3SGrCOphJrLto9xwXSKuUrE52+d49yZDBd25NGxDJF5GLUWIQRjroM3Idi7WKbOoxlP2Q2isGsJtNZMZlyOxMaeiZSD0npNfoVvS76/p78q0Xqwb6nCKeM+YWRUnfYu9VfQrG8S3DRnPLW3jvtrG02FIa2ESpP3bBxLUA3VUOTgOo4VayxXAs6dyZ1wkvCBxRLbJtL3KkPSvSen9z4slIKuuu7bkqxnEanYIaBQYNvLn41cXgQhyEcRrduj9e9TDzEd+Rn2f/rrJ+kNRgDzDcpBxJFqlZm0S6AUh1aqBCdgY37bmB+HDFUnVdm7pjS1Skjed1gu1wgixXTLxnIS6kSuybRHr62wMd8m49qESrFQCjh3NocQsClnNoUcKbhm3xJHCuZdx1Mu+5crHClUu1JM2ojteo9ID0UOnk47zJUCMp7Vpuxyn00ZplK2ITOeAJSCkOVKwGzWH9gJqhdOVh+eOe8+FN/9fvjtl/a/0E+R+f61SCnwjJxzg8QmMBsuxzsUt76zYwnGfJuVSohnW8c9zutajakv/C/ev7/PkIMtC6E1aM3qY5/MyjNfQDSz6fgecg/CxsdY6I+68uDdrmzfo+Hk/uejjH38g8hSAYQk2H4Kx/7gzwhPP+u4H6kWF6j989tRd9wBAuQZZ+G+4tXICRNhJakn2P6Spw/9HKtUWPui48SJ63fuRvK460Jt8BC1ALyksz8crGSm3vv3wz2nJWV3923kXvMbQxPHs//0NuYf/ljIdqtIJuHup/GvjbWcHKOY7TOd8TiwUmEi7RKEimrUdDbSAq4/krxenn3rO5hJ+13HL/m7v+Kqf3jL0Pl90MMf3eI4Y8KcL5XCns6DAJ4lSQ9p7e41PW2dRpXDqG2+FEaaf3z9K7jz5p8xu+0U/ugf/o3NXzJkwEHbe/HFzyXzwY8b+wWGBH5rHC3pjMk0vt39IppuAn8r6gSvWqSIVG9lXK2HV3bzHYuJjMPiQBGZNhLtH8i2BLUBHKosS2Bp869eYwwVwsyPOqfOukXp3YiPNgvNELLr9zdpbmvZturT2PK5FzYI5YNAAOL8C/mNy7a3kBGhnWpnYAnw3VjdVMdUOa1RaI4sG2f7UEHxwZf2JgfHUFqjfvxD9j7vV5j58MdI292O+XVMZpy+FSvjOwSRZrkcAhopjPJgGBkSd4P8H6vGdpZlXYE5iAwR1BKQdR2yrgNpQ2haqNQ4ulpFYRyKLWmiFlVCxVlTGSYzLt+4Y66Rpi0FloSZjNfWFzztWc/jh9/5Bp/5748C8IBnzTBMzb9mehdPsYy6bilQRvk6UD3LzrUEMibdppyW2WYbg1Lj2wAyJgkaYryQEISmPGu62WcaP9GIYi1kJuexUg4p1aIG2d+OFYhtaWyoStO3bc1kXVKejUSzd77cWJ/YUjTIwdBC9hX18hU920UXkRhwe9zjtdSRepkFEYQxgdizuyPp1Z1iXFsQ9VlDCmGUnHvlsxoqqqvNc3VHgMVijaWSIOvb5HzHRMpLuD/pWKR1rKLc2WYE2ydSzK0aAY58yibl2iyXatBi3x1L2/gtjgK9nA46n12POGQJWCgGbB03Y01bm4t0HO2tHSrOc6jjKESiSaqvY7VQ4K4LLmxjmpe//W0W3/FOAGbf8hZmf/UFjfv6kYSblOBWym/72y2XathSEimFZ5s+wpKmHtXfx7Gb5HDHEqjOurD9lB45WAM1843q+tK9UH+Pbd//GV/5/lUcnDy77fw50ynOmEqjtaYSRORThpx7zkyG08d9CmHE3qUK+5arTKQkp417ps45duyAIjh7OguYttwZnWMy5aC1plCLWCwH8TGbvGexEtepH+1fYVveZceYx33Hx8g4FtVQU4sXoa39Y8qWZGIb7VI54KypXNt5KWg4f4ynnESC8FTaZj6eT8yXAhxp+uy7FoqcMZXFsY0TSbmmGhEBWuc0thTJzqIYlXnPksyXgrYokxoo1CLGxnxe/ojTObxY5iM/2Nd273wxYCrjcvtSkfO35Dj9cc9gvPhjfvrlrzUqar5HpMx+cIXgtc94KB/5/h09r1muhExnDOVfInjAthyWJZDHjrLp156FrJnxOpqY5PDHv8Se237akxzcipuv/DRoxSN/8604UjSEhvqhGtSV0ptqwV6PPtJ3JNO5JnnZqD6v+YgRRhhhhBFGGGGEEe4GCD3ApvFG4bLLLtNXX331SXveCCOMMMLxIFRNlY9Hv/EL3Lhvqeua11z3cR5/7GdtRqCNXv/We+lXvvrDXefG0w732ZLjOZftIOcPF9YMTMjMOxeK1CLdUKzI+zabsz4CowB5x3wJKSDjWo0QnHV4lqRQDVksBWQ8m7RnYQnBaZMppjMed84VuXOxzJW3LXDfrTkecspE+/2x4U7QrhyxNhKMXWmHchC1GSrSjkWoFLVIM5FyGkawfkg7Fl+4dX7AfKwPtoTpjMvh1cE31M+Y9DllvHuztRWtob02EmdNZ/Ckddyb3v2I4BNpm/GMy72FevuzA0vsW/rFCae+XtTDOa8HreHv6pD7d7H9Zc9fW5GrAxpQlsW+L3x/oGdftDl/9xOx7uUwxFQT9q9fmNRBkPNsVqshaUdy4dYxFksBdy2UOHsmg2NJto2nAEGkFHctFLnlSOFuI+lcccYUed8d8GrN52/sVhB+4M4JZrL9+/vbjq5w27FkJT5LGFUu15KUgmhN1dJdC2X2Lg1GrM44kvtuyzOVtjlaqHK0ELJrocwDd+RJO4PTJrfmPSb84ZRlj5UqHC3UyHs2p4ynuwgcw8CxmhvXJwvF334p/KCjD7Is+Nz/kdm8GTDj5OZxn84e7ehKmWL1+DqlShSyFM+DVqtho11mXYvTJjMIvT6RWr26SuU3X4K6606odBNMtG2jXY/Df/PP1M5aR9jWeyA8W3Dm5HCOeZ1h6vvBtQwpoq6eZglD/hjWv8K3ZU+l0PXgwGqJpZbQt+mvfYmZv/1z6Niur2czyuXZ/6H/hVQ3uXJb3me8T1+pCgUqL3sh+rZbEs+Lc87Df/+H2V3RXe+4lkpsEjSw58ofAscfZr4XTtQ8fTrTrox4otAZjh6gWCgYFdQhkOlQTJUSru8TehiAIGDnkx+6rlWCBpS0kKoZTn6Ye0uXP4xjf/Z3A12f9yzOnu7uG4RoIe1oQ7BtPKDtwh7HgCOFCvvWcDBNgmsJto2lyDg2Eti1WOypZH3xlnxbPxWh2L9U7gpLbPUhZIz7Ntvz6cR52PlbByNat+Kmg+3kfUvAdQnk5E2//QK8O+9ofF8BiJe8lMyrXjvQnNC2ukll9XTqR48Vq/zX9Uc4fOt1/M8fPbfrWgf45qbtuEMyIiavu4UgMn28bcHPDpn3O3s6g5NAQOnXR1kdBDchjO0hac5jS8FExiE7kB2pvWxqoeLAYv/62KmSupEYNgoVGHtTP+Kj70h0rEA6KFKOoNzyjoOOH7KFZL/zcQ8EBu+bOvvQtbBzKoWU9Tm6plKLOLRcxbUEpaOHqT7mEQOlU9WKr1VK/OnyIm98+/v41ec8L3HeeNpMXeWzPwrlgGOFpj2sTrYETS3UeB1zGM+WsTp286GuJbCtdmJqHaGKuGOhRKQ0EymbrblUTMQXeI7g2gPLjbTOn82SjiOe1Yn1YNqTY0u+cuWX+K0XPYsnvX3ncIwnrfn9c/6V2Yse3Kau2wkrJkO3kof9DiJsEjrbwVr3CEzdi7Rp/0obUrZSOu7sBBrdiNpSixSOJQlixdWMZzGecrFju3AYKfYtlHGkcd/opfi8Y9I3KqHFIHH8SeorZDxudq73WttYr/ZmSXN/Ur+XitXXW8vJt42adSVQyHgd3c9+4dkCpTStj57OuoaM34GkYV1rTaTMf4eXK7iWJJ+yyXT0xUn3zq1WWe2wr22b8HFta01SsElPs1wKWCoGiJjAqYGZnIsUhji8Gke+y3oWGc/Cc1ocgLWmUAlZKAVESrMp7xFGRnF5Nu8hhGD1299mzwt+NbnwWuDd71LO+vSnu96133t0l4nm4GKlsZ+RdiVB1OwnHEuQ9UzZrFQihNDYUlKL67QUglArbGGiw6zc97wTbpHWQM0RfOPfv86h1Rrb8i733ZqjWIvMnFUbVd7plMWZ01kmUg4px0IImC8EBDriy7fNM5VxSNkSAWzN+4x5NkKYtmlLwZFChcOFZBvPmG8ERZYrIaHCRIUUAtcSZFwLJ3a+35H3yXpuPJcQhErx00MrDQeG1vbXakO1JOyaL3LmdJajhSqHVytd9XEq7SDojkhVx5a8x6TvkYm/aX1d3GqnXa0FHFxuCseAEYephqqnYnEnVKT4xI8PsH+xzLYJn+0TKdBwy+HV2JGlJc/uC7nlC0vc9e1V3pKZ5JH+cEInWmsecOQAn7vhEJVQkXIsqpEyfXAL6ms7z5LccdV1PORNL22sbTvL8d0ri3xgCEfX3//cLTzk1Akef+7smteulgMWSzUiZeanljDz/9alt8DsTeZTDlIaFyrXGpGDRxhhhBFGGGGEEe5uCCGu0VpflnRupCA8wggjjNAD9fV5LYzYfWQ18Zq3X/Rc3o7ZHDpzbhfv+tm/tamKbcR6uG4AePC1X+b7lz627dwTLtjEY87bvO60i7WQYq2dPLRSCVmpNI0L02mXuVKN1WrUc1NbWpJyqCiHxlv/0EqNY4UAASzEBpXWsijecQe84BkUg9gQNLOZ6a9/i7V0lwRQCELuWix1nVsoBSa0XAvqBqGsZ9Fbp6PjGSfBiBGqZkjEQcNc7lqocM5Muu+G04kKmXn7XJHptMO2fPqEPWOxFBIpmMrde0jCI2wspDDGXIGpy0uxckKd9LLpV5+MP3cUGL6GCEBGEVN/+Arm/+af17z+eKp5ndhV38A8gZFs79HQ2iigJb3+sKS1h5w+FasaGYWamazH2bNGHaUVlpScMZ1jOuPxnTs3ztHDkibPp09lyfs2vm3h2CZEqyUECti/WOLQSoX0cYZ6t6QgvwZRI1K6bUPdlkaZKufZlIOIWmQcY2q9YsO2wLPlwOTgev5yrsAWgiOFkEMr1Vip7sT220prFuPNo5VqyK75ImfPZLHjjc1Q3fPbWubd71/zml6tYjafTBhXSrNnfm1nle0TPrYl+cJN3YT0Qi1qkPNmsy5TaRfXkgORWbXWVF71m6hdd0CQ7PQkwhARhmz+w1dw4L0f+7lQErbEidMQTjmmfzxex4oTgdZWnrnys0y//a+6jrf+tlZX2Pmsx7Lnk/8HqdTAz1GFAuVfehCEvR2M9K03U37sw9Ef/Rx4mYHT/nlEzrOZTJn5s2gZdXXjd5ONWo1Ug2wTas2B5cEJp0k1MpPNUpyYhMWFgdMpvvUvyLz+jY3fg4jOO9dfO3D6SRDrIAfXr0//8LsDX69YWzl0vRBr5N6zJTnPZq7Y3hdnXduofWoTFrmfyv/+5TKeZTVqjdKqixy8FlxL9lx1Z3N5CquDR+q5/IpHdB3rJGJM/slryF19VfN8/K8G+MD7KXzg/fDu95O5/MHdadWvF6Aio8RZ/10vbxE7aNyxUGT3Ypm7vvIhvvgvb03M74WuR03roQjCGkNItEQcmlu3n0tEn+Qj3V4HbSnaCJXtz9YsFmsDEIQ186s1ViohYymbtGudMJtAL/RTlxwUthTkszZCGHXFYjVCxz0lmPl1LdJDrVM685RULK3Ke0lYefAjyH//mwlh2buR/uVH40gYpJuxJWwa8zuUhuHoqpn31yI9MDkYwBOSR3pp3iqW+IvXvJwffu1K3v1vH1r3fCWbchCCRnj3Bqk9/q/+DRxLYAmR+E1qke6pii6FIO1ItuVTONKQj2uRcRIsVxUzGY+DK5X4GVZbu/FjMnIt0thac8WjHsun/uGP+Q8+MvR7Xv/ld/Koix5MNVA9Ca2O1a2Uu5agj2t3v3elzzPA9GeRNu+n0YQhHaRl80zfMSSwen8+k/OoRYqs77SNIbYl2ZR3ObJSo1cLzbgS2zLaqjN5SS6IWC4FlOO8VkOV6EigtBnXgkg1Vbox9cSW9FUkjpRxxElyJOgkF9dVSev5jzRYaNKuIVv36uo6H90rak8n6VUD5VrEkZaoR5VQUVmtscWSpByrcV1nn6CByazLeNr02UIIamGEY8m2Z7Wite+MlObgUrnRH6VanEmOrdZwYnu6sWdBoRpRqEak3ZBNY6mYQy7IphxsW3J4qdL2HovFGhnPGogcDFC95lru+JM/Jf8Hr2ci68bv0a1G3IrWWW6kjMNDtaVv0Nq0p5xvk085VIKIQiVAKZN0NVIcWCmzXDHOsq4lcGIHoZxvk24ptxMFAbiBZrkScsakz1lTaYq1CMcSlKoRhxbLXHLKOOMpG0cKMr6NijRaa3wHHGWxNe/h2SYiUKSgGITMlWrsGPNxpVGHn8l4TKVdlisB++O+bjLtUAlUl4hDJlaKdiyBVopiCKeMp0g5TmO8DyLNXKnCdMZhtRJS7ej7bzm2yqkTaY4Vq43ojj87tJxYBuMpm/lSwJjf23Z2aKWKRODbfs9xZtx3yLlOg7xcCSMOr1aGio4lLclLHrqTb958lCvOnTEkbWVEdHK+zfX7VxpO1sHR53Cfp36S+zx1ioe+LYIhHZWM0LNxQDi0UuOWuRLjvs1l27JtDjdBqLCA973v87zxE38ONOtkZ9389ewYWWnxrkJyWXfiy296Fn/1o+TIBZ1vI0WTkB1GECa0TCGIxV4MnBE5eIQRRhhhhBFGGOEejxFBeIQRRhhhDVx9+1wj/FY/3DF9Bn/72g9TkBZ//rbnb3j44Wd/9z+7CMLVdaqCKa1ZqQUDbQoXg+HUP6uhYm+LsmraFpy/KWOM0Tf8hMqLnt9907HDzF14DkhJ5uobE9O1JBxcKff0LgdIuxa1cnd+CzGxeRA105O12aWUMbwO87xjxYBsQog3MAY2KXobyY8Xc6WApfIy5286ccqqK5WQci1k2+RwXvh3B+ohDEfYOEymnK72PVcM2PLSX8E9sLdx7HhqRuZnVzMIbVQPtEXbjcYmVGzdFcThC5XGdWQjpOEvAspRZBTzErq4C7fkcWzJfLHGrUe71S4efOokOd9GIFiuBNjSbBU3u4X+32Ys5fCgUyc5uFxm72J53YQCW8KWfIqLto7Fz25/btZrjvTnbMpzzqbcmnnrhMBscNY3WydSDp7dO1xhLVIcXa00FPFPm0pz9kwOx5LsXyzx04ODbQyAUcz/yh2Dk7rAbKpJKVmtBkgB5Xge8rNDRS7enD1hmwFL1RqR1oZ8rzQzWYcgVITxA+sRCQbHRlBNNh6bch7JdagH+UFC2pFYliGW1yLF/GqtQTROOZJNY74ZUweQXD5aqHE0Jp8b0rnV2FgfTzlMp922OYC65seo227pSQ5ue4Nalfx/f5jF337tmtfe02Ft4CS/rvgthCGzVEJ1XOrYJwVR1JMc3AoB6Chk6++8kIPv/2TbuX6vWB5UkbZYZPqVL+XAv368PW3bQYTrV9S9pxd/JzzLGpi0breokWqtyM1kWSib9iuFYMxziLRhURwrVilUwwaZTooe5J+vfY/ig+67Zoj6Bj7xUYpPeyaZc88HwJGSCzfn2btkHEBLQcTWnM9KtfkNLXE3zp+GaJBrkXhPJHKexVyx1phXpP7pbUx87pMIoDXegPPYJ8Pv/kliGiYE83GqUfcpgh/denAoFeF///jnu461kuam/vAVZH92deJj237/9kspvv8jZO57v/a04v/qjb59eafj5ykWyiG734JT9QABAABJREFUF8tce+NdPcnBAGPrdB65ocMZPe1YpFzJciVA64Ax3zhQ2rEKbKkaDbxWDiLdc8ZTd1ZeKdfIeDZBqGIFU8142o2foTm8VGnYGJbLYZeiXi9s5FimaVf4rYW6jcQ5CMIIcinXONqtVFrsJu33mz5wMIiO0pWChrIiGDJiEGkcS8RkbUXndHXxTX+DiInuvRQ0AfyHXcHmd/8rkVIUq5EhMPV5901jRlW0CUNAPx5bTgQ81PP5aqXMVz73Ka780nN4whOf1KbGuloOYiXVteto2rPxK2Hb/fU3kqIZyjzoNzL3eIwUktPGM22K2kCDHJl2mmVTDsI2te5KB+HQtQTl0ioML4JOGFZi8qix1fmOIb1C7FChSVT9rYaGvNirfvu2xUTG4fBylamsUfg8tFihFqmGWrFrCaQwpDQrluQNIkWk9RrzN6MeXLdpHA2q7Jwx0Vu01m39jy3jZ8TZdC3BbN7DsZtkz0a6QpBybVKuzXKpxkKP6AdjKZtaqHBsyWTW4VDszKqBtGNcn8prqJPb0pA+mwTgdlQChWsZFeRO1CKQ0jif+rZEiLrTjDmWpDJeqIaMpXtHxmjcoTWlWnIfWg0ifKfdDlC3SjXbhcCymu5gqR7OyW3OMvVjAmayHodXKigNTodqtS1byjWK313W+3LjTlGH71j4HWT05XLIwcsu6VECyah88D+wXv06igsVdkz42Lakf+3UFKoh1UCxEo9FblweYaQb+akFCrSiFBgl2TvmiwSR7oq6UScJSynM8T99Gzv//HXrtAYOh1KgcG1JqBSOFKyWAt719TsBuGuuyFmbspy/Lc9cqcpKxSj8Tqdd5opVNEbNtfVd8r7FsWKNrGuRdR1ynkU5gDHfJVCaI4UqkdJ9lXXzniHunjebRdLt8LUp63Ndj6gftUizUgkQCLKu1dPBbDrtNAi8y5WQ8ZTNSiVEaWMTVrHjTsqRTKfdeG2sE+c99XlbGDs0gODUiWxjrV4JIxbLAceK/W0VlVBx+VnTjf7WlvD0+21jtRrysLOn+ffv3MXhlSor40/ict/hp5WPcWALnLqvb7Jt0FozryK23/ehfG3XYuP4ciUk49mUalFjf+j7uxb40vVH+KcOcnASUlLy7HSWPVHA58rdYjqduOEnNwy81h1kuyrjNfssSwzm+DnCCCOMMMIII4wwwt2LEUF4hBFGGKEH6mvas7eN4TmSag/i5WTWa1wsLMFSJUIJiRxiY2EQyIQdls/97BBZz+YRZ68dGqgOpRWHC9UGuWgtlAPFZNqhFg6vIATGCDybtpn+wTep/Pnr18iconjpeUzfcKsh/sRFaFuCW46t9A33mHYk+5aqbM65PcOm9lJ1aL9mzUs2BDnP6kt2TsKP96/ypHOn2t7PtYxq5PyQaa0HoYbrDq9w2mSarGOfkLIKFOxbKLF9MoU8gQp9I9zzEChNyjEh8uoG463PfwLOgqH0Hq+dsXH/4cOwef3K6/3Q2SQ0zU3Iex3j6DigtO6ruPPjfUvYEh59zia2jvl8e9cckTIbAo4lmEy7DdmJqYy3jhwIpjIeUxmXvG9TqEbsXljbWF7ffMu6FqdPZzhlYrAQue0pDJfPx567CSFEX0W/Viil2T1fJOOaMJPnzORiVSawrO40WkkKYDb4VLzBcs2BFVwp8DrvE+1vIhCUQ0NwiCLN1+5YIGVLLtqS40CsGlQNFftWqpw27raEMW59cJLKWus8qbmN2boJWj867jmMx6HtA6WwpYzHdJPwsONFGOmBQvceL8ZSNmnPinU8TV6roeq5IT78sCfYNN5UZnUdSdY3SpEa2lTVhu2CQqUb6j9gSHuHVipsy/uM+Y4hs37w/VAZjBQowpDcVz7P0kt/B+0lKyLfW2CtgwkvMOQmgVHwsqTZzK4GiqhB/rhnDxQybpGT7/k7YLAeTwDOgX1QLg+kIly89Lyh8mTv3Y08ehg12xzX9733w+x86XMHTkMDqrXfOkGf4Z72dYWQWMBMur092rGb6/Z8uu14khJfA4OSg+t4wbPgmpsaP5WCU8bSRjkydgTJuk1V0+BhD2NtN4TeUEBv15t7BzxLMp2pk+4MdUXrpkvbVNpjU8YnqBSpPfj+iURDDWS//DkyX/4cez/5NcgOz3a7aHMeAfysB0EkqaIXP/hv8I6/B+DHm3egtKaqNTomHJW14iuVEv+8ukwNsGyb6/curZl8L3JwIl76q3DtzYNc2YZCTfGx64z6/ode8Zi+15b0oDGL+qMURG0EnjqxZTbrslgKUFpz7kx+4PR6+QiZ8ciELJ8vtM9LyjVDMjREvPXNlaIN9napBIqMKxFx1ApBPB4PSBDWuqlQm085QJD4bkFEXxXWfuh1Tz3kfV0dt1P9deEv384CsPW5T8BZmm8np01Nkf3qd5ECjqxUSbnSOOlFZu1cvzaIFI4lqYUKIcG12yeV84Vag1C3XnhCsEk2t5J+5yXP5qaDhbbymisEOLaMiY7N9ywcPky2Yw0uhCDtWl3z8ZRr3qPfN6gTiAW9x6coJsQmnbfjtZctDQk354lEJdtapJnKOFzx3N/m45//TM/89EL23KdRjSJStim3SqCwBTi2aKhW93xH2bt+u7ZESsnWiebcaudMc9wuVUOOrtQa9aPW1juZdVCvtDunuQrYv1AyZGnbwhKxem2k2ojcdX9araFSi/D7RNaxW9a+ljQOEJ4tmcy6bUTAIA5pIoVpN6X4G3m2RMq60meyqmWkTV/m2ZIgVG2RWnxHEindIO53QZuxtpUs7tm9Cdu1UDO/WmUy6yKFSByDldYcXq70XH+ulkPGUk7XB6hFikotIu1aWFazzfeqOUnnBOabea7F5jHf9EOOxVja4dCSmcNVAt2IhlUJVePdBcSRnNrT9N2m8rYlwHMsisUiw6J4xx1kzzyTo6s10q6M1UiTyKCKlUrIYjHAtwUZ16i9iziDni0BTag0QhiRi9vnim2iHHPFgKm002Y/L9SMKvWYb7P8oIdTOe10/N13nnCS8ON2+FQdF0cK/vErd1CsRWzKe2wZ8/nRXUtUQsV8MeCCHWNUQkXKsViuBBQDhW+Z/GaUGVfqEdjAEE4v3Oy1keg353xmMh6RUixXuh30wexRLJYCcq6F0CLx5YWA+2zKcdtcAVtIyi0hhybSNodbolw5UhAoTda1OG0yQ6kWkvVsaqHm5mNNx6ilckgqbo8LLftUtuWyXA2YLwWUgohTx1P4dnuf0lrP6305NB1hHGkxm7GYzfi4tqAaKpYqAUdWK4ndnwAmUzbL1YjVqinPmtL82sNOpVgNuetYkW0T/4/Hb3otHyg/gV//xwNDrS8+VSzwlD/5l8bvtCN53kVbSDkWWmvKUUg11BzNlPnDH/x7I09rISUlv5Ud5/Pl0oauN9OeDYX+K7BWe9M9XOdlhBFGGGGEEUYYYYQYI4LwCCOMMEIPWBKiCKbzPvc9bYof3Has7bxjSbZOpXnIw85mW9bhs9ccYF/FLMXf/fhX8qovvuOE57EWaT541V7uu328r1pBHZFW3LVYGiq0O8BCKUCI9W+UCCHI/vnrBzawzV14Lrlrb8KxIFRw3aHlvkaOlGPxf3csUI002/IuZ0+3b2hnPQvXkhSraxOcE43DJwBLlbBhMBsGV946z+POaZKEXVueFHJwK3YvlMj7NqdNZAhPQAjsSMFiIWAql2wYHuHnEysVE7BsImUbgvANP90wcnArxv7zfSz//hvXvnAd6Nce7mnEoBMLTaEa9N24ChXMF6psyqd41FmzBEqRduwNVg8X7JzMEinFqVNpfrRngWKLglDakQ3lFjQ84sxpds0XOW82d9Ks2/aQUqS+Y/GwM2YSz23Jp4Clxm8BPOrsTV3XKa35yi1HOG82M9Szk3D5jiZBpa5EFw0wLlRDxc0ryZtTw8K3JWdOZoeao2jMBr0U4J1Ade+MZ+N1KEF5ju5JEK6FRlls/YhJM8l7escNDexfqbB/pULKlmy69urhJAKlxL3zdqrnXXgCcnfyMCihvxVSiHZCwAmYP51wxK+dvfJzQ986+e6/Y2GNsbd4+cXryRWT//ZO5t7w180D207rq8KYhH3v++i6nj0UThTx+GTInPVBsbCOvjyh32gsiRLahpNOUzNMoOGfBQSnnY61+8513XtPQS1SbUpxndg+lsKRkuKlRoE7qUq0Htv5rEcx//WrDXmUmPwDbQ7BOa99/HKkUbvs131pDMGojsXLL4UORTMpBKmWeVYGyfPSOZ6Xzhky949uoBQGoJvq6mnbwraMXuvmrIf1hEf2fM9eKH7z62Qe8UtD3NHuYKyj/mvuG4IazhAZqqc8kXJwLcFCKehrG6gr/DsJDmH94NqSMNJdkYv6dUnVUKG0ccjqN5/vixPQ56m4nq6LtBzXOSmFIb0A5aCaeKkJ5W7ovEppAmXIZ8frWFYvkl7muIMf/yIAZ06lyTh24zopzTxbKEN4rE9DOsuhEeUowewVdjzUtyXDUvkUmhCNBTzI8znNciheeh5Fz8f9xvfwUmmUhkNLVVJH9jL3+McmpiPG8tznhhvQWidGa6uF3UrLjXw7AqUM6br+/q4tGuuAvG+c8yKlqdQiSrXI9DmOmRwrpQlC45xw/kzO5EcYcnDKMcTkeh+ntEYLxZGiYkVMk1uB1XwCUzIJWpMuwvgTntHlNBtqCOPndXaorUqZlUDhWKLpcBzDtYyDSBCr7LaUbEs5WY36ltQUK0FTaTgh610IIvPcXtH10q4kiIy694GlCmlXYlsCKYxTZ6TMe9XCCMcyZMAtYx6uY8X1OblMj63W8GyzxmwlcLdGjrESeNSt71ANFbYUWEITRKYPDZQijICYaN/alnqtKZNMxbZstueJjEMs1NzMR8f1fp9+JJuyGzbz1n53tRywXA5xLcF42iHl2Q3Cbyua7rbdpdmaj9a1qW1JNuU9lko1QkVbNCwAR9IzwlvOd8h6TfuNJQXHuq4aAL/xIrzvXEUlUFRDRaEaMZVxqZN9lTbOla3q9dVQ41iglXGSrkS64XxsW4Lb5gqJSrnjKZuVarejRKgMsXY643DkPR9j6s9+n+wPvptItN6oaXfViR30hKASRFyyY4ybD61wJHbAvvNYkbRnE0QazxJESmFbNmOexUo14kgLcXM64yAxRPqxlEMUaQqB2XOQUqC1RAiBIyUZx6KYqCJs+shyqLj52Cpjvs3mrI8UovGNHSkJI8XZU6bvrJuyVqoBlY40LSk4fSqNb9mESuPbNmFk5ombch7lIDLKyCSP6QvFGsdaPsCuhRI5zyYdR1UUwFSqKSagMGr9YWQI4q39br1NCwQTvsuE72JbgjBSHCvVCKIIpc18s1ALu+ZLgdK4jsWDzpwiiDTFWsTrf/3rHP37s9BSrmnD1LFj3IeV4uXxsR1jHhdvyePHfbgQgrTtkLbhkedsovjDb/RNsxNpIbi/6/GjWvK8Zj0QIrl/bUWrM9JIPXiEEUYYYYQRRhjh3oERQXiEEUYYoQdajXJvffED+I//u5UPfuMOPEfyK0+6iAiBiFe/BwoBT75sO1/+6QFqoeb2sy4DNs5wBHAwv4kLrvs6Zx64gysf9Gwq4+ONc4dWKswXa3z++kM86aIt+LbFD3fP85SLtzVIDNUo4s6F4rpUX+sh49KOta7NmJlXvwQYoiy0ZrWwSmC5DXXCXrCl4Iu3zjd+z2bbidJNdYBkQ3Y9TKmIjV5fbwn1dCKxWA7ZnHM5vJrsje1YgvNnM+xZrDSUAMBsJqxUIzZlHaIOdb+TiZVKyPWHlzl/Nn9CQmGvVEJqkTLqFiM39F8INHghcRez47W/CWw850UuL21wik30awsny/ng7sZE2jYqpimHpVKNuaLpw7OeQ9632TqWYs9CiYm0w0zWGPRd28LF4kSxpywpybiS+2weY9d8kXNmsvz0wBJZz+Z+O3KMpZyGKs55m/LrJ0Lcw9Cv64xOgAS8FGbMXa2GA4d73ijUFe6GdWRSsbJUvxC+Gw0hYNuEb5Scm0ex4hC99xaUQ4Wu1Ybqo7UQiOrGbVrdXVgPhbtfFIx7G0QYDD02u3fdsfZFteE1YgXg7rqt6/jef3w/O3/3pX3XYg2iVn4ctp3WTPMEtcMTF6Xkbq5br3v1um4r/uD7ZC5/8MDX2y9+KeF/vG+oZ2iMOvSR93yMnY974JA5jJ1JLrp06PtOBNb6yrccW2XL0x41UFr1ec744x/C/s98u+2cLc1cXApY7XCuvWhzJpEg1Yn6eFr8pQd1kYN75qlO3gTUAy+k9O1r26LtnDGZJicdbCnYPpbi2Mo61uy/9ztw7U1GiTJmtdQdp+tOYzJ2sHFsE0GqPrcfRBWxqDVfLZd4fCqDPWBHEoxPsVgO2JTzOHMqS6gUxcCE2t6c9aiEiluPFRrf37MFsxmvQZgj5nIJDBknipUTW1FXF6wr9A063wkis34RgB1P0x1rCGesE9A1lQOj9OjZAqXpIk72Q51UVIfTx0mv0hizNVIYJcQTHXWijjMm03iW3UaQjZSZu/uOJFQaL3Ym6+Xg5na9m27L/3od/yMNZ9sOX53dhsQos2utEdUKtQffjxrg/venqf3K03qSjzWgl1e4fscpLH/gv9h20YW0E1uNXc7R3aQx2zLzqc66VQs1tjTCAFnfwnPMdlfWdyjXQg4vd889k2xMgWpGwNFasX+l0lCRBDhv72Z+dMHh/oXUgrPuNM6Yh1YrXLAp16VQXA0j9i2XEcLYWk30joAd4z4py7yDIwVWC0GvHqVnvhhAMcCxBLM5D8duJ6kFA4hClGLl1Fpk9NyzseJvr+7L6sEUcy1hImK0nCrXFMulwHwvDHG4856sb/dVGQZN1pWUgqhnfyIF3HDgKPlslpmsR9qxcaRIIM+bdVcqJv53ko2NzduQUcdSNtWo1uaT1KvNbJ9Mt5WX7jHr1FozX6iyWuktWrFYDNBaM5HxmuRurRpO6LVIc3S1hl00Ah5jKTtWQxfxs1vz0R/1eUAliFgo1NoI13VkXMls3gchEu0jlhRxlJzjRKnY9j2CSLNQrBFEumfaviNAGPJ8qeW7+LbpI2cyLnuWym33TKacNoXaJMwVAzKOBW97J3tKAdnPf4KJf/4HhDZOBbVcDn+1RwSFAdH5TpHWjKUcfrpvuXHMsyTnbs5xymSKnCephKZmFashji270qg7kOXj6IILpaBxzemT6YZqvRCCpGBP0xmnkUbdMWqpErJUKbAl5zHhu7h29zhYnxPmXIdDq+3RRKQAC9nVn1hCMp3y0L7i9lqxp2NU0vC+Wg0bfXLes5lqCU5TCbRRN6epag5mXpk0V9BKY1uSKFKNfRVbCuOElXD9pqzH5pxHGJlnVELN5A23ceTCc/BIHlPAtH0FvGVxnpf/17XYUvDAHXlcS+DbMFeuMplysY4zgqIvBOc77nERhDvbuRSC2TG/oTLeicmMQ9Z34mtHBOERRhhhhBFGGGGEewtGBOERRhhhhB4QAhwLahGcs22cv37hA/jeLUe549AKUmlUR8i+YjngJT/+BBd8+7NdoTw3Yo28beUIv/mN/wDgUbd9B4AAye+9+oNceeNhViohu+dK/KTFqPSTfcu8+PIdbJ5IUaiFbUaSQWEM1aqxoTKVdrAtgWtJCtWIxTUMbADpW4cL56mB6NEP58BnvrnmtaHSPOqMcSwhcG2JY0mWygGuJcj5drtKnzZe5UrTCIs3Vwop1iK25D2+v2dpqHweL7KuhSWFUW+JlTh2jHlctCVLpDTVUDGdzsahxCIipZlM2xRrUV8FqZMFpeGGIyucOpEi5zobTnyoBIq9cyW2T6awhlTZHOHei5VqSMoRSE6MIN7is1+44WkKjHKRFN2bUXUY1RrTbjoVKX5eMJlxyKecOFyszaacz9m6lahg/jh7Nkvy1z2xFuXZnMd01kMKeOCpU5SDOIwnopHHezs5+EGnTgL95x4mPKxM3Ag8HtQizXwpYCJlU1vLeWUDP/VGkPn6hfDdeAhcOzkY5b2t/ql0GmuITVIRRUT5wcOi31Nxb/pG9xisselZfPn6x2aRpCp73gXs+Yt/YOcbf69LTbj1+4Xj4xz4+Jfbbj0RpDbz3Ht3zemZ+31715We/eUv4D/sIQP34d4rf4/w05+CxYWBrtfxf/u+eBUASgik7kXd6Y2jr/+LIa6++75xNdToggnZPOg7WgkOG/WpwYYMiUtLQ99Sz7vzGy+At38A1zIEJCFEIxx8ff4y/PCv8WxBNdRdEZXqBCOtwbKaUQbqXdfRW68d6An/VlzhkX6a7FpqcvG/dcXYcc9GCoFrWbiWmSNYQmAJyYWb8whholtpiMvApOBaAjdmZBh1PPMOrZ+vvjZpqK1aRmFwpTKYo7EG6lHElU5WNO33jhuNUJm1lCSO+jXgdHayxZG8GkQsFgdzSpExocoXEoQhTZ8Iv0/XkkymHfyOOaIEFMaBvBIoPFsQRYbo3ape2oq6kmbjtzIEJQDfbrYhxidhabA+Fcwm0mNSaVMWPVD7laf1TaN1LB57yXPY/81r2J5PG2Iw9bW0qT11UqYtk8npljBkfrQh+xeqkWm7soaQgpmsy+KAdrOUI+O6bp4xX64xlXbZlvdZLNcAwY4//iJ7331fDm+j/wJEa6aPai7+na8CMJ12qQax4mlMtA+UxhKCchgRRJrllva4e6HM9jGf+VKNc6dzyJigrokVaFs+ehAZxd7NYx6pFrJt3cHDlu1OiLVIsVoLCJVRwVyphCitOX0y3Va+ne085UhqHeXvO9IoY8b9kRTmeZE271YJVKJDgll2NSOqJEXD01pzdKXSUDgWwtTdUGm+++1v8tLnPLkh9tCKK37pl/mXj/xPwkepO5RqPKt9RlY3zQTKRBZKeQ47PZu51SahtxapxP6mGkRdJOek9VykdF9ycP2+TFtamqPL1TYCbD2tyaxLPmX3JCR35qH1t8AQg1crAcVq1Hh/KQzpdyrjmvJ2LTrJx51Pq9scjqu/91NtP/s5MEjAcwRB1FRMt4SxbSitObBa5vBqMkEyiRibhGIQ4TmSqbTD8pOfzZGnPqdRj70v/C+b/+mtgyXUB4cfcJ/G30GkCeJ3cST8/uPOBiEaNsOsZxNGAeMph+VqCKFuEUJpx3IlZDLlUAlVooJyqDSnjGXQaG46auaMniW6hEdav+mh1SpSwLjw6AXZMi+pY1POQ8Qk7qRvKoTkzKkMKzUjDiI0zJVqA+8rJHXBkTb1uLXv8jqebcZNzQ1HV7vV3ZUm7RphHAkQK+jmfIesaxFGhlRcJ+1rDZmrb2LlfufhS5noRHw0CnlfcZVT/+taMo7ksu35Rn9c/4ZHCzXyvs1sxsMdQJE4CRJwB7jvUY8bLpKGZ0syntUWkVMKmM03xxyBqbsjjDDCCCOMMMIII9w7MCIIjzDCCCP0gRTgWVCNjMHjf//oMVz4qk9xyy2HOOM+29oW7U945VPxqsZDvZfRbK1jSehniHNQvPMdL+RVv/k+8P2ue/ctlvnyLUd5+LmzgDGETGcMGUpjQuuVw4ic1xwOFjqMTL4jWShF1MohjjSh6sZ8j5Rtk3OMh/ZqLVqTaDSMeUMAdrXMtjGfA8vJnsqtUNp4uQe1iE05i4mUTSVQRlWjBQcLNVarIQdXajz89DFuPVYi5VgcKdTYvbj2czYad8yb+pJxJPfdmuW6QwXOnc20he1TGoq1CDsOK1nsEdLv7sRdi2XG/IBTJzINQ9lGQQF7F8pkXMlk1sOW4sRJu41wj4BvW1y1d5mnbnC6jZp5wSUbmq7AEAmMQbx3/TdhEMXPLTl4JueSaQkxWe/1k43bd1cbbm6OZly7YwPOYEM2ue5GTGV6b9zUccfc6oaTg+vIedZgaZ+gAjYkguHbWaTUPeK7393PHxbFhz+G3Jc+g4gGIxmpTIbg1DNPcK5OPOQv+DxEux7UqkP15LWzz2tPo7Oy//Qn68sLEGzZnnzy/g9hz5U/ZOLNf0ju+99sOxW5Pvs/9kXIZBLSPDEtUZ0g5vFJ6zd6Pejs8+DA/qGTC5/yjDik++A1KfO171F80qPh4IE1s6iEZN+Xrmr8XvzMN5h6yiOGWoMvP+sF6MnpgfN3981vYOszHzVUDupjnv3VLxA+5okblo+FUkCgNOlnPpamruFwEIB3y82cNZ3haKHKciXkjnmjRzqddpgrBexcZ/7MvLR3q/FbiCStCrWz5wymJH0winjFwjHeNTmDJ0QiWaP+9D1/+raOfCVf10lIa720Fuk2NnevN8v5FvmUcfQ2Y5iICYTD9SBKm/8bKPJCj9MTGYcwUmuS5dbMC5CyJOUkJ5EOTGeb0UJA49qCmbxPpBTzhVpfdeBQ6ZiEa2xfUjZjUw0zHUg5stHwlNLsHE81GogA0rZZR0nAtowqp2sLtDJFWYvn160kLCkEUuguklOrqijQRpKNtLErKQ1j3/w+y5ecO1D+Q60RQuBv0Byo3hInnvpL+N/9UfwN2l+kEqiGunfY8p19R1KJFWujBKXY3fNFSkGEE5Mds67dIF1FWuFaEtcyhGAdq8aWA4XfwnDakks12v90umlr/d3X3Mg/ve0+7D+t/iKt8rHm+i37NY95gRl/ptIOY55t5itRPY8mz6Uo6km2379cYSbjNtq4HZN8O50b6phbrZH1zXpGCKgFTYIwaAKlCSNTf3cvtCurjqdsPKt9XVwn9SltiPh1oq5jiTZHDSkEKQe0FlgSivF1Eeb+JG8Tx2qSCReKAVrDeKZOEtaUqhFHOiLJaW0UO5/9uIdxw3W954zf/vpXOH9rlpsOFnpeI4RA6QjZQXRfrYXYoURg+robD6+AAD8WK5jJekymXRxLkvbs+NPHNg+atTfpiw5C+LMtYZxWWzCd99g73/xeUxkHz7HwHSvxOUppaqGpy0prZKwsv1CokvVsIgXLlaCh6JxyJZWaIZ9PZ10yvk3SyN3r/TZi/bzlIx9hJU7L7yBzKq1RaFK2jJW0zVMdKyaxK00Y6cY90ymPTRmf1VrAnQvtEQzmisaRuV8UvomUTc6zObBc4fSpDFtzKYSA6w4bh9jqE58O//TWdQvBaMzYVX3zv7cdn835nDpt8bRLtlKOVNtCaa4YMOZbjagKAcbJqa76m/NsirUQgWluPzqwyqGVKr981iShUhxYqXD6RLqtvgsEF23OU6iFLFeM2vC474DW5DwXS8JipcbRQo2JlINnJTs3Q91pqX08t6RoqKDX3zsJUkjGvaaDwFTa486FItUBvHCcHoxvW7Y7N9TtQq4l8R1JoRZy87FucnAzXcGYb4RZQmXGh4VYlRlg3LeZSLsslWsslkPOmMzwiff+H4/IBcw+//GsaE2Epqg03xBw+n99n20rVbaPeZw11b1vV8dKJWSlEiIFTGdc0gwnOFTRmrlo7XnVr/3VR3q22159V8ppEoTrqvWuY+qEibIw2qYZYYQRRhhhhBFGuDdhRBAeYYQRRlgDIl7sBgryaYcvvelxpD2LL+1aYG8cqu7pf/yreNVyz4V7kmJV6++k+zqNbr3SBHjne1/Oq1794a5rJPCws5qbmqEiUXm2lRQ8lTbqj0IYY7ltGaM6WlOohaxWI6bTJndCCDZlU8xqTSkMuWuxabhMOZKMax0XGe7QSoWpjNNF9O0FzxYcWe2tBLMl6zaUOX60b5WteY9d8+We158s1CKNbwku3ZrFEppsymZpLfXFexiWKyHXH17m/Nn8CVFeK9YUxYUyjiUYS9vk/PVuOY9wMrGeqiAF3H97bsPzAhBMTm1oesOG6o1OmkLpxmPLmEexGpH1LWxpNriV1i3heUft8d4ApTRHe6jqbAQ8W97tCvf2Ooj4QWRClXaG/j0e5HyrEQJ6UNwTSMrDYOVpzyX7lc8PRBBWrsfKM14wuHzTPRm/4N3dytOew9gnPjTUPQu/9fsdR3Tfn8Ng8dd/u//5N/0Ni0OkNwDXbH04QY377u4zMn//ToqXnrf2hZ333fd+63ve5/+PYH6O2steBHt2t53TQJQf58Anvtx1n85mWfz8txh/0sN7K+y3/L30/Jey/KLfGDJ3J+5rrLW+coq9yVD9MPGF/+XYEARh3+7fAUYalsoh+bm5deWnFbv3HSNMpduO6Y6/h+qOYxXifuqEnXCl4ILNWbTO8MEBH3NTWONX5g7x0kyeZ6WzbcSwujth6UOfgNkmzTnRHtTjmw/zzlLC9vHkaDzrXbMbwqBYU2Y66exs3jgUag0TGU2kNEuloE2ZbhDUSbRS0CAx9nNQWy6HzBUCNuU90p5FuRbhxNGnxlIOYVQbbO4o2seIYcqws85lXafxd2udVBj7kGMJSjXV9xm1SDfIOa3JLxQDEyUlJsSvVMKY3Jyg/vywR8J3vtE/70rhCIFzIhhAy8s9CdoaKAYhaNFoR1I0VX6ToLRuKGcGSsdqosapaSxlE0WaUycyiX1AJTAqsSbCV+9n/O4f3cj3vvNtrvnOb3NkiyaywYpg+ojmEZf/HfbDH4LCtNW8ZyN6KC4vVnrbLqWALTm/4SAQKqMVW68rWmuKYUjKtrCEJIzbUh0pR2IpQyQ0zpMQqm7iLZj2MZkKSdnt24SdZVRfK9XrUOt382xBsaaM0nCssl0OVFd/m9T/FqohGo0lBdUgolBNLvtX/vpz+5KDW3H+1iwLRdO3rHaopYdac2C1gm9LplJeTKxURsm5XOPgUhlLCFZjcYbV2CXgWCkg7UikEDzsjGmslu/aattParKWFGQ9i0JHX2dLo1A+lfEIlepQRTbqz6dNp1kuBziWxHctpBA9ZxtCwEolYG41IlCG3K21UVE9ulJDdKggl2tNZeT5Qg3PsbCt9naeRA4ul8vc9fBHEB05AlojcjlO/863IZ2GUjsxdy3oM86BaoQlBZXQqPfXoojVWsixQo1AaU6fSDHmuzGxuXenqDFtxekRgW4t5fxTxtKAYMJ3CZUZ7yS0OcUoy8IagIjZmS8w/fu+K38ImH4m61rUlOY5D9xOqDSzOY89S917FMuVqE01WGP2dnZOpMjE7bYcRPzfnQvsWzLiJ9cfLnLmlA9o7lgosmMs1dbGIwW2lNQizfYxn7r+rSUhCDVjvoMrJWnXbhDKO2EJuOXYCtWOcWVz1mub+1RiB4wwUomq93VIIdiS97lrsb0Obc55ZBwLjSZS4NkWthANZ5E6PNuomtdz09rfjKdtMr7DNB4zOY/v7Z5PnDdIIViu9LZnLVVCllrq0eGCKW89PcP3P/4d9i83+1gP0Frxkku3MOY7VCPFvqVyorpzHUobReHtro9VG1zIRgrB1yr997ee+jt/yNFClc/edIQnn7+p63yv/qsa53cijhhXd5a2ZT0658DZHGGEEUYYYYQRRhjhHoARQXiEEUYYYQBIUQ8hb3HJ6VMI4NTNef78K7dTCRVji8cGSqe+2P6bs57CjRf9EmeKCm/85OvXvGeQ86/5yBt4+6/+dds5Bdx6eJULd4wPTJapG5xmM65RzQl149iYb1MNw65MCSFI2zazWZejhRqTaYfFUtAwxIwN9OR2KIxhZLEUMJl2kPFmTLFmnt8Zvgog69pUw96GnLlyyOGYQFwOFEpp0rakdIKUFAfFUiXEtiSRVlRDTTU0YcECpSjWooFDbN3dUBpuOLLCzvEUec85IfkOIs3casBiMWDzmI9rS37hmTr3YMh1fJp+xtL1or6NcPCjX9yQ9FKOpBaqgckFdXSGt7sn4GXPfwpXX/U9AO77gMv5j//6gulv4/brWDCZcfFduyt8Zm8dkXs37iVd7rowX6q2hbD9eUQlUPi2BKFbQhUPct9wpKF+8GzJVNZjmPHp3kYOBgi3n8Lqk59F7vOfQlZ7b2Bp2yHcup3VJz7jJObuBOLe9qE2GEsv/n+MfeJDA5HzNFA98xwjtd96vLMMZzfB4YND50VNTBKcOZj64eD4Bf/AJwPH6SjgTE3j/G/3nG6uVOVIobcTzIrts3LlD5n+0HvIfvQDQAfh1PMJnv5sDr3w/3XV2cFw4tYkni2ZSNmUgqhrHZz5yPvX/fQwP9xKvdKDJNIJsc78tOLU637A/oc8uk0xs05CCMancJbmh0vwn//NhPKONL5jiJJdPMOOTKdci5m0mf+6foraGuSLOoqq6VDdieppZzHXSg4WcOtcAVsaEuT5s8ZR0hICt+W+eslbUmDHnajW5r9eM5fpjJtIDjbpra+vS3UQcgbFZMYh7Rp1SiHM+1kSZvOSKNKUaobEWyermVDyhmwoGpFJIIoV/WpR00nTW4O4XsdCscpSSSaSgurrO8c2/ybZMiJl1rdWzI8uB03FVojJq+uYRkYJD9Na9yUHB0pxtFgh49psyXoEcRq2ZexmkdZYQpgQ6J5FqRolOqtOvOs9LP6/l8FV3yXUmqo2SsnE9WpBRdweBjzY87E3uI9bK7VqFLFnscSpE2myro0Vq6H2c84NdW+ysURwymS6u923IIpJgZ4tEm2OYNpc/qxLePTZV5HxLHzbIopJiUvlGqW4fZwykSLtOIlpKK0TnSqlgNMn05RqUZfDksbUOSk1t80VqYZGDXnbmIdrWViYPkSKdnKvIUzC4UKtjdjWmu5a38K3JVGfgqv3J/Xn1qMDtNbtlCMavz3bkF9roSHmLpXC+Jre84OvXfn5NXLZjk99/D/51Re9GFsKfMfCkrBrrsCNRw35cAVDxKvbPi7YlMOWkjBURALOmExxaLXKeMphx0QaJ1aeliJ2kkgsh14OH7qtLHxHMpFx8WzZMk5YyetBIRhLu51HE68VQjCZcTmyUkEojWuZ/q4cE97thLvq9SzSsFCoMZ1zkfE87StfvpKnPfkJbcTlC2yHv5+YYtJq1m29ssKuiy9JePP+8H7l2axWI9zYwVcAt88XupSy71wsc8o45Nzk9gSmPKSEw6sVjhaTyfeWFD2d9lO2URXv7I+Vhh1jKZSGfctl9v3XV9j5rLWjNnQ6NO153jOZ/q0/ZkYIykFEoRa1vee2vG9sGD0wH++NhEo3iM6+ZTXqz1d3zbOvhZy6b7mCYwl2jLkEEdy5UGI24zKVMt9Xa83+5RKnjKexkI381vs9T0hsaTLv2Sb6gFHU142yDiLdRQ4G4xjRiUqgECLZSaAVGcfm/JkcGm1UsIVsi97TSgo2xGOB1nVV8/bxof7XbBztrI6UYyXaqqUYfm5Uv/qqvcttz96cc7l0a45KELFnqcxZUxLXsjhjMkMlijiwXEFp3VMVfv/HvsjOZ/7SYOttrdkV1FjuMf4BPOU1b+L+T3oxGqNQPwwmsh7jGY0dzycFMTn458Dve4QRRhhhhBFGGOEXESOC8AgjjDDCABACXMsYhjTGgOZaktc98nR+9Ngnm2uGSO91t3+W117xRH64v8rr/+CjlJYLvOm//5T88jFCJEvaZpsuDZXm6fP7Eo8vl4J1kfTuXKwghGBrzmE64xAp3VA70Doh5JgQTKWM0fJooWmM8yyBEgKp9cDvo4HFX/stgEY4p1Z4tiTjSoq1JpEw41gNInMzHfPMI8WQm44UG8clkLUFN+9dYvtUmrGsw8HV2kBh304UVipR28bWQtm8yzAKyvcU7Fkqc8kWB5sBQo+uE5GCA4sVHAlbxlPGQD9yW7/HQRzHJmKrCssw94iO3/V/98ZKHccLz14/gfCeRDm6eOcEQdDet/zwO9/i/K1ZHMdhqVBhuRQwnnHv1r7x7sC9kag5CGqR4raj61MYHBR3l0OL2TxqUakJ2zenB0U5UH0JAQPnRykWijWmsi4/704siy97JQC5z30SEYWIDkUllUoRbD+VI3/9DrTfO6zmvQnrJVXd29GoyZbFkTf/I5ve9Lt9Ny01oH2fw+/4jzXTnv7qN5i78Jyh81R817+vfdGQOFH92M91rXn3++G3Xzr49Z//2gnJRl+iRssHmHvRbzH1+39AypbsXS431po5z8KzJaxz7XUie/sx34R4jlDc0jGW57/y2XWnu/jy/grcx4NBSA397g3z42Q8i4zbStYWTGUcqp/7Ks7DLh3qGZnLH9z4uxLohvps27y+o6G29vf/+rXreMlDzlrzOTawxbJ4cjqTeP7Iez7S/ozYxmTWzZpqoOK5d3Kv0aUAG8OxutVhj63WOLZaayyTDZk1DtOuDWmwlXwLNNRG69ebP3R8nUnfj0l8Ugpcq04s0vX/AaZsq5FGa00+5cSEuqSvJbAsQS7lkksZ8lcYmUhWK6WAclH1LIs6tDbq1sKwezqTN2QWS1CpKXQPOnW9HkQNRzO6iNBSgGtLghZCj46f36D4yeYJjbleoCmvEaWi9Yuvrq7yjEddzvzCMdLpDO/4t49y6f0vbzxPAKUgZKkcslwJyTt2g9BnC0FFa46uVNk85iNiknCvpyutyfzz+wC466H34wOH9iOFoKo1t4cBNwQ13js5g9dDBXcjUCwUyGSzWBJyvk25pliq1LhrsYTShth21nSmTbG1F8p9nI0LtcGcJMuBIu1KLGnqvRD1tkO83tBcvDlPNdRd6+QJ3zWKilJgS1OXk/hfpTA5L6eMp9AaJlMeniMIQt0m1l2oBexdKje+Zy1S7F4wjguWFFy8OY8tRZcCshSizV5qS0Nmf9jpU1QCQx6vr38saa63pGn1rSS2Ojm+E52ky2qgcW2JlOBLgYQGcVrGgg8pR3SVTa859jvf9ueJx/vh5S99Cb/6ohcznqmTa5PJeJtzPjMZlzAy/WtdLXYi7XHelnGSRrNePXTPnlsINo35LJcDKrWIXMrBd5IdkTrTSCQC93oOpo/3bUkQRm3jmy0NkTDlSpQya+dyTLAEQRApqmHUUM3ttY6+IQx47LHD/JLn8zcTMz1yMQDOOAf/j/8cEBwtVjmw0p+0uH+5zIWbHcK4iZu6qFmphoRKc7RQaaubriXYnPM5sFwm0pD3LFZaFJyn0w5TaRfbkoYYHjsNddZxW0LOswmUYjLtsGrlqfz7x/B//XmJNsvW77LnXR+CM89pXCMEHEsgL/u2ZMxzKIX9xRIWSoERr7EEEykXK+5/lsomzaxrxSIaMOHbHC7U2Jp3sSWMpxyOFmtoAZsyHrYU7BxPIzBKvPW64sdE6YaqvdZxmZs3m827WFKwe6HEkZUKloSzZ7LsmitRixQzGRfZo6/WsWONY4nY4UOR1GULIWJnpO5aXp9J1M9UAo1jadJuu/OSwPS/gGlrLX21EIJTJzPcfGS1LW3fthIdNwaxD9b3PrblXS7eYojB5SDi1IkUdy2WOVyocMpYBqXBlRanTWTMu0hDSr/paHteyGQIx8axl5f6PlebF8J+8GN5+kN+mc/92UsJq6Y+SFvy4lf+Pi975etJ2ZKVWkA1gDNnkuenbaR23RzfOudvbntxjjDCCCOMMMIII4xwL8OIIDzCCCOMMCBErBQCoGNlkDHfYcudNw214VtfQ19/1wK2Jdgx5nFrLeLNL3obniUoH1vmXR9+xXB563F8MuNwxbkz6yJpZl1j0KkEEcuV9vt7eVq7luzytg+UZuHfP8b0rz13oOfW71a/+lISLUWY8JGOa7WRZ21LQIcdp1RTHCuFHGoJo+dbguvvnG943N94cAXXElx+7izF4yQEHQ+KQYRndw/Lw4bbPNmYSjsELQoG99mUwxYi/nQbp8bYC4GCvQtlPEeyJd4AOxk4HuLrCINh3+v/klPe+icDX687/q3/vfdP3wYPeviG5Mm2RN/wtf0gSVaHujtw/tZs3/NBEJDxLFYr0cjw+3OCWqj46YFFFssn1uFkPQ5Jx4tyoNi7XGJ7PoXdoUoZKtUWEnQQ1EIdk2PW315Trv0LQQ4GQAgWX/4qVh/3VPKf+S8y3/gyVrkMjoN1ySUcfurzqVxy/+NWDL0nYb1h2X+eUHnAgzn8lnex6Y2vgZjkUq/t9eIJtmzn4L99IlGJtbMI11Wkv/I89PYdUN5YVfQT9Xn1z3HFyVz+YIrPfj584qNrX/zaN5DZvPnEZKRPl9tJOrr1mCHZplsIOkGkscRxfKeT0OVbSC7clOf6IyvNx6rh14s6/o8dZwx8j+j4u19JKWkh15GvVixccn9W+pC11QMeSv5H3x2MJPzRT3XfHxNVLGGUautqvL2QyWR47T+8n7/7vd5k+BSCrbbNeyZn8DsIMo0yP0EwysjtBJnG+qid9dFxZ4etx+m13ulebWVcq4V8143UmrnuhPmSnSHu14KUIn7v/iVcVydeC01HM9miiGqUhXupJzcIVh1ZqF+fdiTHrr8BXvCsrm9Q3LoN/T9f4gMf+hDvftOr2+8vlXjh0x4DwIN++Sn83tv+pe281rB7qcRs1iPj2FRCQx6rhopjK1Umsi6tmRI0yeSadsXjU797DZvf/jbe+bY3tz3DPcGdWyZr1qab8j6eY+HaITccWW447ERac+dCkdMn+5OEldZ9Q8PXIs11h1e4ePNY33m+FMaWaJDcXtKOpCaS60Kkzf+FkSHbCVFfWxgynNaaowlq92dOZzh7JkctVKxWAgrVCCnM99LaEI2rkepZyzdlXRORDEP+B4HSmrQjiTRcvDnPZNYl7dqIWDVXCsFYCsIw4shKFaXMcyJ0ojOCm+AsnXJlQ6G29Xe9Hbl2cy1mwtGbESRQ3fbCSqC70gN47zv+vsdbDw6lDQGd5fbjE36TdOo7IiZ+m7bbSpJrRS9n9n49kBCC8bQL6d7XrEUM7vecMFKUqiFL5aCrn0vV1diFaClbjcSsfY06O5wylUJKOZCT7derFX5r/gjvmdqUfIEQvQfV33oVpRf8GqpSoxKonoq/rZBCNNSObQl3LZUSIyNlXYtTY/KlUYZ2qakIV0qUbmZLtQxpYUtdr9dxIaAchOxaKHU9wz39bI5c+UO2vvApOMeOdH2PYGYTK//1BXylsKU0yv9SJJJPAbbkPYQQeH0kWfOebZRvgZVayETKadTN+XLI/uUq0xmHY8UARxoycdqRTKYctud9pJBsyngcK9VYrYZkXaeNyJtyJWgzl2jtHzunAynHQkrJeZvynLcpZxxkhOCM6SyFSshcsUankO1DLzyNhfnuyJsf/MTnuP9DH5n4vtUeTjXlQHX1G0EEQaSwZVPQwZKmnkghmC9Wmc23z0j8BLXyUhAx7tsESlOLFJ4lsS2jnrxYCtB0q8vXW8oZEykeccYEy5WgzRnjrkXjwJH3utWvNTCRcvBs2U0QBg7815fZ/szHYBVX2p5Vv7eOwv0uZ/Jtf8dTCgHPf9xdIGBr3mXSd/EdC601hWrI6RNZ9i5V2JT12p7TuYanxfm+8yuMtFlGGGGEEUYYYYQR7v0YEYRHGGGEEdYBIYyhoS6Stp61sW0Jnv7wM7n2liPYkyaMZDXSnHf69Ibls1iJGgoX60VSuKj6BqslwZFGXSWKFLUINmV8sq7NniVjBFEailtOY8JxsYLaQCG4ik9+RtsmbsqRpB0r9mKP0MB1h4tUI4UsFnnUq56JrFUZAzSCg2/4S64563KKtaiLFOQJGmTWOi45ZbyFHKzJ25KqgqpSnIydXs8WbB/zKNW6N1EroSLrWhQSzt3duHBzvmmgnTDhArWGVp61UWOUhIPsxB0HqoHirrkSp/XwhN9o/KKqBw6LrGuR9dYTohl42pNR//iXWH3C1kOLUwHAf34KTj8TGYfWDJVmR/3CIZqyJUSs9tT5HKMoQ4uKentN0A1lnE6EaKKobmQdvP60ktE3ot5dsDU/8LU532qE+2zLg04YVfqwM+r7Qp4tsNcVsvvk42TYvDWa1XI7sW7te/qjWAs7lJHMHeU4VPJ0xu2/8yh6n2okJ+j43hrPkuTiTY+ZjLcmgdKS5jqA3tvcw2HMt/HsemjWOOqBNvnLeFZT7U0kaUC1w7UhCLsu7H1Hx6XTuaby9rCcwLXqQiWIuomGA+zSaK3YMWaIF6FSRAoipeJPKRI3nMQAGaqH2NUT58JFfwp/8qcIKRj3HASwulIm15KiUWETDRWlRi/XUoZCtOQnVi1sv0a05a1xX0e+RecFCa+T/Hqi62frEVuKRhjaen1LuqeBls9lVPyGr/O6I52e17RASo0jaVdMGuRhLe9biuubBhxLMu7bzZMPfhArX/sh9o+uIvVPf4tYXADLJjr7PMpv/Ct0fozJjofW/7QkVKKokelKGMI3fgCPvHyQHBrC+WvfgBuETGdaN1y7tji7X66Bwb6DFKKHqnDLWsW2yHp2y8Zq91UC3RaFpRZFrNbiMhAtra7zd4+86pjkUA4iIku3HW+g5fa1uolWHkfSpdWoP0HG+oM3ED35afCi5yR3fFLCZ76M3LSZcotyYjVan2rzmO80lNPqmMAhlxDWuN7fDNIfW1Iwm01a/yaXS+uVthRd4dFXqkEXEa3PlKkL9SG3EtX7D3NsKu00zluPeSziYx/pnUiPdMXDHslZ0xl601Fa65/AtgRuHPHm7JlsYyzqrKUaCD77ZXjSo4fKUx06/q+fEijA4pv/Ht78h+S//80uslZrGcv/+Aipc88HDCGkFs+J6ohiclCkNI4lGuHmwawJxlOmTmkNj3nCk3nwFXfy7AedSxjECm3x8862HV6cyfNIP4XdUTfrj9v7oc/1fSfZIM/1h2OZNC0h28i8J9sPwbVFY51vSbHhzrqDvs6gT3UtSVkNbpcoB4q0IykFijBSicqp0CTf9cOx+10EtW5SKAAHDxA88EI+ePRA3zSu+spn+a3rruY9V17d9fxx30EgDPlXKbSGYi1ClgImMx5am2cHkQnBbkvRIJHWIoVSpp98xe+9jic//Vn88oMvQccsr4NRyPnabYvWsRGot1PflniObChfZjyb8zfn+emBJpOzFmn2LpXYOZ5JzIdZ+6u2KGO9n9u/ZjnW8UcTaX1WEDXJto4liLROdKI/vFplc95nPOXgOR6aCl+6/jCPPGeW/StlCrWQoM+A2UpAazrsCzzHIpdyGs7KQoCK/1a6buVoKmCmHEmkNbWEMggj1eVIWa6pxtinNG3k3jqZzpZmjLQsQ1C1pOk7k75luabwrDrx33wt3ck4XAe01swVuomouxaKnDGZxbEEOc9hOmdhS2PfbM1dNQjxnPY5xrC1ZFjrfNL1vZbvUpi6Ve+K0o5kJu8hhWClElIu1LpSM5HYTP1MOZJQaR5w8XkD5+/qoMbnSgWenO52QLd+/TeZ/r3f48g//iN879uwYwfBa9/IARWXYfwtJlJrb0+nbMls1sO1zRhuW4IzJjPsWii2kYRPnUiRdZ021fRQaSSyQXRNrRERrBwoLAv2LpZZ6nA4SNmSjNdUmT344WYEh6xrccp4mj2LJU6dSDMp4EihmqgY3CgjIZjJunjSkDjnSj3GCGBLzsOWxpa2dcxvU9ct1EI0huR97kyGfcsVgppRkN6c8RpEYCkks2mPznpQi9RAzjNg2mUTomV9Icj6Do4lObhkbLjv/Nu/5F/+8a0903rxs5+M7Thct2ex7fhaDt7lQCGF6VNarwuVGQeaf2tcCXm/7ihjWk+kwLNkYuSFpZb6FHRERqpfP51xGnXAtSS/cf/tsWCOYirt4TsWh1eqRC2TsmIQknVtIm0iWJw5m437P5HoRGpJwe1zZb7xt//N6XMHeOifvQzZMX+J/BQHPvJ5VDrDD+5YIFBw/+05tuZc5osBZ01lKdUi9i5XuOVYkZuPlrh4W577nTLRNl/uWpcIkdjvAH3WDCOMMMIII4wwwggj3FsgTqaKyWWXXaavvvrqtS8cYYQRRriXQGu4Zuspw98HfO69V3LNnmU2X/NtXvT19+OokCCT403Pewt/+97/Zzbthkzzla/+cNuxnG/x6seclRhGbb04bSJFyrYbIZ/qhjXHagr+aq24a6lMqWNTb/uTHoYVGuNYr+35lQc8lMU3/z1bch47xnx2L5YTDWo/3LfCr7z8MX3L6BvPexV7HvbEtmN5W/DNG9s9/KWAK86ZRVhm5/h7t81RCxUPOG0CJ+VgC0HhBKkLX7Ytx7hv9dxsAtqUku9JuHhzPjFcYhKkMBuypdrG1cUknCyC8DX7FtqUqUdIxllTGdzjJIQWr3gAFLrVFNrw7R83lIfuTkgBt82vbtiG4kbj0B138KpnXTHUPR/59P9x6QMGJGytgU15l3SCckYvDLuBdqLT2Wgopdkz361IczyYK1c5snp8fZNvS7KexUIpGJi0lXGMUs+wmEjbbB7z1r7wXgylYaN8fMq1kMPLg39fz24nDqUcyebx4fX8hodm97GNqdvHq+Z8MjCsSvXJxPHmbf9KsjrXicBU2mH+zn3sfMlTG8eS1gvKstj3he+flDw18lXqPw/fNuYz7vVW0UyC1pq7lkuJDoJ3B1K2pLwBa8acZ7FajeCaH5L/7tdYedQT4IJLjj+DHbh4y1ib4ls/FJ/0aDjYQbx781vIPOlpAz+vda07KKSAPUslVqrrb0N1cmI/nDaZRj/gwqHTzlx783FFe/FtQaXPnLd46eAko1ZoYPUZz4XX/AGh6nbuTcL0H/wW6euvbSM8yFf/PpkXv6xxTX0+2KtfNCGvjXNJvUxsCT87vNJ1bR27b7uR73z+U7zyS59lPF7z9LJz7HnPf8JpZyamM+7bDYLGtnxvecm6wl89f53vshHRe/ql0STAm9xWgqab147JFHYf9cP1YKlYY3GN/he6Ff16wZYCgWbYIko5hvgjpexSEB6kzIuXX9KbHByjpjV3hQG/Pn+U6horl4c+8Rm8+q/eBZg6cPZ0ts0BpRW2FExlXSphRKWmUDo5pHsSVmsBn73ySu7zJ7/LmZZ9YqI1WRYX3LW767DSmm/cfrSrbHOexfZ8qoXwZhQ/66HqlVYUaiEHVypE2lxfV5S0pcCRgi15H6Wa7+LZouG0VklQp0xC6zX9HFCS3Hy01hxcLbcR0dCab+xe5oJNWZ56/iwHVyqsFGu8+Qs3c//TJ3nQmdOkHNmTAD2Rctia657j29IQzUKlmc15CAEHl6pd79BJlOvXppKIeZDct/q27LJHtzph2JboGssl4MZq6CLO56mzmXV5QJQbJErNlTcfbtgvHSkaZOuzpjO40pCCN495OLHDKWiOrlTQ2tSPINJsHvOQCVFRWu0N/VzVBrVL9Luuc4wJYsVpKUTD0SXlWji2bFyttebwcqWr//IdERerUR3fMZki5w9nv5uVki/Mbks8d/adu9m9UOSOuWLP96nPsydTDjsm0vzsYNMxIOtanDGZ6Wl3tqSZZ1WCiJ0TaRw5WN4HaeOW1NxyrNCo0xMph1ApM8ftQNqxOGs6Qxg1+4NSELJ7sfd6OOfZcV/WrDG2FJTDCIGgUAtRaGxhnG9StiTt2NQiTdqVDadTrY3Tb6mmsGK1Yq011VCxWA3YkvUHK5ME5e6uPPsW07n+6QVhxFyhxn9+4P288Q9eOdCzbcfhhr2LDSXrQfICsYOJY/qYpO4h5UiqgaKeUjruV+q/ldYorSmHEXtjkZtBMZt1yXsOrpQIIVBKsW+1TKEaJfZ7ndiU9bhgyxgp19TZb91xjNVqyHjKRinYvVThukOFrvvOm0mT9Swu2ZwnUoqP/WgfwpKUWtSgz5hK8bTzZ9ky5rNYrHHT0SKfvvEoKUdy/+15nnDepp7ztV6q6XV41khBeIQRRhhhhBFGGOHeACHENVrryxLPjQjCI4wwwgjHh589+AqC3XcNfd/Kfe5L7safJJ6rbw4Nuuau9+T/++9fa3geG5UFY2w7ezq1IeSKqbTDbMZvGLAyrmwYdls3h8Cogu2aL3YnctW3OOXPX9f1bpHrsf+jX4RsloxrYQnBeZty3DlfTCQI73zcA4HeZVTPy9WPfR43PPUlbefyEr5x89G+71qHJQX3P22CwN440f0x3+a0SZ9NWZcgSjZktUIKYzw8WQSNQbBe4udGbFr2w4ggfM/CRhCEAYqFAvzyFVDpMNq+9g1knv/C405/oyAE7Fs+eWSqYfEr99029MaaEIIbD6xB0B4QwxKENwobodRzInAiCMLHipWBQnT2Q6siyqA4dSJFxhnu23q25PSZk0FWvftRW6dCZiu01hxcLA9F9pSCNgUlqBN4hnVDGx6LhSpL5ePvC0cE4ePDvY4gHBPBcv/8t0x87pNttVQJyb5//QjsOOOk5CcpX72wLe8z7g9HEAYohyF3JoQuvjswyGb2IMj79kCEzuPFIATh4jOfArtv75/QF79BZvPmNZ+XpDK2JoTmxiPHN4daiyDsSMEpE2miRz5obYe6FthP/xXG3/wX0EKGXQ98x0SKCZXpbzqxePG5A6dVL93IT7H/098EwJFGTbR1PPFsgWdZpB2LchghBSyWw7b52/Yxn7EepP2kftES4DqGhBMEqkEgXYsg3Irpb32J9Fv+rGt0rVz2IMp/+09omqS6VpsN0EbSO3sql5h+Uh30bHOsPkyeSIKwJejr1Cxi0qDSZoaxY6o30XlQLBarXdFMOmFLo/o86Fh3PGXUee8gaVVuu4nouc8cKP2KVnysWODdheU1r/3vnx7ktMk06dhOVaf6rPVmabe303ZdTTbSikApgkiZci0USD3uYcDGzR7rNs8dP/wBY1u3Jl6z61iBm1vCro/5NjMZj5RtSL+h0j375X0rxYaKcr1O1q88eyZD2rYJIp3oTAes+V3rBL1qqBoE5Dp8RxDGHMJQ6cS2E2rFrcea5K/lasS1B1bJexbPv3gzKcdisVjjwz/ayy2HC1xx3iYu3JpFaTNeA5RqUeOdkuwuvm2UgJPKqLPuWpI2BdG15t9J79Q5XnVeYwlDCG4lHtfz4VoChRnTktRMX/T0x3L1D7/XMz+9MLdaoxoq5ks1jhWqDZVgWwqWqwGTKRc3JlVWA4XnSDaN+Q2C3Eq5xnyhfQ542nR6YIZcJ1l4LTtDP3Jx6zWt5yOlqYURSmmOrho7wOYxj5TbbsOOlObAYrmhJJ12LTKexWo5oBJqdkymmJ87xqnb154TdeJL01uYTrCZX7BvL7Uw4iu3Jtvfz9+cZdtYGteSjTLft1jixsMrnDFpCL9r9ex1Neq1uvW6A5BlgYznPnWyunEQEi3lr6kEmkBF3LlQIoyJ154l26L7uZZgx1iKtGN3rfWV1lSjiN0Lpa53yPs227J+g2yediVK6Tanq15zFSmNumt9DiyEaetJfdZaY5Qbv3cYKSxLtKkSt8KxBLYU5FP2mva8MFIcWCxz7pbhBBz+7WOf5cEP/yVSjjRlN4DTjyPNd29dwwhhlJkda/D5rdaaQCn2LpfbxoMkeJZk65iPb1mNvbFaFLFnqbxmJIFOnDmd4ZzZHEIIds8V2LtUZjV2Klwoh/wsgSBcx5POnWHnmE85iHjD/97AJWfNtNXNx5w1xePOnSWMIv73hiPcdqzEU/VBuO4n8Ixns2kyTz5toksNav+UAtx7R0C4EUYYYYQRRhhhhF949CMIbxzbaYQRRhjhFxQXf//bXL1lSBVh2yZ/40/WDC+61vlWrGbGEjfwH3TKWCPE0vFivhQwXwoY8212jqUodmwsOJaISSeQ0oLpjMtcJ1HpQQ9n75U/BIyB324JTzUtmu8sBRwrVEk7shFCtY7MFZcC/cumbuC47Msf6yIIr5YHJz5FSnPHkQIXnjJOUenYwL2+bZHzZtKcPpVqKIXVBtyEvyfyYtKuPbBqVyvKgcKzjUrIPZRLM8I9EJlsFr5/7d2djQGg77HkYGBdqjsn05nwnoB7qtrwoOghHjYUhiVNbM/7jVCew2IthZKfF7QqZa0XlSAamuipdPfG4L6FMhLYOZPmRJKEJ7IuxWo4tErfCCMArL7iD1h9xR/c3dkABuOAzJdq6yII+5bF1rzHwXuA01klVBvSVyVwRO8WJKoGJ+EJj6Q4QCQKuY73sk/C+LY1b0gKfPtHgyv22jbeG9+Mhi41wWFRCRQ3HV3hrOkMfuwopJQ2CnbA9PW3MnfZxVCt9EyjtcoFE1Mc/NgXm79Vs05OpR1msx6yI8BxymmqukphnNvKYciRYgUhDBHIhOY29x0pVBo2h4m0iyclxHYIFNi2xNb15w9RPk94Cnsf/vjkcwmKg0mQfeqMLbtVrJVuV/IMInXcjjW9ctCaZLFQ6GozWtMgIm4YiXSA16i/q2cLpBSEoeo791Bak3YEup5LAUKbOXQ1VCzHIeVF4/9oGKmKATGJTDDuOwM5VUTPe9baLxHDF5JnpbP8a2GZtVaU1pE7ycxeQs63mco1x59CJeTYam9nwSAyCrkaM74ppViqhqxWQuZLta4x4D6zeUj7FMfHYWmpb546FVT7XScAXvJSFpwxxnpYPndMptk1X2Dcd5hIuVixkqbSZr3iWKLR/luzrbRmpdLeWFrPWxhivYy/eSvqZNW10ErmCyKTFykMaa8a6LbnuQnkPVtIZjKuEUPQcMNhQwTLeTYfuPYgF2/Js3Pc5YGnTzIzleXQao1Dty827t8+5nHR5gxp18JCNIjNdX5aqBURAqV1w+aqtI6J/N356ezqtNZ9VYQ3jXnYloXWGqWMk4JGk1F1RVNDWm21GSelVD9mWYJaTfW0MX7of7/M+VuHIxz+8pOe1iDM2kKyJZdqWxdN+h4WsXNBZIjcQaSo1CJSntkyVUrjWKZ8Ih07wojBbQaDXNPazegexzuPtf62pGiQgWeA+WItce7aesx3BNNZl8VSQDUu8/nVKv/8T+8YIMfd2B2FiQRh0OxdKjGddpjrcLa7YHOOU6cyXW+1YyLFVNrBsSwOLVcahOZeiBQIKbClblMargukVsOI+VKNuVJAzrPYOZ7Cs622uhBEZt7S2S4caXHmZIZDhQrFakghMv2KFHDeTA5LCCKdPHeWQpCybXZOpNgXv4cUJupI1nEa430qIdJe/bs66LZxP9IQRZqUIxttReve9hsZk4eFpC36gCXAseO5U33+oHRj/lDvT+pE3SAy/83k+rNDg1BxcKnMd7/59b7XJeFlz3sKNx0sDGWLirT5zpVQNforJ54T9XLOSELp6Y+HvXvYQrMdrlzxaJbe8FeNaxxLsC2fIm1bXfar+VJtaHKwUUe3CCLFLUdX2bvYLoYxmbLZPuaxf7mKxHzL1u7487cc4z6bMpw5meYZDzyFQ6s1yqFizLOoVUI+8r3dfOEnB3jcbd/gnH97O23uem//ew4DR8YnGPvW96gECsuS7BhP4dgWYBSo9yyUmM15jKeGX+OOMMIII4wwwggjjHDPxYggPMIII4ywARCZDLqYoJbbC6Ex9/cyOw9DUKpf96m//UTi+a/vWsCSgsecNbkhIWxzns3WXIoogYUUdSh42GvspHYS6bKu1ebxfJQEIm+hQJbBNp3q5fj0N76I//2LDwHgW3D1/rUVWS7YmmPPQpnVSshcocY3bjqKJWA657Ftc35oQtPjz5mkEqh1f4PlStgM2Xs3Q8CaRtp+qIbGUDdoKNB7Ivpt3o7Qgl+gYrIk3LU4XFi6Ee55uHf2SE2sq8nt2YU3d4zqBfcFzzMhaDMOK9VoTeLDVNph3HeHJgdLYZRyflFgCdYkevSD1pqlAUJsJyFpvFbA7mMlZnMuniPjEJMb3WELNo377F/oTQob4Z4NKaFQPXlOL/fU/neQ/q065KZwHUIIxj2XBTvYEPXeEQyKhw8PRg6u44r7w7U3b3xGTvI8ePr6W5m78Jz+F/k+me//BNhYJdD9KxV2jkkTBUkIXAzxrhRG5H74E5SC4u+/Cq76rmlUYQAx0UYDnHEm6sOfohZG0DHeVYKIUydSZB0H3xEtIePb8wAxEURrKqFqc1SeTLkEwrSx/cuGICwF5FybqE9B9IjA3APHX6L9eInVUONaAilB65j4Z4lGGG7PFkSK41bd12jSjiRose0UCwV49EOh1nRmaFi/PB+++p12wvAGVa5h3qQaalpov32vcywSVVWlZOAw4xdvya85PqQcSXHY6C3A5Z7Pd/uQ6gF++9eezdevvo1SLcQumbd2bdnXTmMIkIYE2QpfWqzooIvk1lqWma9fRfGRl8Nyty2t84m9iMJtx//hn8k84pcAQ6q1Oyq/wCg1PuCUSRY7IpvY0thj6qQ1Abi2wBIiVv7sPZ5OpR1yvkW5qns6xHQ65Hm2bDjQVBsqlU2rrTmk8W3RRUZLObIncWw67VIJIxxLcOm2HLVIM5Wy8OwsPztUYNyXbBlPsXe1ew0QKU0pUAgE1ViueEvex5KwVAko1EIW4r50Ou2wWguRCNKuxfZ8dwSXzqKINLgt79gKxxJ4jkUj7l0HZ1BrzZHlShfRz5Ld9r9QKXxHNvqxOgSGNKz/P3vvHW/bVZb7f8eYbdXd9zn79JSTCiGE0IsICAQEEQVERKT9RPGqqKCAXAtyEbEAclXUa0EQFRDpgdB7S0JJSIH008/Zfa86yxi/P8acq87V9t4nOQnr+XySs9csY4455qjveN7nVU1hgenZOVaWFrvy0wtv/Yd3dx1THe1R66bdOIqZgUGkyMbvXcw6DQV71xIEShPFTjBJPqF3X9V5PqHCt16f1l50yvFOAnHavYWMQyHTvt2rlKYWRCht6mgtMOq4a9WAWhA1+rHZosf0zGyPN+kPN6Xj1cBVN57AV5q5fFP0w5aCi3cUcS3JWiVgMufQ/vaG8Fyuh0PbnTVGDTz0I9bqIcvlOpW4rWZsSdaxsKVgPu8RqUQpt5l2P6VdS0oWCh4/iNdEczmH3RNZImUUsaMBNu2843DBrE2gVKx43z6xSBuzdfxOvYYPPeToWAtUW5+UdYxiuhAQRd2OgaEyjgF+qFKJtRu1kMmck7oforVmuVzHcyS//As/PVT+0jDsPkGiNJyM5fVQN44lsKQg6sMQLr/8JfD1r7YdS95s8oufZvKLn+bIK/+A3c96FgXHTn3vahiyPIIITYKJjM1dKxWuO9Y7SsWlC3ku3VUgjBRCCL51aB0F7Cy43HSqwvdPlPn+iTJSwNnTGaSSfPb7x5nwbLKexc/92S8zuXSi7b3a3nN1hbVLLya46kvcWrd41xdvNUrbQhAoOLh7kqwr+ZkH7m0452g9tID6GGOMMcYYY4wxxhhnKMYE4THGGGOMbcDlt9zI1XvPbmxybQcSo2E/FY7k3Odf+eae6SQe5p+5ZZnHnTO9pc3nnQWP2azbkxzbql4DzdB3w2Am57BeG2xU2fu8pw6dZoLJpRNkLYEDfP2HiwNDRoExAr7o0Qe4a6nC0dUa+2ey7JzM8IPjGyyP8JktAY84MLVldSYgVj265wnCjiU2pRTZikhDFOqBYXNHwd1JNbMGkN/HiHGmsn1OA3ylWL8biVSjwrkX1tl7Qs333q4gPKzzytz/+iVyt9yUOreoPeZxnPj9NwEwlW0P692KC+cLOFKOpDZpCZgtuOQ9i4zzo0MQ3uomih+qTc8jpOwtnZOoajmWYM90dvvVnO/NjWkMamE0jvYwLLZQTkIIzprKsVj1uyOvjLE5PO0nRr4lTRF1q9imID590Vr1aoFi9ns3s3z11eiXPL+d3Z7JID79FXK53GnJR8WPuHW5xM6ix1kzOVZLAUc2qqzVQs6ZyTGVccj89f9tz7s2TINW/9cZAbuKWRBmbaeJQ91HiuWazySdRKJ0dEbAOLpRZWchQyetJtQap09yozXtrXeY/cZhpROly+azOkmuWyUHx5mg4iscaew5lauuhFe+ovf19Rr82EMotxA+t0tJfNRIJpkB4dQTWEIQpHwvCeQdi3KnVHNq5vqfHiW8eVvegJ1ycAzvjXWjOBsqWC4PtqNlHYkQdClVgql383mPShD1tc3kP/d144DxtJ8AFbW3peIER973KQB2v/iZOEePdhWRAqz/9y5yl13eVtePr1bZO5tDINqIlADFjMNqufm1pIRqGJG1rbZr/bBpPU3jlllScPneSaazHo4tQWsOL1e61KaNrcsokTZD3TcvciQ9J/b1UKcoeGscKYk6BgSTtmQ+73HbcoWsLcna5nuGfsTB2Sx+pFmpBFw4n+PwWpOc71qCC+dNX16J6+rJss/Jss85MznWakGbGENTuVVTDRUlP+TCuSKdZtFOsmA1UBRciRaCctxRTzQUq3s3ciEEjmXKLiFyQ3t7FkDWNcqpYQeB2rUFfqgbCqkJefMr193BA/ZPE4aD6/snvn5Dd77odpxUmH4uiJqEyKVygB8qKkFEa9YSW3elHlLMup0C4131vZddITmmYvVlx5IN279o+Te5NvndSSBOS9PcL1qerVkp1wmUKc/WMcMPIywB0pZIoVmvBvzs817Ea3/vlSm57o/z7HaFUQ2EM3PsKHhMZBxOlmrsLnrM5j3QsdK11ey7JnMmGpEfKqp+RLkeNsrbEsb5ISG2OpZsiJPYUmBbUAs0Fd+cL/kBgdJMZW0sIagEESvVgB0Fl2yKyrElBkdQyrsOD9w1SaQ0kWoqdddDTdbtJrh3QghBwbXb9ks8y6je93p2LdCxmnnznvJ//Bv8+Z/SJU/zF28n//j2uW9aNIEgVFgd0QikME4QShmF8VoPcq4jYaUSsFIJ2DnhkvNsWmtlPVSN8UVtYQK8aypLqBTlesR6NSDNv8KR6d+s81g/E2j5V14I3/xG6rnW2/b+xeshn0E845lt12itOVWtszYiObjoWVhS9LSxtSLnWizGbcSW8IBdZp2Sdy1uWawQapjwLAquxa3LNSzg/rsnuPauVV7yzj/rSQ7uhPWkx+B/8Cvkcy63H1nlxHKZhR0TnKyETHgWjz13jrnYsaS1fxpjjDHGGGOMMcYY496JMUF4jDHGGGOb8ODDt/O9xz0J/6ab0i9wXXa99S0ce/mvbSr9NBONAq5791Wcv2MKdaKErzSObWFbktuXm8on+yY9yr7i8HqduZyTktJgHJjKku/hMd0LWdtiR8HlZGnwZrcUdBmoW5GYxaQ/Wgje5L5nv+xJCOCZwGp2kj/45f/b855fePg+pvMuji05uFDk4EKxce7SA9PkHLNhozFhq2wp4nBhJuThyZLPHSs19k9n2F10KW+DcjOcOSF7I6W3jURXCUwosDA2tG4dabna/oITmkbYtcRCprUx4LUZ7+OCShHcHipnDUN/x65DqlGuz66EFubPehiH39Tt1wxbQrrrj/ZzyZ5P0k2cIVX2tEMI+OHJ0j2djVRkbcmPHZzDDxXFySk21lZHuj+fLw6+6DTg3k7UvSdw8uRJnviQCwmC5pgrpeT/fegznH3h/QGofutbzP32yxrn05S9Ml/6HPuf8gjuuvJrhqRQcKmGil0xseZ4qc5Z0znCaLRQ9LMFh6wjKWbGS9BRsRXCT30IckoQae5YrLBzwiPnJYpgW0e0VW+iMbYMtYWeNOcM31YzcYjvreBe6MfSwFZruiUlO/MZ5rIuNy3ec/OJe/EnaIfaxNrrST8GX722zwWjz0zkNlRqWwgu3TXZfrBV7U1HnCo1lUalEMxc+kDENd3kqNT0LWFIYbEi4laiu/iR5tBqjcNrNXbkvQZB7bblChlbMp11mMt5bXMHz+4oVxETq7WxdQihWawECAwhIm0RlGon6Ti4VgtZq7W3LUsKbDG6s1LOsZjMOCxV6l1Ko1vFVqLUpCnibgWBgtWjR/uTg1vx279G+eOfI7+wsH3q1CO+0rDzpV52p1DBwdkCx0s1TpT6252uO7HOJTsneqbVi4Q8CBrS4mh1YdeePQ1FaQCBaISDB8g4IqYJmrWqUjq1fWcdiUYjsDl3Js9NiyUiZdR106pjfmEBrr4egOOlKkspES5W3/XhBnF1rrzCYn4agMmMzZ5ipsumGCio1KOYcNYOSwq00KzVQqpB2Hieawkumu8muUKzP5vK2PiRYqMeESlN3dcsqToLkxkQgj0zOW45uYGQAluI2J7XJM+lEdCCWC04LVpaQshM7FtoqAYaz24n67WqlRZcG6uHL58AbEvyhdtWGsf2T3mcP5frqax623KFiQFrrXqo+e7xdS7dNdkg4QphCGidpsuSr9g/m2U2bxR9+80Uan7EWjVgfsLDjyKkMM4doYK8I6kEzfcHQ1Z3LdEoGz/SSAGTWZuVctD4tkLAvhlDTrvpyBpPe9xDuOmG76fmwbJsvnHz0VRnGM+RqeuiRETDtQW7JjOEShNGilqoiFLa8Eo5oJh1GnrlraTe1n97t37NejVkteJjS8mOCQ8pjQJ2kh4d96eZ+Ug53/6v5vCSIcHL+P2TccI4MLRfXQ1CsLyeue6F82yHnGwfSwXgfeQqshlDHN5ZMN8v4Y16dlNZe7kcIIRREi/XIxxbYEmBFRNWE+K61uZf1zLtP4yMmnN7HyCoB4pA6S4CptVjfI20SS8ZzwXgWHHfo6Ee6b4iI1VfDaV6a0lBzjJOEDVfUY90o+E7ViIIEqtZxwRoP2oSkMsPuqh34q/8dcpAviUahmcLQr/DiUhDRoq2+YLSzb7OtM3097AtSRB/wBPrPkUvYm7CI6mNtW3Y99g3k40dDCymchaTWcekLmC14lPzFdVAEaj2b9YLrUrvCUwEAXqSg1Pxx69FV9fJveBFaG2+TxjBXNZlwnOoBCHH1vvPGYqeUbFe6UEMnvnDV5H7zrcATfX+D0S/5W/b3q91flP2Ix53cJofLlY5ueFzdMNHa42jNd85ssb5M1kecNiM08PMxwRw8C2vY+o1b2J6OosfwXnTHq5tsbThU1ft9eXevGYfY4wxxhhjjDHGGGNMEB5jjDHG2FY84HNXAbB41ac4+sY3o8plik9/Ontf+xoArr/4fiOll5gyFIK1uQVya4tYYcTSzr1c+Qf/iGsJ9tkZFhcrLK7WkK5NOTLGhn1TGQ6t1rClMa4tVwOWqwEPWCiwf8qj4qeZOrthS8E5MzmcHiom5VLJhGUlDjP5pr8i/6SnACCF5Py5AgdmND88VWK1j2d1q31bADsKHn6kKPshExmbkh9hb2HDrNVcOV1d4+1v+0VCIfmt33gnALN5l9m8w8MPzjJbdLFk783CSoeiTNO4Zv4tehaXLOQBto0cPJd3WBpCGebuwEIxs63EvXqoG6oFw6g790ISMr0V+2ey8UbG9qIWqdQNox/l8NArtZDvHDUb7w/aU2RP0SXnWF2qPPdFaPQZq7J42d4pnDh84zduPMzFu0dTx/vWD4+dppz1xz1VnGfoZ2wg2VCtBe20vwfsnyIMuzcblFK8+OmPA+Bzn/xqgxzcq1dsHNeK/U97FKXPfpOprMOcMHMApRXnTOeHIsTYlklRa83Zc1mc0eJ036ewHYJ+m4UQwxNsTqzXUxWBNovwTO0Yf4SwFQXTUZQbs/bWCcKDHMXsuEoWMkYRLFAaR5qNdkvAfD5DNYy4a6VCFG9e5l0LKUSbkt7IGKIpbNdMUwrB3skMh9f6h5YfCcePU/zgfwKw8dPPhYWFnpdOZu2GgmMQKRwZq9ppTS1UQ81z77WtvlYdfM2I+MGprZO9hRR9+1KN4GSsPC0FFDybWTEcwSdSGq0g4Y9YslUxc/NfUmu6yJW1UDGddQeOh1KINkKW1oKi23RwzrmyGRI+Npb4aZ3HEI1SIqiEIa4le9o6LAHnz+WpR4r1WsDOYgbPsgiVwrEMyWYy7pPW6j5F126EBY+0RmlDYBp2ONwK6cKxtkbwbqA1iZ98/Gj3Pu0JcPX3EZsgXqch6xrn92Q8MuqNCfXNfGalTXnblkhVx01DP7NSqDQ7C95AgrDSUA5CPCt9a0WjGSGgVjNvwE3BYAf7//nEFwCjMpk80bMFnm3Kqx7ohl52xpE9VSHroYrbpSnRgzMFBBBqxcaA6Dg5x2Yphc7cqtO9mJ9mKms3oo2dqvjsyGe67jm1XufAfLqTWi1UHF5r76P9SHPHaoW9E91EUIFhEy5VAmZyDkkUrjtWy0a51rGYzLloYLEasNSi3n9gOkvB2ZyogmMZEmJrWSfkxoTc5XYoS0cK7r8wyUY9YL0eGKJsGOFHmkqg+exty4Cxy16+p0jWFkxlHZbLfs/xdr1mbKjrA+Y+G/WA6Ywph3qoGuRgKUxf7NmC6bxLpDSu3V/VerXssxKTt0+u13Bti3ItbPR95UBhS5NuNRYJkMJ8x2Rd6dkCW0qyrkMh48RphswVvYZ9ds9Mhm9/1xDf/u5v/4Y/f9MbqddrXPyAy/iH93yoZ/4SanOvMpsvuhQyZv3jSnBtC43g1HodKSHvmvLcN5OlHtuDO4m8reTg3vnQHF6uNt45UopDy1UmszYzBa/luv5RBAf19PUgYqnkY1lGvdqLHQESW0I/xdynPfM5fPR/3jvgCU38dnEq9bj6m7fBK1+dek5gIlwl/flSKSDjCENc9hVZR5q6E7+oLRU7Jlw8x6LqG2VZTTvZHsz849zZPNef2Oh6ZqQ1lTAgY9ltzji2Fc9/pCRsEHNBRhrPleg+46oVE5j9UPck+jehqfo69dsFkZl3J8i2kLkF9CcHt6D8oIuYu+5mNLrnfKsW6J6EZqWHFwPZqEfk6hFZ10II0eYYPL9zgVMnjg+V51bYHfaiVmeSvGuzUq7hWkaYRSnV9f37QQoTyWqlHFB+0mNGzlvlLX9JsFHB/f9+FSf2V5NCkrHAk5LCnE0QGXL6yVK98f2msjYF1+65ttv39Ecjg/ZxtHDN1+HHHoSyHcSnv049ZQ2mY2J3Mt06MOmxuFbjkr2TTL3P7HONMqXMfOFzVF+lmM86VCPNLat1bl+u8egDk9x0qsSeKTPW3pN2rTHGGGOMMcYYY4wxtgdi1HBdW8GDH/xgffXVV99tzxtjjDHGuKdhwkA2f19/7kHwRwsd29lL170s//GWD7YdOzib5fBKjetuX+J+Z8/gK1gouriW5PBqjTRzyWzW5rI9RWwhqPfYkc+7Fvsns8iUDZ7yzz8bbr6+d8ZzOSa/ei2eYxQRKn7El25dROl0RbmcYzGbc8i7NhJj8KlHIbcstRM+913xMCTbsxGf2Bv/4o/fzxWX7GQi5w665R5DzpF9wz3enbj/zomR1XyGxSgGvmFgCMLbT0q7+q5ljm+MpmZ9X0bWkXz8ZrN5ddZ0lsecNYkjBbYlcYcIkXpvhgBOlGucOgPDgs/nXR521gzQJM8/9MK9lNZXh7o/l8tx9S0nty0/hng4eMN1u9WDR03v7lIvVkpzZ8cYNwg51zhSSCEaylVnzw8XLvyPJqZ5aq4wkmL451755zzjF57WIKw41uA+2rbg6HqzTTziwDS7Jr0tqeLd2xEptuQsUa6HnBygSpMGR27uucWMzdyA8MGDoTm2WtsyaTQtPOqZhmEUjO4pdIaLHvXe606sD3WtI2Ey6zTCoG4GU1m7S+1LgCH3CKj4UWPjvhO2FJw3a/q3U5U6y9UAKZpOfHN5l42ayVs90hRci9IAJ76sIxtEojSFxE7sLLjM5bpJT6Mi1IrjG7UGqXkw4SAd8694Kbmbrks9VzvnIKt//x7yns1yy7v1qy+TGXsoovVszkl1kEwUwNAm4sYwZdoPD9w10ZMAv37ZcESKLlz+YPL/+K7UU5txZLSlIcoeH0A07IfJjJ1KgEug0dxw0hBhzp3JkUkJn52GWhQh0KnkxowtaV3+Dwqd/f2TvfuJubxLGCmmcy65lLx1klQs2d9ZYNg+baVW5+gI46ZjCc6dzvd0Eu5sh5Y0/U4QtZNwBrXXjCNaylM3FChNyBfIuBK0aCGwGg1YS5p000ZlIWAy4yClIdMkhNkGkSwmfybHtNaNyC86viBRZ0wIuAkRZVhSUitmv3cTjiWZm9h6f9iJfvOhfTNZo/jYerC1HFpD8cQ4tVFPnacIAWU/oB5qHFtwcqNOtUf7v3RhsmueYkvBqUqdo+s1znreU2B5ecg3hFsDn+fGYcH74YbYMTfvGcJcv3bRamNxY2J7GrkuDXeslNk7lSVjWV3vuVrzObLeTXrK2LKnQ4kQcNFcMTUy2d6ZDI7VbTv4/vE1bu+xZmpVwU1QjyJuWSo3fs/kHEKl8SyJ0oqzZnLM5jPcdHKDu1baicdnz2SZ8Ny4HZkoYWl9UmfZ9SpLKWhrj72IeSfKNRbjtVMyH/IsSag1N5wsc/5crqv9X7owAcKQj284sYHGjFULBRdbSm5brvRc0xY8iz3FDHYPW41nS3ZPZxh2LeAHEUdW2+vCoPrVUPJsOybYM51tqR/JG6TnI1m3h5FirRqw3jGPNIrEDqFSbNTS532OBTsnMjgpJGilNBu1gMlGJL7ufPRSEE67RmsTtaUT+2ezbeNPL3vEIDtF1Q9ZqwRt5e5YAjWEo4otzVo/VJpLzpqjVh3sOPWy/AQvLU72v+hv/4n8wx/ZdsiPIpROSPNWw06QcUTD6UEKM6YGCrKOYGGqOReqBxFH4/rWWiZOrCx8+0qZcmflijGVtblofoKMKzm13pton4nnfZ5t+szO8ss6RgU56R9cW+CntG1bGuJzp4N3P1jStMEw0qw88sFQHsHh7MBZ5P/nSmzZWy0/rW3aEn6wWOa8uXxqn9drTW5LWJjKYEvJ8bXm2n9UYYL5HTu560hvUnHrNwdTPxyrqfwexSr5rfP15D1dW7BzIoNtSUq1gDvOO3ekvDXgZci88z8o3v/ivg5JkTbnBBqBxLEk159Y66pD+694WKNH6eUQoIEjn/xG417HEhzb8LnueJmDs1kjKqQ0q7WwoU78gpdfgWyZYQ6D5DkFz+LwWp1TlRDXEuyd9NAafvLihUa/7Fn9Ha3GGGOMMcYYY4wxxrjnIYS4Rmv94LRzYwXhMcYYY4zTiM71sjUzQ3R8NC/q1jQ04NWrvODlT+az//55VqoBu4oZAqWoKc15B6ZJbBTHN/qT1ZaqIZ++ZQUJXLanyK6i27aZO5dz2JHPkHOtxkaREMZguHjJBYMzXqmw9sALyV97I6fW68wUHB6wa4KKH1ENI9ZrIbYlyNgWecemurEBj30ktQ4C9exlD2PpT/+68fu2X38dB9/+hsHPHwJJ2f7O63+OQx/76rakebrQK4Tg3Y25nHNamXOJmkiYYoA9k/CjbAwruBauLZFCNBTltNbM5mwesncCKWioI5w3l7+Hc3v6YVmckeRggPvvniRRcE3wzZsOc9nZc9Tr/dUJXdfdVnLwMOjcBryncLc9X5jNWT9UQ5MLs67FzskspVrAejXg557xpKHuk8AjvOzIdM/HvPW1/OP5l/Lzly4w4TkDSQRCaL53bKOtDCey9o80ORi2PmZEg6RVe2Cz1NyNWojSih0TwxMD2qFZ2vC3TA7+UUMSTaEXCfZMRqBgsWyU+kr1cFOE6bSaNp1zhiKShkpz46l2tbBWWsBi2W84OthSUA0io2goBOv1sLGxnLEthDBKes1wu8M5OlVD1bIhLDbd7wkNa7UQzzJqXKGKw4xLQc61hiLp7nvKw5G6qTzWCg1kbruFnU98KJUvfXv4fA15XaT1QKXhzJBl2g8akep06tlb6HCv6RY0sCU4tiTaRJ0OFczmPCrx2nczENoQHMp+SDWMcC3Jx25abJw/ZyaDFVfuu1arHJjONeq6FAKBaNTLQClObPhozDc6ayoHKZ+i8/v1I/v1wkXzhYYatWcJECK1XxOindwzyAl12CVx56NkTKJ1pOBUxe96TkKY7IXOc5EyfUYnyUb0ke13LUN8ahLfROyEIImUbpBb28vapJV1+6u0ax2wMJXt8wbDQSnFnUuGFFb+x3dsKo2l//xPLnrZC7eclzT0mw9t1AKm8157X9X7B2DaSKsvsWi5ZjbnUQ0U+2aynDMXgdYsbgQIAev1AFsIPMfCVyEWVlcdORoTZ52rvkjw4PsP9X5Vpfi70mDHnP/7r+81qsCBId97dshyHwedpI4mbVkKo/yvtDnWLID2cUNrQTmIuDlWQ79gLs9s3mM6b9TAT9zVXE/O5pxYUdEoS/aC1hBohSu6O59KPWIy133c6SOtPYzwzXIlQAJJyUa6wjWH08v52Ead25dNG7hoRwGtzbMHETNVj3wobRw8I6Ub6rlp9y622BPsmChajxTTWYfzZ7vXcLuKHohEYV5wwXyB9XrAhOtgSaMinXWsruhnthTsm8qStaxUknaC9nZhoCF+D9PX+UFEpDWOJTmWoo5p5rQKrdOJikFEox43j2lOrddj1WDRl+LW+k1sSzKbd/FsiR8qyvWIvGcxkXViVVIN1LtIwvNFl2LGTn1O4kwxFatN94JO+beVLNx6TgjBWXNZKvWIUj2iGkf2a50z9qtruuMaoxauUFpTCyLWOgjSbhxNbdAUJlGsTerntbee4tEPOJvlxVOp1wvgFYVJnleY6J8wwMtfQjkmCWut8ZXilqUyQhjb4p6JLGAUpQWCnBs7ejReVjFfbHU4aX8ZxzJRE7U246clYDbvUF5tfuvEsdq1JFMZh9miUWuuZ1VXmTXeURCPyboxVtcCRSYe9zvbsh9qsq7scqpyrPR23wtGzdpBaU0QKlZGIQcD3HkHluhNDralUSu2Y+WVMNKU/JDDa1UinfRlAive/6mFKnY6Tq9EoYLDyzXOnssxm3cJIsXJDR8pJWqEUDZ/9/Gvc+rUKebn51PPdw4DShM7W5i5WD3+TkobNWfXNo6ek1m7pR+AvLcFOkQYEL7rX9FvenPPS7KOJFTtc94gUkxmHGqhIuvG+XjMg3oqhSdIzu158sNY/uzVaOAbd61zqhKQswRLazVczwYBk57VIAiLvj1Wb1x/ZJ1d01mOLFZYqficPZ+nVA1YqUWU6iHFjHGUUNqQ98cYY4wxxhhjjDHGuHdiTBAeY4wxxjiNEKJd5Wbf5z7LHRddvPn04n8l8NgXX8F73/ahDoXd0VfoCrjmiNlQ3z3h8sBdReZyDkXXIeda7YYsDWuvePlI6Zcf9SD4yrUIIZgteNRWauQdSc62Gwbp8hMeBSvpqirFb3+D4hUPgz/9K/JPfgo//Kmfhre/oc3YuhUIQEb9FcSGgRTG6JgYMtuMxIlKT+NAusHXliYkZBq01kw6/UkBniWoR8OHBBsVF8zlcS3rtIeUqsfh2Xqpq4yEsdFqyyi4FhnHqDCU6pFR3EtRhnvAQqFbWe3exW/aHPSZV8lsCQ/ZP0PeNVP9Skd42G/fvsg73vpm/vrNr0+9/1d+69X8zqv/991KUNsKOfhMIRaPCikE8xMZdKzctlr2KdXDvn1scs4Spq+8+mtfGepZD3I9vBHJagKww4DHnDXFai1kIpOu/mxLQaAUSxWfk6V6qmLSGFtDZYDSaS9EavPqo+W64s5TFfbP5foSCLqgNUdXayMrbY5h1g3JvHtb5kD3AJYrAbbYHlXl2SHJwcMi6T8TEk+nWjEwUFW4H9ZrIeu1hERV2LxjRHxbvaX8NGZjvhpEPZV8ZUxk2PvURyJ1b0pN6/HsYy+Hj39tuGwJwWzeYWkLKtHbCUN+6mAw6dghw7JgC+u7JN1Ia/xQEw5Q0E2DJU2oeaXhrKmcIaJjVEzLfsR01kSuqQYhh3qEHQZDTp4rupw8XqdUD5FScLhFQXWh6FL0DKEuUJpblsrYUuB2sLu01puO0qK0ionXIrZtGJU2KcCSggs6HALNOt1EBBI01f+koKtfa1XWTH4b8hmN+wWxKqDSjWOpaFkE50NJ1pEoZRSrJzM2ecfMY6azDksVn0hrVqohthRM5xysPm22Fwex+3g3abhfdqVsCfXer88c0J1WA0WlHpLbCvGl8zFf/OzmEvn0lchfeVFfNc3Nol86q5UQ17ZGIv9orTuUEptPKGZsZvIuthRY0oQOVzoATaMulX/84bC2hsLY6PiVX8d5ycuotNTzHy6WmX3W8yi+/z0D8/KJapkv1Purdv7Oq36PlzzvWWg0y+WAI6vVvnNtk/+4b2yMgwwVnapTUPXmxTKXZx2EEFhCc85sLu5borbxej7voL00RxCTCaUU2ZSoMlU/jJVa29+o3zf1lcKi3YaWRhpufdtec1Rbijay6mLZZzbnknUtFiay1IIIRwpWKkHbM2zZ7Ns8W8Sqwxopzb+J0mTWSVdB91vGK9cSrNeaZZn0hQkcKbhwRxGlDLHPsQSWENRCmM54LfcJDs7kqUeKO1cr1ELF7gmPmazbID0nMGOeZr6YoRpEZF0rdjwx17WSUk+t19DAzskMq5WAsm8crnKuRamDGD5dcJkmjkiiNSc36pTr5vpC7EC6WvapdUwr5oouslMNvAUNcmzXCUEh46C1ZjpPx/pFMFf0mC0YtU0pE6X2dgJ4g+itjSrxRi0k0oqZvNcgGKblpZlSnIYwzwkihR8qitlmvRZCks9I8hmHmh9Rjh3VEozSX9aCiONrvdXypewed1uRqOCmjVlf/t7tADzjcQ/hhzff2Di+e+8+vnTtTSw/4MLhM/ryl+B97ybuWK0SRJqZnMNa1SgdW8Io7IKOf3cPh3ctV9k1aUjjixt1ai3v5EcaR2ssKRvztwntcNG8TfKFZvIOUzkT0ag16em8ix92v38n0VdDHMWJvuN71VcNFWTPFg11/mEhBURKEYYKIQVL7/zX4W9ugb+8iDU913W8Eobcvtw/gtWxjRpnT+eoBpoo7ittS2DHKsiZuIwtAdMFzxB3Y28v1zHO7wA3Hd3g/IXhBSOe9eCzG39PT8/wxj97My980UviI7pNPbgVnt0kYGtiR9CY7O7aAr8e4dqSDMaRYCS7RieiiPBTV+K//v9Ai5OLwESA8GPiuMRETzuxbhw/hBDsLHis1QOOb9RRh2+nwHB2suSa8PrruMrZ3Wgb1YrPNw6v8thLdnPeTJaCK7nfQsGsB4VAbCLs42e+djtnnTPPrYsVHri7yFXfvIu9O4sUCh5/+vGbeOPPXALEBOGRUx9jjDHGGGOMMcYY40zBmCA8xhhjjHGaYbUYgAuF0UIs9YNTr7FvKstty4PDfg2Lo+s+R9eX+MkL5pjKuOmGr89/ZrRE47BkfhixtBHhWolBzpg5Vn/sYbC2Njid1/w25R072HHxJZx8yjPZceX/jJaPAdj1S8/k2Ds3n6ZrS668efjQkZvF0y6cbSg9T2VsbCmYyDgUPYewgxx8ZL3C6ibVqtJwd5CDE0Qaoh4KDGPcPXAkTGQMOWfThJkfAWZgf72xewYPOzDDdC7ZINSspCgc/8orfpdfecXv9kwjCZt8JqKTaNCppHO6nnO6YDbZYbbo4diSpVJvRer1aoAfRpTrinK53PO6Tuyy7E01R0FTxWq9FpJzupePR9YrLPYh8f2Iiwff7XAs0QgBanUQHUaFApZLPrPFeHN/IMbk4O1CH7G8exSeLZnIGOXdnGsjgSMbtTYSe6hhLmOzVAlG2hRvRdGzNk2Mv7ejX5H5kSZSIUXPalNoLHo2G/UQSiVkFA294SyVglIJkjXq3TTsB5tURW+F6EfS+Min4amP25RDaWZIcmc/OFYcjhpNLlY1y7eMnwm5EKA/TSMhugnuXKlRCUKmsoPNuAtFj0nPbUtj3Q8aET5Gh2iotCVIVG/9SPcMUb8ZGEVEsIX5I1QxyVTQlYd+mM56eJZt1C1lO6mr4DnY0jJKmpOGwCVFupNua746YUhA7XVFSkNUSVRZW9WA/Ui3kQNHqmtDVOSVsk/W7a8KOhCtL3rOQfj+daOncfH925Laznn6oDFl1L6lV3KWgHI9MORaS3B8tYYlBTlXUg8U65ffD1qUERN9Ut7xdvx3vJ2VpzwDfvO1zfR+81WwZxe87S975kVIyfNvPszfXLyXtdXVrvO2bfPD2w+xsLBgrkcwk3fR2kR+6AXHFi32lK19AQFUahF31stkHMnOqSzXHF7rina1Wg17qk0C7Cxketb91UrAVAdJePdElqOFGidK3URIAbi2cYqwpGC9GlIfUA+qgSLnyC6SdM612tTeT5V9TpV9nnTBTiwpGkTlHROSE2u15pw7UjiWcV5o66ei1j5TUA1aLaE0iHZKC6YytokgoVQboTOM61nSd+ybyhrlxjiRKNIEHd9VCjMO1UONLSVnT+fQgCUkWhvyY6JeIBCNctioBUzle8/5NbAwlUEpzUrJx7EF+OkOV7OFDqK3EBQ9m2LGJus2x7Gwo55M5x2k7N8f90LDKaFDjbftCgFWh/RlWx+lNUdXTHtXWhMqbcYkGTBTaC+bTieIJJ0Ta7Wu+m1bsu29E2Rci4xrdfWPrTlMc75NjmUci8mszVo1xLVFHP0vJizGY0wyJ+mEI41ic2dz8WyJFLGyvtZ86HPfAsy4rzFK7stP+PGu9AYh/NgHmXvS07hjqYJj2eydyuJIQ6JtzV+kSXW0ORYTobOOxJHGCudYhuAcKBMlobWUmo56goJnHBs6xyMRO2wfi4nLjTwojWuBFdfFaqAMSVYK6oHq689TD3WDJAwQCd1QH07qVVr3aEvjSFX1Fctl4/hR+vf+jiW9oN7zbqxfewVgCLR3rprZpiUF0zmblUqzzWYdSca2yDkWE55xluqUHUnUmZOySDDf2hlhnDw2YsJ7qDQ3HStx0Z4J9AhKwgArK8v86i+/lLe95S+59rvfN2re2tTpKFJY0ghYaBL17ZY+s6VCa2Xmkac2fFxbsKNNiXrzEOvrMDkNxCT7ULXtWxQyduyw1bTrSSGZzpj5eekpzxv5mfO/+WIe9tGvxYrzIZVawKPOn+XgbI6dhQwb9ZCjGzXWaiHWE36SqU9/dOi0k9K74PwdBJHGDxU/XKyQdyRHT6yjNjIslgNuPVni3B0FIg124pQ5xhhjjDHGGGOMMca9DptbcY8xxhhjjDE0TscGf5Lkua/7te1PHPjYzYt84Y7lRjiyBOXSiKGtkvs++N8ITGguPzJhk4NIs3rk2HDk4AQveT4CmPvEhzaVj35wThzd0v2bJUAMQtaRPGChwCULBc6ZboYNvd+OInsmcuwsZMnadhxasN14fGAqt615uSeMP1XfbLCeaUSZPtpV9wnM5BwQYsvKfaerXZxJWKufGUp6CYqezXSuSQrZqAZshufih+pureXJptpmSaxJGvd2dKo9dyJSRtkV4AP/9a6h0+0V9nYYnD2TpeBarNR81uoBlSBESohQnCrXGuRgq0dHfV/vL4fBVkogjNRQZH1JU/WyGph7tkIOTrBeC4mGeL7ZUK+itY6VJscYFUqZb2jUvO65Hk1glKIC3aw/GVuybyrDOdN5duQyzGQ9MpZFpHUqkXexHOBagqmsjRT0jJDR+eSiZ+FYhqxSvRcTzQOlCNXpIThH2oRvn80bkmnRsxpz9L3Pe8rI6e37uSeRcyS5mPjRC0rrodSDh2n91cDkfy7vkHetTc7ze9+Ujwl0m0EtUA3Cmdfxn7OJeLpGwSy9/kdKDSTtLlYCXnvlzRxeN4SlTmXqtEAWtVC1qVsKsbm890M1UCP1U9VAjbQu0NAgLWUdgT+iorpRIhZd5GDPboazD2MilTWAHNz7Gc0ytWVMuo9/10LVCHWecQQazclyrY1I6Y9AZhVDvL4fmVDzW0HbY1712l6X9UX+N17ZnqbWhJGKiWt6S3PSNGXYVqyWA06t17bshGBbEj+CUyWfu5aq+LEaYdVXrF92URs5OEErTWr6yg8x87pXNM5JIcj/0kvJX3sjvP5P2w0r+Tz5a28kf80NANx6+BTVQFMNNKdWNhp/b1SDBjm48UwhmMqZyF+94IdqS+1/R94l75j0J2PVVwUxkRRyTnf76edAK6Bhu0rDSjkg6Bj/hRCcM5euRFkLFXumc8xPZJgpeOyfzQ2l4D+Vdck57eWWVk5zeberDxdCIGNyZTWIyYmRHtAnNtNO1r3VRG1SWOyZyDGbd7vUXqcyDufPFbhwrsjF8wUylkUQGTuz5wijhAskr5J1JK4l29KxpcRu6eeqvoqfranFqqgAK5WQY6s1Bq2qV8oB67WQ1UrvdWsxJfJM1rO6SLKtbdW1ZEwO741RHA1aibv93EtEy7VBaEjB9VDFBFlzzVo15M5TFSr1oJFSpxNEgomsQzHTXrf8zjrdcY/uON4vzzpW4Tb/aXKeRcY246QjBRlbNOoXGCXjTEs7dSxB1pWEup2g7VoiJpab+hEq3UaETdaWgQJOHU/JWX+svubVVP2Ii3YUOWc6z2zWxbPs1PZaT7FFTWRtDsxmWZjKsHc2x44Jj2qgugjOaeiaO8X/CowNY+dEBilMu3ItGiTZpI26sVJ3xe89p2ukrWnLk9LxHAhT3p1rIiHMOiuMna6Sd9cAmc3Z9O0dc401ZdIXLFUCTpZ8ViohjiWYyzvM5hzOmsyxq5BhKuMihSDjyC4bQieRH4w6dfzGDcPvX/7ZG3nmkx/Lb/5/z2d1ZQkh4Is/PMX7vnOUydmdrW891HvcdOONPPjyB3HnUhUNjfqn41HGKC4bQrZtmf6vNeutzc4PNYdXqhxeqcL+A0M9PxVKE0ibrCOw4ygQnV3/ei3kRA/F41oUItVotlYBSK3JO5K5nMP5c1ku2zvBZMZmqRqYCCNCUoj716Xffh0wmn30tvkDfOfwBt8/VuKB+yYp1UPOOriTvectcN6+aR538U4+e/PJxvVnqJbEGGOMMcYYY4wxxhhDYKwgPMYYY4xxmhFHWjotxKVdt1zPwdksh1ZrbWFotwPfPVbi6Hqdn3vArmbmnzn6pjMAr38d+lnPpqsUnvaEkZOybr0ZtDot5TmXd1jcZNjc7SZCCuDyvRNcsrPQUJxSWnOiVGPvfJZhDGqhgj0TGY6sb1YtqjNPd5eeZjtqocKS4MrRw1VHSiNFd5hlpZvbVjoOkwvGwJhx0pWXSrWAMDIhNLeysXmmQmuNEDCZcVjetpDe971y6sSxbWpf24GsLXnswTla+4fNEgV6KbecSehU69lutCoCDZufzvtHxfxEBq015XqIY0mCSLHcY1xyHTf1eBpuDUdv0xrQUrJnOsfVd62wWg1TFaISHJjOsmsiy9WHVhoKskKkb7b/qGGzc8FImY2sYYYc7zS217IfMpHtVd8069WApVKzjmWchpbelvGjpEzTupm/rYmOAFsK7lwrd7V1SwomXFMHHGnIU4OUouuhph6G8d+qMc82yl+SUGtqQdRQDHUtQamu+qoO3ltw23IFSwoumC2MruY55OuvVQNmc06bM5fl91ag7wUZRQ31wNaW63WE0rakaHMeTfolpQ2BxBamvQ4i8IGZY7SSjaeyNqvV0BCVXWvT67FW6Oe/GN79zyPfl/TVgwipljBE+rT+XYqmWl+/dn1ko38kIClgZ8Ej0nDLUpXFckAxY7Nv0kSJ8COdWl8Wyz5F1yJr2436txVldykMMTBBPVRt5BFDdulPCFTa/Ge3ssGNXGPX9Z3klGpglHdHIxinX9zZHD1b9A2/Dk3lzlY4lqnrljQOAd89XuKs6Sy27WAJQyAMlcnFDxZLbNQjip5NPYrIuzauJWOS13CxSNKI4GlYqfjMShdnk2G0W3OTLxQYPlZFO1qfXPEjTq43lV8zjiTrWBSzTpdzWT2IWKsEVIIISwhcW1DwbPIx2XBQLU7a24wQaK2p1EMsS5Jx0gm0UzmHih+x3md+2/pOpYdcMtR1Gihe/TWWSyX2751nwnUaJZt/2k/D0366z0s0v8EwEchsSzJX9LoUMBNECqxN7v4IYD6fYT7m5jqWIbuHUdKWNLsmMmycaq8paW31rJkcthR4tmTPRJYjPchTAOvVkLli+zeby3s86uwZrjuyTjWKGu9a6nCulFJg91h7FD2LB++fQSnFzSdLnDWVI1CKO1cr+FG3zQgMaTUNIwpiDmznkVYcWu0eE/KO3aJw3sxhqCD0Taq2ML8F6eON6rOu7zxXCwzpVPb03BF4joQ+JpCck97/CERXOSxMZjkUR8Xzo0HPHp0cPOh452/PkakESTD9z+KGz7SCYrabyJzkOu/ZZBzJdA4irVktB+S99vrcSQhuHtcxwdSsr7QmjuTSbFdaa46sVOkc1jO2bFOtTxBpEKEi6xql00Swo1Qq8aarHk+guuvdxbuewC896q1tx0KljerwJqYTyftOZ50432b8zLoSFTuPuJbJfzJf6Iomp2lTl/Ycmz3TgpPrNbKOjdKaUr3bOW/vTKZLNRqa81UhBI4t2TmZIYwUtSBio9aeTutcLrFvCFqjG7TD7qHaTJyOJU3fbEuBELrtuykNeVdSjxTub/0O/ktekJpOP1Se+kxEy4eazblt64UgMuriGdvMu0NlysNzuiP4WZKuugamD7z9VIXFxUUef/n5hEHLGuTab3HVRz8IwM/+f6/gub/2u/y/z3wbgN0THo+/eA/12nB21Buu+w533PpDzjr3vMaxRDVYawiURkdmXt6pHt+rv8h/8BOUH3TRUM/vhJiYwJsqNhThe6ESKJRWBErhWXH9DAIOrdbYLD05VJrQj5jLO6xWQ0Kl2TuZAcycJ8lRPdSszC0wvTiYyJ/c85bnvQFbCi5YKDKVd3nw+fNUI40QAl+bNYeuBPG+gSBUxPPdTb7MGGOMMcYYY4wxxhj3GMYE4THGGGOMuwFSnB7vWoHmwvkcF87nUBrWaiFfuXMERd4BOFUOeMc37uIFl+0x6hpLi9uWNjC6VR3gBc8FtqbGlwZtWTzswAwgULFiBPFGZKQ1kVK897vHkMKEFROY44mS02J59A35fjh7JsvD9061HZNCsG8qSziCINlcztsyQfj8uTx3rlb6KsGcbkQKIvTIhMUjK4Pf3bEgaCnTnGsxW3CxOzaD1qpBgyxw76eutEMD1xw1m9cXzGXZO+mlhr0bOd1hd7PvxZjNuRzb6A53ek/g4WeZPqwVGbc9DPko8EOFZw8mgW0nWjfLelXBUYm7m8Wwz+hFVN5MHg1RQjAZq0BX/d6Ehaf9zM/xx7/3G0Ole1MYcFJFnDVCyFYB7PqrvyKMNKvV/mSt2bzL7oksUzmXHz84zx3LZY6u1agGEU6PjfUfJah0DtdAVP1waELU6fRbWSoFTGScjh0gTbkWcnKje/5z3+/523FfmRNIAT9Y3EhV7q0EEXesdlPF0hSleiFRFa4GimpM80pIpYWMTT26b5CDE0RK46sIb1Rm1pANKFRGgXaTtzeubS3x2XxCYute29Qr6XOBnGORcyVrtZAg3kgeFRv1iKk4RHYlUMzmHAKl20K9j4rcb72Syrv/ebToBKKbvNQLkYaoB7F0KMFs6FlW01mbHfkMniVZqwXkHMl5czkKrtVO0kaTdy0qfve3uX2lapQEHclkxtmU88FExoRE1xpcx8KxJForlko+tZZpQes8MY1YlZB700rLsiWdtM+0YmklF9uWGKyQ3+NDRkrFRPbkWYNna52X2FJwaK3SINvMxYqXd6xU2Rkq9k1mIXZ6qLUQGW0puGO1ygWzBTzLtGHHGtIBdsiKWQsUR1Zq7JrMkHEtwsgoNzvDVsrO57zytfAXbxzuXjDquNDW6ModBM5aoBqh1nOejSUFkTKOqquVoKFKH2pN6GsyTkumhiiHSGmOrVbJOpL1WmTUdbOmb/I6iMJZ10ZpQ0htJ4K3P8i1BJYUlKLh+qSkyux97lNY//TXmMo4Q6lc9ochQ6X1G5YU7Ch6HF+rpdodc65F0TMKsVsZZoPIkPUFLXYWLZjK2A3VbICJjI0lTf+V1P9zZvPkXBsBVPqsb4jPa1w6e+/pnMeD9k1xasMHofn+iQ0zP+3Avqkc5aQeKU3WlkxlHWwpybs2Wiv2T2Yo1xW2FByYynJ4rYpSNMhPCapByMmNOmiN0lDIWMYJRCkirRoLU9OnaHT89ZXWbNQVFT9ExdTYSBunGhUTQI2dUbO7mKHs++Rdq6EuKoWIHXAU+VgV0pBHYyJY7JyjlCbQ4NpyqIgjaagGipwrG2NJ1Y/IZ3r3GYWMTT1UPYn1M8V2p8J+Tr12BxnYjxSZEdarnRjkQDzIjiCEYK7gsVYNqPghExkHxxLUQkXWsci4VkONVvRJMyGyWsDOyWa/0/nc7nwI1io+Ky1kzkibfjxtrE/Qi9ScINRgKR2T9AUfvOav+czNf9/z+huOfYbfe/8l/Nmzrms7bluSYDN2/Bg3L5Y4azqPjRUTa5slIITGbVH5r/lG3TrvWUzn3dRoRa5tsXcmR/IFKkuVrm2GtUrAbMFrm1sopTi6WiWIYNekR8a18IOIcj1EYUjzkWqqgidtK+ua/LX2oxnb2G9UvD+gNF0k21aYPlSQc0XPb1qLVWmdyx7CpnYafvVF8G/vbfx0pMXF80VqUcRK1WdH3sOWpl4qbXqtMM5357zEtSTVuFB//xUv44Pvew9aa6SU/NLLfoN/+bu39s3Kf//jW/nqpz7CX3/wSwDcecN3hyYHJ3jly1/E+z/55cbvpPzjbhfHEjgxkTnJe5pzVxt+5tnwgfeNlA88D/t5L0AjyDkCLYj3j7ofpLXmeKnOSjVgz0SGDT9sW9eMsj7pTH2xHOBII3JT8kNObNRNenGClVDxode/k+f95k/hBsZWnfasJN03/NwfAnDR7iJuPsNGj050w1fcdLLERTuLgCnfsRbAGGOMMcYYY4wxxr0PY4LwGGOMMcZphtJNcrDWmrte+gr2/7+3bkva2rIahm8wGxcX78hxw8nKtqQPxsDyz9cc4akXzLFzfh5OndpkStu04a8ULOyG40e3J70Y0T/9OyJW5rAtgdVCaPLDiL/4wh0s9Qmht51wLcFD906mnguj0VQ9Q6U5dybHrcubqxOXLEygFBycKW7DptbWUQ0UmTjM7PZxSNrN+RU/orZSZWEy07aJeE8pKJ9uKA3fOLTe2NC7ebFKpDRnz2RHIv6k4Z4kld9dmMg4ZwxBOO91Tu31UIpYvWDIL+puVxIepqXd0+Tg1vNp121Hb6G0ZqWPimI+nx5qtxf+obTGH03O4o5A3pr72Z/ha7cv9n2XnGPxgF2TjfrnWJLz5oscnCtwZK2/OuKPChIyxSh1IlL9v38nTrd6y0YtoJh1AU2pFhpyRgqkGI00el/AfWVfbLnqp5KDwRBfWtccm0UnES7hBqxUQ6ay9z3z1J0rVQ7OFoYKd97ACM1ntRZ1qQiPRIjtwFIlGHl+XQkiKq2edpt4eKR0m2p18j62iOvIJiCFIJjfiXPqxPA3/fv7N/ewDrhxxgf5V3U6djiWYEfeYyrrgBZE2hD7HrZvIvV+gSDnpBOEwaiqBfWop6PYoKKtBZogJkRWN3xDwLB6E1pMnprIOhI/MmGUE4JqK+EGwLZAio55Zo+MmdDchhw3SMVwOucgpGgSk2NlNaV0m3p1LVBdzqLd72RG8GQcF2h2FDyWKgFnTWcpx2THyYyNK0WDGJR1JLYQ3G9nkZOlOlIK5hIHsEBhS4y6rRyC8Dwijq/VmCu4rNdCQw6V3Wq9aegs+vzzfpHylR+B71+Xen0bHniZUcftwFzRw7UC1qrt/ctiySfvR0znXap+yHI5SP30G7UQIQT9darbYdQRzdUVP0JpBdoofidEr8mcw0TWAXRDSdos/Q1huRWWFCz+1NOGfLqBAOzQZ/9Ujpwj2/qDJIx72vv0Cl+vlKbshxQz3REdBOA5FnMFjxMd69LJrM103qiOT+Rcan7EqY36wP6pF5RuVyp1pGTPRA6tNYFWHN+osVoN0UDesZjMWFT8qKHEqzF2UTtFldKzBVFM0g0jhW11Kz8n5WMJwaW7JnFlkmqzfhczDg/ZP9PjDTTH1mtce3iN++8sUqpHVIPQrGM0lHzF1Uc2ANhTdPnsdccbKsU/fsEcDz6nV7opT9KaQDFQxKHoWVxx/gyL5aDRXxc94+S7VA64aL41wlV7rQm04oeLZRxL4FqSc6bzsYgBIESzVARM5WwythWTlJv2tMQhNXFAiZQiDCN0fL8lRQcxXTBbMGsCrc23kFIgpflbAGsVn4RGmyjtI0zdFzFBUsROYq3k5DDS0M357k/qbfl7mD5iEEnYsSWzBZdZ3MZ751Pu6fy78wulf7HB6Ox/yvXBjVUNMXlLSIzfP/yJvuTgVnSShDVmbNusunyk4JalMhfOFWj9cm5MSm0luWugmLGYLWQGpCoa/05lna7oSxu1iFpQaSESG7GPZNw/ttbsMxNnkGROknUlUez8Zkm6ycGOoBa0sCmHIOkrbfq6im/mR5kUW1ukidseiEsuRV/33YHptuH664xC7o6dFD/5eVTsXJKzbc7ZmwUkG7UQpQ0p27UEJzcCvB4q1E986P04cvjO9vdQaiA5OMGxO27lLa/+VV715nfwl296/WjvAtx4ffP9pTDPboUtBZXAEMo9W8RzAOi3dM2/7vWUMzl4zzuHz4jj4Dzz2Q0V7gRZR1LxI46VakxmHHK2hUKzEjvZd4q2hNMz2CvLwz8XiPLF9jS02R5Li/CVOFq9520f5glv/T32/eA7qf2QQvC23/tXTtTMuCraetN0/Od3jvJHTzq/qSI81gIYY4wxxhhjjDHGuNfhvrcDM8YYY4xxBkHrdoPEC97yefZd/Diey1tNOKotpn/obf/Sdezsmey2EoQTfPzmRe73F+/iob90xSZu/ty25iX/8c9sOhxUGjQgL+id3h3L1buNHOzZkp+/ZIFCF9GviU6Fj0HIOTaTGZu1TahwVYNwdOWz04xaYIx9thxScakPco5shFVuhdJGDcu2JEGoCCLVRng6U8lAxb/5cyav+hioCP/A2Zz8v//W9/pImw2rzk2IW5ZrLExkcGJjnwCyjtlMSjMY98KPAkXM2YLCzXZi94SXejxNXXBUtIZBvDtwT9abfqpDg0jBpwM6VnTJuhZZ1yLjSJSGSj3EtSVPfMrT+dSVHxkqrU/VqvxKPmC/000sSMN5t/wQMJvsreSzBMmG8UMPzKSQ080m1N6p3FDP+lHAqNEkKvXwjCLaLpcCPMdiccPvqyru2XevQ8EY/TFsDRKie/Py7sYwm5L3BKQwjhCbxclyjWISXl4nY4wh5nSOK1prHEuw8NLn4B6+s3E+KhQ48v7PpKa/VAmYzjqU/RBlWchoeCK3BpRozmMcKahvcW5tC0HeHa28krJBtM+x+6l/CUxZ9UxTw/ynvsDygy5GGlnIVOXNQGt8rflGIc8z73cxaLGlvteQBFQj/54tGxFpwqjpOudIQwDzrEQVVzKfiyN4tDx+UE6kEMzkHLSGP/2bx7O6sYiUcNbuB/Mrv/jPzcKI393oWzZpS21cRCEMOSuGHxlP54Q0ZslucnCv+aElWsJxA6EyqnS2BFqqaBiZNVfWkTEhsP8Y4odGoc8ZoGLoOlZXNBhIVy7VWuBa3Q4MYMjethREvsa1TeSgUGnWaiEXzBeQwGosp7y7mEEKQzBSOiYf24Y8NOG1z700huAcKNWmCr1d0MCpknHkCSOj1lvMprDuOu9LqXD5d72X8l+8qT+J5oUvIf8br2z8VEojY0KyFIKpvIsfKcodZPWyH6F0ve83DyLNUslnKuegNhkuQUCXA4zSmqofsl4NG1GCDGGs+xkaDXfcsqlnR8qQdzdKzbm0Z0smcsPNx4FYLVaj+0yvNJDL2ExFEasttqtMW38syLg2+2Yt/FCxUvYJo/j9YjLrUPlJ0z0VAldY7JvIccMpQ7AtBxHlIGJX0WO14hOERhUziDR5V+LoJmFbSkMOTZrhWiVkttg9lgTxdzT9jiaMYHGjHiuEtrelXiTQ3ZNZ876REQPwwwiNoB5ETGdtLpnP8tkbT3LNze2OjnlvtLFNCIFjaRaKLqVaSKlHAV+2q8BiOWD/VIbFckDOlSzGJEcpQKGxesyRSn6ExvRffhQRKN2y3mh/e9eSZDvWbEGoYkJl89qlcshSOWw8v9NxPn67nsTNSj3sImkOA0satddSLTSEY2GIzjnXIhurTw+DYQjDkTIqzJo0AnS7UnenqnTrc1LT1xo/jJBxumn5llKkznsjpXBtEa/521M3OtS6MZdMYEszLvWbE7Xi377+ysEXteBfvvRrvOxxf2veN8nT7j1w9MhI6ZT/8E85L3aam8k7OLYkY0szP1Ea3VLGEo0YwqmlEznPSq177VNjTRCqVNXlZN6TOI00lYBNNLuu6aHenFt4Yn/VxCIYtnGo0pp4riQa53Lv/E/KD7kEhlSwb8PJE2w88nImvnYNWcdiMudwbLWG0jCRtcg7NlnXOCBMBDp1jnTh3hnq9a2vEb/6iQ+Re+s/srK8NPK9uqUteLYkVAovnpOpWFEdEjt+fO0QESLyr3w1vPLVrL7oeYjvXItFukq/0pqq1rzqxDHeOT3ddT6IGd0r1YCVasDuCY9SnyhuR/7jSg5c8bCRnDqr7/94429bmrXWco8oX+stkRs+84o/o16qsfjNb/HCT/0T2aDKjXsv5j+f8qsA7M1mIFZ0HmaOVfIVJ0t1dhYz8dr19DuqjzHGGGOMMcYYY4yxvTizGD9jjDHGGPdhLK5V+fT3jrLr8Aql17+Pl/7BsxvnRl1LN/YND17Qda6T6Led+H5Z8GBgVDpcfmFh+8hUXmyEtqxOK9+moIHg4Pl4UjSMYTnXolXv4f3XHdvyc4ZB1pZccf5cX3JwglE+s9KwfzLHcVnlVArJqx9uW65wycIEUXRmkT3DeENoq8qm/ciuqxWfpVK6QqJrSWZyDmFMHE42qqXoUA/RsFoNRiKFjYrdz34yzsZq1/HsLTdz4IqHoYBD7/8MFApt57WGbx5a79tn5F2LUGm+ePsqlUBxyc48c/nBm8utz7gvQwo4XrrnFVIv2zPJnqks3aOJYM90ljuXtp5H15L4WsVKEffNDztImeieeOvZgofnyK6Niky8SfvhD3+YYtYhDIfbMLroulsHO9hks9z/Bzc3fl6wo0jFD9lZzJB3LdZqIUfWqtxvYYKCZ+PZvTfLx3sFTYxKEK71kzNMQT/S7nZA0RJO+jTlwxDpDHEy2ejbxN7wGC0Yuu/ScP+dTZXSQCluPlU6XdnqnYkzEErTrpA7Im5bqXHjyeG01p716p/HXV8mcflJqr9dKpk5nWVx6GNf7bpvpRow4dkc+q+rOPCsJ4yUv0P/8j+Nv/OeTX3EtUInNGJb1KYHoRKonk5akVbclNTfj38N72mPZqlS4jzHJYwdbxRmTfuxapm/L62zdlLxpgecz79++hounG+PnJL0R2mkgVa4lmjrA5WmbZ3Sum6RUrC7mKUaqEY7TZteDeoC19Y3+N9//lBu/ewq1eUQEQ/J14Qf4XPv3ce5PzbPn77q2lRHn+VKADTniPM5hx2FbNd1WmtyPcKX21K2OaPVQ9VQBs26kppvyE5GndUos3p2N30rKZdAKWxplIoTMnM9VEbVLlDYllGGGzQX7fWtXEuybyZLGBkFzSBSrJQDHEc2BumE2N3Il2XID/VQk3XM86djFVelNROeQ8a2EJh8S2EIZ6HSQ9lNlNZkXUkQ9nuvzRNj987kGmTdQegV/SX/yldj/+6rWfvBLfCrL4SNEhQL8K73k19Y6E4nJRm/x/xg2LX8aiUg4wxviWp/Xvdo2BqlYZBNoRboTS9sE4c6J6670CTTJOTtfn3LSsmnGkQUMjauLVPH9dbfUzmXSEG5btSjs20RkZJrBa5tsXOyvb0HUUS5Hg2MYGHaQnqZpb3LctVnRyGDUmaOl437k7Z5cUdSpXrIbNGlsxfsJqoahdCNWoU905lYYbhffRdorbAR2I5gbzHDXWtVrFiB15amz3FbxpfJrI0QgvN2Fvuk2w5LJCqggkcfmGSlGuDZFp+7dZlqizT+Q/cWDVnaklhSctZUjvW637C51ALFRj2g6DpIYRTUE2VgIQQrlaa9apCzwVSu244TDPAALmbs1DLvh14q2GmwpSFDCtHuwFIPmg76a9WQs+asgWNwgmFaaj2IOL5ulGNn8g6FjIOMFY477y/VQpZKfkPxuKF+jPkGDYVkzBp9MusQaVja8KkHKt3xWMBs3u1y3JBSUsy6FLuHYrTWLG7Uu4iHQccC07PjPkVrah1hGFZKxweUTDduOvFF6oFqlH/GEUxd+RlWL71w6DQEsPCMn2Yya8dOz83vKQDdVnc1dy1V4+8BQkhDmrUkljAR/0A01ahFs29br4RknaZaeQKrRfig6kcsloI20mkngmhwpAKT4ObGBavDMNBqlzZkf93WnvPfuo7yYx4C5U2szaoV1l//B0y/6U24tsWeqSy1KGKjErBWC9g7lcW1JDnPQghT35Os/fzTH78t5OAE3/3CVeQ77NLDQAhB1jEOd1q3OvM0yzBRoU4ghyAIJ3jkJz/MQdvht4pTXOp6RFpjC0GoNZYQXO3XeOv6KndEIU96+CVc9fX2qAqh0iy19MVH1wdHmAsnp7DXVgdep4EoV2BZmHmnZ5n20EsARmvNese5Y6s1lvZcwJte+Oau6+cLHodjG8+wEW9uPFFiZ9HszUXaRHwZY4wxxhhjjDHGGOPegzFBeIwxxhjjNEKIpmF4bjLL4X/+ef7jG3fy1R8s8rrf+w9+4UNv4aKbvtl936B0geO/8erUc7YU7J3wODyEQWIz+PKP/wyP+fwHhif9XHJZ73OFIpQ2RsvAp74EwNx3bmDxkm6C9GZgHzuCY0muP7bGyZLPky/cQdWPmMg61AKFFHePQuj583n2TAwKn2agtW4L7TgISsPOQhbPsTk8Qsh3peG7x9aZytjsm8yNHHb4dKMaKDKOoB702s7sjawrWxQhutFvr8SPVLyp3nZH6rWeJZnyrNSN+a1g4UU/i3fscON3rzYpgQPPegJ3/uN7YN+5zetFf4L0l+9Y5eH7Jvn6obXGMWtEhat+Rvf7Ajb8gFObUMfZTlyya4I9fVRapRTMFRwWS1vLZ7IB7N4N3WHTPePuw6Dtg3uiJkshOlS/0rFRDZibKlLus2Fk2TbX3bUKQP7aG6mcPIl++k9A0KJm9rCHcd7739d1r2NJHnpgtvF7rgDnzo2+sfOjjlGJrsMQbR1LxGGaTWjfYSMLnC5INu8YIoUhynSSqDe57zrGiNCN/xmMidnbh2GL8nm/+VO4Qb3rnjZF3Shi/xUP465PfKPrfg1QKKCEQMYk2H7QxHysFHLffQ0/dfg2AOalxQNdl4yQrKmIb9Tr1Fsq/sqJo/zlK36Jd7zrA41jfhRxolSnGkacM53HHhA5ot9aqZPEkxAYN9vNLZ+8jT/63Sdx8oYqkR+n0jLdW7y5xspth/n1pQv4oz+4vu3eCc9m/1SO25bLDQJ8r3wkSrdywGTJsYxjU9a10VqztGFKtx4aokvV7yZKGSJu+9FQtRJlmwRiKbrLsBd6cRwSVeFW36aJrEM9iKjGYcbtlvDiSVpJdjoJkVIIim6T4GVbyfpSYwlDmB/0hUMFoW/U8HoN/XqTKoW2JUZSdus1hidk0PzBg/CpL4+cD4CCZ7NWDbZmTxhhkmFb5sMNEwFlqFQzTZW9USAFOLYhtiXNM4w0K+U65XoUO6c3UcwYZc0EpbohvE3ERMLEGTnJc2fNEEIwV/SYK3ZHl+m8txOOZTGVMyTkfgqwhqg//JyzHmrWawF5147J8N3zvU4ona5MaFuSiYzdRYACuOXoCn/0O7/C5z/7KXzfJ5vJ8Jyfey5/9ba3Y1mmX9qoB9QDRSVUBJEm50ouXJhgpeJz50qF46UQW8CT7r+T6rePcv7uCSIhsAUUMrZx4EtpVEXPwrUkkTYk1416yFTGwopJjMZhJOKxZ0+jgO8dL1F0LYqehZRGPXS9FuDlJbVINRSEZ3IOx0s+R1S7fde1BDsKXpsy9lTWaRC8Mo5kKufg2bLhLJzmKOAP+I6jkoPBkG8HwRLGtuR3OUY0/87YpjyDSHNyrcbOqQzb5X6abVGDXi4HrFdDdk9nUknIxmEl7n46J8wYdfnJrEOmRbnesyWWNH2nQqOUGb+SOx0pKMcqn8Oou6M1h5Yrjf7MksbhJYgU9Y9+iPBLX8T+iSeRedIVsYKqjh0qzBNdS2BJwR986qeHL6S2tzQOL65t4QcKz5HIJz0FddWVwyXwT++m6FnMFNr7pbT+qFQLiZSxriZjjxHqN/UqUUrunA8kSsq9EEYa2xKmTscOqZ15yTimTgpp1qCO1ZpBMw9xbdFwZj2+UUcIwZ7JDDnHQmuohxFBpIk52hAnobUpR62NsEvONZETNKJLFRpMN2PL5jxi4ivfAmD9p66Au+7s+Z6p+MD7KP/xG9BaM5FzCOqKpapPzrW48cQGtSDi4FyBUs2UcdJVfPea7v2qreCPf+dX+bO//nuu/ebXRrpvz/4Dbd82zRlCQ0wi1nEXbWwkbVckzhXQ6Ep+/7f/FwC3hAG/tnKKndLi4V6GvBCUtOZr9RqnVLNPO3zX7V3OSlrDjrzLdM5mseQTtChES2Gc6ZIxM+liSh/6DMWnPgarYiKAdr5R8raRm6F+1ZeY08ahTEpj/8k4Es+yGt9KYxw+AqW53858W1rnT7ksx+IntVC1RTTJOhaPPDiLAIo5h8mWNpp3LVOvW/IXKk2pHraJoowxxhhjjDHGGGOMce/CmCA8xhhjjHGaYcmm0O2dKzUs22J+YZKF3YJDr3kTtwYRtx3f4PalCpfvn+T5v/X0xr3d2jrx8ef9Ehe++IUsV30OpZA9z5rJnjaC8K3PeRkXfe2TzNXLXXlMQ/6d7+l97ovfHKxk2HlPi7d5/tobKT/k/o0Cbt0kGQk6UW0yhqRyLTQhQaXkZMVnqZyuIrvduN+O/OCLYiRG30FG0FZoYNJzmNrpcP2J9ZHytloLmcwEFNzh1WPvLtQCjW0ZJY9hN42ht4rRdqMeKeoVRcGVVAK1LSTrXb/wNNylU8BwDgUaOPD/PY87Uwgl/XCq5DdUwADm805b6OEfdZTqmwjzt42Yzbvsn+5NDjYwIYUjzUA1qGHQqXZyOtBrw/vueGYnNktWHrQBv91YXF3n9lMVHnHRPtbWVhrHM9ksX/reHeTz7eNLbscOzrr1lqGVmMa4+5FzJfVQGdU6zEa6lM2QowJDVLKliNWhdJs63T0BDY0Q7GnnIqWJlG6EaE/QV7lvPORsCePiu3fgAf/zT7hBfag5HcDu5z2Vo+/5eMdZ87UPXfl19l/xsK572q8y/x7qmBeO7m53z2HYvL74x+/X+PuUivhUrb+j5Bc/c1Xj71oYcutypfH7ZLnO7jRZPwzhdFAkn4QQ4oe6GQJ5C/jTNzylnRyc9sxAc+NHVvjTict4zSu+3XbOkoK5vMtdq8M5j3p2774658o2NVIhBHMTHl41YLkctKm6bRajrKFGmd0IYQhDswWHUi1Mec7wM7pWpxbXkUQjkCj7Tck2W3pam3Ib2sezx4OU1m1rws1gMudgW4Klkr/p9fAwhOsE9VAbBcr4zq3C/fAn8Z/02JHvizScWKu3zc9CpVmtmHXkWrV9PZlxrDaC8J7pLGFHPUqnUw7GcKUnmMw5hEpT7aEGvxl7wO0rFaazNruLg9auLTlJqbeR0hQyVhdB+KU//wy++oXPtB2r12r8w9+/g3/4+3dwxbOex0te9xeNczlH4loCISQVv8SPnztjwrVrqEeaWqR5+IU7OLbhN5z2rvrhMgfnckxmbDxLmHYlRKO/qYUKLyYJh0qz2vJtc45FJYiox9/y4vkcs3mHxXJAxY+YyzvszHtIKVksB0xlbEJlVM5tKZjOmt9+rKgeRpqVit/2TTfqIWdPS0p1xcJkQnbVHJg1EYXSCNetdcuW5nwrvzczJEG4HkRUgwhJk9QeKJ1aV4QwKsOD1MMTZ/asI9GAH0S4zvZsZbaO1xlHMl/0sHo4AHmO1aVOmmA65zCZc9rW1FobBdhK3Sjo+6FGSrNGMhAoreN1niFpWlYv5yONUoYkHSnTl7u2ZPGb34KXPL/tyvCTH6f2KkwBf+yzZPbtIutIImXyY2uNH20ustQtSyUiDWdP53CkxEUw85dvZfH3LPj4R/vf/Lf/xP7HPIJipv3bpfdHmlMbTft7pIxaeT1s2lGDyIhlBB1321Zv27hjNZXahRDkPJuNjj7ErKYFkdap2g9SSpQ2a/O8a2FJwY4CnCr7zOY9pBSsln3WY5Jt1k2v40kkhKQ+WdIQyDtzHirTJst+yK3LLZFIXvRrHPjj3x1pnqOB646vsXcqy1JsE8w7DmiYcF0mXNioRmRaRDQ+e1XnOmPrqNfrPP6Kn8KybKJoeFvqG9/yDkOYFoJKn36jHio2/IDDa+3OPAXXakSEOXsmS85u7mv817v/pe3aEyriQ9X+kV9e8cu/yH+99/2Aae8n1mooLbCw2JkSiQOMUnkxa8d2kvjr3XwTJ/75nzn1h3/UuK51nbb0kl+n/OznU/AjSh3jsRBw0Vy7U4Ml4dhGjamOtjaVsdkzE4+9WnPnms9ty6YvqCtMhE6gVlecqjf7iLOmMzzmwExbWtUw5LblCpUgIutYZ5yIzBhjjDHGGGOMMcYYgzEmCI8xxhhj3I0ouBZXH28aGhJdznzWxrUEJzbqvP73/4unf/7dXPaVj3TdH2Wy2Fd9gXyhSKhMOMvz5iQ/XDRpHlqrc8tSlf1TGQ7OZtEa1mohi9usXPrRt3yAvf/59zzhi0ZdKdUw9ZznkX/1/x6c2OOeCJ/71FDPzV97Y/exbxk1pPJTn4A+fnRTehKVSy7jUFyGHLqVI298DbpaZvGFvwyXP4wXPGg3odJ8/KZFlmunTy20vomNFqePEbQXtIZLFia47vhwJOGFgsdszkXQHW7vTEEYhxgbFB40gYwN636ohlIV2go0JrTftUdLrNdCLtyRZ6Fgs2n1k3J5aHJwgsT4PvXG17L62v8TWx0H333rStM4uKPgDBUmtxX3JqLJZrB7Irvt/esouHBHYUiCp2Aq52wLQVjdjRIRp5soPAz5dyvPbVXauLtK7Ws3HrqbnjTGqBDCjD2DhuyqH1KqhZTrERqzMehYZmyLIt1FAG6dA8ghn3G6oGk6MPWD0hrPlo2w8cOGFz/TEGllNvfD7jfWjf/F6JL4630qtfhECtFTdx9PyB9JVy2ALuHJlnsSBaXWrl0AodbM5hzyjjVSqOhhoDXctFhG6fZ3P1UOCDvy0cv9L23kK7iSojeciSsZOjuHtLayE8mztuhIkXK7pD2a+mWfeu9ISTrLS13HMo7VUMra+MI1ZJ/1kzinjqdWp2BqlqP/uf0b/2ciNlZXBl/UgSs//N9c8fRncqiDYFDyQ7RWiJToMmEEjjRKobUefZoGlGKktVuvadcHP/4a7vrqBmoIfoUKNDd/fBle0Ty2Xg85sVGj5IcUYgXTeqg4XmrO/Vv7ETCE1x05r60PsSTMFpyGumk7jJNaIeNwYq1GLVDYHSG7bQmyU4kNCJWK1fYM+aIaKJTWZON6ntaltv6u9VGwFMKQo2VL4/TDiEo9QgoRq70lPZDGkgwdUUgIGuHN0WDbEimb+et0AG/Nt4kQ1NqpN6+WwpDYehH+k6s7nzGRtRExwazXfckBK1YbLmbSCYFSiJZ1QHtOlNJta4R6GOGmpKG0IhOHCU/Cf49iAknKIUHaO3dCYAab1rDzndfL1u8Wo/U6KSDatUB3zzsAr/0jYHjl6+S5bXmTAlf2Jmk2Vf0UK+XAfOu4GrWOY+t+QDWIEDRVpUV8nRSC2azbpjArhVFptBN2ecr43KVVH3+QC+cLzVtaJkRJmPjud9axralZv0w9bE9/vRqwVPINSTKOouHYkqf8+MO58frv9SwjgE+8/z0sLa3wu2/5JwAqgSLSgnoYcf+dRU5uBByYyrDuOnzvxHocJUgwm7VxbckdKzXmCy43n2o6jewouASRYveEx63LVZ5y/jxTWRtLCg6tVhsktZmsQzkmdxl1S4GvNEvlgNm8IektlgO0hr0Thlxmx4qvSRSqhKTsSEHWEZSDEEu02+f2TmaZn8gy31Z7TZSR/bPZ3srqUhgCJRAojWdDpDVFz7xLGsJIUa6HjX6hW3Ha5CznmjGxtQvKjDj3T649slrn7DmrvzcFvW0HSZ6FgNW4XAuexVzR62tTEcKQ5luJq1LAbMGlkHHanhkpTaUeUIrXcUGksWJRh0glAg/mfeaLLoWMnWpn1VqzHjvYJPBsQT3ULL721fCR/+ldAFrDUx/H0itfS/55v0jGEWSlKXOBRDP6uivv2qzWQu5YqTCdczhVMX1T/Xf/mL1/8mYqv/wCuObq9pte+qvkX/4bFDyLvGc1yjhpAwnax0VB3rMo10178SNNVoqUuVD3F64FqieReyrnNJVWtaYeds8RpOgvItHaFCwpmC26VOoWs3mPUi1ASsFKq22wR7cfRu12a0dKaqrHvFEbpehdRY9jG0YEZue//F3PPPZD9ImPop7zbOgYThISe8Yx5GBHGqX2N7z2FZt6Tj9ksyZi4v961et425v+aKh7Zud28OCHPxqlNOGAJZkUoivSxwXzBex4DmfJmCy+xbXdh//nvxt/G3X4wW1qudxsz/tnsg2ngJ0vfjE7X/xiACKl+PJtS2x0CFGkdU9WysFIwUIhw4Rntzk4dia2f9JlKmtz7ZHuiJ62hAPTZhzSGtbrARNec45fcM1ae63qk3Wy8Tx9YLc8xhhjjDHGGGOMMcYZhDFBeIwxxhjjNKOVrFHwLH78nCkCpbnxRJnlWFFi72ye79611gj99i8Pfg7/8uDndKX1gD0T/Hax2GYc86TF+XN5bl+pcN5slluWqty12tzMPDibpRZFlOrbS744/NyX8c7nvgxKJZ74j69n7w+/B494FPm/+cfU63spKuX/8q8pv+EP4APdYc3bnveBz8LiBjp+eQUNg1vetTjwcaMWUr784pFiHAlg9zv+keIvPRe+911akoVvGlUtMTvL3Ge/zAP3FPjsraNvMg+Lbx5a5RkX7Txt6bdCKbh0YYLvDkES3lnIEKp7B9WzGqihSMJKQ9VXWGJwKLrNQmtNpAXfb2nrADeeLHPLkuCBu4rkHTEkwbOJfT/7eGBz9OKJL36G/3nu727iTii61sjKlPd1seFIwVnTWe5Y2ZwSy1ZxdK3GdK47fGw6BPNFt21jazOQQpBxBPWgO0z06UY/UsRm0uqkOHQSereDmNx5/+kkDGec3qSkTgjBWD34HsCgEveDiONr7REgHEsOXV/ayTtnNvxQDa9oeIYiiBS3r/TYfLubkXetBvlkO7FrZyYObb99kMA1hzfawmJvBx6+f2JoldLJjE3FjxohYPthLr+16Bk6pU0+8bwZyoHiq3esoqAZ7nYIJGNT/r3vpvycpnpcLYjYqDfrwMq7PsR01mb1yiuZf/+7ECpi6ZnPI3ziT27ldX4k8Jrf/GUufuwVXaHXg0hTDiIKbjpZNFDGcaAfoh4kkJ7oUTGu/sqH4t344ep8bTXkr/7uUfzer321Qc6JtO5SJKNPP+L4gknPwWohy9oWTGTTqKA08qaUbqzNghYFxEAZ0m816H4HWwpuOrXeaNPfOrxByY/YUXC4aD7HbM4xapyhohZqprM2riVZSxQBj3fnpuBa2JZgvRZyzkwezxpOGdOzzbcfdrnYi6DUiWyLUl/784wS/3Y4z1SD9Hm/FzvKtuby7LkcGdcm446+VXB4udK2Tuz13FacNZdDCIFSirVK0Ka2OioGlXkvJcdeMN+A7rr5T+/uUu3sCcsi/6yfa/zsdAzpiT5VJ20d0bqe6VTEbIWvFLct9Z6znDeX7yIiD67L7eeSSBatfURnH9b5HZrRL9rfar5o+hWtjWpuxQ8basuRhijO1z/81ZsHkoMTfOtzV3LNlz7D5Y95Aq4lSLrjU2Uf15IcOlYl41h88Y61tvsOTGU4eyZLxhYcb1lLn4xDtq/E+Vqu+kgBP1wsMZd3ybsSz5KAbpBCrz9ZYbkScOF8jpmcwy1LVaY8GyEMKRfg7Oksj7l4H9VyqS0ff/y3/8alj3ligzQ8k7WpRxqNplSPWKkm5MTugSNNHVdrTbkeoXS648pGLUIIn4lst0LuasUnigzBP2wZ1zK2QAF+qMk6gopvHEMs2Yxy0jm2JtgzneH4Wq2vA381iMi29FFKGweIUi0k41pkbIlOXeNqyvWwjXCbcSQzhf7kYDDzqyBUFDwLxzKKvMWsjWub9iLifFT8iPVKgJTNuZ/Sph0l5RsqQ8RsKjx3tiJNPVAcXW13UEpsnOVPXtmfHNyKv3gj1Sc8keze3Y1nPPTsn+Xrt//XcPdrzYG7NLuOaibeeDmFiSnq7/so1dBiwrNZr4dMxsTB/D++q3FbxhEEoSFG+5Gpm0rXmco6DVXoyZzbppTaOpuxO0jprb2DZ0t2TWUQAuqBYrnst9k/lNZYotsOWa6HeLZF1Q+oRwo/JYqDY4me0R0ENJ6Tsc08olQL8RxBpAyROecaJx7bErEjU3pariXa8lwLVU+btMas7yczDvUwIvMzV+DEYhGjInP0UKNsBaZO+cqUhWvRNk9TWlGpbP8a9+/eZURmXvYbr+TQHbfxgf/8t77X5wtFPnP1TS02/sFzq0rQHAd35N0GORiI+xY9MOLHKKiMEFUu58geDnWmz7jm0EoXOdic676+X7eVsW0uWZjgplMbqTZ8IQSTnsVjzprk64fW2645MJ3l1qWmfTvnWDzmwDRSGNeCSjxvXSr7LMQOLSNFqhhjjDHGGGOMMcYY4x7HmCA8xhhjjHE3wIoJwjnX5pyZHLcvV7h0V4FvHy1RDRWL6/XBiQDfO7LOoeUKe6dzJmRbpBFCo7G4384iN57sDoNUCxU/fvY0n/zh8ukJO10ocOMfvo0LLu5PbA2Vjo2k3aGn8697Pbzu9ZTf9Cfw3vc0T0gL+fFPcxtxKKQeRpzW5OTb/g71G78yfP6zOTYuvx/026xdWmLt0ov44b9/ngnPGJ1PboMSZycKQ6qetaIaqJFIYa0IFRyczXFLn40iuHsVQ7cD1UDhWEZloh/xN+tI/EhtOzk4VJrlasipctDYNOpEEGm+dXidi3fk2VkYjXiyWR2/rdrrbl2ukXct5nLO0GS1NFLMfQm2FPcYORig4ocM1s1qopCxt0wQTjYOhlXr3k6k1aZW5bDOzaVef0N7qaVtsvd6XutzB12ThuG/1ujwR/ke9+2mecZiULHLFJWuaqDoId7VBkGTWHBvgCYmeGwzSXSMMx+uI05fRzgEZnIOy3er+n8aUUfgSHjqhbMs33Z4U6lOfvA9bQThNKxUQ4pPvoLoqU9Facgq1UYi7oREdBEzeqG1txEdf7emkdYrzeedBtG001nH3KNZrQcc67NGPp1VKAiM+l8asgPCrStNQyE9DcP00knx9VuinLqpikoh1vbMV6RZPb5KzrXYqIeoTTh/nj2dayf+0f87lOshJ9e7551Ri9qaI9NJzqHSZGwLPw5BfdmuPCcrIdUg4odLVTK25PCaTy1S1APFai3kwFSGjC0JYzVbpWHCs0BAxrba1mVpaxRbmvVxKyxh1P5GWS6KIYjbGUekkoMTnO45dqtW63aglfw3fB4MpJRMF1w26uGmI/sM8nkbdXoUaU0a5yd/2eWU/+pv4Ld/rX8ClsXUtdfTKmQ99KuJ/k6K6U6MmqPxmtSSRjG408bhSov5vMvOokfes0FrbjxZohYo/EixVPHZ1REaPc1OYkthlKmFYLXsN4h4OddiKmdzdLVuolxFw9Uxu0fdCSJFuR5RqoepZL4Eb3/Lm4d4ShP/7w2/yyM/fQ1TWYcg0tRCxYmSGWumszZHU9bKd67W2FlwOG+mQDVQ3LFS67oGDHn1plMlPFvyX987yWW7C8xkbWxL4lgSB0My3FlwUUrz5TvW+LGzJxECVKym/cDz9lDZWEtN/w9f/gIA/vXLP+DAzmnKfkQ1UExkbLKOZK3i91S5T0Ok+vdtodJGlVrDTL5J6FyvBmzUmpU740gi1XTUF4BjNQn2oQLbMn8LaGvnEtg9ncGJo1XkPRs/VD3tm6tln0hpakGEY0nWqkEzvUpA1pF4jqSYdbqURFdjG64UMFdwyWd62+GU1pRrIWU/bPTVRi2/2yFGac1aJWhTjxWYfr4WaLKuZGHKKKcGkYojc3R3Wn4YsVr2KbeMDVI0HToAeM1v98xz6ns87SeoX3194zs/8/LXDSYIa81DrlY8+msatw5OaHJrra+Se/KjyQPiy9ewfyKHZwuimARdDUyEGKVN20+cC6SAIFQcjZ1gLWHKoZix8RxjA0/qVhBFDUcAMOOywChRB5FmMmc3iNWeY7Gj6HHXctMeFypzjyXa61nFV1R8c51rd5f9INtW1pUQ25cDZcjv1UBTCwzh24WGqEYQR/wxaulp5MwUpfiWLP3U4x7CXbffirRtnv4zP8cfv/ntWEIy8djLe8RVGQ6ln30+UgoyjiRUikofu55rCy6+5FK+/qUvbOJJvfHIRz6y0bbf8Fd/yyMf+3je8NrfZnVlue06KS1+8pnP5o1v/XusDmeuplNJOlr3L3YUvK7x/3RHEOyHnVMZen29WhD13D9IU3K3paCuFJmO8lG6WUYXzBYREo6sVVmudq99bSl41P5JvnOsxGrsYHTuTJYdeQcwjudXH9lgvR5yyc4clVilG+D4Rp2LF4zDodJdwtRjjDHGGGOMMcYYY5zBGBOExxhjjDHuBsgWI/++KUMQBrhsd4GNesS/fuH2vve7UvAHT7+I+YKHpt2AY8lmqLGDM3me/0CXz9y6xImST86xODCVoexHPOngDN88nITK2+b3SzFWKK3jsIYm9N9NixsoDTsLHk6Ha7EG7rcwgXzz/4E3/5+WM8YgUTu2xvGNek/jdSu3V513QSNNk8IAKNWfHNyCx//Cj3Pdh77Kk86b4z3fOdam1LwdOLpeJ1AKJ0Xdox8iZdQKtDbGyFEIrxnLZipjN4xBnTg4m7vHQpVvBUFk6l/GFtRSNpR6KTZtFdVQcf3xcrcaVw/ccLLMfGGS7oCx/XFP8Wq+d7zMUy+YGXrT+l5YdUaCxiiWrWxB8WqzOGs6y/12TTJabRDsnHA5kULWGBWJWrfAbHgrZVRiaqHqMsK7cYjUzSAZOyOlKdcCQqUpZpzGJmKr8kzrv2l/d5J6t1I/k/S2Q2V4O7Bc8jcRLHSMuxNK9yd7gdn8SdukG2ocFmPlljHOfNgS6mFXUPKeuHRXkUhpbjhZ2rb56HIlYC7vslje+lg4DNKIiBKjYgwwr0td54eBCIabexhCcHNeWvSsniRhpUdbR6RBk56GFHAoJofM5RzuWK1y9lQuVdVQpDiUjgLXkly6a3LT9ztOL0VcOLJeY6HQjN7gpqjQ9nOQk8KEh9doglBTDRXHNup88Y5lMpZkMuvwg0VjK3jRg3aTdy1mck0SUy2IQAgif7TvpBVEgWajFm5qvnDeXB5Hprxrn3tKfdRMEyREjt/+lV/ki5++Cq01lz7kobzzvR9lvYWhaVuS3QWXHyxVWauGfOH2VR537hTfOVLiWClgLnK46WSlkZ+H759gNuuwHtf1dSLm8g6LPWwhydhrSwFCE0YJMUtQj/SIk71B5OD+zr3DEIzTMKxCbUK02k5s3T9JMF/0KNfDNuLhsJADyqxXb+JI2DOTQwg4ulqjHteBsE/55H/88XDtjZR/4Vlw4/e7n/RP72LmIQ9pcxIYRGgCozrpWcLYdXq8Q681jNZG9bFp49Cp9ezc2TxzRQ8QaK34sWKG9arPD06Vmcl093ud5TZbcClmmgQ9Q+aMcG0LS4pG35fYYhLyYGd5JqTHsEVdvBMr5QA/7E8yvuuO26hVR1O5XDxxjIofUY+ac4Csbcp8pRoym3O6bEgX78gxX3AJlOasKY/dEy7fO1ai1GFPun3ZEInDSHPBXI5rj5Z41IFJipamHhqb3ePOmeJLd6ySdy12FV3+/St3cc58Hi/v8Vc/eylhfbCN8YWPPp/3fedo43fBsVkOzVrwEzedJGNLMrbEsy08WzKVdViYyCBot932G+8tKdgznW2s4VuvbFWqdixBECpcu6l6XszaFDwbrTUnNwyhN4zMtQLaVKn3x0riCWYLHqCp1EPWqyF+pIgayvOGlClqYWyL0HiWpNJiz60GimqgTPvT4NiSgmcTRk3F9PmiS87rQw5WipMbdWod33epFJBxLKQQVOohWc8iCDWRUm3k4KS8LCk4ey7b5sGQqA43rzLtt1oPOZFCTk/utC1BeX0T88Uo6po/T2R2sl47kXq5UJpn/7finDs0bp+tA/3oywm+ei1CGKcCX6f3OVIYEmLrNxfC9LGLGwF7ZixarTTljv7fku3r4pVygGtZDVuQZQlyjmyQXcGQhLOOpNpSL7KOUX6W0vRHQrSPW/VYxTc57lqCSiw8YUuj+Ks0RqEaQ37POJIgVESxHaw1n4mqdBrSxqv1jRIPOtghuuL7vO/d/8L73v0vvHFyhidm85uyAzeeVChgi3b1YoEha3eiGmj+7X0f4/yFwiaemI5fePGvmrJqUXh+6jOexVOf8SxOnTzO56+6klJpnUsvfygPesgjGvdJQVueO51Kso4hpSevsXciy+5iFoEg4eInes5SNBVwt4InP6UZjSWt/EZBEEVEkWat2ntdmvTVni3ZPeEhEWTs3rSOpIw0Zv6/eyLLfN6jEkQcWmsXuBACHrirwPeOl3jovgnqoSJjJ2szwcHZLDefqrB/ysORgqJns1QJqAYR5XpIIePcK/eMxhhjjDHGGGOMMX6UMSYIjzHGGGPcDRDCEHlDZYzoreSPomfxjAft4r3fOtLzfscW7JnKkhjOWg1PkaItPNJc3oTdPDibwxK6YWytBBGX7S5w9NobuL64a1vfT2sTggqMEcxXihMbdQKl2TeZZaUaNAwGiTpHJy7bO0WvrZsH7ZtBa833H3ApenW1+Vwh4N//G+vgeWQdyeJjH4FeNp7n7SpU6cSwAzffwqELDg79nhJ46ImbKO17BM+4cAcIOLRW44M3nBw6jV6Yyzk8cHdxZKIoNBUKLGEMx6OI8Wlg/1SO1ePrIz/3TIcGaqFOJVtFkUaKIUlXQyCINF8/tL4pUsU37trgofsmBhK7vK9/mZm/f8smc7g9MGbC4evofZ2rFkaaouc0NgUsKRpKPqcbZkwYHTnPxrXCnqE9Z/MOdlwZBxGJu94z0jgSbFvESkGCMGwdrzT9NHS11oSRwolVck6t18nHIVfXqyGh0thSMJXvTdzph600984cJ2+SnLunbeJnalu7p8vlTMIw3yhRYGlFxpGIRHA15iiFkYrbaesmv6I2gprkGGPc3TBDixgpusBZ0xnOnspy12q1QfS7L+DW5SqzeYfJjE1l33lMbyKN8uUP39SzN+oRRc+QhiqBIggVOdfCsQSWEMzlHdZq4WmJPLOz4DGfszkwneNiz+b4Wm8iVHsP13FC9yckJiGEN4vXveM/e57bqIdt4X/PmcmRs21saSL3JMqcveBHusGMOFaq8d/XN9eRa0ScaCGwLlcD8q7Vpnj9rcPrlHyFNzGaVpflCNycJAnQbIpx+DI6Uaqzu5jBErLhnAymXZ9crzKT97CtJtnbD6MuclUa7n9gnmoHwe/rX/w8FywUsByH//zWnc0TAs6bzXBoXXDrUo2vX3ccdyLHQsFhJuc2yL+TnnGArQQRUsBExm4ohZo8i1TF2YTQo5RZ82TiNuJYAtsWjfP+FtvGoPmAZws8225TURwGUjb9njvXuZY0xHmldYPoNHLG+j17M/d23JN1bbKuxUZtE2HNBzw/cWzsXLtM5pyGvSznWoSRQojB39e1BHMf+hCFjLk/UorVsk/Vj1j/5Rey/NJvmn7AsuDt/8DsYx49sE91LEHZV9SXqyxMZhBCUK6HOJYg5zk9lIObr59x2h2ga4FqqF42n9FULl2vhiyXAwquZKGQwW2xI0mhWauFHF6vMpFxmMrYFF3HKJyuVTly+YPA71gnWhYHvvZVsCcgzmfST3Q6ZwsGq2TXe9hxIF5jRppvfHlz6pbLJ48xv2tv43e1Zb1a8SMef+40n7plhZxt8ZizJ41ibXxNxpHctVgliDQHZ7McXa83yInfP1lmNjeFJTW7JlwOzmXj/lvg2oaYlnMtZrIOty5VmfMsTm7UWav6ZO74/FDk4ATPvmwP7/v2kUZ5XDBfBDTfPbZO2Y8o+xEQxJG1NH7KGiHndjvo2NLUk2qg0Ep3NW6tdVtdDiON26Kab0vBZNbBtiTlWtBmqwbd1S8lfbHWGj8mWy6X6rR+dlM3dUORuBooPLupVpyQP/1YtbUeKsLI2A2qfkSpFsbq/qYf36iGhujb5aCkCULFibVag4DqJQ7RWhFp45TbqJPxmJN1RKoTQLmu8HOqgxTcfNZqJWCtHCCleT/XMmOTKVOBRlAPVeN50SDl8h4o33IL+YMHcS3zOf/g6Z/mVe97IJruefVPfGYwOThB8MgHMXndTQhhFPE7ycECUzf9UDecAoI4gluozLFW01AYKZbLfqNPVloTKEWoIm5fqTDh2ewsZDm5UWPPdC4pxjZycAKlmyTgtn4kfmVjs2oezziyjTgaxkTW5Jsm9bYWqkY0x1CZOhFFmlbrlG3BnSsVzprJN45l4nok6M7vodtv5cmPurRvWV/Qx3FtGPg7FpjK2nE9NcdcW8Ttuft6rTWVMKKLSb1JXP6wR/H7b/jzFiEPiUZT8kMsBPM7Fnj281+E1mYPy6gv0yAUV1scNqQw47UU4Eeq4USQwJLNdUCzazf3p00VnvYzz+WjH+g970/DBz/80bb8JGm7tujp2DITq/J2QgDH1upIAWfP5LhzpZI6Ryt6FnsnssghFOKTCFRJOlqDLSXzeVNud652k4QvWSikRj/ZXXTZVXQoejalekTQkrnFsk8hY+YnWg+O5jDGGGOMMcYYY4wxxpmBMUF4jDHGGONuQmI0sKRgLu9yqEV9dv9cnuc8ZA+fu+lUavh3u8WQPwgqJo8Ye6a5Z88VD8OOf+0BHpxcC3zgV/43pQc8elPvlCBQihtPpasZ3La8iQ2eDnz/kge0EYOTkhBaw/N+Bg0szs5DCjm49Xdixrhm7/359Ev/iNc+4qEj56X+yy/G+86N+MoYL9dq26M+dtnuIhfMbZ93/kjQtG30tmKx7LNn4t49XUg2EMJINZQK/Jgg3DQebh5+pLn26MamFddqoeJLt6/ysH0TZOJwd60qKjN/9ocUP/eJrWWSdkLjZvGUC2epDKmODEap4b6MShhyV4dxFWDCs7Ekp01Z2LUkmdSNpmEg2D2d4Y7F7r5573QGJ05XDams3olA0TAaa01TJShufOV6xGzRbakZ5q9IaY6mqLL7LaQYKWA672xJVXCz6Nd2zgRKZiFjs17dnCrgGGcODPFINTZRq4HZbM06iVpR8wsHqrtXdyTcDf4JY4yxKbgtG/HD9JtFz2KpHDCTcdrmRfc2pOX8xlMVOGVUCffHYad7u8+0Iym71Ve/ftN52qhHbSrCax1Kr64lmM05LFVGjzwjY5JxT2i4bbmMHypyrs1s1ut36ZAHe2P37n0cPXpopHsuumz4NeLR9Rr7pjLcvlqnGkRcMFccep7Sby5XcC32TmSIOogZyc+9lxdZuqVGVB+uQLTSzJ/1OD5322rj2BUXzDb+9j72P+x8+5u66qCSFof++QOsLyxQDyvcb0eReqhjYpchmhgCU5XdUxmcWFF5Y4g5ycW7+699oyDg2Q/czb9+5Yfk84ZoI4TAsy3Onsnwne8s8sjdk9yxHjCTg4OzWebzLgsFh9Va2FCrXO2Yj09lbewOgkU1DpusNAg0QoJCtyjVNcvZayHDbQaDloy2JZnIuuQ9m6WSP9SzDNHHEJMsYSJ7eHbzHUWsmpexBV6sgGicNWJ10C0SgDYbKaQbgrPmchxbrY1WxpvMfsWPyHsKIQTr1cCMU0OqCy6WDPlxKu9hScGxh14OpY32i6IIXv4SlgDx0l+l+Gu/0UWgMeRDGoT6UMHhlfY10d5piWNLUz9FclcCzeJGPVWV2g8VrtUce/1QEUQK25JopbEtGiq4thRtZZ73rFiNtU6pHnJgUlJ5/rNTVJOb73rnQx8G8wvkP/m5jlMazzbK8KHSjfo56Bv3InaruBF1EzyHg0xRQ+987lPOnzUKiX5ExpbM5V0qfkQliLhwPsdExubOlRqXLBQ4Uaozn/fIOYK8I8h7NpHSrFRDPFty61KVjc9+lif9/R8j0DwGeJS0+Oyb/51zZrOsL5f52N/84Wgv0dJmi56NUppa2BzXZ3MOczkXS8iec6i0ZiOF6fMM0TbCttvLOErpwARQzFh4tkXOM7bDUi1guSNSQycR0RKC5ZKPLQVLfSLdJU4ZVmy/05pG3UnWR64l8GyjjmrJpohC57vVAoVGc3SlGquHt5dNLVAsTGURwIn1ZrtyY1J62ENt1ZbpBP4jKzXOmsu1tFtDhLaEYCV+ZxU7QVuxc7VliZgM3ZHa7XeyGbif+DDeK16JFM215Jue9R3+5COPo1RfbFznVRUP/rbGGcGEtfS965m8//2RLaqwYOw2jtW0MUshjJJ0a/Q/DaV6SDFjoxFYUnJ4o8qOvIcrJZUg5M5TTVubJaVRIw41G9WAfMaoOSc23YQMHyoait1KpTsj2JYhKyeOuBXf9DWmfhgk7+PI9rrrh2atLuP3dC0JQuMB3z2+3rhPx3mCpgJuQnxNykhKMZAcfLHtMjegz+qFpBZNXfkZZoTEkrKheGsB1cjsHXV2xQrNLUsV3n7lNfz6FQ/a1LMTvO3v38kTn/6zbXmqhQqlNT9YLJNzLfKuBRrWagEX75ho+2aeLZHoxpzSkpLZokcYKY6t1rrs+VIIoh6TAlsKpgsuVlz2yyWft//9P49EEN63/0Db78mcQ9axOLFRpx5qHMuQccHYduqhUZu2pZlnOJbAtQ1RNwgj1uM1mNKQs20ump/AtkwZHduosV4z44gtxVD2dZGUmegmo9dDzXTWYdJzOFmus1EPKceVWwp6RtgRCDxLUsLkN2NLaqFiqVLnrFkzP4802Pfe5foYY4wxxhhjjDHGjxTu3YyfMcYYY4x7KbyUzcD9c3le9Jg8jhT87eduaxgLAdaqIYsbNeaKmYFpt63Hb7qeA694SU/CrASe9Y4/Yb0wxQfe/F+jvkYDaUbiUXDWTG8lzOvPvwCqTaNgT3vD0qn+52kabC8/fD2fFaBiQvEo0MD3WtR2rz9RHjmNNOwq9t4cHxaRhqiP0kq/+y6YK3JkrcpStd0wv2dicyqlZxrqocIS7URopSFjSaJNEiHBbKZee3Rjy4qxGvj6IVOvLt6ZZ2dMrNj10ufgHjYbAdtha/vyk39h0/deOJczYY1HwL2Yz9MTkVKUw5C8Y3NsI10RPQmJ3C+M91bgR4paGJF1NzeVF6I9FGPes9hR9No+mJSC2YLDSinYNOk0TXCkGigOLw+vjpTAsQQLk5k2dbqBz+fMIO/eHXBsC8eR1M8wduh9sAvYFLTu3nhLg1KajG2+Y+LcIsRglbXGc7aYzzFGxbiGD4uM0x56d5i1w0Y94st3rnL1kfUtkfHuafR70xtOVrjhZIUnnX0xu2+/Yeg0lXV6TXl7JrNMeDYb9XBktVSldUPJtR/2TmaYcPsQibcJn776xoFE1FY89unPafs9n3eZyTqs1UOOp8z7aqHih4sV5vIueyayIzkxZe3ecxoVq6h1TqQSJ6yXveC9/K//fvxwBGEB8xdl+c1f+huuO16iGipmc06D6LTvqY9EqgglQLYkpwGpIg688BnU7vdAiv/6rsY6KlFns2I2gFJweLlGxjHh7KUUuLYJzQ3gh7rNmXKUb/LCR53H+75zlNn3/Sv5f/o79sfHL5vfjXzqR3nAHoEjJPumsyyXfMphxOH1OpMZm5IfGVVGBIfW6hyYcjlVDggU7OtY5ypt5pvVQCMi08OHyhAb/Ug3PoWOQ6kbJzg1srOpHyoyjuip+p9UIc+x2D2dAQ1LJb9BIulE1pFxZAETgSOpEhKFjFWDTThqk3D7nGJ7Zg6uLWHkNY9uhP1uhRCCnDsaCbsaGPJzLcXhufm0blR8xZ1LVRwrrtMjEqVXKiGWJbjzvMFRqfT/+zvWjx4i/4Y/H+kZUhjC8MKEhxCQcdttiZV62HO92Rn23rEklXpEpPt/q/mCC2gu3FHgppMl6qGi8pJf6E0ObsWp45Sf/kTyH/kUYMjrYZQoxzbLN+rRDhzLELySyyOlyLuGHJ2oxCptFDkf9ujHDs5PCmZ39o+oNptzqPhRo8/KuVYbaaoaKKYzNueeO82OvIctJDecWo8J3KIxBs5kbU5+6tM86g2/1/UMS0U88ZXP5SeAP/+df9nUe/zGMx7D337ky3z/xAaTGbvh7HPubA5PWoOdq+Kit4SpG0ZxUjfesRr4ZGshtiXJuRauLfHDiJxjvoeK1YRdWzAb26r9MGKjFlKuh119Y+faXAgxklJ64miWdSRBhw2vda7SrxknpwIFG7WAiaxDzY/wI8VaLWC+YAj/Qgim8w7H18y4b3UyYDsQKsg5Eh07aISRJtKmf75zsYIAJrI2pXrYtib0bDOW1EJF6BsVYa1pEPASzBUcgn278U8dH7a4mmXzE1cQKY1oceSQAv7kmZ/j20fX+fKN/4fbTn2CKz4ZYo3YjesX/Bzud2+gpjUZy+TZloKdk6a/OrxcQwpDzKx19OmOJSjXQqMIG0eNOnc2z7ePrJF1JEWvfa6bRCM0wg+KXN1iruARxWWf2LZsKXAtQRCpVHXcBKEyEXgSVFvI4El9MnVWYEtDTjck63i9HqoG2dU42Whmci6nkr5CdKvzRkoToSjVI45v1Hjjb71kYBk/1PNwN2lYFUDh2hubB7RxDHGkUUFOlK9dyziIKK3RmPnnhGejFxZ4/b98kD940U8PfNZHrr2d9WN3cuUH/ouLLnkgz3yOsT0rFEqpLocOKYSJ1OBHDREKAV3E/pwrmZj0OLleB0E8d9XYlmTXdIaNahCr48Piht/i2NWNYtY2kT5iLExluGuxwjd/cJyHnr8w8B1zuRw/uPWOtmNCSFxHNPq7IKJBwk7gB4qTgd9yTzzOaeNw14kwAltI9k3ksKcECM1dqxXW6gFTmXQ16ZwjCZRuRMywRHc0CYDvHlvnrJkcOwoec3mP60+YfYiprI0fRszlncY9SuuGk11rv1rwbGqhz2LZN3PMlChYY4wxxhhjjDHGGGOcuRgThMcYY4wx7ia0mnPmCx63LHYTS5WGeqTxUiwEPzxVGoogHCmjOFTyIw68or+xKTHQTpRWeexfvpIv/M5fDEy/FRlbMJNzOG8u1/Oa3T/5KJyo3eirgbv+z1/D5Q8D4Pz5Imkki+N/93dt5OB+GFZ1K3nnX/6vPx4q3Z7P05ov37m+adXYTnzh9hWuOG+uYdjaCtQmFIAiBQvFLHunsmgNxzdqTGQS3en7BtII1EmIuM0SfIUQzGQdjgTpRNFRIFVENoyo+hk+ffsyj3j3X+EevnNbv8CjPvnv3PqMF2zq3nNms1RHJQhv6klnLgIVUQ0iDvUJiZ2g4Fojl9co+Orty/zk/RbYbCnvnMpwZLmGLWHHhJeSjmAi61Dw7DhMpzIhGj2Loyu1oQzAUmyCK9ADOdcaiRwMP3pkyZ0THnctDTdmjnH3IFJmbjcMv05rxeJGDT/SeK7ED9TIpEhDBLhv1fwz2tHkTM7bGYREkasVo6hVdhIK7m0YRv34qle9hV96+ZPN9X2uS0rt0Me+svWMpSDvWDiWoODahBFctGOC7x5bGykNQTM0cL8FmiGANUmX2xEdQGuNQjedYWOV2A9/8Tv81I89sHHdhbbDZa6HJwQrSvH5WpU1rTj3ovvzv/7krY3rWknMp0rpUWPyrkXGluzIeY1vnbz/oPVFwbWwenCOJjPGXCvQFFyLSBvlwtsOrwKwO7+bBzxnB99+9wlUD6JpnABOVvLQn3ykIbdgFHVXqyFnT3ns+8lHInSEACzddStgPmP2+98h/N3fxvvLv+77TrVAcbxlXeRjCLah0mQcQ9Q9cfJk3zQ6MS0le578UOyOOjJx6ij82IOIHJeZb32X5YpPTUUsVwN2Flw+fcsyuyYy3L5cZVfR42TZZ70eknUsNo6VeNw5gj0TTftKEvYcDPkw6be0NgQ62zb590PVRkZrJRMl5dUPGpB93Nja24IAAZbV/u5JZAGtNYHSOLZEq/a6FAJRoMg6hnAWaRPuPe25siX61GYwyEFttuAwkW1xCBhQSBNZh5XKaJFY9BZcA0ddsoWqaVO48yEPHnxDgo9/lPKr/5B8YTiCfKvK7qmSz0TWRgqBbQlOrddxHUnUJ+9G2blZJrVQkXMllRSV5NaSqwYhri1xhGQ+H5ORvvPtofIMwJHDjT8FhrDnR5pixqJUa2o7Kt3efjxbYkm68hdpsw5V2qRlWwIJnHfuOeTyeSrl4Z32d+zey0zOMRHetEChY+Kxisn0hogqhGAiAydKPiuVoEHYnM461ENF1pUsFDzQkkoYojRMZGxDdnQsfKVY//CHOPcvX98oh1743b98Ee8f+g2aOHH4DnKuxBKSkm/ay9nTOXK2PdRaPYyVa41DSlNtMuMIiOtV1YQHYqOHg4KM1VfVeg0pjVPIbMFjKutQCyOjJh+raCLAs0ydlqIZZW8QMvGYmvTJ1aC/k0VrxIp+qNRDqvWQkq+4baXctu568oU78WwL1zaKtf3WZBnbEIrrscNIohoraM4DNE01+4wjsYQp/3poFI+z8dovaQvSbk1fslGL2PXud3Hnxfcb+F6dmLn//dqcdASmz084jI++6Pd56Pmv5bw3Pnz0USAyRPpIgRSaXRMujmM3+p4Ds1lObdS72nTWNWrtQaSpBD7gY0m4fcVEuUoI6nN5p83pLCEJJ8IWF+4oILWZTyYIVUJ87Z1tP8WzR2C+TRAZG3EpCOOOUcbzg+Qa0bWuEUJQDSNOlX0TpUBKwshMgo1ScPJcjSUEh9eMzeZbn/n4oBImL2TX/GcYTL/pz/Gf9LS2Y1IKIr9dCVtKuOGkcXAIUjqOiy57KO/7zlFe9bM/xh233tJ1/olP/Sle/3//lcPrNdw95/OMX//fCEyani0peBYCwVzO65rrz+Zcyn7Iej1sRMNMUAkDDszkKXo2p9br6UrQUjKdb4qtuLbFWqV3lMe8102FiDQUCgVuOFriQQd3UKukR8F86k89g//+7w82freOrtUBUfa8jj0HMyeLxz0psWXT4awzymHSbvdN5ji8XqWgFbYwisJJXxNEKlZlbn+vtEiRkxmb25crWFJw4XyBi3YUWK0FHF+vm/dpMeA60lxf9iMUTQGI9VoQP1ezUvGZzXvm++kz3HYzxhhjjDHGGGOMMQYwJgiPMcYYY9xtaF0kSyHIOr3JY3NFj+Pr7YTDT994kkecMzfUszxbMvkEExp10No8MWqcfet1fAF4+oXzTOdsvnj7CofXam3qBruKLmdPZ/naXWtctCPHrqLb0/C874qH0Url6szHgd//DZRlcehjX+25jbP4xj8dkPve6Q/C5A3XjXhH8znTGZuVWshszuFEj83ifsg6kqdfOI8lBIHSSAF3rFSphdG2EIS3EiE0iUo4nx9MRr+3wigMyXgTyPzutVHWC61FnGZEHQVWtc63v3+U6+9cYfdMjuc/7f486rxZLvzO57eUbicEhhQwc8M1LF98+ej3b8bQdx8xDmqtWfcDDg9BDAZjRF2vhaedpqf08Btr3RDsns6khKltv0ZKQdZt75f2z+Y4vlbr2hixRLuyz1aVtRN4tmyEKx2E7aJHtpJiRMe/W8XpqheWFEhpVPwG4m5qm/ctqupo0NqoUw15NcvlgEiZDaFhw1t3whKC4Ee61O9e3EeGuNMKW6aTJH+0aulwb/vOv/0kL3j5kxvrp9b6pVv+PfnBz21j3tpxcDZPqFrGEa3JOSYkcak+3LxGo4ca/+9abTq0nDOTI2tv3TzpK8UtS2U8W3L2dNOB9eDBg3zzB8f52IMv4sFehklhyDkSQaA1r5mYRgHhWedzIr5HABOuTSkIKfthYyO/FefP5bGERMaRGSKtsaRorClayX2dsATceGqDJxyc4aofdke1edrVH6H6mvehgoDMOeez+Id/ThhFnIhtBIEWPOnZX0Trx/Dd9xjCbeS359HyBE5W8ugXXs6Fj/obrry54zmHbiMSEe6AD9uYB33uU/0v7IEwJjzV4pDpj3ngeUPfuyAt/nV2Jxa9+1wr8Fl+4EWsfupb2K7F/oksH775FH6kCeLyT6J+GKJRwOV7iyxXfTzLEEYsKZq2CyGoR4bk5Ue6QdgyJI3uwvJj9T0pRUNF0JLta/LO5aLq05rSQkhP5RwmMjbVICLn2gjg9sUmiUXGOWslnLtSoGISWqQ0ni0b8wspYsJK/Nva4oA2kXUo9yHIGFJQy0PiP0OlYuXmDmXBIRY4tjSkLEsKLCFS22gbhjCSDKsGrXSTtMPq6nA3JXj8I+Gb3xvq0nqLM3OkNCvlgBWaZLlqqFLbhWcLpBBdKobQe53Q6rhTqivsQHNdrCy497deOlR+W1H+iUcx9dmvsHs6CwjCSCEElGrVBtnWj4lLWcc0mGpo7DSdiBSNcmgl8gP8r1e+jjf/8WuGztfL/uivWK6kq9y7luDsmUKbY89s1kNrRSWM2KgbB4TZnEPSUjVQcGwunC9wZL3Kai1i+vW/x9RXP890nEa/2pyk8Qu5Av9eKQ39HgnWaxEQkY3V23O2hSUFniWoBwrXbkaY8WLHh6wjiSJDRs3Ykki3N49aYBw7IkWqIELWEYTKkMMSJeFSTCrLOpLJnCGQrcYkf8cyCqyRMnVaQCNCStYxqu3QrLcaiCLTS1pSEISqy5EmyWMn+Q1Muo41mPhfD82YHWnVRpgEo1JqOZKMYxGpbjXk5L1cS1D2jaJpAlsKqh0ZTlRta6GiFkeJsaUgkoZ4WvX/f/beO86yozzz/1addHPnnp48I41yJAgBAmEMBoHJYGPA2BivjcELTuzPXnud19i7tvGCvQQbbDAmeEkOBIGJIgmEhBKKozB5pnP3zSdU/f6oc26+3bd7eqQB3+fzkabvvSfUqVP1VtVbz/u8Cq0VYMjGhmytcWJCtdKQdnsrh64JIVAd79CLydVCaLKuRdqxeGChNylyEGQ9Gyki/FDhxO0vvjlSCqbyHofiIGY3Hmx6rXUrQUix3k5Eny8HTOdcZvv43R9aKOPakp0jaayWHYi1MpVkPUmtk7Acz+GS+atjae6dNf3x8plC4zgNoHt7hTzLqLsnRPDJtEvOM3brjhNFLAGXbCugtMAWsIbgfRtWlMLXesMqwoWXvIT5jnoLIt1VcikEUkjqa0WbAJ//xq0EkaYUBMyXfVxLNt51vaODJPcwQSkWixUfDUxmXCQCzzYq5KMpl205Nx6vmvZGaxNAuFr1ybl2m0q+TG7QozpcWzKRc8mnNLUgYqnF1qcc2SU40BncdMtBM5++/l8+wkfe9x5mdu7kT97yZxw4cKBrXdbqH6z4awc09VM0Tsa1vZMZ0FCqh6QcycmVWpfNiRTszKfRKDwLai2kf1t2zzPB2Li0Y2yIEKZfpF3LvIusS84WLPmKlWpvD1KgoBpEjKRsFipBg7DvR5qxtM1SNeT4SpWJmKQdabCHDpIhhhhiiCGGGGKIsx5DgvAQQwwxxCMIW5o0VmMZl6eeM8mdJ1Y4vtpNOLvu8hle9NgdFKsB5XrIB755hAfnK8wVa0z1UBG2WzZQkhRZth6cXJKc/ZrZ75F/0gvRGp53wTRSwEduP8FsHLF/ouhz6bYsz7lgnCDSvdVzSyX2vuwZbdftdz8ZRez+8Sej779/4LJuBU6X5OVHmu15l12FFF87tMxKLWQy67JnJMXxYp2DC5WeDqDprMtjd+Y5ZyzTFTk/3RL1froYpnZaHyb1XVPNRukmuTFJXbketNbUIt2WbnIjsMOQ4kKJr91+nPnYDiitObpQJnPj14AzQz56/t/8Nu9/x+c2fN7m+ME/uN7BUhCgtGau5GNJseamdytGUjZBtNa2/9ZAA7ceXeKxu8fYbEsZRNWw33nbR1L4kaIeRBRrEUIY5ZhaYBSVNjAErQlbCmZGUwMpC27Wtve6cq/r9CIJtxKJN3PfrWwnxVowGDl4iEcEQoBnNRWE1xqb64FidQMpdvsh3KqON8QQWwRLii3LtvGDAs+W5L1mCvjZUm8iUi/84zs+R+7gnbzkrb/RFmipga+/7PU88KMv4qLAZm+uP/F0K6FJFAUVjjQpZS0pWaoGa5AvNj63eGixYlSpWq6wbrPpcZsRz+biqTxg5g+t03lx7VU8L9Ot2pmosknA/t5NbPvFn+LU334EDdw1tz5ZK5mfVGLSVS1oEva01oRaIWmqGSfQIkmJrrnu/HGuv8+Qd1/4v36ZsUMHaR0RcqdOkrvuahTAL70HPI9zxlO4tiT7U19j996/4f7bPsDDXy9SX40QEnLbHPZfO8rjnv53XHTu5TzQI8OA81uvMDyXAZDMWer/648Z/R+/b54B3UU86oVI01BhBAiCwfqEBbxzfIoRKdecByZBkPkX/yh8/ga+e8Jk+dk/nu6bvj7rWEgBp8o+9FjLTWddtg2QvSmBH+kGM3e2VGWug4C4dzTdSAvt2kYtrrYh2VpDtMp6iTp3e737kSHLtVqFaqjJuJJ6TByvBqpBqEu4zq5lCLano/imtV6XHJNQkiKlWYwVIOuhIXtaQjCedRpEtoxn90y53QkhTGBULVBM5V0yrtUgobXCsYyCY6RpI25r3T2nX88HsGM0hedItIaH5yuU/8d/W7+gnQgHHxMgJjtKQ6KudJCZUn2UUpWm5xghMOne006TsJ2cb0uBsI2/MtKGVJ6yJRNZF3n3JoLrFxfJeDb1ICKKNIuVAM+RuLboEE8wpLDEf9ZvbOtnal7zujfyuU99gttuvmndIj3/JT/J5U94St/fp7Je1/rYfJas1n2WYtVSIWC+7LMrnyKMu74QIMpl9jzvaY0xYNBuJYCfz43w4UqJjYzsO/c3gy2qgWIsLZttOibYSTRuTLwVoqnG6ytDyBUCglB3BRjWQx2T8NvNTSomtGUc2dPnqbSmWA0ottjeINJYwvRFgaYeNcn4QWRUKm0racsm4CKI1VrXmkMGkSG/BUo1hA4SmDG3WZueLbpiBJQGFWkcaXHpTIHbT6w2amG2VCPn2tQDhRSCCE3aNcTSlCuRcZ2X4wCRhvKvaCenurHyfGLvmvWrCOK61VpTV4rFis9IyiZrWyiVENB1o+0vV0JSv/eH1P7o9/vWSRf++d8IlLEVKg5iSvp8qDRlP6LsR42sBX14l2uiHkbUA8V4zsGPFOkeAR/bRz1OLtfblItb4UjYOZbDcyy+f7LY+D7nWZT9iMmsQy1QlFp8cgK4cCrfsOWtTaXfmJZxJFP5FKdWaoRKYcveGR80cPG2PN8/VeS2k6s8ZscIAkGkdOPaZvxsqtevdqTOsqyE/C64YmaEuoqoRwpHSHKezXIfVe5OfLVe5XX5AoO+GQ0oKamH3dfvlW0wjDQHJrPccXJ1zev6keLoarVB1m0dj4SA0bTdIEe3lSe+5XzZZ77ssy3nsj2fbvQHKbrHsYxrGVXuwPi4WoMBZka9NdUrpJSkXEi5FqHSDfXz8Ww3wd5zLHaNpUyGNIx9m8y5vP4Xfp7X/0J7Rs5+/kEwIj+OFbBY7h7f+wULJuRgKYwCcdazKaQdE6zTx+wpDbZlUetgl6+VRaoaKOpRxMGFdqX9ehAxsX2Egic5b8KmFkUcW6m29TEw86KEHLzYoqaf3O34ao2LZ+JgC2X2PYcYYoghhhhiiCGGOLsxJAgPMcQQQzyCsGXi5DQbQ5ftGGG5GlDpsTlUCxWOYzHqWPy3557PrYeWuX+21EUQFkJzW4cjRwrIsXHHnviD30K/4IWNz0rDyy/fzufvX+DeeeNM+OLBJZ51/jh5z2Kph/Nnzzrk4Lb7YUjCpS98gdRzrttgaTePzTg9k/PKb30H6dhZVfAcnnfBdNsxF03lOH8iw7/ePdf2/Y6CxwsumOqKWD8TsK3/fGSMzcD46HScolUT6aZjONng3zORRiM43KGosVoLue1kuWcf6AetNXbNZ3GhxIn5Erc8sNB1jEQwkna48P/97ek8Wl880nTdXg7osxlKG0UMP9SN9IUbhWOJLodt+6bX1uH4ap39FZ+xzNYFGAwMIXBtC1sKVqthm3rPZtVPeyGXss4oOTjBoOduFTn4TMCzLWBA0sHZUugfchjyiiE5JamR28nCmko95NTq5gJNEkzkHHKe3dgcbVO9HuBdN4TEE9IMZjOuH7FqiCHWgxSGbNRL2e2RwnjGkAmkoGuzc6uRsiVevCNqW6ItHbK3wZ3S0oFL+cc1ArnunquwXAu5dFu2bb6/2aCfBNPZ/plhwKhIJfPeiYzDQh8Fxs1A026rBmo1fQ7qVQ/lJ16x7uUSE5g6/BAjRw7CeRcCsLIGgaMzEM6kCo8JJMCJYo2TpTqeLdk3msaWhjhuS8FtJ1faznvehRNMPPvJyKD/eCCAv37Xf2HJy6Ge/2Ucx+LGlQVOpl7Cj7zkZ3jimyfwsh5+pHAswU1Hi1QDxQMLVc6bSHN/TJ687rxxQq0JXfA28BqVhPCfP0T1N3+38V3akXRJO/Yp+0ZxjZdiTFoDp9Z2SkWOlQIsAeeOpbAs0XccE+t4BGbLPgsVn0tnRhoKyIOiVz86tFwlO2UzmXPJpx38IDKEMm0CUy0psKUhu4ZRRNXHqPNZiTZwe+kRsYqeMDYnigmWShuCi8D4kyq+ilOtmzWvQZMwDEBkMhodW6ogMIRBKRJioPncIDyKpASC0azTIFflUzb5lJmH+GFk1ERbil31I4rVKkGkuuon1JrZomn3jiUo1UOm8+662UiCCAIUOU+S8Swkgqm8S7EWtmU5ufPU6rq+EdcSpG2LfWMZU6dCxOvY9jaSqBo20ol/7rNrXncQ2FKQ9Ux2MaU1niUb905SjiNEl+q0gJ4KwW6HL8iLCYpKm/ZhiPrJf2aM0nE77CR8njtugiraaUWDY6UaUguixlwgaChUms8pu9l2Ezhxe+7sdgmlufNNWhL+9XNf5ed/+if54vWf6luWn/751/M7//N/c+epYs/fBYaU1gmlNcu1JjkYoFSPuHRbvpFtzZZw91yZ7c97WuNaG0VKCJ7ipbihPljGIoC3fuxLbZ9nS3VGPYcg0g313Eqszpt2W5Rk446s4z9bCa6tCFU7uU1KowxsW4JqQJ8+KrpUS8EME1Fih1rabdJWg5YoVytm9K9neZNsYL3QStJtzke7+1ASyBZGcPn2EfyYSOdIyWo1QhCTi6Vo+DiqvmrMc5N+0yT7NftfM0tZ7ydRGhCaU6UatVBR9iOWqgFP2T9OuRYHUMj2erZe9JNYX/gc0Te/uU7tAK/5ebIHDgBmPEh1vK9EXMQSxoaH0zM4syfXv24LUk9/OmMZl6m8bKg/d0OQcmym8sbW27I5Tq3UAmqhIc6O5Tz2T2SZynrcfWrVtGNlVLCTebWZ20fsG81gW5J+sXK9TP5EzqGQNurfM6MpFor1WIG7G1qDLSQXTmUp1iPCUDdscKh0TJBXGLNgvs+5FudPZhv3P1msEWkzHyykTLmDSJGyjX+rNdPFWjgShdwbBFzmuAP5xQBm3/MhxgOFLQUa3ZhjV4Kwbe4qMDagHihysf1Tuj0AzMzRNceLVcp+ROuspPFvd/dqoLMnnyoZVeCUbZN2ZU/fYeuYMB8HWkph7NHx5Tq29HEsgWNLo4KuNK5t4TrtAWXJ9stYxsFzuu07gGNb7J3KNA1iCwbxMZpjBCMZBz9UDTX1BK4liJRo+Ma1NrY0Ue1XGmZX60zmFLmUQ80PEUL0VOIVsd3pnJe6lrHvQtCzT2Qdi3PHMxxZqTZs/f6JbKx+bmALyTljWQ4ulnvuUYIwfqb4PSxXQ8YyNkuVkFPFGjtG0sYXpczzDTHEEEMMMcQQQwxx9mJIEB5iiCGGeIRhxSoMfmRUQJ52YIpTxRqzxVrf9PW1UHHhzgI51yJSCilhrlxHIJjtoXijTmzMqbcWtIZnnTfBxduyfPL7sw0NhqVqyHjGYbkaNJxvufe/q+G43whO/uIvMnnkcMd9zy72UuLvmr/4cczEm3fa1T03oXcWUvzU5TOU/YjZso9rCS6czD4i5OAhNo4ktWGr8y9xnJv0poKMa1FpIZccWakPTA62fZ962efW+05x79GVNY+VluDy3SOMLRzfxJOcOVjC2KEfNiilOFmuEyqFY8k2e7ZZJJsXVuw49WzJSi0kCNS6G92bwcOLFcYyLo9OsnuT6nYQxe3Nwl3Hbib99pEgB/c7T/T47kzetx860zOviUewuXT2qTNxa5WwYpN7CAbeQHuk0EkWjrTmyEKtYVtznsVUoUn2rweK48vrkwRsSWOzE8z1twK2JdsyVCTPAN2k47Wq2pLdP+rkf61M5sYPnef3T8s5xNkLx1qbHHympvlmE95GQFsK8ZGUjYoJULYULGwy+4MlehNQc57VRgpuRaua8FbhRNEnVJqrdxdiUhk4PfraRmBJgZSgIkM4LNaDvkqOJT9kLO20EaaaeIT6a4/HDVVTHREgSuZc/mDvOzFJhV/8aY589kbA1GvQY3JoS9E1ziRqhAlOtiilHlyosGPEaxAwO0nWIy//ccQa5ODW8o3VS4iX/hjZL3+LC7blmBnxuHzXCAq4/r5Fdo54zJUDPEuwezLDtqxRfr5gKoPGpE7nLW/C3mgMyCZfrWOxqWCBn8kWyA7IMkjqZvp5TyX8txsa31+zr8Dn71/iwqksIymrQQIs19cPGog6mesDIuxzjmsLqmFEvahQWjdIrIboqYkijWMJKn5EtRwigcm8S9kP8UNF2jHKuiMZF601riPwA00QGoVQoEHmbSUEJWPoWmsQQStxNC6vZQiq/eBHiu2jaRACx27aOSFgrrjxAIJknRREmsOLNUT8nR+qNTnoQWQIKRrNXLEHMXGAxZ1RYNYNYk2IJuUIakH7ucvVgOpKSxDpJlN3eHbTazYWE609RzJf9FESaoFukKqkoI3wCaZe+qkE+zFZUWlDXOxFjGxFPTRkx9McQvoiCFvJ6bQocIou/4JrmQbc630LaZ5CApZl5vlam+et+Iq//vuPYAvF7//mr3L9p/+Neq1GOpPhpa/4Gd74334Xy7JYqPS3sQcmsriye7xOOZIRbFZiYuxqLaIWKu48VeS8ySyetKgEEdPPf7op5ybqCMwG3YW2OzBBWEqJ1VFXSmsiNHaPUtR8Fas3NxVk/VDjoyn5QWNct+IgYCkEOiGouoYkfNepVSINe0bT5F3ZUCW3hCDSJsNc0p76dbtEZb9fi7REfxXpXhA0x32BOTfS7UT5VhvQWmeeI9k+mm4Q/4NIEUamfIYELBrkyM4ita5vzN9N8qgjzbUrMfnOsyVKq7Y+nPi7j65WWa2F5FwL1xJcMJUn41hILVipKYRoJ/y7lsB6x3tZ/bd/gd/77/0r5r3/RPYxj0MCjiOpB91EZdeSnDeRxZHSzG2v/zKlx17UqMtBcOAf3998Jox/TYhWlXDzh1KK2aJPqBT3zZfZN57BlZYhYkchsyWfpQfnefyeMSayHlftneDoUoXvn1rFloLJrNNcPwJBi5JvL7i2ZGbEoVyPGqqu9SCCtNMo11jWo1SvGEJsQtZEU/RDCtpCCgtLWIymLCzZbu471dxdy2RJcFpsyHja4f5YaCLSJngm69r4SrFYDdg9kh6wluFPV5f4+/FpMuv4NzQQIVme2M1tJ9ZWBM55VoPMOpl11g2mXGkhU8+XA+44ZUJHBKZfbS+kmC372CJZUxjbcMVMd/aOIytVprIeUnSr+jpW99o/ZYu2gIBQGXtTDRTNpwwYyziMZJzGN1IIPFu2fdeJhODb2egHIQfTOEZzcrnWNs+yJYxmHfJx9gitNceWqma+p9rtkgCWKkGDDN0PXp+sAQ2ir6bn3CVUkLJtzpvI46uI4ysmYHCxWmcq6xGpJDBMsL3gcbJY78qgN1/2Gc8YFeGRlE09DkKbW67yydkyv/wj54Iw2VuGO19DDDHEEEMMMcQQZzeGBOEhhhhiiEcBUoBrmc0MSwp2jKTZMZJm/4TP/XMlThZ7K1eW/Ih75ksN533fvY6ZmS0v796RFK+4YoZTxXrDGbpYCZjIOiwk0fwf/ocNX7vTvRUpTT2IWFrDeX+62IjTvjUy/vD13wbg0u0jWAK+c3iJ6azbUINKIIVgMuMymTHpRB9p1AOjDlHbYiLiDzOqgcaxjEpSqwO+FkREyvxm9UmHtx5C2+ZbdzzE4bn1tXeu3D/O/hc8dVNE+zOJ/WOpgTZXO5EoUK2RJe1RgdKKShhxqlhv2ZjcWnXBSBsCQqLmBcahPZl1+pKINoNjKzV2jdZRWjCdc09bQXBwaFarAasDpkbcLGSf3eqtIAZvFXoRhR8NCCHIp+xGGsVEMQ6aKZWzcarFR5Lwf4aFOwFYLPltKoHjWYdthe4Np7MFIlan2zbicnixhtY0yBIJBiVqhIqW87cOhXSisvQoQ2semq+sf9wQZwVMCmn5qAUVZV2rp+Jr63cbzQ8ghSEmgCGH9VKi3MpxfVDMlQM+e+8C54ynOW9yMBWytXCiWMeSkhHPZqkacHi52vfYeqjx7LVJPo8GEsJAK8q/8OoNXUMAsoXg2e/5RlL2uiq0rYi05khH0Ecr+diZOzVwBh4NsLJM+Z67uGj3fubLAZk4u89T949y+4kSu0c8ThZ9VmohO/IOQtC22a+OfI8eXLg1oSUQ0RU8sh6CyKhsC2Hmwrv37uPIoYfXPe88e+NjkOvX2Xvd1dQvuozau95HLVA8cVcBLZoKpEGkBh4zox4qsuuhH6f41hOrCODKHSNEUXcbU8TkTmn0+RQ0lHUBgsjYsaVKt41rJ2CblPcbgexByuxFjG9FK+mzFY4lyacsin2UGfuhM/OMxrQXW0K6DykGDPF6rljv6/sY1EaNp9vnjaKHhVOqnexazmSgvHF93VbS7smV9lFJQ5zhyDx/r9eQzO+d+D0nup3JOjBUiuPFGkIIJGaOOJn1cGWr9qPpFCL+GGpNWoIW5smV1kghiJTatIIwmHbdSZoKo+RJm7BiInTrt+WTJ+E974CFBSo/+1oyVz4OhQlk6fVmHdvmd//s7fzhn78dJw4u0IAfKhBG1b0TthRsy3uN41uRENQTIhoBjbX8ZNZhrlSnHEQsVEIuq51OLQFC8Ix0hr8tr03qS3DPiVUOL1eoh4paaNqJ0kZFeHsu1eUTSDnGAnaS/kMVcaJYa6SRbysSsGMkxajnYkvBU86ZwLMt5ov1WHUaqkFE2rGoh9r0VUdQDfr3uqR99+/PvX9zLYElm0rYdqzW33g3LfBs0WYPJvMuGdcmUhrbEtSDiJOr9Wb/ESImx0lmSzUmsi6L5ZZ5Y9Rd5iDSeLYgZRtiaDX+KclEFrQoc9ZDRcoWBLTb/cVqndVayHTWZWchTcqVZFxDvCsHIaFqJ0t6tiAIzdiQfd6L4Hkvwq+WUb/320QHD2JdcSUTb/lTEFCtK1KuZCrvIaXg5HKNKGa4Jm0hjNpHN9uC+t5z8A49ONDsxnvGj3V9t1j2G7Y/5UjGMg4px2IxDsyzhKCQsjm0VOHc8RxSCCbSLmNphyBSHJwrEYSKsYzLffMlQqVZroZdvX2pFrAt23sSk09ZTOY9QDCSkTiWYLkSUA81fqBwYyXZih8SoamGIYsV83YS31Z+MtdWAbYl21SuIXk35m+rxyBajzQjKRvHksyX64xnXFK2xUzeZSrnoYG/eu+H+bWff8U6NQ0PhAG/vDTHO8amSEnZ9W5a5xFfed/nOeB1b/nbsl1dtupHpB2JQDT2dAZBxrW448HltnuH2hBI66HqWmdFWnf5NQ4t1fnc/Us8bmeBa/aMtmUS6RSvHURkwZJGjfpkqYotBYsVE9Axlna4ZFshnvP1btXbJkdZWVlpfH7ZT7ycD3zoI9Dj6NY3XA8iqn6EY0vKNRPIBSboZzSTBG+3kIBFfyEcDXiWpLJO0FG/81v9fn5obFO/wDxXWmzLp7h7tgSY9d9MzmO1HrYpBxdSVpfCdvIeV2qhWQcJQ07+2M3HePK5EzxmzxiRBvsM+KaGGGKIIYYYYoghhtg6DAnCQwwxxBCPEhKSsMaQDiMNI2mXx+0e4+HFMnedLPbdzBAMlMlz47jm2raPtiU4OF+iEkRtQm+JkmrBs9ocSadDalwq1/HjCOQziY1v8ZlzZr9wE6n4802HFxnPOFSDiMPLVbKezbZsaq1LPKLQGGWOIUl4Ywgis7mWpOGUAk4sG/dmLTQbJ2MZh7xjM5Fx2D+W5lSp3qUe0QUpedpVe/ngZ+/u2vjsxL5xD6miM0Y03Cyh8oHFGudPZTakfrst75F3HJSGjCPXr6czDK01kTaKMg8ulk9bKXgQ9CIMzceKbvUtMuJaa956w8P4kebPn3fhI0RS1ZRrIQvrKFxsBVy798bPVr6+9QhOep1jtpasvHm6sdaaSBklp0RRK+UI0GZzf9tICjtOdb/QI/XrDzLOJoLaRpBxLXaNpTi6OHg64U5sK3hn9QbMaRMIBUzl3WZ60h4Xq9SjR32M+WHFeu/OsyUJ3yhSRqE3ehQzDqynfrUZKK0fFQLwIIg03L9Q5f6FKj9+wcSmr5P006MrVY4OeM5qLWIkZfckZJ9VuPV7Z+SyC5WAqay3adX2RIULYOo337Chcxsm/1Uvg6/eDEDl4H3seO0rEVqxH6OG9olf/wsuetZT+s4oHt4jmJ7VOAN2GyUBL9OlZjgINDpWqIXPfetOLt7RrSjXCWuDg1vr0d7dd6B//pXU3vVP3HdilZ1jabKeTT5tszqAenCC++ZL7B/LdAUEbxY5z6YeqLUD+rZgTJdSYMd2eS07bktD6BXQRX5y11GCX6qEjGZ7ZTERPbMHrId+y+RQGcJrL5JQ2pGUatGac/T1kP+t/8rYrTcBtBFhywDPeBbZP39b47tONd7UF2+g9sTHDXCXjaEeKsZzLoWMYLkcoHRTEVrTHQiRqD3fN180ypp0j9951yGKObCeLRsqrY6EpFqNGqtoqef4Ku94L7zh5zf2EP/l9T2/tqXoKr8UcSp4bXyj5Te9Dr5+Q9sx+qtfMu9kbJzsF7/RdV1L0LhuGMVK6Y17Qi2KOH8yh9LaEE2VphpG5F2nSw0+FSs8J/XgSIuZvMeJYp2lSsBk1qVcD7GkwA8VR75xI5dx+l13n+2QHpmgurKw5nFfum+uSx10JGUjBdTDCNeKSa9StCTp0LGP0Dx7qxCCsUft72Qi45B1bSp+iPDMXMiNVYtlrBgMcHilyracR9q2475qgutt2ZvUZ8mmQrAQ3f1eo0nZklAZ0rNnSyIdjx8t/pNe2UVsacomhcCL23E+ZZP17EZ9AKRcm11jkve+52/51f/6hq5nf+Izn8v/euc/MpnxGrZ6pRYgBKQS34RukoSTp7SEEWvoLJnSmqVaiBSCEc/BjxQLFZ/5ss9Y2mzNKjRHV2qcP50nl3IaSqLVQJF144ABv/vahUIe9da3AyAljGbcmABrjowizfGlavwcgowjYkK5IXS3IlSak+/+MDM//zK8Y0fW9p0/4Yk4f/72RiBBo1JazqgFihMrdWZGPEYzLo7VJPpuy5p360cmK5+FYKHuM1f2qYYRl2zLI4DRVHe2CgFMpPsHAmutmV2pUw8VU3mXjGeCjWxL4toSP4w4slTl4EKpf5aalge3ZNO2ODFR3dSmbpzfy+/uWiaTWCVQHF6u8aQ9LtNZjxYtfTIAAQAASURBVJRjsX3U5ehihRe+4IX8Wt8nacedgc9bpOQPez0zIJ9yLfU/+T9cLZp9OorV9W0p0FojEKzUAgIFji0JYsX5zlro1TcT3DvbHQyR9yyKfeZWU3m3y/d0Txz8e/OxVW4+ZmzZueNpdo+kuHRbnpQtCSJjA/w2Wy5QaObLTeVbWwq+f2qFzulKoDRTWcnJlTojGUNAL6QdvJggnvUsVA9C7sc++s987KP/zJOe/BS+9NWvdfxqSOZLlaAtw2ACxxKNbFGdwd8gyKcdlvqsKTvnYL3QK0gV4gCb+G+ljXJ/orrcK9tb1rHZWUhxbNX4oJKMJ61IVIVbbzlfDhjL2CxVwsb6b7rgYQn45PeO8Zg9Y+ZcDfZZ7J8aYoghhhhiiCGG+M+OIUF4iCGGGOJRRJICUlomwjZUECHYP5GjkHK46fBSXwfAWmnbwESOSzbmpC7833ejtGaxGnB8tZus0nm7zaQK7YflHko4/JfXw3veuaHrrOXE3GxpJXDuePcm5rnjsaNRGgecUvrMELc3iaE/ZuPQmHaddsymh2slejySnSMp7p8vI4BzxzNcMpXjhkNL3HGytO51o3SKJ108zTe+f4pXPfsiwiDiyzcfZnbF9LNdExmuuniG5/zOq87g0xnc/Ox2hQqB2Vy9cDqLa5mNnPvmy40NnYJnkXasDW30WkIwnmqq2W4kTeSZQD2KOLZa3RDB+Uwin7Kx/Ihqjw2kjUKI3htkW4H5Uo2852BbspE6sxZELJb8LbX/CdKuNCk1pWCpHFBI223t7kwpFW7mmq29YbNl0ro1NaYgCCOOr9RIO5LpfGoN2Q0Nmkbq4GoQUaqFPduBSS9ovq8EESPxhshE7uxV190UOh79bCbMdiLnWewc8zi2VMcPm4qd0YBpq01a3bP3gU+/zwpyqbVVJG0rpLKyUV3YIU4Xgyg69cM68VKbwtncC37knFGEbhJyzJ6xiH+FK2YK3ZnqxdrP1LkWjJQ2gWjxSaKxKGoSNxKtyeS+JgV3S0njFzNoYJchG9RYbiEJ9yNTt9JHWj+3XS/+dzLjMJ1NtdmP9d6vRrEUK8knNS0AW+sNr4lbcc54lh7cKUOks0WshNlUYG0lY108ZchoDy5VGt/b0qTfrfghGccCAenv37a58mnNWHWF3HVPb37VKJ/mZW/9DfRbYfav/g4uu9J8L4wKarj7MXz3ou9w9XcH74zlDOSvv4FEQFVjiBu2JdZ+v1oTRRpLGBKDBqa3bWf21Ik177ekImasjbutk9eVOngvv/2Ze9vmR7/zvAv7ntfLpvmR5kSpzrash2dZA41p/fw3jfKtN0nZAvuYkJUyrlwzANuxetvxQe377Gqd6UJ3oPRqdeOBA71Iiq2oBqqh3lsPTTC01sk8qDc0MJP3AFiqBl1r0l3XXd0g+fd8K1/8POXHXkT2lrt7Xt/xMmw4xOu5z1vz51qgSDvCqGjmPLQ29dwLKUdQD3RMABJcvC3PbSdWe9Zia7NrXdYHqpkpSdOs59b3n33ikzesIjz5K7+KpoWsrAUCwzjybPNtM6DRtFNbQvmJV4C/RiDj0mLXO7FiQly/NXGoIOc67SQ+C0KtqEUhmQ61co3oaisn4ixvkTZKmWlHUvIjhBCc/7mPbaBm+uP2H3kxr3vF68l7Fn/5qmupLJxs/igEf/qhz3Lgosu7lH4nsi5BTKJLOxZFPzIk5z5rQ9cywfCB0pQD1fWs54xnSNvG9uZdBy9WUhbSkEulgGpk5gAVP6ISRKQsCyEMCTGIBEGkkIDnNJWcEzJpLW5j9VDh2bJB2gbTNuuRbsxN1rNDAvAcMxYb22uIxFLArrEUTp9g40LGQfdZa934hc/wtPMm+btPf50nP+ZyMo6NbQluO7GCJWAk7VALmsGJWdei7EeMpW125JsZHRJxgEMrFSp+xGjKxrNMeUbTTkxQNMTAhYpP1rW6lNndWBnUkqJ3v47/taSp1+Wqz4TlEUWa1apPJVBYwrTnjGsEJJIhSnbYXEcKLpjM4X7681Tm54me8wwIOvpiNov43A1kMhmEgNWKTyHtIISgVAsbmYwS5FMWaddGACMZ43/wLMFKNaQaqDbl08mMx1ja4WSxxrcPLzOZdboUrwH2jWWweyh+J4iUUbYGmCv6jOc0aVtixWP4ydUad88W+55vyiixLZP5IIp0g/juWoJyy5iadkz7FfG7qLb4yJL3n7Il23Iu3z26ipSCJ+weRSDYPZ5hdrXOLUeWeezu0TXLA5CZ2ME17/8iX3EsHrMjT+XoCQ4fmuXzlSz/8wWXkHEtCsKsB2ZLZm4+krZZrho16oxjUQnCRoBa1rFYDAKK9bAry5kEUnG7biuDa3GwI7A57UhGUzajaYfjq/WuzHM78ml25lKxGrTP8dU6Bc9qBGt5lgkaeWCxytGVOpfP5KmFqiGq4FqCMA4AmS3XG0rwQaTYWUhTDcMucjBAwbPJOjYKWIptZqkeMZl3mI7nBWvhW9/8OldedhG33mHGGqUUJ2PieT8EkQkqrQaK6ZHOuZGmVOsfcBoNErvWj8/e0ZctS1CLK6XXfE5pGE25SCE4stI7Y0zZj3pmv1uqhHFQUrxmTNnsHEvz9YMLHF+usmM0TaiScXmAZxpiiCGGGGKIIYYY4hHHkCA8xBBDDHGWQAhDNCVWE57Iely1Z4zvHFpqqDMkiDSMxo6efjjydx9i7y+8ciDFXA0EjsvtJ2MVilKJwp/+Nu7sKcrPewnVF76853n5lE29fHoqhGvtf2Xf8CbK738PBAOqdn3o44hXvrTvz5v2TfRRP0mgtXFWpRxJdJYQEGH9zckh+qMaGBXOqEH6FtgtRI4HFytMZV02soMrheBZj9+NyqawhOAZz7iIgtBUqgFhTKZ1Oh3wW4iEJnjnC18DGEfhdedN4tnSpL6LneyR0oynHfaOpjherLNnJEXKtlBacXil2uUk7oQQsHs01abEo0nS0GqC6JFvm4sV/6whB0OTPJOyJVrr01ITDlWzFW4iC3JfLJZ97jixyoHxHGNZBz9UFGshljQpd1uVp04XQsBMwSPlNpcmaddubF4n7u4z1WoGIR53/p5U9XrniZZjO6+lNByerzCWdRDAYtwuynVFkFU4VueGplFubk03vRG0btasS075AccP2tPlUzYzI5oTKxt7txIaalhnK84Usb8Nw+nOIw7XEmfVuHo2ozEfEqKnbRLESl2dP+i1m7YUoi0zhRCiXXG162ai61PnhrJoLesA44QQgu/PVrAtwXTGXvOcXuNo/wuba2/EutVD1TN9/I7CGHJ5bTXGfkjZEjupix6FCaPmc0TaBDpVG8QRET+DbllPmLG4SWSI59RKDbRm74Xg2U9v+9zrGtt+7Rc48ad/jf+YJwCGzFT/rbcx/v4nccclcMld4K7D5wxsmJuAczK5HmpkaxthK+GptRz2le/dz9UX7qS4utL3vE9WSvxibmTDSsLQHHve+tafbnynpMT6sf/Am5lBCCj5IUGkmCv7TGZcCikbSwgqoSJjG1q5ryJSlo3SuoWI2nxbjUdqCQDIuha2ZbI5GOVXjYr7syWNwlykdFugRFsNbuGwvl72Gj/srczrDzjHDyPNSsVnpJFO2yDlSPxINQj0g2CQx07KmY7JwYOMQxNpj3oUcrLYTrJNyMGD3LeTkJpxJSlbslgJN6yum/2ff77uMdVAUw2M2qZj9SfCBdHaCtGtaLWoodJtQSauJam2kCWrcTaqSDUVMrnhJrj2qsFu9v/+vfFuBEbZNFKG6OV3ENZ3jqUQAiqLNVae9sS1ycEtSN6Jub4wyo2qv4hBr/e8WguNeratmcq5SCGRgh6keh0H0Bi1WEuYPjKecZgt+axO7xqozP2QlHj19b9GsFBlNO3wmr/7EgD7xlLM5FxStuxJtkqUNldbiJm1ULF3xOo7JvuRjoPEBXnPAdoJYp02t1QPOF6s8fByuZFpK9LNgI+TxTpBpBprze35tJmj0N5H046xzJZofl9LbE3HuDKoryHVJ5jBloJiLWQsK9vqYaFcZ/dYuhEQtRZ+4cefwk33HkPkRxCYua9jSRYrATlXMhmv4efiNXyxHpEal9QDhedIlqo+x1drjWcciwmyUkDWtQ3RtGO5f3K5hiWSrGaJIrNsEPfDlj4p4mvVlW6My+W6Qql6o048WyKFJmN1B4tomuOzG/s+bSlRClLjk6RuuR2lYhJ//D6SwAwTpK5YqoQsxWIfreRmSwrSjmQs6zXulcAEOJvnEZhxJNSKlVpA0Q9xpKTgGVV0pcwzaG2uP5PzBlD013iOUZKOIs2x5SqHlqsUPJu0Y3Gqx1yxE0GkCTsI5CrqDuDtDKhIO5KyH1ELI24/VSJSit0jHnnPYiJtc3K5yv99YIGnHpjkMXvHSTkW+yeyfOm+WX7vja/l65/7VM/yPOu/vYNnPfc6HFty7niKMIzYtX8n+T07SM1XyKUtLCFjQrVgx0iaxeoqC+WAiazLfNkn4VT7oeLCySyebTGRcamGEeNpj+05TaQ198wVSTmGHDyRMSRto5oscCz4kf2j1CPNfCVgR95FYPybixUfC83+iTTlQHEiDmwpVgOyro1rSY4X6yDgyh05jizXqYWKk0Wf/eNpHlys8vyLphrjUrJGqQbN4MVtBa8x15+vBMxXAnolshDAjkK7TzrB7smRdd9/gnvvuYdbb72VK6+8EilN4M4gKPsRpWpALt0afCLIp5yGz6+rzPF+4Frw+gVvtTxm55wu2dtI1o2tY+RoHITdjyTcy22f8yxKHWrRTz53go/cdJQP3HiI37zOBOINVYSHGGKIIYYYYoghzl4MCcJDDDHEEGcREpKwVmYhPpH1uGQmz92zRXKu1XCQGmWPiPGMjdYiVhMw6aKUNtHt0bnnU37CE8l+58a+G46NDU3g+L9/jYlf+EmyRw61HZt951vhnW9FAUc+9kXINZV0lyo+ExkHDSxWAhQC2VCnGhxhvttBI4jVYL59O+VrHgfVyprXaGzY3HI35YMH4RUvaoZgZzJMfeNbZHM5yidPMvfUawYqV1Jv42/6VYQwqc/CSGFJoxLw0FKV3SMpPNs4W/0wIZUah6iMNw4eLVVhS/ZXURlifdRDs3Hm2Sa9amdNzpV9lIIDE2keXKiu58tj34FtRC2EPyEE+UKKIrIj8djWIyn7jf/wWV64b4qcZ5NzrQYpuBWWFFwybfr5+RPNqaIUkr0jaU6V612qNa2YyXlknXYVHqXbN3TPJEE4UgqFxoqJGaFWLFbPztTgtVAxmrZJAzLebAtjZR2ldJsiXy94lmClxTmrT5MhrLVGxQqEFppzx7NEWjMXE1ItCUaMRcfKT1uD7SOpRqq/BEnqRnO3/tgK8mFrrW3kWp3H9rqG7nNsK3qlGTy6WGOm4OE6kpofsVQJTtuebybd8xCPHEYzDpGC+ZK/ZoaIVuyeSHO206EfiVnIozfTOXvmWGesFfR5RKvB+Dt7sDE66RBbBQ3cdapMemeegrceaeORx/GPfIa911098PGtPNb1bHHXHKTH8VIIJnMep2JyYs9L2vbApLhet1ur5Sdl3P7f38ih67/d9ts1N9l89Pkh+aJiz1Fw+0yXfRu+do3gKVesHTTb696eY5wbrjQEn1YFz2/fc4x//sDf84e/+aae5+/dfx5yfm5D9+y8fwINWErB855Bfecusv/+H4x4Lo4lmMx4MeHJWJGC22zHiUqhFM2gCEOs7N84prPdirqt6DefSzmGWFYLVLwG3bxKe4L1khFEMdEr7Rg18aRsljTEqvVQD40PJOtZ2FZTq7viG2XIJCuPaFFkdeMU7ZHSyHi+v9Hn1Fo31PGg6TvqdZ1IK2Y7g9pPnhyYHNwKCewcT2Nbkmo9BEKjrvvm34a/eMu653cqESeEus5yN99/xEofUYBWBb+NIog0Oc+8L6VNoFohDXPFesPu1VoIvrYlmBjLszAASXjXjTey6o00pgjJe7Fk71TnbkzG3zeZ4fsr/QMGeqH8sX9m7OU/hR81SZNpR8bkvvZ7tQVKxuXaNZLm7tkiQgr8EEDhWoKVuo/SmlHPBHEv1wJuOV5itR4hgLG0zfmTGcpBnW8dXoUfezmP/Y//t6GyJ0hKdduPvJhqoNg/nuKBBUPWyjiSYj3k4aUaWUdy2UyOlC1RaI6t+ly5PYcftpODwZDTEn8IgG3R8PsESpsMaIiGAu4FUznunWtmxQqVpsUM4keaYgchzJKCsbTNeMYBTcM/dP5ktkHKy7gyVo8257T6g9br80Fk2owJtGj/zZaioejay6/kxH3Dr4aomFhaDc16+k1veN1A5OAEL79kPx+e3IYAtsffTcaPNP+//i/yqqvJOBZ+pDh3PEs9UKRd48sZT7tkXZs7YiGOnGNjy7hsPfpCqsPmZ11JLWwSVZPfDFncBN7XQtVVP/VY5VlpYysDRRfZFYwdsC1B2hItwU1NCAxJ17MFkVYNhfF+qMcBJ5YUjGadRrBz61xJa81i3Faq8ViXcgR+KBlPe4yn+yu7WtIEM2jdQixvQco0bGqNLF3m/4l6fEVGrNaC0wrOTxJ1NAN+2v2pJ1aqfPWhJZSGcqgYS9us1kKK9Qjlh8ydWCYQiqBY5MKZHPm0TakWMZVJ8eLf/mt+7o/eyf6xFDtyKWYrPp+68xS3PLjAj10yw6seu5NIKR5cKPPV758ilXa4fEcWubzIVG47kYL75kqMpV3mSn5bYBpAPYgYSzsoralFipmRFOO4LFXM+Ki0aScjKeMDLkOX39cEBZiAiV2FZkaqB0+u8rX7F/ixK3fw0GIVW4rGmiAJlHpgsbmnIxE8vFRrtIsTq3XOm0izI1b2tS3R9Y7zaYeMZzFfqnM0zsQ3lrZZqobYUpCyjZ/ZkoKprIslun3dtiWo1zem+//kJzyWUi1ECMFUweXU6vrz9Zxn9u9SSrWpXedTdk+CcGLT8imLINLtavctqIeqp//TDxSuZeaxvc41pGBzVjIHq8Zq4gXP4dJtDneeWu1Zrk6kbNlFEM6kLGwpOL5cY7FcZzzrDVWEhxhiiCGGGGKIIc5iDAnCQwwxxBBnGYQAR4IfKxJtH0nz0GIFKUyatta1fj00juAk9VInyn/0NvS/fZjsO/5P3/v5qTQn/uUr7L7uahK3Ra/1uwT2vuwZHPqTt8PjzCZr1OIIdizBkb94F3vf/LqBnzUpcfCZr7R9b0uBJXXD+Zj9xs2USyV49tO6icLv/Seyj3lc21fZAwfgpjsbn7ePeHiORS2IyM3MMJfJQGVtwjHE9fCTr2xRrtA4cTq+KNKMpxxcKYxCTqgIY8USSxiH+VrpPB8JDBrdPkR/KG3eqVGC6O5jkdYcXKgynnHIOJKja6Q4j7rUQOlKIQjdaqObRWtpIyn5wN98lpeeM832/Nqb1mtBCMm2bIrlatilbJ4g4649vawGiqwr21LzbRW01sxXfebjTeBHRLnyNLGWEnzGsfBs0UiZ3YrJrMNSNWQm13TMh0rTJ4vmOtCUamGDCGy0nrvrrkeGx9OGEHSRg6NY1aqf2mLjXLrJMZt9363nnU67SfrvIOevp/l1sk864c1iLQWysxlRpFgo1ftXrIBqvUMR6Wzv+H0wkXMYzdisVEOWysGaxI+ZEQ+5RnrV/0zIeBb7JpspfTczhvqR4tjSRhOFb+2Ol2cLDoznsKXgRLHWTWhaA2eyyRv1sfbvaqc5hku5PnFtiN4IleLoapWsa7E9n9qQQueZxGo9Iu/KgZSHH2kMQqRNIADxX36JAxMZVmphg3AQabPeVVpveD7Uel+lYSLjNFKxA1Re/yayb/uLjV20x7XXOkYDO/7urejf+O+GuJGy2faJ2zjy+ov52Isll9+pueZGTaoKOr6opeDEDHzjSZKrv+ew829+pZHGfr37ubYhHiZkV9VCDpWySWB4+atfy8tf/VoAHloqUwnaG7SOyd2n26razj92lPJLX0D24/9GEBll4FrQJMY66yikJ4SzViXHrUBjmqPjebjWODL5u+O3Qa85QMWZ92SuaOrCvLOkPK1Ks73g2oIjizUmcg6FdDPDThC11k9TgdkPVXN+E//rWAKt29O2B5Hxr7TCsyWWNARkL25jWhuicaeSI0A9ipgv14kiTcaRjbqbfM0L16+YDpQfexHnPfhQTIQ25PfphCD1Sz/P7CtfTfkZ18DSYvfJr/xZsm/+rbavkrLaPaZy9gAq/VKY/4x/KlalXuN9d/6UTTld6/bRyGSMaW3XmuRdwuRYgfr37qZYLMGzngq1eN7kukx98ctM7tmFJQWpIOLEcq3tfTiW7FLfbMW9P/qMNZ+3J97yB/gva2Y7S5aUTky2akVrX5DCEK2UhounCwSRohpGLFZ8lltSwLtjkoxtUfIjVmNClAYWqyE3HlllJGVzzlgKMZ7a0DjTiSPXXsfRn3sj02mbw8tVDkykObRUZUfB42BMFi4HihuPNAlcloDzxtPU+9jkUGvStkATK7S2HBfGAb9aGxEEV0rynt3oU3aHJGfattg3lkYIEzReDyNWaiHz5YC0IxtrzIJn47Sou7bbgCYSRct+as8Q2xzdtEsSgRZQDxQaTcY1iraRMr66SMXKxB2B/cVaSLEG85U6p0p1vvKvH+57z05c66X4k9EJMy/o8fvUb/4y/vQMtY9+mt0jWWwpcSwR+4RFQ4m98ayiGYQRRJqSHxAqzXTOgw7SqxQwknGo+vUuIYJaTMTVKCJliOShajJX/UjHJOX+itoJwkj3VGAF855yrkWYkBx1+35EJ5Q29t2Sok2IoLUEFT9sW6cbIQHjZxdad9n8VkSKhtK5EJC2JVFMPkV0E0oTTGVc5iuG9G8l8tdrwJb9s2i4tiSMSdOVQHfZtBMrdf7lu0cbn/dOZnjuFdvZN5YiLQXnX7Wbh5fK7BxLo7RpWbY0JP6LpjLcfKzInhGPxbpP0Q8pRpqLdhQ4tFAmCCJCBfvGsliXbOO2Y6vk0x6PvWwfjm2hwoiFcp1KELURe5MgcdsyQSdCCBYrAedNyXiN57JSNcHoyzWf6WwKWwgs2VwXh5Hi0HKdkyWfD739Vawevx/HtrnqmhfyE6/+Q04s17hge46CZzGTdxECXMtiNCWphIbAe3yuxJG5IkrBzFS2rV1UQ0XWtfj6oSVuOV7kibtHmMm7TKZdlush54xnyHgmrOeKnaPkvBL3zJZwLclkxmW55lOKM90VUjYZu9snLYCXv/C6Nd99L2itORTb4fGcs+axo2mb0azbt/1IKdk1nuLoYq3lOxjPOmRTzTIHoeJoD7+E0ma/MOmHCdl3rlzn0LIpYyFlU66H7B/PkHZsJO3joR9piDS2FNiWmf8JjNpvqM0zTGZcso5NpGAmF+8fxAFl9Ug1MuI1njvr8mvPOg8t4N7ZIk/cZ+ogVM1xeYghhhhiiCGGGGKIswdDgvAQQwwxxFkIIcwi2o+MI/1J+yb4wn2nUBrG006XGuZaEfALL3gF6qdeTbhSJP/CH0XGKUznX/xK6q/7FcCkV2zqvfQpE8axt/d33tSlPgTG6VR4wlUoIZB6fRXhpMSLL3oFMmpGQSfKOUkKsQZJOJeDb9y8zlV740RM2pzKuURKMfmd7zF/1WPWVSXmWc8h+1u/2/iYlCeINELAeMZmPOsRRMpsVilDDdNaU/F7p+t8JBFpo2pwJkh9/9lQDRS2RUPtqBOLlYBFYP9YirmyT2lA4syDC1XOHU+jtOboSp1aOkeqWlr/xAGhgfe/43ONz9+fLZ8WQTi56u7RNKdKta727VgCbwDCWhDpBjm6nwLIZlAKwgY52JT0BxuVIKISwFjaMRuZsa30bMl8OcCRgkMtjuNAaTbzdrWmQQ5O4KyhSiVFd3rF00GrCpsUgqpv0r1mU05fwm3nd71+7/X9IFiP5Nvr2m3KOAPe55FWu/xBJQgrrc9IQMHZCksKxrMOYxmbiq9YqgQUa+2EqbQjSbs/WLstZzZgQ5y2Os1mFLaF0ExkHUQLK2QjQQKdtkQiqEcRvjLPM5Fx4vu0k96F6LA/2vTvc8azG36G9eD1YQ2kegQ4bQS7RlIkXAag5yKk151FXBk6+bsF1TBieyG97jXWQmddAz3T02451mkwWjcJL6HWlP2Ish8xW/K5YCoXp6FWZOLN3NPBzcdXWK2HiLhfKa3JOhZP2DXa8/ikdu6fr+DILJNZpy/Z5NHC4ff9K3tf88LBgvCEJPsGs0beO+aCBi9mS9biNWqClGMIIgnq4fqkJ40JsM04sqHeKJ7zE2Tf9hcbDhLcaDXbH/9n8r/zB43PQQjP/eu7yL3mYr70o5LbL9VMLgpGVjSRgKVxUFLw/K+kuej/3QQYcoLdg3yXwBLg2LKv+llCTHBkSx+OjeZIyu4iCB++/tvsaVGA3rKm9dD9jT9rgUmfXgsVYRKktg6qgVHIPZOorUPsSuBYgjCZs4tmHQkS+6W7jhctx/ot67BaYPwaQpgxLlHvTPwanVdLO7IRTL1QCvBDTdXvHfzYr02AWRsmJJKUbbI1CSEQQuNZoqUuNPVAtxGIk2BwpTVHF5ppspXWzJbrXeqqAJudQbUGNUopyXrxWKg14JP94jcGvlbDpqtuRdVBiOe1UDeCbh3LnCOlIfcEkfHHJV2scxzLuhbpDtZOEKmGsmE/P1Y1MAq72VwO61vfw3MsKjEpqwIcXawwGs9dEgJngvV6S3jw4LrP3AuWADcmiBpCaqJe3fkMzdYbaUPa9EMd9x1BGCq+e2yVfWNpLAlozaGlKk6sZHn+ZIZ6ZBS+g0jh2pKFckCxHuKGEfdd++NccMOnN2THg4kJvvPOT3LffJXn7szjWJLRlM03Dq2Qcy3cNdZukV5byXy1GuDJ/i1da82pcg3PlriWRbEeEgvdk3Es3Fj906i2Wm1zrpRlMeK5JmBGa2qhUbfItKxNBIZ8mnKMGnlncwp7tHGtNSt+wHI1IOdaLFUDtIbLZgpUWv1F2gQJpGzJ7TffyE8+/5noHr6JX/3tP+QX/+tvALA9n2K1PnhWqSe5Kf5kZIJUDxXS5Pk04M2exPulnyF6/0ewpWCpFmAJQaqFoHjBZB4BzJVrnCr5SCmYzrpUgoilasjJYo0DE4ZgrHRrfxVsH0t1BTDalumLljAEwUpL5drSBG3oNcjBljREVz9Q2FZ/j4RjiQbpEmK721HPrYIHiV8vijSlekDWcxrtRgALpXrbeNOKxD/oWrQ9Tz9IQGHakbuu2r7AirMAjKZspBSU6pGxZa6FJSWhUkjRHBuXa77x+addo3KeDLHC7L8s1aLmWCtprAX3TKa55sA4114wxV99/n4OzVeYSJsA4KxrUwxCRjIOe8eyBEqxXK4TRuDZFjNZj8duUyzXQjKuhdYw4kgeXKhz7QWT3DVXpGBb5DI2F20fYe9YGqSkkHKoB4p750qNtlNI2Y2g/1oQkXYkWcdmvuKTdSTnjueYXa0TKs32UZPN645TRRM4oZpz1QTlcpnf+cUrmbu3gmppVw/d+Hd88l3vZddjdvBzv/cVnnfhFJaQBFpx96zxay9VAiKl+exNh/mPW5rk6Sv2j3PJ+dOQTYMQFP2IBxaqZBzJjUdWGselbcHTzx3neNFh12iayazHvvEsDy2WCbVuK6cQsDOf6knQrauI22761prtaj2U1sjwNplzyaeddf0AjmUxM+JxMt6nSjsyJgeLlmP6237HkobYGwdbRWHEbKkpLJDMeQ4umP2uCyZzbSrGCUJlCPkmAENzybYCkWqfm0DHfpIGW0ims24jkFkAk1mXpUrQeILVWsBI2jV7UpqB5tVDDDHEEEMMMcQQQzxyGBKEhxhiiCHOUrSqtri25MLpPPfOlja1K7ZUCcFJU/xMb2fIoOkVk/LsfPGPcuyTX2r7rRanw+SrN5O99rFt57Si1VEy+/pfp/rCl0MtJGXX2D2Sbjj2It3cgIDe6Qg3irmS39goyH7jZsr33AWvelk3EyCbJfu17zY/ehauJWIygnFC+pGmGmhOLNdQGNWGJG2TZ4uGqtCjDdeSDZWFIU4PSgnOm8hyZKVK2e8t1/bQktlkOXci3UgNuRY0MF8JmMg4bMu5fOu9n+bpr3zaFpe8iSPLVUr1kJy3+SmgEJKsI9kzkuGhpTJ+pMm4FmMph5Rt9VVL6ESrEz9Rqzpd1LeIaHy2YakjKCRJ8VnyFd+fLTe+D0IF/bMy9kXn5qLCtM1eBBDXEij0likWag2H5o3z2rUFMyOG3FWshWRTZoO5lyVdz7p2kodbHfWDkPdaN3c7j+0kBvc65nQIymcCjiW61KB+ULC6hsr2DzOEEGQ9i6xnEUSKpXLIciXAtiQzoym2Wr12iI1Da8FCjzShp4O5DagGt2Ii7ayryGsIRBu7ruggHmwVDi/VuhTRThejKZvR1Na7uCaza6tFPRLQaO5fKPdcW7SmBZfCqCGejor6w0tVTnQEDU1knL4E4VbcNVvGloKZvMt01qXgxQnOa1VGPvEhrFMnUIUCxRf9FNHk9BpX2mL7NjPDob/5R/b+159ZW+VRWkzedlfjYxAa0mIlMEpbSfUnan3VmKiYpDROrplyzF9rzW3TjtXoW7YULL3spxn72D9tWSaRTqx1zWvfdxdXPXgXd/7OT/Dgfo3vwkgJrrkzw4UfuQl+yRyXEEQdm74qf+sTdQzMIe0NteDZnCh2Z084fP238T79Sbb99Z+t+ywbQfn5P0b23/8DMHPhtGOIsYNmAepMU+/ZspH+OQmiiFTvVPKni8RHkgS3NAileu0AurZj+yBSCmnJNtXgININpbpIaUKlG7+3HleshZsOELClwJaGjNlatX6kScXKpjIO4kjaWMaVpGJS4nLJx7IEKn4+pVVPcnCCretnmuPL7QS+8kt+HB5+sPnFi19K9nf/50BXsy0GXmdN5j2mYhJ4pODOEytd2WlcSzKescl4hnAmMP6tSOnG2iBSmpVK0+4naszJu3AsEatqxu0+Mv66SodPxLVEz/TpZxJKQ7WjzwaRRinjl5PCKL+Ljt5g1MKbfkbHlpwq+RyJSVuOFOwc8Ug7kt0Fl52xWnTGtfjsPQvsHk0RxI1/zINPXPo83nDjlxnxK33teFKCKJ3lc+/+d67eNcK5SjGRdeM2rpjJObzkkmm+/OAid82Wmco6ZBePMH9kntKBSxvXsgV9MzoBzFV8xjIudg+Ca6QVR1eqlHxDkuy0UcdXa+QmbHKeTTVQff2JUpj6dVxJzrHjsc8EyaQcQTXQDXXyTsJ2r6JHWnFsxfSlsh8hBByYyJqMXq7ses/PeNIVPPTA/d0XivF/3vL7vPMv38I9R5eoBoptucFCqS3gj0bHSa0T+N7wKdz9fR5cqjCWcVgoB1gCLp0ZwZGiobpfDSNKviLShkxaj5r2KdJw73y58S72jKbZOZJuBCRkXNk2LjnSqNhG2mS2a63bUNEwyilbdAWaJEEdSV1GoZnfDAIdE+ulEA2l+X7j/VwxoFyPyLg29SAi65kMOUYtV3QRxFuDUBLScb9rJ2NtFP/ea98g5ci4Dxpy+o6Ch2dJFis+jiXxLMlCJSAvRJvAQBPGjmUcqyvwbqkWcHy1afMns06bouqTzpskUJpff9Z53H1shaVaiGWZfQQtYMSzuX+uxH3zZS7fVkAIWKwGOJZk/2QO2xJobYj5roAr9o4xmnH49G0n2TuVI52yefp+C0sKxjKShVKdaqA4vlrHjzQFIXr6q10rYiLjUPIjjq6a4Ielio+QMJ33yHsWOdci5zl4lrH/R1bqpMNlXvfjV1Jf7UPuLise+vpR3vaGS7jsEw9z6bY8KjRzhkLKYbHis1QNueDANJMTOT751fup+RG3PbTIbQ8tkk87POnibUzKSbQ2bStpDxJ40t5RqkHEsZWIYys1JrMu0zmXvGt3KdnuHU0je9g8S8IDc+XTTjNlC1DS2D5LNpX+p/IuuQ7f5Vo+R89uzUTQ7dep+hGWhJRjMZZxcCxJLYw4sVynEigKaYtqYAJkvj/bX2BECtAo0o7dCICTwrSvSBlF8I364TWwLZdiRyHFfMXnxGqNeqiYyDoUayELlYCbjyzxxH0TZFzbqAjLwTJaDDHEEEMMMcQQQwzxyGBIEB5iiCGGOItht6QOOmcyx76JLBU/4PhKnfvmtkZldNePX7PxclXLfX9bqAQsXP9tpv/g10nd2K2gooG5Zz6P6pubyryeLRlNuVSDbvdJ4uDbKjXetGsxXYgZdNc8Dh5+aN1zpMl13/hcqgbMlYwTUWEcHQqjPBRpbRQwH0Xl4FYE0fpKVkMMDksYYuxi1edUqXsDGwxJ9YGFKlNZl0LKECOOr9bbCDZ7R1P4kUmjdmipxkrL5mXguDiBvyWbljqb5brzJ9k7nubciQxK6Z6pyjYDWxrlCdi4ul5na6zFzt/T7TUFz+77Xn5YkInbzEIl6CLw3Hh4mWedP9lIfTsoer2/RMWlk4x0JkgOjWuHmsMLTWX3IFQ4PfLutpZ2kNIMQgjuhUHO6XfMIAQfIYzq2aYQEyQG7XnJBm4CpTXFmHi+1nN2XT++hgSynh2Pj/2xWaJTa5nGsg4a3aWiuxbqYbzpqnWLImgLNUDrNd9dJ8GmH+F7JG33VZ6NFJTr4UDp2FvvnfPsLnVWxzJprMdzTkzK+sHbYekk6p9tiDZl286epxmkJJaQRsYHQ/AZJKbmTD3hmbjuI/k2BHDxdB4pBQ8slLtUT9eDJeCi6TyWlGitsS2jXgbGPmt02/gbKs2OQopTpfqawVBKw/dPrXL+VA5HyHXrZFBLUg8Vh1YqJPnrWze/OwlKoTJZMY6u1MnNHucF7/4fuCeOtR0z8rEPEuYLLLz596hd/dQBS9HEw8tV9o40FcISombKsdg7kubwSqV7LXbgAg5d/23G/ug3yX/zK43ymz8EfPBjZC+8GKWbAWdSQCI42DpqNJR/aRJYOkmXGkU5bhcCyLlWixJfO7QG71d+A/+hg3g337jB2hgca73vkfMu4aoPf5+rWr5LVHVbsV6b6pVpZVB4dn+1y/qPv5jDl1/O3l945aav34VjTSW7hrLxBtitjiXRWpl/0dTjtO9+qNraX+LHSIhV0Gw3UhjyZUO5cACkW9RS15uXd15zkHHYsbr9Lg17FN/PlgLP7k7pLsTgJPFOBJHuGQShzKtpED1br1yPCax+qFiN54lpxygQn1jyoVRi16uei1XfmvVhJym89buULVh40uOg3MNX9smPU/7kx5GPezzj7/sgoTJKt1YsTOlHCikNmdf0ofX7kWcb8qHn2IZsdXylLchoMuMwk0/jWcYX1EqurAZ+rMKsDZFOdJOEqoEi4xoiotK64aszc9Q+5euhWL0+Tm9O2+9ukTbkx+QIS5j/ki5T8VWbqmHKtviRc8b5/P0LgMnM8/BSDdcSbMsaJVRHCr50cBEFzJbqpGyJmD3Jn/zNRykUcsj/8pe8+sN/zI6l433LtTS2jX//4/ex37O5Z67MvrEUBUcgpcQCin7ETM7lnI//PZd+6oM9a+fE3gv5xu/+NWuZ26Rf2D0yPiRzif3jaWwpuX++2WalMH3u/oUSl82M4FqCIOq/boIkYMG0s7STtIH2tpDYQEcK0p5N2pHMF/3GeFqPIparAZfPFBrnRFqj42ZZ9RUpRzQIx696wTPXJAcnqNfrXLx3kpsPzlKrDxZ0+hQvjTNgu0yecs8f/ze8t70TT1qESiEwfUYICLXivpY6DpUh9Hu2xLMtLAnz5YCsa+FXQxYqPrtGmxkxthVSHF2qYMWBSp32tRr0zl6XtA8BpFyTqa/zmF7nWdKMS7UW/7wljW85ihfKaVcynfeQUjC/Wm8EsINpD2Fkxqj52G+e/K612edofRO2FA37o2k+Xyd53YsDRTrnwcm4m5CLI6W77FnOcViq+SxWw7a23E/4AUwWL6eHCnfYQZjvXOprrQk1nCwFpLMpHlqqMVeWHJhIk7IlyypEoyl4FtUoZLYUcPvJIg8uNv20j9uZ5wm7Rnj2xduIIkU2ZXN4pU7Ks7lntoxS8KzzJijWQiKlEQjun69yaLnGhVMZzo3vpeOsI35kVPkTtd250GciY7J13XmyiDdfJlIKz7LYNWKjFHzqHmML3/e6x/YlB7di4WCdN/3cRfzzRw8ynUtxwVSew8sVHEtS8SMWIxCFDD9y5U6OnixiSbjt4SWK1YDP33yUw6eKXHneNJddvJ1TMel571iqa9ydL/vMl312FLw2mz6SspnIuPihCdrTWnOiWCPv2fhKMZp2GJ+aZv7UiXWfpR80iYCCmZikHclIxiHtdlMs1rKZUkr2TWbQ2ry7zmPTns2eDlGPlGOzd0LG2RUEWTdkvo/vW2CCOyezHpaQDRJ9vWVM3AxSjgBtMhioCMZTLrYUPLzULqISKs19s0Wu3DWG0sYW/YBqFQwxxBBDDDHEEEP8UGJIEB5iiCGGOIthyeaGCJhNkZzncv6UwwMLpdNOIQtgRRtT5hvU5T/7B2/FlpD3HCiVKPkhQbo79fFY2mEm5zWivDOuJNJQH9DpuVFY0jjfTwdCNFUNwshEXYeRUakxkdhnD2EkVMQbnWdPmX7QIYVgIu2ScSxOlvor/c2Vfcq+ZDTtNDY+duRdHFtyaA2S7gff9u/8zC8/B6mb5IPNQAC1j13PjYcXqQQjnD+V4/QpuO3YyrTb3hb0b0cKprLuphUYz0ZkXaMwl3EkRT/i07Gjvhe+eHCB5VrAKx+zc4vufnbajc5SraVU3+/8R8IqrncfKQSpHpsJg2Kjz9B6rNactvLpYiVgIuuQ8ew1lcNPlyZgUjjbGyIIl+oRpZaNyq0KMkpQrQdkPJucJ7H6pO8VAlaqYVs5BoFryYaqjNLNdmTmg8OdlTOF0oCkgbMVa1M3DFqJXO6gc8Mz1OTOCEH4NFWhBsW+sTR51zEbngq25z0eWKysf2KM6azLTD5FpFpTbCtKfkAljCjXjWpeNYjWJP/0g8aoCo+mbfaOZnum8V4Lk1m3KwCp5Ef8+93zPY/fPdpbkW/y4Pd53lt/HejdjOziKtt+/80sveb1rP7UawYuXzWI+Pz984ylHQopm7If4UjBci3AkZIDY1l25FOs1ANK9ait3TuWQL3lLxkZySBFtwquJY2iVoLW+vdsGaevb37ZWbOhVqj4pNV6wKmOdYIha5j+WqyHuJZgeyHFiGsTaUH6/e9n/tILBq6LjaBfwI5rCSJtyBRpmSjwKZOFps+42UoQb6qgCQppl3I9JO1YHFveeECiJQTnjGeoBBEneygJZ889f20F6C3Aeuq6raiHpp5a21ivOouUIZH4kWr4CSxh/BJ+pBuEjYy7vo9iLcXGfmimgDetoPN8KZrvMVRqoMCmUPUm81qnESjdz4RLYQhkvesWHp5vt7/VQGELTf597yL/D3/b+L4zwLBfn1gLD89XcGLCZCfKj71o3fPVzd9l/nnPovCv1/PwUoXVjrnHOeMZ0vb6awPXEkQKTqzUGcso/FAxnU2xo5BGaY2MSUxam4wUKYeYWNcd0NE5X64FqtHPglCxkddZC1Tf+lG6qejbIMi3/G7t20f08MOD32yDiLQhN0dxGW1Jo37AtIcLJ7N889ByWzDHvrEmUTPnWVy6LcdNx4pUQ6NKrAvjPOnx5/Ot797HFz71H+Tf8L+oh4JLPvx2nnn4O402dvPuS/n0NS/jnlqBp8wXOS7AdS3KgWLXiMdKvc7e0RTjaRvxjCdyWUw077XO3X7oHl76X36MI9d/u+d8KlH6PlGscc5YtmudNpPziLIeThykdOFkDk2ssrlYoR4qdhRSjfdox0R21zLkexkTwWuBxu0QI2hVc+2EH2q2TaQbwZXbRlMEoeLkcg3XtfGsplqrbaQv21Qna4FuZJ763ncHD6apViq87/rvsWh3+6N74QXpDNmN+oy/fgOOkIyljdJ0JYhYqPhIKagFEVnXwhKwGvc3EdvdWhhRDRQFz26QaAspm/Gs11zrC8FkziNUmvlit5/LtYySesazWCg11/d+pGP7LrrUlxO02l1bChxLUA9VGzkYjK1tVXGu+ipuV4K0a1GsR4j4ufxI49nd9kbG454hkpu25EcaS/bOSiClYX9KYCRjm8yILRDJszWyMaw9Pp4s1buFCkJFzrUYz7gESrFUCRpjesbtvcbvHPtWawGXbsszVzYiEg8s1hpK5NsLHvvH0zhSkPVswkgxVwn47tFVrtqVZ74a8o2HVxhJ2WRdSdlXOBKu2jUCaLKexbZsmlBpnrB7hEoQcc2eERxLUvQD0paNLQ3B9AUXTfP5++e4Z65CqDS7Cy4IQc618GzaAiJynsVCJWA84+DZmpVayGTWQSJQqjnPu/3zf0FlbvA18tFbl7lgqmCEYUp1Fks+kVIcKpp2mbIlpWKNu48uU8g47BzPcGyxQtq1OH/3KM94/E6yjs2dh5aoBxHbdxe67iEF7BvLkLYtLCE5slJFANvzqUa7VZFmpeYzWzb/CWA84/CBL9/Kcy7eNvDztMKxuuch1UCRDhVxt++JfivuhOi7kVVa616WbUvSjsXukTS+UliChjq2LeTAmf0GgWuZOUWXXdCQdRyu2O5w/3wJrU2/URqOr9S4dLvCtiSBirOkDl1ZQwwxxBBDDDHEEGcFhgThIYYYYoizHI4FdkwSbjjNhGD/eJaD8/2VfDeCM7VGDxUsVQOwPEh7Xam3do2kKLhOm+NirZSe1aBdNWIz6PesAjj2F3/B4tve3vZ9+tprOfeD/9T2XWtaywRhnMKwHurTzVq19YgdMWdduX6AIYQg49hcOZPn2Eq94ehvhSUFExmH46vGOWxLKAeKlR5O/U784//9LE//6//Onrtv6X3/dc5PNjxP4VEJqixUjGPWkpKRtEnvd7ahGqieaRA3AiEkbg/F2R80pB2LpVip/ODixggW5Q2SEYEGmaUTvVTdHym4luipHtwLraUcdDwbmsPTR6Q0s0UfpxLg2pLxnIt9mgE4/ZB2LfaMNzfoTyxXN0RYON2JzjcfmGfvRAZLCL7/0Dy/+8GbAbjpz5/Pge3dG1enA9uS1KOzW233hxH/2eo6UeRKlOJ+GPBIPUbBdWjlPhU3SC5PyMGtmC3XexIiTwfL1RBBmZ2FzIbWAE/YOcIdJ08vU43lV9ckB7d+P/a+d1I77yL8x1090LUVGqXhVMnvIuCCmQOlbJuUbTOd0SzWfE4W64ymbPaPZdFotDak2NaNakm7ClyrBiIY4qgtRZMYog0p/US5Rsax8GyLhxcra6Z87yTp7x3LMOI5jXVlPwLPVsGfnkH5Pinbaqji6ZgcrLRGgEkXXKxxwWS+73WU0jFhWuFHCksKMp6LbUkKaYdaELXVlWsZAoSIVXI1RjGtcz0dRJq0bZOyLEY8h0ApVmoBni3JuzaWkCx87HpSL7tu0xkKBsF6/gbHAoEh93Yq6PZCok7ciiQ1fCsG6aZeH3VeQXv2qVa0H999F89pkr48W4Awvo1WZb5BYFJXD358J3qNRUL0VjReD6vXX49oIQd3XXejhQN4+7v6/lR+7jMGv86hQ6x+4QtYVz25+6elChdM5ZE9FAUTSAxRKVQaC8FSJWjY+CQgJKH42lJQD1QjRHi9d5qQO0Nlwo56Ne/1lmd2rB7aept2EqlR6rYtgdCapXIdrSH7yc+y+pj1SdZt+O0/WPeQhCCvaaqKhpGJwDMf2yvkZx+zAz8ygf/1SFGPIubKPm5MDmsLuASwbS58zjO56LLzmTx3D76w0ZUaX33uL7D/uX/Fp28/yexyFfuhe7m/lGKhWufW+2fJr/psK3hsm8ozX/a5ZDpLLYwY+YnnoMvldcdOgF3XXc3J//gOGcci5RiVTqBB1vQjRSUMG0FNCWwpkfFnIQQ5zzI+Tj/Ciomraae5ZRgm5C6aAQ1SmPfq9/Dd+JFuBJy0QgPHliuU/JAw0ly2Y4RaoLAtY3cs3RyHkzbeCaU0b3jNT/Spnf542+ufyXKpygdfl6Zara557ESf4M/1kIpJr5HWLNfChlormPeWcS225TzqUcRipT1QtzVYIO85QGvL1DHh3yj3VnxlxuBQsXM8beovbhmOFCxXAoQwRF+lDdFWCt3TxiZjWDLuhXFASy+b64eqzYaEkcKxrYZoQNqRTUXosD1A15KmXSX+/tYgAdFHebwWKLKuZDLvIYSgXFcoNFppXNuoBreO1XaPNuNYxi9bC4yffjRlUw0i6vFDFDyLXYVMY09izHNJZilpW2C1+DZUnIGoNYhGAFM5D60Fec/h0/fON4jeU1kHCaRtQ9JdqgR4Fjy4WGU0ZSPQWELiWoKVWsjF27KMejYaTco2StTTWZdC2qXuB6QdyVI1YKUeNgQR8p7FrpE0tUDx0FKFHQWPi7dlzT5M3CaSgIepbJPFmrItSnXTDkfTNp4tWCgHXLwth2oh5t/+qQ90vZe1oCO49kXn8ffvvYXZUsA/fP0QF+wsEFmmT130/rfzsm98GokiEhbvfe4buX/P+UyN55jZPsZoyuFr9y/wnYeXANgxluGy3YWG3cu5FjsLKey4j45nXGbLNbblUiZTTgsWq80+pomz1m3CVfWrb/5NHMv0LUeKtsyAAIvlgIxn4Vibsxsb9fkorVksNlW7C7G9WPe801gpSylQa0wewsgQtOfKPkGkGvsjtx9f5rG7xwBBpMEeEoSHGGKIIYYYYoghzgoMCcJDDDHEED8AEMIspHXL3tLu0fSWEYTP5AZbK+bLJkJ9tRayfyyDuwkHijrtfdPuJy3ecAOHXvXTPY+u3nADd+7eQ/4nf4K9f/mXQH/nTaKEsJUqhVuBqm/URzsdWVuBQz/7XAp3PYSML13LSLIf+Fdy+w5s+b3ORkxkPH7yshm++MAiDy21bzRESnNkpU7GkYykHcp+xEptcBLJl9/4p+Y6c4s8+bbPUy2W2fe9rzM+f3zNPtv4LZ3h2RdO8ewLp/iXO0+xXA2YyHqMZ92zkiAMJlVZogqzGZgUemfnsw2KQMGX7+2vErwezp3MbOKeZ5fNAsh6m1umbERZ7j81AXMLB32jqBhhy4CRjNtQhdpaCKxY8TRR7t8I+pHgB8Xfff3hxt9TKQvPltRDxT0ni6yE7SSzhKThWYKiHxEpzXjaIeOYDb8g1EbFrEfqdnO+ucAPY9s8m59puF81xCDIOFZXBnXHGny3uZCyH9GAvaVqyJ5Rs3E7KDbaF3od/5R//MsNXWvyz/+QYx/5DGjdlyiSIOvYPPPAONfft7DuOC6EYCLtMZ5yGypdQUTPszqrSHf826kenPy2WAlYZGOK/OMZh23ZFFIYpc229aMQccrhwTDIOj4ptf/xz3Bqtc6OgocTK+MpIAzNWPWalz2XW278RuO8573kp/jff/OeHlcUjRTfIxmb0YyL1pogjJgv+UQd6rJ+lBCT2ql1aUfiB6pR95o49bgS2EJgS0k61z4fzO7eyeo/fpTMzzQJYltvv9duWbY8+9b7TpyKXcY+I9c2bWsQtbaa38zUFEaGeJV2DBnSsQSuJaj4CqcPGVBgiHHVQLWlg09unZQhUZdEgNOjDnvVuNabe7/6v//6Js5aG9mnPM1cu1dBTx7f2MXe/EbkV7sDgSMNd80WGU877B7NxKRrgRTGtyCFQGsotwQT2JbxkXVOdR3L2JLWWnZso6ALhizVqgiawI80GUfGBGFNFAcE1ALFthGPtGthl33qCVlWG9JoEnBU81WjPYCZ74Yda83EngqgErSs3XN5KBUHrsbsy17e9zfXalcrboXdR+XYKAtLnEjGWbjg9pOrHF6uUUjZRBpuP9EdQONIwZ1hjv0LdUZzmr2TWdJX7eOmQ8vMHVsiDBWj557P5ZEmsG1KgcK2JTtG00zkXAopm/sWqgRK8/j5uYGeXWDIlcFt32Pl0iuRwmkQxiBWydbw8FKViUzIjny60UYSEnhjGaJNexBCsKOQYqESUAsjHLeVHAmVQJOyBYHSWEI0yKS1FhJ6goREKTBBCJEy7/xUscapkk/GkYSRQmlNLTQBOPfOF7l0ugBrKKX7keYrn//sQHXUinq9Dgi++Z1beMxlaxPRaxucqCU2qhKEzFV8/DACjCK+JQWpWGn+eLHGfLnOaNphIuOYkUYY4m01iBrvI9fDD7Jc9hvr35wnmSqkCCON3TEH9RyLWugDGkeaui/XlSF0x+NEz2duIdr2OiKx361L18S2pz2L3eNpvn1ogZRjkbFtvDiwI+0YIq9jGXKw3aEWrIhtkWPqqLPqLUs2lFZ3jnt88b45dhbSPQMdBAKBbiji6zigzDyb4JLpAilbECq4Z36VeqjZMZJGtIwyiSqyBOoR9Erb2Go7do2kKHiGeDuasnn2eZPcdHSFvaMppNAN4rFrS7zIjJHnTaSZyDi4lsWJYo2n7hvlpqOrbMs4pOM+VwsjxlMOhbSDH0acWvXx44qbK/sN8RWl4e7Zdpu0Wgtxpejyl+Q8m4Jns1D1WWjJuGYCuoxd/P6pEudNZPFsM0csz27ct3rs/hNcumOMW48t84pr9rBaC7nkl3+K/Gz7OCl1xC99+v8AcNOTfpyd1/0+Nz20jLJtnnPldiwpma+GfOfwCudPZ7lgIstUxo3rSDTmLBdPFxBaIzvmFedPZrntxKpRRxdwYDLLwYUyf//1+3jtU84f6FmElPzSb/wuQWRsWsoWPYNrjy/W2DuZ6SmRm8zTtW62h434LDtRD6I2Wz8IvA6l941iEF9axrVZjTPqjKSMsvXx1ToX+BFZ1yZU5j0MVYSHGGKIIYYYYoghHn0MCcJDDDHEED9AsCVEsR8g69m4lklVeTpQtKf2Ww+nu6ddqoeMpm0qYWSUKzboHfCj0yMQdnpgSjfd1Jcc3Iri//soD4cR+972f0j0GXrVxSAqQo8Gtjor+cM/fR2Tdx1iIv6cXD5bVvCS5zPvwOS3797am56lSNkW1503ya0nV/nW4ZWu3yuBohJsXhVu3/5tHNr/aqJQ8Q8XP5+3ve3Va/bZxquuVnjg6qu5+Obv8vIrd7QdMJqxWa6cnUTa000RnnVsls9SAvQgqPgbVwBuwyaqLzjL7FbesxjJDKaE0Q+n43TfSpzNhMitxko1ZKUasmM0hedsTkFlEMyurq/C3grH6k5xejpIUq8CnCzWqfWRornr4BwXH5gCIOtYCJpEiShU1EOFZ5utzGTukHZMCvtNCtAM8Z8aa1u7ZkroRxcCWPU3RqYcFGfy+QRw4XQOR8ouRcXJjEfJD9cNAtuW85jOej0V3KwzWPZ6qLpUtRLcfHyV7x1fBVrSrG9wHtYrJmTf974+8PgrAGd5gW/efogxIp79W69CKkUjDFYI+ODHyF54EYcXK0ghyNqSK7bn2Dua5v6FCnfPrh00u5Vpdjuv20uR05KC6ZyLwCjzWi0MydGUjVaiUaaEgJeQaKwPfYzwFS/dUADveoGDAPULLmlk8lkoB0ghyNg2OoJrLjuX5cU57LRkbL+HsAS15ZBPfeIjfOoTH+H8Cy/lX77UTOduSRqMaj9QHF+qEka6p/KuHae674VQaXZNphuFlFKwUvFZKoc9509Ka44Va9Sn98D132bvNz6P+OPf3Xyw85++tesrW4o1/QzWGsS108YAXS8h7bYSlFqJH0lVJ58H6c2GSGr+jnT78zmyqZoa9AjktKUhy/SqkwbJvktyFSyhBw7U22j3LZ88uaHjB2k/2Vv6+zXK73n3hu6XoN6hQnnBdA5XSsp+yAOLFSazIY60SDumTXaT7A3CyLTLVvJfr6B1W4q259SYQHLPNn1UKeMbdK2mQqIl4uMCxWjaIe3aCGA047JSCViKVVATJVlLNvl0Upi2tZZ/rDPLVfaG71C+6tKm03MN9Hsn6Tayeu8W1ovslPAsk3pLghxufnCRg3Nl9kxlWW0pliNN/aAhE6uk33l8FdcSEI1yaLHGaNpidCzD4kKZwLI5WQ+bETtRxGotRJUDZssBe0ZTHPi1nzX1su7TN7H7za/jyPXfXrOfLFQCIq3ZM5IhUmbsCpVukPtb+7QlBONpp2/wkyUFUpqggda20olQmTWYjsnHYNrERNqj4DlGBbMcmHYpNHfPFcm6NpUgQvaZs4Bpx5tFpBQXXnghL/mJl/OJj/5z3+O+Xq9xseOS3oDcaJjJctdsiULKolyP2DuWIW2bbde0K1FasHckzaofcnSlPUNUQjgseDYZVzKWiZVetWa1GuA5VoPsub+FhGhb3XXROt8JFARxAIDS7aRGo9xrgtySdW3KlWilQTeJ38kprm2UwZM+LgTMx5nRbMsQ6jOOxbHVOlBnMuuSc21CJXFaxlXH6g4YABpk4q7MAjFpWGAU+11LUA8jXClxLGnG7BYbo2n3yacciRTECsymDkKluXAqzwMLZbwe83pLmroP476itVFvllKitW7sweTe/y7Uv3+UstZw+RU473wv27IuF02lY4Vi0Xi/OcdCaAi1phZGTGRcHGkxnXOpB8qMB/FYev5khrQtCaKIh+YqSKGohoqFSsAVMwWiOHBmz0iaSAnqUcSpUj1+/+Y315J4tozfuyFKZxwLtGBPwaaajThVrDeUxyOlG8FaBxfLjHjG1utNBFmrOGBkqRpyZMXnGa95FnZo2kqv3quBq771aVZ+7QT//sxf4+mX72C2FgERUzmHrGNx6/ESi5WQJ+0ZYUw52JbEim2wwJC5pTJtSMUZQoQQXD4zQqRNposwgvlKwHdnQ37vn77EH/30j675HJZlcd+JIttHPUBQ80MWykbJudwRWKOA5WrAaMbtus5KxadUC4m0ZteYUXtergSMZR0yrt2mFK6UaWf9INicDZRy89IIg4rg6NiGrdbNmlgImM46fPfwEk87MAmIxrgwxBBDDDHEEEMMMcSjiyFBeIghhhjiBwhC0BZxf8WOAjcdWT6tax5537+y9zUv3NA5YTq9/kF94Ec63pwMWHR89o9mN7xpG5wGKbrzTg+/5KUDn1v6xCe481Of4tIHDpJLO9T8iBMdzl2tzaaK0rrL0fioYgtZaodf+lQmH5oHuusz+ZwKYPnxFzH63f8cJGFLCh63Y4TprMtn75vvq8yxUWzLOnzxzpMNhYA3v/fXjTN/wPPV7GyPbwVjWRfXkswWN0a0eySQKKn5odpQWlswTuARz+EYtfUPPkux0VTlndhMyyvWTpOUvMUYzbpbRuYZhDSzlrtcdBy7UWzeFb/2NTnN654pKpqAvkSgrbrDzIjHoYW1U8MmSDvNTc/ThRRwzflTOCmHiw5M4QrI9tgEShD2matEWjfIPEma3oScUw0UBaWpB80+2UnmIE7N3uslSmmUz85GnIm+8Ojj0SfcNrF27Z4s1ZjJej03HSV0Kb+dKfgq4vDyYP13ozgj4uWYQLDLZtJEqqeQGKHS7B3NoDHp4Vf7jOPTOa9vJhT3DOZcvWeuxAWT2UY63lZkXauRBrYVF05mODDZvt67+ViREz3mjb1U48Umgr1+6v/7yUYAXJvd0xpe+VKKwO//ikl1/LLH7uQlj9mJJeHcsXSDILwj398mm2ttrEydSne9IDoZbphxMGVZZFpStAsBU3mPlCNZKvldSo/1UHHHqVUY28XEBZeRu/eOdYmLPXiXPecItXMOcOptf9/4XAkiDsWZT17xhH2kJzWP+ZlJtl+eNSmENQhbUJ4LOPgfK9z3vTt5yqX7+PqdD7fcxdyhGigENFTvQLcRFXul/E4wmnEMEazlIT3bwraimKAjCJQyKpkKlFaNMV0KGH3ZT8BLX8ZtJ1d53M5RFi67YI3a6kb22c9p+9xLTbUTrv3oqQdbwtiKakzCdmNmTC9V3wYGaPN2j5TZ5ntDtEpen8YQ/VK2bJAR66HalM+jX+CWJWmQuCAhvao2NWIpRHz/ZuBL67qh/BPP21BZ+s1PGgHQHURU3Xn0h96/ofsR36/UEhR6/mQWC0mkIGXbXLF9hCjSDRvgObJRSIEhcvthk7yXpO5OORKlNKplrtl4HkFPcYF6qMl6FtOFFMvlulGSje8dafNOlKYteE0I0eaTS9pg8lU1ULgDBOjZslvRNHvTnZRf+0q49Xu9T8rlyd7wnb7X7Df/TpByBPVAxyrZzXtbore66uHFKg/MlXlgrszusTS7Jky2nlsfXKYaRI32M551yLgW8yWfU7NFVhfKuBNZDpcjHnveNm450h1IfnihwuWjacYzLoeXazz98ANrlr0TAjOHcy1BLVh7Pb9cDakHZS6azjVsWEL+boUtLWxpAhoDpYiUsQUJYbjsK3KubKiWr1fCVvufkNxPFGuMZRwqfoRtwZ2niuwfS5O27XV9ANMFb5179sdD82XStsVfvet9TM3s5t1//Rc9j/tMtcwb8yMburb84jcZqYeU6yEXbytAix0LQhWvSWHEc1hw/Ea9FzwbxzI2bbESsGcsb0iOSjG3WkdDI/tX2pGbXnqkHYnWIIVRHa74yhB3QxWPt0b9u5WsmAT9OJYJAGiLUYhtUKQhYS+3Nof5ss9yxeeSmYLxDbSMI71QSNmMZmyqgWKxHDT8CbYlCaOIY8t1xjI2V+0ZZ7USUPYVodINkrQhLndfXSndaKetQUxhBDsLKe6aLZJ1LfKeUTxdrYUsVAOmsi6VIMKSAs+SrNQC9o5lsIVg5uXPxVluZvzSgPjWN1m+8iKQkpnPf51DWHDyJLtf+xIsZfpmHhBv+BVyv/BLDdsXRjHBWpqAs0tnCjjC2FKFwJKa2bLPQjlgIutQCyNsacUK7+aZLSHJulYb8Xw84zCebu8r6Xj+EmlwpcXuEWPLinZAyW+uzbSG5VrIY3flkY5EbXCQt1KSWhBx/1yFp/3hL+GEa/ucExs6cuctvPTFZUTG4cBkGj/U3H6yxFycpePwco3DyzXOnUjzzHMmAInT8k5V7EtpZk9szozDCE6V69x42ARFzmdmeMMn7uLWd/8W3/zcv7WXRwj+7T++wbkXX049VBxZrJH3LCp+aN5XnwVn67dVP2Sx7Md9TDfa5nyx3iAXr1QC0q4NaOqBYq5YJ4g0+yYzDTu4XPFJO5aZA2ACUaQUjXlYK4l/LfiB6hnQOAgG9aVpDeeOZykHERqNLSSuJbnt5AoLZZ+JrGfmFPrMrdmHGGKIIYYYYoghhhgMQ4LwEEMMMcQPGCwBSoDSgm2FNM+5yOO7h5eYK2+S6Dcz01ARXm+NnvgSjn3yK5u7VwcKqc0pREaKLuWcQdF6xvxHP7bxm/s+d+7ew6VHDvc/JFZW2KwDZqvhWr1TK24Gq3fczHgfcnArBGArOPnUS5j52ve35N4/CNg9kuYVl8/wmfvmmSufnkLejrzL52891raxtrc0WMrJVtz9hKu56DvfbvuuXAsbih9nGxLHrh3nyDWpVdcnaCQI9NnEzN8c9ox6HF7enOr0UtVsqPQi7PRCPYi2jEC5Fci4VleqzM1iUELiWsecrglPNva3YihIrnMWDCt9MZFzyfRIi7qVkFK0bPz0h3OaY1/KbioOAVy0s0AFAbFK6DMOTGARNRSd5hfL3HKvCcrQwEMnVjk6V+aFT95HqDS+imLym2FYtLaL1vnMUiXou+E+yNzHsyVZzyLlWLi2PGPKmRvF2dxufziw9nveN5ZppKZtRbKXbkmjNrWRPlMuleBZ10Ktg/DruvCFb5DN5QAzhms0J1ZrLFTPjHqwuc9gbX38f/wque9+q41Iufjq11F61Wv7Xne92MTk972jGRBQD83YOluqs388GysPP3q94OBCmUu2FdZ9jgQlP6IaRG1qc4/bmedT9yz0PymBv7n5Zb+1aOt3b3/bq3nTr3yAqZxLPTSkQdVCzn3hxdvQQPkbX4NffX1ThfKiy8h+8P9tuEynk9QiajnZtQUTWY+Ua1H1w67UwKu+Tz1UjMfZE/TfvZ/iH/8P8v/xmZ4ZEVqLNff3H0HvPcD4i34Uu7ja9lvkpTn6wU9B3Bc78TuveTFTF9lc+dNTSFsgLUErjXxkp8cVr5hk+5VZbnnfLG//8//Jm/7b/2j8LoQZcwRQiQkPWdcoqw2iONarzzq2UdI3XLeYdIgZk+crzbZ12cwIYTweXjEzYtQJP/NleO7T17xnAzfcNNhxHTjd7E1rYa3mlrJN+vV6aNLGBwqCWBFxI0g5iYqsCUwKlV5jPiXa+leCRJ3RBEX3PtOkLF+7cHfdfivvecdfkS8UeP2v/w4zMzOxyl8LaVMK/BYSpyEP96LGt3xX3VwQSt31cHyz/vJTaXZ+53uDZaAINjmulcuQzQJwbLXG3tEMdjxWtNZBpDX1DmXuRPk1iI+1hKmrSgfB3Y2VbbVuzjUdCZZlMljkUja2JfBjMlXatVmq1LClwLEERT/k/TefwLMkr33CLgrxdbXW6/ZvP1pfeTBSJqCgQbvWxn+W/4cP4ViCxTu/D+94G6yskPqZn8N6xrPXrdZA0TMFPBi17TBKiLHm3sma2RCo20/SWpPxrMac/chSlSNL7e0rOWOxHDCecbhgPMW/3XAQz5Y8fTzbOObCmRyWFIZAvGraWcWPcCPFoROrLJTrmw47y7o2S+vMryYyDvVQcd98iXPGsw2ivRTCqFbG/pZEWVhIQ+RyYyXZVtXXWqgHmtNYEnrxloM4ECXjmkDOqaxLah1ysCUFEzmXSGsy+QKV4uq69++EycCn8aOIH/m5X2f6ul/gc//8z3z3w29BRwFCSvY+/sd40a/8CeLXXjCQurgGlJSMeC5jGdcotnY1ecFk3uWuU0WOLdfIuJKJjINCs9SR1evOk0VsKQjCpMymL0bKkAhXqwE5z44VQbtLt1jqPQfTumm7E1eLLc26MhnWOvtrLdB48Xq4c/2pocvJkYmlQfePZ7CEaZdGMHvtWpRAIWNjWRY5yyLr2dSCiJVKQBApji+HpB0z19DaBB61K19r7p0vMZ5xKfsRe0cyWBJsKdvWPqKlwFprykFExrVYroUs10JStmRnwaMURASRouxHTGacxl7L/fNl9lx3NU7jej2gFOKZT2ZPy++t7Ui/420U3/E2nF98A+4vvZG0I1msmutHGmbLdVKWxeGVKllXslozQQiebfrKvfNlLp8x83mBIGVr/B6k1cVKwIjntAWqBZGiFkbN8sS8bTOmdvZngSMEY/tTzN1VWfP9deKcq57JGz98K5fuLJC6/56BzknezFP++PUc/dy3EWhGRhzG0hYrdUM2Lsfve7bks1L3mcqkCHqM0VGPeYtG89E7TgEwmXE4bzLDkeUav/r+D+PYomdwWBLsFinNcjVEYuZQ/eaBRolfg4DVaogfanyM+EU1trEJOTjlSKYLHn4YsVjy2/pdxQ/Jeg6gqfsRS+WA3eNpbMu8w5PLtYZvPOUYdr/W5v6dS/0kuMPYdT2IOH/7+VZT9H4Q+JGm4NltSvznT2a5+cgyz7pwmkRF2B2qCA8xxBBDDDHEEEM8qhgShIcYYoghfsAghHHqR9o4cC0pecLecb56cK5NhWQjOHL9t9lz3dXNe3T83upeOfQnb9/UPXqhVA8Z8WxsBiewlEsl+LdPYj90P+HLfwa+8y34i7e0H3TJZWQ/0HsTuPUuJ3/91zdZcjj8R3/M9G/9dt/fIzWYCtEjgS6Vm9NA9ZdeTZbBhCsEkCs/+s//SCPvObzk4m187dASd62T8rgfrt49wru+eH/bxtbMsXuBjYuGRCdOdH0XKv2IqQVuFmGcbllj1EkSp/h6mCtvjlh7tmDXiFH62D+e5qsPLm/4/G8dWuac8QyP3TWI6o3m5PLZpbac2UJv8SNBxfrhVEXdPNKPiLdfYFkCOvbBO7OsJpueG4UlDEEp2XRcLtXYbinmjy+zZ8cI45N55qshXzy4wL6xFLWlEqsln5pl8eU7TjDfot5z8wMLvOhp53IoVkzNOBYXT+eB/inK1xqzezx2F+phorAYIAXkU7ZJM+pYOPajpy487CuPLoy6X/8ZhNjA7KL8up+Fm/qr9+H7cO1VlM+9gPzH/oW7ZlcfkYC59ZYShbe9hbHP/mvz+JbfJj7wbiY+8G4O/cW74dIrN10GFe+xO9LCcS1y44ZG8GiSg8GsG28/ucqBiQyetb4b8OhqnZ2jHgXXaqizFQddZ7prq/j2w3otMPn9T979ev5l/0f4zikzxz4QqzkC1N77bkMm68Tdd1B+7EWQyZL9+ncHLtMgarG9CJqjKZtMnNbasSTTeQ87tr+VHvW4VAm61/G/8fss/sbvs/0Vz8FdWuyyn/7MLk687+PmQxCR+/I3u1SiT5WrsEbAYj28nce8ZhrL7T822J5k+qI0l/3kBO/6qz/jzb/1uwSRITpYLWnDEyTlrAaKdJKuvAOeLRnLOniO1TU2WH06ci1UFDyXK2ZcEO0k0qR/ZWdmCL75XfwnP77v8wBww02NAAZoki0HWbdLIYgehdEsIcUqbeY3aYc29dNBEUUay2rOcdbqd84a6s+tKtGtsCUcXalS9EMOTOQQwpDyLCHitN+Cp1xxAcePH2k776P/9A8APP5J1/CPH/+cuYe9dqBX33mFtHox9NaEAFJfuwk/MuTIEde0zYECvi+8GG7uPybeFfjcWK9RVIpRKbk2lWaf7TTIwWCCMr4/WwTgiu1N8ruOU8Ov1H3StoUURlXbsyzm77oXfv5VUK2A6yJ+70/IdKhi+1GTBJu8y4RcnrIFc0Wf8ayDF9unhCwbKkMAnS8HFOsRRUzQiNYajcZvUUSEZO4sQJvzdcv/M64kjBICsG4QllX8XxRnD+p81/VQM3n5pVTf/m4cC3aOpRFCUPMj5ot1ImAq55Jx7UZD1hpOJfNwYXwIaNOWpRQEHcRWPzKMZNtqtykJNJqnXzzNUy6Y5NRyjXtOFLnj2GrfbCmLlYClss9zrtrDF793lHr8SKHS3HOy1DhuJG2zayyNUoq7j68yF5M6ByGk9kLakSxVzToj60pGUg5pxyaKSWmWaAYpORbUI4VsaPa3P4sjzToIbci9vchwjmXK2a97Jn1T9OilQkjOHTdZ5BJC+57RdEMFtBO2NGTQ0ayLFIJvPTzPOz93Cz/75AMD1o7Br/72HzT+di3BPXNlLt+Z55JfeS1feOKP8rFvPMwrf+xC7KxL3bL58G+/m1e85XV930lraMLJz93IqARJt83MODIO3pY4QrA97zGecXlwsdzXf3//fInzJvLY0thATwhSseL1QilgoRRQSNlM5N220tX8kNVaO+E4yabT6kdLxpPOdlztoTJqCU2k+5D9O16Za8kGeRXaiYWOJZCx4mknFHB0scZ41mEkYzJJpV0bz5GsVkzwezVWSl2shMZe24K0IygHIXfPmr4VRIrVWsgdtVXG0jY78hm0VkQk9spq1JevoobibiFlUaxF1EKFLSX7RtPMlutIAfOV5hxq1/OeSm9adjfWW3EHf/sOvGoJ/f/9NjnX5vKZgrGxwJGVium7wGTWZaniU0hZKA3FeoTAPHuoFAqB1pqRlM10zhCky3G7suJAj8Tu3jtf5rP3DRDo14JXvPmDvP21Lx74eDstufCZv0/Olfif+tf1T2iBACSavCuRQmBJM+falnXYPzZOsR415p9zZZ9tOY9ImbdhSUOuTtsShI0l24M7v/jAAldsz3HJdLahrPy4HSNmrPNNkI1tGdV9KWgEyYRKN3zyXofqPED5c5+G//5m8zdwHODSK8j+40e6nk9pmBnxGv4yk5Gy23ed2M3lSkAlMFk0zFpMMLfqt5GAO/tTKibSg+meQaTMfNyRm5ozWkIQbnDOGypN3rOoBkbl27MsQLNaDSik3cbYP1QRHmKIIYYYYoghhnj0IPTpSGJsEI9//OP1d787uDN+iCGGGGKItaG0UeYAQGvumS1ycL6E7rHNr9FNR4EWCBGnLGwZBnY+/ynYYe+0uAo4/NEvIPL5rX0I4KKp/LqqX+V3vB3e886NXfgp15J9+7vbvtpW8Brqhnfu3rOx63XgwAMPcWJlbXJd2pEE0eZSb24VmaY1lRqYzbbEQZxxrd6tRSd/EW8EmQ+LV1y4oU0LDSxespdzP/S5wc/Z8EN3qx2Yb/tfqNc9Wh1pjc+9ZB/o/50QgoVY3Uorxf2LVb5zZHVD7/G8yQy/+MQ9vP2L9/MvtzbJvW/6yB9w3qkHNrVp1K54rTm8UBlYRe5MoN8m3JrnSLOpsF4qy/sXSmdU3euRggCWaiHfO15a99hO7BtL8can7F/3OKUVh+bPTKr3XhhETc61BNtGUlumIgxbS0xsbnj+YJMdtdY8PL8xNZh+mMg6WJbEs+WWvLdB6vbQXLktyGErAnI8W8QBCZ1311RqIRnPpuaH3HN0mZP1kIdKIScfmuNLtxzh+dce4O75KgcmM3zmq/e1jTHv+81nECTkJddi32iWtbCWSnC7WtLGkXJMCtORjPuIk4VPq89o3TEobz0WS/VGCt9BUYsiHljYXCDQVmM87bA9n970+f3sc2vfKv/938Lf/NWGrls77wJO/vU/dn3/5U0EwKyHyazDZdt696/RP/s9Rr5i5qL9WlHSPjtJwntG0+TdzWU9GRTVMORkcWsCdnr1s9ZntkRTMXGuHPD1Qyt9rzUIOe7C6QylWoQWNIgTT/v552DXqgP32EFJUUlRPvTOz+PHhrbgWazWI57wT2/lkm8Ott7I3nJ313dKa5RWrNRDyn7UII3qWA1sNOXiWt1BMPfMFYm0ZjLrMpZ2sIUhNoymbQoZtyujw2o1YKFD4e/Qcn+iUC/0Ume9YDLbRRBeqNY5WWwnH2Rdi7QjuenrX+Ffb38T4/tTA90zChRf/uOj3HW/ITHWQ9VHoVOitG6MYxlXdqmaZlzJaMbFc7oV9UHz0Nzm5iet9dKlcJ5Ow+duaCMGN8ozQFaCBIPMZTeLfuP/6dyz37luTPxPCIRCGAJl5xwj7Zi5Qmca675jhiNYrYecKtUp1kN2j6bJtiiDXryjt5p1KyzL4q6jKw2yTj/0U4kt/8WfwYfev+59OjF++z0979c5xzSp7Dvu+diLus67qV7jf68ucTKKCNBEGJUWCxiVFquZLP/49XvIuRbnjGcbys5JG1Zac3ilQhAplNIcmMxx/3yJ1D//ExN//9f9iWpPuJrsu97X/gwdxKaUI/BD3VZ/EpjIOdwzW8aK090/vFTl5uOrECuIhpHmpZdOM51t2o1Bg3hbITD1mJzWrz1Z0kwBM67FVKHVVhmlRinb57JKKQ4tVJv3sMCR5tqeLZBC9EzJPpFzcC3ZRdYKleLe+fa1eBgp5lfrHJwtc+exVUr19rnjFbsK3HZ0lat2F1jxIzKuzUol4KGFdrvm2pLdoyku2z9BpBSVWshzfu2leOXihsZODeS/d5ch4avecwCtNYFSpByJUoNdXQrzXrRuEr6VFm323ZZgWybVvVZGdTiKNEqbbEZ+NJjKeaKQ3gpLNIN07Fg9+NbjyyxWAnKuxXMu3b6hQIC7jpdiUnOEJQSLtYBTxXpDQfVjX7qf7dtHCVMu506keWChymhU48VvfGHjGp2PEnkpjv7rV+O6EFw8nUepeO4Q+1T9UJtxMFBtdSEl3HGytwryVNZlKuOtK6KRT1lM5j1AECnF4YV2v07nXMGNx5jW52hdW4pYMVtps6MQad32DlO2oBbbyE7761imbfRyw9lSxHOs/s9SjyKOLFd54r5x8p2ZBrXmyGLFBBRozUrNKAvvGU3z0FKFhZjEm46fZSLjIKRAK3Ns3nNYrBpS9a58GqU19y6UGE875D2HjB3PRaQm59goTD9frYfc8PASl24zhPb8tY/d8pVo/Ru3UqyH7Cyk8GyLKFZAR8BDi2UqQYTXEqx2wVQOWzTtXmLbk3edBHGUg4ic067Kfe98if84uLjhMn78957AqTsH80le/LyriPb+FpfvG+GX//oNZPzB1wJg+tih67/NRMbBsQQlX1GuB2gEY2mbpapRk047FqMph7Rt9nYirbhnrr2M+8cy5FwbpTUPLJaphYqRlM2uQqbHnZvjUOvaxxKaUJtxyHNkQ7E4XJyj/sxr136Yq59I9p3/0NZvsq7FRN4zBOZIMV+qd82RTQBeU319Ou+SjftEpR42FOgHRb+ArkHg2WvPwzphxmoPKQxxveLHSuBKcWylypPPmSChQLvW+sG9QwwxxBBDDDHEEENsHkKIm7XWPRUUhgrCQwwxxBA/wJDCLKqDCLQQnDuZ4zP3zHOsh8MgcXKuibd/GoCLPv5eLv/qv2BFIYcuuJJvvOlPze9zEfvCGjsKHjceXuly9opkcwlAdG9YiPigRI0FDPH420dW+bnH7cLu4xxYfea1sDC3dtl74es3UP6FV5N/zwcaX80V61A8fYVRDdx8dIkd65AxqoHqvXnTUj+9NsWVXn+Dv7Usa6EemI0/s/kHt58s8oXYMfhLT9zNeVP9N+paN1k2C/fhIwOrONajiINnCdlmK5BxJNfuH+W7x4oNJYdO7PrW53nGB/6y8VkKQfmfPsATz7mEz98121Aas9TGiEv9Ich7NssbJEJtJTbjB0w2N3ptIEGsXGRJog0qRp2NcC2BLSUpx+J7bJwgPKgLd6l05lK9bxZ+pCnVQkazm1MgPNPYDDlYa6NWZUlBpR6iNBTSZ5Zsth4GVe1fD7YU5NPOll1vIOgeCuhbwNauhzomwnQHnWTiTZmU53DluVMAfOn2o3z8juP82BP2cl88Th6cr/CMx+3hC99tBmW0Xu10lVJOt5ZrgaIGlOpV8mmbkZQDwhCEEpU6pc1GcBIcpLQ2hIMB6t2SIp4Lxm1Mm7+1Nr/ZlojnjrqFcLD2swaRZqkSMJaxGc16p1kDP7w43S4YxCml+72TzZCDNeDdf+/pFWwDWKsK1iMHJ79pYO+bX8eh67+9hSVbH0ozMEFxq++7FgaZvgeR5mjH2vOWH381T/j43w5UhkHJwdB8R9tv+BSHnvrjgJk3Uy5z8YDkYIDytVchvvgtEJB17DgGQXPvfPsapB41iW9T2d5E2pm8R96zsUQ7UU0IE9gWhCpWMtMsluuxAiybCh5N0Ct9ci+MpBxsKZgv+4ZoUY8a6nLX/93rGXnp2gErndhzTYFPfPyjPOcFL+17TD00RLwEvdpYxVdEymf7SMqQeNp+FRsi7LbCzLUMeTOby8E3b2n8lpA8k/VCQnjTcQN0jMCZWYNrI4T6COppmNL0uV+/wCAB7J3MtNVf6zU0miCMqK50p5xvJYtESSRwpLsCkRJSUmd2hX6oh0Ytbkc+TckLyNpWHGisuGRnYc1zG+WJIq44d5pbDs4OdHwnsm/+LcobJQi7bv/g2U6fF4LxbPt2SlnKNrLiF6pl/mBliXrHyWH83ykVQWmVVzxhH3ceXmy5tyZSilBrSr4JVsg6FgemcoRKc95bf4/a5z63pqqp+M63KT/jGrJf/EZc3h5q07q7byrg1Gqdo6s17jhVavgKnrC7QNZp2re5ss982UcIY38vnMr1KU1/pDoIwapP40/qJQnwb8IQ2ruOb7mOxiiYhvFF6qHGscz3jmUIp0ppVqohhbRDECo8RzJT8DiyUEXR29balmRmLM30aBrtOUxnbJZLPhnP5vhimUOLZk1wZKXOyT5ErrRj8bPX7CGbspirRNw9W0Zp+PCff4zXvOHZvSutDxZe+0bGWhSC2+tDsVoPOFXycS3B+ZM5rDUCEYGm4nSkKPuqg7zd0Z6VsZ29gjRdW6BjYpmAuL2YK3T2tVo8bqh4ceBY5p6taernivWGKmsliPiXW4/yost3DFJFfPWOB7Gl4MhKhdV6wFjaxbMFGdeKVW0jtp8zTSHtcOl0hiOrxmamRgrkbrmbbQWHh5/xDPyjR9HCon711Sz/wV+21aPWsVqz1a587lqCsm+yYfmhIad7tiRU/TNkRVqTdS1GMkZpX8eBklrDUtknCBVBpKkHiko9xLGk8XN3oFMFXgrRJaJgfNWahapPqDQTuEhE77W9aK4UPLs96MC2BFW/d7tKxmZvjaAPKQT1SPG1B+e5Zv8EniUp1SOCyBDEs56FHyhqEYylXZKY5F2FNGnH5shyhe8dL/HUfaNGNbUeUkg55DybxWpA1rVYrYUsOnWWqiGjKYfpbComjStW6gFX7hzFtSV+EFGOlXovnMpRCxVjL31Wz3KfLrwXXUfus1/gwcUKWmvOn8ojhFG/TQKxIqXjckR4lmz0HykgjFXvEzVoIQQCwXTW6rL7ExmH8yczPLBQ4Un7Rvn6Q8vrlk8Ar/3ft/Ce37iCubvX2BcQcP6Pnseux/9xHGBiYenNTXS/dddxnnnlbsq+5rP3LTKSstmedzmyUuexO3LMlQOqgSLjWKTjocFpCRYRwGjaYbUeMFeuUwsjQmXm3ttyHp5tAtvL9RDXlqZvKRMQ4lpNER6tNUv1gCMrNTxbkrKl2f8JauuTgwG+fSPln3sl4n0fanxV9iOqixVcWxJEGscSXWsCpUG1bB24LUHd4SZ83VICm0s2uuF5cNa1GuI/Qgiynk3GtTi1UmN7PsVi2Wc865lxQNN3D3CIIf5/9t473rKsLPP/rrXzSTffylVdnTPQQANNUskZJUhQEVBHwTBjdnRwxh+jjqOOiDojhjErAqOg5JxpaFLTgc5VXbnqxnNP3GGt3x9r75PPveeGKrrhPJ9P961zzt5rr73yetfzPu8YY4wxxhhjjHF+MSYIjzHGGGM8zJGRhJuJMaQ+/tAk7/rGmb7r7lusc+lMjiPLtQ0PJO98yeu58yWvH/jbVGDjWYJH7S3y5RNrXb9pbf63vu1hsIVBKUUi+9Xsqj/48q2RgzN8+ZYND7+3jEoFRlBrG/j4HmLMqFncyquk1dIqB7vjMOVLx1fXJQjvBDalGHChT2IvAKSAG/cXuHuhwYlykxv+6Y+5+GufQUchxXo3+VMAaM3RV/8ABeB7fuGtfC4/x6tuPMjh0o/A//dfdiRP7gVWjuyFYLjq00bIyMFS0AqHCib8ZSPuVwR6qMKW5uClmSiqzYTVRsxyPWa5Hm05FHvgSGbzLvOF4SS693/zLMu1yBD/lKLVQ9Pznumcw9XneUzYCAX/ob1F2Ur1nCs3acYK1xLMrFM/w7At9dXzCN+RF5QcPEgdyXy//dLxRwgl34nvvnYfH7p3iQfWuok32nc5uKvIg2fMGum1/+Ojrd/+8CeeyP5SgBRbG4M3q9A2DBoo12MqjRgh+g/qH4pYrsUUfGdH1cU78VDsXxcScaJbc2pXO8sKZpPkYOggc/7wSzj1V+/adh63ij2v+d5WfjZClmfxiQ+jv+sZ5zNbDwnY2/VaGII7nvYSrv/gP+FXyuuW+1b73SM//p4WQVgBr/rVV458rwaoVDiybNQcr5wrIIXY8OzcseTA6BdTvjvwPepRQlLVlOsxuTRccqdK2HYUvUaFLSQzOROeeq3Z/YZTl9jUNjH2W45k17UB99x1J89Z57rAlTRGUPRvxgqFUVPtRT4NpQ20wh11RbxJO2q2/OjcPjYjZZxioeWwAkapzU1DnKtUFTFDbz0MqpssvfUi1JwPWNIouw5anmTOOF19rOdDLDY3wTciNTBaQaKNinRGFsxCVocpgUlK8FLitVIax5JYAu5NVfvu/OoXN5eP2sYq0uvuJXfvhdMnR3/gRz47kGAZOIMJfBO5bkdG+47beeBKoyJ8JI74bwPIwYMQhyH/8cdew+//nzahWQH3LlaZzTlcOVfAkYb8OXniXk58cH1nl9Z+YXmJyk//BPb/+iN8W6KV2f8bhzDQCAznVqCUIlKmX9xyao0vPrjCEy+a4Fw14u6FOou1iPxE996lbV8yTpBOGuln2DK1cx/jDSSaD9/pTASGYDQK4g2UDpNEEziCUuAQuGa/mSkz2pZk76SPUprZksvZcrhuVKLTFUOoPFmJAEGtmXDFvgksKTixVOfsEFGC6bzDCx65h0LqLDqfl8wfnuRrpyos12NiaWGrZMM1i07/q778BwaOS80k5shynVgZB8iLJnPEiVHEzLmm7/bWly0NObhzP7SRQ0o9Ui1nwE6ojv7Ua4/0U4KsY0l0h9qwQBAqo3bcC6PMb1RFI6VZqEa842sn+aEnXUm9MliJV1oW//fTd1GVeU6Ua0gJk4FLI07QyFa0gMC1ePE1cyzUQgSCQ5MehyY9Lp/Jo4FKM0G+899YXmuyFiq+8GCZ+N5lnn/VLHGiuWQm33Iu6SwvKWiRiJtx5qAiWvasXQWP0+UG1+6doJgS6URamJ3q2Nk4rwUUA4dP37fARdM5XC05k5KZHcsIdWTtAvr3x0rrrroKHOO8VIsTTqXt9Vw1ZDrnsKcwwM7d8W5RJ4HREkTx4HbQeavWkHcl1Z41QuAIFssRljB1cXq1Tt61saVZd0kBlbq5J3P2iRNwUtXc+bzLWjPi8QddLpvNt9TObz9bJlKaSd+mGhqHh9NrISXfjCc//oMv5zMfe39fXh/x6Bv523/7CDaSiyYDvrmwhr2yOPjFtotzp3GlxUXTOe5ZqHLHWWM/KHpWKwLRpO9gCUnekV179pPlOrN5l8CxsXv67SC3T8+W7Cs5vPaxl+PakhdcvYv33HaGzx5dGZq9Jx+exBLwJ/94H//01/+ZD7/j7ymfiFpJCxtmLgl48uveyiOufRJ/8A+3cP2hKfbvm6QyPYd35vimi2RqqsSp1SZzBYf9JZdTqajB4Smfc9WI2bzDQjXiRLmBPy3xLOPoNxU4WFJQbkQs19tCCAXXMvOcNuPVVABTeYe1Rtxn+/EdwVK1QbkRYwkTEQEy5zeJZwtWHn3D6C/z9a8SN+tYbrs/Kd12/EqUUX/up+4bFH27I+qTZnELAg/b2eltdsU7aB2lNMyXfKQU1MOYRpTgOxaxMs5nYxXhMcYYY4wxxhhjjAuPh/bp+xhjjDHGGCNBiHYI2ENTg8MlAdy7WOPwdMCRpfqWjrZcS2AJgWdLvj6Ct/lmMNTufPs3tp129cmPIf/pW/p/+I3fgjf9ypbTnTjxAOyZ20bOvjXwOsg1t55a4/uuNQaaQdiJI9DmrtmRrlsLI1YbDz1F052B4Hte+0ysqF/BaT172LP/50/xw+/5N2YftR8e/Rpu2wJB+PCnPtn33SDD3YVEmBgFH6FGU6cbBKUZSOZ7uJC8YqWpRQk3Hxt8oLUVXDVf4NU37Fv3ms8dWV5XlW1XweWKmXxfSOwLhaJvnTcC4E5gK0RdkYbYCxzJbNF7SL/fZhEminoY4zvW+ScKa83xpcHKNdsZ0jzbHLoOUiZfNzsCzqz1j+nHVxrk5iZ40dV7aNZDPvCFIwBcdWCSb55Y4cCuIkfPmpChUsCjD04RuLZRQtPrzwlKt8lXOzHWqc5T5IcBTq7UOTiTY/tayv3IHFc2e89DBjtQjxkJyknX+43YRMGo/uxPbytd9/TmD4e3gmF7CffMJkhiKQ789q/x4AUlCH9rOuLlczkum81zotwwuejIhhBmvfax+7rDEV82m8MIbpnj7IJr484bWkonVfHWt/0rj/rx78Mpr5j0OtLQHX+30o8aSlE+vYLWGmciwA1Hjw6TzeMzv/ozLP73t7RCEk8G/ebRome1+sXZSoPpoN/BZ1jNNSLVIgD0hg+GblJqwbPwOhQ6M/LrQrV7X5SVldD9z63FCa5lCDOZmrEUcLLcoDpg3Vcq2NQ3WfiWK3nd6//j0N9dSwxUkhyELLrNINiWpBH37gn7S9qS4FoDnHt07y0a35aIAeTgQRj0a0ZwS5Qh2RjecXeb70Pmg5c29EyteKj3sBDYSnTkwfzfsyVWkhE72+HeR6q+rThjRr2qoQaO1e1Akmjd2sclCmpdpD7zshdP5QHNy173vZvOx5OuO8xnvvEAYNpK3rNpRSBI+0ilOZjan3/fR6k+9lpIRpDNe/mrjOJ0D9weJdD1kM/nOfzlW3jg0Y/hb6trRJso+A+8511dBGErVeXNORZhbKI7SAEnXvjCkdJrNbHPfIL70shMJc9md9HDkcbmEyUqXTubfCql+PiRZe48W2Vpqcona01efuMB9hZdZvIOSmc2R9E3LoFZT2aqqBlsaRRhT1caSCGYzXktImFv6QxzEp8tuBQ3EXVlkKpwVz4xasqDfPyzfYyUgrwnUDQoN4fYpjTcda5NYpcCDk0GPLBcxwo8Ltrncp0tOLfS4K4zFcKOfrNvMmCm2D+XPGJ3gbPViM/8/cd4yiuf2lLL7X2jzpJ68J0f5cr5Qp+jX6gS7luqtcaK/RNt58REG8VfTeroSUb0TtWAe50DEt0ikwMDFWBt2a9KPEyl2DhgmPYXKzPWVEPVai9ASwm+E7HSeJbNRMnlG6dXAZjwbf7mM98E4Hd//sf4+uc+jlKKSy+/knd+4NNYEu5ZqKK0ph4r5vMuK42YtWZCpZm0+kotTGhGRjG24Fo4lmS5HrVUgd9/9wIHJjxcy+ILD66Qcy2+/7p9ONKof2aKo7Gma+z0OpxPLWlUTjWaom+Rd20OOQHX75ugr5YzBc6Or9oEe4s9Ez7fPFthJnDYnTbmrLw7nx+mhHgQhLFxpo+Voh4nhLFiJucihSRKFCXP7OWzfn5yrc5c3msps0pM33AtU9+ZPSlzolDanEnYtkCK9tjpWqZebcs4BoSpUn2cKCwpkcK0uV15l2t2T+BYpj1WmzGNSOGkoQcDVyLTdhA4Js8ZLAkXz+SxpWQ671FpxtTDmNmcy2ozxraMkmkYawJXcnZplVc87tKB7RPg61/+ItfvLfHvn/oaV1xxGVfMFqmwpel0ZNR6os11Rp87Ww1xLEnBtQjSqBcPrlZZrsfM5l0mcylxfq3ZUoePEtW33NDpvLxYaZJzbRKlmc3b7Cl6LYJ4LxKlsdI6eMVrfpNXvOY30S2iuebB1Yj7U/vM0kKFm66YZ3Ymj3Ad7viDv+fJr3zqyGWQ5XW50uAzd51jtR7xosfsI+9I7l+qs6doHHMWqhElz6LcTDiyXGdPyafciFhtDI6QVwkTrpwrUA0TJnMOcyUfrWHXhMfp1d73Fpxda3bZqG0BV8wVEQhqZzcvXtP47icx/6WvkmjjONG7Bo2VHhglz5GC2aJLNhIk59mpcBAGje3rYbUeMZHrji7WaVf2HItz5SZeyYgMjFWExxhjjDHGGGOMMb41GBOExxhjjDG+TSBTgvBs3uXApM+xlcbA6x5IDSunBpBaNsLjD5SwpKAZK/ZNeBxdGf0wdiuo/uHv7lBC1YFf55//YqrbIAjbj3r0lu/9VsLvUF2NEs2tp8rceHBqwJWahR5DYd2DoLm5w/yD7+wnqA5C0XXIORaVsLojapAPGVQqHHrp01ofN2v/Ov3CFzB7zISrFxMl9OrmCKX5w4f7vhukgLYd2BIKno3vWkSJGknZIErAkaTh7Xc0Ow8bzOVHP/AcBRspcJ9YbWxIDpcC6nFCwb3w24SpvMNkjyLXQw1b6TlxYg7DSDTHlurkXIvpvIslB4fHvVAYlexsSzG03YSx5vRqk+m806emtlNIlCJONCeHrGvAhEYdRGbZCIMOY3YCGrhnocZzHrWPSy6ZZ/nkMn7JJzdd4P13nuNz3zxLlBjFmEcemORPbj4GwE0HJ3nCwYl1066HaRheZQ7zbcsQ0M/DazzkkChYroRMbUGFeyN0Kptt5p6HCnYyK1GiiTAH+AjgEx/ecloXUv18veeMzx4HQyDwbYtLp/NDr7lmvps4d3Sl2qdGW3DbhNR2P3I4+c8fJP+hf2Pqz/4Qa629fo0sh0888pm857rn8Na/+slN5/vD1zyL06dXueW+RXZNBryazddx7qtfpFMPblD/71S5PLXWZL7gEXe8+lajYfSi0kyohBsTGdd7VLb3v2Qmj5X6fSZa04gTil6/I+iUtDi92YwqTWEAkRLY9Bw82UMg6IQzgiOVZ5tQ5fURwi3b0hBjGtGIlbXO4G6IEt2Um1EwWvn0pxU4kpmiP9IzBsF3LQ7PdTqQt2n5zSjh3FrYJp6LNAR9SmLxbdFSYAaQQqO61q2anCPRgqHEcFPH68hKroOlNIpUzrUoBXZL8TWDUopYNein0hkEX7uDhWc8FU4Pb+n+m/4bhZe9wqSnNVIKCp5NtRGDMMSWXlXMYUv3/Pw8X//NN/Oe171mM6/ZB5mWWTPWeLYgjHUrytCoyObeQ89+XOu7BrD2G/+DwnOfh41oKZQ244QP3LvYGkMakeLwrMtyPaLk20ghWKqZvf3sgL1rVhz1VH1aAGGsuO3MahfJqh4l7C/5iAFRNHrfTGIiyvjO8LFApyRCz7ZaCotCjDYu59fd52oSpQkci7UOwplnSywpqIUJlZ5F9xVzeR5cqRsF1JTwuhqDW/B54f4SSZi0nAzynsVUYLPWTDg0lUsJWIooMaS7j99f5ciffJCX/MqrKK4uDhxhlGVx7L2fo+hZJInCtmWreSRKcd9itau52D1jrS1pOaxGiWKu6OM5kjBOqPfYeI3irRn3Up5gi8CbtbNeElmm8tqLbNwGU8dOSqC1BNgWJEqgEo0lBEmf+qm5txEpLp8tYkmjfltplkk0/Pzvvg0p4Jr5Uqv+EwUXT+dTdWuNFIa8ulyPWvbzDFlbLzfj1nx8Yq2B1m3ybcGz+JHH7CNr9UqDJbvZzI1IkXONWrdtCSZtG6VNOdqWcVQJXIuNVi3rrZ8zW95svn/v3YwVv/17b+QrR96LdCCpC37htX/KU256FqerDc5W2ucAZ6shl83mWWvGaI3525HWcj1i/4TPjO8ipRmLYqVRqeNznKgetWlI0rbiO5KFWpO8tvFt0bWeMk4o7e9yKcn49GqjpWDfbivtHPk930mpCVXC7cerWMLU4UK1yUXTOaQlWG3G7Cq4aA2rzZhaFFOLknXJwZ14/lMeyVfuO0MhP3yNvFNoxAnTOYcp30FKQSWMURrWGjFhojhRbjAVOOwuGIc8xzJj7b7JAA3ceqrMmQ7b/TXzRQLHajmYaCDr2sdW6szmPWwpWGvEXDHrM+FbfPNct3L/4emAQUNwe+0mOJ0+M+dI/uqjdxEnmidcu5snX76Le06VeVLrytEQ7t7PEy6b5dGHJilHim+caefJty0a6SLcjF8JsdIcW6ljS8F1u4o8sFyjEibMF1zOVUKEgN1Fj1NrdS6ayLN/MgBEK9JEJ7J12rW7S9x5do0w0RycDJj0HRJlyjB83hacR+s1ah3O3Z7d72zRaY9yLaPkroFGmLTGs0ozIuisEGHG0a6RtscRTWOucS1SlXPjdNQ35woTZSBKVI9tfnNrN6VNJA9/iOq/FMKQ2ROFa1s7socaY4wxxhhjjDHGGGPzGBOExxhjjDG+TZAZODxb8h8ef5D/8oG7h27lT62FzOQcSr7NA0PU+ABmcg5Fz+LAhG8O1jqszLN5l1AZ4tOE73Dv4sZhIDeNv/7LnU+zF3/yF/CG12/qlqwU4sdeS+vIwPPIf/5r28qKlRruHEu2Dp4yg6vAKHyYsHDmlEqk6m6bPW+zLdlF+Lrl+OoQgjBMF1ysWsRawxjinN/8Pfi5nxvpORqo+TD4GHkwLGHefQStn4cNDqbk4O2QU8785V+y63Wv45rbbuO2AwdHvu/alFjci5miS3mIwkInJgND+nUtcyCWvUScqPTwMlPqab+dkyQsMpoSdKTSA6p1CIibxsPIyFgNE551+TQfuntpR7JdCRPuXagSZYRUzIFlphD+qfsXN1RNOzQVfEvIwZ4tmdiEQtS3AlsluimlyXsWtWbSVimKG0gB+6eHq/534lvRrF3bqO1MBA4rtZCV2uAxYzJnUzofdac1J1cbNEcgHEXKhLfeDLZNDt6gUp736P2cWAt53IEJbnjEbmphwum1Op++p8b+qYCcYzE1lePvv36KbAz93IMrPHJvEbnBjNGMzaEzmINanR48x8mFDn5+4bFSjykGzkNEifuhU9rnIyeNSKFQW1Z5vdDYyEnmoYxRsy7Sw+DWh55Ezoe4VG/eNhthoPrMF1B95gt44GyFd325X805S36UVLNr/Re+gNkTyzz56nm+dv/SuvdsmNgAzOYd0PRFNjGkHIFtCY4sV9lb8pFsfyzaqNqy4W6zDnWG8DN4VzV7xfdjqX8eOa24qZg8OjgtSTeZeiNIwbqqoNYIEQnEJlZllpRdyrcb4bwQFrY4iG4/OkPv/e3PUvQrwwk0ttUdPj4r54y41Q1DJB4E3zZqmeEAxdFRsWfCEBcHlYMUooP0PfgZcx/5JLVQUX3zm+Dd/w+UAteDv30HM1ddTiNqE9wW6k201tx4aIblathyvOoldw8JvATAb//mm7f0nu9+xz/wope9auA7ajTltcqW0u0tNfdNv0TzTb/Ewie/TN618SzJv39zgdMdpMG9kz5Pv2KeB8pNir6NpE0MHtw32k/J2ofvir75KO9aA8nBYAhRSaLZM+UjROYkYPr4ieUaIiV0uSlJN1aaJNFUw4S5oottGSL3ieXhzoTrFkwLmttPllmqh0hhCGmxVi1F1JmcQ86RFCLNK6/fjZSC286sceupSmutlCjYP+GbvK82uXyuQNgzeK82EkMUtS0EAlda4MBU4HKmEnHH2Srv+q1/wJGCw+9/O9d//F+QccSxax7Dza/9ZZ575QxWlLDWTFhr1pgNHA5M5mjEigdWan31ZFsCz5ItFfJmrNHpHkJgSOK+a+HZFnNFl6VqSKLMWG3mfJOgmxKxldZorVsKuZ39I3AGk4N7xw/LMsITUtBSl80QJoaM7NoyVRUWxIlqpaG1mY9tq7udXTSV63r3zMaktGl/jUiRc4ydQwhwhCBKbxApcTi7fypwiBPFWpSwq2Czr+S3FLjBEL211tRC1UXa8xxJKXDScuttaKOtqHtnt97P1++dYCbvcv9ilcNTOZLE/P6Db7iBqRvq+ActLjrYtsK+8+jP8uefbnJV7vt45kt+tWtMW6qFRImi4NtESrf2xgKYCGyqYcxs4BrlX1sSK0NOHebworVGoXlguc5KPeKK2QKWZUFiyilTt41TwmXgyJYasZs6vYLZ6+ZcU99ZnWgMEVWnz6mGEXedM+29nigSHbNcj1lrxixUQ67ZVSSwLeqRInCMTfM5N1yyYfl34jGX7+XtXz7GrkfdiP/VL27q3lEROJKS55jxIJ3r5gOLWMNs4KG0ppkk5B0LpU27msv5zAQeUsD9i7UucjBAJTTKyZ1ObZkIx9lqyNlqe8wXQnDZbMBV8znCxBDAv3qywqFJr9VaS74NWrPaiKmEpi9+8Vi5ZVv0koQ40Tzi8DR7dk1w9PQat55Y5Z9/5vf5/rf87IYtP6N9R+94D9MaloCDecndi/UWkfbmY6s8Yo9p12vNbrtUwTNk00OTxiFAa5jP+SRat8blE2t1inmHycA1jg2WbDlCKd1WvY4TuHpXMR1netbem4hY0gm/o89l7+NaApn64tYj3VozNWMNicn3qT6F425kY/RmVH5NfkSX01w2lkth8prtKbUWWLI77WFO1ZM5G1tK3HUce8Dktx4mLYJwFhFijDHGGGOMMcYYY4wLhzFBeIwxxhjj2wRCGK/gZmIOY3708Qc4vtLg3oUq9y72G4kXaxGLtYj9Ex6raZi1TszmHa6dz3UdxhQ8m0asWKiEhAmcKjfZW3KphBsTDbeEC3DQn3/8TVR//4/hZ9+4vYSaTao3XGXS/Mqdm74912EYzQ4wfUfgpqoxms5wf6ZcHGtrRTTlO1y3u8BXT64BcN9inQ/ddQ7PlkghKHqSS2fzFFy7T8Fp8rufy/HZX2VyobGhgU8B+Q99afMZfPjyO/rgvfdfGHQ0sFmc+/X/yq7XvQ4wpN9RSMLDyMEwersJXAt/AFnUtoafjG5WETVWYEu9syThhxHCWPHdl0zxsfuWt53WPQs17lnorvefvOkQ80WXvGuP1LXyQ9QeziccSzBf8naABLH5vrYZ0u9WW6fnWMw7VqoAoqmFMc1YMTtABXVY/jdDoBoVeyZ9VKoiEkYJQgoq9ZhiYOM7Fl4HA2KY6vj5UH1OEoVIFduSbciLO6n6yqCjWbTe/niTHsj0Kt67tuBZj9jLWpjwkmvmuXg6oNyIsSQ0QsWn7zaalXsnfLyi6mv3SumRxtFWnaR/okS3FGfArCUmApvJvMvZcpPqEJLYwxEnV+ocnMmxkz0iHkGF8jsR1TDZVim3db7OP9br0g95kvOImZvJOe3w7gMWczM5ByEMSWsURdot1c4WK1QNWXzese9qrjlxx8jphHO7+E/PvpJbTpR5cKHKp+/43Jbyo/1uVdbAlrh5h8Vq1C7jHpxYq7PWiJnOuaw2YopuzIS//TlwWPW7tuTGA5NMBC6NOGG5FvKV46vrJ9ZRztVo+B79sqf8R25/99tZnQAxwpwjLcEzXvDrQ/KZKUyOBtsSLUfDgRihPwxrTxk8W7SKYqNre3FexqwtJip6VO62m7eN1r2a4WSTZkoe6R1rhTBEPMcSXQ/YbFSHQRimQpfldSNkTmb5X/sN+LXfWPfaGd9teWB05ryv/Qx5cBQr6o3NR+kCKJdX+xy9fKdjjXl8+L5+GIZTw6H41Efz4AduBuDqXTketbeAbQn2FANqYcJUzuGRB6dYrjVZrIVoDcdWG0P2id0z7K6Sh+9ILpoK8R2LmbzZh8aJ4kx5cPnMT/hpMv1r4rBDMXRQmzq3FlJpxEwEDrlUubazijKiaT1SSGDfdNBXOo0ooVKPqMUJDyzXEBjCWbXFlDcpJkqzv5TDSYldjUjziN1F7lusU0lVgsNEsdqIqEUJ80W3jxzcVWw9ixOt4emXzHDVXJ5P3L/EpbM5bn7Wyzn7oldx44ES01LwdKW580yVq3fnqaRr+6LvECYazxLsKXos1SO01lhSYKd7lU61dUuAEGbf4DvGSbfajPBti4Jv0wgN+dizZZdzcW/5934eppTeR7KXZh9jRBAsYqVSVcn2sxLdTj/nCpoxJD1pJ4lmyrcp+jZTgUucmGdpNIkyv7eJyaZvBbbk4umAk2tNco7VUsdeqkXMF12SRFOLEiwpWK6n5evZ1OMEx7UIHMmuCb/VVFdrEUvVCEvC7gk/JVEPc2EZPrll1w+6r/ezECb6w1oj5uunyjxizwTf+6MXcfhpecAaaFOZPOhxUr2XP//De3nzr/8TrhR4jkUjSljQmjNrIVIIjq822T9h+vBKPTbR59LkMn7/unOI1ty9WEFp2FvykEK2SNSdbUAlqQqx6ndAyYjIzVhhitPYxDvVgxdqIe+96xxrzaTVXwuuxbW78i2l1WacEDgWthTYlsUMksrqyjq574dKEqJEE7/l/8BTbtj5/YRlGwKzbWFbAksIlE7J7em5gBSCouu0ojlm87Bnmz4zHbgwDWcqTarp2r/g2V3kYGgThCd8m0RpSr5RLA6V4p6F7qiLV83lmApsZGpLWahGCDS1SHPLiTXyrtU1Npw6vcpTH3sRp+sxt58xaT3j6nlUMstffdeP8MOf+POB9qxOF59z7/4495yssLfk4khj03jmpdN8/sFVFmsxq42YnGNRi0ydTAY21WZM3rXZUwgIHEMGz6bNzjY37TvcuVDhM/cv8uSLZ8i5FsvVENeWlBsJna06l97X1w/TtcBOtQETYcyQfG0p+hzXvYFOWd1QGrwtEITR7ZFG0F7nKN3t8BfT73zuyMF77kRpir61/voe4yC40kFQV5qWOv0YY4wxxhhjjDHGGBcGY4LwGGOMMca3EczhDMRKcMVcgSvmCjztsllOlU1otL//6glOr3Ub5Y+vNhHAxdMB96dqwvMFl8tmgj7DYpQovnRsjamczeMPTHKs3MCSgpMrW/OiHumFLgRJ+Lu+h+o//xu8/AUbXjuKMah6w1WbIgl7tmiRgzsRRhpniCIPGDJQryF9FNTChNtOd6vQfPDuhda/95Rc7lmo8vTLZlPDc7dlcf+Hvsqx5z6WqY40slxmOYkkuJ/4EvkhYWjXw2RgdxucsrPGju+E6CTM9Wts1MKEWvStJ0Pteutvn5d0rz32ICsf+jDHX9+vfn3o7/+O4lOesu79Qgj2TfqcWFlfZefUapNDM7IVgnQU9NPxNkaswBI6VbnYXp+/QMPGjiK3gcrCdvBHnzsKjE6E/dKxVa6a3Xy/3SpsKZgv+TumBvpQrPrWQX96qJ7zhm/BNsp/58HKdt+1kwCcT/MUJwrbkl2/AcwWPTTdJFNbCkr+zisHV8OEhUpIwbMI3P45aBh6Rx5binXJKYEjsSVdpCbHEq0wuRsRiKUQuJakrrrz98zr93KyEvF918wxnbP5wF0LFDyLlXpEJVJctqtA0beZKHiUBxCqNutk0Qlz0NQ+aJ3Imfp5KGjt7iQSBSvViMkBoXW3inALatICc8g67Lf1pkPR8ym7vpMgsO6zRfd1rmxHn9hRaD3wQHczqLz+J5jOdY8Vsx2fW2WlO8a49LDUBC8wBWMU69r8IaNgZCJqKK3J2bIVtrW1FhEQzc7hLJzbVJ7P/sKb8NLTyodT/1lMiS5X7SqytxS0vs9qMUo0/+cLR7MvmfQd9pUujFnw4HSO51+/G41GIDiz2kRpzT1v+l9c9ePPRqYqX8OQ0UK+8pZ/Qi9VufXIEkdPl1u/webaqO5xCmjEitUh0TUCW+JYEksISoHNSt3sp4+XG0ynSmSdcC0xMGLDoPytN9OEsXEikUIgEUyss34Y9JTcelKnwCX6sXyVW9BKr0sSVonm8vs0lz73JX2H+BoTur3ve52tyY0ToLnW1L1ScGyxhhAaKWSrb3fC6VOx7YYhIAwvvSjR6zoNVG/5Ivz4a42iLEAuDx/8JPl8/vzsI7Y4gA56y82uAZXSrXDVnfcNLR89+An+EPIfCGKldtzRc3p6Ztvr3SQlUTUHrLf6CLRC4ErJUqXZahau1X/voH1xlChOrzZ4yatewx/+zvpE5EF46St/kCjRSGGU/JTSRLHpO4Ej4cqrqW6czEjI3nv/i7+b4//6cbROw5vHEExKXF/iSsFyNWQ677JnIuDrJ41jgmtJqj2xnpTWrfWHYwkcW4IQXLt3suu6Wkpck8KkY9oMrbl2kITgSm00wrVRsTU2SUua9OuRwknDqtcjhWdL48wQJXjp+BQninI9phomWBLuXzKlrGmrr1uitbSm6DkpCVjjCUnBkxyaCVhpxnzt5BqR0pythJSbCZfOBDjrjKuBM5jIqbSxxz5ybwGl4VF7C+wpetSjpDUmHpzyu9Z8R1dq7CsFlDyHvGP+s6Xg66dNva3UY66eK7beI9GQJOZNNYozqb24nMZHixJF4Eqa0ejRyjoFD7rfU/YrDHcQQbN24dkS12JwtKMhefAdyd6UsG1JgWuZSxuhmZNsS7TIbo1IG2Ky0niWxf5SwEK1bcee8G3OVQwZfjbvsFANyTkSz7ZYrkc0YoU3JbloothVbxM5l7xnIyXIIQrZG6FznBt1vMu5Fp4tCRzJ6376yRx+Wn5dZ2shBEiNfe1dfOKrX+S7H3UjBSF5zUsfzZe+dDedSyLPE7zwB36QV/3M/2D/RHYuYFS7BZpGpMjMV5Y0hGwhBFGscB3JdbsnQJuytqURvagNUJVGGFKhI7tJiZ1EyQQjhNIJz5YIAS+4cg5bCqqhYj7vIgQsNZqcq4QorVmshen4Yvra0rkzI5ZuN978q7/AT73pt7h270G8kw+OpIa70ZTfuubjnwdM/diyPd/0msaMcrOZDxpRplqtiRNl+qttc2jCFFSoEkMw7llD7Sv57Cka57hOvwVXWuRdq0UuzrBc714TB47NZCCAEl88Xm59P5tz+OBy/1jtBQ5JrIie8Rz+5cUv4Fm/+oPkquWuNq6BpWseRfKHb+Pj96/gWor5gstMzma5HuNI2FVw8WyLtWZM3rXIu5Jz1YiVeszuosuU76URBVRXX+p04g47Gvin71/kut0llDJtKYNtCSRQi9qEdkcapeFaGHOs3GDScZDRaNHyOhEnauhaROnBjmyjaids1glO0t3HXHt4lI1BKUdqsDPIWiPBdxIKG9h1ZergoNM9/EPRfjvGGGOMMcYYY4zx7Y4xQXiMMcYY49sMtjRGbGNkMMbfPSVjBPrhx+znL794vCucFJhN//1LdS6a8jm91uSa+cEhz8NE8+TDEwCcqTR48kWT1MKEmcDha6e2FvYww999/ZQJBYXJ9zMunWbqOc+D9/37ttIFIJ9f9+fpvIN/1eUs/tb/hF/5hYHXbPbgufrEx5D/7C3rXmMJEz5xWIhzxcaHn5aAzZqnvnam3AqlNwgC8G3BV4+vsqvgknP6CWAH3vclqpUKyy95CqWFOiJNLnQh+cVfYf77fmiTuWpjuRaxjUikgAkJ+FAgCAvOn2Ld5DOfweQ6KsEbwXWskQjmJ5brHJjOjWyhFIKB6lIbIdEg1dZI7w93NKKEvCOp7oDS1jCMWqKVMKHcjCh5O0/87IVrC3btIDkYdoY4u1PodZzYqfR2Ms1OaK0pBU7XQUn2LCEEMwWPyZym2oxxpCDw7G2RWTdCZZOKt5s9kx1EcukkFQeOIFZsejxKMIdNa42I5XrENxdqREqzt+RxttLkUZfMcN9ifSA5GNgxWZpGpAhjhWtb5DxraJj5hyuWaxEF397R8WOz0DCUUHihETiSv//61g6+18OlMzkOHbycAw/evel7sxa+9LIfhlr3avW63euvzbcC3+5cU7f718m/+3cOPftxIx/YAzSe9rwWI+jhqC1tS0EwQOkxThRnK+262AIvfstwHIsr95Van68/aGrj5mNrxI6HGzb66qjHX5DFj3yJlSPLRlXOMiFwb7pino+cezbPuPUDI+dFAHazwcyv/DSLv/WHACm5SLYI65lSWOBYxImm3Ozv6wIYxmXazDp4vUvzrk2UKE6uNLBHCfLQUYBygxZ/3Yv/kPgfX8lte46iBpCEVaIREi69T3PTjxoSy6D3zd7VscDuIE/WI4VQ9BBHuxPw7MHzrO+svx/IlHWHclyH/FD97Kfhp36s/4daFZ78GKpsLRrQMLiW2Jbz4mZI5V0kM62phwlhokgSzUzRQ2uN1pooUanz1WAS8DDFut6ICZvBn//je/iRV75wU/ecOLOw8UUjoBnrkesgTBRhvf3+Uoq+Rh8nihNLtbaqJgKNIcn+9M/90pYIwkHOOGcqbZLNSJKWSPtR6uaxk6tuq1Hr+tzprNOMDalcSKPCWW7ELaLfVOAQKWVUaSOF1bEAjxLN8aU6eyY8fNdujaNKm6gggSOJEt1l/9LAA+dqTOXsFpE9cK10Hbv5NpcoqCtF3pVUO0iJzVjRjGk5HvaStUI1WHn/2l0lYpURmwXlZkyYKFzLZiIIkFJyza4S9yzUuPNslcnA5tpdeQSCpXrEVGAbcmLHOsgS60ft0brt4DDp29QH2LU690lKw2qjZ/8u2u8WK81aGJNz+o8Bo0QPdKqsd5TdMKeXDMGI5OCMRNwi78bd9TPonuz9MnhphLVOh4Uo0X3iCZlqNKR1ZwujSJ0YxxTPgr3FgL1FaCZGOTobIwSiRZjM3ksAe0s5xIAN51b2IhuRgjPyXO+12W+3nlylEStmcy72xaeBjZ0mhRBgaf76b1+NXv1DfvE1rxp4XbOpecdf/A3//g9/yy33lo3Dgko4VQkpuTbTOY84USQaItW97naE7HK6jJXGUoNHrkRpXFvQjDSBKyE9w+glK4aJxk8jFZh+q5gJ2u9b6gjK5Fqy1V6W6zElz6HgWkSJ5s//+H+1rpuVkhlpEQPH45jmOiuxc9/4DJUw4fRfvoN9L38Wdnll4Hg86plBdl00PcNkh6DGRjaHRoeqbWd0way4svbiWfZADWtBf+QjgGYSE20QtSmXKn3X6pqcI3jK4Um+dLxMPTLOQc+6fje3HVvhxLIRoJACwjDG8x2e/Zj9NBPNv/zuO7j72DKzBY/iZK51bnXJTMDysTWumM2xf8KjGiYs12Nm8w71SHH7WTNXFT2L3QU/VafOUY9jbGTrvTW05piMnJ6NW70OTPUoxrNsmnFGtu62DdUj1RqvImWc9XYVPMJ3vR9e+PR1y6oTGkg8n0iBIzSW7CZnD4MtzZge2NaG1zdj048EYijRtxNCGMfHDMkOeMVZEkq+Q2FE8QAh26T3h5u4xxhjjDHGGGOMMca3A8YE4THGGGOMb0MIYYzOFmCnRrZIwVzB4+e+6zAfuvMMjUTzxePlLiPUkeUGk75tiKlD0o5ixVeOrnAuMvcdmPR3JBxQrzFeaci/+X9S3QmC8AYWBymMsa347OfjPO8FLD3+BqjVBqr1jIx6dV0lYZGeNSUbGHASpfHW8ehej+g7CMfLDb5yYm3da06WQ06m4R9v2FvkpoNTA6/LFwrkP/iVTT1/FOyEfShTnsug9PoqUt+JiNNweRtep+DsWpP5ksdovUAwW3Q5OySE6HpQKaNiOyThh2M1Jxoumclxa4+yd96RPGJPkcnANkb2RPOVE2ss1DavWjEqlIZPH1nh8QcmmMntnDpnLwqexUzR2zAE3TD0HnmcP5rq+s/d7nWjQqXKiuspA20XQggO7ZllZWWl9Z3rupw4s0ixUMBKQz269vlrF9tCT4ErrQkc0X+JNocnG9VPPV3n+HY7VG2W7nrzyYNn18g7FpO+wztuP4dnCaYCm5PlJpfO5Hhguc504LBUb/fj5105Qy1M+Pj9KzvabpaqEYkKu+bDbyecXKlzcCbHhRsBvjPx0V9+Kz/8hmdtipyUteOjf/Q3G17rWoIJ32axGm2LjLte31l7zBMo3vL5dd+hledf/51t5OL8YDZVy272yoENwalyg1hpLumNCNAnmbn5EWe9O7TuVltcD9mh/fN+/Dk4YTiwXjodbTQw+/TH8v233km5HuNZgk999ThnVxt8bu6pPJ0PbHokKHz1ZhbTf8/lPfYUehxktOJUpdERZr4bw4bWWJnQ2WGsRiqLYbClUXKsNmLjSHseFrmPeuU/csmJW7jjvT/F/RdDnJ3ta9h/SnPx9BN4wX/+c755zqjFZQqnne/m2UbluBGrLpJJzpWDVQNTDAtHD8MDtGfoJG/0wrXaKq/NDkJN9T3/Av/1Pw9NM0P1hquYvvWbA5XeNgsh6AqLvvkERr+0a10sBEvVMCX/gV0TrNaj1lrGhFyHc9UGe0tG6VShaa7jrLgdB86bnvo9m7redc2YtxNNfhi5cb0oExmGRRfoTq877SCXo17rJt+uh8uvvLbrc6b4Pl9q76cTDXGxhL1W3pEVT9a78v/8d1Rf/gPpc2GlETEdOKlSrebUSgOBZk/RY6EacqYnGlnBtTiyUsOzBftLudb6+NxaiGfH1MIkdWwYvrfPvl2utZ0wBFHLN3krjsew/j2Dxh5XSubyLgu1kPm8R6wUs/nM/mEIWOeqIcv1kEhpKmHMneeq7Cp6rNRjFmsRs3mHciPmluNrPP5AkctmApbrMTN5h9m8i9aaMFHUwoTAkTjS2Gl74Q3wBnEt0SJUNeP+vchUT6QGowTeRrkZkXftgfPIRn1hEFE+w7BxvPd7SxhlTs+WzBUdTi4PjkLXjFWLDGrSEa30MvJo4IiBjgxholhphOwtBh0qxYJYaxrpvq7Ttprtq33b5srZIo0kQWnNyXKjq48fmAy4fu/Elvbhg2ayjewEzSjh3FqT6bxLzrNba1eNsQ8fW66ykIp+/N273kZhtzty3oQQ7L8xN5Qc3Il6XXPDJSVuvmeFahSjtSFDC5E65g5YGg3KRpSogf04ijW+Y6KFZIR0KSCfrh1ahNtUSESyvqNKrBLOVrrHqGqUMOk7WFJwxeHL+C4v4DX5Ipc5LmFqX5HAv9er/H1tjZNJ/0v5+SIPLDW4dleO5ns/RuMd/0D+D3/X5K3z3YHKdTdQeOaz4Pd+ayhhWADMzDDxoU91zU+O1W6bluxvJaMOg90Ok20M6+WVMBk4R1pSGAdy32atEbeGACEEFobYe9vpKiups+zu+RLPe+RedKL45DcXqIcJl+4qGmeSWHFwOiDSsL/kghAtR4hjKw32Tnh87VSFI8sNnnhogka636mGCU+6aJLPHFlhrZlwbLXBvpKPIwUH5ks0o7gromXb0dusDwVG2X4qcMm7NkpptABPSiwpDEEVaAxYq3YqCYNgMnCo7983spp/a1/59+/lkigi0DaONErRswUX37Uo1yPqYUKkFI40ETWasaYWJ9yzUOX63aV1n5EhTNeZgWPsVtl4NwiJHm39MwwSMx8pbdqrJQUl3950ZCelNFgPT/v9GGOMMcYYY4wxxsMdY4LwGGOMMca3OTKyMBjjsy0l+6Zy3HaqPHAnvtKIue10lSvnc9gCLGFUb5phwvtvPcPdZyu8+LH7OVSQlBuxISJLweHpgDNrzYGHdFvKd/aPAwfg2LHtJVarUX3MteRvuW3gz4uViOrTnwhLS0C7WMLSJPf83fu4/IU3sVUtzeoNV8HvvpX893R7mXvrKAeDOWgVohUgeajqjSUErpOFZdItr/Feu+nZapN7F2t89eT65OBe9KpNP1yw1EOgLHomBJ/S/b89HJB/zrN3PE1rQHjUYag2Exphgu+OtnTcKukT0oODZBsk4YephTEzguccyaP2FpkK7FaYv07VoMPT/nklCAM8sFxnKrC56eD5IYJOBDZT+dEPskbBQ6nad4ocXGlEaG0IqZVGzPyEh2NZ6TPMgcpOleHMRJ7aADJDGIbMTRWRUlK9QAq0W32jRBl1IWiXfz0yTjaJ0h3KMeZv3jWHMPWOAxSldZ+i2KC5OnDkwAPKvGvxlEtmeeyhKWwpeOrhSbK5+ehqEynSg00BjjTKkE+8aKIVXvd5V85gy50jgUUpgevbVZU9UbBSDZnMextf/G0OsSOUoUEwbef2Rz6Fa772qZEIttm/H/yzf4ADl2z4hMCxmPJd7j5VYe9MsOVDy/VKYOnNf4B+089R+uJn+g7sO/N99Nd/B57w1C09fztwN1Cfi5VipT5crVpgHI26oE3o4U5lOykEj91f4ktpaODlesyu/DrpDth/rOdvoOlW7csQ2BauLfoUt8VnPjGUHNx1XUf65euvYvYbdzHtWTzhynmc9P1uftUHecLrn7VBSv1pXnT/Nwged9OQPIi+EMudGKainylYBq7JW5LoddUXZ3Muk75Z+076JoR9I0qwLcnp1TbxQWjIOxaeLfBbSpA6zanZD/q2TJXBNErBZTMD1Lo7sm1JQTLzVB79iFtpxAmOlCRas9aMmc97LXXQubyH0hqZhgMWHY2jlwBrCdMO1iMHgyEo2FL0Kbtlb6W0aoVs71RTBENwTbQpMxOWu73/TTSEkcKxemSGRyAHZ1i6/kpmb7ura4DoVO+7EAjS8PZbhSVFqqRnHIayNDOSXT1OzF5fwGzgbbim9IcQAUddit5xssLVewsbXieE5MTi9qJTdcIaQm5cj6CeYTKwTdhyCdXmaHPTbUcWuGRIRK5B+NePfQFIozh1KDhnY5vWmiMrVerv+PDIavijovS+f2kRhMGoRGot8GwzvtVDhSUlDoL9EwHNWHU5TPiOZKEaUYtgJmcUGcE4ScTp2jZKjLPDIASOpJmSRsPUec+obot1FWU3QqYiOfA3V3ap42ZIFMznfXYXfTqi0eOkKuBRonlwpQ4Y29Jiuh9fqoWsNZM0CptGpyqdQohWRKvFav/e3ZICy5Ik2rx/PSWjhYlR2L1mvogQcKJcNwrA6T6sGWvyrokE1bkumPQdOn2I6nH33LVYi7CEYE8pIO4om1HKt5Gq/iba1KUUAssyK89B43zvWNE5VeZcC8e2OTRnsVqLWmNTBpXuW3KuRCmjPB12zBG2BY1Y943FGs0dZ42ts+g62FLiWoKC77DQQRqNEjWYtCsEgW3ab8mPacRGJXvCd7hyV2Hd8XFQerrn76DfBkEpzdlyk1hpzpSbzJcg79mEcWLG7TBhrRG3SKCf+ORbOfyMzVmrbW90O2CzofmJ13w3P/v7/07Jt40zUEq87CUjDnLacSyj3DxobThoTskiIWraDmc6+w+ztohDlTpOZ9EETB+txxrflhyeyrXW1Rozli3cehtPf8vv8sSJaYLUDup11OmLcwWeH+T5uZUFbgm7yeu/+Fv/Cz2Xox4qKk0Fz30ZzRe/gkumC6yW1/CbVayZXSaKQpjgWRbyB36IM694CcFdd3TvO1wXPvJZ8qlycKJ0q/0047a6tlKjjXmDlH8bsRrsGDOk4RU61MwdKXBsSS1MSBQs1KKBzhZXzOa5Wph13pHleksJuOBZSGHzwkfvJUw0zUQhhKRcj7l/sc4lMwGuJaiFioumfbOm1JrJwCHvWNx2psp771rk4KTHjalKdN4xztbL9Zi1MEYI8B0LMGvSQXuVbF2pMQ49Zk4QKfE6FWtJNJaVznPCjG29fphmXBZoRLv8PvBJePb6e8Xs0sbhy5D5PEeW61gCLpstEDgS35VI0R29yuzZIFIJ9y4YGvKJ1Tr7J4O+fA1DyzFinWgQ28XeKR/HthCkIgZbsEeGsSLvmfF27OY9xhhjjDHGGGOMceExJgiPMcYYY3yHwJLGCKI0PGJvieVaTLmZcO9ive/axVrEZ4+scuVMwMdvP8NiJaTZYXiS2hiylutx16HpXN5lLi+xpeC+pf50N4PVRsTeok/+3R+i+qRHwyZUWAZCJVRf8X3k/+n/Ae0DmOU3/ijJpz7VdWlmoHPLK1zzwpu2fxD48z9F9W1/Tf4xNyIAb4jiRSek6A/zNwhhonsOvDKljbax9c6FCh+/b2lLyivbCSW6VTiW3FBZebNYayasNRMmgwu79MnUuLdr9Dr8trftQG62h1OrTS6atUYyAAauhZce+G0FCtCJ3jCc5SDcdNE0lhQorTm2Uufo8vbGogsB35YUXJvnXTlDI0pQmhY5uBfrORbsBCZ9m4Jn8ZWTazzx0NSOqtUJAbMFl4Jvb5vY+lCmO+5U3lbrUVdo3ShWNGOFTJ9RaSTMFNwthTXtRDFwiOPhBCgApczhSH0dNZJvNYaNFc1YtUjCnVfEij51wGZsDulyjlFEGTb8dM7Pu0seec9md8njZTfsZyJV3m4kSXogbgJDP7BUZybnMJ2zWapF5F2LJx5qk4MBamGC71oEttV3YL4VDDqM/XbDci2m4Dvb7gcP3Zb9LUY6Vn/px34V6//EXHnr59Yl2Crg2IjE4AxRopkrejzj6nnuW6xtuc1uNF8t/8bvsQzsesOr8e6/t30fsPKcF1H+mdHJgzsNV1pDnQFh43fLOVaLmNWJONF08gulEDxyb5sgfLLcxBnSdSZ8mzBRffUx26tS2APXlpyumPHrXCUkTDS7Cy5POTxFlNRahCmAA2/+pfVfrAdZm1u4/kou+cxXObx3grm8D0DcqDJYj3AD/PqvIT/48YE/bUQHdTZwtstIaBupuBfcdplGidnHxTIl23SQrzRwcCowJN5h3aRDGUwKcK2NCabZJTnfaoWqztkWkVJY6dg6k/PwHBMKfBChtxObmXuGLQfjRHPvUpU9RR9bChpxghSClXpE0bOZ8l3iNGy5LQUqJa4Z5ymTht3hbFh97cZqib1YWF4jn28TrLNQyJlC9LB3NOq8pkNvZ26ZKXg4w5iVG0BpQ5TSWhsiuzaEjM48Z+uPsxVD0p/0XVxLtsiartMmqCrVH6K7E37PQCLoVH7VLQnII+dqPOryAywvLw5KhquuvY4vf+VrO+pEOMyeEa4Tt9u3JaXAJufZTAhYXAvJ9Bc3qlOl9chk6DtOVlKlw4RKGLNYV8zmXHzLYmEtRGvFYiNq1dvRv3o3h374RTtGElauQ8G1ODAZ4EoLpU3/jpVRbg0cwVI9YqkWstqIu94971osdzit3rtY45r54sCcWQMcASRpVA66VWMt2W0Hy4izm1kbdDoM9BKOkw1sC0rRchb0bNE1nu4pepxea5L6+iEEVLocKA1p1kkVFXudYjphC9PPsvfNunqijDBr4FhGQX6AumdmJ8g5Mh2PLKphgiulIbo6EiuBR+wpcefZtdb9Z6sh56oh1+wqYgmZ1rVx1HBtkUaLMcQ1836GvFePEpTSJLFO5whjg/Rs2Rc1wJaCqMdeYcpRY8nO+VAwETgIYRSTT680Wgqndkog7IVMyaC6Z1GUaMU3z7WdCs5WG1w1V2Qy7xnBDClYqUWtdrGRjWk+57fGIKU1YazxBpgRB62Dt4s4Ua2+4lqClVoIWrNUjVrfF1yHwrRDohIUMWxZzmI0fPGTJmpcGCuUbhMvG5Fpv7Zsk3mDbN5AgzaRBSwBUpp5IlGKbBm4UZ/urKKsvpKO+Ve3fJM0CM39S+bMYG+JrjVSqBTiB16KhhY5uBeuELhC8PuTs7xu6Sz3xu2xrTlzKfefqzEZ2AS2Oe/YXwpwbcHsVIl6lJF9244dSkP0tr/lbHpe4tmSAxN+31o9K7OsLEyUQZ2W48Zj3rBpLCPFdpZxb7/JYEuJnw5AodJ84p4lrt1daEUenAlsHrGngAZsIbh8rtByTH3u5XNESnHr6TUjctJKU/DZo6utevvuwxPsKXqcWGsyGdgcnLDQmHW01hopYC7v8NwrZji51kRoEzWl4FpUwoQnHprggeUGl03nKXgWRd/i5EqDZjo/LNxwHURDxE0+9SXsiSHzcVokSoMnRZfzRIZYGSJ24EjjjD4/T/Vd74OXPHfdPXH9iqs5+5b/iwCmApuDE3lipQljOLJQJ+cJji7VSbRmV97HsgRfP1XuevZiPcJzLHalYxm057IMGak8UWkd75RaQQ/ynmS24LUidGi2LlYQxopSYO49jwHSxhhjjDHGGGOMMcYYgjFBeIwxxhjjOwhZCDulBd916TSuJQYShDPcs9zgMZfNcvPd5zhTbh+5fv3oEo+6dJbLZwPuXmjff65DbfbwdMBiNaS8RcXBo6tNTlVCbjo4Sf4zX6b6n94In/zYltJq4e478R1Jaldh4Y0/AT3k4AydBh7BDhzA/NhrCL5xF/VIrRvuKUO9Q6VjKwhjhWcbI9H9i/UtkYNhe0qwW8X5DIVeTUnC66mw7SSO/e6fcujn/8O20pj4oR/aodx0I4wTdpdM+MwwNgc/Rd+EXcvKJ+dIPEey1oiJFZxebbBn0mfjHiHYO+FzdKHWZ9aOVUKiwduAsKAxpCHPlsQdChoiJduBIcxk/RmMQX4y5yBStbHJnMfVu0soDZVmxM1HlzjP/NotoRErJnyriyg4DMNC3e4EZnNGte54qlZ372KVS6YHKM9tEY4lKQXOjturt3M4dz5IgTthky/Xwi5CWOBIFtZCTlUaHJrOMV/wCVx7yBjde1QxHC99yYs3JAd34vCBfTxw7MTI128J52EK0ANIOsMOyYBWSMqNCAmXzuf5me+5BEv2j2ddZP5UVefAhEelmbBUW+Mx+4pdRLlOFHyH5Wq0rXa0FcW1hytOrtQ5OJPjgmvQfIcdaH3hx3+dLwAv+qVXMLW23H0I6vq8/Q/eDcCj5gpMbiLdWpTw2SNL287fqFS8M3/y95tLdwc8ZWwLVuoR9JCAs7X+Rk0p2SAP+yeCkfPypWOrI11Xi5LBCowbZHa1HrdIBa3vGjGR0n1KU4c2Tm4wtDb7BSHYVXJxLMFdX7h9a6S5+vBgwZVw/fnRtkZ7mmMNVsntRRZROrtyULVL1iEHdyCLIqR62pvrDFbP7M+LxO3ZkzWjfpX97cC1BNGQckmU7lLszEgiYMJhT/gOVlrbWQrZtKuyqbUz6a9/dfMZ/J4nwM23tj7alqAZKvzU6chJFTQdS6TEKfPIuCNqgTtiG9lJKKVZrYcd+93BZdzZJs9UQs5UQq7dVaQeGTuCVibUtZ8SlSwhGbQy0ZqBzs/ZOsQ06/Z9n739KADvf8+7+Js/+2P8XMB/+sX/wg2PfQL7p4MdJQevB9eS1AeoNGb5zmtNrRmzXA3ZzHIqSSPh3HxkmX98+9v5g1/68a7fhRC86wOf5tpHPoo4MUrOq82IE6sNfFviWIKzlRq2lGl/61gr7t7N0Q/czL4fejHO2VNbffUW5Ot/goun8iS6nwBej0xbn/LdFvEuQ7Y/750ibj+7xt6Sz1zeJUnaLW+Qece2eiN26JaSbh820SRyriRqKXHKFvk2SJ3/RnE+toRptVK0d3VKw3TgMZf3uPV0GSdV0m0OSG/fpE+cGJJ+pAzpuRomXXt9K3VsUOn9sepXWo6VURK+7czawLEyVkadPkxiVhsxl8/mkQjipE0cnMl5nFprtO7RQCVKuHZPgShWiLSc1i3TRLFUDfvkNZux6lKNdVOnjM6cZuRggLmiR9ARkUoIKAUOjSgh71ldKsm9+xjHEq15oRO95OCiZ7Gr4BN4dkvlP+fZ1MKYZtwut/XQOQZpNPecW2PCd5gteEwEbmuvv5N2hEaUUG3EhIkhbFuy7ci6WAmNcm5HvqWAWAjyzhywOcX1qL65/WGStJ/ZaauVEm49vWqclyYDJnynpfZrkJJ6tUljVEf39dbzzVhjSY0jwbGNUniiNXecaa87j63UOTyVN04ywPFXfT8eow0jnhC8sTDBf1pZAODw9U9g9eQZLt23m0akaEQK15Z85dQaN+6fIHAEjkVLZbw95Wtmcy6WTKMuIFiuR0z6kHPtFtHaOHXFVMIYndk5NdQjgW3JtDyNI4XSmkSZqBPGqdCkbKdrkc6+p7UhtVrpOIXWXfuNzhK2hOSS6QKRUvzj109xYNLn1Jo527lkJuCS6RzX7srTiDSuLfrUbPOOxY37Jrhrca3VZiPVjpzhpOv163cVedyBSRKlOFFucLYaEqWNqx6r1jpvyrcpehb1MCHWMJ1zKLo2l07ncG2LZqQ4vdogTKD6hc9RfcPr16/UpzyW1SuvZOrt/4rSbZJ5p9q1Ibxr8o6k2vF95ziU/XUsQf7wYYJv3MXCX/0V6vd+q3W9ABr7DnD6L97ZlYXdRb+r/zaThOXVmMnA4fhqnXuXhvfhubzXKktLmnV49qxYgWv3OFRoSEZUoN4M5or+jq3PLClaaX0LlsljjDHGGGOMMcYY3/EYE4THGGOMMb6DIIQhCccKEi14/EVTVMKED969MPD6RGlOrIUc3DvBYy9z0Urxvq+e5Phyg32rDQ7N5Lh6Ps8dZ/sPVh9YqiOAPSWPwJacqzZZGzEsI8CZtSYFz+Z9dy3wjEtmmPxffwxA9Zt3wO+8Gc6eQ588vulD4MXrriD/lTuN8X0EwnGn8Xc7dgsNLHz+C+Qfc+PI92wnInimPABwxVyOB4aoqJY8C9uSLNUiDk35nEvD7/WGhruQqA8hTO0EIqXTA58LhGsfuQmqnkFntVee8wKufvP/t8OZMvAde4jpXTOVd7uYtyZ8++Cre43Mrc9CsHfK5+hirRWOWGnNkZU6riU5OLFx6FVNO9Sea8s0tO+AfKRfJUr1GS0tKbGAqZzHUy+Z4/NHFr+l7Xs7cOT6Th3bhZRwttJWS7n7XG1HCcJwfgi5vWmeJ9GMkbHdZwuMqm8p59IIY6KUaKCBe5cqLNVCdpeC1rW666mC0+UGt50qc2AyYL7oMZVzyXpmr/PLe9/z7k3l7fTpk9t7uW8RBh0EDyMIaNrKYRlJJhvDwg5Fsgz3LFa5aCqHZ3UrrFc7iGVCCA5OeADsLro8Zl+xpXTYCyGMgtdU3tmWivD5dCZ4qCFRsFIN07nqwmEnFda3i/O2tBnwku/+H/+07i15d2PF0u80xEpzdKV//vZs2VKC2k4dWptwrhu52W6xfQ+6rRGrgfvFx23tEQDY3/ssZj/8Cc5VQ+byLt7lV9LY+LZ+HLpo6E/L9fXH4I20XX3bkKWyENDZfNJJeqq++qVw5+39Nz/+JviTv2h9DNzRiL0ZPLs7vHBGcqiHo6txDiICNGNDEAlHIAn7jmT3hI8QZk46sdyuIUuYfdlQ1WxMVIuVVIGz1yGqFiVM+oYs3YgUviP6nHC3HQkn6q5/W6bGFMwaSimNlEYFtLM4M/VNTZscvpWsbGVMUFpzttwYqX7VgMJfbcRMB043cTNdCw0ld21x7HrOC1/Cc174EgBKvk0pcM4LOXhYkvVI4VjQaXqQoq0svFgZ3P/Xy6HWikqS4GmLmcDhOS/6Pp74rBd2XVPybMrNmK+fajtrzOaNAmgjVizWIj5w9yIamPJtXvXIPZSbEYnSNGLFcj3C/fcPkbO7j3SqN1y1Ts568pm+x/QLXrCuzakRK1SHu68jhYmcYZtoMIlW3L3QPbafLDc4WW6Y/YxnU3Bt7jjb4Or5Utd1g+qlVxnRsQz5rRH2fm+4qo5l1sxJSsq30vW6TKMJtUK3q42VzzuhMaSr3vx05jvKlHR7cPF0jpxjt8Y2O7W/Hg27y2lQOzLK3yacvRRZe4QDkz4PLteZyLnUwhjfllSb/Q4sWV0cnPTJ2baxg/Q86PrdJWYLJtrJqArltiWZL/mcXqn3jS21SLXD2YtuUrjTQwIv12N8p71fihLNZ+5foBErDk4GBLaNbQ2OpqZ1/75pJu+wWA9bfWpX0WPGdxFCsFqL+p7VLmczJwoBjVAReBZF38Z3LE4s1brGc0tIJj2XWClOrNYoehZygGPoZtFpr1BKcXqlYZxOhHGH76zeRJvxKpfO3aFKWnX9F2/9LL/yz9dj2aONnVppjn9xbeMLezCTc1ipRzywXOWS6ULLppq9g3HmqXNgIqDk9SsaN+LRoxFZQuBaw/fqjmXm+6g1LmgOT+dpxAmJ0qw2Ity0PBKt8b7xtZHfUwrBYz2fWSlZdXxu/N7/yF/95b/xojf+AErDpTMB954yZM7HH5hgrRlzfLWORvRFACv5NuUeFfEo0ZQ7HC6KKTF+Nu8QJrrv+l7M5d2ecjFRArQeXl4JhhAbrbMucCzBl46XKTcTyk2zX7l0JkAKuGgqYM9EwPHlOnFCu7/T7RRw5VyRSjPmRLlB5wh3w74iV3eoy4eJcWwMHKtrb+TZsuUIttZMmA6cVME+Yi5vokbEaZ0LQIc12IgcTDrfffObLP/Hnyb/e28xeVAmwkqvbTlUurU3Cxw50PnJTuecMFFM/OBriF/9Q1gSwlQBvyRh6dxaV30kStMpXi0wUVygicCMZcaBpbsN5R2rS9U4Uf1r2zjUXfvJnYYEDs7mdsTW0IwSPMfC22J0jDHGGGOMMcYYY4wxdgZjgvAYY4wxxncYhDAGdaEgVoJnXjHHgSmf5VrEzQ+u0IgUl8wEHF1pcDr1GlcaTqXE0ec8eh9ra01824Qg3VtyOVeNutSDAXYVXFxboJUxDnu2hW9blDybU2vNDQl6riU5mz7zX+48y2tv2AdA/sqraf7Z33LqT/+U2T9/65bKoHrDVeCNTiLZMbLZj7+W6OZvYAnRUrPYCNkBri2N+qbWoysvZLh4Ksf+iQpTgcMDS3VuPDBBpRmzp+ixv+SnIRdN2FbznzkctKTx5L/Q2A4x+qGIB1MV4c2QzMPJWU7903sB+MhdZ3nKJTP4zoVatokhGR2c+z5icMdvjm1xttpguW4ObBaqIbHSI6tpCdoG6J1Qwgxcm++5fJ56mHDb6TJn1rYUjPpbBtuS561/eFY/2WOj0NoPVZzPXI+a9lbmjS6HlNQC77s2PubAWAA3HpxmrYN4qtOR5ZYHlzlXbfJdl85x+6kyjVhxz0KVexaqFD2b6/eWmAzcrtP4rZbTn/zRW3njT/7UttJYDztJDrGkITM0BhCZBtVR5ozQefBiDrY1sUo4ulJnT8mn4NpIhFGz0nDfUo3pwGG+4GEJEypzmDpw4EiKnjWULJSplU7kXDxbcnYt3DTJaTsRCB6uWK7FFHwbewN1+jG68a9vei2nbrsZhzZhKAZ2X/s4Xvwb/5etML+c8xgJ4tsZFqCHFF2tmbRIPq1LOq4NE4U/oO2fKTfMfR033bh/gsfuM0QtWwruWuhXrXJTpb6tQFyotcOZMyitkWjOlBus1CN8NufUqYFzf/h/YdmUQdG3WWvErRR0SqpoBU3uWSJ7drvMs7VtFtZZa02ijGJbViRSGKVZ35Ys3XU3+mUvGJ65L3zO7Fk/9SVmp0p0ioHZsq0yN2ysb6TKrX66l9wMOW4jaKXZM+FhWYLjS/207ERrAleSd+3WnO7akotmcxxPiTFSgNBGRVQIU7CdBGgp4PBUDilN9J9IKVYaEYemc1QbEY3IlKeUGsuShHFCmCikEFhC4NsSKQUuDFUp3iyKvoPnmDpfq4csVCIcC3p9oB2rTdSoht0Km1l/FBiFyKx8mrHqI0svVc0+RWLU90RWbsLsCeL0fYVICdTCqNeO2gEGEYSPrdaZ8B1cS6Rpa6NqqHUrdDzCtIFGqvKZDGmEqtXuN16TlBsxCJjKuSPbSdbz0pGAkOZvB68bkdo7wPRvgUandhalU4LqNprLcjPiVLnJ3pKPJVwmvH6CWJikhHKtEek6tR61ifsrjbiVhadcPIVAMOG56Strdhd88q7Vvzd+5nPgQ+8fKZ8C4MCBka6VQpB3LXYVPDzLQgqBbRkSn9aS3QWP05X+PbUGys2Ycsp07F13iw12S5aAONFGideRRj1TmzKIEpNemHQPgkprotB8NiqLw9N3LdFN2BKG3RonyqQTd1PHLGlslIP6DcC+ks9Mzk3DvGfvmJKcJeQ6VNCzvPY29URpTPY1iTRjaSNO0IBlSRZTm2s9UszmHMrNmKnAoRrGLTKaKw1pVxMzn/Oxcx7TObflKhorjSVHI2c1woRqSkj2nOF7l0akyLtWF0GyUw1aCFN+y/UQLTS7SwECWKg2qUUJ+ycCJjybMAFHGpunbwtqt36d+ht+FMptMj2ej/tf/zt7XvJiioFDMXBwECkpvE0EbkSKZqTwXYsoUX1Ev/kJr8PxpG3J8hyLqCcKni0FtpDY0ubEcgPXEswUvZTMa27vdmLpdcntKLj0K93qAZqVWpQS0jWD2qwEHNs0dUsK4lizfyJgKnAM0fArNfY/Nj/yHvr+T26eILzWjFsiFHeeXaPk2wNJ6uuJUWs9moUkSoz6rBDGRiWkQCmjFKyUSaI7moHAsyzyjkWijGq21mYOiNJrNrMz0Wh+Z3KG43/3Gc6cPMslh04zIyLOaYe1jne+b6nKpG9T8JyB+/7O/i2EUf6thm3Hk6nAaTmQLaROwb39qBdzuf5zjExZW4rBzsdAh5p/P4wjuuaKuTw3Hy+3vr93sc6j9xYpupKzqw1sKYgT1SKs9iqGxwn4ts0l0wVirXjeFTPcv1Tn0XtLBLaFSPOXrYlKnsPhacED6bqw2lGGszlDDi55NnMFD1tYXfYNDdQe/+ih5dSJVjV8/EPU4zgVrzHPum5323FFimz8SB019BCnx0hhpSrfYN5JivbnRMFVcyXuXaywfyJAaU3gWF3Ky46UrbrWmPq3pWAm56C0ieinIXX03xg7Ee1mGCbz6ztvbcbu6dpmf5SlJziPTs5jjDHGGGOMMcYYYwzFmCA8xhhjjPEdisxhN1Zw1XwRgJsumk5/1Xzl2DLvv2uRpXq30U8jqAlJrZmw2Kxx94Ix5lw8HXCmErKr4FINExaq4cCDoHPViJJvM+NYLNYidhfdFhG5E53G81qY8Ddf7Q5p/oTj2wxx3rzwxEClFP/0pWO8+nEHR76nHinybqr4FGXqU5vzDs+7Fi++ahcATzmkBxp3Og+4ASYDo/owmz9/nujfKiRaM5t3gVTNSWfhYFXLULijuPaRNAslvEp5Q9KCBpS0WuRgMIeIH7n7HI87NMVcwd+xbA04rth2er1QWlNuGuPm6S2Qcf0RFc42B0Hg2jz24BTVZswtx1a6DP0PZcSJ4pmXTfPRe5d2lPw3m3dYrUctlbYxLjw26ovZoWPBdyj4bVUereH20yucXWuigI/ffY7eHrPWjPnsA0tYEq7ZXWL/RA4pBe965zu2lNc/eusf8IaUILyTY0gL2zzg0FpRiRIKjo1rDSBQrAPL6les6kQjVq1DLICnXburld2lesRKI2I65xA4/c8NHIktResAcGj+O/7tuzZ7JyVrjYhmGtZ0lNKxLdGKIvCdhBPLDQ7MBC0ynzm0H586DULl9Gne8YbvIcQYhTpX4i5w5rab+evvu5qfefvnwZkYOV0BXQd/FxLnrcULWkpkW3mQZrToGBt22d7fOz5LMThb/Yp7Gq+DvWEPIeL5jjVUxWzDIXoYy3nY5WxRgDTNyEojwrUkS/WI6UIRvzIa8SWj4XSSOjQxQoiuMPCdyDlWF4GhMyqJlZH8XEOYDFP1/6xmLEmLMFxeKcN65OBOPOWx7HrwCEcWuhWokxGmNo1Zi9vS5FWmFuDtdk/ftfHTMPH+AIW1MHOsSUJDqrMtqs2YajOhc1vpO5JmGh2kRT6FlmqbJSW7JszeJ4xi8q7N0lqmDKhb4bzjSBFrzb2L1VY/uGqu2Kc6vB24dqeDr6ZcjwmcYWTB7u8y0niUGKL27WfWmAoc9hTa4ZpdS6T1Yki5AkGt2T/nO2ko8TDZ/po9GdKZjWppJ1FNp98bxWfXNg7FvjN8zeTZokV86t2ztHwWBES1GuHP/iScPEGYC+C1P8zMq1/dum694UavU78q/Z+U5l3a/aWbgDeTNxE7OpGppHYSV7L8ZusLW7RJj4kCpRVnq2Frv2tJ891ird/OJaXgM0dWAKOS7ViCc9WI63fnCVyLb6TqlCXP4tBE0DWGtwiJA5D/7d+n+vGP9ClfD8Ps+z7Sereuck7J+5karFKaQxO5rnk9TsB1BLUkYaE62h6/lyg+MCpQBxJNa1wY1M42moqascZOSVzNngnWlgJbih7RgvY1MlWRhHYdh0nbHnftLkMqCxOj5CqgRQ7uz6Mh300HLmvN2JCPE+NIWPJ6HHsEBLakFiZECSzWQ84MIF8DhEoRJpqwHpFzLQqeIV5NBS6HZwsEjkUUJ5wtN2lPaSZH683jcaKopIT95XTPUsbUn2/LPhKiEYOQVJoxx9ca7C34qcJruzASrbjtVIWiZ1FuRixUQwRwyWyBJx6e5Wy5YcjBHfuw6nc/HlY7iMEZmg3CX/k5jv7aL6I/+UVO1RP2TQTkbDudc9tvGsYJvmvhWIaMVw8TAk8yW/CQYhCTVTBb9KhHtVZdWhK0AqXbjlOx0tQGOMdk8BzJZGCzUouZzNlEsWKlHiOEaUvTOYdiYNOMEoQUrNZjMttkNm8FjqQRm3HIfN+2i+Udm+mgrcb7X3/kPfzvz38/Tk6uu/7WWnP2jhr1pc3PH51qqBpjox+0bvXWc9Qc1Xkle46GRqzJOd1K1I1YE9gSS+qudW72V2vT5yOh4czp0R7a+Q5Cco3rc1st5JZzCYdufDxnKjF3nV7ldMHlURdNE/gOXz6xxnMvn8G1Ja4lu9bNU4FDLYopekbFuh7GaDS1DgVlQ5rvXFOa8XZ/yed4ub99XTSV66vfzrOBTlL+wPcaEGkh27fFCkqew6P3lfjyiTZJ+JpdBTPHCTPe3XGuwuWzefKOjdImooQlTISBznHBFpKr5grsnfAIHCudVMxauRaqFsE7b9tcOpNHAGthTNNR1MIE37G4NOdiC9OmjdMSeKla8lZsxBpYeOtbuPjnf467zlVoxCol1poyVbq9pm2k61hbmmcrdKvsRLYv1GbLo2KNSsy1cccYcXgq33a+7dhWaK05W2v2EcFjpVmsmTHXElDyHSZ8G4tvreN3KehXBN8qhBCEUdJeW43NNGOMMcYYY4wxxhjfEowJwmOMMcYY38Ewh4XGEKIxxsrMiH3lrhKff7DMaiPuMkbkHIlnCZo9ForTa02EgPuX+sPn9qLciNlb8jg8HfDAUp1LZgJW6hGLtSEH0UC5h7h54gWvYs8H/t+m3nc7yA5Otmu/ePXjDm54WJkdhChtFFOU7jfCbwadxvkLRdjIPNi38rzzQjjrwEp9cDubzjnAeSAIA6ff+WH2fv8zcVZXB7aj7H2VEBx73+cGpnHz0WWumC9w2VxhQApbw06ThAdhPX65xBDyMmWgZo9h+fxCkPccnnrpLEvVkC8fX3nIk+GjlNH+hEOTrYPl7WJvyWO1ETHIxj78CPo7GzvdZ7aTnhCCqcDlCGbuXa8FJwpuPVnm1pNlDk/nOHV2YUvPjONOMtXOY7sqh0JIoiTizpU15vIucwWjEBWlSnsy07ccUPBhbAgBiVIDxq7+/iDpnjWUzhSAIgquhWvLNKSqZKkabam8bEsylffS9I0iZa0ZUw8TEm1IREJAlI6fec+icj6cXR4GUBqOdpDoJgKb6cIoESM2oql8++Ff3vA0FKb99raWjM4UI/g/r7iJV7zr9k2l/a0gBwOt/hzYkjBRlHwbW0rKzaiPHLQZCPoV9vuuEcMJN5HqD8G+09jpEi834q6D7q5nbfAwLTRPPTzJuWrEHWfXf+/EcrCS0chsg/DJB5Y5NOmjiKmGig/9zjv54Tc8aySHPIAH/+hvur43Ibz7yS05RxI4Rv0xcNqqX7aERCnKYUSsbAqu3aWC2wlbdhBcvuvxm3rPO665jonPfJH1eOauJbCkUSjOVHkbkaIZt8m3GbkhcLfeYiwJU/k2WWDPpI9ShqSzVGnSjI06akauO1sOh46vncT2eqTwHYFS3cSPJFFIKag0ky6lutbv6ReWkByaCjiyXDcqu70Pcz0IN+ms+DO/0PqnZ0uqjQjHMmSVTLnUGcAx6x0LYqXRGAJzLUpwLMFszu0aK9vkq/ZfSf86SwqxY/uVQYST2ZwzlHyeDQdZO94oIsywXzUQPnA/4ateAs02CUoBp375Vzj1y79C8TnP4aK3/en6LzDCzC2EGKpwLAVdTneDUu+qS91+piWM6nDWVsthRKI0V84VOLnWYLkemX4B6bpSt5LI1BcPTHicq4asNDQXTQWGNJo609eikENTQUoMNI5fVtZh0vYdODJNL60wARO33MrqE2+E9RwlHIfpL9+2IcHKSdUhYfC8XosMuSrv2ayO4GQqeibKZpw6UWjdtQ+1LaOaLVLF9YwoPCi/rmWIvlGmytyDWBlbWs4VJEogUseCWJn19LA9mKIdtauzHDJkr+FIi0fsnkBjxsCcK6mFGTFeUY8SFuqKgmOlc4BZqwtgpRGbiCQdRNVEQS1JOLlWZ7UZD11XXDqTBzTlRg0hTBtYSslm5UbM5akAhGNb5D2LsMfOmmhFnAhsK5sbEkSqnlttRCwPsMsqbercsyWxUq1xIiMlNhLFe+44x74Jj+dePoubEkWlgHvSNZBnZ1HizEpzodrk4qk8dqponJVz9cmPgeoG66YkgSc/hvD9X2ClHlEs2a0xKUk0Ki0L2zLkZccSzM/l2GjFJIRg/1RAuRGzWo2whGD4LDYYzUhxJjLveKYcEriyJUwAsFSLqEdJV5tWGh5crTGfdwlsu/WbGYe6n6801CPdIllefvl1fNeR/8ZHH3wT/oTVeo8M2f1nbq/xqT8+Te7P5Kb8cWdm+lVMpwLjENtMTFSEkuew0oioxwkTnuyy6Vmpk5LQZl7r7Kq2BEsacruVGrqbPZ15oCOO0LiWIXNmfVQC0jL9KNGa2p/+Cclfvm1La2QtBM0wZlfR5dhSnT0TUxR8m+mcS6UaEjVjPMOuZb7gcWK1wVzeoRoqpDSVnXOslhJs0bP6nIQnPYeSZ3OmEjJf8Ci5Dok2jk9nqs2+cSew+9ennWcDg4rJloJEmwgFoke33aisd68pbjo4yUzO4UP3LHJw0mfCdwAz/zhILpnOsdIIWalHeI6k4Dhd5xuOJVLHNDOGm9/NvGeq1dh9TY83c+Sk71CPFDOBlb6HTvPdfo/MCS/LffT2vxtSc8MhgMm//XP0z/0cV8wWWnsFKUVrDdaIVB/RN/u3lToFxQrCtMxcyxCIw3ResWXb/q1pr82zNpytn6INvPwSDcv1iMCxmPLdVPHezImDTGVhontUtbePnCOZK3k7vq83KvZjO/MYY4wxxhhjjDHGtxJjgvAYY4wxxnc4hKAVsjYzZsTKKCQdnvI5MOFRbsZ89aRRMllrxExasNSICO122NDaJj24T5bbB3T3LdaxBMwXXAquhRTwwEZE4927gZ0h7V4IGAUauS45ODNodxqKBfSF+M1CUGZKgoEroUUiNqTizJg26EBjc9jcvYlWnK40WK3H7JvwW+Ewz98Tdw7nux2dfPuH4POf5OB/+8W+3zSw/IKXsvbGX+i/sQN3na2wXAt57MHpbx0BZxMYFuos67e21TbG1iPVUqBpxmoH2u6oEEznPZ5++Tzvv+P0ugTLhwocCc+7coZP3LdMdcSxN+9aFFyLs5WQ6ZxDrDRzeYejy/WBB6rw8BhbvxUYhVg/asvdCbLx5BZUPR5YqjH76Kdv6Xmv+5Ef7fp8vp0MtoIp32W5HnG2GnK22q/eBnDNfBFLij4izDCi32b7QyVMyCS7hqlRDsJ6z5FCIC3BRM5lIjf4mihJvmMJwr1oREkrnP160FnI2u8Q/PPLricENqLKNdMQC+97+SN57j9/7QLkbHvQGFW/3v47n/expFH5Pr66sSPjVmAJQTxkzRMmw/vjaEG+zyPE8NF72FikNMzk+ucdkXHX0kmy5FscnPT41AMrLVJRybM410GQ+PyfvYcnve45W97PTX7kfZx75A1Eu/cSJ5pLpgM+85Z38KSfeVlrXupMt/NtKz//n5l9xLXm+x4SgmuLLodCx5ItVS9o79XqkWKpXkm/bXLJdA7fHmxmzQ7tA0dSVZsbo/XaGkW/g3wsIA57CUOaMCUAJ6nymW9LmolCad1FKNDK5CNRuksVcD14tmQq7+Dasic8vSEtNKOEamj2po5lVHCb0eacL5QyJAcpoOjbuLZoKXfWQoWUtNQUO3Gu1iDntEmKVkpM6cJHPwtPfswmcgNTr3s9jmWIImuNwXUmpWSjCUQIo4yXqVVHiebkWoN9pQBHDh8FBpXdRqQSc6Mhx2UlMGzPOIg4u6+UG9lRa72rMmJ6PVLMFkx46jhRLNdioq9+mfD1P7Bu2mvvfz93PvGJXPnZz46Ul0HwUyetYZgInA5V6DZsS+AqsW7faJOV0s9CEjgCS0j2FwOKgY0lBR+75UTL7nXtrjxzeYdIK77n4kkcCY1pny+fWOP4ap3AsVhrJuQcyVRgU3AtfFvQiHVLlbsXWivuOFfp/vKdRhl47w88H3vhXFuxuVAk/6kvAqYdbVQ+iTIE+PW2mkJIDk/mqMUJvm11qQ+jDRFQa7M27bVpmXzolOhsfrMtQ1Yz82mmvK2HkpmtDhVgt8OukIkgCMzYZRRFu9PQQJAqavop0z8jLsn030Z9ev3+0NlfEq1R2iiFH1utt8r3TM89GhPhZaEWMpfz0rIUaK0ph8Oj+szkHObyHp5lYUnB1fMWida4luBsJSTvGbVcuxUpQA8k+1abCSvViKJvk2jNSi3GT8sicNafjeOkm6CW2XuOrzbQwPHVJn/1lZM849IZLpoMqCdJq156h8qCa7EWxviW1Rqnmn/wPzcmB7cfzp6f/CFqf/4PREqRdGz5svGnXI9a7WelHrN30scb4AiUvYsQZlyfzLlMBA71MCbRmnItIUzMPORbstXuvFRVWWPUX+OUnNxdZu0Ck6J//DDfCyZ8hweW6+wuekx4Npk3wGoj4uhKzMXTeZQ2bT1KTFsNHEE1jLjskc/i0kc+izf/2lOYekSd/Jxj1mUKFu6pc5HzVP76v/4lJ5cbPPmp1/GpT3xjtDIG3vb2j/GIvRPEiSmf4+U6e0oBcaIppNckCoqug2sLog6SYuBK6qEiSdcktpWRSOH06dM86VGXk8TdbfTFL3kl//OP/wwhBFaqmu/ZgiRtQK6dEfE1vi2QQpCceBA1v4tYG/vz0lvfgvMPf40MB9sBNsLiD/4Y1+2f4N6zVV74mH3kXAvfszi2WONFN+zl1iNLPOLAFIHrEivN2WoDENSihF0Fl0Sb/X82HLqWZCYnW3aGPUUfrY3C+VlCFqtN8rZtnD60iYLwzXNrXfNQb88UtImqQNd4bltw32K1KzLjdbtKqdOKIa02I9UXSUApzUWTPj/22P24lhk7Y90myRZcm6MrtRYJ1pZNDk4GBOnaN7PfJkrj2+Zz5tzm2RJLmLOjTueqeqS6nCuEMOvweoface8oHH7wfcOqbl1ITPl3Tu+BI5DKrD3rsUo9IUX6fqKlTN6MVUuNXWnIOaKlCN2pdu/ZRuU4TKOJkGiqp0/Di57ZUvgv+jlW/+7foFBgGPZPBEwHTroObmfasQS2lT6jgzAcp+vn7PNkziZJ9JaiJEpgtuSZNe4G2KwdME40vps6Mmw6Z2OMMcYYY4wxxhhj7ATGBOExxhhjjDG6IDr+cXy1ye6iw4nVJlO+zSc+dy+3P7DUuvbJ1+7m8KW7iNcLIzYiEg1nKyFnR7y+3EwIZ+dwF85t+9mjoPNIZstGDL3+gd4gQ7GGgYdTGZnStWSfUlWnwopRVNk6dWtUZQmtNc0k4eRao0vt4uEAgQkvulTbuoLZyHjCU3nwAzdvK4mzlZAPf/MMT7l0Ft/Z/lLu/NWT5usnVgf+0kzVzXrbtkoP7y4cObgNIQRPumSGU6sNzlWbQ5WmzxcKrtVlwN8IWkO4CaXVmZzD8dUGebdNctlI7Wlg5M0xgOEk4c2SZTfbygfNP3nPZibndJGXRkFhnQOJ9fDLv/KrXZ87iV1Kq64DFynEjob4HhVCCA5MBi3Fql5YUnDzsRXWwoTH7p9g0nPQmMO0U2v1lmKbFAJbSs5WGuuqoT+UsBlFqO8EXOi55OEAX2sWRxx9Qthw/fpQwrD2nyiY8o2K1YMrO08SjtdRIszZNjnHapEDu/K1xQ47m3eoNpPW4BsmCn8I4aUNQz7aiF84GdhEie4LfZtho/Vyr9LjjQdKNGPNWjNmLudwqhKmpCBDGDt+6fXsv/fWTZOENbDvrW9GOS7L+w7z9We/kmPXPwGcEvf+yQd55W/9GN6xo/2Ks7k8x//fx5jOOSx2kJX3FD12F1xWmzGrDd33rI2wu+itH1o7xcJv/eYIqfXj2Ne/Sf7SSwf+5g5YU4Mhi0zlbCrNuEt9uJNEYglaJEk1ZF1pS0M0CFyLQbWUKE0Up46rTqYLB45l9rGWMIQegFtvu41feuPrOfLAvWilKE5M8lM//2u87AdeiwZ8W1AKHPK+g1KK+xdreFLg2JI7z66xq+Ay7XotIuFCrdmlSGneqT+P+Xye6swMLC4OfMc+/NgbTN7l+opsSncTMrJ374QUUHS792zVMGGh2mRPMRia9qCnKr0x8VUBd57rVpDN1jT7J3xKnoNApCqkou+6Y+UaErOWksL87bQRCWBvMRhInOwk0whh2kPes5FSEicJy7V4Q3JwhvjBYxx57evY/+d/ThgnkEZMEGnaGxE3N1p+eoPknzHrBinFujG9zdq2/Xu+Y0++bypoERBv2FfiZNnYqzJV7UNTAZVmjBCCU4t1KqktZzJwWGsm1CJFLVJ8/sFVHrtvYt13GOaYAnDy7/699e9r50td7Skjzw5T5m1dk4oJDCqKII3+EymjpJsos44e1DRtaQ0fRwVdao2dqEdqXaXqeqTaBERliL5CmDrUqeJ45lw/+NkCTTcBeTvrxkRp7luqjux4ca4aotEsVCPyrsWBkk/Osdld9Di9ZojlgSMpuDaTvnHwrYQxi3GIawsmXJfdRZfFWsR8wWUq5+LZFolS6+6/VEp+7pwDm5mDiaJvTMtglLMNaR1okYoXayEfva9tJw4TzXvvWuCJhyZa9efbkrVm2/ZgC2PXSnTITM5hd8GMhfHf/dVIZQcpAfzeu5go+F1KzNmPQdoeOnFypUHBs5jMOy1Vbo2pu3LdlEfes/EdCwHkPOMQVfSNSnSWXjNKOLcW9hHPA6eb2Njbx5QGNaR9+OkYcXqtyem1Ztf+fnfBa9VJ1r4yQmWs2qPRr735U4Cxby5WI3KOxeWvyrfWAM1Y8Zdvv5mnPnqOE8c3JmI/7QVPYf+l17QjaWi4eCo/dNwIO5xDIHUQUApbmPFbpeq+Vx+ao1Eb7MT5r+/6R/71Xf/IOz/wGa6+/pEtAYHWWifNS/X7nk/1yH39CQQBbr2+NeXg9G/uR/8DU6tNHnV4mmLgUG7E7Jst8MRLZ3BtSeK5fOZ4mamCx8fvWmbvTI5YKSYDowgMpj4nfRvbEn3qwRO+w6TvIgVcNJmjHid0TjuC7nOAPaX+iDhmjdX9XTOJWW3EnBvgIJ1NW83U4cSS4Fmyqw0vN0JOrRnSr9PjbGVLwT2La11jfKw0R5ZrHJzMdc2DkUpoNBQlz229R6wUIl1vZg4aAEoLioFD0decKYemnmNDKM8UfPvWp5dfBV/7at87joKlepO8a+NbFp5jMZ+q5B5brnL3QgVHCi6aylHybcJYt/qzn4q0ZKhFOnW2U9RT0nNGdLalIHAlC3fcDS9/QV8e7EaNQy99Ghp48J0f7SMKB7Zkwhsc0cGQrtvlUXAtCoGdquJrfNdOFXoNG32tubGzdIaibzGRc3Cs82MIVkrTiBNKwoyr5+kxY4wxxhhjjDHGGGNsgDFBeIwxxhhjjC5kZgat4a6FGgW3QC1SuFJwLj1Qv2r/BLYleeb1+/j6kUXswMUt+ESWRFwgRtmDKw3+4Tf+jh9+w7MuyPMA3vPoF/GiL797W6rFvmPCXPbaU9c7nBmGjEy50TXnE1prQpVwcq25KYXEhwoKnkWS6D6D7UMdodJ85O5z3HhoivmCx3Z97zciNZrD7+5nxIlirWHKbSLn9v+uNCfLDXphCbh6vrju4du3itBV8l1KvssVAFoTJorVRsTpcoOjy+dHdRBgKrCphQklz6bc3JiYnHctPnH/8qbKKdEmfO39G6mzfxvgQina9pKEt/rcrOf0zi2D0hqcvuCR+yf56N2bd5i59PpHc++tXx75+omJwUSFLF/L9YjPdTgSXTKb46pd65MbzhdcaXUdsHfiy3ef5jk/+zLcNNz4GmnZH7qIk3/69guaz15sp+0qpTix3D/ujjFGhjs+9m5Oq2TkdqaB40nMXR96F1c88yXnM2vbxkbvpLRRF3+Q8zMPukNCuwohmC94HFnuP6CNlWY257CwAelWCqPaBYbUtlgNu9b4DyzXYYT3uma+yEZrRomgGm7dSaqXryYwpE/fNofBe4ouWmuOrDTIOZJvvOkPcP73m9n1+Y9tao+V6XvJKGTuyF089S9/m3sf/wy+9Io3Erg2K//3nRR6QjpnJJNBOLXW5LLZPIFjY8uwy+lmlDzlHGuoUmsXPv2xEVIbgHf+I/zyfxn825DHerZkMu+S92yOD5kbMrXdZqywJQM7kmfLFkmqF7Uw5sxqe57tjYTj2wKN4MzCMs+66TpWl5e67m+ePcOv/+JP8d9++Wf4/T/9G575vBdTBMAoFc7nXaMoqjQXTQZYUtKMFELAvYuVgUTZYZGL8x/+DNWnPxGWlgZfkOGVP0D+x39q/WtS2NIouaFJFR3Ne2etRwjwHQtbCq6eL7CUEtDCRJF3LKPynJKrR8VGCr+DdJuVNvu5M5UmgW13lFH3tbYF5Q0cCMEQ+wquxSXTBeIkaTkoCNHv8FwLEwq+UTWVb/r5DdPuROUjH+H4cn2g84dvD+9vjmRd24oUDFURBRPifr1w3es5dwwiHgeOZDqw2VVwKTh2S1ny7JohcQkGl/uwqs5Uah8YMK8MwqBk6mnfWc8OlShDikr61E6NHao3f/EQc9B6e6Rm6vg+6F0F69sFbEnLWT7R9OVzIwyLdtQJNx0YM5p853tn/UhpqIQRR1fqLVLnKPvCgme12nY1TIiVxrMtpn0XSwpW6hEHJgIsIQmTpKu+dxdc7ji3xmU6j5sSsBcrEdnoIzCKzJ0h78GM54Pq20vJb1FKrLYkXeQ0NyUjJmmf8FKlWK01n3twZeC45HQMxvVY8fmjq9ywr4hvSwq+3XLIXqpF7Mr7Zg7dSkiPj36A4LnPb60hlDbtwowR/eNEpbl+tJVMMb4U2MwUMmKm6CIbe47N/mkLpTRHF9vrryghVcU26p69Zd05rqR84BYZL1LdebWk4LpdJRKtkMih7cm1uve8AijXIzxbcnAywJayS30+TBQfuvkUr3jetXzjaw8OTNOy4Efe+Hpe+B9+k2Mrda7d5aC0mSMaG/SzjNgfKsV9ixXWwoTAlswVXBxLcuOheZrNjeKYwEuf/SQ++dV7ObB/L3aHI8Hq//4j+NM/WicDW1vnK62JgeQJT6Hg2uzdH3DV7hLHVmpcPJMnTBSTgcPXT5VxpUAJzVs+cg+uLXlm4DBb8kjSaIy1KKERK1xbDhxnokSnoglwz2KFZqLJOxaXTOdJNJypdJfPSi1m2m9H5zNtR6Qq8+360JqB5GDInBnbbSxRxnaQjRGJTlprlAdX6hQ9iz3FAFsIHEvyzYUyzVgzm3dSUQdJGBs1+hPlOifLITfsLeFakqMrNa6ZLxEm2qhGdyjRGuVd89xGrJnO2+RSRVlLhlgpETxJ38uxTN10wvrp/0Tyz/+wcaX2wg+ohAknyk0sAY/aN9lau2d9NVKaexarXD1X7FrXdyqB2xJsadTDw3SetEQnaV+zeuvt8Krhe+dsdDr00qdxtIckPOGPFiHMEjBVcFuq8X22SSE4NGMcuhpRQrWZtN5z/5SPY0mU1jQjRZQoSjmHrZwtjGoHNcrS7bZw4WUExhhjjDHGGGOMMcaAMUF4jDHGGGOMDmjdNh5/43SZuYLDcj0m71qcqYS88FnXoKsNclrxkicc5rI9JT5x+2le/XsfB2D/TI4br9lDbqaIGiEU0U5AYcIfnU/DQmbo+MiTXsrxZ7+UN/z3H2z9ttnnNiLdUmvJwrra1s6S2cJYYUlzwB9uQCDeCrTWJFqx2oxZqIYjhyEdNW0w5ZrfpKLqZpFzLBqR2tH8X2h88egyF8/kuHpXaWOZpC1Cac2DizV2l3ygHYq41oxbxkWlYDLvUmlE1JoJQhiFiF5IAdfuLg09PHxIQQhc22KuYDFX8LluzwSVZmzULlyLlVrIg8t1EqVaKiFbgSMF1dCE3vSc4Yo9vaiEm+vbAhOecjPY6PDnoYgLRQ7eyeduhWDc29sDx+K7Lp3ltlNlFtJDodl8z8HCgMT/7J0f4Lsvnxs5r7cdPc1iGkJzEE73OAWs1mNW6+3+0fmOWuuWOr/WKaFFGyJJorOwrVbXYcxmYZSBTbjXTPXOfcWLOHTiWFeeWjh6hEPPfhyLL38Nlde9YcP0bUu2Dq92Chsp4q2HQaGyxxijE5X/9zYsBPEmRiwLwa53/G94qBOERyD6xEqzu+BxutJPTLAEXDZbMCF1MQSKlXpEfkNl3o2RDCG8KA067bbXzBcGruUERq0y43Y0k4Rz21h3bIhtDCOTvo1rSxob5G+pnrSIu3uKLu//wV/iNZ//2Lb2c07Y4PKbP4y3ZzeffOpLaUQmIsWoTpgzeYcz1SYCQZiojjnUEKxWN/C9aMaKYBQLa2kSOLbRVf249PKhP4Vxv4otwFzRBQSObXFoJuDYYh0pzfuEiTak9kij0QSuRCuNkyrzZmm162Qwfbuxzl5NYwijC8tlnnTdIeJ4OPFUKcV//NEf4A/f9te84HtfZsK6K81KI8aSYAsLkDiWJIoVcaK5eKqAUooztaYhRDVjo/66zp5o9pOfZ+HEaXj+0yHuXhfL3bu5+HOfR2vNmdVmS33UtoYTH3vbVrYkyFR+tdb87qce4I03HeKimTxisU6nDGUjVmn48TTk9wDSZS9G2bs6liBOuqnCRqE0WD+ywyaWIJUwYaHWYLURs6foEzgW9gATUEb8AcHav7939AekaP79X+O+6jUDfhm8chZgVArXKSffsYaWg1mTZsrJg+jWhtyVqacCSAnTOadF0slQ8k2Uj+t354iVZrkeobTZY1XCmLPpmt2zZSuyS2AJiBMqjYjlRpOi67QUnQFilbDciCg3k5HawjAB3kyNc6N1Z+/vjjRFm2iT7yhWZL1gmJq5P2Qc9myBLQXNRKEG9DGd3tuM1UDnE8eSA20OoyLnWswXbUBQC2OasaLaSOhMsRllBP52BgLHeAIs1ULuX6oxFdgsp2TXlUbMTN4hTjSJ1n1EVEvAVM6hHilDVMX8bks4udZgMnAouDYTrsOk1yYErjS7x6tMPfpcpcm+Uq71vWsZp49MZTtRhuzrWoYk2rlVkMLUodLtejb7Mk01SphMCYlxYhw2HMu0fc+Wqdqp5ksnyxxd6Z8gb9xf7CbUWpJmovn8g2Wef+V0F/FbY9Y28uTxLYkxJJ/9NPVnPLerDDLy4XYsA83IjOHDnX8EUgrynqTabBMDLclA5wJbgkAQOBpo94msDbvSYsK3W2NBmDrHSCFb/WBYd532XTxLstqImM27uLLttJQo3acELoTkn99/B+eqDd7yGz/KJ973XpJY4QcOv/Tf/zff+6KXoxJFLTZrYa3NvCJg3T2EJc30VosSTpXrhMqMMZUwwapFfOkj/z4SOTjDUx91KXecrLB7wiVu1jl69bUj3Teoxk7FMdOWRCBwe+q0qhQ1rfmJpbMc/dd/4PY/+T/4lsC3bVZ8myPLNW48OMWptQZfPrbKp+84i2NLrj84SdGzeeeXT3Dpvgka6eAx6ds8/mAJpTSLjYSCI4m0GTtW6jFnKg1sCWeWQ5ppxVSjhFvPlNlb9JjNuewqekSJNuNcumaT6bSndKYwrFvjUZJomonp05YQfZFLTpTrHJrMdRH/s7FZa825akjOtVp5XGsmrDUr7Cq4XQTdciNGKU1Tar5yco3AkRRdi9vP1rjtTJXHHSyR61gMxIkRl8jgtpx7BI7U5FyLWjNmtR7j25Jqj52zNwBL4EhErkBlaO0PR+HzX+H0orkz0d3rqem8i7Vgvp/NO6yFUaulT3gOMo2mYMm201UzNGuETueU1r5jHXJwJwRw0UufxsLHbqGSkumnc+6G94Gx/XSuO3rtigKQUiIlOLaFCVphFJllqjIshSDwJMPjWWwe2Xxi9dimBG3nLBOhYgcfOsYYY4wxxhhjjDHGyBgThMcYY4wxxmghMxjWwoR/+cYZ1poJKzImSjf3tUiB63LlngLStrj91CpBweX3fuwJ/NzbPs/xxRrHP3UfV+6f4NHX7EUEHsqS2MKQ4Oqx2nELwIP7LuGiEwPCiu0QMgPLf3/pr5nPhQJ//Scf5DVveNamDdca+NqpMtfvKbaMu4J+g9l2kdoJcRz6lIq3A6U11SjmbKW5bljTDFGiDCFiUEFl1qohzDiNURmZDGziRO84UXgqsKk/zMnBGe5frLFUC7npohnkeSDmSyFwLcmpdZgR5YY5UGu2VB4EUQL7Sj4nOgiD1+8u9Rl4HzYQgkKHksNswWe24JMoxUfvObcpMv50zkEAa8246xC13IiZyTkspYcwg+BYgnMbKA0Ow2o95tKZgMVa1DrEXA/2OiFdH6q40D26dyjbblpbv15Q8BwKrsVCGi10uRatFx25hXd87SQvv2E/eoMD9nd87SRfOLK8qTwuVEM+ff+I4bwHYDKw2VfMbXzhEFhSUvIc7kkLZc/rXoJz8jiw/uHzzD//NbpYovqy9cNgFz2Lgme12oDW5r9mrPAdyVJPX82lh7vD6qXk29tsTIL9Uz6nVxsDQzyPMcZVAr6+yUam0By2BJvr/Rceo85Yu4o+pytGOUoD1+0qAUZJS9NWzLOFZDbnkXOk2QONkAM3Jc/0lnDBdbh6rl8NKptD9uQDlO5W9uq8Zit+ElfMFroUu9JIs11wLcnzr9nd9Z1SmkTDx+45O1C5sehZJuqBbxMrE5p9MnBQ2oTfXh1BfbSzhE6thXg7tN6wmg0O/MvfYj3h+WgBa80EW7BuiHrHEhRdm0oz7gq33om9Ra/VTjJkpO/7lms0Y8XptSYTntNFJJJCIIXuqlX5a/8V9crNk+3zL/3+dX8fxIc8U25Q9B0mcg5SSg7O5jhbNlFfLEGL3AhtFU4wZOOMFOs7xuG0M7R6V748G9uSKKVZHrI+fckzblqXHNyJn/6x1/DcF34fiZYthdTZvMN8zupSvmyVsxB9c+16rUkD+fl5+OKtre+kMCQG37FwbclaPUKkxDmBIYltFuZ+wbvvPIdnSyqNmHI9wrdFqrLbTY4LE42ltFGfTZ2molgP7PsbrTsNGUzguhLPMsSQhWrE3pKPtcN7xdVGTCVMOLnW4KKJHPaARlJtxhSD0cgugxC9/R8GE4SHVLTvyo72PBgFf/hxSDY+NVIVzEQNrodO0vhE4Ax8xwcWa1y/K9/6nHMNaW8653BipU5eGDXgQAjiKKbSiDiy2mCxGnHlrgIny020bvCNMzUWaxGOJTg8FXDTwUnm8wFaa8phxPEB+3RHCiYCe+ie0krj2YeJJu8akuggEm/vPGBb7X64Z9IH4MRyjSgxartKJ31r0F6bi58STGuRIulRuO1FI1J9od2lMM/qzG8vAXIjCGCpGgOCiZypv7xSJEmTMFEkChwbBgnq1yOF0ppK+mPnvjpRujWXzOadLoJwwZEkMDB6VdEzJONa1ASazOYc5vNeK0LbbOC2nIPMfs+ksdKImQxiAtuQ3i3Zr+KdKKinc5Yj24Xk2Wac7azjWhRzotwgTBSP2O206i6rI0M+NHV3rFzni8dW+97lyrkcuVRJ27MlhydzBLbgwdUGZ9dCtO4mL04GNmcqTeoh7O8v7g2hc8WOdzJlYJLfhtNl6lgaxmpdtXGA+ZJPPUyoNmNqYYItBcIRqbCCaROZGEeslFGel/SpO2tgNue21lGrzZi9JbNSrEcK1xaEQ1TNhRAUXIdJ3yZOlYiDtA6SlAxoC9K6M2kopRBC8Iqf/WNe8bN/TLmZ0IwVTzo4xafuX2YisLl8Os++UsCJcoP5vNc6G+iELeFUpcF04LLWSHhwpa3g61kC35aEieKiyTzP/MnXjVgDbVQqFU4u1ak//SmbvjfD6TDkhUtn2G/ZfH+uwPODPDkh0MDROOKvq2t8tFGnmbaZ73rkZXztm0eItWZPKpRw66ky9y7WKDgWz75+D0fWQqoaqo2Ex18xz/Fym/i80og5V4sopQ4y9TRSQDNWLYXhlUbU6gd7Sx55x6j7512bZqyJE0Moz5ylw9isJ1272xGjs79HCXzgbhMlIbAFT7po0iixK81qI+bISo0DpW7bSqIUJyuNLhX72bzLQjWk4Fks1kJiZdbSs3m3tZl4523n0jZrt0i9l80E5GyJZ4uhtvZWGxbmvKIzwoUljBNK71RkiUzN3dynAX7m5+AtvzfwGcOgtYn8kKHT3jmb99g74XNmrclyLWJBR8zlXfZN+MylUftqYUwjVDRio7YuBuyt6pEi/B9v3lS+AOr3381VNzwCyejrtCjRA50YdM/fbojz7lTeSQxOlGm3idJUm3GqUjxWDx5jjDHGGGOMMcb4VmJMEB5jjDHGGKOFzH7TjGPytlHPWmsmCAyhMmrGHF+qccwzvx0ouXz4jrN85p5FHnPZHLfcY8Kbf/P4Kt88voptCQ7vKpIkmgMHZ6hpc4gQxoo9c0Wa6QMLtkACq5EaLTRrBz7xq3/CD7/hWVtSmhiEXgOKBv779/86Z3ZfCsBdpys8dTIgtl2ceHT1rizdzxxd4TNHV6Bc5hW/+WP4ZUO3aPnQP+V7yP3BH2/nFQBjiN8J9U+lNbU4ZrUR9R2+boSzlZCzQxTEOpUxhiFRmpV6zMQ6B3ibwXRqiFprxiORIx9OWKnHfOiuMzz1kjkCd/PltdHRSeAOD8mcofP3RGkcacICX7uniEBwrhLSiNTISm4PF1hS8vTL5/nUvee6iOw5R3L17hK3HFvpu0drWuH7ehEm5tBoWDhV15J86cHN07Q8WxJruDcNgdmpdDQMDxej7U4RdDf7rBYp9AI9exT4W1S6/OevHOf06dP8zPMei0o6GA9C8Bt/+S9c9agbdyiHm8NKPebQxPrEgY3gSou9JY9Tp5ZwRyAHZ/U6+xdv3ZAgXAsV1SgZmF4tSlrOABpz0LxSj7GlpOjKVljdDLN5h4VqtG7Y6lHg2Bb7p3McWRgt7PTDEZ5t1G6+neaSC4G8JVh61uso/tWvs7QJxb2ilOx+3LNGIgi79s47Ko2MEfcQcaK5dlfJqEyKjceXUXtkMzZrnEHqicOUKrNvNWx6D7QRhOjJ+8AXEfSOiFKafdmj9k5w9plPgxPH+26f6Lh7Ajj+8h+C170RMOuNzaKZaGLHw4lGV5UbCgEXf+kTiCu/HxDEHQzrq+fzOJaZJxOlmOtQ6JrDHbgPFBhyS68vZ0baykrwspl8/wG91n2k3eCKq6lu6wUHw7Sx7oclCsr1mJxrYVuSRpQQjhDGQ2nQSTuEdaQ0Dy7U2JuGI16tR6ieFxum4lmpVDh29P5Nvctv/rf/ws//lzcjhFEePLMWkihtyHJ9xIkB/W094sOAfpCkCoeWFJwrNwhjbcLAR4qtzDKCVHlYCl581S7KjYiPP7DM4w9OMOE5WKJ7PWmljcizZSs8dYbA6SYTZ68wTCA30Yojy7UWiatKwp6ix/W7S0gJ0QZb4M4kpwITRrxXhbA7f4aUKCV4jqTg2/iJIow1Smsmcw45b5t7+U2oTYJxuNTaqJuGieLQVMBtpysUPYsp3+HkWoODM8O18rJlmC0NiWYicGjEJjS30kZxMUkUYPa7zVixWAmpNGIWqyGXzufJe8bucP3eEnM5G0tKPFtSrkdUmoqlWsi9Zyp84q4FDs/kiBKF71jce67Kvkmf6/b5LKcEUAEspnaYONGUm0Z5uODaCCGY8FwKsza1OGGpFjKdc8k7djrHiVSxT7QU/TIn9Wy4Chyj2GjJtvJ1L4q+GTdtSzIROD3TrWD/dJtwlijNg4t1uq/oK+UWSdG2hhPJ+iolhWOJLluXJUy/d4QYmP9BOtAZsWspLeeJnMNaI+5yCBpEDu58p2G2rgyn10KOl0MKrsS3rVb0s0Ho7fsLtYhmotiV9zhdbeJ1qET6dnekrSPLNWwpuGK2uGE0hXqs0vHO1HWvA42XkjkBluohJa/buSmz+eRcybEBysFzeYfVtQau1hyYCTgwkcN3LBbrEXeerTGTc9BaU0ijhRVci3IjpujZJKXpdfM+DPL7XtqRv/bufD1ldlsKrHSOa8aqRRq0U5XcemRIgGuNuI8grJQhBzaipLW+C1yLicDFtSJWavG6ZPVYaeJUsd+M8e26nwgcPEvQTDQXT+W65rwoNvdIMVihGCBR7fpUmj4bnmtBpBLOVUPWmjG2FJwohyituW+xjgbuW6yT9yxW6jG1gwmXzuR4xzdO81M3HcJNSehKG7X+KFHcerpMzrVYrBpl1qJnsZYS45uJxhKaK+YKWxZnePEjL+HdW2wbGV6zbM4qjicxv7e2wu+trWABw2a3c2fPUAxcas0QrSWOhIMTPhLNcs7hzoUal80ECGGiTjy43N0X5gsuRUcyHTg0YkU9TlrDmGsJcq7T5ShQ8hysdF05aD2XwZLDSeIABdfmcQcmuPXUGvVY8eF7l/FswTMunaYaJlSaMVKacSjRmrOVBsfLjb7+sVANmfBtalHCpO+w2ogIE92KVAXwvCtnuPV0hQMTPiXPjG9u1KT4upfgnTzepfCrLIsv/PLvU7nqEdx0cIIJ30alVFjXslp7p0SDY0ukbEeDyCIvdvaTwJHwmh+h+vZ/hNMnh5ZHJ/JfuRNbwuGpPMfLNZbrMU7HuGrOHyI8W7LWTHCkMEq+WuDZFmGiaKbjApA60w22k0dv//uR8pRBA3t/9NXc+f4vcO2uImgx0v6z6FkD948X0j7KOs+KE7M+qqXzlWsLJvNm7zUOfDXGGGOMMcYYY4zxrcOYIDzGGGOMMUYL2UHTVM7j2vkCv/2Bu5gruqylRM7MCH/vmQqX7cqDNqpBjoR7T/YrR8SJ5p6TZQAmCx7VwKd82piJtIZDu4vUYk2lEvLlo8vMFV2uPThFeR2D1yAkwPaD/7ZhTMqCE7/5FlavuoEzn3ig6/evHV3hK//hj/nNP/7RTaUbz8wA8Lzf/inmHrwb6D8s0Z/6GNUbrsJ+8+/gPfcFW32FPmNLZhzfLJmmESseWNp5ktFmangnDEcTvr1pgvPDDbGCj95zjsccmGR3yWcn6Z2utTHZo1qtwnveBY4Hz3k+s5NFokRzajXEs82hpC0HH9o93CGF4Lsum/v/2XvvOMuystz/u9bOJ1WdCl3VeXpyjsCQkZzFBComlCsqIqgo/vCCEb1iQvEKiqIioCJBuARBJQ1xmAAzTJ7pmencXV25Ttpx/f5Ye598qk5Vdw8zw3k+n5muc84Oa6+9wrve9bzP27PhOihl62ojbJIBu1HxtSpfnbgvyagaxBiGIFln1+nC6Rx3HVriOZfO4qfEil0lh10lm2qQcHjVHyo9eXdKuO9GdDvXu8nB2d90HdOv5rLvz6SzfmkA8XwYzM7O8oGbNk57LlJiy0MlwH5ktc72YovIoZr/G4zun8cdG/kTek4dplVn7yn/wfetSxK+9XiFNT/m7EmPom30zFf95p0IRdhIGHNN6mHcVKbr19+3isYjVqp9fXiWIE46N/+zKt9WcnDTFKULlUArMm7SnnwkY9gnfeC8p/A8J8eH6xWGoVw5CL7XzXPnT//aUNdPTpHgfirYzIyVpZAfquKGvLBrPnSk9YzIkvQhoG4Ggx6tcuwYc4+7tu+xit51195//2f493+mXhpj5SP/w2ROEws3kwHk/X/wL7ziDZtX1u2G5Te46L6bWFM/3POAppBNJTYQmHK4FaQhOkkk24o2tSCm4sdNIvaDyzV2jnm4RuuatSjCEBJLyk5izNOeAV/83NDP5LzmdUMfC3rtFCYJ9y1WuWCqQMWPWK5tLjhSodcWQqSkQrTKm5TQjwvsmP1b05t+7Zc2dV+A9//j3/Jrb35LR9uer4as1CN2jXsUbVMrfitNluxGRirRCp9hapdr0tfJWkwjSijYhibthDFBpJjMW0xiI1OCTpTofmaKrc/PGQlszDN5xtnlJnE5UTqYIiOVSKlV/7oJgrahycHd6qmDgi2VUizVwx6FRycluA8zPAsBkzlNAJ2vhhQdg6JjoJQmAAsEy/WwSbqb9OymKnGSKFzL4Hgtaq6BdMDjqa0nxPS2TR3/TzcdwY8VBVvys9fuwTQlH71jjn0THnMVnyfuLa+rpDxZsDGE6EjdXcBioqCoNiL8KKaRmnf3/tgPsf2O2wCooUlX9ynF2gtfyJPf9becN5Wn2gjxbJO1RitDzBcfmKecM/mZp+3jyEKNz9x2ggtnCwAcWW5wZLnBzrKLIQSWKTl7wkMIvSa/c67KLcfW2DfuNYlBhpRsy5sU7V6lekN2qoU3v0+yNqbbUpzAoDjDomttoKKq+1fVjzix6qfEKUGSKLqTiBkSGpGi5BokiqGz8NiG0EE9sVZj9SxJECXYaWB8HCtCdH/R3jzRVM6XQj9bewBuuyL5YjVksRpiG6nfzBBa8TVKUEI0SbTdRFPHkPjrZAJrRIoHFjvVVJ+6b7w/UbJPN6kFCUtGSCOMm0rEZc9iqRY068S1DKp+xGTOxpSkxM3WOk3PX6qZsUwhWKz5WIZkvhowkbMoezYSTUhb9Vtrl0MrdS6btXrGfM/SwQzX7honTBTfTn28edvglvsXOJYSh3/tOeeRm5JUgoiDyzUet7uUjg0KhaDoGISxouho8QBTCpJ8EVldG37UkBLv/PPTQAUd2JHVbhCrZoCQ16Ys7qVjqm56+veWUnLnu6kFEat1Sd42CBNFpRHhp+us/gFhekwfyDxtQxhr9WbPloRRkpZfccF0UQfcGxKlVDOQLZsLFHp+6rYBu+eGLHAt+861BCuNiPsWWmFKQsA9aVDpuZMecaKIlOLYik+i4EsPLvOVB5c5fzpPGCndr1WWGUGvYXOWXgNn1RFESYevK1YgNzEP5IXg+70CP5wvMC2NTeipDsai6u2nG72iF/3wy/m1338b00WX7UUHlSjytsFaEHPRdI775uskKsE0dABIPX1RArhsNo8jBYv1kG0FuyPQZrkRMd4lgiHapsooUZhC213ZOOWYAj/SfXsja+6xO8eYzFl86u55QK+b70kJzZUg5oHFatM+F8BUwUYpmqTvjASsbRPFfC3ElDpLSnubrwYxV2wvUPVjpIDC+99N/h/+Buj1h8k45ol/8DoauSIH/v2/WKhJxj0TzzKYcDvfsECPnest0uphQs6SGP/5WVZf92q47vPr1kn+5jvTutWfd4/l2FZICKOYxTSrzH2LVRpRwlTOpuRYzawgYaw4sdqgFiTMlBxmxgzqQcTJtWBDEY3NQCrFpTNFJAK9PNH31orjej+n/T8phc460QffSQ9IFCdU/Qg7JU/nHYOSZzaV1DOMXM0jjDDCCCOMMMII3zmMCMIjjDDCCCM0YQhQqWPveZfMsK3k8JZP3NmjRFuoHOcX3v4bWCpzMsOh7efymitfRaNrI/iCnWPs3TEGQlCrRWSuxAcXahxaqnP2VJ5757RD+eRawLceWOTKfRObIgm/9x2f4RWvfu4pPHknBHDwfZ+AqSlKSjFdsDvIdCv1EEx3IDlsEG5518d4wa++kumD92x4TvSmN8B4GeeJT950+c10ww5apG9DCsIh1OKqb/p1uO6L+sNznofzm78z1D3tr3yRyXe/HXyf4JzzWPiVN0N5sMpDnCjGXbODMBcr1ZGCMcOpKqq5pqT+KCVL9cONh5Y5q+xx6faxgYp0SmnFE9s0miTQRCXphnqv+tnKOkqz1Z9+Odzyzc4v//B3mAfcpz6Vsb/5e244tMS2vM14zsYS8mGluHr6IHqcnP3UigDGc9ZABRVF1l/XqaUNKnAiZ/HiK3dQtA2UANcQfOXAKpUgZjpvUQ+TDlUbKdrIUrR///D32j7U6hgZ+pGGB/3e/b3o+ncYDCIqd8M6w55215TsK+dAwT2L1YEk+NOJ+VrILcerzc3LreIVtc1rNk6++6+ov/TH+eP/1EE9lgTDkFiGwBCSJ128jeVGxM1H1tg95nLupDvUdROl03Jn6ZCloJnW83TUaM422DuV2/jAM4VNPET3oceX6z0b7p4lCWPVo6LYfr4QesyyDfmQkdcfThim53/vJTM8/4Ip7vmTHB9vVPGHYIvZAp7meNwwZDkuSwlOjyoM2Z7WU/wa7vzhAi8cw+CCKZ1OuxqGPLhUH3jcRmptg35/sIsc3I5BbU0B3uoK1rMey5FPX89kzupUtW9jC+RtQ6cp7rjAeFNd8VRnMidosHYabRghBK4lCFJy2FItJIwVjikp2Cb1MKARJVSCCNcz2Fa0EQJuPLzcHNu35W22lzyUUuTf9tdUn/IYqA4xL03PUvy5Vw8kn2dp0I2UnWMagmoQct+CnjO/fXyNi6YLTcXj5nkS4iGWR4lSzTTl9TDpSw4GHZDh9SEq3H3n7RvfpAu+r8llSVd/ChPF0ZUGfqyDbDxL9lVRXG6E5FMCcLvaXTtWuzLZzFUCFqoBjmmwdzzXVEZ0+zyTFJrgG0RJGjQlmgTIbBTozAQisAyDnK1JdVJ2qjpKIbCk6kipLaCZUSDLwJKkaaTDAYQUIQSNKE1vL7Qq673zNQq2SX7cIlGDycUZEtVSqwWaKpBAB+E/SlNGn6g22F5IiaoCTqz4HbbhWkr6U2gCMYUCVNp1BTeG9ed/1f95Bxz/sstnee8c6IJDAAEAAElEQVQ3j1EJEu45WUUIxZ5xl8PLdcIEbji0wrPPnxpIEh6UjUcKQdGz8GLJgdvuwH7pS9ielaVtvJHA2Kc+xS2793De3XdRyOXww5ixnE0QxyQEvOiiGVb9iHqo2/KOkoMvJOfvHGsGq1sGfO3gCtW297WjpMfNI6s+K42IcU8Tgm1DDCQqDaqnfscLUmVGFAjRJFQOo4KvAMcyKDgGFT9uBmlZaaB6de4EvPhZEOr21Rz9JieZ+sJXm8THflB0EtPilPjZrz23fJet4zM7MlMNzvpihiwzRSNMsE2az609I532pyZzavLm3rLHvQvVgeT7nqApoRV8x12TaqCDgneXPO6aW+s7H8dKsVALmcrbzbFMCO1LAFiuh1T8iIJjkrcNTcZGP1+U6PuHsVbzroYxa35EECfUw4SSYxImihOVgBOVAClgwrOY7wpuPLhcY1eptaYwZCsI2pCCJ+wa4665KolSLC/XOLbc4JzpPM+9bIZIwLeOryFUQiNSjDsGc7WQ6x5c4clnjeNHCU6bgvS4Z3H8d/+Enb/28/0rtA/Mn35Vi+jb1iZMQzQDgmRKrt826SCF4NhyY2hrLU5goRKwIjuVrk3Zuz4XQvtihwkqyVmSWpggAT9IcNrasuZyi9TO0PftbuvdGQoGje31UKtESwG1IKYWRkzlLWpBQi7NEnbOpEcQJ81MU+24ZmeRmYLNF+9fIlGKIFLEKusfmrh4VjnH/sVq0471Y0VQDZv9DVKl8CFsjh/w8vxqaRwbcdoza2wWN3z+M9xyz2F+9KkXa9vNMWjECWXPJIgVs3mTT9xynInJAjN5i11jDodWGlyxvUiSKOrpCzpZCTrU2aXQa/VEKVbTOXYlCCm7DqDtB21ztlRzpRAIVNPW2whTuc5gkXvm6xxeanDHgUUu3VminLN5yvmTuKbBXCVgLYioRwrHEORtg4JjclY5x0ou5P6FKlFKji65kkojYiLvMJmzmsTvxsc+iv8PfzMwUD77zq2tcc7Ln0/945+jEcVsL/T6TtbzL1mGwDK0TaFS/v/4X70TUwrmv/RFePWrWgfPznLB177K4aXekNg40UGDYaSop1LxZcdmR9HtCajxrFZwQcWPyDkmOcdil2WyWg82HYDXD825VAlitH0+5hmU8/bpzzDD6fafKpJEpVlKdBv1LAPLlHgDMkhIMXTinxFGGGGEEUYYYYQRzgBGBOERRhhhhBGa0A5NIIEYwdV7ynz4F57AJ249yqdvP0EjjHndm36ww+GT/b3n2H38v2Nv4Mjkbv7l596Kn+iI91qYcKCedB2tESeqSQ7OsFQL+dKdczz1wm2sbFKtZ5AzajPInCV7fvyFHPz09Sgh+OmnnkUt3UQUQnDH0RU+e+c8r33de/mrv/yJde+bPcHii3+I/Q+e4JoDdw9dxug1P4uTRroPC9vQjuRMVUIrWAiiJCGK9Xf9Nh+qj78Cgq4N1I98EP8jH2QPnc+X2A6H3vk+2LmH2Z/8fpy5zpRe9sJJCj/6fBRw/LfeSvDE7+m9Xx9FMcsQjLlaPaQdp/JOtTP80alaux4eXKqz2og4J013nHfMVD1Kb+ZKKTi+4iPQSiRSCgyhN96jOKHkWSSJVqiIE4WUWhkvVvpzoqBaqcBTH7tuORrXXUfj0guZ+MJNTOScXgW171IsVEPK6YauIcC1DAQ002w2wmRdla+NUoe6hqTsWZy3Lc/dc1WOV8Lmpv5CLeQJe8awU8d6GCutiqRgNYy592StuVGxVWQKsx1OX6X/F8XtG1vZCQM2EsRGJGXVDDo5lbIO/A2hyRmqs4yn6qRXbf/2u9Kp9JAzrfrciBLmqj6zBY+zyzkOrdSxDdlXwW89THoW0wWHu05uTBIRwOWz+VMmCGfX2jSShN94wfn83//ZTzWICZMkVY7r6idbuHhm5nQMi6dliOwNWHhIcSr3biNZebZWyhpKlTWtN8uUzJYc5tb8M04Ulmilxbbb9y9a24+KlnqOHl5aKncZeuxs0f59+n/ReWwtiBFtqm89wy+w6kc4pmTff32dP3r2tfzG8jw1pehXuxLICcGfjk9hv+8/edLsWO9zNf8vms80nTexTYno5Ma1zknngh1tZJPT2VSHyXiwWQw75MdKDUzPPgwMuX52gH7oN0fuGfdSlfeNrxX2UT68/bLLN1WGDFlJTGD6Fd/HyX/66KavcejT17Pnedd2XG+zSBBEE1N9f9uoRkzZfx41hKCWEo4yyrMmvcFswWUiZ9MIY3aNuxRdG9PQtLL2K81VA+aqAZ4pNen0U9fh/uQPYB84AAx43sc8hvy73ttbHgnHKw1MIfW/UnDeZJ67TlYQQDtndsw1e8jBMDyhPU6gnrTIcusR+MJY9dj5W7HTBLp+o3RIK3sm464mRhYcExQcXasTxgpD6mPbCblKweGVBnlLdhCUNkKsoBbGHK80SJSiFsRsLznkLbOpLCzoVB4dRoo80VxL/DDBNjWhqp2cGMUpocIUJOg6lEIT0nO2Qb1tHvQsQaR0GdqbqkJfP0ng8/cv0T4MPevc/v2hHzYjAq+ApXqEFA12FD3ipHfcCWPF3Jr2MRgCnD/+S/xXv3L4m5gm1vTM8McD445F3pJUw4RP3nWy5/flRsS3jq5yza7xvudv1DMq1Rr2S1+ij+2X2jv9TirFfRdcwOWHDmn1ZaWQCFzTQDngGQYIxc6iw1cbEceWGh1rsIxA2I6TlYDdYw5SCtaCiO0lh0aYrEtINA05VKA4QBAnZNOCZbT6VvewmNVR910N2UvqC2PF8vOeAccGpIFfWGD+sgsQL/4+yn/wVpRSpzWrRjuy5lkPki6/WEtJ2U+DHZRSIHrVlzOiWJQo8pbJhVNF1oKw6X9TCg4ua6Jl3NUf/Ejx5QdXMIQOqLpitkSUwFU7x1nzQ+6e7x800h7sLoQOcGgf8+pBjFM0MATN4ID24AkpJEXLbJLS+yFR9LUHnTa7KpvZ2t+PZUhytoQo4RuHVgB49iXb2FV2uW+hwbG1OnvGXW45tsZZ4y73piTU1UaMZ0nyTivTVxwnXPisp+G/+HsJPv7/+pazHeL8C3F+8XVddZXgWVp93TEFnm2Qs80OBewgTrAM0fRrbQTXEgg6/ahR0kvKNaUYOng2u1ZCSsoX/X21kq45J4VlSOKopYhcDxNcU6LQz9TePoJYYRmC4xWf5XrY7LeZqq1jCPYvtEiUO0o2swWbo2sBJccgjBOecU6ZY5UGpiE6xDMunSmBgoumiwSxnvGX/YC5io8UOjjg3Mk8EjEw00CGH84VeE1hDKePzfKdQBRF3PXt/Xxh5zaeeNYUSRq2tFyP8aOY6+6e54H5Gvu2FVhJMwrtm3ApOSaVIMKPFKbUdlTJNZFBTM6SLNVCxhyLnGWy6us+r1TLfx/ECr9r3MlcUpkAgWNKmjEuqR2ilPbvacV0i++9cJovPrjU9K+PuQa/8LSz+fyDy9g5m5uPVnnmORPsmzB55/WHiRKFJQU/cuV2rtyp133bxzwu2FZksRZw38kKtTDm0h1jzJY8UIrjKw2kEKz89huBjW13AZiryyzeeS/2OWc3LeVEKcIkYakesFALuWCqgNkVxONaEj9MugKwdFtXSlF+0lMxvn03CB3UvtaIObzkY5sClWZskqKlImwbmnSdebEytWDb0GOcZ8lmQEWGqh+TrX0NKSjnHYqOxWItSH/bGvr5BS1jfZK8UjroJYgT9s9X2VvOkbeNgXZ397zdHuCz5XIrxVo9xLUNXMvAszvLLEVLKTirdyl00P0II4wwwggjjDDCCN85jAjCI4wwwggjdEAIvRkgEwgT7SR58RU7edHlO7h9z97+56T/KmDnwiF+8q9ex1t+5s+3XIYoUdx/Yo3JqeFVyELLxgr7KwRtFt3ulESB2xb5fP5skc/eqdN1/dLr3svb//In1r3ewk/8HJUf+xl+4OUv3HRZ/G/dhHPlNUMdaxndahWKIAZihVIJQmjVw26nc/Xqi9a9rqArPVjgs/eVL+05ph+2/95vsPzSH2fllRunlw1jheX0XmmhFuJakoJtsFwLGVZc2pSaKLKZ9MaPJizWQ+yVOmeVc8yt9k8krtAbebYpMSVUKiECWKi0SEZOWwrcDNXjx+EFTx+uIElC4dmPR3ztW9915GApBOdO5QHtzI8TxYNpmtGletgkxGeE+cmcRRAn1Pq0WdeUQ5M/bzyyStEt87l7FwC9IXFW2WUyZ1G0jQ5iWZYyFQEl2+CqHYWUrqbd1Iv1EIVizDEQQvQ4kJub6G0/HFtr9CWMnj+VZ6UeNzftNoJpwC3HVod65m6UPYulerjuMaaAC6ZLfX/bMe7iWAZrdZ1yNoNnSWbHvS2VqR9Od49o76lnqrct1EJMKZktOjxmdxkFfOWBhU1dYyrvYBuSS2eKWsFNgR/HzbaUKMX+xSoXTBeQaWLRS2by3H5i8yrAALv+52NbOg8gCBNMKXn9887nS/cvUq0GfOOBpZ7jRiIopwemFBiWVnHrTrfeD4bQpOBaGOv025aBHw9WoTudSOhUWvxOwhBw44O97bIdBdfEk4JLzypz7jvfw9/+4iv45+oan2/UsYRoqreGSvF01+MV+SLWb74VtXP7OlftbPlrfgwbbJAK4EwIDUvBcGTyTSI35C6mn6bDHVYJ+HTAMQzOn8qjgJxpgGgp5m21DGp5+ZTLlTt+bMvnHvz09ex+/uORXcSqYcfYxHFoPOdFuIZAtTH9FLqfNDfIVe88aRn9FfjslFcU9SElmFJgCknBlniWhbkBSb0eJc001PztvwNQ/Os/YfwTH0YohRKC+s/8PPMvfQUA5ycJeSGbCpiJUizVQ+baCDpBrLh9rn/ATSNKsA2apL/sEQzZSdYR6bGDMFS77vOSLr7sCu6+49sbnNgJ1/MIY0XBMbhie6lDdTBJNCGhFsYb9nfPMtg7nmc10PVVsA2KrolrGByvaFJLpjK55kfNdcpSPSRvGZQ9iyhWRKbClZqYLRBNVWUBPQTOfvCjpKlYGkcKabbCPTIxwDhWJMTc2fYeJ3MWs8LrIANnNvwgtdgdRRfbkMwULRwjI0gngIEfx/hxjCXlwAC8QdlP1kPRMfv2p27ECszHPxF/cgoW5oe6tv33/7zOr6q1junC43aNUYsSwjghVq3AnChRWilzvsrls0Us0+g5t/s5wihpEp8FcNfll5Fn44BBkbLTb929h9xLXsLMn/wpR5cbSCmYLFiUXJN7TlaIlc72MpWzGfc0WVwpRc6UTBdtkkQH+CxUQ2xTsFiLmM5bFBzJYj3ANiRGH0KdkfpCFGl7FSLNItTfRpKik+DYDCLVD9N8/n7E4AxxolIfTCtovfrCZw0mB7dBffyjLI6Xyf/KG5oq3Zka8OmeUh1L0AhVqizbG0zePra4liBOx532wwyp1ytSCMacliK+UnpeGHNNlhv97aG8bZCoFmEqVgopJBdNF2lEMfUo5vhay38TJaoZVLxQ7bU7E2CpETDt2Tr1fJcqeZwkHFypNwmh0L9OF2shk3mr4x7tpP8+3QUhBOeVPT5y02FmSg5X7hrj/JkCy/WQsmtQtF1uO17hitkCjTjhrLKLa0qOVzSJ9HvOLnc8px/FlP7wTwh27mT1b97Zt5wCkE9/Jt6f/d9+1dv0MyglGM91K3Dq8SCMFa6p/ae2ocmW/dYdnq3VQ2VKuzPaSLxZ3WQK1EKAki1DY705yjS03a0ShULRCPS1uknH9VihkgSRXt9tky52TNFBBG9XqLW7fMMHlmsDfSNnlV2KjslU3tIBmqZksR5S9kwSBeOeqdWq+/iohNAZjLI7KTRhXd9bNe+9s5gDFIZhEPdJX7DDMHhNcQz3NJOD+xEvh8Wecy/EndlOLUg4uFJltuCQs00OLze47q458pbkuZfPsuAnPPu8cba99HnIlUUAnKltLP3bJ5BCECdJ02arBXGa+UFgS8HZEzkMIWjEcbNd6UxF0IhabQL0+46TzoyBvU/bwvlTOc6e8Hj3TUdY82OetG+C2YLLuduKHF6p8/VDKxxYrnH/UoMoUTx21xjfd+lMZ/YPdB+fzDtM5h1UOuYp9LsveRZf+df/x3orxX7Y/dqfZO6TX2bVD0nQSubt5PoVP2TSc5qfN8p+AKnKfNrm60HStJuCSDXnriyTQhC1AmtcU2doCGKlA51Q5G1Jtc94sH3cobtFmaZkW8mlEcQsVn3dJ/P54bKEpBAAT35q7/MA7a1YKf0sh5Zr3HK000+6f77KtXvLTHepMg8iAqshjukPLfqgAEtKSrnOjDB6nEzXXG1VZUq99hopB48wwggjjDDCCCN85zEiCI8wwggjjNAXhmxtWEUJ3H7Wvg3PyZwuM2snmTl+Hydmz93SvaeLNtu3FRiCF9LE+//gX3nFG37wtKgIZ5j9uR/l+N/+a8/33Rtqr33de/nf37OLbT/0LESbs7O+ay+qNEZ1524AzMXhNsLaEb3m5xj7+k340frbdYboVBXtdqCtBhFzFZ894x6O0Zr+NyIHQ299tjuP1qvrrD2Mf/B91K9+PMFV66vNgk4lb0hB3jKwTcF8NVMTUcxXQyxDMOmYzRSrmRJd96akEHqDau0UlVAf6Ti+5nPZ9jEc02C+0kugN6Wg5GlFlZOrjb4b/33f8bDk4Ay+T7VaJZ/Pb+68RzikEFw400lAPbxcb24GdqtlDyKaOabkm8cqHF8bLghi1Y+phzFlz9LKIkqTYYcts4b+9+hqDYTg2Ko6bent6qHe5NxIHCroo2w4LJYbG5P2+hGu846RqrdkTvjWbzMlp0N96KFCG79pY7QdePFMEYRgvuJzYs0/rZvrJyo+Jyo+V+wYY3vJxTEk/pDvy0w3N6M0fWpGuGqSG9LXculMifZLXr29tDWCcKXCsz7yjs2fByhpYLt6c/RYJWA1VCjL5DHnTyOE6EhPvVwPqUc2niFP0RD57gqk6EaUqGZa6mEQK1BRQiNMWK2feorPRyqGaXIxWjF2/0KNL8+X+ZFP38Rvv/x5vHZpkVvDgLpK8ITkCsummC/yr2/7KI/fXeL0hURofEfVrR8CbJ0cvPkTpRBIoeelQeTWQRjAqztlNOes//k01nOex1Y42wc/9XW+8MAyL33Dy8hVVjquvSFKYzQuv5q8IXsyliQt7sBQZIMMyz/7U6hvXN/6Qgh4/4coXXRxB3nq2EqD2TEHz96cq3XtF3+dtV/89Z7vdXaPpIekUA2GH+t2j3m0V4OZdsBhAjDaodXtYLMC2W/6w7fxHx9436bO+Zlf+GVAE2i6SdmgySol16IedgZAXjJTRLPCO9erY45NybbwLKnVQW2JKXMd56qCIqNNasXMzqDaREESZ1ds/1eTdgyhs074A+avbmVeKbQdminhLdUDjq41Oo5ZrodsyztUA529wTYl022EmW5IAZUwImcZLNVCamGCIeC8SY8kaRClRFnHkOwcc/FMs+NchL5nz3XRhCW/6124puT8qYImTw4sVS/y//0lqs9+MiysH1xm/9nbsS6/ap0jxMC1wmN2jW3Yv0+uBewYdzdkq9TDqCN4Nh/FQ6+JMpJw/WMf48GPfYyv/NRvcOyap2JIuGp7kedfvYuDy3VOOiarJ6vMB62a3FGymSnaSAkTnsmEp9/XORO6bR5d9Tl3Ite0n5srOH3Lpvr3uGdSLrTaTZQkNIK4SWiUAuZWfCJFT/vN0tlnj9vvPYdxQt2PqPgxfpSkqotasbReq8KxI0PVFQDv/Uf4lTeQKGiESZMcP0iV1Y8STEkz68yg/tfeFgyhz4uV4mQt4GQ14KyyR860+p6rVSWTJjlTpffNlHWjNnVm29BrgwunCygluH+xs08/bvcYYZxw8bYCUzmruc4JItVce+YsE880mMrZNKIYhcCRAikF1SBizYyYb/MZTHgW5ZxFybGaJLdsolOpz0wKwUzR5oE0UFmjt65MKfC7+s1yPWRnySNK9Jjcrd4pBUznLGaKDpYhedk1uzClJG8Z/Nd9izy41OCibTlKjkFBSVYaMfUo4cBSg91jTnOetqTAMARzaz4lx8J9zS9j/+Ivs/LhjxC+/U+h0QDLwnjpjzL+ul9uksf7QUoo2CblvNXTV5UCJ1WIzgiYjajV1tqbmmfJpmJ0djfLEFiGbhfZPJoFiHXXi2drxdPu5msbnSryom2OrocJjqn7+PFKg7lKwN5xj3HX1iqrcdIxD2eqs+1IVKvvtpcnQ942iOKEomviR4pGpJVtlVK4ltHRvuw0I8KguV9Ar+J3V3mW6xG7x3SAz3/fcDfPuLp3n+BluQLyNIfbZv7quFDEAjYb0vl9v/OPHDq0xDfvOs7C6jiX7xkjZ+tA1H3bCuQck8rJJX7y9T/YU3J58gTbnvlYEiE49J9f7/jNNY1mu/RME8sAO275mMJYYVoSQygQMP+NG+CVP0FHG7Nt+J+vkC/0j7g0DZp7CD999U6+fmgZL/VjKQV7xz1qYUQtjNmWt9hx7gTPvXDbBtm76BAMUOg5ZPsf/H8bVWXnNdCiIznb4PBq5xgpBZw7mcdsI4qbUmw4n/fLitGuvN3+S/e1GlFCG68fBU017PbzZko2rjXYvncsSRQrHFPifO0mFi+/cN0yZ8juMf7Xf9sREFcLYuy6Via2TcFyPeSuk5V115n756tM5Jymn3NYP+KGZGGl0kwVMaYh0mDIVluRohWEKdfh+I/IwSOMMMIII4wwwggPD4wIwiOMMMIIIwyEEJrIYwi0N2+Yc9COhN/8wO/yutf1pkTdCOdM5/n+q3eQc02+sH+J6rC7yoUCX33JK3nix9592kjC1oDNDFMKZkuO3lSROu3sEhb+J7/K5BtfS/6b1yOA3OEDAOTvuBX+6E2wyXIpgEadu+crTbKfZ5mMe5ZWeEsU81WfuWrAVdtLHZu/3ek9C7ZJvqyJb1nquuo3b9pEaXoxzLNk7WH2t36Vgx//0lDXjROl1Ud9KDkmUuo0iqCdpQ8Xtb5HChRQ9CwsQzK32uggZZbzFoYUrNX9pppCnCQdbakRJR2pe6vvePvWCvLcp8GXb9z6gzxKYEjZsZE4DPwo4crtBT69triJcxRhfOp9pbmpdhq9uYL1CVQCrdxxZ5ca3utf9iwO3nNH8/Oucy7gbR/+fM/5w5J++m2AlDyrQzWlPTTj5JrPeM5irEsl40xApU54KXpVm9dD+9i/p5xHSsFZE3lqQcRCNeDoSp2T1dOjtg9wy9EVjq82uGR7iZsPLw91Tt4xhyIYdXM+xlxrSyrCP/WGHwS2Zhcc+rv3g9KbwScrmkAQJQmWlM30wRlW/ZivH1xlzDW5esfW5VG/u+nBW8N3mTj9lvHVu0+yreTyY2eX2fekPQghed9bP9hz3KH2D2dgI+/R+LocU6tRrYfuzVedtUWnqK2HCVE8uLpdW9IYgtC53lStUw5r+kWsFFGscLvUkZf/6783vMew2Pm232PuOc/HNXvVGYfFB/9YK+xOnzzEC976WqjV1m2SieNy8jd+b3BFtO2UD9MOqz//CmgnBmdQCl7+g6wCXHdDB0HjxKrP3klN/njKOVMALFZ8TlYD7h2QPr4fXFNy1niur61ScEwWN8iSUHRMthddrK6d+q1m8zBkqra7jg3br9Y9z+Oc8y9k/z13DXUfIQS/+PrfTD8NLms3wd02JKYQzUwz3WcKIWik6b77kaOFEBgIbINm8I9ltBTbGusErviRwrPEusEtfkpASZReW5lSK0ceWq6lyr6958YK7jpZ6SSo5BxizRnCtSRxotPJC6H45N0nObTis3vM4Skz4+we9xCKpnLskbU6Ii1LNdBEYikEiYJ75tfwY8VUvpckKQT4saLoGDimTJVlJbMFt8dWGxaF//ky9pc/z+IbXg/1TnvKeNzjMf7qXVhWf8LmMNhICbnkmkwWh7Pn290q+3//zcxssiztBMUnveetHD53JzeNn83X7pvnW3M1wiQmDBMWl2oUXBNZzJGkY1WmNLvciBh3DT1XJFoReFfJwzba1yy95QUQXexBU0oKbmtcUEoNzNBUDzXhd5DsXxQnnFhpNP0EUtCcC8NY4T/zqT3nbITq2/6Y/K+8AWgpZQ9Sik5Uywb0LD0uZMSoHtJiiiBJuOtk5xozjhWepwP8VKKVgi1DK39mhFmlOhVa66Hu09n8b2dZl+KWNzJKFAXb4Kyyx8lqwPmTOcYcEyEEtiGpDxhPPcvQpNW2wH6lIGdZlBybyXxMI4wZd63mmiqIdLuI2jplI45ZrAf4UTLU2rhfjUVKB96OO1ZKDuw8aqEWUMhZvPCKWSZyNgXXYK4akCSK79k3wb2lKudMeOwc98g7Jo9rRLzv5qNYEg6t+Fyzs0iiFBU/ZrkeIYB6GONaEoGg+APfj/+935fWi17j+1HSHP9A+2f1eYkeG1OyrwISlaTzqH4ncZI0ycWWoQUHokRpZVQpsIW2WfK20TerU9YnNgqySZRWMc3KnLXNZoByW/vszvLmR4paGDVVZ4+sNrAMgS0Nkq5+aBmiJ4hIk0OTruNSFVpDt71qEON3qVELtIp0O4JYsVALOhSJXaul7t2IYjzTRKGohzGOKTlZDVmsRxjpnOfHCZFa5aKpPLPbZ7jk8qu4/dZvdtzne70C9mn0NzVr86deyQ3P/3Fe/I4/5yP/PnzAsGlZgMBCURrLUV2Y5+MnK8xO5pnM21y2e4zb7jvO971+fT+DVIq9z7uWAx/6LKS2Yrft3Y/GGcV6TJm/7IL+Fw4CeOpjqVoW+etv7S2/kEQprT1R8JSzJjraRKwgZxss1yN2lVzOncpvSA7uV1rPMnRZtgDVPVkB50zmKTlWx3iVKdOvt5ToJsRvFolqqYWDnr+ytZpSMFWwyDm9NIp6EBEnWvk/ipXOCJEVdHIaFk4OtT+19pgncPDYKpfMlFoZD2LFfBqcVA9BIDl3Ms8966wl5qsBtx1d5opd48Dm/IgZsvK23rPiwHyNHWUX1zaaTyPorxQ8wggjjDDCCCOMMMLDHxsShIUQLnAd4KTHf0gp9dtCiN8BfhY4mR76m0qpT52pgo4wwggjjPCdw61Pe8amjhfAZhODWRJe8eSzmCjYxEpHSz9hTwnXMji04nPLsf5pU9txz3Nfxvzuc3jx//3Nju+36qtQRv9p0rIMfvxJezu+c03J1POehBEFfe+5VVeVQjRTuWklh5BDK52baGeXc+ws54iVIowSjq1oNaW27HOQtBQNM4KwViE48xAAYaAdh/bmiHWrvt4kKDjGd70a8FaREQZd22B72ePkqt90Dp9cC9LNF9VMxehZAkMpvYmgtCpOu8IVf//OrRWktgXlz4cZEpVwfNkfSm1qELaq2OdHCdfuLnH9odWNDwakOF2hEqcfjinXT2Mt4bbja83Pr3zGZawu9qqMHd5/Ny+9cgf50jj/dF2LONyuFrIe+ql/1YMIx9RpeBtB3KFOlCitknUmoVP/6k3f5VqEa0mmUkWmYc9vou3xcrZJzjbZXc5xw8FFTqz5vSdvEScqPgu1gJJrsr3gECaKKFHESaZypJXHTCk5UfGJEzVcqvI+2LSK8PHjzQ2OLWHnPsqeRSNKOLTSWWc5S3L+lMe+CbdDacU6RXnUPntlI4xwWhAr2F32IFV8+k5t5p2p235nZ7yN6GjdR+u+nqnOdaeJ7kaSDHf99caPWGliTDu6yaLm5ZcNcZfhIOKYMNEk5JJjccWuMlGi+Py9Jzc+t+vzyendfOWNf8ET/+TXEUGIbNQ6fleuB1Iw9+Y/xr/0yqHK1wiTTtKZ6Lxv9SdeBrd/e+MLPfWxVNtIwkppYoeRztsqUaw0ooEKmIOwa8zrUKlvx7hrcZB6398y7Cg6mOvJeG0SUaIwDbGl+fvD//VVHnfBdgJ/Y9vjnf/8oebfSg3WPnNNHfg6U3DI2wamkFjGxkF4G3HVhehvQ2Yp5EGTVYIucleTSElGrtCEyjjWBN721OFmmo5doMg5Bm4iyR5VZZlxVEZuU+l4kRIwJamynmqqRMaRVpS8YraolSY9g5m8y96yx3w14K65NeJEK4lmQbdCCG470bK1M6i0F+RShUlTShxTslQPWfPjjvX4ZN7GMYy+Ks/tMKQO+srINiKth6kXv4Ad3/ei1r2VfqZjy/UeldK+WGfQFxvo5pXz1voXGAD1ja9vfNA6EMDuN7+WfTfexh3HK4RJwm33zDG/WOMT1x/gyn0T3H9ijcv3TbL98p184q7W+mdHyeaCqRwC2JZ3OsjB62Ejs3RupbHu7/UwASFIlMIPY6JYNYlSK7Ww4131BIFuZf2fqghvFpkvI+5DYmxHv3kyb5s9/T5KSWn9xjspIYppksHcLmJuhmt2lHjK3jLQu+4UgGPoPielJqQlCRiGJl0Oap9RojCFpGDLnvGsc92qOFn1N+VDS1KiW1a+zJuw6kf4UcJMwcU09K9Zvy97Nqt+iG+bGFJweKXB0TWfK2dLWIZk97hLI0yYzDkIqf3EF07lWG2EnFVyATrKqIDb59bYN5Ejl6qcZyTbbB5VqvNZszZoSoFtahXkWpCwnGYWMaQOCnAsg0pblqEw1u/YlC3ya4TCNgTVIMY1ZdNWbpKP03ZlCJCyV1G5G/UwwU3J43GbuvNGcMzW/D3mmaz4EROOwGzr9wODopX+X6IUfpzQiGIaQcREzmKxFuK3BRhZUuBZhg4asQ3GXYupvNNULwZd32NpRp1q6h/xUgL3fC1gsauf71+sc3jFp+SauKZgrhJScAzuXdDHvf2D/8WvvOKl3Pq1LwC6jeXPADk4vOxyjv7oqygGCbM/8hryn34/1dWVoa7xP7ce4NYTDQoWxEJysO4SVRswkWN23GXCMXjRa17SLP8gZP1ozw89k4Of1gFnTpdfxxCCsGu+ChNYvnIAObjjwJDqYy4hf+PtvTduQ7dtpBTsLOaYLSZIJZivhBTcXsXtwVDpOibe8oJyudGbDUPS6mug+5ufBmDkpCRR2sfUCJOOGusXpFkPE0wDJGJgwEjzvgJE1yEKvadS9mwKnkm/N50o7VPvh/x/X0f1mU9CLC32kITbb+VfdBmLb/kLoNVeDAGW2TuHtSsrd8M1JXnb4NBKA9ta45ypPDU/Yjxn9y37Rsjs1Jofs3cq13zPUrT2mkbE4BFGGGGEEUYYYYRHJoZREPaBZyilKkIIC/iyEOI/09/eppT60zNXvBFGGGGEER4OCPfv39J57gYksHa8/PF7GMvbHf7SOHVATngmL7pwkijRG0c3HVnrSHvWjsWLr+E97/gMVCr8+Bt+EBN6nDHDovHs5zOZ08o12TV63EqZYsn3PhMjCgbep508tJmyhDPb1/1930SOXeMeCJ3aVFr66u0kA0PQ3LAE2pzYDy0LKf+fH6X6kpdt+ryslBuRJ0boj/ZNMMuQzI67LKz5VLKNmHTTOkxiXNMgiFQHicSUYt0Ujo9kKKWo+BFSinRTWjucHVMrZBlZvt0UUuhNosVqQDlvb8KB3n7PrZVVCji0wQYuwN5xl7Mn3K3d5GGC9nr90cftIwrWJ5RUV5f5kcfs5d9uPECPIMsmsVyLWK5FA2kFZ5q8maWBzVIJ5h1zU3PGRgQkpVTfDexTRZQoJGBKA3OddzCT18p3W1V8HXMtLt6W54654QgHP/6Wn9nSfVT6X8E2WKqHfctbC7W6VHcKe62WOZqrRnhoMWyLyzudhKJzJ3PUo1grJ6V2+9HV1pi7lXnuO4WHe6+r3ncf/PxPQaUKhTz8zXvIn6vTLGtFzsEb2H6ksAwIz3CsXGF29rRdS+VygCb+KKXwgxjPNjhnMseBpXrHmqhn47xPNVz4pKs5fMXHyV33WcY+9D7MY0dAKeKpafyX/hjx815EQ2wuELG7vo10HVWtVIYjB2d46mPh5jubH79+YJGVPsSHYSAFbMvb6wabxOsYI9mGvbmFYBXPkqwFUQ+RPEMQi9ZN0iKo1h+EscBKyUu2qdem9TDBtm1u3X+Cp197KceOHO57bdO0+Nt/+ShPePLTmt+tR4t3DYMrZ0vU2+ZbpdI1r4BGkGxxTBjcB9t/sw1trwkBSVpfvUSt1vFaMVARRgo/UWkwm2LSc/rer13JLoNWamv3r3SWtegYbMvroLIHlqppmuyYMceiFsWs1EOKjoltCAwBdqoWnKi0/wnBQjXgG4dWO7I4XTydY9+kR5xoGzLrNnelmT4sQ1ByTPaM5zBShVGBIIiSVO1YN5gsMAIgbxpUGhGWIZp9vxbErfXpMBjwgoWgaeuWXJPJgs3JtrXvTMlGboI8334bVSgOX751UPryZ3nhi1/E0RWfccdgcbnGlfsm+NwtR9hRznHR+TOpUmjr7tUgaZI3c+ukOe/GRqqQBc+kFq6vAHliud5MVw9Apf/x9pBBmpvFVvpyI0ya/qN2P5JtSKZzFidTf6Ku0v51ZA7I/GPLLqXesDNFfYbJnN3XH+pZklrY6scmcOvxVcyUdHr+VHHTa85uG0KhNtefgPOnCzhppoEoUdy3UME0dIAAwEI9IIwVF0zl9ZrPgAPLOmBnLYgpuiaTnkXRtdhWdLBMmaqW+xxaqrHUCDi4VEcI2D3uMpO3CAasS1caIV5eq/HXw4ScvbFqr2Xo4ItuUypOYKkWARGu1fmuowRso5Nsm/lLs3cnUn9qlCTN4I1YaTL6ICJ6OxpRsn6Goz7NzzYklhQUXZPVeshk3ukIGhLQs6ZPlCJMEhbrEUv1sKP8JcdEKZjMWfhxQpJoxeSKH1OQWkleKSh7DkrRJAdP5CzCWKs2R0mrTrJnccxW4bM56NyJPDccWeFbxypcsKvIVdvz5CyzSQhdrIf85T9/kPlqyP/9zV/gi5/62Lr1NyzavdyLL38llZ98FY4hMGzJ0/aN8f3fuIeXPvESlhfn173O73zsm3z6zgWCMKGYs6hXGxSJOBEplld9/vVrh3jesRt5PMNn1QPw7rqV+oWX9wR+R0mSqvMn2KbQxOtrNhGwlyRU3/Tr5N/yJ/o+feyHJNFjnf5P2y5aCb0lJLJYCbqU9TsprYnSQQTVIOLQUo1qEBHFCePnnou6++6hi5u9J0tqIjTovaOCY2II2XFMpr5tm5Jy3mGlFrBYDTGl9m1n7TBW2u50TAPPNlirh83sLKCwpL5GlGgycbbucG0titGvDxddg4n8YHuhEUTMbxB0X/7CV6nuv4/gh763mZWzSWA3Lb7yjo9y0dnbKBqCyZzd9DkNmkuFEGwvOhxru68lYcyzWagFNGr6nP3zVfbPV9lWsLlmd7mlXD4E2oNDADynpRpsyZRM/chxD4wwwggjjDDCCCOM0AcbepSUlinIZBut9L+H+97LCCOMMMIIpxNbHPWff+UO/uPG/puAhoCzpnIEUcJ5MwV2T+bWJRO3E3Aes7OoVTsS+K97F/ufUCjwvnd8BoBXvPq5myLmZo87/+pfhwFE5G7sXVka6rjN+lGO/c2/DPyt5JrkTBNLyjQdver7rmLVb8PyoYd1VCetnshZ1IJ4U+mG1/yYqbyFHw33PkZoodt5J4VgquhgmyFrjUinub33NqI3/W9Wjx7R58xux3nz72NcfuWWUxE/EhDGCV/cP3iDwJRw9e4y2wqdm/cr9YiVesRMySZnm5vykG7VmWobkqOr62/e7h5zOWfSfdgqkC43QsZccAZtwhp6M/JkuiH1x6//XxuSgzPEUcjv/a8f4g//6SNNtaCN4Kwj5/ydrELHMthR9lKSz+YaTDsvtd+ZiaK5yXu6MUydnY56vXpHaWiCsJFsnU3X2DbTVPCXQvHkvWMgdBtdbcTESjHp2ewdM9ueSxOIBALblHrTW2XfDAkFhxZqoJRODNrNohsCO8ouljmcstwIW8fDaai1DcnTL57BT1Od5j2LWqLICcE3H1xkKbVnszndMSUnayH3LWhiR86SHE8VVafzFifTtMNiUxb0cJCnqLI9CGdqr1IIyNmy+b4FeoNctKnsBesEBVT/9I/gX97T+eWiDy97MVWAV7yS/Gt/jSBW6xJIpJDAQ2DPZ/l0TxFH/vnjzb9jBQ8sVbGEJqBuZFsK4JnnatXFw8sN9i/UtZKq7VB91guoPusFHcdP5S0sIZhSrbdUPxU29bOetOlTqpVKU0X4VHDJthK2sX6QrdHHNshZBjtKDpaUZMmB+xGXLIOmsnAH9UPodOhBlPDAUqdC87DIWQb7ynlsQ6tLBko1g1Troclnb7iLk3PH+fVX/wx33/Ft4jhmYmqa3/nDP+HxT3tOz/XWayVCCLq7SnudeVarz2ZL5O61ckZYbSc5D7vs0UQ8Rc6S0NU3rewV0FKXzN6DTMnb663NXauX3AOa5GbK3gIqpVgLQw4tN/AsiWdKVv2IehhRsE0cQ1CwLaY8m2OVBgvr+DeCWHWQgwHuOFmjnLO5anuJRCVUw5hKEDXJ6FOeJq4FHSRqhWtKDNLU20FnuVe7CPSnM7jKTYk1UkC5YGsyX6LbYhgnfdOEr4u2Ys286ffhx3/wlMu4+Muvw3r28zi4XCNIFMWxHP98w1Hqhs3Z54/z5AumMA3JJ9sUhFcaUVOJdDPz3UZLibxjMVOCE+usMx+pgW9SCDxLdGSASRSU3BZBOFGw4geU3T5k/QF11y+YpztFPQwew3qyqaT/Rgoyrcd+5xpisACtlEDbtCcRTOZt5quD3mvnw+UsA5ResWj1ZMFEzmau0lqLZ+PZ4ZUG504VWKwFxIkmImuSmsVkwcE1tVLvYi1hIm8TJwm3HFvl0KqPVJAI2L9QJ5j02DPmMJW3mK92jktJ12C8nlliSK2mPozPs1/8S5Aq++ZsiR8mmEanMEF27zCGsMsOixOFZWysJOyvRxJuOzUj381XfRKlWEzb6fE1nQVsR9FrnpIoRZQkrAbaN1ULYyZzVs8YrxTrBi2licOYTn1eliG4ascYcaxYDUKOpfe2JMwWbBbrIVGsKOcsDKH9u4aANT/i2JpP2bM4ZzLHt45V8CyDgmPhRwkTOYtEKXKWQcmxkELwrn98P2XP4sD5565bf8NAACFwJFXqnSk4rNYDCq6JZUhWGiF/97lb+fjNd/Fvr/leglpnlsIf+9XfRlzyIqrCZaJocWyxytG5FY7d/E0sL8fnj5nkbIMfec6FXPuHf7Lp8k398quoXXdTTwBYlGiSsGeJVAld6ex7m8GnPgFv+RMMQV9V/8zekULozAOJ0pkL2rDaiNqyDMCDSxVAH7/WiCh5ZjP4bKUR6WBq0yD3rx+mevWlmypu7erHMVNwsU2JYxhIITBl/ywPrUCjFrI6aw+M2DHmIlL7Nu+YhFFCzddEYT9KqLaNzTIl/Vf7jNcl16RcsNJ1V39EccLxFX/gGG9KgWlAI1RYZ52D1abwfO9Clc/cm87tEVycigPsHbeaY81666SSY3JszUcCE3mbpXo4cJyfqwT8550nyNuScdfmnKk8JdcaaBi0k4NV+k12pGVsnJFghBFGGGGEEUYYYYRHBobyigkhDOAm4Fzgr5VS1wshng+8Rgjxk8CNwOuVUsOxo0YYYYQRRnhEwSiXiRcHEHHXwUqYcM2+MlU/Yq0ecmSpwVW7x1hthCzXQvaf1JuPTzh3clNkUT9Oms7vF144yYOLDW5fhyz04MWP5aw7btgUxSEslIYuz8yrfww2ce1hyqEAZdng9FcVMgTsGfNQCo6vbkygu/noKrceXyNnG3imxLMkj09/e6h8POryq5rOf4Emo+Rsg+W6JgrYhsCUktqADf1H5rbUdxaa1NJr7gkhGMvZGCeP8+CznwP1rlTN+++j8YofBdfF/cBHMXbvPfXCWNapX+M048HF9QkQUQLfONAyb/O25LyJlnLUidUAScDuSa+N8NSvR2nFjVMRt92IKLqz5HDWhMO4a50xAuipIlGKe+f1WF32TCY8G1MKhBDMV/0eZfgbPvupTV3/2zd+dcO5JG8ZlHM2Y46ZqkKd3pElSwO/GZWOfthI7WsQ1AbPIwXsKec4tFzfdLrz9WBJrXryUGDctbhoW547hyQJbxUPvPuj5JufBFbKt7WkwCvo3lzOWURxe69v/WVKqdU+hZ6zHUv2ncgEtDboWhwlpBAtpazvpgnwu+lZTyOEFKzGSuemNmAlJTasoDh7dxknjvnqfQss1wIqfsQX7q90VHWmZOfHCikElhSEyeknB8MZ3FwcxKg5RShFm9Kfhmv2J/B1o/oTL9tYifaf3k31WzeT/4d/Qa3DgFmXXIImIJpSbG5e63Po3g99kAM/+EPDX2PQZdvIsnnb5NByg8mcxXI9pOjoTA3dhKAMZrP9wY6Sw64xZ12FvjBWhHHSsYbI2ZsPksjShm+amAHw3KfBV24a+PO+co68bXDPfGWgUvRls6W+5KVuxIlWuK8EMXnbYEfJxRKyx1bsJliBnpsGtaFEKY6tNXAMqdfbW0B3xpfue01vm+WfPqTtO9cSTTJaX3LVBk15PVNpq8GxYgNyfDZ+OaYkThS1tN9lROhGlLQRlzVJNkxVdzOFwPVSXVuG6EmVbUqhVf8GZHVZbAQcT9XkdDp7g4JtMFcNWPEjthc8EqVYboQ9QXRFxyBOFIYQuJbBUj3gafvGWPFjFqohjinZWXK5cnuRONGBCkVbohQcWqkDMJ3rn7lkkNJxPwjRO4BbhiY4KnQq81oQa1JTetygq2a/J0or/GXtRKRk5UojouC2a5+sPym1K5yWLrmENYEmUp6ihN5cJWChHpK3DZSComvhmAnL1ZB3fu5+nnjeJEXHaBKGMtvQNrT6Y9+7t31fec/fo97xVzwQx+B5nPX5z/ZViVdKB78a3UvZNhNgo+k1oxAlSm1JvbwDhoGXqjo2yUopsV6IrnK0fxA6RXysFIvpWngt0A9RtI3WWl0pVoOIybyFY+i2nKhUFby97EqTeDNVWv0iBFIoYqUwtCh4h2ppL4t1cK21D8/tR50/VRgYqLDeqNa9BG7E8Trk4N6yzRYdbMNo2hBRAsWUiNaNahhzx4lVxjyLtVSl+PCJClftGKfo6j4bJQqlFEdX6izVQy6aznP3sTVOrNQpFF22Fx32jOm143w1JGcb1NLAzMmcxUze7ehjg5SGQY8f6wVqtWOQjZR2a61E2jYeCdKgjQFzShhnwQfr3z9R2fis57zscURKCNYK8YLDq3VqYYwUUHDMDrVXgUCRkLNM4kTRiBR3z7fWwyXX3DA4yrMkbpotS6DnlZwpmco5FCyDONHPZKaS2KYU+FHCVN4minWASJToINaFWsi4axDEUAtjxj2TRhhzZFVnvXrBBZPsG/c4vFrn2j0T3H58hZmCR5zockzkbCYKDqfNeH/Xeziy50IArpgtIYVgtuBwcKXW7AsKxZXnns30B24kSRTbSw4Pnlij4JhcuLPE/qOrIAWH1gJmXME//v3HmZ0sMrWrSNHT/qN//s87+BE2t0ISgESxUAuZzPX38Wd9uPqmX9/S41evvqj14f/8OfnnPr/50ZA6mLQeJq0+EOv34IcJpGOdSNtZECdcOjtGNYw4utKg3EU8t6TgugeWsU3JFbMFzisUoNJJuO6H7E2f/MO/Yq8h8MyWrzpRdAZOtME0dJ/snl86emXXnGyZEiOSNOpRz9CcqN7xtB4mbCva5F2T9d5unCiWa8G6rdYyBgcsdPsJv35whSfuHePu+TXOGs9hG8a6bUsKwWzRZqkebTDGt1ANEqpBgyOrDSRw1mSObQWHybyTVpvomOezf6XQPmxDjlSDRxhhhBFGGGGEER5NGIogrJSKgSuFEOPAfwghLgXeCfw+2mb8feDPgJ4crkKIVwGvAtizZ8/pKfUII4wwwggPKa66/VvcuH34MTyNeefa3SVW6h6HVnyuv/skAAcWauRsg4W2DWHP2rrKXS2I2Vaw2DM+QZRoNQvTENSDmEMrPn6s+MJr3sJz3/QKti8e25Ccm5X96If+e+gyOPfft6kyt0dlDyoDwMGPf6nv754lOW+ywHr7tolSTSdYrBSNOKYSxE01RIBrDBMr3lr6261g5UnPgPS9KzTZohYmWFI0N7mFSAY6BUf+qM2jn8JYhuDIER58ylPWl2NpNGi85Hm4H/t0iyTsuOA3Nl+Yz31t8+ecYZw7XeDYaoM1f7h+UA0SVoKQkmM1lTkS4MBCHUPCnslc3/NqftRUZXIto80pvM4GL81DMIXgWCXg2t2lvo7okmNgG5Ig0opejwQs1SOW1lH6PX78+Jaue9+dt3LeRZezZ9wjb5tYUjQVU7rHleQ0SS2HUcJqPcSPtDrJzrKLIb8z6q1P2DfJjQcXOVEJ+s4zQggu3T7G0ZUG8WnajJspOky49lCk5tM1jl+zvTQUQVgJsSHZp+ec9N9TLWuQkvniRJNIhiETdmPTZL8RRhiAhpS87WWXM5W3WaiH3HBk8CbuiUrA7nGXQ8uNUwpsGQRjHUWmRwoakU4HnKWpBb2BmvVyU8LK+967MTk4w7e+SeMTH8X43u9b97Bu4mA7MhLVZtBvdMk95jHwhCfC1766uYu14egv/FrH5yBKGHdNFushSunMMBuRyMZcc+hx2DYktSBsrrGm8jZLtT6b5hsMp4rB6owbor5+0FnJsYgSxUXTJe5bqOCYEsuQnEjVGfeVc0ORgzPsm8iz0gjJWyZ5W5MJYqWJ5BmMLkXJjSCF4OxynhPVBn5tawRbfwiSlkzJUEGoyDI3W4boWJJo0tRDP/+J9D/bFB12TUZizqbkduJHlKiBc3Uj0mvbnC1bQT/rwOyjRGlKocm2AxpnrsuX0h4o2B681S+IrhHGTUKzlabflkJw+UwRy5BEccwDyz5feGARpXS/HHNNPPPMjeMTeYuiayKE6CAIhomi0hFU0L8+2utvtRE17a+cpdV3T67psSGMEqQUeLaBvU7WhXrQ2Ynmn/08pv/r05t9rI5SK+A9Nx3liXvHqAQJXz2wwu4dYzzr3AkunGoFVzipYvCg67QjUwyvvPT7YH9XuvdKhQcfe63++9d+k/zLfwKgQ32x34W9AWnO2yEFJCmJ2zIkftIWzPK0p8MXP7/u+T3494+vazOvFygDsFAL+NdbW+vInSWH86e8vsdesb2UpqDXj+2HSVe9Kg6t1noUrzNIoUmZ3cT7cyZyuKbZHA+7FbKzOs9ad5wo9o57HF1tcP9ijZwtqfpxUyU2I84J4PzpojY22sjbAEmsScvZ+JUkkgunC/r3jMjcNqlaUjKWs5pJA6QA2zBIVMJyLQQEjhLsK3tafTY9t+SYGFIg0muOOSaJUtxzcIlEKdZqAYlKmK+FFG0DU0oaYYwlBedty7N9zGF6zMUQgix20rMktTBhpmBTDXWWlpM1H1DsHsvpYBch6F1eKw6ngQrZured5JY97raim6rr63ZqGgIDrdisj1fa3hVaJVOhxQuye8SZmEGqjt8O09AVqGOSuqwWAWGkOtpUI1I4piRKJ3wd/KD/jlFsy7uYUo/D/YJJ2tu/6mqtlhy83rQMwXkTheaY2lKr7SywFLq9GVIQRorDK9rvN18NmC7YrFQCPEumBHIDBeQMTRBerkdM5S08Swdj7B7Psa3gctZknoVqwJ4xTQ527LbABCkoeRaFP/sLKq//5b5lXw/5m+9s/m1KQWmpypof0Yhi8raJHyfNwJpEwbeOVWlECY/bVaIWxow5JhdP56mHCZ9/YAkZRFQaDXIljwVl8T0/8EI+f8ODTBbLXFXWdtz09nH4r00XtYl+5m8WoGBJQfW6L2794hne+KtU3/irFD57HeVdOzAlzK31BuXV0+wxnQrcul0UHJOpootjGBxbazCdh7VUOdiPFdfsKjFXCXAtg/x1N3QSlNfB8d97G0ZKPm9XRU+UXj8JQc9ex0o9ZGFN+7dyliRRuv23B7yrrsCdKEp0UFEfU8Ey+veVubWAfBBjW5Ljqw3COMG1NKHeswxc08AP4mZgxCB09812dAfpL6aCKWGsuHehygXTeTxp9bX5TEMwX404vraFQMYUCXD/Qo370yxCk3mbx+8tp9kwWrBkuo4YYYQRRhhhhBFGGOFRh03l1VJKLQshvgA8Tyn1p9n3Qoi/Az4x4Jx3Ae8CeMxjHjPa3RxhhBFG+C6AAOr/+/eYypnsLlk8MF/h0t1j3PTAEou1kPFcS0l076THjglvQ8WFjZBteM0W002wnMX50zmW6zEHlut85i3/xK7/+iDP+ujf9yX/ZN8lwKE0JdmZxqAnVpY9kBwM8Nn7lgCJa8o2RRlFksC9i1XumqsNRft6///5AK94w6mnyNwICojGJwf+HiaKMN148yPVN8Ug6M2+MyQO96hFlCjqQYzXR0Xt3mc+a31ycBsaL3sJ+a99S3/47y/BUx+76bLk8/mND3oIEUQxX9w/P3DTdRAeWKxxyUyR7g2gOIGjSw22j3eq3SRJ0pGydXcpxy3HV4a+30Sq1mFLgT2ATKPTyWtl8MV10gY/kvDRv/vzLZ33b3/1R3zwPz7R3Oxd7/VudSyJ4qRjc3CxGnS2oyEvHMYJh5c3n8Y723AQPckWtQrQ5TvGWKiFg4NQlKLoGORsh0PL9U3fvxvDkoO3CkOA3U5EEeDZDk/cM8ZXD+q+tC1vM1u0mS06CFrk72N//V52vvrHN33PtT3nsK1g46aEpQSFRJPNF9uIN40w7iCVWLKlnBirFoFIbrG1Wcb6bfjRiNOpbL1VCAGrfrQhOdGPN8G8+w5DCMGn711gOm9xYHnjIB9jo+CVMwjXkoRRsnWi5kMAITTp1bFkc8yJYk0wkVIQxwr+9A83dc34t96I/f0/QH0dlqhlSuItKqMOizBS5P/63VTf8Xb4+3du/gLPeA7RS17a8dWqHzXTUMexIoiTdYOETCnZVeofdDUI2wouoMkBltTBISt+tK5aazu0Imw3Oez0YNeY16bKqDir3LKJZwpavSva5HCiEpj0LEqeTZIk5BwTy5Q8cLJlV9RDhWMK4kTfN0tdvhEGZXM5HcgIVkkMpqFTYe+dyvW1I44t1zGlrjfLECRKK5wjtC3j95CbTg3jnolrSU6sBulcfurXN6QmwQxDDs6IfO2QAuINmOOeaXL+VIGFmk89NRoaYUyiwDF0u17yw74KnNlXhqCp3gm6ryYJnAwjJjyD6x5Y6jjvRRcOXtufKhxTImUvK6WfInY/ZOqU9TChEWjyU9IVKJiRhMt5C2sjBkzXbfe99S84eP21TKxoG3QrSsIKuHDKo5qmbT9dqD7xamhsYNv/6R9SvftO8r+7uTlqEBKl+2e7Py/7O/+2dwxNGsuQ37dv3d/r4fpq+v3I+t3Esdb3rb/DWPUooGfnDkKWDasdRkq0bcdaEHGi4iOA7UWvOd61rizIWSaebbDaiAjjmEFT/bePr3LhdAGz3+oiU6WN6exDfZpoojQherrkdIy/SSLwo6BZOtswWKzrNmVKwba80xHolSjFPQtVLjt7inqoCKIQITSRWAhYrof4scKKEwxTMmbaFG2DhVpIHd12MrKdIQSVNuLddM5qex/930N3BqJ2WFKwp5xDJRCm71EKMIB623s2hA4q9dNx2pSia7xM196CDptCoOcwaQiSWK8XB0GiM8aoNJCnLzk/RZTQnPu6EXbcX3T0vYVayFTOYtWPMKXANbVydhQnHYHRVkp+NqUeLzMi+pofYhsSQwjiRH/+4gPL7Bl32VHUtkbeltQj+MqBZZ5xTlkHFa3V2TvuIQS4hoEQgoMrNWxTIqXAD2NKnkUQRnzpgUVq9Ygrd4+xUA+YrzXYPeax8wdewt1//qdw5PDAOuzBl27sqjfFjpLDwWWtrNxOPpVAwTF47M4idx9b5byyR6gU00WHRhCTKMFqELFQC6nVAsbyNrVYARNcc0mIaxkspurXd6V2VkZKHwbtFoXsc1YnQff0ofLMpzJ1w/XMGYMzJAaxol8eqPlKwGxJIBGMOzY4sC2v200liJAGfPyOOmeVPXK2xP323Zx44uMw1lq+zu4nNd7zb2y/8BIcQ2JKHdHgGK1xN0p0+7Qt7YOxLUkjiFN/jEZ7Vpec1SLbJ0ohs4wDfsTJSjDQ3b2eG7zqx6zUQ+5fqPYVLpnKW0x6No5p9BCZ22QgGDRmZXNU2TO5cnsxDUjTv+0a04TsO+bWGHMMJnJOM6ByNYh4YE63vamczXy/QMhNImdJrt41jhSt+UQKTQ4eKQaPMMIII4wwwggjPHqxoRdKCDENhCk52AOeBbxVCLFdKXUsPez7gdvOYDlHGGGEEUb4DuPCe+/grvMuHu5g26bxrBcSNSLMnM037l1ioRawc9xlz4TH7UdWmwontrFxOratoh4mOKbgwukcu8Zdrn/OS/mn57yUF775Z5haONJxbAIc+tBnO9Lhnmkc/It3s/M3X4ds1EAIwpkdHHvn+8Hpk3JMKWqR4rYTVfxY8am75/tec9+EN/xWZqFAmKoInynfT1aWI+983/DnDHiAWhh3pBz+bocU4Jo6LWyU6FSXAsg7BjvHPMY9i5ylN7q7Ubv126jqxuqbTfg+8c03Ylz9GPKFAtVSCVZXhz69Xdnj4QIjTZd4OuFHCYcXa9iGJOca5GyTo0udm7RRotg15nFkpb5hX7X7qIith8VayETOQimIkmRDZYuHM1aXF7d0XlJbG5pks9WAg1oQs1AZ7JDvJIinm5F9yN2JUtx+fG0LJegP15Rcu3cCxzLZMTZ4mSeE4An7pjiwWD0lgnDONtgz5p1RcjDouuu3YXbNzjG+dnCFJ+wd44qZUk+6RgCmrmETIx2g28X2j/aNfQW0Kv9KqiTWntYV4OLpYl8CwlZHmnqo1t1AfjTi4fCoAnjPzUc3PO7pZ4+f8bKcTszXwnWJFO14cKnBjpLdV+XqVLHeJR1TExnsIVQLv5PIbNVGVxmz9U11iDS7/dBI1y6DVFgbYYIpBwcODCIybaS42I5sCMu/+rXw6tdSvesO+F8/AQ0fTBOC3nTjTXzq8+RnZ2Gu00acylss1sKODDLDlGEzUKk8olIgTcG2gsf2lA/hxwmGEB3BJkEbCT1Tg0bAbSdWOWvztwfL6vv1BVN5zHWyCqyXEWY9KKASxqz4NcZdC6Qg6ZMRw49UmtJcE8I2ig0UQrCz5OJHCbFSLNXDDdvOxdMFSINoumFKnS3DlJpw1G7XRnFKBh3wvi0pmoqeLdLf+g9QdA3yjraBTq75G9ZvztIqmo6lSU1BeLryK2QkLLWhqrJlaLVIP1I9dS3F4LXvXfMVjqz42KbAkpLDq42mqtwzzykDimoYM5mzcSKJnbOY8KxmZo1KEFMLtB+g6BhEsaLkmKz6EShYboSsNgJcy+SFF0xCW+BI+xpKKdW0cwQKKaUmw5ER7TZZowPaw2Yyf7STSIM4s6W66hbSwPXNDzh7vnA99/3YDzB7xx3NcXczROF/+Mnf49tfPcC2osOTzp9qZozw+qzbh8Xiy39oY3Jwho//B9VfeC32zu1bvl87cpaBndPEwryTsJqSZi0DvL/4a+q//IvDXaiL8DcI9TDBtQSNPkECRcfssJ2v2llkJm8TJ6qpAlkLY+6dr6bvrH1M6kMuHlAGz5IdZNYMUwWnZ20UxElz7TBbbClaOqZsllMKoftfI0Ip+gbNFx2Ds8v5ZsaAQWteUw7nQ6gFMYcX68yUHGxTIoToWbMa6zRrpRRz1QY3HF7l5ZfPYshWBisFBJHiKw8ucXjF5/kXTDKVtwhjxUpbsGXBNpoBQ5WuOWzHmNf3GQ053NwppcCWstk3XVMQq84xWSnFfCOg7NpkY0Gc9Bcm8COFZ+mxWiuYarXmKFE4tiRJFGGketZ9zQxpbRfcaLiIkk7bzTTAlrJjPPXjuOc9h4nCNCS1IO4gUu4s6SB2xxQEkcKWsjmvLtR9jq9p2+7yWW04LTUCVvyQp59d5pN3L3B01ecpe8fYNeZimQZ+FLO95GEZgmqYEKmQPeN5LKltVQEcX61z/YEl9pU9thddco7JE88qc9OhZeZqAQVb99VqEDOeKKY+/VnmX/FjcNMG44DrUvr6N/u2AVsaTBc03dWSElMKTlR8DEmzP5XzNn/3lQf57RddSJKAMhV3n6xQcgxm8hb1yGXVj7g3zbZyySU7NendNlidX+OqgkOUK2DWNmfrhzM7sKTQ9lDba3PNLsrwc54HH/ngpq69Hh587LXsvvs+FtexwYNYYRmQxYcJYKJgY5oG0yWJWQ1YSftplMDuco6Ca3LBthL1IGa5FtIIE9771n8H4Fl/+RvsvP8OncmpVMR434dxZ2d77hsnur9lbb3gGISxVqAe8yxsyyBJEg4s9J/b2vvDUiVsZky0DYG7zlpSKR0QIqUARdOnnplbppTMFByOrfWuefwoafqAzirnGHMs4kQRk7DWiHBMiSEH++LiJOE5500QJ5q4H7SNRwXb5OhqnVoYk7Mlt8/19xXO1wLKntWRMWI9SAHTBYc4SZr94KyyxyXbxxCiZb+bMg0SHpGDRxhhhBFGGGGEER7VGCZMfTvwHiGEgfaf/btS6hNCiPcKIa5EL28fBH7ujJVyhBFGGGGE7zgKhQIXfvMb3HXV49Y/0PXIf/VmrrvnJPsX65xd9giUdsocWW5wYtXnsl0lbjmsN44vmC2e6aKTKMiZkhddOMn9i3Xu/Ot/oexZnFV29YZOmvqNYGtkuvoFF5G7e3gCZOYbVhdeyuGPfHbwcUrRiBVL9YgHFuvDba5tcv/t/X/1SX7yF5+HzDa2NnFu+626z2v/be0d/wjliebngmOwt+xhGwYFx8A2DI6t1LnrZIVE6Q2UomN0kBttQ1B0TBYeJeqop4pxz+Ixu8u4bSllBynj9MPhX3v9pu/Z+L03kf+oTqea/8L1VJ98DdQ2Uj8V5G++Y9P3eihw38mtkXdAk9ULltmhKJFt/ESJJuc2ooR51b+9TnoWJyqNdTfuHENgGpK1PmSP9VD1I0xDUt3iePZwwYt//FXc8NlPbfq8l//08EsS0W/nbwOEsSKK138ny7WgSVbN3rFt6s8iZVcI+itcnQoUkLNPnwrZRpjwrA4FqYcaSsHLLpthOt8nqKYd734fvHJ4FWHvXf+gCRpp+2h0pRu219spH+G7CptRjnok4uhqwLkT/dNynwr6CEM24UealLGRYmY/rKfW9JDjT7amzFh5x9sZ+6XXbnCUSAmFvb+cyrwSJ4o4Tgi7GBf5Cy+GL9/U8V2T7DIEJnP9M4OcSQRR0kEgMtO5qpsoYBuavJqRHbMqjYVEqmRTynDiP/5TX0MASpGzJDnbOO2DhCE1EXG5HnBguc45EznCWPGtI8vUgpi95RyeqW0BKTZP0LQNgW1YZEl5XNOg4kcsN8J1riMQojerQc6WTeXcQTavnlL7V1JtC2TdyYLTJP1N5m3mutIwmxImCzaebaYEiM57n64RJAsWGAaKwWQ3TRrVqeC/eWwVKbT6oJBw05HVgcGA1x9a4Sn7ynxu/yIvvXSWot1LYL93YYXrD2mlvyzgRQLTeZvVIKIeRRhSstYIMaTEDxOkFDiG7Bhr7prXa6qiYzKZsxlzZDOIwZACEa+XbFu36XLeYibNyDBoOTtZcCg4MUdW6k3VVlMKTEMTrmQbg1mgg6w8y2jacx2BZOl3K7UQx5TNtpA1ifYi9Hs1hoBLPvAf+JHi/r/6M7b9w98NtRbP/EC3lPeBguOrPh++8Qi7Jjxe9rjdTOe6dRyHb5Hq298e+lgAXvwsuPn2zZ3TB44pKRfsjme3DMlyms0kfOozEO96D+pVP7XudYwv30h5rIgfJUghmiqn7eN2tVKB5zwVGvXOAMB3vJv8458IwM3HVjvGqoNLDc4a88jeahSDIw32TeS02j+pqqxskePa0c1LH3PNVI29fwBj3jLQavat74I2Qv1dbT6IXSUvDebWBzciTWzPCOPdyKX+h9O5hIwTxdHlBuWcxXjeotroXOcKoTOXNaIEpXQGAM+UJEpxvFLnxiMVLt6WZ67qU3BMxl0TW0pitMrowRWfK2YLLNRCxl0TCWR8OCladouAnubuRwmG0ORJkdodCQm3H69w2WwJtcEQG8Y6qMo29ZglhMAUIiXmaf/ZwZUalSDm6KrPpGexveilZEnRzGAWJDHL9ZBEqWag3QVTBcxm5hhBPWjZERlB3TQEjiGo9lGQ9yMduGCkwTPtbdYQqXJq2r5cSwcx1bomipPV3oDlMFZ9swAktOYSz5JUw0QrhRqCk5UWCfL+xSr7ynmmcw6xUiQW/OgVs8wWHAwJcxWfOFF86c6TXPfAMs+/YBI/SqiFsFhbZrbocXzNJ0wS/FiTEf04oRLE7B7Ta4qJvMNkzsYQLfvk2Iouw/R73o9SsPLW/0P4vn9qPYBhwk/+DPlf+pU0mHBAJxBQ6ArY2l5wqUdR0xadLDq8+PJZolgRxQknqwH1KGE6b3EyPWau2uoHxVR5WAlgVxEpBMf+47Psfu61Q60Fm+FNH/kUe22DWGnfkJGOIVk2RNeUCKGQb/491k4jQRggWpgDt7zuMYaQhOmMV/RMcrZJkihOrDaabVECOyc8zDblfc/W6ucPLLR8w//zurfyk1dtp5yzh7JBs6CeiYLOTNU+nwgh8GxJGGkSryHRQjOJzuol0PN7u8cmiBUMUIUHHZBsy1a/7aiHdP3QvR7KsObHTOVt5qsBDy7pZ57wrI4sUwCXbOvNOgcwU7SZ6yM2IICVRpj6+MO+ASgZJnKWVuxOx+aNsHvMo5DagZM5h4m8xWTe6SifJfWzjzDCCCOMMMIII4zw6MeGO8hKqVuBq/p8/xNnpEQjjDDCCCM8bFGYneWqIwd54C3/h+V3tlLOKkDYNvzPV8gXCixVfG781kEc20KVbC7ZUeLr+7UaZJSoJjnYkHDlnjEaD5FcXDWImSm0Nl0WayF5y6AaxpRck6l8y5GYKP37MDj5l//E3ucN5xzMsPAzv7ThMQmCbxxa2XADwDEEu8ddZovOlgi0//zXn+YJ//hHnH/D5wce0/5cWXFi2yE45wK8O2/tu3UVTM9w7N0fIpf3IIxxTdlMIbjqx/hhgG1oh79rSs6ZyBMmCUdXG4y5Fo6hCVqNUDuUR+RgDdsQXL1rvIMcDMOpFlX9iLVGSHBwE6n7MszNdXzMf/kmql//Krz6lf2P//ePkz/33M3f5yFCvzS7w+KBxRqGgJ1jHkXHJFGKu+YqmIZgwnOYzttYUtDo44w2pSBIetVeupGzzaEVIdrhx4qC+8gnCF+0UTDKALzkpS8/zSXpxDCq0/2c+f0yAKqNdjU3iat2jvdX0T0DKDpmX7LJRjCkQKRNv4cukn7MFJmGwUzBIUkJGd3UwKwmCldfQ/Wd70b9woCxqh3//nHkuedSDxOE0JtgniXxowQhBJUgZKURadKCahE9JGdOaSWI+6tYjfCdx6OZHNzEGWjYvTTCTjwq2vp992ztvNtuSVMPD66FrZCA10uRnsEPY06srqMOvAU45nfGHokTvdG90Z0HkRYOvet97P3Zlw9N/FDAcafEhVLQiCJWUjugFiZalXCwgPBQMA1Y8yMaYcLRtUbHb0dXfTwraBJFT1R89o2bCEgDLzfXXrrTXHumiWeauJbBwU1mHVBqY/VqyxzMRtismTSRt6j5EblUQdiPYvKOgWdJbNNIFTLhTI7eAnBt2Zd00vdYS2dTWq9f10OtAn1kVb97Q+pR1JSCPeMuS/Wwhyg8kbNYqes083fNV7hspthDkvEsSdkz2Vf2KHsWUmg1zyBWLNWDJgkXoOQZuJZWpYyShDHXxJJadS6INWFntuBiCIlttFJ+11MSmmtqWypR9JAf4wTWGhFTBWPdOUcI0VTGPNbVDwbhwukCZlvq7N667f+ebFPbef36j2dLGkHSrM+zf+n1VE8ch08Nzj4BrVH9w7/1LlhpfX/OdJ6XXbuLsB+RWun+nyg4slJne9HFNARx3DlLVD/0gXXv3RdxPLArSIbPfpG91/b4OSm0UmumjFh4zONIbr6T6rdvgZ9+OWRBQK4L//1l8vk80Kn8nLURCTiWZP5xV0J9wBj06ldSBdybbmO2YPGSi6c4vOqzWIu4f7HOrccrvPYJe1JyreJT95zkwaUGv/SEPaA0SXKQ0nfc1Tez/lf2LCZzNsv1ENuQlFyTWhBz/2JvALVQiuVqwPYxj7yr09KvNkK+8MAih1Za864AXnTRJLGCtXonUTdnGUznnA19g9YWAxkbYcyhhbBvhoKiY9KIAqYLDq6hJ7SlRsDxSsjB5QaXzORYrIckKAqWSZwovnpwiXsXatTDhHHPwjEFDyzVGXetZjd3TQNDCsqehfij36X0+c9AklDftYcT73g/x9Ya7CvndBB2rDiwXKOakl8fXKqydyy/7jMlSpO+k3QyidoI4UfX6j2+loV6yPaSiylkGmCjx6sD8z5rQet95CyDhbpPFCu2l1za9V8V2k7LpfNANVaYUqsZB11tLCMx5myJkY6nUTof1AOdUUIOIKKHcYQUvXOsaQjo40KarwSUXR3cG8YJdqokrJVKjaaPQ6aq/wXP5Gwnj2kIvnj/IkEUYxqCIEq4b7HO3pk8S7WIONHZGKSA/Us+1z24wr4Jj/0LdabzFnnbYDJnYkk4vNLgnoUatx2vsGvM5ZnnTOCaLQPJs1pBRfav/gal33hjM/BCoIgSfR8/0sTPuE+f7WfuCiGagVM5y+C+xRrPOWeaip+w3Ah5cLnObMFmPg0YsaW2rTIUbKMjA4tnSaQQRGNlzJWl3ht23x9g5y4mPadJ6NRtobOwHUTPXG4IMYbhceyJT9wwq1v79FtM7SgpW2RsQ0I5Z3WQg9sV9PdN5vmBS2f4yG0nAJirBmwrOEOnB6qHCUvVgKmi21UuwVTB5vBio1l/9a5A0ihRGH3GrihWWBLau5BrChIFjSDpq0aefV4bsH5xTNEcUzJ0k4MBbp9b4/ypPFZXFpFB/kQFREox4ViMzxSZrwbESrHcCDt8x5Zs7VVN5W0a0eDMZgC7xtwmOdgyBGeVC8g21WABAwNPRxhhhBFGGGGEEUZ4dOKhk5gaYYQRRhjhUQEpYN+b3kj4m29sfnfniVUOLtW4qFQgThS/+mGtXnKWJzm52mCm7HHJrhK3H26lmz1vtsBjz55ASElO0qNyYEqRpheON0yFekpInSCrXUoZjimZzFus1kOGEf8Z1jmYuQGrL+unZqidntUwoRbE3HVyOIegIQUrjYgn7xnXKUG3gK/99P/H1376/9MfsrTIhQJX3XsDl7/tTR3HxrbL4Xd9ANpThB0/Tu7GrxCNlQmufTLYLSJ2LYyZzFlUgri5eXloqY4htBKuaQgqNU0gXqwHBLHiZDWg4BjrRs1/N8I2BI/ZXd6ySuj8mp9uKm2lU/Wek3/8E2EDR/PDDXGS8MBClQNLmyM59FxH0UOUMJVW3RID0iwDIBR3zm2sXizExgp9liEouSZ+lHSMk4+WflMsT7C2tDj08fn8mVekf7jCNiQT+W7VsfVxKnsAQTy8smLneRuPPd0bnevdJ1Gw1Ih4/7eObXDVXfCOz/DEv/9DLrj5i70/X3cD+UKh46ssLWUzPatSuKbJeZMPfTtzNqFECI8SguVDiEQpPnrHCTLpwGHIlBoPDXW7O6tCP5xRW/k049GctrT5aN/zLLhz88qM1gtfjCEFhlLNDWopIFYKS4q+xJ31IIUmvGQECyl0W8mIrwq4Z6GWKpgqgkgHR6zXnmwJQRevofOdKpRSTORsakG0pUDQINYksfbL+nHSQ9SSQqcQJi1OpiYGOs32ejOIlWZqaD6DglqWy3z3Oc213XpXyUpz8O/+BWLFLcdXBhy5ObTTBA0Jt9x7lNnX/jTG6iKz45Mc/4t/gHTOqkcxGY9stujgmZKu17MpBFHSV3FtzLG4YtbiZDXg6FqDkmsy7q4fKJQotWFAwJg3+BqbDaPK0mdb1YBdEzkmCu4GZ/TitIylQ1yjEoQESQL11uEiUwdO1wACgWcaSAGNSHL2hMdcVffnRGl7fyl9+WdPeNy/qNclEzmLqZyFIeHy7QX2jnn4keoh5rqmZM+4y4XTebYVHKJYMV20aAQx98xXKHsmMu3ci7Wwo26CNJvGZTPFlLTVSZBrR6JSojCa7CpUK524mTJSRFYBXRVZD2KWqiFhlJCkx20mRuKukxWumB3bfGBFSg42pc4Oo8cLQRhq+9exWmPHYt2n9sbfJxImxU9+tPm9aF2qiQ/91t/jnXM2v74t38wukpGs+yFGccuxlg8tIyHlLIPzJvOtOeEv/mRzz5fCEgKM1v01SUgTCJ2UaOqlz5rNGRm5yTZbY/RyLWDMszCkYLUeUg/iDjKkQhOr5eVX4Nx6JyrRZDhDwFjOohHGTWJgNxJg/upLIdw4cLZxzaXkv3gzZc9kzY8o2QZ7xx080+DYWoMjqwFfP7jcHFv++ZtH+KmrdjYJh2Gs+5ZA+wMRiqSt4cv0+atBjGUIyq7DtnxrnCnYukYyP1emZv6Fu+b59G0n2DHu8sPX7saQAtcUHeTgnCX1PZWgFvT69GKVIPuQ2bphSkGjjWg9DNY71pSQsw3KicWEa2tl3USxUPW5+2SNlv6xVtY8LhoUbJOZgs2Ya1IJIkyp/a36FnpWncpb+FFC/oVPw6x0+ka8++9j7/Ou1Wr5X/wG+UKBMEma5ODsXkuNgG0Fu2tMaH3Q5UrojtKJE0XYJ1PFpTMllNIkvZa9pTrIwaDH50yN1rVCpjyno59rdeJWSaKE5sCVtTMntV2kgGqQNBWL2+tdt8d+JFjF8WrQ9GFP5VuZGmoZqXFlBevIQeSFF1MsutqvDhxcqSGAPeM5QL97zzKwDclCLSSII5bqAZYUjOcsGn7MlGsyW3SxDMlNh5co2Qbb8nkqVZ/9iw3uX9QBGztLmsC+f6HONTuL3HRkjZPVkIJtUA0Tbji81nyGB5bqfP6BRZ559gSW1BkXuttgI0xwzN41sCHB6JMKypT953ClFMeqDYJY8aUHFogU5K0ljq/5HF0LmMpbjLsmSmkbqJi32Vd2uW9Bz6k5u9V+yp5JPYyJEsWRD3yanT/4TMyqbr8DrZ3JafIf/299zJBroPyXb6J69UXDHTwkvNSfMGg2zL63TdERvDXmmQRRTDVImK+E+JFiomAjgLlVnRXNtSRTRYe95VbmmZJrYkpSlfSNoO/uhwl1P8JzOv3dpiExDdFXLVeRjc2tJ7MN0VR6b0S6f0WpMngm4tA+7nltZYwThR/HHUTeiZxFGOu6k0KT67cVbCp+1PIV9cH+hSqXzJQ6xu1+fRpgMm9xshIggOmcQ9mzAMFUzgESjq75WIYOGAjTfj7oWu0w09Q900WbgmtCm69aCk04fjSvzUcYYYQRRhhhhBFG6MWIIDzCCCOMMMKmIERLHSTzgwRRQpiSOlWS8H1XbacexHzm9jkeXOyv7mKbkv1LPncv6N/3lV3ytkHe1ptgNxxaJVKwzTNwBZw9UxhKIfV0wY8S/DTFXz/ncYaCbXD2RJ6lT38RnvYYVKCjt3u3t1r/Hvz09b33ixW3HKv0qGzpzUHSNFvp37Jzq1UgsKTgxqNrSAHjnolEIKX+TYp0066PvKKgtQG5rWCDgDgpatJVLSR48vdw8Lm95e3B7Cy1F/3gwJ89S/YoAAshqIUxsa/6boolSa/C0HczthVsLt/Rqxy8GUwWbE6uBTC7A/bfu7mTp7dt+b4PF5xYa3DLkZVTUg9eD36suPX4ajM9ZX+C73Dj2GItpOxZLNV1etZCG0Gs6Bh4lsFcJWCxGlLOWU1CW8k1ewIeHqn4h8/fxkuv3DH08TfcuxFJtBNSCDafvPrhieY4v6lztj6n+lFCpJQmFpxmREmyqbG/7FrsKjkc7qN86ZhaHW+1oTdvqm/+Q8pnTxLFqiN168MdYUrIfnS01ocfYqU4ura++s53CnvGPUwpcIywQ73qoYLYVH6MYa/56EW2UZv/2Z+n+s6/3PT59gu/TyuYQ7oGURxerrFQD7lgKo8pN2cDVsN4iACKzWH3uMOh5fWVhl9wwQRrjZABgowbIkoUfpygkkyNL+ae+WrHGHjhdEGr3bYHSQnF7XNrfa7Yi11jLmNOZ2BN+/WPfODT7PjxF2HNn+xQ2eo+rvoP/8LUeRc2yTmnA9n0V33P38Nf/hl7234zKxX2/tAzUcDJX/hV6i/54eZvY47VJAIMguyzJMyQpTX3+8yNWVr7smczXXAARTQgbiFLe6yJF4MbQcExMAaqXQ7XePKOZDpVm2sqDZ6KSvApDlDDNvn5WjC0unZGNpzyzI4AlkPLskkSObBU55xJj0OLdQq2wc1HKxjANbvH2F2imUo+s62SJOGGBxZ52vmTuKYmVhUcA8uQ+EKRs0yOrjVIFM3Agn6YqwYpeWVjJEASa4JcRvbPyjOe6yWKVxsRc11z81bI78uNoKmeNyyysdyUEim0ryIj70VdRNY1P2a+GsAvvZHFX3oj03/wG3hf+kJHmb/5qv+PW698OgC1WkgiFP3ifuIkIWmjxq/6/e3UWhhz6/FVrt45jlKKarS18acWZoQn7XfRKsb6nn6XwmU3ibTdhq6HCav1CIHuQt39WgiaqtrZv0KAaxmUPIucbZAkAUKC6rL/q+94+1Dk4AylZzyWsW/exlXbbco5iweWahxfrVOPoOBIdow5HE6JuSuNmHqUUHIM/Eg1SWKJUk0i2rhnUQ9jgigh75hN5cYogQMrNS6fLVHO2SgUB5dqlFyTME46fF9Zvz263OAr98zzhHMnsAyTC6dzbC/aTfKaPkqT+YUQ3DlX5bLZfEqml2m/WX+Qyoip9SFJwusdYxu6r7qGxCs4CCGoRzELtYAghoVayFllt3l+nChyVhbUoBv4bMHmRDVAKe07FUJgCKFJoU+/uvk03U8lsod56mOpfurzMDnZLFOmtn1ktYEpoOhaAzMvnayGTOVttuVtJC018X7zXFYGx5IoBWGUECVwwVSe/Ys14kQxnrNYanu3x9d8ZgpuMzgpQ6wUUZKgUJhCIIRuWxmJMbP1MjdtGLcCJzL/76C1sBCCHUWXRlgjiBNWGxGTOYt4aZ7cz/8M1rHebGHy0qs4/Ofv4OyZcaJYr5GT9PrTeYeKHzXHAik0idKQgtUg5OaDy1yzb4L5akA9VkzkLJbWGrzlvTex8+xpnnvVTg6tBtgpqfQJe8Z47M4xnrSnzMfv0lnIcpZke9Hm2FqAY+qAl5m8yb0LVXaVHHK211Nmjd46iBMgnbfa35tpCMJIK8a2+98Fgq8fWCFKlA5KUooDS3UMCTtKDtvyFqYQ5FM/67FVnyOrPnvHXXK2wZhr6LpSUAsi2qfuIx/+LNx0PXv+92s7ypK+KHj/h8hfePGAZ1sf+ZvvPK0k4axt9YNp6D0GO1Wtnlv1sU1JOWcxlrNQWBjVgOVaxFojIk5Uh+JzGMdMFWHXuMcbvmcfRUeP640g4tjKxtlJ2lV+T1Z8Zg2BbXauedbLwOZ0B5gLUiKwap5rG6Jj3yGMdUBclKieMdAzDa6YHQMBUZxw58m1pm1uGwLHlMxVAjxLMuGZKHTA4rG1zmeNlc7sMVNwmiThbXmX6bziRMXvsAMNIZjK2cSJ4mTNZ67S3zeRBVbBcCbrfM3n4rOLyK71gSm1fTkiB48wwggjjDDCCCN892FEEB5hhBFGGGFLaPkqFYdTFc0s1eO5s0XiJGHXhMc/fOlA302chTWfs2ZKHE+dHg8s9RKJJXD7wWU8y2B72WumC30oIRDkbSMTlWtzYLc+HFqpa8Xhr99C9Vd+Eb74OaDXlRkVChz50Gf73seW8NidneqF/QjR3U6tbjzzvGm8LarLduO++TXuOrGx0ukg5GyDvKVJ31lKVIC8bbCrpFOQAhxarRHEvTtktTBmImc1N2G+m7F73OPyHWOnTJLPOyYn1wLc33oLjZ/64Y1PaIPzv3/nlO79HYVS3LdQOaX2PCwsQ7BzzCNO2skRLUSx4tKZIred0ASWSc9i3LO4f7HWM2YYUqeNW6rp1NE5y9Ck+kRvqE/kLGpBzGJNb3xN5S0MIbDzFmOOVodox3I9ZGHA5tnDFR/81tGhSMJ3HNXv1pCiR2FwELKN8EcDEqVTw0qh1ferfoSVpnjupzgeJ4pYKYw0BfBm4VkS8wztJiil32NGzhgm3eGuMbeHIOyaksfvLiKEVoQtuhYzBRulEqQUeJZkW8npDehRun5qfjS08taZRpxsnKZ9hEcnbEPgWSZHVk5N9X7rOP39/LtmI3IjKd42KCCRkmoYNvt5lCQs1cPmmuuhDJQ8VZyOserbx1ebZIV+qd/1fN/53WYCwIZ5M0ff9wmApkJcO+Fk6ft+lLWf/2UAJoe+63AwpWD5Z38KvnH9uhT9mXf+OXz7Rsb++m+BjGS0/rUTpZumnRL42oOFGmHSJO+thyglMkVt9S3QBJPMBhsmAMc2h1GV64VrSUqeSRirlFiaqtCehj4yvIL8Q3efRMGaH/X4AMI2ezdOVRu/8YGPMbNjmguf8Fgc1+LeuTVuO7bKj6W29PYxh3oYUQ/gqr3jmIYkb9k0QkUjjFmu6QZUj2LKnsVyPdT17VoUbLNJAAVNLl0vkHoQpNDE/u5n7A5/GGTPb/Yd5WwDd4igMD3eSPwoadrQ/dQK+52XwZSCj/3Eb+L/6Bs7jjln0oOFlsLzIGXtehRzaKV/gH0Gx5BYpqCYkp79SEFpHObnNixrN7KaTNRwWT6GuZ4h1ydyNY9VaCXeWoidpo2H1tjUxN+/c3OFiGN2lD1QmpResA0cy2ySOs+b9LhitoACFmsRJcfQhCuzd+5SqA6Sln//IXa/8gcQqe/KAw79xm/j/q+f4PiaTzWIWK6HHWr/Ck04vnZfmXoYM7/m8/dffJAfe8Iethd1kIpnSlbjmLxtsH+xjhA6WP7Qis+5kznytsFXD6ywbzy/7tylSXHD98mN1haG1L5H25AkSq+njld8VhsRUsCecZfnnzdFI04I4pi8bWJLAz9uBSsr4BuHtN/jeedPsq/sYQhJ9bGXDh+C9oKnM/atu7h0m9V8flMKwiRhoeYPJAdnWPMjpnM2pqnXl4v1kN3jHvcvdmZsi1SCLWVPdiZTGlw0XdTjn4SKH3W08flqg6JtoVAYQhKrhKNLQbNcEzmL2bzbM0cZhl7jNW0LpYm7QZys2x+l0OOva0mKjsFCLaT2yU+y7a1vBvqLVXi3fZPcc56A+q/PY89spxEmGFKrkguhydaWFJyoheyfr/PyK2YxDMnRVZ9ztxU4tuoz5hjcddLn8GrAYsXncVfspJB3+NgNh3nZE/Zw9c4SL75guhlQBPDCC7ZxcLnKWhBz4XSOvWUXr2vut1KfWXt7NCVYhlYz726nphRa6bmr6YaJGtimf+ASnf0uShLunq8wlbewpMGE15uBaf9ijXMmc0zntA+lg/wtJBdO57WAR1a/z3821ovuIoxVk/CdvQfblMyMOa13r+DISo39C7UmQTzLHLBnzGuSOLNreN++G2NlnhNPeyr08ZlvFkJAwTFBKQxD4EeJJsLHOjAhaCPV6qAIHTikyfE2rmVwfMWnFsTUgrg5Xre315liS1XdtQwkG2eEME1JGGSBBnBkqcHOsttBEi6nGR77mfpS6PFMpeXO1g3lvIUlBWuNXr9OlOixuZ+pIaQgajYwwb5yngeXdZBAECtKrrYp9o7lmhlaqmF/kQa/LZpOpgFffhizs+S2KY0rTCG5d6FKrBRTOavp++1GlKgmodrfYN3jmpKnnD3VQw62pJ6rRxhhhBFGGGGEEUb47sSIIDzCCCOMMMKmoZTehAKdwqyvApGUFFyTyYLNfJ/I5+Mrfkf61Ha4UuDXAw4s1JhLI7Dn1nyeedE0e6fzD+kGeT+HTD8INPmON78V3gzO/By8+50YSwssfv+PwjXXrn/+kM+0mW0bpRRRnLRdu6V/ZcozGyq+o+Qy7ui0inGqBhnGiqm8xbZcp3N8e9Flza/2vY48A8SURxpsQ3LxbOm0tXspwLv6ShqeB/WNCUcKELaN+bgnnJb7n2ks1cNmOjYAlOLmw8scXV1/s/V0oWCb7F+ssmcsN3CMk0JwxfYxkkRvIiRKMe6ZzTTBGbrV6OIkYTJnESWqhzg/X22Ns1N5G9fsVcqaLshHHEEYNEn4E//ybt7zx2/u+e21b/gtfv6X39D8PO6ZFFxLpw6NE06u+ZtKRfxQ4nQWK0wSbjy0iCEEJdfiZNXHNXW60Ct3jfeoBSulWKoFWyIHm1KwJ90MOROIEr1556Spl4dJnfi4XWPsKDl4lsF8NeAz3zzAD7355Ri+31RKTIAAwYIQBM9/Ibv/9q8HXs8wNkc0eyiQpeJ+pKvqPyxmdQH1MG6W5XhlY2Wj/jjz7+K+hdrGB51JiKHpG0PjVNTLH1H45OfgBU8f+vBD//AfOGt+R0rbdphCPgQtbn0ItF36UEFBX3JwVpbuX3KWMXBD/VRw5MOfZdwzqQUxjmnwmN1jLFRCbj2+ijdAcfdUsPyBf4Nv6Awug3pL8/svX8fKp/6T/HOfnxI1Nm4liWqv1y22qq6Cmamqo4ChyJgDL7QOLEMrRY61kYIfDjBEZ4YfIVrKhoNQsE0so6XmVwvjgYQwBXiWQRB3rhPCPnbKtc96Ard++WbmDh9nfHaGyXGXyTGX6w+v0AgiVBTzqqfsQwq4bLZI3jJIEKzUQ4I4xo+UJhCHMbUwoeSa2FJwbNXn8lmng5hTcvormg/08VgCQf9Avn7TwqCWmdmuu8e9lNyjCT5KpXdW7V4P7ZeaHXNZqPhUGoNzh7gpsczcZLKe9uvFSX+yUT1VCRTA5bMF8qlSbRtnrBkgtxFMQ/D4vZOp6q/k0GINPvJJeOpjN1fwM4Qo2TiovR3LXWva02Hn3vvSH2H1z/+GY2nwYNnr3P7K5ogLt+XwI4WfvkXPltSDBNMQPLhUZSXLylOpsOeHntlX5Va+9Xd58K2/SwJUX/trfPuq57PYtaY3w5hEKU6uBQgB33vFdq7YWcKUknOmcjQi7bM7uFznM/csMJGzKab96/P3L7Xut07ckSlFM/18hkwhM060urohRXNsdkzRQ5gruiZVP2oqh2f2SKI0AS5SUHJMdhY9KkHIBVNFDCnIS0neaq/jVk0ZUnDNziLH1gJm805TJIA43tQovvrmN5L73T9sfo4SRSOKWaiFG7aZveMeUkjCWCGFzpRW7WMn3DmnA46vmB0j6qroZrBW0lITNyUUHYu5SsCRRLe1THF9Im81+8FiLaRgm01Sf/MZYt3mGoFW8m5EmrS73tI3Wwt6pmRnweXASg3zwfsGkoO7v1t9ztOxr7+Vgmez3Ag5uFwnZxks1CNWGxH3LdS5eFueFT9kbtXnqp1lEqWDh05UGlw2k6cRxtxSbbASJlw0W2LnTIkwUewsOX2DlPaW8yw3Qg6v1HvIwQBOmh0jIwnHqY8sa5+J6iQJR4ka6B+ohwmWodcaQdQ5GxkSbp+rYAh9jflqg7LXG7BxdtnDNWG5KyuXIQX7xnPNdYwUrX2RMFZN26f9nvUwoerHFFyr+TKOr/k9Gb/GXFMTVvvM6zt37mD6wQdQSnFgoUblqi2oCv/LhwGYHXOQQjYDtE6s1ptE6yjuJtAqjiw1yNuSapA01YTHPYNGpPtSI0xac56CehihFEgJrmWCEEwV7Z5sAO3wLNk3OO3YSoO9E7l0ohSM52zGPIvFStBRfwKo9jnfMvQ5AKYhqS83mt+bUufIGWSrqq6vXdPg7IkcUZyQs8w0mL2OIQU52+DwSp35asC2vM1ctfNZlxsR1mqD7SUXKXSQgkJg9ckKU86ZzFdDkrScDHDdmobOdFnxYy7aVqQeRsxVA/woYbbgcGS1wbaCzWP3TPT47GxjuAD8EUYYYYQRRhhhhBEevRgRhEcYYYQRRtg02v2vi9XBjp5KkPA9l86yuOaTxGmKNaU4vtzgvN3jnKj093asrNS57ehqx3dLtZDr7pnnRTmLicJwaSyHwenyi2QO3QyN8Skm3vx7TRJfECusNG1Xu+rNZglWG+2X3HtyrbnTVGlETOZt7AGOp3K+VY99Sd7DlC1Np9Z+pBACPvD/EOeeq68jJfvG8zTiGNcwep55PaLIfC0gbxtDp2B9NOL86QLWaSRj7Cx7mIak/F+f4d6nPHXdY7N2kfu3j5y2+59pvP1LD7Lqx5wz6fHzj9/LbcdX+fqhFbYXdPrOMw9FNYg5WW2wTTgIet+d9r3rjY/9C9WBRJYJz2RXOcehpTpxHGOZWiHGktqp2z4euKZkMm+Tt8wzpuz6ncSLXv5KXvTyVwJw6Uxp4MZZPYwp5WykFFimxGtED9vx43S+JaVgOd2MzlLaVtLcxe6JVWaKLgLBRL61STJbcjm8gUpZP5hScPd8hfOm8n3nl9OFjLw0DOEpUbAjVauxn3QFP92ngeiSKlAK71Mf57bdH8eYneWcr35NK6dFuu1AK8Dm4QbTeGQThIejrp15HFqu87E7T56Wa+XtrfcB1fxf+3etL9qbcTtNV9D6IBA6fbGEveNO84dMlUoT1QSWITvrX3WWQSvc9RK7JlwLKUQH2aq9nJmCVrNMXWXu974LttmrEHgKyO5hCJESmltIEsWKHyFU7/2E6F++9rA6KcAQBsOO2Nm45dkSZmep/p8/hzf+6oZlP/DbfwyzswM7SMkxMWSvWtpDicfsKvHYHTpg7av2Et86duazMqyH7qoyJNxyTK8fLUNw3mQBgcCQcOvx1a5jW6mkh4UUOqWwH8U8uFhrkoLrYcJ03sY2e8MaFZokkaH9d9cUafrj3ueJ3vLbmyobb/xVzOe/4LQogA4LQdrO01sGaeNUpGmshVbFVEoH+vQr20o9XJfsu286R/Oi7QPfGUKcKJJEk17ax+eNatUyBY2wddQw72E673Z8rkdRj5plO8wuNodSiqfuG0coUCkh7bYTFRbYxqXf+1x2Ownn7ZogihL2TOSJ4oR6GOOZkqPLDZaf8WRYWGA5vV6Uy3H4vZ+AfB7Q6wqgg4QzXwsou51qi93rEV24/rO9trUGDWLDv1sh4DG7x5ktDUpJ33tlBZRci6ofD1xDZCnT62FCFCdYxnCZRgQwU3TIWwZ+nBDHyz3H1CN9vSt3FFFKUUnXJhdMFTDbBomEhBPrEKlAq+7OV312j+dIlNLjWaFA/3DrdbBnb8dHy1hfgTxRkGvr882aEZ1vTyn9jjrJzgqlxIbqtoKN/V3DwL/5ZhKlg9Pnq+FA4vVqI6JgtUib9SBpjmuzBZfdJcHywhLGDz2zWb71yl58+5/ynMn38Ik//lfylkHR0QErlnCo+xH11QYvfNwezp3S/p2iK5FSYBuSu+bWOLrSIEyg1ghRcdLTv0zZSbzOAjISpYMz+ilkRm3svTBW5CxBLdRqobHU7V6hlbYnCzaTBZuVWkA9TDrIc7YhSBSMOXZK2DT61qtjShxTNBV3AXYWXTzLaF6v+swnrVOT/aE+/h/QRhBWSrFYC/qui9qJ1NuLTgcRL1Fw7lSBW46tbOr+AnhgqdpBLHYto0e9OCvOQjVkzDWbgR1L9YC8Zfb4PuuBJgXHiQ422SguNk7VQxWSgyt1amHCntf/XLOMwyB+/S/iv/1dGAKW6hFffnCFMFGUPZOX/PFrKD94r36G9D8APBf+84t881iNs8sel+0uU0l0QO18LeKy2QJhrMmejVSB2UsDIfwooexaTHgW9y1WqbX5ZixDdNRJGCXEqnMGSZRu205bRgmnT6au5jViANUk/Gd1s+brdzHmWiym7+2OuTUu3lbsIAkL0Tn2lz0doL933EO1rSdiRYc6bqOrjO3PBLrNzlV8jq/2BqbOFpy+Y59ryWbZhBBsK9pUnvFs+Nx/9332QchfeDFF1wAhyB5BAeM5h6qvRSNmx10WKwG1NrKtZYgm+XapFrJcDzuycHmWVnk2DclaPWwKHBgSdk0YSCFwN1grDwrKThI4sFBj90SbsrIQWGZnS3esThssg1I6SMIyJI5lMFWwWEzLt1Gmk37d0JYGrmGQKF0vZ415WBKmSy62IRjzTHKmyZ7xHHfOrVENY1xTkrMNEhQPLFY5eyLf0d79KE6VpnUd7Sx5TOd00HsYK5JSQpjAqh9yz3yNcVcHQpZcE0NEVIIYCeQti7PGTDJ6esExRuTgEUYYYYQRRhhhhBEGYkQQHmGEEUYYYdNodyjsHPc4tFJnoYsoXAsTvnW8yo6SzUrmIBMSBIxP5Cm5JiervQThMVPwuS5ycIa5tYAP3XCEVz5t31DqKsPgTPLoMlUfpRRfPbCCbUou2ZZnrhpweMVnwjM5e9LDNiTOkESJjZQUVxtRh9LBZK43ZRp0prIbhJJjcu5kjhU/ShWzJBLtCDUk5J5ydSdZJYNS8LIXUxWC/E136N+FwDNbZkcmYLxUDzm0QdpsJ92g3ArJbzJnMe7ZKX1GMF/1W0owD3MIAVdsH2Pn+HCbn8NdU2Cmbc056yzO+9J13Pfs56AavSRBBSjLxv/HfyN/1r6mgz+KtZPy4YpMlWr/Qp3f+ORdTYf9/oU6phTsGnOYztu4psTQQxK1MGG+FjJbsE8baWm+FjKRs7G6+MFNpSilN4G6ycECKOcs6mHMciPiPMtg95irx9mU+FlyrebfAtg3kSNnGR0bFv3wcCDmnQ7sX6hw3mSBfnv29SAhUarpeJ8o2EwJQcWPWKgETVWfR0tdDIP7F2ocWq5z2faxju8HqVRuhEakyVCWkBsf/BCjenV/RZ1BPSM+fpx7zjuX/A23AbpOtApN/JCqZA6LJFHNTeQRHg4Qpz0AoexZG6ZKHoSzJ/rbC2dP5DpssNOB9k33raAfgc4dsME7LMI+I3s1iHnPzce2fE2Ap5w1zhWzpU2dE6QkAeeFL6TytKcRPONJ0MfWih2Pw+//BBQKwGDlzVU/OmPcyAnX4tzpHKSkrnoY04gSSo5JECfcdrxCgiZ7GhmR7TsUiORZEteUBLFK0053kg52j7ucWPOZzDnYKemkXyCibfRX7loPQaznh5xl8MCiXrtsK9jUw4Q1PxpIfJvM2a2kFm3fqwEE9Wpla8Rr6yEOIFGw7higVCcBQ6CDXEzZUq2ME1ipBSgF/z97/x1vWVbW+ePvtdZOJ99Ysau6qrs6Q7c0SJORjCiIioABFcNvEB2cGR3j6BjRMSPK6FcRHTCgmIiiZEFAoBFoOsfKVTffe+IOa/3+WHuffM4Ndau7Gs/n9YKue3Zae+0Vn+fzfJ6i7+L0KQtWm3Gb3CnSYATPkTi7PD/HiWajEVFtJZvW4TAlf7EL4S+b9aj+u7dJHyJT9oajMzlacR0pBSebMSfvX6MSKK7fP8XegkOYGM7f8nhW0zbWHXii6nUu/+Znox2Xk+/++NB6OL3eJNaaPQWbFtsSlwaJNqPGsXFmjGFDiu8qhsnnHSjlcISgFSXpOeNhgFaY9KT5HniWY9UmLVnTBhZMFzw8R7XJhg8uDhK4BZZs5kmJEIJAGb72mjkeWGlwx/kaBttm9hY9bip5Pd95Nu/2kIPH4fBUjkrgcma9wWI9IkkM642IWOsOke1Nb4bXfu+W7gcw+573t4lnUqTEQ1ekAUOmR31TCbtG9pwsBf0glGDo3qwDMxAY0Q9ni6TszWEH2I0sWNJR7C/bgAWTBkMZQ5p1qBfZuOZISeBKnOdtjcyajQLB0gJP/YUf4v0//gbOpcP5+pllqtWQh85v8OQb9iH3CAJHIIQkjDUnVxr8xadOWAXrgs/JhSprjYjvefpRPnVijVsOVzhQCggTgxIdAnaiO/0v70rGjUNKkCoMG2aLLqXAZvsyxpBo0x5Xa62YlXq/cmpG+DaWmNsI2VfMDYwTeVeSGMP+qYAHFzs2PpG2tPZ8vLK8pTodh0jrAYVXVwkqgUsztrZLX0kq/qA9NE4MV87kuW9IUEYlcIaOYULa9jnruujUHjqX96hHmhOrjaE1310/G62E+5arzOY9yoFVE84IpUIK4kSj9eYEeS8loCoBl1Vy7C841GvbWzckH/9XVpohZ9atfSnShkLY4CWvfelw+y5AowlfcwvHvvm7Wf7W7+OrDhTxHMWRmTyeanLT3pI9LdIp6be3bWoMzchwpJKnkcScXG2mpGS3h8ToOoI46pBPXUcylXMJE835tRa+I3HkFpXG20EfMXcu1trX1OOkZ7y6d6nK1XOlnjlqKudSixLynsIYw+MOVmiESZsMmySGxBgcKXtsKq3YkHNtP8sghCCKNauNkM8cXxkoZslXBK5DPHRvZOsArF9hYT1k+rffyMpN127+/ilm/+avMY5ko5lwYrXBmY0m1+8tUfJdqmkf2l/xcZWikvdoRM12XShp122ZMnL2pTJ17EakUcqq5HcHFCQaas2YYuCgpOTIXJ6FjRa11pB5eMyn1AbOr7fYNxUwaqUUxpYMHsa2D9mAPZMSvTWutAulvG8zgTQjPZYkK/oKlXNlOmcIpDBpPdi1oJSCEysNHAFlz6EZWWGYK+cKxLFmrRVzqiuT3UIaaBW4go1mwt9++TyNKOEl189T8hyktlnjjq81iRPDrWfWeebRacqe9SXF2vb9SuAxn/cx6TcK41QlPi39M66Yn5CDJ5hgggkmmGCCCSYYiQlBeIIJJphggm1DCGtcCBNr7LrxQJkP37PYPh7FCbfdswBBMNLAuVO7xHozpt6KKQ0x5u8EF9ONutFKmMo5rNQjKjmH1UbMrac32seXGzHLJzcQ2AjvqcBlKuf0pOssBwpfyQ6p1UCzS1LhsoqPTo36OVdyzVyRMDE0Y83nT29PFaMfrpT4ymFP3oF877FRJKweGEPt5uso3HpH+yeN5vR6c1sk3UyFea7gslyPtqQq40rB0Zn8gPP/YCnHWnNjxFWXDnKu5HEHp9tqnxcL/pEj3HDP3VQ//WlO/diPEZ85C4Czdy9zv/hLrN/weErpuZmBP+dJogsgBV1sdBtC+0sZa8ODK00eXLFG2r1Fj+mcw50L1jn04HKDG/YWmckNKl1vFd2OhUhrXKlQAmpRzFI9ZK0ZIwVMBS4b4WA/MFglkqy+//2hFb7qQJm5vM9GSlxYaUTMFTxW6iGXVXLkHMeq2vWlNBx6868AHKwEbYdON5ckSVMLx0mCl5LhMmdnOedSCuxvxsBaI9z1lOCXMqKUTHXnuXUOT+UJE80DS9vWGmsjU940fWwP64zZZWLtFrti7Sk37+z+SULt659L4d0faKsuX4oQWPLGwygQOcFmuHBO2ARd+IryWYpMTdjgBnncf/t8+1CtWqWQEoJDncBiDVfa4B+AapikQUyivQYGUvVP1XZMIxhKJhiFSqDYaCY9a6PDUwEvvW7P2LX1VXM5nO/7DvJ3395WqLzRcbnrJ/6QxoGDW37+biDnqnad3L04OIfduK9MxfMwdBTkpDADXXVLWVL6UG0lzOZdhICZvMtaM0Yb01akG4mRe+ERA8ivv37wty1g4w/fhPM9r9n0vF0bsrZ5I/tNTDvFu6ssuW25ZutvrRFTzrltoqJNAz9Yt3NFj1zX9kik7E0hRI+S6Wbr+OVqizDRRLHZFrF6GBF7N+p0p/fIu5Kcq9hoxTz18DRPumwaKaAWJbTSdPWusGSlxZsfA1FnTOmuoezfMo449MJbOP5Pnx76vPPVkMVayGP3lW1AwTb2hMmYeh72teoj+lYz0jQjKPhbd2nEWrM0JDg9gyV1SaLEBmL5rsJ3O/cXAsqBM5AWPnAFBtV1nuDodJ6j03luPlAmTDQzgYuQcOdCL4kvP0RVseAqbtpXoZtmrVNSq9ZwsJJnX8mSoFbrUU9bLDzpKdR+4Ifh/75h8wr52GfSgJz+b9JFasOSwJQSNEJLDnakIBxFAN/8qSAErrKk6UxdXKWk+0QbvF0gCBtAPPEWlhtR+14FV+H02YWUAKVGE54Blm67bVvPzkb1/Q/d2fP7Y4/NgzG8dKbItXsK3L5Q5b6lOs+5apYb91dYa65TrzbZO18iNvBgLWKpFvInH3uA73/m0TaRUqfdrVcZ2CJTWE20Gcg2EDiSVqJpxoZ9FZ+c1922OwHkUaxZ2BhUN3WltAIDxrDWipgv+APPl8IGXc8W7FrGU2m7TYMJartgP+oOTusWTlAC9pcDHCl4cMUSk6uthOvmSyOzlRW9QXuyFHBkqjDwbrHW3HW+t/9eO19ECUnJU+wvG06vDwaBBW5vJrQwMZzZaLFYDzkylcdTKiXMD65TwNoEW6kab0bO7FY6l0D0e7/TQ9zcCgyk5RUcmc5xer3Fy/7bSzsZQcbgir/9Uz7rzHHXs57PM45OoY3mKZdXmOqyz0eJJcl2Py8LABRCkHdcjs0qFhshJa93HM/Ud5W0Y2QxcJBS0EzXr0IYaqHZ0vtKJQhchetKYt35fs3IkkaTtA2FieGBlRrHZgrtvjOb99DGcOVckXLOIYmtsnw97AiBACgxOH7EOiVjShtEY0n3EQLYU/A43yWuIgUcnS6MXM+3Io02mjgxLFdDNLbtz3zxLpZvvGbTOph7wxvY96QnAYbFjRCDpuQXMVqwnmaf2lPyCDyVKpIrDkzlWKmFGGNoxTYYz3ckBV9RzLkYAyvVFmFi2/ZSPSTRhpnA61l7LVbt71MF+/ueso/WhuVayEaz0y+8MWrQQKpmboO3V2rRwDysjV2LCOwY0VFANjTW7HimJBgNniu35E/whSDnWoJxp2ydC6fzVuFXIMg5sNGypOP9UwFap2tdCfXlWttumxjavpBWolmshSw3Ilwp+NypdQyw3oxoxVbhfTn9Pu+5c5FnXTGFIwXHZotoY9uNFFbVvRw4fPncGqvNmCMzOa7ZU6Z/l5FloJtgggkmmGCCCSaYYAKYEIQnmGCCCSbYIbptC1kUuMEab/7o77/IiYUqL3/21ZwdcX1rhAFsM1tNwVMDKTYvCBeZ2KF1SqLeV+BTx9eHKqYZLJl4o5Vwoo/TOxU4XDOfZ0/BxVGCaivhk/evto/ffLBEtZWwp+hydCpHrRUTJdYAdrDsj1SlibWGzUzJIw7Vnv6Ese88cP4rv4nyX/8d662obbDfCRZrESXfEjf7jYLdmM27zBd81AiS2nXzlvKaGcwMhpNrjXaqz0cae4s+jzs0tWVFod1A8ZZbuOajH+371VBdrA9JG/twlWpn2M7ocK4acq7aMdAnBr54tsqzrqjs+Pnd1bPejMkXXRpx0qNQkxhYGqMQ2S0EbMeHmEAp9hZ9Tq030alD9arZYlvNL1PCCMYY2B8hwb9dhRI2hV6irUP5tnNrA4TJSt5lZohaZuawEAKm8h6J1pxYHnTmfaXiS2nq9XuHkKq2i/PVkPPVwRTIcwWPvX1psy8UW262zZ3PL5w+hcAq1ifGoITADIQYXDz4jhxw2mQEbG0MOlP9f5QRUvuL+3AXvb/tZH9vlr53ggkuJjJyMECYMhEcJVmqR2110lasKQe981hGiJXCrhUDR1FwnbH9KnAkz79qBoCrZgttYmycElsrvjvWUV7/zldQuu2LA31JxhGv+KXvwQCfePvH2r9PBQ5CCKYCp004ynpe2XfIOYOEuGG7ETPk17VmOJB1oR/rrYiC20v60QaOzebRBh5cqZMYOFQZrrYthQ1IHIZE087e0MHgDHWokqPQRfzzlRwga9n7jaj4e+8e/vsmaH3uM/jf95pNFeaV6KT93gzjphwx5D7amIHU2sOgDQPnaWMJjxl8Z/jsvzhk7RG4MiWyDD477yk8x+pXKiko5Vy0Nqw1tp9RRojh2Re2Q9TvRiaEbIDF2uB7dc4TbDQH9w15V7bHizAx3LNU4/hqk2ccmaHgKoqeTe+9p+hx4rU/0EMOHoWs1vd978s4++Z3DD1HG7sO3HORAlmNMZxYbowlFMP2CXHj4ClLtIlTcqUUCSYjnqcYTiTv7SXd10wFnbEk0YPtZlj5Y21VSoUQQ8nXtq2JkeUpfP9rSL7rO2k+86nQGrLHufo6Sm//uy0RpAyp2n/avsPYwBDBZikswct3BOuNZGxdC0w7UID0TcLE4EjbH3ZDBF0Ahd/9Q0rVBsv1KFXAHCz4ZqQ0AZhve9mOnm+Am//q97n1lT8IwJE9RXSseWCxxq2nN9rf7jMn1rhqrkAl76IEfPLeRRylWE3tBE84Mk2oO3UFw1Wag1SFNow0ibHjpxSivV82xiomV3IOOc9pB3j2BFYbw/n15sAauU1GFdBIEk6tN5nLe/QPt35Xfa7VY6SUloipRBdh78LQinSPqnzJdzhQDpBkGQPg8BQcX22wp+COJAdn6J/jrpsvDfQrR4mhNkxPyfZ8Ox14lDzFcjOiESYUfMcS+EdMyFFiOF9rcVm5o8LgOaKtBBprM0Kd3Y4RrrKEv0hDdN/9OwuwW1vGlGe4b7nO17/+B7ZEDiY951ve/hv8w7OfxyePr7G/7HPtfGngPK0NgWNVrYf1Mykk8zkfKUTPN9AmFSSIbVBHd2CH78i2Su1mQ4UQ8O8nVil4Et9Rqepw93NSgY35EpHWHJ0tECWak8vNVO0a9pUCm83OQCvRrDUS/FTBGWyASLauVlKkRGir6m5V6XXPmGaAfcWAmbzHcj3kfC3kMXvLY9dtjUizvBESJobE6DZpXBpD6fN3sPHhD8H/+MHBC/ft4zGf+ffuGmGu5BG4kpVa2K6LmYJLIXCwo3NWz4KCr6g2Iw5MB7hKsloLcZS0fUpYpeectn2+Hibt7DcVv1cZf6UeUcq5qQK5QErBXClAiRar6TqsEelNs8icWW0RuGLsGrOXHNyLrI63ul5rRBohRs9JBjgwnSPRBiHAUTGBq/DTQM4Au8d7MM04UvAUcaJpJYYHVxo0E82egsfzjs3wbw+tIoTg6rk8l1UCGpGm5DtM5V0qgTvg/7Ljd5YxzX63W47Mte1Gw8jBl2BirAkmmGCCCSaYYIIJHkFMCMITTDDBBBPsCB3jmuHOc1aRVQCfP73BYx9/hFftK5DzHFabEXcuDBpU+1UHM0wVPKbzLisDDlg4UAl4+S2X7Xpa0YuJ9VZMbb2BkJJbLivzrw+tbX5RF1abMf9xeoOvvqzE5+5fRgpBUUmSVMVDa02SaM4t17lqOs9GmFhjU9Hj8HSeWrPjpDGGtpGrHuo0LecOlgK1bZLL7r6Duxc2rPLxBWKjlYx03M/kLDHYlXKMM1v0GL4Ftl5cJYFHniDsO5KbDj685ODREBQDp60skeGSJ1ZdIAn28qmg3Vd2gnqYtB1piTGsNlu0NmNrdCHj08wVLGlnoxlz31Kdq+eLVHyXBdViT9Gn5A06vbRhl9KyXppwJRydsao+BsNtZ9eHnrdUC5nJ+2PvJYTYsUr0BJceaj/yugu+R/V3fwPzuh8FIMIqH+W84QSN3ULgSnRK7tkSvnK790XBqPiWXev6l/yEOMGlLktccB32lXyW6yGuFMyXfE6vjQ9cmS/4zOTsHLdZC1RStJXOlBRt9UGJoOJbtdZRzu/ay74e7r9v6LHuan3aK57Bn77p/QB8zdEKQoiBtN8AFd9h2AcZ9onEkF8TDSubkDofXGlw4z63nfo3Q951ibXhhj1lwBI/hvHCtLEBiReC6ZzbQ/YYNbzrUePHU58Bd3x5+w9+1vPxlKQxhIjY+9xB0tFuIeeNT3F/sRDGGs8Z/ux6mFBPubeuEj0k5O3CU8PJKdtRIAarniqE4Ytn19HGlmvc+l2bYQnvbZ+uRxolLZmsHiacr4a86dMnEMBzr5rhcQfLRMbQeP/7t1VG/9SJscfPbDSJteZgOZdmM+ocC+OOwuU4XDYTpHvwXgghmMo5YxV/OxhF2t3slw6UsCTVTJDYqtjaduW3SfCC5pBg4nYwF4bVZsRCLaTsO0zlHFwpcYS0Cq1yUDN8vRkjhKDo9ipvRokh2CKJfxiKhSLqk5/f8fXbxVzJJ+cpMLDRrI9dGvXrpGb/ysZJZ9hr//CPwBt+c+sF8ixxfTbvsdqIuGI6P3CKq8YvDrKU8tULWOc99mPvbBOEP3LHArc+tIoAbr5mT/ucL5+r8ZefP83Bss91V++lce8iG82Y1UbEnpLHsX3FEXfvRT+h3Cpi2/VuM80wZN8Jlqot6q2EUs6hknPb+2EJ7JuyhLe1eki1ZcmQWT/WBhaqLa6YyY+c18Bm/+quNimG9NKnPQM+/rH+XzdF93hZ8hy8suwjOVuy7nEaaKARxyghcKUc2PfH2nDj/goPLNdYb8XsKXrkXNVz3GD4wplB+60SDJA6Hak4VHYIYzte5105UtQg7yoOlDoBtVKQXpcST500SKBvDM0UtrPflQRn/wG2H+4CVGaYzTlcTY7pE/dv61IBqKjFhvQpegolZM+Ynyk9S6GpRTGJNlQCtxPwmiLnKppDGlMj1ASuTEUt7JzpqsH6yLuSetdvjhI0opgzG002UhGTWqiphZpK4FBtxW2CfWLgSZfPUPA7468rJUraTAXn1kPAcG69hTGQ96QN6JXgSEvODOOUCJwGUkg6qs+t2Cqi9wuEJAaUkMwXAvYWA0Tfe7iSHn9HmGj7vzjLlKXT3+1oOvf85xJ+/g4clRKH02aupODsap35UoBSnXmsGLj4juTkSpNKzqGSd+mfIQ2wsGEXTieXm+Q9e+89pWydJSj6Lsu1BoFjyy+Fy9mNFvlUbTib2z0lUnJw991tdq8w0USJJkpSYRXGryCbkelREe9GVu8Z0dhTYmjmJZMSw1t95O1+GCDn9Lavbkhh3yt7t6k0YKr7lp4jOTZX4N7FGrXQZiHxE82Dqy0cKbhxX5EDlRwvvG4PW9mwdgdHdBO6s2MIS1jvrkclJuTgCSaYYIIJJphgggkGMSEITzDBBBNMsG3ojpAIjTBhPU3/aIzhpv0lPnNyneVmwlP3FvncqYhjszlOrrVoxh3FByUHDSCeEiw1Iq6ctwSwL520ypB7yz77KwHPuHZ+18nBu6FSshmmKjm++9c+hBTwLc++mvxcuU0GetmPv5LCxooti5T83Y/8FrWj1/VcP1fwUFJw+WyB9912luUuZ1lUr+C7irvPVfmrz5ziR194FV93w/62AdzojnE0M1DmXImnBH5qAN+OIGHtz/542+9vgObaBsWZygWr9PpKDFHvgsuncxQc51FP+HvcZVOpg/vSwHTeHSAIC5E6RS5RXtSFtoBGrC+oHUXaKjqUfcVqI2a1ETNXcJktuKl6GWDoUS7uRmIY6hA/vlLn+r0lrpot4SnQZjDFMVjHyCiiwkgyysOEku9ysJwnTBLu6EvTmcF3BDlXtVPPdqu1aTM8pXg/zq43uWqIkk0/9MMxAUzw8OAT/QroO8BfvBVSgrCF9Wh3E+gywsA4hZsMgWvV6Iw2Q4looxxcE1x8HJ7K8b1POAjYNcqZ9Sbvu3tp2/cRQiBTd/5UzrXqW8ISMtfGZDqYYIIMGXFsruBxbK6E1gZHCI6vjlZEj7TGVR0SrZKDpIlheGilbtXc0iVOK7btdCrn8kCqcDWTd1ltxNy4/CAiJQePWxFle4jveN2Ledvvvmvs87uJgFlq3O0QK7d65hfPrnPDnhJZyV1l96iOhJVmRKxNzzq25/2GpIoeh3rq8N9oxUOzxIzDqKVm4bWvo/bH/3db9wIovOwVlzwhfifwHUkY65HfP1Pdbm6hDwiydfrDCwFtwqcQlvyUGMNllRyuFPhK4XYTnA08sFpjIw30Ncb2zcVa2LNH2WglzKTtb67ost6IMMCegmsVyLXh3oUqql5nazTDTnkNEHzqYzSf9Iyh58wVPGbzXpvY7ClLVokS084qtRlJWIzRrCzmXFbr0dj95lI13FK/k9DOCSGAnCtoRKbdB2U6Hsg0pXgz1hgD59ebxDol4Uk5kFdCClistzi91uxpVyuNqK2m6ErBDXtLJNqSnruDHFabMWvNmOv3DA9+3ike7mHg/HqLgqdItEkJpTvvY8mQvWrhu76P2h/8/nBF5CEofOoLQPY91UDgtepMg23iYUaizRDGeldtHRlRtJQbdMPddq5GzpW4UlDwFK1Is7fs8zU37CMyApFoPCVpxglunxKyAKQcrkifEQozcnAj0j39caMR4ymJksIS4YVIyWSCuZKPECFh3Gu7u3w635vqCGsXcpRo79e7P6EjhwdVFH73D6ndfN1m+cx68aY3EzgSIQxRYr/vMJtNPY7xlKAWJu2An8NTAUXXHSQJJ4ZDlTwPrVbZXwyGKPZqXCkG5g1nCMFcic74B5BTDktJxFzBZj5aacQUPMXBco6Sr3r2kr7buydsxgZXGZTsJSKrLsKpIwUPrtZY++bv5vK//ost12PPm3TV4XbHja/92e/h7F++h+v3lDHGril9xyrEZjYWKQT3t7NoNTg8laPkdca7cSa37kPDyMEA9cgSideaISfWGmPVZdeaMUVPgbD95YrZQg85OCvQ4dk89VZnnFYCkHbe7r374CJS0wnAyrnWljVuHtTGkpEbYULgWLtBmBiivkAvO7bKgYBigy1XzrX9eLrgk/McVqotGlFCIzLUWjE5z2b1qLVSsnbe48hcPq3/wY/Q6itvM7RBWMu1iFJiKAUuSgkOz+RoRjG+q9hoJsznfVQqZJKp5s8Wgl41fgMPLNZ77p93JTpdp2+2lEuGDMyB22kfie4Qs10lkKbXDpP5ofxNFOTBtq/jqzWumC0OKA8H7hA5fQZ9K9fsKRElmtVGxJHZArN5j6deMdfOAtcNacWZEUP+2w1jOj65bGjKxtJszM/Kcgm5FiaYYIIJJphgggkmuIQwIQhPMMEEE0ywbXSMlIbbuhQVhBAUPWu9OLHW4q++eL59zJGwt+jRijUFTxEoyaFKwHIjZDbv4WJYaSVE2nDr8VW0gcMzOR53eIqr9ncRvT75UWbf+bcklSlWv/u1sG/fBb3Lw+FAiQx801OP8nefeIC3f/BufujlN/OKH/xapOk1SCmt+ZZf/28AvO/7f4Zzj3sazzg6hcKy5PbP5Pj+r7mCL59Y491fPMtXHaqw0ogJIs0NB8uUUtmbjWaEknKkE7QRabQWHF+sg4Ci7zBTHK+22cY73r6jOii89x/gO75rR9dmkAIOVgK0EXjKphHM3IpCdCxf2RsHrtySsxhgT8Gn4Kleo1rb2GaoR0k7BdrFwpWzBeYKW/wODxOktOnlaq2Oc6hj9N7cqPpIYLsqXt04VPE5NhtsfiK2PeZdm0JOCtpEfLB9qh7GlDyFqwSLtYi5vIslDruUPJei53Dfcn3k/fvRiDV3nq9y5WyBMAFvuE16rKPlkRa7dKUgTgyulNy0z6r4IeD4ap1GpNsO+Qvta2vNmK3IQIdbVW2dYMuohTFhLsEbksp3p9hSu92Nxp30OsETbdpO2CymKRvzrIPaku4zUujA7Yxpq+h1O/oCx6YEv1jk4HLgDFXk2y4eKZ7ZdN7t05bruNqixIwl9gvRcZaOgzGQczpt9PKp3I7Lm/kLl7uCl+YKHr4StHY5kubIdJ5GlHCu2trV++4Ij5b4ikdBOR0pOLcRUm1FVFsxApgtuIwSgl2uR8zn/TbpKSeH6e0OYr0Vs97XdHKu4p23L7Tb8bHZHPcvNXjsf33VlscAATixDXrKnNmIwTFECRskVY9i1lsx56shN+4bn1q5/zk7QazhwZVaT5Bi4MihqnWjspSMQj1KqEcJAoYqxe0YQmxvXktTq/eTOobhUdAlgGxetQr74/YcD1ds6Lignpxr5/U46VX6zVLGN0Pdo/ho9w6ihygVxprmn/0R+p//mVhK7nvi81gtzuLt2w9XXskXz9aQwhIN95Z8KoHCU5JQG4quxBiYznk8Zq9dB996usrVc3lWGjGz733n9oh4Kcp/8WaiJz+jhyg5k3eZzXk4UvZkMrEKvB2SsxCDpMX+6XutEVEKHDxncM2YJAZvCwSeraD7DgaQUpL3DbVWJwBRyUFl7WyI6CY7dUMKwUMro4M5wNpiztdClBBp/fSi4Kle8tQuQorhQflyyPDS/eeoocfQIVUHrlXPzL5plGiUFBgEjjTEOlXCdCRGQzPtx5uNP6PSvxc++XlqX3MLrA/PHtM+79Y72v92hOSK6Ty6j9DqSEu0c41BSdvGulUuo8TgOraStpk3ayQyou0V88Op+g+tNrlmNiCXs/1rHrh3uQHLDeYLLo8/WGSpHjJf8G07MvbbOmmWACEGlciVtHNSMGL8jLVhcaPFVN7F6VP5FGl73egLdsu5qmccFHSIdsO+nDsmcJlrrkPcdcfwY/0QgpmnPZXEaBRi7Lh/ZsMSybvf+fhqk5l8wp6Cj0rthgJbR+thxIFKbqgqskCyr+xzYrWXnN6KDY6CjD/tSIEj7ZgRa00jjqmFCQjDYs3WYc6VHCwHuFISJzZ4KU5Slee+uSULTl2st/CkJOcpAkcRRvZbR1pz57kqvqOgUkG7HjIKtzzGt45dQytM+P/+/STPv2HP5hcMgdpYS8cv+7enBM3YWlJF+r5h3wLv+GqDJ1zmY4xVth4XvB4luj23DiPAZ1hrhty7tDWbWrYOFMCRmcKIswSOkkixNRLpqH1pIzIEjsQYGzjRT17OudLaWgOXQuCytNEaqTitpM0cOAwSmCm4uI5s28SnCh5JtUUYJ6w2IpZqkSWfCjufRaloSCEYtuY1LG10NgtK0DMXJ/WYwFW4jkIpQVG5FIzBVTFL1WhA1Xax2kIbew9Bx6bSjUylN3CtQvO4zErZmJbZ+R0Frb6glG4SfTPq7asqDSpzlBibRSVDwXf4wpk1js3mKXguWhuqUUyU6LbgSm/t9UIIwY0HKmmv6IUSWcDk9taymWCHws7XXWboHoKyqx6+NfIEE0wwwQQTTDDBBI8uTAjCE0wwwQQTbBuZwcEYWOhSwTQYHlhuDSVFxLqjmNmfdrYWNrnnoWUKgUPOVW0jzfHlBvVWwsfuWeR//dar8Zq9DpjKR96PAdaf8VxWf+qXL+hdLjZekhKEAV78X14wRi/Hlulr/+gXuee7X4c6+m1IKci7imqYkGjDYw5ViBPNP33ZErCVgFaS8LjLZwhcB5Noaq2IyFgH4WItYjbvoITb84wkZcJuS1VU7Yz0FRcKBMOsgdvAlbOFXSWdZRBC4AhBxfdGnuOruIe06EjB4akc9ShhrRldsPNyOudy9Z7NFU8fCZQCp4cgnKGRKna0RjiEHo24fCpgq+5zbWw7yMazku/gO/baZqSZSlW1MofyYj3i6HSOZqyJdUjBdSgHzkhHwDDUooSHVutcXslb4/gQgsswVY1LDf1koAOlPEpa1b+S7wxVCd8urMLi+PHikSa4CyG4es46p7pbXYfEYU38Zuixrvswei7r/72XmiAG/tm+V/p/7fl+1I1TEpgxKXEAmC94BK6yynCic74lFggGPEfYwJaRWdGFITdEZaUb9SNXYO65a+w5m6LUOwabrrmx33k0SCwb3e/CNinCYIwYSkrbTeQ8dcFEk3Ft6mIjS9E5DEvV1tD5KMN2AoO6sdvEnMWaXe8qKcY6tbcDARRch5wjLw2C8EXApT57BY5VuNo1EmgKV0oasebWU2sjzyl6issqOUtuo0MIdjZRD66H49cYS30KnfcuNTg2m0Mk28/48YLf/O+0fu9P2gNIfy19+fxGz992L3TxRxtj4IqZArefW2eMuBwAi7WoZ46t5JyxQUs5V5JPCQKNSBPuoN6GwXnHu4i/+eu3fsF7PjQwT42q2VFjpEqn50sluUL3d2hEqTJhX8r1XKo6t+WgxW0M9f33HBd4kp0nhR0nwBJcwrij5SawKpHD6r/24udhTp1s/+0AT7j9Sz3nGODzz3sFC9/4PRzvIqvtLXrctL8ABqJ03ZI9IU5VB93m1gMSOw80iCgh5ylyrmqv9fbkPRDD12SZgqRICev1TYJ11htxO1PN0bl8D5PFGHPRAvkCV1HKuTRaMWfTqAklBEaYbbX/WBuunS9y58LwrCgZTq/b7zU3ZH1zIYGt48qVc20g27hv0E8o3RKMVWVsxcYGW3mWrBrGuj03Kklb7TJKn2+VZPXYTEkCS6rv3ytk+xL/458BDMvPfAqsLHddKPH+9p3krjhmdy7p/GMM+H2EVik6ZO9IQ7b5CBPTkx7JMZZYxsu/Df76L7ZXRylOH3ts+99ZW775cIXr91e4Z6nOZ0+t40rBEw+VOVAKuGupRiPdqWUzyZHpgKnAoRUbWnFELUzIe4rlesQ1cwWctm3MqmZm8B1L4Pad0evinGu/0VItoh7GzJX8NFubIE40K0P240mie54DlgTvKNEOkuk+muiu89Nt4d2LNW5fqPHct72D8EXPgYWzm9Zl4XO3twmWEZZwOSoWMk6Gr9OW6xHaGCq+S9l3EQK+cNauu66aLVi23bBnO87Q9XwtjJkKbJ+OEt1WJT+53mAjVaC1QUcJ0zkHhLBZGwJwlGKpHrHaDLlqtkiYGCqB0yZlh4nmi2d7yfAHSgFzBY8o1ty1aMecbM1x7qdfz/6f+9FNA0GyNzj1q2/io3ct8OBSnYc2Ih475pqR93I99pdsYP3AWCJsAIU7xOvsuZKZvNc2asSJYbUWUmslPcEcGdkaUjJtYgZU3MFmcgjS8Waro9mNBypD937Zuikjs262rsi5g7Y4R9l1fRjr9rHM9m+AgieZLnrtYN7bb348emGhcwPlwHs+SGFPh7htbFQRw1Z1hUDh9VV0Zt/OebI9B+jOcoSNZsxUvhMcm93Z/lewfzrHg6nKr9enbh1rw8mVJoErKXqSZmwopn4cQ++Y0R2cEHWtj3Ou7FFpzzIsNCON78hN13TNNENBM9IIRJ+1rBd2/hDkPdEV0GKIkg6RfdyzpgKXsxutARL6Yi3kCYemybmKsxtNZvLegKpwVq/ZqCiwa22xA1LwKAhBOzihuxYy4vEEE0wwwQQTTDDBBBMMw4QgPMEEE0wwwbaR2RmEEDz9yjnqkTWAfvH0OlfMBFwx7XPHYoOzG+Hom3TBGEPeV5xZHUwbuHhumTe++QcGnt2Nysc+QPHTn+DkP35km2/y8CEy8NInX85/+aVvH0sOho4h6ao//V0eeuW3p+mjrNEYrKGnXPJ59g17WVlv8tBSnbzrMFPwSIxmsRHiS8W5mk0tlhjDWitmNu/3kLVyUqCNYb0ZkRhDYmC9GSGFoBI4NONksKTf9xr42Z/c1rsLYP+3fBO5YsBac7wDbRQuqwTbJwfvor8tUJJjs4Wu2rBKsDnHYTbno40h0klKGE4VQ7aI/WWfrzo4PVTh55GHIOc57CkZzm+EGKMxWUJYYdNxZs7wKDEDTk5HWWfKw6lcu9NanMk5uEPSRY5D5niPEs1GK6YWWqdz4EjKrkOkNI1YknjWUfpAqjLlKpt68fBUrk0QLriKepRs2mzXmjFqGjxp1XO6ReY2Va+7FJtYikTDY/ZYVeFqGI9NEbkVNKPNCcLRVmULLxKkEAOpYi8Z7LCt5F3JTHFrKtzd0NqOMaMxvj3k3/4P1G6+btvP7cE7/6X3ibvUXxLT7WC8RJhXj1ZcpOpTUrCv5G153bpVSAFT+TQ4S4AwsNaMNk2fOgzTOTe9jeDIdJ4HV3ZA+BqBTDlvO0ETl/B00otdKGgztg7rzNG/2xkUnC14iOeLHdW73YKnZDt4sxv3LjV42g7uN/fQvZxksMoDRzKX94iNZsr3uH+lRpgYlOiQ42RKJslYiLHupPA2xvDQ6vba+0ozYj7vtRUBtYa9pYBTKVHPGEM5cLq2RYb1ZpL+e+soeKqdwnw72KwNFY8dY/VHfwp+4/Wb3+ynfo7CDjPqZKTbxJi2cucwpbtLAa2UbOs7Ekdawl0j0gTbUJnN1Ot2k5PZTdnRZjShyFVigKhX9BXnbri6517jcPO/vJ0bPvYu/vK3/759/rOvmKYSuJbgLWBv0efepRpPvbxCwZWsN2PCb3ol/h/9/rbeKwRe/KkP889SU8p3lBY3a7utLlJ0RhqbKbgUfUuQM8YQxQmn11uc3Wgwl/coei7nN5ooYVUbizkH15EUA4e1MQT9caSgse8Wa0sM8lMV5sSSW3cytjtScs18IQ2UGw8pBIWuFDAi3cRVUvKgwKouJ9ogha3rngbW9e/uLBcD75eSXQN3fIvaNjk4fXyUWDJqrA3NcJCUN0xxeStEaNtHulhsXch1kesLH/zE0OtjbVDS1qvWZmhGCd8RNKLNy5LtEQs/8TPUtkkQzu4evfGPeXyY0Io1+33B0fkCNx6YwpESX0mWGhFffbDMnjSDVDWK+eKZXlvZkemgl3BrDHFatmaiKcru9mSbSJCqrhqGK3E6krZyMnT69InlJo6EmZLP7Wc2mM25AyRKa+IarD/fkdT66tr2/97zpYD33b1IrOHxByL2vP/D1D7yIfgfPzi8Mp/1PAq/+bsDP7dig3Dsu7RfPg1GLfoORd+QaGjFSXu8/+S9i3z10Zk06KdXeCILalCpoVbrDl9cScm+ot9ePwBM5RxKntsbRBLHHF9t9ARdrTViDpR9ZnIedy5UibVhuR5aZflYo9K2KrHqzDlfsbARoodQYU9vNNloRe2JQoqOynn4pKez8spXM/1Xbxlej3Spiv7hn/CEqw9QZZFDMznO7jAwe+n7/isiSnB9q2CfvbcjBXvLPl5Klny653Jitc6Dy7bO/+2BZV50/b62Ar2jBHPlgDlMqiycIIQNIMmCQhvR6EwCe0sB07lOFjYpbNtLtOkwMI1JA6AMeU8RuA7VZoSSdg2k0s4j03YAEHiyrTI/Dt12zqyMcZ+NyQCBI9hbCZBp0POXH3sjZnV18IZJDC98JjUgeOtfI6++Fu26eJK0P/ViKt8beNKMrKjIasNmJBkWCFLwVXuNnZWve20kBBydz7Ow3qI6IjBXClisxQSO5OxaK91LdoQAhBi9HmpEmpKvrNJxak8lzRrRTgJmoBEm7SCeYffYbM7OvkOsDXFo59WMjJy992ZiKUpIpoYEC260Yv7j1Cr1MKaV2OCAJ1w2xd5yh3jdPXU7cvdIwYNltEEl3W8yJhZnggkmmGCCCSaYYIIJJgThCSaYYIIJtg9HgtHWgFQKXEppaqrnXRNQa8X8+/HlbTneyq7k1jVr+AkcwVzRZ7ZoDV3f+z9fBYx2mGW/q1aDvd/xYs697V3bepeHk+Dw0qddiRqaXGoQmf/n8hfeghaSE3/zL5ipMqfWQ06sNVlpxLgSbj+zQSvWLNcjSjmHJ145w/GVJs3E8OBKg8VayNOPTHGonLOqCn3OKynh9vPDSbsHyj7Tgd/zW+HrX0ptGwThTIlgbqZCtAMVIEcKrpzJd6mjbB1hYhVuo0RvOX3xKEgp8ft+a6bOc0vKBF85+MphOsgIw5pWkhCnxNlIa6LEqiFF2uBIwQ37ylw2lbsoaUV3E4XAIVlv8uBKvZ0idDrnMhN4gGA1Te1X9BQFz2Eu7xFqzR0LNbSBm/ZVLopC0jDspC7n8i6P3TsqzeBoZGkKHWnJW6vNmPfcucRj9xZ44mVlSr7HbF6CMLQizZ5Cr5NPG6s85StpyTBSkBhtieaNiGasqaWegOv2FJFpysMwMQSZU0XY9K2CTnq+RyuyFnLNXEfJVSDQGL7Up6KzGbaijJ731I7URicYjZ3y1/oVV3b2cMGFRCMUir1pfzM1uUeBKPcEKXY8kxq4+UCZ9961uJvFIUrMgCL6bN4lMR1FyQwZOaHkOxR91aPAqqSgmKpDCSEouA7XzReBTLFtkKCTKe6FOmkrWo5CRg7OeXKsSmYGV14cB+dFwS7030ibHpJNlkFht+aPhPGkxf0ln2CHGTzGwVGC28/vHtF8VADkgXJAznFYbLQQopP6NzawEUZ4SvLAcq091k7nHC6r5Ll7YYNGV72X/K3XwVK9RZxo5gs2YMWqtvVe35/BYa7gkmjDyhhC4oUi70q06ajijUPh215F7SXfCM96EgxTJnZc+NC/DcxdW0Wm8NnfSaJkeDrsSwWtWNPClr/gMJDCfBykEByezXF+vUk91MwWPQq+Q6I1UayphwnaWILKVr4RQODautLGKqcaM7wvh4kh70nC2LCn7OM5ki8fvaJ9fLMhNTvut+p88898F0tv+0cAlhshe4s+2nSym4QpgXO1GeM7kuXYo8TwLBTDkBjDR5p11ozhlmv2c/vp7Qf4OrKjdC6EQCmbar0WJixstKiHMSsN+z9PCa6dL7VJpY4S+A5tAtlI7LCJrjdjhIDpgstM0QEjWK2H28uqlBXBMEAUHIdr5vNt4twwVBtRT4auURBAPY7JKUli7Jo1K78UVoV3M4X2nCtJtCaLa95qv/cdq05sbRhwbq25K/OhlIJRi+5WrMfOk1JYm0yiDYkZRx23dTLsXs04ZqEWcqiSw5EyVWU0yG/7LvRf/Nm23iUuVRACDpY9NloJ84UKYNVlD5VzFH2Hr7t6vueavUWvp1y+6upD2HWXpyT11DbQr2jbiu0Yk6ljDkNGtM7GN0f2Bi7EGv7y86e543yN5x+bbWe6yaCkbWvd5PScZwmi2brIlVad2ZGDxMQvn68Sa3j5Y/YylxIbp57zHPjCnUhhVaYDRyClQGvNuERLsTF84ew6MzmXlUY09JvHseYtH3+wHWjwpCtn28Ew3VhvRswX/J4AvpwnSRKDkoLADYi1YTrv4ktFnBL0AzcjtYOT9sVuzBc9pnwPYwTXzhe5b6lOwZftwKL95c4zz663yLkSzxEkRnJoKmh/4ygxhInGkYKZnEvRT1isheiuB65/92vY84ynEP+P10FX5r12AMvsHOd+582ULj/ElBQ877o9NKKED9+/QuK4OPHWiMLZ/cKv/yaqYcKJtSZKwA17y2ht7cvN2Aa9+46kkvOo5Dwes69CNYzJu2rE2G6D33Oe3e8ErmK5GlJtxu1g22GE0P5+oI0dA1vdkrldz6i1NLXW5mNs/9ZpWBaD/jlj1BwigHLes2MccNvV10CjMfTcbjRf9XIolnC+5ZU43/lqqEz3HM97sofoW21GLGx0Z3gEnQa/hF028bmiR/9qQJvuGBR7rJxz03VRVgeSRBvKOfuN6qFu3yZMDK7qqJ8bM3xvE7iSvWU/rQuB0zMdis7+UtggnlGwwR7j551Ip8IMxiCFHY/qocZREKcFXW2E5Fx37H3m8v7QbCIrjQg/rX9XCk6vNdlXDno8Pu5FJAZnsHNDZ/qcqAdPMMEEE0wwwQQTTLAZJgThCSaYYIIJtg0hrKEj6XKAWeKpoOC7POnILO+/e2VL9yo7grX1JjdeVubkSoPlWsTJ1SYnV5t8wwf/dFO13W4Ei+dJwhg/cLdMRhx3lhQ2vdjnTm1QbSU884opJAKDdUYas700lHu/5flbP5nOe0ujufxlz+EDf/BuTmprvDLGEEjJU47N8sl7F2nGhk/cu4ynJJfvLXDHQpOZnMNc3uXseovVRoSjbBrcI9P59jPGpc2VKfFESUEtjDvqpnv2I86f2fJ3OfuEZzKTEmK3A19JrpjOt1UWtgttrIpokDq/LhaGNQEpBL5S+CMIHdN5h1LORe3w3R5+WMPqlTMFQPMXXzhHLUq4fk+Bit9JZ18NE6phMpD+/Fy1aRWsH46S7sAYuliP0MIgd0Av85VACslSPWIj1Dz/qhmiROO7CkfRle5QDBhqlRA9JCM7bglyjkOu1FEMl0K0x7TMqZUpGQbbULsyxirUDNdmunTQy/WwTtyb9lfAwF2LGwOpHIdhK3NAzlXAzlRzwDpJW3GCkhKTams7QvwnJ5TuzBuRpWK9IHz03+EZX72za9/05oGfMpJEh0Q1wQQXjn7CcD8OlnIMa25W8c06p8NE46AwWIU0OYqZL6y64WYKS1G6RhpHDhbY+ch3JPVI4/4nGueGjWrNVLlUpoTA/nMM0Nji2tOVkqLvDBBWs2dXAneATBG4nRXLuPmu6Nl1f69OmP3rjoWdZfUYhfDyo7hK9LRfJWA2Z0lAx3J5qs24pz0eX20wW3B75k1LGhwMCtpb9DlcUT3v0E14DLVmpWGJERXfwXNUjwpfdy3F2jBXcNHGph0HWKxFVlnOkZR9h9mCh+dIrtvrMKBVarL3E1w5Z3poeFGkBwgr0Ok745BLlc0ykkmhWITP3AZArVqFz/47POGJA6RgR4KrOm1CALURzwpSct+oMSEj12xlpdhWOO167kjV02GdpOtwd5Yb2Jzc0Io1OGKoot4oiJQ4uadsyV5Zim8lFZ6jKATdJBFDkhgaUcJKLWwr3AWOJO877fV5I0r41/sX0doQm6zPOswVPMLEklICR1JwFY1Qs6/i47uK2m23DSd+bwGlpbMsd5FyvnB2ncfsLaGk4Atn13rO1caQcwSNa64nd9ftW7p/hOGttY323489VOFLJ9bSWtna4C+7ggFEWo61WshqIybWhodWO+SofiXcxWqEoyI2G0IvZBqqhwkzBY+cZ7954Nn92FI13FRZd6bgWrtGqvrbCGMam2wnan/2x/AHv8/dcYycqnD44/9KcRi5f4vLaCHggeXhAR4FTzFX8PAdb+jxDFaF2AYuxNq2VYENEAiTLjtXF+F2pWUzT+0peKzW7HibqR1vJVh13OsNpQyKzphVH7NGcZWgGRtyniQaG+jUUYp2lQ1EVVKwUG/xUJrp5+6lKlfP2mBVR8LsT/0UK7UN4n/8u/QOw8vaJmIqxcY7P0jBWEJvhzIHtTBBA8MsRFIIrttT4Mvnauk7WVK9qySusuRZnSrsA+TdjktPYO2W9VDjO8NruZCSh3vEAgRkKw9jDF84t8Ed5+3zj83le+brgi+ZLwWs1ELC1IboKUEY6fYcPlt0KedcTi43BuYYIeCD9y233y1b17hKYLRBSYNyBcuNCCUl2piRtrRuLDciAkcSa92z/nCkoFhw+abHH+RtnzxOlBiOLzXYOzWY6eZstUUr0ewvBm27VntNnBgCR7Cv5BMnvWuu9WZMbDSt2AZlzBbcdkOYzXu4UrXXzo1Ic2y2wPE0I4IUNrigG911VvYG+2/2PaZSknKiTXsNc8PeEux5Gv6/3UpUrxM++8kQhu05Vi4tsv9V30CSL7D+sU9z9d4SYZTwHY87wOlP/jvrX/24Tes6Q+uGm3ClYCUd+BIDdyxscOO+SjqORkBEwZf4jkKl88F03kXIUYuCXsSJYa0Ro0SHfN4foCdIA+z71lwXmuVDyY46c+YTaEaanCtQIlUoNoZWbNqq09Z+JVDS9NiyfEeyp+zjpOuN07/5W1siB7dR3SD+8z9j/R//juDNb0VefhSwbaEe6lRx14oR1FvJ0LAQbTr2tcCRNKOEvD/oacm+Sna97yqm8i7LtQhXCWYKHn66Tt1Iv30z0u3gEqvGbIOrBbaf99tQ9lWCbQk67K/4nFnrtS3XfuR11D78L8Mv+JXfovCCrwUyO6pBSdkTGOBKiUgz4601Y4q+9R+5Ugzdg3tS4kpB1NfOpLCCOVeXAw5UAlyl2nUnxcMbUCuEFY6YYIIJJphgggkmmGCCrWBCEJ5gggkmmGBH6DdAWKUdaxzMuQ6v/Kr9vPXW08Ovza7BOo5vO7OB1oZS4DBX9FhMVVOec9sHt16e9H711/4XfuCab+f5jzvI6aUal8tlrrn6EFdcc5Sz1Yjlasip1SYFT7FcD/nWWw4NvZ8xhrVQ89n7Vtu/ve+u5Z5znnp5BU9t3QojN9Y2P2kIsnd7zmu+nre8/m8pzZZYXmvykVPWeR44krxnI/HvW6ghHEXZV7zv1lPte7zqyYfYO5WjHiXcfn5j+IP6EDiynaJyrRVxOkvv9f/+gcMvvKVdtlEwQCIVx3/yl7keQ5TATfvKPLBap96K2UygJu+pHZODL3Ws1GMMNiXcpa4ebGHIuQpHSiSKb7tpH2drLZa2mFa5uA3VtwvFTtQSAkcitiCrNZ93Wegjdx2q5Mi7DkLAYr3F2Y0W18wVkEjCTTiPviMINyEeWkWw0Z0lTFOfb4XAqI1Vy1pv7CzF/SMFbWgr5FwzX+QLZ0arCUsBeVfhCqs8lGjDSt3OKUpIlIRi4GIwqG2M38Oec3y1zmofoWu+4LG/FLSdMO9759/yI6/5rp5zHvtVj+ft7/0oaoiqyqMdZocv1J+KcycoFIvUPvaZbZOEvR//acrPeBpRottqMo9mPBpmlK8UbI1Ct4ObDkGsLSkh54kB9bYLRZwMVw7MSDlRYjDGOnwfbUr1F3OItemhRwoebgvlEQThou8MDV4SbI0AIYWkMCLN/P3LzaG/A2ghkUZvazxZ+P3/RyBlj/Jqd5vZO5VnuuhzptqiEaVE3sBheYtrSSUsmSHnqva7d5cv7yjuqXXIvuOQGHvOXKFDznGVJXLWwpipnItEIoyg7Lu428jVe3atwbCWtxWl22akU9W9wZovFIvwNc8eel2mAt75e3hwi6vYUpAVWOKXlBDGwwNi3VS9fBem76HIu+Pr3FVsW+U423IJIXA3XQMKlBIUlaQYjFaXs4HDpufv1WY8sD7cV/IJHEng5THG8MA3ffO2yt4plX3Gnh9+Neff8BYgUxod/j5RYijnHc6/4S1b2r83tOYPqmvc1aUmmSQJR+bSAOMusqihk7ih/auB4yt1mkmqZIugGSVsNC3Ra1QB+rc62bwkpRgZvDJuCz1XdFmu95KM867EUZLZUka866o1Icl5kgPTio1GxEptuCIpWGVLv0sF2Paz4QvI2jd+HTx0f89vemmJB6+7HoDL//xtlJ7xjNEvMgLj9ru1MKEWNnCFYCoN0Ojuq4FjyW1Zu20lNuAlagehGhxpiXcGu9e8vS+gZK0Zc3SqV1128z61dQg6QbDZ2OZKq9I6bO4TQqRZznQ7SEGYISOx6BA/bXCBwcSa1S6Gd/fIE2twDfj/+5cJfu6XqT7rKbC6MrJtNK84xrk3/Tm0Embz7tA26qbEsUSDUjbwK9G2DPN5h6cfqbDWjJnOucwXXZZqUZuUmr37gbKP22Unc1ICMdhx0ZGWyGiDIuz6sZa+d861c0NGWs3q23MkvpJcVvF53rE5JHZeyQiRe8oBIPC65kMp7f2T2FD0FeWcHSvVEPXgB1Y6hPZsvHCUsEH96VgeuIKHVhvE2nBkOo+v7DiQaIPrSKLYKkS70mYYatd7rCl4ipKSrDUiNNaWuN6MmS35vPRx+/mbz57mA7ef49ufcvnQb7fSiIi15mA5hxoIvBPE6VrY1rFmPQxZ6FprzOTdNll3T9Ej56i2onsj0hQ8a1s9MlNoD3iyaz0vsGOaEGkbTDPj2FgES5jOvpcUgn15nxPrDaZzDvN5j7xjyYmLN17bM6B2m7gMoOo1Wk94DLdfdx03/PP7qbUiCoUi6696Nbz1LUPrpqcmikXO/ub/Rz+TMlM5ziCFDUJohEm73FFi1fp9RzJfCRg1GxljOLFsSbSJgSTSbbXmVqokHCXaKhaPCGhypNiyaEjP+5ESgLVp95WMkKyNwUmDEXxHEDid/ZktX2+dSEEPORhg+Xd+Z9tlIgwxK8s0v+9V5P7uvbiVcrtOTyzXybuKjZadg2xmmd73bsUd9eVYG86th0wXDJWc22OL7qZuZ3co52yQYs5T7fcwxlBtdea87vk7e/T+Kb9Hzbj9jG1NE4LAU8wUXFpRQi3U1G6+bvwlP/k/qP3mr1L454+mgRUG6AgrZP3YcyStxLDUiFhKx/9r5ooEjhpoN0II9pZ8Tq830caOoQXPYX8p4NB0vq0MDfabK2HX4RNMMMEEE0wwwQQTTHCpYkIQnmCCCSaYYFcghFXY0Ik1Jt2wr8T+kseVc3kOTeUoeYrAVUznXOvsFqnilgBeeG3PvY4v1bnz7DriDdsnutxw8jaKX+VSb8XU19d4xyc+TeFDn+fJT76RhfmjQ8rda1DMUvedWG1xz2KNw1M+S/WobVDvxihFXCUFxlg1qbZz9gJJoNnV3/lT38x//+G39hxrxpoDlYC8pzi71uKLx1cG6u1vPnuKH3rusW09s9ss1u90vPvdn+TYS56K6vK69WtBJEGemU9+judJwcm1hk3za+BQOY+SUA9jalGCEIKlWovWRZLd3K0U0KOw0y+7Wo9JNMwUvc1TqD7SMHC+1qLgKc6styyRaIv16juCgrt1Ve9HAkemB5Vk+nHD3hIYwZ5SwP1LdRopk1CTGsKNTT9XDlwCpUaStzLnJly4uglYgmm4RZJSNu5Wch7NyKo9j7tuKnAGCA6PNOIEnnBwimakbSrn9HchRI8yyFItGkJgt/W9UrfvFGyD8NMNKWCh1hpaNwu1kLVmhNdc42u/+tohV8OX/uNzXH+gyE23PJ2//Pv37agMlyp22qJ3a3goFItw6x3Ufvc34E8HVYF7UCxR+Ni/Ax2ygCNF2ynY7bCd4Csfo76zrySVQLEwhiz0cGKcyu8oZOp+YPtaK9Y9ZAGwJECJ7cNZ9ojdmKO2g83Soe8Em2WMd6R9ar8q1FaRGEu2asVb1dUchDGG46t2bdVPqOkPRHSVwJFbX4PtBJXA4dM/9ms8+f/86JbON4AZo/LnKAEGTqzUWWlErPYpxm+33hqRtqnkjblgcmpW33N5l2as2+Se7uMrtZA9lfHrxDjR7RTGo8YSV26d2L9VBd9RSDRo3ZuO21OD7WsU2n0/6agCt/ft6VoyW4ddNKQkCz2M5IcV33UluI4k0ZaIJG1TG/meF2M+32yMAZgtuJyvttDGzim+o7anIDgEQZca8IFygO9atdEDZd/uDbo6x0ojouApjv/Tpzn0oiezHkd4CApdBMOatnrbv7m+wnuag8q0r3zFt/D2v34HCNHORjIKd56v9hz3lGgrhgog6au0vKuGrgNbsSHnpgr2sj/DCG316H4yfOBKSjmXYpDahMKE+ZKfNoBBxcTsV4Pte5W8R953WKmF1FqDxN/+wM1RZN3ak26CcHwq+4e+/TuY+6mfZN8P/EBvgYbgwdUGD640uGo2z3RuC8G3onevmb1jM1W9tIGqlmzZb+uy1Tm6MFqb9pjXjf6tlcDaxhACrQ2J1iMD7HVqV1ICPFcOrHciTV86+g6aUTbedchgw5AbEniw0Gix1r2n6yteFOt2FofCh/6NhVqT87WQ6V/4cfK3/QfG96m95r/hPv+FVFsxPlDyFZ6SPcTjzv1FO1BXZ0YEYLURWaKzgNm8S95V7aCRfmRzidaGwJUDc4vniFRxefDqRqTxFV1kU2v/bMaa6+aL3HygRKw742hiYE/Ba1eM3/URWpHGUYK9ZY+8b8nBcZIM2N+EgE88uArANfN5Sr51R7rK2k0Dx6q7t7ret9qKKLhOOxAk7moPYWLoF6sPU6I7gCdF21arBFx3oMwPPzfHmz58P//3g/fhKsk33nyA2XJvhquNVsI9SzUOT+UIlGxn6GjFGlcJzmy0+PhDq0znXGZzClfJdkaH7vWDpySxTu3jKaFwmD0ZLJnbkbZfmrQ5JOmxrI6irvHNd+xYf/9Kvd1uZ/Me9Wg4eVKM+Le+4w7u+rqv4+r3vJtERxT++49Ru/4G+Mkxa7/H3ETprX/F5a2orQLvK8E186VUjRta6WCujW1D3eq+Bju2iMTw0GKdg1MBsTH4TicjmTGGM6uDAWzNyLSDG7ayP7EZLba+jlLSkuQboSaMDDl3cB/UHZTUH6A0bD06X+olB18QjMHUakT/8LeIV72657kZOThwRJts34+MpJ61w5VaxFotYv90gEqzIRR8ByFErx9ACEo5t6evrdWjnjk3TKx6e86RTBes30cIwWUzqr1GEr3/hzGGjWaM78iegJtB2DkZDLcdPrK1ulo8T+2V30T+7/6B2jv+Ct5mie+1l387hW97VXt+65+J7lqsEjiSY7PFdrmVgGoUc3KtiacEZd+K2lw5V+ohV6vUH3apm/UnmGCCCSaYYIIJJpgAJgThCSaYYIIJdhFCdNJxuUryo19zBeNccaOMJ4dn8xyezXPbDsvx3152ExthwqmlOs969pOoLy+i5vYMnHfFfL7HQVXwFJ86bpUpZwsuh6dz3LvUIHAkR2dyRIlVO9DacOVsjqKnaMVJ6jC1jo/33bXE845Ntwl3OU9Z5SxjMEIgtuJFHAGBnbh/8/e/lz/8+b/CcxTLtZDAlRR8hy+dGq2qGcaak2st5gseM/mtTf+RNmTucCl7yXSBI3nr770PqlW+42dfhUodiQYQMzOs/N0/Uw81FWPwEOwpBD2GxkSD7ziUA49WrJkOBlPoDVOzuxRhjElVLFJFiW2QNjaa1mk5lXfJd6kyXHIQgscfmgHgitmEu86vs1wfrTzXjSPThYeVHNzdxWYCl+Xm5sp0VuFn+IBU9BRXzhQ772AEV88XqbYiHCnwHYXW1gmhlCAOUyN5X0r3nCsJY02kO+ncdwuG1KExpu05SnB6I7KOmzjBUYK5gkuSOq/2l3K0EqtetKfot1WXSn7EibULIzGMQztNeup12IoaXSN1AreiUcnDt4ad0rmMsQThUVhe2+DVTxtODu7GFz79r7ziRc/k7e/96I7KcSlipz19T+qgPb5U3xU1wsLrfhRe96M2jeYW1RLBKgBlfd1VIiV9XPrz0AQXDoN1cmttMOl08JLr9jCbd/mPMxtUApf7luo7JsE/ktCmQwTxHDEwP2VcnSQlAGbZI74SsNk4/w3X7aEcOLzlc6dGnrOZr7cZG0uU3GG1rTQjPvrACocqPlfO5nqeV/Lt+iRLcRzFmkb6EEt06tDbdkro9lIFw+xO1+3JkzvwdKI378FdPJ/efTiya46/w2Z9caUgThUFs+vOrDfYVwpAw5TvMuV31FgTY3Bkk6X61lSEM2RkhJ0Q5rvhK8lUzmG5EfUQFLvftxYmJNpYktsIVJsxK3W7LvRG5PjdKjkXOuucCyHpm677dAe97PQ+Iw9eJJgh/SkjFho6gbqNcDiBzqaWFqn6ov23s4sKp51ybl4JS7WI6ZyDlIL7lmtUApciu0NY3l/yCRyn3RemA7ueWmrYrCYZrDp2wod/8w/56W99IU/xA54f5JmSknWt+XCzwUdajRE6uPCxD38YGK4w2IvBUTdMDGEyOkXDVG60QnMjsiQeJQTJyAbX+b0cOKlCsB2HCoFLYYwC9Ci4SrKnHNAIY1brUYcgD1sK7K29+HmbkoMzLL7+V9oE4WE97YHVOsbA50+vc2Yj5LZzVZ53bHqrr9JGjy3GgEjJpZuNMwarvtydQaAZax5YqXFkOt+jtjpsye2o/vlp8DtmwToyDVxthJZIrE2aPcGVJFrvKKBwq0r/Rc+S1BpRQiuJKXgOxqSZbFKVUOh8o5Wf/T+skGXzUkwFLo4QnKu2WIw118+XqPgudy50CPOuFCzUW8zne4NOMrXmbtQjG8g7l3dppKqrUaLZaCUs1kJLHE0Me2XvvXKeTMnBo9FKLNE01toqGBudBodZIqaS9ltoY9Vsu1WDnXR/pE1H5XmjEaMNFHyHU33ZCVpJwhfOVFlJyawPLDd4zhUd20hn32f7ejamHiznhran9tmityU5UrTXEqE2LNcj9hQ9zldD6pHGdRX/44VX4wh4aLFOlGhKvrI2VmXnybVmjK8ED63U0cYGTM0XfPKO5ORag9VmTMlTlkw55fOJB9e4fm8Bv29uyeymzXjQJtSPWBtc1b2e64VO2102/7VijRD0kNqjxBDfcsPoyhqB8Itf4sRSnSAlzpdf+HWYF34drcUFwle8FDY2wPXI/eiPIV/6clseAyXP5ei0oBpGHCjn0gw8hljT875Kih6CMMbgu9ae7juSEyudtlIOHIqB4vTqaBtLRn7N5neEVSWuPfAAvPIbIErXkqUStfd+mEqpuKkdMgtESnQnCFNjAyeHqfEOg6QTZNzd9/qJr7VabdN7jUWzSfzWt+B++3chhmTa6xc/6S9jIyX0Z+NtI9Kc6voGWhvK+Y5dvjuYNJv3E2NYHbJmF0Cl4A/8mk2XYaw5vlIj59qxcq0Rt0nGRV9RDBx8V42cXzc+9q9bi8jKcPcdLDzmmnb5BcBvvJ7ab7weyhVW3vkhHCmYK3gs1jpzdTPW3HZunWvmCighWWiGnEkzKbYSmC74HJsvtc93JKla+9aLNsEEE0wwwQQTTDDBBI80JgThCSaYYIIJdhVKAKnCSxaTnRn7O06VPiWDrj8yI/yF4LGXT3Fsrsj/7xlXkiSG2ZJPog3rjYi3ffohluohZ1ZbaTrxlAgkBe+9cwkNXD4VECeGRqw5Mh20jX1rTc3ptRYam/I3ydtrIw0ff3AFsOn+ulWfut/z/H//X+z7rV+8oHcTgBeHNG6/nY0rr+bM2qABtZJzuHZ/iU/fv9L+TRs4u9bknqWtEf2UgG+5cQ9lXAwQOKqHZFUNrZPv4IFZ3vZbfw/AvpLHkw6VuHq2xBSGWiu26Sr1aHpGYgyuEqzedQ+84iU9Rr8aWGbyX/0jhWPbUz++UNRe8CxYPGf/2H+Awrs/MPLcbsJnnKpXbacNJ9qwVA1ZAkqBw0zB60lTdqnBcxQ37JsicKvcdb666fmJ1g8r8fnVjz9Iog31SFP0bLt9+5fOsNYc7ZjOu4pDUwEn1xoDBA45JD1hnBgCJ1W+kZIIPUCoakRWaUZgHeNJmp59K9gJmWPUmY4UPLRWY7URo6Sg6NkUhDlXshppZgsuewqBJQoLyVze70nHW/Fdpva5RFpzcrXR7vu7hWakyXmW9GQDB6wDeDNkKU8DtT0C6G7AMN7R/OqnXb3le33pPz5HtVqlWCxeeMEuAex85LLzpqu29v23escLCU7IxgLr5H0UkSUv3enjksYV03mOPCGgGsYUPZtOdX/Foxlpvn4qRy2McYRkvcshX4siHly5eAEUFwNhnLl5O+gezy4gju2SxGbvsxFasse4tdtWqiTRHaXVYUSQTPFNCIGUUA87Ks6+YwNlTqy1qEeacuCwr+jiK4GnBJ6CMBnMiBHGuhOQ6A7v+M4Y1dir5/NcVvHbBJl+nH7bu9j/PS/DO32iR2UTOnVigON//xHI5QA4OlMYGuQxOvBDkHMVsAWCcL/3fRfaaqQNq43dy5QQa0Mc9hbMqtAN3wtlxzL0BlN2/pLCruekFITx9khylny0dfXibWE0F2V37t2H7nfYjHCtTb/S63iS905h98nSVoOxe1tj7Pc2pjfThU1ZrmglmiK9mXe2CwlcO1dMAwgG7zITeCzVwrY6+kojQgooTu9BAx9vNfl4a2vBngB+Suzv7vu7hcVai5mcN3K8Ntj+ELhyZCDubNGlFLjpMLG9Wh3XjHOeQ95zxr7v0HKfOrmtMtx27XU85s47htzb8JkT65yv9ZKNo8RcMCHJJrna4pcUNrAUbBaowHUwGE5vNHGlYL7g47IFVeMhyL5r93ewwdd2rPN6CMYa3xFpVhyRll9kReyB79jsMgYbHBWOCDyfz/nM5yyxzQB3Lm5w75INfpcCrp4r9pCgu4MCHCk4PJUjMYaHVuq4SnJoKqDgWiVOgeBAOeDMRpOy77CvFKCEtAE+6QsnxvSMVd31kBhYTMl4tTBhX9Frq4WeWW9xaIi6/UzBQ+cMi9WQJDE9pHPfkfiOpBFacp5dX3R6dU5KTEr09JQlLe+t+MguMqIQgoKnCBPNnffcy3/5tpdy/MH7B8rx4m98Bd/387/N++9d7fn98FRALUrIu6qH+G+JuoL5gke1lSBT8meoNcJYouGJ9Sb3LNUtGTHNdCSAfSWXmbw7sP5abUQ9waKJNiTAwdk8FV+x3J7/E2YLlhgZuKpNho+14c9uPc3+kodBUI8SvmpfgdPViPfeuYTBEnb9NIuCKwVXzhRQUlol7K4A7u4sNdlclBhDkpixgSaJgXwf6fvUekflXQrIOYrmDvfPay98DvL9H7R25rS87uw8/gc+gedAYgbXkQYo+w4zeZdm1Hss0baPCuw4FaSE4KydZbafZh+JvRbGVIdkZ7L9XRAlOrXBGO5arNr7PXAvh3/g2xmwNG5swNOfwBpQuHVwXBXCjjFKCDxXslQdXIMmxip8Z8/vblvJvfeQfPbTOEriPfmpqCNHehS5s3HrYph0zcY6ZuE8av8++j95FhRmDAP2MT/dn+jEtH0gpUAxXfDa7THqW6x3r/2z3WO2vumHO8beq7Xh1pMrbSLuTfsqPTaaaiuh2kpwpKAYKIq+i9snR//Qt3/HyPtvhu7PYADW16h8zeM5/k+fHiD3Zzix1gAhiBO71/JdxXOOzbXfc6IYPMEEE0wwwQQTTDDBoxkTgvAEE0wwwQS7CiHASY0l7XRS2zCaCNFRMtv2s4Hc057Kjcf2DhxzlGCm6PNDz7qKtWbI3Yt1NuohzUQjBcTG8KTLK9y5UEcI8ExC8u6/RwvJvU99AUJKlBRtA/uXz1V55tEpAKYCxZHpgCgxnFpvcfOBImHSdlW0y1B/zovgt37xgpyBGX70z/8X5/7l3/ni8TWUtIpISWLIeYor9xZ5cKVBznM4vdLg7nNVpvIutW2o8SYGPvbAKo8/UOLQVA5hTNsppLXhzEZIzpFsdKUJPrsRorVVLDqx2qQcOPhKjSVnxImh9tynwvLy8BO0hpe/mNqBg2NJut3Ie5KZQq8i8cmVzR2gtWoVnvFEBlyEp0/ZdH1CUPjc7UOv7Ya/iZLrOGw0Y8JYM1/yB4yilxKkFFw1X+KySo4P3bMw1mm6Uo84WHYeNjFC295EO12tpyTf9biD/PupNT57cq2t9ttKC/Tia+e4fCoPwLXzJb50dh0loOA5FH2H+YKXqqIMYjNFmCixhPFMdUkAStFzP1da1ZrsPlnq0+0SOaJ4UG1uI4w4vtohr2XKONBRgwtjzblai7m81+P8zGAAo0EhuXK2YH9Li7bajDi11rjgb9sILZnad0CbrfedxEAS65QYJdrei8yJ0Z8C2LT/L5trdsZsGefsOXv27Lbv94wbr+DW+89v+7pLETuf2wxRrLelwL4Zgl1Ql3xU4iuM4PlwwgCn15tcOauQQrFaj1Minm1H9bjfcf0o8Qo+Sop5MbBZdzi70UJJwYGyz8khQXfbfVbmnM9UNDPVyVas07nTlqge2TTWMzmXZtxRQF2qR/Z/tZCbD5Q4s9Hk6Exh6PP2VQKksgSkejMauh4JxwTQTAeKEWK3bZz5k3cAcOA7vwH3/NkOOVAITv/8bxA/8Wnjb7AFeEoyV+jPJGJYrI0nDQ++m+CyjCw1gtHcT24cpWra325aUYLnyJ0FvI1ZaxgsAVwbM6CU6Cqbct0YSyZqRBqSjlr1VhElF4cYe9HxKJnLfCW5cmZ0kFc38ctgMMaShup79sL5czt/8N69qCEKgp1n0SYHgyUszeZd9L59O3rcbzsBtx063Pvj1BSP+dIXd3S/DDN5F60NS/UWV8wWCFIFwYWNVg8pLTGQRHqoouNM0SNwt+/e6A942DH6ulftN351+/dIlSX7e+qtZyw5+NhsjicdmqIaxkSJJjF600xLxnT2lUOOArYtOqojxRolppe4FUWcWmsSa0M9DRIVAhBJD2FxpRGxt+gzk+tXkByNjHiXpAHWnpK0Yk3gSpKuMbH/e7di05chpJdcq6R9r+76GUUOtu/TqfXE6B7b1dXzRVQf/bA7QGM65+JKhQtcNVscuB/AVOCxr+T3ECkH52urNJvVQcFTlH2Xku9w92KVZqxxBOwt5fAd1VZRL3rOQACOIwXSUVw24wAGY2z2oMBVdFqYR60Vc369l3je/e3DxDBdcHHVIPHbUZKf/on/yf/7o98bOJbhXX//dt7192/nm//P29l71WMBKPuKo9M5JKKtBpvzBHFC+5vN5QPm8jYwarUV8e8n13lgeTAY79CUz4lUbTZMNFHSK0gBgtMbIfMFK3iQkcUFtm/0B1YIDEpYIjZYm97HH1wjTAwGwfHVJo/dVyAxcP18HgnctVCzGeaMoeApDpSC9rickW0D167TWpGmkdVvX5v25HibhBQizVAgcZXgy+ftfsSVgmOzBRoveNbIazfF2dO2zMK0FV1VOi40Y4MSgxkbAkcSJppmZMinx7LSR0mvjnzSZeMy2L6O6X3bVGNkIFSsY9uy19WjmPuWU3L0Fz7H5T/+2k1fr3bzdXif/BzlolUTFtjMRa5j23W1MXqtaQngBiHs/xq/9waSt76lrQ4fAQ2AIMD5/tfiv/r7LdFaCXKetUV2+zYKheHr+W1BKYK4yVzZ59x6y46hiSHnS+ZLAbVWRJyO41l/dtTwTBAbzQRjQqbzHkoJ3O5AAHrXzNnfSkrKOYf1ruC6A1PBSNu1MYZ6FBN2DVS1KMJXg3O2wLBaj1mtxwSupBQ4SCF6FMwvFN29/vALb+Ez7/g4e4oOoutIpA1nNiLmiy4PrLR49lWzXDVnx3eZ+roejcvqCSaYYIIJJphgggkmyDAhCE8wwQQTTHDRcKHR1DPf8W0sv+0vtnXNsb/8y/a/3a6Ibpue0BIbp/M+TzrsY4zh86dWObVmyaO+Ejz3V36I3F239zpn/vJ3ep4RA//283/E4WMlpuen0QYOlHP84adPIIR18vpKslJrsbDW5ORKg+NLDQJPctezv4Ov/dDbLogknBlQ97z4WVz7Dx8aPC4Edyw0AEFpKsdTZvK0tNl2Wuy1Rkw1TDi51mgrlWTYV3TZW3Q4sRax3mpwdDrgib/9k3if/yyR1sxcfoRzb/pz9hT9HkMjWMPi3QsblAMH9xtfgJuSg8fWx+lT1L75JRT+9p2bltt3Vdvgmz1xruhSbSUjyWeWHPzV429sjCUKf+wzFC6i2mcr1pxZbbB/OjdWieFSQM5z+Nrr91Frxdx6crWHMJ5hqRFRybnknIdn2TnMtaINPOFAha8+UEn7KCCsE8zpGqiMhsfuLfc4/nZKDu5+dj0lDMXadFRJXYkwhlZiiLru033OdpCYNG2gtI7RMDGcq25OjN9oJe3+vbcwqELUjf66qPguxXmHRpzwwHJ9+EVbRJSYregHDi+Xpu1sam1DTdjfYZPUBm7aV+bOxY0B5/x/e/Et275fs3lhdXcp4UKm/a0EcmynHP8pycFYckO/AhAMV8gb9b1sGvb/fJ4vJSSP3VdpjyObj/EXzmD7j099lF973XcTxxGO4/LGP34rz3juiy74vt24GF/yUcLd27ScXzxb5YtnN8+GsB1sLUjM8PEHV0ceXW8lfOrEOk86XObEaoMDpdzAOVIKnHSNLUZ4qsUuSbye/n//eMH3GIWc4wxdI67UY5JuppYxPY05MdZJn037sTZU/H6i8Xg04ngoEbm/Ns+tt5gpuFTyg/dPtM2ashNk+5LAtanewa5nfMcGlmUEv56AJwOuAkdagpzviLHBmBJo7WLwzcOFTOEvQ7cicCYSq/qMDd0klt4DluClpKAVJQgGSXzdzxWikxZbtH8ffv5mvav7OpEFswHOX7+T+Gu2v2bMUH7/R8Yoc1tSTuBYgs1CNRx94iaYk5K/mN3H9LCHra5y26HDqOuu47p/fn/64K3fu+QrYm1Yb8asNmOu318m5zoYY9PPR0MI/GEymPZdbGGWy9pF/38BTv7cz7H+znchfJ99P/VTTL/467f+EsPw9rddwMWmq90bjs3mmc17VAKHIzM5VmshK62IMNEYE48NKBVi9HzkO2LonkkJyHmSOFXrVLHNPuMowWojJtaWcCr76lwbq8g/jCDcv6/NpYrBra6MBp4SbcLvZnPoOCVpw86zhxhjWKz1Bgr5Ug4Eb3RjoRYyl/eQQg4dI4Qgzag1/p1irWlEuitgWJF3Lfn3ytkCXz63QTnn4krBbN4jjE2qrM0AebP37e1Y1k+gb0Z6qFqrI61arCPhspn8SHvub/+fXxhLDu7G3/74K/iD936Sw0euYLEecVnFKix3CiyG7lsA9hZ8Lq94XFb2uf18jaV6hKsEOUfiSIESdi1wcq3VE+R15WyO+9LMaXctDC/XTfuLzOQ65ViuR8zk3bZ6sCMFzdT4sd6MkcJmmnOlbasHyz4LtYjT6y1uOVTBEXBqvcm+UkDO6WRmaEaGwBXjbbFdH01Jq8ba3cYdJTlY8jvkZmzoYpSRQBcvLNC4EWmClOicZTZIUhtHYjp76sCxgUvdfVSnishJmjVu1DxsVW3NgOqqq6yycnfAgZPWQXeAjTYQOA5Hp/M8sFJvk4O3sscJn/x4Gl1Kwq1Yt+3Fvqdwx2TbyJ6x9JIX4Z54cPjzmk3iN/4WyYf/hfLb/oYwMYSNmEaYcHAmv4USbgNRhKhMEWvD4dk8/TVQDDyiJGGti8DrCEE8YnK26r0NlBTMFj0KvjP8+9H5rjMFj1akaaUCBVIIlqshrhIUfAclbTuJE83CRotmpLmslGNBtViohdy7VOemfeWesbXfttqMNFESpurRu7/rzGrt+G13sveWx4Kwc0AjNnz5fI09BY+z1ZBXf/UhZvJWKMWRdo6cqAZPMMEEE0wwwQQTTPBox4QgPMEEE0wwwSWLK379V7dFEHYO7MdTmSJEr+FGCmvMyQzpiQGE4HGXTXHFbMS/3rfIoa99UlsfZJTNx2Anz2f+7+8HYA1IgNbb38fGapP1ZsRHtObWh1bb6hMZbrqszGef8hLmw3We8PF3DohbbQcCUM0aB154C6f/6dM973m2xwkoaOmdPaUWaeYKHrHWzOZdVhpRmzhZ8h0SY7h8SvLUVz0XFfU6HoP77+XyF95CFcG73/IBQq25cW+JoifbakbGgLu40H6fcTCAeOAetNHIISqn4yEo5TxKOcPJpTpD/UmbkYP7zx2Sqm43kRhYXG+xtxIgL3F5AikEpcDlKUdnef+dw5WwHlqpc8Pe8lhH9sMBQ1caWEMPOXjg+Bj0pjrdGvrPb0YaJQZTmit5YUbwjCwrYFNlqW4s1kJmcy6O7JDrnVSdXApLLukvlk4dxHnH4bH7ynzp7PqOy71TSJEpAnWI17upQjsKmuH1m0Q7pTlPsJvwHLGt9j8WW02/fImg2kpY2LiwdnjZdNAXaPOfB44URA+D5+8NP/1DfPw9f9fzWxS2eM13vhyAlz3uq/nxM12K5ErBuz5AYQfqj4+uFnzp4ZGqv2as+dLZGi+8anbo8dW6dZxnynLD4Coxkiy1t+gzX4Bz1dbAnmUzHCwHTOfcgd93i5AMsK/kc2q9O3Ck9x3lkDXUdlHyHG7YUxp4hCNlOwVz53nD61gKSxIeiS2UsRnplBgsiHXvmrF//WjS8mW/J2lmjGEPskS/nQWePdLQxgykLu+GqwSNbQSFZQqEa43tBSNlBOysHwkhkMJSZbIm4SmBlGJb68+gXKbqehBtn7wrggBXSZJxpEMBcwWPiu9R8hzuX6639+Df/t9/hj//7V/c9DlzUvIPc/vxNpkTkzvu4I7nP5/r/vmft9X7fUf2EPSzPpZoQ7U1ekwKE4OrLEkJIbak7N1PDk605vYrroQ+EvKp176WU699Lc7ll3Ptx/91S++RdxVVFXUCwDchg47CqeV6TztSwgZjVnw71m40YhLg9LolQgqsgq0ANlpxj2L0ZpAjlM0TY7PSgGgrUK6mRFJfCfSQcfeySg5fCQpD1GylGE7Y7f9FSqxRbQsIY70poW8niI1mqd6/ft58TmslmlyfwqWr7Lzc6iL9jkPJd7lxXzkNIjA9848Sgn1Fn5Lv0Ig0niNwujIQtSJNPlVdDmOz6ZwTRgnn1ppIIXpIedm/BXQFqQ/2/SRJ+LVf+eVN36kbP/t9L+f33/tpLp8KKLid/YUUdClBD0EasOEIeOzePKSq+lIIEgMPLA8fz0dlT3ClHatbsWZhvck9J1sIYQUGDswVOFuNKLiKRqw5Vw2JGxGHZ3K4nsP+siW/rzZj5goutTDiYMXj6FSe+byPknB6o8WDK3Wmcg6ulOxJg6/1iL6ZBQNorXGUwE2zBSTafofAlUSJQWDa46MQcMO+MnGiQYA0YsdB1t0QmDRwYHQDasVpFoMuxNr28ZwrSbQhTOy/613tPnA6AQCxhiTNHpWpRkeJfbZ9PzsGOtLQjE1PG3WUYG0jovIbv5CWeeuoPfAAhaNHAVjYCAljzVTeZbUWbjqWbHzvq0aTg7ugb/sS9R/5Ibxff2P6roalagtPSUo5q1I79epXs/qWt2yj5L2QV1+DMzPLcjWkMCLa3VWKcs5htR7j96itj0aiDYsbLYw25FKSbz9SKz4rtZBWbNeteU9xcqWj8F0PY9KmSawN2kApUJRzLnsrPp5jCcX1MGYxtVcIGFg/ZTa95CLvwr7p576fv/mjf+aWy8osNxLuXaqT9xRHZ/K84Jr5dj14aqIaPMEEE0wwwQQTTDDBVw4mBOEJJphgggkuaVx7z+3cedX1m5+Yz/FVn0uJsiMMNyIlzUkFQmeKU4JKzuPI1z1lS+Xpv7XBKjjkXvG1vAb4kR9+K/kootAKyZfyLFRDDlQCKjmXRitmsdrin5/9Km781D/hxeEFq7q5wOUvvIVzz3oRcx9+LxK4DLhGKP7y9997gXe3ahlhkilKdH6vhQnTeZf553x1R1lpyPUSw0te/Rz+9Nf+ln9raW7cV2Qu72AA/+ufPfK6fmSumdWXvojKP7wXNY4kPNKGKJBSDjjtau9/3xZK0Iva5z9H6ebH9zyvi3e6K2jGmnPrTeZL/s5SGj/McJXkmVfO8uUz6xhjlYMzJCZT0Lqw2vFTJSyreGSdZ5laSZQYZgouK5ukpL5QjCPbbBeJYVAFaxcMz2FiSMzWvKxzBZe1ZowjBfUooexbxRsp6UlNmKnJwGDKQbDd6qZ9FTSGhVrLpm0XMJv3yLmKerS18kgJUzmbCjRTBV4a800Dp9cB1UzVmrdL4N4OHCW4Z3F3FScn2F2MIj5M8JUNbexYlWFYIFZ3qxi6bpEQpPdoHzedP7qvdx2Xa5TEpKNid6sbN5R/43OexH13jQ40ksAH/uNzvGJmnsvdVLE0SeBFz2ID0P/yCWb2zLTVM/ufFSaaU+vN7a0xxdg/e8g4Ivu/rsrYrF6zc0TXv3OuYk/Bb/+qjZ3nB+84GqbvVCXTNUf6956Cx3998uE0+MfQd/olj6V6NNRJDzY18GaIxxDVsvS+h6YEcWJYqIWsDVEUHIbZvDc86GsXnecV36U457RVhD1H9CzhtbFpk/X2uM09yPaCGXJpSvB+cjBAPUwoDSFFg01XfWatNfTYVuE7W89M0X1elJiRpAWtDdoYHLl7a9du7CYhfNjdx9374eRp9Ki0GpuVx/SVbbvG9cCVVPM5WNuBuu/v//GmpzTipK0w7rYJLvbvl37XD/DOt/weG6srY+/x5pk9eEKMVE/uRnLHnZueA5ZMm9VdP7F+rRmxp6hQUmzaZl0pyfsOO2kJa6srHH/sTWPPiR96iNsOHeYxJx7a9BmOEvRsczwfWtvPihEmhpzszOueIzF0iFOJoUdp1QArXftt35HkXJl+99F1J8Vg4IGjbJ1mgbLhkAG+lRj2l32KrsNSvYUUcMPecntcduQgad1VklasN/2esqu/C+x+WApB4ArKgYvXRSo1DJJgtUn30CYL+LWtbK0eobXBpMekoEeh2RiR3krjGcXBsk+U2Guncw5C2L169+MOln3mC377HnlXWduUsCTLRqSpRYkVHhCivWbypMRTnTf1UjVWY9KMAIn9bipVaG3F2mYcwpKws28mEbS0IdKawBHtbEWOFOQ8SWI0JrEE4laUUGvZfX6tleC7kvWG1RLVxu7z7TNMOxOREALfHa6IDPALP/ezI7/jKJw/fYIkbGKMRzNOyKcKwtoYVpsRcwUvTRKQ1o6w65L1Zqd9izZBdvM+b7Df7asOlFmuh6w0YgJXcna9hTBWYXhptcHH713CALMFj4a09s79BYfVlqbZDFnYaOHkPKYQOIFoj1melFw+laMaRlwzX7BESJ22GQTLab8s+TZDQpjO066yBFwB+F32Ci+NGm90zTWGTj/tbe72WZlogu9KakoNBDtsB/22k8CVhLEeCAYw2LGim2+afY7seiWhHseQSm9IwUCQuSU+a7rjQDrEZEPele0VuyWyCxCCepiw3Ig4/IH3bP8lX/5i+Mxt7T/XGjFCMDYYBYB6FXPrZ7dss44++AFUkqCUQhtYb8SUAkU+USgluOwXfp7Vt70NdhJUnsuz77WvZbrs0wgTksSgVG/JdEqgbyWaMEnaAU2j4Ehh904p0bseJfiuGrn3AMFM0QMMjVAP2Olakc0A0Ip1u92WAgfPkSghOL/RSsfBTqNwhgR8PBxrPIH1V1w9m+cjdy4wU/Qo+S5PPTLNU4/OALb9OnJCDp5gggkmmGCCCSaY4CsLE4LwBBNMMMEElzSKxSJPOHOcz155LdSHp2EvveB5XPOnb97WfTMjT6Jh5fSZHSu9dNuJPOCNb3gVf/aLf80Nhyp8+Etnee5NBykUfar1kFYj5Mj8HmYqwa6Qg7tJFns/3EsG9k3Cd7/2BRjgPf/1V/m6N/5kjxEukZK//Yk/pH7Z4bHPyBx4/aoDBig842brwNmkjAb4rh/7Zv7sTe/nnsUas4crADjrq5u84SDcEw9x10KVvKc4VM6h5BDi7JgC7Z8KeHCxrx395P/Ydjn43lehb7196KHdVC9tRppTKw2m8i5eStL2lMR1Lk3CcMl32Vu0abAvm8rz4EqtQza5QP6AqwTzZR9XSUpDjmfG8ItNEB5mwL4QZCmUM6fKKIWZ7aIZWwXw5Xo4UmGv4Km2cleUGM5VW/hKUgm8nrSzgpR450kwVpXHd2VPKkjoKETN5nzyruKB5XrqQBXcsL/M6bUGUWzdRYVA0QwTDkznUqWYhHorYaboDTj+yjmXjWbEYnXw2w57Nass1Pl71Pu3Ys1iIyTnKHwlbHrY9K6GTsLi7vIoCXeeX6c1og1I5aCTnaUa/8rCeGdUz5nG0NymeuVm2IpSzgRj8Ch1gg1Ll7199PbtwB2tvGSJONu7+1vf/H/HkoPBKpSvGc1rVhZ4x9x+in1rHfW8p7LygU9QnpkZen2sdQ9paDdQ9BTVXe6nU4Gh4lsn827BQ4xJuT6cUL0ZLnbQyWZ4cLXJjXuHE1N3A3nHoYXh8imnM/MJwxfOrDObd3G72p+BVLl0+L0ychFsv54HFSH7WeuGqK2Wm5XH4PSRIwaUf6WdZ5QQY1PFb1bmepgQxXpgDS62qGA6DsMySuwGotjWj0j3vLv9iPmSR5QYmlHCVN6jFVsyWv/6cEe4BJj8GcmlH0IMZhwxqYJi+++u0JFWpIe/juPtrGD7D26a8sSVgmqYIIQh77iUfYeNVmde+JOPfJkf/oZncvqhe4Zef41y2a+cLZHxMtx21dVcf/ddY8+5fCrfVsI0xlANq+1+30jnGCEE+6cCqs2YlQFFV4vZUie4ZBwaYUwUa8p5N/0ibEoO7sZtV17FdXffjRrRxwWgpOTy2RyL1Ra1loa3/o0lo10AusmB/cGko9CKdU97dZVsB4L0lzlIVSWVsERkGCQNQ4f8d1klYLkRUfQUnlQcmspzyDB2TDXGKj1X8j5JotloxSghho51pu/fljRrqIeGVhyyrxK0x1mrstt7vWL4kBHrcMA20zvX2D1jlnlkKvB7zh225/cdhenqfwLRs06sRjEPdSlqApR9h32loGfu3DeVZ1QbLmvDeiNktT64pxTCKpsLAY3IBoBkBOw4NBgT0Yg0eU9R71+3icF6yuon79rxLtbGjlnGDPR/Ywx/+Af/d2iZN8M/veUN/PjP/hKn1pucr7XYaCX4juDLX/oCP/ltXzswpinH4Y8/cjtTpSKOkhhMn7pt59/TOYfZvEusDU8/Mk3ZcwgTTc5VLDUi/vw/zrTPTRLDfUsNrpzN8YKbD3L/qVVKeY8DJY9P3Hme5ZzL5XvL3Hdmg+c8Zh+LzZizGyHnNkIOln08JXCkpOg5XDlXoB4mJIndex6u5HGVZKoRcv9yHd+ReMoSiy3B3yrlStGbjSpMDIEjiEeo99ZbMdMpKb3fViQE8Na/hm/75h19F/XN3zI001W29rV2c2tJVtK2d5FaiTPFYW00S42Qkuew0Yo5Xwu5Zr5A3lHEyWA/CuPBzFQ979ulah0mOr3e4ErBnoK3qQ16KPoI1I5kaP8aKMv/+vHtPonoV38B9dM/T+AK9k/l6C/tY+6/j9uuGe3fGArfR970VTSe8jVMQRog04uNZsS/PbDEdN5lqRa1A+z2Fn1mcl577s3Um2U6hmTDV+BIjLGBZf3ohHAYwliz3khsQG3fEGOwfaF73lqpRTSiThBdM7ICJO36Sgw5T9LoWjsOlOHF3wjv+vstVNT2sVRtsVxtcdvJNV73nCt56pFpwK7N7b7mojx2ggkmmGCCCSaYYIIJHjFMCMITTDDBBBM8KvCE+6wqzbl3voulP3kLzuwcB375FyjuINVyBimsmvDxJ29NPXgzZEazV/3My/nV7/wV5ufmuf3uc1xxZA5XJ8SRZiNp8ol7l3jqrjyx89xx+Po3/sTAeUprXv767ycB3vqm9/ec/5L//WpmFk6PvJ8BYsdFbuHZ3c99wiffjXr5twJQCZwtlX3YfcAqGNfjhJI36KwbS1gWcHQ+z9JG2Hag1bZRhg4ePq+1NrBc61ZPgfmiRyG4eGSRraCboG7/YaiHHSN7nBgun8ojBNSjBFcJXNVRXlFSECZ6JMmkH92OwWEYlfp5tzFMVe5CYB1dnfSJrdg6+qRgS87gYdBGc3ajRTPW5F1F3lMs1cKeVjtX8Fis9aqWlXynnXbTS51X2ffKygnWWN4INYFrlY8aQ4gg04HHzEGvx+G0t+TjOpkCVDZi2u+W8xxy3oitiRCUci6tSLPRp/ISa+t87lbuasaGahhxar3JwUpA0R3eVyKtObcxXvFPCEuycKSg5DusteKR5GCA33n7h3jdy54x9p79cEeU79GIVqJpRTHLtYi8p6jkXcaNykmiWdxo9ahAXygCV4xNS75dGEMP6efC7mVSJ9PFG6+SR2Eq+a2inwh4sXExiKG/8jP/c0vnGaCmDe9qVPnWQrn9e3vkfO5T4dZRRONHhyfzK7el7i7++Hd/nZXbP8VV11zHj/zM6ykUCrv8BNuq7HosVXAUcNO+Mtpsj7iapZreCey6cPS1vrJqkt198my1MZAS/sqZPHnPwaSnLdZanNlocdO+MjnXkozC2GxKUhuGlVrIfNkfSpqUF0Dy9baoHrxdaDprySBLZZ6lod8FBJ4iQLSVlV1H0op0+uQLw2YlDJPN06EPXJOmxN7qdxqlGDdM7TkxwwmWYPCUXZt2FFKFVfd+9ffDb7x+y+XPUNi3b9P6WWvGLNRChIDDU3b+XG/1XvWGf/woUzmH//m938p/fPyD7d8PXnY5b9tJwE2zuemHM30BZAVPsdqw+0eva5/nKEkl75Jow/oQZfNEGxw18DNa23WWSPcwZ1Nl71qYkPMU53/p57f3TmGIxhJQ+5tD54uClJI95YAHFuoUjh3bvn3hibeMPCSlIJA2fKMWbqPvjjg1MSC0JWQZbZVjPUeQ96yCcHc7NgZm8i7lQDFf9Ci6DoXASZUxozap2xgwRrNQb5JzFJ6SrLciQuMyXfBZacXpuDO8UMP6ZJx01mEbzZi8p9pk5gHi6iZVMVt0KafjlDFwdq3ZJsZqw5btEcOeFSYGR3bI0gVHUfAUtbRu9pd9pny3rfiaQWuD7BtkdBo02YiSHhJyFqyQ65sDXSWoRRF5p2sPnd6ynxycd+XQ/ZbNvGHvmz2xEWmaUZLuze2vG42I1XpEYzukxi6cOv4gt53bYK7gstKwZfv2p10/Usk8iWNe/bSrOXTsWn7rHR9iKnBoxZ2xIKu5ubxLM9bcu2RJ2ftLdZ5woELBV6w1Ij547yLSaEytRasVkS8GxL4lmSba8OBSnedfNs29Sw2u2l+mVPCRxvCKJxzg6HyZf75nkQNFl5KnqASKRBuaSUyjFnPvUpVr95RRAoI2aVuTcxxuPlChFRvCxKBEZy/ZSjSNKKISuD371WZs2t8CLGky0QYERNruIc+sN1lvhD3Ef2MMhWuv36FNE4Kf/oURR7rnWJOWyf7uyjT4JTZ4StCIYbEWcr5qbUtHpvM4QhFpQ6w1SnYG660GPIDtD5n90HckkdbMF4Idv2s3HCV7smzYb5dQDRNWGhEL1ZBWonn8pz7JkKlmLJIPf5Dcz/3iWOGIx9x1J7VajQdufvx4orCU4Puoxz8R/9d+h9AITizVKfpWlRdhOL7a4lDF576lGnuKPmGStMnBAOeqLRKtOVjO4TqSZtjp66pL4Vlj2F/Jt8eebntve2xoJZxdt/NqIzIj98phYlIy/WBAB9i9QveY1Ajt+mxP2UcKYRX0jWGxGlJrJRR+/vXUdpkgnL3Tej3isukc3//0ozzlyjlgQg6eYIIJJphgggkmmOArGxOC8AQTTDDBBI8q7H3Ji9n7kgtTZBnABaRj64dNUwXzsk6tXMRZWOD225s0EsEXHlzm6554mIPOxVU47S/PuN8V8F2vfQF/9qb3Uzx7gpf9wvcNvbZfC9KNt/8ON7z1jZi3vpHl7/mvrL38O5ja9h0sir5CCUGUaBKth6sI98DQCBMCV9GKEgLPwWCIksG0eY8GGAPnN0JKkWam6D1sxNhu9FI7U4VZSEkBHWTONk+qQcNxYghcYQ3HqRJLzlOs1aO2Q82RgpwrKQTO1tXZOvIWuw5LRL04N290KbUk2uC6cjAf4xZRj5K2klE9Sqin7NnpnIOSglqYUAsHne2BY8nEUdxLCO6HNtZXYZ1aNjVp5uTM2sQwR4HnOH133F6IwFzZZ0Zbpbpz69YBtafk4bkOxhjOrzfbqnVl36U052IYTfLbytONsQ6OMDHUI/vMqZxDI0yGEoX3Hzu2jXey+MSXT2z7mksViYbFjZAwMTQjzUYz4uB0fsCRnySaKNEsbLQ2VXTcLjYR1ds2xvWFneNROPlcAhid7nSXnyOs43i3CXvVanVb5zcxvLVW5ZX5Uk8fyv5VO3uWwgUEyg1D0VMcmS6w1ow4sdalgPef0EHqKjunPRJpZc+ffYB3/OCLabNcgc99+t/4q/9nM6b88u/8Ad/48u8AOipbw9eDO1sUGQO7xCHdElwlNu9vYnBt0T/eT+dc7l+uD3/jrusdCQ+s1JjNexggMYZqK+bI9HjydT1MhurjO0riKLFj4m0r1m1Fz4uFbqLKdgg6GaSwJOO5kt81Fg+2uXiHWXn6YS7CPJmY3enP280Wkxi4f6XaJjPnXUXRV+S+5ZWIHRCEYTyhMdG6HQRoDDy00mAmNxiMJgX4SvIbb/5LpBBdAUwGnn7zjsolBTzzyjkSY8ltiTac2WjSihKMsW093xV05SrJ1XO238WJJowSPNfSsYQQ+K6E5uBzokTju720rTjRnFhusKfsU/Adoq5KakaaZqQJ3/rWbb/TPbfcwvWf/cwWWmRX4/rhH4E3/OaWn1H4gz8deay7vW2r5aXFyYiJiba9ypECbQxG2zr2lCFJDKatcCrb/STSkuOrEa1Ys7fgkyspHGVtKhvNpO9xok0QzLBYCym6zqb752TEuJHZalbrlpzqpwThuZLfJguPQzlwmC+pNMDMvpQQMFfyOLncaViO3EaGoCGnaQML9SYHSwEIxWzObRPe40R35aXpINYGYTRJonEdhRRQb8YsdNVh3pVE2tCKNSK9JvuejTjhC2fWMcBXHSiTcyQYM3S5lhtBDnaknbeSIZuneivGdyXL1ZBGmLT3a47jEIbjA2yHYXZ6irmCy1zeY28h4Ok3HhtJDu7GiXvv5Ke/+xv5w795t30XR9GIE4yxtZoY05Ph4rJKwFKjyZkNW4/JWp13vv9O1rsyazzthn3kr5yjqeHwdJ7j59e58fIZpvIuOklYrYbcuxZy39oS77v1FAZ43XOuRAlBM7Z2RTDE2mC0wUjRtgv4juDUeou5fEchPgsgMcZwYr3ORishcCTXzJfaweeZCnTWDrXR3LVYtVmcHMk9ixvtZ1w7XyTvqnTdZ4PL+ZXf2n5mtDeNzsLXr3LcDZvNARpxzPl6RBgbrp4tslC37SLvKFwFdy/WbMB6mv1NCrktwmUrNgSO7V+7uScTIp1vkoT1Vsx77lxgb8lvk8wzfN21s4idZIZqNWlEOh1HBZg0NKbv5R0vYOZTt7bXBsndd2L+4s8IP/QBTKMJvod6ytNxX/Vq5GNuJOcpwtjasNcaEQ+sNvjI/cu8+Np5lpVkJvDQBmKdsNCXVW2xHjGd9/D6qrE7QC3omnthcKjTxnC+L7i+EWmbbafv+2RBDdla01MCJe06Y75kA+2y6thoRCxXIw7P5hBdgRR2fhIdQvh7Pwwvetboet8BEqnIBw5PvHy+TQ52pVXLnmCCCSaYYIIJJphggq9UTAjCE0wwwQQTTHAR8Oq3/grvesM/ci6KkdUGewKHfDDP6fseIlpbeqSL10Zmonz+L72WA6fv6/lt2Hmjjm/1OQKY+5M3Mvcnb2wbHLd6v4yilSmIrjZjykNUdLU21hsqBFrrTrpPrKFyj5LMlQJKQcLCJuqhlzI2mjGtOGFPKRhId3wx0U016f6vEIJom4zrZmQQGPbm/bZ67HxZUggTlADfVdtKbXuxYB1xWfq9i8+YGaZMth04I9gPK43xDo5T602rziSH66RY5b1B9bm2Q+CiK5cKpBTkfcnReaf9G9j2t7cSYAw0o8Sq+0QJtWbSVkHux05LmymdlXyFm3oP1ptR23H6u+/42JZVhA8dvZJisbjDklz6iBI4uVxn/1TOqr1Jgcb0OOV3G9tRE3wkcBFjGHYNj/yo+/DDkVblXgg7pg1LK3+h+IM3/J9tX7OmE1a0ZkYNGZdf/Fz4zG27UDKLoqc4UA6Q0EPg+s8KR1pyhE39LG367ochsuz2D/09H/m9nx57zk//t9fw93/zN/yvP/gLjq82CRxJJXC4ejaPn8pqukoMTRP8lQApbKBS//dYb0YoMYLcbDqjrwGqYUI17CWDbLQics5oM2nRVwPjYytKqLfiC1Jv18amZPYd+82i3YtdHQolxY7WbPVQEydmZHBmrRX3ZJXwHUsGEuyA3HORmu5udIkgVXncLE16hkTDFTMF7jhvg0Sy4D1PCQ4cOAinT2394T/wwwA96qLd0EZzz1JtsPqGTOyOFJzrI3RmKAy/ZHMIQalvfz5f9Nvk41Mr9fYeQgjBnnzQPi9OYLEaUsk57eNZGvTuru7I4XsdJQUFX3F+vUXO3b2AbH3u3BbP7BSy8F3fR+2eu+C97978so99Zmt3N2Z7BHwzvO91iLApccsRafC0/bt7/ZPNJ7UwYUGEHJ7OAbSVgwce2IfEwG3n1rlmrjS2qMOWXMOCJrKy6S3OxcXAHTqU9Hef7kDdwXMNidFIIQcCcUxK/FsPI85XQ6QQzOZ8pvIe9ajBYj3CVYL5fO89XWUV6S1p1Lbxgq8GSNf1tFxRYp8TJbSJ744U3Li/AhjiGGKsKmjeE/iOaL+jklax3FMd0l/2+sMyIylpifv1UBOtNdHG9sWcKzDA455wC5/42IeG1Op4vOp7/gvz+QCZ9uulxa32K7j7Pz7NejPmpn1lYm3LeO9SHd+RbfuGwNoqzldbSAE5R7DWjDl2eJpjB8osrjc5vmCphh//8llmZwr4eZ+1RkhYjbnu8ZcxnXf50397iGddv5dDAj547wpH5/NcvbdIzndYqkfMFxzOb7SYK3rEBlabEXMFHzBIAe+47Ryn2jwhbAABAABJREFU15u85pbDA+1MCIGvJBsk5L/wGZZ/5AdR3S30p36OwsteAdi+46bE40ZfP3Ck7AlgdZWg8IKvpXb21NYDE978NgqPezyOhANTOaQUVJsROc9hrRay3hq/EIkSw3orZrEW4UioxzFXzuSptjQ5T9GMNEemCkRGs9aMuHe5xrXzRWv/24Z9b6h9MV+A+vZ0hA2wfsuNVP/xg7T8fDuAnjQgLgshyJ62p+jSiBLwfUwUbW8+zNugF8+RPLRUIxu295Y9Et3JYLFSj9r9EkBdfS25X/4/7JsKiGLNyZVee0kz0jjSjhefPrnOl89VKXiKK+YKTOUcpBCsVCPuXW6ScyQagyslOVfBcCHfnjGv2oyp5Fxr1401YaJpRQlhoikHDmEyPPtGM9IUPEsSltK2zzC22cai2JCkAfckhpmCi+xbQxYDl2or6SEHdx9bqcf4jiB3+ADVT36O5lOesCuLOQGs/MMHmY1cnn7lLGCDhCfk4AkmmGCCCSaYYIIJvtIxIQhPMMEEE0wwwS5DAE4SM1XwuC/UfOKeVZ509TxhpLl1UQBzhCg8kkuGhDOOHLxbGKdIvFUc/+XfBayxfDrvMsx2t9qIWW3ElHMOrTAm819Vcg45T7VVr3xXUcm5rFYqsLa2vYLM765i304RxoZTqw32lYP2e11MsnAvtcI6lWzaOOtQqG3iSOiHkrCvHLSVosA6Tgr+zpeou02+uxgp5odBCbpSnV7YG9QvgFmixjhstkqEeHgwPJRBCNrpUIuBy0xBc269SV4K6lF/4S9sxLPBCp26zjnStt1jx/iVv/wnfvJbXzj2+sPHruGfPva5CyrDowGxhhPLjc1P3CU8Ggi4lz4uldXJw4ecaxVA4xHOz93AvXd+edvXSCFojcwTPnys32lcjcGgjcFRkoX6cNLYf1ZkJKWcawlLF4N3O5t3mfM0b9qEHJzhs5/4IL/ya7/O47/xewA4Npvn7sUaTz8yzXzew5ivrH4shEBJS9I+Xws5Vx0M8kuMJbfHQ9ZtS40W+0sBxcAZOsJl5NxRazAlBDnfsWs1YclriTGs1sN29oILRSs2KJm2s6507xcbtVqNp994hGbDztVSSv7kr9/DE5/y9IFzG2EyoNyaQaWBFkpZUkhG5hOiN411lrbccwRqhErhQr3FWjNCCUFirLppFqSW/buXJGvXgFLA4UoOZ0Swm++K7GzAkpxGEf9HBZg1IoMS25srPCnJu6pnjb6/HFB49weo3Xzd1m5SLFH4/tcAo9c5AsF0zmGx3kuQjcZJDme395TNCmJ2vlcfdmU3GaySc1nYGD2/tGLN+b7j/XuxqbxL4A3uFYUQzJd8in5iCaQCcp5hufbwZW/qRuGXfp3aD/2IDeYZNl9fdwOFP3/HwM9SgO9KwkgjBO21iTFQ8V3OyXBk2+xGNxF0FKRgrPK5rwTXzVtyb8FXFAKXtXrISt0GY4BVULcxB8PvE2vTfodhUHJQEXu26LJSHf3dFqstZotem8Bs+Wa97U4b01Hw7IHh/Prg/NGMdI+6uhQ2yCFMNMeXm7hKMpNzcZRte8YYWknCfcv1rjtbeFJyWSXHciNCImgmWXYkaYNYEtnTJ63q5/D6aUYaX4mBzDVZ4LKrBIFrA+OFtGTijOxdq1Zt+1tftxcdPsqDf/iX7Xs8Zk+5XWZX2fG7laptZ8+wJP3OOP0bb3ozT37M0aFlHQU/yHHNY25qt7XHX3VgW9cD/Nz3fSN//vcfAGx7aSUabQwHyx45V3H/coMoMSgpkMbwpg89wHLNBhzUcjn2Tpe4ZlaxcHYRBOjqOsthgdmcSyUXcN9SnVO3rVH0FZ8+sc6TLi8jgPnZIudDw52LdZ50qEwj1tyx0CA+V6MSuHz0/lVeeeM+ZvMeH7p/iYdWLanzXLXFnoKPErAexmhjEAKKp0+Qf+U3tFtlz4j5+p+j9vqfg1/5TRpPfzZKSkoO7YBkKaARJfTH+GTf+8rX/SDRa3+A48965ujAkze9mfmnP81mA+hS1gYo5azqcZQqVWff3HdEz/5aYNXMD5VzzOZsRrOSr8j5DrUwJEoVrxECTyjmcpLAUXzp7AZHpnMUXBdPCYSw665E2++WqZtHXXsxT0kaXYERUsDi29/H7Iuf0S7LViGjiPKLnsGpn/hF+Jrnt+u/EWk2Wklb9fbITI7ZvIsxUP2a51N6999t4yngfMsrh6rqnlsPB+Yzq5IsaKZrormiDwhcR3F0Ps+51WZb/TvRhjsWapxcb1JrJVw7X+DK2RxfOr3OkdkcBys5PFeytxCwpyshhlXvtWuXfuRcgaMkrpJ4jqTailnpmzMdCdVWMjZ7gk4bsqcktXRNnKTP637n1XpEwe/NDieEndeH1qWS7Kv4rNTsvKf8PIXP3Q5A7ZXfBA/eB1LBi76ewv/6BWpPugnCzfewBtBS8kDo8IrH7bdZFNJ3nWCCCSaYYIIJJphggq90TAjCE0wwwQQT7BqM6ai7ZKIumdhBpv5yCYiBDkKI3c9JDrzvy+e55fJZkthG+u+fK/KtV+3jgYUqv5//Uf77u7avJHcx8EiQqfpVaDdrFm0H1+NvAawBcb5LcagfEqtilaTp7wSCwFVtldoMhcCh8OFPbd0xm133/g9v6/yLCWPg7FoTg1UAOjCVuyiqu93k4HPrLZphgjawv+KjpNyy8zXnWuOzpyR530E+Erm7twjf2ULK611CRnaACxsntTGEiWa6K5Vw2zfa1dE3wnhoKtXlRjjQt1wFSg46OS5t2EqU0qo9JdoMOLZ2G41Y04hDpnMOx667kb/5j9P81e//On/7R7/dc978/gP81Ue/MJaMPcHO4aXEo/8/e+8dJklS3vl/ItKWbd/jzXrHWnZZ7OKdMBIgjEAIDgn9EAh0EshxEkLACaSD0wEncScJGRCcQDghEN4LFhZ2l/XejJ/pnrbl00T8/ojK6rLd1T09u7NLfp5nn+2pysqMzIyMiIz4vt/3VOXULdnPLo5lBGhxpE9qO/fzL34F3/3GV9f1m0hrin0clVZrPRwhOH08u8oWtFJf3z5bbn0Wxppj5QAhBEv1B0dQdcKc5GY1SRnsb3LwUMaW/Obj9rB7qriu3/3oo+9tCYRBc6QU8MmbjnHmRIadIz6VIGbvaIapnNvhfBjGimuPLIM2AqjTxzKM9MnKkeBYRtgUd2UQ6Ma2jDNgsEo0UcaRA91MBfRNgw5waLnG0TUyf4z4Nkv1/tkSKkHEQi1gquD3HWdFCu5fWCOYZabzWFnXYtRzkH2eUaUUlSimHNLR8E9mXUQy9h1wmUywk2y9njaziPd3hdXJ9mLlpUp3bdOOXtl/tVLhgj1Tfcv+6l98NgD/+Il/4/I9p1F5wXNBayrAwWah9n7zG+TPPLP1O98xgZi1LsG01mBZAq00Xkt9kdQl3cpQkRRVAIdLEaVGTNaRA+tEz4m1znlwQ1BvCWTM/9vd+3r2uMr8gNLrm0KIFJw5keOO46XWGCVjSzKOJHPTHRx/5IWri1q272Dsy9/oGMgqrRHaCLW0bpZFCKZyHqHSrWfBtQTlPkGcWmuKvo1rCRqREUiVm5G1zu69+PvvX1+TatuEkcbpEpO14zsWjjQp6oelFiocS6yIHhsxhUzvdrHSLFUDlIaxnIsljQviAyUQ1lo3s86skNm1HX56a6t8QuhVgzfC2KSPRzcFgNqMUaSAQBmh5pnjOTTGUbbnIidNizb9lF7jOjvWWmNm0eo7aoFirtxo9QFJMx83J/zsVZ6l1R4UW4oOwfOOMR/XtihmHMJIsVAJiBSM5RwqjZhS3bzDHl0y/cFY1mE019t/lWohRd+mHsW49kqQOAjGcw7Hljuft2S+yYjpzBxA0s/nXItj5YCFWsi5k3ksadw571uoduxjqRYy4but3507WcCzJZHW3D5TImy+j543VeiYr8m4sqfdTPAdI1JOxIutz+0VgWVyvIw0Y7lKuQxXXdGzL73vXvY860qUlBz58g872rAw1ljCuJ5qoNEMUnFtQdTWfIyMT3HGWedyz1239y1vP179u2/np4eX2DOWZcRzqJSXh/5twvU/+iFHyzVQmp1jRv0ohaAaKlSkyEtBOY7xbcFSPca2BI85c4KJos8XrjvEVlnnXz/9ldb+tm4Zp1goYmlNseDztavv46b75zhjS4Ht20b45JElHnnmJKUgZrYScsF0ljDWfP2ueXaM+BxejqhHDU4bz3DTsRK3z1aIFOwZ9dm3WOc/9y3ywvOnuWe+SiWMGc3YLN55B3te+/KWW+1A/vDNZN72Lo499unND8wNEMD2oo9rCSJBx1zOVN4l49pkXDjtu99jrtzoEd4D7Bzzcez+ATQAUawIYyM8T/rrQVlV8q7VzCoA0yNm/kgpTbkeIdpE70IISg3THx1ernPGuEWsZEdQgWoTtkNbQF7b8aSAf7zuEMuNmBeNTFBYmhs6mKVdkL3jPX/MvvMvgbkZ2LUX1xIcLQdsyZt+Y0fRo+iZOaTaG39v3QLh0d94w8B3hFApMs0sBKFSRDHUI2O6MFXwsDsUqoItTTfhUj3EdSw+fuMRluoRP3fOBHvGMghMO36sVGdmucGesSwZ1yJSqsOtvxaqVnBWO7VQM52xyHmmDbVETElGHQELlhSrvh+7lmgFtVUD1eP+3n5spU2gWSHTeZ5JgH8tiFmqhkwU3JYwvtKIjJC6mdUtIfcvvfcl98MbqDzyAnSz8+szBAbMuOlbH/kGv3T+FnLNNQJbnqLrVSkpKSkpKSkpKSmbTCoQTklJSUnZFJSG9kyD3YtCLccg6wSczZoC5GQSMJnjP9FJnDO/9VXuftLT195wSJLzzh+8i3usM7nhvnmQkl9+7gWUA8UFnuQzt00zW5xmatmsNJ8K81APdBmGFQkn2+z/1DcA2FrwGPfdVfetgEzTbUKpptAziDrSYWr0St0ZH4f5+eEKfoq4B7eTXKMgMg4cqy7QbQBzrzS1Rky5EdEI41YwQBgrPMci71mUG3FrgS/vGYfmSGmWaqFJOSdgIu+dVJfjzWQYd6bNQrHiriZFdws6PFIItub7rJq3H0trguUqYZeblRQw2hQICUwKZaWNs8kwzmOnKltGfBYqAYdLFSayLnPVgNlyg+m8d1KOV48Uk1kHIeD/e/Mf8rI3/G7PNvPVkII3eHEuZeN4tiSM45PmApvy4KFPgrw6cTXqFzCx2Tz7+S/iza971bp+c7HjkZPr6zMtS5IZYlTXLX4LYk0QR61F/M6N11WEB48HoJxKm8XuRFi4mhh2GGwpeMpZE0SxplGvr/2DLiozM+Smpzvu+N1zNe6eM2LXnxxcZirn8vi9oxxYqmNJwb1zNWYqK+KoHx1Y4oUXTDOd6+0X7aYzY7uTnBSiNZBPPnebzoPOGmPQWOmB1+xEY8ZWe44tKZipBNx7+9G+x1nt0K4l8Gyr49lYqkfmPydi92gGq0skHGnN/kVzD4SgdW1roVozkK9f9oqkzOvp22wpBrpSBvUql5w+veY+PvWqX+L8kfHeMmvN/U9+CgCPOLC/9fFoziVYqvdknEjueT/RTL/PkmJXQ2WEVbX+wu9+hLHqEtkMRncJlNvLYklJ2OVc2H451ztcjxXYQrJnymfXaIbZ5WBFgPjDGwCoPOOJcLxNiX7JpeT+/uPA6k6v7WQci7MmcoTKiBLzns1ctVckK4RguY+gfsS3OfY3n2DPs65cl5Nw7pqbWv1Kd0Be8m/bEmwbzaCBxWpAqT5c1pNkP54jmS56dM8eaK05vFBr1fd6EOM1HRwl5j1rozhnnTXUdpq1A0szjqA2xH2shapZL8227W2mI+VQ1c7vct7sx2Apd3+CNmfwYXEtseoRkvdeW8Ku8Wzb5J5x0Zwe8VFKI6Uk41pMFtxWgHTWldhN8ZolBI4t0VpTqkcsVkPjNloOcW3BWNZt1k/d45CZEMa6p/1VWnX0l7TaYiOwb2+b6pHiWKXOlpxPzpWAbAWg5VyLxXrE9pHeQNxgQL1JhPGxMoEb7QI/IUw9ae9yY6Wp3H03vOR5ffeXbCqVYuczHoW4/jY8WxBEZl4s1mALIxK1LDP/Wg91T7/+uW/+iCdcdBqLC2vPnz37pa/iaS96JRq4f6G6alDGWsxVQy7eOkKpHpBzBRdvy3O80mCx1KBWCwnCmPlqyH3zdS7ZM0YQK+pKs2ciixfXcV0Hy7J41OOv4NwLTsPOZVharHLLfXPcd3iJjGvhOxaBglBr7pmvkXUtXnv5dipRzDX3zrP/yDK5ZvT11oKP1Jqbj1WQAnYUXeaqIXnXYsS3uWWm1Cp7GGt2v/blHfdhNfQ7/gi+3DlHvWs0Q8F1qIWaJBbBsyW+I8m3BYe7tgkOyLqSIOp0yT+8UGc871DIOH1LMlcOiNRgZ/0EKSDrW0yNJONG8xzXg5gg1thipf4at21Tx4NYc898hbMn86teidYz2PaucrjUYLkZ7PLpd3+cl/7+y8iUFtbVTyUt3p5fWXlG9gLKsrnrbz+Fu20b87WIrO1SCSN+erjE837uF8j8x+eG2r/7X35t1X4gik02vJaov9neREqzVA2ZKnbOD4Wx5o7ZMqV6yKP3TvBbT9jL524+SiOKuX3GBHl6lmDEs9la8KmFCt+RWELg2TTn8hIH4v6O7TPLAVtHBBnXwnUstox4LFRCqkGMI1cfe3S3lxrTDnYHd0VtwfqDDCKiWLUCPw7Om/eh9sCIerNfXKufja++nupv/Dq563/U9/vGeRdyx3v+LzstyZaCqb+ONNcmJSUlJSUlJSUl5WeBVCCckpKSkrIpdM8fDppCasRGBLfe6GzdFCD3269cWaNecSpmxdUnERVr3d/JePScc4YvyJAcHtvOcXeK5XvniJTi4j1j3HDLEYo5jziMWa6FfPAVf8ar//GtnF6bOYE0ng9tkvu22vSzpikOzucBKHp2xyJ15fpr4R1vg3IJrryS7Dv/gqy74khhSeMs4mtJvc3+pN2pJff171O56lFmH6sxNn5KuQf3Y7kWMpp1N82ZN45jKkHMcjXs6/aUcS2EEIznPcZy2qQUbC7QAbjNbRqhMqmHT7I4eDO1QZFaXVyx2bh2c8L7JDcGUgjGfKfHTWzPWAbPsvBsQaz6pyF8aCIYzbpc4jss1gICpZjKeyyfJIfMnGvRiMxC9yAnQ1Oqn8VW/+RgS1pti1LGOW6uvHZ6yQeDjcv/UzbzwgnxwLrEJziOQxgO6bgvBK/MFwZv8Ja3nlBZNHDamAkoiTUtMWPKcCSCrUzT3U9gnPySd45hxw8TWYd9CzX2r+VeO4DPvfM1vOKDXxj4vQZmKgGfuWWm7/eeLTlvOsc1B5d43O6xjgwEYFJbd6dDbn8YpTDnmlwPIXqFlJvBMD1mqNRAF+FYaaKmO+d6ylb0bSayDq60uCso9/y2GsbMVQOCKO54PwnbNtQaxjJOj4h4EEEfAZ7S/YXDG2UYcfDPZ3K8pTC6pqD55l27WyJh15bYlmy5im6UqE0Qud6MC6FSrB4qt4JtrbwP2s13J0uY90cpmy6sWjfrjcZt1nXLMkLNtQSY3ewa9XGkxdGl3lTjALmvfueE73O7Q+A5kwXKYdRfINznt1KsiImOP/N5TH7l34ebp9i5q+9Oe4XCopnWHkayztACYYQR1yqt2TfX21ZKYLLgkvPtlR/0oDn2x3/E7DvfNdwxm5zzzW8Mt+FQ7crwo0CtjbNk9/bDOlcPc5T1BtpvZHph92imr5Npx34xY/f+BRJt8xrm/0LAtlGfxWrIbClozQO6tuwQ+i9WTV8QRCYDUoJnD99JlcOo53pHWnFoqUYlVOSbotKFqinHRNZFCNEhGBdCsL2QYaleIu+YuZPkfVspjWNLXHqDJaSARrwiug8iTdaRhEq33tNjbd6DItUclwwQB3deUcPypedRuP42NODb/QPmPFtgS9HxuWVZ/OCW/fzXX305X/3S501ZgSd5Pj+fzTMpLXwhKCDwl0osWmY8FOsTN3eohCE5z2E5iMk6MTtGfFzLophTjHsWB5cDLCk4tlzHtSXLsyV++JN9LFUCLnrq0yjXQq45UuFy2+G2W49wZLbMaN4ljhWnby2wUAm46+gRXv3Mc9i5tcjO0SwNpfjmPQscWQ44fSrPzFKdndN57jm8yK4tRc6eynJgocah5YA9Yz6LtcgI1yPjpgqgvvnVtZ2Du5h61+8x/8d/AUKweyRDps35N1QwmrUZbda3dgTguZJqYATkiSt2GBvh7/FyiBCCvG/3lCjjSKrB6u2yABbrITcdW+ZZ527BblNW1iNzTKvpfG5LU6/OGMtSCmKOVxpsLXirOqm3U480rgUL9YhP3Xys47tP/Pm/cGY8y2N/61eQSq1LJNyNjCPOec0vsPC63yJ67su4Z75GrDXPPGeS5bf8MblGBfWNr626X+vnX4jzxjcDRpzdCFVPsBQYd+5uHAlTRa9VPg0cK9W56fBSy433WKnO1mKGF124lXuOlxEI6lHMXCVgphoylc+0xg/trvsJkWoGQDTHLcYx3NTKY0sNpgouOd/BtS2kMAEWji0JB7ibw+Dg3WqXmDdWph7GWg/MzlDrU++6A1JipVd9xwiVYqEaUn73B5i7+262v+lXsJXZ79zkdsof/QxTOQ8Wajz5zEnAtLOpODglJSUlJSUlJeVniVQgnJKSkpKyKQwzGZdMdMUaVAxum5uwbhPxAh2Lt5Zc+b59SSU5ZrKdAKK2v23ZPFbb5FGsaabh6lzgeOThfVy7fc86zrg/yaF+56q30DhepRpEnLWtCFrTqIccKtXJehZPOG8LP7nnOB/+pbfxrr//zZ95mdji057D8ut+h52//HxkvQJAnM9z6FODF+Qqr3s1XNPpCqD/4wtU/uMLVIWA717D+EixJUZvX+QViJ5Vs9x3r6Hy7W/C77yhz9EEfPij5C595Ame6drY0kykJ4c1qYCHl5AHkWJmuY5tCVxLtlzeBv16taUxx4Kji8GqrkvtCwJCCFyn1xVVCIHvPjTdUh1bEAUPjJwvcSxWSved1N9MrD6OlK5l0lk/fITBKwghsC3BZN5nMm+cm+49vkZAwAZZrIUMo4s5GW6oP4tkXUkY65bAx7cFRcs+ZYW4p2KZuinVQ5M+HfNfzrP7tu2bi3Gd6kC0C+k1UdPZTTS7cKX0Gqmx++NaRmRUfxDauu/fcoBHnb12JgIfwaNdn8e6/sBtci9/5YBvhjsvKQRZx4hBIzWkSGsT8R8i2QTWYkXQ0y5oNAvxljR9a6R0K2Wz1nQIh4+VA46VA2buu2Njx1+c6zr6+hjP2Dxye4Ej5Qb7FmuAZtR3WGpEzFQCzpvMrfp7k0XGHF0KI2Bymi7DotnTrfwFwSrP3WqOrFKIloCTAZtpbRzrrPZI0eb/TXvR6bY4DJYQeJaFRFDw+ouPZysBYxmbhVVcboNYkTlF6vzMTH+xeDt7LJu3FEfxhxQ133bloznvRz8kVut3GO1H+/1drIWtLBvDIBDmfW8IJVq7EDlSuiVgMY7qvQdUaNym4+ZGusWMbRPERuDyQASoxNocc0ve41i50flln8sznnU43nRXrfz2H6GCiOlvfQno9OzteDPdvZfc575ExulfV/rN37R2MgRWcwehYmDQhQJmSgGyZN5bd41nOt5Rk6Nv+fVfX59AeGRkzU1Us30ZRrS7Hk5USKk1tOkJE2ltx79FUzzYe3DzHLm2xGprdy0pBmfYEXDxtpG2ymH+qAQhxyq11kaibXsBTGZd9kzk+r6bro6g2ohXUsZr4zDZXaZ+hPFgkVmsdFO8q1vBwu3v5fUo5li50Xp+y0FMOYi5cEuRWGt8W6I0bB1tjt+axwiVQsiVsWwQq5ZwOm5zEw1jhWPJZlvaW8AgVj3vmYkLc+W971ntgvWlVCozPVEcKOJuRBrp9L+Q7//wx/EdyW0Xns1Ys6i26Oqnf/pjtj79UcTv/7+MXnXVxp8TIfAsSakRk3EsPEuQsQR3zjc4fyrHzpEM87WAkXKDWhjTiExA0I9/eoCLJiXeFhdVzHHBdJFf2T3G/EIFSwgmsjbjRZux0S3ceu8ce6fNmMf1XGaXAoQQ5Dybo6UAKQT1KGKuEnD/bTM89pwpDizWOX0807pX+xbqnDHus1iPuOlonfOnc5w25jP5rvUH9WX+8zsoDTuLPhnb6unTFqsRRd9pBV0k2M36A6YPiGPd6kB927xHlRsRWdfqMBVQWuO7FmGpji1k3z7UloIjpZUsFP9573G2FD22F03ukuSZilt1N3nWBDnHZmrKodF0xe5GYNoYrXVHf6+0IO9aPOWMMY5XwpYbcaQ0jWgnd1z5NM67+qtDXtX+JP3U2P95P/ZFl3HVkx9Lwbfxmo2o/oe/49BXv8niH70Vjh7p/PHOXfjveA/WJZe1PqqFqpmRywQtJAdIHH2T9ifp00Jl2h5LGsf1SiPk8FKtI4tXItzOezZF1ziij2VcZppB0e3jin5u6LDSRjqWIIqTQAPT5iXtdi2IKTdiMo6pR64lUBh38aROBJHCtSVKm+PEWhPHph8sZGwKvo1jme+PLtYZyTpkPZtGFK/MdXegO8w8BhEMOC8BeI7Aji2mb7+Bydf/as8QY/L4YSaf/WiU73P2N37ERM5kJdzk5HspKSkpKSkpKSkppzypQDglJSUlZVNI1l8i1bnW0z7X0i7w1dByI00mErsncJLftk+At2/TvX37wlP3/rsXpdo1KOZ7wSMO7OfmXbv7nd5QJMe4Pbed+bYFuDsPL9MIYvYdN8LX6RGfkayDjmMqB+7e8PE2i+GlpyeP6j372FcT1D7xVTLe6sMTDVQe90ioVXu+a52H1vCEK5j/+KfJnXt+2y/p8/cKuSc9Ba67bWV/wrihPACZx1t0O7WtsM5ChAAbF/xkHDOhu9rSdbGP68jDjXUag20YrY2ji9bQiE6+i4XfdFhKapUtBRbDpaxNWZ1N0MWkDIHVdLWpdrnaRKq5OHmqKoRPQTxbopRxL5dC0AjjjkABy+of/LHZHFlqrL1RG1lHst6bvJkOnBshn8/zqS//J7/4rMf3/d4CbARP9DO8fWR8oMDNf/PvGjFWm1oriJpOVRuo92v9xJaCC7cWAeNgNVsJ+v6m6NtGxIAZQ/m2hdcuimyuP7uWhSXYkMD7oUAybowV1JTClp1171gfh/Pp0zaW0SQzOrHhcgKcNp5hptxAYgLD7pqvMZaJ+M698+wc8Tl7YnWBcDudLrdrj7u7caQkHjDwGtaRORE3FlwjJErUSEuNNcbEA1RLC7WQEd9hvhqw3OgvALZEItDqLbNxyoPDy3XOnMii9YMjEt47mUVgxCEX71m7rr08l8dexxg/PnyYMFLMV/q797eLR2PVX3zbTtSsBznHYiLn4DSD2A4t19cUIJcaETlnuNJ3l2KtcmlW0m3H63xBtIQJDvMdsWqAyma8WSXBNDTnWHaNZNhR9Ambab4TjDNhsyxNUfVExl3Z4H+8F0u8l+oLfw69b1/HMYJsDu9bPyTrmHd3pXWHmDRhUEswjIAb2jKsDIECPEdir6L4GXrOx3F4xM03rbmZFLBvfjgH+GGDA5Nntf/xTJDTWnQ/J0Zk3/m7QfV9NGszlvN6Pldas9RnDmYQttTcPbf69mdM5AYIxlbonudL/p4suBxaqA/83aBaoLRxxo21pluTllyTZOiStR32jkrumjNzebOVoFUfM00B9WnjOcwwWrSNa0Sz7JpSPTJto5YUPLEyXmvDOPEbUeFCLWg9V+34A8awljABkpWP/9PAazGQJz+G4LqbVw1MDtoEje1o4Pgl5zM1IBq9PaDA/q3/j/In/53cmWfymjf8Nn//V3+5rmJe8Ia/4er7FijFmr1jPnnXNmMrW7J/rsK9cxUOLzUIlCaqBRw8ME8267FjIsvU1BYqMTzt/Gk8z+bYUp2b7pzh4vO2srBcpxwp9t0zy44J00+ee8YUNx5e5r7jVX7zqadzrBRyxkSGUj3iK9fPoLS5X1oItuRdLCl4+tlj2FJycLFO1rU5Vmow4lvcOVth16i3bvfg9mt3aLnGOZN5+mUf2j9fY8eYj2t3vqfJAS/C9bZ24ehSg+2jPghTJ689MN9ym/dtyXjWbWbgM89KI1KU6mHL1RqaAvnjVe45bp7zi7cVe56ppN5kHEk1TBz7TcC60gqtzbtoNVDN+TBNLY4RwH3z1Y6zmMjagOY79y219nvJfbexGSRXt/j6VzHZzIrQ+k4Idj7zqWx9+tXcfs1N8Mu/CEEIjg0vekmHOBigEkTNZ6b3ObblypAzjDWeLdk64nWItXOew6U7x1ioBlyzb55Qae4+XmZr0Sfr2uyeyLB/rkYUa7YVPCxp+r2g7b2q1uXiCyttSLcreBBplqohx0sBSq+Ma9t/a0bAumM/tH0GJnC7PZudFILt45nW1fX7tGtggn6r9d7y9t22rR9zLYEQotnfCUqf/wzqbX8IDH7eZL1O5nEXw4H9CDbmjJ+SkpKSkpKSkpLyUCYVCKekpKSkbBpW06k1Ed/2m5Js1+wk7nTdE/7tIuJ+rKX56RYDdy9KJZOzus/3JyISFoC9dy9P/9LX+N5ynTsPL/I3X73dOK3Emsedt4VH7BkHzLW64qxpquUy+hsfRD4Izm3t5X6w+dIZj+GGnxxiIufwu88+GxBsyXtdZTN3rfz8Z/YVB/fl5S8ie9MdvfVlrUok2jZ7gLUrwyz4nWwyrkm366xhpzCSdVb9/sFgszWBQaSGTuV6IoRK87c/OQTAiG8znrH56Q0H2TKSYWo0w2TRZ6LgM170KGY6FxDWS6wV+5dqHdfJbrqVnArtwQPGz9TJPvyINYg+i9mR0k1h4oMrBH0okHEk9VB1iUiMeOnhhhTGyfVUqBPnX3QJtx4u86TLzmKmy4VqVEj+cmyK81x3wK+BV/8q1ite03MuljBtuRSrd1iV33wt/OA/Vz5wXYrX3MBFTQFwOYg4uNQpdjIicvP3VM5nW9Hv6WxNHzKciDOKNfJnyLIpUiuCx83mF97zidbfr7liJzcdKfHjg0tD/faJH/pTdt91PTYa9pxO7sMf44rdRpj+jHMm+dQNR9beSRdGOLOxYBkhzWL/WiLNYcuxWdy/sPLe4dsmvXu7i2bWtVqimnbOGF8Rvm3LewSxxnEEQbh6AN5m4NkC1VbGKG6msXckYdhb1nYs4NmZXIcT5DAc/v7VqPMv6ftde3uVceSa0ZeJcKUSxlh1wba8h21JbCkYFEqSiMhbGVSG4ERaoUFOdoOwLUkjUmtnCBErgupIKcINTBMo3T+NeTfOkK6tuc9+mXvnK9S6lF+79MoxGpFmrhQwknXwhggqGvbdapjtEvGiY0HBs1jrzj7iwD5uvuhSWJjvv8FTnsH5//A3wxUQI0oe5noPW98GCUFPhGGbRCmgkBnwjr+OF2LHgltm1s7WknHsNcvWb14vVGpVcfBaNCKNbbX723fiWLLVb3fciebG508XcKTEkr3BTraE5WpAIeOwXAuZbwau2NIYE3QLtS0Jy0HI/W1iyDMnsnhW97Jdb0mN6/nawQ0DiSPCWOM33wn6oQZMElQ+9QmI126gWvO8L3ke0U9u4TW/80frFgjnd5xlxrfNOeRaFFP0LE4b98m5NpMZjz//6h3s2lLg/iM1xicLRGFIVIq59a4ZLjl/G+M5l8PlgEMLdXbvGuPQfQdgdBLftrjygm3EUlLMOBRGjBj4gp1Frr5rnp3TOTMOdi2uOnuS+XJAIWNzxa4iC7WI45UArUxA5TlTOWYrAXvGfB6xNUcYa040eYAAMo5FFGtcW6LRBJE2Ad6WYK7UwHMsxnNuy3p8mLmiRqQ4slRnNOfw430LHUFQ9UhxeLn3+Rr1bRrx4GwJs5WAMb/3HcaWRoSc0D0udvRK7T5YqrHcJ1tDQqhgW8HjSKmB0rA0vYOJowdWO9VN4fAHPsD8/3hv54dBAO9/H5X3vw/OPg/5z5/k/oVqS2R77lSxZz9CCFxbtIKcLQlyQF+cd23OnMgzW20wVwn45l2zWFKwdyzLjlGf2eUGO4oZaqEiiHrHJPVQdTigJ2PXoGuQrllpxzKuRClNJYhxLCNL725fBjnJVwPFoYUaO8YyK3VQQ6yUMUDoyUphHPgPLdRQ9Bc1d9NoZnCQIgnIMGXRWrfEwauRPBk3n3kWl9571wm79aekpKSkpKSkpKQ81EgFwikpKSkpm0oSgT3IEbhb+NtvWmmz1nP77adDhKw1Nx4pkXEklhCMZBwmc+7GRMKWxZ5PfILClY8CYDTvceb2EZ556S7e9Lc/4B0vfyQTxUyf8oxR+tHV3H/Fo9Z7eg8Lkns0+oIX8uKCx66xDMcrIedN50GLPvdQwIH1Tf7OXngOues2x1XiZwHPFi1x8GouR7akuc2pRayN64gpV7/lxDY6bKwGb2ZJsKVJER4r+rpjnQhaa76/f6E18T5bCamFis/+cF/f7V1bsnUsw7axLFtHM0yPZtgykmFyxGcs7/eUL3HoStItS1tQC2McW5IYmK04iJltPdu4kNQacV8Ry1jWoeDbqOak/lw5RClF+1x+ct2y3kpKzAdj/v1Uq6MJ/VyAUtZHrEzaUq9LDGw1n9eUFZKUslqDECalaCNSQz0fUWza1VaNPUWq7rB32LNNGtX6KWbv/e3r7sK3ZU+5KuUyPO1xZtG5nV27KH7+qwN1dcY9WKOFERehO53CKk97Aswf7/1hELB8yXkA5K67jYxtc9ZEoWMTx6JDpDY4C+w6nrtTpB6dSliuTxysT/CUy604/H7qxiO4QyhRXvY7L8SvVzo/vONWMo+/lFssizNuu5VMJsMLLtzK/rnhnDETGpEi40riYKV96VfP+1ELjEthP3HAMOfVwYCq6Nmir3P1qG+DgMVahC0FrpU4lJsB4lTOI+taiOb7iULTiGIqQUzYR/ydcWTLlWxLwWWuEhBrUKEJYsk2+61+xbQt0Zaee2NI2Xmei9WAqaKPNYQSYlTKDT2elb/+IJn//eG+3yXD7GHvYvvZL9cjlusRkzmXStDb+LiWYM9YFkdIQqWoRnFT9Nf/LJJxA8DxqhEYCQGulNjNcx/W3bbRJb4ZhGfLNZ2PE7TuFFTblsCWYqB4r/8+Nn8M1O+SBJGGNi1YJYjRaLaM9M57tBPFilhrRjI2SzUjBPMd01d3X6Z6pMg4oiOzQYLvSMJYsXsim5Ry6PPJfeP7psxHj8Lffwi27YIXv4xcPj/0PsDcr25xcNG3KWTsDQtYB4mvgIGnmPOMSPlEhzq+LQkjhbaMSHa92JZgoRZwYHG4vsN3hxCT05WZTGtK1RCn+Ww0QtX3fdWRAimac5Da/NcejG0Jk2+p3zRAu1Ct6Fp4lqQRKzSanGNhCROQ4LT6ihUiBUu1iIVq2ApWMfOkvc+xJeDe+QrlZttmCTh9IkfOsZoiQ9F6t29/rgVmLmYzAmrAPJOD8Ab14X/29qH3n1zju/YdReXy/J9/+09e9/P9s2l08/Yv3kQ9sphdqHPDoWWs08eRlsD1TDar6axGAs+9eAu3ztbZMZIhiiKq8xVq1TqXX7Cds3eNcbgcMFMJmRr1qZYq3HrTvZxz5Sg7d47y6DPGuWuuRiVQHC3VGfcdLFsyMeoTKSjVQ47OVbj2vgWKvs2vP/E0PFuyo+iQdSRZ12LsZc8jnjnKLiDavYfKP/yr6W8cq8fEYthrdvp4lrGM03KdT/oG3xbUI90KtqlHEUprcp5x2K326Sv7UQ8VdxwrDcyQ0I3dbBN2j2YY9R1uPLrc8f2xUp2prNfxHm5bAq30qnFB7XV7zHcGCoSzjiSMzfu/AIqexb43vY3Tf+3nhir/sOx74xvZ88EPoLURMu/7/15H/StfWf1Hd95G8MRHs/XrP6AWRSzUor4Bc2GsiZoXw2oGNbejlKZcN21HpREhhWBLzmcq61ENIw4s1bhnrsI9cxWmsk6He3QtVB1if43pTyzRHEe3gvhWZkvbb4tjCeqBItErh7HGsQSOpGOeb7Xp0Ehpji7VyXkWaJhvBtBlXUnOs8n7SQCK5sBctef6BJFpe/s5rbuWwLYEUayoBjFSiNZ4bfGXfnFwofrRaKTuwSkpKSkpKSkpKT+TpALhlJSUlJRNRQhwmpNgyUQ8DHYEXo/bZ7vAeJjfdc/1tJchWfi7eHtvRL8t4fIj+7nu0U9AdaXSTJBjY1xw/TV43krqRaVWDqq1mUCzLMlfvW5l4rt9AipxMh7bvpX71ziXhzOx7XLFGeM8YksBrQW3zy5jCdnXoKbyrrdt6BiVu+8md+aZJ1jSnw20pjXhvppj1WTeG7jwDlCuBXiOjXOilinr5PbZ0qa6xiWcM5nDkRb3LFQoNSKTCjDvMeY7JywYPlpucMuxytobNgkixf7ZCvtnh/9NPy7YM8abX3YZsdI8es8YOcfm6HKD0YzNWM5ttWdKa8JIcXhxxbNtqRoymnOwkGDB9jGbKFbMLDcII8X2cb+5YLoiDH6w5JoDj/0g60eHTTOcMphknNHtNhMrRc61WKwNt9j5cGJQfQ9i1dE29ksV3L6PdpZqUUvAsxn4tkTptVPMbwaJI/5J4SQtKubyefjhDR2fJQK0YS6ZECupyZPuqXTlxb2C4z5ULjuvb1DVSblTaRPYwy9/+Hv80yuvGHr7x76m0ylruRFDY3VRyKte/8yBqa4FQBxzz9nncMYNP8UfGxu6LO0kz1wSlFCP1KruhO1ESnNowYxvxjMOrjRBRp4lV2232hnN2FT6iF12jWQYz7jccLTXYXmxHjGRdcg4kt2jWewel7MVcbHApO+2HUnRc7jl2HLPtntGs0gh2TORIYhWRHtJv2WuSX/R42aMmroFokGkWKys3QYkZdwIlu8P/k4KIzyJ1JrOqIOa1uOVoOkOa4SL9UhRD2P2jmVxpPnctSxcy+pxYPUdI/yNlCKOzbjBsQRHS40e4dt41qHg2fiWxJarixcVINaolKberH7O7aLl7gCnqCkmci1hHLqtlRCzRqT6PhOb7YhnW4JYd56DEWf1SZ/eJipVWtMI49a7UqKlr4cxC03RUOKW3IgUbtO1NWmjrGbfVwt1yyHakbBlxARESinYP1dlsRoyml3Feb8PW0fMPI4u7oH3vGel3jcDTYdx4KwHEUeWej2tE1H7RhDQEo/1ZcBXec/GEjGx0tTDXmHVeji61GAi7+JkzL2pBREZd+0lJClgJGMzmXeZzLtct4abfdaxhnb77ibWmjA2/yXvACaAWRoH7UgRKt0S7/u2pN4lgm1EGqUUs9UGx7tc4AUwlnHYM5oliDVnTea4d66CRHDGRL4l4lZat+pwZ7AiRM0qIIR57+t3Tw6Vai1x8N6xDCO+SxTr1jxMzIoI1LPNs+87EqUUUgr8pjPric5/RGpwAM1mvrNuf/lzOfhv3+aKSx/BN6+7m6dctvoc3bu/eQ+Hlhqm3gcBe304eHiB2++b53GX7eIWpQmn89SWltn90mewu8vR+Ghxmuvf8/ecvzXPXcerzO8/zKJy0I0G46edidZwz2yFR58xzunjGY6VQ/aOeZTqEaHSbC/6+Lbky3ctcNnuMabGslRDxdUHl3nsnlF0qcSuX3wqSU+R/F/efx/uky9HScmB/7ia6OnPZfRrX1jnxdpBxrbpjkEa5LBaqseU6ub8E9GpEKZPUVo3A58MicOtubMOh0V91Trk25KiZ5N1LaZzBQSCWMHFW4scKzewpGAi6xKrpqDUEoSxGfsIINJG3CkEhFFvFoX2f+ccmzMnsizVI2a7xi2+Y1ENQy7cmmOhHrLciFlmYwLs1Vi+9qd88ZajZr8H7mHPV74y1L7tWgXxm69m/MMfZywTcaRcZyrrt8rmNoOFNKa9jDWUGjEjOdOWlOsRi82Asm6kEIxnXMYzLo1YYUmB0L39RaxUa8wTa+M2DaZ9SuZ5E3zHBFUnQUiR0k1RsXF9Tkwjgmil3sVKce983QTT2RZTOZco7pxbaESKKFbYzX7UdyT1QFENAsJYMZp1EUKQca1WnW2Vvy1IKuNIgljh2bI152NJQRDDsUqd5UbMqG+T92zELTcPcYc6uelxT+SiH3xn3b9LSUlJSUlJSUlJeSiTCoRTUlJSUjYdIYzTWILWK4uhyfx/pFZchjeyBLrWBOBqgmSTjsocP1Yr20lhJkmTMl72w+8BcOwTn2T2w/+AbgQUr3o8e975p32P2ZEVTCSTseY4UhjhcRqhvkJy3W/9+39j2hYs1UPGMy6WFBxYqrKrmO29h5/91MYO9pLnQeoivCYCswCsWFu4lVnV7UczWw6RImRL0R/KGehUZ6kRMZmV7B7x+PTNSyw0F30dKdgz5rNrJMPWvMvoOgTDUay4/miJaw70Lp4+EE3FK558Fo4UnDudZzznIYXgtKne1wMpBJ4jKPg21SBCK3BsSRAq3LbG3rYE28cScchDoLF7CBQxZXhqoWotbIexIuPaPxMCYc8WSGHSFcdNAalnGzedpt8YCNEjkn0wDZaDWD0g6TwzzkkUB8NJF7i2BGOCdZ1He7GUhsoXPj+UODihn0hYnIxzTdvgHnK5HE/9r+/lG//rLWtuu+fyJ3PJc1+5rv2/8vXPGigO7uaeiy/h3PvvX9f+u2nXqA5zTK01S42g5TY2Xw2ZyDpM53wqQTR0u2VLQT8N6mjGIVKaomd3uOXlPYtyI8aWsDXv9xUHDyJWcPZUnttmyriWYEvBI2sbd0nHElQaEZVGjO80BZLauK5a0oiDLWnEsxLREo2s5uQ4LPUu4XEQa4Lmdf2N3/lDPvQ/3z3wt0uqKS5c5zO6/c2/gz+WYb4SoLQmbhPnJQKlpE44svkurpuOpUoZoaBePRCi1BTA5104azw30LlXiM6+UKM7xNi7xzNYluDWmVLPb+erYasOTuZcLCHwbInfvK+RNsKXiazXmt9QWvcI66QwwR39BHfdJHV7NfF00HYtEwYJxRp9Uo2fCAeXqh3nIQScPZmj4Do9514PYo4tGefcMFYtt8fxnMvxcv++KAn0AvP8CtEUT6kVAXEiyLQs2RIHg2DXeLbvPldHrCl47Rds3v1JuO5nde2Zr25xe88emgVLMkOAcXk8thy03uXNWFC2xGDJ41xdZb+eLZrtktlmqRpSbr7vNiKFJQM8e/VGQWmoNmLyPtx0uDdwAoxIcCzjUoti8kOIjvshhGgGopr2IIiMEC1WmqiPo7v50YAyo6n1EfBrYL4WsiVv2iatBWdN5o3Asa3dSVLce21B0RLTztvSiOsOLFVZqEUUfZu9o1lilQjgV9w1z5zI4ln2QHF48jx7trlHAtBxZzAYtoOOwvU13Vdc2fpzS9FH62ZGJky7ppVuZmyJW896xjXnupFQZdGoMZF18KRkYnqaGw8usVQq89RLziBomHYjXxjhi9fdy6FSgztmKzznnAlCpbn9sM1PbjvGd67dz4ufcjYHyyGP3mpz/iufhV8uddR1mn9vXZ7h2a9/Lsdf80Y+V7gMz1IUxx1e96wLKUUR1+9b4owtebYXM9SimOm8SxxrqlFMECmmch61KObZZ4+jgTvmqlSaz8jVtx7ipb/9gv7n2fy/VIrdz7qSe//jh4x+7Qs9btirkfvC1wHT9re358OMhZLAl0RQXgs1ta5nI9mnQLBrJMO+Aa7fF24pDjxmpGAia4ItTHUUrQAcrykUTvqspA/r7pu6A8gyroUTSzzLxhKCo2UThJF3rdbzUgsVU1mPS7d5FD2L2Tf9AdMfeM+6ru8gNFCfn2Ms4zBfC9n1668Y+rex1ljXX4/nSBzLaT7rmqxrk3Elc5UQz246n8cKFZv2ZLkasFSLBmZAciyTISm5TgLREo53B89FsREJ99uVas4TxM0xQhhrouZYzUzriY5xW1KepB92LZhpRCw2+4aMEzPiOUghmo7+Zl9CGDF0PVRkXUm17T12sRoRRpqRrE2pHmNbZm7AkZJYmfORUqC1Zr4WcO98lZ0jGUY8E8RXDWKyrsXukSxHSnVmKgFz1ZA9rP/eByf4npOSkpKSkpKSkpLyUCQVCKekpKSknHREEqXeNltjS0iynq01v9m9jCJFm+h4ld8lgt/2MrQLUqSANUyBANjy0pew5aUvWXvDPsd/GOgiN532e/apt/8dtYrksYHGs2PGMnDh1iLVMMa3BbXuBdUTSJca77sXZ+/pD6oo6lTHs42IbK1LVPDtVa2p6mGMxExAH1uus30084A7CW82R0sNjpbM4sRj947w9bvnjRBRae6eq3F3MwW3awl2j2bYOeKxNe8x6tkdTlrtCCG4fbbS93pPZk/+MH3f0WWefuF2to1lhnBvEkwWXLR20Vq3FuW7t3lI8SC3BeKhdr0eAkSxxrelERz9DETkuC3hUWdl7v1sfZX9ZD8aqikIiweJODaBYRwbT5iTXMWkEGuKu0zwWVN4iCaK6b2Bb/v9k1PAEyUdj/XlnKt+jp3nXs5HXv9UtOrvBvyM3/sAZz76aevbca2GtWruh172/90/Il740vUdpw/DNMeVMGKpHrJQW3FxFMBCLWQ652/K45bs47TxLDccWRGv6WabdKwcUvQ1Waf/GCxo9jHdjrOVIGbniE/RtRFC4lorQrvj5bDvvizZdAVXifCx6eNniYECsVCplovqWmQcSaw0tSjmeKXBaMbFs8yL6Rvf8t9WFQjHwOdqZV6cLeCuI5qjcNFFgHF3BYjimNnlwATNNp0Ec64RjCRNmxArQqYYbUSKwrhAW9IIYCwJxyud13Ei6xpnwgHlU6pfX7iClALVFC2vxvEBrstTOYes43R81i5yci0TuDOMODghiBWuJdblrm8Eg7Jvf1frI8xJRMux6hQaW5KWe6/dFvXcujxdRdo7lsEWFo1I4TmyY4Mg1gRdLp5KG2fXsazTcg5OiJW571Gs+gr7k3Imr1P1ULGv+d41XXDJ+05H0Hn73FG7UHBtwW8v7dt0z0nFSrNYjVoBBpvBMKJu1zJC2O52KCmval6v7jrRff4Zx2RzSILMjPBTtO55uzgMzPkqbQR/JgCgc39OK/W7ZrYUcsZEjqDpcnl4uU4tjHEtyWljxl0doOBvfLIs41iAqUtx4kawCvWwv5O9LS1yrkUl6L2Hp3W9I0eKpgiu99oHbde7GoVUQ8VMudER8LBcjziwWGXPWLbZ9sMjthZb9yZWyfOpW4JnKYwrd6x0x/Oc7NaWgmPlOr4jWfq3b1B8zlWrXoeE5Pel936II/Nl8q7FVPN5stu20hpmlutNEb9pn08o+E4Icq6NFnDnbDn5kI/96F4AzhjP4ts2WmvKQchFW3O4tsRSiiv2jnH74RLnPmInwrGxZcQTXv8L+NVS6xq21/P253/y7z/I5S96I/nnPg/bdyhmXBYWI5589hQZ10YKjGu8kMyFDSpBTCWIqceKyYzH3cdK3D7fYEvBQ+mIWqR4SVMcvFovmXx3+s89muue/hIu+9onhxKx1i64hFzbv9trdyNSuLYJLOrXDoDpQ0dzLtUgYma5fz+WPN8a49p7/lSBhlLcM9cp/RZDOHoIwHclShnH2jDWCARBn2clbmtXBCaQJBGgQmegzETObQmEd48aEXMliJnMuVwwXURpzd3zZcKfewHVH3yb7E9+eMIiYQH4lTKqOXiVevixswki0sx94YuIpzydL9w+y0TO4Ql7xjgtk8WzJXGsUELgSIkjzf2cq/QfK5qgDIEU/QOIHMscUzWDlcx2Zqw6qC+RQpBxjAC3vY0PY7Bl/xud7CtScUcfvntkpY1MgsIytqTWli2iGqhWf6O1GSNESjFXamBLOLRcR2mNb0nmqgGN2LR/41mHmXLAdM5tZY+oBjELjYBQ2cRasyXvs1gPyTrpwktKSkpKSkpKSkrKsKQC4ZSUlJSUBwUpjHNQpDoXcPot5rSvSyW/A7MQEKuVibD237c7AaecOiT3Z37H6Xz+v32o9WGpEXHBdB5LCMJI4wjZfyZaSLRWG5rwrb/gOVjX3dZMyfjApDZ/qBHEZoG2vsZi9mjWWfV7wUqawEQkPF30cR/iIuGEahBz1WmjfO2uhZ7vglhz91yVu+eqAFhhSBgqzt9W5OwtebaPZLAtSRQr7pyvUmpzsPMswVjWoRLElGoRl5w+gU7c1gTkmqlz60HM9XfNnvB5fOSbd/Hhr93BV9/+bM7bNTbEL4yj1yAxRsr62Mx0rSmGWEMcGXfapWr/hbaHE1aSm3Sz0UOsBJ/oIU4g4GctMk0ByEl/wk7yAZQ2C7wCIxxrH/wkAQaRah8pN1OxboIwuvKyF5D7l8+e8H4ecB4i3dNaxcxNT/Mbn7oJgJu+8gn2XfMtJs+6gEe/7I0bPubL/tvwDmgJ1Xe9ndwmCIQ9Ww4UtSqtqYQRR0r1DldGAYxnjeNvrBVKayZzDuVGTDmITWrlAcdbqkdMZh0URjNWj2KTFjkRwyk4ZzLPHcfLrfK1XOmCGK1137GO2Zci60hirVFKEyqYyrodY+cg1hCv7uA6yHl0kCMuGFc40NiSVgrolbKZ3wlhRB8zlTpCCPYtGCHlQj3inIl8831arOki/IlqmRdm8kO/UDvnntvzmRS94qUw7nQI7u4KGpFxVW7PADCZ633vWFMjvUaxDy3UCGPN1oLHwabb7XqQfVymG6HCdwSCtYM7+hErEFavG+BaBLHqK1wHI+RzLNBamGxHmpZoub1+ClbSwferm93V4GipwVnjNrHuzVAwCCmhmHUoN6KOep68k7vW6mOP7mJJAVnP7pgrav//an9vhG7RmRSCneOZ5r1qdIiEixmb0axLI4xpRDFhpLEsQRjFLaEzulPkCas7SCc0Yr1q/ZBSEK8xNrSEEXOZa9+8/vZw99ISRkiW1B8pmi7oAoJQtZ5vS0gyzXf/PSNZQCO6nht3QBBtPxYqAQvVNndckcz5iU5DAm3KEyvdM9asN52qO9xLbcGWnM90zkdrzf6lKlvzPrUoxrOsnv4giIw7andbrTHiuWPlBsuNqBWw2I2UwsyB6uT4K+XxHdly/kyei1ib4BDPFh1ifzBu0bccXSLS5lpkMlliz8NqNFZtApNiVc85DymMQLERmT4StBF2I1iuhR1tsUA0t9k48e7deFLgSUnWkT2u1vsXa+wdz5K1LfaM5qjHEWjzuSUVtiW56uxJgkixNVzEr/a6wHeTtCzP+PQH+c9f/EWefs4UUgp2j2Wwm/MbkYZqGFNwJYvVkPsWGxyaq1DMuuT9BtfvW8JxJLmJLHnPIvPFzw6dkSHZ5t7HPAO7Ueei736+b0a85LPFcx7BF974F/xyIyLvDQhYajlXm7rY3iZM5h0KGTNvtFosZhhrHAlhW7CNb1nsGcu0xg4A1SDCs9dYQu4jHJcD3lODWJs2SJs634gUQax62nhYCYKczDoIJDuKPncer7RExlorRnyHSCnC9/0Vxz/+MSb+7/9sL9aa2QcHnA45HTE2maOxjt8BNLTm5j/4LS675lZOn8iA1ri2wHcluqKxrc42yJK9WW+S/jAJdOpe70gIY5C2mXuNopVAMwFkHNGROQGa7Xzz2BlHIrpmpKKma38j6nUgFsA989XWeH5H0cduOq60Z0tQaFzLjGOSYUnrmK7AaboUe44kihQCzXw1ZDRjk/dt3EhjC8g7FpPTBbTWJgBFmqwQruvj2RJLmAxn28dMEOHtw9+iFZzV57VTUlJSUlJSUlJSHo6kAuGUlJSUlAcNq6kBjZSZPBq0gGOJ5rZ0Lk7ZwjinpTw0aL+n3uwxCkcPUt6yAy0El24vYktJFGvspnNSMol4uFQn61hUw5jg197A5N9+cMNlaNQqZJzCwAnWn3WUbk7kr3JlLGkWo1ajd+Jac3ihxkTeJe/bDw+BqYYLpnPcMrN6cs1KPeaWw8tcf2AJMBPu528rcu6uUW4/Xu3YdjrvEmuz8OhKOP/SPa3vxjI2C80FuhHP2hSBcK3plHT/TGlIgfBDl3417sGOETiJ+sifeYI+i1qnCpvR90hhBG2blTq8hwegiT5Z9yfjyhNzNjuFUE0xopeITDqu2WCHJ9eC+ETNDO/sXGY9RR+nHh4qo4v1DIMufOZLufCZmyDSrW8kGfjmUAkjwlhhC4nV4U6qWW6EHC3Ve/rksazDXFO0u1SPOr6br0UEsWZn0e34XGmYyDos1ox7YzU0D8J41qEWKm45tiIkunhrsek0rjsEkWHTVdY4sunm+2fnDdOsiCyNmLP/E9KIeh1cEzxLUh3CRT1xkBTNNNu2FExm3ZbTbqRMGZfCiP0LNabyLrUwptTtaKo1DRWzVAuZyLr8xu/8AaWlRf75wx/qe9wjccw7l+Z51+jE2lkmhGD0U/9Gt4RS9rGOHiawpVv6PVcJmcy5hLFq1YWlRkjRGyzsqDfFuvWw/7EScd9E1t2QQNjuc24aqIcaKU6gxdTr7x+1ZqAAXwO2bI4Xuqqb6S8EUooeV9W1qIWKMNZ97/EghBBIYYIhZ0p9HC27dlX54Q9gcprcmWf2bOpYsHMsO7AxPVnv+e37TNoFS8B43sNzTN1USuPYEksKsp5NxrVa294/V+bmo72CxtPGs2TXEuANgSVhLGuzUAn7ujG3yi4hbrZvuvk7NWTFS4IhaqERpkfK1AVbioGPtjn/3ns1KMtOr3fzyq3WbZuYmInOg7YHibWLzo2DpdlGAo5tXMTbgzscS3LaWA7HkjiB5Fi5Tqg1W3Ieoun4KZvzkq6dtFQmY4URsUkWm22UEKIlgmxnxHc6ihzEqunmufpzKLqC5yOtuOVIufXvWEM5iPG/fjX+Ux6NFQZtV2+FZA+N7buZff8/kmsLLJgpN/jx/gWCWHHOZB7Ptlpu9NDrSo21vgGnAMY+++Vm+aHgO1TDTvllqDRHlus0opg9Y1lKjZggMsLggmtz1q4RtuRddo/6+G96Xt9zHHRsDZxzy/eJz3k+y9WQG46VGLUke6dyLIcx++brLNQjJOZdslyPOG9rnlzGJVfMMJ2xOVZqUAkVr/rIXw593gkvfMev8eV/+Dp3/tIbePIfvZqJuSMd4tV6ocjCZ7/B1+6cZ3vBJTtEOrpGpDuEoAXfppBZ6RvXcsm3LUnYNRbJOw5nT0oOLtepBjH7l2qcN11oBimt0O5e369r7yfIT3BsiU4c9+1eZ+9W+RVctKWIlKYvc5XgvKlCy2F7qRGxUAspehYLtYiJV/wy+1/wUiZ0gPVbr8U5fhy1uIA3ICPHqnz6kwQveolpY9YxcNfA5xcXuEhrdo94CAHz1YAzdB5bCipdY8JYQdgMcDZZCM31aD+i0sZNWDQlvS3hdMFrjUeOLtepBaY9TsY47dfflsaMI6EWmmP6VmeAUS1U2HJlLJLMO4Sx4oItBW45VkJrTcZdab/ttqAJKVYyAdpStATLGk0j1M02z6IRKHxXsmski2vVma2EOJbAEoKs5zCSdZku+DjWkFJ8x4FwfQHip//zP65r+5SUlJSUlJSUlJSHA6lAOCUlJSXlQSVxBDaOGyuTUAKzUCHFcGlpU0592m9jLqjwonf8Kl//479m15WXMeY7xknCosOVxJLw/X0LHEvS8176XF7NBzecNi56ztOY/fL3+PQtx3j+edOMN1OSphgEa7s6TuRcVr/6mkafCX4NHC8H1IKYiYJnBAIngQequYiUZkveYTw7yvfuX+y7Td4WzNQ6J6lroeLa/YtkMjZmebJtn7Hm6PEyi9WQ/VHMji1Fkjn8vGu1BMKZTY6M+JP/dx3PuHRnh2jn4Ua/Wr1cf/g7zP4sMkx65ocyyWLsQ/kcHWuwmOlE6HZf+lllEwyEe0iH4pvLgxHAMKzT3SBipVioB4xlXKwuF8jE2Qv6O2A2IsW98yYoaiLrMJ51EQiW6iHHyv292dYq61imczpTa81cNUKjKXp2x/vjUi3sEAyOZx0OLNdoRJqJNiFywqFSnR1Fn/2LNaphzKXbR5pufc1jYVIi3z1f5Ql7xlC6t7RGQGaCH13LOBTGaqXtG+TCmLhe2pZkuREiheDGoyWKvs1PD5dYrEecP53j8h1Fip7DUiPAtyWulGhgptwmvCyX2fXSZyCbAq4IyAJ3/MlfwGOeyIv/65/wije/nV9+yqXMHT3cUQ7H8/izm++HJz8GolXGS47D5HU3M5JxGKaGxRuo/Bo4XgnIu1brfvmWXNNptx7qvg567SgFW/MeUgoaYcxSPWSNRCoAq4qmbUt01Jf1ECm9oUCXqCkk92xJI1QdWuBaqNg+6nF0sdGtEW65XW+EGM163hySNsIbkApcAJVfeBbs39fxeSu04S1vJffyVwKwpeifUumiLCkoZvoL1tsDDAYFyZYbEQXH7jgl3fNHcx8DbpclBVMFl4xrE2uYKw9+bqPYzLElcyqWEBvKrlRvuuma56xTDKi1bu1/0Hn3Cu01M8sNKs0AB0vC7vEsSuuh2g5LdPZByTkJTD/ktjl3Nvo8oxN5l+Va2NQDCnaOZLjh6DKlesSZEznAXLvkfAGkMG7x+xarLLS991eCmMmsy/HqSpt81mQOV3bW/1iBtsSq2R9MsEMi8oNDyzWOD8iUslyPCL92NZV//ze2v+8dPd8rITjwNx9D7Dqj1Z4WfZtdIxmOlupsybtkbRuBQGIyJ8GAe/itH8JVVwwsdw9W57kPmneqhDE5x+LAYo2sZ9OIIgqeQzWMOLwccOaYjwSkitc9rpl411v53iWPp9SIWKzF1OshmazDgfkalVijlea2g0vsns6zpeAxknW5bbbKBVtz5BzJUkMxnrHXPaYSmJmfL/30CAB3/uYH2Lm12NGHZR3J9GyVyZzDk04b7+hnlNYEcYxnWx0Cc4FxFTeCTYvJQudc3VoZvIJYtcS27XfDkRZ7RrJoNOUg4tBSjS35DGCeS0sa1/lMM72fEeT3jgFNIEFvhrJ6aLIxqDW0twIjJo5j1bwGuilAjbh/oYYGCt7KPFnetdleyBAqhf74p9Fogle8GO64bdXr0JcwJJfPswysLdVewQJuikL2L664MG8rehyYr/Z1SQbTFroCqqGmphSWBEcaUW7SNCduwu3tbC2IKGRcolhRC5KgH1rBUbVQtbnvQjXovA9aN+uARYcAPFYrguRYr8w7TOQcnnjGJAuVAKU1SoE34P3bNO8mCMMSMF8PuXO2QsY2ouG94zkOz9eYq4Z4lmQ867B3Isdk1u2pFIlZTPv/uzn3S1/g9qc9s/8FHsD4Ex6/ru1TUlJSUlJSUlJSHg6kAuGUlJSUlAedZILHtToNQE6hNZ+Tzs7vfZODT3jKg12MDdHuejEsySL90975ej75t1/jkdtHMNnzVpwHbEtw68wyj9xR4IYjZQ4tm8WVfXsvYM/9t2yssEvLHCsHlBoxH/vpEV78p68hf+xQ73bveDe55/7Cxo7xEMaSYk3BdHZAmsOEMFLMVwYvSFaCmPpCjemCi++ejKHoA+cNrTEBDo/ZPcLV+5d6vpdac6AtPWM7rhQEStO+rBUrzWI1RAiTNrJ9HaXadBEZdQQ/uu3opp5HpR5x9e0zPP78rZu63+HQTeczhURgDesQsq4jpDyQPJh9dyIAOFVw+7itr5Y+fi2Mm8/Jr9Fr9wQnhtVc8DxhmuNH3zWCqAdaNC2EZoDOaZhfA6BRfZ0oO9E926z6nGm9tuPnWkcUguV62BL4SA1bRvyO43dUxWbXO6gHFk0hUvJlssBrt4872ou8wSoYK0Ujik5kF63flgPjcpV1LcZ8t+92yfOcuLhqVlKeryaC3zPq86rLtq9ZjuSS9BtrJ8Kr5P+lIGIy57TS1rdXATFgH6vRXfpIa46VA46VA8YzDuMZlxHf7nDTHUbANVcNewS5/QhX2ZfGXHttm9TvxolYcfOxCgJ4/N7RZrYQje9YFDyL421j03oYk3Uscq7VtyylRsTts8aZcUveI1a65WompEmjfcPREvsX6wjgwq0FxnwHpVYcVY1Ao7dNsmXTWbIrY0c9jPnmffNM511+tH+JXaM+y/XIBIR09Wu3zlSax80zW2n0Fcnues5jW8Jg6Lzve/7099DA/i//CMey+Oo1t+JZFlKIXnHqNTdSKZfhWU+Ealvmi2wWvvwdcvm8aXurIVO21RI3D2Ko53JAJS0HMbHSjPo2Sg+XKaAR6R7hS4IkcZ32zAc+7BjJcOPR5TX36zuDzzGINFlXtpx919vvb7SbV3pFnDWZd8j7Tls7INg+Jji4sH635EFstJyW7O+sOn/Ruav/8L1/RuUf/47cV7/DfCVo9kkb6+seuLdFQyKE7Df2caRgPOP2yRTQn0HxnAITDFEN4jUDfmFFXK9heHFwn820NvM2Y7bd0e8dq9RZrIVsK/oUXYdIK5wucaxlSUAThIp6FPeImmMF9zUz7mRXeeYS3AHZNTSJCejg8xzPObi2xXTRYqkatMY/kznT/0dKkxi61pvOm1qvPHdZx2KxHnLedB6n7SbtKPpoYL4WkHPsvu1BEKke8X7SjC41QmzLiM8jrbjlaJluhDDCyMmsgyUlthCUf/FF7H/6czq2G/FtluoRniXJuNKMcRyLy3eOcftMiXIQ04gUMzowwkIpCJXmzIksntU7b5PL56lccin89PqB17Vj+x/fDDRNIlbpJ/KuTawUCCOcPl6LqccmMKgRKebrMaPZjT3BArj+jlmKoxkuP32CqbyLpRR/+f+u5XdefAnbpnLYaHaOZ5jIORwrR2Rdi+m8iysFUkTkhnD2XQ3HEpy7Y4TpER+toRrGZGyLUGnuX6jzrLPHma8GuJagESsaUUypYTInFDyL08ZyxObycGS5xlwtJOtYPPHMSbrbxKXmGMcYb/SOTWMFWReqfUzdpTDjni15nzhWWJZxk45jTaBWBKit7TFBoGFXfxup/m1upHSr7bHEipg5ihWhAtsyGQWSsZQjNJY0ZXbkirv1Ym0ly4Rsjq+UNlbfGVdy/JdeCW9/6xB3potf+mUA7o0C9touzpDvVjMq5v444rSxLLUo5mipQd61iRQ9WSWSuYJEQJ1ktoiVeacBM94QmGst6ZzrOF4OTTZG3SYcjlcy6ljSvGsZMW//Z0ZpoCkINoJh3XSWFyhlnJtbOnMBGdfCki6LlRAtNWhtxrbS+BtHzYDCw8sr4w2tNUfLIfsX61x12giOFDSimHO3FBjxHWSzzWyvJ1KYemGyaKx93fMXnIcsFlHLa4/hAHa97y+G2i4lJSUlJSUlJSXl4UYqEE5JSUlJOaX4WRIFt7P1zDM5+GAXYh30m1pMBArDkkz+nf/xv+K+0/+YgmcxlnHIOJIg0s2Uusad5dLtBerhEkv1iG/93v/kla9/JtY6jweANBPGF1z7Ta748J8PLvfb/pDKn7yV3LW3rvcID2ki1StCaqfgWwMdgBLq/Vbgu4iV5shSg9FszGjWXXOf60E/oMu9pv5sL7pcddoI1xwodaTnW41D8zVcR1Is+ljSpKENYsVIxsaSxuXDReFYFrYlKLqS5YWA79+9hG8JLtw9trIzAWfvHefT37lnQ+cwX26QOcGFro1QDyMq9ZjlttThW4sumT4po09kIf+BFgH8rCPFg3fFHXvjrn2bjRTrEFysgmOZhTmtabYvD4RA+CTfw00SOdcCI9Coh6olTs04kuoDJBTWWpyA4LsZDCUFNxztDTBZi/On8gjRX1yhtebW2ZXF0d2szz1WA29800fgEze0Ptta9Hj3Cy5s/duWJ+5U7Fgncv36E6mYu+era2+4DqZyLn4fYUw7AvAcQZJw3DgVmjFnPTTKiPZqP5pxNt3tOudazPdTeDQpP/4pFP7zm+vaZ5jJtf6+b2Hlus7XQuZrIdsKHmO+S6BijlWivqnMk7Trw5D3LOqhIlIaZzXhvIbrD5daQkNYaW81tDI7POn0EfJd4mCArGtRDVXLGXE1ir5thBpovn9wgaJvM55xWKxHREpz49EyNx4t41mSJ5w+xoXT+VXrtSWN8217faiEMT85tMS98zXunTeBZfsXBws5867Fo3YVuX9AENquZz8aqXXfZ779s93PupL8tbd2Opz2+U0un4f/vHZgecC0w5VGhC1Fj0DYlsYBMNnuRKg1BdOOFOS9iFgZV9DoW/9B+X+8HaseoKSAiy9iy/s/1hK+tLdZn/jnv+dPf+9NPft+wUtewZ9/4G/WdCYGyDo20Sr3uV0A5DsC2Qy9WS2QJeNIolhhCfP3al1x631HC1Z8Wk3QnTlOTN63aQ8z2OzsLZFWuOvwVUzqmRC9YUiVy84bbifHZ6i88iXw0U9yvNRgNOti9wku7H6/7z7eMD3PfNU42SaPhwlqF61/J8cQArbkfRBwZKmORrf6gmTbu4+XO0RskIxZLM6YyKE2oTuIlCYKNLWm1DQRmlnCjI/RYs331IwrW+JiS4hmUFpb+9CnCkXKzNtMFj0QUJ+rYVuChZoRrh1cqpNzQyrzS+z8ledhtwUa3AZMvf+DVJ/wtDXPb617JjBOmGttJdpmCxK3TYEg41itZyTr2jzv2U/lJ1d/v+2ngn//2vd5xMWX8L1vfYMbrv8xv/LaN+D4ObTWjGUcip6D0nS4hAphnsd/v+04v3zJdjKupB6ojvORQiCECXipBCHHq0FHfTli1dk54nNkucFE1qERKcpBzIhvM5VzcaTVExhW6erfJnMui7Wg6TiraNQUo75FOYw5tlRn1LfxbMm+hWqr/QuVxrMl1ipzNbm//ziVP/gd+OqXVrnsgty1t+A5AhVrQmWCYrTWTOYcwlhRbsTE2rR9X7z9OHnPZirnUKpHOLbk7MkstVBx0bY8u0Y8Cq694TeVRz1iO+dOZ9ia94iUZjzr8hevexyNWDFTjdg5niVSEMTw3fsWAdhRcPnufYtMFzwOHSrxcjY2//knzz+XGw8us78SsTxn+nAJnD6R4cBCHd8WyGadaR93JZQaMfcvVImUph7FxoEXOH9roScbVNCcl0uEtGGs8W2JRqM0rb7OZEHovZqOZZyFk347VArfET0C4ARvQBafVpBgF+1jpVh39o8rQlrdtr15L3YdI24vNToLIoCMbaGUxrOb4/EgZvQFL2RxAwLhXM6MgT9RLvOW0TGcIe52TSk+UimZc3BsKkGEJQSOWBkDebYpv98noCGMdCtbUEJy/XeM+ji2oBFqjiytjBHbzRmSdw9bmnm1SiOmHqmB41JLgmuZwF3ZDIJLxtNBpHsE5bVQUWtEgEBphRCCQ8t1jleDZhvc/zj3LNSRQvCSR0zjezY7RjJk+5hFCAH2OkTB3Vx2x81cd84j1hQJb/vD32XLy1+2/gOkpKSkpKSkpKSkPAxIBcIpKSkpKSmnCBfcewe3nH7Og12MNSe6kym/T7zjI9QmtwBw1V+/jdNu/lFrm/XM5V3wnX/Hes87mcw5LDciZisBB5sTnpM5swBSCWIu2pZnoR7x08NlPvrXX+HVr19f+jANiEddydR9tzLZFAevWk6tqVx2HrnrNpCO7hSl8sMfwBteC7o54Tw2Tu4b3+/YRsr+CwQAI9n+qVPbKfgOtUZMZQjhy2I1ohYopgpeSzhwomxm2u6ca/UsrvVjvhpiCcFjdhe5dabKsWZ650ALHn/WBIvVkJsPLePZgtMnc1hSIITgpoPLwDKvvWovI013Ir09zz984RaOLTc456xp7p2rcfZUlhsOL9KIYs7aM8FyEPPD/QsdZbj0gm0ndK6Zk+LmvEL3bVFKcWSxN614fzlLr/Phid7m2XJ9051mHUsw4tmdhRRNiYBopgRu+26tlJ8p6yMRQjxccC2B0mbxdFPcdk8RbLk5wumEbq2xfgADzTblLDZY3vWIEhqZHH6tsvaGzf32O69uZ9hIGXHzai65DxeGOUNNks53Zesg1hAbVy0pBAqNLY3b9YMRQzH/R++m8Kwr11V3fvCXn+A5GJGvb8ueMdGRUoPlRkQtjFcdf03k1h4/CmBXMcN9LeGLWjNUIVaa1UZpdx2v40iBZwkabe1OuSmYGIbjlQbbC1mOVxv85NByz3meOZHhzIksB5fqnDbqM5a1Wa7HZBwLKelxxGxEK+meE3FOzrGoDVLcdCEF/NzZk7gDRNej73nbQHFwO4mksnrlxeSuuXHN45p01+Y6Js67nQI3mCsHPfd615jPXDnoEMyuhRQw6tss1qOB2xinxSrW5z/K1v/7v7FjyLdv8L3rKF92HuW9k2z9zPfwbEmkFOdvzw/aJZ/95Mf47Cc/xteuu5NFOXg7YF3PcHvbkHFk6xlMnMctKUx68ESEFagel8HVCmKCLTq3taXg/uOdAvIT6R53j2bZUezzRdtD2h30kQh8EuHiUjVoCiHNdahHilhB5a8/sL7C3HITY1mbeqg4MF9jPGczmvU2EMDc/XbRyWw54M7ZXrfWfjz5rClyrsW1BxeH2h5gJOPwuNPGiWK9qc7OCUnAnpSip38aRByvOHq6VjJeW/mdN+DdpRooDi5UsaUkVJpQaSYyDrNN99LR5z2JyYq5lt33ZPa33mj++O6PTTDCANZyRfZsuWa7LpoNn2sJpGgG8MSmVJHSuMAzn/ZUvvudPsE0WvO8pz2246P3vfsdAOSLo3zhJ3cxnc+0jhPGCksKPnnjUSpBzM5Rk4WhFiiWGwHjWbflbK7Q3LSKc3kQa5YbEZM5l6LnthzULSEGBlqPZ10Waub6e5ZgsRb2BHa5tmQ8K6lEJrhD0DmXknEsLt81imdJji01elyOE3Lv+Z947/1fzL/rT+GTH1/5IpuFL3yD+wMJMyXOHM/iO3bzcmpmm8LGyZyL0jEFz8azBedMZcm5No0oZjqfZSxjk7ctxrIOu0Z8Di3XiZReR3jCCgI4/8VPZuya63Ck4HCpYYINY81iPSbjCMazjhHUKs25U1kKns2NR8tUQhPAkfR/G2lTK6Hi9Okc9dkaM805ox2jPnc3xcL1SFNqKFabJlhudPaN0wWPrcVMz3ZJEEu7CLXfMxLGuqf9NuL53kC+etjmVNuGN8C9O+MIamHvs7vae3vGEQP7vzA2z5bSmi0Fj2MlM58kBJwxnkMIQawhjjSBitm3UGXPaBYmp+D4bN999kM+8nKyjkRpWHj84/nkj37Ei7N5MoMs3IGGUtwZhXyx+c4VqJiZSsBZzfk/u2lWYYTMom9Aq8KME9uvjy1h53i29az7Luwcy3B4sdYzJg1iTcGRTOQ9hBCtwPsoVgSRoh7GBG11oBYqas0IlViZsUeCa5n3PL+tbc04kkbz+lvCZFPLuRZhbLfeISWCUCmWmmO4sYzNM86a4IyJHJ7TafOROARvVBDcj8vuuJnl63/Knc9/IUSdz4q9Zw8XfP97J5ABKCUlJSUlJSUlJeWhTyoQTklJSUlJOUXIZDImZ+RmWMicIP2Wy9rnHj/2pveR3bKFamScTr77+nfwXeC/vPu1cGD/0McRACpm91iGhWpApREx5rvoouZoqUH3tPuOosexUsCRUoASYqgF8PayH33nB5h+2uXrctKr/PUHyL2+12XqoUTlC5+Dt/1h7xcL88axSYiWW/Jq6evtVSbE21mP9qsRKQ4v1pguevjO2g7Fa7FZvpeeLfnaXfM85Yyx1oT48UrIrlFvVfev86cyTGQdbp2pUFcapEW+YHHRTrh3tsLdsxVipXn0aeOcPZ3lzpkq5XrUEgjHscKfKHLmtGC+6Rxk2xZnnznFrTMVLM9maal3EVk4Fs+6YjdTUwWCesht9x7nxvvnhz7fYJPFsv1YuTeafXP9Xe/Wuv3tbdOJ3Ocf7VtYe6N1sns0i28Nv9rQL71yysbwbdFKzflwIWgKCx9uwud+6W03k1WyR5+abLC86+kpj332m+x+1pVr/i4pyjtf2jteiId0ffYdQRTrId2FHxo3a5hU7athroXZR+IOuslGnkNTeeSV5K790VDBgMuZAtrPEGtFOYgGBkwNE0g1zK3WwH0LldY4sB7G2ANcpofNFnFoucFZkxmKWZtGdUWom3OtviKZJGV8Owu1iDE/4jO3zHQIMaxKmef+9D+IFpc4+Nxf4tKLz2RrwSPSUAkjYoyCSAiNbotcqIQR//Sjw+wdy/ConSNkHcldc1XuGTAuShj1bc6azLKj6DOd9wji/te9+O2vDHFl2og6BcyDqrtrrYh8LEvgCCMAASNSc2xBpaGYq4RUg5iJvHETDWKF71podF+RUD8kgm2FDFvyxtGuFilKjbDlSJrg/NP/ZPv/+wQwuD7n7z/OsSdeyPbv3cj52wtDHBueftnZfOuWAxwPB4/ppIR+arlE+D0oEKYRqV4xfde2viPW5TDe79z71e8TybKgNGv23bY1qH/vFalBks5cw999aN3lKf3ZO9n139+J1v3dKbvfE5TWfOfuGZ54xhSWNA6a980ad05Hgu9YFLNOWyp2KDf6C9Qnci5nTOQYzTiESmEJgb8BtZHWmv3Hjd/vMK7VG9n/WiSp6xOiNqG5LcW6AroS4V7CeNZjthqy8/lXYQWNtcctV10BQwRmS2He0xORfRBrk4kq7zJfDig3BvdJWhuXbfMcdJ7bfCXgKU+4khuuv27NMnRTXl7kSWdP8cM7DmP5WX5yaJm7j1fJuhaZb3yRs2+8Gv9JT4UzXg6YduCWo8uMZBykENx4tEw5iDlrolfkOeLbKG3mIU4bd5rXQK46jlBaUwkiqNfZ8Tu/hnPsMLGQhE97FqU3/T6VIGY84zBTDsnYshXw1e0yfsmOEUYyZo5iz5TFXCnoyPzTjkST+4M/hj/4YxCag0s1fNviWHklIPju+SoXTBcA0RHQt1wP0Zh+RiDYkjfHzDfFihlbsqXg4zuSQ0s1so4JWPKntuLMHh16TJxsJ4M6y49/FNlrrmUq66FiRc6V3LcQkXUcyo2IMNZM5FwesSXHXDXkEVtyXLBFUAtjdo241MbGyC6sbz4hqZlCCM6byrYEwj33UsCuUZ9DS/Wh2oVjpQaHFqvsGM12fJ7zbDKuRS2ImVlurDpySorgWsL03ZEeOFFRC42ANYx1q3z97oGg0027/XPVdKeWYmVsIAUcrwbYDSi4zqrzglIIJnyHmZI5r71jGby2eRilNYeX6wSx5q65Cqf9xzfRj7pw4P66yfztR1sC3r/5589w7rY8EfCKXB6BwG0rW6w1Da25MWzwu4tzxIDtutzfdIDO2lbTkdpcU8cSbCl60BwvrcVYrjfjmmNLRjIOjShuiakTIbEUvUH3tiWxLUnWs1p9Xze+I6kExiW6HmqqoSLnSeqh+UwgWv2475jPlxsB+xZrTOe9Vn9oCYFjSZS2KHo2nmNx+kQOrxkcIMWKMPhkZZAsXnoJlx+4F6Dl6q7hQX0HS0lJSUlJSUlJSTlVSAXCKSkpKSkppxCXH7qfn2zb/aCWIVlQ654O1sC+My/ifc/5XfPBrTNcsWcUz7PZM5njYLlBgMDdwDGNW4HF8SrcPV/htLEsYxmPehgBupUauNpczDhSCvjMH/8tv/iOXxvKvUMAkedz23V3snW9hfu7D8FDWCBc+dv/Ax96/+obtbklr7aWOMwErtbrTx+sNBxdauBYgtGsQ86zNywU7ifu2AhBrGk0Fz18WxJr2L/Y4I7jVc6ezDadllcY820z2SwE0zmbkd0jXHNgiVhDqMHJ+YjZChfuKCKA++eqhItlLpYN7r5vhiOLeeJI4WddLtwzyuH5GttHM1x97zzV5Rq3HloEKYgLLtMFj4v2jrfO17Iku6YK7Nk60ipPbiKP51j8+K7hnFKe99+/wpt//kJ+63mPOGGR9upolqrhwG+706MO3otho0LhzRKSJzhSrJp+NeXkkSxQPRyJFNgPM4cbS55cZfxDQ3K6wrBCx24UIHSyoN7Z9vQTBSnXxQqCNQPA7hjZzuzW83t/37VLd4BwM3EWix60YLdTvx2O9erBWCeT4//9A1i/+Sv4d9/Rd/yclCrO5Vn49Ne5xLe5Y7Z8ws+VFMYhUKOZq/QfAzgSpJT4rXTmmvJAkeTw9zlWmuV6RMGzKDViXEsMFDUPGhvcMVdpCeV+/qPvZvTqb3eUYOqLnwLg3ultzPzzvzHi28w1xzpSwOnjWTzLTL8eKTVQGu6dr3Hv/Oqi4HaecsY42wv+qtvkP/zBdQVBJlTe/CZy72u6uA74sW5LQd7tKhp3XbVaqDi6VMexjWOe1kasYkndVyzUQ9N1VgrTAeYcSc6xGcs43D1nhC26tLymODj5LleK+NClpw1xYNO2usCLHrGHD//0IIP0tFGscaQR3dRDhUwcliPNYN/j5rvUGg9U4k5Z/8THid//XiPidlysN/8+/gtf0rN9v37VsXrFwCe7dVRdHYUQRjw+SFjcLUZcD0sf+Qi7/vu7Br6b9hxRQyUwDooZtzPgNVQQNuKedPWNqLedyLmSx+wdB4wLpIe1cqx1tutL9YglPyTvWig9fFaR5uvmCoMOKwSi+eViPejcvFnHxnCaZ9JLLVK4VrdIePhzdCyJ98XPDicOblJ55PmtoOUemjtRulNsvnsi06xLgvG8Sz2sYzWF+kIYd+NM0wl0tXNYWCptSBzczqPP2c6nfnoYceN1vPjtbyS5qwLghh9Qef87QQj8j32KaHwnx6sBNx6pMF+L2Dni9XVmtaVo9SeZAc7xrTPTmloUc+Se+5l++fPZ0yYTtADrc/+K/7l/ZWrHDjKf/yrbiz57JnKtd/9IKb5827HW/jrrhmCi4DKSdTjQp+8SwrQ7Znwj2Dua5Ui5M6g551jY0ghQnTb/37xnM18Nmci4VMKYrGs1RYkSpTWlICZSiluOVfjiHXM88fRRRj2LxX/5d6aeesW63XwFQLlMcPQYmektHKsE7Cz6TOdcwlgzmfMIYsW+xSr1UDGZc5rzkZqdIx6NSLH8r18h+7RHDX1sDRz44//Rcb2yjmRrwWs5PdtScPZklqecOUnRdzh/q+LwUo39C9WWG+sg7puvsn0k0zOPI4Qg69nsHJc0wphyI6IRKmK9IpSUQpBxLbLCZPgahkakybiSWqCwJMS6t3PXmDpVjxS2ENiWxJLmPBuRbhlj+I4gUnD38TKVZjaF6ZxiMuutOi8lhOSMiRyNKGbEdWh/dEIVd4z1PCmxrrvNmCP0KWfrKLZD4ccmq0LSZigNhZFRPrS0yL/Vyrw4m+dZfo6cFARa8+NGg49WS9warrSz//GTuxkvZjiwVGOpEZFrimMtAdtGTZs1VZDMlhp9RcJBpFtzHLOlgLxv013TRnMupVpIrCLyvkXeX2sOVTNfDvp+4zsr4l/axnuVhjKB2N1ZUiKFa8FCXVHwbI6WGmwvemRsiRQC37XINmJ2j2fJNV2MBTSzqpw8YXA/pAD5MJtPSUlJSUlJSUlJSTkRUoFwSkpKSkrKKcblR/bzkz1nQtB/8u6BYsHO8om3/xMBFnfPmjRpF+0ocokUxEpzdKmO51korbl/psRTzp9GT21BH9i37gXI79y3QNGVVJqTkrfOljlvOo8lBccrIb4jyTkWsdatdLPlrbs4sudctu27fdWJ+WQq83N/+Vme+1u/sOF0gA9Z1hIHt1F55PmIa28dsDgFw1y56gC3pWEYzTrk/bXTUJ9sbCn4/r4lAL5yV68L783HelO1P/n0UbQ2jtpCCHwbnnDaKNcdKrHciMk5ku2jGa7bv8Rbvvy/2HPHtT370MB1r3gTy895EadvcyiVG5wzleP6Ww6hY4XvOywulDkwU2FSliiMjaCKYxwqhfzalbubKfuMGOb79x7nyWeMsVhq8Ma/+s81zzmKNX/+mRt59VPPZjTnrfOKDYdG0wgV8wPEQbCxxYLNFvsOy3jGYTxr3G1sIYcWN6dsHr798BUHw0oq8ge6hp/Mo52oG+spxSacy0Z3cXsz7bkUMOI7WFKwVAtbTortboS7n3Vlq/ce5PAF5nfnLB3mmd/9F75y1cs6tom7xGdSiA2LmxMeKjXh5JRz83uuYe/Hsf/9Ebjnbnb91quQXal3NTD7h++i9sSnd3x24mUTHK+Y95pEqNtOIr4Jg3goN7X1tCPHyiE7ii6lRoxnSUKlBgq0pRBY0vw/71rMVUNcCcv1mGecNc6WZz8OKzLn0U9c7cwcYfszHsXcN3/S+lxpmK+FTOcklpAUPclp4xnuW4c4OGNLtgwxNhv/138eep8dXPODtbdZZYhjyV7Re6Q0UaA7tnEtCdaKuG+ACW9ftNbESrfatpG3vHytYnVw10J/x7x+BMCkZbHTUdwfSDxL0OgTEBEqWi7KsTLj77UQQzz7pTf/V6KvfbnzwygiftefUHnXnyCe/Ryy//29QJJloPcqGsFk53EakQngWA/Je3O8RtBHIhRrx7eNCqi9HrQTxXpdDrXdKKWQa2S3Sa6ClPDc87eCSK7K2jWnn9CqHqrWRdmMtnH/Yo3JnMuW3Ori/3Y0w40d6qHiwHJ1oOMrwKjvDHz3EtA3EGhYGnHMlg++Z30/0t1jDeMWDMk7Yuf3k3kHq60OLFdD0/a0PYtSrLQ5q9X/xz9ic4L0P/28x/LbTZFj30urNeLlLyL3yl/nwAtfhW1Jdo16HFhsMJ1zGM/YxBqKvo0jRSuDw2imVyBodmdmuzSC49UGszfexJ43/Mrg4wMcOkTtigvZcesdrXo+XFsqsC3YOeZzdKneyhbhO5JI6576Mp312Zr3qYYROddG62bwo4TDZdMHGvFhjC0Fy4Fx7v3i7XMUm2OFJ50+xlkTGe6er3Lz0TIXbMkhtMa1LZYrDe5//svZ+/mPb2iOb/Y5z0J882pGPAffNfMoSikiBVnH4tzJAnccL6+cvTBZE2qhYjzrUM7kydfKQ2VlUACPu6rtSsKjdhYphzGjGYfnbS1wzlSuw43csSR7xnPsGc+xXAs5sFhloRYylnEYz7os1UPuPl5h12iGC7YVm2PzzuMmbWDiIJvzHbTWRLHGskTH/IXSmkojHvjca61b+xRtUflK9b8AWms+fesMc9WQx+4pcvp4Fh+7p68UmICMRBwMMFMJiLVmOuf3nWPJNMWznmXhWRahMmMKz5U0QtVzDskYOXfdbTT23U/0oueCantOHQe+eTW5XM4YBHQFIP/otoOcvz3P4Tjm/aUl3l9a6nuNAJ73opexbXwEKSSnj+c6gsini14rOEZKwXTRY7EatITZGUcQxmY8kbjdjmRW5ke7e/acZ1Noaxu6g8TaA0PDWLFU6+0Pso5suSWDyUCQccx4WSCwpAk2aT+u0iaoL+NYLNUjpnIOxysBF28bYTzn4tgd4RFYwjz36XRZSkpKSkpKSkpKyoNPKhBOSUlJSUk5Bbl8390A/GT7ns2xQ90AOR1z6OAi46NZxrMO20d9bjy03Pp+quAwUvA5Wg65ckeBc6fy1P/8vVSfftUqe+1EA7XxaQ4tN5BFD9CtRYp9CzUcy/xdD1VrgnY65/D4vSP85/1LfOX338/z/+nPGP/Rdwa64inL4u/e8xluvuM4Lwgb/CxReeaT1/cDrTvdI9rwhkmdqjXzlY0L20+l+eLqOkWHPzlUYteIT96zyDUXHwXwhL0j+JZke9FnttrAe/xlqwq1HvmxDyC+9gkyX/oWNx9bxgbu2jLKsy7cyrGGYtLS5Pw5vvXvP+bYsTmkJXEdG97wGGg68VSDiOWmULsxTOrvNn7/H6/hz1/9qL4i4YVyg/H8yufDtkxaGyfmSiNiboBrScJ660D3c/9AtZZ7xjJkbTsVBT+IeLbsm0L74YLfJ1DjAeMkVmsxjH3iCR3g5O26G70JIs8THeIpTct5rJ0kTXoiDh7msiRn89zrv8hZR+7kf7/0ba3v4oeTsHudPJxOfe9YhgOLNeIzzuTAF77f+rzo2eRcmyOlOlLAWRM5k7o9Umu61q0Xz5a4tkQ0VSZSCOb6jB17nStXWE+mgzuPV3ny6eOAptSIWKqHA8d4GiNaBCNGHc3YLNYido76FJ73ZKwoGPgstX8+8ZTLqXz5Rx3fHymZVOGlRsTeEY9DS/WhxJGOFDzhtLFet9Xugtx9x4bcg82+2kRzA4q0WjCOJQbfq4RYgZKm1cw0XSEToaOAjt/3DWQQgqzjcM6kTSWM0PuHy5CR7O87jeEF2QD3RSHffdwl/Nyt9xvX6TDmeKXBYi3Et60Nt/xrVd3KS38e7rpz1W30l75IZd/9TH7iMwPHCWJAAbXW1PvYIifPmy37O/661uD+rpmRHs+WiObfsTZp4x3r5DWghxZq7JrIMnQPtwnjg1hDuRHhLs5x7/N/nmhuDgB7YoLTP/85doz4KNUUozVPvf0K9BRBwGTWpeDbPe+HQtBbYZrvU8Pi25LltTfrixHJJc6RyWdri8yVhkakqAYx/SWtq1N5wXOY/MKXmk7aeqC4dyRj9wQWj+ZcKkFEm86wIwNCI1I4VtMXV5i2K9l/sAnB+Tbw8noDLHvN85786N9w35VPYEZOm99K8wzlPbvDNTghjDWRVkSRpug7SGFE/6FSHFyusWc0S6TU2uLgBKU48rhHM/7T61sB9f1cwHsROLbFjrEMx8sNlFq5R/1aCceSjFoujVC1vrt5ptQSiWZd4x4McLTUQAo4cyLD3XM1nnbGGKC5Y7bMvqWATDNwp+hZVIKImXLI4kt+nRkry6M++3drnXEPslblcDlgoRawrZgha1stF9pIaXxbcO5UnihWTOU8bpspEzTfPeerIe7nv4n37MfiRNGqWRkUsPTta8krTTmIKXiWyVYVKQquxWP2jjOxRhBQMeNwQWak47NtIxl2j2bJuBaiSxy8GkIIHLv35kohmCx4HFlccX5OArIacczhUp1aqMi7FkXf5lApZs9IlkiZfbpypS+PYsUts2UOLTfYWnDR2szvnjmRwxIrc2XJ+64lJBdtLXLj0ZUWa64aUmpEnDmeb437PNv0Uf36PgXUAkXGEWSUxXjWYb4a4tsSW1pYAooZm/yl52Hvuw+tNXPlBqV673xZ1GdMc+vhMpefOU21Ojjg6HW//Qf8/lvfRiNSjOccomZGsloYM130cNtSAwVhzEI1QOsVV91aW3tbaQbdjGYdktrVXSpLig4huKZzfqz9c9uSZF1JtS2Yx7b6z3uuXF/NZN5lsiA5utRoBSS5lhENj3h2a+6zEWpuOlbmKWdO0P40ONIEiaWkpKSkpKSkpKSknBqkAuGUlJSUlJRTmMsP7+Mn2zbHzWS9LE1t5fwzJvnu9Ye46pG7OL7cKa6dLYV88dpD/OKVuylHijDS5LZOU8tk0bXq0ItBX37NH7E0V+OeuRpXnTbaSjboWKKvKCGINY4UPOOsca45sEztnf+DfUqT/6f/w/j/+wfjEgQwNU3pU19mptzg8Pf3NydGHyyv0QeJ2aPr/snxx19J7ls/7PncaTlRDbqzmlhrHup6vZxr8cXb59b9u1Ij5tYZ4yy8reByzmSGEd+mFsb4jkWkFZnHX7bqFWzVzpljLL3sF9j1T5/g3Klt7JrOUmnELMUhk2M+wrYQuy+AY99FxYqxsU7XqWrbqujccmdqz7X4/I/3c8/RZf7ld5/KZNHstxHGvO3jP+EHt8/wrXc9B9taWdRpp/vJCiNFI4wRAmZLwXBP3gYX79sXQk72E+7ZEt/aBMfgn7HmaLOwhFkM6+eYdzLJuHKV+2UW/5K0ukBr4X6jx+p24ntAOUn1sp87/WajdR+HuK4Igs0rw4lfqJPVBAgB4ttfW7dgMGmWzjl6Fx98/yv5u6e9lhsuuGpgiviBOxlms7T9e8ApNyIesaVo/iEEUaywLdkSQkzlXMCIOV0JrlxfkNEwHO/KIjCWcXDt3rah4NvMDcg40K2VXY2LtxUQGsayLoqmcG2QqLLt70hpFptOa1KAXRpOZtfax9Xfgcc8sfVZxzuNgDMmsjhSUA5iqmHMcj2i6Ns0IoXWMJFzmM67+JYZV/bQ9fzsfPNrhypfX57xrKE2cyT0u3TDPspKJ46kJnW2UhqlNY4lyUhBGKs13yOkEOQci6oevm2LtKayTqW/KwQZLQjiGN+2kQi25ny25TNDO7j2Y7Uy1z/8N2uKg1vcegtLH/tn3Je8vO/Xg4rX7/I6bcObSOmh+mpLQhAr7pmvcM5koUNw1I4tJWE8WJC/UdxLLx1KHNwunFovfZ3KF+a5/5zHNC0zV4iOHOHOK67EsSyyX/8eYmRsXceayA+fvaURxUM7L/cTuXWyuvdp9yUIY1r3s9t10myvKYchcdPFd0OLTgf39Rf/tZUl68qOoNUEIQTjOZdjy/3FvkqDarsmvrO5UWVP87OMCLlm25TUyUf+5q8w99FvknUkjpSUGjG+HTHi2xQ9G0sKglhRCWIqQczdcxVOH8+23FF9W5JxTNDNLcdKjL/7j1r7HwY1N0epHhqRodZ8++7jHd/372vNsaWUTOY9DrS54WdcSazM77Q2TqTdwSWxUvi2RDYDhMYzDuMZh3qsqDSM0PbuuUUA7pmvkXEt9i3UWmJJ1xLsKHos1mJumTFCzeXnvmxDAmGAehSzNZ/BFrLVv333/nlmKwG/+IiteJYZSTcihWfLjvfPINYc/sL3sb77TXb82R/2vVILj3oCpXe8F+oRWwsuQph5IwGM+jax1tx4eInHnjaBZ68ekB/FCiFER8BQ1ut8yjbW3q20lFKY+bBKEGNJzVwt4Fgp6HgPKAcx5WYQejUocfZEgajpeJtco6/cM9fKlHC0FHDuVJatBY/k6bClaApiV65nrGDniM/BpZX5qyDW3LtQYe9oFs8x49W1mrVGpLGEZGvOZyrr0ogVUwWXrNcZ3C2EYCLvoVSDSltQ/Wrv4T+5e4aMI3n+05/AzTdch9Yay7L423/+LI9/8lPJeRZjOacpaO7/JApgqRa2Auc9W5r2rc95TeSdDqV+9/3VXf+nz3ftR94y4qOUZna5QTVUOJYk6tNHO5ZgLOuQcW1ks75NFz2OLtWpRzEHlwPGMw62tPBsi8PLNWwLtub9Dldy10pdg1NSUlJSUlJSUlJONVKBcEpKSkpKyinO5Uf2Pygi4W//4V+RtSSPumg7B376U2S2AP5UxzZXnjnBsUqAKmuOlRr83DlT+P/wzwQve+FQqfaWdp+BdcEF0FyAX65HjGVsJrKD010mhLHi0buLrUn68qteR/lVrwNgz2iGgmdTKtXxbckf/dy5REoRfusyrBuv3eAV+RlhaQm/6QCVUGs6ON83W2Us6xgXi54bZBYrihmb5T6p64ZBrkfxMYCRjNOzmqmDAO8jf4f3b59CVCogBGp6mvqvvoHoaZ2iiFhrnnPuROvfs9WQw0uNlcl3PaCsWpv9as1CNWT/UsBYELMt7yJQLHz3+2RYe8EumfR37rqTb9xxnCecPcnu0Qy3Hi0znZEcPlZCo/mFp57D4S0x3/rWtVTrIX/344MoLXAtwblT2db+9h1bv2/ULQcW+e2/u5q//o3HU8g4vOUffsinfnA/AP/6n/fyS08805xyn7KrZsrKSiNiqRaitFnIG2ahypZGSHAinIgQYC1cS+DZFntHs6xHKzeIh+taybBp7jeCY4HWazsVngzqgRryzE6sbL7zIIuDTxKe3d+dfrNZzeUSaGUm2Aw2y1l2NafUjTKacci854829Nt2PfWvff1v+YCb5d5zrhj692sLkh5a9BWJPUQ5Xg3JODZFzyHpMdvv1wAd3wmz2hVMHLC7++65SshkzqEeKSzRGTR49mSGnGtx89HyqhkfRnybM8YzeI4kiBSeZdwZl+sR0Rr3NeNIBALXFmRe8YJWGYdl95/+Hvu7XITbGc/YXLSliCWNUNuSZhw9W61zZLnR4ZLs9Bkf21IwkXVWXHg34H6ZjJlyf/SOoba3LZNyupthr0v7JW9vq5VS+I7EsSQIhRCrB5RIsb6x4kZHlqOWpBxEHC03WK6viMUdKXjKWdPMVwKCSBOs48FZ7f02/qu/XFf5wve8c6BAeNBNkf1GyUJ0pGOvhcZltf2z7qclVmA1hZD1KGZb0ceWAtuSVBoh9VATxWrVft+3JZ4N4VVPJPjudwafaB/O/vy/Db1t+5zECbXm87PseflzV5/jiGOqT34szpe/hTu9dfgCroP1iK3WGpPXItVyf+xmLaG45xjxd/smQgi0hkoYUwtjhrwC66LgWUwUesXBcWzG6fMDAkseCH4lVyAz5LusACQa1xIobdzun3TaKGACSkZ8i4VahGcLxrI2lUbMeMbBs1aW8pJMKlqb8W3hO19bd5nvfeGLmPnLvyXvWa0AgvGsw3TeYyTjklRQpTTVIGahEhA1RcC+IzveibWmNTfn2/2vQ6R1S4y5ZyyDZ9m4Ntx9eJktr38Fzv79vAK476LH8INfeyunjWeoh4pLtufRGm6bqXDtoVLHPveO+X2ziQ3Dd+9b4v7RBqO+xSN3jODbkplKwGw5YKbSIGNLYg1fvOM4j9qRb51bxrFIAkSXnvBk3vRbH2U85/Daq04jxohs62HcIWatBIpaM5BbA4v1CAmMZR2OLNXZO5HrKFulESEw855hrCjVY/KexVSxMzi8ne72bq25kUYUs3++ymI9JIwV89WQrG0164PuCeqClXGxaGYPsCyIYuOwHkeK+xaqHF7qNJcQaGYrAbOVgMmsy5jvmjkvS2A3xzhKa7yoVyRdjxQL9ZAp6a3aormWcRdO6qQQgrxjY0e6JUjvRgjBVNGDUt3USy0G1iHXWhE1f+I/evssgWYs566Z5aJcDzuyajUiRc6VLRF8O8VMp0t6Z5s++DiD77lASsGW0Qy1RtjTXtpSMJF3W67UHd9ZEkcKFqKY+WqA0pqdxUyzkgnOniowkfcQQqTi4JSUlJSUlJSUlJRTmFQgnJKSkpKS8hDg8iP7Wfj2d7nnl375ATvm7OwSkxN5ykeO8oMf3cazX/oc2nNU7p3IcNp0nrvmjDNEPYr4yPVHKHhFznrr+7joz97cd6I++Wxu+2n8+x/8dUscDEacWfTtnpSKg2h38LClQApBrBT7FmuM+jaL9YgLthRAN0vwj/9M+bLz1hQvd+A4a2/zMKPeZd/lOytOOAvVEASMZnvdzJRSGxYHw4mLQ4GWKDUh9/X/YPJ97wCtO+65PHyI7Dvfin7vOzn8gX8i2rWn7/7GMzY/2r9+ke3BpTph7LJvocGuUZ+Lfuc3hq53LVehD72D77/pHeway5J1JUePVVharPLTu47z9Cv3UF4qUarU2TY1wqHDS2TyPnsnMoRtF+DW/YvrLjvA1288zDmv/yS/8azz+MKPD7Q+/x+fu5FfeMxeMm7va4TSmmNL9Z7F5GGEbzlXMj3isxmy2WHW2dezFr+14DHqOwjMYodInX9X5WStAzmymaL8YSTW6+aBcNh9sJDpgzMQ15IEcX+nVkcKcq4RbWht0hEP06aW6hHDJl4fRHLH3vgf7+dNZ330BPbUn4dKbdisJ1KIzROVnwgHlmpcuNXpNsA8qQxTD4u+3ZM5pF2YkvcsfFtSDmIEgpwjedTOAhooB4qDSw3ipvBo96jPZNbBkbBQM+nDL95WBC0ouA53Lywi0WzJezi2QClaApWEpXrM9/ctAfCqg/s3dL6ebUSWVte+LQGXbx9pCYeSzAwazdFS0CPKqMcKv2vY5Viy430pLy2I1zcGFwDZbO9nfZCr1N8g1ifkfK8xgpukm6jGyrj2bxJSCHZYFgcHtLP9iDTssCwOd2XQURq0EFiWbIm0lFJUg5j5SrCmyH7Q9a0vLg5dto7f1ev4fh+x2MB71VtASwiUMK6MiVgrEUK3Owu3I4AYRRhrto/6FP2V98JSPRwqy8NI1sWxJVMf+yg37xo+GFqMjg69bYLWmpnlxqrW9ZY0oudBgu89L3+uOf4Qxwuf9WTc624brmxDbbWxH3iWBQxuF0qNkJwzeGnIlgx09R7NuWRdm0OLndlqcq5NLVLojfaeZ5zd92PfkWwpelhWf2dOIWD/XK3js0YcESojDqyFmlIjRmLquRAmsFbr3vZ/IxSFZK+9/nkj72tf5K4rnsZ50zkQpq3Nu1YrC0kj0jQicw9LQcz2osASwkxvaagGEctBRKHpJLvuM7nlJjRG/DuVdxn1HcYyLkEUc99spX+ZbTPvNsg5HPqL082ckmZH0Qg9R12bRr3KwiMvZ09bB2MBZ1/3Hc5+/XdoeBl2fe7b5BxJPVI846xx9i3UObBYRwvBlbuKbC94iF274MCBnmMOLp/574xxH4SgGir+4drDjPkWWwsuO4p5ZsoNthZcFqshj95ZIOta+EozmXXIuw5Km0xLf/GlOwAjTv/zL93JHz/3HJTudbqtR3HP86S05lAp4MBSg61FH98xAlmtNeV6RDXo7Le6HYNhsKts979bwmGtqYUxC7WA246WqHUVqhrFVKMY35bYlrnPy40IgSDWmv2LdcYyDntGPSwBd86WkRr2TuRRaL54R6cTNcBMJeLsD/4JmdtuZD4/jvfXf4UzMUmkBXZb0I9vW+wdy3Boud4RpHKs3GBrwSPq043b0rxLNWLVMQ/Y/l49XwkJY03Ws00wUvv1azoJ37d/numcz8HXvAbvmu+vbPCSl5P7gz9uXYtBhAqqjYic378d0FqzVA1ZqIa4tqDciNBosrZNNVD4jqAerpzAdMGleyZ932wVIc2nUwWPjGuhN/i257s2um2cPZFzKGScVQXO4wWXWCsqQUS5EXNgqcq2gs+2gtcSB5vxQyoOTklJSUlJSUlJSTlVSQXCKSkpKSkpDxHGnnQVlx9ZWaAuXfNj5r/2dSZ+9b+Q32r8WX6y5wwITsw1RQNzXgFbRczNLLNvIeKyKx5BaNlsyWhK82XmSw12njPVEge3fqs1lVKdv61Mc8Wff4anfe6v2f7Db3S4r1WK4/zkDW/n/l3n9By71IhZrIV93R3W4rSxLK5lsVBvsFALyboWoxkXrTonJ4XnQ6M+eEdd7Lj+ehr64Sva6qHPtU9cvqymQM/rcYTRLFZDoiEWgwfhWKK54HditO8h940vMfneP+07Zd76rFZjx+t+iYN//2niLdt6trM2OLO9Y8RHYhYrDs9XuVivb+peACPXfI+tOZub75vlOb/5fC5Frezjn+CqPWex7dX/jUNLAUdmSsweLTOV24ZnCeqhuaY337+wofKDEYL89Zc6F7ePLNT4x2/cyW88+/ye7ethvKHnZCLnUMw6bKa0tGMpRWvqYYxlSWwpiIew/7WlYHvRx5ECz+p1UNkMTgGd2EnhZJ2XZUnCh3k7XAuNi+JaLrgPRTbDdftUY7NOaTVX49Gsw45CBgEcXKri2RbHK+t3Ct0oScme6swQK4XVDOSpR+qEBIEPJU5U1JtxpBGKKN3KPrAJWqQT4qajy1y8tThQ+LXCJhW06xpKAbtHsxwrrwQVreXuXW7ElBsxniVbO0xcyoqexfnTRuiqte7bZ99ydJm8Z1P03Vba63vmO98Hnnj6KJ4ljUtcWzu80avQiDQTObcnsCXWoNBkXIsgVK202Y0B4n9niAC647/+JqY/9D/XXcbC96/tcoDULfGX0hqtwZKCeqh6Agjb2Qzxu9adf0/kHJZqIVnXbjn4ghGnHStY5Erx0PfmZZk8f1VepjZEy20Bz85kycj+6d67DVellOR9Sd63qQUxR7ucEzsYFCzzkX9Ys1x9+cwn4eW/MvTmjiU7xLvdgUlhrAljjWNBGLf/rvNKSwmVhnFszXUFDU7kPcr16rr6yL0/vob7r3jU2htaFhfcdOM69mzQ0JFCvh/bRv0O4VgtjloifPcnVwPrawuCa3+M+8jh3fdPBmsF1a32bS1UyD5u3hlHopTiyEK9rwAsjjVfumOOchDzquZn67luuX/5TN/PpTTC/EG0Z/dRWhMqxWwlYKkekXMtvnb3fEt0203WkQgh0XrjY5q8FIRa46zznXHHj77Ngcc8g50jHkVPYglBqDSjrnH7t8RKgKprSRqRJuMIaoFCa82+pRqNSBEpTWGdZdYAWjWvi2bvqBH4VRqrPytS9M8KErVFHjUije8k4bWm368Eiqxrcds1P+LdL/1FRuKYJ+VyXOVl+jova8Br1Djt2Ve2HPkrQcxkzmHvuE81iAljhWNJrH/9dxqPvmRd53/ja/+AWMH9izXOGM/w9DNGiaHV7xU9i6OlgBHfzAUYh2xNzrGxpaAeaX58eJknX7CVL99wmKBZv/bN15qBzyu4liDv2cy3BfYordm/FLTGJLPVkP9y+S7jYlyq9x1jB5Ei5/U3YFgLDYSR4uhSnUhpYlSPOLidWhhzuBRy5/Fqz3elRsz+xTo7sxbfvm0Wx5ZctGOEmVKd07YWWA415SAmN3OIF/3pryLb2qLpY0eIn/kkIqDy0ley9fffSiOO2DqSQWqNUxdkbZtGHFOLYo4sm2xet82UOG+6QBQbUbAQxmCgHiqqXVFvWUd2ZJhQSjNfCVmshviORAMF38GzJbYlsaTEfeqjKQcBPTYIn/w4lU9+nMr27eS+8I1Vr/FyPSLj2R3z2YnYe6EStETjjVBx73yFWMP5UwWEEB2BexLIdUWGhZEyYRfKfH9kqcFYzsGzJJUgagl0Yfg6YQlBhGaq4A4UNrfjWBaB0izWQhxLMp5xyLsWk0W/NSZPxcEpKSkpKSkpKSkppzapQDglJSUlJeUhSuFRV1B4VOei03k/vprbLr58w/tMJhL//S1/ydRkgbvvOsodx2pcuqOIjGPuuXeOQ3NVXvHM86j1Werx4pir7zOCxNmlBr89/Wze+fl3sKXgcXixzsxynduPlrnjaAnr3uM85qxJltvWH+5fqDOecRjxexdkpYDtRZ+FWkjes5tpy0w6Xk+uCPhGPJdRb3Bqt9zV11O57Lyhrkf2GU9nbKRIGCu00pTqUccC9alGwbcYzbqUaiGLtYjVEwr2R7z7fYCZVG8X7Hq2RSEzaOgoGM06HJyvDfh+bYq+vSFheG9RmhZnSjH5vnesuSApAB3HbHnrmzj84X/t+X6jbqVaa2bKjQ0ryBK34bNe8ATaa2v7+Yztu4vXvefV8LwX4L3mXZQDUzdzrsWOgk8Uq46Fus3iA1+4hZdfdSYjuc7lE8eSSLE+IeD2UR/P6S/AOBHaixBrzZGmWCNxwDtnMs+BpRrVsP8C6Khvk3fs/u3Iw1DouLlsvlOsa4mHpWi2H6eCw+jJ4IESRAYqZt+CWcjWNK9n86J2u2vp7g/bvhumuBdtLZ5IUVusJv47Xg6whGDUd7AsafoVjHDBs6RxaNMm1Tc0uz+tuXr/Ms/ZlNIZnv/et8DLnt354cO0rp4ormVSLvu2SRveLqIxn2niB/FBzzkWZ0zkhhAHnzw8W5KxJXtHs9wzXyWIFccrIRM5h7k10sM3YkWGwc/MoPF/pE067+oqJ37N/uW+Ypl1ZR7pYq4SMJnrFV0EsW6J0RJHOkfK/5+9846T5KjP/req48SdTbd7OeuUMwqAJEACCZEsEDnJ5GQyL9FggsE2YGyiMcYmGJGDiCJKCFDOOZyky7d3m3cndqr3j56ZndkJO7O3dzrh/n4+0u3MdKjurq6urnp+z48NfXEemqgX4+zLFlmRsrH11kO4hWc9H770rx2XVQEimWroswkhKLkBlRvc0kOB+0I11lmiCqXJMEhrIGlh6JJUTGe6nJ1kIGmQLYXvN6mP/xvB3/1dR9tUwOmZOP+Zm6HQwa1nIHhxPNny99CVtRmCmKmztl+yvSaINm5I4pZWFZehFI6v0KWouks7o3vp3N94DrV3T1fLz38Wt+pb6VLi+q1F8n5AjWNp/a+zRa+jx4MQlR6jIh/LsPz2O9h74gm0sjc3tmxhy+9+28GWm+9rRcbG1CVeEDAx65B3A5KWxmDKaqpm6o2ZnL0xzraJHHz43V3v033z6zD/clNnC5fvsY4CEjtcRAH9CZP984KKNAHHDIX9FylAk7IczN1McihI2jqDKYmUsvpe7PmKPVONAddKhYEP63pt7tyX4zd/+17O/59PdN6GthDld4qUYfURwNbx0P3W1iVXb59uKQ4GyLsBz/7cT/jhm5656H3nAoW+iLGMtU9/KkecuBxL13hwMsfajI0mGp9xtULtguejVFhfhpIWsyWX7AIC+FYEms6KtE03nbpWwbauX/8WKBDleh0Gln339GM5Ll9kta7zhUxfdb2CUvypkOco02Kgpn2tPZurn3omO391TfVztuSTielMFTy2T+U5cjBJKZmC7OyC5a/Ux3PffAl+ALePzHLlw5Nkix67R7MctyrNsh6LqUARMzQMTTJd9OiNSZKWhq8EylNMFV1uH8niBYpzjl3O9pFZ7h+Z5YF92apA2NQEaVvH81WdOLhSjodrxs8eGi/w3zfs5JJTVjaIgyttd8HxyMSNRSswJ3KlqiO8uUDwka9EU3FwhaQuuOyWvaRsnY2Dca68b5TjV6X53Z8fZNd4nrf27+O0r3wCaH3/J7/7TSb/dCWl71zGTMljdSZWrdu2Ho7F2IZLwtRQCrZN5hlOWgi0UPDcxPE9ViMOFoQBLpXsK4Ga63MVnPCdajBlsm3zxuokecszu2cPuTNOIHHtbXVf9yYMjHIQ+mTeJQgUsjyOGijF2EypaYBKRSxcqY+Or9BE+P2yHquhJEaNSUPlqCdr+sxFJ0/C0umJG+WAiXZ1RDGeLVH0AhKmxDK0lgF281nTGyfn+IzMFin6isGeGJWegKlF4uCIiIiIiIiIiIiIw51IIBwREREREdElSpWdn2rGxXW5OPFLULOdymC6FIsX0iSWLcNYuwZ3e3epcGFuIP/Oc55Jz8qVuNlZpiYmGUgluG57jrMTcUani5xx5DJUMtawvinh+ocmAFjTa3P3fSNMZh2uvmMvpx23gmIQsPnSz3PcLTcx2r+cqy5+M64sW9LWsGOqyLHD8brJxqGkRa9tIIWgx2rwdKijE5Fp4uZ7yJ1+PLitRQg9r3olqz/0ISAUPqJBv6FhG5LJvFuX8u5wYbboM1usEel+9Zvwypd0tY34U0IB0GCPveC5rJcBClb1xRibKTG7gOtMM2LmEnVLyxOX6R9e2nKCeT4CMHbvQI6PEvQP1v+2iBFuS5O4XsCVd+4D4Mjh1iKDdmVShJ31BUvwsx9TMnQyH/hI9avZfInzP/SrrvfbCVM5hy9dfjfvec6Jdd/rmmS4x2YsW6o66LRCCljdF0N24Iq3lFTaW11K1mZijOadOjfOiqthXD84rsG1/PXOnSx92yhaOe4dSg6DIjya6cS5eykIAlWdBD4QOtnCUh2R3qYdVMDIbInRbKkuVXGPXe9CNl/UKIUgQCAXnXi2HoEiQKF1sDWlwDbCtN3tBDkHQyN7MNpV1UVBKyIEXUKxybFXHFhjB0Ex30kpB+IGK9PxqjhkQQ7Sg6rgBtw7lmUwXu+uO13wGEgYZB3/oAWFGG3Ofauzku3pJzU93vE+KgEIFUHX/O0uS5hNAwO8QDWkvobwfBU8v61AGKCwaQuxrfd1VD4BJK66vulvtVTcZue7iM4nUKEQr53LcCdMFV1GcyWGesJ3TSEkmbiBFDCWrbR5ivjjzmPv6j5SOycWkMBAICD4xuV84KIn8uGZSQpK0aqUNoJ/zPSz1jDxEs3779oC96+UkvWD8Rpl+dzynh9Uj8PxVVUhFJz/NPjFz9putxni/Au7XqcWUxdN2+na+9I2RNO07oGCY5alyBZdNCmIW6EILl/qPJhWEaZczzk+vfEYRz38MJoU3PWSS1C33YKM2Sx71zsZfO5zF3V8c4hqQKKhaQxl7LIILfytGcvLdfD4FRnudNu4Qrei0FpYN5/tZRHe2sF4y/LM0f73wuU/I3jf/6t+Xlv+VwG89o1or3hddfjFp1Zg11gPlqWMOlfJucw69XeQUopAKXbOFOjVFE80c5yQKXDd48/C+e7nMPPZjkTCA7fdDahy0GkYZKNQYdCrH9Q9j5VSFL0ATQp0KZFCEQSVZ/bcckUvYEXaYqLQvl4OrdhErKePwvTEAqVszrQKmAp8lmndjWl8e+PjWb51nP1Zh8GkyYbeRF17Kwjv08rnQCl2TRfoj5vYmsQNwgAbBSjDQLQZ32rGxDv+nvV2+/G1WmxDUHRb9yFsQ+L4AYasf2bceNQ6nmbboDcG4MaAx9sxpgKfhzyXDXp9UI0AZBN3Z9dXLE+ZJAydfbMOI9//PesuPB1RrifN6lul5NnfXk12Ko9AsDdbYl2vTbHoctuuaW7bNc1Rwyle+tjVeArGyiLM/VmHIweTGBroQjBb8qr9qYmCR39fnCf0xsiUzQ4G4gYTBZexnEvS1OiLG9W++0DCwA/mBKEVHp4o8O9/3sYTN/QzXnC4afdM3djaul6bv3v8+urnkudj6617+7Wiz6Lj1wmP/QBW98TYOd08yF8TiidsyPDwZJHtk/MCApRiz2gowl8/EGcy73H2lgFOXdfLaet7+fKl1y4oDq58b+zZyezfv5eZ934E1wuQUuAFisG4yfbpAq6v6urSdNGjx9YZTJjEDb3anoX3Sn29axW8/rMnnMZde3YjhOAs3eAEy+6sy+s45D/wLuIf+2T1K12KajsZM3U0KarBLxNZp6k4uDbsquT77HzgXn7+w++we9dO4vE4T3vqU3j2c56LZVnV5WYK7e9tKQVTBY+pgkfMkPSnTHQpm4xpKXaO5/GCSpYTmC26CASZxEJtgWIy5xLXdY4YSLIyE4mDIyIiIiIiIiIiIh5tRALhiIiIiIiILnGDxkFGxwerywExPwi31QxBOJipLyI91wnX/pnbzjwbd9u27lYEbj3veTz47L9lenyWs49dzng24J4bd7JlZQ8PjuRwvACpSY4dTjQMdOZyJTYPxNmxa5LrbtrHTN7lCSeuYlBMc+QznlPn9dW3bwdbPvJiFPDni1/Pg0/6m+pvY3m3bnBWk6HrhrbEQsLEdWF60twzngy7d4VfCsHwpz/FwHOf21ILlrDDibLKBFXJC/C8gJzjk1+kc8vBInHSKeRME5wO05G/830HuEfBQNqixw+YzLkLpqeskLC0OkeMA6Fyb6Z/8p2u18189l9IXHcVtX4bCjj6Medx99++q6NtxAzJn+8c4fiVaU5a3YMidGqac9LpnK5u/R99n1zfADzlQpKbNvGfl9/Tzdpd85+/vpdLnnQEw73xuu8tQ2NFJoYfKHa2cJTWJazuiz/iMwhSSJbFLQquX23PjuhPLnlb83+Npb6qli7q0mH/NRI6uIVnrttj1WUYxNJOuNUMAVg1qX8rbroHKu5qhtVCgBQRYuoiTHerQjdgKcPPqEog2dy58wNaOp/XokvBjz74FS7+yKuWrJyd6mS9QOEFYRO/kJBkqTkYe+rICZPQxbnSN3xEmqwFCpo0NZanYp2LgwFxEC+dUjQ4W3qBYiznIgT0xw3G890JnQ4WP/zEpVzyhvO7WufKF76Z/M5ZTlqZYqbosz/nMhg3EIKWDtL7ckVKnl91oa4lOS+QrtkW9n/+G6x8zrnouSzQXhw1/d6PEO/QLQ7CdNimFjrkmWVXYcerdxZeim7dVMGl4AZcuXU/p6/pI2kbeL5iPNtYF5Zf9hdGnn0WyW1j4f5rfquUy9Ngx39citY3yHGveTtf++/P87nsFNeWimhC4CqFjkCh2GKYvDWV4VgzFOTs/mHzVOKG1smBiqYXoFXAgf34c8h1sNWG9Y49fhFrzREEquk7ryYEmlBIAZ5P03YjPBRRdf1Ouz4lT3XcjxECdoznq+KuybzLdMFFCkH6379IoBSBAueBu7hj46aG99mBd76T4be8ubsDntv7I/0aUkfljPm+IjRQXUj23pxmWZJE7b9f/gLqP78EN921YJnStt4ygDdQioIXCm4dP2DfbAm1exfpH12K/O0vyAqBKQRnuS6xxz2Ows03o2am274PJ26+h4IbYGiCZWmr7IBZQXHttgmu3TFZd1x17Q9hcFSz9nVlj8Wd+xa+w1799b/wtVc9kZmxkQWXbUZPE+ffVijC6+74YT1/9WNW1Y0xWnp4/Lqcew8KlGKy6GDpgr2zBVKWXhWvAvT+77eZfv7FHe8fYP3zQ/F95XSXu6ItES1GyWq/9QPwawK1HzhpC0faoaNus2dO5buM1BBBwHTg09PETXrV3zyBm7/+KyzLDDMP5F2Wp0yuGJmi5CtSpsau7/yRk97+MpK7tzXUNwV4sQSTv/gjecdnQMHuqQLTOZfdWQdK4bnMxA0Krsedu2cYzsSqdXEoaRI3NPwACr5idY9dJ0B1fAWaYMvyNBv742yfKlR/yzo+OD69MYOi51evW9rWmZwnXk9YGj+8a1/D8ffFDR6/vo+847FzKs94zmEi73LG2l4GknbD8n6gGJkqYJbH2Qqu33Dl+mIGMyWX/riJoUlMKVmescvHE1BwPcbzo6zJ2MyWPKaLXnhMQjDYn+AJRw2StA1U+fzEDI3YQJx/v/wjdee+HQLo++OvuesN72fPjMOKlIEuBUUvaGmcMV0MyyIFHFt1RG8cM/AVGDIco8vlcvzDMeu5LJeltkdxbt+yjt1zAdQvfw5lgXBPTCdhzbWTlTFNhWK24DHbIvucQNAXM7jtzrt49wveyJ5tD+G4DoEfvuP9+uc/5s1vfAPved/7ecc7/x8IyBbbv/+F9TS8wgU3YNdEEV1CT9wgZYf9T89XjM6W8IIwqCtQipIXCrB1KcJjETQNVlNKcefeGaxyQNCqTKza8VvMvEVERERERERERERExCNDJBCOiIiIiIjoktpB4NqB8CAcD+6YdnNnirJLsR+mWtVEdwNuJ1xzFQA3bToSlVvYvSbz+tez6n3v5e6/PMjstknSCZOrt02BqXPmlkF+d/ve6rKnbhzgCev6+cND49y7P1ed0BpOGNgSduybYSbvcsLGAc7aeyNnffrfgdaDw2f94Etsvv4PXP6ezwJw1LJEdek1mRhJo9FlZClJ/Kw+Vamd6sxBpVIm29DA0NA1edgJhAES195G7owTFhYJX/JKEi966RLsUWBoGstSkodLnTknpe3G1MuLpXI/yuxM10LF1HVXVf+uXfe0G37HY274HQ+vPoKr3vu5ttsougErem3uGZll/UCc5526CiEFDz//VWz47n91WaLOUQD/9SXEf32JWeDVCCZe/U9Yy9ag6xo///ODS7q/guPzyR/fzqdfcUbDb0IIdE3QGzeYbCLuScUWnxZzqRFCsCJlM1V0sXXZkQP5/zUnWSlDt1I/CCcKBeHlk0KU00OXz1n5vOhhkwiU3XHmTTQr5iahRVmgIWo2UUvB8ZFSVCfJw33Un/xmWhvV5K/uEGhy7tgUitJBFDlauqDQ5falCFO/F9wALwgFFZWqKQgFx4FSeEGYxlwKgeMF6FooYtRkxY2sfr/hcS8trcQEj3aWzgFX1LulznPKmk/G1sku4NAYNyXGUZuXzEXYM0zMeQdcKgt5dCmallcpKLpqSVxFO+WRerSYuujKvfqg3A1tjt3QBBv7kl2Jgxfa5sHcjlIwnncZSBiMl50RH2lcw8JwSwseSsW7cvtZT4O8y28emGBzf5wHxvOkLY2TV6YYiIfvGhWxqBCC6ZLDTNHF8RW9MQNnnlNcq0tnaoKUpZN1fOKGRunyP+H93Wuwb72h6XlTwI7PfwM2baE/8LE6dLusCNmAuvu91unyQNtETYZOepV93L1vltPW9lFsExQx/KM/8blvX8HT/usdDEwVkOU+R8mEiec8n8wb3s1AAI4XkH3xK+i/81Y+dct1jHke1zhFZlRATEgeY1qs1o256/ufX2d9X7zsjBoKaSsBGz0H8N7S9hz198N4507VDK9ovZ9WP8yrwG7ZQdD1FaIcrOQHQTU9e6BAdBgpkHeCrtoY31fzEwk1BMXkzjiBXIt32LFPfYqxT32KTXfcjp3JdLzfehQFxydmasw/OXU9Fyk7zkxTRUosXeL6AYGqBH+Lahp5TQqEEEihqn3AHRMF0rZGwgqDowWhQ6ipLxxMmzvl6M7KpQJypx5L4sY72y6WtLVq8Nr8qxooeGhi7j0/dt2fGfz4+xG+h/Dq+yeFP16JsG1mnvdS7D/8CmNsbO5HIeC7PyWxaVP1K0uX88TBAILNg4m6rC/zyxSOnzXWP1uXXL1jpu2xVnjK5j6e/MdbUQqef8YRFLKdrYcQXH7rdpbdcwPTb33rgotXSvnn934GLQiY2j2Bf+RgdXyp0qbm/uYC2LG9bj0TCE58DOZnvlR1o9WE4OTVGfrjQ8wkEqjcwmJoAWivfj0Qvoe4ZaHy/GXmHSalGtFm5T1QKYWlS7xANRV09pVfThYa0xNC0CMlD7suPWajQFgWC3zj6p1IAU8/eRVjBZdd0yV0GQavbJ8qsqk/xnX/8jUsXRL/3jc5/upfYfgunPFYkh/+GCoQ7B6Z5t6RLL+7Zz9POGoZhq6xImUyKxSremPoQrBtPM+eqd2Yusa6/hgnrutlc3+iLuBxpuTVnbNjhhIcN5TCDRSG1NjYm2Cq5LBnZs6BfHLes319b4zJwiwQOg6vy9hYpmTnVIkVKZM9sw4JU+OIgRgZWydXcrhhx1zGrpgu6Yk1jl8GSrF/pojjKxy/9TPUC2BtT7zqYqxLgamH517XJEXH58TlKXZNhw7CleAtRRg4YmsSTRPoZcfvgutTdCGRz7a50s2ZuuZaxo84gXWZXlLlTCmWLklbkpkWxgOBgrGcw/K0hSB8J3H9oG6s3fUVUzNZnn3kCnbOOxdJITjSMLseb1YTo2j9gxhavUPv3HNDkLR1xrLNn19CCMa23cv7Xvo0ioV8Q+cgmw3P38c/9lG2b9/Gv332C8RNrW0ATtFp/M0LYDzrMplzG8YbXD+oc6/2AsX+2SJKwVDabnjm/H7rGL+6d4zjhpNcdOxw9aXLkGH/LSIiIiIiIiIiIiLi0YHoJl3igXLqqaeqG2+88ZDtLyIiIiIi4mDgBXPi3tqJI1OjpcNBM1y/Pp3cQlQchReTlXjy8l8z+vX/xZucRO/pof8Fz6P/omdVf68ck1KKn92yC2XobB/LcuOtu9kzkWP98jT9SYvj1/Xx2KOGq1ITKaDg+Xztpt1VN2QpYFnMIOEVOetVYdrTTjxwrj7rb/j9OS/i1PW9nLimh7ihsTIdb7PmwWEgaZAqD7J3K2kqOB4zBZd8k8HZRxr3xmtwXvOKxh/6+hi86hoG01bd16FQsvWVc32fu/bO1E0EK8quM0qV/64/e0MJu2HwXZOC1X2xJROB//yuUMy++qInonWR2rUiqmv3O4ALfOuLv266zGPX9GBogn1Zh3zJ55TVKUpewO0jOfrjBide9Djan9Wlo1LeK570Aq44/W84d3Nf1RFEE6J6jRbcTpOFqmJOKXjZYze0vHZF12fvVLHh++Eeq6Uj1eJQoZgoW6p8nHMMEuGk0FKmKp+fCnTR25E0CCMORxKWZFk69ojsO0x/eThIw1qnKD0QKu6/rh8KecM0n2Ga5ooeKmZIijUp6k1NIKVY0jo9n4VSyTdDKYWvArKOj6FJEsbcPV7r3HWwKXhenWjlYHLcUHpJ6kTJ89jaRZnjhqyKt1rx0ESR7eX29+VvOL/eQbBLFPC1f/khr3rCFmy9iWCD+cnG62lVn5aqLa3FVwH3jnYvSmhH3NBY35tY0m0eDGdln4B79zc/9qGkxUDcavpb220qn13Txfo+0rxKNL9OVfoNtUeXMDX2txBJLETa0hqEIT22znQLV7aFEVzx0GTTXyxdthVfvOyNFyBbpC5XNf9+fV4/cVN/jK3jc1kV+mIGp6xKkTI1pIC4qTGRd6vZDJKmRs6pd/pLWTr9cZOi5xMohaGFTnlTBa/1c/Km61jxyQ8ji0XcFcsp/vd3mS56JC2NbCl0Kt7Ul6zrxy2m/bf0MAhFSsiVWq+rl9OGt2J/rsBojRtmj62zsT+BLmTTFN0QXocv/+khBpMmF520CgAfhSEEhlYWNQvBnSM1Qr9r/siaD/+/RvEbgGHA768mkUy2LGfa1umvBpS2b1WVUnXvQwXHZ/9s83uhWCziP/aktturI5mC7OzcZynh578nMTzcsi4bWigErP8OWmmwO80AsJg+0kDSYKyJM3SF3GOOhTbCtlo2P3A/lt3ooNkcRRAoRmdKBITBnUNpk4RlzFtqjl3v/wBT3/hGh9sP0V56Cfbb3g2E/T1oHSAeM8OsAUU3wNAFTpNzXnl/msqVGNu5h+Kznw75POg6PPVp8JMfdVU+fvhLEuvXA83HPHpiGj0xAzdQYUB0TV0veT6/vW8/ANY9dzD0njchS43vfHXYMXIvfSXBS1/BYNxqmbFlecYu768eLwi4/J56V9VOx2o0Kfjd1ubtPoT9kads7iVpGYznnZZC/oyt89Ddt/HRd72JXHaWkx9zJl/8r68zUXAZSpjommDqnW+j9KtfthxbqGz615sez0/OeAEDKZudY1n++ZLT2bg8A0DulpvglS9pWobaZ82OH/weoyfFuZuXoVcVeoq7jjgSVWieyad6zM96NvF/+MdwDXVgfXTbEGF2NF81tDG5l7wAddetXY31VIIEagN3K1v8u7d8k42DCY5ancFR4JVCsaqla0w7PoYmGE5bDKcsTlyeLot4AzQRPn/6Yhbv/tHt7J91EMCLz1zDcCbOaK5EwpRcedc+7t5b35da3Rtj9XCKo4ZTPG51pnose7MlfnjnPpKmxvHDSeKGYFN/EikqQbDhcl4QsDdbZKam35I0NQYSZvl9SSBF6Pi7bSpPzvGYKHhcff8YG4dSbFkWR2uiwFzVY3PCykzTc5srui2fNYmy0LTyPI6b4fMibmjErTlH3LzjMTJdQinF9uk8OcdnIGFU3Y8NTbB1vEh/3GAgoWNIwWzJZ0XawnzsiW2v8XwU4CdSTPzsCmKGhuP5VRF00tRCB+YmHDmYRJvn3B0zJDFDMpGfO98vXdvHTW7j+TjHsvlkZqDrsUj7CU9gw9f/B6gPaJjfJiml2DNZaAggdByHJ526hYmx0QX3FY8n+I+vfJXnPu/5FF2fiazT9Plul8cMmpbXkDheUH1OL9TX0ySs7I1Xg0QcP+Bzf34YP4CLjx9mQ3/4XtTtHEhERERERERERERExKFBCHGTUurUZr9FDsIRERERERFdUjsAVhWh0b3oQpeggs4n0wIFjr+4CP3eC86n94LWqXE1AYGAAMEzT14NwGzRJWlo7J7Kc/aRQ6zpCcW6tcUNFFiaxutOX4PjB1y7c4rb9mYZybu8+O+eCSx8XiqDqGf+6SfMvvyNBIHizh3TDKQsVqXjC6dxFQpUm2VEuzLU+hqGIkNUKJ4U0LUVXczUsQ2NouMzXXYHaXV5QxfO2u2reb+2+lRf7+Yfn5i3gl6efJPnnE1w71aEqBV9KrIlD11KZBcpMSF04qo4iXTKUKJ56sNs0QtdZZeAyvV016xH3ndXx/dlJ/UUwABe+OFL2P+NyxgvuEwVPDK2zqoeC0uX3DGS4/6xUOh1rJdgPO+xoS/GypTJittvZ+/xxy8oRl4KKufhiX/4DndvPpGzjzqamKGhBPz4zn2ctCKFswTq1G0TOdb3NxdR2IZWnXyIGWH9KnkB5gFYjARBgCq700DoYAnUTbhF/HXgB+qwEQcfLAwtvD+0GjfgWgThZLtdvn8CFd5DS66qPEACpfCDgG1TeQqeYkXKqhMI24sQnC2WQ3lmlmpf2kGYWa2drP76F3/NUz75NlY8fHfb9N7NUOX/SCZbCmYCDo6A/nChs3CaEF22zxAyt9GD4KrdZnO6FPP6f50iWooyukETgoGEAQqWzUuDrcp90YLXQgAqBD1SsGu6VD3GnOujlEAQij8tXYCac6WHMFV05RVBoFDlc+62qagLGSh84wuX87SPvZ7BPQ81Pd2uZfOtz1zWdhsA00UXSxNVJ8HxedkWso5Pf9k9ucJsyWO2xjm8VqTTklNOZ893fjn3uehhaoJsKdy+5wcESiFZ2NmxHaGANDwjZgtxI4RiIkMru9uX3SpVeR0paBB9Txc9Jgsucb310LUCjlmRYiBhVR3NexNGNQhrtuhx297p+pXOPIcdl18X/n3NH0ndfD2z5z+TDaedRNLUFwzemil6df1OCZhG6GApkAgJGiBkKPis3V7MbN0Htm2b4h+uwX/Sme0LUKFWHAyhw+2FTyQHyFvuaVi8ldi3jUEzJU9h64LiAiJhTYaZj7phptC67178t091LA4G2Hrc8Rx9/30t63HJ9dkzVay20ctSJsmYzlTORZcQN/W2LfKqf/xY1wLhijgYFn4uFMrBxabW+v4Zzzo4P/xf8h/5YP0Pvt+9OBjguU9H3HgXQsxlwjLLSmYF5Eo+0wWf796xl799zCr6ygHUmhZmpKjQ96V/XVgcDFAsEPvGVxh52nMYjC9ruZjnB3OpSGrQpeTU1Rlu3DlV/U52EGhk65JiE+FqLecf0R86n3oOSVPD0GSD0yvAVNFjYOMx/Mv3/8Bkwau+3/bFDJb32CBg7KOf5A8rT+IJ//WPTfelgMvf8nG+tydBv6lz+7ZxkjETsxw8m8tmW4qDYa7/JoB1F5+LVb6GIQFTOZdlN97K2Le/g/+xDzVuIJVGu+zX2JnMkvTb9LK5duXchkGPc/du6c5bMLt8vshyMHMzXnTGGu6fKLBzNMfQQIJ7dk+zLGWTK7l4AWwbz3P20UP4geKaHdMsS5qcMJxAl4K4oVH0PJ58zBC7Zx1OW9tDoOCYoTjZksXDk3nW9icQQpKwNBIxAyUEOU8RIMhYGoYuqHRXBmMGZ6/vqT5DfQX3jYXi4g19cWxNCzMrScmqVAzS4XMwaDIGHChwg4C86yOEIK7Bg/uy3Ld3lr4zVjPcWx+se8rqDMvTNq2czxO2znIp2DtdYj5JW6dHCvZMFcsu5YqVmVhVhDybzbLt+BPAnbsHBgHrqc+C983VqR5bZ23Goj9ulI9BsaE/jnjGk1lMz1E4RfKOj63LqjjY1Jr3Qy1dcORAqqFtNTXBsrSNlIKehIkfKG76n/9tKg4GSHU5BlqhuGcf28eLrBuoN7SYX2uFEFiGRJNzwWVuoPjtb35OaQERf4V8Psc/ffxjPPd5zydmaCzP2OyfKXZsSlEZj5MifCcXTcbHK+9xmhTEDEm25DOZcxhImYznHL5y3U6Spsb6wXhVHGws0rwkIiIiIiIiIiIiIuKRJRIIR0REREREdIkUYGlzg7qVAbZu51WFCAfVHL87iYCvQKqlTaNcKYuvQvGAryBlG1zyuPV84YoHGIw3pq2rRSkwpOSstX08dk0vQkDe71ywVxFYX7BCJzE8PLddWDBdc8yQFBadurpx22M5h9mSR8kLWDcQb5hoXEjSIYQgZunErMZu1n3nPRl361ZQCn3NGo7801WLLPfiCYKA2aJHqTyz4fqwRNrcRTOWdXD8gP5k9+52rZh47dtY/vZXLdn2arH27SUT0wmUotfW0QUkLY3ZosfylBmK+VQoiFndYyEE5NyArVOKOIfGQZia/bzpy++l/01/gy7ANg2G0yY5NyBtaVWh7WK5a2SWtb2JhlSwgVJMzJYQYm5SwtTC1JONaWPbU5kg9PyAXZPdidIPZx418ymPkOgvW1xA+HSIORjXq+AGJExJyVNVJ6CKu7cUopq+9XAXSk8UHEq+z+b+FHFDkHdVnTORfwjLf0jvqyU6rG7axJSlk3cW7l/Nj636zbs+A8Dz3v8S4pOjHQWqVA6v4obaTjvZ6hqHskHVVOgR1o7WAVEN5WsR8FUT80RAKIZtVZbQYV4hym5tteu3Ek/XOti1OmeV782y+LEVtV54C8bKqLYfG/CZm6if7+K7e6ZIxjbo9g4RS1THZ0oelMK9DyXrRS4CQV/c5O79sy3FW7Isbr5p92zT3zf2x3hwvDOhxZqMxRM3ZJAi7KdJKarvcb+/ZxS8AF2TCGB5bxy/mhUjXOamf/oqgVIM3XsTa7/zX+ilEg+dcyE7nvwcBhMG6axTFdZXsmqI8nnXRCi+OG11uqUjboVm5yJmSExNokvR4JjXKZX3qvGciwB0WSJQMJywkC0cPbtBE63flCpu+bUIqAoiNw8kuWf/bJ1wytRkVVQbBKGwWBG+hwtg23iOHRMFVs7sYerpL0IFAWPz9ps+5kQKn/5y8wKfeQ6zZ54DwM7pAkcvS3V3wIBVFwQT0FYZtZCYMZOBm++h8OH3E1y2CNFnmdmTjiJx83yR8OIDExZaMww07e59vN07vv+Nr3a1LVUssn+6yFCPXR4jEfNcHMN/K0MGo7NO9fc1fbGOBlYG3/VORj/5qY7Ko7/1nZ0WHQifHRD2B0wAUa7vNad06sN/Dz/6flfbbUsQVNspCMd/aoO5YmVR2/FDKSZzDvliWLHDZ2y4krHjYYxtD3a+TyGJ/e5XyL+9pOUiLfsTSjGanSd27CDypegFPDhRaPl86Y/pde/DoRjRbxmEEahQGPmXbdMoQENw/hEDOIFiPO/wX9fvQp74OL796Z9gxSzO+/ansR9+gP1rt3Dv69+L5wZMTudITOwkaRsM9yZ4/JkbuGEky0OjU6x+05MZkKB1eDuVzn0s+RtuQoowSGG64BEo6H3+Cyg8+3l1y5qaWHBsrRtsQ6IqwYs1jGRL1YCP4UWGRjdbq3DMifgSNg4kKDge+bzDit4YCVPD8wOSmqAvYbBj/yxX3Z3neWeurWY20aVgLO8ylnfJpCzunSyhCAOM7tqXZShlMpgwGdgywEzJ48oHp5jx54JfzlrbgxCwYyrPynQcpWDGdcvPvEYemsizZSCJXv5dCEHclG1FnVM1774xy+C8o5dx8/YpJnJuVSBs65LHb+jHNppP6c5dXYFtag1ZPtIxnZgZCpdX9cbQNVE33nnnkUdBLtd02+lfXYb61WWMff4byM1bABiI64zVBDnl3YDlIyMtj7EdQSwUngZKoUlBj61XxcKZmMG+bAnHC1iWNBlO2g3iYClgIGXVvFeFQUOfetsbWu5zXxeBKHU8NcyUN1t0ScfajZUrSq5qCMz/6pc+Sy7XecaThx9+iLvvuoujjzkGKQTLUhYjM6U6x2Cvyb1dca+vCIA9P6jLhmjq4b3RmzRw3ADb1BEo7hgZ47S1veybLfGD20eYKnjMlnxe/pjV1e0dQMx/RERERERERERERMQjSCQQjoiIiIiIWARCNIovFrsdsyw29lVn7muhu0Qo6F1qkbBe3p4Mwn1IIXjNWRuZKbjkSn5HU4qVQfJui6aA0sueR+I3h14024rJnENf0qRe0tE5lemzO9euC61VavC2bePO1WtACI7dsX0JStsZUggm5k12+aoy+XFwpVW+CmoUOPUTelP5gABVJ8SppaUoR4g6R+TKSXeOPg6/fxBtfHRJj6pyTfUPvAve93EgTDupFOSEjxThRCPAeK7ErvECKlC86PQ1PDSRJ/fO95H61MeXsEQLowgFFUJCruSypifG5fePo5SqOiYdCA+MzrJlKF33neOGKQx1KfCVQhNzQoDO2y1Frui1TI8ZcYh4BJTMSqm2znKPBJoUmLKV+G/B0JFwG6LS3s7hBQopFKYmUCju3JfFC0KB7Yp0DEvKA3J2XAzdSgfipiShJAlLIoUghsLxgupk5FKKEVohBdy9f+aQmivvz5cDFg7g8akAU0p650fqtKlSKVuv212zxVamLU5eka5mK5Ai/Ff8/Pd4L3w6+o4dC7oJC4ArruM1ySQC2JstUJgJ+zKV+2BOdNs9CUNjXW+i7jvV4u/mXzRi6xpbBroX+LWj1h25VREq3+fdzs6EgVh64fwC7xF3759t+fxV1f/VH2PcODSz/0EARw+meGgyV3WNq/tdQV9M59SVKW5sIhJudtxbfvM9Tr78UjTPw7VsfveGj5LbfDQ7pkqs7rFJmDIUjJVXdl2fqx8Yr9vGCas8bts1Xf2ctvUa59hheOYHADh+VZrbb9sDwOM2D1CcJ7StFO+01WlsvfU5NWSYfcHQJLoQGHEDKQUFxyfr+BTcoCrgG0g0j+4zNcGa3jgjM8UF3Z8VoXuxIHw2pSwdx5dYul4ttI9CIsi5HtNFj3WZGAqFJmTZebTcFlQDwMIsLLYZBss1EwU3OzfhB8FxQ2nyrk/W8ViWsPECVXVXrWDr4b4LbsDa/gQDH347/Dl8f5xfxRVg33Uray44fc41uAWur7h3dJZ1mTimpnXsrtlKeNgK2xBhxhoAFaBCj2vKntgoIPXhj6P+4R/Dx4sIhdLTH/4A7g86F4jmHncKib/cVN1nq9TjC1HJZNAsE0BFXC9ERYhUEcPN/V63fPV7QbFJgG/FkbW5PK09Y297C/l/+Qyrem0Mvd6Bdn7bV3vFvEChaQs/yIfe/GaCksP4Zz/bdjn9tW/Eetkruyh5TT+ppi7FDIlXHj/IjYwsrTi4AyrX+6hl9ZlivEBROb0r7r1lnhS7PbJYIPHnPyBe8bctl2mVVeH2PdPsnOosEKRWCBszNIaSJjumGp1UAc5Y20O+SVs5lnPpixtM5BtFwnnH52lH9rM8ZRPTNWZLPsmYwa/u2Q+E9fuurWOsXpYi8c+f4sF9OX57z37W5kOH4guPW8Etd+wlEPDYx27El5LY587j2pNg2O5cHAzA9DS5Uvh8EIT1RkGdIFGXoXt7N21Au8wQmggDI4rl9/35JEytKhDWF9lBnj8mJICr3vMZ7ADyrkuPrZP3dHpNnZIbsHmFzT033sH6oSH2OQEnrEqzeyxLMmaUn1ON5fjDg5McMRBjVY/NZN4lYepV5+hTV6W4ZscMAJYmsPWwTk0WPEytxLKExfKkTX/MxFeK+0ezde8guoCxfInhmqCo2lfA+d18Pwga6toxq9L0JQwsQ8P1fNb2JThpVaaL90JBwtaYLc7V75mCR8zQiFs6xrz+yJ1HbIEOXG3XvullTHz75+T0oYaggr7nPLnDsjWy+zP/QcrS2DSQJBMzsRucxBX7Z4oUnKCp03/C0rGauI/f2Mbh/Ba3hEeYJawbEi8PjQjGs2EfKsyGJhquq0Cwss+mUPIZmZlrg3Zsf7ir/Qmpccfd93D0MceE/QIpWZ6xKbo+E1mXkhc0bYuFEHXXyAvCTAal8r1b8gJKwIAwSdjhWfADRcLUUMCXr9mOpwRuoDh7Qx+psglGm65sRERERERERERERMRhTiQQjoiIiIiIeISpiI2lgiZz4nWM5xwyMQOkwPFDcfHB0A1p5XRhbgCWoTFoaGT8gIms03QCZT65RbpGiOmZrtfxy0Iqzw9Y6gzm0wWPdMxAX4QaXClFyfN5YMOGhRbkztVrWHfP3SSTyfbLLgVC0BvXmczPie9yJb/qjNYpi5G13De2mOne7qg9hj1f+harXvYsKBaWXONoX/V79A9UUmqGg+SmLuk3JL6v2Lo/y1X3jZG2Dc47ahmZhEV27wzF8551yAXCADP/9inib34noFiXiXPR0Roj2RJ+0P1NI4HhtM2emXCyZetYjo2DSfQaQYxtatimhlKKbWP56veh2Kizq6EUh6c4ePEGbBEdknf8w8411/EVJq3ErguVNfy9vXNX6LJaOe5KKtBDLQ5eDHHdwNYlfgA+AUVXoZfTux8qFOqQioMB9meXpn0aSBhNU1kfCMviFhm7cZIcgJ+EjsC5C8+FkT2Nv2sa/Ox3dRkdIOxvHW735aHg8L8DO6PWKfIRo+Zk5p78eBivEeRqGv2X/ZpZPRR4V1yDK0U2ddlUHAyheGdDXwwh4JgPv4W+u2+p+133XJ7xybcC4fZ8O8bUiadj/v1HyWmh89vv797fZMv1J2ym6HH8yjS3765/X6l1ELxm6xhnHT1E1msu1ABFj21gaAIQ+EGA64duedNFD7cUulfW0hc3wpQzHXD0UJpVvXF0KciWPIpeUHbxDk//TMkjbmjoUuD4AXnHx9IlSinyjsdEPuCX902QsjT8QJGveblKGJK/PWUVAG4zt9iaRrgi6g37faETquqg8+QFYGoay5I6okWF9YIAU5PYumTqnz5eFQc3o/b+rYiEQxGdRtLU8JXCDxRTZTFbzNBYlYmTd/yqGNwqK2ECperEwGlbR5eQLfkYWvhOsNBzqCLUsfSwjjt+beBQ85VNGQp8uhEHhzub6393K2Kupd2qlXal6AZYuqDUpN43o52otJkQuRPU7bcC4bOqG7HXnqki/UljARfIkOXveifL3/UOtl78PIrX1QvOxWlnEP+P/+liz13wjPMOznYXiRSCTQMJ+rSA/V53AX1aPoehzQlWK90KTUJv3CRp6U1ftToNaO2PG/zgzlFW9VicMJxk21SRfbMOvTGdySbBh+2CdQquT3/cYLyJSDhjG1iahqkLsiWfneMFVvbEmHUCSrkihq5hpWPsny7h+QGWJjhmWZJnnLyKf/3jQ5x23Ap8y0TTBMNfPZ8/nyMxHRje19Fh1jE2OUMimUQROrjahqzrg+ta2IZYumQgaaJrYQCvRLBjorkgVAKaJuraDksP3WaDQJF3AgwNpBINfcPhpE3GNtk6nqXYO0hiar6ve/eUVq8ln3fxbZ39OZeUNXc9N/TFKLo+azat4f77d7FLy7Brak4Uesa6DHFTq4qOS7MO63tjPDxZ4P6xAkGgWJ2xcQouKSsUfFua4DnHDLIsaWNKwc6ZPE55f/uyJfrjBoEXjmtIBMcMpcMMMJT7GUFYp4Pa+HjC54kU4HgBpi7L9V/h+oLlaYtd08XqsqYuWdEXB+CYoRTrBxJ02ysdSFrkivm6J/ZEzsHQZJ1AeOo3v+1IHFy5N3tf+PS6oJukqTGctnGnphYVNymAI086jvX9yZZBAgLBsnSM6bzTYHgAEDObv/c4bZ43HnB5IcfTY4lFv3OPZUMzjeGMXQ6RqpS3cu3DDHNrBySj06W6flWnKEUoQg/C/qIfKGYLblhHem0msg45x0OX4f0Y1p/mz+RK/0yKsC3XJeyfKWHqkpStky15mLrku7fsQQhJrhTW+/X9sepxdZkQLCIiIiIiIiIiIiLiMCISCEdERERE/NVTmVxWZZOoiiD3cNTcLKQ72z1TRAhBX9yoOgwdrMMQInSy8lU4WWtokmVpi5mC23RAtpbE8DDZxZQtk8ENAowuUtw6vgJfoUtBZUz4wN0K59bfP1NiRa9Nq6Npdc3yjs/DmxYQB9ew7aijOXbnju6KuSgUpaVWUh+mBOkednzr5wx96O3Yd97WdJkDuX+OWJYkV/IZyzm4foAQoppiM1DwUFkYe9bmAUxNVic7tLe9E/8znaWoXSoKf7ma+JvnPg8lLQYTJtun8zhdplZcP5DgqKEUyf1ZJnIlso7PtvEcmwbrXRuDIGD7vJTfMauFYO3RxCMtsPo/wMwSiyWXjAN84HZSdTb0xfEDRdbxcP0AS8q6ycZDwiLqeMVBUCmIGSJMY/pXLCb9a4gTSPzy910tv9THezj2w5vxaL/OB8bSXiQB5J54BkxPN/7o+/D081gD7PnN9fzhwUl8BWeuSRNA01TvFXKOz87pEs9534tITY23LHlFvCOLBQauvRKedhaJkx7D6Cc+zz0jnTkTP7A/y2DKZLQmgKlWuBYoSFsa2RrR3MhsiYSpcfX28LifuL6n7gYYeNfrid9xM5macu74x8/CKacDjenb23HbnmmmSy5HLksjBVyzbbzBlXDarxfJ5escAMN+WlMn5wX2XXETrnV+VICuhU6omhB0lo8mTJVt6qGFpa6FImwpRNWRuOKs6l/69Y62J8r/rf/cR4l/9JN1v2kSpkZC0XfRDXhwPMsRy1KkYzqaFGVn5PCYgiCo9vlNXTI6U6p774yZssHxuBa9LCSuFe3MS6rSgCbFwsrjFuT+6aMk3vP3BxSwo4mF66AuRceOy9D6mA+ovTVDWXDJC7AX1vpWSdka6ZjR1H26OYJNVbG2IlCQK7rMFLyDlzGhy3e1g40uBUcOpRnv6UGYJqrY2qFzPmZfL6vKokfHC5gpuKRsHVOfy5hRK6is/L1lWZKxhydabncgYVDyAgquz9OP7OfG3bP84r5xjl6WQAjosQwcP6A4ladYcDH6UwjqnXbnU3ADEobWVCQsJQSB4sbds9yyZ5YzVvfwuwfGCYBVSYO16wawNMFU0WV1n80nTjgOXRP86YFR9o3luGHbFAAXXvda/nK2xDMEvVMKTwO928v90x/Di15a80V9PTSkYLAvVg56D89xZbRt/WCch0fzzEfIinu4oOSGLuJeoHBr2gLXB9nkTgkDUgRHDaZwrriK2ZOORlNqUQJMBYi+Pqa+9kMei2Ii55K0dPbWPIPdIEARim8H+lOsGOhHqfDt6fqHJ9k5VuCszUmww+VXpEKh4017pkAIbE0wkDAYy7kUXZ+BhInrB6zuiRMoha4L0rZBxjbIuT77sw7jeZehpFVtWyv/1tYmPwC77LRcOZbatrQSDFHx3h9KWvTHTAI11/+QInTnV0p1HdAfblxg6LJuv66vKLp+VSCslGLXKzt3Pa8WIZuFZJLemM6qdDx89+uyeBV63/pWVg42zwBSaQcqNS0dMyi6QYNxhdbi5PQJyXibHsy/zk7xRDtOgg4Dc6+6oeGrghvw8GiedEyjP2EiROOdIYVkKGMzlXdZu24DUxPjDdtphe97DKxazz37ZjhyWYq9U8VyFiJIe3p4b5ffvU1NIAQLBuwEKuz/OL4iUIqCGzBd8BACfnLXaF0WCluXrOuNd1zeiIiIiIiIiIiIiIjDlyghSERERETEXzVKhc48jh+64VbEriU/HNA+nLQrc6k5W3P88nToIlXmYDuBVcpkaVSdDHviJgPJ+lm30oNbyT3mWHInH1X9D7qf5Lv09f/CN27Zw2iuRMH1cbuYzfQCheOH/x2onKG23CUvYLqJa0ztss32N3br7V3vd+o3v+16nW6ZzruLcq14tNBwLRJJ9n3qP9n+kz8y9ZJXkXvCU8ie9zTG3v6BA9qHBDb0p5BCkHN8HF/VTbykbZ0zNvRyxoZe+hL190vyklfBi17edh9LfWvvWrGBnOuW7+NyoIQUrMnY9MY6jxlc1xvjqKE0IFiWNJkouBS9gK1j2YZSN7tvLL1zgXBwgA2cUgepnj9KRG2PZg5X4aA4wIu/0NpCCPpiJgMJi3W9CfrjFnFLI2bIpv/Z5f9qv1uM431DObocJYiVU4/nnYCCqyi4ocviEhTlsOVwd046jLq3j36W+GTGzIq/3BJTrpMxQ5Iwtbr/zGY349gY6c/9M30f+X+I6/7SYqOhU1m173CARVzxjLObi4NrEMCKp5xW1UNes2OG63bMcMe+1lkofAVn/+dHSU2NV4WgrbZd+7cAYrfcwPAbXsJbz9vMaesydcs364YU3IBVmVj9d2URxYZlCZ52yiry88RdWccn18QBuO8Db2XtBaeTuOPmankq/619/5tZc8HpiGy2hcNl41EmTY2emM5kzuGB0Vmu3Lq/QRx8QLSotoEKGC+UeHgyx4MTWXKux0zJYarooFAUy474ijDrS9P62ATHU2gSPD8UuhTcoC7wJHflH7o/hF/8vOlx9cfC9+uiF7CuP4GpSwxdQ8r6zBdSSixDx9Q1lKJBoFRwAkxNNH2nDzPeNI4/LHQ2vEDhjzdzuO6Ay8PjjRtyUX2r3LmPY+ako5g96ShypxxN7uc/abqcoYuuXIpbleVA+v7aC16yqH5HKGgXVQFarRCtFjHv38onKQSpmMmqvjir+2IMpkySlnbY9xN46d8uetXKZUqd+6SuBqREIkH6ootQ5XVMXTKQsrAMrakwTwH5kkeu6GI0+b32m6IXMFvyybsBOcfnuKEExw4lcPwATQq2TRZYFjP46R+3Uiy51e23076nbZ2post43mUgYZCywndmQwpimsYV2ya48qFJposeD07kWd8XYzimcctD42gSTt/Uz6q+GNsniuyZKfK163bwh60TaDUVNbu8iFd+Pfb0MKtY1/zip23ODCRsHV3rPIsPhIEMUkDRDUWIBTdoeo9rTW66ilDeC0AiCRaRsUgRim13vOdjzPzkdxRcn6IbMJA0eWiiQM7xSVkaG/ti7Jt12DvrMIJNZu1qHE3D1XUcXeeCE5azbjCOF/gopbB1SX/SYDBl0mPp2OXyT+RcBhImlq4hyhmXvEBh6ZKSq0gaBnHDYCBmIUToItzOfbpC0Q3QZNj3my66zDouBc9juuRQKgfrBEqVXYVDt/3azQYqDJgxpGTfdJE9k4WuB4H7k40RExM5h6lcialciZ0TjQLxTlj1kmeUs6B4bB3P4gaLD2RY+Y63Nf2+WUBmJRuDAAxNsLzHJm6G78SVLG5Teafazlyydl3bfWeV4uKxvUyroLpOS773MxJNsr4ZmsA2BDOFcFywXYBJ0tK55HVvbrqdVgyvXsfqjUdQcn12TRSqfaFAwVTeYyrnVjNFyHJAVSd4vioH94adlkpff37fZtNAvBpAdtg/2yIiIiIiIiIiIiIi2hI5CEdERERE/FXjBfUDirUDjL4KzVi0sgj2cBAkaeVyuH5n0oFDNThXcRP2yiLrVMzACxS7P/0p+Mp/NCzf7bxGZSJu0zEb2Dqe57t3hLkVN/bHOHd9H2YXosIlYd4BTORc4qaG0aIcFZFwZTWlFLPPvajr3e565SvJHGQX4aQddv8WcoFeiAMVbx4sWhbLtpl+yavrvur7/CeRTmlRgpf0C18IwFQLp1Pb0nn8lkEASirg2m3jdQ5ziXe+B975HnJPPhvGRxvWX+pb+/5XvgM5UUBSaLrx/oTJRN5pOH+WLgmUImFqbBxIsDw9J4rRpaxOYHlBJVVm5R5RzJYaPWSMLmbuvQN04cp7ATG98wmSiMOH3rhJwencjezQcYCi9Q6WWWxq7QqhAGnx5RTQ1v2wGQowNVHnnBeosP3wu3C+fDRxAIaOh4RHQ6t3mHYjGliqYhpamJa74ATY+tKLhHUh6I0ZTDbpl1h66I4XKND+5cPEfn5ZXR1JXf1HALx0ht3f+3XNLwJ/nrCnP24wVXC7rv/Jb/03mlNacLlKuV78lmdyw7d+y8q0za7pIg+Mt0597QeKDbf+ubsC1ezPfOgB0j/6JgNnPgtNQMrWmSp4Lfu6t+6c5ujlKe7eG7oOCyl4+skr2Zd3Gck6rO+LMVVs7aOnhGDw7a8mcfftdcdcW6YKay4+l+0/+D3ME5LMfwfsi+tM5r1qrWq3/3a0azuaaaGUUuydLdbtb9vknNioN2YAobts4BO671LvqlhLRaSiVPkYBeRbPZPe9eYlyabjK1jVE2NFT4x0zGC64JK0jAXXK7lB03Pi+ApLD9N8Jy0NX6nw3m/xfF+o/KHb4+KfpaYWuk9ausTxAqQQCzr85045BuYH2ikFH3wvuQ++F/0NbyH12teHTs+GQKpwPKXTR75o4cOvCYGlQ84wwO3uXdV+0csY6rGxjIMzbqDm/dsMXZMkNUnSNkKhmhtQdH3yjt+xE3itUCtmSBDQOjxi8Qz8v/csel0pIVt0YWAI6+STKV57bccPdePJF4SCR72zO3cq71LyQpHlCcNpxvIOu2fCd4TaPdq6JFvjfO4FijUZm3v2h+3R5oE42/fNcsTaXnp6YgTAQNwgYWgUvUZhY9LUKHl+tU6P5VwsTZC2NJanbK54eJL7apx3t00W6bc0fnnrXo5ZnkKTEqlLdk0U+Pb1u9g5W2J/wcfSJY/bPMCqjM1tP/o4DxwhUOUGfToNwWKsfO65k9yznkList8AoSi1EmySjuvYRtjn8AOF4wbljD5z5384bTGRc9AkuIECVXYOL5+Wds/70GU4fPcwNUFQ3r+hzQUN9N52P1PHb0bXwnuzUyfhyQsuwjz3KXWBLpU1V/ZY7J4uMVsqYGlhhrWJvEt/wqg+jzIxnaOGk8w4PjNjOVb12Agh6NVMYqbGhoEE9+wLn+NhpgIHTcCG3gReUHZXbXLfakLgKcVMySPdwbPCD8J3q5zrsWdmrh/UGzNYntTYPVsgbmrYuiSm6XXnxzZCZ9hiTTlGZ0tkEkaYdW3eubz/gqfi3HVX9bPs7+fIW26uW0YQvqNN5hfr91vedjFPwtQZiFsA7M+VSDIX6NT5hpqL15s/JaBYbk81CcszNpqUWIaNr+CefTNsKwueBfCY1RlecsMd/EN/jHZPlPEg4IL9e7jAjvN3qR76tXlT5rpO8vo7GsqjSTA1WRbQh9/NFjz6U/OPqeIAHbr7Xvi0Z/CP738HuWy23ZkBwLJjXPzqtwIwU/Lotc2Ge8jUZbWPUVtXbEOgVHifNu3Dlf8tuAG6nMu++PJTVvC920fIlbd57NCcu/NCpiYREREREREREREREYc3kUA4IiIiIuKvGjFvVLE2XWHlc0UobGmHh0hYCrD0ucE5CP/2a1LNPRKiZiHA0AA/LMv4K18Gf7m6+bJdbLdyjNc865WUPJ/1faEAsej6SGCi6DGc7G6ir9VgcrdlqmXXZJF1A/GWExq1ImHHCw5b5YsmJT1xA9cPmC0eXulKDzU7v/Jt1r782Ytad82//DOBUkwXF5689gLFWM5p+lvit1fRlzAQQpAreVUBQO7Mk6B04ALJivheE4Ibd89w4vJUU+e28ZxDwpDYhlZN+1v0gqrj3VTB4+69sxiaZCBhAZWUy3OMzBRZno5R8sKJcEuTeKL+PuhGrGsZEsnCKa1b4fg+o7kSa3viYVrxw6GBj2hL0fHxgwBNk+hyYQFLxOGB6wVIGQpZ/EAh5ZzbcsIMAwkcLzisBbXdIud3MA8zDt+SPfpY6FxWBFx+oAgC6totXQoMPZycDwJ1UO8BX6mm4mAI3VdLnsvK5z0ZfWYGaOyrK0CfmWLtBaez/UdXQDze9D1jvCzAGe8g0CzzTx8kfeWvFyXgNNwSq3tsAqVYnbE4YiDOdMnjz9vmHIjTVvh+kLj9hqbH1A293/oqu7Y8GV+F7yAAXrZAf+DSm7Rws5MMDA/gGjEUcO/ILMetTLOiP04Jwd7y+dA7cVrOZluKg2uptDJrLj6XHZdfB8DJKzP0xAy2T+bYn3UwNEGPrTOWc+mNGYzlnLDfpLoLyoJQLNfu5TIIAmKGLL/iKLKOx3TJaypGTlkaAoEbKPR526y8K9nlZ4YmQtGM5wdNRbRV0TBUHRvdygv8ElHR0xhSsDLTPo225wfkSh6lNoLfwbSFLgWjs86CQTei0vFuQ2J4eHEi0XPOrQneKQv4lKpeR8dvFDlXMgG1w/vivzM5sofEBz5SdhhdmsatUHabTn7la2QveXHnK24+goSlYbZQLpm6ZG1/PLynaqpjuyd57W+dPPGbuVzapoZtamQSYb0puT6FsqN4sy6uXSPyOqhc/scD3k+uFL7bire/F17+Asgv4EJq2xjvej+uZjCZc1jWYy+4j8lcqSqsriSWytgmA3GL3TP5atuzrjdGyjRYkYrhK8VD43kKnk/B9cNMOUVY32tx345Jlg8k2Tcyzbmn9zLUG2sqDobwmTr/tiz5ipLvM1PKsXVs7nhXpExufnCMQsLkLedtJFvy6I0bpC1Jj2lzzrFD7C8/I05ZmUQIWLcsiRq7lus3gF+enQs0wQ2nCM64TmF027zt3Enu5z8h8fS/AebGAKbyHlM1QlApYK0VB8LABSEEjh+E7UTNPk2z80g4Ud5WvlypDU2gy3pX8cztD5A7+aiFHVpryj771vfQb+mUagTCOcfnSRt72T41N05S8hWrbJ2JvMt00eOE5UmUmusjAGzsi5MwdfwgdL33fViWMNGH0jhBQBAo9swW2dSfoFIl/CB8/hTdoBowlHW9aj9vNFciYxsdZ6Wbb6Q8WXApej4FN2C6XJePHEiiCYEmwDRk0+dHtuSTLfkYf/wNU29/a9vnRzA+zt1r1oJpMnDTHaFI3G8dsNIpgrCNSxhzAunhhMWD7/h7hj/90a62tfrnTZz9ad3mZksu8xPNOX7Anx4cqxPHKsJAHi+Aj20+mnc/cHfbcvjAL4p5LjzuBDb87LdMz2TrXH4VoGsCzw8dn21dkncD1Lyh6pmix0zRozeuEzN1Sp6PLgX7ZhxStkbe8fGFzle+/VNe8jfnkc/lWt4Xlh3jKc9+IWc+5RnV72xdIGR9kFUrN+uiO/d9JeNPKyqnztIF/TGD15y2mrv3Z/ntA+Os6Q3H6CsZRSIiIiIiIiIiIiIiHr1EAuGIiIiIiL9q5LwJIKhPGznfUbhDI5NDQl0qXwGH2EO3JbqE8e07KbYQBy+W5JqVbM86lGomEp56xADDSavrbVkLDH4uRKsx9pHpIsszNq2m8xWhk9ZkCzHo4UTJ7XAmowWHqf4ZKUVH6R4BGFqJ2z+IMT7alajE2LIFCFNK98YMFOFEQKdixtv2Ttd9PmFFmtW9CVK2zkzBDYUp19yy4AT9Qq5pVfH9K9+L5wf0x822k9tCCMbbpKIueAHXbpvkxBU9rMzEiJsamVjosgdw58gMQrUWdUoWKHBjiVjea7N7cvFC6ZzjszdbZLbksaEvjiEPl5Y0opaC45F3fGYKB+ZkFPHIUNFp6ZIagUF9O2BoAqEUfgBm2dk7UCCEqpu8fNRwGPUXm3Ewine4PvcfaQKlqn0qSxcYWihQc/0AL1B4zqE5cWKBqz782heiz8y0XKr2PWnNs5/Ivt/d0NQlLGFqDY56vTEjFENW+r8jI6y95FkN2+6UyvuZ9Y8fIP++j4KCiYJLzg3YPBBn32yJghswU7Y3fOK3v9TlHhr3R7HI2NYdGMk+il54zXbum+XO7ROs7k8wee8tPO68x7LVcTl5TYbzjx9mecrm5DUZ/vuG3QjCzCfHXPZ1Mpd+lbPK2y7Fknzn0z+s29/qF184t99OygaQzUIySYAiYekIYCBhMltyGSsLzybyDrfszTJb8kmW+2iur1ieNonpEksTLQMdN/XHsTWd0nzVTQ1Sirr3q4IXMDJb7wotRVgfKv3JlS0OUgpRFbeES7a+T5q90xka+EIgl7hhipkaC/Ww/UC1zcSigP0zJSxNki8trPI7mGKbxIc/Xve5Ihb2yko1SxeUvLlzmDv12M43/qPvwwc+AtCRK3GnBAo4/mQ44RS47aaFV9A0Et+9rKVgG+ZcG+cLfWvbvfmoFn+33McCy+maRNckCdugXykcL3QXLjihQNDQRNv7b6nQ/3ITVqy9CL4b5MbNpL/yP8y89lXguVCc996m66DpGG95F8YzL8ILFJ0khyq2eS/wAsVQMsZMKQsokqYe1hsFINjYl0DKUDSol937R2aKWLrgRU/axLKUzYMTefKuj6WJhrYtYWrsnXW4Zfcs5x/RB0CPrWNokvG8w7pMnGOWpZnKl3jnD+7gZgVPPW6I49Zk8ANFr6GR9wKSSpB3Awxdw1dhm2HIuQerCBrbhxtOlTzmJr97gTDAB98LZYFwKwIVuj+XXMVMG6d5PxAIQnfgduNqhiYoeqqu7ru+Qm+S6sy89Ic4L3pO2/JVtrP3R38o96kEliaq3w8lbUZzRU5dmWYi5zBd9EMhdPlY+mIGfbH66c4eW8fWNXQpkITHvd8NKHo+SVNHVxI0WNcTZ75evHJvbp8qMFV06/rCH3/7a9hx920MDA3xma9cyvDwcNtj85s8r+af22nHJWOZoStti+CS3KXfhE99vOlvLXEcxo7bQuLme7pbrx1DQ3UfhZCsf9ELyH/6o131+3qOm3vudBKMkbYNcqUwyGLPZIGVvTH8QNWJgytUtvWMP15P6bEn8qFtW9sGhfzLUcfzxMt+ix9Ab0+qLjsOgO8rYobA8RROub0uumFmECHCvytrTOa9OpfmmCHrDBq2HH0s3/nFlbzn717Ng/ffi+M6BOXAJzueQAjJi97wdt721rdz/1gOX8Hqnljo7O0HdYJf2UFqm8qylbKWvOZZEGr7BJv7EyRMrXo9g7JpyaHKZBgRERERERERERERsfREAuGIiIiIiL9qpJhLd9ng6kLzCaKI9ggBu8583NJtj/A6HP+5j3DzF+fSGq9IW/THF07ZNx8pQoeeA0G1GDYuugH5kke8TSrB2aJ3aJx/DgiBZQic/9sGwgDs+dbPWfGiCzEmxoHW7UBFKiD7+9jyu98CkLB0zlw/AIQCocK8E3rl1tGOJpSrAQtC0BM3SQWK8WyJxF33s//cc2Bkb9P1KvdOszJXtrntyJO575jHst7Q2D1TZFVPa8G9qUnqrINacOueae7dP8tpa3uxtLlJzkCFTjq9MbPpeol56Uw7wdQlKVs7ILfriqPi3tkSa3qWbkL8QFEqnCiqupnNfyDN+yzUvK/aGM4FKgxWaPZzOzFEs6sjm+1INPyxKAKlmC24bYU2hxcH5hpbO2FeEarMn3h8pJGSBlemTrAN0fbZV+siFk48hp+lCLMiHGanYUEeSQfhvrjBUNJiPO+wP9s8IOlRdjr/aqit24cb1vaHOlqu0qrrX/0i6rVvbPjd1ASThXo3woF4+Nx3/YCpsamqOPhA3616rr2K28cL9Ng69+zPtXTpM53CAe4pZPX2u5g94RzWJSTX3bmXM09ZQ2wgjRBw2rEXEHgB/eMFfM/HBVb12SQMjdUZi/Vf/ATr/vzrhm3ahSyXvOF8AgR/+NYV2LpEK5Uad75Q2Z5/Prkrrmd0tshotoTj+VVhcIji5j2hOBgg6/hky/3SfeV2wtYlRw7GSVla1bX32KE0gnK/YcFS1F/RnFMvLstms7zuvBMpFRudRDdtOYqfXnFDF0fcHteH4uPPIf6nK5dsm4MpE00KFqq5nWiSHU/heP6Cjn0suLea5Z5xEepnP+5wacBcOMhWSoFtCEoVUVMTwWI7cmedSuJPN3bkCtotif/5X/LvfTvq179qvVB/P4nf/hkIhduV9yLf93F9sM16JWrld1XzmXnfHcyne/XdTQgsQ8MyNHri4PsBEzkHt5WgfM1a2LF98TvWdBI33AHQVYaOTs+FftwJxH/2G9yf/hjvf/8HNT5eTj9loj/r2RgvfAlyzbpqW1N0faZyDj3xMItOtujiB4qkbaBJgReELt0LFVOKUDBXZwtdLrMUAlNK4oaGZUjW9MZ47MYBto3nKLo+azI2YzmXrBOO3QwkDLyyu+ov7h2vHvfDU0WO7I8zELdRSpE2jWqgRcLS8RWcf/QyLj55FboQBIRBsVdtm2RfOfjdqnEhCFTouCuEwF19DJ5+a13Zs0nB/75Q4yXf8rHcpR+jFISuwm4HHe9KjyZmSFxfIQTV95jwHIdtXbPXxGYCQuPIo+GyX+M86/y25UvcfA8b8dHKFgn9sXq36XR5LO7FJ65sWF8TcNe+GVwFeS9AKBDCQ6mwTrhK4ToBgjBQou48CFEjXi/XfiVwgwAvCEiZOnu3PcQlF55Z9yDYvWs7Tzp5EwCveOPbeOf7mzvoBh3cd3tnSuRtn039iabDMrnPfgq+9tUFt9OK3IXnkvjl7xt/0LSuXfn7f3tlQ5CnJiTxa26meObJHW3DuPpGCo4XOvIaekftjaHL6nJeANvHC2TiOoMJk4mC29Is4OKrb+WJ11/L5198EZfls5TK1zAmBBcn0rz2Z7+jd0sYoK9oFN3GDInjBRTKxxzTZTXYpiJONrXQrKDZ7dXsntu4+Ui+f/mfuP++u/naN7/J+Mhu7FiCYx5zJmeedyEnrRpASsFAwsTxFbKmRSi4Qeg0rde7CS9E0QuImRJLl2GQo9f+rK9M2+ydLbEsFfYpnMMo+2JERERERERERERERPeIgzGI14pTTz1V3XjjjYdsfxERERERERUCFQpemg3UCUIRsdY8I2VEE25cvmbJt6mAh44/g6te92FSlsaLj1+OvoiLYmgCpRRNDCQ6RmsjkJLA6v4YUjaWzfUCdk8WUEDuKefA2P6u9itSKY65+67uC7wIxmaKVREBwNqBGFJ0fr6nCw5/emj8YBTtgNC6cRCuZd9uVr/6BUintdhq4jkvYvA97+WY4Z6ONnnb7il2TRcWFBKcsKKH1b3that7P/lJpr73PfB84meewdovfpGx7/+Akbe/venyAXDlC99M6cKLeMyqFPeN5rF1yYq0iaVpSAlTBa9OmDeQMBlbAvfr44fTTe+fwZRJ0l5I9K9w3AAhQrE9QK7kLep+niyW2DMzJ8KJGxpremJoTe7dblgqMaMh4UBiCSrBL48UcVMy1NPaUb0Tiq7P3qnFO0QfamxdVJ0ll4IOsop3TSdipHa0e/4djPUALF1WU0gvFiEUd+6bPaBtdEPcCNPKdsRN1zHwna+B7zH24lfBKafX/TyQMOYJ/dqzoS9OX8wMJ4Yl3Ds62yA0P6I/gaEtbNEnRXj+i2WHtHaC9a0T2QO+TrUkDI11vYkl2x6EE/OHUnRfEbh3e8vZumzqdHZgKO7a3/weyPzzB+m54tcdt9YVUdD0lTdV015X0ETospptImRLWRqZJ52GVMEBi5oU4BgWl/77T4FQlFQRAM7nCf/5Edbd+pcD2qcCfvP8t7H9lCfgzOR4eM80Rx+1gpzjk9QEnhSYQrBz1ySr1vShgBefvobhlM3u17yS2HV/AdoHming61/8NZe84fyuylpZd8fl11W/648bDVkfHpwosqPJM1UKGoR2vTGdM9b0sHHePVjyA75ywy4ALjiin839Ca7fNc11O6eJ6ZJXnrqquqwX+Nw/lqMvbvD9//k8X/rEhxc8luvvHyGZTB7QM0OXgpzrsnU8z9oLwva04/NZIyitJWFKErZOwtIX3FrR8dg73ZnIu5PnW6ftllKK/GOOW1DEWxHBduMUaRuS8fPOgX0jHa9TIXHzPQ19j9qsIc1eywxNdCRQrFD87Gfwv/lVKIuxOPpYEt/8XsNyQ2mLuKUTBKHgdiBlNyzTjPkCYehOJNzpOq0Et2OzJWaLHrmv/Af85+fD4zQM+LcvkTjjsQALZpap4xP/SuL8pzbsr9tnT6cC4fnvNKpUAt+DWLzOtVzXBF7NdU/ZOpm4QbbkMZlzEVAWCHd29ndO51nXG6+2JZWhI1OTVSfPwZRJzNCYLbrMFj1GsiVyjseqHpv7xxoDTzQp+N3WyernY4YSXHjEYNO+dcnzGc+WWJFpfI//3YPjzJRc9sw4bOyPMVVwGS+7iW4ZjLMiZSKAP/zvmexc0/huuv6hgBd9L0Drtp385RUk2jjZ2oboKHNHJ8vNb7vMmvtaEI5HzGem5BA3NErjY3ivejli985QBrzlSBLfmnPbX+z7jBTwqwdGeWCsUPfdxv44q9ImgwmzWj4pYShRbiPKlf22kZnqehlbrzoTA/z5skv59w+9c8EyrN24iV/96daG70dmCwgBCVPH1iVSCqaLHkXPp1h2FE/bOj22Tn/MwvEDNCFQam7soat2oAXNng3++H6KTz6n840IQeKmu5v+ZGgwNZODs05tvb6UJG6cG/dckbGwjIV9rJRS4Zhri/GDQClG88Xqe9UJy3vq2pwKcVPiesGC/XdTE4Q6YYXb5NFrl5/xtXuY78xfSyiwbxyrni657JquD3Y7almSuK5T9AKcz34K95q/IPwAecSR6P/wj+j64ny/5r/D2kZ7gbEUsKqvfgzN1CIX4YiIiIiIiIiIiIjDGSHETUqppi9lkYNwRERERMT/CaQAqYFedkeqCHIqDn5R9Hvn5HK5g7bt9bdfy81CccaK1KLEwVAWfGsSIYKmg7gHSkDoUrGmv36QVKmAiVypOjic+M0fux7AP1TiYFDk5gk7FkpN/Whh0cFvQyvZ+dM/zX1+eCs9P/4u3uq15C68CBKhgCI7nmc4ZdOfWNiV64SVGbYsS3HXyDR7Z7p3i6tl+bvexfJ3vavuu4HnXszAcy8mm80y8rKX4Wzfgbl2DcPf+Ab/ceM+9s46MOvw+62TbOyP0RszyNgG+7IOCVOjL24QKMVU2QkwWCKl4gNjWTb1JxsmXMdnHaZyDit6WwjsfZ+JrEO+nE6z0wnMTsm7PvePZxlMWGRsnbwbphXtRhgPHFxrsS44hHGeTYmb3TtCz8c2NIZ7LMZmnQYxgBRgaAcuHF1SHkHX2MOZAxUll7zggLdxqJEddByXX/IczJFddd8l3v9mANzBIfZ886eL2repyeqzzg8gZmg4fr2Ic6rkUvLC505dja0ox8r/CGBtJoEmYTTvVB1BFfPsRP86ughLjqG1FgG041C3IukrftPV8pXL3Wzy31c0ZEyo4PpqScTBFfZsPr76t1KKdX0xHC+AsuB1Mu9S9AL+9NoPsu71rR0JO8V67JksT8R4YM9eUpS44LghfnvnPu64bx9OyeWEI4c5YvMyMgmTfeM5skWXycBZUBxc+9tL3/TUAy5nq51t7LWYKXpVQVPckJyxpofBuMkft00yMjsXBDZZ8IjpjUEEtZtdljAJlOK6ndNN91lpB3fdfm1H4mCA044Y5u492Y6WbcXumTxjZXG019OLPj25wBpzzBcHD6UtFIq4qZfb1YVrbzf3b8kLFhQAdzoOsS9XZPyXV7PqGWehuXPXcr44tSImX1VyiBs6egeBcb4fLEocXMGtUXsLQNQIwJsF1LQ7h7oUJCytGvCZd3zsN78N3vw2oH2gXqVO5h2/7AbdGa2chefTrhe42HbdcX1G/uaZcP880Z7jwBteSQ7geS+Cq26Asx+z8AZf9XoS5z+1aXmLXoBtCPoTJrmST87xuxJqt2J+901YFtD4rqwJgVdTotmiR67k0RMLA0gVdCwOllAnDtYlPDCew9QEK9OhYFcpxa6pIvuyJbYMJLA0iWVI/EBy72iuaYCWrTfeL4FSTYMafKVI2BoK1TCWMpw08YIw+Gqm6LE8ZZGJGRTdgIyl0R83GIib7HxAMjKscM369fMJgauD1m3s7raHYJ5AOHflH+DtYUaAupG8Zz+XxAc+0nQzYoEX3tp+uy5DV+yKq7Bf7kJW3KqVUgQoCp7PnpkivoKBRJqxr3yPhKmxtqdeSH4gjBfcOnGwrQsGEyZbBmKUvIDRcjB05ehqn4vzsQ0Nys/TbDZbFQcLICVCL9esChqMfrc/uJUPvuN1fPKz/wmE9cTzFcOpWN1yAjhpVYaC67NnusD2iTxTBY+SFxDXDZRSPDCVo+QFZGI6mYuefABnZo7cpd8k8aKXVj8bEuhfBkcc1dgOtWDg9nubvrelLI1M3KAnZuLd8wDTRY/sk8+CiYlwgWXDTR2MS15AmyRtQHi+8o7HvpnW10wKwbK4zWDcxleKZk+/mCEpOAGaJgibnrDuFd0As+yqq0tBUA5KqwQHV4Iqa487bFPrBbbtarKhiaoDcS0zxfCY9s46uIFiedJk22SBvje+HP3eu+qe8/7W+/F/+VNKQ8uxfvxLdHvhQBhDC2u8QDQ8j4tugKULhBA4XlA3hmfrkv6kWTfuLUX0WhgRERERERERERHxaCYSCEdERERE/J+iIgiORrQWj3vrbQdlu5VL8sd7RzlheRoAx/PxA4UmBKaxsBMelNO1lye6LD10MenaULaD5SeyDoNpiyBQZEse49lwcqlO5DSwrGMXYZHJHDLdoeMFDY4uzSa22nG43kJLdv7Wb2L67e+f+3zZ91n9pU8hgb3l/wBIJjn2nubuKRBOLJ28qrfsJtzc6eRAM3okk0k2/ehHdd8Fal/177wbkHMCdk1nESLJYHkyNFcW+CRNjazj103uHwgFL6DgeVha/atGQGiINXe0irGZEqYuyTv+IREHBgr2ZUvsz4Zi/lU9NmnTqAoDFjs5OVl0SRnaogMbFoOvFnZ8OZjkSz7z5jkXRczUWdWnsWeyUBXQxE1Jf9Ki5AXsP0Bx/VKy5O3eQWjwpQifQ22pedgI6t39FOAH3dWphQ7DqhFbVPtgKuyT+YGqpltu5ooty6lT/aDszqRCdzchRHUbCsVUcfERQStedCHGRL0jvgImXvpasi9+RfOVFqgMay44vbrI/EUVYIzuY80Fp9c5gnbKvaNZhpNWWaQPhSbRUF6gGpxfW7EWyDpeg3PVfKwmopkD4a9Bau8soaP4wWVpyylFeB/OFz2mPvr/lmT7la1e+aaP1X23Z7pIqWafcUOyqS/G1okCvqah+f6i2mkFuHac3+8LmMztw7/1djIJm21bV/CEY9YQ1yRX3rQNkZthwvX5w9X7OeXIIT70s3v5zOf/loU9Z0MEoJXb186kqDVllPPeg5pdUiE4YXmSO/flGM+7PG3LIGszFkJIXnKCzX9cv4tsjbh7tuRBqvU+v3/HPgbKboswl1p+7nhCQdjLLn5GF0cCTzr1CK66+QE0obD0hd3Yq22pAF8FTBTmBH27v3s565722M5So3/kE9U/DQ1W9cXrgyY6DBjr5r0yZsglC8BLmjrjeZddP/sTZLOsetFT0RynWhUCIdj5ua/Dpi0A7JwuIoAjB1MLBrUcSFey0ueofVWv7dN3u+mYqdGXDMWlSinGsyVKboAmQydNIWj6zpCO6VjlsliGhtGiT97qfbsbcXDl70qgTSfH2Gq/9x93LCwUgP29S+H+e0jcfA+55zwTHn6gcRnTxLzyGgy7xs22yU77EhamoTFdcPEDtSTO+30Jg9mit6DYuJlmuxLs0SkJS6MvYaJrgvv3zWBqGkII7h2bpeQp8i4MJnz8AK7dNc29ozlsXbJtqsA9+3OcsbqH4ZRBX9xgpkk/KVBwwvIUhha61g8mTEpe2FbN7x8bmuDhyRLJosfaTL0b+7mb+ym4ASMzBR6ayIMQXPnQFBDW6y2DSXSp8aQv3Mb0+47j9uOpEwlnE6AvomtbcZyu0DZg/UffJ/ej7y/oOtwMhSJmCLyA8nVvvPae8hkvuEzknYY6VqkrvTGj6fv3YmvkjqmwL6tJwXHDCdZlbKaLXnXcoxOEgIxt0GsbuH7AeN7lNU86jgEpuTie5LnxFHZZEB2g+EU+x3fyWbbXBOv94Nv/y0c+/R9t96MIgyvips6mwRTL0zHuGplmLOdw7+gsa3vjbOiNc89olqmCR09ZZHsg76MKcL/2Ffpf/jKCINySUmG9TnznR+Re/VK4qX3218TN9yCEwjYEfjB3LVf22pi6BASpcgBSOm4y++drmS64LZ+dpiYYz7r4vqI3adYdYaAUQRAKdpUQxC2D9YM6fqAoOD5TOacxQEGEo5pSCBSqaRYFBXi+wvMrn8JxlTACW6EUdf3NsCzhs2d+UGvRDZDMPQdEi4BiS29+5YRQ5FyfB8YL7CpnJwiUYu1FT0B3iq2v9769lB53MvzxevRksuHniqA5UKommLH5RQh/n/stZoQO1wMpq9p/0ETo0h4ZrEREREREREREREQ8uokEwhERERERERFdYZx4wkHfR6AU1z88ztev3UHe8TlyKMl5Ry1DAaeu7cMLfHwFppRUpK3zJz4rk9hdi4M7JFvy8aeKgKqbDCvUODCI3/yR7KnHzKVDbUU8zjF33N7gXnSw2D/TXKjaFYfpoPDBOH+rLzi96j7ScNjZLHeuXoP15f9g84UXNi+TEByxLMXKTIw79840TFAdjAH2d5yzvvq37yumS+GElS4EN+2awC7XUQgFeilLY3aeq/R8x69VPXboaGNq2JpGoBROELBrqog/T/ywdTzfMqUjCjzfZ3TWCcWtTdKUw8GtYpVS7ZouYsgSSUtnRYdq12aOStmShwR6uhAI65rE7VKIOZ+iGzrTaVIccvfVkh/QvcSpOUIIlmdijGdLFN0AW9fYN1N8FInvDh8qk5ePBEa5LgaBwg8UQgh0LRT0tHOCrgjENBlOSApCt63QcYsGEXzoLjd/0rb7Y45d9l2Wfelfq5/n1+T+b36Zvm9+uamIt12tX33hmVXRUDNqv199wenkr7q5wxLPMZJtL5zvRo9228h01/tfCg7TbsSjl7YndLG9o+YbVTTvX5s337SIfTTHlxqnrEzhK8UDYwXSlsa+bL1rXN4NeGgiFAN9/6Nf5wXve8min0o/fdzzmMy5nHPkMqYHnoDm5Mkne7nqzhHGR2c4Ycsw07kSe3ZOcvFTjkQ3dcz4NLrfmRC/lgCautq1Y+eXv9nRck5ZzATw8/tGOX44xVDSYGTWIev4rEhbTJSdl9uJJCEM+NpZE9w2X9wnhKCQ694NeGTPHnQZGjPmy/0YIWhw444ZEtdXVUdRpUAgOW4ojQLu2jfD8rRNz013MX3hubBnd2vj80t/SOLIo6sfQze8RdrgddHAlua58TWjlZhoPnXOpskku2ozn7RAASXfJ9ZJKnJN60xoPY+F+hxFd85V3NJlGLAtaP6OQL0Q3Sv3J2oDgFth6RLPV+hamIGCFrHFC53p+ULgVtuoLLdQm9Nuf/c/9/kLi4Mr3HoLuWuvJvHD1tkHTF2gifB+qlTT+dfH8wMsQ0MpQaBAVixfDwApQnGdu4j60ykpS2MgZdW9OD80kW8ILIOyk7CULEvojOYMJvIuKUvj/M19eIHC8QJmHb/prZwwNB6/JtMgWi15QTlQKgxeL/kB26fC9jFsm+autaEJ8iWf2ZKP46vqtirCwj2zDt+4ZS+vOGU52yYLbHzNb7E+ex7Xny4RKhQK55KCvUOwek9358nWJVKGQco7t2zqbKULn4h3zU0kk8m6gIymAYcChJoTxusa6Fo5aI/6+j6WdxmZbeyvJgyt2rc3a96dK/VWkzTcOLoM+x2VDDOuHzRce1Fe7qx1PehlZ4jpooelN2akqb1HKpiaZChlktB1NCkxNcGyhMV43uU8KXnPwHI0AVZdMIngWfEkT48n+NeZKX5cmLufb77+Wk4+7YzGc1iD4waYZTFtwtI5bW0/+2eLbJvIkbH1hiDApeg7C9fD8xWr+2OAIFAB+6dLFNyAxFfCvob/zjdR/EON06+mwRXXsmXNIEXHYyw7J+q3dMmKXrtp6aQATylGskWSloat6XXjtpV7wtAE0wWPmaJHJm6QtMNrUCh5xC193oBZ+L6ZtCVJWy+/Z/qU3KAuw0UlCNXQ6Mg0wnFDE4VWWawsPRxzLrgBti4p1tSpAIiZoTNxs93MZRwJgzIU4TtugOKufbMAnLIyRcyQ2LrGCW98XntxcAWlKJ33ePRrb226z27HBCQwkDawDb3ONdiQZefg6OUtIiIiIiIiIiIi4lFPJBCOiIiIiIh4hFDlea7KwLQUj45Bt0QisfBCi6AykHrK2gw/vnUP+2ZK1Qnhe/dluXdfFing3RfoVIajDU3g+QpDE6zvjWNpGqYh8f1wInGxmek1KfA7mCirHXCNGRLPD3CDOQeGto4tlX2dcDxH/uxnKKXKTogHuwIoehMm+9uk5vu/wtFDKYqez/aJQoPAtUJFHLzQVSm99nU88Iffs3nz5qa/x02duKlz1gaTO/dO17kJO15AthjW6oqo7E/bJii6PgGwIm3jBvD49X0dH1vhppvY9pyLm4oYlpX/nXzGxcy+8V0AJKSGFBA3NFakY2giFMIGhMKMhKHh+gph1Z8JU9Poi/vVdJ217J7OM5RsTKXp+AGTObetYBAOnbukGygmCy5DSQuJaOpiVEugVPl+nVtuuuRx4+4ZnnrEAHaTlN3zsQ2xZI7Njq9YICPnQcEPqDq5LQVSCgbTNkoppvJOJA5+FGBqAimhVA6MKXn1ATMo1VGq6Epb4AdQOEDRfMfcdF1VHNysCtd+18zpt6UbYzaLDIKOnuSCcCJ24uFdMDTUwRqdc5h3Jf8qme8odjgx88Sn0HPFrztevip6a1GREqbe3KHaPPCnUWXfu355NWlCp8XHrEwBCikEu+e5ymsSJifyxDMDXPXBL3D2R964oLhv/v6yx57EkW98FStKHtvH8hy9ZZgdW3djCFi1vIfZ6TwT41nSCYsnnLyK0mwBP2YxMZHreD+t9r3QutVwiNUbO9pmKGCZCxa5budcAMBgwuDcjX1YmmSy6DEQ7+56aU1kze974fldbaNC7rKfoD3tWQBVZ0lTAyll1Wm+4DS/nyrdx7W9cR6ayJMteRS/8WMUAuOrXyTzw0sRvofW2w8/+gWJJs56Zd9EFnP1Og0+Xeo2QXbocDyfTo9QfPN7qBc9Z1H7WIjKKasIqua7UVdI2Ro9NfVSl4JlaZui6zOdd9uez9FZh56YXnUfPpCyipq/oXmIhWrxdzc4117T3QpveCXcfE/LnwULC7ZD0bVPzvExZOgK2XaDHRzcTNHrqN+uFnmmeuM6mUS9syjAhv4k9482D1JwggCFYnWPxfHDCfxAVYN0Sx70JwzGc43OxSvSFn7QLBx0rr8qhWLHdL7qyJ5zfaZKLr22QaBCsXRPzGC25JNz5p6VQ0mTbZNzYwA/uXuUM9akUckkm953LeafvwG/+yI71wocE7avEazcq5CdnrYVKyl6ASsyFrsuuaTDlcrH9thT0W9qnhWpmZi2E5q5eKcsDU0I1mRiSCGYLbnszOVx/YCCF6CV9eonLk9jyNDdPBR4husHCrzyu4Kthy6+leCS0PlXZ6qmf5KytOp1H/zYuzHuvQsv08fY3/8LyTUr6Y+bjOUcemydHstoaGcFglXPOpv3pvuIyeZtsCEEBoK3pTJkVcBvi2Hg0hsuuZhr797V9hzlHI9kzCgfW9jPWZayGUiYFByfyYkOAwi6IHfSaSS9UEwbM3WkkCxL20zlHWaKHkrBqq/8F7Y5N6ahVBisoWsSYerA3L1T8gKyRY+kXd+nGM0W2TqarQYtjebC6zGUtDCkhqWHLt0w50KsFEzkXCZyLpYuMTVI2O2mr8OACNvQcVynafvnBaGQXSqBFzS+m2oizFZTCbxu9oyfe56r6jHHTUm+pp9ScAISliRXqi+DrUucmnGfkhdwx75Z3EBhaXMZrJRSHLMswXJLUNi7u+Nnt3JKuDffhHHyKU3K2x1rB+PMb2dl2Tk4IiIiIiIiIiIiIuKvg0ggHBERERER8QigFDh+/aSDX3bdMLXDXySMroPXvWPWQkzG0ty0fYpnnTiMMgz2juW4c9cUKdtgRcZipuDh10zbOV6AEGFazPvGcmwZSByoAU643UVspOAGSEE1RXon4mAFeLfdzh/f/Q9kX/46VmdinLAy032Bu0KQsHTihjcvpe/hXumWDgHETY0VPTFsQyNtG+yfLVHy/OoEBkDvs8/tSBxcofSkc2HnjrbL6JrkhJUZBhIFbt87TaDCejw6GwpsTU2Qd/xwgkgKZAAPT4QpUe8YmeWcDX0cPZQie/XVbHvBCxtn66QEy4JC61TxlePp+9kP6PvZD8gfeRzxr3+LlGUw34RTQ6Bp4Vq6bG4w1Srt/FjeZThlo9TcGTQ0wch0e+fL+eVcLKLLLdw3lmVTXwJDyqYi4UCFjjB5z2eq4LFzukTG1tkxXeT+0TwK+NP2SR6/tpfYAiLh5tPOi8f11SEXp+ny4DyrhBAkLYOp/NI/Yw6UpZYsSxmKYh9taGLO9ZfyhP1858fDnTXvfzOwcDtT+T31hU9WAyoAZkseI+V2e3XGrgr+V73gqV2XZdXLn8nOJi7FEd1zqPvPLd1KHwHa7X/q3R+h54pfdyWHHH/h32K3+K3g+vTFDNQ8udfYS1/D8L99osM91KNq/t3+q2trXAyrf5GJ6eyeKdU97ySwdV+WrfuyQJrvv+WbvO17H2HD3geattnzn77eeU9l6p0fwgqg39LRXI+v/vR2juo3iKWTFAPJwHCGjO+zvDdOMmHg+nDzXSNMTuUXdawCmOofIjO+r+01qZRz5Kvf7mLbgvM29VF0fRACMU/u6AcK29JYnmzVT6k/aycsT3LsUIqSF1SzHggRCl6KbsDY/n0dl62W3PvehQkBYecAAQAASURBVPb378H83JcxHnc2ELr6dtOPmSyEbXBFDJY0JdmXv47sy18HwOaBBKZsfpwFN2BkqshwprPsEbWoDpVyxQ4jVTu9J6UQ9MYMJguNosZ2mB0qe+JHHk3XUrR//UK3a7QlZuph8G85FXvVedXUsQ2N0dkSuRaZR2BxIsZmzGazbDv5lKbvU5nXv55V73tv19ucX7TpK/+4qLLFDImvFI6nqsEAUBFxLfx+MZFzQ2GgEYrWck4QOg/L0AXW8YIwU5MWiukWOqWVALFO6DQGrOL4uqrXxtBbv4230GtW6Y0Z9MVE03sm7/j02HooiKz53g+oupr7AU0D3dwgaAiS2TVdwPMDVmdigGLXZBFNwNpMnDXlZY5aluTB8cpzIww4tfS5dm/9WS9n80VvQCuLVHPZLJz9mPYHWUPi579jdZ+NrkkKV13V8XphcZa+H6/XiG1NTZCydEpewFTJY3k6dDnOuh4zpblzWRlrUIRjappoHZRRLNe7Sp9ACOrEwQBi672sevVL6mqQMTbK6pc/CwGkX/EKjv2HD5F3fPbPNI5RCCHQSyX0hSobEJOSd6d7+UOxgA8U83N9hLAaCxwvHM1USrFntkjeCXhKKgyQ3VfO8mXpGgNJk4RtcOzyHnZPFzsKuOwEAQx+8tNoQrB/usTqfomUEikFfUmLtG0wnnMa7q1KVhigaZBzvuTXCYSLrs/te6YbnumzJZ/ZUp7emEHa0okbesugy5IXUPKgOJFnRW+8nMWg9RMzZur0EbZx8/F80KWqZrtx/bD9tMp9mUo5Qxf6+n0YmmjIZqOAvBNUXYWhfAupOedtpSg7XddnErh7NMdV26ZY32tz/PIkgVLkHb+azSv9jr9DAsUg4MvZaX5ZzFMIFKaAM0yLt6Z6GZiXFaD4rreg/+5PCCEWPSYUN+fa2nJ1rZqYRERERERERERERET89RAJhCMiIiIiIh4Bqm5QTb53/MNfJHzUvXdwz6aFBbCdUjkXH3zNFzhtfS8nru1l+1SRfI+N2hkO3goEQ2krnCzwA/Ilj71TRbasSFe3M15wGEp0P9G7VAQqnJjLnX92R8tXpvD6v/0/ZF/+OvbOFDl2uSpP7h1MBINpCykEEzkHzw9QgcIjCEXXEKYerVkjUPUT4jOFw0+81ynnbBogac1NYKzKxFmViQOh6GUy79AbN3kwnz0oLrZCCFb1xknbBjfvmqz7TRGKiLf0J9k2lefaHdPEDI3euEHJ9Sk4Pncddzxqaqr5xoOgrTgY6qdVFJC49w646ALUz3/fahW8QIUuL00mgNOm3jR1J4Si26MGUtXJPm0J0th2SrcuVUqFKWmXpy0yZQehSp0vBQEPjoeyCUsP05rumSlyw6565+T7RvMkDI0zVzempoUw9WTRCSehWuiqF03BDQ6pSDhu6hwsSVwrR+9HglAvodg5XWBtuZ1Yym0fvGTMS0tFEFZwQ+FI/jB1Su2IkZGqW3un9P7sB3UCYTeAe0bDif/emIFVFjNpXnfu/BUX4f+LHD53+dLgKbXEoR/d0r5Gl9ZuwNr+0IJbqbyj5F7+upYCYcdXTDQTKV7wN/Bvn1ikLyvs++fPUzzhMS3XHYzpPGVzL44XEBCK14qOx9XzDDW//OJ/QMzkufnBMSDse7xz7M885r4/YbpFfMNmx8lnYbzrPQz32myJ29y0N8v2yQLbHhzj3FPWIATsGc2xbyzLpg2DpOIGUgp6LZ2UbTKxqgfHW1wL7ukmP/noN3jmP7yKvv07G85XbR368bu/wOlrNjb0ndrVs5Sl1Qh4are88FXRpeCxazP0WBqb+xN1ohZLF2gizIBQ6WuYtkmx2L1QWgujz3D+7rXwb1/EOPuJDQKcdghgct67SNbxGUgYTBW8ztzr3QDfD9C6tMbrVKdlamF/cYl0XQAsS5jkHL/OjXAhxgsO/TGrtfN9DfKf/5Xg3W/vbMOaRuIJT+q4HJ2wf6bEsrRVFoXOoZTC9cL31IPNjne/h5lLL235+9SXvsTUl77EsW2CQps9C+Z/t/v//b9FlW9scoZEMll1WtVl2MY5nuoo6MzUBI4f1C3rePWjU4YWBmAvVGOk6C5AzG9zM6Rsjb6ESaAUupTVYNlm7Vb1XLbYnBRhMDDQUlBfKIsCJeE5SVp6+V4V1WBxAcTLguza42wluh/JlhjJltjcn8DUtLDZrimjqWkN9+5UwWMgYTCWc0HUB7gmkklyl/4QOnD2Ttx8Dz0xHV3rJry5ntwrXkTiv+vrfuUKLKYZk0JUxwh64wZ+oIibGscuT+P6AXFDkvEMYoNzgRy+UigFmhB4qIZz2IxC2fnV8eufydYvfkzv5/6pehzNmPnv/+beP/yBzM8asywoFLknndnNIaMjONuKcUWpQDI5N06ZdTwenMjTHzfqAtIBdkzk0ISo3pOO51WFrNmiR9LUmCp6BNBV8HpTNJ2EqeP6igDYOV5gVV+s+hzUdclQj902EGa+gBbq391nCi7X75hoGyQzVXTRZJi9aqEjcn0YnSmiCUF/ymqZ7cnQJWnNwC3vN+f4dc/f8GuFJkIRb9ELGsZNAspuuTVVqRw70ZRSTdupa1ByGpeN6bLqeg1hMIEu4KhlCXQpsHWN1ekYN+2ZYUXKRLvnLj47M8k38/Xu6AUFvy4V+XVpL6cbFp/tHZjLujA1wf58kbU98UWPBfXXuO/rWiQMjoiIiIiIiIiIiPhrJRIIR0REREREPAK0G2hXlCd7DuMBuUQiwaYffIetF7/ggLdVOQcPZVYBcP3Dk+ydKnDaxn6KBYctw2n2The5Zec0ti7oT1r86o4RfAVpW8cPFFtWpBGBosc0UEq1HDQ+FExd9mMY3d/x8tV6cNN1eKeczniuxLJUK0nG0iHLtiDz07DqmmT/TJGxnMt9o7Mdu18djpiawDY01mRi7M86pGyd3phRJw6eT8zQiPXMicy7rUl3rl7TdsK4lnTM4PEbBhibLVJw61sDIQTLkhZ9CZOR2RJKhfXEeuZ5rcXBi6B6fHv2kPv5T+h55kUoFKIsvKlFtnClEkKysTeBqwJU2QldCvAUZEseM45HwtAXLV4NVIAThJM5mggnQQ7mPV7yAu6bzZIuu0pVXGZqfwc4aUWKvTPjzD+im/fMMpAwOaI/Ufd9zJQt02UvBYfaQbiZe9BScSgEIAuhS0HOddk2kedAzXEtXaKJOeGd6wW4KuDhySLrMuV6IqBpr6De/HGOiouSAsTcQsFBEFfbRr270qOdVa/tru/SvLWZO8+jOYeN/Yt/bgAMvuxZjH7jskWsGXG44Hiqmg57YZb+Pl2o3o18+dusfN756DNTTZevLdGOH11RXWYgboRNjWpcrra5CfsO4K5cjbF7Z1dlr2zGPfExbU+NlCLsZwiBBmiaIGiiYDjjiEGmnIBjjxrmquu3saIvxnf6nsIvTnwaPRQY37GTniOOZst9o5ywsZ/MKp21GYu7d06ycf0gKVOyrjdGvuhw9/YJepZnSOganlIE5YwKx6/swSs41eJ2c99/631fAeCn//BfADz/vS8kPj1Rdz5uefLzuP2iV7Kh167rgyxE2taZyLd2mJ0puvTFzJa/J02dk5eHoqbabqAuRZ0QpsKH/unfecfrXt5x+QAS8/pwzlvfQF1oxRFHkfjOj9puQwG9Mb1BJDyWc9EE9MUNNCHQpWgZMKYUjMwUO3I1rRS5L2GSSRhkEnPvEuPZUtP+XU9MJ2EtPOyuqv9vrEWqUtAyY7MljlqmgWp9qzTeowpTk6FAuKY/IWru60oPP/a0p5GdGqf4iX9sX2hNR15zCwXPI2MbHYmPaxGAIUGJ+UcdlqTo+MRq0tsHgUIIGErPvbcq5sqtFPhBUBZHLp6RL32prTi4lm7e+eZTcDyCXNd+zSEP3AcnnVKNGfBauNy2QkqB47ZfvtM2J1DdiUdbbTZhSQZSFiCqQVOt6lTttxsHkmzoT9Z8o9g2kcP3FV4QjgmlTKP8S81SKmwVAhVUj1VKgT3PNlUxFxAXM0Kh63TJZabU3sW7VZvj+Yq1mRjbp+qDecdyLqYm0EVj/pvEkUfDzfeQe+nz4K47Gjf6jItIfPjjQNg+gSCbzTYu1wn33NPwlanLlu9lhibwA9U2CKI3ZlDyAvaVs24Iwvt1MGnhBwpPgSElugyF2aFjcNB1XzoUddeslc0yvIA4uIK/bRvj734HiY99su77kWwRc2qqq0C+hJQ82Y5zRanAD353LbomGM2V2FN2B24W3DFZcOi168fkal1wV6RixAwH7ctfR722u+dtQ/luuAO9ZmwjAHZMFLANyfKMTeVstRtraeamrAlRFRXfvneq7Rhif9xgKGEvuB8Ix/MQoVsvgOMXWZGxW7ppCCEYSIfb7leKguMzkXOqxxszJCU3wDJES9PsgquImzI0pvCCpkEQmggDM+KmRjKmM5P3yDlew50voOH92dQlSVtHF1DyfPbNOqzNKAbiOoFSvH3nw/zJbZ9x6zq3xMsn9vPNgeHwi7KwPnTSbn1ObUOiSZAIEraOqYX3t2LOOVmLXIMjIiIiIiIiIiIi/qqJBMIRERERERGPAEKApYduwc0G1L0gHEw8wDmug0rmcY/lqK33cM+Rx4HXvZts7WHv7FnOf73mn6EUDp7unCyy88bdnLo2gxCK2aLL2r4YgymLn98+Ul1vpujxyzv2ce1DE5TcgFW9Md70xI1tBaAHnQ92n3IUYPXfv42dv7yarWNZeuMmxiN28QUpy6BQKrFlMMVte6cfoXIcGFuWJdk8mKp+Xtf/CBamDbomSccM/MANnZpqBuMThs75mwbqls+NdS4+7wYFiA++F571N9y+dwaAjK2TiZkkDC0UyXoBtiEoNplUFkJgivo0zjpgxSSuCtfrVlyYd31KvmL3dKFuksnUJD12+BqjS0HaMppOVB2IiDhQoaMTQNBiNjvn+DxpUy+/2zrZ8NuVD00QMySrUvZcqseDKA42tO7P74FScIODFpDhd5qD+CCgS9hXdgBbKgRzAgMpIO967Jwu4PiK20YOrI2tOMhVWN8XJ64v3Wv+oRaeHwqEUzzwjdSc8wfGCzwwHoo9LqGVzKs91v6RhRfqgm4d1P96eGQ9fB/Rs95Bpdv9vV+T/tw/k/lFc/Gl19PL7u9eXv2sBIw3SdXcjsmv/oDVTz0DqRZ2n6zF7eunN2YwlnfDtMaEz/HemMFU0a1+fnDnJL+8fgdxW2fTygyOrnPEUBIpIGFq2IbG6HSBvoTJ+O6dbIhlEdOTDBXzZCeKZI49mpPPOI9sIUALAn57ww627uzh/h0TnH7sclJpi6QUpBMmd+8cI27r5GeKHLexj3u3T/DHu6fpSdvk8i7P+8SruzrGirx2ePMakqZO3vXRpOCBb/ycJ6zrQ0qYLvpcvWMSP4ATdMG6jF1Nv766J1YVdQqhqgK6WldOQxNoMYPZUnMXXXOREaimLvCcue1ZusQPFE995nO6Fgi/MJ5qv8D995A7+Sh44pNJfPqzLRdb3RPH0Irsz9Y7t/sKJvIuA3FrQeGkBJwOxZWCMMNKrcenAny/uaBSCBpETK2cZWv/3xgLNLcNN1C0M66WZdFSfXmai7tboT33JeQvvBjtOU/FnPdsCoCdn/oyHHsiTOTRBcQH04t65sTKwUf1KAquQ2/CwK4RCGuarHPObL437YCfAGMf/0RXy+/94pdY/obXN3zfKghcEAZyjc6WYMNGuPWWrsuYOOmUlr91cne3cwZtWHaB37vpI+pSsKovVo1vqyW8bp21TXU1W4ia20Ph+YqYrlNUc5laLE2jFaYuyu7JC1NwA0ZmC4y3cCTulN6YyUi21JB5x/EVDgpDk03brcQ3v9dymwlL0hs3q21FMplsuWxbdK3umlb+jhkChSAIVNVdGcJrGiiFpUk8P2gQgGsCTCnYX3POFGFg3WjOYW0mRtI0QqG5gKmSw0TeoeAGnLg8jaULpBC4QdC23Zsrj8TSJeszcYrPPKvjw1aA+uXPmfn7j5OuGUd0fYXVerWW9JbHJYaHh5nMz4mD++MGQsBsqf5gxnIuGcts+k5tG4IgECxLWHiPOY1pw0RzncW5CF91Q1PBKkDRDd3uOxGGzi9mb9wgkwgDj3ZP5atjKK1wg/B5JETr8U5BKGadX9aSF4Tu4guMP1QCyuOWjqEJJnNOXbBrwQ3oielMtyirH6i27ui6FgYM9FsahqYRtxQzxcZtmbpo2M6Jy9PcPzpCAIzmPFw/oOQremMG73rl8/jLAuLgCvd6Ll/PzvCyZBo0jaGE3XZcZk2NU3QtsXnfReLgiIiIiIiIiIiIiL9uIoFwRERERETEI0jokNH8t8pY6OEsEk4kEpy68yFuXLmOjuyXaqg6/gCrp/fy8X95MQqYMWL870cuRZOC0dkS4zmXpKUjhODG7VNNt1Vx2LhvX5b/uXobb3rCpkfERTi3WLcWQAThRMFE3mXPdIG1fYkF1jh4xCyNFb02OycLCy98mHH8ih7ihl520Hl04CtVTePabpIy98QzDloZKvdjzpmb2JgqekzNm+iQAjb3J5sKcptutywcLrqqa6Gh4yseHG9013L8gNHcnBhk72yJuKmRsXV6TKPqjt1tC5A0NWxdMtbGeW8+QaDY1GezdaJecOj4isvuHuWCI/o5ZlnqoAosdSnapuw9mIxMFxlImuVU0EvX5maLi0vbvlg0GbqvbZ/Mk3Mb960J2NSfWNQRmnooXtBEKLYzpSBQsnrPH+iVq52M39AXb5n2eDE4vsd4of58qIY/Kh9V/UKiybLlA1bM+6HyXasTUut4OO87W9couj6FrlynD/zMxw3JKStT9cekwoy0raUo7RlI1AY3tTsZ8+VjDXIypKjdXm3NbbfNsnOjF7BjqlT3K2LO9a2yhbq/y1/U/zYnle6NaRTcgJIXkDR1Tl2ZBkTVgau2z9b0PqsRAFXKKUVz96+Y0eU9UD2Fqun9X8HSNPTKrHkTlVpFuGl0UAGEgJixtP1UXyk29cfbLqMUqA99OPxvdAz1rf9G7Rmh9KyLKZ50KgA9zLkrLraEO391LasuOL16L7TbTuUUjnz7l6QCRY+tU/KC6v4Lro9bbS8VuaLH9fePAnDbwxMsWzsIwNq+GPeOZDluZRpbl0yMTXP5r64G3+fojctxPJ/7H97H2hNPRpgWMVNgF0r8+Y69JFMxVgwmOfeoIZSEu/fneHC8wLKhPpx8gQf359k2UaS/P8kpqTi+H3Dq88+pHldHorzyv//0kg+zfNaBGs/cfbMlzliVCdOxa5Inrp+LavNUwMxolmUJs064BJAyw6CW20ZmGvY3nDJrRGaifD4VcUPDLb9zVH5NWzoCUa7DqnoP1TrMlub1Y6SAUnn7J51+Brdcd20HZwFM4G8TCwiEK1zxW3JveyOJz3yh6c9+AINxm5ihsb3JO8vcsaiGTB0QipzDbzt7HijA8Xxipl73WItbGjmnfb+l9r13oWUWLMQC2zjQPqEUMJ538Gtc7QcSBmNNggV8BVKG16IbDE001Kna/cdqGtLa83Iwe7uzV13V9Trjn/gE9stfQcLUMXQZClZp7+5cdAP8ABL/fWkohD/EdOM23IrclX+At7+Rure0/kESv219DnVNHND4zEL3h1IwMlXs0MW/slJ3ZTgQcbChCXRNUHAC1mRiPDDW3EF6Mfdvb9zE0Bfb+5xDPPcFuEHYbrq+qoqYw/YzLJcsPxc0KSi64bO6EthZede3jfBaB4EiYxskym1mwfUxdUnR89k5VWTvbJEj+g0UoWh09/Tc+7RSUPLD/RqaCPtMInRhliIcM1GE71eVtlwI2NSXAAQ49YEjbY+7/O+Ov1zDMU86u/q9X9Ov7abmFpTipItfx5ev30Fv3OCk5SkMTZBz/KbOuo4f4CuFLuYCRWxDIsScc25l/5nrbyN7+gkox6n7vh32370F65Wvww+ai24r/H/2zjtOkqO8+9+qDtMTdzbe7uXTnXJEWQSBJEACASLIxBeDjQPBBGOSbV6CjW1wwCQDr20MMtmIYEAgAZLIQkhCKKfLce827+RO9f7RM7OTw+7eSbL7y0dI29NdXd1dXV3d9Xt+j+/7yA6C+iUCp+9KKYsFh4LjETM1bMfreq8uFl3chCIiaMrEBIEo2nFVy3rGTFnOatWZyv5932c2a1cDdWtJxwyUoqWwt9ttaHs+EV1iGRq+UkwutBP11p8N1/M5uFhi/UCEfQtFRuMmBxddbM9n+3SeX9x8Y9djq+U/c4FA2LvkGR3717Gk2SQObhVwE7oHh4SEhISEhISEhPzPJxQIh4SEhISEPIrI8ge4TiJhXwWTv4+C3rV3VuD2KKj/sD3gFHjDn7+AWTPOe1/3aQCOHxvgzn0LPZX3m70LfPaXu3n1Ezf3ne50xfzfdy57U1VT13wHgcqxQTCbtYO0eYb2GKhP76xPR1lNoeIxQdX9qz0Lvd0DK2H7fTthfLzt776C/YsFNqSiaD2KhCsUHB9TE3XOQ53oZ3Iib3vkbY9MxGVDKrasCWhdir7EwRBcsxNGY+xdKLU8roGI3uQQtdq4viLSwp3mWFB0fPbPFdEkbByOsVr3Xj/uZitB14JJwd1z+Y73n64JdKnRz6WsCKyCyU1FxrZZLLqsT8UAyWljKdIxg91zOQ4sFtumOe0VISC6is7BAAXXZzKzek7KR4PhGMz0ed/mzrmA5O239Lx+q0sTMzVSLe75/dfeyKarL+urPgD5zdvq0gn3w2oIzWvxFdx1aPkBT63YNhxl+8ySgG9D2mIiYeEp8LxusrlGgnVNjZ6fJ72ga4IHjrQ/7s2DMeJG//dYo8v3SunU30e0Puo3MQ5v+wsATM/jcIuAnEaXu37Y/b1bGX/xM4lnF9qKjStHse9vP4ZfFmnETI3vPzxLzJC87Iw1HFgM+iBZPo9DySU/v0ze5sSYwVzewS93ooYURAxJejTFa972ar553d1E5DxRz+b04ye46kmbSSRjHDccZ9Ogxa/uO8RUweWszWkWXY+JhMWamMGtu+aQmuD4QQvfz3L6uiTZkscYkHjaOU3vL+2ovVIfe/abmR3fxkTDOranmCs4DMdMoqbEcVVVxBcti77GEpE2zwnBxnSUffOFun05nmrTNzYvO208hfIr95VAyqWAgIpAR5e0vU2/+M0fcd7xE+RymdYrlNGBL4yswexn/PiTm7qukjAMzpwwm7OeiKD+7caTJdcn0qej8mzOZo2U6GV7UgUkLZ1MwW0SfqkW/91r6Ec7uq3jqSD4oJUguld8BemoUdd+ZnIOcbNZCL15KNa3OLi6nzbL1w5G6zLprOR8daJxrLnnd1+1rHLm8y7zeRdTEyQiOglLb+nSCIF7cN7uP/NSlaEhkhGtofMpKzYFVaF/J2q/PQXiziA1vesrdCkCl3HVIhuCgGw2S+HCNg7GM1OB4Hl8gombfloNLKoEGRltbsRe7sDu11vheD6mIRGuwlcKXUpsz+8q9OsVQR/P84Z1ooak5PhVZ29DSEbiJtO5ZhFrr4L7qBG4uHu+YjpTYjBuYpnLew+oVDf+prfheoETcy21579yPlsJzSvv+p4PjlfJnCKq3+QSZnBfmKbGlkHBrrlCIDgmCLptVScInme1ruimJojoEl8pPKWq4k+t0tiWybr3/Rny6YHLru37zBdc4okEeh8mAHnfZ0LTuOjlb8LxwdIlNzwyC8ClWwfbbldwXcbiFq4fnP+CU/98UgSO9wiI/+ouZu/6LfrvvRxZc6YEwJpx4t+/Gahvr65feTa0b1xTGZuJtEWtS34tdUJSTVSzLHkKPMcvO8JLThlLBQFersuO2TwQjCE2DcVYPxCrmj+AwvcVmaLLbM5B10ATrbNVVcjbfjmLQttVluqrFHtmWhsejCZNpBSk4yZ522tqz5W+S9cCobuhSTzl43iBY3eu5DM+ECmfK0UyorUcM5dcH8fzmMzZ7Jor8PBUvmGsEIy9H5nOs7VLkF8rFpXiEafECe8P3O/v3DvHEzY2tzOrIehGk0H7qJzHyuPwMT3nEBISEhISEhISEhKyKoQC4ZCQkJCQkEeRiqtgp4kLT4Hyg4+qj8Vo/sPf/s6yt208nFoXgyE7x99+4jX8xZ98pu2E0LlbBpkYilGyPX5wz1IK1J9tn0HXBK+8YNOxdRLetWPZmx45/YLAhVQp0rFH3/12JBVh70yBlKU/rgTCjzan7dv7aFdhZUxPdhQIA+Rsjwens5w0kuhbJOwfVe+vQMyUcx0ShtnX9GBUl8tu5wXH59Ktg1z/8Gzd8qdvG2I0vpzEpP1Tcvt3aF4tooZcdU3+0TREFoCQcHCx0LuwVAWOS82psOsxtdqJXFU3wbk2GWUs7mH7QTpyReBMddb6QTbkShRdj9G4xULRZud0rs4lu9c6hvTG7Ac+QvKKC/pySPX04LlsyEB803ZskUj05TZWWXf201/ssSbN1Lp8Pl74+r1HeNNFG8n85g54zSupa8AbNhD/7x88anVrhxDLO8mPs0uzIgajRjUTge35fO3v/4uLPvtBTrjt5pbr+wj+8z2f45nnnYLv+Zi65Oe75xkwBBduThM3DR6enmfToEXUCARBsYkUV128jbsfOcKuQ4sMajBXU+bO6TzpmMFI3GB21wzrIjZZfYj9syWesi1KoeTx5BNTpGMRpFB86HfP43M3P0Ix73BoroSlSeZLHqmozp137UaMWkzNuxyZLzCWtBhxF+v21wsHxjbyb3/wD3i+T0qTbExbOGX3uYor9YClY+qBuySUBbkEwqjNg1EkglajFNdXJE2DwajLbI27Za+vP6mIRsF2scoBJranWirglKp/xklR//ddOye56hlP5r6772zaVgDnGybvGxhmZBmBLLnnPJ34d3/UcR3XU5w5nmLXfL7JDXAgZqAJWCg4NA71AifC3u9S21UcmC+wbjCKXhaBOp5q6QrZimPRHxQdteLAhGyDiFXR/B0ibekkDL3vMVun8aqpiSWn9jKVK9TrlWrlithI0XE5NN8QAOWt7H3X9hSzeYfZvINlSBIRnWhEq2ZdUUoxm7XJ1LbP//oOvPi5Pe/jtLt+2/H3gu0yudCfANkqi1crAelrBqIt18tms0y1EwfXMnmIySedz6l331W3uJuzcie6/q7gwFx9NhfX9zFqRIwrRQhIRvSm7Dqt8JRCKwt9Lb1ZlBnRJePxCKNxk8PZEnN5B1H+JjiTtxm0zLbHLMuOubVleq7i0EKJ0aSqZgAY+8d/5Mjb3tb78Q0Ntf2tnzOoyfrj9RXVc1FLzDA4YUTjoekMnq/oJ87V9hRRQzRlXvLp7X2tHaJoc0+DI/+Ba29k0xUX9FxGVAjsv/4kli4puj6mJrls6xCpiM5o3GTHbLauz9QErBuIEjf0pnbSeHxSwobhGAfni6TPOIMHb/hVdfw/FjcZjVt16zc2/VKXwJGi41MoucQiRsfADF/VC7YbWZe2MMuDmJMnUjVbN5copWAgZiJQzORc3B5a2+GFIuNlIXNtvRpRShEzZJN78HDCIGHpgECTgZPwdLb+vVsrP4cqgYhe+Rlv6YKRRISRBGiy4lwtGE5GyNr5lu9jP9oxy47ZzpnZHB927dje7dCbMICP5/OkvvMgx48luPj4kaZ1YoasHo8gCLBsHCOGwuCQkJCQkJCQkJCQ/z2EAuGQkJCQkJBHmW4uwhD8ZntgyOAD+2OJqU/966qXWfnIm/Rsnpx00KM6GwejDMR0io5PyfM5a8swBzI2B7MOA5aGqddPEtz80DS5kscFWwY5e2P7CY9V5bTTYe+evjap1Pj6174f5oOJrZPXrL4gd+drXkP+Bz9s/aOuc9w3v0HsrLOW6qXA9jwWCitwOeqBE0fiuL6quos8VhCA+YIXYH/zm492VY4tp53V86oPTWfZMhQjomk9u3W73tEVs0kB++aLjCV634Esi/2OH4pz/5HMssQbJdfntDVx7j0cuMCcvS7JSSOJZZS0fCpOQ8fKSThqSFzfp+D4JCIaq+kerGui48TjctAlFF2PXXP5/l1HRTBpatQIV1pNRnpKVZ9DlhR1IpWs7TKTt0lHDWTgAUXMDNx8hmuE5KMJi+F4hL1zeXbP5Mi2SFvebczwWEEAgzGD2T4dfo8FXiyOlm+d3rmWymne/5XvA7BrrsgjMwXOXZcMXPxakN90HPE9O3uvS89rtkY8HhXC2SyZJ7RJrb5vX+BCuHET8W9df2zr1YHWfmqtWbRtBIFzXtI0VrUeR+NKW7pkXcqi4Hpkim7ZNV20dRBu5SSqS8Fi0akKUrxym7zl997FLb/3LhKT+3jaNR8isjjP/hPO4tZXLQmXfvDILM/YNsjBjI3veNx8/xFMAXcfyJCxXSYXC8QiBpdsTbNnOseDs0UiwyleftZ6YobGto0Gmq5xJDPJ1Zs0Tn/D7yAbspt4CP7m8jfyAw9MXecF521ECMnE1F5e+pcvRtWIAzem0hz++2solTzu2jHFqSeuw12c56c7ilz85qvpN5H72iN7mSkHfZiaYO98sWmdDQM5zq4KaahzrB+OmU2OerLs/DZfdCi5ftVBuXq8PgzFDLIlt+Mzz9QlBzNFtqTjQPvgByHqHbtblfm1638GwC/PP4375ucooBjTNC6PxPpzDW7k4AESEW3J1bJlFYPfNgxEyUeDa1nZZzpq4Po+01kHUxd4nloSTi3jhvJV4LpaNndG10RLEVI/9COA7aUsU19+0JgUtByDZUoeI3GD6ZxD3NDYmO7PPVgTgeiqlfNoLY1tsJ9L1X0dRabgMJ09uuOSouNTdGzIQsyUxE2NouvjuAqrYsctBNGTTyD78U9RfOPrupa5+YH7u67TT/uJGhLX86tiStcHQ2tfwu6TT+m5bDU3R/a220icd173dbv83vm+CNxzM8XWzyrHU8RMWXVDNzSB66lqeYYuWPor2FOreFFNBuP4XsTBAIsll4OZIrqQaBK2DsXRpKy6KedtHxBYmmQiEWUsHkEiyLseswWbkZjZNmuJLtu7wE5lakSOl14Jwx+CmamOAXGq/E/iR7/o6dg6YWjBO7GlSxQKzw+CWAwp8VpkHCu6HqU2z6du7cJu0fkoVRFQC7qP8FvsM9bawdXTTTTX7joKVARZwc587mVM5GwsQycd1RkwdXLl4J8TRxLsWyyQtz02D8XYPBhnKlNq+V4XMerddNcOBpmy1qYtZjIl0pbBXDkwaMBqP9asBGX00l3rmux67rPF9v3npuEosu/nvWIu1/s3x4Lj4/sKWbZUbiuml5I16SiO57F/Nhh3paI6qWi9GUMyaiCAmZxddx1ajXOK5SChjUOxuv0KITBk60xZ560f6CoQ1gTE4smO67TCEILbpclzTY2RuMnp69LV39IxncGYWaf+1R7rmQlDQkJCQkJCQkJCQo46oUA4JCQkJCTkUUaIQPhre90/hDt+sI7+GBIJy1hrl5mVUpkMuvoDv88H3/NfTC6UYA4G4wanlsXBFeK6xvqhGDuPBFMBUUPypG3D/PihaU5dm8LSRTDZKMD1/JYTP6tB/AP/QPZ73+1LJtdq0ms1U2bvfvNbyH7jG51Xcl12Pvd5aCMjnHznb8r1V2iaoOAeXfdgQ2pYj9ER6Qkf+yj39iEQfjy7By+nxSlg52weS5esH7B6Tm1uakdPxOorSFk6mZJLoccb3fEUJ47EAMHJY0nuP9I5RXY71g9EmCs4OD5csG6g6/pHY26m5KquAhNNgqlJhAgc92xPUfzed/He+64l9zTTRPv3z2OddkbLMhqdq4qOR4tkxMvC8fyu4pF+qAgxHE/x0PRypouXaExx2wkpAtGBWRY7H8mVOJK1SUUMKvOmRccj2iIdsBSCzUNxNg/FmcmVmFwsUnJ9Co6H4/mcv2mIw5ki900utdWh2OqKEFeCIQUDlg4CpnMOAkhHdeaOcsBJP+z/xk1sLDuCdRJNAOTjSWJDwT3di9h5+v99GeuKC+gmm6+IMvZff2uPtW6NFCsXGR9rXv2OF3XvMfbuIXf5JcRvaO0+e6wk0VJAKqKzUHTISBeJCNwhjeZ7zvd9ZosOR7Klav1OX/PYuTfbYekaaUsQ8z3WxCMczpVYE49gez4LJQfbUywWXRIRDVOTLBYd0lEdISBf8rF9n3TUqEuX3tiNZ8c38N13foI1CYPFokej+umBqTz7F0oMlLvE6+85XP1Nl4LLThnjoekCrtB4wbnriGqCmKkx7wb9/EzO5q+/+C6ik/ur29W2Lw3Fe274GNmhMSav/G9Krsf2445rWlcB2uI8F732Ks6KJfn0y/+C6akp0mdvIWHPIT2vr6ddZb2PfvSVvPnNn2+rzHh4Os+56wawqqb8wbMjSG8dCNtqnz9SwF0NToe1uL5PpuQxGDWwC637LVMTLBRdHE9xOFckamgMRFaexeS8z36ZM1/54hWXU4uUgmIbwXo9gpgRNCL305+g9K//wr01v+YAcfzxxL767WAdf3nBVdPZEmvT0bKYVbAmbbFrqiHYsY8iVyIObuXO2S/u/Dylpz8JyiK+DTW/+cCRN76L0pUvYDoXtKW843H/kQynrkktCbc7YGgCQxPVWJY6l+Dyweua6JpFp5M7cPdzqJjJ2E0O01VOPhUeuK9jCcshb/ttxo/B39qTnkb8Nw+Qe/qTYHa2afvImWdy/Hd7y9hU+URk6YJihzbd1sV5FR+su190Naf1GTjdik5Vsl2/rTi4QtHxq8+jyjXQZeD+6fmwfihet7fG+1iXgl3zufbtpg0lV1HCQ4hAVChFcL5rnddtTxE1JYXyozNu6MQNHddTWIZEIcpBgaoaYNtPXxX/4U/J/c5VsOPhtufR002G77iLVp98TK214LEdjgdRXVCoeb5vGLI4tFjgYKZIznbRNYnnq+q9bOmy7rFYCcZ68EiGVCQYZ8hy0OWahBVcSwWaEPg18m5DC9xg87YfZLdZBkc+8Z9EdVkeny8d9+KPbmHgknOR5Q6s8SleG8SgfnUXuiY4eU2CkUQUAWQKNq4fuDs7nuSEkQRD8QiWEUSZDPqKmQYHW11SJw5ORLSazE2BY+3puuSR6SyuF4iwW9Fv8IrR4UOzKv//TJsAi5SlL0McDHaP4uVa9s0V2DTcWtAN9c8DQ9OYSEfQpUTXWo/BElEDy9Q4vFgMvo90yArgeoHwXWtwu48YGrZX309oMvi2cdnWIbK2x2LR5XDOrnufTJqSDekothdlVGpM+b2/1blK8f+iUT6Tsbnh/iMcvybBORsH2TQSrwu2kSIQIT8WMxKGhISEhISEhISEhBxbHqNyjJCQkJCQkP9dCBF8BO7l263rBx88HytOwhve+XYeuupFR618DXj+EyaIGho/f3gGKQXZxSKxpEWp/OH2YNZmzUiCRETn7n0LvOWy4zlhTZIXnrWOXMktT5AFQi3PD1xFKjieWjUnRlPrx1+unpf8x3v52u+/Hx+YXCx1Xb8XOroGt8CbnuaB887n5Nt+xWzOXpnbVxs0ARG93nvtsex7eNq+vdy7YWNP6x11/uJ98LfvO2rFl9ZvWtZ2Rddn52yeTekYEU3WTF61JnAbPnpXvTKBm4wEzsbl2ABKriLfQjT8m4NZfrp7gcuPH2ZdKsJwzGAm7yBFMGnZ66RayfU5cyLBxoFY13MAR+8MWG0m/TVZdpSzfQplAUjx5z/Be9NrmwuxbbzffQk5QPvezVjj43U/Ow1KFNeHmYzNcDLCStGkXLEZqgQihqxL+91mPvCoUBFfw5KLZs72SEY0tJrJumzRIxVtnmCsZTgeqXMYrrBxMM6euTwF22MobnLqmlS9c9ijiOsrfEAiOHM8VZ1JN2SRI7nHRh03XnFB1+d1paeK5TIcetPr+dnr/7rn8vdffyvrrrig7oNLo7BJAUd+dBvJcuP0FU2urL2w6n2qOLpP5d99/eXBbnpZeWqS3IP3Ez+plXPhsRk9DFjN4nZDEwxFy/1gzYEsFp1lu3Y+FjBlMD6bSATBf5YukUKwWHLBArIZZnfvhW0nkim6eApG4yZzeZvpnI0UsG04jgDuPNRavHo467ApbZF3PKbKYkNNCryyeGZmsbmPcH3Fg4cWyXqAFAxHdbauSSCAB3bMc8ponCvf/8dQIw5upHKXJGaPcPzrX872Pbvarlchms/w+s++h6/85b9z4z0Hue6XeziX3sXBtWVK4Iq9v+Jn257En1xUM64sp4M3y659AlEVghnlvqEypjA0UXaeDI7ljPHAcXix5LJ7rl7UVnEFnSs4VdfXRuKmVm3bM3mHiOaRMo22LsK9Ypx6OraUKN9ftWAorc865c5u41AOqEceIXf2yVj//An0Sy5D03rvQ72yOk2XzedpNGku+znca28W0SVKBY7RvgrEi7oUSOGjiSClvdbGAVgTUPJ8DmWKrE1ZaCJoV7l3vwO+Vy9ArX1eSWD84x+Ej3+Q7JnnIj7+r8zkHVxfcSRbYijaXVSuVV1T2zNsGugdPnB0u0rdxMEH54rVbwetiH/x2o7tpiXpdMefAzfT3tyc4z/6BWvTFhGjX4/yeoLvHYHAFAIRbe23jrbiYGgbwHD/Oef2X5GGwXyn69Pq2ta2wXbXXpeClKVTcn1s12+5TkQXFJzmuhiawGwhhhxJGCCCvliTAl8pkrEBlApEraL8bgnguj4PTWWbyvBqjj1h1mfakYKqgFWpoIzKr4YW7E+TEiFEtR9fCcZXv8Ej0zkG3/NnJH/98+pyd2iYg1/6HmMJs0kcPBgziEW0qpj3wGyh9xFXzZg0ogXPoogMgovmPIXt9T7OLfk+uhTMlwWph7M2phScMJLA84NzWalXIMIP/rvg+JBMQqb3oF8BbDz5OCytzf13x/3kfuf5sOOhlufCTQ6Q/Mkv2TwUw9Bk+b5TaEIQt3Tyjk++5GEZktGUVfful7R0FgtOXb9taEGmngrZkofIFEnHzLLIVZCKmpyzYQjX8zk0X2wZYLt6I2WF6ykWizZ6OSilseyBZQWrKmZydvBtW0ErPbpVvk+LNf2378Oh+SITaYteRmWWoXd9huiaZE3KYmqxVLevVtiuT9Ss7z9qA1+EAFf5PHg4y9bhOBNJq6buiuu3TyGFwFMwX3CYKzgcztq8Ipbg09kFmvNMNCOBp1lRTjU0Ljp+GKUUP7j/CBceN1I3PtHlY8tgJCQkJCQkJCQkJCTk0SUUCIeEhISEhDxG0GTwwbLLt8jHHMnzu6eOXC6Vj7hf+tV+hhMm2yZSREyd6bxTN8EX0SSXnzBM0tCYOb3EttEgPVvU1OvcGW1PNbmXWoZclckXKcrOvx/4e3j3O/rePvbgfcEEouuzYyaP18KVol/6EQdX8CYneXDfLBErelREQscNx6sCFAiub8Y+eq6StWewn6OpXbci/m0lFLZuupFtxx+/rLr1S/zql5A7CgLhiovl5L//17LL8BXsmstjSMHxw4mO4pKC4/ftSLQcalOjj8RN8k6zaKPg+mTLgrzpvI1lCCxdkjA1TF0ym3eqzqy9OIcWHJ+9C3m2pONdBTZHS69abHN+lQLlKyq6g9JNN+L96Z90Lc979iXww59gjK0JHKxonR46W3JXRSDcKD5eDpEW4gdPwenjKe7p4LjYjn6cIqPlZ0rl/EshUEKxPhUtp4RfKi2iy2X385oUPOW40Zoy1WNGIKxYul9ihkbJ9YmbGnFTh8eAQHjDc54ciDx6WLcyDtl676+5pSxE6LXrOlB2Bq4IhSub+UD+v74H4+NIx6/2VTFzeaKgXltQzAgCODKlR9fJWdJn//eKq+GOFqnV21wHVSPM8VQgmluJ4LHVbhxPcTi7OsFcj3Xsm28k8o43U5E2DNb85oyMUPj6D6goWk8fTzFg6RQdn2REJxUJ2vRig/PrnvkiIzGDhKmRtT22DFrsnCmgOy53HWjdRzuu4hcPHMbSJU88cZRHpgs8ZUuaq08bZU0iwuzOR7oeS1VwVhYH99IqTM/hOXt/xdRZL2Xg8pPgSz1s1IZnf/NfeN6v/hjlq5o2GQQX1jqMdhojVcR9tY/KVsfh+ApNBP3VdC5wfHY9VR3zpCIa4wkL2ytUAxNKnk/e9YgbK/9UPP/ZrzHwqh6cwnvE7yNyqFeRZ/FP/wT11W+gndwqAKGZguvx5bsOkXd8nr5tmGcNWDW/ChKW3vNzeDnvJ67nk7e9qthTEIjnK2MyTwRCQ0MPnnCeUigVpFRfLDrceyRT3TYzlSVqaMjP/ivD3/tO22vUWM/EXbfjXP1sxH/+NyetSbBuIMr0YqljkHOki5tthYLj4WSCfjViSBKWUSMSVagVtqQ1AxEEMLlQai8UjlhQ6kWaFZD68S0d3ZtNXaxK0Ijj+qAUQoq2Imq/HGzgeOV/l8WFtd86LEN2TC9fK2TN3X8/u5717Kqr9NGkVetQDf/dStwnpay+e3i+wnF9io7HQsGpuU+at4zoGqMpi2YEyRrBezdBYdHxmOnwfiiA4WdeRM5ZWqeay+RntxOPB+7FMUPg+EtZpFxfEdGrj9ZVYe6v/om58n/XisQb37sSEY2B2FIAhNQEQoLqoRlUHEoNDXQpKbk+UxmbqCGq7bETlUNdKLpBkC/N59/2VdC3dekP4j/5dV+C/6G3vY2R4TgH5lvf/1LAyLcC5/n5O24j8+EPI0olii/5P2hPDwLfDk3n2DaaQCEwygHxChBCMpKMMEuJbMkrj1NrxaSC4YQZZEwro1pceE2I8ntj/bHrmmQgqjPTEAgkCPqBTi7zgqV+IW/75IoucUuv7sNxPXIll5Lr1wV5VLerKavkeBQcN0hIJMqOwkK0DTwA8DzV9C02bgbBLgKBUopSWfyvSxE831TwzaVYSa/XovhOfUqrdqVU0K6kEETL++9Eq+CCVCx41gJsn8mRd4IsDrqoX1dKwXDM5Lb9S+Pd4B1N8NxonM/kFin2cOObCH43lgIEyXiEhYUCH3j+qYyWxchSBJkKVxjzFRISEhISEhISEhLyP4xQIBwSEhISEvIYQpfBh3XHb07NW+GxmBpMbNmM2rX7qJW/YSiKUnD/vnlO3ZDGKZ+cAUvnOSeOkrb06iTGYJfUpK1Ec6uBoQWTIFx8ybK2z0uNdFSnkLFxfMV80WG4y7F04r4zzlz2tu4zLibys9uqf28ajBLTNUqez5FsqSouiBkasbJzhkBg6VrTB+jKnynLQKhAGNV4zpOmzpahGAsFh9k2aZCXy2pKUDu5BK+yf2N7fnY7PKU/F6fayZBWyxWwd4Up7isMx82ehFh+eVrvWJwzCczmWws2DpWFHGdNJNgwEGGh6FKdqim381qho2VI8rbXddJovmiTtjqfC6Xq08w24im1rJTRwUSkIKLXp6FdSq9bdjPrQRxcIfeMpxL/zQMA6LL1VfMVFG0Xy1zZK6YuBHFzaVKVVv9VU4VWp1i2Oe8VV+hu16+Z3h66Vos0rkvpjJsnEs1lpsCtsNIgkm6sxv25d76wCqWsLtJ1+pIZVfqq57/9d8h860ZueLg5BXgnDrTrXxtEJa7nMxKvd9/yfNXkXtsPmoCtw/Fy6mHBQsnuKhAW6ui1q6vf+ZL+N2ozUKsTDymF4/vkHJf5glN1pM07QarppKkTMSRxQ6+6ZnYuMcCQ9Q5+MUMjEdFwPMXcKo9XVoOIHogplmFE3ZLcK65GPHAf0HoMYUxPoz/1bLLfvAktFufAYhGfCNmix87ZYlUYrEkRCIIjGq6nmMrZLJZcnrRpgPmii+P55DNBXzEYM9gyEgvcINVSanFNCg4uFCm6PrGIxhkTCfbPF9mQtpi98pmrc8BtGPzcpzjnL/4U3xfsNU2w+w90qEh6TF1jKl8iEdGI6f277RUcHyECUagmJEopDmVa97NRQ6uO2efL/UjFTXjzYJwjuVKTa/nhbJHxhBWkaxei6mqslKimgvdV0Dd5ShHRA4dJ11OYusB2FSXfY37NerKf/iLrXvuKtuPQXjFOPLEagANBxoZ278mFv3t/X2WXXvJCEvc82NO633toqvqM3zy0lNq88owo9HDjKaXKtrz9nw1dCwREfnlc0XgKKuckSEuviBqSeEQjHtF5sEYcXNk273hs+sK/9rz/So3NI5Oc9O1rOO7P3wXA+mEdpQIH8OmsTa4hIKC1zK8ZpZaygMhi2R203Ae4nl8n3OyfsrBOqTpXzkbit9zZu6jwdW/G8zs78vZ67J1YyNvMloV/6ZhO0gqclpVSFOxAvOeWM2ZEDdGUScTzfGKmxPZ8HM/H0CRStP/WBPDA+RfgHTq0onovl1rn4Npl3c6iJgWaqWGZGqmowULBZj7vthGD93ZNuq3V7n0DIPWO1zJ4953tgySeci45XWfwN/dSclVT8FnJVegyaP8rCaptdF+39OA9K2poFB2PuYLLxrTAcX00Kcri0Hq69VamJpAyEDbn7Gbhse0pxuMWli45eHAGABWPk7GDMZokEP7eM5mrPpM2D1rVIKPlYOmS3Ge+AK/5P13XjV58Mak/fl1bcTDUO4FHzjiH+Oe/xF2HFoIf8w6uDz/bPc9TjxsO3mMFBF8hAqQQDCcjDMRVS5G/ZWhEDVkOhWgdjJsruaTjrfvB2jJ1LcgssG++UC3nzPEUuhQIEfSnFXdo21MUHL+aYe1Ixibl+AwnTSAISFjIuzTeRQqahL2+cuq+PczlHGKGxDI1pIBk1KCxNc22CBzN2T5Wi8AS11e49lIglZSi/f3VgUahcMF2mc7YwbhKgi6C8XSpQ2DL1GKJ0VSkLmuURHDP5GK1/IgumUhYLb8HnTgSQ5NBMFfB9nF9xWjcIKlpfHxwlNfPTVEoB320IoLgLwcGOcE0KRx/Am968uY6YwxBKA4OCQkJCQkJCQkJCWlNKBAOCQkJCQl5jCHKkf6uH7g+BZPiS/OIjzVxMMA5v/wpt080u6uulMoH0fsOLqUHPDg/yVmb0gwMRLls6xCD0eWksmu1l5USlBNPJJacYfrgV1f+blWsCLB7trAigbCam+u+Ujty5VSZSnDuujQon4ILUV2yISXxyseqIZA1H8U7TZB2Mo3xfIjpOqkBvSoQlgJOWpNg/UCs7DxS//F/acK14YZYLauyPunkSLKaxONxct1EwlIyctcD5PJZCk97CqJQn3a6Vhg8+7LfI/uq165a/WbyNgMRo6UYshbXC5xSGsWUR4PBmNHS3UmV036etz5F3BAsFt2O1y/veOTLuUtNTRA3dTQJeXtJAKVLwULR5WCmRNTQsPT2r1tCNAcs1BI1JIVlunZVJsM1ueQ2pAhccVKWJP93f9V3mcU7bsc659yOLveHFkpsGdVYyU2o65KxgVauXr2TK7lkS81CHdeD4ZjJgcXe3eH6od+jfgw+zv/Hs+4lly9720R2kYWj2GXZnmK6wf1raFnpegMEkC47V0UNjYLjEzM0DCmqgVZtN1x1gkJjmfmjUTjThRJHsq1FmwXHp1B2kJcCJpJWIEgRInBWr4oxlrYZjhn4KnBGrw0oSFo6I9EIvvKRgo7OgccSXQNDBmOwqCHRVSDWrHV765fcu98ObcTBjcsmXnAp8z++g+mczXRZ7FErbvF8xeGszeHy8FIK2JS2iJsao3ETBEwkTL571yGmszauFwgc52vE8SdOJHnq6RMMmpJN6SjrkhZTWuAEqu3b17MreLvj6bSuAAxNRzMFiZ/9kuwF/QVq1aJJwXzRYbHksmVQaylYb3d3ahIens5W22TUkCgV9B3bhuPM5Et1AQVGQxCSqQVtfk3CZDpfYjLT7IJdcHwOLBbKAuBgmS4FG9NRoqp5TFMrEJJCoEnFdLlcd/M29lx/K9Gbrmfko3+LLAXL++1iTvjhD9g9nceQoGsCo+KwrFqIZL/2lT5Lh1KxBFrndy6lVN2Y9ee7ZxmMGUwkIyjA933uPrjAWCJCznaZztmMJOv775LjMZO1MTVB1NTI2x7xiE4s0n6s6LheXWCUqYtyevlyvfwgoMxpMZ4sOD5SE+RduzpWrSXxiQ8By+vys5/8JP4734Esu1kKEfwzlmrOJFEouczlGwNTFL6irt619fCBw4tLfXo6uhrTF8GHlbXpKPtm2wcvJX7zANknnQMN7091/N2HiV/+LKCcGaXsalk7rpfQ3qm4D1JRg2zJxXYV83mXiB4EJWeLTlMf7ytBqSwULjiBwNTxQfoK5QfPCl1AOmmyUHBbvrc/dMmlj5o4GHp/j971R39E7vvXNy3f9MUvkLz4YtIxk1TUYC5r12WVCVidgU478V30A3/O4N13dt+T6zL3hNOI33ZP6599MDWFZQRjlMWSQypiNKinGz9+1J9B21EMl8eSXjlAIW/75B0PKYLsFQ8cWcT2FAlTY/9igfM2DgVtukdkQzBVtWoEQsuZN74efnITBrCpoaZ3XP4y7r3q1U3bxk2tnLlmKftK8l/+gYEbvhO8H0+ME//vHzTXRSyJeeNPOIfcT2+Dpz+pbWDPpi9+gcRTnsLBuc4BjY0u9q6nOGk0wYNTwcCm4AZt7L7DWUajJmMpg0TEXPruUt7eaOMALoRgMG5ycL4IKKQMnuGOpxhLmsQiOoUOWbc0KfDx2TWbbxkIW3A9DKlRaR+1js5RIwggqLBYdCk4HkNxg4VCszi4HSVXVetcIe/41WfnfN5h/VCsej0rQQ6tKLqqY6Y321PgKVzPx9C1ZX2DUwTX1Xb9JSd+Hzygw2MZCPr9Q/NFip7HTM7m1IkURzLFujqsS7UWBwfH5xHVJVEgZWoopRACHM3gFBM+N7yGDy3OcY8djJtsgkl8HcE6XeOtyUHOjwTfS86/cek+EAT3gB6Kg0NCQkJCQkJCQkJC2hAKhENCQkJCQh6DCBGk5lup9PV/Aq3cKnYcyXJuOsaaNg4a/bE6ks6Sq4joAinoSyBc2bNz5QugPBEaNzU2plcmkFs9FH7NOZJS0k76WRGmLDeVqiYFG9JRtgzHSFnNDiPNPPa+ei9HKNxv64vH41B2c8098ykwW3aznFjH7s9cC0DK84lYccxb7qhORAkROJz+bFd/7pf9YH71CxT+/ePIBotX/c/+gsjL6x18uh33qgmt26QoFUKwcWDJ5VcROOvNFVy8TuI5gkkpu4t75K65PCeOJDu6Sx1tgkmuYAItQBEzJAuf/0L/Zb3+9+HWu1e3gkeBou0xtdgseqpwNAXC/bbZgu2RjKpHtY083un3nGsL88vaT7UPUT5rEgYxc/muZhD0xwlT7+rm22vd2jEWDyanU5ZOMgqZgsspYwkO5+yW4kDgKEW5rE6hQepqgRSCnO3iKfB8v8kFtR2+ou39Xxtw5itaOgRXgvQUjx1xMARtwFcKSw9aqkKRtxWmtgLnwe99t+d9A+hv+xP4wEeqyzvt1VcwlbOBOAXXI19yeeBAhvm8w5nrU+V1FNGsw6GF4HpJyumqNcGG4SiDMYOi6zNfsIlx9EeEEVMHFMlkiqymEeTQ7p+ooXHiSIKc7ZaD3bqtL3F9vypgrxUcFhyfiaTFSMzEV7A2GWPjgGC2YLNvodDkMh839Wq7FcBw3KhLSR43NDYPxSi5HttnlsSRrq+YzpZYN6BVa9woeqm4+7p+UI81SZ8Hj5SFU5dewb5LrwDKjnp7HurJ1REg9fKXAzAU18kUvfJ5UDxwZJHxpEXaMqvHU1rmNcm+4neIf+W/2/4+W7C5/cAiC8Wl/vrBIzmetNlmPBkIYl0/cMaeqnFDXCi4JC0zcMguuczlHZSCkktVsJgteWwYklX3R6UUedvDMjQ0Kdg/19t4xSyLsmrvO12DnTM5QLUMMB767jd6KrsVArh/1yRr1wwzlIg0/FKDUkxl7ZYZMQTBe0l5xY7vj4sFtyb9u0ZEl1VxcqWsru8VCnZPdxD9lrFMifrFHQDkfv/lcNdvy2k/TPjC14lv29a0jV12mgzuV8Wu6Ry/3DHDKy/cGASjlOvY6hgrgsZaIXgtgfDaYn9Z1DyXc7r264E4OHDSr9TJUzCesDCNYPwSjej4vmIh7zBfcDE0QcyUzG7f3vUc9URNH9Gqp2t6L+vwW+3f2e3b2X3JpW13u+cV/weE4LS9e9CEYChhkisV6r4prd7zovV1GPv5Tb3vx3PJ5XLB+32bPRRsn51zuZ4zoATjJNo6oA5GDfKOh6+oCx7I2h4xoz64xPcVBxaLgZM8wa2Qc1zihsahrI3vKy7aOIClL30hOpApBGMoBWPPOL/6XaDV+Tj3hi9z+s3f5Msfqe+D7zucQxAEqLz4HS/GWJyvOydi374lt+/v3czIhrVA8Iysvc/iiQT86i4AcpOTGNd+EfnUSxm/6AJ0TRA1dfIlt0vQbiC4b0QXkuOH4+yczbFQ9NClIFO0WcjbqH/6KLu+2Py+ra2d4ORbW2cWiRgaqajOYsFl41Cs5hYqB9lF2n8djhga+8tZFlphe4pWiWtMLRB3Nx6d46m6vkaU/69b9jVdipYBKxCMDw7M5lk/HIzaMgUHTwX9Zqs6uD2kUio6Hoaute3/O/Ur2aLDbM4hajS3zJLbfQxdcj2m80Fg3I+3Tzf93i7Tj1LNz7ucq7ht3yJ88Ku8+u0vZLNu8OmhMQ66Lj8pFVj0PWJScr5pcaJR8w08svT8NbXHpplISEhISEhISEhISMhji1AgHBISEhISErI6iB6+GPdBpSQJrJ3awcHRrdXfFgsuVxw/UpfSbdn7aahzt5SbnahOwvzV36He8+dAbxND9vh6ThyJceJIkK52KGYwmmh2YOrE0oR9X5u1RYqgLNdTOF3Sp9aykhYwkoywdjDWfcXHAcfMUfgHPwNAStg7n4eyC25VGAp1qXTzts+paxLsms3XOaHpP7yOtf/0V02TKHPPfxmZ176le0VKJTZedXHr9q4U7j/+De4//g36Lb8lUp7I6CbCXS1mcjYRXZCM6EHq05JXdc9sFLi4nk/a0ldF+OWrwOmpIl7pl/ZJJVdGR+fQjhs+dsRw7XA9n8OLxa7CtKNF0VlybTO1inNz4DpqGcHkpe14CCnKgRa9yMMePR7LdXu02DoaZ3wgymy+tSNjryTKAqd2Gt0KRcdnJG7i+wpPKXwVuC56fuCEKBFt+wpFIJiL6jozORulFI6vcHy/c/97FC98MZYkls90X7GBqBEIDly/MtZS7F8stHAFXB28NuPZQ4slJjsEIDxaBOb2S3W2jLLL6jLdK3M3fL/vbRK330Jt+JHXxQHf8xW37F1kJu8wEdP57k8fwdAkpaTFzEKBtWvTZG2fE0ZjHFwokZ1f4O6H7iOfK7Jv0xqe++wnctvOGZ531lqOTshHM76vGE5GiDzwILtPOL6vbVX5n1/tm+fcdQMMxyJdx9WmJig4fuAsJ2H/Qv3zLaILhqNm3XPN9RWpiMGZE4HLpCE1DmWKRHRRl/JdATM5h5G4wWzewVewbsACJYjqetP41VWKB6aCe3f9gMVApH5so6h/B9GQnDmR4pGpLPnadqgIXB17SP0+8AevYcN73wtAKmpScIoUyo6pawcs5gsOI/EInqcoui7bZ/NsYhld2ORkVaS5WHKZzJQ4krM5sFhCl4KZvFMnDm6Fqcumd8gdMznmiw5RXdI+vBKyRbf6wqAIXGIFgVA15zjEdL3uvaKVI6HtBSJgT/kYUoKC+49kys8OGLCCMmzPR6kgGLUf1+1GBMAnP4b5N3/dYS3Fvtl8S3Fw8OuSA3UgkG3/XPKBTDHo7xcKLhFDsrbPYFohYP2gRcHxmMs6bV0x/RpRbfw/vtRz+b5S7JvLM5Up8eEfbcf1FS85b0Pdt4ZKO4Pgs4mQYDs1gkah8Hy/KsYTCGzXYy7noEuBqYs6p89mlvZVccSslK1JURUHl3eGlILBRITB8neHB59ycc/H243NX7+2Tc1aU9vG25HNZjuKg5cKU9y7YSOn79uLlJJNozHm8w5z5YCI1fpeUmwxDkz95ZuDffRT0FPOpXTbPVAW4aKW7gYpJEJIJpIWu+a6C9wBBiI6023eZWOGZKHY/p3uhLE4Jdfn3sNB/3H7vgV2tHHcPmM8wQNTOfYvFjl//QBrkxZKKY5kS/gKNjzrIiSq7bmoLI/YRV78zpfwvY9cS7bkkTA11g9EmMo5XPnqS6u9Z9tz+uxLmP7S14mfdErb4wIY2bCWwp/8GQDT5awTa1JBn9uJdkMpBZiaxiljKdalHCw9eGZvvOIC2l0p7+Ah7t2wkfEPf5iR37m66fd0zGQwZrR1nm1Xk2zRYW3KwpDBs0gAiyWXvfN5PAVHciU2D2hN5eotRLC6hLWD0eA9VgXPqOmsjS7A0CW265fdd5tr4nh+x++pjg/5kkcsolUDlAqOX87UIMoC4yAoyvW7f5uNR5bGK63EwK0CEXylmM3aLJaf69mSqjqz16+sWu5fle/PvOtVs2a0YudMjq3D8bJz8xI+gdMy5dtwKGagF13OXptEiiSL511E6rZbUMBaXedlerLtPk7b/ggAmgjFwSEhISEhISEhISEhvREKhENCQkJCQkJWhcjmTZR27V618irfNxXw5196H298zacgkaj+PryCtNstd7SKWFc+j8WPfwRj6nDTx+paFOALyaHPfb06YTgSN9k4GKt+2IelSazav2vLXE3zyYqAoeh6PDJTIGpIjhuMUXD81h/OG3A9H6MsjGuXEhBgoJwq1jJkkFq304l6HNOLUHilhy0EZG23TrzQaTJFCknB9RmJG0znHDZeccFS22pYd+hbX2bwW19m77U31t1/jWy66uKW2zfiXnQWkbL7sRYoGbpssTqUXEXJDWZhUhEN5fh16c9jhoahCeaLLiPxlTmD1nIwUyQVMZblEHs0bgdDE01BEatJPKLxaN7IC2WRUyeUglPHktx3pH+RYjcCsUswmVhJfQowktCq7oDtUsuGPPYRgFCCQ4sl5gsOycjy+4pMyetJ3Jp3PPJO5/ViRvt6zORt0pYi73gsFLu7Dh5t/ut9n+PV73hRn1u1dm7roj9dEabWvh/r5QyOxk08X6F3KOdoUnQqo7ll8u6397V65SiHYwZzhaAfbjVcNMrp7gHWJC12l1N6H8q7XHbhcXzy2jur6z6wbx6AdNzk6edv4shUhh98/1Z0TTLxyD4uueQcJoYDt9t+h5DLG3IqpJTlfwsG73qAuTNP7quE/Secxc92z3P8UJxYxQVVBGLpVvemIsgoo0uNguOTiOjM1jhbj8WtuqscNWT12CpufENRE9vzKbkeWdtjOGaQtgwmsyVytsd0zmE0bjISN9GERKlg/HjGeIq7JxdbtqL9C0USozqaWHqetRrzT2cdbto5z4a0xdqkSW2bjD/hHPjNA+Su+Xf46D/Vbadf9kwGP/JxFDA5X6gTkkIggp3NO+Rsj7sOLTAUC0TOy8VfXGThCcG1dKXOf3/iOrYNR9k735/0vHH8kSm5ZEoup42nUB36q7kWdZcSbt8/D4AmRDVoYcN73oL261vqV45Y8IOfsKcAw3GTubxNPKLXuTguFF1ihsQvuzVmbY/hvo6uBXt3dxEkCZJRoyrKbEfUkJR6zD5jSBgbsDB1Sbe7+KFLLsVp4Yab+r3fY8P73suemdaix0oQSkTvrZdQSnHPgQVu2z3Hz3fM1P2WKTokIvXu9J0CA6YzdufntEtbwXU3PF/huD6G3n4c6u7evbzCGxCDgyTOO2/525f/3Xgmdp/cWQDayK43v4XNH/0IEGRS6NYW++VwtjlgKH3Hr/oqo3KMta7ttZw0mkATYOkag1GjZXaDWiJ6IG6vjGNMLbjfK6QiOskIHMnabExHQQR9jC4Dt3rlKf7y+oe71tvSJRdtSLNhwOK6h6bZv3CEK08aYUu6HOy9bwdS+T0/a2OZedb89HqMpz0LCATuV/zhFXS/08u8/EXVDEutMDTR8h1xOmNjaJKIHohhRYPzckSXOK5P1JTlII7geaSJIFjD9RWGJhmOmTx96zDzPY4LJt/6VqyTTiRx+ul1yzUpqm7N3VBKMV+wufdQ4HB//EgctfT6SczQOWUsxWLJYc98gQOZAmsTVnksE9AqkGzdUBQpljJQmfpShoDawPNWBgJjKYtcyWWh0F50PbVYIp2o/5arCFyLK8+tiC7KQe+q5XXTZVCfw4slJtIWNJyzdt/ebNfnSKZYdX2v4Hh+k2NwJQdV1JDVAE1fKfKOz46ZXNdr5KnWzs3BO5lL1JDoUlTHLwNW8D1K+/C/MP/X7yP9g2+33IcA0HVO27UTCL77dejWQ0JCQkJCQkJCQkJC6ggFwiEhISEhISGrwoa//Wu2v+yVq15u5ePuP3/mdfzpmz8PBC4Lmujtw3k3/AZnitWQcpiaZOCGm5h7xUuJPHBP2/VEIs4Z99/LuZpsm4Ju2UQiUFqey53+klcSMzSGojoby5OwQUbfIH11sU26SqCa+lcvH48ENAkDMYN4RK8KF2Sj+/P/QHFwLb0IhZeLJgS7ZpcmFRWQdVxieuuhvlLBP7Xi4Fanv3bZpqsvY8/1rdNhjv/xS5vW70TuJVcx8o3voFTQPtrOcx8lHdtiySNmBPdcyfUZLgtLKvoMfzWd0FXZpXw1VfwrQLAkzuqbHhzbH03nGsf1q05A3dCPYkUV9Wb6Ah41kWBIM/kzziF+9x19b1eRW1730DR754ucu669m9OxplP3slB0uzpfNnE0NcSJRE8ugXV85vMtFx+tag5YOrkVuENLAcNRs5rlYrXv/mPSm3jLO/6ZvEM6qqMJgaVLNgxEAkEFQRrzkuuTsjQGozrbG8R580rw4stO4L9urBcmzeds5nMOonzBr7r66bzwWedi6BoHJ+e5cGOa+fd/COO97zyqIuHDCwWUEPgeCKGwPcA0wW7vHle7L4Ab3/IhAG4/uMDZEylqP8kKAiFS5X52PBWIzKUgb3tld9X6Vt84XvFVIF72PFWX2OXX+xYYS5gMxXQiusTSdcYSiv0LRRxPMZWzWZOw6p5drg+njae4Z3Kx5THtmM2xdSheFhUrXOUDgVjqrskM++aLHC47ND48nSdTdBiJaqxLR+vKib/qD+BVf9BUfr5hsBI1Ja7ns1hy2TWbrzsTs3mnTiTc77WVLJ1Zw3d59esvxwe2f/KGjts19r1rUxEONjiMbxuJs2Ewxt424r921LqYe0ohfvxDNn7w3a2Pq1REPfUCJoaGmfzy99CloOR4RDRB0tKZLosiK+e0VtC1ovjMq64Ogjzb4Ps+uaKLVU4f3w6lOrwL1KBLqqnpm8qoWTp/84/Z97u/27acxc9+lvs/+1niHcSEQDm4r/WT5tZdM+ybK1CwXQ7OF3nwcLblejFzdadd3LK7cS9ZfVqxmu847dDWTnDyra3fGXuh7zFCB7Lf+AZ89CMASCkYiAbZZCIdAqv6wVeK4ZiBELA2GfRtrXvM9vT6bUAKwXjCClzGy+LLhKkRN4N+3VeKg4tFIuWA1wq252FqwTN5seQhhWTQMhiORprcZA0pe8q0okt4xvFDGJpk02CUJ25Kc9baJEKB7XuBe/AfvaLvc/CUa/6R2ycPcO9Vr2YoZmA4dl/tIPeHryT+b63HjL5SdUETFTwFXoNINqILSm69q2zFvR6C4/d80EX9/Zh73Wv6qC3sfvaVnLp3T9N16HYJlFIcXChw96GFuoAB2/UxzQa3WgUJU8fURPmdIEsiorF1MI6uiXKwXf0ec0WXZNSgchdGDFkX4FXB8xWJiIahSTwVBCBEDA2tPG5pdb6hPCYseVWRbytKbvDdESGImgLlB7WUIujtC46PJsvP4RYPssY9K6XIlVymM3Zb0W1t/xgzJXm7+ZkJENMliYjWU6Bn1naIG7IswA+WxQ2diWQEx/erz2cIvnFnik6w7K1/ycJb/5LUVz5L+nOfrq6jDQ1x6l13Vg/Y1CqZBbpWJSQkJCQkJCQkJCQkBAgFwiEhISEhISGrRPppT0XEoqh8azeelVI7aLns5LFVE4a4fpD2MGrIajrPysfgQMgq0GXg5lH7jy5FkMqt8t/lf6SoSf1603UA7Hz7u5j9wlKK0sgpJ3P6jZ0nnVfKSffeyYPH9+eyUzmnw//33ehSsnUohhCU01Qr8o7CMmqn0ZvRJCQjOrGIxrAQZZei8It1BQUUbKcqwlC0dm5ZKXvm8kHqQlWfYlGppcmP8d//nZ7SC1fmXTZc+ST2XfeLpt8je3b1V7lHHkaIYLKlm2jgaJF3fOKmRsTSmWlwblsoOF3TWfaD4/tVodijTXWi7sxz4K7+RJLa2/+y6zrWKk24L4dMh3S5FXRNYMhgUvG4oRg7Z3sT7KykBzN12Wea2P8ZBMJ4QLVOh75a9FOyJgWZD3+a+NPPW5Yo6scve1PfjpLHglUXoB7l5nrN33+dV7/jRb1dg4GBwGm0BV4nS85lEbh/9y2obsA/ym3+mCAkHS1PO2C7PpahYXs+k5lm8exwzGgSB1cYHBvg9648lc9ed199dXwPUMSjJlc+9VQsU+dwxibjC3ZM5zCe8nRGeqxfRWbb6xVSwOwb3sbu/QtMpCIMWRFMLXhviNx+D7NnnNh1e4Br3/Ev1WV3T2Y5ayIIMlBK4aMQCIrl8aBefpT6Zfc5R/k8Mp0DIG5qmJogU3SbggsrzqeNNfCU4vYDGeKG5LJtgygVPA9NTeKUxeC5FoFlvg8njMSZLzpIIcg7S+JXx1M8Mp1jLGECcChTQpOCn+ycx2kYQI0nDK6/8yCurxiI6nzkxWe1PV+f/8yn+OH3vsWppz+BN7zt3SRqsldIIVgoOi3fQipZIdzkAHpmoW357WhsDxJ41esv55oakbAm4MqTRhmOGSgF65NWXQlbRxLYns/Ja1IsFhxKns/WkUS57v2NK/XaPuSOW9n4wXd33caYnWHixVdw4KvXV5e1z/0BHrCSUdv6Fz6PTnlyZrKBG260S1CW6vGtfv1QvThYldPEDydNKu6RuV27OoqDa8mdfXJHkXArLW3OcfnvB6awbZfbH5luG0ySjul84qVPQJOimo7e9Vo7YVYITlP3c1Fwmp0ue0UexQA5OTbGKXfcvipltRLNPviUi1dc6nAi0vM3pG7CXaUUD0/lqn+Pxa2y4+gqU/PAkkKwNhHF0kromiBpmtUsNUr5yIEoe+cLTXW3PUUiIklHBSXPQ9fMtsLMdgjg9IkEG1IRtg7FSUR0FosuQzGDF52+hvmCy1zOQRfBNzWpVF9no1Lnc2/4Mvde9WpOfWPvAuMqd9xeddJXZUGwr5YEv90wtOC7nld2YG5nR+D6YOrBt8A68eitv+z7/eLBvVNsXDOIgmq2maLtkYrqTQH1vq/YM5fjvsnWWXD2LxQ4Zcxo0c8IThhOIiVM5WxsLxDvtmoDliHIlTzytseaAat8NIK1g9Em13VfKUZTkaYj1jXJ2sEo8zm7zklYELwXVzInuH6wTJOiLrNTdX0hcFy/hdA4+NvzIWpoXU+45ytmsyWybQS9UlDzLVehaUEQuSZaJ7tyfRiKmWRK3b97520fPxbU1TKCILCi7TNg6TxY03+kLL0uE8LUbI5f3z+J3PBULv3GK3j2meuI1gScVFyDH83g7JCQkJCQkJCQkJCQxyehQDgkJCQkJCRk1Tj5+9/l/qdeturlViYMjn/kdjY+91k8+7TxZZUTfEhtEPlW/6FpWZ3YdwUc9w8f5Lh/+OCKy+mHRCKBcfw2nEeaU6u2ojKZsfUHNxAdiHZYqxfCL9WdmM+7daJYy1j98+Uruk6ERQ7u7atM6TWLpvR7fwv0f8Uz996PdsJJFJ0gZWetK8+xot2kvqcg2aMrTC+Y2vLkF74KJh8bqSxRZeFQP1QcBeOf/QK5s/tLjW695OVIIBmtdzxEVOokcD3FYt7G1CW6FqTNFKK6Zs8sR5udsoyO6UwhcNuuTORa+rERM7e6ho9nlFIIEQheqldeQMlTZEoeSimytsfe+SK+ggs3pIgehT6uH6KGpOgqfrV3gazt87w16xk6vL/nSfyK5G7PU648uhVdJqutRT3q/oKJBJ/7+6/zqne8qLqo5SEMDxP/4c/bFrP6Roit0093I25q5B2vWp+RuPn4HwX9zkvhv77Ufb0ytact7/jkHb/tM/bAYvvsFhnbAyvCWdtG+e32qerybM5mbHSAl//Jy/n5pA2TMwCsjen8zXUP8ZKLNrLpGzey4YXBO0h7yWLATz/8FS5+a/fsBwrwEgkG/s//YVTTSJpBJgzbAzwfKWDkngeZftL5sLjYdC4qf//gH75MNj4EwIUbBvB8RdzUOJDJU3J9Co5PKqKzPhXt+t6Rsz1yBP3aVK5E2jLw/eb9BoJUxfaZJWfTnONz0845Lts6hO4JoobE1AX5ksdC0cGMSTQh6upgSI3RmIbn+0xm6q+dpxSHapa5nmL9QIRdc0uBFMMxg5/efxjr4CH+5qtvRwK5yitRIkHsJ7/m0OQkzzj3RFSNKP32W37BNf/6CQA++qnP8LyrX1bOgtD6Jl0sugzHDA7823+x6aWXr8wZt2bbV77+cj7/yRtYkzC5cMMAG2rekYyG7ACmJlk/EGMgamA7PuMD0erzst++peAu3T8b//JNdXVqV18F6AtzMDkJ48G7smiz3/VXXbwicTCmyUDUaFrs+z6O51OwvbZirFp0KXp2tfWVQquKIRULeYds0S0LhAN2XfzUHg8gIPeHryL+b9e0/M3x/Op5Lbkeh7I2t+1fqIq4zto6wgN7Z5nNNQeonbgmydq0xVSmFPQjfmeBuC5rx1Xdz8dyn/uy24a11uN9cNq+7u+UvTrlUl7PnZ5m9otfZOFb38LLZHEPH+67XrX7bbX/VmejNrC21zqPlLNbrVZwaSeEEEgp8JWou55CSBKG4OTRBDtmc03viI7nkyl5CGA80e5bT3sUsHUoysa0xUjcwPEUC0WHrO0yn196/5ovtnZo7enYyvt52Z++ALPUn+t6BV+pum8ggzGDgZhB0fHIlVwieiC6jZk6PopcycN2PaKGxnTWqYpRY4asBu00UusabOmSHbN5fKUYpP/njnfV5RxpMdadyztsHokhhGAub7NzJkve9joGsXkKFksOwzGz6TtQpR8aippBJh2hcBu66Fj5m0wlaGMmYzOcjABB9q+huE626FW/kyatJZfhRqQQDCUiRA2NhaKD7wfXpdRwTiti7l5F3I3kSh4DseZnEeVyC7bHTNZuKUCuUDmCqti73AbafaMSQhDTtZ4Cf0biJjnHI2nWB8Wbmsa24RjbZ/IopZjL2hxeLHL/w0c4PJ/nzE1DvPD8TZiGxjlbR6ri4FAYHBISEhISEhISEhKyUkKBcEhISEhISMiqETvheLb8+/9j1x/88VEp/w/m72LNBa+tTjo0inpbiX/1GgHw497RrU/O/OlN3P20Z2A/9FDL31XDf2/8+S+IbtrQocT/XeevHzIFh8VaB9N2uQsBZxmTH6tONhCM9HpFKxN2yX/5BzJveHt1efxnNy5r9+pH38M8+WR8FQhKWjq0PIrNzdQkgbfaylHLlKl0myTrt0RDE3UOPPKFV+N/49qettU+8A9BGbpkKBHpa7/HqrXruiQd0+smqTvVRiDaOgOtJob22HCPXg0U8NB0gbzjs1h0e7q2jQKqY4UmA3fMnbMFHpyqFxl8+72f4ep3vpREZq7j3VkrErnpiz9mA4G77OIqBQ88VmknKFtVEgmu+eQNbPrZdTztyx8L9lv5bWCA+M2/OgaVqKffIeK6lEXM0DBkkFnB8RUKhSm1x/14M/6u/0uuD4EwgD1WH7zXLrV0LzzxrHVVgfB4OoqMW8QHknjmkghkImHynTv2c+raJHnHxx5IsPu/fsimFz+jbbmVGj21LA6uXSYa/gYoDQxx92e+jXYox5njSdyGL6i+goKjGPnFbRQcn9x7/hzn+usQvk92cIRv/fV/AoHz7FM3D3LqWIKYqSFQ7J0vVNPEAyyW3GoARuM96Nacy4q4KW5oTOcd7p5cZOtQjLipB6nGhUIiKLgu22eaBVbZUiDebBTalvIOs3mHmKmxLmVhaVqd8KVTkx6JGxRdH0ngggcwYGlEpeDX26f4mw++rHp+685zNkv27JP589kjdeLgRt78utfwhc//B9dcez2LHcRRQgDpNDMvfw3DX/pM2/69n1GZBly8ZZBTRuPojdkgGk5K1NTZYOrYro9e8+zzFYwPRJr2WX3GlK875XopBTdWBPL3/ranbB/VbYENv/9C9n3vl9WFwzXiKV8pzBc/F61UWtEwe/y221v0c4p9MwU0LXDgrNZLBIK6pvqKpaw9vXBwrsBwwmShEARaChTrh2IoBUIsUxJ+x6/b7y9TxFEKlOCH22eagh6Kvmqrpb111xxv+epdvOFpx5GyjCaxpgD8cgtwPB9NaHgKDAmG6m3sbGo0OYxqQuFVlGOi+YwUHZd4pP1U0KYvf4k9L31ZD3tfYuJf/xW/oT9pahq1Qla6O/Me+eePMP3JT4IQqOLKMje0Evy26u8b6dyaFAfmC9X1hmImmUwWnvGUZdXPNgx0KXB/8WM2/NU7EeWG5UXj/PZrN3LSSJx4RSBIIL48sFgkFdHRxFIbEELgekGWHN1V5B2PuKkFDq3lNqig7v1HAJGaDFG+gmedMMw9k1n21wT0mJrgSVuGkQImF4pc99AUxw1GWZ+qdVKH1Qj5jZTyy35/bHx/jhhBJpeoqdc5sELQv6djQaiEUorp7NK3HEWz+NPUBUrVuwYXXZ9b9s0zmbF59XIqPD/f9qf9szkmszaHs0vXQZOCuCGb3kWkgAHLoOR5SCHQRPBcaSWMdcsOyZVrbukSx/eb+uOhhFnzV+DIbHsKPMXatEWkh8xBht49EFyTgTi4VngN1D1H2pG1HX6zr8jxo4myYLlc27LDfKcxQ3U/quLaX78/t8M4VgrJiSNJ8o4bBEstlvBaPBD2zhfYPNgsyPd8iGg6J44keP937+fQQomrz5rgfS85m3QicMVvRCuLgx/nrxghISEhISEhISEhIY8yoUA4JCQkJCQkZFUZvvJZRL73bR58/ovA7p7yvVcEsPGpF7F2JIqmBcKux7sA41hw2s0/xPXh3rPOxp+ervtNAV4qzYFrvsXwcIqBTb0maA5pxPMV9mNB+Nsj0RuvW9Z2Q9+5lqHvXIsCDv7Ze/DSw8sqx0uPVSfLo4akcLRVmn2yWl2LoYmjk26W/py4NFFxDVvaIvruv6YAXUXC2rvfj/Xs5wD07PL2aJGKmmQKblvRb+PE3XHD8Wra9s4s/xoa+uNXIKxUkJp+Ou+yc6bQ1kmrEw9NFzhlLNrxPvCUYudskZm8wwUbUss+27qEmKFzOGfz24MZih365Gs/9BW2/PQ6Lv7Kx9quo4AdZz6Rn//xe2EhmJwfiRlsSBvEIsfGgboXVruPUcdwaLXnKVdyzVOu5PiRGJdve3yNQRZLLqmIUR6LCswWTWJd2mJyYWXipkeNDRtg376uq1XuskP/+d91yy/cmMJXgdixIvJQNc8ggcD2/SD1+a0/4/gPvquuJT8fODyygZ+8+5PYUmM0FcEwNTQhsPbt4rw3/B6X1/TpvqbzsT/7ONuuuREyWZ751hdj2MF965kRNHtJEFm7H9Xwb4BMeoQjX7qO4ZjBffcHQs27J7O86uy1JM3mz6hFxydqCIrv+QBffPbrmn73FPxs9xxbh6LsW8gzGrewWghrts/mymnjdSaSVtnNE4o1Nn+DUYOhsmtf0fXJ2h47ZvOMJUwkgum8jSFFXX/d2EeUPNXWfS6iSQ4sFMk7HluHYvgKEqaOEIIBS6fgeFi6xmJpSXTjeIpsySOiSzamLU4dS7BnOsu9BzP83w+8pKXAtXothOCfBkd5y9w0v3GC67Ve03lKxCIpJXlfcYtd5LZf/oJP/vOHuOo1b2K+i+An+7t/hLt+I2N//96m/TX+dycqo6atb34lya9/Gwiei52eLYrguT+oLwVTaVIQK7tP98bSmhve/tqet6og/aX2ooCZfP37+KbDB/sus5bIN69jZGgAAMf1yNkeiUggjBYS9IaANLfNO1K/AUSuDzNZG10KsrbD3oUC9x7JAHDccAz/siet4Kjq8ZXiwekc90y2HyMmdcFcvv23jrsPLLJjOs/J46m65bqErO2yY3ZJwH/mRAo8KDq9tRLXby3Qc1yP/XPtnzlHFm2ipkvR9lu2R//4M/GhJ1G6Kv9zy8Yz4YHJ6nJTE2wdSlTdbTUJG4fjddt2Euge/rsPMvO5z6FK7d3mV0ovZ7nTOlPZEr89uADARMrCvvwSmJnqsEXnffz0pW/i6c88v+l3vZDjxOdciAdYdz+I6wfP0bG4yf6FIg9NZdk4GEUowWLJ44GpLA9N5ThnfYp4WZTfys1fyCWFsK5R52wKsHUozrbhOPdMZvjprjl84DmnjCEE7JzJc+veOTalLSK6YKHk4Pg+QghSEYOUqePFl9pXv0PKft5v25YhAjHrxqEYZk/vYYq8Xf9cKTg+lrHk+moZEl/5pCwD11N1Tr7PO3GUu9757uVVtiHTkFIKV/lM521m8w4j8Xp3XM9X5Byf4bjBTM5Bl4KIFmQDEMD6gRi+r1g/FDjY50oulqHheor5vB2My1CohiAOr+EVb92gVfetdSHvkCnWPFt6/CYwlel8H0uxNEYsOD5xU1JyFZrsHCztK5/pgs1U1gbg4GKRbSNx1iQjRDRZDSTpBVMTTc7Glbp1rrsgYRoopdDTgvmiUxf4BUGWEbNDsHBEl/z+EzczX3B44dnrq8sF9d+jpKD8/bunQwoJCQkJCQkJCQkJCWmL6PWFbjU499xz1e23337M9hcSEhISEhLy6HL7xMZVLe/cQ93TV4bUoxTUGozsns1y76FM03pDMYMnbnl8iXMeS8zn7I6TxJ2wDNHzhHArdCm4a3Khv41u+Qmb3v+OZcvKGt2Y+i1H//GtRFIpIrpsOSEDYPtej+LN1WcwqjNX6O44043hmNE2jashocd5q5ZIurs09dq2cq96KdxzV90y8fQrSP3jRxCoaj0NTbB+KLa8Ch8F/HLq0KLrMRwPxDgLebtlumegyTF4seSwb6HQdT8xQ2PLYLzreo0IYMNwDO2Y5AFV7JpaXjredtx3JMPNO+dWXM6565MkGtwDK5POWdvn9v2L1T7l4i1pajVDvgomRWsdFoP/BhCkozpSBCnKK5OypiZwfPjlnvmOQq5GoqU88aEBEqaGLgXbZ9q3jXPXJUk+RkTCKUuvOmTVtbQW7oHVv4WoF0vWrKgU/HLPAiACEUFDubVntPI5SSlVv7zmNwGcMBqj4HjImt9r11ubinDmeBJdyqqoqLZE1/eb8n3vnsvh+EvrKVV+HsnA4a32W1crb8nKvitrDcWMaur4XrF0yZbBeNu07SMJg7mcs6pO5ctNw9yJRte2CrmLngCl9mKzSi32/M3H4JwL+tpnzNDYlI5ROPdUUJ3b2fV//D4mz7wIgFe9/vLWbrRlfKlxy1du5pHpAroMRIWVbTr1xJUyvvxHf8fs5pPI2x6+UrziiZs4mLEZsDQSpla9X2r8XjmUddgzVyRW7ucOZey6sqWAJ28O+jZfwU92zQMwkTRJWzoDUR2lYCiqU3R9YoYkX3M94qZWFXlpAraUhbs7awSGncYtj0wX6pwgn7ol3SR80USQcl0pRbZBUBbVNWzPw1PBeoYmiZsaQgTi4JSlE9M1NCGr/XTGtvEvPg/drj8X7cj5Pm+am+KNyTQnGyagMBE4BE6re12Xr2UXef1de5AC5gvNLvaN9/BgVGfuge2se9frMAp50HXIZXuqT4VKu5S/voeoLhFCVvu2iXS90LuTsK2b6K3+d8V37wsElxuvuKDvcbYC9lx/K0BVRFYh/cH3MPDjG5Y1/jdOOokTfnADuaJLwtLxUeyZrn9ORg0ZBE3WdHq6RlMq+4GoRipq1J0TUT4Lrc5TwfbIlzyKjs9cycaQkoWiw1zBYf1VF6MvU0yqgNmbb2c8YVWfP0IoHpnOsXexxP2Hm99Dzv7Kv3D6T7/ddA4fWbOVj730fXXL3nTpVp6wYbD6tybhcLZU5wgKcOJIotmhugubRmJNz55uAuFu7dBXigd2T7LpRZdW129Fte//+k0Qrx8fnzSaqHO1tQzJRLr1u1BjfQp3383OF129YtfgpR0ITtu7p+3+eiqixTb3Hpxn91zQ9je/4tkwM7Os6jWW2+l8C2Do7gfxVeA6fd+RDCiFp+Dnexbq3G7PGE8wHGvvCXTmRKp6T3Z7H5UCDmVLZG2P3XMFDmdtXnHGeHV/Qggc3+fh6fq+NXLdNxn/+AeX1dcoYP4lryL91Wv62t4Hsj/5DbMFh7gpedq2sZ4NBQ7PF+qeu1KAIQWGLklaBpYZtGlB4Mq7fzZfd84zZ5+8rG8ivPjlxN/1f1FK4SifI9lSnfjYkKBo7QS8YcBiIGIGrtASBqIGpi6IGnpXJen+2RxOuQ2YmkBRn/lhLGkSLzvyer7P3oZ3IknQBzXup/FZlik4dc7MtUQNiaeWAkgqscyKpWwJjd+JfKXIOS77FwpNDs+1nDmeovETU+7OO2DHdrjiSuKJRHV5Y5al2vpVxsZRU1br5nh+k6AawPE9Hm74dhXRJWNxk4Rp1I1ZFYqReISBWBBoWPueG4yz2h9bSEhISEhISEhISEhIN4QQdyilzm31W+ggHBISEhISEnLUMLZsxtm1+9Guxv9qKp5tKDi0UCT3Pzw1esH2EC2m/mp1Ra1EQitFCoiV7QMbBVpNyxqI6JJ460yCTbSapCw5PkMxo/pD9RhrZiF8VL2LylMu6b6zLvWo0I9DUDAhItjrSo7sXRIe1h5XRXjR6JhzLOkho2VPzOQd4qZOwtBX7Hieu+RCWKgXgssnPpH0p/+jbllFOBYzZdfUzemYTjpmwnXfXlHdHi0eOZLhkekcmhBsHIyybTRBoYVTVgVdE3g1wrr9PYiDV4JlyGMkDg7YMtJFvN1nVa6588DyK1PDbw9mMTXBcNzE9xW6JtgyaIFSPDxdn0bY8RRSh6mcy/2Hc9XfooYkGdHJlty6CXxBcF0rk/LPOH6oKqS7aONAVQSnCASJ332wvYhDSyaYzjlMtxGY17L9SJZfPDSF56uWk8rt6OSat5x11w1avOzCpWCsunVVh207BIrHDMn5G1Jtf18OI3Gj63l94PobGf3+14mPjcEfvJ74+Hj1twOLxTrBBDQL/gFGEyZjsfp0171i6YKJRI2jWvn/Wt02tcEtlfX2zBe4acds3XqXbR1m61AUo6mQpQVNx6Farla3gtVUYPC3LAtQW114y5Bt00ELFMmoqIqqDywUufPgInztZja+/Q9IPnRfy+0U8NtPfR0xPg5Ft064m7L0jl2OpcuqOLjVoda2/yv+3/u49h3/wov+/g0d3WghcE+96MUXU/jij5kruFzxV6/rSbRTGYe89F//nH98/7UMxg0mF4tVQV/aigcCHQW37l/k7LVJDBk0kLsPBcKohSJsG442lXvhxoFq4EPt+OJQxq4TE5+3Psloi7GPIUV1TFRwfLbPNAeDaB3EhY2Sy7sOZTltPI4mBSMxA99XlFwf1/MptAjaKtSoOz0FnutXHYpjhiRh6EhRv/+YoVPoURwMwcfpTw2NoVPJeBCcsCDBueAEw+TP0kOIyy5g4Qe3BGnWTQ1DC4RT8wW36rZY6WuGYyYbLzwDfvxLpAQUzJ15Us91qh4zsHs2z3DMYF0qunS/Ntxnx85+o3dEQ6WSP75hWeWctq8SpKtYKDjMZG0i5TFORA+yZSgUUUPDVwo7v9RfN4qDAQbjkf7GxaZgJuvgK59Di0UiumRzOs7AU89e8XnPlDyUKrJ1KI4uJXnHWwpKaaBVgAIEqx5/eAcf/+gr+cqffZKZkQk8X3HXvgXuO7jIrbtmufK0cU6YSLTMmjJfdBiJRZqWd8L3FbKNC/NowqTk+Sw2BA3IxudNK+Jx9lx/KxuedSGyzVhBAXtrxMFSwLoBi7iu14mDIQhkbUftO6QCpv/131B99Bvd2Pz1zllSeqHxDBRstyoOjhRzyxYHQ/9u5rNnnIz7y7u47cACpia593CW4ZiBr4Jnj1KByLKba27tZe3WHHwFa+IR1sRhYyrC9tk8ClGnC9UEnDKaZPtsDrusnCxd+QLUxz/Y13HWHq/1xrfAV69p+e2mFQo4/MZ3USoE/X/O9lksOgxEzd72KYN3iagh8VE4rkJKQSKiE61JERGIcQVrBiwOLxTxVTAmXG5Ic+yd78b2PCazJTKl5iAfx4eRuN5yDL1voYg+KIkZOqYmmc05SCAZ9RmMmx372HWDMRYLDq7n4yua3meOZGxGlEKXgsnF5nvSBw7OF1k7aFF7herbkyAZNUlGDfbP5IOgPqWYLdrMFRxGYiZDNdfH0pcEuZUxtqkJNBk85wuOy+75Qtvg8loOZIp4T3kCqVZ92N+8l5wQML6W5PdvbNu+KufD1ASFmm8qUV2Q8z08Pzhvlh60j4imsXkwWu0fKsexb6FIOuoyFo8wW3AwNMHJa1LEazILVK6VIHCZDwkJCQkJCQkJCQkJOVqEAuGQkJCQkJCQo8aZv/zpqrkIJ571zFUp538bgmDSZiZnU3J8QHH2+jQDlkHecdk+lUUBKevRE2OuJocXio/KBP1w3GDNwPJESbCydJrTXrFv10Oon5RdLsvZdv61b+a2fYvMdnHoPXMiwVD00XldWc0sK3vnC6xNRUhHGibqejx5uRc9D3Y90vI3/5e/ZPaMk+Cv/o74c55P1BCYZbFAN3EwBJP2KxUurza+Uvxk+xQTKYsTx5LM5Gz2z+fJ2m51AnMsEWHjYKzqmuopxa7ZPAcWCpwwnGxbthT1d9qJowlm8zbT5ZSrq413NAptSxsl4wroR/jaCddXuL4iP19ky1CUI5kSpibJFJ2qkKDCnvkiOdtrEoMWHJ+C0zxB3eh41UjtJcjZHmtTJgdbTHRD4GYc1WVLgVzTflVzSuZe6OeM9rKuWoELeXtWryGlIjrrBiwWi+2fUeuuvgw9m63f8ze+Fogtnvks4h/8MKmI3tQmWp2fubzDaHRJeDYQ1Vko2qSjJvP5Lq7wDYetyv/Xaj+K+rYV0WBdyuJPnrSJ6x+c4jcHg0wNtu+3cbEOlukSiqtyDbu3loghiUV6e6YWZwvctn8RgNve/GEAxu+6hSd95eMYdonZ8Y384O3/vLTrQ82urE/cNECkjXgNwP/MJzsK1StUeu124uBW60vgpPe+iZve+g+M7G39/Gy3LUDKLfLAZIlLTh7jZ7sXyDs+BxZLJL79Fc79yqeovNm4us4PPvoNEEvCvtp2IYAnbR4IhMRV2h/zbfsznDwa48SxWJ2l43y57UeN+qwLhiZIRXQWSy4dMlgTafhxvujy890LPPP4oer4cShmEDU0TBmIcWbygTtrN/KOj08goEFRdTks/vmfdd22ro49uKdaQuK7DvE//WPyf/+puj7B0gNXY61mTCOEKDsIqu4pFzrg6RVxtsc9k4HjfdrSSVoaltmbzV+3lt7ud98w0Vo8+zohgDPWpEBAxnaZrnlHWFHvrnz2zhaqzokFx8fSJUOJSN14Mleqbze1rueGFoxT+x17GpokakgWih6+CvadO+cU5EqPCVg/YJEyDVy/7FZPIKIdjRtctHGgvJbihOdc1LYPqg1oeOk/vZ43vuZTkEgwuVhk62iCeETnq3cc4OIThjl/63DT9lO5EqOxSF9jhFbnUNdk1dna8nzyJa/OeVRIAsV7D+z7/q8YjhmYVz8bfeoIAN7QMMVv3tDg1G0wnrDaOunrnTqnMgpQnsfi974H/uoMbPTNm0med17X9XptPzunswgJ++aWAjTGXvSMZdauf4J6KvRijlNG4+Rdj9HEIDdvnyNmSHbNFqri75PHJEmz/XlfLDkMxyKUY1wwKkHGZTWu7fpN70UxQ5IHTh5NVs+ZWb63KwEiUUPWjev3Xnsjm66+rGeRby2aFGTOvYjk7bd03b4SF1W68gV1y+89tMAFm4Z7aoNjqQiT88W6IMSC47NmQLZ0erYMjXWDUXIld9lZpCDoE3fOFapBN62YyTnVwLSRuMFQNIJAMVdwgiw6MbMqrPWBhYKLJgUDsfbiaCEE6ZhZd2yV7x+up5jNlZjOOkSN9ucuVfOdptO3LKWouvnOFm0mM4GD+oHFQGBdEQlX3puVUngo5go2A5aBKYPnbN7xehIHp9/xOuJ33VF3rM11UnDoAJknnEz8Nw+glMIPpO/Vvsz1FXFTUiw/66KmJB03mcnZXHPrPjYNWkQNjaztUXB89s4HzudnTiTYMBCpBqxCkPXA82HzUIyNg7HANZjgO60mqYr7BV3Nn0NCQkJCQkJCQkJCQlZEKBAOCQkJCQkJeVxw0n/8+6NdhcclQgQTD+MDEcZSJrM5h33zBbZPZzl1PMVFW0Ye7Sr+z2CFX/IfDVHz3PNfxtC3vrxq5XUSHFd+W9i4jf8+41nQRRz8aJOzvZbulMvl4GIJLxFMgLWbQG9ZjxdcCXt2dl/xPX9OLpHCesbTmwSXR4vs5CS7L7wIvBqlgRBsvulGEtu2Lb9gFZz/7dM59s0VKLU4nl2zeXbNNjso2p5iOl9iuEcXNk1IRuMWmZLbkyi0b8IJvibWJk02DZgUXMUj03nWpSIccJZSbR9cXF6a8F45e22S0XiJu2oEjTFDsiYZ4dBiqWV7eywjjoLL1GqYXgvgpLEEGmVhRat+L5tl49WXtXRjrPKD75P7yc1Yv7i96adW2lLXV3hKIVBIBINxk6GEyUIP4g3RUd7QuC7oGuhSYrs+tquIGYKEqXHZ1mHSUY2bd8yXy2xN1JDLEpl3ozYlci0LBZehuNnTeKXRcRZg8syL+PqZF/Vcj0em85w6FmsrBEz957/3LBpaTpNcv/1uLts2uKztX/LRP+V9v/9hknGTpBBYn/83Lrju803rGa7LlW94Hgr4z0/ewETKJOe4DFiBoP2CjakGcXAQmHP6eJy0ZZC2DAqux03bZ6v61Qem8mRtr8mJGAKxkgAGozqer8jbHotFh4SlM5WxSUV0TE0wX3SrDs6+CoT6gzGDOw4EwvWEKXnS5jS26zMSMxiwDCKaRAhZbT9rkzqj8QiZkgMCDmdKbQNpZvKlqrvhWNxkTdLC/clPOFoZsmN3/6ZpWbHsajwSXxJE+WX3Q0+pXrTobcn96FckymVUipkvumRsl05vUZ6vcCpjCxG4eCsF+ZKLZWodXZ/HE8E4xvnOTWhXPLm/CieSwfhVtcqaImiWu/VGyVVNadUdX1GyPYSpIct2xU5NUIQulzJbAIwkzLZO5t0wdYkhJesHLPbfcdeKh1gK8KUkomt1/VRFBCxF4CwPMPG7z+/Lifyjn3kdb3/rFxiOR/jtvoXq7xG99bH7CrKOQ7bkYmoaCDiSLVXFvQOWzvpUlKihBWJIpfB9H03WlyeFwCqfX12TTAxYOL6P4/qYuoaPYjZr9xwAVnB9Fv7gT5j44HsQvo82M43809fB33wMCLIDjMWsjoJvrSZ+rdNevcXMqinjrPPOZds3vtFS2Nn4t+rwd4WpbJEdMzmKbiAU3DQY5bSJAe71jn1mJvdZlzL33z8GAnf5y7YNcvdkjnxNIEHju2DC1MjZHhFD4nk+mhAtxx+B0B/iEY2i46OUwtBk8LypWX/J9bR++0FLx/UVSgWjCJVOMfmjX7Pm6ecH6/d4jPIlL2cyU8L/wEcwXvcyrF07O2aBUsDe629tKmeu4DJbsBlLdA/i9n3VcuzUqtaV/RYdj4FY8H1tWZSDWNamLHa2eK+t3V8qojOYNtCFrN5vo/HgXi84PsmIVj73gWttruRh6i5Rs3nq1/d9bNcvB7jUB9UAGLpgzUAU2/XIFd2gLdRsv2W0krEmWN/zfGSboGOlFAfm8liG5GCmwHSuPuDlUKbIeDIQPGftwL39wGKxKgQ+krXZNhwnomnEDb3rSF299Y8YuO+3dcfTitrfMmefzOQPb8P2gvM4Go9gaRqaFGyfybMmaeJ7CrvokYqa2K7PWWuTmJogakju3Z7lzIkkGwYiLJZcCo7HA0dynLImgS4DcXDUkFy4eajuGaDLGrfg8JtBSEhISEhISEhISMgxIhQIh4SEhISEhBxVTrrz1zz4hPOXX4AQnHtwz+pV6H8xUghGEiYjCROlVNXJozLh/2iIVEMCVuIgvFwyr30LAz/4Nlo+V63DcqjUfc/QWjbNHmx7HPMXXMy3XvWXfZUdM2pnTVS9M1+5whWXR0TgGohoL8nq9TwrIGFodWJB0fgfZacXVTam8/0l8UitC41Zdi3KOy6mJhi0zLr6tyOXzfYmDq7w1jfAPQ/1vv4KuHfT5tYOX0qx+5JLgdp01P1Re32WI9aczJawzCDluVL1J9nzfSxD4PuBmLjCSWNJds7myJTcVXUStpYpgvmfTM7xGLR0Bi3BGeMJ5gsOW4ai7JotdN94NfZvewxFdZ55/BA/fGSW44ajHFwoHbP9rzadBKgrKLQz2SzrX/4stJo04J5usv8r34dEgolkhLF4BLcmQ3srV/aKOLjrEZSKOFdcCl/4Tt3idrfqQ9OB+HswaiCEwNDAWWUNj+srJlIWrlJk8g73Hl7kpNEED09muH3vPLGYwUjcQO9ycMf6ub9vNs/6ofai3QqrYaI/lXPwES1FokNvfk1v176BXtevPOuNQnvBTSdiuTmedPwIu+aKPPGr/8IJP/l21/2/6vWX87lP3gDA2lSEzYMWVhsH5ZGYwVDUZCIZiJZOGImzZ65QHRcYmmC+jXuvIhA9ARgyMBqeK7tjL9akJ2/MLJGKaDx58wA/373AhgELu/wSkLIMLL31p2FDSoaigVC16PhIAUMxE4koO08KFIqc4wLB/o7kbI7kbNZ3OFcrQZZd98Rvfo06u/n9suQu3eyzeYcd5TaQMDXipkZ0/QbYv6+nfVVcKWudiqUIRHSNLuKtxpdF2+VIZqmfHEuaTGdsfGBTCwE4BH3l4YXiUqBTLNJ36vr4T3/dcnk6qpN90UsZ+Hr/wYFKKQ4vFuuWGVrgtDiVbe9wbOgStyajxWLRJS0FZhuhbDuyRYeFgosQgoGIif7GV/V3AA1UrtW+f/k8Gz0fS9Na/l7BPDLZc9kVF/Pj1yS4r+wmD3DRcUOcXnUkbiZre2W35+Z7f6HokrOznDgSZMmIGRKjhzz0ui7RkURrjET9mGIq092VOvkv/8DQd66tWyZRJO64lcQVF+AkEgz85Na2z5OgfYCuiZ6edTJiolYouNWvfA7r/vkj6FJSfTlcBXaVxcEQBCNMpCw8Xz0qmj5ZKnDCSJzJbKmaSWVDOoJlSAq2x5GcQ6Es7hVCkI7qbBqIgwjeRWfzNiXPR5c+OTsIdHA9Rc7xOGkswbaROAiB7/nMFVwWOwT1NgVWCVnnmlph6nVvZexTH+75ihz8w7fglwMLDn/qy3Dvb9n89tc2DU4UkD33ImY/8JG2Ze2czjEaj3QZ9ygOzje/B0g6v6+XHJ/5/PLGGQDiRS8BwNJk2+AuU5M8bdsIUsDkQqmtuH8wYdYFnSilyBbdajuoZWqxhJQCXZMofCRB5oDGjx2mrmEmNDRNMtPUzy+VmS2PPZodixV7Z/L4ChzPJ6JrdY7mAJccP4opJZOLBR4uj99rXYtjhmS+6BAzvOrzvyUHdrH+D1+OVu5D+nGpF4D5rx/Ffs0byZQ8MqU8uhS4vuJnuxd48qYUQghSEQ1DShaKDqePx3loKo8mBE/aPFBtmiOxpaxslfNy4micwZjZNGbokGQjJCQkJCQkJCQkJCTkqBEKhENCQkJCQkKOKonxcU7876/z0FUv6nvbcw8tT2AW0p2KaKaC75dFjopVFcj9T2UwHqRirnzX13pIXdmOlYqD0zGT8zYOctveueqyM9cOkI4aQf2E4JGpDAcWik3b7v/GTax95fMwpg53dVnqxqbZg/hA5pQzSe54COG5KE1n7qW/h/PK32f3XBGm+ptEy/fprjgcM1gT7+xk1QvtJulWg8q8nuxW/OVP7bvsmZdfDR/6GPHx8f4r1iP3btjYfaXyessVCa+U3bMFhqIGGwai1BoDuz74nsLUBTFDogTYTuD+uT4VY8dstmOKV1hyV5UicNla+nfg2FSraU5GwtftChNJk+OGoxjle3MoZnHiqMkdBxbIOz5TZpCidSUkTK1nh27H87l0a5obd8w3/aaV87tWYwHKTmj/W56Nnc7ghiufiKwR8FSeX5prs+nqyxBSEr/9Phpvo0bBaeIzH+9PIDp9hJSlV8UwvVB0PZRSON7qz8BHNIGmSfbM5FA+DERNXF+h65INwzFOWzvAr3+yq8mFPqLLQGzyKLUl14fJhSJjqUhH99LVOmP7FkpsTjc7uicfuvfYCKtuvGFZm/loPHHbEEoI1vcgDq5c0le9/nKu+eQNHFwscWixxHNOGkaXgaNn3NAwNFkOIAKz5vxLBFsGY9W/A8e57o6EUVPDKfbebxpScOWJw1z30Axbh6PETI1ogzi4UbwDYOmSLYMxio7fNL4S5f/VMp6IoD/5yagbf9hz3fpl+L/+k+kWAuFWgWQQiC+ztgf/fi2br7iga/mVYqav+WZ1mWVIbtmzyHy5H9q7YHMka6NrkvPWD9Sdm3zJpVDzTDMkdWLhA3MFoqZG0jLI2y6pqIHj+hxaWHLRz/3bp+FTH+1a1zqe+ay6P3UpGYkZFD2f+YILf/iWvgXCscsv58BcoW58IwBTE9iewtJl3cuM6yvcsnjScX1qtcAl12OxqBhJWPTa03ieR77U0M5XEMVQ2TJ71rnETzyRhNHbWK3fPuuF73sV9/3RJ4Cg7Vy4bahujCJFfXv1WgXe1XDqmiQV/fvYQO/nr5GoqWNoTlVoGClHsgghKDlBBpXBP38T8d8Ejqzt9mJks+TPO5347fcBYOplkWHZubrk+TgeZbFuPa0egyIaxVizBufgwd4PJpUi9qNfIGr6sels0HcuuZz2TrtWdcqaFK6/UA282D2TYzx57N2DIRCtbhiMosmgr53K2UxlHfbMFdkyZHHJmjgJUyOiB1kKNg7Eqv26KTXWpaLMF51qMFUtcVMru4wLNE1jKB5kSWiX7UCI4J1ZEAQAZu3WY7TCVS9hdv/eJsF5KyZ/9GuOH02U+whFRNPQTrkC8ZJ6w4CFgs3Pds50LW86Z+P5CqOlUD1YMp9zWgaSjaZM2t0BFZdx11fsWyhgX/Zc1tz4nZ7uyopQOvYX7w3KEpLN6RiHMsXq8wWCoI4nbh5Bll8+h+MGk4v1Qt2huEGqHBBXVz8hSJa/BTUed8nz8RzIlupF0WtSEWKR5uCNklP/LKvFcX3m8g5KQbboEotoRA2diBGMd2vHvHFd59Q1Se47nKnW61e7Zrj0hFGSEZ3hmIGvYK7gEDM0HN8n7/hVd+yhGvFtLetfeAlaPg8txNC9MvS1L5B9zRurf7u+wjIkrq8oeXDqWIy4qXM4WyRbckBIRuJBfbK2hy4Ch/hNgzF0KSi5Hjtm85y5doCJcn9dOWZdlp3VQ4FwSEhISEhISEhISMijQDhjGRISEhISEnLUSZ5/Huce2sv9z38h+Vub00Sv+/u/I/mMy8j9+jbil15CIpF4FGr5vxspy+6rlB1Ry//0mIH0McOxqq4uxbJT5Day0jrrUhI1tLq08LGy6GBpHVH3e22a5IOf/zaDUQPz9b9PpJKSsc86VCY8JDBw/10AlNZuZPI/voYmBHcdyDC13PSbfTCTd4ibOkmz9QRSL0QNcdTEwXV0O8nLcT685x549iWB29wlzyD+Tx9bRsXa89AzntnX+vc/4WxOubM5FfixQErB3oU8g1GTqK7h+j66FEQNHcfzybcQQW0ZjDGZLTHXIMzylSIdM1BKMZRoFrtVcD2f6UyJouMzlopgPs4dhFezP40aGmZNJzRftJnKlTA0QUpKzphIcMuehb72GdElWwajbExbjCdMkqbOVL5EptR9W4BWeuRNaYvjhlqlIlbcvHOhj9odG47l5PKGKy4I3NQa61D7h++TO/tk4r95oG6dxus69LUv9L1/601/yOLff6rn9QuOj+372J6PJiGq6VXhgKeC5QJRTantq95PZtb2ufOhKW54ZAZDwmnjSWbzDsNRnd8cyrKvLARsLLHkBi7mHV3QVojnKzTRfvxWdHxmszajqdYptz1fEdEE56xL4ilFOqIjhGKu4PHQdL6v5+Ou2QKb0xEMKRiOm1i6Bj//8TKOank4sf4FYgC3PPUFXDEUx7784p4dD6vrZLOQSKCAjelYs8v3Kt6z7jIG6XnH45Lj0vxs1zwvP2uiujxqSDQZON9niy6uX24LuqgGzrQV3tQs3jQYJWkYFP7uw7jnn76KHp71yGJr13dDEwzHDBCgyiLVAUvH0AVKBe6fu6+/lY3l/qyR2jP6ndf+NUKl2Or6/PZAhlLD+X5kKscfnL8h+KPhno5GNCYXlx5Gjd2L60Om6JEpC7zn825dfXLX/Hv/4uAX/g7xd/9V3SJDSiZSUe6dXCz/DbkTTyb2UNBH93JtIn//0bqsC7oUGJogV3YGdlr2ZooDmULV7bqRZ5w4VpdqvRv2MjJKNNdoifkrX4T2jr9gIma2FNYlaoOW7rh1WfsbLSxw1TnrODxXIBnV+emeRSw9yCwiCJ47F2xIYnsKKYI09LXEDFkXKFmJzdkyErjAL/cZoklBytLJ2x6eryi5Va9/NGDDwhH4TY/H7PvknnkxyR/+FNuteG437K9FEG2rugshGP7jP2b/hz7AA1tc7j5NUIhCpAQnP6g4416FWTM8902T6EtfUScOrq+aqgorV0rCMjhtYoBHpjIcWiwxloywbjDG/KqU3iciyIQSMwxu2jHDkzcNUnJ98o5HtHxPVQIiXM/D92PU3umeD0nT4Ixxg6LrUXR9srbLluE4EykryIhTDpITQrAmZbF/roDX4r1JCMiX+wEpBGuTFoNRnbm8i0JVxaFFzyfzhreTedXrWP+KZ6OXSnVtQAA85yqif/W3XDaSWHGgb6t6NtbeVz57pjtnD6kIqxtro4CZvM33H57iNwfKLuEv+hNedeN3Wq7fVB+Ak0+pWxY1dDal48xPBu8aG9JRzlhbH3himTpRww2CFsvteyBqtHgZULieX10vU3QZiBoYeuAy3a47jZRdyT3frzr+KoKxa4XxdLR6hJ4fOMtX4jVsT2HnXeZxA4dcGfR3hdrgByU4fU0KKeCuyUUKrs8tu2fQpWSmJvNBvkGxPRY3mS86pCJ6kCFCE/hKkbjiyWiFQjUofjm02kqXgtlydob7j+QYjenknTxrkhHWpmIczBRZLLqcPJpkIhGtC/bwFeyaK3LL3kWuOHlNdQ8K0EV3Z+qQkJCQkJCQkJCQkJCjSSgQDgkJCQkJCTlmnPKtb3T8PfG85x6jmoR0QojA1UID9LKQ1PODj92Pdb3wsTLmW8k3/dptV1LXqrslQYroZ58y0Xbd09emOX1tuvr33tkcdx9arP49X3BQ//T/gj+yWTZdfdmy61OpU+TgXtY/+4ns/94vOX4kxlSuu7huMKrjK8jZ7rLPzb6FAieN6D07idZyNJ2Djzk3/5DcRU8gfsudq1ak8+CDfa3vT0+v2r77ZTpnMxwz2DmbZ8OARcH1GItZHa+vFJKYqTUJhBUwGG9Mm9qMrknWDFi4nuop9fNjHbUCh75Gds4W2DlbIG5IThtPsHu+hO36DMUMds0WsMsT2e0QwGjCZE3CZCwe/DttGcu6z6tlttr0cTZhu4qXqEorYcbYn/xuS3FwO3LPfQbx7yy5h/oNFe3LPZjgHrTuXgo26PVZv30mV/3vk0YTVHz/MyWXA4v1rvonjsTRZW+CNSnghkcC5zrHhzsPZhiO6uyZD8q8dzJw5mvVxopOIKKyjlIfYXsKvZJdvQ3ZksdIG6e12WwJAaTqXOQEg1Gdc9YluXXvIk6NEmLrcBSBYPtM66CWQxmbS44bQhPB8ebe9qZlHNXycJ76DPwPvQepeksFXzmq497xpxQ8H212tu8u4RV/+XK++NFvc+pYnFiXIJHgvqgP4ArqoRhPRurqBIEYp/Ze0qVgJC4pun61L/CVKgtVVMsmIBEg4HmnjBAzgmAyx/NZKLjEdIFmBqIe2/N4ZDbLSaPJrsc8uWhz7+EcUgp2zxVRQN72eKauo7u9u373Q+by5xEzNCxDIoXA9nyyJbdOZDkYDYRE80WXlKUHTphlodPe628les2nGP3y55qu8ZHYIH/9hx8jogueqUlu3btIKzwF//STnbztace1+FVgyKB/ANCERGqqTmjbSN3o5KP/1PUc1O3t1nuq4sCmcn04Y2KAB6cWQcHURz/H2ldciTEz3VXALX9+W1OdpaSlWLBC1nHYM9deeHfCaIK7D8xz7sahnoSAmqYxkY6SL7nM552WLtfdqGxhv//viD37OaR9Rd52iep6U3YApRTpqLEkEF63qe/9VdClIGJqpJMWs3NFiq6iWLYBHozqHMzYpCI6O2cLHMrYPOuEIYquz0lrEownLO7YP0+m5GJqonzeA9Girgk8z8dXCikEUpbdKQOVXNd6Gbqk0CJwUwkBL72qv4OcnmqbYUETQX/SKx988P1Mvk4AEjuytN3+tYofPB2e9lOfi24N+nNhmMirX9ayHFOTq67AS9WMOffNF1kseYihIdTs7KrupxtDf/chjuRKzOUdThlLIIXit3vmmc2V0DTJoRmB4/pccsoY7/vWw1x43BB/9JTmPsrzwZAaiZjBaRMpZNnpufF6SSlYm7ZYyDvkbA9fKUxNkrSC4KFcKei5VDmwPKJp5OwihRpRqSDI8hEZG6T4w1vwlKoLHliTMElEdExN8shUlpLroYDTJwba9hFRXWPA0lkoO+6etiaJJiXZksOO2frxSMvm2UM3YpWf4a1WzZY8fnswU7fsmn/8Jq9+2wuq67dtgUPDDH7lG7h+8LyufH8QwMZ0lKSls2U43lSC6yk0CdnyOcdTFByPqFk7vauYzznM5evv70zRw9JF1Tm8FXtn6/vtpKWhS1m3TfX7k1JMLRbbllcR8da+d1uGoOAExywEnD6eAuDh6QylDmOFiaTFcNRkTcLC8X12zOTIlBTcdQcDFXHwKhE1JL4Kxq53HQrG8gtFl3uO5DlhyML2fKbyQRDgSaPJuowpUsBvDy3y093zALz63HXUXkNDwgqSjoWEhISEhISEhISEhKwKoUA4JCQkJCQkJCSkLUKUUyiW55yrzsL+Y18sfDSwdIkmRcfU3O2oCJpW47ytVAjdNBle+0fZ+a6yn+VQ2U7zPSb+8MXc/Lef62mbbMnD8RUb0xbRZYqnlILJbJG1yWjv9RWBU1fFDe1YcEzun1KR3OWXEL/h5hUXlZ2cXNZ2M9/5DsPPfXSCP9JRg82DcVKWRq7kki35LORt7tg7z0LB5kimhGVoPOu0cUrKx/MVtusz/K43EH3gPtAEmSdeQvFd7+t5n0IIDP1xpjI9huQcn1v3LYmtDix2tvvdMhjl3HUphqMG+irPqkoROEtKASeOxgIBTjtBiYKLtwzgeIEwaiZTbL3eMtk4FGXTSJxfbp9mKGZWXd4rEr+y3q+8XKFU8IuprX5ba1VidPtD/RVyYH/dn6stZBai/zLzjkfcCJwoj+RatbvezqUU8KW7DrFp0Arch4GFkoulSWbauGW2YjnapZU++yO6xFcKTQqKrkfU0KuBAAoo2h4F22tbN0MKnrwpxXzRI2P72J7HjpkCxw21f94+NJXnoo2DxCvG/stoDKrm370KfRVw+4Est//ff+Pqv/qDnre1128E4OBikfU9blOL7gRta/tMnrsmM2wbjmFI0daxLxCLi7KwWwTOoEoxHG12q9ck3D251H+etiaFUpCsiV8pum6TOKrCSWMJtLJPrakJbFeRKTm4nmK2YDM6FidT8sjbLvMlh5KruP9Ihk3pKHHTwPdVSyGgT+DYnYho7JkvYmgSXQq+8LHreNXrLwc6n0enLODWe7gpqkLPZ1+F53hNLoP1LJW3WHRJR/WqQFgCyTe8mQOvfh3pqMFs3uFnD01x++75qgC15Cq+c/t+jh9PctK6FDMFj1LDhXzmiaNtj240ZXGwHDRQcn2kAMuQFLsEouX+8YMdf29EAcUXPYfpz3+DhKmRMHVMrV4s7HqKk0ZSTOWLHFwscfCL15G45tMMffmzTeUJgFSK+I9vJaKLqsNs1Ki4SzYLnbWyaNj2ffbPd3Pl9Dl7w2BfLqGaFCQsnWzJZeENf9TzdhUEQDzO0HOfH7R9TzFkmW1cUUU5E0n5OT8+vqz9KSDjKrJKMNpinbmC2+SwrEmBqUvWpaIslhxydvC77SlKno8uJJMLBcaSFkcypSZx3kBUJx7RWSw4VQdYgISlYxlaILIuONhuhzbo9/8ulPvHDxJ/27ualvczbvuzd27m0HqBazS3C6csFv7JUyT5qOLSWy38j34abXS06ZEyGDNIxw2W+xbb6Tm7JmmRs10MKZCA872b0S48c1n7WS6JF76AHQczJAyNrSNRfvDINLouMHRJLlfiFw8e5vSTJlgsujz9lFF+eP8UL3zCWkYTVsvjSkS0qjgYWh+7rkmGkxGGyie70q5ypRYicyU4biiBrgnuO7yI6wfj1YqrcdorkrjqGaRcu26fU8+7mh2vf3tdWTO5EhdvHWUu55COGehaTXiZgA2pGBsGghKkELieImrobBmMkbNdjuTs9gfVgpghScfNamYJTbZ36t44GEUToj4ALhbjc5+8gZe+7UVY+WyzSzKgXf1SEu9+X/WZH9GpimgVkI4YbBhacn32y89H2/WZXCjiq+B7VOVZNp0pMZGW1XOTKTSLg6t1EAKvxRis8k7hKh/HC4IYcrZH9ojLORvSjCZNZnM2nr80dhVCYBlan4HVS3dX5VEqROdsCJYuGYqawbhOBcE2W4Zi7J0vMPbO1/ex795qd9OOOTako+yYXhpH6TLIiJG2NOzyMyNmyKa+Z99isSoOhmDMVVtGKA4OCQkJCQkJCQkJCXksEAqEQ0JCQkJCQkJCekaK4B9dBh/p/bJbzDLMnB6XDMQMYpHlDaEfT6coc/6TSf3656tSlrlvD4cyNglTY8CUHCm41QltXcCaZAStnK54x0wgKtg7XyRt6cSM5c2kNLpVdsLQAjHOUord/2FMLU/Y28jcxz+xrO2mP/GJR00gPF9wWJuKEjM14pZBbjrHIzNZPn/r3vo6ZktcceYEG579RKRfLzZK/+g6+NF13JdIcOoD9x/L6j/qCNFJJrF6nDwWJ2FqpKN6MHVcVvINR02Go8aqpxquIICz1ya6rhesLNAATQ+2LCyzb2rFmRtSPOu0cVIxgydtG6Kfriiiiaa0972i2jjINi3Zt6P18i7kfvVL4hc+EeivT+4FsQyF8OGyM26xnTCqxwO889Ai03mH6QYBRtyQJEyN4biBVk7/3sk5Uamjk/UgakiEAOnVizmFWEoT7XiKyfkSUpTwFcRMDdf3yyniu1RKCAYsjX2LJabLDpS261edhOcKTl2aaAU8PJ3jCROBUxxSLkuA5hFktuiVnWc+KXAAHd/A7lPOY/P9t7UVCVcO15Ua89d8A+l6HR1Se6HkKQ4uFjl+OIbnU3aMVji+qhMLVwSjphYId0wpUG1aRkUsWKHVWomIQTsOZ4psTMdwveD+f2QmU9d/rB0w2TtXoOD4zBVdNAmOF4iddQnHDcYwtOYx8LpUhPPWJ0lGNAwpcf1AYGR7ij3f/xWbn3UhQNXtFMBTClsppnyPT2YWeF96CL3Hm9AZGqaXbq+xNIHA0iWWIcnbHpmSy2DMZLosInvyiaOcs3kQgPm8g3z/X3Deg79sKscHvvHWfyK77TROHmv/DGmMJfQVFB2/TtzVki9d0/3gGojs38NkySVbctk23Po9xfUVCdMAAhF79lWvJfuq1wKg//A6krsfYe65L+X407ZiliNDNSEQKKwah0uzhUW5EIL7jrR2Wq7F0iWbhuLLdv+3DAm/+Omyto3/7HaAqmN3JzfnWqKGXFbgpDe6htG4QUSX7JqrDypKRTTOmEgigYOZEvvmi1y6bRApgv70xkem6tbflI6il13YHQ8OzLcOUrJdn4VCw76iOpoUZIsO01n76LyzX/tlaCkQFi3PWWPf9TcfeTqH1rUWB9fimILbzoWpMY8/PvecpsCLiC67ioMr+263hqL9s3kiZTEUNTi0ENxDcQGZ574AvvPNjvWuYkbA7hwY14n4n70T21UcNxRDF4K4ZXDcUJSpnINd9LBtD8vUuXPfArN5m7M3pjllIslfX/cgb336NjYNJ+qOTQpIRts/MxrpZzweBCUkOZIrVoW6659/KVpxKbNDbWmD376WwW9fy55/+xJs2ApAzvb5+c4ZNg9EyZSdgmOGZChpUnK8avAciOozQSmIGToxQ2ciFcX22gc91bImZRIz9Z6jt5RSbd3Mv/KPXwdg/M6fc+qtP2Tjto2I176R2MhIcG58VXUN9lTQbivjMylgarFIMmpQsD0yRRejrCyt7K52TO36sG+2QNLS+P/svXecLUld9/+u6njypHvn5rvhbs4BliA5Cwo/HkTJIA+iiIoEBR5RHgMoD6AoSREERJScJC5LWBBYNhA25705TJ6TO1T9/uhzzpzQJ82du+wu/X697p2Z093V1dXVVdWnPt9PTWcdVqrx4uDmcXnXYLUWIoVmsea3+sK4a8m7JrM5FyEEppQcXqkRhBpbRvcuZRvU/BBB9H2gH6qO9qU7xXpMv9c8th1DgGMaFFyLmYzdM2S0pMHuiRQ1Nmbhl2ZQWdYx2VFIsXepyq5Jl8WKz2o9JO9aTLgmPzlU4ldOKmBJQcVX0Vgb+MTPDwNwtOyTtQ2ece4sZ89m8ULVundJ6HBCQkJCQkJCQkJCwn2FRCCckJCQkJCQkJCwLoRoLB3Kmli4KRh+oHI8OrXWkowbkpMTy9JfvoPsUx+ODIPjmtBoTkI+8lPv4upn/QFfvH6ex5y/FT+MRJi7p1ItUXA36ykn15Tsnkhjjujw7DYm5KLJ4Hv3zgwt1y3b4MihDTlX+XdfTOb9Hz6+ROzRJ5DbEULe63U/9/5/IP/NLyGU5shDLiP7oQ8S+CE3Hiry4e/v7c1jpcLuJ18W/R6TngZ0qcQNO3dx7v59MXs8MLk3JjPPnc3y8F0TrQnUXzYedfo0D9kzTaBhsY/j14ninuU6ZS9kJmOTdwxcUyLRPTe+8MmPr+8E//JuaAmEOzetR2xVOfv81u/rqZtxwoR2lO699m5W6j7fa3MHa6fccFFrLUsPXLgl1zetWqBaApGNwJSiJXyrjOiG37wvlUaetdZUg5BDQxyyhRCcO5vhu3cto4EDDSfwbXmHparPRMok70SiNAnMlb01QfqHPw4v/K2xr+/f3/v1kdxoNRAYBt97+Z+3PvvOK/+a8z/3QS6+/JN9+6FiYZrPvPXjbDlU5JzN6bHzt3Z+wekzaR536jRG26CxXRDa7iLb3GPppS+Ca65aS0gI0n/zNtK/9uutOrJYXXNcbOzS07HqAcL5XYVIHAzRvW8XB0+kLK47sMqmrI0XajKmAAG5huB4seKzf7VG1jHJWGZjlQeBIdbqXbEeEkm5YSJlkpOC2YxLZWIClpe5zqtzKAxICcm8Cvl6rcKNfnRN+dVl/jg/QUr07wuaIp5DH/9K330GsdQQTtUChdVwX2+Kg5ukGkGAZzz94a17013fJPCsd76GxU3buOPBl3PWbPdzrtEaDizGP0d+fzvpddFeDTRROzWTEoiYspQCMrbRePbX7r/x1F9nU95lFoFhCKzGTTUMgaU6HS7j2tJRr+kxp21qBE6M34oLIYiXm46G1gpDSoZ0BQAorZjN2nhKUawFVC64iMzPfjL6uYD6Z7+KO19lS87m4m1ZQqVZqgVMpSxCpVoC5Z0Fh5MmnChQICYI1RQwkbIHumwOYrUaUKwGJ2wMrgERxjt5m30cWLs/Wzx8B2rHiAECJpRSfqwrux8oVis++XS8SLh97DGoPOK2NQMcbMtoCTqVhsz/fQvlXH64sP/Kq8lks5QvPmvwfgMwXvBiirWQWhBQDzXz1TrzRY89Ew7l+SJX3HiIC8/cyi3zVfYuRP+avOPyO3jTU89ke8P5tuorcq55XEF4g440ZOdKGDue/kiMer2vYByi/Xe/7Lns/fAXWs7dxXpA0BZcUvEVlcVay9F8EEGo2TmZjg3WklJw8qY0SmnkmG1SzQtYqfg84+zNrXw32/1jZY9NGRuNJjzjGcz+72eTsfpPv2odtakpW6K1xgs0ZU/hh16rjWhvcy0jeqa6x4/FWkixFr96AIBjSbYVXBCC6VyU7sG7F1r9Yhxbc27rd9uSbJtY+1sDltk7hjUkWFK2VvpImQLVOKAe9oY/mVJw/pY8JS9o9E8mSrWJofu016YcJ2RsOMUH/wpzFZ9AKfZMpzmwUqPqK3YWXPav1Fiu+pw2k+b6A6u4huCZF25Da/ja7fMcLfukbcnLH7KT02YyrWequQ5E02AhISEhISEhISEhISHhvkAiEE5ISEhISEhISDhu2sXCpo6++A8bX+7fHwSx9wbt5XDv+HIOYvjZ93/5f9j+rMdhlkqtz9Y7t3HKt7/Cdx/zAiZSFgePFTljW560a/UVB8P6HCdrgcIL1UgCYccUPYKdjRJqbQSZr1xxXJPIHfz4quH7DGHy5S9n5V8/OPZxm1/96tglVk9E/d/+G0/ALHY62Pnf+hY3nXQyyjA47Yc/o+z1ihhe9n+f25G3bto//2USCVuGoBYM3+94OHUq9UsrDn78WZu4+OTJ4wqqGfdQrTU0hCEVXzFX9pkrr4kDDCk4dSrF0ZIXLXVuCM4p15lYfxbXztvG0jOew9Tn/3O0Yxs/59/5gdZnJ8JUet9ylR/uW2H3RIrNWZtSPWQmY7Et5+KFiivuXGT/ymDh7DjYhhgqWu53nKZzSWYhIkc62xTr7sfSlsBX4CnYknUoe0GPS3I7Arh4ew5DSp54xgwfvvogB1ZqCGC5GrBc7Ww8HnnSJK5pULjgQpYax49yG5uiUICPvPfrvPCVT0G2KUa6x1Oek+bjf9/r5njnb/4Oq7/9+8ze8hPO+OvXIMIQLQSrj38qK695E2nL4PSFCqfPpCl7IVKAkhKp1FhjH+O9H+CJe2YG7iOIRDGh0iy/+o8ILv9a73VrTeWNr6Pyxtfh/vfXcXbuYqmtTNOWESuQqwbxQr1uDpVqTKZMQg1fuGmeJ+yZQgNXH1hFIzhpwiHvmvhKUaxHTo1VX1H1PeZYE9VesDVPWvQKdZSCnYUUSsHkd3/E0gVnclvg8Z7iCl7P3vC5apmK1vxpfhIJZGKWvNdA5XvXQfn4gymyttlXGLXzKQ8ZWD+bdW5q7hBLL34BfPXzHdv9UPUVBwON5/TEvQUcK3kUHAs7Rj+Vcywec1pv4EKoNCuV6M5MZZ2ObUvlOl5l8GBglHp35my2Yfy+vgZca41prPNY4Ei5zpasgyGNvsEZSmuWax6Hi50ur8V3fIDM4y8d6Dzbfi5lO2gNk6lo2qXihUymLWqBour3llXL/TQmvbNm8+sWB7fn6UQSTkzEfm6OoIorlUoc3iZQ5oj3VgqOzcJ3v/13POoxf9qxSQFLLYFwf9rvY1zZxL2nH1qqkrKNyPG0oV60DIEfajKvfT289vUE734n9Q+tjVWQEv77CjINsSsAv/dH8L53Db/Obt76zlab75omNa/OH37yBkKlmc7YpGyJOzPBLfOd79a2FPzTcy7ENqMGwQs0bsOpuVQPyacU5rrH4fH3TAq4fb681i788Lt9xcHdqWlg14ufzr6vRe+u02nruAIDSvWAlDJRWpPpEOBHacpBKz30yZ9lGgTKY3ve7TlmZyHV8XdLyCyicVtzFaUg7A0Sq7X1C16oO5yFm2m1gjXGeKjzrslU1mobPEc/d0+mWays9D1uoeJhLJQ5ZSaLFALHMrocqAVp22gFmUH0/V/YNkazDYEXagwBlhE5oEsiwXLVV63vDFOm2SiX0a9rY9yDo9bg6lf8Bftvm2fXpgyHqj4P213gxqPl1rhfadBKc+eRItsKLvVA8embj/LY06b57QfvxJSiQ2wvoxirljj4BC2Gk5CQkJCQkJCQkJCQMDaJQDghISEhISEhIWFDEc0vxBsT00pHQoHwASAW3qhV0psTk7+w8hhxlqL85SvZmnWp/toT0YcOrO9URNf5/L98EZ96x+co5Bw0gjsGiIMhcghaD3cvVThjJhsrEi6VSuy97rM4bp5t5zyedKZtaej74sTNM38DPvupE5f+GNecbZ/cHoOJJz6h4+84sXD35+th15Mv6+v2JwAZhvgPPpff//ev855rjrW2XXTDd0cWqjUpl8tkMpnjy/D9gMmU1XCEPHEcj3PZ/Zknn7uZ872jbH/KryIaE+nKTXPgY1+CbP8l6zeCq/av9hWRhkpTDxQrbcrw0uN/k50/uHysc2hAvPB/t/7uPlvxd1/FZEMgPEoN8CemO/4+EbVGaViphfz8SGn4zqOmOaBl80I9tmBACFqOcu00xybrKZeUJfFCRcXXuJbEMUwcA7K2xbZ8ilvnih1Os+08ds8UW/KRGCYM1xxG4wi1puj57Fuukr/kIUxe+6OhYrtmWp9+3T8AkZPm4jd/THlplR3P+VUMr9bax89N8B9/9wkALCnYkneYSZtkbRNTRs5+Qgh46EM58OUfkLaNjoCRih+yPe9gGYKptEWpHrD/nz/G7pc9d3ghNhBA5iEPH7pf1VdYEqqveSXht6/om1aT2tOeRO3LV4Cx1jZkLQPXjIQ37Q7dadNA0vvMraWqqYchixUPpSFlRYP1m46VOH1ThrsWa0gBp0zYrNYDUqYk55jUAxUraNcaLEOys5Ci7AUstolumxohISBz3c1cc9JMQ+gVX0u+XqtwRa3CY9wUT3bTTEiDQGsudFPIv/173Mc9ARGGGEKyVPVwTYPV+vhRLDNpi4V+4vcffhep9chCtvwN17FUWROTeoGi3NZvWlL0OtbGWT8fB+0i+iZxjpmDMKRgOuv0pKO1xg8G59UyBGFdcepU5LytAKU0e5c7x/lSQKDGEyN2izirXgibNsPcsX6H9NAsn8WKz3TaRhCJ9NKWxFdrgr1aGHLnQjk2jZIX8sm//DDP/vMX92232oXs//VPX+KJjRtvNtxJR3NZ7i3re3WUtM5qaXz6yz1iYCEY6V5f97NPE4w5O2WEcMdd3+gRCAPsmEzRr9S63ba7PxtE1jFZams30rZkNu9Cwym1VPOZf+WrOfnP/09LyF7zQhbLfkfbmXnZ71L+t3+G2ngBR5knPaXj77xrsylrc2S1zkLZg/iqyyNOn2mJg5vUfEXGlkghqHoh+dT6BMKqj72r0jCbs7lnKWoDdv3fPxk5zeY72UkZQSGfA00r/83vmARgNQTlg4KilNbcPl9iruQhgAu2FQDYnHMJteboao20bZC2DTK22RiTDRcMG1JgmxKvj3N2N+15dBr5VlpHY4GGyDyuErbnRAhaKw9AFBSWsiXVIStGzGQtcqlIZN19CsuQpCzJhGsxV/bYknPI2RYHVitUfIUUcLRY45SZtbFHdxoZp1Mg3I1hCAg1oYZmcSmiMrENgZQCrfVIzu5NlNZ4SnU8w+tBA0oIPv26t2HWFBNpi8mMzembLWxDcO5smpMmUxxYrTVcng2mcza/et4Wvrd3mVc/6uSeZ8sQYMpEEJyQkJCQkJCQkJCQcN8lEQgnJCQkJCQkJCScUKSIxMIm0QRaqBui4ROgjj3RgtuNTP94RMLHm4/NWYcH7Zps/W1IES0H2fyg8UvKkhxbqWP+9+UULz5rJOesfliBR66QYq7i01yCehCDlsnux0zGYibtYHQtq/zFf3ku18ufs1po+3DvnzGxpLnUeTRPeNF77pPq9cyf/SVlNz182dp7CeeSi6lfe93I+5s7dgzcHl/kmomUiSkjd81RBKo7n/LQoSLf5razXvAkznrr57j5SInJtMVLrvjXoel3c/dFF3PubbeOfVxCL6O4yz3QeEF2nge97AU99dWoVdj9rMehoeWcttEIIThlKsWNR/soSeid1C5t2QkwcvvffK7vPvtB2AtltNYtQUQ7+z59Ret6iUm7+Xlo2Rz6r6+w7XlPxVqY79i++JyXUHrR746Qq18Mw8rLtYaLO8bBDyORr9dQWgwaZ7mWIAg7hSteoGhoOYDI1e2MTTlunS9S7xIJTqctfnJwlUenbFzToNKl7tiUsXjorgmytoEUgqxtUvIicdXq37yL1DMfh1spDRXbHb3skZRPjtz0z9mSjUS9mQwHvvjd1r5pSzJXCXiYFGQsSaBUV6qio15r1oRG3UXUdD6eSlss7jyVIJPFLJeGCpkFYPzd3w/YK0KKSJSzUqr0FQfH8tTHwdeuouCaPOSkKaQQ7F+oYhoC1SbgVhoytoGUAlOKhjufxpSCkueTtS2UFjimpBYo7lmqsaPgUPZCbj5W5uzNGWqB4ppDZVZrAY88eQIpFCdPpXAMA7sh+FuoeGRtk1BFDoF5xyLvWOyeSDdWgBCEWiOJHCsBShddSP2qHw28zAC4vFbl8tqauPSWw6VWXc5KSdaCTelIzHqsXO1wQe+g66YVXDMKegvCvu7YJ40pZNPA9a96Lat/9MbYfU6dSuOaXV+9DxtvvvHN8JY3j5wPgPIFl464Z/+T99tiN+pKGNOgpG1JxVNMpR1MueZg7pgC15RA9KAtVT1SZqP+9BvfNwu08bB2iDm1plwPEIDzpa9Tf8hFI1zrGnOv+Qu25h2mUhalepTHZiCiZUQnCnX/pzxQisrMVj789s/xotc9s+81BIVJjnzq6zzZMhACso7BHfNVbp6rcNbmNNty9sB2+ZSpDGHYeS9G0hU3WM+7Uzuh1hQvuozsT64a+X1PAJlCgSDmwkZY0IWJ/Pax8gigBRiGE7tNaU2MeXb/tOjtC+I+m8jYpOyostim0SEmFQJyKZuMYzK3Wh8a5HrqjTdx56mnjJ7Jhzys5yMpBWduyXFktR5zwBpxzy1ALmWRsqO2ab21ZpCxtWOs3YVxAzEBePJj2HnLzSil+7r8hqqO1ppanyCGQCnmSpEzugZ+eqjpltvpmrs17zDlOmwtOLj2aFOlE2kbKX1Wq4ODVLpz1j6WMsTaiklVX+GYkVi4ectqwZqIVtIZPO2YkbB20HdJ2yZcnEYQUNw+m7IOJ09kEEIw4drIRtu7q5BBa001DJnO2K1z+KHCEKLjfjiWEa240CcTg5okL9TIUPcJaOrEMgSLVY/FikepIUjekU5jVCojHB2PAKSGX/nwn/CNN38dgFk/5H/uKfPIUyZRCnKO5LzZDAdXPWp+yENPncGyDF5y6Y5EHJyQkJCQkJCQkJCQcL/kl3Mtz4SEhISEhISEhF8IovHFuW2AY4Aloy/T7y9sdFaPR3B7PHlJ2yazObf1bzptk3NMso4ZuerVAjwvZLHkR5M3UiAuvOi481pbx3LqozLhmmxKO8iuXL7zH8/lfyYb4mAhOv4tTwq+mf4u7/6HCxBoTEmskO3EMNp5Mq99PZnrboZnj+5i2MODL1v/sW2c9vnPjzXrdeYPf7COswiWqwHzZZ9iPcQQMJEymc70WS64VELq8ZaAf96xq3nQ7gn+7cUPoiFfGY/qYPfrBwpqoyzTB3Af1OWfEFKW5PkP2cmfZffz4L/545ZYot+/3U/emGc2jun0YPFDnKvz4uadY51jdWKG79y1xDduX+DyOxbj61I2y96vXUXoRA60OuZf8dKHEsxuZfeTL2uJg9vLafo//y0qqzuOX7B/vMKqeIa0Lht8SqUjhznVKMDW0tZtpCyJKQU1X/cIulTDDbadUMFM2mFPwx20ScUPSZmSK26b43t3zXeIkH7jvFl+67yt7CqkmErZTLgWWkPesWjqSo5+9grmn/S02PveHBuJt76d7f/4Xh60Pc/TzpxmSzbqB0wJMxmbiZSJJQUVX5GxJI4hCJRmOm0PLatSPezfr9B0G7U4+JkrCLLZjrzFcfT3Xs2dFzyMQA8f54RKET79yUP360bOH6HkBdR8Rd0PEYKW+ymAaQj2r1YoeiErtYCFis9ixW/9fudihdvmSxhCkrEM0pbBTcfKHFips1QNOFL0WKj4LFWjYzTw3buX+fZdyziGiSFkY/lwmHDt2JUahIBARe6G6MaY34wE2v/xuW+29ttmGDzGSfFEN83FltP3y+nfeP5LoqW9tcILw9ZzuiYc7V9ek67FWZtyrX/bcykMKQljDkpbkjNm1ufePvHVL/TdNlf2MLsurjZEPJh51m+OfO7mlSz83XtanxlC9IyF1xjcJsUFamQcM/aodq1vEGqmsw5uo80JFeQcC1NKTCHZlHapeZq9C1WOrNS4e77S+28u+ln1ArTWHc9aqRYwV/Qo1kNM2wXXHXgd7fnXwAX/+3lcsG0its76IfjNOtuHmbTFQ3fledQ52yh/91qWv3MN3imnoxyXMJWh8rSns/Ctq1n93OWRmE5rVmsBxVpA1jE5e3OG2azNVLp/mxNluNflcxw2YlWGhbf+48C2roePf6bvpqPLdZRSBKEivgXVnHfu40mPq/ETcNmlL4/ddGi5FnOewcTtHfeZYxk4ltko596yllKScobLkx3LYNfH/n2kvImtW8m894Ox2556bu/qLi966C52TaZaf/cby5drAcsVb6SxT79aZfSpb4aEw8XxHJJ7KEeBbE0xatyZLENQD6LAKDvmCyVLir55bKfZXpZqAatVj1LNxw9DBtUjy5Tk3bXnWba5G3ekPeD0oY4CMJrUA40hOr8b80JNzVcd7ZMU0bNe8zVu1/cWKUuScQxO3pRuiYP7IcRamyG7ykkIwWrNZ6Xqo4GqF3BgscrR1VpHnbEMyURMuzaZNtlScMi7Uf+RsqJSdkxBypK4VuRerIgfqzb3c8zoOD/UGEK0xMEAB/79v4HjH0pvOwaPmInejW6dr1INNF+/bZHL71jiK7cucvt8jUOrdQopi5IfcNnuidiyNRJxcEJCQkJCQkJCQkLC/YBEIJyQkJCQkJCQkPALQYjoi3RrA8XCJ/o7+XoQUqkH1P3RlpQchfVOahzvZEioNHvny41/FfYuRP/2L1ap+ZFza3PJyEBp0h/6+HGeEabvuXPkfced5F6pBdw8V+KmuSIL1chN6R/fdT5Ht7ImCu49CQjB/u0hf/93FxOoE+NsvRFkXv+mdQuFM+//cOznYh1PzLn79oI1ROAgJefu3zd22nGEOnJ0XCj7sWKuHc972thpTvz9W3jDU86MndBMWGM99WO89GHCeWAvarSt4PKHjzuVVz3xNLZMppj9m8hlclDJNrftGkEkvJ47JCFWSDGIL775X0cSDDX3+exb/qPz8wEHHvjCd9j7tas4+Jo/p3Lmeaw++FfY+4GPs+9rV+Hs34tzYC/QK7xo/3v3K18I+0fvX+LZ+Po+LMVxNcnj5LApx2qSsiSGjFzqBgnhaoHqEWtMuDaOabKjsCY6qvqqJdRYrQVcvH1NXLkl68TWlVDBaW0izPIfv4l9X7uKvZ/5FtUduwkcB7HnDMT3riFz3c1knvRUXMvgwTsK1AOFF2p2FFxOm8oAUd/gx1yLP8jWsB0NWbu/gGax4jOTsah/9UpKn/wKyohx4jv1DCZ+dgviWVHffOtciYVKnUAr2s3lTBmJXZSOBLTMHR0tj23sesULCRX88J4Fjq7WO4Y1UsDPDq+0HJD7UQ1CqmEkGI6rB0dLHsvVgFOmUh2fWyO6vbcn6VqisZR42HIefnNhig9MbeITM1v488IUb8xP8o7JGb66aRsvzuTo7pX/79v+CYBjFY/bF8pUgs7x95ZsinQfEZQQAtn2rzmuzNomW/NOSyw/nbY4eTIbKx49XlbrvXXUGKUsP/ixobs0U53/7T/o+Dxty3ULRbtrhBQC0xDM5h12TKXYUnCYSJmt9tdr2NvapkRpzUzOwTHlwDZmWEN2ZKXOvvlKR27qXfc984OfjHwtx750JRowDdnXiRSiOn5yQ1jpmpLpjIVlRCMh15S4pkQKWKj4SCEIPvJfrHzt+9S+/j2Kr/o/lLyo7UxZstU2CiHI2pLZrIVgPDfgXyT7vnbV0KAIAN76TjJnnh27SYqoH9q7UGX/YjUSgM9VWKl4KKWo+QGHl2vcM19hel5jeaO12zLUbDmkOevcp5Oye4WhG/keFxfANYy0beJaEssQ7JpOU0itCezTtmTHZAopBPlHPYqTrv7xQEVh/rnP5aQrv9/zedULuPVoEYQg1Wj/DCk4YzbLJbsm+T9POZNnXxI5M4d9+sNiPezrLjwqos/zJISgHh7ndyVD2zBNqR6iiYIuvFD31AXLlJwylea06QynTWfYM53m1Ok0J0+lOWkyxY6Cy/a82+pDivWQhZLPXNHjwGKNlT5O802kjMZWKTvq29sDnBxTYg4wTG+7jJ48N29Z+yoroY7Ew7YRBdw0A01qgcZq5MOSUZDUppzDaLVVMJPt7HWjfEftniUFactgfrXGSjUqC0uKnv7FMqIyaI4dc67RcNw2ybgWKVtS9VVUPjoaP9Z8RdVXuJZEa4VrStKWxG4InuuBpuor6oFqFVHe7XpnzGSoPP5JccU4Ms0r2fOcJ7It1xlcJrTmlCmXQGsytsFKNeCpZ80i2laqEqyZH/wSLoqTkJCQkJCQkJCQkHA/5IE9G5eQkJCQkJCQkHC/QDTcUgzAbEywKB1NpN6X9JrLlQAISNsGs4VxFjAdjOAXc52jzguaEla9gMN/9Aa2vOut65ZRhaefDo2lPocx7iRL+6WYUrC6eISDW9VoVi5CcM+2SFTshxrLEKMLjO5lMq9/E+VPjiHW3tTrLnW8nHvXnZRKJe655FJoX9rTtjnpZz8lm12fC98wFso+kykTRPQsakDW1+fmu1INyLmJQHggJ3iiczZnt4QND0QytsFvP/IkaoHCV5rpP/19YNQp+wZHjsCWjX2GhRCcPJXi1rl4y75++fvIe7/OC1/xZGRba9vct/mJAj763q/3HDtKaxo84anMPeGpax+USthHDw3MU3ObBna97Lns+9pVI5wpHn0ieuFfsFhAoElZEi+MhBijUvUVZkNo0s5UyqLmByxXfbpX9DaE4PkXbWXKtQaOLWwZCe3aVxSY2jTB5Oe/0legKYTg9Oks1TDEkoKDpTqrtf5C2JI3WCSbtiSuZbSWtRYiXsSjgfmyT941EJtn2f/lyBXfMgSnTWVbIpkg1Jw6laHkB9y9WOFIqc6RUjSm2FFIMZu1Yx2bx6ZUxBCRo+CNx4qcO5ujWcki9+fRxi53LVTYnLUJteaxp052bBOsDZvO2JQmCBVCCEwDjLj7o7uHWZq0Lal4ikBBPVRIIagHivLFZ/HUVKbzZG28NJPn0U6K312ao6Y1P77tyFqqjRsUahUtq944qQZyjklljMA9Q0imXIeCY6G1xpRr/VB72hvFXYtlHnbS1NrS9V3naN4xLwg5vBzVm+xFl1D64Mfgpc/vm64AeO0b2PWc59NRmFq33Cw79hejja2730mEENiNvtoyJLYhWa4GBCoSq0kD6oHi0HINU4pWW9pPGOeNsJqIAvxAYTVU9mnHJAg19UCRtg2U1tg/u4WlpzweDh2Iv45Uii3X/ZyzUhZmQ6A+6PoDpbl7KRpT1gLVaqMs2XvcUjVgOm2xWg+BkKmUhdIBtUBhGxIpwth2cCMEZOVPfwLe8ubYbeG/fAjj0oce/0mIRMK59/w/Jr/06Y7PBcCmLWS+/u2BxxtSILWm+3Yvln0Wy53Cy7Mveg5HD//XSPmSCrLTuwGoeoqUJcgYkUCzHqiGk35I3Vc4psRqc2it/ugqlj/9aVSpiDmziZmXvxxn965WfW+v++t9N7cMydaJtQCLqazDRCYSHra7tAahopaZIHPtTViGIHjHW6hdeSXmphm2vPe9ZBtjv3K9V6Ra9UO+cv1hHMugHoQ85vQZnnHhdvKptfeap5y7lQt3TnSITHvS8ULI9N0MDC6HlCVJmbJDxBldm2bXRJq7Fyutfq8pnB0VY+vWjr978yB6XI+U7nSjlQKCrtcMU9JRJ5tBAF5M37lc9smnrD59gqZcD2LHVpqoLkbpxxzaleemsNkLNQKYyli4loFtShbLHqvVgFBFeTUleG1VQhM5oIdKsWsm1dfdOp5IZN1OM9+mhOm0SxBCsU3sXfZCZrpSqXgBVU8xnbWYLbiNMcFaHjKOScXzWtfYTlPobMpRxkiCrG1Q8kKytsGmrEPu7f/AXX/1V0x/5uOd/dawS+8mDHnIrgkOrta59u5FDu9f4MrrD/Hoh+1hz7Y8z7pgK6dvziIb4yCjYXTQPmZKSEhISEhISEhISEi4P5AIhBMSEhISEhISEu5TiMakthS0nFdCHU2g3BfcXQWQHuA4tx7aJyO7PzsRaK2HLilqyGjC6kixTj1UCKDwrGfj7NiE97pXj3e+xs87Dq+we1OWY7XhQo5RlgTtx1zJ46v//kTYPvoxyoAPvvOhvPTVPxzb1fFe58qr4ZEPGr6f4w6dwF8v2WyWc2+9BdhYgfswkd5Swx3RkqK1bOl6asrWCRfDEJEbsj/YIaob6+x4t7SE8dgznd7wNO9Lj+7vP+7UDhFk5mfXjJ3Gzt9+Jvu/8oONzBYAmzIWt87FbxvU9H70vV+DI0d4wV+/BEOtCUKUEHz0TR/uK2YeZQnrbnb+5hOj/Iyw70YIqk/E+GKjNQNixMZWCnAsSd1XfZcXHyWNbkIFs9kU2/MpAq255Vix5XQ3nbaYSdlDBR5KRy7C1x9ZZSJlMptxOgSa/RBCkDajrzDTljFQIKx0tDx1vaFiTtsGaUviBRrbFMyXfSq+YjJlUfJCZjIW8+XefqDQcKtb6TrXqZOZHsGQ0pA2TS7YUqAaBNyzVMELNctVD4FmNuuitG7lab2csSnHTceKANxwtMh5W/KoRjOTtY1WHzkITeQkXPZUz7OpW/9BqMLWpyUvxO5SY5V/9AN442ugVoOpafivz5PJZmnq8aIlwSVaQ/lhFw8ViLlScppl8/mZLRQvv5ZUZq2P2JJxsU1JuR7ih4qCY7FU81koexRS6wv2MYVEdws/VcikNEYXCWtNMN0tl+qkFih+emiFh540HaXbvZR746djGmRsg7IXuWJmLroErrs5XhD64peS+cPXxp9QiPj2bMT3qOZ96rerYQimsxYLJR8vjIIQmsL0QGkMGTnu1vsJgdfxCKRtk7TdOYURKk32W99hqepT++d3E3zuMwgVknnYw9jxrne1RMHtxH3WpJ9s2e8TrNp+Fyt+SKhpCYbTloEAyl3C9aHVasj28kMuAK9/oGXtd34bpqfJXN7rOrseir//Ooq//7rW35szNpsy7kjHGlIgEQRquCD8MY/7M25+7xc4JKv4Fn0LyvQ1W48KXvyqr7Q+q/qalCVaQk0p4OhKvSUWrfoK/wufxXv7W6Fc6khv8d//HWv7dna+/32kL7ywY9tGDglk1/VorTmyUms9N36o4VVvYPuf/QVZ1+xof9pX8zBE9J3IVMbhjx9/OgCHlqtsm0h19HlNthZSWDKqw3H4oUbpzhWcmn1CexDGIKp9nnNLSLbnXfYuV1FSIkeoB+2cddWPhu7TnWKgOkWm3ashQO9KFKaMBM2OGTnNtwt+FbBQ8pjJ2W1HarSGhWKdYn20wJSmAFihkURfdEWO4rrVTtqGoJAymcq2nwumMjZp2+DISh0/1D11qclExhpJHNzZtgtsQ1LzFUJAypRU/KawWXY8u64p0cQH0NR8xUTabAjUe7e7IwSDWgZkHTOqj40BaKA0oVIEoSbU0X3aPdGpaFcK5CtfQ+WPX4f/4Q9gfuy9pGvjjb+b+27LuWzJOXznqrv41k8P8h+vfjSWa3PZKVMdAVKWjL4nS0hISEhISEhISEhIuD+SCIQTEhISEhISEhLu0wgBjdUG0Y3J7XDESe4TwUTaIrdOMcIgBk3G9xMOr1eYWaz6LMSIYaSgtQx0LVB4WlNwO5db5HFPwbruKZQvPmusc4ZScsrWAv997QEeff7WoZNqgxyPhlEPFYsT46/jezRXRAiO3+XvBJPJZiPRyCMuhXI5fqfHPIHMO/5xYDrRdY7r6XRiESPmxVeahYrfMr4a9wpcMxLpnPyjH3L3JZeOdWzmUY8a82z3T050rdiZH01kcl8k7Zg88oxNQLyOJeeaCCkwiNwtzabL1JjnESqkXPM7GnopoFSqN9r/xmR9V5PVeqq7TmgaEse18ULFbGrt66B82molYUjRJd7uSnz6ZH74n9/pyeuejvMI8s5a+lnHaIgaBpVAZ1sk17E89c6XPhP/ymvbRI56bYl03dt/NgOSQFDxQ87bErmfNzWT3U6YzeO11m2/N9MRjf5DAQKlI6Gc3xBZirb/m9QC1eOu2I4QIImEg62/m+Ohnr01odIs1XxKXkDONnFNA1PK1lihWWekGK5saAr/4tzxojwLzpnNc9OxImdtyqH16H2nKQVnbMpi0LtU9ShMOBZHivW+2y0jEkrlnOj6l6o+FS9kJm0zX14T1y01lsyOXILNlui44JpoeoXBTfavVtlVSMcKdQKlSVkGZ2/O0a4NbJajISOh9brIF5gvd153qR6QtqJnLWWZIwmEI7GSYCZjsVDySNkGoaKvC68pBWZbnSn/4cvh+1d27nToIDzyQZSB8O3/gPHYxrLfzSpRq47U/tlCMGWYZH7nN7nlXz7REkCXg4DDq2vXfqQY3ceMbbBaGy/IB8C1JEJEDqRNarUa/2d5gfdObR4rLf8L3+T0tE2pHnBotRa7jyHE0NGWEIKJjEXZ67wPmWf9Js5vPae/4HYsep/RIFRIGYnj/CASihlStPVtHepB/FC1XB8hcgSWYs29U2k6gmO6sS3ZUe79sAYosARRHgsZm1zaInz961j9w1dhGoJC2u57XD9xHUAt6N/nlOphoz0RrWes6AWtNrL7eit+5HbedLtsMqqgMI7ywy4eKA5usbBA+RlPJvP5r41/EhGNWYr1+HbEjRFc9k1KRMJB2xCx7qzdvOIVV/OBDzyKYn2e+RlAQ2iCEYLQMLGsSSmXV77qWgBSVtTOC0GnqLPtVBqov+8fCT7wvr7n9Q8e5K5ffzq7P/Jh8o95zFr+GS6WHxelNUGoqdSDWLf3+ZJHqDSF9JprbXuVFRLoqkLbGm7Fsk8E0bC8H16uYhmSlBW5LVfqIfmUhWUOb7EHdflCCDKWyalTae780OfY/eKnj/7G2ec57b7CLQU3KkulWYr5XiMOX60JrVMNt/u1i4mCiLw2oXWxFmCbgpxrUaz5FKsh3pideGf97yy0bRMuVkNALIVAIHoc3FO2ydYCLFf82DHZlrxDyjFoH2mOWmczjoHfWGWi0pa2EGsCa93WpttG1Gc0gy2U1vihJgz7391m4L/S9BWsV31NxfepBSGFlMW2QqpnfKgbz49Go1T0rqGUxrUF1xxYgWe9CHfnKdh/9Vrs4UOhWAwg51pc/uYnc/auqeg9i+b9iQTliWNwQkJCQkJCQkJCQsL9mUQgnJCQkJCQkJCQcL9BiMaSfvzixMInZBnyoedcY0MmKoUgZUmkEBgyErTUPIVliIGT+h0890Xw8Y8M3a2Z10+9+SN4ZY8zt+RGWurcMtY/+7Il5xAajDeDIwShqRtLA699XPPVL+COj0bme5Ejafk734L/+ihy0ybU77+GzIgOmktln4n0+sXua15KG4chRWsScRS8HbtxDuwd7yQiEivYJmQ2jycEAlh+3/vY8cY3jH1cQifGRqy1/QvCsQ3KzScgpq6WqiGH71gC4BEnFTClGLaKc1/e9+27O/6ezTlc+cM7Oz7bsTlLseJRq4fs2pLjrgMrhG3OoBNZh0devJP9pUgo2c2vX7qDg8URhEcjsiPvsDW7JtJarIw/U59hfAcwIwzJp5yRj+kWa+4qHJ+rtdaam+aKrb/ny16HIHU9TKYstuVSw3ckajcXKz4VP2S5IWIzpcAyIle8plgtZUlOmkgPFQqv1H3SlknQR9wVKrhga56aP1qD7TQER/VAdwhOx+VwKV6E2cQPNbNZm6Mljw411YAK5YeRo3AQhkjBQKFt2QuZr9bZlHI6BCyGhLmyx+FijfO35GOPNaXANgTlbdvg0KGB19GN8dmvsDnrMpWxuX2uFDmW1vyWQHg6ZTPZCGDbu1TBMiRGayUOjRdoan6IF2q8MMA2bAppqxUwNpW2WKr4PU1aezBR+fEPh8XFgfmsvfZV8NwXkXnt66Py+s2nj3WdAM6+e4BIkKMF3LNUjd2vPMABuh9SQqhVa/GAbRMuUsBllz6Um32PFaUoSDlUvK615nOVEi/Ku+yeyqC1Jjdf4tZjkUvp7Mufi7t3ra2+CcCyOPlHP+w79jANiSlFj9i+HihcU44+Ru9L5zUFoeLAUhXXlExkbEo1n6qnCJVmJmeTddunDTQVL+ToaqdIPWw4dnuhRsBQIfPIRqIxxd98B2ovHSkE0hBM54a3/XJAszNhW5iTggPL1c4xqIiuqR7AZNpqZcsLNK4lOt7L2n/3lUb5ITNpi/mKjyGidmYUolVcImfmQGnKpRLU4p+BWPaNOS5unhfBr5wyw08OLPUEYeyaTHHu1kiwX/NC5kpD+rbG+3lTHBm1/2Jg/XjZy76La0n+7cP/H4tHbkE0AnvsiU287Pe+07Fv1ddDnwnve1cOFAev5VWz98Uv4cyf/wyzUOi+jA159677IfOleof4NI6lStQwTWRs/EBRqQcorRFopDAQQo+10o3WUTtqGRLdEHO2H+6HGj8MO8aGZS9gNu/iDHF+HfadiBACxzA45exTCE85DXHX7SPl+dwR668Qgowb9Xl512TvQtczEtOGGBIcU6KBtGMwW4iCFf1AsVTxEAi8rmABL1AcXKrQJ4Zm3aRt2VPG/UrUtU22WAaHlmsdz9BM1iLldE7vxrVH/TANEfu9jNJ0BII08ULNwaUqMzmHjGM2hMFR8EOq5mMYgpqvqPshSoNAU/WbbYDElBD6quc9X2nNsXKNhUb9r/ohu6fSWMZa+QgheoXrBmwppDnbD7npaInaZY9gKQ+bF0d/h2hmxQsVtiH5i9+6hLRjNj6PAv7iBPsJCQkJCQkJCQkJCQn3RxKBcEJCQkJCQkJCwv2SOLHwRNqkWAtPqANsqRYyuV6l1wBGzfFGXFk+ZZJPmdESmaU6FU81lroc/VyZ176e8lU/gjtvHZrXhee8hIc++HTmKj43jeEyuB42ZW0mXRs57iSe1siwV9gQzduJWKen+wqZRz8WHv1YLOPey+dGOmodD0f+9ZPsfvJl4/kgf+KLlGsBdnb4kqf9KF19NdkHPWjdx/+yMpu1OWtzhp15l4K78U7s90W6fcOOd27ZtQ3+4PkPZt/eBb7wvUh8tntLnvNPn6WQMTm66vHYX7H46Gd/gkDw2Aft4mA55NbFwaLKjSSZQN84xtHRSyHYWUhx6/zaMurtS243nSyrvuK2+TKnzWSQfVx8tdbsXarimIKTJjKxQRuOKUYSB7cLgzeCZgBRh5DyyBFmTt0FRNerYhRUWdvAC9ecgtup+qolknEMjSUF/oCxylzJo+aHTKcdMlbkEn7HQplyQ0E0X/aYTPU6mUZloDE+/WXCh1001nW7ExNoHS3dfvqmLPNlD8eULUf8UGl0GD1/0b0ePBDyg5DVNkfTxYqPY0oylozEniISRvlhJEgr/9HLh4qDW3z8I1R/75VMTeQp3zGaKKxJ+/hiueq1nJ77UayHTKUtFivDRcJCwJ0L5ZZb8lmbsy2B1uGDBwB46twhrti8HQf6PhsAP67XeGtxmUcslLEMybZCitM25TjyL//CxPvf1XE9LXyfuy+5FDk9xdk//WlP2lIIsq7BckxQRX3d1tNrdF9NuR6gdaP+L3f2EYtlD6V127LxgrRjxDqL1wNNut2NcwCjimQHXcN6WxIvUP2D24Qga1mcuSl+bJK2JBVfsTUbBWw4phi5TZttHCMEUdvSeL66UUpjNC6wGaAoAR7/8JHO0075N55B5lOf7/jMMkTjfU8jZdRmNJ2fTUM0ggoEl+yc5PBqjesOLAPgmpLthRRSSKQBekjbAvSIWOuBJmVFAaqDgi9rvuI5z/vM0PRTliQc8j5Z/tu/GppOC6U4+ta3sv1v/7anjo1T3/qJM4+t1kd+/12p+lim5NhqnWoQcNdipbVtz3QaxxhvOk/ptffbPkbDHYQKDi/X2DWdxpCi7+6WIdlScDiy0t/RXwhByjTh01+k/LIXwLXXDDz3ufv39d02KNtSSk7elG6IeaO2TMc0Nbax1k5VPUXaMjEMiSElm/OpliC7GRglRBRIYRkSKeIdmttXv9Fty1Xoxt9lPyBtGj39ScVTLFe8RrDuCIM9Idg26bJ/oUKowDYF8yUfKSUZp7dOxNXF7isw+zi1BwMiOZSO6nPODTtyfawt0FCKyHG84q2dsR4o4mqKaURBQO2rNgSh4thKnc15F8scHlB2ynSWUMGtcyVWXv12Nv/Za4ce005gO3zu+iM8bFeB5bqPIQXnbMlhyjXL4AGm9gkJCQkJCQkJCQkJCfcbEoFwQkJCQkJCQkLC/Z6mWHhLwWE2r6kFimI1pFQPNkyQ0iRQmtWKRy5lDXUXG4f1THiPt7/Gb0wOrlQDil0CGdeSsUtmisZ/7VfanJBNffJzVP/x7fCRD8XmTQP73v7PcO6FAGxKWzzlzGmu2rfK/AhCjnGwDMFs1iFvR/elUBRUM3ospdpksVcU4IfgmoJeT73hCCJnniidteMj92bu06LjYZzInI+btj81jbW4MNrOUpLZs4flasBExl73M3zPbz2HU2+JxPG6SwVhyTXBnSYSsW1kW3Ei0XrND6zbxTvdZ2lp3fZLtyBEd+wheNJpM+RjJrGH5SlqcobXDK11x/3ouIJB90BHbYVuuER1mAc202s7fhz3tiahaWME47nJfuOCJwFw6Q//m+f/+BOtfuLGR/46C7/1+7zyeQ/m0IFFvvLDu/lfjzyFo6t1tk6kuGhHjpnfuIjLb53n9uWNcwa+txlbUG3b4/WlG9yQnYh2UY7ZdphSsrPgsn9lsCA81Jrb5kuYUrA565CzrY5z1cJoGW0vhJIXtFxqmwgiMdsgHFNgCNGxbPU4CHqXtPdDzYRrk16YR/6vp6DDsLVvMzdBJsvhz16B0RDANZlKWUy6Nj85vDLwvPVQjyQ4LdZD/LDKbNZl73Knc+GhYo1NWaev+7LrupSlHNlONf3jn2IaEISROEci2ZyJnA9rQaen6qgLMEijV/iVc0xmUhZ3LlXww0isqIC6CuH7V46WcAP16IdQvfqG9TWYDfYu18jYg4N5IndXxXTaohYo/FCRsgzinkghaImDAQ4Xa2yfSOFaJrYdCbo94BHHDvLuiRke5Lg9bZCnNR8ur/Kv5cgtvOyF/PzQClvzLvOf/jST73/X0LZLLSxy0/kXcPbPf9azzeqjQtIabENgSIEXqp6gvvXgWgamDGKFi6GChZKPKQVpx6QpEk7ZxkgrgeTdeDG+ZYwurO3meNtYQX+x4yAsQ/QEHXjBcAfbbrSmcf+Gu8DaRrSfAvDW0Y/feStpW1L3FbYZCYCns52u56HSaHQkgmtDCMG2QopDK1VqgeKs2RyT6ah/VVpTD4YLhMMYdWaz3sS5ZENUw5rN4rD7VPUVKUtGFtYxGEvzqH39xaZxLH/q02z/278deO71CtQtI/6a42gKMCEmqHbMk3fvPmpzrIF6EJKye/v+tX0EKdvk5E0maE2oNKFWzBf9WKfozAf+HYDyH768sz8xDE760Q/JjrgCTjMfcTXINg1m8zZHV73YOtjdLq9UfQppi0NLNVxLUm8ExbRTftrj4dDBRgICXvMGMs99QWv7STOpvu95qzWPaw+uYBsC1zSi7ysybmv/uNV8BtaxxgazrR0t1XwMIbBMGbs6S3t/1Py9/U1pJmsxX/LbPonGGsMo1gJSdnx/ZRkSL1ADg5dtU1D2Am48Vu7Z1nQfnyvW2TrhDn+PFoLTNmfJ2AbXy0cQEpkIDBsONXN28799iTwGP9q3wnTG4q7FKs+7eBsXbisgiALG78cL3yQkJCQkJCQkJCQkJLRIBMIJCQkJCQkJCQkPKIQQpCyDlGWwGZt6oCjWAoq1MHapxPWwUPbJuNbIIoz7AlrDgaX+gqGqr3qux2xMYreZ4aC05ua2JdTN5/0uP3zEc3liuk7hr/4E5uZgzx78d76PQ6u956t4IedtyWBJgSJypaqHiqqvWa763LFQoRb0X7S0uUQ6REtVTqYscraJKWWHuOk3f/XDvOu6F41SNAAIDS/7vf/BtaIlWOuBxpTRBNcwIYQgmjTqnv+yTIHXSEeKaLLLtaIJs7gJvIT1cejjX2HHMx6LUYsmGAeVbOaaG4Hofsyt1ticd8c+nwaU53HHKSe3PgstmwP/+VXIZjl7U65jIvPkTemxz/GLolwPmGs4QD3ltE1w2lqQwHFovNaNZQgqnuI79ywyV/JZHOIkebw0lwI/ERz4r6+y+1mPG0n02izq826/mif97Os928+/8oucf+UXKaZyfOYdn+YFz7wITwv2zGaZStlMpi22TmdYqR7Z6MsYCWMDBPGhbWOMK4r65v9gGJFr3C8i/uJEtOrdRTmKOClnW2Rtv9VX9qMpwDiwUsMQdfZMp5FCorRm/8qa4PXupQrnb8l3CBKdhgtkHI4p0HrNLde1RnMabqcZYBPX/wb//B7kv76vtV/7MRowyyV2PukyDr/v3wlPPr21fb7ijSS4liJy092ctThW6t8e5B2DWqDYu1xlImWyUg067s3RYo3ptBN7bPkFzx5JHNwMWqjUfDJmfFrd3DJfHLqPKYh1qc3YBoY0OHUyw96VSkvkpa/60Ujn7qAh3sY0Ieg91zAEUf1PW0YrH82hkxAC2QxeE5F/Yz2IxrG2baA0FOsBbsZA67V7XvU787FcDVr99R//8Wt5wxte19r2yuV5AH7NTXO2ZeNpzTerVa4PO9ulZnsXKM3RV7+mlfdhqKUlyseOkdm8uePzfqJyiJ7X42rcujLmWAY7plIcXKr2FXEdXfXYMSmxzEio3W/8apuS2UKq9XfdD3sEwpbRu1pJHDm3V9rV7fzb1wl4AHKdY29TRm1Ru2tw0x20Ob4fhdm8Q8o2WK54sc9fBxvQoYSNvrDqK/BhIq1bgYvQvJf9T3TxzsnGcxjto7TmyEptpPfpQQLDQGkcU/aISJuxYN2BIf3ChTSQsWVs+a+uo83SnodSCik33ip0c8FlsVSnWBt3iZtO+lW1esMdu2d7zAGjrjhT83sFwn2PEgLDEBhItk0aeIHiyEot9nnP/OM/c8qmNHrMSj6qODvtWORdRcXrfca6j1+pBtgN8Xap3nlvypedD37XGEBrePtbKL/9LfDs55J5/ZtaKauGI3fdDxEiCkgo16M8eKHGCwNcU2LnBaGO3IwB6r5qOdkPo+YrlO4M0Kp4iopXQwrYOZ2OHed0t5vt5FI2advk0HKVQEX1wxu1n4nZzZRR/1xXINC4MeNFUwpm8y5Kw0LFo+yFHcEW8xWPHbmo7696YSNIZRhRDVEKDnz6iqHvXM2sHzn5bJYMl/2LVXYWHO5YiMa/Z8xkWvslX9skJCQkJCQkJCQkJDxQSATCCQkJCQkJCQkJD2gcU+JkbWay0bK2pVpIqR5SrofH5UR1f5snGEWv1RSwChpiQKFjV6jeknM4UlxzNjpzOoU1PY390U8SKIVSmtuPrHa4HrVP6qVtI1IJEDmvAVgSNmUsNmUKuKYk4xgdTqOGkOycTJFxTFaqPkdWa1hC9nWU2bHnEma+qpmfHeHitWbbYYnlpqn5KnL5aUxmDVpiM21LNJGYww81lgQtREvc0fqponoItCbIRpsGvG+yXvesE8mBz3+L7H98iKl//+eebQLgUY8l8/fvQYpoQlajmVsqcuyhD1rX+ZrSgWZZGL7H7mc9DiUlXH3DOq/ivsmI5r0nhFBpLEPyhFNn+J99SydcIHxCyWYJcnnM4upIE9YBsK2yCH321UCuWuSFr3gSH33v15mvBKQsAykD5op1/umKOzf8EkZlIwyzD3w8ElSPQyabJQhHd1AdhXYX22HBIifiMVE6cuQ7tFqjGoRszblMuNZAkZ0Qgh2FFLfOlUbOU6g1t85HQRY5x8A2JH64NgC4bb7EadNZpBCsej63zFU4d7bQ0c+7pmgsZd7rtGnEBNEMwrUlVa/3Iss/+gE0xMFxtIsGt/7eC9j76SsgmwVg/3KNvNv/a9DZrMNsNhLhNgMiSnXVcpzNWAZCQMkLmcnYzJfXhKLLDZFRJFgzGoLVAUKwG6/vv639ehrO5v6jL2sFuAxj90Sa2+Z7Hfk602VtrNeGFyhSaYkQkj1GhpIfcvdiBf8Nr6F3jYXREO94N/qPfne8Y4Tg7M351t9Nt+Rxxx9NkbEUgoofcPdipWef6w+tcOmuKV712td0CISbfKlW4Uu13uMAJqamOX0myz3LZa7/z89hj5E3gLsf8lDOvauzrU7bBksnKFAljuY4dhCHlmrsmkkjhGCl4pOyJZ6vWs90xjaYSHdefanmYxmRi3hT+GXK4UF3QMuttl+uut0wGbBvO90rPoyKFNHqH915rwc69vN+pJ1I+DyZia5vaZBIeAM6lHZR26C2r//xXSJtIXDM/sEh7ecdJprudmRuYlsSdGd/GycmbuWJ6BlvP58hgdpgF/1+CKUiG+O29Me5FZV6gB9GzqlStK8golt9g690a3Bd8sKOssjYJoYQ+EpxrFxvvSc3sQ2JazXTFKBhseZR8oJGQO9aWnnHYsK14918bdly2PdDHds/W1KOdf1r+0ZOvrum05TrAcdWO4MqprNWT5ob/W45nbMJVkICrzPVqq9IW7K1soEhov67m/LFZw0/ySc/TvXwAebf/68oranEjFm6Q55dU+KF0btNPVC4lmSp7JF2DPIpu3FMPOWaz7Fi/8C57ZOpVsBKXPkOSltKwUTaZrXmNwS+AqUjMTJCEIbxwdvtnwkRCX/9ULfGhprou49U25jOlIJtk6lWsMlDT54B4Op9ixxtfL+0WgtQOY2BYK5YJ+eHmIYkDBVeqMjYJtnU2qikWA/w/JC3fe12CmmLnbM5vv22z/CiP/lfrboVVwYHznswV77yr7FKHmduSnP7fAXXlLzssh0tcfz9yRAgISEhISEhISEhISFhGIlAOCEhISEhISEh4ZcGy5BMZiSTGQulNeV62BIMj7rsZ5O5Yo2ZnHu/cYIdNvkPa5M4g5BCMOnaLFS8lvvQprzNjw8VKVd9vvrTQyPl589+7cy+y/LWAsVU2iZtdspRoglGD0OCLYdLbF/3yhv5u/efw+J044Nu1VpjQnbTUc1rX319yy1nVIe2potPE1+BITRpK5r8a5/w7TexfX/kviYOblJ63m9Tet5vN/4oRf+2bGFTxmYm7bREHLVAUf7jV8B3v72u83Q/8e1/S6WoXHI2metuXlfaCZ20P18P3l4gVJqfHymdsPP19y7fGA5+6nK2P+txmKVSj0i4/cw1w8QNg4GBKM1tBvDcP302hz/1dUCglCa9DiHQRrIhvWI2S3jWeZg3jyak5MqrW78qzdhLv/dDE3UVo6R1IkYDWsMtc2t1ft9ylX1UuWBLYeC4xRCSnRMp9i1X++7TpFuYU6yHzGSsDmFSLVDsXal0OIIeKlbYnEnhmpHrcC2Iz4/Skatw2Gd7N7Yh+pflK146UhrNa9rxvKdy4AvfhcbfVT/sECtnbYNTpzOgIwfBbuH1aTMZDq7WKNYDyg2hcM4xOsTBTZpjiKbYyDVlywG4nfKnPzHSNbRjhSF/8sqX8rZ3f3DovrY02JZ3Y1dxaOIrmMlYzJc7haiHi3VyjoUpYL7qMVeKrlPU62PnuUn6EY9isFy5F/EPvSLwcYSYTZSOljG//vAK/aqf2RjHX71viQsvuZSfXnvNyOl/4wc/QzYE+bU3vmYkh/gOut0pWXMrHPRaYhuCTXkHL1At1/9R0EoTNCp5M/lyLaBhZBm7UkAzPytVn4xj4iuNF3YKYy1TdNTzqhew2nBKNa21z8MR3rUmMxZGQ2zfLuxqPzLu91EEhuvRBxsSyjHCvyZ+OLpLerkWkHFNQDCRsanUQ+pD3jfKD7943CxHSKPjecm5JqZx/M64uZRFech7c2sFmgH4Ya+42mjcRKU1hlxzmxaif1oaolVpNB15knvOGOl6OhACYfY65o4jXi3Xgx4n2n4cKVVZaAsG2D2RwhQKIQShUhxejWt32+taU45Lq61uZ6Hsc+Ymo0fo7YdR+Tb7bFMSe4FlL+wQYQ6jNwlB2jaZTKsOMXzGNuluKfuVcxCqVr1tbguVbrXbffOi+wv4K75q1S/L7H12yw+9aGDa7ajvXcnyahHLSY/URy3XAmpBmVOnosCl5v5eqMinLNrLpVkeWmtWqz6L5f6BI7N5B9OQfetpP0G21pqaF3JktY4ho4UNvMbeoVbcMleKnIkLKTK2iQA8pUhbBkHY6WSsdf8gjKqnojERUX8S9/1Z0DUAC5TCMCKH8JUuEXfF8yjVfZTWfPW2BW46VmZnweHZl+zgX//nbrRpQDbLzV/6IeccuR31she2gns1sHfPBVz7J/8PDWQNwUTa4s6FKk84fZrHnbap9cwYovF8JCQkJCQkJCQkJCQkPEBIBMIJCQkJCQkJCQm/lEghyLkmOdeMJkeCNXfhUZZOrXiKYtVnIjOuX9i9z0rFY3nApNK4dLvqCg37lmu4puRJ52/hihuOji247qX/8YOcEy1JNJnUEDD86e/eyAff+VD2zxSppjrTTJfhlOUZfvs138WQAkdETofHk/NQRxOPpgGmGGOJzvsJ90X34Fiy2ZZr5FzZI1CaLVkXKQTlv3gDfPfb4wt5RqCZXvnpTyTzhW9scOonnvtSuEO346hlSLblnRMqED4hdD0wBz99Bey/k52/8zxk10R6mM5w4LPfYveTLxsrebu4QvvdqweKC3bm+dn+1ePI+PrZCAdhAPGhj8Ef/Q78+KrBO155NZnG8w5RmYQ6WtY4aHMy62bUtmyYOHjNlewEtI59yvJoqcZszh0Y/JO1TPKu2SHq7ea8LXkEsFj1ObCyJibuFgACPenMlX1mMg4Dkm8xjtOmFJHQRALte5dL4z/7Rr1TJOuFukMYO5OxiYx+48sxCKHgmB2C4OKI4q9aoNi/WmVbzsVsX7L+nX871jU0XYT/+7Of4OIHPYTfetHLBu6vicTJw/D6LEl/+3wJKQW2IUjbBmUvROXz6IX5dfcR4k/+DP22vx5tZ9Mk/YhH9XwcKEXKkoQ6WkJ81HGmF2jOmS1QCwLuWCj3xH/Nlz0qXsDRYp3/88Ev8sKHn061PLyuveQVryZfmGg4LUqE3phAsHI9GOq+Gt0f2SHOGgWlYf/i8KCBuOOWyj5Lbe8SVT9ySYVOp9nVqs9CjFixGTw3iLQlmUivieTGEWe2C4X7bVsPtiGpDlhNJGisdDDKWY4VPZxqQNaRaAT1RjtbD1TsPffuugOq498vAP77m51phQrb2pj1S4Y9e1KOZhnvdfWtsk2o3ixyxxR4Q8TXTdFh+wfGueeBm4La6OWXuuCCvumP41Q9ClorltpWxRACMpbZd2Wc1n4xby/9gpUNGR9s06xza3np3ceUgpmcM7aDMHQ+t0II6oFurcyzteBg9BGqa8DzQw4u16K0GolIQatcmm7Rhoi2R+2vRnQJa5WOAn6qjX6j6itm8w6OJTtP2HZ9zTHcrfXaWO+I9V+5jPR1N1D1Vc84J25cGCjdEzwUqqjtbLoIr+VLs1CsDxx37JxKjSX+V1pzdKXW+q4EoudMa+hYX0s394e9McFmOwspCq6FKUXrOi1D9l19qTmWFgKuP7TMrsk0eddCCEHFC1jscs4veyFOqnfqurmyhx9qinWfucb4bP9KnbsP72e1FqCDgC0pm3vmKxxwd3L4vV9vCZPv3L/EcjXAu/FoR7pnbcny+NPOaN0X2+hqVxISEhISEhISEhISEh4AJALhhISEhISEhISEX3qEEKQsg5RlsCkHfhiJhYv1kEo97Dsxtlr1yR6HI1P7RNqJEl0qpVip+hyvbEFr3ZoskyJy75lMWezIu9xwtESoNGUvpAw84cJtfP/moxRjluwEeNipUxvi7EgjL5YhGstlC6q+wu+amHrpq38IwA3f/iA///l/YkiLCy56EWf+ym+RsgRVX7fckA0ZiQEiJ8Ehd2XA5kGCo4TBSAT9n7r1sVT18ZViU9pBf+nzwAkWw+7ffyJT/6VAymhJ23ZOnUzz7PNMvnTLHJdsz/ODvctDhVQbTbQ8cLyYZ2R2nsr+r/4IaEx0mxLDEFhSMvP2v259PgpNEcbkn7+Gpb98R+vzh+2Z/sUJhDcwocz7PwxA+UW/Bdf/rHP7O99D5tGPjT3UD3XLofD4A1Zis4bbWKLba7jwSQRnzmQpBwHHSt5IzvFpSxLq/i7z/crySKmOZUjyjtWzb/NqTUOwq5Dipnoxtr4aAipeQNkLmS93OhWu1gImU9ZQQe8tx0qcv7Uw0ioFNV9hyci9FqJxhUJHYmABUkhsQzRcDSOHQ1NEauFAAS9/8ViinZawqVRqBYw089HaZwQ1e8oyyTsmq/URlNBdFOsBt9ZLzGYdNmccHFNSjnGNHZV3/d1fDhUIQzSOGcRM2mJbPtVYClxR9AJCrfECRc1X1EPF5oJL1rIItaL22S/Do0YPXOgm/VvPwz9yEO+j/zZ4R9Mkd/X1CHr1hX4Yjc8hErhJNFpEbtnNXaWIxFd+18GB0ljS4JzZPHculFtu0BAJJ6+8c67190f/5zZe/RuPZf/tt/TN5u+86f/xqt/7XVTD7VQKwXpNBrsFeOURBOg1X7FY9ghCNbJ7LWxc8EaTZhvrmJKqF1CqxbunpixBJaYtcRpC9om0Sag0uT4OmuPQb//1XLprSQopC4XHYsVHoFmtB0ynbay2lUwiYaAgCHUkjiUS9TeFm5o2AaOAxUrQEmU2RYVbJlxCpTm6WqfeKCv/Jc9bR64jMlu2dPxdqgVk3dHdYPuiI5Fd3DuSYwqkECPXs1BH73Brz6to9TkpOxLA14c4z1tGJGz0251MGz/NZz+H4KMfGi0zwJY3/0XfbSOLZIdcu20IpBQUa2FHv6w1Pf1b2jIIlabeaPd2FlyEiGlp+mRuZyHV08elbUmlyxHbMiRGl0o455pjr5Kk+/y+OedQDxRSgG0Nbil1+8/GH2FkdduxX7OVsaRujCn636HmM2abAkMOPv8dv/FsYMz2IlwbG3SLhOPE16rtO5V2HDNewN/vOxPHlGydcEcax0RoSrWgx3W+b/DWkGT3r1TZ3xZYlndNduZTAw80DcGdCyVKXsjepejYTRmbvBsFtK20RZwtVDxmMg6OEeVPiuiaa75q5fdIyWPnhMtc2ceQgtvnK6xWA247XOS0LTkCDXcdLXHOzgKrIYSh5txdk3yrSxx88a4Cb/3/zmuVpSUTcXBCQkJCQkJCQkJCwgOTRCCckJCQkJCQkJCQ0IVlSCYzksmMhWoIX4u1kFIt6BAsjGoO22VqFPv7iXJmlVLgmL2TgeOi0Nw+X4rKJmWRtgzQGiFgrtI50XSs7HP29gJX3bHQk862gstjzt48knBqFBxLUm1d2+ASPPcxL+X8x760Y0K2WzjWdBu6PxI2hBpjMYba6n7jHtyHUj3E+JvXM8G945Rb/s63IvHiibAqPkHcl+5v5EjYmSMhBBOuxXPP34pjSg4X69y5sE53vXWwZzrNtpzNfMXnpmPlDUlTAynbaDhnhez878+vK53s1f/DUtvf01lnA3K3TjZIhdbuCJf5yH+NfbxjipEca/uff82tDiKxWNOZzg91W98TIaXA0IK8bZObtKiFIUtVv8MlsIkpBdvzLmnL5HCpOkAg3L8sa37AVMpu9WOmEYkobSNyc4s0kIJdE2nuWar0HB9quHOx9/PJlEXJC2Lz3Y0G9i2X2ZZNDb3vTTdBpRXz1TpLFb+V91OnMmRtevrnm45FIvesbVDYv3d9X2Jefy08dM2R1jWjJatNGd3LYWgNJ0+l+dnh9Qnuc47B5qyDUo3lxHM5WF5eV1ory0tc/5NrOe+iS2K3W606ILlgS77R/TTa0pYlIwShxpSSUClsw2A61SlMal8m3BCSTC7P2C3e9HTrV9cS8Ko/wf+dV6Kf+jhYWe7ZXbz5LaR//f9D6QGCJXq3xYXApazoHjevww8jQVao4JTpDNcfWbuXkci38/h3fupbAHzgb97Ad770KVQY4KTT/MU/f4qTzzynkWE6u6h0Birr7xf8QDXam9F64uaS67Y5WnvbFE9vNFVfUV2pD9weCYF7z71twu2ol01En9/7McpVjbKPZYiGKFJT9zUCSDkme5crHW3oQsVnOm2RsU28UJF3TGRgRPVItYV9drwoDhYwzq/Wmc455B2TIgFKKSiur83JXHdzz2fmBqndTCMSBxsCTEM2VnuIhLz1RnCH2/YuUkiZaN3rQN8kcvUESzaDQxpohoqDAQwRBRVaErZPpVksea1zZV/9OpYv/xocPjQ0nfyv/zqZS+Lb1fHoX86GiITMOtQ4ptHRhEjRdJuNjs+5Jo+d3QzA3QslbjpSJGvHC7yrQXxQgdMIFDGkIJ8yybomhhCsVHyW2txauwWoliFaYvLuV5hBAvyojdV4QRiJjqVAiEgQ7drGSO+RWms256NgmlBFIvvFkkfZ6xM4MWK1rvqKg0s1HFMymbFx+rhp137849ES7KLdHb3prm7KKAh5svEMFOvR90h5x+xwXYdoPOLEvsMLtk+muGe+c6xWSJlMZewRx9saP1QcXKz19BeWIVoBCcOQohEoLgW2lB2BNhA948eMOltzbt/VnubLdUpd93Ku7LFa93FMA1NCvlH3VmoB86Ua2/IutiEIlG71/QIItKLihxScqNy2ZCx+3OgXjxY9jhbXvoeq373Ew8/azNGyz0qgecw5s1SqPtfes8TD90zzF792duueGI02KSEhISEhISEhISEh4YFIIhBOSEhISEhISEhIGICUgpxrknNNtLapeopiPaBYC3scyuIYd2ncjUcwlbGpeLXhuw5AEs1zh4HiWKmOaxks1QIyVZ/TptNkbYPrj5Rbkz6bCqnYdH7zwTtGFAcPnvByTIlAr2t55Xb6zKneL1EwvhhuTL3AvSESjluOdaMofPPLJyztbsRH/gX38Y+/1873QKOflsU2JDTm9c+YyWyoQHiQGBMiJ+pAKfYtj9GejvCMaa3JOwa2KWGdy9SLLlFZLVDsnkqxdx3LyR8v9xU9fD+BQhPTEBhCoDQdboiGFMiGUK8pUBJ0Os/G0a5pF0KQMk3crMHWrEvRi5ZB9kNNqDWnTmUwG05227IuWtc6nNO25BxyjoklRGv55G7mKj5S1pjNONgNVzXoFKoApE2DCddkuY9AqxspGGl80yRQmgPFKltzLhIx0M3OawSyzM11XtP+lQqnTmew29z92gVtJS8kl52I3IDHRJx3SatXyVoSrTUVP8Q2BDnbjHX46yYI4YyZLLfOj37+vGOyezKNUtARd/TFy+GRDxo5Hd2Vwa9+42t9BcKmlPih6qr78SJFgcY2RE99gT7Oym99J7zh1cPz2/i58plvsFysNM7V/F+Q+dp32ZTpE8DQUKMprVti53Ycs1c4nHMNirXOHdv3kaIpmm86ucIFW/LRA9vIrCEj0fTadUcb3v1P74F/ek9XJhsOgwZU2517v/5deMSl8dfVB3P3rrXyqno91zESIz6qliGoB5qULRviSxW5d8vhbeXx0s+0c7Xmk0/ZwNr4svvnOAwSMmqtqXpBh8C86TCvlG6JG9vbvkAp7lkosVjpbYMXKj4LDZHlQsVj10QKWxo9wr9RKdZDKn4F3RCs28Y6e9I+5y/VQ6a17ts+N1eK0Uq3nLGjf6Aaq6p4QdhYsWXtnTA+sejH9kkX2zQATSFtcnAxGju5tsQLFIGKRMCm7BUDj/p6Z5mCCceERt8znbVxLEnaNqj5IfqLX6f43Gehbr+1bxoTv/lsdrz97cBoYthBDNJhSyla761awylTaTylyJhmJL5scwf2AkXzSdg5kabiBX3rltfnAfaUYsoxmcrajfsQBSK0i4PjUEp3VKNRv8c4tlLrEPI6psQyBLYpSdtmQ5w6uF6nbKPRSkdBTwCTGZu0E/Y430JbAEwbswWHqhdGz3OgWn2c0lHfUF+pMZm1yDlW7/PQx913XNZWsTDYlksDa3XDkHDzXKkVhCYQCKE5UKwhG/sJEY1DvVBTrPmct6XQarfyqeiejho+sVLxWSz7jTyslZdjCryg8627GWgshEZpg1On0pS9kNmcC3otyCQSCkM9CLl7qdIq47myR6kecOp0Bq078xdoxcHV+PeneqDxg4DJtNVqVzNWU2QeBZgoHZWXIeHWuVJL2D6TsXnG2ZvZO1fCNmXj2enEMgTltnHBaqDBMnnj087iMafNtOqBISKxdkJCQkJCQkJCQkJCwgOVRCCckJCQkJCQkJCQMCJCCNKOQdox2JyLlhUXoik6uO9S6ee6MyJaaxZra5OJoY4mIzdnbSp+5JDompIH7cixb6XOkaLHd244EptWxjX7LpXZzjCjKyGg5utkEuc4CUKNOaII4b5cx0dl+NT0xqEDNVJdT1g/W/qJzNbJsDreLggaOc0RHpzlaoAUsFoP2WkYEI7fZmuj1w3ttNnsL0YgvEEP2fEkM8iBtEnZC7Cl0XPf41w219v+NUUHeccmZ1uEWnPrfIl7livsmcqitCZoiHGm0pE7v2VI0qbZOO/gMx8t1bFNwSR2f2c/Idiac1mtl0YTXY1Y8Fk7ymvTaXilVuKsTdmhQvt6oNmcsTnWJnz2Qs3NxyLx7eaMTcY2KXmdz9rhv3obu1/23NEy14ZZyOGaElNKvFCx0HCY80LNsXKdmZQz0hLdWcfk3Nk8oVYEocZTinqgqPkh1SBsCdwKrsnuiTRhtzC4QSabpcx45vI3tgV5za/2ipRdMxqLeoEiY0fuuV6gBq50UQt0rAjRNWXHM1wPFNUgwH7CE/Gu/U30pz8BMXlvP9XeD38B+gjSldYUHJtQ6cjBuM+y6lHedMff3QFmOddgOuuQtkNCpZgvddaZlC2p+4p6V0Gk7LXVJ2xD4Ac68iEeyb032scyOl1xM5nM2C7LZ37/+63fT6RINxr7CFKW6HE+jxPYbTRxz8F01ooCfhrotp/rzVH7Md1pKA2rDQF2c1t7HxF3Tj+EY+V6w+G/P34YrTbjuPF1eVQ2pA4YBpYhGm6fouNZXizVAYHSkeC3JQRWGtOQIwVwupYcfm8E7J5OIVvKcIFpGOzelF7boZmKhqWyx3K1s71oupVqIiGjH+qe/quQMpjKOnS0RmLN/TbtSNJbCvCty6nedBOH/+LNVH/yE3QYImyb3JOexLY/fxPmzEzr8O5rG7cuOgNeTOuBYmvBwZSCY0WPUyeyzJe82HKPno2mUFZyztYJ5lZr+KFCiOipDZWmHoTMlXqFsylTkrFMqr7iyEqdXdMpROPeD0PKwYE+0FkuWuso2KDrkHqgqAdAPWSx7LNtwu3r3NuZcieWKfFGjOidylikLIO0HY2hilWf+a7yURoOLVe5a2GBnZMpztlaABri2XQayuM7wUeX1d2a6o6radZfHUbbal2i+LLXex9PnUqzPedS9RV2w5V4Ih3vJN1NEIQslDwqjXauWTObIuCar3rqdqij77ea+2UsE9c0Cbr60CigAlKWyekzOXyl8ALF4dUaadvghqNFJlyT2ZyLJSSGhBtvOcCO//0sjFKxJ6+V8y9m7m3vY6HisyljIYCplI0h11YCMST4SnHD4c4x0HTawRSSnQWXvGvyzm/e0ZP+padvYq7c2Y5fuDXHY0+foVnnZEMcvFHvMAkJCQkJCQkJCQkJCfdFEoFwQkJCQkJCQkJCwjoQQuBYazMIWkfC2bilin/RlOvHJxAWQjDp2kw4Fp6KHJTny140udx1sTvzNvccXqVUjxeG/PCOeS46aWr4Obv+djqWxBTUfBW5Gh/nZLptipGWsH2gEoYqci0dA0FDQ3OCJtB2TqRGXmK7ycCstM30NVO9V+b+nv+Se+MsG8r9bVLUMgVpS7Ymv++vaKCQslis+Cy85R/Z9Ke/P3Ya+//y73s+s35Ba+TKjXrCjiOZUQ7du1zl5Mk0tiE3RJg17JyRqCdqheqB4nCpynLVb40Zdk+kepYQHyYQztgGSxWfhbLPnukMAhErcJZCsnsizd1LlZhU1pjJ2Mz3cSxukrYMXEs2RHNr4wtTCipBiGNopBAYon/925pLsVDxYgWsx8oetOXh/C15bjm2Svr0M8ZqwzWghCBjGw3xWchkyqLclufVWsBMxgbdP0XXlCitWw7NEoltgG0YZC1w82vuzYLRxhXGX72V4E1vQA9w9IQ19+CXLM23PpvZfVrrd8cUBGGn0KgWqJYgc5hQ3gs1tgmGiER/9ZjAFkEkmvdDRepP30TwopfB058Eaq0cm2cPCpMc/MTXBl57PQg5XKpz87ESS1Wfp52xCSdGJBx21WNDCrorjGnIRvCeSaW+Jv5pXne3GLZJ1VO4VnTflI7yb/QmP5C4u5a57mbKF5810vFTr3pVS0wWhJHQfFxSViSAlgzovwVYMhKChjEXGCiNa8rYgKZxy6QfUvQmkrFNjD591EaNyjuLRMf8Nvyc5RGDLMXz/j/K99zdeU7Lgit+QCabHSkNKSKRYiRUE5DPw+rqSMe20nj049pckJtidkGoNNUBOmdzxFIfaeUWTZs4uB3R+7uAXNrqEQhX/egZFY3f7YbbaRNLQsVTqKLHdNbuaUe729bU2Wdzyqc+OTzvvZcyHm3ZUFqjtcaQEq0Vh4s19q2U2TOTZdtECgEjrqqzRtS3RLlyTYEhBadOpwmU5p6lKCDMNgSnTmdbY4tQaYJQYRoSx5LkHINi13cDpoyy7qtI8N7cvx9Kayr1EI2mXA/wAh079mhnvabYABnXYlYIjq7WOzc00mwGu/iNttS1jCiIO+Z90pAwX/RQwN6lKgdWqjiG5MG7p7jnI19k97MeN3b+/IbotxsR85kGTp/Jcf2R/s+2bQjO2pQnUJpmFfFCjRdq9i1UybkGhZSFZUr8hhu8aDgPCwGer1ip+h39f/dKQ6lGH9jvroVaE+q1oKFa4zzteWw6B5tCYlqSk6cyHC5F9XC5FrBcK3HKZIryB/+Z3f/ynkaZ9JZH+ufXsfvJl7H3899lrll2QrCjkKLma6SIxgChkpy/Jc9CxePgao0J18RopKg1nL9jgvc/7yK+cdMRPvuTw0DU/tld6nXbEDzv4u2t3NjG8OD0hISEhISEhISEhISEBwKJQDghISEhISEhISFhAxACmhrW5vKw9wWxcNhwuDteZDTrREpKUqbJZMpiqeqx0OUQJ4TgzmP9nXeuuHmec7cXsIY6CK2x0MIRAAEAAElEQVTRK1xoLBUKpG1JpY8AZBTal9r8ZcQLFYXjMzzbcB60a+KEpX2NcS+spd0g86Sn3Cvn2Ujub3OjlpQ874KtfG/vMrfMje/4dV/CCxSTaZOlC6Il6kfV4Ldar0su69lWSP+CvvLZqIp0HE2zP8JzrrTmlrkSW3Mu02l7NPPQQYxw3bVAMZ22qPhhhyvl5qzd4abZxDYkM2mL+T4OlilLMt9wRfv5kVX2TKdxTTP2WlKmwVTKYrGPSmwqZQ0UB6csScoyWKz4VGLEjIHS7G0IlFxTsjXnkraiOqi0ItCaeqAIlEIKwaasw5FivSedbm6ZK+KryPG+8mvPJPOlzw59PpqXv/+fPgJtwrOmAMQyBAXXZKnic+dCmdOncz3jNdcShIqhTvDtdy1y1Wu4BjYELU3nvebtrYeK1Uc/mdqvXcvUlz7VEjC1i9naRU0PPnqg9bthmJz/6KfxsyOrnD6TRgijZxlvAdy+WOLCbfmh4yNBNA4aJCLWQMayoKFdd7Zvh2tuAKI6USqVSGUyeKHixqO9zoDdVH3FV2872vr7kzccZfeky9mbMsyk11zhlY5cGZtVTYo258OGUKlcD3BNiWsbHF31cEwQYrh7OKy1EU1RW9hwwBxl3O6Yom8FHEUknHvjm9j2ey9r/b1U9tb9vtC60n7H66bT45qYqyc/KZPNloFCc2ixtpbmBgyRmyI0U0ZlqxuC7LlijemsiyFF5FjadhkbMTLvPn695TuTsdm33N+JP/PJjzHzoX8CYqqE78MjH9TpLG0YzF75PXJbtmLISMwnhWChVKNUV60AOS/UWB/6D/xn/dpY+U297R96PvNDjdsIXOhXDGLE9yGt9VDh+LhBfqaUFFKRS2nYFoxRa3uOvUCTsiRaa3yliTZp/DBagcEyJCk7eqFZLnuUvJCJlMVExu7IlxwxEm69dVApzarnsVINKNYDEDCTtlmq+q225meHVrn5WIlHnTLdN516qOgeCU5mbQJVXyufINruGCaWXCurU6bTuKZsBC8r/BD2L9aYzlrkUzYzOQfH8llt6xtDpQl0JJw0ZPRvEHVfMV+qj/RcGTISvFf9kFwfx/hmeQ9KLu2YTGYUS21OsF7QXE1I44XghSHFWhi5pgvwlWal5uE0HJVNKVip+x2C9FBBRSluOLwC2ez4waQvfmnfTV6oW8Eo7Ugh2Jyx0SJqE6dSFtUgZP9ytFrA6TO5gYLrYi26TojGM37MA9nsL/tR9RVOV0BT+zUbQuBanc9hxpaEDTFyd7BAoBR3LZYJu57/g1+/gi19xMHtn2lg9zMexd6vXUXBNTGlxLYMBAqNpuY3+moFE67NTMYhVKpjDKQ1OKbB+dsLfPWGo1R9hR92tnuzWZv/fdlOZKOOmzIRByckJCQkJCQkJCQk/PKQCIQTEhISEhISEhISNhghIpccg2hZXc2aWPjelaJqFkrDxTej0D1v4itNLVA0zWcFYDTcok6eSTOVsci7Vm8CGq65e4mnXbi1K6fRf5qo/HKOiW0K0M1J0ni8AdsMSUtwFZW/aky1ithrSnjgc9b3vs3ND3vUiT/R9KbWryfQbHnDGbak8L1JnOtXHI5p8JiTJzl1KkXWNjCk4BM/P7IhroeDeOL/+2O23X1Tz+dKCD77pg9Q2rJzrPRKXggNbebiM57D1Of/c2QR5MJz4t2qT57JjJWHjWKjatHx1Edf0SN86KGx6XCxxuFijTM3ZzGFjMRPaj399XBJUcYyyVhmq3439+4nWrKkZDabYls+RdGLBC1KKVbqAYYQ5F2LU6ezXLVvCYA7FyqcO5uPzYUQgtmsy0o96HFnBejnI+eakowdCYMHCS/zjkmgNBU/pBYoVus+rikpegGHVmuxQqKCa7JSi19xADodcEOtWXjln2L/+Cqsowf7Ph/N0yw/4Wmw54zOjQJmMtHYpCmsDgPNcs0n70Sft4TB/mg1wO8RyUCIYu9ClVArthdSSKJn/GhjTFZwTYq//zrueuKvc+4rnocrZU+bd7NX50VLcx2fPevZz+Y5F+/ge3ctUPIC9i1XOX0623pWpICSF7A152BKyb6lEjsK6b5510TXmbIkodJ9BaTduA3hUdVXGE6aparXcq8cemzXqgUrtYCfHy5x/eES2/IOKcvgkbsnSdsGppQtIa/S9NQ/L9AcXqlHDrpEZd90AhwqXNORMKhd/22bvUKu7uuuB4p6oElZnbUvYxvkUya2ZeDfdTdzSyss/8pDodooFyHY8o63M/HM/xWJxbWm4oUDx7gbhYC+15VxDLKN8boB7N6UJgx1JP5TOratADCNxuopXck2RWl+qLCM6PlNWZELd9DWHld9zYGlKlLA7pk0uu1pPhHd93p7k0Eu7ublX2bmQ/80XtphyNGHP4yjwLn7963lL6YPsE/Zg59KrdWhgfmE8NwLKPsBE65FqDSWEfWBvgo5uuKzu5DCCzVag2x7R4LRRb2+gpQt+7pzR2mNlFQHU9koOKDuhxxqiCS3TjgYjXKpByF1X1Gs9fZUK21iz/ZeeKniU/FCqj+9luoLnxt73s1vfQubn//8ns/HuwRNEGrminWOlmocWKl1JDQXE3jjBYorbp9jz3QWK8ZtOVoBorNOmFKyKecwX6z3tIXN27ejkMLAaG23DEHKEg2X9DXX5qqvYtt725TM5JzGigetS+ghZRvsmk5zz/zgVQmafXioNH7FJ5eyeq5rHAopi5oXdlx/oBrtTltjpInKxBCCtGVw5+JaPrv7oCbFxlhk39v/md2vfflo729CkP3D1w6sL3Fp2FKwKeN2fGZakjNmTECTcSKH4KWSN3SVlOMJbmsPlE5ZsuN7lWYZO6YkCFXrvapvHyl6x0MAs3/+x83NA2nmZNub/ohDf/UuVmoBB1drbMrYTKVszK7nJAq+ElHgANGqSM2s7Z7O8r7nXsyxYo0/++JN/OjWY+zaNsGDdxZ49gVbW+2t4PicrRMSEhISEhISEhISEu5viFEn3TaCSy+9VF9zzTX32vkSEhISEhISEhIS7ks0XbOUXq/4aOwzcvfc4Im7Ubnx2OAlbmcyNrNdE13Hw7DJ53b6OefEOfbcV2hflvMXyUzWYlPOHr7jA4hrtu464efIXHdz6/eTZtL3KeHtINqFGb9ojucZObha447FCrfNVcYSX02lrQ5X13686BVPak10xy2VC7D3rIv59h+8lV85qYC1Dmuq6Tf8IdmfXDXwHACrlz6Upb/+h9g0DAHv/uadQ5dI//VLd3Cw2N85dlzO3pxmNnv87crJkynSljV8xz4IMVg4cdtCsafvKLgmtSDEDzU7CqmG0Gq0852Idj1tyR5xiNaam+Yip9ZzZnNMpS2K9YCfHlpl10SKnD24zKpBwNFinbxrkrENHCMS1gsESmuWan5jyW1B1jFZrPhDxyuWIdgzlY2Wgw9C7l6Kxh7DhJqOKQmVaok0U5aEhjtd2jaYL/ukLBm5IULL9a/wjr+icPl/9xUIH3rNnxM84akdn0+nLZaqPkpHz1S2a5n182bzGDJ+PDEIx5StlRocU6K0wgs0R8s1Fvq0JzMZqyVQ/vR7/45P/Mu7hp5nenqau/YdwrYt9s5XUBpKvk+26xlpGuULsRYo1bxmpTVel4uoFJEoLHLj1EPre9zYSgi44ejgceKWnMOka+EFmn+99uDAfc/anOGJe6awDaPlchio4XlrMuoYsnuJ9XZB+jAcU3QI+1O2QSE9vN2LhMyKfQtros+0LccQea3J1kYVdfe7LkEkzm0fo9T9kCMrkaC/36ILphTcNl8k65jMZtyO+mSbAi8mMKNf+MS2CRdnjFVFBqU1iCBU7F8cTcTeRGvNgWKV1a4gBteU7Jxw8S89b8xc9NIUCc8Xay1H0G7Kl50fuRH3yyfgb93OoX/7LACzWaflxp2yJIHWlOo+E67FZNrm0Epv8OjQgJouBrkIR6Lv9QUoBUqxf6GKJBKrd4+AglBxZKU2cjtdfsSDoTzE2dwwOPeeu4HR65bfGCeESrFc8Vt92GrdY//K6OPoU6bSpMxe/x7XkmydSMUeE4SKQ8u1DvF+qBS3zJc4f0u+bztpGYIdUymWyh7LlfjAnOmMRSFt95RBrMO31hxcrnbcoeZ3Hc3fTSlaLvw512AmF/9dwTjP9HLZY6mrbx1UH8t+wD1La9+HDBqrTactFio+4juXs+tv/2ywqFUIMtfeNHSsGTeOc03RcIBuS46oDFKWxJSQdiy01hTrAVr3F+b2a6dH6c+kiIIFgkbTk7YlfrAmtG3Pm2tJ/DAKPIhLN1Aht853reayvMzu33rSyJLw1jvU167q2TaZstiUsTGFjH2v7ve9jxCwWK4jhOTCHXlkQ2hsyKje3E9e0RMSEhISEhISEhISEkZGCHGt1vrSuG2Jg3BCQkJCQkJCQkLCvYQQzeWcI9eyaOnPNXfhjUVz9F4U+mVsA631xgkhRygPITSGEH0nduq+IutISvX7pkg44RfDWXfczM17Bi//PS7tLlM7b72jY9v9ad7xvjRJ2r1E7Thsz7tMpy0OrdapV8Z4/kc4ZVMc3K+omhP8u2++jov/6z3w+jeOfv42Ft76jyzccSs7X/lC4rzOFLD/w1+ALVv6phFqePzZm/nCTw+vKw/rRRxnrdda8527V/hZqoRlyNYS7FLQcrUTAmTTDb5piifW7otlRI5nMkac3axaO/O9Yr52N9t9y1VWUz6zGRfXkgShRqEj18V7LdCnl/ZzVryAlCnxA81EyiRrxwvt0pZEEQkKBSYnTXZ+HRiqtZQnXYtAKY6V6n0Frt3YhmSx5pE2Jfvaxh7Dxjb1QDGVtqj6IWnLYKHik2ssYd0U0FZ9RRDqjnu58po3sfzqPyO8/Ta2vemPMCoVKvkJPv+n7yUzmefkqRROPWRLzo7EQIHquBYNLdFSk5uPrXLObH6k620iBS1x8ETKZCJjU/UClis+mzMuK7UgdplwraPAKj9UvOhVb0RJk0+9/x19z3PKqady9XU/x7ZtQLNrOnIFPrxSwzFkh4CxKRSSRA7UlS6hrBSROClSNUWCvKaoxjR6g65cK3oGg1BjStG63naG9R2TKYsp10YIgWNqdk24HfWkHdsQbM5YXH+kyJmbs6QtY2Q35ybdS5/3w1edYmlfdYm42gRH3WKrSEy5drTdx5WyGw0YUiCJ2nGI2rxaoEcWCdsGBEqP/O5Q81VsMJ0GDi1X2TaRao3flyt+K13RJdszJSzVfI4Ua3ihxpBhh7LPlMSKgyESY8VUHawu+8ZRhILraXcNOZojf7twTwM522RHbq18mkYr6qtfZLTWcTA3XXIpZ197zcCLmrnuBhb/4BWo71wRs1WweuGDyf30KnY/+bLWp2WA934QHvIwZvM2m7JO1I9KMZrD9gC2TThIIVmt+j3iaYjS3jtXHmsArAGn0d+nLclM3iEuAdOQTKQt5kYIaio/8dHDxcEAYcgNJ5/CeXffBV1n7VdM5XrAUozI9uSpNHNlj1qgOsq5260cooAS14jvs7ufi3ZMo9dxPio3AzVgyOuHmnIt6CsOBsi4Vuw167jfhUBoqPcR23a3mVUv7PtdwTjVMc7sKNTxAtF62CkOzjkGpXqnEN8QUZnWA9Xqr/Wjn8DeRz+Bk17+HNh7V28m3vpOMk96Smz+TAmWKVsX1S0OTtmSeh/hbs410BqqfkixvibkT1kSSwpCrTtE2FFmY5MaCaXBQGBJja+iOqIRSNHZv2jWHIUDpWNFz3FsecPvj5WfQe3/UtVnqeqTcwym0nZPcFTNV9F4hcihu1kttYbJRsBEsRaQbwTyJOLghISEhISEhISEhIRfRhKBcEJCQkJCQkJCQsIvCCHAbExM6IZIuCkY3ghq98KyxU32L1fJ2Aah0mzKOj2TNmPTZ8LGNAS1IOTQapViPeTc2TyWiJ9OmsnZZByDTTlBsebjBTp2Ijvhl4tMJrPhImEhBNsvv5zJM07fsDR/EdyX5kmPt/lyDMnuCZeKH3aIrpquZ+1/CwAhsAyBM0DkddFH3zlQHNyk2SKdf+UXufsN/wcpms6Xa4LWZg6E1uh+M9R7zmD/166KnOeV4qPf28vumTRPPC8SBY/yhc5Z23J886ZjrWuNE6BJEYny2vPfzGiPUEYPWnCd1tLlG8Fi9fja6605m8MDRETb8vbQe7lcDViulno+P2UqTdY2O+rpvSU08MI1cUstiJYJD5RiuRrgmj7TKafnmFGEHE2UhoJjcqTY6zLZj7IXDnWqjsM1IzFH1Vct8UnRU8xkbCr+2r3z2yKptI6ELEvVAG/2JG77p89QrIetazQNyZGSR9oyOFb2qHohD94RCX/TlsHZszluOrpKzjE5Wlo7R6DhULHK5ky8a2M3QjQdgzX1QDfqSkDKktQDjRSCkybT3LGw5qjXFLe3i5UnXJNn/+5r+LUXvpxPvPttfPe/P4VXq2KaJudfcCFv//t3cckl7aYPa4FR2yZclhrX0NRP24ZEiChPcS5/SkPV7xS3tsogjASSwoj2C5TuEFz1c+0UAxqFnGOwJeu2RGG2KXjamZvYu1zlmgMrHC2tlcWOgsNp05HDpAbuWaqwZzLbP/EYIhHzaAPp7kfWEJKJnMFy2ccwJNNZm2OrdZSOL8uOtMZ4/sNQ055atSGAHlV05YV6PLdjS/QVWQeh5uBSlZmsg0ZTaXuOm6191Edqbjha7HDprPohhoieHehfBrN5m7RjUqz6zJc6ZbXdfVKHQ+kGIoQYKU3R9k4hhWDCtWO2Q+1Nb9iQfKlja/1zP6QQpN75bgC8fXvR3/w6IpfDv+zh8Iwnkf9p72oDGhCveCllIL1/X+sMWkdiw/KIq7TE5kdG4yVjgIi1LeZkILYhUBosMwrkCBXsnEphdAX3HDx4kP940uNJL69w2tZtbP/QJ8gMCJACYP7o8Aw0CQKWV1YoFApDdtTUvJCVPiLbtGPx+DM2E6gooEJruO1YkdM25Sh7Ad+/e741bsg5Ro9Y1pCRe747xFVbNupp8zuDlGmwZzozdOy8WtsIWXtbPmR/696w6wuNQMGhpRrbJt1YkfBGP/ehVuxd6nQNL9ZD9s+X2ZR3sC0DxxD4CsKWerszB4UvfDk2sKGd9nybstHHDni+tIr/rkcKmMw4GFJQrQcsVX3QkZB1tstNuimSrngBc6vx49xaw30/rk5EMmCBRrcCatqd9w3ZCJbo02+EerBrcxNjfn7wDmPSXH1BaY90wexxti7WfQwRrTphyyhqMGhzRM6lou+nZCIOTkhISEhISEhISEj4JSURCCckJCQkJCQkJCTcBxAimmgxWBMLNwXD62WQi9BGozStpbqP1z2yH6aEG4+udrjxlf0A1+x1gTSkIO2YrQnIXCraR4q1JcoTfnnJZDJcengf5XKZWy56MLo4gsNYF7tuvJHVwGgJprJTo4nK7tPcRyZLN0IkIITgYbsmeeTJk5TqAVnHZN9yhaXjeP53ff+ro5+f6Brkj75L9UGP5Af7VtZ93ibPvGwXD9s12fGZp0Ju717St4vfe9ypA7cfKfnsjxUYrPMuHOfN26hqOExgI1rq8PEp1QNytsWJ9hBuT70S+CxWfEr1tTp8uFjncJuQtynqbbq1QiRijXN9HYQpDXZNpNi3XB2+8zpwTUnGjhyDu518AebLHlnboNQuVmwIg2+eq7DYJrAVwO7JyK1Xa8g4BgdX6tDw97xwW5ZqoJhOW+zIp5nNuzim5Od7j/KCh51NrbL2/DipNN/92R3ks8OdhG0jEmiakg6nyKqv8FUYOawK2JSxmStHz1chZUbC21BT8aNr8xrOvJlMlpe+/q/4gze9hUecOo0UoyjtBX6ocMzIMdsyRGx5joMQDRfBMaq20jCVslisdorPptMWs5lOMVg+ZZGxTVZrPg/ZNcGXb5lvjetK9RA/hOajW/UVtTBylwaBlJEwrpmc1hqlQGndEnFZhoh1bY7DlJ2uulnXIOtYpG0TQwrmV+t9RdHdjFVefdqNbgfjfthd9zltyVaKcaJhrenrGqs0qFBzeKXWESgCaw7C9TDk9oXOfmYmY3PR9gJLZR9T9jpyN5FA2jFRKhIf75pKcWCxSrwcb+0zwVod1DTFXMfRO4x4f6q+Gk18fRyrHHSz8KUvwaOeELvNMSWTGZtNeTiwWIVdu+G3fwcA/+Io0C2uVNo/u2HnLjbfeCvl+pobdve+ok+wZRwHFmtsn3SJMehvMUw8KEX0z2vsFHhrO5vGWijWK/7XM3GuuIJHuykeZ1oEWiIPHaH45Edxa+hz7vNfQur1b+o5V/lXHzfStbSz/4ILKdxzd+w2AaxWvR6BezeRqF5iyrWAsDMazvQ51+KS7RMsVvyWC2vKiqytlYJQKXKuyURmLcin310RIhrDNDSQhHp4YJ1l9Bd8Rvkze4TZx4MXahyzM2DDCxXlekDW7Q0kHvWJciwD2wsxpEBpTag1Ydj5SGqt2bdcjYKLuvjE1Qc7/v6Dx52CY5tMpy1W28ZX58zmWucY1KW0b7KM0QM32rFNwWzebZV/yjFJOf2nbYUQ1IOQG4+skjINMpbZI7q2zcHBMt0uwe0XEqpI4O2YAilEhyMvrK2c0O5M3/wuK9SNQEgNOu3C+K/YsTimYKkx9it7IXtXKvhBNP5pBqg1sygFbMm5FByTjG22+lbdyNsGVvOEhISEhISEhISEhIT7FYlAOCEhISEhISEhIeE+RrtY2NTRZEfYcJsZdfLMvxfdg5s0J4XCDVAma62RMlr62g8U1UCxXPV7RB8lLyBrmdES4u0iD8douCt1Mpm1KaQtlsrxy+Im/HKRyWS45LYbOz478u3vcOC5L+x/kBCcfNvtZF2bVKA4uFyNJhzjduVEywc3lvvKfKkpYR3z67FEjpgmQQi7ChmWqusX6o7iHtzNzr96PXd86X/Wfc524upS2noAfq0zpq3XzgmXx586xbfuWmTvUq31ebd7Xe951q8QPlb2kEIwnW536z0xT7zWmrpS3L04mlj3SLFO2jJwDYkQct1CiKxlMpEyNzSoxjUlOddgteqzUBn+kAsBSmnqoeamYxVWYvrtyGm2xqnTKUwJt89F5fTmJ+zhqn3L/PzwKhUvZFvepZAy2bdQ4bxdk/h+r9CrXq3wkNO3YVoWP9+71DdftiFaAplAdTq/Bkpx50K5JaaxpGiNUVZrATnHxDFlSyDc/BldjKZYDzhWrLMlPyzoJHL+M6QkUCGhBnsMkV8/RhZIduQEdk6kWWxrXx1TsjnT6xQpiZxHz5jN4ZgG+1fqXHdwFYDlWsBcxWdbbi3w6/aFMgXX5KSJDF4Q73zcxBCRWLifKN5sCIy9UEf3pGufhZLPcsVH60j4NKoT8bhYhsHmnM2xLodzP6SvIKsdQ0bXYBkCQ3Y6hLum7BHrSilQI1yL13VCjcY04I7FSuuzvGNywfYCBddipeq3BFcZW0bvKVphSIFlSNK2QcY1W3mYztoYhmT3pjRBqFCqKQbtRGvN/sVKh3NnU5AaK5ZkgPNw4wOlNWlbdmzv5/JpSJjKWFTq4XEL7kdh/t3vZvNjn8hUxsKQAteSmEYk4vVDhSFACMn2yRSB0vih4u5zzh7rHMee9jQyn/kiED3jlqR1Dk3UzjqNZW2kiJxvhYzuRaiism3WD8cUHGz0td0C0CZCAn1M5e1Gva32Eat6gcI2DS6ayvNaK8VpmRzpxtIETlt7shuL5f/8GP4PvkfmC9/oTOTIoVGKpZOwvwu+BpYrw913F4oeWyZc4scWmqqncAwDpy0IYhD9nlrbkJTDsCH2jmp/JC7teoabfwqwJDHvxoKVukc9UMxVaty1WCZOi6915DhbC9bKSArB1pzbExjsmJGLvRCi4S7fmae5oodtSmyzM4irO2f9Rmi2GbU1nr/mdiuIVtpY075H7rgpS3akoYDX/+oZXHn3MhdszXLadIrJVNQuuWYk7PbCSOZd8xX1QA8U4FuGwDSg3qjLkTPv4F44rm9SirHE2aW6zzX7llpBVFNpiy0ZBzFSYFE8cX1/va3PbXcYbtIeZJO2TM6YybXciUFTeeNfwB/93sh5GFRuactkKVh7Bptu937M6hVKw6HVGiXXZFchBUTtarP631fedxMSEhISEhISEhISEu5tHoAzSQkJCQkJCQkJCQkPHETDGUgaDScWRhMLnygX325SVuQCuFwNokmyhihAax27fOiohEpz/ZHV2G0CmEhZzGRsLBFNEoZKtxyxAqUiEY5rYZndE2UiEinkHCbSFvtGFFxtOMnM1H2WLY95NFsO7wPgmnMugMUlEAJz6xYuvPYqyvUQQ0qqfohtCLZPphA6fmK3r2AlYSDjONnd1xFKsVEPvI5xLAxCTdoyOkWGY7LRzdHxtP0R4937B28vkLFMHry90CEQHpYLX4EhNUKLlkPlTMpsLUXfdI2L+t7IzbLd0bLsBRRSFsWaz1TKYbQF7Mej7AfcPFca+7i7FiucMpUm7xjrcrOD6D5uzbqU6uWRHVn74ZiSXNMxuKTI2gahChmkWSx5kfjpe/estFYoGMSdC1X2TKdwTEkhZXLj0RKbszbPOncLgdKcsinDQrHOWdtysc9SO4Hvc/a2LDcd6iz75jhDdR1faRPWLNf8DmGnrzSTKROvGvDRv/8bvvDh96yVSyrN+y//KdlstiO9vUuVAQLhSCC4UPQ67q2AHsHrKBgyEvk0hWNa647rs4yGS2MjaSlouWO2C0rDhui24FpMpKyGa23vU1j2ApTW5FMWKzW/wwH9lKkUW3O9q0Ks1AJuPLbKOZtzA5d7DzWEDUGTbUTXVAsil2fLiISzgYq2WV2BZa00VLwQqknWMRBE91zQ1k70z1YMOtbZEjoFWUCsWDtyrhYopXtWC6kFKloavu3hqnoKy4jKoNLnuvpx87FiRzmt1gOqfshqLUBoYh2WA6UxpEbKyOH60FKN3TMZTMNouJ1GbsI1L2RzwQXWxkpKKfYu9I7Nj67UR2qHDDncSXV4GoKca7JQqUcBF7bRKFdJ2jKi58OyICbIYD1oISnVQlK2pJByOoJkLGNNRCmlxJZEwsp6PS6p/tx9e8efvup0rO4U+saXs9sQW7YH3/gNl1jdeBdrVgfZZ/Tbqs8DmvSFkseTHnQOrzZdzjQtHBkvenSlJNSa6t698GevI/PX/69/oseJbnMpH0TVV4ShxogRvkN/J+9BxMh+ce3INbXZNvS4wcakoSQ916C1Yq7kdTjnDqLb2X8262C01deUJan5TY903eNW3UTFZDYu+3GfGbLTJb75vLe3haYUfcc+s1mHXz1zEznXiITxtmQiZZOyTAKlWK74lIaMOZpn98IoSCds9JlhQyhsSPjCzceiMbptEKroZ9Y2uGRboSe9tGOMNXZervgd92GxsRrDnqkMNII24trLSEwtesYwTSKRcNQWdB9e9RSuJVFK44Ua1+xNRwjR9h2UIPOIRzN4jZNOBOBPber5PO+aLFXHb29XawGlVEDGsphMW60yThyEExISEhISEhISEhJ+WUkEwgkJCQkJCQkJCQn3E9rFwtBYFlhHE2Pd0zymIdk9naJYC1gsH/8E9p7pNHcuVJACZnMuSmkWqx6h0sw30m9ORBXrFXZPpGKXuxyVshe2lunMuwZeQ9Sxe8KlkLIwhWyJEpRuOhfrDhHDQqnObKHXva7J8WrYmpNLzWRsUw50fEu4/3HpjT/r+cy1JAeX65TrkUB4y0SqrxAgYX1IOWRt6nWi9fGLacc+5wZKxPsVyfa827P8+y+SQDUFc2sS+aaJXEt+1PU7TQEu0RLU49Dcv7t41JBy//49vW7Sf/jQXWOLdyZTThS8o6P2IQjVSEKiE0XaMtgznSFU8eK9cZBCctJkmjvWWb8cI3IMXij7zLcVSskLydoGXqhiRZpNKl7IdNoaSSBsG4IjxTrVQFEtenzu+iM898KtZB2DjGOC1jztCY8YKg5u5+mPeRBf/961DYGsHii2rvqKtCVxYwRRb33jq7niMx/r+bxerfCSXzkdhOBTP1lb9rwWex5NzQ+ZW63H1i8pQRLfTlgGGA036ab4PVTRs9pcSjyunZIiqkNSgGuKxrLma/csZUn8Rn03JZw7m0drTYyhH4Lo+ah4ioqnWKr4mFLwvPO3EmpNPVQcXKnSr4QDpZmreEy6vQJiWBMv+qEmaI0HI4FaLVAEbWXqhdH2fk7D/YTWUoBrRfVpEtBKU/ECFsr+WM280rA04ti86iv+/LW/x2f+82Ot4LtnPe/F/OXb/qnvODbUmpQtCcNo/yBUSBEJ98wucd1AdK+rMMA1+5cBOGc2R79QjOg+r4lYQ6UxZCP4QsFKJWAi3ZyW0NR8hRSRu2h8VkYQB4vjFwe7lqRSD1mqVFiq+SxWo3/dnPSN78FjHnJ8J2sQPP+lWKagWAsp1ipMZy3SttlwV+4t3wNveeu6zlMulch0BSOMQ1y7pDQtYbEhG+1EjABRAI7VX7TZfZ4thw5x9sRMX3FwE0MIJJryl77A9N++AyGGu/IOolna3bVtZQxx4rFina0TvQEe/druJuXHPITyygoHWpkRnPStK8ju2bO2U4y7dlx+u3FjAg1Crdi7XGkFfIxCNVBMpk2WKpGguP1IQeSOO0rrUg8UfZryDuJG0ENXh4DGChG95ByDqZSN0hpPKXZOpsmlrMg1G1j8+fXMvf6N8KCHYL/yj5FEQSE1X0crGnQlG1euzXwfXq1T72o/pYADq3UesqNA2pSkbRNDimiMMgbtTs5Nql7IloKLFIKqF1DxQur+2vcSKUu2vhfRWlP3Q+qBYqXqd7SbVV/3XUWg2QY0nZnb3etln+BO69efjv/FL4x8bZX//EIrmc0Zm3O3FfBDxffvXmCM4RsAs1mbzTkHoQWOFX2BJjj+74ASEhISEhISEhISEhLuryQC4YSEhISEhISEhIT7KVI0ndwigVWo10TDEP3cCHEwgGuYnL0533Fu15Lcs1SFUomJf3wr9qH9VB76aErP+232LlfJuyY7cql1iYTnKx43HStzYCUSFzT1l6dMpZiv+Jw6neaGIyVOnnLZlrVJWQa7J9MdzslVX+EFqjUhdLy0uz71c3RzTdFwrxvMfWVe6r6Sj/sThhTsmHS4Z75KPdDMrdYGCtETxudElWSoYVPWZu/S+p3Dm5LXUSlfujECokGk7eP7amejpdgVP+S2eb+VttaRtEurrr+b59cQ6Gi5+VBpFA2h14gZ+8btCzxkV4HDxai/cMzIxX654kfup22uhsM4nrLwQ00QRs5+IlAch0Zp3Zwxk8EyjLFEcq4pEZK+jqm2lMzmHI4WR3estA1BzrVYLHvMl+PTLXkhGdtA65CptMNk2uKWY52OvUIITp50OFL0qA1RXXsNYeip0ynuXKhy0bYc1xxcZedEipoXEASSn157zcjXAHD7rTcPPW87FV9RsM0OUdPfvPIF/PT7Vww+UGt+48JtfOqnh4ConWrbSLkWMF/0+opnm+6fYddnTQGwH4Lf9+j+tI8nhYiWEm8XSFV9hW0IbCN6dv2g4RgZUwFFIx3HjITKgVIYUmAaEhPI2Cb7Vwa3zXU/BLf3c1OKNeGSLQm8tUxGbU58en6osAzRI6S3DUlVKZTWBFpRDxQpU2JKg/mSh9KaQtoGKdBeJF6tBSF3zZdQjfYt65hsjXWB1iyV40Ww3Tz1URdz9+23dR6tNZ/62L/xqY/9G6edcRZf+PbVMdcVXdtaCUDYqMe2ubYayfFy49EiOwspCo41tO1cqXhMpG2MxkojO6dSIATlmo8fqpbgsC+jaAKPIx7HlAIpIVQKjeDupdLAZ9/KZdmYNyzIPOkpHfleKPks4OOYkq0TvePL4hdGF9t18MXPwXNfcBw5HUx7sIFrRXluOpQLRJ/Ah15e+aJn8cx0jv+fvfeOmyQp7POfquo08Y2b93YvobvjAnBEIYERCAFKIBEsY+WcsSVZyVhWspKtn61kbCUrISGhhAQiiSCERDrCweW8d5v3zZM7VP3+qJl5J4cNF7h67rO3+870dFd3V1f1vP3Ut6IZ76tDIUEa1m+7jZUbbjjf4gNjUmyNoTlq1MMYmomm0UrtvYDYFZxHJaoD1F74HKhWRm2Yh77kxQDc8Iid2aSTWN5LZwafcWJ0IZDUBvr3OMs4VW3SSDSlcPbvyZk2fYnBfcWlPRDEE2TtdPFxl+NGLWEh73M+d/zrM9yLZBpCJYYEXW3gvvUqibYDX4q+RyPJOHfDNd19AOD222j9we9igObLvpzCL/5qtx/xFXhSkmkztvRxZvjSpyzzj/du9JVBG3hkq4kvBcc2GxxciPiWZx0mmuN3FZk2o7/HiHa6OFCMfNaqCVLsCrH5YDelWAhBFHhEge2TfSXt4Exsfc+0odJM2W6MbpcbiSb0+vc+G9PRBj/9SySfvQ0eun/qvqmf/gX2ry6ymKacq8UEnh0Q/vBmfaQsfs1qkc1GzJ5CaAdUGDhbi9lXCji0mEcbQ5JqokAh2J0txOFwOBwOh8PhcDierDhB2OFwOBwOh8Ph+DxACOg8pzFtSTjNbNrNtLQVKaz0OA5jhqep1Ab43Tdx5Hfe1PdwLHff3az88f9FC8kjb30vD6SaI4t5PCHmEii1Mdy0v8CJ7VY3mRHg3vUGVyyEtOKMF16xYGUVoJZkbDWToWS5Sfs1T3mC9lTUStik4PHpVBcvLfTR4IlT0scXUgiWCj6nt+0U79VmSjk3XZB5/PP5/9S0NuM0yqNIVlbx19dmWrZTFzZ+/n9dtDTkcalpaWbIeZLGecbWXuyzvpzzWYguzsAM6E/7yvmKt9+13vd+K9P804Ob3Z9fd+M+FkKfO8/tdBPmP/Tg1mwbu8BTZYBsghQzL2LGs7O/GLKvGJFqM3PCWmfq71QbssTgKysWDpVBCFaigJ1mMjWZsVcMXp9BgqzFGXuLAQdKIUkG1+8tccfZysDxEzzrUIkPHxtOfAa4fCnCV5KTOy2OLEbcebZGTgnuPlXhin1FmklKquH+++6eWp5RfPoTH+UZz55d9M+M4KqVAvet16hWq9Pl4B5e94zD/MWnj3dF+p1GMtNAr1ZqyAdyN4U71d1Uz4tFI9F08kx71zyYMNtMM6pJykLo90moGobSepNMd+XmZjq9bR4XJppp053avjVYRyccBm1AZ1byCjyBMe0p2IWVwE7stDjXrseXLUQUA4kUgmorJfAVaab56MMbZNqwpxiyWY+7x+PQQjRGEIZCoNgZI151eO51h6lsb01c5t677+R5Tz3MR+84PvRe5MmRaarNxOApgRTDouEgk97uiNUndhos7fWndnPbjZR8qIhk+1FE2+aNfEVjDvlyEmJOQzjyRHtgpR1csOvQ23TpiYMDDPChT8ALn30BJQb27B/7VivVrFdbrJb6rXgRzBC9OoqDh87vc+eBaLcUgep8Z5rtvKwUAz7wj+/mZ/YeHCvUjkIbA9/77bTe/6/2hb99N7zqZXOVOfzW7+j7uVObxiWK9yKlTcYOlEAKwXotJtkx3dl/aK8rF0iaPbJu9QufAa3m1PXfdtkRbnjkGHec3sFXkqA9nVAn5d2Ttg2Le9r9oD26dvA610Zz/0Zt7PW/EHl4UhBnmkzDYs4jUJIz1Rbl0GO7udt29a6iM5C2mRp8CflA9knhkWePjQZ8Kc77G7PvSaaNwDIGjizluXetf/aDWk9bc+2eEpXP3UrlG7+uuy8ja9y7/4Ha+95D4eOfA/oHYOTG/J5BYGdAeOlTlnnX3et0TosS8LQDJR7cqJO1ZeF712o867LFabvd5a4zOzTGzIRyZtvWpcgXRJ4kMxopBEoIAm90BxoNDDIUwg6WWC7amZFG3feFnh181+l3pw2eLPz122n8zH9Gv+2vRy8gBOoP30J0w022TJ5HPWlQjTOOb4++Pi5fyuFJyd5iZH9X1T4ky7mAUuhzertJM9H4Eg6v5Lt1zfv8/6rrcDgcDofD4XA4HGOZPE+Tw+FwOBwOh8PheMIhhBUciqHiC/blObwUspDzuim8Q8tjHy6O+zNqKuLaq14Ov/MmZPvzg3+k0Rx9zUtofuwj3LNWZaMZzzWtt8FKDS99ynLf64uR4v23nyZLU0oD03Ge3GmiBr7hnNhs2MS5C0CJ3WnaMzN66lolwVPMlTToeGKzlPeJfMlywSffUxfdc8fHN+OErVk4+eZ3ALMLDWlp4by3NYpx6VxgZbTz5eLprJaLnc5l6E/Hn4YEDi9F3T7i5M7sybcXg1QblJQESlAIJJEvyPk2NXVWVLsfH3duSqGiHHnkfcVN+8us5MORffUogp60wUaiu6mwmd6VhgcRQnBkIT9xnSuFgCQzrNfiuWpUKfRJUtPuRwU37V/g8EL/depJuHZP//aVgNWCzxVLEYfLAc8+VGRfweOG/Xlu2l/geVcsshwp3nPvOm+/+xw/+TM/PUepdvnN//FzQ6950p5TT9rZFHoR2OOYDxTf+eIb59qWMZo9xYC8Ujy0Vp9rFgjTvj9pJnrma2VecoEce26lgJ1Wwm1nKhzbbHBsqw7CzDx9/SwJinuLo9s5g71P85UYse/TD0YnVVBJK3/VY02SwWphV8R8ZLvJ8Z0GJysNbj9T4X33nOWf7l/rXj9nKq0+WXq4uTYkWUa1mU5N4/7P/+G7psrBHXa2tvivP/oDANTe/rfUnvlUajdfx/pN17D2shd362MvEgh9OXe71EEJuGalxGULOW7cvzB7QvvQLbJAKUk5589fiBHMWtc6NFPTTh4ffq8cTc9UKRSLVhK+AArv/gAwPBCzQ605/B1m9Qd/8Py29aIXn9fnzgchrBA6D6EnKUUexhiCOe+mNUCjzv72vVDhyJG5Pg9w6Cd/vO9nA2htOFdpkWnDwcWIK1bzXLEnz+GliMuWI67YY38+ulJgTykgzgzNVHe/N3YG7WrTbhPagzgMUP3D351JDu5w6+VX8dBmA62H25lGYohTQ66d3NwZ2Bpnpu+LiTGGh7bqfe1kzlfdNiL0JLU4Zb2eUGllxJmmHPoUfJ/LF/JUWmnfd91ASUJPdNveQNm+USk7vZGSwr4v7fVWb/dRy8UA09bIJ53pUVeFnLVPUWriuiNPQlsOZkw5uq+lKbWX/5u+90bNJtQh0fb1Wpzx8i9Y4VVPXeUrr13hK69b5flHlrhxf6m77Mce2eLuc1XSTGOMQevxv0tYr7V4cKM+8j2JTYauxxkbtZRy3ifJ7AAiT8khEXg6gpXS8GCEyLepvom29xy+Eihh61YnzXoUuf/631i97W7U7/wxXH4V7NkHT3sm6l8/TeGTd3TlYLADca9YypMfc08KUA5tvzHqq9FGLenK6XvLEZ0zqcT4gUYOh8PhcDgcDofD8WTAJQg7HA6Hw+FwOByfx0ghKEVe+4FrQD3WVJoplWY2s0w0SO2N/wkePjZxmU4q0NH//IMce9fHOF1pESpJMZhNAug8W0oyzeFyyPGdFs8/ukA5VHz6vjVCT5KNeIDWyjRez3Su2sCprSaLeb89lWn7QZKYXeRUUpBNsR88KYeS8Ryf/xxZjsiMfShuAIzGCFtflLKPvTupSk/8dOFHj0t5rOZJpBvFwz/+8xz5pTeOTcvqlF1LyYm3vueCtjXIuARhgJx//r/emTWldvb1PXYcLAUgDXGa8dS9JRpJxudOn3pUy6CNTX4MlE3KayZWB+qVSXK+xGDTfgeTXjsCQ5JBICWHFyJyviLONNVWihBQaWWkWYanbMqlxNbtUcn4UlgRxmDIjE04HtWlaQNxNr4f86TkyGKOh7d2p7b2lWAp57NWnS0xeJBACR5Yr3HdnpJtRzWAYSH0Wd7v89nTO4AVlPeXfLabAUIInrISMZg/2Nl3E2cUlwLuXGviScHpSgshYHunNlyAGWjGre6586QVoZqJ7t5DpVoT+YJMW0Ex1ZokExxdyJPE88vpX/fCm3j/LfecV1k7qa4XEynseqUQ1GNtk2klNHpSMD0F963VqPUMyNpupmw3K4BNoNxfioiUslPUy91ydo9jBqt5n7X6eCm6M0X4KMbd08oZU2WlsImZvbdyEtmXzl6ZI4Fet0UvIUR30MTxjdlkwL/5izfPvB2AD735D6j94z8Ov3HyBNWbr6PqeRQ+/jkCJezMGgIaccb9GzWUEBxesEmMs7KvFGGwafEPbdZYiHyUEJRDb6Rs22HcgIdJ7c7uZ6fTSPRMM6fMQqhmS8EvFIvwqTupVavwJc+DbMZBiUJQ+OQdwG4K7KysvvY1nP6hH5p5+ccCgxVCZzlzov2/hZzXvl4ETWPIz3G/pgTIhYW+AUqFT91J7ebrZlvB29491H+mmWankZBktv8O24MYBOB7g/XDcK4yZx/4a78686IGkJltfzS7ab2DNBKbfq1kT7p7+y9tDCcrjSGptdrKkEKw0v6evN00vPSaPWxUYzKtuzMLrDdj6gOfTTLTlxQfZ6Y7a0bOl92k3UE6ku/5XKoLOZ/NKYNnOsdnbzHkTHW4H17KeWzcfMN8Gz57tvtPY0YPoO6w1ewpn4CDpYhGqkm1Zqng87kzle7bD6w3uKNUodlKKYc+nhT2/KX9CdQPbdepNMf3QZmBu85VuHrZyseF0GNvyXC2Eo9JDzZsVGNMV9W2x20hH3SvBV8pjq7kOLPTopVoohFSdNxO4ZcGEr177kfJ02lmiJ75LPjrt4/djw6R57GcD6hvN1nJ+xhjB2Iv5XyksH12NqUGlSJF0JaMfcnQQHKHw+FwOBwOh8PheLLhBGGHw+FwOBwOh+NJghCCQqgohIp9ZUMz0VSaGbU4JUvmeET3D9Mf6sCuFHnotS/lxFvfSyPJKPjeSIFp+LO7y9x0oMCRpYi8byXcb33hFQCEnmK10P+kpx6nlMP+tBubRpyRSxVCwOmtJnsXIirNBCUYm3zWESlmERfinmmyHU8elBQobPJmpZlypp1Uqo1N4TqwGM1U3x8vPF5KOk/a+DwIYyhHPl+wWuB0pQXCJm5tDTxwn6STmRe9lGOHj3Dk+79x7HaSPfs4+cd/1/upCy06ML6t8hTcebYy+s3HgFnT3c6HSUfyxn0FvuTKZSRwrhrTSDNKgcezDpd41z0bF7z+eYkz0zf9dJJpcoHspv81EzsteCe5ryOgih5ZLNWw0O7TAqkoKMUda9XuOrNUc+9alWKoWMz5BEqx00pYjQKklESepJXp7rTa09qjTFuZeFwaftH3WMx5VFsZizmfzXrM2WpMKVRUWvOn9V+xVEAKK58Gqr8PzTTctL+8KwkjeO5lZbYaSc9+9O/P2k6LP/rII1xzoMTqcoHDCyEHF0LuX2/wjFd/Fw9+7L1zl/HbvueHaCaafCCox6OloGb7HqpX8jvfwQinT548r881Et0WsibX4sFp6Pvea9/3pNqQaUPg2enDWz2iX6dudJatJSm3nqqOXF+HrUbKVqPKnkLA3kKEzgxCGOpJhjGGcuiTaVjJBxMFYTnhnm0UOV9ST+z9WabHS8RgU4OVsBJRx2vypKAc+TRGCGbT0MZwbN3K9BLwJyQh9nL69Om5trMoJL+9sg9jzPjrO02tKPmpOyEzKAF3nK1027sz1SaHyuMTwgdZr7dYigK0gcsW8jTTlGoroxz5jGtF875kp5G2Z1zoLaehNkF6211qOp3U1ItBfcrsI4Oyc6FYhE/c1v059AS1WpXWv3k+xD3iqPLgAx+hUCza5E0JSoihel1PUtLMCoKndhoMIg4fxhw/PvP+qFe/tj0wZTRSQOT3n5ekLf7R9+r4e6Te15JMj5UEc4HsDjAIPcneUohSuwNcXvEVX8k///O/8JIojzdjO6oNHHnH8PfTmSThD3yUwsICp7dbLBc05ZxPK9Gc2Wl2JdzepqPzz97jkMw4SDTThsiX3XTTWelsa+UnfhD9pt/BV6IrjzYGvsO3UtvmdYgzzVYz5nS1NWagmaEW2/uEvUWfq5cLbFVjVooBlUZCktl2em3EIKDdYZBzMsfHBhcTwgq+rVTb5GhjFVdpQ4sRQJxqypEiH+a4bCnXXU9ns6XQ44F09gEfnSLf9dP/FfH9P4I2hiuW8kTe6EeruZ5E/FpsNdaF0GdvOSBsz/zwTw9udpe5cinXTcRN24NoDP2DHcqhx86EtvK6vUUCqfr6uULks5QZ0jGpxNuN4fUpKSjldn+XIoVgTzFgrRqPTUz2B9reUYOm5x0IoaQdlHOwHLIYBm2RGUR7ILjXM9Cocz/SSndnUFASVoshIJDCycEOh8PhcDgcDofDAU4QdjgcDofD4XA4npQIIcgFilygMManlZpusvCkJNzaR/917m15FSv3nK3FZMawrzCfNNlINKESQw81z1aHH1QqmVIM/CExp5loTm83WSkEZO1UYbs8+HI4cS/07IPq3gdh9uG5xBgz9DDWmNlT6hyffygJCzlFPshxfLNFK9W0Us1Da3VWi357+uzHi377+Oc8w82n8sBWndZ6jWtXi1y2YGUoIeDoov2HMR0ZRvDZ09vjr+arr+Hhd30MqlUOfte/RW1tYpTH1itfS/XbfmB4eXNxzv2kBOGLJUVdDC6hHzyxiV2rJ3zwwU0iNIu5ANMWaC40NfpikWpIu6mruwJwqjUCKzOm2kwUKMyIfTHYROFeQdcYKAUeibZJ5krAdiuhHPioKUmhYsLbQgj2F0Lub9X6ZKFUm7GJhuOw01LbvtZTAoEg53cSeEd/ZruZWlGlJz1QCljO+7RSTZb3kcDdpyo8cLbK1v4SR/fZNL3nP+eZ/PXsxevy4i/7cgwww1ihS84oCTRrp9RKMZyu60nwlSRrC7+ZsamEoSfaUqJdnwAyY6eo75iKSjJRYoszg0k11WSyZOVJQTFURJ5iKdqVjgzwQHeq9AZP21/GCGlnbRhTkVqpnpp0K4DAk/hKUG1fE632PgsxfL+3WvSJfIWn7P3duUqLpOc6XW6nao5KoZwVDbRmFAL/+0//2Fzr/vXlPawqNdN9de15T6Pw0VtB9DelW82Uo4ti5plFWqkd3ND5uhAqjzDvkY5pu46u5BBC8NBanWozpRj1SMKGoVTSkcxQNDWvQT6BrcbkhNJptFJDEBUo3vK5sQMuPCXaouxwmbcbKScr4xOnb3r7e9l5+mTxtbPWLAiRP/ZTNBKNSVP0bZ/FbG0iogh5/Y2IUnm4bFJ0B2ecDwfLIUtRCFgJOM00gdf+DhVrFnMevicpRv0zyzz0hv/Az9zyGTaDkNkynKFpNNoYivv3U2+lrBQDSpFHtZmSZJrLH36IWivjoec+Gzbag4VyOQr/8qmhdW3UEuJUd9uODrlguN3pHl+tWRvxnXQUcWYQF1BHc7d9mmaqu4Np1JjLvre/6qTbT7qH7HC2mlAOfQxwdqdFKWynJgvBnmLImcpuO3jt3iKyJ9VdAL3B2+MG+y3l7fqNNhMHlHXeGV6LYLEYcm6nSb17nvqXCjzBUjG86Pd/B//uL3jke38YgGNbDZ6yUhy5jXxbEI48yYFyhC/t/d3JrRZLeZ8b95U4WWlx75rtA3vXEXqjZyU6tJDj6HLBptMb05WHDViJOxNoY+/FBGCMRghJIfQ4td0k8lNywfRHwVv1pCtSSyE4207GDkekEPtKdBPApxF4ojuYahpK2jRkJQWLym/fp4zeSORLskzTSPrl+8uW83QixUcGKDscDofD4XA4HA7HkxAnCDscDofD4XA4HE9yhBBEviDyA/aUbOpOpZlRaabDSTE/PEJ+m7Ru+h/ZbdQT9hVCLpUsmWnD/RtVLl/Ko4QceLgoOFeN+x68ZRq0MOR8QSMxAwk0uyXvrCfN9NipXSeJ1Y7Pf4QQBJ7g8tWoPeWu/eMpyXAG2+OUx0kxZ5EYzoc9hXDoNWPAeha92zTctL/MeiPh+PZwcl/kSZbzAeue4OSb3zF9wxfpuI47LmkGly3keGREWR8L5GNQkRSGSiPh7oc3uf9cDW3gP77sKYSe5PSI1LtHi1mPhE26n96HzLq+tVrcFXj3l0I8KTi506KV1+wv5qYWZlS6vjaGRprxyFZ96L1GolnJ+6xPSH8dJMkMQsKhhYiNvnMkCD2bBphpM3wfUUvI+6qb8LmcD7r7qjzJN37RUf7gX46RZIbbT+zw4LkqX/fcy1guhuw9fISzxx+euYx79x/o/ruVmrGJmBeTIAioJQmNRLOa72+zYp1xthazt2CnAN9qJJyrxYRKspjzWMwFREqhjcFXgiQ1oKwj03vOehOBx5mXswS5CyEo+T7X7/W4b71G5Ct8ZdN6a3GKJyWNJOOyxTxaG0Kldu+VjGBfz/TvnzuzgzawmPNoxJrWgJEtsGKZJyVe+15NYE2ojsgkpU0KFEKAMVRb9e7nO0LdwcUQT0ni1CZ2+56kc2UJIdi3ELFeidlppqQaJJJ9hZD1Wot5JokYJzNNIlCCM2dmT5B+mh9wVHkEs0pwcYySjEwCvevcDtfuLY+VfAe581yFhcjDl4qVfDBxcECq7f21r+BcJSbnK1TbbLxYvb0dXHBx1qaNmZogPK3g+UCytxzZ9Wkrng+STTrWU05ppVrlp577HL71X/6Fo8o+3ulI4r1rTcuLnPiLd3NFvU78lj8m+bM/gTShe+EkCerFLyX4ju9FXn7F5I3OQe+pEHacSl/bGXiSQo8cXD19moee/Zzuz0tqtkdWiTG0jOGq//JGgHZCtaWU211/MZJc9+lPcWKzMXGwR+TLITkY2vL5GJQUHFiMOLXVnCkZuJPSfr7sL4ZdOX/UWkalxPf+pKQgVLLjTpL2HBBpm06qcUrO6+/v/J5jcP2+EhiBp+zyum2U3npqVyrvJMYP4ntQa6WsVWJygSLwJJEvCT3VTc4dVe5BJr23egnk4EFSbXhgo8bly3m8gZFVnoSrV/L4UiGFQJvd5OzN9n3SkcWIB9brvPqGfRR7xN1xxW7EGXtLPlEwSp03bNViNuu7A3YqzZRyLsBvz2hTbSRs1GIWcv6QmN+/X7BetWWMepLvU62Hfv/hSTHynkgbhpKyxcT5WXY5VWmw2UhYyHlsNWw6fTPJWM4FyJ7jbIztM3u30WzPpJDp/uP4OPl663A4HA6Hw+FwOByPOU4QdjgcDofD4XA4HH0EnmSlKFkp+iTZrixcjzXE55+gBvax0ENbDQ4v5PAnpMANTt07D3FmuGetBtgHQr4S7C2G3Wna9YD1YowVR/KBTdkbNx2uMe0pvANJY8TTZW14VOQhx+MbKUTf1L6mHcjo/PHZuVQJwsUZkrM6pNpOB7y8zyZXGQza2LbJk5I0MyxFPqerTRqJpplm48t9kfYnm2DsLeX8x48gfAmTusb1DZmBh05X+KqbDvDbH3qAODPc8sg29SmO15OB0z1i2kLkt+W3lILvjUwd7fRhvf1ZojNO7jSpxuMP6Ho9YSnnsTliyupRLEQeV6wWAMH+xY5EZMuzUW2x3UgRwEreZ61HPNbYOrarmvTXiYNLEV9x0z7e8dkzANRjze//8zF+6quu5V0f+Rw3X7YwU/kAPvipe/t+bia6Lzn1UvC2f/kcD2028JWgHHrU04ykfc/RmTlhcJrxVqY5U405U41ZzvkcLue6QmznHOZ9OVtSaxslBXqKLCqAXKBIMk0rM7Sy/nJ50lCOFL4QHFjJs1WPkRIasU3NrvekD3faz61GykrBp1XrL2vOl6yWhmWzSYXzJfTucujZFMfQlyMTQTsfXMj7ZEZTa7UHkxm4cqWAJyV3nK30Lb2/FBJ5w8JW5Am7DWNFJdOJZOxgOvttuvJ5pg2vff238KmPfWSmXfz6QolwDgnOAGdf+zWc/c0/HHqvlRk+e2qbg+WIpSiY2G0tRB5H2in8dh8mb/fEZpOjqzkOL+dJMt2Vg8Eem07djHxJIbSzm3TkvrM7LZqJnlie0LPT21+slG/B6EESvUzr1j0pu+2rUkxNhx9VhlGcePA+/vM3fRW1nW0A3tl+/b+UFnlprkDYThPn8ivRb/lbjm/WUVubZD/63ZjTJyEelsOzd/8DjQ++n+jX3oR6VkfSvbAbl14BdpQ020gy8qHtg6rVap8cPCt1rWkaw+FXvJwD3/M9wORSKyk5spKn0khYqw4PZpn0HW7UNb6LPVt7SyEPb0y/D/PU+QnCAvBuumns9aba8uageC4FnKnuplEHSvKOu9e7P3/FtStEwtBMNdrA/e1k93LkccVigUAJEIZlGbAYBQh2r/kHNutD/VGHcfesW/W0KzDX44x6nCEFHFrK9Q0wm3aExl0jOV8S+rPmT18YrUxzbLPO4YUcQc8170lFqPr7mEasUXI33fnKpTyHnh5SDvtl3WTMDUamYases88fnInJcHqrOVR316sJnhTdZaNA4SlBrZW2Z9eYvn/NRBN6gla6274qaX+3Mi0NuBgqlgs+zURTa2V9db7z+xkrhJu+ddWTDAPsNFLyvqLaSmhlhq1mypH274+EEGOT2RuJ5tBS/72CNuPTth0Oh8PhcDgcDofjyYQThB0Oh8PhcDgcDsdYfCVZLkiWCz6pNnwmDKFen/7BAQ6Ww92sOgM7rYS9xYDIG/2VZDkNCHsexvY+0xlKhBGdf4vudKa92xICDpYjBKL72W5wjrEPajNttTMlBaMcwmLo0UwyfGWTjUrR6AePnrRTpWMG80h7/2FQUqDkfA+H7b6eTybdeEZNF+q4uAgBnrAPdi+R93rReDw8O50m5TzaZIaBKE1BmhmEMNx2ptLzKqwWfLab6bAEJPp/9tXwNPezMCnZ0Rhbz+ZJuOxwsUPWLnVq20iE4PL9JT53Yps4M5RCj3pqLv7OzcnjqCoDtu+ttJoYY7h6udjtM8eJwoESnKw0uymv06jFGb4UJDPIT8+/YoXdVqd/+wZIdcZ6Pe6TgztUWxl7CgEGw1aj//04M9x02SK+knzonjV8KfnaZxzksoU8npLccbLKUw8Wp5bvjpPVodc69wmDctdPfu+/521ve1tfUxH4gm/9zu/j93/7t6Zuq5cjBw9yrt7kXC3h3vXaXJ8F2G4m7C9FQwm2VsC0Us/ecsBmLWZcSKonJ7c3YKXMTNt6oiTcuL9MLU55YGP3HjHwJLVWSivNOLXVINWmPVW4PY6VgaTOcuhx2WIObQzrtf7zWk80cZoRTBT1dmkluk8OXsh5LBcDZunptupJVw7u7otUGODaPUXuOmfrRiFQLEXB2DavEdt1dASrcRTaA9TizPDK176en3jDd04tI8D1foCas43z772bVmbIe5KcrwiV4Fz7GrPdnU2fVkoMDajrsKcwOTF4FDuNlMW8j68Gz59g32JIpq3AOciB9uCBNDOc3LLpr6FnU6SLoUea6b4k2t21Wk5u1YfquRjxQ+TJrnAmhODaPeW+5aIeeVRJOLKSH14JkGnNuZ1WX/ImCJYLPhsTrrlBRh3e22/5V376218zcvmfq2zxc5UtAF7wohfze2/5O/701tOcqzT5ql/6fjh9HNIxgze0hkad5hu+h9yf/TXyyNHZCjmBaTNBVJoZmW6xlPd56KnXz7zeTp91Ikt5OEl5/Tv/gdKznz1HyQSlnJUWe5OCpw3wDPzp35eUkuxfCDm9Pb6/HExVnZfl//fmvhlrOoNTW6kmMzZJu1e2zIxmp5V125/LFiIipfiSK5dYryccWQwxxl5TvcLlQuRx+WIeYwyxtn2CFLvfl7vrn9BPDAqyH3jPO3j7374VaQwve+Vr+dKXf+Xu9nI+nprvO2ngSRiR9uzP8N32fO8MW899PnuKQft7vun2+acqTRZzPstRgCc7CfftNhX7P2NsknpTGzwlyAce9Xi4rKFvE+7TocEtdqDE6e0mS3mfqPsLC8GecsjD68Ny+kYtwVOCZtw/yKIex8z6KwDbx/TUKd2e3UHYfcr5NrF6sCps1hOOrOQJfQ87nsTQSjWntpoYY+/VOh/ylUAJQS1Ju/VQY2/hW/fcy2Vv+CZkmhIDLUA+/ZmU/t8fo83oM+nJdmx5m1lkaIfD4XA4HA6Hw+F4MuAEYYfD4XA4HA6HwzETnhRc82d/zN2vfPVcnxPA869YnuszR5bnSIl71HBfnxznjyfbyV6PN2PwcYaUYvK0248DpITPne5PkTTAWi2x0yQrOZC0ap9MX7WS41DZCl1nagl3nJlP/pskXWpjB3Skj4Oo6sfKya2mhmLbArhqb+Exl4MvBRd6Zay1pcucL1lrtIg8RdEf7tuMMTTSjLvXGnMlHcaZYSnns9kYlno77C0G3HhwYaQM2N46nzu1PTGt2I7DMWSZGZnmm2jDDYcXeMl1ewmlwh8Qj+44WeW+++7jVS+6Ga17psCWko99+naKey4bu+1WarpThT/0wH18+Rc/feRycWLmloN/4y3vYL0RcyHDNWxbIEhHHL5mYljIeRRDD2PgXGU4TRRsQrI3QoTuMCjTdZIFc57X9zkpBJmB4ztNfClYqyccLEcsRh7HNndlplAJLl/KE3qKTINEcNVynq1mwnqPID7PJd0cMDELoccsx9UYQ2VEImbnSCghOVCKOFVpcrgczTQgIp4ycqMW7x7L0JOEYUSr1ZzwCYt3HvVEYPjMyQpXr+T54qMlAAJPUYtTDpQjJLIrbum20BYP9MnnM1Rts5YQpxl7y7kRQcqS8W5gO5FTia6Uawf/TS9DkuqRQq4Z80OvD53rETmjkfLo6O0rKdm/mKNfqYN86JMPbVs7Ku1zGmmajpWDB/nnD76f//lLP8sNr/0+vFs+QvncCeQ4ObiXuEXyB79D+FM/P1fZRpHq6fvXSY9lwuwIgwhhB4M+/ad+ipd/z/d0229trLgqmKVuCPKh6grCkS+IL1L8dC5QLOQ8tsck6feV7HveAG/6tdlXrhRgr0kpRbd+9tclW/NkOyG2mWgaacpqwUr0Rd9DSckXHV1CSMGZapMTW01qccYN+0ooKdHt9ru3b7X/Nt3ronPGrlotkBmD0XRn2tDGoLUh8iSRJ/mOr38173vPO+nlHW/7KwC+8IUv5s//5h2U88OS/zQaY+4R/DE2qNamnVh7fvdSAtjzpt/re61zL6CNITOGVNtjMP7Lnk3MTTLTllj7yfnSztiEHYwc+YpASYKeRGRjDK2+hs1wdme0lJ5kZupgH7DnbLMZI4By5KMQpMaw3UrYJ8ORnwmUHQzWuXSksP1Xpz5mGtYqLVZLIe0rk0BJiqGi0uw/d0lmMNJ0B98A0Giw8vIXsdr+sa/f+Mwn2XnGU5HPei7pr/02d56ucNWeAqtFu61j6w2u2JOn01t9Hn4dcDgcDofD4XA4HI7zwj3hdjgcDofD4XA4HDNTes48KU0WtTyfHOxwfD6iJChAavvc+DxmF35SIMWgVvP4Qkn47Omdse83E40vbZrwWi1hMefRSjVXreS4rBx0xZW9BZ/i4RK3nKjMXBfOZ0rqWbjYz82ljRW7yGu1TFttrZkigCv2l1hvpn3i3WPC41RKaCQaQUbkqSGZKtOaE5UmldYMQtkINhsJy3mfjRHJvwBfsKdIboSUvIvgBVetcvvpHR7e7E/EUwKW8j5bjZS1WoIQsJTz2OyRsUIlOLSQI1Rqorx59dVXc9vxHcC0pVYr5JQin5Nbk+XMZqxp1atj5eDz4T/9zz/g0FNvJtGazTHHbhoHSxF7isFIORisfLTTSIlTPVVQ9NWwIBy0Z1GY9Nlr95S47cwOUtgEQQNsN1MWI499xYDF0B9KD752T5m0RzQCiDyPfQVFKfR4aLNB6Mkh0XsSg/JVtZkS+pJpF6UQgsuWc5zeajC4m53uySboGjw5Pc048qdPxd5LK9XceXyDK/fkpy67oTOWhhJ5J5N6PtVYc7YnoXkxCliMguGyZFm3f1qIPA4UI1JjOF1tUQ49Vgvj69pIzMh/AgwJtaOx506K2e4SKs3zu44CJWgkGimsHFy/aP2ILf9iwWdBG+pxRq2ZMXgIlYSFSOHLHEIIPCn4se/+prm29Nu/8at81wu/mS9771vxZpDNAcgy0ne+g9KP/QSiMD1lfRKzzpJQ+4bXzb1uIQRrv/CL7P+e70YKwVqlRa2VkhmbFL5UCCZLwsawtmMHR0xLDgaYITy4t3QsF4KxgnAvhe/4bmq/9yaIRw/UGFr+E7chEHgeBEpisEnpvRzfrlONMxpJNtJRPVTKoQ3Uk4y95ZBDKkeaGZqJJvSUvQ4lY9usRqI5V29RDjwWcz4rxRBPCU5tNWml9ppBAO1jduOV+6hVKyPXBfCRD72faw4vs7Ez/+xE426Je2XaXtarLXvPUAhRUnDDIw9z22VHZt9gMCzK6q4cK+aePaOV6r765/VI32AH/RVHpaML0ZMebJmUSh0MJNinWpNqTcFXZMaw00o42SMYn6r0y8b1OOVwOYcUuxfCqOtGG1s/PLkrlw8OjhFCsFQIqbXqQ+dvcBDk0a95kf3MwP50fjaAvuVj1L/xdfyfr3xje18lr3vmIZ5+2SJX7CmM/LzD4XA4HA6Hw+FwPJlxgrDD4XA4HA6Hw+GYi+Wvfz0bf/KnMy//jNs/c+kK43A8wVASpIE4e/xpsLMk8l36MjzejsounoRbJ8jBHRJtk1rzvmSrLYkcWegXCwR2evrnH11ACSvibbcy7jxTHRs8lkxJuPOUgPNwOi/2EX8sFW8p4NlXLPHwTsyRxYhaPKMYRddnubhc5ANxsa/QQAlaWUaoFMZoNlsJp8Yk0c3DTjMlHJBSAJ5+qMxiflhEHERJyU0HF3nq/jKfO7HNqZ0mywWf7WbaTUGG3STRxZxHtZmymA/YbiaESk6UdbTR1NOMepKxVovxpeCaPSW0hlNj5OA3fPvr+fAH/xEDPOcLv5hb/uV9sx2MNi94/vP48Ec+jjH91/HVNz2TX/yjvwfa03Zjpxifdxr6UqhYzo0WNjvrbIxMnBxNI9EEnugKPp2kxGlst6VMbazwdGghsqnp1RaH8iGeFLR60kUjT2LGXChCCHKeFYsPLuSY5wrIBf2S2E4zJR8qcsH0X4V7SnJ4Oc9OM2G9upu63ZuMuJofnao4xHm0Ac1E89kHz3LTFXsnLvfxuMmVnj9X3/3mn/xdW6wZBnFESlEOPTYaCYuRj5ISBVxWjmhmGsz41v7gYoSnBGlmyLQh8AReW/Ae9Yl5DtMsyxpj2BmRBD2NyJNkWrNc8NmoJdRjPSTDXWiznvM9DAbfU9RaDcqRTQkNPYXvSYSAzVqM7OnQ3/sPb5trG1mWcXP6AHsfvHOufkP4Ho277iF8xs1zbW+QmQc03XvPeW9jsxYTJ5p6z7npiLnjJGGtDZu1FqEvkcK2U7kxBrDB2PxRYQcYADQSK9+CHTCw1Bbre/dWG5sy3/viuDa3+NFbqX7xM6E+WZAtfOpOfCUIPcFyKUQgWDSG4xuNrlhpjGG9kYyUs5WAQqi4/WyF5bxPK9V8+uQ2ADftL5P3diVTXwpOVhrU4hRfSZZyPjlPtZN5BXedq3P3uRpfe/1e8oGilPNZLgasVVp92/6SZ14zUQ7uHptGgyMH9/LwybNUm3ZQiRQCIcCTEtUe7GHaKdEYO5DJUwKBwLTvOpPMpvdWGgmB138P0IjTbmJ0I26wpxQSBYrVn/951t74xqllBCh89DN9P0sg9ASZFigpiFM9tW3orye2XnTaFyX7U5tHJQz30tv6SmB87yzI+aJbB+9dr6IN3fo/jbSddmyM3d64ewFf2Xu3ONVEvuTAYsSoPltJQTnns9U7OwBw17ndunLkK57ffX38XtnyFO+/m9zGBo3lZeJU8ycfe4T33XWO3/umZ5EP1OPuu7bD4XA4HA6Hw+FwPJY4QdjhcDgcDofD4XDMxZX//ZeoferTtO64c+qy17SnEHU4HLsIYR+kjpkd90mNeEz10vF4Cj43gxzcS30GCa8zFXKgBHvyHsuXL3DrqRrbI8SmJDMYY8bKYOXQ70vlfKy4hAHCU2tGMR/QaCeRPrzV5FA55MSMwusc4aSXlEt5BSixO/N1Pcm4b72OEoKjSzke2W7MnPo4jVQbCoFHqz2t/Urep55k+Eoxj+TpScnTD5VREh7Zao48LkmmqcUZSgrWajaJ8USlyaFSrisIaWOoxAmhp2gkKacrrT4xJs4MW40EPcL5fPoVK8St/jr0ofe9Z+Z96PDhj3yUd9x2hloy+RpdryesFvy5BWEpxMjjI4BmlnK8EnNkIc+UcQZ9KCHwpUFKQTZj3VgIfeQSbDUS9hUjfCltgn7JymWp3h3s4LXF7N4p0H1lZSsBxJkmUoqcnyPR8x2PUe1k6M1xkQs7HXpHvBoUHo0xaEy3jL3b82R7QnUhaKbnd015YZ47Tlb57m/42pH17elf/BK+9IUvg9//jZnWZ9p/2L9/7DKDbY+SgkKoUFKQGYM2pi3uSXKeRIhO+vbwPkppP6+kHLnuS00r1XP3Q3lfsljwCX2F1pp6nIExwxLdDOudtIgBmknGZi3hyEq+HU3dz+Arswjdg7z5d36TX5nzujEIaM4+sGYcqZ58v9LFUzBbgO4QO82UUbu33UipNFNCT+IpST5QeEqyVYupx9nU0+dLUEoSp7bO1/73r7P2u2/qvm+AZHUPtb98F2l5ejnHiZ5SwMPbdbb/+gNQrXL4678K1dwVhQUCfu+PKTzjmXRWsd3M2G7WEdh2pnfV1SQd24cv5n3W24NrzlYnH/DNVsxmwy4bZxm1ni8roZI004yVgs/papNDCxHlfEDOV4SeJMkyO/Co2eDMqRPTDk2Xc+fOsba2xq0bWZ9MfdVynsgbfnypJD19WXsQS1u0rbYySpEmag8SacQp6z37nGrDqe0mxVCx+O/+PWuXfwF8/YQk6717Kbzrn7oieaYNQkDOVywVQ5bb12YzyTi93X+vIMTueV7OBYTKJ2j3cdoYWqnp7u/gDCr+lP5qd0lBMfLGDohIM90nWXfas1kd/psOlgmUotpMiTNNvZWNvK6V2E1Att9XRjZt7RIPfFbRNzhSZNlMd4qdI/bzb/5hfvgH/l/3dWMM+fb5f7zc2zscDofD4XA4HA7H4wEnCDscDofD4XA4HI65ufF97+bk7/0+J9/406MX8BTX3vk5isULm6LW4fh8RQoInCT8uCHnSzJtiEfIFZ6C207vzPww/UJQQnDzgQKbrYzPnKz2vWewD/TVmKfmJ3YuXOq5GDyWOdTbAzJeJc4IlaA1g9zoycfGIrApmzZ5LtWae9Zq3LS/PJfIOQklYF8pohx6NikYw4ntBuuNTnqb4aHN4emeR1EKFb6SCGySopSim8o3yHYzZV8poNrKWG8nxU1Lwe4lTjKbpikVNx1a4tBii088vNknIxZDRfkrX8Ryrf9a0UpRedeHKC0vAbDWaHFughQlgHLoEQ0k9z714MW7hzEG9pZCHtyYfyr1Wbh8KT8yPdgIw33rdpvbjR1yvp1G/oqlAobJ4qYQNtHQaEPOl0g9QpYc3B6wJx9S8LyuRKQ1BGo30bcYeHgCrt9b7pODO+1w7znI2gagMbBRbbFcCMZbRz2MqmvzOpZRoJDSlr9X0DTGcK7e4lxbSN9fCsm0YSnn40ubAmsTFi+80/g/f/zXfT9naE7tNLsStf5/v4k0ZqZ29++//xe6/1YDx1AIOLFTpxD4LIS+ne1ACEq+T8nvLNP/Geu6GzwJvpJWCsMO0Di+0aQUKVZLISCm1rWLzeD+TWOlGOB7u3U00/TUw4tT6k6JDBB5ioOLitnO3Pmxs7MDxSJsbsz+oSxFLK9clO13zvlEXvVa+NM/PK/1T3KfO+msJJrKHEnSHck00ZraXXfA6189cjl/7RyLL3omtauuofDWv51czt62A3tMpIR716o0OpGxxSLH//YDXL2SJ1QKT8q+vi70+1NbDXa2il4mJc5ObPt63jPGcHJ7/L1kM9PsLQSEKiFQitADYzTNVJO2+4lGonn1l3/JhA2O5sUv/CJ+9W8+1PfaZjPhQLH/8aWAkfdHnd0QAoK2XNuIU7brCZ4UfcdHANVWRrWVUXjqjfApO+i59pUvhZPHIQhY/e3/y/4Xv5gH12z/OZgCHXh0B02AbQMPLEQIAdU45d6zFXZaafd7xVYj5chijlLg42Ml2l7peLCd0drQjDOEDbHG88bPjFCdUMd9T9BMdtd9xXKOBzcafcciHyhqcdaVlyNPEXiSyLOifN6HnVbCsa0GhxYiVnJhexCMPQaiRw4GKEVq4uCAbKBCxj0ndP93/tuxnxuFAAJt918K2299+wuu6L437juTw+FwOBwOh8PhcDwZcYKww+FwOBwOh8PhOC8Oftu3cvDbvpVqtcrG//4/ND77ORZf9xr2ffVXPdZFczieEDhJeH4ENgVSCJsQqNrylpBWCIp7BFEpIVASMCTajJTnYFcI8eRwfrEnBXec3eEiBavOhhAshoqVvN8VKzukWqOkGv7IiNXkfUXel6wNrONScymfxc8r+O00U65ayXH/emPqsmrKdM4XA08KNpsxpcDDkwJtbLrb7WenT8N9vmQG1ustioEi04az9WaPHGzfX8r5VFpJ3/TWgyznfTbqCbB7Ia0W/LGCMMC5akzO362vzSnpubArEbbSjM1GTJJpDi3mKUc+C5HXvSaWfuqHKX/8w32fo/1ZmWXw0i9ie3WVk3/yjonbO1gOKQc+YAWXvC+pJ/qiysEdyuFsv4bdaqQjr/9JjJLlPAm3ndmtWwbaSc5W2NxqxixGPlKIrvjrqbbAJgT1HiGtI0eFnkAKMSRL9ZWlJzk09AStAXE/zeDGAwt97TVYYUqPMZCFEGw3UrYbKQcWQyJ/chr1qLZivdZib3n0tOejsYnHvrKi2rlqi8hTVFopSU85T1dsauRWI+HK5TyN80xEHaTTN/WikKzmA+5vi+br7/wol73iecj2Do/bM/GTP83rX/MqTlZavOfe9aHE43vXa9STjM1GymnR5Ohyjkh50xNgsRJ52q6Agt1ruNLMCFRMOW+juR/NbtT3JIEnhurYWARgDI12GyWwicKdTxtj2vs531703lP0fXJM4vfF5MjlV+EdvZL0z/4YktnaErm4hLj6KQBcs1rk7rXqlE9cGIUf+XFq5yMIf/v3XPSy5IJdCbd2331j5eDevob776b2qpdT+Nt3jV2vNvZatnXBDi7YasZD7SLAfet1FiOPI4v5/nVM6JuPLOdA2HuJq1YLCCHa163hY8c22oPfNMVw+N4R4ESlgRKCXKAo+Yorlwvd68FOCWHvj4w2ICDyBHev2fbioY0G0U7M/Rt1vmC1gN++P73nzjvGF3gM9913b1uU3WWjnrCvECKFFWmlGJalR2OoNFKaSUYz0UPXWkfM7eC3LdLVd7+P5WLYFYwn3XRWminGGJaLIUoKPCXpjDE4U2kO3XuXI4+Cb+8Bkszgy37pOOq5B835klODacTYfV8pBAS+ohmn7X7bsFTwMO05WDoLd4ouBeQCdu107bPVSAk8WycXQg8pZPezg22+EoJz1YTI8/iClSJSCqSAZl9Ke/9xqrcylIgp54ORx27wXnCz557UP3l85GemccVqnl997dPsIKI2npxpPJHD4XA4HA6Hw+FwPGlwgrDD4XA4HA6Hw+G4IIrFIsUf/ZHHuhgOxxMSKewDTGN4dCXUxynjptEO2kJbkhmaPRaj7jxjziAdeECdaWj0WBVK2LRWg5UdGrHGU1Y0Biv+9CaIelJw19rO2Cmbz4dZ02yFECzmvCFBsJVpQm9Y8lBKsLcQUGllpEbzlJUiEsFWKwEeZUF4YJrki8v8600yQylUVCaIrHDppyEWAtbqrb6kZ4GVbPeXQjbqSTdF7Uy1ReRJFiL/oiQJt1LDsc06xXC4ToGVM5ZyHklmqI4ZsTDq2qzHGasFH22sjD0oz2ljryNjDEoKin2CbDfvr/v/NNNIaa/RUi4gHxo2qi0e3qhTCL32OTQs/NJPdeXgQfejV97y19Y4+A1fzck//ruhsq8WfPbkd8WjDkmmOfbg/SOPwYUyq+B+IRIi2H5lrR5zqjI6CTLNDLUk4cROs1sfV/K+lYUin6VcMFYAbqWGnD/ZuJmlznpCEA8mJhoz0xV+asuKU4eXI3w1WnprDAhIApvImLVTbu1U6watbZqh1oZMGzJjSDNDqjVZZgekxKkm5yvqiaY+QYzOjCEKFKXAJ041zdROkz5OvF+rt0g1lAJFIRj+FX0j0UgxOBW86crBHR5550cRH3wvl/3SG4f2mUOHKfz9e7uvHSxFvPbGfXzgAZsqqyTcenoHsINKlvM+e0sR0gwnZs5CNCA1F0J/7nXMyqha2JtaWwg84nS4vQs9SSFUhJ6kHmfdFNCdZsJ6dXp/6c0hnE2qz/P0lMVSmWplZ/YNA//lF/8n/uYG6VvePNPyIpdj7/d8N6t7C5zeapBqydMOlMHYchpA9h51YcAINIbNRkKqNXsKIRJBJU6YJUM450tqS8vzpRwDhe/9wbmWn8RSwacRZ/3S6eumD3bt7tnDx6hVqxQmzJrT6N5X2v59ElvNlKM9PysJ8YTRO6p986IGZkHQxlCPs5EzY/RSLHnkPEXOk4AkH7TF+q4x2j9YQUrBwXLEfet1TlVaHChHKAGl0CNJDZkBPcloHkOnTR5krR4jhb2H2leIxsrBnY8qAWd3WmPbr44cnPOl7XPa9fvwcn7k8pPItKERpxQjn+NbdbabCQVfEYy4Tz9QjPoSgH0lSXqOUzOxicKpNiPLbrCp5luNhII2tJKU7Ybt5w4t5Xal5hm4UQrWa9PbOjtbxG5ZhBCYdt+gpG1LR/WJU+tc6LHRbps9uTvA5EL4ha+5sSsHC+x1c6nv6x0Oh8PhcDgcDofjiYYThB0Oh8PhcDgcDofD4XgM6TzTFXq8SPRkoVeE8pVNqmyleurD5lnIDGTtxDZfddYPaY+Q0Ew0OV+SZJp71qojE97Ol7wvSbRhMefNJG2Mer+Zasrh8LJpZthTiNhT2H3NYKcEnsa8qbzTuKQJwufxmYe3mly9kqfSqk9cTnFpTQJj6JODoZPoqjlcDok8xUObtowdgej6fR69R/RCUo5bmaE1JpG2My1zNR4/TXVzROM0KEz2pt6GnmS9nvCBB7Z43mVlji6FYDQYm+j98EaNgi8p5wKqrYRQedTiFIkVjIqRz0I+YLkYErVSKs2EyJPcca7OSz74HmByXevId/65M0PvLUQeK7lgSA4GO237V7zgGRPWfP5k2qYI7sww5f16PaEYqokJzWBlqBv2L5D2tBdSMlYOBntcHtrsT9VuJJqnrBbGJq13GJVqO3o5m2I5TuZqpBol+gfG9CVzzsDxjSZHVnJDYhxYATnXToC1wq+tVw9vTE8T76UzgKQxJep/IfIoRz6RUiSZ5pMntsjawvODm03YDePsCpcPb9lzlPMlr7puLysj0halhEBKtDZICXefq43cvnnRS3n4RS/t/vzUvaX2NoevklLgceVS1B60YOOOlRC84KpV/LZRtV2P5xaEB+vGwcWoKy/Ow2CJx9WHaa8v5H1ygaLSTMkHCmMMQgoiTyHbbWnUFbPNzH3XpPu0Qel3Up3u6LOz1Pef/dXf4oe+8xtmLCEsrawSRREcOIj/Xd9H8jtvgub4ui+CgOiaa1j+968HBPsWcjy0Vh9qD4azWO3Pi6GPwSbdagw5z8NT9H0+70s0IDAYI7qi/p4PfYRzN14zVSfuDin52V+c6RhMY6XoU47sAJfNHlmydt9986/sS78IPnrrRSkX7NaNjnBv+2gI1WghcxRSCF509V4+dXyTtdroWPNy5LEcBd12wgBZZoaS33uTfQWCQCo8KVBCUAp8VvcFNBND6NlpPZRSZNn0fq6vvFIyamzMuZ6y532PnDfucWbn/n5yHzXqvXG3VtOuzTjVHN9ucG3ks1IIufdclVqcsZLvHxixlPNRA21xMlKKNSgJSQalyEMbTZwaPClIM40REKcZcZrhj+j3ZqWY89msJyOPd39p7HdUX8mhJOZMQybHD+r0xwjLuj0Ix67fcOe5avf7znLeJ9uzD3nqxLy71G08PLn7vdrhcDgcDofD4XA4HP24r0sOh8PhcDgcDofD4XA8DvAkhAoCdWkly8crdgpv+5A49ARJZrpy1sUmyUx7/cMPt5NMc7bWojHNlJuDvC/JjN3uVsNKE8v5ycmKh0rDstg8nrSAmUTEUYltF8LjcTrfM9UWRxajyQs9Cr8hu35vmev3lm0qY5tanLHZjMl5kkD1H7x716ro9n+egrvOzZcgOStSCBqJlVpWC/7Q9NsreX+kVOMrQdhT5vV6QjnyiDzFu+7Z4BPHKwB87JEdGknG8a0mnzm+xXvvPkOiNce3WxzfatBKDMZku/svBI04Y6PaotFKyfnKtg0Cbvy//80uMsN+dZY5/OoXd1+7YinPoVIOT45OnoXzSz+cRi60x/TyxdlTCgUM1YlR6EHLx8x3ER5dzHHV8q4c3Eh0d8r1XkJPTJVG7ccMjcRQj63YlvMlvhJ4PRaWMXQlzQ6ZgcCf70J8eL3BWqXZPmdWOEzSjEorpZFomonu9ivJBQz48MYYZErYtny7mVIMrNC93UxYzHncuL9MoCTHNpsc22ry0Gaz+++OHAz2eL/1tjOcrDTJ+RKvPXgFrGDZTOwgmWZiKIQei5HXd90NcmQxR86TI+VgsANxrttT5JHtOifbgxYMhkojptZKacbZeQ1GSHW/ZHu+AxrMwJ/zRQhB6CtWSyH50KMQ+eQDb6jegZUeS7mAoys5imF/27CY8zi4GBG166aVXPvboHEi8IXuQ4eXf+XXsGff/pmX//N/+Kfuv/1v/naK3/v9iDBEhAMjjKRE5HPkn/0sLn/LnyGDdgLnnKdu1D6GSpLzJXlfkgtk97g1EjsTRCs1NFNDnGlu/80fnHqsOkV638d/eb7C9eArKwZfvpqnnAtACKQUVmzt8O9eNf+K49EC7iCz1oX1ekwukCzkfa5YzXN0Nc+R5Tz7FiL2lQMOLkYcXIy4Ys/k/iTwJDfsLxN6klLosVoIum3L/lLI4VJuqJ3IjL0eepEDywghuGq5wJXLeZQQXWm+lWoyDS952Stm3NNdXvDCfzN1mQc26nhj2j6DHZh0PsnnxkBjxACpob61B0/CmVqLZpIRp5os06y0E2zX60lf3533JZFvU8tDTxC12+ecb6+RzqJ7yxF7SxGXr+ZZLYXsLec4vJynGHok2vYHSWbTovv2c877eCkEi1O+g3RIdTvNfo6uee9CRG5EKn6aaU5sNNhppnhScMfZSt9gyI16wpk3zZZ43ovwfVbbx37OCRgcDofD4XA4HA6H40mFSxB2OBwOh8PhcDgcDofjcYIQHSnMPqR/MiQKG2NIjeZkpYkxVlZLs8dmPLMS8NBWne1mymLOo5nokcmp81AKFc1Uk/Q8BI8zw0Y9YbXgszYwzW9H/PKl5JmHSmTGtCUFK40106wt7+zm7Yl2DKF93f4ggHKkummVYB0C3U617FAOPQ6WgyG/YHC5QURnwwPLeVIgPQliVzLpuCWd4u3OXC123+u+3v+Z3VcsN+4v9H+ub52ieywGDVJPwp6Cb5ftKXDnn6FnJaZ5bK5uIugozFARej/Z91PkKZrpcKp0nBnuPFvd3YdLJF+n2pDzFev1BCmgGCh6sybXxyQPL4QeB8o5Eq05tlGnkWp2minGGJ51qMQtJ6wgbICPH6/wzINFIt/jZdfuQ2v49PFNdloJeU/y8HaTQAlCpfCkpJ5lENtk0zjL8KRgIfQQ//SeufdP1WrsKwYsRcHItNlewksUPfcbv/cXgK3zg8m546i0Mp66t4jXLnP3muiNHhXgSYkAEm0wbTtmKeex2Zg8QCBQgmv3lMj0bFKN6F5co5HCSr+9bV1m+hMbAyW64qgU9C0L0Eo0gRJTE9YFEHg2ZT7JDCe3mkPrGsS0tz9vIr2SdEXaQcqRT9zuI7SGWKfcv1En7yu0hoc2xyc595Jqw1/ffpYvvXqZa1YKCCFGpsseKkW0UoNqtz1SCE5W6pyrJRxdzLGYC8gyK15OTnsW1OIMJQTlyCMfKDtdfSNDYNMrQ0/ONUhHDZz7RzYa7CuH5EPFE2XYk5SSPeWQVQPNxBrzucCW/8BiBAZqcTomR3cyo87nPCnC//Tp+3jRM57C2TOnJi73p3//fg5fdnR3u0JQ/Pbv4NC/ey0bf/InbL31L8m2txFhSOH5X8jqd303+ac/bYYSzEem+5Pnx9XHQEn2/tSvD0nXoxDAi9++xdaPPMxi+chc5Tm4GBH6sm8rnWNfznmcq7Ql3+ziDQ4bZJar4BmHFljOB+R8NeJGyJAPZxM7O5QinxdetUqSaYqhTyPJqLUSturJ2EEEBtMdFJFqg+i5aerc8XX6JYmV5nv5X7/7Zzz1YHGucv7N37+T992/MXW505Umq/mwW75OeQS2T1GzVKRe2ru2VU+IfInomVlg1GACAE/B507vdPvN49v97XxvArMQsJIPB9pSM/C3TYuuxSmlyB/agcHk7sE243yc2GLkszVDijDYYzpq3NQoLznwxNgBNQ9u1Hhoo0agJHE2um/JohxGSDB66mnstJ9XvePt3fT7C5how+FwOBwOh8PhcDg+73GCsMPhcDgcDofD4XA4HI8zhLAyoDaf32lImdacqbXYbOwKiHecrXJ4IaIU+EOpZZcSKeDEToPtduruViNFScFq3mdtjCA5jaWcx3YzHXsOOw/X874kH3hUW2mfUHN4IWSnmVIKFb6SrNVarNVa51WWcRQCyTWrs6eaTqMWzyfXSDFfHV+dMfVsXvK+ohFfXCN/MIm3QyPpFzdP7TRJZjI0uThxlCOotDrJ1kHfdOSTJMNcoNDG4CE5WI64f6NuiykExUBy1UqO+9etany6EnP3WoO8r3je5ctWIlFWiLlvo049yTAGjm3UCQKfxUgR9ci6Vy7n2VsIWZ9zvzqHrJXqie1J0LavL0Vq+Y3XXc3zX/xywMpWN+xb4PazO91k20GW8z5ZO41VIOn1aEadj3RQtDF66nW4rxiwrxgxxtHBU2KqcNuLaH8mnpLSG2emz46OPIFoS76ptqrX4GnqlYGB7rJWwJpX9p3Rzu4h03D1SpGHtmpUWv3HdauRkPMlKwWfR7ZtXV8t+JQCj4e369yzVp9rW++7b4P9xZDFaLid8xXd49vZBW0Mews5DpRyaEN36nagKy6PQgjBi65e5ZaHNzlQjPpEQYNNn88F9vqLPEmqDUoyMnW/74MDnNlpsVzwWcgPJ+LPwiVs8iZuVQhGJGDakSiF8Pwep1zIfhRDxVIh4MGHj/P2v/87vvPbv4Xtra3u+1JKvvo1/46f/R+/heeNLp+/fz/7fuRH2PcjP3IBJZmDHqlUSTs7wyg+/sm/4PKN+ZzOj/+Xr+bLfu0zMy27WvQpRn63jvdup1PCYtQjCF9CptWBL75imcV8OGGJ87snDj1F6Nlk7Jyv8KWg1szG3nt1rvPdJPndK3GwBH6PDNvLF3/JS/nwB947U/me+ZwvZL2e8cxDi+xbiMAYTm01bflEWwM1hkZq7xMCb7ivybQh8tttY89bnoJZJgTJEk2cGnr969ZAX2vvVw33rdUn3rcWQ49War83GGMHHtWn3F8224n3vpREPW1PmmU0BvpzuxycR1hyFyUFCzmfzSnfbzozuoza3TgzhJ4kyXT3eGgNO/WEepIR+ZLQUwSeREnBveeqaAOtKSfk4b9+P0e/5kWjxvp16ZRHHjlK7rrrunK4E4QdDofD4XA4HA6HYzxOEHY4HA6Hw+FwOBwOh+NxiidhTt/yCUFmNOuNmHPV0ULG8e0meT/m8EIOX6qRy1xMhIAz1Sbrjf4H5Zk2rNUTFiKPZppNlqMGCD1BpTVewOhQChWVVkY9GT4WO82UvC/bUlrGSluOFcJKa5VWOlYyBDjwja8kOHt66PW0tMCJt86fxOq4ONy3Xuv7eSY5+FFirRazlPNRwiCEoNbKyLdF5/7kZjtN/HajwYFSiJJQjry+FMhi5LEU2V89SiE4W4v57Okqb/7UCb7+5kPcfNkSAH/6qRPkfYHONHefrHD1wQXKoSLvK+rtFM9KK6EwRnybha1mykKUUgz6xUtfCZQQfWL+wtIS25ub572tXv7NC57Pm/68/1ozmCEJFqAQKHwl2GgLO8s5f0iQbCSayBc0k/F1JtWG5XzA6crwYAKbZuizGPlj5WAYLZeO86ulAF/NlzYLVjzVxnS35UvwlMQYQ96XGKyM1clEb6WasC2rPtpoA6uFkEqrX/i1QrNgvScJPjOanK/YmJDgfNP+IoVAcdlCxK2nK9x9zq73C48sjpSDwU4tH3mC5oh+aNS5zMxkwT9QkmcfWeLk1nA98RRobZOKm6nGk6KdZD8abTSb7WnjG4lmOR90ZeULEbYePy1jL4++gVZtZewp29b1q1/5Kr76la/qe3+7HrNRmyT6Pfpl7s3A7iR9e9KKib2DNdZ+86e5fK71wtM/OX2gVM4T7FvMDaXk7s6oYLo/iz6j1If0/AaFTWPSWfg3V62202MvPXGqZxqYlWljk9574mON6e+VsvbggcE26Lff/De8/qtezGc++fGJ27j2+hv54799L0lmum2MlJLAk1TbAzL89qwqne8D4waiDJYN+meMmMbg+VFyd6CXFFCNUxppxp5iyJ72djYa9jtCOfTIhx6mPXvEZQuGRGuqzbRPDo48wZlqjBAg2/dUUgoUtK8L062bQghObTWHZpO5WO1iKWdThMetz7OTkODJ8cn7rVTjK4HRpjvosRqnxKmhmWjA9oNKwvV7y3zuzM70guVyHPubD3Lka17Ufal3AoUOyZVXc8MH3wfY+4dHcUypw+FwOBwOh8PhcDwhcYKww+FwOBwOh8PhcDgcj1M6st3jU5KZn0xrNpoxZ8eIwb3UE809azUOlkMWw2DsVMgXigDW6i3O1saXabuZIgSsFgI26vFMYkUp9FibKOzA+gzJxFaS1COXXy1Yya8Wp/0P7x+5n6Pf8fruj4OJeV5lm6Mvfy7H/tuvwzOfO7UMjgvHk4JUa9ZnrD+PJVLAWn283NihEttrxvf6BcleSuGu4H9FEHJyp8VnTlbYajzEQuRTjjzuXa+z00zxpcDLh4S+Yq2ecLaWcNVyxMmdFsc2Wzz3iCISYvS81mPoDRM8ttXgmlWFJyWeslOkNxPNoB7zkdsfmXt69H2HDrF55iSZMXhK8G9f/038+C/85tgy9abzehIWcz7r9QTT0wxtNBIuW8h3hdjOVO7NxBD5kjTTQ+IQwHYrGSkHFwN7LtZqCSsTUyqt7BV5sk+cNiOOu6cEwpi55GBPWvGpOfCZRO+KaDlf0Ex6J1a3olqc6l2xeM4kYGCuVORueZWVrs+0j6n33ndw8Fd/tq9dXcWe1+2vfg2X/+zPk2rDSi7j8EKILyX5QLKvGLLRSPiClTxLkd+dEv1Lrwy4cV+JnVbKkYWou045Qrqbt/S9qa21Wg1e+WWwvQ1Scuxrv5Yr/sev4EkoRR6NOCMzVuBMUk2rfb6VhINLOZJMc2a7iaA/hDlQAoOkGmeUQq+dXm0oRx7lvNfdTweMOoOmq9L21HbT329HvqTWTMmH3u69kDFk7XM0Sd5+PJBmViJNNe32bLe85e35Y1CDCX6wr+zxbKRm6L6xGWec2WliTP+Z6Av7/7v3wJd/yXwFinLzLT+CfHBpBsN1Ulh791eIyYMHAHKBpBHroeUGa1qqbXKrP5A6H3mSP/379/OP73o7P/Z930aj0T8wKooifvnX/i8v/apXd1/LjD1H+dCjFPldQVjJ2RLth9L058RgaCW7ozLP7DS7bXDkSQSSfM/MBp4U5D17TR5ajAi8/nNojOGhgRT5Zmr49KkKt52pAjbN/0z7O1GoJN/1nMPonhuBtXqT1XzEIJ6S3f5y3LejofM+8LOSgr3lkM1aPLI/VUIipf1QXgkwMMLBBmw/kBmDRHS/s/SSaduXzkwux8Pv+hjhhz/Ivv/24333ffHBy4jf8jbiTJNkhsATJNreW7gEYYfD4XA4HA6Hw+EYjxj1y91LxbOe9Sxzyy23PGrbczgcDofD4XA4HA6H44mONvYB/KX2P0Y9yL5YaGPYbiWc2mmel+wceZIji5cmTbgSJzy81Zh5+UAJSpE3VojsME2+mBUlBRIzcSrhQAkCTxIoiaxVKbzihcDktLquNPkHb4P9+y+4nOeLnbL5Mdt8l4KvuHypcFHXGfmC7aaVNasXIQrcawtWl5pCoNqS32ysFgLWJgj2vTRTzUceHp0gJwVcsZyjmWhO7FgD7PKliONbTTqBgTfXT3HTj3zzzHmYBqh9yZex9mM/B8CeQsDRxfzUa/M51x6murM10zZUEPFdb/kUAM8/usDNBxYAKyt1EnEHRbXtZkw1SZFCUGmlY+WnI4s5Su3U41FtSt6XfTKOMZq712tkAxfVasFnvbarQl+zp4gnJoubg0nFg9sPPUmc6rnbdCX6BdPz4ULa145o7SuB17aJJq1ru5VwfNv2EYde+2V4lW1guH3t7JKQksItt59X2XoJ1OjUxkERbxy+ssnO1VtvpfHvXzd2Obl3L9d84uM8vD66HxTCsFwMKEfBbqKzgWaSUWkmtFLdJzL7yl7nJ3aa3df2FAMWggDYFWEFgv6J63snlG/nuhq7vlR3EmnbCdw9R990hgH0Ssvturm7Ez2rHWAhH1DK7Sa3GmM4sdlA9yTM7i+HhP74nJVKI2FtwsCnjmw5yNHVHFLYNuLkVmNsMmrky3YaJ+xfCIl8RaWZsF619yG+sgnT45ACjq7O078Zzmw3++pZ5xGSaQ+CmOZiamNIMo2Sk9uZj7/+qTz1LjNXxnHswdLH7xx6PRdImvFum+Sr/sR+IeDKpQIg+mzJwWtq++nXzlEaUB++hVJp9KCSjUbMVtOeJ0+K3XrVc6pLocfBco9kbHb/6m0vRU9Ze6+Wzu70VnMlxVA/0F21sXUiyXT3auy9ODrL9L5s6D9OBljO+xRCr7vhczst6nE2JGB3tlCv2+8Y+XwesDNtDCailyLFQs5HCNG+Dvvr/+5yHnGqiTPdbcdHtYueAN+z/YXA1oFA2RTrzi5mxqCNFe3HNa2DfS1A4InuNXt4KcIfMGCbccqp7WGbvZlk/OXtZ9hqply9kuO+nrb36QeKvPDyZbSx9eWhrRqHy/mhdfTWi0OLEYFvtz2hqeu+P/ieMYa1SqsrZHe4WN9jutsWhtvOVIZe78yk0stqwbbJ1TijlWhWCj61OKOR6PbAM0EtznjFdXuRojPLBQQuDsvhcDgcDofD4XA8yRFCfNIY86xR77mvTA6Hw+FwOBwOh8PhcDyOkQICZdOXLuJz2iEuReiSMYZqknJiu9lNujsfmqlNE95XDFnO+d2HwRdKPU3nkoMB4sywXktsGqewU38v5uyvVwSim141SzrwLGTaEPoKKTWtMfJQnBniLAMyDr/yS9tlmUxHErjsW17FI+/86EUpq6OfSivlvvWLJ90/WsFooSfnEoS3GrPJwQChEly2EPHIdnPovcuXcpzaafVJOGcqMZ4SpO26/6n8AW5svzfteHSulrUf+zn2l0KKgSKQaibh5eN3HefpV6wQtyZPZa+Uz0+/4zZOVewx+Ndj26zVEvaXQj5zcodnH15go5FQjTOi9nF93pEySarZakxPaV6MbEp4oASNZDjNsZ5oQk+gtR1EIIRkXzHgZFuwjjw7VftQmrkB0U4urrZSPCn61isF6IHD1Ex0V+i/EHEoM51E7Ud3ZIAQ7RRIYaeoTzLTFcpCz6Yfpj3VvtNGruQDjDHor3nFWDm47zWtqT37BgqfuO2S7Me04+ZJKwY3U03z7/+a5ht/YuLy+uxZ7jx6OYVP7QqXHc/t2Fbd1tMz8MVXLLPYTp4WAvKhx7lKa2iAhzFw17lq32sHyxHxkFE6aj/6heH+ejYoE4/HM7PfL5mBdVWbo4T90a1Np47kpqS/JiP67oOLEbI9cCDNDNkE6bs3FfP0COHw4iPQZnzidiDF1NRwIeCutSoHSiFL0fhZIE5fu8xT71qfuWQGWFuBZayg2TmGcaaHJOw4NUODc+JMD91D+mqgPfrQJ+CFz56tQDc+jShfGHusmknGTnNyW3+wHFFrje5zfdlfl8fJ5oOMkmp7yfmyR86d3hbnfEm9Z7t7SwGFyO9bphB6Q5JpBwPk2mJwR8xNs8FrHCrNjCwzI1NoO0gBK0Vbp5JUs1lvUWuNXl7I3QEgBrrycqLN0DmLPMjGnKrB0+tL+oX+EdVbKTlyQEzkK27YX+TDD20NibGfOVXleZct4knJqUpj7JkJvP7j1mmLpp3JUYnSUghWSyGBl1BrZXPNCDAPAsFq3met/f1oIfLQxt4rFwNFnGnKkUcj1nZGhXYho/Y9TKgked/KxIVA8b77N3nFdfs+b2bZcTgcDofD4XA4HI5LjZvjy+FwOBwOh8PhcDgcjicASg5Mg/w4RhtDI025b6PKw1uNC5KDezlTbXHfRo1Wlo6c7n4eWlnKgxvnL29W44xaK2O1EGAMbDVSNhsJG/XkosnBHepJhhSC/AwVQMWzy5oCkI/izFKjeLw82B/jLl0QOV9xw75y35/9pZDVgt/+E9g/efvvle7rI/7kfRZz/vSNXgQ26gk5X84sJKfaykOzIITg6pUQNWLlSaaHpKBCoCiFXt8vMP/wV/4KmFx3Ou+d++Xf4qqVAstRQKi8sZLaKD7z4Drf/R9/fOz7X/767+QtnzzG4cX+6b/vWavzoQc32WllvO/+DT59ssKD63X2FnyuWo44tdNirZ6wnJ/9fCrZSU8dPtat1MrBoWeXWQx9AiVZyfskmR4pp1VaKUpYTUgKK1AFShAom82q5HB6rcHK40IY6heYiO2PqgBz0GzL0h1GrS3nSyJf2r89iTF2P40ZlmxbqZWDc4Ek9CS+tH1u5EsCKViKAoIzJ8dua4gso3b69Pnv4AQmNdkCez129nOaHNxL7UueB1h5e7uZcOupnT6J3feGr3E1Yj73VMPeYtD9+fp9palp1eMQ2POY82evL536fD7ESTYxCXgczQnxvZEnR0rd9hqw+7VZjyemal9oN30+H5/0mUasiTxBNKHd71SNU5UW1aS/DTLGdO/hXvLD70bPWT0+8+qbuXejQta+phuJHplonAyOcgBGXcGNRBO167cUsGepDP/wgekFec5zKfzhWyYuMsu96lzn9yLcNHUGnMzKYLd5eDkakoPBivKFwLafk+oGtHdjzGWdDFwvg4vZJGD7qu9JCqHH/oWQw0sRK8X+co06XDY92QyVMdViaFuXLefIBxIpbCL1OIY/aQdqlMf084X2ys5U43YiruXIYsTb7z7HIzsNztZidpopx7ZqnKzUuX+jyoObNR7aqrHT2v2eYcT5V4uOLCyEYCEfTD1vF4KBvns8X0kqLds2VOOMODOs1RJqSdZ3TTTbwnIr09STDAFsNW2b20nJtunal6zoDofD4XA4HA6Hw/F5gUsQdjgcDofD4XA4HA6H4wmCku0H25qh1L7HA8YYYq05udOkPmm+6wsgyQz3rddZLQTsyYfd9Lh5SLW+KMmuBlir7cpEhUCRZHrktPAXSiPRrOT9ialq3Hc3MH/SbPnXfoGdN/zk+RfOMZJ0xCVQnyFNcBLF3qTKnmnFR+Zdil1pRffYFt3pw0chIOdJzg0mzk4h582WzNvZyNMOlrjjTK0rfgBDSXoAa/WEvC8phgolBct5n/uBP/iVv+KbfvTVY7dgAPnbf8Tlz3zWRCm4k4g7jh/8T2/kP/zoGwmURBtNNc44MdC+FXw5NE14L3vyPs++rEQj0X3bmqXtenCzxpGFgk0PHpMc2RHQGqlGIpBCcs1KgUcqjbHS4clKk6Wcz3bDdMvUabciX9BMhj8ogJ1WzD1rdQ6VIxajoO99OzAko5lmeFKwnAvItBVOfWWnu48zwwindG46SZBSWGm50U43Brs9JUw7oVJjsNLqLHSOrwDCdgKnFLD+2lcSMGfb+pVfCrdc/BThScmgvtoVu2tf/pL5Vrxt05EzY3hos78uB56kMGLudilGtT5W4N5bDDhYilDSDjY4H2k3zgyptucy367/03pXbWyK8vmEYCajLFN2JbRxRL4auj49aY9Mc0xBpNxtm6cJotO2b68z++/Okp26KoTAkwKtdd/7Qwx8UI85Fh3i1KAUSGmPm4C+ZN7ea+XhrQb7SppACgIlOVVpUk90+57JcOw5Ps/7aDJTKnylCE/96jfRSg13n61ww/4SCDHUNhpjOFkZTqpvZRk5b7guN1M76EAbm15b2L8fPnUntXe/E37ih/oXvvFpU8Xg3jJPI/Rk937BUza9/VLe4/vKJkR7yqbPq3YitGgnxyvZfs+AEgJjTN/120o0vpIMtohCCFbLIcfWGihp5f5WqgmUREi68bXC2HamlRpSrYfatKkzYPT2ncZQCHfP5+A1LMbeIZmhl1NtiDzRTVbeVw5Qkm670xmw0FlDr4A+rsx6zIncaOzeY+0tBlRaDa5ayeFJm7KbpBkLkYcBWklGNe5fz7lazIFihBCC2Ydz7TK65b60g/aUFOR8Sd6XbDYSFiMPY2z9W8oFtFLNQ5uTv5vlfcWJSovPnLQp9Z37KE9yUe4tHA6Hw+FwOBwOh+PzGScIOxwOh8PhcDgcDofD8QRCCAiUlQcuMMTxopLqjNPVFtsXID/Ow1otZquRcGQxR6TUzMmgGs3da9XpC85JzrcJY4cXcjxwAcnEk4gzKwkbrFTUm+4IUH7HX53Xeguf/iQ7F6F858XjRHQ/H9H8sWBwunSYLrnOSzgiKXQaO83ZheJCoPj4IztcuzfPUluAybRhs5ES+ZKz1bhvf3ql+M1GSs6TfOHTLmP9/bdQ29jm8Ne9AplaUd8ICX/wpxRvuGnsOfWUHWhwutIk8hTLuYDQk2TGioiDgr82NrlOYAXvwcEPAthXDDj6X36Qw/d8xpYD+NTL/h23vfKbee6RMrUR560eZ2MlnQ45b1cIHyXAaawEV2mmGKwcW/QV9TSbOlDhgY0a1+wpottF60z13kyGp333pJWylLJpiIXAIzOanVbCTitFIKjGaVd0vHI53030TLXpJqh26mo6MtlzF0+BL62s10pH70eSabye6eMHReecb9Ml6yOk6mkY6AprzSzDv/+euT+PzjhXbyEF7C9GpGPOx7iz5CvRl9CbaUNmrGCt2pdo6EnizKC1wVei/1idPjlXmQFq3/MtFP/P/yPvq756vhR5jFLgRqWjelKw00rpjJ3ZV4jQhr46Va1W+dIv+gJ2zu32PKXlIn/zT3dyZM8SqbbJux251kD3PEa+JEl1V37vXEO+BE9JhLDHalRq7zSaSWaPuxDd1FQDrFdjPCUIvNERlZ6SrBRDTm01e2ReMVbs7U05rTXTqYncSgomRQwnWnPXudH3NUs5jyuXihwbM4BheFv0pfEKIPAEUgiMsfceUgiEsNLo7Wcr3eUOLkQsBH77fqy/vpyptABY7hno1GkXn/NR23+YoU/tYoDYhzv/v19mX/u1wJckWfu6kFZu7T0mo9rdM9UWh8oCXw6fy1aiu+J2h8LLXgEve0X353n722kzaKzm/Xa7aajEKQ9vNbh+X4nOkRj8tLnAm6acL6nFGiXYHQjSqVuda0rYSNo4NeT8XWHWvgdb9YRzlZhy5FEIFVGguuWVQgwJv+Mk+e777QT7TtudDNT1wTqx0JPKmxk4tdkgyQzlULLTGhSEh9m9LoePZeetA4shke91B5l0lm4kup1WO7DmET+OS/AHuPlAmVLocWKnSS3O8AR8wUqOyFcs5TyObTTIB2rsjCSbjYT9xeg81OD+vR46ApfwnjzNDEcX88Sp4VA5R6phf3H38bSYkgCc9xXvu3+jWx+fsprvXq9ODnY4HA6Hw+FwOByO6ThB2OFwOBwOh8PhcDgcjicgUoxPgHo0ybRmvRFzrjb/tNwXSqoND2zUWcn77C1EM0iehjvPXnw5GKw0EChxyeRg6CSsWuHFk8MSRv2pT2PpnW+be73J8vLFKuLcPNb19/OBi+1FVFspq3mftTFiyihSw5BUOIpCoHjPvRvEmcFrX68CW5/3FHz2FHyuXc2xE1ux5ly1xfaA8NNINR+4f5OrV3I8ZXWB42//5+57nhQUfEkJKy8ODhzwlODWU9vdn5dz/SmfQY/000ld7ohxBqjGw7LPode9DG9nq+81ATzr3X/Gs979Z1Sf9ixqv/xbQ58zGFqZ6dtmByXg+n3ltpAHsl12JQWVVkozy9hqJEMDMlJtUEoQt4avLAksFXyyzOApQZKZ9rGHeprhZaNrUqAEqbYSakfCuWfCIItACSI12vTpyFdJRleyUlKQZlbMk8J2bI1Yk/ZYipEnUXL38wabzGi6Pw3TTEanzc4r2JVDj/W5PrHbN7/z7jVu3F9kJRfO9VmA2hixWZtdgTPTpisejxOp5+ITH0cKeMpqse86uXylMLRoM8kmSriZgbPVmO1mwtXLpe7rN1+7QnPHyqLPCkK+oVDi6X6ILwSNlzyXT6UZV113Pbm/ffvQOoWw13XkSzRWOOvIhIneTfT05x/jAFjheqeZkYyoI5vVmH2LEeNE6e163BUPbYLx+GOTD3aF62myfHsL5HxJqs2QPDmNepLRaqfjzpLibJOA26m27e3ZujVKKxQsRh5b7QEKJ7abnBYtSqFitRAMrbuz/l6OvPy53ST8UXS2tF6CR37jd9i3/6buewfLIXsXQnaaKR87tslq3qcQeAjB2L6oFmc8uFnnKcvFof4hnOEYKSnQc5yDSTKxkgJfSU5VGn2p/fetV7vXzKBfPGoAx0imiMmjdiEXSLLMJr13SpMOJkmb3YEBO82UnWbKgYWQqJswLlgq+NxztkreVygx28U4SYIf2ldjaMYZnhKkmWEx73OuEjNrSLmSgkiKbtqwJwVetx82KGNTwcG2OZ3j7UnBZjNmMfKRUuBj22Bt+uuv6NlO3ldIaVO8U63tNZUaQPLUPUWeuqfIZiPh1lPbLEQBh8ohvrIJu+Pk4A6eFISepJmkKOm1ZdkLuyOcKA9fBLJ2vz3KGZdiOO/Zk6I9Y4ChkWQ87UCJjz1iB5a8+OoVoD2ThhOEHQ6Hw+FwOBwOh2MqThB2OBwOh8PhcDgcDofjCUqg6D5ovdAEUT1tjusRy2+3Yk62RZ/HkvV6wlYj5chSjtyYNGEp4HNnKpe0HNMSOy8maTsxMvR2UyPTl34F/OrPzr2utR/9uYtdvLl4PIjuF92yfQKTZDbJcLVgkw0zY4WW2hT5F8zEc5mkGf/wwBYdL+SOszW++OgCyUDjJYTgzrM1CoHi5kMlCoHHqUrMZ05W+oIO711vcPlSru+zCzmP9VpCda2KrwSLOZ+lyEcKK5jev94vtm40EhZyPgWvPZV3qkmN5lSlRS1O2VsMWY4CMmOoxAlSCDsQYLPF/et1vv77vhzZjuAdVYUMULz1FoJv+hpO/eHf9L330GaTkzsxTz9QQLTXG/kKXwqEEGTGEEgr6dnEeAOZoZllHNscnwa6Xk+IPEnOl2z2pIwXI3tsOiznfT59yoo2+4shQX5X6s20FZeVFH1y1iwSzr5SOFOiey6wAxy67aYelBB3aY4RHHOB7AqTxhi2WwmZsYmiK7kAJWwKsRWIBNoYMj3fxT5n19jHct7nGQcWJi4zeM1M3dyFFGgaWnNkJQ/A4Z5ra9TpjHxJ4PUPUgHbNz3tQLkrtmt2k11vuqJM2tKUhODXl/ZwpecTCdEd3OMLReRLsvvuYe3Ga4g+8km8KI9pJxA3E00rNaTCTArUxfMkyQjBuiO4j7tfqrbGt3H1RBMnmsDfvU4MUGsm7DRSkkwTtpN2k0Gpsk3el+wph93UyzTT7DSmz7qgjehKvvMKwq3UsNGM2adC1OQg4u4+aTNCyhxZLsNOq7/8mTFsNVPiEQd5teDbgQbAUt4n/8KbJ8rBsHt9rFSgVs33XR93na1RCn1y7XOyVk+6A1sKviL0JK0RJmKS2fR1NSr2dQTGGFJj0EaTaIFA4MnZxNdxyeEAxUBxqp2svJTz2WzYsrfS3UTkUZ9uJHrsvnXLfB53VnGq+9KjfSUwxuDJ/mZn8NSeqbQ4urKbIlxvpWw2EnwlUQqqSUKmDXlfjUxuHiToua8dldjcTLK+vsyTgnwgSduDXsKe9PFRbVecaXwphlLuBbZPCZTgzFaT1XIIxg5GAcODW3V2milxSfcN+vDlcPq1wfY5i4UAYwxhT7uBMVSaKecqLZt+7sHlyzluOlDC9xW1OOGG/WU+/OBGX7mFgMuXckTKa++nrQuNRLNWtcejFClKkdfe3gXmC1/kvkYwWgzuvi8ET1ktcLYac64ek/MkG42UnK94iqjR+NqXEjUyrmsv3wI+uqfIF3/mjotaTofD4XA4HA6Hw+H4fOU8x9M7HA6Hw+FwOBwOh8PheKwRwj4896X9E0x/7j6WSaJBL9oYqnHCPWvVx4Uc3CEzhgc36pysNtADiXxKwufO7Iz55BOXRqJRQuL1/HZnvGI3THfZ/fsvetmeaDxafvCl2M7FXOdlixHXrJa4cqlAqBS1OGOrkfak61kWIo9i2N/gRL4iP6IRMsZw14kdfuefHkL01M56ojlT60/IM8BtZ2o0Es1T9+YBQS3OKIeK7//CI3zzzQf5gtV8d/nBab4b7SnlM2NopprTlRZ3r1VpZSmpNlQHppz3JJzZadJxvTSGe9ZqVFop2sDpSot71qvc3W7vNhsJcWaQGL78Z78bqbOJglvn9eDMSUrv+Kue7QruOFunnmSEnkRiBeCdZsp6PWGtFtNMMuLMDMlR/gxzaTdTzWbDSt5gxcTeqc5X8j4bPemE0UDkatxOkexs2pMCIWyC8rTtF31/4vu9zDqwJfLESGHR9Lx0tt7kxE6T05UW56oxcabRxnDXuQr3b9TItGa7FdNIpguZvUghIBidhjqOTtt65XJ+2qJzJR8WAsm+hYilvId3KeZUVx61VgZYSb3zZ1wNH+ePpZmVG1Nt/xbAq1/5AtKWJkTwf5f38gV+QF7KoeT/QAhUW+ZufuEzCZW0Wxe7fds0N1Nrm7Ka8yWhJwk9m+Cp24ncnhQoMTwtvZpyTDfrMZu1FhvVFuvVFtv1mK16YmVEYcVOO5uAJB/Y7eZ8SeTbv5eLAVJKBAKMoR5nM10DmTaEirnl4A4nd5oAQ+34hSKFYGVMUrAe2LGlnMdGLWGjkXLZUg4lBJLZ+q/OMoe//98PvXe60uJEe/96qSUZSti+ahSj7nmzMcdXCMFOK+G+9Tr3rNV4ZHv8AI1BJp3f3v5rs5GwnN9tO+9bq9r01DGfj1NNfmJU9vhk9dDrv28ECD3BoNcuhL2GUw2BJ8kMBL4c2iet4dRWk1aSorWmHmcs5Xy2mzH1NOHYZoPj281uQmxnBhQYvgYDJfrS0MPBgjJ8TKUArXW3z0oyK9N36Ei/HZQQNAcS13O+RIhdOb6eaB5eb3B8s85mM+b2s5VuHxqo/jIleldk7/zp9v2e7MrBnde0gYe36tyzXuXOcxWObTbwpKCeZEghKIXB0MApgIXQI+/59jgKgTbDV0+lmXFyq0W9NV8/16EU+exfCFnMe23JfHYSrdmJY05WGlTiuJs0rSQ8uFmjlqakevAerN1GeqL9fdYKzgL48LFtPnmiwuo3fynmFS8mauwOxuqUrHCuyqcPHeEj3/mN57W/DofD4XA4HA6Hw/FkwgnCDofD4XA4HA6Hw+FwPMERwj6AlQJCZf94cvjB+4VgjKGRpjywUePYVoPsUqYYXgBbjZS716vUkrSbfPbZ059/cnCHepJRDHcFmJM//FPAdEm48/7WK155aQrmePSY4zoPlMDrWX7wo5ttaTTRhrO1VjeFb7uZstKWTYuBoplaCah3GnmBnb59kE89tMnbP3uaepxRGGiUbj1V7RN5BIb1esJyzuv7peWhckSmoRh4fNnVq/zAFx7hdTfuRfcYoguRR32ERKoNHN9uslZvsVrw+/Z5IeezVAi6YlQtHpZq0gFRx5M2PXL11INDy46is73l3/gVjrz8uVCt8t77NgHYWwxopZozp47zX77lVfzAV38RP/p1L+O2j/8r64145PpmTa4EWKslrBb8rrgdeZKFyBuautxXo9fZTDRSwFq9xW1ndnhgo46SYqwkfLAcDQmf48gmmHMdsbPLmHV2koURhq2BJNbj2002m7FNhs4096y3B7XMYeRGXju1+B//ZebPdPjIK79tJpl7HjIDx9Yb3cTLi94L/6//zdmdFpXG5KntLYKDSxHLhelCeM6XfOpfPwnAq/MFDiuPYMp56NSj9ZtvwFeCtEfonHYNSCG6yZqttJ063FPfUm0TiLXpbwOnCbT1WFNrZWw3UnYaKRu1pJuA3StX1hNNPdbIdgJ3MzFtwd2u3wC1VkajlXZF5twE2TPVBk/JobaoywwVIclMn3h5sSj4o0empe0UcoBy6LHZSLvp8VJA/htfM5d+KBj9IKsWp9y/Vhv5mXqi2WmmfeJthxM7TdKBwWSdZGdjDInWNJKMzGQ005Sz1d0BcfUko57Mco1AakYPvlvMeRgDhUBx/b4iTztQZm9hN5W2kWpuPb09trky2IEwOV8SeKIroffKt+M+15Gjc74gF1iZfdSnVM/GO1XPpnkLvIHTLoCNasJOM6UU+ZQDj1qc8eCGlakPL0TkfdVNqFbSfqbz744J3amhQtCXGh8ou395f/c6EO3X48zQTO1Al7AtMjcSbQcCSEEj3k2qz/kSgekXiNvbGWwPAKpJyoMDif2jBmeM+kok6JdZO4vEWYYvBVctF7h2T5Hr9pQ4XM5TaWZoY9Da0Io1T9tf5rq9RcAO6jlU3h1wkvPlxOs5TjWzDxfcJfQVucAjUNImH3uSqPPH361n/X8EjTTlvvUqj2w12WwkPLzVpJFmeEpQjVPqScaDG1aw32zGZGQYNFLatrGZmu7xD9v3I889XOY1P/yVLJ6t9B3PweML4P39B7nlR98w9/46HA6Hw+FwOBwOx5OJ0UOoHQ6Hw+FwOBwOh8PhcDwh6TzP92xAHZmZPKVrl3HeiTEkRnNypzlS/ns8og08tFlnIfImSmifD6wWfNZ6UljTl34Fjbf9Obn77h6a8rhD54gkK6vsvOEnH41iPu55tGrJLELUnmJAoCSndpozpUvOKlntKfjsK+RQEk5UGoBgq5H0CaPVOMMYgzZmKK1yvZawmvfRBqpxQjGQbNV3JdZkMH4Q2K7FfOCute7PO/UYol2p+KqVHMe2WhwqBazVEx7YtPt8dCnXTi61MtlyLug7FsbA3kLEvkKElLBWt4m742immmbVljVQgmLokWrDei0h52fU4wwpYGeG1L1UGw5+5D3A7Me+d7mjr3kJl/1/f84j0SIf+sd38cZfeQM669/uz3znawDBd7/hR/i2I1fA7/82JCk87Wnk/tebZtyqJU6t7LaY86g006703Ys/QbjUBvYVQ1bzIYnW3HG2wkLksd3sL/Ni5LEYzp4eHKemm7o4il4Ha5IO2kg0tSQbkifjzCZI9+4HzH7OPGVTbAEKxSI1hqeRH0UnQfKel72OYj3mKSuFGbc4GV+JtvRlUyKZUhb5nd+L/u3/Pdc2Cl/0AgDWqjGZNizk/e51OBrBQt5nozZaluyId7fde0+3vF9fKJObUXI3xiDShM2vezWFN//l7Dtynl62mkEet+Ly+IbZk6ItLWoacf+1dq7SYrUUEHiKnWZCM9F9n5vE4/VWZpy0nGnDJ05WCTzB0w8Uu6+XI48T2032P3j/eSXX5N725zRe+W8Be79bm9JmG2CnmXRF0g5xprl3vcqRt/4+/N5vgzFU2L3GDYLPvPS1rDztBg79/q9xIG7RvOpa1n/5twB4cLPB4QVDOZh8jUy6B+30u1kGRpuRMvCk094R4TsEavZ64quOfGs/EPnDG++IxILd/ejU2XwgSXv6/E45DixFdNqFWmqlUICcp/qE1lTbARitVJNpaGiDrwRJZigEsru9XCBJ24n2DNyTGNqp31l/2Xa3YfD0wCwD7WVCYT8TqNHp9B3OVfsH6hxZzBGp2aZrGXUq0kxTa2b4cngdmTZs1WLiNOvef0kk16wWqAwMXtJTBmlu1lM8JSlGs/fJg2W318uo7fS/prXmgfZ57qUSJzy42f+6wSaan2yP21zKeQRKsb8Ykmr7vicEH35om+f8019SbA9WmdwLtfvdP/4b+JVfm20HHQ6Hw+FwOBwOh+NJiBOEHQ6Hw+FwOBwOh8Ph+DxFCFCAUjOIwiOevqZac6baZKt5flPVPtZsN1OkGJZoP1/wpOhOedzL2d/8I8q/9gssvfNtY+WSxrOey9mf//VLW8AnEo8jQ9iXkiNLeSs3XkBSd+RJ8oEi01bEPFjKd8uw3Uy7AsrwdN2CSCmeuqfITpxyfHt3+va1esJKO40x8hWN1BAqQZppPCWBXUnXGMP77zzXt25tdmXPg+WAWpyx1UjJ+4pS6HUFvaWcYiHy8IRgIeePPT0Gm9y5FAWoPOwvRdzRTpsbpFGrcvst/0qzVmPfkSu4+vqnIYQgSfVEQWgU+37vt+ZavkNHZHnJD/1b/uOLXs2/vOV/jV32lVGO1/3pmzFS7gpo//whGs+8nsuk5JG3/iMUJsunq3mf6/aXAfjwA+tDx3Eh8iiHPqEniSemiwpSrREIrttbpBZnLOUCKq2E9XpCzpccLEVTZNJdOumRD27VObqQH6qDzUT3lbWe6L40yUEGp3y/GPiyXxwrfOpOajdfB4wXhTtlPvaX7+e5YZ5yOF0km/UK96QYkvbHoQSUvvcH2J5HEP7O7+37cbOekGrNSjGcel7DtugH9rhE7XROY2z78Ae//SsAPMXzyc+R4Nzd7p23970+dQaDOZrN3rpXiBTbjYTMmO5ggdCTBD0yXyu1qdrjRMxMG+pj3mylmjjV+EpasbGHVNtUU2MYkvg9OV7EnRUhZutOWllGpk1bhN6VobsfNZ3/iXbZBEv59iOmdkiyEAIMVFopWRPec+8mL7lqEW3s8Rw1mGRWyh96P81X/luC9jGsTxgY0iHVsJK3gxo6x3Hlx76P4q239F3L3URSY8XIm9/z5/CeP++OvCveegvFlz8XjeCRv/xHjgNPWVUEYvx1Puq0CWC7mfGBB7YAK//nfDV6kEv7mEkJWhvi1CCFFWMNVsI3QKudgDsrg/njmYbQE4ievNtPntxGYGcNyAUKXwqEkHgCNArZ7s19JfCkQBtbRpvELNhXCgnbydejBPhmqol8QTOxZUkyQ+RLGrFup01P36HzHQTYSs2QND6K3uaqFCpKwWjhdrBZ6yYhM/z6JKl9u5ESeRKrqFs8qdhbUPRWD3uMJ5d9vRLjSUHoK7uuzkdmHggxG81suN7O+r1rs5ECKeu1mMhXrNdTWmnKQuRx7Z//Dp1iT6Oza7f86Bt4lpOEHQ6Hw+FwOBwOh2MkThB2OBwOh8PhcDgcDofj85jOM14FGDEUwLVLz+taa9YaMedqo6e4fyKhDazVEhZzHo04ozWjYPVEoBR6bI6ZCn7nDT9p04E/+TEO/8yPIJIE4/mc/sEfJ33pVwBMlJweTfJtwcUiev6/+48hQWBgGm3R87/BZUXP8qOkDSGs3BLrtuRgdv8aJXcMfr53ud73Tc9P3fdnON42Xa05fcE2Sgh83wpG2lixywAb9aRPNPMrDRpJRnUgCXyzkbBS8Kk2U+LMUP/0p+DbvwGDQQFH28tlYY7jb347VVVmteCzUU/QZlfQGfR/1ndalCOPa/cXuet0tb1M+/waw8mTWxQLIUlmOBcq9kWK//fWT/KjX/8cBLDVsBLNWj3hxv3lqccu0/ZIHypHnOg5fvff8Vl+57/9GPfffmvf8kEY8ZKv/fd8w398I34QDq5uJALsdPVpa+qyk9ZhjOHn3/cXfMmYZX5+YZkvi6zQPUrOlFpz9NUv5tgf/T3s3TtyHaGy9cCXdgr6K5bzVJoJsTaESnKglOvKctNSUU3Pwc/7XlcMW4p8VvIp2hhygf01s9ZmqnSVaSu2lUKPWGs80S/4jkxenNBYzaMHh55A6/Nr+wqfupPaFz4DWs2RZRRCUPjkHdwwz0qnlCPyJQJmltgFsG8h4vR2k4XP3MX206+duFkB8GWvoPDdPzC0zGI+6Na/cW0hCPaVQx7eaABWFuyUVQorN8bNJhJYlJLzVUNrL/kiVj70r7SSdrq5MBgDGoPRNlFTG4MGfDX7I49WkvHIep1UG5SEz57e6Xvfpmf3C6Cx1gRSjqxD/hTpMPIVSaqH0k7BnuNMa7aaCScrMXev1QiUZDnns1LwuW61OGKNF5djm42RKeO9rOT9bvptL0qKPmGzGHhst1IEsN5IWasm7C+GPGWlyM6sxvIAJ/Ye4X+90yZSrxYDvvkFl8/0ufV6Qt6XlCOP8LVfSXDmJDDiPgJADN9H9CIxHH3NSzj2m3/EVvFG9vbUD200mTFk2oxNpM8HirfftW73Ie+TZIZSaOvN4D2GkrtJvh0yA9lAom6gdgcQhJ5ACIES/Rpwx+02DB/63cEH9m9Pie5PlTijEmc8bX+5OygnF1iZPUk1SWavycNLEbInHXw5H1BpZIwL3PUl9otJTymbiSbfXrcx9j7KtMusTfua7yl7nJmJg0cQ4+vYtH4KIB94VFr2nqnSysiMRonhHmfcIIrBLfhKspj3WZ8gz2bGEHmiu58GgycHxPoZLh0NnNoevlfJ+5J8qPCVJAoUoxRcJe198SwDE853EKkUdO9ba4nmvT2zTRRPP7Ir7M9B9maXIuxwOBwOh8PhcDgc43CCsMPhcDgcDofD4XA4HE8ChLApdLLtFHQeuHfoPHzfbiVzyYlPFLYaKZ4ULOet2Pj5wEwBX898Lsf/7p9HvlWOPJqJnioDXWoa6XzJd5eCyJOcrV56Ib4cXvxfxaXGkCaG+hSBcJLw35FVjn71CyC2yw1K0KrV4OhrXkL9BS/i3H/+5aF11OKMyJM0U43WhvfccZaTW02UgMNLOY5vNgh8SS5UrJ/e4vjJbR48U+HUZoMX3XSAK65Y5XWvuAE/kOR91RWZFyIPPWHXNpsJ/3DXOYqhx8FySM4X7Mn7IOAf3vpm/vtP/oeRn4tbTd75Z7/Hh9/5N/zJP36C2MtNPH4rBZ9GnLFeT1h5yvUUP/2xictPQghBQUqe6nnckfbLNd9ZLPNlUX5iamtHqTr6jV/Fufd9gsCzwpInBcZYoaye2LL+60PrXLe3RKQUueJu/esVf8wUUc8mfwo7RbwxSMBvp8b6UhFnKbU4HRKn2kGyZO0UzEai8dvimTaGnCe5b63KDfuseHam2mJPIRzpDU4qopKSQ+WISpyOTFUHmzKsTSeBUxAo0U22HBTFBMNSXofcv36SO89VWfrZH6Nwy7+ChvjyK2j97p9yuJwfX8gxjNutThLvrGJw5EtWCgGeJ5FtwTHVxkrN//Un4O//dmib2vdR7/0whXJ55Dp3GgnLxQAQ3YEQveXt/KzUbl3tFRy9dgrzt3zbD/EPb/lrmheQiM7mBmlmuO3szsTFrlktTp4tYYBU714Lo7TQSitlKe+jejT0f3pwkzvP1liMFIcWchxdjDhYCtrXn01uH3XefCXwlCQxemTyaWY0D23V2WikfOyR3f18eKvJFx1dmH2n5mTa9T/IRj1h+T9+PaU77+17XQs49Z9+ivTFdhBS5Au2W7ZOfOZke5CIlKSZgbf+Hbzmq+Yu62e/6pvxHrFC97xJxPVEk/3tX1EaIQfPQ7f9/f5v5OF3fYzVKCDWmo1GwlYjGZse26GVaa5ayVFPNIEUbDZSTlZiMm24b73Rt+y1q6WhtOlRaGMQworCrdQwySCNPEFzYmI8nK40WIg8jizkbVqtGRikYRgpubeSDG1MN+F5Ep4a3b5l2rT3YZe8L6kn/a9JYf8kmQZh2G4k+J5EtVOsJYJUS3KB7IrRNp3eIBCInoFm3e9EPUXOjGZ7YBBeK9PkvQtLrC+1Z0XYaaQjBdwkM3i+JO5pyHo3KQUkk26KplBPdPd+cSnvsVgYHiAlxWxysDZ65EDFWYqnpOD2MzUe3Bz+zvnVv/h901cwgADEY/t1xuFwOBwOh8PhcDge1zhB2OFwOBwOh8PhcDgcjicJQtipxzthXklmxa000zy8VePBjcZ5T9f7RCDVho16wtHFiJM7LZIn+L5uNRKW8z5bjYRy6HV1EJsOZ8i0FRy6L+7+hQGqrYw9BZsEOEuSmuPxyYU4d70c/uoXIuLREnFvQnL+nz9I4Tf+Ow99639gNe91RdZGolnO+zRTzYmNOie3rPSRGdiqJzz9sgVElvGmP/1E37qv3F9ko9LiBcsFXnrdXh7cqPP3d63z3MvK5H3JdjOl2trh+n1len0wKeBzZyp84IFNADabKY9s221+yZWL3PaJfxkrB/dS2drg277ii/nf77plpJS7kvept6WnjlSz/ou/TvHlz5267mn8yuIevnLtVN9r31ooT5SDO3QkteDn3sjWj//s2OWaqebTJ7e5eiVPOCZZVUlBzrfpn3FmBWDVTqRUwoqNQkDOF8SZJhyQlx7cqGMQXLmcJ+iJi+x1vxqJJvQEUghaqcbzJIGUZAZuPb3TTTSvtFIOlSNyvkKwKylN65sWo4BCoAikYG3EIJCrVwscKOc4s9XAYNMj/fY+dv4OPYESdh/HSaaN9hubP/XLbPYfaI4sXJxUdgGEvphZDi6GipVi2J52vr2OnoTWws/8Ikd+89dQUlBtpXzykU0qrZS9xYCV3Pj07O1GSqo1e8sRHUl4VFmTnv6jc54M2PJkhmuufzrPDkI+l8QX9DBifUxifocb9pUwRlxAmzj8wXqScdfZKtfvK7XTTq34DLCQ87n9TJXbz1S5+WCJhcjW/dCTlEJF1Ja1e63D1rmM1UIwJFsDnKu1aKaanD8sIJZDf3yxB5qLwURVAXzuzGSxukM0RX7MPv0xrvyJHxy5aWng0K/8LOmv/hwn3vFRwp51GWNY9AX3nN5mz0LE6td9LWOCZUfSUV4X9i1zTaK4/eQOkT/PGiz7fuOXhsp9PnTO32Uvfy73vefjI+8n29WfrWbK2WpCPckw7Kbjdzi2NX47GoOaobTG2O0NirWDdAbxjMNXto1ezUd2+wb0jPeHxwdEz4Wcwpdi/L32iN0alwY8ag26J024lWUcHxjceKAcokRAmu0mmv/mRx/myuUcD2w0kFpTObvNnQ9tcM+JbZSE519/gGc+4wiFQPH0AyWOLubaAyhtHQ492Xd92lRmm16uhvZp9HkTQrCQDyhGPo04ZaOWDPVvjUSPPRbagMmGXj4v5BiJe6YBiIwXlZvp9AImmeHavfmRgrCXzD9gb7IW73A4HA6Hw+FwOBwOJwg7HA6Hw+FwOBwOh8PxJEWgeWSzwV1nq2PTEj+fiDzJ0cUcnlRcveJzptZ8QqcJd3yCxcjjQGn+5MoOy7kIAShlkwEf2W5M/czFxD3QvzAuyvF75H5UPDwV9SAdKWr1HX/J27/iOygGimcfLnXfr7UyUm14z+1n+z5XbaV85pFtAL70i6+mIA2tOKNaj9nYaeIHHm//l/t5xqEyd56tcbgccsvxHZ53ZIHFnAcGtpoJC6GVde/bqPORY1u0xohLm82UN/3XH55599fOnOLT//Rubn7Ry7uvdcTg9XYbUQj6ZTQtBNKY80+hFII9A3Ovf1mYY95swvIH3z1REO7QTDXhGJ8uTk1XxM35EoGhnhgi//9n76zD5DgOvP1WNQ3PshgtGWSZKXbg7JCdOBwnuQs6TBe6MNwFLpfkAt8luUtyuVyYLsyJHTAEzGzZklGsXS3v8ExDfX/0zOzM7szsrCTLsl3v8+jRTmN1dXd1785bvxKUXTVPUioGAbYhwmHuCYdhz5Q97pnIs7E/3iQJN9KYbFl0A4SQ1WTI2RTxgutzz0S+vs6JS0MxvFWC7VwsaTAYj7QUhCcLFcqeT6RBkq6JrQKI2hLfDyh0EOyUUuzLtG8fPRUgF30G5xOxJcVKd89kKSAVtdqKXjUKZY9k1CLhmKztixE1JfmST9Q2qqmarcmXA1wvwDLnn9PaOo1yW6DAMsIOSCU3wDElQsALYglump7gt6U8z4omMLo10BqP9ewTKfzqaqKmaJLolVLkKopv3zyMAk5bkcA2ZHMhmyLRFY5lUPYC+mMWy5Oz6eFDcZvRFmnrOyYLrO2NAzAYt2ubqXPrcJbHresBwvTpqCXZM9PcpkoBfTEbSZhqOvcc1+rRndOuPXpND8cMxNtKeyIQJGrtk2CeIN3NvdMNwZ776nJwq6LUppm+YsVTzmLvD/5cn5eUsGN/jsvuGOXzn3vJotrNWrnH3vpe+mMWo5kSliF44nFDAKQjBoWKT8IxkULgK0XJDSh786/rZl374Khtx73tZth88rz5Ecvg9pE8O6cPfFQO0eVJ8xWYovNZbnXNNWIbocwrUYfkepkp+tjVziXdpMJbRutU4vnrKfZkww6NKcckbocK9ZreKDunZtvnlGM1tRO+UlU5uIDpekyOZvn1NTvq8w0pOe3ElYzmXci7bF6SwJTz271W0u6uifnPhZgtcf0AQ0oiliQIwDQEUoIhQhHbNiWpqIHrhZKxH6iq+Kzq7cjc/R2Kc1OjnbsddNnTJVtuLQLHbKPtqBYxS2IaEqUU+Urr9QMpkcHiLWjPOVR3t0aj0Wg0Go1Go9E8/NCCsEaj0Wg0Go1Go9FoNI9QpBQ4UrKuN0bFD4ekz1U8cm2+8H0osyTp0B+x67KAFIKl8Qhpx2LndOGQpD4ebvpjYfpvf6xDsmCXKMDzQ6EiblXIuw+/a+BIQB2hOvSq17y462VrcsrmX3yDLc+8mL2ZCitSoTAXcwy27s2wpj/Gyl6FUjCSKTGQsNk2kuOYpQn64zauF3DXzmkUEhIxyoZg07Ik1w9nMQzJRK6Mr+DqXTOkIyZTRY+1vRF2VJPmBuIWJyxLsnU031IwuW7LvYzu27WoOvjmf3yUx1/wNKQUlBrE4OYjn2X3j/7ImoueUJfvDoS56z0/lmy5XLfrd6JTYnqj4Fl0AwwZpgUX3fbrGLV4TMBocGL3ZUvhsPRdCqDJiEXBbS+nbx3LsmkoieeDYwpKCwi8I7nWMt5ItoxtCDb2z6/jiq/AV0QsSVNM9RyEEKQjFmMtBFKAraM5jh9KYoiawBreAwsFcNaSlcN9QKGDxGfMVjtL0xGEEPMSp/1ANQ0P3xMziUdmvwZY0xcHpdheLlB0A0wZvg9UPIUhwTIkScckETUpln2sBVJlpwvN9WFKiSHD1H4/UCgUj37Gc3nnz37It/M5LozED0gQFsBxTz+bictvIGJIpooublWou2FvQ0KugqRjMF10WyZBS8CQoYDnB83C39JkhFzFpzDnGVj0fCaKZQSCmVLYNuyeLtUTUvvmPIfNFsL2UMKhp0MScG/MZrrkkSn7JGyDl5yyHFMKLCM8N+3wA0WujWhXo1HSFFf8geSt15O58Lmw4ZiO6zWy9lUvDNdfYDkBmApWfedzGC99G+OZEsMTeZ5x6nJWv+xZi5Z0BWCedBLWsy5iRRCwojfC2oE4y/pCsVspgSUlMctkb0OKrCmhJ2oxVfTCNm73fYvYa/esesfr2H3JNUDYLgbVNN+rd2VaPEcWx2JuE7VAdHbj7FDcFfV1DBkmlgvAp32S72Kp+IqIKQnUbLJ47U1IEp4jCNs1KSV+ECyYAK6AlckII/kyw9nmZ0dv1ML4x1cRu/0mykB97pOeTOmqq3lcPsvjqpNmzBiFo5/GZctOAeAlTz2e0dLsfXSwI2t4vsL1wfXDeu22Ph1T1jsJ1NapeEGY5E9YZ4FSCCHD9zEBueERShc8HvyGdiAag99fSTyeaLuvdpeXrLY7czsrNBIoxUSh9bNwuuiFHZKqInTMMpgouPRETEpeQKY0m6J94bH9bBvNc/9kqf6GfNsTnsupf/hh2323Y9Nlf1r0OhqNRqPRaDQajUbzSEELwhqNRqPRaDQajUaj0TxCkUKwuj9KoBTjWZeJvEt/1EEpha8UlSCg6Prkyt6C8smRiiUFa3qjOMb8P4EIIYhZJkcPJNiXKZEpey228OCztjdK2rGrnxq/rBesTIU/eYfIcBaEKZiPNA7AVTtiOBRFlypY9HZOu/T7bHnmxdw9XmBZ0mai4HLdrhmuv3uc4hy5ruz6PO74JeTdAOX7XL9zmtPWpCmWffIVn2TE4LY9GZYPJbFFgCkFG/qjjOYqTFWHY6/JOoaAc9f1sCIZZUnc5jd3jc8r261//Omi62B41w4qXkChTZp6MNdaSiTY+ZXvsebVL2wZUtoNc/cUXSAFth0tZa4br2X1+9/cVKZ6Lu873kf8hS8BWqcR+gG00toilmTmqr/hvfWN5CsVsGz4wleQGzfN7qPik6m49NTbrM7ErTaxxlVcX3HrcIbeiMmSZARDtJdVS77PVHG25I4hSEZMIBThih2S8h1TLHj+lFJNYlMr7hjNNn0+aVkaGahQqG7cFmHdu75CClE/f40urmUITCnqCb9RS6IAv+FcN8rBuVyOHaecCqVmSTr1xS8gn/70efunuk2YHdK+lr5acitkSh5L0w6NV3ar62Xu46fsBk3XdtSS9HzqP3jm739HXEreOz3O/+sdnCc2L0Rt333nnc6uS67FNgQ7Z8p4AazrizIQMxnJVjCkYDzvIkXYmWA833w198VtxquS97xOGwo2DSXYly2zr0E2DVQomQN1uVkBa3oj3DtRZCzvMl3yGIhZeEHr62QkW8aSgpRj4825FpUKyJe9UHLPlrlo8xIMIVAK5EKZoSIUoh1Tzsqwc5BX/oGVH/tA0zXe+7tfAOBbNnu+/ztIJNreAyqXW7TYu/KXPyF4w7sYiJkcvyyBIQXW+P5FbCGk5/Wvp+ef3sG9941z7b0T3LI7lMGffMISyl5A0fM5fihJoMJREIpe+PzxAhjPu0QtSTRiUr737kXveyEEIFGkI2a1rcqxJxNeJ3Ol8QPfQ3fYpsQPFIYhWiYFN95ugVJ4jfKn3yjwgucHOKaoXkvioN4xy35r6derdsaQgnq7FrMlqPC+LHsKx5SoaqJuxArvhKglyVR80hGLdMRiNFcmX/Hp+/j7SV75x5ZlUH/4Pc0tGaS9Au+584e88e5f8uEXfgrPsZsas7vGw0T8A0VKQtuaxb2jt3oN8BX1xH7TkHg+eEFYf/lTj2u9oWIBHnsGedsmcc2tWEato0Aoh0uh8IKAUsVDSoEU4fNEEC5nm4Kg2gGjVekDFbQ9Li9QpGMWkwUXRfhMiVqS6YZ20THDjiiFisfqnghnv/rpmNlM03aUUl09J2pjE/Su37DgshqNRqPRaDQajUbzSEULwhqNRqPRaDQajUaj0TzCkUIwmLTIlT3KXvhlrCkEppTETLNZGvZDGSNb9toODXuk0BezWBKPLJhkaQjJilSUHtdl10EMBf1AYcp2csahT6NVwOqeGPeM5xdc9pDu9MHmSCjDQ4i5utqV26cBsH1/nhwMEHNMjEyWF7/vhRiVMv8AeIbFh174KdaeuI6tw1lOW51mbDJPOuEwmLAZHpkhFneIWZKCG7AvU2YoYTGac/EDhZBwVF+sZfnK+UzL6Z1Qqr0cDKGcszThMFmszCYLrjqKsT/dgPeKF7Ns57ZFpQkrpdhaaU7fmwl8YPFS2aV3T3L2mh4StqTsBSz/+6diTU9Au/J8+mPkP/cp4tfehmlAq8BwLwiTH0vVOin88zvJ/+bXzQv5RXjli0kC8Qufydjb/pmi57N3pkRswMBuMTz7XGyjczptjbzrL1i3bhDQEzWRQjBVcCn7inJVDnUM2VHYK3s1xag1gVJkKy7lDgnDrbhjZIZjh1IdkxiLblBPa5RCELVE/XiKrsKUVSksCIerr5Ere6SioYi95ZhjoVBouf3hN7yR4Te8kbVb7yQRj5Mtu6gglKIrXoCvQumu7AX15FsBlL2AkZkyy3ujHY5QUXFnRT9TinnJmzX52broeTzxxz/iXCfKXt9jmWEuOkm4trSbyXK/Z+IpmCm6rOqJkLANNvRHSUVMJgsugQoFUduYLZNjzCYAt9y+CB3B3ohNb8TinoncvOOZzpVImYKMp7h3osiylMNwpszN+3JceEw/MUss2OHIDSBqy7rIWQkU4/kKAoFlSBL24r62yZZ9smWfvqqU18jgW19FbNvt4fHNWU8BhlthzUVPYPIr38E+ZlNLkX7oNc9eVHka91O7pqL//uGWZViIle97L0opHCnYNjwr4P/17nFecPpKbBkKk1LC0YNxto5mm85Z0Q3Ca/CMxzKwyH13y0TB4y87ppumHWB/j4PaRi0N3ZQCyxQEAfhBgBdAsRIQMQVesLCw6gUQMQTlIGwXax0JZPX+qIm6oir31prOue8GQigKlc77amwzFM1Ju80dXxSWIUjHHdIN3u5GL+CWl7yM6F+vrJdhLp2mJb0SH//Bu/juGT8BY/aZVRux4ECIWIJyQwK/66v6u8zBUqgEYQI0kGsnBzdSqZA7/Xj6b91KyQ2Y1Wmh6Ppkis0vAKaEW0ea36GkgIhpYJsCxwg7I2QXbONmu1/MPa8ACdtgPF8h/sPvsOZr/1mf3niuunk1ry2z+ubrulhao9FoNBqNRqPRaB65dPcXWI1Go9FoNBqNRqPRaDQPa4QQ9Mbby1OiJgxboTC8tifOpsEkxwzEWdcXZUnSIW4vLIMdDoSAdb1RlnYhB9eQQpC0bY4ZSBBbINHy4YwUMJYrL7zgw42HcILwg0EraSNqCK6/f3L+jFyO9//r83nOO56LWSnXUygt3+Xfvv1WXvXOZxLbdQ8790xyxro+VvRFyXuwY88019y4i6N7HS48po/zN/bSGw3bqJ/dOc5ozmV/rkLcmv/nzVjv0KKPSXaQWY8bSrAqHau3c/0xi6RjYkjB5fdPcem7P8fk4PK2ddOON02NNn3+z8zMospc03x8BX/dMc1l902x9BXP6ywH13Bd8mefguyQyOsFCgHkn30haq4cPAf5m1+w5LUv4qRlaY4dSjCcKS045D2E6ahWFxZcxVfsy5YIOiScJywDz1fV1MJmyn7QVu51zO4agD0zixfGPAXbJxfucFGTKCu+qguNXj19Ekpu0CRySyAZCe+HLUdtaCsHN7LjuE1MFir1EQPKnsJX1JM5V6QdeuJWXfyzDYFtwni2zHi2xHi2xGRu7pDygqFUKCkHinkybSP2+z4CT30appSsNK2un8+tWPf8J7I/WyHtGAwlbKKmQW/UpC9mYVbTMOv7rcYy24ZAStEka7cqQcWbzQQ/bjA5b34QwOV37CddvW7yZY9ILfpZhPU5FyGgP2YRMWfbmYoXCpsAtpQ8en0/T920lItPWzFn5QUqo4HJgktfzMIywpWSX/hUWzm4Nq02ve/VL8b1Q8l+IG7REzVJRQx6oiZ2Jtd9IVqx5RYGLvvtAa2a374dCM/jix+9mqedtpKnnbaSzSt7iJomhgyTtQ0JKMFxgymG4i0SzBMJ4ND2B6pta64cDCxKfu+LWRzVH2XTYIxlCZulCaua5NrdNiyDemcOCNvuYiWg7IVysG0IorZESkE3r7iOKeeJukU3wFdh+1SoflYqFI9r82vT658rqt62tSJqyeY2Q4XJtbYpWo7sEGlReNuUxP565aITrmsIwCoXOfPH/z1v3nC2jCUhagmiliRiSSKmJGpJjDk7kyI8Himg5M7LJqfghqnMtgw7B5gSLBnWdeO2Sm5A/hUvJH/qcbP/TttEftud9WUMKcg9/uzuDzIImHrT67tbtkUlBgoKrs900WN/rky+4jWl9bfCnltBDZhShGHNV1/JQFUObnX+Frr+a3Xc8+Y3snTp0o7LajQajUaj0Wg0Gs0jHS0IazQajUaj0Wg0Go1GowEg4RjzvvDuRCgNG8RMi4EjRBpOOkZV8rUWPXw5gCkla3piLE85D0DpjnymSm7TEMCaRw6LlaY8q1nAKhYq81MJczn+86uvr4sf7f599McfZp1T4OTlKfqiFqV8ie37ZhCWwfaMS77iU/EVEw3JmL/cNsoPbh8h3yKRb9MTnrPIo4HjTjq17bz7J/IYUlCo+EwVPSYKLtmyx1U7Z+qJgL/88Ndxq39qXaguFXC3V2GucrfVdykp1ZVYW+Oyl7y9/nPFVzj7dgFdilLlEvl8tu1sL1CU/ve/Yef93RXmvruY+fpX2DaaI1fxCbo4DiEEJy5NcfxQihWpSPO1IcJ/svovW/bYNVNg21iGrdV/28YybBvLsu3O+5h+8d+Tev6F9L//LS33ZbZ5JpQ9RdTu/GfyI60PwfLeCEIIRr70JajMlXZbo4Ddxx097/oShPJatuKTLXp18c+QgmwpIFvyyJZ8siWfsjc/btpZRKca5yP/jn3DHVQGBuplOhBhUwLpqEm+EtAXtbhrPE++4jNZcBnNVeiJzHZ4qp07Y44cXNt/xJJELEHECmX1iB1+ljJcOWZJHFPU/9VCry+rSsKZss/SpF3fV8XzWZWOcOxAgnTEZHnK4biBJEsTUeyGhFI/COV+Q4TiYzpq4QeKmWo75wUBM+UKLKI9gFASFkqRsA16f/XjpjpoRz1N9aLzmS56KAXTRY9MKZQCg4OMw139jtd2VY6WTE8znCkSAHszFYZz4b91DQnyUUtS8WrJuIqliQibhpKsry7jGIKUY+D2H/oMYV+2bjsW8wq6tjfC2h6H5WmHSsXjpnvHF1zHkNV/Inx37XSZVPxQGFYKlOpcsKglm2Tjg8UyRL2ctXJLEcqxc98Zim5AxVNUvDBxN9og20sBqchssna4OcWWU087JOU85q+zAvvLT1vOm85ezYqUgxtA0Q3F6JIbUPJqsnQ1RRmImBIpBEU3oFM4c9lTCCkpVUJx2w3CpPag2lGj8IoXhqnAt9zcvKJS8MLnhrJwLhe2mdPTizq+4IrLFrV8J2ZKbkfxGyBf8RnOVBjLu3hBKELHbYOIKUk4BlNFl9UffhewuJEXPKWoKEUpCK/R1V/7Khvf++6DORyNRqPRaDQajUajeUSwuLGqNBqNRqPRaDQajUaj0TxssQxJzDbIlluMN98lQghMYVTFYRiIOiil8FVAxQ8oeAHZskehcuD7aMfKdISUfWBicCNSCHojDnHLZMd0oePQ8IeDRbpBB4wpBWO5Ax9S+UAR4vAd46HmpGUp7h7LtRySvRVlL0yQE3W1ZfbAU45FpuwihFigR3+Yjrl7psRkTeaDqvgTbnFDf5TBaiK4QDA/yw6CQPHXXRlUoIit2sjg7nu6O+gq3/2379d/NgXYElbFTHYXPASKVMTkXz/3+moZOh1NKOm95BNvYN+Trmdfpkx/T5Rnn388xXKFtCXqQuNEPhTneiJmR5E9kuxhYN2xjG/f1vXxvPo9H2k7r+wrbh2ZId4gQiqlOGV5kjv25+tl+e4Xf8dz334RyWIWxfzjbhxu+8ov/gH5otMJvOYUvg9MT/Dp3gGUUh3bsppYufvsJ9enPe1fXwct9ttpG/nHnkP6ulvbLuN98XNdbq3KZz/D5pe+EqrSmiUFtLrHGwrpV9vYnqjF3kxDG6Sa/gMgapnkG4TY+Pe/Rv83v9x0zNb4fhIXnIUC9n7yi8iTT8cNFMZBSo4DMYsliUi9PCXP5/7JhZN7F3okGZK2MrUhm+uu4gVISfVYFOMf+3h3hSescqkUrgqwxXypt+wFeNWUZdMQ84aEB4i06PRz274Zyl7AUNzBNmZbr1rbbkiBX7XmLt8+xR378/CR7wJw8RvOP2D5eqbkc9K6BKYU3DEKeTdgIGYxU/KYLLqkIyYzJa9aJp+iG9AbtZqSL71AUfF8hBDEHYOYJcmUfFwfbh/JtNxv7XxsWp7EsQyOSlksSzk8ZWMf90wWkJZJygmF4ZWpWMtt1HB9hSmhJ2YBgkLFpeh5bJ8q1peRQpCwTUxZe3aErctovoxCtZS2FZC76Ub6WZyUa05M1OulkdzpZ9J31dWL2FJIoBQT9+9hzSLL0UjkpJO56p4xpID1vRFWpcMOXIMJC1MIFDRdq7XHsUAQNU3W9UaZLLpkyh7GT3+P/XentmyfD5Rvf+DrLacvKiFbhSmtZddn09IEgR/gRJsldyFASlF9p1bcNZ6jXE273tAfwzEW/qqv6AYLJgh3ElxRteuvexRh2b0glHxrQe5KgRCtt2VKQb4SNAnCgYJ90yUsU5COWCQiJjNFF8bGFlWeVgjA8D0imUlE/wCS2fcpKQWo6jvWnPVq150U8++ZVgwkwt9R8mWPQqXa1kowDcnEs54B9921cGEfdwbTb3vHoo6vhhQLnF+gmzvDCyBhS3IdfpfLlgNWfOBNrLjnVlDgOhG+/6/fYXBJL5uXxIlPji069VkIQaAUb5scY5vncs/Nt5E6/vjqtbSIDWk0Go1Go9FoNBrNIxAtCGs0Go1Go9FoNBqNRqOpc7ACVSuapGErlIaDujSsKLge2bLXUkbqBseUrOmJYslDm1ZsGwYb+hKM5UuMFzoPpftQRwrwVED5QZahH2rcOtxaIGvH7FDa8+tZOaoq+3Q+BzHL4JbhHLtnym2XGUrYXUn4+bKPAn7z3v/i4jec35U0VS9hdbh2AE9BUPHB9xiMGMQkHLX95q7lj5pyNPCEM3jMnHUyiV5+9en/ww1gdY9DwjEZzS6cmPrEt32KH7zlmSi1cLty7ClncuyJpyFQZDp0kMi7fjgcuSEIq1eRKTeLyj/5zI9ZdfXvefy3PzNvfQXcsP40fvH8d7IhgHf89Db+/JOvc913/h+BH27nz5USn89M8+ZUz4KS8Te/eGnTvP7h7Qse61wMr4IpRUu5KZ+bm3HcHblcnngigeuregeLbsQkU7RX45e8/h+IbA+TjOOEx1+JJXAKYRnbXWcr3/UGMhe/hqm/f2XH55vfRdu3ujdG2VWzaauO1XH5Gu3EJccMh1l3fVUXaOeyZ6bIZIuh3CWtz1k3uH//XOwf/jzcjgjFYAg7Dbh1uZIwVVk1y5eOOf8cre2L8dftk4zlKyxLOfQ6drPc3lC3T1jfz4lLk3z/1pEDKnutbAp41OpUmL5rSo7qi9bTvTMlHzdQpCMmK5JWU/2vSkdZlY6Gx1uV/iaKFfZlSgjgmIEEiYi5cK8G4K7hLH09MUaLHp4fMJ6rUPQCTlgaSsuBUl3IeKFstz9TZkkaJvKVhudEyK7pYps1Q5LO/HcfxzJY8oG3LbzzBmr1GjMl+bJHrCpnFtyA2Ce/BI85uWuxtnYEK5/+OFYeUEb0LIYUpKMWP7h1hOOG4iyJm4hqWqspZ7cdtQyCQLF9utBUiJLn1+s04Rjw5+tRjzuj6bgPBAUEQrJu0zqGMyVKXvNxtmtuTlme5KjeKFtGcygFy1MR1vVG2Jsp8YSNg0Rtk2IQprRKGSZS75gu1GXgVphG525FNSKWpNThXds2BJUOHZ4O5EwaAkrVx2rj/SDFrPDZiCDsGOEF1JN1AVwvTO2teIqxXIWxXHfJ6Yth7NpbuH/tCZw0FCPqzP/qNG6FCbhCQMIxSTkWSkHZ7+73F8cysE2DRMQkCBReoNg/U2Zi977u5OAq/n98uutlG0nddBWZU87hUORD+x169q185uMwys3vqE65yMXvei4K2PqJL7HyQ29vvfICKBRnOBG2eBW+9YTH848j+w9oOxqNRqPRaDQajUbzSEMLwhqNRqPRaDQajUaj0WjqRG3JAi7KIUEKgRQGloS4ZTIYA6UCPAUV36dQ8Zkpe3VxqR1DCZv+qI3sIJYdbDmH4hFSEYsdU4WuZJ9DzeEIxSq4Hvd1kYT5cOWhFDwmBB3l4I390Y6CTyOyIdnz0pe/l/O//vGOAlhNDv7WFy9lWdImbhsU3IDRTInfX7Odkekijz9lJbGIzbP+71OLO64WPysglZviRa87n5mBpdz+hR9y5/48KcfgqP4ow5kyhTmykwBW9UR41KpT2PS1n/KhVz2XwG8v/W7cfCof/upPyZY9bENUU/Ha11/CMfADRd4NuHei0DL9evfZT+abDcm+5PMkelOUixWuuXcCii437phCClhx9nN5+zNfwllHDZB2DExDMJ532XvF71n+iX9uWYbCphO469/+m2V5F88PMKRgJFtZfBofYR1PFsv1xNMmPvHhRWwtRAHiv/8L3vGepumOKRfsBOIFKhTUGgTJ3o+8m9RVVzSVub7NBeTg2vTUN/6Hqcc+HrN3ExFLUHJbCPrM1kfLbbVM9lb8yyufy9Yb5yernn7eBbz7P74WLtWwUVMKfBUghAjlaQGyw+Or6DZfu8te8VzsfXuY5iDare331pM5A6Xq4qEfKCJWmFLregFSgDvnoTeeLbOqv/krhZ6YzeM3DnLZPWMMZ8oYaUG61fVEKPz1R22evWmIn905CtC1dNqIIEz43DlVZnk6Qm/U5C87ZpqWqQmuSoWSYipiotR8Ub03YlLxwwTf6bJLIBSerxiIzwrg4/lZSbtWVl9BqVBheV+Mu/bMEE9HOXdtiqgluXUkLEt/1KIvbhMzDYIW+25k/0yZ+ybzC773zKXVJstugKi0f060QwAbBxLcOpLBq96vEVMyXfLoS8WxM/mutwNgeZWD1IND1vfFAdg6mmcyYbNpKMZItlRPMHUMyYb+BEopliUi3DXeunODLSWRRAJu2kr+zBPAa59E347a8QTAH771J4Yni6zuieD6AUopIpbBTMnDbGEIJxzJyrRNX8zktOUJbtufQwjF8ctSHL88Ra3mnn3CEjw34PL7JwgCmC55ZCs+Q3ELL1AMxCwqVSl1MGZhS0krR9UQYDdI/UU3wJBQ8QOkEPXzlL/oGbBnN3nbgte/ieQLX1o/iYXL/oj67jfBkFRe+0bsU86cVxedaNf3wjZl0wgdUUuiVFi2WpvUeC9ETIm/yHtjsRRjSV7+mDUt5WAIOwnlq21y2HGwiKA6gkmbNq8RKUR9dAApBVIFYUePpz/xEB5Fe4JyieW9EfZMHfxoIUabni+rLzirfl21a9c3vef1BywpO0LyuEiUL+RmuLKQ4x8JrzEDnSKs0Wg0Go1Go9FoNJ3QgrBGo9FoNBqNRqPRaDSaOnHHqA8LfrgRQmIJsKQkblkMxkN5yVMBFT/81/jdb8wysKXRnFT4gJQrHKb6mP4Ee3MlMqXFCyVHMlKESXWPZI6M3OTuruPKAkl1xwzGyHeRHgyhPFRbcviMc/llPMnT/+t9bZcPEHzri5eEyzek+EZKFVIxi5HpIpfdvIfnP+HoRcuqNdqJwunxEU587XO492PfJVP2yZSLrO2LYgjYn62wIu0wGLOqw6eHax53ypl89fItfP+/PsFlP/8+XmW2zMvWrOfFb3k/j33yU0k6s7JVpuTRF7OYKbotxSbHlIznXSwp2DQU58SlAiHg2t1ZZtq1DfE4ZT8gGW1OnA0U7JkqsmeqyCkre6hYoYgH4J37ZHadW5WM8/nw39BQfV2j7DOcCQXAFSmHo/qj9bpabL2PFyr0Ru35gtnOnYvcUkh521ZiVQmqRruE3LkMxh32ZkJ5qSYHtzqexR7jqle/CHH1LZSqCcDFz38G/xv/O3/BFSuJ/+oPLbfhBqqeCnr/jp089ezj2+7vhssv4XknL+ebV91L1EqwLxt2MCl5ftsk0P6YxUSbtPr497/GwDe/XP98UE89MStrRyyJFIrKXy4n/+Y3zFtU/vdXiZ55DgCmIfD8gMlcmd54Y0qwIGabrO+Pcf9Egf3ZMinbmvdsFoT3jxCwrjfKOWt6DuYoIFAMxm3+eO8U63ojGA0dHgB2TJVY0xPBCwI2L0nVE0nnVQeSHsfi3monmbFcOUwXrs43pGibgH3nvgyVQplSvsyO7aOknPUc1R+QsCUCwUTRZaIhAToVMemP2vTFLARheRuFeNsQlBfxihEomC6GnRtg9t3NCxTKMhEdEtHbYZuCk5am2Z8v8af7phjPVVjbG+WpV9xA5tTjkCy+I8LBkP3zn+l77GNJOgbZss/+XIXjhmJ1Obi2k9AHFygEMUvO6zzSSKbsMv7l7zH0yud3Xb7G01849gTGPvu/bFSK/bkKu6ZLrEg5HD0Y5fL7Qzk85Zgc1R8NE3GFYKzgsiLl4BiSfNllf8HntJW9HDOYACEouR47por0x2xmii6WIbni/ummMgjg/smwF9+JS+OsTDssT8fw2li4piFwg4BAhe96UsLtI5nwWHbfx+pXv7D5+Ctl+NTHyXzq43jMfnlYWya47jpcgA0bif/wl139stCq7XdMSdkL6veUbYiuRhGJWmHbJUU1zVxAd8p6dxz72NNIxxcWfRsRAvpiTttzUMMxBXsmiyhgKGkTc0xMQxCxJPkOnZgOJf1PfzqgMCQthXKg6xfiVr96rXzaYxd896t1xDmYbp3R6h5y1QvIC0DI8J1Wo9FoNBqNRqPRaDSt0YKwRqPRaDQajUaj0Wg0miY6pSgebqQQ2CIUgZkzmvvcpEmYTUvrRjRYdFmkZEUySk/EW3DI74cSgYIliShLEhHuGM0+2MV5UBAHrTAdCha+6+K2wa+3TXTeyiJuXima7/bJTafxzS9eSmJkN8/+6GuRQSitFBJpfvTJH7bcxlDE4LM/uQOAY1ek2bZ3hh/+6W5e1X0xFqRWytT0OIyMwNKlAJy5IsX1ezIA9ERMrBZ2SCKV5tXv+ziveu/HqJRL+JUKTjyBYRgMxC2KbsB4vnmo8smCS7KaFNwomQ3EraYkUQhFPIDHrElz474sI9n5w54LQon3l9fvrk9b0xflHx61in//7d38/RkrOXllDyO5EoVWcnc8Hv5rwG5Ip9ybKSNQnCMlRtB921dLhLYNyW0jGVakIgzEbYKaSPnEJ8Mdt3e9vRpj512A6bqk7FnRquIrTCnq9dWOVMRkb6b6c0Ny8MEgABn41esdcqce13I5BbB3D7lTj2PnBz8JZ/9dOF0pbh3OM1WVtwuFAt948en19V4bT/F3kSgRBOOBz5dyM9zshtfBy87ZwL9ccg+nrkjUb7VW9eCYgkwbM9T5/a/rcvChaKlyG44lphSj+Qor0w7ZU1rXB4D/uleSBcb/dAOFhjTjZUmH/rjdJKTXhGA3UARKYQiBbYhQ3FWKiqcoNSSAHvPRfzogob1G/rvfYfoZL2B1T4TtUyWWJW1itsGqtANVwbcnapJyTDoFjyogapl1AdVX4XrTxfB8+IEi6RgAZMs+QoTHtHEozraRHD0DScyeOEuWpqjMFJiJGuyb9MlOZDntuCWIhojoTMkjU/KwjDiWNDClIFAB2YrHdMklYkqyXUq9gYK/7ZxhIG5x3GBs3vy97/lX1nz4XV3XZw2BoOS7TBU8NvZHmSy4TBZdbhnJ8Kjb72LshGOqy3WzrYN/nxTRKFII/ulx6/nVnfu5aW+GhG00dYQxhKDxtW/jQJJbh5sTpY8eiGMIiVKKG/ZmuKuS5iUsrlPFLV//OXdWYjx6Tbq+3ydv6CUIYKbio1SYPF2o+PTFLNb2RYlaBpYURC2DiCWxDAkK+pMBBdfn3okcw5kSI9kKQVXmzZZ87hvOIKNhGyqA9X3RpnfP20by3D6SZ6YUcPxQHCkE5pw48olihZ1TLd5Xb7yWNe9/c33bc1HMl4ObuPce8qceR+S2bQvWmSlFU1IwgFtNMA6UwjFF204TjZS8ANsI5e+yF8y+5/f0wPT0gut3QgETK9bjWtaCyzayJOGQjpgLysFRW1KqBPV7YTRbgWwFCVjWAzMCSjsWfEfs8mbIln0SjkGuob0yvMphaRdmVNhhtK/hej9Sfm/VaDQajUaj0Wg0miMVoQ5jJNDpp5+ubrjhhsO2P41Go9FoNBqNRqPRaDSLx/MVE/kKk/kjOym3URAOkwkFgQoT0wqVB3YYYi8I2DVTeEBE5Lls6IvhmA98H28hwFcBW0dbD839QO73wUisbqSWSvdg0ko+nYttCC69Z6rjMhce299aMm3Bdbsz5A/iuKOm5NLLtrFnLLxmNi5Lce9IBqXg0j+994BThNuhgEBIvvWF33Huul42L0myL1vip3eMhuWxJMcviZO052dcCqA/bhGo8Jqrze1U5zHLoOT6BNV1JxY4P3Hb4Pf3TFLxFY4p6YuGCZJh0KHAdX3KXsBAwglTHQFLCI4eTKJUKKKCwgemixUmiy69UYuoabBzTqcEN1D8dcesAKcCxTW/+Atf/sO/LSoRc/wVbyL//Bc3Te+NmqxMxQgU5NvItO22B7DzkmsxpGBDX7xJWOvmPjMl3DqSYdnFz8Ue2XPIrh8FiCuuhXPP6mpZgJ3/9S3YcAwouHz7dH3+l19wCr5b5uPpPp4QmRUzRXX4eICyUrxzepxrKmUiqV5e8Y2/cfbqNBFT4BiC8gJCWSNrLgjLfCjqQgHf+OKl9YTVl7/h/K7WUcCuS66tT+uNhinbrc7mUNxmZTpKxVcd2/bFXFutytRIbtlKfvWhr1H21bw2MB0Jr+capoSZsotjGLhBwEi2zFH9cfwg4K6xHL5qf7+nIyYTuTKnruxjVV+UfTNFTEOyZ6bE9okCe2aKBAquumEn2/fO8OFXnMVAwmam5DVJkrYhOHogiR8o9udLTFaTowVhJ6dyJ6OZsI53z5S5bk+GF5+6nJFMseU6ay9Y+HpvIpmk/6obKFR8Lrt/km1jzfmsTzm6n6VPPL3Nyg8Mm3fvavo8nitzw+6pJsk+ako2DiTqnX2EgNv3Z5rSa48dTGAIya7pIr/eNsYTNvahtt7Oyje/YsF7SwG5FWvZ86Xvcc9oHhEEjGXLmIbkpBVpNq9IcczSJLZpECiFKeWiJUjPDzCNsL30A0Wh4jFT8hjPVxjLV5gsVNibKTM8U5533yVNwf6JAq989Fp6Yzay2oHkztFMyzIcsjbFsohfe1vHRVq1+43TGt/lo5bE9YO2Qr9jhp0r5qbfHmxbIgD7x79CrFvPXWPdvQOv7omStBcWirt57h1M+bsl8phHs+H732M8WyHbYSQU0xDz5Pq5GFJgiFD+dkwDKcH5h2di7dm96ETuxV6DhSDgC7kZflXM8+mh5bxizx4AHKN1qrFGo9FoNBqNRqPRPJIQQtyolGr5hxudIKzRaDQajUaj0Wg0Go2mCdMQ4TDgPHQSmRRQ8hSmhJL7wJfalJJ1PXEmSxVGsuUHdmeH4QtvUwqmSxVittF2KPUHiofSdfbAsvCJrviKC4/p5287Z5huI3gsauj3g7QpUrZk07p+JjMlCmWPe4YzHLM8RcQ22J1cyursyEFtfy4CkCrg8et7KHgBbhCwJO4QMSWlaqLgDXuyOIbg+CUJ0hFjtqwRc54M7Bidk/sKrs9A3EYptaAcDOF99KQNvUyVPGwp5tVvf9ImU/IpNdhNETtMk5QCEIJACUxgIBZhVTpWF4tOWmaRLXtELQNTSPZk5qRCCtgeJBYt3dgvezmmUnhB9Z+vmCp6rEgpfAWBlMhFpBIHMqxzP1DkXY+0M5si7LUd07xh/dqQ8yN7ut5n17z64q4Wq7VJq//xpey65Np57ZPvlvlp/1JWmua8c1z77ACf7x3kvdPj/CkzRW/UxGkz/nlN1m3J9X+rl+lgUYBfPT8FN+D577ioq/TU2vzlL3wq+773WwCKVXG+FaP5Cr1Re16a6aGkscwKSAzv4R9e+2Rueu9n4JjHNS1bcH0QYaKx6wdsHcvPG31gy0gmTCe1wxThfJsUX9MQLE1HSMfCc7+iJxSPlyQjnLayB88P+MD3buCqLcO89wUngxCM510MEXYCyZQ8Kr6i4iuECFPc7xjJsyxl149FqbCDQU34jVsGtinoi9rE7fDrnIhlcPqaXi44boi4bXLCsiR37c/g+aAIk5qVUvB358GVl3ddr5vvvAOlFBUv4FVnrWLXdIkf3rqPkWwFx5Rtz/nhZCDhcPKKNDfsnq5PK3oBRdfHNmbb/HW9Ue6dKNQ/V3wfPwi4f6pIAEwUXLY4Kxl8/Ud40pf+pb7c3GsLYGxoNbf86/9yStTirDNWMphwiFhGy2doLam82qTX/2+37UCFnaRMY/a925CCVMQiGbFY2ROtrxMoxb6ZEjsni9y+P8v2iQKeAt/z2TqS5R0/uR1DCk5f08OrH7O+5bvVspc9e15ZDhjXJZ/PE5+TcN+I3+KFstTQ3tXuBaXCZdvJwRFLUnGD1tfgmWfBdde2mrMgArA+8BGs9RtY4JWgif25Er0DdsdU/PB3kgfornEiUC51t6wQHPW971J2g45ycLeYAnylUAimii4DcQtzz+6FV2ws0gHuWwr4TTFPSkjKn/1ZfZqWgzUajUaj0Wg0Go2mM1oQ1mg0Go1Go9FoNBqNRjOPnpiFZUh2T5aOWHmz1ZfBC4TuHeL9C/qjDknbZMd0Yd4Qyg8VTIMF08I0Rw4F1+esVUlu359nX6Yyb36+Ekqt4/n58+ZysELFrTsm2VvwOXHzcvITOW7fMcld+zIA/NfzP8Qnv/q6RQ3f3i25is91e7JkSmHCYmnPPl76kZfV9+MD3/nkT+gZ7OGkpQl6oiYzLaSYchfC6ni+Qjpi0hcLkwJrSZ+WIYhZoVCvgIoX1PfRTjw2hKyWbpZs2cdTAT1VGWx4plRPXXUbyuf5EDVNUOApVU/KrCGEwDYl5z/h41z6p/eG0xY4NvmX61kej86bXvZ8frJlP/uyFVb/9694wmsuXGBLs7Lb7h/+vj4tahpNy7hBc1pkKwIFfVGrq/Ivmnu2dr1ofd+5HCoe58yVSQwp+dW3v8yXegdaysFN61fnfbxngHP370VO70QsO77lsjHbAERdJvSVwjEkQwmHygffcUiewbUU4G//129n91vILmob1uQEA3ELS0oG4w4A+zJFxgvz5XlfBZg8cIJwI7WzoIBTP/52Lh/8P4478ai6YOv6ijv2Z+mPWeQqXsvrTwFeoChXxeCSF7RMeq51FPjL/RM8dn0/6ajdNN80JB970em87vxj2Z0t4wWKqCWZLrr1Dgo9UZOoaZAru0QtE8tsvo48X7E87ZBywrpuFBD9IGx7hlIOIIhaglLFo+IFpJyqgBwoeqIWQwmH5Le/wV3nPBpvz8LC/cqvfjWsTyFwLAMBrOmN8s5zj6Lk+liGxJCCLQtu6dCReM5zWk5fmorymHUGW/dnmCi4JBwDUzbXoyUNDBHKtpYhuX5Plj2ZMgnb4NihGLuny6zpjbD2OU/Ff9mziHzwXbiXXtLUyUL297Puiss5oaeHx7coR6MEXJMUG4XgA0VVpWHErEBcGy9jZU+UlT1RHr2+j3zZ5a79Oe4cznLLzmmyJQ8/UFy7fYp0dDfnHTeIX32ghMK+wt6/7+AKN5cLzoW/XN929lyBVhCek8bpSoUdbDrJtgLaCurx//4G+Te8Eq65qvtyN+B+9F9w4wlST3lK1+us64sDqqn9mXva62J4w4yWqeoHMJSGfflfsSNxcgulDxsGvTfdwf6ZsDOjYwrK3oE/VRoTkb1q56Gpokes00qHiEApriqViCJ4/8BS1mxeDTz4o5BoNBqNRqPRaDQazUMBoQ7jb0+nn366uuGGGw7b/jQajUaj0Wg0Go1Go9EcHPmyz67JLhOqDjMH+yX3oSRQitF8iYkWolQnIqYkFTGbZL/aTzWhoC9mg3rgorGkgJLXIC02Rvq2221jtbdaRjX+2HyOan+KahJoGsyKJvFRzM5z/aBJwlZNK84WWFTXa9y8mPPDXLmyMTW5UfaYu/48AURUpbLG+puXiRyKH6rhWOYaf4pQjhnNLSz1AqxMR0g5FmUvTEO8dtc0+aqwcd76NCBIR0wyZa+jOHHj3iyZNkmZC7EsYfPrG2elM6UUa6KSy27aU08M/Ow1n2dTfhg4dLKnAr735d9T8RWJe7fx3P/3lo6X6d9+8GdOWBonW/ZbJhkulsG4TdH1KVTaJ6i2o9NQ46YUPGpNH9mi11GSqrE/V+ZHW/bPrh8EfPvnt9TP96//9H7sNiUMgNGfX8bQ0gGSloEQzSJnpuzyrZuH659fJoaRr794wTLxv9/BOflkchWfguuzLBGZJ9F2M9x62fdwzzjhkF4zsPhrUAFuXz/7vvfbugB4+2OO4ymxZNfp20opflPMc8PTn8fF7/wQQEvxFOCYgcS81N0DGXq+sZ1SDf9/84uX1iW8pbdezQVf/tDi67h/kNjvr2w6/h1TefJucztiGYKj+uJVKb41B3JsC1EToXdcci2RBhk96YTJwF1to2pmmoag5AUMZyt4vqInatIXMeuVG7cl520cot2V5fkBl2wL71FBeI+bhsA2JGt6otiGwc7pPHdPFFGBouAGSBGK9Y9Z29e2fGsHYgghuHbHBGP5CkMJm01DKWKOSaAUZosOCrvf/wFmvvWt1hsUgrXXXUti6dLmybRO99+yanXbsrXD2nQcx1x6KVvWrIVuE8kNg807tndcxA8Ud+3PEDUNRFWyl0KwP1ei6PmM5l2u2jmDIWDTkgRreqMMxG0G4jZ9MQvHlHTbMkhRlYCrP8PhTy2ticKBCmXxxvPj+QG37ZnhD1v3c+Xd46DgDU88at421lxw1iHvfBG/qX3ni7ltUbtnQMSSbdN2LUOg1Jy3SdV8/K7vc89EnoHX/QPO9vub9jv1rH+g5+ffr3dZaHv8g0Ps+Pav2h5LjZXpKGnHaju/03OuVSeZ/LY74YXPXXC/jcRv2krMlhQqAfl774UXPKPZlLVt7Cuuwoo0pztHTEGpw+9OpiE6dhrsi1n1jlI1YpZB/xPPQCp1yK+tuRSDAFuEIzTMXHEjjz1qEADH0CnCGo1Go9FoNBqNRiOEuFEpdXrLeVoQ1mg0Go1Go9FoNBqNRtMOL1CMzJTJlg5MInwgaRyC+0hAKUXR99g5VaRbD3F9XyxMBX0QaScBHWl0IxY+GBQ9j/snCwsvuAADcaueMLkQxw4kMBpEQinCIdYFinsm8vXp/TGro7R+075cy2Tdboih+MtdY/PL1h/hpjuG2T0eluPLf/sM60rj9fkH42/Uh2QHfvqaj3DR//xLx23Wlt/54z8R6Ulhm5JMw/HGLAPHFHXhyvWDjtdYKmI2rb9YOrVZUsCTjllCseIz0SCKGwJaBe6O5sr8sEEQXp6wue3Offz++l31aZYh+ex1X2DdzB5QUOwf5JrP/h+/vGEP5xzVx9kb+4lYBut6YzhGmPYbKMVdE3n+cM9EvR173glDLIlHyD/+bJienl+Yvj7if/zbvMnD2RKDMbtJWBQoFlKIDAkzJx9XXf7gUYBvGJj+4p5jCgikwe7fXoUhQPz+Nyz/9IeRi7SQ3CDg6699K09+7ouAcHj2ZMQiPyfNdkN/vH4eahyoIFwjEILKt3/E2NAadk+XOHl5kpv2Zjj2A69n4J47Dqx+L34liTe/A4TC9QN2ThUotbhIB+I2S+KRtpt5IARhmD3+yc9+BXfzSQghiFtGy6TjRtxAcd3uDK4/t1tLM2t7I6zucZDAE48eImq3foYrpfjd1hFsQ1JquO+PG0pgSUmmVCFhmezMlMiWPa64f7q+3zedvbpt5w7HEgxnSwxnyixLORy3JEXMNrt6lmeHh9n/xjfijY0TO+ccVv/7J9ou27y9Wc1+76c/zdTnPr/AnprZvHtX0+dWknFTB5xYjM13bUMpxT3jeQwhWN8fq4vpZddHASXXZ6rhuXn3RBbXV5hS0Bezw+ekEKzvi9Abc9oeZ03+hfBZ0JgEfCgSgR8olAqfD4Gi6b2zWPG5aeck0YhB0Q0IVHivFtzgsAvCc9/d2onAnRKEu3n/U0pxz0QOt8U2Vj3lUV3Lq8V169n/pe+3nHfMQJyIZeItMGJIx2OxJSpg3sNt4jFnwkyXo3n89nLiS5cStSXFSlgvjinxVUBjf7WoFT57G+tuoboMRxXJdNx9X8xCClF9Z/JRSiF/9TOW/ucnHnBBuEatM8imHTswDYklw3cHjUaj0Wg0Go1Go3kkowVhjUaj0Wg0Go1Go9FoNAfFRK7CaHZx6bgPNEeaIFzDVwF7M8Wu0gq1INw9R6ogXPA8th9mQbg3ajEUtzFls0xoSsGtI2FaYjJiYkrJeL59KvGtI/l5SXDdELUk127d35ToDJCOmsRsk/FsiT7l8+fbwxTa4/stPv3Dd2Bw6ITPGgttryaR7LrkWtIRA9cPJdiYbZCvePUU8oQd1mXEkvhKYQhRla4UlpSUPJ+i69Ntk2OIMClwaSrKTMllsuB2FLZjlsGmJQlQoVhUk9IMIZguefhKUfYCSl5AwfVRCiaLLhOFClHLYM9MiZvuGcOr+KQtiVABJSXYdvd+xjIlUlGLY1f38Piz1jE8U+L45SnS8VDykSKUOaeK7uw5VYqir/ADGIiZHNWXqJfVlPOFtLkIAd+6eS8g6ItabF4SR8owlX7z0mSTxDQXUwqGL3om0XvvOmTXi5dMYmWzi17Pt2z2/OovREzJ0BPPQCjVdXpwfTtKsfVnVxCLhYOwxyyDjf1xdmeK9fsvHTFZnowg5yTu5s97VPfSGA1S/CXXcvKKNCvSUQByZY+JbJmIbVCsBOTf+Eq4+qpFHUcjzg13cNd4DiEg6Zjkyl7L62EwYRMzDRTgGBLbkEgRSvm5/SNwwXkHXIZO1IqS+cFvUEuXMl2cFfsNKealiSuluG1/YVHtYV/U5Ow1aR6/cWjBktTuK6UUV90/Qc71STkm6YjJ7plwlIYAuPL+aQDOXJnmzJXpllt0g4CC63FUf5xk1K5Pb/csL1V8AhRKwUzBZWlPZJ7krpSi5Pq4viIVtWa3pxTZkouvwPcVUoJjGty/Yf1C1TNbrt5ejrn5Zoquz1ShQsH1idkGqlIie/aZ4Lr1mvISCU7ZeieZkss94wVuG86wZSQHwOqeCEuTDrumi5y0LMnGvjiGFNiGwDIlphQUXI+oZZKKWvOOsdamyoeI/LtYarLw3GTh6UKF3dMFZkoutimJPvqUwyYIR63wPb12u0UsQclt/eBo1xmmRqvk3bmUq530miThLbew5h2v7fqYFWH7OZcTlqa6Dr8GsCS4AeTf9ka4/prwQjv/qcQ/8JGm5RoTffNPegxMTHTcbuRnv8ZYEyZDx2xJ2Q2wrVlRuJHaSCuN788RS6KUajsCy0IJwhAmsgPYhiRbnu3osuaCs4Du3vMONNl/7jaM9evZdOUVGAIsY8FVNBqNRqPRaDQajeZhTSdB+MH9Bkqj0Wg0Go1Go9FoNBrNQ4JU1DziBOHDFlO1SAwhWZWKkam47KmKP5qHL4ex732dqaJLf8ye94c9NwjoiZq4vmoS4trR7hYyqjOkFHWxbUXKpjdqsWV/nl7HqE+3TUncNpgquKzsjXLHvlDC3I/BU85aw9h4jhvum+Bdr/hvPvO11zWnRB4k3WynvsyN15E57UyECMXWkheQqBRZtayfuG2CEtw7kWspaccsSaGDnJ6s1ocUELEMpBCM5yus6Y1jCEksYTIUc8hW3HkSVMI2SEcsYrZBsRzMs9X2ZYtcdt8k03OSi9f0OqxJR/m7dX1EzdCKOXdtL3+8Z3x2aPUgYCjlsHuqiERx9KpeDMfCtzwKAfRUlwzTkxXremPcP1kIkw+FoDdi4PqhlGxK6nK0FzQL+5YhMKWofxYCfrJlhJlq8vxMyWNlj41ZPbZs2evYMcILFPkvf5foE07v6npZaBnxH19CvOeti772BGCe/1QAYpNjVZnwwK7emhwMhLK55zdZfDMlj6G4wp4jOMUvv2bRSbvu0mWcujLN8nQUgWAsV+baXZMMxmzinoEtJYVXv4no1Vcd0L2ogLu23Et89QqAtnIwwFhDGnbUlJT9AKVCCc0lxko4ZB0HGqnJsskXXMieT3yJVe95PY3qdQBs/5/vYa4+CqUUUyV/0Z0lJosev9k2wblHDSJluyMIp1vG7PzHbhggU/K4fTjDcLZcn56wjLoseNd4jlOXJzHl/EhMS0o2DiaJO919tWNIgesGTOYrJByzLs4GSpEpuGH6pxTEbJOoHe5PiuqzTYgmCRkUKFh9xxZ2Hb954Z1bFsffdit+EBCxJKt7Yw1tXBzuv6++3Z2TBbbuz+AHAaO5CqmIydM3LeH5Jy1DIPCVwgsUfqCIGoKIbWLMqfc0s2WtpQI3CsEPZ4QI08nrHTgC8BT0xGx6YjYzxQqThTK1bhKHrDrSrUV2AD9Q9bYhajUnac8/ABCqfYe1iq+aEnNb4Rgm6/pi7Jwu1jsQrnrHaxc6gnn0feCtTH70s3OLtyimTz8BvDnvYT/9Efmf/gjiceJ/qQUpzar98T/8FYD8Y0+HfL553YtfycDb34WA+vtITQrvVCcQJgjX2paSG1SThQ/s5VWK8DkYNSX7c80d0CaffhF9v/rxgs9aRdgGH4rA3+D+++vb1Gg0Go1Go9FoNBpNe7QgrNFoNBqNRqPRaDQajWZBLEOSihhkSosbov2RihCCtGMTGzDZOV04IpOONYeGwzk6VyNGC9vJC7oTg2uYc+SqqCk4bkmCZQmbUjXi1ZIS0xDkK+HnC4/pY8u+LOcevwQFVAJFJYCUKVCexwkrUvhBgOEH/PLP9zKQcnj8CcvYNZZjJDHA0tz4gR90lQNJvV71/jex+7++xco3vQxZPWcC8IAZgJUrWfnzS7hrvFnK6Y1azJQ6i4OWISm6HgoouLPL1uSXoJo6G7VMTOni+7PtQV/MImnbtONP900yU5p/Tj1P8ecd0/x5xzRHD8R47JoeliQdst5sUul9W/Zw3d1jnH9MnPLMDDM29PfGCBTcPV6gJ2oSt2aFwELF59jBBHeMZlEqTGkH6HUMZsouccuq77+WwOoGAYaUTYLoWL7CvmyzOLRnpsKatI0Qgl3TRY4dTLaU66WAouczWfSYfPJFHP37zrJRV9fB0CCiXF54uRZEP/xvbLtlH+e+/jkHtH4rwvrP0xNt/tP8eKFCxKwNCe+Tq/isSkdASrqNrhTAqj9dSdQ2mC645Coed45kUApG8xXIQ0/UZHr5etawsFzdjiWf+zf6/vcbgOLu8TzdnAm/mtydK/v1DgZ7LrmWVRechTzAcnSitr1V73n9vGkSOOo1L0QBv/3mZYx1md7eSE/UZE1PFLVALdaF/erPppT0xmwed9QAo9kS1+2aImYZXLljqp4kOlPy+eZN+3jVGSuZKLr0R636/RKxZEc5uHF/EHbisExJImI2Ce5SCHri89seU4adRJQKJb7afhUQqNC2TaVSbN69iy3HHjdfZKwSecyj2fD97yMAQ0pq7ntN2A1FwzDx1leCNX1xVvfG8APFhoF42+Obe6yNScAPx2TgA0EKkAYY1aR3L4B01CYdtdlx0UVkf/zjQ7av5BXXtJ3n+qqa7CoouUHbViJiCiqeWrAV8RdIEAawpMFRvXEyFZfRXOWA2pbEDVczWdueITh6IIHf5Wt8PpeDx52xwEJ58qceR/ymrbQ66ll5OMSUoehfdAPitiRqSRSK8gKjauyYLmBKQU/EwgwMHAMUAkNCwjHIl/35e1+givti4WgXmRbzsm98J9bwXlI3XN1y3dqmA2D7b68l+OF32fiNzwMH1v43vgsGKmyrHsn3vUaj0Wg0Go1Go9F0QhzOLzFOP/10dcMNNyy8oEaj0Wg0Go1Go9FoNJojjumCy/BMZeEFDxOOJRf8cvxIIFABE8UKo7n5dbe+L9YxSfNwcCCy5YPBQimuDxaZssvumeJBb2cgbrVMr23FinSEtG01yV5KBeycKdZF3m5IRUy2jOS4bzJMur7wmH4Kbuf1Y7bBb7a1HgJ7eqrAfaPhcPDLDcXlt+7lsSetwExESEq44oZd/N/v3oPph8Lr4fI45l7fnfa748d/gkQCQ0BfzGYsH963liGwpGxbPwNxi8mCS7Ka0GkZAllNK54quM1DnjeUY2nKoS/iNE2PWAIhBCqAK3dMcv2e+SrOipTD3sys9Do8mmFVTwwZtcLhvpXiez+9mUcfvxRbwIqhBPfumcKwLB57xlq27p1hSSrCozb04ZiSYmVWFBqIhyJwxVOUPL8+fPj63jjR6hjeSikuu3+SsUKF1ekI56zuxTJEPUn51uEsV+6YCo/HlJhScPqKRP2aXdMTpeQpsmWPmZLHSK7M7ukS5TkC2Ik/+yqn/uGHTXUG3Q9Pvphz32q9d779u5S8gM9+7qUYqEVfs6oqh+9oMWR9f8yi4Pp1AdOtpqM2sjThMJRwyJzcZYrwa95A/HVvIu+67Jia3y4lHYNCxcdXMPiWi4ndtXXxxwRUVq+m7+eXAuAF/jyxvh3t2rnFDE2/GLpJslSEHQWsOdO3bz6LP7/hI/VpScegP2Zx6oo0xy5J0B+blWvbXZdzr7/adzFCiPoy2/bPcOtwDkuGbcb9UyXGcpWme+HRa3t4xqYhgiDskCDaJha3p3GNVs98KcCSnQW7Rlm49rMQMPyDHzP5jW8i02mWvOfdJE44AQhFY7O6zU7yXigJ09TRwJJhmWr7aPU1lpYBu0M1iMIK2LJq9cFvExCRCPGrbl5w2cbE+blELElpEe92jWn2nfADxVdu2MOLX/fkRbUrtTZhV7XN3jgQx5ZGx3UaWWzie+9t26h4zRd3zJJhkn8V15/ViBdKUW5kb7bQ1GmsJ2qyPBFlrFDGlIKhuIMUov6MBzANuHW4lf4bdiqzDNH2XNZYn5AEf/co8Gffl2r1evOTns/eF72OiYLLkoTN2omdHPu2i2nMNF7s+Vp73bUkly3DkmAcilhijUaj0Wg0Go1Go3mIIoS4USl1eqt5OkFYo9FoNBqNRqPRaDQaTVe4XSR3aeYjhWQg6pC0LXZMF+YJYA82R1ZpHnq0qz9DikWd6yCAdGT2T3U18Uk0qBJCwGDMqSe71tdVMJKrECjqAmerUs4tjR8oVvdEWN0T5cr7p1pKrHPplFBcdMN5vXGLgZ4o5yUi7Jspw0wosp5z5lp+eN5PeMZn3kxi384DkkEOhEYJfqF9rb7oCYz84TocUzJZqDAQt/B8RckLKHs+fbFQBJ5LpuRhStGU9msISEettvW6qidaT4xtJFBQqQo4py9PMZSw+OuOmXlJwr1Rk1TEJAhgyDH43W3DnH/iUqYCxereKBectYZpT3H5jbs4/5QVfOhlZ7F3psju6QrxiMmVd40xOlNi0+o0e7Mu56xNIRHkyz4bBxJhXQnB6EyRn24bRyHYPJRkquRyw94Z7horNNVpmBQaXsureiJAmDZ4zpoU+XKzWL19qsiV26cXOBtw27NfyW3PfiXn/O/H2HjTlU3zurluDubaytlRSlUTLRAC4wCCNoQQsOHolvMm5lxHra6tJYkIXqCI37SV/OnHd04Sft+HiF/0gtqe580eiFsIZpOhg698l+Bxpy46YVMAzimzCZmBWkRHkzYL7fy3z7Pm/W8+4ETjdiy0rdp8a85ngPVbrmX9G87nL89/A+MXPJeZkscpy1M8el3fvO3ME4Fb7KtY8bh57zSbl6ZIRe1QTPYD9s6UiFmz7cCpy5McO5TktpEsXqBYnoqwcSCOaRiIhua9U323EpQXWl6pUNI1aC/ezj6XaKqsFX9/EctfcFFdHG6V4ttJ5jVkuN96CihhcHarfWsWjxDh80iK8Bxv3r2LLatW1zswLAZVPcGBlMT/emN367SZ3kkcbkeXYeoYUjCUaJ/O3y1R0+g+PfjS3y16+/lcDjsSJmbX6skLFApFy/5IB/HSPl30GIwF5CoeliGrorVqOg8C2NAfq3dikEIgG34O6h1lxLx2oIZjCIKb72hKhb58+wR37A87kvQTvr+csjyBuXIzU5ddz9X3TfLk1zwFSy2+I6CbCtvkoNp+aTQajUaj0Wg0Go1mPjpBWKPRaDQajUaj0Wg0Gk1X7M+Umcy3lwMPNw+VBOFGAhWwL1uqi35HQoLwQ4UjNUF4ulRhb6bUNG0wbjMYcxjJl1rKpN2wmEThmGXwm7tap/p2YnnKZvNQHDdQxCwDIeiYQGxIwV+2T1H2Q9lobp8Bt1hmeW+MnrjNcLZCypZUXJ9LbxupL5OMmjztlBX0xi1iP/oOK7/5hVBIW2TZFyMSLkZEVkDp+JPZ/5kvt10mHTHnybowX/AciNtMF11MKeqiaSPLUw5px0Y2CFqOKSg3pAkqpdgxXcD1A2xTsm2swL0TRZanHPY1JAhHTMl9e6bpjVk867RlCAQ3b58i8X9f55gtV1HoX4r3tvdgr1rOeMFlx1iB4fEcV1y7nUTM4tnnb6bgBTxqVYqj+qLErFCZ3D4yw3X7MoxVFANxi3NWp/nV1vEmR8kxJK84bQVGNe5ToRjOlpkslkEJlqZs8hWfXIMkrJRirOA1SfRChAJSyQvYPlmsy+5Jx+Bx73oZseFdTfX3QPqCCnjTK78EiQQAz/nDVznvzisOaJ/xm7Zyx2jrRMYajiHwAlW/p5YlI5hS0Bu15slp+fMeBTMz4Qcp4ZP/Qey8JzWJfndPZJs69aQiJpkW16wAVh9Aem/ypq0EQKAUuYpLwfURAipeQKbcvg3p1K4N7ruf+Cv+of75UMvCB0KtBu859jT+9uaP8cozVrJpaRKA0e9+l9H3vT80FoUg/cpXsOqDH2THG95I7te/Dlc0Tdb+4udEjz+e39+1n4hpELcNTlvVS8nz+ct9401pqP0xi5NW9BCzW78XHI7EfynA1pbdwxqlwA3g1pWrF5fWWv0uMX/S6Yx/8oscO5jAEAtHttbS5ecSMWXLZ2MnFiMVbxvPseLJZ4SyepfbV4CXTLH3R39gZSpCOtJZMo5asv4cmzrp2C730oBlcfx994ajBihFvuwxnqsgaqK9EE1pwot5F54qVSj7PqLamCoVpgArBf0xp+ndwzYEoS+s2iY0t0p7rnU6aTyPtgEVf7Zuyl7AdMnlR1v2U/EVvVGTk5clMKvvnF/78w5MQ/D0vddy1rc/u+gE4ezlN3HOhoFqWRaxskaj0Wg0Go1Go9E8zDioBGEhRAT4M+BUl/+xUuqDQog+4AfAWmAH8Hyl1NShKrRGo9FoNBqNRqPRaDSaIwtLj9t60EghWZGMko547JqeP/y7pj0PVtJxKxG2kcZZcdtgdTqKrAozgzH7gAVhRShX2IZgptReuDsY9mUqpB2T5SmbQsuoumZsQxK3TeJCkCt7DMYs9mcrKGAoZmIkbIZzFcZKRfpjFvty4bE/5dQVmFIQKMhVfHbNlFmSdJAvfCkTL72YwSfMppE+UELgYrYbueMWAP7vC5/iqkt/STSd5NXv+wQbjjsRCGWnVkwWXAbiFtMFFyEE+YpH1DIoeT5lT+ErRTpi1EWp4UwZPwH9UbsudzYONT6YCAXjwbjNzukibsVnTY9DyjFxTMGKtMNEtsKeiTwTmQLrlqWpBAHlmRxrnv8kntoYtTi6C17znFCmefRTSb767ezIl8kUXDIFl6mxDJHeBFdunyYdMXFMny33jfHF327lvHND6WlZ0uGe8fy8e7HsB+zLlViVigKhNKoIEAj64+E10hNt/jO0EIKhuEUr7h4vsirtsK43TCFe9ezHY5Sa04oPB5/6xlt45z9+FQD1zg/AO/IAxQABAABJREFUy6/oWlqtLRe/aWvbZRxTYDQIWnHHrLcXg3EbP2CeHKyUInbZ1eRcj5mSS6bkoYD1vk/CNtmfKxMxZZOM1x+z5qUVN5YzMEykv4jOPyIUyZRSTJcrDDeI6gCr0hF2z5Rarjqed6ndPoYU2IYkV+2U0HfiiZg3bSU/MgLPeDLCO7C281BSE3I3bruRnVf/nqHzXsd9L3sZxcsub15QKWb+96vM/O9Xm6e7LjueeiEBEH3Ja8m96BWUXJ/fbd3fcn8nLG8vBx9o2Re7bKDCf/LBtrM1DxhCgCXDZHQZBItKES709DP+yS92vXyn6+hAUqErXoAU4TW6EGt7otx6zlM4/qruk30FcPztt9I7XcQQEq/DC6BjikUnIM/Ddev1L4QgEbEwDclMoYIpBelYKCh7fsB0wW15TzummDfqRNkLKLo+U8X57ej6vliTHAxharFjzqYKz8WSzJODAQyDeZJ37blVqxspYV+2xOPW9bBlJM/pK5MUXZ+emMVMyeOkDQPEbYORY56O+PZnF/WcVcCV94xxzoaBpgRzjUaj0Wg0Go1Go9E0s2CCsAh/O40rpXJCCAv4K/AW4DnApFLqE0KI9wC9Sql3d9qWThDWaDQajUaj0Wg0Go3moYlSip0TpYP/IvwQ8lBMEG7Eq8p75txxtDUtOZChqA8W2xBU/HA45UYptGnY9oZ42orn1+XgGnnXYzRfJmZKFFDxw6GjLSlJOAZxy8SvDicdyoKh6OGYkpmSSzpi4wcBW/Zn25bzQBOEa5y1OkXMXPg63Jspc/f4rNguRSgfRi2DfZkyQaConaH+mEW27FFpIdds6I9y70SR1T0OJyyJU3ADVj7lURhKdS2FQPcCSbfL1iipgMfu39ty3olnn8vnv/UjSl6A01RngkApXD9AAb/a2vp8pByDdMRkw0CMmCWRAgaiNnE7lGXnJghDKNxuHc3Ms14qrs/3rtnNeK5CxJQcv76fxM77uOiTb2x7zLUt53oG2PPtX7EsaXPH9gk+/J0bOeGofk45bS3nb+yj6PrccPcYu/dNc9TRy5ip+Dx6TZqoZfDbFtfayrTDM44dQgC7MmHiccI2m8TUnqiJKcWCydj3ThQBwYb+CL3/8nZS1/31sCfJ1sSjN7/l2wjgY886nuTzLoDx0a7WBRB/vp54NYG4VYJwT9RkujhfzDUFHDeUahLglFIEKCaKFfIVn0KLpO+UY2Iagpmii6/C7fsBZMsLyL+5HGsuekJY5gWPDsSPfkV64wZ2zBSYKrjz5MKhuE1f3GbbaK5pum0IUo5ZvYxDjc2xJEEQymkxyyBpG/hqfinyT3k87B/uonQPDLXrwVy9hmDXzgNaH0CcfyHH/c8X+MNd+5tSOtf0RlmajDCQcNrKmgeSHnwwicO2oSXhhzvTt97OPec/tWtBWCnFzkuvq3/uNkG43fvbgb7XOWaYgtvq/WIuW0azrL3gzO6fIYbB5h3bAfCDgOHpIu36T80tf/7U47rdSxObd+9aeKEqmUL4DGj8WrfiB8z9mtc0BF7gYwoJCBCq3hhIKcLEfxVKvLXX28bqFIKmbbY6VzFbUqjMP39ShCnEtToPVEDe8/F8RbbsccPeLD0Rk/GCy6p0hLQjuXOsyJreKCtf8wJSwzsXPF+1ol321o/zW2M1l77lMSAElgTdn1Wj0Wg0Go1Go9E8UjmoBGEVGsS1v+ZZ1X8KeCZwbnX6N4ErgI6CsEaj0Wg0Go1Go9FoNJqHJjWxUXPoCMVg9aCIrw9JHgRRKUxYU11d/wLmycEAcctkbdqoCzhKqXkyjjFnOPeaJBq3LHw/IFCKuG2QbyEFHgqu3ZXhCRt6CTpE8iUdg+2Tzamgg3GbiUIop67qibB9MpSHN/THKLk+MdvGMSRjeZeZklc9NknZC1iWtClWAoSAgbjF2B+uY8kTwyThTqe6VkIfMLpcdrF4HVa87eorePIJq/jZjTvaiq5CwGkrkty4d77UnSn7ZMo+u2dmU1dtQ3DR5iH6og5Szlf6pBDsz3tETEkqYtSPOWaHcrkgTPAzfL+jHFybroDE9DjHfvSfKH3mi6xYluajF5/J539xO8f2R7htOIvvBhz1o//hWX/+ZdO2FPD0Z/4DM697K7M5uSGj+RLTRQ9TCsq+QtB8vU4XPfpjFn0xi2LFp9hiHHNTCoQQ2FVjKXndX9scyQNLbUj6b1x8ev0zf7iS7OmbwW9/H9bO3OSz/oFiSUEpi1KK/tj8tGRDipbTI5ZB3m2WeouuT9kPEEDUlBgCsuXmcmQaROCYJavPmIC4bZCwDQwpKbph4rApJfmKR8w2yBkpRv7jKyx926vbCvW16bve81F6BpcRC3ymS149rbKRsXyFJYkIy5IR3GpdCWB5OtYxjbO2n/DchzGQhhC4viL+u8uAAxfwDpba9eBX5eDFPo7qy1/6G0qFT3HWmj7KXkDFC9g1XaQnajOYjBy6Ah8CXD+UhHUa58OXnpNOCFOEW7yXzEUpRSUapsT3xSykAKHUwb2bHeC6ZU9hdmmvbx5KUr70crzzz+tq+RN3bkdVXVpDSlb2xRjPVsiWFpGy/gCSitlE7YDRTKnje6nnKxzTqHY4mrNcMDstYgkEAj9QWDJs0YNqCm9jYnCgVD252RBgm4JCJWj5O8y9k/mmaUnHYEUyijLh0nsmmSi4DGcrAIzlXTb0RzluIMrRSxJ87hUf55X/9mLsanezTh2dxpeto3LymZRv3ke+4hF3rLB83VSkRqPRaDQajUaj0TzCWDBBGEAIYQA3AhuALyil3i2EmFZK9TQsM6WU6u20HZ0grNFoNBqNRqPRaDQazUMTpRR7psrkyodGULQkHKwTWxMNHw5ELEHFU10NmfxIJWpLii2Syh4oJKEg0a0XPzdt7WAJh672GStUuHu8QH/UDIUVAemo1ZTsWHIDfrXtwBOEazz1mH6KLaLyeqIm2ZKHp2DbWIGRqtgBsKongmMIdkwW8RSkIyYl16fsK1KOQdIxyZY94raBFIKYLVmetJFC1GWThG3gBwFFT7H6grPqQshcMbXG7nMv5E/PfzMvecP5dRGkndAYUD2Xi6iHCd/ngrF9HZcZWLqcL13S+e+ce2bK3DNRbDvfMSUnLImTdAwsKVjfHydpm3iBwp1z4d03WeB3d48DsCLlsC5lc++uSa64fZjly3uIxWye95GLSWenFpWsHL3pDnJlj51TJRwzlITu2TnG41/7tI7nQQG7fvwnqCbkAk0Se7it8Hott7mJTAG2KbFNiR8oSq6PG8B9kyVsQ7Aqs4c1r37hg9E3IKSnh/hlV8+bnH/y37VMEq4pV/vf9B7KFz77AS3aQNxaMIm5afmYxZJEFNMQ3Do80zRvx3SZHZNFBuIW5//jszCzs2nH9bqPxfB/8Qf6BvuwTUmu4vHzO0fpj1kMRK36goaATUOpumB3oDimQApRl8yilqDohlvMv+gi2HpHx/W7HaL+QcE02bz9/vrHIFDkKx7JyHxZHGaP44F8PWiXNKzTOB8ZXLdsdSj7wjxRuPb9oWeajPzualKOyVQxbHtOXJJsmfg9d/1apw8pRV06tQ2BZYh5772Luc4FICUUykHH9XpjFqaqsGPT8W1f1GQ6xSlbt9Tf5bwgfD+pP/OUIlN0mWxod+cm/ufP6NyBpBXG8uUcd+01i1oHwhEE9mfKeB1+caj9nhS1wmdsoML6oiF9OWZLXH/+O8fc37EsI6wP25gvBNtm+DtMje1TeQoN75LpiFnvJFZwA67d3fyMOXt1GscUbF6aJOWY/PSqHRz7xueSLrUfOWPmnHPZ+rZ/5b6JIlPTBd7wuPWctKonTKZfMBZLo9FoNBqNRqPRaB6edEoQ7koQbthQD/Az4E3AX7sRhIUQrwFeA7B69erTdu5c/BBcGo1Go9FoNBqNRqPRaB58JvMu+zOVhRfsglV9UfZOFjkY3fPhJAgDmDJMlCx3ii99BHO4k5Ytg7bDSreiJrsesv1L2JMtsn2qxA17shw3FGdpIhTIko7RlB6ackx+sXX8oPcpgace29+UVNwfs5gozAoxCsVMyefmfbmmddMRk7LnU/YUR/VH2dgfY31vDCEE+3NlfnLHftb3RfEDxe6ZMmevTmFKwUDcYrLgNtVd6j8/Sc9vfjJP8PPtCHu+/1usVII/3DOFAtb98ps87pLvzVs2AEY/+lnid95C8nvf6FoW9JTi98UCH8xMLrjsH+4aZbrYPlXQNsI03EvvnpwnL63uiXBU32xiaCpisjIZwRCSAIhYYftW+9NtxfP52k376jJQ1HX5xq9v5+R1/axe2ctI0eXDH38h0L0YqYDeT3ySlS/6e4IgYMd4gcLznw333bWgYNkoCreSswuvewvjz3ohUoQCeGYRnUu2T5UwpOC0D76R2LbbHzTRM37T1o7z8x/9F/jFTyEIwHaY+vI3mVm69rCUbbGCcH/UYmVPDIDbR2bq95tSivsmS5y4NFEXuvpjFrYhSTkmljRQgGWIukCWjppUfJ+7xvIMxGxitoHrBxQqPjnXY006hhdA/tLfwL+8F1w3jEl/6SuJv+ltHcspRTWpt+GGaZTwZFXey73nn+D3v2u7nSNaEAY2797V1XLtxN0Hglb7kiJMEdY8/LnhCeej7tw6T6BVQlA89wmMvedjQPO72PFDSTrdaUop7p3M45iCFckohpRV6VzgK+ZJqa0wRLh8p7RcIcAxZD3teu674vKeCI4VXshSwLYnn0/l3vvANEk97UKO+o/PtBThlQrf65o3p9g3VaLsBZgyFIlr5EdG4KndJRXX2Lx7JwfaWimlmMiVyZZaP1+jlkSpUAxurL+IKSlVC2606QgXMQUBNIm/hoCpcoWEZVVH2AiRgGUKDClQCu4azza9ozYKwkop/rxj9hm0tjfCScsSCGBtTxzHFPTEbe4fy/GNq3Zy/P97Hyfuuq3ePt3+/NfT84qLw22h2DFVJlPy6DEEbzxvAwCOTj7XaDQajUaj0Wg0j1AOmSBc3dgHgTzwauBcpdSwEGIZcIVS6phO6+oEYY1Go9FoNBqNRqPRaB66FCo+OydKHZeJWZKeuA2EAu/MnLQtCNOr1vTHmMpVOsp1C9H4BffDiZglKRxGEfahwuGul8UK6IdSEPYDxS0jGbaO5pmuShW9UZNHrUpR8gJ6ombTvROzDH5zV+sE4cGYxWShQsKUKCCzgIAesyTnre+l4PodJUTLkFyza6YuflpS4AbhsN+vPn0lhhR1kShQiltHMuyeKbNrerYNufDYfgqV9uJozDLY0Bcn63psnyzgmJKkY9TLVPEV4wWX5Qmrow2y5oKzgO4UnGIQ8KrJUe72FpYvzzzvfN7z2a8vmDIdtQxu2JslX/EpuT5reqOsTtv1pEZTCvrjNv0Ruym9MWIJUKLezl12/wR3juYB6JWKL/zo5vqyT37cRt7xwYsWrxmZFpvuu4c7N2xEubPHvBjJuF16sx+JsefnlxMxJYYUTeJ5J3ZOl5kqupz//pcT2bfriBWE53LvZO6wdVpZrCBsiPA6LHlBU+Jk3DZY2xOjN25x5/4sjikZiDoEKkyWLFRT2xuft5YhuGV4BiFACsGqdISUY+FXDz3/vnfCJb9uX5jjjqfvBz9BiHA4+8aEXAX4ftAk5DUKiVKE7xC+H/6f+c634TMfD00+IYg+9rEc9d3vsGXV6q7r5sHgcAjCi00ebrcvLds9ssjlcuz/ylex+geIP+OZxBMJQDGZr3DDnmkMMSvgHjeUIGqaBCpo2aEqUIq7xrMECgwh6K2OhLAk4SDoPpp6MR22DBk2B5Yh6yMtJCMmiWpCtwDsRSbMBircf/3+qH6nWvZ8RjPlZkl4MSnCPT1svv1WDqY7Q9mtlaH1nd6qc13UkiCgWAlwzHDfczsnWkY43fXD9zqFYud0oS76ruqJkLLt+vKN78A7pvMtn/cJJxxlYNtYgX3VDqcCePXpK7BNo0lWTkYMorbBn+4a5bvX7GZ/pgyEsvjrz1tHpHoSlYI7x/Lcu3ua/3nJaQghMGXY6VKj0Wg0Go1Go9FoHml0EoQX/FVYCDEIuEqpaSFEFHgi8O/AL4GXAZ+o/v+LQ1dkjUaj0Wg0Go1Go9FoNEcazgLftsZtyVA6QuMX3emYRcwxGJ4u4QfhNpb1hMukotZBCcIPVwpu0PTFvObBQT6IQtSW0SxX75ppmnbS0gQlL8CSMNPlffPoNWlilsSUgo/+ahuPP34JkjBd15JzU/FCCm7AjXsznL06DUB/3EIgCJSqJnsqMiWPiCk4bUWCsbxHxQ9YkXKYLLokP/QuCrdehSRMGAg30s+G31zBpqEEX7l+LxFTcPbqNKUFjJ+NA3E8H2KmydEDCe6fzDdJkQlbsjwV7yhKxiyDyqo12LsXHtWsFARcXyl3JQcDXHf5pazujbJ9sthxuaLr8+jVqeqw7KGG1ygCx22DtGPWp1kSTEPiBQrLCAVipRQbB2J1QVg2XKAnbxioyzOLxve4c81a4MAUpVbr1KYZpQIrXvAU9v7gd/REuzeyhICposeWEx7N6fu6EykPNYuVgwEGYjZ7M5070TxY+Cq8d+dKZIWKz70TOcqj4fRjh+I4piRQ4PlBw/pq3s9Kwbq+GEKAH4RC2fTznwt33dG5MFvvYPIxZxG/4pqWsx1ThqnMTftTIGDXTLEuqAGsvujvSb3wJSzvjWAZsn4PRc44ndL1hzao5JCmEqvmNqC2/Vb7PKjddLnc4Uwq1hzZJBIJEm97CxDe414AvhL0xR2efMwSQOH5irvHQvG31imilYg6USzXpVFfhR16IJR3+6NO12UypcT1u+t8UVussbOGZQbEqz8fyLudFOCYVJN4qRvzjmWyqt+g7AaMzJQIFMSv30L+tE3zkpjn4USIX3b14gszdzOWwcq+KLsmCk2d1MIyC1w/IGpLipXZ+mg8T16gwtFLfI+YZeIHYXvg+uE7n2MK7h7PkZsj/M49HY7ZxSgfKqyWE5bEWZp0uGlvFgXkXJ8+02jqbJUt+UQdg4htct4xg/zf9Xuq+1X88uZhnn36imqbD8cOxhiMWoxmSyxJRfGDsFOM7tig0Wg0Go1Go9FoNLN085fZZcA3hRAG4WgxP1RK/VoIcTXwQyHEK4FdwPMewHJqNBqNRqPRaDQajUajeZAJv2xun6qajtnM12cEhhCo6iqDqdmETMPQ39y2oyYGtxIuNEcullGVyKoSROPtUHNFZhPoZn9u1EiGsyWu2d0sB8Pstrq5HJYkLE5elsQLwrRQs2rE3Lx9kqNW9hC3JLfeP8GmNf14KIKGwtoStu2aZnncIl1NA++NWkwVKihC4TZQVIePFgzGLXoiJtlLf8cpH/9A6wJNTCAfdQLeccfz0q99n7F8GSHCRMFcxSdhG0Qsg0AppgouK9NR+qI2XoMtYknJhv44k4UyMyUPN1BYhuwoBycdg5Lrk//WTzHOPwejUm6syiaKQcCdboX3TbdOYm5H1DBJRUwypc7S9mTRY6bk0xMx5omBmZLH6p4oTm2M82qyHzR3EljbE60nuTZuI1t0saMH2E4scnS5xWLOTCIIj7FbCbE2dPmWZ17M6Zd+/9CKmV2SP/W42Q+2DX/8WzVJsz3JxcZSHgS2ITmqL0au4jNdqsxLf2yFaFGLCojZJv2WpD/mgKIprbeGKUX9WmycXvEDEpYBQPmS3ywsB9fIzJB/2xuI/8cX580qe0HTu0bB9blrLNdyM7umixy/xGQiV0YKwZJ0BKXgqJ/8hHue/gwqt97aXXkW4JDfJULUt9nuvjhc0u5C+3kw7j/NkYEQ4XuNURWFlQKFwDQExy9NsWeqQKX66Cu6AbYhqFTbCS/wGc1V5m3TMSV9EXve9M4c3J3QOIrqwSTLShEmavvV+ggROJbBmoEY2aLLeM4lfuOd5D/wTvhtmyT117+F+Ktfd+AFaYFlhG2mbQgMKSi5AUVXYRmCYiUgYkoqfjBvpIvxfIXxQrl+3m6/7T+YuOWH5JICzwLThURWETv2iZx55r/W1yu6PiknQCKQAnIVD6UU+U4dv6oNScVX9EVMHru2h76oRV90/vUQsyR3DmfDDmj9UTYtSzKRr9AXt9m8IkVECpamI9gyrH9rieCa7RM886QVKEQ1tfqgq1Wj0Wg0Go1Go9FoHjYs+FdLpdRtwCktpk8AT3ggCqXRaDQajUaj0Wg0Go3myEMIwapeh+0TJfw53zDHbNk2YdhXitr36KacXabY5XDzj2SKbihKeUEwL63rkcbhTDe0JG2Ha25HoCBouKRjlqRwAHL3ilSE15+5Kkzm8wNuG8ly7e6ZME22TfSdqtZO3DZwixX+vGWCU5cnZ5P7qj84piSfLTHlBRw1lEAJRWaqwLLeKNlAETckW3dPMZat8Nij+7EMwZKEQ8o2sQ3J5fdPMRi36I8ayIZ7efyPf+SoqhzcycdQW++g8sJnUfrS9+vLLkvaOJbBeK6CUoqVPRH6IlbL+jdEKDEKKal4PlMdkpR7oqG0GyhIm4LCH6/GevWLidx1Z8tr6T+zM/y0mGOxrZIQghXJKLZRZjw/X4aqUfQCbhnOMRi3WNMboccxSEVMpooehhQU3QDfZ5483IgfwKahODftyzZN3zee4+Jz1gNHlsxXEw+XveSZlH7y2/rw4WLOQpYQpCPWrDApBE41GTCQBjJ4kJ8VlQo87gzyz3ke8Q98ZN5spQI8pRjrcP4PNQJBxDSJmCYDMQcpwlRppRRuEFByA6aKFaYbxPXGS8s2BKaUFFyf6aJLXzTWGNoLhG1a7Rw2pdk3/DhTcolbBgIovvvtizuIKy9vO6uxI1LEMDAFeCrsVLA87RAxDAwpEIQdkEquQgrFr+8Yqa9nfOormBIGn34eRjFM3j7Ye+NQ3V9BtX2TUtS3eaifcY1lbbftbvZ7pLQnmgcPKcAO+wHg+rVEckhGbDJFt94+uIEiaktcL2DXTOs09XbvMZ0In4sL3yGGFPTFLWxD4gYK1wuQAmJO+DXooUiVFQJMEW5LEUrTvoJACZJRm5htsmuySPyjn4KPfgqAfC7s4NCqk4nnK8yDNFmFEPTFbUqez0zBrcu+MNuho+QFmDJsc2qdr0wD9mXD81TI57nuJ09k3woBywWePVummRSQ+xOFb/+RM5/9C2KJIaaKLlNFF1MKhAifEZYRdiSJ1y6WBvpiFlOF2Q5dvlIcMxgnYoTL3nvvvTzr3FMJ5jyIlq/ZyOd+cSVPPXlZ8zFLQcq2AEXCNrhjf46Mpyi6PlHLDAXhA65RjUaj0Wg0Go1Go3n4cfhiDTQajUaj0Wg0Go1Go9E85LFMycpeh50TzV/8p6JW22/dTSmREvriVpP8ph7g5MqHC7YpGIo6mIZgIu9SKAeLllc1i8MwJKWDTG4+0DPUeGodQ3LGijRnrUwzUSwznCm33e7ShM3ftu5nuipgfO3PO3jpY9bgBap+r41kyoxkyvPWvWskx8krU9wwmqdQFff3ThY5fnmKpB3etwnbJGEb7M2U2Tmt2DgQI2JKHAOO+ui7ge5Essj2++s/K6A/5qCUIIhBwfXYM11iwnJZ3xtvOlYhatuX9EdsJksVoLUg3BezmGwQUWopw+kvf5v9JQ/zD79hyf98FlEp4w0uZeR/f8iPTl7eRembed6LXx6WSAiGYg5px2I4W6IwJ0HPV4odU2GbOZZ3Gcu7RE3B44/qIx0xKXsBZc/HtjtHG/7wht1MFCrsny4xHCie9NgNbFjVy9NffT7mb4/cDhfm2EjT+ZhLOmLSL2dVnk2DSTYNhj+P/PpKEk99zIJi5mERo3/6I/KrVhN/2auaJo8XKy2TMh9I1JyWIOygUJVOkcQsScwySUVcdk0XAUjaBmt7YkgZmm2BAjfwuXciP5tePQfTEJgSim7rlmcw7iDFgUdy5m+/lfgJJ82ffsVlGJf8Bv/0M4lf9AISjkmm7LGhP4Yp52tfpiHYOpppmuYHirhtsu/nl81LzRQCev52GamPvHd2Wovy1VYLhKBkx4iV84s9xJbsniwAsLwnimXKpjThufs+GBYSg/WbhGYx1GXYQHHVjgnSEZN0xJq9nhSUKgF516uOMjCfXMXHR2EuosUuVGaTcduNqtEbs0hGLYyqEWsDOLPzBQeXHjyX+juJAKlmU4UNQ7I07TAyM/uu1Sl9fjxbZmlP9KDLE7ENTEMwNWdUhbKnMGUo8HqBQIpwVIlAKaaKs8te95Mnsm+5wLPmnxe/Om14GVz782dy3ouvrs9r/H2kJorHLIN8QyfQ1T1RpGDee4BZ3dXpG5dQyLduW/ftvIfnnbycl73rX3naC19ZldVlKCNXU6r7YhYJW7IsYTGeq7Cq15zX5ms0Go1Go9FoNBrNIx1xOL+MO/3009UNN9xw2Pan0Wg0Go1Go9FoNBqN5tCjlGJ/psJUYVbOMySs7o/RTtEqu36YMNwgCI9miuTLBy5hRkxJyXt4x+rapmDdQBRZrTelFF6gyJZ8lFJM5r1HjCwctWRbMeRI3NeBJgi3wjQE28YyYRpuJEzGbUyIcwzJv/1627z1Ln70GgZSDjdun+TybeNtt3/yqhS37s40yWIbBuMMzxT57PNPxqzKg3tnily3Z4a92VCGTDoG5+y5hWUffMei5EwvEmfPzy8DwhS+zUtTeD6UPY8AiJrNmQb3TOT5844pim7A2t4Ip61IsTzhsGumSKbcLAkPxK26EDyXgbgFCEqujxA0CUz/9c9v5cpf/XARRwF37su1nF72fW7al+GO/XlsQ5BpI0oNxCxOXp5AAEf1xZsS1lvxhSvu5Yad06zsiTBZcClUfD7/uZcgOLJTPhWw85Jr287fNJTEEKKl0JOvuOzYup01L39mfVo7ifJw1UH8pq1Nn/dmC0x3SLN+IFiecuiNOAsuJ0X4zw9ay6AC8AmQan60phQQsQRKNa/rBYo792dZ2xvDrqY/pvbdz/DTLlz8gWw8lvgPfgZAfmQEnvbE5ij2Bqz/+Rr26Wc3TXOqhlnB9dk21vp+tA3R1F4C9McsJqqy2soLzuqYNOn29DPyg9+iFKy+4Czg4K+1zbt3HeQWOnOoEokF4OiIGU2VQEHFh8l8hat2THDehkEcS3LvaLb+3B7JFhnr0CEEYE1vlIRlLXr/4fUoKHnNV/eSlEPMMesSsCFDWbn2TKnJvAebHrwQtXRlUOyZKNDNK2DUkodEEAaYyJbJlOY/iyaKZVw/YDDuIBA4pmD3TLHeBv7p189gf3S8pRw8F6uiWDJt89Z/vAmAfMVjotCcVr9pKMGdozkMAev74tiGwXSpwt7MbOfSvqjFQMziUccsZ1m5wjNjCdYYJh6KLW6FXxTzTM1JE37Hp77MWU96+uw2YhamgNG8S2/UZLrokozYPO6oAQAiuu3SaDQajUaj0Wg0jzCEEDcqpU5vNU//iqTRaDQajUaj0Wg0Go1mUYRD2Vrkyv5sWpRt0EmZcSzJXK2rkxxsSVjRF2v+Ml/Bnqni7FDn4uEvxiYdsy4HQ1j3liHoi4ciYdwx2DNVbh7+vYG4Y5CfIydKAaacL0y1w5TiESMh15ibzvlgs3M6T7kqxIznXaQIBbeSF5Cv+G3L+42/7eSdF2xkPDubbpqwDdYOxLAMSabksW5JgkLJI+4Y5KrXimNK7h0L09z+40/38PYnbaTkBnzg53cgBTzl5OUgBXFLsuSD71jUsSjAKM0mxfkK9mWKLE/FaPWnyvFChUvvmah/3jFVqqfxApyxMknKMQhUZzkYaJrnGKI+HDbAh/7fFzlvEYLw0cdubjvPMQxOXJLkmIE4gYId00Wu2TXT4thcIqYkX/EZyZVYnowAoumeb6SWwD6QdOhPODzvn1/0kJCDF+LO0Szr+mLEzPnn3zElLFvKzkuuZeCfXk38ztuatqmA7Clnkrr5ukNV5AXJ33wj8VNOmy1jm/TdI4FA0TFJUQGWkNSeEoYA25QESlH2FEq1Tuzc0J9ACoFlhCm445feemAFzIapv/lLfwfv/aeOi7qveQXueU8i/pnPA2AZgrKnkAJ2Txfoi4XC4WTBZfdMmf6YxbKUzUwrebvhptlTldfT//oekn+7vD4r86SnMfP2fw4/VOtw54//xOqLntBqM0cUh+oJdgRf2poHEcsQSBG++wshGExGmCpUyJa8BeVggH2ZEicutSm1SSZvh2J+ezaYtIk5JrYRvt/WECJszw4npgz7NygEK/pi7BgvLLhO2Q2YypXxlcJreC9XDT80P/NU0zRBOLqL7yvKHTpNThRcJgqhSJspefgKUo6JaQjk9Bh+vHVlxXIBS/crBJBNSkYHFL5fxq/uKm6bbJ8qNHXEMIRkadKhx7Ewqh2fGn+POGYgjiUN7nvOU/nvSIL1SQsTgVl9xznLjvCqRJo/lgp8bGaS2hvsp9/5Wn50y6wgPFlwidsGPVGTgbjDkmSEsYY0f6UeeClco9FoNBqNRqPRaB4qaEFYo9FoNBqNRqPRaDQazaKxTcmq3gj3j4dDl0esTvl7sFiNRjErwzVuoi9usT9TOYAtHtkYIkyJdX1Vlx+kgHS0859uIpbB+sEoxUpAyQ0oewGWIUhHTYQAKQQVL2Cm6JGMmARKYZuSQsVnLFshZkmyHUTtnqjJYNLmntFQcojbkrKnHhxh+DCe8EOxq4OtoUrgU6j4jGRLzHW5A0U9+a1ngWvknpEczzh5KZYUKODO4Sxb9mXpj9tsXtvLlKvAMDh6TR89tkQpMITgj1tGgHAo5/+8/D5u2T1T3/dvbt4HuRyf+cabFl1XtWRLSwrc6nU0lncZy89w0tIUXqAoegFR06DsB/zfbSMdt3f9nizHDsbYvCTeUQ6eS9lXWBKWJG0KFZ/pYoWv//VuXv6Yoxdct6e3n59fdk3HZeK2Sbz6c8SQbB3NM9Mi2a8mKM+UPGZKOUwp2NgfR4pmM++e/RmyRRelFIbvcc7Rg6RL2e4O9kFGAa7rY1WfE6t7otiGQAiBBBCCmGVQ8VrdNbNX2Pj/+wrtcrCTB5DsGr9pK/lTj1vEGlVe8zK4fkv940AsQn/UAcL2u+wHDGdLD2jC/aEcFNAyBI4IO4JUfNVVeroU4XOmL2EDgviznw3vfd/id37yqeRzuQXl4DqX/4H8j39A/KIXYMjwmVl0PfJuQN4NEMCanghremNsG8sxXXDnvUvELINiZX5K8cw/f4KsgN7obLrwPBIJdl1yLf3vfiPxW2dHSjyQZ8ahSvl9IDncgqXmyKZ2OcSrndcCFV4jvTGb63ZOzntXaUVv1GRFKoZSi78DhFBU/FD6jFkGqahFxDaayvZgIgTYBpT9Fr/DtCEApotey6Tz7glwg/Zd2xqLohT185QpexRyo+xbLlANN3ukEHDB7wM2b23ui6nwycXgr48RXP6Lf+G8Z36EXMUjUJCKmEzkXRRgGjAUc5quhxWpCEuTEYIgfE7mXnQRvdvvp9+y62Jwff9VqfgJTpQ1fUO8ZnKUWou89ebrOO6UM+vLRk3JeMGl7AWs64nPHmTD9anRaDQajUaj0Wg0Gi0IazQajUaj0Wg0Go1GozlAHEvSGzOZKnjVhODuWUhuSkZbDz08XZgV7I50saYbUhGDTMknGTFZ1uPgBwo/CAUtzw+6qlcpBHHHIO60lrSjtkHUbp7nmJLeatqi5yuKrk/JDVAKcmWf3riJbchwmGYUyYhB1DLoi5vsniwREWHCZKHywAlwDyYHIq4camKmyc6pwoLCzXQ1HfMDTz+WneMFfnrjXvIN8tvPbxnmvrEct++dlUk3DiUY6I+R8xSDMYuxqkQ3U03zS4gAQ8Cxy5LcsicUg5ekHJKOSdIr8fIPvfCgZZx01CJX9uoSpVKKK7ZPcstwDoBHrU5zw575qbuNCOC4JXGWxE1KXkDMkhS6GdO7ihtApuhRrJYhkUjwo1v28fK/O57czFTLdV7xhrfyjg98tOt9ACQck6GE3VIQ3pcpMxCfbe+8QFFwfRJ2873/7Wt3E5eKaLHMdbdlSH7xMxzNkSFFdaKWcHzXcI4LT1hKOmrVkwcbqXiKiCUWnShZY9/b/4UVn/lI2LmkmxV+e/kB7QcA32dp2sHzA1xfYUhB3DExpajvfJNK4QUB2bLH3ukiI9lyx3THxXIoUxFLnqJde9fuWb28J9I0MkA8Hm+94AL0/PunmT7thMWt9LEPYTzvBZTcAFPCHZOzKZ22IUhHbKQQjGYrHDcUZ0nCBqDgBsyUKkgJuTYdY2qdL6KWJGoZVLyAXAuZeOLfv4CKWcTPPQMZzJ+/EPc87els/PWvFr1eN3R6ei3mySaFTt/UNCOqTZwUgp6oxVShwkDCQanO19XyVITBWNiJwgvCdqXiBUQtiesHLNQ0KqXIuR5R22BVOoJjGXUBNxwV48i5Vmt1pIBkxCBbWrh9sE2B17KDTPd0+r1qzmAsTdy38ydNn1fvDHjJ9wKkmv8sFUCqABf8XuH96UeMy9PZf9a5QDhCQ6SaPh8EAtMAv3pMAvAD1Xyet96BQdghrR0RKdlgWbwukeY/c+H74Adf8Rx+ePOe+jLTRRdJ+HtT0fNIOwajuTJDyUgoCLevFo1Go9FoNBqNRqN5RKEFYY1Go9FoNBqNRqPRaDQHTCpq4lgSa5HjUKsO32QPJW3ikdZ/suhP2OybLgEgHhL5e82koyZlLyBmG/TETGxD0OcGdYHXkAJDCmzz8I3rbRqCpGGSjISfh1oss7I3Uv95eU/48+6p0mEo3YPDkSCaKFQ9TS4UciAVsfCCAMeUBCqcli35lP2AkhewpCfCP52/kal8hZ/dvI+91XO0c6LI8nSEpWmHYsVnSTrCSx+1msGETdI2yVd8/vuv95OrBATA1EyJE1em2TddJGIKSp5if6ZMPreTt3z1nfUyHdhxhYznK6Qcg5IHgVLcN1liz0y5vtw1uzrLwev7oqzucerlyFd8DAH9sQ7pn3OwJFRapGF//co7ABjbfh+//dHX6V+5jnOf8QKW9adZmYp2tW0I68g2BYYQPGXjALum98yTRG/fn+fJG3rracrQ3KrtGs1w+W37uOxv9xAEsHYwzo6xPP+++/quy3Ek8I4nH83eyWJLObhGyVXzUhS7vRe9J13IzPVXkf7zH9tKwvXpb3k78aVLuy/8XIQganf+s7oQYBkGfTGDvpjDCYTJ6+O5MtsnC0zkKx3XX7AIh0kNn5tJaUlY0RdrmY4ph4YIRke737iUeL5CeeH9upgjymRzpFIJto03p2gfM5hEECYL/11lBP9J/0AQhBddFIg6DvziUlYNDmIIwT0TOcotemEU3YCiG3RMaA+UIvv9X5J+wYWLKHlI+dZb5007HG80i9n+YXwN0TyEkCJMoB1MOOzPlhhIOOyeLtBqYAlTCo4bShIEzBt5QgGFil+9JtW81HwI7zFfKUZzJTYvS9ETm33mSwGGDP8/0qjV0UDCIVsqLLwCYJqiTYp+F/ur7bANnQb9SCRWE4yFPw+NBLz0uwEL3foSsHywPvhuuOTa+vSSF5CodlZUCqJW+K4aqABTylAaDhTTjz4D6CwH14gIyXNjCb6cm6ECKDX7EmEbgnW9MW7bn+OqndP8RUzz5KP7KHgBQ8kIvgJTHRnv9BqNRqPRaDQajUbzYKMFYY1Go9FoNBqNRqPRaDQHTMw2MKRELVJWklIQs2U9gbY/bmEZEseSSNn+q2nHMliSchAiTB/rZij0I4WYLVmWtueJVXPTfY90zOp4vb0xk+GZg5PcFsVhcsEjppwnshwIByskVKomZdIxMISg6PnMFF0CIFueTaQTwEDMqu5QkSl5RByTF529mjt2z7BzokC25AKC+8cKOKbg6SctZ33/bOKnbUquv2+SnphFwjFxPcVtIxkGEzbpqI0amWJJf4J3fO7g5OAa7sAgAJmyT9w2uOL+aXIVn5Vph56IxdbRXFvXZWnS5uiBaEuxxK+mf/bHLKaKbkcpBsIE4XZ9G0wpWHfs0bzsXbNpwfmyz1ihjB+EnRxiF12APT42u9LFr2Dw7e/+/+zdd3xkV3338c85t05V12r72l73gm1sTO9gOgktCSGUkAIkIY0n7UklBRICCTwJhBASEnovIRBCMT0YbLCNwX27vU1dU287zx93ZjQjzUgj7a6tXf/efslazdxy7p2ZO0ea7/kdDBDGaSC03lad9WcuneDff3Bf66mcdy22DfgMZR2GfAetNNUo5uh8la/vv4+3fvKHlJZUHd53vEzWs3FOo8BL/nnPw7YUfh8Vnq2lQac1vBRn/+AvmX3CU9nxZ7/T9f4ERelf3s/mKy7HszWjBZc7+998i3/NNdiaRvBp8XZbL05nbkgDUs1lDApbKyaKGSaKGYwxLNRC9k5XODhbXUcr7h/tx5fzNONFn15XgItuvIFbt+/oe9vqc9dRrqQVw9f8dH75izEf/wy7BnOta61SaXsr9ZDo4ZemAyvatm0A6nV42uMpOS6D199ExrGox8srezeV693vG8rYzFQjGBil2DyetR7DEs0A+6l+q+tnH5bamMFL8cCzNMQxbB3I8M09k5wzmme+tnxQznjOZaLg9xwUEpuEuybLxMZw1nCG7JJE+nw94N75Ghh43Llj5BqDMmzd+317o7Ab5wilOGssS7kWcWyhd385ig22Vmhg6enSba/FOFn+2m1W521yLYUBksSkAVkNm3I+m3I+pvHb2u2TC2Qdi4V6xNbxx5O79S8pFeB5n076vo41ryNbXvY8rE9/jigxBFFClBi0MgQxHe/lmwc8rMYDN1ta6LrNlTzOz/DFWvpeedlEetVNGudj12CGb++fw7U1WinmaiHlekjOc4gScE6vX7OEEEIIIYQQ4pSQgLAQQgghhBBCCCFOiKXVqtMDL6fIuBZxAluGegeOusl66Z8zkqS/KqEbRcG3u1ZdPF0NZh2C2DBVOr0eh9XESXJSyo2tNN3zahSwd7rctRruaM5NN94Iybu2ZrK8/DGo1CL+64dHO267YvsAc9WQS7YUO26/+1iJqXLAzuEMWisMhp3DGTIYPv31uwF42Le+guLEQ3DpAS6me0r1iPPGstx2rMx43uWR24cYyTp8be9MxyoDvs0lm3I4mlVfR1OVkJxrYYxZNZDq25py0DkFuK0VGUd3BLEBfEdjDOSfeDU6Tu/reJjf868cf8+/wuOeSO7v/nHZvjxbU/As5usxQ77Nz12xpREgNejGMeUdm9B3uOfQLKVaxEDOYaTgMZzzcBv7ty3NvpEdXHDs7hWPbaPY9da/B5YHn7pZ9rpZ6xPuEY/jQKOiYf7f/wn/1pupXv0oyi96SWuRURNz9lAOUKihIczMTI+NdXfJJz/S+ndiGi/HJYFK1fhfM5fUDAvHje9KKYoZl4dsdbl0ywBH5qrccnhuHe+lp1az2v9wzmEg67DaA3LW7bex94ILV9/wv3+I7Pg4937+cwysp2HHj5AYsNsGFEVxzC994Eb+7u9e0vVa1f6zDgNmr7yYyhevXwz7dhEmMJx1sLUiaXtyaqUYzjrUwxidy0G5vOZDKB05Qn5JJev7IyTc3Hav/SikerDorfna8h2LTQWPGw/OtAY0tS9T8Gzm6xGxSVqDrlytsRszZYRxWh0Y0hkFthftxswJCfU44b75GlsHMlyyuYjVeJ271ukRXFcqbWuUQGIUOd/hLN9mrhIyvaS/1qyaHzRDwsoQtXU9HEs1BhqlFXmXDox0bU0YJ8wHAcaAb1t4ltW2fuc6tgX1yODbafvcTI6haYNfNYxOre0tVwHu0XvJuW7H7Uu6VABMlwPGih7r6UV6SrHVSn/3y+WLy0LnQ77D5oLL4YWAz94+hQa2Dma5YNzpeI8WQgghhBBCiAczCQgLIYQQQgghhBDihKz3w3pHa7YMrR446uk0+rDX0pA7zSoF9yPnWpTsGKWgdhpVc15JmEDGScMr9zfdSN5Ml+vUY0N9SThYAeUg6gyI1JcnMUZzLrfOLK9KWq0GzE2W+Icv3c6fP/9yPDt9Tg5kbM4fcFGJAa2JE0OcGIIo4sLtg9x2cJY/v+3DJ+04neOLwWWlFJvyDjsHhwliQz2OOG84w6H5GvdMVfFszUM258naqiMYPJJ1SIzpGewrBzGWTkN805XeIfaMY3UEhK0e4WCASpgw+qSrVwxKG0B97SuUf/YF5N7/sc7jtjRP3j3Cj46V2DmYaVVn1W3HlSQJYRhzaLKMpRVz5ZBqPWahEnJ8vg7Aw88b47WXvpL/+fLv9zyujSL71Kc0/mX6ukZEicG10tefSVfrmwJ2DGXYPOBT9BysN/5J69ymFX1NWwA5vf0ht97MTVvXUPU2n+/4Wa/0ZGhfT6VVWS3SsJIhrQYZm/Tx3zKYZctAhplqwI+OzDPb43ndvr37QzOIZWlFpR6jVfqabR63RqXh6MYNuWyW3Pdvo/yrvwDf/tbyDe46m9wn/gtIn+uz51++voDw0PCym6LE8Pp3vLqvgQxpdWFD/g9/k+iv37bistOVkKyTVpYPlrwvKADHWUvLFy15LjW1B3jbf+5XP8uvFEJ2LQnTid6USgPkYQJnj+T59r4pRnMuD9kygK3TKvi+rXEtzc33zTFZXn2miYV6zB1TJeLEMFHwOGskx6VbBlrBYMXp97zUjZCwMWlg1qAYyLrkPIvj83VsrYhNZ/XfZpDasxVaK6Io6eiLVsOE7JJK/PUwndngeDnAkPaNJvIZID1v9WWjThZPYnMAyNhDX0nxY+86Kb9WWZquVaNL9Zih2LRmIVmr5ln43p33LbtPKcUzzx/jB4cXqAQRBsV0uQ4mD0qRmMXq/kIIIYQQQgjxYCUBYSGEEEIIIYQQQpwQrcDRaSWqtQRZMt6J/VnidPms17EU24Z8POfMK8mXdTW7Rny0Vtw7U2O+1qVs2GmoHiXoxnT19yetFLcenaNXNtmx1LLqcUuN5hwmy0EjsNfJ1Yo9h2bZe+8cW4by/MZTzwdgJOeRyXkMFH0sDVoZ5qsRsXHIjyZwcPakVQ9uBtNGXv+7lF//JoI4oRYmrfDonukKOwczPGbnEHnXYtjvngqqhgmVMGY461CqR8uCe5AGb6Yr4bIKoWm11zTkGCcGz9Io1az6p5mrdQ9nbvuJJ656Hlr33fYjynffTW737o77txR8thR8IA0B1cKkI/istGZ8MEc9Mly1e5SXPfE87jk8z+XnjPCKt36NKDbMlOoUMg4xaeB0w14LLYuz3/1uIJ3uvB+tSpO2IojMqoEw39ZcMF5gNO/iO73PRlrRt/t9E3/0+xz58zf01b6H3vXjvpZbiVKNgKoFdqOqcJyAUYqhrMejzx6lHiXsmSxxz1TlhPe37nay+J5+fGHlkJ9na7YM+cxX0zB+7h/+ZdXtl8KoFZJtVs7t2z+9Z9lNvmNTrK1t6vrC9d9iKjGM512Olbofo2ulgxOWVkltedkr4a1vXtN+AfI9AsJN7a+YE6kq3Ou8drvd1qdXCFM8MCyd9o9yns0Tzh2DRmV7gCJO6/n68F3DzFQCrt8/vWp19E15l8u2DLa2A4vVrLU6fZ+XSoFjQRin58SxLDYPZZmrBMuqCTelFYO7v+KX3lpPYo71CGEb0mtzt8E5YZzw/750D0GUAI/lDTe9q+9jWokGev0mUK6HDGS9NW+zbgz7onDF2SOGMg7XbC8SRQmubVOJQo6V6owX/DQgvOa9CiGEEEIIIcSZRQLCQgghhBBCCCGEOGFW4wP8qFER8f6gNm4sroNjKfwzMBwMadUupSAxhlI9ZuugRzmIma2sXP1yPTxHM5RbnMa4bbb3NQVHTI/n50w5wHQJZKxWxdRpTA/dvpzBtELGi7e1tRfYN1duVHZTi4FBpRjJuZTqMajFqbzbj893VGsbtlZMtVXHHck5TDYCJ46luGxrkYmCy6HJMnfP1DlwZJ5dWwY4d8sABsNvfeQmpo/Mse/oAi9+6vnMxorIJBxbCLjrWBlbwyVbikxPFHqfgHXKffurTHVJDA1lHY6WAsAwnFnhT5eNczJdCXEsxWDG7lp1dTTnMFUOOwJ2xkBsDDEw0wg0NisNW0pha9UKqrazauW1HeRPPQdu7B4oTYzh7qkK1TBmJOeilWLQc1qvqTe94hoc20IpxeXnjAHw/Efs4gs3HeKO++Z5xPlj/Mbz/ob/94nfITYGa6OlpwYHueSHt7R+XOgRuu4lPZ7uLzxLw7ljebYNZJaFgi3VO0xmGmHcxCwGLi0F217zavzdu9n3slf2bI8eKHLl7beu6Rj6oRTYjerCSat9Cs+2uHBigPM3FZkq17lnstxRiVPfD4+332U6+17qUcKxuRqVoL/ljTGN1zkk2kInaxtckpuYYKYWMpxxWtf0ynvfs6ZeQfM54DuaqXLAaM7tWu0061orVnQuvPwXWFhHQHgtmgHqbkHq1bpc3e5XXe53rfXPCCEefGwNJECjyq/VqCzcrJCeXs/SQQ9Pu3CCahDz46PzHG5Uwm/aPpTh/LF861quWPyd4kx5PmoFng1JklZehnQw0lp1Ox1HS53nc2mIttcprIQJz7hkE5+66TAAuZM0FqV5PXEs1XgMFXHjSTFXiZivRrBlK9x3b9/bjDB8u17j7mNpH8y09bUNoEw6aAyjOFyqs2PAwrMs9k6VGS/4xCYdjLPRuklCCCGEEEIIcX+SgLAQQgghhBBCCCFOimaVLJ2svZrw+nZ4qndw4jKuZjTvrr7gac40Qne2pU5ZcE0rheecuhpg9fmkZ3h4JZZWHVNA98MAQdycrr5zXdtSVML+wnLjeRdLQdF3cDQca6tGF8aGizYX+eXHnc0Hvn43jprhmz+c4rLdozzjYdvJeTZf/+FBRrfl2JIJue1wifGizzXnDDNoW1xz3hjDGZucZ2FnPcz70+2eypfdcDYN80JaGbaZP1oq71lUg8VzFDbOpa0h59rYliJqPCaTPSr0LdWssFcK4lZYuN3QH/82sMbj7/GESkzC/tlKa5rwIwtpwGfBC9k2kEEZjet0/tnWGMOzH3kWT71mJ3FseM/nf8wbX/NE/u7fZviN4iDGmBWr692fdn3so+Svuab1c5IkPSsl9qIUZBxNLVw8h1uKHueOFSj4NktDwZZeHqZfvlHQZrEyeHuQePSpT2H08AFKR45w+6MeD9UqKEXhKU/i/Pe8e01tXw/VCAlbNIJ1jcE2WinG8j5jeZ/EGKYrdQ5MV096cK65uWZo2rX7Dwc3lYME39bUVisVCoQmaVXkPfivn2Dny5/bfxXhV/86KHj/TYd57oVjbB/IpG3/5MfWXokYmPrKVzHXPIqZShoSNsZQCWMsrci7FkdWqZ6stYKJLXDkvlX31Xw2W3/4p+t+zZ6svlVzO4pG321jXD7EaaLZ57fN4s/t3y3afx9QZFybh24f4t7ZKuUgZsuAT861O14Dtk6vPxvkreyk022dmijp7/rqOwrVCE5HiWldl5vvX1uLGcph1Bo9MJb1MH2GYXdvLvDqIZ93XLeXOSvDYFxd13G1MyZ9P272izWmsx9nIPfZL1G+8sK+tlczCT+q17ntaLlRWXnFvVMKYqpRhGtb1KKEuWrAQMZNQ8Jn6PNKCCGEEEIIIfpxZpavEUIIIYQQQgghxAPG0mklOvkcFgYaAcsznaUVZ49lyLoW3oPsE/guhWZPiDGm79dOGBt8x8JaEg6GtDrdLz72LJRSPPvqHdx813EefvFmrrlogoLvYCvFZbsnWJiZ5/zLz+Oa88Y4ZyKd8r6Qc7hoPMvmgosFPPqsQSpn7T65x7nk56xjMVddPIZalDCcc5atN5pzqIbJskrllSDGsTRztYipcoitFXOrVK1tf662V4+eq4a4lmK0bf/5G/+3j6NaXWwS7pleDAe3W6jHTJUDki7BYqUUu0YLJFpjuxa/8syL+cIrn8evFAfQSp1QOLj3ZObrs+/FP9vasjGG+2aWh440aQDYs1WrKjaAaykyjiaK0yCUZ2setmOIZ1w4wZXbhyn4DpBWJnQ0eNZiuLGfU6AaYWJLd18+PzHBVffczlX37eeqe/fdL+HgpXQjeOdZ6TE2g5taKUZzPlduH+LiiSJjBZfBxnuMZ2vsNSQ8tYKib7Nl0GfXaJZdYzl2jmbZMZJl86DXd3htqVqUkOmjYn45aHttTkww+fO/BvR+Hraeo5dfQe4XX8X/HpgF4D9vO87emQpgmA3WVoW4te18et2LDUyWA6YqIdUwwdGKhXrMWJfrEEDG1lw0XiCKDbnPfXnVJ2Dz2MLhEfY8+un8774pqn0OBjlVtJLKweLEqBWuvZZOK+d6Vhr8BcXWwSznjRfINyvmkwaDPSv9fqaGg5uax+f0WUG4FqbvhZUwaQwqSzUHklhKM+S5FD2XoutSj9IBU1uGMmwZymDpdBaTTOPLWnJ+c77Dyx+1kz/61X9e3wH9wquXHV/c9vZhL91h07N/ctVNx8bgoXjkddf31RStNFuKHsfLAVlbM+DZfHPvDNAIqt9PM9wIIYQQQgghxEYkFYSFEEIIIYQQQghx0jUri0XJyQ9QtvZxajZ70viOJuee+eHgJs/WGGM4vrC2SqGnu3qUoNXJe54v1LtXsO1mrhaSGPC6BE3OGctxYKpCqR7y02/8Mq947qXMV0JiFPvnqgRBzCPPGiHzmIs5vBCwqehz/niOhXrEaM6l4NkkxnDXgTnOH83gvu+j8Kgr1lWhs5vZZ7+g9e/mVOJLQ7+T5ZDRXFpV2JCGg1eqCNxe8XSlh+Pi8UKjynC6ZBAnzFSD1vqxgTg2rf1PlsOTkiwJk5h7pivEKzxZSkHESNZrneMkSZiqBQRRQjVKsJRi11CGgudw82234WayJ9Qms+R70wk9xkHAfKlKaBTztTQA6dmL1cXDxLQCwE0ZRxPEaQBKxYacZzGSt/EdDWrx+W2fYVPPr6S9qnCzSnvc+K61Ju8vf90bY4gSQxQnxImhFibUo5gwMq3qwAXfpph1sdpOomrs0FJga5stg5r9U+urJlkN05DwShWIF+qdwdjyi15C+cqr2f6rL+1a0cQA33zBq5l8xvMp3naMg3M1IC3G+V93TAKw84nP5wnve/Oa22td8pBl1x5IA9nlIFrhuaawtaJZMDl3448pP+IKqNc62t2udvZujr49Lcc+XQn5zr4prt4+RN7vHkI+FRStYqM4D4JApnjgKdUI/7ZVcLdU/wM7ziTNw+0ZnF0DrcDWqhUcdi2dVilu29tYwePAdKUV2rU1bCn6WEph6bQPqxS89knnEL81fb/pp2XNa0juNa9dcbleM2zk/uyvKGcy8JEP9FzXUorxL/wP5bGJvp8nnq3JuZooMRyar5EYKNUj8p4tVYSFEEIIIYQQD2rK3I/DJq+66ipzww033G/7E0IIIYQQQgghxAOvGQYwbeGmk6EWRhyerZ+cjZ0C545nT0oA4HRijKEcxGDSqZBnK9Gap6nvZTjnMJB1T8q2utk3WV53BjTjaqrB2o7zrqkSQdx9ndXCde1cS3VUlWs6cLzE3cfKDOZc7pupcs35Y4xlHY6WAi75P68gs/fuVhAv8nOUPvc1do3k2DtZYtdIHq3huj3TXLYpx5FSgG9rai/7WTYfuANYf4C02dL9/71YEW5T3iU2hnqULAsOAgxnHaIkYaEWs2Mwg2tp7poqr7ifXiHriYLHSMbrbJNJuHu63PU8AoxkHbznPAVndmrNx537/m1AGg6+a7K8aqXeAd9mS8FHN0KxQRx3PVa/XiH/7MeR1+ufIM4Asbb4n9e+kYue9lgAsgfuZuyXfvbEQ+APuZzcv30Qx1JEienrteU7moJvk3VtdCOVqVgMyj4Yw2TdGNP4ovFl2oLepns43hjTCnQ1q03rZmiPxfMaJ41Ki0A9jLlvttZla/3xbU0t6n4dKwUh1ShGK8VMNaTeWM63LT5/5xRXve/vmdjzY+ZHJ/j6S38HGlV+V/Py11wLrO36NP/17y+7VmQdjVaKUqMqcRoEXn5ms47FOcO5Zf2a8nOfCgcP0jz6+cc+mdk/+Muu+3csxUO3DjGSd1uPTaVSYe9Dr8KUSh3LWhObuPB731vD0S1qnhMDrQrc8noS4v4VNa6xSZKsexBGk2Mp4ti0rjNjBbfrYIMwijk00/1abluwd6bcGsyz/WnXtPqG3S4P7YOK5r56IzsGsh3XP0fD0u7raN6lEkQkJt1mbAxBlK6kgYU//D/wuc92rDP2T+9k0zOfjjGG2UpINYhb7xMrsbThaKnO1qLP/pkqk5WAkbzPI3cNA2mlarnuCSGEEEIIIc5USqkbjTFXdbtPKggLIYQQQgghhBDilGpV32tUQoyT5R8er8dG/nx3I7ftVFJKkfcW/9yUdS32TFZPuPiqa6lT/4H+CbSxHiTrCAn33mE1TMi7ViuctpIgNuQ9i9KSYO10OSRX8KkkkPNsCo5m80ufy85jR5Ztw66VGXziVUxpzR3//j8UfYftQ1kevWuIgzNlZqohx8oB//3Tf8Kr3v177Jo60Gp9e+is/eeVjri6+/zWbcON0DJAwbMY8NPKxZ6tiRPDTDVqhfe0gmoUU49jPFuvGBZpVqv1bd32nDRsynksXS0ypmc4GGCqErLpQ5/CfdpjVji6lR0p1ft6immlqMcJGTuN6LiWxbYBn0NzS8I9132R3BpfFK2QqNLUM1muf8Sz+a/Ln84jL9lKzrUoBzGVHbvTZTnB69jNN1H+p/9H7lW/tuJiWkExY5P3HBx7MeysSKen18AJZKDPSGqVoHQrPNwYkJMGiVVbQLhRmbjLebV0unyUgOdY7BrNEkQJx+Zry143zeVH8i6enQZqlVKt502cGGYqAQu15dexvOuQd9MgW8G1OVauM1eLqKRlvbnhJb/R9dhcS6FIXyPdzI1MMDC1/BrXi/O8F7Iln2FzwedHRxdat2cci/laxEijgnnBs5mpLh9wUAljSmFE1u78mCX36f8BYKpS50hp5YFMYWy4a3IBWxcZzLnc+YxnEvzwh12XjY8c5dbtOyj85E+w821vW3G77U+RZpi8ebuEg4V4YFgKIkBrxbZhn7lK2PUa2de2tOqo0Ht8ISDv2yx993ZszXjR5dh8sHwjbZX+R7MO9W/+APuJD8cNul+3FFDeuo3qez9FqRahBlnWnS14FsMFr636ugJlmGzMMJJxNJ4Ned+mmHE58FdvIv6LN2FrWu8zFWCqVGcw4zCYdbCU6Ssg7GhN0XcAxeaiz1Q1JIgiojjBtrRUERZCCCGEEEI8aElAWAghhBBCCCGEEPerZuW6k1RYdkMazjsPuurB3bi25qzRDFFsCOKEcj1ecxBCkQao7sdJsNYsAapBsqbKv4sTvXfnO7qvgDBAFBs8W1GPFrenlOLoZJlzNhc5uGA452eeit2oRtnrmamThIf93JO585Pf4L7vfYM/fckL2RtHVI1BAwWl+X2tecNXf8TWn3kaThR1HEH7v5fuo3lfODjCsX/4DyANicy1he7aqwdXgpiMqyl4FkoptErDs+UgphzEjOacFcMi9SjBsRRhnDBZXgzFbC1mli07VekSmlniKC67Vl2qk/38FwIQm4T5WtTXOlFi8C2r47ai67Apn1AOY4xJz9vxPfvWHOJVSnEoDPjSu67jnOEMIxmLF9YjZkPD5++Y4tyRLNO1kMwLXsb4x/59DVvu4Z/fDj0Cwp6tGcjYZDy7FeaGxeCqlsvnuinVeF40BuWslaUAnQ7mQSk8x2LbcJZ9k5WO5XaOZhuPU/cHy7YUowWPhVql6/1NrmWxrZhlSyGNsX5tz+yyZbKO5qJNeS6fKOBZmmoUM1ePKQcRpSCmVI+YrUVc96b389yffxK9W9XG9yn+6Z9TiwwYxUMmitw+uYBCMdUYlDBdCRnOOgRR0vOKvW+6wu7RHFnHgkYgu5lfdu3+0u1TlZDJSo0jP/V8oh7h4HYLn/wUh3J5tr3hr1Zcrr29WipxC/GAaw7QiI3CsSxGCxYjecNUqb7m/nH/75Oq4322XZQYLh4vYmlF3CwF/J2biEzCPW/8ayY++h8oILEsjv/z+7jgoZeTS9L36f2zFe6aLHHeWJ7G2A4srRgteiy9AkdtQeZmP7leCgmiBGPS82JrTZQs9uvmqxGOVgxkXYpZl2qQUFmljx3EhmOlOvN2SC1KyDoKSyn2T5c5Z6xAlKTnX66BQgghhBBCiAcbZe7HT1euuuoqc8MNN9xv+xNCCCGEEEIIIcTGZEwaEO4yY3ffTnT681Pp7LEMXp/BoAeb/VNVKksq7e6frbB9INM1wKBJA7jDOYeBrHvK2rXvePlEigi3ZBxNLUxW3dZdUwsrVq21NcSGVYPROdci41iEccJcWwj1lv2z/M+Pj3HZtiIXfuuzPPpT7+o7TPqXs5N8ulbteQxZFJvPvYxr//qDAFwwluX242kI8EWvewHZysKydQww/TOvoPSyVwFpQMN30qq1vQz4dscxtfNtTc61CGJDJYwXgy2N+2o9wsMXjufRLL42E5NwvBJ0hIh70UePsONlz111uabhW24njA0ztWB5BeCmb36V7X/xuyy9WiiAoWFyX/4WAIfmK61zYQx894Y7ecEfvgRrDSkXYwyTScy3/uNrzFQjLpvIs6XoYmlFJYiphGmIfyxn47765Wzed/tiW9brwkvJvf8jrR89WzOUc/CdNPjd3L6tJbi4EUXJYkXHahBxZC6tKunZmi1Dy8P27ZqB2oVqwGRpefXdXo6W63zv0Bz7ZmpsLrhcuaXIzsFMo/rx6k+QODHUHv4QiFbY58Aguev+d9m1wtaKQ/OVVkC43XDWaVUzX8lo1mGikMGYNER3y5H5VdcBKHo2w094aF/LNl1y8EBfyzm6e8VoIcQDIzHpQIJmN9AYs2wQxkoyjsYYOq5fCtg+ksHqUnY/jGMOTXf2QxwNduN3lVqYdPQ3oyThjsnSsu1cOlEkSQBlWlXXPUuxpeizKe+T9218d3ldqoNTFaIuv/RZenFAxdLbbZ2Ge0eLfhpgjhMOTFe7nQ4AEmPYM1MmiBIGMw4z1ZChjM1MNWIi73L59iFsrbEV2OsZPSOEEEIIIYQQG5xS6kZjzFXd7pMKwkIIIYQQQgghhLjfqUYV4fr6ZtXd8CTj1tvmAY97jnd+wH/zkRJFz2Eo43Tc7lgKS0EtMqfNOa2GCY4FxqiuYYh+RQmM5hwmyysH0jKO7hpuvWj7AKFSxMCjPvWuvvf7ufICltK8aXCUjFIcT2L+s1rmxrbppisY9t91M9e98bX84pveRdh2nB/524+l/zhyhCu+/ilGH3IJ0dOftWw/A5mVw3bDWYfZau/7a1FClKSBlqXbyntWz4Cwa+lWpTuAWhz3FQ4GSDZNcPDN72T7b//yygsqRe7GH1OPDL6jOFrqPlX35uc8DjdIAztdn98z05SvvBCAwcYXpKHLO17x+xyJI7ZYdl+hyeZ61QuvalUdvOVIicTkuPVomWvPG8Y+eoTzf/55WHHctTL0ul6Dty1WQx3Nu+T9xfZqtRgMFhuTrZvVLiHj2mwdUhybrzMx4PW9jbzvrCkgvCnn8dwLx7ljsszu4dya22xpRe67t1CpVDDXPg7KbSG3iQlyn7sOANdSy64TUWLYUvC7BoSrYUzBtVkIVq4GPlkJmSik4ek4gZxjUQ5X7+wUfnr5dXI1+1/7Wna+7W0rLqOQcLAQG41WoC3QSTpgUinFrtEsAEEUc99s935DUxgnLO3mGGChFjG4bDCd4WiXAZWm8d4bRQkz1SCt+p51qYWm52Cd++arbM5nWlXXUQqMQavulYMhDT97jibq8ktfnNAx+4alQGsIYxoDvwyTC3XGix7WCp2FxBj2zpRbM0sYDLZWGNK+dCWIuHe2ys7hHGfwBDZCCCGEEEII0ZMEhIUQQgghhBBCCPGAaIaEo6T7tN2nsyg2dCmgJUinXB8rOBxfWAxgTRRc8p5F1tGEcYJSCt0IBjeX8pzTp9xXGEPGWS0g3H3C+qGMs6Yqqgv17mE1W2vmI9PaUz+bjJOEJ2ZzPN5AtlGBLjGGJ3gZ5k3C/52d4pYwDdNGwNHvfYW7p6rsGPSXb2xigh+86FU8affQslLhI1mnawCv3XQlxLXUilWWm+GY2WrIYMZmtpqei2jJOkXfplSP0maYzvMerrD9buKLL+fgF65n+//9Feg2U9pb/pHc45+IMYYgiZmsRBR9m6klQe/xlzx75XDwEkuXufbf3kCJNPzSz/rGGCpJwpd/468ZbltjvhHY2fSUh6Eb5QPbt7k0KLzeLO9YwSXvpwMArEYwWKoFnx6UAov0Ne/amm3DGUA1KvquPhOAUoqdo1mmS3UWav2NCnK0Xlc4uF02m4VvfC/dnqVIEoNSi9dlrYEuzUmM4tKJIndOLlCPFg/u7OEctlLc3EdFYEsposbrabzgsXd69cqg9tHDfRxVp4VPfgr1tre1XpvdHgpDWnVcXm9CbDzNgTJRslgh3XNshnIJMz0GiLUHapeKugyOShJDYiDr6NY1wmCohYYoTgiThHvn0/5I1rKxLUWvYXlTlZDxvIdGN/pgjeup6t1DUEoxmveo1Cur/r6nlFrWL6sEMdUwJutabBn0qAYx5Xrc0T80mI4BH83+4EItalVpnizX2TGUJUGRGBmcJIQQQgghhHhwkY+qhBBCCCGEEEII8YCxGtUjDWmo8kwICg9lbbLe6RNmfSAM5xzqUUKpFqMUXLIpx1jOJetq5qsxpWB5amulymEbUTVMVgxx9DoarVkWJu3F1oqcY5FzFbUwptK2r8GMzbMuGMEsLJ8iupdEKXylOhqnlSKrFFk0/zA8xm/MTPL9RjXhaZPwtbe/nif+6p9w9nCG2Bh2D/utoJpCMeTbzNUjNAqlIOtaq4aDdSN02G+gLQ16KBwNec8hTgxapSG9gcxiODfvWtx8ZA4F5FyLibxHaZVqoN3EBu59w9u5aLy4LIwM6dTchxeqaK2YrUYo0orIWilmqwFRApnJY8D6ArfN85u3baajiGHLWrGKsDGGGJg99/LWz02H52u87DXX9gyRdwsKr5WtFTmv88/QElY8vSwO6EkfOKtRWbgZEI6SNIRq6fQ503xZNJ9qWilGCz6jBUMtiJkuh61Kj+1srXAs1fO6uVYZRxPGhjA2jed4M8wG9bD3szpJ4ILRArccmW899/dNVxjPe+Rdq+t7VJMiHVjRVDjFo4XMku/t7WjeFiVwGo2xEeJBQymwG92u9sueZ3cv+51xdMd7+FJpaHYxrBtECXOVAK1VRx/RthT3TJfYWvQ7qqJP1+qMZv2Oa9hS90yVOW+00Lq+241ry3Q5wLdVY/aEtP1R3AwhG4ZzTqtl1TChEsRYCrKeRcG3QSmCMG6Fe5s0UK6G1MOYWpBQi5J0+239r7jHSJXYLPYpwzhhuhIwkvOIk7SCsxBCCCGEEEI8WEhAWAghhBBCCCGEEA+oZh7RtdIQS/8FPTdenPicsQyOJcm31Wil2DroE8ZJWt1rHspBTDmI6DYTu2Mp9KkOCPcqv3gCqmGCayuCqMuGexzOVDlkNOegGlG2ehQTJwZba+JGGsNSCoPB0YrpRpDC0gpbKyylKPg2CpitxnQ9oT04q6Q2M0rzlsFRnnb8PmqNtsxf91G2/9+/ouBZbCt6VDr2Z4iNaVSDS5f3bI2GnlM8D2Uc5mshwxmH2Vp/Qem07eA7NjPVdJ0B3yZOEibbwtbNUJ9p/Pvu6QoDvs1ozsEYmK1FPUMmS4Wx4bZj81w4VmxVJI1NGj45Vk6rLI9mndb+phuh6NGcA7/+KmD91Xib6xpg2LaZiiNGGkmXpUFhYwwRhpmRbXzxdX+btrPtGJ/6+lf3VWH6RF4eW4cyHe2KDdhS0fS0Y+n0aymt0vfvjmUb3xOTfhnTfG9X+K7NFtciSQxH5+vUw6T13LL1yQkHe/ZiOK4VVia9dibG4Nm9B280RQlkHYty45pWDmP2zlQYyTkrBoQNjed2Y79xYzuVNVyLT0Rz1+1VhWMDllTMFGLD0moxyAqQcW22DCrum621lvHttAJ6OmCu+ztyPUo4Oltj06CPMTBfCSjVl197jEkr7t6zpLp5JUzSAHKfIWSt0sBwKYgZzNjsGMgS97i0WkoxUvAAyCWGMEoIopiC76CUSmdeCCNcC6zGLBZRkvYhS0GCHZlWf0stOf6VBklZWpPESTqYJY4bg6aU9EOEEEIIIYQQDyoSEBZCCCGEEEIIIcSGoFRa4U43QsJ95vQ2DN/RuD0qfonuHEsznHPJOBZH5+tUu+RB857FaMFb8cP/jcxS3YMcK2QvmCyHjOScVuXbkayzrOqurdOSnpZKXy/N0GeEoV4O0iAqQD5/Uo6jSQHX+lk+XS0D6b73zdSwFWwpuMuWLS8J0s3VIgZ8m4Va1BEStrRiwLOZbjwJprs9GXq4aLxAJYw4Wq527GfQtym4iuGsy/7Zatd152ppwDrraHxbY2nFfG31qsIKOHc0T5QYEpOwEETcO1freKRrXSqkTpZDdnz/u30f22ptMIC68HL2DE8w/u0v4KNb4czAGByted+fvg/Gx1vrRXHCSNZmphIxdt+ek9KWXvSmTcvC/VpJKOfBohl6gzQUnpjm+3s66GNiwGemVGehHuPamtpJqhys1fKgsW/r1muy3/5Ft+dpqY/rw0w1ZNB3Wvs5dyTHzUfmV1xnsebnGujlfQ7T499BDJ4lrz0hNiLVGGiRmPS1CrQGHKZVgxf7FN3GIbqWas20ERnDoekqGddioUs4GNKBC0XPZr7eeT1bqEf8+PgCWWfl32fuW6i1Bj41jWbdnuFgraCYWfw42tIKy7Xw20aXGGMo1ROipNHAJRxLtQLCS4ctJab3e8ePj5Y4dzSLb2sOz9VxLIvhnCeV1YUQQgghhBAPKhIQFkIIIYQQQgghxIZi6bT6oGlWHmSxAuGSelEPSPt66TUdsFhdxrXYNZpl72R1WUAsSsz9Eg4+BQWEYcVt9r5H0xkgXhoOhrRC7lQlZNC3matFK7Z9XcGzHrJa8+JsoRUQ1kDWJEwMZlrhFIC8axEb07VKZzMkPN/W7qJnrSkU3NzHOSM56lHCVCVYdv9sLWI05/YViKtFCb6tiWLTUcWvmwHfZtdgjiBOqMUhh2ZrhF1WKAVxR9C73cl8Rg/deSufefubyb7yd5koeCgFe6aqnDOS5e6pyrLlR/IuB2frUCqtqS2tQPIa2nbRDZ1haAWskjsSZyil0mCbRXO69/TGobxHOaictHAw0Khavnz/Tf1W0u12HajHhoyzcgXig3NVhrMuSaMdhnQgg2UpvMZAhOaU9/UwYb4eUn7Biyl87AP9NazhrI99tK/lmq/dIE4DcQoJCguxEenGdTI2oLWi4Fss1DpDvpHpHPDgWOnre+k1KayuPJhhPO8uCwg3NS99zd9t0t/JFiv4ztcizhrOYKn0/tgkeJYm4zQGeqh0gFycGHKeJu87uLa1Yl9Va83mAZ/Dc7W2IHDb8fRIHxtjOLxQ77ndepzOuDHgOVhacbxUZyjrShVhIYQQQgghxIOKBISFEEIIIYQQQgixITXDRE3tgcnYQLTBQmYjzYqtYt12DPvM1yLmqxGVIA0C6NP8k/s4Ma2wR7vVAr29ghBN9UYwZLYWkXE0WcdCKVioRYSJaW3f0Qr96MfDN7+6ziNYbpO1WHLNxvCNOyd5zRPOalULtrXCtfSKgd+5WsRgxmaumoaE1xoC3zGYYcBziGIoBVHPKnmT5QCt3FUD4IlJp9bOOHrFcPCuoQx5x6Ychtw3X6cSdt9v01Q5RKnO69fJvHS1n7VKmLBnerFS8mQlIO9qSkHnc6kZNrrsix9e1z5XCwk379cPvZLmFOTtoeDT/CUtTgLdqJYZNELCW4cy7J/qXuV7LRRptc3KkqCcozvDc7UowbN16zrafWOm5+s761grBoQvmygSNS76uUYVfEuplQeh/N0buXWNAeHc1Vf3tZxp+x7EiwFhS0lFbyE2msQ0Q/2K0YLPaN5QC2OmyyH1KCGKDREGz1aEsUkHW6xjiFvO7f3xsDGGi8YKHX2zxBjCJCExCa5tUXBtXEszVQmwsYhN2jc1jeZExmBpGCl4aKX7GmDk2JpCxmamy8CqKEkrJQdxeoJcW6Eaty/UYwymte/Wvhp9u6xrkfdsDJCxNbUgIuM5UkVYCCGEEEII8aCxwT5KE0IIIYQQQgghhOhOqcUvW0PO1Vgb6C8b987WKPcIKYr+WFoxlHXYMeyzdchjJOcwWvAe6GZ1lXE0nr16qqpbJcvVGOioxruUUml12qZqmDBVCZksh9RjQ2LS4NdEweOc4Ry5t71jzW1YSTMWp4Hc738GgFvvnWc462BrxXDWYaa2ejXg2WrEYMYh62gWaitXumuyFFy6qUjBdVpBXluvfCE4VgoYzvYX4Hd7XFRcS3HZRJGc42AU3D1VWTUcDGlA22k8lrZWnDeaB+vk1Wwwja/n//6Ll903W43YXPQZythkHY1va0ayDnEjrZzotadims/K5n6XtqW5jHX11Vz0qU+1wsHt128hIH0uuI1qtlprdo5kOqagXw/HUsvCwQC21fnEMwZiY/Cd3k/Ig7O9A8vTlbBn0O3C8TxxWkCTgYzNSN7re6DLWZ/4eF/LAZx9x+19L7tUc2aGMIF6nAbshBAbg1ZL3l+Vwndtxgpux3L1yKw4oOlEGBRKKXxHkXHSysA518K3LAZ9FwuN71gM5lxuP17iyEKNyUqdUtjZ99s6mEEr3bbd1b9Wyjo3+8bVICGIDPXIECcwmnP53/3z7Jmuce98wN1TVb65b467pqsYYzheTgceDmcdLL04KC02nQO4hBBCCCGEEOJMtYE+RhNCCCGEEEIIIYRYm+3DPgX/gS/95NoKrRSJfMp8UiilKHg2gzl3xaDsA8v0PU2963T5E9wqT5Vumx7wbYazDkMZh9EeFauNMZSDhFI94chCndsnS9y7UMH63g97pjPX+qw9EKUBkO3KIp/PA/CY80Yp1SMcS3GsFDCU6S+QO1cLqUWGYJWKyQDDGYdLNg0sC8T4tsazNK6l8G3d9TCnKmHPc9auW6B7U97jgrECrSaaNCzcz+MfJoain+53NOfiac25d921+oproIDC3BQvf821vOw110Kp1LpvshwQJYZKmFCL0iD5WC4NGQ2+8pXr3uf3H/WsZaEeBVAscsnBA1z8yY/jWo0A6EZ9CYsH3NKQ8Eje46zRLJsHPXJef+/tvqNbAfhe1zLT5YoaxYZamFa4zDh6WRXJ+XrvQQsjOafrvlxLYaHJuhZbhzMM5701vYflrr6as7/0xVWXO/uO28lms31vt0nR/b0lSiQkJ8RGYevOGVSaKsHJHoSoOGs4y87BDJsLHpuL6deWosd4zm0tUw2T1pchDTDnXE0UJyilePJ5Yzx02xA7B3KMZRcH9RU8i3oUE68xxWyAjNv9o+swSbr2vbYUfOLEcO9cnT3TVY4sBI1qwRaVMOF/98+yfTiD59iMFn1cS1EP02v8OsbxCSGEEEIIIcRp5+SVqxBCCCGEEEIIIYS4HymlyDgWmwc0cVKjEty/JfCUSitZOVoxknco+PJnlpOpOf35qaqOdqIS03/b6kHSmC76xESJYa6t0u5QxiExi9G3hXrEndN1DszWeNp5w63lZqsRs9WIc7/7Q9SeOwh++gVgzLraU04S3lteYFxpJv7qywC8/FE7qTcTFo3v1T6q62YczW3HKuydqbFryGfXkN+zKufukSy+ZRN1OemW0gxnHaYrAbUoYSTrECaGUj3qeIwmy2lIeLLL1NWQVlLIurpVGVgBF44XUCiW5pfjBC6dKPLjo/N0KVjaVZQYtg37WNbJG9TQ7Xy9/Heez3v++N/Zfv5OFuoxC0sqm1tacdlEDq8RmO5n2u+m5um85Wd/jVt+9tc4azjDT14ywdYBv9Uex6Lv8LwQzZBwYtLLR4LCd2x8xwYMxkA9ijk8W1+2rm9rav28AFdIv8YJVJN0G46lsPt48k51uYZolV4vMo7NSN5tVajslyI9F4ULzueKew9Q+eEPueNZz4Wocc3PZDjn298iMzq64jZWuq6333cy3pOEECefUo330YSO/sXJfl+NYkPWtvGdzutoxtFUGz9322U1TKuvx7EhjhOiyFCLIhaCtLL6zuEcC7WIME44Oh9g6YC8Z1PMONh9TP2igHqY4NoKBQTRYn81ihsBaq06BnQZAw/fMci3D8x2bGvvTJXtAx4H5+pMlgM2F32MUczUAu6brXHx5iIRGktmOBBCCCGEEEKc4eSTKyGEEEIIIYQQQpzWLK3YOZIhjBOqQcJkKcC1NKV6fErDL5sKLoNZm8SwgavcilOlHhmcbiXeukjoDFysVzmIcazFUMRMtTOkFsaGA7O1nusbwD33IpwbfwykAZRjpTrWoy5Hs3pINDGGqjEcDgP+/saDlMoB9xwvM1r0li2bc60VjzfjWHz5nmnqUXos+2ZqxAZ2D/sdy9lacdF4Wr231+s5TGKCOGEw43C0FDBVSc/LUMYmjA1RYqhFaVsmyyEjWae1TLuh7GJ4eMC32TWY6xpIbu03MgxkXEpBtGJIUQHnjOTwtCZKwLIMlxzcz63bd/ZcZ72aob+Xv/5lfPF9X2W2LVCedTRDcZ2H/9Tj0SYNDa8lHNxU9zLkXYtnXzTOldsG0CoN8dg6DTBJyEasVXNAiEUa9EpM8/WehvN9x+asMYtSLWJqIaD5auunar9WUIv66w2EselaRbxdxtHUo2RZ5njAtxkr+PhLSxG3aYaA2783uw9LXzeFh1zKVQf3tM5H8xKzUrD3RPo88roVYmOxdGdAOL22LPZdNDCYcwijhHqfMzFA2q9aqW/T3ilo78ctvfZoBTOVgCg2BFFCECccK9UZy3sM510qQUw1rBMnMFeNmKtGZF0LY0xr/7ZWTAxmlu0/MWkwuLkfrWgN1Eq7c2ZZv/qhW4vUopjv37fQsbmFesyOQZ9v75/myeeOEkcJ9TDGVjBVCRjL+8QGbLkGCiGEEEIIIc5gEhAWQgghhBBCCCHEGcGxNE5GU8ykf+4IogRLK+ZrEccXgmUVQE+ErRXFjI1Squs0wOLksBqBw/rJnlX5JFktSNauGiarhzLaWD3SWo7WhHH3E1LwV65Mu3SLYZwGdfd+4Xq2XXvNikHRxBgiIBfHPP5jPyTvWjja49pN+VbYtuBZuFYa2Jgsh+Rdi9KSKbFtrZivx1y3Z3bZPg7O1kgSw3kjPihFzrXI2LrxWu5ddc5Wmk05nyCJOVoKWrfPVCMUafAw51qUG22ZqoQMZWxmqlHHdmaqIUMZh5Gsg293r1bcTqm02miSGAqetaxSb1M9TvAbVYPvawtw575/G+UrL1y2/NIqn2vVDPFc+N63kvn53yQxUItinvKSJ/TcXj9B4Wa79n/yq/zu+eNk3fSYmtOhS8BQnAzNsHCTpRqVhY0i7zvkl1TrNwYmF+qUerz+LK1ITuIc8tUwWVaJfKLoccXWwdZ1qhn8bQ8DY2CFy1hPzfOhFATxyav6K9WDhdj4dNtMGkv7JNtGMkv6Run9SWKYLNUp1xd/8SmVSthaMT4ygGNpso7FbDVkoRYtf+9vjH7wHU2cGObqIdUwZqpcR2vF7uECtTDBtxWVIMFSMF0LODRXYzznUqpF2JYm59mMFz2Ozddb26uFcdfZNzrasOT+xEDG1q1K7031MMF3FMYo4iQNHT9q59CygPDWosdZwz7VMObHh+cZyjrkbJvBrEsSm0ZgWUk/RgghhBBCCHFGk4CwEEIIIYQQQgghzkiunX5oPpR1sLXi6HywpkBnLwrYPOhK1eD7SXP6+ThJQ2Kns/aA8Ep59ZxrLasODOlzL0p6r7nCXUAaLnGXZIg9yyLjWBz47+vZ8bTOkHB7tTjVqBL7oX+5DoD/vnOax509SGQMYzmH2VrUCMguhvSWvkayrsX3713g8EJAL/fO1zEYHrG9yGwtohzETFVCzhvLY6FQXdIbzdu6PT8MEBnIqM7jmatFDPg2c20Vdh1LsX0gk1Yr7vO5lnUsjsSGKIkZytrMVKJly6xU5TT3/dvIOprJZz0Vs38/ABHg/NeX4VlP7r8hXWz9wif50nNfRf7IQV7w+l8AeoeADSuHhFvPgwsv5vmXbgbS4FKzarAQp4pSnZUdjVGtCsOJSa+lY0UPqxQwV13++jsVKkF6sbU1PHznMINZF9V49ThWj9fECb5OmlU0E7NyFeF+LF3fWUdwWQhx6rVfNsr1xevblkG/y8CpdGnduAB9+CP/zKe/91dsfWgO1Rx1YWBqT40t81fzvnd9hoGMQzkIOysFK4WlTGtmhL3TldY1wzJpoNYAlTCmHCZUgojJSkjRtzheCRjPecxXQ7KeTc6zKXhp/7Dg22ilmC4Hrb6wYvF61Pre5VoZxEk64EunnTmTGO6YXGAg4zCWTWeeyLqKJIHLJvLccqTElVsKbC64aTvbBohlXYu8Y9Ao6mHM9QdmePjOYYI4/X1DQsJCCCGEEEKIM5EEhIUQQgghhBBCCHHGK/g2nq05MF07oZDwUNYm51nkPfmTyv1JK9AWEBtqYe/Hz9Cal37FKqzdtuA7ujOLqWgFvprbWBoaUEt/6EhYqvZ/tr75rkYrxeaat0Ia02Bl3TRA8Y3r0L/7mygMGoi1JnnvR+Hs3a2DWWy24aFbi0BaGbgedSaGu4XWlFKM5132TleZ/eqNzO87xPaXPxfNYmg0QvP+t39+2bpf2zPLY3YNYPdIiAZxgmspgtjg2pr/vmNq1ZB33tNcsaXAdFvQzwB3HC9x9nCWjN352ktMOq22pWG22jt4vFCPKfoWttYkxhAnhtsPz1PMOOR8h4mCx3jOW3Ol8XIYN9oBM5VoWWVRgGoQc7hUxRgYzqTVidvVooSLv/kNjDEcnq8ShAnGKJwf/JgwgfILfwLuuWNN7Wp/RFYLB7ffZ5b83M59yOWc/9nPtILB3V4TQpxqzaq8YUfBYMVwPr1mltsqCTdDtSdb0be4eHOB8bzfGqCgVBq0PZWvCVunVYR76Tc43Hyralbpl5C/EBuTpaE5acRo3sNzQhQKb8VUv+FpLzyPc55js+1h+c6BVQpGzvGp80Ou+ukRbvjQFE6kcSyFpaEWmtYAiMbirX+4WnHBWIFj5TpHFuqM5RwGfAftOVSjhAHPZtB3OTBXpejb2JZiIOMylPfwnAhjDFnfIevZy65Vq1274iStwB4lCT86tlgh+FgpwACepTHYKDRPOHuYK7bkOTBboxIumcXCUtxypESSwPYBF9e2uH2ywnje5+yRLFGSDvIQQgghhBBCiDONfJolhBBCCCGEEEKIBwXX1mwqukyXw44Pv/vlO5qxglQOfiApBYdmqqdk2ztGsvfrYztYDlcMQ5S/822c17xy2e1WkmD97PPTHz53HbmJiY77H7HdA2CuHjBbDRnLu4z6LrU4wbM6Uw/N8G7GshnLuYRJAhMTHPzv6wEwxnDHZI3DC/We7VzpGKphklbYLdW5+XBphSVTF45l2TnkU+mRgEtMGghuPkpBErN/pkrYqESXdy20Akcr6rGBI0cYe+Mf4kweoXrexcz88V8DMVnX4pt754iDiJtuPsLvXHseI5m1h4ONMcxUOsPAk+WQkazDVNvtsYHpxs95z8Lvsq3jCzVuPDRDlKSPy/mjBcIkDc3kPvopyldeuLbGNfz0b/0k0H/x0q4hnS1bueQ738JSGkeq64kNoPlaNcYQJwmW1igFo3mXIKwSm7QieBQb6tHyq1TRt8l6Fp6dDtioRTGT83XCFa4B2wcz7BrOUvAc0sKdjWAwi5W0T/VrY7WQfz/h4FYlUJ22WwixcWkFlmrMkKAUBd9t3de89iSmcwaFxz33Us55bvrR70qzLpz12CIPfcEoX3vfYcLYEMZpgDbqMpJLAWM5D0crCq5FlHOwtcazbDwLcoM2GUcTRAmerZmq1NkzXWbnoGE07+HamiNzNbTW5JYMsly6t25thnSWDEsrso5FJYzJv+utDH/8A63rYkVr3I98Auuc83EtC6WWT8IQxvCD+0qcNZwBpdic90kMfOmu47x0YBu+bWEZGTQhhBBCCCGEOPMocwLT1K3VVVddZW644Yb7bX9CCCGEEEIIIYQQSyXGcGw+YL4WEScwkLFZqEUkq/yJ5JyxDK6kaR5QxhhuP1I5JdveOZJtTcu8mhOd3h1g32R5WXChqfyFz8Pv/1Z/G+oSEgaYr6dV1Yqu0zVskXF0o8KvphomHJiroBXM1aLOBY3h1mMVji+pitukFTxm12DXMEXOtfj2/rmOasDdKOBJu4eIV3sRNoznXFBp5bilLAX597ydgQ/+e9cwnQE+/jv/SGnXbvIKvnb7MQAetmuIn7xiC5sHMj0fl272zZZbU1e3G2xcV5bmbLYN+Ax4acAnfR4Z7poqEbQtqBVcuqlIewHo9QSEV6qi3RelOOfue8i4FqBwdBoqFOKBFiU0Xh+GahBTrkWUw5ikS8DX1pBxLXKujefoxnW++9UhMZAkhjBOqEYxedcmMQbPtpZdR5vBvfsjGNxqoYF6vPw9aK3hYEBez0KcRtIBUuk1oFlFvf3aYxr3Rwk85007cXO6Z9C2nTGGX7r037j00mswxpBxLcr1eFmfRJFW8DUmnR2i2Y6ca1NtjKzIOOm1tRrG/OjYAhN5j+GsS5Qk2FqnlY9tzcSgj6VU92uWMUyVAkr13r+X1f/+bwj/499aP7cfZbM6uv2tGzkaGBbaKsp7liLr2tTjBEuBrRWVMGHbgI9JFIkyXLJ5AAW4MhhKCCGEEEIIcRpSSt1ojLmq630SEBZCCCGEEEIIIcSDUZQYSrUIz9Ys1GKmegQgIf1wfNdIZpUpfcX9Yf9UdV0VoFezloDwybB/stwz/LDWMGju+7ctu813FBgIY0PcqLy7EIR4lmayEuBYioLrUPBs4gQ+c/sxLhjLEHapHGcM3HykxExb0NfSiks35RjKLJ+gTAFKK75y98yqobXRrMPDdxS7hmy7GczYVIOEeo9yvxO/8CK8Q/tb7Vh2LI3v33jBqznwuGfznbunOu53teKPnnUh24ayq7bF1orZWsD+2e5VrfOuRZgkHRVMtxZ9Bn0XreGeqfKy6a+bLtlURBloHmX5VS+H716/apuaDJBojU6S9YWDm+04eACgUZlZAjNiYzCNINzyy1W3K45a9pNWaTi2eU+zAudKYxQeiEDwUomBYElAuPnvpbdB7xBxGo6T17MQZ5pnv/jJ8PB7+goHQxoQ3vvVBT7x9v2oRgDYtzUZx6IcxB3h32pocCw4NJf2eRRgW5oh3yXrWoSxwRiDpeHHxxcY9B1mqxH1OGEk6zCRzwCwddDHdaye7dk3WcGzVUffyXc0Cpj78z8l/MgHVz6mxveFz3+DOe2SaeyrFiVEbRf5HYM+QxkXC0U9jjlaqvOwncNorbEU9GiiEEIIIYQQQmxYKwWE5VMtIYQQQgghhBBCPCjZWjGYdci4FmMFh7PHMuQ8K52+1tW41uKH6wMZW8LBG0TeWx5IPSnWGJQ6Vbmq8m+/du3rfOfby25TKGpRWhEz42jCJOFoqc490xXmahGT5ZC9MxUOzlU5WqozWw0xpvtRKQUP2Zyn4FlpdduJHI/dVewaDvZszeGFgC+vEg4ezTlcNpHnvLEsSZ8FDEayi2GTbopv/asVw8Httz/mY++gNj237P4gMfztF+9cMThnaygFITcfmePIQg2rx7KlIAYUeW8xZaIUHJqv8MMj8z3DwQD3zTdCx8aglKH0t+/A0H/lagVYn/pCn0uvzNYSDhYbi2qEtzyrUQlXNb8UWikU6ff0K73P0enynp2u2wz6qkZY2G1sz7XS57zddlvzdmsDvg66hYNN2+0sud+10uPfaMchhDhx93m3rGl5pRRbH5pl/1yFKIY4gXKQUI8NE4M+O0YyDGRs6pHB1ooohq0DWcLEcLwScnihTmgSjDFESTogzdaa3cMFJvJ+q79WjxIWgpA4SZiv9x6Q2VSPDJnG710ZR1MLE6phsmo4GBave/mnP4bYpH2xUhB3hIMBDs7WqEcJYWKYr4dM1yK+dNckxphVB4wIIYQQQgghxOnmFH2iIoQQQgghhBBCCHH6UErhWLB9yGv9DOkH2gpwbQkHbxRnfKjpui+ufZ3XvBKWVhFuTjsNVMMEz7LYPZwnMgmlIOLIfB1LK+6erjJdCZmvx1g6rcrZjQIeubNIEkPUI9Cbcy2+vneW+frK1YAHfJtLx7OtB9OQBovrPXaedTTVKGGqsnKoZPDzn24/9J6aYbmXvv7nuOlX/23Z/XPViCNzVTYVMx2325Zivh6yd7rSuq0eG0ZzDpM9KpDXo4QohvGcQzlMODRXW6V1qW0DGeIEpmsBN9w7z8G5Ok87+3wG9tzREfzryXHIbdtGqa+99dYMSgqxEalmMPgkbq9ZYXgj6nbpba8g7DaCv81Kw0vDw661cY9NCHHi3Pzar4aWp0mMwbZoXTTSQZEKWyuG8y6+o5kqhVg6nZ0i79mNGScMk+U6Bc9qq7ibhomVMmwtuIS//ir8G65HAVWgBhwBMk98Epvf9S6CKEEp0EqRmIQwidFKESdpODho9A3Lz3hS38fUvMwV56eZLw53XcYAhxdqbC9mqIQJFoov3DnFUMbl6h2DhPHiNVUIIYQQQgghTncSEBZCCCGEEEIIIYQg/WB6KU+SceIUUe2prVOx/S7b1krhKotBT3GYOlFiGMnYTOQdDs3Ve1bCbQoiw4Bvs1CPOiqrNQ/ls7dPdSw/nnOoxwmJgSecPcz2AR+A4+WA6UqduLGNWpiQcywSSzUCJ50yjkUl7JFcbrr7DhRrq+zsxBH/760/x22bz+ftL/rDjvu+f2CWp1+SBoRtrZis1Ll3vr9w71KxgQQoBysHp7uZrETcOZlWE/7k697GT/zRSxmcOrpySNiyyF2fVhE80VyLXAKF2BiMgXjJdReWh4MhDQHbjQEfzVUsJeFgIc50cX2VvlIXSWRYqMfcfHgeS0HWtYkmSzzm7LHG70GKrGezZ7rMvunqsvUrYcKWyEBjFoooSbj16AKby7N4z78Wp8d+q1/5MnvOOZt9H/sy5PPL7j9nJIffnnc+ct+ajksBAz/7HOb/85s9l5mrRfh2jTA2bCm6PGrHAJ/80VHOGc0ynHXTishy3RRCCCGEEEKcAeRPvEIIIYQQQgghhBDitDGYtXFXS7KeIu17PfFs76k9hpXa15zyuSmKDU/ePUTGtVdt1VwtYsBfrDng25r75gOu2zO7bNkXXbqZn7t8Ky+7Yis7BjKoxn+bch4Xjhc7li2HMb6t0+p0bWwNC/Wo47aRrMNI1iHvLSZHtv7Ba1dpeaf2MPGFh+/gbW/9OSgt1tv9yI33Ml8NqEYRNx+Z6xkOzji6r+DvWp8vzSrmrtX559tP/fl/8LHf+UeSxjaXblf9xm+T+96tizfoE/jzr5TNE2LDMCxOeW/ofP07Xapc2joNDdsaHKkELsSDQm2vv6bljTFM3rnYv3nkWSOM5V2qYcLtx+bbllRcsKm4fAPN/YaL/aB6lJB1LNznX9tX32fnC7pXBi7VIz5353G+c2iWm4/Md11mNVYYUvBWrpMVxBAnhsGMy5VbB6hHCR+5+TCJMUQJHQPihBBCCCGEEOJ0JRWEhRBCCCGEEEIIIcRpQyvFrtEMk6WA6XK0+gp9Wk8U8kSKAJ/q6OVK2U7PsjrabkjDEVPlgNGcw2Q5XHHbM9WI4axDLYy5bs9sz+q+WnUPVpjG/7YP+BycWwymLNTjjgrFrqVwLU2pEcC1NRR9h6lK2j5LK0ayDrExqNryqnb9aD9Nb3v3q3ntr7+Xs8ey/NTDtnNwocagb1Pw7GUhZYBsYwruSthHZeA1PFF2D2exlSLCkHM1OwZ9NuVdso7FeM5l9GHbmHzWTdwzU+GarYPLQtWerYhik1Yb/er18Nir+995mwv++7PrWk8Icf9YWjl4KS1Vg4V4ULnli/t55lt2YTn9v/Aftf1lnDOSI0oSbju6QBAnXDiWx7U0cZKgtQYM9TBm90iWu6cqy7axb6bCxZuKxAkkGIavfSTQX19XAdue+3gO/+fXyDiaWpjg2ZrbJ8vsma6yZ7pKxtGc0+f2mprV1UeyDokxPQdzzdVCLhgrEjXuvmb7ANcfnOM7+2d45K5hwnjl66wQQgghhBBCnA4kICyEEEIIIYQQQgghTiuWVhR9+6QGhPvRzHj2Ewxun/59TYaHYXp6bes841nLblppv1op8m2h11979iM5cnBf6/78wCD/9rUfr7jL6UpI1rGotYWDn3D2EBeN56k1qse1h4M9W1GPDJ6tiBNwLIXCpTju8KNjC63l5moRQxmbapiglWqFgwd9m2qUMF1ZDC/HiWGqEmJrhe1nuHthjg9WStwaBkQYRrTFCzM5npbJkVmlkm7z8XrLB3+HmQ9+hmrjuGZrEUXP6hp2zjgWU3sOQmkOdp+/4vYT0/8zwXcsDIaMo9lW9HnOBd6yZTblPTbll98OUI8MWqXVncnnKf/6b8Nb39z3/gH00BD5yy5d0zpCiFNHq7QScPOS2/xZQmtCiHZ7/qfM7mfkWzMR9GKMYequGm/7kz8j51ocLdfZP1PFUkABogTmqyGDOZejc1XCGDzL5sLxPLcdK3VsK26kcQezNj8+WqMYBWtqs1WvctlEAbTmLV/fx9Xbi/zw8OI+NuXdNQ+say7/7zceZueQz9nDftdBa4mBehTh2+nH5ddsG+Cm++b5r9uOc/GmAgMZhyhJK7ULIYQQQgghxOlKAsJCCCGEEEIIIYQQ4rSTcS2Gcw7Tq1S7PRXMku8rLdO0NFTsORonMRjoCNnmvvQtyldeuKb25P7iTas3YInNBY8XPeoi5qcnl91XmpvlhZdvwXZcPvi9fT23UQljnnb+CJ+7Y4qLxnJcuqlAYiBjW7TnYV0rDQcr0vAqQNRIaWiluHhTgR8dXQwJNysUN8PAo7n0372mef77//vrfO3OH+KjqGNahz6dJPzdwhx/V5rjLwZGeKyfWfGcKMA9dpjzRvId01nP1+OO9mQ+/WHG3vEWFJBfso3aWWdz9B0fXLbttUxRvXe6wtnDuTWFirvtL26sn3vZL1C7/AriV7ykr3XtiQku/8F3171vIcSpYenFisASDBZCdHPbfx/nkheOcNZjigBdg8LGGBYOB7z1tTdRCxOSxJC3LR4ykVYBNqTXm3qYMLVQJ4wMtq0bg6U0Zw9n2TPdWUn4rskSu4ayDHzmQ63qvf1SgLrhO8xcchUAM5WQ4ZyDAhytePI5I/QxV8Py4wQSYO9MDc/S7BzyCOLlfatqFLcCwpEx1GMDGD79o6O89KptxAYsIxXZhRBCCCGEEKevlUtnCCGEEEIIIYQQQgixQY3kHSaK7gOy75UyAt3uM0vur4cJ1TBpTKWsyDgaz1Zp+OC8NQSEX/Ti/pdt8/BzN3cNB7eLwoAXXr5lxWWqYczzLh7jiWcP9wzB6kY4pdvdiQGrS3hluhIynnMoeBaT5ZCibzOSdbC0ImNrhrMOAB/6xzfxtf/8CAC1tnBwq30YqsbwB7NTfKNWXfFYmuIExnLuktvSLW/56Wcw3ggHL/0C8PfuYcfTrulynP2FfX1bU4tjFoITD76HcRrKzjiac5/wKC45uJ9LDh6AbLbr8npoiKsOH5BwsBAbmFISDhZCrOymD09x4LOKynSEMabjK6zE3P2FBd7563eyY9MQ24Z8Cr6FUoooWeyrxQlUwoQ4gULGIYwS6pEhjCFj25w7kgMW+z/VMGG+FsGb/3rN1X4B5t/7XmyteM6FoygFx0shx0oh984H/MsN95Kwjlk5GnYO+oTGsHem1vX+6UqIafTTvrpncRaPmw8vcFtjAFsYwwmM2xJCCCGEEEKIB5RUEBZCCCGEEEIIIYQQpyVbKwazNpPlkKhLRbC1WG0q5o5lWR74bbdaSwydAa+0qu7iWkMf/SQzz3s23HPXyht6xrPI/d4f9W5kD6//vV+nWq30XmCJ1zzrEbz9s//b8/6ZashQxiFjd/6p0bEUCqhFSfcVG+IEzhnOck9bNbqRrMNUJaT5sM5WIwAGfJsgTpiupKHhj7/r7/o6hjqGd5TmeLTnr/pYlx5+OZu/exPHy4tTZEeJYdOrfwZndgrofnrbb9vxtGs48N/Xt34+f7zAnqlyqwrxpoLHcNYhTmCyVMd3LHxHc9FEkVoYc2CmgqXTc7NerqUZH3BxLN3Ruivuuh0tIUMhhBDijHX95/YwXarxhjf/MV/69gcwxJw9cQVv+duPwkvTAVqerXFsi1oYE8YJGUdTbZvVQgG+q8j7NnPVEM9WGANBbPAsi/NHc2Qci+lqyIHZKjnXJujdpBXFm7eT1ZpB3yIxMFFIB2o1B59VB0bIzk31vb1mz3r3SIa7p9IBYjsGPZRaDPpmHau1bEKCoy22D3rUooSRnIOtNYfmalw4nodGgLqxihBCCCGEEEKcViQgLIQQQgghhBBCCCFOa5ZSROuuK7Z2S/d0svccxIbcRz9DuVSCpz0OKkvCvKPj5P7naytvZIVGfeg/3r2m9hw/tH/F+0ezDp6llwVLosT0XW0t59rkHAvP1hhgqtK9gu5cLWr9+6uf+1R/Gwc8FG8bGutv2uugzr2veDm84W2tmypBzOjePdDH+s37M5/+MNXn/hQAAxmXR57lUw3SSbI9x2pVVj5vvNCxvu/YnDdeYP/x/kPc7RxLsano4didwWBLga0lGCyEEEKcyXTjfT7nOfyf33g9r/uNP6MSLB9xdGwhAOpkXQtb62WzHSgFU6WIou/i2RaVRh/GUuDaGtPoqg36NvMZh+C7vQeTrcQA+573UrypEraluWA0QyVMyLkWn719is1Fj4+84QO8/DXXrmm733/OS1vhYIBqkHT0S+txwpfungHg4duLFD2LWmTYM13FtTSveNgWbK1aAwNjAzoBS+bmFUIIIYQQQpxm5NcYIYQQQgghhBBCCHHaUkqxY8Rn86D3QDflpMvl84x99wfkvn9b59dq4eBT4Asfe++y25SCs4YzjOd8tErDwRkn/XOjZyvsNQRR4wS2DfpUwpiZavdw8FJv/O1f7nv712ayZJVqhXJXYoD8D67vuG3w9b8L9BEubjP2jre0/m1rBSgyrk3Gtftqx0ijel6/bA1bh3y2DWdwbAtIQy2OBs9Kq95JOFgIIYQ4s2mVhng9x2J8wG/MJLCcMYY4gSg21KKkMaPFItdO15tcqAMGz9YoBba1OCAsjMEYxdZCBj718TW3tTWHRj6Pa2vKQUzWWVLbqpHqDW2nr0F5zW3ue+5LO25XGlxrsSPU3iU63piZQuu0z3b78TLv//69xInpGFwWJvQ9+E0IIYQQQgghNgoJCAshhBBCCCGEEEKI05qtFa6lybqnT/qxn4AoQCVI0CoN3J4M13/r6+ta77PvfWfHz1nX4vyRPFnbQbUdSzVMyLmaODGESRpItTTYVu/2J8YwXw+443iZWrS8wl0vZg0JjZflCmR1f38KbbX01ptatxW+/dW+99XcRvsR23qtj186pXc/NDAx4LF9JIu7JBjsWun5l2CwEEII8eAThDFz1ajn/Z6tCXr0vRSQcRSVMKYSJNSjhKyrqS9ZvtXHueqadbWxNjza8fNkJWA05wDw9POGyToWAJ96+2dJaAsVL9F++//5pXeSXdL3OlYKOVpeHITW3hdvzmChgG0D6aDDWw4v8JGb7yMxpmN/EhIWQgghhBBCnG4kICyEEEIIIYQQQgghTnv1MMaYtGqaVuA7moyj6SeXudbsZKkWEq4hyNp1n2vYaWIgjE2rOu+JmJ+bW9d6UbgYqNhU8Ng1kMXqEbithgkoKAUhtx2b55Yj89x8eI7YJMumZU6ShHsXqhycq62rXf2wgW1Wf2Hbdpve9saTsn9Lq44Qdb/6CZ+MF1x2jmXJuDYSDBZCCCEEpH1hRVoFeMuAz2DWJtPoG2ccTdbR+LZKKw3b6c8ZW5FxNI7VPvArrTIMab+iXE+W9a9144fcC35qXW099s8fXnbbZDkk42iiOGE4a3PxeI6zRnJ896Nfp7ZpC9AZCG5+Dy2bP/2DD/O4h51N1rM6BmgVPIvDMzWc5m1tx3BgpkYlSIPU441wMsANh+a541ipo22JgRP8NUAIIYQQQggh7ldr/8u4EEIIIYQQQgghhBAbTJQYgsjgWIp6ZKiFi5/ce7ZGa0gSCKOEE/lMP04MxxcCxvIujn3/jb1PDNTCBA0n1P6nPOPZ61rvUdf+BJaCXUM5PEt3DbzaGqarIffOV0m6hFtvP54GLDblPXKuhQIOzdeWVaLr1/jWbRy799Cqy7lKEbO2SgkK8A/sZefTrum4ba0GfBtrzdWD0+rIR1cITY/mHQoZp6NVtk6nFJdQsBBCCPHgZmmIDRgUnmtRj+J0AFcbrdJZHADm6wHDWY8oSgPAtlYoRefgNAXVIKEaJviNvrVh/ZWoWgHffL7Vb7xy2yBJYrj1yDyT5ZChjM0F43kMMF0OKIUx2c/8N5ZSVP7zk7jveidhWKPyqCdwy4tfi1bwiqLLwfmAehDxvduPMpR12T1RYM/kAgemqgz725kYyjSGVaWCOGEo46IUzE3OcuF/vY/YdrnzUc/gOwdmuWA8j1LpGob03OqEZQPfhBBCCCGEEGIjkoCwEEIIIYQQQgghhDjtjRVcfEczUw6pL5l4uNtUyLaVBh/ixBDFpu/wp8awZdBLgxMn0F5bK2pxDI1pi40BlMEYhcG0SqEtVkZbPKZmZdnW9+a9bevYdcXxckictG3/BLzuD/+UQc/pWTUYIDaGg3PVVbd1tFRv/XsoYxNESdepolfzL1/4Hs+5ZPOqy1WWTA3dj+Y0081/r9dcLcK11vpMMcxVw2VBHlvDaMEj41pIMFgIIYQQK7EUreBtxrVRlbCjP9jev0kM3Hx4jvNH81QXJ43Ad3Rr0F3GXewD1qKkdV+zn+M7mvDP30jwR7+3atua+/7BU17ELXtmAdg24PG43eMA2Jbinsky5SDi9uNlNIasm36kHcQxjmWhn/Yc7rzqiYwUPGpRwm6tSV7+fBb238XF2DhK8VBjOE5MbdNurv/ZvwTg4zfey689ZTdKLZ6B80az8Isvxf3xLYwBo43bH/npdwNw65VXsel9H+TWIwtsLnpcuKlAmKR9r3WMAxNCCCGEEEKI+5UEhIUQQgghhBBCCCHEGaHg20SJoRwEKy4XJYaorcStUv2HQJXWeG0h2fWGR7WluGeqvM61V+c7mv++c7rrfRMXPpQjt93Y97ayuTzDvtu1anA7YxQjGYep9mTJKmaqEaM5h8ly/+s01SODZTnE8errfqla4dpMFqvPFK3q8m/DeqsIO6sv1NhDuR4xOR90VIku+jaDWQfLUq0WKNKqdRIMFkIIIUQ3lk6Dv7EBx9bkPZuFWrS4QFsnNm4kh++YLHH+aB5baywN9bbBStUgwXcUiQFLqUYlYYVSioxW1MIE55nPJfj4h+GmH/RsV3O3wbYdJK96LRxN+8Pts09MFDOEccKPjsxjac2A72BphS4tYH/lq3DNw7mXHD+48xg/85jdBPfdx13PfgJn2y5j2sVt6xxljUId389r3/JT/M8fvBsGJ6jVY9qHB175/Ed3VEJu71oZgO/fwOGLzuW/3v4FtIJfevgOzh3NEcTgWdIXE0IIIYQQQmxsMvmJEEIIIYQQQgghhDhjDGUdJoru2qq2nmB13fU49TmC3nt43l++d01b+t5dh1cNBzdtG8yuadsAc9UQe53l1z504/6+lvtotXTCfwhdSwtb02YDQ1l3lYUN89WAvccrHGuEgx1LMVH0OGssy0jBw7I0oNAKHA2ulVYOlkCKEEIIIXpp717lvc6aUUqlA41sDSNtfZU7JktAOttFbBLiJKEUhpTCkMlKgMa0ZjlIgGqYUA0XZ4PI/esH4MUvAxb7Q0u/5p9wLZX3fZKxnMPDthcBKAVxa9aPMI45OFvlgvE8g76D99RH4T3ycpynPgb153+EedZT2PmsR/KC//M8kuu/wZ3PfgK7LAdPqY5wMICnNK5SbFc2T/3LV5IbyPKtQwt8c98s2wY8fu5Xn07ay+quOTxLAy99zbUkBv71uwc5PF8DYMlEJUIIIYQQQgix4UhAWAghhBBCCCGEEEKcUYZyDnnfOuX7OZFc8QOQSe7wmk/8GNTqfxp8zSd+vKbtRrHhrKG1hYSjBEZz/VbZXe6jN92H7a4cwn363/wzKHW/nvepn/81IA2td2eoBRF7JytMldIqyCN5h52jWbYNZ8h4Ns24iqXSCnWulVYElGCwEEIIIVYTt3d8lvQdXFuDAksrPGuxT3jZRJEB3yKIE247XuL2yRL7Z6rsn6kyWQ44MFdlplanEoZUgohucq/7PTI3/ojp93wIlS+gLJs4l+PQm9/JvV+4nuCP/oI4Nmwf8Bn0NA/ZnAdjqIUR0+U6x+ZrKODILT/Gf/TlWJVKx/abh6KB4NdezVmWQ0av3K/NaM12bXPJrz0BgCA2mFIJK0n6GgTWDAlf8R9/z0jWZaGeHnvyQHfqhRBCCCGEEGIV9uqLCCGEEEIIIYQQQghxeinX4/tlP4oHPuzb3eqtes3Hb+XY3jv42OueD6az/NlTf+dt7H74k9e154JnYyuI+jwxgxmHId+lFiXMVrsHTVbzwe/uA+C3XvBEDt5zBxiD7bq88xPXsePcczEG5h/7WArPfFxrnaXTR5+szK0hrahXftFLABjwl4eXkyTh6HydWphgaRgreGRcq6MVulHZTysJBAshhBBi7UxbXyxqK3VbLpWIP/0RuOYRmHMvxJh09gIFbBvKYGnFVDUk51qUg8U+debrX8T/8z+EJCHSmvt+6w/Z/qIX4jbCue0zTihgYeIswk99hcQYgmZa2YClNVvzPvUkQSlF0bM5fzTDH3/6x2we8Mi5NvP1iOf88gtX7J8pwFGKfoeZuUqRry2elCe+5rl9rrnosu98nvG/+AvOH8svVkU20lcTQgghhBBCbFwSEBZCCCGEEEIIIYQQZ5xtQz6HZmrU+02prlMzWLrxQsL9pRTGzzqf13z81hWXWWt4Nk7g/LECPzq20Lot61psKfjYWrVCFPP1kCA2DGcctNJsLWTZlEsa+zTECRwu1agE/Ye93/KxrwBpReLJclqVtxU6tnzsb/yA3O/8Csn/frtjvbVmOrqdk+ZtCTDzlRvIA76t0wp9bUvNV0OmSiGOpdg65DfuX9xac7pvCZoIIYQQ4kQ0+6fGGGYrAeUrL2z1V2qN+2qkfZetv/E75F76CiYXAqLEYCvNzoEsiTFM/fpryH7ra5193jhm4k1/RvimP2P+qmuI3/IOHr5rBNNIJVfCmB8fL1GLOgeh2Trt4FSihOsPznL+WJZv7Z9mR9EjMYabDs5xZL7OX/7Lr/Z1jGoNHSZLKXbbLrfe+HVKD30sVry2AYXNPZX33Ik5f6x1e5SAc+onLxFCCCGEEEKIdZGAsBBCCCGEEEIIIYQ447i25qzRDLUwYf9U7ZQFeFXb97Xs41QHih/4bKliouDh2ZqMbaFRiwGOxrch31u2lt02PbSjYSLvsWe6smy5XmytKHhWKxzcbkvRZzjjYv7x3a1lAeYuv6Dv7bdbOmu3Anj8kyi+5R8oNm4v+HZr6TBKODyXxnG2Dfk4bcFgBVg6DQdLMFgIIYQQJ0Ozf3rvnXcx++Qn9+x/KoC//xvK//wP1L/2XRQwVw+JEkPxxc8le+hg57JtDJC54XrC51+L+v6Nrf6eVglLjWQdpiohGHjP9+8DYCzv8rizh5icr/PDe+cBOHs0R7E8dwJH3luCYeiL/0HpoY/tejz92Pa618DTb26d39iALVWEhRBCCCGEEBuUBISFEEIIIYQQQgghxBkpNnDvbP2kh3Hbw8Abr3LwxrG1mAa0T4ReQ9Ai71rExjDTrBjcZudQhoLjdE61naz/0VNA7Zs3MZ73iFc4RN/RYAyTpToLtZhNRZesZ9MeDLZ1epwSKhFCCCHEqTD75CcDvcOwrb5tpcLs857N5Ls+BED+/f+KaYSDV1oXwD1+nIN/9mds/5M/SW/o0s2K26oLP+uCkXQ9SzNTTQd2+Y4mjBK2jGRW3OeJ0Ciqw8MntA2nVgY6DzE2YEtfTgghhBBCCLEB6dUXEUIIIYQQQgghhBDi9GNrxc4R/4S306oO23AyQsGnVX5gjQfcnFq6FiZ4qyQlVrvf0Ra7hrJkHI1n9/5T5kjWoRzEVLsEks8ZzpJ3nN6H8QuvXrENXb3uDxjJrhwOBkiShP2TFcLYsGs0S9ZzAIUirZDs2WnlYAkHCyGEEOJkSpK0C3fr7nP7Wr7ZFckd3ItrKVxLMfzed3bct5q5f3l369/d+l3NsVlRYigHMeUgZr4eMZx1GC+6PP6iTTz58q0UD+3vc49rN5PEZF/9l4xkbUyPdq7GLgwAnedFunJCCCGEEEKIjUoCwkIIIYQQQgghhBBC9NCsqCaVgvuTmIS7p0ssBAGVKOTgXLUVGF7K1hDFBn+FOc60UuQcm7MGc5w9lMW3NX5bUFirxemqu+3l/NEcvr3yJGq517y2n0PrXOfFP7fqMkrBTCVi06DH5gG/NeW2rcG10mCwEEIIIcSp0BrDVK/3vU4z5Bp8+H0EcwvLBsn1o1QqAWC69My6zd4QJ4bpSkhswLr+mzzz5U/k6X/1qjXutT/VJOFbUY0DscPUsdl1HR/Aps98BsziEWq1tlkvhBBCCCGEEOL+tPJfx4UQQgghhBBCCCGEOI1Vg1VKvK7iVAWD1RlSZ6wZ/lVKkRjDfQs1gthwYLbWWqbg2WS6hHSVSqeVjhODMUkrQLu4XUMCJM0AhoFtA34rtL0QRJTrMVOVsGvbLhov9H+e3/0+eOVL+lv2Ax/vazHXUmwZzHSUB3a0BIOFEEIIcWrFCUQn0AXe/i9vY2Zuel3rHvv1Xyf/7neTdNl/JYixFMRdOtiZX3k5T7v9R8D6QrvGmI6+5FKJMdSMYc9Z4wwDz/q71619H40ve3i01b/TKu3fyWwQQgghhBBCiI1KAsJCCCGEEEIIIYQQ4oxV8C0GszazlWhd6zfDqCfbqQ4R3B8VjxNj2DdbZjzvkbEs7p4ud60Md3C2yrkjOZTqTMaGMYRxQj2O2DNdwbE0UZyQ82yixFAJ4p77VgpyrkWpxzKXbCrSo3BxV7krHkr5Ax+HFz9/5QU/8p/kdu/ua5sTA35HeMRSEg4WQgghxKnXLYC7Vs7+fetaLzx0CEj7ie0Uad/NszUL9YigrZH59/8rhRMIB8fGEAPaGOwunezIGCom4T1eieE//BIAhekj69gTlJ/+HCKzmH62JRwshBBCCCGE2OAkICyEEEIIIYQQQgghzlhKKcYLLgu1mLhLeHU1pypoq09xkuBU5xSCOGa6GlANE+6dq3HxeKHnsmFimKtHDPpu1/tdrbGUot4odTdfWz3MvSnncqQUdL1vreHgptwFF8H3b6P8gxvhF36O1kaUgvd/LL2/T4MZG0vrtMqcTr+EEEIIIU6Vma9+nXt+ZslsCCfQ35x5+nMofveba16v8Mxntv49mnNo9kqNMcxVQ+pxQsa2KPpp58hgyL/3nWlz19FOQ9qv/idm2V11eLyfJTQGBSSAo+C6WpXvD0W88OO3gUr3o/I5qFfXvL/oV36bjLv48bpkg4UQQgghhBAbnQSEhRBCCCGEEEIIIcQZzdKK7cMe+yZrD3RT2twfNX5PDmMMC2FENYxBpbnZyfJiOLfo2+yZ6V49uOne+RoFz8ZSy5OySmm2Dfrsne4vpLFjMEPQY97si8YL6woHN1kahq++Cn3L7URxQriO6bnHCi55P/2zqyKtHCyEEEIIcarcsHlH9zvW2Smae8hDGXjik+DP0h7rWroyx5//UnLVgNgYJsthx32Dvs1sLSKMI6int9lf/C/ya9xHU/PoFgZGOPsfrmObU+I3X/lozp0CJ1FEGu6ZsPjlf/kuF+bzHese/v2/ZOfrfnnN+6x4GTzbgkabpXqwEEIIIYQQYqOTgLAQQgghhBBCCCGEOOPZemN9en8iIdb7mwEOzPYO705Xwp73tTtaqrM576OUwtbgWI3KcQYUDrC4jwHfplSPlk2RXfAsBjwH48F43uOWI/Ot+8ZzLrZWxKuEem2tsHRaba5ZXS5ODGFsiBMalabNmoIqjqUYK7h4jkV7xMWxJDgihBBCiFOnZzh4HZrdruDN/0StGlGwXayo+4wN3cRac3C2yqG5ate+btJlgNzmN//5Olub9rjCpz6T+u+9nguDEFvnufpN3wXg7CGfnUN+75UvuRzoPwBtgATFLUfKPPm8dI0N9uuFEEIIIYQQQnQlAWEhhBBCCCGEEEIIccbTSuE7mlqXkrAPRFZ3hWK7G045jE54G66VhnLDJGbAd0gMVNseC6XgsokiSimMSYO6WsHRUo1jjWrFCjh7OE/USA3HBi7ZVOTWo/NcMJbHUrprOFgBnq2Jk7QicJQY0gLEvR8Ex4IwXv24PFszXnSxLU0zXqJVWjVYIcERIYQQQpw637/oIX0v228QNrBtPFuTcy1mPv4/jD738X2ve/AjX0z3ZdLlXUsRN/6tNVSDGNVoi2ksqNbRE2+un3z7FkazDkm5ThDHrdksNuUdtg6sEA5umH/k4yl++6urHl+zhfv/6f086/wxkjjB0taa2y2EEEIIIYQQDwQJCAshhBBCCCGEEEKIM56lFduGPA5N1wnjZFll2vvb6VRVdqbaX4XgbmytGMzYLNQiJsshpXqMrS30khNgDI3HZPGBSQyM53w82+LgXJWLxgutcHD7eg/ZXCRaJcxrMHTJhq/Qbk24QiliS8PmAR/HXgwGW4pGZeL+9yOEEEIIsV7JzMyalu8VhG32rmLgRx/9GrmFOhlbsa+qSN7yHh73Wy9fMURrgKl/fh+54QHKQUz5rpvY+9lXUc2AUeAGii1Dl/CE3/own73jGPtmakDad9q5piNo36fii/dM8czzR3EtxUTeY6Ee87izBrFUfwMAZ/74r8n89DNwZqdWPTd7r3484cROfNsiTAwOD8wgQyGEEEIIIYRYKwkICyGEEEIIIYQQQogHBcfSnDWWIYgS7jlefUDbsjQgeyYazbrMVgMmy4sB41qUUA4jCq7T1zYMMJRxSEzvWMrq4WAIY0OmUUG6rzDHCg/PaN6hkHFoDwbb+vQKfQshhBDi9Hbkox9b0/IdlXu7qPs+3/3Xz5NUAkJL8aOZKl+5fRKw8D/4Va74zZfgHTm0fMWJLex/zycBCA7dyy0f/Qn2naMJL9FEThoQdkK4I/oh/ksu5NG3w+MaY7B+8NjnUsvkyVRLazoWgC++4veYrUYcLwe4lmK6EpL3LBxL4VmaSj9TQQD3fehzjPz+a8n/4Pqu58YAN7/4V9n/pOdS2jfDOeMFfFeT9WwS06iWLH1AIYQQQgghxAYmAWEhhBBCCCGEEEII8aDiWIqsq5mrhRiTVpc9NFNphCZMeptJIwKG9N9J44f05/S25vLN2xPTWLdtmaRRFTcxECfpdkxisE7xrMQbIacQG9O1UvOhuSrnj9p9h6SjJGE44zbO5fokBqphglLgWYp6tPLGki4782zNxICH1hpIKwU7EgwWQgghxAPg+D+9a13rTT3+Worf+go6DDHA0Z/+edQrX00ljFFzNVzHYiRj8c27pnjiReOYJO3xHn7Px7lsoogx6SwKSsHxhTpRksCRBcqlEjd99ic5cL4mdBc7R0494YWfSDhn7/K2XPn1T6+5/c0hYy/6zZejFOQcizuPL2AA19IYA6Wgv3Bw65y84W0cM3Dnpz7PE97z11hhQOBn+cjr/oHBXdsYzTn4Qcw8db589yRXbBtg80Cmoz1CCCGEEEIIsVFJQFgIIYQQQgghhBBCPKgopdg5kmG2arNnqsJ9czVqUeV+bUPG0ad0+xthyuOZashwxmG6GnbcPpR1mKzUyLo2rqWxlUaRPi5LGWPwHIs4MWgFSXJibXItTRSvvpFgSbK5vWqwIq0YbJ3ah1AIIYQQoiedyaxrPefG6/nKOz9PJUrAGAquprZ3mqxnEaHIas2dR0tcOJEnsTTnjuc5Ol9n+0AG19LExnD3VAmtFBYQJobRnMMP3vZkDlzUGQ72aoZfe3tCptY7RGvavq8WtG0uO/XyVzGioRLG3DdboR7FFH0bS689HNy+9SMPeQQf/LtPddy6EMSYesiOkQxPf/hOPv6DQ0RJgjEGpRSJSQeNCSGEEEIIIcRGJQFhIYQQQgghhBBCCPGgNJhxuHLbAA/ZUmSyHPD9Q3OU1x0qWJvEnNoIr9kQEeHOoLKtFUXfZqrcCAyXF4PDjqUoejZFz8bSCkdrFIpyFHH3dA0DRLFhJOuwpZghThanylasHohWgO9oquHq4WBbQ9RYzNKwdSiD1agabKn0fqkaLIQQQogH0pbX/Rb3/MxL1rxecWGWa3/+ycxrl7wJ0W190nomz7ff/V8oy8bVMfP1hMPzdTYPZNhc9PFszU33zrEQREDaL4oNlI8cYd/ZneFggFe+J14xHAyd/bjVQsIK4IJLGPjlV7N/usx0NWzNMDGSc1r9t/Xo1TVXwFMuHmPbQBbP0mwu+Lga5mshAyc4w4UQQgghhBBC3B8kICyEEEIIIYQQQgghHtQsrdhU8Lhkc4Hr98/eL/tMTnGa4BTnj/vWDNJmbE2CYaYaMujbZF2bwwu1VjvD2KAU7J2pttbVimWhi4Ug5n8PzDJR8Ljh3nkuHs8xXQl5xI6hrstDGj4G01c4GMC2FFFiyHkW40WPZlTFkarBQgghhNgghh7/2DWv0wzfGqCYBMtu86olnvDixxH4Gdyvf5fzx/IopQiimJzncPvR+VY4GCDnWszXY/a/97nUrrA69jVxOGFkevWqwM02LA0HLx0EZgD9hreQu/bpAAx4UIuSVsVgjeJ4JejzTKzN1mIWS0EYJVx99jCfuvUojrZ51DkjG6bPLYQQQgghhBC9SEBYCCGEEEIIIYQQQghg+2CG/dNVjizUT/m+4lMcJtgoYYW4kdjNehZT5ZCxvMtYxmOuHna0cTjrMFMJO9ZdGva1lOLOyQp7pmut2+6bTx+ru6crPGX3CFsKfms9z1ZopfoOBjcZA6N5h0LGARRapeFgqRoshBBCiI3EPf98gjvuWPN63bo07be5tSo8+qGY2++gGkQUMw73zlY4OFPpWMexNBBTz2jMko0+8atr6381Vx+65TZmnvBo1NRUertlwTv/jcM7L+Sc4VxjJoc0Opx1rFZA+ERn51hp7aPlOsNZh3NG8+QzDtuKHnunK2lAmLTvKP1EIYQQQgghxEYlNS+EEEIIIYQQQgghhGi4escA54/nTvl+TvV0xBskH4yt07REEBm0glI9ohrF+HZnlTmtVg9NT1bDjnBwu7lazMduPca9CzV8R+NYoJUiiBIcDbZOgyOxSVYMkNgaRgsehYwLKCwJBwshhBBig7rsq188JZ0UBRAE3PVXf0OpHnHP8RI/uHeOrGsz4NuM5hwGfJuMo7lsoggs73tuPtJf9eB2Bpi+7EJMIxyM78N13yH/0KuIkoS7p0tsH8mybTjLlsEMGUczmLEZzjqtQWnrNV+Lu94eJYbv37vA7cfK/PC+WTKO5gnnjXK4FDDdGNx2qvv1QgghhBBCCHEipIKwEEIIIYQQQgghhBANnm1x4XieO46V77d9KsC2FJZSWDqtWKtVWv1WqfT+ZqU0SEMIxhiMSW9JjCExje+JIUoM5wxn+NWH71hzW7YP+9iWteIy1++f4nip+xTOqvG/ZiBkphpiKagEEXnPxhjD0VKdTQUXrdoDFb0jJJ6lmSh6nK00547k+OgPjy5b5rJPvpsrvvgRFDDZ3NrjnsjI/3sHKKiFCbO1gMMLdb7642PMVEJ+6TFnMV7wW9vQwJbB9PgNaTDYkvIKQgghhNjArrpvPzfs3A1B2jczrD2Y29O/vIOF40e597W/D6QDumaqESM5h7laRBAnjGQ8nMBgJYr2iK1eWwFhoEu7azV47NVMT2yj+KFPY+vFar2lIGL/bPeBY+vRK+N7yaYcvq1xddpXn68GaDQXjee4e7LEw3YMESXpuZEBZUIIIYQQQoiNSALCQgghhBBCCCGEEEK0sS3NRMHjyEL91O5HQ5ykgYQwNoQnse6vWkdCYTjnoNWJJWJN43/djmS+FrX+fXC2tmShFar6Woq846Aw/M9dc63bNTB+8//ytHf+aeu2jqP+2leYuux8ePHLyL3u9xjPedhKUfAdHnH2cGc4WMGOkSxKKQkHCyGEEOK0cvneu4kSuPXc89JQ7UnQ7FNFn/4EmdkF+OM3oJTigrE8toaJvI+lYCEM2Xrlr/Gj4B871q/kIHOSutLOkUP4L/5J5t/7Cb5y51Eu3TrIrffNrb7iCRrOOlwwnmPXYJa7pspkbJvYKCwr4YLxHN/aP8tFmwrkPZvYgC0BYSGEEEIIIcQGJH/mFkIIIYQQQgghhBBiicu2FBjKOKd0H1GyUiz2xKxnuznPRuvVkw0nI/t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      "text/plain": [
       "<Figure size 3600x3600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Change string values to values that can be changed to floats\n",
    "incomeData_tractGeometry['Median income (dollars)'] = incomeData_tractGeometry['Median income (dollars)'].replace(['-', '250,000+', '2,500-'],['0', '250000', '2500'])\n",
    "# Change all values to floats so natural breaks can classify\n",
    "incomeData_tractGeometry['Median income (dollars)'] = [float(i) for i in incomeData_tractGeometry['Median income (dollars)']] \n",
    "# Change income tract data to World Mercator system\n",
    "incomeData_tractGeometry.to_crs(\"EPSG:3395\")\n",
    "# Create figure and set figure limits\n",
    "fig,ax = plt.subplots(figsize=(50,50))\n",
    "ax.set_ylim([22.4, 54.2])\n",
    "ax.set_xlim([-130.0, -60.4])\n",
    "ax.set_title('Map of Power Plants over Median Household Income', fontsize=50)\n",
    "# Plot choropleth map of median household income data\n",
    "incomeData_tractGeometry.plot(ax=ax, cmap='Blues', column='Median income (dollars)',\n",
    "                              legend=True, k=7, scheme='NaturalBreaks')\n",
    "colors = ['#000000', '#4d9221', '#cb181d']\n",
    "cmap = LinearSegmentedColormap.from_list('cm', colors, N=3)\n",
    "# Create geodataframe from pandas dataframe\n",
    "emissions = gpd.GeoDataFrame(emissions_primaryFuelType,\n",
    "                            geometry=gpd.points_from_xy(emissions_primaryFuelType.Longitude,\n",
    "                                                        emissions_primaryFuelType.Latitude)) \n",
    "# Set emissions coordinate system to World Mercator\n",
    "emissions.set_crs(\"EPSG:3395\")\n",
    "# Plot locations of power plants over income data\n",
    "emissions.plot(ax=ax, column='Reported Fuel Type Code', legend=True, cmap=cmap, markersize=150)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d3588a9",
   "metadata": {},
   "source": [
    "### Visualization 4: Spatial visualization of BA-to-BA interchange"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "25d31e3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import BA locations\n",
    "BA_coords = pd.read_csv('./BA Geometry/Balancing Authority Coordinates 76.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1cfdd1e1",
   "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>origin</th>\n",
       "      <th>destination</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>monthlyTransferMWh</th>\n",
       "      <th>BA Code</th>\n",
       "      <th>BA Name</th>\n",
       "      <th>Region/Country Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Source</th>\n",
       "      <th>BA Code_2</th>\n",
       "      <th>BA Name_2</th>\n",
       "      <th>Region/Country Name_2</th>\n",
       "      <th>Latitude_2</th>\n",
       "      <th>Longitude_2</th>\n",
       "      <th>Source_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>119447</td>\n",
       "      <td>AEC</td>\n",
       "      <td>PowerSouth Energy Cooperative</td>\n",
       "      <td>Southeast</td>\n",
       "      <td>31.729972</td>\n",
       "      <td>-86.338617</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>MISO</td>\n",
       "      <td>Midcontinent Independent System Operator, Inc.</td>\n",
       "      <td>Midwest</td>\n",
       "      <td>41.449768</td>\n",
       "      <td>-92.857741</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>67662</td>\n",
       "      <td>AEC</td>\n",
       "      <td>PowerSouth Energy Cooperative</td>\n",
       "      <td>Southeast</td>\n",
       "      <td>31.729972</td>\n",
       "      <td>-86.338617</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>MISO</td>\n",
       "      <td>Midcontinent Independent System Operator, Inc.</td>\n",
       "      <td>Midwest</td>\n",
       "      <td>41.449768</td>\n",
       "      <td>-92.857741</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>41530</td>\n",
       "      <td>AEC</td>\n",
       "      <td>PowerSouth Energy Cooperative</td>\n",
       "      <td>Southeast</td>\n",
       "      <td>31.729972</td>\n",
       "      <td>-86.338617</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>MISO</td>\n",
       "      <td>Midcontinent Independent System Operator, Inc.</td>\n",
       "      <td>Midwest</td>\n",
       "      <td>41.449768</td>\n",
       "      <td>-92.857741</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "      <td>30003</td>\n",
       "      <td>AEC</td>\n",
       "      <td>PowerSouth Energy Cooperative</td>\n",
       "      <td>Southeast</td>\n",
       "      <td>31.729972</td>\n",
       "      <td>-86.338617</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>MISO</td>\n",
       "      <td>Midcontinent Independent System Operator, Inc.</td>\n",
       "      <td>Midwest</td>\n",
       "      <td>41.449768</td>\n",
       "      <td>-92.857741</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AEC</td>\n",
       "      <td>MISO</td>\n",
       "      <td>2018</td>\n",
       "      <td>5</td>\n",
       "      <td>50136</td>\n",
       "      <td>AEC</td>\n",
       "      <td>PowerSouth Energy Cooperative</td>\n",
       "      <td>Southeast</td>\n",
       "      <td>31.729972</td>\n",
       "      <td>-86.338617</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>MISO</td>\n",
       "      <td>Midcontinent Independent System Operator, Inc.</td>\n",
       "      <td>Midwest</td>\n",
       "      <td>41.449768</td>\n",
       "      <td>-92.857741</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3241</th>\n",
       "      <td>YAD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>2018</td>\n",
       "      <td>8</td>\n",
       "      <td>148539</td>\n",
       "      <td>YAD</td>\n",
       "      <td>Alcoa Power Generating, Inc. - Yadkin Division</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.532017</td>\n",
       "      <td>-80.125356</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>Duke Energy Carolinas</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.339984</td>\n",
       "      <td>-81.251092</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3242</th>\n",
       "      <td>YAD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>2018</td>\n",
       "      <td>9</td>\n",
       "      <td>124077</td>\n",
       "      <td>YAD</td>\n",
       "      <td>Alcoa Power Generating, Inc. - Yadkin Division</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.532017</td>\n",
       "      <td>-80.125356</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>Duke Energy Carolinas</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.339984</td>\n",
       "      <td>-81.251092</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3243</th>\n",
       "      <td>YAD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>150415</td>\n",
       "      <td>YAD</td>\n",
       "      <td>Alcoa Power Generating, Inc. - Yadkin Division</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.532017</td>\n",
       "      <td>-80.125356</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>Duke Energy Carolinas</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.339984</td>\n",
       "      <td>-81.251092</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3244</th>\n",
       "      <td>YAD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>2018</td>\n",
       "      <td>11</td>\n",
       "      <td>100513</td>\n",
       "      <td>YAD</td>\n",
       "      <td>Alcoa Power Generating, Inc. - Yadkin Division</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.532017</td>\n",
       "      <td>-80.125356</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>Duke Energy Carolinas</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.339984</td>\n",
       "      <td>-81.251092</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3245</th>\n",
       "      <td>YAD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>121024</td>\n",
       "      <td>YAD</td>\n",
       "      <td>Alcoa Power Generating, Inc. - Yadkin Division</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.532017</td>\n",
       "      <td>-80.125356</td>\n",
       "      <td>HIFLD</td>\n",
       "      <td>DUK</td>\n",
       "      <td>Duke Energy Carolinas</td>\n",
       "      <td>Carolinas</td>\n",
       "      <td>35.339984</td>\n",
       "      <td>-81.251092</td>\n",
       "      <td>HIFLD</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3246 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     origin destination  Year  Month  monthlyTransferMWh BA Code  \\\n",
       "0       AEC        MISO  2018      1              119447     AEC   \n",
       "1       AEC        MISO  2018      2               67662     AEC   \n",
       "2       AEC        MISO  2018      3               41530     AEC   \n",
       "3       AEC        MISO  2018      4               30003     AEC   \n",
       "4       AEC        MISO  2018      5               50136     AEC   \n",
       "...     ...         ...   ...    ...                 ...     ...   \n",
       "3241    YAD         DUK  2018      8              148539     YAD   \n",
       "3242    YAD         DUK  2018      9              124077     YAD   \n",
       "3243    YAD         DUK  2018     10              150415     YAD   \n",
       "3244    YAD         DUK  2018     11              100513     YAD   \n",
       "3245    YAD         DUK  2018     12              121024     YAD   \n",
       "\n",
       "                                             BA Name Region/Country Name  \\\n",
       "0                      PowerSouth Energy Cooperative           Southeast   \n",
       "1                      PowerSouth Energy Cooperative           Southeast   \n",
       "2                      PowerSouth Energy Cooperative           Southeast   \n",
       "3                      PowerSouth Energy Cooperative           Southeast   \n",
       "4                      PowerSouth Energy Cooperative           Southeast   \n",
       "...                                              ...                 ...   \n",
       "3241  Alcoa Power Generating, Inc. - Yadkin Division           Carolinas   \n",
       "3242  Alcoa Power Generating, Inc. - Yadkin Division           Carolinas   \n",
       "3243  Alcoa Power Generating, Inc. - Yadkin Division           Carolinas   \n",
       "3244  Alcoa Power Generating, Inc. - Yadkin Division           Carolinas   \n",
       "3245  Alcoa Power Generating, Inc. - Yadkin Division           Carolinas   \n",
       "\n",
       "       Latitude  Longitude Source BA Code_2  \\\n",
       "0     31.729972 -86.338617  HIFLD      MISO   \n",
       "1     31.729972 -86.338617  HIFLD      MISO   \n",
       "2     31.729972 -86.338617  HIFLD      MISO   \n",
       "3     31.729972 -86.338617  HIFLD      MISO   \n",
       "4     31.729972 -86.338617  HIFLD      MISO   \n",
       "...         ...        ...    ...       ...   \n",
       "3241  35.532017 -80.125356  HIFLD       DUK   \n",
       "3242  35.532017 -80.125356  HIFLD       DUK   \n",
       "3243  35.532017 -80.125356  HIFLD       DUK   \n",
       "3244  35.532017 -80.125356  HIFLD       DUK   \n",
       "3245  35.532017 -80.125356  HIFLD       DUK   \n",
       "\n",
       "                                           BA Name_2 Region/Country Name_2  \\\n",
       "0     Midcontinent Independent System Operator, Inc.               Midwest   \n",
       "1     Midcontinent Independent System Operator, Inc.               Midwest   \n",
       "2     Midcontinent Independent System Operator, Inc.               Midwest   \n",
       "3     Midcontinent Independent System Operator, Inc.               Midwest   \n",
       "4     Midcontinent Independent System Operator, Inc.               Midwest   \n",
       "...                                              ...                   ...   \n",
       "3241                           Duke Energy Carolinas             Carolinas   \n",
       "3242                           Duke Energy Carolinas             Carolinas   \n",
       "3243                           Duke Energy Carolinas             Carolinas   \n",
       "3244                           Duke Energy Carolinas             Carolinas   \n",
       "3245                           Duke Energy Carolinas             Carolinas   \n",
       "\n",
       "      Latitude_2  Longitude_2 Source_2  \n",
       "0      41.449768   -92.857741    HIFLD  \n",
       "1      41.449768   -92.857741    HIFLD  \n",
       "2      41.449768   -92.857741    HIFLD  \n",
       "3      41.449768   -92.857741    HIFLD  \n",
       "4      41.449768   -92.857741    HIFLD  \n",
       "...          ...          ...      ...  \n",
       "3241   35.339984   -81.251092    HIFLD  \n",
       "3242   35.339984   -81.251092    HIFLD  \n",
       "3243   35.339984   -81.251092    HIFLD  \n",
       "3244   35.339984   -81.251092    HIFLD  \n",
       "3245   35.339984   -81.251092    HIFLD  \n",
       "\n",
       "[3246 rows x 17 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge location data with transfer data\n",
    "transfer_coords_1 =  pd.merge(transferData_2018,\n",
    "                              BA_coords, \n",
    "                              left_on=['origin'], \n",
    "                              right_on=['BA Code'],\n",
    "                              how = 'left',\n",
    "                              suffixes =  ('', '_2'))\n",
    "transfer_coords_2 =  pd.merge(transfer_coords_1,\n",
    "                              BA_coords, \n",
    "                              left_on=['destination'], \n",
    "                              right_on=['BA Code'],\n",
    "                              how = 'left',\n",
    "                              suffixes =  ('', '_2'))\n",
    "transfer_coords_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "7141948b",
   "metadata": {},
   "outputs": [
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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},gt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},mt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+g(e))/r)]};var bt=3+2*w;function _t(t,e){var r=g(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=g(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var 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a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(m(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(g(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),m=a(f,u),b=i*p(m/i),_=m-b,w=t*o(_),T=(t*g(_)-_*g(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*g(u),u<x&&(f-=T*(u-x));var E=g(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*g(d);for(var m=r-x,v=g(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*g(b),k=t*o(b),A=g(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*m-l)/(v-2*m*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*g(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:283,\"to-px\":314,\"typedarray-pool\":327}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=Ha(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=Ha(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],m=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m<f.length;m++){var v=[];ut(f[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&\"LineString\"===h){for(m=0;m<g.length;m++)l.push(Q(u.id,h,g[m],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===g.length?(h=\"LineString\",g=g[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===g.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,g,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),M.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"./attributes\":349,\"./common_defaults\":352}],355:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(m(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),g=t(\"../titles\"),m=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),gt=0,mt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),g.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),g=15.6;if(f.node()&&(g=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),mt=a.width,(gt=a.height)>g&&(h[1]-=(gt-g)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),mt=a.width,gt=a.height),o){if(gt){if(gt+=5,\"top\"===j)it.domain[1]-=gt/R.h,h[1]*=-1;else{it.domain[0]+=gt/R.h;var v=m.lineCount(f);h[1]+=(1-v)*g}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else mt&&(\"right\"===j&&(it.domain[0]+=(mt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,g=!o&&\"right\"===j,m=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,m=n.height)),g&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,m+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=m;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+m-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=g?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?gt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+gt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-m))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var g=d[0];i(g.x0)&&i(g.y0)&&(h=ht(g),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var m=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var x=m[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,gt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=gt;var mt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};mt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,mt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(m,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),g=d.LINE_SPACING,m=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=m(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom 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n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),g=e._has(\"cartesian\"),m=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(g||b||y||x||_)+v+m+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):m?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];g&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!g&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));m?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(g||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof 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a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private 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if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var u=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/u,r=n(10),t.dtick=\"L\"+ot(e,r,$)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),g=t(\"../cartesian/axes\"),m=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/select\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}e.exports=function(t){return new M(t)},S.plot=function(t,e,r){var n=this,i=e[this.id],a=[],o=!1;for(var s in w.layerNameToAdjective)if(\"frame\"!==s&&i[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var 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i=t[n],a=i[0].trace;\"choropleth\"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),d.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,g=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],g._length=y[1][1]-y[0][1],d.range=m(r,d),g.range=m(r,g);var k=(d.range[0]+d.range[1])/2,A=(g.range[0]+g.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,g.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return\"lonaxis\"===t||\"lataxis\"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e[\"show\"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(\".layer\").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};g.setConvert(l,r);var c=g.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],m=i[0];m<i[1]+2.5;m+=2.5)d.push(a(p,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,\"\",e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":561,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],595:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":528,\"../cartesian/axes\":554}],596:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1120,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)\"skip\"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:m(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:m(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=m(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=m(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=m(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var 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n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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g=c.select(s._subplot.div);if(!(null===g.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var m=e._glimages.append(\"g\");m.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),m.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),m.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=g.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var 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n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function A(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(A(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t))}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),g=t(\"../cartesian/autorange\").doAutoRange,m=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(P,I)),r.frontplot.attr(\"transform\",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);g(r,n);var 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../cartesian/layout_attributes\":569,\"../domain\":584}],636:[function(t,e,r){\"use 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r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../../components/fx\"),i=t(\"../../registry\"),a=t(\"../../components/color\"),o=t(\"../../lib\").fillText,s=t(\"./helpers\").getLineWidth,l=t(\"../../plots/cartesian/axes\").hoverLabelText,c=t(\"../../constants/numerical\").BADNUM;function u(t,e,r,i,a){var s,u,f,h,p,d,g,m=t.cd,v=m[0].trace,y=m[0].t,x=\"closest\"===i,b=\"waterfall\"===v.type,_=t.maxHoverDistance,w=t.maxSpikeDistance;\"h\"===v.orientation?(s=r,u=e,f=\"y\",h=\"x\",p=z,d=I):(s=e,u=r,f=\"x\",h=\"y\",d=z,p=I);var T=v[f+\"period\"],k=x||T;function A(t){return S(t,-1)}function M(t){return S(t,1)}function S(t,e){var r=t.w;return t[f]+e*r/2}function E(t){return t[f+\"End\"]-t[f+\"Start\"]}var L=x?A:T?function(t){return t.p-E(t)/2}:function(t){return Math.min(A(t),t.p-y.bardelta/2)},C=x?M:T?function(t){return t.p+E(t)/2}:function(t){return Math.max(M(t),t.p+y.bardelta/2)};function P(t,e,r){return a.finiteRange&&(r=0),n.inbox(t-s,e-s,r+Math.min(1,Math.abs(e-t)/g)-1)}function I(t){return P(L(t),C(t),_)}function O(t){var 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e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+m*Math.cos(t),b[1]-m*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"../../plots/cartesian/axis_defaults\":556,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/cartesian/position_defaults\":572,\"./constants\":858,\"@plotly/d3\":58,\"d3-interpolate\":116}],862:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374,\"../streamtube/calc\":1041}],864:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,h=t.surface.fill,p=t.spaceframe.fill,d=!1,g=!1,m=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=f.indexOf(t._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},A=t._minValues,M=t._maxValues,S=t._vMin,E=t._vMax;function L(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function C(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,C()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function O(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function z(t){s=t}function D(t,e){return\"all\"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=m[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,g))}},{\"../../components/colorscale/calc\":374,\"../../components/colorscale/helpers\":377,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/filter_unique.js\":494,\"../../lib/gup\":500,\"fast-isnumeric\":190}],884:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var 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g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/domain\":584,\"../parcoords/merge_length\":897,\"./attributes\":881}],885:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":881,\"./base_plot\":882,\"./calc\":883,\"./defaults\":884,\"./plot\":887}],886:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=o.selectAll(\"g.trace.parcats\").data(a,p),h=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return l(t.x,t.y)})),h.append(\"g\").attr(\"class\",\"paths\");var y=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);y.attr(\"fill\",(function(t){return t.model.color}));var x=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(x),y.attr(\"d\",(function(t){return t.svgD})),x.empty()||y.sort(g),y.exit().remove(),y.on(\"mouseover\",m).on(\"mouseout\",v).on(\"click\",b),h.append(\"g\").attr(\"class\",\"dimensions\");var w=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);w.enter().append(\"g\").attr(\"class\",\"dimension\"),w.attr(\"transform\",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll(\"g.category\").data((function(t){return t.categories}),p),M=A.enter().append(\"g\").attr(\"class\",\"category\");A.attr(\"transform\",(function(t){return l(0,t.y)})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),A.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(M);var S=A.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(g),N(g)),g}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function g(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function m(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500}],892:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],895:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":888,\"./base_plot\":890,\"./calc\":891,\"./defaults\":893,\"./plot\":899}],896:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var g=[[],[]],m=0;m<64;m++)g[0][m]=m===i?1:0,g[1][m]=m===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:g[0].slice(0,16),dim0B:g[0].slice(16,32),dim0C:g[0].slice(32,48),dim0D:g[0].slice(48,64),dim1A:g[1].slice(0,16),dim1B:g[1].slice(16,32),dim1C:g[1].slice(32,48),dim1D:g[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],903:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],906:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":900,\"./base_plot\":901,\"./calc\":902,\"./defaults\":903,\"./layout_attributes\":907,\"./layout_defaults\":908,\"./plot\":909,\"./style\":910,\"./style_one\":911}],907:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],908:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":907}],909:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers,h=t(\"../../lib/extend\").extendFlat,p=t(\"../../plot_api/edit_types\").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){o=!0}));var s=t._fullLayout._dragCover,g=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(g,m);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",O);var _=b.selectAll(\".\"+l.cn.sankeyLinks).data(v,m);_.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=_.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),m);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\"stroke\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var C=b.selectAll(\".\"+l.cn.sankeyNodeSet).data(v,m);C.enter().append(\"g\").classed(l.cn.sankeyNodeSet,!0),C.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var R=C.selectAll(\".\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),m);R.enter().append(\"g\").classed(l.cn.sankeyNode,!0).call(E).style(\"opacity\",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var F=R.selectAll(\".\"+l.cn.nodeRect).data(v);F.enter().append(\"rect\").classed(l.cn.nodeRect,!0).call(P),F.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return u.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll(\".\"+l.cn.nodeLabel).data(v);B.enter().append(\"text\").classed(l.cn.nodeLabel,!0).style(\"cursor\",\"default\"),B.attr(\"data-notex\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\"text-shadow\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\"text-anchor\",(function(t){return t.horizontal&&t.left?\"end\":\"start\"})).attr(\"transform\",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?\"\":\"scale(-1,1)\"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../registry\":638,\"./constants\":919,\"@plotly/d3\":58,\"@plotly/d3-sankey\":57,\"@plotly/d3-sankey-circular\":56,\"d3-force\":111,\"d3-interpolate\":116,tinycolor2:312}],924:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var 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n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":937}],966:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":388,\"../../plots/cartesian/axes\":554,\"../scatter/plot\":947}],968:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":503,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"./attributes\":968}],971:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],972:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":554}],973:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),f.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(g,c,x);return 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n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var 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if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,g=-1/0,m=0,v=0;m<f;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":943,\"../scatter/subtypes\":951,\"./constants\":980,\"./helpers\":985,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":930,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/period_defaults\":946,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"../scatter/xy_defaults\":953,\"./attributes\":978,\"./helpers\":985}],983:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],984:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":935}],985:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":980}],986:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/get_trace_color\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":568,\"../scatter/cross_trace_defaults\":932,\"../scatter/marker_colorbar\":944,\"./attributes\":978,\"./calc\":979,\"./defaults\":982,\"./format_labels\":984,\"./hover\":986,\"./plot\":988,\"./select\":990}],988:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var A=m.dragmode,M=l(A),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||M||S){if(M||(M=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(O[g]),N[g]=x.c2p(z[g])}else C.xpx=C.ypx=null}if(M){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x,t._context.plotGlPixelRatio),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":942,\"../scatter/subtypes\":951,\"./edit_style\":983,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],989:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var 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_.remove();var D=null,R={};v&&_.each((function(t){R[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!D&&b.isEntry(t)&&(D=t)}));var F=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),B=M.height+1,N=0,j=S;T.hasMultipleRoots&&b.isHierarchyRoot(M)&&(F=F.slice(1),B-=1,N=1,j+=1),F=F.filter((function(t){return t.y1<=j}));var U=p(k.rotation);U&&F.forEach((function(t){t.x0+=U,t.x1+=U}));var V=Math.min(B,S),H=function(t){return(t-N)/V*I},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},G=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,z)},Y=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},W=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(_=_.data(F,b.getPtId)).enter().append(\"g\").classed(\"slice\",!0),v?_.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=b.getPtId(t),n=R[r],i=R[b.getPtId(M)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+U;e=t.rpx1<i.rpx1?{x0:t.x0,x1:t.x1,rpx0:0,rpx1:0}:{x0:o,x1:o,rpx0:t.rpx0,rpx1:t.rpx1}}else{var s,l=b.getPtId(t.parent);_.each((function(t){if(b.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(b.getPtId(t)===r)return c=e}));var f=u.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(c/f),x1:h((c+1)/f)}}return a(n,e)}(t);return function(t){return G(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():_.exit().remove(),_.order();var X=null;if(v&&D){var Z=b.getPtId(D);_.each((function(t){null===X&&b.getPtId(t)===Z&&(X=t.x1)}))}var J=_;function K(t){var e=t.parent,r=R[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}v&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),f=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr(\"d\",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(m,i,k);var p=s.ensureSingle(c,\"g\",\"slicetext\"),_=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=g(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),g=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return m(Math.pow(t,g))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr(\"transform\",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var g,m=o.split(\"+\"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v(\"label\")&&u.label&&y.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&y.push(b.formatValue(u.v,l)),!h){v(\"current path\")&&y.push(b.getPath(t.data));var x=0;v(\"percent parent\")&&x++,v(\"percent entry\")&&x++,v(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){g=b.formatPercent(w,l),_&&(g+=\" of \"+t),y.push(g)};v(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return v(\"text\")&&(g=s.castOption(r,u.i,\"text\"),s.isValidTextValue(g)&&y.push(g)),y.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":905,\"../pie/plot\":909,\"./constants\":1048,\"./fx\":1050,\"./helpers\":1051,\"./style\":1056,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1056:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1057:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1058:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1059:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1066:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},{\"../../lib\":503,\"../../plots/domain\":584,\"./attributes\":1062}],1069:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1062,\"./base_plot\":1063,\"./calc\":1064,\"./defaults\":1068,\"./plot\":1070}],1070:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib\").numberFormat,o=t(\"../../lib/gup\"),s=t(\"../../components/drawing\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../lib\").raiseToTop,u=t(\"../../lib\").strTranslate,f=t(\"../../lib\").cancelTransition,h=t(\"./data_preparation_helper\"),p=t(\"./data_split_helpers\"),d=t(\"../../components/color\");function g(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function v(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return D(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return u(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return u(0,t.scrollbarState.topY||0)}));var c=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),c.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var 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n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",u(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=y(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=D(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),g(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number 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fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],239:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],240:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],241:[function(t,e,r){var 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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=g;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,g=d[0],m=d[1],v=d[2],y=i*g+a*m+o*v,x=c(g-=y*i,m-=y*a,v-=y*o);if(!(x<.01&&(x=c(g=a*h-o*f,m=o*l-i*h,v=i*f-a*l))<1e-6)){g/=x,m/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,g,m,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*m,_=o*g-i*v,w=i*m-a*g,T=c(b,_,w),k=i*l+a*f+o*h,A=g*l+m*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":68,\"gl-mat4/invert\":98,\"gl-mat4/rotate\":103,\"gl-vec3/cross\":157,\"gl-vec3/dot\":162,\"gl-vec3/normalize\":179}],306:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){\"use strict\";var 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null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=g,r.mallocUint32=m,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,\"length\",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],310:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){\"object\"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t(\"./lib/vtext\"),i=null,a=null;\"undefined\"!=typeof 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n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var 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   "source": [
    "fig = go.Figure()\n",
    "\n",
    "# Map Connections\n",
    "for i in range(len(transfer_coords_2)):\n",
    "    fig.add_trace(\n",
    "        go.Scattergeo(\n",
    "                      locationmode = 'USA-states',\n",
    "                      lon = [transfer_coords_2['Longitude'][i], transfer_coords_2['Longitude_2'][i]],\n",
    "                      lat = [transfer_coords_2['Latitude'][i], transfer_coords_2['Latitude_2'][i]],\n",
    "                      mode = 'lines',\n",
    "                      line = dict(width = transfer_coords_2['monthlyTransferMWh'][i] / 400000,color = '#FCA311'),\n",
    "                      #opacity = float(transfer_coords_2['average'][i]),\n",
    "                      )\n",
    "                   )\n",
    "\n",
    "# Map BA points\n",
    "fig.add_trace(go.Scattergeo(\n",
    "              locationmode = \"USA-states\",\n",
    "              lon = BA_coords['Longitude'],\n",
    "              lat = BA_coords['Latitude'],\n",
    "              hoverinfo = 'text',\n",
    "              text = BA_coords['BA Code'],\n",
    "              mode = 'markers',\n",
    "              marker = dict(\n",
    "                size = 4,\n",
    "                color = '#4F518C',\n",
    "                line = dict(\n",
    "                    width = 3,\n",
    "                    color = 'rgba(68, 68, 68, 0)'))))\n",
    "\n",
    "# Update Layout of map\n",
    "fig.update_layout(\n",
    "    title_text = 'BA-to-BA transfers',\n",
    "    showlegend = False,\n",
    "    geo = dict(\n",
    "                scope = 'usa',\n",
    "                projection_type = \"albers usa\" ,\n",
    "                showland = True,\n",
    "                landcolor = 'rgb(243, 243, 243)',\n",
    "                countrycolor = 'rgb(204, 204, 204)',\n",
    "                showcountries=True,\n",
    "                subunitcolor = 'black')\n",
    "    \n",
    ")\n",
    "\n",
    "fig.show()"
   ]
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   "id": "433c88ee",
   "metadata": {},
   "source": [
    "### Project Roles\n",
    "\n",
    "- **Jenni Nugent**:  Data cleaning and preparation; Visualization 2; Visualization 4\n",
    "- **Guangyu Cai**:   Visualization 1\n",
    "- **Amina Jackson**: Visualization 2\n",
    "- **Joe Franke**:    Visualization 3"
   ]
  },
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   "outputs": [],
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