{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Checking pyaerocom installation and access to data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import pyaerocom\n",
    "\n",
    "It all begins with an import:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.21.0.dev0'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pyaerocom as pya\n",
    "import logging\n",
    "logging.getLogger().setLevel(logging.ERROR) # Set level in information outputted by pyaerocom to the console.\\n\",\n",
    "pya.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When imported, pyaerocom will automatically check access to different default data locations (e.g. mount to PPI at MET Norway, or ~/MyPyaerocom/data), and in case a data source location is detected, associated data directories for accessing these data are instantiated (details below).\n",
    "\n",
    "Pyaerocom also comes equipped with a command line interface (CLI)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m                                                                                \u001b[0m\n",
      "\u001b[1m \u001b[0m\u001b[1;33mUsage: \u001b[0m\u001b[1mpya [OPTIONS] COMMAND [ARGS]...\u001b[0m\u001b[1m                                        \u001b[0m\u001b[1m \u001b[0m\n",
      "\u001b[1m                                                                                \u001b[0m\n",
      " 🦄 Pyaerocom Command Line Interface                                            \n",
      "                                                                                \n",
      "\u001b[2m╭─\u001b[0m\u001b[2m Options \u001b[0m\u001b[2m───────────────────────────────────────────────────────────────────\u001b[0m\u001b[2m─╮\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36m-\u001b[0m\u001b[1;36m-version\u001b[0m             \u001b[1;32m-V\u001b[0m                                                     \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36m-\u001b[0m\u001b[1;36m-install\u001b[0m\u001b[1;36m-completion\u001b[0m            Install completion for the current shell.    \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36m-\u001b[0m\u001b[1;36m-show\u001b[0m\u001b[1;36m-completion\u001b[0m               Show completion for the current shell, to    \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m                                 copy it or customize the installation.       \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36m-\u001b[0m\u001b[1;36m-help\u001b[0m                          Show this message and exit.                  \u001b[2m│\u001b[0m\n",
      "\u001b[2m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
      "\u001b[2m╭─\u001b[0m\u001b[2m Commands \u001b[0m\u001b[2m──────────────────────────────────────────────────────────────────\u001b[0m\u001b[2m─╮\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36maeroval       \u001b[0m\u001b[1;36m \u001b[0m Run an AeroVal experiment as described in a json config file \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36mbrowse        \u001b[0m\u001b[1;36m \u001b[0m Browse database (e.g., browse \u001b[1;33m<DATABASE>\u001b[0m)                    \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36mclearcache    \u001b[0m\u001b[1;36m \u001b[0m Delete cached data objects                                   \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36mgetsampledata \u001b[0m\u001b[1;36m \u001b[0m Downloads a minimal sample dataset.                          \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36mlistcache     \u001b[0m\u001b[1;36m \u001b[0m List cached data objects                                     \u001b[2m│\u001b[0m\n",
      "\u001b[2m│\u001b[0m \u001b[1;36mppiaccess     \u001b[0m\u001b[1;36m \u001b[0m Check if MET Norway's PPI can be accessed                    \u001b[2m│\u001b[0m\n",
      "\u001b[2m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n",
      "\n"
     ]
    }
   ],
   "source": [
    "! pya --help"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check available datasets and directories\n",
    "\n",
    "Accessible data and default paths for certain datasets are available (and can be updated via the `const` module)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyaerocom.config.Config at 0x76fc682c95d0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pya.const"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data search directories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/lustre/storeB/project/aerocom/aerocom1/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/CMIP6',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/DOMOS',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/C3S-Aerosol',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/ECLIPSE',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/SATELLITE-DATA/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/CCI-Aerosol/CCI_AEROSOL_Phase2/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/ACCMIP/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/ECMWF/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/EMEP_COPERNICUS/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/EMEP/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/EMEP_GLOBAL/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/EMEP_SVN_TEST/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/NorESM_SVN_TEST/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/INCA/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-I/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-II/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-I/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III-2019/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III-Trend/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/CCI-Aerosol/CCI_AEROSOL_Phase1/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II-IND3/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II-IND2/',\n",
       " '/lustre/storeB/project/fou/kl/CAMS61/',\n",
       " '/lustre/storeB/project/aerocom/aerocom1/AEROCOM_OBSDATA/PYAEROCOM/',\n",
       " '/lustre/storeB/project/fou/kl/CAMS2_40/task4041/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/DOMOS/']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pya.const.DATA_SEARCH_DIRS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting 'testdata-minimal' from '/home/lewisb/MyPyaerocom/testdata-minimal.tar.gz.20231116' to '/home/lewisb/Projects/pyaerocom-tutorials/data'\n"
     ]
    }
   ],
   "source": [
    "! pya getsampledata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When I run this we can see multiple data sources, but you might not see any. That is because I already have access to alot of data, but you, being new to this, don't have any. This means that we need some data we all can use!\n",
    "\n",
    "## Downloading the pyaerocom testdata-minimal dataset\n",
    "\n",
    "The testdata-minimal dataset was developed for automatic testing of pyaerocom and is well suited to illustrate the main features of pyaerocom, without too requiring too heavy computing resources or data storage. It is very easy to get these data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "\n",
    "pya getsampledata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have a path, where there is supposed to be some data. Awesomeness!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataloc = f'./data/testdata-minimal/'\n",
    "dataloc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Side comment: If this way of formatting python strings looks weird to you, don't worry, this is because it is a [rather new feature](https://www.geeksforgeeks.org/formatted-string-literals-f-strings-python/) (as of Nov 2020)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['obsdata', 'config', 'modeldata', 'coldata', 'scripts', 'README.md']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.listdir(dataloc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look into the modeldata directory (obsdata follows later)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['TM5-met2010_CTRL-TEST', 'EMEP_2017']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir(dataloc + 'modeldata')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding data search directories"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Great, found something. Let's tell pyaerocom about it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pya.const.add_data_search_dir(dataloc + 'modeldata')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's repeat what we did before."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/lustre/storeB/project/aerocom/aerocom1/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/CMIP6',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/DOMOS',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/C3S-Aerosol',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/ECLIPSE',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/SATELLITE-DATA/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/CCI-Aerosol/CCI_AEROSOL_Phase2/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/ACCMIP/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/ECMWF/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/EMEP_COPERNICUS/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/EMEP/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/EMEP_GLOBAL/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/EMEP_SVN_TEST/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/NorESM_SVN_TEST/',\n",
       " '/lustre/storeB/project/aerocom/aerocom2/INCA/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-I/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-II/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-I/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III-2019/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III-Trend/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/CCI-Aerosol/CCI_AEROSOL_Phase1/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II-IND3/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II-IND2/',\n",
       " '/lustre/storeB/project/fou/kl/CAMS61/',\n",
       " '/lustre/storeB/project/aerocom/aerocom1/AEROCOM_OBSDATA/PYAEROCOM/',\n",
       " '/lustre/storeB/project/fou/kl/CAMS2_40/task4041/',\n",
       " '/lustre/storeB/project/aerocom/aerocom-users-database/DOMOS/',\n",
       " '/home/lewisb/MyPyaerocom/testdata-minimal/modeldata']"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pya.const.DATA_SEARCH_DIRS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Searching database for matches of *TM5*\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5JRCCY2IPCCV1_SR6SA\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-I/TM5JRCCY2IPCCV1_SR6SA/renamed\n",
      "Available experiments: ['SR6SA']\n",
      "Available years: [2001]\n",
      "Available frequencies ['monthly']\n",
      "Available variables: ['MMR_BCSR6SA', 'MMR_NO3SR6SA', 'MMR_POMSR6SA', 'MMR_SO4SR6SA']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5-JRC-cy2-ipcc-v1_SR1\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-I/TM5-JRC-cy2-ipcc-v1_SR1/renamed\n",
      "Available experiments: ['SR1']\n",
      "Available years: [2001]\n",
      "Available frequencies ['monthly']\n",
      "Available variables: ['vmro3']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5JRCCY2IPCCV1_SR6EU\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-I/TM5JRCCY2IPCCV1_SR6EU/renamed\n",
      "Available experiments: ['SR6EU']\n",
      "Available years: [2001]\n",
      "Available frequencies ['monthly']\n",
      "Available variables: ['MMR_BCSR6EU', 'MMR_NO3SR6EU', 'MMR_POMSR6EU', 'MMR_SO4SR6EU']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5JRCCY2IPCCV1_SR1\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-I/TM5JRCCY2IPCCV1_SR1/renamed\n",
      "Available experiments: ['SR1']\n",
      "Available years: [2001]\n",
      "Available frequencies ['monthly']\n",
      "Available variables: ['SCONCBC', 'SCONCNO3', 'SCONCPM25', 'SCONCPOM', 'SCONCSO4']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5JRCCY2IPCCV1_SR6NA\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-I/TM5JRCCY2IPCCV1_SR6NA/renamed\n",
      "Available experiments: ['SR6NA']\n",
      "Available years: [2001]\n",
      "Available frequencies ['monthly']\n",
      "Available variables: ['MMR_BCSR6NA', 'MMR_NO3SR6NA', 'MMR_POMSR6NA', 'MMR_SO4SR6NA']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5JRCCY2IPCCV1_SR6EA\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/HTAP-PHASE-I/TM5JRCCY2IPCCV1_SR6EA/renamed\n",
      "Available experiments: ['SR6EA']\n",
      "Available years: [2001]\n",
      "Available frequencies ['monthly']\n",
      "Available variables: ['MMR_BCSR6EA', 'MMR_NO3SR6EA', 'MMR_POMSR6EA', 'MMR_SO4SR6EA']\n",
      "Reading failed for TM5_B. Error: AttributeError(\"'NoneType' object has no attribute 'experiment'\")\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5-V3.A2.PRE\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II/TM5-V3.A2.PRE/renamed\n",
      "Available experiments: ['']\n",
      "Available years: [1850]\n",
      "Available frequencies ['daily' 'monthly']\n",
      "Available variables: ['abs550aer', 'abs550dryaer', 'airmass', 'asyaer', 'clt', 'drybc', 'drydms', 'drydust', 'dryhno3', 'drynh3', 'dryno2', 'drynoy', 'dryoa', 'dryso2', 'dryso4', 'dryss', 'ec550aer', 'ec550dryaer', 'emibc', 'emidms', 'emidust', 'eminh3', 'eminox', 'emioa', 'emiso2', 'emiso4', 'emiss', 'hus', 'loadbc', 'loaddust', 'loadno3', 'loadoa', 'loadso4', 'loadss', 'od440aer', 'od550aer', 'od550aerh2o', 'od550bc', 'od550dust', 'od550lt1aer', 'od550lt1dust', 'od550no3', 'od550oa', 'od550so4', 'od550ss', 'od870aer', 'precip', 'pressure', 'ps', 'rsds', 'rsdscs', 'rsdscsdif', 'rsdscsvis', 'rsdt', 'rsus', 'rsut', 'rsutcs', 'sconcbc', 'sconcdust', 'sconcmsa', 'sconcno3', 'sconcoa', 'sconcso4', 'sconcss', 'temp', 'vmrdms', 'vmrhno3', 'vmrno', 'vmrno2', 'vmrpan', 'vmrso2', 'wet3Dbc', 'wet3Ddu', 'wet3Dhno3', 'wet3Dnh4', 'wet3Dnoy', 'wet3Doa', 'wet3Dso2', 'wet3Dso4', 'wet3Dss', 'wetbc', 'wetdms', 'wetdust', 'wethno3', 'wetnh4', 'wetnoy', 'wetoa', 'wetso2', 'wetso4', 'wetss', 'ang4487aer', 'od550gt1aer', 'fmf550aer', 'concNhno3', 'wetdu']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5-V3.A2.HCA-0\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II/TM5-V3.A2.HCA-0/renamed\n",
      "Available experiments: ['']\n",
      "Available years: [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009]\n",
      "Available frequencies ['daily' 'monthly']\n",
      "Available variables: ['abs550aer', 'abs550dryaer', 'airmass', 'asyaer', 'drydms', 'drydust', 'dryso2', 'dryso4', 'dryss', 'ec550aer', 'ec550dryaer', 'emibc', 'emidms', 'emidust', 'emioa', 'emiso2', 'emiso4', 'emiss', 'hus', 'loadbc', 'loaddust', 'loadno3', 'loadoa', 'loadso4', 'loadss', 'od440aer', 'od550aer', 'od550aerh2o', 'od550bc', 'od550dust', 'od550lt1aer', 'od550lt1dust', 'od550no3', 'od550oa', 'od550so4', 'od550ss', 'od870aer', 'pmid3d', 'precip', 'pressure', 'ps', 'scatc550dryaer', 'sconcbc', 'sconcdust', 'sconcno3', 'sconcoa', 'sconcso4', 'sconcss', 'temp', 'wetbc', 'wetdms', 'wetdust', 'wetoa', 'wetso2', 'wetso4', 'wetss', 'ang4487aer', 'od550gt1aer', 'fmf550aer', 'pmid']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5-V3.A2.CTRL\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II/TM5-V3.A2.CTRL/renamed\n",
      "Available experiments: ['']\n",
      "Available years: [2006]\n",
      "Available frequencies ['daily' 'monthly' 'hourly']\n",
      "Available variables: ['abs550aer', 'abs550dry1Daer', 'abs550dryaer', 'airmass', 'ang4487aer', 'asyaer', 'conccn1Dmode01', 'conccn1Dmode02', 'conccn1Dmode03', 'conccn1Dmode04', 'conccn1Dmode05', 'conccn1Dmode06', 'conccn1Dmode07', 'conccnmode01', 'conccnmode02', 'conccnmode03', 'conccnmode04', 'conccnmode05', 'conccnmode06', 'conccnmode07', 'drybc', 'drydust', 'dryhno3', 'drynh3', 'dryno2', 'drynoy', 'dryoa', 'dryso2', 'dryso4', 'dryss', 'ec550aer', 'ec550dry1Daer', 'ec550dryaer', 'emibc', 'emidms', 'emidust', 'eminh3', 'eminox', 'emioa', 'emiso2', 'emiso4', 'emiss', 'hus', 'loadbc', 'loaddust', 'loadno3', 'loadoa', 'loadso4', 'loadss', 'mmr1Daerh2o', 'mmr1Dtr01', 'mmr1Dtr02', 'mmr1Dtr03', 'mmr1Dtr04', 'mmr1Dtr05', 'mmr1Dtr06', 'mmr1Dtr07', 'mmr1Dtr08', 'mmr1Dtr09', 'mmr1Dtr10', 'mmr1Dtr11', 'mmr1Dtr12', 'mmr1Dtr13', 'mmr1Dtr14', 'mmr1Dtr15', 'mmr1Dtr16', 'mmr1Dtr17', 'mmr1Dtr18', 'mmr1Dtr19', 'mmraerh2o', 'mmrbc', 'mmrdu', 'mmrno3', 'mmroa', 'mmrso4', 'mmrss', 'mmrtr01', 'mmrtr02', 'mmrtr03', 'mmrtr04', 'mmrtr05', 'mmrtr06', 'mmrtr07', 'mmrtr08', 'mmrtr09', 'mmrtr10', 'mmrtr11', 'mmrtr12', 'mmrtr13', 'mmrtr14', 'mmrtr15', 'mmrtr16', 'mmrtr17', 'mmrtr18', 'mmrtr19', 'od440aer', 'od550aer', 'od550aerh2o', 'od550bc', 'od550dust', 'od550lt1aer', 'od550lt1dust', 'od550no3', 'od550oa', 'od550so4', 'od550ss', 'od870aer', 'pmid3d', 'precip', 'pressure', 'ps', 'sconcbc', 'sconcdust', 'sconcmsa', 'sconcno3', 'sconcoa', 'sconcso4', 'sconcss', 'temp', 'vmrdms', 'vmrhno3', 'vmrno', 'vmrno2', 'vmrpan', 'vmrso2', 'wet3Dbc', 'wet3Ddu', 'wet3Dhno3', 'wet3Dnh4', 'wet3Dnoy', 'wet3Doa', 'wet3Dso2', 'wet3Dso4', 'wet3Dss', 'wetbc', 'wetdust', 'wethno3', 'wetnh4', 'wetnoy', 'wetoa', 'wetso2', 'wetso4', 'wetss', 'od550gt1aer', 'fmf550aer', 'concNhno3', 'pmid', 'wetdu']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5-V3.A2.HCA-IPCC\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-II/TM5-V3.A2.HCA-IPCC/renamed\n",
      "Available experiments: ['']\n",
      "Available years: [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009]\n",
      "Available frequencies ['daily' 'monthly' 'hourly']\n",
      "Available variables: ['abs550aer', 'abs550dry1Daer', 'abs550dryaer', 'airmass', 'asyaer', 'clt', 'conccn1Dmode01', 'conccn1Dmode02', 'conccn1Dmode03', 'conccn1Dmode04', 'conccn1Dmode05', 'conccn1Dmode06', 'conccn1Dmode07', 'conccnmode01', 'conccnmode02', 'conccnmode03', 'conccnmode04', 'conccnmode05', 'conccnmode06', 'conccnmode07', 'drybc', 'drydust', 'dryhno3', 'drynh3', 'dryno2', 'drynoy', 'dryoa', 'dryso2', 'dryso4', 'dryss', 'ec550aer', 'ec550dry1Daer', 'ec550dryaer', 'emibc', 'emidms', 'emidust', 'eminh3', 'eminox', 'emioa', 'emiso2', 'emiso4', 'emiss', 'hus', 'loadbc', 'loaddust', 'loadno3', 'loadoa', 'loadso4', 'loadss', 'mmr1Daerh2o', 'mmr1Dtr01', 'mmr1Dtr02', 'mmr1Dtr03', 'mmr1Dtr04', 'mmr1Dtr05', 'mmr1Dtr06', 'mmr1Dtr07', 'mmr1Dtr08', 'mmr1Dtr09', 'mmr1Dtr10', 'mmr1Dtr11', 'mmr1Dtr12', 'mmr1Dtr13', 'mmr1Dtr14', 'mmr1Dtr15', 'mmr1Dtr16', 'mmr1Dtr17', 'mmr1Dtr18', 'mmr1Dtr19', 'mmraerh2o', 'mmrbc', 'mmrdu', 'mmrno3', 'mmroa', 'mmrso4', 'mmrss', 'mmrtr01', 'mmrtr02', 'mmrtr03', 'mmrtr04', 'mmrtr05', 'mmrtr06', 'mmrtr07', 'mmrtr08', 'mmrtr09', 'mmrtr10', 'mmrtr11', 'mmrtr12', 'mmrtr13', 'mmrtr14', 'mmrtr15', 'mmrtr16', 'mmrtr17', 'mmrtr18', 'mmrtr19', 'od440aer', 'od550aer', 'od550aerh2o', 'od550bc', 'od550dust', 'od550lt1aer', 'od550lt1dust', 'od550no3', 'od550oa', 'od550so4', 'od550ss', 'od870aer', 'pmid3d', 'precip', 'pressure', 'ps', 'rsds', 'rsdscs', 'rsdscsdif', 'rsdscsvis', 'rsdt', 'rsus', 'rsut', 'rsutcs', 'sconcbc', 'sconcdust', 'sconcmsa', 'sconcno3', 'sconcoa', 'sconcso4', 'sconcss', 'temp', 'vmrdms', 'vmrhno3', 'vmrno', 'vmrno2', 'vmrpan', 'vmrso2', 'wet3Dbc', 'wet3Ddu', 'wet3Dhno3', 'wet3Dnh4', 'wet3Dnoy', 'wet3Doa', 'wet3Dso2', 'wet3Dso4', 'wet3Dss', 'wetbc', 'wetdust', 'wethno3', 'wetnh4', 'wetnoy', 'wetoa', 'wetso2', 'wetso4', 'wetss', 'ang4487aer', 'od550gt1aer', 'fmf550aer', 'concNhno3', 'pmid', 'wetdu']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5_AP3-CTRL2016\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III/TM5_AP3-CTRL2016/renamed\n",
      "Available experiments: ['AP3']\n",
      "Available years: [2006, 2008, 2010]\n",
      "Available frequencies ['monthly' '3hourly']\n",
      "Available variables: ['abs350aer', 'abs440aer', 'abs440dryaer', 'abs550aer', 'abs550dryaer', 'abs550drylt1aer', 'abs870aer', 'abs870dryaer', 'airmass', 'asyaer', 'asydryaer', 'deltaz3d', 'depbc', 'depdms', 'depdust', 'dephno3', 'depmsa', 'depn', 'depnh3', 'depnh4', 'depnhx', 'depno2', 'depno3', 'depnoy', 'depo3', 'depoa', 'deps', 'depso2', 'depso4', 'depss', 'dh', 'drybc', 'drydms', 'drydust', 'dryhno3', 'drynh3', 'dryno2', 'dryno3', 'drynoy', 'dryo3', 'dryoa', 'dryso2', 'dryso4', 'dryss', 'ec440dryaer', 'ec550aer', 'ec550dryaer', 'ec550drylt1aer', 'ec870dryaer', 'emibc', 'emico', 'emidms', 'emidust', 'emiisop', 'emin', 'eminh3', 'eminox', 'emioa', 'emis', 'emiso2', 'emiso4', 'emiss', 'emiterp', 'humidity3d', 'hus', 'loadbc', 'loaddust', 'loadno3', 'loadoa', 'loadso4', 'loadss', 'od350aer', 'od440aer', 'od550aer', 'od550aer3d', 'od550aerh2o', 'od550bc', 'od550dryaer', 'od550dust', 'od550lt1aer', 'od550lt1dust', 'od550lt1ss', 'od550no3', 'od550oa', 'od550so4', 'od550ss', 'od870aer', 'pr', 'sconcbc', 'sconcdust', 'sconcmsa', 'sconcnh4', 'sconcno3', 'sconcoa', 'sconcso4', 'sconcss', 'ta', 'temp', 'vmrch4', 'vmrco', 'vmrno', 'vmrno2', 'vmro3', 'vmroh', 'wetbc', 'wetdms', 'wetdust', 'wethno3', 'wetmsa', 'wetnh3', 'wetnh4', 'wetno3', 'wetnoy', 'wetoa', 'wetso2', 'wetso4', 'wetss', 'ang4487aer', 'angabs4487aer', 'od550gt1aer', 'vmrox', 'fmf550aer', 'concNnh4', 'deltaz', 'humidity']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5_AP3-INSITU\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III/TM5_AP3-INSITU/renamed\n",
      "Available experiments: ['AP3']\n",
      "Available years: [2010]\n",
      "Available frequencies ['monthly' 'daily' 'hourly']\n",
      "Available variables: ['abs350aer', 'abs440aer', 'abs440dryaer', 'abs550aer', 'abs550dryaer', 'abs550drylt1aer', 'abs870aer', 'abs870dryaer', 'airmass', 'asyaer', 'asydryaer', 'depbc', 'depdms', 'depdust', 'dephno3', 'depmsa', 'depn', 'depnh3', 'depnh4', 'depnhx', 'depno2', 'depno3', 'depnoy', 'depo3', 'depoa', 'deps', 'depso2', 'depso4', 'depss', 'dh', 'drybc', 'drydms', 'drydust', 'dryhno3', 'drynh3', 'dryno2', 'dryno3', 'drynoy', 'dryo3', 'dryoa', 'dryso2', 'dryso4', 'dryss', 'ec440dryaer', 'ec550aer', 'ec550dryaer', 'ec550drylt1aer', 'ec870dryaer', 'emibc', 'emico', 'emidms', 'emidust', 'emiisop', 'emin', 'eminh3', 'eminox', 'emioa', 'emis', 'emiso2', 'emiso4', 'emiss', 'emiterp', 'hus', 'loadbc', 'loaddust', 'loadno3', 'loadoa', 'loadso4', 'loadss', 'mmrbc', 'mmrdust', 'mmrmsa', 'mmrnh4', 'mmrno3', 'mmroa', 'mmrso4', 'mmrss', 'od350aer', 'od440aer', 'od550aer', 'od550aerh2o', 'od550bc', 'od550dust', 'od550lt1aer', 'od550lt1dust', 'od550lt1ss', 'od550no3', 'od550oa', 'od550so4', 'od550ss', 'od870aer', 'plev', 'pr', 'precip', 'sconcbc', 'sconcdust', 'sconcmsa', 'sconcno3', 'sconcoa', 'sconcso4', 'sconcss', 'ta', 'temp', 'vmrch4', 'vmrco', 'vmrno', 'vmrno2', 'vmro3', 'vmroh', 'wetbc', 'wetdms', 'wetdust', 'wethno3', 'wetmsa', 'wetnh3', 'wetnh4', 'wetno3', 'wetnoy', 'wetoa', 'wetso2', 'wetso4', 'wetss', 'ang4487aer', 'angabs4487aer', 'od550gt1aer', 'vmrox', 'fmf550aer']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5_AP3-CTRL2015\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III/TM5_AP3-CTRL2015/renamed\n",
      "Available experiments: ['AP3']\n",
      "Available years: [2010]\n",
      "Available frequencies ['monthly']\n",
      "Available variables: ['depbc', 'depdust', 'depno3', 'depoa', 'depso4', 'depss', 'drybc', 'drydust', 'dryno3', 'dryoa', 'dryso4', 'dryss', 'emibc', 'emidms', 'emidust', 'eminox', 'emioa', 'emiso2', 'emiso4', 'emiss', 'loadbc', 'loaddust', 'loadno3', 'loadoa', 'loadso4', 'loadss', 'od550aer', 'od550bc', 'od550dust', 'od550no3', 'od550oa', 'od550so4', 'od550ss', 'sconcbc', 'sconcdust', 'sconcno3', 'sconcoa', 'sconcso4', 'sconcss', 'wetbc', 'wetdust', 'wetno3', 'wetoa', 'wetso4', 'wetss']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5_AP3-INSITU-TIER3\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III/TM5_AP3-INSITU-TIER3/renamed\n",
      "Available experiments: ['AP3']\n",
      "Available years: [2010]\n",
      "Available frequencies ['hourly']\n",
      "Available variables: ['abs440dryaer', 'abs550aer', 'abs550dryaer', 'abs550drylt1aer', 'abs550rh40aer', 'abs550rh55aer', 'abs550rh65aer', 'abs550rh75aer', 'abs550rh85aer', 'abs870dryaer', 'airmass', 'asydryaer', 'dh', 'ec440dryaer', 'ec550aer', 'ec550aerh2o', 'ec550bc', 'ec550dryaer', 'ec550drylt1aer', 'ec550dust', 'ec550no3', 'ec550oa', 'ec550rh40aer', 'ec550rh55aer', 'ec550rh65aer', 'ec550rh75aer', 'ec550rh85aer', 'ec550so4', 'ec550ss', 'ec870dryaer', 'hus', 'mmrbc', 'mmrdust', 'mmrmsa', 'mmrnh4', 'mmrno3', 'mmroa', 'mmrso4', 'mmrss', 'od550aer', 'od550aerh2o', 'od550bc', 'od550dust', 'od550no3', 'od550oa', 'od550so4', 'od550ss', 'plev', 'pr', 'ta']\n",
      "\n",
      "Pyaerocom ReadGridded\n",
      "---------------------\n",
      "Data ID: TM5-met2010_AP3-CTRL2019\n",
      "Data directory: /lustre/storeB/project/aerocom/aerocom-users-database/AEROCOM-PHASE-III-2019/TM5-met2010_AP3-CTRL2019/renamed\n",
      "Available experiments: ['AP3']\n",
      "Available years: [1850, 2010]\n",
      "Available frequencies ['monthly' 'daily']\n",
      "Available variables: ['abs350aer', 'abs440aer', 'abs440dryaer', 'abs550aer', 'abs550dryaer', 'abs550drylt1aer', 'abs870aer', 'abs870dryaer', 'airmass', 'asyaer', 'asydryaer', 'depbc', 'depdms', 'depdust', 'dephno3', 'depmsa', 'depn', 'depnh3', 'depnh4', 'depnhx', 'depno2', 'depno3', 'depnoy', 'depo3', 'depoa', 'deps', 'depso2', 'depso4', 'depsoa', 'depss', 'dh', 'drybc', 'drydms', 'drydust', 'dryhno3', 'drynh3', 'dryno2', 'dryno3', 'drynoy', 'dryo3', 'dryoa', 'dryso2', 'dryso4', 'drysoa', 'dryss', 'ec440dryaer', 'ec550aer', 'ec550dryaer', 'ec550drylt1aer', 'ec870dryaer', 'emibc', 'emico', 'emidms', 'emidust', 'emiisop', 'emin', 'eminh3', 'eminox', 'emis', 'emiso2', 'emiso4', 'emiss', 'emiterp', 'emivoc', 'hus', 'loadbc', 'loaddust', 'loadno3', 'loadoa', 'loadso4', 'loadsoa', 'loadss', 'od350aer', 'od440aer', 'od550aer', 'od550aerh2o', 'od550bc', 'od550dust', 'od550lt1aer', 'od550lt1dust', 'od550lt1ss', 'od550no3', 'od550oa', 'od550so4', 'od550soa', 'od550ss', 'od870aer', 'pr', 'sconcbc', 'sconcdust', 'sconcmsa', 'sconcnh4', 'sconcno3', 'sconcoa', 'sconcso4', 'sconcsoa', 'sconcss', 'ta', 'temp', 'vmrch4', 'vmrco', 'vmrno', 'vmrno2', 'vmro3', 'vmroh', 'wetbc', 'wetdms', 'wetdust', 'wethno3', 'wetmsa', 'wetnh3', 'wetnh4', 'wetno3', 'wetnoy', 'wetoa', 'wetso2', 'wetso4', 'wetsoa', 'wetss', 'ang4487aer', 'angabs4487aer', 'od550gt1aer', 'vmrox', 'fmf550aer', 'concNnh4']\n",
      "['TM5JRCCY2IPCCV1_SR6SA', 'TM5-JRC-cy2-ipcc-v1_SR1', 'TM5JRCCY2IPCCV1_SR6EU', 'TM5JRCCY2IPCCV1_SR1', 'TM5JRCCY2IPCCV1_SR6NA', 'TM5JRCCY2IPCCV1_SR6EA', 'TM5_B', 'TM5-V3.A2.PRE', 'TM5-V3.A2.HCA-0', 'TM5-V3.A2.CTRL', 'TM5-V3.A2.HCA-IPCC', 'TM5_AP3-CTRL2016', 'TM5_AP3-INSITU', 'TM5_AP3-CTRL2015', 'TM5_AP3-INSITU-TIER3', 'TM5-met2010_AP3-CTRL2019']\n"
     ]
    }
   ],
   "source": [
    "! pya browse *TM5*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should now see the downloaded data! Nice! This worked, and there is even a lot of additional information, that comes in handy. The latter is because the underlying NetCDF files in the data directory are stored using AeroCom file naming conventions. Each dataset has it's own ID (usually the directory name and can be accessed via this ID). For this example TM5 dataset the ID is *TM5-met2010_CTRL-TEST* as can be seen in the output from the browsing method.\n",
    "\n",
    "pyaerocom makes extensive use og these conventions, which makes it easy to streamline analyses of many different models and observation records. However, as we shall see below, the latter are often formatted in many different ways, as observations from many different databases are used. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Pyaerocom ReadGridded\n",
       "---------------------\n",
       "Data ID: TM5-met2010_CTRL-TEST\n",
       "Data directory: /home/lewisb/MyPyaerocom/testdata-minimal/modeldata/TM5-met2010_CTRL-TEST/renamed\n",
       "Available experiments: ['AP3']\n",
       "Available years: [2010, 9999]\n",
       "Available frequencies ['daily' 'monthly']\n",
       "Available variables: ['abs550aer', 'od550aer']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reader = pya.io.ReadGridded('TM5-met2010_CTRL-TEST')\n",
    "reader"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tiny detour: AeroCom file naming conventions\n",
    "\n",
    "Let's have a brief look at such a filename (taking the first file in the data directory):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'aerocom3_TM5-met2010_AP3-CTRL2019_abs550aer_Column_2010_daily.nc'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_file = reader.files[0]\n",
    "os.path.basename(first_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The template is:\n",
    "\n",
    "`\n",
    "aerocom3_<ModelName>-<MeteoConfigSpecifier>_<ExperimentName>-<PerturbationName>_<VariableName>_<VerticalCoordinateType>_<Period>_<Frequency>.nc\n",
    "`\n",
    "\n",
    "So the above filename uses **TM5** model, 2010 meteorology (**met2010**), and this version is for AeroCom Phase III (**AP3**) experiment, particularly for the 2019 Control (**CTRL2019**) perturbation. Variable is **abs550aer** (which is the aerosol absorption optical depth, or AAOD), which is representative for a whole atmospheric **Column**, the simulated year is **2010** (here it is the same as meteorology, but this must not always be the case) and the temporal resolution is **daily**.\n",
    "\n",
    "If you want to learn more about AeroCom conventions and ongoing experiments, [see here](https://docs.google.com/spreadsheets/d/1NiHLVTDsBo0JEBSnnDECNI2ojUnCVlxuy2PFrsRJW38/edit#gid=1475397852)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The metadata that is extracted from the filenames is accessible via:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>var_name</th>\n",
       "      <th>year</th>\n",
       "      <th>ts_type</th>\n",
       "      <th>vert_code</th>\n",
       "      <th>data_id</th>\n",
       "      <th>name</th>\n",
       "      <th>meteo</th>\n",
       "      <th>experiment</th>\n",
       "      <th>perturbation</th>\n",
       "      <th>is_at_stations</th>\n",
       "      <th>3D</th>\n",
       "      <th>filename</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>abs550aer</td>\n",
       "      <td>2010</td>\n",
       "      <td>daily</td>\n",
       "      <td>Column</td>\n",
       "      <td>TM5-met2010_CTRL-TEST</td>\n",
       "      <td>TM5</td>\n",
       "      <td>met2010</td>\n",
       "      <td>AP3</td>\n",
       "      <td>CTRL2019</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>aerocom3_TM5-met2010_AP3-CTRL2019_abs550aer_Co...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>abs550aer</td>\n",
       "      <td>2010</td>\n",
       "      <td>monthly</td>\n",
       "      <td>Column</td>\n",
       "      <td>TM5-met2010_CTRL-TEST</td>\n",
       "      <td>TM5</td>\n",
       "      <td>met2010</td>\n",
       "      <td>AP3</td>\n",
       "      <td>CTRL2019</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>aerocom3_TM5-met2010_AP3-CTRL2019_abs550aer_Co...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>abs550aer</td>\n",
       "      <td>9999</td>\n",
       "      <td>daily</td>\n",
       "      <td>Column</td>\n",
       "      <td>TM5-met2010_CTRL-TEST</td>\n",
       "      <td>TM5</td>\n",
       "      <td>met2010</td>\n",
       "      <td>AP3</td>\n",
       "      <td>CTRL2019</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>aerocom3_TM5-met2010_AP3-CTRL2019_abs550aer_Co...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>od550aer</td>\n",
       "      <td>2010</td>\n",
       "      <td>daily</td>\n",
       "      <td>Column</td>\n",
       "      <td>TM5-met2010_CTRL-TEST</td>\n",
       "      <td>TM5</td>\n",
       "      <td>met2010</td>\n",
       "      <td>AP3</td>\n",
       "      <td>CTRL2019</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>aerocom3_TM5-met2010_AP3-CTRL2019_od550aer_Col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>od550aer</td>\n",
       "      <td>2010</td>\n",
       "      <td>monthly</td>\n",
       "      <td>Column</td>\n",
       "      <td>TM5-met2010_CTRL-TEST</td>\n",
       "      <td>TM5</td>\n",
       "      <td></td>\n",
       "      <td>AP3</td>\n",
       "      <td>CTRL2016</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>aerocom3_TM5_AP3-CTRL2016_od550aer_Column_2010...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    var_name  year  ts_type vert_code                data_id name    meteo  \\\n",
       "3  abs550aer  2010    daily    Column  TM5-met2010_CTRL-TEST  TM5  met2010   \n",
       "1  abs550aer  2010  monthly    Column  TM5-met2010_CTRL-TEST  TM5  met2010   \n",
       "0  abs550aer  9999    daily    Column  TM5-met2010_CTRL-TEST  TM5  met2010   \n",
       "4   od550aer  2010    daily    Column  TM5-met2010_CTRL-TEST  TM5  met2010   \n",
       "2   od550aer  2010  monthly    Column  TM5-met2010_CTRL-TEST  TM5            \n",
       "\n",
       "  experiment perturbation  is_at_stations     3D  \\\n",
       "3        AP3     CTRL2019           False  False   \n",
       "1        AP3     CTRL2019           False  False   \n",
       "0        AP3     CTRL2019           False  False   \n",
       "4        AP3     CTRL2019           False  False   \n",
       "2        AP3     CTRL2016           False  False   \n",
       "\n",
       "                                            filename  \n",
       "3  aerocom3_TM5-met2010_AP3-CTRL2019_abs550aer_Co...  \n",
       "1  aerocom3_TM5-met2010_AP3-CTRL2019_abs550aer_Co...  \n",
       "0  aerocom3_TM5-met2010_AP3-CTRL2019_abs550aer_Co...  \n",
       "4  aerocom3_TM5-met2010_AP3-CTRL2019_od550aer_Col...  \n",
       "2  aerocom3_TM5_AP3-CTRL2016_od550aer_Column_2010...  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reader.file_info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How do I know what the variable names mean?\n",
    "\n",
    "You can check all variables via `pyaerocom.const.VARS`, which is a dictionary-like object that allows access to variables and in most cases, provides relevant additional information such as the [CF standard_name](https://cfconventions.org/standard-names.html). For instance, for the above `abs550aer`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "abs550aer\n",
       "standard_name: atmosphere_absorption_optical_thickness_due_to_ambient_aerosol_particles; Unit: 1"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var = pya.const.VARS['abs550aer']\n",
    "var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Absorption aerosol optical depth (AAOD) at 550nm'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var.long_name"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or the extinction (scattering + absorption) aerosol optical depth (AOD), called `od550aer`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "od550aer\n",
       "standard_name: atmosphere_optical_thickness_due_to_ambient_aerosol_particles; Unit: 1"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var = pya.const.VARS['od550aer']\n",
    "var"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reading of model data using `ReadGridded` class\n",
    "\n",
    "The above instantiated `ReadGridded` interface relies on and makes use of these conventions. This class is also the standard interface to read the modeldata into instances of the `pyaerocom.GriddedData`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pyaerocom.GriddedData: (abs550aer, TM5-met2010_CTRL-TEST)\n",
       "<iris 'Cube' of atmosphere_absorption_optical_thickness_due_to_ambient_aerosol / (1) (time: 12; latitude: 90; longitude: 120)>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aaod_tm5 = reader.read_var('abs550aer', start=2010, ts_type='monthly')\n",
    "aaod_tm5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Under the hood, the `GriddedData` object is an [iris.Cube](https://scitools.org.uk/iris/docs/latest/userguide/iris_cubes.html), and it is **single variable**, that is, it does not support reading of multiple variable fields (e.g. AOD and AAOD sharing the same lat, lon and time dimensions). \n",
    "\n",
    "The `GriddedData` object is introduced in more detail in other tutorials, but what is a tutorial without a nice, self-explanatory plot anyways?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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o8vPz0Te2xNTUtNYmW1tbPD098fLy4tdff63tXSI8IdHTWxAEQahWzs7O+Pv7c/DgQTZt2iSnMcnOzmbTpk1oaGjwzjvvVHl9ubm5XLx4EXNzc3JycoiKiiIqKoq1a9cyatQoli9f/tB0CA+Tnp7OiRMn1IKgvr6+/PHHH3Tt2pXAwED09fW5evUq7u7ucpmuXbuyYMEC3n33XbZu3UpRURHa2try/D/++IOgoCAaNWrE0aNH1Xp4GRoa8s4779CoUSN8fX357bffmDFjBjY2Nk+0LQ/6999/uXjxIgBjx44tM18V1HJ0dKx0PY6OjiQlJVU5CFYVWVlZcvCusvpLz3vS+lWBiWbNmj3RempKbm4umzZt4uOPPwbu915VXR7/vFi0aBHLli2rtExQUJB8Ugfu97p/5ZVXKC4uZujQoXz66ad07NiRli1b0rJlS1q1alVhb8uaVlhYyKVLlwDw8fGpsJyTkxPbt28v87yRkREjR46kcePG+Pr6snz5cr7++usKexFpaWlx4MAB+VigUCjo3r07e/fupWnTpty5c4dly5YxZcoUeZnAwEAAlixZQuvWreXndXR08PDwkNNAVCQiIgJtbW2MjIxIT0/nwoULXLhwgSVLlrBq1SoGDBhQ6fIhISHo6elhaGhIWloap06d4tSpU/z0009s3ry53J66VTn2GBgYYGZmRnp6epnPvp+fH2vXri2zjIWFBRMnTsTBwYFBgwbx888/M3HiRLUyAQEBbN++HTs7O44eParWBj09PV577TWaN2+Op6cn27dv5/LlyzRt2rRMXdnZ2ezcuZNXX31Vfs7S0rLC7XlWaWlpceTIEbXvH19fXzZt2kSTJk24ffs2p0+frrDH9eN4Wb6b9PX1adCgASEhIZw+fVotdZUgCIKgrrCwEIpz0fUaAZrlX1lXo0oKyby+mpiYGExMTJ5+/UK1Ez29BUEQhGqn6hm3cuVK+bmNGzeSk5NDt27d1IJdFXFwcGDWrFlcuXKF/Px8UlNTyc3N5dSpU7zyyivy+idPnvzE7W3fvn25vX47deqErq4uAAMHDlQLeKuoLvnOy8sjPDxcbd6ff/4JwAcffFDhJc0tWrSgUaNGFBYWcuTIkSfajgeFhYXJOXHbt2/PyJEjy5RR/bE3MDCodF2q+Q/2MH0SpddVWf2l5z1p/SkpKcD9wNizYNKkSdjZ2WFnZ4elpSWGhoaMHDmS9PR0tLW1Wb16Nfb29rXdzEeSk5NDQkJCpdOD6Qw6derE3r175fQA8fHxbNy4kalTp+Lv74+5uTl9+vSRe1w/TYmJiXJ7Vb1KH0fLli2xsbEhJydHzmFenvHjx5d78qthw4YMHDgQgA0bNqjNMzMzA+6nqXgUnTt3ZuXKlXLP9NTUVNLS0li5ciU2NjZkZmby1ltvcfr06XKX79evHxs3biQxMZG8vDzS0tJISkrixx9/xMjIiPj4ePr06VNuvuWaPvb06dMHgMjIyDL7RXVsHj58eIVBTScnJ7p06QLAvn37yi3TqFEjtYD38+q9994r9z3n7e2Nq6srAFevXq22+l627yYrKyvgyU/aCoIgvDQ0dVDUwlQrgXahRomgtyAIglDtBgwYgJmZmZzDG9RTm1RF9+7dmT17Nk2aNJEDz5qamrRt25Z9+/bRr18/4H5qkgeDzY+qopQFmpqa8p9VX1/fcsvY2trK90tfyp+VlSUHCb744gs5sFnedPPmTQB50K7qoAo2paen4+DgwPr162s1L/WTqGoqnNpe5+PIzMyUA8Gpqany887Ozly9elUeKO15MmvWLCRJqnSqW7dumeW6du3K9evXOXr0KDNmzMDf318+OVFUVMR///1Hp06d+PLLL5/q9iQlJcn3H3aypLCwkGXLltG9e3ccHBzk/P+qKTExEag8d7m/v/9D5129elVtkMW+ffsCMGLECD799FOOHTtGbm7uQ7dt9uzZjBw5EgcHB/kzYWpqysiRIwkMDMTMzIyioiK19Eul/fTTTwwaNEjtZICVlRUff/wxBw8eREtLi4yMjHIHUawOWVlZfPfdd3Tq1AkbGxt0dHTkfV06IPngAKAnT54E7g8uWNmx+eDBg0DFx+bq7Plcm/z8/CqcpxqMsvTx6Um8jN9NquNG6WOJIAiCIAg17/n8hSEIgiA80/T09OSUDKtWrSI8PJxTp05hbm5O//79n3j9GhoaLFq0CAClUsmuXbvU5vv6+pYbwHj99dfLXV9lA0upUqdUVKZ0apXSQaj4+Hg5B2pqamqlvV5Vy1UlSFUViYmJdO3alYiICGxtbTl06BBOTk7lllVt18PqVs2vzkG4Sq+rsvpVA09WR/2q1AOqHt+1beXKlXIgOCMjgyNHjtCuXTvu3LnDqFGjyuTFfxKLFi2qMLgXExNTbfU8CQ0NDTp16sTXX3/NoUOHSElJ4caNG3z55ZdyepOvvvpKbfDBmpafny/fV52AK09iYiItW7bk/fff58CBA8TFxaFQKLCyssLW1hZbW1s5uFf6Pf2gqqRTKC4uVgtCLly4kC5dupCdnc0PP/xA586dMTExoWXLlsyaNatM0Lcq6tWrx4cffgjcDxInJyc/0vJ+fn7ySZudO3ciSZLa/Cc99oSFheHl5cXUqVM5fvw4SUlJaGtrY21tLe9vldL7u6ioSN6WjIyMSo/Nqte+ojZWdzqq2lKV78DS32+P62X9blINXFv6WCIIgiAIQs0TQW9BEAShRqh6dK9Zs0a+lHzIkCGVBo0ehbu7u9wL+8FL55OSksoNYFRXT7WqKJ2+4cyZMw/t+SpJUrX0hkxMTMTf35/r169jY2PD4cOH8fT0rLC8qhffw4Jiqvmq8tXB2NhYDhRUVn/peU9av2owv8rSS9QWExMTOnfuzP79+2nUqBFnzpxhwoQJ1bb+7OzsKqcbeZZ4enoyZ84cdu7cKfesVB1TnobSOZorG5hx8uTJXLt2DUtLS1asWEFcXBx5eXkkJSXJA9Cq3r8PBoBLe5yrEMzMzDh8+DAnTpxg6tSptGvXDi0tLS5cuMDcuXPx8PBg/fr1j7zeNm3ayO2Njo5+7OUzMjLKnGiqyrEnNzeX9PR0tfIqo0aN4u7du9StW5dNmzaRkpJCTk4OiYmJxMfHq6239P4u/V7fsGFDlY7Nq1atKrd9FQ2wKJT1Mn83qX57PI/53gVBEATheSaC3oIgCEKN8PX1pXHjxty9e5fFixcDVU9t8qSio6PLDVwcPXr0qdQP6mlPrl279lTqTExMpEuXLoSEhMhBBS8vr0qXady4MQA3btyoMPCZmJgoX5atChpXF9X6goODKyxTet6T1t+1a1fg/okRVYqDZ42BgQG//PILAKtXr5YHKXxSs2fPfqR0I88af39/Oa++KiXQ01A6dUdFJ86KiorYunUrcH8wyVGjRmFnZ6dWpqSkpEq9pStLfaIKsmlpaZWbaqV9+/Z8++23nDx5kvT0dHbs2IG3tzd5eXmMHj2ahISEh9b/tKiOPY/z2Y+JiZE/F+vXr2fgwIFl9kd8fHy569TT08PU1BR4esfmmqIKulfWgzgjI+NpNadCL/t3k+q48SRjAgiCIAiC8OhE0FsQBEGoMaogd2FhIU2aNKFFixbVtu7IyEg5gKQaaOtZYm5uLv+pf3DQuapSpUKorFeoSkJCAl26dFHrRVeVIEC3bt2A+7lxKwqu7t27t0z56qJa34kTJyq8jFxVv4uLizzQ4eMaNWqUnOtXFQSuClWqmqelS5cudOrUCaDCfMovIyMjI6DyNCPVzdzcXA5glzcgI9w/iaIKPDZr1qzcMidPnqxSeoPKBrRVzWvSpAna2tqVrkdPT4/XXntNDsbn5+c/8omeM2fOAPd7nz/OiRHV8iYmJmV6uao++zdu3ODOnTvlLq/67Ovr66sNNlw6HU9F+1uVj7s8qlzcmzZteuqf7epkbm4OUGF6oqysLG7cuPE0m1SG+G6CqKgo4P5gtIIgCIIgPD0i6C0IgiDUmOHDh/Ppp5/y6aefsmDBgiov97BApCRJTJkyBbgfGFYN4vasee+99wA4dOjQQwPf5fUgNTExAZAv769I6cvGbW1tOXLkSJV7vXXq1AkXFxeAcl+joqIivv/+e+B+L1I3N7cqrbeqhg0bhqamJllZWSxZsqTM/OjoaHnfDR8+/Inrs7KyYubMmcD91+XTTz996Pvt1KlTTJo06YnrflSff/45cD9YeuDAgade/9O0f//+h74OV65c4cqVKwA0b978aTRL1rFjRwDOnTtX7nwTExM5LYmqjaUVFxfLr+fDLFu2rNwe4Tdv3mTz5s0AagOcFhcXVxq4VeUTBvV0HA/b31FRUfz6668AtG3bVk4nVdXlg4KC+PfffwF49dVXy6RtGTBgAMbGxkiSVO6xJz09nWXLlgHwxhtvyDndAbmnNpS/v7Oyspg3b16FbVMdm8PCwvjuu+8q3Y6cnBwKCwsrLVNbfHx8ANiyZUu58xctWkRBQcHTbJIa8d10/3Ok6o2uOpEpCIIgCMLTIYLegiAIQo2xtrZm0aJFLFq0iF69elV5udu3b9OqVSt+//13bt26JQdXlEolZ86coVevXmzbtg2AcePGPXHv35oyfvx4/Pz8gPt/imfOnKnWIy83N5ejR48yYcIE6tWrV2Z51eXdmzdvrjCXcFJSkhxUsLOz48iRIw+9bLw0TU1NFi5cCMB///3HBx98IAfg7927x+DBg7l69apauQfl5uaSnJwsT6pecUqlUu358gJ59evXlwNQX3zxBUuXLpUDTBcuXKBPnz7k5eVhZ2fH//73vypvV2WmT58uBw1//PFH2rVrx7Zt28jMzJTLZGVlsXv3bl5//XU6dOhQKwM9duvWDV9fX+D+vqmIamC+yqbKBk58FgwZMgRPT0+++uorgoKC1IKM8fHx/Pjjj7zyyisolUq0tLSe+kmIzp07A3D27Nly5xsZGcm9hz/55BMOHz4sB6KDg4Pp3bs358+fVwvcVqSoqIhu3boRFBQE3A8uHzx4kB49elBQUECdOnUYP368XP7u3bt4eHgwb948Ll26RHFxsTzv6tWrDBs2DABDQ0M5eA/3A4kjRoxgz549aifWMjMzWbNmDW3btiUtLQ1tbW2+/fbbMu2cOHEiEyZM4OjRo2oDrqakpPDzzz/zyiuvUFRUhLGxcbnjFZibm8snoJYtW8bcuXPl92lYWBivvvoqcXFxGBoaMnfuXLVlvby8cHZ2BmD06NFcuHBBnnf69Gk6d+5caf71fv36MWDAAOD+8eD9998nLCxMnl9YWMjZs2eZNm0aLi4uJCYmVriuh+ncufNj95R/GNWA0fv27WPWrFnyMSw5OZnPPvuMefPmYWZmVu31VoX4brpPdcywtbWtNIe5IAiCIAg1QBIEQRCEB8yaNUsCpKp8TURFRclljxw58kj1uLi4SIA0a9asCtcJSLq6upKVlZWkq6ur9vyoUaOkoqKiR6qztE6dOpVbf3ltXLlyZYVlKtv+pKQkyd/fX63dJiYmkpmZmaRQKOTntLS0yix77NgxuYympqZkb28vubi4SC4uLnKZOXPmyOswNDSUbG1tK53u3LlT7jaUfs0VCoVkZmam1rY//vijwu0vvezDpvLk5+dLPXr0kMtoa2tLxsbG8mNLS0vp/PnzFdb/OJRKpTRnzhxJX19frX3GxsZqdQOShYWFtGbNmkrX97ifmcreV5IkSdu2bZPL7t69W22e6v1blWnSpEkPbdeDVq5cKS8fFRX10PKP8j4cMGCA2rJ2dnZq7dXQ0JDMzc3LfOaNjY2lTZs2PbQtR44ceezjUnkSEhIkHR0dCZDCwsLKLXP+/HnJ0NBQ7bilei9paWlJa9asqfB4Uvo9sWHDBnk5IyMjycDAQJ5nZmYmBQUFVbis6lhhYWEhtxeQdHR0yuy3Bz+3xsbGkoWFhaShoSE/Z2pqKm3ZsqXc7R0xYoTaMcPU1FQyNzdXW6e9vb104sSJCverUqmURo0apdZ2U1NT+bGBgYEUEBBQ7rK7du2StLS01Mqq9pWBgYF08ODBSt8DOTk50uDBg9Xaa2hoKJmbm6vtA0C6e/eu2rJV+e54sGzp43ZVlX5tV61aVWZ+cXGx1KVLF7XXwdzcXFIoFJJCoZC+++67Sttalc/Io2xraeK76b63335bAqSPP/646jtPEAThJZWRkXH/N5T3WEmv6YdPfdL1HisBUkZGRm3vCqGaiJ7egiAIwjPH1taWX375hSFDhuDl5YWJiQnp6eloa2vj6enJ6NGjOXnyJCtWrEBLS6u2m1spKysrDh48yI4dOxg4cCB16tShoKCAvLw8HB0d6dWrF0uWLCE6OrrMsh07diQgIIBXXnkFU1NTEhISuH37Nrdv35bLlE5rkJOTQ0JCQqVTRQOCzZ49m0OHDtG/f39sbGzIzc3F0dGRIUOGcObMGcaMGVPt+0ZFV1eXPXv28Mcff9C+fXsMDQ0pKirCw8ODyZMnExISUq354OF+juIvv/ySW7du8fXXX+Pv74+DgwOFhYUUFxfj4uJC//79+fPPP4mOjq6W1CqPo1+/fnKP/y+//LJW2vCoqvI+fDCdT1hYGJs2beKDDz6gdevWWFpakpWVhSRJ2Nra0rlzZ+bPn094eDgDBw586ttkY2ND//79AVi7dm25ZVq0aMG5c+d48803sbKyQqlUYmxszJtvvklgYGCV30N+fn6cP3+ed955B1NTU4qLi3F0dGTs2LFcu3aNli1bqpV3dHRk586dTJ48mdatW2Nvb092djZaWlp4eXnx4YcfEhwcXGa/DRo0iC+//JJu3brh6uqKQqEgMzMTc3Nz2rdvz9y5c7l58yavv/56ue0cP34806ZNo1OnTtSpU4fi4mKys7OxsbGha9eu/PDDD9y4cUMtF/eDFAoFK1asYPPmzXTr1g1zc3Py8/NxcXFh7NixXLlyhd69e5e7bN++fTl+/Dh9+vTBzMyM4uJirKysGDVqFBcvXpQHra2IgYEB69ev58iRIwwfPhw3NzeUSqW8Df7+/ixcuJDw8HAcHR0rXVdlVIOPtm7d+pGXLX3FQ+k0NSqampoEBAQwZ84cPD090dHRQaFQ0L17dw4cOFBtV8c8DvHddH+7d+zYAfxfSh1BEARBEJ4ehSRVcQQnQRAEQRAEQXhJHT9+nE6dOlGvXj3Cw8PL5KgWhAfdvXuXOnXqoKmpSUhIyCOn4jpx4oSckubIkSNymh3h+bBmzRpGjBhBly5dOHz4cG03RxAE4ZmXmZmJqakput5jUWjqPPX6pZJCCq79QUZGhjy2kvB8Ez29BUEQBEEQBOEhOnbsSPfu3YmMjGTTpk213RzhOaAKdI4YMeKxxp44duwYcH/A5iZNmlRr24SapVQq5Vzj8+fPr+XWCIIgCMLL6bkJeiuVSpYsWULz5s0xMDDAxMSETp06sXPnznLLZ2Zm8sknn+Di4oKuri4uLi588sknaoNUqaxatQqFQoFCoWDRokXlrm/27NkoFAp5lG5BEARBEATh5bJo0SI0NDSYO3euWvoGQSjPkSNH0NXVZdasWY+0XFFREdu2beO7774DoHv37lhYWNREE4UasmnTJkJCQhg0aBBt2rSp7eYIgiAIwkvpuQh6S5LEm2++yUcffURmZibvvvsugwcPJjQ0lH79+rFkyRK18jk5OXTq1Ikff/yRBg0aMHnyZLy8vPjxxx/p1KmTPDJ8eb755hu1EewFQRAEQRAEAcDb25u//vqLgQMHEhcXV9vNEZ5xK1euJD8/H2dn5yov4+vri4GBAa+//jqZmZlYWlqyePHimmukUCOKioqYNWuWfOJCEARBEISn79ke/ev/27JlC1u2bKFdu3YcOHBAHsjl66+/pmXLlvzvf/+jb9++1K1bF4CFCxdy+fJlpk6dyrfffiuvZ9asWcydO5eFCxcyZ86cMvXUq1ePyMhIFixYwIIFC57KtgmCIAiC8GhiYmLw9fV9pGXq1KlDUFBQDbVIeJmMHDmytpsgvMCSkpLQ1NTE2dmZ7t27M336dFxcXGq7WcIjGjZsWG03QRAEQRBees9FT+/t27cD8Nlnn6mNXG5lZcXkyZMpKChg5cqVwP1e4X/++SdGRkZ8+eWXauuZMWMG5ubm/PXXX5Q3fufIkSNxd3fn559/lkdaFwRBEATh2VJSUkJCQsIjTUlJSbXdbEEQhIeKjo4mPz+fyMhIli5dKgLegiAIgiAIj+m5CHonJCQA4OrqWmae6jnVQDHh4eHExsbSrl07DA0N1crq6enRsWNH7t27R0RERJl1aWlpMX/+fPLy8h45954gCIIgCE9H3bp1kSTpkabo6OjabrYgCIIgCIIgCILwlDwX6U2sra0BiIqKomHDhmrzoqKiAAgLCwPuB70BPDw8yl2X6vnw8PByywwaNIjvvvuOVatW8emnn5ap72EKCgooKChQe06SJBQKxSOtRxAEQRAEQRAEQRAEQRCeFh0dHfT09Gq7GYJQLZ6LoHevXr1Yv349CxYswN/fX/4ApqSkyAO7qAafzMjIAMDU1LTcdZmYmKiVe5BCoeDbb7+la9euzJgxQ06tUlXffPNNmXzhRkZGZGdnP9J6BEEQBEEQBEEQBEEQBOFpsbOzIyoqSgS+hRfCcxH0fvvtt1m5ciVHjhzB29ubnj17UlRUxPbt27G1tQVAU1Oz2urz9/ene/fu7Nixg8DAQNq2bVvlZWfMmMEnn3wiP87MzKROnTrExMTIAXdBEARBEARBEARBEARBeFao4leFhYUi6C28EJ6LoLeWlhZ79uxhwYIFrFu3juXLl2NqasqAAQP43//+R/369eUUKKoe3hX15M7MzFQrV5Fvv/2WAwcOMG3aNE6cOFHlturq6qKrq1vmeRMTExH0FgRBEARBEARBEARBEARBqGHPxUCWcD+YPGvWLG7evElBQQGJiYn8/vvv3Lt3D4CWLVsC6jm7y/OwnN8qTZs25e233+bkyZPs2rWrujZDEARBEARBEARBEARBEARBqEHPTdC7ImvXrgVg8ODBwP1gtoODA6dOnSInJ0etbH5+PsePH8fBwQF3d/eHrnvevHno6OgwY8YMlEpl9TdeEARBEARBEARBEARBEARBqFbPTdBblZaktM2bN7NixQp8fX15/fXXgfsDUY4ZM4bs7Gzmzp2rVv6bb74hLS2NMWPGoFAoHlqnq6sr48ePJyQkhHXr1lXPhgiCIAiCIAiCIAiCIAiCIAg15rnI6Q3g5+dHnTp1aNiwIXp6epw7d46jR4/i5ubGpk2b1AaynDp1Kjt37mThwoVcunSJFi1acOXKFfbs2UPTpk2ZOnVqlev94osvWLlyJZGRkTWxWYIgCIIgCIIgCIIgCIIgCEI1em56er/11lvEx8ezcuVKfv75ZxISEpg5cyaXLl3CxcVFrayhoSFHjx5l8uTJhIaG8v333xMcHMzkyZM5evQohoaGVa7XysqKKVOmVPfmCIIgCIIgCIIgCIIgCIIgCDVAIUmSVNuNeJFlZmZiampKRkYGJiYmtd0cQRAEQRAEQRAEQRAEQVBT2/ErVf263mNRaOo89fqlkkIKrv0h4ncvkOemp7cgCIIgCIIgCIIgCIIgCIIgPIwIeguCIAiCIAiCIAiCIAiCIAgvDBH0FgRBEARBEARBEARBEARBEF4YWrXdAEEQBEEQBEEQBEEQBEEQBIytQEvv6ddbnA+Ar68vmpqafPjhh3z44YdPvx1CtRFBb0EQBEEQBEEQBEEQBEEQXnpBQUFiIMsXhEhvIgiCIAiCIAiCIAiCIAiCILwwRNBbEARBEARBEARBEARBEARBeGGIoLcgCIIgCIIgCIIgCIIgCILwwhBBb0EQBEEQBEEQBEEQBEEQBOGFIYLegiAIgiAIgiAIgiAIgiAIwgtDBL0FQRAEQRAEQRAEQRAEQRCEF4ZWbTdAEARBEAShqqKioti/fz8JCQkUFBRUaSoqKkJDQwMtLa3HmrS1tatc1tDQkLp161K3bl1sbGxQKBS1vcsEQRAEQRAEQRBeOiLoLQiCIDxTJEkiPz+f7OxsSkpKKC4uLvdWdV9HRwdPT090dHQAUCqVZGdnk5GRUWbKzMxEoVCgp6eHrq5upbcPPqelJb4yn1RxcTFhYWFcu3aN7OxstLS00NTUlKeKHufl5XH48GH+++8/QkND0dLSwsrKCl1d3UonExMTdHV10dbWRpIkiouLy0yFhYXk5uaWO+9RJ6VSqba9+vr61K1bF1dX13JvLSwsRFBcEARBEARBEAShBoh/8IIgCMJTk5CQwLVr17h9+7Y8xcXFkZ6erjYVFRU90np1dHSwtbUlMzOTzMxMJEkqt5yGhgaSJFU4vzKampoPDZQbGBhgamqKqakpZmZm8n1TU1Osra3x8PDA2dkZTU3NR67/eSJJEvHx8Vy7do2rV69y9epVrl27xvXr1yksLHysddrb29O7d2/mz5/PK6+8gomJSTW3+skplUoyMzOJjo4mOjqaqKgo+fbEiROsWbOG7OxsubyxsXG5wXDVfVNT01rcGkEQBEEQBEEQhOeXCHoLgiAIj62goIAzZ84QFBSEhoYGhoaGGBoaYmxsTLNmzXB2dgbuB0GXLl3Kp59+Sn5+PgqFAnt7e1xcXHB0dKRu3bpyoFgVLDY0NERbW1vu8avq9fvgbW5uLhcvXiQ+Pl4tyFzeZGhoCEBRUREFBQXk5+c/0q3qfkXzs7OzSUhIICwsjIyMDNLT08nIyKC4uFjeZzo6OtSrV4/69etTv359Wrduzeuvv14rr191unTpEqtXr5YD3MnJyQAYGBjg7e1Ny5YtGT16NE2aNMHb2xszMzO1Hvuq++X15tfQ0KBu3brPfK9oDQ0NzMzMaNq0KU2bNi0zX5IkUlNTywTEo6OjOXDgANHR0eTl5cnlzczMcHV1ZcKECYwePfopbokgCIIgCIIgCMLzTQS9BUEQhIeSJIn09HSSkpK4d+8ep06d4siRIwQGBpKfn4+BgQEaGhrk5OSo9aJ2d3ena9euxMTE8N9///HBBx8wefJknJ2d5XQk1aFt27aPVF5HRwcdHR2MjY2rrQ0VkSSJvLw8EhISCA8PJywsjIsXL7J161Z27NgB3E/7Udu9v5VKJeHh4QQFBREUFERISAgODg54enrKk7u7e7mvW1hYGM2bN0dLS4t+/frx0Ucf4e3tTZMmTXB1dUVDo/xxszU0NNDW1q7pTXtkpVOhFBUVybcV3a/oudKB/PImQ0NDGjZsSP369SkuLiY8PJz//vuPmJgYAHJzc9HW1sbAwKCW94ggCIIgCIIgCMLzRQS9BUEQXkLFxcXcvXtXrbdpfHy82uB/mZmZJCUlkZSURHJyslpvZRMTEzp16sT8+fPp0qULTZo0QVNTU87HnZ6eTmBgIIcPH+bQoUPk5OSwa9cu+vbtW4tb/fQVFhYSFRVVJs3HrVu3gPtB3759+6KhoUFSUhJ3797l7t273Lt3j/T0dLKyssqdMjMz5fvFxcVyypbSqVsefGxvb0+PHj3o1asXXbt2JT09naCgIM6dO0dQUBAXLlwgIyMDuH+yonHjxoSHh7Nz5075eU1NTerVq4enpyceHh5YWlpiamrKP//8A4CRkRHu7u506dKFli1boq+v/7R3+RPZsmULAwcOrLX6DQ0NGTRoEL6+vrRq1Qpvb290dXWfeL2q98Cz3lNeEARBEARBEAShuiikx0lsKlRZZmYmpqamZGRkPJP5RwVBePmUlJSUGZTRwcEBBwcHOT+1rq4uRkZGWFtbY21tjY2Njdr9+vXr13rP5NqWmZnJqVOnCAsLIzExkaSkJPlWdV8VLAaws7OTez+npKSQmJhIdnY29+7d4+7duxQUFMhlNTU1MTU1xdjY+KGTque1QqFQm0o/BxAeHs6ePXsIDw9HoVDIgVAHBwdatWqFr68vvr6+tGzZEnNzc7ktkiSRmJhIaGio2hQeHl5u+pbyjBo1iq+++gpHR8fq2fk1JDExEV9fX+7cufPQsqorBYyNjTEwMCA9PZ24uLhy88Xb2tri6upKnTp1SEpKIiwsjNjYWHm+k5OTfBKjX79+zJs3Dy8vrwrrLigoIDk5meTkZPmkVOn7D96qUs2o0geZm5tXeNulSxfq16//GHtPEARBEARBeJ7VdvxKVb9u2xkotPSeev1ScT4Fgd+I+N0LRAS9a1htHzQEQRAeFB0djaurKwBjx47lnXfeoU2bNi99ELuqdu7cSb9+/SotM2XKFPkkgbOzM97e3lhbW8vzW7ZsyYULF/D396dFixY4OTlRp04d+dbGxqbClCBPKjIyksOHD2NjY4Ovry8ODg5PtD5V7/6MjAzi4uK4fv06W7ZsYdu2bWrlWrduzenTp5+orqflSXpGS5JEUlISMTEx3Llzh5iYGPl+bGwsNjY2crqYhg0b0qBBA4yNjTl8+DADBgwgMzOTcePG8dZbb8npcCIiIoiLi5MD2VlZWWXq1dbWlt9zVlZWWFlZqd3X0NAgLS2N9PT0Mrel7+vo6PDbb78xatSoJ96PgiAIgiAIwvOjtuNXIugtVDcR9K5htX3QEATh5TF37lxmzZpFr169KCkpobCwkKKiIvlWU1OTN954gzFjxnD69GmWLFnCqVOnyM3NxcTEhDfffJPp06dTr1692t6UZ9q6desYOnRoufNMTU0ZNWoUP/74o5wj+8KFC5w/f56bN2+SnJxMamoqcXFx5OTk8Oabb/Lvv/8+5S14upRKJUFBQTRo0AAzM7Pabs4zJzU1ldGjR8v53UtTDeDp4eGBo6OjHMQuL7BtbGz8WEH63Nxcrl+/TnBwMOfOnWPZsmVIksTq1at55513qmMTBUEQhEcgSRLx8fFyurPY2Fju3bsnT/n5+bRr146uXbvSrl07Me6DIAjVprbjVyLoLVQ3EfSuYbV90BAE4cUWHBzM77//TkREBHv37pWfHzhwIDo6Omhra8u3qampbNu2DUmSePPNN/nwww9p1qwZ58+f58CBAyxbtoykpCTefvttXn31VZo1a4a7u3uN9Th+XpSUlBAZGcm1a9cIDg7mwoULHD9+nIyMDAwNDenQoQOdO3fGw8OD/Px8Ll68yPnz57l48aLcI9fNzY1GjRphbW2NpaWlPLVv3x5PT89a3kKhNp05c4YRI0bg5ORE/fr18fDwwMPDg/r16+Pq6lptA74WFxcTERFBcHAw165dk9/PERERSJKEQqHAzc2Nxo0b4+3tzXvvvUedOnWqpW5BeF7l5+eTkJBAUlISRUVFKJVKedLX18fX15eioiIuXrwof67i4uJwdXWlfv368mfazs5O5NQXKhUVFcXBgwc5dOgQR44cISUlhZKSEgC0tLTkNHSOjo5oaGhw/PhxEhIS0NHRoU2bNvj7++Pv70/r1q3LpLATBEGoqtqOX4mgt1DdRNC7htX2QUMQhBfTtWvX+OKLL9ixYwcODg60bt0ac3NzYmJi+OCDDypMv5GSksKKFStYunQpUVFR6Onp4ezsjIuLC46OjiQlJREUFERiYiJwf2BCHx8fmjdvjre3N1paWhQVFVFUVERxcbF8v7zHCoVCLfe0iYmJfN/CwoImTZo8s0GAe/fusXjxYg4fPsz169fJz88HwMrKCh8fHzp06ICuri5JSUlcvnxZbRDIunXr0rJlS1q0aEHLli1p3rw5FhYWtbk5wkuoqKiIHTt2sGvXLq5du8b169flvPG2trZycNvb25vGjRvTqFEjDA0Na7nVQmWUSiWpqakkJCSUmZKSkrCzs8PLy4tGjRrRoEED9PT0CA8PZ/fu3ezZs4esrCzs7e3lycHBQe2xtbX1S32Ss7i4GG1t7UdapmfPnly6dImEhAQ0NDRwdnZGQ0NDHqxYpX79+ty8ebM6mys855KSkuTBvg8ePEhUVBQaGhq0bNmSV155haZNm1KvXj35Kp8HP5uSJHHjxg0OHTrE4cOHOXr0KOnp6dSpU4fx48czZswYbGxsamnrBEF4XtV2/EoEvYXqJoLeNay2DxqCILxYCgoKmDdvHgsWLMDR0ZH58+czaNCgR+4NWlJSwpEjRwgJCeH27dtqk2rQO7if01hfX1/O2/w4Xxn6+vrk5eWVeX7fvn107979kddXkyIjI1m4cCGrVq1CX1+f119/nSZNmsiBQSMjI/766y9+/PFHoqOjcXZ2LhPgtrKyqu3NEF5QV65cYceOHeTn55OXl0deXh75+fnyY7gfuMvMzJQHWG3WrBktWrRQC3KXzi8vPLuSkpJ47733uH37NgkJCSQmJpYZNFZfXx87OzssLS2JjY2VB0jV0NDA2tqahIQEdHV16dKlC3Z2dsTFxREXF0dsbKzasR5AV1cXLy8vmjRpIh/3mjRpgq2t7VPb5tr2sBOxFy5cwNDQEA0NDVavXs38+fPledra2hQVFZW73KpVqxgxYkS1tlV4PqWkpNC7d2/OnTsnP9emTRs+/vhjunfv/thpwEpKSggKCuLPP/9k7dq1KJVKBg0axIQJE/Dz83tmOxkIgvBsqe34lQh6C9VNBL1rWG0fNARBeLEsX76ccePG0aFDBw4cOICurm6115GTk8OdO3eIjo6WA+EXLlzgwIEDzJgxgwMHDnD+/HkMDAxQKBQUFxdTXFwsX4ZbEUNDQ1q3bk379u3p0KED/v7+z8yfsODgYL755hs2bNiAlZUVn3zyCe+//36Z43b79u05deoUAA0aNODVV1/Fzc1NnlxcXKotHYUgPKgqn5cePXpga2uLnZ0dw4YNw9vb+ym0TCgtNzeX6Ohobt26xa1bt4iKiiI7O5v//e9/NGjQoEz5w4cP8/PPP5OXl0dhYSGFhYUUFBRgaGhIdHQ0d+7cAe6nSRo+fDh16tSR0xyYm5vj5OQkvzfS09O5fv06169fJzo6mlatWtG1a9dye/EXFhaSkJAgB8Fv374tp+i4du2a2slKpVL5zByvn6aMjAy8vLyIjY1FoVDQsGFD7OzsiIyM5M6dO0iShIODA0OHDsXGxgZra2u1HvQWFhYv5X4TKpadnc2UKVO4evUq4eHhJCUlAeDp6cmBAwdwcnJ64jpSU1NZuXIlv/32G7du3aJ58+ZMmDCBwYMHo6+v/8TrFwThxVXb8SsR9Baqmwh617DaPmgIgvBiyc7OZsKECaxevZrXXnuNESNG0L17d4yMjGq0XkmSWLRoEdOmTaNz586cO3cOT09PRo4cSY8ePXB3dwfu9zRSpTmJi4sjMjKS+Ph4mjRpgo+PT63kmZQkiZCQEI4cOSKnAUhOTi5z6+zszNSpUxk9enSFfwrPnj3L8ePH5WDWrVu3iI6OlntfKhQKnJ2d+euvv+jatevT3EzhJRATE8PVq1fR19dHV1eXkpIS/vrrL9asWYOZmRnff/89o0ePru1mvlSys7P58ccfuXnzJlFRUdy6dYv4+Hh5vq6uLnXr1iUnJ4fExETGjh2LiYkJSqWSkpISzp49y5kzZ2jcuDH16tVDR0cHXV1ddHR0uHfvHkeOHCEnJwc9PT0KCwtRKpVl2jBy5Eg+//xzTExM7v9RfIKToYWFhRw+fJjVq1ezYcMG+fn8/PwaOcn6PFANSnzmzBnOnDlDUlIS7u7u8tSiRQuMjY1ru5nCcyojI4OrV68yfPhwAA4cOICHh0e1rFupVLJ3715+/fVX9uzZg7W1NdevX8fS0rJa1i8IwountuNXIugtVDcR9K5htX3QEASh5hQUFHD8+HHMzc2xsLDAwsICExOTp5IT9d9//2Xu3Llcv34dHR0d/P39adiwIZIkyZMqYLJ+/fpqSyOyc+dO3nvvPTl/qaouV1dXunfvzvTp06lbt2611FWZlJQUPvjgA3JzczE1NcXExAQDAwMKCgrktA+qKSIigoiICHR0dLC1tcXa2hpra2usrKzkWw8PDwYMGPBI+VyVSiVxcXGEh4dz4sQJDh48yKlTpzAzM+PEiRM0bNiwBveA8LK7d+8ew4YN4+jRowwdOpTvv//+pUpD8ay4du0aPj4+aGho8Pbbb+Pu7o6rqytubm64urpib2+PhoYGeXl5zJ07Vw4ka2pqyt8VH3/8MWPHji33+FNQUEBgYCD79+9n3759XL16lZKSEgwMDGjYsCGmpqYcPnxYbRkdHR35uFj6Vk9Pj7y8PHJycsjNzZVvS99Xpedo2LAhw4cPZ+jQoTg7O9fwXhQE4e7du3Tr1o3U1FRGjhxJu3btaNu2bbWlTJs3bx7z5s0jNTUVAwMDSkpKiIiIIDIyklu3bqGlpYWNjQ2urq54eXm9tCe5BOFlV9vxKxH0FqqbCHrXsNo+aAiCUHM++eQTfvzxR7XnNDQ0MDc3x8rKirp16+Lm5ka9evXUbquzV3ZkZCS7du1i9+7d8uXX8fHxpKamymUWLFjAtGnTnriuwsJCdu3axcGDB9mwYQPp6enA/bQlDg4OhIeHs2TJEj788MMnruth1q9fz5AhQ8qd5+fnh76+vjzZ2try6quv4u/v/8h/4jIzM+X0BKVvVT28VQMDAtjZ2eHp6cmvv/6Kl5fXE22fIFTm1KlTvPHGG+jo6PDXX3/RrVu32m7SS2316tWMGjWKsWPHsnTp0ho98Zmbm8v58+cJDAyUp5SUFPkqEzc3NxwdHbG3t0ehUJCRkUFmZiYZGRnk5+djYGCAgYEBhoaGarel73t7e9O8eXORlkMQnrLk5GQmT57M4cOH5fz8DRo0oF27djRr1gxHR0ccHR1xcHDAzs7uka6e6927N0VFRRw4cIDQ0FCGDBnCpUuXgPv56FVXn8D9E2ctWrSgTZs2tGnThrZt2+Lg4FD9GywIwjOntuNXIugtVDcR9K5htX3QEISXnSRJhIeHExAQwN69e8nLy8PR0REXFxc8PT3l6XEGDho9ejQrV65EV1cXV1dXXF1dadmyJQYGBiQlJREVFUVkZCSRkZHk5OTIy9nY2ODm5oaXlxfTp08v9zLWQYMGcenSJfT09OTJ1NQUZ2dnWrduTadOnSrsUb1jxw769+/P7NmzmTRp0mMPiqQSHR3NH3/8wZ9//kliYiJmZmYYGhpSXFxMamqq3DOwR48e7N69+6mlMMnJySEoKIguXbrIz6WkpGBhYfFI67h9+zZRUVFER0eXuS198sDQ0FDO3V26J6ebmxt169bFwMCgWrdPEMrzzz//MHr0aNq0acOmTZuwsbGp7SYJ3B+ocPTo0XTv3p2pU6fSpUuXGg0aS5JEXFwcN27cYNeuXfzzzz+kpKTI862trUlMTKyx+gVBqDmSJHH79m1OnTolTzdu3FAbKFWhUGBraysHwR0cHLCysiI7O1s+0VX6pFdkZCRff/015ubmTJo0CRcXF77//nsaN26Mo6MjCoWC1NRUIiIiCAoKIjAwkNOnT3P79m0AnJ2dadu2LW3btmX06NHljhMgCMLzr7bjVyLoLVQ3EfSuYbV90BCEl9mdO3dwcXFRe05HR4fCwsIyZefMmcOXX375SOuPi4vjhx9+YNGiRfJzlpaWHDt2DG1tbbS0tDAyMsLa2pqkpCT5ElLVrSrH9Oeff87UqVPVeiF7e3tTUFBA7969yc/Pp6CggJSUFEJDQ4mOjqaoqAgvLy969+7N+++/j5ubm7zshQsX6NChAwUFBXTv3p1Ro0bRuXNnzMzMqjzIYklJCXv27GHZsmUEBATIgff09HQ8PT3x8PAo04Pdw8MDTU3NR9qH1eHatWu8/fbbhISE8P777/Pbb7+VWy4gIIATJ06oBbVLB4W0tbVxcXHB1dWVunXryreqQLeVlZXo+SjUukaNGuHs7MzOnTsfKR2PUPO2bdvGl19+SXBwMN7e3kycOJGhQ4dW68BxkiQxadIkVq1aRVZWFgBaWlp4eHjIJ3EbNGhAgwYNMDQ0JD4+nri4OJKSknj11VepX79+tbVFEISnR6lUkpKSQmxsLPfu3Sv3NiUlBSMjIzml0YPpjS5fvkxAQADjxo3jhx9+qNLJ+tjYWE6fPs3p06fZsWMHERERbNiwgbfeeuspbLUgCE9bbcevRNBbqG5Pf0QxQRCEpyQsLKzMc6qAt7a2Nvb29nIP6sGDBz/y+u3t7cv0pEtJSaFx48Zqz9na2tK8eXNatGhB8+bNGTFiBHXq1CE/P5+vvvqKuXPnsnfvXvbv3y/3nHn11VdZsGABzs7OfPjhh2oB8czMTA4cOMDSpUtZtGgRhYWF/PTTT/L8Fi1aEBcXx8aNG1m5cqXaHxN9fX1MTU0xMzPDzMwMU1NTgDI5XtPT08nKyqJFixZ8+umnfP/99+Tn58t5vPPz88nJycHd3Z2ePXs+1WCwJElER0dz5coVrly5wu7duwkJCcHU1LTCnMahoaH07dsXJycn3N3dadSoEX369JF76NetWxcHB4enko9dEJ6EpqYm7u7uIuD9DBowYAD9+/fnyJEj/PTTT7z33ntMnz6d9957jw8++AAnJ6cnrmPp0qX88ssvTJs2jbZt2+Lp6Ymrqyva2trMmjWLuXPnlrucjo4OX3/9NevXr6ddu3ail6YgPGc0NDTkMUl8fHweadkjR44wfPhw8vLy2Lp1K7179yYtLY3bt2+TmppKWlpalW5TU1Np27Ytb7zxRg1tpSAIwvMpKCiIWbNmcfr0aQoLC2nUqBEff/xxhek4y6NUKvntt99Yvnw54eHhGBkZ0aVLF+bPn1/myvBVq1YxatSoStfn7+/PoUOH1J7LzMxk9uzZbNmyhfj4eOzs7HjjjTeYPXt2hUH+devWsXjxYkJCQtDR0aFNmzbMnTuXli1bVnnbapPo6V3DavtMmSC8bIqLi9mzZw9//PEHAQEBKJVKeZ5CoUBLS0vt8lCAOnXqcPv27ccK3Obl5REeHo6GhgbFxcUUFRVRXFwsT2lpaVy+fJkLFy5w4cIFEhISgPt/XszMzDA3NycjI4Pk5GRee+01duzYAdz/0ps2bRqLFi3C0NAQf39/GjRoQFRUFNevX+fWrVsUFBRgamrKzJkzMTMzQ0NDAw0NDby8vGjRooXc6zosLIzQ0FDS09PLnTQ0NMrkeFXV6eDgwJQpU9i6data/urSfHx8mD59OgMHDqyx1CZKpZJFixaxc+dOrl69KvdwtLS0pEOHDgwbNow+ffqgp1d+j4Bly5bx/vvvY2dnR9OmTWnSpAlNmjTBx8eHBg0aiACi8Nxo1aoVTZs2Zfny5bXdFOEhIiMj+eWXX1ixYgVZWVm4ubnRrFkzmjdvTrNmzWjZsiXW1tZVWldKSgqHDx9m2LBhvPfee/zyyy9lyvzzzz8MHz4cgMGDBzNx4kTs7e2xs7MjPz+fPn36EBgYCIC5uTmFhYUYGRkRGxsrTvgJwgtq+fLljB8/HkmSMDIyQpIktZR7penr62NhYSEP0P7graWlJYMGDcLS0vIpb4UgCE9Lbcevnsee3kePHqVHjx7o6OgwePBgTE1N2bp1K1FRUcyfP5/PPvusSut57733+OOPP/Dy8qJPnz4kJCTw77//oqenR2BgoNqYUZcvX2b79u3lrmfz5s2EhITw7bffMnXqVPn5nJwc2rdvz+XLl+nWrRvNmzfnypUr7N27l6ZNm3Ly5MkynSK+/vprPv/8c5ydnRk4cCDZ2dls2LCB/Px89u3bR+fOnau0bbVJBL1rWG0fNATheZCcnMzx48cpKiqSA7eamppIkkRiYiL37t3j3r173L17Fx8fHxYuXFjhur766is5TYm1tTXDhw+nV69eODs7ExsbS1hYGMHBwRw9epRr164B979gfv/996eyrXFxcVy8eJF79+6V6UHj4ODAzz//rFb+2rVrBAQEsGfPHmJiYqhXrx4ZGRkEBQU9tK7qGMDy+vXreHt74+Liwquvvkp4eDg3btwgOjq6TNl69eoxf/78ar3ktaSkhJCQEL788kt27tzJG2+8QYsWLfDx8cHHx0cerO1h8vPz2bVrF1evXuXKlStcvXpVzlOpo6NDw4YNsbe3l3u/V3arum9oaCjSnQhPXYcOHSgpKWHHjh1VDpgKtSszM5Ndu3Zx8eJFjh8/zvnz5wEwMDAgOTm50vQnu3fvZvLkyURERADQvn17Dh48WGZQ3pKSErWTjn5+fowZMwZXV1dsbW0JCwvj/PnzrFixQj75qlJUVPTUxmIQBOHp2rRpE9u2bcPCwqLSgLa5uTk6OjpER0cTHBzMtWvX5Nu4uDgaNmxI06ZNadq0Kc2aNaNRo0YVdjQQBOH5Vdvxq+ct6F1cXIynpyd3797l9OnTNGvWDICsrCzatGnDzZs3uX79erljeJV25MgR/P396dChAwcOHJB/5x06dIhu3brRoUMHjh079tD2FBYW4uDgQEZGBnfv3lW7Clp1ReDUqVP59ttvyzz/5ZdfMmfOHPn58PBwvLy8cHNz49y5c/IV4iEhIbRq1Qp7e3tCQ0Of+d+QIuhdw2r7oCEIz6rbt2+zfft2tm/fzvHjx9V6ZJemoaGBnZ0dTk5OREdH4+TkxIULFypcb1JSEps2beLMmTOcOXOG8PDwMutzc3OjQYMGeHp60qFDB/r161et21aTCgoKCA0N5csvv+TEiRMUFBSQl5dHeYfyn376iYkTJz5xnZMmTWLp0qWcP3+eJk2aAPfPFN+8eZMbN26oTXZ2dhw+fPiJ6jt27BgBAQGcPXuWCxcukJOTg4mJCWvXrqVv375PvD0q6enpXLt2jatXr3Lt2jUSExOJi4vj2rVrFfaCKs/PP//MRx99VG3tEoTKbNy4kbFjxyJJEtOmTePjjz8WqSqeExERETRv3pysrCxMTEz49ddfGTZsWIXlMzMzqV+/Pg0aNOC9997Dz8+PevXqVXiybd68efz7779YWloSFRVFTEyM2neDjY2NfMJQNXl6eoorXQThJXb69GlWrVrF5cuXCQkJkX//mJmZ4e3tjbe3N/b29hw7doyDBw/Ky2lqavK///2PBQsW1FbTBUGoAbUdv3regt779++nR48ejBo1ihUrVqjN+/fffxk8eDAzZszg66+/rnQ9Q4YMYf369Rw7doyOHTuqzevVqxd79+7l5s2bDx2bRVVn//792bZt2/9tlyTh5OREZmYm8fHxav8d8vPzcXBwwMDAgJiYGPl35meffcY333zD6tWreeedd9Tqef/991m2bBn79u2je/fulbaptomgdw2r7YOGIDxLbty4webNm9m+fTsXL15ER0eHV155hf79+9O7d29MTExQKpWUlJSgVCqRJAlzc3P57KGvry/e3t5lvlAqk5yczLlz58jPz8fT05N69eqV6SH3vEhLS6NTp05yD/UHaWlp4e7uTteuXenXrx+dO3d+5GDGrl27OHDgANHR0dy+fZvbt2+TkZEBUOascE0xMDAgLy9Pfmxra0uTJk3Q1dVlypQpZX4IPIm8vDzef/99QkJCuH37NklJSfI8hUKBg4MDVlZW6OvrU1BQQH5+Pnl5efKkVCo5fvy4fFZfEGpCdna2nMM+PT2d2NhY/vzzTwoKCrC3t+fvv/+ma9eutd1M4SFycnKYN28eAQEBXLt2DQ0NDfz8/OjVqxc9e/akRYsWamlGpk+fzs8//8zNmzepU6fOI9dXWFjInTt3iI+Px93dHTs7u+rcHOElU1BQoHaFmmrKysqiV69euLq61nYThSpSKpVs3bqV77//njNnzuDm5kaHDh1o3Lgx3t7eNG7cGAcHBznwoTpR9yCFQsHAgQMxNzfn1VdfrdaOCYIg1I7ajl89b0FvVWB4/fr1ZcYIS0tLw8LCgrZt23Lq1KlK1+Pg4EBmZiYZGRlyilKVxYsXM3nyZJYvX87YsWMrXU/37t05cOAAu3fvpk+fPvLzYWFhNGjQgB49erB3794yy/Xv358dO3YQFhYm90pv27Ytp0+fJi4ursxvyO3btzNgwAA+++wz5s+fX2mbatuz3Q9dEITnnlKpJCAggB9//JEjR45gbGxM7969mTp1Kr169ar0y0SSJHJzc9m3bx/ff/8958+fZ9y4cY9Uv5WVFb179y53XnFxMQEBASxfvpxz585hb2+Pk5MTdevWZdq0abi4uDxSXY8jMTGR06dPExERgb6+vpxP++LFi2RnZ/PZZ5/JXzKjRo3i2rVrDBo0iL59+2JlZSUHYvPz88nNzeX8+fNs3ryZX3/9FUNDQ3n/Pnh+087OjuHDhzNs2DBsbGzk52fNmsWtW7do164d7dq1Y8iQIdStWxcXF5enFtj9888/+fHHH9HU1CQ6OpqEhAQOHDgAgIeHR7UGvZVKJXfv3pXTDZiYmDBhwgRGjRqFi4uL6AEp1IqMjAyWL1/OxYsXuXjxIuHh4UiShLa2NmZmZujq6uLo6Iiuri66urrExsbWdpOFKjA0NOSbb77hm2++4e7du+zbt489e/awaNEivvzyS/m1VZ1cKywsZNasWY8V8Ib7qZvc3d1xd3ev5i0RXnQFBQVcunSJs2fPcvbsWc6cOUNUVFS5ZRUKBdra2nz88cd8/vnnopPPc2Du3LnMmTOHzp07s3PnTvr06VNpXn8jIyP++ecfLl68iKWlJVlZWfJJj9TUVK5cucLq1avl37MHDx7kzp07KBSKCidVOsN69erh5+eHn58fjo6OT3EvCIIgVCwzM1Ptseo394NUV5WXl77E3NwcKyurMleePygnJ4e4uDgaN25cJuBdet0PW8/t27c5dOgQjo6O9OzZs8rtfLCO0veNjIzK7TRR1TY9C0TQWxCEGpGdnc2qVav46aefiIiIwM/Pjw0bNtC/f/9yvzBiYmI4deoUgYGBnDp1isjISLKysuS0J61atWLdunU4ODgwbdo09u7dS3FxMc7Ozri4uMiT6rGDg0O5Xxoq586dY8CAAcTGxtKqVSsmTJhAUlISMTExbNmyhaCgIAIDA6sl6Ll161YSExPR09NDV1eXjIwMTp8+TWBgoJyn1cDAgIKCAkpKStSWXb16NfPmzeODDz6gb9++3Lt3j82bN7Np0ybq16+Ps7Mzpqam8uTq6sr06dO5c+cO+vr6avu69CXxwcHBzJgxg2nTpjFv3jw593fbtm25fv064eHhxMTEEBQUJH/JqwY4sra2xtraGisrK8zNzcnLyyMzM5OsrCz5tvT9zMxMiouLsbe3x9HRUZ6cnJzk+6ampuTk5HDu3Dlu3bqFjY0Np0+fJi0tDYVCQePGjWnbti3vvvvuE78epRkaGnLw4EGioqJYt24df//9N19//TUrVqxg8ODB9OrViw4dOlSac1cQqtu5c+fUBp5xc3Nj2rRpvPPOOyKH6gvCycmJd999l3fffZeioiLOnDnD8ePHkSQJPT099PT0sLS0ZODAgbXdVOE5V1xcTFRUFGlpaWRmZso9ycq7zczMJCkpiWvXrlFYWIiuri7NmzenX79++Pj4YGlpibm5udqUmJiIv78/CxcuJCcnhyVLltT2Jr+0JEnixo0bnDx5khMnThAaGopCoUBTU1MeL0dDQ4PAwEBmzpzJV199VaX1KhQKhg4dytChQ8udn5WVhbu7O82bNwfA09MTLy8vJEkqM6mu5FRd2blu3Tp5rB4nJyf8/Pxo3bo1fn5+tGjRAgMDg+rZOYIgPF+MLUG7Fv5/Fd2/2vjBDgezZs1i9uzZZYqrrohW5bt+kImJCXfv3q20yqqso3S5iqxcuRKlUsmoUaPKxEEep46MjAy1znGP06ZngQh6C4JQ7WJjY+XeGnp6eqxevZq3336brKwsIiIiiI+PJy4ujtjYWC5dusSpU6eIiYkBwN3dnXbt2vHWW29hYmKCiYkJ7u7upKWl8e6773Lv3j1sbGzo3bs3xsbG3L59m7Nnz7Jx40bS0tLkNmhqauLk5ISXlxcDBgxgwIABWFlZyfP19PQoKirCyMiIjz/+mMGDB8tB4fPnz9OmTRt5BOWsrCyuXLlCUlISBgYGGBgYYG5ujo+Pz0MHMiwsLOSNN95Qe05TU5NmzZrRu3dv2rZtS9u2beUv1sLCQnJzc8nPz0dHR4fPP/+ciRMnYmJiwpgxYxgzZgwpKSkcOXKEY8eOkZiYSHp6Onfv3iUjI0OecnNzMTAwYMSIEUycOBFPT88ybTt37hx+fn4EBgZy69YtXF1d+d///oe5uTn5+flyL/KCggI5d/itW7c4e/YsSUlJavtbS0sLExMTjI2N1W7NzMxwdnZGQ0ODuLg4zp49y71799TSiMD9oH9+fj5KpRJTU1Nat27Nxx9/TJs2bfDz86vxnmOurq58/vnnfPbZZ5w/f55//vmHjRs3snjxYvT09OjYsSPNmjWjqKhI7llfupe9ah8VFxdXOsH9956+vn6ZydzcHF9fX/z8/GjcuPEzPyiIUHO6detGXFwce/fuZc+ePezbt49x48bx+eef8+abb7J48WJxFcILRFtbmw4dOtChQ4faborwnMvPzyc4OJiLFy9y6dIlLl68yNWrV8nPzy9T1sDAABMTE0xNTdVumzZtyogRI2jdujU+Pj5oa2uTmppKREQEkZGRXLp0iYiICPmx6qT+Bx98wIwZM2phq18csbGxrF27lqysLLVUarm5uWqPra2t6datG127diU1NZUTJ05w4sQJTp06RUpKivw708fHBw0NDTltoCrQPHHiRD7//PNqa7exsTE7duzg5s2bdO3aFScnp0febtUVBWfPnmXWrFny79ixY8fyySef4OzsXG3tfVmoUqNFREQQHh5OREQE6enpFBQUoK2tjZaWFlpaWmXum5qa4uHhQf369fHw8MDZ2bnSjkSC8CKKiYlR+//5rKdHVSqVrFy5EoVCwejRo2u7Oc8UkdO7htV2TiRBqA35+flV6hlrbGxMo0aN5FQabdu2VRthGO5fYvvZZ5/xww8/0L17d+bOnYuvr2+5l2FmZWVx584dORf1nTt3OHv2LMeOHUOhUODv78+bb77JgAEDsLS0JCkpiQkTJrBx40Zef/11fvvtN7n+f/75h5EjR5bpeV3ali1beP311x+6nYaGhsybN4+PPvpI7s1dXFyMrq5ulQagc3BwYNy4ccyaNavCMsXFxWRmZmJhYQFAfHw8v//+O7/99huJiYn88ssvTJgwQW2Zy5cv89prr8knHMzMzGjfvj3vvPMOr7766kN7lBYXF5ORkYGhoSFaWlrcvXuXW7dukZKSQm5uLjk5OeTk5Mj3c3Nz0dHRwdDQEF1dXYqLiykoKEBXVxdjY2NMTU1p06YNDRs2rPQy26dFkiSuX7/O/v372bdvH2FhYejq6sq9MFU991X3dXR01P44aGpqyvdVkyRJannBS9+Pj4/n2rVrlJSUYGBggK+vL61bt5YnkY/35VVcXMyZM2fYsmULixcv5vDhw3Tp0qW2myUIQi1SBbRUwe2LFy8SEhJCcXExGhoaeHl50bx5c5o3b463tzeWlpZyYNvExKTMidWMjAxu3rxJaGgoYWFhREZGysHt9PR0uZyNjY2cNqdevXq4u7vzyiuvVNgbTLj/eyI2Npb09HT5ajjVlJ2dLd9fsWKF/FtOX18fAwODck+SR0dHc/r0afk3qr6+Pq1bt6ZDhw60b9+e1q1bY2xsXMtb/fiKi4sJCQlhy5YtLFmyhKysLH755RfGjx9f2017bqSmpuLr68utW7cAcHR0xMPDA3Nzc/T09NQ6ZBQVFak9Tk5OJjIykqKiIuD/UmWVDoTXr1+f+vXrY2dn99AOQMLzpbbjV3JO7x6LUNRCT2+pKI+Cff+r8vYPGjSIzZs3c/78eVq0aFFmvrW1NQqFgsTExArXkZOTg5GREY0bNy537K6AgAD69u3LlClT5CtjHrRv3z569uxJ165d1QYdfnAdEyZM4Jdffikzf8qUKSxatIiAgAA5Nay1tTX5+flkZWWVKR8SEkLjxo0ZNGgQGzdurHDbngWiG5kgCNVOT09PvowxLi6O0NBQbt26hZmZGfb29tjb22Nra/vQgO+NGzcYMmQI169f54cffmDSpEmVBkNVQfRGjRqpPZ+QkMC2bdvYuHEj48aNY/z48fj4+GBiYoKhoSFWVlZs3bqVY8eOsXHjRvz9/Rk2bBg+Pj4cP34cc3NzmjZtiqOjoxzAHTRoEKtXr65S0NvGxoYvv/ySuXPnkpOTI/+ItLCwIDk5udIfi6GhoSQnJ2Nubq72/Pnz5zlz5gyXL1/m8uXLBAcHU1BQQLdu3Rg3bhyvvfYas2bNYvr06bzxxhusWbOmTNC7adOm3Llzh4SEBC5evMiFCxcICAjgzTffBJADuvr6+ujp6cmBadWfZgMDA+7du0dkZCTR0dHydqloaWnJOcpVPeQLCwvlYHhOTg4FBQXA/cD+4MGDad68+TMR8Ib7l/Oq3k+TJ09+KnXm5uZy8eJFzpw5w5kzZ/j777/lwUNdXFx46623nspgosKzRUtLi/bt29O2bVvWrVvHvn37RNBbEF4ysbGxnDx5Uk5dcfXqVZRKJTo6Onh7e9OqVSvGjRsnB7nLSwtRehyL0NBQtSkuLk4u5+DggIeHBz4+PrzxxhtygLtevXqiE08VSJLErVu3OHLkCIcPH+bo0aNq+7c0bW1tjI2NMTY2pmXLlvz5559lOoCUJyMjg5MnT2JlZUWzZs3Q0dGp7s2oNVpaWvj4+ODj48OQIUNo2LAhOTk5td2s54ZSqWTo0KGkp6dz+vRpmjRp8shpYoqLi7lz5w5hYWGEh4fLt1u2bCE6OlpOP2lkZMSIESPktEYxMTF899136OrqqqVDtLa2xsbGBjs7O5GyRnihlM5t/WDQOy0tjeTkZNq2bVvpOgwNDbG3tycqKoqSkpIyV1Y8LB83wF9//QXAmDFjHtrO8pRXh4eHB6dPnyY+Pr5M56uqtOlZIXp617DaPlMmCM+rgwcP8tprr5GXl8e7775L//79cXV1RU9PT04lUVhYKN+v6HFaWhqBgYFyLmwzMzO2bt3KpUuXyMnJITs7Wy0I+8EHH1Tak0SSJL7//numT5/OoEGDWL9+/UO3Zdu2bVy+fBkjIyOMjIwwNDTk+PHjrFq1ivz8/ArTWEiSRNeuXblz5w7BwcHo6elRUlLC1KlT+eGHH9DW1qZx48Y0bdqUpk2boq+vz8qVKzl9+jR169Zl586deHt7s2LFCsaOHcvFixfx8fF5aHtDQ0M5efKknLpD1RM5KytLLf9ndnY2Dg4O8h9hNzc36tWrh42NDYaGhlVKv1BcXMz58+dZt24d//77L4mJifz555/Vnrv7eXb37l3OnDnDsmXLuHDhAklJSSL1yUtm+fLlBAcHk5CQwMGDB6lXrx7nzp2r7WYJglCDkpKS2LFjBydOnODkyZNyj8169erRoUMH2rVrR8uWLfHy8qow4ClJEiEhIezcuZPdu3dz5coVcnNzgfsntuvXr4+np6faVL9+fYyMjJ7adj7PwsPDCQwMpLCwkMLCQvLz87l27RqHDx8mJiYGDQ0NWrZsSZcuXWjbti1WVlZygNvIyAhjY+Nn/pL52nDnzh0OHjzIgQMHOHjwICUlJdy+ffu57r3+NP3++++MHz+eIUOGsHDhwmofILSgoIBbt24xcuRIzp07x+LFi5k0aRKSJNGuXTtOnz4N3M/5++BggHD/ylJHR0ccHBzUbh0dHenUqRNmZmbV2l7h0dR2/Op56+mt6mE9atQoVqxYoTbv33//ZfDgwcyYMYOvv/660vW8/fbbbNiwgWPHjtGxY0e1eb169WLv3r3cvHmT+vXrl1k2JSUFBwcHjIyMiI2NLfd7RZIknJycyMzMJD4+Xq3zYX5+Pg4ODujr63P37l25Q96MGTNYsGABq1ev5p133lFb3/vvv8+yZcvYt28f3bt3r3wn1TIR9K5htX3QEITnVWBgILNnzyY6Oprbt29TWFj4xOv8999/5V7MAMnJyQQHBxMcHExiYqIcBFcFwlX3H3ycn58vDwD5uMFH1Q9SbW1t6tWrR/369dHS0iI9PV2e0tLSSEtLY+/evfTo0QOAcePGsXz5ctq3b88vv/xCkyZNyvSMvnr1qtyTPSMjg8LCQpo1a4a+vj4zZ86UB/00Nzd/pi5JzMrKolOnTsTGxnL37l0R2H3AsmXLeP/99zE3N6dPnz7069ePHj16iD+BLzilUkn9+vWJjIxEX1+ffv368corr4gTQ4Lwghs1ahSrVq3Cx8eHTp060b59e9q3b4+9vX2lyxUXF3Py5El27NjBzp07uXXrFoaGhvTs2ZO2bdvKwW0XFxeRp/cxpaSkMGfOHJYuXSqP16Grq4u2tjbu7u74+/vTpUsXOnToUOGgYcJ9GRkZnD9/nnPnzslTbGwsCoWCli1b0q1bN4YMGVLmKk6hYleuXGHGjBkcPHiQoqIi2rVrx8CBA3n99dfl3OiSJJGcnCzn+o6Pj0ehUKChoaE2lfechoYGR44c4Z9//uHXX3/lgw8+AO4fezp27MiZM2eQJAkTExN8fHxwd3fH1dUVXV1dtf9TKSkpBAUFcefOHbntlaVvEJ6O2o5fPW9B7+LiYho0aMC9e/c4c+YMTZs2Be7/r23Tpg03b94kJCREDlYnJyeTnJyMlZWV2nhjR44cwd/fnw4dOnDw4EH5ZPahQ4fo1q0bHTp04NixY+W2YfHixUyePJmJEyfy008/VdjWWbNmMXfuXKZOnap25bDq+S+//JI5c+bIz4eFhdGoUSPc3Nw4d+6c/H0WEhJCq1atsLe3JzQ09Jn/zy6C3jWstg8aglCblEql3INakiRsbGwe6w+WUqkkNjZWTqGho6ODrq6uPKkeT5w4kc2bNwPQuHFjeeT3Ro0aoaGhQWhoqBzkVvWahPuXltra2sq9sFU9sit6rPoD+iSKioo4duwYN2/elC8ZlCQJMzMztalRo0b07dtXXu6HH35g5cqVhISEIEkSxsbG1KlTR+45ZGxsTGZmJocOHWLs2LEsX74cgDNnztC7d2+1wSeNjIzkALhqqlOnjvwlbGlpiZWVFQYGBhUGx0tKSsjOziYzM1NtysrKUnusoaGBnZ0ddnZ22NvbY2hoSFRUFOHh4fJ07tw50tPTGThwIOvWrXvmv0CfNkmSCAoKYteuXezcuZOrV69iYGDA33//XaU0O8LzKyMjg08//ZS//vqLbt268eeff4pBvQThBVZSUsLChQv57LPPWLNmDcOHD6+0fFZWFnv37mXnzp0EBASQlpaGg4MDr732Gq+99hpdunR56DgdwsMVFRXx66+/MnfuXIqLi5k5cyYTJkxAX1//mepE8KySJImrV69y8uRJOcAdGhoK3E9R6OvrS6tWrWjVqhWdOnWSx6kRHk9aWhq7du1i8+bN7Nu3j8LCQjn9Qnh4uFovbFXvatWAp5IkyfdLT6rQkZ6eHr///nuZ3p9w/zfLhQsXOHv2LOfOnePs2bPlpvfR0dGhsLAQXV1d+vTpw+DBg6s0ppBQs2o7fvW8Bb3hfsC6R48e6Orq8vbbb2NiYsLWrVuJiopi3rx5agMHz549mzlz5jBr1ixmz56ttp6xY8fy559/4uXlRZ8+fUhISODff/9FT0+PwMBAvLy8yq3f29ub4OBgrl69ire3d4XtzMnJoX379ly+fJlu3brRokULrly5wp49e2jatCknT54sk352/vz5zJw5E2dnZwYOHEhOTg7r168nLy/vuUm3KILeNay2DxqCUFPOnz/Pzz//rNYb+sEe0apLaOF+fmRtbW3c3Nzw8PDAw8MDJycndHR05AEAH7yvq6tLs2bNyuSzrsjChQuZNm0aABoaGnK+ORUNDQ3c3d1p3Lix2uTu7l6lVBzPkszMTLlnTHx8vDwIUlpaGnl5eYwePZq33npLHlhRQ0MDSZJITEyUB/osb8rIyChTl6amppxa5cEfvw9jaGiIsbExJSUlJCcn8+BXjq6uLvXq1cPDwwNvb29GjRqFm5tbte2nF1lUVBTTp09n06ZNLF68mIkTJ9Z2k4RqIkkS27dvJzY2Vk4xlJ+fz3///celS5cwMjJiw4YN9OnTp7abKghCNbp27Rpr1qxh7dq1xMXF4enpyfLly+nQoUO55S9cuMAXX3zBoUOHKCwspEmTJvTr14/XXnuNFi1aiEBsNdu8eTODBg3CycmJ06dP4+TkVNtNei7k5+fz2WefsXbtWhITE9HW1sbHx0cOcLdq1YoGDRo8M2O6vIgyMzMJCAhg9+7dGBgY4OHhoTYg7cPGWVJRjdkEVPn1Ug3kmpCQIKdJVE3m5ub07dtXxEmeIbUdv3oeg94A586dY9asWZw+fZrCwkIaNWrExx9/zNChQ9XKVRb0ViqV/Prrr/z+++9ERERgZGREly5dmD9/frlpTVT1+vn50apVK86ePfvQdmZkZDBnzhw2b94s5+oeOHAgs2bNqvDKpLVr17J48WJCQkLQ0dGhTZs2zJ07F19f36rtnFomgt41rLYPGoJQU3bs2MGbb75JYWEhLi4u+Pv7l+kVXbp3dFFREbGxsXKv5vDwcOLi4igqKqo0dYmmpiYdOnSgb9++DBw4EBcXlwrL5uTksHr1aiRJQktLS550dXVp0KABnp6e6Os//S/Pyqhyjz9uiorCwkIOHjzI/v372b9/P7du3ZIHhyxNoVCgp6dHnTp1cHV1pW7dumq3LVq0QFNTU77cUHXpVUpKipwiRUNDA01NTbXLGzU1NTEyMsLExESejI2NMTExwcjISK23dnFxMYmJiXKQvm7dutSpU0f8yXkCSqWSadOmsWjRIj755BO+++47sT9fANnZ2Tg5OamdhDI3N8fGxgY9PT309PSYNGkSb7/9di22UhCE6hAfH8/69etZs2YNly9fxtLSkiFDhvDOO+9UGLjOz89n9uzZLFq0CC8vL8aMGcNrr71G3bp1n/4GPKeKioqIi4ujpKRE7iCgra0tT6rfkLm5uaSnp5ORkUFCQgLTpk0jKCgIb29vNmzYUGHPO+H/rFixQi0ll52dHQ0aNMDLy4vGjRvTqFEjGjdujJGREVeuXOHcuXPo6enx7rvvihM3T5kkSWRlZZGSkoKxsbFa+gXh5VDb8avnNegtPLtE0LuG1fZBQxBqUmhoKOPGjeP48eOMHTuW33///bF+nEqSRElJiTwQkCoQnpWVxdGjR9m9ezeHDh2ioKCAbt26MWbMGPr16/fUR6qPj48nODiYpKQkCgoKyM/Pp6ioiBYtWuDn5/dIqVtCQ0NZtmwZq1evJj09nbp16+Lt7U2TJk0wNTUlNTWV1NRUUlJSSE1NJS0tjYEDB6pdHhUbG8vrr7/O2bNnqVOnDj169KBly5bY2NhQXFwsT0VFRRQXF5Obm8udO3eIjo4mKiqKyMhIsrKyAPjtt994//33y7QzJyeHqKgo7t27R2xsLLGxsWXuK5VKIiIiyu0lkpqayo0bN7h+/bp8a2pqytdff029evWA+5eE/fzzz0RFRclB9PImW1tb+vTpIy8n/J8lS5YwceJEBg4cyJo1a8SloS+A9PR0tm3bxrp16zh06BAWFhbExcU9d1elCIJQsWPHjtG5c2f58Q8//MCHH35Y6e+bU6dO8e677xIVFcWsWbOYMmWKOC48xNGjRwkICODOnTvExMRw584d4uLiqnTFWkU0NDRYuHAhn376aTW29MWkVCq5dOkSsbGxxMTEEBMTQ1RUFCEhIYSGhsp50VVXaWpra1NUVMQPP/zAhAkTOHDgADExMcTFxREXFyf3GtbQ0JA7WpRO8/fg5OrqSrNmzR653dHR0XzwwQcYGBhgY2ODtbW12mRpaYlCoZB7P0uShEKhoH79+hgYGFT3bqwRRUVFbN++nd9//53g4GBSUlLk1wOgadOmdOvWjW7dutG+fftnrvOQUP1qO34lgt5CdRMJUwVBeGyenp5MnDiRwMBATp48SUlJyWPlYVYoFHKPmgd/JHp6ejJ+/HjCwsKYNm0a27dvZ//+/djY2LBo0SIaNWpEo0aNyh2luDqoAvBr165l3LhxavNUvZ6LioqwsLBg8uTJzJw5s9L1Xb16lUmTJnH06FGsrKwYN24cDRs2JDg4mGvXrrFixQpyc3OxtLTEwsICCwsLbGxsiIqKYubMmTRq1Ij+/fuTkpJCy5Yt0dDQ4MSJE7Rr1+6RTjjs3r2bSZMmkZ+fz+TJk9Vy8kmSxOnTp1m+fDkbN24kLy9PnmdtbY2DgwP29vaEhISQm5vLhAkTMDAwQJIk1q1bR2BgoBzgVuVN19DQwM3NjYYNG3L27FkaNWrEtGnTmD59Or/++isnT57kjTfeQKFQyOlxUlNTuXPnjvw4Li6OSZMm0aRJEwYMGMDrr7+Ot7e36AUETJgwAUdHR4YMGcIrr7zCjh07sLS0rO1mCQ9x+/Ztzp07ByBfLlxSUkJCQgIxMTHcvXuX3NxcFAoFgwcPFoEtQXjBPDgoZU5OToUB76ysLGbOnMkvv/yCn58fW7duFb2Mq+iLL77g6tWrtGzZkvr16/PKK6/g7OyMk5MTWlpacgcB1VS6w4CBgQFmZmaYmprKt6amphgZGYnfH1WkoaFBixYt5HzSpRUWFhIeHk5wcDBpaWm0aNGCJk2aMHPmTKZMmcLSpUsJDw9HQ0MDW1tb+Teoj48PSqVSTu+XkJAg31eNLVP6StL9+/fTrVu3R2r3qVOn2LNnD6+88gqRkZEkJSWRlJRU6RWqAAYGBvTu3ZuBAwfSu3fvZ3bA8Y0bN/LWW2/Jj/v374+rq6t8JWhaWhoHDx5kzZo1fPfdd2hpabFmzRpxlZkgCM8VEfQWBOGxFBcXM2XKFBYvXszAgQP5888/q3Xgwfz8fI4dO8Z///1HQEAAkZGRAHJwOzExUQ7Uamlp4eXlxdy5c+nXr5+8DlVKFUdHxwrblpeXJweZVW7evMmXX35JcHAwYWFhFBcXY21tLc93cnJizpw5DBs2jMLCQrp3787p06fJzs5+6HYFBgZy9OhRLCwsCAgIoFWrVpWWP3r0KNOnTyc6OpoOHTrII0IHBwcTFxfHxYsXq9x7pbi4mJCQEGbOnMnu3bvp1q0bAQEBeHp6ymWuXbvGkCFDCA4OxtXVlZkzZ9K5c2ccHR2xs7OT9/+cOXPYu3cvX331FZ9//jlFRUWMHTuWNWvW0KhRIxo2bCgH9L28vKhfv77c+zg3N5evv/6aBQsW8Pfff1OvXj2Sk5MJCwvj888/x9/fv9w/kjk5Oezdu5etW7fy448/MmfOHNzc3OTX4mU3YMAAjhw5wquvvkqbNm3477//cHd3r+1mCZX49ttvWbp0aZnn9fX1qVOnDk5OTri7uzNw4EAmTZpUCy0UBKEm3Lp1i19//ZW//voLDQ0N+vfvz6RJk8rN3S1JElu3bmXSpEmkpqby/fffM3HixMcaGPxpkCSJ0NBQTp06hZ6eHvb29nKg0tTUtFYCxVZWVrRr147//vvvqdctVE5HR0fuwFLaN998Q3h4OFlZWaxfv56mTZs+8nteddVo3759GTNmDK1atUJfXx8DAwP09fUfOgUFBaGrq8v+/fvl960q/UdSUhKpqaly726434mnuLiYo0ePsmXLFgYPHoyuri49e/Zk/Pjx9OzZs3p2WjWJjY1Ve7x9+/ZKyxcXF/PNN9+IoLcgCM8Vkd6khtX25SGCUBOUSiWjRo1i7dq1/Pjjj0yYMKFa/sTcunWLPXv2EBAQIA/KpKOjQ3FxMUqlEj09Pfz8/GjXrh1t27aladOmREdHM2LECCIjI+ncuTMNGjQgMjKSyMhI7ty5Q0lJCba2trz99tsMHz6cZs2aoVAoSEhIYMmSJfz222+kp6fj7+/PsGHDeP311zl58iS9e/emVatWjBw5EkNDQ0JDQ7l+/ToHDx4kJycHuD/SvLW1NXFxcfz222+MHDmy3O1asmQJe/bskXsJXbhwQe7d2aBBA0JCQir8Ie/g4EBcXBwWFhZMmDCBXr164evry8mTJ+ncuTOHDh3C39+/wtfpr7/+4tChQ1y/fp2bN29SWFiIs7MzP/74IwMGDFB73WJjY/Hz88Pc3JwffvgBf3//CvND79y5k7feeotGjRqxcuVKPv74Y06ePMnKlSsZMmRIlV7vsLAwPvroI/bv30/Lli0pKCjg2rVreHp6MmjQINLT07l9+zbR0dHy5ZaSJGFsbIyuri7Xr19X21bR4+q+yMhIevfuTVxcHHPnzmXChAnVekJKqD4FBQX89ttvzJs3j6ysLMaPH8/06dOxt7cX72dBeAHFx8czbtw4du3ahZmZGWPHjuWDDz6ocLySW7du8dFHH/Hff//Rt29ffvnll2c6b/fmzZuZNGkSsbGxctqH0vT19dWC4I0aNWL69Ollrta7d+8eo0ePJjk5mfbt2/PDDz88UZD//fff58yZM1y6dOmx1yE8v65du8bs2bPJysoiNzeXvLy8cqeioqIyy9avX5+bN28+Vr3R0dFs2bKF9evXc/nyZU6dOoWfn9+Tbk61uXv3Lhs2bGDHjh0UFBRgaGiIvr4+urq66OjooKurK4/NZGRkhLGxMb6+vhUOrCu8GGo7fiXSmwjVTQS9a1htHzQEobpJksSECRNYunQpa9eufeKz/QUFBfz888/89ddf3Lx5E01NTQwNDcnMzMTOzo5OnTrRtm1b2rZti4+PT5nL+/ft2yf3nDAyMqJevXry5ObmhqOjI4cPH2bdunUkJibi5eVFkyZN2LZtG1paWowZMwYvLy/Wr1/P0aNHqVOnDmfPnmXSpEkcPHiQa9eu4ejoKNenVCo5fvw4v/zyC7t27UKSJA4cOKCWk/NB7du359SpUzg5OWFlZUVGRgZJSUlyz/DKDsMJCQns2bOHPXv2sH//ftLT07G0tGTr1q1MmzaNhIQELl++XOb4EhMTw4gRIzhy5AgdOnSgcePGeHl50bBhQ9q0aVMmjUxOTg4dO3YkISGBs2fPqm1zRS5evMjrr7/O7du3MTMzY/v27XTq1Omhy5Wm6sH25ptvMnPmTNq0acOqVas4evQolpaW2NjYUFhYSGhoKKmpqfJyOjo6WFtbY2FhgZeXF3/++SdGRkaPVPeLLD09nalTp/LHH38wdOhQ/vnnn9puksD99AQ//PADf/zxB/b29vj6+tKqVSsaNGjAjh07+Pnnn2nbti0HDx6s7aYKglADNm/ezKBBg/jpp58YM2ZMhXl/CwsL+e6775g3bx7W1tb8/PPP9OvX75k+GRYWFkbz5s3p1KkTH330ER06dEChUKjlYX7w9tChQ6xZs4bhw4errSs0NJSGDRvi5+dHUFAQo0ePZvny5VXefqVSSVFREdra2mhoaDB37ly+//57QkJCcHJyqonNF14AxcXF5OfnqwXGraysnngwx6KiItq3b09ycjKXLl2q1ZhAUVERS5YsYdOmTZw+fRptbW1eeeUVLCws1MYSSklJIT09vdz/KPr6+nIKRlU6xtJpGSt6rqZSUQrVq7bjVyLoLVQ3EfSuYbV90BCE6iRJElOmTOH777/njz/+YMyYMU+0ri1btjB16lTu3LnD0KFDyc/PZ+PGjfj4+LB48eJKA8kqxcXFBAcH4+DggLW1dYV/iIqLizlw4AB///03V65c4Z133uG9997D3NxcLhMRESGn8ti6dSu+vr40adKEPXv2lLve5ORkvLy86NSpE5s2baqwjbNnz2bBggUUFBTg6enJa6+9xquvvkrr1q0pLi6u8qCDxcXF7Nixg4EDB7J9+3a8vb3x8fGhX79+fPnll+jp6aGnp8eBAwf48MMPMTY2ZtWqVXTt2vWh63733XfZuHEjJ0+exMfHp0rtUe2DhQsXMmrUKBo2bFjl5Uq7c+cOLi4ujBs3Djs7O8LCwggLCyM8PJzMzEwMDAx47bXXmDBhAk2bNiUoKIhTp04RGBhIYGAg6enpaGho0LRpUwYMGMDgwYNf+rQeycnJvPHGG5w5c4a///6bN998s7abJHA/X+aOHTvKnWdkZISBgQEGBgZERUU95ZYJglBTJEni1q1bBAUFsW3bNjZu3Eh0dHSFvbsB1qxZw4gRI5g8eTJz58595k/qFhQU0LZtW7Kzs7lw4UKV2+vn54eJiQkHDhwoM69+/fq0adOGLl26MGrUKFasWMGoUaPIysrizJkznDx5kpMnTxIZGUlBQQGFhYXyrarHrpWVFX379qVp06bMmzcPQ0NDDhw4gIeHR7VuvyBUJjs7m1GjRrF582b27t1Ljx49aq0tZ86coU2bNjRo0ICZM2fSt29fzMzMyi1bUlJCRkaGWiA8NTW1THD8wefS09PLXZ+BgUGZQPigQYPEb9RnTG3Hr0TQW6huIuhdw2r7oCEI1WnmzJnMnz+fiRMnsnjx4sfucRQaGsrYsWM5efIkffr04ZtvvmHx4sWsWLGC+fPnM23atFrLVXnhwgU6dOhA//790dDQYO3atVy7do3GjRuXW37Dhg28/fbbbNu2jf79+1e43uzsbA4ePMiuXbvYvXs3iYmJWFpa0rt3b1577TV69OhRpYFutm/fzoABA7h79y6Ojo6sWrWKUaNGlSnXq1cv/vnnHywsLKq03X369CE7O5tjx45VqXx1OnbsmHyCw87Ojvr16+Ph4SHfdunSpcIf5EqlktDQUAIDAzl8+DA7d+4kJycHX19fBg8ezPDhw9Xysb8Mrl+/Tt++fcnOzmbbtm20a9eutpsk/H9hYWGsW7eO6OhoLl++zPXr1+XgjK+vL46Ojri6uvLDDz/UcksFQaguX3zxBfPmzQPA1dWVjh078vvvv1fa6/HcuXP4+fkRGBhImzZtnlZTH0t0dDRTpkxhx44dnDlzhubNmz90GUmS+Oqrr5g1axYfffQRP//8MwApKSmsW7eOVatWcfHiRbp3786UKVPo1q0bHTp0ICcnh8uXL6NUKrG0tKR9+/Y0atQIPT09OR1D6dsbN26wfft2bty4Iddta2vL/v37adKkSY3tE0EorV27dgQGBvLTTz/x0UcfPfT/U1ZWFnv37qVZs2bV3olDkiRGjx7Nv//+y5kzZ2rkc1BSUkJaWtpDA+W3b9/m9OnTDB48mN9++02tI5JQe2o7fiWC3kJ1E0HvGqb60E6fPh19fX1cXV1p3rw5np6ez+wANIJQkXfeeYe1a9eiVCqxsLCgbdu2cn5tX19f9PWr9sU0cOBAzp49y4oVK/D396dfv34EBATw0UcfMXfu3AoDnE/Lpk2bePPNN1EoFHzzzTdMnTq1wh+okiTx2muvcfHiRW7dulWlS/eUSiXnzp1j165d7Ny5k+DgYMzMzPj888+ZMGFCmZ7f+fn5nDt3jpMnT7Jp0yb5UuHz588zfvx4Ll26RKNGjUhLSyMxMVEOojVu3JhJkyYxdOjQh742y5cv5/3335eD8U+TJElERERga2v7xD8ucnNz2b17Nxs2bOC///6jcePGnD9/npKSEmJjY7l9+za3b98mLi6O3r174+XlVU1b8WyIjY2lYcOGZGdns2bNGvr27UtUVBQRERHEx8fTs2fPl74XfG0oKSkp9zu/sLCQI0eOsHDhQg4fPoyHhwdTpkxh5MiRZVI5CYLwfFq0aBHTpk3j4sWLNGnSpEodBoqLizEzM+PDDz9kwYIFz2Rak8jISL7++mvWrFmDubk5P/74I0OHDn3ocgUFBYwdO5a///6br776ihkzZrB3715WrlzJzp07kSSJPn36MGrUKHr16sXbb7/NpUuXSEpKwsTEhDlz5tC+fXsaNGhQ5f0SHh7Ojh072LFjB4GBgbRu3ZpTp0496S4QhCr57bff+N///oe1tTW//vorffv2rbBsXl4ePXv25Pjx4wDUq1ePnj170rNnTzp37kxxcTGhoaHcuHFDvo2Li8PNzY2GDRvKk4eHB/r6+ty9e5c1a9Zw6tQpLCwssLGxwdjYmAULFuDk5MT58+dr9X/X+vXref/99zEyMmLixIn06dMHLy+vZ/KY9zJITk4mOTmZhg0biqC3CHq/METQu4apPrR2dnZIkkRCQgJw//Kexo0b07p1a+bNm1elHp4vg5s3b7Jhwwb27NmDubk57u7u1KtXD3d3d7nnp/gSrF2ZmZmcPXuWwMBATp06xZkzZ8jKykJLS4vWrVuzdOlStV7RkiRx7949rly5wpUrV7h69Sr79u2jS5cubN26ldTUVPz8/IiIiJCXsba2pkGDBri4uMg/7q5evYokSdSvX58rV65UOSXI41q3bh1WVlZ07979oWVv3ryJp6cnK1eurHAwy8pERUWxaNEifv/9d6ytrWnYsCE2NjaYm5tz9epVzp8/T2FhISYmJrRt25a33nqLc+fOsWzZMnx8fFi6dCmtW7cG7gfUExMTuXLlCkuXLmXnzp1YWFgwa9asSgccjY+Px8HBgQ8//JDmzZvL5fT19enXr1+N7++aoDp5UbduXe7evUtxcbE8T1dXl5KSEj799FO++OILDA0Na7Gl1Sc7O5vJkyezY8cOkpKS1OZpaGigVCrp2LEjo0eP5o033njmL5l/EVy8eJHWrVszePBgpk6dWuFVI+fOnePbb79l27ZtfPbZZ3LPUEF4FmRlZRETE0NmZibe3t4vzDHzabh+/TqNGjUCwMTEhPr168uTt7e3fGXZg8aMGcNff/2Fl5cXH330EcOHD38m9vvNmzf5+uuvWbt2LdbW1kyZMoVx48ZVuW2fffYZ33zzDcOHD2fVqlVs2rSJwYMHo6Ojw/z583nnnXewsbEB7gdg7OzsaNasGTo6Opw+fZqTJ0/Stm3bx25/UlISBQUFIre38FTdunWLDz74gH379jFw4EDmzJlDw4YN1X6XFxcX8/rrr3Po0CF27NhBbm4ue/fuZe/evURFRcm/41Tq1q2Lp6cn9vb23Lp1i9DQUDnWoFAocHZ2JiYmBl1dXTp16kR2djZJSUkkJiaSlpYG3P+/86TjMz2pmJgYPvnkEwICAsjLy8PFxYU+ffrQu3dv/P39q9ypSng8CQkJbNu2jc2bN3P06FFGjRrFn3/+KYLeIuj9whBB7xqm+tCePn0auH9QX7NmDbt375bLhIeHv1Q97xISErh+/TrGxsZYWlqiVCrZunUr69ev59KlSxgbG9OrVy/y8/OJjIwkMjKS/Px8AHr06MFvv/2Gs7MzZ86cQalUoq+vj76+PgYGBujr62NlZSV6yD1FJSUlBAcHc+rUKZYtW0ZUVBQzZ84kLi5ODnKrBiA0NTWlSZMm+Pj48M477+Dr6yuvJzs7m/DwcNasWcNvv/1GYWFhhXXm5ORUOPhTbenTpw8RERF8//33+Pv7P1b7QkND+eOPP4iNjSUxMZGUlBQaNGhAhw4daN++Pd7e3mhqavL9998zY8YMFi5cyIQJE9DS0qpwnZGRkSxcuJDly5czevRoli5dio6OToXb8N9//6k9p1AouHjxIk2bNn3k7altubm5TJ06FSMjI1xcXNQmLS0tFi5cyNdff42dnR2zZ8/G19cXDw+PCvfP86SkpIRz584RFRVFvXr1cHR0RFNTk02bNrFy5UouX76MoaEhb7zxBu+88w5dunQpN+giPLmcnBzc3NxITEwEoG/fvkybNo327duXW37KlCksX76cO3fuYGpq+jSbKrxESkpKWLNmDRs2bEChUMjpIFSpISRJIi4ujpiYGO7evUtmZqa8rKamJs2bN6d9+/a0b9+edu3aYWtrW4tb8+wLDw8nODhYHrNCNW5FQkICCxcuZMqUKWWWkSSJY8eO8csvv7B9+3ZMTEx49913+fDDD3F1da2FrYDp06fz3XffYW9vz7Rp0xgzZswjB6TCwsKYNGkSe/fuZcCAAfz9999Mnz6dX3/9lWbNmvHHH3/IKVJycnL4+OOPCQoK4saNGxQWFvLWW2+xYcOGmtg8QahRkiTx77//8vHHH5OQkIC9vT3+/v74+/vTpUsX5syZw9q1a9m1axc9e/ZUWy4iIoLDhw9jYmJCw4YNqV+/frn/NVJTUwkNDSU0NJSbN2/i7u7OW2+9VSZ4V1hYSHp6eqXjIT1teXl5HDt2jICAAAICAoiKikJPTw9/f3/69Okjp0LMzs5+pElXVxdra2usra2xsbGR7zs6OuLt7f3MbH9tOHr0KF27dkWhUNClSxf69u1L165d8fb2FkFvEfR+YYigdw1TfWhL09fXx8/Pj3bt2tGnT59nPlffk5AkibCwMHmwmZMnT6r16FXR09Ojb9++vP322/Tq1UvtB7RSqSQuLo5Tp04xZcoUEhMTsba2JiYmptw6TU1NOX/+PI6OjmV+iCuVSnJycjAyMnqpv+BqSnZ2NiNGjGDbtm3Uq1cPHx8ftcnZ2fmh+93Hx4erV69ibm5Op06daNq0KU2bNsXHxwcLCwt5NPXc3Fx5dPXc3FyUSiVOTk64uLjUyhfUpUuXePPNN4mIiJB/oPXt25c+ffrg7OxcrXV98skn7NmzRy1H5cOsXr2a9957Dz8/P7Zs2VJunmtJkti0aRPDhg2jqKiIsWPH8umnn9KgQYPqbP4zJTIyko8++og9e/YA94M57u7ueHl5qU2enp7PZW93gN9//50PPvhArXdQeRo1asSaNWuqlI9VqLqcnByGDh3Kjh07WLhwIatXryYkJITOnTsze/ZsOnXqRG5uLvfu3ePu3bsEBQUxbdo0vv32W6ZOnVrbzRdeMJIksWfPHqZNm0ZwcDCvvPIKJiYmFBYWqg0EqFQqcXBwwMnJiTp16uDk5ISTkxOGhoYEBQXJv+mio6MB8PDwoF27dnIgXFyZVzWTJk3i999/p2HDhvJAtgYGBhgaGqo9TkpKYtWqVfJx3N/fn0OHDj319jZv3hwrKyt27dpVpXRulVmxYgXvvvsuQUFBtGzZkrNnz/Lee+8RHBzMxx9/zHfffad2Mra4uJiIiAgsLS1furE6hBdLTk4OJ06c4PDhwxw+fJiLFy+iCsmsXbuWIUOG1HILa58kSYSGhhIQEMB///3HiRMn1K7YLE1DQwNDQ0OMjIzKTIaGhuTn55OUlCRPWVlZ8rK+vr7MmjWL3r17v5TfWbdv36ZBgwZyakylUsmnn37K999/L4LeIuj9whBB7xqm+tAeOnQIW1tbDA0NcXBweCF6Ej6opKSEXbt2cfnyZW7fvs2dO3e4evUqycnJKBQKfHx85D9DTZs2JTc39/+xd99xPfX/48cfTZVoCIWEyAihyCgjI9kjm4twuWzK3ntvl3HJ3ltGZrZSyJZSJNJS0t51fn/49f5efcRltOR1v93O7cr7fd7nPN9dvc/7nOd5vZ5PPnz4QHJyMpaWlt90UImLi2Pp0qW8f/+ewYMHo6WlJUuCJiYm0q9fP0JDQ2Xr6+joUK5cOZSUlAgJCSE0NJS0tDS0tLSoWrUqRkZGWf5buXLl33oK1Z07d+jduzf6+vpUq1aNP/7444ujEb8mJSXlh//Gg4ODGTRoEC4uLj/0+v9VunRp3N3d82RUVOZNHmdnZ86ePSs7QatevTotW7akZcuWNG/e/Kdr5w0aNIiXL1/i6ur6Xa+7ffs2Xbt2RU1NjTNnzmRbZuHp06eMGTOGGzduUKZMGVq3bo2uri6lS5dGV1cXXV1dypQpQ4UKFX76grcgiYiIwNvbm+fPn2dZgoODAVBXV+evv/5i/Pjxv9SU6EePHmFubk6vXr3o3LkzioqKpKWl8fbtW/z9/fH3988yur948eJER0fnY8SFR2hoKBs2bGDTpk1ER0fTu3dvtm7dioqKCqdPn2bevHk8evSI4sWLZxlFC6ClpcX06dOZOHFiPkUv/KokSSI4OJikpCRUVFRQVVVFRUUFFRUV7t+/z+TJk7l+/TrNmjVj+fLlNGjQ4Kf29+7dO9zc3Lh16xaHDx8mIiIC+FSmbPfu3djY2OTE2yq0YmNjWbNmDWFhYbKb+ZlLfHz8Z4/FxcWRnp7On3/+iaOjY57HO3HiRDZt2sTDhw9/+oZ4eno6VatWxczMTDZyOzU1lebNm3Pnzh0CAgJ+qe9bQfhRHz9+5MaNG2hqaspGMwtZRUdH8/DhQ4oUKfJZYltFReW7EtZJSUlERETw9OlTlixZwq1bt/LtRmJBcOPGDTw9PWW/z4oVK9KkSROR9BZJ70JDJL1zWX53v80LiYmJ7Nq1i5UrV+Lv74+enh4GBgaUL18eIyMjLCwsaNiwYZ5M005LS+P169ey6biBgYEEBgaSlpaGnp4eenp6aGhoEBAQgK+vLy9evODFixdERUXJtqGsrEyxYsVQV1fP8t9y5cphbGxMxYoVCQsLkzXEy5yCbmpqSr169TA1NUVfX7/A3C2WJAl/f3+8vb1l7zdzWm2DBg1YvXo1FStWJCYmhm7duuHv70/Dhg3x9PTEz8+P9u3bs2jRIkxMTD7b7uXLl1m7di329va0atUqx2LOyMjA1dWV2NhYHjx4wMOHD/Hy8uLNmzckJyd/9/YuXbpE69atcyy+bxUdHc2lS5dwcXHhypUr+Pv7Iy8vj5mZGS1btmTYsGFUqFAh29cmJiaydOlSHj16RLNmzWjVqpVsCl7Hjh159+4dp06d+u5R5F5eXpiZmaGsrExQUNAXazo/ffqUzZs38/jxY0JDQwkNDSUhIUH2vJycHPr6+rKa+5n/rVChAtra2mhqalK8ePEfbtgbFxfHihUruHLlCr169WLQoEH50vsgOjoab29vTp8+zaZNm0hISGDEiBGsXr36l2hGbGdnx40bN/D29v7qTQpJknjz5g3FixdHU1NTlDr5SZIkUaZMmSw3YeHTTAJFRUUUFRVRUFD4LNldunRpZs+ezciRI/MyXOEXJUkSgYGBeHp6cv/+fdmSmXjOjrGxMcuWLcvRUW0xMTHUqFGDoKAgACpVqkT9+vWZNWuWrJa1UDgkJCRQp04dtLS0cHNz+2p5tW8xePBgWe8SgCNHjtCrVy9WrVqFg4NDToQsCILwRZIkMWLECM6cOSP7DstPKSkpLFq0iOjoaEqVKkXp0qUpVapUlp9zu8RnfuevRNJbyGki6Z3L8vugkdt8fHxo3rw54eHh2NraMnnyZExNTfM7rO8iSRIfPnzgxYsX+Pv7ExMTQ2xsLHFxcbL/xsTEEBAQwPPnz0lISEBBQQF9fX1Zcv/Dhw/cv39f1jxER0eHGjVqULFiRSpVqkTFihVli56eXo4llBISElBRUflsewkJCVy9elVWEy2zFIyamppsVHuFChXYv38/ERERNGrUCDc3N1JSUjhx4gRdu3YlIyODo0ePMnPmTF69ekWfPn2YP38+hoaGXLt2jdmzZ+Pq6oqcnBx//vknW7Zske3/3r17TJgwgeTkZNmNg+LFi2Nubk6bNm2oXLnyN11sP3z4UFZqoWTJkhgZGWWZal22bFkUFRVJTEwkKSmJpKQk0tPT0dfXl/3eC1KjvtevX3PlyhWuXLnCkSNHsLe3Z+XKlVnWSUtL4+zZszg4OPDu3TsaNmzI3bt3SUpKonTp0rRt2xY5OTkOHjxIcnIyTZo0oXfv3vTr1w8tLa2v7n/r1q3MnDmTDx8+MG3aNObPn/9dSY+4uDhCQ0N59+4d/v7+vHz5klevXuHl5cXz58/J7utEWVkZNTU1ihUrhqampmzUuKamJhoaGqirqxMTE0NkZCSRkZF8+PCByMhIAgICSExMxNLSkmvXrqGmpkazZs3Q0tJCS0sLa2trbGxs8vTmUkxMDJs2bWLmzJn06tWL3bt3//QFf24bO3YsV65cwcvL66vrRUdHc/78eU6ePMn58+cZP3488+bNy6MoC6fbt2/Lbrr+e0lNTSUtLY24uDjOnj2Lh4eH7DWGhoYsXryYnj175mPkQkGWnp7OyZMn2bFjB3fv3pUluHV1dTE1NZXdgC9evDhJSUlZvh+1tLTo1KlTjt+wy8jIYPr06axevRodHR1Wr15N586duXjxIocPH+bSpUuYmZkxcOBAunTpUuB6chRGGRkZ7Nixg127dqGtrU3ZsmUpU6ZMlqVs2bKUKFHiu79Hz5w5Q6dOnTh69Ci2trY/FWfjxo0xNDRk7969PHv2jIYNG9KxY0cOHDhQYAaPCIJQuHXt2pV3795x7dq1bK8b09PTCQ0NJTk5mfT0dNn5XHp6OnJycujq6lKyZMmfvr5PSUnB1taWixcvUrlyZVl/p/+9vipatKgsAa6pqUlqairJyckkJSWRnJwsWxQVFalWrZqsVKOxsTHVq1f/z2vj/M5fiaS3kNNE0juX5fdBIzdJkkTPnj3x9PTExcXlt2jGmZGRQXh4OCVKlMg22RUcHCwbafXixQtev37N69evZQ3MAIoUKYKBgYEsId64cWPatWuHtrb2f+4/MjKS69evy2rAeXt7o6ioiI6Ojqwph5ycHG5ubiQlJWFoaEj79u2xtramVq1alC1bNssXclxcHIsWLeLhw4fY2NjQuXPnz0Yep6amsnPnTubNm8f79++pVasWDx8+xNTUlPnz53PgwAE8PT3p37+/rFyCu7s7xsbG1KtXT9ZEJCIigvv375OWlkbFihVp06YNbdq0kY2Mz+5EQZIkNm/ezJQpUyhevDibNm2ic+fO3/F/LP9dv36dv//++7MbKQEBAVk6pnt7e7N582YOHz7M+/fvsbKyYtOmTVStWpWkpCTc3Ny4dOkSzs7OPH/+nBo1amBra8v9+/e5ePEiGhoazJ8/n2HDhmX7t/n+/XvKlSsnq9mmqKgoq9davnx5Fi1aRKVKlX7oPV64cAEbGxvs7OyIjY3l48ePREdH8/HjRz5+/EhMTIysDp+cnBxaWlqyE664uDg0NDTQ1tbOspQuXZpBgwZhYGDAu3fv+Oeff3jy5AkfP34kLCwMPz8/bGxsWLNmTZ7XHD969Ch9+vShR48e7N27t0AnvpcvX8706dOxsbGhVatWtGrViurVqxMUFIS3tzcPHjzAxcWFW7dukZqaSo0aNXj+/DmrV6/G3t4+v8MvdOLj4zl37hzHjx/n7NmzxMXFUaNGDbp370737t2pXbu2SPQI2UpISGD37t2sXr2aly9f0qRJE1q2bImZmRmmpqaUKVMmv0PEz8+PiRMncvr0aZSUlEhNTaV27drY2Nhw+/Ztbt26hbq6Oj169OCPP/6gadOmYlZJLpAkifbt23P+/HlsbGyQl5cnODiYoKCgLOej8OnGtJ6eHhUrVqRRo0ayRUdH54vbb9u2LZcuXWLjxo0YGRmhp6dH9erVv/vYJUkSWlpaTJ06lalTp9KhQwd8fHx4/PgxRYsW/aH3LgiC8L1sbW05fvw4CgoK1KlThyZNmqCuri6bIe3n5/efM42VlJTQ09OT3VDU1dWVDXCIjY3NslSsWJFZs2bRuHHjLNvYu3cvf/zxBw4ODqxatQr4NBgqIiKC9+/fExYWxvv377P8/PHjR5SVlVFRUaFIkSIUKVJE9nNSUpKsdGNm/w0AAwMDWRK8Ro0aWFpaZsnj5Hf+SiS9hZwmkt65LL8PGrnh9evX7Nu3j3379uHr68u2bdsYMmRIfodVoMXHxxMQECBLgmcuL1++5NmzZygoKGBhYUHnzp3p1KkThoaGWV7/5MkTlixZwpEjR8jIyKBy5cpYWVnRsGHDz5pzJCYm0qxZM9q3b5+jjaQSEhLYsGEDN27cYNiwYXTq1Ak5OTkcHR3566+/0NHRoVKlSlSqVIk6deowfvz4z8opxMbGcuPGDS5evMilS5fw9fUFPjV3rVq1KtWqVaN69epUq1aNatWqUaVKFVRVVQkMDGTEiBGcPXsWGxsb1NXVCQgIIDw8nGrVqslGt+VGaZn4+Hi8vLzw8fEhOjpaNhMgPT2dKlWqyGL9UvfzEydO0LdvX5KTkzEyMsLa2hp1dXV0dHQYMWKErIZ8hw4dOHv2LADdunVj8eLFVK1aFUmSCA0NlZVLALh79y6jR4/G09OT4cOHM2nSJBYuXMjOnTsxNjZm3bp1WFlZfRZLZGQkb9684d27d1mWPXv2sGXLFoYNG8bHjx+ZP38+b9++Zdq0aZiZmf3n7+jYsWP06NGDjx8/ZluvXJIkoqKiCA4O5ubNm+zevZs7d+6gqalJ3759Wb169XfVB5ckiVOnTmFvb09QUBBTpkxhwYIF3/z6nyVJEosXL2bmzJkMGjSInTt35tm+v1dkZCRbtmzh8uXLuLq6kpKSIqvrDZ9GizRv3py2bdvSqVMnfHx8sLa25unTp9nWfBe+39u3bzl//jznzp3DxcWFxMRE6tSpI0t0V69ePb9DFAqw8PBwNm7cyMaNG4mMjKR79+5MmjSJ+vXr53doX3TlyhUePnxIhw4dqFatmuzxV69esW/fPvbs2YO/vz9FixZFV1f3s6nb//53hQoVvlgGTMheRkYGvXr14tixYzRu3JiVK1fSqFEj4NNAhtDQUFkSPDg4mODgYHx8fHB3d5eVZDIyMqJ169Z07dqVpk2boqSkJNu+ubk5jx49IiUlRfbY1q1bGTp06HfFGRQURLly5Th16hSdOnVi5syZrF+/ntu3b6Orq4uWltYvUUZMEIRfW0ZGBt7e3ri6uuLm5iab/fzvvl+GhoaoqqpmKVGnqKhIeno6ISEhWY6pQUFBhISEoKSkRLFixWRL8eLFUVdXx8XFhadPn9K2bVvmzZsn662RkJDAkCFDOHToEJMmTWLx4sU5NrAmLi4OHx8f2ezc58+f4+XlxevXr4FPpc86d+5Mly5dqFKlClpaWiLpXYjyd787kfTOZZkf2tmzZzNp0qQCVWrhSyIjI1m2bBkfP34kNTVVNhU7NTWVoKAg7ty5Q9GiRenevTsDBgygZcuWYmTaTwgODsbZ2ZnTp09z+fJlkpOTKV26tGxJS0vj2rVrVKhQAQcHBzp37vzddZxzW2Ji4g81AA0MDOTZs2f4+Pjg4+ODt7c3Pj4+hIeHy9bR09OjQoUKGBgYkJiYyL1791BUVJQ15ipSpAhv376VlZaxtLTkxIkTXx2l9G8pKSlER0cTFRVFdHQ0QUFBPHnyhCdPnvD48WNevnwpm1amoqKCmpoaRYoUQVlZmcDAQDIyMgDQ1tamWrVqVKxY8bML98jISAYNGkT9+vWzlDL4t4SEBM6fP8/Ro0dxdnYmPj4efX19IiIiSExMBKBcuXI0btyYxo0bY2BgwODBg2XNb5o2bcr9+/cZPHgwXl5exMTEfPMUcjk5Of755x/k5OSYPn06ycnJlC1blhcvXtCzZ08WLlxIlSpVvvj6nTt3MnjwYFJTU7/55OzFixfs2rWLpUuX/tAU6YCAgCzNSV+/fo2BgUGuHIskScLPz49r165x7do1rl+/TlhYGIqKivTs2ZP9+/fn+D5zQ0JCAq6urvj4+GBoaEi1atWoUKGCLKkQEhKCpaUlSkpKPH/+XBzXf1Bqairu7u6cO3eOs2fPym5sNmnShA4dOtCtW7fPbmwKwv96+fIlq1evZufOncjJyTFkyBDs7e1/eEZOQSJJEm5ubty5c0c2au1/R6/9e1Rd1apV6dixIx07dqRx48YFenbN90hISMDDwwNPT0+UlJTQ1NSkcePG3zV7KTo6mqtXr/Lw4UN69uyZ5Wbl5cuXmTBhAk+ePGHmzJn/eXNYkiQCAgJwd3fH1dWVs2fP8vbtW7S0tOjQoQNdu3bF2toaNTU1JEkiNjaW8PBwrKysePv2LX/88Qdz5sz55r/RW7du0bRpU0aMGMHixYtJSEjAyMiI+Ph44NO5SZMmTbh169Y3/z4EQRAKuoyMDI4dO8bcuXPx9vamY8eOzJ07F1VVVa5cucLcuXP58OEDK1asyPWG5rGxsVy+fJlTp05x5swZIiMj+fPPP9m6datIeoukd6Ehkt65LPNDm8nAwICuXbsyYcKEAtmRPCQkhDZt2hAYGIiRkRFKSkooKSmhqKgou1vZpUsXOnfuLKYe5oL4+HguXbrE06dPZRd+cXFx9OvXj169emUZaVOYZdZYf/HiBQEBAQQEBPDmzRsCAgKIi4uT1XWOiYnhxYsX6Onp0bVrVwwNDVm6dCmampoMGTKE2NhYYmJiZKOzY2JiiI6OzrIkJSV9tn8NDQ2KFClCamoqcnJyZGRkkJKSkqWRI4CJiQkWFhbUr19fVi4iMwGfOeUsU4kSJXB1dc0y6u1LEhMTuXjxIhcvXiQ1NVVWRz41NZU3b97w8OFDkpOTMTY2ZvXq1bRp0wb4dMFqZmZGiRIluHTp0jf9riVJQl5enmLFihEbG8vAgQNZsmQJpUqVYs+ePcyePZvQ0FAWLFjA1KlTP3t9RkYGXbp0wcPD47Np0//Fz8+PatWqsWrVKsaPH/9dr3327Bm1atXK8piWlhbGxsYYGxtjbm5Ohw4dKFmy5HdtNzu7du3Czs5O9u/u3bszbNgwmjRp8ksfB5OSkrhz5w43btzgxo0buLu7o62tza1bt7LcUBC+LjExkbdv3+Lh4cHZs2e5dOmSrAGRjY0N7dq1o02bNtnOghCE/+Xh4cHKlStlN2/HjBnDyJEjKVGiRH6HlmcyE6rv37/n6dOnnD17FmdnZ8LCwtDS0sLGxoaOHTvStm3bH/5cffz4kQ0bNqCtrY2+vj7ly5dHX18fbW3tXLvhFxkZiZubGzdv3uTWrVuykm8qKiqyc5EePXpw5MgRJEkiLCyM5ORkWe3YzDqymbPmLly4wO3bt0lPT0ddXZ34+Hj69+/PvHnzZH1bpkyZQmRkJBs3bmTw4MHfFa8kSTx8+BAnJyecnJzw8vJCVVWVNm3a0LVrVzp27Ii2tjbJycls27aNhQsXEhERwZIlS74pUZOWlsaiRYtYvnw5qqqqzJkzh86dOxMQEMD9+/dxcHBgwIAB7Nmz54d+34IgCAVZeno6hw4dYu7cubx8+RL4VCalYcOGWFlZMWLECEqXLp1n8aSlpeHq6oqioiKWlpYi6S2S3oWGSHrnsswP7Y4dO9izZw937tyRjdrU0dGhQ4cOrFix4ptHpeYmSZKoXbs2z549Y+TIkQwePBgTE5NCM6JGKHwkSeL+/ftMmjSJ69evA7Bw4UKOHz9OQEAAxYsXl00ny/xZQ0Mjy5LZUDFz2bNnD+vXr0dPT4+ePXtStGhR1NTUUFNTQ1tbmwoVKqCrq8u9e/dkI/SVlJSYNm0aY8aMyTLiPSUlhYiICMLCwihXrtx3JWAnTZoka3Kpra1NamoqsbGxyMvLyxqRDBs2jJYtW8pec/36dVq0aMGFCxewtrb+5t9hyZIlqVixIn///TcNGzbM8nxiYiIVK1bE0tKSo0ePfvb6KVOmsGLFCk6fPk2HDh2+eZ+7d+9m9OjR6OnpcfHixR8avfjmzRsePXqEu7s7z58/R0NDg5SUFLy9vXn27BlycnJYWlrStWtXunTpgoGBwXfvAz4lRxwdHbl48SKurq6kpqZSoUIFrK2tsba2xsrKKsvNzYIuIyODESNGsHv3bpKTk9HU1MTS0pLmzZvTs2fPAnlDNi+lpKTIRplKkkRCQgKBgYG8fftWtrx580b2c+bMFDk5OerXr0+7du1o37499erVE/WKhW+S2Zxy1apVuLu7U6VKFSZMmMAff/zxQ7OoCqOMjAw8PT1xdnbmzJkzPHr0CAUFBSwtLWWjwL82I+l/+fj4ULdu3c9ufKuqqmZJgleoUIE///wTPT297445KCiIW7duyZLcz549A6Bs2bI0bdoUS0tLFBUVWb16NT4+PtjZ2bFu3To8PT1lzcK/RF1dnZYtW9K2bVusra0pW7YsW7duZcGCBURGRmJkZISXlxc9evRgxYoVP/z9929+fn6cPHkSJycn3N3dUVBQoFmzZnTp0gUbGxsWLFjAnj17mDt3LnPmzPnm7YaEhDB79my2bdsmS3K3adNGNv3+V/p+FQRB+F5paWmcPn0adXX1AjGgJr/L84qkt5DTRNI7l2V30HB1dWX16tVcu3aN6OhoFBUV6dSpE3Z2dlhbW+dbklmSJFavXo2TkxP37t0jJSUFNTU1mjdvzujRo7G2thYX8EKBERMTw8aNGzlw4ADPnj1DW1ubnj17Mm3atG8q//Lhwwc8PT3x9PSkVKlSDBo0CCUlJWbOnMmKFSuQk5Ojd+/eTJgw4bMRxf8WFhbGggUL2LJlC6VLl6ZSpUp8+PCByMhIkpKSaNCgAS1atKBFixaYmpp+8+d7/PjxHDp0iDt37lC+fHlZvTkPDw/ZiNLSpUszdOhQ5s2bh6KiIgkJCZQvX54nT55810i12NhYihYtmu3n293dncaNG2ebSN+6dSvDhg377qaHmcn5unXrcvPmzR8q+3T48GH69OmDJEmoqamho6PD27dv0dbWZsqUKQwcOJDTp0/j5OTE5cuXSU1NpXXr1hw8ePCnRkzGxcVx/fp12Uh8Pz8/FBQUqFWrFoaGhlSuXFn2X2NjY0qVKvXD+8ot06ZNY9myZcyfP58OHTpQq1at375uampqKufOnWP37t04OzvLGr7+LzU1NcqXL4+BgQHly5eXLZlNgXJiZoHw+4iPj2fnzp2sWbMGf39/LC0tmTBhAh07dhTnW/8hMDCQs2fPcubMGa5cuUJycjJVq1alQ4cODBs2DCMjo//cxt27d+nUqRNJSUn8888/KCkp8fbtW9lNrsDAQLy9vSlVqhTXrl1DX1//i9vKLIP17yR3Zq1UIyMjWZLb0tKSChUqyL6jmzVrxs2bN2XbUVBQID09HVNTUxwcHChZsuRnNWSLFClC9erVUVZW/iyO+Ph41q9fj5ubGxMnTqR58+bf+Zv9NiEhIbLv2KtXr5KamkqRIkXYvHlzlplR3+ry5cu0bt0aR0dH/vzzTwYOHMiBAwc4cOAAPXr0yIV3IAiCIGRHJL1F0ruwEUnvXPZfB42wsDAOHjzIzp07efLkCXp6egwYMAA7O7tvKoOQW5KTk7l//z5ubm4cOXIET09PqlevzoQJExg0aNBvnyAR8l9mHelMGhoaVKxYkfLly6OtrU1CQgLx8fGyJS4uLsu/M0d3aWhoEBMTg5GREStXrqR9+/Y8efKEdu3aERwcTN26dXnw4MF/xvPy5UtWrlxJfHw8JUqUQFtbG3l5eW7fvs3NmzeJj4+nWLFiNG3alLp16/Lhw4csTU8yS4NklhNKTU0lOTmZpKSkbC9sR48eze7du0lISKB3795Uq1aNpKQkOnfuLGuIkhMWL17MjBkzWLduHWPGjEFOTo7Y2FgcHBzYtm0bI0aMYOPGjd+VZE9KSuKvv/5iz549DBs2jPXr139XI8sXL15gZmZG+/btWblyJWXLlkVOTo6nT59ib2/P27dvZU1S4dNx+MyZM4wfPx4dHR1u376NlpbWd/0evuT169dcvHiRhw8f8urVK16+fCmr9a6kpMTUqVOZMWPGd72/3JRZqiUv6gT+CiRJYv369bJp+XXr1qVfv36yvyk5OTlUVFRkIz9zs/SB8Hu5efMmPXv2JCIiAltbWyZMmFCgm1MWZPHx8Vy5coUzZ85w5swZPn78yJQpU5g+fToqKipffe26desYP348J06coGvXrsCn48KjR494+/Yt7u7uLFu2jIoVK3L37l3ZzMz09HSePHkiS3K7uroSFhaGvLw8JiYmsiS3hYXFV6enJycnExgYSFhYGKGhoYSFhVGhQgVsbGx+mWNNdHQ0Li4u1KhRgxo1anz36319fbG2tsbAwICrV68iLy9PWloalpaW3L17F3d39xw9rxEEQRC+TCS9RdK7sBFJ71z2rQeNzLp5O3fuZP/+/Xz8+JGGDRsyePBgevXqla8fOEmScHV1Zc2aNZw8eRJLS0v27NmTI1MlBeFHSZIkG43171IDb9684ePHjxQtWhR1dXWKFi2aZcl8rGTJkpiammJoaMiTJ0+YMGECV69epU6dOjx//hwVFRVGjBjB+PHj0dXV/alYU1NT8fT05Nq1a1y9epXnz59TunRpypQpI1tKlSqFnJycrGZnWlqabAR6dkaNGsWmTZto27Ytzs7OuXYjKiEhgcmTJ7Nx40batGnDyJEjcXBwICwsjDVr1jB06NAfujCXJIl169Zhb2/PmTNnvrk0CsDEiRNZt24dYWFhaGtry7Z35coVunXrRoUKFXjy5Mlnr/P19cXMzIx+/fqxefPm7475WyUnJxMQEMCBAwdYsmQJhoaGbN26FQsLi1zb57e4ceMGrVu3ZuDAgTg6Ov4yCZXcEhUVxeDBg3FycmLYsGGMGjWK2rVr53dYQiEnSRKbNm1i/PjxNGnShF27dlGhQoX8DqvQSExMZMmSJSxduhQjIyPu37//xZuOXl5e1K9fnx49erBr1y7ZMdHFxUXWK0NBQYHSpUtTvnx5Dh48KPt/NWDAAPbt24eysjINGjSQJbkbN24sLpK/0b9LnZUpU4YLFy5QqVIlnjx5goODA1euXKFp06YcOXIkT+vaCoIg/M5E0lskvQsbkfTOZT9y0EhKSuL06dPs3LmTS5cuUaxYMWbMmEF6erqsNvH/LhoaGhQvXjzXRxPeuHGDAQMGEBMTw5gxY+jcuTOmpqa/ffJE+PVJkoSzszObNm2iRYsW/PXXXwW6juScOXM4dOgQHh4eOTZq+WsuXLiAnZ0doaGhNG7cmD179mBoaPjD23v37h3Lly/n77//Jjg4+LvqpT579ozatWvTrFkz1NTUiIuLIzg4mJcvX9KgQQMOHjyYbY3wwMBA2rRpQ1BQEFFRUXlSPsDLy4uhQ4fi4eHB8OHDmTdvHiVKlMjz2TIZGRno6emRkpLC06dPf/u63Q8ePKBHjx58+PCB3bt307lz5/wOSfgNJCcnM3LkSHbs2MHYsWNZuXLlb9OgOq+dOXOGTp064e3t/cWZk8eOHaNHjx60a9eOnTt3yspRnTp1ii5duvDkyRNq1Kjx2fE6ODgYfX195s2bx8SJE/9zNLnwuejoaIYPH86hQ4ews7Nj/fr1qKurExkZiaGhIaVLl2b58uV07NhRXGMIgiDkIZH0FknvwkYkvXPZzx40Nm3axKhRo5CTk0NRURFJkkhLS/vi+h06dGDGjBmfNaPLSVFRUUybNo3Dhw/z8eNHypYtS6dOnRg1ahTGxsa5tl9BEP6PJEmkpqZmW/okt3z48IFr167RtWvXH0raRkVFcfz4cfbt28eNGzcoUqQII0aMYPXq1d+9rXnz5uHm5iYbvV+8eHG6deuGlZVVthfI586d448//kBNTY3Dhw/TqFGj797nj0pPT2fz5s1MmzaNuLg4AIoUKSJrkmpsbMyFCxdyPY61a9cyd+5c0tLSOHz4MO3bt8/1fRY0qampbNu2DXt7e2rWrMmRI0d+qImqIHyvoKAgunfvzqNHj9iyZQsDBw7M75DyhSRJvHjxgmfPnvHy5UvKli1LzZo1qVatWo427cwcrX316lVatGjxxfXOnj2LnZ0d8vLynDhxgsaNG3P37l0aNmxI6dKlGTFiBObm5rLyVS9fvuTp06eEhoYSEhKCpqZmjsX8u/Dw8KBPnz5ERkayZcsWevfuzcePH7l9+zZbt27lypUrvHr1qkD2xBAEQSjsCkrSu3gPx3xLescc/dQbREFBgVGjRjFq1Kg8j0PIOfnTMVH4Zu/fv0dRUREtLS2qVKmCq6srycnJxMTEZFmio6N59+4dGzdupFGjRrRo0YIZM2Z8MQH0rcLCwrhz546seZ6vry+Z90nGjx+PhYUFp06d4sSJE+zcuZONGzdmqbMsCELukJOTy9OEN0CJEiWwtbXN8lh0dDS2trYYGBjQrl07WrduTbFixUhPTyc0NJTAwED8/f05ceIEzs7OpKSk0LJlS3bs2EG3bt1++GRqzpw537ReWloas2bNYunSpbRv357du3f/VCPLTCkpKYSFhRESEkLJkiWpWLHiF9dVUFBg9OjRdOvWjVu3bmWpN7927VqCg4N/Op5vMX78eGrVqkWrVq1kyfffQXJyMpcvX+b48eOcOnWKyMhIRo4cyerVqwtMrfWkpCRCQkIICQkhPDycBg0afNfsh+y8f/+ekydPcv78edLT07OUeVJTU2PcuHE/XbpJ+DZubm7Y2tqioKDArVu3fuva3Rs2bGDs2LEAKCsrk5KSAoC8vDyGhoYYGxtTs2ZNatasibGxMUZGRt/1XXfnzh2WLFnCqVOnZLX4379/z549e4iMjERTUxNNTU3MzMyoW7cu7du3Z8uWLXTr1o2LFy/SuHFjGjRogJeXF+vXr2fp0qUkJiaiqKhIpUqVqFy5Mp06daJjx44i4f2d0tPTWbZsGbNnz6Z+/fpcvXqVp0+fUqtWLZ49ewaArq4ua9euFQlvQRAEIV/du3dPjPQuJMRI71z27ztlycnJPHr0iJo1a37zxayfnx9z587FycmJ9PR0EhISvjrCMiMjAycnJxYvXsyDBw9o0KABM2bMoEOHDv85lT+zcc+tW7dkSe7MzvO6uro0atQIY2NjFBQUWLRoEe3bt2fUqFGkpqYSGxvL9OnT8ff3Z9CgQTg6Ooopu4LwG7C3t8fR0REDAwO8vb1RUlKidOnShISEkJ6eLluvbt269O/fn969e1OmTJk8iU2SJHr37s3x48dZsmQJEyZM+OmSJgMGDOD8+fN8+PBB9piCggL29vbMmTMHdXX1b97Wo0ePqFu3Ltu3b8+zm4Vdu3bFy8sLb2/vQt2QODExkQsXLnD8+HHOnDkja1Zra2tLjx49qFOnTn6HyLt37+jXrx9PnjwhKioqy3OKior06tWLcePGfZYgjYyM5OjRoxw4cIC4uDgaNWpEo0aNaNy4MSoqKpw4cYLjx49z48YNACwsLNDQ0MjSyPfZs2f06NGDI0eO5NXb/W1t2bKFMWPGYG5uzrFjx3772sQfP35k6dKlbNmyhfj4eGxsbGjbti3Kysp4eXnx7NkzvLy8CAkJAT59FoyMjLIkwmvWrImBgQEBAQF4e3vz/Plznj9/zpMnT3j69ClVq1ZlypQpGBoa4ujoyNGjR5GXl0dXV5eoqCiio6ORJIlatWrRu3dv1q5dS/Xq1XFxcfkswR4dHU1kZCT6+vooKoqxQj9j7dq12NvbA2BpaUmZMmU4evQorVu3pk+fPlhYWFCpUiVRzkQQBCEfiZHen0Z6i/ImhYdIeueyzA9t2bJlCQoKAmD27NnMmzfvu7cTGBj4zeVDJEni0qVLDB8+nICAADp37szJkyc/Wy+z472zszNnz54lODgYZWVlTE1NadiwoWzR19eXnYTGxcWhoaFBRkZGtvtWUlLiwYMH1KxZ87veoyAIvxZHR0dGjBjBrFmzmDNnDq9fv+b8+fOEhISgr69PuXLlZP/NbDiZl3bt2oWdnR2HDx+mZ8+eP7296OhotLS06NevH1ZWVujp6aGrq8v58+dZsGABJUqUYN26dXTt2vWrF+3p6emsW7eOGTNmULFiRR48eJAnNWElSUJbWxtNTU327dtHkyZNcn2fuUmSJAICAnj8+LFsCQwMJCoqiqCgIBITE6lZsya2trZ0794dY2PjApNMCQgIwMrKivT0dEaOHImenp5s0dDQ4Pjx46xfv57Xr1/TqFEjxo0bh4KCAvv27ePcuXOkp6fTunVrdHV1cXd3x9fXV7ZtRUVFWrZsia2tLZ07d6ZkyZJZ9v3x40d0dXVZunSpLAEl5LykpCTGjRuHo6MjI0eOZM2aNXk+Owc+/f/OTAp7eXnJfk5NTaVLly706tWLZs2a5flNsNjYWHbs2MHatWtln4cTJ07Ieml8+PABLy8vWSI8c4mMjPxsW5qamhgbG1O9enWaN29OYmIimzdv5sGDB1SqVImRI0diZ2cn+x5KS0vDxcWFXbt2cfLkSfT19fHw8EBHRydPfwe/m/fv3+Pk5MTr1695/fo1AQEBtGzZkoULF+ZJjw1BEAThv4mkt0h6FzYi6Z3LMj+0TZs2BeDmzZssWbIEBwcHQkJCCAwMJCgoCG1tbapXr07ZsmW/+6L8/fv3vH//nqioKNkSERHB4cOH8fDwoHLlysyfP58+ffpked3x48fp168fycnJsumaHTp0oHHjxv855Ts0NJTY2FiUlJRki6KiIkpKShQpUiRfLuwEQcgbGRkZzJw5kyVLlmBhYYGrqysqKipUqlSJffv2Ubdu3fwOkfT0dNq2bcu9e/fw8vKibNmyP73Nmzdv0qxZM2bNmsXMmTOzHOcCAgIYO3YsZ86coV27dvz999/Z1op+8eIFdnZ2eHh4MG7cOBYtWoSamtpPx/atfHx8sLOz486dO9jb27NgwYI83f+Pev/+PZ6enjx//jzLyM6YmBjgU+kdExMTDA0N0dTURFdXlw4dOmBkZJTPkX/uw4cP1K1bl8DAQEaPHk2TJk1kN4j09PRkf1fp6ek4Ozuzbt06rl27BoCZmRn9+/enV69eWUqTRERE4OHhQUxMDG3btv3qTaaHDx9Sr149GjRowObNm6lXr17uvuHfkL+/Pz169ODZs2ds3LiRoUOH5nkMqampzJs3jyVLlpCRkYG8vDyVK1emRo0a1KhRg9TUVI4ePUpAQAClS5fG1taWmTNn5nnJm7S0NI4dO0afPn04dOgQvXr1+uK6kiQRFhaGl5cXAQEBVKxYkRo1alC6dGkiIiJYsWIF27dvJzIyEhsbG0aPHk3btm2/mlCNjo5GTk5OXNgKgiAIAiLpLZLehY9IeueyzA9t0aJF8ff3Z+rUqezcufOL6xcrVowePXqwbdu2b0p+P3jwAFNT088eV1ZWxsLCgvHjx9O+fftsT/h9fHwYOXIk165dw9DQkAkTJjBo0KAcbSQkCELhkpKSgp2dHQcOHGDFihXs2LGDMmXK0KlTJ9atW0fx4sUpVqwYGhoajB8//qf7CmSSJIkVK1Zw584d0tPTSU9PJyMjQ/bfpKQk2bT1qKgoWTIUYPjw4WzevPmnY4iPj2fcuHHs2LEDQ0NDli1b9tmo7lOnTjF27FiCg4Np3bo1ffv2pXPnzqipqbF69WpmzZpF+fLl2blzZ76NtE5PT88Sy+7du/O0sef3kCSJXbt2MWbMGOLj4ylatCjVqlWjRo0aVK9eHRMTE0xMTChTpkyBGcX9X8LDwxkyZAivXr0iMDCQ2NhY2XNycnIYGhpy7969LPWCM8vR5FQS/+bNm4waNYrnz58zYsQIFixYgJaWVo5s+3d36tQpBg4ciLa2NseOHcuXmwr+/v707dsXT09PZs2aRbdu3TAyMvpsQIMkSdy7d4/Dhw+zfft2bG1t2bZtW57HC6ClpcWUKVOYOnVqts/HxsZSrFixL75+zpw5zJ8/n65du7J8+XIqV66cW6EKgiAIQqElkt4i6V3YiKR3Lsv80E6ZMoWlS5cC4Orqire3N/r6+ujr61O2bFkiIiLw9vbG1dWV5cuXs2XLFnr27PmfTXLOnj1Lhw4dOHPmjGyEm6amJioqKt+cAPD09GTFihUcO3aMUqVKcfbsWTHySxCEbM2YMYPly5dz4MABKlSoQIMGDbhw4QLW1tbs3buXUaNGYWVlJSs7oa+vT69evejSpQsNGzb84Sn08+fPZ86cObRq1YoiRYqgoKCAvLw88vLyKCgooKysjJaWFhoaGrLjYOZSr169HC2v8vTpUyZPnsyFCxeoVq0avXr1olevXlSvXh34lBzftWsXBw8exM3NDRUVFfT19Xn16hUODg7Mnz+/QNxc9PHx4Y8//uDFixdERkYWuBrfUVFRDB8+nMOHDzN48GBZkr6wTIN/+vQp9+/f5/nz57i7u+Ph4UFaWhoA7u7uNGzYMFf3n5qayp9//snu3btp3749zs7Oubq/wi41NZXp06ezcuVKunTpws6dO/Ol0aGHhwdt2rRBR0eHgwcPYm5u/tX1vby8OHDgANu2bUNXV5fHjx/nUaRZGRkZ0blzZ1asWJHl8bdv3+Lg4MDx48epUKECVlZWWFlZ0aJFiyz9IaKjo2nevDlhYWG4ubl9tbmwIAiCIAhZpaenc/36dZSUlGjWrJlIeoukd6Ehkt657HvvlEmShI2NDRcvXgSgevXqNGrUCEtLS3r27PnZNPQTJ07QvXt3IiIiKFGixE/F+urVK/r27cuLFy9wcHDA2NiYGjVqULly5SxNKZOTk4mIiCA1NRUDAwPk5OSIjY3F1dWVe/fuce/ePe7evcv79++BT4mVqlWr/lRsgiDkr5SUFP7++2+mTJnCnDlzmDVrFhMnTuTAgQMEBgZ+ljCVJAk3Nzf27t3LqVOnCAsLo1SpUlhbW9O6dWtZPeJvsW3bNv78808WLlzIjBkz/nP9+/fvc/36dTp37pyro/2uXbvGzp07OXnyJLGxsdSqVYu+ffsyZswYihYtCsCbN284cuQI9+7dw97evsCNqL548SJt27bl1atX2ZZjyU99+/bl7NmzbN26NUdqshc0+vr6vHv3Lstj9erVw9bWlvHjx+fqjZGwsDCmT5/Ojh07MDExwdHRkQYNGuTa/gq7oKAgevfujYeHB8uWLcPe3j7fZh4cPnyY3r178+LFi6/ODLh9+zZLlizB2dkZbW1tOnbsyJAhQ7C0tMzDaP9PgwYNMDExYevWrbLHnj59irm5OUWLFmX69OkEBARw9epVnj17BkC1atVkSfA6depw8uRJJk6cSJ06dXj48GG+vA9BEARBKKj8/Pzw9vZGQ0PjU2K5eHFCQkI4dOgQR48eJSwsjKFDh7Jt2zaR9BZJ70JDJL1z2Y9MD8nIyMDPzw8PDw/Z8uTJE7S1tRk9ejStWrVCRUWFIkWKsG7dOrZt20ZsbCzq6uo5Eu/QoUO5cuWKrFmQoqIilSpVIjU1lfDwcOLi4mTr6+vr07p1ay5evEhQUBBaWlokJiaSlJQEgKGhIV5eXv9ZI1wQhILrwoULjB8/Hj8/P0aNGsWqVatQUlKiVatWsqZ7X5ORkcGdO3c4deoUly5dkiUjzM3NuX79+n82cSxbtixhYWGyEkwqKirExMQQExNDdHS07OfMZdGiRbLX1q1bl549e9KjRw8MDQ1//peRjaSkJC5cuMCRI0c4ceIEZcqU4fjx4wWitvl/yayLe+7cOWxsbPI7nCyaN29OuXLl2LdvX36HkisiIiK4desW7u7u3L59G09PT5KTk1FRUcHMzIzZs2fTunXrHNtfSkoKnp6euLi4sHr1ahQVFVm4cCHDhg0rcKP8fxVJSUls2bKFBQsWoKKiwuHDh/O9QayrqyuWlpYcPHiQ3r17Z3kus8n5kiVLuHHjBtWrV2fKlCn07ds3y+CG/NCmTRuCgoKYPn06FhYWGBgYEBERQdu2bXn8+DHLli3DwcEB+FTj//r161y9epWrV6/i5+cn246pqSmDBg1i9OjR+fVWBEEQBKFA6tWrF0eOHPns8bJly9KzZ0969+5N1apV0dTUFElvkfQuNETSO5flVE0kf39/1qxZw/bt20lMTJQ9XqRIEaZNm8acOXNyIlwZSZIIDw+XNQvz9fVFVVWVkiVLoqOjg46ODhkZGVy5coWLFy9iYGDA6tWrqVatGhcvXmTo0KEEBQXRt29f9u/fn6OxCYKQ8zIyMnB2dsbPz4+4uDji4uKIj4/H19eXK1eu0KJFC9atW0etWrWAT1P5y5cvz9ChQ1mwYMFXt3337l3279+Pg4MDBgYGvH//ngMHDmBvb8+yZctQVlZGU1OT3r17Z5sA9/X1ZfPmzezatYuoqKhs96GgoEDx4sUpXrw46urqWFtb07BhQ44ePcrZs2dJSEjA1NSU3r1707NnT8qXL//Tv7Ps+Pn50aNHDxITE3n06FGBKGPyNRkZGWhra2NjY8OBAwcKTF1sSZIwNTXFxMTkq30wCpOHDx8yaNAgnjx5QrFixdi2bdtPjXCPiYnB3d2dW7ducevWLe7evUtSUhJFixZl4MCBzJ8//6dniP2u0tLS2L17N/PmzSMoKIhBgwaxdOlSSpYsmW8xvXz5kgULFrBv3z709PQ4deqUrOdLeno6Tk5OLFmyhAcPHlC/fn2mTZtG586dC0y5oL1797JkyRK8vb2BT4MqmjdvTseOHdm+fTs3b94kPj4+22NUYGAgjx8/xszMLM8bcQqCIAjCryIuLo7FixezatUqMjIymD59OjY2NjRo0EB2PiBqeoukd2Ejkt65LKcPGtHR0QQHB5OUlERiYiKVKlXKcoK/d+9eateuTdWqVXnx4gXJycmYmprm+SiujIwMZs2axdKlS3nz5g3lypXL0/0LgvBtMkf+TZs2jYcPH1KsWDGKFSuGuro6RYsWRVNTk5EjR9K9e3dZsuH8+fM4ODjw4sULzpw5Q8uWLb+YrJ4xYwbHjh1DUVERDQ0N9u/fT6tWrUhJSaFUqVLExcWhqqpKUlISpUqVwsHBgYkTJ2abiElISODmzZsoKSnJEtzFixdHQ0MDVVXVLyZs4+PjOX/+PIcPH8bZ2ZmkpCSaNGlCnz59GDhw4H/OkgkPD2fLli0MHDgQfX39//ydent7U7duXcaNG8eyZcv+c/38dvDgQfr27cuGDRsYNWpUfocDwJYtWxg+fDhHjx7F1tY2v8PJdZIkUaJECT5+/AiAnp4eVatWlfX+KF++vOxnfX19NDQ0Pvt7Dw4O5vbt27i6unLr1i0ePXpERkYGJUuWxMLCAktLSywtLalTpw6Kior58TZ/eRkZGRw9epRZs2bh5+dHr169mDdvXr6WcPP392fBggXs3buXUqVKMX36dIYOHSo7Jl+8eJFx48bx4sULrKysmDZtGi1btiwwN7j+V3h4OLdv3+bWrVtcvHhRVsqkTZs2stJ/giAIgiD8OD8/PwYPHoy3tzePHz+mbNmysudE0lskvQsbkfTOZXl50LC1tc22zICuri5du3alWbNmVKpUCUNDwxxt6gafRnIuXLgQeXl5DAwMePHiBRcvXkRLSwsPD4+v1pUUBCH/ZNbLbty4McuWLcPCwuKr6w8ZMoQdO3ZkeaxkyZI8evSIMmXKkJKSwoULF9i7dy9OTk6ULVuW+fPnY2NjQ79+/bh8+TLKyspUqVKFkiVLUr16dapWrcq2bdt49uwZqqqqvHz5MkuDspwUExPD6dOnmTt3Lq9evWLZsmVMnjz5q6+5cuUKrVq1AkBOTo5ly5bRtWvXr9YLX7p0KTNmzMDDw4P69evn6HvIDWPHjmXz5s0sW7aM8ePH59voT0mSOHHiBH379mXo0KFs3LgxX+LID69eveLJkycEBgZ+tgQHB5Oeni5bt2jRoujr61OuXDlUVVV58OABQUFBAFSsWFGW4La0tMTIyKjAJjh/FdHR0Tg7O7NixQoeP35M+/btWbhwIXXq1Mm3mDw9PVmzZg2HDx+mZMmSTJ06lWHDhslmlyQkJDB58mQ2btxIy5YtWbx48S9Zt93Hx4dTp07RrFmzXG/uKgiCIAi/i4iICExMTKhatSouLi6yQZIi6S2S3oWNSHrnsrw8aHTo0IGzZ89+07rt2rX75nUzeXp6yhrSRUREUKVKFRo3boyzszPbt2/H2NgYfX193rx5g5aWFkOHDs22+aYgCAXHsGHDuHv3Lg8fPvymxNiWLVvw9vamRIkSaGtro6mpiYODAw0aNKBChQocOnRIdhI1ZMgQ/vzzT9mIw8yu4M+fP+fFixf4+Pjg4+NDcHAwlpaW9OvXD1tb2xy/KZcdMzMz7t+/T6dOnbC3t6dZs2Zfff+ZDR//rXbt2nTt2pVu3bpRq1atLK9PSUlBW1ubYcOGsXr16lx7HzklNTWVadOmsWrVKtq0acOuXbvQ09PLs/1nZGTg5OTEwoULefToETY2Njg5OYl+EP9fWloaoaGhWRLh7969IzAwkLi4OOrUqYO5uTkNGjTIMlpH+HFhYWGcOnUKJycnrly5QmpqKi1atGDBggX5Vrc7PT2dM2fOsHr1am7dukWlSpUYN24cQ4cOzXKu9eLFCzp16kRgYCArVqxg5MiR4saHIAiCIAhZXL16lVatWmFnZ8fKlSvR0tISSW+R9C50RNI7l+XlQSMpKYkrV66Qnp6OlpYWGRkZODo6cvr06SzNJwGWL1/OpEmTvnnbgYGB1KpVC2VlZQwMDNDS0sLLy4vg4GA0NTVZuHAhw4cPF82wBKGAe/z4MefOnePdu3e8e/cONzc3GjduzOnTp394mzt27GDIkCGUKVOGfv36MWDAAFnt7+TkZNauXYu7uzvy8vLIy8sjJydH0aJFWb58OaVKlSItLS3Pyy18+PCBXbt24ejoiK+vL1WrVqVnz560bt2ahg0bZtvULT09nc2bN2Nvb09aWhoA6urqxMXFUalSJZo1a4a5uTnm5uZ4e3vTt29f7ty580uNrrx06RIDBw4kLS2NnTt30qFDh1zdX3p6OkePHmXhwoV4eXlhZWXF7NmzadasWa7uVxCy8/r1a5ycnDhx4gS3b99GTk6OZs2a0bVrV7p06fJN5Y1yQ3x8PLt27WLt2rW8fPmSJk2a4ODgQOfOnT8774qMjMTc3BxFRUVOnjyZr6VXBEEQBEEo2BwdHZkwYQLq6up4eXnJSlKKpLdIehcWIumdy/L7Thl8GnHo6urK48ePadSoEfXr1/+u5HRoaCjdu3fn7du3PHnyBC0tLeDTNPS3b9+ioaGBpqZmLkUvCEJOSE5OZv78+Sxbtgx1dXUMDAwoW7Ys5cqV448//vjPsiZfI0kS3t7eVK1aNcux5ebNm/z111+8fPkSKysrFBQU8PX15dWrVwDcunXru/YrSRJPnjzhxo0blC1blmrVqlGlShWUlZW/+prM4/CXnr9+/Trbtm3jwoULREZGoq6uTvPmzWnTpg2tW7ematWqWUZJhoaGMnHiRPbv30/t2rXp0qUL4eHhuLu78/TpU1kZilatWuHi4vLN76+gCA8PZ/DgwTg7OzN69GiWL1+eaw0527dvz7lz57C2tmbWrFn5NoJW+L0dP35cNsugSJEitGnThq5du9KxY0d0dHTyOzzatm3L5cuXsbW1xd7eHnNz8y+u2759ezw8PLh37x6VKlXKwygFQRAEofALDg7G19eXyMhIIiMjiYuLo0+fPpQuXTq/Q/uq8PBwbt26hbKyMuXLl6d8+fKyHjGvXr2icuXK7N+/nw4dOoikt0h6Fyqik9FvQFlZGSsrK6ysrL77tceOHZON4HZycpIlvOFTbVsDA4OcDFUQhFxw79497Ozs8PX1Zc6cOUydOjXbkcw/Sk5Ojho1anz2eO/evQkJCWHHjh0YGhqyadMmXr9+TalSpZg4ceJnCc74+HhGjx7NhQsXKF26NH///TeWlpbApwT5kCFD8PPzQ1FRUTbSWkFBAUNDQ1kCXE9PD11dXYoXL861a9dwcnIiICCAJk2aMGDAAHr27PnZcaxFixa0aNGC9PR0Hj58yKVLl3BxcWHChAmkpqZSrlw5GjZsiJGREUZGRlSpUoW1a9cyYsQIxo4dy/z58xkwYAB37twhNTWVBw8e8ODBA9q1a5djv+O8VLJkSU6fPs2mTZuYMGECd+7c4datW7lSakRXVxcdHR2OHz9O0aJFc3z7gvA10dHRjBkzhr1792JjY8P06dNp27YtxYoVy+/QZK5du8bFixc5duwY3bt3/8/1379/j5GRERUrVsyD6ARBEATh9/H06VPMzc1JTEzM8riBgQFdu3bNp6iyl5SUhKurKy4uLri4uPDw4cPP1ilWrBjly5eXDWBUV1fP4ygFIfeJkd65rCCM9P5RM2fOZNGiRXTr1o1//vmHkiVL5ndIgiB8p8yGinXq1GHnzp3Url07z/Y9cuRINm/eLPt3xYoVmTRpEoMGDfps5LAkSVhbW+Pi4sKUKVPYt28f6enphISEALB+/XrGjRvH6dOnsba2Jjo6Gm9vb3x8fPD29sbb2xt/f39CQ0OJjY0FQE9Pjy5dumBiYoKTkxMuLi4oKSkxaNAgJk2ahKGh4Vfjj4+P5+bNm7i4uPD48WP8/PwIDAyUPa+lpYWhoSGenp4AbN++ncGDB+fI766guHfvHk2aNGHChAksWbIkx7cfEBCAkZERCxYsYMqUKTm+fUH4Eh8fH9q2bUtkZCQbNmxgwIABBa7utSRJWFhYkJKSwt27d78pvkuXLmFtbc2pU6fo1KlTHkQpCIIgCIVfQkICZmZmKCoqcuzYMUqUKEGnTp2Ijo7m0aNHeV6q8X9lZGTw+PFjXFxcuHz5Mrdu3SIpKQldXV1atWpF69atsbKyQl5enrdv3/L27VsCAwNlP7dp04YRI0bke/5KjPQWcpoY6S1k69atWyxevJj58+czc+bMAnchKAjCf1uyZAnTp09n+vTpzJ07N0dHd3+LjRs3MnHiROLi4khLS6N27dpfPSGMiYkBICoqiqCgIFatWiV7LrMutp6eHsrKypQsWZKSJUvStGnTz7YTHx/Phw8fKFeuHPLy8gD89ddfhISEsHPnTtatW8fWrVvp2bMnU6dOxcTEJNt4ihYtio2NDTY2NrLHEhISePnyJb6+vvj5+eHr64uysjK3b9/mw4cP3/9LKuDq16/P3LlzmTVrFh07dqRx48Y5uv0KFSpgYmLC5cuXRdJbyFMnT54kJCSEFy9eUKFChfwOJ1sXLlzg9u3bXLhw4ZvPw1q3bk3Lli2ZPn26SHoLgiAIvz1JkggNDcXf3x9/f39ev34t+zkhIYEdO3b856CguLg4Ro4cSUBAAJ6enhgZGXHs2DFu377NpUuX8iXh/fr1a/bv34+fnx+vX7/G29ubiIgIVFVVadasGYsWLaJ169bUrFnzs3OIMmXK0LBhwzyPWRDywy830tvJyYlNmzbx4MEDEhIS0NXVpWHDhixfvjxLg6GYmBjmzp3L8ePHCQ0NRVdXl+7duzN37tzP7tjs2rULOzs7AFasWMHEiRM/2+/cuXOZN28eBw8epHfv3t8cb37fKftR5ubmPHv2DE9PT6pXr57f4fyU1NRUfHx8ZI31BOF3sG7dOsaPH8+cOXOYO3dufofzTcLCwhg9ejQeHh40btyYQ4cOyU7SkpKSKF68OGvWrGHUqFE/tZ/ExER27tzJihUrCAgIYOfOnQwaNCgH3kHhlJaWhqWlJeHh4Zw6dQpjY+Mc2/aVK1do1arVN5duEISccuDAAfr161dgz88kScLMzAw1NTVu3rz5XYMPFi1axPLly4mKihKDFgRBEITfTnR0NDNmzODq1au8fv2apKQk2XOlSpWiUqVKVKpUiXv37qGmpsa9e/eyHRzk7+/Phg0b2L59O/Hx8Wzbto1BgwaRlJRE9erVqVmzJmfOnMnLt8aDBw9YsWIFR44cQV1dHWNjYypWrEjlypVp3rw5jRs3/qmShPmdvxIjvYWcJp/fAXwrSZL466+/6NatG69fv6Z3796MGzcOS0tLbt++zZs3b2TrxsfH06xZM9asWUPVqlWxt7enRo0arFmzhmbNmhEfH//F/SxZsoSoqKg8eEcF24wZM9DR0aF27dpMnz49v8P5IZGRkSxbtoyKFStSu3ZtxowZk98hCUKecHR0ZPz48UyePJk5c+bkdzjfrHTp0hw9epTAwEAOHz6cJVmjoqKCiYkJd+7c+en9qKqqMnLkSPz8/LCzs2P48OG0bt2aLl260K9fP4YNG4a9vT2LFi0iISHhp/f3q1NUVGTv3r3IyclRu3ZtRowYQXh4+E9vNyMjgylTptCwYUO6deuWA5EKwrfLLG+U2Vi3oElKSsLf35/k5GTZLJhv5eHhQcOGDUXCWxAEQfjtXLp0iZo1a7Jnzx6srKxYunQpp06d4unTp8TFxREWFoa7uzv79+/n0KFDPHv2jMWLF8teL0kS165do0uXLlSuXJldu3YxYsQIXr9+zaBBg2TXD+/evWPlypV58p4kSeLSpUu0atUKU1NT7t69y99//01ISAi3b99m//79zJs3jxYtWuRKDx5B+JX9MuVN/v77bxwdHRk1ahTr1q1DQUEhy/OZTc0Ali9fzqNHj5g8eTLLli2TPT5nzhzmz5/P8uXLmTdv3mf7MDQ05NWrVyxdupSlS5fm3pv5BXTq1Ik2bdrI6rhOnTr1l7nTFRwczIIFC/jnn3+yPH7mzBnWrVsnK3fwb3fu3MHDw4OHDx/y8OFDJEmiV69e9O3bVzSDEn4pV69eZfjw4YwdO5alS5cWqqSHubk5Li4uObY9RUVFNm3ahI6ODgEBAcTHxxMUFERCQgKRkZG8evWKZs2aYWFhkWP7/FVVrlwZLy8vNm7cyPz589m3bx/ly5cHkP2NycnJIScnh46ODjNmzKBly5Zf3eaxY8e4f/8+N27cKFR/p8Kv4d9J77p16+ZzNJ9TVVXFxcWF1q1b06ZNGy5evChrNPU1kiRx+/Zt/vzzz9wPUhAEQRAKiJiYGCZOnMjWrVtp1aoV27dvl52rfkm9evWYPn06CxcuxNraGi8vL9avX8+TJ08wNjbmn3/+oX///qiqqnLz5k1Gjx7NmTNn0NHRYfPmzVStWjVX31NsbCx79+5lw4YNeHt7Y2pqyuHDh+nWrVu+1xAXhF/FL1HeJDExkXLlyqGpqcmLFy+++gGXJIly5coRExNDaGgoRYsWlT2XlJREmTJlUFNTIzAwUHaRnVneZMGCBezevZugoCD8/PwoW7as7LW/S3mTyMhI3r17h6KiIuXLl+fChQv06NGDgwcP0rVr1wJ/5/D169dYWVkRGBhIeno6Ghoa/Pnnn7Rv357GjRujrKz82Wu8vLyoWbMmRYoUoVatWtStW5eEhAScnJxISEjAwsKC7t2707Rp0/+sSSwI+Smz6VlaWhoeHh6FLpHo5OREt27duHfvHmZmZrm6r0ePHlG3bl3u3r1L/fr1f2gbkiSRmpqa7XHnVxYREcHmzZv5+PEjkiSReRqR+d+7d+/i4eGBjY0Ny5cvp2bNmp9tIy0tDWNjYwwNDTl37lyexi8I8OnvVVNTk+nTpxfoevIPHjygVatWaGpqsmrVKrp06fLVY3tSUhJ6enpERUXRqFEjevXqxcCBA78pYQ4QHh7OvXv3ePv2LXFxccTHx8uWuLg4ypUrx4gRIyhXrlwOvUNBEARB+DmXL19myJAhREZGsnLlSoYNG/bN10EpKSmYmZnx9OlT5OTk6NChA2PHjqVly5akpqZy5MgRVq9ezcOHDzE2NsbBwYG+ffuioqLyQ7HGx8dz+fJlzpw5w927d+nevTtjx45FS0tLto6vry8bN25k165dxMfH06VLF0aPHk2zZs1y/fouv/NXoryJkNN+ieydi4sLkZGRDBo0iPT0dE6fPo2vry+ampq0atWKypUry9b18/MjODgYa2vrLAlv+DQ9vmnTppw6dYqXL19SpUqVLM8rKiqyaNEievXqxZw5c9i2bVuevL/89ubNG+rUqZNtWZeqVatSp04d+vTpg6amJuPHj2fixImf/W4LAj8/P1q2bImysjKDBw9m7969+Pn5UbJkya++rnLlyhQtWlTW8C9TXFwcp06dYt++fUyZMoWUlBTU1dVp1KgRFhYWNGnSBHNzc5SVlYmKipItADVr1kRNTS03364gfObq1avcvn2bs2fPFrqEN3yagWJkZMSiRYtwcnLK1X0lJiYCn0Zb/oiQkBDs7Oy4f/8+t27dolq1ajkZXr7S0dFh1qxZX3xekiROnDjBlClTMDExYciQITg4OCAnJydLnF29ehVfX18OHTqUh5ELwv+Rk5OTzfAryOrVq8edO3cYN24c3bp1o2XLlvz9999f7LeioqLCmzdvOH36NEeOHGHSpEk4Ojri4uJCmTJlZOtJkkRERATPnz/n3r173L17l3v37hEQEACAgoICRYsWpWjRoqirq8t+PnnyJMuXL6dv375MmDDhP5t/CYIgCEJuiY2NZfLkyfzzzz9YWVmxffv2725OrayszJEjRzhw4AB//PGHLLd08eJFxo4di6+vL23btpWVF/mva6x79+7h7e1N3759ZYPlgoKCcHZ25vTp01y9epWkpCSMjIyoW7cuS5cuZdWqVYwaNQp7e3vu3LlDly5dKFGiBGPGjOGvv/7K0rtOEITv80skvT09PYFPSWkTExNevHghe05eXh57e3tZPSU/Pz+AzxLamTIf9/Pzy3adHj16sGLFCnbt2sWECRO+u4ljcnIyycnJsn9/bx3G/JCRkZEl4d2hQwfq16/P6dOnuX//Po8fP0ZRUZFt27axePFitmzZwuTJk0lJScHPzw9fX1/8/f2xtLRk0aJFeV4OJCQkhBUrVvDPP/9Qvnx5zp49S6NGjbCzs8s24Z2UlMTz5895/PgxT548wdvbG0mSuHLlSpakt7q6Ov369aNfv34kJSVx//59XF1dcXV1Ze3atV+tlaygoICxsTFmZmaYmZlRv359atWqVeBHygu/tiNHjmBkZISNjU1+h5IrFBQUmDp1KoMHD+bZs2fZjiDOKZnJoZcvX373fi5evEi/fv1QUlJCW1ubdu3a4e7uTunSpXMj1AJHTk6O7t2707FjRzZv3sz8+fPZunXrZ+sNGjSoQJaVEH4flStXLvBJb/h07nru3DlOnjxJt27dGD16NFeuXPni+sWLF6d///70798fX19fWrVqhaWlJR06dOD169eyJbPHTdGiRalXrx7du3enfv361K9fn4oVK2Z7YR8TE8PUqVPZvHkze/fu5cmTJ7l6LBYEQRCE7Fy7do3BgwcTHh7Oxo0bGT58eLZlTL9FtWrVmD9/PvBpQKC9vT1OTk40b96co0ePZrnBK0kSf//9NykpKZQpU0a2eHl5sXr1alxdXQHYs2cPFhYWnDlzhgcPHqCgoICFhQULFy6kY8eOGBkZARAWFsbq1avZsGGDrBRrp06dOHTokMgdCEIO+CWS3u/fvwdg1apV1KtXj7t371K9enUePnzIsGHDWLVqFYaGhowYMYLo6GgANDQ0st1W5hSFzPX+l5ycHMuWLaNly5ZMmzaNkydPflesS5YsybZeeEFWsWJF0tPTuXDhAtu3b8fFxQVnZ2eUlJRo1qwZJUuWRE9Pj9WrVzNmzBimT5+Ovb09xYoVw8jICCMjI8zNzdm3bx/VqlVj27ZtDBgwINfjDgoKYvny5Tg6OlKkSBEmTZqEvb09rq6uhIeHM3LkSNm6aWlpnD9/nh07duDs7ExaWppslFeNGjUYOnQo7dq1++K+VFRUaNKkCU2aNGHKlClkZGTg4+PD3bt3kZeXR0NDA01NTTQ1NUlNTeXBgwd4enri6enJnj17SEtLQ0lJiZo1a2JqakqTJk3o3bv3D0+LEoTsREdHU65cuUI5yhsgNTWVW7duAZ8+/7mZaDEwMKBSpUpcuXKFLl26fPPrMkdntGjRgj179hAfH0/Dhg3p2LEj165dK5CzZHKLsrIy48aNY+DAgdy9exdVVVXZaNGiRYtmKSEmCPnB0NAQd3d3JEn64eNmTEwMaWlpaGtr53B0WUmSxLlz51BSUmLRokXf/DojIyNcXV3p2bMnLi4uVKxYkWbNmjFo0CD09fVJTU1FVVWVoKAgAgMDOXXqFG5ublStWpWqVatiYGBAWloaycnJREVF4ejoyOHDh9HT02PSpEnUqFEjF9+1IAiCUBglJiZy7Ngx9uzZIyvLpauri56eHnp6erRq1eqrZbRSUlLo0KEDaWlp3Llzhzp16vx0TElJSaxcuZLFixejpaXFwYMH6dWr12fnBxcuXGDcuHGoq6sTFxeX5TlLS0ucnJwoXrw4vXr1wtPTExsbGyZMmEDbtm2zPVcoXbo0y5YtY/Lkyaxfv56nT5+ye/dukfAWhBzySyS9MzIygE8X0CdPnpSNwLO0tOTYsWPUrl2bVatWMWLEiBzZn5WVFW3atOHUqVPcvn2bxo0bf/Nrp02bhoODg+zfMTExv8R0FHl5edq1a0e7du1ITU3l+fPnsrIf/1axYkUOHjzItm3bUFNTy/IlYGdnR40aNYiMjMz1eE+fPk3Pnj1RVVVl2rRpjB07VlavMrM5lZOTE8eOHePhw4e4u7sTHh5OvXr1WLFiBY0aNcLY2Bh1dfUf2r+8vDw1atT44sWemZkZw4YNAz59qT9+/Jj79+/z4MED7t27x/bt25k5cybTp09nyJAh4ktNyBFxcXEUK1Ysv8PIFXFxcfTo0YMrV66wd+9erK2tc32frVq1+upoyv/l7+9Px44dMTU15cSJE6ioqKCjo4OzszNNmzala9eunDp16odLpvyqNDU1adOmTX6HIQifadKkCUuXLpX19vge6enpODo6MnPmTJSUlLhw4UKOXHR/yebNm9m6dSs7duygYcOG3/Xa8uXL4+HhQVpaGs7Ozri5uXHy5Ek8PT1JSkoCPp1j6+vrU6ZMGR49esQ///xDampqttv6+++/GTx4sLhxLwiC8JuIi4sjLCwsyxIaGir7+ePHj6ipqX2qxVy8OMWLF8/2ZwUFBY4fP87evXuJioqiRYsWVKhQgZCQELy8vAgJCeHjx4/079+fvXv3fjEeZWVldu/ezZAhQ+jevTuHDx/+qX4/169fZ+jQobJR3rNmzcr2mkqSJBYsWECjRo1wc3MjPj6e4OBggoOD0dLSwsTERLZucHAwAEpKSt8UQ4kSJX65wZOC8Cv4JZLemaO2zczMstQjBDA2NqZSpUq8fPmSqKgo2bpfGsmdWW7kSyPBMy1btgwXFxemTJkiG1n4LYoUKfLLJzCVlJSyHLCzk91oxZcvXwLIRkWmpKRw+vRptm3bhpGREZMnT+bVq1c0a9Ys220mJyfj4eGBnp6ebLrPl5QrVw4tLS0SExMpX758lgZN1apVo0yZMsyePRsdHR3q1q3LkCFD6NWrV65ekH6JqqoqDRs2zHKR6uPjw8KFCxk9ejRLlixh+vTpDB48+Jf/2xHyV1xcHElJSTg7O6Ovr4++vj5aWlq//MjvsLAw2rdvj6+vL+fPn6dly5Z5st+WLVvi6OjIrl27MDU1xcjI6Iuf0cjISNq1a4empiYnT57MkgwyNTXF2dmZDh060KFDB06fPv1bjfgWhIKqdevWFC9enKNHj35X0vvmzZuMHTuWx48fY2dnx5MnT2jWrBmnT5/+4jnOj5AkCT8/Py5fvsy4ceMYN24cdnZ2P7w9Z2dnunbtSrly5WjcuDGLFy+mQYMGVK5cmZIlS2aZFp6WlkZAQACBgYEoKytTpEgRVFRUMDIyKnTNeQVBEISsLl68yNKlS3nz5g1hYWEkJCRkeV5BQYFSpUpRunRpSpcujZ6eHomJiYSGhuLr60tMTAzR0dHExMTIbq5mKlWqFH/99RdDhw7N0pstU61atdDU1CQpKYmPHz/KlpCQEN6+fZtlkSQJf39/2rZtS3h4+Hdf8yQnJzN79mxWrFghK0XypfK2cXFx2NnZ4e7uzqVLl5CTk0NdXV028/1/fWuyWxCE3PVLJL2rVq0K8MXO85mPJyYmZqnZnZ3/qvmdKbN544EDBzhz5swPRP37qVSpEgAzZ86kWLFiHD9+nPfv31O7dm0uXrzIgQMH+PDhA/b29kyePJkpU6bg5+eHtbU1bm5uuLq6kpiYyMCBA9m1a9dX91WvXj0ePXpEnTp1sLOzw9LSUjbCW05Ojrt37yJJEmXLli2QCb9q1aqxb98+Zs6cyYIFCxg1apQs+W1nZyeS38IPqVGjBo6OjnTs2FH2WNGiRdm8eXOelBzKLX369OH+/fs4OzvnWcIbPiXEKleuLEsyKSsrs3DhQiZOnCg7rsTExHD48GHWrVtHREQEHh4e6OjofLatFi1acP78edmMGmdn50I7Kl8Q/oubmxuBgYHo6emhqalJYmIiHz9+JDIykvT0dPr164eCgkKux1GkSBE6d+7MkSNHmDVrlqzh1JcEBgYyefJkDh06hLm5OXfu3KFBgwbExsbStWtX2c25/x2g8b3S0tL4448/cHFxISIiAoBu3brJ+tf8KF1dXQBOnjyJqanpV9dVVFSkcuXK2SYkBEEQhMLp7du32Nvbc+LECSwsLOjVq5cssf3vRVtb+5vrZ6ekpBATE0NMTAxxcXFUq1btqzdP379/z8aNG9mwYcNnzxUtWpTy5ctTvnx56tWrR5cuXShfvjwmJibffc3//Plz+vXrh5eXF0uXLmXChAlfPPfw9/enS5cu+Pv7c/z4cVq3bv1d+xIEIf/ISZIk5XcQ/+XVq1eyE+//TWanpqZSqlQpUlNTiYqKQkFBgXLlyhETE0NoaGiW0XRJSUmUKVMGVVVV3r17Jzsw7tq1Czs7O5YsWcLUqVNl679+/Zpq1apRpUoVunXrxoIFCzh48CC9e/f+5thjYmLQ0NAgOjpaVk+8sEpJSaFNmzaEhoYiLy9Pq1atGDZsGDVr1mT48OHs37+fsWPHsnz5ciRJonjx4hgbG8uS166urlSoUAEPD4//bPgWGBhIz549uX//PitXrmTMmDEFMrn9rby9vVmwYAGHDh1CW1ubZs2ayZaaNWvmycW/UDikp6cTGhpKYGAggYGB7Nixg8ePH+Pv7//LTkU/e/YsQ4cOJS4ujvnz5zNmzJj/TE7lpKioKLy8vDh+/Dhr1qyhb9++DBkyhN27d3P06FGSk5OxtrZm4cKF1KtX76vbun37Nm3btqVWrVqcP3++0H8vCML/OnjwIP369eNLp5/Kysq8efNGlqDNbVeuXKFVq1bo6urSr18/Bg4cSK1atWTPZza/dnZ2ZtmyZRQrVoxly5YxYMCALBf8UVFRGBoa0qNHD/7555+fisnT05P69eszduxY2rVrh7m5+RcHfnyPmJgYKlSogLKyMrNnzyYxMZEmTZp8d7kUQRAEoXBJSUlh9erVLFiwAA0NDVavXp1tPeu84OTkxNu3b9HS0kJbWxstLS20tLTQ1dXNkRmskiSxceNGJk2aRIUKFdi/f/9Xz98vX75Mr1690NLS4uTJk4W+eXN+568y91+8hyNySnlfElJKTSTm6LDfIn/325B+EW3atJEAaevWrVkenz9/vgRI/fv3lz02e/ZsCZAmT56cZd3Mx2fPnp3l8Z07d0qAtGTJks/2O3bsWAmQDA0NJUA6ePDgd8UdHR0tAVJ0dPR3va6wycjIkD5+/ChJkiS5urpKY8aMkYKDg2XPbdmyRVJQUJC8vLy+up23b99K8+fPl0qUKCGVL19ecnd3l0JCQqRXr15JCQkJuf02cp2Xl5c0Y8YMydLSUlJWVpYACZDk5OQkJSUlSVVVVSpWrJhUokQJqVKlSpKpqanUsWNHyd/fP79DFwqoFy9eSPLy8tLmzZvzO5SfEhUVJY0ePVqSk5OT6tSpIz179ixf4jh06JCkqqoq+15YtGiRFBgY+F3b8PDwkDQ0NKSGDRtKsbGxuRSpIBQ8J06ckBQUFKRBgwZJUVFR0osXL6S7d+9K9+/flywtLSUlJSXpzJkzeR7XgwcPpLFjx0o6OjoSINWpU0eytbWVqlatKsnLy0uApKSkJE2cOPGr53MrV66UFBQUpBcvXvxUPOvWrZOKFCkiJSUl/dR2svPmzRupf//+svOLYcOG5fg+BEEQhF+Hi4uLVLVqVUlBQUFycHAodHmLjIwM6f3795Kbm5u0a9cuydraWgKk0aNHS/Hx8V99bWxsrFSkSBGpVatW0ocPH/Io4vyV3/mrzP0X7+EoafTdm+dL8R6OIn9XyPwSI73h02jvxo0b8/79e9q3b0+1atV4+PAhV69excDAAA8PD9mooPj4eCwsLHj06BGtW7fG1NSUx48fc/78edmI4n+PAP/SSG+AiIgIKlWqRGxsLIAY6Z1LBg4ciJeXF56enp89Fxsby/nz59m1axcXL15EVVUVGxsbdHR0uHDhAgEBAbJ1rays2L1791e7Pf8qEhMTuXPnDv7+/qSnp5OWliZbkpOTiYqKIjIykjNnzlC/fn1Onz6d3yELBVTv3r3x8PDAx8fnlx3tncnT05NBgwYRHR3N/fv3KVWqVJ7H8OrVK8LCwmjUqNEPjzbx9PTEysqKRo0acfr0aVHSSCj0XF1dsbKyolu3buzfv182gyktLY1+/fpx5MgRFi1aRP369YFPpcrk5eWpW7cuWlpaeRJjamoqFy5cYO/evYSHh1OrVi3ZYmxsnG1Jovj4eK5evUqjRo1ktT3Nzc05evToD8fRq1cvgoKCcHV1/Zm3A3yakn3jxg06depEiRIlZI/7+PhQvXp1HB0d+fPPP396P4IgCMKv5d27d0yYMIEjR47QtGlTNm7cWKhGMbu5uTF+/Hj8/Pyy9HurXLky69evx8bG5j+3kZiYiJqaGi1btpQ1q69Tpw7q6uq5GXq+yu/8lRjpLeS0X6KmN4ChoSGenp7Mnj2bCxcucOnSJXR1dRk1ahSzZ8/OkvgoWrQo169fZ968eRw7dozr16+jq6uLvb09c+bM+a4GYjo6OkyaNInZs2fnxtv67aWnp3P8+HHOnTtHnz59ZI9nZGSwfft2jh8/zrVr10hJSaFBgwaMHz+eW7ducezYMUqWLEmPHj1o2rQpJUqU4P79+0ydOhVzc3PevHmTp+UPcoOqqirNmzenefPmX13v6NGj9OzZExcXF1FfTMjW3LlzqV27NsuXL//lj2VmZmZcvHgRU1NTevToweXLl/O8UYyhoaGsh8CPMjMz49SpU7Rt25Y//viDAwcOiDJGQqG2evVqqlevzt69e7P8rU+bNo0jR44AMGPGjM9eN3ToULZu3ZonMSopKdGxY8csfRG+5OHDh6xcuZKTJ0+SkJDAypUrmTBhAgsWLGDQoEHcuXMHc3PzH4rj9u3bWc6Jvld6ejo7duxg165d3L59G/jU88HFxUVWbzw0NBSABg0a/PB+BEEQhF9Pamoqa9euZd68eairq7N371769ev3S5cKzc7p06fx9/dn2rRpVK5cmSpVqmBoaPhduSBVVVVmz57N+fPnmTJlCsnJyaioqODn51coBtkJwu/glxnp/avK7ztlBZmbmxuDBw/G19eX1q1bs3XrVgwMDADYsmULw4cPp1WrVnTq1ImOHTtSoUIF+vfvz8mTJ9m1axedOnVCWVmZqKgoHB0dWbJkCWlpacydO5cJEybk87vLO5Ik0bRpUyIjI7l+/TolS5bM75CEAmjGjBmsWrWKtWvXEhISwsuXL3n58iXBwcHUrFmTJk2aYGFhQYMGDVBTU8vvcP+Tq6srLVq0YPz48axYsSK/w/lhTk5O2Nra8ueff7J58+ZCd8EhCPCp3nXp0qVZunQp9vb2WZ47f/487u7usptJZcuWRV5enrCwMMzNzdm2bRtDhgzJp8j/z+vXr7lx4waRkZG8e/eOjRs3YmBgQM+ePVm0aBGbNm1ixIgRpKenY2ZmRkpKCvfu3fvu42lgYCDly5fHycmJLl26/FCsU6ZMYcWKFbRt25b+/ftTvXp12TmTi4sL5cqVY/78+WzevJnw8PBvbkYmCIIg/NquX7/OqFGj8PHxYcyYMcybNw8NDY38DivHXb16lf79+2NiYsL58+dzZJupqans3LmTv/76i4CAAFneorDJ7/xV5v5L2+1FXjnvr0kzUhII2zkAIyMjFBQUGDVqFKNGjcrzOISc82sPhRV+SQ8ePGDdunUcPHiQBg0asG/fPurXr09GRga3b9/m6NGj7Nixgz/++IPdu3dneW2HDh3Yv38/jx49omjRouzbt48TJ06QmprKX3/9xZw5c/Kl3EF+kpOTY8OGDbRo0YJq1aqxcuVKBg0aJJJnQhYzZszg8OHDjBgxAl1dXSpXrkyNGjWwsrLi8ePHrFy5klmzZqGoqEi9evWwsLCgS5cuWFhYFMi/JQsLC0aOHMmxY8d+6aR3165dcXR0ZOjQodSrV49hw4bld0iCkOMyv6d79er12XM2NjbZTjE+d+4c8vLydOrUKS9C/Kpnz57RrFkzIiMjKVasGNra2gwfPpzly5fTu3dv1NTUZLOyFBQU2L9/P2ZmZowbN+67R6k7OTkB0KhRox+K9fjx4yxfvpxVq1bh4OAge9zV1ZVWrVplmaXSrVs3kfAWBEH4DYSFhTFx4kT27dtHkyZNePDgASYmJvkdVo5LSUmRDfRp3rx5js4UU1JSkpWJLF26dI5tVyiY7t27JwatFhIi6S3kibS0NJycnFi3bh1ubm6UL1+eRYsWMXbsWB48eMC4ceM4fvw4QUFB6OrqMmDAAObNm/fZdmxtbXn06BFr1qxh0aJFVK1alXnz5jFgwAD09PTy4Z0VDCYmJvj4+ODg4MDgwYPZs2cP//zzD1WrVs3v0IQCQk1NjcePHyNJUrZ16DIyMvDy8sLV1RU3NzcOHz7M6tWrqVKlCoMGDcLOzq7AfcaqVavGpk2bSE9P/6VLg2TeVKhUqVI+RyIIucPLyws1NTWio6Nl5TW+5vr160ycOJHu3bvn++yllJQUevbsSbly5fD19c1SFxvg8ePHVK9eHV9fXypVqkSRIkWoUaMGGzZsYMiQIbRs2fKbe8G8f/+eOXPmMHjw4B++oJ4xYwYdO3b8bES9gYEB7u7uODs7o6CggJKSEk2bNv2hfQiCIAi/hoyMDBwdHZk2bRoKCgrs2LGDgQMHFtobnitWrGDdunUsW7aMCRMm5Pj7DA0NRUND45fvkSQIvxNR3iSX5ff0kILgzZs3dO7cmcePH9O0aVPGjRtHp06dUFRUZN++fQwYMIAyZcpga2uLra0tjRs3/s8E1vv37wkODsbExKRAjkLNTy4uLowYMYLAwEAuXbpEs2bN8jsk4ReUkZHBjRs32LlzJ8eOHUNRUZEVK1YwbNiwAvGZy8jIwNbWlitXrhAeHo6ysnJ+h/RD4uPj0dfXp3z58ty8efO3/Z4QCreIiAisrKx4//49d+7c+eqU4OvXr9O+fXuaNGnCqVOnUFXN+yZG//b48WPq1KnD5cuXadmy5WfP79ixQ1Z+ZeHChbK65JIk0a9fP5ydnXn69Oln7zkjI4Nbt26hpKSEjo4OJUuWxN7enjNnzvDixQt0dHR+KN7M7UyfPv2HXi8IgiAUDg8fPmT48OHcvXuXIUOGsGzZss9u3BYmkiRRvXp1zM3NP5st/rPbjYuLIy4ujtmzZ3Pr1i18fHxybPsFTX7nrwpKeZPfOX9X2IiR3kKOioiI4ObNm4SGhhIaGkpYWBhOTk4ULVqUO3fuyBomJSUl4eTkxJgxY+jTpw/79u37rjuxpUqV+u3KmHyr1q1b8/TpU8zMzHB0dBRJb+GHyMvL06JFC1q0aMG6deuYPHkyw4cP58CBA9ja2tKwYUNMTEzyLdm8dOlSnJycOHny5C+b8AZQVFSkXbt2HDp0iLJlyzJo0CBGjRpFtWrV8js0QcgxOjo6XLlyhXLlynH69GnGjBmT7XoeHh60a9cOgLZt23Lx4kU6dOiQr42pMxvlZpd8DwwMZPHixbLnra2tOXv2LO7u7ty+fZvAwEDS0tLYuXMnc+fOzfLaWbNmyV77b1u2bPnhhDd8upH2PU26BEEQhMIlNjaW2bNns379emrUqIGrqytNmjTJ77By3aNHj3jx4gVr167N0e12795dVnoMoE2bNjm6fUEQclfhnNci5LmPHz8yc+ZMKlasSPfu3Rk3bhw7duzA3d0dBQUFBg0aRFBQEBcuXGDYsGHo6urSs2dPatasyYYNGwrtFKv8oqqqSs+ePXF2diY5OTm/wxF+cVpaWmzdupVLly6RmprKhAkTaNCgARoaGlhaWrJhwwaioqLyJJbo6GhGjx7NzJkzmTVrFp07d86T/eaWIkWKsG/fPgICAhg/fjyHDx+mevXq2NraEhQUlN/hCUKOKVmyJNra2nh4eGBmZsby5cv538mGgYGBlClTBjU1NSZPnkzXrl2ZNGlSPkX8SZEiRYBPN+v/LTAwkBYtWpCWlsbevXtp2bIl9evXp0OHDmzbtg1NTU1CQ0NJTk5m3759Wd7rjRs3WLJkCXPmzOHZs2dcv36dY8eOcerUKYYOHfpT8erq6vLq1auf2oYgCILw65EkiWPHjlGtWjUcHR1ZunQpDx48+C0S3gCHDh1CR0cn21lZP+rq1as4OTmxaNEizp49y/Xr19m/f3+ObV8QhNwnypvksvyeHpLb/Pz82L9/P2vXriUlJYUxY8ZgZ2eHp6cnp06d4uLFi8TGxqKgoEB6ejrwqa7kgAED6N+/v6g5nYuePXtGrVq1aNOmDUOGDKFjx475Pk1cKBySkpJ49OgRHh4eXLt2jXPnzqGoqEjPnj3p3LkzxYoVQ1VVFRUVFVRVVVFTU6NEiRIUK1bsh0ujSJLEkSNHGD9+PHFxcSxYsICxY8cWuhtmycnJHDx4kKlTp5KYmMjSpUv566+/Ct37FH5P1apV48WLF7Lzon379tGvX79s15UkiXXr1mFvb8+JEyfo2rVrHkf7SVhYGLq6uvzzzz/89ddfssdr1qxJbGwsN27coEKFCtjZ2XHy5EkuX75MvXr1kJOTw8PDQ9aQcsSIEcCnkdiXLl2iatWqXLlyJcf7EQwePJh79+7x9OnTHN2uIAiCUHC9evWK0aNHc+HCBbp06cK6desoX758foeVZyRJokKFCrRr147Nmzfn2DabNGlCWload+7cKRDlHfNCfuevRHkTIaeJpHcuy++DRm54+fIlu3btwsnJiefPn6OqqsrAgQOpXr06165d4/z58yQnJ1O/fn06depEx44dqVWrFhEREURGRmJkZCQSOHlkz549bNq0iTt37qChocHChQsZOXKk+P0LOSo0NJRdu3axdetW/P39v7ieiooKpUuXxsLCgn379n3Ttv39/Tl79ixHjx7l1q1bdO/enbVr11KuXLmcCr9A+vjxI1OmTGHr1q2ULFkSY2NjqlevTo0aNahevTomJiY/VQJBEHJDRkYGu3btYs+ePURHRxMbG0vlypVZtmwZJiYm9O3bl6ioKMLDwwkICOD+/ftfvSiXJElWu//Bgwf51uy1d+/enD9/nkePHlGxYkXgU/kVf39/vLy8UFJS4s6dO1hZWVGkSBGmT5+OnZ0dTZo0QUlJiWLFihEZGYmamhpqamqULl2atWvXoq+vnyPxxcTE4O7ujqurK8ePH8fb25vY2NhsmxYLgiAIhUdycjIrVqxg0aJFlC5dmr///puOHTvmd1h5Lj09nWLFijFv3rwcmyEWHh5OqVKlGDBgALt37xZJ7zzev0h6CzlFJL1zWX4fNHJKRkYGLi4urF+/nvPnz6OhoUHLli0xMjIiKiqKI0eO8OHDB8zNzenZsye2tra/1d3lgs7Pz49Vq1axZcsW2rVrx5kzZ0TiW8hxGRkZREREkJiYmGVJSEggIiKCsLAw9u3bx/v373nz5s0Xt+Pq6srJkyc5e/YsPj4+KCkpYWlpiYODA+3bt8/Dd5T/PDw8uHDhAt7e3jx//hxfX19SUlJQUlLCzs6OadOmUaFChfwOUxB49uwZI0aMwNXVlXbt2mFgYIC6ujpnzpzB19eXP//8kwULFlCsWDH09fXR09NjwIABVKlShSpVqmBoaIiKispn242OjqZevXpoaWnh5uYmKzeSl6Kjo6lVqxatW7dm+/btANy/fx8zMzMuXLiAtbU1ACEhIcyfP5+tW7eiqKiIoqIi9+/f/6FZbSEhIVy+fJnLly/z6tUrjIyMqFmzJqamprJeHZIk0bt3b44dO0ZGRgY6OjpYWFhgbW3NX3/99dtcoAuCIPyO7t69yx9//MGLFy9o2bIl69evx8DAADU1td/y+N+qVStUVVU5c+ZMjmwv89zl5s2bODo68ueff+bIdgu6/M5fiaS3kNNE0juX5fdBI6e0bNmSq1evyv5dqlQp3r9/D4C2tjYDBw5k2LBhovlaAefo6Mhff/1FQEAABgYG+R2O8Btq06YNampqnDx5Mtvn37x5I0vi9uvXj27dutGqVatf+viZk9LS0nj9+jUnT55kxYoVxMXF8fTpUwwNDfM7NOE3FRkZydy5c9m0aROGhoZs3rwZKysr2fOpqals3ryZOXPmIEkS7u7uxMTEMGbMGLy9vYmLiwOgaNGiHDhwgE6dOn22jwcPHtCoUSM0NDSwsLBg6NChsoaXecXW1paYmBguXboEfCpToq6uTo0aNWjTpg1NmjShdevWaGho4Ovry+LFi6lcuTKqqqp07NgRIyOjr24/NTUVNzc3nJ2duXjxIs+ePQOgTp06VK9eHV9fX7y9vUlISKB79+60aNGCoKAglixZwrJly+jcuTNGRka/ZaJDEAThdzRmzBg2bNjw2eMmJiZcv34dTU3Nn97Hx48fkZeXR0ND46e3ldsWLVrE8uXL+fDhww81wE5NTeXatWucPXuWc+fO8fLlS4oUKULz5s1ZuHAhZmZmuRB1wZPf+SuR9BZymkh657L8PmjklIkTJ7Jq1SoqVKiAsbExxsbG1KhRA2NjY2rVqpUvI6+ErDIyMvj777/R19fHyMiI2NhYwsPDUVdXlyUgMuuLLly4kClTpvzQCYEg/IwyZcowePBgFi5cmO3zkiSxadMmHBwcqFmzJqdOnSr0pUx+VExMDJUrV6Z79+45Vr9QEL5VWloaW7ZsYfbs2aSkpDBz5kzGjx+f7flARkYG7dq1k9WaLlOmDPDp8x4WFoafnx9r1qzh9OnTbN++nYEDB362jfv373Py5EnOnTuHt7c3L1++lG0nL0ycOJFdu3bh5+eHlpYWAAcOHODcuXO4ubkREBCAtbU1Y8aM4fHjx5w9e5bbt2+jqKhIWloapqam9OnTh/79+1O6dGng0w2Dc+fO4ezszIULF4iOjkZXVxcbGxtat25Ny5YtKVWqlCyGjIwMOnTowPXr10lPTyctLQ1bW1sOHz6cZ78HQRAEoeBITEwkIiJCtoSEhDBu3DgsLCw4deqUbGavJEmsWbOGAwcOoK6ujqamJpqamvTs2TPbm8jJycnY2tpy/vx5GjRowO3bt/P6rX03Nzc3LCwsuHfv3g8lqMeNG8f69espV64c7du3p3379lhZWVG0aNFciLbgyu/8lUh6CzlNJL1zWX4fNHJSWlqaSJIWYE+ePMHExOSzx4sUKUJCQgLy8vJkZGQwZswYNm/eTM2aNdm4cSOWlpb5EK3wu7KwsEBHR+eLI70zPXz4kLZt29KlSxe2bNmSN8H9ghYvXsz8+fO5f/8+NWrUEKM8hTzx4sULunfvzvPnz7Gzs2PRokXo6up+cf2///6bcePGcf78eVkpkP+Vnp7OiBEj2Lp1K66urjRp0iTb9aKiojA0NMTW1jZXjw2SJJGQkEBUVBSlS5fm5MmT9OjRg+XLl2dbL7Rr166y45qmpib169dn3LhxWFlZce7cOQ4cOMDZs2dRUVFh/vz5PHr0iAMHDpCcnIyZmRkdOnSgQ4cO1K1bV5QfEwRBEH7YuXPn6NChA2ZmZjRv3pzGjRuzd+9eTpw4QY8ePVBSUiI6Opp3797x+PFjJk2axKJFi1BSUpJtIz09nZo1a+Lj4wPAo0ePsr3OLEhSUlLQ0tJi7ty5313XOz09HT09Pfr27cuaNWt+6/Pp/M5fiaS3kNPEWbXwzUTCu2BLSUkBYMuWLdy7d48nT57Qpk0bzMzMZBfQ8vLybNy4kXv37qGmpkbTpk0ZNGgQqamp+Rm68Bvp3Lkzly5dIiEh4avr1a1bl4EDB+Lk5ERaWloeRffrGTlyJOrq6tSsWZPixYvTpk0bgoOD8zssoZB7/vw5Xl5ebNu2je3bt3814Q2fypNoaGhkSXgnJCRw+fJlPDw88PHxITw8nMGDBwOfLj6/RFNTk5kzZ7J9+3bZxfjPSkpKwsXFhRMnTnD+/HmmTJmCqqoq6urqlCtXDiMjI3r16oWFhQX9+vXLdhsrVqzg9OnTBAQEEBkZyaVLl2jfvj2qqqp0796d48ePExQURKdOnRg3bhyXL19m3rx5BAcHc+/ePebMmYOpqalIeAuCIAg/pV27dhw7doyKFSty4MABunbtyuXLl3FycuLIkSPs378fZ2dnHj58yKpVq1izZg1WVlYEBQXJthESEkKtWrVk/965c2d+vJXvoqysTJMmTbh+/fp3v/bu3buEh4fTo0eP3zrhLQiFkRjpncvy+06Z8PuQJAkTExNSUlLYuXMnDRo0oFSpUowePZp58+Z9tn5GRgZbtmxh5MiRnD17Ns/rowq/J19fX6pWrcqJEyfo2rXrV9e9e/cu5ubmXL16lRYtWuRRhL+e8PBw7t27h5eXF+vXr0dZWRk3N7f/TEQKwo9KT0+ndu3alCtXjosXL/7n+pMnT+bgwYMEBgbKHlu4cCGzZs36bF1VVVU+fvz41bJpycnJVK1aldq1a3Pq1KkfukCNiIjg7NmznDp1ikuXLhEfH5/leXt7e8zMzJAkiWnTpmFnZ8esWbNyZADAmzdvKFu2rBhMIAiCIOQqSZIIDAxETU0NHR2dbNdxc3OjV69epKSkcODAATw9PZkzZw7q6uo4ODgQFBTEsWPHCAoKyjIavCBasmQJS5YsITIy8pu+YyVJ4v3798yePZsTJ04QGhqKgoJCHkRacOV3/kqM9BZymkh657L8PmgIvxcvLy8GDRqEp6cnw4cP559//uHatWs0b9482/UlSaJUqVKMGDGC+fPn522wwm+rYcOGxMfHc//+fZSVlb+4niRJVKxYkXbt2rFp06Y8jPDX9ebNGypWrIijoyNDhw7N73CEQuzYsWP06NGDW7duYWFh8dV1p02bxtKlS4mPj0dN7dMFTMOGDSlVqhSLFi0iKiqK6OhooqKiKFeu3Be/s/7t+PHj2NraMmfOHDp16kTVqlW/ue5m5g1fSZJo2LAhnTp1omPHjujp6ZGYmIiCgoK4aSQIgiD8NsLDusaLAgABAABJREFUw+nfvz8uLi6oq6vTvn17tmzZQvHixXn8+DF16tT5JQZJubu707hxY27fvk2jRo2yXefatWscPHiQ58+f4+3tTWRkJAAODg6sWrUqL8MtkPI7fyWS3kJOE3MoBaEQMTY2xsPDQ5bwBpg9ezbR0dHZri8nJ0fDhg3Zu3cvjo6OhIeH52W4wm9qy5Yt+Pj4sGzZsq+uJycnh62tLSdOnPhquQPh/xgYGFC8eHE+fvyY36EIhVyrVq1QUVFh//79X13v5MmTLFu2jOnTp8sS3hkZGTx+/BhtbW1q1qyJpaUlHTp0oH///t+U8Abo3r07Y8aMYd68eZiamqKuro6BgQFz58796utCQkKYOHEiffv2JTg4mNu3bzN16lSMjY3R1tambNmyIuEtCIIg/FZKlizJuXPnkJOTIy4ujubNm8sSfrVr16ZmzZocOHAgn6P8b/Xr10dLS4tz5859cZ1hw4Zx4cIFDAwMcHBw4MSJE/j4+LBixYo8jFQQhLwikt6CUMgoKCiwfv16WrZsCcCtW7do3rw5YWFh2a4/b948KlWqxIgRI9DT06N169a/xEmN8OsyMTFh8uTJLFiwgOfPn391XVNTU8LCwnj9+nUeRffr09LSIioqKr/DEAoxSZIYPHgwysrKODg4fHE9T09P+vXrR/fu3VmwYIHscXl5eZYsWcLu3buZPHnyD8exfv16oqKi8PDwYNeuXSgpKeHm5vbV10yaNAkVFRXWr18vktuCIAiC8P8pKCigpqaGJEloamrKHpeTk6NWrVq/RM8YRUVFbGxsOHv2bLbP+/r68vLlSzZs2MD+/fuZMWMGXbt2pWrVqqKnhiAUUuKTLQiFkJKSEufOnWPs2LHAp47b9evXz3bdevXqceXKFUJCQtiwYQOhoaEMHDiQjIyMvAxZ+M3MmjWLSpUq0bt37y82o5MkibVr19KgQQMMDQ3zOMJf0/Pnz0lMTBRJbyFXrVy5EicnJ/bs2UOVKlWyPBcaGsqmTZto0aIF5ubmGBsbs3v3btnFZEhICEuXLuX48eMAbN68+T8b236NhoYG5ubmWFtbk5CQQN26db+47s2bN9m/fz9Lly5FS0vrh/cpCIIgCIXNu3fvSE1NBfjsOzI5OfmrvTYKkvbt2/Pw4cNsk/TOzs4UKVJENjhMEITCTyS9BaGQUlZWZt26dVy4cIGJEyf+Z42yUqVKMXz4cOrUqUOdOnXE3W4hV6moqHD48GGSkpIwMTFhwYIFpKSkZFnn1KlT3L17l8WLF4tO6v/B19eXAQMGULNmTYoUKYKtrW1+hyQUUo8ePWLq1Kno6+vj5eXFnj17uHLliizRXbZsWcaNG0eRIkXYunUrV65ckZU1AZg5cybTpk1DTU2NrVu34ufnl+X5H3H8+HGqVKlCSkoKvXv3znadtLQ0xowZg7m5OXZ2dj+1P0EQBEEoTJKTk7G1tUVbWxvgs+bOKSkpX+3DU5C0bdsWeXn5z0qcnD59muXLl9OqVatv7gEiCMKvT2S1BKGQs7a2ZsWKFfTo0eOb1o+IiCA5OZm0tLRcjkz43ZmYmPD48WMmTJjA/PnzqVevHu7u7qSnp3PmzBkmTJhAy5YtxWiML4iJieHq1av069eP6tWrc+bMGXR1dXn79i1WVlY4OTnld4hCIVS0aFFsbGzQ1NRk1apVDBw4kFatWmVJdIeFhXHhwgUGDx5MsWLFsrx+0qRJqKqq8vDhQxwdHRk1ahRDhgyhbdu2eHp6/lBM7969Iy4ujo0bN1KvXr0sz0mSxMOHD2nfvj1Pnz5lw4YN4qauIAiCIPyLg4MDDx8+5MSJEzRu3JiZM2fKRn0DlChRAm9vbyRJyscov422tjaWlpZs374dSZIICwujV69edO7cGVNTU7Zs2ZLfIQqCkIfkpF/hyPULy+/ut4Lwve7cuUOjRo1YvXo148ePz+9whN/EkydPGDp0KJ6enpQpU4agoCDq16/P7t27qV69en6HVyB4e3tz69Yt7ty5w507d3j+/DmSJFGiRAliYmLIyMigU6dOnD17lpSUFB49eoSJiUl+hy0UcomJiQQFBVGiRIlvLhni7u7OhQsXWL58OUlJSbLH27dvj7Oz83fH8PHjR2rUqEFGRgZBQUH4+vri5ubGzZs3uXHjBoGBgRgZGbFixQo6der03dsXBEEQhMLq5MmTdO3alS1btjBs2DAePXqEqakpK1askPXtuHnzJs2aNePy5cu/xGAUFxcX2rRpw8iRIzl06BBycnKsX7+ePn36iNmj/yG/81eZ+y9ttxd55Z+bCfgjMlISCNs5QOTvChGR9M5l+X3QEITv8fbtWzQ0NJg5cyY7d+7kxIkTNGnSREwBE/JEeno6mzdvxsvLCzs7Oxo0aJDfIRUI0dHRTJo0ia1btyIvL0+tWrUwNzenYcOG+Pj4sHz5cgYOHMjSpUs5cuQI48aNY9u2bQwZMiS/QxeEbEVHRzNixAgOHjxI+/btad++PZaWltSoUeOLo7CTk5N5+fIlsbGxyMnJIS8vj7y8PA8ePGDmzJnExcXRunVrbt68ycePH5GXl6du3bo0b96c5s2bY21tjZKSUh6/U0EQBEEo2BwcHDhz5gy+vr6yhPDo0aPZs2cPgYGBaGhoIEkSNWvWpEaNGhw9ejSfI/42rVq14sqVK/Tt25e1a9dSsmTJ/A7pl5Df+SuR9BZymmJ+ByAIQsEQEhKCoaEhaWlpVK5cGQUFBaytrVFQUKBOnTo0btyYJk2a0LhxY/T19fM7XKEQUlBQYPTo0fkdRoHi7OzM8OHDiY6OZuPGjQwcOFB2E2rHjh0sX76cKVOmsGTJEi5fvoy9vT0TJkwQCW+hwHJzc6N///5ERkZy4MAB+vTpI3vu3LlzTJw4kerVq2NjY4O/vz/e3t48f/6cV69ekZ6enu02+/Xrx9y5czEzM8PKyopRo0Zhbm6Ourp6Xr0tQRAEQfglRUZGUqpUqSwjoLt168bGjRuJiIhAQ0MDOTk5hg8fjr29PX5+fp81sS6I9u/fz6tXr2jcuHF+hyIIQj4SI71zWX7fKROEb/XkyRNMTEz4f+zddViU2fv48ffQ3ShlACoKigl2d6/K2t3d3bp2r2Ktha5ri92FibEqGBgoCggCEgLSzMzvD3/O98OCigoM6HldF9cu85znnPvBYZi5n3Pu4+rqiouLC7dv3+b+/fukp6ejpqaGRCJR1HZr1qwZ7u7u2NvbKzlqQVC+kJAQPD09iY6OJiYmhtjYWKRSqWI26qf/mpmZYWlpqfiysrLC0tISHR0dZDIZ0dHRvH37lrCwMN6+fcupU6fYs2cPzZo1Y+PGjRQtWjTDmI6OjrRv355t27YRGhpKhQoVsLW15caNG6iqqirxJyIImaWnpzNv3jz++OMPqlSpQsOGDbl16xaFCxemWLFiREREsHXrVho0aMDbt2958uQJNjY2lClTBkdHR8qUKUOZMmUwMTFBLpcjk8mQyWQYGhpiZ2fHvn376NSpE8+ePaNUqVLKvlxBEARBKBDatGmDXC7n2LFjisdOnjxJy5YtCQkJwcrKCvhYzszBwYHKlSuLfWN+YsrOX4mZ3kJOEzO9BUEAwNnZmUGDBrFjxw5atmzJlClTKFGiBOHh4fj6+hIcHIy/vz/nzp3Dy8sLJycnJkyYwLhx4zAyMlJ2+IKgFLdv36Z169bExMQoahobGRmhqqqKXC4nLi6O2NhY1NTUSElJUWwU+7/09fVJTk7OsGEQgKWlJdu3b6dHjx4ZZt/I5XKGDh2Kjo4OK1asID09HWtrawDevXtHpUqVcHNzY9KkSWhoaOT+D0EQsuHChQvMmTMHLS0toqOjWbhwIU2aNCE0NJQbN24QHx/PunXrGDx4MADJycloa2t/sc/09HQuXbrEwoULOXDgANWrVxcJb0EQBEH4BlFRUZkmMiUlJQGgpaWleExbW5vFixfTtWtXLl26RP369fM0TkEQhO8hkt6CICgsX76ciIgI/vzzT6KjowGoXbs2Fy9eRE3t48vFhQsXaNWqFVZWVixbtgx3d3fGjRvHyJEjxd1Q4Zdy8OBBunfvTsWKFTly5EiWtQL/u1mOrq4uzs7OVKlShdq1ayOVSgkLC0NbW1sxA9zCwgILC4vPJvz27dvH0aNH8fT0xNjYGA8PD8WxdevWMXXqVGbNmkX79u1xcnLiw4cPAKLUg6BUjRs35p9//mHHjh2oq6uzd+9eKlWq9Nn22trabNiwgb179zJixAjatm2Lqqoq6enpeHl5sW/fPjw9PYmKisLOzo7BgwczdOjQPLwiQRAEQSjYkpOT8fHxoW3bthke/5T0/u970c6dO7N69WrGjBnD3bt3xcpCQRDyvax3CxIE4Zekq6uLp6cnkZGRhIaG8s8//3Dt2jWqVKnC2rVriYmJoWHDhpw6dYqIiAiKFStGlSpVmDdvHra2tixcuFCRYBOEn1F0dDSbNm2iQYMGuLm50bZtWy5evJgh4S2VSomLiwPg8OHDVKlSRXHM2NiY+Ph4duzYQffu3dm3bx+VKlVi2LBhtG/fnurVq2Nra/vZhHdkZCQjRozAzc2Ndu3aAShikMlktG7dmri4ONTV1ZkzZw4TJ07EysoKU1NTmjVrxvr16wkLC8vFn5AgZE1FRYWuXbty+vRpjh079sWE9yeJiYl4eXnRoUMHHBwc6N27N5aWljRu3Jjz58/Tv39/7t69y4sXL1i4cKHYb0IQBEEQvsHVq1dJTEykefPmGR4PDg5GR0cHTU1NAHx8fPDx8UEqlbJq1Sp8fX3Ztm2bMkIWhHzpzp07tGjRAmNjY3R1dXF1dWXXrl3f1IdMJsPd3R1nZ2e0tbUxNzenY8eO+Pv7Z+v8JUuWIJFIkEgk3Lx5M8s2cXFxjB07lmLFiqGpqUmxYsUYO3as4rNrVnbt2oWrqyu6uroYGxvTokUL/v3332+6NmUSNb1zmbJrIgnCj7p48SJr1qzh2LFjqKur4+HhQadOnbh79y4zZ87k1KlTGBgYYGdnx+PHjzEwMGDMmDF06dIFW1tbZYcvCDnizp07zJ07lzNnziCVSqlfvz6dO3dGX1+fXbt2ERQURExMDDExMYo3DY0bN2bp0qU4Oztz6tQpli9fzvXr10lJSUFVVTXDpnzBwcHY2Nh8MYYPHz7QtWtXrl27hp+fHxYWFlm28/Pz49ChQxw5coRHjx4xePBgihcvzpEjR7h8+TLFihXj5cuXOffDEYRc8vjxY8qWLcsff/zBgwcPePToEa1bt+b333+ncuXKmVZSCIIgCIKQfePGjWPPnj28efMmw9/UmjVrUqhQIQ4dOkRUVBQ2NjYkJyejq6tL1apV8fX1RU1NDX9/f/T19ZV4BUJOU3b+qiDW9Pby8qJp06ZoaGjQuXNnDA0N8fT05NWrV8yfP5+pU6dmq5+BAweyadMmHB0dadmyJeHh4ezduxctLS1u3LiBo6PjZ8998uQJFStWRE1NjYSEBLy9valWrVqGNgkJCdSqVQsfHx8aN25MpUqV8PX15fTp01SoUIFr166hq6ub4ZwFCxYwbdo0ihYtipubGx8+fGDPnj0kJydz5swZ6tWrl61rUyaR9M5lyn7REIScEhYWxujRozl8+DBjxoyhadOm1KhRgzdv3rBx40ZWrlxJz549UVNTY+PGjZQoUYJnz56hoiIWlAgF26lTp+jQoQMlSpSgf//+VKxYkWPHjuHh4cG7d++oXr065cuXx9jYGBMTE4yNjZHJZCxbtgx/f3969+7N+vXr0dTUJCUlhTt37nDlyhWuXr1KTEwMFhYW7Nix44t/I+7evUuXLl0ICQlh165dmZahfo5cLld8iJFKpdjb21O5cmWmTp1KpUqVRNJQUJqUlBROnz7No0ePePz4MY8fP+bVq1dYW1vj4OCg+Bo1ahT9+/dn5cqVyg5ZEARBEH4qTk5OVKtWjS1btigei4qKwtzcnM2bN9O3b18WL17MrFmz8PT05OHDh3h7e+Pt7U1ERARHjhyhTZs2SrwCIacpO39V0JLe6enplC5dmjdv3uDt7U3FihUBiI+Pp3r16jx79gw/Pz9Kliz5xX4uXbpEgwYNqF27NufOnVOssrhw4QKNGzemdu3aXL58OctzpVIp1atXRyKRUKpUKXbu3Jll0nvWrFnMnTuXiRMnsnjx4kyPz5w5kzlz5ige9/f3x9HRETs7O27fvo2hoSHwcVKKq6srlpaWPH36VFEGN78SSe9cpuwXDUHISSkpKYwaNQpPT0/evXuHrq4uVapUoX379nh5eXHo0CHOnz+PVCqladOmnDlzhiZNmig7bEH4bv/88w+9e/emYcOGdOzYkb///hsvLy+MjY3p1asX/fv3x8nJKctz/fz8qFGjBgkJCTx8+JDSpUt/VwxHjhzh999/p2zZsuzZs+e7N+o7deoULVq0UHx/4sSJDN8LQl5au3Ytw4cPx9jYGCcnJ5ycnLCzsyM0NJSnT5/y7NkzAgMDkcvl1KtXj0uXLik7ZEEQBEH4abx+/RpbW1v279+Pm5ub4vGwsDAsLS05fPgwLVu2xN7engYNGmQoZyKXywkPD6dQoUJigtNPRtn5q4KW9D579ixNmzalT58+bN26NcOxvXv30rlzZ6ZMmcKCBQu+2E/Xrl3ZvXs3ly9fpk6dOhmONW/enNOnT/Ps2bMsPwcuWLCAOXPmcO/ePZYuXcr27dszJb3lcjk2NjbExcURFhaWYUZ3cnIyVlZW6OjoEBwcrJgUNXXqVBYuXMj27dvp2bNnhjGHDBnChg0bCkS+R7xCCYKQbZqammzYsIGwsDDu3r2Li4sLly9fZtSoURw6dAgzMzMePHhAzZo1cXZ2Zt26dcoOWRC+2+rVq+nevTt2dnbcv3+ffv36IZfL2blzJ6GhoaxcufKzCe+tW7fi6upKoUKFuHHjxncnvAG0tLSQyWSEhYVhamr63f0UL16c/v37s379eqysrLh48eJ39yUIP8rMzAyAly9fcvXqVTZs2MDEiRNZtWoVp0+f5tWrVyQkJODr68vOnTuVHK0gCIIg/DwiIyNp3749pqamNG7cOMOxQoUKoaamRkhICMeOHSMoKIgRI0ZkaCORSLCwsBAJb+GX5+XlBZBl4vfTY5+bof3ffnR1dalZs2amY02bNv1sP48ePWLOnDlMnz79s59L4eOs7dDQUGrWrJmphImWlhZ16tQhJCSEFy9eZOvavhRTfiNepQRB+GYqKipUqlRJsUxn/PjxNGvWDICxY8fi6upKp06dOHv2LOnp6coMVRC+mVwuZ+bMmYwaNQoTExMCAgJwcHDgyZMneHl50a1bN7S0tD57/vPnz+nXrx+tWrXi3r17uLi4fHcscXFxzJ8/H6lUSpUqVdDT0/uufpKTkylVqhSbNm1i8ODBtGzZkl27dpGcnPzdsQnCjyhRogTwcabIzp07CQkJydRGW1sbZ2dnrK2t8zo8QRAEQfgpvX37lrp16xISEsKlS5cUJQs+UVFRwdLSkpCQENasWUONGjWytfm0IPxM4uLiMnylpKRk2e7TJpNZlS8xNjbGzMzsqxtRJiQk8PbtW2xtbVFVVc10/FPf/+0nPT2d3r17U6ZMGSZPnvzFMb4U5+fG8Pf3R09PL8t9pD4XU36Uv4uvCIKQr82ePZu9e/cCH0snyOVyrl27Rr169bhz5w5JSUk8e/bsi3cdBSE/SUpKYuDAgYqZpdHR0QwcOJA1a9agoaGRrT5sbW0xNDSkTJky352k/t94bt26RdGiRTE2Nmbo0KGoqamhpqaGuro6EomE+Ph44uLiiI2NxdTUlHr16lGvXj3Fm5ENGzYwZswYihQpwunTp7G3t2fChAls2bKFTZs2ZZq9Iwh5oXz58owdO5azZ88q/o6UKFGCBg0aMG7cuO8u4yMIgiAIQtaCgoJo2LAhSUlJXLlyBQcHhyzbmZqaEhUVRXR0NO/fvyc4OJgiRYrkcbTCr0xXXxtVzbwvbyJN+Vj9+b/P91mzZjF79uxM7WNjYwEy3Tz6xMDAgDdv3nxxzOz08b/tPlmwYAG+vr7cunULdXX1HB8jNjaWQoUKfVNM+ZGY6S0IwnezsrKiX79+bN++nbS0NCQSCbVr12bAgAEcPXoUgAcPHig5SkHInqCgIGrVqqVIeKuqqrJ27Vo2bNiQ7YQ3gLq6Ok2bNuX48eM/HFPhwoVxd3fHzs6OgIAA/Pz8uHfvHjdu3ODChQucPXuWR48eERsbi76+PgEBAQwZMgQHBweqVatG586dGTp0KC4uLrx48YKwsDAA7O3tsbGx4f79+z8coyB8DzU1NZYvX87Dhw8JDw9n//79NG3alFOnTlGhQgXWrl2LTCZTdphCPiSXywkLC+Ps2bOsXLkSHx8fZYckCIKQ7718+ZI6deqQnp7+xYQ3fKzrbWFhwbFjxwBo1KgR4eHheRWqIChdcHAwsbGxiq8pU6YoO6QMfH19mTdvHuPHjxcrMb5CzPQWBOGH9OzZk5UrV3LmzBlatWoFwJw5c9i1axeamppUr15dyREKwtcdOXKE3377TfG9iYkJBw4coH79+t/VX6tWrejZsyehoaF4eXlhYWFB/fr1FRuDfI5MJmPevHm0aNGCKlWqADBgwAAGDBiQrXEvXrxIw4YNAbh9+zZPnjxh3759vHjxAh8fH1xdXQHw9PQkKCiIgQMHftf1CUJOKlSoEG5ubri5ubF48WImTZrE8OHDOXPmDPv27ftiOSHh55ecnMyWLVvw9PQkJCSEt2/fEhcXpzju5ubG/v37lRhhZnK5nJs3b7Jt2zaCg4Np1KgRzZs3p1SpUnz48IH4+Hi0tLQwNzdXdqiCIPwCgoKCqFOnDnp6epw/f/6Ls7ZTU1MJDw+nSJEiFClShPPnz1O7dm0aN26Ml5cXJiYmeRi5ICiHgYFBtjay/DRz+nMznj9tzPmjffxvO4BevXphb2+f5ezznBrj04am2W2fX4mktyAIP6RChQo4OTnh6empSHoXLlyYCxcuYGxsTPHixZUboCB8RVRUVIaEd8OGDfnrr7+ws7P77j5btmyJpqYmXbt2VWzwsWbNGoYNG/bFxPeECRNYsWIF8fHxiqT3t1i7dq3i/ytVqsS+ffuwt7enbdu2yOVyxowZg5OTE2vWrKFBgwYZdvUWhPxAV1cXd3d3WrRoQYcOHejQoQOenp5oamoqOzQhG2JiYrh06RIBAQEEBARQsWLFbN+0A0hLS+PYsWOKFSyxsbGcPHmS8PBwHBwcePbsWYb21apVo0ePHjl9Gd9FKpXi5+fHqVOn2LZtG0+fPqVIkSKULl2a6dOnM378+AzttbW1CQ0NxcjISDkBC4Lwy5gzZw5SqZTLly9nWZ/3f4WHhyOXy7GwsMDb25uVK1eyadMmevbsybRp01i/fn0eRS0I+d//1rauXLlyhmMxMTFERkZSo0aNL/ahq6uLpaUlr169QiqVZqrrnVU9bl9fX4DPTgz5NPHw0KFD/Pbbb1+twZ3VGCVLlsTb21ux8uNr7fMrkfQWBOGHVahQIdML6I9s3icIecnExIRTp05hZWWFo6Mjamo//qfRxMSEbt26sW/fPtTV1ZHJZIwYMYIZM2ZQrlw5dHR0SElJITU1lTlz5tCoUSNWrFjBihUr0NPTU5Qh+VYHDhxQ1Pi2tLRUvGmaPXs21tbWnDhxgvXr12Ntbc2CBQt++DoFIbe0aNGCo0eP0rp1azp27Mj+/fu/qcyQkPdSUlKoU6cOjx49Qk9PD21tbfbv30/p0qUpU6YMZmZmnz03NjaW9evXs3btWt68eYOFhQWGhoYYGhrSqlUrJkyYwMmTJxk9ejQ6OjqsX7+eNm3a5IuEsbe3N7NmzeLWrVvExcWhqalJ+/btWb16NQ0aNEBVVZWkpCS8vLwICwtDX18fqVRK586dOXfuHL///ruyL0EQhJ9YYGAgO3bsYNGiRV9NeMPHyUuampqcOXOG3bt3Ex0dzYULF9DR0SEhISEPIhaEgqNu3bosXLiQs2fP0rlz5wzHzp49q2iTnX727NnD9evXqVOnToZjZ86cydRPv379suznypUr+Pv706ZNG8zNzRUTEEuWLImVlRXXr18nISEBXV1dxTnJyclcuXIFKysrxUbzn8bz9vbm7Nmz9OzZ86sx5VcSuVwuV3YQP7NPyxliY2OztTxCEAqimTNnsnnzZkJDQ5UdiiDkGw8ePKB8+fIYGBhkWIoPH+t+p6WlYWRkxPnz5/H396dLly5MmTKFqKgotm/fzpgxY5gyZUqO/+2QyWSoqIgtPYSC4fTp07Rt25aWLVuyf//+LHe1F/KHyZMns2LFCq5fv06VKlW4fPkyTZo0IS0tDQBzc3PKlClD+fLlmTJlCpaWlopzR4wYwcaNG+nRowcjR46kfPnymfqXy+UsXLiQadOmMX78eJYuXZpn1/Y5b968oWLFilhbW9OxY0dq1KiBi4tLhg+Tn1OyZEmaNWvGmjVr8iBSQRB+RQEBAbRs2ZL379/j7++f7Q3Wa9asyY0bNyhZsiSnTp1ixIgRnDp1ikGDBrFhw4ZcjlpQJmXnrz6NbzfyAKqaX/9bmtOkKQkErHbL9vWnp6fj4OBASEgIN2/epEKFCgDEx8dTvXp1nj17xuPHjxUbtEdGRhIZGYmZmVmGyQCXLl2iQYMG1K5dm/Pnzysmely4cIHGjRtTu3ZtxerhL+nduzfbt2/H29s704reWbNmMXfuXCZOnMjixYszPT5z5kzmzJmjePz58+c4OTlhZ2fH7du3FaVMHj9+jKurK5aWljx9+jRHJozlpvwdnSAIBYK9vT1v374lMTERHZ2832VZEPIjZ2dnzp8/z7p16zhy5AgApqamvHv3jrS0NAwMDChZsiTdu3fH39+fnj17Mn/+fBISEnjz5g2LFi3i/v37nD59OkfjEglvoSBp1qwZW7dupXv37vj6+hbIzXpevHjB1atXKVWqFM7Ozujr6ys7pBy3bNkyFi9ezKJFixQrverVq0d8fDz+/v48efIEPz8/Dh48yJo1a1izZg0JCQmK9wy6uroUKVKELVu2fHaMiIgI/vnnHywtLZW6H0FQUBA+Pj48fvyY3bt3o6Wlxblz576pPrdcLiciIgIrK6tcjFQQhF+Zt7c3bdu2xdDQkCtXrmQ74Q3QuHFjnjx5wvHjx7G3t+fYsWNs3LiRqlWr5mLEglDwqKmpsXnzZpo2bUrt2rXp0qULBgYGeHp68urVK+bNm6dIeAO4u7szZ84cZs2alaEed/369enfvz+bN2+mYsWKtGzZkvDwcPbu3YuBgUGOlBWaOHEiR48eZcmSJdy/f5/KlSvj6+ur2ER+4sSJGdqXKlWK2bNnM336dJydnXFzcyMhIYHdu3eTlpbGpk2b8n3CG0TSWxCEHGBvbw/Aq1evcHJyUnI0gpB/NGzYkIYNGxIREcHOnTvx8PBALpdjZmaGlZUVhQsXpnDhwgwbNoyBAwfi4+PD1KlTOX36NJUqVWLGjBnKvgRBULpPy7HzQymLb3H16lWWLl3K8ePH+d+FlXPnzv1pfrflcjlz5sxhzpw5TJ8+PdMHJk1NTcqWLUtsbCzz5s3j4cOHwMeZSOrq6op29vb2vHr1in79+lGrVi1iY2OJjIykRIkSdO/enQcPHtCzZ0+io6Px8vJSWg3JlStXMnbsWODj5k3lypVj69atX014p6en8/TpU16/fo29vT1qamrExcUpZoQJgiDkpL1799KrVy9cXFw4fPgwpqam2T5XLpcTFBTEwoULFck6VVVVhg4dmlvhCkKBVr9+fa5du8asWbPYt28fqampODk58ccff9CtW7ds97Nx40acnZ3ZuHEjq1evRk9Pj9atWzN//vwMifPvpauri5eXF3PmzOHAgQN4eXlhYWHBmDFjmDVrVpar1KZNm0bx4sVZtWoV69evR0NDgxo1ajB37twCU85WlDfJZcpeHiIIeeHKlSvUrVuXx48f4+joqOxwBCFPnDp1imvXrvHmzRvevHlDWFgYycnJpKWlKb5kMhl///03LVu2zLIPmUyGj48P586d4+zZs1y8eJFSpUoxb948OnToIGZlCwKwc+dOevTokWFmcH6XnJyMjo4ODg4OjB8/Hjc3N5o2bcqtW7cYOnQokZGR1K5dm5YtW2Jra6vscL/bnj176NKlCwsXLmTy5MmfbVe8eHECAwMxMzNj2bJltGzZMsOy3rS0NNzd3VmyZEmmPQ10dXVJSEjA0tKSixcvUrp06Vy7ni9Zv349Q4cOZezYsYwZMwZra+svbkwMH58HzZo14+bNm6SkpCgel0gkyOVyQkJCxGxvQRByjFwuZ9GiRUydOpVu3bqxZcuWb94I+saNG9SsWRP4WPZg1qxZX32tE34eys5fFbTyJkL+J2Z6C4LwwwICAgAK9Ad3QfhW48aNw9/fH1dXV4oUKUK5cuVIS0tj9+7dxMTEoKKiQqdOnTLdBQ8MDOTcuXOcO3eOCxcuEBUVha6uLnXr1mXr1q306NGjQCwVE4S8EhYWhoGBQYFJeMPHGc5aWloMGjRIsdlQw4YN8fX1ZePGjdjZ2XHo0CFWrFih+BtaUMhkMsaPH4+uri779+/H0NDwiwlv+Jgc37VrFxcvXqR3796YmpoSGRmpOP7gwQMePnyYITmjoqJC2bJlefjwIdbW1pw5c0ZpCW8PDw+GDh3KyJEjWbZsWbYTQMHBwVy+fJmxY8fStm1bbG1tefnyJY8fP0Yul4uEtyAIOSY1NZXBgwezbds2Zs6cyezZs78rWb1t2zaKFi3KoEGDmDZtGm/evGH9+vUZVucIgiAUFOJTtSAIP+zly5dYW1ujra2t7FAEIdf5+/uzcuVKXr16pdgFOzo6mpUrV+Lu7k5iYiIDBw5kwoQJih2wo6Ki8PDwYMuWLTx58gQVFRVcXFwYMmQIjRs3plq1aooNSwRByOjt27eKEicFRXBwMMnJyRlKssyYMYObN2+SmprKxYsX2bRpE6NGjeLy5cvUrVtXecF+o8ePH7Ny5Uq0tLSoX78+mzZt+uo51apVo1q1asjlchwdHTE2NiYlJQVPT0/WrFmDt7c3xYoVo0OHDjg6OlKmTBlKly6NiYkJly9fpk+fPri4uGBra0ufPn0YPnw4WlpaeXC1H9/j9OnThwEDBrBq1aqvJpF8fX1Zvnw5ZmZmyGQyALp166aoR1+kSBHq1auX22ELgvALiYmJwc3NjatXr7Jjxw569OjxXf3IZDIOHDjAsGHDmDp1KkWKFKFv376EhoayY8eODCt0BEEQCgKR9BYE4YcFBASIWd7CT+3Dhw8cP36cXbt2cfz4cczNzZk2bRpDhgwBYOjQoRw9epQhQ4YwduxYrK2tgY/Jkjlz5rBv3z7kcjkdOnRg3rx51K9fH2NjY2VekiAUGGFhYVhaWiptfJlMhoeHB4cOHeLDhw/07t2bjh07fvVGr5qaGi9fvlR8r6Wlxfnz55HJZKiqqtKzZ09WrFhBvXr1uH37doGpjXjt2jXU1NSIior65tn3MpkMNTU1vL29MTAwIDU1lQYNGnDo0CFat26NqqpqpnPq1q2Lr68v/fr1w9PTkwkTJjBx4kQcHR3ZuXNnntXFzqrWZVYuXbrE33//jbq6OlpaWopNOgVBEHJDQEAALVu2JCIigvPnz1OnTp3v7uv58+e8f/+e+vXrA9CjRw8sLCzo0KEDRYoUoUePHgwbNgxnZ2ckEgn37t1j4sSJtGzZkjFjxuTUJQmCIOQYUSxUEIQfFhAQoNjMUhB+FmFhYWzfvh03NzfMzc3p0qULYWFhbNiwgcDAQKZPn67YGEgmk1GrVi2WL1+OtbU16enpLF26lHLlyuHl5cXcuXN58+YNu3bton379iLhLQjZJJfLCQgIUNpM79jYWNq2bUv//v2Ji4tDTU2N3r17Y2VlRY8ePdixYwdZbY9TtGhRpk6dyqJFi5g9ezbx8fHAx1rOnxK7enp6DB8+HPi4QWJB2Wbn+vXrVKxY8bvKzaiqqvLgwQOuXr3K7NmzefToERcuXOC3337LMuH9ib6+vmJzKA8PD1xcXPDz86NSpUoMGTJEMaM6N9jb2+Pu7s6qVauYNWvWV9s3adIEMzMzpFIpffv2JS4u7qsbXQqCIHyPW7duUa1aNdLT0/H29v6hhDfA7du3AahSpYriscaNGxMQEMCMGTM4ceIEFSpUwN7eniJFilClShUuXbrE3r17f2hcQRCE3CJmeguC8EPkcjkvX76kefPmyg5FEH6YXC5n1apV7NixAx8fHwBcXFyYO3cubm5un13RoKury6NHj7h69SpSqZTx48dz7949Ro0axR9//IGenl4eXoUg5L3Hjx+zcOFCIiIiKFWqFCVLlqRUqVKYmZkhl8sVX2pqatjZ2WFiYpKtfpcvX87NmzcZNWpULl9BRleuXMHd3Z3r16+TkJDAiRMnFH/nXr58yZYtWzh79iw7d+7E0NCQtm3bZupj6tSpJCYmsmjRItatW8eMGTMYOnRohuTuqFGjiI6O5o8//sDIyIjVq1fn65r+cXFxeHl58fvvv393HxKJhFq1alGrVq1vPldFRYVevXrRq1cv/P39ady4MRs2bMDT05NTp04pSojktGHDhpGYmMjEiRMxNjb+4oxGR0dHAgMDWbp0KbNnz6ZTp05Ur149V+ISBOHXdfr0aTp06ECFChU4cuRIjpQeuX37NqVLl8bQ0DDD42ZmZkydOpXx48dz4cIFjh07RlxcHFWqVCE9PZ0ZM2aQnp6er/9+CYLwa5LIC8q0kgJK2bvfCkJuu379OrVq1eLs2bM0btxY2eEIwg9ZuHAhU6dOpXPnzrRq1YrGjRtTqFChr563ePHiDBu5OTk5sWXLFqpWrZqb4QqC0j179ow5c+awZ88eihYtSqVKlfD398ff35+UlJTPnleoUCEcHR0xMjLi/fv3vH//Hrlcjrq6uuJLVVWVS5cuMXXqVObPn/9DccpkMp4+fYq3tzf//vsvenp6lChRAnt7e8WMtU8lOyZMmMC2bdtwdnambt26jBgxgpIlS2bZr5OTEy4uLnh4eHx27KCgIGbPno2Hhwfz589nypQpmdps3ryZwYMHY29vj5ubGx06dKBixYrftQlZbvH396dNmzaEhIRw6dIlKleurOyQgI83FxYvXgzAvn376NChQ66N1a5dO4KCgrh79+5X28pkMsqVK4eNjQ1nzpzJtZgEQfi5SKVSnjx5gpOTU5Z/A+Li4tiwYQPTpk2jWbNm7N2797s3eo6KimL37t28f/+euLg4du/eTYMGDdi+fXu2+7hy5Qp169blwYMHlCtX7rviEPIPZeevPo1vN/IAqprZKyuWk6QpCQSsdhP5u5+ISHrnMmW/aAhCbuvWrRu3b9/m2bNnqKiIiklCwfX333/Ts2dPZs+ena0l7P/1/v17wsLCiI6OpkqVKmJjSuGnFhUVxdixY9m5cyeWlpZMnz6dvn37Kp73UqmU4OBgYmJiUFFRQUVFBYlEQmpqKv7+/jx58oQnT54QHx+PsbExhoaGqKqqkpqaSlpamuK/jo6OzJgx47v/vuzatYsdO3Zw69Yt3r9/j4qKCmXKlCEpKYnAwECkUinwsf62ra0tUVFRyGQyFi9eTP/+/bMc18fHh+LFi2NkZMT06dNZv3494eHhX53hNn78eNatW8eTJ08oVqxYpuM3btxg06ZNHDlyhJiYGFxdXdmwYQMVK1b8rmvPSVKplPLly5OWlsaRI0coXbq0skPK4OXLl/Tv3x8vLy86d+5MjRo16NixI4ULF87RcRo3boyhoSEHDhzIVvt9+/bRqVMnRo8eTbt27ahRo4aYCSkIQpbkcjmnTp1i0qRJPHr0iJ49e7J+/XpFQjsgIIDVq1ezdetWkpKSGDx4MCtWrEBdXf27x2vcuDGXL1/G1NQUfX19DAwMWLRo0RcnMj18+JDLly/j4+ODr68vjx49Ijk5mePHj9OyZcvvikXIP5SdvxJJbyGniaR3LlP2i4Yg5KaIiAhsbGxYtGgRY8eOVXY4gvDdQkNDsbe3p3PnzmzdujVfza4UhPxo7969dO7cmdatW7Nv3z60tLSUHVImcrmcwoULY21tTYcOHahevTqurq7o6+sDkJaWRmBgIC9fvlR8yeVyJk2alGWyNCgoiHHjxnHgwAHGjh3L8uXLuXfvHpUrV2bq1KnMmzfvi68d8fHxlC5dmooVK3Lo0KHPJirS0tI4f/48EydOxM/Pjx49ejBw4ECqV6+utNem3bt307VrV27evJlvV7DIZDJWrFjB/v378fHxQUdHh2XLltG3b98c+7nVqFGDhIQErl27pngefS2msWPHsnv3biIiIjAyMqJVq1asWbMGIyOjHIlJEISC799//2XixIlcunSJunXr0qpVK2bNmkXRokVxdnYmOjqaCxcuYGxszODBgxk2bBhWVlY/NKaHhwd9+vThzJkzNGnSRPH4ixcvKF68eJY36E6dOqXYdNjJyYny5ctTvnx5KlasSJ06dcT755+AsvNXIukt5DSR9M5lyn7REITc9OTJExwdHTlw4ECuLicWhNz2qUzP48ePcXR0VHY4gpDvyeVyBg4cyNatW3n8+HG+m/kLEBISgo2NDYcPH86y5va3CA8Pp2bNmkRFRWFjY4ORkRFXr14FYNGiRUyZMkVx00xbW/uz/Rw9epQOHTpQuXJldu3ahZ2d3WfbpqWlsWbNGtzd3Xn16hWOjo4MGTKEPn36oKubtx8Eq1atioGBAefOncvTcb9XZGQk48aNY8eOHWzcuJGBAwfmSL8+Pj7UrVuXypUrc/LkyWzf7JHJZPz777+cOHGCFStWMHDgQJYvX54jMQmCULDNmjWLuXPn4uTkxOLFi2nRogUSiYRHjx4xZcoUkpKS0NLSonXr1vTo0eO7S5n8r+TkZKysrGjdunWGUiaf3g8XLVqUYcOG0b9/f8UeHHfv3qVu3bo0aNCAAwcOiBWNPyll569E0lvIaaIWgSAI361MmTJUrVqVjRs3KjsUQfghn2amhIWFsXfvXqKjo5UckSDkbxKJhFGjRiGTyYiJiVF2OFmKjIwEwMLC4of7WrFiBREREfj6+tKzZ0/u37+vKI0yefJk9u/fz5EjR6hWrRqPHz/+bD9t2rTh2rVrREREUKFCBXbt2vXZturq6owdO5YXL15w7tw5nJycGD16NMWLF+f+/fs/fE3fokyZMvj6+hIbG5sj/SUmJhIXF0dMTAzv3r0jLCyMt2/fIpPJcqR/MzMztm/fTqtWrdiyZUuO9AlQoUIFTpw4wc2bN+nSpQvp6enZOk9FRQVXV1dmzZqFnZ2d4jkSERHB4cOHv1j/XhCEn09aWhoTJ06kVKlSLFiwgPHjx+Pr60vLli0V70nLli3LsWPHOH/+PMePH2fQoEE5kvCGjzeuY2JiqFevXobHZ8+eTZkyZWjQoAEzZsygSJEiDBkyhHPnztGyZUucnJzYvXu3SHgLglBgiKS3IAg/5NMboeDgYGWHIgjfzdXVlQoVKjB48GA6d+6Mqakpb9++VXZYgpCvfbo59GkWWH7zKTkQERHxw31pamqioqJC4cKFSUpKQiaTkZaWpjju5uaGt7c36enpVKlShbVr1/K5xZRVq1bFx8eH1q1b061bNxwcHHB0dKR8+fIcO3YsU3sVFRUaNWrEvn37ePHiBcWKFaN58+Zs27bth68ru+bPn09CQgJ//vnnd53//PlzNm3aRI8ePShWrBi6uroYGhpiYmJCoUKFsLS0xMrKCgcHB5YuXcq7d+9yJO7u3btz+/ZtXr16lSP9AdSqVYsDBw5w/PhxBgwY8E2J+kuXLvHgwQNKly5N3bp1sbS0pF27dqxYsSLH4hMEIX9LTEykadOmrFy5kjp16tCrVy9mzpyJqqpqnsWgra2NtbU1L1++VDx248YNzp8/z9y5c9m2bRtBQUFMmjSJw4cP06RJE/T09Dh27FierzQSBEH4EaK8SS5T9vIQQchtvr6+VKhQgdu3b+Pi4qLscAThm0VERPDgwQN8fHyYMGGC4vFnz55RqlQpJUYmCPnb1atXqVOnTr4sC3ThwgV69epFQkICd+7coUSJEj/Un5+fH05OTixdupSVK1fSqlWrLFc5JSUlMXHiRNzd3alfvz6rVq3C2dk5yz7lcjn79+/nxo0bqKiosHLlSkUfXyqbERYWRrdu3bh48SKXLl3KNFMvt/Ts2ZPLly/j7u5Os2bNsrV52t27d5k8eTLnz59HRUWFSpUqUadOHSpUqICmpiaqqqqoqqqipqZGWloaBw8e5MCBA8jlcjp06MCgQYO+u06sXC5n/vz5zJ07l7CwsBy/ObNr1y66d+/OoEGDWLt2bbY2W3327JmiFFC5cuUYNWoUV69e5fjx4/j7+2NsbJyjMQqCkP907dqVI0eOcOrUKerUqaO0OOrVq0dkZCSNGjVCKpXi5eUFfPxs97+vZ6mpqRw7dgwXFxeKFi2qpGiFvKLs/JUobyLkNJH0zmXKftEQhNzm7+9PqVKl8vSDtyB8j/fv33PmzBmCg4N5+/YtISEh+Pj48OzZswzttLW1GTduHHPnzhUb8gjCF0RGRmJtbc3UqVOZNWuWssMhKiqKx48fc/DgQVavXk2DBg3Yvn07NjY2OdJ/ly5d2LNnDwAPHjygXLlyn2175swZRo4cyYsXL+jTpw+urq4UKlSImjVrYm5unql9dHQ0pqamwMcSKIMHD6ZJkyafnfn3559/Mn78eEJDQ7PsLzc8fPiQHj164Ovri5qaGoMHD6ZWrVoYGxtjYmKi+DIwMOD169dMnz6d3bt3U7p0aebMmUPz5s2ztfljVFQU27dvZ+PGjTx//hwHBwfatm1L48aNqVWr1lfraKekpLBnzx5WrVqFj48Pffr0YevWrTn1Y8hg27Zt9OvXj6FDh+Lu7p6tcxo1asSFCxdYtWoVo0aN4s2bNzg7O1OoUCGOHj0qbrYKwk/OzMyMIUOG8Mcffyg1jk97RiQkJJCWlkZqaip6enqsXr2adu3aKTU2QXmUnb8SSW8hp2XeklcQBOEbfEoKpqamKjkSQcja/v376dixY5bHunbtyqxZs6hSpQoARkZGeZZAEoSCzszMjIEDB7J+/XqlJb1v377N5MmTefz4saKMiZaWFsuXL2f06NHZmn37NUePHiU0NBRLS0v09fX58OEDoaGhX0x6N23alIcPH7J27VpWrFjBtm3bkMlkWFtbc/bs2Uwz401MTIiNjWXXrl1s2LCBFi1aYGtry6BBgxgwYECmWcp+fn6UK1fuh16vEhISuHv3Lg8ePMDa2poyZcpgaGiIsbFxhsTy27dvmTdvniLBrqOjQ2JiIu7u7lkmej/9zC0sLNi8eTO9evVCTS37HzlMTU0ZO3YsY8aMwcvLi23btrF9+3aWLFmClpYWtWvXpnLlyoSGhhIQEEBAQACxsbGKEinPnz8nLCyM5s2bs3TpUho2bPjdP6Ov6dOnD+np6QwcOJBq1arRvXv3r54zbtw4Lly4oKiJa2Njw61bt2jTpg1Vq1bl+PHj1KxZM9diFgQho7S0NE6ePEnhwoWpVq1aro9nYGCg2BNCmYYPH86FCxc4cuQINjY2VKpUidevX7N48WKR9BYE4achZnrnMmXfKROE3LZjxw569epFRESESBYK+YpUKmXw4MFs3rz5s20uXLhAgwYN8jAqQfi5rF69mgkTJihtI76uXbty+fJlBg4ciKOjI46OjpQsWTJHN9kqVaoU/v7+mJqa0qpVKyIiIrh+/Tre3t7ZLusilUoJDAzkt99+4/Xr17Ru3ZrWrVvTsWPHTIl5uVzOrVu3WL9+PXv37kVXV5fFixfTt29fRdumTZuio6PDoUOHvulapFIp48eP5+LFizx69AiZTIaqqmqGBIyhoSFhYWFoaWlx+PBhBgwYgIqKClWqVEFPTw89PT127NhBeno6d+/exdTUlOjoaMVXTEwMampqdO7cOUc3XXv48CHnzp3j3LlzPH78mCJFimBnZ4etrS1GRkaEh4cTEhKCiYkJQ4cOpUyZMjkydnb07NmTw4cPc+bMGcqWLfvVGe0aGhqkpaVRunRpGjZsSEJCAgcPHiQ+Pp6lS5cyfvz4PIpcEH5dYWFhrFu3js2bN/P27Vs0NTU5fPgwzZo1y5Xx7t+/z+TJkzl79iwzZsxg7ty5uTJOdu3cuZMePXpw8OBB2rdvD4CnpycdOnT46mom4eel7PyVmOkt5DSR9M5lyn7REITc1rNnTx4+fMj9+/eVHYogZDBjxgzmzZsHgKqqKubm5lStWlXxVaVKFfG6LAg/qGPHjvj7++f53wC5XM706dNZsGABK1euZPTo0bk21owZM1i1ahWBgYGYmJgQHx9PjRo10NDQ4O7du9/UV0xMDMuXL+fUqVPcu3ePRYsWMWnSpAxt0tPT6devH6mpqVhaWrJ3715CQ0OpVq0a//zzD3Z2drRr146EhATOnj371TGfPn1K7969mTFjBg0bNsTZ2Rl/f3+6devGxIkTcXR05N27dzx//hxPT09Wr17NX3/9xdmzZzlw4AAAzs7OGBgYkJKSQmpqKs+fP6d3796sW7fum67/ZxUXF0elSpUUm8ItW7aMcePGZdk2IiKCwoULM3z4cFJTU7l48SISiYRu3brRvXt37O3t8zJ0QfjlSKVS1q5dy/Tp04GPG9727duXuXPncubMGa5evYqrq2uOjnny5Em6dOlCkSJFmDRpEp06dcrRm7Pfo1y5ctjZ2XHkyBHFY2lpadjY2NC5c+fv3rhYKNiUnb8SSW8hp/34mk9BEH5pMTExREZGEhgYqOxQBCGD5s2bAx+Xkqenp/P27VsOHz7MlClTaNCggXgjIwg/KCEhgWPHjtGlS5c8H3vMmDEsWLCApUuX5mrCG6B169Z8+PCB169fA6Cvr0+jRo1ISEj45r6MjY2ZN28ed+/eZeLEicyYMYM+ffrw+PFjRZtVq1bx999/ExQUxKZNmwgNDUVbW5ubN28yceJEAFxcXLh8+TLz58//6iz7efPmcevWLdq2bcu+ffv466+/sLGxYc+ePbx58wY1NTUsLS2pW7cuq1atonnz5gwcOFCR8C5ZsiRlypTBzs6O8uXLU6tWLcaNG8eCBQu++fp/VgYGBpiZmSm+Hz9+PG/fvs2y7aVLl4CPCadx48bh7+/P8+fPmTVrlkh4C0Iuu3PnDq6urowePZpu3boRGBjIunXrKFSoEIGBgWhpaX02GZ2env5NY/n5+TFt2jRq1apFq1atqFOnDt7e3vTo0UPpCW/4WEpKW1s7w2Pq6ur07t2bv//+m+TkZCVFJgiCkHNETW9BEH7IunXrqFu3Lg0aNODmzZuixImQb3z6QNGqVSslRyIIPydfX1+Sk5Np1KhRno77/PlzVq9ezZIlS/KkDISenh5AhgRASEgI1tbWP9Tv3Llz0dTUZPv27Vy7do2HDx8SHh7OjBkz6Nu3L5s3b0Ymk3H27Fm6dOlCUlISRYsWBWD06NG8f/+e6dOnc/v27Qwz9f7LxcWFf/75h7p169KrVy/F41mV4ZBIJGzbto1atWrx4sULmjZtyr59+8RNwq8IDg7m1q1bDB8+nDp16mBvb4+lpWWWbaVSKSoqKgwaNAg1NTWSk5M/u2GpIAg5Z+3atYwYMYLy5cvj7e1N1apVgY8bEzdp0gRtbW1u3LiBk5MT6enp+Pr6cvv2be7cucOdO3fw8/OjTp06LFq0iCpVqnzx93bOnDnMmzcPIyMj6tWrx5YtW+jVq1eO7DORUxwcHLh9+3amx7t06cKSJUu4desWdevWVUJkgiAIOSf/vOoKglAgFSlShIsXLxIYGMjBgweVHY7wC1u9ejUnT54EID4+nuHDh2NhYSE2BBOEXBAQEEDPnj2xsbHJdl3rnLJkyRIKFy7MiBEj8mS8TzPhkpKSFI+FhIRgY2PzQ/1qamoyd+5cTp8+rdg8LD09HRMTEzw8POjXrx/R0dE0a9aMmzdvMnDgQKZOnQqAjo4OS5YsYcaMGRw9evSLSe+uXbuioaGBkZERN2/e5NatW7x8+ZKHDx9Su3btTO23bNnCixcvGDhwIMeOHRMJ72zw9vYGYNq0afz+++9UqlTps227du1KamoqNWrUoHbt2iLhLQh5YOvWrQwfPpyRI0dy584dRcIb4NSpU4SHh3P48GGcnJy4ceMG5cuXp0qVKowcORJfX19q1qzJsmXLCAsLo1q1ahgYGNC5c2dkMlmmsSIjI5k9ezZDhgzhzZs37N+/nz59+uSrhDd8THo/f/480zV8mjTyLRsQC4Ig5Ff565VXEIQCqXjx4pQsWTLD8mxByAu+vr78+++/AIwaNYqWLVvy22+/Ubt2bfz8/Dh+/Djq6upKjlIQfj7Tpk0jLS2Nq1evoqWllWfjymQy/v77b3r06JFn434aJzo6mp07d9K0aVMePHjwwzO9PylTpgyTJ09m/vz5fPjwgRcvXrBgwQK2bt2Kp6cn8DE5sXHjxgwlNABmzZpFiRIlWLJkyWeXopubm7N3716OHz/OwoULcXV1xc7O7rPxeHl5oaKigouLi0h6ZJOnpyelSpXCwsIiW+1jYmK4ceMGqqqqPH36NJejE4Rfz5YtW2jXrh2NGzemWrVq9O/fn8GDB7Ny5cpMr2ufXg+nT59O//79qVmzJvr6+nh5eREfH8/du3fZsGEDY8aM4cGDB1y4cIEqVaqwd+9ewsPDM4197do1ABwdHdHU1Mz9i/1O4eHhSCSSTGVbQkJCADKVPhEEQSiIRNJbEIQcUbZsWa5fv/7N9e4E4XvJZDIqVKiAi4sL8LEOLsCRI0fw9fXlxIkTVK5cWYkRCsLPy9/fnyZNmlC8ePE8HVdFRYVmzZrh4eHBu3fv8mRMMzMzypQpQ48ePejRowfJycmUK1eOJk2a5NgY06dPx9ramqFDh/L48WPFhohfmjEMHzfp9fDw4N69e/To0QOpVJplu/fv35OamkpERESWMxP/15EjR+jbty8DBgzgr7/++r4L+kWkp6czatQo9u3bx9ixY7N93qfa7g8fPqRMmTKMGjUqF6MUhF+HXC5nypQp9O/fn5iYGIyNjXFycmLJkiWsXbsWiUSSof3+/fvp2LEjAMePH+fEiROsXr2a69evU7du3Uw3V9XV1WnQoAFJSUnUrVs3yzJGJiYmAAwZMoTJkyfny89G4eHhuLu7M2rUqAz1xRMSEpg8eTKlS5fGyclJiREKgiDkDJH0FgQhRwwaNIgHDx4wcOBA5HK5ssMRfgE3b97M8H2/fv2oU6cOAFevXs1y2b4gCDkjrxLOWenTpw/v3r1j3bp1eTKeuro6t27dYsiQIaxfvx4vLy9u3LhBvXr1cmwMHx8fXr9+TdmyZWnatClHjx7Fzc2NChUqfPXcmjVrsnv3bjw9PRUbXf6Xs7MzpqamRERE4Ofn98X+tLW1qVKlCkCel64paC5dusTq1auZN28eAwYMyPZ5qqqqTJs2jcDAQOrWrcuDBw9yMUpB+HWcPn2aRYsWMWHCBLy8vNi3bx9btmxh/PjxWZYXSU9Px9jYmNWrV+Pn50doaCgjRoz4YtmhZ8+ecefOnc++PtepU4e0tDSWLFnCsmXLaNq0ab7bFHLRokWoq6tn2BcjNTWVDh068Pz5c/7+++98PUtdEAQhu0TSWxCEHNGoUSM8PDzYtm0bEydOFIlvIVfduXOH3bt3K7739/dHT0+PRo0aIZFIqFatmhKjE4Sf34ABA9i2bRudOnXi9OnTeTbujh07+P3336lVqxaDBg3Ks3H19fVZuXIlgwcPzjRT8EtSUlKy/HsolUoJDQ3l1q1bHDhwgD/++IOiRYuSmJiIXC7H19eX/fv3Z7u8yG+//cbKlStZsWIFO3bsyHS8UqVK3L59G21tbSpWrMj48eM/O/swLCyMSZMm0a9fP3Hz8Cs+/fu4ubl9V71eTU1NPnz4QIkSJXI6NEH4JdWuXRtHR0eOHTtGfHz8V9t36dKF6OhoRowYQZkyZb76+p6WloabmxvFixenc+fOn22npqbGhAkTOH/+PNevX2fChAnffC25JTg4mPXr1zNu3DiMjY2Bj6sne/XqxaVLlzh8+LDixqcgCEJBJwr1CYKQY7p37050dDSjRo0iISGBFStW5GmtV+HXMWPGDM6cOaP43sXFhWHDhrFkyRKGDBki6tAKQi6bOHEiKSkp7Nq1i6dPn9KsWbNcH1MmkzFlyhR+++03du3ale/r9d+6dYvq1aujqqqKmZkZZmZmaGtr8/btW96+fZuhFImqqipSqZSdO3eyadMmChUq9M3jjRgxgrNnz7Jx40Z69uyZ6fjLly/Zs2cPBw4cYPbs2TRs2JDmzZtnanf9+nViY2NRUVEhNTU1w9J3ISMnJyfU1dU5fvz4N5U3+UQul/PixQt+//33XIhOEH49enp6HDx4EFdXV6pVq0bDhg2pUqUK7dq1Q19fP0PbtLQ0IiMjsyxR8jn79+/n0aNHjB07FgcHB3bu3Em9evU+u7FxvXr1WLFiBcOGDaNRo0a0bdv2h67vR504cYL+/ftjbGycoazS5cuX2bNnD7t376Zhw4ZKjFAQPjLQ10RVK+9XG0iTP04IcHFxQVVVlWHDhjFs2LA8j0PIOWKmtyAIOWrkyJFs2LCB9evX07t3b2WHI/ykTp48ibu7u+L71NRUFixYQLVq1RS1vQVByD0aGhr88ccfDB8+HH9//6/Wif5RiYmJeHh4EBoayujRo/N9whvg8OHDGBsbs2rVKoYMGUL9+vVxdnamd+/euLu7c+zYMU6fPo2KiopiU8zevXvTt2/f7xpPIpHQunVrbt26RVxcXIZjiYmJtGzZkrJly+Lh4QHw2VmQ7du3Z82aNXh4eFC7dm3CwsK+K55fQaFChejUqRPu7u68f//+m89PT08nPj4ePT29nA9OEH5RpUuX5sSJE5QvX54zZ87Qq1evDO8Z4WOJvIoVK2JlZUWjRo04fvx4tv6ONW3alI4dO7JixQpMTEzo0aMHRYsWZcCAAZ89f8iQIbRr144+ffoQHBycI9f4reLi4hgwYACtWrWiYsWK3L17FwMDA8XxpKQkAEWZQEH41d25cwc/Pz+R8P4JiKS3IAg5btCgQXTq1Ilbt259dlMtQfgRKioqipnd8H9v1v/+++8CkQwThJ+Frq4uKSkppKam5kr/8fHxtGvXDmNjY/r160fVqlWpXr16royVHTKZjEuXLuHu7s758+eJiIj4bNt3794RHR2Nu7u7onbq5s2b+eOPPxg8eDCtWrXizp07aGtrc//+fWQyGdu2bfuuMhmfNGvWDJlMlqH8k0wm4+zZs5QqVQr4WOrE2dn5syU1JBIJw4cP5/r167x+/ZoRI0Z8dzy/gtGjRxMcHIyxsTGOjo7069ePx48fZ+tcdXV1XF1duXLlSi5HKQi/ltq1a7Nr1y6ePXuGk5MThw8f5uLFi8TGxjJixAhq1KiBtrY269atIy4ujtatW2Nubk6JEiWoX78+iYmJWfZramrK3r172bBhA3Xq1GHjxo0sX76czZs3M3/+/CzPkUgkbN68GT09PXr16pWbl01SUhJ3797N8NilS5dwdnZmz549/PXXX5w4cQIrK6sMbT6tkExLS8vV+ARBEPKaWP8tCEKuGDNmDNWqVWPDhg3iDqmQa/53dtz27dspXry48oIRhF+Qj48PdnZ2PHnyhFKlSpGYmMiyZcvQ1NTEyclJ8fUtdbA/SUlJoX379ty6dYslS5bQpEkTSpcu/V19fW2c/fv3c+zYMUUNbplMhqurK2PHjkVFRYWAgAD27NnD33//TWBgoKIciYqKCnfv3uX58+cEBgZmqNu6YcMG3Nzc+Pvvv/njjz+YNm0adevWpWHDhtSpU4fatWtjYmJCcnIySUlJmJiY/PC1FCtWjA4dOrB06VL69++Pqqoqz549o127dpiYmNCiRQv++usvTE1Nv9qXi4sLK1eupFu3bpw/f55GjRr9cHw/o8qVK/P8+XOuXLnCzZs3OX36NLt27WLFihVfrQEvk8moVKkSR44cycOIBeHXMmnSJObOnUvDhg1RU1NDQ0OD5cuXM3LkSFRVVRk8eDDe3t5cuHCBqKgo/vzzT86dO/fFUiSDBg3KsK9EXFwcs2bNomLFirRq1SpTexMTE1avXk27du24f/8+FStWzJVrHTFiBFu2bKF///4sXLiQefPm8eeff1K3bl28vLw++z750+vU5/Z6EARBKKgkcrHbXK6Ki4vD0NCQ2NjYDEuIBOFX0L9/fw4ePMjz588xNzdXdjjCT+jAgQOKWqhpaWmilrcg5LE6depw9epV4OOsVS0tLVRUVNDW1laUxZg1axazZ8/OdG54eDgBAQGoq6ujrq6OiooKUqlU8bV06VKOHTvGmTNnqFu37ldjSUtLIywsjJCQEEJCQggNDSUkJITIyEji4+P58OED8fHxxMfHk5KSQrVq1TAzM8PDw4N3795RrVo1TExMUFFRQSaTcf78eWQymSIJYGBgQKdOnejVqxdVq1bl9OnTtG7dGn19fUWpkOfPn1OyZMlMscXHx+Pp6cnevXvx9vbm/fv3uLi4UK5cObZv386bN2+wsLD43n+GDO7evUuVKlUYN24cs2fPRldXl3LlylGyZEkOHTr0TX3J5XLq1atHeHg4e/bsQSqVkp6ejrGxsWLm+P96+fIl0dHRaGlpoaWlhYWFRaY6uv9148YNjhw5Qs2aNalXrx4GBgZER0ejq6uLpmbe1/P8UUlJSYwbN47169dTqlQpSpQoQbFixShWrBhFihQhLCyMR48e8fjxYx4/fkxCQgLt2rXD09NT2aELwk9LLpfj7e2Nl5cXXbt2VSR/ZTIZd+7c4e7du9y7d4+7d+/i4+PD+PHjWbp0abb69vHxYefOnaxatQp9fX0iIyNRVVXN1C49PZ0iRYrg5ubGmjVrcvLygI/lGKpWrYqbmxsnTpwgNTUVNTU1Fi5cyMiRI7+4imjQoEEcPnyYwMBAsR/TL07Z+atP41eYdgxVLd08H1+anIDP/NYif/cTEUnvXKbsFw1BUKZ3797h4OBAu3bt2LJli7LDEX5Cn5bxd+/enStXrlC7dm1lhyQIv5SzZ8/y+vVrnJyc8PHxISQkhNGjR1OoUCGio6OZOXMm27dv5/Xr14rZxR8+fGDx4sUsW7aM5OTkz/atqqrKwYMHvzjb7s2bNxw+fJhDhw5x5cqVDLPUNDU1sbKywtzcHH19ffT19dHT00NfXx+JRIKXlxehoaH07NmTIUOGULp06Qx9BwQEcPz4cUxMTLCwsKBmzZpoa2srjgcFBVG1alUkEglv376lVatWeHp6frXEkkwm48KFC8ydO5dr167RoUMHDhw48MVzvtWcOXNYsGABhoaGjBs3jrt373Lw4EFevHiBra3tN/X18OFDKleunGnZe4cOHVi0aJGiTIq3tze1atXKUNdWX1+f5cuX079//yxnPG/dupXBgwejo6NDbGwsampqin/DLl26sGvXrm+99Hzj1KlTnDx5ksDAQMVXbGwsOjo6ODo64uTkRNmyZXFycqJevXoZnluCIOQ+mUxG165d2bt3L2pqapQrV45KlSpRuXJlOnTokO0Nhdu3b8/Ro0dxc3OjZcuWdO/e/bMrPLp160ZQUJDiZnFOkclk1KhRQ1HeJCAggNWrVzN8+PBMf9v+KzQ0FFtbW+bMmcPkyZNzNC6h4FF2/kokvYWcJpLeuUzZLxqCoGzr169n6NChXLt2jZo1ayo7HOEnJJVK0dbWZuXKlaKUjiDkM+/evcPOzo5q1arh6enJ+/fvqV+/Pm/evGHcuHF07twZqVRKWloaMpkMVVVVxZe5uTmWlpaf7XfUqFHs3r0bNTU1GjRoQKtWrbC3t8fa2hpra2tMTU1zvBRKVipUqICxsTFnzpxBQ0Mj2+fJ5XL+/fdfihcvniuroYKCgpgzZw4eHh7IZDLU1NQ4f/58tmbN/1dwcDDh4eGoqamhpqbG3bt3mT59OmFhYfTs2ZO0tDQuXryomDmfkpJCUlISO3fuZMuWLTRq1IguXboQFRWl+AoODubMmTMMHDgQd3d3goKCOHv2LEOHDgXg9u3buLi45PSPRani4+PR1dX9obrtgiD8OKlUyqRJk1ixYgXbt2+nY8eO372y5NOqQx8fH8qXL//Ftr179+bFixdcu3btu8b6HA8PD/r06cPly5e/eTNKd3d3Ro4cSVRUFMbGxjkal1DwKDt/JZLeQk4TSe9cpuwXDUFQNqlUSu3atfH398fLywsnJydlhyT8hEqXLk3z5s1ZuXKlskMRBOE/vLy8qF+/vuJ7fX197t2799mNFLOSmJjI06dPefLkCY8fP2bTpk3IZDIWLlxIx44dMTIyyoXIs8fBwYGyZcuyb9++LJe0K9un2fTq6uo5Gl9SUhJ//vknGzZswNLSEicnJ8aNG0eZMmUytPuU2A4KCsLQ0BBTU1NMTEwwNTWlXbt2DBw4MMPNienTp7Nw4UJOnz5N48aNcyxeQRAEmUzGoUOHmDlzJn5+fqxatYpRo0b9UJ9paWnY2trSvHlzNm3a9MW2ffv25enTp9y4ceO7x5NKpaSmpipWh8TGxlKqVCkaNmz4XatjvL29qVGjBpcuXaJevXrfHZfwc1B2/kokvYWcJqYZCIKQq1RVVTl+/DhWVlY0bNiQ58+fKzsk4SdUokQJXrx4oewwBEHIgrOzc4bv4+PjOX/+PNmZdxETE8OYMWMwMjKicuXKdO/enR07dtCiRQv8/PwYOHCgUhPeAEOHDuXw4cPMmDFDqXF8zqf62qqqqrx48YKiRYsyY8YMkpKSgI8beX7P5mXa2tpMnjyZ169f4+3tzebNmzMlvAGaNm1KQEAAqampvH//npcvX3L79m2WL1/O0aNHUVFR4dy5c4r2U6ZMQVtbm3/++ef7L1oQBOE/Xr9+jYuLC25ubtjY2HDr1q0fTnjDxxuKgwYN4p9//iElJeWLbdPT0zOUgPqSmJgYrl+/zrZt25g8eTLt27enbNmy6OrqoqurS6lSpejUqRNdunThw4cPLFmy5Lvif//+PQBRUVHfdb4gCEJ+Jnb8EgQh15mYmHDu3Dnq1atHw4YNuXLlyjfXFBWEz3n58iW3bt0SMwIFIZ9atmwZOjo6HD9+HA0NDXbu3MmQIUNYs2YNMpmM6OhoUlJSKF++PK6urlStWhVra2v+/fdfZs+eTWpqKjNmzKBJkyaULl0aQ0NDZV9SBqNGjeKvv/4iLi5O2aF81Z9//klwcDDz5s1j3rx5ihraEokEAwMDPnz4QJ8+fVixYsVXN6D8FlKplCtXrjBnzhyeP3+OVCrNkGBxcHBQ/P+uXbtISkoStWUFQcgxqampdOrUiaioqO8qAfI16enp6OjofHFPh8ePH7Nv3z5Gjx791f727t1Lz549SU1NRSKRULRoUUqVKkX9+vUZNGgQurq6+Pr6cv/+fR4+fMi8efOwsbH55rg/7WvRokUL2rVr983nC4Ig5Hci6S0IQp4oVKgQ58+fp3bt2gwcODDDrC5B+F7R0dG0bNkSExMT3N3dlR2OIAj/ERgYyJ9//snIkSMVJU5q1qxJ69atOXDgAEZGRpiamqKiosK9e/fYt28fy5YtA0AikdCvXz/++OMPLCwslHkZXySVSnnx4gWDBw9WdihfVahQIUxNTRUJ508zvO3t7RWrZTZv3szz58+5fPlyjoy5fPlyxo8fr/h+3rx5+Pj4cODAATp16sTOnTtRU/u/jySfSp3Y2dnlyPiCIAjTp0/n3r17XL9+HVdX1xzv/1Mi/b/1+h8+fMiFCxe4ffs2Fy5cwM7OjtmzZ3+xr40bNzJkyBC6du3KpEmTKFGiRI5udCuXy7l9+zY7duxgz549aGlpsX37drHXgCAIPyWR9BYEIc9YWVkxZMgQZs2aRVpa2hdnQwjC58TFxXH+/HlOnTrF8ePHSUtL4+bNm5iYmCg7NEEQ/odcLmfQoEGYmJgwZcqUDMdatGhBixYtsjwvPDycyMhIDAwMKFKkSF6E+t1kMhlLliwhNTW1QOxZMWPGDGbMmEFkZCRPnjyhd+/eBAQEEB0dja2tLVKplJIlS7J06dIcG/PTLO4KFSowatQojh49yrFjxwBo3759hoQ3QNGiRZHJZLx580YkvgVByBGenp6oq6tz/PhxSpUqleNlsQIDA6lSpYri+4cPHzJz5kwOHz6MpqYmlSpVokuXLowYMQItLa0s+wgLC2PevHmsXbuW4cOH8+eff2aZiE5NTSUoKIiQkBAqV66Mnp5epjZPnjzBx8eHpKQkEhMTSUpKIikpibi4OI4fP86zZ8+wtrZmwIABDB48GDMzs5z7YQiCIOQjIuktCEKeaty4MRMnTqRcuXI4OTlhbW2Ng4MD/fv3/+5d04Vfx759++jduzdJSUmULl2arl270q9fv2/aEE8QhLyxc+dOzpw5w/Hjx79pM6DChQtTuHDhXIwsZyQkJNClSxeOHTvG5MmTC9QGYGZmZtSuXVsxu/t/N5LMaS1btmTMmDFs3bqVPn364OzszKpVq+jWrVuWiacrV66gqqqaLzcFFQShYPL29mbJkiUsW7aMNWvWMGvWrGyVGcmu8uXLs3v3bu7fv8/bt295+vQptra27Nixg06dOqGhofHZc6OioliyZAlr1qxBQ0OD5cuXM2bMGCQSCe/fv2fXrl3cvHmTu3fv8vbtW2JiYhTnLlq0iEmTJmXob/PmzQwdOpS0tDQANDQ00NbWRktLCx0dHWrUqMGaNWto0KCBeJ0VBOGnJ5FnZxch4bspe/dbQciPPm14FRwcTEhICM+fP6d8+fK0adMGJycn2rdvn6sfwIWCRy6Xs3r1asaMGUOXLl2YN2+eqAsvCPnY9evXadOmDU2bNmXXrl3KDidXXLx4kYYNG7JhwwYGDRqk7HDyPalUSkhICEWKFPns3/ibN29Sq1Ytpk+f/tUSAIIgCN/q7du3TJ8+na1bt+Ln55fl5rvf48iRI6xatYrChQtjYWFBhQoV6Nat21dXtQYFBVG1alU+fPjA6NGjGTt2LEZGRnh7e7Nx40Z2795Neno6NjY2BAcHAx9vUrq4uBAeHo6bm5uiJFhqaiqjRo1S/E1asmQJurq6IrEtfBNl568+jV9h2jFUtXTzfHxpcgI+81uL/N1PRCS9c5myXzQEoSD4999/GTlyJC9fviQiIoLVq1fTq1cv8Tsj4Ovry9ChQ/H19SUhIYGJEyeycOFCUXdQEPKp58+fM3XqVA4ePEjlypU5deoU5ubmyg4rV6SkpGBhYUH58uWpUaMGI0aMwNLSUtlhFVhSqRQnJyeMjIy4du1aprIngiAIOSElJQUbGxu6d+/OypUrlRbHhw8fqFWrFr6+vgDo6emRlpZGeno6UqkUXV1dEhISFO3HjRvHhAkT2L17N2PGjKFUqVIUKlSIQ4cOkZ6ejpubG7dv32bt2rUMGDBAWZclFHDKzl+JpLeQ00TWQBAEpatSpQo3btwgLCyMxo0bM3LkSKysrBQ1P4Vf0z///IOrqysJCQnMnTuXCxcusHjxYpHwFoR8yNvbm/bt21O6dGlu3brFjh07uH379k+b8AbQ1NRk2rRpvH//Hnd3d4YOHarskAq0T3Vm//zzT5HwFgQh12hqatKnTx+2b99OcnJyno4tl8u5e/cuU6dOpXz58rx8+RJPT08cHBz48OEDzs7OrFmzhr59+5KYmMiuXbsICwtjxowZxMbGEhERwb1791BTU6Nfv348fPiQEiVKUKlSJQICArh8+bJIeAuCIPwPMdM7lyn7TpkgFDRyuZyXL18yadIkDh8+zLp168Sy8V9QREQETk5O1KtXj507d4p674KQT0VFReHm5oaXlxcODg6MGzeOHj16fHajrp/V33//Tc+ePenduzfdu3endu3aX6zhKmRWu3ZtpFIpN27cUHYogiD85Pz9/XFwcGDx4sVMmDAhz8bt06cPHh4emJiY8NtvvzF06FAqV65MQkICo0aNYsuWLXTq1Inbt29TpkwZjh07Rs2aNRUbtr9//x65XM6uXbvo3Lkz7969Y9asWbx+/ZrNmzdjZWWVZ9ci/JyUnb8SM72FnCamUQiCkK9IJBJKlCjBvn37GD16NIMHD6Zs2bLUrFlT2aEJeSA9PZ0NGzYwY8YMJBIJixcvFglvQcin4uLiaNasGa9fv+bIkSO0atXql12J0a1bN8LDw1m7di0eHh7o6+vTuHFjmjVrRmxsLPHx8VSsWJHKlStjY2OTa/tWhIaGcvfuXYKDg7G1tcXBwYFixYrl+5qux44d49q1axw8eFDZoQiC8AsoWbIko0ePZubMmbRp0wYHB4c8Gbd06dIAXLhwgQoVKige19XVZfPmzZibm7No0SL09PSwsrJi4cKF3Lx5kxMnTlC3bl2mTp1KlSpV6Ny5MwDm5uasW7cuT2IXBEEoiMRM71ym7DtlglCQyeVyihUrRps2bXB3d1d2OEIuu379OkOGDOHRo0f079+f+fPn/9SlEQShIEtNTaVx48Y8ePCAS5cuZfjw/iuTy+X4+vpy4sQJTpw4wc2bN9HW1kZXV5d3794BYG9vT8eOHenUqRPOzs45kgB/8uQJAwYM4Pr16wCoqKggk8mAj0v5S5QowYwZM+jUqdMPj5UbGjduTFJSElevXhUbWQuCkCcSExMpX748hQoV4sqVK3lyczAlJYVy5cphZGTE1q1bKVu2bIbjTZs2JT4+niFDhjB//nyePXtGjRo1FK/tgpDblJ2/EjO9hZz2a07HEQShQJBIJHTq1Indu3dn2MhF+PmsX7+eunXroqOjw+3bt/nrr79EwlsQ8rFLly5x5coVPD09RcL7f0gkEipUqMC0adO4ceMGsbGxxMXFER4ezps3bzh06BD16tVjw4YNVKhQgTJlyrBkyRK+dw6KXC5n8eLFVKhQgYiICPbs2UNgYCBpaWm8fv2aM2fOsHTpUooUKUKvXr3Ys2cPfn5+OXzVP+ZTsrtDhw4i4S0IQp7R0dFh27ZteHt7M3Xq1DwZU1NTk61bt/L27VvKlStHhw4dFK//r1+/5ty5cwwYMIAePXrg5+fHhQsX+Oeff/IkNkEQhJ+RmOmdy5R9p0wQCrrXr19jb2/P6tWrGTZsmLLDEXLBtGnTWLBgASNHjmT58uViAzNBKAAmTJjAzp07CQ0NFYnK75CWlqZIZuzcuZMjR47Qpk2bb+5n7969dO7cmQkTJjBnzhy0tbWzbJecnEzdunW5ffs2AI0aNaJs2bIULVqUkiVL0rx5c6WVQDl+/DitW7fm4cOHmWY9CoIg5LZVq1YxZswY3N3d8+yzRlpaGt26dePChQtERkYikUiYOXMmq1at4u3bt+jq5v0MV0EA5eevxExvIaeJpHcuU/aLxq9kx7/Byg4hR7xLSFN2CPnOzjkjCX72kEl/n0flPx/Kdy8YR1RoEA26DsG8qC36xmZo6ep/tc93Cek5GmNkfGqO9memn70N0Mx1czZBnNc/lxdXj3F57VTq9RlPVbec220+p38uOc1cV13ZIQgFiLL+LjwJS8zy8fTUFPaOaEJx18bU7DedmISUbPUXHZ+9dr8SuVyO77qRpH14T5UJHkhUsp94lknT8Z7VFkP7CpTtMz9b7VPjInnvf4/wu+dIjgkjJSYcWVoKVrXaU7hKU5DJkMukyOUytM2LoGVU6JuuR5qSRGp8NOp6Rqhl48OqXCbl36V9UNHQpNLov3L1Bkq8kp5/+vq/1r4UISFx2Wr3IS7r15f/0jPQyVY7a+v8/TnLJJvPg5IWX38PCzn/Pmf31cBstQt9E5Oj4ybGZ+95kF06+tl7vvxX3I1tJDw8gUmLaWgWqah43MrGOFvnf8/v+d2VA9AytsCp9x/IpOncnOuGqVMNHDpO/Oa+via7zz9lMdbNXnybO4kbo7lN2fkrkfQWclr+zgr8f+/fv2fmzJncuXOHV69eERMTg5mZGQ4ODgwbNoz27dtnepMcFxfH7NmzOXjwIGFhYVhYWNChQwdmz56d6cnr4eFBnz59AFi6dCnjx4/PFMPs2bOZM2cOu3fvVmwcIQhC3qjXeQCrBv3GnVMHqNrq/+qRRoeFcO/cEYwKW7N16seEqba+IQ27D6VWux6oaeTvN3i/uriwIK5tmkuJOm1w7dBf2eEIgpBNATdOkhwbjVPzbsoOpcCTSCTYthzE/VWDeHnEHbPy9dC3cUBVQytb58tlUnQLF89WWxVVNbSMLbBwbYGFa4uP58vlvPHaw8sj7oRe88x0jo5FcUwcXDEpXQ2jkhVRUct8QzYxIojn+5cRH+SHNCVJ8biWqRWFKjWmSL3OqKipo6qZeRZ65KNrJLx9SfEWA8SKAUEQlEa/ei+SA++QHHQvQ9I7t6QnfSA+6CmFKjZELpMRfPEfUmPfYVX921f8CIIgCJ9XIJLekZGRbN26lWrVqvHbb79hYmJCREQEx44dw83NjQEDBvDXX38p2ickJFC3bl18fHxo3LgxXbp0wdfXl5UrV3Lp0iWuXbv22SVDCxcupH///hgZGeXR1QmC8DU2DuWo1Pg3Tm5ehnO9FmjrfZwFk5qUgFwup/3o2egYGJOS+IGHV89ycuMS7p49xJi/jmaaGS7kH0H3roBcRs1+00WyQxAKkKcXDmBTsTZGVrbKDuWnYFi8LDZ1OxHqfYQ3l/eBiioGxZwwdaqBqVNNdC1ss3yNVFFVw6RMdSIfXcO2xfetlJFIJBSp3wXTsrWQpachkaggUVEBiYQPb54T/ew273y9eHN5Hyoa2piUdsHUqRZmZWuTEhtB6LVDhN05haahOcWb9UPDwBR1PSNSY6N4/9KHoHPbCbl6AFl6GsYlKmFc2hUt48Ko6xry/sV9gr32oF/MkSL1xIQSQRCURyJRARW1b1pt80Pjqaqha2nHq5Obibh3nvigJ9jU7YiejUOejC8IgvCrKBBJb1tbW96/f5+pzmt8fDzVqlVj06ZNjBo1CicnJwCWLFmCj48PEydOZPHixYr2s2bNYu7cuSxZsoQ5c+ZkGsfe3p6XL1+yaNEiFi1alLsXJQjCN2k5cAKPrp7l3I41tBn6cbOZwsVLYl7EjkdXz/L7hIUAlKpSC0u70niunIE0PU0kvfOxdy8eYFq8DGpZzP4TBCH/UlFVQ13z+5aQC1kr0W4kdm2GkvA2gLjAx8Q8vU3g2e28Or4BTWMLTJ1qYFXjN/Ss7BXnyNLTSE+IIzkqFLlM9jFZ/Z10zItk+Vihig2Ry+UkhL0i6tE1ovxu8GzPQp5JFoNMioaBKUUadKVog26ZZnIXdmlGwtuXJEeHUaxJb6Kf3iLg2Drk0o9ltCRqGljVaEvxZn2zPbNdEAQhp6VFB5HgexRp7FskannzWqSqoUWlURt4tm8JH0KeU2G4O0Ylcn+GuSAIwq+mQCS9P7exjr6+Pk2bNsXPz48XL17g5OSEXC5n8+bN6OnpMXPmzAztp0yZwpo1a9iyZQuzZ8/ONGumd+/ebN++ndWrVzNixAisra1z7ZoEQfg2huYWNOg2mHPb11C9TRfMbT7OfCviUI6IoIAMbQsX+5gUePXwLqWq1FRGuAVeSuIHEmIiSYyNQlNHD4NC1mjq6CGXyUiMiyH+3VuSP8RhXaYi6lrfl7ROeh+JtpFpDkcuCEJuM7NzIuiul7LD+OmoqKqhb1MKfZtSWNdshzQthdgXPkT5XefdgyuEXvPExLEGRRt1R13XCP8Dy4l99RCnPvN+KOH9NRKJBD1LO/Qs7SjWuCcpcVFEPbyKup4hpmVro6Ka9ccJiUSC86AVyNJS0DQyp2iDrshlUtIS40lPjENNRx8NvezVy83P5HK5WK0kCAVYzJlFyFIS0Hftho5T0zwbV1VTG8ces/JsPEEQhF9RgUh6f05ycjIXL15EIpHg6OgIgL+/P6GhoTRt2jRTCRMtLS3q1KnDkSNHePHiBSVLlsxwXE1Njfnz59OpUydmzZrF5s2b8+xaBEH4urod+3Hz+B5ObFhM73kbADCxKsKL+94ZPnTalXfFuqQTXnv+Eknvb/Ti9iWu7lhFxKunmY5p6hqQnpKEND3tfx7Tx6l+G2p1G4G2wf8lL5Li35MQE4ncqMhnkwGFSlXg2cWDiP2UBaFgMbNz5PHJv0n5EIumnqGyw/lpqaprYlKmKiZlqmL/20gi7p0n6MJOfFYPBUDT2ALngcswLlU5T+PSNDDFquZv2WqrrptxHx2JiioaekZo6BnlfGBKkBDyjBc7JqNXrCxWDfsC8CH4MabOjVARs9cFoUDQKuZC4nMvtEvVQ0VdrD4UBEH4mRSopPf79+9ZtWoVMpmMiIgITp48SXBwMLNmzVIksP39/QEyJbQ/+d92WbX5/fffWbp0KR4eHowbN44yZcp8U4wpKSmkpPzf7vBxcdnbwVwQhK9T19Si5cCJ/PPHaJ7/e51SVWpiW64K53e4c3nvZup1/ljTVCKRUK/zAP75YzQv7ntTomJ1JUee96Tp6cRHRxAbGYGZdTF0DbM3m+7xxSNEvHpKk2GzMbG2RcfIlNTED8SGhxAXEYq6tg4GZhbom1mgqq7Bk8snuH9qD0EP79Bp3lbSkhO5c9iDh+c9SU9JxtS2DA1GLcPAomimsaycXPE9vImoV36YlxdLOgWhoDC0/FjLOyrwGVZOrkqO5tegoqqGhUszClduQvSTm6R+iKFw5cZZbiyZ38ik6UTcv4B5uTpZbmZZ0KTFR/HcYyISFRVS34ehYWRJYlgAfu79FG1S34dj3ajfF3oRBCG/0CnXksTnXrzbMwxd5zboVXLLs9regiAIQu4qcEnv/63Fra6uztKlSxk3bpzisdjYWAAMDbOeeWRgYJCh3X9JJBIWL15Mw4YNmTJlCocPH/6mGBcuXJhlvXBByC5zXfVstXuXkPb1Rrkgu/HltE/XW6FBK7yP7uLw6jkMWr4DB5faNOg6mBMbF6Opo0uJhh0BsHJpQtFyrvwzfzx93I+grW+Uob/I+NRsjWumn/8TCp/EhIfy8MoZnt25QoDvbdJSkgFQUVHFroIr1iUciQ57Q2RIIAamhegw5g9MLG0y9FH3ty48vXqK8q7VKVysxP8ccclyTEcnR2q3bM+GcT3YNKAJaSlJ6Bga06DLIKxKlOHIukWcXTiQbkt2o29WOMO5JlVrcNXEnOAbx6ldI+v+c5uyns/KYqyZvedzTEr2fj+EX09yXAxXN85Ay9BEsZGlsa5mjo4RHZ/y9Ua/KImKCqZONZQdxjd5d/8CT3fOJb62GyU7jMmyTVLUW1Q1NNHQN8nj6L6diroWqbERqGnpYlK+EVYN+6KirsV7vyuoahsQH3Cf8Ov7MXdpg4ahOfHZfD7r6+fs75GyGBjk7HV8iEvMVrtn2WxnZZO9SQDK+vfwD4vPXkML/RwdN7vXq2eQv/dzyG58GZ+nxliN/Zs3pzcQdXcfxWq3Rsv0Y5lTZT0PTLI5bk7//c2unP58ZK5boNJSgiAUILlXADAXFC9eHLlcTnp6Oq9evWLu3LlMmzaNDh06kJ6enmPjNGjQgCZNmnDkyBFu3LjxTedOmTKF2NhYxVdwcHCOxSUIwscbU+1GzSY+JpIFXeqxf9lUGnQfQs12PTi4YgY39/2FXC5HRVWVluOWkJacxNm1s5Uddq57ePUMS3s15eRfS5BJpTTpM4p+i7cwZtNR2o2ejaqqGo+unSM54QPFnSoREfiSFf1bcuf0QWIjw0mKj+PfM56c2+EOwKOrZ7M9dqFi9gxfs4/qbbvSYdw8pu+9SpPeIylbqzGd529DJpOxd0ZfkuJiMpynoqpG2UbteXzpqCJBLwhC/pUcF8PJef1Iio2ixYyt6BibKzskoQAwtK8AQMjVA6QlZJ50khofw60/3Hi0ZUoeR/Z9VLV00bUpjaapNUVbjUJNWx8VNXVMnBtiWNIFy3rdUdXUJfTCVmWHKghCNqnpGKJtYY9ETQNNIwtlhyMIgiDkkAJ5S01VVZXixYszefJkVFVVmThxIps2bWLIkCGKGd6fm8n9qdzI52aCf7J48WLOnTvHpEmTuHr1arZj09TURFPz55ipIQj5laWdA9P2XMb72G7Ob3fn7ctn9F+8BW19I85tX44cOdU7DsLA3JJa3UdyfsMfNB81Hw1t3a93XsDIZDLO/72Ws9tW4Vy3OR0nLkRLN+PsH+uSTlRv0zXDY0kf4jm0ahZ7F03M8Lie8ceNJT/ERH1THCaWNrQekjlhYVDIik7ztrJrYjeOLBpNp/keGWp8Ozdx4+b+v7hx5B/qdhRLwQUhP5LLZLy6eZZ/9/xJWkoiLWZsxdjGXtlhCQWElnFh9IuWIT7oCcFee7FrOTDD8YBj6wDQNCw4N1FU1NRJ+xCT5SaWqpo6WDXoSdDx1RSq1h4dq6xLLgqCkL8kvn2BdmFbJKqitIkgCMLPokDN9M5KkyZNAPDy8gLIVNv7v75W8/uTChUq0KVLF65du8axY8dyKFpBEHKKlq4+9TsPZMiqf4gKDWLtyM5Ua9WJ6p0Gc2X7Cv49ugMA20o1UVVT5+TKKcikObciRNnkcjnBj+6wZVJfzm5bRbO+Y+gxe02mhPfnaOvp03X6CkZvPEzfhZvpPvNPxmw6xsyDN5m65wpthk/PsVhNbexoMXohgb43ee2TcfWMsWVRKrfqzpmtq4gJD82xMQVByBlpyYmcWzaSS6snYGRtR6vZO0TCW/hmRRv1ACDo3HbSEv5vvxuZNJ2w2ycBKFylqVJi+x7mLm1IDHlGwpsnWR43q9wSLdMiBJ1Yg1wmzePoBEH4VnKZjPiXd9ErWlbZoQiCIAg5qMAnvUNDPyZJ1NQ+TlovWbIkVlZWXL9+nYSEhAxtk5OTuXLlClZWVpQoUSJTX/81b948NDQ0mDJlCjKZLOeDFwThh9k4lGPY6j0kxEZzZtsqanUbiUOtZlzYOJ+H5w9hYm1L28mr8L95gWPLJiBNK9i1iuVyOY8uHMZjZDt2TepOTMRb+i7YRKOewzPNNssOG4dyOFavT4UGrbAu6YiKigomFtbf1deX2LnUxcTGjofnPDMdq91zNFp6+pzctDRHxxQE4cckxrzjxJzehPndofEEd5pMWouhZTFlhyUUQKZONVHV+rjaKvDsNsXjcYGPFf+vUyjzhsf5lUFJVzRNrIi4cTDL4xJVNYq2GUNC8GPCr+3N4+gEQfhWCW+ekBYfhbFTHWWHIggCoKevib4SvvT+fz19FxcXHB0dWbt2rZJ/EsKPKhBJbx8fnyzLlURHRzN16lQAmjdvDnys99u/f38+fPjA3LlzM7RfuHAhMTEx9O/fP1sJHVtbWwYPHszjx4/ZtWtXDlyJIAi5wayILbqGJkhUVFBRVaV+v4moqmtw7Z81yOVySlZvRJtJK/G/cY4Dc4eQ/CHu653mQ+lpqRxfNp4TKyahZ1KIjvO2MsHjNI41Gig7tK9KT0km7l0ohe1KZzqmqaNHadc6RIeKPRAEQZlSEhO45rmdI2v+wGPGEA5P/p2k2ChaztlB0cp1lR2eUICpqKrh2Ovj+/I3l/fx+qwHAKHXD39sIFHhna9XljW/8yOJigqFqncgxu8yKTFhWbbRty1P4VqdCLmwjcTQ53kcoSAI2fEh8CFP1g/mucd41PVN0S3iqOyQBEHIB+7cuYOfnx/Dhg1TdijCDyoQNb09PDzYvHkz9evXp1ixYujq6hIYGMiJEyf48OEDHTp0oGvX/6tXO3HiRI4ePcqSJUu4f/8+lStXxtfXl1OnTlGhQgUmTpz4hdEymjFjBtu2bePly5e5cWmC8N3MddWVHYLSvXn+iJvH9hAf/Y6IwBe0HPjxd9uwkDUdZm1g3/S+hDy5j41jJRxqNkFr7mY8/xjKn51c0DS2wLHHLAztnL84hpm+WY7GHJOQkq12/90VXS6TcXDOYIIf3aHt5FWUrv1/N/qUIbvPv0/tHt26Q3pKMo2aNKFIIe1M7e4Ym/Ho2nnSU1NQ0/j8vgi/2vPeWFPj640E4Ru9S8hc6iky6AWHF4wk5m0QxpZFMTC3pHjVRpRv2x9d0y9v6pXd17Xo+Oy1E35OpmWqYV6+Pu98L/H65CaS3r0h4t45NI0KgURC4LntvH95H+dBK5Co5P95OaaVmhF6cTvh1/dRtNXILNtYNehD3It/ebFzGqYVm2LoUA1dmzJIVDLXDI7P4d8Pff2c3WMop+MzMMjZ+CJCIrPVLvRN9vrTM9DJVrucvo7sitRVzrjW1gbZapffny8A0uQPBOybh7qeEdYN+2LoUC3L301lMM7hf9//fq74Uea6OZtG+tXe3wuCkHcKRNLbzc2N2NhYbt68yZUrV0hMTMTExIRatWrRs2dPOnfunCHxo6uri5eXF3PmzOHAgQN4eXlhYWHBmDFjmDVrFrq62d/MzszMjAkTJjBz5szcuDRBEH7A3bOHuXlsNwBdpi7DsUYDRTKnaFkXzIqV4sDsQXRZuIPC9mUoVr4afdcdI+jBbbz+WU/QxX8o95Wkd37x7PoZXt+/zu9zNmFXpeAtvSxsUxyA108eUqRE5tneVZq25+I/63lw5QyVGrXJ4+gE4df2ITqCneO7oG9WmL7uRzAt8rFmd2R8wS4HJeQ/9u1GEvXEG3l6GuF3TmFUqgrOA5ehoqZO9LM7PNgwhqALOynWuKeyQ/0qVQ1tClfvQOjFbSSFv6Joq5FoF7bN0EZFTR37LnMJvbCNyH9PEHZlF2q6xhRrMwYjx1pKilwQBIDgU+uQpiRQesBqNIwKKzscQRAEIRfk/2kUQK1atdi2bRtPnjwhNjaWtLQ0wsPDOXXqFF26dMlypqOhoSErVqwgKCiI1NRUgoKCWLFiBYaGhpna9u7dG7lczuTJk7Mcf8aMGcjlcuRyOZ07d87x6xME4fs06zeWEpWqo66ljaq6BtL0/5u9qKquQfeluzAwt+D0mumkJScBH2eBl2vUDqta7Yh+cpOU2OzNDFK2h+c9KVLWpUAmvAHMrYtSoXYjDm9aSUpSYqbjhYraYV+xGt5H/vliP3K5PLdCFIRf1oW/FqCqpkbXxTsVCW9ByA1aRoWwrtkOFQ0tKo3+i/KDV6Ci9nGGn4mDC8Ua9+TVqc28f+mj3ECzyaJuN+w6zyYtLpLXh5ZkuWmlprEFtm5TcJ50AIcBa9Ar6sjL3TN5c3o98q9ssC2XyUiKCCTy3iniX/kgF3sMCUKOeP/Mm6h7pynSfKhIeAuCIPzECkTSWxAEISua2jr0XbCJEhWqsXPOSBZ0rsv9k7uJjwz/eFxXn2Yj5hEV9JJ/JnYjLiJUcW6hSo1R09bj/uohfHgboKxLyLa0lGQMzC2VHcYP6Tp2JrFR7zi6dU2Wx2u07carh//yNuCZ4rEnt7w4t2MNp7es4PDqufR2LcbeNQtI+f83MQRB+DEB/17h6dVTNOg/GW19I2WHI/wCbOp3QZaeRvTzO5lKCRRr2hdDW2f8dswiNT5GSRFmn0RFBWOnOhRrO5bE0Oc8/Ws4CSFZ1++WqKiiV9QJuy5zsWk+hHBvT55tHUtCyPNMyezU2HcEn3THd3F7/Nb0IfDQUp5vHYvfmr6kJ8XnxaUJwk9LmpxA0JEVGJR0xbRSc2WHIwiCIOQikfQWBKFA09DSpu/CTYzeeBj7itU4u3Y263rV4fxf80lNSsCqdHm6Ld1NUvx7to9xIyHm48xuDT0jKo3ZjKqmDvdWDiTgxEZS46OVfDWfJ5dJC0SN0y8pbFOclr2HcmrnX4QEZE4KOLjUBiDs1cekd4j/Y7ZM6seZras4//darnluB+Dkjg2MaFKRFw/u5l3wgvATCvN/xNl1sylWvhqO9UVZISFvaBqYYlW9NW+89pKeknHlj4qqGo49ZyGXSnmyc06BWd2jb1cRh/6rkaen8XTjUOIC7n22rUQioXCN33Hot4rU2AiebhjMg8UdCNj3B5H/niDw8DIerexGlM85zCq3oGTvpVSYdoxSfVeQHPWGmEeX8/DKBOHnE3pxG9LkBIq1GaO0vXEEQRCEvFGwMyiCIAh8/ABp41COLlOX0XjITEpWa4jv6X1sHdaaV/evU9i+DD2W7yXlQxx+XscV52mbWlJx1HqsarTlzeX9+KzNeiOq/EBL14CkuPfKDuOHtew5BDNLa3Ysnp4pmZGW8nHTIw2tj5tHpSZlnM2trWdArVZuAKQkJfLs/q08iFgQfj4pCfEcWzqO7aM7oKahRdMRf4gP/kKeKtKgG9KUREKvH850TNPQnNLdphPz7A6RDwpOglevqBNlhmxATdeI+AAfxeOfS9zrFXWi7Oi/KdV3JWZVWpESHUrg0RW8f+aNVaO+lBu3G5smA5GmJOK3biASFTX07SoS/fBiHl2RIPx8EkOfE3HzMJYNeomyJoIgCL+AArGRpSAIQnZIJBIqtepGpVbdiHkbxOnV09k3vS+u7ftSv98k7F3r4+d1FJd2vRXnqGnqUOK3ESS8DcjXM6mNrW15dMGTlIR4NHX1lR3Od9PQ1KLnpHksHd6d6ycOUKvV74pjSR/iANDU0QOgeLnK9Fu8BV0DY8xsiqOjb4iptirXjh8AoGQFl7y/AEH4CVzevoIXty7SbOQ8yjVqh4qqeDso5C0t48JYuLYg+MI/WLg2R0PPOMNx0zLVMHZw5dXJTZiVq52pDEq+JZEgl6UjkUiQpSbz2nMxsS/uYOs2FaPSNTI1V1FTR9+2PPq25bFu3I/0pA+oqGugoqYBQPxrXwJ2zwIgMewlJuUaEHhkGalxkWgYmOXppQlCQSeXSQk8uhLtQsUpXL2DssMRBEEQ8oD4lCMIAgDGmho52l9MSmqO9vetjC2L0nnBdq7uWMXNA39RveNgHOu15vCCEUS8egpk/LD4IcQfs7K1MvXjH5a92pnGupo52i4yPuPPz6Z6S+4c2sqDG17YVmuqeNxcN2dfxs111XO0v6yUrVqH6k1/Y9uCKUSEBNFu4FjMddV58y4IALviRRRxFGrQOMO5crkc+3KVCHn5DNsyzj8cS04/7/M7Zf9e5rV3CWnKDiFHvEv48mZ3n/z3dSMrUYHPuH9yD/ZthpFsV587Ae9/MDpB+D62LQbw7sFlnu9bilOf+ZlWG9i2HMi9Ff15tm8JpdzGKza8zM9kaSlIkz+gpmNIxO0jxDy5hn6xcgTsmUO5cbtQ1zf94vlq2nqK/48LuMfLndMV3+sXd0bdwJygY6t4uXsmOpYl0TAshIZRYXQs7NEyL5rh5kB8fEq2YtbXz977kuy2y+64OU1HXydb7RLjM2+mnZ9k9+f8MiwuW+1MstlfTsvudeTluG8u7yMx5BkVR67HwEg3D6P6Pzn972Gmn7PvY7P7uSIvPi8IgiDkBJH0FgThpyWRSKjQvBPe+zYQ9PA29q71MLYqzuk1Myk5cHWG2Y1WNX8j8Mw2EiMCKdqoJyZlquWr5f5Bd71QVdfE0tFV2aHkiL7Tl2Bqac2RzX9SpnJ1ylSpwbUTB7C2K0Uh62KfPU8ikTB9syepyUmoayjnA5UgFGSvb55FXccA69pilpugXBr6JpT6fTx+HjOIenw9041ng6JlcOgylef7lqBlbEHxpn2UFGn2qWrqYFS6JqEXPZAmf8CsSkvMXX/jyboBpMa++2rS+5P3z7wJ2DMH/eLl0TC2IPbpDbQL2wJQpMUwYp/fIiHYj5hHl5EmfUx+qmhoo2NVCh2rUmgXKo6WeVG0zItlSKT/L7lcjjw9lfTk9I8bacplyGUy5LJ0UuNjSI2NJCUu8uN/YyNJS4jBslobTB2r58wPSxDyUNzrx7w8uhbr2m4Y2mWcNCGXy4kPfoq+TamCs6pEEARByBaR9BYE4aemY/TxA2ZaciJq6hq0HLuInRO6oHvNE5u6HRXtijfrh76NA4HndvDwr/EYlahIuUHLAeUnVqXpaTw5u4cSdVqjZWD89RMKAA0tLdyGTuT2+eNsmDkKO8fy+Fy7QNcxM7O82XBq51/s+XMefaYuol67rmjpKGeGjiAUdGnJiajrGxeIWbPCz8+8fH2MSlXh5RF3TEpXzfS8tKzakoTQFwRf3IV1rQ6o6xooKdLsK95uAs+2jiXp7Qu0ChUHuQwAuTR7KzYibnoSfHIdRqVrYPv7dKIfnCfy3+PI0lJQUdfE3LUN5q7/t/GsNDmBxLf+JLx5SsKbp7x/co0I7wPw/2uJq+mZoG1eFE0TK9KTP5AWH0VafDRp8VHI07+yOkSigoa+MRqGZsilUh5tnoRj7z8wd677XT8bQVCG1A8xPPaYjn6R0ti3HZ7hmFwm5fn+5bz1PoKBbTlKd52GjnkRJUUqCIIg5DSR9BYE4aeWlvxxGavk/8/qti5TkQrNOvLw1BYKuzRDXefjB2iJRIJZudqYlq1F9JObPNo6lReeqzDvP1NpsX8S4nudxJh3ODXrpuxQcpREImHk0k1cPrybwOeP+a3/aOq3z3yN70KC2PPnPAAOblhGzZYdxCxvQfgOMpmU4PtX0bUsoexQBAH4+HegxG8jubu8Ly8O/Ump38dnamNatjZvLu8jOSasQCS9VbX0sGrQm5f/TOf94ytIk+JR0dRB5yu/d3KZjDen1xPhfZDCNX/HuslAJCqqaBe2A7mc+ID7GDpUy2I8XfRtK6BvW0HxmCwtheTIYJLfBZL8Loikd4Ekvn2BqrY+mibW6BdzRl3fFFUdA3R0NEFFFYmKyv//UkVdzxhNQzPU9YwVq+Jk0nSe7JzLY48ZOPacQ6EK9XP05yYIuUEuk+K3Yzay9FQce/+R4caaTJrO013ziLh3gWJN+xBy5QCvTvyFU+8/lBewIAiCkKNE0lsQhJ+aqroG2gbGnFw5mbfPfKnVfSSV2/TC59ReEkJfYlSiYob2EokEU8fqlPp9PM92L+CppQ0OLfootdTJW79/0TW1wMjGXmkx5JYiJUrTffycL7a5d/ksACMWb2TNpEH8e/EU1Zv9lgfRCcLPIz0liQdHtxIXFkilztOUHY4gKOhZ2VPSbRzP9y5Gz7okVjXaZjiuU6goKhpahN89i75NKSVF+W0MHaqjZ1sB0wqNeXf7KPq2FVHR0Ppse7lMRtDxP4n89zhFWo2kUNXfFMd0rEqhZ1uBoBNrcCxeHlVN7a+Or6KuiY5lia8m2iH7tZdVVNUo030mEokKT3bMwqCYI1rGhbN1riAogzQlCf+DK3nvf4/yQ1ehZVRIcUwul/Nk51wiH1zGsddcTMtUI+j8TgyKl1VixIIgCEJOE0lvQRB+ahraugzcdJa7R3dw68Bmnnufp/HgjxtDPdoyBT2bUjj1/gN1XcMM51lWbUlyVCh+nut4H/iUyn1mov6Zupi5LfzZfSxKV8pXNcbzUrnqdTHbWwSPhVOwsi3JjVOHRNJbEL5BemoypxcMIsL/AU7Nu2NQ3EnZIQlCBlbV2/AhxB//gyvQsSiOkV15xTFNQzOKNuxO4JltyNJSsKreBj3rkkqM9uskEgkOfVcAkBIVQtiVXbzYOQ3Tik1JfOuPPD0NiZoGKmoaqGhqk/jmKdEPL1Lst/GYVWqesS8VFYr/No7H7v0JPLSEYr+NQ1VLOe9HVFTVKNVxAlGPr/HW+yi2LQYoJQ5B+Jr3L314ums+qXFROHSejHHJyhmORz68yrv7Fyjz/1ctRNy/gFyahqlTTSVFLAiCIOQGFWUHIAiCkNu09Ayo2XU4fdcew7CwNQfnDkHXqgQ29TuTEPqSh5snI01NyXSebYsBVBu2jAi/W1ya14u4kJdKiB4So8PRL/zr1he0si3JrG1HSElOIvSVP8mJH5QdkiAUGHKZjMtrpxL56gktZ3tQrdckZYckCFkq0W4UajoGPNoyhfSkjK/zRRt2o2ij7kQ+vMK/y/vx5sp+5P+/ZnV+V7hWZwBin3kTsGc2kXdP8f7pDaJ9zhJx05OQc5uJeXKN4u0mZkp4f6JpYk3xdhOJ9b/N4zV9eXt5F7HPb5IWH5WXlwKAmpYuhV2aE3LNkzeX95MSG5nnMQjC50hTk3lx6E983IejYWBGlYk7sKzaMos2qzApU41CFRsCEP7vGfSLOqJjbqOMsAVBEIRcImZ6C8JnGGtqKDsEIYcZWRahy4Lt3Nz/F1d2rMS0uAPVhy/l2orhvPZcSpX+czPNpo4uWZ1KYzbzeNs0vBb2p+Ko9eha2Gbq21g392pMpyUnovGDs8zNdXN207q8/v0wtrSiYZuOnNq3HW0tbfH7+Yt7l5CWw/1lb4O57IqM/8rmcN/oZVjcd58b7LWX17fP49RnAR8M7PjwA30JQm5SUVVDTUsXJBIkKqoZj6lpYNtiIMWa9iXg2HpeeK5CLk2nSP0uSoo2+9S09Sg/5RAJIc/RsbBDXd80Uxu5XP7V1Vwm5eqjW6QMb06uI+zqLmQpH/cs0bYsgWmFJhSq3iFDH9ktW/I9ijXuScr7CF4edefF4dVY1WiLfdvhqH6hhMt/xcVlnmyQF3T0dZQy7q8mPj7v/33jAu7hd/xPUt6HY992ODZ1fs/0WgIQdP5vUuOiKT90NRKJhJS4KKKe3KRk+zHfPba9Rc7uN2Cmn7Pvc811s5f2yenPC4IgCMomkt6CIPxSJCoqVO80mCQtU+5unYO6tj6V+8zgzl/TKVyuBkWrZZ5lpVOoKBVHruf+6qE82DiOSqM3omlonifxyuVyUpM+oK6tmyfj5bakxAQiQoKQy8HQxBRdfQNUVdVQUVX96gf+HiOnUr5qbRwrVc2jaAWhYJOmphB0YScWVVti7lxH2eEIwlepamhhYFvus3WrVVTVKPHbCGTpqbw+44FF1ZaKDanzMzUdQwxLunz2eHbLl2kaWWDfde7H9wax4SQEPeb9k+u8ObUOJBIKV++QUyF/OQ5Dc8r1X0xaYhxht0/y6sRfvH95H8eec0FfzJQV8lZqXCRvTq8n5uElDO2cKdd/MTqFi322/fsX9zB1qqGY1R1x9ywSFVUKVWqYVyELgiAIeUQkvQVB+CUVqdqM+LBAnp/agaahCfBxw5vPUdPWo9ygZdxfNYgHG8dTceS6jzPScll6ShLI5ajrKKd+54+KiXqH1/ED+D+6T0RIMMGv/ElKyLo8SamyFanX2o3aTdtiaGKW6biegSE1GrfK7ZAF4acRdvskaQmxFGvUQ9mhCEK2qGnrEffqIakfYtDQM/5su2JNehN2+yTBl3Zj13JQHkaYP0gkEjSNLNA0ssDEuSFvDM15c3o9OhYl0Lct//UOcoi6jgFF6nXGpHRV/LbP4u6K/tg0HYR51d9+2X1IhLwjl0qJuOVJ6MXtqKhpUrz9ZIrVbvXV556WqTWJEYEf+5DLCbt9ErNytQvEDTRBEATh24iktyAIvyy7eh14dnwrfp7rsGvQkeK1236xvZZRIcoNWs79P4fgt2MW5QYszfUPdYnREfw/9u46vqmrDeD4L2lqaZu6OxUo7u5OcXd3Z4wBw2H4YDDGkOHuOtzd3YsUKZSWlrpL8v7RF7aOAqFNmwLn+/nweffmnnvOc9PIzXPPfQ6AocnHf/znRq+ePWHTX3M4tX8HOjoyHFzz8PzRfQCKlK1McmIiFes0xMjElNTUFJISE7l25hjLfh3Psl/H06Btd7r+OB6pNG3pCXVu/RYEIb2k6Lfoyk0wsHTUdiiCoBY3357cXT6Kq7O6kb/LL5i6Fcywnb7CEsdKLXh5cgtOlVuh95V9R2qaY61exAU+wn/TRNxb/IxJnuI5Or6RnTvFhy7Bf/cCAvb+QUpcJA7Vu+RoDLld2M2jPNs5M23xUl0DDO098WgzAalu9pWh+RYokxKQyHSRSHWIenKViPtnSI4KJSn6LUnhwaTERWBduhEONbojMzRW61zRyNaNkJsnSI6LIi74BbGv/cnTsF8OHI0gCIKQ00TSW8hRMTExGBgYIJOJl56gfQamVlT5eRkpCbFY+5RW60TZ2D4P+TtN4PZfwwi6uAf7sg2zNca3zx8AYO7qna3jaNLb4NcMbVsHI2MF3X6cgJWdA39NH42RiQJzK1tuXjgFQGXfplRr2PL9fr6tuxAZFsrBbetY/+cM7l2/iEql4k1gAKkpqXQaPIq6LTuJ5LcgqEGlUhHpfwuZoYl4zwhfDbM8RSg5bCV3V43lxh/98Wg8AMdKLTJ8DbtUb0/AsfWE3DqBY4WmWog295Do6JCn9XgerhzGo1UjsK/WCUXjnJ0Br6Orj1fzH0hOlfD6xBrM8pVH7vD1nLtkNxUqVCnJWJdvCRIpwWc38/LgIlwaDNZ2aLlW7KuHPF47Cn1zO4yc8vHm/Hb0LZ3Qt3DA0DYPpp6lMPOp8MWvM9tSdXh+eBX+exaREPoKuZ0bFvlKZ9NRCIIgCNokMo9CjpkzZw5Dhw6lRYsWbNq06f0MTkHQJos8Gc8i+xTL/OWwLVUP/z2LsCtdH0k2vpYNFGmlV2JCXmP4///OzR7evsaCX0agp6dPvqIl2b9pJYEv/ClYshxDp/6JmZUNP3dtwoMbl9m+4k/OHNyFtZ0j1vZO+BQrTYmK1WnVczAunnk5tG0tFla2lKlWl6CAZyycPIIrp44w+Je5KMw/XAhMEIQ0KmUqzw4sI+LRVQr3/k3b4QjCF9E3s6bogPn47/6Tx9vnkvA2EM+mHyYGdfQNQKVER1f9xRO/ZTIjU7w6zeDWzBag0k4MYX6XCb3yN/qWTsg+UZ7mW5cSG0GM30n0bTyR6OqjjI8m+ZUfUj0D7Cq1QcfAGF0TSwL2/I55gSqYuBfVdsi5ijIpgbA7xwnY+wcGVs4khL4kLvARTr79sSnbLMsXcvVNrcnToA+PtqV9PxboNjXDBS8FQRCEr59Iegs55u7duwBs3bqV5ORk9PX10+qoBQVhbGyMiYlJlvo319fsKteaZqbh+CISkzTaX26n6dXEQ43Uu5007COrz9uWrE3w5f1EvbiHqVtBngRFqdWfhcmX3caq71wAPWNT7hzdTlE7zwxayL+ov8/Jyvvo5oXTjO31z8ztMwd3U7dlJ5p07kvNpm3R0Un7QTFtxU7OHf4b/wd3CHn9itcvn3Pz0hk2L5lL6Sq1KV+rAcUqVKNstbrp+i9fqwFzxwxmQIvq9PllHj4lymU61ndy++dGbhcSm6ylcVPUahcardnPyfDYjD8P/utjnxs55dHW3wg8vwu3ut2x8Mn8wq/RWj6O74XJF34vfA+kOjJsa/YBuRUv9y/ApGAt5HYe6dqkxKetD5GYIvmuXqufer3c37UUmZEpeWq1ycGI/pEYHoQyKQFTr1Lomny4Nse/KRTqve6jotT72xorNHs+9CVUylSSI16TFP4KVCqiH5wk5v6JD9q5+/bCzDrtor1xjZaEXd1D2JVdOBTOvgW6tfV9pJMQQtyb5yhc8qtVfkilTCX80VWCrxwk9NZJUhPjsS5anXztRpMcE4EyJQm5jYvG4itYtzVvbxwBwLt8rY8m0r3s1Pt9am2knbSKpn8fifNiQRC+NSLpLeSYJUuW0KxZM0xNTdHXTzvR7d27N0uWLMHd3Z2LFy9ibW2t5SgFQT1mHsUwcvDkwbrJlPhxWbYtainVkeFVpyN3ty/AtWIjzF3zZcs4/5aUmID/gzv43bpKgP8jZLq66BsYgkpF0MsXqFRKeo6cjLVd+jrBeXwKUq9VZ0Jev8Ta3oniFapTplqdD/rX0dGhUt0mVKrb5P1jKpWKE3u38fe6JcwdMwgAGwcn4mNj8S5UjPEL1lOqci1+WX+AxeOGMKNvGxp2HUiTnkPQEeWSBCGdyKe3cCjXGLe63bQdiiBkiXXpxrw+vpqIu6c+SHrrGBihI1eQGPpSS9HlLhFPbhB85QB524xE18hUKzHYl21IbGQUL/cvQJmUgEujHz45gzYlLgqdr7QEU2pCDCHH/yIx+AnJYQGoUtNfBDYv3RIjz3LEv7iBnqULsphnOFX952KERCLBtlRdnu5djEqZ+s3MNI4O8OPR9rlEPb31/jFDa2dMPYpglqcoNsVrIpXpEhfykvCHl4kPeUl8SADRAQ9IinqLobUzztXbY1uiFoZWTgDoWNhpPE6JVIdKPy0ClfKrfP0JgiAI6hGZAiHHSCQSfH190z3m6Zk2c/Xp06cMGDCAq1evYmpqyoULF9DV1eyVa0HQJKlMF5+O47kyoyPhD69gXbhKto3lVbsDL87t4dGB1ZTuPTVbxkiMj+PSkb1c2LeVBzeukJKSjJ6BIc7uXiiVqSQmxKNUKrFzcuWl/yPmjBrA1OU70vVhYmpO3zEzMjW+RCKhWoMWVGvQgvC3IVw/e5wA/4fExUSzf/MqHt29gVeBophb2zF8/jr2rl7I9sWzuX76MNaOLuQvWZ5SNepjZmWjiadDEL5qiZGh6JuL94Lw9ZPKdDHzqUD43VM41OiabptEIsHQxo3o57ew+84XOw6+ehi/TdNRuBXErnR9rcZiW74FMkMFz3bOJCUhBvcWo5DK/pk9qkxJJuLeaUIu7ybm2S08O07F1LusFiPOnOSwl0TfOYxx3kqYFqqNnpULuhZOSKSytLI7RuZIJFIMHX0AcHSs90EfcltXVKkpJEa9xcDs6/7MTk1K4NmBZQSc2ISRnTv5O03ExMWHqBf3ifS/Sdj9CwRd2INUTx+rgpW4NrcXKfExGFrYY2jthG3JOlgXrY6Jc74cey/r6IpZzYIgCN86kfQWtGro0KE4Ozvj7+9PdHQ0mzdvBkBfX5+yZcvy008/0bTp9704kZB7xQY+AUBH3zBbx5HKZNgXq8rzM7tRZcMP+9DXL5nQqQHREWEUKVuZbj9NIF+Rkrh55UeWwcWnP8YP5fmj+xqN4d/MLa2p3qgVAKmpqVw9c5TFU0cxcvZSpGaWSHV0aNh1AD4lyrF39ULioqPYMOcX1s4az/Qtx7F38/jMCILw7VIpU0mJjyEx/E22fF4IQk7TVViREPKcpMg36JmmTwzalGmC/6ZJhN08gmXRWlqKULtig55yf+0kbIrXIG+rEdm6zoi6LIvVRsfACP/Nk3i0ajgWRWpiYOlE1OOrhF7dR0psOMZuRZDJTYl+evOrTHpLDdPKXpgWbYDcpXCm+jBx8kaio0vQxb241en6+R1yqfCHV/DbNIPEyFDcfXviXK0tUp20NIOhlSO2xWtyf90vqFJTsSxQgfCHl0mJjaTk8FUYO2RUuk8QBEEQNEP7Z0XCd00mk9G2bVtGjx7NtGnTePHiBXPmzEGlUnH+/HmaNWtGSop6tVsFISeplKk82jobY6e8mHuXyvbxrPOVJDEqjHD/Oxrv++8V85Hq6PDrjtP88tdmGrTtjmf+IhkmvB/fu8mZg7twy1tA43FkREdHh+G//sWbwAC61S5Or0p5+aVbU/zv3sSzcAkGz1rKz4s20XNC2mJEI1tWo0dFLxaNHUzIqxc5EqMg5CYSqQ7uvj0IPLeT+6snoFKmajskQciSsBuHMc1XAV3FhyXwzAtWxaJwTQL2ziMpIlgL0WlPclw00S8f4v/3Qgws7MjXdlS2X4T/EmY+FfDqNIOU2Ehe7J7Lw+VDeXNxJ+YFq5B/wDLydp+DsVthYl/5aTvUTEkODwRAlZr5tSP0Ta1xrNyCgGPriAsJ0FRoOer5kTXcXDAYfTNbSg1fhWvNju8T3v9maOlISnw0qFSE3DiBobUzRvZikoIgCN+Gy5cv4+vri7m5OUZGRpQuXZr169d/UR9KpZL58+dTuHBhDA0Nsba2plWrVjx69CjD9mvXrqV3796ULFkSfX19JBIJK1eu/OQYUVFRDB06FFdXV/T19XF1dWXo0KFERX18fbL169dTunRpjIyMMDc3x9fXlytXrnzRsWmTmOkt5BoSiQRnZ2eGDBmCXC5nzZo1eHh4sGzZMtq3b4+xsbG2QxSE914cWUtKfDQyec7UorTyLo6pszcXF46kyqjlyC1sNdZ34LPH5C9VERsn10+2C3r5nIl92+HskZceP03U2Pif412oOPO2HuPO1fO8fPWSA+uWMKlbY2ZuO/k+5pLV6/GD0XJioiIIfxPE4U0ruHBwJ417DKZpr6E5Fqsg5AautTpjaO3MvZVjMc9XGvsy2i13IAhZoWtqjY6+/KPftc4NBhE9/yaP143BrnJ7zPNXQqLzbdRH/pjEyFCuzelJYsQbAHw6TkhXQiS3MHEvSoFBK1AmJ5EY9go9M7t0iXm5gzfBZzZpMcLMSQx+QtDf05C7FUfuUiRLfbnV7kLY3XPcXjyMYkMWo2dsppkgc0DQpf083bMIl1qdca/X45N3GdiUqM2zA8u4/dcwIh5fx6VmR3EnkiAI34QTJ05Qp04d9PT0aNOmDaampmzfvp327dvz7NkzRo0apVY/ffr0YcmSJeTPn5+BAwcSHBzMpk2bOHToEOfOnSN//vzp2o8ZM4bnz59jZWWFvb09z58//2T/sbGxVKlShRs3blCrVi3atm3LzZs3mTNnDsePH+fMmTMYGaVfp2zq1KmMHj0aFxcX+vTpQ0xMDBs3bqRChQocPHiQqlWrftFzpQ1ipreQK/Xq1YvTp09z7Ngx+vTpg4uLCzNmzECpVGo7NEEAQOFeCACnSi1yZDwdXT3KD/4diVTKubmDSIqL1ljfkaFvMLX8/CKym5fMRaarx7j5azCQZ8/CnR9jZmlN+ZoNiIuJIuzNa8yt7bh35RwH1i3hwPqlXD91GAO5MXJjBQoLK4pWrIFKpeLaiUNA2kKZdy6e4saZozy5c53Y6EgA3r4J4sLxA1w9fZQHN6+SmipmxQrfBpui1bEuUo0Xh1drOxRByBJ9C0cSw159dLvM0BiPthOQ6urzdPMk/DdNRJmS/NH234KXp7aQmhRPkf7zKNLvd2yK19R2SJ8k1dXD0Nb9g5noOvpylCmZnymd05IjXvPm8J8ErB+KroUT9o3HINHJ2hpEMkNjCvWeRUpCLHeWjiAlIVZD0WavML9L+G2chl2ZBrj79vxkwjv+bSCRT65jaO1E5NM7IJUSeH43ry/uzcGIBUEQNC8lJYUePXogkUg4deoUS5YsYdasWdy8eZMCBQowfvz4j87U/rfjx4+zZMkSKlWqxLVr15g5cyarVq1i7969REVF0bdv3w/2Wbp0Kc+ePSMkJIQ+ffp8doyZM2dy48YNhg8fzqFDh5g+fTr79+9n3Lhx3Lhxg5kzZ6Zr/+jRI8aPH4+3tze3bt1i9uzZLF68mHPnziGTyejRo8dXUZVBzPQWcq3Lly8TEBBA+/btMTMzY+TIkSQmJjJu3Lgs9Wumn/tmwmSGpo8jIlGzPzrMNRxfuIbj87GTZ2l/lW0VQk6WwX/7bxQqVYbXCZo9XnMj/Qwec6LeqEX8PbYDT/cto2znEer395G/R1xMNGHBr3F2cvnk3ywuNoYzB3bRrNsAFOaWar/+1H1dqfP3fXDtIjuXzAUgLDiQFVNGoG9ohFKlJDkhPl1bK0dXClf1pVqbnoTEJnN8w2L2Lk7/RW5qbUdkSFC6x6wdXajcqDUWtvZU8G0uZiHlsJBY9U6cQqPVfF3FJqrVLixavXa5XfR/jkOlZ4xKKvvgcSF3UffvY2Ly4ffC1+hLX48GFo5E+p1HpVR+NLFm5ORDvl7ziXhwDv+NE3m6eRLurcYhlX09i6J/yd/37Z0zWBWqgrlXiWyMKHPUPY6014EKPvM9q1Co119UVPZ9ziW+8Sfs0hZiHpxCx8AYi7JtMC3eCKmeodrxfYqhpQOFev3KjT/6c3ZUPYwdvcjb9udcW+86ITyIu8tHY+5dCu9WP330XCmtFOBvBJ7bCRIpJk7eOFWpjJ7CivCHV3i8fS6WBSpodHa7hZqvPy87E7Xa5bdRr2SQpn/3CILwdTh27BhPnjyha9euFCtW7P3jJiYmjB07ljZt2rBixQqmTp36yX6WLFkCwOTJk9HX/+dzrEaNGtSpU4cDBw7w8OFDvL2932+rWVP9C94qlYqlS5dibGz8QT7t559/5o8//mDZsmVMmDDh/Wf6ihUrSElJYfTo0Ziamr5vX6BAATp16sSiRYs4duwYtWvXVjsObRBJbyHXio1Nm+nQtWtXKleuzMGDB5k4cSL9+vXDyspKy9EJ3zuJREKV/tPYNao1x+b8iFe3Gcj0s5ZIV4eZYx7y1miB37GtlGwzCMjamCf2bCU1NYXyNT9d/iA6IoyUlBRCgwKzNF5WeBcpyQ9LdqOrb4ihiQJDYwUyXT1UKhXx0ZHERIRhaKzA0CTt8X97cf/W+/8uWbc53iUrEvjkPh6eXngWKo6BkQmhgS84tnUtu5fNIzkpkZiIcCztHMhfuiJGJqb/DUcQcr2kiOAPFv4ThK+NsXsRAo+tIO6VH0bOPp9sa5avPB5tJ/Jkw3he7l+AS8PBORRlzlKmJiMzyNk7rrKFStsBfJpKpSTkyAIib+xFZmqLdfU+KArVQqproPGxFC4+lBqxhsBzuwg4to7EiJBcm/R+c+0oKmUq+btMyrB+N6QlWO6vmcSbm8fxbDYE25J10ZWnJZqT46J5c/UQEh0ZqtRv+64MQRC+bSdOnADIMPH77rGTJ0+q1Y+RkREVKlT4YNu7pPfJkyfTJb2/xKNHjwgMDKROnToflDAxMDCgcuXK7Nq1i8ePH+Pl5fU+pn8fx39jWrRoESdPnhRJb0HIrCpVqmBhYcHQoUOJjo7m6dOndOvWLd1VJkHQJrm5NdWH/Mb+yT0I+6UVrrU741C+cbbX1fSp1Yq7+9Zwce1sCo3+9FXjj0lNSWH32r9Yt+BXytXwxdLW/pPtrewcUZhboKevvZmGUh0dHL0+XEBTIpEgV5ghV5h9dN9OE+fz9tVzlgzvikqlpHjNRhSv2Qhro39mAVrY2OFdtDQqlYqpvVuyYe4vAFRr3oEGnfthZe+k8WMShOwkd/Ai9Op+lEol0k/cei4IuZmxcwF05AoiHpz9bNIbwDRvWewqtyX47Bac6vZBqvttzJCHtERiYngwunJTYgI/f7t0ricBlMpPzuLXFpVKRcixxUTe2Id1jb6YFq2PRJq9teINrRyxLlotLekdnnsXZg29dRKLfGU+eeElJT6GN9eP4NFkIE6VW6bb9njHXOLfvqJIv3nom36+vJ4gCEJO++/Cjvr6+ulmYL/zrnTJu0Txv5mbm2NlZfXZ8iaxsbG8fv2aggULopPBmiTv+lanTMrHfCrO/47x7/82NjbGzs4uW2LKKbnr7EIQ/kUikZA3b15u3bqFt7c3N2/eZNmyZejqfj23qgrfPtu8RWn+224s85fj8Y55XJrajpCbx7N1TBMbJ8p1HcWDw5vYMG0Y14/uJjL08z+OYqOjuHzqMEtnjqN/08qsnPMLdVt0ZNCkuZ/d98GNy4S9CaJS3SZZP4AcEvHmNXH/r90tkUiwcnKjQMVaXDu0k4t7N390P4lEwog/1/PHwWsYKUw5vm0tI1tU4+jWNahUuXxamiD8i9zeE2ViLKlxkdoORRAyTaKjg1neckQ8OKf2PhaFa6BMiifS70I2RpazYl494vq8flyY1JzoF/eQGXz9C7wbWLuhSk0mITRA26F84O3pVURe241N7QGYFW+U7QnvdxQuPtiXbcjjXfOJD/14LXttUqamkBAR/Mna+e8mgOgZm6d7PDk2kjfXj+FSsyMmTpmbsSgIwrfP3FgPCxP9HP9nbpz22eXs7Iypqen7f9OmTcswzsjItHPsj03MVCgU79t8jDp9/LtdZmRmjMjIyGyNKaeImd5Crnby5EmOHz9O1apV0dMTtdKE3MnE2oF87UbjXL0d/n8v5O7KseTvNBGbYjWybcx8NVuSGBvFi3N7uHpwBwAOHj50mjgfKyc34qOj8Lt8iuDnTwh7/YKwF4955ncXlUqFla0DRctXYejU+XgXKv7JcZ7cv82yX8cR+NwfCxs78hbWTv3QqycOcv3UYcIjIrC0d8bS0RVHz/y45C+aYS3JqLchTGtXjdSUZIzMLLB2csfc1gETSxv05UbsnDeRErWbAGkX0VQqFQ9vXMLUwhpTKxtunT2G3MSU9j9OxNDImCvH97N6xmgMjYwpX68pSqWSHYt/4/nDO0iQYGiswMzKhnwlylK0Yvb93QXhS+iZ2aFMTiQ5KgTd/yQeBOFrYpavAm+vH+T18TXYVmrz2VrdBlbOyB3zEnx+G2b5K+W6WcRfKvTOGe4s+xm5jQv5O09C18gUhVtBbYeVZUZOPiCVEvPiNoY2rtoO572wCxsJv7gJq6o9MC3im+PjezQZSJjfZR5smEbR/vNy3evXu9VPXJ/bm6f7/sKjUf8M27x7j0b438TCpxwyuQmht07w5O+FSKRS7Ern/PP6XzcObOb5zfMA2HkWoGjd1gTcvYJMzwC3ouW0HJ0gCNoUEBDwPrELZDjLW8gcd3d3pFIpBw8exNMz+8t4iaS3kKvp6urm+hpBgvCOkZ07BbtP5/66X7i/ZiJvrh/BqmBlLAuUR9dI82V5ijTuTpveA4l6G4L/rUscXD6XhT+0x9bNi8fXzqNMTcHEwhpLB2c88hWkQdtuFCheFnsXd7UXaLx18TR3rqT9IKjZtK1WSiSEvHrBvJ96AuBdsiJ3zhwmPDgQZWoKTnkL0aj/aPIULpVun5d+t0lNScbM1gETcyue3bnKsztX3283tbLj8v6tlKlUBWsHF34b3JnbF05iammNgZExwS+epuvP0MgECxt78pVI+xH06OZldi+fh3v+IphZ2fA2+BV+1y+yf+1i+k6ZT9najbL5WRGEz9P7/23jSZEhyB3EjDrh62Warzx2ldsTeGIV4fdO49Z8BHI7j0/u41SnNw+XDyX06j6sSzXIoUizR+itkxjZuVHix+Vf1eKcn6Ojb4jczpOY53ewLqn9v5FKpSLs3DrCzq3DonwHzEs110ocMgMj8rUbxc0/BxF4dgeOlbQTx8coXHxwb9AH/91/Yu5dEot8ZT5oI5FKsS1Vj9cX9hB0cd/72t0WPmUp1H36BzPAc1pSQhzHlkxDYeOAkakFp1fP5ez6P0lOiMPAxIzBGy9qNT5BELRLoVCkS3p/zLuZ0B+b8RwVFfXZ8rzq9PHvdpmRmTFMTU2zJabXr1+jp6eXIwlvEElvQRAEjZJIpeRrNxoTJ29Cbp7gwYYpIJEit3ZG38ya/L6dsC2o2dkjCktrilarj3uhkqz7ZQjK1BQaDxhDwYq1MLVOq8HlbZG5Ba9qNWvPit8m4ejmSft+wzUZttr0DAyxd/Pk9bPH2OXJi2/PYcRFR/L3gqm89LvNgkFtmLLvFvryf44xb+lK1O0+lKPrFhIRHIitmxd6BoZEhgQhV5gh09Nnx9wJbPstlfqd+nL7wkk6DJvIleMHMLeypfek31GYWyI3UXD/ynkuHf6bJj2HYGGT9nwaGv//lq63IYT9f3HP1NSUtG1GX/8t58K3QUc/7bWYmhCj5UgEIWskUimOtbpjXqAST7fN4MGivuTt8XvaTOGPMHEvimXxerw6tBhTr1LomdnmYMRZo1KpCLl+lAj/mwCE3DyOXZkG31TC+x1j14JEPDiv7TBQJicSfOA3Yh6cwrJSZ8zLtNZqPOZeJbAqVJnga0dyXdIbwLlqG8L9LnN/3WRKDV+NnsmHSWyf9mPwaNSP4CuHSE2MQ+FeEIu8pbUQ7YceXzhKckIcLcYtwszemei3wVzfs57zmxdhZifWcBEEQT3/rm1dokT6O6LDw8MJDQ2lfPnyn+zDyMgIe3t7nj59Smpq6gd1vT9Xj/tL48xIRmN4eXlx/vx5goKCPqjrnZWYHBwcCAkJ+eL9MkskvYVvhpm+KH+SEzT9PEckJqnVzlzNcdVtF67muNYe6l29tDL5z7j5BgIDiQkL4cnlE4Q+f0Sg300uzP+Rat1HUMy3zUdXvAewNlLv4/nfCzFaGzkxfunWDNupe7zuivQJ2xvX0n6Izly0HmeXL7/1WN3XyyfbKYxZ8/dp1v01l00rFnBq8zIgbXFNUwsrHFzz4K7Qw1iRPrHvM3g4bdt3IeJtCG7e+T+Y3R4ZFkr3OiXZu3ohleo2plWn3rTq1PuD4Z3qNqJW3fQztxU+BWnVcwjJyUkYGhkjlUhRqpQ4FyhG/lIfrrr9tQmJ/Xidzsz1l6LR/tQVFp2olXE1LTqTx5EU9QYAPVMbTYbz1YmKUu/5Uyhy962r6r4OTEy0cxyZfZ1+CbmDNz59F3J/YV8Cj67Aq/PMT7Z3qtObqCdXubewN66NhmJeoPJnx9DW8/dvfhumEnRpH3I7NyQSHSwLViRP/Q+/n75m755nK68ivDm/HX3iMkycqvu6ysr7Nz74Kc+2Tyc+5AV5Wo/HvGAVtffNzteLqUcR/PcsRpmSnOsueEikUvK1H8OVmZ14sGEKhXr+muFdhHomFjhXa/PRfjzsPj+T8kt8cD7+EQeW78OrSEnKF/n/XVA2bpTxGcXzy0dxcnUjv40hoP7vitz+O1Td31uCIHyZKlWqMG3aNA4dOkSbNuk/6w4dOvS+jTr9bNy4kbNnz1K5cvpzlYMHD6rdz8d4eXnh4ODA2bNniY2Nxcjon9/NCQkJnDp1CgcHh3Szr6tUqcL58+c5dOgQnTp10lhMNWvWZNmyZVy/fp1ixYpl8ojUl7sKhAmCIHxjjC2sKVKnJTV6jaLt9DUUrN6EI4sns3xAY/yvnMr1CyO+m72cqkzVahx6evp0HTCCtSfvMWXZNiYs3MCyg1dYc+IOM1btxlhhluF+5lY2uOctkOEPMVMLKyYs3ECluo3pOnT8F8Wjo6NDh4Ej6Tp0HG16D6VVryG06T30m0h4C9+OxLDXAOhZ2Gs5EkHQHKlMD4dqnYh6fIWYF3c+2VYmV5C/72JMXAvhv2kiieGvcyjKzFOpVITcOoVTtbaUHrmOUiNWk7/jBHT0DbUdWrYwcS0AQNTzuzk+tio1hdfH13B/YW+UyUnk6/H7FyW8s5vCrSCqlCRiXmU8M0/b9BWW5G07irB753l1Zpu2w/kiz/3uZHjOVrlRa66eOMjb/9/FJwiC8Ck1atQgT548rF+/nhs3brx/PDo6ml9++QWZTEaXLl3ePx4aGsqDBw8IDQ1N10+vXr0AGDNmDElJ/1ykOnr0KAcPHqRy5cp4e2e+VKFEIqFHjx7ExMQwadKkdNumTZtGeHg4PXr0SPebuWvXrshkMqZMmZKuzMndu3dZvXo1Hh4eVK9e/YtjGTlyJEZGRgwYMIC4uLhMH5O6xExvQRCEHCLT1aPuoF8o6tuGo39NZcv4nli5elHMty0FqjdGX577ymK8fRMEgKOzu5YjSSPT1aWQBhPLBUuWo2BJsViR8G2KeXoDia4+eibW2g5FEDTKLH8lDGzcCTy2Cu8uv36yrczIFJfGPxJx/yzhd09hV1G7ZSv+KzUxnldnthP24CKGVo7EvvYnNSEGU7cC2g4tRxhY2KFrbE70i3tYFayYY+MqkxN5sGQg8cH+2FVqi33VjkhluWu27rt4lMkfn+2ekhhHlP9tzPOVVnu9Fk2yKlABh4rNeLLrT8w8i2NsnyfHY8iM2OhIjE0/vLOgWrP27Fw6l5O7NtCs949aiEwQhK+JTCZj6dKl1KlTh0qVKtG2bVsUCgXbt2/n6dOnTJ48OV2yev78+UycOJHx48czYcKE949Xq1aNHj16sHTpUooVK0b9+vUJDg5m06ZNKBQKFi5c+MHYS5cu5cyZMwDcvn37/WMnTpwAoEmTJjRp0uR9++HDh7N7925mzpzJ9evXKVGiBDdv3mT//v0ULVqU4cPTlzL19vZmwoQJjBkzhsKFC9OiRQtiY2PZsGEDycnJLFmyBJnsy1PKMpmMxYsX07t3bwoWLMjAgQMpX748NjY2H5R2+TcXF5cvHgtE0lsQBCHH2XkWoN2MtTy/cZ7r+zZwZPEUTqyYhXe5mth5F8I2jw8WJUqikwtuZU1KTETfwFArP6QEQci8pKgQgs9vw7Z8CySfOIEUhK+RRCrFoVpH/DdNIu71E+T2n17UUtfIDOsyjXl16C/k9l4oPIrnUKQZiw99Scitk8SHvCT09ilS4mMwz1ua6Bf3kcr0KNJvHubeJT7f0TdAIpGgcM1P1PN7OTpuQshz4l8/xqPdL5j55M67tMIeXESqZ4jiIxdAYl77c3fFaOLfvKBgz5lYFdDOcXg0GkDE4+vcWzWOIn3noG+auy+0piQlkpyYiJHiwxKGKUlJJCXEY2799awBIAiCdlWrVo0zZ84wfvx4Nm/eTFJSEgUKFOCXX36hffv2avezePFiChcuzOLFi5k3bx7GxsY0bNiQKVOmZDjL+8yZM6xatSrdY2fPnuXs2bMAuLm5pUt6GxkZceLECSZOnMjWrVs5ceIEdnZ2/PDDD4wfPz5dyZN3Ro8ejZubG3PnzmXhwoXo6elRvnx5Jk2aRKlSpdQ+tn9zd/9nMl1sbCzDhg377D4SiYSUlMyVyxRJb0EQBC2QSCS4FSuPW7HyRIcGc/PQFh5fOMaDMwdITU7igL0zNdr3pUSdpsh0tTPzKCY6ilOH9pC/cAlkutpPwAuCoL744GeoUpKwLFZH26EIQrYw86mIVN+IiPtnPpv0BnD2HUi0/w3e3jiktaR3dMADHu/4nUj/W0j1DJHbuGBdpBouNTpgYGH3+Q6+USau+Qk4tgGVUolEmr3VN1VKJdH+V3l9Yi1IJBja5o472TIS/uAi5l7FP5iBrlIqCTy3kye75mNo5YSJS36e7v0LS59y2f78ZURHT5/8nSdxa+EQLs/oiFfzH7EpXjNXTpgIffGE5zfOAWBk8mHS+/rpI6iUSopVrp3ToQmC8BUrXbo0+/fv/2y7CRMmpJvh/W9SqZSBAwcycOBAtcZcuXIlK1eu/IIowdTUlN9++43ffvtN7X3at2//Rcn7z8lMedeslIQVSW9BEAQtM7GypWK7AVRsN4DUlGSCH9/j5u4VbJk1isNr5lOiVhM8i5XFrWAJdPUN0u37NugVBzcs48HVC4S+DsDC1oES1epSslo9nD3zZTqm6MgIOtUvT0RYCHNX7/5ou+dPHhIVEYanTyGSk5J4+fwJ3gWKZupWJ0EQNMfA0gGAxPAgDKyctRyNIGieREeGqVcpIv3O41C98+fbS6UoPEsQ+fBSDkSXsYdbZpOSEINPx/FYFaqMjp7B53f6Dihc85OaEENcSABGtl++aPbnqFJTSYp6Q/jtE4Re3UtiWCByBy88209B38JB4+NpQkpiHJFPb+Pu2yvd4zGBT3i4aQZRz+9iX74xnk0GEfPqEdd/70PIjWPYFK+plXiN7fNQasQaHm2bw/01Ewi9fYp87cego6v9hWH/7faRbVzalrYguvxfM71TUpI5vn0dO/76jbzFymBm9X0vAC0IgpBdnj59mqPjiayEIHyEsb56b4+YxMzdZpHbaGvVcXXHVXfVcXX70/S4FZw1+Py5V6Zlrcq8ePyAbSv+5MreTRxduwB9A0PK1axPlXpNSYiP49LJQ5zavwNDuTHlavhSqXZDAvwfcmj9Unb+NYdyNerTa+RkLG3tORsQ+flx+WeV+k2rF/M2JK2e954dG5k98SeiI8KxcXTG3Ts/piYKAgOecubIPlJTU9GRyVAplSiVSkxMzShaqgI9fxiNWxYS7xnR9OtU06vZm6sZX7iGxw2JTdZof+qPq9nPv0dB0Wq1C4v+eH3Tb5GJiXpJg+h/PS/Rz24BoG/29d2iHRWlnb+vtsZVKDSbFIpW8/2RmddVbmOarzzPtk4l/M5JtRYglMj0SIlT7/tQ02KDnxP94h4Fu0/HqlAlrcSQFRZqvl7MjdRr9yQo6v1/K1zyI9HRJejiXjwa9UvXLquv04j7Z/HfNAlVajISmR7mBarg1mwERi4Fc+VM5HdSE2KR6urjv2ch4X6XULgVSKv/fnobhtbOVB6xBCvvYgBYW5bE3yUvsU+uYFGlfrp+NP196WGn+MRWBfmG/4b/+QOcWjCa0MOLKd9tzCf787GTqzWutZFm7jh8YGaMjkwXW2c37Fz+qT+++Y9pHNqwjEqNWtO8zz+32qt73pnbfzdq63eeIAjCf7m6av7i9qeIpLcgCEIu5eKZjx+m/IFSqSTgiR8XTxzi+O7NnNizFQAbB2e6/DCW2s07YCj/pwZXcnISZw/9zfJZExjQrCrjF6wDC68vGrtcDV8unzzMw9vXOLpzI/mKlsTVy4fE+DhuXz6LMiUFc0trug8ZTclyVfC7cwMdmQx7J1duXT3Pod1b6N6kKv1GTKJh687o6eWumT6C8C1TJiUQdHI9pvnKY2CduUVfBOFrYFGwKpF+F/DfPAmnqD7YlGvxyURm7Iu7GDnnz8EI00Q9v8eLI2sAMHb6su/j74HM0Bi3Ol15un8p1kWroXDx0VjfQac3IHfwwr5qR4yc8yMzNNFY39lJ39SachN2EHLjGG+uH+P1hT2kxMfgWrcbLtXbY2WefvFzE3s3Yt681FK06eUpV5fEmCjOLfsFu3wlyVO+rrZDek/f0BADIyOmbT6a7vH7l89RqWEruo+ZqaXIBEEQhOwgkt6CIAi5nFQqxdXLB1cvH1r2GMSLxw9QmFti/pFbL3V19ahavzklK9VgyuAujOvViiZjF+BapJzaY7p45GXWun0olUqUqakf1PT+74yRfIWKvf/vEuUq077XEOZPG8Pvk0eyZvEcpi1Yh09h7S4cJgjfi5eH/iIpKgTPDlO0HYogZCuJjgz3FqPQM7Xh5f6FRD+5jmuTYeiaWHzQVpmSRMzz28iMzHMktoSwIN7eO0fQpX1Ev7iPgaUDXi2HYWD+/dbu/hTnGu0JuXWSB+unUHLY8g/qWGdGfPBTYgPukafNBEy9y2ggypwlMzDCvmxD7Ms2BPhkzXNjGxdCHlzJyfA+KV/NlgTdv8KZv8ZjX7A0hooP35PaYGRqTnxMNLFRERgpzABISkzglf9DqjbTXM1aQRAEQT0hISE8f/6cuLg4KleurPH+c36lC0EQBCHTJBIJrl4+H014/5uxwowJC9bjU6wMW8b34vGl4188nlQqzdQilnp6+gwd/yur950nMiyUEb3bkJqa+sX9CIKgvpT4GIJOrSfk4k6c6vQSs7yF74JEKsWpTi88OkwhNtCPu/O7EX73VEYtAUiJDUelVGo8DmVqChGPr/Nk9wIuTe/AhUnNebx9LjK5goI9ZlBm9EYcKzTV+LjfCqmOjHztRhEfEsCzgys10mdc4EMAFJ4lNdKftn1qkUpjW2cSI9+SHB+bgxF9nEQioUzHn0hOiOP1He3V0f+vohWro1KpOLlrIwlxsShTU4mLjiI1NQVjxYcLWwqCIAjZY/fu3RQvXhw7OzvKlClD9erV020PDw+nbt261K1bl9jYzH+3iaS3IAjCN0zfUM6YeSvxKFmFHZMHcO/k3hwd380jL0VKVcDVwxsdHZ0cHVsQvjdP1o3m1eGlmBeqhnXpJtoORxBylFnecuQfsAwT18L4b5zA063TSE3450eSVKaLZ8epAMQ8v63RsaOe3eXiL624MX8AQZf3o3DxIX+XyVSYso8ifX7DqmBFJFLxHfg5xg6euNbqzIuja4kJfJzl/vQtHAFICg/Kcl+5nYlDWn3qyICHWo7kH3Jza0zt3Xh9P/fMQDezsqVWqy5s/mMavav4MKFzQ5RKJfauHty7ck7b4QmCIHwXpk+fTtOmTblx4wYqler9v38zNzdHLpdz+PBh9u3bl+mxRNJbEAThG6erp0/jn+fiU6U+f88cyvFlM0hNybmFD20dHImKDM+x8QThe2VfrRMyI3Oin94gOSZM2+EIQo7TNTIjT9uJuDUbQcSDszxc9VO6xLfCszQyuSlRTzSThFOpVASe28X1P/qjb2ZN8aFLKT9xF/najcamaDVkhsaf70RIx6VWJ3SNTAm+cijLfb272yU+5EWW+8rtzJy90DM25c29i9oOJR27/CUJundZ22Gk03bIWDwKppXce+53hzsXTlKoXBWuHNvPjr9+Y9vCWcz5oSsndqwnMSFey9EKgiB8Wy5evMjo0aORyWTMmTOH0NBQbG1tM2zboUMHVCoVu3fvzvR4IuktCILwHZDqyKg/dAbVe/zMlV2rWda3Phe2/MXtIzt4eO4wCdGR2TJufFwsNy6dw9I64y8yQRA0R+FRgvz9l6BKTeX1iTXaDkcQtEIikWBZrA55u/1GYuhLHq0ZSWpiWuJKIpVikqc4kX4XP5hRpK6Ix9fx2zQD/71/cWfpCB5unol9uYYUHTAfhYvPJ0tQCJ8n1ZFhkbc0YQ+ynryVyRXIjMxJCHmugchyN4lUB2uf0gTfvaDtUNKx9ylJxCt/4iPfajuU96Q6Ogz/cx0A1Zq1p1LDVtRu0w2PgsU4snkVx7atIS4mipXTfqZF1cIs+30qb0OCtRy1IAjCt+H3338H4Oeff2bw4MFYWHx8zYcqVaoAcPly5i+eioUshW+Gsb52Xs6aHjcmMUWj/X0r/rtwYm4bN7e/Dup7WgPQ4Kef8POtzYal8zi1bh4pyWkzvmW6ulSp3ZAKY2ZgZmH52f7UPd4LR4/z+uVz5q/c9sl9NH28EYlJGu3vexMSq97fIzRas89zWHSiRvv7HumaWGBXuS2vDi/FtkIrDCwdtR3SNycmKk6tdsYKuVrtoqLUe90rFPpqtVNX9Df+fpM7eOPVeQYPV/7Ek/Vj8OwwDamuHpbF6/J49Qiin1zNsNbzx56XlPhogk5vIPjMJvRMbVEpU9BTWOPWfCSWRWsTG68EPtzXxESzf7dvhYed4qPbUkuW5/Tigzib6hAQmbX1QAysnUkIDfji/TT9d7NQsz8vO5NMjxFXrgoH54/D2UiJgUlafeqLar7PP/X3+DcrE/XOi62N0s75HKpU4sR80Hl9B5+89T5o521hpFZ/mv4dkKgvQyqV8ujaBY4u/53gwJfER7zF0cmVsbMW45LHiycP7rJn6xo2r1zE+iXz+G3lDoqUVH9R+Iyoe/4sfg8KgvCtOnPmDAADBgz4bFtLS0uMjY159epVpsfTaJbm1q1bHDx4kOfPnxMfH8+yZcveb0tOTiYkJASJRIK9vb0mhxUEQRC+QN4CRZgwZxkqlYqU5GTC3r7h1KE9rF4wi8blvbGwsqVwiTK07j4An0LFkUgkHNmzjbDQN9Rt0gaFmbnaY928ehEnFzfcPb2z8YgEQfg361KNeHVoCZF+5zAo31Lb4QiC1hg5+eDZYQqPVo3Af/MkPNpMwMStMADJMR8vuxXz/A4xL+6QEhdFakIMCaEBxLy4DUhwrNkD24qtRI3ubGTlnh9UKsKePQBzryz1JTMyIzU+SkOR5W55SlZGR6bLsWXTqTd4KhKJ5P22qBf3CTi2HpVKCSol5nlL58jCqqbWdlg5uuJ/8yJFqn6Y9NaW4T1bY+vgTGRYKBuXzcfd2wcvn0LcuX6JAe3rU6ZyTU4f3sNfW49Sv0UHujWuLEqdCIIgaMCbN28wMTHByspKrfa6urrExMRkejyNJL0jIyPp1q0bO3fuBNLq20kkkg+S3kWKFCE8PJyHDx+SJ08eTQwtCIIgZJJEIkFXTw9beydadu5DtXpNuHDyEEGvAji6dzt9WtbC3NIaU3MLnj32A2DHuqWsP6R+LdSw0DfY2jtl1yEIgpCBhDfPQKXEyMlH26EIgtaZuBXBo+0EHq8by/Nds3Gq0+f/Wz4sb6JMSiDkyh5e7l+AVN8IXSNTdAyM0VVY4dJgMKZ5y6GnUO9HmpB5Zk4e6OjqE/r0HoZZTXobGBMX+UZDkeVuJpa21O4/kX1zRuJapBwFqjV6vy3k+lHe3juPaZ7CRL+4R0pCXI4kvQFMLKyJj4nOkbHUlZSUwOuXz6nZoAW3rp4nNiaa/iMnk5KczPCerTi4cyP6BoZM/qkPPYeOAcDvzg1KV6yu5cgFQRC+bnK5nJiYGJRKJdLPlISLiooiIiICa2vrTI+X5aJzKSkp+Pr6snPnTuRyOfXr18fAwOCDdnK5nG7duqFUKt8nxwVBEITcw8rGjgYtO9FjyGjW7L/I7OXbaNymC6UqVMPdOy159urFUyLD1a/LaGJqRtjbkOwKWRCEDEh0/j+nIXMliwXhm2PqXRb3ZiN5e+MQj1YPB6kOodcOoExJRqVMJerxZcJuHuXhymG83L8Aq1INKTp6NwV/WItP30V4tp+MdamGIuGdQ6Q6MixcvAn1v5flvpJjI5Eg+XzDb0Shmk0xs3Mm+En65y45NgpjBw+K9PkNmaEJhpaOJEaEkBSd/Ysex0aGY2z28Zqt2vDz1Pno6RtgZmHJjxN/49Vzf14+e4KZhSVzVu1g3Owl/L56F08fP2DmmMHYOTqzZM5kQoIDtR26IAjCV83b25vU1FRu3br12bbbtm1DpVJRpEiRTI+X5Zney5Yt4/z583h4eHDy5EkcHBywt7fnzZsPr6g3b96cX3/9lf379zN06NCsDi0IgiBkE5lMRqkK1ShVoRoAMdFR9GpRg5fPnnDv5lWc7Our1Y+5hRWhb3Ln4j8xUZFcPnkIexd38hYuke42YEH4mhnauiOR6RH78j7GrgW1HY4g5AoWRWqgZ2HPi91zQZlKzNMbXJ9YB4mOLqrUtPUtJLr6eHWemWGtbyFn2eUvid/RrdjV64eukWmm+kgMCyTS7zwuDQdrOLrcLTEuGkMTs3SPJcdFIZMrUClTSQgP5vX5Xbw+vwsAy4IVMeswGEu3fNkST2xUOHKF2Wfb5SSXPF70HT6R338Zwf1bVzE1s8Arf1rpIyNjBTUbNAdgxe7TzB7/I1fPn0Smq8fwnq3R1dVDpqtL3aZtaNS6ixaPQhAE4evTsGFDLl26xPTp09m4ceNH2z1+/JiRI0cikUho0qRJpsfL8kzv9evXI5FImDNnDg4ODp9sW6xYMaRSKffuZf2qvSAIgpBzjE0ULN95koo1fBnZpy1/zJyISvXpaaQqlYpdm9dgbvn5hTFzWlREGKN7NGfO6IEM79iAVXMnv98WHvqGIzs3oFQqtRihIGSeREeGkWNeoh5fRiVex4LwnrFzfvL2mIvM2AJDOw/cmo3AsXZP8vaaT7Gx+ygycrvGEt7KlGRSE2I/+10pZKxQg86oVEqeHVyR6T7eXNiOjqExlkVqaTCy3E2lVJIQE4Xhf5LMSVGh6MoVSKQ6FBv4JwW7T6dQr1nkbTOSuKBn7BzZkmNzh5GSqNm61UqlkrioCIxM1V8PJqc0a9+Dmg1acPfGFcpVq4OOzod1+p1c8/Dbiu2Mm72EgsVK88TvLvqGhsiNjPltwjAe3vv8TEVBEAThHwMHDsTGxoYtW7bQtWtXHjx4kG67v78/U6dOpVSpUoSEhODm5ka3bt0yPV6Wk963b99GIpFQu3btz7bV1dXF1NSUt2/VvzVeEARByB0MDOVMnr+aXj+OY8WC2fy9df0n279++YKgwJcMHD4hZwJU073rlxjVtSlvgwOZs/EQ5WvWZ/faJSQlJhD08jk/dajPvHE/cP7IXm2HKgiZZlWiPlGPr/Bsx0xthyIIuUZqUjxht46hTE5E4VUKy2J1sC3fAmPn/Ej1DNDRM8zyGCqVitAre7k5rTE3pjTk2YHlGoj8+2NoakmRxj0IPLuDuJCXmerj7c0jWBX3Rar3YenNb1VyUgIqpZLU5OT3j8W/fU30i/uYe6dd0DF1L4RVoUpY5i+HfdmGlPp5HZV6T+LZ5aPcP7JZo/EkxEShUioxMs1d5U0gbW2bkdP+oEWn3rTu0o/dm1ZyaPeWDyY9SCQSajZozq9LNuFdoAjBgQGMmrEAMwsrtqxapKXoBUEQvk4KhYJdu3ahUChYvXo1BQoUeF8pxNjYGC8vL8aOHUtkZCSWlpZs374dfX39TI+X5fImsbGxmJiYoKenp1b7pKQkZDKNrJ8pCJki1//wKn5G4hJTszmSjBnri/fHt0zd15+67bRh6LARBD59xJTRg5HpyvBt0jrDdgmJCUBasvxz1H3dxySmqB/of/eNimD57Ikc2bEBz/yFGb9gPW9jYjh3ZC+123QjFilnTx3hTWAALl75WfPnTMxdPZHp6mJp54g0gxlAmWWur953ZnhiklrtrI101WoXEpv8+UbZIDw2USvjfm9MTP45ITSp3JCUt095eWoLtoXKY5qnMAbmtl/UX3S0dv5uCoV6J7ZRUdqJz1jx+c80IXcK2DOPt9cPYmDjjk2ZJlnq6937TaVUkhwXRbjfJcL9LhP14j5xQU+xK9OAoIt7iA8J0EDk36cCvh24fWAjDzfPoEjfuUikH/8e/vfn3zuq5ARMbOwy3KYpHnYKtdpZmaj3vZ/fJqsXXgwpWa0e13Yso1WHjuSv4MyuZTvQN5TzQ+/2GMiNMt6tsjuS13e5uXcVPXv1Qi+DNboA7r1Rbya4t0XaOBdungYgn7P9+8f+zUzN8yFN/z56dz6pp6fPoNHTAOjXti7xcbGsX/I7hUuUBaBWo5YUKl4GgIiwt7TvOZjJP/XhwI6N1G/Rkb83r8qWuznE70FBEL5lZcqU4caNGwwbNowdO3a8v9gYFxcH8L6kyezZs3F3d8/SWFn+NLWysiIoKIjY2FiMjD7yJfp/jx49IjY2Fg8Pj6wOKwiCIGjR2Ol/IJFKGTOkJ8GBr+jS94cPamLv3bYBAwNDnF2z9kWVWQ9uXmXfphWYW1ojN1Gwd8NykhIT6Dd2JrWbd2BQ82q8eOKHjkyXEtXq8fj2NZ7cvg5A8Wp12LX0d0a2TKtp7uZTiB9+W46Z1ZclDQVBm9zr9ybqxX3ur5mARKqDR+OBOFZuIerXC98t24qtiX/zjLhXfgQeW4lro6H/LPyqBlVqCokRQcS98uPhhW3EhQSQmhgH/096GTt6YepeCI+G/bAsUJ5wv8tffLFJ+IdMz4B87Udzc8FgXhxdh2utTtoO6avQtNdQRretxfVThylTqyFn922jZPV6H094/1+DLv05vWcLJ3dtoFbrrlmKQaVSsXPVQlbNnUzRclXIW0T7dfKnjBqCT6GiNGvbJcPtvs3bs23NX9g5OnP35hWeP3lIamoKhYqXIehVAGMHdsbv7g0AFs2aQPteQ4gIC+XZ4wcUKlgo5w5EEAThG+Dq6sqWLVsIDw/n/PnzBAYGkpqaip2dHeXLl8fa2loj42Q56V2qVCn+/vtv9u7dS6tWrT7Zds6cOQBUqFAhq8MKgiAIWqSrp8eEXxcgkUj4Y+YE7BydqNc4/XdAXFwMxgpTFGY5V8cx6FUAk4f34YnfXWKjowCwd3EnPCSYYuWr0evnKVja2AFQolINXjzxw7NQcRaPHUTYm9coLKyo1rwDtVp2oXy9pkSEBBMTGcGaX8cysUtjhs5dibOn5hd6Sk5O4tnDexjKjXFy99R4/8L3SUdPn2KDFpAUFUrAsQ083jGXiCfX8Ww6WCTihO+SoY0b+XrNJ/TKXl78PRdj18JYFa/7yX1USiUxz28Tduso4XdPkhofDYC5d0lca3dBZmiMzNAEhWv+dO8rZWoKiRHBGFo7ZesxfevMvUrgWLEZL09swrlaW6Qy9e5sgv9fi/gOL/I9vZ9WZ9qjQFGe3L5G8IundBk59bP72Tq7Ua5uE3Ytm0eJavWw+P/50peKCg1i+m9DOX90L827D6TDgJEZ1svOSVcvnGHb+uUUK13+o0lvE1MzLKxsmL5oAzcun2NY9xa8DQnm9JG9zJ82hsTEBIwVptjYOeL/8B7r/poLwK2rF0XSWxAEIZPMzc3x9fXNtv6znPTu0qULu3fvZty4cVSuXBk7u4y/HH/99VcWLVqERCLJUhFyQRAEIXeQSCTYOzoDcPv65Q+S3u269WPPtg2sWDiHH0ZNzqgLjbp15QKjB3TEUG5Eyx6D0dPXp1j5aji6ZXx3UYeBI9mxcgF+1y9SpnYjqjfviHeRku/LmBibmWPr5AaAe/4izBrYgWW//ESfX+YhkUpITU4m8m0IEaFviI4Io0jF6u/bvxPy6gWXju4lITaWhLgYEuLjSEqIR0elJCjgOU/u36JS3SacPrDz/T7zth7HzdsnO54i4TskkUjQN7XGs+kgFO4Febx9Ljf+6E/JEauR6YsyHcL3RyLVwbp0I6IeX+bVob+Q23sit/dEpVKR+PYlUY+vEPPiLslRISRFhpAcHYoqNQU9M1usSzXEJE9xDCwdsXR2+fRA/5/9LZGKMgVZZV++Ca9Ob+PtvXNYF66i/o4qFRK+v6T3iR3rKVi2MtaOLuxdvRALWwfylSin1r5tB4/h/pVzzB/ZhxZ9f8LJMx8Kc/UWJE+Kj+Xi1qVc2rEcIyNjRs5eSvlaDbJyKBqhUqn4Y+YEJBIJ929dJzk5GTJ4XYSHhmBsYsq6v35n2bxppCQnce74Qc4dPwiAT+ES3L91lZioSABGTJlH6JsgipepmJOHIwiCIHyBLJ+FNWnShPr167N3715KlixJhw4dSEhIq+O6ZcsWbt++zZYtW3j48CEAbdq0oXLlylkdVhAEQcgFWnfuxeK507Cw/PD2I2fXPLTq2JNNq/+iQ48BWGdyxpC6fps4DEcXN6Yv2ghGJp/f4V81GMvWbkS+/9dszIiFjR0VfJuxef50RjT/8Ae3VEeH7Ytm02viHIpXSVvYWZmaypYFM7l4aDeWdo4YyI0wkBuRmBDPy8f/rFJ948JJAHqPmsriqaNQKrWznoDw7bMpWh1jRy8uTWnD27vnsC1eU9shCYLWuDYexqM1I/FbOhgDaxeSY8JJjnyDREeG3DEv+ub2GLsURNfUGrm9J0bOBb6oNFDE42sA6Cly3wJ+Xxtj+zyYuPgQdHGvWknvhPBgwv0uoVKmfpczvV8/f0zd9r1ISkzg4uG/qdGiE1KpVK19FRZWDJi+iNmDOjGjX1sgbQZ4rwlz8Cxc4qP7PTi9nyOLp5AQE0mppl0ZMmQYcmM1zsVywPGDe7h17RLObnkIeOZPZHgYBqYfJvKNFaa8ePqI5fOm4eaRl+iocIID0xZR1dM3wMunEG27D2Dc4LTSLw9uX+fHibNz9FgEQRCEL6ORqQcbN26kQ4cO7Nq1i19//fX9423atAF4v7hD06ZNWbZsmSaGFARBEHKBiLAwAAoVK0VgwHP2795C2y59kBsZA9ChxwD2bN9A/45N+GvjXszUnC30pWJjonj66D4jpszDzMKSCDUWgFw2K23Wj0ql4smd6++T1R9Tu213vIqWQpmSilKZio5MhqmlDWZWNqiUSpZM/JHfh/XA1tkNezdP3ga9IuDRfZr0HELTXkPf9xMV/paRzatgZedIow69+GP8DxiZmHLv2iWAXPMjUfg2ya2dkdu58fLkJszyFEHfTDP18gThayMzMsW7yyxen1pHanw0Uj05ijzFMHYrgo5+VhcThBdH1mCapzDmeUtrIFrBrnR9Hm2fQ1JMOHrGHy+blpqUyI35A0h4G4iusTlyW7ecCzKXsLRzIiw4kBunjxAXHUV532ZftL9noeLMP3yD4JfPePXEjwPrlzK1V0vaDBmDY7U2H1z8uX14O/t+H4V3uVpU7zkSUxvHXHMu4//Yj5EDOgPw6sUzfhw7DSsb2wwXRq/TuBUGhnIq1qjHqH4dyFuw6Pukt1KZiqOrOw4u/6xTk5qa+cXVBUEQvndBQUEsX76cM2fO8PLlS2JjYz+6MLBEIuHJkyeZGkei0uByw3v37mXp0qWcPXuW0NBQAExNTalQoQK9evWiUaNGmhrqqxEVFYWpqSmRkZEoFOqt7i1kjl9QnLZDEITvTmJCAr6VixMZEY65hSUBz5/i7VOA3ccuvW/z5OEDOjarg4WlNUs37MLOwfGDfuIS089uVqlUXzSj7uLZE/Rt34itRy6TxzNvhj9m/u321Qv0b+fLD+N+5W1IEKsXzubPDfsp9JHZ3uok0VUqFWcO7uLh7eu8ePIQqVRC694/kq/IhzOjTh/Yya/D+/zzgESCjb0TeQsX54cp85Hpql+z9EuEq3EcACGxyRodNyRWvR+GodHqxaeu8NhEjfYXFq3Z/rQl8ult7iwfRUp8DD7tRmOTxRnf0bn8eYmK0k58CoW+VsYVMmZiknN/j9TEeM6Mqotnk0E4VmqeY+NmhoWaz4u5kWafPysTPbXaPQpKq6GeEBXGvqF1KdbxZ9yrNP2g3bvP52cHlvP88CpKDV+NoY0LT3b/iUW+0lh84cUHdZ+X8h7qrVvibfHpRSQ1aXyfNujq6mFibsHjOzf4Y/uJz+5jpv/xv0dKcjILZo5j6+rFjJ6xkDpNWr/fdmj3FqYM70ODlh35ceJv72eUG+trv6zP25A3dG5ag8CXzwH4Y8VWKlT79ASHlJQU+ndqyqP7t1mz+wQhwUH0bF2PanUaMnnOEiRSKYvnTqNMxaoEvQqgVPkq2Dk4IdfXbs3y70VeO1GWLbtpO3/1bvyG80+ga2ic4+Mnx8fw94CqIn+XzXbs2EHnzp0/m+h+t00ikZCamrm7odW7z0lN9evXZ8eOHbx584akpCTi4+MJDw9nz54932XCWxAE4Vunb2DAmu0Hadm+CwHPnwLw8P5dfuzXhXu3bwDg4Z2PtTsPExcbw/gRg3nxzP+j/SmVSn6bPIpyeW0o72NHg4qF2LZ+BY8e3P3oPgkJ8Vw6cwIAtzxeasUtN047iTE0MqJijbSFM5KTspZwlUgkVKrbhO4/TWTiog2MX7A+w4Q3QKW6TZiz8RA/Tl9Ip8GjyZO3IKFBr7C0sRflTYRsZ+peiDKjNmBdpCr31k4i5OYJbYckCN+USP9bqFJTMPMuqe1QvhkGCgus8xbn1dWjH22TFB3Gi6NrcKzYHLmtK7GBj3l5fAO3Fv3Ii6PrPvrD+luSnJyE362reBYoglxurJFjlunqUqRUeQDy5M0PpF3o/3vzKqaO6Eu9pm3TJbxzgxdPH9O9VZ33Ce/Zi9d/NuENEBQYwOVzJ6lSqz6Ozm5sWbsUKxs7Js9Zgp6+Prq6ugz4aRx5PPMxflhfmlUvwZJ5M0iIj8/uQxIEQfgm3Lt3j3bt2hETE4Ovry8LFiwA0iZML126lMmTJ1O1alVUKhVWVlbMnz+f5cuXZ3q8bLsEK5PJkMm0f4VXEARByF4OTs6MGD+NfPkL4eHtw8VzJ9m8ZjnNalegXdfejJo0kzye3qzddZie7ZrQqXlddh65gJGxCbr/n9Ec+PIFuzav5vCeHbx49oSOPQexb+cmAl8+Z+roIahUKoqWKsf0P1ZgY+fwfuwXz57Qv2NTXgU8I2/+wmr/4PLIm5/y1eqwdtEc8hUqhompGYVLqrfIk6Z45C+MR/7CADTt3Jedqxexbv4MzK1saNqlX47GInx/ZIbG+LQfgyo1hQfrJ2Pk4IHc2lnbYQnCNyH80RX0FJbIbT6z2KXwRRxL1uTm+l9JjIlA39jsg+3JcdGAhJBbJ3Fv0JuwB5eQ6hngWKkF/n8vIDHiDV7Nf8jxuHPSnSvniYuJpnTVOlw9c4zAF0+Z2K8dtk6udB06Dn2DzJXu2bt1LfmLlMDLpxBxMdHMnjCMw39voXGbrgwZNzNXJbyvXTrH0J5tiIqMAKBjr0FUq6PegppOLu4MHTOV3yaPQqVScXD3VoZP/BU9/fQz/41N0iZPeObNz5I/ZnLy0B62HTr7RXcpCoLwcWZyffTkOX/HXJIk7W7XUqVKoaOjQ//+/enfv3+Ox/EtmzNnDomJiXTo0IHVq1cD0K9fPwwNDenWrRsAo0aNYv/+/bRs2ZJVq1Zx5syZTI+Xe76dBEEQhK9a45btKFikGN37DmHvqWuMmTKbjauWsGXdCgAcHJ2ZNPMPggJfUTa/M7XLFmT7pjXMnDSK5jVKsmHFYgoVK8W4GX9y8+oFUlNTqFW/KVuPXGLWonUEBb6kS/Na3LuVtjjYw/t36N6iDrq6umzcd5b1e09/Ubwd+wzlxdNHHNq9mXrN2mn1Qq2OTEbzbgPwKVaaBzevai0O4fsikeqQt81I9BRW3Fs1Lm3RN0EQskSZmkLw1UNYFqwoEmAa5lC8KiqVkpcXD6Z7PC4smKtzenJ5WjtUqSkYO3iASkXYgwuYeRbHo2FfPJsN4dXprYT5XfpI79+GKycPY23viHveAlSo1YAqvk3R1TfgwOZVHNu9OdP9WlrbEhjwnJtXztOzeQ3OHN3P2Fl/8ePE2ejo5J7SHs+ePKJHq7rvE95d+/3IoBETv6iPDj0G0KHHAHZvWUuNeo1p2qbL+23+j/1oVacsTaoVA8C3aWsmzVrEvTs3CXkTpKnDEARByy5fvsy9e/dEwjsbnDhxAolEws8///zJdvXq1WP27NlcvnyZuXPnZnq8L6rpferUqUwP9F+VK1fWWF+5mbZrIn1PRE1vQchd3oa+oWLhPDRq0ZYZ85YAkJqayrYNq3lw9xa7tm4gNiYaM3NLmrbpTPcBw0hKSqRfx6bExUZTo14T9m7fQGR4GGt2n8DYRMGwPu0JCw1BbmRM8OtXOLt58Oeq7ZhbWqUb+3M1vd8Jfv0SE4XZ+4U3P0admt6asGL2RA7v2ECpKrVw9cxHw/Y90NXT3CwHUdM7a76Vmt7/9fbeOW7/9ROlf16P3Nb1i/cXNb0zJmp65y45VdM7+NoR7q8eT8kRazC2z5MjY2bF11LT+50rS8cRcOkQZfrNwKFoFQCurZ7CqyvH8Ww2BAufsujKTUhJjOPsqHp4NBmIU6UWqFQqbi4cQnxIAKVGrEFm8Oka219rTe/hnRpi6+jCj9P+TPf49B978Pzhff7cdTrDWdmfqukNEBIcSPs6pUmIj8MzX0Emzl2Os7vnR9tro6Z3cnIyZbzSFkw3NlEwc8Fqylaqnqm+lEolZ04c5uDuLYQEBzFvxRZ0dfWYMmowJ4/so0X7bhgaGtGgeTviYqNpUq04yzbupkKVGpo8JOE/RE3v7Kft/NW78TsuP4+ePOdreifFxbCmWzmRv8tGcrmc1NRUEhP/OT/X0dHBzMyMt2/fpmsbFxeHqakphQsX5urVzE0M+6Jvo6pVq2pkxoJEIiElRax2LAiC8C0zMjLBp2ARdm1ZT3RUJPFxsTg4uVCoaEl6DviRUb/8SmxMNKZm5kRExfH7tLHs372F1JRU5q/aRqFipegx8Cfa+lagVZ2y/LFyGyu2HubimeOcP3UUXX19uvcfhonCNNMx2to7afCIs65czfrcuXqe1y+ecmr/Dg5uW0vXoeMoU62umDEoZBtjp7wAxAY/y1TSWxCEf7w6tQUzrxJfRcL7a1S8yzhSkhK4uGAEpftMQ+GQh+dn/sa9fi9sS9R63y7i0TVUqSlY5EtboFoikZC39QguTW1L4LmduFRvr61DyFYBT/x4cOMyljZ2dBo8+n2Cu0mnPgzv2IArp45Quurna1v/l7WtAz+M/5Vnj/3oNnBEpsukZKflf84CwMbOgQ37zmJuYZmpfhITEti/azMLf5tCQnw8yUmJ9G7bgNevAgh9E0TvIT/Te8g/MxSVSmsMDAx5eP+uSHoLgiB8hp6e3ge/a42NjYmMjCQlJSXd3ddyuRwTExOePHmS6fG++BKsJhbD+B4WEREEQfjeGRgasnrbfjatXc6vk0YD4OruwY5Na1EqlZStWIUVm/eiUqk4fmgPG1YuokpNX8ZMm4eltQ0AhoZyylepyYunT0iIj0NXT4+K1etQsXodbR5atslXpCSz1x8A4MUTP5bOHMfUIV0pWLIcw2YswsLaVssRCt8iPRMLdI3NiXh8HevCVbQdjiB8taKe3yPq2R0Kdp+u7VC+WVKZjNK9pnJ56VguLRqJTM8QQ3NbHCo0TdcuJvAxMrkJhlb/XNw2tHTAtmRdXp7YhFPllkhl6s02/5roG8qJjY5i+4o/iY2Oou+YGUilUvIVKYmTuxdXTmcu6Q1Qr2lbDUerWTXqNcbe0YWGLdpleqLA1QtnGN6/ExFhb6lWpyE/jZ/B5fOnWPTbVGr6Nsa3SWsK/GeRcqlUiod3Ph4/vK+JwxAEQfimOTg44OfnR3x8PIaGaRdQ3dzcuHPnDjdv3qREiX8+Y8PDw4mIiMDAwCDT431R0lupVGb4+N9//03nzp2xtLRk+PDhVK9eHScnJyQSCS9fvuTo0aPMmjWLkJAQVq9eTYMG6i0kIQhC7mOkr17dvthEURtWSLu9tHvfITRr1YETRw/QtFUHgoNec/zQPiaMGESTmmWJi43lr3U7sLa1IyQ4EAtzE+T/ep3l8ymAVCqldJmy6R7P0eNQ8zZddcuqqMMsfyF+X7Gdi6eOMHPMECb2ac3vq//GLJMzl+Dzty+/Y66v2TIj3hbqtVO3/Iq2qFv2RdPlXJ4ERanVLrMkEgn25Rrx8uQm7Er7YuLk/UX7q1s2QltlUNQtM6JuGRR1+9P086Lp8hza+nvkVJkRbXh+eDWGNi5YFiiv7VByfdkSdXnZmWT8+Ni5HF44iZSkRGr0HEUM6Wcepzg58Sw+BndrOToy3fePW7bqybZhe1E+PIlX9eYfHddHzTIK6pYtUff7V10fK7tWuHRFTuzZSvsBI1j/50yUOjq0/3EiEokEt/xFeHDneobftZqOTxs88+ancOFCmd5fpVIxd+ponJxd2bD7KG55PDl98iRTRw2hWbuuDB45CV29jJ8ndw8vnj5+lOmxBUEQvhc+Pj74+fnx6NEjChcuDECFChW4ffs2s2bNYsOGDe/bjhkzBoC8efNmerwsL2R57do1WrVqReHChbl16xY9e/bEw8MDfX199PT0yJMnDz179uTmzZsULlyYli1bcuPGjawOKwiCIHxFzC2taNqqAwC2dva06dSd7v2G4HfvDgHPn3L9ygV8ChTm3u0bbN+4Jt2+DZq2RF/fgKnjhpOUmLtrB2uaRCKhbJVazFm5g/C3ofzUoyXxcbHaDkv4BrnUaI/c1pVbC38g9rW/tsMRhK9OTOBj3t45jWvNjkikuWdhv2+VVEdGnQGTqD90BgYmH5Y5M7F2AJWK2ND0iwuaOebBzMGdwDsXcyrUHNVn9HTGzl9D614/0HfsTA5vWsmOv34DwD1/EQIe3icqLFTLUeZOF86c4O6t63TvN4TF836lRd1KDOvTHjtHZzavWUK3lrUJf5v+uQsLDSEyIgwnFzcCX73QUuSCIAhfj/r166NSqdi2bdv7x/r06YNUKmXz5s0ULFiQ9u3bU7hwYRYtWoREIqFbt26ZHi/LSe/p06eTlJTEokWL3k9Nz4iBgQELFy4kMTGR6dPFLX+CIAjfu5/GTuF+YAwubnkYNaQPp44doueAoTRr0zFdO2MTBdPm/cX1yxeYOWnUd1kiy9XDm6kL1uJ39wY3Lp/TdjjCN0hmYESRPnPRM7Xi6pyePN2/lJREsUC0IKjr+eHVGFjYY1Mic6UjBM0ytnYAICbk1QfbzBw9SIgOz+mQcoTcyJhSldNqm9dt0ZEmPYewe9k8IkKDKV61DsZm5szo346YiG/r+JMSE4mOjMjSOeKW9SuRy42YPWUcR/b/jbdPAarVachfG/bSa/BI7t68xotn/9SVffbkES1ql+bngV2xsLQi9E3wd3mOKgiC8CUaNmxI586d09XuLly4MHPnzkUqlXLv3j02bNjAnTt3UKlUtGnThoEDB2Z6vCwvq3zmzBkUCgX58uX7bFsfHx9MTU05depUVocVBEEQvgESiYSFq7bwKuA5rnk8cXX3yLBd3QZNkSBhcM/2ODq70rXPoByOVPs88hYAYMW86USFh1GnSWstRyR8a3SNFBQbtIDnh1fz4ug6As/twqZYDfLU742Ofu5btEwQcovY4OeE3DiGd4thSHWy/PNK0AAjSzuQSIjOIOkdGfQM27zFtRBVzqvVuht/r/iTo1vW0LzvMEYs2MC0Pq0Z37kBBUpVoEDpipSp3UjbYWaJ/2M/ujarRXRUBCXLVmTR6i0Ymyi+uJ9CRUqwb+dW3E3NWL7pb5xd3Yn7f7nGzauXUKNeY4qUSFsYNTzsLf06NSExIYGLZ04QFxNNgcLFxKLjgiAIn2Ftbc2KFSs+eHzAgAHUrFmTrVu3EhAQgKmpKXXr1qV69epZGi/LM73Dw8NJSEj4aL3vf1MqlSQkJBAe/m1dWRYEQRAyz8M7H5Vr1PlowvudOg2a0KlHP+bOmEhysnq1lb8lBoZyOvT+AUO5EVNG9GXl/JliRpGgcTIDIzwa9qX0z+uxKVaDoIt7uLV4KCkJoqyOIHzMk11/oG9mi10ZX22HIvyfjq4elq75eHhiJ6p//U5NjI0iKigAUzsXLUaXc4xNzfDt1Ifdy+dxcP1SHPN48/OiTfiUKIf/vZssGD3gffmTr5FSqWTyyIGYW1oyfuYC/O7dpnvbxsTERH9xXx179GP+8o1s2H0UZ1f3dNssrWxITflnvY7wsFCCXgXQf9hYdHX1uHX9Ck1atc/y8QiCIHzP8uXLx5gxY1i8eDEzZ87McsIbNDDT29HRkadPn7Jz506aNWv2ybY7d+4kMTGRPHnyZHVYQRAE4TtUp0FTVi9dgP9jP/L6FNR2ODlKIpHQa+hYVCoVaxb9xtK5U3gbEszgsTPS3R72TkpyMkgkGW4ThM8xtLTHq9kQbIrX5PbiYdz8cxAFe85EX5H5hVSzk0qlIjEskGj/6ySEPCPxbSCJEcGgUr5rgEqlRKVMxSxvOZzq9RV1lwWNeHv3HGH3zlOg6xSksq9/McBvSemOw9j/S3cendqFhWteAm9f4N6B9Uh1dHAsrP3FRnNK8z7DSIyPY9Mf0yhetQ6OebzpMW4WAHtW/smWP2eQHB5KjyGjsbS21XK0X2bz6r+4ceUCSzbtp0SZChQsVIhWvpU5uGcHzdt0+qK+ZDIZNes1zHBb49YdmT1pJA/v38HbpyB5PPNSsmwlDu/dQZVavpw4vJd6jT6+MKogCIKgHVn+Jdy0aVNmz55Nr169sLCwoGrVqhm2O3XqFL169UIikdC0adOsDisIgiB8h/LmT0t0P7hz67tLer8jkUjo1PdHLK1tmTXuB65dOI13gcK4eeZDKpVy4sAu3rx+RWREGAaGcgqVKEOx0hUpWroC+QoVF0lw4YuYuhWkSP953Fr8I5entcej8QDsytTPFbdwq1Qq4gIf8fb6ASL9zpMUEQxSKQYWTuhbOmDiXhiJju779hKpDGVKIm8u7SQpKhT3lqNEklLIEmVKEo93zsPMuyRWhatoOxzhPxwKlCZP+XqcXjQOAJm+IU5FKlCm03CMrey1HF3OkUgktOj7E2f+3sKpXZto3nfY+20NuvTHQG7M7iVzuHXlAvPW/v3VJL63rlvOrEkjad25FyXKVACgUNHiWNnYsnHVUmxs7KhQtSZSaZZvbse3SSvWLf2Ttr4VqN2gGT0GDqdyzXr8NnkUa3Ydp2mrdpiZW2R5HEEQhO9FREQEgYGBREen3ZljYmKCg4MDZmZmGh1HosrivdEREREULVqUFy9eIJFIqFChAtWrV8fR0RGJRMLLly85fvw4Z86cQaVS4eLiwo0bNzR+ILlVVFQUpqamREZGolB8eW0xQX1+QWLBLUH41h06sI9BXVsy5fel1GvcStvhZFpMYsrnG6nhxqWzHNmzjWePH/D08QOiIyOwtrWnSbvumFtaExURzo3LZ7l15TxxsTGYmltSqaYvlWs1oHi5yujp6WskjtwqIjFJo/2Fq9nfvTfxarULjVavvydBUWq1y07JsZE83jmP4MsHMPMuiU/7seibWmkllsTIUIKvHiLo0j7igp6ip7DEumh1LPKWxtSjCDIDo3Tto6MT0/3/iPtn8d88CRP3Ynh2nPbFCXwTk2/7fZNZ/32eP+Zbev5eHF2H/97FlPppJUb2Gd/JaqHh4zU3Uq8/K5PcfUHH2ki9C7DWRrqfb/QJUeFvOf33ZjwKFMOjUDF01fzeM9dX7/kzU7NdViUmJvDE7y5yI2NMzSwIlxmo9dkVEptWDk6pVDLatzB1ug6hauseH7RThr9iaq+WyI1N+HnxFhTmGd/V464wViteY/3su8CuUqn46/fpLJ47jbZd+vDjuOnvE9tyfR1OHT3I3OkTuXfnJo7OrjRq3oaGzduQx9P7i8cy0v/njqDExEQ2r1/Nn3NmEvjqJXIjI8qUq8jKjTsw0lfvdSrX1+wdRu9qjn8vLIzEHVrZTdv5q3fjd1x+Hj25ep83mpQUF8OabuVE/i6bHD9+nNWrV3Po0CGCgoIybGNnZ0ft2rXp1KkT1apVy/KYWU56Azx79oyWLVty9erVtE7/8wX8bojixYuzZcsW3N3dP+jjW6XtD43viUh6C8K3b+bk8WxZs5QTN5/nipmmmaWppPe/qVQq3oYEI5cbITc2SbctJSUFvzvXOXV4L6cO/c2rF0+xtLZj4tzlFC5ZVuOx5BYi6a15YQ8u8mD9FCRSHQr2mIGJ05cnEVTKVBLCgkiOjUSVmoJMrkBu6/rZ93T829c82T2f0NunkUh1sCpUCbvSvph7l/zk4oEZJWMj/M7zZO1oPDtOxdT7y94D31LSVpO+t6R3QngQl6d3wK5MA7yaDfloO5H0zlhOJb0zK7clvTcs+4OFM8e///96+gZY2jthZe+ElYMTju5eVGvWHplu+njeJb0j3rxmcquKdJ2ymAIVan7Qv7WRLkHP/Zncszl5i5Vm4IzFGcah7aT361cBTBvzA2eOH2Lg8Al06ftDuu+Od0lllUrF9SsX2bFpLQf+3k50VCQz5i2hcct2XzSeUQZJ6qSkJLZtXMueXduZ9tsfuLi6I9dT73hF0jtrRNI7+2k7fyWS3t+myMhI2rdvz/79+wE+uy7Vu891X19f1q5di6mpaabH1si3kZubGxcvXmTbtm1s3LiRK1eu8ObNGwBsbGwoWbIkrVu3pnnz5ujoiA8qQRAEIXOKlCjN8j9nEfDcHxe3Ty98+b2RSCRY2dhluE0mk1GgaCkKFC1Fn2Hj8fe7x5xfhjO4cyMGj55O47Zdv+qLCELOschXhhJDl3F76Qiuz+tH/o7jsSpU6ZP7JMdFEXRpPxGPrxMfEkB86CtUqekXo9UztcbMsxhSmR4G5rZYFa6MkX3aezw64AEhN47x6vQ2dI1M8Wr+AzbFaqArz/yPEVPvssid8hF0ZvMXJ70FQZmSzN2VY5HJTXGr213b4QjfAUvrtO/3qQvWoVIpuffkMSGvXxL6+iVPbl/n1M6NPL59jd6Tfs+wnIehsQIjUwuuHNyRYdIbwM41Dx2GTWTh6AFcP3WYYpVrZesxfQmVSsXmNUv4Y8YEjE0UzFm6iSo16320vUQiwT2PJ2bmFlSuUZu9O7Zo7DxHT0+Ptp260bZTN430JwiC8C1LTk6mevXq3LhxA5VKhbu7O3Xr1qVgwYI4Ojoil8sBiIuL49WrV9y5c4eDBw/i7+/Pvn37qFmzJufPn890iU6NXYKVSqW0bNmSli1baqpLQRAEQUinaMlySKVSrl44I5LemSSRSPDIV4C5K3fy54yx/DZxGH53bzBk3Ez09Q20HZ7wFdA3s6bYoAXcX/cLd5aNxLJABZxrtMcsT5H3bVQqFZH+Nwm6tJ831w6nLSDpWQzzvKVwrNgMQ2sn9BSWSKQyEiOCCXtwiaint1GhIuTmCZ4dWIaBlSOq1FQSw4OQyRU4VmqOa52uyPTlWT4GiUSCXcU2+G+cQOjV/ViVyDh5khT5hvA7Jwi7fRzbCq2xKFQ1y2MLX78nu/8k5uVDig1aiK7c5PM7CEIWFSlVDkO5MTvWL2XawvU4lU5fQ/7y0b38+XM/FBZWtPth3AcJXn25EU2HTGDtxEE8uHiSfGUyrkFfplZDTu3ayK6lv+eapHdqairTxgxl+4YVtOzQnQHDJ2Ci+PysP78Hd1kyfzbuHt7UqteI8lWq50C0giAIwr/98ccfXL9+HYVCwaJFi2jTpo1a+23evJlevXpx7do15s+fz5AhQzI1vljNShAEQfhq6OjoIJPpEhcbo+1QvnoyXV0Gj5mOd4EizB43FAsrG3r+MEbbYQlfCR09Awp0/oXgKwd4cWwdN+b1Q+FeCHOv4ihTkgm5eYKEt4EYWNjjUqsT9mUboq/IuEaskZ0bFvnKvP//ypRkIh5dI/T2KZBKsS5cBVOPop8sYZIZZvkrYVWyAc93/4aOgRGGtu6gUhF8fhuxL+8j0ZER9/IBEpkuqpRkgs9uQpGnGJjYaDQO4evy5sYxXp3aglfzoShc82s7HOE7YWvvxLSF6xjesxUTh/ak66R56Pxr1lupGvXp+NMvrJ45BjMrG+p36vtBH0Wq+rJn0XSe3Lj40aS3RCIhb7EyHNmyKtuO5Uv9+esktm9YwYRfF9KoZXu19lEqlUSEvQWgToMmDBk5/jN7CIIgCNlh48aNSCQSlixZ8kWTpFu1aoVEIqF169asX79eJL0FQRCEb9+5k0dISkqkbCUxW0dT6jVty8O7N9m6ejEBTx8zdMIszCy0s0Ch8HWRSKXYlfbFtmRd3t4/z8vjGwi6tB9lSjKW+ctj13YUpnmKIMngVvtPkcp0sfApg4VPmc83zgKJRIJLg0EkRQThv3HC+8d1DIww86mIMjkJm9KNMfOpQMyLuzzdMpnXJ9Zg3ubHbI1LyL1iAh/jt2EqNsVq4lCxmbbDEb4zxctW4pc/VjGqfwdSJ/1Izwlz0pUyqdGyE5FvQ9j8xzRSkpJo1H1Quv0lEgl2bl4EPXv0yXGMTc2JjghDpVJpvfTZgV1bWLloDsPGTVc74f0y4Dm92jXF/7EfJctWpE6DJtkbpCAIgvBRDx8+RF9fP1NVQVq0aIGBgQEPHz7M9PhZTnqvXr06U/t16tQpq0MLgiAIuZymF9gxUZiip6fPT306sH7fGQwMDDXaf1ZlxwKVOaFzv2FIJBL2bVvH2r/mMmDkZLX20/RCkdoiFqjMGolUilWBClgVqPDJduoudJiTJDoyPDtMJe71I5QpSahSkpE7eCGTp7913tS7DDZlmxN0egMPSMK1ZicMrRw1EkNufF6+RR52WVuQKjbsDX8vHY6ZvRt1B0/B3tpMM4F9IXUXgPze5LaFJ7NLuaq1GfvrYib+2JP45FRa/DgFfcN/Sj5V7DCQRHTYvng2LwMCcGg8FOm/ZoQrLd15emI7Ry7eQ25l//7x8h7m7//7qf8TzG0dCY378JzGXF+z3/ufWvDy3q1rTBo5kHpNWtG9zwC1EvAqlYoJwwcRFxfDxj3HKVqidJbii1XzPNZKSwv0anphTEEQBE1LTU3N9NqOEokEqVSKUqnM9PhZPmvq0qXLF18BlkgkIuktCIIgfLHCJcrg4OyKTFcXXd2v+4drbmJmYcWg0dOQGxmzeeVCug/6GUO5kbbDEoQcIdGRYeTk89l2dpXbggTeXt1LzMuHlBi6FIlUJBy+B8kJcRyeOQCAWsPno2uQ9brygpBZ1X2b8jg8hs0zf+bVw7t0nPAH9nnyAmm/s2t27I+5rQObZozE0v8ppXpNxsA0rbyUZ822vLx0iHO/D6bKz8vRlRt/0H9kaDAKS+scPab/evH0MQO7tsAzb37GTP1d7XzD3p1bOHPiCAtWbclywlsQBEHIOnd3d+7evcvx48epVq3aF+177Ngx4uLiKFSoUKbH/7L7TTPg4uLyyX+mpqaoVCpUKhVyuRwXFxecnZ2zOqwgCILwHZo7ZTRBrwKYPn9lpq8YCx9Xr1k7EuLjuHj6qLZDEYRcR6qrj0P1LhTsNo2Ylw8JPL9b2yEJOUCpTOX4vOFEBT2n1og/MbIQNd0F7StavQFDFu9ER1eXeX2bEfQ0/a3fJWo3pdesVUQF+nN0YjvC/O8AYGBqSfnBvxMfEcK11VMy7Nu9UAkCHtwmNSXn716Lj4/j1rVL9O/UDFMzC+at2KL2RfjEhASmjRtOLd/GVK/tm82RCoIgCOpo1qwZKpWKjh07cunSJbX3u3z5Mp07d0YikdCsWeZLymU56f3s2TOePn360X9hYWH4+fnRsWNHUlNTmTFjBk+fPs3qsIIgCMJ35uKZ42xZu4xBP08ij2debYfzTXJ0ccczX0FOHdqj7VAEIddSuBXAqnAVAs/u1HYoQjZTKZVcWDmNlzfOUH3IbCxdxXePkHvYuHowaME2zGwc2D53PCqVKt12z2JlqTFhHUbWjpydM4jo188AUDi4k7d+V4JunkaZQWLbxjkPqSnJRIYGZ/sxJCclsW/nJkb070yz6iWoVMCBLs1qkpqawp+rd2BmnvECyBmR6uhgbmHFk4cPiImJzsaoBUEQBHUNGzYMV1dXAgMDKVeuHDVr1mT27NkcPHiQO3fu4O/vj7+/P3fu3OHgwYPMnj2bWrVqUa5cOV69eoWbmxvDhg3L9PhZTnqrw8vLi1WrVtGuXTs6derEjRs3cmJYQRAE4RtwaM922jWozA892lCyXGVadeyp7ZC+aZVrNeD8iYMkJYk6w4LwMalJCRiY22o7DCEbJcXHcnTOD9w/tIny3cfgVLSitkMShA/o6hvQbMgE/G9e4uqhHR9sNzC1ovzg3zE0s+Ls3EEkRIYCYJ2vFKlJCVxZNo7EmIh0+9i6eSKRStk+dxwJsdmXPFapVHRpXosxQ3ryJiiQcpVrMGbaPNbsOs6OY9ewd/yyu8N1dXWZt3QdQa9fMfbH/h9cBBAEQRBynrGxMSdOnKBgwYKoVCqOHz/O8OHD8fX1pUiRInh5eeHl5UWRIkXw9fVl+PDhHD16FKVSSaFChTh27BhGRpkvu5kjSe93JkyYQFJSEtOmTcvJYQVBEISv1OtXAUz4qR8mClN6DR7JjPkrkUpz9Kvru1O5dgNiY6K5ev6UtkMRhFxJpVIR8+oRxo6e2g5FyCZRQS/4e2wHAu9cpNZPf5CvRgtthyQIH+VVogLFajRk+5zxXNiz8YNkr57chPJD5qFMSebc70NISYjD3M2Hkj0mEXznPEfGtebu2SPv25vZONBt2hKe3rzM4dXzsy3uVy+ecv/2dabNW86KbYf5acJMmrTuRIEiJdA3MMhUn3m88jJ17iL2797GpjXLNRyxIAiCkBmurq7cuHGDJUuWULFiRSQSyfsy2P/9J5FIqFSpEkuXLuXatWu4urpmaewcXf7byckJMzMzTp48mZPDCoIgCF+pW9cukRAfx5S5S7GyEbMqc4K7lw9Obh4c3r2FUhWqIZPl6KmCIOR6cW9ekBwdholrAW2HImSDpxcOcmbJJAxMzGk0eT1mjnm0HZIgfFaLH6egZ2DI1lmjuX/+OC2GTcHE3Or9drmlHeWH/M6p6T35e1B1dGR6SHR00JWbYGBqxYrRvSlRuwlNh0zEQG6MT5mqlGvSngu7N1Cr80AMMljw8ksc37+TJ353adKuO1Y2dgDcunIeiURC+So1s9T3f9X2bYy1rR0P79/RaL9fIiAgAO88LgwdNpwp02ZoLQ5BEITcQiqV0r17d7p37058fDz3798nMDCQ6Oi0O4pMTExwcHDAx8cHQ0NDjY2bo79kExISiIqKQldXNyeHFQRB+OrEJaZqOwSte/bkEVvWLAUgMTFeq7HEJOb8Yk4AEYlJWhm3asNWrP1jGhfPHKPbj+Op0bh1lvoL19JxqOveG/VeX6HR6h3Hk6CorISTa0RH5+4SN1FR2okv7uYJpLoG6NoXyvXP0ffAw06hVrvKHqaf3B4VFsrqmWO4fHQfJavXo9uYmRiZfHofbTDX19PKuLn9c/x7Y230n9/TRmb0mzCLstVqs3zycBYObMW0LcfwsjP5p41dCdxmb+DFrUsoU1NRKlN4fPE4r+5fp2CNptw+fYin927RdPR8rFw88KnTjpOblnF812ZKNuoEgLeFevH9+/zl8slDTPmxJxKJhPVL/6Bs9bqEvH7F43s3KVC4OCamZll8NtJ75HePkOAgTM3MNdrvOxHhYZw9eZR6jZq/v/sw9D/fBe3btQFg8aIFVKlVn7w+BTAyNkaul7snEsj1xSLxgiBkP0NDQ4oXL07x4sWzfawcvUd8xYoVKJVKHB0dc3LYTLl8+TK+vr6Ym5tjZGRE6dKlWb9+vbbDEgRB+G7cu32Na5fO0rhVR2ztnbQdznelZY9B/Lp2H2YWllw9c1Tb4QhCrhLx4CwKzxJIdfW1HYqgASqViouHdvNzqxo8uHqBflP/ZMD0Rbky4S0In1O8Sm2GL9jAm5fPuXBg5wfbrd3yUqJRR0o17UKZ5j1oM3UlReu15s7RHXiXr41EKmXN0BbcP7WPlKQEbD18eH79XKbjeXTnOjN+6k3pKrVZffw27fr9xKvn/tg4ONNr5BR+W7IxC0ebMU9vH9p368PCuTP4ZfSPJCcnZ9guJSWFqxfPfdGil9cunadR9dL82LcLKxbPy7BNeHgYVy6ep3ylKsTGxNC4ThUa1aqUqWMRBEEQsibLlxpfvHjxye0JCQkEBASwbds2li9fjkQioWnTplkdNludOHGCOnXqoKenR5s2bTA1NWX79u20b9+eZ8+eMWrUKG2HKAiC8M1KTEhg+4YVLJozDWMTU9p27StKbOQwiURC3sLFcXD1IDFeu7PsBSE3SU2IJjbgHlYlG2g7FEEDYiIjWDFlBFeO76dUDV86DZ+MwsLq8zsKQi7m4uVD0Uo12bt6IR1K+iL5xFooOjJdavcbj4WjG0f/morvD9Pxv3KS3TN+eN+mmG/bTMfy9/plWNs58uP0BegbGNKi+0BadB/4fruVQp7pvj9GR0eHsVNm45U3P5NHD8X/0QPmLF6Dmfk/09Tj4mIZ2qczJw7vRy43onaDJlSr5YuDkwt2Dg5YWtmkW0MmJSWFpfN/449Zk0lNTbsbU6aT8bnpxXNnUKlUzJ7/F+bmlmzZsIaxI34gOOg17i5ftjinIAiCkDVZziK4u7ur3ValUlGgQAHGjBmT1WGzTUpKCj169EAikXDq1CmKFSsGwPjx4ylXrhzjx4+nZcuWeHl5aTlSQRCEb0tKSgp/zJzArk2riY6KpEmbzvT/cSwWVtbaDu279OjuDW5dPE2V+s21HYog5BpSXUNkRmbEvryv7VCELHr5xI+5P3YnLiaK/tMWULqmuJAhfDt8O/Zmaq+WBNy5jEvhMp9tX6JRJ17eu8axJdPo+uduivm2RSKVYmRuhZld5hO1wa9e4F2wKPoGmqvP+jnPnz5hyfzZBAW+wsjYhPOnT/BD746s2LwXgJA3QfTt1BL/xw/5df4yXr54zo7Na9m5ed37PnR1ddE3MEQikZCQEE9yUhISiYQadRpw+sRhqtXypVPP/hmO/8z/CfoGBjg4OiOVSslXoCAAMdHqzygXBEH4npw4cYKdO3fi7+8PpOWZGzduTPXq1bPcd5aT3v9dHfpjPDw8aNu2LSNGjMDIyCirw2abY8eO8eTJE7p27fo+4Q1pRdXHjh1LmzZtWLFiBVOnTtVilIIgCN+e6KhI1vw1j1r1m9LvxzG45hEXF7Xl1bMnTOrXHmePvHT7cby2wxGEXEOiI0Oqa4Cxi1jE8mt27eQhFo8bjLWjCyMWbMDaQcy+FL4t3kVLY2XvxP3T+9RKekskEur0n8Dy/g3ZOWUg9YdOx9LZI8txvHkVQOHSFbLcz5eYMGIQD+/fpXipctRv2gobGztKlCkPQExMNO0a1SQhIZ5VW5P5j94AAQAASURBVPdhaCjH2tYOn0JFCHr1khfP/Xnx1J+XAc+wc3Aif6GiWFpZI5PpkpKSzMrFf+CWx5OpcxchkUgyHL9QkaIkJiTw8MF9rKyteRsSAoDCVJRMEgTh+7N8+XLkcjlt2rT5YFtcXBxt27Zlz549H2ybP38+vr6+bNy4MUs55CwnvZ8+ffrpAWQyzM3Nkcs1f+tSdjhx4gQAtWvX/mDbu8dOnjyZkyEJgiB8N6RSKUVLlhUJby1KjI9jfJ82mJhZMO7PtRjIc++FakHIaUnhgSSFv0bhUVLboQiZdHz7OlZO+5mS1evRc/xv4jNO+CZJJBJK16zP8V2bqdZ9BHoGn/8tbqgwp8no+eyZ9RPLBzSmVJMuVOowCB3dzC+eGhMVgdxYvcVmNeH6lYucP32CuUvWUrfBhyVV1y1fRMDzp+jq6dG2YXVSUj6+UPmDu7c5eeQArnk8CQkOIjYmGhs7e1Zs3oP8E58bxUqURkdHhz07t/Ln3F/fj2GiEElvQRC+Pz169MDe3j7DpHfLli05cOAAKpUKAwMDChZMuzPmzp07JCQksG/fPtq2bcvu3bszPX6Wk96urq5Z7SJXefToEUCG5UvMzc2xsrJ63yYjiYmJJCb+s3pzVFSU5oMUBEH4Bi2Y9QtyIxPqNGyh7VC+axKpFH1DQ6LCw1g6cxxmFlaYWVq//2fn5IqDax5thykIWhHz8CwSXX1M8mT/avOC5l05foBVM0ZTo2VnOgybmK5mryB8ayo3asORrWvYPLY7LSf8hb6RyWf3ccxXlO4L9nD0rylc3LoEt2IVcCtaLtMx2Dm78frFpyfJadKhvTuxtXegtm/jD7YplUo2rloKgIOTC116DcDDKx92Do7oGxiir6+Pvr4Bevr6qFQq/B/7cefmNe7dvomVtS1lK1ahQOFi6OrqfjIGuZERBYsU4/dZ0wAYN3kmBoaGGBgYaP6ABUEQvgIZVQjZvXs3+/fvRyKRMHDgQKZOnfp+RndsbCyjR49m3rx57N27l4MHD1KnTp1Mja2RhSx1dHRwdHRUq31gYCApKSm4uLhkdehsERkZCYDpR24/UigUvHz58qP7T5s2jYkTJ2ZLbIIgfP3iElO1HYJGxCR+fGZMZrx68ZTtG1Yw4Ocp6JmYa7z/nBKRmKSVccM1Oq6UbrPWsGfRdJ4/f8adG1eICQ8lITbmfYsxm09jZuOASqX66O29mWFt9Okfkl8qJDZZo/2py8JEX612YdGJn2/0HYqK0s7zEhMV99k2UfdPYuRekthEKSR+Ok51+ssOxhpeGE6hUO/1rGkedurNDvWxU+94I/1usXjMQKrWacTYSbNFwlv45tm7edB79hqWjujGljGd6TVzJUZmFp/f0UhGamwElg4uFC9TDp1/LSZupv9ls77zeOYl6PmTj+6n6fM9iY4eOjq6JCSrgPTn3LeuXeJ1YNrv+Oq1fWnbuecn+/LOVwDvfAVo1rrjZ8eN/c/5fbFS5bh57QoSiYQGLdqjMDUjNjH1g3YZCX4dyPxZU5Dp6lKmQmVKl6uUc+vbqFl23FrN8xxNM5DpaGVcIedZmuihL8/8XSaZlaiTNmapUqXQ0dGhf//+9O+fcf1+IWtWr14NQOvWrfn999/TbTMyMmLu3LmEhoayfv161qxZo72kt5ubG/b29rx69Uqt9hUqVCAgIOCTtxJ9zX7++WeGDh36/v9HRUXh7CzqBAqCIHzK2WP70dXVo0HLz/+wELKfibkVbX+ele6x5MQEHl8/z7KRPXj7+iU7fp+I/63LeBUvT74yVchbujKmVrZailgQsl+8/3mSQ55gVbGDtkMRvtBrfz8WD25HweJlGD1zoUh4C98N1/xF6Tt3PX8N68SCIe0YsngnuvqfnnEc9OwRt08dpOngCekS3plRoGhJFs+aRGDAcxycs/8OcbnciLi4mAy3Hdm3E0srGxIS4vF/5EdycnK6WdvJycn4P/bD7+5t/O7f4cHd27wMeM5vC1dSoHCxDPv8mA7d+7Jy8R+oVCoG92zP8k17PjpJICE+nkd+93l4/zb3795mx6a1GBoaYmSiYMOqJQB4+xSgbIUqNGrRjoJFviwWQRC+3OXLl1Eocq400/fo0qVLSCQSfv7554+2GTlyJOvXr+fSpUuZHifLSW9QfzHLzLbPSe9meL+b8f1fUVFRH50FDvz/tijtXPkUBEH4Gh3Zs41Ny/+kWJmKGIraqrmWrr4B5rZpd3WtHtef1JQkyjRow9NbV9jy68+oVCocvQtQolYTilZviMIyh2YlCUIOibuzHz3HQhh5fH5ROCH3SIyPY+mIbtg7uTLlz9Xo6YnzdOH74uCRj96z1zCnZyPO7FhNtTa9PtlepVRiaKzg4Iq5xMdEUaBCTezz5M3U2A1bdWbjsj9ZPHsiE+cuz1Qf6rp17RI7N63C2OTDRJVSqeTIvp1Ur9eIClVr8VPfjgzt3YnZi1Zx+/oVpo0fgd/9OyQnfXjnXHzcl9+14+TsysgJ05k+YSRXL50nNjYGY+P05WVSUlLo2KwON69eQqlUIpFIcM3jSdPWHRj00xgUpmYEBb7i4tmTXDx3ioN7d7Jzy3pOXHv4yZrigiAIX4OQkBAMDAwoVKjQR9sULFgQQ0NDXr9+nelxcnyaQ0JCArIsXjHOTu9qeWdUtzs8PJzQ0NAM630LgiAImbPw/3WjB42epu1QhM/QNTD8//8a0P+PzTTs+zODFm5jwo5LtBszBws7Z/b+9SuTW1Zg6cju3Di2h+TEBC1HLQiaoUpNBolUoyV9hOx39dBOot6+4Zc/VmGUgwvqCUJuYp8nL2UbtuHY2oXERUV8tu3wNYfJX74GB5b9xuxuvgQ9fZipcQ3lRvQcOobj+3dyfP/ObJn8lpKSwpJ5M+jesg5mFlbMX7X9gzZ3blwhKPAltes3o3KNevyxbAMnjh6gY7M6dGlVH109PUaMn8baHYcY9NNYAIqUKI29gxP5Cnw8IfMpHXv0Y+6StRy7fP+DhDeATCbDwMAApVLJ5NkLuPo4mANnbjBm8iwUpmYA2Dk40rhlO6bOWcS6XUeIiozg2MG9mYpHEAQhN1F3wrBcLic5OfMlK3M06R0YGEhISAiWlpY5OewXqVKlCgCHDh36YNu7x961EQRBELLO1TMvtg7OOLt7ajsU4TPMbR1pPGAMgxZsSzfry8jMguI1G9F50p+M336BpkMmkBATxdpJg5nYrAyX9m3RYtSCoBlGRRqR9PImsU8yf4ulkLPevPDnyOo/KFixNg7ObtoORxC0qlangaSmpHB03cLPtjUxt6LNyJlMO3gXqY6Mx9cvZHrcOo1bU65qbcYP6cbIPm1JyULyIiOL505l8dxpdOv/I8u2HMTFzeODNpfOnsBEYUbRUmmLclatWZf5yzfw4O4tGrdoy6qt+6lWy5ejB/ewcO50Ovfsz6Y9xzl+1S/DmePq0NHRoW6DplhZf7z029y/1uLu4c2YH/tRp1wh+nRqweljH+YhIG32uIOTCw/u3vrs2CqVimuXL3D88H6OH97PqaMHiYlRs2C3IAhCDihQoACRkZEkJHx8gpRKpSIqKgoLCzXWo/iIL55yferUKU6cOJHusZiYGCZNmvTRfVQqFREREezbtw+VSkWZMrn3ttAaNWqQJ08e1q9fz6BBgyhatCgA0dHR/PLLL8hkMrp06aLVGAVBEL4lnnkLcuLgLm2HIahBKpVSqUXXT7aRm5hSrlE7yjVqR8jLpxxeNZ+ts0ZjZmOPd8mKORSpIGiegXtZ9BwLEXJsMYauRZHKcn6BJUE9CbHRHF27kFNbV2Bh50jTwRO0HZIgaJ2JhRVVWvfg+PpFVGzWGXNbh8/uo6tvgGv+otw5c4gKTTO37opUKmX6og38vXkVs8YN5dkTPzzzFcxUXxl58dSfEmUr0XfomI+2efTgLnnzF0JH55+FEKvUqMvFey+R6ugw+oc+7N25BROFKV37DGbAsNEai+9TTM3M2bL/JBfPnuL2jaucPn6Ywb06svv4JZwyqIHulS8/jx7c+2SfF8+dYs60Cdy4cjHd43IjYxo1b0ObTt3JV6CwRo9DEAThU4KDg9N9/v7bnTt3KFmyZIbb/PzS1l+wtc38ulFfnPQ+fvw4EydOTHdrZ2xsLBMnTvzsviqVCgMDg08WKtc2mUzG0qVLqVOnDpUqVaJt27YoFAq2b9/O06dPmTx5Mt7e3toOUxCEXCZOjdXYvwYxiZpdZDgi8cPaiP/1+NF9UlPTnr8TB3dja++ET+Hi2T6uNoVrKb6QWM3Orvocayd3Wo+YQWxkGKvHD2DctvPoGRiiUqkyLBGh6fisjXQ/30iLwqITtR3CJ5mYqFf7OFrDx6FQqDduVJR648ZEfXk91oxIJBIU5bsRuvVHXh5ZiUGhZp9snxgVpZFx39HX0oJK6v491H29qMvKRL2LCv99nyclJDCrbzPCggNp2LU/vh16o28ox1g/95ZX/B5p+nvaTP/7ughlnsnjbd61D5f+3sChv6YxYPqi94/fexP/0X2KNenG9l/6cXz3VvJ0aIeu7ufH/u/fQyKRUK5qbQDevH71xUnvT52fJiQmoqOrR0xiSobv89TUVO7duk6lGnU+2GZgaEhSYiLnTx/Hzt6R3ScuZ1iKJDsZmyioUbcBNeo2oEf/H2hUrTT9u7SiSPHSAO/Pl/IXKop3vgLs2b4pw37u37nJr7+M4dypYxQsUpwl63e+L80SEx39P/buOiyqre3j+HeooVMUDEzs7sAWu7vj2N3d7bE7MLA7j8duj9167FZsECSl5/3DR1451gADm7g/13Wu53FmzV6/UZjZc8/a92Lvzi1s2+DO5rUrcKlQhW59h1C0ZJlYZfbU8n3fXsfvC0KIpOlXra22bdv206L3wYMHAShSpEis547x2V+mTJmitfc4deoUhoaGlCpV6qeP0dPTw9LSkrx589KuXTuyZUvcl7BXrFiRM2fOMHbsWLZu3UpoaCh58uRh4sSJtGrVSul4QgiRbERGRvLyyUNCg4NZPmcy65bOIl3GLKzbfyFR7/8gtKdvYIBzkTI8uHSa01tX8vzONZ7evIyFbSqci5QhR7GyZCtUCpNYXj4sREIytHVCnacuIf/uRt8uK4ZpCygdSXzj1rmTnNy1Ec83HkxYv5/0WWO3+Z4QyZWJmTmtBo5l8cheXD62j2KVa/32Mc4lK5O9dFX2zxnGgbnDsXdMR79JC8hb9Oef/3/ENlUa9A0M+PD2dWzj/1BoaAhGauOf3r99w0peezynWp3G393n+eEd1jZ2TF+4ko7N67Jh1VK69hms03wxYW5hyYxFq5g2bhhb13+/8ee4afN4++YV/n6+WFhaRd3+6MFdWtVzxSFteuav2IhrzbrRFhfYp3agz+BRdO83lMP7drN03nRaN6iKU6Ys5MiVl+y581KwcDGKlnTBxNQ0QZ7rf/n7+zNr+mRKlXahavVasn+GEMnEiRMnfnm/tbX1T+9btmwZwC/rzb8T44pCu3btaNeuXdSf9fT0sLW1/e0TSWqKFy/OgQMHlI4hhBDJmp6eHrM2HmDxuAGsWzoLW/s0vH7xlId3b5I7f+y/0RWJy/PbVwE4un4xWfIXo3Lr7vh6feDR1TNc2LsJlZ4eGXLkJ3sxF5xyFkCDhvDQUCLCwwgPC8XM0ppcpSqhp5fg+28L8R11vgZEeD8n6OxizKtPQN8i9pdcCt0JDQ5m7sCOWNnZ02rgOCl4C/ETxV3rcPHI36z5cxTOBYpiner3r2F1h8zC4/YVUkf4cGTXJqYP7sLcrUex/UW/6v/S19fHPo0jHs8fExER8dNL3WPqxZOHlKlU/Yf3+Xh/ZOH08TRq+QcFivx/i9UrF86yfOEsTh07xKRZi2ncsh1deg9i/vSJFCvpQuHisS+wfKXRaNiybhWvPV4QGhJMcHAwxiYmpLJPTamylciVN/93fwfBnz/z147NvHz+FICMWbJRoFBRPn/+jLW1DXkKFALg711bad62EyqVCn8/X3p3bEk6p4xs2XcSU1Ozn2YyNDSkVv0m1KjbiFPHDnHhzEke3rvNptVuLJo1BQtLK+o0ak6z1h3IkTt2G3jGVpvmDfnn1AkWzJlJsRIlmTFnIfnyF0zQDEII3YvLnoj37t2L8/xxXkbn7u6OiYlJnIMIIYRImaxsUzFt6SbOHj/I/MnDyJ6nAM45E/ZEW8Svmp0HU6ZBGzLlKYLhf3bp9n73mkdXzvDgyhnO7V7PUb+FPzxGuux5qNN9BNkKlUyIyEL8lEqlh2npbgQcGkfQyZmYVR6OnmnsN9gRuuHx+B4R4WH0mb6MzLllBb4QP6NSqWg3bDJj29ZiRu82jFi2Ffh1Gwp9QyMyFSpNmQxWFC3nSv+mVVg4fiBjFq6P0dzpM2Zh25ql7N64itRp0xMWGoLfJx8atOxI9yFf2qW+evGUcycOYWFpRbX6zX/5hffbVy959/olhUuW/eH9n4MCCQzwJ3f+QlG3fXj3htYNqpIlW/QvxnoPHsXl82cY2L09u46ex9rm96/rERERHDnwFx/evSUoMJDPQYHUrNeIHLnzceXCWcYN7UPa9E6YmpphpFYTGODPh3dvmTV5DFY2tlR0rcG4afMw/l89JTj4MyePHsD3kw/N2nRk7LS50Z5/REQEVWvVZ/ywfuzfs4Ph46exaNZUPnp+YPvBf35Z8P6Wnp4eFV1rUNG1RtRtz58+ZteW9ezcvJaN7ssoULgYTVt3oEa9xlofNy5q1q7HP6e+LKS8fPECFUoXpWuPPgwZPhprG5t4n18IkTzFuej97apvIYQQIjYiIiI4dXgvPh+9mLliO4ZGKas3Z3KX2ikLqZ2y/PA+W4d0lKjdjBK1mxEZEYHfx/fo6RtiYGSEgaER+gaGvLx3g78WT2Fp/1bkKVOF2t2GYZ8hcwI/CyH+n8rIDNMKgwg8NpXAo5MxqzwCPTM7pWOlaJeP7cfA0Ij02XIqHUWIRM/Kzp7BC9YzpUsTZvfrQJ1xKzAy1q6thY2dPUVcKvP47s0Yzztuziru3brKq5fPePvqBWq1CQH+vmxauYCPnu+5f/s6L58+wshITWhoCHu3rqVc1dpY2dhRoGgp0mbIFO14Ny6dQaVSUaBo6R/Olza9E+Wr1GTd8gVYWFpRtFTZqJ7k7br0YuyQ3lHFbQMDA3oNGsEfzepw+fwZXGvW/e3z+ej1gX6dW2NoaIillTXh4eHs2LSGPccvsnG1G3p6epSvXI3IyEjevXmFtY0teQsW5u2rVxgYGvLX9k3kK1iEVh26AmBtY8veE5eZOWk0W9atRK1WM2LiDEKCgwkLC8XcwpL5Kzbwz4kjTBs7jIZVv/TkXrJ2OxkzZ43xv8e3MmXJRv/h4+g1aCQnjxxg2wZ3Rg3syeRRgylToQqVq9WifJXq2NjGz3tdl+696NCpK/v+2s2QAb35+NGLZYvnc/TIQf4+eILUcdjITgiRcsl1wkIIIRTl5/ORwZ2acHTvNgaNn41TFmelIwmF6OnrY506LZZ29phaWGFkbIK+gQGZ8xWl96LttBo9h9eP7zKjfXX2LplKRLhuN14VIib0LdJgXmUEGk0kAUcnExnopXSkFOvf86c4sH4Z9Tv3w9BINk4TQhvpsmRn4Ly1vHpyn71/DvjlRmP/9eTev2TNnT/Gc1pa21CiXBUate5Mr2GT6Nx/JP1G/0nNhi25cv4UeQsVZ/Kidey9+JgFG/YRHhbG6oXTmTqsJ12buPLJ+8vr7LNH95g/eThTh/ciW868WFr/fCVw++798Xj+hCE92uI2bxoWVtYAvHn1EoAXzx5Hjb107h9UKhV5C2i3oXrqNI6UdCmPmbkl5atUx8LSCi/PDzx99JB8hYpQqGhJrl+5wK3rl9E3MMDM3ILXHi955fGcS+dOExkZycpFcwgL+/+NvC2trJkwYwHVajfg4f07aDQaurdrQoUiOVi/aikRERGUrejK7mMXGDN1DpPnLIm2YjuuDA0Nca1ZF7cNuzh68S7d+g3hw/u3DOvbBZf8mWnbqAZr3BbyyuOFzub8du76jZpw9vItKlZ2BeDJo4fUqFKWN2902wteCJEyqDQxeHf7448/AHB0dGTy5MnRbovRpCoVK1eujPHjkiI/Pz+srKzw9fXF0lI26YpPD94FKR1BpGBBIRFKR9CJgBDdFhE/hYT+8n6Ppw8Z36MlocHBjJuz8qeXp+p6XqX5KJTPMzDs94MSubCQYE5vW8Uh93lkL+ZCmzHzUf/kslt7M0Otjqnt34tnoHa/H17+2v37Pnnnp9W4xM7fP0SRef38tJs3wE+35wdB/tGPFxnoReCxqWg0kZi7jkHP9EvxJcRPt/++ai3PI00tdLsJWdr02l1WbmGh22JzCedUWo3LndqEeYM74/P+LWPX7P3p5mf57K11mC7lSejzg5iyVqesK8S0/fvT5nzjxj9HmTPgD1y7j6Fw7Va/HFsmgxWhIcE0L+VMp6ETqdms/Q/H6frf46Pne9rVLk3WHHkJCw3h9vVLmJia8zkogDKVajB1yQYAzNU/vpA9NCSE4b074O/vh9umvymfPwNd+wzixdMnbNu4mradejBk7FR8vL1oWLUMGTNnw33r3xga/v484rXHS9YuX8i508dBpaJLr4HUadT8l4+JjIzkxOH9LJ4zjTu3rrN2x0GKl45+Djxr8hg2rnajaesOuC+dT/kq1Tl19CB58hdi3J/zyVdQu8K8rnx4/5YThw9w/NDfnPvnBOFhYXTrO4SeA0f8dPN5+1i+LwQFBeHj/ZHVK92YPWMqAGkcHLly+RLp06eP9XMQv6d0/err/P22XUVtap7g84cEBTC3SRGp3yWgyMhI1q5dy+7du3n69Mt+BpkzZ6Z+/fq0bds2zvs/xKjoraenh0qlIkeOHNy9ezfabdoc5us4lUpFRETyKBD9jtIvGimJFL2FkhJ70Tuxflgd36Mlbz2eM3H5Nuwd0unkmKBcUVlbyaH4HBPaFp9j4t8Lp1k4tCtpnDIzYM5qrFOl1vkc/6VUcdwnULvirrdCxWdt6bo4rm3RW1vaFsd9Xr/77jbNZx9Czs5EZWKLUal+qPT0wU/Lld9+H7QbZ6ndz7g6/Y9bCf2XtsVxc0vtxqVLp915rq2WRZDSWbUrtjsZQ9uK+WjcqS9NO/f96bj0Wj4PbZmqtfsQltjPD5Si6/OSlEaXRW+AZZNHcGn/Nhr2G0+xGo1/+uURwMv7t5jfrQF9lu7CKeePV3tnt9WuB7S2xXFztQEH9mxlVL/OlHCpQMMWHXCpVI2Jw3rTplNvcub9fR//xbMmsnvzWg5ffkRtl3xUq9OIXkPGsmWtGzPHD6Vjr8F0HzCS65fP07FJNVp36sWoiX9qle+rr7WOmIx/cPdfsufK+13vcj/fT9SuUBTfTz40adWBUZNmcu3yBcYP68vDe3do2aErPfoPxdbOPkZz6kJAgD/rli9mwcxJFC5WillL15DGwTHWxzP75vVUo9FQwDk9Pt4fAciWPSePH94HYMGCBfTq1Stu4cUvKV2/kqJ38jNmzBgsLCwYPHjwd/e9e/eO2rVrc/36dYCouvLX17QCBQqwf/9+HBwcYj1/jHp6t23bFpVKhaOj43e3CSGEEDHh8fQhV88cp9+k+ToteIuUIV/Jcoxw287s/u2Z+Ed9Bs5bQ9rM0hpHKENlYoNRkY6EnptL+L1dGOZprHSkFMHv4weGj+qKRqPBpWodpeMIkWTV6T6ckM+BbJ0+jKuHd9F40GTs0/9474xP798AkCqtU0JGpEa9plSoWhsTk///Amvy3BVaPz6NY3q8PN8TGhKCkfpLz3CVSkW1Oo2ZMW4INrZ2HDv4F7s2rQZg/YqFFC1egup1Gmo9R0zrIiqVipx5fvzFgaWVNQfO3MDQ0Aij/+11U7hYSXYcOsu6FYtZMGMSG1YtxcTElNQOjpQuV4k2HbuTxTnHD4+nS+bmFnTvP5RipVwY0L0dLWpXZMWmPTqZW6VSYWxsTI3a9XFMm45Vboui7rt5M+Z95IUQypo0aRIODg7fFb0jIiKoX78+165dA8DJyYnixYsDcOnSJV6+fMnNmzdp1KgRZ86ciXXdOUZF79WrV2t1mxBCCPE7V04fRaVSUaJidaWjiCQqY448jFm1h9n92jGhQ33K1m1K2dpNcMqeW+loIgXSs8mCQe6GhN/Zhp5NZvTNMyodKdk7uHI2Xu/f8OfavaTNqN0KdyHE9wzVxrQYPpMirvXZPmsUszrUxLVdbyo074y+QfSrtSLCv6we1zdM+JYy3xa8Y+raxTM458yLkVqNWm1MaOiXq4VMTc1wTOfEjPFDo1YZZsySDbtUaVizfFGMit66Zmb2/UpXAwMDOnTrQ836Tbh68Swf3r3ltccLDvy1g01rllO2oittO/fEpUKVeF+cWLRkGbbuO0XnlvVoWc+VrftP4pQpZq/FD+7+SzrHNFErxU8eO8Lnz5/RNzAgQ8ZMqNVqnHPk4vUrD7p06RLtsSEhIURERGBqqtsreYQQ8W/Tpk1cunQJPT09Zs6cSd++faNeszQaDfPmzWPgwIFcuHCBHTt20Lhx7BaUyEaWQgghFFGiUg1Uenoc3b1Z6SgiCbNzSMuI5dspX78FFw7tYXSr6vSokp+B9cowsrkr+9YuidHmXELEhX6m8uilLULYrU1oIlJWG6OEFvI5iJsn9lOzWXuy5MyrdBwhkoXsRV0Y5H4Al0btOLRqLqtHdSc8NHorqfDQL0VvAy36XScWYWFh/HP8MBWq1gLA0MiIsP89D7WxMYvX76ZT78F06v1lJeKgMX+SPmPmRH3+kMbBkZr1GtO+a29GTprJ8cv3mTbPjY+eH+jcsj61yxdl85oVBAUFxmsOh7TpWL/7CGFhoezfsyNGj/33xjXqVS5J/+4dAZg9bSJtmtQhb/4CDBk1nk1rV1GsZGncN+3k+PnrFCtWLOqxQUFBpEqViipVquj0+QghEsbmzZtRqVT06NGDfv36RfuSTqVS0a9fP3r16oVGo2Hz5tjXC+Jc9F67di3btm3TevzOnTtZu3ZtXKcVQgiRxKV1ykyluk3ZvnI+wfF8Qi6SNzMLK1r0G8WcfRfpP3sVNVt3pVT1+jjlyMPWBVPZtnCa0hFFCqFSqTDIXhvCPxPp/VDpOMna7X8OEfI5kIp1migdRYhkxcjYhNrdhtHxz5U8unaO1WN6EBby/4Xv8LBQVCoVevoxumhcUQ/u3CTA35eQkGBuXLmAv9+nqJXeAE6ZstJ9wCh8Pn7EwMCAG1fOc/rofqxtbBVM/T2NRsOEEQPYsWnNd/cZqdXUb9qKHYfPsm7nIbJky8744f2oXa4I/n6+8ZrLytqGYqVc2L1tAyeOHCAs7PsvfY8f2keTGuUY1KMDS+b8yQb3ZcyaPAqAK5cv0K5ZfeZMn0zP/oOpWKU6E0cP5eGDewwfOxkHx7Skso++r4WBgQEBAQGcP3+ekSNHJuovKIQQ3/va1qRv35/vx/L1vqtXr8Z6nji/U7Vv3x5HR0eaNNHuhHPgwIF4eHjQtm3buE4thBAiiavV/A+O7trE5dNHKFu9vtJxRBJnYGBIwbJVKFj2/1f9WNnac2LXBhr3GIJeHHf/FkIbeuapUVllJOLDTfTt8ygdJ9m6fHAHWQuWwCG9tJERIj7kKFaWP6a4sWpEF9xHdiGPiyuR4WE8uXERPQND7p0/gZGJKWoTU9Sm5ljZO6COQ/uR+JQzb0FadezJOrf5rF02DxNTM5q1LfLduP4jJ/HujQerFs2iVoPmDB41QYG0P7d/z3Y2ui9DX1+f/IWL4Zzj+3ZuKpWKYqVcKFbKhaePHtComguL50xj6Nip8Zqta5/BjB3Sm+5tG2OXyp7aDZvRoGmrqJ7lu7as598bV3n35hX/nDxKoL8f6TNmplaDJjx//BCVSsXAYaM5f/Y0ly+cI0++goye+Cf5Cxb+4XxGRkbUq1ePPXv2MGXKFGxtbRk4cGC8PkchhO58/PgRU1NTsmbN+tMxWbJkwdzcnA8ftNz0/Qd08vVsTL9Vk2/hhBBCAOxYtQAzCytyFiz2+8FCxEKRCtU4sH4Zz+7/S9Y8BZWOI1II/fTFCb+zHU3wJ1TG1krHSXYiIyN5cv0CdXuOVDqKEMla9qIudJy6nHXj+3wpduvro6dvgEqlYtWIztHGGptZ4NKwLWUbtQdbM2UC/4SBgQEDR0+lXtM2hIWF4pwzLwYG35dCTM3MmbtyK14f3pHGMR2m6sTzZXlERATzZ0yiYNES3LhykZfPnv6w6P2tLM456NxrIEvmTqNZm45kypIt3vIVKlqCPccucv/OLXZv3cDeHZtZ47aQXHnzM3OROzXqNeLG1Yt89PKkfJXq1KrfhMrVamNiakrgJ0/cly9m5bJFfPLxxn3TTqpUq/nbOevVq8dff/1FmTJlGDp0KMWLF6ds2bLx9hyFELpjbm5ORETEb8cZGRkRFBQU63kS/JokPz+/qN2HhRBCJG8+IaG/vP/Nq5cEBfqz1W0urXoOwdrOXifzegYq00vXMzBckXntzZS5xNjeTLt+njZq5d73CxcqhomZOU+vnqdo4eKK5YiLVBba/f15mam1GucTGPL7QYC3v3bjtGVhoV0+XfPz0+3zUFta/naMysqecDRo9EFlmerXg/1iv3olIVhaKvPv9it6enqYWFgRHBSgdJTfSkxFsx8JCvn9B874YK5OOq0xdCEgRLfnB9Zavq/+7jzsq1+dv1jnLEHvTRcBuPjIi3vrJ+L172mKDFyFvrEZESFBRIQE4XX7DMe3rOT4llWkzlmEfE37YeGY6YfHfPfvWfSNjCleujQGWmyIWSubbs4PHTJlB/hhwfsrfX190jimA3T/+xGX1wNfH29ePH1Mrv+tnDbX4r0IoEO3PmxZvxL3pfMZP31+rOfXhkqlIlfeAuTKW4BBoyfzz4kjTB41iLnTxrNg1SYqVa3Frq3r2bVlPYN6dEBtbIypqTkB/r4YqdU0b92Bjt16ksEpk1bztWnTBjc3N169ekWhQoWoVq0ac+bMoUuXLvG+iacQQnsRERF4eHhEWwDt7OzM5cuXCQgIwNz8+017AcLDw/H19cXBwSHWcyfo2cb58+fx8fEhc+bMCTmtEEKIRGrk8u0c376O3cvncvHEQUbOW0OO/D++jFGI2DAwNCRf0dLcvHCKpp1/3jNOCF0ycMgDxtaE3duNUam+qPSTzoZvSYVTrgIcWbMQo5BAWnQfiLmltdKRhEj23l89zPsrB8nZciQWGXJEu886a0GcKrfmzdldPD+wgne3zlCsyyQMTS0wMDbDwNgUQ2MzPnu/59zcL+/H59XGpM9dhIz5S+JUoCQO2XInqV7hCcnG7ssXqAf37sS1Zj2Kl9JuRbOJqSkVXWty6dw/8RkvmoAAfxbOnMzzp48J/hzE0YN78fbyxDaVPS3adaZFu848f/qYU0cPEhz8mVR2ttRr1BQrK+sYzWNgYMDatWspWLAgjo6OlC1blm7dugEwefJk5s+fT/369XX/BIUQMeLl5UWmTJl+eN+1a9coV67cD++7c+cOERERODo6xnruGL+jrFmzhjVrom+c4O3tTaVKlX76GI1Gw6dPn7hz5w4qlUp22BVCCAGAgaERVVt0pGqdxkzt/wcjOzakz4S5lKtRX+loIhkpWKocq2aOJzgoEGPTxHXJtUie9IwtMSrSmdDzcwh/uB/DXPWUjpTstJuwhH+2u3Nk/SL8fX0YMGWh0pGESPZeHFkLwP1NU3jy12KyNx2Mff7yUfcbmVuTqVoHcrs24cioJlx2G/XD45g7ZKRY50nw5jYvbl7g/NYlnFozC7WZBRU6DKJgjeYJ8nySEpVKhYmJKZ8/BzFlzpIYrWQuUqI0m9eu4KPXB+xSpf79A+Low7u3rF62gFx581OtdgOyZs+JpbVNtDGZsmQjU5deAJjFYQW8s7Mz+/fvp169evj6+pI9e3YMDAzw8PCgQYMGdO/endmzZ2NsbByn5ySEiL1ftbjeunXrT4vef//9NwDFisW+FWqMi97Pnz/n5MmT0W4LDQ397rafyZEjB+PGjYvptEIIIZIxGzt7Ji3fxoJxA5k5tBsmpqYUK19V6VgimShYqgLh4aO4c/UCRcpWVjqOSCH0bDKh71SGiNeXMMhZVy611jFDtZpKrbrhceMcnz56Kh1HiBQhX+fpBLx+RFjAJ95d2s+zv5dhZGGHRYbs6Bn8f5sSYys7as87SnhIEGGfAwkPDiI8+Mv/hgUHYp0hO2b26XAuWZziDf8gIjyMtw//5epfazm+fBpZi1fEwi6Ngs80cbr+1JOwsDAMDWN29dDXXt5XLpyjWu368ZAsusxZncmU1ZmcefIzZuqceJ+vfPnyXL58mfPnz1O7dm2sra25fPkyy5YtY8mSJbi7u/P+/Xvev3/Prl27aNGiBRkyZIj3XEIIePbs2S/v/9UXUocPHyZjxoxUrhz7z28xLnpXqFAh2p/Hjx+Pubn5L3fK1dPTw9LSkrx581KhQgX09RN3bzshhBAJz0htzIApC/F884qdqxdL0VvojF2aL5fEffR8r3ASkdLoORQg4vkpNL4eqKydlI6T7Lx5fI9/L59l4NTFSkcRIkUwsUuLiV1aAMzSZuXWkv5cn9cVlb4hFk45scqUF8vM+dB3yozXo+tfxtmnw9IxC5Zpf97iVN/AkPS5C5PKKRtunauye0pfMhcug2XqtFilTstro3ykcUyPQQyLvclRTAreERERjBvSh11b12NuYYmt3W/2mNDSR68PHNm/FzQaqtSsQyr76F9QqFQq6jdpxdxp47BLZU/foWNjXKiPKWdnZ5ydnaP+vHjxYgoWLEj37t0JDg7m9evXjBo1ip07dzJ06FD69+/P6NGjsbGx+cVRhRBxlTFjxlg/9tSpU3GeP8ZF7/Lly1O+/P9fwvS16D127Ng4hxFCCJGyqVQqarfqyPRBXXhy9xZZc+dXOpJIBu7fvAJAroJFFU4iUho922xgaELE+1voSdFb5+5fPIWR2pgyVesoHUWIFMcqU17KTDlAwOtH+D27jd/z23y4cRyPE5u4A6j+15tbE/Flk0yrDNlJV7Qy6YpWwcLhx0UQY3NLavabwrktS7lxYAuBPl+u4tjMl6sCm3XoSf0WHTA1t0iIp5jk/b1zC9s2rmbwmMk0a/0H5hbabX75IxqNhmMH/2aD+1Iunj2NSqVCpVIxYUR/ipVyoUadRrjWqhvVPqVL74EYGhowZ+o4Lp8/w6wlq0mv5QaVuqCnp0e3bt3o1KkTkZGRGBkZMWPGDM6fP8/bt2+ZM2cOq1evZvz48fTu3TvBcgkhEpZK86vmKlp48eIF+vr6pE+fXleZkhU/Pz+srKzw9fXFUssdlkXsPHgXpHQEIX5L17vA61pASLhOj/cpJDTGj4kID6dP44qEhYXx59q92NjZx/gYD70DtRrnGajd8/Xyj/nzSIxSWRj9fhBgb6bdd+L2Ztqt2sls+eMduRPKirmT2bN5NX+dfxinFhOx+Xn+FR8tj+cZGKbTeXX9c//knV9c4sQ7f/8Qrcb5+Wk3LsBPu/ONIP8v44LOLSXC5wUWtaZq9bifMbUw1WqcuaV24ywt1VqNs7DQbpytluOcHbQrVmnzOnTpwHa2/jmU7ZefY6T+db9Wa7V2r3/mat1uomcah161CSGxn5ekNInhPOxXtHnf8n7/lvsPH5IhZ36M1Cb4er3n5b2b/HvqAHfPnyA0OIhU6TORPnte0jnnJk2m7JhZ2WBmaY2JhRUA4aEhhIeHYW5li9/HD0T6vuPysf38s3cbxqamVG3eEddm7TH7zwa2NmojHty6xp8DO1G9SVsKliqH59vX5CtWGksbO+BL8fbl4/v8e+Uc9g7pKVbeFT09PQDCQkM4e+RvDm5di6WNLdOXbND67yYk+DOXzpwgbYZMZMme64fnGwn5+hIaGkqtcoXJkSsvC903Ex4ezkb3ZSybP4NMWZzJk78geQsUpmqt+hibmPxynqePHjByYA+uX75A0ZIu1G3UHNcadUCl4tjBvznw1w4unDmJsYkpu4+eJ0PG/1/Vf/PaZQZ0a0dERDh/n7qKeRy+sMjhoN372694e3vTr18/1q1bF3Xb0KFDmTZtGq9fv+bp06fky5cPa2vrOM+VFCldv/o6f79tV1GbJvznh5CgAOY2KRLj53/58mXGjh3L+fPnCQ0NJU+ePPTr14+WLVtqfYzIyEgWL16Mm5sbjx49wtzcnIoVKzJ58uRoVzHEdl5tPgO9fPnyu9Y/GzduZO7cudy5cwcjIyNKlSrFhAkTKFo0aSwminPRW/ya0i8aKYkUvUVSkNg/XCaWD1vvX79kSJvaZMiSnUkrtsf48VL0/rGUWvTu06YOFlY2TF64Nk7HkaL3j0nR+8e+Fr3DPC4T9M98zOvMRN8i9j1qpej9vaNrF3J2x2o2/HPvt2Ol6P1jif28JKVJLOdhPxPX962wkGDuXzrF42vnef3oLm+f3Cfk88/P2Sxs7SlcpS5V6jclQ7acXDt1GLdx/QkODCBz7gKMW7MX+FLIXj9zLM/vXOedxwuMjI3x/vAu6jjFy1dl1IK13L12kWkDO/Hpoyf6BgZEhIfj6JSZDFmyg0bD/VtX8PPxRqVSUah0Beau2vHDXK9fPuPymRNcvXCKl88e8/HDOwID/IkI//Lv17n/KNp0G/Dd4xLy9eXwvj306dQSfX19NBoNkZGRANSo2wiVSsWdW9d58ewJhYuVYsnabVhZ/7zNx6LZU1kyZxpuG3ZRulylH4756PWBRtVcyJOvEItWb4l23yuPF9QuV4QW7TszdGzsvwDWRdH7qwMHDjBw4EDu3fvy/vH48WMaNmzIrVu3qFmzJvv27dPZXEmJ0vWrpFj0PnnyJNWqVcPIyIjmzZtjZWXFzp07efbsGZMnT2bEiBFaHadLly4sX76c3LlzU6tWLd6/f8+WLVswNjbm3Llz5M6dO07z/mxvxcePH7NhwwZy5crF3bt3o903ZcoURo4ciZOTE40bNyYgIIDNmzcTHBzMoUOHvmt/rY1Pnz5x69YtLCwsKFSoULT73r59S+/evTly5Aj6+vrUqlWLWbNmkTp17Dfg1e2rrhBCCKEDadI50X30dKb0bc/d65fIXai40pFEEhUaGsLdG1foMnCM0lFEChUZ5AOAJlS7L+OE9mzTOuHv68P9m1fIWSBprDgSIiUzVBuTr2w18pWtBnxZ2ejn9Z4gf1+C/D7x2d8XlUqFgdGXL9HuXzrFlUO7OLV1JWaWVgT6+WJhbUvJBi2pUL9F1HHPH9zN0a2rqVi7MZmy56ZA8bK8ev6Iq2eO8/61B5dOHebZw7s8vf8vnz56krtQCUpVqYX3h7dcPXOcSycPRcup0WgoVLrCD5/DpX+OMaRLM1QqFbnyF6FAkVL4fvLmxIHdUWNKVVB+X5piJcswYsJ0VHp6GBmpMTQyxNbOnnKVqkatbL957TJdWjekTcNqrNi0h9T/2wPlv7Jky054eDi58vy87aBdqtQMHTuV/l3bcvrYIcpVrhZ1X/oMGenefyjzp0+kfpOW5MidT7dPNhZq1KiBq6srS5cuZcmSJQCUKFGCW7dusX//fu7evftdkVGI/woPD6dTp06oVCpOnz4dVcQdO3YspUqVYuzYsTRp0uSnK7W/OnHiBMuXL6ds2bIcOXIEtfrLa2Dbtm1xdXWle/fu0fpbx2benxW9v7b36dSpU7TbHz16xNixY8mePTuXLl3CyurLlTh9+vShePHidOrUifv372NgELOy8sqVKxkyZAg9evRgwYIF0Z5T1apVuXv3Ll/XZm/cuJEbN25w9epVjIy0W7zwXzoret+8eZNFixZx5swZXr16RWDgz0/sVSoV4eG6/RZbCCFE8lK8fFUyZM3O9pXzGbNwvdJxRBJ19tgBQkNDKFCstNJRRAoUGexP8PWNGGV3xcAui9Jxkp2CFWtxfvtKVs0cx59r98apfZEQIuHp6elhndoR69Q/LrbmLFGeOt2H8/bmWR7/e43cxcqQs3BJ9P9TZNmxdCYqPT3uXLvAhzevOLprEwaGRmTI4kzhMhXJmisfaZ0yEx4aQtZc+Xn36jnus8cTGfH/VzqkSedE5px5yZIjD1ly5qNQmQpR94WGhnD68N/s3bKG65fOkLdQccbMWs7ls8fZv3Mjd65fJrVjOuo170CDVp3i1DtbV2zsUtG2c89fjilQuBgbdh2mY4u6tKxbhSo16mBqaoaxiQnpMmTEpUIV3rx6yYG/dgLw4vlTbH6xGWb1Og3ZvHYFIwf2YM22/WRxzhF1X4dufflr+2b6dGpFFucc5MiVl37DlN0XzsDAgHbt2tGuXTssLCz4448/WL58OQAzZszA3d1d0Xwi8Tt+/DhPnjyhQ4cO0VYtW1hYMHr0aJo3b467uztTpkz55XG+/txNmjQpquANULlyZapVq8bBgwd5+PAh2bNn1+m8wcHBbNiwASMjI9q0aRPtPnd3d8LDwxk5cmRUwRsgT548tG3blqVLl3L8+HGqVo3Zl3yHDx8GoEWLFtFu37JlC3fu3MHExIQBAwZgYmLCjBkzuHv3Lm5ubvTq1StG83ylk6L3woULGTBgABEREUi3FCGEELqgp6dH4459mDOiF88e3CFzjjxKRxJJzBuP58wY058ylWqQXTZFFQrQhPhBZAQGaXIpHSVZ0tPXp23v4Yzv2Yp71y+Ru3AJpSMJIXRM38CQQuVcKVTO9adj6rTvyXuPZ5gYGuKULSdZc+YlXaZsUS1MHt25yeEdG3h4+zrpszgz6M8lOGTIhP8nb/x8PmKb2hFzS6sfHjvA34+ujavg8fwxBYuXodfwSVz85xgtqhZBExlJ4ZJlmbRwLaUrVo/xisfEIFuOXGzcc4zRg3py6ughgj8HEfQ5CF8fb/T09IiMjCRtugwMGTuFvAUK//JYKpWKWUtW06Fpbdo0rMaqLXujVnUbGRkxbf5y5k4bx4O7t7l3+ya9Bo1U/O+scuXKXLt2jYIFC9K4cWMGDx7MjBkzWL16Na6urjHqySxSnpMnTwL8sPD79bZvV2j/6jhmZmaUKVPmu/u+Fr1PnToVVfTW1bw7d+7Ex8eHxo0bY28ffR+tX81RrVo1li5dyqlTp2Jc9H78+DEA+fJFv+Jj69atqFQqxo8fz6BBgwDIli0bzZs3Z/v27coVvS9evEjfvn0B6NGjB7Vq1aJmzZrY2tqydetW3r17x9GjR9m4cSOWlpbMnz8fR8cff5MrhBBCfKtc9fpsWPgn21cuYPD0pUrHEUmIv+8nRvZsg5W1LSP+XCwrQIUi9CzTomeTkdCn/2CYoZjScZKlQmUqkjZjFvZtXiVFbyFSqAoNvhQmbX7Qu3/binlsXDwDgMw58hDo70vvhhVo3m0gTTr3xfo3G6bPmziUj57vWLn7FOmcMtOnTR0+fnhP7xFTqFCtLrapYt9rNrFIl8GJVVv2Rrvt/ds3nD5+GEsraypXr611cTqVfRrWbj9Ax+Z1aVnPlZmL3anoWgOAfAULs3LzX8ycNIoVi+aQN4MVdqns2bL/FOkzZNT58/odjUbDrVu3yJw5MyqViuHDh1OkSBEaNGjArl27aNWqlRS9Uyg/v+j71ajV6mgrsL969OgRwA/bl9jY2JAqVaqoMT8TGBjI27dvyZs3L/r63/fp/3rsb4+ji3nhS6sR+L61ydc5zM3NcXBw0CqTtry8vDA3N8fCIvoeL6dPnwagVatWUbfVr1//yx4Ed+7EeJ6v9GL9yP+ZP38+Go2Gvn37smDBAqpXrw58+SavUqVKtGzZklWrVnHhwgVUKhWjR4+mcOFff0MohBBCAOgbGNCwQ0/OHv6LNy+fKR1HJBG+Pt70a18fr/dvmbxoHRY/Wb0lRHxTqVSonSsT/voGkQEflI6TLOnp6VGjaXvOHd3Hx/dvlY4jhEhkajZrT42m7dA3MMDX24s6rbpQr21X1i+cxoaFf/7ysVfPn+bQni30GzMdpyzOjOvfkVfPnzBjxVYatuqULAreP5PGMS1NWrWnWu36MV6NbWOXirW7DlGyTHl6tGvC0nkz8PH+GHV/36FjWbfzSx/1j16ebFvvTmBggE7za0OlUtGjRw8eP37MlStXALh69Spz586lZMmSNGrUKMEziS9Smepjb2aQ4P+lMv1SdM6QIQNWVlZR/02d+uMNWH19fQGitf/4lqWlZdSYn9HmGN+O09W8z54948SJEzg5OeHq+v2VNL6+vjHKpK3g4OCojXW/evDgAb6+vjg7O0dbJG1kZISNjc13X0LERJxXep89exaVShW12vur/7Y5KViwIAsWLKB58+bMmDGDCRMmxHVqIYRIcn61y3psBIVE/H5QDGi7q3xAiHb7Mlj/YMXNj3wKCf3pfVXqN2fz0lnsdF9Er7EztTqevZmhVuM8A3W7v4RPYIhOj6ctb39t59Vtj0lt/5517Vc/pz7eHxnYoQFeH97itnkfzjmlLU5s2ZtpuarLQrvfcy//n/+ef+vJu9if2P6IhcX3K3MSgrmlKQCRqevw7NY29F+fxr5St+/GWVoqk0/Xfy/ODha/H4T2P1favr74hIRSpEYDNi+bRf8W1eg2aQG5ipT6bpy270e6puv3aZG8KXUepi1tj2ej1u71PiFY2tjRfdSf1G/XnY2LZ7Bq5lg0Gg1GxiY8e/Dr1YP/nDoCwL6dm5g5ZgDh4WGMXbSBVJmz//Lc9We0fYxSr1fa0ubzjLm5BQtWbWLBjEnMnTaOudPGYWVjS6Ys2ciYKQvpM2ambqPmPLh3G7cFM1m3cgmdew6ge/+hCfAM/t/s2bMZMmQId+/e5cWLF2TKlIkHDx5w4cIF+vbty+PHj8maNatcMZjCeHh4RBV2gR+u8k7qVq1ahUajoUOHDlGb2yaE1KlT8+bNG969exe1ivzo0aMAlC79/R5Mnz9//mnxXRtxfmbv379HrVaTMeP/X46ip6dHcHDwd2MbNGiAoaEhO3fujOu0QgghUggjtTH123bj+J4tvHv1Quk4IhHz+ehF15a18fJ8h9smKXiLxEHP0BjrwnX5dP1vgl7eUjpOsmRmYcWE9QewSe3IlnmTlY4jhEiEHDNkYuDURczddowOA8dStWFLmnXt/8vHFCpdEYcMmTBUq2nVaygLdpygUOkKCRNYYZGRkfxz/CBhobH/AkNPT4++Q8ew/5/rzF2+ng5d+5ApSzZevXzB9o2r+WvHZiIjIqhSvQ5BgQGc++eEDp+B9hwcHKhUqRIdOnSgYsWKUa0b5s2bh7OzM6NHj/5uZapI3iwtLaP997Oi99di7M9WPPv5+f22YKvNMb4dp4t5IyMjWb16NXp6evzxxx8/zRWTTNoqVuxLu7/Zs2cDEBQUxNKlS1GpVFSuXDna2NevX/P58+c4tciOc9Hb1NQUQ8PoKzEsLCzw8/MjJCT6yjNDQ0NMTU158UKKFkIIIbRXq3kHLG1s2bBoutJRRCL10fMDXVrUwsfLE7dN+8iaXTYOFImHbcnmmKTNhedx2ZsgvqRyTE+NVp15du8WPp7vlI4jhEikMmfPTYN23ekybDLZ8/267WqBEi647bvAmIXradCuOxmyZE+glMqKjIxk4rDe9P2jKSsWzojz8bJky0712g3o1ncwf85fzsa/jnL6+mP+PnkFVCqePn5I6XKVGDgycXQDyJQpU7R2FpMnT47qfSzEt37V29rHxwcvL68f9t3+lpmZGY6Ojjx79oyIiO+vDvtR/+64znvw4EFevXqFq6srTk5OPxzj7OxMQEAA7959f071q57iv9O1a1c0Gg2zZs0iV65cZM+enTt37mBvb0/Dhg2jjT1x4ssXYf/d9DIm4lz0TpcuHQEBAdF6rGTNmhWAy5cvRxv75s0bfH19v2t9IoQQQvyK2sSU5t0Gcnr/zt9eiipSHo1Gw/A+f+Dr443b5v1kcc6pdCQholHpG2CWtQThftLXOz6ZWnxZcRQZISvyhBBJz7MHd5jYqw0d65dn8pDuXD1/SpEVxicP72PP1nUUKeHC2mXz8PrwPl7myZYjF3tPXGbf6aus2rKXgkWKx8s8sTFw4EAWL17M+PHjGTx4MOXKlVM6kkiEypcvD8Dhw4e/u+/rbV/H/O44gYGBnD179rv7Dh069N1x4jrvrzaw1GaOH2XSVrVq1Rg3bhwqlYoHDx7w5s0bUqVKxYYNGzAxMYk2duPGjQBUrFgxxvN8Feeid/78+YEvjce/qlChAhqNhgkTJkS1OQkNDaVPnz5A3Kr0QgghUqYq9Vvg6JSZtXLpuviPU0f2c+X8acZOX0TmbCljFZZIelSGxkSGfkajkYJsfAn5HAR8+aJUCCGSmn2b3bl8+giP7v3LoT1b6N++Ab1a1uTDu9cJmuPB3VuYW1gxftZSQkKCeXA35bXmMjQ0pHv37owZM4bp06eTI0cOpSOJRKhy5cpkyZKFjRs3cuPGjajb/f39mThxIgYGBrRv3z7qdi8vL+7fv4+Xl1e043Tp0gWAUaNGEfpNS6Fjx45x6NAhypUrR/bs//8ZJ6bzfsvT05O9e/eSKlUq6tat+9Pn1qFDBwwMDJg8eXK0Nid37txh7dq1ZM2alUqVKv3qr+enxowZw9OnT9myZQuHDh3i0aNH37U2CQ0NpVSpUowdO5ZatWrFah7QQdG7du3aaDQatmzZEnVbz549UavVHDt2jPTp01OmTBnSpUvHrl27UKlU9OrVK67TCiGESGEMDA1p3WsoV88c5/aVc0rHEYlEWGgoc6aMpGTZSpSu8P3O40IkFuG+7zGwTI1KlXCbBaU0IcGfgS97QQghRFLTfdSfjJjrTq78hdE3MGDigjW8f/uKTg0qsn7ZHJ49ukdkZCQfPaOvvP78OYjg4M8c2LOV0JC4baqu0Wg4un83ZStXwz6NIyqVinOnjsrV+kL8gIGBAStWrCAyMpKyZcvSpUsXBg0aRIECBbhz5w7jxo2LVqxeuHAhuXLlYuHChdGOU7FiRTp16sQ///xDoUKFGDJkCO3ataNWrVpYWlqyZMmSOM37rbVr1xIWFkbbtm0xMvr5prnZs2dn3LhxPHz4kPz58zNw4EC6detG6dKlCQsLY/ny5RgYaLf58o84OTnRpEkTXF1df9gb3MjIiNGjRzN27NioDS9jI85n3TVr1mTs2LHRerlkzpyZjRs3YmFhgbe3N+fPn+fjx4+oVCqGDBlCq1at4jqtEEKIFKi0ax2y5c7PmrmT5eRbALBlrRuvXz5nwKgpqFQqpeMI8VPBH55gZJNW6RjJmqm5BQBBAT/eeCk+vHz2mJ5tG/Dk4b0Em1MIkbw8e3CHfy+fJTQkGIf0mchftBQR4eHkzFuIlbtOUqxMRdYtnU272mWoUSQTDVxy0b99Aw7u2UafP5pQJpcDlQtnYWTfTozo25Hw8PBYZ7l17RLPHj+gZr2mGBoa0qxdFza5L+Hy+dM6fMZCJB8VK1bkzJkzuLi4sHXrVhYvXoydnR3r169n5MiRWh9n2bJlzJ8/H5VKxfz589m3bx916tTh0qVL5M6dW2fzatPa5KuRI0eyfv16UqdOzZIlS9i8eTOlS5fm7NmzcWo5kpBUmnisGnh7e7N//348PDywsrKiatWqZMuWLb6mS5S+7prq6+uLpaWl0nGStQfvgpSOIESiFRTy/aYYiUlAiPYn51fOnWRAh4aMmrGMqnWb/HCMuVq7b53/9fyk1bjTT7QroPgExm11zX95+2t3PFuLH+8o/l82ZtqNy+WgXWuA7LZmWo2zVv98FUFsfP33vXXtEl1b1KZu09YMnzhbp3PERUx+nrXxKST094PigY+O5/UMDNNynHZ/f4/e+Ws1TtvfI235x+J4H28e5fn2KWRuPBLbApV//4AfsNDy91wpWR20O89NZaHd60Hu1Ca/H/Qfb549YnjTyoxw20aOQiWi3Wej5euQtq9X5moDQkNCaN+wCvfv3CR9xsxs/PsfzC3kfF8kHrp+P9I1pd7ftKXr98Hvju/5jq0LpnLuwK5ot+vp65M9X2EmLN2MsemXc63QkGD+vXyOB7euYpfakf1b3Hn24A6Zs+WgSeuO+Hh/xMLSinlTR9O2S196Dx0Xq0yDu7fhycN7bD9yCT09PcLCwiiZPRX9RkyiTefeMTqWqVo/Vhl+JoeW56ci9pSuX32df9K+GxibWST4/MGB/oyqVVDqdwnk3bt37NixgytXrvDhw5d9b1KnTk3RokVp2LAhjo6OcZ4j9mvRtWBra0vr1q2j/uzr60vhwoVRqVRcvXo1PqcWQgiRTBUtXYFKNRuwYPJwirtUxNo2ldKRhALeeLxgQJcW5MpXkAEjpygdR4ifCnx1jxd7ZmGbv0qsC95CO6nSZkClUvHe48V3Re/4cPn8ae7fucmUeSuZOLwPMycMY9yMxfE+rxAi6Qv45MOkjg0J+RxEhxHTyJK3EC/u3yZV2vQULlg0qtj9lZHamCIulSji8qWHrmvDlkR4vcEpc1b09b8Ul729PFk8cyIGhoaxzhUY4I+5hSV6el+aAhgaGlKzQTPc5k2jUvU6pMuQKdbHFkIIgLCwMIYPH86CBQuirkz5uh5bpVKxdu1aBgwYQK9evZg6deov27D8ToI2FQwPD+fGjRvRGq0LIYQQMdV31DQ0aJg/ebjSUUQC02g0/LVtA707NMbU1IxZyzaiNpb+vSJxCvF+w+P1IzF1zEbG+gOVjpPsGamNUZuYEhTglyDzfQ4KBKBMBVcGjZnGX9vWc+emLOwRQvxaZGQkbuP78zkogPHr9lGhQUucnHNRtk4TchUp9V3B+0f09PTInC17VME7MjKSGeOHoG9gQMs/uscql0ajwcvzPd5entHaCA4ZNwNzC0tWLJgRq+MKIcRXkZGR1KtXjzlz5hAWFoaxsTFlypShWbNmNGvWjDJlymBsbExYWBhz586lbt26cWprKjvpCCGESHJs7OzpPXwKR//ewfmTh5WOIxLQ7euXGDe4OyqVinmrtmNjJyv9ReKkiYzg6ZYJ6Bubk63lJPQME3d7kuRC39CQiLD4b5mg0Wg4sm8X5haWGJuaUa9pGxzSZWD3lnXxPrcQImnzfP2Sm2eOU61FJ+wc0sX5eNs3rKJn2wYc/nsno6ctwMraNlbHefvag8f37zBw9NRo+6RYWFpRpKQLL54+inNWIUTKtmTJEg4ePAjAqFGjePfuHadPn2bTpk1s2rSJ06dP8/79e8aMGYNKpeLIkSMsXhz7q+ik6C2EECJJqlqvKUXLVGDBVO03CBFJ3/4dG3BM58TWQxfInO3Hu5ILkRh43zxK0JuHZGo4FAOz73elF/HDwMCQ8DDt+sfHxvs3rzh95G9WLJjOkX27GDt9EYaGhujp6VGrQTMO7d1BaIhu+8gLIZKPz4EBbJo7EYCwUN28VqxdNpdH928zee4KqtZuGOvjPHl4F4AcefJ/d59dqtR89PoQ62MLIQSAu7s7KpWKiRMnMmHCBCwsvu/dbm5uzrhx45gwYQIajYZVq1bFej4pegshhEiSVCoVwUFB2NrZKx1FJBCNRsOJA7up1bBZVK9JIRIrzyv7sHQujrlTHqWjpCiGRmrC4nGl977t6xjVqy1LZk+mQ/cBVK5RL+q+ki6VCPD35ZXH83ibXwiRuGg0Gl48uMMut9lM+KM+03u2xOPx/Z+O3+02hzuXztBz6mIadRukkwx29mnIliMP1ev9eIN3bXm+fwdAKvs0390XFBiISqWKU5sBIYS4f/8+enp69OnT57dj+/Tpg76+Pg8ePIj1fPG6kaUQQojEQde7pweFROj0eOZq7d6OAkLCo/3ZMX1Gblw+S2hoCEZGMW8dkM/eWqtxnoHarRo89yRxr+5LZRH7TUB+xCdEt4Ula/Xv84UEfyZ1mrQ6nVfXtP15FnHk8P3KkB+56K/b30sLi9+/1nz2ek3gy9vkajNOq/GJmW0Sy69vaEh46PevTbp6vXLImhOAIeNn0KR1p2j3pc+YGYDXL5+RJVsOncwnRFzE9vwqudPF60F4WCiHN6/ixM4NfHj1AjMLKwqWKseLR/cZ26Ym9dp0pVWvoRga/v+5jc/LJxzZsoqOfUfQrGHzOGcICAnn7PGD3Lx6kUkL1/7031Hbn4Os2XMB8OTRPXLlLRjtvgquNdmxcRXXLp7F95MPJw7vZfDYP7G0svnp8XT9eUEIkfSp1WqMjY0xNzf/7Vhzc3OsrKzi9GWbfCoTQgiRZLXtPpBj+3awf/sG6rf8Q+k4Ip6pVCrUxiYEB39WOooQv/Th+lH01SakyldW6SgpTup0GXl650a8HDsyMpJ9m1aSLmNWGrXoELWB3Ff2aRwxMlLz6sWzeJlfCJE4hAR/5vj2dWyZPwUAl2p1GTBlEQaGhoSFhrBz9WK2LJ3N+9cvGfTn0qjXitULp5MmbQaaduihkxyfvL2YMaY/JcpWpmyVWnE+no2tHQDent+3MSldwZVsOXLTr1MzAgP8MTAwwPeTD3OWb/7utVB84efnh56enlbFPSFSirx583L27Fk+fvyInZ3dL8d+/PiRT58+4eLiEuv55NpgIYQQSVbGrNmpUrsxbrMncPH0UaXjiASgNjYh+HOQ0jGE+KWA14+xcMqNvpGx0lFSnCIVqvLg+kUC/T7p9Li+3l5M6NmKfy+fo8uIKRgafX9lip6eHmkzZOT5k4c6nVsIkXgE+vsyvEklNs+bRNZ8hZm86Qi9xs7CwNAQ+NJiqVmX/gyesYzzR/cxe3gPDm5by7E9m/Hz/URIcDB6eropEi+fO5mIsDCGTlkQbePJ2PLx/giApfX3q7dVKhU9B43BKXM25q7cwpwVWzh38gj9OjbF3/dTnOdOjjp16kSmTJlYv3690lGESDR69uxJZGQkEydO/O3YiRMnEhkZSc+ePWM9nxS9hRBCJGn9xkwnX5GSDOnSjPVuc6XXYDL3ZaV3sNIxhPgpTWQk/i/vYZomo9JRUqQH1y6RJkMmTMwtdXbMu9cu0q+pK4/v3mTckk0UKlX+p2PLVqrGvl1b+PiDlZJCiKQtMjKSDbPGEej3icmbjjBm1W7SZ8uBqfn37bZKVa5J34nzuHL6KEsmDWXe6H5cPX+Kj57vePq/DSPj6mvrlNcvdXN1Se78hTExNePK+X9+eH9515ps2HuKcpVrUKaCKwtW7+DWtctMHtlPJ/MnNwEBAQQGBtKmTRvOnj2rdBwhEoWmTZsyZMgQFixYQIcOHXj69Ol3Y549e8Yff/zBggULGDp0KE2axH6/ghi3N5FLV4QQQiQm5haWTF2yEfcF03CbNYErZ08yctJsMmfLrnQ0EQ+MTWSlt0jcPj25QbD3W1IXrqJ0lBTH96Mnl47to2mvYTrb7PbKP0eZ0u8PcuQvzKBpS7BL4/jDcRqNhm3rV1C1dkPWr1jIsYN7aNqms04yCCGUFxYawvJxA7h09G86jZ1Fei369les04SKdZpEPT7wwxs+eX8kS/bcOsnUuks/Ht29RZ/WtWnRqQ9/9BkWqz1uvvJ894bPQYGkSv39RpY/UqpcZdJnzBynOZMztVpNuXLlOHfuHGfPnqVMmTJKRxIiQVWqVOmn91laWrJ27VrWrl1LhgwZSJcuHSqVilevXuHh4QGAlZUVFy9epHLlyhw7dixWGWJc9JYVdEIIIRIbPT09OvYdQb4iJZkzYQjNapSibZe+dOw1CBMTU6XjCR1Sq00I/iw9vUXi9e7SfkxSpccqc36lo6Q4e1bMQ21sQtk6sV8RBBDyOYjr50/x/rUHa+ZOoohLJYbMdIu2Id1/HTuwh2mjB6Kvr49GoyG9U+Y4ZRBCJC57Vy3k2qnD9Jq2lKKVasT48YZGajJlzQFZdZcpVRpH5q//m00rF7Bq/lQO7t5MnSZtqNOsHakd0sX4eH9t34CpmTlVatbX+jGBAX6YWWi3sXRKU6BAAcaPHw/A33//zZAhQxROJETCOnnypFbjXr58ycuXL7+7/dOnT5w8eTJO7ZtiXPQeO3ZsrCcTQggh4lNxl0qs3nuG7asW4L54Ngd2b2XI+BmUrxLzDycicfL2eo/VD3pNCpEYaDQaPt45Q7qyjXXSX1Vo782zR5zYtYEmPYdhZmkd48drNBrevXjKviN/cWj7Ony9vQAoU7UOA6Yu+mXBG+DJw3sAREREAJC/cPEYZxBCJD5hoSF8ePWCJ3euk69U+VgVvOOTvr4+rbv0o2zlmuxYv5ytq5eyYfk82nUfRKsu/aJ6jWvj8N4dVKlZHxNTM60fU6hYaa5dPBeb6MnewIEDKVGiBH379uXNmzcEBQVhapp4F+P4+/vj6empdAyRjCSG+rEUvYUQQsSYqVq3ra6CQiK0Gmeu/v3blrnanK79hlOjflP+HDOI/p2aUb5KTfqPnIRT5mzRxgaEhGs1b3FH7YqsnoHaHc/LP1SrcSI6Xx9vPN+/JXuuvEpHSVDa/NzHhLY/99bqXxf5kooSzqm0GnfxkVec5wr19yY8yB/zdNJe6WfszXT78wzg/eEd8wZ1JpVjelybtf/hGM/AsB/eHhEezrxuDXj37CGREeGYmltSslo9qrXshJ1DWgyN1AREAiHRX7fTE71wUbj4l8vWK1WvS53GrTC30F1PcSHiW0p7n9Fm3hdPHuKUxZmpw4dycNcm9PT0aNGpD5ktzRMgYcxlzJqdAWNn0G3gGDYsn8fqRdM5d/IQkxauxdzJ6beP9/noxfOnj2jbc8hv//2+/XkpUqIMe7auw8f7Iza2dnF+HsmJhYUFNWrUoGbNmgBUrVqVvXv3YmOTeBZvaDQabty4wbFjx5g+ffov21EIEVOJoX4sG1kKIYRIlpwyZWXhmp3MWLKO+3du0qhKMcYO6s4rHW32IxLe142fnHPnUziJED8W9P45gGximYA+vHrBlC6NCQsNYdCCdRjGsLfs++ePePP4LhWad6bDFDfmHbxCu2GTcXDKHKNj5S1UFACXilXl6iIhkrjdG1fRpmZJJg3uxsFdm2jYujOFS5aldMVqSkf7LVNzCzr3H8WizQfx+vCOLo2q8O/1y7993InDf6NSqchftGSM5itepgIAF/6JXb/dlGDFihUAnD17ljFjxiic5v9t376dvHnzUrhwYQYPHoynpyfFi8tVSiJ50f1SCyGEECKRUKlUVK5RD5eK1di5yR33xbPZv2szdRq3olOvwVimjnm/Q6Gcx/dvY2SkximTDhtiCqFDYYG+ABiZWysbJJnTaDQ8uH6JY9vWcPXEQWzTODLCbRupHNPH+FhPb11CT0+fyq17oDYxxUitfSuAb925cRVAenkLkcRdu/AP8yYNxdzSiiN7twHglMWZfqP/VDhZzOTOXwS37ccY1bstHRq5YmVjS70mbWjdqRe2qeyjjdVoNKxfsRCXKrVi3As8tUNacucvxKIZE8mYxZnc+Qrp8mkkC3/88QceHh74+PgwePBgpeNEWbRoEXfv3sXQ0JCwsDCMjIz4+PGj0rGE0ClZ6S2EECLZUxsb06JDd/765xZ9h0/k9LED1K9YiJljBvD+zSul4wktPXlwh0zOOTEwkO/sReJkYvelWPD54xuFkyRPIcGfObl7E6NaVmNq1ya8fHiX5n1HMmHDgVgVvIP8fTm2bjF5y1ZFHYdNj729POnbsSl5ChSWXt5CJGFvX71kTN/2FCrhwuxVO6NuXzJ9LOHh2rVsSUzs7NMwb+1fjJwyj1oNmrN13XJa1i7L589B0cbdunaJ508e0rBVp1jNM2G2GwaGBqxcMEMXsZMdlUrFuHHjmDdvHunTx/y9Spc0Gg0AwcHB1K1bF5VKRcmSJVmwYAFv3rxh6NChiuYTKcfNmzfp0qULuXPnxtLSEn19/Z/+F5fPfvKpUQghRIphbGxC6069aNSyA1vXrWD10rmcOvQX20/fRq02Vjqe+I1nj+6R2TmX0jGE+CkT+y8fZj97vcbSSX5WdSXgkw/71y3l5J5NBPn5UqicKy37jSZ3cZc4bRh6assKQoM/U6/XqDjle/n8CZ+DAhk3YwlG6pi1VxFCJB7H9+8iLDSUcXNWYWltQ/UGLXj++AFtuw9Msl+4GxmpadC8HQCNW3ekcZVitKpVlpoNmlGtbmPu377JopkTcEibnkIlXGI1R5ZsOWjQvD1LZ0/mc1BgjDbCFAnn6tWrNGzYEJVKxYsXL7Czs2P//v1Ur149aoyfn5+CCUVKsXDhQgYMGEBERETUFzHxRVZ6CyGESHFMTM1o17Uv09224PvJm0O7N8f7G66IG41Gw8unj8iUNYfSUYT4KX21KSoDI8ICfJSOkmx4f3jHpM6NOLZjHS61GjN952n6zlxBnhJl41TwBgj9HIR1mrRY2TvE6Ti+Pt4A2Nhqt2mqECJxCgzww8rGDkvrLxsNjpi2CLftR3GpnDz69DtlysqyTfvIXaAw7kvmUK98QYb2bEd6p8zMW7UNPb3Yl4cqVqtNSEgwF/45ocPEQlc+fvxI+fLlcXBwoHbt2kydOhUnJye6du2qdDSRwly8eJG+ffsSERFBjx492L9/PwC2trYcPXqU9evX0759e4yMjEiVKhUbN27k+PHjsZ4vaX5dKYQQQuiAc+78lKtam5ljBnD07x30HjEF51yySWJitH3tMgID/MkrrQNEIqZSqTA0syLY573SUZKFD69eML1nSyIiIhi/dh8OOu6XbW5jR4BP3PuXvn3jgb6+PhZW1nEPJYRQjK/Px6iCd3JVqFgpChUrxeegQM6ePIJ9GkcKFCkBQEBI7Fu4mJlZABARkfTawKQEERERBAYGUqdOHTp16sSzZ89Yt24dJUqUUDqaSGHmz5+PRqOhX79+zJ49O+p2IyMjKlWqBEDLli3p06cP1apVY/To0Vy7di3W80nRWwghhOJM1fo6PV5QSIRW46zNjJnrtpFzp44ya+JwOjWowPCJs2ncumOs5i2TwUqrcXvuesbq+D9jY6bby+k9A7X7wGJvpt2Gbz4hoVqNs1Yb/fD2T95eLP5zNE3bd6dA0VJaHUv8nLk6cZ/+/ezn4L9s1Nr9XNmbaTfOy99Sq3E+gSG/vD9D0Uo8PbmNLCUqk8q54G+Pp+vf38RO29eXsA/P+bNnS9TGJgxfthW7GG6upg1zazuC/HwIDw3BwChm/w7fFoeOHthLoRIuhESqCPlP0Six/74JER+0/bmPS5FV166eP8Xx/bso61o73uZITK8HJqZmVKlZP9ptccn34tljANKmd4pLLBFPUqdOTenSpRk9ejSjR48GwNTUlIULFyqcTKQ0Z8+eRaVS0bdv32i3//eq64IFC7JgwQKaN2/OjBkzmDBhQqzmk/YmQgghUrzS5auw+cA5SrhU5PDfO3//AJGgXjx9REREBLWbtlU6ihC/la9pP+yy5efCwkEEesmGljEVERbKzUPbmNKlCeaW1oxw2xYvBW+A9DnyotFoeHrrSqyP4e31gRuXzlCxRn3dBRNCJKgTB3YzqFMT8hYqTt9RU5WOkyTlylsAaxtb/tq+Qeko4ifOnDnDo0eP2LZtG1euXOHTp09UrFhR6VgihXn//j1qtZqMGTNG3aanp0dwcPB3Yxs0aIChoSE7d8b+87kUvYUQQgjA0NCQvAWL8PL5E6WjiP944/EcAMd0snpIJH56BoaU6D4dQxMzzs/vT3jIZ6UjJRlhIcFsG9eVgwtGk7NISYYv3Yp1qjTxNl/abLmxsnfgztkjsT7GqUN7UenpUc61jg6TCSESSkhIMPMmD6d0hWpMXboJM3PtrvoR0ZmYmtHyjx7s3ryWv3dsJCwsTOlI4j9UKhXZsmWjcePGFClSBEND7a7YFEKXTE1Nv/vZs7CwwM/Pj5CQ6FdTGhoaYmpqyosXL2I9nxS9hRBCiP9xypyND+/eEBQYoHQU8Y23Hs9JldoRtbGJ0lGE0IrawppSvWfj9+YZHhcPKR0nSQgPDWHXpJ68vneN5pNX02vaUszjubeuSqWiSNUGXDm4k0Df2G0+emz/ToqWKo+Vja2O0wkh4ptGo2HV/Gl8+uhJt8HjMDBIPO1HkqLm7btRunwVxgzsRoOKhdm+YRWhIb9uCSaESFnSpUtHQEAAfn5+UbdlzZoVgMuXL0cb++bNG3x9fb9rfRITUvQWQggh/scp05c3XI/nTxVOIr718tlj0mbI+PuBQiQilumyYp+zKK+k6P1bXi+fsHVMJzxuX6bx2KVkLFAyweYu27g9IZ8DuXP2aIwf++61B7eunMe1TpN4SCaEiC8ajQaP508Y178jm1bMp1P/UWT43zmgiD1zC0tmL9/E5v1nyVOgCFNH9aexazGuXjijdDSRxKQyNcTeLOH/S2X6ZQVysWLFyJ07N4sWLVL4byL5yZ8/PwAPHjyIuq1ChQpoNBomTJgQ1eYkNDSUPn36AJAvX75YzydFbyGEEOJ/vn7gefXymcJJxFfXLvzDyYN7KF62stJRhIgxp5I18HxwhYD3HkpHSbQ+vfPAvXc9/D68ofE4NzIWSNjNaiMjvmx8bGYd85XaR//ejrGJKS5Vauo6lhBCR8JCQzl95G+2uC9i98ZVzB43iOZVCtOqWjEunDrKhPmrad2ln9Ixk5XsufPx56LVbDtyiVRpHOncvCYzxg/lc1Cg0tGE0Mrly5e5e/cuPXv2VDpKslO7dm00Gg1btmyJuq1nz56o1WqOHTtG+vTpKVOmDOnSpWPXrl2oVCp69eoV6/nk+h0hhBDJjqlaX6txQSER0f5saWUNgL+/X7TbtT2etdpIq3FK8fIP1enx7mo5Lndq7dqSfAqJnu/j+7eM7d+RfMXKUKtdj6j7zdVy+pIUafvvFhASrtU4Xf++5XIw1WrcvXfaHS+VhRGZ6jTk7o75fLywk0JdR/1wnL2Zbn+ePQO1+/vTNW1fX/77fN+9eUhkeBj9luzAwjZVjOe1iePPwdNz1wHI7pwNezNDrY+n0Wg4/NdWXCrXxNTM/KfjtP151pa8/onkRNfvC98eLzDAn0f37+C+ZDb/HDuIqZk5wZ+DSJshI2UrVaVUuSoUK1X2l7+/Im6yZMvBii0H2OS+hIXTx3P66AFGTZtPiTIVlI4WZ+fOnaNMmTJYWVnxxx9/MG7cOCwtpR+8EL9Ts2ZNxo4di4ODQ9RtmTNnZuPGjXTo0AFvb2/Onz8PfNngcvDgwbRq1SrW88lZkxBCCPE/+vr6qNXGBMtKFMWFhYXy56DOGBoaMejPJejra/fFgxCJiaHamII1m3N1zxrKtu6L2sxC6UiJzqf3bzAwNMLcxi7B5w4OCmTzvMnkK1UBx4wxa23w+P5tnj9+QI8hE+IpnRBCWxEREbx99QI7Kws+BwWyZtk8/t65ibDQUNRqY6YvXkuVmvXRaDSoVCql46Yoenp6tOrYk7KVqzO4Wxu6t6qL26Z9FC1VVulocWJn9+U9KyQkhGXLlrF582bWrFmDq6urwsmESNwsLS0ZO3bsd7c3aNCA8uXLs3//fjw8PLCysqJq1apky5YtTvNJ0VsIIYT4hompKUGBUvRWmvus8Ty+c5Mp7ruxisXqTyESi0I1W3Bx+wpuHt5O8QYdlI6T6NimdSI8LJS7546Rp0yVBJ1717LZBHzypt3QSTEuhJ04sBsra1uKlq4QP+GEEL/l7fWBLe6L+WuzO4EB/ujpfeneamObim79RlCmgiuZs+XA0OjLFRxS8FaOU6astOncizEDuxHwnysqk6IcOXLQrVs3li9fzuzZs/n777+pVq0akydPZtiwYfKzJkQs2Nra0rp1a50eU4reQgghxDdMTM35/FmK3kr6+OEdf29cSYeBY8lZoIjScYSIEwu7NOQuX5uL29zIV6UBJhbWSkdKVHKXqkTOEuXZOXcsWQuVxNg0YVoNhAYHc+XEAcrWaYp9OqcYPVaj0XDy0F+4VKmJgaFhPCUUQvyMRqNhzaIZrHebi4GBAfWad6BI6fL4vH+Nnp4eNeo3xdhYu9ZqIuG41mrInq3rGTuoOyu3HSRbjtxKR4qThQsX8vHjRwYPHszu3bspWbIkI0aM4O7du7i5uWFiIj+DQihNNrIUQgghvmFqZiYrvRX24tE9AEpVls3hRPJQvv0AwsNCOek+U+koiY5KpaJBv/EE+X3izI41CTLnkzs36FujKF5vX5HBOVeMH//i0X1ePX9C+ap14iGdEOJXAvz9mDS4G6sWTKNp++5sO3GL7kPGU9ylEo1adqBB83ZS8E6k1MbGzF6+Ccd0GRjcvTUajUbpSHGir6/P+vXrcXV1pU6dOjg4OLBx40a2b99OqVKlePTokdIRhUjxpOgthBBCfCMoMFA+LCnM4+lDjIxNsHdMr3QUIXTC3DY1FdoP5NahbTy/cV7pOImOnWMG8pWtxvVjexNkvnP7d2JibsH0naep2DDmmyOdO7IXcwtLipQqHw/phBDfenjvNg/v3uLJg7vMGN2PhmVzc+rQX4yfu4ouA0Zj8b9NyEXSYGFpxYDRU3jx9DG3rl1SOk6cGRkZsXv3bnr27EnPnj05evQohw4dIigoiCJFirB7926lIwqRoknRWwghhPif0JAQ3r3xIEOmLEpHSbHevHzGPwf3kC5TVtm8UiQrBWs0J2OBUuya3It3j+8oHSfRyVu2Ku+fP+LprcvxPtf9q+fJU6IsaTJkitXjzx3dR5lKNaL6BAsh4sfnoED6/tGEMX3a06VRJS6cOkLLTn3YfPQaFWvUVzqeiKWiJcuSxjEd+3dv4Y3HC0JDQpSOFCcGBgbMmzePVatWsXXrVpo1a8awYcOoWrUqDRs2ZOHChUpHFCLFkp7eQgghxP+89niBRqMhQ8b4LXqnstCuUOITmLg/BFx85KXlyN9vRBkaHMSDrfM4tGM91rb29Bo3K27hkgBTtW6L+kEhETo9nlLM1cqcnma31e3xPAPDo/1ZpadHg1EL2TSsLUeWTKTNrM0A2Jvptif0f+f9GS//UK3G6f51yPSHt6Z2+vK6u2veOAau3IeNWrcF5W+P5/XGgyp1m8ZqjlfPHvHyyQO6DRyj1Xilfp6FSA7WLJvH+7evAXDKnJUtB86jNjZWOJWIKz09ParXbcIm9yVsX7+SoqXKMWLSbCytbbGxtVM6Xqx16NABV1dXevfuTceOHSlcuDAODg707t2bSpUqkTt30u5hLkRSJCu9hRBCiP/xePEEQFZ6K+DK7jUc2bWJNr2Hs/TvcxRxqaR0JCF0Tm1qToHqTXj36F/Cgj8rHSdRccicnfQ58mFqYRXvc9k7puPj+7exeuzFEwcxNjGlmEtFHacSQnwrMjKStW7zsbb58o3k8ImzpeCdjDRo0Y5sOXPzR8+B/HvtEg0qFWHyiL5Kx4qz9OnTs2vXLo4ePYqZmRmfPn1i6tSp5MyZU+loQqRIsvRACCGE+B+P508xNjYhVWoHpaMka4E+Xry6e5VAny8rxVUqFTcPbqVcjfo07NBT4XRCxK/UmXMSGRGOz9sXpM4sH4K/ZZUqDZGRkfE+T5r0GXn+vw1zY+r6uVPkK1YGtVqKb0LEJz09PczMzKlQtTalylWmhHzRlKw4ZcrK+r9OAVDSpRKdm9fk4b1/FU6lO5UrV6Zy5cpoNBpUKpXScYRIsaToLYQQQvyPx4unpM+YGT09uRBKlwK8P/Dy1kVe/nsZj9uX8X71FAA9/f8/DdE3MKRm8w5KRRQiwRgYqQGIDNeuDUlKEuTvi6WdfbzPU8a1DvNG9+XVs0ekz+ys9eOCgwK5e/0Sf2jZ2kQIETcZMmXB3+8TlarXUTqKiEdFSrowbOIsZo4fSlhYGIaGum37pSQpeAuhLCl6CyGEEP/j8fxpvPfzTkkiwkJ4eXQdp4+tJzI8DLsMWXHKV4wyLXqSIW8xLFKliTbeOUP8tzUQQml6/9ugNTIiefRg1xV/Hy9e3L5G/b5j432ucjXqs2buJP5av5weo6dr/bh/r5wjPCyUgqUqxF84IQQAYWFhPLp/hzIVqyodRSSALNlyEh4ezo3L5ylWupzScYQQyYQUvYUQQoj/8Xj+hIrVZDVRXGgiIwl4/QifR1d4e34vwd5vKdmkM0XqtMHMOuluTiSErny9wiEyIkzhJIlLWHAwhsYmXDuym9L1WsXrXIZGairWacKp/TtjVPS+fu4kqdOmJ12mrPGYTggBsGTWJII/B1HBtZbSUUQCyFeoGHkLFKFfp2ZMXbCKcpVrKB1JCJEMSNFbCCGEAEJDQnjz6iUZs2h/qbv4f8He73i6byne9y4SHuSHnqEam+xFyfvHFMqVK650PCESDWPzL1c0BH76qHCSxMXKPg2p0mXEzMo2Qeazd0yHn4+31v1Ww8PC+OfgHspVry+XqwsRzzQaDbu3rKFlx55kzZ5L6TgiAaiNjVm2eR+j+nZiQOcWDBw9lebtu8nrrRAiTqToLYQQIsUyVetH/f/Xz58TGRlJzpw5o92uJBsztU6Pl8rCSKtx9mbanR6ksjBCo9Fw6/B2zi2fitrckuJ1W5OxYCnS5iyIgeGX+XKnNtHqeNZq7fKJH9P1z21QSPJov2Gu1u3pbnYta7L2ZqE/viN1BmzTpCXU4w65U9fXWa7/n1e75+vl/5N8/+HtHxKXON/xDPy+l7mf51sOzBvJ26cPKNthMJ6B4Vr/PceWhZUt4WGhBH8OwsTULOr2n70O/fPPEXy9vWjYrB3WaiOd/1wJIf6f5/u3fPLxJn+hYkpHEQnIxMSU6UvWMW/qaGaMH8rjh/cYPnE2BgbyeiuEiB159RBCCCGAp48eApA5m6z01pa/13sOLhjF0yunyefaiMqdh6M2s1A6lhCJXtZ8hXh8+7rSMRSliYzk2fWzXN+3kSeXT6I2s6TpxJVkLFAyQeZPl+nL/g3Xz52kdJXft0/4e9s6cuYrTNaceeI7mhApnoWlFalSO7Bl7XIq16indByRgPT19RkwagrZcuRh0vDeBH8OYsKsZejrJ44FKUKIpEWK3kIIIQTw7MkjrKxtsLWzVzpKkuD56hnuvZugb2BA47HLyFq8gtKRhEgysuYpxM6lMwkPD8PAwFDpOAkqPDSEOyf+4vIudz56PME+cw5cu48hd4U6qE3NEyxHttwFKFCyHGvmTsLW3oGcBYp8NyYkJJibl85y/tQRLp4+yoBxMxMsnxApmYmpGUPHz2Bw9zY8fXSfLM45lY4kEljdJq0wMTVleO8OqNXGjJo6X+lIQogkSIreQgghBPDs8QMyZ8suvQO1EOjrw8qhHTGxtKHV9A2YJlAPXiGSi6z5ChEaEsyrx/fJlDOf0nESRGR4GB4nNnLp7A6CfL3JVrwi1XqNJ32eooq97nYeMoGp/TsypE0tchYsRv223ahWvS5BAf7sWOfGtrVL8ff9RJq06WnYujPV6jVTJKcQKVGZilVJ7ZCWedPGMHfFFjk/S4FcazUgJCSYsQO7YZsqNSsXzlA6khAiiZGitxBCCMGXld5Zs8tKot8JDw1h9ejufA7wp/WsrVLwFiIWMuXIh6GRmruXz6aIondYkB933Efi+/QWBao1plj99timy6x0LJyy5WTRnn+4fOoIu9YsYdqAjqye5YTfJ2/Cw8Op07QtdZq2JbNzLim4CZHAdm9eQ62GLXBfPItjB/ZQpWZ9pSMJBdRu2IKnD++zda0bi2ZOxNjYWOlIQogkRIreQgghBPDi+VMqVautdIxEb8+iyXjcu0m3Oesxc8ygdBwhkiQjY2Pyl67IpSN/U7NNN6XjxLvXp7fj++w2BXrMo1r1KkrHiUZPT48SFatRomI1Ht25wbHt67Cxs6dJuy8rC4UQypg+bkjU/58zeZQUvVOwuk1as3rpHPbv30/Dhg2VjiOESEKk6C2EECLFCw0JwdfHmzSOjnE6zqeQUK3G2Zvp9u3Xyz9h5tVoNNw4tpcKzTuTKW8R7M2060VsozaK07xCGaZq3W4aFRQSodPj6Zq5OmFPiyvVrM+MId3wfP0S+3ROCTo3QCoL7X4vfQLVWo3z9g/56X1GVqnQRITj73Ef0G3R21qHry/FChenWOHiOjueEF/p+vU0ubt9M/pGv29fv0xRf4eJ/f0yoWXK6kyO3PnZvXu3FL2FEDGip3QAIYQQQmlenh8ASGWfRuEkiZv3u1d8DvAjY97CSkcRIskrVLoCAA9uXFI2SAJIXagyAK9OblU4iRAiqbGytpH2QoJ0Tpnw9PRUOoYQIomRorcQQogUz8vzPQD2qaXo/Svebz0AsLaP24p4IQSYW1qTIWt2Ht+6qnSUeGdgbIZd7lKYpkn4Fe1CiKQnT/6CpHFMC8DEmYv49+UnZQMJxRkaGhIcHKx0DCFEEiNFbyGEECme14cvRW87e+nf+isZcuRD38CQJzcuKB1FiGQhV4FiPLie/Fd6R4R8xufRVayzFVI6ihAiCVCpVCzfuBu1sTEXzpzEwEC6sqZ0H708SZNGFqcIIWJGit5CCCFSPM8P79HT08PWzl7pKImasZkFqdJn4t2zR0pHESJZKFGpOm+ePeL2xdNKR4lXH++eIzI0OKrNiRBC/E72nHkYOnYqG1e7cencP0rHEQrz9fFGT0/KV0KImJFXDSGEECneuzevsLVLhb5+ytkkKTYiwsP5+PoFaTJlUzqKEMlC0bJVyJa/CFsXTCMyMlLpOPHG5+EVzByzYJIqvdJRhBBJSIt2nbFLZc/Fc8n7i0Hxe7UaNmfr1q3cu3dP6ShCiCREit5CCCFStNDQUHZtXU/pcpWUjpLoeXo8JTwslLRZcykdRYhkQaVS0az3cF48uM2WeZPRaDRKR4oXnz09MHXIrHQMIUQSo1KpyOKck2ePHyodRSisebuuODk5MXjwYKWjCCGSEGmOJYQQIoqZWpmVzoEhEYrMC7B3xybevXlN594DfzomSMf57M0MdXw83b6d/yzfnUc3AciXLy9mOn4OIvkz1fL1Rde/b7pmrtbt71uJEi50GT4Zt6kjMVUb0a7fKFQqlU7niBMHC62GXfQP+eHtGo2GIE8PHDLn12WqeKPrf1+RuGj7OiQSjzz5C7J1vTsXzpykpEsFpeMkCPk5/Z6p2pRRo0bRsWNHPnz4QOrUsg+PEOL3ktRK70+fPtGnTx9KlSqFg4MDarWadOnSUalSJXbs2PHD1TF+fn4MGDCAjBkzolaryZgxIwMGDMDPz++Hc7x8+ZIePXrg7OyMsbEx5ubmZMmShVq1avHnn38SGBgY309TCCFEAomIiMBt4Wxca9TFOUdupeMkahHh4RzZ4k4Bl0qYWVorHUeIZKV2i450HDyBne6L2L5ygdJxdMrr1ilCfb2wcS6sdBQhRBLUe/AoChcrSeeW9Xn66IHScYSCTE1NATAxMVE4iRAiqUhSRW8vLy9WrVqFmZkZ9evXZ+DAgdSoUYM7d+7QuHFjunbtGm18YGAg5cuXZ86cOeTIkYP+/fuTO3du5syZQ/ny5b8rYN+8eZMCBQqwZMkS0qRJQ5cuXejWrRuFChXi9u3bDBs2jLdv3ybkUxZCCBGPjh38mxdPH9Olj1wq+St+Ph+Z2acNr589om6H3krHESJZqtemC43+6MXmpbN4//ql0nF04uOdczzY8ie2uUpik72o0nGEEEmQmZk5c5atJSwsjMsXziodRyjIx8cHfX19zM3NlY4ihEgiktT1e5kzZ+bTp08YGESP7e/vT8mSJVm+fDl9+/YlT548AEyfPp0bN24wZMgQ/vzzz6jxY8eOZcKECUyfPp3x48dH3T5gwAA+ffrE2rVradOmzXfznz9/nlSpUsXTsxNCCJHQPD+8w8DAgDz5CyodJdF6/fQhs/q2IzQkmKGLNpItfxGlIwmRbDXt0p/jf21l/YJpDJy2WOk4sRYZHsbTv5fy6uRm7PKUIWfLkUpHEkIkYRaWVlSqVoslc6dRu2FTzMyk6JkS3b9/H0dHx8TVAkzEC2u1EaZqowSfVx32Zc5ixYqhr69Pz5496dmzZ4LnELqTpFZ66+vrf1fwBrCwsKBatWoAPH78GPjSP3DFihWYm5szZsyYaOOHDx+OjY0NK1eujNYS5fz581hbW/+w4A1QqlQprK2tdfRshBBCKM0+tQPh4eH4+ngrHSVRiggPZ9mYfqhNTBi/dh+5ipZWOpIQyZqJqRmteg7l1P6dPLpzQ+k4sRIZHsYtt0G8/mc7Wev1Jm+nPzE0s1I6lhAiiRsxcQafvL1ZsXC20lGEAsLDw9m0aRNNmjRROopIAS5fvszdu3el4J0MJKmi988EBwdz/PhxVCoVuXN/6cn66NEj3rx5Q5kyZTAzM4s23tjYmHLlyvH69euoIjmAra0tAQEBvHv3LkHzCyGEUIZ9GgcAPnyQ1/0fObx5FS8f3qHT2NnYOaRVOo4QKULl+s1xypoD91njf7hfTWKm0Wh4tGM2vk9ukr/bHDJUbC4r8oQQOpE+Q0byFSrKyxdPlY4iFHDt0nk8PT1p0aKF0lGEEElIkix6f/r0iXHjxjFmzBi6detG9uzZuXnzJmPGjMHZ2Rn4UvQGov78X/8dB9CkSRPCw8NxcXFh9uzZXL58meDg4BhlCwkJwc/PL9p/QgghEqevRW/P91L0/i/PNx7sXDaLKk3bkzVPQaXjCJFi6Ovr02HAGG5fOc/5o/uUjhMjH++c4e35v8jedLBsXCmE0DnfT95YymbaKdLxw/twdHSkSBFpsyeE0F6S6un91adPn6L14jY0NGTGjBkMHDgw6jZfX18ArKx+fDmlpaVltHEAU6ZMwdvbm/Xr10cdS19fnwIFCtCgQQN69er12/YmU6dOjZZNCCESAzO1vtIRfknbfIEhETqd9/69+wCYWtgS9ItjB4SEa3U8ax33nrPR8fF8QkK1GmdtZMj8GaOxtLKhY7+Rce6pp+3fi7lamdMS00T++5HS6Prf41e/2/EpLj/PlavU4EjFarjPGkelytUxNjHlk5a/v7p+3fAM1PL1z0SPq/vdsM9ZjNyVG/x0hbe9mTK/50q9vqQ08noq4lPGTFm5f/dfpWMIBZw6eojatWujp5ck120KIRSSJF8xMmXKhEajITw8nGfPnjFhwgRGjhxJo0aNCA/X7sT8R0xMTFizZg0vXrxg2bJldOzYkdy5c3Pt2jVGjx5Nvnz5ePr015dTDR8+HF9f36j/PDw8Yp1HCCFE/Nq3azOZs+UgR578SkdJVM4c2sPVM8fpMmIKprJZlBCK6D1iCt6eH1i3dI7SUbRya8scAt6/JF/TvtLSRAgRL8pVrsbNq5d4//aN0lFEAvvk402mTJmUjiGESGKSZNH7K319fTJlysSwYcOYNGkSu3btYvny5cD/r/D+diX3t762HfnRSvD06dPTpUsXVqxYwa1bt3j8+DHlypXj1atX9O/f/5eZ1Go1lpaW0f4TQgiR+ISFhXHi0N/UqN9UCjTf+PjuDcv/HE2pyrUoWbG60nGESLHSOWWmVZe+bFwxj/v/Xlc6zi/dPrabp8e3UqDFIKwz5lQ6jhAimapepwEWllYsnTdd6SgigRkaGca49awQQiTpove3qlatCsDJkyeBH/fs/tbven5/K2vWrKxevRqA48ePxzGpEEKIxEBfXx80GoyNTZSOkmi8evKAiR3rY6RW02X4ZKXjCJHitek2kKw58jBpcDdCPgcpHeeH7p85yMH5o8hYpg6ZKzRSOo4QIhmzsLSic68BbNvgjseLZ0rHEQnE88M7Prx7S86c8qWqECJmkk3R+82bL5c4GRh86dfn7OxM2rRpOXv2LIGBgdHGBgcHc/r0adKmTUu2bNm0Or6ZmZluAwshhFCUnp4eTpmz8eLpY6WjJAoPb15mcudGmFvZ8Ofav7FL7aB0JCFSPEMjI0bNWMq7Nx64z5modJzvXN+/iT3T+pG9dFUKtR0hV80IIeJdqw7dsLG1Y+GsKUpH0VpkZCS3b15n2fwZ9O7Ykg5Na9GkRjlqli1MuULZKJwtDWULZGHl4jkEBQX+/oApzLlTXxYeVqlSReEkQoikJkkVvW/cuPHDdiXe3t6MGDECgBo1agCgUqno1KkTAQEBTJgwIdr4qVOn4uPjQ6dOnaKdnE+YMOGHPbg1Gg1Tp04FwMXFRWfPRwghhLIyZXXm+ZOHSsdQVGRkJIc2rmB6j5Y4Zc/DCLdtUvAWIhHJlDUHLTv15ujuzUpHiaLRaDi7aRGHF42jcK1W1Bk8Ez0DQ6VjCSFSABNTU5q368yxg3+j0WiUjvNTPh+92LNtI4N6dMAlf2YaV3dh2fyZBPj7YmObipx58lOuclWatv6DPoNHUcG1JnOmjsO1RB7cFszk0N+7+ef4YXy8Pyr9VBS3bcNqChUrSerUqZWOIoRIYlSaxPxO8R/9+vVjxYoVVKxYkYwZM2JmZsaLFy/Yt28fAQEBNGrUiK1bt0bt6BsYGIiLiws3btzA1dWVIkWKcPPmTQ4cOEDBggU5c+ZMtBXc1tbW+Pn5UbRoUYoUKYKtrS0fP37k+PHjPHr0CDs7O06fPk3u3Lm1zuzn54eVlRW+vr7S31sIIRKZsWPH4ubmxtu3b5WOoggvLy+aNGnCyZMn6du3L9OmTcPY2FjpWEKI/1ixYgWdO3cmIiIi6jxXKeHh4fTt25fFixczceJERo4cKSu8hRAJ6sCBA9SsWZMnT56QJUsWxXIEBwdz8OBBLly4gJmZGba2tvj4+LBv3z4uXryIRqOhcOHCVKtWjWrVqlGqVCmMjIx+erznz58zefJkVq9eTXh4OPDlivMuXbowYMAA0qdPn1BPLdE4ffo05cuX56+//qJOnTpKx0n2lK5ffZ1/87lHmJpbJPj8QQH+NC/tLPW7ZMRA6QAx0bhxY3x9fblw4QKnT58mKCgIW1tbXFxcaNu2Lc2bN4920m1mZsbJkycZP34827dv5+TJkzg4ONC/f3/Gjh37XcuSvXv3sn//fk6dOsVff/2Fp6cnarWaLFmyMGjQIAYMGICjo2NCP20hhBDxJFu2bLx79w5/f38sLBL+xEpp48eP58aNGxw7doxKlSopHUcI8QMhISGcO3cOgNDQUEW/mPLz86N58+YcPnwYNzc3OnfurFgWIUTKZWLyZT+WkJAQReYPDAxk2bJlzJw5k3fv3qFWq7GyssLb2xtjY2OqVq3KypUrqVGjBg4O2l89lylTJpYvX87ixYsJCAjAx8cHd3d3Fi5cyMKFC2nbti2jRo0iU6ZM8ffkEpGwsDDGjRtHgQIFqF27ttJxhBBJUJIqeru4uMS4vYiVlRWzZ89m9uzZvx1btmxZypYtG9t4Qgghkpi7d++SOnXqFLlvw/v371mxYgXDhw+XgrcQidjevXtxd3dn4MCBiha8r1y5Qvv27fHw8ODAgQO4uroqlkUIkbL9+++/GBkZ4ezsnGBzvn37lsOHD3PkyBEOHDiAn58fbdu2ZdiwYVE5NBoNGo0mzlfkGBoaYmNjg42NDRMnTmTw4MEsWLCAUaNG8ezZM44dO6bVcZ48eYK1tTV2dnZxyqOEmzdv0qFDB27dusWePXvkiiIhRKwkqZ7eQgghhC4dOHCAatWqKd4uQAlz5szB0NCQ3r17Kx1FCPEL1apVw8bGhrCwMEXm9/T0pHv37hQvXhx9fX3OnTsnBW8hhKJevnyJk5MTBgYJs4bv5cuXODs706FDB+7fv0+XLl14/PgxK1eujFZ4V6lU8XJOaWlpSefOnVGr1Rw/fpwLFy789jHnz5+nQIECjB49Wud54tvu3bspWrQoYWFhXLx4kVq1aikdSQiRRKW8T/lCCCEE8ObNG27evBm1AXJKsnTpUmbOnEmfPn2wsbFROo4Q4hcsLCzo06cPbm5uCXYpf2hoKHv27KFhw4akS5eOjRs3MnfuXK5evUqePHkSJIMQQvyIj48PHh4efP78OcHmXLduHRqNhtevX3PlyhWmTp1KxowZE2x+gNSpU3Pnzh1KlixJhQoVOH/+/E/HXr9+nRo1ahAYGMjz588TLqQOREZGRl2FeOXKFYoUKaJ0JCFEEpak2psIIYQQunLw4EFUKlWKWrGo0WgYNmwY06dPp3fv3owfP17pSEIILeTMmZPg4GDCwsJQq9UxemxQUBCGhoZERkby77//4uPjQ548eXB0dESlUuHn58fly5fJly8fq1atYtOmTTx//hw/Pz8KFSrEjBkzaNWqFalSpYqnZyeEENqZPHkyY8aMITIykkWLFsX5eIGBgTx+/Bhra2ucnJx+2ELj+vXr/Pnnn7Ro0ULx/b2yZs3KyZMncXV1pW7duly4cIGsWbNGG3P58mVq1qxJ9uzZSZcuHc+ePVMobezs3r2b+/fv4+7uHuP3OyGE+C8pegshhEiR9u7dS/HixZNUIad+/frkz5+f8ePHx6q34erVq5k+fTqzZ8+mf//+8ZBQCBEfvl4u7+7urlVLooiICI4dO8aqVavYtWsX4eHh6OnpER4eHjXGzs6OnDlzcv36dYKCgqJur1+/Ps2bN6d27drky5dP909GCCFi6fz58xQrVoytW7fi5OQU48dv3rwZNzc3vL298fT05M2bN1H32dvbU7RoUUJDQ3n8+DE+Pj4EBwcTGhpKsWLFmDt3rg6fSeyp1Wp27dpFqVKlqFevHv/++y8qlYq3b98yePBgNmzYQJEiRRg6dCjNmjVj6NChSkfW2ufPnxk5ciQVKlSgZMmSSscRQiQDUvQWQgiR4nh4eLB3795E8wFGG58/f2bPnj3s2bOH169fM2LECAIDA3FwcCB16tS/ffzjx4/p27cv7du3l4K3EElM1apVAejTpw9mZmbUq1cv2sZkGo2GU6dOceXKFW7evMmpU6fw8PAgd+7cTJo0KaoneOHChbGzs+P27dv8+++/3L17l+rVq1OnTh3u3LnD06dPGTx4sKyuE0IkSmFhYTx//px169bRpUsX7O3tf/sYjUZDUFAQixYtYujQoVSuXJkyZcpga2uLs7Mzzs7OeHl5ceXKFa5evYqNjQ3NmzfH3t4eY2NjTE1NadCgAebm5gnwDLVjZ2dHv3796NOnT9Rtbdu25ebNm7i5udGhQwfy589P2bJlGTx4MHfv3iV37twKJtbOuHHjePbsGTt27FA6SqIVEhJCZGQkJiYmSkcRIklQaTQajdIhkjM/Pz+srKzw9fXF0tJS6ThCCCGA4cOHs3jxYl69eoWFhYXScbTy8eNH0qRJQ0RERLTbDQ0NadOmDYMHDyZnzpz4+vpiZGQUdTL86tUr/vzzT5YvX07atGm5fv06VlZWSjwFIUQcvH//nkGDBrF+/XpUKhWTJ09m2LBh3Llzh+7du3PmzBlMTU3Jly8fxYoVo3Xr1hQvXjxWV4UIIURidPXqVebMmcOuXbswMjJiypQpdOnSBX19/R+OP3v2LP379+fy5csAjB49OtZXyyU2s2fPZvDgwUydOpVixYpRqVIltm3bRuPGjfHw8MDJyYmtW7eyZMkSLl68yIcPHzAzM1M69k99/vyZ1KlT06dPHyZPnqx0nETpzz//ZPTo0ZiZmXH06NF46XeudP3q6/ybzz3C1DzhP6MFBfjTvLSz1O+SEdnIUgghRIoSFBSEm5sbHTt2TDIFb/iyqmfnzp2kSZMGgI4dO3LhwgUmT57MgQMHyJ07NxkzZsTa2hpra2sqV65M27ZtyZo1Kxs3bmT06NFS8BYiCUuTJg1r1qzhwoULDBs2jBEjRmBhYUG+fPnw9PTk8OHD+Pn5ceHCBRYsWECJEiWSRWFHCCG+KlKkCOvXr+f58+c0atSIHj16ULx4cfbt28f58+e5ePEit2/f5vHjx3Tt2hUXFxciIyNxc3PjwIEDTJgwIdm8Lnbo0IFu3boxcuRIKlWqRK5cuWjYsCEREREMHDgQtVrN9evXOXHiBEFBQRw4cEDpyL+0f/9+AgICaNeundJREi1zc3PCwsIICgrC1dWVc+fOKR1JiERPVnrHM6W/KRNCCBHdihUr6NKlC48fPyZLlixKx4mxjx8/0qtXLzZv3kzDhg1Zvnw5ZmZmbNiwgbt371KgQAG8vb05cuQIDx8+pGPHjvTo0SNJFfiFEL936NAhbt++jYODA02aNMHIyEjpSEIIkaDOnz9Pz549uX79+nf3mZubM336dLp27Rq1L0Jy9PTpU2bNmkXDhg2pXLkyXbp0Yfny5RgaGhIWFsagQYPYs2cPZcqUwd3dXem4P1W3bl1ev37N1atXlY6SaIWHh1O4cGHCw8MxMTHh2rVr5MqVi2bNmjFs2DCdtCZTun4lK72FrknRO54p/aIhhBDi/2k0GgoUKEDmzJnZs2eP0nHiZMuWLTRv3pyFCxfSs2dPpeMIIYQQQiS4iIgIHj58SGRkJJGRkQQGBuLn50fevHlJmzat0vESVEREBAUKFMDMzIxixYpRqlQpLC0tqVu3LjNnzmTAgAGJcqX7ypUr6dSpExs2bKBly5ZKx0nUzpw5Q4UKFWjfvj3169dn27ZtbNiwgdmzZ0fr8R5bStevpOgtdE02shRCCJFiXLhwgX///ZeZM2cqHSXO8uXLB5AkNiYSQgghhIgP+vr65MqVS+kYiYK+vj63b9+OdtvXdiGDBg1i7NixVKxYEXd3d1KlSqVExO98+PCBXr160blzZyl4a8HFxYVly5bRqVMnsmTJwpo1a3j//j27du3SSdFbiORGit5CCCFSDHd3dzJkyEDlypWVjhJn9+7dA+Du3btUqFAhUa7cEUIIIYQQylm2bBl9+vTh+fPnPHnyhJkzZ1KsWDEOHz6Ms7Oz0vHYuXMnYWFhTJkyRekoSUbHjh15/fo1I0eOJHXq1DRs2JDu3bvj5eWVaL7MECKxSL7NrYQQQohvBAUFsXnzZtq1a4e+vr7SceKsRo0atG/fnl69etGqVSukW5kQQgghhPiWsbExRYoUoVGjRgwZMoTLly8DMGTIEIWTfbFlyxYqV64sxdoYGj16ND169KBz587cunULtVrNmDFjCAwM5NOnT0rHEyLRkKK3EEKIFGHHjh34+/vTvn17paPohKmpKe7u7kycOJFNmzbh7++vdCQhhBBCCJGIZcyYkVGjRrFnzx4eP36saJbQ0FDOnj1LnTp1FM2RFKlUKhYuXEj//v1ZtGgRzZo1Y8mSJZQpU4b06dMzY8YMWRAjBFL0FkIIkcxpNBqePHmCm5sb5cuXJ2vWrEpH0il/f3/MzMywsEj4zV6EEEIIIUTS0qJFCwwMDDh06JCiOe7evUtYWBiFCxdWNEdSpVKpGDVqFKamplhaWlKtWjVu3ryJvr4+Q4YM4ciRI0pHTDEuX75MzZo1sbGxwczMjOLFi7Nx48YYHSMyMpKFCxeSP39+TExMsLe3p2nTpjx69Che5n327Bnm5uaoVCq6dev203EbN26kePHimJmZYWNjQ82aNbly5UqMnpuSpOgthBAiWVu9ejXZsmXjzJkzdO7cWek4OnXmzBlmzZpF3759pae3EEIIIYT4LVNTU4oVK8bp06cVzfH8+XMAMmfOrGiOpMzW1pYxY8awaNEi+vbti7W1NVWqVMHGxoZLly4pHS9FOHnyJC4uLvzzzz80btw4qr96q1atYtSrvlu3bvTu3ZuIiAh69+5NzZo1+euvvyhWrBh3797V6bwajYYOHTr8NtOUKVNo1aoV79+/p1u3bjRt2pSzZ89SpkwZTp48qfVzU5JKI9c8xCs/Pz+srKzw9fXF0tJS6ThCCJHiuLm50bVrV27fvk3u3LmTTXHYy8uLggULkiVLFo4fP46BgexNLYQQQgghfm/ChAlMnjyZrVu3Uq9evQSbV6PREBISwpMnT+jTpw/Hjx/nwYMHZM+ePcEyJDehoaFkyZKFZs2a0apVK9RqNX379uXdu3fMmzePihUroqf3Zb1rQEAAkydPxtfXl3LlytGkSZNoex0pXb/6Ov/mc48wNU/4q1iDAvxpXtpZ6+cfHh5Ozpw5efXqFefPn6dQoULAlytxS5UqxYMHD7h79+5vN409ceIElSpVomzZshw5cgS1Wg3AsWPHcHV1pWzZspw6dUpn886fP5+BAwcyffp0BgwYQNeuXVm6dGm0MY8ePSJ37txkyZKFS5cuYWVlBcCdO3coXrw4jo6O3L9/P9F/BpWV3kIIIZI1Ozs7ABwdHZNNwTsyMpK2bdsSEhLCpk2bEv3JhhBCCCGESDyGDRtG3bp1adSoEWvWrCEiIkLrx2o0Gm7cuMGoUaM4fvz4L8d+/vwZNzc38uXLh4mJCXp6epiYmJA3b16ePn3K3r17peAdR0ZGRmTOnBkvLy8KFy5Mnjx5GD16NJGRkVSpUoUcOXLQoUMHRo0aRb58+ViwYAGHDh2iRYsWXLt2Ten4Sdrx48d58uQJLVu2jCo8A1hYWDB69GjCw8Nxd3f/7XGWL18OwKRJk6IK3gCVK1emWrVqnD59mocPH+pk3sePHzN8+HCGDBkS7bH/5e7uTnh4OCNHjowqeAPkyZOHtm3b8uTJk9/+/icGUvQWQgiRrH0ten/8+FHhJHH39UNGx44dOXDgAOvWrSNdunRKxxJCCCGEEEmIkZERmzZtonXr1rRv3x5HR0fat2/Ptm3buHPnDoGBgT98nL+/Pw0aNKBQoUJMnjyZgwcP/nBcREQEU6dOJUOGDHTr1o3s2bMzffp0li9fzrp169i1axd37tyhdu3a8fk0UwwjI6No/2bly5fnzp07nDp1ChcXF+7du8eqVavInj07t27domfPnhgbG5MvXz4FUyd9X1t8VK1a9bv7vt727QrtXx3HzMyMMmXKfHdftWrVvjtObOeNjIykQ4cOZMyYkTFjxvw208/m+FGmxEqWhgkhhEjWvhaFHz169NtLyxKrV69esXHjRtatW8ft27ext7dn/vz5VK9eXeloQgghhBAiCTIwMMDd3Z3OnTvz999/s3fvXtasWQOAnp4exYsXp3r16tSrV48CBQrw/Plz6taty4sXLxg/fjxjx47l6tWrbNq0iUaNGmFkZAR8aaHRunVr9u7dS48ePejXr1+y20g+MYmMjOT69ev069cv2u0qlYpy5cpRrly57x5z+PBhypUrh7GxcQKlTFr8/Pyi/VmtVkdbgf3V100mf/QZ08bGhlSpUv1yI0qAwMBA3r59S968eaO1mvnq67G/PU5s5507dy7nzp3jzJkzP3w+33r06BHm5uY4ODholSmxkqK3EEKIZC1btmxkypSJ/fv3U7NmTaXjRFm3bh0vXrzAwcGBNGnSYGVlxfv373nz5g2vX7+O+t/Xr1/z+PFj1Go19evXZ9q0aVStWhVDQ0Oln4IQQgghhEjCVCoVZcqUoUyZMkydOpW3b9/y5MkT7t69y5EjR5gzZw7jxo0jc+bMUf2WL1y4QJYsWYiIiGDv3r20bNmSLFmyMHHiRLJmzUrr1q159+4df/31F7Vq1VL6KSZrGo2GXbt24ePjQ8mSJbV6zPPnzzl+/DgzZ86M53SxZ6U2xExtlODzGoZ9+XyVIUOGaLePHTuWcePGfTfe19cXIFr7j29ZWlry6tWrX86pzTG+HRfbeR8+fMioUaPo27cvpUqV+mWmr3OkTp1a60yJlRS9hRBCJGsqlYpatWqxb98+FixYkGj6ek+dOpUHDx6g0Wj4dk9pY2Nj0qVLR9q0aUmXLh1FihQhX758NGjQQDZEFkIIIYQQ8cbR0RFHR0dcXFzo0qULoaGhnDp1il27dvH582dmzpwZ1Tpw/PjxjB8/ntu3bzNy5EhatWoFQLFixdi/f3+SvcIyqbhx4wZdu3bl0qVLlClTBhcXl5+Off78OVu2bEFfX58jR45gY2NDx44dEzBt0uLh4RHtc9fvVkUndpGRkbRv3560adMyadIkpeMkKCl6CyGESPZy5crFokWL8PT0/Ok31gmtQYMGLF68mNevX+Pr6xv1bbqNjU2iKcwLIYQQQoiUy8jICFdXV1xdXX86Jm/evOzZs4dz587x4MEDWrduLVckJoAJEybw/v17Dh06hKur608/P3h5eVGhQgU8PT0xNDQkMjKSRYsWYWZmlsCJkw5LS0utFht9XWn9sxXPX6+OiOsxvh0Xm3nnz5/PhQsXOH78OKampr/M8+0cMcmUWMlGlkIIIZI1Ly8vJkyYQN26dbG3t1c6TpQsWbLg6+tLWFgYjo6O5MyZE1tbWyl4CyGEEEKIJKd06dJ06NBBCt4JRKVS8eLFC6ZOncqaNWv4P/buO76p6v/j+Kt775buRUsphbLLLnuj/BQHIIooogwn4EIFVJQhKIqIgKgoAjIUUYbsvYqMWqCle5fuPZPm90e+DVTKbhtaPs/H4z6a5N6ccxJK2r7vuZ9TWFhY43EnT54kPj6ew4cPk5ubS35+Ps8880w9j7Zxullt65ycHDIzM295xYOZmRnOzs7ExsaiVCqv219T/e477ffcuXOoVCr69OmDjo6OZuvTpw8Ay5cvR0dHh0ceeaRaH4WFhaSlpd3WmO5XEnoLIYRo1N5++20UCoXmh/n9Ys+ePXTs2LFBnCEXQgghhBBC3D9++uknVq9eja6uLs8//zyurq6cPXv2uuOq/tbIycmp7yE2er169QLUC4P+V9VjVcfcqp2ioiKOHj163b6///77unbutN9evXoxfvz467aq9a78/f0ZP358tSs6btZHTWO6X+mori0kKmpd1WUFeXl5UotVCCG0wM3Njaeffpp58+ZpeyjVeHl5MXz4cL766ittD0UIIYQQQgjRQCUkJDBs2DAsLCw4cuQIurrq+a0lJSUEBQVRWVnJ6dOnb1naQtv5VVX/O/6Jw8y8/vsvKsxnSAev2379CoWC5s2bk5yczIkTJ2jbti0ABQUFdO3alYiICC5cuICfnx+gvgI5MzMTe3t77O3tNe3s37+fvn37EhwczJ49ezA0VC/iuXfvXgYMGEBwcDAHDx68635v5MCBA/Tp04eXXnqJb7/9ttq+y5cv07JlS5o2bcqpU6c0J08uXLhAp06dcHZ2Jjw8HH39+7tqtsz0FkII0WhlZWWRnJxMu3bttD2U63Tq1KnaLy9CCCGEEEI0BFeuXOHIkSOkpKQg8yjrnkKhYMGCBbi5uXHmzJnr9nt4eDB9+nSOHz/O8ePHNY+/8847REVFsXHjxtuu5Sxun76+Pt999x2VlZUEBwfz4osvMn36dNq0acOFCxeYPXt2teD566+/pkWLFnz99dfV2unTpw8vvPAChw8fpl27drz11ls8++yzDBs2DEtLS5YtW3ZP/d4NPz8/Zs+ezeXLl2ndujXTpk1j4sSJdOvWjYqKClauXHnfB94gobcQQohG7Pz58wC0adOmXvvds2cPgYGBDBgwgLVr11JSUgKASqUiJSWFFStWsH//fpKSklAoFPU6NiGEEEIIIe7Fyy+/THBwMK6urjg6OvLKK69w4sQJVCoVkZGRrFy5kqeffpp27drh6elJcHAwBw4c0PawG6T4+Hi6devGu+++S2lpKe+++y6gnnG7ePFiFAoFxcXFzJs3j3bt2hEUFATA9u3b+eqrr5g/fz4tW7bU5kto1Pr06cORI0fo0aMHGzZs4JtvvsHOzo41a9bw3nvv3XY7y5cv56uvvkJHR4evvvqKbdu28fDDD3Pq1CkCAgLqrN+bee+991izZg1NmjRh2bJlrF+/nm7dunH06FFNPfD7nZQ3qWPavjxECCEeZF988QXvvfceBQUF6Onp1UufCQkJeHl5ERwcjEql4vDhw1hZWeHq6kpsbKwmAH/22WeZO3cuzs7O9TIuIYQQQgghakOvXr3Q19fntdde49ChQ6xbt46UlBTMzMwoKipCV1eX9u3bExAQgKurK99++y3jxo3j888/1/bQG5wJEybw119/8fvvv5OSksJjjz3Go48+ytatW1EqlXz66aekpqayYsUKzpw5Q0BAAAkJCXTs2JGgoCD++uuv217XSNv5VUMrbyLuf/f/XHQhhBDiLp0/f55WrVrVW+ANoKuri0ql4q233mLYsGFERUXx888/k52djY+PDz4+PgQEBODj41NvYxJCCCGEEKK2BAcH89lnn7FkyRKGDx/O/PnzOXjwIMeOHaN9+/b06NGjWmi4b98+8vLytDjihikvL4+///6bJ598ki5duqBSqejRowf79u1j/vz5JCQkMHv2bLy8vCgrK+Pjjz/Gw8ODJUuWYGtryw8//HDbgbcQjZGE3kIIIRqt8+fP07Fjx3rt08XFBWNjY6KiogDw9fXlww8/rNcxCCGEEEIIUVfef/99Nm3axPPPP8/Ro0fR09Ojb9++9O3bt8bjq2YPi9sXHR1Nnz59yM3N5ZlnngFAR0eHHTt2UFlZiaWlJT/++CPl5eUcPHiQzZs38/LLL2Nubs60adOYOnUqNjY2Wn4VQmiX1PQWQgjRKJWUlBAWFkb79u35/fff+e677ygoKKjzfnV1dfHx8WHz5s2Eh4eTlJTE888/z5w5c+q8byGEEEIIIeqasbExP/zwA6dOnWLFihW3PF6lUknofQdUKhUvv/wyurq6hIWFVZvEY25ujqWlJVeuXOH999+na9euODo6MmXKFPbu3UtMTAwff/yxBN5CIKG3EEKIRurMmTMoFAq6dOnCiy++yIQJE3B2dmb+/Pl13vfMmTO5fPkyLVq0wNfXl3Xr1jFr1ixCQ0PrvG8hhBBCCCHqWteuXenXrx87d+686XGff/45u3fv5v/+7//qaWQN3x9//MHOnTv58ssv8fDwuG5/cXExjzzyCAqFgo0bN2pKmPTt2xcHB4f6Hq4Q9y0JvYUQQjRKJ06cwNTUFF1dXTIzM/nhhx9wc3Nj3759dd73k08+SXx8PMuXL6dTp07069ePyspKvvnmmzrvWwghhBBCiPoQFBTEqVOnUCqVNzzmu+++4+mnn+bll1+ux5E1XHv37mXcuHEMGTKE4cOHX7dfoVAwevRoQkND+fPPP3F1ddXCKIVoGCT0FkII0SgdP36coKAgjhw5goGBAY8++ijJycn07t27XvqPiIhg4cKFHD58mOjoaGbNmsXMmTPrpW8hhBBCCCHq2ogRI0hPT+fTTz+9bt/evXvp3bs3MTExdOjQQQuja1gqKytZtmwZgwcPpkuXLqxfv/66RSjLysp44YUX2LZtGxs3biQoKEhLoxWiYZCFLIUQQjRKZ86cobKykqVLl9KpUyfCw8MpLCykT58+dd73Tz/9xMSJE/Hz8+PMmTO0bdtWVk4XQgghhBCNSseOHfnggw/48MMP6devH926dQPUgfdDDz2EgYEBZWVl+Pj4aHmk97fQ0FAmTZrEsWPHmDx5MosXL8bAwKDaMenp6QwfPpyzZ8+yevVqhg4dqqXRCtFwyExvIYQQjdJHH31Eu3btyM/PZ+TIkezfvx8zM7M6n2myceNGnn32WUaOHMnx48dp166dBN5CCCGEEKJRev/99+ncuTMPP/wwvXr1on///gwePJjevXuTlJTEhg0bGDJkiLaHeV+6cuUKkydPpn379uTk5HDgwAGWLl16XeANsG/fPk6ePMm8efMYM2aMFkYrRMOjo1KpVNoeRGOWn5+PlZUVeXl5WFpaans4QgjxwBo0aBC6urrs2LGjTvt57bXX2LlzJ+Hh4RJ2CyGEEEKIRi85OZkFCxaQlZVFcnIyXl5eLFu2DGNjY20P7b5TWVnJmTNn2LhxI0uXLkVfX58PPviAV155BUNDw+uOP3XqFF9//TVRUVEcP34cOzs7UlNTawzG75W286uq/nf8E4eZef33X1SYz5AOXpLfNSJS3kQIIUSjo1Ao6NixI7a2tjz66KMMGzaMI0eO1EtN7cuXL9O8eXMJvIUQQgghxAPB1dWVL7/8UtvDuO/9/fffjB8/nuTkZKysrJgyZQpvv/02tra21x178uRJpk6dyrFjx2jatCk9evQgICAAFxcXLYxciIZJQm8hhBCNzsWLFzl//jwdO3Zk2rRpvPrqqwD1Us/78uXLPProo3XejxBCCCGEEOL+V1lZydy5c/nggw8YNGgQa9eupWvXrjecra1SqXjuuefQ09Pj999/5+GHH0ZPT6+eRy1EwyehtxBCiEYnJCQEHR0d9u/fj0KhYPv27fWycvzZs2eJiYnRLOIjhBBCCCGEeHDl5eUxduxYtm7dyqxZs5g5cya6ujdfXu/QoUNcunSJffv21cukHSEaKwm9hRBCNDqnT5+mRYsWmJubA/DUU0/VST+RkZG88cYbREVFoVKpyM7OxtPTk+HDh9dJf0IIIYQQQoiGITY2lkGDBpGRkcFff/3FsGHDbut5c+fOpUWLFvTu3btuByhEIyehtxBCiEYnJCSEoKCgOmtfoVDwxRdfMHPmTFxdXXnkkUfQ0dFBR0eHYcOGoa8vP16FEEIIIYR4UJWXlzNy5EgUCgWnT5/Gx8fntp63c+dO/v77b7Zs2SJrBAlxj+SvciGEEI1KaWkpoaGhjBs3rs76mDt3LrNnz+aNN97go48+wtTUtM76EkIIIYQQQjQsM2fO5OzZsxw7duy2A2+FQsG0adPo1auXXDkqRC2Q0FsIIUSjUVpaysiRI1GpVPTt27dO+lAqlaxcuZLnn3+ehQsX1kkfQgghhBBCiIappKSEBQsWMH369Nu++jQlJYVp06Zx6dIlfv75Z5nlLUQtuHn1fCGEEKKByM/PZ8iQIezevZs//viDgICAOuln3759JCYmMmbMmDppXwghhBBCCNFwGRsb06lTJ5YvX05gYCA9e/bkkUceYfXq1SgUimrHlpSUMGfOHJo1a8aePXv4/vvvad++vZZGLkTjIjO9hRBCNHiFhYX07duXs2fPsnHjRoYOHVpnfVlaWmJmZsakSZPYsGEDgYGBddaXEEIIIYQQomHR0dFh7dq1/Pjjj+Tk5JCbm0tiYiLjxo3jk08+YciQIRgZGaGnp8fatWtJTU3ltdde47333sPa2lrbwxei0ZDQWwghRIOXnp5OfHw8lZWVPPbYYzg7O9OuXTt69OjB22+/ja5u7V3Y1LlzZ06fPs2TTz5Jp06dWLx4Mc8++yzGxsa11ocQQgghhBCi4WratCkfffRRtcfOnDnDJ598wt69eykvL6esrIyOHTsyb948mjVrpqWRCtF46ahUKpW2B9GY5efnY2VlRV5eHpaWltoejhBCNFqVlZXExsZy9uxZlixZwqFDh3B2diYyMhIzM7Na76+kpITXX3+dFStWYGBgQJs2bejcuTPvvfcezs7Otd6fEEIIIYQQQtQVbedXVf3v+CcOM/P677+oMJ8hHbwkv2tEpKa3EEKIRkFXVxcPDw/++ecfDh8+zIABAzhz5kydBN4AJiYmLF++nHPnzrF48WIcHBxYunQpISEhddKfEEIIIYQQQgghbo+UNxFCCNFojB49mj/++IN58+Yxffr0Wi1rciNt2rShTZs2JCQkcOLECQYOHFjnfQohhBBCCCGEEOLGJPQWQgjRKISFhbF582Z++OEHxo0bV699JyYmsnr1asaMGSO1vYUQQgghhBBCCC2T0FsIIUSjsHjxYlxdXRkzZky99Xn58mXmz5/PTz/9hJWVFVOmTKm3voUQQgghhBCisTEz1MfcSAtxZbm6z6CgIPT09JgyZYr8fdfASegthBCiwcvKymLNmjXMnj0bAwODOu9PoVAwfvx41qxZg6OjI/PmzeOll17C3Ny8zvsWQggh7jcREREsWbKEtm3bMnbsWAwNDbU9JCGEEOKuhISEyEKWjYSE3kIIIRq89PR0ysrK6NatW730t3LlSn7++WeWLFnC+PHjpaSJEEKIB9rMmTPZsGGD5nbbtm1p2rQpzZo1Y8KECZiammp5hEIIIYR40NT9Cl9CCCFEHbOzswMgOzu7zvvKz89n9uzZPPPMM0yZMkUCbyGEEA+04uJitm7dyvz58wkLC+Opp57CwMCAv//+m9dff50//vhD20MUQgghxANIQm8hhBANnq2tLaAuc1LXFixYQH5+PnPmzKnzvoQQQoj7XWlpKaWlpdjZ2WFkZMTYsWN55513GDFiBLq6urRq1UrbQxRCCCHEA0jKmwghhGjw9PX1sba2rtPQu6SkhLVr17Jo0SKmTp2Ku7t7nfUlhBBCNBTm5ubo6+vzwgsvXLfvzTffJDAwUAujEkIIIcSDTkJvIYQQjYKdnR2ZmZm13m5xcTGffvop3377LdnZ2QwfPpx33nmn1vsRQgghGiJDQ0MOHTpEVlYWpqammJmZYWZmhoWFBR4eHtoenhBCCCEeUBJ6CyGEaBQcHR35559/UKlU6Ojo1EqbSqWSMWPGsHPnTl566SVefvllfH19a6VtIYQQorHo2rWrtocghBBCCFGN1PQWQgjRKLz99tvs27ePxYsX11qbX331FVu3bmXTpk0sXrxYAm8hhBBCCCGEEKIBkNBbCCFEozB8+HCmTZvGW2+9RXx8fK20qVAoMDIyok+fPrXS3p3Izs5GpVJp7p84cYL33nuPmJiYeh+LEEIIIYQQQgjRkEjoLYQQotGws7NDV1cXIyOjWmnvkUceoaSkhN27d9dKe7fj1KlTDBs2DDs7Ozw9PZk0aRKvvvoq3bt357PPPqNFixa89dZb5OXl1duYhBBCCCGEEEKIhkRCbyGEEI3GV199xdixY3FycqqV9po1a0ZAQAC//fZbrbR3MyEhIQwbNozOnTsTGxvLokWLGDx4MLt372bFihXMnTuXzMxMXn/9dT777DPefPPNOh+TEEIIIYQQQgjREMlClkIIIRoNLy8vLly4UKuLWT7zzDPMmDGDNm3a8MYbb9Rau/81ePBgsrOz+fHHH8nJyWHu3LkYGRmxbt06dHR0CAkJ4aWXXuLw4cOYm5szZcqUOhmHEEIIIYQQQgjR0MlMbyGEEI3GzJkzOX/+PG+99Ra5ubl33U5ubi4ff/wxI0eO5OzZs6hUKqZNm8bAgQNrb7D/8dprrwHw+uuvM23aNIYOHYqLiws9evSge/fumlrlI0eO5MCBA7Rp06bOxiKEEEIIIYQQQjRkMtNbCCFEozF48GC++uorJk+ezLfffsuLL77I66+/jru7+209PyIighUrVrBy5UqKi4sxNDTE2NgYV1dXkpOTiYuLo7KyEl3d2j9nPHPmTHx8fNi1axdvv/02AQEBlJeX88cff+Dh4UHbtm1rrVa5EEIIIYQQQgjRmOmoVCqVtgfRmOXn52NlZUVeXh6WlpbaHo4QQjwQvvrqK1577TVMTEwoLy9n4sSJzJkzB2tr6xqPz8jIYOTIkezfvx8DAwMqKiqwt7dn5MiRpKWlceTIESwtLTlx4gS2trb1+2KEEEIIIYQQoo5pO7+q6v/Qv0mYW9R//4UF+fQMdJP8rhGR8iZCCCEanQ0bNgBQUlKCUqnk22+/pWnTpvz888/UdK538+bNHDp0iODgYKytrVm1ahWJiYl8/fXXbNq0iaNHj5KVlcUzzzxT4/OFEEIIIYQQQghx/5DQWwghRKNz+PBhFi9erLlvb29PTk4OY8eOpXXr1mzatIm8vDzN/rCwMLy9vTl27Bjvvfcezz//PMbGxpr9Pj4+/PTTT2zfvp0ff/yxHl+JEEIIIYQQQggh7pSE3kIIIRodHR0dXnvtNXbv3o2NjQ1mZmbMmTMHPz8/wsLCeOKJJ7CxsSEwMJB3332X7du3k5WVhZ2dHS+88EKNbQ4bNoxnn32W119/nXPnztXvCxJCCCGEEEIIIcRtk9BbCCFEo9W/f39CQkIwMTFhzpw5PPzww6xfv54nn3wSGxsbwsLCmDdvHvHx8QDs3r0bMzOzG7b3xRdf4OzsTLt27Rg6dCgHDhyQcidCCCGEEEIIIcR9RkJvIYQQjZqPjw8nTpzg7bffZvny5UyYMIGWLVsSHR1NREQEX3/9NZMnT+bcuXO0bt36pm3Z2Njw77//smbNGpKTk+nTpw+dO3dm2bJlHD9+nIKCgnp6VUIIIYQQQgghhLgRHZVMUatT2l79VgghxFUZGRnMmzePpUuXoq+vz/jx43n11Vfx8fG547ZUKhW7du1iwYIFHDx4EKVSCYC3tzft2rVj8eLFuLu71/ZLEEIIIYQQQohap+38qqr/Q/8mYW5R//0XFuTTM9BN8rtGRGZ6CyGEeGA4ODiwaNEi4uLimDp1Kr/88gvNmjVjxIgR/PDDDxw6dIjk5GQqKytv2db333/PSy+9xOTJkyksLOTMmTP88MMP5OXl8ddff8msbyGEEEIIIYQQQktkpncd0/aZMiGEEDdWXFzMmjVrWLJkCWFhYZrHbWxsGDduHBMnTsTPz6/aczIzM/nll1+YPn06Hh4exMTE0KxZM0pKSsjLy6OwsFBTN1wIIYQQQgghGgJt51cy01vUNgm965i2PzSEEELcnpKSEmJjY4mKiuLw4cP88MMPZGVl4e7ujo+PD02aNKGwsJBdu3YBMHr0aFatWsXmzZs5efIklpaWWFhY0L59e/r27avlVyOEEEIIIYQQt0/b+ZWE3qK2Sehdx7T9oSGEEOLulJaW8scffxAaGkpMTAwZGRkAPPLII4wcORIHBwctj1AIIYQQQgghaoe28ysJvUVt09f2AIQQQoj7kbGxMSNHjmTkyJHaHooQQgghhBBCCCHugCxkKYQQQgghhBBCCCGEEKLRkNBbCCGEEEIIIYQQQgghRKMhobcQQgghhBBCCCGEEEKIRkNCbyGEEEIIIYQQQgghhBCNhoTeQgghhBBCCCGEEEIIIRoNfW0PQAghhBBCCCGEEEIIIUyN9DA10qv3fivL1X0GBQWhp6fHlClTmDJlSr2PQ9QeCb2FEEIIIYQQQgghhBAPvJCQECwtLbU9DFELGmx5k99//50BAwZgZ2eHiYkJ3t7ejB49msTExGrH5efnM3XqVDw9PTEyMsLT05OpU6eSn59fY7sJCQlMnjyZZs2aYWxsjLm5OU2bNmXYsGHMnz+foqKi+nh5QgghhBBCCCGEEEIIIe5Cg5vprVKpmDhxIitWrMDHx4dRo0ZhYWFBSkoKBw8eJD4+Hnd3dwCKioro1asX586dY8CAAYwePZrz58/zxRdfsH//fo4cOYKZmZmm7fPnz9O7d29yc3Pp3r07Q4YMwdDQkNjYWE6fPs327dt57LHH8PX11dbLF0IIIYQQQgghhBBCCHETDS70XrJkCStWrGDKlCl8+eWX6OlVr/OjUCg0txcsWMC5c+d46623mD9/vubxWbNm8dFHH7FgwQI+/PBDzeNTp04lNzeXn376iWeeeea6vo8fP469vX0dvCohhBBCCCGEEEIIIYQQtUFHpVKptD2I21VSUoKbmxvW1tZERESgr3/jzF6lUuHm5kZ+fj5paWnVZnSXlpbi4uKCqakpiYmJ6OjoAGBqaoqRkRE5OTm1Nub8/HysrKzIy8uTmkBCCCGEEEIIIYQQ4r6j7fyqqv/Tl1Mxt6j//gsL8uno5yz5XSPSoGp67969m+zsbB555BGUSiW//fYb8+bN49tvvyUqKqrasZGRkaSkpNC9e/dqgTeAsbExPXv2JDk5udrzbG1tKSwsJC0trV5ejxBCCCGEEEIIIYQQQoja1aDKm5w+fRoAfX192rRpQ0REhGafrq4ub7zxBgsXLgTUoTdAs2bNamyr6vHIyEjN7SeeeILFixfTo0cPJk+eTHBwMIGBgRgbG9/2GMvKyigrK9Pcv9GCmUIIIYQQQgghhBBCCCFqX4Oa6Z2eng7AokWLsLS05NSpUxQUFHDo0CH8/PxYtGgRy5YtAyAvLw8AKyurGtuqulSh6jiATz/9lLFjxxIbG8u0adPo1KkT5ubmdOjQgTlz5pCbm3vLMc6dOxcrKyvNVrWophBCCCGEEEIIIYQQQoi616BC78rKSgAMDQ3ZsmULQUFBmJubExwczKZNm9DV1WXRokV33b6JiQmrV68mPj6e5cuXM378eAICAjhz5gwffPABgYGBxMTE3LSNd999l7y8PM2WmJh41+MRQgghhBBCCCGEEEIIcWcaVOhdNWu7Y8eOuLi4VNvXsmVLmjZtSnR0NLm5uZpjr53Jfa2qsiM1zQR3c3PjxRdf5LvvviM0NJSoqCh69uxJUlISb7zxxk3HaGRkhKWlZbVNCCGEEEIIIYQQQgghRP1oUKF38+bNAbC2tq5xf9XjJSUl1Wp21+RWNb+v5ePjw48//gjAvn377mDEQgghhBBCCCGEEEIIIepTg1rIsk+fPgBcunTpun0VFRVERUVhZmaGg4MDTk5OuLi4cPToUYqKijAzM9McW1payqFDh3BxccHX1/e2+r72+UIIIYQQQgghhBBCCCHuTw1qprePjw8DBw4kKiqK7777rtq+efPmkZuby6OPPoq+vj46Ojq88MILFBYW8tFHH1U7du7cueTk5PDCCy+go6Ojefyjjz6qsQa3SqVi7ty5APTo0aMOXpkQQgghhBBCCCGEEEKI2qCjUqlU2h7EnYiOjqZbt26kp6czbNgw/P39OXv2LPv27cPT05MTJ07g5OQEQFFRET169ODcuXMMGDCADh06cP78eXbs2EHbtm05cuRItRnc1tbW5Ofn07FjRzp06ICtrS1ZWVns27ePyMhI7OzsOHToEAEBAbc93vz8fKysrMjLy5P63kIIIYQQQgghhBDivqPt/Kqq/9OXUzG3qP/+Cwvy6ejnLPldI9LgQm+AxMREZs6cyc6dO8nKysLJyYnhw4czc+ZMmjRpUu3YvLw8PvzwQzZt2kRaWhpOTk48/vjjzJo167pFLA8fPsz27ds5ePAg8fHxZGRkYGRkRNOmTRk4cCBTp07F2dn5jsaq7Q8NIYQQQgghhBBCCCFuRtv5lYTeorY1yNC7IdH2h4YQQgghhBBCCCGEEDej7fxKQm9R2xpUTW8hhBBCQFlZGXLOWgghhBBCCCGEqJmE3kIIIcR9TqlU8v3339O/f388PDwwNjamZcuWLFu2jPLycm0PTwghhBBCCCGEuK9I6C2EEELcp3Jycli1ahVt27Zl/PjxGBgY8PTTT7N8+XJUKhWTJ09m8+bN2h6mEEIIIYQQQghxX9HX9gCEEEIIARUVFZw4cYJTp04RGRnJ5cuXOXr0KAqFggEDBrB8+XJKSkrYvn07X3zxBeHh4YwaNYoRI0Zoe+hCCCGEEEIIIcR9RUJvIYQQQovCwsKYO3cumzZtqrFUSefOnWnXrh1jxowhLi4OFxcXhg4dyrx583j44YfR1ZWLtoQQQgghhBBCiGtJ6C2EEELUk8jISDZt2sSVK1fIy8sjPj6e/fv3VzvG39+fwMBAPD090dPT4/Tp06xatYrevXuzceNGOnTogI6OjpZegRBCCCGEEEIIcf+T0FsIIYSoQyqVin379jFv3jz27NmDhYUFbm5uXLp0SXOMl5cXY8eOZdSoUbRo0UKLoxVCCCGEEEIIIRo+uSZaCCGEqCOZmZn06dOH/v37k5uby88//0x6ejrPPfccAMOGDePUqVPExMTw4YcfSuAthBBCCCFuKTY2lpycHG0PQwgh7msy01sIIYSoA5mZmQwbNozY2Fj++usvhg4dqilLsmLFCsaOHcvq1au1PEohhBBCCEhMTGT//v0EBgbSqlUrDAwMtD0kcRNdunShsLCQcePGMXPmTBwdHbU9JCGEuO/ITG8hhBCiligUCrZs2cKjjz6Ki4sL4eHh7Nixg2HDhlWrw52VlUXTpk21OFIhhBDalJeXx6lTp1i/fj1fffUV77//Pq+//jqzZs1i8eLFrFmzhn379hEREUFRUZG2hysasbKyMubOnYu/vz/PPvss7du3x8bGhqeffpqdO3eiUCjqfUyVlZWEhITw+++/k56eXu/93+8yMjJIT0+nZ8+erFu3jldeeUXbQxLigRYSEsLQoUOxsbHBzMyMTp06sXbt2jtqo7Kykq+//prWrVtjYmKCg4MDTz75JJGRkbXS77lz55gxYwaDBg3CwcEBHR0devfufctxrV27lk6dOmFmZoaNjQ1Dhw7l9OnTd/TatElmegshhBD3qLS0lO+++47PP/+c2NhYOnbsyMKFCxk9ejQODg7XHd+/f3/mzJmDqakpb775phZGLIQQor6UlZVx4sQJjhw5wpEjRzh//jypqama/UZGRjg6OmJubk5eXh45OTkUFxdr9uvr69O/f39GjhzJY489hoWFhTZehriJuLg47OzsGty/zY4dO3j11VeJi4vj1Vdf5c033yQ6Opr9+/ezdu1afvnlF7y9vfn4448ZPXo0urq1O2eutLSUX3/9lfPnz1NSUkJJSQn5+fkcOXKEjIwMzXEBAQG89NJLTJ48GX39BzPCUCqVZGVlkZ6ezhdffIGFhQWrV69m7dq1vPXWW0RHR+Pj46PtYQrxwDlw4ACDBg3C0NCQUaNGYWVlxW+//caYMWOIi4tjxowZt9XOxIkTWblyJQEBAbzyyitcuXKFX3/9lV27dnHs2DECAgLuqd8tW7Ywd+5cDA0N8fPzIzMz85Zj+vTTT3nvvffw8PBg4sSJFBYWsn79erp3787ff/99W6G5tumoVCqVtgfRmOXn52NlZUVeXh6WlpbaHo4QQohapFKp+O2335g+fTqJiYk88cQTTJ8+nQ4dOlQ7LikpiWPHjpGRkUFGRgbHjh1j9+7dWFhYkJaWhqmpqZZegRBCiLqgUqn4888/2bhxI1u3biU/Px9LS0u6d+9Ohw4daNGiBf7+/vj6+mJhYVHtaiCA4uJiUlJSSElJITQ0lI0bN3L48GGGDh3KX3/9paVXJWpy8eJFgoKCcHBw4Ndff6Vz587aHtJNlZaW8ttvv7F8+XIOHTpE3759WbJkyXWBikql4syZM8yZM4ctW7bQqlUrZsyYwZNPPoment5d969SqTh//jzr169n1apVZGZm4ufnh5mZGaamppiamtKhQweGDh2Kl5cXR44cYdu2baxdu5Y2bdowc+ZMhg8ffk9juNnYEhMTSUtLIz09nbKyMnx9ffHz88PExKTG5xQWFlJQUKC5b21tfcNjQR1ex8fHc/nyZSIjI4mLi6OwsJDi4mJKSkpQKpXVjk1PTyc5OZnU1NRq+xYtWsTUqVPJz8+nY8eOGBoacvjwYWxsbGrhnRAPKm3nV1X9n76cirlF/fdfWJBPRz/n2379CoUCf39/kpKSOH78OO3atQOgoKCArl27EhERwcWLF2nWrNlN29m/fz99+/YlODiY3bt3Y2RkBMDevXsZMGAAwcHBHDx48J76vXDhAmVlZQQGBpKVlYWzszO9evXiwIEDNY4pMjKSgIAAmjZtyqlTp7CystK006lTJ5ydnQkPD7/vT0RK6F3HtP2hIYQQom4cO3aMt99+myNHjjBs2DAWLVpE8+bNqx1TVlbGokWLmDNnDiUlJRgYGODg4ECzZs144oknePzxx6UGoxBCNEILFy7kzTffpFWrVjz22GMMHz6cNm3a3FNQ99lnnzFz5kx++uknhg8frvmjWGhPYWEhQUFB6OnpYWFhQWhoKNu3b6dXr17aHlqNtm3bxksvvURycjK9e/fm1Vdf5ZFHHrnupMt/nThxgg8//JCdO3fi6+vL22+/zTPPPHPT78HKykoyMjJITEwkNjZWs+3du5fIyEhsbGwYO3YsU6ZMuWUgBHDq1CmmT5/O4cOHadq0KR06dNAExSqViiFDhvD000/j7Ox8x++LQqFg06ZNzJs3j/Pnz1+3X0dHB1dXV5ydnXFycsLBwYGUlBQuXrxIQkLCdcfb2dnh5uam2VxcXLhy5QpnzpzRzGoHMDQ0xMvLC0tLS0xNTTExMakWIOno6ODg4ICrqyuurq44OTnh6OiIs7MzXl5emuMuXrxIcHAwtra2fPnll3Tt2rXG8FulUqFUKlEoFCgUCgoLC8nJySE3N5fy8vJqx1ZWVlJeXk5FRQVKpRIjIyOMjY01X62srLC1tcXS0rLWrwAQ2qPt/Kqhhd67du1i0KBBPPfcc3z//ffV9v3666+MGjWKd999l08//fSm7Tz11FOsW7eOgwcP0rNnz2r7hgwZws6dO4mIiMDPz69W+k1LS7tl6D1jxgzmzp3L6tWrGTt2bLV9kyZN4ttvv+Xvv/9m4MCBN31t2nZ/R/JCCCHEfUalUjFz5kzmzJlDmzZt2LlzJ4MGDap2TGVlJb/88gszZ84kMTGRN954g7feegt7e/tb/mEphBCiYVCpVBw7dowrV65gYGCAgYEBYWFh7Nixg0OHDjF58mSWLl1aa/09/fTT/P777zz55JOamsuvvvoqvr6+tdaHqK64uJiEhATi4+MpKSnB0tISCwsLDAwM2Lp1Kz/++CMZGRmcPn0aDw8Phg8fztChQ3nqqafo3r07Xbp0wcXFRTObX6lUkpKSQkJCArq6utjb22NnZ4e1tbUmOFQqlSQkJJCQkIC5uTm2trY4Ojre1lVhSqWSuLg4kpOTcXFxwcPDA0NDQ86dO8fs2bP5448/GDJkCHv37r3uRP3NdOnShR07dnDmzBnmzp3Liy++yDvvvEOTJk003/tV41epVGRmZpKcnExFRYWmDUtLS7y9vQkODmbJkiX07dv3jhbL7NSpE4cOHSIkJISvv/6a1NRUTd3bkpISPvjgA9555x3at29P586d6dSpE507d8bb2xtDQ8Ma20xOTmbVqlV89913JCYmMnDgQH7//Xe8vb1p0qQJ+vr6REZGEhERQXR0NFeuXCEtLY1///0XJycnnnrqKQICArC1tdW89uzsbJKSkkhMTCQ5OZmQkBCSkpKwtbWlQ4cOPPHEE7Rq1YpmzZrh4eFRKzPWAwICCAkJ4dFHH2XYsGEA+Pj4YGRkRH5+PgUFBRQWFlabKV5bdHV1cXR0ZMyYMbzyyit4eHjUeh9C3K+qAuOagt+qx66doX2zdszMzOjevft1+wYNGsTOnTs5ePCgJvSurX5vNaYb9TFo0CC+/fZbDh48KKG3EEII0ZhMnz6dzz//nHnz5vHmm29eN7slJiaGZ599liNHjvDoo4+yfft2WrRooaXRCiGEqG35+fn88ssvLF26lAsXLlTbZ2JiQp8+ffjiiy8YP358rfbr7OzMsWPHuHTpEqtXr+b777/n66+/ZuDAgTRr1gwXFxecnZ3x9fWlW7dudzT7MjExkYyMDFq3bn3fX6p8r0pLS9m3bx8HDhzgxIkThIeHY2trq5nFW1hYSFJSEklJSTeteWpmZsaTTz7JK6+8ogmQt27dyvvvv8/u3btZtWoVVRdVGxoaYmNjQ1ZW1g0XhtTT08PQ0BClUnndrFt9fX26d+/OoEGD0NHRISIigsuXL1er/V5SUkJsbGy15+rq6uLi4kJSUhK+vr788ssvjB49+q5PwLdv356NGzcSHh7O2rVrKSoq0swGvvYC8qqZzq6urri5ueHt7Y2NjU2tnPgPCgpi9erV1z2em5vLpk2bOHz4MHv27Kl2wsnS0hJ7e3vs7e1RqVRkZWWRmZlJfn4+ZmZmjB49mkmTJtG+ffvr2nVwcKBbt273PO661rRpU86ePUtUVBQhISGcOXOGyspKLCwssLCwwNzcHENDQ/T19dHX10dPTw9zc3NsbGywtra+bta+jo4OhoaGGBgYoKenR3l5OaWlpZSWlmpqr2dnZ5Odnc2lS5dYuXIlX3zxBevWreOJJ57Q0rsgRO3Iz8+vdt/IyKjGK1uqFpms6WoVGxsb7O3tb7oQJUBRURGpqam0atWqxpNgVW1f205t9HsrkZGRmJub4+TkdFtjul817t9ohBBCiFq2ZcsWRo8ezdtvv33dvt27dzNixAjs7e05cODAfXt5sxBCiJtLTk5m165dnDhxAnt7e7y8vLC3t2fr1q1s2LCB0tJS/u///o+vvvqKtm3bUlFRQXl5Ofb29jet51sbWrRowbx585g1axZr1qxh06ZN7N+/n9TUVLKzswH1LM+JEycyevRoXF1db9jWxYsXmTdvHmvXrkWpVGJqakrnzp3p2LEjnp6ems3Ly6vBLdL4X/n5+cyaNYuVK1dSVFSEm5sbXbp0oX///uTl5ZGamkpqaioWFhZ06dIFNzc3PDw88PDwwNPTEzMzMwoKCsjPz6eoqIg2bdpgbm5erQ8TExMWLVoEqEPYs2fPcuXKFTIzM8nOzsbBwQFPT088PDyqha+5ublUVFRQUVGBnp4ezZo1w9PTk6KiInJycoiIiGDnzp188skn6Ovr07x5c/z8/DQ1VkEdrPv4+ODn54erqyspKSnExsYSExNDQEAAo0ePrrUTGv7+/nz00Ue10lZtsba25oUXXuCFF14A1O//6dOnNScvsrKyyMjIQEdHRzPD3sXFhYceeqjRlCHV1dXFz88PPz8/xowZU6999+zZkxEjRmhKtwhxL0wN9TAzqv26/bdSWabu093dvdrjs2bNYvbs2dcdn5eXB1Dts/halpaWJCUl3bTP22nj2uNqq99bycvLo0mTJrc9pvuVhN5CCCHEHRg4cCB//fUXFRUV112W+84779C2bVu2b9/e4MMBIYR4kJSXl3P06FF27NjBjh07CAsLQ0dHh5YtW5Kfn09SUhKVlZV4e3szY8YMxo0bd9MwuT6YmJgwYcIEJkyYoHmsrKyMkJAQvv32W9577z3efPNNevTowdChQ3FwcMDa2ho9PT1OnDjBoUOHOHHiBG5ubnz++ed06NCB48ePc/ToUTZv3kxiYmK18hS2trZ4enri6OiIvb09Dg4OGBsba/a3b9+exx9/vF7fg1u5cuUKR48e5ejRo6xdu5aCggKmTp3KyJEjCQgIuOOZxw4ODrd9rLW1NX369LnTIdeoX79+TJ48mcrKSnR0dG5r3P9dmPJBY21tTf/+/bU9jAeGra0tdnZ2PPfcc2zZsoW+ffvSpUsXWrdufcPyMkLcrxITE6udDJM1NBouCb2FEEKIO1C1cMfWrVt57LHHqu3LzMzEzc1NfrkXQoj7XEZGBhcvXuT8+fPs3r2b/fv3U1RUhJOTE4MHD+b999+nf//+2NnZAVBRUcGVK1dwcXG5rxdtMzIyokePHvTo0YMlS5ZoZqbPmzev2uXaVQtYTZo0iVGjRml+bnXv3p3p06cD6vrQaWlpxMfHEx8fT1xcHPHx8WRkZBAfH8/p06c1pTQqKiqYO3cuv/32G48++mj9v/D/KS0tZefOnezbt4+9e/dy8eJFADw9PRk2bBizZs26bgZfQ3I/f++JB1uvXr2Ij4/nxx9/5Oeff2bq1KlUVFRgZGREx44d6d69O926daNbt253dPJICG2wtLS8rStAqmZa32jGc9XCnPfaxrXH1Va/t1K1oOntjul+JaG3EEIIcQeqfsjX9IvQ+vXr6dOnD927d2fp0qV07ty5vocnhBD3vZCQEFavXo2Li4vmUvyWLVvWyoJu/5WVlcWBAweIjIwkKiqKyMhILl26REZGBqAuCdG9e3fef/99Bg4cSNu2bWsMFg0MDHBzc6v18dUlGxsbnn32WZ599llAHWLn5+dTWlqKk5PTLWcL6+np4erqiqur6y1rGqtUKp544gmeffZZWrRogb+/f629jtuhVCpZs2YNH3zwAYmJiXh7e9OvXz/ef/99goODG9y/nRANkZmZGVOmTGHKlCmUlpZy7tw5Tpw4wfHjx/nll19YsGABAPb29vj4+Gg2b29v3N3d8fDwwN3d/ZYlopRKJX/99ReWlpYEBwc3+nUIxP3r2trWHTp0qLYvJyeHzMzMW/78NDMzw9nZmdjYWJRK5XW/C9VUv7s2+r2VZs2acfz4cdLS0q6r632zmuL3G/l0EEIIIVAHI2FhYZSUlGgWivqvuLg4Ro8eTZs2bejXr991+7t27cqBAweYNGkSXbp0oU2bNgwdOpSHHnqIrl271soCTkII0VAVFxfz6quvsmrVKtzc3DT1ikE9w3jr1q3Y2treUx8qlYq4uDh27NjBb7/9xoEDB1AqlVhZWeHr64uvry99+/YlICCAli1b0qxZs+tKVTVWenp62NjY1EnbOjo6/PDDD3Tp0oVHHnmEU6dO1VudZIVCwdChQ9m9ezePP/44O3fufOBLewihbcbGxnTp0oUuXbrw+uuvo1KpSExM5Pjx41y+fJno6Giio6M16xFcy8HBAT8/P/z9/WnevDn29vaaBTgLCgr44osvCA8PB9Qn9x566CGefvpp+vfvL1dDiHrVq1cv5s6dy65duxg1alS1fbt27dIcczvtrF+/nqNHj9KzZ89q+/7+++/r2qmtfm81puPHj7Nr1y7Gjh17yzHdr3RU1y6zLGpd1WUFeXl5jWaBDCGEaEyWLVvGxx9/XO0X7kGDBvHDDz/g7OyseezkyZM89thjGBkZcfjwYVxcXG7YplKpZPPmzfz555/s3LmTzMxMAgICmDRpEuPGjbtu4SshhGjsiouLefjhhzl58iQLFizgxRdfRE9Pj6ysLE6cOMG4ceMwNDRk2LBhDBw4EF9fX7Kzs8nKyqKkpIThw4ffNLBdvXo1P//8M2fOnCEnJwd9fX369OnDiBEjePjhh3FxcZETj/Xg8uXLtGvXjunTp/Phhx/WeX8KhYLJkyfzww8/8NdffzFo0KA671MIUbvKyspISkoiISGBxMREYmNjuXz5MhEREURERFBYWFjt+MGDB/PRRx+hq6vLli1b2Lx5M5cuXcLX15fx48czdOhQAgMD5TP/Lmg7v6rq/2JcOhZa6L8gP58Arya3/foVCgXNmzcnOTmZEydO0LZtW3U7BQV07dqViIgILly4gJ+fH6AuhZmZmYm9vT329vaadvbv30/fvn0JDg5mz549mpJje/fuZcCAAQQHB3Pw4MG77ve/0tLSNGXODhw4UOMxly9fpmXLljRt2pRTp05pSplcuHCBTp064ezsTHh4+H1/pYWE3nVM2x8aQgghaqZQKHj11VdZtmwZzz33HIMHD6ZVq1bExcUxfvx4zM3NOX/+PKamppw5c4auXbvSoUMHNm3adNPA+78qKyvZv38/y5YtY8uWLbRq1Ypdu3bdcDVsIYRoTMrLy9m5cyfz58/n/PnzbN++/bpZTABRUVEsWbKE3bt3c+nSpev2W1pa8vrrr/Pyyy9XqwerUqnYtGkTTz75JP3796dnz560b9+erl273vOscXHnFAoFNjY2vP/++7z99tt10kd5eTnR0dFERETw1VdfcejQIVasWMHzzz9fJ/0JIbRLqVSiUCioqKhApVJdt1i8SqXi6NGjLFu2jN9++43S0lKaNGlC165dcXJy0iy826RJE1xcXDSbmZmZll7R/Uvb+VVDC71BHVgPGjQIIyMjRo8ejaWlJb/99huxsbHMmTOH9957T3Ps7Nmz+fDDD5k1axazZ8+u1s6ECRP47rvvCAgIYNiwYVy5coVff/0VY2Njjh07dt0VTHfSL0B4eDjz5s0DoKSkhA0bNuDo6MjgwYMBddmhhQsXVnvOJ598wvvvv4+HhwePP/44RUVFrFu3jpKSEv7+++9aW6y5LknoXce0/aEhhBCiZnv37qV///588803TJo0qdq+y5cv07p1a8aNG8eyZcv44IMPWLFiBUlJSfe0SGVYWBgDBgzA3t6e06dPy0rgQohbqqyspLS0FIVCgb6+PgYGBujr6993M9gKCwsJDQ3l/PnzJCQkkJqaSlpaGqdPnyYrK4vWrVuzdOlSevToccu2EhMTSU1Nxd7eHjs7O0pKSli4cCHffPMN5eXl9O/fn+DgYM6dO8eRI0dIS0vj8ccfZ8OGDffd+/KgKC8v5+TJk/z+++988cUXHD169I7riZaUlGhmdmZnZ1NSUkJJSQlFRUUkJyeTkJBAQkIC8fHxKJVKAFxdXVmzZg29e/eug1clhGhoSktLOXr0KHv27OHs2bNkZGRottLS0mrHtmvXjg0bNuDr66ul0d5/tJ1fNcTQG+DUqVPMmjWL48ePU15eTsuWLXn99dcZM2ZMteNuFnpXVlaydOlSli9fTlRUFObm5vTp04dPPvnkhjO2b7dfgAMHDtw0pPb09CQuLu66x3/55RcWL17MhQsXMDQ0pGvXrnz00UcEBQXd+o25D0joXce0/aEhhBCiZjt37mTIkCEkJibWuMDVypUrefHFF3n33XfJzs7mxIkTnDt37p77DQ0NpX379syZM4d33nnnntsTQtS+tLQ0ZsyYwbZt2xgwYAAjR47EysqKmJgYYmJi0NPT44033rjl73ZFRUUcPnyY3bt3c+HCBUxNTTEzM8Pc3Bxra2umTJmCm5sbqamp/PDDD0RERJCUlERSUhLp6ekUFxdTXl5eY9v29vaaRQadnZ2xtrbG0tISS0tLunXrRqdOnerirdFQKpUcP36cLVu2sG3bNiIiIlCpVOjr6+Pm5oazszNOTk60aNGCUaNGERgYeM99ZmZmsmnTJn799VdOnz5Nu3bt6N69O927d2fQoEEPTG3u+0lERATz589nw4YNFBUVYWtry+OPP87SpUvv6JLnkydP8tBDD5GZmQmo64+bmJhgYmKCqakpLi4ueHh44OHhQdOmTfH398ff3x9HR0c50SGEuC0FBQWkpqaSkpJCYmIiH3/8MRkZGbz00ksEBQURFBSEu7v7A/2Zou38qqGG3uL+JaF3HdP2h4YQQoia7du3j379+hEdHU3Tpk1rPObzzz9n2rRpjB07lrVr1xISEqKpmXYv3nzzTb788ksOHTpEly5d7rk9IcS9qaysJCYmhoMHD3LgwAH++OMPDAwMGDNmDHv27KlWbsPFxYXc3FxsbW359ttvGTZs2HXtFRQU8OKLL/Lbb79RXl6Oq6srHTt2pLy8nKKiIgoLC4mNjcXS0pI+ffqwdu1aDAwMaNu2La6urri5ueHo6IipqSkmJiYYGxujr6+PQqFAoVBQXl5Oeno6ycnJJCcnk5qaSn5+Pvn5+eTm5lJaWsrbb7/NBx98gKmp6Q1ft1KpvC5Ur6yspKKiQnMpeUpKimbBsdjYWJKSkkhMTCQ+Pp6CggIcHR15+OGH6d69O23btqVFixZyFcsDoKKignHjxrFu3TqcnJyYNGkSQ4cOpW3btujp6d1RW/v27WP48OG0adOGhQsX4u/vX2cLbgohRJXc3FymTp3Krl27SE5OBsDJyYnnn3+eV199FUdHRy2PsP5pO7+S0FvUNgm965i2PzSEEELU7Pfff2fEiBGkpaXd8JdalUrF888/z/r16/H29kapVFZbyONulZeX07t3b86dO8eiRYuYOHHiAz2rRIj6lJ6eztGjRzl+/Djh4eFERUURExNDWVkZurq6tG/fnkGDBjF16lRsbW1RqVSaWcxeXl6YmJgQHx/PxIkT2blzJyNHjuSLL77AysqKS5cu8e+///LVV18RFRXF7NmzGTJkCP7+/tf9H09KSmLAgAEUFBTw2muvMWHCBKytre/59SmVSj777DM++OADrKysmDRpEjY2Nly8eJFLly4RExNDcXExJSUlVFRU3Ha71tbWNG3aFHd3d9zc3HB3d6dnz5507twZXV3dex63aFiKi4uxs7MjICCAV155RTOre/jw4Xf0N09cXBzt2rUjKCiI33//XWrsCiG0IjU1lZCQEPbs2cP333+PQqFg2LBh+Pv74+vri6+vL6amppqTzwqFAlNTU80VViYmJtX26ejoYG1tjampaYP6HV/b+ZWE3qK2Sehdx7T9oSGEEKJmTz31FIcOHSIxMfGmv4wWFxfTsmVL3NzcCAsLo1u3bvzxxx/3vFJ1cXExb775Jt988w2LFy/mtddeu6f2hLiflJSUsGzZMpRKJY6Ojjg6OtK6dWucnZ3rvG+VSkV6ejrx8fEkJCQQFxdHfHw8cXFxmpAbwN3dncDAQHx8fPD19cXPz4+uXbve9kktlUrF2rVrmTp1Knl5eZSXl1P1a3VgYCBr1qyhdevWN22jvLwcXV3de/48qUlsbCxffPEFq1atQqVS4e/vT0BAAL6+vlhYWGBsbIyJiQmGhobVPgN1dHQwMDDQ1A53dHTEx8dHFoUU13nmmWdYs2ZNtcfWrl3L6NGjb/nc5ORkFi5cyIoVK7C3t+fcuXMyu1sIcV/Iyclh2bJl7N69m6ioKJKSku66LQMDA2xsbHBwcMDDwwMvLy+8vLxo2bIlXbp0wc7OrhZHfu+0nV9J6C1qm4TedUzbHxpCCPGgUqlUhISEcODAAc6ePUtMTAz6+vqakGfHjh18//33PPfcc7dsa/369YwePZrvv/+eF198kXHjxrFixYpambkxbdo0vvzyS6Kjo/H09Lzn9oSoCyqVin/++YfTp09jZmaGhYUFFhYW+Pr6Xvd9Gx0dzeOPP87FixcxMTEhLy8PAAsLC86fP4+3t3e14ysrK0lOTiY6Opq4uDjS0tI0W2ZmJsbGxlhYWGBpaYmPjw9vvPGGpnZzTk4OBw8eJDQ0lLCwMMLCwoiNja22WJWFhQWenp54eXnh4+NDly5d6N69O+7u7rXy3uTk5LBq1SpsbW0JDAykRYsWmJub10rbtaG8vBx9fX2ZjS1qXWVlJXl5eRQVFfHSSy9pSgQ0adLkhs8pKSlhwYIFzJ8/H2NjY15++WVeffVV7O3t63HkQghx+0pKSoiNjaWsrEyzoLSuri4lJSWa0mIlJSXo6+trtsrKSnJzc8nJySEnJ0dzMj4uLo64uDjy8/MB8Pf3p2vXrrRr1462bdvSpk0breZG2s6vJPQWtU1C7zqm7Q8NIYR40ERERLBmzRrWrl1LTEwMRkZGdOrUiWbNmqFUKikpKaG0tBQfHx8WLlx4W0FQdnY2dnZ2/PjjjwCMGzeu1mZnp6am4uLiwpYtW/i///u/e25PiNqkUqlYtWoVX375JWFhYejo6HDtr44GBgbMnDmT8ePHa2pPP/TQQ0RFRbF161Zat25NaWkpSUlJ9O/fnytXrmBjY6MJzYuKijR/SFaxtbXF0dERJycn7O3tKSsrIz8/n4KCAs6fP8+wYcPo3bs3W7du5dChQyiVSk3g3KpVK5o1a4anp6dms7GxaVCXFgvRkFy4cIGHHnqInJwcvv/+e0aMGHHDY8vLy3nooYc4ePAgb7zxBjNmzJC/j4QQDxyVSkVcXBzHjh3j2LFjnDhxgrCwMM0aG8HBwUyePJkRI0ZgaGhYr2PTdn4lobeobbV/LaUQQojrbNy4kU2bNnHixAlsbGw0C5W5urpiZ2enqQdnYWGBlZUV7u7uODg4VAtqKisryczMxN7eXmbs3UBMTAwBAQFYWFjw+OOPs2rVKnr27HnP79dff/0FQIcOHWjVqhXnz59n+vTpPPXUUzg4ONxT205OTpibm3P58uV7akeI2qZSqXjnnXdYsGABjz32GJ999hkDBgygoqKCwsJCCgoKWLVqFbNmzeKDDz6o9twZM2ZoSnsYGxvj6+vL3r172bJli+a5hYWFGBkZ4ePjo9m8vLwwNja+4Zi2bdvGY489xo4dO+jXrx9Llixh6NCheHh4SLAtRD07fvw4Q4YMwcvLi/379+Pl5XXDY69cucKzzz7LwYMH2blzJ3369Km/gQohxH1ER0cHb29vvL29GTNmDKBeHDg8PJzTp0/z008/MXr0aLp3786RI0e0PFohGjaZ6V3HtH2mTAhxf6gKY1588UX09PRISkoiOTmZ5ORksrOza1xMzMTEBC8vL6ysrEhJSSElJQWFQkG3bt3Ytm1brSx41thcuXIFJycnJk+ezPvvv6+pH1xcXKyp75uQkEB0dDTbt29n2bJldO/e/bp2qmoCJyQkEBsby6RJk+jbty8bN24E1LVI3dzcWL9+PSNHjrzncXfo0AEXFxe2bt0qwZ24L5w5c4aZM2eybdu2W17VEBERQWRkJKWlpZSUlGhmc95ogdh7lZWVhaGhIRYWFnXSvhDi9ixcuJA333wTZ2dnnnvuOQIDA2nSpAlNmjTBzMyM6OhoIiIiiIiI4NdffwXg559/ZuDAgVoeuRBC3L/y8vLo2bMnbm5ubNu2rV771nZ+JTO9RW2T0LuOaftDQwhxf/j9998ZN24c+vr6BAUF0a5dOwIDA9HR0aGoqIicnBxSU1PJzc2lpKSEjIwM0tLSSExMJD8/HxMTE+zs7DA3Nyc8PJwOHTrw999/18niJ0qlkoqKipvOtrxfqVQqpk6dyrfffktFRQUtW7YkNTWVjIyMGo+fMGECQ4cORaVSERkZyb///su///5LREREtZrA/v7+HD16VLOQ27fffsukSZM4ffo0HTp0uOdxr127ljFjxtx2jXEh6kJubi47duzgl19+Ydu2bTRr1ox58+bdtFyBEOLBFhoayrJly1i7dq2mRu21DAwM8PX1pXPnzsybN6/OToYJIURjcOjQIcaMGUNubi5btmyhX79+9dq/tvMrCb1FbZPQu45p+0NDCFH/Zs2axW+//Ubr1q1p2bIl1tbWmJmZUVhYyNGjR4mKiiIqKoqcnBzNcwwMDDAzM8PAwIDy8nJKS0s1NW719fUxNjbG2NiYyspKsrOzAVi0aBFTp06t1bFnZmbyf//3f4SHhzNr1iwmTZqkWTCuIcnNzWXdunWcO3cOd3d3zSJ2Hh4enDx5ssbZ2RYWFrRq1YpWrVrRsmVLzfEeHh7Y2tpSWlpKSEgIn3/+OX/88QfPPPMMP/30U62NeciQISgUCnbv3l1rbQpxMwUFBZw+fZqTJ0+yd+9eDhw4gEKhoH379rzxxhuMGjUKfX2phCeEuDWVSkVhYSHp6emkp6dTUFCguXxfPkeEEOLW9uzZw8MPP0znzp1ZvXq1Vha413Z+JaG3qG3yG4gQQtSBsLAwKisr2blzJ/n5+SgUihqPMzExQaFQUFFRQW5uLjo6Ovj7+zNkyBAGDx5M9+7dMTU1rfacsrIy0tPTcXFxue3xKBQKSkpKbloOICYmhiFDhpCTk8OwYcN44403+Prrrxk5ciTNmzfH398fX19fysrKyMzMJDMzk+zsbDp27Ii7u/ttj+VG8vLyALCysrrntqytrZk0aVKN+zw9PRk+fDgVFRUolUoUCgWVlZXY2dmRm5tLeno6ycnJJCUlERYWRmJiIv/88w/nzp1DoVDg7e3NmjVrGD169D2P81qDBg1i+vTpHDhwgN69e9dq20IUFRUREhLC2bNnOXfuHGfOnOHixYtUVlZibm5Ot27dWLx4MQ8//DAeHh7aHq4QooHR0dHRLFDr4+Oj7eEIIUSDUhV49+3bl82bNzfIK26FuB/JTO86pu0zZULci+PHj7Nz507279+Pu7s7PXr0IDg4mICAgFsuDFhcXMyCBQuwt7fHz88PPz8/3N3d0dPTu+FzVCpVo6hnnJmZiaenJ9OmTeOjjz4CoLy8nKKiIgoLC9HX18fc3BxTU1P09PRQKpUkJycTExNDdHQ0J06cYPv27aSkpGBtbc3333/Po48+etM+S0tLiYmJISoqisjISKKiooiNjSUtLU1T3kOlUtGsWTO6d+9O9+7dMTMzIy8vT7OtWrUKS0tLdu7ciY+PD6GhocyaNYuTJ0+Smpp6w7719fV55plnePPNN2nWrNldzejav38/jzzyCOXl5TzxxBNMmDCBHj16oFQqyc3NJTs7m5ycHNzd3e8o7L9WcXExJ0+eJCoqisTERJKSkkhMTOTKlSukp6eTmZmJUqms9hx7e3tcXV1p06YNXbp0oUuXLgQGBtbJrDWFQkHv3r3Jz88nNDS01tsXD6asrCy++uorlixZQk5ODsbGxrRu3Zp27doRFBRE586dadGixU0/m4UQQgghRN3466+/eOKJJ+jTpw+//fabVgNvbedXMtNb1DYJveuYtj80hLgXNwqg9fT0GD58OP369aNv3774+/tfd+wbb7zB4sWL0dfX18xyNjIy0pSa8PT0xMPDg9zcXCIiItixYwcAGzdu5PHHH7/jsVZWVnLhwgV8fHyumxmtDdOmTWPlypVcvnwZJyenO36+SqUiNDSUOXPmsGnTJrp3746FhQVmZmaYmZmhr69PWlqaZjHMzMxMzXNNTU3x9fWladOmuLi44OTkhLOzM4aGhpw6dYqjR48SGhpKZWUlurq6WFlZYWVlRWBgIKtWrcLBweG68eTn53P58mWio6MxNTXF3t4ee3t7zM3NWbduHQsXLtQE43p6ehgZGWFsbIy1tTXOzs6arWnTprRu3ZrWrVtjb29PZGQk8+fPZ/Xq1fTu3Zu+ffuyatUqoqOjMTMzo6io6LqxuLq60qlTJ/r168dzzz13w3/v9PR0QkJCOHHiBAcOHODkyZNUVFSgo6ODs7Mz7u7uuLm54ezsjIODA02aNNF8dXV1xcXFpd5/6Rw0aBB6enps3769XvsVjVN8fDxdu3YlLy+PCRMmMH78eFq0aCGlBoQQQgghtEClUpGXl0d8fDzx8fGcPn2aTz75hOHDh7Nu3Tqtz/DWdn4lobeobRJ61zFtf2gIcS+WLFlCZGQk58+f58yZMxQWFt7w2Dlz5vDee+9p7i9fvpyJEyfi4uJCt27d8PLyIjMzk5ycHHJzc8nIyODixYvV2tDR0SErKwsbGxuKi4uJj4/H2NgYT0/PGmeWV1RUcPz4cTZt2sTmzZtJSUnBwcGBqVOn8vLLL2Nubl57b8YdysnJwc/PDxsbG77//nt69OhxV+2oVCqWLl3KyZMnKSoq0mwVFRU4OTnh6uqq2Zo2bYqvry/Ozs63nDFfVFSESqXCzMysVmbXl5WVsWPHDnJzcyktLaW0tJSSkhLNAp1VW3R0tKZWuZOTE+np6TRp0oRp06bx6quvYmhoSGVlJQcPHuSff/7BxsYGOzs7bG1tsbKyIjo6mlOnTnHy5EkOHz6Mra0tL730EoaGhmRlZWm2ixcvEh8fD4CDgwO9evWid+/e9OrVi+bNm993dcorKiqYMWMGCxcu5JtvvrlhaRYh7kTHjh35559/+OKLLxgxYgTu7u6N4moaIYQQQoiGpKysjIULF7Jo0aLr1nV6+eWX+eyzz+6Lq+60nV9J6C1qm4TedUzbHxqiccnMzOTChQuoVCrs7Ow0s1KrAuGKigoyMjJIS0sjMzMTe3t7mjZtirW19U3bValUZGdnk5ycTHl5Oba2ttjZ2WFpaakJSCorK4mMjCQ5OVkTLMbHx7N161YuXrzImjVrGDNmjKbNyspKjh07xtq1a9mwYQNZWVk19m1ra0uvXr1o3bo1aWlphIaGaspyVDEzM6Nly5a0atUKS0tLIiMjiYyMJCYmBoVCgaurK4899hiDBg3izz//5Pvvv6dVq1bs3r0bW1vbe3zX7154eDjPP/88x48fx9HREWtra6ysrLC2tqZ37968+eabD9yMS4VCQVRUFKGhoYSGhuLh4cHYsWPvalZDbGws8+fPZ+3atZiammJnZ6fZfH19CQoKIigoCC8vr/s66Dt06BCvv/46//77LwsWLOD111+/r8crGgaVSsXUqVPZunUrMTExAIwaNYp169ZpeWRCCCGEEI1bSkoKFy5c4MKFC1y8eJE9e/aQmJjIpEmT6N69u+aqZycnp1uWDa1P2s6vJPQWtU1C7zqm7Q8N0TCpVCqio6M5ffo0Z86c4fz58/z777811lU2MDDA2dmZ4uLiaiUurmVjY4O3tzf29vYolUrN4n0VFRWkp6eTkpKimX17LT09PWxtbbGxsam2WVpaolAoKCsr02wKhQJ9fX309PTQ09OrdltXV5eSkhKUSiWlpaUUFRVRXFysWcSxquyEn58fXbp0wdvbW7OVlJQQFham2fLz82nWrJmmTnhVXdprf1k4f/48/fr1w9zcnNmzZzN8+HD279/Pzp07OXToEC1btuSRRx5h2LBh2NnZ1d4/XA2USiW//vor0dHR5OXlkZubS2ZmJn/99RedO3dm+fLltGrVqk7HIO4PCoWCjRs3EhUVRUpKCikpKSQkJHDu3DmCgoJYunQpQUFB2h6maGQiIiJYsmQJS5cuZf78+bz11lvaHpIQQgghRKNUUlLCuHHj2LBhAwDGxsb4+/vTpk0b3nrrLQICArQ8wpvTdn4lobeobRJ61zFtf2iI+1tlZSXZ2dmEh4cTFhbGv//+S1hYGOfPnycvLw8AT09P2rZtS2BgIIGBgbRq1QoDAwMyMzPJyMggKSmJpKQkzMzMcHJywtHREScnJ+zt7cnIyCAmJkazZWdno6+vX21zcHDQ1C92dXXFyMiIrKwssrOzNTO6c3NzycnJ0Wz5+fkYGBhgZGSk2fT19TVhetVWFbBf+7ienh7Gxsaams9mZmb07NmTIUOG4OPjU2vvbWRkJO+88w6//fab5jF/f3969erFuXPnOHnyJHp6evTo0QN/f3+aNGlCkyZNcHR0xNvbmzZt2txWCQyVSkVGRgZFRUUYGRlhaGioeU8MDAxuOGP32LFjjB07lpiYGEaNGsWXX35ZYy1t0Tikp6czatQo9u/ff93/uT59+jBy5Mj7apaHaNhiYmJYvXo1GzZsIDw8HBMTE8aOHcs333wj32dCCCGEEHXgzJkzTJo0iX///ZevvvqK3r174+3tfV+ULbld2s6vJPQWtU1C7zqm7Q8NUXtKSkqIjY0lKyuLbt263fCHV3Z2NidPnuTEiROEhYVRVlamCX2VSiUlJSWaUDknJ4fKykoA9PX1ad68Oa1ataJ169Z06NCBDh06YG9vX58vs9Gpminfp08fvLy8NI+npKTw559/smPHDhITE0lPT+fKlStUVFQA6sUgu3btSnBwMO7u7hQXF2vqaRcWFpKQkEBUVBTR0dE3rHVuYmKCi4uLZnN1dcXT01Mzi93Z2ZkBAwZw9uxZ1q1bx6hRo+rjLRH1qKSkhCVLlvDpp59iZGTEhg0b6NWrl7aHJRqZ8vJyzp07x7Fjx9iyZQsHDx7EwsKCxx57jEcffZT+/fvfFwv8CiGEEEI0NmFhYXz66aesW7cOf39/Vq9eTadOnbQ9rLui7fxKQm9R2yT0rmPa/tAQ9+bvv//m008/1ZQjqBIYGMjs2bNRqVTExsZqtqioKCIjIwGwt7enXbt2mJqaViv5YWxsrKmZXbVAn5+fH82bN8fIyEhbL1VwdTXt8PBwDh8+zOHDhzly5Ag5OTkYGRlhZmaGqakpZmZmuLu74+vri4+PDz4+PlhaWmpKvZSXl1NWVkZ2djapqamaUhZJSUnEx8dXKyWjp6fHwoULee2116SOcyNQUlLCyZMnOXDgAAcPHuTEiRMoFAomTpzIzJkzZTa/qBUpKSmak6vHjx8nJCSE0tJSjIyMCA4O5tlnn2XEiBESdAshhBBC1JEjR44wa9Ys9u3bh6urK7NmzeK5555r0Gs2aTu/ktBb1DYJveuYtj80xN27cOECnTp1om3btvTt21cTbiqVSt577z2OHTsGgLm5uWbmbtOmTenQoQNdunTBx8dHQsxGQKVSoVQqa+2Xl8rKStLS0jQnSpo3by51nBuYiooKIiMjuXjxIvHx8SQkJJCQkEB8fDwXLlygvLwcGxsbevbsSa9evRg+fHitlu4RD5bU1FTOnj3LmTNnOHPmDKdOnSI5ORkAV1dXunbtSrdu3ejatSvt2rWTk6dCCCGEEHVsx44dPPLII7Rq1Yrp06fz2GOPYWhoqO1h3TNt51cSeova1nBPQQlRxyIjIykuLmbgwIHMmjWr2r4jR44QHh6Og4MDdnZ2Em43Yjo6OrV6tl5XV1dT7qR79+611q6ofeXl5URGRnLp0iXNFhYWRnh4uKYMjpmZGZ6ennh6etKpUyeee+45evXqRatWraR2srgtSqWSzMxM0tLSSElJue57Lj09HQBra2vatWvHmDFj6Ny5M507d8bV1VXLoxdCCCGEeLCcP3+eRx99lCFDhrBhw4ZGEXYL0VjJTO86pu0zZeLezJgxg7lz55KRkSG1tYV4AKhUKnbu3MnHH3/MqVOnUCqVANjZ2dGiRQtatWql2QICArC3t5eTXgJQf+8UFBRoyhmlpKSQnJxMYmIiSUlJFBcXU15eril/VFZWRlZWFunp6Zq1HQCMjIzw8/OjRYsWtGjRgtatW9OuXTu8vLzke00IIYQQQsuCgoIoKysjJCSk0V1hp+38SmZ6i9omM73FA0+lUnHhwgW2bdvGwYMHyczMJCcnh9zcXHJzcwEk9BbiPpKdnc3Zs2eve1ylUlFcXExBQQEFBQUUFhZSUFCAUqnE0NAQQ0NDDAwMNF8rKys1IWTVtnfvXo4dO0a3bt34+uuvCQgIoEWLFlKLW1QTFRXF9u3biYmJ0ZQqiouLo6CgoNpx1tbWuLu74+bmhrW1teb70MjICENDQ+zs7HByctJsjo6OuLm53XChZCGEEEIIoT2pqamcPn2aX3/9tdEF3kI0RhJ6C61699130dXVpWvXrgwYMOC2f3CoVCqKioowMjLCwMDgjvpUqVRERkZy4sQJjh07xo4dO0hISMDU1JSePXvSpk0bbGxssLGxwdraGjc3N5o3b343L08IUQfmzZvHZ599dtNjdHV1sbCwwNzcHD09PSoqKjTBdtVtPT2960JILy8vduzYwaBBg2RWraimsrKS/fv3s3jxYrZt24ahoaFmPYfg4GDGjh2Lu7u7pnyRs7OzLCQphBBCCNGIREREANC6dWstj0QIcTsk9BZao1Kp+Pbbb8nPz6eyshIrKytGjBjBgAEDKC0tJS8vj9zcXM3XzMxM0tPTSU9P58qVK5SUlODk5MT777/PhAkTaqyllZeXp6mLevHiRcLCwjh16hTZ2dkA+Pv7M3z4cIYNG0bv3r0xNjau77dBCHGHpk2bxtq1a0lOTsbW1hZ3d3c8PDzw8PCgTZs2DB48GDc3NwmtxT1RKBScP3+eQ4cOcfDgQQ4fPkx2djaBgYF89913jB49GhMTE20PUwghhBBC1BM7OzsAvvnmGxYsWCD5QR0xMdTH1LD+40rF//oMCgpCT0+PKVOmMGXKlHofh6g9UtO7jmm7JtL97vHHHyc1NZWVK1eyfv161q1bR1RUFACmpqZYW1tjZWWFlZUVDg4ONGnSRLM5ODiwe/dufv75Z9zd3WndurWmJEnVVnWpuY6ODl5eXrRo0YJOnTrRpUsXOnXqhI2NjTZfvhDiLkVFRbF+/XoSExNJSEjQfK36P9+qVSt69uzJmDFj6Natm5ZHKxqCgoICTch96NAhjh07RkFBAcbGxnTt2pWePXvSv39/unfvLidUhBBCCCEeUAsXLuS9997D39+fI0eOYGFhoe0h1Rpt51dV/cemZGutf28XW8nvGhEJveuYtj807ncrV65k0qRJZGZmYm1tjUqlIjc3F3Nz89suW3Lx4kXmz59PTk4O1tbW1TYnJydatGhB8+bN5TJzIR4ACQkJmpm5+/btIyYmhscff5xFixbh4eGh7eE1OoWFhURFRREZGUlUVBQ6Ojr4+vrSrFkzfHx8MDc31/YQqyktLSUiIoKLFy8SFRVFVFQU0dHRREVFceXKFQAsLCzo0aMHPXv2JDg4mKCgoBqvJBJCCCGEEA+mc+fO0bVrV1588UUWL17caCZEaDu/ktBb1DYpbyLuSXFxMWVlZRgbG2NkZISuru4dPf+pp57CzMyMixcv0qpVKywtLe949nVAQACrV6++o+cIIRquoqIiLly4QGhoKJGRkRgZGWFpaYmVlRWWlpbY29szaNAgKisriY+PZ9OmTTg4OPDNN99oe+gNmlKpZNmyZezdu5fo6GgyMzNJTU3V7K86cZmXl6d5zNnZmU6dOjF69Ggefvjhej/5mJmZyYoVKzh58iQXL14kJiaGyspKAOzt7fH19cXX15cBAwbg6+tLixYtaNOmjSwkKYQQQgghbqht27Z88sknTJs2jZSUFJ5++mns7Oyws7PD1tYWW1vbO157TAhR+2Smdx3T9pmyuqJQKAgLC+PSpUtc+y1kaGioCcCtrKxwc3PD0dHxpgFCREQEFy5coLS0FGdnZ5ydnWnSpAnW1tZ3HKILIRqvt956iy1bthAVFYVKpUJXVxdPT08UCgV5eXkUFBRU+zzy9/dn8ODBDB48mN69e8sK6/fg/PnzTJw4kRMnTtC+fXu6deuGtbU1zZo102xVNQ6zsrKIjIzUbLt27eLUqVOYmZnxyCOP8PLLL9OlS5c6H/PRo0cZNGgQKpWK4OBgAgICNFuLFi2kvJUQQgghhLgnmzdvZsKECeTk5Fy3z8rKipdffpmPP/64wcwE13Z+JTO9RW2T0LuOaftDo65ERkYSEhKCtbU1HTt2pLy8nLKyMkpLSzVfMzMzKSwsxMDAABcXF5o3b469vX2N7SmVSuLi4oiNjSUrKwulUomBgQEODg74+/vj5ORUz69QCHE/KS8vx8TEhKFDhzJixAgCAwMJCAioNnO4srKSwsJC8vLy0NPTw8XFRYsjbhyys7N57733WLFiBc2bN2fFihX06NHjjtupqsG+Zs0aEhMTOXPmDM2bN6+DEV81depUNm3axD///IODg0Od9iWEEEIIIR5MCoWCrKwssrKyiI6O5tKlS1y6dInjx48TERHB559/zhtvvKHtYd4WbedXEnqL2iahdx3T9odGXcnJyeHIkSMUFBRgZ2dH586dsba2rnZM1WXuSUlJxMbGUlBQQJMmTWjfvj22trY3bFupVJKdnU16ejpJSUlkZWXh5uaGi4sLBgYGGBgYoK+vj76+vua+oaGhzAoXohGLiYnBx8eHXbt2MWDAAG0P54EQFhbG8OHDycrKYvbs2bz88sv3fJlmUVER7du3x8LCgmPHjtVprex+/fphY2PDpk2b6qwPIYQQQgjROBUVFZGVlUVFRQUVFRWUl5drbmdmZmrWh6naEhISqKioqNaGvr4+Y8eOZdWqVVp6FXdG2/mVhN6itknoXce0/aFR165cucKpU6coLCzEy8sLFxcXHB0dMTY2rnZcZWUlycnJhIaGolAoGDZsGPr6ty4pr1KpSEhI4Pz58xQWFt70WENDQ4yMjDAyMsLQ0BBDQ0P09PTQ1dVFT0+v2m1jY2NsbW2xtLSUsFyIBiAkJIROnToRFBTE//3f/zFkyBDatm0r/3/rgEqlYtWqVbz++uv4+PiwdetWPD09a639U6dO0blzZzZv3syIESNqrd3/6tq1KwqFgo0bN9b4fVJWVqaZlZOZmVnta35+vuaPmmv/0DEwMGD16tW4urrW2biFEEIIIYT2qFQqVqxYwfTp02+aQZiYmODj46NZI8bLywtHR0eaNGmi+Wptbd1gSpuA9vMrCb1FbZPQu45p+0OjPiiVSiIiIoiNjdUsYGZjY4ODgwNKpZLy8nJN+ZPi4mLKy8vp1KkTvr6+d9RPZWUlSqWSiooKFAqF5uu17V+7VVRUoFQqNc+r+lo1JgA9PT1sbGw0i03Y2dlhaWnZoH4wCfEgUCgU/PTTT/z111/s2bOHgoICfH19OX78+A3LJjVEqamp/PLLL/Tp04cOHTrUa98qlYojR44wd+5cduzYwfjx41m8eDHm5ua13lfz5s3p169fnS4uevLkSXr06IFCobit4y0sLLCzs8Pe3h4LCwsMDQ01VxMZGBhQVlbGH3/8wbZt2xg6dGidjVsIIYQQQmhHUlISzz//PLt372bChAk8/vjj1a4ur7ptY2ODs7Nzo5uAo+38SkJvUdsk9K5j2v7QqG/FxcVcuXKF1NRUsrOzNT8cqmZhV3319PS8bjZ4faqoqCAnJ4fs7GzNlp+fD4CBgQF2dnY4Ozvj7+8vAbgQ95ny8nKOHDnCiBEj6NSpE6+88gr9+vWrVt+7oVGpVKxZs4bXXnuN3NxcVCoV7dq148UXX+SZZ57BzMys1vvLzMwkNjaW2NhYwsPDWbt2LZcvX8bb25svv/yShx9+uFb7vLbvYcOGoaury19//VUnfVS5fPky8fHxNe6r+qy3t7fH1tb2lgudlpSU4OfnB8CGDRvo2rVrrY9XCCGEEEJoT1BQECkpKaxatYrBgwdrezj1Ttv5lYTeorbdur6EaFj+G9COHAnr19/ec3fvhoEDqz/2ww8wbtxtd29qaoq3tzfe3t63/RxtMDAwoEmTJjRp0kTzWHl5OdnZ2ZpL3M+ePUtFRQWtW7eun0FVVsIvv8C6dRAaChkZYGsL/v7wxBMwfjzcIpS5K3/8AT//DCEhcOUKWFqCjw88+ii89BJYWd1+W6mp8O238OefEBcHpaXg5ATBwfD889Cr182fP3s2fPjhnb8GT091fzdSXg5r1sDvv8OZM5CZCWZm4O4OQ4bAhAnq1ywaBENDQ/r27ct3333HO++8w/DhwzEyMqJPnz7069cPJycn7Ozsqm1WVlZ1egJr9+7d7N27Fzc3N816A9euPWBkZIS5uTnm5uaYmZlVu3369GmmT5/OqVOnGD16NIsXLyYkJIRly5YxadIkoqOj+eyzz+5pfBUVFcydO5fTp08TGxtLXFxctcs1raysGDZsGMuWLaN37961NmulsrKSxMREzp07xz///MPp06c5ffo0GRkZ9fKHhJ+fnyaovlcmJiacOHGCESNG0K1bN4YPH87s2bNp165drbQvhBBCCCG05+jRo5w+fZo//vjjgQy8hWiMZKZ3Hav3M2X/DXWMjNRBpI3NrZ87evT1Afkdht6NQXl5OXFxcYSGhlJRUcFjjz1Wp4utAZCSAo8/DseP3/iYgADYvFkdgteGggJ46im42UxLNzf49Vfo1u3W7f3+uzrYzs298TETJsCyZaCnV/P+uw29+/aFvXtr3nf+vPqkQWTkjZ9vYgILFsDLL99530KrVCoVly9fZtu2bWzbto0TJ05QXFx83XF6eno4ODjQrFkzmjdvXm3z9va+5wUajY2NKSsru+vnd+jQgYULF9K7d2/NY9988w0vv/wyISEh91zqZN26dTz11FMMGTKEpk2b4u3tjZeXl+Ykpc3t/Iy4AZVKRVZWFnFxccTExBAREcGlS5cIDw8nIiJC8+/RpEkTOnbsqNmCg4OvWwD5flJcXExmZiYZGRlkZmaSmJjIxYsXCQ0NZe//Pm8sLS3Jzc2VK4KEEEIIIRqw7du3M3LkSPz9/Tl27Ng9/23QUMlMb5np3djITO/GSl8fFAooK1PPHr5VmJeTA1u2VH/uA0ClUl0XbOTk5ADg7u6On59f3QfeBQXq2cahoer7TZuqZ3U3baoOw1evVu+7eBEGDYITJ8DZ+d76VCjgscfUs/sBHB3VgXRAAGRnq2ebHz0KSUkwbBgcOQItW964vT171FcVVK1WPWwYDB+unk195gx89x3k58PKler9K1bU3M6oUdC27e29hvHj1WMFddhek/Bw6N37ahDfrBmMHav+WlwMhw6p/3+UlMArr6i/9ydOvL3+xX1BR0dHE15PnToVUJeh+O8ChVlZWaSlpXH58mX++ecf1q1bR1FREaCeOd6+fXu6dOmi2Tw8PO4oyExNTeXtt99m5f++x1u3bk2fPn3o3r07+vr65OXlVSunlJWVRXZ2NuXl5Xh7e/PUU09hbm5OVFQUNjY2FBcXM2PGDJ5//vlaqe29+3//1+Pj4/H29sbT05MuXbpgbm6OoaEhlZWVNc7uVigUpKenk5aWVm1LTk4mPj6euLg44uLiNO8lgL29PS1atKBjx448/fTT+Pv7ExgYiJubm9bC4fLycpKSkkhMTCQjI4OcnJwat6ysLM3PgpKSkmpt6Orq4uPjQ0BAAO+++y4BAQF07txZAm8hhBBCiAaqtLSUd999l8WLF/PQQw+xbt26BzbwFqIxkpnedUxrM71dXdVB5pkz0L49/PPPzZ+3dOnVYPz//k9d8gK0MtP7zJkzhIeHY2pqioODA6ampujq6lbb/rtAZnl5ORUVFZSVlaFUKrGyssLBwQEHBwfs7e0xMjKioqKC/Px88vLyNFtOTo4m2LCwsMDe3h57e3tcXV3rrz7w22+rZxmDuvzHX3/BtQvHVVTAM8+oZ1yDenb2L7/cW5/LlsHkyerbAQGwb5/6++Va06fDokXq2927q4PvmpSWQvPmkJCgvr9kyfUnWS5fVr+2tDT1/V27YMCAux//sWPqMQFYW6uvZqipRnz37upjQT3be80a+O9JjDNnoH9/9YkfY2O4dAm8vO5+bKJBUKlUJCcnc/nyZcLCwjh58iTHjx8nNjYWAAcHBwIDA2nVqpVma9my5S0/x1NSUti7dy979uxhz549pKSk3PBYQ0NDKioquNGPYScnJy5evHhPs7Cr5OXlsX37dvbv38/+/fuJioq67hg9Pb1qay8olUqysrKuG5+9vT3Ozs54eXnVuNna2t7zeO9EeXk5qampJCUlVdsSExNJSEggMTGRK1euVHsdOjo6WFlZYWNjU22rqvFd9bPj2ttNmjTR6loUQgghhBCidi1evJg33ngDfX19nn/+efr27UuvXr1wcnLS9tC0QmZ6y0zvxkZC7zqm1dD73Xevho/nzkGbNjd+XocO6vAvKEhd1/uTT9SPayH03r17NxkZGTXuqzrrqqenp1kg87+bnp4e2dnZZGRkUFpaCqhLD1TdBjA3N8fKygorKytNsKGVMCMrS11CpLRUHbhGRan/7f6rsBD8/NThro4OXLgALVrcXZ9KpbrPqgD6n3/UJ0ZqOq5jR/X3DsDOneqZ5v917QmThx+GrVtr7ve339SzywG6dLl5KZdbef559fcmwJQp8PXX1x9z6hR07qy+7eQE0dFwoxMZ33+vnjkO8Nxz6vvigXTlyhVOnjzJP//8w4ULFwgLCyMyMpLKykoAHB0dsbW1xdraWrPZ2NhUu+3q6oqbmxtubm6aRSmNjIw0W9VnlY6ODpWVlRQUFNQ467hnz561Vo/6v6rqbJeWllY7eXjtbR0dHRwdHXFyctJsTZo0qbPZLyqViujoaE6dOsWpU6c4d+4cxcXFVFZW3nDLy8u7LtA2NzfHzc0Nd3d33N3d8fDw0Nx2d3fH0dERS0tL9G5UZkkIIYQQQjwQSkpK2Lp1KwcOHODAgQOEh4ejo6PDjBkz+Oijj2ptnZuGQkJvCb0bGwm965hWQ++wMHUZjNJSePVV+PLLmp8TGno1EF+2TF3S4k5C70OH1DNoDx9Wh7KlpeDgAJ06qWcljxhxfa3xaykUsH+/utTGyZNw+TKqrCwwMEBpa0uhvz8JXbsS5ueHiZkZfn5+2NvbY2VlVT2o/vFHdWD5v3Grnn2W4nPnUCxejPGBAxikp4OhITr+/uiMHg2TJtXNwpB34tqw9dln1a/hRmbNgo8+unp79uy763PfPujXT327Vy84cODGx/7ww9XSITcaX8+e6n97UP87XlOTuJrKSvVikVULTsbG3t2M6sJCdYhdVU7h7NmaS6LMnQszZqhv3+z7H9Tfs9bW6nJAlpbqBT1lRqf4n9LSUsLDwwkLCyMmJobc3FzNlpOTU+1+Xl7eTQNYd3d3/P39adWqVf2UT7pL2dnZREREEBERQWRkJKWlpTcNn42MjLC0tMTKygpLS0vNVnXfzs4OZ2dn9PWvr6qWm5vLW2+9xaZNmzTlpXx9fenQoQNWVlbXXelz7WZubo67u7vmJIObm5v8giqEEEIIIe5KWloaK1euZNasWQwYMICPPvqIzlUTqR4AEnpL6N3YSE3vxszaGh55RL045S+/wGefXV/aAWDVKvVXExP1YpaffXZ77efmqusj//nn9fuSktTbb7/+ILt5AAA6uElEQVSpQ9HNm8HevuZ2Bg5Uh6XX0AGoqEC/uBjrpCSs9+whoHNnzs+cSVhYGEqlEgAjIyPNjO0WhYWYX9vGmjWYvfSSul5zldJS9QzgU6fU78vff4OV1e293rqwc+fV20OH3vzYoUOvht47dtx96H2nfVbZseP6/QUF6trfABYWEBx847Z0dWHwYPj226vtTZp0e2O+1vr1VwPvDh1uXAM8Kenq7Vst/mlsDJ6e6jIs+fnqEP9eyq+IRsXY2Ji2bdvS9jbqzSsUClJTU0lMTNSU2Ki6HRYWxvbt20n731UW+vr6NG/enFatWhEYGEhgYCCtW7fG09OzzutEKxQKUlJSiIuL09Tmjo+P5/Lly4SHh1e72sbNzQ1zc/MaQ2c9PT10dHQoKyurVj6q6jP6Wnp6eri6uuLh4aHZbG1tWbx4MYWFhbz22mt069aNoKAg7Ozs6vT1CyGEEEII8V9OTk588MEHdOzYkZdffpkuXbrQqVMnJk6cyODBg3G+17W1hBD1SkLvxu7559UhYVaWuuzE449X319efrU+9IgRtx8A5+er6yVfvKi+7+WlXsiwZUv17Om4OPViiOfOqWeC9++vXoCxptmzxcXqshO9e6vLaXh7qwPUoiJ1feWNGyE6Gv2TJ+kwZw7tDhygoKSEvLw8TciSnJyM3uXLaIp07NwJmzapg/zJk9Wzzo2M1LPav/1WXb/55EmYOvVq6K8N//579XZQ0M2Pbd8e9PTUZUcuXACV6uYz6GujT0dHcHeHxERIT4eMDPUs/ioXL6pncAO0a6ce380EBV0NvcPC7nzsoF4Us0rVLPmaXHsRy+28T9ceHxoqobe4K/r6+poZ3TeSk5NDWFhYtW3Xrl2aWc6WlpaaELxt27Y8+eSTd13Xu6SkhIsXLxIaGkpoaCj//vsv0dHRJCYmVgumHRwc8PT0pFmzZvTv31+zOGizZs0wMzO7oz5VKhUlJSXk5+drPqPT09M1Nbar6mwfO3aM5ORk+vfvz/Lly2/6ngkhhBBCCFFfhgwZwuXLl9m+fTtffvklz//v6ufWrVszcOBA+vXrR5cuXbC2ttbuQIUQNyWhd2PXv796Bmt8vLqUxn9D7z/+UAficLWMxe146aWrgffUqTBvHvy3zuubb6rris+fD+fPw5w56u2/5syBbt1uXG/544/h9dfVtaOPH0d3wwasnn4aq2sC+sjISDKvnYn866/qAH7nTnX96iqjRqlfZ4cO6uD+p5/UpVxqWqgiPFy91QYPj+vrZldWqmt4gzosvlXgY2CgLluTkKA+IZCcXP213a6IiKu3vb1vfby3tzr0rnrutaH33bRV03Nv14UL6pMVoD6h8dRTNz722rPwt/p3LCu7uhDn7RwvxD2wsbEhODiY4GuujKhaWLMqmA4NDeXIkSOsXLmSN998k8mTJ/PGG2/g+N8FZ695fnx8vOa5Vdvly5eprKxER0cHX19fAgMDGTVqFJ6ennh5eeHp6YmHh8cdB9s3o6Ojg6mpKaamprdcBEilUtX5rHYhhBBCCCHulJ6eHg8//DAPP/wwGRkZ7Nmzh127drF27VoWLlyIjo4OLVu2pGvXrnTr1o3OnTvTvHnzB64OuBD3Mwm9GzsdHXVN7g8/hF271EHptQslVi3Y5+0NffrcXpuhoerZ4wCPPgqLFt2473nz1OUvjhxRLzb4wQfX19Hu3//m/enrq+sxb9+urgO9ejU8/bRmd2pqKv/88w/trr0cXl9fXVqlplDY11e98OKnn6rrie/ZU609jfXr1e9bbaipHnZhobp/UJeiqaHW7XXs7K6Gs7m5dxd65+ZevX2jkjP/7bOm59Z2W7fj2ln5Tzxx8ysTri21smGDusa3iUnNx65bpw6+72VsQtwDHR0dTU3qodeUFbpy5Qqff/45S5cu5csvv+SDDz7gnXfeAeDMmTNs27aNPXv2EBoaSn5+PqAO1Vu3bk3//v2ZNm0arVu3pmXLlrUabNcWCbyFEEIIIcT9zsHBgdGjRzN69GhUKhWXL1/m+PHjHDt2jOPHj/Pdd9+hUqmwsLCgQ4cOdOrUiaCgIFq1aoW3tzdG2l5LTIgHlITeD4LnnlPXglYq1TOb331X/XhysjoIrzrmdsOH1auv3n777Vsf/8wz6tA7L089S7dnzzsbP6hnQnfurA69T53SlPbIzs7m8OHDODk50ay4+Orxw4aBn9+N2+vXTx16g3r2sDYUFl69fbuLJl4b2hYU1E+/N+uzNtu6lfJy+Pnnq/dvVtoE1N9nLVqoS+Skpqpn+P/00/VXJJw/D9OmVX/sf+GhENrm6OjI/Pnzefvtt5k/fz7vv/8+mzdvJikpifT0dKysrOjfvz8zZsygdevWBAYG4urqKmGyEEIIIYQQdUBHR0dTCnDcuHGAemH2f/75h1OnThESEsLatWtZsGCB5ng3Nzd8fHyqbQEBAbRq1UqLr0SIxk9C7weBpyf07Qt798IPP1wNvX/8UV1iQ1dXPRv8dh06pP6qo6Mue5GaevPjk5Ov3r54sebQu7hYXZLkzz/VNaevXFEHqtfWWa6Sn6/erKwIDQ3F3NycHj16oBsXd/WYbt1uPqZrZ7v/r47udWbPvvvFIu9UYwio6vo1/PEHZGaqb/v53frkia4uLF+uPsFRUaGeuX/mjHrWva+v+nvu8GFYs0YdqHt7q0+qVD1XiPuIra0t8+fPp1+/fixcuJD+/fszdOhQunXrhsF/T+QIIYQQQggh6o21tTX9+vWjX79+msfS0tIIDw8nOjpas507d45NmzaRl5cHwAcffMCHH34oE1aEqCMSejdSlSoVOVlZlJeXU1FRgeWIEVjv3QuRkeqgLzj4armN/v1vXU/6WlXhskqlLjFxJ7Kzr3/s2DF1re2qutG3Iz8fhZkZKSkp6OnpsX37drz//ZfA/+2OLyqi6OJFjIyMMDU1pUmTJuhdu8jitZcXlZbe2WuoLebmV2+XlNzec649zsLi7vutCvpLS6uP4077vNPXcC/jv7a0ya1meVcJDlaH5U8/rf7eu3wZ3nvv+uNGjFAvXDlpkvr+XS4aKERdGzhwIAMHDtT2MIQQQgghhBA34eTkhJOTE7179672uEqlIjs7m+XLl/Pee+8RFRVF27ZtsbOz02z29vbY2dlha2uL/u2UQRVC1Ej+99STkpIS1qxZg6mpKYGBgbRo0QLT/yzcmJOTw44dOzhw4ABmZmb07duXvn37XleHValUkpaWRlJSErm5uZpgu7y8nFH/O6a0pIS///5b8xxdU1NGmJpiWFxM1qJFkJGBXdUiineygCXcW73j8vLq92NjYdCgq2UyfH1h8GD1TF57e3XJjKqznl99Bfv3q28rlejp6dGzZ08KCgooLS2t9n5m5+URdeECFRUVAJiamuLv74+Pj8/9MyvS3Fxdx1uhUL+nCsWt63pXLToK6jrgd8Pa+mronZl569D7Zn1ee79qFvbdtnUzCQmwe7f6tr6+erb27RoyRL1g6IoVsG2butxJXh7Y2qoXNB0/Xh16z5p19Tm3WHxPCCGEEEIIIYS4Uzo6OtjZ2TFjxgxsbW1ZuHAh27dv18z+/i8rKyvs7e3p1asXEyZMoHPnztfNDC8vLyc9PZ20tDSuXLlCWloaCoWCpk2b4uPjg4eHh4Tn4oEk3/X1pHv37sTFxaFUKgH1B52vry+tWrXC19eXkJAQDh8+jFKppFWrVhQWFrJ48WIMDQ3p1asXQ4cOZcSIESQlJZGcnKyevW1pib29PUZGRhgYGFQLc42MjRkyZAgGBgYYGhpSXFxM8a5dGK5bh+Xff5OakoIdUG5hwXlXV+xiYrC3t8fc3JxbFnYwN1eHtNeGp3fr00+vBt5vv61ebPBGl/b88ku1u1W1sTTOn9fcbNe2Le2eeAKlUkl+fj7h4eGcPXuWs2fPYmRkhHVuLn3/d2xGRgZJ/3vc0NDw6tfYWPT/d2Kg6oeKjo5Ojber7uvp66NXU2kMDw9o3776Y7q66pA/PFxdbz0xUV1i40YqKq6WijEzq16i5U40b361jEdsLHh53fz4qmOrnvvftmo67m7aupkfflCX4gF46CFwdLz954J65vbbb9+8Bv2pU1dvd+p0Z+0LIYQQQgghhBB3YOLEiUycOBEAhUJBdnY2WVlZZGVlkZmZqbmdmprK77//zvfff0+rVq1o1aqVJty+cuUK2f+5or4qq6j839/Q+vr6eHp64uvrq6kp7uvri6+vL97e3phcu/aWEI2IhN71xMbGhj///BN3d3cuXrzIv//+S1hYGP/++y/r168nMDCQr7/+moceekgT5EZGRrJ9+3a2b9/OO++8Q5MmTbC2tsbf3x8PDw+srKxu2J+eri4215RoMDQ0hKlTYd06DEpL8QgJASB70CDS8/KITEjQHNsuPJwW/7sdGRlJ/j//YGxsrNkcnZ3Rz81VB9/JyXcfvsLVhTSbNIFPPrl5XejbCVX/Q09PDxsbG7p27Urr1q1JTk6mrKzsaokW1GdFk5KSKCsro/yameiBmzcT+Ntvd9xnjZ599mo5mWsFBqpDb4CQkJuH3mfOqMNxgJYt776GdmAg7Nx5tc8+fW587JUrV8vONGkCDg7V9wcEqMP7yko4e1Y9vmvLyPzX/77vALjdRTtUKnXoXeWFF27veXeisFBd9gfU72uPHrXfhxBCCCGEEEIIUQN9fX2aNGlCkyZNaty/cOFC9uzZw/fff09qairOzs60bt1aU0bF0dFRc9vBwQGVSkVCQkK1muLR0dEcPnyYH3/8keLiYk3bbm5u+Pr6MnLkyPp6uULUCwm968muXbs0IXSnTp3odBszSZs1a8Zrr73Ga6+9RlFREcB1pU7uSMeO0Lo1hIZqHnKaMYNh7dpRXl5OdnY2RUVFWB48qNlfUVFBamoqpaWlmkC4g7s7zS9dAuDSp5+SM2YMFhYWmJubY2FhgbGxsWbmue6tFgRMS1N/9fa+LixVqVQoFApKSkooi43F/vx5qmLe/Px89IqKMDAwQF9f/9b9oH7v/Pz81HeuqSft6uqK68MPA1BZWakpFaN/zczxOjN4MGzcqL69Ywc8+eSNj92+/ertoUPvrc/PPrva51tv3X2fFhbQvbs6MC4ogCNHoFevmtuqrIRrSu4wZMjtjXf3boiPV992dVWPv7b9/DP87/8YgwfDtVcQCCGEEEIIIYQQWqSnp8egQYMYNGjQbT+nalb3f6lUKtLS0oiKiiI6OpqoqCiiqsrfCtGISOhdT/RuNvv1NtxT2H2tqVNh2TL1bQ8PaNcOUM8Ed6qqY3zNbN6AgAACHnoIUAfCpaWllDdpopmh7bNhA8f69CFSV5fSGhaE1NfXx9DQUBOCV92u+hpobIxeeTmKy5c5FxJCSWkpJSUllJaWUlpaikKhACBo1Soc/ncbYP/+/RSFhWnu6+rq4hMSQtD/7v/777+k792Lvr4+BgYGmJmZYW5urvlqWllZYxmXqnIlCoWC/FdfpfiFFyguLqakpKTaVlZWdt3zLCws6N27N+a3qpF9rf/7P5gyRb2g5Pr1MGdOzTPnCwth5cqqzuBezsD26qWuWZ2WBgcOqGeQ/7f0CqhnbX/11dX7o0Zdf0zV41WzpBctunHovWXL1dn6XbrcuqxKlWsXsBw37uYzye9GWhrMnHn1/s1OAgghhBBCCCGEEA2Yjo4Ozs7OODs7ExwcrHk8Pz+fSZMmaXFkQtQuCb0fNM8+e2eLAF5DV1cXU1NTTPv3Vwed69djmJlJ77lzYdMmKtzcKCwspKysTDNbuuqr4ZkzWO7eTdRLL1FaWkp+fj4VFRU4eXvjdP48+jk5mH37LQVPP42FhQVNmjTB2NgYExMTbH/4AYt9+6qNpUePHpS7uFBRUYFCoUChUGAWHa3Zb2pqirGxMQqFgqKiItLT06tdvmOemcnw/92+kp7OhX37KCoqoqSkRBO0g/qHgYmJiaa9a8d17WZkZHTdYhK3xc4OXn0VFixQB99PPw1//ll9cUmFAiZMgNRU9f2nngJ//5rb+/FHeO459e1evdSh9n/p6alD3smT1ffHjoV9+9TlS671zjtw7pz6dvfu6gVHa/L88zB/vnqxyT//hKVL1UH+tSIjqz/28cc1t/VfWVnwxx/q2zo6d77oanq6eoHNgICa90dEwGOPXV2E86WX4D+rawshhBBCCCGEEEKIhkVCb3F3Vq6Ey5fVs4TPnIHmzTH4v//DJjhYPYtYqVQHjv/+C3v3qmto+/jg8p/FKDEw0JTNaPH997RIS1OXl3B0VIeoGzao60A7O6trUf9vhrmdnZ36sWtdM0Pax8cHn+7dq+1WKpUUFxdTWFhIaVUdbUCpUGBoaIi1tbU61L9mMzY2vq3SKffk/ffVNbZDQ9UhdZs26pDb2xtSUtRBdlVJGg+Pq6VJ7sWECfD77+rSIRcuXO0zIACys2HdOnWpEgArK1i+/MZtGRurZ2MPHapebPPll9WvZ/hw9YKbZ87Ad99B1WrUEyZA//63N86ff4aqWfV9+kDTpnf2OhMSIChIvfXrpz5ZYGoKGRlw8KB69nlVHfchQ2Dx4jtrXwghhBBCCCGEEELcdyT0FnfH3BwOHVIHnKtXq8POTZvU243UVCd5yBCYPVu9gbqG9LV1pEEd9P7+e/VSG3dBT08PCwsLLCwsrgapgIuLCy7aXLjQwkJdW/uxx+DECYiJgXffvf64gADYvPn6sP9u6Our23rqKfjrL3WJj5pmX7u5wa+/qhfOvJn+/dXHPf+8eoHTv/5Sb/81YcLV8jq349rSJveygGVISPVFNK+lr6+ebT93Lhga3n0fQgghhBBCCCGEEOK+IKG3uHtmZvDDD+oayD/+qJ6lHBsLOTnq8NDBAZo3h27d1OH2jRbvnDULevZUh9rHj6tnGltbq2f1PvqouuSEtXX9vS5tcHGBo0fhl19g7Vr1zO7MTLCxUc9OfvJJGD8ejIxqr08LC3U5kj/+gJ9+UofC6enqx318YMQI9XtvZXV77T36qLpW97Jl6nbj4tQlW5ydoUcP9fhvVO+7JqdOQVXddltb9XjuVIsW6pMy+/erZ5ynpam/P21s1CdTBg+GZ56BqgVOhRBCCCGEEEIIIUSDp6NSqVTaHkRjlp+fj5WVFXl5eVhaWmp7OEIIIYQQQgghhBBCVKPt/Kqq/ytZ2uvf0c4KPz8/9PT0mDJlClP+u16ZaFBkprcQQgghhBBCCCGEEOKBFxISIpNWG4k6XqHv/9u797ioq/yP469B5CKXAcH1Sije8O4iaiWEWnitDW+l21a6muVl9xHUsj9XEzQLdXNra3O7aFprli2R0ppuXkCzMjVT00wl8Z4XVEAIEfT7+8PHzDIyg6DceT8fj3ko55zvOec7jzmP78xnzny+IiIiIiIiIiIiIiKVR0FvEREREREREREREak1FPQWERERERERERERkVpDQW8RERERERERERERqTVqXND72rVr/OMf/yAkJIQGDRrg7e1NREQEycnJdttnZ2cTExNDYGAgrq6uBAYGEhMTQ3Z2tt32x44dY/LkybRt2xY3Nzc8PT0JCgpi6NChzJs3j9zc3Io8PRERERERERERERG5DSbDMIyqnkRpGYbBqFGj+Pjjj2ndujWDBw8mPz+fVatWcfbsWV577TWmTp1qbZ+bm0tYWBi7du0iMjKSkJAQdu/ezdq1a+nevTtbtmzBw8PD2n737t307duXzMxM+vTpQ0hICC4uLqSnp7Njxw6OHTvGoUOHaNOmTannnJ2djdlsJisrS3d/FRERERERERGRaqeq41eW8c+cr7rxG/spflebOFf1BMri448/5uOPP6ZPnz6sW7cOd3d3AF588UVCQ0N59tlnuf/++2nZsiUA8+fPZ9euXcTGxjJv3jxrP3FxccyePZv58+cza9Ysa3lMTAyZmZm89957PProo8XG//rrr/H396/YkxQRERERERERERGRW1aj0pusXLkSgL/85S/WgDeAv78/0dHR5Ofns2TJEuD6rvBFixbh6enJzJkzbfqZNm0avr6+LF68mKIb3b/++mt8fHzsBrwB7rrrLnx8fMr3pERERERERERERESk3NSooPeZM2cAaNWqVbE6S9nGjRsBOHToEKdOnaJPnz42KUwA3NzcuOeeezh58iRpaWnW8oYNG5KTk8Pp06cr6hREREREREREREREpALVqPQmjRo1AiA9PZ0OHTrY1KWnpwNw8OBB4HrQG6Bt27Z2+7KUHzp0yPr/UaNG8corrxAWFsbkyZMJDw+nS5cuuLm5lXqO+fn55OfnW/+23DDT0Y0zRUREREREREREqpLiVlLb1Kig9+DBg/nggw+YO3cu/fv3twajz58/zyuvvAJAZmYmAFlZWQCYzWa7fVmS0lvawfXc4BcuXGDZsmU888wzANSrV49u3boxbNgwpk6detP0JgkJCTZ5wgFcXFwICAgo07mKiIiIiIiIiIhUFk9PT5s0wCI1WY0Keo8ZM4YlS5aQkpJCly5dGDRoEAUFBaxcuZLGjRsD14PUt8rd3Z13332XF154gc8++4xt27axbds2du7cyc6dO3nzzTfZtGkTQUFBDvuYNm0aMTEx1r+zs7MJCAjg+PHjuvuryA20PkQc0/oQcUzrQ8QxrQ8Rx7Q+RByzrA+TyVTVUxEpFzUq6O3s7MyaNWuYO3cuy5cv56233sJsNjNs2DCeffZZ2rVrZ02BYtnhXXQnd1GWn23Y2wneokULJk6cyMSJEwH46aef+P3vf8/mzZuJjo5m1apVDufo6uqKq6trsXJvb29dVEUc0PoQcUzrQ8QxrQ8Rx7Q+RBzT+hARqf1q1I0s4XpQOS4ujgMHDpCfn8/Zs2d58803OXnyJAChoaGAbc5ue26W87uo1q1bs3TpUuB/N8oUERERERERERERkeqnxgW9HXn//fcBGD16NHA9mN2sWTO+/PJLcnNzbdpevnyZzZs306xZM9q0aVOq/j08PMp3wiIiIiIiIiIiIiJS7mpc0Nve3WQTExN555136NmzJ8OHDwfAZDIxYcIEcnJymD17tk37hIQELl68yIQJE2xyFc2ePZvjx48X698wDBISEgAICwsr03wtO9PtpTwRqeu0PkQc0/oQcUzrQ8QxrQ8Rx7Q+RBzT+pDaxmTUsNuydujQgYCAADp06ICbmxvbtm0jNTWVoKAgNm7cSGBgoLVtbm4uYWFh7Nq1i8jISHr06MHu3btZs2YN3bt3Z8uWLTY7uH18fMjOziY0NJQePXrQsGFDzp8/z8aNGzl06BB+fn5s3ryZjh07VsWpi4iIiIiIiIiI1DrZ2dmYzWbOnM+qkpz72dnZNPYzk5VVNeNL+atxQe/4+HiSkpI4cuQIBQUFtGrVihEjRvCnP/3J7osyKyuLWbNmkZiYyOnTp2nSpAkjR44kLi6u2E0sv/jiCz777DM2bdrE0aNHOXfuHK6urgQFBTFgwABiYmJo2rRpZZ2qiIiIiIiIiIhIraegt5S3Ghf0FhERERERERERkdpDQW8pbzUup7eIiIiIiIiIiIiIiCMKeouIiIiIiIiIiIhIrVFng97Lli3jySefJDQ0FFdXV0wmE0uXLnXY/tChQ4wbN462bdvi7u5O8+bNiYyMJDk52eExy5cvp1evXnh4eODr68uQIUPYsWOHTZsTJ05gMpno0qWL3T4SEhIwmUz4+flx7dq1YvX/+te/MJlMTJ48uXQnLlIKpV0fBQUFfPzxx4wdO5YOHTrg4eGBl5cXvXv3ZuHChVy9etXhGFofUpt98sknREZG4ufnh7u7O61atWLMmDEcP37cpl12djYxMTEEBgbi6upKYGAgMTExZGdn27SbM2cOJpOJBQsW2B2vffv2mEwmoqOj7dbfe++9mEwmtm3bVj4nKFJFtm/fzpAhQ/D19cXDw4NevXqxfPnyqp6WSIUo72sJwNKlSzGZTCU+nn766Uo6QxHHqsvnEYubrRsfH59yOnORm6su8SwLrQ+prpyregJVZcaMGRw9ehR/f3+aNm3K0aNHHbb95ptv6NevHwUFBfzmN79hxIgRnD17lqSkJB588EHi4+OJi4uzOebFF19k+vTp3HHHHTz11FPk5OTw4Ycf0qdPH/773//St29fAFq0aEHbtm3Zt28f586do1GjRjb9pKamYjKZuHDhAnv27KF79+7F6gH69et328+JiEVp18dPP/3EyJEj8fLyon///vzmN78hKyuLTz/9lClTprB27VpWrVqFyWSyOU7rQ2orwzB46qmneOutt2jdujWjR4/Gy8uLU6dOWW+SHBAQAEBubi4RERHs2rWLyMhIxowZw+7du3n55ZdJSUlhy5YteHh4ANC/f3+ee+45UlJSeOaZZ2zG/Pnnnzl48CAmk4mUlJRic7py5Qpff/01Xl5e9OjRo+KfBJEKkpqaysCBA3FxcWH06NGYzWaSkpJ45JFHOHLkCH/5y1+qeooi5aKiriVF3XvvvYSFhdkd/84776zQ8xMpjeryeaQoPz8/pk6dancebm5ut33OIqVVXeJZRWl9SLVk1FHr1q0zjhw5YhiGYSQkJBiAsWTJErttBw8ebADGqlWrbMqPHj1qeHt7G+7u7sbly5et5QcPHjScnZ2Ndu3aGZmZmdbyvXv3Gg0aNDBat25tFBQUWMsnTpxoAMZHH31k039BQYHh6elpDB8+3ACMv/3tb8XmFhQUZJhMJuPs2bNlfg5EHCnt+jhx4oSxcOFCIzc316Y8JyfHCA0Ntfu61vqQ2uzvf/+7ARhTpkwxCgsLi9UXfW3PnDnTAIzY2FibNpbymTNnWsuuXLlieHh4GN7e3sX6Xb58uQEYw4cPN0wmk3H+/Hmb+s2bNxuAMXTo0PI4RZEqUVBQYLRu3dpwdXU1du7caS3Pzs42OnXqZDg7OxsHDx6swhmKlJ+KupYYhmEsWbLEAIyEhISKmbxIOalOn0cMwzAAo3379uV0diK3pzrFswyj/NZHVlaWARhnzmcZeQVGpT/OnL8+flZW1m2fi1QPdTa9yX333UdgYGCp2h4+fBiTycSgQYNsyu+44w46d+5MXl4ely5dspYvWbKEwsJCpk+fjtlstpZ36tSJxx57jJ9++omNGzdayy27UC27Ui22b99OTk4ODz/8MMHBwcXqjx8/zuHDh+nUqVOxHbAit6O066N58+ZMmjSJBg0a2JR7eHgQExMDwKZNm2zqtD6ktsrLy2PWrFkEBQXxyiuvUK9evWJtnJ2v/8DKMAwWLVqEp6cnM2fOtGkzbdo0fH19Wbx4MYZhAFC/fn3CwsLIzs5m586dNu1TU1Px8vIiJiYGwzCKrTn94kFqg40bN/LTTz/x29/+ll//+tfWci8vL5577jkKCwtZsmRJFc5QpHxU5LVEpCapTp9HRKqb6hTPkvJJv3ft2jX+8Y9/0LVrV9zd3WnUqBEPPfQQhw4dKrdxy5IObezYsTdNW/P888+X6RyrQp0NepdFp06dMAyDzz//3Kb8+PHj7N27ly5duuDv728ttwQYBgwYUKyvgQMHArYXXksg4safpVv+joiIICIigs2bN9vkLbbUK5Ah1VH9+vWB/30ws9D6kNpq3bp1XLhwgaioKK5evUpSUhJz587ljTfeIC0tzabtoUOHOHXqFH369Cn2s3M3NzfuueceTp48aXNcSWuhT58+9O7dG09PT4drRWtBarKSrh2WshuDGiI1UUVfS0TqkvL6PCJSk1V0PKuuS01NJSwsjC+++IKRI0cyadIkMjIyeOSRR3jxxRdL3c9TTz3FH/7wB65evcof/vAHhgwZQnJyMj179uSHH3647XEt6dBefvll2rdvT3R0NB07duTll18mIiKC3Nxcm/ZRUVHExcXZfVjec1heD9VZnc3pXRbPP/88W7ZsYfjw4Tz44IO0adOGc+fOkZSURGBgIB999JFN+0OHDuHp6UmTJk2K9dW2bVtrG4vGjRvToUMH9u/fz5kzZ2jcuDFw/UUcHBxM48aNiYiI4M0332TXrl2EhIRY60GBDKme3nnnHaD4xVLrQ2ory41dnJ2d6datGwcOHLDWOTk5ER0dzUsvvQT87zVuec3fqOhasPy/6K8eYmNjgev5vA8dOsT48eNxdnbm7rvvtvnVw5UrV9i6dSs+Pj7Fct6L1CQlrRlfX1/8/f1L3AkjUlNU9LXEYv369Vy+fNnucaNHjyY4OPj2TkSkGiivzyMWGRkZxMfH2x0rODiY0aNH3+aMRcpfRcezLOri+igsLGTChAmYTCY2b95s/TViXFwcd911F3FxcYwaNcrhddoiJSWFt99+m/DwcNatW4erqysAjz32GJGRkUyaNMnmi4ZbGXf+/Pns2rWL2NhY5s2bZy2Pi4tj9uzZzJ8/n1mzZlnLo6KiiIqKKjbXb7/9llmzZtGlSxd69epV9ietkinoXQodO3Zk69atjBo1isTERGu5r6+v9Q64RWVlZfGrX/3Kbl/e3t7WNkX169eP/fv3k5qaysMPP0xBQQFfffUVv/vd74Dru1nh+mIoGtRzcnKy1olUF2+99RZr1qyhf//+DBkyxKZO60Nqq7NnzwKwYMECQkJC2LZtGx06dOC7775j4sSJLFiwgNatWzNp0iTra7zoTwaLsrcWevTogbe3N1988QWFhYU4Ozvb/OLB8u+MGTPIyMjA39+frVu3kpeXx4ABA3By0o+7pOYqzZo5ceJEZU5JpEJU9LXEYsOGDWzYsMHucd27d1fQW2q88v48AnD+/HmboFBRDz74YK0M6knNVxnxLKib68OSfm/cuHF20++NHj2aJUuW3HTH99tvvw3AnDlzrAFvuH7T6YEDB7J27VoOHjxIu3btbmncm6VDe+2111i8eDHx8fHFbvp7o0WLFgEwfvz4mz091YI+AZfCjh07CAsLo2HDhnz77bfk5uZy+PBhxo8fT0xMDKNGjbrtMW782fr27dvJzc213hW3WbNmtGnTxlp/7Ngx0tPT6datGw0bNrzt8UXKy+rVq5k6dSqBgYEsW7asXPrU+pCawJJex8XFhZUrV9KzZ088PT0JDw8nMTERJycnFixYcMv916tXj/DwcHJycqw7AVNTU/Hw8CA0NBS4HvQ2DMO629vyb//+/W/9xEREpNJU9LXEIiEhAcMw7D7s7ewSqUkq4vMIQPv27R2um5UrV5bbOCLlqTLiWVA310d5pd+zfKbr06dPsTp7KWXKOm55pUPLy8vjgw8+wNXVlUcfffSm51UdaKf3TRQUFPDwww9jMplYuXKl9QYZrVq14q9//SvHjx9nxYoVpKSkWANzZrPZ7jdfgDVB/I07Mvr164fJZLK+eG/cvWf5/7///W+uXr2qHK1SLf33v/9lxIgRNG7cmI0bN9K0adNibbQ+pLayvG5DQ0Np1qyZTV2nTp0ICgoiLS2NzMxMa9uyroX+/fuzevVqUlNTufPOO635vC25Knv27EmDBg1ITU1l5MiRWgtSa5RmzTja7SpSk1TGtUSkNquozyMiNVFlxbPKm70bK1YGy7g3ju/q6mqzA9uiPNLv5ebm8vPPP9O5c2e7N6+2l1KmrOPeTjq0ohITE8nKymL06NE1ZnOhdnrfxI8//sjhw4fp3bt3sTtCw/92z3377bfWsrZt25KTk8Pp06eLtXf0YvPz86NLly4cOHCAn3/+mdTUVNq1a2dzke7bty/Z2dns3LlT+Yql2lm7di1RUVH4+/uTkpJCUFCQ3XZaH1JbtW/fHgAfHx+79ZbyvLy8EvPhFS2/cS0U/dXDqVOnSEtLs/7iAa7vDLzrrrtISUkhPz+frVu34u/vT+fOnW/1tESqhZLWzMWLF8nIyLhpvkSRmqAyriUitVVFfh4RqYkqK55VXlxcXGjSpAltWwXQ2M9c6Y+2rQLw9PQkICAAs9lsfSQkJNidb2nSjDn6AqEsfRRtdyvj3k46tKIWL14MwIQJE0psV50o6H0TV65cAeDcuXN26y3lRb/1sew+vfHuuHD9m+eibYqyBDM+//xzvvrqq2JtLH+npqaSmppq/am7SFWzvMH09fUlJSWFNm3aOGyr9SG1leU1un///mJ1BQUFpKWl4eHhQaNGjWjbti3NmjXjyy+/LHan7MuXL7N582Zr2p6iunXrhq+vL19++aV1DdlbCz/88APJyclcvnyZvn373jQ3m0h1V9K1w9FaEKmJKuNaIlIbVcbnEZGapjLjWeXBzc2N9PR0srKyquxx4sSJYmXTpk2rkPOtSdLS0ti8eTOtWrWqUakzFfS+ic6dO2M2m20CDBanTp1i4cKFADY77caNG4ezszMvvPCCzTcl+/bt47333qN169Z2XySWN7kvvfQSv/zyi02fAAEBAbRq1Yr33nuPI0eOEBISop9dSZW78Q3mzb711fqQ2qp169YMGDCAtLQ06w0+LObOnUtmZibDhg3D2dkZk8nEhAkTyMnJYfbs2TZtExISuHjxovWO3EVZbs6am5vLggULaNCgAT179rRpY3kTaulXv3iQ2uDee+8lKCiI5cuXs2vXLmv5pUuXeP7553F2dmbs2LFVNj+R8lIZ1xKR2qayPo+I1DSVGc8qL25ubnh7e1fZw2w2Fyuzl9oEyif93q2kKivruOWRDm3x4sUYhsHvf//7GvW+os7m9F60aBFbtmwB4Pvvv7eWWdIiREVFERUVhaurKwsWLGDChAkMHjyYoUOH0qFDB86cOcMnn3xCdnY2U6ZMoUuXLta+27VrR3x8PDNmzKBr166MHDmS3NxcPvjgAwoKCnj77bet+VeLioiIwMnJib1791r/ttdm6dKlgAIZUnFKuz5+/PFHoqKiyM/Pp2/fvnzwwQfF+mrZsqVNIELrQ2qzhQsXcvfdd/PEE0+wcuVKgoOD+e6779i4cSOBgYH89a9/tbaNjY0lOTmZ+fPn891339GjRw92797NmjVr6N69O7GxsXbH6NevHytXrmTv3r3cd9991K9f36a+d+/euLm5WdeK1oLUBs7OzixatIiBAwcSHh7OmDFj8Pb2JikpifT0dObMmWO9o71ITVcZ15L169dz+fJlu3U3vncTqQrV8fNIRkYG8fHxDuf89NNPO0xNJFKeqmM8qy6uj6Jpxnr06GFTZ0m/d/fdd5fYh4eHB02bNiU9PZ2rV68Wy+ttL6VMWce93XRoV69e5d1336VevXqMGzeuxPOpdow66vHHHzcAh4+4uDib9uvXrzfuv/9+o1GjRka9evUMb29vIzw83Hj33XcdjrFs2TIjNDTUcHd3N8xmszFo0CBj27ZtJc4rJCTEAIw2bdrYrV+yZIl1jmvWrCnzeYuURmnXR0pKSontACMiIsLuGFofUlsdO3bMGDt2rNGkSROjfv36RkBAgDFlyhTjzJkzxdpmZmYa0dHRRkBAgLVtdHS0kZmZ6bD/PXv2WF/nc+bMsdsmIiLCAIwmTZqU23mJVAfffPONMWjQIMNsNhvu7u5GaGiosWzZsqqelki5q6hrSdH3SmV97yZSmarb55GbjQEY6enpFfNkiNygusWz6ur6WLt2rQEY48aNK1b34YcfGoAxbdq0m/YzevRoAzA2bdpUrG7QoEEGYBw4cOCWx7127ZrRrFkzw9PT08jJybFpn5eXZ/j6+hrNmjUzrl27Znd+ycnJBmAMHTr0pudS3ZgMwzDKEiQXERERERERERERqasKCwtp3749J0+eZOvWrXTv3h24nn7vrrvu4sCBA+zbt8/6a8SMjAwyMjLw9/fH39/f2k9KSgr9+/cnPDyc9evX4+LiAsCGDRuIjIwkPDycTZs23fK4AHFxccyePZvY2FjmzZtXrHzmzJnMmjXL7nlGRUWxatUqkpKSGDZsWLk8d5VFQW8RERERERERERGRMkhJSWHgwIG4urraTb83ffp0a9v4+HhmzZpFXFxcsVQwTzzxBIsWLaJjx44MHTqUM2fOsGLFCtzc3Pjqq6/o2LHjLY8LkJubS1hYGLt27SIyMrJYOrQtW7bg4eFR7PzOnDlDixYt8PPz48SJE3ZT21RnupGliIiIiIiIiIiISBn069ePLVu2EBYWxkcffcTChQvx8/Nj2bJlxQLPJXnzzTd59dVXMZlMvPrqq6xevZoHHniAbdu2FQt438q4Hh4epKamEh0dzY8//siCBQvYu3cv0dHRpKam2g14A7z77rsUFhby+OOP17iAN2int4iIiIiIiIiIiIjUItrpLSIiIiIiIiIiIiK1hoLeIiIiIiIiIiIiIlJrKOgtIiIiIiIiIiIiIrWGgt4iIiIiIiIiIiIiUmso6C0iIiIiIiIiIiIitYaC3iIiIiIiIiIiIiJSayjoLSIiIiI1ypEjRzCZTJhMJo4cOVLV03EoPj4ek8lE3759q3oqIiIiIiJ1ioLeIiIiIrWAJcBqMpmqeipV6siRI8THxxMfH1/VUxERERERkSriXNUTEBEREREpi/r169O+fXvr/4s6cuQIs2bNAlDgW0RERESkjlLQW0RERERqlObNm/Pjjz9W9TRERERERKSaUnoTEREREREREREREak1FPQWERERqcOysrKYPXs2ISEheHt74+7uTtu2bZk0aRKHDx92eJwlf3hqaiqXLl1ixowZBAcH4+7ujp+fH/fffz/ffPNNiWNnZGQQHR1NUFAQbm5uNG3alFGjRrFz585iYxTl6EaWLVu2pF+/fsXmaHmMHTvWWjd27NhiZTdaunQpJpOJli1bOmyzZs0aIiMj8fHxwdPTk27dujF//nwKCgpKPHeL06dP83//939069YNs9mMm5sbQUFBTJgwgR9++KFUfYiIiIiIiC2lNxERERGpo/bt28egQYM4ceIEAG5ubtSvX5+0tDTS0tJYsmQJ77//PiNGjHDYx88//0xISAhpaWm4ubnh5OTEhQsXWL16NZ9//jmffvopAwcOLHbcwYMH6devH6dOnQLA1dWVX375hcTERJKTk0lMTCzz+TRq1Ijs7GwuXrwIQOPGjW3qzWZzmfssSXx8vDV/OICPjw8//PADf/7zn1m9ejV9+vQp8fj//Oc/jBkzhpycHOB6fnIXFxfS09NZvHgx//rXv3j77bd57LHHynXeIiIiIiK1nXZ6i4iIiNRBly5d4oEHHuDEiRM0b96c1atXk5ubS3Z2Nrt27eLOO+8kPz+fRx55hN27dzvsZ8qUKbi4uLBx40Zyc3PJyclh27ZttG/fnoKCAp588kmuXbtmc0xBQQEjR47k1KlT+Pv7k5SURG5uLllZWezfv5+wsDAef/zxMp/T9u3bSUpKsv59+vRpm8ff//73MvfpSHJysjXgPWrUKI4dO8bFixfJzs7m9ddfZ+vWrfzzn/90ePy2bdsYMWIEOTk5PPnkk+zfv5+8vDxycnI4evQokydP5sqVK4wfP54dO3aU27xFREREROoCBb1FRERE6qCFCxeSnp5O/fr1Wbt2LUOGDMHJ6fpbw27duvH555/TsmVL8vPzmT59usN+nJ2dSUlJoV+/fjg5OWEymejZsyf//ve/ATh69Chff/21zTErVqzg+++/x2QykZSUxLBhw6hXrx4AwcHBrF69utgu7epm2rRpAERERPDhhx8SEBAAgLu7O5MnT+bVV18lMzPT4fFTp07lypUrPPfcc7zxxhsEBwdbn4M77riD119/nT/+8Y8UFhYyZ86cCj8fEREREZHaREFvERERkTpoxYoVAIwcOZLOnTsXq/fy8iI2Nha4nrc6KyvLbj8TJ07kV7/6VbHyLl260KpVKwD27NljU2cJiN9zzz2Eh4cXO9bNzY0//elPZTibyrVnzx5rvu0ZM2ZYvywo6oknnqB58+Z2j9+9ezfbt2+nfv36PPPMMw7HsaQ1Wb9+PVevXi2HmYuIiIiI1A3K6S0iIiJSx1y5csUaiL7vvvsctouMjATg2rVr7Ny50+YmkRa9e/d2eHyzZs1IT0/nwoULNuWWG1VGREQ4PLZv374O66qaJd2Is7Oz3aA9gJOTE3379uX9998vVrdlyxbg+vPavn17h+NYAt25ubmcP3/e7pcLIiIiIiJSnILeIiIiInXMhQsXrAFVR7uRAVq0aGH9/9mzZ+228fLycni8s/P1t5oFBQU25efOnQOuB8UdKWleVc3yXPj7++Pq6uqwXdHnryjLzTuvXr3KmTNnSjXmL7/8UsZZioiIiIjUXQp6i4iIiNRhJpOpVHUltauIsWuCW52/5QuH4OBg9u/fX55TEhERERERlNNbREREpM5p2LCh9aaJx48fd9iuaF2jRo3KbXxLX5Ydz/acPHmy3Mazx7IL/fLlyw7bOMpjbkkzcu7cOfLz8x0e7+gcmjRpAsDhw4fJzc0t1XxFRERERKT0FPQWERERqWNcXFzo2rUrABs2bHDYbv369cD1/NQhISHlNr6lr9TUVIdtSqorSdGbShqG4bCdr68vUHLQ/5tvvrFbHhoaCkBhYaE1P/eNrl275vAc+vTpA1zPrf7JJ584HF9ERERERG6Ngt4iIiIiddDo0aMBSExMZO/evcXqc3JymD9/PgBDhgzBbDaX29gjR44EYPPmzXz55ZfF6vPz83nppZduqW9vb2/r/zMzMx2269atGwDbt2+3G/jev38/SUlJdo/t2rUrHTp0AOCFF17g2rVrxdq88847nDhxwu7xoaGh/PrXvwZg+vTp1hznjtx4I1ARERERESmZgt4iIiIitUxGRkaJj8zMTCZNmkSrVq0oKChg8ODBrFmzxhq8/f777xk4cCDp6em4uLgwZ86ccp3fww8/TKdOnTAMg+HDh7Nq1SprnusDBw5w//33c/r06Vvqu127dri4uACwaNEih7u9H3jgATw9PSkoKOChhx7iwIEDwPWbbq5atYr77rsPDw8Ph+O88MILAKSkpPDb3/7WGuC+fPkyb7zxBlOnTsXHx8fusSaTiTfeeANXV1eOHTtG7969SUxMtLlZ5cmTJ1m2bBmRkZH8+c9/LvPzICIiIiJSlynoLSIiIlLLNGrUqMRH37598fLyIjk5mebNm3PixAmGDBmCh4cHZrOZrl278tVXX+Hq6sr7779v3RVdXlxcXEhMTKRJkyacPXuWqKgoPDw88PHxITg4mC+++IL33nvP2t7Nza3UfTdo0IBHH30UgNjYWDw9PQkMDKRly5Y8++yz1nZms5lXXnkFgK1btxIcHIy3tzeenp5ERUVxxx13MHv2bIfjDBs2jOnTpwOwYsUKAgICaNiwIV5eXkyaNIlevXoxadIkh8f36tWLTz/9FD8/P9LT0xk1ahTe3t74+/vj4eFBixYtePTRR60pZkREREREpPQU9BYRERGpozp37sy+ffuIj4+ne/fuODs7k5+fT+vWrXnqqafYt2+fNRVJeQsODmbPnj388Y9/pGXLlhiGgZubGw899BBbt2615r0GHO6YduT1118nPj6ezp07A3Ds2DGOHj1KRkaGTbvx48fz2Wef0b9/f7y9vSksLKRdu3bMnTuXTZs2lbjTG2DOnDn85z//sR6fn59Phw4dmDt3Lhs2bLDuOHckMjKStLQ0EhISCAsLw2w2k5mZiZOTEx07dmT8+PEkJyfz2muvlen8RURERETqOpNR0h1+RERERESqwLp16xgwYACurq5cunSJ+vXrV/WURERERESkhtBObxERERGpVgzDYN68eQDce++9CniLiIiIiEiZKOgtIiIiIpUuJSWFp59+mh07dpCXlwdcD3Z/++23PPDAA2zYsAGTyURsbGwVz1RERERERGoapTcRERERkUq3cuVKhg0bZv3b19eXvLw8Ll++DIDJZOKll14iJiamqqYoIiIiIiI1lILeIiIiIlLpTp8+zaJFi9iwYQOHDx/m3LlzGIZBs2bNCA8PZ+rUqYSGhlb1NEVEREREpAZS0FtEREREREREREREag3l9BYRERERERERERGRWkNBbxERERERERERERGpNRT0FhEREREREREREZFaQ0FvEREREREREREREak1FPQWERERERERERERkVpDQW8RERERERERERERqTUU9BYRERERERERERGRWkNBbxERERERERERERGpNf4fuQ+cVr2D/T0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1600x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aaod_tm5.sel(latitude=(-30, 30), longitude=(-150, 150)).quickplot_map('06/2010');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Registering and reading of *ungridded* observational data\n",
    "\n",
    "Hopefully comming soon...\n",
    "\n",
    "Until then, checkout the section on ungridded observations in the following tutorial [getting_started_analysis](https://github.com/metno/pyaerocom-tutorials/blob/master/getting_started_analysis.ipynb)."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}