notebooks/supplementary/correlation_plots_cleaner.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "import sys\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from tqdm.auto import tqdm\n",
    "import os\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import matplotlib.ticker as ticker\n",
    "sys.path.append(\"../../\")\n",
    "sys.path.append(\"../../covid19_inference\")\n",
    "sys.path.append(\"../\")\n",
    "\n",
    "import covid19_soccer\n",
    "from covid19_soccer.plot.utils import get_from_trace\n",
    "import covid19_inference as cov19\n",
    "from header_plotting import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b8addb491ab5445daa2816986f9adde1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/11 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Use 4000 sample runs for England\n",
      "Use 4000 sample runs for Czechia\n",
      "Use 4000 sample runs for Scotland\n",
      "Use 4000 sample runs for Spain\n",
      "Use 4000 sample runs for Italy\n",
      "Use 4000 sample runs for Slovakia\n",
      "Use 4000 sample runs for Germany\n",
      "Use 4000 sample runs for Austria\n",
      "Use 4000 sample runs for Belgium\n",
      "Use 4000 sample runs for France\n",
      "Use 4000 sample runs for Portugal\n"
     ]
    }
   ],
   "source": [
    "countries = ['England', 'Czechia', 'Scotland', 'Spain', 'Italy', 'Slovakia',\n",
    "       'Germany', 'Austria', 'Belgium', 'France', 'Portugal']\n",
    "       #'Netherlands']\n",
    "    \n",
    "def load(fstr):\n",
    "    with open(fstr, \"rb\") as f:\n",
    "         return pickle.load(f)\n",
    "        \n",
    "traces, models, dls = [], [], []\n",
    "for country in tqdm(countries):\n",
    "    #'UEFA-beta=False-country=England-offset_games=0-draw_delay=True-weighted_alpha_prior=0-prior_delay=-1-width_delay_prior=0.1-sigma_incubation=-1.0-median_width_delay=1.0-tune=200-draws=300-max_treedepth=10.pickled'\n",
    "    model = None\n",
    "    fstr=lambda tune, draws, max_treedepth: (f\"/data.nst/smohr/covid19_soccer_data/main_traces/run\"+\n",
    "        f\"-beta=False\"+\n",
    "        f\"-country={country}\"+\n",
    "        f\"-offset_data=0\"+\n",
    "        f\"-prior_delay=-1\"+\n",
    "        f\"-median_width_delay=1.0\"+\n",
    "        f\"-interval_cps=10.0\"+\n",
    "        f\"-f_fem=0.33\"+\n",
    "        f\"-len=normal\"+\n",
    "        f\"-abs_sine=False\"+\n",
    "        f\"-t={tune}\"+\n",
    "        f\"-d={draws}\"+\n",
    "        f\"-max_treedepth={max_treedepth}.pkl\")\n",
    "    #print(fstr(4000, 8000, 12))\n",
    "    if os.path.exists(fstr(4000, 8000, 12)):\n",
    "        try:\n",
    "            model, trace = load(fstr(4000, 8000, 12))\n",
    "            print(f\"Use 8000 sample runs for {country}\")\n",
    "        except:\n",
    "            pass\n",
    "    if model is None and os.path.exists(fstr(2000, 4000, 12)):\n",
    "        try:\n",
    "            model, trace = load(fstr(2000, 4000, 12))\n",
    "            print(f\"Use 4000 sample runs for {country}\")\n",
    "        except:\n",
    "            pass\n",
    "    if model is None and os.path.exists(fstr(1000, 1500, 12)):\n",
    "        try: \n",
    "            model, trace = load(fstr(1000, 1500, 12))\n",
    "            print(f\"Use 1500 sample runs for {country}\")\n",
    "        except:\n",
    "            pass\n",
    "    if model is None:\n",
    "        print(\" not found\")\n",
    "        continue\n",
    "    \n",
    "    # Remove chains with likelihood larger than -200, should only be the case for 2 chains in France\n",
    "    mask = (np.mean(trace.sample_stats.lp, axis=1)>-200)\n",
    "    trace.posterior = trace.posterior.sel(chain=~mask)\n",
    "    \n",
    "    dl = covid19_soccer.dataloader.Dataloader_gender(countries=[country])\n",
    "    models.append(model)\n",
    "    traces.append(trace)\n",
    "    dls.append(dl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7d1185c3dd27445683473791d976f7e8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "infections_no = []\n",
    "infections_primary = []\n",
    "infections_secondary = []\n",
    "for i, country in tqdm(enumerate(countries)):\n",
    "    trace_without_soccer, trace_primary_soccer = load(f\"/data.nst/smohr/covid19_soccer_data/primary_and_subsequent/{country}.pkl\")\n",
    "    shape = trace_without_soccer.predictions[\"new_cases\"].to_numpy().shape\n",
    "    x = pd.date_range(models[i].sim_begin, models[i].sim_end)\n",
    "    y0 = trace_without_soccer.predictions[\"new_cases\"].to_numpy().reshape(shape[0]*shape[1]*shape[2],shape[3],shape[4])\n",
    "    y1 = trace_primary_soccer.predictions[\"new_cases\"].to_numpy().reshape(shape[0]*shape[1]*shape[2],shape[3],shape[4]) - y0\n",
    "    y2 = traces[i].posterior[\"new_cases\"].to_numpy().reshape(shape[0]*shape[1]*shape[2],shape[3],shape[4]) - y1 - y0\n",
    "\n",
    "    begin = datetime.datetime(2021, 6, 11)\n",
    "    end = datetime.datetime(2021, 7, 31)\n",
    "    i_begin = (begin - model.sim_begin).days\n",
    "    i_end = (end - model.sim_begin).days + 1  # inclusiv last day\n",
    "\n",
    "    y0 = np.sum(y0[..., i_begin:i_end, :], axis=-2)\n",
    "    y1 = np.sum(y1[..., i_begin:i_end, :], axis=-2)\n",
    "    y2 = np.sum(y2[..., i_begin:i_end, :], axis=-2)\n",
    "\n",
    "    infections_no.append(y0)\n",
    "    infections_primary.append(y1)\n",
    "    infections_secondary.append(y2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_primary  = pd.DataFrame()\n",
    "means = []\n",
    "for i,country in enumerate(countries):\n",
    "    # compute fraction of infected people\n",
    "    t_numpy = infections_primary[i] / (infections_no[i] + infections_primary[i] + infections_secondary[i]) * 100\n",
    "\n",
    "    male = np.stack(\n",
    "        (t_numpy[:, 0], np.zeros(t_numpy[:, 0].shape)), axis=1\n",
    "    )\n",
    "    female = np.stack(\n",
    "        (t_numpy[:, 1], np.ones(t_numpy[:, 1].shape)), axis=1\n",
    "    )\n",
    "    # Create dataframe for plotting\n",
    "    temp = pd.DataFrame(np.concatenate((male, female)), columns=[\"percentage_primary\", \"gender\"])\n",
    "    temp[\"gender\"] = pd.cut(\n",
    "        temp[\"gender\"], bins=[-1, 0.5, 1], labels=[\"male\", \"female\"]\n",
    "    )\n",
    "    temp[\"country\"] = country\n",
    "    data_primary = pd.concat([data_primary, temp])\n",
    "    means.append(np.mean(temp[\"percentage_primary\"]))\n",
    "country_order_primar = np.argsort(means)[::-1]\n",
    "\n",
    "data_primary_and_subsequent = pd.DataFrame()\n",
    "means = []\n",
    "for i, country in enumerate(countries):\n",
    "\n",
    "    # compute fraction\n",
    "    t_numpy = (infections_primary[i]+infections_secondary[i])/(infections_no[i] + infections_primary[i] + infections_secondary[i]) * 100\n",
    "\n",
    "    male = np.stack(\n",
    "        (t_numpy[:, 0], np.zeros(t_numpy[:, 0].shape)), axis=1\n",
    "    )\n",
    "    female = np.stack(\n",
    "        (t_numpy[:, 1], np.ones(t_numpy[:, 1].shape)), axis=1\n",
    "    )\n",
    "    # Create dataframe for plotting\n",
    "    temp = pd.DataFrame(np.concatenate((male, female)), columns=[\"percentage_primary_and_subsequent\", \"gender\"])\n",
    "    temp[\"gender\"] = pd.cut(\n",
    "        temp[\"gender\"], bins=[-1, 0.5, 1], labels=[\"male\", \"female\"]\n",
    "    )\n",
    "    temp[\"country\"] = country\n",
    "    data_primary_and_subsequent = pd.concat([data_primary_and_subsequent, temp])\n",
    "    means.append(np.mean(temp[\"percentage_primary_and_subsequent\"]))\n",
    "country_order_primary_and_subsequent = np.argsort(means)[::-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation between NPIs stringency pre EURO2020 and effect size\n",
    "Get data for the non-pharmacutical interventions (NPIs) stringency as tracked by the Oxford Stringency Index and by the PHMS stringency index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute interesting values as fraction and as incidence\n",
    "primary_frac = []\n",
    "for i, country in enumerate(countries):\n",
    "    temp = data_primary[data_primary[\"country\"] == country].drop(columns=[\"country\"])\n",
    "    primary_frac.append(np.mean(temp.to_numpy()[:,0].reshape((2,-1)), axis=0))\n",
    "\n",
    "\n",
    "primary_and_subsequent_frac = []\n",
    "for i, country in enumerate(countries):\n",
    "    temp = data_primary_and_subsequent[data_primary_and_subsequent[\"country\"] == country].drop(columns=[\"country\",\"gender\"])\n",
    "    primary_and_subsequent_frac.append(temp.to_numpy()[:,0])\n",
    "\n",
    "\n",
    "primary_inci = []\n",
    "for i, country in enumerate(countries):\n",
    "    temp = infections_primary[i]\n",
    "    primary_inci.append(temp.sum(axis=1) / dls[i].population.sum()*1e6)\n",
    "\n",
    "primary_and_subsequent_inci = []\n",
    "for i, country in enumerate(countries):\n",
    "    temp = infections_primary[i] + infections_secondary[i]\n",
    "    primary_and_subsequent_inci.append(temp.sum(axis=1) / dls[i].population.sum()*1e6)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO     [covid19_inference.data_retrieval.retrieval] Successfully downloaded OxCGRT.csv.gz to /tmp/covid19_data/.\n",
      "INFO     [covid19_inference.data_retrieval.retrieval] Local backup to /tmp/covid19_data/OxCGRT.csv.gz successful.\n"
     ]
    }
   ],
   "source": [
    "# Load stringency index\n",
    "from covid19_inference import data_retrieval as cov19dat\n",
    "\n",
    "stringency = cov19dat.OxCGRT()\n",
    "stringency.url_csv = 'https://raw.githubusercontent.com/OxCGRT/covid-policy-tracker-legacy/main/legacy_data_202207/OxCGRT_latest.csv'\n",
    "stringency.download_all_available_data(force_download=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "columnsStringencyPreEuro2020 = []\n",
    "meanStringencyPreEuro2020 = []\n",
    "stdStringencyPreEuro2020 = []\n",
    "\n",
    "# Begin and end dates for EURO2020\n",
    "begin = datetime.datetime(2021, 6, 11)\n",
    "end = datetime.datetime(2021, 7, 11)\n",
    "\n",
    "for i, country in enumerate(countries):\n",
    "    if country == \"Slovakia\":\n",
    "        country = \"Slovak Republic\"\n",
    "    if country == \"Czechia\":\n",
    "        country = \"Czech Republic\"\n",
    "    if country in [\"England\",\"Scotland\"]:\n",
    "        SindexCountry = stringency.data[stringency.data[\"RegionName\"] == country][\"StringencyIndex\"][begin-datetime.timedelta(days=14):begin]\n",
    "    else:\n",
    "        SindexCountry = stringency.data[stringency.data[\"country\"] == country][\"StringencyIndex\"][begin-datetime.timedelta(days=14):begin]\n",
    "\n",
    "    meanStringencyPreEuro2020.append(SindexCountry.mean())\n",
    "    stdStringencyPreEuro2020.append(SindexCountry.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "meanStringencyPHMSPreEuro2020 = []\n",
    "stdStringencyPHMSPreEuro2020 = []\n",
    "\n",
    "# Load data\n",
    "phms = pd.read_csv(\"../../data/Severity index - 2022-03-31.csv\")\n",
    "phms[\"Date\"] = pd.to_datetime(phms[\"Date\"],format=\"%d-%b-%y\")\n",
    "phms = phms.set_index([\"Country\",\"Date\"])\n",
    "# Begin and end dates for EURO2020\n",
    "begin = datetime.datetime(2021, 6, 11)\n",
    "end = datetime.datetime(2021, 7, 11)\n",
    "\n",
    "for i, country in enumerate(countries):\n",
    "    if country == \"Czechia\":\n",
    "        country = \"Czech Republic\"\n",
    "    if country in [\"England\",\"Scotland\"]:\n",
    "        country = \"United Kingdom\"\n",
    "        \n",
    "    SindexCountry = phms.loc[country,:][\"PHSM SI\"].resample('D').fillna(0)[begin-datetime.timedelta(days=14):begin]\n",
    "    \n",
    "    meanStringencyPHMSPreEuro2020.append(SindexCountry.mean())\n",
    "    stdStringencyPHMSPreEuro2020.append(SindexCountry.std())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation between Mobility during EURO2020 and effect size\n",
    "\n",
    "Creates a correlation plot between google mobility index and the primary and secondary soccer related effect."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO     [covid19_inference.data_retrieval.retrieval] Successfully loaded Google.csv.gz from /tmp/covid19_data/, skipping download.\n"
     ]
    }
   ],
   "source": [
    "mobility = cov19dat.GOOGLE(True)\n",
    "df = mobility.data\n",
    "df = df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "city2country = {\n",
    "    'Aberdeen City': 'Scotland',\n",
    "    'Aberdeenshire': 'Scotland',\n",
    "    'Angus Council': 'Scotland',\n",
    "    'Antrim and Newtownabbey': 'Northern Ireland',\n",
    "    'Ards and North Down': 'Northern Ireland',\n",
    "    'Argyll and Bute Council': 'Scotland',\n",
    "    'Armagh City, Banbridge and Craigavon': 'Northern Ireland',\n",
    "    'Bath and North East Somerset': 'England',\n",
    "    'Bedford': 'England',\n",
    "    'Belfast': 'Northern Ireland',\n",
    "    'Blackburn with Darwen': 'England',\n",
    "    'Blackpool': 'England',\n",
    "    'Blaenau Gwent': 'Wales',\n",
    "    'Borough of Halton': 'England',\n",
    "    'Bracknell Forest': 'England',\n",
    "    'Bridgend County Borough': 'Wales',\n",
    "    'Brighton and Hove': 'England',\n",
    "    'Bristol City': 'England',\n",
    "    'Buckinghamshire': 'England', \n",
    "    'Caerphilly County Borough': 'Wales',\n",
    "    'Cambridgeshire': 'England', \n",
    "    'Cardiff': 'Wales',\n",
    "    'Carmarthenshire': 'Wales', \n",
    "    'Causeway Coast and Glens': 'England',\n",
    "    'Central Bedfordshire': 'England',\n",
    "    'Ceredigion': 'Wales',\n",
    "    'Cheshire East': 'England',\n",
    "    'Cheshire West and Chester': 'England',\n",
    "    'Clackmannanshire': 'Scotland',\n",
    "    'Conwy Principal Area': 'Wales',\n",
    "    'Cornwall': 'England',\n",
    "    'County Durham': 'England',\n",
    "    'Cumbria': 'England',\n",
    "    'Darlington': 'England',\n",
    "    'Denbighshire': 'Wales',\n",
    "    'Derby': 'England',\n",
    "    'Derbyshire': 'England',\n",
    "    'Derry and Strabane': 'Northern Ireland',\n",
    "    'Devon': 'England',\n",
    "    'Dorset': 'England',\n",
    "    'Dumfries and Galloway': 'Scotland',\n",
    "    'Dundee City Council': 'Scotland',\n",
    "    'East Ayrshire Council': 'Scotland',\n",
    "    'East Dunbartonshire Council': 'Scotland',\n",
    "    'East Lothian Council': 'Scotland',\n",
    "    'East Renfrewshire Council': 'Scotland',\n",
    "    'East Riding of Yorkshire': 'England',\n",
    "    'East Sussex': 'England',\n",
    "    'Edinburgh': 'Scotland',\n",
    "    'Essex': 'England',\n",
    "    'Falkirk': 'Scotland',\n",
    "    'Fermanagh and Omagh': 'Northern Ireland',\n",
    "    'Fife': 'Scotland',\n",
    "    'Flintshire': 'Wales',\n",
    "    'Glasgow City': 'Scotland',\n",
    "    'Gloucestershire': 'England',\n",
    "    'Greater London': 'England',\n",
    "    'Greater Manchester': 'England',\n",
    "    'Gwynedd': 'Wales',\n",
    "    'Hampshire': 'England',\n",
    "    'Hartlepool': 'England',\n",
    "    'Herefordshire': 'England',\n",
    "    'Hertfordshire': 'England',\n",
    "    'Highland Council': 'Scotland',\n",
    "    'Inverclyde': 'Scotland',\n",
    "    'Isle of Anglesey': 'Wales',\n",
    "    'Isle of Wight': 'England',\n",
    "    'Kent': 'England',\n",
    "    'Kingston upon Hull': 'England',\n",
    "    'Lancashire': 'England',\n",
    "    'Leicester': 'England',\n",
    "    'Leicestershire': 'England',\n",
    "    'Lincolnshire': 'England',\n",
    "    'Lisburn and Castlereagh': 'Northern Ireland',\n",
    "    'Luton': 'England',\n",
    "    'Medway': 'England',\n",
    "    'Merseyside': 'England',\n",
    "    'Merthyr Tydfil County Borough': 'Wales',\n",
    "    'Mid and East Antrim': 'Northern Ireland',\n",
    "    'Mid Ulster': 'Northern Ireland',\n",
    "    'Middlesbrough': 'England',\n",
    "    'Midlothian': 'Scotland',\n",
    "    'Milton Keynes':  'England',\n",
    "    'Monmouthshire': 'Wales',\n",
    "    'Moray': 'Scotland',\n",
    "    'Na h-Eileanan an Iar': 'Scotland',\n",
    "    'Neath Port Talbot Principle Area': 'Wales',\n",
    "    'Newport': 'Wales',\n",
    "    'Newry, Mourne and Down': 'Northern Ireland',\n",
    "    'Norfolk': 'England',\n",
    "    'North Ayrshire Council': 'Scotland',\n",
    "    'North East Lincolnshire': 'England',\n",
    "    'North Lanarkshire': 'Scotland',\n",
    "    'North Lincolnshire': 'England',\n",
    "    'North Somerset': 'England',\n",
    "    'North Yorkshire': 'England',\n",
    "    'Northamptonshire': 'England',\n",
    "    'Northumberland': 'England',\n",
    "    'Nottingham': 'England',\n",
    "    'Nottinghamshire': 'England',\n",
    "    'Orkney': 'Scotland',\n",
    "    'Oxfordshire': 'England',\n",
    "    'Pembrokeshire': 'Wales',   \n",
    "    'Perth and Kinross': 'Scotland',\n",
    "    'Peterborough': 'England',\n",
    "    'Plymouth': 'England',\n",
    "    'Portsmouth': 'England',\n",
    "    'Powys': 'Wales',\n",
    "    'Reading': 'England',\n",
    "    'Redcar and Cleveland': 'England',\n",
    "    'Renfrewshire': 'Scotland',\n",
    "    'Rhondda Cynon Taff': 'Wales',\n",
    "    'Rutland': 'England',\n",
    "    'Scottish Borders': 'Scotland',\n",
    "    'Shetland Islands': 'Scotland',\n",
    "    'Shropshire': 'England',\n",
    "    'Slough': 'England',\n",
    "    'Somerset': 'England',\n",
    "    'South Ayrshire Council': 'Scotland',\n",
    "    'South Gloucestershire': 'England',\n",
    "    'South Lanarkshire': 'Scotland',\n",
    "    'South Yorkshire': 'England',\n",
    "    'Southampton': 'England',\n",
    "    'Southend-on-Sea': 'England',\n",
    "    'Staffordshire': 'England',\n",
    "    'Stirling': 'Scotland',\n",
    "    'Stockton-on-Tees': 'England',\n",
    "    'Stoke-on-Trent': 'England',\n",
    "    'Suffolk': 'England',\n",
    "    'Surrey': 'England',\n",
    "    'Swansea': 'Wales',\n",
    "    'Swindon': 'England',\n",
    "    'Thurrock': 'England',\n",
    "    'Torbay': 'England',\n",
    "    'Torfaen Principal Area': 'Wales',\n",
    "    'Tyne and Wear': 'England',\n",
    "    'Vale of Glamorgan': 'Wales',\n",
    "    'Warrington': 'England',\n",
    "    'Warwickshire': 'England',\n",
    "    'West Berkshire': 'England',\n",
    "    'West Dunbartonshire Council': 'Scotland',\n",
    "    'West Lothian': 'Scotland',\n",
    "    'West Midlands': 'England',\n",
    "    'West Sussex': 'England',\n",
    "    'West Yorkshire': 'England',\n",
    "    'Wiltshire': 'England',\n",
    "    'Windsor and Maidenhead': 'England',\n",
    "    'Wokingham': 'England',\n",
    "    'Worcestershire': 'England',\n",
    "    'Wrexham Principal Area': 'Wales',\n",
    "    'York': 'England'\n",
    "}\n",
    "\n",
    "\n",
    "def apply_city_to_country(row):\n",
    "    if row[\"state\"] in city2country:\n",
    "        row[\"country\"] = city2country[row[\"state\"]]\n",
    "    return row\n",
    "\n",
    "df[df[\"country\"]==\"United Kingdom\"] = df[df[\"country\"]==\"United Kingdom\"].apply(apply_city_to_country, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "measures = ['retail_and_recreation_percent_change_from_baseline',\n",
    "       'grocery_and_pharmacy_percent_change_from_baseline',\n",
    "       'parks_percent_change_from_baseline',\n",
    "       'transit_stations_percent_change_from_baseline',\n",
    "       'workplaces_percent_change_from_baseline',\n",
    "       'residential_percent_change_from_baseline']\n",
    "\n",
    "measure2title = {\n",
    "    'retail_and_recreation_percent_change_from_baseline': 'Retail and recreation',\n",
    "    'grocery_and_pharmacy_percent_change_from_baseline': 'Grocery and pharmacy',\n",
    "    'parks_percent_change_from_baseline': 'Parks',\n",
    "    'transit_stations_percent_change_from_baseline': 'Transit stations',\n",
    "    'workplaces_percent_change_from_baseline': 'Workplaces',\n",
    "    'residential_percent_change_from_baseline': 'Residential'\n",
    "}\n",
    "\n",
    "meanMobilityEuro2020 = {}\n",
    "for measure in measures:\n",
    "    meanMobilityEuro2020[measure] = []\n",
    "\n",
    "for i, country in enumerate(countries):\n",
    "    # Mean over all Scotland and England entries\n",
    "    if country in [\"Scotland\",\"England\"]:\n",
    "        temp = df[df[\"country\"]==country].groupby(\"date\").mean()\n",
    "    else:\n",
    "        temp = df[df[\"country\"]==country]\n",
    "    \n",
    "    if \"state\" in temp.columns:\n",
    "        temp = temp[temp[\"state\"].isna()]\n",
    "\n",
    "    temp = temp.groupby(\"date\").mean()\n",
    "\n",
    "    for i, measure in enumerate(measures):\n",
    "        meanMobilityEuro2020[measure].append(temp[measure][begin:end].to_numpy())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation between Reproduction number pre EURO2020 and effect size\n",
    "\n",
    "Correlation plot reproduction number pre EURO2020 as inferred from our model and effect size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "reproNumberPreEURO2020 = []\n",
    "reproNumberPostEuro2020 = []\n",
    "for i, country in enumerate(countries):\n",
    "    i_begin = (begin - models[i].sim_begin).days\n",
    "    R = traces[i].posterior[\"R_t_base\"][:,:,i_begin-14:i_begin].to_numpy()\n",
    "    R = R.reshape(R.shape[0]*R.shape[1]*R.shape[2])\n",
    "    reproNumberPreEURO2020.append(R)\n",
    "\n",
    "    i_end = (end - models[i].sim_begin).days\n",
    "    R = traces[i].posterior[\"R_t_base\"][:,:,i_end-14:i_end].to_numpy()\n",
    "    R = R.reshape(R.shape[0]*R.shape[1]*R.shape[2])\n",
    "    reproNumberPostEuro2020.append(R)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation between incidence pre EURO2020 and effect size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO     [covid19_inference.data_retrieval._JHU] Successfully loaded data from local\n"
     ]
    }
   ],
   "source": [
    "from covid19_inference import data_retrieval as cov19dat\n",
    "\n",
    "jhu = cov19dat.JHU(True)\n",
    "\n",
    "\n",
    "incedencePreEuro2020 = []\n",
    "incedencePreEuro2020STD = []\n",
    "incedencePreEuro2020SUM = []\n",
    "for i, country in enumerate(countries):\n",
    "    temp = pd.DataFrame()\n",
    "    temp_m = dls[i]._cases.loc[\n",
    "        begin - datetime.timedelta(days=21) : begin,\n",
    "        \"male\",\n",
    "        \"total\",\n",
    "    ]\n",
    "    temp_f = dls[i]._cases.loc[\n",
    "        begin - datetime.timedelta(days=21) : begin,\n",
    "        \"female\",\n",
    "        \"total\",\n",
    "    ]\n",
    "\n",
    "    # Reshape to date, gender and male at the front\n",
    "    t =  np.stack((temp_m.to_numpy(), temp_f.to_numpy()), axis=1)\n",
    "    incidence = t.sum(axis=(1,2)) / dls[i].population.sum()*1e6\n",
    "    incedencePreEuro2020SUM.append(t.sum(axis=(0,1,2)) / dls[i].population.sum()*1e6)\n",
    "    incedencePreEuro2020.append(incidence.mean())\n",
    "    incedencePreEuro2020STD.append(incidence.std())\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "incidenceRelatedToEuro2020 = []\n",
    "for i, country in enumerate(countries):\n",
    "    temp = infections_primary[i]+infections_secondary[i]\n",
    "    incidenceRelatedToEuro2020.append(temp.sum(axis=1) / dls[i].population.sum()*1e6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data num Games played"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pymc3 as pm\n",
    "table_3 = []\n",
    "\n",
    "df = pd.read_csv(\"../../data/em_game_data.csv\",header=2)\n",
    "df = df[~df[\"id\"].astype(\"str\").str.contains(\"a\")] # Filter extra games we added for validation these are suffixed with a\n",
    "df[\" date\"]= pd.to_datetime(df[\" date\"])\n",
    "\n",
    "country2location = {\n",
    "    \"GB-ENG\":\"London\",\n",
    "    \"IT\":\"Rome\",\n",
    "    \"AZ\":\"Baku\",\n",
    "    \"DE\":\"Munich\",\n",
    "    \"RU\":\"Saint Petersburg\",\n",
    "    \"HU\":\"Budapest\",\n",
    "    \"ES\":\"Seville\",\n",
    "    \"RO\":\"Bucharest\",\n",
    "    \"NL\":\"Amsterdam\",\n",
    "    \"GB-SCT\":\"Glasgow\",\n",
    "    \"DK\":\"Copenhagen\"\n",
    "}\n",
    "country_order_primar = list(range(len(countries)))\n",
    "for i, country in enumerate(np.array(countries)):\n",
    "    c = country_order_primar[i]\n",
    "    iso2 = dls[c].countries_iso2[0]\n",
    "    gamesByTeam = df[df[' team1'].str.contains(iso2) | df[' team2'].str.contains(iso2)] \n",
    "\n",
    "\n",
    "    \n",
    "    if iso2 in country2location:\n",
    "        location = country2location[iso2]\n",
    "        gamesHosted = df[df[' location'].str.contains(location)]\n",
    "    else:\n",
    "        location = \"placeholder\"\n",
    "        gamesHosted = np.zeros((0,8))\n",
    "    \n",
    "    union = df[df[' team1'].str.contains(iso2) | df[' team2'].str.contains(iso2) |  df[' location'].str.contains(location)]\n",
    "    row = []\n",
    "    row.append(country)\n",
    "    row.append(gamesByTeam.shape[0])\n",
    "    row.append(gamesHosted.shape[0])\n",
    "    row.append(union.shape[0])\n",
    "    row.append((gamesByTeam[\" date\"].max()-gamesByTeam[\" date\"].min()).days)\n",
    "    \n",
    "    \n",
    "    table_3.append(row)\n",
    "nGamesUnion=np.array(table_3)[:,3].astype(int)\n",
    "nGamesPlayed = np.array(table_3)[:,1].astype(int)\n",
    "daysInTournament = np.array(table_3)[:,4].astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pairwise correlation with pymc3\n",
    "\n",
    "This runs the analysis, can take quite a while as it is not parallised. You can also load the traces from the data repo!\n",
    "See below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "Y = []\n",
    "Y_err = []\n",
    "Y_frac = []\n",
    "Y_frac_err = []\n",
    "X = []\n",
    "X_err = []\n",
    "\n",
    "for i, country in enumerate(countries):\n",
    "    X_c = []\n",
    "    X_err_c = []\n",
    "\n",
    "\n",
    "    Y.append(primary_and_subsequent_inci[i].mean())\n",
    "    Y_err.append(primary_and_subsequent_inci[i].std())\n",
    "    \n",
    "    Y_frac.append(primary_frac[i].mean())\n",
    "    Y_frac_err.append(primary_frac[i].std())\n",
    "\n",
    "    x1 = reproNumberPreEURO2020[i].mean()\n",
    "    x1_err = reproNumberPreEURO2020[i].std()\n",
    "    X_c.append(x1)\n",
    "    X_err_c.append(x1_err)\n",
    "\n",
    "    x2 = incedencePreEuro2020SUM[i]\n",
    "    x2_err = incedencePreEuro2020STD[i]\n",
    "    X_c.append(x2)\n",
    "    X_err_c.append(x2_err)\n",
    "\n",
    "    x3 = meanStringencyPreEuro2020[i]\n",
    "    x3_err = stdStringencyPreEuro2020[i]\n",
    "    X_c.append(x3)\n",
    "    X_err_c.append(x3_err)\n",
    "    \n",
    "    # Get mobility\n",
    "    for measure in measures:\n",
    "        X_c.append(meanMobilityEuro2020[measure][i].mean())\n",
    "        X_err_c.append(meanMobilityEuro2020[measure][i].std()/np.sqrt(len(meanMobilityEuro2020[measure][i])))\n",
    "\n",
    "    X.append(X_c)\n",
    "    X_err.append(X_err_c)\n",
    "\n",
    "    #print(Y[i]-Y_err[i], Y[i]+Y_err[i])\n",
    "    #print(np.percentile(primary_and_subsequent_inci[i],[2.5,97.5]))\n",
    "\n",
    "# Has now shape country, categorie\n",
    "X = np.array(X)\n",
    "X_err = np.array(X_err)\n",
    "\n",
    "# Has now shape country\n",
    "Y = np.array(Y)\n",
    "Y_err = np.array(Y_err)\n",
    "\n",
    "n_countries = X.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reduce_samples(curr_list):\n",
    "    number_of_samples = 500\n",
    "    for i, array in enumerate(curr_list):\n",
    "        array = array[...,np.random.choice(array.shape[-1], number_of_samples, replace = False)]\n",
    "        curr_list[i] = array\n",
    "    return np.array(curr_list).astype('float')\n",
    "\n",
    "primary_frac_redu = reduce_samples(primary_frac)\n",
    "primary_and_subsequent_inci_redu = reduce_samples(primary_and_subsequent_inci)\n",
    "\n",
    "def get_model(X,X_err,Y=Y,pBeta=100_000):\n",
    "    \n",
    "    n_countries = X.shape[0]\n",
    "    with pm.Model() as model:\n",
    "        # Priors Y\n",
    "        y_data = pm.Data(\"Y\", Y) #\n",
    "\n",
    "        # Prior X\n",
    "        x_data = pm.Data(\"X\",X)\n",
    "        x_data_err = pm.Data(\"X_err\",X_err)\n",
    "        error = pm.Normal(\"error\", mu=0, sd=1, shape=(n_countries))*x_data_err # Xerror\n",
    "\n",
    "        # Prior linear fit i.e. no effect \n",
    "        tau = pm.HalfCauchy(\"tau\", beta=10_000)\n",
    "        beta = pm.Normal('beta', mu=0, sd=pBeta)\n",
    "        intercept = pm.Normal('intercept', mu=0, sd=10_000)\n",
    "\n",
    "        # Country shape\n",
    "        mu = intercept+(x_data+error)*beta\n",
    "\n",
    "        deviation = pm.Normal(\"deviation\", mu=0, sigma=1, shape=(n_countries))\n",
    "        country_effect = deviation*tau + mu\n",
    "        country_effect = pm.Deterministic(\"country_effect\", country_effect)\n",
    "\n",
    "        sigma_obs = pm.HalfCauchy(\"sigma\", beta=10000, shape=(n_countries))\n",
    "\n",
    "        pm.StudentT(\"y_obs\", nu=4, mu=country_effect[...,None], sigma=sigma_obs[...,None], observed=y_data)\n",
    "    return model\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run all models (see below to just load the fisished traces)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "modelStringencyPreEURO2020 = get_model(X[:,2],X_err[:,2],Y=primary_and_subsequent_inci_redu)\n",
    "traceStringencyPreEURO2020 = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelStringencyPreEURO2020)\n",
    "\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/stringencyPre2020.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelStringencyPreEURO2020,traceStringencyPreEURO2020), f)\n",
    "\n",
    "    \n",
    "modelReproPreEURO2020 = get_model(X[:,0],X_err[:,0],Y=primary_and_subsequent_inci_redu)\n",
    "traceReproPreEURO2020 = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelReproPreEURO2020)\n",
    "\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/reproPreEURO2020.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelReproPreEURO2020,traceReproPreEURO2020), f)\n",
    "\n",
    "\n",
    "modelIncidencePreEURO2020 = get_model(X[:,1],np.zeros(len(countries)),Y=primary_and_subsequent_inci_redu)\n",
    "traceIncidencePreEURO2020 = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelIncidencePreEURO2020)\n",
    "\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/incidencePreEURO2020.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelIncidencePreEURO2020,traceIncidencePreEURO2020), f)\n",
    "\n",
    "\n",
    "modelNGames = get_model(nGamesUnion, np.zeros(len(countries)),Y=primary_frac_redu)\n",
    "traceNGames = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelNGames)\n",
    "\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/nGamesUnion.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelNGames,traceNGames), f)\n",
    "\n",
    "    \n",
    "modelNGamesInci = get_model(nGamesUnion, np.zeros(len(countries)),Y=primary_and_subsequent_inci)\n",
    "traceNGamesInci = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelNGamesInci)\n",
    "\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/nGamesUnionInci.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelNGamesInci,traceNGamesInci), f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "measures = ['retail_and_recreation_percent_change_fromgridspeceline',\n",
    "       'grocery_and_pharmacy_percent_change_from_baseline',\n",
    "       'parks_percent_change_from_baseline',\n",
    "       'transit_stations_percent_change_from_baseline',\n",
    "       'workplaces_percent_change_from_baseline',\n",
    "       'residential_percent_change_from_baseline']\n",
    "\n",
    "modelMobilityRetail = get_model(X[:,3],X_err[:,3],Y=primary_frac_redu) #Retail and recreation\n",
    "traceMobilityRetail = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelMobilityRetail)\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityRetail.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelMobilityRetail,traceMobilityRetail), f)\n",
    "\n",
    "modelMobilityGrocery = get_model(X[:,4],X_err[:,4],Y=primary_frac_redu) #Grocery Pharm\n",
    "traceMobilityGrocery = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelMobilityGrocery)\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityGrocery.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelMobilityGrocery,traceMobilityGrocery), f)\n",
    "\n",
    "modelMobilityParks = get_model(X[:,5],X_err[:,5],Y=primary_frac_redu) #Parks\n",
    "traceMobilityParks = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelMobilityParks)\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityParks.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelMobilityParks,traceMobilityParks), f)\n",
    "\n",
    "    \n",
    "modelMobilityTransit = get_model(X[:,6],X_err[:,6],Y=primary_frac_redu) #transit\n",
    "traceMobilityTransit = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelMobilityTransit)\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityTransit.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelMobilityTransit,traceMobilityTransit), f)\n",
    "\n",
    "modelMobilityWorkplace = get_model(X[:,7],X_err[:,7],Y=primary_frac_redu) #workplaces\n",
    "traceMobilityWorkplace = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelMobilityWorkplace)\n",
    "    pickle.dump((modelMobilityWorkplace,traceMobilityWorkplace), f)\n",
    "\n",
    "modelMobilityResidential = get_model(X[:,8],X_err[:,8],Y=primary_frac_redu) #Residential\n",
    "traceMobilityResidential = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelMobilityResidential)\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityResidential.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelMobilityResidential,traceMobilityResidential), f)\n",
    "\n",
    "\n",
    "modelMobilityWorkplace = get_model(X[:,7],X_err[:,7],Y=primary_frac_redu) #workplaces\n",
    "traceMobilityWorkplace = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelMobilityWorkplace)\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityWorkplace.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelMobilityWorkplace,traceMobilityWorkplace), f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_combined = []\n",
    "X_combined_err = []\n",
    "for i, country in enumerate(countries):\n",
    "    X_c = []\n",
    "    X_err_c = []\n",
    "    \n",
    "    X_c.append(incedencePreEuro2020SUM[i] * reproNumberPreEURO2020[i].mean()**10 * nGamesPlayed[i])\n",
    "    X_err_c.append(0)\n",
    "    \n",
    "    \n",
    "    X_c.append(incedencePreEuro2020SUM[i] * reproNumberPreEURO2020[i].mean() ** (daysInTournament[i]/4))\n",
    "    X_err_c.append(0)\n",
    "    \n",
    "\n",
    "    X_combined.append(X_c)\n",
    "    X_combined_err.append(X_err_c)\n",
    "\n",
    "X_combined = np.array(X_combined)\n",
    "X_combined_err = np.array(X_combined_err)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "modelCombined0 = get_model(X_combined[:,0],X_combined_err[:,0],Y=primary_and_subsequent_inci_redu) \n",
    "modelCombined1 = get_model(X_combined[:,1],X_combined_err[:,1],Y=primary_and_subsequent_inci_redu)\n",
    "\n",
    "#traceCombined0 = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelCombined0)\n",
    "traceCombined1 = pm.sample(8000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelCombined1)\n",
    "\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/potential.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelCombined1,traceCombined1), f)\n",
    "modelMobilityParksInci = get_model(X[:,5],X_err[:,5],Y=primary_and_subsequent_inci_redu) #Parks\n",
    "modelMobilityParksInci = pm.sample(2000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=modelMobilityParksInci)\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityParksInci.pkl\", \"wb\") as f:\n",
    "    pickle.dump((modelMobilityParksInci,modelMobilityParksInci), f)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load in case the analysis should not be rerun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "modelStringencyPreEURO2020,traceStringencyPreEURO2020 = load(f\"/data.nst/smohr/covid19_soccer_data/correlations/stringencyPre2020.pkl\")\n",
    "modelReproPreEURO2020,traceReproPreEURO2020 = load(\"/data.nst/smohr/covid19_soccer_data/correlations/reproPreEURO2020.pkl\")\n",
    "modelIncidencePreEURO2020,traceIncidencePreEURO2020 = load(f\"/data.nst/smohr/covid19_soccer_data/correlations/incidencePreEURO2020.pkl\")\n",
    "modelNGames,traceNGames = load(\"/data.nst/smohr/covid19_soccer_data/correlations/nGamesUnion.pkl\")\n",
    "modelNGamesInci, traceNGamesInci = load(\"/data.nst/smohr/covid19_soccer_data/correlations/nGamesUnionInci.pkl\")\n",
    "\n",
    "modelMobilityRetail,traceMobilityRetail = load(\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityRetail.pkl\")\n",
    "modelMobilityGrocery,traceMobilityGrocery = load(\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityGrocery.pkl\")\n",
    "modelMobilityParks,traceMobilityParks = load(\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityParks.pkl\")\n",
    "modelMobilityTransit,traceMobilityTransit = load(\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityTransit.pkl\")\n",
    "modelMobilityWorkplace,traceMobilityWorkplace = load(\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityWorkplace.pkl\")\n",
    "modelMobilityResidential,traceMobilityResidential = load(\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityResidential.pkl\")\n",
    "\n",
    "modelCombined1,traceCombined1 = load(\"/data.nst/smohr/covid19_soccer_data/correlations/potential.pkl\")\n",
    "modelMobilityParksInci, traceMobilityParksInci = load(\"/data.nst/smohr/covid19_soccer_data/correlations/mobilityParksInci.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<!-- Generated by graphviz version 2.48.0 (20210717.2242)\n",
       " -->\n",
       "<!-- Pages: 1 -->\n",
       "<svg width=\"841pt\" height=\"438pt\"\n",
       " viewBox=\"0.00 0.00 840.98 437.91\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 433.91)\">\n",
       "<polygon fill=\"white\" stroke=\"transparent\" points=\"-4,4 -4,-433.91 836.98,-433.91 836.98,4 -4,4\"/>\n",
       "<g id=\"clust1\" class=\"cluster\">\n",
       "<title>cluster11 x 500</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M495.98,-8C495.98,-8 581.98,-8 581.98,-8 587.98,-8 593.98,-14 593.98,-20 593.98,-20 593.98,-198.95 593.98,-198.95 593.98,-204.95 587.98,-210.95 581.98,-210.95 581.98,-210.95 495.98,-210.95 495.98,-210.95 489.98,-210.95 483.98,-204.95 483.98,-198.95 483.98,-198.95 483.98,-20 483.98,-20 483.98,-14 489.98,-8 495.98,-8\"/>\n",
       "<text text-anchor=\"middle\" x=\"561.48\" y=\"-15.8\" font-family=\"Times,serif\" font-size=\"14.00\">11 x 500</text>\n",
       "</g>\n",
       "<g id=\"clust2\" class=\"cluster\">\n",
       "<title>cluster11</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M346.98,-218.95C346.98,-218.95 812.98,-218.95 812.98,-218.95 818.98,-218.95 824.98,-224.95 824.98,-230.95 824.98,-230.95 824.98,-409.91 824.98,-409.91 824.98,-415.91 818.98,-421.91 812.98,-421.91 812.98,-421.91 346.98,-421.91 346.98,-421.91 340.98,-421.91 334.98,-415.91 334.98,-409.91 334.98,-409.91 334.98,-230.95 334.98,-230.95 334.98,-224.95 340.98,-218.95 346.98,-218.95\"/>\n",
       "<text text-anchor=\"middle\" x=\"809.98\" y=\"-226.75\" font-family=\"Times,serif\" font-size=\"14.00\">11</text>\n",
       "</g>\n",
       "<!-- Y -->\n",
       "<g id=\"node1\" class=\"node\">\n",
       "<title>Y</title>\n",
       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M553.98,-92C553.98,-92 523.98,-92 523.98,-92 517.98,-92 511.98,-86 511.98,-80 511.98,-80 511.98,-51 511.98,-51 511.98,-45 517.98,-39 523.98,-39 523.98,-39 553.98,-39 553.98,-39 559.98,-39 565.98,-45 565.98,-51 565.98,-51 565.98,-80 565.98,-80 565.98,-86 559.98,-92 553.98,-92\"/>\n",
       "<text text-anchor=\"middle\" x=\"538.98\" y=\"-76.8\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
       "<text text-anchor=\"middle\" x=\"538.98\" y=\"-61.8\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"538.98\" y=\"-46.8\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
       "</g>\n",
       "<!-- y_obs -->\n",
       "<g id=\"node2\" class=\"node\">\n",
       "<title>y_obs</title>\n",
       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"538.98\" cy=\"-165.48\" rx=\"46.84\" ry=\"37.45\"/>\n",
       "<text text-anchor=\"middle\" x=\"538.98\" y=\"-176.78\" font-family=\"Times,serif\" font-size=\"14.00\">y_obs</text>\n",
       "<text text-anchor=\"middle\" x=\"538.98\" y=\"-161.78\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"538.98\" y=\"-146.78\" font-family=\"Times,serif\" font-size=\"14.00\">StudentT</text>\n",
       "</g>\n",
       "<!-- y_obs&#45;&gt;Y -->\n",
       "<g id=\"edge1\" class=\"edge\">\n",
       "<title>y_obs&#45;&gt;Y</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M538.98,-127.99C538.98,-119.58 538.98,-110.63 538.98,-102.25\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"542.48,-102.01 538.98,-92.01 535.48,-102.01 542.48,-102.01\"/>\n",
       "</g>\n",
       "<!-- X_err -->\n",
       "<g id=\"node3\" class=\"node\">\n",
       "<title>X_err</title>\n",
       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M670.98,-402.93C670.98,-402.93 640.98,-402.93 640.98,-402.93 634.98,-402.93 628.98,-396.93 628.98,-390.93 628.98,-390.93 628.98,-361.93 628.98,-361.93 628.98,-355.93 634.98,-349.93 640.98,-349.93 640.98,-349.93 670.98,-349.93 670.98,-349.93 676.98,-349.93 682.98,-355.93 682.98,-361.93 682.98,-361.93 682.98,-390.93 682.98,-390.93 682.98,-396.93 676.98,-402.93 670.98,-402.93\"/>\n",
       "<text text-anchor=\"middle\" x=\"655.98\" y=\"-387.73\" font-family=\"Times,serif\" font-size=\"14.00\">X_err</text>\n",
       "<text text-anchor=\"middle\" x=\"655.98\" y=\"-372.73\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"655.98\" y=\"-357.73\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
       "</g>\n",
       "<!-- country_effect -->\n",
       "<g id=\"node6\" class=\"node\">\n",
       "<title>country_effect</title>\n",
       "<polygon fill=\"none\" stroke=\"black\" points=\"488.48,-302.95 393.48,-302.95 393.48,-249.95 488.48,-249.95 488.48,-302.95\"/>\n",
       "<text text-anchor=\"middle\" x=\"440.98\" y=\"-287.75\" font-family=\"Times,serif\" font-size=\"14.00\">country_effect</text>\n",
       "<text text-anchor=\"middle\" x=\"440.98\" y=\"-272.75\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"440.98\" y=\"-257.75\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
       "</g>\n",
       "<!-- X_err&#45;&gt;country_effect -->\n",
       "<g id=\"edge2\" class=\"edge\">\n",
       "<title>X_err&#45;&gt;country_effect</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M633.74,-349.77C629.46,-345.78 624.8,-341.99 619.98,-338.95 582.74,-315.53 535.48,-299.78 498.87,-290.09\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"499.41,-286.61 488.85,-287.52 497.66,-293.39 499.41,-286.61\"/>\n",
       "</g>\n",
       "<!-- X -->\n",
       "<g id=\"node4\" class=\"node\">\n",
       "<title>X</title>\n",
       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M598.98,-402.93C598.98,-402.93 568.98,-402.93 568.98,-402.93 562.98,-402.93 556.98,-396.93 556.98,-390.93 556.98,-390.93 556.98,-361.93 556.98,-361.93 556.98,-355.93 562.98,-349.93 568.98,-349.93 568.98,-349.93 598.98,-349.93 598.98,-349.93 604.98,-349.93 610.98,-355.93 610.98,-361.93 610.98,-361.93 610.98,-390.93 610.98,-390.93 610.98,-396.93 604.98,-402.93 598.98,-402.93\"/>\n",
       "<text text-anchor=\"middle\" x=\"583.98\" y=\"-387.73\" font-family=\"Times,serif\" font-size=\"14.00\">X</text>\n",
       "<text text-anchor=\"middle\" x=\"583.98\" y=\"-372.73\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"583.98\" y=\"-357.73\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
       "</g>\n",
       "<!-- X&#45;&gt;country_effect -->\n",
       "<g id=\"edge4\" class=\"edge\">\n",
       "<title>X&#45;&gt;country_effect</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M560.42,-349.76C556.43,-345.95 552.21,-342.21 547.98,-338.95 532.52,-327.03 514.51,-315.8 497.72,-306.29\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"498.99,-302.99 488.54,-301.18 495.58,-309.1 498.99,-302.99\"/>\n",
       "</g>\n",
       "<!-- deviation -->\n",
       "<g id=\"node5\" class=\"node\">\n",
       "<title>deviation</title>\n",
       "<ellipse fill=\"none\" stroke=\"black\" cx=\"491.98\" cy=\"-376.43\" rx=\"47.25\" ry=\"37.45\"/>\n",
       "<text text-anchor=\"middle\" x=\"491.98\" y=\"-387.73\" font-family=\"Times,serif\" font-size=\"14.00\">deviation</text>\n",
       "<text text-anchor=\"middle\" x=\"491.98\" y=\"-372.73\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"491.98\" y=\"-357.73\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
       "</g>\n",
       "<!-- deviation&#45;&gt;country_effect -->\n",
       "<g id=\"edge5\" class=\"edge\">\n",
       "<title>deviation&#45;&gt;country_effect</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M474.29,-341.44C469.32,-331.89 463.91,-321.5 458.92,-311.92\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"462.02,-310.3 454.3,-303.04 455.81,-313.53 462.02,-310.3\"/>\n",
       "</g>\n",
       "<!-- country_effect&#45;&gt;y_obs -->\n",
       "<g id=\"edge9\" class=\"edge\">\n",
       "<title>country_effect&#45;&gt;y_obs</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M463.96,-249.9C476.2,-236.3 491.48,-219.3 505.06,-204.2\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"507.89,-206.28 511.98,-196.51 502.69,-201.6 507.89,-206.28\"/>\n",
       "</g>\n",
       "<!-- sigma -->\n",
       "<g id=\"node7\" class=\"node\">\n",
       "<title>sigma</title>\n",
       "<ellipse fill=\"none\" stroke=\"black\" cx=\"758.98\" cy=\"-376.43\" rx=\"57.97\" ry=\"37.45\"/>\n",
       "<text text-anchor=\"middle\" x=\"758.98\" y=\"-387.73\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
       "<text text-anchor=\"middle\" x=\"758.98\" y=\"-372.73\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"758.98\" y=\"-357.73\" font-family=\"Times,serif\" font-size=\"14.00\">HalfCauchy</text>\n",
       "</g>\n",
       "<!-- sigma&#45;&gt;y_obs -->\n",
       "<g id=\"edge10\" class=\"edge\">\n",
       "<title>sigma&#45;&gt;y_obs</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M726.99,-345.05C686.86,-306.93 618.18,-241.69 575.87,-201.51\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"578.21,-198.9 568.54,-194.55 573.39,-203.98 578.21,-198.9\"/>\n",
       "</g>\n",
       "<!-- error -->\n",
       "<g id=\"node8\" class=\"node\">\n",
       "<title>error</title>\n",
       "<ellipse fill=\"none\" stroke=\"black\" cx=\"384.98\" cy=\"-376.43\" rx=\"41.94\" ry=\"37.45\"/>\n",
       "<text text-anchor=\"middle\" x=\"384.98\" y=\"-387.73\" font-family=\"Times,serif\" font-size=\"14.00\">error</text>\n",
       "<text text-anchor=\"middle\" x=\"384.98\" y=\"-372.73\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"384.98\" y=\"-357.73\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
       "</g>\n",
       "<!-- error&#45;&gt;country_effect -->\n",
       "<g id=\"edge7\" class=\"edge\">\n",
       "<title>error&#45;&gt;country_effect</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M403.63,-342.81C409.28,-332.92 415.51,-322.02 421.23,-312.01\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"424.39,-313.54 426.31,-303.12 418.31,-310.07 424.39,-313.54\"/>\n",
       "</g>\n",
       "<!-- tau -->\n",
       "<g id=\"node9\" class=\"node\">\n",
       "<title>tau</title>\n",
       "<ellipse fill=\"none\" stroke=\"black\" cx=\"57.98\" cy=\"-376.43\" rx=\"57.97\" ry=\"37.45\"/>\n",
       "<text text-anchor=\"middle\" x=\"57.98\" y=\"-387.73\" font-family=\"Times,serif\" font-size=\"14.00\">tau</text>\n",
       "<text text-anchor=\"middle\" x=\"57.98\" y=\"-372.73\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"57.98\" y=\"-357.73\" font-family=\"Times,serif\" font-size=\"14.00\">HalfCauchy</text>\n",
       "</g>\n",
       "<!-- tau&#45;&gt;country_effect -->\n",
       "<g id=\"edge6\" class=\"edge\">\n",
       "<title>tau&#45;&gt;country_effect</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M99.6,-350.24C107.81,-346.01 116.51,-342 124.98,-338.95 212.22,-307.57 319.07,-291.03 383.5,-283.28\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"383.94,-286.75 393.47,-282.11 383.13,-279.8 383.94,-286.75\"/>\n",
       "</g>\n",
       "<!-- intercept -->\n",
       "<g id=\"node10\" class=\"node\">\n",
       "<title>intercept</title>\n",
       "<ellipse fill=\"none\" stroke=\"black\" cx=\"178.98\" cy=\"-376.43\" rx=\"45.01\" ry=\"37.45\"/>\n",
       "<text text-anchor=\"middle\" x=\"178.98\" y=\"-387.73\" font-family=\"Times,serif\" font-size=\"14.00\">intercept</text>\n",
       "<text text-anchor=\"middle\" x=\"178.98\" y=\"-372.73\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"178.98\" y=\"-357.73\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
       "</g>\n",
       "<!-- intercept&#45;&gt;country_effect -->\n",
       "<g id=\"edge3\" class=\"edge\">\n",
       "<title>intercept&#45;&gt;country_effect</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M212.03,-350.81C218.75,-346.47 225.92,-342.28 232.98,-338.95 281.54,-316.05 340.52,-299.58 383.26,-289.48\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"384.26,-292.85 393.21,-287.18 382.68,-286.03 384.26,-292.85\"/>\n",
       "</g>\n",
       "<!-- beta -->\n",
       "<g id=\"node11\" class=\"node\">\n",
       "<title>beta</title>\n",
       "<ellipse fill=\"none\" stroke=\"black\" cx=\"283.98\" cy=\"-376.43\" rx=\"41.94\" ry=\"37.45\"/>\n",
       "<text text-anchor=\"middle\" x=\"283.98\" y=\"-387.73\" font-family=\"Times,serif\" font-size=\"14.00\">beta</text>\n",
       "<text text-anchor=\"middle\" x=\"283.98\" y=\"-372.73\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text text-anchor=\"middle\" x=\"283.98\" y=\"-357.73\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
       "</g>\n",
       "<!-- beta&#45;&gt;country_effect -->\n",
       "<g id=\"edge8\" class=\"edge\">\n",
       "<title>beta&#45;&gt;country_effect</title>\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M314.59,-350.62C319.96,-346.58 325.56,-342.55 330.98,-338.95 347.84,-327.79 366.85,-316.68 384.28,-307.03\"/>\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"386.14,-310 393.22,-302.12 382.77,-303.86 386.14,-310\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<graphviz.graphs.Digraph at 0x7f5022839fd0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import arviz as az\n",
    "pm.model_graph.model_to_graphviz(modelStringencyPreEURO2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Main figure\n",
    "Main figure containing one mobility correlation plot and the potential plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from covid19_soccer.plot.utils import get_flag\n",
    "from matplotlib.offsetbox import OffsetImage, AnnotationBbox\n",
    "from covid19_soccer.plot.utils import k_formatter\n",
    "from matplotlib.ticker import PercentFormatter\n",
    "import string\n",
    "colors = ['#a6cee3','#1f78b4','#b2df8a','#33a02c','#fb9a99','#e31a1c','#fdbf6f','#ff7f00','#cab2d6','#6a3d9a','#ffff99','#b15928']\n",
    "\n",
    "def plot_linear_corr(ax, trace, colors):\n",
    "    \"\"\" Simple correlation plot using a pymc3 trace\n",
    "    \"\"\"\n",
    "    # Get datapoints\n",
    "    Y = np.array(trace.constant_data[\"Y\"])\n",
    "    if Y.ndim > 1:\n",
    "        Y = np.median(Y,axis=1)\n",
    "    if \"Y_err\" in trace.constant_data:\n",
    "        Y_err = np.array(trace.constant_data[\"Y_err\"])\n",
    "    else:\n",
    "        Y_err = np.median(trace.posterior[\"sigma\"].values,axis=(0,1))\n",
    "    X = np.array(trace.constant_data[\"X\"])\n",
    "    X_err = np.array(trace.constant_data[\"X_err\"])\n",
    "    \n",
    "    for i,(x,y,x_err,y_err) in enumerate(zip(X,Y,X_err,Y_err)):\n",
    "        # Plot data with error\n",
    "        lines = ax.hlines(\n",
    "            y=y,\n",
    "            xmin=x+x_err,\n",
    "            xmax=x-x_err,\n",
    "            lw=2,\n",
    "            zorder=9+i,\n",
    "            color=colors[i],\n",
    "        )\n",
    "        lines.set_capstyle(\"round\")\n",
    "        lines = ax.vlines(\n",
    "            x=x,\n",
    "            ymin=y+y_err,\n",
    "            ymax=y-y_err,\n",
    "            lw=2,\n",
    "            zorder=9+i,\n",
    "            color=colors[i],\n",
    "        )\n",
    "        lines.set_capstyle(\"round\")\n",
    "\n",
    "        ax.scatter(\n",
    "            x=x,\n",
    "            y=y,\n",
    "            marker=\"o\",\n",
    "            s=10,\n",
    "            c=\"white\",\n",
    "            zorder=10+i,\n",
    "            edgecolor=colors[i],\n",
    "        )\n",
    "\n",
    "    # Plot fit from trace\n",
    "    x_range = np.linspace(ax.get_xlim()[0],ax.get_xlim()[1],3000)\n",
    "\n",
    "    beta = np.array(trace.posterior[\"beta\"][:,:])\n",
    "    beta = beta.reshape(beta.shape[0]*beta.shape[1])\n",
    "\n",
    "    inter = np.array(trace.posterior[\"intercept\"])\n",
    "    inter = inter.reshape(inter.shape[0]*inter.shape[1])\n",
    "\n",
    "    y = inter[np.newaxis,...]+x_range[:,np.newaxis]@beta[np.newaxis,...]\n",
    "\n",
    "    ax.plot(x_range,y.mean(axis=1),color=\"tab:gray\",lw=1)\n",
    "    p = np.percentile(y,[2.5,97.5],axis=1)\n",
    "    ax.fill_between(x_range,p[0],p[1],color=\"tab:gray\",alpha=0.2,zorder=-4)\n",
    "    \n",
    "    ax.set_xlim(x_range[0], x_range[-1])\n",
    "    \n",
    "    return ax\n",
    "\n",
    "\n",
    "from covid19_soccer.plot.other import HandlerPatchImage,PatchImage,MulticolorPatchHandler,MulticolorPatch\n",
    "from matplotlib.patches import Patch, Rectangle\n",
    "def legend(ax,colors,loc=\"center\",mask=None):\n",
    "    # Legend\n",
    "    image_urls = []\n",
    "    iso2 = []\n",
    "    if mask is not None:\n",
    "        loaders = np.array(dls)[mask]\n",
    "    else:\n",
    "        loaders = np.array(dls)\n",
    "    for i, dl in enumerate(loaders):\n",
    "        image_urls.append(get_flag(dl.countries_iso2[0].lower(),\"/tmp/\"))\n",
    "        iso2.append(dl.countries_iso2[0].replace(\"GB-\", \"\"))\n",
    "        \n",
    "    lines = []\n",
    "    for i,color in enumerate(colors):\n",
    "        lines.append(MulticolorPatch(colors=[color]))\n",
    "    leg = ax.legend(\n",
    "        lines,\n",
    "        iso2,\n",
    "        loc=loc,\n",
    "        handler_map={MulticolorPatch:MulticolorPatchHandler()},\n",
    "        frameon=True,\n",
    "    )\n",
    "    for patch in leg.get_patches():\n",
    "        patch.set_height(22)\n",
    "        patch.set_y(-6)\n",
    "        \n",
    "def add_p_val_R_squared(p_val, R_squared_dist, ax, smaller = True, padding=False):\n",
    "    p_val = float(p_val)\n",
    "    \n",
    "    if p_val < 0.001:\n",
    "        p_val_text = f\"$P($slope {'<' if smaller else '>'} 0$) < {0.001}$\"\n",
    "    else:\n",
    "        formatted_num = f\"{p_val:.3f}\" if p_val < 0.02 else f\"{p_val:.2f}\"\n",
    "        if padding:\n",
    "            ax.set_ylim(ax.get_ylim()[0],ax.get_ylim()[1]+(ax.get_ylim()[1]-ax.get_ylim()[0])/6)\n",
    "        p_val_text = f\"$P($slope {'<' if smaller else '>'} 0$) \\simeq {formatted_num}$\"\n",
    "                            \n",
    "    median, lower_CI, upper_CI = np.percentile(R_squared_dist, q = (50, 2.5, 97.5))\n",
    "    R_squared_text = f\"R$^2$ = {median:.2f} (CI: [{lower_CI:.2f}, {upper_CI:.2f}])\"\n",
    "                            \n",
    "    ax.text(x=0.03, y = 1, s=f\"{R_squared_text}\\n{p_val_text}\",\n",
    "        horizontalalignment='left',\n",
    "        verticalalignment='top',\n",
    "        transform=ax.transAxes, fontsize=5, zorder=100)\n",
    "    \n",
    "def calc_R_squared(trace):\n",
    "    \"\"\"\n",
    "    Calc R-squared distribution according to Gelman et al., Amer. Stat., 2019.\n",
    "    \"\"\"\n",
    "    intercept = trace.posterior[\"intercept\"].values[..., None]\n",
    "    error = trace.posterior[\"error\"].values * trace.constant_data[\"X_err\"].values\n",
    "    beta = trace.posterior[\"beta\"].values[...,None]\n",
    "    x_data = trace.constant_data[\"X\"].values\n",
    "    mu = intercept+(x_data+error)*beta\n",
    "    explained_var = np.var(mu, ddof=1, axis=-1)\n",
    "    res_var = trace.posterior[\"tau\"]**2\n",
    "    return explained_var / (res_var+explained_var)\n",
    "\n",
    "\n",
    "    \n",
    "def calc_R_squared(trace):\n",
    "    \"\"\"\n",
    "    Calc R-squared distribution according to Gelman et al., Amer. Stat., 2019.\n",
    "    \"\"\"\n",
    "    intercept = trace.posterior[\"intercept\"].values[..., None]\n",
    "    error = trace.posterior[\"error\"].values * trace.constant_data[\"X_err\"].values\n",
    "    beta = trace.posterior[\"beta\"].values[...,None]\n",
    "    x_data = trace.constant_data[\"X\"].values\n",
    "    \n",
    "    mu = intercept+(x_data+error)*beta\n",
    "    explained_var = np.var(mu, ddof=1, axis=-1)\n",
    "    res_var = trace.posterior[\"tau\"]**2\n",
    "    return explained_var / (res_var+explained_var)\n",
    "    \n",
    "def get_p(trace):\n",
    "    return (trace.posterior[\"beta\"] < 0).sum() / (trace.posterior[\"beta\"].shape[0] * trace.posterior[\"beta\"].shape[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1038x390 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create figure\n",
    "fig, axes = plt.subplots(1, 3, figsize=(COL_WIDTH_1,1.3), gridspec_kw={\"width_ratios\":[1,1,0.05],\"wspace\":0.4})\n",
    "\n",
    "# Model fits\n",
    "plot_linear_corr(axes[1],traceMobilityParksInci,colors)\n",
    "plot_linear_corr(axes[0],traceCombined1,colors)\n",
    "\n",
    "# Calc p values\n",
    "pMob = (traceMobilityParksInci.posterior[\"beta\"] < 0).sum() / (traceMobilityParksInci.posterior[\"beta\"].shape[0] * traceMobilityParksInci.posterior[\"beta\"].shape[1])\n",
    "pPot = (traceCombined1.posterior[\"beta\"] < 0).sum() / (traceCombined1.posterior[\"beta\"].shape[0] * traceCombined1.posterior[\"beta\"].shape[1])\n",
    "\n",
    "R_squared_mob = calc_R_squared(traceMobilityParksInci)\n",
    "R_squared_pot = calc_R_squared(traceCombined1)\n",
    "\n",
    "\n",
    "axes[1].set_xlabel(\"Mobility change from baseline\\nduring the Euro 2020\")\n",
    "#axes[0].set_ylabel(\"Fraction of primary cases\\nrelated to the Euro 2020\")\n",
    "axes[1].yaxis.set_major_formatter(k_formatter)\n",
    "axes[1].xaxis.set_major_formatter(mpl.ticker.PercentFormatter(decimals=0))\n",
    "\n",
    "axes[0].set_xlabel(\"Potential for COVID-19 spread\\n($N_0\\\\cdot R^{T/4}_{{\\\\mathrm{pre}}}}$)\")\n",
    "axes[0].set_ylabel(\"Primary and subsequent cases\\nper mil. inhabitants\")\n",
    "axes[0].yaxis.set_major_formatter(k_formatter)\n",
    "axes[0].xaxis.set_major_formatter(k_formatter)\n",
    "axes[0].set_xlim(0)\n",
    "\n",
    "\n",
    "axes[2].get_xaxis().set_visible(False)\n",
    "axes[2].get_yaxis().set_visible(False)\n",
    "axes[2].axis('off')\n",
    "legend(axes[2],colors)\n",
    "add_p_val_R_squared(pMob, R_squared_mob, axes[1], smaller = True,padding=True)\n",
    "add_p_val_R_squared(pPot, R_squared_pot, axes[0], smaller = True)\n",
    "\n",
    "# Axis labels\n",
    "alphabet_string = list(string.ascii_lowercase)\n",
    "for i in range(2):\n",
    "    letter = alphabet_string[i]\n",
    "    axes[i].text(\n",
    "        -0.015,\n",
    "        1.1,\n",
    "        letter,\n",
    "        transform=axes[i].transAxes,\n",
    "        fontsize=6,\n",
    "        fontweight=\"bold\",\n",
    "        va=\"top\",\n",
    "        ha=\"right\",\n",
    "    )\n",
    "axes[0].set_ylim(-5000,16000)\n",
    "axes[1].set_ylim(-5000,16000)\n",
    "\n",
    "plt.show()\n",
    "fig.savefig(f\"../../figures/correlation.pdf\", **save_kwargs)\n",
    "fig.savefig(f\"../../figures/correlation.png\", **save_kwargs)\n",
    "plt.close(fig=fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SI figures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove SCT ENG plot (SI)\n",
    "mask_no_eng_sct = [c not in [\"England\",\"Scotland\"] for c in countries]\n",
    "n_countries = len(mask_no_eng_sct)\n",
    "potential_model = get_model(X_combined[:,1][mask_no_eng_sct],X_combined_err[:,1][mask_no_eng_sct],Y=primary_and_subsequent_inci_redu[mask_no_eng_sct])\n",
    "potential_trace = pm.sample(8000, tune=2000, cores=4, target_accept=0.9,return_inferencedata=True,model=potential_model)\n",
    "\n",
    "with open(f\"/data.nst/smohr/covid19_soccer_data/correlations/potential_no_GB.pkl\", \"wb\") as f:\n",
    "    pickle.dump((potential_model,potential_trace), f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask_no_eng_sct = [c not in [\"England\",\"Scotland\"] for c in countries]\n",
    "n_countries = len(mask_no_eng_sct)\n",
    "potential_model, potential_trace = load(\"/data.nst/smohr/covid19_soccer_data/correlations/potential_no_GB.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 600x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(2,1.5), gridspec_kw={\"width_ratios\":[1,0.05],\"wspace\":0.4})\n",
    "plot_linear_corr(axes[0], potential_trace, colors)\n",
    "axes[1].get_xaxis().set_visible(False)\n",
    "axes[1].get_yaxis().set_visible(False)\n",
    "axes[1].axis('off')\n",
    "\n",
    "axes[0].set_ylabel(\"Primary and subsequent cases\\nper mil. inhabitants\")\n",
    "axes[0].yaxis.set_major_formatter(k_formatter)\n",
    "\n",
    "axes[0].set_xlabel(\"Potential for COVID-19 spread\\n($N_0\\\\cdot R^{T/4}_{{\\\\mathrm{base}}}}$)\")\n",
    "axes[0].xaxis.set_major_formatter(k_formatter)\n",
    "legend(axes[1],colors, mask=mask_no_eng_sct)\n",
    "\n",
    "pPot = (potential_trace.posterior[\"beta\"] < 0).sum() / (potential_trace.posterior[\"beta\"].shape[0] * potential_trace.posterior[\"beta\"].shape[1])\n",
    "R_squared_pot = calc_R_squared(potential_trace)\n",
    "add_p_val_R_squared(pPot, R_squared_pot, axes[0], smaller = True)\n",
    "\n",
    "plt.show()\n",
    "fig.savefig(f\"../../figures/SI/correlation/potential_no_GB.pdf\", **save_kwargs)\n",
    "fig.savefig(f\"../../figures/SI/correlation/potential_no_GB.png\", **save_kwargs)\n",
    "plt.close(fig=fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 600x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Simple stringency plot (SI)\n",
    "fig, axes = plt.subplots(1, 2, figsize=(2,1.5), gridspec_kw={\"width_ratios\":[1,0.05],\"wspace\":0.4})\n",
    "plot_linear_corr(axes[0], traceStringencyPreEURO2020, colors)\n",
    "axes[1].get_xaxis().set_visible(False)\n",
    "axes[1].get_yaxis().set_visible(False)\n",
    "axes[1].axis('off')\n",
    "\n",
    "axes[0].set_ylabel(\"Primary and subsequent cases\\nper mil. inhabitants\")\n",
    "axes[0].yaxis.set_major_formatter(k_formatter)\n",
    "\n",
    "axes[0].set_xlabel(\"Mean stringency index (OxCGRT)\\ntwo weeks prior to the Euro 2020\")\n",
    "axes[0].xaxis.set_major_formatter(mpl.ticker.PercentFormatter(decimals=0))\n",
    "legend(axes[1],colors)\n",
    "\n",
    "pPot = (traceStringencyPreEURO2020.posterior[\"beta\"] < 0).sum() / (traceStringencyPreEURO2020.posterior[\"beta\"].shape[0] * traceStringencyPreEURO2020.posterior[\"beta\"].shape[1])\n",
    "R_squared_pot = calc_R_squared(traceStringencyPreEURO2020)\n",
    "add_p_val_R_squared(pPot, R_squared_pot, axes[0], smaller = True)\n",
    "\n",
    "plt.show()\n",
    "fig.savefig(f\"../../figures/SI/correlation/stringency_OxCGRT.pdf\", **save_kwargs)\n",
    "fig.savefig(f\"../../figures/SI/correlation/stringency_OxCGRT.png\", **save_kwargs)\n",
    "plt.close(fig=fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAB2cAAASBCAYAAAAAKJX2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAC4jAAAuIwF4pT92AAEAAElEQVR4nOzdeXgTVfs38O+kTdp0p5SWApUdhLKJyA4FBRQQQZRNhLIpmyKiD6KCBR4fFDcWQRGRooKIC4vKLvuPfccCZSlQoBS6t+mSNG3O+0ffjC1N2yRNkxS+n+vKZZw5c849YZrcM2fmHEkIIUBERERERERERERERERERBVK4egAiIiIiIiIiIiIiIiIiIgeBuycJSIiIiIiIiIiIiIiIiKyA3bOEhERERERERERERERERHZATtniYiIiIiIiIiIiIiIiIjsgJ2zRERERERERERERERERER2wM5ZIiIiIiIiIiIiIiIiIiI7YOcsEREREREREREREREREZEdsHOWiIiIiIiIiIiIiIiIiMgO2DlLRERERERERERERERERGQH7JwlIiIiIiIiIiIiIiIiIrIDds4SEREREREREREREREREdkBO2eJiIiIiIiIiIiIiIiIiOyAnbNERERERERERERERERERHbAzlkiIiIiIiIiIiIiIiIiIjtg5ywRERERERERERERERERkR2wc5aIiIiIiIiIiIiIiIiIyA7YOUtEREREREREREREREREZAfsnCUiIiIiIiIiIiIiIiIisgN2zhIRERERERERERERERER2QE7Z4mIiIiIiIiIiIiIiIiI7ICds0REREREREREREREREREdsDOWSIiIiIiIiIiIiIiIiIiO2DnLBERERERERERERERERGRHbBzloiIiIiIiIiIiIiIiIjIDtg5S0RERERERERERERERERkB+ycJSIiIiIiIiIiIiIiIiKyA3bOEhERERERERERERERERHZATtniYiIiIiIiIiIiIiIiIjsgJ2zRERERERERERERERERER2wM5ZIiIiInoo7d27F5IkFXuNGjXK0aEREREREREREdEDip2zRERERERERERERERERER2wM5ZIiIiIiIiIiIiIiIiIiI7YOcsEREREREREREREREREZEdsHOWiIiIiIiIiIiIiIiIiMgO2DlLRERERERERERERERERGQH7JwlIiIiIiIiIiIiIiIiIrIDV0cHQGQLcXFxOHjwIE6fPo0LFy4gNjYW8fHx0Gg00Ol08PT0hK+vLxo0aIDWrVvjhRdeQMeOHR0dNhERETm5zZs3Y9WqVThx4gTi4+Ph6+uLpk2bYsiQIRg7diyUSqWjQyQiIiIno9PpsGHDBuzZswfHjh3D3bt3kZqaCgDw9/dHgwYN0KZNG/To0QM9evSASqVycMREREREZE+SEEI4Ogii8tDpdHB3d7d4uyeeeAKrVq1C06ZNKyAqIiIicnZ79+5F9+7diy0PDw/HggULMGbMGGzcuLHE7Zs1a4bff/8djRo1qsAoiYiIqLIQQuDLL7/EvHnzcO/ePbO2mT17NiIiIio4MiIiIiJyJhzWmCo9a+8vOH78ODp27IiLFy/aOCIiIiKqzLKzs9G3b99SO2YBICoqCt27d8f169ftExgRERE5rezsbPTu3RtvvPGG2R2zgPXXNIiIiIio8mLnLD3U0tPT8fLLLzs6DCIiInIiv/32Gw4fPmxW2Tt37mDUqFG8sEpERPQQMxgMGDp0KLZv3+7oUIiIiIioEuCcs/RA8PT0xGOPPYYnnngCjRs3RvXq1eHp6Qk3Nzfk5uYiOTkZUVFR+OGHHxAbG1tk21OnTmH37t148sknHRQ9ERERORNjR2v79u0xYcIEhISE4MaNG1iyZAlOnz5drPz+/fuxfv16vPDCC/YOlYiIiJzAqlWr8Oeff5pc5+HhgZEjR6Jbt24IDAxEZmYmzp8/j7/++gsHDx60c6RERERE5Aw45yw9EPLz8+Hi4lJmuYSEBAQFBRVbPn36dMyfP78iQiMiIiInVdKcswDQu3dv/Pnnn0XyC51OhyeffBKHDh0qVv7JJ5/Erl27KixWIiIick5CCNSpUwc3b94stq5+/frYvn076tevb3LbY8eOIS4uDs8//3xFh0lEREREToRPztIDwcXFBbm5udixYwc2b96MqKgoXLt2DRkZGcjKyipzqMFTp07ZKVIiIiKqDBYvXlzsxi83Nzd8/vnn6NChQ7HyBw4cgFarhbu7u71CJCIiIidw4sQJkx2zkiTht99+K7FjFgDatm1bkaERERERkZNi5yw9ELZu3YrXXnsN165ds2r7pKQkG0dERERElVVoaCgaNGhgcl379u0RFBSEe/fuFVmu1+tx9uxZtGvXzh4hEhERkZM4cOCAyeVhYWFo1aqVfYMhIiIiokpB4egAiMprw4YN6Nevn9UdswCQnp5uw4iIiIioMmvcuHGp6xs1amRy+f0dtkRERPTgi4+PN7m8ffv2do6EiIiIiCoLds5SpZaVlYWJEyciPz+/XPUYDAYbRURERESVnYeHR6nrPT09TS7XaDQVEQ4RERE5sbS0NJPLfX197RsIEREREVUa7JylSm3btm0mn1JxdXXF3LlzER0dLc85K4RgJywRERGVKTs7u9T1WVlZJpd7e3tXRDhERETkxPz8/Ewu5whdRERERFQSzjlLldqJEydMLp85cyZmzZpVbDmHGyQiIqKyXLp0qdT1ly9fNrk8KCioIsIhIiIiJxYcHGxy+dGjR+0cCRERERFVFnxyliq15ORkk8sff/xxk8s3bNhQkeEQERHRA+D8+fO4evWqyXXHjh0zebOXUqlEy5YtKzo0IiIicjJdunQxuXzv3r04d+6cnaMhIiIiosqAnbNUqXl5eZlcvmfPnmLLLly4gPfff7+iQyIiIqIHwJQpU4rNaZ+bm4u33nrLZPkuXbrA3d3dHqERERGRE2nTpg1CQkKKLRdC4MUXX8T169dL3Pb06dNYv359RYZHRERERE6IwxpTpda8eXOTyxcuXIjs7Gz07t0b7u7u2L9/PxYvXgyNRmPnCImIiKgy2rp1Kzp37oyJEyciJCQEsbGx+PLLL3Hq1CmT5SdOnGjnCImIiMgZSJKEiIgIjBs3rti6K1euoHnz5hg5ciS6deuGwMBAZGZmIjo6Glu2bMGePXsQERGBgQMHOiByIiIiInIUSQghHB0EkbWSk5NRp04dZGZmmlXe29vbZAdt7dq1cePGDRtHR0RERM5s79696N69e7nr6dq1K/bu3QtJkmwQFREREVU2+fn5GDBgAP766y+Lt42IiMDs2bNtHxQREREROS0Oa0yVWtWqVTFnzhyzyioUCvz0008VHBERERFVdn369MGjjz5qVtng4GCsWrWKHbNEREQPMRcXF6xbtw5PP/20o0MhIiIiokqAnbNU6U2bNg3vvfdeqWV8fHywdu1aPPvss3aKioiIiCqratWqYffu3ejWrVup5UJDQ7Fnzx7UrVvXPoERERGR0/Lw8MDWrVuxYMECBAYGmr0db/AiIiIievhwWGN6YBw7dgxffvkl9u3bh3v37sHLywshISF49tln8eqrr+KRRx4BYPrEh8MaExERPXxKGtY4PDwcq1atghACv/76K9asWYPTp08jISEB3t7eCA0NxZAhQzBu3DgolUoHRE5ERETOTKfTYf369dizZw+OHTuGu3fvIjU1FQBQpUoV1KtXD23atMHTTz+Nnj17QqVSOThiIiIiIrInds4SEREREREREREREREREdkBhzUmIiIiIiIiIiIiIiIiIrIDds4SEREREREREREREREREdkBO2eJiIiIiIiIiIiIiIiIiOyAnbNERERERERERERERERERHbAzlkiIiIiIiIiIiIiIiIiIjtg5ywRERERERERERERERERkR2wc5aIiIiIiIiIiIiIiIiIyA7YOUtEREREREREREREREREZAfsnCUiIiIiIiIiIiIiIiIisgN2zhIRERERERERUZny8/Oxe/duzJgxA2FhYQgKCoJKpYKPjw9CQ0MxceJEnDlzxuz6rl27hilTpqBhw4bw8PBA1apV0bFjR3z55ZfQ6/WlbpuWloY33ngDISEhcHNzQ4MGDTB37lzodLpSt8vMzMQjjzwCV1dXi2IlIiIiIrIVSQghHB0EERERERERERE5t9atW+P06dOllpEkCf/5z3/w8ccfQ5KkEstt2LABI0aMQFZWlsn1rVq1wvbt2xEYGFhsXXZ2Njp06IBz584VW9enTx/89ddfJbb91ltv4YsvvsCbb76JL774otR9ISIiIiKqCHxyloiIiIiIiIiIypSRkQFJkvDkk09i2bJlOHfuHJKSkhAbG4vIyEiEhIRACIFPPvkEs2fPLrGeU6dO4aWXXkJWVhYCAwOxevVq3LlzBzExMZg7d678VGv//v1hMBiKbT9//nycO3cOfn5++P3333H79m188803UKlU2LJlC3744QeT7Z47dw6LFy9GrVq1MHfuXFt9LEREREREFuGTs0T/n1arRUxMjPz/9evXh7u7uwMjIiIiosqCeQQRET0M3nnnHYwaNQpNmjQxuT4+Ph6PP/444uPjoVKpcPPmTQQFBRUr161bN+zbtw8qlQonTpxA8+bNi6xfvnw5xo8fDwCIjIzEqFGjiqyvW7cubty4gaVLl2LSpEny8mnTpmHBggXo3r07du/eXWQbIQQ6deqEw4cP4/fff8fAgQOt+QhsjjkEERER0cOHnbNE/9/58+fRrFkz+f+joqIQGhrqwIiIiIiosmAeQUREVODzzz/H22+/DQD44YcfMGLEiCLrz507h5YtWwIAxo8fj2XLlpms59FHH8WlS5fQunVrnDx5Ul6ekZEBX19fAMDNmzcREhIir9u/fz/CwsLg7++P5OTkIvV98803mDBhAvr27Yu//vqr/DtqI8whiIiIiB4+HNaYiIiIiIiIiIhsonBHY1xcXLH1mzZtkt8PHTq0xHqGDBkCoGAI5Fu3bsnLMzIy5Pf3z0drfEq3cBkASEhIwLvvvgsPDw8sWbLEnN0gIiIiIqow7JwlIiIiIiIiIiKbuHfvnvzex8en2PoTJ04AABQKBdq1a1diPR07dpTfF35ytnCdSUlJRbZJTEw02e5bb72F1NRUfPDBB6hTp44Ze0FEREREVHHYOUvkhG7fvo0FCxagR48eCAkJgUqlQs2aNfHSSy8hKirK0eERERGRE2MeQUREjvTLL7/I7zt16lRsfXR0NACgRo0aUKvVJdZTr149+f3Fixfl9z4+PqhduzYAYNu2bUW22bJlCwCgRYsW8rI9e/Zg9erVaNasGaZNm2bJrlgsISEB58+ft+h19erVCo3JEswhiIiIiOzD1dEBEFFxS5Yswfz589GwYUP07t0b/v7+iIqKws8//4z169dj69at6N69u6PDJCIiIifEPIKIiBxl586d2Lx5MwCgS5cu8tyyhRmfbjUOQVySwuvvf0J2+PDhmDdvHt577z3Url0bbdu2xdatW7Fo0SIAwMsvvwwAyM3NxcSJEyFJEr7++msolUrrd84MX331FebMmVOhbVQk5hBERERE9sHOWSIn1LZtW+zfvx9dunQpsvzXX3/F4MGDMWnSpCJ3DhMREREZMY8gIiJHuH37NkaMGAEAcHNzw5dffmmyXGZmJgDA3d291PoKP1Vr3MZoxowZ2LBhAy5evIiePXsWWdejRw+MHj0aADB//nxcunQJY8aMQefOnQEAOp0Oa9aswZEjR5Cfn4+WLVti1KhRJodgftgwhyAiIiKyj0rXOZuQkABfX1+4ubk5OhSiCjNw4ECTywcNGoRGjRohOjoaSUlJCAgIsHNkRERE5OyYRxARkb1pNBr0799fnm920aJFJp+aLUySJKvXe3t748CBA4iIiMCGDRuQmJiIkJAQDB8+HO+99x4UCgViYmIwb948BAQE4JNPPgEAxMXFoUePHvLQykbz58/Hzp070bRpU3N294HFHIKIiIjIPpxmztnU1FT88ccf8vA391u6dCmqVauG4OBgeHt7Y+jQoUhJSbFzlESlW7VqFSRJMvny9vZGo0aNMHz4cGzdutXqNlQqFQDA1bXS3Vsh27dvH4YMGYKQkBC4ubkhODgYzz77LP744w+naefGjRsl/lve//rtt9/KHWtaWhqCgoKgUChw9uxZs8ovXboUAwYMQL169eDj4wM3NzcEBQWhS5cueOedd3Dq1CmT2xY+Tvfu3Vvu2EsyatQok59XaSrDsWHvWB0dS0pKClasWIEJEyagXbt2qF27Nry8vODu7o6aNWuib9++WLlyJfR6vdl1njhxApMnT0aTJk3g4+MDLy8vNGjQAM899xw+//xzZGRkFNtm48aNJo+nVatWFSs7ZswYSJKEGTNmlGfXieyOeYR5KtNvxf0MBgM6deok/7vWqVPHJrEyjyhQmY4N5hHm5xG2qIN5RMXSarV47rnn5O+NiIgIjB8/vsTyXl5eAICcnJxS6y283rhNYVWrVsWSJUsQFxeH3NxcxMTEYO7cufITuZMnT4ZWq8Wnn36KqlWrAgDCw8MRHR2N3r1749q1a4iLi8Po0aNx584dvPjii8jPz7ds5+8zadIkREVFWfTauHFjudoEmEOYq6K/e69du4ZffvkF//nPf9C9e3f4+PiU+n1TmszMTCxYsADdunVDtWrVoFQq4e3tjdDQUIwfPx4nT560SczMIQowh7COPWOx5jpCfn4+du/ejRkzZiAsLAxBQUFQqVTw8fFBaGgoJk6ciDNnzpTaLnMIIqowwkksXbpUKBQK0bdv32Lrfv75ZyFJUpGXQqEQ7du3FwaDwQHR0oMoKipKAJBfUVFRFtcRGRlZpI7SXgMHDhQ6nc6i+k+cOCEAiDZt2lgcm7N49913hSRJJX4uI0aMEPn5+Q5v5/r162b/W/7666/ljve1114TAMSgQYPKLPvZZ58JPz8/s2ILCwsTFy5cKLJ94eN0z5495Y69JOHh4SZjKkllOTbsGau99qc0W7duNetYa9q0qYiJiSm1Lr1eLyZOnFhqvADE6dOni227YcMGk2UjIyOLlb127ZpQKpXCzc1NXL9+3ep9J7IE8wj7qEy/FaYsWrSoSD21a9cud6xCMI8QonIdG8wjLMsjbFEH84iKo9PpRO/eveXPdPr06WVu07BhQwFAhISElFruypUrcr3/+9//LIrr559/FgBE165d5WX//POPACA8PT1FSkqKvFyv14tatWoJAOKvv/6yqB1bYA5hH/b47i3tczf1fVOSc+fOiZCQkFLrkyRJvPvuu+WKVwjmEEIwh3Dk/pijPNcRHnvssTKPVUmSxPTp00vsY2AOQUQVxWk6ZwcMGCAUCoX47rvviq1r3LixkCRJhISEiIiICPHSSy/JHbSrV692QLT0ILL1CdGWLVuERqMRGo1GpKeni7Nnz4ovvvhC+Pr6ymXefPNNs+vWaDQiNDRUSJIkdu3aZXFszmDp0qXyvrdp00b8/fffIiEhQZw+fVq89NJLFp3QV3Q7hTtnly1bJv9bmnrl5eWVK96rV68KpVIpFAqFOH/+fInl9Hq9GDJkiByXj4+P+M9//iP27NkjYmNjRXJysrh48aJYs2aNeOGFF4RCoRAAxIIFC4rUY+8Tos6dOxf5vEypTMeGvWK11/6UZefOnaJz585izpw54q+//hJnz54VCQkJ4saNG2L37t1i+PDh8klSw4YNRXZ2tsl68vPzxcCBA+WYhgwZInbs2CHi4uJEUlKSOH36tPjiiy9E69atxZkzZ4ptn5eXJx9D58+fL/Mix/jx4wUAMXjwYKv3ncgSzCMqXmX6rTDl+vXrwtPTUyiVSvmCqy06Z5lHVK5jg3mE5XmELepgHlEx9Hq96N+/v/x5Tp061azt+vXrJwAIFxcXkZOTU2K57du3y3WvX7/e7LjS09NFcHCwUCqVRb4Xly1bJgCIHj16FNtmzJgxAoB47733zG7HVphDVDx7ffca6/H39xc9e/YUgwcPLvP75n4ajUbOE1xcXMTrr78ujh8/LhISEkR0dLRYvny5fDMBALFy5Uqr42UOwRzCkftjjvJeR6hfv76QJEk8+eSTYtmyZeLcuXMiKSlJxMbGisjIyCI3QXzwwQcmY2AOQUQVxWk6Zx999FGhUCjEuXPniiw/ffq0kCRJuLq6iitXrsjLX3nlFSFJkujXr5+9Q6UHlK1PiEpKNA8fPixfPHBzcysxQSxMp9OJZ555RgAQc+bMsTguZ5CSkiLfYdmwYUORmZlZrMywYcMEgGJ/745op3DnrCV3uFrDeCHgmWeeKbXctGnT5Jg6d+4sEhISSi1//vx50bFjR4efEIWFhZVarjIdG/aK1RzOFMu8efPkY+r77783WWbhwoU2uYAghHl/nxcvXpTL3H/HNlFFYB5RsSrTb0VJevToIQCImTNnirCwMAHYpnOWeUTlOTac6bfbmWIxJ4+wZR3MI2wjLy9PDBo0SP6cJk2aZPa2c+bMkbfbt29fieUiIiLkcrGxsWbXb3wS8P6nCj/88EMBQAwdOrTYNjNmzBAAxCuvvGJ2O7bCHKJi2fP7bt26dUWe4N+zZ4/F1xVWrFghb/PRRx+ZLHPp0iXh6ekpAIhWrVpZHS9zCOYQ1rBnLOW9jjB9+vRSf8fv3LkjgoODBQChUqnE3bt3S62POQQR2ZLTdM4GBAQIhUIhkpKSiixfsGCBfIdLYUeOHJGfpiWyBXudEAnx78U5AGXeearX68WAAQMEAPHWW29ZHJOzKDyM39q1a02WuXXrlnBxcREAxLRp0xzajr06Z+/duyfc3NwEALFmzZoSyx05ckSOp1GjRiIrK8us+nNzc8WlS5eKLHO2E6LKdGzYK1ZzOFMsSUlJciyvv/56sfXp6enCy8tLABAjR44sd3vm/n22adNGABBTpkwpd5tEZWEeUbEq02+FKcYLrY0aNRJardZmnbPMIyrXseFMv93OFEtZeYSt62AeUX75+fli+PDh8uc4btw4i6acOnv2rLzthAkTSizXpEkTAUC0bt3a7LpPnDghFAqFqFu3brGnqD///HMBoNj1JSGEGD16tMP+vZlDVCxHft9Z0zk7efJkeZs7d+6UWK5nz54CgHB3d7cqNuYQzCGsZa9YbH0doSSfffaZvD8//PBDqWWZQxCRLSngJNLT0wGg2ATtBw8ehCRJ6NGjR5HlderUAQAkJibaLIasrCzcu3cP9+7dQ1ZWls3qJbpfkyZN5PcJCQkllsvLy8OwYcOwceNGvP766/jss8/sEV6F2LRpEwDAzc0Nzz//vMkytWrVQqdOnQAAGzdudOp2bGXNmjXQ6XTw9vbGgAEDSiz38ccfy+8XL14MDw8Ps+pXKpVo1KhRecOsUJXp2HCm48uZYlGpVPJ7Nze3YuvXrFmDzMxMAMBbb71VYXHcb+TIkQCAH374AdnZ2XZrl6iiMY9w7t+K+8XHx+Ptt9+GJElYvny5ye9JazGPqFzHhjP9djtTLGXlEfaq437MI0wTQuDVV1/FmjVrAADh4eFYvnx5sWs5pWnRogW6du0KAIiMjMT58+eLlVmxYgUuXrwIAHjttdfMqtdgMGD8+PEwGAxYunQp1Gp1kfWhoaEAgMOHDyMpKUlertfrsX379iJlHlTMIZz/GoG7u7v8XqEo+bKtcV1gYKBV7TCHYA5hLXvFYq/rCM2aNZPfx8XF2aRO5hBEZA6n6Zz18vICANy9e7fI8gMHDgAA2rdvX2S5Uqks8l9LGQwGbN68Ga+88gpat24NT09P+Pj4oEaNGqhRowZ8fHzg4eGBxx57DK+88go2b96M/Px8q9oiup8QQn5fpUoVk2Xy8/MxYsQI/Pbbb5gwYQIWL15sr/AqxIkTJwAArVu3LvWCSceOHQEA165dQ1pamlO1k5uba3E8ZdmwYQMAICwsrMSTnOzsbGzevBlAwY0pvXr1snkc96tTpw4kSZJvhKlIlenYsFes5nCmWNauXSu/b9u2bbH1xuM3ODgYLVq0kJcLIZCXl1chMQFAnz59AABpaWnYtm1bhbVDZG/MI5z7t+J+EydORFpaGsaMGYOwsDCLYyoN84jKdWw402+3M8VSVh5hrzruxzzCtKlTp+K7774DAAwYMACLFy9GVlYWMjMzTb5KOodasGAB3N3dodPp8NRTT+Gnn37C3bt3cf36dfzvf//DxIkTARRcCwoPDzcrtqVLl+LkyZN48cUX0bt372Lru3fvjurVqyMnJweDBg3CP//8gytXrmDkyJG4c+cO1Go1Bg4caOUnUzkwh3Ds9505Hn/8cfl94e+2wmJjY3Ho0CEA/35XWYo5BHMIa9krFntdR7h375783sfHxyZ1MocgInM4Tees8W6qLVu2yMv27duHhIQEuLq6ol27dkXKGztxg4KCLG5r69ataNq0KZ577jmsXLkSZ86cQU5ODkTBMM/yS6vV4uzZs1i5ciWee+45hIaG8guVbMJ4B7AkSWjatGmx9QaDAaNGjcLPP/+MsWPH4quvvrJJu0KIEk+azX1Zc8dXfHw8MjIyAAD169cvtWy9evXk98bPydHtfPTRR/D394ebmxuUSiUaNGiAcePG4cyZMxbFdz+tVotjx44BKH4DSmFHjhyBXq8HAHTt2tWiu9KdXWU6NuwVqzmcIZb09HScPXsWb7/9tvw0Q4cOHfDCCy8UK3v8+HEA/z6JEBkZiXbt2kGtVkOpVCIwMBCDBg2SLzDYSv369VGtWjUAwN69e21aN5EjMY8omaN/K+63bt06bNq0CUFBQfj0008tiqcszCMq17HhDL/dzhSLJXlERdZRGuYRphXuqNu4cSN8fX3h7e1d4mvevHkm62ndujV++ukneHp64t69exg+fDiCg4NRr149zJw5E3l5eWjVqhU2bdpU6tODRvHx8Zg5cya8vb2xaNEik2VUKhWWL18OV1dX7N27Fy1atECjRo3w888/AwAWLlyIgIAAKz6VyoM5RMkq+rvXXIMHD0bz5s0BAO+88w5mzZqFy5cvIycnB3fu3MG6devQo0cPaDQaNGnSBP/9738tboM5BHMIa9kzFntdR/jll1/k98anfcuLOQQRmcPV0QEY9enTB8eOHcPs2bPh5uaGmjVrYsaMGZAkCT179ix2F9epU6cAAI888ohF7Xz99dd4/fXX5Q5YNzc3PPbYY6hXrx6CgoKgVqshSRJycnJw7949XLt2DadOnYJOp8Ply5fx7LPPYunSpRg/frzN9p0eLocPH8bu3bsBAM8//zxCQkKKlZkzZw5Wr14NPz8/1KhRA3PmzClWZurUqfDz87Oo7djYWNStW9equI1q166NGzduWLRN4eHHy7qhovD6wkNNObKdy5cvy+/z8vIQExODmJgYrFy5Eu+88w7mzZtn1UnKkSNHoNPpAKDYDSiFXbt2TX5v6gS6MqtMx4a9YjWHo2L5+OOP8e677xZbrlKpMGrUKHz55ZfFLp5ptVp5yDRfX18MGjQIv/32W5EyiYmJ+O233/Dbb78hIiICs2fPLlechbVv3x5//vknT4jogcE8wrl/KwpLTk7G66+/DgBYtGhRiU8oWYt5ROU6NphHWJdHVEQdlmAeUbGef/55nDt3DgsWLMC2bdtw+/ZtqNVqNG7cGMOGDcPEiRPNHi1t6tSpyMjIwMKFC1GjRo0Sy/Xr1w+7du3C3LlzcfToUeTn56NVq1aYMWMGnnvuOVvtmlNiDuHY715zubi4YNeuXRg+fDh27tyJDz/8EB9++GGRMjVq1MB7772HGTNmwNvb2+I2mEMwh7CWvWKx13WEnTt3yk/odunSBS1btrS4jpIwhyCisjhN5+yUKVOwbNky3L17F1OnTgVQcGedi4sL3n///WLl//rrL0iSZNEdLWfPnsXUqVNhMBjQoEEDzJ07F88//3yZc9Lk5uZiw4YNiIiIwOXLl/HGG2+gQ4cORYZUILpfTk6OPDeCwWBAbGwsdu3ahdmzZ0MIgVatWmH58uUmt42NjQVQMPxFSXdBjho1yuITIkcxfg5A0flTTCk8L1Dh7ezdjkKhQI8ePTBkyBA88cQTqFWrFry8vHDr1i1s3rwZ8+bNQ0JCAj7++GOoVCqTJ61liYqKkt+XdsdhcnKy/N5e/+aWnvRaqzIdG/aK1RzOFAsA9O/fH6+++qo8RUFhhYcv+vPPP5Gbm4u2bdti/vz5aNeuHXQ6HbZt24a3334bcXFxmDNnDurUqYNRo0bZJLYGDRoAAC5cuAAhxAN1tzc92JhH/Ksy/VYU9sYbbyAxMRF9+/bFkCFDLIrFHMwjKtex4Uy/3c4UC1B6HmHPOkxhHlFc4WFxbaFevXr48ssvy13PunXrsG7dOrPKdu3aFX///Xe523RWzCH+5Wzfd+aqVq0a1qxZg/feew8rVqwotj4tLQ13795Fenq6VZ2zzCGYQ1jLXrHY4zrC7du3MWLECAAF8+fa4reoMOYQRFQWpxnW2M/PD3v27EGXLl3kp1rr1KmD9evXo0OHDkXKJicn448//gAAPPnkk2a3sXjxYuj1ejzxxBM4c+YMhg4dWmbHLFBwF+6QIUNw+vRptGnTBnq9vtLPuUEVr0+fPvJQTr6+vmjRogXefPNNpKen44MPPsDRo0dRtWpVk9uuWrWq2DDb97+smX+jTp06ZdZb1qu8iXJZyYitkpXytvPII49g586dGDduHFq2bImqVavCzc0NDRo0wBtvvIEzZ87Id/5+9NFHRe4oNVfhOw5LOhYeJpXl2LBVHbZiz1jeeustaDQaaDQa3L17F3v37sXYsWPx22+/oWPHjpgxYwYMBkORbQr/f25uLpo1a4a9e/eiW7duUKvV8PPzw9ChQ7Fnzx54enoCAN577z2bzfHs7+8PoGDurJSUFJvUSWQPzCNMqyy/FZs3b8aaNWvg5eVlsyEh78c8oqjKcmzYqg5bcfY8oiLqsATzCKqMmEOY5kzfvWX56aefULt2baxcuRJTp07F6dOnkZKSghs3bmDFihXw8/PDypUr0aFDB0RHR1tcP3OIophDWKciY6no6wgajQb9+/eX55tdtGiRTZ+aBZhDEFHZnKZzFgAaN26Mffv2IT09HSkpKbh27Rr69etnsuzWrVuxe/dudO7c2ez69+zZA0mS8PHHH5c42X1p1Go15s+fDyGEPBQMkTU++eQT7Nq1y9Fh2E3hO9hzcnJKLVt4vaV3vturHQAIDg6Wb9LQ6/VF5qgwl/GEyNXVFT4+PiWWK3yyVPjuwQdBZTo27Hl8lcVRsSiVSnh5ecHLywtBQUEICwvDihUrsHr1agDA/Pnzi928dP+d3DNnzixyB61Rw4YN5btc4+Pjcfjw4XLFalT478c4LBJRZcc8omSO/q0AgIyMDEyYMAEA8OGHH1o8DYu5mEdUrmODeYR1eURF1GEJ5hH0oGEOUbKK/u411/r16zF8+HDk5OTg66+/xoIFC9CqVStUqVIFtWvXxtixY3HkyBFUrVoVt2/fRnh4uMVtMIdgDmEte8VSkdcRtFotnnvuOXnKxIiIiAqZvpA5BBGVxak6Z428vb1LHS6jatWqCAsLQ1hYGFxdzR+ZOT4+HgDKNRyxcdu7d+9aXQc9HPbs2SPf4ZmdnY1//vkHb7zxBiRJglarxeDBgxETE2PXmIQQyMzMLNcrOzvb4nYDAgLk92UlJMa71gDL7+C0VztGzzzzjDyMizGps4S5dxEWnpvn4sWLFrfjzCrTsWHv46s0zhQLALz00kvo0qULAOCLL74oss7Ly6vIcEdhYWEl1tO1a1f5/T///GOT2AoPvedMd8MTlYV5xL8q028FAMyePRu3b9/GE088Ic85WxGYR1SuY8OZfrudKRag9DzCnnWYwjyCKiPmEP9ytu87c0RERAAo+P1+5ZVXTJYJCQnBa6+9BgA4duxYkWGKzcEcgjmEtewVS0VdR8jNzcXAgQPleWCnT59u1Vy15mAOQURlccrO2YpivBvszp07Vtdh3NaaOR3o4aVWq9GsWTMsXLgQn3zyCYCC+RYmTZpk1zhiY2Pl4Y2sfTVt2tTidmvUqCH//ZV1Elh4eOAmTZo4ZTtGrq6u8jAl1txFWq1aNQBAXl4e0tPTSyzXoUMHKJVKAMD+/fttPs+TI1WmY8Pex1dpnCkWo/bt2wMAbt26haSkJHm5JEl49NFH5f+vUqVKiXUY/56AgifPbKHw8EHGvzmiyoZ5ROX5rSi87vjx43BxcYEkScVe+/btA1DwmRqXdevWzaJ4mUdUrmPDmX67nSkWo5LyCHvXcT/mEVTZMYdwvu+70qSlpckdrW3atCm1Q+eJJ56Q358/f96idphDMIewlr1iqYjrCHl5eRg8eDC2bt0KAJg6dSrmz59vUVyWYA5BRGVxys7ZhIQELF26FOHh4ejTpw+eeuqpIus1Gg0uXLiAK1euWFRv8+bNAQCffvqp1bEZk1ljXUSWeuutt+R5lHfs2PHQDCn0+OOPAyh4wlSn05VY7tChQwCAevXqlZp8ObodoOCOu+TkZAClJ4olCQwMlN+XNv+Eh4cHevfuDQC4fv06du7caXFbzqwyHRv2PL7K4kyxAAUnOiVp27at/N74N2NK4QuppY2gYQljey4uLkVO2ogqK+YRzv9bYS/MIwpUpmPDmY4vZ4oFKD2PsGcd92MeQQ8S5hDO8X1XmsLDwFoyn6dCYdnlXeYQBZhDWMdesdjyOkJ+fj5eeuklbNq0CQAwadIkLFiwwOKYLMEcgojK4nSds/PmzUPdunUxZcoUrF69Gtu2bZOHGjDKzMzEY489hqZNm+LmzZtm1z1y5EgIIbBmzRqMHDnSoido4+PjER4ejjVr1kCSJKvmdCACChLozz77TP5/45A19lCnTh15eCNrXzdu3LCq7QEDBgAomNth48aNJsvExcXh//7v/4qUd9Z2AGDLli1yItq6dWuLt2/WrJn8/urVq6WWnTFjhvz+9ddfN3tIp7y8PFy+fNni2OypMh0b9jy+yuJMsQCQnwLz8/MrNmTRwIED5fd79uwpsY7Cv/fW/E2ZYvzbCg0N5VBC9EBgHuH8vxULFizA6dOnS30ZL2oFBwfLy1asWGFRrMwjClSmY8OZfrudKRag9DzCnnXcj3kEPUiYQzjH911pAgICoFKpAAAnT54s9UnV48ePy+9r165tUTvMIQowh7COvWKx1XUEg8GA8PBw/PrrrwCAcePGYcmSJVbFZAnmEERUJuFEpk6dKhQKhZAkSXh5eYk2bdoISZKEQqEoVnbAgAFCoVCIL774wqI2evToIdepVCpF9+7dxfvvvy9WrlwpNm/eLHbt2iV2794tNm/eLCIjI8XMmTPFU089JVQqlRxbr169bLXL5ESioqIEAPkVFRVlcR2RkZHy9nv27Cm17LPPPiuX3bFjh5VRVx4pKSnCz89PABCNGjUSWVlZxcoMHz5cABCurq7i8uXLDm3n5s2bpbYTGxsrHnnkEQFAqFQqcf36dYtj1Wq1wt3dXQAQ//3vf8ss/8Ybb8jHTJcuXURiYmKp5aOjo0Xnzp3FggULiiy35Dgtj/DwcAFAhIWFlVquMh0b9orVHPaK5cKFC2WWWbRokXxMjRs3rtj6vLw80axZMwFANG7cWGRkZBQrExUVJdRqtQAgGjRoIPLy8kps7/r163J7kZGRpcYWEBAgAIgpU6aUuR9E5cE8omJVpt8Kc4SFhQkAonbt2lZtLwTzCKPKdGwwjzCtrDzCFnUUxjyCnA1ziIrlyO/ePXv2mP19Y9SrVy95mxUrVpgsc/v2bfn7KTAwsNRzJ1OYQxRgDmEde8Vii+sIBoNBjB07Vj7uwsPDhcFgsCoeIZhDEJFtOU3n7P79++VO03feeUdkZ2cLjUZTYufsd999JyRJEs8995xF7WRnZ4tBgwYJSZLkus15GcsPHjxYZGdn22q3yYnY+4To7NmzQpIkAUB06tTJyqgrl6VLl8qfzxNPPCF2794tEhMTxdmzZ+XEDYCYPn16iXUUToTCw8MrrJ2qVauK/v37i5UrV4qzZ8+KhIQEkZKSIs6ePSs++ugj4e/vL9fz4YcfWv2ZdO/eXQAQffv2LbNsbm6ueOGFF+R2fXx8xPTp08XevXvFrVu3REpKioiOjhZr164VQ4YMES4uLgKAVSdEtWvXLvdFY3NPiISoXMeGLeoQwjafcXljMeczq1OnjggLCxNffvmlOHr0qIiPjxdpaWnixo0bYuPGjaJ///5yHdWrVxfx8fEm69m3b59QKpUCgGjZsqX466+/REJCgrh9+7ZYsWKFqFatmgAgFAqF2LJlS6n7be4J0ZUrV+Ryv//+e6l1EpUX84iKV5l+K8pii85ZIZhHGFWmY4N5hOV5hK1yEVNxM48gZ8AcouLZ63fi6tWr4vDhw/KrcLszZ84ssu78+fMm6zh48KD8G+zi4iKmTZsmzpw5I1JTU0VsbKxYuXKlqFWrllzv119/bdVnwhyiAHMI69gjhxCi/NcRpkyZIrczYMAAkZ6eLjQaTYkvnU5X6n4zhyAiW3KaztmhQ4cKSZLEiBEj5GWZmZklds6eOXNGSJIk6tevb1V7e/bsEQMHDhSenp5yx2tJL09PTzFw4MAKvauLHM/eJ0RCCDFs2DC5/M6dO62IuvKZMWOGfCJo6jVixAiRn59f4vbmJnDlbcfX17fEbY0vpVJZro5ZIYRYtmyZACC8vLxM3m14P4PBID7++GOz4gMgevbsWewuRWc8IRKi8hwbtqrDFp9xeWMx5zMzxlnWq3Xr1uLSpUulxrp27Vrh4eFRYh1ubm5i1apVZe6zuSdExqdofH19zfr7IioP5hH2UZl+K0pjq85Z5hH/qkzHBvMIy/IIW+Yi98fNPIKcAXMI+7DH74Txt8ucV2m/b2vWrBGenp6lbq9QKMSsWbOs/jyYQ/yLOYR1KjqHMCrPdQRz/x6Nr4iIiFJjYQ5BRLbkNJ2zISEhQqFQiGPHjsnLSuucTUhIkDtOy0Or1YrTp0+LtWvXisWLF4t58+aJefPmicWLF4uffvpJnDp1Smi12nK1QZWDI06Irly5IlxdXQUA0blzZyuirpz27t0rBg0aJGrWrClUKpUICgoSffv2FRs3bixzW0sSuPK0s379ejFt2jTRuXNnUadOHeHt7S2USqUICAgQHTt2FO+99564du2aubtcIo1GI7y9vQUA8eOPP5q9XUpKivjyyy9Fv379RJ06dYSXl5dQKpUiMDBQdO7cWbzzzjvi7NmzJrd11hMiISrHsWGLOrRarXxyMWzYMLPbtHUs5nxmp06dEp999pl47rnnxKOPPir8/f2Fi4uL8PHxEU2bNhUjRowQmzZtMnsorZiYGDFlyhTRqFEj4eHhITw8PESTJk3ElClTzP6bMveEqE2bNgLgMEJkH8wj7Kcy/VaUxFads8wjiqpMxwbzCPPzCFvnIswjyNkwh7Cfiv6dsFXnrBAFUy29//77ol27dqJKlSrCxcVFeHl5idDQUDFx4kRx+vRpyz+AQphDFMUcwjoVmUMUZu11BEd1zjKHICJzSEKUMru8Hbm7u0Ov1yM5ORl+fn4AgKysLHh7e0OSJOTn5xcpn5aWBn9/fyiVSuh0OgdETA+a8+fPo1mzZvL/R0VFITQ01IER0cNi8uTJ+Oqrr9CrVy9s377d0eHYzKhRo/D9998jLCwMe/fudXQ4TmXnzp3o1asXVCoVoqOjUbduXUeHVKncuHFD/swiIyMxatSoYmWio6PRpEkTAMCFCxfk90QVhXkEOQrziIcP84jyYR5BzoY5BDkKc4iHD3OI8mEOQUS2pHB0AEYeHh4AAK1Wa1b5u3fvAgCqVKlSYTEREdnD9OnT4e7ujr///hvnz593dDhkB9u2bQNQcDLMk6GKsWDBAgDA4MGDeTJERA805hEPH+YRFY95BBE9DJhDPHyYQ1Q85hBEZC6n6Zw1/iCcPHnSrPJ79uwBAH7JEVGlV7t2bUybNg0GgwERERGODsfm9u3bB0mS5BcB27dvh5+fH2bOnOnoUCqNjRs3ysdQWSeR169fR2RkJNzc3DB//nw7RUhE5BjMIx4+zCMsxzyCiKg45hAPH+YQlmMOQUQVxWk6Z3v27AkhBL788ssyy2ZlZeHzzz+HJEl45pln7BAdEVHFevfdd1G9enWsX78eZ8+edXQ4VMGioqKQmpoKf39/R4fyQJo7dy70ej2mTp2KOnXqODocIqIKxzzi4cI8omIxjyCihwlziIcLc4iKxRyCiCzhNHPOxsXFoWHDhtDpdHjttdfw2WefITc3t9ics7du3cLIkSOxb98+eHt748aNGxYPbZyYmIh58+bhr7/+QlxcHHx8fNCpUydMmTIFYWFhpW5rnAdXoVAgLy/P6v0l58N5XohsS6fTQa/XF1vu5eXlgGiossvPz0dOTk6x5e7u7nB1dXVARERFMY8gsi3mEWRLzCPImTGHILIt5hBkS8whiKiiOM03SM2aNbFkyRKMGzcOS5Yswc8//4yuXbvK61955RVcvXoVhw8fhl6vhyRJ+OabbyzumI2KikKPHj2QmJgIABBCQKvVYuPGjdi4cSOGDRuGZcuWlfmD7SR92kRETsvNzQ1ubm6ODoMeEC4uLjyZJiJ6iDCPIFtiHkFE9PBgDkG2xByCiCqK0wxrDABjxozBqlWr4OHhgcTERKxfv16eE2DlypXYv38/cnNz4e7ujsjISAwdOtSi+rVaLQYOHIiEhAQIIeDn54f27dujbt26EEJACIG1a9eibdu2iIuLq4hdJCIiIiIiIiIiIiIiIqKHlFN1zgLAyJEjcf36dcydOxedOnVC1apV4eLiAj8/Pzz++ON4//33ERMTg5EjR1pc9/fff4+rV69CkiTMnj0b9+7dw6FDhxATE4Njx46hU6dOEELg0qVL6NKlC65fv14Be0hEREREREREREREREREDyOnGda4sICAAMycORMzZ860ab0bNmyAJEkIDw/HBx98UGRdmzZtcODAAcycORPz5s1DbGwswsLCsHv3bjRo0MCmcRARERERERERERERERHRw8fpnpytSGfPngUATJo0qcQyH374IX744Qe4uLggLi4OYWFhiI6OtleIRERERERERERERERERPSAqnSdswkJCdDpdFZtm5KSAgBlPgn78ssvY/369VCpVIiPj0dYWBiioqKsapOIiIiIiIiIiIiIiIiICHCiztnU1FT88ccf2Lx5s8n1S5cuRbVq1RAcHAxvb28MHTpU7mw1l0qlAgBkZWWVWfbZZ5/Fn3/+CQ8PDyQmJqJ79+7yk7dEREREld21a9fwyy+/4D//+Q+6d+8OHx8fSJIESZKwatUqs+qoU6eOvE1pr9dee63EOtLS0vDGG28gJCQEbm5uaNCgAebOnVvmzXiZmZl45JFH4OrqijNnzliw50RERERERERERI7jNJ2za9euxfPPP4+vv/662Lp169bh9ddfR3JyMoQQyMvLw6+//oq+fftCCGF2GyEhIQCACxcumFW+R48e2Lx5M7y8vJCcnIynnnoKx48fN7u9isaLqkRERGSt+vXrY8iQIfjss8+wd+9eaDQau8eQnZ2NsLAwLF68GLdv30Zubi5iYmIQERGBgQMHlprnRURE4NatW5gyZQpatWplv6CJiIiIiIiIiIjKwWk6Z3fu3AkAGDhwYLF1ERERAIBatWrhgw8+wLBhwyCEwLFjx/DTTz+Z3UbLli2LtGWOsLAwbNu2DT4+PkhNTUW/fv3M3rai8aKq83r//fdL7Oj29vZGy5Yt8d577yExMbHEOtLS0hAUFASFQmHTp7Znz54tx0LOYd++fRgyZIh8g0NwcDCeffZZ/PHHH6VuN2bMGEiShBkzZtgpUtuxdp/Lw2AwoFOnTvLxX6dOHaeNlcie/P390bNnTwwePNjqOoYPHw6NRlPi64svvjC53fz583Hu3Dn4+fnh999/x+3bt/HNN99ApVJhy5Yt+OGHH0xud+7cOSxevBi1atXC3LlzrY7bWTGPIEswj3DePCIzMxMLFixAt27dUK1aNSiVSnh7eyM0NBTjx4/HyZMnKyxeIno4MYcgSzCHsH0OUd4HafLz87F7927MmDEDYWFhCAoKgkqlgo+PD0JDQzFx4kQ+4EJE9KAQTuLRRx8VCoVCnDt3rsjy06dPC0mShKurq7hy5Yq8/JVXXhGSJIl+/fqZ3cayZcuEJEkiODhY5OXlWRTfsWPHhL+/v1AoFEKSJKFQKCzaviIAEACEv7+/6Nmzpxg8eLC8LDIy0qw6ateuLQCI4cOHC41GU+JLp9OZ3P6DDz4QAISfn5/4/fffxe3bt8U333wjVCqVACBWrVplcruzZ88KV1dXUatWLaHRaKz9CGwqKipK/vwAiKioKKvr6t27d5G6SnpVr15dXLp0yWQdr732mgAgBg0aZHUcpkRERMjtk+O9++67QpKkEo+RESNGiPz8fJPbXrt2TSiVSuHm5iauX79u38DLoTz7XB6LFi0q0k7t2rWdNlYie1i3bp2IiYmR/3/Pnj1W5xHh4eFWxVCnTh0BQCxdurTI8jfffFMAEN27dy+2jcFgEB06dBAAxO+//25VuxWBeQQ5AvMI580jzp07J0JCQkr9G5YkSbz77rs2j5WIKhfmEOQIzCEqJoco7e/OnHOsxx57rMy/X0mSxPTp04XBYChXrERE5FhOkxEFBAQIhUIhkpKSiixfsGCBkCRJPPnkk0WWHzlyREiSJEJCQsxuIy4uTigUCqFQKMQ333xjcYxnzpwRgYGBTtM5y4uqtmXLE6Lq1asLAKJr165FOrkTEhLE7t27Rfv27eV2OnXqVGz7q1evCqVSKRQKhTh//nx5dqsYnhA5j6VLl8r/Fm3atBF///23SEhIEKdPnxYvvfSSvG769Okl1jF+/HgBQAwePNiOkVvPFvtsjevXrwtPT0+hVCrlC6VlXVR1VKxEjmLvPCI9PV1u7+bNm0XW7du3TwAFN6Ddb9myZQKA6Nu3r8VtViTmEWRvzCOcN4/QaDRyORcXF/H666+L48ePi4SEBBEdHS2WL18uatWqJce7cuVKm8ZLRJULcwiyN+YQFZdDGOux9kGa+vXry9fBly1bJs6dOyeSkpJEbGysiIyMLHLj1wcffFCuWImIyLGcJiMyJn/JyclFlr/44otCoVCIefPmFVl+9+5dIUmScHd3t6idjRs3itWrV4udO3daFeelS5fE7NmzxezZs63aviLxomr52OqEKD4+Xq5jypQpJsukp6eL4OBgudyNGzeKrB8zZowAIJ555hmrYigNT4icQ0pKivDz8xMARMOGDUVmZmaxMsOGDRMAio0cUNjFixflf88LFy5UdNjlYqt9tkaPHj0EADFz5kwRFhZW5kVVR8ZK5Cj2ziNu3bolt6fVaousi46Olv++Crt3756oUqWK8PDwcLq79JlHkD0xj3DuPGLFihXy5/rRRx+ZLHPp0iXh6ekpAIhWrVrZLFYiqnyYQ5A9MYeo2ByivA/STJ8+vdTP886dO/LfsEqlEnfv3rU6ViIiciynmXPWy8sLAHD37t0iyw8cOAAAaN++fZHlSqWyyH/N1b9/fwwfPhw9evSwKs5GjRohIiJCngf3YZaRkSG/DwwMLLIuKCioWBkASEhIwLvvvgsPDw8sWbKk4oN0gNOnT8vvW7RoYbKMj48PevXqJf//5cuX5fcJCQlYs2YNAGDEiBEVFCWlpqbil19+gVardUj7P/74I9LS0gAAc+fOhaenZ7Eyn3zyCVxcXJCXl4evv/7aZD2PPvoo2rRpAwBYtmxZhcVrC7baZ0t99913+Pvvv9GoUSPMnDnTqWMlquzy8vJgMBjMKuvj4yO/T0pKKrLOOA9a4TIA8NZbbyE1NRUffPCB2fNGVzbMIyoH5hH2V5nyiMJ/x+Hh4SbLNGrUCB07dgQAREdHlz9QInroMYeoHJhD2J89c4jBgwejXr16Vm8/f/58NGnSpMT1wcHBeOuttwAAubm52LFjh9VtERGRYzlN52yjRo0AAFu2bJGX7du3DwkJCXB1dUW7du2KlDd24ho7Ack2eFG1/E6dOiW/L+mECCjeoW20Zs0a6HQ6eHt7Y8CAASVuf+nSJUyePBmhoaHw8vKCSqVCcHAwWrRogdGjR+Onn35Cfn6+VfuQkZGBefPmoV27dvD394ebmxtq1qyJ559/Hps2bSp129mzZ0OSJEiSBAC4ffs23njjDTRo0ABqtRoBAQHo06cPtm3bVmYcQgj8+uuvGDhwIGrVqgV3d3f4+fnhiSeewP/+979inf+WSE9Px5AhQxAUFITRo0dj165dZh/7tmD8HN3c3PD888+bLFOrVi106tQJALBx48YS6xo5ciQA4IcffkB2drZtA7UhW+6zueLj4/H2229DkiQsX74cbm5uThsrUWW2Y8cOPPLII1CpVHB1dUX16tXx/PPP448//oAQwuQ2Pj4+qF27NgAU+00w5oOFf0f37NmD1atXo1mzZpg2bVoF7UmBhIQEnD9/3qLX1atXbdI28wjmEeZgHuHceYS7u7v8XqEo+ZTbuK6kv2ciIkswh2AOYQ7mEJX//L5Zs2by+7i4OAdGQkRE5eLYB3f/NWfOHCFJkvD09BSLFy8Wv//+u2jYsKFQKBQmh7/98ccfTc5F+zArz3CEwcHBIiQkREiSJCRJEkFBQWLAgAFi06ZNpU4wb9x+xYoVRZa/++67AoDo1q2bvGz37t0CgGjWrJnIzc21ah8rkq2GEnrhhRcEAKFQKERWVlaJ5YYOHSq39c8//8jLu3TpIgCIZ599tsRtf/31V6FUKovEa+qVmppabNuyhhI6duyYCAoKKrXefv36lbhvhes/efKkCAgIKLGet956q8R9vHfvnujUqVOpcdSsWVOcOXOmxDpKc/v27WKfYY0aNcRbb70lTp06ZVWdlvDx8REARIcOHUotN2PGjFL/PYUomBfIWMbe8zhrNBqzy9pyn83Vv39/AUCMHTtWXmbOcISOiJXI0cqTR5T26t27d4l/H++9954AIAIDA8XOnTtFenq6+Pnnn4WHh0eR/EKn04nGjRsLSZLEgQMHbLTHJSv8W2bti3kE84iKxDyiZM6QR/z0009yDAsWLDBZ5saNG8Lb21sAEBMmTChXnERUufFaRAHmEMwhLOHsOYSRNedYZfn+++/lOpcuXWqTOomIyP6c5snZKVOmoHr16sjOzsbUqVMxaNAgXL16FQqFAu+//36x8n/99RckSZLvarLWwYMHsXjxYkycOBGDBg1C79690bt3bwwaNAgTJkzAokWLcPDgwRKf+nhQxMfH49atWxAF8xDj3r172LhxI/r374++ffvKw3/cb/jw4QCA9957D3///TcyMjKwbt06LFq0CADw8ssvAygYamPixImQJAlff/21xcNRW8qRT7wYhxKqX78+PDw8TJbRarXYtWsXACAgIABNmzaVlx87dgxA8aG8jdLT0zFmzBjo9XrUrVsXq1atwpUrV5CSkoL4+HgcPHgQH3/8MVq1amVx7Ddv3sTTTz+Ne/fuQa1W48MPP8Tly5eRlJSEAwcOoF+/fgCAP//8U75DsjQvvvgihBBYtmwZYmNjce/ePfzxxx/yXX6ff/45vvrqq2LbZWdn46mnnsLBgwfh4+OD//3vfzh37hxSUlIQGxuLFStWoEaNGoiLi0OfPn2QkJBg8b7WrFkTd+/exbJly9C1a1dIkoQ7d+7g888/R+vWrREaGop58+YhNjbW4rrLEh8fL99pW79+/VLLFh4O5+LFiybL1K9fH9WqVQMA7N271+J4UlJS8NFHH6Fz586oWbMm6tevj969e2Pp0qWIj48vcbstW7bgmWeeMasNW++zOdatW4dNmzYhKCgIn376qdnbOSJWosoqNDQU8+fPx+HDhxEXF4fc3FzcuXMHP//8s/w7tHXrVgwcONDkEwEzZsxAkyZNkJCQgJ49e8LX1xdDhw5FdnY2evTogdGjRwMoGN7r0qVLGD16NDp37gwA0Ol0WLlyJV599VWMHTsWixcvLtdTDM6CecS/mEeYxjzCufMIoGBIw+bNmwMA3nnnHcyaNQuXL19GTk4O7ty5g3Xr1qFHjx7QaDRo0qQJ/vvf/1odJxGREXOIfzGHMI05xINxfv/LL7/I78t7XZyIiBzIkT3D94uOjhZdu3aVn96sW7eu+OOPP4qVS0pKEmq1WigUCrFnzx6L28nKyhJz5swR1atXFwqFwqxXUFCQmDNnjslJ452FNXdj9enTR8yfP18cPnxYxMXFidzcXHHnzh3x888/i1atWsn1de/eXeTn5xfbPiMjQzRp0sTknYQ9evSQt5k7d64AIMaMGSNvq9VqxXfffSdeeeUVMWbMGLFo0SKRnp5uk8/CUU+8pKWlCUmSBADxwgsvlFjuzTfflNuZNWuWvLzwv+HOnTtNbvvHH3/IZU6fPm1xjKXdrTp48GABQEiSZLJ9g8EgXnrpJXn7LVu2lFq/Wq0ucieuUVpammjcuLEAIHx8fERGRkaR9f/5z38EAOHv7y+io6NN7sfNmzflO2HfeOMNM/e+ZLdu3RKffPJJkePe+Fl06dJFLFu2TCQnJ5e7HSGEOHv2rFl37AohxKZNm+Sypr4Pjfr16ycAiObNm5sdh8FgEF999ZX81Iapl6urq+jRo4dYsmSJ2L9/vzh58qT4/vvvRY8ePQQAUb9+fYftc2mSkpJEtWrVBADx888/F1lX1hMv9o6VyFnY+q5unU4nfzcBED/++KPJcklJSWLy5MmiRo0aQqlUinr16olZs2aJnJwcIUTBHfnu7u4iICBAJCUlCSEKnjh49NFHi31n1ahRQ5w/f77csTOPKBnzCNOYRzCPuF9CQoLo2bNniZ9NjRo1xHvvvVfs+CWih48tnpxlDsEcwhzMIex/fm/rc6wdO3bI9XXp0qX8ARIRkcM4VeesUUZGRqnDRyQlJYm9e/eKvXv3Cr1eb1Hdly9flodLNnYCS5IkFAqF8Pf3FzVr1hS1atUSVatWNVmmUaNG4urVq+Xcw4rBi6r/ctRF1b1798rbz5kzp8i69PR0sXfvXjFgwAC5TOvWrYt0+H/55ZfyumvXrplsY/369XKZxMREi2Ms6YQoMTFRuLi4CABi2LBhJW6fnJwsDzc5YMCAUusvLfHduHGjXO7bb7+Vl2dnZwsvLy8BQHz22Wel7svs2bMFAFG1atVSh9+21MWLF8WsWbNEgwYNihwTKpVK9O/fX/z666/y8W2NgwcPynW+//77pZYtnHj/9NNPJZYznmS7uLiY/Vlcv35dPul79tlnxbfffiu2bdsmVq1aJSZMmCCqV69e6t9I9erVxcaNGx22z6UZPny4AGByWPyyLqraO1YiZ1ERQ27du3dPqNVqAUA8/fTTVtXx9NNPF4vpqaeeEkDBkMnXrl0TcXFxYvTo0QKAaNKkicjLyyt33FFRURa9Cv+uMY9gHsE84uHNIwpLSEgQ48aNM7n/Hh4eYsyYMeLWrVtWxUhEDw5bdM4yh2AOYQ7mEPY/v7flOdatW7fkob/d3NysHlqbiIicg9MMa1yYt7c3/Pz8SlxftWpVhIWFISwsDK6urmbXm5WVhWeeeQZXr16FEAK9evXCypUrER0dDa1Wi+TkZNy+fRu3bt1CUlIStFotLl26hMjISDzzzDMQQuDKlSt45plnkJWVZYM9dW4qlQorVqyAWq0GAKxevdpkuapVq2LJkiXycIYxMTGYO3cu3N3dAQCTJ0+GVqvFp59+iqpVqwIAwsPDER0djd69e+PatWuIi4vD6NGjcefOHbz44ovIz8+3z07a2KlTp+T3ERERkCRJfvn6+qJbt27YuHEjAKBv377Yvn07PD095W0SExPl98bP6n6tWrWCJEkAgJEjR+LSpUs2if3QoUPy5z548OASy/n7++Ppp58GAOzfv7/UOl944YUS1/Xt21c+tg4cOFAkjszMTABAt27dkJmZWeLLOFxccnIyrl27ZsZemufRRx/F3LlzceXKFRw9ehRvvPEGgoODkZubi02bNmHQoEGoXr063nzzzXK3Zfy3tHa9kb+/PwAgPz8fKSkpZrffqlUrnDp1Cn/++SfGjRuHp59+GuHh4fj6668RFxeHPXv24LXXXkPTpk3h4eEBHx8fdOjQAZ999hmuXLmC/v37m92Wuftk7j6XZPPmzVizZg28vLxMDlVliYqOlehBFxgYiI4dOwIo+htprnXr1mH79u3o2rUrRo0aBQCIiorCrl274OnpiTVr1qBu3bqoUaMGli9fjlq1auHixYvYtm1bueMODQ216NWgQYNytQkwj7gf84iyMY+wfH1ZbJVH/PTTT6hduzZWrlyJqVOn4vTp00hJScGNGzewYsUK+Pn5YeXKlejQoQOio6PLFTMREXOIophDlI05hOXrHUmj0aB///64d+8eAGDRokVo2bKlg6MiIqLyML9n8wGwaNEiXL9+HV5eXvjtt9/Qq1evUssrlUo0bNgQDRs2RHh4OHbu3IkXXngB165dw5dffokZM2bYKXLHMV5U3bVrV4VdVK1SpQoAYPny5di5c6d8UbVv375Wxz1p0iQMGjTIom2uXr2KAQMGWN0m8O8cL6a4ubmhdu3a6NixI8LDw9GtW7diZYwnRK6urvDx8TFZT926dTFt2jR8/vnn2Lp1K7Zu3YqGDRuic+fO6Ny5M3r06IFHHnnE4tivX78uvzfOw1KS5s2bY8OGDUhJSUFGRkaJsRrnrzHF1dUVjRo1wtmzZ4u0XfjiVJs2bcwNH4mJiWXOH2KNtm3bom3btvjiiy+wadMmTJ48GfHx8UhPT8eGDRuwYMECi+v08vKS3+fk5JRatvD6wtvdr/AJdEJCQokn1IVVr14dR44cgZubm8n1CoUC3bp1M3msWqoi9tmUjIwMTJgwAQDw4YcfWvW3YK9YiR4WQUFBAFDi/PUlycjIwJtvvgmlUomvv/5aXn7w4EEAQIcOHeQcAij4XTHeeHfo0KFy5RGOwjyiKOYRpjGPcO48AgDWr1+P4cOHAwC++eYbvPrqq/K6KlWqYOzYsejVqxcee+wx3L59G+Hh4Th69KhVbRERAcwh7sccwjTmEJXz/F6r1eK5556Tr8tGRERg/PjxDo6KiIjK66HqnP39998hSRLmz59fZsesKT179sTHH3+M1157Db/++utD0TkLVM6LqoGBgQgMDLR6e2sZT4geeeQRnD9/Xl7u6uoqP0lcGnPv0vvss8/QokULLFy4EKdPn8aVK1dw5coVREZGAgC6d++OTz/9FI8//rjZsWs0Gvm9t7d3qWULr9doNCWeEJWVzBrXF27b0uPMSKvVWrVdWXQ6HbZs2YK1a9fir7/+KpKsW3sCFhAQIL9PSEgotazxrkig5DuYAUAIIb839zgy55i0lYrYZ1Nmz56N27dv44knnsDrr79uWZD/n71iJXpYxMfHA0CR33xzvP/++4iPj8e7775b5AJbUlISgKJ/q0bG3/7CT39UJswjimIeYRrzCOfOI4CCi6ZAQUfGK6+8YrJMSEgIXnvtNcyZMwfHjh1DVFRUmZ0SREQlYQ5RFHMI05hDVL7z+9zcXAwcOBB79+4FAEyfPh2zZ892aExERGQbTtk5e+DAAezYsQOXLl1CWloa8vLySiwrSRJ27dplVr0xMTEAYNXQF0b9+/fHa6+9Jtf1MOBFVfNotVr5TsvWrVtbdZddtWrVAAB5eXlIT0+Hr69viWVHjhyJkSNH4u7duzh8+DAOHTqErVu34vz589izZw86deqEAwcO4IknnjCr7ftPcoyd8qaYe/KUmZlZ6j4YhwwqXEfh9zdv3kRISEjpgVeA/Px87N69G2vXrsX69euRnp4ur6tVqxaGDRuGl19+GS1atLCq/ho1asDHxwcZGRllfpcUHiKpSZMmJZYrPHyQ8Tgqy40bN1C3bl2zypakfv36uHr1apnlKmKfS9v2+PHjcHFxKbVsbGysfPIYFhYmn+zYK1aih8Hdu3dx6NAhAAW/jeY6efIkvvrqK9StWxezZs0qss44DJ2piyvGCyrGMpUJ84jimEeYxjzCufOItLQ0REVFASh48qq0C9WF/77Onz/PzlkisgpziOKYQ5jGHKJynd/n5eVh8ODB2Lp1KwBg6tSpmD9/voOjIiIiW3GqOWfj4uLQtWtXdOvWDfPmzcPvv/+OXbt2Ye/evdi3b1+R1969e+WXuWw5j6nBYLBZXc6MF1XN988//8g3EljyWRVW+Glfc+fqqF69Op5//nl8+umniIqKwqZNm+Dq6gqdTod58+aZ3XbhxLjwnbamGC84+fv7l3inKgBcuHChxHV5eXm4fPlysbYL3wFqTqJtS0eOHMGUKVNQs2ZN9OrVC5GRkUhPT4efnx/Gjh2L3bt34+bNm/jkk0+sPhkyMt5JfOrUKeh0uhLLGf/+6tWrV+oNEsnJyQAAFxcXec4XZ2Prfa5IlSlWIke5fft2qeu1Wi1Gjx4t/w2NGDHCrHoNBgPGjx8Pg8GApUuXFssJQkNDAQCHDx+Wb/gCAL1ej+3btxcpU5kwjyiOeUTJmEc4729z4SebLJnbTqFwqlNzIqpEmEMUxxyiZMwhnDeHKCw/Px8vvfQSNm3aBKBg+jZrhrImIiLn5TRPzubk5ODpp5/GhQsX4OLigtatW+P48eOQJAmdOnWCRqPB5cuXodVqIUkS6tSpg9q1a1vURu3atXHx4kX88ccf8lxClvrzzz/luiq727dvo1atWiWut9dFVeMTtJX9omrhOXmtPSEqfLf81atXrbqT8LnnnkPHjh2xf/9+XLx40eztOnbsCBcXF+Tn5+OXX34p8QnztLQ0bNu2DQDQtWvXUuv8/fff0aFDB5PrNm/eLF+86tKli7y8a9eucHd3h1arxdq1a9G9e3ez98EaUVFR+Omnn/Dzzz8XmW9GpVKhT58+ePnll/Hss8+WOBeKtQYMGIA9e/ZAq9Vi48aNGDJkSLEycXFx+L//+z+5fGmMJ4+hoaFmDyVUs2ZNi44RU1Qqldllbb3PpixYsKDMIX7GjRuHkydPIjg4GFu2bAFQfNgre8RK5GgxMTFFRqoofBErJiYGR44ckf/fx8en2Nxdr732Gu7evYvBgwejffv2qFu3Ljw8PJCUlIT9+/fjs88+k+vs2bMnhg0bZlZcS5cuxcmTJ/Hiiy+id+/exdZ3794d1atXx927dzFo0CAsXrwY7u7u+OCDD3Dnzh2o1WoMHDjQos/CGTCPKI55RMmYRzhvHhEQEACVSoXc3FycPHkSQogSP9Pjx4/L7x+E80sicgzmEMUxhygZcwjnP783GAwIDw/Hr7/+CqAg91iyZIlDYyIiogognMTixYuFJEmiatWqIioqSgghhCRJQqFQiKysLCGEELm5uWL16tWiVq1awtvbW2zatMmiNmbMmCEkSRLe3t7i77//tjjGXbt2CW9vb6FQKMR7771n8fa2dvXqVXH48GH5tXTpUgFAABAzZ84ssu78+fPFtu/fv79o166d+Pzzz8XBgwfFnTt3RFpamrh69apYuXKlaNq0qVxfz549hcFgMCuuxYsXCwDixRdfNLlep9OJ6tWrCwCiW7du4ty5c+Ly5cti6NChAoBQq9UiMTGxXJ+NNaKiouT9BSAfh+YaP368vG1cXJxVMWi1WuHu7i4AiP/+978my8TExAitVltiHTqdTtSuXVsAEB07diy2PiIiQo7zfkOGDBEAhEKhELt37zZZ/4gRI+Ttt27dWmr9arVa/PPPP8XKpKeni0cffVQAEN7e3iIjI6PI+qlTpwoAwsXFRWzYsKHEfRVCCIPBIC5dulRqGVMSExNFs2bNivybS5IkunbtKr755huRkpJicZ2WSElJEX5+fgKAaNSokfw9V9jw4cMFAOHq6iouX75can0BAQECgJgyZUpFhVxutt5na4WFhQkAonbt2k4fK1FFCg8PL/IdWNorLCys2Pb9+/c3a9vBgwcLjUZjVkx37twRPj4+wtvbu9Tf0j/++EO4urqabO+bb76x9iMpF+YRzCOYR1QsZ/ltNieP6NWrl3xcrFixwmSZ27dvy597YGCgyMvLq5B4icj5MYdgDsEcomI5MofYs2eP/O8cGRlZZnmDwSDGjh0rbxMeHm729VgiIqpcnKZztnv37kKhUIiIiAh52f2ds0a3b98WISEhwsvLy6JEKCEhQQQGBgqFQiEUCoXo3bu3+P7778WVK1dMngzn5eWJq1evih9//FH06dNHuLi4CEmSRGBgoEhISLB6X22FF1Vtq7wnRG3bthUARFBQULni6N69uwAg+vbta3J9RESECAwMFJMnTxabNm0SMTExIjU1Vdy8eVNs2bJFdOvWTd6HJUuWmNy+pBOi2NhYUaVKFQFAeHp6io8++khcuXJFJCcni4MHDxY5Zl544YUS4zOWqVu3rggICBDffPONuHnzpkhISBB//vmnaN68uVxm6dKlxerQaDRyGUmSRHh4uNi5c6e4c+eOSE1NFdevXxfbtm0T7777rqhfv36JsZTm+vXrcgzNmjUTH330kYiNjbW4nvIofEPFE088IXbv3i0SExPF2bNn5RMDAGL69Oml1nPlyhW57O+//26n6K1T3n0u/O8WHh5uVQzmXFS1RaxEzq68ecTRo0fF7NmzRe/evUXDhg1FlSpVhIuLi/D19RXNmzcX48ePFwcPHrQopsGDBwsAYuHChWWW3bdvn3jqqaeEl5eXUKvVokOHDhbfuGdLzCOYRzCPqHiVJY84ePCgcHFxkS/wT5s2TZw5c0akpqaK2NhYsXLlSlGrVi05lq+//tqqWIjowcAcgjkEc4iKZ68corwP0kyZMkUuP2DAAJGeni40Gk2JL51OZ6uPiIiI7MxpOmerVasmFAqFOHXqlLzM2Dl7/51sQggRGRkpJEkSEyZMsKidgwcPioCAALlu48vV1VVUq1ZNhISEiEceeURUq1ZNuLq6FikjSZIICAgQhw4dKvf+2gIvqtpWeU6I8vLyhFqtFgBE7969yxXHsmXLBADh5eVl8m6+wiccpb3GjBkj8vPzS93elGPHjomgoKBS6+7Xr5/IzMw0uX3h+k+cOCH8/f1LrOett94q8XNITEws8tRBaa9hw4aZ+en+6+7du+Ltt98WZ86csXhbWzI+0V/Svo0YMcLkv2NhixYtEgCEr6+vyWPG2ZRnn+3ZOVveWIno4cI8ogDzCPtiHuG8ecSaNWuEp6dnqceeQqEQs2bNsioOIkeKiYkR69atE2+//bbo1q2b8Pb2lo9rc54ME0LIT1iW9Zo8eXKJdaSmpoopU6aIWrVqCZVKJerXry/mzJlT6tOdQhR0wIWEhAgXFxdx+vRpC/a8YjCHKMAcwr6YQ1RMDlHea7Xmbmt8FX7IiYiIKhen6ZxVKpVCoVAUeSJVpVIJhUIh4uPji5W/ffu2kCRJ1K9f3+K2bt26JcLDw4VSqRSSJJn1UiqVIjw8XNy6datc+0nOqzwnRIW3ff/998sVh0ajkU9uf/zxx2LrU1NTxe+//y4mT54s2rZtK5+IqtVq0bBhQ/Hyyy+XOAyQEGWfEAlRMNTPhx9+KNq2bSv8/PyEUqkUwcHBon///mUO7XN//bGxsWLy5MmiXr16ws3NTfj7+4tnnnnG5DBEpuzYsUOEh4eLBg0aCE9PT+Hq6ir8/f1FmzZtxKRJk8Sff/4pcnNzzarLWe3du1cMGjRI1KxZU6hUKhEUFCT69u0rNm7caNb2bdq0EYBzDyN0P2v32d6ds+WJlYgeLswj/sU8wr6YRzhvHnHz5k3x/vvvi3bt2sk3wnp5eYnQ0FAxceJEp+gUIrJGaR0F9uqczcrKEi1atDC5TZ8+fUodBnTatGkCgHjzzTet2X2bYw7xL+YQ9sUcwvY5BDtniYjIXJIQQsAJ+Pr6IjMzE7dv30ZwcDAAIDAwEMnJyTh8+DDatm1bpPzdu3dRo0YNqNVqZGVlWdVmamoqNm/ejBMnTiA6OhqJiYnIzMwEAHh5eSEgIACPPvoo2rRpg2effRZVqlQp306SUzt//jyaNWsm/39UVBRCQ0MdEsvkyZPx1VdfoVevXti+fbtDYrDW7NmzMWfOHACALb9ehBDQ5xfUp3SRIEmSzequzKKjo9GkSRMAwIULF+T3RERkX8wjbKOi8ogHnbV5EvMIIrKG8TvG398fjz/+OKpUqYJffvkFABAZGYlRo0aVWUedOnUQGxuL4cOHY9myZSWWU6lUUKlUxZZHRERg7ty58PPzw3fffYd27dph8+bNeP3115Gbm4tVq1YhPDy82Hbnzp3D448/jurVq+PixYvw8vIyc68rDnMI22AOYV/MIYiIiMrH1dEBGNWpUwdRUVG4e/eu3DnbuHFjHDp0CPv27SvWOXvkyBEAgKur9btQpUoVvPzyy3j55ZetD5yoAkyfPh0rV67E33//jfPnzzvsxMxZxGdocS4+HSnZegCAv4cSLYJ9Eezj7uDIHG/BggUAgMGDB/NkiIiIADCPeNiUJ09iHkFE1li3bh3atGmDevXqAQD27t0rd85aytXV1aoO0h9++AEA8L///Q8DBw4EALz66quIjo7GggUL8P333xfrnBVCYMKECcjLy8OiRYucomPW2TCHIHMxhyAiIiofhaMDMOrQoQMA4Pr16/Kynj17QgiBzz//HNHR0fLyq1evYvr06ZAkCa1atbJ3qEQVrnbt2pg2bRoMBgMiIiIcHY5DJWbqsP9aknzBEQBSsvXYfy0JiZk6B0bmeNevX0dkZCTc3Nwwf/58R4dDREROgnnEw6M8eRLzCCKy1uDBg+WOWUfIyMjAjRs3AAD9+vUrsm7AgAEAgLNnzxbbbvny5Th8+DD69u0rd+hSUcwhyBzMIYiIiMrPaTpnn332WQghsGvXLnnZK6+8Am9vbyQmJqJ58+Z4/PHH0apVK4SGhiImJgYAMHHiREeFTFSh3n33XVSvXh3r1683eWL5sDhxKw0GEyMSGUTBuofZ3LlzodfrMXXqVNSpU8fR4RARkRNhHvFwKE+exDyCiCqrjIwM+X1gYGCRdUFBQcXKAEBCQgLeffddeHh4YMmSJRUfZDlotVqHts8cgsrCHIKIiKj8nGZY46eeegrDhw+Hm5ubvCw4OBirV6/G0KFDkZOTg9OnTxfZ5o033sDQoUPtHSqRXXh5eSE+Pt7RYThUbp4BaVp9ievTtHrk5hmgcnWa+0zsKjIyEpGRkY4Og4iInBDziAdfefMk5hFE5Ezy8vKgUCigUJR9bufj4yO/T0pKQs2aNeX/T0xMLFYGAN566y2kpqbi448/dvrOpIyMDKSkpMDX1xcuLi52b585BJWFOQQREVH5OU3nrFqtxo8//lhseb9+/XDx4kV89913OHPmDHQ6HerVq4ehQ4eia9euVrd35swZbN68GXFxcfDx8UGnTp3Qp0+fMhPf3NxcTJgwAZIk4bvvvrO6fSIqW44+36wyD2vnLBERET28mCcR0YNgx44deOSRR3D79m0ABU/CdujQAaNHj0a/fv0gSVKxbXx8fFC7dm3ExsZi27ZtGDt2rLxuy5YtAIAWLVrIy/bs2YPVq1ejWbNmmDZtWgXvUfkJIaDVapGbmwtfX1+o1WpHh0RERERENiYJIUwMhPXgysvLwyuvvIIffvih2LoGDRrgyy+/RK9evUrcPisrC97e3pAkCfn5ZV8Qocrj/PnzaNasmfz/UVFRCA0NdWBElJ6jx5boe6WW6fNoEHzVSjtFREREZBrzCLI35klE5Cz27t2L7t27Ayh4om7UqFFlblOnTh3ExsaWWqZ379746aef4OfnV2zd+++/j3nz5iEwMBBr1qxB27ZtsXXrVowZMwbZ2dlYsWIFxo4di9zcXLRo0QKXL1/G/v370blzZ2t20WwJCQny07vmunr1qjxXLgBs3LgRjz32GFxdC56nUKvV8PX1NeupYiIiIiKqHJzmyVl7GTt2LFavXg1TfdJXrlxBnz59MGPGDHz44YcOiI6IiIiIiIiI6MEWGhqKSZMmoWvXrnjkkUdQrVo1JCUlYf/+/fj4449x5swZbN26FQMHDsTff/9drGNyxowZ2LBhAy5evIiePXsWWdejRw+MHj0aADB//nxcunQJY8aMkTtmdTod1qxZgyNHjiA/Px8tW7bEqFGjig2FbI2vvvoKc+bMKVcdeXl5SE1NhaenJ9RqNXJycqDT6eDj4wMPD49yx0hEREREjvdQ3XZ34MABeejkZs2a4bfffkN0dDT27duHSZMmQalUwmAw4KOPPsK4ceMcHC0RERERERER0YNn8+bNmD59Otq3b48aNWpAqVQiODgYQ4YMwdGjR9GvXz8ABUMS//TTT8W29/b2xoEDBzB58mR5+3r16mHWrFn4888/oVAoEBMTg3nz5iEgIACffPIJACAuLg6tWrXC2LFj8e2332LlypV444030KRJE1y4cMGun0FZsrKykJ6ejvz8fBgMBqSlpSEpKQk6nc7RoRERERFROTlN5+yBAwfg4uKCunXrwmAwlFo2Pz8fdevWhaurKw4fPmx2G8Y5YkNDQ3H48GEMHDgQjRo1QpcuXbBkyRKcOnUKjz76KIQQiIyMxMsvv1xmLEREREREREREZBsqlQorVqyQ51pdvXq1yXJVq1bFkiVLEBcXh9zcXMTExGDu3Llwd3cHAEyePBlarRaffvopqlatCgAIDw9HdHQ0evfujWvXriEuLg6jR4/GnTt38OKLLzrF9FUuLi7ydFp6vR4pKSnIysqCwWBAbm4ukpOTkZSUhNzcXEeHSkRERERWcprO2d9++w1CCIwcObLMeTRcXFwwatQoGAwG/Prrr2a3cejQIUiShNmzZ8PT07PY+tDQUBw7dgzPPPMMhBBYu3Ythg0b5hTJORERERERERHRwyAwMBAdO3YEAJw6dcri7detW4ft27eja9eu8hy4UVFR2LVrFzw9PbFmzRrUrVsXNWrUwPLly1GrVi1cvHgR27ZtK1fckyZNQlRUlEWvjRs3FqvH3d0dVapUgVJZMG94dnY20tLSkJOTAyEEcnNzkZSUhNTUVF6zIiIiIqqEnGbO2QMHDkCSpGJzhZSkZ8+emDNnDg4cOGB2G/Hx8QAgJ/imeHl54c8//8TIkSOxdu1a/Pbbb9Dr9fjll1/g6uo0HxcRERERERER0QMrKCgIAJCWlmbRdhkZGXjzzTehVCrx9ddfy8sPHjwIAOjQoQOqVKkiL3d1dUWvXr2wcuVKHDp0CH379rU65sDAQAQGBlq9fWEuLi7w8/NDbm4uNBoN8vPzkZmZiZycHHh4eMDd3R05OTnQarXyfLSSJNmkbSIiIiKqWE7z5GxcXBwAoHHjxmaVb9iwYZHtzKHX6wFAvvOwJC4uLli9ejXGjh0LIQQ2bdqE559/Xt6eiIiIiIiIiIgqjvEG+8IdqeZ4//33ER8fj7fffhtNmzaVlyclJQEAAgICim1j7FBNTEy0NtwKo1Kp4O/vDy8vLygUCuTn50Oj0SA1NRV6vR5CCKSnpyMxMZHXrYiIiIgqCafpnE1PTwcAs59ONZZLSUkxuw1jAn7z5s0yy0qShG+//RaTJk2CEAJbtmzBc889B61Wa3Z7RERERERERERkmbt37+LQoUMAgNatW5u93cmTJ/HVV1+hbt26mDVrVpF1xjlsExISim137969ImWcjSRJUKvV8Pf3h6enJyRJQl5eHtLS0pCZmQmDwYC8vDwkJSVBo9FACOHokImIiIioFE7TOevv7w8AuHHjhlnljeV8fX3NbqNJkyYAYNFQyEuWLMHUqVMhhMCOHTvw3HPPmb0tERERERERERH96/bt26Wu12q1GD16NHQ6HQBgxIgRZtVrMBgwfvx4GAwGLF26tFhHa2hoKADg8OHD8lO0QMEoa9u3by9SxllJkgQPDw/4+/vD3d0dAJCTk4PU1FTk5uZCCAGNRoPExET58yMiIiIi5+M0nbMtWrQAAPz2229mlf/9998BWJY4d+7cGUIIrF271qLYvvjiC7zzzjsQQuDIkSMWbUtERERERERE9KCIiYnBkSNH5NeFCxfMWmf02muvoX379vjiiy9w6NAhxMfHIz09HTExMYiMjMTjjz+Obdu2AQB69uyJYcOGmRXX0qVLcfLkSbz44ovo3bt3sfXdu3dH9erVkZOTg0GDBuGff/7BlStXMHLkSNy5cwdqtRoDBw608lOxL4VCAW9vb/j6+sLV1RUGgwHp6enIyMiQn6JNTk5GSkoK8vLyHB0uEREREd3HvDGE7aBfv37YsWMHFi1ahOeffx5t2rQpseypU6ewcOFCSJJk0ZOszzzzDObMmYNjx47h+PHjeOKJJ8ze9qOPPoKHhwciIiLM3oaIiIiIiIiI6EHy3//+F99//73JdR9++CE+/PBD+f/DwsKwd+/eYuWOHj2Ko0ePltrO4MGD8d1330GSpDJjio+Px8yZM+Ht7Y1FixaZLKNSqbB8+XIMHDgQe/fulR8SMFq4cKHJ+WidmUqlglKpRFZWFnJycqDT6aDX6+Hh4QF3d3dotVrodDp4eXnB09MTCoXTPKNBRERE9FBzmqxs7NixqFmzJnJyctCtWzd88sknSExMLFImMTERn3zyCcLCwpCdnY3q1atj/PjxZrfRrl07DBgwAE8++ST+/vtvi2OcNWsWPvvsM9SuXRu1a9e2eHsiIiIiIiIioofZe++9h9mzZ6N3795o2LAhqlSpAhcXF/j6+qJ58+YYP348Dh48iHXr1sHLy8usOqdOnYqMjAz897//RY0aNUos169fP+zatQtPPfUUvLy8oFar0aFDB2zatAmvvvqqrXbRriRJgpeXF/z8/OSnaDMzM00OdazVah0dLhEREREBkIQQwtFBGB09ehQ9evRAVlaWfGdkcHAwfHx8kJGRgfj4eACAEAJqtRq7du1C+/btHRkyPUDOnz+PZs2ayf8fFRXl9PPNPOjSc/TYEn2v1DJ9Hg2Cr1ppp4iIiIhMYx5B9sY8iYjowXB/DrFhwwa0bdvWqrqEENBqtcjOzobBYAAAuLm5wcvLS35qVq1Ww9fXl0/REhERETmQU2Vi7dq1w8GDB9GyZUsIISCEwJ07dxAdHY07d+7Iy1q2bIlDhw6xY5aIiIiIiIiIiAgFT9Gq1WpUqVIFarUaAKDT6ZCSkoLs7GwAQE5ODhITE5GVleXIUImIiIgeak4z56xRixYtcPr0aezevRs7d+7ElStXkJGRAR8fHzRs2BA9e/bEk08+6egwiYiIiIiIiIiInI5CoYCXlxfc3d2RmZkJvV6PrKws5ObmwtvbGwCQnp6OnJwceThkIiIiIrIfp82+nnzySXbCEhERERERERERWcHV1RV+fn7QarVyJ21qairc3d3h4eGB3NxcJCYmwsfHB56eno4Ol4iIiOih4VTDGhMR0YNFCIH0HD3Sc/RwoinOiYiIiIiIHhru7u6oUqUKXF1dIYRATk4O0tLSkJubW3DOlp6OpKQk5OXlOTpUIiIiooeC0z45S0RElduBK4n4bMclnL2dDgBoWcsXb/dqjC4Nqzk4MiIiIiIiooeLi4sL/Pz8kJubi6ysLOTn5yM9PR1qtbrIU7R+fn7yfLVEREREVDH45CwREdnciRspGPP9cbljFgDO3k7HmO+P42RsigMjIyIiIiIiejhJkgQ3Nzf4+fnB3d0dAOSnaPX6gtGOUlNTkZKSwqdoiYiIiCoQO2eJiMjmZm6Kgj6/+DDG+nyB9zdGOSAiIiIiephxqgUion8pFAp4e3vD19cXLi4uyM/PR1paGrKzswEAWq0WCQkJyMjIgMFgcHC0zkkIgdw8A3LzDPxdISIiIotxWGMiqtSycvPgq1Y6OgwqJD1Hj+i7mhLXX7qnQXqOnv9uREREZBecaoGIyDSVSgU/Pz9kZmZCp9MhKysLWq0WXl5eUKlUyMzMRE5ODvz8/ODm5ubocJ1GfIYW5+LTkZKtBwD4eyjRItgXwT7uDo6MiIiIKgs+OUtETinfIBB1N6PMcvuuJeP4rVTkG3inqrO4l6Etdb0QZZchIiIisgVOtUBEVDqFQgEfHx94e3tDkiR5LtqMjAzk5+cjPz8fycnJSE9P51O0ABIzddh/LUnumAWAlGw99l9LQmKmzoGRERERUWXCzlkicjr5BoED15JwMy3HrPJXk7Jw4FoSO2iJiIiIqAhOtUBEZB53d3f4+/tDrVYDAHQ6HVJTU6HVFtxYm5WVhYSEBGRmZj7Uw/ieuJUGU5ceDKJgHREREZE52DlLRE4hN88gzwN2JDYF8RrL7jiN1+hwJDYF6Tl65Obxbl4iIiKirNw8R4fgUOZOtUBERAUUCgW8vLxQpUoVKJVKCCGg0Wjkp2gNBgMyMjKQlJQEvf7h+/7MzTMgTVvyfqdpeT2CiIiIzMM5ZwuJjo7Gt99+i3379uHGjRvQaDTw9vZGnTp1EBYWhldffRWNGzd2dJhED5TETB1O3Eor9QRHIQGNqnmhXlVPeLu5QqPLw7XkLFxOzCxyx+rNtBz5aVs/dyXahPihmhfnxSEiIqIHiyXTPzQI8ETrmn5wUUh2iMy5mDvVgq9aaaeIiIgqB1dXV/j6+iInJwfZ2dnQ6XTQ6XRwd3eHp6cn9Ho9kpKS4O3tDS8vL0eHazc5+nyzyqhc+SwMERERlc5psoWrV686rG0hBP7zn/+gWbNmWLhwIU6dOoWUlBTo9XqkpKTg1KlTWLhwIUJDQ/HOO+9wjg0iG4nP0GL31cQyO2afalgNj9X0g6+7EgpJgq+7Eo/V9MNTDauhpOuMaVo9dl9NRDznNiUiIqIHCKd/ICIie5AkCR4eHvDz84NKpQIAaLVapKamIjc3F0II+Sna/PyyOy2JiIiI6F9O8+Rs48aNERYWhnHjxuGFF16Am5v9nnabOHEivv32W3nOjMceewzNmzeHt7c3NBoNoqKicPr0aRgMBnz22WfQaDT46quv7BYf0YNICIFz8ekm52oprFE1LwR4mv4+CPB0Q8MAL1xKzDS53iCAf+LTUd3bDZL08D0tQkRERJVTbp6hxKdzou5mWD39Q7PqPkWWq5UufLqHiIhKZXyKVq/XQ6PRID8/H+np6fJTtLm5uUhISICvry88PDwcHS4RERFRpeA0nbNCCOzbtw/79u3D66+/jpdffhljx45FixYtKrTd/fv3Y/ny5ZAkCd26dcPXX39tcujiS5cuYdKkSdizZw+++eYbDBs2DF26dKnQ2IgeZPp8gZTssueoqVfVs9T19QM8S+ycBYDkbD30+QIqV3bOEhERkXMzZ7qH+1kz/UNhnAqCiIjMoVQqUaVKFWRlZSEnJwdarRZ6vR7e3t5QKpVIS0tDTk4OfHx8oFRyuHgiIiKi0jjNbdILFy5E8+bNIYRAamoqlixZgsceewzt2rXDihUrkJlZcudLeXzzzTcAgI4dO2LHjh0lzinbuHFjbN++HZ06dSqyHRFVLG+30u8hKWs9ERERUWVgznQP97N2+ofCOBUEERGZS5IkeHl5wdfXFy4uLsjPz0daWhqys7MhhIBOp0NiYiLS0tI41DERERFRKZymc3bKlCk4c+YMjh07hldffRXe3t4QQuD48eMYP348atSogVdeeQVHjhyxabsHDx6EJEmYPXs2XF1L7+RxdXVFREQEhBD4v//7P5vGQfSwUbpI8Pco+25ajS6v9PXa0tdX9VBC6cKnZomIiMh5mTvdw/3Mmf7BHMapIIzTvBAREZVGpVLBz89PnpIsKysLqamp0OkKht3Pzs5GQkICMjMz+dtCREREZILTdM4atWnTBsuWLUN8fDwiIyPRpUsXCCGQmZmJlStXolOnTmjevDkWL16M1NTUcrd37949AECrVq3MKv/YY48BABISEsrdNtHDTJIktAj2LfOJjmvJWaWujyllvUICWgT7cr5ZIiIicmrmTvdwP3OmfzCXcSoIIiIicygUCvj4+MDb2xsKhQL5+fnIyMhAWloa8vLyIIRARkYGEhMT5U5bIiIiIirgdJ2zRmq1GuHh4di3bx8uXbqE//znPwgKCoIQAufPn8ebb76JGjVq4KWXXsLu3butbsd4l192drZZ5Y3lVCqV1W0SUYFgH3c82aAa/NxLfoL2cmImkrJMn8glZelwJcn0kOd+7ko82aAaqvu42yRWIiIiImfD6R+IiMjR3N3d4e/vDw8PD0iSBL1ej9TUVGg0GhgMBuTl5SE5ORmpqanQ6y2/EYmIiIjoQeS0nbOFNWzYEPPnz8etW7ewYcMG9OrVS57LYt26dejZsycaNGiAzz//HBqNxqK669atCwDYvHmzWeWN5erVq2fZThCRSdW83NC7SRBeaF4DfR4NQtd6VYusNwhg15VEnLqdhnStHgYhkJ6jx6nbadh1JbHY8H9h9ariheY10LtJEKp5mR7mj4iIiMiZmDvdw/3KO/1DYZwKgoiIrCVJEjw9PVGlShX5IQitVouUlBTk5OQAAHJycpCYmIj09HTOR0tEREQPvUrROWt06dIl7N+/H6dOnZKHKRVCQAiBa9euYfr06ahbty5++OEHs+t85plnIITArFmzcOHChVLLRkdH44MPPoAkSejdu3e59oWIilK5KuCrVqKmrxoN7huCzyCAS4mZ2HLxHtadicOW6Hu4lJhZrGO2QYAnaviqoXKtVF9tRERE9JAzd7qH+5Vn+ofCOBUEERHZgouLC3x8fODn5wdXV1d5mrLU1FTk5uYCKJifNjEx0ewR7IiIiIgeRE7fg5GZmYkVK1agQ4cOaN68ORYuXIikpCS5g3TDhg3YuXMnBg8eDFdXV6SkpGD06NFYv369WfW/+eab8Pb2RkpKCtq1a4dZs2bh3Llz8l18+fn5+OeffzBr1iy0bdsWSUlJ8Pb2xtSpUytwr4kebq1r+iHY27KnXoO93dC6pl/FBEREDz29Xo+0tDQkJyc7OhQiekCZM93D/ayd/qEwTgVBRES2plQq4efnB09PT0iShLy8PKSnp8vz0RoMBqSlpXE+WiIiInpoOe0kRAcPHsR3332HX3/9FdnZ2RCi4BG5GjVqYMyYMRg3bhweeeQRufxTTz2F2NhYvPzyyzh48CA+/vhjDBw4sMx2AgMDsXbtWgwcOBBZWVmYN28e5s2bB6Bg3gytViuXFUJApVLh559/RrVq1Wy8x0Rk5KKQ0KVeAI7EpuBmWk6Z5RsEeKJ1TT+4WPq4CRFRGfLz86HRaHhnPxHZhXG6h9w8A3L0xYd8zMzNw/5r/94kYpz+oWGAF+oHeMLbzRUabR5ikrNwJan4KCNh9arCU/XvKaBa6cIRR4iIqEJIkgQPDw+4u7sjJycHOTk58ny0Hh4eUKvV0Ov1SE5Ohlqthq+vLxQK/iYRlZcQAhn/f2oLH3dXjoxCROSknKpzNiEhAd9//z1WrlyJy5cvAyj4QVEoFOjduzdeffVVPPvssyUma7Vr18Z3332HRx99FNHR0Wa326dPHxw8eBCTJk3C8ePH5eXGeTGM2rVrh6VLl6J169ZW7B1VNsYhd8gxXBQSmlX3KbNzNqxeVdTwVdspKiJ6WBgMBmRmZiIrK0u+QYx39RORvahcFSY7TX3VSjQI8MTVpH+HKzZO/3ApsfSnZI3TPxAREdmTQqGAp6cn3N3dkZWVBZ1Oh+zsbGi12iKdt7m5ufDx8YFazd8qImsduJKIz3Zcwtnb6QCAlrV88XavxujSkA8ZERE5G6fpnH3++eexZcsW5OXlyRdBa9WqJT8lW6tWLbPqadSoEYCCOSws8fjjj+Po0aM4e/Ys9u/fj+vXr0Oj0cDb2xt169ZF165d0bJlS8t2iio14/CVXl5ecHOzbIhdsp/CT38QEZWXEALZ2dnQaDQwGAwACoY0zsrKgl6vh6enZxk1EBFVrNY1/ZCly0O8xvwbRjj9AxEROZpxPlqdToesrCzk5+cjMzMTOp0O3t7eAIDU1FRotVo+RUtkhRM3UjDm++PQ5/87dMrZ2+kY8/1x/PxKezxe29+B0RER0f2cpldj06ZNAAqSNeNTsn369LEqGevatavZQzYsXrwYANCtWze0aNECLVu2ZCcsASi4QK/T6aDT6TjEDhHRAy43NxdarRZarRZ5eQVDQOXn58t39xMROQtO/0BERJWZm5sbVCoVtFqtfANk4aGOc3JyoNPp4OPjAw8PD0eHS1RpzNwUVaRj1kifL/D+xihse6OrA6IiIqKSOE3nbK1atTBu3DiMHTsWNWvWLFdde/fuNbvs1KlTIUkSTp06Va426cGTkZGBnJwceYgd492carWanbRERA+A/Px86HQ6ZGZmyh2yQMGQxtnZ2fL0BpIkyaN6EBE5A07/QERElZkkSVCr1VCpVNBoNPJINbm5ufJTtGlpacjJyYGvry9cXZ3m8mWZsnLz4KtWOjoMesik5+gRfVdT4vpL9zRIz9Hz2CQiciJOk92cO3cOCoUC7u7udm3X398fqampeOSRR+zaLjk/4xA7Wq0W3t7ecHV1RXp6OtLT0+Hu7g5vb28olUxqiIgqm7y8PGRmZiI7O1teZjAYoNfrodPpkJubK3fGqlQqeHp6IicnB1qt1lEhExFZhdM/EBGRM3NxcYGvr698w6Rer0dKSgo8PDzg4eEBnU6HxMREeHt7w8PDw6E3yucbBKLuZpRZbt+1ZI5aQXZ3L6P0c1UhCsqwc5aIyHk4zeN/VatWhb+/P3bu3GnXdhs0aAAAuHfvnl3bpcpBkiTk5eUhLS2tyJNVWq0WiYmJSEtL43CXRESVgHGI4qSkJCQkJMgds3q9HtnZ2UhJSUFGRgZ0Oh2EEHB1dYWvr2+lu1OfiIiIiKgykSQJ7u7uqFKlClQqFQAgOzsbqamp8k2TGRkZuHfvHjQajUNGtMk3CBy4lmTWdAIAcDUpCweuJSHfwNF3iIiIyDSnudro5uYGnU6HJ554wq7tvvjiizh27Bh+/fVXzJo1y65tk/Pz8/OTh9bJyclBTk4OXFxc4OXlBZVKhezsbGRnZ0OlUsHHx0c+kSAiIudgnMvq/htpcnNzkZ2dDb1eLy9zcXGBSqWSX0REREREZB/Gp2iN+Xt+fr48cplarYarqys0Go081LGbmxty8wzI0edXeGxRdzMQr7Hsxvx4jQ5HYlPQrLpPBUUFqJUuULk6zXM3REREZAGn6ZytUaMGrl+/DoPBYNd2p0yZgtWrV+Ojjz7C448/jj59+ti1/fK4du0aTpw4gePHj+PEiRM4efIkNJqC+QUiIyMxatQoi+pauHAhtm7diri4OKjVajRu3BjDhg3DhAkTSh2+Ny0tDREREVi/fj0SEhIQEhKCkSNH4p133oGbm1uJ22VmZqJp06a4c+cOTpw4gVatWpkdr70UHmLHONSl8QRBqVTCzc0N7u7uyM3NRVJSEtzc3ODj48PhjomIHEyv18tPwhZeVvi7HCi4U9/YGevm5gZJ4tBjRERERESO4u7uDpVKhaysLGi1Wvnl5uYGLy8v5OXl4Vp8Eq5mApl6xzyZqpCARtW8UK+qJ7zdXKHR5eFachYuJ2ai8MOyN9NyzH7a1lp+7kq0CfFDNa+Sr78RERGR83GaztkePXrg22+/xcGDB/HCCy/Yrd0jR44gIiICb7zxBvr164enn34azz77LOrVqwcPD49St+3ataudojStfv36Nqlnw4YNGDFiBLKysuRlOTk5OHz4MA4fPoyVK1di+/btCAwMLLZtdnY2wsLCcO7cOXlZTEwMIiIicPToUfz1118lXuiOiIjArVu38Oabbzplx2xhbm5ucHNzg8FgQHZ2NrRaLfR6PfR6PXJycuDh4QF3d3d5PhSVSgUvLy+7z6FMRPQwE0LIIx0Yhy0WQsjzxRo7ZIF/h09Tq9VwcXFxVMhERERERHQfhUIBb29vuLu7IycnR75hXq/XQ6/yxOVsFRw1YLBCAp5qWA0Bnv92hvq6K/FYTT+E+Kmx60oi7DmacZpWj91XE9G1XgCCfXgNioiIqLJwms7ZN998Ez/++CM++OAD9OzZEz4+FTfsR2HdunWTOw+FENi+fTu2b99e5nbGuUidgb+/Px5//HFUqVIFv/zyi0Xbnjp1Ci+99BK0Wi0CAwPxxRdf4Mknn0ROTg7WrFmDuXPn4syZM+jfvz8OHjwIhaLocCnz58/HuXPn4Ofnh++++w7t2rXD5s2b8frrr2PLli344YcfEB4eXqzdc+fOYfHixahVqxbmzp1brv23J4VCAS8vL6jVauh0Ovliv0ajQXZ2Njw9PaFSqZCbm4uUlBS4urpCrVbDw8ODF/+JColLzUGjIG9Hh0EPCOPd9Dk5OUXmoNLpdPKQaMC/T8m6ublBpVLxKVkiIiIiIiemVCqhVCqh1+uRmZkJvT4PsdkKh3XMAgVPzBbumC0swNMNDQO8cCkx064xGQTwT3w6qntzJCAiIqLKwmkmJmjcuDHWrVuH27dv44knnsCvv/6KzEz7JDNCCPlirvG9OS9HW7duHWJiYpCcnIwdO3Zg4sSJFtcxbdo0aLVaqFQq/P333xg+fDiCg4NRr149zJo1C0uXLgVQ8ITxDz/8UGx747L//e9/GDhwIGrWrIlXX30VkydPBgB8//33xbYRQmDChAnIy8vDokWL4OXlZXHcjubi4gIPDw9UqVIFnp6ekCQJ+fn5yMjIQEpKCrKzs2EwGJCXlweNRoOEhARkZWU5xXFDVJFy8wxYvOtKmeVGf38c72/8B7l59h3Knh4cBoMBWVlZSEhIkL93hRAwGAzQarVIS0tDRkYG8vPz5Tvv/f394ePjw+GLiYiIiIgqEaVSCT8/P7h7ekLr4OdM6lX1LHV9/YDS11eU5Gw99Pm85kRERFRZOM2Ts/Xq1QNQ8GTilStXMHToUEiShICAgFKHF5YkCTExMVa3u2fPHqu3dbTBgweXa/tz585h3759AIDRo0ejefPmxcq8+uqr+OKLL3Dp0iV8+eWXReaxzcjIwI0bNwAA/fr1K7LdgAEDsGDBApw9e7ZYncuXL8fhw4fRt29fDBw4sFz74GiSJMlDGhuHzTR2GGRnZ0OlUsHDwwOurq5IT09HZmYmPDw8oFar4erqNH9+RDaRm2fAKz+ewL7LiWaVX3P0Jm6n5uDbEW2gcnWae4XIyen1enn+KeM89QaDQZ5LNjc3Vy4rSZI8egE7Y4mIiIiIKi9JkuChVgOZju2A9HYr/VpOWeuJiIiIACfqnDV28hkZn05NSEgodbvyXmwNCwsr1/aV2aZNm+T3Q4cOLbHckCFDMHfuXJw6dQq3bt1CSEgIgILOWaP756MNCgoqVgYAEhIS8O6778LDwwNLliwp9z44C4VCAU9PT3h4eECn0yE7Oxv5+fnyvCju7u7w9Cy4e1Kj0UCj0cDd3R2+vr4c7picTnqOHvcytBZvt3jXFbM7Zo32XU7EtF/OYMpTDS3aLsjHHb5qpUXbUOVmHMosJydHXpafny/fGFN4ZAIXFxe4u7vD3d292HD8RERERERUOblIgLcroHHgLGMaXR583Us+F9VoHRNcVQ8llC68IZWIiKiycJrOWVPzklLFOnHiBICCjsV27dqVWK5jx47y+5MnT8qds4XnBU5KSkLNmjXl/09MTCxWBgDeeustpKam4uOPP0adOnXKvQ/ORpIkuUNAr9cjJydHnptWp9NBpVLB3d0dKpVKXubj48OnusgpnLiRgpmbohB9V2OT+lQuCoR3rI0hbUJQp6onbiRnYd2JW/j+UCxy8/8dzvivf+Lx1z/xFtUtSUDjIG/8b0AzPF7b3ybxkvMRQkCr1SI7Oxs6nU5ertPpkJOTA71eLy9zdXWFm5sb3NzceNOLma5du4YTJ07g+PHjOHHiBE6ePAmNpuDvPzIysshoGebUtXDhQmzduhVxcXFQq9Vo3Lgxhg0bhgkTJkCpLPkCVlpaGiIiIrB+/XokJCQgJCQEI0eOxDvvvAM3N9PzeQFAZmYmmjZtijt37uDEiRNo1aqV2fESERERUeUjSRLqeAFRacJh885eS87CYzX9Slwfk5xlv2D+P4UEtAj25XUlIiKiSsRpOmcjIyMdHcJDJzo6GgBQo0YNqNXqEssZh5wGgIsXL2LAgAEACjpea9eujdjYWGzbtg1jx46Vy23ZsgUA0KJFC3nZnj17sHr1ajRr1gzTpk2z5a4Uk5CQIHcQm+vq1as2jUGpVEKpVCI3NxdZWVnIy8uTn6R1cXGBt7c3lEqlPNyxWq2GWq0u9QI2UUU5cCURY74/brM5alQuCqx7tT0ee6SKvKxBoDfe79MUvZsFY+jyI0U6aC0lBBB9V4Oh3x7ByvAn0KVhNVuETU4iLy8PWVlZyMnJkYcuFkIgNzcX2dnZyMv79250lUoFtVoNlUrlqHArrfr169ukng0bNmDEiBHIyvr3QlROTg4OHz6Mw4cPY+XKldi+fXuxUTYAIDs7G2FhYTh37py8LCYmBhERETh69Cj++uuvEi8yRURE4NatW3jzzTedsmM2KysLer2ev+tETi4uNQeNgrwdHQYREZnJ301CyyrAFY1AlgMeUr2cmIkQPzUCPIvfRJiUpcOVpEy7xuPnrkSbED9U8yr5pkYiIiJyPk7TOUv2Z+y8NA5BXJLC65OSkoqs+3/s3Xd8VGX2P/DPvXOnl/SQAKF3EFFAxRLsdRV1QUEU7AqrK7LuiiKw6yKC+l0ERBBdQXZR0F2VZWVV5CcWQKo0KRKKBEjPJNPbnfv7Iz4Pd9Jm0ifJeb9eeZHMrQNh7r3Pec4548ePx5w5c/D888+ja9euuOiii/C///0PCxYsAADce++9AIBAIIBJkyZBEAQsWbKkyQcq33zzTfzlL39p0mPESqfTQafTIRgM8mxZWZZRVlbGeyECFRlALpcLWq0WJpOJsmlJs1EUBa99eaTRArMAMPHSrhGBWbULuyRhwoiueOf7Ew0+TlBW8NqXP+PyXqn0/6UNYJNZ1KWLw+EwfD4ffD4fZFkGcK6XrMFgoCzZRpCcnIyhQ4ciKSkJH374YZ223b17N+655x74fD6kp6fjb3/7G66++mp4vV6sWrUKL774Ivbs2YNRo0Zh8+bNVcpMz5s3D/v27UNiYiL+/ve/4+KLL8Znn32GJ598EuvXr8fKlSurra6yb98+LFy4EJ07d8aLL77YoPffVNxuN4qKiqDT6WCz2WgCASHNLBAKY+HGo1HXe+C9HRh/cRfM+s1A6CQqhU8IIa1Bgk7AsBQBobAC/69zfismcwbh9XoQDlc820oaDYymc5PgBQgwmowwm8wxPz+6AiF8e7yE/xxWgI1Hi9A71YKeqWZY9RKcvhCOlbhxtNiFcKXH6pE9UmDWNc3wq1GroWsXIYQQ0kq1++Ds1VdfXa/tBEHAxo0bG/lsmpfLVTGbz2Aw1LqeOquWbcNMmzYNn3zyCQ4dOoTrrrsuYtm1116LBx54AEDF4OuRI0fw4IMP4vLLLwdQUZZy1apV+OGHHyDLMs4//3zcf//9VUohtxUsk9ZsNsPtdsPn88Hr9cLr9UKv18NgMECr1SIYDPJsWhakpeADaUoOXwh7T5c36j7vHpZV6/Kxw7MaJTgLAHtPl8HhC1EP2lZIURReojgQCPDgK1ARqGWvM6IowmAwwGg0Ui/ZRrBmzRoMGzaMV8jYtGlTnYOzU6dOhc/ng06nw1dffYXzzjuPL5sxYwY6dOiAxx57DD/88ANWrlxZpVTyypUrAQAvvfQS7rzzTgDAo48+isOHD2P+/Pl47733qgRnFUXB448/jlAohAULFsBisdT1rTeLYDCIcDiMQCCA4uJi6PV62Gw2yqQlpBkEQmE88o+d+Obn2CrprNp2CqftXrx93zAa5CaEkFZEEgWc+9gWAK0eYaOWj7UoYRlBVwCiXg+z2VwxthLwIqiEkJiYGNN9WYJRi16pZuQUn6sSE1aAI0UuHCmqPUu2V6oZHRNqrlRHCCGEkPar3QdnN23aBEEQoCg1Z4ypZ9Ox9dpShla091LbcqvViu+++w6zZs3CJ598gqKiImRlZWH8+PF4/vnnIYoijh07hjlz5iA1NRWvvPIKAODMmTO49tpreWllZt68ediwYQMGDBjQ8DcWp0RRhNVqhV6vr1LuWBRF6PV6nk3rdDrhdDphNpthtVopGEFajW4p5lqXd42ynLRdiqIgFArB5/PB5XJFXH9ZIMvr9UaULtZqtTAYDNDr9W3q+tvS7rrrrgZtv2/fPnzzzTcAgAceeCAiMMs8+uij+Nvf/oYjR45g0aJFEcFZh8OBkydPAgBuvfXWiO1uv/12zJ8/H3v37q2yz2XLlmHr1q245ZZbeEA3HjmdTtjtdpjNZhgMBvj9fhQVFfHeyAaDAZLU7m/FCYlQ7g2iwOFr8H4Wbjwac2CW+ebnIkz9cA9+f03vBh27g81AE8YIIaQFiaIIs9kMo9EIj8cDr9fLx1z0ej0sFguCwSCKiopgNBphs9miToi/sFMi3P4Q8pz+mM8j06rHhbX0piWEEEJI+xa3I0LHjh3DkSNHUFZWFjFAW50JEybU+zjZ2dm1DvSGQiGcOXOGDx527ty50Xq0tTSLxQK73R5RPrI66uXVZaekpKTgjTfewBtvvFHt9r/73e/g8/mwZMkSpKSkAAAmTpyIw4cP46abbsLixYuh1+vxwgsvYPny5Rg9ejT279/foGzRyZMnY8yYMXXaJicnh/fTbQ6s3DELUvj9foTDYT7Dk2WHSZLEM20tFguVOyaNzmaQcH7nhEbNnj1Z4kav9Jr7t51UzTpuqPM7J8JmiNvLGflVdX1kgXNliwOBAEKhUMQkKPY5SNUD4tPatWv592PHjq1xvbvvvhsvvvgidu/ejdzcXGRlVWTWOxwOvk7lfrSspYJ6HaCip/xzzz0Hk8lU431HPAmHw3A6nfB4PDCbzdDr9Xxw0OFwQKPR8L7J0SqZENKW7TxZihfWHsDhfGeT7F+nETHx0q64e1gWuqWYcbLEjTU7c/Hell8QkM9dk/67Pw//3Z/XoGMJAtC3gxUv3T4IQ7smN/TUSRvBWtxYrdTfmJDmIooiLBYLDAYD3G43AoEA/H4/gsEgLBYL9Ho9vF4v/79pMplqnBCvEQVc0SMVP/xSilNltY+hARUZsxd2SoRGpLEbQgghhFQv7kaz//73v+Pll1/GiROxlbsUBKFBwdlNmzbFtN7hw4fx+9//Hps3b8bChQubNYjXVFJTU2G321FYWFjregUFBfx7FlyN1Zo1a/DFF18gOzubZ8scOHAAGzduhNlsxqpVq5CUVNGXctmyZdiwYQMOHTqEzz//HLfcckvd3pBKenp6lYHeeCVJEiwWC8xmM4LBIDweD394Z6UiWVC8vLwcbrcbFosFRqORgrSkUQiCgGeu74sH39vRaH1n1+zMxfSba86AX7Mzt1GOo9UI+OMNfen/QpwKh8N8tnowGIx4XZZlPotdTaPRwGAwwGAwULWAOLdz504AFQNfF198cY3rXXrppfz7Xbt28eCsuo1BcXExOnXqxH8uKiqqsg4A/OEPf4DdbsfcuXPRrVu3Br+HpmQymWA2m+HxeCDLMg/G6vV6aLVa6HQ6/v/A6/VCq9XCZrNBr9e39KkT0qy+O1rUqPcglek0ItY8egku6JLEX+uVbsX0mwfgpkGZGLvsh4gAbUMpCnA434mxb/+AdycOxxW90xpt36T18fl8cDqd/D6orQRnjx8/jp07d2LHjh3YuXMndu3aBaezYnLF8uXLq7QxiLav119/Hf/73/9w5swZGI1G9O3bF+PGjcPjjz9ea9nZsrIyzJo1Cx9//DEKCwuRlZWFCRMm4Nlnn631eupyuTBgwACcPXsWO3fuxJAhQ2I+X9L6SJKEhIQEhEIhOBwOfl/G2k5ptVo4HA54PB4kJyfXWNlEIwoYlGGLGpwd2SOFShkTQgghJKq4Cs5OmTIFixYtqrXEcEvp168f1q9fjyuvvBL33nsvdu/ejT59+rT0aTVIv379cPToUZw9exY+n6/GjI3jx4/z7/v37x/z/h0OB55++mlotVosWbKEv75582YAwIgRI3hgFqi4Yb7++uvx7rvvYsuWLQ0KzrZGgiDwbFoWpA0EAggEArDb7TAYDDCZTAiFQigrK4PL5YLVao3oCUxIfV3ROw2rH7kE0z89gCMFTjT0Y/i9Lb/g5kGZEQOhzO5Tdqzc+kuD9k9ZKfEtGAzC6/XC4/FEZMkGAgFeKUBNq9XygBWVeW09WGuCjh071notYj1tAeDQoUN8gpvNZkPXrl3xyy+/4PPPP8dDDz3E11u/fj0AYPDgwfy1r7/+Gv/85z8xaNAgTJ06tTHfShWFhYU8QByrnJycKq+ZTCYYjUb+/0GWZXg8HgAV133Wj95gMCAYDKKkpAR6vR5WqxU6na5R3gsh8UxRFLz25ZEmC8wCwMRLu1Z7PwIAF3ZJwoQRXfHO97FNDK6LoKzgtS9/xuW9UmkSWTujKAo8Hg9vYcNeU09Ua+0aq5rYJ598gvvuuw9u97mqOl6vF1u3bsXWrVvx7rvv4osvvqh24rXH48HIkSOxb98+/tqxY8cwa9YsbNu2Df/9739r/L83a9Ys5Obm4umnn6bAbDsiSRKSkpIiJo+WlZXBYDDAbDYjFAqhqKgIZrMZFoul3hNFzTp6niGEEEJIdHFzx7Bp0yYsXLgQgiDg2WefxYQJEzBw4EAIgoB9+/YhGAxi//79+Mc//oGvvvoKgwYNwvLly5Gamtps5yhJEqZPn45bbrkFr7zyCt55551mO3ZTGDZsGNatWwdZlrF9+3ZkZ2dXu96WLVv490OHDo15/9OnT0deXh6ee+65iB6yxcXFAFDtvx176KrrgGhbo9Vq+cxOl8vFAx1+v5+X+QyFQrDb7XA6nbxUT1vLMjNqo5cyjWUdEpuhXZPx+VPZ9er3dtruwYPv7eQ/B+Qw7l72AyaM6Iqxw7PQNcWMk8UVJQRXbv2lSobK8onD0Skp9okG1M8t/siyDJ/Px7P/1a+zySbqQK0oitBqtTAajbVmRJD4xa7VrARxTdTL2T0AM378eMyZMwfPP/88unbtiosuugj/+9//sGDBAgDAvffeC6AisD9p0iQIgoAlS5Y0+e/Mm2++ib/85S+Nsi9BEHiQlpXS8/v9UBSFT8Lyer0wmUy8N63f74dWq+WVMghpqxy+UKO2VajO3cOyal0+dnhWkwRnAWDv6TI4fCG6Z2lHfD4fysvLIcsygHPtG6K1EmqtkpOTMXToUCQlJeHDDz+s07a7d+/GPffcA5/Ph/T0dPztb3/D1VdfDa/Xi1WrVuHFF1/Enj17MGrUKGzevLnKs+68efOwb98+JCYm4u9//zsuvvhifPbZZ3jyySexfv16rFy5EhMnTqxy3H379mHhwoXo3LkzXnzxxQa9f9L6CIIAs9nMSx37/X7eYoVNjnO5XPD5fEhMTKTJcoQQQghpMnETnF22bBkA4Le//S1efvnliGXdu3eHyWTCkCFDcN9992HFihV45JFH8Mgjj+CHH35o1vMcNmwYAGDDhg3NetymcPvtt2PWrFkAgA8++KDG4Cx7yLrwwgvRpUuXmPa9a9cuvPnmm+jevTtmzJgRsYwNMlZXTpmVUKaByAqSJCExMRGBQAAul4sHOdSDuCyTVhRFPvjbVgIdOklEokGLMl/1s8wTDVropLYVkI4HCUZtnQcR+3SwYvzFXbBq2yn+WkAO453vT0Qd8Bx/cRdc1a91lCEnkdQDjupsWBZ0YkEmhvWRNRgMlCHbBrhcLgCI2itVfU1n2zDTpk3DJ598gkOHDuG6666LWHbttdfigQceAFAxAHvkyBE8+OCDuPzyywEAfr8fq1atwg8//ABZlnH++efj/vvvr1IKOV6of/8tFgtkWeaTr2RZhsvlgtfr5eX1gsEg7HY73G43rFYrlTsmpJ66pZhrXd41ynJCYuHxeOB0OiOCsh6PBz6fj1cGa0sTadesWYNhw4bx6hibNm2qc3B26tSpvI3PV199hfPOO48vmzFjBjp06IDHHnsMP/zwA1auXFmlVPLKlSsBAC+99BLuvPNOAMCjjz6Kw4cPY/78+XjvvfeqBGcVRcHjjz+OUCiEBQsW8PZBpP3RaDSw2WwIBAI8y728vBx6vR4WiwWhUAjFxcW8zVS0+11CCCGEkLqKm6eDrVu3QhAEPPLII1WWVS5zfP/99+PJJ5/E3r17sWjRouY6RQDgWT/qPqyt1eDBg3lAdvny5fjpp5+qrPPOO+/g0KFDAIAnnngipv2Gw2E89thjCIfDWLx4cZVA68CBAwFU/JurM2iCwSC++OKLiHVIBZ1Oh6SkJNhsNkiSBEVR4Ha7+aCtLMsIh8NwuVwoKipCSUkJL6HV2g3LSoRYTTUqUahYRuLHrN8MxMg+deurNrJPGmb9hv6/tzY+nw92ux0FBQUoKyvjAViW7V9aWgqHw8FfZ9UAUlJSYLFYKDDbxkQr11nbcqvViu+++w6/+93v0LFjR2i1WvTo0QMzZszAunXrIIoijh07hjlz5iA1NRWvvPIKAODMmTMYMmQIHnroIbz99tt499138dRTT6F///44ePBgo76/piAIAiRJgtFoRFJSEi+dx3qg2e12XhY8EAigpKQExcXF8Hg8cdn+g5D6shkknN85oUmPcbLEXfvy4tqXN8T5nRNhM9A1ry3zer0oLCxEWVkZfybzeDwoLS2F1+tts5/Zd911V0Tbgrrat28fvvnmGwDAAw88EBGYZR599FH07dsXAKqM+zgcDpw8eRIAcOutt0YsY+0T9u7dW2Wfy5Ytw9atW3HLLbfwgC5p33Q6HRITE2EwGCAIAvx+P+x2O59YEQgEUFpaitLSUj75gpDW6oy9bVZxIISQ1ipugrMs2Knu48oG8yr3pgMqbuAVRanz7MyG+vzzzwEAiYmJzXrc6hw7dgw//PAD/1IPRta2TG3+/Pm8hN4111yD999/H/n5+Thx4gReeuklTJo0CQBwySWXVFsSqDqLFy/Grl27MHr0aNx0001Vll911VXIyMiA1+vFmDFjsH//fhw9ehQTJkzA2bNnYTQa6UGpGoIgQK/X8yCtRqOJePh3OBwIBAJQFAV+vx+FhYU8cNKa+xulWfTI7pGKFNO5TM4UkxYje6QizUJZRPFEJ4l4+75h+M15mTGtP/7iLnj7vmGU/dxKKIoCr9eLoqKiiAHHUCgEt9uN0tJS2O12eL1ehMNhiKLIA0+sJBj13GtbWLZJtFKN6uXVZaikpKTgjTfewJkzZxAIBHDs2DG8+OKLPEPhd7/7HXw+H1599VWkpKQAACZOnIjDhw/jpptuwvHjx3HmzBk88MADOHv2LEaPHt3gwbPJkyfjwIEDdfr69NNP63UsQRBgNBqRnJwMk8kEURQRDof5JCz2fy0QCKCsrAxFRUXw+epWep6QeCUIAp65vi+0mqa7PqzZmdug5fWl1Qj44w196drXBqnviex2O0KhEP/cLi0thdvthqIofHJaUlL1PY/bs7Vr1/Lvx44dW+N6d999N4CKEsi5uef+rzocDv595X60rJ2Ceh2gonLXc889B5PJhDfeeKP+J0/aHEEQYLVakZiYCEmSEA6H4XQ6UVpayifG+Xw+FBQUoLzS7xUh8SAQCmPhxqNR13vgvR2Y/ul+BELhqOsSQghpenEzjZfNKFWXorNYLHC5XCgsLERycnLE+p06dQIA5OTkNNs5fvrpp3j66achCAIuu+yyZjtuTf7617/ivffeq3bZ7NmzMXv2bP7zyJEjsWnTpirrXXjhhXj//fdx3333oaCgAOPHj6+yzpAhQ7B27dqYyjDl5eXhhRdegNVq5f3iKtPpdFi2bBnuvPNObNq0CYMHD45Y/vrrrzdrL+HWSK/XQ6fT8T51rH+d3++HRqOBxWKBTqfjZZA9Hg+MRiOsVmurzFjLtBmQYdUjKFd8Tmg1Ag10xSmdJOL31/TGf/fn1bre8onDqZRxK8E+Z9QZe6ycsd/vj8jSFwQhoo8s/T9t21JTU2G326ttU6CmrjbCgquxWrNmDb744gtkZ2fzcoYHDhzAxo0bYTabsWrVKj7ovWzZMmzYsAGHDh3C559/jltuuaVub0glPT29ymBvU2M90EwmE/x+PzweT0S5Y71ez3vOl5aWQq/X895ohLRmV/ROw+pHLsH0Tw/gSIETjZ1o+N6WX3DzoExc0KVqgGz3KTtWbv2lUY8nCEDfDla8dPsgDO2aHH0D0mqweyKfz1elp6z6Pkmj0fAWNADaTEWjxrRz504AFaWeL7744hrXu/TSS/n3u3btQlZWRQ9p9bhRcXExHx8CgKKioirrAMAf/vAH2O12zJ07F926dWvweyBtD2sr5fV6+YRTt9sNn8/Hx1j8fpogR+JLIBTGI//YiW9+Lopp/VXbTuG03UsT5QkhJA7ETZSmQ4cOyM3NRUFBAR9ky8rKwqFDh7Bnzx7069cvYn1Wwsbj8TTouFdffXXUdbxeL44ePQq73Q5FUSBJEp599tkGHTee3HHHHdi3bx/mz5+Pzz//HKdPn4bRaETfvn0xbtw4TJo0KeYeplOmTIHD4cDrr7+Ojh071rjerbfeio0bN+LFF1/Etm3bIMsyhgwZgmnTpuG2225rrLfWprFMWr1ej1AoxAMlsiyjvLwcGo0GGo0GRqMROp2OP2BYrVZYLJZWFzQRBAE6qXWdM6lZpyTqKx3P1H3SAoEAf12WZfj9fj5YAZwLyBoMBsqObWf69euHo0eP4uzZs/D5fDX24jp+/Dj/vn///jHv3+Fw4Omnn4ZWq8WSJUv465s3bwYAjBgxIiIbSZIkXH/99Xj33XexZcuWBgVnWxLrTavX6/mAP5ts5fP5YDQaYTQa+aQsNiHCaDRCo9G09OkTUi9Duybj86eyUe4NosDRsIHv03YPHnxvJ/85IIdx97IfMGFEV4wdnoWuKWacLHZjzc5crNz6CwJyZPbI8onDG3Sf0sFmQIIxtmcnEv9Ylqzb7Y6oRsSCsup7IkmSYDKZqEd4DA4fPgwA6NixY5U2SGrq0smHDh3iJYttNhu6du2KX375BZ9//jkeeughvt769esBIGIS+Ndff41//vOfGDRoEKZOndqYb6WKwsJCHiCOVXMmHZDaCYIAk8nE77VYG6ny8nJIkgSN0Yo4KkJI6qEx7jXiycKNR2MOzDLf/FyEqR/uwe+v6d1EZ9X86P6LENIaxU1w9vzzz0dubi7Onj3LA7EXX3wxDh48iLfeeqtKqZvXXnsNANClS5cGHXfTpk0QBCHmXjAJCQl45513cNFFFzXouI1hxYoVWLFiRaPsq0ePHo3Sv3fNmjVYs2ZNTOtmZ2fjq6++avAxScVAgMVigclk4oO3sixDlmUEAgFIkgSz2QydTgen0wmPxwOLxQKDwUADuYQQLhgM8gFI9XXR7/dXCdSyyR96vT6mygqk7Rk2bBjWrVsHWZaxfft23se+si1btvDvhw4dGvP+p0+fjry8PDz33HMYMGAAf531q6+uygbLdq3roGg8YuWOWfsJr9fLy4izIK3BYEAwGEQwGITD4YBWq+UTtyg4QFqjBKO2wQNrfTpYMf7iLli17RR/LSCH8c73J/DO9ydq3Xb8xV2osgcBcG6imsvl4sFX1j4mEAjwdjJAxT0Re9aiSWqxYddpVoK4Jurl7PrPjB8/HnPmzMHzzz+Prl274qKLLsL//vc/XsHr3nvvBVCR8Txp0iQIgoAlS5bEPPG8vt5880385S9/adJjkKbHJsvpdDo+xhIKheB2OgE0ba900jR2nizFC2sP4HC+s6VPpUnpNCImXtoVdw/LQrcUM06WVExIe29L5IS0/+7Pi1rxrDWhyiWEkNYoboKzN9xwA/773/9i+/btPJt14sSJWL58Ob799ltcccUVuOuuuyDLMv7zn//gm2++gSAIuOOOOxp03Ozs7FofoNjAWGZmJi655BKMGTMGCQl0I0bikyiKPEjLMtzYQ0R5eTn0ej3v91deXg6HwwGDwcAHEwgh7U8wGEQgEIDH44nICGEZ+YFAIKJ/J8uS1ev1NADZzt1+++2YNWsWAOCDDz6oMTj74YcfAqhopRDrpLpdu3bhzTffRPfu3TFjxoyIZSzDprpyyqyEcm1ZOK2NOpNWncHhcrng8Xh4qwOdTscDtS6XCzqdDgaDgfexJW2PURt9gl0s67RFs34zEKft3jplkozsk4ZZvxnYhGdFWoPqgrLhcJiXM2avARUTZNlENbonqhuXywUANVbdYNTXc7YNM23aNHzyySc4dOgQrrvuuohl1157LR544AEAwLx583DkyBE8+OCDuPzyywFUTDxctWoVfvjhB8iyjPPPPx/3339/lVLIhKjHWJxOJ3x+OfpGJO58d7QID763g7fKaqt0GhFrHr0kopVDr3Qrpt88ADcNysTYZT9UqRjSVigKcDjfibFv/4B3Jw7HFb3TWvqUCCEkqrgJzt5666144okn8NFHH2HatGkAKgKnDz74IC9Pp868UBQFvXv3xnPPPdeg41bXh5WQ1k4URYiiCK1Wy7NpvV4vn+nNBhEkSeLljg0GA6xWa5PPJCaEtCyWUc9KoasHGRVFQSgU4p8XjDqDj7LtCTN48GBkZ2fj22+/xfLly/HEE09g4MDIwMY777yDQ4cOAQCeeOKJmPYbDofx2GOPIRwOY/HixVUCrewYW7duRXFxMc+gDQaD+OKLLyLWaUvUQVp1z0N2HWfXfZ1OB71ezzO72EQs1iuNtB06SUSiQYsyX7Da5YkGbbvtJaaTRLx93zBM/XBPTFkh4y/uglm/Gdhu/75Ixf2R2+2OqB6iLinPaDQaPimGnpsaLlpQu7blVqsV3333HWbNmoVPPvkERUVFyMrKwvjx4/H8889DFEUcO3YMc+bMQWpqKl555RUAwJkzZ3Dttdfy0srMvHnzsGHDhohqHYQwoigiISEBIZcPcNe+bjAUAkCfD/FCURS89uWRNh+YBYCJl3aNCMyqXdglCRNGdI1aRaS1C8oKXvvyZ1zeK5UmThFC4l7cBGezsrIQCoWqvL5s2TL06dMHb775Jk6dqihNZbFYMHr0aLzyyiuUxUpIFGymp16vh8vlQigUgsfjgcfjiciA8/l88Pl80Gq1vOQx3cgQ0nYEAgG43W54vd6I1xVF4dl2lTNCWGlUKtPXNh07diyi/O/Bgwcjlv3www/8Z5vNVu1g5fz583HZZZfB5/Phmmuuwd/+9jdcffXV8Hq9eP/99/HnP/8ZAHDJJZdg4sSJMZ3X4sWLsWvXLowePRo33XRTleVXXXUVMjIykJ+fjzFjxmDhwoUwGAyYOXMmzp49C6PRiDvvvDPWv4ZWR90Ljf2/DQQCCIfDvA+tx+PhmbOSJPFrvE6n4/1pKZu2bRiWlYj/l1OEcKXxRlGoWNae6SQRv7+md9Tg7PKJw6mUcTvF+smyakO1BWVZf2+6J2ocFosFdru9yn1pZerlrAKUWkpKCt544w288cYb1W7/u9/9Dj6fD0uWLEFKSgqAigpthw8fxk033YTFixdDr9fjhRdewPLlyzF69Gjs37+/QZMRJ0+ejDFjxtRpm5ycHN5Pl8Q3g0EPuGsP8tntpRCDRthsNkhS3Ay7tlsOXwh7T5e39Gk0i7uHZdW6fOzwrDYfnAWAvafL4PCFqActISTuxdVdQnWDRKIo4k9/+hP+9Kc/wW63w+/3Iz09nQaUCKkjrVaLxMREBAIBPnjLAjIej4eXNg4Gg7Db7QAqykyxbDkahCCkdfL5fHA6nVVKFrPPAlmWI/rLCoIAnU4Hk8lEgwlt3F//+le899571S6bPXs2Zs+ezX8eOXJktdVGLrzwQrz//vu47777UFBQgPHjx1dZZ8iQIVi7dm1M9255eXl44YUXYLVaec+4ynQ6HZYtW4Y777wTmzZtwuDBgyOWv/7669X2o21r2P9VnU5XZZKFOqNWo9HAZDJFZNM6nU5YrVYK0rYBaRY9snukYn9eOUo8FZ/zKSYtBmcmIM1CfYdj0Smp7ZRBJ7EJBoN8wpr6HigYDFapHsLuiShLtnGlpqbCbrdX26JAjbUrAMCDq7Fas2YNvvjiC2RnZ+P+++8HABw4cAAbN26E2WzGqlWrkJRUkWG2bNkybNiwAYcOHcLnn3+OW265pW5vSCU9PR3p6TTho71jE+MSEhJgMploPIU0i24p5lqXd42ynBBCSPNqVaOu7Ma5JYXDYXz//fcAUGNvNULilSAIPBOO9aT1er2QZRkOhwOiKPJgrCiK/IFCFEWYzWaYzWYaxCUkzrFeaazftLpfWiAQgNfrrVKpQhRFSJIEg8FAGSGkzu644w7s27cP8+fPx+eff47Tp0/DaDSib9++GDduHCZNmhTzoPaUKVPgcDjw+uuvo2PHjjWud+utt2Ljxo148cUXsW3bNsiyjCFDhmDatGm47bbbGuuttRrqQK3JZIqYiCXLMpxOJ9xuN/R6PS8Tre49Tz0TW7dMmwEZVj0v16fVCPRvSUgliqLA5/PB7XYjEAjw19kzUSAQiJjIRkHZptWvXz8cPXoUZ8+ehc/nq7H37PHjx/n3/fv3j3n/DocDTz/9NLRaLZYsWcJf37x5MwBgxIgREeNLkiTh+uuv5y21GhKcJaS8vBxaqwk6nQ7l5eVwu91ISEiAXk+TplqCzSDh/M4J7SJ79mSJG73SrTUvL45Sk7uNOL9zImyGVhXyIIS0U+3qk4r14XQ4HDCZTFWWB4NBPPvssxAEAf/3f/9X7T68Xi+uvPJKiKJYbRlmQloLlkljMBh477pwOMx7LWk0GhgMBv6g7HQ64XQ6eR9bmv1JSPxQFAV+vx9utzsi2wOoCMr6fD54vV4eqBUEAVqtlvenpAzZ9mnFihVYsWJFo+yrR48eWLRoUYP3s2bNGqxZsyamdbOzs/HVV181+JhtjXoiVuX//yyblpU21mg0ERm2LJuWru+tjyAI0En070ZIZernG3YfpCgKn7CmDsgCFS0dqHpI0xs2bBjWrVsHWZaxffv2Gie+b9myhX8/dOjQmPc/ffp05OXl4bnnnotoy1BcXAwA1VbYYNmu6pYPhFSmjzpXXYEoh1BeXs7bUIRCIZSUlMBgMCAhIaFBZbNJ3QmCgGeu74sH39vR5vvOrtmZi+k319w3e83O3GY8m5ah1Qj44w196XmGENIqtLsUOHXZosoCgQBef/11vP766w3aDyGtCcuKTU5OhtVq5QMRsizD7XajpKQEDocDsiwDqJjEUF5ejqKioipBIEJI8wqFQnC73SgsLERpaSn/PxkKheB0OlFWVobS0lI+IKnRaPj/d1ZiiwYfCWm7RFGEyWRCcnIybDYbdDodgIrJhqWlpbDb7fB4PAiHw5BlGWVlZSgoKEB5eXmVgAUhhLQmwWAQTqcThYWFcDqdCIfDvLqI3W6Hw+Hgn3NarRYWi4V/VtK9UdNT91f94IMPalzvww8/BFDRRqFLly4x7XvXrl1488030b17d8yYMSNiGaseUV05ZVZCma1DSHUkUYC5lo8Is0aA2ViRIcs+b1jvZJ/Ph8LCQrjdbhpTbGZX9E7D6kcuQb8MK9pyzO69Lb/gx1P2apftPmXHyq2/NPMZNR9BAPplWLH6kUtwea+23+KGENI2xN1Tx6ZNm/D3v/8d27ZtQ15eHjweT63rC4JAGayENAJBEHimbDgcjuhLy0p9iaLIS3yx2Z9arRZWq7XGUlSEkMYjyzJ8Ph8CgQBCoVBE8ISVLfZ4PHwyBSNJEpUtJaQdU2fTqrPFQqEQQqEQPB4Pr6YBgGeZSZIEnU7HPz8IISSeqasFqCeRskmn6tdEUeRl3altS/MbPHgwsrOz8e2332L58uV44oknMHDgwIh13nnnHRw6dAgA8MQTT8S033A4jMceewzhcBiLFy+uEmhlx9i6dSuKi4t5Bm0wGMQXX3wRsQ4hNeltFbDXrqByeFUA0NsmwKqzQqfTwePxIBQKweVywev1wmq1QqvV8tYSRqMRFouFJoQ0k6Fdk/H5U9ko9wZR4PC19Ok0itN2Dx58byf/OSCHcfeyHzBhRFeMHZ6FrilmnCx2Y83OXKzc+gsCcjhi++UTh6NTUtuYkNLBZkCCkVoREEJal7i5A1AUBb/73e/w1ltv8Z8JIS2D9Z41Go0IBoNwu90IBoOQZZkPdpjNZuh0OgSDQZSWlkKSJOj1epjNZnq4IKQRqXvIqnukMaFQiPeHVl879Xo9L1lM/ycJIQzrTcsmYrH+1Cwgy4KxWq02InjLBhCp/yIhJN4oigKv1wun08knqCmKgmAwCJ/PFxGU1Wq1MBgMNGGtgY4dOxZR/vfgwYMRy3744Qf+s81miygtzMyfPx+XXXYZfD4frrnmGvztb3/D1VdfDa/Xi/fffx9//vOfAQCXXHIJJk6cGNN5LV68GLt27cLo0aNx0003VVl+1VVXISMjA/n5+RgzZgwWLlwIg8GAmTNn4uzZszAajbjzzjtj/Wsg7VSCTsCgROCkS4Hz11wRqwR0twhI0FV8rrBnMa/XyyfPlpWVwWAwwGw2QxRFeDweeL1eJCYmUsZ2M0owattMEK9PByvGX9wFq7ad4q8F5DDe+f4E3vn+RK3bjr+4C67ql97Up0gIIaQWcTNau3TpUixduhQAYLVacd1116FXr150g0JIC9NqtUhMTIQsy3yAlpVMZUFcg8HAB3DdbjcsFgvMZjP1UiGknmRZRjAY5P2g1UHXYDCIQCCAcDjMJ00w6iw3ygIhhNRGPRGLTfBgny+sWgbrS83606v71ep0OvqcIYS0KPZs4vV6+f2QLMt84on6Hkmn09Ek0kb017/+Fe+99161y2bPno3Zs2fzn0eOHIlNmzZVWe/CCy/E+++/j/vuuw8FBQUYP358lXWGDBmCtWvXxnS9ycvLwwsvvACr1YoFCxZUu45Op8OyZctw5513YtOmTRg8eHDE8tdff73afrSEVJasF5CkA1gLU42AKhM+BEHglUlcLhf/bPL5fNBqtTCbzdBqtbDb7XA6nbBYLDCZTC3wbkhrNus3A3Ha7sU3P8feL3tknzTM+g1VCSCEkJYWN08my5YtA1AxK/K///0vkpOTW/iMCCFqGo0GGo2Gz/5kAx5utxsej4cP3up0OrhcLrjdbj6AS6UQCYmN3++H0+mskiHLsmMDgUCVksWCIECr1fJgCSGE1BVra8A+a/x+f0SLA6/XC5PJBL1ez4O0giDAaDTCarXSZCxCSLNiE0VZH0egotII+3xik9pEUYRer4fBYKCgbJy64447sG/fPsyfPx+ff/45Tp8+DaPRiL59+2LcuHGYNGlSzBUbpkyZAofDgddffx0dO3ascb1bb70VGzduxIsvvoht27ZBlmUMGTIE06ZNw2233dZYb420A4IgQIohAV8URdhstoiqZMFgEGVlZTCbzfwerKysDB6PBzabjZ7rSMx0koi37xuGqR/uwX/350Vdf/zFXTDrNwOhk2iSJSGEtLS4eUL5+eefIQgCXn/9dQrMEhLH2OxPo9EIv9/PS/SwAVy9Xs/LIXo8Hng8Hl7y2GQyUTlEQiqpLusDqMj8CAQCvPczIwgCdDodnzBBZfkIIY1FkiRe/YL1tWYVMxwOBzQaDZ8IotFo+GeX2WyG0WiEJEn0eUQIaTKsdHEoFOKvBQKBaksXs4mjlOHfNFasWIEVK1Y0yr569OiBRYsWNXg/a9aswZo1a2JaNzs7G1999VWDj0lIXairkrE+2G63G16vFwaDASaTCYFAAMXFxTAYDLDZbDSxhMREJ4n4/TW9owZnl08cTqWMCSEkjsTNVd5sNsPn86FPnz4tfSqEkBgIgsAzbVj5VRagZUFa1tNJXfKYPXRQOUTSnrHsDo/HExF4ZZlqlQO1QEXfIvb/iv7vEEKaEsvIZ9dxlo0myzJcLhcARJTjc7lccLlc/N6AetMSQhpLIBDgzxrqyiKBQAButzsiUCtJEsxmM2WcEULimkajgc1m48FZWZbh8Xjg9/t5pRI26YRNmqPnP9IYOiVR60BCCIkncROc7d+/P77//nsUFBQgMTGxpU+HEFIHbACXZQCqg7Qej4cP7up0Ot5jhQ3gWq1Wmg1K2jxFUfgkBVYWXI1lfQQCAV6KTxAE3kOWMj8IIS1FFEWeGcs+p1hWbVlZGS8ZyoKxLJCr1Wp5nzUqe0wIqQtZluHz+eByuSImqymKwjP21fdLbMIoPVMQQloTvV4PnU4XEaRlJdvZRBOn0wmPx8P70VKFEkIIIaTtiJunl4cffhjfffcdPvjgA/z5z39u0mPl5ubCaKw6W8jj8USswx74alqHEBJJkiTYbDaEQiEebFKXPJYkiQdpNRoNH8DV6XTUV4W0ScFgEE6nE36/v8o1pXJvR0aj0cBgMMBoNNLDNyEkboiiCJPJBJPJhHA4DLfbzT/DWDlRFpCVJAnBYBDl5eVwOBy8HQJd5wkhtQkEAvy+iQmHw3xCiN/v58FaFpQ1mUw0gY0Q0mqxzzK9Xs8rK4VCIZSXl0Ov18NisQAAysvL4Xa7YbVaqx3PJIQQQkjrEzfB2fvuuw+ffvop5s6di0GDBmH06NFNdqwBAwbUuIwNhHfr1q3Jjk9IWydJEiRJgtFoRCgUgt/vh8/nQygUiiiHyMobs74qer0eNpuNSiGSVotlyFZXai8cDiMcDkdMXGAo64MQ0pqIosgHB9WTTFhAVhRFnlErSRLcbjfcbjckSaJBRUJIBEVR4PP5ePUdhgVjfT5fxAQ3URRhsVig0+loEhshpM0QBIFXHKk8Ac5oNMJkMiEUCsFut8PlcsFqtcJgMLT0aRNCCCGkAeJqBPiDDz7AtGnTMHbsWFx66aW44YYb0LFjx6il0CZMmBDzMarLhiWENA11zzqTyQSv14tgMMhnv7MBXLPZDL1eD7/fj6KiImi1WlitVuj1ehp0Ia0C6xOrLrMHVFxzAoEAnwGtJggCL1ms1Wrpd50Q0upIkgSLxQKLxQJZlnn/edZX2+v1RvTLZoOKTqeTT9Cizz9C2h82eTMQCERUEFEUhbdFUU9i02g0vNUDPR8QQtoyNgGOBWlZz22/38+rKwWDQZSWlkKn0/FxE0IIIYS0PnEVnLXb7SgrK4MgCNi8eTM2b94cdRtBEGIOzs6aNauhp0gIqScWhAUqMgg9Hg98Ph/C4XBEHxWdTscfNjQaDS+FSNmEJN6ogw+BQCDidXVpb3WwlvWRZeW9qQwfIaSt0Gg0sFgsMJvNEX20WdaHOiMkFArB4XAAqLg/MBqNMJvNdK0npA0LhUL8/r/yhLVwOAyfzxdRWYRN8qSS6ISQ9kir1SIxMRGBQID332afoUajEQaDAYFAACUlJVSBjBBCCGml4mYEpKioCFdccQWOHTvWZNmtFJwlJD6wcmRms5n3VZFlGeXl5ZAkiZdCBACn0wmn08kDWiyoRUhLCQaDcLvdEVmyLNODZYGoiaLIf3ejVYIghJDWThAEni3LsuNYn0i32w2Px8Ov5SwYy8oe6/V6PuBIk1cIaf3C4TDPhFWXLGZtIILBIILBYMS9E5uwQZ8DhBAC6HQ6JCUl8bY57H5KHaRlFcgok5YQQghpXeImOPvSSy8hJycHADB+/HiMHTsWPXv2pJ5UhLRh6iwa9Ux6NrOelXyVJIn3q3W5XNBqtdDr9TyQSwEv0pRY4JVlgAWDQb5MXZZPnQUiiiK0Wi1NJiCEtGusB73ZbIbf7+eDiqzqAFAx6Mgy49RZtmazGSaTibJpCWllWBZsIBCo0u5BnVVfeUK2eiImlS0mhJBz2MQ3dq/EJre7XC54vV6YzWbodDqeSavT6WA2m+nzlBBCCIlzcTPasW7dOgiCgOeeew6zZ89u6dMhhDQjlklrMpng8/ng9/sjsm1Yb072QMJm2TNGo5Fn29IM+5bXwWaodbkgRF+npYXDYd7fh5XfZlgfWTa4yLDJBupsMEIIIRVYNi37/AwGgwiHwwgEAggEAtBoNPxartFo+IQso9EIi8VCpfoIiWOs1YPH44m4RwcAWZbh9/sjShYD58oWs97TdO9ECCG1EwQBBoMBer0ePp+PB2kdDgdvCcXutdi9FRtnoSAtIYQQEn/i5gno7NmzAICHH364hc+EENJSRFGEyWSCyWTi2YiBQICXRPP7/RBFkQe/JEmCVquNyMBhgzzsi7Jqm1+CUYt+GVYczndWu7xvBysSjPE5yO7z+eB2uyNK7wHgAQRWek8drGWZ3Hq9niYHEEJIFOz6DFRUH1D3mfR4PPB4PDxIq9Pp+DVer9fzahs0wEhIfAgGg/zeSX1vFAqF+H28OlirDizQhAtCCKkfQRD4BHU2mViWZTidTt4+grWJKi8vh8vlQkJCAn+NEEIIIfEhboKzaWlpOHPmDGw2W0ufCiEkDrBgFwA+uBMIBCDLMnw+H1+PlY7VarXQaDQ8q9btdgMANBpNRNYtzcpvHrNHDcK4d35AUI4sWafVCHjp9kEtdFZVsfKalbNggXMBWZbhpUZ9ZAkhpOEkSeIZHax0PPvT7/dDkiRekUA9SYsFd2hSDCHNj90bVW71wO6pgsFgRKsHQRB4yWK9Xk+TKwghpJGIosjbQLDJbKwnLQvSmkwmAEBpaSm0Wi2sVisFaQkhhJA4ETdRiuzsbHzwwQc4cOAAsrOzW/p0CCFxhGXZsHKywWAQsizzQCwbGGKBWI1Gw8ujVe5tJ0kSjEYjTCYTBdWa0LBuyXh34nC89uXP2Hu6DABwfudE/PGGvhjaNbllTw7gZaDUgX7gXJ80VlpbjZXclCQJOp2OBhcJIaSRqCe8qLNpQ6EQL9XHAjsAeIYty8JjZfwIIU3H7/fD6XRWmcymDtYyrGQxqy5C99yEENJ0WHsdo9EIv98Pr9eLUCjEJyGzZcFgEKWlpTAajbDZbPTZTAghhLSwuAnOPvPMM/jXv/6Fv/71r/jyyy9p0JsQUoUgCBEZtSyQxsr4sECsen1JknjWrCiKCIVCcDqdcDqd1MeuiV3ROw2X90qFw1cR5LQZpBb5bFf3NGRBV0U5l9EbDAZ5tpa6FxqAiIAAPbwSQkjTU2fT+ny+iCwQt9vN7wMkSYJGo+ETsFh/erPZTBkhhDQS1lrE7XbzoKyiKPy+ifWOZlhFG3bfTQghpPmwSWsGgwGBQID3AXe73fB6vTAajTAajTxoy8ZDqLoYIYQQ0jLi5go8ZMgQLF++HA8++CBuu+02vP766+jZs2dLnxYhJI6pe9SygaJQKMS/FEWJyKxlwV1WBpkN6LKyiSaTiQaSGpkgCM3eX1ZRFB6oZyX31MFYto560F+NBWQNBgP9PhBCSAth13iWBcJKzLPyxgAiSqWKosiXabVaWCwW6k9LSD2wyY9erxeBQIDfQymKwu+d1QFZdTCABvgJISQ+sOpjrGIUm+jm9/v5BHVWicRsNsNisdBkZEIIIaSZxc3T09VXXw0ASE1Nxfr167F+/Xr06NEDHTt2rPUGQRAEbNy4sblOkxASp9jAEMMCdKzUmizLPCDn8/mg1Wp5HztWNtHhcECSJD7r32g0tuA7IrEKhUI8e4N9XzkYGw6H+aB+KBSKCMiybCt1JhYhhJD4oA78sBJ9gUAA4XAYoVAILpcLLpeLV8owGAwIBoOw2+3QaDQ8S4SqZBBSM/WkNb/fH3EfJcsynyDB7p9YqwdWupgmQRBCSHxik9h8Ph/cbjdCoRDKysoixkNYj1qr1UoT1gkhhJBmFDfB2U2bNvGHOvYweOzYMRw7dqza9QVBgKIo9CBICKkWK2nMsmIB8LK2LJuyvLwcoijCaDRCp9NBkiSedev1emG323n5RDYAReJDMBjk5Zgq94ZVr8MyrSpnxwLg//aUIUsIIa2DJEmwWq0AqrY2UF+/2Wc7AB681Wq1vOQxfeYTUhF09Xg8fOKaOhtWlmXeR1Z9D8Uy2ikrnRBCWg9BEPiYB/vcZ+MhOp0OJpMJWq0WDocDTqeTZ9LS/RIhhBDStOImOJudnU0PeISQJsVK+xiNRv5QEg6HeR87jUYDjUYDnU7HB53U5RPVGbVUtq15qQcJK2d0qLOkFUVBIBCoNmDL/m11Oh3/tyaEENI6qVsbyLKMYDAYUbZP3Z9Wp9MhGAyirKyMtzgwm83Q6XT0/EHalVAoBLfbzdt+qO+n2IQHVo1ETavV8sx0+j9DCCGtk0aj4dmxbKJzIBBAIBCAwWCAyWSCRqOBy+WC2+2GwWDg90uEEEIIaXxxE13YtGlTS58CIaSdkCQJNpuN96lVZ1eyIB8rkajVaqHT6aDVavlAltPphCiKkCQJZrOZr0caD+sXzLKgWIC88nI267e6zFhBEPhgok6no5m/hBDSRrEJN3q9HoFAAB6PB6FQiE/oEUWRl/WTJIln3IqiCL1eD5PJBL1e39JvgzSBDjZDrcsFIfo6bQErAe7xeCJeZ1VGWOa5GpuUSPdQhDS/bdu2QVEUZGZmokOHDnSNIo1Ko9HAYrHAaDTyPrTs3ohNYNNoNLzPuF6vh8Viod9DQgghpJHFTXA2HhQWFuKjjz7C9u3bUVRUBL/fH9HP1ul0Ijc3F1qtFr17927BMyWENAZ1HzvWu44NUrGfWXBQnXWp1WoRDof5LFOgau8tml1aNyz7NRQK8Z5nlfvGsuA4K79XGStjzf4NRFGk7A5CCGlHWFasXq/n1xNWJcPj8cDj8UCSJB6oBcAHHjUaDS/XShOu2o4Eoxb9Mqw4nO+sdnnfDlYkGNvmvzebvMYG3hl2/8rue9XUk9qowgghLae8vBx79+7F3r17AQApKSnIyMhAZmYmMjIyeNseQhpCo9HAZrMhGAzyqgpsYhtrD6XX6/lrWq0WVquVt44ghBBCSMNQcPZXc+bMwUsvvQSfzwcA1fazdblcuOCCCxAOh3Hs2DF06dKlJU6VENIERFHkwVdWIjEUCvEBLFmW+QCuKIo8AKsuj6vORmBZm+pBYAoUVpTMY4Ft9nfMfq4cjA2Hw7xUJespqMYynti/Bf39EkIIYSRJgsVigdlsjug3zzIIWR9alhkIVEzEdDqdPEBlNBopUNsGzB41COPe+QFBOfI+Q6sR8NLtg1rorJoGawPhdrurTGRjWeXqgKwgCNDpdDyrnAKyhMSnkpISlJSU4KeffgIAJCQkIDMzkwdrWT92QupDq9UiMTGRl75nE3gcDgc0Gg2MRiP0ej2CwSBKS0uh1WphNpthMBioskIcoWohhBDS+lBwFsDTTz+NhQsXQlEUmM1m9OvXD7t27aqyXmZmJm6++Wb85z//wb///W88/fTTLXC2hJCmJggCz8I0GAy8/DEL1IbD4YhetGxgS525CZzLTPB4PNBoNDAYDNBoNFAUhe+7rQcU2d8TC8ZWV36YCYfDEdtUzuZgf8/qv2tCCCGkNpWrZLDSfSxrkF1rTCYTn+zDXmctDlhvWxqAbJ2GdUvGuxOH47Uvf8be02UAgPM7J+KPN/TF0K7JLXtyjYCV8GaZ4gybEBcMBuH1eiPuwVgwVq/XU0CWkFaovLwc5eXlOHz4MADAYrHwzNrMzEwkJCS0+edM0vgkSUJCQgLC4TCfmC7LMi+LbzQaYTQaEQwGUVZWBkEQYDKZYLFY6FoSB9pztRBCCGmtWmRk+9tvv+XfZ2dnV3mtrtg+6uO7777DggULIAgC/vSnP2HWrFmQZRk2m63a9W+99VasXbsWmzZtouAsIe2EemBXHahlwUb2mnpAjGUfsCAsALjd7ir7ZoFGlrXQmh9qWGli9vfDSklWtx7LmJVlOSKbtnL2LOvtS31jCSGENJQoinxgkWUYslYGrPoFu3az6w7LHHE4HNDpdDAajXyyFWk9ruidhst7pcLhq8gmtRmkVh24YBVdfD4fb7HBsLKUPp8v4r6K3c8ajUb6/SUkznXv3h02mw2FhYW1Tm5lXC4XcnJykJOTAwAwGo0RZZCTk5PpOYrETBRFmM1mmEwm3nKIlcn3er08k1aj0cDtdsPtdsNgMMBsNlNf2hbWnqqFEEJIW9Aiwdkrr7wSgiBAEARebom9VlfqfdTHm2++CQAYP3485s6dC6D6AAozdOhQAODlZAgh7Ys6UMuwDBtWBpkFH1kmg8fj4cFXoCKTQa/XQxTFiOxatn9WNpn1vdNoNHHxMM0GBkKhEA9MswAre7+VsYwN1veMZShVDsKqsSzj1h6sJoQQEr80Gg3MZjMve8yCXOz65vf7+fXYZDJBkiR+zS4vL4dOp+P3A1TJoXUQBKHVZ4ywLFi32x1xL8VKUPr9/ir3Y6xMd3uo2EJIW9G7d29cdNFFCIVCKCoqQl5eHvLz81FQUFClulB1vF4vTpw4gRMnTgComBCckZHBA7apqan0nEWiEgSBT0rz+XzweDwIh8M8IMsmrel0Oj7hTavVwmKxwGg0tvTpt0ttvVoIIYS0NS02klDdwHxtg/VNZfPmzRAEAU8++WRM63fs2BEAkJ+f35SnRQhpRbRabURPOhasZIO7bLBMnVnLSh2zDB3Wv5Zln7KMHjVRFCMG1di27E+2nPXMFkURGo2Gb6MoCoLBIC+rzKizW1lGKwAecFa/Fg07BgtU1zR4wEpHA+eyjDUaDbRaLQ0cEkIIaVZ6vR56vZ5fw9TVH9j1W6PR8PXUgVqHw8GvaXq9HmazmQa8SaNR30Oy1hoMy5BlkwoY1gZC3U+ZENI6SZLESxUDFc9tJSUlyMvL4wFb9TNmTQKBAE6dOoVTp04BqHiO7NChA993eno6TTQiNVIHaQOBALxeL79fCgQC0Gg0MJlMvC+t3W6H0+mkthAtpK1VCyGEkLasRe6+vv7665heaw6FhYUAKmYmxoIFYGKZrUgIaZ9YoBGo6GEXCoXg8/n454a6lK/6s4QFV1mmDgvYsoeZygFSWZarlLKrCQvaNpSiKFXKEbOAMgtIV6bRaHj5ZhYwpoFrQggh8Ubd29xsNiMYDEZk1Ho8Hj65iq2nfjZgfWpZliKVPyb1we4b2eC3GptAULm/LPvdZVmyNBBOSNskiiLS0tKQlpaGwYMHQ1EU2O125Ofn84Atq8hUG1mWcfbsWZw9ezZiv+pSyDS5g1QmCAKfqMauVT6fD7Isw+l08r60bLnD4YDL5YLFYqEgbTNrC9VCCCGkPWiR4OzIkSNjeq05mEwmlJeXV8lQqwnLmE1KSmrK0yKEtCGSJMFisfCfWdljFtBkmaYs+MrK/1YudQxEBnBZBqw6a7byjEi2HQvMsmAqe10QhIigLwu0svNg56J+PRoWXGZfNAubEEJIa6MO1LK+6H6/n5fp93q98Hq9/JosSRKMRiO0Wi3PdCwvL+e959m+aGCSqLHJbqziSHVVR1h2EvvdU9+3sd7Ier2esmIIaYcEQUBycjKSk5MxYMAAKIoCp9MZkVnrcDii7iccDqOgoAAFBQXYu3cv3y/LrM3IyKAytSQCG+MwmUzwer3weDyQZRkulwsejwd6vZ7/zjgcDjidTuj1ep5hS9csQgghpAXLGle2b98+AEBmZibS0tKa7bjdu3fHnj17sGvXLtxyyy1R12cZvv3792/qUyOEtFGCIFQphcwCtiwzlQ0AK4pSJWCqFq2MlToIy/bdGFhGr/qLBYkpGEsIIaQtEUWRZ8IqisKDaKzMrLpPLSt/zCpGhEIhuFwuvi+W2UgTmNon9ntSXTliprry2mosc8loNNLvDyEkgiAIsNlssNls6Nu3LwDA7XbzQG1eXh7sdnvU/SiKgpKSEpSUlODAgQMAgMTERJ5Zm5mZGTH5mLRfoijCbDbDaDTC5/PB7XYjHA7D6/XC5/Px+ydJknimrUaj4dtQhRFCCCHtWdw8zQ0ZMgSiKGLDhg246qqrmu241113HX788UcsWrQoanDW7Xbj//7v/yAIAm688cZmOkNCSHvAAraMwWAAcC7TlQVW2RdwLqCrLi9cuXRxXYOxLPuWfbHSyqx3LcsQopmuhBBC2iN1ST8AvBIGC6Spyx+LoshLzWq1Wmg0Gl7+mGHl/itXnKAM27ZBlmVegrhyz1gAEfduPp+PT9BTr6fO4pYkid+TEUJILMxmM3r16oVevXoBqPisYYHa/Px8FBcXx9T+pqysDGVlZTh8+DAAwGq1RpRBTkhIoM+mdkwURZhMJhiNRl4FLBgM8kojkiTxtg9AZDYtK4VM9z6EVE/dEo09gxBC2oa4Cc6azWZ4PB4MHjy4WY/75JNPYuHChdiwYQOeeuopvPbaa9Wul5ubiwkTJuD48eOwWq149NFHm/U8CSHtU30eUBRF4eWK1cFcQRB4xisL5rJjqL8nhBBCSGxYewFWqo9VvggGgwiHwzxLBKioOiFJEg/CqnvKVy5ly3rPG41G6vvXyqj78AUCgSrL2e9HIBDgVVMqYy0iWBY2BTwIIY3FYDCgW7du6NatGwAgEAigoKCAB2sLCwtjmuDrdDrhdDpx9OhRAIDRaOSB2szMTCQnJ9NnVzuknlCkrhQRCoUQCoXgdrt5Nq1Wq+XXS0EQ+OsGg4F+d0i7xO4P2b0ha4Omfk7o2LFjS50eIaQJxE1wNisrC0eOHIHH40FKSkqzHbdTp05444038PDDD+ONN97A6tWrkZ2dzZc/8sgjyMnJwdatWxEMBiEIAt566y3qOUsIiVvsQYaVG65O5dfp4YcQQghpGI1GA5PJBCCyNC3rFaouf8ywTEgWtGWTqNhAjNvtjsjAZQOedN2OHyy4HgqFeKaQGvs9YGWMa8pQYxnU9G9MCGlOOp0OWVlZyMrKAlARDCgqKuJ9awsKChAKhaLux+v14vjx4zh+/Djfr7oMcmpqKk0EbmdYpRFWFcLr9fKKEj6fj09u0+v10Gg0PMuWBWrVbSIIaUvYfSGbtFA5saI6jdWijBASX+LmCnfTTTfhyJEj2LhxI+6///5mPfaDDz4ISZLwu9/9DkVFRfj444/5w/C7774LoGKAxWg0YsmSJRg7dmyznh8hhBBCCCGk9VBnjgDngrUsUMeCdGxQRh2wZcFa9aCmOgNXXVpZr9fToGUzC4fDPOjOylmrqQPz1fWVZa0sWMCd9dujYCwhJB5IksQDqkDFZ15xcXFEKeTKn3vVCQQCOHXqFE6dOsX326FDBx6wTU9Pp+tXOyGKIoxGIy957PV6q2TTsuuiwWCAKIo8UAtUVBMxGo28dy0hrUk4HOa/68FgEH6/v8YJL2zdcDgMQRAgyzLfVpZl2Gy2Zj57QkhTi5ur2jPPPIP33nsPM2bMwLXXXovOnTs36/EnTJiAm2++GUuXLsWXX36Jw4cPo6ysDFarFT179sQNN9yA3/3ud8jIyGjW8yKEEEIIIYS0bupgrdlsBgA+4CLLMg/cKooSkWGr7kmr0Wig0+kgimJEsJaVv2UDm9QbvnGxjB8WiK1uQE098Ob1eqlnLCGkzRBFEenp6UhPT8fgwYOhKArsdjvPrM3Ly+NBtNqEQiGcOXMGZ86c4ftNS0vjpZAzMjKojH87wFo7sGsru66qK4aw+xlWVYQtczgckCQJBoMBJpOJArUk7qiDsKyqSk33jayyDgvGskmbhJD2JW6uZJmZmfjf//6H3/72t7jgggvwpz/9Cbfccgt69OjBG8Y3tdTUVLzwwgt44YUXmuV4hBBSI0WB8OuNmSJJAA3iEUIIIW2KRqPhWZMMC/IFAgH4fD5e4kxdKleSJB7sUw9aqrGetursTEEQaCCzFuzvmQ2WqQPm1a0bCAT44HLlwTT2d08ligkhbY0gCEhOTkZycjIGDhwIRVHgcDh4Vm1eXh6cTmfU/YTDYRQUFKCgoIDvNyUlhWfWZmRkwGg0NvXbIS1EnU0ryzKfAMWuvey+RhRFXt5Yq9UiFArB5XLB5XJBo9HwZaw0MiFNTd3Ogv0ZDodrbV2hnsTH7vNra3PBSsCLoghJkuB2u5vs/RBCWlbcPJ2rL6KKomDatGmYNm1a1O0EQaCZJYSQNkVbVATLkcPQlpcDAIIJCXD17YdgWloLnxkhhBBCmpI6qGc2m/mApbqsGfvyeDwR/Wr1ej0fzGGDmjWVnmQBXkEQeKatoig885ZlfrJMz7amcnk5lq1cExasZQNq1a3L/i3YIDEFZAkh7YEgCEhISEBCQgL69esHAHC5XBFlkO12e9T9KIqC4uJiFBcX48CBAwCApKSkiGCtxWJp0vdCWoZGo+GBWnadZWWPw+EwL3EsiiK0Wi0MBgN0Oh1kWYbH44HH4wFwrm2AwWCA0Whsk/cvpHkoisLvD9nP6tYktW2nroyj7ilbmboyDrsXr+m+m7XTIIS0PXETnK08Y6SmGSSEENKWaUtLkbhjOwTVZ6C2vByJO7bDfskIhJKTW/DsCCGEENJc2CCNOtuVBQnV/UxZCWSXy8WDrWywR11Gl30BqLHMWnXYoJFWq+XnwrJ+2SAUC0q2BHYOLMuYvUc2EKYuE8cGt2p61lQPqLG/a1ZqrjJJkvjfC2XsEELIORaLBb169UKvXr0AAF6vNyJYW1JSEtOYn91uh91ux6FDhwAAVquVB2ozMzNhs9loIkwbw+57TCYTD4ix1gLqUsjq+xJWAllRFH5/5HA4AAAGg4F/sQlshDDsnlpdVpjdC9b2GcXuE9XBV5Y9WxN2X84mVWq12qZ4S4SQViZugrOzZs1q6VMAAJw5cwb5+fnweDxRbxazs7Ob6awIIe2F5cD+iMAsIygKrAf2w549sgXOihBCCCHxgAVFDQYDH7RUf6l71lbGArdsH+qSaep9AxUBTba+OlBZG5Z9C1SUVWbbA6hSTpmtxzIF2DHC4TA/N/U5AODl4th5aDQaPohWV5UzG9SB2JqoB9RYhjEhhJDojEYjunfvju7duwOomChTUFDAe9YWFRXV+vnLOJ1OOJ1O/Pzzz3y/mZmZ/CspKYmCtW2Iumc7C5z5/X7e9oEFat1uN79fYFm17L7D5/PB5/PxfakrXNB1vH1Qt6Jg5YVjue9j5YvZ/a26ikpt26knV6oDsvTZRAipDgVnUVHu6+WXX8Y777yDvLy8mLZpC+WUT548yW+Oo/noo48wevToKq8fPnwY06dPx9dffw2fz4cBAwZg6tSpuOeee2rd3+7du3HRRRehU6dOOHjwIMxmc73eAyFtiRAMQltLfx7J6YQQDEKhGXaEEEJIu6cetAQQMehUeSa/oii1Bm5rOwYL2rJBJkVReA8sdeasepCzOUqvqZ/F2PtjmbPse/VyltHABtZqwt6LRqPhpZ9pUI0QQhqPTqdDVlYWsrKyAFR8nhcWFvLs2oKCgpjG27xeL44fP47jx48DAPR6PTp06MCDtampqRSAayNYyWKtVguz2RwxMY1lOcqyDLfbzYO1bH1W3UIdzAXAl7N7HArYtn4soMqyraMFUtXBWnavyO4Xa/sMYpMBWOBVFMWICZCEEBKruAnOthSPx4Orr74aO3bsoFLKdfTTTz/hsssuQ/mvfTEBYNeuXRg/fjxyc3Px7LPPVrtdOBzG448/DlmWsWjRIgrMEvIr0eerdbnw6zoyBWcJIYQQUgkbGKqcpQqcC9xWHoSqvKy6VjMs0FtT/1rg3CAVG9RkJZRZZqw6sKnOsFVnzrJBMfWgFlsOnMucZX+qs3pjybiq7pzVmQ2s9xcFYQkhpHlJkoSOHTuiY8eOACquS8XFxTyzNj8/H4FAIOp+/H4/Tp06hVOnTvH9qoO1aWlp1V4jSetSeXKauhqGz+fjlURYiWO32x1xvWfBWhbcVdPr9Txgy+5f1G0dSMtg943sHk2dycqCsIFAoNa2FeoWGOryxbVh/+5ssiKroMJ+PwghpKHa/dXl//7v/7B9+3YAwJAhQzBhwgT07dsXJpOphc+seS1duhTjx4+vcbnRaKzy2uTJk1FeXo7zzjsPb7/9NtLT0zF//nwsWrQIL7zwAkaPHo2ePXtW2W7JkiXYsWMHRo0ahdtuu61R3wchhBBCCCEkkjpwGq03LCsnrM60ZYNYLAjKBrfU29Q1K7cpsHLI7Hv16+qBtcq9fAkhhMQPURSRnp6O9PR0nH/++VAUBaWlpTxQm5eXB6/XG3U/oVAIZ86cwZkzZyL2y3rWdujQocX6pZPGo55sZTAYePCNZdWyP1kgzu12R/SsZd+rs2uro75/ULc6oCBdw7B/L3XWqrrii/rfTj3Br7b9BQIB/u+unpBYHTaxUT3RUBRFamFBCGkWcftEevz4cXz33Xc4ceIEnE4nrFYrunfvjiuuuAI9evRotON8+OGHEAQBo0aNwr///e92e1HV6/WwWCwxr//LL7/g22+/BQCsXr0aAwYMAAAsXLgQmzdvxu7du7Fq1SrMnDkzYrv8/HxMnz4dZrMZixYtarw3QAghhBBCCGkw9jykHuzU6/W1bsMCtyw4qy4zzL6vfAz2OlumKAq0v1YHqS6Tlw2cCYKAcDgcUUJOvYwQQkjbIggCUlJSkJKSgkGDBkFRFJSXl/NAbX5+Ppy1tAdiwuEw8vPzkZ+fjz179kAQBKSmpvJgbUZGBgwGQzO8I9KUWGBN3fYhEAhU6RlaORDL2hmoS9OqK5Kog4Rq7B6EVeBg1T3Yz+1tMhi7f6vcbkNdqQUAL0ddF+r11dmz6j+r26c68Mr+fdVBeUIIaSlxd4XYt28fnn76aWzatKnGda666irMnz8f5513XoOPx3pTzJo1ix7m62Dv3r0AgB49evDALDNq1Cjs3r2br6P29NNPo7y8HK+++irvL0IIIYQQQghpvdRlgQkhhJCmJAgCEhMTkZiYiH79+gEAXC5XRGZtWVlZ1P0oioKioiIUFRVh//79AICkpCQeqM3MzKQ2XPWlKBB+DWQqkgS04HirKIoRQXdFUSKyKtUVQqrLyGaBVxbQYxmV7IsFbIPBIHw1tKpipZhZpi6bZMZKLLPgYTyoPLmOTahTZyGrJ9jVNhkvVuqMWfW+1AFedi7qc6wJy2pmwVcqQ0wIiVdxFZz9+OOPcc899/D+ADX5+uuvMXz4cKxevRq33357g46p0+ng8/nQrVu3Bu2nvXE4HACA9PT0Kss6dOgQsQ6zYcMGrF69GoMHD8aUKVOa/BwJIYTEP0VRAJer4geLhR6aCCGEEEIIIXVisVjQu3dv9O7dGwDg9Xp5oDYvLw+lpaUxBY7sdjvsdjsOHjwIALBarbxnbWZmJqxWKz2vRKEtKoLlyGFoy8sBAMGEBLj69kMwLa2Fz6xC5Z61wLnsWnUbB3Wfe3XWrDqAqw78seAta6XAsjRZcLO6ksmVM75ZFRCWbaveF1vGjlM5eFq5PLB6O/V5se0qZwGzIHVtQc+6UP8dqrNkWZWVysHY+mA9gdVtK9StPAghJN7FTXD2yJEjuOeeexAIBKDX6zFp0iSMGTMGAwYMgMVigcvlwsGDB/Hhhx/irbfegs/nw7hx47B371706dOn3sft27cvduzYgYKCAiQkJDTiO2qdAoFATD03bDYbAKC4uLjKsqKiooh1AMDv92Py5MkQBAFLly5td2U9CCGEVKVs2wblzaXAr4MfGDAAmPw4hIsvbtkTI4QQQgghTebkyZPo3r17TOt+9NFHGD16dJXXDx8+jOnTp+Prr7+Gz+fDgAEDMHXqVNxzzz217m/37t246KKL0KlTJxw8eJAyI9soo9GI7t2789+zQCDASxrn5eWhqKgopiCU0+mE0+nEzz//DAAwmUwRmbVJSUkUrFXRlpYiccd2CKpgm7a8HIk7tsN+yQiEkpNb8OxqVjm7lmFBTJbZGQqF4Pf7eZCTZd5G27c6iMgyZ1nFEXUgkQVOA4FAo7/HumLnws43HA4jGAxGtJ5gy9R9YuubQVs5sK0ORrPS0Wy/6oAzIYS0ZnETIXv55ZcRCASQkpKCjRs3YvDgwRHLExISMGLECIwYMQIPPPAArrnmGpSWlmLu3Ll49913633ciRMnYvv27fjXv/6F559/vqFvo9V6+eWXMXXqVNjtdkiShK5du+LKK6/EE088gSFDhlRZn/37HDt2DDk5OejVqxdftn79+oh1AGDOnDnIycnBo48+ihEjRjTtmyGEEBL3lL17oUyZCqhn7B48WPHa0iUQzh9c88aEEEIIIaTd+umnn3DZZZeh/NfMPADYtWsXxo8fj9zcXDz77LPVbhcOh/H4449DlmUsWrSIArPtiE6nQ5cuXdClSxcAFf0uCwsLeSnk/Pz8qEE2APB4PDh27BiOHTsGANDr9RE9a1NTU9t1wMhyYH9EYJYRFAXWA/thzx7ZAmdVfyyoWh2Wqcp+b1gQV52Vqi6/W9PvFwvus2Aky5xVFCWiHC/7s3LmLKPO9GU/s23UQU92PurJCWxbFmhVL1MHReuKHZNltKrPpXIfWJrkQAhpj+ImOLtx40YIgoCXXnqpSmC2ssGDB2P27NmYNGkSNmzY0KDjPvbYY/jwww8xZ84cXHbZZRg5snXdKDQWNgsQqLihYDeb7777Lp599lnMmTMn4kLZrVs3XHrppdiyZQvuvfdeLF++HGlpaViwYAG2bt0KjUaDcePG8X3PmzcP6enpmDt3brO8n8LCQp7BG6ucnJwmOpv6URQF7pAbAGCWzHSjQghpU5R5r0QGZplQCMq8eRDeX9X8J0UIIYQQQprV0qVLMX78+BqXG43GKq9NnjwZ5eXlOO+88/D2228jPT0d8+fPx6JFi/DCCy9g9OjR6NmzZ5XtlixZgh07dmDUqFG47bbbGvV9kNZFkiR07NgRHTt2BFAROCsuLo4I1saSvej3+/HLL7/gl19+AQBotVp06NCBB2zT0tLaTeU4IRiEtlKZXjXJ6YQQDEJpI/3pWf/Z2qjLIrMsWxZUVZdPBhARAK1ccrglqbNVWelgFliVZZkHV9VBV/UXIYSQmsXNHQILpN18880xrX/LLbcAqL6sbk2+/fbbal//05/+hN///ve47rrrcNddd+HGG29Ex44do95AZWdnx3zseCSKIq699lrcfffdGD58ODp37gyLxYLc3Fx89tlnmDNnDgoLCzF37lzodDr85S9/idh+8eLFyM7OxrZt2zBgwICIZTNnzuTlpidPngy/34/XXnsNSUlJAID8/HysXLkShw4dgtFoxMiRIzFmzJhGm2H45ptvVjnf1uTHkl34Z84KHHVUBM172/rg3l7344KUoS18ZqStUxQFMoIAAA20dDNNmoTidAJHa5kQk3MMitMJwWptvpMihBDSeikKBJalIkkA3b8Q0mro9XpYLJaY1//ll1/42M7q1av5WMTChQuxefNm7N69G6tWrcLMmTMjtsvPz8f06dNhNpuxaNGixnsDpE3QaDTo0KEDOnToAKAiq9But/Oetfn5+RG9RmsSDAZx+vRpnD59mu83PT2dB2vT09NjaiXWGok+X63LhV/XkdtIcDYWGo0GAGocX1Zn1qozX9XZtiw4ygK56uVsDFWdiarRaKpkz6pLEVfOpmWvsW3VgVa2D/XPhBBCGk/cBGfT0tJw9uzZamv8V4etl5KSEvMxrrzyylovJoqi4IMPPsAHH3wQdV+CIMTVTKb66NKlS7WZx7169cJTTz2Fu+66C5dddhlOnDiBl19+GRMnTkSPHj34ekOGDMGWLVswY8YMfP311/D7/ejfvz+eeuopTJw4EQCwatUqbNy4EVdddRXuu+8+AMCmTZswatQoOBwOvq8lS5Zg8eLF+Oyzz2Bt54PxB8t+wl9/nImQcu7366jjZ/z1x5l4adgr6J84sAXPjrRljnAezsh74VFKAAAmIQWdNOfDJma28JmRNqcwSmUDRalYp51fDwghhESnLSqC5chhaH8tbxpMSICrbz8E09Ja+MwIIU1h7969AIAePXpUmSQ+atQo7N69m6+j9vTTT6O8vByvvvoqsrKymuVcSesliiJSUlKQkpKCQYMGQVEUlJeX80BtXl4eXC5X1P3IsswDvD/++CMEQUBqaiovg5yRkRHzOChpe1hPVSYesqwVRQHY77bF0q7LdBNCSFOLm0/YSy+9FACwY8eOmNbftm1bxHaxqtygvHKz8tqWN7S5eWuTmZmJhQsXAqiY/ffhhx9WWWfQoEH45JNPUFZWBq/Xi927d/PAbFlZGf7whz9Ap9NhyZIlAAC73Y4xY8bA4XBg+vTpKCoqwk8//YShQ4fiu+++wzPPPNN8bzBOLT20KCIwy4SUEJYcohm+pGm4woXICW3igVkA8CglyAltgitctxLhhBBCCCHNQVtaisQd23lgFgC05eVI3LEdUmlpC54ZIaSpsEne6enpVZaxrEf1RHAA2LBhA1avXo3BgwdjypQpTX6OpO0RBAGJiYno378/rrrqKtxzzz0YN24crrrqKvTr1w+JiYkx7UdRFBQVFWHfvn348ssvsXLlSnz00Uf4/vvvcezYMbjd7qZ9I4TUQtm2Dcr9D0K5+tqKr/sfhPLr+DshhJDG1/JTcn41depUfPLJJ3j++eeRnZ0Ns9lc47putxvTp0+HJEmYOnVqzMf4+uuvG+NU25Ubb7wRBoMBPp8Pu3fvrtO2zz33HAoKCjBjxgz07dsXQEUmbXFxMS699FLMnj0bAJCamop//OMfGDhwIFasWIG5c+fy8sf1NXnyZIwZM6ZO2+Tk5OD2229v0HEbyhV04aTrRI3Lf3GdhCvogkUbe9knQmJxSt4BBeEqrysI45S8HQPEW1rgrAghhBBCamY5sB9CNZNmBUWB9cB+2LNHtsBZEULqIxAIxFTu1WazAai+xRVrl8XWASp6gk6ePBmCIGDp0qVxkZlG2gar1Qqr1YrevXsDADweD+9Xm5eXh5KSkih7qGC322G323Hw4EEAFb+/rAxyZmYmrFYrlZQlTU7ZuxfKlKmAukrkwYMVry1dAuH8wS13coQQ0kbFzV3pxRdfjLfeeguTJk3CiBEjMG/ePNxwww0R5RPC4TA+//xzPPvss8jJycFbb72FSy65JOZjjBxJD+d1JUkSkpOTcfbsWZSVlcW83fbt27Fs2TL06tULzz//PH998+bNAKr2Fu7fvz+6d++O48ePY+fOnbjuuusadN7p6enVzqSNd6X+2nsoK1BQ6i+m4CxpVCElAK9SVuNyr1KGkBKAJLTN3jiEEEIIaX2EYBBap7PG5ZLTCSEYhNKOetsR0hq9/PLLmDp1Kux2OyRJQteuXXHllVfiiSeewJAhQ6qsP3hwRYDg2LFjyMnJQa9evfiy9evXR6wDAHPmzEFOTg4effRRjBgxomnfDIDCwkIeJI5VTk5OE50NaU4mkwk9evTg7cD8fj8KCgp4KeTCwsKYqvA5HA44HA78/PPPAACz2cyDtRkZGUhKSorass0dqsjANUtmCuySmCjzXokMzDKhEJR58yC8v6r5T4oQQtq4uAnOXn311QAqes8eOHAAv/nNb2AymdCnTx9YLBa4XC78/PPP8Hg8AIBOnTrhH//4B/7xj39Uuz9BELBx48ZmO/+2KhAI8Nl+sWazyrKMxx57DOFwGIsXL47on8Fmt6amplbZLj09HcePH6/zgwwhpGGCiifqOq5wERI1nZrhbAghrcXJkyfRvXv3mNb96KOPMHr06CqvHz58GNOnT8fXX38Nn8+HAQMGYOrUqbjnnntq3d/u3btx0UUXoVOnTjh48GCtFVcIIW2T6PPVulz4dR2ZgrOExDUWgAKAUCiEY8eO4dixY3j33Xfx7LPPYs6cORHBpW7duuHSSy/Fli1bcO+992L58uVIS0vDggULsHXrVmg0GowbN47ve968eUhPT8fcuXOb5f28+eab+Mtf/tIsx2oNFEWBjCAAQANtuwoU6vV6dOnSBV26dAFQ0S6ssLCQB2sLCgogy3LU/bjdbv7/gu2XBWozMzORkpLCE1t+LNmFf+aswFFHxf+r3rY+uLfX/bggZWgTvUvSFihOJ3C0lkkiOcegOJ0QrNbmOylCCGkH4iY4u2nTpoibNEVR4Ha78eOPP1a7/pkzZ3DmzJkqs84EQYCiKDHf8D344IO8vI02hgd3RVHw0EMPQRAE/P3vf4/pGK3Z+vXr4ff7AQAXXnhhTNssXLgQe/bswdixY3H99ddHLDMajQAqZpNWVlBQELEOIaTphRUZefL+qOsdkzchVemNLM1QiIKmGc6MENLW/fTTT7jssstQruoVuWvXLowfPx65ubl49tlnq90uHA7j8ccfhyzLWLRoEQVmCSGEkFZGFEVce+21uPvuuzF8+HB07twZFosFubm5+OyzzzBnzhwUFhZi7ty50Ol0VYKdixcvRnZ2NrZt24YBAwZELJs5cyb69OkDoKLdkd/vx2uvvcYnm+fn52PlypU4dOgQjEYjRo4ciTFjxkRUbSONwxHOwxl5LzxKxYR/k5CCTprzYRMzW/jMWoZWq0WnTp3QqVPFpGdZllFcXIy8vDwesA0Gg1H34/f7cfLkSZw8eZLvNyMjA4EUH1Y43oasnAv4HnX8jL/+OBMvDXsF/RMHNsn7Im1AYZQkGUWpWIeCs4QQ0qjiJjibnZ3dIjPoVqxYAUEQsGjRopiCs+FwmG/T2oOzubm5yMrKqnH5qVOn8NRTTwEAdDod7r777qj7PHPmDGbOnImEhATMnz+/yvKBAwdi3bp1WLduHWbMmMFfP3DgAE6cOMHXIYQ0vbAi41joGziUvJjWLw4fRUBxoac0kgK0hJAIS5cuxfjx42tcXt3Eq8mTJ6O8vBznnXce3n77baSnp2P+/PlYtGgRXnjhBYwePRo9e/asst2SJUuwY8cOjBo1Crfddlujvg9CCCGENL0uXbpgw4YNVV7v1asXnnrqKdx111247LLLcOLECbz88suYOHEiLxULAEOGDMGWLVswY8YMfP311/D7/ejfvz+eeuopTJw4EQCwatUqbNy4EVdddRXuu+8+ABVJAaNGjYLD4eD7WrJkCRYvXozPPvsMVgo8NBpXuBA5oU1QEOaveZQS5IQ2oY90LSxiWgueXXzQaDTo0KEDOnTogCFDhiAcDqO0tJT3rM3Ly4MvSpUIoCIjNzc3F9/IX0HWV83EDSkhLDm0CAtHLG2Kt0EIIYSQeoqb4OymTZta+hTanQsuuACXX345Ro0ahaFDhyIzMxOSJCE3Nxfr16/Hq6++itLSUgAVs0+7desWdZ+///3v4XK58MYbbyAjI6PK8nHjxmHevHnYsWMHpkyZgilTpqCoqAgPPfQQAGDYsGF8lishpOFCSqDGssV58v6YA7OMQ8nDydAWZGrOi3hdK5ioJy0h7Zher4fFEns/9F9++QXffvstAGD16tU862XhwoXYvHkzdu/ejVWrVmHmzJkR2+Xn52P69Okwm81YtGhR470BQgghhMSNzMxMLFy4ELfeeiuCwSA+/PBDTJs2LWKdQYMG4ZNPPql2+7KyMvzhD3+ATqfDkiVLAAB2ux1jxoyBw+HA9OnTMWXKFBQWFmLChAn47rvv8Mwzz+Ctt95q8LlPnjwZY8aMqdM2OTk5uP322xt87HhySt4REZhlFIRxSt6OAeItLXBW8U0URaSmpiI1NRWDBg2CoigoLy/ngdq8vDy43e5qtw2KATj15dUuA4CTzhPYtPVrdO/YAxkZGdDr9U31NgghhBASo7gJzrYWXq8XQEUmaWsXCoWwdu1arF27tsZ1tFotZs2ahenTp0fd3/r16/Hxxx9j+PDhmDRpUrXrDB48GH/84x/xyiuvYMGCBViwYAFfZrFYGuVhqLHY7XYUFxdDr9dDp9NBp9NRqSPSarjChTgl74BXKYt5GxEadLNdgC6WwTBrk+AO2nHKtQ8nHT8ijHMzcO3KKdhDp6psbxQS0UVzEc2CJoREtXfvXgBAjx49qpQjHDVqFHbv3s3XUXv66adRXl6OV199tdbqH4QQQtomRVEAl6viB4ulXfWvbG9uvPFGGAwG+Hw+7N69u07bPvfccygoKMCMGTPQt29fABWZtMXFxbj00ksxe/ZsAEBqair+8Y9/YODAgVixYgXmzp3Lyx/XV3p6OtLT0xu0j9YupARqfQ71KmVwh0tgFlOa76RaIUEQkJiYiMTERPTv3x8A4HQ6eQnkvLw83h7Ep4mSYSsAuw7vws/7jwIAkpOTec/azMxMmEymJn0vhBBCCKmKgrN1tHHjRgCoNiu0tVm+fDm+//57bN++HadPn0ZJSQl8Ph8SEhLQp08fXHnllXj44YfRvXv3qPvyer144oknoNFosHTp0lqDmPPmzUPv3r2xePHiiD4vs2fPxqBBgxrzLTbI7t27cfr06YjXJEnigdr6flGAlzQ1RzivSgmpaERocGnmWCTpO/LXrLoUDEy+Ch1NfbElf3VEgLY6XqUMP4e+Qi/pynbbR4gQEhtWTrC6wcsOHTpErMNs2LABq1evxuDBgzFlypQmP0dCCCHxRdm2DcqbS4GDByteGDAAmPw4hIsvbtkTI01CkiQkJyfj7NmzKCsri3m77du3Y9myZejVqxeef/55/vrmzZsBADfffHPE+v3790f37t1x/Phx7Ny5E9ddd12jnH97FVZknApti7re4dDnSBV7I0szlFrm1IHVaoXVauUV5zweD/Lz87HvzF5846taKrwmpaWlKC0txcFfP08TEhIigrUWmvxCCCGENLl2F5x98MEHq3398ccfhyTV/NchyzLOnj2L77//HoIg4LLLLmuqU2w2d9xxB+64445G2ZfRaMTx48djXv/hhx/Gww8/3CjHbk6hUAihUAgeT/VlYmOh0WhqDNyWa8qibi/LsQfcSPujKArOyHvrFJgFgG62CyICs2pJho7oZrsAxx07ox8fYZyR98IqZNDDHCHtUCAQiKm6iM1mAwAUFxdXWVZUVBSxDgD4/X5MnjwZgiBg6dKltd6zEUIIaXuUvXuhTJkKhELnXjx4sOK1pUsgnD+45U6ONIlAIICSkhIAiDmbVZZlPPbYYwiHw1i8eDEMBgNfxu45UlNTq2yXnp6O48eP83sQUj9hRcax0Dcxt84pDh9FQHGhpzSSArT1ZDKZ0KNHD0jpIt7dWv/9lJeXo7y8HEeOHAEAmM1mZGZm8oBtYmIiPd8TQgghjazdjWytWLGiyg2FoihYtWpVTNsrigKj0Yhnn322KU6PtAOyLMPr9fIS2WpOrQPoXPv2H3/8MRLDSQ3O4NVo6OGnLZIRhEcpqfN2XSy1D2h1sQyOKTgLAB6lBDKCkND6y78TQmLz8ssvY+rUqbDb7ZAkCV27dsWVV16JJ554AkOGDKmy/uDBFZ85x44dQ05ODnr16sWXrV+/PmIdAJgzZw5ycnLw6KOPYsSIEU37ZgAUFhbWeYA2Jyenic6GEEKIMu+VyMAsEwpBmTcPwvuxPc+T1mP9+vXw+/0AgAsvvDCmbRYuXIg9e/Zg7NixuP766yOWGY1GABXX+MoKCgoi1mnNQkoAQaX+k8kbIk/eH3NglnEoeTgZ2oJMzXlNdFa10womSEL7eG5NTUtFqECGLNdeEQsA3G43cnJy+P2twWCIyKxNTk6mqnCEEEJIA7W74GyXLl0igrO//PILBEFAVlZWrbPAtFotUlNTcdFFF2Hy5Mm8hAhpuyRJgiAIFX2N4kxtAd5YVZfBq9Vq6xTgpcyltsOsrX02ulmb2DwnQghplX7++Wf+fSgUwrFjx3Ds2DG8++67ePbZZzFnzpyI+6xu3brh0ksvxZYtW3Dvvfdi+fLlSEtLw4IFC7B161ZoNBqMGzeO73vevHlIT0/H3Llzm+X9vPnmm/jLX/7SLMdqTRRFgTvkBgCYJTNlUBBCmoXidAJHa5kAk3MMitMJwWptvpMiDZKbm1tr7/hTp07hqaeeAgDodDrcfffdUfd55swZzJw5EwkJCZg/f36V5QMHDsS6deuwbt06zJgxg79+4MABnDhxgq/TWrnChTgl76i112tzE6FBN9sF6GIZDLM2Ce6gHadc+3DS8WNEyxy7cgr20KkWO0+jkIgumotgEdNa7Byaw1VXXolOxiwUFRXxnrX5+fkIBoNRt/X5fDh58iROnjwJoGKMlAVrMzIykJaWBpr+TwghhNRNu4ussBsJhs30OnjwIEwmUwucEYlXI0eOxMUXXwxZlhEIBBr01VYDvKIoNkoGLw3uNh4NtDAJKXXOnnUH7bDqUmpdHiuTkAINtHU6PiGk9RFFEddeey3uvvtuDB8+HJ07d4bFYkFubi4+++wzzJkzB4WFhZg7dy50Ol2VYOfixYuRnZ2Nbdu2YcCAARHLZs6cySfCTZ48GX6/H6+99hova5ifn4+VK1dG9K4fM2YMzeBvQj+W7MI/c1bgqKMiEN/b1gf39rofF6QMbeEzI6RuFEWBjIqBaA20dB/aGhRGqWSgKBXrUHC21bjgggtw+eWXY9SoURg6dCgyMzMhSRJyc3Oxfv16vPrqqygtLQVQcU/QrVu3qPv8/e9/D5fLhTfeeAMZGRlVlo8bNw7z5s3Djh07MGXKFEyZMgVFRUV46KGHAADDhg1rtZPwHeE85IQ21bm1TVMSocGlmWMjWudYdSkYmHwVOpr6Ykv+6ogAbUvyKmX4OfQVeklXwiZmtvTpNCmNRoOMjAxkZGRgyJAhCIfDKC0tRV5eHg/W+ny+qPsJBoPIzc1Fbm4u32+f9HT8VqRrKiGEEBKrdhecrWzChAkQBAFaLQUSSFXsd0Or1cJsNtdrH4qixBzgPes/A1RTrStehcNh+Hy+mG7ea0IB3sYlCAI6ac6v88P5Kdc+DEy+qpbl+2M7PkR00pxP/x6EtANdunTBhg0bqrzeq1cvPPXUU7jrrrtw2WWX4cSJE3j55ZcxceJE9OjRg683ZMgQbNmyBTNmzMDXX38Nv9+P/v3746mnnsLEiRMBAKtWrcLGjRtx1VVX4b777gMAbNq0CaNGjYLD4eD7WrJkCRYvXozPPvsMVhqcb3QHy37CX3+ciZBy7iblqONn/PXHmXhp2Cvon9h6M41I++II5+GMvJdPYjMJKeikOb/ND8YTEm9CoRDWrl2LtWvX1riOVqvFrFmzMH369Kj7W79+PT7++GMMHz4ckyZNqnadwYMH449//CNeeeUVLFiwAAsWLODLLBYL3nrrrbq/kTigKArOyHvjKjALAN1sF0QEZtWSDB3RzXZBzG1zmoOCMM7Ie2EVMtrVs6woikhNTUVqairOO+88KIqCsrIyHqjNy8uD2+2Ouh9ZlitagnRIb4azJoQQQtqGdh+cXbFiRUufAmnjBEGAJEmQJClqdvYp10ms3PpOrevccOMNSNd0qFcGbzgcXw9sQOMFeOtakln9pdfr21SA1yZmoo90LU7J22Mua3XS8SM6mvtW+wBt953FScePUffRXspBEUJik5mZiYULF+LWW29FMBjEhx9+iGnTpkWsM2jQIHzyySfVbl9WVoY//OEP0Ol0WLJkCQDAbrdjzJgxcDgcmD59OqZMmYLCwkJMmDAB3333HZ555plGGVydPHkyxowZU6dtcnJycPvttzf42PFo6aFFEYFZJqSEsOTQIiwcsbQFzoqQunGFC6tMXvMoJcgJbUIf6Vq6fyGkGS1fvhzff/89tm/fjtOnT6OkpAQ+nw8JCQno06cPrrzySjz88MPo3r171H15vV488cQT0Gg0WLp0aa1VNObNm4fevXtj8eLFEdU3Zs+ejUGDBjXmW2w2MoJ1rprUHLpYBkddHk/BWaDimiAjCAntowdtdQRBQFJSEpKSkjBgwAAoigKn0xlRBrm8vLze+//xxx9h6dwZGRkZVL2QEEJIu9fug7OEtDY2qxXplvrNRgyFQnUK5gaDwSqvyXJ8lB5SC4fD8Pv98Pv99d6HIAgNzuBlfYrjgUVMwwDxFoSUAIKKp8pyv+LCMfkb/nMYMrbkrVb1BEr8tSfQ/io9gQCgp+ZK6IVz2eRawQRJaL8PsYSQ6t14440wGAzw+XzYvXt3nbZ97rnnUFBQgBkzZqBv374AKjJpi4uLcemll2L27NkAgNTUVPzjH//AwIEDsWLFCsydO5eXP66v9PR0pKfTzH8AcAVdOOk6UePyX1wn4Qq6YNFamvGsCKm7U/KOajPLFIRxSt6OAeItLXBWhLRPd9xxB+64445G2ZfRaMTx48djXv/hhx/Gww8/3CjHJjUza2u/FzNrE5vnREiDCIIAm80Gm83Gy357PJ6IMsisBHkscnJyUHz4MAAgISGB96zNzMyk6jeEEELanRYJzt55550QBAEffPABdDoazCekucSawVubxujBG48BXkVRWjzAawo1fk1rSdBVGzQ1IhGpSm8Uh4/y18KQcdyxM+oM5lSxNxI1nRr9XAkhbY8kSUhOTsbZs2dRVlYW83bbt2/HsmXL0KtXLzz//PP89c2bNwMAbr755oj1+/fvj+7du+P48ePYuXMnrrvuukY5fwKU+otrXa5AQam/mIKzJK6FlECt1US8ShlCSoAmmhFCWh0NtDAJKXGXPesO2mHVpdS6PN6YhBRoQC3PojGZTOjZsyd69uwJAPD5fCgoKIArNxcoL4t5P+Xl5SgvL8fhX4O1FouFB2ozMzORkJAQN5PfCSGEkKbQIsHZTz/9FIIgIBQK8eCsKIoQRREOh4NKWxASxzQaDYxGI4xGY733QQHe6qVKEh6P0qNl//79CJhMtQZ5tVptTA8xWZqhCCguOJS8mM/RJmQiSzM05vUJIe1bIBBASUnFYGGs2ayyLOOxxx5DOBzG4sWLYTAY+LLi4opAYWpqapXt0tPTcfz48Yp+V4QQolJdFZHKXOEimnxGCGl1BEFAJ835Vcq2t7RTrn0YmHxVLcv3N+PZRCdARCfN+RQMrAeDwYCuXbtCk5wMfPtN9A1q4HK5kJOTg5ycHL5fFqjNyMhAcnJyrWXLCSGEkNamRcsaK4pS68+EkLapsQK81ZVdrstXqAkyVZva4cOHURzlvAVBiLkHr1bXGfrUMPymgqjHThV7I0szFKKgaay3Qwhp49avX88nrFx44YUxbbNw4ULs2bMHY8eOxfXXXx+xjF03CgsLq2xXUFAQsQ4hhABAWJGRJ0cPAhyTNyFVoXsdQkjrYxMz0Ue6Fqfk7bVWCWhOJx0/oqO5L5L0Hasss/vO4qTjxxY4q+oZhUR00VxEvcebQUaHDigvLEQwGIy6rs/nw4kTJ3DiREV7Da1WG5FZm5qaCo2GrteEEEJarxYJzlosFrjdbhQWFqJ79+4tcQqEkFZOo9FAo9FEZFTVVTgcbnAGbzwGeBVF4ecXqwG3G2BMrP7BJuQHireZURQqxTHdNzGXaY41g5cQ0jrl5uYiKyurxuWnTp3CU089BQDQ6XS4++67o+7zzJkzmDlzJhISEjB//vwqywcOHIh169Zh3bp1mDFjBn/9wIEDfOBm4MCBdX0rhJA2SlFkHAt9E3OVkOLwUQQUF3pKIylASwhpVSxiGgaItyCkBGKqFtDY/IoLx+RzWZNhyNiStxrdbBegi2UwzNpEuIN2nHLtx0nHjwgjshJWT82V0Avm5j5taAUTlbRvRldkZ+MSsxklJSW8Z21eXl5M1ceCwSByc3ORm5sLoGJMqEOHDjxg26FDB0hSi+YgEUIIIXXSIletXr16Ye/evXjttdcwd+7ciKbvNJBPCGkuoijCYDBQgBfAL1sC6HODAaIm8jM4LCvI+coHd5G7XvuNNYO3ti+6LhASny644AJcfvnlGDVqFIYOHYrMzExIkoTcrez6cQABAABJREFU3FysX78er776KkpLSwEAM2fORLdu3aLu8/e//z1cLhfeeOMNZGRkVFk+btw4zJs3Dzt27MCUKVMwZcoUFBUV4aGHHgIADBs2DH369GnU90kIab3OyHvq1L4BABxKHk6GtiBTc16VZTSITwiJd5Kga5HPKSMSkar0RnH4KH8tDBnHHTtx3LGz1m1Txd5UVr4dEUURaWlpSEtLw+DBg6EoCux2Ow/U5uXlweOJPsFAlmWcPXsWZ8+ejdgvC9ZmZGTwVnqEEEJIPGqR4Oztt9+OPXv2YOnSpVi6dCl/XVEUWCyWOu2L9a4lhJCW0JgBXtjtwO5dta6b1bkzjNX07I2lLFBt3IVh5HzlQ6cLdTCnVWSKuItknNkdgLuo/r2LgsEggsEg3O76BXeBhgd4tVot9aYhpAmEQiGsXbsWa9eurXEdrVaLWbNmYfr06VH3t379enz88ccYPnw4Jk2aVO06gwcPxh//+Ee88sorWLBgARYsWMCXWSwWvPXWW3V/I4SQVskTLkFKlHUqB2ZFaFRZXEm/ZnHtq5LFZVdOwR46Ve0+qfwlIYRUL0szFAHFVadJMTYhE1maoU14ViTeCYKA5ORkJCcnY8CAAVAUBU6nkwdq8/Pz4XA4ou4nHA6joKAABQUF2Lt3LwAgJSWFB2ozMzOp/QkhhJC40iLB2WeeeQYbNmzA5s2bqyyjvrOEkPaGBXg1MUxOuWTECMiqagNMOBxucA9eZ14Qhz/zQfPr5FI59qrITaqpArw1BX31ej0FeAmJwfLly/H9999j+/btOH36NEpKSuDz+ZCQkIA+ffrgyiuvxMMPPxxTCwuv14snnngCGo0GS5curfX/27x589C7d28sXrwYhw4dgtFoxMiRIzF79mwMGjSoMd8iISROOcJ5yJe3IQuxl8AUocGlmWMj+h9adSkYmHwVOpr6Ykv+6iplNqvjVcrwc+gr9JKuhE3MrNf5E0JIWyQKGvSURiJX3hWRQVuTVJH6fJOqBEGAzWaDzWZD3759AQButzsis9Zut8e0r5KSEpSUlODAgQMAgMTExIi+tXVNECKEEEIaU4sEZ00mE7777jts3LgRP/74IzweD/785z9DEARMmzaNyk4QUotCbwG6WLq19GmQOCOKIvR6PfR6fb330RgB3oZm8DaV5g7w1vRFAV7Sltxxxx244447GmVfRqMRx48fj3n9hx9+GA8//HCjHJsQ0rooioIz8l6IqFtlj262CyICs2pJho7oZrsgaulNfg4I44y8F1Yhg9ovEEKIiiho0FW6CFY5DSfkLdWukyR0RUdpMAyCrZnPrn1rzWNJZrMZPXv2RM+ePQEAPp8P+fn5PGBbXFwcU7JPWVkZysrKcPjwYQAVlXdYoDYjIwMJCQl0XSeEENJsWrRT+jXXXINrrrkGAPDnP/8ZADB9+nSYTKYWOye73Y7Nmzfj5MmTcDqdsFqt6NatGy677DIkJSW12HmRti8YDmL18VVR13txz0zc2PkWPNJ3ErSithnOjLQXjRHgVRSlwQHeQCBOUnYraYwAryRJDe7BSwFeQggh7ZmMIDxKCSyo2/Wwi2Vw1OWxBmcBwKOUQEYQEmhiMSGEVJas6Q5JMOB0aA+8KAUAGJCIzpoLkKCpfqIMqZ/2OJZkMBjQrVs3dOvWDQAQCARQWFjIyyAXFhZClqNXw3C5XDh69CiOHq3I9DYajRGZtUlJSfT8TQghpMm0aHBWLTs7G4IgQKNpmXImp0+fxh//+Ef8+9//rvYCLkkSRo8ejVdeeQWdOnVqgTMkbVkwHMRLe/6M3SWxDQh9fvozFHoLMH3In1v9TTVpWwRB4EHE+mqMAG8wGIzLMvmhUAihUAgej6fe+6AALyGEEFJ3Zm3tE23N2sTmORFCCGknbGIm+mszIKOiupIGWspKbGQ0llRBp9Ohc+fO6Ny5M4CK5+6ioiIerM3Pz0coFIq6H6/XixMnTuDEiRN8vxkZGTxgm5aWRs/ShBBCGk3cBGc3bdrUYsfeuXMnbrzxRtjt9hoH84PBIFavXo0vv/wSX3zxBS688MJmPkvSmriCLpT6i2Nef/XxVTHfTDO7S3Zi/oFXMLbH+KjrJutTYdFSL422QPR6qu0525a0VIA3GAzC7/e3iwCvRqNpcIC3pSZTEUIIad800MIkpACIrd8c4w7aYdWl1Lq8LkxCCjRoOwPbhBDSFARBoAoDKnUdK4qmqceSoonXsSZJknj2K1DRwqmkpIT3rM3Pz4ff74+6n0AggFOnTuHUqVN8vx06dODB2vT0dEhS3AytE0IIaWXi/gricrl4eeGmaNTudDpx2223obS0FIIgYOzYsRg3bhzOO+88WK1WOJ1OHDhwAB988AFWr16NkpIS3HrrrThy5Ag1jidVHCz7CUsPLcJJ14kG7UcranF3v3swqvedyLJ1Qa7jFNYe/RhrDr+PYPhcT8/vC77F9wXfRt2fAAFdLd0wqf+T6J84sO4npCgQAo6Kb3U2gGa7Nr5wGOajP0ddLWnHDni6dIVr4ECAZmzWqCUDvJVfi8cAryzL8Hq98Hq99d5HQwK8er+PhmgIIYTUiyAI6KQ5H/mIfg+sdsq1DwOTr6pl+f7YzwEiOmnOpwwwQgghMWmssaJoGnssKRr1WNMgTZcG76+piKKItLQ0pKWlYfDgwVAUBXa7nQdq8/LyYpr8HAqFcObMGZw5cyZiv6xnbUZGRoPGIAghhLQvcRmc/eKLL7Bs2TJ8++23KC0t5a8nJycjOzsbjz/+OK677rpGOdYbb7yB/Px8mEwmfPzxx7j++usjlqekpKBbt274zW9+gwceeAC333478vPz8cYbb2DatGmNcg6kbfixZBf++uNMhJTopVJqoxW1ePvGFRiUdq4vVvfEHpgy/Blc0+06PPr5AxE31bFQoOCk6wSm7/wTZlzwIi5IGRrztvrT38K6Yx50RXsAAIG0IXAOfxb+ztl1Ooc2Q1EghCtmWCqivnEC1eEwEnbugL6oKKbVTad+gcbrQfmw4RSgbUKNFeANhUIN7sHb1gK8iaV2jI6yzp49P0K2l0YN9NJMZUIIaX9sYib0mksAxB5QPen4ER3NfZGkr9rr0O47i5OOH2Paj1FIRBfNRbCIaTEfmxBCSPvVWGNF0TTFWFI06rGmuX1n4PJG3XvTEQQBycnJSE5OxsCBA6EoCpxOJ8+szcvLg9PpjLqfcDiMgoICFBQU8P2mpKTwzNqMjAwYjcamfjuEEEJaqbga0fT5fJgwYQL+/e9/A0CVweiSkhJ8+umn+PTTTzF69GisWLGiwRe5tWvXQhAETJ8+vUpgtrJrr70Wzz//PF544QWsXbuWgrOEUxQF/8xZ0Sg323f3uyfiZlrtvLTzcVe/cVh1cGW99h1SQliV8x6GJF8Y00x/Xf4OJH8+AYLqBl5XtAfJn09A8W8+QjBjeL3Oo7XSuU/CUvwtdP58AEBAnwFXajYC5m41biMEgxB9vlr3az76c8yBWUZfVATbnh/h7t2nxnXCBgMULZXba0mCIECr1UKr1cJsNtdrH205wFubo0dzUFZSEnU9URQbpUQzZT8RQkjrYhKT67R+GDK25K1GN9sF6GIZDLM2Ee6gHadc+3HS8SPCkCPW76m5Enoh8tqtFUyQBMqIIYQQEpvGHCuKpinHkqIJKSF8dmotLsdlta4Xr22aBEGAzWaDzWZD3759AQButzsis9Zuj97+QFEUFBcXo7i4GAcOHAAAJCYm8hLLGRkZVIWxqTVFQgUhhDSRuArO3n333fjvf/8LRVFgMplwww03VCkv/Pnnn8Pj8eBf//oXAoEAPvnkkwYd8+jRowCAu+66K+ZzfOGFF/Dzz9HLj5L2wx1y46ijcX4nRvW+s9blt/f+bYNuqH92HIE75I6pL0jC989FBGYZIRxE4vfPoWj0V/U+j9ZG6z2NpDP/goAwf03nz0fSmX+hNGscgsZOkeuXlsJyYD+0Mcy2rEIUIQwcBLFvXyAhASgvR/jIESg/HQDC545vyMuDIS+vxt0oAEJWK5yDzkMouW4DmCR+NFaAV5blBgd4w6rfv3gRDofh8/ngizIJojaxBHjD4TAEQcDAgfUoDU8IIaRFJIpd4cK5EpJhyDju2Injjtr786WKvZGo6VTrOoQQQkg0jTlWFE1TjyXVRlJEXF0evaJEa2rTZDab0atXL/Tq1QtARUIRC9Tm5+ejuLg4pgnQZWVlKCsrw6FDhwAAVquVZ9ZmZmbCZrPF+URhBYJOgRB0AooS18HO+iRUEEJIS4qb4Ox//vMfrFu3DoIg4J577sGiRYuQlJRUZb3y8nI8+eST+Oc//8m3ufXWW+t9XLfbDaCiZHIs2HpsO0IaW5at9j4dWbasZjkPwV8ObemhGpdLpYch+Muh6BOa5Xxamq1gQ0RglhEQhq3gS5R0e4C/pi0qQuKO7RDqk6koitDcehuE9PRzryUlQXPJJVC6d4f833URAdraCAC0TieSftiKsuEXIZhG5ffaK0EQIEkSJEmCyWSq1z6aO8BrcbpQllz1PqAp1CXAS8FZQghpPTLFAXAIPjiUmiezVWYTMpGlib0FCCGEEBIPWmosSVJEvBr6DUYoXWNav7W2aTIYDOjWrRu6desGAAgEAigoKODB2sLCwpiedZ1OJ5xOJ08WMhqNPKs2MzMTycnJcROs1XfyIWFYOXTpQeDbmxE4FL9tzuqaUEEIIfEgboKzK1asAADceuut+Oc//1njegkJCVi5ciUcDgf+85//YPny5Q0KzqampiIvLw+HDx/GiBEjoq5/5MgRvh0hjFkyo7etT6PMiMx1nEL3xB41Lj/lONWg/fex9YVZip59p3Hn17pcgAKNOx+hdhCcFWQftIGayw5LgSIIsg+KxgAoCixHDtcvMAtAGDgoMjCrXtahA4SBA6Hsj72/GgAIigLLz0dgT02N61mOJL41RoAXAEJeL5RZf4663o1ffonTFw3Hgeuvhz8cGRSWZTnq9oQQQoggaNBTGomToS2wK9HvoVPF3sjSDIUoaJrh7AghhLR1jTlWFE19xpIsig5pSsPK7D4oD485MMvE0qYpmpZu46TT6ZCVlYWsrIqgdygUQlFREe9ZW1BQgFAoejlrr9eL48eP4/jx4wAAvV6PDh068Mza1NRUiC0QxNZ18CP1hmKob4niuc1ZXRIqCCEkXsRNcHb79u0QBAF/+tOfYlr/2WefxX/+8x9s3769Qce96KKLsHbtWrz66qv4+OOPo67/6quvQhAEXHTRRQ06LmlbBEHAvb3ux19/nNngXiJrj36MKcOfqXV5fUmChHt73R83s/BaC03IVety4dd1QhoDhFAI2vLyeh9L/LW/Sc3L+0GuY3AWALRlZRBCIepBS1qUEgxCfPY5YOvWmNbvvH0HOmskCP/3KgTV725jZPBSgJc0ta+//hpHjhzh11xBEFrl90Xhwqjv9fDhw7Bry+PifOP1e9JyREGDLtLFsAdrD872k26EWUxpprMihBDSHjTmWFE0dRlLGhzOxB/lK9FbaYLEk0Zq0xRNvLVxkiSJB1SBiupMxcXFPLM2Pz8ffr8/6n78fj9OnTqFU6dO8f2yYG1GRgbS09MhSU0/nJ94WRmqm6sWj23O6pRQQQghcSRugrPFxcUAgP79+8e0fr9+/SK2q6+JEyfi008/xdq1a/HAAw/g9ddfR0JC1UxAh8OBqVOn4pNPPoEgCLj//vsbdFzS9lyQMhQvDXsFSw4twi+uk1BQv8zJNYffx7XdrsegtMFVlu0v2osPD39Q530KENDV0g2T+j+J/olUkjOuVfP5U6flhDQyxekECmt+0KnTvt75e8yBWW7rVigz/ww8/BB/SQRg+PUrgqSt+DJVUx0gPQ2C1cp/rGuA1+v1xvQwTQjjcrlQVlbW0qfRYE6tA+hc+zr79x/AySiBr/aupYPD9fm+pY8f7XtLMIhoodSTJ07Aa6i4WogdjQjrvNWupwmaUHTWiWLB1eLvqyH/VoQQQuJPY40VRRPrWNJF4Sz8X+hWaNEEVSIasU1TNPHexkkURaSnpyM9PR3nn38+FEWB3W7nmbV5eXnwequ/L1ELhUI4c+YMzpw5E7FfVga5Q4cO0Ol0jXrugi4MXUqwxuXx1uasLgkVhBAST+ImOGs2m1FWVobS0tJqe81WVlpayrdriFGjRuE3v/kN/vvf/2LlypX417/+heuuuw6DBg2C1WqF0+nETz/9hC+//BIejwdARenl2267rUHHJW1T/8SBWDhiKVxBF0r9sU0cKPAW4K97ZvKfg+EgHvn8ftzVbxxu7/1bZNmycMpxCmuPfowPD3+AYDjyBmnmkBeRbuxQ6zGS9amwaBtWqobERpEkBBMS6p89W14O1PYZWM/9BhMToTTD7ErSdih790KZ9wpwNKfpDqLTwfLA/TCPGwupe3eETpyA+4PVcC1fAQQC59b76isoXzVwZq4gQOnVE8Kzz0I4fzA0Gg2MRiOMRmNMmzudzph60hJCSHWUX9sdKPVse0CqSpUkXNKh+lYQzI6dO1H8a0lBc7qIPjcYIGoig5hhWcHhL0vgLvqyyc61ucRDoLgpJgGY8gsQrW7V7t274cvPi4v3VPn7cDgMt9uNzp2jzHQhhLRZ9RkriqZeY0kK8Jg8omkCs0CTtGmKesxW0sZJEAQkJycjOTkZAwcOhKIocDgcPLM2Ly8PTqcz6n7C4TDPxN2zZw8EQUBKSgrP2s3IyIDBEHsQUgkGKyZRq2jMtVeZak9tzgghpCnFzUh97969sWPHDnz00UeYNm1a1PX/9a9/AQD69Kl/fwJmzZo1uPfee/HJJ5/A7XZj7dq1WLt2bcQ6bCDlt7/9Ld57770GH5O0bRatJeZgaBdLN9zY+RZ8fvoz/lowHMSqgyux6uDKWre9sfMtGJZ2cYPOlTQyQYCrbz8k7ther76z4SNHoLnkklqWH67zPhVBgKtv37h+UCHxRdm2DcqUqUAMPXLqTadD2r//Bf2FF/CXtL17I3HmDBhvuQVFo8dEBmgbSlGAozlQHp8EvP43CBfTZychhLQn7sIwcr7yodOFOpjTKgal3UUyzuwOwF3UOFk8La2tTgJILLVHDc4eO3YMZfbSZjmf+qLgLCGkLmNF0dRnLMkCHQYqtU/ub4imatMUTWts4yQIAhISEpCQkMCrQ7pcLh6ozc/Ph91uj7ofRVFQXFyM4uJi7P/17zYpKYln1mZmZtaY2KQEg1D+8Me6V7cihBDSKOImOHvbbbdh+/btmD17Ni6++GJcddVVNa77zTffYPbs2RAEoVEyWI1GI/7973/jf//7H5YtW4bvvvuOZ+YCQHJyMq644go8/vjjuOGGGxp8PEIqe6TvJBR6C7C7ZGfM21yYMgyP9J3UhGdF6iuYlgb7JSNgPbAfktOJuoRElZ8OQOnRo9rZpkpBAZSffop9X4ivHiykdVAUBcqbS5s2MAvA8sD9EYFZNf3QC2G5fyJcy95u/AOHQlCWvAVcdBGVgCRNaujQoejbt2/F/ylVwKS1fV8cLkK06nsZGRlIRkpcnG+s35P2yZkXxuHPfND8Wv1PbsQ5QIQQQkhzq89YUpOiNk01iqVdkBlAT0FEz46dgI6d4Pf7UFxcjKKiIhQXF6OsrDym+1il1I68Y8fBOvqazWakpaUiNTUVaWlpMJstEAShfm2H2DFyT0Oxx0cwXFHqWbmOEEJaWNwEZ5988kksXLgQRUVFuO666zBu3DiMGTOmSnnhDz/8EKtXr4Ysy8jIyMCTTz7ZaOdw00034aabbgJQ0WPW6XTCarXCZrM12jEIqY5W1GL6kD9j/oFX8H3Bt1HXv7HzLXik7yRoxfi4ESJVhZKTYc8eCSEYhFhLKVTR40HSzh3nXgiHIa/7D4SBAyH27Vfx8FJejvCRwxWB2Ur9WezDhyNsNFW777DB0KpmjpI44XIBBw82+WHM48bWvvyecU0TnAWAn36qeJ+qHrSENLaOHTuiR48eLX0aDXbKdRL/3PpuretcccXl6GLp1jwn1EgqB2rjJWhM30cPqrPXEmPo2ZecnASEa9m3kSYBEEIIab3qOpZ0eefrECi1QVfuaJoTaqI2TdE0ZhsnRVGg/FrVV9A0vKd7Q9oF6QB0/PWrsVV7l8LaDt00FPjsltq3/+Mf4yc428kKvHJ9S58GIYTUWdwEZ61WK9atW4cbb7wRdrsd77//Pt5///1q11UUBUlJSVi3bh0slqbpo2mz2SgoS5qVVtRibI/xUW+oZw55kUoZxyExWA7oU6u8rmi1kGsJkMpWKzxdusJ06pdzL4bDUPbvj1rux9OlK4LpTVeSiETX2A9u7YnUvXvty7t1a54TIYQ0WKG3oNUFZyv3vCStj8bpBL79ptZ1rrnmWsgtPBEnXgLbTR0sb8rv9WfPRv177tGzB7wZGXHx91L5e0VRIMu19+8jhJD6qutYkruoCNp6tmGKpinaNEXTmG2cfI4gHGf8CHoqPrO1Jg1snfQw2OoXhGyWdkGNRd12qDD2im2tRU1jdoQQ0pLiJjgLAMOHD8eePXvwzDPP4OOPP672AUaj0WD06NF45ZVXkJWV1eBjXn311RAEAevXr4der4+6fjgcxrXXXgtBELBx48YGH5+Quko3UjCuWSkyzCVboq6WfPbf8CQMgSP9moooXR24Bg6ExuuBvqj2Ejdq/rQ0uAYOrNNxSONq7Ae3uGGxAAMGNHn2bOjECWh79651eZMZOLDifRJCahUMB7H6+Kqo6724ZyZV9SCkBoIg0CSABlKOHY+aJz30wqEQesZntYJQKBRT30BCCGlKbCypIW2YomnMNk1Rj4XGbePk///s3Xl8VPX1+P/XnTv7lmRCQpB93wTEiooLiG3V2irUpYrVautSRG2ttR9atypfq+KOVqHVtlZ/qLWLWvdqq6LigkWsIouACLIGkkxmn7kz9/dHuJeZrJN9kpynj3mYzF2HJDP3vs/7nBPW2LcxmpNSmoqm2bcxSr8xHhze1g2h63rXtAvqKM21HSpoqoL3u+NbXK09Y3ZCCNFZCio4CzB48GD+8pe/sG/fPlasWMEXX3xhlhcePnw4Rx11FKWlpR12vDfeeANFUfKeyarrurmNEKKX09OUbP8Hjmh+QSJ3cDVqKkj1wNNad7FnsRA8bBr+1R/h3LmzxdWjQ4bWBWYtlvyPITpUR9+4FRJFUWD+vE6f4Rt54kmKb7i+2eWdwmpFuXSefI4L0YJUJsVvVt+Ydw+zl796gT2x3Vx7yI0SoBVCCCGEKGD5tmFqSWe2aWpJR7dxqtkaa7zWr163rP+EVlbi6KJ2QR2lpbZDBUlVCPz8KJxTKvJavc1jdkII0UkKdvS4tLSUU045pbtPQwjRDDX0FVpgbHefRpsp6TiqFm5yuWffirwDswZH9AuKdr5ApPSoRpenrV501dlwgcVCZPSYFoOz1dOmSSnjAtDhN24FRjniCFi6BH3RIti4CTqh5FX4T4/g+s53Gp2dm/jvKsKP/LljD6goMGokyoIFKFMmd+y+hegFwqkwVYm95vdPbl6Wd2DWsGrfh9zz6e2cPeL7AAQc/fDaJEtdCCGEEKIQtdSGqSW9pU1TRtPRYpkml2uxDBlNx2LtvRN8W2o7lA/FbUMtaWS8q5N4vzs+78CsoaUxu87Q5DigEKLPK9jgbKEKhUIAOJ3ypip6sXQS76p7Wlyt9JUfEBl/HsGjFoJq74IT6xi22Ff4d7+KLZl/GWGgbmbdwBkoA44AVxnEKtF3vg/bl2M2HgVc4XW4wo33UtEBzV5Gbf8TSLkGtvrc2zqrVHScvnLjpkyZjPL4MvRQCPa08m+lEfqOnXDVVQeeSCapPP0MvBecj+ecuViHDUP74gsiTzxZF5hNJnN3cM/dKAMGtP0EystQurnvoBCF6LOaNSxdez9bws1PRrJZbJw17hxmjz6Nwf4hbKvdyrOf/4O/rHucVCZlrvf27uVmzzMFhaHeYVw6/grGF0spftH1LLFot/ecFUIIIXqz3tCmKZ1q+v4+ex2LtRXZll3ULqijtNR2qDn2MaUUXXAItqHFHXtSrdUBY3adob3jgEKI3kuCs/vlW97wr3/9KwADB8qbqeil0kkC//oRzm2v57W6Z+1jqOGvqDrhjz0iQGuPbKFk+99QaPniO4eioky9AsU/7MBzngqUUbPRy6agr74/52Kvyd0AtmQlgW1PUD3wDJKeYS1tIgpMp9y4FTDF54MOGNhWRo4gc/pp8Pd/HHgymST8+4cI//6h5jc+/TQsxxzd7nMQQuT6aN9/+X8f3YCmN1/C3Gax8dBJj3Bw2YGs8+HFI7hy2tV8fdg3ueTlH+YEaA06OlvCX3Dth//H9VMXMrX0ax3+GkQvpusoydq6L+3+ugoIhkwGz+cbWtxFycqV0g5CCCGE6EzSpqlRXdUuqKO01HaoPtWroVXbcBxcTuAXR6NYu/nn2UFjdp1yasg4oBCicX0uOHv88cc3+vxJJ52EqjY9kJ5Op9mxYwebN29GURRmzZrVWacoRJdQEkHUyK4Gz3tX3ZN3YNbg3PY6xa//hPChP2uwLO2pQHcUtfk8O5Su4927vPWBWaibfWde5OmAkdVnRykahj7wWPjqjbx3p5DBu+8tqtxDcwcbhejFlJ9fVZdB++67+W80fTrKz69qeT0hRKvous7/t/GRFgOzAGeNOycnMJttUtkUvjduLss+e7TJ7TVdY9nGP3NI4FDp9yzy4vhqOb6Vi7BXrgYgWXYIoWkLSAyaAZkMRR+uzDtDx731S9RYlOBh03r9QHBvp7jrSm/q0YaTQYQQQnQjadPUqK5oF9RRzLZDkyfCmwtbXL/spH2EP/NgPWFG9wdmod6YXa62jNl1BhkHFELU1+eCs2+88QaKoqBnfSDqus5bb72V9z7Ky8u55pprOuP0hOh09l0rKXr7V9iq1ua3gWqHw6+AQy+EwGio+hxW/QE+uB/SB8qOujc/h3vzcw0211HQAuOoOeZWUhXTOupltImSSWBPNAxI57XtgCP2f/UVsBIwBgTLgGkoA45Eb+WFnj2+EyWTkN4Tos9QbDa46w70G26E115reYPTT0P5+VV12wkhOlREi/B5bcuZhwCzR5/W7PI5o09vNjgLsKF2PREtIj1oRYvsu1YSePkHKFnZ2PbK1QRe/gHVx/8Ze423VaUTARyVlfhXf0Rk9BjzuYzTiS6fLz2CXd+Nb+Es7CMDACQ3VRF6ag2JT/d085kJIYRojd7XpklHUeomOuq6lbocyVwd3S6oozTadujM0+l/noqNjXntwzshgh59Bz1zCli6t3LYgTG7ppa3fsyuM8g4oBAiW58Lzs6YMSNnxv6bb76JoigcffTRzWbO2mw2+vXrx+GHH855551HaWlpV5yuEB3K8dXyBoNdzVLt8MPlMCjrIqdsPJx4J0w4Ax6ZmROgbYyCjq1qLf2eP5Oqkx6ty3joiVxlwC7gZcjJvK2se851creclhA9jWKzwUUXorcUnL3nbillLESBGOwf0sLywV10JqIvKHr7V41eqyqZFCVv/B/p/vVK7lksKBMPxjJ2LBQVQTBIZv169DWfQubANZtz586cjB4d0Hw+QgdPQgsEOuvliHayxb4ikHkbZeSBn5F9ZIDAL45m781vkvq8qhvPTgghRF/lcFTi863Dbg8CkEwWEQqNI5Eoa3T9jmoX1Oi+m6iM16ySfmS+NxNePXBf7p+6Dxux1h276ktY+wr6sOaDo82ye8HmaPv2sH/Mrh3LhRCiG/S54Owbb7yR871lf2mrl19+Gbe7t83gEiKLruNbuSj/wCzUZcwOauICa/CRcPjl8O7dee1KyaTwrbydxMBju618h25xkHRUtC17NlYJnreh0ZLIGdCXt3qXSecAdEs7L0CF6KWUAQO6+xSE6NU8Vg+j/WPyyp7dVruV4cUjmly+tXZri/sY4x+Lx+pp1TmKvkdJBJuv7qJth0wULPvv2ywW1FNORSkvP7BOSQnqkUeiDx9O+vnncgK0OccCbKEQJe+9S820w0mVyaBdIfLvfhWFhmUgFauF4h9OpfKaf3fDWQkhRM+jpdNo+3ufZvZ/Nuq6biaw6LpOJpMxv8/+vzF2arFYcrap//++wm6vIhD4AEXRs54LEgh8wN6900mlumbSV6sr49VXBJzRzPI8K+kplZ+jVH7etnOgbsIcnn7oY2ZB0UFt20msEjwVzS8vADIOKITI1ueCs/XdcMMNKIqC3W7v7lMRolMpyVqzb1feDr2wheUX5R2cBbBXfoSSrO2+HrSKQrjfDEq2/63VfWf13e+ijGhmZr6lFqwW0PLbr46FcGn3BaqFEEL0bYqicO6oC/h/H93QYt/ZZz//B1dOu7rZ5c2xKlbOHXVBnxu4E62nhpvvVaegQ7rGDM4qEw/ODcxmr9u/P8rEieiffNL8PnUd74b1VPfrJ9dlBUZJx7Elmx5MtQ4uQnHb0KMp9J07UUY2PYlECCF6A13XzSCq8dA0jUgk2uK2tcFaqpPVnXZuzliMlmoMRiIRNEVBURRUVcVqtWKxWMzgb09RVPRJTmDWoCg6xcWfUFk5s9PPodWV8VqrAyrp5UsBiOyF1X9Hn3QqBIa2eh/6zvdRRs1uZvl7bT/BDiLjgEKI+vp8cPbGG2/s7lMQonAFRrewfFTXnEcHSnqGUTV4Lv7d/8KarGykI0gT9n0AI4Y3uVhRQLfbQEs0uxsd0Oxl1PY/gZRrYN7nLYQQQnS0qaVf4zeH3c6StffzZXgLeiPZaQB/Wfc43xh2AgeXTW6w7JPKj3lq3RONbqegMNQ7jEvHX8H44okdeu6id1LS6Vatbxk7toXl40i3EJwFsNXUoGia9KAtMKoWbna5YlFQS5xo0RT87Coy0qteCNHDZAdYdV0nnU6bz0HdZDrjeSMw25hEovlxCKjLes3OglX2B0kzWRUmVFU1M2ON42UfN9NENQqgyXPLlkwkSDTSUs5iseQEa61WK6qqNtt+rrsoSgqbLdTkcqs1hKKk0PVO/CxqS2W81urASnr5UvQMfPEuesmQ1gcwty9HL5+C4h/WYJEe3ALb3+qQc2wLGQcUQjSlzwdnhegrdLufZNkhrcuerfq8bmZcU/a1rmxJsmwqut3fqm06Q8o1kH3DfoiSjjc56GNJBQns+PuBJ/TWZdpWHXQ6GVvDDOG01YuuOlu1r5bouk4iWpf15HBbJTOpAGiJDDZX4d1ICiFEfeOLJ3Lf9KWEU2GqEnsB2B3bzf9bfYO5TiqT4uKXL+B74+YyZ/TpDPYPZmvtVp79/B88te4JUvUGhm44ZCHlrv4EHP3w2rxd+npEH1PUQjWWlpaLgqZrrRx0/vs/0HfshLvukACtEKKgGAHWVCpFKpVC0zQymUxeAc3GGJmniqJgtVpxKa4WtykuLqKft1+bjpfNCNYaAVzjOWse77sutwvV7SaTyZj/HnAgSG18n80I3BqP7Gzbrsy4Ne7xVTXe7HqKAqoaR9Na/vfIZHTC1XGScQ2704q3xInF0vJ4Tpsq47VWB1fSy5cS2s3DH9hJKs2PmxU5M5wzOXLgCT2N/tH96AOPRRlwZF2P2VhlXcbs9rdAz50A2NSYXWfojHFAIUTvIMFZIfoKRSE0bUHryp6s+kNdyZKmfPSHvA+vW2zUTvu/girfoatOtKYukBz9iBYdgju4utX7jRYdQtI7sn0nl6fN/6vk9SfXsWtzLQDlQ33MmjuOUYc0XuJPtI+e0QntbP5mDKBqUxRPPztFg50oedxcCSFEd/PavGYgdYh3GCcN+jYvf/WCuTyVSbHss0dZ9tmjze7npEHf5rCyJmbZC9ECvbUZMsEglJQ0vzwPqeJidKvcGreHHgrBno7t56b/7U/wXV/rNnr3XfQbboSLWhhUbq3yMhRfK89FCNHrGSWGszNbdV1H0zTzOeP/TTGCj0aw0fja2D9gPped+ZrNResCP8a+FEUhvb9qhfG98TVgBpCzz7+x9QAseXyGO50ubB6P+b2xX+Pfy3gY3xvn0FTg1gjY2mw28/+tDdi29h6/dHjbAurZ9u0Is+q1rXyy/Cti4QOvy+W1MWnGIL72zaEEBnia2UMX6MZKeifMOZed1TF27tzJzp07qaysbPA3VBlV+XC7ncMGZpVW1tPw1RvoX73R7P67csxOCCGaU7B3oJlMhurqaqLRaIszyYYMGdJFZyVEz5YYNIO93/krxW//CmvVurq+Xc354H6YeGbjpUy2vQcf/LbFY+ooaIFx1BxzK6mKaW088+5RW/511FQQR/SLvLdJuIdTW/71TjyrA9a8s51nfrua7B/jni9D/OW2lUyYPoCZ3xvb/Rf0vYie0dm3KUqitvnejIbI3iRaMkPpSLcEaIUQPc7FYy9lT2w3q/Z9mPc2h5YexsVjL+3EsxK9Xisn8WXWr0c98shmlq9rcR+6ohAeO7agJhD2JPrHH6Mvuh0+39jxOx/og++e0Owq7u+dSe0D/x8kswZnX3sN/bXXOvZcFAV91EiUBQtQpjQs8S6E6L2MgGF2CeJUKpWTNZoPRVGw2WzYbDazbG9TwdZ8ZAdzXemWM2f7lZVRUVTR5uMZrz87Y9Yoc6zrOqgt79flcpF2udB1nWQyaW5v/LvUPx5gZhkb/+ZGCWgjKJ5Op0lmfQZkl0Q2/q2bes1tucdXrQn6V+S1egNpLcO/HlnDqte2Nro8Fk7xwYtf8MGLX3DoN4ZwwgUTUa0Nz71NlfFaq4Mr6eUrWTYVm7cfQ3yKOd6fSqXYs2cPO3fuZNeuXezevZt0Os3LG10UOzOMKs3v5wewPepjbaI/FepeAoFAj+t3LIToXQouOPvII4/w8MMPs2rVqrx6JiiKgqbl/yYsRF+XqphG5RmvoSSCqJFdOcvU0DZKXzn/wBPpJPxpRl0viUMvqpsZt+/zuozZD35btzzLvhMfJe0blPNc2lOB7uihJeUUleqBp1G08wVcmZYDtHHfWGr83wSlc8vZtnRBD/DZuzv57N2dzV7QC8hoOulUfiWrQzvjed+0GRK1GtVbovgGtDyTWbVZsFhlYFgIURhsFhvXHnIj93x6O2/vXt7i+icN+jYXj70Um0VKiYquo6/5FH3ECJTyhhVD9N270desaXpbQPP5CB08CS0Q6MSz7L30999Hv/Iq6Mb7cd+l83DMmk3lGWfmBmg7mq7D5xvR510K996NcoRUCBCiNzAyW7ODr0bgzwj+NddnFTADrNnZqEZw0AieAs32T80u22s8so9r9GHNzp7NDirVWKpbfK0KbQ8EG+fQ3Pa6zU4a0BSVlOpodB2rxYnN6gbAZfOY/77Z2bLG1wfOW637z7r/GnP//7KDs0YAV9PSJJNpwChhGwNAVS1YLCqqajEDtoqitOkePxlueX0tniaVyi2jm9Yy/OO+VXzxyd68jrPqta1U745y2k8ObXQ8Z9/UGyh6+xqUTNPnY0vtxppuuj9u8yfQcZX08tVUxT2bzcbAgQMZOLCuX2s6naayspJdu3bxzs7tJDOfM6Gs5WuAD7fbeXmjhYz+vrnfiooKKioqGDBgAGVlZQXZ51gI0XsVTHA2nU5z+umn89xzzwH5zzwTQrSN7ihCqxc01QJjiYw/D8/axw48mU7W9ZFooZdEZPx5JIZ2TcZol1JUIqVH4apsOTgbLj0atM4PzD51x4ds/ji/snGrXttKTWWM7/3iMAnQZkmENWq2xtBireslnE2xKJQPK6FsSDFOj514JEnl1hr2bKlGzxz4DItVa8SqG+9tXJ/VZaF4iAuHt2A+noUQfZjNYuPsEd9vMTh7wyELpZSx6B6ZDOnn/okycSKWsePqeswGg2TWr6sLzNYbUK+eNo2Mq25QOON0oktf0jbTdR39waXdGpg1OL52KN4Lzif8+4c6/2Cahr7kd3D44TnlPIUQhccIvBrZro0FXOuX7G1K/cCo3W7PK+han8ViweFwYLfbzX1mlzFuq3JP822NFJQW12mvUG2SL0unEt/fJqNRH+0D9nXSGVj2Pxo68EmVARL7H5CIa0TDBxKDFEUhMNBPYIAfh8tGIpaiamctVdtrzd8TjxZr8Ux2rtvJvu3RnOc+XrGNLevzC8wavvhkL3+/cxVTjhrcyNLBUPZYI89n0XWc8S0ctGsJ7mjL1USKHTW4bftfXwdU0stXayvuqapqBlU55BAssT2w7ZFmt3n8Yw8bq3Ov+1KpFNu2bWPbtm3mfsvLyxkwYAAVFRX079+/QUa3EEJ0pIIZ/X3wwQf55z//CcCAAQM488wzGTt2LG63u5vPTIi+JXjUQtTwVzi3vZ73NvHBswgetbATz6pnUNUompZfL6p4JEWoKreviSUSIVnT/Hb//MM6Nn/cugv6zR9X8uxvV3Ps6S30DMniCzhxenrnRWi8NsW+jVFaqurdHMWiMO6ooXhLDpSPcvkcDJnYn8BBftat+DInQJsvLZZh74YIpaPcOP29899fCNH7lLv6d/cpiD4kPmAAzuxLoUwG/ZNPSH/ySbPbRYcMJVUuv6sdJhyGzz7r7rMwec6Z2zXBWYA1a+pev/SgFaLbNZb5agRj862yl53pagRf62e/thQ8rZ/Nmt3/1MjSNPbXGXx2P6NLxvB59YZGl48qGY3P7u+UYwMEK8N8/mk1enOB2QKy+6ta3nttI9WV0ZZXzqJadc6/tuX1vnbCJt56Bv56H6S1xifyWG0WZp42kaO+PZayQUVUfhVkxQvrefMfa9CyqnttWb+31UHdhubmtZZChoO82zl77DJGFG1udyW9fLW34l4+kxuCiZbXSafTZp9bqPu7LisrMzNrKyoqcDgazwoXQoi2KJjg7KOPPgrAsccey0svvSRBWSG6i2qn6oQ/Uvz6T3Bvfq7F1SPjz6sLzKr2Lji57pJBGdqvxbVKS1cSiQwlGJxIUzM2t62v4uU/fMqerU2VlmlpBn7uRXm+F/Rr39vJ2vd2tvgask+jfLCPb114MIPG9p5Sf7quU7s90a7ALED5sJKcwGw2b4mL8mEl7N5c1bad61C7PYHDZ5WMDCGEEH2WDqTVuuCXmg6ZV0jRUaNQlFoclflVEQFIlJURnjix409SFAzrsGHdfQpCiE5gZLoaGa71g68tZb4agVar1WoGSY1sVV3Xc8oON8dYLzvImh18LYRSqAuOvI55r/wIrV6ZW6vFyi+PvL7TjqvrOtvXVdJTCiDu2FLNa3//jEwrJ1OrVp0f3wITm251n+PYORCogN9dozcI0FptFq68/xSGTziQzVwxrITTLjuSqccN596fPJ8zntNVdCxsDw/m3lVXc+mU+xkfWNtrKumdfPLJfLk3wa5du9i5cyfBYLDFbXRdZ8+ePezZs4f//e9/AAQCAQYMGGAGayV+IYRoj4IJzq5fvx5FUVi0aJG8sQnR3VQ74UN/1mJwdt+Jjxb8BVj7ZSjqvx7Fnd8sPo/nS1Q1SlXVNOoHaDf/r5K/LFpJJt0xdy2dekGvw56tIR5b+B5nLZjGiMllHXLO3U1PQyqabnnFFpQNKW5xeZuDs9Sdo54GpWA+pYUQQoiuE/RNZ/vAnxLxTAbAE/kfA7cvpij0LigWgodNw7/6I5w7W554Fh0ytC4w286SkaIerxcmTOj27Fk9XoXiGYD2RcstSDrMxIl1r190mDfffJMHH3yQFStWsGfPHgKBAF/72te45JJLOPXUU5vcbt26dVx77bW8/vrrxONxJkyYwFVXXcU555zT7PFWrVrF4YcfzsCBA/nss8/weDwd/ZJEGxgBV6P3aCqVyqvkcP3M1/rB03zUz3A1/m8EXntCadNDyqdy79cfYMlHv2XN3rpqEhP7TWL+1CuYUn5Ipx03rWWI1MRbXrEbqFYNmzOR9YzOti82039I68dJvnV+/oFZw8Qj4fxr4aU/5/4eH/GtkQyfYAUajhkMn2jj2xeO5IOXc7Oga/ZCLNw1k7fTupXnNs9hXMna+u1fG+gplfQ8Hg9jAkMZM2YMANFo1AzU7tq1i3378iu3XVVVRVVVFWvWrAGgqKjIDNQOGDAAr9crk+yFEHkruGHfcePGdfcp9FlyQ9T9Ao7mszMVlBbX6UptLVnSHRQlhaq2/obB692Aw93yjLpsTmclxcUfEQ6PMZ/TdZ1P3/qM/oMbvwloy4X2zNMm5gRmsw2f2J8Z353If55qvsRfSzJpnTf/soHhk/rJBWYWp6f5THFHC8uFEEII0biQZyqfj1qKbjkwEB7xTObzUUsZu+H8uicsFiKjx7QYnK2eNk1KGXcSRVFg/jz0K6/qnL6zqoL3u+NbXu+Th8gcdBSRJ9d2/Dk0xmpFuXSeXBd3oGuuuYbbbrstJwi3a9cuXnjhBV544QXOO+88HnnkkQZBtjVr1nD00UfnZD/997//5fvf/z7btm1jwYIFjR4vk8kwb9480uk0999/v4xDdAMjAzaZTJJMJs2SxE0FYo3s1/qBUyP4aixviqIo2Gy2nB6vRqarsay9PV8LxZEHHcURA6YTTtVV6vLafH3y/cpbEmTopE24iyINlk2a1VFHsQAHA2OBIiAIrAc+pa63bZ2vfb3ukWvD/kfjTjin7pEtk4Edm3WevBu++LTzf6Zf1g4nprkO9KBtRE+upOd2uxkxYgQjRowAIJFI5ARrKysr85ocEgwGCQaDrFtX19PX4/GYmbUDBgygqKioT/4NCiHyUzDB2ZEjR/K///2P6upqiouLu/t0+hy5ISoMXpuXYd7hbAk3PvN7qHcY3h7Sw6NQ2O1VFBV9gs3WVBnh1srvAtzt3onbnTtgOO83Te+1LRfaR317bLPLj/7O2HYHZwF2bKohEdV6RQ9aRQWbW2139mw8ksTla7rXSCKSbHJZPmxuFaX7K2MJIYQQXe7LIdfnBGYNusXGl0NuoPFpaY3LuKQiU2dSjjgCli5BX7QINm6iw2paqgqBnx+Fc0pFfuvvWIG9eA+oCnRQhZoGFAVGjURZsABlyuTOOUYf9OCDD3LrrbcCcNhhh3HbbbcxefJktm/fzh133MHjjz/OY489xoABA1i0aFHOtvPnzycYDDJp0iQeeughysvLueeee7j//vu57rrrOOOMMxg5cmSDYy5ZsoSVK1cye/bsZiehi/YzShIbWbCpVKrZIGx2+eHsrNV8AqeN9Xa12+29KvCaL0VROrW/bH2q1YKn2Fkw2bP+ftWMPmINFktn1lm2AKdCzlVJCXAkMBx4juzxoQ45ogUGjYIrF8OSBTrrPuzegF9vq6TncDgYOnQoQ4cOBSCVSrFnzx6zB+2ePXtIp1seR4pEImzcuJGNGzcC4HQ6zazaAQMGEAgE+tx7khCiaQUTnD3rrLP4+OOPefHFF7nssss65Rg/+tGPOmxfiqLwhz/8ocP2153khqiwzBt/Bdd9+H9oer0+IYqVS8df0U1n1TM5HJUEAh+gKB11Ud55F+BtudAuG9R8qeWWlvdFiqLgH+hg38Zou/rOVm6tYcjEpjNxKrfWtH3nCvgHOmV2pRBCiD4nk1aIuZuupBRzjYHgxxBofoKa6DrKlMkojy9DD4VgT8M+wIqeRKXprJvGeDNrcfJVq7ZxTi6n+NJphJ/en0G7YAFKWcsVh9K40JU8Mn7Ky1B8vladk2hedXU11157LQCjR4/mjTfeMCdtl5WVsWzZMnRd54knnuDuu+/m4osvZtSoUQB8+eWXLF++HIAnn3ySCRMmAHDffffxzjvvsGrVKpYtW8YNN9yQc8xdu3Zx7bXX4vF4uP/++7vqpfZqRvDVCFrouo6maWZf2OYCsaqq4nA4cjJam7oHMoIZRgDWarWa2bDZmbCi6ymKwsBxZXz+/rYC6DurM3Dclk4OzELdhP2mpov1ByYC7Z8o3xirDU65CNZ9qAOdN2Yw1P8FLmvTn9+FVEkvbW0+iUXPY536bDYbAwcOZODAgXXHSKeprKw0M2t37dpFKpVqcT/xeJwtW7awZcsWc79GsLaiooKysjJ5/xKiDyuY4OzPfvYzli1bxo033sg3vvENxo7t+BvuRx55pEMGu3Vd7zXBWbkhKjwTiidy/dSFLNv4ZzbUrgdgjH8s5466gPHFE7v57HoSHZ9vXQcGZqErLsBbc6Fd+VWQimElTS7f81XryjE35aCRxTjcBfNx0W5Ov41+YzzUbI2hxdoWTN+zpZrAQX68Ja4Gy8LVMfZsqW7Tfq0uC8VDXDi8veffWwghhMhLOon9k2VQdFXT6ygWfG/9msxX0wlP+kXXnZtokeLzQVbw0hb7Cv/uV7ElGwZsW79zFQbOQBlwBLjKIFaJvvN92L4c9ANZLO7pg3FPH7z/u4/ymjOpA5q9jNr+J5ByDWz/uYq8PfbYY9TU1ACwcOHCRqtp3X777Tz11FNomsaSJUu46667APj4448BGDFihDkOYZg9ezarVq0y18n2s5/9jGAwyB133MHgwYMbLBfNMwKu9XvDNscIulqtVux2uxmAbSpzzChXnB18NQKyonAVlXkZe3AJW1ZtI2710GKj0k6iWtN4S8JdcKSWxqzH0VnBWYBhE8DlhVgnvVSLrnHqiGe668fYarrqJGUva/KaQ7OXoavOdh1DVVUqKiqoqKir6pHJZKiqqjIza3fu3EkikWhhL3UZudu2bWPbtm3mfvv3728GbPv374/VKuNBQvQVBfPXvnv3bv7whz/w/e9/n2nTpvGTn/yEk046iYMOOqjFN6UhQ4bkdYwZM2Y0eUG3ceNGtm/fDoDL5WLMmDF4vV7C4TAbNmwgFovVzQYbOLDRTNCeSm6ICtPU0q9xSOBQIlpdfwyP1SM3I62kKBp2e8cEJw/omgvwfC+0V7ywntMuO7Lp5c+vb/e5WFSFaacMIpFImCWhesPvosNrpf8EHxlNJ51qeeROS2So2hQ1v9czOutWfEn5sBLKhhTj8NhJRJJUbq1hz5Zq9EzupIDASDdWR/Ola1SbBYu15//bCiGEEK2WThL414/QK7c1H5zdz7P2Maw1W0A5G5SCuaUV+9kjWyjZ/jeUjijpqKgoU69A8Q878JynAmXUbPSyKeir788J0LZ694AtWUlg2xNUDzyDpGdYS5uIDvLss88CdaUkv/vd7za6zqBBgzj66KNZvnw5zzzzjDkWUVtbC0B5ecOJs/37989Zx/Dqq6/y5JNPMnnyZK688sqOehm9iq7rZhasEXg1yhBnMhkymcb/po3gq8HIhLXZbM1mhCmKgsPhwOl05rW+KGxev53x+z5CU1RSauMtgNRvnoBS1JkVvpLAu524f0NLr6GHVjHTdcqTuzk58U/GBbqol3sHqe3/TQLbnmxw7aFjobb/CR1+PIvFQr9+/ejXrx+TJk1C13VqamrMzNqdO3cSiTTseVxfOp1mx44d7NixA6h7XywrKzPLIBufaUKI3qlg7mSHDRtmDvjrus6tt95qltptjqIoaJrW4noAb7zxRqPPP/LII8ybN4+xY8eyaNEivv3tb+dcEKbTaZ5//nl++ctfsmXLFhYuXMgFF1yQ1zELndwQFS5FUaS/bDs0dePYPoV1Af7mP9YwddYIhk9o+Df4xZrdLH96Tdt3rkBggItjzhpG/xFuQqG6nr3ZfYCM2cw9+QbaYlWwWFs+f5tLxdPPTmTvgV6yekZn9+Yqdm+uanZbTz87ruKe369XCFHIdBSl7npY1610ZokzIdpCSQRRI7uaXO5ddQ/Oba8Tc47Ke5+OnW+RcUXJ+L7T+ApqcSvPUnQIXce7d3nHBGahLmM2OzCbRSkahj7wWPjqjXYfRiGDd99bVLmHdlvGV1/z4YcfAnDooYficDQeyAE46qijWL58OZs3b6ampobi4mL8/rp+mnv37m2wfmVlXeaUsQ5AIpFg/vz5KIrC0qVL+3RWkhFozQ7AGkHY5vrBGoxAbPajpf6JRjasUcLY6CMrfRd7J6uexqpFG12muq0ovqb/3tvPDpQBHVC1oVlB6lpcNbe880TCPs779VQ66ppf3/YV+tW/wJeuxZlJYC1puVxvoUm5BlE98Ay8+97CHt8JQNI5gHDpsV1SGUNRFEpKSigpKWHChAnouk4oFDIDtbt27SIYbPn3Qtd19uzZw549e8yEp+LiYkpLSznmmGM6+2UIIbpYQV2RZl8EtnRB2FE+/PBDLrnkEsaNG8fbb7+dcwFvUFWV2bNnM2vWLI4++mh+/OMfM3HiRKZNm9Yl59iZ5IZI9Aa6rpNIJEgmk2ZZpXRao6TEg9vd8ky1/HXNBXhiB/x0FtRviloVht+/fuDiW0tluPeK55jx3Ykc/Z2xlA0qYs9XQVY8v57lT69Bq5cReu61R+EttZNJtzxY5gs4sbtUNE0jmUyaZat0XSeVSuX01jBmOdvtdux2e6+9yS4a7ERLZkjU5jchCMDht1I0uH3lc4QQojkORyU+3zqzWkQyWUQoNI5Eoqybz0wIsO9aSdHbv8JW1TnZF5bYf7HE/tvoMh2FwEtLqZmxiFRFz79v6ymUTAJ7oulAfKv3N+CIFpYfid4BwVkAe3wnSibR7tKHomU7d+40J3K3VJlsxIgR5tdr165l+vTpTJ48GYBNmzaxceNGs/USwIsvvghgrgNwyy23sHHjRi655BKmT5/eYa+jMXv27DHHQ/K1cePGDj0HI/hqBFyN71OpVIuTmI1esNm9XBVFMZ9v7F7PmMBrMCbwGveIvfX+UBQiBZgGvExete3bbD3QdBUzWNdpR9Z1hVh8AmWDG45ft3mfSQd6qrMD2p0v6RlGlXsoSqauvLBucXTbhCtFUfD7/fj9fsaMGQNANBo1SyDv2rWLqqrmJ/obampqqKmpkeCsEL1QwUTH/vSnP3XLce+++27S6TS33HJLo4HZbH6/n9/85jfMmTOHu+++myeeeKKLzrJzyA1Rro6+IRKdw7ixNG4ujf83ZvfuoQwbtrYD+852/gW4ngbrRzCguOGyAcVwzEnDefvlL8zntFSG/zz1Cf95qvlyysfMHs/0Ew/0LDb+DY2vNU0jlUqRSCRyJscYAVdDKpVC0zQymYwZpM1kMiQSCbO/RvbNuDGbujdQLAqlI91Ub4kSq245QOvpZ6dosBPFItkXQojOYbdXEQh8kPM5Z7cHCQQ+YO/e6aRSgW48O9HXOb5aTuDlH6BkOjj7Qs2vGoWCjq1mPf2eP5Oqkx4lMWhGx56H6BquFiaatLRcFKTse/WWSjZmLzcmhg8bNoyjjjqKFStWcO655/KnP/2JsrIyFi9ezLvvvouqqsydOxeADRs2sGjRIsrLy7nttts64dXkevDBB7nppps6/TiG7NLDqVTKnFjbHKPnq3HPZmSx5pMFawRibTab+ci+XxSi+w0CvgO8DeQX/Gq9T4ERQMMqZrAbaEcVsyboOmiaj5qaSXKN3xxFKdhJVm63m5EjR5pj8PF4nN27d5sB271793ZZspoQojAUzIj5+eef3y3HfeuttwA44ojmZ+QajKCisV1PJjdEotBlz/A1bjKbulBRVdUsk2TcbFqtZezdW0xx8SdYraEOmDDXuRfgulZE+oUg7Gl6nTMuPISq6hSfvf9V3vudcMQgzvxJ7oQIYxZ0Y+rf3MdiMTOQa9yAZ6+bTqdJJpPmz8gI2sbjcaAus9Zut+NwOLDZbD26Z61iUfANcBKrbr4hcGCkW0oZCyE6XVHRJ41OQFIUneLiT6isnNkNZyUEoOv4Vi7q+MAswMFz4f0b8l5dyaTwrbydxMBjpVxtF9AtDpKOio7Lno1Vgqei+eUdJOkcUJdlIzpdOHzgWtrpbH4Q3eVyNbrdAw88wIwZM3j//feZMGFCzjY33HCDmak0f/58EokEd955JyUldVWQdu3axaOPPsratWtxuVzMnDmTM888s+AzPDOZjDlR1rjvaioQawRfLRaLmfVqTKJt6XUalZHqlyA2Mmp78v2c6CsqgDOABNByNbV4JMnnHzQ9xmJ3xRl75GdZz2SAfwITgXHUtbgKUjdhfw31s3b37ZtGOu0mldR4++nP+XxlM4M++42fPoCj5oxCVev+XtNpJ7ouYwy9idPpZOjQoQwdOhSoS4YwgrW7du1iz5495licEKJ3KpjgbHcxApRNZd7VZ6y3b9++TjunriI3RKKQ6LpuBvmMErpNXYTU73tq3DQ2dpOo6+XU1p6A3Q5OZxqrtfH1GhcCXsn6vnUX4HAi4MvzWB6ojcCevzW7ltVm4ce3nMBf73uXt59tuUTgMbPHc+ZPpmO15d8X1vgbVFUVp9NpVhUwBgCM8tHJZNJc32az4fF4csplJZNJ8+t4PE48HkdRFDMbtzeXuLI6eufrEkIUDkVJYbOFmlxeNykpJYM4olsoyVrslas7Z+cTzmhVcBbAXvkRSrIW3VHUOeckDlAUwv1mULL9bx3Sd1bf+T7KqNnNLH+v3ccA0LEQLpUAfndo6d6sqeWHHHIIK1as4Prrr+f1118nkUgwfvx4fvrTn5qT/5ctW8a///1vZs2axXnnnQfAG2+8wezZs80qYgBLlizhgQce4IUXXsDny/f+rfOk02ni8XhOWeLm7o+NAKzVas37Pis7YGvcT2eXMhaid3DsfzRPzySIh6ubXB4Pe9CSY7DaN2Q9mwE+2f9oWio1Gl0fTDqdQrHoHHv64UyYHmblv77g07d2kIgcmGDh8FiZePQApp04nH4DffuzZVs8fdFL2Gw2Bg0axKBBg4C6z4LKyko2b97Mnj0tB/SFED1Pnw/OlpaWsmvXLl599dW8sndfeeUVc7veRG6IRH3p5maoU9fHq6V1mt1+f2ZmPB43Z/82lhVrzNA1si6NWbuNMW5Ejdm9xtdtFwDGA9lB0PwuwOu2G9rK4+XXH9dqU5n782P4+vcm8daza3nv5Q1EaxPmco/fwREnjeHY2eMpH9xxg5BGINyYrJHdf9Yoa5x9M+92u83yx0Zmbf0SyNk/K4fDIQMBQgiRJ1WNN7tcUerW0TQJzopepmhwd5+BaEHSM4yqwXPx7/4X1mQl7Qp3bl+OXj4FxT+swSI9uAW2t6+ilQ5o9jJq+59AyjWwXfsS+fN6vebXsVis2XWzl2dvB3DwwQfz9NNPN7pdTU0NP//5z7Hb7SxZsgSA6upqzjzzTGpra7n22mu58sor2bNnDz/4wQ946623uPrqq/nd737X1pcF1E1MP/PMM1u1zcaNG5kzZ07Oc6FQ4xOwsvvAthSINdY17qGNEsT5ZM8KIXKlEodjtceAba3YajA22wz69VPJZDLEYjGi0SilB3k56YJJnPCDg6mpDBMKRtEVDZffhsWigJIgFKpLlOmONlHpSPPjMu0dDxT5UVWViooKnE4no0eP7u7TEUJ0goINzn7yySe8+eabbNmyhVAohM/nY9iwYcycOZNJkyZ12HFmzZrF448/zq9+9StmzJjB8OHDm1x38+bNXHvttSiKwqxZszrsHLqL3BDlauyGqC/THUWkAuOxVTWenakFxrUq+6B+ZqyRUZlNURSzbK4RCGzuptG4GbVarZ0Y2DsKCNPaC/C67TpX+eAiTr/8SL576eEE90VJRFM43DaKSt1Y1M6/2c4eEPB4PDnZskZAFsDhcOBw1M1WNZ5PJBJm31sj2zYSiZizt3tDCWQhhBCir9LtfpJlh3RO9mzN1lZvkiybim73d/y5iCalXAPZN+yHKOk4qtZ8O4hsllSQwI6/H3hCT6N/dD/6wGNRBhxZ12M2VlmXMbv9LdBzMwmrDjqdjC3/e5S01Vuwvel6s379+plft5QNtHv3bvPr1kyS/9WvfsXu3bu5/vrrGTt2LFA3cXzv3r0cddRR3Hzzzea5PPbYY0ycOJFHHnmE2267zaz21Rbl5eWUlzfWBid/xn2Wkd2aXVK4qftjIwDrcDhwOp3m9kKIjqICJwCvA5vzWH88deNCdeNUFosFj8eDx+Mxxz+i0SiB/j4C/X3mRHYjgcGoPmaMjzidzi77m9aTFpL7bNhLG68y2drxQCGEEI0ruODs6tWrmT9/Pu+//36T6xx55JE8+OCDTJkypd3HW7BgAU899RS7d+9m6tSp/PznP+e0005j/PjxWCwWMpkMa9eu5e9//zv33HMPwWAQm83GggUL2n3s7iY3RKIlwWNupfT5Mxv0C9MtNmqOubXF7Y3yxNnlbbPVz5hsKrhqZM4aPWW7dqZv+y7Au4JFtVBS7m15xc4+D4sFp9OZUybdCMQmEgmSyaQZfDeCuel02vwdMcolG2W8FEUxBxYkUCuEEEL0IIpCaNoCAi//oMP7ziY+ewVXy6uZMoqN3Qf/glRUw+GWXoldTVedaK0Jfjr6ES06BHdwddZO0vDVG+hfvdHsptGiQ0h6R7bpPEXXOuigg/D7/dTW1rJp06Zm1928+cA92Pjx4/Pa/wcffMDvf/97Ro0axTXXXGM+/8477wBw8skn56w/fvx4hg8fzubNm/nwww/55je/me9L6RQlJSUUFTUe+MgO2BpBG4fDIe9tQnQJFTiUlseGTqS5Smo2m43i4mJ8Pp+ZTatpGi6XC5fLRTKZJB6Pk0gkzMnvkUjEXN4V42E17xRT9u1KlHpDW/mOBwohhGhZQQVnX3rpJU477TSSyaRZ3lRRFNxuN7FYzAzsvPvuuxx55JE888wznHjiie065qRJk/j973/PRRddRG1tLTfeeCM33ngjUNeHNR4/UDJO13UsFgu///3vOfjgg9t13EIgN0SiJcmKaVSd9Ci+lbdjr/yo7rmyqdRO+z9SFdMa3caY4WcE2rLVz4xtLOBWP3OyMIJyHXMB3hcZmbU+n88Muho3GdnltVwuV6MlkGOxGLFYzAzkG4/u/50QQgghRHMSg2aw9zt/pfjtX2GtWodCw/YV2TKKjR0DLm1xv5+nT6JsSA1Dtt2KRW868KujsCbxTZ7ZehY7/x0G/kX5UB+z5o5j1CEyibOQ1ZZ/HTUVxBH9Iu9t4vSntvzrnXhWoqN97Wtf4/XXX2fVqlUkEgmz0k59K1asAGDEiBF5TeBOp9P8+Mc/JpPJ8MADD+RMHN27dy+QO1HdUF5ezubNm6msrGzLy+lw2Zmyxv+NqlFyLyREocuvVZuqqni9XrxeL4lEgmg0SiwWM8c90um0mU2bTqeJRqNEo1Ezk7Yzx8uSux3sfaUfRYcFsZfXXW+1NB4ohBCidQomOLtnzx7OPvtsEokETqeTK6+8krlz5zJx4kQzg/Wzzz7j8ccfZ/HixcRiMc466yw+//xzysrK2nXsCy64gFGjRvGTn/yE1atXm8/XL/U7depU7rvvPo4++uh2Ha+QyA2RaEli0AwSA49FSdb1B9bt/rpGdvsZAbVEIoGmaTkBWWNWr9HbprELR5vNZmZHGlmxPZf0Sm6OqqpmGR/j98YodW1MhMkugWwEaROJBJlMxgzsGkF+h8PRbI8lIYQQQnSvVMU0Ks94DSURRI3sanQdNbSNkn9dxMaRvyVYdGxe+60sO5ukfSCjNl1OpuTHYG1Y2ee/W0t59F1nTtnbPV+G+MttK5kwfQAzvzeWwABP216Y6FyKSvXA0yja+QKu8LoWV4+8tpnaE05DqZ/eIwranDlzeP3114nH4zzzzDOcddZZDdbZvn07b7/9trl+Pu677z5Wr17N2WefzQknnJCzzOWqy7tvrHKYUS3MWKc7lZaW0r9//+4+DSFEFzLGQvx+v1nyGMDtduN2u0kkEkQiETNgm0gkUFXVrF7WGeMiie1O9mx3oNh1lD88DGMn54wHCiGEaJ+CCc7ee++9hEIhAoEA//nPf5g8eXLOcovFwsEHH8wtt9zC3LlzmTVrFtXV1SxevNgsjdsexxxzDKtWrWL16tW89dZbfPHFF2av2+HDh3PsscdyyCGHtPs4hUZuiEReFCWnn4QRNEulUmia1mB1I2jWWODMKH1rZMXa7fZOP31ReIx+SFB3swF1/Wjj8TixWAxN03L62WZn1BoB3WQyaZY+djqdWK0F85EmhBBCiP0ymk464wXXqMZXcI2icvIThKwTWrXfYNGxbB71B/oncwcJtbTOc++neH99uokt4bN3d/LZuzs59BtDOOGCiahWmehVcBSVSOlRLQZn993+NomPd6OcKD/Dnua8887j17/+NTU1Ndxwww2ccsop5n2BYcGCBaTTaaxWK/PmzWtxn9u3b+eGG26gqKiIe+65p8HyiRMn8txzz/Hcc89x/fXXm89/+umnfPHFF+Y63a1nT1gWouexOVseS8hnnY6gqip+vz8nm9ZIpnE4HGa1ukQiQTqdNgO5nVfyWEFPKmDzSda+EEJ0sIIZyX7ppZdQFIWFCxc2CMzWN2nSJBYuXMjll1/Oiy++2CHBWcMhhxzSK4OwTZEbIpEPo3eskSFrlB03ZJciNkouGYwyTMaFpARjRVOMgL3P50PTNKLRKPF4PCdQC5g9ao3SPkbpY7vdjsvl6vTfMdXW8s1OPusIIYQQvVkirFGzNYYWy7S8cr3ArGJRKB9WQtmQYpweO/FIksqtNezZUo2eOXAdWu0/jOqs7dLpDP95ei3bv4iTj1WvbaWmMsb3fnGYBGh7qPTeaHefgmijkpISfvOb33DZZZexYcMGjjvuOBYtWsSkSZPYsWMHt99+O8uWLQPgqquuYvTo0S3u8yc/+QnhcJjf/va3VFRUNFg+d+5cFi1axMqVK7nyyiu58sorqays5MILLwTgsMMOY8yYMR37QoXoKzx5VKPIZ51uYLWpuPwOYrWJRpe7/A6sNmPSRD6vof2v02KxmAHXVCpFKBQiHo9jtVrxer14PB5zcrtR8jgej+PxeKQPtRBC9BAFcwdqBOVOOeWUvNY31svuhSpaz7ghAswbotdff529e/fyv//9j3PPPbfNN0S/+c1vmrwhUhTFvCHasmULK1eu5JxzzgHkhqhQ6LpOPB4nGAxSXV1tXggagVmn04nP56O0tJRAIIDP5zMzZY2+Gf369aOiooJ+/fqZy4XIh9Vqxe/3U15eTllZGX6/3/z9sVqtuN1uAoEARUVF5vPJZJJgMEhVVVXO72pHs1gVrK6mPz6tLgsWq9wICSG6n6pK0EJ0j3htir0bIvkFZutRLArjjhrKkIn9cfkcKBYFl89BvyHFFA8qomZflOq9kUYfb72wge1fVLd8kCybP67k2d+upnJbqNFHPNJ0X1shRPvMnz+fX/7yl+b4wPHHH09ZWRlTpkwxxyHOO+88br311hb39eKLL/KPf/yDadOmcemljfevnjx5Mr/4xS8AWLx4McOHD+fwww/nk08+wev18rvf/a7jXpwQfYzicEAg0PQKgUDdOgVq6KSKRiv2KkrdsgMcQDOvk8D+dTqOzWYjEAhQUVGB3+83W4a5XC4CgQB+vx9VVclkMoRCIaqqqkgkGg80CyGEKBwFkzlrfGjUz9psirFeMpns0PMIhUJ8+OGHVFZWEo/H+cEPftCh+y9E8+fPZ9u2beYM0uOPP77BOp1xQ3T77bezePFiFi9ebC6TG6LupWkaiUTCLB2bHdyy2Wyoqtpo9qvRA9ToHds7g7BdMztSNGRk1Hq9XjKZDIlEglgsRjweN3/fjAxaI5s2FAoRiURwuVyd0n+leIiLvRsiUD/+q9QtE0KIzpXB693Q4lqlpSuJRIYSDE6kgOZkil5O13VqtycafkbmqXxYCd6SA5+lmz7ZxV/ufoftm6pavS+rzcLM0yZy1LfHUjaoiMqvgqx4YT1v/mMNWupA4HjteztZ+97OxneiQPlgH9+68GAGjW1uMFYI0Ra33norJ510Eg888AArVqygsrKSkpISDjvsMC6++GJmz57d4j5isRiXX345qqqydOnSZq/9Fy1axOjRo3nggQdYu3YtLpeLmTNncvPNN3PwwQd35EsTos9Rjz6G9AvPQ6be5CyLBfWYY7rnpPLkC7gZfcRgtq+rJFJTV4HDU+xk4LhyfIH6Y9XHAM8D9SehWfYv6xwWiwWv12uWPI5EIsTjcXOczqgqlslkqK2txWaz4Xa7e+kYnRBC9HwFE5zt378/27Zt43//+x+zZs1qcf2PP/4YgPLy8g45/oYNG/jlL3/Jc889RybrIiI7OLt+/XrOO+88HA4Hr732mtkvsTeQG6K+Sdd1s5dnIpHI+d0HzGCsUa64/jKjhGzfKJlizI5samCwA2ZH9uAyQF0lu7SPpmlmfxUjW9vtdhOPx80grbEc6rK9XS5Xh/RwcnitlI5yU7s9QSpa19PO5lbxD3Ti8BbMR6sQolfKEAisxOmszGttj+dLVDVKVdU0JEAruoKexvxsbIuyIcXm12tXfsWSBa+Q1lqfgWu1Wbjy/lMYPuHA/WLFsBJOu+xIph43nHt/8nxOgLZJOuzZGuKxhe9x1oJpjJhc1upzEUI0b+bMmcycObPN27tcrlZVVbvooou46KKL2nw8IUTjlIoKLCeeRObDlVC5/1q1rAzLtGko/RtW1is0RWVe/P085nWHarU0MdZVAZwErASMa/IyYNr+ZZ3PGKtLpVLU1taSSCRwu924XC5isRjRaJRUKkUwGMRqteJyufrI2J0QQvQcBTOCfPTRR/PEE09w4403MmPGjGYHz9PpNAsXLkRRFI4++uh2H/s///kP3/3udwmHwzmZgvU/sMaOHUsikeC///0vzz33HGeccUa7j11I5Iao70ilUsTjcVKpFOn0gcEzRVHMTEQjU7axZS6Xq0Gwtm/o3NmRZhmgqiYCwAVeBqirWa1WioqK8Pl8xGIxwuEwgHlDYmTYapoGYM4idTgceDyedgdpnX4bDp8Vff+fkKI2/NwQQoi2UJQUqtp4z0yvd0PegVmD01lJcfFHhMMN20ak00503dbktgFHv+bPFaXFdYRoDaenLrtD13Wee+jDNgVmAWaeNjEnMJtt+MT+zPjuRP7z1Cd57y+T1nnzLxsYPqmffN4LIYQQTbAMGoQycCAYlQ7t9h71uakoSlZ/2eYMAgYCRkVHO9D1r9Nms1FaWko8HiccDpNMJnG73TidTiKRCIlEAk3TCIVCRKNRsyetEEKI7lcw0+d//OMfA/D222/zrW99i40bNza63saNG/n2t7/N8uXLAZg3b167jrtnzx5OP/10QqEQo0aN4pFHHuGDDz5ocv0zzzwTXdd55ZVX2nVcIbqa0UO2pqaGmpoaM7PQYrHgcDgoKiqitLQUv9+P0+k0A1d2u52ioiL69+9PaWkpPp+vjwZm4cDsyOyMibL9z3XM7Ej16GOgsazzHlAGqLtYLBY8Hg/l5eUEAgHs+2/+nE4nJSUllJSU4PP5zN/pRCJBVVWV+XfQnt60iqJgsdY9etINZ7crbyHrSFFaXkcUnDfffJOzzjqLwYMH43A4GDBgAN/5znf45z//2ex269at4/TTTycQCOB2uznssMN4/PHHWzzeqlWrsFqtDB06lEgk0lEvo1vZ7VWUlb3JgAGvUF7+ZqMPt7t+6VULMBk4E7ho//8nU/8y3+3e2ej+KipeoazsTWy2xicGeW1ehnmHN3nOQ73D8Nq8bX/RotdR1LpqEm0Vj9QNcsbCSb5c17qJCNmO+vbYZpcf/Z3mlzdmx6YaElGtrackhBBC9AmKoqA4HHWPXn2frFBXQc1BdwRmszmdTvr160dJSQmqqmKxWPD5fAQCATweDxaLhXQ6TW1tLdXV1R3eJlAIIUTrFUyEZcaMGVx88cU89NBD/Pvf/2bs2LFMmTKFgw8+GJ/PRygUYs2aNXz88cfmQPoll1zCscce267j3nPPPQSDQcaNG8d7772H3+9vdoDvmP3Bkf/+97/tOq4QXcHoz6lpGslkMqdsscPhwOl0YrPZci6WVVXF6XTicDgaZM8K6OzZkT29DFB3MgKyTqeTZDJJOBwmHo9jtVqxWq04nU5SqRSRSIRUKmU+IpGI2aOl/t+D6ByKz4c+ehR83vhELEaNRPH5uvakRLtcc8013HbbbTmTHXbt2sULL7zACy+8wHnnnccjjzzSoOXBmjVrOProowkGg+Zz//3vf/n+97/Ptm3bWLBgQaPHy2QyzJs3j3Q6zf3334+nF5R8dzgqCQQ+QFFaM2HEApwKZGcHlgBHAsOB52hY7SGXooDNFqJfv3epqjqcRKLhxIh546/gug//D03PDUpZFSuXjr+iFecr+gJFUfAPdLBvY7RNfWcrt9YwZGL/dp9H2aCidi0X3S9tbX7ih57RSVc3XmVACCGE6ItcLpeZNWuMbxuZtPF4nGg0iqZpBINB7HZ7XVUxmTwthBDdomCCswBLlizB6/Vy7733ous6q1evNnvLAuaAn6IoXHXVVSxatKjdx3zxxRdRFIWFCxfi9/tbXH/UqFEAbNmypd3HFqKzJJNJs79ENqNfp8PhyAm6GoErl8uFzdZ0aUNhMGZHdo6eXgaoENjtdgKBAOl02uxBm0gksNlsFBcXk06nicViZq9lo+SxxWLB6XSagVrReZQF/4c+bz5o9TKQrFaUJgJyojA9+OCD3HrrrQAcdthh3HbbbUyePJnt27dzxx138Pjjj/PYY48xYMCABtdu8+fPJxgMMmnSJB566CHKy8u55557uP/++7nuuus444wzGDlyZINjLlmyhJUrVzJ79mxOPfXULnmdnUvH51vXysAswMHkBmaz9QcmAvmVbVUUHZ9vPYlEP+pPOppQPJHrpy5k2cY/s6F2PQBj/GM5d9QFjC+e2MpzFn2B02+j3xgPNVtjaLHWlSXes6WawEF+PMVOho4ra3P2bOVXQSqGlTR9nK+CTS5rykEji3G4C+oWulfTVScpexm2ZOO/A9q2IHo01egyIYQQoq9SFAWv14vH4zHLHadSKTNIG41GicViJJNJkskkLpcL16hRKE1UsZTJ00II0TkK6s7SYrFw1113cdFFF/H73/+e5cuX88UXXxAKhfD5fAwfPpwZM2ZwySWXMH78+A455hdffAEcyIhtiRHANXobClEIdF0nmUySSqVIJpM5fWRtNht2ux1VVc1yr1D392ZcmNnt9u46ddEERVFA+oC0m6qqeDwePB4PmqYRDoeJxWKoqmrerCSTSRKJBKlUikwmQzQaJRqNYrVacbvdOX83ouMoU6bAvXejL/kdrFlT9+TEiSiXzkOZMrl7T07krbq6mmuvvRaA0aNH88Ybb5hZrGVlZSxbtgxd13niiSe4++67ufjii82Jbl9++aXZpuLJJ59kwoQJANx333288847rFq1imXLlnHDDTfkHHPXrl1ce+21eDwe7r///q56qZ1KUTTs9tYHiqClsqzjyDc4C2C316AoWqM9aKeWfo1DAocS0epm4HusHnlvFEDddaiu6zmZ8ZlMhoyawjkwQ0bTSacyZDIZGuskoGuQ3nvgd07P6Kxb8SXlw0o48dwp/OHG/7Sp7+yKF9Zz2mVHNr38+fWt2p9FVTju7LHye9/Favt/k8C2J1DqpWHrWoaaP33UTWclhBBCFD5FUcxM2ng8Tm1tLQBerxeXy2X2qI3FYmjzfozvl79CkcnTQgjRZQoqOGsYP34899xzT5ccS9v/oZNvM/RQKATQK8rniZ7PCColEomcUpLZF2D1yxLb7XYzKFu/vKQQvZnVaqW4uBi/32/OFE2lUjgcDhwOhznJIR6Pk0ql0DSN2tpas9S3/M10POWII+Dww8GY8OT1yqB3D/PYY49RU1MDwMKFCxu9Prr99tt56qmn0DSNJUuWcNdddwGY1VFGjBhhBmYNs2fPZtWqVTkVVAw/+9nPCAaD3HHHHQwePLiDX1FP01JZ1o4t26ooivSX7QN0XSeTyZBOp+uCrBkjsKqb/zc+D5PJZINrUGMfOdS6XrTK/nUsFgsWi8XcH4kM6dCBz1g9o7N7c10f5BO/dzDvvrqR6spoq17Hm/9Yw9RZIxg+oWF2+RdrdrP86TX57UiB8sE+vnXhwQwaG2jVOYj2S7kGUWU5Bt+GZ7GPqvv3T26sovapNaQ+b7xXthBCCCEOyB4jjEaj5th2UVHRgcp7E8YTuvHXuB59DNuGDXUbyuRpIYToVAUZnO1K/fv3Z+vWrWzZsoWSkqbLXhlWr14NwKBBgzr5zIRonNFHNhaL5WTIGpmxNpsNm81mDpoZfTiNDFrJkhV9ncViwev14vV6SaVSZnnj7ECtUeo4Ho+TTqfNfi3G5AYpedxxFEUBKZHUYz377LNA3SS37373u42uM2jQII4++miWL1/OM888YwZnjZnb5eUNAyf9+/fPWcfw6quv8uSTTzJ58mSuvPLKjnoZ3U7XrSSTRW3Ing1S12O2ueX5SyaL0fU+f3vQp6TTaTRNQ9M082szYNoG2dtZrVbsdjtWqxVFUVAUBVVVG53opJfo7NsYIRFKN1hWPtDP7AsOJRHXiIYT5vM2h86I7aux7M+orArD718/MMFHS2W494rnmPHdiRz9nbGUDSpiz1dBVjy/nuVPr0FL5WbjnvazKQQG+LAouefnCzhxeuRzvzsllf7s/fXrKO66n4OUMhZCCCFaT1EUPB6PmTVrjHHY7fa6sZHpR1I79RCUSARFUXCUluL2eJDp00II0Tn6/OjLUUcdxdatW/nrX//K1KlTW1z/4YcfRlEUjj322C44OyHqGINmqVQqJ0s2O/BaP/vbKNvqcrkk20+IJhiTGQCznE80GsVisZg3LdnZtEZPFlVVzUCu1drnP0pFH/bhhx8CcOihhzZbheSoo45i+fLlbN68mZqaGjOLHWDv3r0N1q+srOsvaKwDkEgkmD9/PoqisHTp0l72t6cQCo0jEPiglX1n1wNNl22FdXnvSdcVamvHUr/frOhZ0um0WWYYcjNZjUxYIwBrZMc2xshuzQ6oGg+omywImMtUVc05rqqqLVZCUBTlwHlaFEpHeajZsJtoxNXo+g6nFYez7u/e089OoCRFv8iBv5cBxXD0GJ13NuQGaP/z1Cf856nmy3uPP6acfiMcQBKLxYLNZsNqtZr/F4VBgrJCCCFE+1ksFvx+P263m3A4TDQaNcdGkk4nUSNYG48TTyTqetLK2KIQQnS4Pn+n+cMf/pAnnniCe++9l1NPPZUjj2x6gOuBBx7g2WefRVEULrzwwi48S9HXZDIZMwhkZDJkU1UVl8uFw+HIuTiy2+1mwMhms0l5UCFawZgx6vf7icViRCIRUqmUWdJY0zSi0ajZ19noTWu3281JEnKzIvqSnTt3mpmtI0eObHbdESNGmF+vXbuW6dOnM3lyXXmsTZs2sXHjRrMXLcCLL74IYK4DcMstt7Bx40YuueQSpk+f3mGvozF79uwxA8T52rhxY7uOmUiUsXfvdIqLP8FqDZHfR/inwAigYfYx7AZaLtuq66BpPmpqJpFKScnWnsIIshpBV6McvxE0bQ2r1YrVakVVVfP/9dtitIWiKOYkJmOfFosFq9Xa6OdlKpXCHd3FxhZawQ4cHMYzfAxKsGFm+GmHQVVYZ+2O/K+Bhx0c4OvnjiWd0cwAttE2xHgdRrDaGLg0XpMQQgghRE9ltH7y+Xw51cLsdjvJZJJIJGKOg8TjcbNFmow1CiFEx+iW4KxxI6soitnzta03t9n7aItvfOMbzJkzh2eeeYZZs2bx4x//mFmzZpnLV6xYweeff84TTzzBq6++iqIonHvuuXzta19r8zGFaIoR8InH4znPK4piDgI5HI6c0sRWq9UM1ErJYiHaT1EU3G43brfbvCGJx+NYrVb8fr85eSKRSJiTKJLJJFCXiet0OnE4HHLDInq97OClUYa4KdnLjUzZYcOGcdRRR7FixQrOPfdc/vSnP1FWVsbixYt59913UVWVuXPnArBhwwYWLVpEeXk5t912Wye8mlwPPvggN910U6cfp75UKkBl5UwUJYWqxhssV9UopaUrs57JAP8EJgLjqOsxG6QuY3bN/uUH7Ns3jXTanfNcOu1E16Vka6HL/uxpKQhrBBIBM5vVyIA1Hsb3TQVKDUYw1bgWtVgsZkDY2M5ms5n3ckZf2uzKFPmy2Ww47c4W1yspduMqKkJPp6mf92tV4aLj4B8f5mbQNuXQbwzhhAsmolrrXks6nc4p9ZxKpXL67WqaRiwWAzAzho3yzR0V1BZCCCGE6EqqqjbIpDWCtIlEgkgkQjqdJhwOE4vFzCCtEEKI9umW4GxjPYza2teoIzz22GPMmTOHf//739x///3cf//95qB6dvliXdc54YQT+N3vftddpyp6qWQySTQaJZU6UKrLCMQas/PrD5w5nU48Hk+zZSSFEO1j3JBkMhkikQjRaBTAzKY1JlSkUikzcymVShGNRuXvU/R64XDY/Lqlm3OX60CZ0uztHnjgAWbMmMH777/PhAkTcra54YYbGDNmDADz588nkUhw5513UlJS12N1165dPProo6xduxaXy8XMmTM588wze0UGu67b0LSGgS1N8xGJDMXj+TLr2Qzwyf5H0yKRoSQSzQfRRWHI7gGb/ah/v1Q/yGpcM7Z2cpCiKOa22fvpqYFGqwrfOwKOG6/zrj6G997YSrT2QK9aj9/B4SeO4siTR1Pc32UGYxOJhBlgzZ7wWP/nkEwmzbLQmUzG7F8PB4LZRlUNmaglhBBCiJ7CyKT1er2EQiFisZiZCBKPx4lGo6TTaUKhEPF4HK/XK+0fhBCiHbrlHfTXv/51Xs91FY/Hw7/+9S+WLFnCPffcw6ZNmxqsM2jQIK6++mouu+yyHjtQIQqLpmlmxl12UNZms+HxeBpkG6iqag6Wud1uuQASogtZLBZ8Ph8+ny+nN62qqvh8PqAuqyn7hqW2ttb8e7Xb7TJAK3q1fHpLNuaQQw5hxYoVXH/99bz++uskEgnGjx/PT3/6U84//3wAli1bxr///W9mzZrFeeedB8Abb7zB7NmzzbLKAEuWLOGBBx7ghRdeMP8ue6NgcCKqGsXpzL/scjxeRjA4sRPPSrSHkRVr9DZvKiu2pYl79WX3dDW2b6zEcEF9RnnKgYZ9qBuu07JyP5x2+mS++7MZBPdFSURTONw2ikrdWNSG/3ZGoNXImE0kEqTT6UYzYnVdN5cbwV2jJLJxfR+JRMzrdaPSjdxHCiGEEKLQWa1WSkpK8Hg8hMNh4vG4WbHPGPNIpVLU1NTgdDpxu929YoKsEEJ0NQnO7qcoCvPnz2f+/Pls3ryZdevWUVNTg8/nY+TIkQ2yOYRoC13Xzay67IAsYF7QZA/a2O12XC4XNptNShYLUSCMbFqfz2eWIU8mk1gsFrO8TywWIxaLoWkatbW1WCwWHA6H3LSIXsXr9ZpfG1ljTclenr0dwMEHH8zTTz/d6HY1NTX8/Oc/x263s2TJEgCqq6s588wzqa2t5dprr+XKK69kz549/OAHP+Ctt97i6quvbneVk/nz53PmmWe2apuNGzcyZ86cdh03PxaqqqZRXPwRbvfOFteORIbuD8zKe093M8riNhbQq69+H1gju7U+I8hqt9vN60WLxZLzWZPJZHrOZ4/TT4vBWae/Vbu0qBZKyr0tr7f/szq76oURsM2ujpFMJlEUpUHFAOM6X9M04vG4uQ1gZtdmB8iNLOUe87MRQgghRJ9it9sJBAIkEgmCwSCappljHuFwmEQiQSwWIx6P43Q6ZSKaEEK0kqTeNWLEiBGMGDGiu09D9CKZTMYM1mRnMBiDaA6HI6cXs9vtxuv1ykWNEAXMYrHg9Xrxer1kMhkSiYSZxefxeHC5XMTjcWKxmPkeYNy0OJ1OyX4XPV6/fv3Mr/fs2dPsurt37za/Li0tzfsYv/rVr9i9ezfXX389Y8eOBeoyaffu3ctRRx3FzTffbJ7LY489xsSJE3nkkUe47bbbzPLHbVFeXk55eX7Zed3DQjg8psXg7L5906SUcTczMizj8XiDiXnZjL6txgSgpjJZjdJyqqridDrzCuxJ8K/tjIBtfYlEwsycNQKyiqKYPz+3221m4CqKYvapNwLz2YxArXFdYGTqynWCEEIIIQqBw+GgvLycWCxmjnn4/f6cFm3Z4x0yKV0IIfJTMHd8jz76KADnnntu3m/gxjY/+MEP2nzchQsXAnDNNdfkdQOs6zr/7//9PxRF4frrr2/zcUXvp+u62Y8ymUyaQVlj4Mbj8eQEX42yqS6XSy5ihOhhLBYLLpcLp9NJNBo1e2q63W5cLpdZCtm4aYnFYthsNrPksRA90UEHHYTf76e2trbRlhDZNm/ebH49fvz4vPb/wQcf8Pvf/55Ro0ZxzTXXmM+/8847AJx88sk5648fP57hw4ezefNmPvzwQ775zW/m+1J6rXTa3d2n0Gclk0kzIJedGWsE3YySwtklhrNZLJacPrDZ34vuVz/DFjBLIRsVNbIDrk6n08yczn5k97JNJBI5+7NareZxZMKmEEIIIbqbUdo4HA4TDofNSWmNBWmNsZCCaZ0hhBAFqGDu7i+44AIsFgtnnHEGbnfLA0npdNrcpj3B2RtvvBFFUbj66qvzGuzIZDLmNhKcFY1JJpPmoEz9Pl8ejydnIMcoQ2dc4EhQVoieTVEUPB4PbrebeDxOOBwmlUqZg6vG+0MikSCVShEMBrHb7TidzsLq+SdEnr72ta/x+uuvs2rVKhKJRKMZZgArVqwA6qqT5JPRmk6n+fGPf0wmk+GBBx7IKR+6d29dydPszF1DeXk5mzdvprIy/36sQnQEXdfRNM18n88OyBoTeGw2W6OliaHu88Po/+pyuWTiTg9k/Hy9Xi/pdNrsI2yUQjau+7N/tvUDtplMxvxdMh5G71qjDLJRuloIIYQQoqtZLBb8fj8ej4dQKEQ0Gs0J0obDYdLpNJFIhEQigcfjketaIYRoQsEEZ4GcQFZnbiNERzNKmhoBF4ORJet2u3OC/0ZvSq/XK4MrQvRCiqLgcrlwuVykUikikUjOTYuRVW9M5DAGbY3sW3lfED3FnDlzeP3114nH4zzzzDOcddZZDdbZvn07b7/9trl+Pu677z5Wr17N2WefzQknnJCzzOVyAY2XUjbKJxvrCNGZjOCZ8T6efV+iKIo5Mcdms+VMvjECbUawzfhaJuj0HqqqmtcBcKAfrfGIRqMAjQZsoeG9hfG7Fo/HzesFyUYRQgghRHdRVZXi4mK8Xi/hcNgc7wgEAuZEdU3TCAaDOByOBtUDhRBCFFhwtjU0TQPo8tJeRrmppma9i77BGGAxZsSn0+mcATkjwFL/99PpdOL1emXWmBB9iM1mM29aotGoOSBrlDGPx+NmllV2ENfIshKikJ133nn8+te/pqamhhtuuIFTTjmlQQWUBQsWkE6nsVqtzJs3r8V9bt++nRtuuIGioiLuueeeBssnTpzIc889x3PPPZdTxeTTTz/liy++MNcRoqMZ/UUbC8bCgVLEdrsdh8OREzgz3tedTqcMTPVB2f1oAYqLi3PuJ4yexBaLxfy9MgKw6XTaDM4afW6N64XsbFoJ8AshhBCiq1mtVnO8o7a21uw7a7fbiUajxGIxs9WHcW0jk9GFEKJOjw3OfvrppwB5lcbrSCtXrgQaL6UnejdjAMWYxV5/QM7oC1U/602yZIUQUPce4ff7zSBtKBTCarXi9XrxeDxmn7rs9xmr1WqWPZcBV1GISkpK+M1vfsNll13Ghg0bOO6441i0aBGTJk1ix44d3H777SxbtgyAq666itGjR7e4z5/85CeEw2F++9vfUlFR0WD53LlzWbRoEStXruTKK6/kyiuvpLKykgsvvBCAww47jDFjxnTsCxV9lnH9Z5Skz2aUIjaCY/Un1Kiqavbbkl6x+bE5W/53ymedniA7YOv1enOWJRIJs0e90ZfY4XDgdrtJJBJEo1FzsoCRiasoilla2W63o6qqXDsIIYQQoktYrVYCgQDJZJKamho0TcPr9eJwOIhEIub1SjweN58XQoi+rtvubB999NFGn1+2bFmzb9DpdJodO3bw5z//GUVRmDp1aquOu3Dhwkafv+WWW5rNZjSO+8wzz6AoCocffnirjit6Ll3XSSaTRCIR0um0+bwxoGJkQGRnQaiqitfrlewIIUQDFosFr9eL2+0mFosRiUTQNA2n04nT6SSVShGLxUgmk2iaZvZxcbvdOX03hSgU8+fPZ9u2bWbA9Pjjj2+wznnnncett97a4r5efPFF/vGPfzBt2jQuvfTSRteZPHkyv/jFL7j99ttZvHgxixcvNpd5vV5+97vftf3FCLGfpmlEo9EGGbJG8Mt41A9+GcFa6a/VNlabisvvIFabaHS5y+/Aauv919ZGSWy/329eDxj3Isb1gqZpOaWSM5mMmdUdiUTMyQPG5FEJ1AohhBCis9ntdsrKyohGo9TW1pqVxLL70dbW1mK32/F4PDKBUQjRp3XbO+AFF1zQ4AZR1/W8yt0Z6yqKkvf6hhtvvLHR4+YzYGisq6oqP/vZz1p1XNEzhUIhc7ADDvSFcjgcDQbcjN5iRsk6GQARQjTHYrHg8XjweDwkk0mz5I8x4J/JZIjH48RiMdLptBmkNQZlJRNfFJJbb72Vk046iQceeIAVK1ZQWVlJSUkJhx12GBdffDGzZ89ucR+xWIzLL78cVVVZunRps7/jixYtYvTo0TzwwAOsXbsWl8vFzJkzufnmmzn44IM78qUVrHS6+ckaut7yOiKXUbnA6PFpMK7/GsuAze4Z6nK5ZFJeBxg6qYL1K76kXpEaFKVuWV9isVjMiVler5dkMkkoFDKraxgVNoCcQG0qlcrpcxuNRqVPrRBCCCG6hKIoeDwenE6nOY5ht9spKSkxWz0ZE8pcLhcej0euT4QQfVK3Tk/JnoVuvAnXLxXbGIvFwqRJk7j66qvzGuzriONarVb69evH4Ycfzs9+9jOOPfbYVh9X9DxG+TpjYMTtdudcMBgDIkYpOwmWCCHawhjY9/l8OX1pjXKYsVjMLGFo9JkzgrQy01QUipkzZzJz5sw2b+9yudi8eXPe61900UVcdNFFbT5eT6frNlIpHzZbqNHlmuZD16VvdXN0Xc/JPkwmkznLjUl32eWKjcl4xmQ96Q3e8XwBN6OPGMz2dZVEauIAeIqdDBxXji+Q1dPa42l5Z/ms04PY7XZKS0tJp9PmoGYikUDTNHNyl0HTNLOfrXH9EIvFcDgcZn9k+f0VQgghRGdRVZXi4mI8Hg+hUIh4PG4GbcPhMMlk0uxJ6/F4pJ2TEKLP6bYR3S+++ML8Wtd1RowYgaIorFmzBrfb3eR2NpuNQCDQ5tKORgakwWKxoCgK4XC42eOKvkdVVZxOpznwZlwg2Gw2nE6n9A8TQnQ4VVXx+Xx4vV7i8TiRSIRkMmkGabP7zBm96Iz3JLmREaLvCQYnUVr6LoqSO8lQ1xVqaiZ101kVvkwmY76H1p+gaZSTrT/pznivdbvdkh3bBYrKvPj7eUhrdfduqtXS4DNOcTggEICqqsZ3EgjUrdMLqapqZsJCXQseo199MpkknU7nZNbWv34wGKWPnU4ndrtdJpoKIYQQosMZY/mRSIRQqG5iaVFRUU6pYyPD1uv1SmsQUfB0XSeTyeSVZCgKk6IoZlywO3VbZGno0KE53w8ZMgSLxcLw4cO7tKfejBkzUBRFBllEA0VFRfh8PvN7m82G1+s1B0GEEKKzKIpiDrrGYjFCoVBOX1ojE8Yov2mULJQbGSH6lmQyQFXV4fh867Hba/Y/V0xt7VhSqUD3nlwB0jTNDGCl02mg7v3WbrebvTmz7wkURTGv/WRCXtdTFKXF/rLq0ceQfuF5qDcBF4sF9ZhjOvHsCouqqrjdbnOysZFZG41GSSQS5iQuo3+tkTGeXfoY6jJz3W534WXUlpc1v1xRWl5HCCGEEN3K4/HgcrkIhUJEIhGz1LExaTKdThMMBnE4HHi9Xpk0JgpKOp2murrarEYjgdmeT1VVvF4vxcXF3Za0WTCjDFu2bOmW477xxhvdclzRM0iWrBCiuxlBWmNWaTweN8sgG31pjWyYYDBo9j2UIK0QfUMiUUYi0Q9FqeuRqutWQLLoDel0mng8bgalDBaLBZ/P1+C90uiR1Vj2rCg8SkUFlhNPIvPhSqisrHuyrAzLtGko/ftWf9ps2Zm1iUSCcDhMIpEwM8PhwIz/RCJhlj42SiWrqlpQfZQVnw999Cj4fGPjK4waiZI1qVYIIYQQhclisVBUVITb7aa2tpZEIoHb7cbpdBKNRs0yx6lUyryW6e7MNiHi8ThfffWVOaFR9A7GOGowGGTgwIH4/f4uPweJNgnRhEAgQFmZzMAWQhQGu91OIBBA07QGfWmzb2SMgVWZbSpEX6JIf9ksRonXZDLZ4AbabrfjdDpzAq9GIMrhcOB0OuV9s4exDBqEMnAgGD2D7XYZxMtiBGRTqRTxeNzsr5zJZHIybjVNMwdE67dPMLJpu/PfVVnwf+jz5kPWJAsArFaUBQu656SEEEII0SY2m43S0lLi8TihUIhUKoXX68XhcBAKhUin00QiEeLxOD6fr/Cqeog+I5lMsmXLFsmU7eW2b9+O1Wrt8gzaggnOfv755/z4xz/G5/Px9NNPNzsokk6nOe200wiHwzz00EOMGDGiC89U9BWSKSuEKERWqxW/34/P5zNvZDRNM0tvRqNRs+RxMpk0eyRKsEEI0Vtpmoau62bZ4sYCsg6Ho0FPTavVSlFRkZlJKHouRVFAfo7NstlsOQOb2WW+4/E4VqsVn8+Hx+Mx2ycYJY+DwaCZjWtMbOjq6wplyhS49270Jb+DNWvqnpw4EeXSeShTJnfpuQghhBCiYxitm6LRKLW1tdhsNkpKShpUCHO5XLjdbpmAJ7pcTU2NBGb7iJqamr4bnP3LX/7CG2+8wbx581q80VNVlUGDBrF06VKeeuopfvnLX7b7+JWVlSxdupR//etfrF+/npqaGrMXVWMURckpjSaEEEJ0pey+tOFwmFAohKqq+Hw+nE4n4XDYzIKJx+PmuhKkFUL0BkavzEgk0ug1uVH+3eFw5LzvWSwWXC6X2YNTiL7KarVitVrxeDxomkZtbS3J/dnHxkBpOp02+9am02nC4TCwvx+w1Wr+jXVV6WPliCPg8MNh/3ng9cogrRBCCNELuN1uHA4HwWDQHL9wOBxmawbjesRoPyJEV9B1nZqampznbDYb/fv3x+l0ynVoD5ZOp9m1a5dZlRAgHA6j63qX/lwLJjj78ssvoygK3/72t/Na/5RTTmHJkiW8+OKL7Q7Ovv7663zve9+jqqpKZkIIIYTocbxeL263m1gsRigUwmazUVxcnBO4MMoeOxwO3G53QfSQE0KI1shkMmiahqZpZo9MqAsUKYqCxWIxS7hmv8dJQFaI5lmtVgKBALqum5m0sVjMnPTl8XjMqhyZTIZMJmNm1UYiERwOBx6Pp0uuLRRFAekvK4QQQvQ6qqoSCARIJpMEg0FSqRR+v59EIkE4HCadTpvZtV6vVyoeik6n63qD5L2BAwficrm66YxER7FarVRUVLB582bzuXQ6bbZ+6bLz6LIjtWDr1q0ATJkyJa/1J02alLNdW+3cuZPTTjuNYDDIyJEjOe2007jjjjtQFIUFCxYQjUb55JNPWL58OZlMhokTJ3L66ae365hCCCFER7NYLHg8HpxOJ7W1tcRiMTNzLJFIEIlESKfTxONx4vE4brdbMmmFEAUvnU6bJVbrZ8gqimIGheq/lymKgtPpNGfdy6xmIVpm/N04nU78fj/RaJRIJAJg9qaFA32djf61RisFu91ulk+WAVMhhBBCtIXdbqdfv36EQiHC4bDZnsSYcJ5Kpaiuru7SyWGib8pkMg2ek/7HvUdj7x1dnbhZMHdMe/bsAcCX5yxYr9cLwO7du9t13Pvuu49gMMjYsWP573//i9vt5o477gDguuuuM29At27dykUXXcS///1vTj31VG6++eZ2HVcIIYToDKqqUlJSgs/nIxQKmdmyDoeDZDJJNBollUqZNzZutxun0ylBWiFEwcjuhVl/prKqqmY51vrvXUaw1gjIyvuaEG1nsVjwer14vV6z71sikUDXdVRVNe+TU6mU2UrB+LuFuoErI1tdJkcIIYQQojUURcHv9+NyuQgGgySTSXMyeiQSMa85ksmkOfFcrjeEED1NwQRnfT4fVVVV7Nmzh6KiohbXN4K57U0j/9e//oWiKFx11VXNNvwdMmQIL774IjNmzODWW2/luOOO4xvf+Ea7ji2EEEJ0FqvVSklJCV6vl1AoRDwez8mkjUajaJpGJBIhGo2afePsdrvc1AghulwmkyGRSBCLxRoNyBrZfPUDrkYAye12SzBWiE5i/P1B3d9qPB4nmUwSi8Ww2WyUlJSQTCZJpVJommZ+bZQ9zr7GEEIIIYTIl81mo1+/fkSjUUKhEAB+v9+8xjD+n0gk8Pl8UrlDCNGjFMwIxqhRowB49dVX81rfWG/48OHtOq5RV/qYY45psCyZTOZ8b7VaueGGG9B1nSVLlrTruEIIIURXsNlsBAIB+vfvb05CcjgcZnat1Wo1e8zV1tZSVVVl9nMRQojO1NR7j6Io2O12fD4f/fr1IxAImMFXRVGw2Wy43W5KSkqoqKjA6/VKYFaILmKxWHC73RQXF1NeXm5eW9jtdjweD0VFRQQCATNj1gjmBoNBqquricfjXV4uTAghhBA9m9vtpqysDK/Xa94PFBcX4/P5sFgsaJpGTU0N4XC40VK0QghRiApmOsk3vvEN3n//fW677TbOOussSktLm1x33759LFq0CEVROOGEE9p1XKOHTkVFhfmc0+k0B4qKi4tz1j/ssMMA+OCDD9p1XCGEEKIrqapKcXExHo+HcDhMLBYzM2GSyaTZMy6TyRCLxXIybe12uwQ+hBAdJp1Om+8z2UEaq9WKw+FoNEPW6CklJVKFKBzZ1xZGD1qjrLHf70fXdVKplJlpq2kaoVCISCRitlyQvl1CCCGEyIfFYsHv9+PxeAiFQkSjUZxOJ3a7nXA4bFbhSSQSeL1eHA5Hd5+yEEI0q2CCs5dddhl33XUX27dvZ+bMmfzxj3/k8MMPb7DeBx98wIUXXsi2bdtwOBxcfvnl7TpuUVERVVVV1NbWUlJSAkBpaSk7duxg48aNDBkyJGf92tpaACorK9t1XCGEEKI7GOUHPR4PkUiEWCxmBmA9Hg/JZNIcRDX6uBh9HD0ejwRphRBtYmTJxuNxUqmU+byqqmZvyuwgjaqqOBwO3G63lEIVosDZbDbz7zeTyRCJRAiHwwDmNYaRQRuLxcyJYEZZ5OyyyUIIIYQQzTEmh7ndbmpqatA0Db/fTzKZNCvx1NbW4nA4pMKO6FJPfPRVd59Ci+ZOHdRh+8pn0vT555/PI488Yn4/bNgwvvzyS1RVZd26dWY13WxPPvkkc+fObbBttvXr17N06VL+85//sHXrVsLhMEVFRYwbN47jjjuOc845hwkTJrT1pXWZggnOVlRUcP/993PxxRezdu1apk+fzrhx45g6dSp+v5/a2lpWr17N2rVrzRn29957LwMHDmzXcUePHs3777/Pzp07GTp0KACTJk1ix44dPP/88xx//PE567/wwgtA3UxgIYQQoqcyBkt9Pp85WJpKpcxMFqNfXCKRIJ1OE4/HSSQS5nIJlggh8mEEZOLxeE65dKM0cf33EqfTicvlwuVydfWpCiE6gMViwefz4fP5zAlfsVgMqCtJ6HK5zGxaI9vW6BdnXF9YrVYZSBVCCCFEs+x2O2VlZYRCIcLhMHa7nZKSEqLRKNFolEQiQTKZxOv1yiQwITrR+eef3+SyxlqJQl01rYULF/Loo4+26li6rnPDDTdw6623kk6nGTBgAEcffbSZgPnf//6Xd955h1tuuYVbb72VBQsWtGr/Xa1ggrMAF154IQBXXHEF8XictWvXsm7dOnO5EZR1Op0sXryYiy++uN3HPO6443j//fdZt24dRx55JACnnnoqL7/8Mg888ADjx4/n7LPPJp1O8+yzz3LdddehKArHHntsu48thBBCdDer1YrX68Xr9ZJKpYhGo0QikQbZtMYMVCPIYgRWbDablBgVQjSgaZoZfDH6PlksFjNDTlVVc12bzWYGZLOfF0L0bPUngoXDYVKplPm8cV1RP5sW6q5PjPcGeV8QQgghRGMURcHv9+N2uwkGgyQSCTwej1nq2GipEI/H8Xq9WK0FFQoRoldoKru1OS6Xi8cff5zrrruOMWPG5L3dggULuOOOO+jfvz+///3vOfXUU3OW67rOf/7zH2688UY+//zzVp9XVyu46agXXnghmzdv5rrrruOII46gpKQEVVUpKSnhiCOO4LrrrmPz5s0dEpgF+M53voOu67z00kvmcz/84Q8ZMWIEqVSKefPmUVxcTGlpKT/60Y8IhUJYrVZ++ctfdsjxhRBCiEJhs9koKiqif//++P1+s0eL3W4nEAhQVFSEy+VCURRSqRTBYJDq6mqSyWQ3n7kQohAYwZWamhqqq6vNgIuqqvh8PrOkuqqqKIqC2+2mvLycsrIyvF6vBGCE6KUURcHlclFWVkZZWRk+nw+LxYKqqng8HkpLS83rDuN9QNM0YrEY1dXVBINBotGoOdFDCCGEECKb1WqltLSU4uJiFEXBZrNRXFyMx+Mxxy9qamqIRqNm8pcQovtceumlpNNpbrrppry3effdd7nzzjvxeDy8+eabDQKzUHff8fWvf53ly5dz2WWXdeQpd4qCnC5SUVHBwoULWbhwYacfa/r06Tz88MM5TcIdDgcvv/wyp512Gp9++mnO+kVFRTz00ENMmzat089NCCGE6A6qqprZtJqmUVtbSzweNzNd3G63WSYonU4TDAZxOp243W4JrgjRBxlBlEQikTPYkV0G3ciwt9lseDwenE6nlC0Vog8y+tN6PB5isRiRSARN08z3C6ib6JFKpcyWC8lkkmQySTQaxWq1YrVacTqdkv0ihBBCiBxutxuHw0EwGCQej5vfh8NhkskkkUjELHUs1xFCdJ958+bxxBNP8OSTT3Ldddcxfvz4Fre566670HWdn/70p4wdO7bZdRVFYerUqR11up2mz78LKYrCj370owbPjxo1itWrV/Pmm2+yevVqEokEI0aM4KSTTpJ+s0IIIfoMq9VKIBAwgy/RaBQAr9drBmljsZhZ7thut+N0OnOCMUKI3knTNHOihsFqtZpBluzJGk6nE6/XK/2qhRBAXZlzj8eDx+Mx2yoYk74sFov5PmIEZ43etMYjFos1+X4jhBBCiL5LVVUCgQDxeJxgMAjUJVtlt1ioqanB7XablcGEEF3L5XLxy1/+kp/+9KfcdNNNPPnkk82un06nefXVVwGYO3duV5xil+jzwdnmWCwWZs2axaxZs7r7VIQQQohuZbVa8fl8DTJdjGBLNBrNyW6xWCy4XC7JjhOil2kuS9aYmGGwWCzmoIfNZuuO0xVC9ABGWwWo6xOVTCbNCWFGpi3UDcoY1xqJRAJN08xJIjabzczUl+sOIYQQQhj3JqFQiEgkkvO9kUUbj8fxeDw5FTWFEF3jkksuYdGiRfz1r3/l+uuvZ+LEiU2u+8UXX1BbW4vD4WDChAldeJadS+5ahBBCCJE3I9OlvLycoqIiFEXBbrdTXFxMIBDA7XZjsVjIZDJEIhGqqqqora2VPnFC9GC6rhOPx81esvF43AzMOhwOSkpK8Pv9ZmDW6XRSUlJCeXk5fr9fArNCiLwpioLD4aC4uJj+/ftTVFSE0+kE6jJhnE4nfr+f0tJSfD4fNpvNDOiGQiGqqqrMQVfpKVe4HnnkERRFyeuxd+/eJvfz0ksvccwxx+DxeCgqKuJb3/oWK1eubPH4ixcvRlEUzjjjjI58WUIIIQqMxWKhqKiIfv36YbVaze+9Xi+qqpJOp6mtraW2tpZ0Ot3dpytEj9TcddwzzzzT5HZOp5Nf/epXZDIZfv3rXzd7jH379gFQUlLS6ETMd999lwsuuKDBo9AVXOZsZWUlS5cu5V//+hfr16+npqam2TdHRVHQNK0Lz1AIIYQQgDnDNBwOE4vFUFUVj8eD2+0mkUgQi8XQNI1EIkEymcTtdksmrRA9iK7rxGIxYrFYzgQLI0vWZrOZZcCMLFmPxyPlRYUQHcK4rvB4PGQyGbM6RywWA+oGdJxOJ5qmkUwmicfjpNNps9WC1WrF4/FIOfVe6rHHHuP888/PCcK//PLLvP7667zyyivMnDmz0e127NjB9ddfj8/nY/HixV11ukIIIbqR3W6nX79+Zhaty+XC4XCYlTqMMQuPx4PT6ZRSx0K0wvnnn9/ksiFDhjS77cUXX8yiRYv4xz/+wf/+9z8mT57cpnPYtGkTf/7znxs8/8gjj7Rpf12loIKzr7/+Ot/73veoqqrqlFmujz76aIfu7wc/+EGH7k8IIYToaaxWK8XFxfj9fuLxONFolGQymTNgGgqF0DSNSCRCNBrF5XLhcrkkSCtEgdI0zQxuGNfkRsZa/QkWqqqaQVn5mxZCdBaLxWK+B/l8vpzSx1arFavVitvtNgO4RtnjYDCIqqrYbDbcbrdMHilAa9asaXbgzuv1NnguGAxy2WWXoes6Z599NjfddBOJRILLL7+c5cuXc+GFF7Jhw4ZGP5d++tOfEgqFuOeeexg4cGCHvhYhhBCFy8iadTqdZpUNYxJXJBIhlUoRDoeJx+N4vV6p/iNEntoTAHU4HFxzzTXMnz+fX//61zz99NONrldaWgpAdXU1mUymwTXeueeey7nnnmt+73Q6SSQSbT6vrlIwwdmdO3dy2mmnEQwGGTlyJKeddhp33HEHiqKwYMECotEon3zyCcuXLyeTyTBx4kROP/30Vh3jggsu6LCZL4qiSHBWCCGE2M/ImjMGRo3+LVarlZKSEhKJBJFIhHQ6TTQaJR6PS09aIQpIdp/HVCplPm8EXx0OR4MsWeklK4ToDkbpY4fDgc/nI5FImBNK7HY7drsdt9tNNBolFouRTqfNjFqHw4Hb7cZqLZihkD7P7XY3GoBtzjPPPEMoFGLgwIE8+uij5mfRX//6V4YOHcqmTZt4++23mTFjRs52L730En/729+YOnUqV1xxRYe9BiGEED2HcQ0RjUYJBoPYbDaKi4uJxWJEIhE0TaOmpgaHwyFVgYToAhdeeCG33XYbzzzzDB999FGj6wwfPhyfz0coFOKzzz7j4IMP7uKz7BwFMxp63333EQwGGTt2LB9//DGLFi0yl1133XXce++9/Pvf/2bTpk18/etfZ82aNaRSqRbrUden63qHPYQQQgjRkN1uN/tNulwuoO4GKBAI4Pf7UVU1pydtJBKRnrRCdBNd14lGo2Z/aCMwa7fbKSoqIhAImKW9jL/t/v37Sy9ZIURBMCaQBAIBs8+10VPO6/USCATw+XzmwGoikaC6upqampoGJdtFz/Hxxx8DcOKJJ+Z8FpWXlzN9+vScdQyxWIzLL78ci8XC0qVLZbBdCCH6OLfbTXl5OW63GwCXy0UgEMDhcAAHrhmi0ajEAYToRHa7nWuvvRagyVifqqqccMIJADz55JNddm6drWCmi/7rX/9CURSuuuoq802xMUOGDOHFF19kxowZ3HrrrRx33HF84xvfyOsYX3zxRUedrhBCCCFaoKoqJSUleL1eQqGQmbFit9vNDBdN08zMFqfTidvtlkxaITqZrus5PRqN4ER22dDsQWsjO036NgohCpnVasXr9eLxeIhGo4RCIeBAWXbjmiORSJBKpUilUkQiEbMSgPSX6zlqa2uBumBsff37989Zx3DzzTezefNm5s+fz+GHH975JymEEKLgqapKcXExLpeLYDCIpmn4/X40TSMcDpvXColEQvrYC9GJfvjDH3LLLbfw3HPPMWbMmEbX+fnPf87f//537r33Xs477zzGjh3bxWfZ8QomOLt582YAjjnmmAbLkslkTsDWarVyww03cPLJJ7NkyZK8g7NDhw7tmJMVQgghRN5sNhuBQIBUKmUGaY2+s0YJZE3TiMVixONxCdIK0UmMsp7ZAVmoG5Qwyoxnly52uVx4PB4p/ymE6FEURcHj8eByuYhEImaQ1mq14vf7yWQyxONxsy9tJBIhGo3idDpxuVySUdlNkslk3oPefr8fgL179zZYVllZmbMOwLp167jzzjupqKjglltu6YCzFUII0Zs4HA7KysqIRCKEw2GsVivFxcXE43FzvCIYDEqpYyE6ic1m47rrruPiiy/mwQcfbHSd6dOnc/XVV3PnnXcyc+ZMfve73zF79uwG633wwQek0+nOPuUOUTAjLZFIBICKigrzOaNxb21tLcXFxTnrH3bYYUDdP7YQQgghCp8RpDX6z2b3hmsqSCuDpEK0j67rpFIpYrEYyWTSfN5isWCz2bDb7Tn9ZI1ejdIPWgjR01ksFnw+Hz6fz+x5b4w7uN1u3G43sVjM7EtrXH8YvehsNptk03aBOXPmsH79evPab/z48XzrW9/i8ssvZ8CAAY1uM3nyZABee+010um0ea1YXV3Ne++9l7MOwKWXXkoymeTuu++mqKiok1+REEKInkhRFLxeL263m9raWnPilt1uN8cvEokEyWRSJpQLkeWCCy5octmQIUNYuHBh3vu59dZbzSTOxtx+++04HA5uvfVW5syZQ0VFBYcddhh+v5+9e/eyadMmNm3ahKIonHPOOa19KV2uYIKzRUVFZq+rkpISAEpLS9mxYwcbN25kyJAhOesbJWqMWZGibR555BF++MMf5rVuZWUl/fr1a3TZSy+9xG9+8xs++ugjrFYrRx11FAsXLmTatGnN7nPx4sVceeWVnH766fztb39r9fkLIYToeYxBT03TCIVCxGKxnCBtNBo1g0mSSStE22QyGbN8Z3aWrM1mw+VyYbfbc4IOUrpYCNGbqaqKz+fD6/WSSCSIRqMNKnkY1x9GhYGmSr2LjpXdGzYej/PRRx/x0Ucfcf/99/PHP/6RM844o8E2s2fPxuPxsGXLFi699FIWLlxIPB7nsssuIxKJMHToULMq25///GfeeOMNvvnNbzJ37txOfz179uxp9TjVxo0bO+lshBBCtJbFYqG4uBi3201NTQ2apuHz+cyKHMlkklgsRiKRMCe1ymQuATB36qDuPoVu8ec//7nJZVOmTMk7OGu1Wrnuuuv40Y9+1OQ6iqJw8803c+6557J06VL+85//8NZbbxGJRCgqKmLMmDGcfvrpnH/++UyYMKHVr6WrFUxwdvTo0bz//vvs3LnTLD88adIkduzYwfPPP8/xxx+fs/4LL7wA5Jaqaa///e9/PPbYY3zwwQdUVlaSSCTYtGmTuXzPnj18+OGH2O32vEsp9wWPPfYY559/fk5z9JdffpnXX3+dV155hZkzZza63Y4dO7j++uvx+XwsXry4q05XCCFEgbBarZSUlODz+QiHw0Sj0WaDtMYAqgRphWiaUa4zGo2a12YWiwWHw4HT6cwpUWy1WnE4HGawVgghejtFUcyAayKRIBwOk0gkzOuPVCpFIpEwJ7ZEo1Hz+sTlckk2bQdxuVycd955zJkzh/HjxzN48GAURWHDhg0sW7aM++67j1AoxNy5cykuLm4w/lJSUsLixYu56KKLeOihh3jooYfMZXa7nYcffhhVVamqquIXv/gFDocjp0Texx9/zFNPPcVXX31FWVkZc+bMabTFVls8+OCD3HTTTR2yLyGEEN3HbrdTVlZm9rG3Wq0UFRWRTCYJh8Ok02nC4TCxWMwM0grRl2THgvK1ZcuWZpf/8Ic/zCuRcNy4cdx7772tPn6hKZjg7HHHHcf777/PunXrOPLIIwE49dRTefnll3nggQcYP348Z599Nul0mmeffZbrrrsORVE49thj233sZDLJ5Zdfzh/+8AfgwC9W/Zsuu93O9773PeLxOJ9++injxo1r97ELyZo1axpkKGfzer0NngsGg1x22WXous7ZZ5/NTTfdRCKR4PLLL2f58uVceOGFbNiwodGB9J/+9KeEQiHuueceBg4c2KGvRQghRM9h9HPxer2NBmmNG59oNEosFjODTDabrbtPXYiCoeu6WTLcyJS1Wq14PJ6cYIKiKLhcLtxutwRkhRB9WmOVPGw2GzabDY/HQzKZJB6Pk0wmzYeqqmZwty9MFkulUjkT1tvCbrczYsSInOfOOusszjrrrAbrTp06lalTp3LKKadw4oknkkgkuOyyy/jss88aZC9feOGFlJWVcdttt7F69WqsVivTp0/nxhtvZPr06QAsWLCAyspKbrrpJkaNGgXAnXfeyYIFC3KqStx1111ceeWV3HPPPe16rUIIIXqX7D72oVCISCSC3W6npKTEnBCbTqcJhULE43F8Pp9U2xBC5K1ggrPf+c53uO2223jppZfMOtU//OEPufPOO9m8eTPz5s1j3rx55vq6rmOz2fjlL3/Z7mOfe+65/P3vf0fXdUaMGMGUKVN4+umnG6xXXFzM7NmzeeKJJ3j66af51a9+1e5jFxK3291oALY5zzzzDKFQiIEDB/Loo4+aA+V//etfGTp0KJs2beLtt99mxowZOdu99NJL/O1vf2Pq1KlcccUVHfYahBBC9FxGkNbIpDVufIw+tdFoFE3TzHKDxuCpBGlFX6dpGuFwmFQqBdSV76w/e9tms+F2uyX7XAgh6jEqefj9frMHbSqVMoO3Rj/aRCJBOp0mEok0yKbtrbZv38748ePbtY+RI0e2umzvzJkzufzyy7nrrrvYsGEDK1euNCfxZzv11FM59dRTG93HihUr+MMf/sCYMWNYsGABAMuXL+f//u//cLlcPPzww5x88sm8//77nHPOOdx7770cfvjhXVL6WAghRM9isVgoKirC4/FQW1trVvZyOBxmkDaVSlFdXW0Gc4UQoiUFMzIzffp0Hn744ZwLa4fDwcsvv8zBBx+Mrus5j6KiIpYtW9ZiT9OW/POf/+Rvf/sbiqLw4IMPsnHjRh599NEm1//2t78NwJtvvtmu4/YWRn+YE088MeemtLy83Jytmt1DBiAWi3H55ZdjsVhYunSpzCgSQgiRQ1VVioqKKC8vN4NLDoeDkpISiouLcTgcQF02R01NDbW1taRSqTaVVBGipzLKbVZVVVFdXU0qlTJndpeUlJh/Oy6Xi/LycsrKyvB4PBKYFUKIJqiqitfrpayszHzPVBTFfN5oxWC1Ws1qBTU1NQSDQXNyjOg4c+bMMb9etWpVq7bVNI158+ah6zpLliwxrx3vu+8+dF3nyiuvZO7cuRQVFXHCCSdw8803A3D33Xe3+7znz5/Pp59+2qrHM8880+7jCiGE6HxWq5VAIEBpaSk2mw2LxYLb7aakpASbzYau64TDYYLBIOl0urtPVwhR4Aomc1ZRlEab/Y4aNYrVq1fz5ptvsnr1ahKJBCNGjOCkk07qkH6zf/zjH1EUhSuuuCInM7cpU6ZMAWDdunXtPnZvUFtbC9QFY+vr379/zjqGm2++mc2bNzN//nwOP/zwzj9JIYQQPZJx45NKpYhEIjnlBo3MFaMvXCKRQFEUs39mdl9NIXoLTdNIJBIkk0k0TctZ5nA48Hg85qQ3h8OBz+eT0sVCCNEGNpuNoqIifD4fsVjMzIgxShqnUini8bj5npxMJrHb7TidTux2e6/pSzts2LBum/xmjCcA1NTUtGrbe+65h08++YTvf//7HH/88ebz77zzDgAnn3xyzvrGJPxVq1YRj8fb1TewvLy80fERIYQQvYfD4aCsrIxYLGaOexcXFxONRolEIiSTSTOL1ul09prrAiFEx+oRI5cWi4VZs2Yxa9asDt/3Bx98AJBXo2GAiooKACorKzv8XAqFcWOZDyNAvnfv3gbLjH+j7CD6unXruPPOO6moqOCWW27pgLMVQgjR29lsNrPccTQaJRqNAnWfL5qmmQOmmUwmp+Sxy+XqVQOkou/KZDKEw2ESiUTO81ar1fw9NzJijczz9gwsCyGEqGOxWPB4PGYP2vqTxdxuN9FoNKc3rcViMd+bZbJY2+3cudP8uqSkJO/ttm7dyk033URxcXGDTFhj3KJfv345zxvB1EwmQ1VVFQcddFBbT1sIIUQfYpQ2rq2tJRqN4na7cTgchEIhUqkU4XCYeDyO1+vt1W0QhBBtUzB1zQ499FC+9rWv8fLLL3fpcfft2wfA0KFD81rfGPjqjaUJ5syZY36ouFwuDj30UK699tqcm6L6Jk+eDMBrr72W829SXV3Ne++9l7MOwKWXXkoymeTuu++mqKiok16JEEKI3khVVXw+H2VlZfj9fhRFwWq14vf7KS0tpaioCIfDgaIopFIpamtrqa6uJhqNkslkuvv0hWg1IyhbVVVlBmaNDNnS0lKzfLHFYsFisZjlOCUwK4QQHc9ut1NSUkL//v3x+/1YLBbz2iQQCOB2u1FVlUwmQyQSobq6mpqaGuLxeHefeo/0j3/8w/z60EMPzXu7K664gkgkwm233dYgg9XoAbhnz56c53fv3t1gHSGEECIfFouF4uJiAoGAeW1QXFyM1+vFYrGgaRo1NTWEQiFpxSSEyFEw0zg//fRT0uk0EydO7NLj+v1+qqqqCIVCeQULt23bBkBpaWlnn1qXy+4NG4/H+eijj/joo4+4//77+eMf/8gZZ5zRYJvZs2fj8XjYsmULl156KQsXLiQej3PZZZcRiUQYOnQoxxxzDAB//vOfeeONN/jmN7/J3LlzO/W17Nmzp9XZzRs3buyksxFCCNGRjCCU2+02M1g0TcNut2O328lkMsRiMeLxuFn+OBaLSYlX0WNk/w4bEwusVmujM66dTider1d+t4UQoosYPWiNrNlwOAyAx+PB7XYTi8VIJpOkUinzIQ4IhUJkMplmx19effVVHnzwQQDGjRvHtGnT8tr3s88+yz//+U+OPPJILrnkkgbLJ06cyHvvvcc///lPjj32WPP5f/7znwAcdNBBrcrSFUIIIQxOp5Py8nIzi9ZIgIpEImaFr1Qqhc/nkyxaIQRQQMHZ/v37s2PHDtxud5ced/To0bz//vu89957jQYf63vllVeA3GzQnszlcnHeeecxZ84cxo8fz+DBg1EUhQ0bNrBs2TLuu+8+QqEQc+fOpbi4mG984xs525eUlLB48WIuuugiHnroIR566CFzmd1u5+GHH0ZVVaqqqvjFL36Bw+Ewb7KgLiD81FNP8dVXX1FWVsacOXPMYG57PPjgg9x0003t3o8QQojCZbFY8Pl8+Hw+NE0ze8JB3QCpy+UikUgQi8VIp9PU1tbi9Xolq1AUrGQySSwWI5VKmbOqjSCAEXxVFMW80Zf+RUII0X2yJ4vFYjEzKOt2u3G73aTTaXMgVgK0B2zatImZM2dy1llncdJJJzFp0iRKS0tJp9OsX7+eJ554gt/97nek02lsNhsPPvigWcGsOZFIhJ/85CdYrVaWLl3a6OfjOeecw3vvvcf999/P2LFjOfnkk3n//fe5/vrrAfj+97/f4a9XCCFE32Fk0bpcLoLBIJqm4fP5cDgchMNh0uk0NTU1OJ1OPB5PXp9vQojeq2CCs9OmTePZZ5/ls88+y5nB2Nm+9a1v8d5773HnnXdy2mmnNfumWFlZyd13342iKHznO9/psnMESKVSbNq0qV37sNvtjBgxIue5s846i7POOqvBulOnTmXq1KmccsopnHjiiSQSCS677DI+++wzVFXNWffCCy+krKyM2267jdWrV2O1Wpk+fTo33ngj06dPB2DBggVUVlZy0003MWrUKADuvPNOFixYkFNq8q677uLKK6/knnvuaddrFUII0bdYrVZ8Ph9er5dYLEYkEiGVSplBLKNfZygUIhqN4nA4cDgc0gtOFASjj6GmaeZzVqsVt9ud0zfZ5XLh9/sbXIsJIYToPtl9aePxONFolGQyCdRNFoO6+3kpb3xAbW1tg8nd9ZWVlfGnP/2JWbNm5bXPG2+8ka1bt3LVVVcxZcqURteZN28ef/nLX3jnnXe4+OKLc5aNGzeO6667Lv8XIYQQQjTB4XBQVlZGJBIhFApht9spLi42xyXi8TiJRAKPxyMTboXowxS9QIqdv/rqq5x44omcfPLJPP/881123OrqakaOHEkwGGTOnDksXboUt9uNz+dDURSzj+p7773HRRddxGeffUb//v3ZtGlTl2b5btmyheHDh7drHyNHjmxT6d6rr76au+66C4B3332XI488slXbr1ixgmOOOYbRo0fzv//9D4fDwfLlyznuuONwuVw8/PDD5ozVc845h3379vH444+3q/TxjTfe2O7M2U8//bTLy2wLIYToOIlEwrz5AYhGo0Sj0Zw+L3a7Hbfb3WJZoVAoRDwex+PxmJOMhMi2Zs0aDj74YPP7F198scnBYYOmaUSjUfN3FOrKYblcrpyJA06nE7/fL5MJhBCihzDK0ycSCRKJhHntcdBBB3XzmXW/cDjMX/7yF9577z1WrVrF7t272bdvH7quU1payuTJk/nWt77F+eefn1frKYBPPvmEQw89lAEDBvDZZ5/h9XqbXDcSiXDzzTfzl7/8JaeC18KFC7utfVX9awgZixBCiN5D0zSqq6vNKhqpVIpwOGxOzDUmmjd1r1dTU0MqlcLv97c7NiBaR9M0Pv/885znRo8eLfflvUQh/HwLJjgLcMMNN3DzzTfzve99j7vvvrvLblxefPFFZs+eTSaTwWazMWXKFFauXImiKBx//PFs3LiRrVu3ous6NpuNl156ieOPP75Lzs3QncHZt99+28xmfuCBB5g/f37e22qaxqGHHsonn3zCv//9b/Pf7YwzzuDvf/8711xzDb/5zW/M9ZcuXcqll17KYYcdxsqVK1t9roa29pydM2eO+b3cEAkhRM+n6zq1tbVEIhHz+2QySTweN7NaoC745XQ6mwzSSnBWtCTf4GwqlSKRSJBMJs1JgFCXFet2u3OquDidTulJJIQQPVw6nTYni5WXl3f36YgCJMFZIYTo3XRdN7NojVCM0ZYpk8mgKAputxun09mgqqcEZ7tPIQTvROcphJ/v/8/efYZHUf1/H/9seiUBQu8QiqCICApIb1JEmoCISBEUK3bB8gNRVKyA0lQkIqB06SBoQOm9F0OHUENJIQRSzv2Ae/efkN30Cu/Xde3FMqfMd3Ymu2fmzJyTZ46k/v37S5JKlSql2bNna968eapVq5YqVqyY4hOqFotFkydPztS627VrpxUrVqhPnz4KDQ1N0in4999/2740S5QooV9//TXHO2YlqXz58sqtfvRixYrZ3l+9ejVdZb/99lvt2bNHvXr1SvK5rVu3TtKtzz6x9u3bS5K2b9+umJiYDM8LWLRoUU58AQCyWCzy8/OTq6ur7e5U65DGiZ9ajImJUUxMjFxcXOTh4SF3d3fmf0GWMcbo+vXriomJSdIhK90a8srLy8t2AmCdS9nT05NjEADuAM7Ozml+AhQAANx5LBaLfHx85OnpqYiICF2/ft02BVNkZKRtmpvo6Gh5eXnJ09OToY6Bu0Ce6ZwNCgqyfekYYxQXF6dt27Zp27ZtDssYY7Kkc1aSmjdvrqNHj2rmzJn6888/dfDgQV29elW+vr6qVKmSHn30UfXq1SvDnYX52dmzZ23vCxYsmOZyJ0+e1EcffSR/f3998803SdLCwsIkSQEBAUmWWztUExISdPnyZYZ9AgBkCS8vL3l5eSk2NtY2vLGLi4sKFCiQ5EnauLg4RUVF6dq1a3J3d0/xaVogLW4ftspiscjNzU3u7u5ydXW1dcBaLBb5+vrK29ubE3EAAAAAuMM4OzurYMGC8vLyUnh4uOLi4uTn52ebsz4+Pl7Xrl1TTEyMfHx85ObmltshA8hGeaZztmzZsrlyIWr37t2Sbj0VW6RIET399NN6+umnczyOvGzevHm297Vr105zuVdeeUXXrl3TxIkTkz3F6unpqcjISF24cEFVq1a1LT9//nySPAAAZCVXV1f5+fnJ19fXNqyQm5ub3NzclJCQYHuCNj4+3vbe3d0910avQP4VHx+viIgI23yyTk5O8vb2lpubW5InYp2cnOTl5SUfHx+elAUAAACAO5y7u7sCAgIUERGh6Oho2zRLMTExunbtmuLj4xUeHi5PT0+uRSDPu3btmiZNmqRFixZp//79unLliry9vVWtWjW1atVKAwYMUNmyZRUUFKR+/fqlud4+ffooKCgo+wLPA/JM5+zx48dzZb21atWSk5OTVq5cqWbNmuVKDLklMjJSCQkJKQ6xtHLlSo0fP16SVK1aNdWtWzdNdS9YsEALFy5UvXr19NxzzyVLr1GjhjZu3KiFCxfa5rOVpIULF0qSSpYsma6ndAEASA/r0LFeXl62J2mlpE/YXr9+XTdu3LB1rgHpkfjY8fDwkLe3t63z1dnZ2TaMlbu7e26GCQAAAADIYU5OTvL395eXl5eioqJs0/u5ubnZnp69fv16boeJdCg/dEluh5Cq45+1z9L61q9fr65du+rcuXPy8vJSvXr1VKxYMYWHh2vLli3auHGjvvjiCy1evFiBgYHq06dPivVdv35ds2bNkiSVLl06S2PNi/JM52xu8fb2VnR0tGrWrJnboeS4I0eOqEmTJurRo4fatGmj++67T4ULF1Z8fLwOHTqk3377TZMmTVJ8fLxcXV01fvz4ND3Rce3aNb366qtycXHRxIkT7T4R/dRTT2njxo367rvvVLVqVbVr106bNm3Shx9+KEnq1atXlm8vAAC3c3Z2lq+vr3x9fW1DCcXExMjV1VWurq6Ki4tTZGSkbUhaID1cXV3l4+Njm0/W1dVVBQoUoEMWAAAAACA3NzcVKlRIN2/eVHh4uGJjY+Xr6ys3NzdFRUUpISEht0ME7Nq5c6datGihmJgYvfvuu/rwww/l7e1tS09ISNAff/yhd955R6dPn1bfvn3VsGHDFOscMGCAJKlmzZr64IMPsjX+vCBXOmednJzk5OSkiIgIeXl52c1z8uRJSbeGO85OZcqU0aFDhxQdHa3ChQtn67ryooiICP3444/68ccfHeYpUqSIpkyZkuYni4cPH66TJ0/qjTfe0P333283z6BBgzRz5kytW7dOAwcOTJJWrVq1u+KPDwCQt1iHEoqPj1d0dLSioqLk4uIif39/Xb9+XdeuXcvtEJGPeHl5yd/fXxLzyQIAAAAAHHNzc1ORIkUUFRWliIgIubu7y9XVVdHR0TxBizzHGKPevXsrJiZGw4cP17Bhw5LlcXJyUpcuXdSiRQudOnUq1TqnT5+uyZMny8fHR7NmzZKHh0d2hJ6n5NrEVimNl37t2jWVL19eFStWzPY42rZtK0n666+/sn1deU1gYKB++uknDRgwQLVr11apUqXk4eEhd3d3lSxZUm3atNGYMWMUEhKi9u3T9sj7nj17NHr0aJUpU0YfffSRw3yurq5asWKFhgwZogoVKsjV1VUlS5bUiy++qLVr16pAgQJZtZkAAKSL9WnaokWLytPTUxaLRV5eXipYsKCcnZ1zOzzkE9YTCS8vLxUrVkw+Pj50zAIAAAAAHPLx8VGRIkXk6uoqJycn+fj4yN/fP02jWQI5Zfny5dq7d69Kly6t999/P8W8fn5+uvfee1PMc+jQIQ0aNEiSNHHiRFWtWjXLYs3L8vSwxjkx4fVbb72lX375RR9++KFatmx5V4xlbeXj46Nnn31Wzz77bJbVed999yk2NjZNeb29vfXZZ5/ps88+y7L1AwCQVZydnVWwYEF5eHgoPDxcLi4utuFpgdQ4OTmpcOHCDGEMAAAAAEgzV1dXFSlSRNeuXVNERIRcXV1zOyQgiSVLbs2v261bt0xfJ7t+/bq6deumqKgoDRgw4K6a7vKuv+WiRIkSWrZsmSwWix544AF9+eWX2r9/v2JiYnI7NAAAkAd4enqqSJEi8vb2lpubW26Hg3yiUKFCdMwCAAAAADLE29tbRYoUkZeXF9cikKfs3LlTklS7du1M1/XKK69oz549uu+++zR27NhM15ef3PWPfyQentAYoyFDhmjIkCGplrNYLIqLi8vO0AAAQB7h7OwsPz+/3A4D+QjDTgEAAAAAMsPFxUX+/v65HQaQxKVLlyRJRYoUyVQ91nlmvb29NWvWLHl6emZFePnGXd85e/vQyTkxlDIAAAAAAAAAAABwt0k8z+yECRNUrVq1XI4o5931nbPDhg3L7RAAAAAAAAAAAACAPK1w4cKSpIsXL2aofExMjLp3766oqCj1799fvXv3zsrw8g06Z+mcBQAAAAAAAAAAAFJUq1YtrVu3Ttu3b9fTTz+d7vKvvPKKdu/erXvvvVfff/99NkSYP+Rq5+zatWvl4eGRbPn169dt7//9999Uhxpu3LhxlscGAAAAAAAAAAAA4Jb27dtr3Lhxmj17tr744gu5uKS9m3HGjBn66aef7tp5ZhPL1c7Ztm3bOkyzWCySpKZNm6ZYh8ViUVxcXFaGBQAAAAAAAAAAACCRNm3aqEaNGtq3b59GjhyZ4ui0EREROnXqlGrUqKFDhw7p+eeflySNHz9e99xzT06FnCc55daKjTFZ9gIAAAAAAAAAAACQfSwWi6ZNmyYPDw8NHz5cQ4cO1bVr15LkMcZo4cKFqlOnjrZs2ZJkntm+ffvqmWeeyaXo845ceXJ2ypQpubFaAAAAAAAAAAAAABlUq1YtrVq1Sl27dtXnn3+usWPHqn79+ipWrJjCw8O1detWnT9/Xh4eHipTpow+/vhj7d69W5J07do19e3bN8X6q1WrpiFDhuTAluSeXOmc7dOnT26sFgAAAAAAAAAAAEAmPPLIIzp8+LAmTZqkRYsWaffu3bpy5Yp8fHxUtWpVDRo0SAMGDFDp0qX166+/2srNnj071bqbNGlC5yxwt7hx40aS/x8+fDiXIgEA5HWVKlWSh4dHboeBPIR2BAAgLWhD4Ha0IQAAaUU7Iu86/ln73A4hV/j4+OjNN9/Um2++mWK+oKAgBQUF5UxQ+QSds8D/d+rUqST/79SpU+4EAgDI8/bu3asaNWrkdhjIQ2hHAADSgjYEbkcbAgCQVrQjgDuHU24HAAAAAAAAAAAAAAB3AzpnAQAAAAAAAAAAACAHWIwxJreDAPKCq1evas2aNbb/lylTRu7u7rkYUd52+PDhJMMt/fHHHwoMDMy9gJAvcRwhK+TGccQ8L7gd7Yi8h9+YvId9kvewT3IebQjcjjYErPhORm7h2Ms/aEfknLi4OIWEhCRZVrlyZbm4MFPonSAv7F+OJOD/8/f3V8eOHXM7jHwrMDCQOQ+QaRxHyAocR8gNtCPyPr4b8h72Sd7DPgFyHm0IOMJ3MnILxx4AZD+GNQYAAAAAAAAAAACAHEDnLAAAAAAAAAAAAADkADpnAQAAAAAAAAAAACAH0DkLAAAAAAAAAAAAADmAzlkAAAAAAAAAAAAAyAF0zgIAAAAAAAAAAABADqBzFgAAAAAAAAAAAAByAJ2zAAAAAAAAAAAAAJAD6JwFAAAAAAAAAAAAgBzgktsBAAAAAAAAAAAAAPnRouNf5nYIqepQ/u0srS84OFjff/+9Nm7cqIsXL8rb21tFixZVzZo11aRJE/Xu3Vt+fn5JyhhjNGvWLM2cOVNbtmzRxYsX5erqqrJly6px48bq16+fHnroIa1evVrNmjVLVzx9+vRRUFBQFm5h9qJzFgAAAAAAAAAAAECqRowYoWHDhkmS7rnnHj388MNydXXVoUOHNG/ePM2ZM0d16tRRvXr1bGXOnj2rzp07a9OmTXJ2dtaDDz6oBg0a6ObNm9q3b58mTpyoiRMnasSIEerWrZv69OmTbL1z5szRtWvX9Oijj6p48eJJ0ho2bJi9G53F6JwFkCFFihSxfQFb/w+kF8cRsgLHEQB7+G7Ie9gneQ/7BADyDr6TkVs49gCkx7Zt2zR8+HC5urpq1qxZ6tSpU5L0c+fOadq0afL397cti4yMVNOmTfXff/+pffv2Gj9+vMqWLZuk3NatW/XOO+/oyJEjqlatmt2nYFevXq1r165pyJAhatq0adZvXA6yGGNMbgcBAAAAAAAAAAAA5La4uDiFhIQkWVa5cmW5uNh/3vFuGtb4/fff16effqpevXpp2rRpaSrz0ksvafz48WrZsqWWL18uZ2dnu/kSEhK0adMm1a9f3256+fLldeLECQUHB2eqcza9+zc7OOXYmgAAAAAAAAAAAADkSxcvXpSU9qfsL1++rJ9//lmS9N133znsmJUkJycnhx2zdxo6ZwEAAAAAAAAAAACkqEyZMpKkuXPn6sKFC6nm//vvvxUTE6MHHnhA1apVy+7w8g06ZwEAAAAAAAAAAACkqFevXvL09NSpU6cUGBiovn376qefftKOHTsUHx+fLP/OnTslSbVr187hSPM2OmcBAAAAAAAAAAAApKhixYpatGiRypQpo8jISP3yyy8aOHCgateurYCAAL344os6e/asLf+lS5ckpX0Y5LsFnbMAAAAAAAAAAAAAUtWiRQsdPnxY8+bN06BBg1S7dm25uLjo6tWrmjBhgmrVqqVDhw7ldph5Gp2zAAAAAAAAAAAAANLEzc1NnTt31oQJE7Rt2zZdvHhREyZMUMGCBXXhwgW9/PLLkqTChQtLki5evJib4eY5dM4CAAAAAAAAAAAAyBB/f38NGjRIQUFBkqTg4GBFR0erVq1akqTt27fnXnB5EJ2zAAAAAAAAAAAAADKlefPmkqT4+HhdvXpVzZs3l4eHh3bs2KGDBw/mcnR5B52zAAAAAAAAAAAAAFJkjEkx/fDhw5JuDXscEBCgQoUKqX///pKkV155RfHx8SnWvXHjxqwLNg+jcxYAAAAAAAAAAABAij788EO9/fbbOnLkSLK00NBQPf/885Kkxx9/XG5ubpKkzz//XJUrV9aqVavUqVMnnTp1KlnZXbt2qXXr1po4cWL2bkAe4ZLbAQAAAAAAAAAAAADI26KiojRmzBh99dVXqlKliqpXry4PDw+dPn1amzZtUmxsrAIDAzV69GhbGV9fX61Zs0adOnXS4sWLtWzZMtWpU0fly5fXzZs3tX//fh06dEiSNHLkyFzaspxlMak9gwwAAAAAAAAAAADcBeLi4hQSEpJkWeXKleXiwvOOYWFhWr58uVasWKFdu3bpzJkzCg8PV4ECBXTPPfeoY8eOevHFF+Xt7Z2sbEJCgmbNmqWZM2dqy5YtunjxolxdXVWuXDk1adJEzz77rB588EGH6y5fvrxOnDih4OBgNW3aNMPbkBf2L52zAAAAAAAAAAAAgPJG5x2yT17Yv8w5C9zl4uPjtWvXLk2ePFmDBg1SnTp15ObmJovFIovFouPHj6ervjVr1qhHjx4qU6aM3N3dVaJECT322GNauHBhqmUPHjyorl27qlChQvLy8lKdOnU0Y8aMVMtt375dLi4uKleunK5du5aueJF1Mrrv2e93tqNHj2rWrFl6++231axZMxUoUMD2/RIUFJTuul599VVVrlxZXl5eKly4sBo0aKDvvvtOsbGxKZa9evWqBg8ebDs+AwMDNWLECN24cSPFclFRUSpbtqxcXFy0c+fOdMULwL7jx4/bvgdSe82ZMyfFunbu3Kn+/furQoUK8vDwUNGiRdWiRQtNnTpVqd2DGhoaqn79+qlYsWLy8PDQvffeq7Fjx6apnK+vr/z8/HTmzJl0b39e1LRp0zTvE+sro3U89thjDuOIiYnRsGHDVKlSJbm7u6ts2bJ64403FB4enmL8CQkJqlOnjiwWixYvXpzpzyMn5JXfR6sLFy5o6NChqlGjhnx8fOTn56fatWtr5MiRioqKSrHs3bTfACAtoqKiNHv2bNs1loIFC8rV1VWFChVSvXr1NGzYMJ09ezbN9XGdBWnFNT4AyEcMgLtacHCwkeTwdezYsTTXNXToUGOxWBzW1bt3bxMfH2+37N69e42fn5/dcp9//rnDdcbHx5u6desaSWbBggXp3XxkkYzue/b7nS+l75cpU6akuZ558+YZb29vh3XVqlXLnD9/3m7Za9eumZo1a9ot165dO5OQkOBwvW+88YaRZF5//fX0bjoAB44dO5bid0Pi1+zZsx3WM27cOOPq6uqwbMuWLc21a9fslj1z5owpU6aM3XKDBg1KMf4uXboYSWbMmDGZ+hzykiZNmqR5n0gyNWvWzHAd7du3txtDfHy8ad26td0yDzzwgImOjnYY/9ixY40k07lz5yz7TLJbXvh9tFq3bp0pUqSIwzoqVKhgDh06ZLfs3bbfACA1586dMx4eHqn+Hvr6+pqZM2emWh/XWZAeXOMDsk5sbKzZv39/kldsbGxuh4Uskhf2L52zwF0uccOtbNmypkuXLqZRo0bpbriNGzfOVqZOnTpm1apV5sKFC2bHjh3mqaeesqW98847dss3btzYSDL33Xef2bhxozl69Kh55ZVXjCTj4uJiDh8+bLfc999/bySZjh07ZvATQGZlZt+z3+981v1fqFAh06pVK9O9e/d0X3zetm2b7QJH0aJFzbRp08yZM2fMkSNHzIgRI4yLi4uRZOrVq2f35PB///ufkWT8/f3N3LlzzenTp82kSZOMm5ubkWSCgoLsrnfXrl3GxcXFlC5d2kRGRmbmYwCQSOLO2YkTJ5rIyEiHr7i4OLt1LF682HaxKDAw0CxYsMCcP3/eHDhwwLz66qu2+rt37263/DPPPGMkmTJlyphVq1aZkydPmpEjR9rqXL16td1yS5YsMZJM7dq1HcaWH0VHR6e4HyIjI20daZLMt99+m6wOa+dsw4YNU6zn+vXrdmP4+eefjSTj7u5ufvzxR3P69Gkze/Zs24W94cOH2y135swZU6BAAePj42NOnTqVlR9LtsoLv4/GGHPy5ElTuHBhI8l4e3ub77//3pw6dcqcOnXKfP/997aO30qVKtn9Lbzb9hsApObUqVNGkvHw8DC9evUyv/32mwkJCTGXL182Bw4cMB9//LHtu9vZ2dmsXLnSYV1cZ0F6cY0PyDp5ofMO2Scv7F86Z4G7XGhoqFm6dKm5cOGCbdmwYcPS1XC7fPmy8ff3N5JM5cqVTVRUVLI8PXv2tDXCQkJCkqQdP37ctr59+/YlSatdu7aRZD766KNkdZ49e9b4+fkZb29vc/LkyTRuMbJSZvY9+/3uMHPmTHPkyBHb/xOfLKb14rP1gr+bm5vZvXt3svRJkyalWGf58uWNJDNu3Lgky19//XUjyTRr1ixZmYSEBFO/fn0jycydOzdNcQJIm8Sds+l5QtAqNjbWBAYGGkmmcOHC5syZM8nyDB061LaO2ztaY2JibBdFlyxZkiStc+fORpLp169fsjqjo6NNhQoVjJOTk9myZUu6487vGjRoYCQZV1fXJO1GK+t3dZMmTTJUf9OmTY0k8/bbbydZPmbMGCPdenrTHmun5tdff52h9eaWvPD7aIwxffr0seVZsWJFsvTly5fb0ocNG5Ys/W7bbwCQmvPnz5t33nnHhIWFOczz999/224IszcahTFcZ0HGcI0PyDp5ofMO2Scv7F/mnAXuciVLllTbtm1VpEiRDNfx66+/6urVq5KkESNGyNvbO1meL774Qs7OzoqLi9OECROSpO3atUuSVLFiRVWvXj1JWseOHZPkSez1119XeHi4hg8frjJlymQ4fmRcZvY9+/3u0L17d1WsWDHD5Xfv3q01a9ZIkvr166f77rsvWZ7nnntOVatWlSR99913SdIiIiJs8+p06NAhSVqnTp0k2T/OfvjhB23YsEHt27dXly5dMhw/gKy3dOlSHT58WJL01ltvqUSJEsnyfPjhh/L395ckjR07NknaoUOHFBMTI1dXV7Vp0yZJWkrfCyNGjNCxY8f0wgsvqE6dOlmwJflHSEiI1q9fL0l67LHHMtVudMT6mTv6rj527JgiIyOTpK1YsUKzZs3S/fffr8GDB2d5TNkpt38fJeny5cuaPn26JOnRRx9V69atk+VJvHzChAlKSEhIkn637TcASE3RokU1atQoFS5c2GGeZs2aqX379pJufZ+fOnUqWR6usyAjuMYHAPkHnbMAMm3BggWSJHd3d3Xu3NluntKlS+uRRx6RJP3xxx9J0iIiIiTdOom5XbFixZLksVq5cqV+//131axZU6+99lpmwkcmZGbfs9+RFtZjTJKefPJJh/l69OghSdq+fXuSixuJj6HbjzVHx9mFCxc0dOhQeXl56fvvv8948ACyRVq+Fzw9PfX4449LkpYvX64bN27Y0qx/84ULF5aTU9LTIUffC/v379fXX3+tEiVKaOTIkZnfiHxmypQptvf9+vXLlnU4ahdY90niPJIUExOjl156SU5OTpo0aZKcnZ2zJa68KrO/j5K0ZMkSxcXFpVqHNe3ChQtat25dkjT2GwBkzL333mt7Hxoamiyd6yzILRx7AJAz6JwFkGlbt26VJNWuXVvu7u4O8zVo0ECSdPToUdtdeJJUoEABSVJYWFiyMhcvXkySR5Ju3LihF198URaLRRMnTpSLi0umtwEZk5l9z35HWliPMScnJz388MMO81mPMUnatm2b7X3iY+j2Y83ecSZJb775pq5cuaL//e9/Kl++fIZjB5B2N2/eTHNe6/dCiRIlUvwbtX4vREdH68CBA7bl1r/5y5cvyxiTpIy97wVjjF544QXFxsbq22+/lZ+fX5pjvRMkJCRo6tSpkqTixYurbdu2aS5n7fhLC0ftAus+SZxHkkaOHKkjR47oueeeS/H34U6V2d/HxHXcni89dbDfACBjzp8/b3t/+/mIxHUW5B6OPQDIGXTOAsiUs2fP2u54q1SpUop5Ew/dlvgiac2aNSVJR44csQ1TaLV06dIkeSTp008/1eHDhzVw4EDVr18/cxuADMvsvme/Iy0OHjwo6dbwTJ6eng7zOfp+KVCggMqVKyfp1tNzidk7zoKDgzVt2jTde++9euONNzK/AQBS9Nlnn6lQoUJyd3eXq6urAgMDNWDAAO3cudNufmOM/vvvP0kZb3dUrVpV7u7uunnzpv7+++8kZex9LwQFBemff/7Ro48+ansK8W6ycuVK2xM9vXv3TvWC2Z49exQYGChXV1e5urqqcOHCatu2raZNm5ZiZ631M3f0XV2+fHn5+vpKujU09RdffKFixYrps88+y/C25WeZ/X1MXIeTk5MqVKjgsI4KFSrIYrHYrYP9BgDpd/36dS1atEjSrZE8rEPQW3GdBbmFYw8Acg6dswAyJfFd8YmHL7MncXriO+jKly+vBg0ayBijp59+WgcOHFBYWJg+/PBDbdiwQc7OzurZs6ck6b///tOoUaNUtGhRff7551m8NUiPzO579jvSwnqcZfT7RZJ69eolSXrvvfe0atUqRUREaObMmRozZowk6emnn5Z068m9F154QRaLRRMmTJCrq2uWbQcA+/777z9duXJFkhQXF6cjR45o8uTJql27toYOHZrsydbIyEjFxMRIyvj3gru7u7p27SpJeuGFF7RlyxZdvXpV48aN06xZsyT93/fCpUuX9M4778jDw0Pjxo3L5NbmT+kd0vjy5cs6cuSIbW7Sy5cva/ny5erdu7caNGig06dP2y1n/a7+9ttvNXv2bEVERGjlypV6//33Jf3fPpFu7bebN2/q66+/ts0tfLfJit9Hax0FCxZM8TfPzc3N9jk7+o1lvwFA2n3yySe279MXX3wx2RDvXGdBbuHYA4CcwzgBADIlKirK9t7DwyPFvInv6k9cTpLGjRunxo0ba9OmTapevXqStP/973+qUqWKpFsnLjdu3NBXX32lggULSpLOnTunqVOn6sCBA/L09FSTJk3UrVu3ZPPIIWtlxb5nvyM11uMlM98vQ4YM0fz583XgwAG1atUqSVrLli1tnQ2jRo3SoUOH1L9/fzVs2FDSrSGWpk+fro0bNyo+Pl7333+/+vbta3foMQBp4+TkpJYtW6pHjx6qW7euSpcuLR8fH506dUpLlizRp59+qgsXLujzzz+Xm5ubPvroI1vZrGp3jBo1SsHBwQoJCdFDDz2UJK1fv35q0aKFJOmdd95RWFiYRowYYXt6IDw8XFOnTtXOnTvl7Oyshx9+WE8//XSKw77lV1euXLHNI/bwww/rnnvucZi3fPnyatKkiVq2bKly5cqpePHiioiI0MaNG/X1119r9erV2rJlix599FFt3rxZ3t7eScr3799fM2bM0OrVq9W9e/ckaffee6+GDBkiSfr1118VHBysFi1a2DoG4+PjNWfOHK1Zs0bXr19XtWrV1KdPHxUvXjwLP428JSt+H9Nah7WeK1euJKuD/QYA6bNixQqNGjVKkhQYGKh33nknWR6usyC3cOwBQM6hcxbIJ2JjY3XkyJFM1eHm5pZk2JGsZh3uLCPptWrV0vr16/Xhhx8qODhYN27c0D333KPBgwerT58+kqTp06frr7/+UrNmzdS7d29J0urVq9WxY0fbsCuSNGHCBI0bN05LliyxDaOG7JXRfc9+R1pl5vvF19dX//77r4YNG6b58+fr4sWLKlOmjHr16qX33ntPTk5OOnLkiD799FMFBAToiy++kCSFhoaqZcuWtmEfrUaNGqWVK1cmO8kEkDZly5bVypUrky0PDAzU4MGD1b17dz3yyCM6duyYPvvsM/Xp08du+yUz3wulS5fWxo0b9cEHH2jZsmWKiIhQpUqVNHDgQA0ePFiStHbtWk2ZMkVVq1bVu+++K0nau3evWrdurbNnz9rq+vHHH/XNN99o1apVKlGiRJo+g/zit99+040bNySl/tRsUFBQsmUBAQF67LHH1L59e7300kuaMGGC9u/fr2+//VYffPBBkrzOzs5asmSJRo4cqRkzZig0NFRFixZVly5d9NFHH8nb21tXrlzRW2+9JXd3d40fP16SFBERoXbt2mndunVJ6vv000+1aNEiNW7cOBOfQN6Xmb+DrMjDfgOQn+X0dZZ9+/bpySefVHx8vLy8vDRz5kz5+PikWIbrLHcmrvFx7AGADIB84dixY0ZSpl6VKlVK07qGDRtmK3Ps2LEU8+7atcuW980330wx78KFC215Fy5cmNZNN8YYc+XKFVOsWDHj5uZmDh48aIwx5vLlyyYgIMBIMu+//765ePGi2bdvn3nwwQeNJPPcc8+lax1In5zY9+z3O09wcLDtWJgyZUqq+QsWLGgkmQcffDDFfBEREbZ633jjjXTH9eijjyaLqUWLFkaSadu2rTl69KgJDQ01/fr1M5LMPffcY+Li4tK9HgBps2jRItvf9GeffWZbHh4eblvetWvXFOvYvXu3Le/YsWPTtf6bN2+ae++910gywcHBxhhjYmNjTdWqVY0k069fPxMaGmqOHTtm2rRpYySZ1q1bp3s787q6desaScbT09NcvXo1U3XFxMSYUqVKGUmmatWqGarjueeeM5LMsGHDbMueffZZI8nUqVPH7N2711y8eNG89957RpIpWrRopuPOKbnx+/jAAw8YSaZw4cKprq9QoUJGkunSpUuqeW93J+83APlbTl5nOXLkiClZsqSRZNzc3Mzy5csd5uU6y52Pa3wce8j7YmNjzf79+5O8YmNjczssZJG8sH8ZDwBApgQEBNjeX7hwIcW858+ft70vXLhwutYzdOhQnT9/Xu+++66qVq0q6dZddmFhYWrQoIE++eQTBQQEqHr16vr1119lsVgUFBRkm8cOWS8n9j37HdbjLDu/X2bOnKkVK1aocePG6tu3r6RbT8f99ddf8vb21vTp01WhQgWVLFlSP/zwg0qXLq0DBw5o+fLl6dsYAGnWpk0b21Bq27dvty338fGxDR+cnd8L33zzjfbu3avevXuradOmkqTly5fr0KFDKlu2rH744QeVLFlS5cuX1/Tp0+Xl5aU///xT+/btS9d68rJ9+/Zpy5YtkqQuXbrIz88vU/W5u7urTZs2kqRDhw4pOjo6XeU3btyoH3/8UZUrV9bQoUMl3ZrPdurUqbJYLJo2bZpq1KihgIAAjRw5Ug8//LAuXLigadOmZSruvCorfh+tdVy5ckWxsbEO67h586atbZXevyX2GwBIp06dUosWLXTmzBm5urpq9uzZevTRRx3m5zoLcgvHHgDkHDpngXyifPnyMsZk6nX48OEsj6tkyZK2uRdTG5Ll6NGjtvcpzVl2u82bN+uHH35QYGCg3nvvPdty6zBo7dq1S5L/nnvuUYUKFXTz5k1t3bo1zetB+mT3vme/Q5KqVasmSTpz5oxiYmIc5svo90tERIRef/11ubq6asKECbbl1uOsfv36trlvJMnFxUWtW7eWJK1fvz7N6wGQPi4uLipUqJAk6erVq7blTk5OtjmqsqvdceLECY0YMUIFCxbU119/bVtu/V5o3bq1XFz+b3aYQoUKqV69epLurO+FKVOm2N6nNqRxWhUrVsz2PvF+TU1cXJwGDRokY4zGjx9v66DfsmWLYmNjValSJduFPav27dtLurP2SWJZ8ftorSMhIUHHjx93WMfx48dljLFbR0rYbwDyupy4znL27Fk1b95cx48fl7Ozs2bMmKHHH388xTJcZ7nzcY2PYw/I7ywWS6ov6wMQiW3fvl29e/dWuXLl5O7urgIFCigwMFAdOnTQV199lWQKoTsdc84CyLQHH3xQwcHB2r59u27cuGG78HI760WWihUrJunsSEl8fLyef/55JSQkaNy4cbanaCQpLCxMUtI7+6yKFi2qo0eP6uLFi+ndHKRDdu179jus6tSpo0WLFik+Pl6bN292OAdd4ou4Dz74YJrrf//993X27FkNHTo0yRyyqR1nkjjOgGx08+ZNXbp0SZKS/W7UqVNHe/bs0ZkzZ3Ty5EmVLVvWbh3W7wUvL690XTB65ZVXFB0drW+//VZFihSxLb+bvhfi4uJsTy6WK1dOzZs3z5J6E59op7UtKEljxozRrl271LNnT7Vs2dK2/G7aJ7fLit/HOnXq2N5v2LBBlStXTrWOxGVSw34DcLc7f/68mjdvrsOHD8vJyUm//vqrnnjiiTSV5ToLcgvHHpAxdX65L7dDSNXWPnuyvE7rPNL2NGzYMMn/p0yZooEDByo+Pl7ly5fXo48+Km9vbx09elQrVqzQ4sWLVbp0aT355JNZHmdexJOzADKtU6dOkqSYmBj98ccfdvOEhoZq7dq1SfKnxdixY7Vz5049+eSTtqfVrDw9PSXZH2rFOryKNQ+yR3bte/Y7rBIfM7/99pvDfLNmzZIk1a5d22FHze22bdum8ePHq0KFCvrwww+TpHGcAblr6dKlunHjhqRbf9eJpeV74fr161q4cKGkpEMkp2b+/PlatGiR6tevr4EDByZJu5u+F5YtW2bbpj59+shisWS6zuvXr2vZsmWSbj2xmdbP6tSpUxo+fLj8/f317bffJkm7m/bJ7bLi9/Gxxx6zPQWeUh0zZ86UJBUpUkQNGjRIU3zsNwB3u0uXLqlly5Y6ePCgnJycNGXKFPXs2TPN5bnOgtzCsQcgPYKCghy+BgwYYMsXGhqqF198UfHx8Ro/fryOHDmihQsX6rffftOmTZt0/vx5TZw4UaVKlcrFrclZdM4CyLTevXvL399fkvS///3P7hxi7777ruLj4+Xi4qJBgwalqd7Q0FD973//k5+fX7KLOpJUo0YNSdKiRYuSLN+7d6+OHTuWJA+yR3bse/Y7EqtZs6btaaApU6bYnc/xp59+0oEDByRJL7/8cprqTUhISHLH7u0nedZjaMOGDbY7eCUpNjZWK1asSJIHQPqcOnUqxfSTJ09q8ODBkiQ3Nzf16NEjSXrbtm1VqVIlSdJXX32VZL4rq5EjR9rmpErr90JUVJQGDx4sFxcXTZo0KVmHpPVvfvny5Unm5wwLC9OGDRuS5MnvrEMaOxqK6nahoaEppickJOjll1/WuXPnJN1qP6TVq6++qqioKH366adJhkWW/u/zPnr0aLLfB2s74U7ZJ7fLit/HQoUK6amnnpIkrVixQqtWrUqWZ+XKlbY51l944QU5OzunKT72G4C7WXh4uFq3bq29e/fKYrHohx9+0DPPPJOuOrjOgtzCsQcgOyxdulQxMTF65JFH9MILL8jJKWnXZMGCBfX888+rUaNGuRRhzqNzFoB27NihjRs32l6nT59OU5pVwYIFNXLkSEnSf//9p6ZNmyo4OFhhYWHavXu3nn76aU2fPl2S9MYbbzgcMu121os6I0eOVPHixZOl9+zZUxaLRVu2bNFrr72m48ePa8uWLbaLTHXq1LHNS4fskR37nv1+Zzly5EiS75D9+/enKS2xb7/9Vh4eHrpx44ZatGihGTNm6Ny5czp27JhGjhypF154QZJUr169FIdTSWzcuHHatm2bnnjiCbVt2zZZerNmzVS8eHFdv35d3bp10549exQSEqJnnnlGZ86ckaenp7p06ZKBTwTAAw88oE6dOmnKlCnavXu3Ll68qCtXrmj37t36/PPP9cADD+jkyZOSbl0QKl++fJLyrq6uGj16tCwWi8LCwtSoUSMtWrRIFy5c0KFDh/T666/bfpu6d++uZs2apSmuYcOG6dSpU3rttdd0333Jh6Tq3LmzPDw8dObMGfXu3Vv//fef9u3bpx49eigmJkYlS5ZM87rysrCwMC1evFiS1LRpU1WoUCHVMl9++aXuvfdejRw5UmvWrFFoaKjCw8N18uRJzZo1S4888oh+/vlnSbc6FV977bU0xbJ48WL98ccfeuihh/T8888nS69atartyeqePXtq06ZNOnHihN544w1t3bpVFovF1j7Ia/LK7+Mnn3yiwoULyxijzp07a8KECTp9+rROnz6t8ePH237rKlWqpLfeeitN23Yn7zcASM21a9fUtm1bbd++XZI0atQo9ejRQ1FRUQ5f8fHxyerhOgsyimt8APIi67DkiacOuusZAHe9cuXKGUlpeg0bNsxhPUOGDDEWi8Vh2d69e5v4+Pg0xbRkyRIjydStWzfFMu+8847ddfn4+Jht27al96NABmXVvme/33n69OmT5u+XJk2aOKxn3rx5xtvb22HZWrVqmfPnz6cppjNnzpgCBQoYX19fExoa6jDfwoULjYuLi931TZo0Kb0fBYD/z8/PL9XvA1dXV/PJJ5+kWM+4ceOMq6urwzpatmxprl27lqaYdu3aZVxcXEzZsmVNVFRUiuu0ty4XFxezZMmSdH0OedXo0aNt2zV16tQ0lRk8eHCavuebNWtmzp49m6Y6r127ZsqVK2ecnZ3Njh07HObbvHmzw9+H9957L03ryg156fdx3bp1JiAgwGEdFSpUMIcOHUrTdt3p+w0AUhMcHJzm73frKzg42GF9XGdBenGND8gasbGxZv/+/UlesbGxDvM/GHRvnn9lJevfZ1pNnTrVSDK+vr7m4MGDWRpLRqR3/2YHnpwFkGU+++wzBQcHq1u3bipVqpTc3NxUrFgxtW/fXn/88YemTp2abMgCe65fv66XX35Zzs7OmjhxYoplRo0apR9//FG1atWSu7u7/P391bFjR23YsCHZHHXIPlmx79nvSEnnzp21e/duvfzyywoMDJSHh4cKFiyoevXqacyYMdq8ebOKFi2aprpee+01RURE6OOPP1bJkiUd5uvQoYP++usvtWjRQj4+PvL09FT9+vW1YMECPffcc1m1acBdZ8qUKXrjjTfUsGFDlS9fXr6+vnJ1dVVAQIAaNGig9957T4cOHdL777+fYj0vvviiNm/erL59+6pcuXJyd3dXQECAmjVrpqCgIP3555/y8vJKNR5jjAYNGqS4uDiNHTtW3t7eKa5z/vz5ql+/vry8vOTj46MWLVooODhY7dq1S/dnkRdZhzT29fVV165d01Tmueee02effaaOHTuqatWqCggIkIuLi3x9fVWtWjU988wzWr58uf766y+7T0rY89FHH+nEiRN65ZVXVKtWLYf56tatq/Xr16tjx47y9/eXu7u7atWqpcmTJ9ue+riTZcXvY4MGDbR3714NGTJE1atXl7e3t3x9fVWrVi198skn2rVrV5qfVGG/AUDW4joLcgvHHoCs9Pjjj6to0aKKjIzU/fffr+7du2v8+PHauHGjbt68mdvh5QqLMcbkdhAAAAAAAAAAAABAbouLi1NISEiSZZUrV5aLi4vd/HV+ST41Tl6ztc+eLKvLYrGkmmf+/Pnq1KmT7f87d+5Ur169kk3b4uXlpU6dOmn48OFpHio9s9K7f7NDzq0JAAAAAAAAAAAAQL7Xp08fh2lly5ZN8v9atWppz549WrVqlZYtW6aNGzdq586dio6O1owZM7RgwQItW7ZMjRo1yu6w8wSenAUAAAAAAAAAAADEk7OpsT45m9nuxejoaC1YsEDvvPOOTp8+rcqVK+u///7LihBTlBeenGXOWQAAAAAAAAAAAAA5xsvLSz179tSSJUskSSEhITnSOZsX0DkLAAAAAAAAAAAAIMfVrFlThQsXliSFhYXlcjQ5g85ZAAAAAAAAAAAAAFkuteGPL1++rMuXL0uSSpUqlRMh5To6ZwEAAAAAAAAAAABkuQkTJui5557T7t27k6VdvnxZffv2lTFGderUUbly5XIhwpyXc7PbAgAAAAAAAAAAAMj3+vbt6zCtbNmyGjFihCTp5s2b+vHHH/Xjjz+qXLlyqlmzpnx8fHTu3Dlt3rxZ165dU5EiRfTzzz/nUOS5z2JSe54YAAAAAAAAAAAAuAvExcUpJCQkybLKlSvLxYXnHSXJYrGkmuf+++/Xzp07JUkRERFauXKlVqxYoa1btyo0NFSXL1+Wt7e3qlSporZt2+qVV15RQEBANkd+S17Yv3TOAgAAAAAAAAAAAMobnXfIPnlh/zLnLAAAAAAAAAAAAADkADpnAQAAAAAAAAAAACAH0DkLAAAAAAAAAAAAADmAzlkAAAAAAAAAAAAAyAF0zgIAAAAAAAAAAABADqBzFgAAAAAAAAAAAAByAJ2zAAAAAAAAAAAAAJAD6JwFAAAAAAAAAAAAgBxA5ywAAAAAAAAAAAAA5AA6ZwEAAAAAAAAAAAAgB9A5CwAAAAAAAAAAAAA5gM5ZAAAAAAAAAAAAAMgBdM4Cd6GgoCBZLBa7L19fX1WpUkW9evXSsmXLcjvULGXdxuHDhydLGz58uC39btC3b19ZLBY1bdo0t0NBBjVt2pR9CACwy1Fbz8nJSQUKFFD16tU1YMAAbdq0KVfjtLZHypcvn6txAACQneLi4uTr6yuLxaJWrVqlmHfTpk22320XFxdFRESkmL9EiRKyWCyqVatWFkacNonbG8ePH8/x9eeVGAAAyAg6ZwEkERUVpZCQEM2YMUPt2rVT165ddfPmzWxZ1+rVq22N6NWrV2fLOoD8hBNLAEB2MsYoMjJSBw4c0OTJk1WvXj299tpruR0WAAB3NBcXFzVo0ECStGHDBsXFxTnMu2bNGtv7+Ph4rVu3zmHe//77T+fOnZMkbtoFAOSo2x9ycvQgmKMXN+hKLrkdAIDctXTpUjVq1EiSlJCQoOPHj+uvv/7SRx99pPDwcM2bN09DhgzRN998k8uRAgAAIL0St/WMMbpw4YKWLFmiDz/8UBERERozZozKli2rN954I5cjBQDgztWkSRP9+eefunbtmrZu3ap69erZzWftnPXw8FBMTIzWrFmjtm3bpphXonMWAHJb3I8/5HYIqXIZ+Fy21d2nT59ky9auXasjR47o/vvvTzbCQ0BAQLbFkl/QOQvc5Tw9PeXj42P7f82aNVWzZk3Vr19fDRo0kDFG48eP14gRI5Lky4+MMbkdApBleNocAJAWt7f1fH199eqrr+rhhx9WgwYNlJCQoJEjR+rVV1+ViwunhwAAZIfEnadr1qyx2zmbkJCgtWvXSpL69++v8ePHJ+mAvZ01zWKxqHHjxlkbMAAA6RAUFJRsWd++fXXkyBF16tTJ7jSDdzuGNQZgV7169dSiRQtJ0o0bN7R58+ZcjggAAABZ5eGHH7a19S5fvqxt27blckQAANy56tatKy8vL0ly2OG6c+dORUREyNPT0zaixdatW3Xt2jW7+f/55x9J0n333adChQplQ9QAACC70DkLwKF77rnH9v7ChQsO850+fVpDhgxR7dq1VbBgQbm7u6tMmTJ68sknbScLt7NYLGrWrJnt/82aNUs29nziJwMTEhK0bt06vffee6pfv74CAgLk6uoqf39/1a5dW0OGDNGZM2dS3B5rvdl1p87Bgwf19ddfq3Xr1ipVqpTc3Nzk7e2tKlWqqH///qle9GzatKksFovtjtoDBw6of//+KleunNzd3VW0aFF17NhR69evTzWW48eP6/nnn1f58uXl7u6uEiVKqEOHDlq5cmVWbKr69u2bZH6AQ4cOadCgQapUqZI8PT1lsVh09erVJGUycpzcbseOHXrhhRdUo0YN+fn5ycvLS4GBgWrTpo0mTpyosLCwJPlvn8M1PDxcw4YN0/333y8/Pz9ZLBb98ccfScpER0dr9OjRatasmYoWLSo3NzcVKVJErVu31i+//KL4+HiH8V29elUzZ87UM888o3vuuUfe3t5yc3NT8eLF1bZtWwUFBdmdX+j48eOyWCzq16+fbVmFChWS/U0knof29uPFnvj4eP3yyy9q06aNihUrZtuWpk2b6rvvvtONGzcclr19H58+fVqvvvqqAgMD5eHhoUKFCqlVq1ZasmSJwzoAAHlb4qGlTp48KenWb+3HH3+spk2bqlixYnJ1dVWBAgVUo0YNvfLKKwoJCUmxzvLly8tisahv376SpJUrV6pLly4qXbq0XF1dkw1nlZqxY8fK2dlZFotFTzzxhGJiYpKkz5kzR48//rhKly4td3d3+fj4qEKFCmrYsKHef/99Op0BAHmCq6urbd7ZdevW2T2vtHba1q9fX5UqVVK5cuUUFxdn9xrAsWPHdOrUKUm3hkxOLCvPA9Nyrp+Sf//9V4UKFZLFYlGNGjVs7Q176zp48KCeffZZlStXTh4eHipWrJi6deumTZs2pXl9t4uOjtaiRYv0/PPPq2bNmipQoIBcXV1VpEgRNWvWTGPHjlV0dHSa6krv9YjEVq5cqV69eql8+fLy9PSUr6+vatasqSFDhuj8+fMprnfLli3q16+fKleuLC8vL3l4eKh06dKqXbu2XnzxRS1cuDBdnwkAIG9g3CoADiUeBrhgwYJ28/z888966aWXkl0oO336tGbOnKmZM2fq1Vdf1ejRo5NMEp5eU6ZM0YABA5ItDw8P144dO7Rjxw5NnDhR8+bNU/PmzTO8now6cuRIks5sq9jYWIWEhCgkJES//PKLRo0apbfeeivV+ubOnavevXvr+vXrtmUXL17UwoULtWTJEk2fPl09evSwW/bPP/9U586dk5xgnDt3TosXL9bixYv10UcfZWALHVu0aJGefPLJFE9oMnucxMbG6rXXXtP48eOTpR05ckRHjhzRihUrdO7cOYed70ePHlX//v114sQJh3Fu3rxZXbp0UWhoaJLlYWFhWrlypVauXKmff/5Zf/zxh92/iQ4dOtiGoUrs/PnzWr58uZYvX67Jkydr8eLF8vPzcxhHVrh48aIef/xxbdy4McnysLAwrVmzRmvWrNH333+vpUuXqlKlSinWtXbtWnXs2FGXL1+2Lbtx44ZWrVqlVatW6csvv0zTcQ0AyFsS/+YaY/TXX3+pZcuWyfJFRkZq//792r9/v3788Uf9/PPPeuqpp1Kt/8MPP9Qnn3ySodiMMXr33Xf15ZdfSpJeeeUVjR49Wk5Ot+4vTkhIUI8ePTRnzpwk5W7evKlr167p+PHjWrdunfbt25fsRiwAAHJDkyZNtGrVKkVERGjHjh2qU6dOknRr56x1iOJGjRrpxIkTWrNmjVq1amU3r5R0yOSsPA9My7l+SubOnaunn35aMTExatiwoRYuXOjw2tKyZcv0xBNPJFnXhQsXNGfOHM2bN0/ffPONBg8enO4Ynn/+eU2bNi3Z8rCwMK1evVqrV6/WpEmTtHz5cpUpU8ZuHZm5HhEVFaVnnnlG8+fPT1Z2z5492rNnjyZOnKi5c+faRjRJbMyYMXr99deTTdMVGhqq0NBQ7dixQzNmzEhXhzkAIG/gyVkADh04cEDSrQt31atXT5Y+depUPfvss4qJiVHLli21cOFChYaG6tKlS9q4caN69eol6dYTDyNHjkxSNjIyUkuXLrX9f+nSpYqMjEzyatSokS3d3d1dTzzxhCZPnqx169bp6NGjCgsL0969ezVx4kRVqVJF4eHh6tatW6p3HWaXRo0a6auvvlJwcLAOHjyoS5cuKSQkRPPnz1fz5s2VkJCgt99+O9WnVw8fPqynn35aDzzwgJYuXarz58/rzJkzmjJlivz8/BQfH6/nnntOV65csVvW2jHr6+urb775RkePHtXFixe1atUqPfLIIxo2bFian1RNzZUrV9SrVy+VKVNGM2fOVGhoqM6ePauFCxfKw8NDUuaOE6tnn33WdiJUt25dzZw5UydOnNDly5d18OBBTZ06VR07dpSzs7PDWPv06aPw8HB98803CgkJUVhYmNatW6d7771XkrR//361aNFCoaGhqlKliiZPnqzDhw/rypUr2r9/v4YPHy53d3f9888/6tGjh905jEuVKqU33nhDCxYs0I4dO3Tu3DmFhoZqw4YNeu211+Tp6am1a9fqxRdfTFKuXLlyioyM1MSJE23L9u3bl+xvoly5cmnaL3FxcerQoYPthLx///7aunWrLl26pD179ujNN9+Us7Oz/vvvP7Vq1UoREREO6woPD1enTp1UokQJzZo1S6Ghobpw4YLmzp2r0qVLS5KGDh2q//77L02xAQDyjj179tjely5dWs7OzmrTpo2+//57/fvvvwoJCdGlS5d04MABTZs2TXXq1NGNGzfUr18/7du3L8W6V61apU8++URt2rRRcHCwLly4oOPHj+vTTz9NNa7Y2Fg9/fTT+vLLL2WxWDRq1CiNHTvW1jErSb/88outY7Zr164KDg7WqVOndOXKFR05ckQLFy7USy+9xDCPAIA8I/ETrrcPbWyMsd3oa+2ctf5rbxhk6zm9xWKx1ZuV54FpOddPyXfffafu3bsrJiZGXbp00cqVKx12zIaHh6tXr14qUqSIZsyYoTNnzujMmTOaPn26ypYtq4SEBL322msZGrWpcOHCGjRokGbPnq2tW7fq9OnTOnfunLZu3aoPP/xQBQsW1P79+9WzZ0+HdWT0ekRCQoI6d+6s+fPny93dXe+88462bt2qsLAwhYaGaubMmapatartnPvgwYNJyoeEhOjNN9+UMUa1atXSnDlzdOTIEV25ckWnT59WcHCwhg8frsDAwHR/LgCAPMAAuOtMmTLFSDKSTHBwsN0869evNxaLxUgyXbp0SZZ+4cIF4+3tbSSZl156yeG63nnnHSPJeHh4mLNnzyZJCw4OTjWOtIqMjDSVKlUykszw4cPt5rGua9iwYcnShg0bZkvPLj169DCSTNOmTe2mN2nSxBZDq1atzM2bN5PlmTt3ri3PpEmTkqV37tzZSDLOzs5m3bp1ydJv3LhhGjdubKujSZMmGdqWPn362OoIDAw0ly9ftpsvK46T+fPn29bVvXt3Exsb67Ce29MSH+tubm5m69atDsvWrVvXSDIPPfSQiYqKsptn6dKltvrmz5/vsC5HrOWdnJzM0aNHk6UnjvfYsWMp1mU9Xuztw/Hjx9vq+eCDD+yWnzRpki3PO++8kyw98T6+7777TGRkZLI827Zts+UZOnRoivECAHJOWtp6O3bsMM7OzkaS8fPzs9vuuF1sbKx55JFHjCTTt29fu3nKlStnW/cTTzxhEhISHNZn/a0pV66cbVl4eLhp0aKFkWRcXV3NtGnT7Jbt0qWLkWQeeOCBFNcBAEBecePGDePp6WkkmQ4dOiRJ2717t+28NTo62hhjzIEDB5Its6pYsaKRZO69917bsqw+D0zpXN8Y++evCQkJtvN7Sebll1828fHxdssnXlexYsVMaGhosjynTp0yRYoUMZJMxYoVk9WVnnNoe3bv3m1rD61evTpZemauR4wbN862/9auXWu3zNWrV03lypWNJNOxY8ckaWPHjrVd3wkLC0v3tgHInNjYWLN///4krxS/A36YlOdfWSkt19Gt3/P2rsXntvTu3+zAk7PAXe769euKiopSVFSUIiIitGfPHo0ePVpt27a13Z33ww8/JCs3ceJEXbt2TQEBAfr6668d1j9s2DB5e3srJiZGs2fPzrbt8PHxUZcuXSTdGtY3L3rmmWck3RoiNvFwxfaMHTtWrq6uyZZ36tRJ/v7+kpRs3hXrsMeS9PTTT9vms0nMzc1NY8eOzUj4Dn388ccO74DNiuPEWq5w4cKaPHmyXFwcj8ifUlq/fv304IMP2k37999/tWXLFknS+PHj5e3tbTdf27ZtbUNG/frrrw7X5Ujbtm1VpEgRJSQkaNWqVekun1aTJk2SJJUtW1bDhg2zm+e5555TvXr1JEk//fSTEhISHNb35ZdfysfHJ9ny2rVrq2bNmpKSH48AgLzHGKMLFy7o559/VqtWrWzz3b3zzjt22x23c3FxsQ1nnFp7y9nZWd9++226prU4e/asGjdurL/++ku+vr5aunSpbYSN21nncC9ZsmSmps4AACCnuLm52c7B/v333yTnYNanY+vUqSNPT09JUrVq1VS0aFHdvHkzyTDFp0+f1tGjRyUlHdI4q88DUzrXtyc2Nla9e/fWF198IYvFos8++0zfffddkpEvHPnggw9UsmTJZMtLly6t999/X9KtqYr+/vvvNMeTFvfdd59q164tyX7bJjPXI7755htJtz7zRx55xG4ZPz8/2/YtWrRI4eHhtjRrW8fLyytd+wEAkD/QOQvc5dq1aydfX1/5+vrKz89PNWvW1Ouvv67w8HD973//06ZNm1S4cOFk5ayN1saNGys2NtbWwXv7KyEhQdWqVZN0az7PzIiJidHEiRPVtm1blS5dWp6enrJYLLaXdU6yQ4cOZWo9mbFo0SL17NlTlStXlo+PT5L42rdvL+lWA/vIkSMO66hQoYLtM7udk5OTKleuLOnWPLKJbdiwwXaRtWvXrg7rv//++211ZJbFYlG7du0cpmf2OImKirKdhHbr1s1uB2FaPfbYY6nGWaRIEVWtWtVhnFFRUapVq1ayOBMLCQnRO++8o4cffliFChWSi4tLkuPg4sWLkrLvOL169ap2794tSercuXOKJ4/WoZsuX76svXv32s3j7u6e4jzOVatWlZT8eAQA5A3NmjWz/QY5OTmpWLFievbZZxUWFibp1pCHQ4YMseWPj4/X9OnT1blzZ5UvX17e3t5JfsdeeuklSdKZM2cUFRXlcL21atWyDX+fFgcPHlT9+vW1a9culShRQv/884/d+W+trBdSly1bpm+++UaRkZFpXhcAALnF2pma+LxN+r9hihMPfSxJDRs2lJR0aOPE0xRZ82f1eWBq5/q3i4iIULt27TR9+nS5urpq6tSpSdoXqUnpGka3bt1s7//9998012l15swZffTRR2rYsKGKFCkiNze3JG0b643at5+jZ+Z6hHUuWklq3rx5itcYatSoIenWMMhbt2611WFt60RGRqp///46depUurcdAJB3Of6lBnDX++KLL1SvXj21bds2WZp1Lox58+Zp3rx5aarP2imVEYcPH1abNm1S7NS0unr1aobXk1HR0dF64okntGzZsjTlTylGe3eLJubl5WVbZ2LHjh2zvbc3R3Bi1atXV0hISCpRpi4gIEAFChRwmJ7Z4+TYsWO2u0UfeOCBTEQqVaxY0WGaNc6LFy/K19c3TfXZO55/+OEHvfLKK7p582aq5bPrOD1x4oRtPlzrfLqO3Hfffbb3x48ftz0Fm1hAQECKT1M5Oh4BAHmTk5OTSpUqpQYNGmjAgAFJOkAvXryodu3aJbkwmJKrV686vFCZ0u/u7S5fvqxHHnlEly9fVrVq1bR8+fJU51l//fXX9csvv+jYsWN68803NXToUD300EN65JFH1KhRIzVr1sz2GwUAQF5x+7yz1pt/rR2u1nlmrRo3bqx58+Yl6Zy1vk8832x2nAemdK5/u8cff1wnTpyQr6+v5s6dq1atWqW5rL+/v0qUKOEwvWTJkvLz81N4eHiS6x5psWjRIvXq1StNN3Hdfo6emesRieePtY7ylhaJrzM0adJEXbt21dy5c/XLL79o6tSpuvfee21tnZYtW6po0aLpigsAkHfw5CxwlwsODpYxRsYYRUdHa8+ePRo8eLAsFotiYmLUvXt3ux2iGelYiomJyVCM8fHx6tKli44cOSIXFxe9+uqrWrlypY4dO6ZLly4pMjJSkZGRtrsyrU+P5qS33nrL1jHboUMHzZ07VwcPHlRYWJgtviVLltjyWxv49qR0h2ti1hMvq8QnG6nd0ZmZJ1ATS+2iZ2aPk4iICNv79JwY2pNSrBmJ88aNG0n+v2nTJg0aNEg3b95U+fLlNXbsWG3dulVnz55VeHi47TiwPkWU0jGQGYmPg9Q6mhOnOzpZzejxCADIG5YuXWr7DYqKilJcXJxOnjyp33//PdmTqX369LF1zPbp00eLFy/W4cOHk7Rnxo8fb8uf0m9ZejpGY2Njbb9Dnp6eaWqnFChQQJs3b9brr7+ugIAA3bx5U2vXrtWoUaP02GOPqWjRonrttdd4ohYAkKc8/PDDcnd3l/R/nawHDx7U+fPn5ezsnGz420aNGkmSNm7caDsHtZarXr26ihQpIinrzwPTe4PTlStXJN06f0zvELxp+d235knP7/qJEyfUo0cPRUZGqkiRIvrss8+0YcMGhYaG6urVq7a2jfUzv71dk5nrERm9Gfv262a///67Ro8erapVq8oYoz179mjixInq1auXSpYsqU6dOunw4cMZWhcAIHfx5CwAG09PT917770aPXq0SpcurbfffltRUVF68cUXtWLFiiR5fX19deXKFfXv31+TJ0/O1rjWrFmjPXv2SJK+++47DRo0yG6+3HpyLzo6WlOmTJEk9ejRQ7///rvdfLd35mW1xCdYUVFRKlasmMO8KQ1DmJUye5wkPgFKfGKU1ayfXcWKFdP0dLY948aNkzFGBQoU0MaNGx1+/tm5HVLaTrTtpaf1iWEAQP6S1s7Oo0eP2m40e/fdd/X555/bzZfRm+1SUqxYMX333Xfq1q2bduzYoWbNmmnVqlWpPg0SEBCgb775Rl999ZX27t2rjRs36p9//tHSpUt15coVjRkzRhs2bND69evl7Oyc5XEDAJBeHh4eqlevntasWaN//vlHxhhbZ2utWrWSnZfVqlVLBQoUUEREhDZv3qwqVarYht9N/BRubp8Hzp071zb0bsuWLbV8+XLb3LapScv1CWue9MQ7efJkXb9+XU5OTgoODrYNH3w7R59XZq5HJI7zn3/+sXWyp5eLi4sGDx6swYMH68SJE9qwYYPWrVunpUuX6ujRo1qwYIH+/fdfbd++PdVRRwAAeQtPzgKw680331T9+vUl3ZqP86+//kqSXqlSJUnKkTv0du7caXtvnRvFHmsHbk47ePCg7UJlbsZXoUIF2/v9+/enmDe19KyS2eOkfPnytic3Ex8HWc0aZ2hoaIYvOlvja968ucOO2ZMnT2Z752y5cuVksVgkSfv27Usxb+L5hcqXL5+dYQEA8rjcbm916NBBf/zxhzw8PLRnzx41bdpUZ8+eTVNZJycn1axZU88995ymTZumM2fO6JlnnpF0a474xYsXZ0vMAABkhLVT9dKlS9q3b5/DIY2lW79xDRo0kCRbh66Vdf5aKffPAwMDA/XPP/+ofPnyCg8PV+vWrdM8P+zVq1dT/M0/c+aMwsPDJSW97pEaa9umZs2aDjtmb968qf/++89uWmauR1ivMUhZd92sXLlyevLJJ/Xdd9/p8OHDttFMLl++rNGjR2fJOgAAOYfOWQB2WSwWffXVV7b/Dxs2LEn6o48+KknasGGDTpw4kaF1JJ7HMqWhiBM/ceoo38mTJ5OcpOSktMQXHx+vGTNmZGsc9evXtz0VMnfuXIf5du/enSXzzaZFZo8TX19f2922s2bN0rVr17I0PitrnDdu3Ejz3Li3sx4HKR3Lv/76a4p1pPVvIiX+/v62OYPmz5+f4pCTv/32mySpUKFCqc5LBAC4s6WlPRMVFaU//vgj22Jo06aNFi9eLC8vLx04cEBNmjTR6dOn012Ph4eHhg8fbvv/gQMHsjBKAAAyJ3Gn6po1a2xPziZ+EjYxa6dt4ry3588L54Hly5fXP//8o8DAQEVGRqpNmzb6+++/01Q2pWsYs2fPtr1PzxOoaTlHnz17tsMbtDNzPaJGjRq2KY2sn3dWslgseuGFF1S2bFlJtHUAID+icxaAQw0aNNBjjz0mSVq3bp1WrlxpS3vppZfk6emp2NhYPfPMM6kOQ3PmzJlkTwwGBAQkSXekYsWKtvcLFixIlh4bG6sBAwbkylyzUtI7N+3FJ0kff/yxbeih7FKkSBE9/vjjkqRp06Zp/fr1yfLcvHlTr7zySrbGkVhWHCdvvPGGpFt3FQ8cODDF/ZzReVxbtGihBx54wLa+1Dqvo6OjdfLkySTLrMfpunXrdOnSpWRl9u7d63CISKu0/k2kxjr094kTJzRy5Ei7eSZPnqwNGzZIkgYOHCgnJ5oEAHA3S629ZYzRq6++aptTLru0aNFCy5Ytk4+Pj0JCQtS4cWO7N3ildhEy8W954cKFszxOAAAyql69enJzc5MkTZkyRaGhobJYLA47Hq3LN2zYYBvV7J577kk2/H9eOA8sU6aM1qxZo2rVqik6OlqPPfZYsmmy7Pnkk0/sngOfPn3ati0VK1ZU8+bN0xyLtW1z4MABu0/HhoaG6t13302xjsxcj3jrrbckSStXrtR3332XarwHDx5M8v///vsvxfWFh4frwoULkmjrAEC+ZADcdaZMmWIkGUkmODg4xby7du0yFovFSDKPPPJIkrSgoCBbPRUrVjTjxo0z+/fvN5cvXzbnz583O3bsMD/99JPp1KmTcXV1NXv27ElSPi4uzhQsWNBIMg8//LDZt2+fiYmJMbGxsSY2NtYkJCQYY4y5evWq8fPzM5KMr6+vGTNmjDl8+LC5cOGCWbZsmalfv76RZGrUqGGLxx5r2rBhw5KlDRs2LMWyqWnatKmt/Kuvvmr27NljwsLCzObNm02fPn2SxWfvc2/SpImRZJo0aZLiulLKFxISYry8vIwkU6BAAfPtt9+aY8eOmbCwMLNq1SrTsGFDI8lUqFAhTetyxLpN5cqVSzVvZo8TY4zp2bOnrY569eqZ2bNnm5MnT5orV66YkJAQM2PGDNOlSxfz8ccfJymX+Fg/duxYinHu2bPH+Pr62j67Dz74wGzevNlcvHjRXLp0yRw8eNDMnj3bDBw40BQsWNB89913DrfzwQcfNH/++ac5f/68OXr0qBk9erQpWLCgKV68uClUqJCRZPr06ZMshgsXLhhnZ2cjyXTo0MEcOXLE3Lhxw/Y3kVhKx0FsbKx5+OGHbfEMHDjQbN++3Vy+fNns27fPvP3227b1VKhQwYSHhyerI637OD3HAgAgZ6SnrWcVFxdnKlWqZCQZV1dXM3z4cHPw4EETFhZm1qxZY9q3b5+sPWPvt7VcuXIOf+dul9JvyPr1602BAgWMJFO2bFlz+PDhJOnly5c3derUMaNGjTL//vuvOXPmjLl8+bI5ePCg+f77701AQICRZHx8fMzZs2fT9BkAAJBTrOfm1te9997rMO+NGzeMh4dHkvwvvPBCsnw5eR5oTMrn2+fOnTP33nuvkWTc3d3NokWLHK7L39/fFCxY0JQvX9789ttv5uzZs+bs2bNmxowZtnaFJLN48eJ0xbB69WpbWmBgoJk3b545c+aMOXXqlJkyZYopXbq08fb2tq3D0fWRjF6PiI2NNa1atbKV7dixo1m0aJE5deqUuXr1qjl58qT5+++/zYgRI0zNmjXNgw8+mOzzKVeunHn77bfNsmXLzPHjx82VK1fMsWPHzJw5c0ytWrVS/GwAZE5sbKzZv39/ktft1+aQf+WF/UvnLHAXSu8Fu8QN0ZUrVyZJmz59uvHx8UlykmDvZbFYzMGDB5PVPWLECIdlEsc2a9Ys4+Li4jDvkCFDUu1gzc7O2YMHD5oiRYo4jK9Zs2Zm6dKl2d45a4wxy5cvt3XQ2nsNHz7cdhKUE52zxmT+OLlx44YZMGBAquVv37fp6Zw1xpjt27fbLkyn9po0aVKSsvHx8aZTp04O8xcqVMisX78+1YvW/fv3d1hH4m1I7Ti4cOGCqVevXorbUKVKlWQXu63onAWA/CsjnbPGGPPvv/+m2IZ46qmnzM8//5zib2tWdc4aY8zmzZttN/KVLFkySRsh8cVaRy9vb28uVgIA8qQPPvggyW/Wiy++mGL+xo0bJ8n/+++/282XU+eBxqR+vn3x4kVbB6Krq6uZO3euw3UtWbLEeHp62o3XycnJjB49OkMxvPrqqw4/B09PTzN//vxUz60zej3CGGOuXbtmnn766TRdY6hfv77dzye1ayj/+9//7MYNIHPyQucdsk9e2L+MYQggVSNGjJCLi4sk6aOPPkqS9tRTT+n48eP69NNP1bhxYxUpUkQuLi7y9PRUhQoV9Nhjj+mrr77S0aNHVbVq1WR1f/DBB5o8ebIaN26sQoUK2eZMvV23bt20du1aderUSYULF5arq6tKliypjh07avny5frss8+yfsPToWrVqtq+fbsGDRqksmXLytXVVQEBAWrYsKEmTJigVatWydPTM0diefTRR7Vv3z4NHDhQZcuWlZubm4oWLap27dpp2bJlyeYPzgmZPU7c3Nz0448/auPGjerfv78CAwPl5eUlb29vBQYGqm3btvrhhx/06quvZirOBx54QPv379eUKVP0+OOPq1SpUnJ3d5ebm5tKlCihJk2a6L333tOmTZv03HPPJSnr5OSkOXPm6LvvvtODDz4oT09PeXl5qUqVKnrttde0a9cu1a9fP9UYJk6cqK+++koPPfSQ/Pz8MjzMVJEiRbR27VoFBQWpdevWKlq0qFxdXVW4cGE1btxYY8aM0e7du1WpUqUM1Q8AuPM0bNhQW7duVa9evVS8eHG5urqqWLFiatWqlX777TdNnz5dFoslx+KpW7eu/v77bwUEBOjMmTNq0qSJ9u3bJ0lasWKFvv/+e3Xt2lU1atRQ4cKF5ezsLH9/fz300EN6//339d9//6l9+/Y5Fi8AAGl1+/yy1nllHbk93dH8tHnpPDAgIEB///236tatq9jYWPXo0UO///673bzt2rXTli1b1KdPH5UpU8Z2HaNr165av369Bg8enKEYxowZo+nTp6thw4by8fGRh4eHKlSooIEDB2rbtm3q1KlTqnVk5nqEl5eXfv31V23evFnPP/+8qlevrgIFCsjZ2Vl+fn66//771b9/f82cOdM2ZLXVqFGjNH36dD377LOqXbu2SpQoIVdXV3l7e6t69ep67rnntGXLlmTX6QAA+YPFGGNyOwgAAAAAAAAAwN2hb9+++uWXX1SuXDkdP348t8MBgCTi4uIUEhKSZFnlypVtDzAhf8sL+5cnZwEAAAAAAAAAAAAgB9A5CwAAAAAAAAAAAAA5gM5ZAAAAAAAAAAAAAMgBdM4CAAAAAAAAAAAAQA6gcxYAAAAAAAAAAAAAcgCdswAAAAAAAACAHBMUFCRjjI4fP57boQAAkOPonIdN/akAAQAASURBVAUAAAAAAAAAAACAHEDnLAAAAAAAAAAAAADkADpnAQAAAAAAAAAAACAH0DkLwKG+ffvKYrGofPnyuR3KXefatWsaMWKEHnjgAfn6+spischisahTp065HVqus34Ww4cPz+1QcsXx48dtn0FQUFCydP5uAeQFfBflHtoQjtGGoA0BIO/juyj30IZwjDYEbQgAyGouuR0AACApY4zatGmjtWvX5nYoAAAgH6ENAQAAMoI2BAAAOYsnZwEgj/nrr79sJ0TPP/+8Dh8+rIiICEVGRur333/P5egAAEBeRRsCAABkBG0IAEB6BQcHq2vXripVqpTc3NxUsGBBVa1aVd26ddP333+v8PBwW96mTZvKYrFo9erVdusaO3asLBaLvLy8tGrVqhzagtzFk7MAkMfs2LHD9v7zzz+Xv79/7gWDfCcoKMjuMEMAgDsfbQhkBm0IALh70YZAZtCGAKTTpcrkdgipKh16KsvqGjFihIYNGyZJuueee/Twww/L1dVVhw4d0rx58zRnzhzVqVNH9erVS7Wu0aNH6/XXX5eXl5cWL16sZs2aZVmceRmdswCQx0RHR9vec0IEAADSijYEAADICNoQAIC02rZtm4YPHy5XV1fNmjUr2dzk586d07Rp09L0e/LNN9/ozTfflI+Pj5YsWaLGjRtnT9B5EMMaA3cJY4wWLFigJ598UhUqVJCXl5f8/PxUo0YNPfXUU5o7d65u3LiRYh2nT5/Wq6++qsDAQHl4eKhQoUJq1aqVlixZkmK5gwcP6uuvv1br1q1twxx4e3urSpUq6t+/v7Zt25ZieeuwB02bNpUkHThwQP3791e5cuXk7u6uokWLqmPHjlq/fn2qn8PRo0c1cOBAlStXTh4eHipZsqQ6duyo4OBgSVLfvn2TrMuRLVu2aMCAAapSpYp8fHzk7e2tatWq6eWXX9bRo0dTjSOl7Rw+fLhtmcViSfKyCgoKsi07fvy4wsPDNWzYMN1///3y8/OTxWLRH3/8kaT+I0eO6NVXX1X16tXl6+srLy8vBQYGasCAAdq5c6fDuI4fP25bV1BQkIwxmjJliho1aqTChQurQIECqlu3rn7++WcZY2zlzp8/r/fee0/33HOPvL29VahQIXXo0CHV/Z1ev//+u5o3b64iRYrI09NT1apV09ChQ3X16lWHZW7evKlVq1bptdde04MPPih/f3+5urqqUKFCql+/vj755BNduXIlxfVev35d3377rRo3bqyAgAC5urqqYMGCqlKlitq0aaOvvvpKp045viPt8uXL+vjjj1W/fn0FBATIzc1NJUqUUMeOHbVgwYKMfhy2Y7h8+fLJ0m7fl5L022+/qVmzZgoICJCHh4cqV66st956S5cuXUp1Xdm1DQDyFtoQt9CGoA0h0YagDQEgPWhD3EIbgjaERBuCNgRw55g3b56MMerevXuyjllJKl68uN566y1Vq1YtxXq+/PJLvfnmm/L19dXy5cvvqo5ZSZIBcMc7d+6cadSokZGU4is4ODhJuT59+hhJply5cubff/81hQoVclj2yy+/tLvuw4cPp7peJycnh+WNMaZJkyZGkmnSpImZM2eO8fT0tFuPs7Oz+f333x3Ws2TJEodlLRaL+eyzz2zb3KRJE7t1xMbGmhdeeCHF7XF3dzfTp09Pdb842s6UXlZTpkyxLfvrr79MuXLlkuWdP3++Lf/kyZONq6urw3otFov56KOP7MZ17NgxW74ff/zRdOrUyWE9L730kjHGmB07dpiSJUs6/HxuP9bSw1rPsGHDTL9+/RzGUrJkSXPw4EG7dXzwwQepftalSpUyu3btslv+3Llz5p577km1jm+//dZu+SVLlhh/f/8Uyz7xxBPm+vXrycom3h9TpkxJlp747zalspMnTzZPPvmkw/VXqlTJnDt3zuF+yMw2AMg/aEPcQhuCNoQVbQjaEADShjbELbQhaENY0YagDYH8JTY21uzfvz/JKzY21mH+UyVL5/lXVhk4cKCRZF577bU0l7H+3li/iz///HMjyRQoUMCsX78+y2JLq/Tu3+xA5yxwh4uIiDDVq1e3NVKefPJJs2rVKnP27FkTFhZmtm/fbkaPHm3q1q3r8KTI39/fFC5c2NSoUcPMmjXLhIaGmgsXLpi5c+ea0qVLG0nGxcXFHDp0KNn6Dx8+bBo1amS++uorExwcbA4ePGguXbpkQkJCzPz5803z5s1tsf355592t8H65V2qVCnj4eFhGjRoYJYuXWrOnz9vzpw5Y6ZMmWL8/PxsX+iXL19OVsehQ4dsJ0T+/v5mzJgx5tixY+bixYvm77//Nk2bNjUWi8VUqlQpxZMiayPcycnJPPfcc2bt2rXm4sWL5vz582bx4sXm4Ycftp2grV69Ol37Kjo62kRGRpqhQ4faPpPIyMgkL6vEJ0WlS5c2/v7+5ptvvjEhISEmLCzMrFu3zoSEhBhjjFmwYIEtb5kyZczUqVPN6dOnzblz58z8+fOTHB9jx45NFlfihnTFihWNi4uLef/9982+ffvMpUuXzPr16029evVseRYsWGDKlStnKlWqZH777Tdz5swZc+7cOfPzzz8bHx8fI8lUqFDBxMXFpevzsbKup0KFCkaS6dKli9mwYYMJCwsz+/fvN++++65xdna25Un8uVl9/vnn5plnnjHTpk0zmzZtMidOnDAXL140u3btMl9++aUpVaqUbXtjYmKSlX/mmWdsx8HQoUPNtm3bzLlz50xYWJjZt2+f+fXXX023bt3MuHHjkpX966+/bPHVqVPH/P777+bEiRPm8uXLZseOHebVV181FovFSDLPPvtsivsjMydFlSpVMk5OTuaNN94wO3fuNJcuXTL79++3NbAkmd69e9vdB5ndBgD5A22IW2hD0IZIjDYEbQgAqaMNcQttCNoQidGGoA2B/IXOWcdGjBhh+34/f/58msok7pz99NNPjSTj5+dnNm7cmGVxpQedswCy3eDBg1Ns8CZ2+xeQtXElydx33312G5fbtm2z5Rk6dGiGYuzRo4eRZJo2bWo3PfGdnK1atTI3b95Mlmfu3Lm2PJMmTUqW/vjjjxtJxtXV1WzevDlZemxsrGnZsqWtDnsnRUuWLLGlz5o1y26sN2/eNA0bNjSSTK1atVLZcvuGDRtmW48jiU+K3NzczNatWx3GY23gFy9e3Jw+fTpZnqtXr9ruvvTy8jJhYWFJ0hM3pCXZvRv30qVLxtfX13aCXKZMGXPx4sVk+SZNmpTqSXBqEsfiqNE+ceJEW57hw4enex2hoaG2uzGDgoKSpVvv3h48eHC66r1x44btQkLHjh0d/uiPHz/eFv+OHTuSpGXVSZGjbTPGmA4dOtiOrYiIiCzfBgD5A22IW2hD0IZID9oQtCEA0Iawog1BGyI9aEPQhkDeQuesY0eOHLHdfOTr62v69OljfvzxR7N9+3aHN8FYf1fbt29vJJmCBQuaLVu2ZFlM6UXnLIBsFRkZafuibN26dbrLJz4pWr58ucN8NWvWNJJM8+bNMxSn9WTDxcXFREdHJ0tPfFJ04MABu3XEx8fbGrH9+/dPknb+/Hnb3XUDBgxwGMfevXtTPCmy3l372GOPpbg9q1evttWze/fuFPPak96Toueff95hvvnz56d4smi1fPlyW77Ro0cnSUvckK5fv77DOrp27WrL9+OPP9rNEx4ebruT8eOPP3ZYV0qs63B3d092ApfYAw88YKRbd/RmRLdu3Ywk89RTTyVLK1CggJEcD6PlyNSpU20n52fPnnWYLyEhwVSsWNFIMm+88UaStKw6KapXr57D9c+bN8+W759//snybQCQ99GGuIU2BG2IjKANQRsCuJvRhriFNgRtiIygDUEbAnkHnbMpW7VqlSlTpozt79b68vf3Ny+88II5c+ZMkvy3D6Nv7yn/nJQXOmedBOCOtXbtWl2/fl2S1L9//wzX4+7urubNmztMr1q1qiTp3LlzDvMsWrRIPXv2VOXKleXj4yOLxWJ7tW/fXpIUFxenI0eOOKyjQoUKDicSd3JyUuXKle3GsWHDBsXHx0uS3UnKrWrUqGHblttdv35da9eulSS1aNFCUVFRDl/Vq1e3ldu8ebPD9WWVxx57zGHaP//8I0myWCzq1q2bw3ytW7dW4cKFJUlr1qxxmK9t27YO0ypVqmR7/+ijj9rNU6BAARUpUkSSdPbsWYd1pUWTJk1sMdvzxBNPSJJOnz6tY8eOJUu/evWqvvrqKzVv3lzFixeXu7t7kuNy9uzZkqRDhw4lK1u7dm1J0hdffKGFCxcqLi4uTTH/+eefkqT7779fPj4+Do+ha9eu6f7775eUfcdQSvsy8d/B7X9PeWkbAGQf2hC30IagDUEbIjnaEABSQhviFtoQtCFoQyRHGwK4c7Ro0UKHDx/WvHnzNGjQINWuXVsuLi66evWqJkyYoFq1atn9LnvkkUckSUOGDLnr/05dcjsAANknJCTE9v6BBx7IcD0BAQFydXV1mO7l5SVJio6OTpYWHR2tJ554QsuWLUvTuq5eveowrWTJkimWdRRH4gaxo5OqxOn2fjiOHj2qmzdvSpJef/11vf766ynWY3Xx4sU05cuMihUrOkyzbnvJkiVVsGBBh/ksFotq1Kihf/75R8ePH3eYL6V94Onpma589o6X9Eh88pla+rFjx1ShQgXb/zdt2qTHH39cFy5cSHU99o7JL7/8Ug0bNtTFixfVsWNH+fn5qWHDhnrkkUfUpEkT1atXT05Oye9/OnjwoCRp69at8vX1TXXdUvYdQyntI+vfkpR8P+WlbQCQfWhD3EIbgjYEbYjkaEMASAltiFtoQ9CGoA2RHG0I4M7i5uamzp07q3PnzpJufXf9/vvveu+993ThwgW9/PLLWrlyZZIyH3/8sWbMmKGffvpJbdq00Zo1a3TfffflRvi5jidngTtYRESE7X2BAgUyXI+LS9ru4zDGJFv21ltv2U6IOnTooLlz5+rgwYMKCwtTZGSkIiMjtWTJElv+lO78y2gcUVFRtvc+Pj4plnWUntLJWkpiYmIyVC49EjdgbxcZGSlJaWq8WvNYy9jj7OycppjSks/e8ZIe6dmXibcpMjJSHTt21IULF+Tt7a33339fa9as0cmTJ3XlyhXbcdmzZ09J9o/JOnXqaOvWrerevbs8PDwUHh6uJUuW6L333tMjjzyismXLaty4ccm2MSPHUXYdQxn9e8pL2wAg+9CGuIU2BG0I2hDJ0YYAkBLaELfQhqANQRsiOdoQwJ3N399fgwYNUlBQkCQpODg42c0WFotFkyZN0pNPPqkrV66oVatWSW7supvw5CxwB0t8IhQREaHixYvn6Pqjo6M1ZcoUSVKPHj30+++/281348aNbI0jceP42rVrKeZNfAKVWOKTiqlTp6p3795ZE1w2S8uJjlV6TqDyAkf7yl564m2aPXu2zp8/L0maM2eO2rRpY7d8asfKvffeq5kzZyomJkZbtmzRpk2bFBwcrFWrVik0NFQvv/yyjh49qq+//jpZHM2bN9dff/2V8gbmUXfCNgBIHW2IW2hD0IagDZF17oRtAJA62hC30IagDUEbIuvcCdsA3E2s0xLEx8fr6tWryW7ocXJy0q+//qro6GgtXLhQLVu21L///quyZcvmRri5hidngTuYde4TSdq5c2eOr//gwYO2O9Wsd//Zs2fPnmyNo3z58kliSomj9HLlytnuwjx8+HCWxZbdrEPonDlzJsU7DY0x2rdvn6Skn1detn///jSnJx5KyPq3ULBgQYcnRFLaj0sPDw81atRIb731lpYsWaLjx4/b5jgZM2aMLl26ZMtrnQ8nPx1Dt7sTtgFA6mhD3EIbgjYEbYiscydsA4DU0Ya4hTYEbQjaEFnnTtgG4E6S2igE1r9VNzc3BQQE2M3j4uKiWbNmqUWLFjp58qRatmyZ4jzydyI6Z4E7WMOGDW3zaljvHM1Jie9EjY+Pt5snPj5eM2bMyNY4GjRoYJt3448//nCY78CBA3bneZEkPz8/1atXT5I0a9YsJSQkZHmc2aFx48aSbv1ozp4922G+lStX2hrvTZo0yZHYMmvNmjVJTjhuN2fOHElS6dKlk5wUWY9LR8ekJK1bty7JHEHpUaJECQ0ePNi2jsRDczz66KOSpJMnT2r9+vUZqj+33QnbACB1tCFuoQ1BG4I2RNa5E7YBQOpoQ9xCG4I2BG2IrHMnbANwJ/nwww/19ttv68iRI8nSQkND9fzzz0uSHn/8cbm5uTmsx93dXQsWLFCDBg0UEhKi1q1b6/Lly9kWd15D5yxwB/Px8dHAgQMlScuXL9f48eNTzJ/SPCsZkbghumDBArt5Pv74Y4cnIlmlaNGiat++vSQpKChI27dvT5YnPj5er732Wor1vP3225Ju3dX6zjvvpHqX0IEDBzIWcBZq3769SpcuLUkaPny4zp49myxPRESE3njjDUm35o3JL0Ml3bhxwxb37X744Qft2LFDkjRgwIAkaRUrVpR0a7uDg4OTlY2IiNCLL77ocL3Xrl3TyZMnU4wt8YlQ4cKFbe979eqlEiVK2OK6cOFCivVcuXLFNvRRXnEnbAOA1NGGuIU2BG2IxGhDZM6dsA0AUkcb4hbaELQhEqMNkTl3wjYAd5KoqCh99dVXCgwMVNWqVdW5c2f17NlTjRo1UoUKFbR582YFBgZq9OjRqdbl7e2tpUuX6oEHHtCePXvUpk2bNA2Lfyegcxa4w3388ceqWrWqJOmll15Sr169FBwcrPPnz+vy5cvatWuXxo0bp3r16mnt2rVZuu7ixYuradOmkm7NjzJ48GDt3btXly5d0pYtW9S3b1999NFHqlGjRpau154vvvhCHh4eio2NVcuWLfX999/rxIkTunTpklavXq1HH31UK1eutDWY7enYsaP69esnSfr666/VtGlTzZ49WydOnFB4eLjOnDmjtWvX6uuvv1aDBg1sd4vmJldXV9vJ8JkzZ1S/fn1Nnz5dZ86c0YULF7RgwQI98sgjtqGERo0apUKFCuVmyGlWoUIFTZ06VV27dtWmTZt0+fJlHTx4UEOHDrWd1FSoUEFvvvlmknJPPPGEbWionj17aurUqTp58qTOnTunOXPmqF69etq3b5/t7+Z2Fy9eVMWKFfXYY4/pxx9/1M6dO3Xx4kVdvHhRO3bs0JAhQzRq1ChJUp06dZIM6+Xp6alff/1VLi4uOnDggGrWrKkvvvhCu3bt0uXLlxUWFqa9e/dq+vTp6tWrl0qXLq0tW7Zkx8eXYXfCNgBIG9oQt9CGoA1hRRsic+6EbQCQNrQhbqENQRvCijZE5twJ24A7X+nQU3n+lVU++OAD/frrr3r66afl7u6uf//9V3PmzNH+/fv10EMP6YsvvtDOnTtVqlSpNNXn5+enP//8U9WrV9eWLVvUoUMHXb9+PcvizbMMgDteaGioqVevnpGU4is4ODhJuT59+hhJply5cinWn1K+gwcPmiJFijhcZ7NmzczSpUsdxmCMMU2aNDGSTJMmTVKMI7V8CxcuNB4eHnbjsFgsZuTIkeaZZ54xkkyLFi3s1hEbG2vefPNNY7FYUv08S5QokWK8jgwbNsxWhyNTpkyx5Tl27Fiqdf7000/G1dXVYawWi8UMHz7cbtljx47Z8k2ZMiVTcRtjTLly5Ywk06dPn1Tjtse6jmHDhpm+ffs63KaSJUuagwcP2q3j66+/dljO2dnZjBs3zuFxnfjzSOlVqVIlc/jwYbvrX7lypSlatGia6lmxYoXD9dvbHyn9PaZ1X6YlX2a2AUD+QRviFtoQtCGsaEPQhgCQNrQhbqENQRvCijYEbQjkL7GxsWb//v1JXrGxsbkdFrJIXti/PDkL3AVKliypdevWaebMmercubNKlSolNzc3+fv7q3r16urVq5fmz5+vBg0aZPm6q1atqu3bt2vQoEEqW7asXF1dFRAQoIYNG2rChAlatWqVbT6a7NahQwft2bNHzz77rMqUKSM3NzcVK1ZMjz32mFasWKH33ntPUVFRkqQCBQrYrcPFxUVfffWV9u/fr9dff121atWSv7+/nJ2d5evrq+rVq+upp57SlClT8sRwQlbPPvusDhw4oJdfflnVqlWTt7e3PDw8VLFiRfXv31/bt2/XsGHDcjvMdJsyZYp+/fVXNWnSRIUKFZK7u7uqVKmid999V3v37nV41+kbb7yhZcuWqVWrVvLz85Obm5vKlCmjp556SuvWrUtxOKGyZctq3bp1+uSTT9S6dWtVrlxZvr6+cnV1VbFixdSiRQt999132rNnjypVqmS3jpYtW+rIkSMaO3asWrdureLFi8vV1VUeHh4qU6aMWrVqpU8++UT79u1T69ats+Szymp3wjYASB1tiFtoQ9CGsKINkXl3wjYASB1tiFtoQ9CGsKINkXl3wjYAgJXFmFQmKwCAu8h9992nvXv36pVXXtHYsWNzOxwAAJBP0IYAAAAZQRsCAPKeuLi4JHM5S1LlypXl4uKSSxEhK+WF/cuTswDw/4WEhNjmPKlbt24uRwMAAPIL2hAAACAjaEMAAHB3onMWwF3j0qVLDtNu3rypF198UcYYeXl56fHHH8/ByAAAQF5GGwIAAGQEbQgAAGAPz2ADuGu88MILun79up566ik99NBDKly4sCIiIrRx40aNGjVK27dvlyS9++678vPzy+VoAQBAXkEbAgAAZARtCAAAYA+dswDuGgkJCVq8eLEWL17sMM+zzz6r999/PwejAgAAeR1tCAAAkBG0IQAAgD10zgK4awwdOlSBgYEKDg5WaGioLl26JIvFouLFi6t+/foaMGCAmjVrltthAgCAPIY2BAAAyAjaEAAAwB6LMcbkdhAAAAAAAAAAAABAbouLi1NISEiSZZUrV5aLC8873gnywv51yrE1AQAAAAAAAAAAAMBdjM5ZAAAAAAAAAAAAAMgBdM4CAAAAAAAAAAAAQA6gcxYAAAAAAAAAAAAAcgCdswAAAAAAAAAAAACQA+icBQAAAAAAAAAAAJAqi8WS5OXq6qqAgADdd9996tu3r+bOnau4uLg0l7f36tu3b85tUC5wye0AAAAAAAAAAAAAgPwoYfVruR1Cqpyajs7yOvv06SNJSkhIUHh4uP777z9NnTpVv/zyiwIDAzV9+nQ99NBDqZa3p2HDhlkeb15C5ywAAAAAAAAAAACANAsKCkq27MiRI3rvvfc0a9YsNWvWTOvWrVOtWrXSXP5uwbDGAAAAAAAAAAAAADKlUqVKmjlzpp599llFR0erf//+uR1SnkTnLAAAAAAAAAAAAIAs8fXXX8vb21s7duzQ2rVrczucPIfOWQAAAAAAAAAAAABZws/PT23btpUkBQcH53I0eQ+dswAAAAAAAAAAAACyjHWu2QMHDuRuIHkQnbMAAAAAAAAAAAAAskxAQIAk6cqVK3bTLRaLw9cff/yRg5HmPJfcDgAAAAAAAAAAAADAncMYI+lWJ6w9ffr0cVi2bNmy2RJTXkHnLAAAAAAAAAAAAIAsExYWJkkqVKiQ3fSgoKAcjCZvYVhjAAAAAAAAAAAAAFlmx44dkqTq1avnciR5D52zAAAAAAAAAAAAALJEeHi4VqxYIUlq1qxZLkeT99A5CwAAAAAAAAAAACBLvPnmm7p27Zrq1q2r+vXr53Y4eQ6dswAAAAAAAAAAAAAy5ejRo+rRo4cmT54sb29vTZ48ObdDypNccjsAAAAAAAAAAAAAAPlH3759JUkJCQmKiIjQf//9p4MHD8oYo8qVK2vGjBm67777Ui1vT9myZTVixIgsjjjvsBhjTG4HAQAAAAAAAAAAAOS2uLg4hYSEJFlWuXJlubjYf94xYfVrORBV5jg1HZ1ldVksliT/d3FxUYECBVSyZEk9+OCD6tixox5//HE5Ozunqbw9999/v3bu3JkV4SaT3v2bHXhyFgAAAAAAAAAAAMiArOz4zA8y+8wnz4wy5ywAAAAAAAAAAAAA5Ag6ZwEAAAAAAAAAAAAgB9A5CwAAAAAAAAAAAAA5gM5ZAAAAAAAAAAAAAMgBdM4CAAAAAAAAAAAAQA6gcxYAAAAAAAAAAAAAcgCdswAAAAAAAAAAAACQA+icBQAAAAAAAAAAAIAcQOcsAAAAAAAAAAAAAOQAOmcBAAAAAAAAAAAAIAfQOQsAAAAAAAAAAAAAOYDOWQAAAAAAAAAAAADIAXTOAgAAAAAAAAAAAEAOoHMWAAAAAAAAAAAAAHKAS24HAAAAAAAAAAAAAORLwy25HUHqhptsqXbz5s16+OGHJUkfffSR/ve//0mSgoKC1K9fv3TVNWzYMA0fPjyrQ8yT6JwFAAAAAAAAAAAAkC6//vqr7f306dNtnbOBgYHq06dPsvy//PKLJKlr167y8fFJklarVq3sCzSPsRhjsqe7HAAAAAAAAAAAAMhH4uLiFBISkmRZ5cqV5eLi4HnHu/TJ2djYWJUsWVJhYWEqXry4zp07p40bN9qepLXHYrn1WR07dkzly5fP8pjSIt37Nxsw5ywAAAAAAAAAAACANFu+fLnCwsL0yCOP6MUXX5SU9ElaOEbnLAAAAAAAAAAAAIA0mzZtmiTp6aef1tNPPy1JmjlzpmJjY3MzrHyBzlkAAAAAAAAAAAAAaRIeHq6FCxfKzc1N3bt3V4UKFdSgQQOFhYVp+fLluR1enkfnLAAAAAAAAAAAAIA0mTNnjmJiYtS2bVsVKlRIkmxPzzK0ceronAUAAAAAAAAAAACQJtYOWGuHrCR1795drq6uWrRokcLDw3MrtHyBzlkAAAAAAAAAAAAAqTp58qT++ecf+fv7q0OHDrblhQsXVrt27RQTE6PZs2fnYoR5H52zAAAAAAAAAAAAAFI1ffp0GWP0xBNPyN3dPUma9UnaadOm5UZo+YZLbgcAAAAAAAAAAAAAIO+zDmm8evVqNWzYMEnazZs3JUn//POPTpw4oXLlyuV4fPkBnbMAAAAAAAAAAAAAUrRt2zYdOHBAknT48GEdPnzYbj5jjKZPn6733nsvJ8PLNxjWGAAAAAAAAAAAAECKrMMVv/XWWzLG2H2tXr06SV4kR+csAAAAAAAAAAAAAIfi4+P122+/SZJ69uzpMF+jRo1UqlQpHThwQNu2bcup8PIVOmcBAAAAAAAAAAAAOPTnn3/q/PnzqlKlimrXru0wn5OTk3r06CHp/+anRVLMOQsAAAAAAAAAAABkxHCT2xHkCGtHa0pPzVr17NlT33zzjX777Td99dVXcnGhOzIxizHm7jhqAAAAAAAAAAAAgBTExcUpJCQkybLKlSvTwXiHyAv7l2GNAQAAAAAAAAAAACAH0DkLAAAAAAAAAAAAADmAzlkAAAAAAAAAAAAAyAF0zuKu07RpU1kslmSv48eP53ZoAAAAAADgDhMfH6/ff/9dXbt2VaVKleTj45PsmkStWrVyO0wAAADkEGYvBgAAAAAAALLBpUuX1K5dO23evDm3QwEAAEAewZOzAAAAAAAAQDbo3bs3HbMAAABIgs5ZAAAAAAAAIIsdOHBAy5Yty+0wAAAAkMcwrDEAAAAAAACQxdauXWt3eenSpTVixAhVqFBBLi63Ls35+PjkZGgAAADIRXTOAgAAAAAAAFns4sWLdpe/8cYb6tevXw5HAwAAgLyCYY0BAAAAAACALHbz5k27ywsWLJjDkQAAACAvoXMWd4xr167p66+/VoMGDRQQECAvLy8FBgaqT58+DocSAgAASCwiIkKTJk1Sz549VbVqVRUuXFiurq4qUqSIatasqZdeekl//vlnbocJAADyqKCgIFksFlksFn300Ud28/Tr18+Wx/oKCgrK2UABAACQaxjWGHeEjRs3qkePHjp58mSS5UeOHNGRI0c0depUPffccxo7dmwuRQgAAPKy+Ph4jRw5Ul9//bUiIiKSpYeFhSksLEx79uzR+PHj9dBDD+mnn37SfffdlwvRAgAAAAAAIL+icxb53tatW9W6dWtFRkammO+HH35QWFiY4uPjcygyAACQH0RERKhDhw76559/0lxm8+bNatCggWbNmqW2bdtmY3QAAAAAAAC4kzCsMfK169ev66mnnkq1Y9Zq3rx5WrduXTZHBQAA8ov4+Hh17949XR2zVlFRUerevbv27duXDZEBAAAAAADkPbdPz2CxWOTq6qqSJUuqa9euWr9+vd1yTZs2tVs28at8+fI5uzG5hCdnka+NGzdOISEhdtOaNGmigQMHqkSJEjp8+LDGjBmj/fv3yxiTw1ECAIC86qefftKKFSuSLXd3d1evXr3UokULFS1aVKGhoZo+fbpWrlyZJF9UVJQGDBigDRs25FTIAAAgD2vXrp3+/fdfSdLPP/+sKVOmJMvz3nvvJRt5o0qVKjkSHwAAyHpbFh3I7RBSVbfDPVleZ58+fWzvIyMjtWvXLs2bN0/z58/XtGnT9NRTT9kt9+ijj6p48eJ20wICArI8zryIzlnkaxMmTLC7/IknntCsWbNksVgkSc2bN1evXr3UqFEj7dixIydDBAAAeVRCQoI++eSTZMs9PT31559/qmHDhkmW9+nTR6+//rpGjx6dZPnGjRv1119/qUWLFtkZLgAAyAeKFi2qokWLSpJWrVplN0/lypWTtTMAAADym6CgoCT/T0hI0HvvvadRo0bp1VdfVbdu3eTq6pqs3JAhQ9S0adOcCTKPYlhj5FuHDx/W0aNHky13dnbWmDFjbB2zVt7e3vriiy9yKjwAAJDHbd26VadPn062/Omnn3Z4wfTNN9+0u3zBggVZGhsAAAAAAEB+4uTkpBEjRsjFxUWXLl1iGqgU0DmLfGvr1q12l9epU0clS5a0m9a8eXP5+vpmZ1gAACCfsA45eLsff/zR4dwnZcqUsVsmI3PWAgAAAAAA3Enc3Nzk5+cnSYqLi8vlaPIuOmeRb50/f97u8qpVqzos4+TkpMDAwOwKCQAA5CNnz57NsrrOnDmTZXUBAAAAAADkR8eOHdOlS5fk6upKX0wK6JxFvhUZGWl3uZeXV4rlvL29syMcAACQz4SHh2dZXZcvX86yugAAAAAAAPKTqKgorV27Vt27d5ckvfDCC/L398/doPIwl9wOAMgoR8MTR0dHp1ju2rVr2REOAADIZ7LyJCE+Pj7L6gIAAAAAAMjrLBZLsmW+vr767rvv9NJLLzks16xZM4dpgwcP1ujRo7MivDyNzlnkW0WLFrW7/NChQw7LJCQk6PDhw9kVEgAAyEeKFy9ud/nrr7+uLl265HA0AAAAAAAA+UefPn1s72/cuKETJ05o06ZNGjFihCpVqqS2bdvaLffoo486vCbz0EMPZUuseQ2ds8i36tata3f51q1bdfbsWZUoUSJZ2urVqx0OhwwAAO4uDRs2tLs8JCTEYZo9xhglJCRkVVgAAAAAAAB5XlBQULJlO3bsUJMmTfT4449r7969qlq1arI8Q4YMUdOmTbM/wDyMOWeRbwUGBqpixYrJlsfHx+v111+XMSbJ8ujoaL3zzjs5FR4AAMjj6tatq5IlSyZbvnjxYk2cODHV8qdPn9bXX3+tKlWq6NSpU9kRIgAAAAAAQL7xwAMP6Pnnn1dcXJwmTJiQ2+HkWTw5i3xt0KBBdjtcZ86cqQsXLmjAgAEqUaKEDh8+rDFjxmjfvn25ECUAAMiLnJyc9MEHH+jFF19MlvbCCy9o0qRJ6tWrlypUqKBChQopMjJS586d0+7du7V+/Xrt2LEjF6IGAAAAAADIuypUqCDp1shksI/OWeRrL730kn788Ue7f+TBwcEKDg7OhagAAEB+MXDgQM2fP18rV65MlrZz507t3Lkz54MCAAAAAADIp44ePSpJ8vHxyeVI8i6GNUa+5uXlpRkzZsjX1zdN+Rs1auRwrloAAHD3cXFx0Zw5c9S4cePcDgUAAAAAACBf27Fjh3744QdJUrt27XI5mryLJ2eR79WpU0crVqxQjx49UpzvrUuXLpoyZYoef/zxHIwOAADkdQUKFNDff/+tUaNG6auvvtKVK1fSXLZSpUp66qmnVKxYsWyMEAAAAAAAIG/p27ev7f3Nmzd14sQJbdy4UQkJCerQoYN69+5tt9znn3+uoKAgh/WOHz9eXl5eWRxt3kLnLO4I9evX1/79+zVx4kTNmTNH//33n6Kjo1W8eHHVq1dPffr0Udu2bXM7TAAAkEc5Ozvrvffe02uvvabZs2dr9erV2rp1qy5cuKCrV6/KyclJBQoUUJkyZXTPPfeobt26atGihWrUqJHboQMAAAAAgFxUt8M9uR1Crvjll19s752cnOTv76/GjRurd+/e6tu3r5yc7A/eu2LFihTrHT169B3fOWsxxpjcDgIAAAAAAAAAAADIbXFxcQoJCUmyrHLlynJx4XnHO0Fe2L/MOQsAAAAAAAAAAAAAOYDOWQAAAAAAAAAAAADIAXTOAgAAAACA/8fefYdHUbV/A//OZks2jQChlwDSQUCkSA0iIFUBkSJCKGIvlEcFBIPIA+JPqSLIAwRQRFQELBTpIE06UkLvBNJ7Ntly3j/y7pglm81ustlCvp/r2otl58zMmWSyc8+cc+5DRERERERELsDGWSIiIiIiIiIiIiIiIiIiF2DjLBERERERERERERERERGRC7BxloiIiIiIiIiIiIiIiIjIBdg4S0RERERERERERERERETkAmycJSIiIiIiIiIiIiIiIiJyATbOEhERERERERERERERERG5ABtniYiIiIiIiIiIiIiIiIhcgI2zREREREREREREREREREQuwMZZIiIiIiIiIiIiIiIiIiIXULq7AkSeQqfT4erVq/L/H3vsMfj6+rqxRkREROQtGEcQERFRYTCGICIiIip52DhL9P9dvXoVjRs3lv9/9uxZNGrUyI01IiIiIm/BOIKIiIgKgzEEERERUcnDxlkiIiIiIiIiIiIiIiKiQnir4//cXYUCLdo3xmnbkiTJ5vKwsDDs2bMn3/KSJCEwMBANGjTA4MGD8dZbb0GlUjmtft6AjbNEREREREREREREREREZLfw8HCrn9evX99meaPRiBs3buDgwYM4cuQIfv/9d2zduhVKZclpsiw5R0pERERERERERERERERERbZy5coilT9y5Ag6deqEnTt34ocffsDLL7/svMp5OIW7K0BEed25cwdz585Fly5dUK1aNajValSpUgUvvfQSzp496+7qERERkQdjHEFERESFwRiCiIiIXKl169YYMWIEAGDbtm3urYyLsXGWyAN99dVXGD9+PG7duoUePXpg/PjxeOKJJ/DDDz+gRYsW2L17t7urSERERB6KcQQREREVBmMIIiIicrVGjRoBAGJiYtxcE9fyurTGMTExKFWqFDQajburQlRsWrVqhX379qFDhw4Wn//0008YOHAg3nzzTVy4cMFNtSMiIiJPxjiCiIiICoMxBBEREblaamoqAKB8+fJurolreczI2cTERPz666/4448/rC5ftGgRypUrh0qVKiEwMBCDBw9GQkKCi2tJ5Br9+/fPczMEAC+++CLq1q2LqKgoxMXFuaFmRERE5OkYRxAREVFhMIYgIiIiV9u6dSsAoHv37m6uiWt5TOPs2rVr0a9fPyxevDjPsnXr1uGdd95BfHw8hBAwGAz46aef0KtXLwgh3FBbIutWrlwJSZKsvgIDA1G3bl0MHToUW7ZsKfQ+1Go1AECp9LqB77K9e/di0KBBqFatGjQaDSpVqoTevXvj119/9bj9pKWlYe7cuejUqRPKlSsHlUqFwMBANGrUCK+99hqOHz/ulLomJSWhQoUKUCgUOH36tF3lFy1ahL59+6JWrVoICgqCRqNBhQoV0KFDB3z44Yc4ceKE1XVzn6d79uxxSv2tGTFihNW/BVu86dxwVV09tS4mkwnt2rWTf681atQo1m1s3LjR6vm0cuXKPGVHjRoFSZIwceJEh+tE5E6MI+zjDdeKGzdu5Pu7fPj1888/F7mujCNyeMO54eq6ursuCQkJWLZsGV5//XW0bt0aoaGhCAgIgK+vL6pUqYJevXphxYoV0Ov1Dm+bcQTRvxhD2MebrhNmx44dw1tvvYUGDRogKCgIAQEBqF27Np577jl8+eWXSElJKVJdGUPk8KZzgzGE4zFESkoKZs+ejbZt26JMmTLQaDSoXr06XnrpJezdu9fmuowhiGzLL/64ceOGzfVMJhOuXr2KN954A/v27cPzzz+PQYMGuabSnkJ4iL59+wqFQiGWL1+eZ1m9evWEJEmiWrVqIiIiQrz00ktCkiShUCjEd99954ba0qPo7NmzAoD8Onv2rMPbiIyMtNiGrVf//v1FVlaWQ9s/duyYACBatGjhcN08xaRJk4QkSfn+XIYNGyaMRqNH7OfMmTOiWrVqNn+PkiSJSZMmFbm+b7/9tgAgXnzxxQLLfvHFFyI4ONiu8ywsLEycP3/eYv3c5+nu3buLXPf8hIeHW61Tfrzp3HBVXV11PIUxf/58i/2EhoYW6zY2bNhg9fgiIyPzlL127ZpQqVRCo9GI69evO1wvosJgHOEa3nKtuH79ut2/y59++qnI9WUc4T3nhivr6qrjsWXLli12nWsNGzYUV69edWjbjCPoUcEYwjW86TohhBB6vV688cYbNrcFQJw8ebJI9WUM4V3nBmMIx2OIY8eOiapVq9rcxvjx4/NdnzFEyaXX68X58+ctXnq9Pt/yb3ZY6vEvZzL/LYSHh1t9xcbGWi1v7TVmzBhhMpmcWr+COPr7LQ4e0zhbv359oVAoxJkzZyw+P3nypJAkSSiVSnH58mX58zFjxghJkkSfPn1cXVV6RDn7hmjz5s0iNTVVpKamiuTkZHH69GkxZ84cUapUKbnMuHHj7N52amqqaNSokZAkSezcudPhunmCRYsWycfeokULsWPHDhETEyNOnjwpXnrpJXnZBx984Pb9pKamyg2zPj4+4p133hFHjx4VMTExIioqSixdutQiuFuxYkWh63vlyhWhUqmEQqEQ586dy7ecXq8XgwYNkvcZFBQk3n//fbF7925x8+ZNER8fLy5cuCDWrFkjXnjhBaFQKAQAMXfuXIvtuPqGqH379vLfQmpqqtWy3nRuuKqurjqewrh+/brw9/cXKpVK/jtxtHHW0W0YDAb5HDp37pzNGyIhhHjttdcEADFw4ECH6kVUWIwjip83XStyN84uWbLE4jr48MtgMBSpvowjvOvcKGlxxPbt20X79u3FJ598In7//Xdx+vRpERMTI27cuCF27dolhg4dKj/YrVOnjsjIyLBru4wj6FHCGKL4edN1QgghjEaj6N+/v1x+0KBB4s8//xR3794VcXFx4uTJk2LOnDmiefPm4tSpU4WuL2MI7zo3GEM4HkPcunVLlCtXTn62N2XKFHHhwgURHx8vjhw5IgYMGCDXdebMmVbrwRii5GLjrG3mvwVHy5sbbwcNGiTq169f4N9UcWHjbC4hISFCoVCIuLg4i8/nzp0rJEkSnTt3tvj88OHD8mhaImdw9g1RfoHmoUOH5OBBo9HkGyDmlpWVJbp37y4AiE8++cThenmChIQEuYdlnTp1RFpaWp4yQ4YMEQDydMZwx36WLVsm/y5nzZpltczFixeFv7+/ACCaNWtWqPoKIcSoUaMEANG9e3eb5caPHy/XqX379iImJsZm+XPnzom2bdu6/YYoLCzMZjlvOjdcVVd7uLMuXbp0EQDElClTRFhYWIEPRJ29jdyNHvkFbxcuXJDLPNxjm6g4MI4oXt50rRDCvu8pZ2Ec4T3nBuMI62bOnCmfU6tWrbJrHcYR9ChhDFG8vOk6YTZv3jz591mUjuAFYQzhPeeGJ123PakuBcUQI0eOLPBvafjw4QKA8PX1Fbdu3bK5P8YQJQsbZ20rbOPswz7//HMBQPj5+YkbN244s4o2eULjrMfMOZucnAwAeeYAOHDgACRJQpcuXSw+N88nExsb67Q6pKen48GDB3jw4AHS09Odtl2i3J566ik888wzAICsrCz8/fffNssbDAYMGjQIW7duxYQJE/Dxxx+7oppO9+233yIpKQkAMH36dPj7++cp8/nnn8PHxwcGg8Hq/NOu3M/Jkyfl9+Hh4VbL1K1bF23btgUAREVFFaq+MTExWLNmDQBg2LBh+ZY7cuQI5syZI+9327ZtKFeunM1tN2zYEHv27EHPnj0LVTdX8aZzw1V1tYe76rJ8+XLs2LEDdevWxZQpU9y2jYLUr18fLVq0AAAsWbKkWPZB5A6MIzz/WuFKjCO869zwpPPLk+ry6quvyu+PHTtWYHnGEUSFwxjC868TQM7cmObvtuHDh2PkyJGFqk9BGEN417nhSddtT6qLrRgiOzsbP/74IwCgQYMG+f4tzZo1CwqFAjqdzinXfMYQRI55//330a1bN2RkZOCTTz5xd3VcymMaZwMCAgAA9+/ft/h8//79AHKCyNxUKpXFv44ymUz4448/MGbMGDRv3hz+/v4ICgpC5cqVUblyZQQFBcHPzw9PPPEExowZgz/++ANGo7FQ+yJ6WIMGDeT3MTEx+ZYzGAwYMmQINm7ciHfeeQdffPGFK6pXLDZt2gQA0Gg06Nevn9UyVatWRbt27QAAGzdudOt+fH195fcKRf5fleZl5cuXL0x1sWbNGmRlZSEwMBB9+/bNt9xnn30mv1+wYAH8/Pzs2r5KpULdunULVTdX8aZzw1V1tYc76hIdHY3//Oc/kCQJS5cuhUajccs27DV8+HAAwOrVq5GRkVFs+yFyNcYRnn2tcCXGEd51bnjS+eVJdVGr1fL7guICxhFERcMYwrOvE0DOtT0tLQ0AMGHChELVxR6MIbzr3PCk67Yn1cVWDHH58mV58NXTTz+d7zYqV64sn6vr1693Sr0YQxA5xnyt+fbbb3Hz5k0318Z1PKZx1vwluHnzZvmzvXv3IiYmBkqlEq1bt7Yob27ErVChgsP72rJlCxo2bIjnnnsOK1aswKlTp5CZmQmRk+ZZful0Opw+fRorVqzAc889h0aNGmHr1q1FOEqiHEII+X3p0qWtljEajRg2bBh+/vlnvP7661iwYIGrqlcszD3YmjdvbvMhinkk6rVr1+SeeO7Yz5NPPim/X7t2rdVt3Lx5EwcPHgSAQvcI3bBhAwAgLCws35ucjIwM/PHHHwBysgZ069atUPtyRI0aNSBJkpyloDh507nhqrrawx11eeONN5CUlIRRo0YhLCzMbduwl/nvMikpiddveqQwjvDsa0V+srOzHa5PQRhHeNe5UdLjiPzkjrVbtWplsyzjCKKiYQzh2dcJAPI1u1KlSmjSpIn8uRACBoPB4XrlhzGEd50bnnTd9qS62Iohcu8zv+87s7JlywIALl68iJSUlCLXizEEkWOeeOIJ9O3bFwaDAZ9//rm7q+MyHtM427NnTwghMG3aNCxcuBC//PILxowZA0mS0LVr1zyBwokTJwAA1atXd2g/ixcvRp8+fXD58mUIIaBWq/HUU0/hpZdewrhx4zB58mR89NFHGD9+PIYOHYo2bdpArVZDCIFLly6hd+/e+Oabb5x23FQyXbhwAUBOGu+GDRvmWW4ymTBixAj88MMPGD16NL7++mun7FcIgbS0tCK9CtPjKzo6Wg5uHnvsMZtla9WqJb83/5zcsZ+BAwfi8ccfBwB8+OGHmDp1Ki5duoTMzEzcu3cP69atQ5cuXZCamooGDRrg008/daiuAKDT6eRUUg9nB8jt8OHD0Ov1AICOHTvmSf/uzbzp3HBVXe3hjrqsW7cOmzZtQoUKFfB///d/btuGIx577DE55daePXuKfX9ErsI4In/uvlZYM2vWLJQpUwYajQYqlQq1a9fGK6+8glOnTjlUv4cxjvCuc6OkxxEPS05OxunTp/Gf//wHb7/9NgCgTZs2eOGFF/Jdh3EEUdExhsifu68TZkePHgUANGrUCAAQGRmJ1q1bQ6vVQqVSoXz58njxxRfljuKFwRjCu84NT7hue1Jd7I0hgoKC5PeJiYk2t5mQkODUujKGIHLctGnTIEkSVqxYkSe77qNK6e4KmL377rtYsmQJ7t+/j7FjxwLICd58fHzw0Ucf5Sn/+++/Q5IkOUWCPU6fPo2xY8fCZDKhdu3amD59Ovr161dgKqTs7Gxs2LABERERuHTpEt577z20adPGogcbkb0OHTqEXbt2AQD69euHatWq5SnzySef4LvvvkNwcDAqV65sNd/62LFjERwc7NC+b968iZo1axaq3mahoaG4ceOGQ+vknhu6oNHuuZfHxcW5bT8+Pj7YuXMnhg4diu3bt2PGjBmYMWOGRZnKlStj8uTJmDhxIgIDAx2qK5Bzo5OVlQUAebID5Hbt2jX5vbUbaG/mTeeGq+pqD1fXJT4+Hu+88w4AYP78+QX2Oi2ubRTGU089hd9++403RPTIYBzh2dcKay5duiS/NxgMuHr1Kq5evYoVK1bgww8/xMyZMwv1sJNxhHedGyU5jjD77LPPMGnSpDyfq9VqjBgxAgsXLsx3OhHGEURFxxjCs68TQE6jqTnddKlSpfDiiy/i559/zrOvn3/+GT///DMiIiIwbdo0h+oKMIYAvOvcYAxRuBiiTp060Gg0yMrKsnkdj46OxsWLF+X/5z7GomAMUfIs2jfG3VXwak2bNkW/fv3wyy+/YM6cOSViBK3HNM4GBwdj9+7dePXVV+V5ZmvUqIH58+ejTZs2FmXj4+Px66+/AgA6d+5s9z4WLFgAvV6Pli1bYvfu3XbPk6BWqzFo0CA899xzCAsLw/Hjx7FgwQIsW7bM7n1TyZOZmSnPE2IymXDz5k3s3LkT06ZNgxACzZo1w9KlS62ua86tnpSUlO+IzBEjRjh8Q+Qu5p8DYDmXqzVardbqeu7YT7ly5bBmzRpMnjzZ6t97UlIS7t+/j+Tk5EI1zp49e1Z+b6vHYXx8vPzeVb9zR296C8ubzg1X1dUerq7Le++9h9jYWPTq1QuDBg1y2zYKo3bt2gCA8+fPQwjxSPX2pkcb44h/edO1wkyhUKBLly4YNGgQWrZsiapVqyIgIAC3b9/GH3/8gZkzZyImJgafffYZ1Gq11YffBWEc4V3nRkmOIwry/PPP49VXX0VAQEC+ZRhHENmPMcS/vOk6AVimYf3tt9+QnZ2NVq1aYfbs2WjdujWysrKwdetW/Oc//8Hdu3fxySefoEaNGhgxYoRD9WUM4V3nhiddtz2pLoDtGMLX1xc9e/bEhg0bcP78eaxevVqeCza3jz76CCaTSf5/amqqU+rGGIIedbmnSnBWeWfN++wtPCatMQDUq1cPe/fuRXJyMhISEnDt2jX06dPHatktW7Zg165daN++vd3b3717NyRJwmeffWZ3w2xuWq0Ws2fPhhBC7m1IlJ+ePXsiMDAQgYGBKFWqFJo0aYJx48YhOTkZH3/8MY4cOSLPafCwlStX5pkD+eFXYebfqFGjRoHbLehV1EC5oGDEWcGKM/bz/fffIzQ0FCtWrMDYsWNx8uRJJCQk4MaNG1i2bBmCg4OxYsUKtGnTBlFRUQ7XMXdvvPzOhZLEm84NV9XVHsVdlz/++ANr1qxBQEBAodOaOWMbhVWmTBkAOXNn5U5VROTpGEdY5y3XiurVq2P79u145ZVX0LRpU5QtWxYajQa1a9fGe++9h1OnTskjiGbNmmUxMsVejCMsecu54axtOIsr6zJhwgSkpqYiNTUV9+/fx549ezB69Gj8/PPPaNu2LSZOnGjxcNSMcQSRYxhDWOcN14nc34HZ2dlo3Lgx9uzZg06dOkGr1SI4OBiDBw/G7t274e/vDwCYPHmyw/PaM4aw5A3nhjO34SzeEENMnz5dbiQePXq0nBUzMTERR48exeDBgxEZGWnRkJxfFg9HMYYgooJ4VOOsWWBgoM0eWWXLlkVYWBjCwsKgVNo/+Dc6OhoAipSO2LxuScl7TcXj888/x86dO91dDZfJ3YMtMzPTZtncy231ni/u/fzyyy8YOnQoMjMzsXjxYsydOxfNmjVD6dKlERoaitGjR+Pw4cMoW7Ys7ty5g/DwcIfqCvx7Q6RUKi3mwnhY7pul3D1pHwXedG64qq72cFVdUlJS8PrrrwMAZsyY4fA8787aRlHk/vsxpwgj8naMI/Ln7muFvSpVqoQFCxYAAPR6PX788UeHt8E4wrvOjZIYRzxMpVIhICAAAQEBqFChAsLCwrBs2TJ89913AIDZs2fLfxdmjCOInIsxRP7cfZ0AkCcj15QpUywajczq1Kkjj5aNjo7GoUOHHKovYwjvOjcYQxQuhgCAxo0b46effkJAQAAMBgOmT5+OevXqoUyZMmjVqhXWrVuHpk2bWqRMdtbUCYwhiKggHtk4W1zMAce9e/cKvQ3zuoVJYUoly+7du+UenhkZGfjnn3/w3nvvQZIk6HQ6DBw4EFevXnVpnYQQSEtLK9IrIyPD4f2GhITI7wsKSB48eCC/d7QHpzP3ExERAQCoWbMmxoyxPmdAtWrV8PbbbwMA/v77b4vUQPawtxdh7rl5Lly44NA+PJ03nRuuqqs9XFWXadOm4c6dO2jZsqU8z5ujnLGNosidNoVphMibMI74lzddKxzRvXt3OR3ciRMnHF6fcYR3nRslMY6w10svvYQOHToAAObMmWOxjHEEkeMYQ/zLm64TQE4DVu5UsWFhYflup2PHjvL7f/75x+66AowhAO86Nzzpuu1JdQFsxxBmvXr1woULFzBhwgQ0atQI/v7+8PPzQ9OmTfH555/jyJEjFuWtzcddGIwhiKggHtk4GxMTg0WLFiE8PBw9e/bEM888Y7E8NTUV58+fx+XLlx3a7uOPPw4A+L//+79C1808EbF5W0T20Gq1aNy4MebNmyefQ2lpaXjzzTddWo+bN2/K6Y0K+2rYsKHD+61cubLcOaKgm8Dcaf0aNGjglv0kJSXJDa0tWrSwGUS1bNlSfn/u3DmH6luuXDkAgMFgQHJycr7l2rRpA5VKBQDYt2+fwzn9PZk3nRuuqqs9XFUX87pHjx6Fj48PJEnK89q7dy+AnO8X82edOnVy6jaKInf6IPPfHJG3YRzhPdcKRyiVSjndWWFGozCO8K5zoyTGEY546qmnAAC3b99GXFxcnv0zjiAqHMYQ3nOdAHIacOrXry//39YIPnMMAeRkGXAEYwjvOjc86brtSXUxyy+GyK1q1ar44osvcPbsWaSlpSE9PR2nTp3C+++/D41GIz/PK1WqlMXfYFEwhiCignhc4+zMmTNRs2ZNvPvuu/juu++wdetW7Nmzx6JMWloannjiCTRs2BC3bt2ye9vDhw+HEAJr1qzB8OHDHRpBGx0djfDwcKxZswaSJBUqhSkRkDNPQps2bQAAf/75Z4lJKfTkk08CyBkZkpWVlW+5gwcPAgBq1apVqFQizthP7tQrjsyh4ei8FOXLl5ff25p/ws/PDz169AAAXL9+Hdu3b3doP57Om84NV9XVHp5UF08WHx8PAPDx8bF4gEHkrRhHeP61wl7Z2dnyd1RhtsE4Ioc3nRuedO32pLoAOQ0EnohxBD1KGEN4/nUCAFq1aiW/N38HWZO7EcrW1HDWMIbI4U3nhiddtz2pLkDRYwiDwSB/H3bv3t1po1wZQxBRQTyqcXbcuHGYOnUqMjMz4efnh+bNm1stV6lSJfTs2RMmkwnr16+3e/vDhw/HM888IzfQ1qhRA507d8aUKVMQGRmJzZs3Y9euXdi9ezc2b96MlStXYurUqejSpQtq1Kgh57Hv0qULhg0b5pRjppJHkiR88cUX8v/N6XNdoUaNGnJ6o8K+bty4Uah99+3bFwCg0+mwceNGq2Xu3r2Lv/76y6K8O/YTEhICtVoNADh+/LjN3qFHjx6V34eGhjpU18aNG8vvr1y5YrPsxIkT5ffvvPOO3SmdDAYDLl265FC9XM2bzg1X1dUerqjL3LlzcfLkSZsv841ZpUqV5M+WLVvm1G0Uhflvq1GjRkwlRI8ExhGef62w1+bNm+UHWvnd99jCOCKHN50bJS2OcIR59GtwcLBF6kPGEUTOwxjC868TANC/f3/5/e7du/PdX+6BLI7GEYwhcnjTueFJ121PqguQfwxhr9WrV8udHZyZVYAxBBEVSHiIffv2CUmShEKhEB9++KHIyMgQqamp8mcPW758uZAkSTz33HMO7ScjI0O8+OKLQpIkedv2vMzlBw4cKDIyMpx12ORBzp49KwDIr7Nnzzq8jcjISHn93bt32yzbu3dvueyff/5ZyFp7j4SEBBEcHCwAiLp164r09PQ8ZYYOHSoACKVSKS5duuTW/XTr1k3+/SxbtsxqmTt37oiQkBABQJQvX14YDAaH6qrT6YSvr68AID799NMCy7/33ntynTp06CBiY2Ntlo+KihLt27cXc+fOtfjckfO0KMLDwwUAERYWZrOcN50brqqrPTylLmFhYQKACA0Nddk2rl+/Lp/DkZGRNsua/0bffffdQtePyB6MI4qXN10rhBDi1q1bNvdz8+ZNUb16dQFAqNVqcf36dYfryjgihzedG55y7XZlXc6fP19gmfnz58vn1CuvvOLwPhhHkLdjDFG8vOk6IYQQBoNBNG7cWAAQ9erVEykpKXnKnD17Vmi1WgFA1K5dm88iHsIYgjGEvU6cOCEfy4ABAwoszxiiZNHr9eL8+fMWL71e7+5qkZN4wu/XYxpnBw8eLCRJEsOGDZM/S0tLy7dx9tSpU0KSJPHYY48Van+7d+8W/fv3F/7+/nLDa34vf39/0b9//2INHMj9XH1DdPr0aSFJkgAg2rVrV8hae5dFixbJP5+WLVuKXbt2idjYWHH69Gk5cAMgPvjgg3y3kTsQCg8PL7b9HDhwQPj4+AgAwsfHR4wfP16cOnVKJCYmips3b4oVK1aIqlWryttavHhxoX4mTz/9tAAgevXqVWDZ7Oxs8cILL8j7DAoKEh988IHYs2ePuH37tkhISBBRUVFi7dq1YtCgQXL9C3NDFBoaWuQGN3tviITwrnPDGdsQwjk/46LWxZ6fWUE8uXH28uXLcrn169cXun5E9mAcUfy86VpRtmxZ8fzzz4sVK1aI06dPi5iYGJGQkCBOnz4tZs2aJcqUKSNvZ8aMGYX+mTCOyOFN50ZJiyNq1KghwsLCxMKFC8WRI0dEdHS0SEpKEjdu3BAbN24Uzz//vLyNihUriujoaIePg3EEeTvGEMXPm64TQgixd+9eoVKpBADRtGlT8fvvv4uYmBhx584dsWzZMlGuXDkBQCgUCrF58+ZC/UwYQ+TwpnODMUThYojGjRuLKVOmiEOHDokHDx6I2NhYcfToUfHhhx/KnRQaNGhQYKeDh+vNGOLR5wmNd1R8POH36zGNs9WqVRMKhUL8/fff8me2GmdjYmLkhtOi0Ol04uTJk2Lt2rViwYIFYubMmWLmzJliwYIF4vvvvxcnTpwQOp2uSPsg7+DqGyIhhBgyZIhcfvv27YWotfeZOHGifCNo7TVs2DBhNBrzXd/exqSi7kcIIdasWSP8/f3z3Yb5Zmjq1KmF/XGIJUuWCAAiICDAam/Dh5lMJvHZZ5+JUqVK2ayX+dW1a9c8vRQ98YZICO86N5yxDWf8jItal0e9cdbci7ZUqVJ2/X0RFQXjCNfwlmuFPddplUpVpIZZIRhH5OYt54aztuEtcYS5ngW9mjdvLi5evFioY2AcQd6OMYRreNN1Qggh1q5dK/z8/PLdjkajEStXrizMj0IIwRgiN286NxhDOB5DFPRcr1OnTuL+/ft2HTNjiJLFExrvqPh4wu/XYxpnNRqNUCgUIjExUf7MVuNsYmKikCRJqNVqF9aSHmXuuCG6fPmyUCqVAoBo3759IWrtnfbs2SNefPFFUaVKFaFWq0WFChVEr169xMaNGwtc15HGpKLsx+zWrVvio48+Eq1btxalS5cWPj4+IiAgQDRq1Ei88cYb4uTJk3Zvy5rU1FQRGBgoAIhvv/3W7vUSEhLEwoULRZ8+fUSNGjVEQECAUKlUonz58qJ9+/biww8/FKdPn7a6rqfeEAnhXedGUbah0+nkG+0hQ4bYvU9n1+VRb5xt0aKFAJhGiFyDcYTreMO14pdffhHjx48X7du3FzVq1BCBgYFCpVKJkJAQ0bZtWzF58mRx7do1ew85X4wjLHnDueGMbXhTHHHixAnxxRdfiOeee07Ur19flClTRvj4+IigoCDRsGFDMWzYMLFp0yaHU3LmxjiCvB1jCNfxpuuEEEJcvXpVvPvuu6Ju3brCz89P+Pn5iQYNGoh33323yHEEYwhL3nRuMIZwLIZYvny5GDx4sKhTp44ICgoSGo1GVK9eXQwYMED88ssvDh0vY4iSxRMa76j4eMLvVxJCCHiAMmXKIDk5GXfv3kXFihUBAOnp6QgMDIQkSTAajRblo6Ki0LBhQ5QvXx737993R5XpEXPu3Dk0btxY/v/Zs2fRqFEjN9aISoq33noLX3/9Nbp164Zt27a5uzpOM2LECKxatQphYWHYs2ePu6vjUbZv345u3bpBrVYjKioKNWvWdHeVvMqNGzfkn1lkZCRGjBiRp0xUVBQaNGgAADh//rz8nqi4MI4gd2EcUfIwjigaxhHkaRhDkLswhih5GEMUDWOIksVgMODy5csWn9WpUwdKpdJNNSJn8oTfr8JleyqA+Yvt+PHjdpXfvXs3APALjoi83gcffABfX1/s2LED586dc3d1yAW2bt0KIOdmmDdDxWPu3LkAgIEDBzJWIKJHGuOIkodxRPFjHEFEJQFjiJKHMUTxYwxBRPbymMbZrl27QgiBhQsXFlg2PT0dX375JSRJQvfu3V1QOyKi4hMaGorx48fDZDIhIiLC3dVxur1790KSJPlFwLZt2xAcHIwpU6a4uypeY+PGjfI5VNBN5PXr1xEZGQmNRoPZs2e7qIZERO7BOKLkYRzhOMYRRER5MYYoeRhDOI4xBBEVF49pnH3nnXfg6+uL7du347333oNer7da7vbt2+jduzeuXbuGgIAAvPrqqw7vKzY2FuPGjUOdOnXg5+eHihUr4oUXXsDevXsLXDc9PR0KhYLD14nIqSZNmoSKFSvil19+wenTp91dHSpmZ8+eRWJiIsqUKePuqjySpk+fDr1ej7Fjx6JGjRrurg4RUbFjHFGyMI4oXowjiKgkYQxRsjCGKF6MIagkyd35RZIkKBQKBAcHo0OHDli2bBnMs6lOmzYtT9mCXitXrnTvwbmIx8w5CwArVqzAK6+8AkmSEBISgo4dO2L9+vWQJAmjRo3ClStXcOjQIbnhds2aNRg8eLBD+zh79iy6dOmC2NhYAJBPEnMPqiFDhmDJkiUICAiwur6teXDJu3GeFyLnysrKstrRJr/vVyJbjEYjMjMz83zu6+vLDlPkERhHEDkX4whyJsYR5MkYQxA5F2MIcibGECWX43OSLi3+ShWZ4wMd82NuTwsPDweQ87dy9epVHD58GEIIDB48GGvXrsXGjRuxceNGi3XT0tKwfv16i/Vze+WVV9C+fXun1dUaT5hz1qMaZwFg9erVeOutt5Cenm415YQQAlqtFosXL8bw4cMd2rZOp0OTJk1w5coVAEDp0qVRr149PHjwANevXweQc1LVq1cP27dvR5UqVfJsg42zjy7eEBEREVFhMY4gIiKiwmAMQURE5HnYOGubue3u4ebF7du3o2fPnjAYDPjtt9/Qu3fvPOveuHFDThPuruZJT2ic9Zi0xmbDhw/H9evXMX36dLRr1w5ly5aFj48PgoOD8eSTT+Kjjz7C1atXHW6YBYBVq1bhypUrkCQJ06ZNw4MHD3Dw4EFcvXoVf//9N9q1awchBC5evIgOHTrIDbZEREREREREREREREREZF3Xrl0xbNgwAMgzYpYseVzjLACEhIRgypQp2LdvH2JiYpCdnY34+Hj8/fff+PTTT1GxYsVCbXfDhg2QJAnh4eH4+OOPLVrBW7Rogf3792Py5MkQQuDmzZsICwuTR9kSERERERERERERERERkXVPPPEEAOD27dturoln88jG2eJintj+zTffzLfMjBkzsHr1avj4+ODu3bsICwtDVFSUq6pIRERERERERERERERE5HVSU1MBABqNxs018Wxe1zgbExODrKysQq2bkJAAAKhdu7bNci+//DJ++eUXqNVqREdHIywsDGfPni3UPomIiIiIiIiIHhXXrl3Djz/+iPfffx9PP/00goKCIEkSJEnCypUr7dpGjRo15HVsvd5+++18t5GUlIT33nsP1apVg0ajQe3atTF9+vQCnxmlpaWhevXqUCqVOHXqlANHTkRERES2CCHw+++/AwCaNGni5tp4No9pnE1MTMSvv/6KP/74w+ryRYsWoVy5cqhUqRICAwMxePBgubHVXmq1GgCQnp5eYNnevXvjt99+g5+fH2JjY/H000/LI2+JiIiIvB0frBIREVFhPPbYYxg0aBC++OIL7NmzRx4d4UoZGRkICwvDggULcOfOHWRnZ+Pq1auIiIhA//79IYTId92IiAjcvn0b7777Lpo1a+a6ShMRERE9ooxGIy5fvoxRo0bh0KFD0Gg0GDlypLur5dE8pnF27dq16NevHxYvXpxn2bp16/DOO+8gPj4eQggYDAb89NNP6NWrl82A+2HVqlUDAJw/f96u8l26dMEff/yBgIAAxMfH45lnnsHRo0ft3l9x40NVIiIiKiw+WCUiIqKiKFOmDLp27YqBAwcWehtDhw5Fampqvq85c+ZYXW/27Nk4c+YMgoODsX79ety5cwfffPMN1Go1Nm/ejNWrV1td78yZM1iwYAGqVq2K6dOnF7reRERERAS5/UipVKJu3bpYuXIlAgMDsXbtWjz22GPurp5H85jG2e3btwMA+vfvn2dZREQEAKBq1ar4+OOPMWTIEAgh8Pfff+P777+3ex9Nmza12Jc9wsLCsHXrVgQFBSExMRF9+vSxe93ixoeqnuujjz7Kt6E7MDAQTZs2xeTJkxEbG5vvNpKSklChQgUoFAqnjtqeNm2aXBfyDHv37sWgQYPkDg6VKlVC79698euvv9pcb9SoUZAkCRMnTnRRTZ2nsMdsi9FoxK5duzBx4kSEhYWhQoUKUKvVCAoKQqNGjfDGG2843BHk2LFjeOutt9CgQQMEBQUhICAAtWvXxnPPPYcvv/wSKSkpha4vkafgg1XPwziCHME4wjlxREFMJhPatWsnn/81atTIt2xCQgKWLVuG119/Ha1bt0ZoaCgCAgLg6+uLKlWqoFevXlixYgX0en2x1ZeoOK1btw5Xr15FfHw8/vzzT7zxxhuF3pZSqURAQEC+L3MGtIeZY4T//ve/6N+/P6pUqYJXX30Vb731FgBg1apVedYRQuD111+HwWDA/PnzERAQUOh6eyrGEOQIxhDFG0MU5nlCp06d7BpEk/tFRORO4eHhCA8Px8iRI/Hee+9h2bJluHnzJvr16+fuqnk+4SHq168vFAqFOHPmjMXnJ0+eFJIkCaVSKS5fvix/PmbMGCFJkujTp4/d+1iyZImQJElUqlRJGAwGh+r3999/izJlygiFQiEkSRIKhcKh9YsDAAFAlClTRnTt2lUMHDhQ/iwyMtKubYSGhgoAYujQoSI1NTXfV1ZWltX1P/74YwFABAcHi/Xr14s7d+6Ib775RqjVagFArFy50up6p0+fFkqlUlStWlWkpqYW9kfgVGfPnpV/fgDE2bNnC72tHj16WGwrv1fFihXFxYsXrW7j7bffFgDEiy++WOh6WBMRESHvn9xv0qRJQpKkfM+RYcOGCaPRaHXda9euCZVKJTQajbh+/bprK14ERTlmW5544okC/+YkSRIffPCBMJlMNrel1+vFG2+8YbOeAMTJkycL+VMgcr9169aJq1evyv/fvXt3oeOI8PDwQtWhRo0aAoBYtGiRxefjxo0TAMTTTz+dZx2TySTatGkjAIj169cXar/FgXEEuQPjCOfFEQWZP3++xX5CQ0PzLbtlyxa7/oYbNmxo8T1M5K1cHUMkJyfL+7t165bFsr1798rPSR62ZMkSAUD06tXL4X0WJ8YQ5A6MIYovhijK84SwsDC7/obNryZNmhS5vkRknV6vF+fPn7d46fV6G2t84wUv5ynKNf369etujwkc//06n8eMnI2LiwMAVK5c2eLzPXv2AAA6duyI2rVry5+PHj0aABwaBdWnTx9IkoQHDx5g+fLlDtWvZcuW2LVrF0JCQhxarzixt6rnOnnyJICc8zb3yKGYmBjs2rULTz31FADg/v37GDVqVJ71r169im+++QYKhQLTpk1zZdXJhb7++mvMmjULQgi0aNECO3bsQExMDE6ePImXXnoJAPDtt99i0qRJVtevWbMmRo0ahaysLHz44YeurHqhFfWYbUlJSYEkSejcuTOWLFmCM2fOIC4uDjdv3kRkZCSqVasGIQQ+//xzm39XJpMJgwYNwuLFiyGEwKBBg/Dnn3/i7t27iIuLw8mTJzFnzhw0b96cvVTJqw0cOBC1atVy2/5TUlJw48YNAMiTmaRv374AYHW0xtKlS3Ho0CH06tXLasaVRwHjCLIH4wjnxhG23LhxA5MnT4ZKpZKnyrFFqVSiffv2+OSTT/D777/j9OnTiImJwY0bN7Br1y4MHToUkiTh/Pnz6N69OzIzM51aX6JHXe7RZuXLl7dYVqFChTxlACAmJgaTJk2Cn58fvvrqq+KvpJswhiB7MIYovhiiqM8TtmzZYjMjUWpqKhYsWCCX53yORERezKVNwTaoVCqhUChEfHy8xecDBgwQCoVCzJw50+Lz+/fvC0mShK+vr0P72bhxo/juu+/E9u3bC1XPixcvimnTpolp06YVav3ixN6qReOs3qrR0dHyNt59912rZZKTk0WlSpXkcjdu3LBYPmrUKAFAdO/evVB1sIW9VT1DQkKCCA4OFgBEnTp1RFpaWp4yQ4YMEQDyZA7I7cKFC/Lv8/z588Vd7SJx1jHn54MPPrD5M7h37578d6dWq8X9+/etlps3b578M12xYoVDdSDyZq6OI27fvi3vT6fTWSyLioqSvwtye/DggShdurTw8/PzuF76jCPIlRhHOD+OsKVLly4CgJgyZYo8osXWyFl7zJw5U/7Zr1q1yjkVJXITZ8QQer3e7hFruZ9F3Llzx2LZ/v37rT6LePnllwUA8dlnn9m1D1diDEGuxBiieGMIVzxPaNu2rQAgVCqViImJKZZ9EBFHzhakKNd0jpzN4TEjZ82jJ+/fv2/x+f79+wFA7t1nplKpLP611/PPP4+hQ4eiS5cuhapn3bp1ERERIc+DW5Kxt6p15p6qANCkSROrZYKCgtCtWzf5/5cuXZLfx8TEYM2aNQCAYcOGFVMtKTExET/++CN0Op1b9v/tt98iKSkJADB9+nT4+/vnKfP555/Dx8cHBoMBixcvtrqd+vXro0WLFgCAJUuWFFt9ncFZx5yf2bNno0GDBvkur1SpEiZMmAAAyM7Oxp9//pmnTEpKCqZMmQIAGD58OHuhEjnIYDDAZDLZVTYoKEh+b86gYmaeBy13GQCYMGECEhMT8fHHH9uc79GbMY7wDowjXK+444j8LF++HDt27EDdunXlGMEZXn31Vfn9sWPHnLZdIm/z559/onr16lCr1VAqlahYsSL69euHX3/9FUIIq+sEBQUhNDQUALB161aLZZs3bwZgeQ3dvXs3vvvuOzRu3Bjjx48vpiPJERMTg3Pnzjn0unLlilP2zRjCOzCGcD1XxRCueJ5w+fJlHDx4EADQu3dvlCtXzun7ICIi1/CYxtm6desC+DeQBnImaY+JiYFSqUTr1q0typsbcc2NgOQcfKhadCdOnJDf53dDBORt0DZbs2YNsrKyEBgYKKd1tObixYt466230KhRIzn1dKVKldCkSROMHDkS33//PYxGY6GOISUlBTNnzkTr1q1RpkwZaDQaVKlSBf369cOmTZtsrjtt2jRIkiSnZ7lz5w7ee+891K5dG1qtFiEhIejZs2eem2hrhBD46aef0L9/f1StWhW+vr4IDg5Gy5Yt8d///jdP478jkpOTMWjQIFSoUAEjR47Ezp077T73ncH8c9RoNPlOkF61alW0a9cOALBx48Z8tzV8+HAAOWnGMzIynFtRJ3LmMRdW48aN5fd3797Ns3zNmjVIS0sDALkhl4gK9qg9WHUnxhGMI+zBOMI1cUR0dDT+85//QJIkLF26FBqNpsjbNMs9bYwzt0vkbaKjo3H79m0IISCEwIMHD7Bx40Y8//zz6NWrl9yg8rChQ4cCACZPnowdO3YgJSUF69atw/z58wEAL7/8MoCcTplvvPEGJEnC4sWLHe7g76ivv/4ajRs3duhl63rtCMYQjCHswRii+GIIVzxPiIyMlN+zMzkRkZdz6ThdGz755BMhSZLw9/cXCxYsEOvXrxd16tQRCoXCavrbb7/9VkiSJDp37uyG2nqmoqQSqlSpkqhWrZqQJElIkiQqVKgg+vbtKzZt2iRMJlOB6y9btszi80mTJgkAolOnTvJnu3btEgBE48aNRXZ2dqGO0V4PHjwQZ8+edei1ceNGp6QSeuGFFwQAoVAoRHp6er7lBg8eLO/rn3/+kT/v0KGDACB69+6d77o//fSTUKlUFvW19kpMTMyzbkGphP7++29RoUIFm9vt06dPvseWe/vHjx8XISEh+W5nwoQJ+R7jgwcPRLt27WzWo0qVKuLUqVP5bsOWO3fu5PkZVq5cWUyYMEGcOHGiUNt0RFBQkAAg2rRpY7PcxIkTbf4+hRDiypUrcpn169cXQ23zl5qaandZZx5zYa1atUre9qJFi/Is79Wrl/ydmJvJZHJ5agsiVytKHGHr1aNHj3z/lidPniwAiPLly4vt27eL5ORk8cMPPwg/Pz+L+CIrK0vUq1dPSJIk9u/f76Qjzh/jCMYRBWEc4RyeHkc8//zzAoAYPXq0/Jmz0hp/8803cj1//PHHIm2LyN0KE0P07NlTzJ49Wxw6dEjcvXtXZGdni3v37okffvhBNGvWTN7e008/bTXdcUpKimjQoIHV7/cuXbrI60yfPl0AEKNGjZLX1el0Yvny5WLMmDFi1KhRYv78+SI5OdkpP4vc17HCvhhDMIYoTowh8lfUGKK4nycYjUZRpUoVAUBUrFiRzyiIipknpL31ZLau6QVhWuMcHtM4m5iYKCpVqiQkSRIKhUIoFAohSZJQKpXi4MGDecoPGjRIKBQKMXXq1CLt96+//hLz588Xr7/+uhgwYIDo3r276N69uxgwYIB47bXXxLx588Rff/1ls4HSU/Ch6r/ceUNUq1YtAeTMY5GfzMxMUa5cOQFAhISEyDeOmZmZQqPRCABixowZVtdNSkoSgYGBAoCoWbOmWLlypbh8+bJISEgQ0dHR4sCBA+Kzzz4TzZo1c/iG6ObNm6J06dICgNBqtWLGjBni0qVLIi4uTuzfv1/06dNHXveFF16wWr/c269Zs6YoW7asWLJkibh586Z48OCB+PXXX0Xjxo3lMtYayNLT0+UyQUFB4r///a84c+aMSEhIEDdv3hTLli0TlStXlm9iHjx4kO/P2pb4+HixZMkS0bFjRyFJksXvv2HDhuK///1vnjl4nOHevXvyfl5++WWbZZcuXSqXtfZdaGY+n9555x2H6xMfHy9mzpwp2rVrJypXrixq1aolunfvLr766itx7969fNf7448/RLt27ezaR3Ecc2GYb5YAWL2ZLl++vPxARwghVqxYIVq1aiX/XZYrV04MGDBAHDhwwKn1IvIEfLD6L8YRjCPswTgix6MaR/zwww8CgKhQoYJISEiQPy9K42xSUpI4deqUmDBhgvxgvk2bNnbPs0nkqQoTQ9iSlZVlcc349ttvrZaLi4sTb731lqhcubJQqVSiVq1aYurUqSIzM1MIkdNw5OvrK0JCQkRcXJwQIqdhrH79+nmu25UrVxbnzp0rct0ZQzCGsAdjiByPWgxR3M8Ttm7dKtfv/fffL9Q2iMh+ntB4R8XHE36/HtM4K4QQUVFRcmAiSZKoWbOm+PXXX/OUi4uLE1qtVigUCrF7926H95Oeni4++eQTUbFiRbkhuKBXhQoVxCeffGJ10nhPwYeq/3LXDVFSUpIcWOd3wyCEEOPGjZP3k7uDQe7f4fbt262u++uvv8plTp486XAdbd0QDRw4UAAQkiRZ3b/JZBIvvfSSvP7mzZttbl+r1Vr0xDVLSkoS9erVk294UlJSLJa///77AoAoU6aMiIqKsnoct27dknvCvvfee3Yeff5u374tPv/8c4vz3vyz6NChg1iyZImIj48v8n6EEOL06dPy9m312BVCiE2bNsllrX0fmplvVh9//HG762EymcTXX38t32BbeymVStGlSxfx1VdfiX379onjx4+LVatWiS5duggA4rHHHnPbMTvqzz//lLfboUOHPMszMzMtbvgHDBhg8zsiIiLCaXUj8gR8sPovxhH5YxxhHeOIRyuOiIuLkx82//DDDxbLHG2cnTVrltWfjVqtFiNGjHBo5A+Rp3J2DCFEzuhFrVYrAIhnn322UNt49tln89TpmWeeEUBOJ/Rr166Ju3fvipEjRwoAokGDBsJgMBS53u7IvsEYgjGEPRhDFF8M4YrnCYMGDZLXP3/+vMPrE5FjPKHxjoqPJ/x+Papx1iwlJcVm+oi4uDixZ88esWfPHod/YJcuXZLTJZsbgc2jdcuUKSOqVKkiqlatKsqWLWu1TN26dcWVK1eKeITFgw9V/+Wuh6p79uyR1//kk08sliUnJ4s9e/aIvn37ymWaN29u0eC/cOFCedm1a9es7uOXX36Ry8TGxjpcx/xuiGJjY4WPj48AIIYMGZLv+vHx8fLI6L59+9rcvq3AN/cN6P/+9z/584yMDBEQECAAiC+++MLmsUybNk0AEGXLlnXq6PYLFy6IqVOnitq1a+d5iPb888+Ln376ST6/C+PAgQPyNj/66CObZXM3KH7//ff5ljPfZPv4+Nj9szCnkJAkSfTu3Vv873//E1u3bhUrV64Ur7/+uqhYsaLNv5GKFSuKjRs3uu2YHXH79m05RZZGo7E6ajY6Otridw1AtGrVSuzevVtkZGSIxMREsXbtWjmNkDMfPhF5Aj5Y/RfjiPwxjigY4wjvjyOGDh0qAFidXsdZjbMvvvii0zOEELlLccQQQvx7vS9XrpzD65pHv3fs2FH+7J9//hEAhL+/v8WIeL1eL6pWrSoAiN9//90pdXfE2bNnGUMwhhBCMIbw5hiiuJ8nJCQkyCNwW7du7VDdiKhwPKHxjoqPJ/x+PbJxtrikpaWJWrVqyY2tzz77rIiMjBQXL160Ogdqdna2uHTpkli5cqXo0aOHvF7t2rU9cgQtH6pa1tsdvVXnzJlj90PbXr165bmh+fjjj+Xl+Y0ivnbtmtwjtkePHvn25sxPfjdEuXsIbtiwweY2+vXrJ4Cc3qS2tm/rgZNer5fPreHDh8uf79ixQ17/2LFjIjU1Nd/X+vXr5bLF1WniyJEj4r333hOVKlWy+P2VKlVKjB07tlDbzH1zMGXKFJtlt2/fbtfNwaeffiqXM3eCKMj169dFs2bN8u31bDQaxe7du8Xbb78tGjZsKPz8/ERQUJBo06aN+OKLLxwa6VEcx2yvlJQU0bx5c3mbS5YssVru7t27Fr/jxo0bi4yMjDzlLl26JPz9/QWQM5dMVlZWketI5An4YPVfjCPyxzjCMYwjvC+O+P333wUAERAQIG7evJlnuaONs9nZ2fI5d//+fbFnzx4xevRo+e/www8/ZFpj8nrFFUOYR0qqVCqH1ktOThaVKlUSKpXKovP3kiVLBPBvytHcRo0aJQCIyZMnF7nejnJG4yxjCMYQ9mAMUXwxRHE/T1i0aFGBzzSIyLk8ofGOio8n/H6VKEHmz5+P69evIyAgAD///DO6detms7xKpUKdOnVQp04dhIeHY/v27XjhhRdw7do1LFy4EBMnTnRRzd2nfPnyaNu2LXbu3IkTJ044vP66deuwbds2dOzYESNGjAAAnD17Fjt37oS/vz/WrFmD0qVLAwCWLl2K7du348KFC9i6dSt69epVpHqXL1++0OsX1smTJ/NdptFoEBoairZt2yI8PBydOnXKUyY2NhYAoFQqERQUZHU7NWvWxPjx4/Hll19iy5Yt2LJlC+rUqYP27dujffv26NKlC6pXr+5w3a9fvy6/b9y4sc2yjz/+ODZs2ICEhASkpKTkW9eGDRvmuw2lUom6devi9OnTFvuOioqS37do0cLe6iM2NhaPPfaY3eXt1apVK7Rq1Qpz5szBpk2b8NZbbyE6OhrJycnYsGED5s6d6/A2AwIC5PeZmZk2y+Zennu9h5UtW1Z+HxMTY/H//FSsWBGHDx+GRqOxulyhUKBTp05Wz1VHFccx20On0+G5556Tv78iIiLw2muvWS0bGBho8f8pU6ZAq9XmKVenTh2MGDECixYtQnR0NA4dOoSwsLAi1ZPoUVahQgUAQFJSkkPrpaSkYNy4cVCpVFi8eLH8+YEDBwAAbdq0kWMIIOe60q1bN6xYsQIHDx5kHME4gnEEGEc4GkekpKTg9ddfBwDMmDGjUH8LD1OpVFCpVHJ9KlSogLCwMHTu3BlDhw7F7NmzUbFiRYwdO7bI+yJ61ERHRwOAxfXeHh999BGio6MxadIki2tJXFwcACAkJCTPOubrvvla6m0YQ1hiDGEdY4jiiyGK+3nCypUrAQBarRaDBw92qG5EROSZFO6ugCutX78ekiRh9uzZBTbMWtO1a1d89tlnEELgp59+KoYaeiZXP1QFgIMHDxax1u5hviGqXr06UlNT5VdmZiZ0Oh0uXryIyMjIfANMSZLs2s8XX3yBVatW4YknngAAXL58GZGRkRg9ejRCQ0PRuXNnHD9+3KG6p6amyu8fDioflnt57vUeVlAwa16eexuOnmdmOp2uUOsVJCsrCxs2bMDgwYMxdOhQ+QEBgELfgOV+GBATE2Oz7IMHD+T3tm5yhBDye3vPI19f33xvhpytOI65INnZ2ejfvz/27NkDAPjggw8wbdq0fMsHBATA19dX/r+tG6SOHTvK7//5559C15GoJCjqg9X//Oc/Je7BKuOIHIwjrGMcUXxxxLRp03Dnzh20bNkS77zzjmOVdNBLL72EDh06AADmzJlTrPsi8kb379+Xnws0b97c7vWOHz+Or7/+GjVr1sTUqVMtlpkbSqx9j5i/O6w1pngDxhCWGENYxxii+GKI4nyecO7cORw9ehQA0L9/f5QqVcqhuhERkWfyyJGz+/fvx59//omLFy8iKSkJBoMh37KSJGHnzp12bffq1asAgOeff77QdXv++efx9ttvy9sqCdhb1T46nU7uadm8efNCjfgrV64cAMBgMCA5OdlmwDV8+HAMHz4c9+/fx6FDh3Dw4EFs2bIF586dw+7du9GuXTvs378fLVu2tGvfD9/kmBvlrbH35iktLc3mMaSlpeXZRu73t27dQrVq1WxXvBgYjUbs2rULa9euxS+//ILk5GR5WdWqVTFkyBC8/PLLaNKkSaG2X7lyZQQFBSElJaXA75Jr167J7xs0aJBvuYSEBPm9+TwqyI0bN1CzZk27yubnsccew5UrVwosVxzHbIvBYMDAgQOxZcsWAMDYsWMxe/Zsm+tIkoT69evj1KlTAGx/55UpU0Z+n5KSUqg6EpUEfLBqP8YReTGOsI5xRPHFEeZ1jx49Ch8fH5tlb968KT+EDgsLkzuDOeKpp57C/v37cfv2bcTFxVm9PyJ6FN25cwdVq1bNd7lOp8PIkSORlZUFABg2bJhd2zWZTHjttddgMpmwaNGiPPFAo0aNAACHDh2y+JvT6/XYtm2bRRlvwhgiL8YQ1jGGKL4YojifJ0RGRsrvR44c6VC9iIjIc3lU4+zdu3cxZMgQeWSlmRAiT+8rc88se3tlATlBjrOYTCanbcuT8aGq/f755x+5I4EjP6vccqdQTEhIsKs3XMWKFdGvXz/069cP//d//4dff/0VL7zwArKysjBz5kxs2LDBrn3nDozPnTuH2rVr51v27NmzAHICyvzSCAHA+fPn0aZNG6vLDAYDLl26lGffuXuAXrlyxaU3RIcPH8b333+PH3/80aLHZHBwMF544QUMHToUnTp1cuh7Jz9PPvkkdu/ejRMnTiArKyvfXqPmv79atWrZDO7j4+MBAD4+PhaBvidx9jHnx2g04qWXXsKmTZsAAG+++abdKZ9atWol30zFx8ejcuXKVsuZO5kAOecHUUnEB6vOxTgiL8YR+WMcUXxxhCvZ6oRM5MmuXr1q0aH6/PnzFssOHz4s/z8oKChPitm3334b9+/fx8CBA/HUU0+hZs2a8PPzQ1xcHPbt24cvvvhC3mbXrl0xZMgQu+q1aNEiHD9+HAMGDECPHj3yLH/66adRsWJF3L9/Hy+++CIWLFgAX19ffPzxx7h37x60Wi369+/v0M/CEzCGyIsxRP4YQxRfDFEczxMMBgO+++47AJBHpxORa1j7zi0pbUIlQe7MD2bOuM46wmMaZzMzM/Hss8/i/Pnz8PHxQfPmzXH06FFIkoR27dohNTUVly5dgk6ngyRJqFGjBkJDQx3aR2hoKC5cuIBff/1VnkvIUb/99pu8LW/Hh6rOlXtO3sLeEOWeX+XKlSuF6kn43HPPoW3btti3bx8uXLhg93pt27aFj48PjEYjfvzxx3xHmCclJWHr1q0ALFOxWLN+/fp8b4j++OMPeT4Pc0o38zZ9fX2h0+mwdu1aPP3003YfQ2GcPXsW33//PX744QeL+WbUajV69uyJl19+Gb1793Z6yp2+ffti9+7d0Ol02LhxIwYNGpSnzN27d/HXX3/J5W0x9xht1KiR3ReSKlWqOHSOWKNWq+0u6+xjtsZkMiE8PFxOPf/KK6/gq6++snv9/v37Y+nSpQCA3bt3Y+jQoVbL5R4dU9i/dyJ344NVz8I4Ii/GEfljHFE8ccTcuXNtToEA5MQWx48fR6VKlbB582YAjs9LZ7Z3714AOQ9mizKVA5Grffrpp1i1apXVZTNmzMCMGTPk/+c3svzIkSM4cuSIzf0MHDgQy5cvt+t7KTo6GlOmTEFgYCDmz59vtYxarcbSpUvlqU8eHn04b948rxzBzhgiL8YQ+WMMUTwxBFA8zxO2bNkiN9iHh4e7vOGAqCRTKBSQJMmiES8tLc1jO6KQYx6eh1ySJCgULp4FVniIBQsWCEmSRNmyZcXZs2eFEEJIkiQUCoVIT08XQgiRnZ0tvvvuO1G1alURGBgoNm3a5NA+Jk6cKCRJEoGBgWLHjh0O13Hnzp0iMDBQKBQKMXnyZIfXd7YrV66IQ4cOya9FixYJAAKAmDJlisWyc+fO5Vn/+eefF61btxZffvmlOHDggLh3755ISkoSV65cEStWrBANGzaUt9e1a1dhMpnsqteCBQsEADFgwACry7OyskTFihUFANGpUydx5swZcenSJTF48GABQGi1WhEbG1ukn01hnD17Vj5eAPJ5aK/XXntNXvfu3buFqoNOpxO+vr4CgPj000+tlrl69arQ6XT5biMrK0uEhoYKAKJt27Z5lkdERMj1fNigQYMEAKFQKMSuXbusbn/YsGHy+lu2bLG5fa1WK/755588ZZKTk0X9+vUFABEYGChSUlIslo8dO1YAED4+PmLDhg35HqsQQphMJnHx4kWbZayJjY0VjRs3tvidS5IkOnbsKL755huRkJDg8DYdkZCQIIKDgwUAUbduXfl7LrehQ4cKAEKpVIpLly7Z3F5ISIgAIN59993iqnKROfuYH2YymcTo0aPl32d4eLjd31tmBoNBPi/q1auX59wUIue7QqvVCgCidu3awmAwOLQPIk8RHh5u8R1o6xUWFpZn/eeff96udQcOHChSU1PtqtO9e/dEUFCQCAwMtHkt/fXXX4VSqbS6v2+++aawP5IiYRzBOIJxRPEq7jjCXmFhYQKACA0NzbfM+fPnC9zO/Pnz5XPnlVdecWINiYpfUWOII0eOiGnTpokePXqIOnXqiNKlSwsfHx9RqlQp8fjjj4vXXntNHDhwwKE6DRw4UAAQ8+bNK7Ds3r17xTPPPCMCAgKEVqsVbdq0cfj5kjMxhmAMwRiieLkqhiiO5wn9+vWTz5Fr164Vql5EVHi3b98W58+fl18XLlwQ8fHxIisrS+j1er689JWRkSEuX75s8bu9ceOGy88vj2mcffrpp4VCoRARERHyZw83zprduXNHVKtWTQQEBDgUCMXExIjy5csLhUIhFAqF6NGjh1i1apW4fPmy1YuhwWAQV65cEd9++63o2bOn8PHxEZIkifLly4uYmJhCH6uz8KGqcxX1hqhVq1YCgKhQoUKR6vH0008LAKJXr15Wl0dERIjy5cuLt956S2zatElcvXpVJCYmilu3bonNmzeLTp06ycfw1VdfWV0/vxuimzdvitKlSwsAwt/fX8yaNUtcvnxZxMfHiwMHDlicMy+88EK+9TOXqVmzpggJCRHffPONuHXrloiJiRG//fabePzxx+UyixYtyrON1NRUuYwkSSI8PFxs375d3Lt3TyQmJorr16+LrVu3ikmTJonHHnss37rYcv36dbkOjRs3FrNmzRI3b950eDtFkbtDRcuWLcWuXbtEbGysOH36tHxjAEB88MEHNrdz+fJluez69etdVPvCKeox5/69hYeHWyx799135WV9+/YVycnJIjU1Nd9XVlaW1X3s3btXqFQqAUA0bdpU/P777yImJkbcuXNHLFu2TJQrV05+cLB582Zn/4iIXIYPVp2LcQTjCMYRxa844wh72dM4W6NGDREWFiYWLlwojhw5IqKjo0VSUpK4ceOG2Lhxo8XfQsWKFUV0dHSh6kJEjwbGEIwhGEMUP1fFEM58nhAbGytv6+mnny7K4RNRISUnJ1s04PH16L7cMVjQYxpny5UrJxQKhThx4oT8mblx1lpPo8jISCFJknj99dcd2s+BAwdESEiIvG3zS6lUinLlyolq1aqJ6tWri3LlygmlUmlRRpIkERISIg4ePFjk43UGPlR1rqLcEBkMBrnnW48ePYpUjyVLlggAIiAgwGpvvtw3HLZeo0aNEkaj0eb61vz999+iQoUKNrfdp08fkZaWZnX93Ns/duyYKFOmTL7bmTBhQr4/h9jYWNGtWze7jnXIkCF2/nT/df/+ffGf//xHnDp1yuF1nck8oj+/Yxs2bJjV32Nu5pEXpUqVsnrOeJqiHLOtGyJ7vw/Nr9ydgR62du1a4efnl++6Go1GrFy50ok/FSLydowjcjCOcC3GEc6LI+xlT+OseeRYQa/mzZsXatQVET1aGEPkYAzhWowhii+GcNbzhHnz5snrrF69ujCHTERFZDQaxY0bN9zecMhX8b7yG7xZ3DxmztmkpCQAsJgDVaVSwWAwID09HYGBgRblu3btCgDYvn27Q/tp27YtTp48iSlTpuD777+HwWAAABiNRosJ2R+mVCrx0ksvYcaMGTbnaXWllStXYuXKlYVev1WrVmjVqpXzKgRg3bp1WLdunV1lO3bsiB07djh1/+4SFRUl5ykv6vyTQ4cOxfvvv4/U1FT88ssvePnlly2Wjx07Fk2aNMGuXbtw9OhR3Lt3DzExMfDx8UHVqlXRunVrjBo1qtDzo7Rs2RKXLl3CwoUL8euvv+LSpUtIT09HSEgIWrVqhREjRtg9/8aTTz6JkydP4vPPP8eWLVtw9+5d+Pv7o1WrVnjvvffQvXv3fNcNCQnBtm3bsH37dqxZswYHDhxAdHQ0srKyEBQUhFq1aqFVq1bo0aMHnn32WYePs0KFCvi///s/h9dztlmzZqF79+5YtGgRDh48iNjYWJQuXRotWrTAmDFj8p1vJ7dvv/0WQM78I35+fsVd5SJzxjEXt8GDB6NVq1aYP38+tm7dijt37gDImW+8a9euGDt2bKHmYSIisoZxhHWMIwrGOMIz44gNGzZg165d2LdvHy5duoSYmBgkJyfD398fVatWxZNPPokBAwagV69e8PHxcXd1iciLMYawjjFEwRhDFF8M4aznCZGRkQCAwMBAvPDCC06pGxE5RqFQoFq1arh9+zYyMjLcXR0qBpIkoWrVqm65L5OEyDWjsRuVKlUKaWlpuHPnDipVqgQAKF++POLj43Ho0KE8jYj3799H5cqVodVqkZ6eXqh9JiYm4o8//sCxY8cQFRWF2NhYpKWlAQACAgIQEhKC+vXro0WLFujduzdKly5dtIMkj3bu3Dk0btxY/v/Zs2fRqFGjYt+vEAJ6Y86focpHgiRJeOutt/D111+jW7du2LZtW7HXwZmmTZuGTz75BADgIV8vj7SoqCg0aNAAAHD+/Hn5PRERuZa74ghrcscRW7duzRNneDLGEa7FOIKIyP08NYbgswiyhTEEeStrz2GJCmIymZCWloaUlBSkpaXxOvMI8PHxQXBwMIKDg6FWq91SB48ZOVujRg2cPXsW9+/flxtn69Wrh4MHD2Lv3r15GmcPHz4MIGdEa2GVLl0aL7/8cp7egESuEp2iw5noZCRk6AEAZfxUaFKpFD744AOsWLECO3bswLlz59x2Y0aeb+7cuQCAgQMH8maIiIgAwCKOWPrHPgRVeQzAv3FGpSBfN9eQPAXjCCIiyo3PIshejCHIG+X3HJb3R1QQhUKBoKAgBAUFQQgBk8nEBlovplAoIEnu75yhcOvec2nTpg0A4Pr16/JnXbt2hRACX375JaKiouTPr1y5gg8++ACSJKFZs2auriqRU8SmZWHftTg5IACAhAw99l2Lg1/Zihg/fjxMJhMiIiLcWEvyZNevX0dkZCQ0Gg1mz57t7uoQEZGHCA0NxetvvwuTyYQV8z6XPzfHGbFpWW6sHXkKxhFERPSw0NBQPougAjGGIG9k6zks74/IEZIkwcfHB0qlki8vfZkbZ93NYxpne/fuDSEEdu7cKX82ZswYBAYGIjY2Fo8//jiefPJJNGvWDI0aNcLVq1cBAG+88Ya7qkxUJMduJ8FkpYONSeQsmzRpEipWrIhffvkFp0+fdn0FyeNNnz4der0eY8eORY0aNdxdHSIi8iAdBr2G4JDyOLprC25eOi9/bo4ziBhHEBGRNXwWQQVhDEHeqKDnsEREruYxaY2feeYZDB06FBqNRv6sUqVK+O677zB48GBkZmbi5MmTFuu89957GDx4sKurSlRk2QYTknT6fJcn6fRQ+/ohOjrahbUibxMZGYnIyEh3V4OIiDxMtsGELB81vv7zuNXlSTo9sg0mqJUe00+T3IBxBBERWRMQEMBnEWQTYwjyNvY8h+X9ERG5msc0zmq1Wnz77bd5Pu/Tpw8uXLiA5cuX49SpU8jKykKtWrUwePBgdOzYsdD7O3XqFP744w/cvXsXQUFBaNeuHXr27AkfHx+b62VnZ+P111+HJElYvnx5ofdPJVum3mhXGQYFRERE5CjGGURERERERDl4f0REnkgSJWzmYoPBgDFjxmD16tV5ltWuXRsLFy5Et27d8l0/PT0dgYGBkCQJRmPBX+zkPc6dO4fGjRvL/z979iwaNWpULPtKztRjc9QDm2V61q+AUlpVseyfiIiInMuVcURBGGcQERF5D0+KIYiIHkW8PyIiT1TiuoOMHj0aq1evhhAiz+vy5cvo2bMnpkyZ4u5qEhEREREREREREREREdEjpkQ1zu7fv19Ondy4cWP8/PPPiIqKwt69e/Hmm29CpVLBZDJh1qxZeOWVV9xcWyIiIiIiIiIiIiIiIiJ6lHhM4+z+/fvh4+ODmjVrwmQy2SxrNBpRs2ZNKJVKHDp0yO59mOeIbdSoEQ4dOoT+/fujbt266NChA7766iucOHEC9evXhxACkZGRePnllwusCxERERERERERERERERGRPTymcfbnn3+GEALDhw+HQmG7Wj4+PhgxYgRMJhN++uknu/dx8OBBSJKEadOmwd/fP8/yRo0a4e+//0b37t0hhMDatWsxZMgQzi1LREREREREREREREREREXmMY2z+/fvhyRJ6Nq1q13lzeX2799v9z6io6MBAG3bts23TEBAAH777TcMGTIEQgj8/PPPePHFF2EwGOzeDxERERERERERERERERHRwzymcfbu3bsAgHr16tlVvk6dOhbr2UOv1wMAVCqVzXI+Pj747rvvMHr0aAghsGnTJvTr109en4iIiIiIiIiIiIiIiIjIUR7TOJucnAwAUCqVdpU3l0tISLB7HyEhIQCAW7duFVhWkiT873//w5tvvgkhBDZv3oznnnsOOp3O7v0REREREREREREREREREZl5TONsmTJlAAA3btywq7y5XKlSpezeR4MGDQA4lgr5q6++wtixYyGEwJ9//onnnnvO7nWJiIiIiIiIiIiIiIiIiMw8pnG2SZMmAICff/7ZrvLr168HADRq1MjufbRv3x5CCKxdu9ahus2ZMwcffvghhBA4fPiwQ+sSEREREREREREREREREQEe1Djbp08fCCEwf/58HDt2zGbZEydOYN68eZAkyaGRrN27dwcA/P333zh69KhD9Zs1axY++eQTCCEcWo+IiIiIiIiIiIiIiIiICPCgxtnRo0ejSpUqyMzMRKdOnfD5558jNjbWokxsbCw+//xzhIWFISMjAxUrVsRrr71m9z5at26Nvn37onPnztixY4fDdZw6dSq++OILhIaGIjQ01OH1iYiIiIiIiIiIiIiIiKjkUrq7Ama+vr74+eef0aVLF6Snp2PSpEmYNGkSKlWqhKCgIKSkpCA6OhoAIISAVqvF+vXrodVqHdrPL7/8UqR6jh8/HuPHjy/SNoiIiIiIiIiIiIiIiIio5PGYkbNAzsjWAwcOoGnTphBCQAiBe/fuISoqCvfu3ZM/a9q0KQ4ePIinnnrK3VUmIiIiIiIiIiIiIiIiIrKLx4ycNWvSpAlOnjyJXbt2Yfv27bh8+TJSUlIQFBSEOnXqoGvXrujcubO7q0lERERERERERERERERE5BCPa5w169y5MxthiYiIiIiIiIiIiIiIiOiR4VFpjYmIiIiIiIiIiIiIiIiIHlUeO3KWiIiIPJMQAik6AwAgyFcJSZLcXCMiIiIiIiIiIiIi78DGWSIiIrLb/sux+OLPizh9JxkA0LRqKfynWz10qFPOzTUjIiKikoSdxYiIiIiIyFuxcZaIiIjscuxGAkatOgq9Ucifnb6TjFGrjuKHMU/hydAybqwdERERlRTsLEZERERERN6Mc84SERGRXaZsOmvRMGumNwp8tPGsG2pEREREJY25s5i5YRb4t7PY8ZsJbqwZERERERGRfdg4S+Sh0rMN7q4CEZEsOVOPqPup+S6/+CAVyZl6F9aIiIiISiJ2FiPyDkIIJGfqkZyphxB5/2aJiIiISjKmNSZyMaNJ4Oz9lALL7b0Wj9oh/mheJRg+Cs6fRETu9SBFZ3O5EDllSmlVLqoRERERlTT2dhZjPELkXkw9TkRERGQbR84SuZDRJLD/WhxuJWXaVf5KXDr2X4uD0cRepkREROQ8zNBBRN7I3s5iROQ+TD1OREREVDA2zuYSFRWFCRMmoEWLFggJCYFGo0FISAhatGiBCRMm4OLFi+6uInmJbINJTt+T+3X4ZgKiU7Mc2lZ0ahYO30zIs61sg6mYak9ERETeypEMHUdvJ7IDGBERETkVU48TERERFcxj0hpfuXIFtWvXdsu+hRD44IMPMHfuXAghLObCSEhIQEJCAk6ePIn58+djwoQJmDVrFhQKtmtTXrFpWTh2OwlJOvvmXVRIQN1yAahV1h+BGiVSswy4Fp+OS7FpyP2s9FZSptXRtsG+KrSoFoxyARpnHQIRERF5KXOGDns7gl2JS0d6lgEdaoVwCgUiIiIqMqYeJyJvlZ5t4HcTEbmUxzTO1qtXD2FhYXjllVfwwgsvQKNxXWPTG2+8gf/9739yo+wTTzyBxx9/HIGBgUhNTcXZs2dx8uRJmEwmfPHFF0hNTcXXX3/tsvqRd4hO0WHftTjYOwBFIQHP1CmHEP9/z/VSvio8USUY1YK12Hk5tsBtJen02HUlFh1rhaBSkG8Rak9ERETeIttgQqbemOfzs/dTCp2ho3HFIIvPtSofqJXsjEhERET2szf1OBtAiMhVHMksVDvEH82rBLPjKhG5hMc0zgohsHfvXuzduxfvvPMOXn75ZYwePRpNmjQp1v3u27cPS5cuhSRJ6NSpExYvXox69erlKXfx4kW8+eab2L17N7755hsMGTIEHTp0KNa6kfcQQuBMdLLdDbNAzojZ3A2zuYX4a1AnJAAXY9MK3I5JAP9EJ6NioAaSxOCBiIjoUcUMHURERERERPZhZiEi8mQe0x1+3rx5ePzxxyGEQGJiIr766is88cQTaN26NZYtW4a0tIIbqQrjm2++AQC0bdsWf/75p9WGWSBnZO+2bdvQrl07i/WIgJy5UxIy7HtQalarrL/N5Y+F2F6eW3yG3uqcLkRERPRoiE7RYdeVWIcaZp+pUw5PVAlGKV8VFJIkZ+h4pk452POswZyhI7qAUTBERERERETOkG0wITlT75TX4ZsJhc4s5Kw6ZBtMxfSTIiJv5zEjZ9999128++67OHbsGJYtW4YffvgBKSkpOHr0KI4dO4bx48dj0KBBGD16NJ566imn7ffAgQOQJAnTpk2DUmn7x6FUKhEREYFu3brhr7/+clodqGQK1Ng+3wpaTkRERCUDM3QQEREREdGjzNEsQYVR1MxChcWMRERkjceMnDVr0aIFlixZgujoaERGRqJDhw4QQiAtLQ0rVqxAu3bt8Pjjj2PBggVITEws8v4ePHgAAGjWrJld5Z944gkAQExMTJH3TY8OlY+EMn6OzZmSmmWwvVxne3luZf1UUPnwgSkREdGjiBk6iIiIiIjoUeVolqDCcEZmocJiRiIissbjGmfNtFotwsPDsXfvXly8eBHvv/8+KlSoACEEzp07h3HjxqFy5cp46aWXsGvXrkLvR6PJ6bGSkZFhV3lzObVaXeh90qNHkiQ0qVTKoQv5tfh0m8uvFrDcTCEBTSqV4mgWIiIikjFDBxERERERebrCZAkqDHsyCxUnc0YiIdjplYhyeGzjbG516tTB7Nmzcfv2bWzYsAHdunWDEAJZWVlYt24dunbtitq1a+PLL79EamqqQ9uuWbMmAOCPP/6wq7y5XK1atRw7CHrkVQryRefa5RDsa98I2kuxaYhLtz7vQVx6Fi7HFZxqMNhXhc61y6FikK9DdSUiIiLvwQwdRERERET0KCpMlqDCcGZmocJiRiIiys2rusxfvHgR+/btw4kTJyBJEoQQcm+Ta9eu4YMPPsCsWbMwZ84cDB8+3K5tdu/eHadPn8bUqVPRsWNHNGzYMN+yUVFR+PjjjyFJEnr06OGUY6JHS7kADXo0qIBsgwmZeqPFsrRsA/Zdi5f/bxLAzsuxqBMSgMdC/v9cBzoDrsan43JcWp4eY2G1ysJf/e+frFblA7XSK/pXEBERURGYM3TsuxZnd4/ya/HpeKJKcL7LmaGDiIiIiIhKCmYWIiJP4/EtO2lpaVi2bBnatGmDxx9/HPPmzUNcXJzcQLphwwZs374dAwcOhFKpREJCAkaOHIlffvnFru2PGzcOgYGBSEhIQOvWrTF16lScOXMGRmNOw5rRaMQ///yDqVOnolWrVoiLi0NgYCDGjh1bjEdN3k6tVKCUVmXxqlJKi9oP9cIyCeBibBo2X3iAdafuYnPUA1yMzdswWzvEH5VLaS22x4ZZIiKikoMZOoiIiIiI6FFTmCxBheHMzEKFxYxERJSbx3YJOXDgAJYvX46ffvoJGRkZ8gjZypUrY9SoUXjllVdQvXp1ufwzzzyDmzdv4uWXX8aBAwfw2WefoX///gXup3z58li7di369++P9PR0zJw5EzNnzgQA+Pr6Qqf7d6JuIQTUajV++OEHlCtXzslHTCVB8yrBSM8yIDrV+sNSayoFatDcxsgXIiIiKhmYoYOIiIiIiB4lhckSVBjOyixUWMxIREQP86jG2ZiYGKxatQorVqzApUuXAOQ0iCoUCvTo0QOvvvoqevfuDYXC+oOi0NBQLF++HPXr10dUVJTd++3ZsycOHDiAN998E0ePHpU/z8zMtCjXunVrLFq0CM2bNy/E0REBPgoJHWqF4PDNBNxKyiywfO0QfzSvEgwfBS/cRERElEOtVORpOC2lVaF2iD+uxP37UMGcoeNirO1RsuYMHURERERERK5mzhJ07HYSknTFM//spdg0VAvWIsRfk2eZvZmFCivYV4UW1YJRLiDvvomo5PKYxtl+/fph8+bNMBgM8ijZqlWryqNkq1atatd26tatCwBIT3est8uTTz6JI0eO4PTp09i3bx+uX7+O1NRUBAYGombNmujYsSOaNm3q2EGRV8vMzIQQwuk9mnwUEhpXDCqwcTasVlk+KCUiIiK7MUMHERERERF5I1tZggrD2ZmFCosZiYgoPx7TOLtp0yYAgI+PjzxKtmfPnvmOkrWlY8eOdjeoLViwAADQqVMnNGnSBE2bNmUjLAEAUlNTERMTg8DAQGi1WpennXBGAEBEREQlBzN0EBERERGRN7OWJagwmFmIiDydx7T+VK1aFa+88gpGjx6NKlWqFGlbe/bssbvs2LFjIUkSTpw4UaR90qPHZDLBaDQiKSkJaWlpKFWqFDQapp8gIiIiz8UMHURERERERMwsRESezWMaZ8+cOQOFQgFfX1+X7rdMmTJITExE9erVXbpf8nzJyclIS0uDn58fDAYD4uPjoVarERwcDKXSY/50iIiIiBzGDB1ERERERPQoY2YhIvJkHpPwvGzZsihTpgy2b9/u0v3Wrl0bAPDgwQOX7pc8nxACmZmZSEhIkOefzc7ORkxMDBITE5Gdne3uKhIRERERERERERGRFebMQgUJq1UWLauVZsMsEbmMxzTOajQaCCHQsmVLl+53wIABEELgp59+cul+yTv4+PhACIG0tDSLBtnMzEzExcUhLi4OWVn2p8YgIiIiIiIiIiIiIs/BzEJE5Goe0zhbuXJlADnzfLrSu+++iyZNmmDWrFnYvHmzS/dNni84OBgBAQFQKBQwGo1ITk5GYmIidDqdPJI2Pj4eCQkJbKQlIiIiIiIiIiIiIiIimzymS0iXLl3wv//9DwcOHMALL7zgsv0ePnwYEREReO+999CnTx88++yz6N27N2rVqgU/Pz+b63bs2NFFtSR3kSQJWq0WGo0GGRkZ0Ol0MBgMSE1NRUZGBrRaLbRaLXQ6HXQ6HXx8fODv7w8/Pz8oFB7T94GIiIiIiIiIiIiIiIg8gMc0zo4bNw7ffvstPv74Y3Tt2hVBQQXngneGTp06QZJycskLIbBt2zZs27atwPUkSYLBYCju6tl07do1HDt2DEePHsWxY8dw/PhxpKamAgAiIyMxYsQIh7Y1b948bNmyBXfv3oVWq0W9evUwZMgQvP7661CpVPmum5SUhIiICPzyyy+IiYlBtWrVMHz4cHz44YfQaDT5rpeWloaGDRvi3r17OHbsGJo1a2Z3fV1NoVAgICAAfn5+0Ol0yMzMhNFoRFpaGjIzM+Hn5we1Wg0ASElJQWpqKvz9/eHv7w8fHx83156IiIiIiIiIiIiIiIg8gcc0ztarVw/r1q3D0KFD0bJlS8yYMQM9evRAQEBAse9bCGH1vad77LHHnLKdDRs2YNiwYUhPT5c/y8zMxKFDh3Do0CGsWLEC27ZtQ/ny5fOsm5GRgbCwMJw5c0b+7OrVq4iIiMCRI0fw+++/y43fD4uIiMDt27cxbtw4j26YzU2hUMDPzw9arRaZmZnIyMiA0WhEamoqJEmCRqOBVquFUqlEWloa0tPT4efnh4CAADbSEhERERERERERERERlXAe0zhbq1YtADmNX5cvX8bgwYMhSRJCQkJspheWJAlXr14t9H53795d6HU9RZkyZfDkk0+idOnS+PHHHx1a98SJE3jppZeg0+lQvnx5zJkzB507d0ZmZibWrFmD6dOn49SpU3j++edx4MCBPKl6Z8+ejTNnziA4OBjLly9H69at8ccff+Cdd97B5s2bsXr1aoSHh+fZ75kzZ7BgwQJUrVoV06dPL9Lxu4MkSfDz84Ovry8yMzORlZUFo9Eopzc2N9KqVCqkp6cjIyMDfn5+8PPzszkKmYjIm91NzETdCoHurgYRERERERERERGRx/KYxtkbN25Y/F8IASEEYmJibK6X36hMe4WFhRVpfXdat24dWrRoITds79mzx+HG2fHjx0On00GtVmPHjh14/PHH5WVTp05FhQoV8Nprr+Hw4cNYvXp1nlTJq1evBgD897//Rf/+/QEAr776KqKiojB37lysWrUqT+OsEAKvv/46DAYD5s+f75LR0cVFoVDI6Yuzs7Oh0+mQlZUlv9Rqtdwgm56ejvT0dKjVahiV+ad7JiLyNNkGExbsvFxguZGrjmJo6+qI6N0IaiXn3fZ0nB6BiIiIiIiIiIjI9Tymcdba6EqybeDAgUVa/8yZM9i7dy8AYOTIkRYNs2avvvoq5syZg4sXL2LhwoUWD2pTUlLkRvU+ffpYrNe3b1/MnTsXp0+fzrPNpUuX4tChQ+jVq5fcoPsoUKvVUKvVMBgM8mja7OxsZGdnQ61WyyNps7OzkZ6R5e7qEhHZJdtgwphvj2HvpVi7yq85cgt3EjPxv2Et2EDr4Tg9AhERPYqYyYOIiIiIiDydxzTORkZGursKJc6mTZvk94MHD8633KBBgzB9+nScOHECt2/fRrVq1QDkNM6aPfzAtUKFCnnKAEBMTAwmTZoEPz8/fPXVV0U+Bk+kVCoRGBgIPz8/ZGRkWDTSKhQKaLVamJS+7q4mET0ikjP1eJCiK7btL9h52e6GWbO9l2Ix/sdTePeZOsVUK6BCkC9KaZkm3hk4PQIREXkDZvIgIiKikkgIAaPRCKXSY5pyiMgJ+Bddgh07dgxATmre1q1b51uubdu28vvjx4/LjbNBQUHy53FxcahSpYr8/9jY2DxlAGDChAlITEzEZ599hho1ahT5GDyZj4+P3EhrHklrMpmQnp6OLGQBKOXuKhKRFzt2IwFTNp1F1P1Ul+5X7aNAeNtQDGpRDTXK+uNGfDrWHbuNVQdvIttoksv9/k80fv8nutjqIUlAvQqB+G/fxngytEyx7edRxukRiIjIWzCTBxEREZU0RqNRniZPCIHKlSu7u0pE5EQlvnG2c+fOhVpPkiTs3LnTybVxraioKABA5cqVodVq8y1nfmgLABcuXEDfvn0B5DS8hoaG4ubNm9i6dStGjx4tl9u8eTMAoEmTJvJnu3fvxnfffYfGjRtj/PjxzjyUPGJiYuQGYntduXKlWOri4+ODgIAAeV7ajIwM6PSiwPWSkpLgqwiyOd8eEZVM+y/HYtSqo9AbC/4ucSa1jwLrXn0KT1QvLX9Wu3wgPurZED0aV8LgpYctGmiLkxBA1P1UDP7fYawIb4kOdcq5ZL+PEk6PQERExc1ZGT7cncmDGTuIiIjIVYxGI9LS0pCRkQEhXPvch4hcp8Q3zu7ZsweSJNn8oss915m5XH7zn3kTc+OlOQVxfnIvj4uLs1g2dOhQzJw5E5MnT0ZoaChatWqFLVu2YP78+QCAl19+GQCQnZ2NN954A5IkYfHixVCpivfG9uuvv8Ynn3xSrPtwlCRJ0Gg00Gg0UGTqgRTb5bP12YiPj4dSqURAQAC0Wu0jcd4RUdEIIfDFnxdd3jALAOFtQy0aZnNrXr00hrcJxbK/rru0TnqjwBd/XkL72iH8jnQxTo9ARET5Ke4MH67O5MGMHZauXbuGY8eO4ejRozh27BiOHz+O1NSc33VkZGSeTBkFbWvevHnYsmUL7t69C61Wi3r16mHIkCF4/fXXbT47SEpKQkREBH755RfExMSgWrVqGD58OD788EObnZzT0tLQsGFD3Lt3D8eOHePc9URE5BEeHikLAHq9HhkZGfD15RR5RI8aj22cvXr1Ki5evIikpCQYDAabZYcPH17o/XTs2NHmw1yDwYC7d+/KIzuqVq2Kxx57rND78yRpaWkAUOCXe+5RteZ1zCZOnIgNGzbgwoUL6Nq1q8WyLl26YOTIkQBy5pS7ePEiRo0ahfbt2wMAsrKysGbNGhw+fBhGoxFNmzbFiBEj8qRCfhQpVUoAthtWdLosaP3UMBgMSEpKQmpqKvz9/aHVauHj4+OaihKRx0nRGXD6TrJb9j2oRTWbywe3rObyxlkAOH0nCSk6A0e0uBinRyAiImuKO8OHOzJ5MGOHJWc9E9mwYQOGDRuG9PR0+bPMzEwcOnQIhw4dwooVK7Bt27Y8nbgAICMjA2FhYThz5oz82dWrVxEREYEjR47g999/z/dZT0REBG7fvo1x48axYdYN7iZmom6FQHdXg4jIYxgMBqSnp1uMlDU3ymZnZwMo+Pk9EXkfj2ucXb58OWbNmoXr1+17uCtJUpEaZ/fs2WNXuaioKLz77rs4cOAAFixYIKf2fRQUNNLI1vLAwEDs378fERER2LBhA2JjY1GtWjUMHToUkydPhkKhwNWrVzFz5kyEhITg888/BwDcvXsXXbp0kVMrm82ePRvbt29Hw4YNi35gXi4jIwNClwatVis3kKekpCAlJQUajQb+/v68MBORS9Uo629zeWgBy+nRwukRLBXX9AhERN7EFRk+3JnJgxk7LJUpUwZPPvkkSpcu7fC89SdOnMBLL70EnU6H8uXLY86cOejcuTMyMzOxZs0aTJ8+HadOncLzzz+PAwcOQKGwnDt49uzZOHPmDIKDg7F8+XK0bt0af/zxB9555x1s3rwZq1evzjNvPZAzLcOCBQtQtWpVTJ8+vUjHT5ayDSYs2Hm5wHIjVx3F0NbVEdG7EeeEJqISy2QyISMjA1lZWcjKypI/1+v1yMzMtPiMiB5NHtU4O3bsWCxcuNAjc6nXr18fmzdvRqdOnfDyyy/jxIkTqFu3rrurVSQBAQFITExEZmamzXK5lwcEBORZXrZsWXz11Vf5phd86623oNPpsHjxYpQtWxYAEB4ejqioKPTo0QOLFi2CRqPBlClTEBkZiQEDBuCff/4p0ujQN998Ey+++KJD61y5csWjGt19fBQQJiMyMjKQmZkJjUYDX19fqFQq+cKtUqnkxluOpiUqGYJ8lWhatZRbRs/eiE9H7fL593K/EZee77Li1LRqMIJ8PSqkKRE4PQIRET3MFRk+3J3Jgxk7gHXr1qFFixZyB6w9e/Y43Dg7fvx46HQ6qNVq7Nixw2Lu+qlTp6JChQp47bXXcPjwYaxevTpPquTVq1cDAP773//Kc9C/+uqriIqKwty5c7Fq1ao8jbNCCLz++uswGAyYP3++1ecbVDjZBhPGfHvM7rmh1xy5hTuJmfjfsBZsoCWiEsVkMiEtLc0idTGQc8+bmZkpj5QFckbLZmdnw2RybkYQIvIMHvMkc8+ePViwYAEkScKHH36I4cOHo1GjRpAkCWfOnIFer8c///yDb7/9Fjt27EDjxo0RGRmJkJAQl9VRqVTio48+Qq9evfD5559j2bJlLtt3cQgJCUFiYiJiYmJslnvw4IH83ty4aq9169Zh27Zt6Nixo3wzdfbsWezcuRP+/v5Ys2YNSpfO6fW8dOlSbN++HRcuXMDWrVvRq1cvxw4ol/Lly1tNfeRNSpUqBaUx58Ks1+uh0+mg0+ng4+MDX19faLVa6PV66PV6pKSkwM/PDwEBAVAqPebPmoiKgSRJ+E+3esWaLjA/647dxkc9889ssO7YbRfWJofKR8L7z9bj6BU34PQIRETkDszk4X4DBw4s0vpnzpzB3r17AQAjR460aJg1e/XVVzFnzhxcvHgRCxcutGicTUlJkaee6tOnj8V6ffv2xdy5c3H69Ok821y6dCkOHTqEXr16yQ26j5rkTD0epOhcvt8FOy/b3TBrtvdSLMb/eArvPlOnmGqVV4Ug3xLdsYKI3MfafLIGgwE6nQ7Z2dkwGo0Acp75aDQaaLVaKJVKJCUlsXGW6BHlMa04S5cuBQC88MILmDVrlsWymjVrws/PD82aNcOwYcOwcuVKjBkzBmPGjMHhw4ddWs8WLVoAALZv3+7S/RaH+vXr4/Lly7h37x50Ol2+D1evXbsmv2/QoIHd209JScG4ceOgUqmwePFi+fMDBw4AANq0aSM3zAI5jd/dunXDihUrcPDgwSI1zj4qNBoNNBoNsrOzLS7W6enpyMzMhFqtlkfTZmRkICMjA1qtFgEBAcU+qoiI3KdDnXL4YcxT+GjjWVx8kApXJZxYdfAmejauZDWV4IlbiVh96KZrKgJAkoB6FQLx376N8WRoGZftl/Li9AhERGTmigwf7s7kwYwdRbdp0yb5/eDBg/MtN2jQIEyfPh0nTpzA7du35XnrU1JS5DIPd8o2Z+zIXQbImbJg0qRJ8PPzyzfrlzc7diMBUzadRdT9VHdXBUDO3NDhbUMxqEU11Cjrjxvx6Vh37DZWHbxpMSf07/9E4/d/ol1WL95DEJGrZWdny89szQwGg5zS2EySJHkwDrMjEpUMHnNHcejQIUiShDFjxuRZ9nCa4xEjRuDMmTOYP38+Fi5ciAkTJriqmnJPldyjSb1VixYt8Ntvv8FoNOLvv/9Gx44drZY7ePCg/P7JJ5+0e/sfffQRoqOjMWnSJIuHpOaUhtZGPZtvrByd5+1Rp1aroVarIYSATqdDRkYGTCaTPJpWpVLBz88ParUamZmZchrkgIAAaDQad1efiIrBk6FlsPW9jsXaO/5OYgZGrTom/z/baMKgpYcxvE0oBreshtCy/rgRl/OgZfUhywctABAZ3hJVSuc/F2lRsNe7+3F6BEueNj0CEZE7uCLDhzszeTBjh3McO5YTXyoUCrRu3Trfcm3btpXfHz9+XG6czZ0lIy4uDlWqVJH/b36W8HAmjQkTJiAxMRGfffYZatSoUeRj8CT7L8e6JatOftQ+Cqx79SmLDp21ywfio54N0aNxJQxeejjPfYOrCAFE3U/F4P8dxorwluhQp5xb6kFEjzYhBDIyMpCWliaPiAWszyer0WigVquh0WgYXxCVMB7TOGtu7Mw9j6v5CykrKwv+/papiUaOHIl58+bhxx9/dGnj7NatWwEAwcHBLttncenbty8iIiIAAGvXrs23cdY8d0zz5s1RvXp1u7Z9/PhxfP3116hZsyamTp1qscyc3tBaOmXzeZA7BeKjSGPHlCrWykiSBK1WC19fXznVcXZ2NvR6PZKTk+Hj4wN/f39oNBp5Xlq1Wo3AwEA20hI9okppVcXWSFm3QiCGtq6ONUduyZ9lG01Y9tf1AudyG9q6Op6u793p5ck2To9gG1NPEVFJVdwZPtyRyYOj7ZzLnPmicuXKNu/9zXPaAsCFCxfkTlBBQUEIDQ3FzZs3sXXrVowePVout3nzZgBAkyZN5M92796N7777Do0bN8b48eOdeSh5xMTEONzZ/MqVK4XenxACX/x50WMaZgEgvG2o1b9PAGhevTSGtwkt1nmh7aE3Cnzx5yW0rx3CxhAichrziFjzoBog577QnBFRr9fLZTUaDfz8/Dg9HVEJ5jF//ebRsbl7NwYEBCAtLQ0xMTEoU8byBsjcM7IoQayjNm7ciHHjxkGSJLRr185l+y0uTZo0QceOHbFv3z5ERkbi7bffRqNGjSzKLFu2DBcuXAAAvP3223Zt12Qy4bXXXoPJZMKiRYvy3GyZ93Ho0CHExcXJI2j1ej22bdtmUeZRpVRI8FcKpBusL/dX5pTJjyRJ8mhak8kkj5Y1Go1ISUmBj48PtFqtnBI5Pj4eWq0W/v7+UKvVxXRURPQoiujdCHcSMx2aQyqsbjlE9H60v8eJ0yMUJC4uDtHR0fD19eV0A0RU4jgzw4cnZPIobMYOo9GI7OxsZGVlITs7u8gdfx4V5sZLcwri/ORebs7AZTZ06FDMnDkTkydPRmhoKFq1aoUtW7Zg/vz5AICXX34ZQE46yTfeeAOSJGHx4sXFfj3++uuv8cknnxTrPnJL0RmKNY14YQxqUc3m8sEtq7m9cRYATt9JQorOwGw8RFRkWVlZSEtLsxgRazKZkJGRAZ1OJ7d7mJ/nslGWiAAPapytUKECbt++jQcPHsgP2qpVq4YLFy7g1KlTqF+/vkX5GzduAIBFvvbC6Ny5c4FlMjMzcfnyZSQmJkIIAaVSiQ8//LBI+3WGq1evWvTIPH/+vMWy3PPxBgUFWZ1/be7cuWjXrh10Oh2eeeYZzJkzB507d0ZmZia+//57TJs2DQDw1FNPITw83K56LVq0CMePH8eAAQPQo0ePPMuffvppVKxYEffv38eLL76IBQsWwNfXFx9//DHu3bsHrVaL/v372/tj8Fp1AiWcThR4uH+r9P+X2UuhUMDf3x9arRY6nU5upE1LS0NGRgb8/Pzg6+trke7Y398/34foRES5qZUK/G9YC4z/8ZRd80ENbV0dEb0bQa20I0UAeTVOj1AwIYR8/fXz84NWq4VKpYJCUbx/H1pVwSmd7SlDRFRUzsjw4Y2ZPLKyspCeng6drnimnvB2aWlpAFDgPWnujt7mdcwmTpyIDRs24MKFC+jatavFsi5dumDkyJEAcuajv3jxIkaNGoX27dsDyPn9rFmzBocPH4bRaETTpk0xYsSIPKmQqXBqlPW3uTy0gOVERN7APPVcWlqaxYhY8yjZ3A21Pj4+0Gg08PX15XyyRCTzmMbZpk2b4vbt27h3757cENu6dWucP38e33zzDQYPHmxR/osvvgAAu9Ps5mfPnj2QJCnPvLb5KVWqFJYtW4ZWrVoVab/O8Omnn2LVqlVWl82YMQMzZsyQ/x8WFoY9e/bkKde8eXN8//33GDZsGB48eIChQ4fmKdOsWTNs2rTJrgeJ0dHRmDJlCgIDA+Ueqw9Tq9VYunQp+vfvjz179likGwKAefPmWX3g+qgppZbQOBi4kSaQ+v9H0AYqgZoBEkqpHU+ro1Ao5Ae/mZmZ0Ol0ciOtTqeTR9Ka0x37+PjIE81zNC0R2aJWKvDuM3UKbJyNDG/JVMYlCKdHsC0xMRGJiYnw8/ODRqOR01sBgJ+fHwIDA4vtxlytVCDYV4Uknd7q8mBfFTtQEJFX8fRMHkII+WGs+T7MzGAwIDs7GwaDAZUrV3ZJfbxFQelkbS0PDAzE/v37ERERgQ0bNiA2NhbVqlXD0KFDMXnyZCgUCly9ehUzZ85ESEgIPv/8cwDA3bt30aVLFzm1stns2bOxfft2q53aPVmQrxJNq5byqNGzN+LTUbt8YP7L49JdWJv8Na0ajCBfj3ksSkRewjwiNj09Xb7em0wmZGVlyQNmzFQqFfz8/PjclYis8pgo5Nlnn8Xvv/+Ov//+Wx7NGh4ejsjISOzbtw8dOnTAwIEDYTQa8euvv2Lv3r2QJAn9+vUr0n47duxoM+A3z/FZqVIlPPXUU3jxxRdRqlSpIu3T0/Tr1w9nzpzB3LlzsXXrVty5cwdarRb16tXDkCFD8MYbb9id+mfs2LFISUnBvHnzbN549unTBzt37sT06dNx5MgRGI1GNGvWDBMnTsRzzz3nrEPzeGU0EkqrAfP0MD5SwTeoBZEkSW6k1el0SE9Ph8FgQGpqKjIyMuDr6yv3UE5PT0d6ejoUCgU0Go08ny0RUWEUNWUgeRdOj2CbEAIGgwEpKSlQKpXyqFkfHx9kZGTIo2kDAgKKpZG2RbVg7LoSC9ND/Q8VUs4yIiJv4omZPEwmk9wYm5WVZdHh29pD2uLOmuBNAgICkJiYiMzMTJvlci8PCAjIs7xs2bL46quv8NVXX1ld/6233oJOp8PixYvlee/Dw8MRFRWFHj16YNGiRdBoNJgyZQoiIyMxYMAA/PPPP0W6Lr/55pt48cUXHVrnypUr8ny6jpIkCf/pVg+jVh31mHln1x27jY965t/Ive7YbRfWxjqVj4T3n63H+WaJyC7mUbKZmZkW13xzLJCZmSnPMStJkvzslamLicgWj/mG6NOnD95++2389NNPmDhxIoCchtNRo0bJc4flTosnhECdOnUwadKkIu3X2mhSb7Fy5UqsXLnSKduqVasWFi5cWOTtrFu3DuvWrbOrbMeOHbFjx44i79PbSZIEZTHcD5g7Fmg0GouRtOnp6cjIyJDnrDX33jKnXVSpVAgICICvry9vVIiIHmGcHqF4aTQa+Pn5ITMzU+4kBeT0nvb394dKpUJ6ejoyMzMRGBgIPz8/p153ywVo0LFWCP6JTkZ8Rs4I2rJ+KjSpVArlAjRO2w8Rkat4SiYPvV4vf39ba5DV6/XIzs62OztXSRQSEoLExESrWTByM2fEACA3rtpr3bp12LZtGzp27IgRI0YAAM6ePYudO3fC398fa9askafUWrp0KbZv344LFy5g69atRZq3vnz58i6fW7hDnXL4YcxT+GjjWVx8kAp3n3qrDt5Ez8aV8ET10nmWnbiViNWHbrqhVjkkCahXIRD/7dsYT4aWcVs9iMg7mEfJpqWlyY2vQE5WjIcban18fORBL3yeSkT28JjG2WrVqsFgMOT5fOnSpahbty6+/vpr3LqVM8dMQEAABgwYgM8///yRG8VK5GzmOWn9/Pws5qQ1pzcGch4Uq9Vq+Pr6Qq/XIzExEQqFAgEBAdBqtZwPgYjoEcTpEYqXj4+PPCd8ZmYm9Ho9DAYD9Ho9kpKSoFar4e/vD6VSieTkZKSlpcnXXWeNrqoU5IuKgRp5JI3KR+KDAiJ65BVHJg/ziBnz/ZSZOWVxVlZWnucZ5oe0SqUSSUlJTq+TN6tfvz4uX76Me/fuQafT5Zu96dq1a/L7Bg0a2L39lJQUjBs3DiqVCosXL5Y/P3DgAACgTZs2csMsACiVSnTr1k0eGFCUxll3eTK0DLa+1xHJmXo8SHHtXMd3EjMwatUx+f/ZRhMGLT2M4W1CMbhlNYSW9ceNuHSsO3Ybqw/dRLbRZLF+ZHhLl2XgqRDkW+R5sIno0SaEgF6vl+ePNzfKmkfJPnzNN2dJ0mg0vNciIod4TOMsYD3Nj0KhwAcffIAPPvgAiYmJyMrKQvny5ZkSiMhB5pG0Wq0W2dnZcqBhNBqh1+uh1+uRkZEBPz8/+eY4JSUFKSkpCAgIQGBgIIMMIiLKg9Mj2GbuJAVAzmCRlZWF7OxsZGdnQ6vVws/PDwCQnJyMlJQUOQ2WWq0ucgcpSZKgLo4UHUREJYBer0dqamqetMXZ2dnIyMiAXm85t7dSqYRGo4FarZZTGVrrhF7StWjRAr/99huMRiP+/vvvfOetz5097cknn7R7+x999BGio6MxadIki8wfcXFxAGC1E5d5tGvurCLeqJRW5fLGx7oVAjG0dXWsOXJL/izbaMKyv65j2V/Xba47tHX1Yh3pTkRkr+zsbMRnpOTJfpH7Hs5MkiSo1Wp56hoiosLwqMbZguTu2eguJpMJf/31FwDkewNB5OnM6Yz9/f1hNBqRnZ0tj6g1z0NrfjCsUqmQlpaGrKwsBAUFQaNhKkQiokcBp0dwPR8fHwQFBVnc4JunFTB3oPLx8ZE/A3Ie9Pv6+sLPz49zFhERuUh2dracutjMPGLG3NEV+PfhrFqtlucVp4L17dsXERERAIC1a9fm+2zlxx9/BJCTqaN69ep2bfv48eP4+uuvUbNmTUydOtVimXkee2vplM0plB+e657sE9G7Ee4kZmLvJfsbt8PqlkNE70bFWCsiohxaVcHX58zUJCgVOZ1aTSaTPE2BTvdvNgKVSgWNRgONRsOBY0RUZCXqW0ShUECpVCIjI8Pqcr1ej/Hjx2PChAn5biMzMxOdOnVC586di6uaRC5lTrdVunRpBAYGyg9+dTodkpKSkJKSIgcl8fHxiImJsQhMiIiIyDHmRtpSpUrJ193MzEwkJCQgMTERGRkZ8kgrg8GAtLQ0xMTEIDExkSOwiIiKibnjTGxsLOLi4uSG2aysLCQmJiI+Ph7p6enQ6/WQJAl+fn4oU6YMgoKC4Ovry4ZZBzRp0kRukI2MjMS5c+fylFm2bBkuXLgAAHj77bft2q7JZMJrr70Gk8mERYsW5WlobdQopyHw0KFD8ihaIOdZ0LZt2yzKkGPUSgX+N6wFej9eya7yQ1tXx/+GtYBaWaIeSxKRm6iVCgT75j/C1V8JKCCQkZGBhIQExMfHIyUlRX7+qVarERwcjODgYKdOQ0NEJVuJ636fOy3Bw7KzszFv3jxIkoQvv/yy0Nsh8kaSJMmjZc09w3LPn2Se1N5gMCAhIQFqtRoBAQH5zg9EREREtplHW5kzWGRnZ8NgMMBgMCA9PV0ekWVOcWweUatUKuX5bPlggIio8MyjYszfwWZCCDm7Qe5OMSqVCmq1GhqNpkQ3xl69etUi/e/58+ctlh0+fFj+f1BQkEVqYbO5c+eiXbt20Ol0eOaZZzBnzhx07twZmZmZ+P777zFt2jQAwFNPPYXw8HC76rVo0SIcP34cAwYMQI8ePfIsf/rpp1GxYkXcv38fL774IhYsWABfX198/PHHuHfvHrRaLfr372/vj4EeolYq8O4zdfD7P9E2y0WGt2QqYyJyuRbVgrHzSiwefqQvAaimzkJiYoY8vyyQk8HIPFKWqYuJqDh4XOPsnj17sHz5chw5cgTR0dH5jnI1kySJIwiInMz8sNg8x5LRaERaWhrS09Ph5+cnz1ubkJAApVIpN9LyATEREZHjzNddk8kkz0er1+vlxoGsrCy5QVatVsNgMCA5ORnJycnQaDRy56qS3FBARGQPo9EInU6HrKws6PV6GI1Gi+V6vV7+3jU/oJUkSU49z/udHJ9++ilWrVplddmMGTMwY8YM+f9hYWHYs2dPnnLNmzfH999/j2HDhuHBgwcYOnRonjLNmjXDpk2b7Pq5R0dHY8qUKQgMDMT8+fOtllGr1Vi6dCn69++PPXv2oEmTJhbL582bZ3U+WnKuKqWZOpqIXMtgMEBt1KFxKQk30gRS/39Tgp/CiHJIh0Knhwn/Zhdk2mIicgWPaZwVQuCtt97CN998I/+fiNxLpVKhdOnS0Ol0FnPS6nQ6+UGwwWBAUlISgJz5eXKnRiYiIiL7KRQKuQFACAGDwYCsrCzodDq5QTZ3pgulUik3IiQnJzOrBRGRFSaTCRkZGcjMzJTnijUTQkCv18uNsrkba318fOTvWz6gLR79+vXDmTNnMHfuXGzduhV37tyBVqtFvXr1MGTIELzxxht2j1YaO3YsUlJSMG/ePFSuXDnfcn369MHOnTsxffp0HDlyBEajEc2aNcPEiRPx3HPPOevQiIjIA+h0OqSlpcnZMcpoJPhDj9T0dBgMRiiEgCTljJI1N8pKkuTmWhNRSeExLShLlizBkiVLAACBgYHo2rUrateunWeOECJyLXNPcV9fX2RlZSE9PV1upM3IyJCDF6VSKadb1Gq1CAgIYNoPIiKiQpIkCSqVCiqVCn5+fsjIyIBOp4MQQr7e+vj4QKPRQK1WQ6VSWWS18Pf352haIiqxjEYjsrOzkZ2djYyMDIvO3+ZUxnq9HgaDwWKZOZ28+buVD2itW7lyJVauXOmUbdWqVQsLFy4s8nbWrVuHdevW2VW2Y8eO2LFjR5H3SUREnkUIAZ1OJ2fJMGfBMHfGyj2NgVIhQa3WyFPIEBG5msc0zi5duhRAznwiv//+O8qUKePmGhFRbuaROhqNxmIkbUZGBjIyMizSLZofGpvnyeP8DERERIWnUCgQEBAAf39/+aGCOR2n+Tqce4RX7rTH5s/UajUzWxBRiRAfn4AAY6rFZwaDIc+DWjOFQiF3cuGIGSIiIu9j7sBqnprNzGQyyc8wc09X4OvrCz8/P2bGICK38pgnNJcuXYIkSZg3bx4bZok8WO45l7Kzs+UHxOYHwSqVSh5Na+6tDuSkCNFoNPDz82NDLRF5FXN6WXOnlNKlS7u7SlRCmUd0meenNV9ns7Oz5awWmZmZ8jy0SqVS7jkO5ExXYB5RywcRRPSoMhoNEEIJo9Eoj5I135MAlt+lSqWSHVeIiIi8lF6vR2pqqny/A/zbIGvOkmFm7ozl5+fH7EJE5BE85i7E398fOp0OdevWdXdViMhOuR8Qm9MtmudsMqdaVKlUUKvVMBgMMBgMSE9P59y0ROTxsrOzkZ6eLjd65cbGWfIECoVCHhUrhEBWVhYyMjJgNBot0h77+vpCpVJBqVRCr9cjKSlJ7mjl7+/PDlNE5FVypyDOT1paGhKQkWeErFqthlarhUql4uhYIiIiL2YwGJCamorMzEz5M5PJJN8H5Y4XOJ8sEXkqj2kZadCgAf766y88ePAAwcHB7q4OETnAnG7Rz89PDoTMqRYBwMfHRx45q9Fo5DK+vr4IDAzkg2Ei8ghGoxE6nQ4ZGRkWPWyBnBs9vV7PmznySLmnHtDr9XJPcfNoWuDfxlytVguFQiGnQzZnvGBaLyLyVEajEVlZWcjKykJcXGKB5fV6PUymnAZYpVIJlUrFObiJiIgeAQaDAWlpafLzRgDIyspCenq6Radq81QFarWa138i8lge0zj7yiuvYP/+/Vi7di2mTZtWrPu6ffs2tFptns9zf7Hfvn3baq/c3GWIyJJCoYC/vz/8/PyQlZUFvV6PrKwsGI1G+aFK7rlpzakWzXM9+Pr6uvsQiKiEMBgM8kh/8/uH56bJzs6GTqeD0WiUR9/4+/u7q8pEBbKV9tic5SJ3g6xarZb/DlJSUuQGDH9/fzbUEpFbmVMSZmRkWKQktmfkrJ+fH4KD/aFUKtmpioiI6BFgnjc290hZc7Yrg8Egf5b7mSMRkafzmMbZYcOGYePGjfjss8/QuHFjDBgwoNj21bBhw3yXmW/eatSoUWz7J3rUmUfwmB/wmhs+MjMz5blpfXx8EBAQYNFIq1Ao4OfnJ6cbIyIqCvNoV5PJBJPJZNEgm9/DXYPBAJ1Oh6ysrDzpEIm8ycNpj3PPE29+medd0mq1ctpjvV4vT0EQEBDAnuZE5DLmjp3mV24GgwHZ2dlITU0rcDvmqVWIiIjIe5kz8pmnbjF7uFHWPGWLOUMQEZG38JjGWQBYu3YtJk6ciMGDB6Nt27Z49tlnUbly5QIfCg0fPtzufdjT05aInMf84Nf88Nc8N63RaJQbac0Pj4GcOaLS0tLkufDY242IHGFukLU210xuQgh5Lmyj0Si/z13e/P2kVquRkZGR50ExkbeQJEmeWsA8F5NOp5NHppk7SKlUKnl0eHp6OjIyMuQHHRqNxs1HQUSPGpPJZNEY+/Ac7+bMO+Z7BwAWo2OIiIjo0WNOU6zT6eTPzPct2dnZ8hRE5oEhnJ6FiLyVRzXOJiYmIikpCZIk4cCBAzhw4ECB60iSZHfjbERERFGrSERFkHtu2tyNtOnp6UhPT5cfHKvVarlhxfygWKvVMi0ZEeVhblzNPc9mbiaTCUaj0WpjrDWSJMkpX1Uqlfy9w+8f+n/s3Xl8VOX1P/DPvXf2mSwEEpYAhn0JIKiggIK0qNQNN1S0olZrlbog2mJFqbUuoLZWUEH9VqkWpa5FhFqXHygVCyhLkT0ssggkZJt9ufc+vz/G53JnMluSmcwkOe/XKy+SudszIcncec5zzmkr9C0I9L83+iCJ2WzWfgeiSyFbrVbKpiWENAkvt87bn8R6zeYZsrxvNsfLtlutOTWFQQghhJA0CIVC8Hq98Pl8ERWs+H1DIBDQFlLzoCy9LyGEtHY5886mqqoK55xzDvbu3Zux7FYKzhKSG/RBWl5mUZZl7YbLYDBE9MKrq6uD0+nUjqEVcYS0L4wxLXDEg0g8yBrrnkE/+Rs98avHA7GSJMFgMMBgMECSJArEknZB35+WMaZNiOjLippMJm3RFC957HK5tEVTVDaUEJIM/3vCA67ReDA2VtsB/jrNF3AKggBLyNfgHIQQQghpffh7ELfb3SBLNhgMNihnrK+8R/OChJC2IGeCs48//jgqKioAANdffz2uvfZa9OnTB1arNcsjI4Rkir4fHs/e8fv9kGUZLpdL287/DjidTrhcLq1sCZVYJKTt4gEiHmRNVJ5Y3082OtMGgBZw5UFY/b+EkMhArSzLWtljHkyJ7k3LWxAYDAbYbDZYLBYYDDnztoIQkmWqqmpZ99GVKhRF0YKxfKGVniRJMBqNMJlMMBqNNPlKCCGEtCGMMQQCAe39hv59Pm9loF/MxduzWCwWWhhKCGlzcmYWZfny5RAEAb/73e/w2GOPZXs4hJAWZjQatRLGPEirKIo2sWO1WrXJX17yWJIkWK1W2Gw2mhQmpJXSZ8DyYKyiKBGljPT78sxZRVG0j1j4qlqz2UxBWEIawWAwIC8vDzabLaLXI39t5pMjBoMBsizD6XTC6XRqv3M2m40mTghphwKBALxeb4NFUjz7hQdjo4O1PDuWB2Tpnp4QQghpW3i/2FAo1KBsMWXJEkLas5x55/PDDz8AAG699dYsj4QQkk2iKMJms8FqtWolj/kNnM/n0zJ7eNYsz97h/fGoNy0huYmXJdb3fJVlOWYQlu+vL3UYr0csxzNtzGYzDAYDvYEjpJkkSdJej3l1C16eNBAIRKxiNxgMET3k+es0z7QlhLRNjDH4/X643W6EQqGIbTwLny+q4gRBgMFg0AKy+v7uhBBCCGn9VFWFz+fTesxHL6jmcwO8ch4nCAKsVqv2np4QQtq6nPlLV1xcjCNHjiA/Pz/bQyGE5AA+6Ws2m7UgLS+vGAwGtclfi8UCk8mkTRY7nU6txKLJZMr20yCk3dJnwvIAa6zSxLwsMWNMC8byjNjo/XnpVUmSIIoiJEnSPqeJXUIyI1bJYz7JwrNp+T761+1gMAiXywVJkmC322G32+n3lJBWTt//nbcSiN4WCAQaVMCQJEkrU0yligkhhJC2iTEGr9cLl8vVYBE2f68vyzICgUDENsqSJYS0VzkTnB03bhzeeustfPfddxg3bly2h0MIySF8UlhRFG3Sh9/QBQIBSJKkZegAJ7NpeZlkyqYlpPk651sSbhcEoJPNAI/Ho/WJiQ6u6rNleQZtrCAsx7NhjUaj1iOWfpcJyR5e8hgAgsFgxO+6/jWZZ7Hz127eM95ut2tBXPpdJqT18Pv98Hq98Pv9DbbxUoXRZQp5uWKr1UrZsYQQQkgbxRdZ+3w+eL1e7V6AL+Tkizqjg7UGg0FrQ0QBWUJIe5Uzwdn7778f7777Lv74xz/ik08+oTdvhJAGeIlFm80WUWJR35uWl1g0Go0IhUKoq6uDy+XSVuHxcsiEkMYpsBoxsEsedh5zxdzet6MVflct9NO2iqJomTU8GBuPIAjaQgueEUuljAjJXXzhFJ+Q0fen5ZMxoijCZDLBbrdDFEW43W4A4dfz/Px8bVEVISS38IArX3Shn1CVZRmhUEhrORCrPxyvckHv6QkhhJC2R5bliPsEPUVRtLZk0Xh/eeoxTwghYTnzl3D48OF47bXX8Itf/AKXXnop/vKXv6BPnz7ZHhYhJEfxbDqHw6FNCIdCIe3mUBRFWCwWbeKX98EzGAywWq3aRDEhJHWPTR6Cqf/3X4SUyExXgyjg/nO7A4BW6pAvnNDjfeZ48JUHYCVJarHnQAhJL54dx6tV6F+LeYDH7/drC6d4y4Ha2lrU19fDZDLBarXCYrFQIIeQLNL3f4ueUNX/LsdaaGU0GrVFkPR7TAghhLQ9jDGtbYm+rQEArTIWD9hy+kAsb0dECCHkpJwJzv7kJz8BAHTq1AkrV67EypUr0bt3b3Tr1i3hpK0gCPj8889bapiEkBwjCIKWFau/GVRVFV6vFz6fT+txZTabIcsyXC4X3G53RDYt3SQSEpu+r2QPq4ynL+6Nl/97FNuPewEAgzvb8IszilHmYKiurm5Qrkhflpj6zBHStun70zocDoRCIXi9Xq3aBe9Pa7PZYLVaIwI+vDet1WqlBRuEtBDGmBaMDQQCEW0GeDsR3iOOb+MLMvjrusFgoNd2QgghpA1SVRU+n0+7l9e/1+cLMoPBYIOFW0ajETabTVuUSQghJLacCc6uXr1aW2XL3/jt3bsXe/fujbm/IAhgjNHKXEKIxmAwwOFwwG63IxgMajeRPIOHlz3mE7+81ArP5jOZTFT6mLRrjDGtDDEvVxgKhSL2OaO7A6dOLkOt2w9FVWCCAkCB3x9+QyYIAsxms5YhRxO2hLRP+kBtMBhEIBDQek55PB74fD6tygV/3XU6nXA6nVqLAr64ihCSPjxDlmfJRpcs5r+vsixHHCdJEqxWa9YXNRY7Ev9NEFLYhxBCCCHx8ft1j8cTsXCL30P4fL4GAVlJkrQ5NSpZTAghqcmZv5bjxo2jQCshJC14cMhsNmuBJl5ilQdkzWYzDAaD1t+S987ipY/5hDBNDJO2Tr/iNTprRr+PPmDLGIMEgOe28b6SPChLr+eEED0epAUAn88Hr9cLVVWhqircbndENQuj0RjRv4pXyLDb7bT6npAm4Bmw/F43VinCWCWL+eJFXn0mV3rI5pkN6NvRgopqf8ztfTpakGfOmWkOQgghpFXg1TT4B58X4Au3ZFmOKFmsX4hJi7IJIaRpcuZdy+rVq7M9BEJIG8RLqtpstpi9aT0ej9b30mw2w2QyQZbliGwBntljt9spUEtaJf4zLcsyVFWFoigIBoNQVbVBMFZVVS0IqyiK9q+eKIraAgdJkuj3ghCSMt5flgeK+Ie+vDF/Pea9qfSVLviKfFo8RUhsPKslGAxqC6ui6QO2+mCtvoe0xWLJ2YnW+8/tgTs/qICsRt7DGEQBv5nQI0ujIoQQQlofRVHg9Xrh8XgalC32er0NFnXxubNcvk8ghJDWImeCs7mgsrIS77zzDtavX4+qqioEAoGIfrYulwuHDh2C0WhEv379sjhSQkhjRfem1U9YKYqiTVLpJ6UMBoNWjsXr9cLr9WrZtFT+mOQiVVW1ACwPxvKs8WTH8Ana6DKGQOSqWArGEkKaS/83BQhP/vh8Pq1nFX/NBcITQHa7Xetrqc+qNRgMsNlsWtY+Ie2Vvr9zKBRqsPCKP64oivavHg/GtpbMl2HdHHjmkt54+b9Hsf14+G/F4M42/Oqsrhja1ZHl0RFCCCG5TVVV7b5BnyXLq2lEL+7i82N0z00IIelFwdkfPfHEE3j88cfh94fLI8XqZ+t2uzFixAioqoq9e/eiZ8+e2RgqIaSZeNDVZrNFBKZ43y0euOX4hJU+04dn3PLsHl7ujZCWJsuylnEWvaqVY4xp5Yh58JVnzsYK3PIALM8qp1LFhJBM4ouiGGMRGX/8b1Z9fT0ARLQdMBgMkGUZTqcTwMl+mDabjfpckTaPMaa1I4i+bwVOZsbyhVrRr/W8ZHFrvocd1TMfI3vkwR0MPzeHKTfKLhNCCCG5igdl3W53gyxZn8/XoGyx2WyG1Wqle2tCCMkQ+usK4N5778X8+fPBGIPdbsfAgQPx7bffNtiva9euuPDCC/Hhhx/ivffew7333puF0RJC0on3yjSZTLDZbFqglv/LS7zyjAR9+ePo7B6eTUulFkmm6MsM8/Lc0ZmuPODK/9X/LMfDg7H8ozVO0hJCWj99lQsAWq/4QCAQURFAvy9/zVUURetfyytc2Gy2VpEFSEgqeDUMvhgrOjuWB2r5Igc9nq2uX3TVFn43BEGg/rKEEEJIAryXLK9Sw+cFFEXR2n5FZ8m25sVbhBDSmmTlncyXX36pfT5u3LgGjzUWP0dTrFmzBs899xwEQcBvf/tb/P73v4eiKMjPz4+5/yWXXIJly5Zh9erVFJwlpI3RlzTm+A2rz+eLW/7YZDLBYDBo2YtAONjFSy3yso2ENIY+sKqfcI3GGNNKEvOFBbEIggBJkiBJkvY57xlLb7oIIblIkiQ4HA44HI6IyhZ8kYq+F63ZbNZec/l+LpcLJpMJVqtVe60mJNfp228wxrTX+ejsV76AUN+mQ09/j0oVMAghhJD2hc9j6csWAyd7zPK5K4CyZAkhJFuy8hf33HPPhSAIEARBm0TmjzWW/hxN8eKLLwIArr/+esydOxcA4PF44u5/+umnAwC2bdvW5GsSQloPSZJgt9thtVq1FYU8g4dPnHk8Hi2jVt+n1uVyweVyQRRFGAwGLbOWsmqJHg/689cy/mYpVrlhxpiWEcuzZ2MFbUVRhCRJ2s8eLwFKE7OEkNZKFMWIrNpgMBiRQcgXSEmSpGXOGgyGiB61PFhls9notZjkDP0iLH1GS7J9Y5UqtlgsWjUMmlwlhBBC2hc+l+Dz+SLmynkv2ejKW7yKHK+uQQghpGVl7R1bvOyflvbVV19BEATcddddKe3frVs3AMCxY8cyOSxCSI4RRVHLynE4HFpWAw/YRpda5PsajcYGfWxFUYwoFUOZtW1bdN83WZahqqr2mpfotY8HbXkpw1gBW+BkeW7+c9UWShUSQkgifCJJXz3A7/dHZNRKkqQFaY1GY0TfeB684h/6BS2EZBL/eeVB1ljBWH2JQX1J7+h7Bv6zzTNk6fWfEJJtnfMtCbcLQvJ9CCGpU1UVgUAAXq83oq0BD8jyeSs9o9EIu91OixUJISTLsjL7sGrVqpQeawmVlZUAgH79+qW0P3/hin5hI4S0L/oMWX4zzIO0vBSy3+/XMhglSdIyawFomTwulysi65aXmqXJ4dZJURTtzQ//uYgXUNXjE69cvH5yQDj4z3+uDAYD9TgmhLRrvJemyWSC3W6PyKhVFEWriKPvMW8ymRr01+J4sMtoNGqBXUKaSpZlrZ9bvAArvwfQL/iLt3CL/7zzBYAUjCWkbTpx4gSqq6u1hbytaTFvgdWIgV3ysPOYK+b2AZ3zUGCl9y6ENEcwGNR6yEbfz4ZCIS1LVn8/wau5UZYsIYTkjqzMNowfPz6lx1qCzWZDfX19RK39RHjGbIcOHTI5LEJIKyKKIqxWK6xWK4DIG2VVVbWeYH6/X+v1qe9Xq8+61Z+TB92MRqN2DMkOXkqYMdbg/4sxpvVAjDeZyoO1vCccz5wVBEE7byz63rD6nwVCCCEN6StX6KtW8L/B+oVT/O8p/xBFEaIoan/jfT4fnE6nViaW964lJBF+T8AXCcRaABAdjI21jyAIWvBVEISIDG9qUUBI28cXefIsOF7an/dQz/W/A49NHoKp//dfhJTI9zhGScDjlw3J0qgIad30vWKj7x34InGfzxexOFySJO3vBs0jEEJI7smZpeD/+9//AABdu3ZFcXFxi123V69e2Lx5M7799ltcdNFFSffnGb6DBg3K9NAIIa2UvtQiz6TVTw7rJ355uWReSpFPwOknkfX4JHKizzke2OMTziQ2/v8DhCdVRVEEY0x7PFbwPBE+4cpLbfLPk+ETrowxLWOLAvKEENI0+h61+tLHvG+8vuwbx7MS+YIok8mkvQ57PB44nU4YDAbYbDZYLJacnxwnmccXAfj9/ojXf05/L8BbFcSqqKFfuEdBWEKI0+mEx+PRFmgCgNfrhdfr1V6rLBZLRGWmXHJGWRFevXEknvlkN7YcrgMAnNq9EL+5YABOP6Uou4MjpBUJBoNauWL9/QNjTGuPEH1vof8b0Zqy7gkhpD3Kmbu44cOHQxRFfPrpp5gwYUKLXfe8887Dpk2bsGDBgqTBWY/Hgz/96U8QBAGTJk1qoRESQlornvXAA20AIvqO8pKLPp+vwXHRmZK8lK2iKCmVyY01Fn5eHqxljGkfHM/05YFd/pGrvUx59mm8bfz7xYOr/PkpiqIFy1Ptd857wvHz6Y/j/6fx/m/4955/L3kQVv99pklYQgjJjOjSx/o2BPyDvx7qg7a8JYEgCNrrOO8jDgBmsxk2m01bZEXaB565woP90XilDJ5BG6unbHRrAspmIYToybIMr9erfc1fw/jrjT6rlleN0JcszQXn9CvG2X07wekPvw/Ltxjo/Q4hKWCMwev1atXY9HhFtuj7Cz7fwCu90O8aIYS0DjkTnLXb7fB6vRg2bFiLXveuu+7C/Pnz8emnn+Kee+7BM888E3O/Q4cOYdq0adi3bx/y8vJw2223teg4CSFtg76fLC99x7Mp9OVuY5W548fyoCDPtAWg9SDlQVf9zbg+EBt9c59IrGxRURS14C0fD1/Nzf/lgWA+Ua2qqjbpyMelKIr2OT+fKIoRGcY8g5Qxpu2jn0Dn3zf+3Pnz5vvHmgyNR/+912fO6oO7qQbF9YFYXgqTgq+EEJIb9IHaaPqen3wBFZ8c93q9sFqt2t91/eQ4fw3jgTbqVdv28PsOnrmmp6+QEut+gf9s8IBsrGonhBASzWKxaO93+GIPt9utBWDMZrP2t4RXeXC73ZAkKaIEcjYJgkD9ZQlJAV/8xz/4XIY+QzYYDEYsEOdVYviifppvIISQ1idnZg169OiBXbt2wev1omPHji123dLSUjz//PO49dZb8fzzz2Pp0qUYN26ctv2Xv/wlKioq8PXXXyMUCkEQBLz00kvUc5YQ0mz63nh6fFJYn9UTq9dprGyNWHi/Mp6lqQ+c8mCkqqparz0e5NRndfLJRP2bBD6JHZ3529ISBWJ5IFefORsd3OXB3FToM5D5mx/+/eSZL/z7TQghpHXhk1vAyX5/fFJcH6jVZyfwyXFeCYP3qjUajVo/egrEtS68BQUvVxxrYRufJOU/G9F4EJ8H7Om+gBDSGJIkIS8vD8DJoI3f79cWjeoza/UVl/hrmMfjgcfjiVgcos/Up79JhGSf3+/XgrHRC+P5faU+UAtEziHR/QUhhLR+OROc/dnPfoZdu3bh888/x0033dSi1/7FL34Bg8GAX//616iqqsL777+vvcC9+uqrAMIT/FarFQsXLsS1117bouMjhLQv+uxaLlb2Jg+kxsoUjS5VrD+mqfjkMg8+6rN1+edcdOZsdLlH/hgfPw968t5tfMxGo1ErQ8wnv/Xfk0AgoAWOeRYtP19jsl31z4sfz59TdDliQgghbZ8oirBarQBOZi3wyTNetjYUCmk9AfnrBZ8k59udTickSYLVam2QUUulkHMDD8Dz/994VUb0/WX11U307Sj4v/R/SwhJF0mSYLPZYLPZGvS51i/g9fl8EdUheNasvnc6cDLbDjjZIsZoNOZs/1pC2gre8oAv/Ipur8TvHfl+HL8npYpchBDS9uTMndf999+Pv/3tb3j44YcxceJEdO/evUWvP23aNFx44YVYtGgRPvnkE+zcuRN1dXXIy8tDnz59cMEFF+DXv/41unTp0qLjIoQQAE0ugceDtjxjlJfvjd4HQEQZYf41P1Yf6GxMeV9+Ln2WKS9PHOs5NqWfbqwS0LHOrc9o5ZMQ/HF6k0MIISQe3nNW3z8+FAohEAhopWxlWdYqWoiiGJHVoCgK3G433G53g3MbDAZYrVaYzeasl59sD/T3NPz/LFYwlu/H/5/5YjL9fQ3//+VlrgkhJNN4YFXfBz26HL++Hy1fNKLPoFVVtUF5do7/TeNZuPpqQYSQxuGL+2JlwAInq7Tw+Yzo7bwKi8lkot9DQghpo3ImONu1a1f861//wpVXXokRI0bgt7/9LS666CL07t1bu/HMtE6dOuGhhx7CQw891CLXI4SQTONZrc3FJyn1k5M80Mu36eknMPnX+n9j4YFZnnnEz8uDqqqqNsg44kFV3pMWOBkIFkVRm1CgNzOEEELShb9OWa3WiIoPfHJcVVWtxDHPYuJZs9GvybIsw+VyweVyaaWSebAvViUNkhwPTugzyvgiruj7E47vw/+Nt1iM93LU93okhJBsiV7Aqy/JzgO3/O8fz5zlwVf+95C/3phMpgaLXvmC1ugPQkh8vPWTz+eLuJ/grZX4vUYoFIq4J+G/b/x3lO4BCSGk7cuZv/T6G0rGGB544AE88MADSY/jpSsJIYRkDl9tnSoevOWB1eg3JdElkHlmb7qCyYQQQkhL0JeHBMKvcbxELi9Zp89ikiSpwYQ4z8CM7iPI9zebzRGtBPhkfHsLDuqzXnnglQdS9VVAEi0E4+dRFEXLnk3UN5Z///lir/b2PSeEtC58UY/NZtOCs/rsWv4aFatigD67lp9HFMUG+0cHbHkAiVrAkPZIfx/BK3LoM2B5dixvnRB9j8LvA3lbBPodIoSQ9iVngrPRL1DJ3lQTQgjJXbz/Gpds1SdNdhJCCGkLeLlbs9msZUjwQC0PCnI8QBgIBCImxfnknMFggKIocctP6ifIRVHUsi14WwLeP721LHriC7t4EIF/f/j3LbrcXyI8G0XfI1h/jWj6dgf67ykhhLRWsRbxRC9I4YtkeUlV3p+Wi+6pHi9gy8+l73fLX4P0/xLSmunLEMuy3OD3heP3f36/X1ucx/HfEx6MpUx0Qghp33ImOPv73/8+20MAABw5cgTHjh2D1+tNGiAeN25cC42KEEIIIYQQ0proJ6qBk5mffIKaByJ5lkX0JF909pI+e5b3dY+XAaWnz8Tgpf75hD1jTMvY4MFPft14GGMJJ9l5UJRfTx9k5fhj+u2p9J3n7RT0gdzorFm+TyL8e8knR6mfGyGkPYhXLp8Hk/SZtvw1S99THUCDYC1vMyOKYkSliFjX5v1yY5X5JyTX8N8LXio83v0WD9bqW1zo8exYHpQlhBBCuJx5VchmcDYQCODJJ5/E//3f/+Ho0aMpHUPllAkhhBBCCCGpim4RYDQaYbFY4HA4IibFeTlkfWZtLNGZTHySnC8w5cFGff/AWGJl5ur7tccLdPJ9+AcPmjanAhJ/3nySk5cw1ve5TwUPFOizvvjzoaAAIYREil5MBED7W8z/5QHbeK9NkiRp5+ABWwDa31tZluF2u+F2u7XH+WuY0WjUFgoRkk2hUAher1crQxyNZ5rzIGy8eWFRFGE2m7XFCIQQQkgs7f4Vwuv14ic/+Qk2bNhApZRJ+8QYhB9vKJnBAFDWACGEEEJIi4k1Kc6zL3jGBgAtK5S/Z+EZTXqiKEYESKOzYHnWrMFg0DJgozNp+UR6svdGiQKx+m08uKoPGsfKnG1M8FWf+cqfiz6jmDJhCSGkeWKVRda/NunLzwPhYK7P54PP52twLl56n/dYF0URqqo2qP7AKxnog7yEZIq+Aol+kZyePhs2Xo96fWsE3h6BArKEEEJS0e5fLf70pz9h/fr1AIDhw4dj2rRpGDBgAGw2W5ZHRkjmGauq4Ni1E8b6egBAqKAA7gEDESouzvLICCGEEELaL55lazKZYLfbtcd50JOXDuYf8fqyploumAc1+ef6DNzo7dEBXH0vQf0kfVPxfrs8q0ofQNZnwBJCCGlZ+tcmPX12Le+xrn8N4b06ebatvlS/vvcmD5B5PB4AiMio5QEveg0gzcEXEQQCAa1SiR4P2PLM2Vj3M/r+9HyxAf1cEkIIaYqcDc7u27cPa9aswf79++FyuZCXl4devXrhnHPOQe/evdN2nbfffhuCIGDy5Ml477336AWVtBvGmhoUblgPQXczaqyvR+GG9ag9azTkoqIsjo4QQgghhETTlxuWJAlms1nbxjNU9ftETyzycnz6ifPoDFh9z9h4ovvHJsMn1PV9bflkJp+g549RyWFCCGld+N9w/WsScPK1gpdB5pmHvFKCvp8tz641mUxaFiIP1urxIC1/veABMsqyJbHwDG0elI3uB8sXt/GFBbIsNwjY8kUJ/OeT7lMIIYSkS84FZ//3v//h3nvvxerVq+PuM2HCBDz77LMYOnRos6+3b98+AOGetxSYJe2J47utEYFZTmAMed9tRe248VkYFSGEEEIIaQqecaoXnd0UjyzLWnYqz8Tl+Od8MlIURS14G11GmT/GA636LFtCCCHti/51w2g0AoAWmOWVHXgANlZ2LQ+88v7hoijGDNjy/fXZuNFlkflrJM37tW084B8KheDz+WK2X+CB2EQ/S2azGSaTifrUE0IIyaicCs6+//77uO666xAKhRL2OFq1ahVGjhyJpUuX4rLLLmvWNU0mE/x+P8rKypp1ntbowIED6NWrV0r7vvPOO7jqqqsaPL5z507Mnj0bq1atgt/vx+DBgzFz5kxcd911Cc+3ceNGjBo1CqWlpdi+fXtEuTaSeUIoBKPLFXe7weWCEAqB/fgGihBCCCGEtF36oG4qfdJS7aVGk+CEEEL0eBBV/zrCGNMCZbyfbXSwFjjZR12SJG1BEX8sOhuXl0aOxoO0vFSyvrQyaT0CgYD2/61v7xCr8gdfCCDLMnw+X4MWEPqsbf3PFyGEEJJpOROc3bVrF6677joEg0GYzWbccccdmDJlCgYPHgyHwwG3243t27fj7bffxksvvQS/34+pU6diy5Yt6N+/f5OvO2DAAGzYsAHHjx9HQUFBGp9R27dt2zaMHTsW9T/2KwWAb7/9Ftdffz0OHTqEWbNmxTxOVVXcfvvtUBQFCxYsoMBsFoh+f8Ltwo/7KPQGhRBCCCEkOxiD8OMkIzMYAJooJIQQ0gYJghDRy1YfrI0OvsUqpc8DtfrAL8945D3TeRl9/bl9Pl/EOXj/UH3lB34OfSBYfz6SOYqiaH1hFUWB1+tNqZUCL2PMM2Sjk3/0P2/8Z4UQQgjJhpx5BXryyScRDAbRsWNHfP755xg2bFjE9oKCAowePRqjR4/GzTffjJ/+9KeoqanB3Llz8eqrrzb5ujfeeCPWr1+Pd999Fw8++GBzn0artWjRIlx//fVxt1ut1gaPTZ8+HfX19Rg6dCheeeUVlJSU4Nlnn8WCBQvw0EMP4aqrrkKfPn0aHLdw4UJs2LABkydPxqWXXprW50EIIYQQQkhrZ6yqgmPXThh/XAQZKiiAe8BAhIqLszwyQgghJLOig7UAtCxJHqDVZ8qm0isdgBZo5QE5XuaYB+ei+5Gmcj59piVjTCulzB/jH5SRGRsPvEaXuuYB1nj4/vxnQP/zEJ0ZC0AL1pvNZpjNZvp/IIQQkhNyJjj7+eefQxAEPP744w0Cs9GGDRuGxx57DHfccQc+/fTTZl33V7/6Fd5++2088cQTGDt2LMaPb599Ns1mMxwOR8r7f//99/jyyy8BAEuXLsXgwYMBAPPnz8dXX32FjRs3YsmSJZgzZ07EcceOHcPs2bNht9uxYMGC9D0BQgghhBBC2gBjTQ0KN6yHoMv0MNbXo3DDetSeNRpyUVEWR0cIIYS0PFEUY/ZR58E9RVG0z3m2Le+JzgOnPGinKEpEuWR9ZizPllVVtUHmLP+aU1W10QFdHnTmvXR5n9xco+8nr3/O/PsYnY3Kv98AtO83AK2fMH9MFMWIoGqyTFj+/8q/14FAAIIgxBwDx/+/eM9ik8lEwVhCCCE5KWeCs1VVVQCACy+8MKX9L7roIgDAiRMnUr4GDyZG++1vf4u7774b5513Hq6++mpMmjQJ3bp1S1raYty4cSlfu63ZsmULAKB3795aYJabPHkyNm7cqO2jd++996K+vh5PP/00evTo0SJjJYSQtooxBrjd4S8cDnrTSQghbYDju60RgVlOYAx5321F7bj2uZiUEEIIiabPhE2EZ1bq+5Tqg7r8sWQkSYKiKFpQlf/LM2T1+/Gv9UHeYDAYM6AbHQDlZZP1fXZ5MDI6W1efMcqP48fycwHQnjPfxr8fvHww/zpW0JOfN5Wywo3FA8H6oK0sywiFQnEDsHxM/Pujz4o2Go30vpgQQkirkDPB2eLiYvzwww+wWCwp7c/369ixY8rXOPfccxO+QDPG8NZbb+Gtt95Kei5BEFK6cWurnE4nAKCkpKTBts6dO0fsw3366adYunQphg0bhhkzZmR8jIQQ0paxdevAXlwEbN8efmDwYGD67RDOPDO7AyOEENJkQigEo8sVd7vB5YIQCoEZjS04KkIIIaR102e96jNweXCTBwJ5sFafncmDt3w7cDLY2xg8m5MHk3lwl59PTx901Wf5Zov+ufOv9VnJ/DF9lixwshy1vuxzrJLEieiDzfp+wtQrlhBCSGuXM69kY8aMwbvvvosNGzbgZz/7WdL9161bpx3XGIlWXaWyva0LBoMxS8VEy8/PBxA7c5lnQfN9ACAQCGD69OkQBAGLFi2imyhCCGkGtmUL2IyZgH6R0Pbt4ccWLYRwauL2AISkw4EDB9CrV6+U9n3nnXdw1VVXNXh8586dmD17NlatWgW/34/Bgwdj5syZuO666xKeb+PGjRg1ahRKS0uxfft22O32Jj0HQnKN6Pcn3C78uI9CwVlCCCGk2fQljZPhwUQeUOWBRX2AURTFBqV/eVCTZ+pGX1+fNcvx4CNjTAtG6ssM6zNnY5Ua5oFffeYsDzzzc/Ax80zV6MxZ/i/PwOVZw4lKCjcHf148CGs0GqlPLyGEkDYtZyJkM2fOxAcffIAHH3wQ48aNSzjJ5vF4MHv2bBgMBsycOTPla6xatSodQ22TnnzyScycORO1tbUwGAw45ZRTcO655+LOO+/E8OHDG+zP+wLv3bsXFRUV6Nu3r7Zt5cqVEfsAwBNPPIGKigrcdtttGD16dGafDIDKykotSJyqioqKiK93794Nh8OBvLw87V/qVUEIyQVs3lORgVlOlsHmzYPw5pKWHxQhjbRt2zaMHTsW9fX12mPffvstrr/+ehw6dAizZs2KeZyqqrj99tuhKAoWLFhAgVlCCCGEEJJx0X1vU0060PfF5YFQHgyNzkjlFEVBKBRK29ibg1cNTFbSWB9k5vNmPPjNP+eZtTx4zAPPvCwxIYQQ0p7kTHD2zDPPxEsvvYQ77rgDo0ePxrx583DBBRdEvLirqoqPP/4Ys2bNQkVFBV566SWcddZZKV9j/HjqzxTP7t27tc9lWcbevXuxd+9evPrqq5g1axaeeOKJiBulsrIyjBkzBmvXrsXPf/5zvPbaayguLsZzzz2Hr7/+GpIkYerUqdq5582bh5KSEsydO7dFns+LL76IP/zhD806x6FDhxqUjzEajRHB2uh/LRYL3VBmCWMMHtkDALAb7PT/QNos5nIBeyri71CxF8zlgpCX13KDIu3eokWLcP3118fdbrVaGzw2ffp01NfXY+jQoXjllVdQUlKCZ599FgsWLMBDDz2Eq666Cn369Glw3MKFC7FhwwZMnjwZl156aVqfByGEEEIIIemk74trNpu1x/V9VvX76oO5+qxYvo0HS/ljPPuWz4HoyzNHj4PPseozanmJZR4wjc7k1Zdw5vtEz7fEyv4lhBBCSGI5E5z9yU9+AiDce/a7777DxRdfDJvNhv79+8PhcMDtdmP37t3wer0AgNLSUrzxxht44403Yp5PEAR8/vnnLTb+1kgURUycOBHXXHMNRo4cie7du8PhcODQoUNYsWIFnnjiCVRWVmLu3LkwmUwNgp0vvPACxo0bh3Xr1mHw4MER2+bMmYP+/fsDCE++BgIBPPPMM+jQoQMA4NixY3j99dexY8cOWK1WjB8/HlOmTMn5G7pQKISamhrU1NTE3C5JUsLgrc1mo6BhFMYYFIRXhEowNun7s6n6W/y9YjH2OMOLDPrl98fP+96EER1PT+tYCckJlUmqAjAW3oeCs6QFmc1mOByOlPf//vvv8eWXXwIAli5dqt1HzJ8/H1999RU2btyIJUuWYM6cORHHHTt2DLNnz4bdbseCBQvS9wQIIYQQQghpQTxomyn6ACwhhBBCck/OBGdXr14dcdPAGIPH48GmTZti7n/kyBEcOXIk5kqwxtyA/OIXv9D6oBpT6N3EGMMtt9wCQRDw17/+NaVr5KqePXvi008/bfB43759cc899+Dqq6/G2LFjsX//fjz55JO48cYb0bt3b22/4cOHY+3atXj44YexatUqBAIBDBo0CPfccw9uvPFGAMCSJUvw+eefY8KECbjhhhsAhP+vJ0+eDKfTqZ1r4cKFeOGFF7BixQrkteKAgqIoqKurQ11dXcztoijC4XDEDd7a7facD1Cnk1M9iiPKFnhZNQDAJnREqXQq8sWuKZ9je902/HHTHMjsZInXPc7d+OOmOXj8jKcwqLA87eMmhBDSPFu2bAEA9O7du8ECr8mTJ2Pjxo3aPnr33nsv6uvr8fTTT6NHjx4tMlZCCMkljDHA7Q5/4XDQxDshhJCY6PWBEEIIyW05E5wdN25cVm4cFi9eDEEQsGDBgpSCs6qqase09uBsMl27dsX8+fNxySWXIBQK4e2338YDDzwQsc+QIUPwwQcfxDy+rq4O9913H0wmExYuXAgAqK2txZQpU+B0OjF79mzMmDEDlZWVmDZtGtasWYP7778fL730UrPHPn36dEyZMqVRx1RUVOCyyy7Tvu7cuTNKSkrgdrvh8XiaPSYg/PPjdDojAtN6giDAbrfHDd46HA6tX0dr51YrUSGvBsPJEj5eVo0KeTX6GybCIRandJ5FOxZEBGY5mclYuGMB5o9elLYxE0IISQ/+OlhSUtJgW+fOnSP24T799FMsXboUw4YNw4wZMzI+RkIIyTVs3TqwFxcB27eHHxg8GJh+O4Qzz8zuwAghhBBCCCGENErOBGdXr16d7SGQGCZNmgSLxQK/34+NGzc26tjf/e53OH78OB5++GEMGDAAQDiT9sSJExgzZgwee+wxAECnTp3wxhtvoLy8HIsXL8bcuXO18sdNVVJSEnPCtzGGDBmCs846C4IgQFEUeDweuFwuuFwuuN1uuN3uiM+js7ibgjGmne/YsWMx97HZbAmDt6ksMsgFB5UNEYFZjkHFQWU9BosXJT2HO+TGAff+uNu/dx+AO+SGw5h6qU1CCCFNFwwGYTKZku6Xn58PADhx4kSDbVVVVRH7AEAgEMD06dO1aieZLAFHCCG5iG3ZAjZjJiDrFiVu3x5+bNFCCKcOy97gCCFEjzEIvC+qwQBQBichhBBCSAM0s9VIPp8PAFKaeGwLDAYDioqK8MMPP8Qt1RvL+vXr8fLLL6Nv37548MEHtce/+uorAMCFF14Ysf+gQYPQq1cv7Nu3D9988w3OO++8tIw/XSRJQn5+fsREsZ6qqvB6vQmDt4qipGUsXq8XXq8XlZWVMbdbLJa4wdu8vLyc+NmVWRA+Vhd3u4/VQWZBGITEY60JNJzU12NgqAmcoOAsIYRk2JNPPomZM2eitrYWBoMBp5xyCs4991zceeedGD58eIP9hw0LBxH27t2LiooK9O3bV9u2cuXKiH0A4IknnkBFRQVuu+02jB49OrNPBkBlZaUWJE5VRUVFhkZDCCEAm/dUZGCWk2WwefMgvLmk5QdFCCFRjFVVcOzaCWN9PQAgVFAA94CBCBWnVhmLEEIIIaS9oOBsI33++ecAgC5dumR5JC0jGAyiujrcDzTVbFZFUfCrX/0KqqrihRdegMVi0bbxDJlOnTo1OK6kpAT79u1r9GRoLtD3ku3atWG/VMYYfD5f3OCty+WCHGuypQn8fj/8fn/MbCQgvLCgR14eplrMableU4SYN+k+brUKhVJpC4yGEEJIc+3evVv7XJZl7N27F3v37sWrr76KWbNm4YknnohoX1FWVoYxY8Zg7dq1+PnPf47XXnsNxcXFeO655/D1119DkiRMnTpVO/e8efNQUlKCuXPntsjzefHFF/GHP/yhRa5FSCYxxuCRw+057AY79Z9rpZjLBexJsACkYi+YywUhL6/lBkUIIVGMNTUo3LAegq6qmLG+HoUb1qP2rNGQi4qyODpCCCGEkNzS7oKzv/jFL2I+fvvttycskacoCn744Qf85z//gSAIGDt2bKaGmFNWrlyJQCAAADjttNNSOmb+/PnYvHkzrr32Wpx//vkR26xWKwDEzPo8fvx4xD5tiSAIsNlssNlsWi89PcYYAoFAwuBtMBhMy1iCwSDq6+sBS+Kyz/9Zswbyj9m2+sxbq9XarIk9lSk4qmxNut9eZTU6sX7oIZ0OUWgbfXYJIaQtEUUREydOxDXXXIORI0eie/fucDgcOHToEFasWIEnnngClZWVmDt3LkwmU4Ng5wsvvIBx48Zh3bp1GDx4cMS2OXPmoH///gDCfeQDgQCeeeYZbaHYsWPH8Prrr2PHjh2wWq0YP348pkyZAlEUW+bJk4xgjEFBCAAgwUiBxGbaVP0t/l6xGHuc4cUT/fL74+d9b8KIjqdneWSk0SqTLF5lLLwPBWcJIVnk+G5rRGCWExhD3ndbUTtufBZGRQghhBCSm9pdcHbx4sUNJnoYY1iyJLUyUIwxWK1WzJo1KxPDa1GHDh1Cjx494m4/ePAg7rnnHgDhbMtrrrkm6TmPHDmCOXPmoKCgAM8++2yD7eXl5Vi+fDmWL1+Ohx9+WHv8u+++w/79+7V92htBEGCxWGCxWFAcp9xPMBhMGLz1+/1pHdPRY8dw4vDhBo/zLOF4ZZNtNlvcyXGVKdgrfwEnO5rSGE6oexBkbvQxjKcALSGE5JiePXvi008/bfB43759cc899+Dqq6/G2LFjsX//fjz55JO48cYb0bt3b22/4cOHY+3atXj44YexatUqBAIBDBo0CPfccw9uvPFGAOFe9Z9//jkmTJiAG264AQCwevVqTJ48GU6nUzvXwoUL8cILL2DFihXIo+BEq+RUj+KIsgVeFq7YYhM6olQ6Ffliw4okJLntddvwx01zILOTlVn2OHfjj5vm4PEznsKgwvZ3v00IISRzhFAIRpcr7naDywUhFAIzGltwVIQQQgghuavdBWd79uwZEZz9/vvvIQgCevTokXB1vtFoRKdOnTBq1ChMnz5dy+ZozUaMGIGzzz4bkydPxumnn46uXbvCYDDg0KFDWLlyJZ5++mnU1NQACGewlJWVJT3n3XffDbfbjeeffz5m6eepU6di3rx52LBhA2bMmIEZM2agqqoKt9xyCwDgjDPOaBPf20wwmUzo2LEjOnbsGHN7KBSKGbTl/3q9yUsJp0JVVTidzohJcT1BEGC328NB2wIb8jpYwlnDdjsCBUfgllILzHJOdhQH5LXoKg3VHjMKtqT9aAkhhGRX165dMX/+fFxyySUIhUJ4++238cADD0TsM2TIEHzwwQcxj6+rq8N9990Hk8mEhQsXAgBqa2sxZcoUOJ1OzJ49GzNmzEBlZSWmTZuGNWvW4P7778dLL73U7LFPnz4dU6ZMadQxFRUVuOyyy5p97fbIrVaiQl4NBlV7zMuqUSGvRn/DRDhE6lPXWIt2LIgIzHIyk7FwxwLMH70oC6MihJCwAwcOoFevXint+8477+Cqq65q8PjOnTsxe/ZsrFq1Cn6/H4MHD8bMmTNx3XXXJTzfxo0bMWrUKJSWlmL79u2w2+1Neg4kkphksbjw4z4KBWcJIYQQQgC0w+DsgQMHIr7mGX7bt2+HzWbLwoiyR5ZlLFu2DMuWLYu7j9FoxO9//3vMnj076flWrlyJ999/HyNHjsQdd9wRc59hw4bhN7/5DZ566ik899xzeO6557RtDocjLROq7ZXRaESHDh3i9gZWFEUL3irVJ4BDhzIyDsYYmM2LwpEybEXhAK7vx49oIiSU5Y9AT8cw2I0d4AnV4qD7fzjg3AQVirZfLTuIWvlgxLFWoRCi2i0jz4EQQkh6TJo0CRaLBX6/Hxs3bmzUsb/73e9w/PhxPPzwwxgwYACAcCbtiRMnMGbMGDz22GMAwn3s33jjDZSXl2Px4sWYO3du3NfCVJWUlKCkJHH5f5I+B5UNEYFZjkHFQWU9BosXZWFUrZc75MYB9/642793H4A75IbD6GjBURFCSPps27YNY8eODbfr+dG3336L66+/HocOHYpb6UxVVdx+++1QFAULFiygwCwhhBBCCMmadt+Ya9q0aZg2bRqM7XD13muvvYaZM2fi7LPPRllZGfLy8rQM4TFjxuDBBx/Erl27UgrM+nw+3HnnnZAkCYsWLUrY823evHl45ZVXMHz4cJjNZhQWFmLy5Mn4+uuvU+5rSxpPkiQUFBSgtLQUvXr1Trr/kPJyDBgwAKWlpcjPz0+5j19eVxH9L7DAVpS4DLEICWO6XovyognIM3WEKIjIM3VEedEEjOlyLUQkPt7H6nBA+TqlMRFCCMkOg8GAoqIiAOFM2FStX78eL7/8Mvr27YsHH3xQe/yrr74CAFx44YUR+w8aNAi9evVCMBjEN9980/yBkxYjsyB8rC7udh+rg8yCLTegNqAmcCLhdgaWdB9CCGkpixYt0tr3xPq4/PLLGxwzffp01NfXY+jQofjvf/+Lffv24a677gIAPPTQQ9i7d2/May1cuBAbNmzA5MmTcemll2b0eRFCCCGEEJJIu8ucjbZ48eJsDyFrLr/88phvdJrCarVi3759Ke9/66234tZbb03LtUlmDBo8GP11ffsYY/B6vXF73rpcLiiKgtLTTBCl+CXCubL8Eehgjp352sHSDWX5I7DPmXiCnYE17kkRQghpUcFgENXV4R6iqWazKoqCX/3qV1BVFS+88AIsFou27cSJcECpU6dODY4rKSnBvn37UFVVlYaRk5YSYsnbLrjVKhRKpS0wGkIIIS3NbDbD4Ug9k//777/Hl19+CQBYunQpBg8eDACYP38+vvrqK2zcuBFLlizBnDlzIo47duwYZs+eDbvdjgULFqTvCRBCCCGEENIE7T44SwhJDe8lG6/0E2MMHr8Tu6SPUjpfT8ewpNuTBWdTsXHjRtTk1yEvLy/cB9fhgNVqTdhjmhBCSHqsXLkSgUAAAFKujjF//nxs3rwZ1157Lc4///yIbVarFQBQWVnZ4Ljjx49H7ENyn8oUHFW2Jt1vr7IanVg/9JBOhygkrqxBCCGkbduyZQsAoHfv3lpglps8eTI2btyo7aN37733or6+Hk8//TR69OjRImNtDxhjgNsN5naDMUbvswkhhBBCUpSV4OwVV1wBQRDw1ltvwWQyZWMIhJA0EwQBFosVCKW2v92YOIPKbixs/qAA7N27D5WhyNJ9kiTB4XDA4XBoAVt98NZms6VcxpkQQtqrQ4cOJZzcPHjwIO655x4AgMlkwjXXXJP0nEeOHMGcOXNQUFCAZ599tsH28vJyLF++HMuXL8fDDz+sPf7dd99h//792j4k96lMwV75CzjZ0ZT2P6HuQZC50ccwngK0hBDSjjmdTgCI2Ru+c+fOEftwn376KZYuXYphw4ZhxowZGR9je8HWrQN7cRGwfTtkADXdusHx0wkw90neRokQQgghpL3LSnD2n//8JwRBgCzLWnBWFEWIogin0wmbzZaNYRFCmkmCETahI7ysOum+nlAt8kwdE27PFEVRUF9fj/r6+pjbBUFIGLx1OBwUvCWEtHsjRozA2WefjcmTJ+P0009H165dYTAYcOjQIaxcuRJPP/00ampqAABz5sxBWVlZ0nPefffdcLvdeP7559GlS5cG26dOnYp58+Zhw4YNmDFjBmbMmIGqqirccsstAIAzzjgD/fv3T+vzJM0ns2CD8sVHla0pB2Y5JzuKA/JadJWGao8ZBRsMAi32JISQ1i4YDKa0eD8/Px/AyVYHery1Ad8HAAKBAKZPnw5BELBo0SIYDFRALh3Yli1gM2YCsqw9FvrhB9QueQtFN02DqSdlJxNCCCGEJJLVu1LGWMKvCSGtiyAIKJVORYW8Ggxqwn0Puv+H8qIJCbYnL3PIEl+iyRhjWh/do0djTxzb7faEwVt6008IaetkWcayZcuwbNmyuPsYjUb8/ve/x+zZs5Oeb+XKlXj//fcxcuRI3HHHHTH3GTZsGH7zm9/gqaeewnPPPYfnnntO2+ZwOPDSSy81/omQjHGrlTiobICP1SXdV4SEsvwR6OkYBruxAzyhWhx0/w8HnJugQtH2q2UHUSsfjDjWKhSipzQKDrE43U+BEEJIhj355JOYOXMmamtrYTAYcMopp+Dcc8/FnXfeieHDhzfYf9iwcHucvXv3oqKiAn379tW2rVy5MmIfAHjiiSdQUVGB2267DaNHj87sk2lH2LynIgKzGlWFc8VKdLrjVy0/KEIIIYSQViQr0QOHwwGPx4PKykr06tUrG0MghGRIvtgV/Q0TcVBZn3Ay9oBzE7rZB6CDuVuDbbX+H3DAuSnhdaxCIXobBwP4MOF+p5SdAovHCpfLBY/HA1VNT0TX4/HA4/FoPQ4bjM9qTRi8pZLuhJDW7rXXXsN//vMfrF+/HocPH0Z1dTX8fj8KCgrQv39/nHvuubj11ltTutfz+Xy48847IUkSFi1alLA6wbx589CvXz+88MIL2LFjB6xWK8aPH4/HHnsMQ4YMSedTJM3gVI+mtFgLCAdmx3S9NuKeIM/UEeVFE9DNNgBrjy2NCNBG87E67JY/Q1/DucgXu6Zl/IQQQlrG7t27tc9lWcbevXuxd+9evPrqq5g1axaeeOKJiD6mZWVlGDNmDNauXYuf//zneO2111BcXIznnnsOX3/9NSRJwtSpU7Vzz5s3DyUlJZg7d26LPJ/KykotgzdVFRUVGRpNZjCXC9gTf8zy8UqoPj9Eq6UFR0UIIYQQ0rpkJTjbt29fbNmyBc888wzmzp2LvLw8bZv+ppsQ0jo5xGIMFi+KKGMYYG7sVb7Q9lGhYO3RpbosmcIfs2S2NsiSAYA+0rkwC3YAJ0sYHgwcSDqWUSNHoqejLHxNVYXP54PL5YLb7dayY/nnbrcbihJ/8rcxfD4ffD5f3DfmZrM5bvA2Ly8PJpOJ/h4SQnLa5Zdfjssvvzwt57Jardi3b1/K+99666249dZb03Jtkn6MMRxRtqQUmAWAsvwRMRdrAUAHSzeU5Y/APuc3ia8JFUeULcgTutDrJyGE5DhRFDFx4kRcc801GDlyJLp37w6Hw4FDhw5hxYoVeOKJJ1BZWYm5c+fCZDLhD3/4Q8TxL7zwAsaNG4d169Zh8ODBEdvmzJmjtTiYPn06AoEAnnnmGXTo0AEAcOzYMbz++usRC7ymTJmStrY1L774YoPxtjmVyYPPisuZk8FZxhg8sgcAYDfY6Z6BEEIIIVmTleDsZZddhs2bN2PRokVYtGiR9jhjDA6Ho1Hn4r1rCSG5xyCYtD5wVhSiE+uHE+oebbsKBfuc3ySdcO0k9kOhVNrs8YiiCLvdDrvdHnM7Ywx+vz9h8DYUCjV7HEC491EgEEB1dez+vEajMWHw1mKx0BtJQgghOUlBKKX+81xPx7Ck25PdKwCAl1VDQQgGUHUKQgjJZT179sSnn37a4PG+ffvinnvuwdVXX42xY8di//79ePLJJ3HjjTeid+/e2n7Dhw/H2rVr8fDDD2PVqlUIBAIYNGgQ7rnnHtx4440AgCVLluDzzz/HhAkTcMMNNwAAVq9ejcmTJ8PpdGrnWrhwIV544QWsWLEiInGAtD2bqr/F3ysWY48znK3dL78/ft73JozoeHqWR0YIyRTGGBSE5/EkGGkejRCSU7ISnL3//vvx6aef4quvvmqwjfrOEtJ29ZBOR5C54WSx+7jGki90RQ+pZd4sCYIAq9UKq9WKkpKSBtsZYwgGgwmDt4FAIC1jCYVCqK2tRW1tbcztkiQlDN7abDa66SSEENIq2I0dkmwvbJmBEEIIyQldu3bF/PnzcckllyAUCuHtt9/GAw88ELHPkCFD8MEHH8Q8vq6uDvfddx9MJhMWLlwIAKitrcWUKVPgdDoxe/ZszJgxA5WVlZg2bRrWrFmD+++/n3rXt2Hb67bhj5vmQGYnkzv2OHfjj5vm4PEznsKgwvIsjo4QkglO9SiOKFu0RaM2oSNKpVOpDQohJGdkJThrs9mwZs0afP7559i0aRO8Xi8eeeQRCIKABx54gHoxEtJGiYKEPobxOKisR7WavHxlJ7EfekinQxSkFhhdcoIgwGw2w2w2o1OnTjH3CQaDcLvdcYO3Pp8vLWNRFAX19fWor6+PuZ1nCccL3trt9rSV7iKEEEL0JBhhEzqmnD3rCdUiz9Qx4fZU2ISOkGBMaV9CCCG5bdKkSbBYLPD7/di4cWOjjv3d736H48eP4+GHH8aAAQMAhDNpT5w4gTFjxuCxxx4DAHTq1AlvvPEGysvLsXjxYsydO1crf9xU06dPx5QpUxp1TEVFBS677LJmXZcktmjHgojALCczGQt3LMD80YtiHEUIaa3caiUq5NURbVa8rBoV8mr0N0yEQyzO4ugIISQsK8FZ7qc//Sl++tOfAgAeeeQRAMDs2bNhs9myNqba2lp89dVXOHDgAFwuF/Ly8lBWVoaxY8c2+yadEBIO0JYZRsMdrEIArpj7GGDGAOP5sAj5LTy65jOZTCgqKkJRUVHM7bIsJwzeejyetIxDVVXt/LEIggCbzRY3eOtwOCBJuREUJ4QQ0roIgoBS6dQGEyLxHHT/D+VFExJs35r8mhBRKp1KVSMIIaSNMBgMKCoqwg8//IC6urqUj1u/fj1efvll9O3bFw8++KD2OK/cduGFF0bsP2jQIPTq1Qv79u3DN998g/POO69Z4y4pKYlZhYlkjzvkxgH3/rjbv3cfgDvkhsPYuDZrhJDcdVDZEPN9CIOKg8p6DBYvysKoCCEkUlaDs3rjxo2DIAhZCwYcPnwYv/nNb/Dee+9BUZQG2w0GA6666io89dRTKC1tfu9LQtq7MsNZ2C1/HuNmSUAfw/hWGZhNhcFgQGFhIQoLC2NuVxQFHo8nbvDW7Xanpfw7YwwejydhMNhqtSYM3hqNlJ1ECCHxfPfddwgGg5AkCQaDIeZHrG2SJEGSpFYfZMwXu6K/YSIOKuvhY3UJ9z3g3IRu9gHoYO7WYFut/wcccG5KeLxVKERPaRStgCeEkDYkGAyiujpcgSHVhfKKouBXv/oVVFXFCy+8AIvFom07ceIEAMSsgFRSUoJ9+/ahqqoqDSMnuaYmcCLhdgaGmsAJCs4S0kbILJjw/YeP1UFmQRgEqtxJCMmunAnOrl69OmvX/uabbzBp0iTU1tbGDXqEQiEsXboUn3zyCf7973/jtNNOa+FREtK2OMQS9DWcG7P/Q3ueXJUkCfn5+cjPjx2cVlUVXq83YfA21gKTpvD5fPD5fKisrIy53Ww2Jwzems3mtIyDEEJao/379zerGkKyAG5jA77x9s9kiXuHWIzB4kWQWRAh5tUeDzA39ipfaF+rULD26FKU5Y9AT8cw2I2F8IRqcdC9FQecm6Ai8nWtj3QuzIIdAGAUbDSxQgghbdDKlSsRCAQAIOX5l/nz52Pz5s249tprcf7550dss1qtABDzvc3x48cj9iGEENJ66d93JNqH3kMQQrItZ4Kz8fCgA5/sTzeXy4VLL70UNTU1EAQB1157LaZOnYqhQ4ciLy8PLpcL3333Hd566y0sXboU1dXVuOSSS7Br166MjIeQ9iRf7Io8oQsUhACEe9S19kyhTBNFEQ6HAw6HA126dGmwnTEGn88XN3jrcrkgyw177TRFIBBAIBDQVqFHMxqNCYO3FouF/r8JISQOWZbT9vc6EUEQGh3cbUpw2GzI1wLBVhSiE+uHE+oebRwqFOxzfoN9zm8SjreT2A+FElWxIYSQ1uzQoUPo0aNH3O0HDx7EPffcAyDcNuaaa65Jes4jR45gzpw5KCgowLPPPttge3l5OZYvX47ly5fj4Ycf1h7/7rvvsH//fm0fQgghbV+AeWBFYbaHoVFVFYFAAD6fD36/H36/X/u8vr4ePp8PEydOzPYwCSFplpPB2X//+994+eWX8eWXX6KmpkZ7vKioCOPGjcPtt9/e7D4g3PPPP49jx47BZrPh/fffb7C6smP01dk7AAEAAElEQVTHjigrK8PFF1+Mm2++GZdddhmOHTuG559/Hg888EBaxkBIeyYIAgyg1WrpwnvJ2my2mL2OGGMIBAIJM2/5CvXmCoVCqKmpifg7rmcwGCKCtdH/2mw2Ct4SQkiGMcYQCoUQCoUyfi1RFE8GbA0iuo8VYOuceql+yZuPUHUHfG/4PmmAmF4/CCEkd40YMQJnn302Jk+ejNNPPx1du3aFwWDAoUOHsHLlSjz99NPae4g5c+agrKws6TnvvvtuuN1uPP/88zEXsU6dOhXz5s3Dhg0bMGPGDMyYMQNVVVW45ZZbAABnnHEG+vfvn9bnSQghpGWpTMFRZWvS/fYqq9GJ9UMP6XSIQvpbLCqK0iDIqv88+rF0zcMRQlqXnArO+v1+TJs2De+99x4ANCgxXF1djX/+85/45z//iauuugqLFy9udtmZZcuWQRAEzJ49u0FgNtrEiRPx4IMP4qGHHsKyZcsoOEtIK1DpO46ejrJsDyNnCIIAi8UCi8USs98SEO7vlCh46/P50jIWWZZRV1eHurq6mNt5lnC84K3dbs9oOU5CCGmOHj16oHv37loGLP9QFKXBY+2FqqoIBoMIBoMAgJ3/BsrOMaGoV/Ie5lU7Qzi0/iiYejSlayXL9k1XuWgKBBNCSOPJsoxly5Zh2bJlcfcxGo34/e9/j9mzZyc938qVK/H+++9j5MiRuOOOO2LuM2zYMPzmN7/BU089heeeew7PPfects3hcOCll15q/BMhhBCSM1SmYK/8BZwstfcLJ9Q9CDI3+hjGJw3QyrKcMLga/Tl/v0MIIYnkVHD2mmuuwUcffQTGGGw2Gy644IIG5YU//vhjeL1evPvuuwgGg/jggw+adc09e8Ll1K6++uqUx/jQQw9h9+7dzbouIaR5QmoIS/ctSbrfo5vnYFL3i/DLAXfAKCaf/CXh0mFFRUUoKiqKuV2W5YTB2+b0WNRTVRVOpxNOpzPmdkEQYLfb4wZvHQ4HJCn9KyAJISQVw4cPx6mnnpp0P8YYVFVNGsCNty3WvvGOT1dP8nRhKnDw62DC4CxjDDs+8sFXnXqGLRBera4oSousQk9XwFeSJDhCIXTM+IgJISS7XnvtNfznP//B+vXrcfjwYVRXV8Pv96OgoAD9+/fHueeei1tvvRW9evVKei6fz4c777wTkiRh0aJFCRdvzps3D/369cMLL7yAHTt2wGq1Yvz48XjssccwZMiQdD5FQgghKZJZMKU+sckcVbamHJjlnOwotjk/g1TdGYGAH4FAEMFAAP6AH8FAEIFAAP5AAIqSeEFtyMugUDyWENJIOROc/fDDD7F8+XIIgoDrrrsOCxYsQIcOHRrsV19fj7vuugt///vftWMuueSSJl+XBxHiBSGi8f3SFXwghDReSA3h8c2PYGN14r503MeHV6DSdxyzhz9CAdo0MBgMKCwsRGFhYcztiqLA4/HEDd663e4GlRGagjGmnS8em80WN3ibl5cHgyFnXgYJIe2UIAhaBqbZbM7otRhjKQVzGxMcjveYqqopjUkJAt4aBbai2ItpfLVqowOzLS2dGdCdDAYM7NywLYHe8uUfol4Q4waD68TapNc5dvw4jC5z3IAxVaYghGTS5Zdfjssvvzwt57Jardi3b1/K+99666249dZb03JtQgghTedWK3FQ2QAfq8vI+UVIKMsfgZ6OYbAbO8ATqsVB9/9wwLkJKk4uWg1aTwDdTwAAjD9+2CPOZPrxIz7GGHy1Kg5+HYSnKrX3QfGYTCZYrVat6p0oijAaaS6TkLYoZ2alFy9eDAC45JJL8Pe//z3ufgUFBXj99dfhdDrx4Ycf4rXXXmtWcLZTp044evQodu7cidGjRyfdf9euXdpxhLRlos8LJS+v0ce5Q27UBE5kYEQnLd23JOXALLex+hs8+91TuLb39RkaFVBk7gSH0ZGx87cWkiQhPz8f+fn5Mberqgqv1xs3eOtyuVKe1E/G6/XC6/Xi+PHjMbdbLJaEwVuTifohE0LaDkEQtCBcpqmqGhG0TRTwDXnqEeywFxAig7BMBUIHOqJ7dyHh8elY8NOa+P0BuBIEg11GJ9A98TnWfLkGeaHYr9PAyf7A8TJ/G/M49QcmhBBCCCF6TvUoKuTVYEjP3E80ERLGdL0WHczdtMfyTB1RXjQB3WwDsPbY0ogAbXMJggBbkYT+kyyo+MwP19GTz4sHWfUB11if83+jF0nW1dUhFAqlbayEkNyRM8HZ9evXQxAE/Pa3v01p/1mzZuHDDz/E+vXrm3XdUaNGYdmyZXj66afx/vvvJ93/6aefhiAIGDVqVLOuS0jWqCrse5KX5e6wYQO8PU+Bu7wcSCF7YnvdNizasQAH3PvTMcpGMYpGXDPwOkzudwV65PfEIedBLNvzPv6x802E1JM3MP859gU2/7AKAOAWRSDNk4ECBJziKMMdg+7CoMLytJ67LeG9ZB0OB7p27dpgO2MMPp8vYfA2XRlKvC9IVVVVzO0mkylh8NZsNtOkMiGExCCKYqNWeTvVnjiibIGXVQMAbEJHlJpORf5ZDV8nokWXhW5suefGlItuL4Fg3h+4JeiDt6kGdxtbLpoCwYQQQggh2aGqakQ/Vq/PC1fJVjBLZgKzAFCWPyIiMKvXwdINZfkjsM/ZuKSPVIiSgPKflKB78GxYLVaYzWaqSEMIiStngrMnToQz7QYNGpTS/gMHDow4rqluvPFG/POf/8SyZctw88034y9/+QsKCgoa7Od0OjFz5kx88MEHEAQBN910U7OuS0hWqCoKvtkAc5xAVDTbwe8h+byoP2NkwgDtpupv8cdNcyCz9ATMGsMoGvHKpMUYUjxMe6xXYW/MGHk/flp2Hm77+GaE1BDO9LkxveY4yoM+AMA2kxUvFnXGOmv6Ml0ZGA6492P2N7/FwyMexYiOp6ft3O2JIAiw2Wyw2Wzo3Llzg+2MMQQCgYTB23RNKAeDQVRXV6O6+gTMhvCEfEAWAIQndw0GQ8LgrdVqpYlgQghJQb7YFXlCFygIL6qSYEz576coijCZTBmvdhDdHzgd5Z+jHzO1k+CvXq73B25KcFgURXr9J4QQQkibJMuyttCdB1z5v7E+j56fkUzA8Ovscc6eHj0dw5Juz0RwFgBCRhfybQ4YBKrERghJLGeCs3a7HXV1daipqYnZazZaTU2NdlxzTJ48GRdffDE++ugjvP7663j33Xdx3nnnYciQIcjLy4PL5cK2bdvwySefwOsNNye/5JJLcOmllzbruoSkQgiFIPr9aTuffc/ulAOznLmqCvmbN8HTr3/M7YwxrNr5Dnoo8UvjcVWCG24hvVkY1wy8LiIwqze0+FRcPXAqvtu4EH859j2MODnhWR704S/HvsevuvbC/yy2tI5JZjKWVPwNw4tOo4m5DBAEQSv/UlxcHHOfQCAQEbSNDt76G/F71btDCBN6+VGaHy55c8QpYdV+C/bVGiHLMmpra1FbG7u/nyRJWpZwrOCtzWajVZSEEPIjQRBgSNLPKZtaoj+w5HIBX36RcJ/x48bBbTTGDfgeDf6AL3yfJjyHxWKBSTBpgdH2Ip39gRPRlxBPlM2basDXdKIK1FSHEEIIIenGGIMsyzGDq/ECrq2hxK7dmDi2YDcWtsxACCEkgZwJzvbr1w8bNmzAO++8gwceeCDp/u+++y4AoH//2AGjxvjHP/6Bn//85/jggw/g8XiwbNkyLFu2LGIfXsLsyiuvxN/+9rdmX5OQRIw1NXB8txVGlyuzFxJFCOVDIA4YABQUAPX1UHftAtv2HaDr+Wk5ehSWo0fjnmYuzgZwdtLLqWDYK1TjKWkVtorH0vEMMLnfFQm3X9bvSlz06ZyIwCxnBMMD1T/gutK+aRmL3m7nLnhkD/WgzRKz2Qyz2YyOHTvG3B4KhRIGb/linB75MqYO9UDSxU9L8xVMHerB3zY7cNiZ+GVUURTU19ejvr4+5nZBEBIGb+12OyRJato3gRBCSJtU0rkzOublxd1+0H0A+DrxOc6cOBJnFJ8JoHH9gVMt/9ze+wMzxhAKhdI2eVlYU4urkuyzfPmH8HTu3OSM4FRKRdOiQ0IIISS3McYQDAbjBldjPdbSC/WUIOCpUmAvztxchydUizxT7Pkgvj1TbEJHSEittQshpH3LmeDspZdeivXr1+Oxxx7DmWeeiQkTJsTd94svvsBjjz0GQRDSksFqtVrx3nvv4V//+hdefvllrFmzRsvMBYCioiKcc845uP3223HBBRc0+3qEJGKsqkLhhvUQMj15JYqQLrkUQknJycc6dIB01llgvXpB+Wh5RIA2LZeEgH6sE16Ur8B9huVYLx5q9jl75PdMvN2UB0MwfpZk36AfDkWBmwJg7YrRaESHDh3iVmpQFAVutxs9Kv8BKcavoiQCF/b34uVvkmeMJ8IY08ozH42zAMJut0cEbTvWO9GrWVclhBDSVoXUEJbuW5J0v0c3z8Gk7hfhlwPugFE0Nqo/cHOk0h84XeWi20sgmPP7wy0fMqmx/YEb0xuY+gMTQgghDamqikAgELdkcKzP1TTP5aWT2WyG1WqF74ABto4+CBkqJHbQ/T+UF8WPLRx0b83IdQWIKJVOpfsYQkhKciY4e9ddd2H+/PmoqqrCeeedh6lTp2LKlCkNygu//fbbWLp0KRRFQZcuXXDXXXelbQw/+9nP8LOf/QxAuMesy+VCXl4e8vObN/lOSMoYg2PXzswHZgEI5UMiA7P6bZ07QygvB9uamZsVIyT8SjkL64VDvHVnkx1yHkSvwt5xtx89+g16JDheBFCihNIenO2fPwB2Q2Z7aJDMkSQJhQ4zbMfr4u7T2aFi8kXno94TbJB563a70/aGyOPxwOPx4Pjx4wDC2TPJgrPH/7cFpg6FcDgcGe/BSAghJDeE1BAe3/wINlan1j/r48MrUOk7jtnDH4FRbJnV/a21P3Cy49sL6g9MCCGENI+qqin3avX7/QgEAjm74EzfcspqtTb4PPoxs9kc0dbJrVbhoLIePlaX9rEdcG5CN/sAdDB3a7Ct1v8DDjg3pf2aVqEQPaVRcIix228RQki0nAnO5uXlYfny5Zg0aRJqa2vx5ptv4s0334y5L2MMHTp0wPLly+FwZKZkaH5+PgVlSYsTZBnGOOVP000cMCDJ9oFQMhScBYBy1gUOmOBG83rQLtvzPmaMvD/u9lXff4ZpzbpC4xkEA37e9yaa6GnlJNmdcLsAoLSTA51LG3aBY4zB6/XGLZvscrmaNJkrKgpGbEz+JqLkibnY8cE/8fXos2C02eKWTXY4HDCbzfSzSgghbcAruxamHJjlNlZ/g1d2LcT0QXdnaFTZ0RL9gTnGWLPLPSc73uhKfE/SFmWjP3Cqwd3GZATzLGBVVSMmpAkhhLQNsiyn3KvV5/MhGGzeHFgmiaIYM8gaL+Da3LkEh1iMweJFkFkQIeZt1tgDzI29yhfa1yoUrD26FGX5I9DTMQx2YyE8oVocdG/FAecmqIicj+kjnQuz0PQEC6Ngg0GghfGEkMbJmeAsAIwcORKbN2/G/fffj/fffz/mxLUkSbjqqqvw1FNPoUePRPlwqfnJT34CQRCwcuXKlN64q6qKiRMnQhAEfP75582+PiFZU1DQvO054h8738TEsvMxpHhYg21bq7bg4/0rWyw4K0DAKY4y3DHoLgwqLG+hq5JcJAgC7HY77PbYN/eMMfj9/phBW/55dJ86UVFw3iefocfhwymNYdCOnXC43Pj0/ImoDgRQXV0dcz+j0ZgweGu1Wil4SwghOUT0eaFE9Zz94tgqfHx4RcRjRtGIawZeh8n9rkCP/J445DyIZXvexz92vomQevI15uPDKzC0wzCc0+Xclhh+y2IMQtAZ/tSUD2Tg9Uwf3MsUtncf2NJ/JNxn3Lhz4O/WrdHln6k/cHr7Aydy5ZVXZvwahBBCmo4xBlmWU+7V6vf7W+T1o6kMBkPcIGusgKvRaMzKe3+DYGp2YNOKQnRi/XBC3aM9pkLBPuc32OdMvHixk9gPhVJps65PCCFNkVPBWQDo0aMH/vGPf6C6uhpr167F/v37tfLCvXr1wpgxY9CxY/yG3o21evVqCIKQcgYTY0w7hpB0YwYDQgUFLZM9W18PxOm3qW3PIHeeFXNHzG/0JNlx33H8cfMc7euQGsIvP74JVw+cisv6XYke+T1w8MfJx7d3voUeavIV97NP/T18CUojp6rI3AkOY2ay+UlDzOUCKqsyd36W/HeAHToEJjibdH7Ljx/FAGB3hD+6dNW2B4NBeL0eeL1eeDwedHj/A3RMMTDL9Th8GONXfYFNp41IuB87XgkngFjPRJJE2Gw22O122Gw22H78124L/2u1WiBkqlFMY5QUQ4gKVhBCSKuiqrDv2R1nIwPEcLn8DhvWw9uzDO7yckAUsan6W/x567yIvY2iEa9MWhyxeK1XYW/MGHk/flp2Hm77+OaIAO0zW+fCYczDiI6np/1pZYv58JfI2zAPpqrNAIBg8XC4Rs5CoPu47A4sQzp37gKhrCxt54vuD9zcbOBEGcLtJRBMCCGkZTHGEAwG4wZXYz2Wy+0KTCaTFlhNVD6Y/5vJhWO5qId0OoLMDSc7mvIx+UJX9JDazv0vIaR1ydm/0h07dsQll1yS7WEQ0rIEAe4BA1G4YX3G+86qu3ZBOuusBNt3ZuzaTBAQGjwMPfMa34ehp6MMk7pfFJEdElJDWLL9dSzZ/nqTxtPVVgrZUdakY0nLY1u2gM17CthTkdnrlOYBT52feJ/7fwN2xJWR6xsBFPz4EZPJBMfNN8E+9VoYevWCvH8/PG8thfu1xYCuVFKf/fvRZ//+jIyRy4kpVUEA69sHwqxZEE5tmElPCCE5TVVR8M0GmKtiLDqyuSF0rIRg8QMAmN8C2wkPpG+8qDv9DLyx5zWwqL/E1wy8LmZVEQAYWnwqrh44NeK+iYHh73sWY3jRaW1iEarp2AYUfTwNgi4AbarajKKPp+HExe8g1GVkFkfXOrSG/sBNCRgTQghpvRhjCAQCKfdr9fv9UFU128OOy2w2p9SrlX8uSVK2h5zTREFCH8N4HJDXopYdTLp/J7EfekinQxTo+0oIyY6cDc7mKpcrPAlvsViyPBLSVoWKi1F71mjkfbcVBpcLmZoeY9u+A+vdG0JJScNtx4+DbduW/msCkPPy4BoyFHJRUZPP88sBd6DSd7zRfdVI68fWrQObMRNogR5kOc1kQvF778Ksy4g19uuHwjkPw3rRRai6akpEgLZdYAzYUwF2+x3AX/4M4cwzsz0iQkg7J4RCEP3+lPa179kdOzBr8ULodjCi0Ihg8QPdDsJ8WIR9E6DUV6MXIu+rriw5H6ym5seT2yFEtW+5rN+VDRa17XHthkf2tIkqIAX/+V1EYJYT1BAK//M7VF31WRZGRWLJtf7Azc0G5o9RIJgQQpJTVbVR/VoDgUDOVlsQBCHlXq1WqxVms5l6kWeAKEjoaTgTtaHEwdmBhkmwi+mrzEkIIU1BwdkfpbpC/J133gEAlJZSLXqSOXJREWrHjW/UpF4yoteLDt9sOPmAqkJZ/iGE8nKIAwaGe8zW10PdtTMcmI1aXVg7ciRUq61ZY1AtFjCjsVnnAMKl+mYPfwTPfvcU/nP8y2afj7QOjDGwFxdRYBaA4+abIgKzeubTT4PjphvhfvmVFh5VjpBlsIUvAaNGtYnsL0JI62OsqYHju60wuppRWUEUIZQPgYBVQIxbQUEAUHIUjoM2vIXrG+7wyX8RERoqKoJ09tkQOncBAPTI79H0seU4IVAPY82OuNsNNTshBOrBzHFrU5A2qiX6A3OqqmqB20AggBq+WIIQQtowRVEa1a81EAhke8hxiaKYcq9Wi8UCs9lM7z9zhEEwwSoUwsfqYm63CoUUmCWE5IR2F5z9yU9+EvPxSZMmJSwPoSgKfvjhB+zbtw+CIGDChAmZGiIhGmY0QklDMBMAlLw8eHueAtvB708+qKpgW7dC2bo14bHenqcgVNI5LeNIF6NoxLW9r08anL1j4J3AkRktM6h2hDEG9uOsryClvsClWdxuYPv2zF+nFbBPvTbx9uumtt/gLABs2xb+eaEetISQFmasqmp+ewpRhHTJpUAHB9hXS+PvZwoAogKoKZRiq6mB8tFHEC+YBLF7dxx0Nswm6OXoDbvB3vRx5wjJcyzhdgEMkucY5DYWnGVHj0Lo0zvbwyA/EkURoijCaDTCaDQiFGqYyU0IIbkuFAo1ql9rLv+tMxgMCUsGRwdcjUYjBVtbsZ7SSOyWPwdDZOKJABE9pVFZGhUhhERqd8HZ1atXQxCEiDIYjDGsWbMm5XOUlJTgwQcfzMTwCMkod3k5JJ83dtm8OALFxXCXl2dwVJlVZKbVcOnmd4bgPBJAyBuOzhptEvJLzbDkp2chQWsidbJBzlDP2UQMvXol3l5W1jIDyWHfHzgAW+fOyMvLg8VioTfWhJDMYwyOXTubF5gFwhmzJSVgnqOJ9xMAZggBwRT7ZKkq1G82QCgtxbI97zfYfGO/W+hvZQ5ioRDY//01+Y73zoR65RUQ7psJIU2LOwkhhLQdjDGEQqGU+7X6fL6cLtFuNBpT7tdqtVpbpGoCyR0OsQR9DefiiLIFXlYNALAJHVEqnQqHWJzl0RFCSFi7e2UaN25cxKTDF198AUEQMHbs2ISZs0ajEZ06dcKoUaNwww03oGNHCviQVkgUUX/GSORv3gTL0cQTfkA4Y9ZdXg5QHwzyo4BbRnWFN9xA+Echr4LqCi869bfD7Mjgy4rDAQwe3DLZs5IAx+WDku7W8bdnw/PZPtS/vhlQWq73jbx/P4z9+iXc3p5VFhfjk7VrwZs0SpKEvLw85OXlweFwwOFwaJ/n5eXBZrNRQIIQ0myCLMNYX9/s84gDBqRhNHFUVWH7Dxvx9s63Ih4+p/N4nNbpjMxdlzQJC4XA7vsN8PXXqR3w3vtgPxwF/vQ0BWgJIaSNY4whEAik3K/V7/dDjWpflUvMZnPK/VotFkvCOVxCACBf7Io8oQsUhDO6JVA2NCEkt7S74Ozq1asjvubN1z/++GPYbM3rp0lIqyCK8PTrnzQ4WztyZM6VMibZV3fQFxGY1bDwts6DM1dGVhAEYPrtYDNmZrbvrCSg6L4xsJzaJaXd7RN7Qyq2oeZPa1ssQOt5aykK5zyccHt7pYgivhl5uhaYBcKtCerq6lBXVxfzGFEUIwK20cFbu731l/kkhLQiBZkttzvj818jxCLLDl7f58aMXpOcxFwuoDK1Kjbs//6aemCW+/prsDmPALfektr+JcUQqA0AIYRknaqqCUsHx/qaNbNaR6YIgqAFU1MJuFosFm1+lpB0EgQBBpiyPQxCCImp3QVno82ZMweCIMBkoj/UhOip1vazWEFyHYZclMEslVZKUPyQZLf2taoAsi9+FobsUyB6T0DM5ALW4X3AXnoK7K9/BQ4eAjLwZtRx+aCUA7Oc5dQuKLxjJNwf7Ej7eGLx//tdBH42FqbBDbN7g9t2wP/JezCUtsxEq1LrB/Nmv7cQA1BTVISvzh6Dys6NW1iiqiqcTiecTmfM7YIgwGq1wmq14mc/+1kaRksIaYuYwYBQQUHzs2fr64EOHdIzqCjbhGOoVT2ALmlgUveL0M1empHrkZPYli1g854C9lQ0/SQmExw33wT71Gth6NUL8v798Ly1FO7XFgPB4Mn9PvsM7LPPUjunIID17QNh1iwIpw5r+tgIIYREUBQl5V6tfr8fgUAg20OOSxTFRvVrNZvNlKFICCGEJNHug7OPPPJItodACMkQA1NR+t1rSffr+O9p8Ay6AfVjHgUkWqhh9B1G/vFPYQxGZnX4lA4Ark5wpIC87z+AVarN6PhgAfDrgQAGZvY6nCABpeMgdD0TsBYDviqwo+uAI18C7GQPHtvoHrCN7tEyYwIAz4dgGz5s8LARQMnjE1psGAyAjALUiyMQEjq12HUBQFXDEx5erxf1JhPqVRWFbjcklwtutxtutzstq8kZY/B6vfB6vWkYNSGkzRIEuAcMROGG9c3qO6vu2gXprLPSOLCwEBQskv4bEZg9reMZ+OWAO9J+LRKJrVvX/MofJhOK33sX5tNGaA8Z+/VD4ZyHYb3oIlRdNSUyQJvy4BiwpwLs9juAv/wZwplnNn2MhBDSSlX6jqOnoyzhPqFQKGF/1ujHQqHsL2CNR5KkhCWDowOuRiOVgyWEEELSrd0HZwkhbZOBqfjT8YPo5EutP6l9xxuQ3IdRc/6r7TpAa/IcQIcj70JA7vaiaVGCBGHEXRDyy04+Zu8Coe9ksOJTwTYviAjQtkcCACPq0VH9ErWlVyFoL2uxa0sAHD9+lMTYrqoqvF4v3G43XC4XXD8GbV264K2itO//P0JIeoWKi1F71mjkfbcVBpcLTZnGZNu+A+vdG0hTRXUVDHuFajwlrcJW8Zj2+KTuF+GXA+6AUaTepJnEGAN7cVGzWzI4br4pIjCrZz79NDhuuhHul19p+gVkGWzhS8CoUTQBTwhpM0JqCEv3LUm636Ob5+As+1icb70QIX8oZvA1l983GI3GRvVrNVJfckIIISTrKDhLCMk6IVAPyXMs+Y5RrN4j6B30x9x2a10lxvrcMbfFYzm0CoWr7ob7tHsbPZZ4FHsXMHNme8elDWNwnPiSArN6peMiA7M6QkEZWOk5wOHVLTqkXCVAhaN6DWpspwACIAjhSWjGDECTwhPNx3vJOhwOdOnSsFQ1Yww+ny9u8NblckHOZH9jQkibJBcVoXbceAihEER/7PsUPdHrRYdvNpx8QFWhLP8QwqDuKf31rB05MqIdxVHvETy++Q/a11WCG24hMqNyzvBHcUYxZUi2CLcb2J7aYsFE7FOvTbz9uqnNC84CwLZt4fFSD1pCSCvDGEMgEIgIqLq8LiyuegUVod0pneO/nq+wt6oCI4+PgYjs9j81m80x+7LGC7hKUiZ7CxFCCCEkE3I2OKuqKmpra+H1epOWJOzZs2cLjYoQkk6mYxtQ8J/fwVjTtD6dJQDeTnVnyQSMugs47RagqB9QswfY+Fdg/QJAOTlhadu3HLZ9y5s0nlgYBMhFA1F39pMIdRmZtvNmgqAGYAo0PkjelgldE09cC13PAqPgrMbkPwqz8QfkFe6DyRTuuRgMFsDlGohAoDjLo2tIEATYbDbYbDaUlDTMveWTPG63G5WVlahvbh9JQki7woxGKClkpih5efD2PAW2g9+ffFBVwfbshnBK4mP9XbshVBLZZ9svWLBfrEl4XIk18hjGmFYIQpBAmZM5yNCrV+LtZWUtMxBCCGkBqqpq2as84FrrrUWl9ziCgQACgSD8AT+CgSACwQCCgQCipw53F+7AUcfhRl23ynYcm4o3oH/doJSPsSgWGNX41bcEQYgZYI0XbLVYLBDF7AaHCSGEEJJ5ORecXbx4Mf7v//4PGzduRCAQSLq/IAiU1UJIK2Q+/CWKPp4GQW2BPiySCbj5S6C7LtBWPAi44Blg8FXA4vERAdp0EsBgrNmBTh9NQc2k1xHoPi4j1yEZYk0SUEy2vb3Jt6KoeDME4eTMiMlUj6Ki9ThxYjRCoaIsDq7x9BMpZrMZxcX0/00IyQx3eTkknxfmqqrkO+v4e8Yq6t44fmcIziMBhLzh6KzRJiG/1AxLPpU8TAuHAxg8uNnZs/L+/TD265dwe7OVl4fHSwghGRCqrUXNj9mtyfq16ucDa8wnsLXjZrjMUQslzT9+pMgoGnHNwOswud8V6JHfE4ecB7Fsz/v4x843EdLNSxx1HG50ULdY7IxLHJejf96ABgFXs9lMi54IIYQQ0kDOBGcVRcGVV16J5cvDGWvJsmUJIa0YY8jbMK9lArNAOGO2e5wMyB5nAaPuBL7+c0aHIKgh5G14CoHSc4AcfWPGRDOC5i6UPavnqwLsDcvhRmwnJw3oERGY5QSBobBwK6qqxmdhUIQQ0gqIIurPGIn8zZtgOXoUAINQlPw1pujY+/D6hsNZ8tNwymsjBdwyqiu8gO5Pd8iroLrCi0797TA7cubtYqslCAIw/XawGTOb1XfW89ZSFM55OOH2ZjEYINxxOwUQCCEZ02Xr/3DE7cG/6+tTaKTDYEEAJ8yV+LrLBrBmJpIaRSNembQYQ4qHaY/1KuyNGSPvx0/LzsNtH98cEaBtrCr1OF53/R8e7vsoBncc3LzBEkIIIaRdyJl32y+++CI+/PBDAEDXrl0xZcoUDBgwADabLcmRhJDWRgg6Yara3HIXPO2WJNtvzXhwFgBMVZsgBJ2524NWEODuNA4djrxLfWd/xI6ug9B3coLt/23B0eQ2ZjBAsse/rTAYXBCEEBijTCxCCIlJFOHp1x+Woz9A6HYQgt2T0mG2+s2QQvWoLb2i0QHauoO+iMCshoW3dR5MvUfTQTjzTGDRQrB584CKvWhQezMF7tcWw3rxxTCfNqLBtsC3G+Fe/LcmDk4A+vaBMGsWhFOHJd+fENLmMMYQCoWSZrPyzy0//IDLmnit0x12FBgkvF1dE/cdZ2/sxU/x/1CKH4AAsO2oFS8WdcY6a9Mz+68ZeF1EYFZvaPGpuHrgVCzZ/nqTzw8AMpOxpOJvGF50Gi10SSfGIKjhTGommnN2sTshhBDSWDkTnH399fBN0DnnnIN//etfFJQlhKRPUfwScOHtfVtmHK1A0F6Gmh5TkX/8ExiCVWj3b3uOfAlWciqE/LIGm1j9AeDImhYfUq5hAGRTMTzdz0ERdsbdTxAASfJDlik4SwghguKHJLsbPC6GPBC6HE45MMuZvftRcHQFPB3HwBqqR2+jXdtWKQfgZg0zNlWZQfbFX4wl+1SoMoNoaHt3A5LrMOSiAS16TeHUYRDeXALmcgGVybOi2Q9HgZkzTz4QDKLqyqvguOlG2K+bCkNZGeT9++F5a2k4MBuMatHx7J8hdO2afGAlxRDyKAhPSFvCGEMgxfLBLOCHIRiCqqa2ONcCoLl/MfpaLJjcoRBrXA1fB7uw73G58hYkKNpj5UEfnjv2PX7feRh2WwpQJbjhFhrXlmhyvysSbr+s35XNDs4CwG7nLnhkDxxGKhGfDibPAThOfKlV9wqau8DdaRyC9rLsDowQQghJg5wJzu7atQuCIGDevHkUmCWkjWOmfASLh7dc9mzNnnCP2Xiq97TIMILFI8BM+S1yreYIWUtRXXZzg4njoB9AReJjqzpdDluOPEXGGAI/9s8z26SUVi+LoXoU/fCe7iQK2KYFYKXnQOh6VrjHrK8qnDF7ZA3AlIjja7pdCdWY2cxodugQ2P2/SbiP8MzTEHr0yOg4OMXgAJMsMBhcQILgLCGEEMDoO4z845/CGEwQnIue9RYkoHQchK5n6l6H1gFHvox4HbK6d8Lq3olOAJZ2O0t7XGUMe0NuzK3Zha2Bk/36lFDyiXglpEI0NL5cctYoQTg2Ppt0t47/ngbPoBtQP+ZRQDK1wMBOEvLygBSCoUKf3lCvvAJ47/2TDwaDcL/8Ctwvv5L44CuvgHj22GaOlBCSK1RVRSAQiBlcjZfhmqxVWHeTCVcUFqBzQePfu4QEoDrJPtL5F0A6/XSgvh7qrl1g274DdAHgcpsN5THm/qTjL0GA0uBxAxgeq66G0nk6VDDsFarxlLQKW8XUWvL0yO+ZZHvLvHciqTP6Djeo6mUKHEOHI++ipsdUhKylWRwdIYQQ0nw5E5zlBg4cmO0hEEIyTRDgGjkLRR9Pa5m+sxv/ClzwTPztm/6a8SEw0QjnyN+2qhI8TLJAlizhz1WGuiNeAIl7pVUdNMLeyYSCHhYIYvae677/VWHV0p04ts8JACg5JQ8Tpg5E3+EliQ80d4K3YDhs9ZtPPsYU4PBqsMOrEx7qLRiOoKNP8waeAiY4wY64Eu4jCAUQzJ0yPhZCCCGpM3kONL51gCBBGHFXZAUHexcIfSeDFZ8KtnlBg4VC0URBQD9THhZ1Pg33Vm7Ben9N055ArlOCKPrkF7AcWpXS7vYdb0ByH0bN+a+2eIA2VcJ9M8MZtF9/nfpBo0dDuG9m8v0IITlry5YtOHbsmBZwDQQCaT1/L7MZ13YsgpTB96ZCfj4EUQQ6dIB01llgvXpB+Wh5RIC2AdULQT4cf7t8BFC9EEUb+rFOeFG+AvcZlmO9eCjpeA45D6JXYe+42w86DyY9Ryr65w+A3WBPviNJKv/4pzHvmQSoyD/+CarLbs7CqAghhJD0EbM9AK5Pn/CEdm1tbZZHQghpCYHu43Di4ncQKhoEluniuesXAIfXxd526L/A+uczdmkGAaGiQThx8TsIdh+XsetkElMZqvd64atNHJjlPCeCqN7rBVMb308tHbZ9dQRvPbleC8wCQOX3Lvxj7gZ88NxG1BxNXCrSWfJTBGy9GnXNgK0XnCU/bdJ4CSEkNQyCEIIghBC7SSjJaYzBceLLxvd0Lx0Xs7Q+AAgFZUDpOSmfyiiIuD3BxHSuEwL1MNTsivtRuOrulAOznOXQKhSuujvm+QRdlnG2CEYjhD89DUycmNoBV14B4U9PQzBSCwFCWrPjx4/j2LFjqKurS3tgFgDOzc/LaGAWAOTDkUFWoXNnCOXliQ9S6hJuFsAi9jFCwq+Us1K6LVq25/1mbU+FQTDg531von6zaSAo/oRVRgzBKgiKvwVHRAghhKRfzmTOXnPNNdiyZQtWrlyJX//61xm5xi9+8Yu0nUsQBPz1r5nPtiOkLQt1GYmqqz6DEKiH5EmtHJHeUe8RPL7lDw0e7xoK4rlK3cpXJQi8Ng4YdSdw2q3hHrPVe8IZs+ufD2/Xqb7gdSh53Rs9nlgUexcwc2bL3DaWKrOUShlyrqN+BJypBWa5gFNG7QEv8rpaUtpfMorN7mmnyCo+WbwNGz+Lv+p5+9dHsf3rozhtYk+cf1M5JEOMNUqChNrSK1BwdAWs7uRler0Fw8OBWaEVlX0khLQqZnMV8vJ2wmQKB4uCwQK4XAMRCBRneWQkVYIa0PqlNeq4rmcm2X5W0soOekPMBXAIOfMWMCWmYxtQ8J/fwVizo3EHSiZg1F3AabcARf3CbS42/jW8aE9372fbtxy2fcsbHM4gQC4aiLqzn0Soy8jmPo0mE4xG4NZbwD77LPGOz/6ZShkTQhowGo2wWCywWCywWq3IM5tR6m1cX3M9Jitwf7Em6X7V026C/Yafo/DRP0AwhasTiAMGQtm6tcnXjqWcdYEDJriRuAftP3a+iYll52NI8bAG27ZWbcHbO99q8hgECDjFUYY7Bt2FQYVJAtAkJfr2SrEIP+7DK30RQgghrVHOvDO/9957sWTJEjzyyCOYOHEiBgwYkPZrLF68OC0r2BhjFJwlJI2YuQByEwKYPpMZ+0wNb8b3mSx4N68IV7l0ZfuUIPD1n8MfCXgG3YDAKW0zAzLgllF30AfZ18isnSiCKKCkrAOKexbCYjfB7wmi6mAdKg/URmTL+mpl+GoTv6nSM1hFFPa0wuxo/EuTIqt4++lvsG9Lgh5+Ohs/O4i6Kh+u/s0ZcQO0no5jkgZna7pd2SKljAkh7ZfJVIOiovUQBKZ7rB5FRetx4sRohEJFWRwdyThrkgB8su2tnPnwl01rgyGZgJu/BLrrgtvFg8JtLgZfBSwe32BxXjQBDMaaHej00RTUTHodgRyvgCJ07ZrtIRBCWoDJZILVao0IuEZ/rn/MYIh8byWEQsAn/27StZmsoHbpPxCs2JvS/p43/g758GF0evWv4QBtE/rbpuLpUX+BEtUf/bjvOP64eY72dUgN4Zcf34SrB07FZf2uRI/8HjjoPIhle97H2zvfQijqdWbO8EdRYu2c0vWLzJ3gMDqa/0QIIYQQ0q7kTHD2+PHj+Otf/4rrr78eI0eOxN13341JkyahW7duDW4mo/Xs2TOla4wbNy5ucLaiogJHjhwBAFitVvTv3x8OhwNutxu7d++Gz+eDIAgoLS3VSjATQnLXMx27oKscxFhf6sFBf48JqB/zaAZHlT1+ZwjVFd5mV8IURAEDx5wCRwer9pg1z4ye5Z1R1C0fO9d+HxGgDfhleN2pl+KqOuwKB2jtjXt5WvPenpQDs9y+LVVY9vxmnHNlv5jbpaAXoUpzwnPUSkYotYn7v+YVWWCxU3lBAJAkL2Q5L9vDIKRVKSjYGhGY5QSBobBwK6qqxmdhVKSxmGhG0Nyl8dmzvirA3iXx9kb4LlAPN2tcNYysYQx5G+Y1PjALhDNmu8fJOu5xVriaSpIFe5yghpC34SkESs8BqFQlIaQF9O7dG8OGDYsZcBXF1LqTMZcL+P5gg7d/jDH4vD4Y3Infw8Ti/mJNyoFZLrBqNWruvgf5984AczqhVFbG3Vdg1UknKZk/AEH31ipUWIjSgt4N/j73dJRhUveL8PHhFSf3VUNYsv11LNn+esJrTOp+Ec4oTly5ghBCCCGkuXImOFtWVqYFThljePLJJ/Hkk08mPU4QBMhyahMMq1evjvn44sWLcfvtt2PAgAGYN28eLrroIkjSyVV3iqLgo48+wgMPPIADBw7g0UcfxU033ZTSNQkh2SELIu7r3BMfqV3Q6eD/S7q/Z9AN4cCsZGqB0bUsxhicRwJpaVFYUtYhIjCr5+hgRUlZBxzfV4Pjh53472cVqK3yNv+iTWAwihh/RTnGXDQAxd0LUHW4HmtX7MIX72+DrCvpvOO/R7Hjv0cTnKlvkiulUJZLAEp65OFntwxB9wFtNcNNhcOxO+leHTtugMdzCurry5FDbe8JyVmCEILRGH/y1GBwQRBCYIwWgOQ8QYC70zh0OPJuo/rOsqPrIPSdnGD7f1M+V4ipWFjXuEn1bBKCTpiqNjft4NNuSbL91pSDswBgqtoEIejMuVYVhJC2qW/fvhgyZEiTjmVbtoDNewrYUxF3n7R11DaZ4Lj5JtinXgtDr16Q9++H562lcL+2GAierE7gW/4RfMs/Sno6Q4cQulyVeJ/qV18DTKXIv+hCGE/pCfeAAXEXzvxywB2o9B3HxupvUn5Kp3U8A78ccEfK+xNCCCGENFVOzYwyxsAYi/g8lY/m+Oabb3Dbbbehf//+WLduHS699NKIwCwASJKEyZMnY926dejbty9+9atfYcOGDc26LiEk82RBxJEhNyfdr/qC11F/zlxAMjX4uyLLMoLBoPYRCAQQDAbh9/sjHuOP849QKIRQKKRt9/l88Hq98Hq98Pv98Pl8CAaDkGUZqqpCVVUoigJZlrVj+fF8n6b+3WMKEPIqjf7+xVLcszDp9h8O1OLf/9ia1cDsjAWX4Ipfn4UuZR0gGUR0KeuAK359FmbMvxgGYwu/9DGg8qALbzz6X+z7X+MynFoHFUVFG2CzJQpyn2S3f4+iog1AI4IThLRXkuRPuF0Qku9DckfQXoaaHlMRMhWnvl7qyJdgzgMxN7H6A8CR5H3/VMawJ+jC7cc3YoO/NtUrt25FsatinNyebPEVIYS0PmzdOrDbpycMzKaNyYTi995F4ZyHYezXD4LBAGO/fiic8zCK330HMGVu0bN8vBI1f3sD1UYzQp3il/c3ikbMHv4Izu6cWln6Sd0vwuzhj8Ao0qI3QgghhGRezmTOvvbaa1m57p///GcoioInnngC+fn5CffNz8/H448/jssuuwx//vOf8dZbb7XQKFvGF198gRdffBFr165FZWUlioqKcPrpp+O2227DpZdeGve4nTt3Yvbs2Vi1ahX8fj8GDx6MmTNn4rrrrkt4vY0bN2LUqFEoLS3F9u3bYbfb0/2USBtXZO6UcLsAAQWmDknP47d0hsft1gKjACIy+XORIAgwGAwwGAwwGo0Rj/Nt6eixHc1iT/wm22QzYuOa76Gq2fu+jb+iHL0Gl8Tc1qu8M8ZdXo7/93YKGa9ppioMX/xjN3oN7ZSR/xtOyDfDYPNDMDS+VFlTOBy7YbE0LuhssVShsHAT3O7+GRpVQ4pioexCQkjWhaylqC67GYLihyQ3bL1gcB5DYe3Kkw8wBWzTArDScyB0PSvcY9ZXFc6YPbImvAJLp6bblTgScuPxLX/QHquUA62nlLEOM+UjWDy8admzNXvCPWbjqd7TqNMFi0eAmRK/VySEkGxijIG9uAhIsbJcczluvgnm00bE3GY+/TQ4broR7pdfydwAFAXykjchTPxpwvdWRtGIa3tfj/8c/zLh6eYMf5RKGRNCCCGkReVMcPbGG2/MynXXrAmvNj/zzNRuwkaPHh1xXFvx4IMPYu7cuRGBqGPHjmHFihVYsWIFbrjhBixevLhBf5Nt27Zh7NixqK8/WRjn22+/xfXXX49Dhw5h1qxZMa+nqipuv/12KIqCBQsWUGCWNInD6ECZoxcOuPfH3N7TfgpEOXmWpMvtQkD0RTzGfxcEQYjZ14cxpr0J5AHRRFmtPFjKt/NsWZ4Ry4mi2ODNJWMMqqo2eIxn1/p8kWPnjEYjDAYDRFGEwSpA9jU/YOr3BGHNi9+Htb7SgxPHUu/zmwljLhqQcPvYiwdkJTgLAD/srUPAK2ekB63pjO4ofPJCmAZ3BrDvx49sEAEMATAAQAHChdN2AfgO+mxZm+1oytm26cAYIMt5qKsbilCorZaXJoS0FkyyQJYsDR+3mMHqOkAo1GW4MgU4vBrs8OqE5/QWDEfQ0Qc+9wHsC3nSMk45oMJolZLvmAmCANfIWSj6eFrj+85u/CtwwTPxt2/6a8qnYqIRzpG/bTf9ZhVFRc0PHgT9MhwdzMgrskIU28dzJ6RVc7uB7dtb7HL2qdcm3n7d1MwGZwFg27bw887La/apSqyd0zAgQgghhJDU5UxwNluqqsLZPjxbLhm+X3V1dcbG1NJefPFFrb/vGWecgblz52LYsGE4cuQInn76abz55pt444030LVrV8ybNy/i2OnTp6O+vh5Dhw7FK6+8gpKSEjz77LNYsGABHnroIVx11VXo06dPg2suXLgQGzZswOTJkxNm5RLCA5PR5cx5CeDrS2/E3N1/hBKVOSIJEq7rNg1eX/LSupIowWw2a1mokiRp15EkKaNZjgC0wGusILCeoijaWBRFQSAQaNBzm39v9MFbAIBDAHwGAM17LlUH69CzPP4b1xOH09bBqMmKuyfuB5dse2tkPqcXOr0+FYIpSxPoGhHApQD0mcsdAJwFoBeA5chWOWNBAIxGFzp1+ho1NaMQCMQvgUYIIdnEqroAxiAEe+oB1oCtF5wlP23ERQDX0eQlsWv2emHvZEJBDwuELAToAt3H4cTF76DwP7+DoWYnhFQLQq9fAJRPAbrHWIB76L/A+ueTnoJBgFw0EHVnP4lQl5GNHHnrU/2DG6uW7sTubyrBdBVQTFYJwyf0xOnnnYKirrSglhASZujVK/H2srKWGQghJCbGmFZgRZCQ8XktQgghjdfug7MdO3bEsWPH8Omnn6aUvfvvf/9bO64tqK2txezZswEA/fr1w+rVq7Us1uLiYixZsgSMMbz11lv485//jF/+8pfo2zfco+n777/Hl1+GS8MsXboUgwcPBgDMnz8fX331FTZu3IglS5Zgzpw5Edc8duwYZs+eDbvdjgULFrTUUyU5jgdbee9V/deJ9Lb2xT2978cHR9/Ffu9eAEAvWx9c0XUKBuQPgskTO6tWr6CgAHKCsubxShzzjFn9dv6hz5IVBAGSJEUEfWVZ1rZHB2Wjj+Wf6/thi6IYUc44mizLWplmRVGgSiogylBqDGAhoKlB2soDtSjqlg9HB2uDbe5aH+qPu9CpiyOr2bNVh+vRpSx+OevKLAaQu/UphNmW/pfeglkTciAwC4QzZmOXlAY6AygHkJ2sZU4QGPLydiEQ6ITmLlYghJDMEMB+6Al0OQwhL3mJem/B8HBgVkjtdUCCBPGIAz5PaqUvPSeCkIMqOvaxZSVAG+oyElVXfQYhUA/JcyzmPpLrEDr+W/deTgkCr40DRt0JnHZruMds9Z5wxuz658PbdaoveB1KXveIxxR7FzBz21vQFU2RVXyyeBs2fnYw5vagT8H6lfuxfuV+nDaxJ86/qRySIXllGkJIC3M4gMGDWyx7Vt6/H8Z+8ft7y/uTvw9vtvLy8PMmhETwO0NwHgkg5A1HZ402CfmlZljyqc0PIYTkkpwNzm7duhVffPEFDhw4AJfLhby8PJSVlWH8+PEYOnRo2q4zYcIEvPnmm/jd736HcePGoVeC1X/79u3D7NmzIQgCJkyYkLYxZNMbb7yBuro6AMCjjz4as7zwU089hbfffhuyLGPhwoX405/+BADYsmULAKB3795aYJabPHkyNm7cqO2jd++996K+vh5PP/00evTokeZnRHIVz+jkWbD6ACzP9EyEl/vlH6Ioaj1XxxScjdGlY+FVPBAFEQ5Tnra/Acl7YQqCoJUANhqNMJlMWhCVXyNT9KWNeZZuvLLGsixr24LBIHw+H1RVbRAcVlVVG7fFcrJkIuvAIHQXoIRUBP0hLes2FDo5OauqChTlZECcyYBy4uQNPFMZdq79HiVlHVDcsxBmuwkBTxBVB+tQeaAWYMBp55yCz97bnrW+s2tX7MIVvz4r/vaPdrXgaE4SJQHnXjsg7StWhXwzTCNK03rOpktcUhoYiGwHZwHAZKqDIMjUg5YQksMEsJripMHZqs5XwW86BfADwI/pEQERXaXucY+50HIlBE/j/v4FnDJqD3iR17VhKeZYJKMI0ZDe1ztmLoAcJ1gqFw2AZ9ANsO944+SDShD4+s/hjwQ8g25A4JRGZB23IYqs4u2nv8G+Lan1jt/42UHUVflw9W/OoAAtITlGEARg+u1gM2a2SN9Zz1tLUTjn4YTbM8pggHDH7ZQN2I6JoXrA3Cnbw8g5AbeM6gov9MVGQl4F1RVedOpvh9mRs6EAQghpd3LuL/LmzZsxffp0rFu3Lu4+Z511Fl588UWceuqpzb7erFmz8Pbbb+P48eMYMWIE7rvvPlxxxRUYNGgQRFGEqqrYsWMH3nvvPTz77LOor6+H0WiM20u1tVm2bBkAwGw24/LLL4+5T/fu3TF27Fh8+eWX+Oc//6kFZ51OJwCgpKRhllTnzp0j9uE+/fRTLF26FMOGDcOMGTPS9TRIDtCXG+bZmjxQGKu3aiySJGk9UnmmKf86FWZE9kIVBCGlwGpxcTFQnJ0Sp6IoJn1++sxbzmQywRFnlbC+5HEwGNQykPkbV8kowmo0A4jdO1ZRwpO7gUAAiqLAF1IR0iWbMpXh+L4aHN9XE/P4bmUdMOnaoVi3ai+qj3mQagXCdPni/W0YMaE3eg1u+Ldp/7bj+PKDbS07IAEo6ZGHn90yBN0HtPVep8kyjNp+BhIhhLQEt9wZBwPnwFfREUBktQoJBZhTkDggqSeIgrboymI3wa9bdKUvb+urleGrTb0yhsEqorCntcUmAevHPArJfRiWQ6tSPsbfYwLqxzyawVG1LL8nBFdN8nLV3Jr39qQcmOX2banCsuc345wr42fM6eUVWWCx02IoQlqCcOaZwKKFYPPmARV7gSTvv5vD/dpiWC++GObTRjTYFvh2I9yL/5ahKwtAv74QZs2CcOqwDF2DZBVTYK9em3S3oh/ea3T1kPag7qAv9hwMC2/rPLj5PZoJIYSkR04FZ//1r3/hiiuuQDAYjCjpabPZtAwxAPj6669x1lln4Z///CcuuOCCZl1z6NChePnll3HrrbfC6XTikUcewSOPPAIAsFgs8PtPvrlljEEURbz88ssYMmRIs66bK7755hsAwGmnnQazOXagBgDGjBmDL7/8Evv27UNdXR0KCwuR/2MZ2BMnTjTYn/fyzdeVig0EApg+fToEQcCiRYsymo1I0k8faOVleXnWayqZr0BkIJIHXnnQMZXerjxjlp/LaDTCaDQ2KP3Lr2MwGAApdgCxLZMkCTabLeIxHjjn36tgMIhAIIBgMBjxfZdlWQsC83M47AzVe70IOFNfgd25jwNXjh4CkRkQ9DCIkghRyEyGRV2VF28/9Y32tRxS8Ze7lmPc5eUYe/EAFHcvQOXheqz9aBe+/GAb5FBkqexrfjsSBcUNyzRHYAwCC5dAZIIp3MA0RZmelGTOAIKbjuRI9mw9wj1mE23PvmCwEIzRaxBpGyTJC1mmSZb2xCmXosL3MzA0fyJSEAUMHHNKRLsCa54ZPcs7o6hbPnau/T4iQNsYsk/Fid0edOxra5kyepIJNee/isJVd8O2b3nS3T2DbggHZiVT5seWYYctPfDvBftQeWxHs85jMIoYf0U5xlwUvn+qOlyPtSt24Yv3I++fdvz3KHb892hqJ21Xi9QIyT7h1GEQ3lwC5nIBlY1bfJEI++EoMHPmyQeCQVRdeRUcN90I+3VTYSgrg7x/PzxvLQ0HZoOR5eMLr7sW7p9OhBKjWps2dvd+YN20hOMQXn0FYvfTmvVcSA5jCjoceR9mb2plsW31myGF6lFbegUFaAGoMoPsi98aTPapUGWW9uomhBBCmiZnZiYrKytx7bXXIhAIwGKxYMaMGZg6dSrKy8u1DNbt27fjzTffxHPPPQefz4drrrkGe/bsCWe9NcNNN92Evn374u6778bmzZu1x30+X8R+I0aMwPz58zF27NhmXS9XHD16VMts7dOnT8J9e/furX2+Y8cOjB49GsOGhVcp7t27FxUVFVovWgBYuXIlAGj7AMATTzyBiooK3HbbbRg9enTankcslZWVWoA4VRUVFRkaTeukKLKWOckzMFMNwBqNxoggKf/QZ37GwjNd9YFbk8mU0rEksegsYoPB0CCAC0DLfA4EAlpAXlEUFPcTUb3PA19tKOm1DPkMUodwEF8VQjA4To7BZDLBYrFoQfV0KO6Rh9Mm9ozolSaHVPy/t7fi/72duITuaRN7ou9p8Xqkth7181ah0+tTc6Dv7C4A8UtKAztbaiBxMSbA6RwA6jdLcp8Kh2N30r06dtwAj+cU1NeXA6Ayo20dY8CRwKi0BGYBoKSsQ8w+8gDg6GBFSVmHuJUyUsIA55EAzHmGlik9KZngPu3epMHZ6gtebzOljPdbe+PtrlOhHgs06zwGo4gZCy6JqDzSpawDrvj1WRhxbi/85e6PGixwSwkDKg+68Maj/8U1s0ai97DsVKshpL0R8vKAvPQt3hL69IZ65RXAe++ffDAYhPvlV+B++ZWEx1rPOB2W/v3g6VUWHle8a9SEgPhF9AAABqWWF/EnrYCg+CHJqVfdsFevTTkwy5m9+1FwdAU8HcektL9icIBJqbVpaG2UFF6nlZAK0ZDteQNCCCFADgVn//KXv8DlcqGoqAj/7//9v4igHhAO+AwZMgRPPPEEpk6digkTJqC2thbPPfccHnvssWZf/+yzz8bGjRuxefNmrFmzBvv379d63fbq1QvnnHMOhg8f3uzr5BJ98JKXIY5Hv51nypaVlWHMmDFYu3Ytfv7zn+O1115DcXExnnvuOXz99deQJAlTp04FAOzevRvz5s1DSUkJ5s6dm4FnE+nFF1/EH/7wh4xfpy1z1jsRCDXMlORBUt7TlGeoplKeF4C2Dz+ef/CALskunsWs71XLFeYF8N3qfQmPL+pjg7UwnB0TDAbh9/sRCoW0jOtAIIBAIABRFGE2m7Xs51RLV8dz/k3lqKvyNao0X+9Ti3H+TeXNum6uCKzZj6opr6PwyQthHFgCQcxW4PE7AL0BxAp4HwfQwiWldRgDZDkPdXVDEQpR5g7JdSqKijbAYkntb5rd/j0kyYuampGgAG3bpsAEr5q+RUXFPQuTbm9WcBbhPmdMAYSceecJKHnxe/K2JgzAF0UToKYhW2j8FeUxW0IAQK/yzhh3eXnSRW+JqArDF//YjV5DO1GPSEJaKeG+meEM2q+/TvkYU98+yJ+UQsU7JQjHxmeT7tbx39PaVOWDtsroO4z845/CGGxm9rYgAaXjIHQ9E7AWA74qsKPrgCNfAuxkmN7q3gmrO7WFwAyAbCqGs/P5CFlzofoUIYSQ9ipn3iL/61//giAIePTRRxsEZqMNHToUjz76KO68806sXLkyLcFZbvjw4W0uCBuP231y9VqsQIye1XpyRb3+uBdeeAHjxo3DunXrMHjw4Ihj5syZg/79+wMApk+fjkAggGeeeQYdOoRLXh47dgyvv/46duzYAavVivHjx2PKlCnNDtKQxFRVhexP3otK+DHoyrNYeRAtFfpgK896FXXnI22XPd8KQQqXUDaZTDCZwm+YVVWFLMvw+/0IBoNQVRU+n0+rUGA0GmEwGCKOaQzJIOLq35yBTxZvi8igjee0iT1x/k3lkAxt5+9N8JvDqDzvZQj5Zhj+vghCjx4Zv6YkedGx4wbdIyqADwGUAxiIcI/ZeoQzZrf9uP2k6uqRUJSGGdyZoCgWMEY97zLpiy++wIsvvoi1a9eisrISRUVFOP3003Hbbbfh0ksvjXvczp07MXv2bKxatQp+vx+DBw/GzJkzcd111yW83saNGzFq1CiUlpZi+/btsCcok9faFBRsTTkwy1ksVSgo2Ir6+lMzNCrSFlnsiV9zzUm2k+wKiGYctaRnYnnMRQMSbh978YBmBWcB4Ie9dQh4ZepBS0grJRiNwJ+eBpvzCPDZZ0n3t55xOvInXQAhWZaeEkTRJ79IuWe4fccbkNyHUXP+qxSgzUEmzwF0OPIuBDSh2oKeIEEYcReE/LKTj9m7QOg7Gaz4VLDNCyICtCmfFoAxWIWiQ2+htvQqBO1lyQ4hhBBCMiJngrP794fLVlxyySUp7X/JJZfgzjvvxL59ibO4SGpS6fUZy/Dhw7F27Vo8/PDDWLVqFQKBAAYNGoR77rkHN954IwBgyZIl+PzzzzFhwgTccMMNAIDVq1dj8uTJWlllAFi4cCFeeOEFrFixAnlpLL/TnvE+o/r+sKFQCCavN+mxhYWFUOL8P/CAa3TWa06WH85LNmElpLAPSVVBQQGseWaEQiF4vV4EAgHIsgxRFLXAK2MMoVAIfr8/4ucyFArB5/NBEAQYjUaYTCaYzeaUF2xIBhE/u3UozryoNzZ+9j3+98Vh+NwnyzBbHUYMG98dp008BUVd204QJxpzBiB7LRBaoAelLOfB4zkFdvv3ukdVAFt//IjP4zkFgUDiqg2k9XjwwQcxd+7ciPL3x44dw4oVK7BixQrccMMNWLx4cYPf523btmHs2LGorz/Zj/jbb7/F9ddfj0OHDmHWrFkxr6eqKm6//XYoioIFCxa0mcCsyVSDgoItMBo9UVtEAEMADMDJRQ+7EM5WPznxZbcfgslUg7q6UylDvI2SEIRNrExb9qzfE4Q1zxx3e8ATjLstVUabRG3gWoHi7gXN2k4IaR8EoxG49RawJMHZwuuuhaVvKaAcB358SybV74EQanjP5tj4bMqBWc5yaBUKV90N92n3JtxPsXdp1HlJMzEGx4kvmx+YBcIZs/rArI5QUAZWeg5weHWTTy9AhaN6DWpspwBU0aGJGAQhXHGPMQOodRAhhDROzgRnA4Fwj5xYPRBj4fsFg82fMNBzuVz45ptvUFVVBb/fj2nTpqX1/LnE4XBon0f3142m364/DgCGDBmCDz74IOZxdXV1uO+++2AymbBw4UIAQG1tLaZMmQKn04nZs2djxowZqKysxLRp07BmzRrcf//9eOmll5r6tACEM3WnTJnSqGMqKipw2WWXNeu62aaqqhbk4gHZWH1iJUNqv/o825UHYC0WS+4FX5OxFgKdhwHH/xd7e+eh4X1IWhmNRhQUhCfxeN9an8+nBWT1GbL8Z1ZRFK3XbTAYRDAYhNvtjuhjbDKZYDAk7ltX1NWOiTcMxk+uHwR3rR9BvwyTxQBHBwvErJX7bbvq68shSd5GZfn5/cU/9sckbcGLL76IJ598EgBwxhlnYO7cuRg2bBiOHDmCp59+Gm+++SbeeOMNdO3aFfPmzYs4dvr06aivr8fQoUPxyiuvoKSkBM8+++z/Z+++w6Oq0j+Af+/0mp7Qe68qggIixbWAroLYsLDKCkrTRdZVLKCwuoAdkOKKirqs9aeACxZUFAUFBEFBQCAiCkgC6dPL+f0RzmUmmUkmfZJ8P8+ThzC3586dufe857wvFi1ahIcffhjXXnstOnToUGqbS5cuxbZt2zBy5MgyR+XWJ0ZjNlJStkJRSn5vawBchfB04ckoru/cDsAHCA3Q6vUOpKV9g5yc8+DxsLZjPJGd5oLBoPoTCAQghICiKAgGg9AUFCBVLuAvPbpQUYAWxq046BpRLXVns4/koXWP6B1lso/kVW0DCpDQwsQ0tjXEGPSgmftotYyezf49H03bJkednvV7ftRpsWreIQlGS9w0QRBRDTE08cBifR2a4yfCXk9bF+MKtAbgvLuAPrcDKZ2AnAPAjpeArYuAwJk2QEvmB+XWGBdQkJDUAb3NQfxgqp2MPY2ZEvTA4PmjetbV7PxypveHqEJwFgAM7uNQgp4GW4O2JhmN2bDb98FgKL4/8HoTUVjYlc8fREQVEDdPRk2aNMFvv/2GH374AcOGDSt3/l27dgEAMjKqp9f4zz//jBkzZuCDDz5AMHimgSs0OLt//36MHTsWRqMRn376KYzG6L3M64O0tDT196ysrDLnPXHizE11ampqGXOGe+CBB3DixAnMnDkTXboUp8pauXIlTp48iYEDB6opqdPS0vD666+jR48eWLFiBebNm6emP66MjIyMantvxCsZfPV6verow0hkLViDwaAGW00xpDVOT0+DJiX2cx3XrlgCrBgGBH3hr2v0wBVL62afGhH5HtTr9UhISFBHyMpAbWjKbJvNhkAgALfbDY/HozZeyw48ztOjvmUKZJkOOdLoWo1GQUKqudTrVN00yMnph6Sk72GxHC93boejzenAbMNJKd2Y5ebm4qGHHgIAdOrUCV988YU6ijU9PR0rV66EEAJvvPEGnnnmGUyYMAEdO3YEAPz666/YuHEjAODNN99UyyMsXLgQmzZtwo4dO7By5UrMmjUrbJt//PEHHnroIVitVixatKi2DrWGCdjt+yIEZoHiEbPR7mmaoDiNePhIdUURsNv3w+NJA3uw1wwhhFpPPRgMwuv1hnWIk78riqIGZWUgtizGkOcQBLUQHiMUoydsngTdUXS2fIBfPUPhDiRV6TiyDucipXkCbMmlvy+Lcl3IOpxb6XXrTBoktTHDaIubR84GRwEwJGcD3m52Y5Xrzm5eux+jp/SPPv1/+6u0fo1WwdAxXRioJ2rgjC3cSLvsZOXvPrQGYNxGoGVIYC69G3DZU0D3a4EVQ8ICtOVRIGDNO4gX8hRMa9oGW8y28hei+GAuJ8hX3nSqMQZDTqlOpQZDPlJStuLkyQHM4ENEFKO4eVK+4IIL8MYbb+DRRx/F4MGDyxydFwgEMGfOHCiKggsuuKDK2/78889x9dVXo6ioKKzBpOSDY5cuXeDxeLB9+3Z88MEHuPbaa6u87brUvHlzJCQkoKCgAIcOHSpz3tD00d26dYtp/Vu3bsW///1vdOzYEQ8++KD6+qZNmwAAl19+edj83bp1Q7t27ZCZmYnvvvsOl1xySayH0iCFpiSWoyxCG/aiNe5ptVo12CVHG5YSS83ZhtSY2/oC4Oa1wOcPA0e3Fr/W4jzgoseB1gPrdt8aIfneTEhIQCAQgMPhgN/vV0fP6nQ62Gw2NVAbmprb5/Op9Wv9fn/YOs1mMwwGAxv96oQGRUWdyw3OnjrVj6mMG5jXX38deXl5AIA5c+ZETC/8xBNP4O2334bf78fSpUvx9NNPAzjT0a59+/al6taPHDkSO3bsUOcJdc899yA/Px9PPvkkWtVCbeXaoCh+tdd5aWXXgSyu71w6jbjBkAdF8bPWchXI76BAIACv14tAIKB+x8QSaI1EURQoihJWDkIGcBVFgblEdhOR1QxoebhUtj2rNhtNu+jg0Scg4IueOlAIAVegOAOOWWtGwCuQc+hMeQsRFNi3+VdktE1GeuskGK0GeBxeZB/JQ9bhXIhg+DHqM/wQGqHuT7Q/gaITUDSAw+uDp0CnfvfrYszeQrFr58rEzUdfxcd9JyHrhAeo+NsSAPDle3twzrD2aNe9dGeQX/acwMb391RuxQqQ0cqOEbf3RMsubKwlatgEEvvmVy2V/Xl3hQdmQ7XqD5w3FfjmmQqvVg+BSbknsMVkZQrbGiQ0RniNTatn9KwrGygrLbUr9sxN0XhNzSA09XvgTV1ITPwxYqdSRRFISvoR2dlD6mCviIjqn7h5Or7zzjvxxhtv4Ouvv8aIESOwZMkSdWRFqIMHD2Lq1KnYuHEjFEXBxIkTq7TdrKwsXHPNNSgsLESnTp3w0EMPoXv37jjvvPMizn/dddfhxx9/xMcff1zvg7MAcO6552LDhg3YsWMHPB5P1NHAmzdvBlDcgBrLiNZAIIA777wTwWAQixcvhsl0JkXIyZMnAYSP3JUyMjKQmZmJ7Oyq32TVF6GjKUIDVKEjuCNRFEUdPajT6dTGvcgjCDXqKEOtVguDvhE21Ha4BGh/MeA+3fhtSuRDWRzQarVISEhQ/+/z+eDxeOBwOBAIBKDVatV0xpIcoRQ6alymRg69LoxGY/1Lw93ABQJMJdbQrF69GgBgNBpx9dVXR5ynZcuWuOCCC7Bx40asWrVKDc7KuvORMl00adIkbB5p/fr1ePPNN9G7d29Mmzatug4jzpVX55F1IKsqtBNQaOe48u7FgDPBVpmhRAih3ovJoCtQ/H0n79fKoi2ZCcVtgTjWGkjNgmIq7lwXNDWDv+3lsCZ0gF2jUe8bQ+8pQzOqGAIhj3wWwJpmgOPkmVFHIihwIjMHJzJzytw3a5oBSa0S1UCy7Cwotwucyewiv5/lj8yAERqQDq1Hz45VVdPS8zvG39UenqatUJhTfidMAMjLduLtJ75T/+/3BfHcXR9g8NU9cMGfuyC9ZSKyfs/H5v/tx8b398BfohPADff1Q2J6+RlK7CkmmKyN8NmDqBFSDAKGDF/5M5alz+3lTB9fqeAsAPT0uGALBlHEZ8SaoygoShuM5KPvVrnurDi+BUrHkWVM/7Zq64cGRakXsl2oghTFB72+MOp0na4QiuJjB1EiohjETXB28ODBmDBhAl588UV89tln6NKlC8466yz07NkTdrsdhYWF2LNnD3bt2qU2ctxxxx248MILq7TdZ599Fvn5+ejatSu+/fZbJCQkwOFwRJ1/0KBBAIDt27dXabvxYtSoUdiwYQPcbjdWrVqFG264odQ8R48exddff63OH4uFCxdi586dGDNmDC699NKwaWZz8UN8pFTKMn2ynKehCG24kiNgZcOVbEyLRDZgyR8ZeJK/R2rIUhQFer1ebeySjYVh++N2I3IS5AZOUVhfNs7JkTWho2a9Xi98Pp86akmj0cBkMqmdPvx+PzweDzweT1ig1uFwqNeCHK3Dxl+i6vXdd8UN+3369Cmz3MPAgQOxceNGZGZmIi8vD0lJSWrHDNlpK5TspBXaecPj8WDy5MlQFAXLli1rUCPwhNDB602MMno2H8U1ZqOJPOLW602CEA3nb1RdQtPly++YskbAymCqyWRS33MyOBnacaiiQu/tNBrNmSBvpJmdNginFUJT3MipGXU9TBUoMyKDzBqNBsFgECkpPvyy4ziKTrliXocxQYfEVsXfu/K7NPReVP6dSnamCs18IbNfhAa93aezuch73tByHNHKFlB0Jqs+5kBoeis7+lzcGjs+PaK+5vcF8fnbP+Lzt0uPxg/V5+LW6NinYZeQIaI6ktKpnOmlB3FQfPFa2yKn1Y1IOPEJdN7syudkO7oRIuMsKAltS00S+YeBo19VarUCgN+QjoIml8JnrnrN9sZGqy27E5iiFM/j9zM4S0RUnrhqsVm6dClsNhuee+45CCGwc+fOsHR2obWbpk+fjvnz51d5m+vWrYOiKJgzZ05YA2A0cjTv4cOHq7zteDB27Fg88sgjyMvLw6xZs3DllVfCYgkf2XT//ferqUZjGal89OhRzJo1C4mJiXj22WdLTe/Rowc++OADfPDBB5g5c6b6+u7du/HLL7+o89RXoY1PMrhUVgAWgJreTqfTqT+ygaossvHKaDSqDVgMQFFDUdaoWRmM9fv96jVjtVrVBmCPx6Neiz5fce9teZ0ZjUaOqiWqBsePH1dHtnbo0KHMedu3b6/+vnfvXgwYMAC9e/cGABw6dAgHDx4My5iybt06AFDnAYB//etfOHjwIO644w4MGDCg2o4jkqysrApn8Th48GAVtqigsLArUlK2ROi8vx9A9DqQwL5SrwgBFBR0QWOvNysDgX6/X+3oE200rCwLIYODsd6LlVweOPN9A6DUyNlIneZCiUAgSgc6BQhq1fVXROj2ijs4GdGlfxv88v1R5ByLPvJBSm+ThNY9m0KjKd6u3+9XA72y5q4cOSu/o2VnKtlREIA6X2hHxdCAbei5cbmKA8eh9wIGg4Hf3dXs0tt6IC/bhcxdsX/etT8rHZfeVn+f1Yio5givAm+WvmqjZ3MOFNeYjebUgUqverfRjCJ2+qkVPnMLnGo7DkrADa2/KKZlNL58pBz7vzMviADE94sgWlwIpVn/4hqzruziEbNHvwJE+B1TTvNrENSXn1EmoLNBaE3lzkdERFTT4io4q9Fo8PTTT2P8+PH497//jY0bN+KXX35BYWEh7HY72rVrh8GDB+OOO+6Iue5peWQwUI6ILY8M4BYVxXZzEe+Sk5Px+OOPY8qUKfj5558xdOhQzJ8/H7169cKxY8fwxBNPYOXKlQCA6dOno1OncnoxArj77rtRVFSE559/Hk2blq4PceONN2L+/PnYtm0bpk2bhmnTpiE7Oxu3316cvqZv377o3Llz9R5oDZCNUaHp28pLgSdHSJQMxJbVSBc6rxwVGzqalqi26E3lf2XEMk9VlBw1GwwG4XK54HK54PV61WvFbDYjGAzC7XZHrFUrR9XKn6qMfiJqrEKDlzINcTSh0+VI2bZt22LgwIHYvHkzbrnlFrzyyitIT0/HggUL8M0330Cr1eLGG28EAPz888+YP38+MjIyMG/evBo4mnBLlizB7Nmza3w7oTyedJw8ORApKdug1YY2au4G0B5ApFFqJwCE14EMBPTIyekHn69x1naUmRZk6vtoZFYFeV9VXhDWaDSGlemQ92RyNG196xin0Sho3jm93OBsp/NaIamJLew1ecyR/mayk6f8zg09H9GWkZ0ZQ++tvV5vWEfH0OVlIFx2TqTK0+o0uP4fffHJij1hI2ij6XNxa1x6Ww9odQxuEFEkCvK/S0TaZScrX3d2x0vAZU9Fn/79S5VarQ8KliQ3qfcpbIUQ8DiL72+MlvjvmC+0JvhjDYQa0+BMPBuW/J0hKwgAv38B8fsXZS7qTDwbXlvZnUWJiIjiTVw+zXbr1i3iiMuaIBttykrFF6qwsLgBw2q11tg+1bbJkyfjt99+UwOmF110Ual5xo4di7lz55a7rnXr1uG9995Dv379MGnSpIjz9O7dG//4xz/wxBNPYMGCBViwYIE6zWaz4YUXXqj8wdSQkkHY0EakkmSaO9nQJ4Or5TX6hQZhQ+vIMp0bxQudXgtzghGuAk/E6eYEI3T62u0woNFoYLVaYbVa1cZbt9ut1rYLzQQgUx673e6Io2qNRiNr3xFVQGhHtdCgVSSh5QpCl1u8eDEGDx6MLVu2oHv37mHLzJo1S+2sNXnyZHg8Hjz11FNITi5O8fvHH3/gtddew969e2E2mzFkyBBcd9119fp70+dLwcmTF6BJky9CXg0CWAOgB4CuKK4xm4/iEbN7Tk8/4+TJCxAIhAfTGjKZUUEGAUt2kgu9FysvVa7MqiDv5UI7xzVWRkvlUtKFjpqVz00+n0/tyOjxeNSUxtE6HMr7bVm+QI66DQaD8Pl8cDqdpUY5GwyG+HzAjWNanQYjxvfC+Ve0x+dv7MPP352ACJ55xjGYdTjnolboc3EbpDRrOM/ARFQzPEdNyP5fOtJGaqAgCwqiZxCLaOsioMd1QMvzS0/77Vtg6/MVWp2AAmdSB9xlDuIHk6X8BeJY5g/Z2PDmPvyRWZy5JqONHcNu7IqOZzecNPMFGX+C1pcPo/OXmJfxWNqhIONPNbhXDYvfE4TezIEeRETxoNE/uzZp0gRHjhzB4cOH1ca+suzcuRMA0LJlyxres9o1d+5cDB8+HIsXL8bmzZuRnZ2N5ORk9O3bFxMmTMDIkSPLXYfL5cLUqVOh1WqxbNmyMhtH58+fj06dOmHx4sVhjaqPPfYYevbsWZ2HViWFhYVqMDaSkqNgZU/+shrxZAOUHG0h/63PjcnUeLTp1RT7N/+Kkv0SFKV4Wl3SarUwm80wm83FPYpPN/zK0VPy2jOZTAgEAmpDr8fjgRACbrcbbrdbHZ0r0yjy2oxNIFB2cE6I8ueh+qu84FW06WeffTY2b96MmTNnYsOGDfB4POjWrRv+9re/4dZbbwUArFy5Ep999hmGDRuGsWPHAgC++OILjBw5Uk2rDBSXx1i8eDHWrl0Lu91eTUdW+wIBGxyONrBafw15NQjgx9M/0TkcbRp0YFYIoY7GlPdnJUfHysCq/In2GS475chasuXdv1HVyZHKwJmOrvIchqaglmULQlMaWywWCCHU+eVoXBmclxwOB3R+Q8Rx5pKAgoC1bu9Z4lFKMyuunX4uAoEgco454HX7YUs2wp5iVlNaExHFwptlhEd/J/RpNiCQp76e17cvgpbwTh7awt+Q+vGtZ14IeIFXBgPnTQX6jC+uMXvqQPGI2a3PF08Pceqy1xCwR2+fC1ib4ldfLn745s5qOba6smfTUax6fidCY91ZvxbirXnb0H1AMwy5vkvD6ECjaJHbYjQSj6+Fuah06Y6SnIlnFwdmKz1Uu+EQQYHC42XXgwWAnENOWNMMSGxlgsLvdyKiOtXog7MDBw7EkSNH8M477+Ccc84pd/7ly5dDURRceOGFtbB3tWvIkCEYMmRIpZc3m83IzMyMef7x48dj/Pjxld5ebZCj7wCUCsLKfyORDUkl59VoNPHR8BfLyO8GNDqcqo89xYJO57fC0X3ZcOQV3/hbk0xo0TUD9pT46YmsKEpY+mMZhJUBW61Wq46qlbVqZZ28YDAIp9OprkfWdeaI2rIJoYfPZ4deHzlFpt9vhxCVG4FF8clmOxMElPUhowmdHrocAPTs2RPvv/9+xOXy8vLw97//HQaDAUuXLgUA5Obm4rrrrkNBQQEeeughTJs2DVlZWfjLX/6Cr776Cvfee2+Vs3BMnjwZ1113XYWWOXjwIEaNGlWl7Ur5+T2g1TphMsVeB9LtTkd+fsOrAylHxMqAbKSsJTK4KlMVl/yslvdiJpMpLLsJ1b1oo2Zl0FWWKJC/y3txk8kUFqyXKZB9Ph/8OhtcCZ1hLvg54jb9KV0hjOXXpGustFoN0lvV3w4uRBRHNJbin9MCiZ0QKNGBzp/SBY5uY2Hd+/qZFwNe4Jtnin/K4Og2Fp42MYyY9OVWaLfjScAfLDf1/E/fHMdP3xxvOKnnFS0cqQPLDc7mNL+GqYxPE0GBU4ec8BREL+kRynHSC783iNQOFgZoiYjqUKMPzo4bNw5vvPEGnnvuOVx11VXo379/1HkXL16M1atXQ1EUtT4qNVx6vR4Wi6Xcka0ynZps7JMNg/FMMRqBlBQgJyfyDCkpxfMQRZCYbkNCmhUBf3HqSK0uTjodlEEGYy0Wi5pOUf4ACEu9KIO0clSWnE+OupWfCfF+zHUhP78XUlO/gaKEB0+EUJCX16uO9opqSlpamvp7VlZWmfOeOHFC/T01NTXmbTzwwAM4ceIEZs6ciS5dugAoHkl78uRJDBw4EI899pi6L6+//jp69OiBFStWYN68eTFlRIkmIyMDGRl1mSJOg5ycfkhK+h4Wy/Fy53Y42pwOzNbzxrjTfD6f+tkbKU1x6L2ZrBkbSn5ey2AsP6/rH5nFAjhTokB2pJIlCgKBQNhoXABqyuOsfo+g1ee3QiPCGymDig7H+syE3+VS3zt8fxAR1a38gXOgLfodpt82xLyMu9Uw5A+cU4N7VfcC/iDefvI7ZO6KrbPejk+PIC/bhev/0bf+B2hjENQ3nI5WQb9AwBcsf8YoCo+7Yw7MSp4CP3IPO2FvVsHsVvrImQWJiKji6iQ4KxtQFEVRU5FFG4FYntB1VMbFF1+MUaNGYdWqVRg2bBjuvPNODBs2TJ2+efNmHDhwAG+88QbWr18PRVFwyy234Nxzz630Nql+sNvtYbWFFUVRGwND0xFX9r1b17QXDEJg7f+AEo2e0GigHTSobnaK6g1FUWq9vmx10Wg0avpj4EwQQI7MMRqNah1yj8ejpk4MBAJwOBwAwhv+a330VUZ62dMVpfx5aojXm4KcnPNgt++HwZB3+rUkFBR0gc+XUif7RDWnefPmSEhIQEFBAQ4dOlTmvKGZNbp16xbT+rdu3Yp///vf6NixIx588EH19U2bNgEALr/88rD5u3Xrhnbt2iEzMxPfffcdLrnkklgPJU5pUFTUudzg7KlT/eDxNKmlfaoZcpSkTEMfWk4iNE2xvAcrKbRuuExTTA1P6PlPTEwslfVC1pE3Go1Ah6HINb4O29b5MJ7cCQBwJPfEH92nosjeHThd+1pRlLDSJCxnQERUB7QG5Fz6MpI23A1L5gflzu7oNrY4MKs11MLOVZ7b4UNhTvlpZqP56v8OxByYlTJ3ZWP18ztx4TWdKrw9e4oJJmt8DzRoaDxFfuQdccHvqnxgNhJFoyCjbTLSWyfBZDXA7fAi+0gesg7nhtWVd+X64cotqtC6TTYnmreu1t0lImq06qTlIlI6skiv1ZbXX38do0aNwmeffYZFixZh0aJFag/q0PTFQghceumlVU6VR/WD7LFvNBrVXvkNqWe90rQpNJcNR/C7bUD26Rv+9HRo+vWD0oR1uKjxkNe3zWaD1+uF0+mEy+WCEEIN1IYGDkIDtQ6HQw0G1NboLMVuh+jUEThwMPIMHTtAqcN6mx5POjyeNChKcccpIXQAGs5nJ4U799xzsWHDBuzYsQMej0ft2FDS5s2bAQDt27ePaURrIBDAnXfeiWAwiMWLF6sj6ADg5MmTAMJH7koZGRnIzMxEdnbFGrLqs0AgflLKx0oIAZ/PF/ZTksFggNlsjpi9RHaSC01XzIBa4yODtXJkLQA1WOtyueBpORieFhdC8RbXpg7obND4/bCcrmsrhFCDunI0rgz0G43GMjPnEBFRNdMaUNTnnnKDs6cuey22VMZ16Lf9Ofjopd3IOhK53Etl6fQaDBndAwOv6IL0lonI/j0fm9fux5fv7YE/ZNTl3m+PY++35WdeKUUBMlrZMeL2nmjZhR1ra5q7wIdTB51hdYSrg6JR0HVgG9iSzeprZrsRrXs0QUrzBOzb/GtYgLYmaLVO+P0skUBEVJ46Cc4+8sgjMb1WW6xWKz755BMsXboUzz77bMTRHy1btsS9996LKVOm1NuRklQxaWlpSElp2DekmpYtobRoAXi9xS8w9R81cnJ0VlJSEnw+H1wuF9xuN/x+vzpSVgihNvzKUTterxc6nQ5mszksiFRTlPvvg5g4GSiZOUKng3L//TW+/fIprC/bSIwaNQobNmyA2+3GqlWrcMMNN5Sa5+jRo/j666/V+WOxcOFC7Ny5E2PGjMGll14aNk2Oeo+USlmmT5bzUHyQn5vy8zJa3VgZECsZFAtNK280GnkvTlHJ73G73R5SmsACj8cDTTAIo1YLo9GoZseRtWxDR2273W643cUjnWQHLtkhgMFaIqK6FbC3rOtdKFPmD9l4a/42BAPVG/zS6TWYtuhKtOt+puxG07bJGD2lP84Z2g7P3f2/sABtpQgg60ghXp/zLW64vx/a966bbEyNgRACBUc91R6YBYCMtslhgdlQtmQzMtom40RmlBJn5VCUIJp3jl7/WEpN3dbgyq4QEdUEBmdPUxQFkydPxuTJk5GZmYl9+/YhLy8PdrsdHTp0QPfu3et0/4hqiqIoAOvLEpUiG2QTEhLUEbWy8VYGakMbcf1+PwoLC+F0OtXG4Zoaca+cdRbw3DMQS18A9uwpfrFHDyiTJkI5q3e1b48omrFjx+KRRx5BXl4eZs2ahSuvvDJsFBsA3H///QgEAtDpdJg4cWK56zx69ChmzZqFxMREPPvss6Wm9+jRAx988AE++OADzJw5U3199+7d+OWXX9R5qO4IIdTOK36/Hz6fr1RAVqYrlkHZkgFXRVHUWuGhNUWJYhVab16O1pa1jL2nOyYaDMUpMWXHKjmPzJJRcmR3aGmTSPWOiYio8RJC4Iu39ld7YBYAhozuERaYDdWuRxMMvroHPn/7x2rZVjAg8OVbP6NdrzR23q8hIgD4nDVTuzW9dVK50ysTnFWUIDqe9xOSMnJjmt9q/RVarRM5Of3AAC0RUWQsyBRB+/bt0b59+7reDSIiihMy2AoUj7JxOBxwu93QarWwWq0wm81wu91wOp0IBAJwuVxwuVzQarU1VgNROf984Lzz1Lp5sNn48Ey1Ljk5GY8//jimTJmCn3/+GUOHDsX8+fPRq1cvHDt2DE888QRWrlwJAJg+fTo6dSq//tXdd9+NoqIiPP/882jatHSa/RtvvBHz58/Htm3bMG3aNEybNg3Z2dm4/fbbAQB9+/ZF586dq/dAqVwl07+XDMZqT49YNBgM0Gq1pUYghtaNDf3MpZqjN5X/vRTLPPVBaO1iu90OIQQCgYDagUC+b2XHLKD4Pe3xeODz+dRRtX6/H/6QrBU6nU7tZMCRtURE8SnFWLoURigFSrnzxMLj9OP4ofwqryeSgVd0KXP6BX/uUm3BWQA4digPHqe/xmrQCiGgKAqCweLRvvz+rD4ma9n30MaQ6VqdH3qTJ6b1Nu98JObArLovpmwkJX2PoqLYns0CARMzcBFRoxI3T9uvvfYaAOCWW26J+UtZLvOXv/yl0tudM2cOAODBBx+MqeFcCIF//vOfUBQlbLQGERE1DrJxNxgMwu12o6ioCH6/HxaLBSaTSR114/P5wgK1er1eDdRW18OnoihAHdaXJQKAyZMn47ffflMDphdddFGpecaOHYu5c+eWu65169bhvffeQ79+/TBp0qSI8/Tu3Rv/+Mc/8MQTT2DBggVYsGCBOs1ms+GFF16o/MFQhcjRiG63u1RAVgbDQkcZlqTRaNT6nmazmR1MaplOr4U5wQhXQeRGOXOCETp9wxwZqiiKmkJbkvXkvV4vfD4fNBoNzGazmiY9tD6tDNiWDNbKOsh6vR4mk4nvaaIYffnll1iyZAk2b96MrKwspKSk4Nxzz8Udd9yBq666Kupy+/btw0MPPaSWWOjevTumT5+Om266qczt7dixA+eddx5atGiBn376SU11Tg2TTW9DW1s7HC76JeL0Nra2sOlttbxXFZPeMrFK06tKCKHWavf7/er/5b1f6D1gMBgsNU1+V2q1WnU9oRRFUZ+RNRoNjIFClBcu9wf8apC3vlG0gN6irZHRs26HF2Z79Ox4HocXtuR8tOl1CJZERxW2pAHQE0AXAIkA8gHsB7AbwJnza7Ech8USWw1kIQC/3468vF7w+Rp2mTkiIiCOgrO33XYbNBoNrr322lLp8CIJBALqMlUJzj766KNQFAX33ntvTMHZYDCoLsPgLBFR46XRaGCxWNRRswUFBQCgBhpkI65MoSgbc2XaY7PZzFSd1GDMnTsXw4cPx+LFi7F582ZkZ2cjOTkZffv2xYQJEzBy5Mhy1+FyuTB16lRotVosW7aszE4M8+fPR6dOnbB48WLs3bsXZrMZQ4YMwWOPPYaePXtW56HVqUCg7BrWQpQ/T3UTQsDr9aqpX0Mb40JHx0b6fJNBWJ1OB61Wy5SwcaBNr6bYv/lXlCwDrCjF0xoTrVaLhIQEAKVHgstgrfyOD51Hfr8HAgH1x+PxwOFwhHVOKFlLmYiKPfjgg5g3b17Y98kff/yBtWvXYu3atRg7dixWrFhR6vrZs2cPLrjgAuTnnxmpuH37dtx888347bffcP/990fcXjAYxMSJExEIBLBo0SIGZhuJid3uwsPf3Qe/8Ie9rlN0mNTtrmrZhtGiQ7MOiTUyejb793w0bZscdXrW79W7zYy2NjjcBShyiVLZUKoiEIgcjJQZLeQ8gWDZz8kCwKlCP4KOkwDOdI4KpdFoSpUZ0mg00Gg0Ya/VRXBXURQktDDi1EFntdedzT6Sh9Y9mkSdXnjqZ3QZ+CM0mqpsWAPgKgChqbaTAfQH0A7ABwgN0MZKUQC9vhBpad8gJ+c8eDyse0xEDVvcBGcBVOoLvzpvEoiIiCpKURSYzWaYTCZ4vV61Bi0QHqh1u93weDzw+/1qwFan08FkMsFoNLLBluq9IUOGYMiQIZVe3mw2IzMzM+b5x48fj/Hjx1d6e/WBEHr4fHbo9YURp/v99hpP/SVTu3q9XgSDQQQCgbD779CAVcmArKwnKz/rGIyNQSxBgmoMJNhTLOh0fisc3ZcNR17xd5c1yYQWXTNgTym/w2xDpdFo1PrywJlOCTIYK2vWhs4jRxPJ0eShAV7gzGhy2YGhPo70IapuS5YsUTNr9O3bF/PmzUPv3r1x9OhRPPnkk/jvf/+L119/Hc2aNcP8+fPDlp08eTLy8/PRq1cvvPjii8jIyMCzzz6LRYsW4eGHH8a1116LDh06lNrm0qVLsW3bNowcObLMUbnUsHRP6oGZ58zByoOv4ueC/QCAzgldcEvH29AtqUe1bENRFAy9oQvemr+t2uvObl67H6On9I8+/X/7q21bGq2Cvle0KDW6FTiTeUJRlFI/QPH3pQx+ytfkc678vxwlGwwG1XkDgQCCwSCCwaCa7tjjSIXRfyriPrq1yRBaE2TvMtk5qiSXy1X+8Wo06r1t6H4riqKWKSr5rF4dnQxNCXqkdbYi74gLflfFA5nRZB3ORUrzBNiSzaWmFeU6YU3aXcXALFA8YjZyDWSgCYAeACqfZltRBOz2/fB40gDwfomIGq64Cs5WhEyJUd01/Mrj8RSn/eJoJyIiCiXrJRqNRiQmJqqBWvlAaLFYYLFY4PP54HK51Dp3RUVFcDgc6rKss0hEofLzeyE19RsoSngjihAK8vJ61cg2ZSDK7XbD5/OV6gxZVkBWZgZgMLZyFKMRSEkBcnIiz5CSUjxPNUpMtyEhzYqAv7hhUKvTMHBYQuh3PFB8jch03qEja2XpA4vFEpb2WI6slZ2zFEVR69vKmrVEjU1ubi4eeughAECnTp3wxRdfqKNY09PTsXLlSggh8MYbb+CZZ57BhAkT0LFjRwDAr7/+io0bNwIA3nzzTXTv3h0AsHDhQmzatAk7duzAypUrMWvWrLBt/vHHH3jooYdgtVqxaNGi2jpUihPnpJ6Ls1P6wOEvTuVq1Vmr/fuufe90jJ3VHx++tBtZvxVW26jIL9/bg3OGtUe77qUDYr/sOYGN7++p+kYUIKWZGReN7Yw23dLUFMQySAlUb23Y0HVF+h4sanYZDL+9CaXECEwBDRzNRiDNkga/368GkeXvcr9lwDY0vbJMuRwqNAhdcprsWB1JaBC35E/o6FytVquO2A1dVqvVwmjToUl3O4J+gYCvcgFavyeInEPOM8cQFNi3+VdktE1GeuskGK0GeBxeZB/Jw6nfs3HOZZE7fVZM2TWQga6oSnAWAAyGPCiKnzVoiahBq7dPgbt37wYAJCdHT+tRE7Zt2wYASEsrr/oBERE1ZrKB1m63q6NpZe1ZvV5fajStnEen08FsNsNoNLJxnIjg9aYgJ+c82O37YTDknX4tCQUFXaq9FpP8LPJ4PGENVXIErGxcKhmQ1ev1at1tBmSrTnvBIATW/g8oOWJFo4F20KAa2aaiKA22vmxNkFkzQuvRBgIBeL1eOJ1O+Hw+9ftekqUOvF6vOq/X64XD4VBTgke9hjLKSeunKOXPQxRnXn/9deTl5QEA5syZEzG98BNPPIG3334bfr8fS5cuxdNPPw0A2LVrFwCgffv2amBWGjlyJHbs2KHOE+qee+5Bfn4+nnzySbRq1aqaj4jqA0VRary+bMsuKZjwxGC4HT4U5rgrtY68bCfefuI79f9+XxDP3fUBBl/dAxf8uQvSWyYi6/d8bP7ffmx8fw/8JQJ7l03sBHtK9M5cOp0eGo0MHuqg02phTzHBlmgu9xlUo9GEBWtlMFIGNkNfA6COhNVqtWEjU4u3Xfya3+9XR8/K+QPmTijS3gjziQ3QuY4BALymZihKvRB+S8vTx3GmWbsinZxD73MDgYC6XyVr6fr9/rAyHvLf0CBvZTM6lhxJHPp3k38XjUZTblkEvVkLa5oBjpNe9TURFDiRmYMTmeGd/bS66hrRXV6N45qtgUxE1FDUWXD2tddei/j6ypUr1R7JkQQCARw7dgyvvvoqFEXBOeecU6HtzpkzJ+Lr//rXv8r8IpfbXbVqFRRFwXnnnVeh7RIRUeMU2oCbkJAAp9MJp7O4Z6scTSvrN8pAbWFhIRwOBywWC1MeExE8nnR4PGlQlOLMMULoUNUUX3JEgRBCDRrJzDTAmbSuMi1xSXq9Xh0hy1F/1Utp2hSay4Yj+N02IDu7+MX0dGj69YPSpHHVga0vZKOqXq+H1WpVG3Plv6HBWiGEOppWpkgOBAJwOp1wuVwwGo2wWq3hI2zsdohOHYEDByPvQMcOUOz2WjpaouqxevVqAMVlQK6++uqI87Rs2RIXXHABNm7ciFWrVqnB2YKCAgBARkbpUYRNmjQJm0dav3493nzzTfTu3RvTpk2rrsMgispk1cNkrdyov/RWdvS5uDV2fHpEfc3vC+Lzt3/E52+XPSKx26AMtO2Zonaqk7XPpfKCfRqNBmazGTqdTk1TLGu3ho6irU5R7yWT+0G06Qv4i7NRGbQmJIcEReVoWXk/K1MlA1ADvlJoQDX0+Mv6W8hsGCXJUbiRfpf316JEymU5CrnkvoQuH428zwjtKBlaZzexlQl+bxCeAn+Z6wn4tSjKtcGWXFTmfOXLR3GN2bKmV43Xm3T6mYeIqOGqs0+52267rVRvLCEEJk6cGNPy8kst1vmlRx99NOJ2ZZ2TWLar1Wpxzz33VGi7REREWq0WdrtdHU3rdDrhdrvVUbZWq1UdYRsMBlFUVISioiKYTCb1AZmIGiulymm9ZCpWt9sdFogNJUfvyUY4oLiTiXxNpjTmCNmapWnZEkqLFsDpeqVgjdJ6RafThX1nBwIBuFwuNRVy6KhaWZtWphGXo9dNJhMsFsuZkUf33wcxcTJQ8trV6aDcf3+tHRtRdfnuu+JRgX369Cmzg/7AgQOxceNGZGZmIi8vD0lJSUhISAAAnDx5stT82ac7tch5gOLyVJMnT4aiKFi2bBnvqSkuBQIBNcAYCARw3qgWyD6Wj99+ij3Q1bZXKq684xzoDWW/x2V6fQBqkE8GcePt+lAUBdAXB0hL3glVdF9lUDR0BKwcrQug1DSPx1OqxIf8vSr3wpGCuzKAK/cpNDWzfE3ev8vSSbImrl6vR0p7M/J+dcGVW1aAVsHRfW3R+fw9UKpUd3Y/gOg1kIF9VVh3cfmWgoIuYL1ZImro6vQbN/TLLfSLsDwajQa9evXCvffei5EjR9bKdnU6HdLS0nDeeefhnnvuwYUXXljh7RIREUkmkwkmk0lNI+pwFNc+slgsMJvNaiNuIBBQgymy5y7rnhNRrGT9WJlONfSeV6ZP0+l0aieR0NEDsn6s2WzmCP46oCgKUM31ZaluaLVa2Gw22Gw2tX6dDMQCZ+4JfD4fioqK4Pf71fsAeX2aevWC8twzEEtfAPacri3YoweUSROhnNW7Do+OqOKOHz+ujmzt0KFDmfO2b99e/X3v3r0YMGAAevcufs8fOnQIBw8eVGvRAsC6desAQJ0HKM6UdvDgQdxxxx0YMGBAtR1HJFlZWWqAOFYHD0YZFU8NmuycI7MoRBo9eemETtj8f0ew9+usctfX5+LWuPS2HtDqzqQTloFXQ0gnL1nvvDGq6P1spHTrQPio3NBUyHI0b+iIXfl/eQ8eWos2FqGB20AgoNazl4Fbl8ulBmsVixbILXu9usQWOHkqAUlJP0KnK0Tl+v7tBtAeQOnsBcAJAJWrgSwE4PfbkZfXq9rLtxARxaM6C87+8ssv6u9CCLRv3x6KomDPnj0RU0ZIer0eKSkpMJlMldpuyZsd2ShVVFRU5naJiIhqgk6ng81mU0fNOhwOeL3esJTHchSNrE+n1+vVdKMcSUVEJYUGZOUIDEmmqjOZTBEbqDQajdpJhB1BiKpf6Khaea3KhlW9Xo/k5GR4PB64XC419bHP54PT6YSuSxeYly2B3ust/v632XgfQPVSaPBSpiGOJnS6HCnbtm1bDBw4EJs3b8Ytt9yCV155Benp6ViwYAG++eYbaLVa3HjjjQCAn3/+GfPnz0dGRgbmzZtXA0cTbsmSJZg9e3aNb4fqJxmQlT8lB4rILCWhKYlHT22CnGsc+PyNffj5uxMQwTPLGMw6nHNRK/Qb3h5NWiWpgVe5HqoZJTNkxCI0OBuajjl05GzoCFkZ6JUpjUsKBoNhpUmKg7VBAOUEZ40a+HwpyM4eAkXxQastvy6yVutEauq20K0DWAOgB4CuKK4xm4/iEbN7Tk8/49SpfggEym9zDwRMVc4URERUn9RZcLZNmzZh/2/dujU0Gg3atWtX6cBrZQwePLjGaiYQERHFKrQ2rcvlgtPphMfjUUezBQIBOBwONdgiR9fIIC2DKEQkG2g8Hk+pgKz8rNBqtWHBHHkfLNMZG5g+l6jWKIoCo9EIo9EIu92OwsJCOJ1O9TVZs1Zm0pDf/1qttni0bUj9OqL6pKjoTL3D8tp/zGZzxOUWL16MwYMHY8uWLejevXvYMrNmzULnzp0BAJMnT4bH48FTTz2F5OTiGol//PEHXnvtNezduxdmsxlDhgzBddddx2AW1QjZEUemrw8NyMp7MJlOONp7MKWZFdf9vS80ihY5xx0QAQVpzRKRnG6DTq/jd0E9EHqOYg3shtbSlSNlZU17AOr9AlAcrHUXeZH7h6fMdQYCAehE8UAlIfTw+8tvR/D77XA42sBq/TXk1SCAH0//ROdwtIHHU3YnHCKixipuCgkcPny4Trb7xRdf1Ml2iYiIopFBWhmQdTqdAIprZ5VsqJWjbbRaLSwWC0fTEjUisrFPBmxC68jKgKysbRn6uaDX62G320ulMSaiuqPVapGUlASr1YqioiK4XC51ZI7FYgkrcxB6fyDr0rOzMdVX5d23Rpt+9tlnY/PmzZg5cyY2bNgAj8eDbt264W9/+xtuvfVWAMDKlSvx2WefYdiwYRg7diyA4jagkSNHqmmVAWDp0qVYvHgx1q5dC7vdXk1HRhUVsDYtc7qAUu488UR+bns8nrA0t1qtVs2EVLKDrRwtq9Vqw1ISh46ebFJ//gRURYqiRE1BLTNvyJGzGo3m9Pup7OBsfn4BdB6l1PtMpys7yJ+f3wNarRMmU+xp293udOTn94h5fiKixiZugrNEREQUTqvVIiEhATabTR1NE9pQK4O0Xq8XgUAAhYWFapp+s9nMIC1RAxQMBtWRFyVHXwAIG00f+hkg68cajcYKp2EjotojUxsnJiaq6Y3dbje0Wi2sVissFgs8Hg+cTmdYJy2dTqde/+x0QfHOZrOpv8taidGETg9dDgB69uyJ999/P+JyeXl5+Pvf/w6DwYClS5cCAHJzc3HdddehoKAADz30EKZNm4asrCz85S9/wVdffYV7770XL7zwQmUPC0DxSN3rrruuQsscPHgQo0aNqtJ2GwJhTIQvpRv0OXsjTvendIUwJtbyXsUuNGVxybqjGo0GRqMxYmcaed9mNBqZwYRiJjNsAVBr0RblOZGFojKXU5Qz79Xw14sDtqEpseWI7mIa5OT0Q1LS97BYjpe7fw5Hm9OBWd6TEBFFEzctMwcOHMCdd94Ju92O999/v8wHykAggNGjR6OoqAgvvvgi2rdvX4t7SkREVLs0Gg0SExNht9vhdrvVHrLygUwGa0JH07jdbjVNKUfTENVvQgh4PB41KBtKNvbJxpPQ650BWaL6S9aHNpvN6ve8w+GAz+crTmlsMqmjZmQgoKioCA6HQ01zGG20DVFdS0tLU3/Pysoqc94TJ06ov6empsa8jQceeAAnTpzAzJkz0aVLFwDFI2lPnjyJgQMH4rHHHlP35fXXX0ePHj2wYsUKzJs3T01/XBkZGRnIyMio9PKNXf6guUj933VQguH3O0KjR96guXW0V9EFg0F4PB41k0mkGrKybERoO6fBYIDRaITFYuGzGlWZHAEbLL+sK5KSkgDdmbq2smyCrGFb8llDURR1RLfBYEBBQcdyg7OnTvVjKmMiohjETSvNW2+9hS+++AITJ04st6evVqtFy5YtsWzZMrz99tuYMWNGlbefnZ2NZcuW4ZNPPsH+/fuRl5cX1sutJFnAnYiIqLZoNBpYLBZYLBb4/X61Ni0A9XX5WiAQgNPphNPphF6vh81mY3CGqJ7x+/1ho+MlOUIuUgoyjUYDq9UaMVUeEdVPod//Xq8XRUVFcLvdUTtpyd9DU2Ky7AHFk+bNmyMhIQEFBQU4dOhQmfNmZmaqv3fr1i2m9W/duhX//ve/0bFjRzz44IPq65s2bQIAXH755WHzd+vWDe3atUNmZia+++47XHLJJbEeClUzb9N+yBn+GuzbnoAh+/vi19LPQUG/++Br2q+O9+5MSQm/318qXTEQXkNWBswkvV6vZjhihgOqK4qiQB8y6hZAWJBWBm1lsFZOCwQCpzsiONG0nNTagUAMUWIiIoqf4OxHH30ERVFwxRVXxDT/lVdeiaVLl2LdunVVDs5u2LAB119/PXJyckr1ciMiIopHOp0OdrtdHU1bWFgIn88Hs9kMk8kEj8cT1os7NzdXHUnLkTRE8UkIAZ/Ppzb6hfZclzVkI42Gl6MytFotTCYTG/yIGjCDwYCUlBR1pKzb7QaAsOCtHGkf2pgqyx7wM4LixbnnnosNGzZgx44d8Hg8MBqNEefbvHkzAKB9+/YxjWgNBAK48847EQwGsXjxYphMJnXayZMnAYSP3JUyMjKQmZmJ7OzY6ylSzfC0HAxPiwuheIvrAgtDQnEu1jpQ8t5MBq5C6XQ6NVtBpM6w8vOZz2AUD1JSUqDoiwOuMgDr9/vVTp+hgsGg+uPz+eDxlF3PVvL7/QgGg7zfICIqR9wEZ48cOQIAOOuss2Kav1evXmHLVdbx48cxevRo5Ofno0OHDhg9ejSefPJJKIqC+++/H06nEz/++CM2btyIYDCIHj164JprrqnSNomIiKqTDNh4PB4UFhbC6/WqrwWDQRQVFanBWo/HA71eD7PZzJpGRHFC1n2So95DyfSkofWfFEVRr/HwWlBE1FjodDokJSWpac8dDkdYyQOr1aoGEpxOJ4QQcDgccDqd6kja0M8Voto2atQobNiwAW63G6tWrcINN9xQap6jR4/i66+/VuePxcKFC7Fz506MGTMGl156adg0s9kMIHIqZZk+Wc5DdUxR6qy+bGhA1u12lwrGhmYlKJmuGAi/dytZcoKorul0Opht4Z1hZKdQORpcXgMajUZ9f8t7C42m/PdzQUEBPB6/+owi0yLr9Xro9Xq2QRARnRY3LTny5thut8c0v81mAxBef6QyFi5ciPz8fHTp0gXbt2+HxWLBk08+CQB4+OGHYbEUp2I4cuQIxo8fj88++wxXXXWVWp+EiIgoXsiGAFmDzuVyAQASEhLg8/nUNIeylowcicfUWkS1R6YGkyMwvF5vWKOfRqNRR14YjcZS9ck48o2IQoV21pB15+X3vwwcmM1meDwetQOI7KylKAr0er16/8DGUqpNY8eOxSOPPIK8vDzMmjULV155pdr+It1///0IBALQ6XSYOHFiues8evQoZs2ahcTERDz77LOlpvfo0QMffPABPvjgA8ycOVN9fffu3fjll1/UeajxkcFYWUqi5L2ZXq9X789KdopTFAVGo1Ht/MpgLNU38n1dsnOK3+9X0x3LrFyxPIPI+4nQcoBer1f9XavVhj3z6HQ6PtsQUaMUN8FZu92OnJwcZGVlITGx/N5xMphb1V6Nn3zyCRRFwfTp00s9CIRq3bo11q1bh8GDB2Pu3LkYOnQoLr744iptm4iIqCbIxtiEhAQUFRWhqKhI7aVqtVrhcrngdrsRDAbhdDrhcrlgMplgsVj4UERUQ2SdaI/HE7GMhkxJXDLwKmtNMiU5EZVHq9UiISFB7ZQlA7J+v1/9fAltYJUdRbxeLxwOh1r+gKPxqTYkJyfj8ccfx5QpU/Dzzz9j6NChmD9/Pnr16oVjx47hiSeewMqVKwEA06dPR6dOncpd5913342ioiI8//zzaBqhKOKNN96I+fPnY9u2bZg2bRqmTZuG7Oxs3H777QCAvn37onPnztV7oBS3ZOdVr9eLYDAYNk2Ojo12/2UwGNSyEsxCQA2VDJwajUbYbLbTnUzLv0dITk6G12uFz+eDoihqgNfn8yEYDKplF0JLuCiKoo6uNRqNvBchokYhbj7pOnbsiK1bt2L9+vUx3XSvX78eANCuXbsqbTczMxMAMGjQoFLTvF5vWMBWp9Nh1qxZuPzyy7F06VIGZ4mIKK4pigK73Q6LxQKXywWHwwEAsFqtMJvNaqoun8+nBmzNZjMfhoiqiQx8eDyesMYH4EyjXqTe4qGNgRzNRkSVITtl2Ww2teasLG2g1+sBFHcakfVpg8GgmnVDNsRylD7VtMmTJ+O3335TA6YXXXRRqXnGjh2LuXPnlruudevW4b333kO/fv0wadKkiPP07t0b//jHP/DEE09gwYIFWLBggTrNZrPhhRdeqPzBUL0gs5Z4PJ6wUX2KoqgdXPV6fanRr1qtVh0ZG2k6UTzQm8p/ho9lnmiKA6ixvfc1Gk1YLXE5uCoYDKojcmVHsdBUyj6fD06nU00drtVqI6YPJyJqCOKm5fXiiy/Gli1bMG/ePNxwww1ITU2NOu+pU6cwf/58KIpSqoZIRcmG6tBelbJuX0FBAZKSksLm79u3LwBg69atVdouERFRbdFqtbDZbOqoWYfDAZ/Pp46ikSNmZF06p9MJs9kMq9XKoBBRJTmdTuTk5IS9JtOLRqu1ZDAYYLPZYDKZams3iagRkGmLA4EA3G43XC4XvF6v2jnEarWqHbZkwELeE8iOIkw5SDVl7ty5GD58OBYvXozNmzcjOzsbycnJ6Nu3LyZMmICRI0eWuw6Xy4WpU6dCq9Vi2bJlZb5X58+fj06dOmHx4sXYu3cvzGYzhgwZgsceeww9e/aszkOjOFFWZznZESXSvZkcwWexWNhxleoFnV4Lc4IRrgJPxOnmBCN0+prvWJCWlgafz6Z2gJCdImRpJTkaPTRgGwwG1eBs6L2IFBqslbWc2VZBRPVd3NxdTJkyBU8//TSOHj2KIUOG4OWXX8Z5551Xar6tW7fi9ttvx2+//Qaj0YipU6dWabuJiYnIyclBQUEBkpOTAQCpqak4duwYDh48iNatW4fNX1BQAADIzs6u0naJiIhqm6IosFgssFgs8Hg8cLlccDqdai9xWYNOTvN6vRHTrBJR7OQINKPRGDbKQtYnMxqNakMDrzMiqklarRZWqxVWqxXBYBButxtOpxNer1e9FwgGg+p9QCAQUEfTylFl8jOLDaJUnYYMGYIhQ4ZUenmz2axmRYvF+PHjMX78+Epvj+KfEAJutxtutzsswAMgrNZ2ycwlofdmvC+j+qhNr6bYv/lXlKyioijF06rOWu4cGo1NvZZCyVGzoSPYA4EANBoNNBqNWvdW3ovIeUN/QsmyMDJQq9VqOaqdiOqVuAnONm3aFIsWLcKECROwd+9eDBgwAF27dsU555yDhIQEFBQUYOfOndi7d69ap+u5555DixYtqrTdTp06YcuWLTh+/DjatGkDAGqNk//973+l0uqsXbsWAJCQkFCl7RIREdUl+bBks9lQWFgIl8ulvub1elFYWIhAIACHw6EGcKP1Kiei0iwWC1JTU0vVj5Wj0jkCg4jqkqxnbbFY1BSCLpcLQHGgy2w2hwVpZUOpx+NRA7V6vV7tXEJEVBYBIFgLmUH8fr+aBSC0jqz8vCrZWU5+FsrMJkT1nT3Fgk7nt8LRfdlw5LkBANYkE1p0zYA9xVLO0rEwAkgBkBNlesrpeUqTo2YNBoNaRlDWoJUBW7e7eJ/lqFo5j9frVetD+/3+0/VvA2pGTEle50w/TkT1QVy1Ct1+++0AgLvuugtutxt79+7Fvn371OkyKGsymbBgwQJMmDChytscOnQotmzZgn379qF///4AgKuuugofffQRFi9ejG7dumHMmDEIBAJYvXo1Hn74YSiKggsvvLDK2yYiIqprOp0OycnJsNlscDqdcDgcMBgMSE5OVuvQyZp0Ho8HWq1WTf/Fhx2i6EJHnJvNZnUUOjs3EFG80ev1SExMREJCAjweDxwOBzweT9ioF5lmUAY85O/AmZTtMk0hEVFJfrsdooaCn7JmthyFJ8lOcSWzAMlamEajEWazmfdm1OAkptuQkGZFwF/cQUGr01Tz+3wQgP8BCJZ4XXN6WuzkqFm9Xg+z2azei8iRs16vFxqNRn2WkkLvRWS8QM7v9XrVdctAMNsuiCgexVVwFigO0F5xxRVYsmQJ1q9fjwMHDqCgoAAJCQno1KkTLrnkEkyePDmsRmxV/PnPf8a8efPw4Ycf4rbbbgMAjBs3Dk899RQyMzMxceJETJw4UZ1fCAG9Xo8ZM2ZUy/aJiIjigWyYtVgsyM/Ph9frVUfOhPZADwQCal1a+aCj0+nYqEFUgl6vR1JSEtOCE1G9oSiK2vjp8/ngcDjgdrsRDAah1+uh1+ths9nUmnCyfpxsCI2Wxp2IGpiM9HJn0drPZJsTioLCnr2qdReEEPB4POrnjwjJ4So7koZ2GJFBGrPZXCqdMVFDpChKDdaXbQpgOIBtAGTZv3QA/U5Pq7zQexGg+FqXI2p9Ph/8fj+CwaDa+SJ0hK0sx+D1etWsH7IdQ6fTQaPRqDVrFUVRUykTEdWVuPwEatq0KebMmYM5c+bU+LYGDBiA5cuXh+XBNxqN+OijjzB69Gjs3r07bP7ExES8+OKL6NevX43vGxERUW3T6/VIS0uDx+OB0+mE2+2GTqeDzWaD1WpVe6fKhhCv1wutVguLxQKj0cggLdFpycnJarouIqL6RnYwAYobO91ut9rgKQO1FotFbQiVmTb8fr+ahUMGanlvQNSwKHY7RKeOwIGDEadrmzeDxlwcWPElJaGoSxf4U1KqvF2Z2tTj8cDn84UFZGWtypK1Yg0GA2w2Gz+LiKpdSwAtAHhP/98AoPqvMUVRStWvDQaDakkGOUo2GAxCq9XCZrMBKA7q+nw+9d7F5/NFXL8csavX69lpg4hqXVwGZ2uToij461//Wur1jh07YufOnfjyyy+xc+dOeDwetG/fHsOHD2e9WSIiavDkA1AwGFTr0Pl8PrUXq6zv4vP5EAgEUFhYCKfTqaYH44MNERFRw6DVamG1WmG1WtWUgbL0gWwItVgsageu0NG0RUVFsFgsMBgMHJ1C1IAo998HMXEy4PeHT9DpEJwzG9nduwMAhE4HVDEo6vV61QBLKFluRdaTVfdNUWC1WtUMP0RUUxREqy9bk0JTk0uy3UKOsAWg1rf1+XxqbVtZ3xYo7nwms4EAxZ8psr2D7RlEVBt4l1IGjUaDYcOGYdiwYXW9K0RERHVCo9HAZrPBZrOpDSNOpxNarRYJCQlhD0Ey5bHL5YJer+eIGSIiogZGp9NBp9PBYrGodR4dDgf8fr+aXjAQCKjBW9mZy+FwQKfTwWq1sjYtUQOgnHUW8NwzEEtfAPbsKX6xRw8okyZCOessiLIXL5ff74fP51NH5UsyIGs0GksFXs1mM6xWK/R6PZ8/iBqZ0HYLAGomD4fDAX2UetfBYBAOhwNer1cN3jocDjidTuj1ejU9Oj9PiKimMDhLREREMZE9T+12OxwOB1wuF/x+vzpiRgZv5agar9cLh8MBi8UCk8nEhxoiIqIGRKPRqCNq3W63mvpYljswm81qrTdZJy4/Px+Koqi1H6M1mBJR/FPOPx847zygqKj4BZutSvf7JTt2qNs5XYPSbDaXqmctA7Umk4mjZIlIpdPpkJiYCJvNBo/HowZfZeavQCAAjUYDu90OoDhQKz9/QtszFEWBVqtV/zUajdBqtaU+i4iIKiPu7lyys7OxbNkyfPLJJ9i/fz/y8vLCbspKUhQlrBcdERER1Sz5ECODtEWnG2RCUx6HNqwUFRXB7XYjISGBDzFEREQNkLwHSEhIUIO0Ho9HHU0bmmlDCKGmQJb1IHl/QFQ/KYoCnA5uVIYMiMhOHKHr1ev1ai3Z0BSjsoyKDJIQEUUjO4yVJISA0+lUs39oNJqwDCCyc1loGmQ5mh+AOrJWq9VCp9OxIzoRVUpcBWc3bNiA66+/Hjk5ORCiqklQSnvttdeqdX1/+ctfqnV9RERE9Y0cMSNHycr6cxaLBRaLRU2D7Pf7kZeXB6vVCpPJVNe7TURERDVAo9Go9wAejwdOpxMejwcAYLPZ1Lq1cqSt1+tFTk6OWjOSdd6IGj4hhFq72uv1hrX/GQwGGI1GGAyGsM8CWd+6ZKCWiKgyZG1qq9WqfibJTmRarVad5vP5IIRQO5b5/f5StWoVRQmrf83PKCKKVdwEZ48fP47Ro0cjPz8fHTp0wOjRo/Hkk09CURTcf//9cDqd+PHHH7Fx40YEg0H06NED11xzTYW2cdttt1VbTxZFURicJSIiOk2mPJa932VjrOzVnp+fD7/fj8LCQrhcLvV19jAlIiJqmGS60ZKjU/R6PfR6PSwWC4qKiuD1etVGTqfTCZ1OFzYihYjqP5/Pp6YJDQQCYQFZrVarjr4vGZCVnwVms5nPDURUI2Rw1Wg0IhgMwu12w+l0wuv1hpVfMBqNAKBmA5GBWrmM2+1WSzfIex2ZEpmIKJK4Cc4uXLgQ+fn56NKlC7Zv3w6LxYInn3wSAPDwww+rKQiOHDmC8ePH47PPPsNVV12Fxx57rELbqYkRuURERFQsNB2Qx+NRg7KJiYlwuVxqTdrCwkI4nc6IDTFERETUcISOTvH7/XC5XHA4HACAxMTEUnXeSgZqLRaL2iBKRPWLz+dT05yH0mq16ijZ0OCHRqOByWSCxWKBwWCo7d0lokYuNAOIvCcRQqgdTGQKZJvNpi4jO57IzicyVTtwJkW7/KxjpzMiChU3wdlPPvkEiqJg+vTpEXPBS61bt8a6deswePBgzJ07F0OHDsXFF18c0zZ++eWX6tpdIiIiKofRaERaWhpyc3Ph8XhgtVphNpvVWnSBQAAOhwNOpxNGoxEmkymscYaIiIgaFp1OB7vdDqvVqnbUKlnnzefzqelO/X4/CgoKoNPp1HsFdugiim9CCLVeY2gd2dC0nyUDFDIgy8w6RBQvdDoddLrw0InMBiI7lAUCATWLGAA1G0hoYFcGboHi4K+8nym5biJqfOLmUyAzMxMAMGjQoFLTvF5vWMBWp9Nh1qxZuPzyy7F06dKYg7Nt2rSpnp0lIiKimGg0GqSmpsLpdKKwsBAAYLFYYDKZ4PV61ZG0Mg1QtLRmRERE1HBoNBokJibCbrer9wMulwtarVa9FwhNLej3++H3++FwOGAymWC1WnmfQBRH5Ah4WZMxNGud0WiE2Wwu1QnTYDDAbDYzhTkR1Ruh2UAAqBlBZKey0ECtEAJ+v18Nzvr9fgSDwbB7HtlhRa/X876GqBGKm+CsTGvUtGlT9TWTyQSPx4OCggIkJSWFzd+3b18AwNatW2ttH4mIiKhyLBaLOmq2qKgIPp9PDcLKdGcyDVDoaFqLxcLGGiIiogZKpjA1mUxISEhQR826XC4AZzp0yYbPQCCgjsiTo23ZmElUd0IDE5HqyBqNxrB7eXlNM70nETUEMiOI3W5XO53LFMiBQECtPWu1WhEMBtV55D2NvK+R6zIYDNDpdAzWEjUScROcTUxMRE5ODgoKCpCcnAwASE1NxbFjx3Dw4EG0bt06bP6CggIAQHZ2dq3vKxEREVWcoihh9WidTidcLpf6wBLa497n86kPLSaTCWazmQ04REREDVjoqNmEhAS43W4UFhbC7/ero1R8Ph8cDodak9blcql1Kw0GA9OhEtUCGXiQ9aElmX68ZEBWo9HAarWy0yURNWg6nS6sFq0cNSvbNTQajTqyVgZqQ2vVyiwhkhxVG/oaETUscROc7dSpE7Zs2YLjx4+r6Yd79eqFY8eO4X//+x8uuuiisPnXrl0LAEhISKi2ffjhhx/w+uuvY+vWrcjOzobH48GhQ4fU6VlZWfjuu+9gMBhiTqVMREREpcmGm4SEBDidTjidTgBQg7derxdOp1MdVetyuZjGkIiIqJEI7dDlcrnUrBt6vR5JSUnweDxwOBwIBAJqxy7WcSOqOTIVpxztFUpedzKVZ+jrMm0x79+JqLGRNWtlqcbQjmUAwlIgB4PBsE4vgUCgVAcYImp44uaJZejQodiyZQv27duH/v37AwCuuuoqfPTRR1i8eDG6deuGMWPGIBAIYPXq1Xj44YehKAouvPDCKm/b6/Vi6tSpeOmllwBATcVSstetwWDA9ddfD7fbjd27d6Nr165V3jYREVFjptVq1TRAcjSt2+1WH1RkHbrQHqeyoYcNr0RERA2fDNIGAgEUFhaqpQ+MRiP8fr8anA0EAmqHLrPZrNZw42haosqTKTjdbndYW5m8voxGY1jgVWa8Kfk6EVFjp9frkZiYGFbGQWYNCy3zAJyp4y1H1hJRwxQ3d0p//vOfIYTAhx9+qL42btw4tG/fHj6fDxMnTkRSUhJSU1Px17/+FYWFhdDpdJgxY0aVt33LLbfgpZdeghAC7dq1w9VXXx1xvqSkJIwcORLBYBDvv/9+lbdLREREZxiNRiQnJyM9PV3tXWowGJCYmIikpCTo9XoIIeB2u5Gbm6umOiQiIqKGT6vVIikpCenp6WrjpU6ng9VqRXJyMhITE2E0GgEALpcL+fn5OHXqFAoLC0uN9COi6OQo2dzcXOTm5sLlckEIAZ1Oh4SEBKSmpiIhIUGt+azRaGCz2dCkSROkpKSwFjQRURlkBxe73Y60tDQ0bdoUqampsNls6n2MRqOB2WxGYmIiUlNTkZiYyLTwRA1Q3Aw5GTBgAJYvX65+CAHFjbQfffQRRo8ejd27d4fNn5iYiBdffBH9+vWr0nbXrFmDd999FxqNBosXL8bEiRPhcDhgt9sjzn/FFVfgjTfewJdffokHHnigStsmIiKi0nQ6HZKSkmC1WtWUxzKNoUxz7PF41F78BoNBHSFDREREDZter0dKSooaQJIZNkKzbrjdbvj9fgQCATXzhsFgiJh6lYiKM8jJa6fkKK1IaYtD68sajUaOUCciqiRFUdTPUuBMimPZ3gGA9y5EDVTcBGcVRcFf//rXUq937NgRO3fuxJdffomdO3fC4/Ggffv2GD58eLXUm3355ZehKAruuusuTJw4sdz5zzrrLADAvn37qrxtIiIiik6m/bHZbGoaQ71eD71eH5bmWKb6MRgMsNls7FFKRETUCGg0GlitVlitVvj9fjidTjgcjrAabrK+m9frVdMH6vV6WK1W6PX6Oj4CoroXDAbVsiIybTFQfB8uOzSEjoI1m82w2Wy8foiIakjJFMfyHiYYDNbxnhFRdYub4GxZNBoNhg0bhmHDhlX7urdu3QqgOIVyLJo2bQoAyM7OrvZ9ISIiotJkGkO73Q6HwxHW8BoIBNQGJa/Xi9zcXLU2HdOpERERNQ4y3arFYoHD4YDX64XP51M7esnabm63Gz6fD3l5edBqtWrjJ+8ZqLGR99Aej0cNymq1WnWUbGhnR5le02q1QqerF82IREQNRminMyJqWOLmrqpPnz5QFAWPP/44hg8fXmvbPXXqFACgTZs2Mc0vH9pYs4aIiKh2abVaJCQkqOmOHQ4HAMBut8NsNqOoqEgdIeNyuWA2m2GxWJhmjYiIqJHQ6XRITEwEUPzMXlRUFJZ5QwZv3W43AoEAHA4HXC4XTCYT9Ho9dDodA7XUYAUCATXrjN/vV4OysnZzaOO/oigwmUwwm81MW0xERERUA+ImOLt7924EAgH06NGjVrebkJCAnJwcFBYWqg9xZfntt98AAKmpqTW9a0RERBSBVquF3W5Xg7RFRUVqnVqPxwOXy6UGad1uN2w2W1hNeyIiImr4tFqtWh7B7XajqKgIANR7CK/XC6fTqY4glCLV1ySqr2TtQhmUDRUpxbfBYIDFYuGIciIiIqIaFjd3Wk2aNAEAWCyWWt1up06dAADffvttTPN//PHHAIDevXvX2D4RERFR+TQaDWw2GzIyMtT7B6PRiKSkJCQkJECr1SIYDKKgoAB5eXnw+Xx1vMdERERU27RaLaxWKzIyMpCQkACNRqPWc0tOTobdbofRaFTTuHo8HuTn5yM3N7dUHU6i+kDWYM7Ly8OpU6dQWFioBmZlQDYlJQVJSUlqYNZsNiMjIwNpaWmwWCwMzBIRERHVsLi52+rXrx8A4KeffqrV7Y4YMQJCCDz11FPlFtbOzs7GM888A0VR8Oc//7mW9rBmrVixAoqixPRz8uTJqOv58MMPMWjQIFitViQmJmLEiBHYtm1budtfsGABFEXBtddeW52HRUREjYhGo0FSUhLS09NhNpsBFAdpk5OTYbVaoSiKWl+uoKAAfr+/jveYiIiIapuiKLDZbGjSpAnS0tLUVK0mkwkJCQlISUlBcnIyTCYTFEWB3+9HYWEhcnNz4XQ6y20vIKprXq8XeXl5yM3NhcPhUDsmarVaWCwWNSBrsVjUzggWiwVNmjRBcnIy68kSERER1aK4Cc5OmjQJQgjMnz+/Vrc7depUJCUlYdu2bbjuuuuQnZ0dcb5vv/0Ww4YNw4kTJ5CRkYFx48bV6n7Gs9dffx1XXHEFNm3aBKfTiYKCAnz00Ue48MIL8eWXX0Zd7tixY5g5cybsdjsWLFhQi3tMREQNkV6vR3JyMtLS0mAwGKAoitoQZTKZABSPhsnLy0NhYSGDtERERI2QoigwGAxITU1VRwnq9XooigKdTge73Y6UlBRYrVZoNBq1Nq0cScsgLcUTr9eLoqIi5OTkID8/Xw3IGgwG2Gw2pKamqu9nrVYLRVFgNpuRnJyMpk2bIikpSQ3UEhEREVHtiZvg7CWXXIKHH34Y69atw5gxY3Ds2LFa2W5ycjL+85//QKPRYNWqVWjVqhUuuuiisP1q164dLrjgAvz000/Q6/VYuXJlradfrg179uxBYWFh1J+0tLRSy+Tn52PKlCkQQmDMmDHYv38/fvjhBwwePBgejwe333571IfXv/3tbygsLMScOXPQokWLmj48IiJqJAwGA9LS0pCcnAytVguNRgO73Y7k5GQYDAYIIeB2u5Gbm4v8/PxS9beIiIiocTAYDGr2jSZNmqhlETQaDSwWi5r2WJZKKCwsVINgvH+guiKEgMfjUe9lXS4XAoGAOhI8NTUViYmJMJvNanpivV6PpKQkdZRs6DQiIiIiqn1xk7Pkr3/9KwCgRYsWeOedd/Dee+/h7LPPRvv27csMhCqKgpdeeqlK27788svx8ccf49Zbb8XRo0fD0vF+/vnnao2ZZs2a4fXXXw8L3jYkFosFNputQsusWrUKhYWFaNGiBV577TW1Xsk777yDNm3a4NChQ/j6668xePDgsOU+/PBDvPvuuzjnnHNw1113VdsxEBERSWazGSaTCQ6HA0VFRdDpdEhMTITX64XL5YLX61V/tFqtOr+iKHW960RERFTLZC17q9UKt9uNoqIi+Hw+mEwmGI1GuFwuuN1uBAKBsPsHOZ2jD6mmyaCs0+lEIBAAUNwmZjQaYTQaodPp1ICrRqOB0WiE2WxWU3gTERERUfyIm+CsrH0KFN9w+v1+bN++Hdu3b4+6jBCiWoKzAHDRRRchMzMTb731Fj755BPs27cPeXl5sNvt6NChAy677DLcfPPNalpEKrZr1y4AwGWXXaYGZgEgIyMDAwYMwIYNG7Br166w4KzL5cLUqVOh0WiwbNkyPsQSEVGNkfXlLBYLioqK4HA4YDAYYDAYEAgEwhpa5XSLxQKTycTRBERERI2QTPtqNpvVlLFutxsWiwUWi6XU/YPD4VDvL0wmk1pagai6RArKajQamEymUiNgdTodrFYrLBYL34dEREREcSxugrOtW7eukxvHH374AUDxqNj09HTccsstuOWWW2p9P+qrgoICAMXB2JKaNGkSNo/02GOPITMzE5MnT8Z5551X8ztJRESNnkajQUJCAqxWKxwOB5xOJwCogVu32x3WyOp0OmG1WjmSloiIqBEzGAxISUmBy+WCw+FQR8vK+wePxxOWiYPZOKg6RQvKyveXDMrqdDr1tdBO80REREQUv+ImOHv48OE62e7ZZ58NjUaD9evXY9iwYXWyD/HG6/XCYDDENG9CQgIA4OTJk6WmZWdnh80DAPv27cNTTz2Fpk2b4l//+lc17C0REVHstFotEhISYLPZ1IZWv9+vjoZxu91qA5gcSWs2m6PWTyciIqKGT46kDQaDcLlcKCoqCnvd7/fD7XbD4/GE3UMYDAbodHHT7EL1RDAYDLsnBSIHZfV6PWw2G8xmc13uLhERERFVQqN/SrBarXA6nejdu3dd70qdGzVqFPbv3w+32w2TyYRu3bphxIgRmDp1Kpo1axZxGfl3+/TTTxEIBNQUxbm5ufj222/D5gGASZMmwev14plnnkFiYmKNHUtWVpYaHI7VwYMHa2hviIgo3mg0GlitVrWunMPhgMfjgclkgslkgsvlgsvlQiAQUEfZEhERUeMWev8gRzS63W7odLqwerXyHsLj8cDj8dT1blM9I4RAYWEhgOhBWbvdzrJbRERERPVYnQRnNRoNNBoNCgoKYLFYIs5z5MgRAMXpjmtSq1atsH//fjidTqSmptbotuKdrB8LAG63G99//z2+//57LFq0CC+//DKuvfbaUsuMHDkSVqsVhw8fxqRJkzBnzhy43W5MmTIFDocDbdq0waBBgwAAr776Kr744gtccskluPHGG2v0WJYsWYLZs2fX6DaIiKhhkAHZ0LpyciSMx+OBy+WCz+er690kIiKiOGI0GmE0GtXRtE6nEz6fr9RoWrfbDSFEXe8u1TM6nQ5Go5FBWSIiIqIGSlNXGy7r4cThcKBt27Zo3759je/HiBEjAACfffZZjW8rHpnNZowdOxb/93//h59++gmFhYUoKirCjh078Pe//x16vR6FhYW48cYb8emnn5ZaPjk5GQsWLAAAvPjii2jWrBnatWuHdevWwWAwYPny5dBqtcjJycE//vEPGI1GLFmyRF1+165deOihh3Drrbfi3nvvxddff11rx05ERBRK1pVLTU2F0WgEUNzwmpSUhKSkJKaMIyIiolLkaNr09PSwewg5mjYlJQVWq1XNMkVUHrvdjuTkZFgsFmg0Guj1eqSkpCA9PZ2BWSIiIqIGIq7TGtdG79J7770Xr776KmbOnImLL74YLVu2rPFtVobP58OhQ4eqtA6DwVAq4H3DDTfghhtuKDXvOeecg3POOQdXXnklLrvsMng8HkyZMgU//fRTqYfK22+/Henp6Zg3bx527twJnU6HAQMG4NFHH8WAAQMAAPfffz+ys7Mxe/ZsdOzYEQDw1FNP4f777w+r4/f0009j2rRpePbZZ6t0rERERJUlR8L4fD44HA64XC7o9Xro9fq63jUiIiKKY/IeIhAIqGUTQmvbE8VC3nOaTCZYLBYGZImIiIgaIEXUQX4djUYDRVFQWFgY8QHF4XDAbrdDURQEAoEa359t27bhmmuugcvlwn333YcrrrgC7du3j6sb4MOHD6Ndu3ZVWkeHDh0qVVf13nvvxdNPPw0A+Oabb9C/f/8KLb9582YMGjQInTp1wg8//ACj0YiNGzdi6NChMJvNWL58OS6//HJs2bIFN910E06dOoX//ve/VUp9XNmas6NGjVL/v3v3bvTo0aPS+0BERA2DrDvrcDgQDAbRvHnzut4likN79uxBz5491f/zPoKIiACE1bbnPQRFUvIe4ptvvkG/fv042pqIiIioAauztMbxQqvVon///jh69ChOnTqFGTNmoFevXmraoWg/Ol1cDzquVqEByx07dlRoWb/fj4kTJ0IIgaVLl6opnhYuXAghBKZNm4Ybb7wRiYmJuPTSS/HYY48BAJ555pkq7XNGRgZ69OhRoR85opeIiCiUVquF3W5H06ZN0bRp07renbixYsUKKIoS08/JkyejrufDDz/EoEGDYLVakZiYiBEjRmDbtm3lbn/BggVQFAXXXnttdR4WERFRtTKZTEhNTeU9BMXMbrczMEtERETUwDWeCGMUJQcO18FA4pi0bdu2zvatSZMm6u95eXkVWvbZZ5/Fjz/+iJtvvhkXXXSR+vqmTZsAAJdffnnY/FdccQWA4iCw2+2Oq9HLREREGk2j79dWrV5//XXceuutYfc4H330ETZs2ICPP/4YQ4YMibjcsWPHMHPmTNjtdixYsKC2dpeIiKjSeA9BRERERERSow/OPvLII3W9C3Hv+PHj6u/JyckxL3fkyBHMnj0bSUlJpUbCyhE0aWlpYa9nZGQAAILBIHJycpj2iYiIqB7Ys2cPWrduHXW6zWYr9Vp+fj6mTJkCIQTGjBmD2bNnw+PxYOrUqdi4cSNuv/12/PzzzxEbs//2t7+hsLAQzz77LFq0aFGtx0JERERERERERFSTGJxlcLZc7733nvp7nz59Yl7urrvugsPhwLJly9Sgq2Q2m1FYWIisrCx06dJFff3EiRNh8xAREVH8s1gsEQOwZVm1ahUKCwvRokULvPbaa9Dr9QCAd955B23atMGhQ4fw9ddfY/DgwWHLffjhh3j33Xdxzjnn4K677qq2YyAiIiIiIiIiIqoNdRqc/frrryOmrXW5XOrvX331VbnpfEs22lFsCgsLEQwGkZiYGHWe9evXY8mSJQCArl27ol+/fjGte/Xq1VizZg369++PO+64o9T0Hj164Ntvv8WaNWtw4YUXqq+vWbMGANC8efMKjdIlIiKi+mXXrl0AgMsuu0wNzALFWTQGDBiADRs2YNeuXWH3eS6XC1OnToVGo8GyZctYj42IiIiIiIiIiOqdOg3OjhgxIuo0RVEAAEOHDi1zHYqiwO/3V+duNRqHDh3CkCFDcMMNN2D48OHo1asXUlNTEQgEsH//frzxxht44YUXEAgEoNfrsWTJkpjq5DgcDtx9993Q6XRYtmyZei5D3XTTTfj222+xaNEidOnSBZdffjm2bNmCmTNnAgBuvvnmaj9eIiIiih8FBQUAUCq7BnCm3r2cR3rssceQmZmJyZMn47zzzqv5nSQiIiIiIiIiIqpmdRacLW80LNWOgoICvPjii3jxxRejzpOeno5XXnkFw4YNi2mdjz76KI4cOYLp06fjrLPOijjPxIkT8dZbb2HTpk2YMGFC2LSuXbvi4Ycfjv0giIiIKC54vV4YDIaY5k1ISABwpg59qOzs7LB5AGDfvn146qmn0LRpU/zrX/+qhr0lIiIiIiIiIiKqfXUSnH3llVfqYrNUQseOHbF8+XJ8++232LFjB06cOIFTp05BCIHU1FT07t0bI0aMwK233lpm6uNQP/74I5577jm0atUKs2fPjjqfXq/Hxx9/jMceewxvvfUWfv/9d6Snp2PUqFGYM2dOWGMsERERxbdRo0Zh//79cLvdMJlM6NatG0aMGIGpU6eiWbNmEZfp3bs3AODTTz9FIBBQUxTn5ubi22+/DZsHACZNmgSv14tnnnkm5vsSIiIiIiIiIiKieKMIDmElAgDs2bMHPXv2VP+/e/du9OjRow73iIiIKH6tWLEC48aNK3Meu92Ol19+Gddee22pabm5uWjVqhUcDgcmTJiAOXPmwO12Y8qUKVi3bh3atGmDQ4cOQavV4tVXX8Vtt92GSy65BJ988klNHZIqKytLHb0bq4MHD2LUqFHq/3kfQURERLFgWwQRERFR41OnNWeJ4onH4wn7/8GDB+toT4iIKN516NABJpOprnejTpnNZowdOxajRo1Ct27d0KpVKyiKgp9//hkrV67EwoULUVhYiBtvvBFJSUm4+OKLw5ZPTk7GggULMH78+FIlFgwGA5YvXw6tVoucnBz84x//gNFoxJIlS9R5du3ahbfffjss+8agQYOq5diWLFlSZgaQWPA+goiIIuE9BJXEtggiIooV7yOIGg6OnCU6bfXq1WEjXoiIiKKpTyMafD4fDh06VKV1GAwGtG/fvkLLfPnll7jsssvg8XjQuXNn/PTTT2rq4lBr1qzBvHnzsHPnTuh0OgwYMACPPvooBgwYAACYMGECli9fjtmzZ2PWrFkAgKeeegr3338/gsFg2LqmTZuGZ599tpJHecajjz5a5eAsERFRJPXpHoJqB9siiIgoVryPIGo4OHKWiIiIqAE7evQounXrVqV1dOjQocKjOIYMGYKpU6fi6aefxs8//4xt27ahf//+pea76qqrcNVVV0Vcx+bNm/HSSy+hc+fOuP/++wEAGzduxH333Qez2Yzly5fj8ssvx5YtW3DTTTfhueeew3nnnYcbb7yx4gdJRERERERERERUCxicJSIiIqIaMWrUKDz99NMAgB07dkQMzkbj9/sxceJECCGwdOlSGI1GAMDChQshhMC0adPUIOyll16Kxx57DJMmTcIzzzxT5eDs5MmTcd1111Vomc8//xx33313lbZLREREREREREQNH4OzRKcNGTIEq1atUv/fqlUrtSG4ITp48GBY6qRVq1ahY8eOdbdDjRzPR3zh+Ygv8Xg+OnToUKfbr4i2bduirqpYNGnSRP09Ly+vQss+++yz+PHHH3HzzTfjoosuUl/ftGkTAODyyy8Pm/+KK64AUBwEdrvdVarDk5GRgYyMjAot06JFC7Ru3Vr9f0O/jyhPPF63VDf4XiCJ74Vi9ekegmpHY2uLqAv8/KlfeL7qF56v2sX7CKKGg8FZotOSkpIwcuTIut6NOtOxY0fWLIgjPB/xhecjvvB81B/Hjx9Xf09OTo55uSNHjmD27NlISkrCM888Ezbt5MmTAIC0tLSw12UwNRgMIicnB82bN6/sbldKY7+PKA+vW5L4XiCJ7wWiYryHqH38/KlfeL7qF54vIqLYaOp6B4iIiIioYXrvvffU3/v06RPzcnfddRccDgfmzZtXagSr2WwGAGRlZYW9fuLEiVLzEBERERERERERxRsGZ4mIiIioQgoLC5Gfn1/mPOvXr8eSJUsAAF27dkW/fv1iWvfq1auxZs0a9O/fH3fccUep6bIX9po1a8Jel/9v3rx5hUbpEhERERERERER1SYGZ4mIiIioQg4dOoTWrVvjjjvuwHvvvYcDBw4gJycH2dnZ+PrrrzFlyhSMGDECPp8Per0eS5YsgUZT/m2nw+HA3XffDZ1Oh2XLlkFRlFLz3HTTTQCARYsWYfny5Th27Bjef/99zJw5EwBw8803V+/BEhERERERERERVSPWnCUiIiKiCisoKMCLL76IF198Meo86enpeOWVVzBs2LCY1vnoo4/iyJEjmD59Os4666yI80ycOBFvvfUWNm3ahAkTJoRN69q1Kx5++OHYD4KIiIiIiIiIiKiWceQsEREREVVIx44dsXz5cowfPx59+vRBixYtYDKZYDQa0bx5cwwfPhwLFizAgQMHcMUVV8S0zh9//BHPPfccWrVqhdmzZ0edT6/X4+OPP8aMGTPQrl076PV6NG/eHJMnT8bXX3+NhISE6jpMIiIiIiIiIiKiaseRs0RERERUITabDbfffjtuv/32altnr1694PP5YprXarVi7ty5mDt3brVtn4iIiIiIiIiIqDZw5CwRERERERERERERERERUS1gcJaIiIiIiIiIiIiIiIiIqBYwOEtEREREREREREREREREVAsYnCUiIiIiIiIiIiIiIiIiqgUMzhIRERERERERERERERER1QJdXe8AEdWN9PR0PPLII2H/p7rD8xFfeD7iC88HUf3D65YkvhdI4nuBiOoKP3/qF56v+oXni4iochQhhKjrnSAiIiIiIiIiIiIiIiIiauiY1piIiIiIiIiIiIiIiIiIqBYwOEtEREREREREREREREREVAsYnCUiIiIiIiIiIiIiIiIiqgUMzhIRERERERERERERERER1QIGZ4mIiIiIiIiIiIiIiIiIagGDs0REREREREREREREREREtYDBWSIiIiIiIiIiIiIiIiKiWsDgLBERERERERERERERERFRLWBwloiIiIiIiIiIiIiIiIioFjA4S0RERERERERERERERERUCxicJSIiIiIiIiIiIiIiIiKqBQzOEhERERERERERERERERHVAgZniYiIiIiIiIiIiIiIiIhqAYOzRHEoMzMTb7/9Nv7xj39g2LBhSEhIgKIoUBQFK1asqPC67r77bnTq1AkWiwWpqakYOHAgFi1aBJ/PV+ayeXl5+Nvf/oZWrVrBaDSiY8eOmDNnDjweT5nLFRUVoXXr1tDpdNi5c2eF9jceVcf5aNu2rbpMWT9Tp06Nug6eDyAQCODzzz/HjBkzMGTIEDRp0gQGgwEJCQno0aMHJk2aVKFj5PVRNdV1Pnh9EMWvoqIivPPOO5g4cSL69u2L5ORk6PV6pKSkoH///njkkUdw/PjxmNf35Zdf4oYbblCv1WbNmuHPf/4z1qxZU+6y+/btwzXXXIOUlBRYLBb07dsX//3vf8tdbseOHdDpdGjTpg0cDkfM+0pnBAIB7Nq1Cy+99JL6XjAYDOrn8+HDhyu0Pr4P6rfKnj+eOyKqKn7+xLfqej48evQoxo0bhyZNmsBkMqFnz55YuHAhhBDlLme325GYmIhjx45V01E1bIcPH47pWVxRFLz77rsR18Hri4iokgQRxR0AUX9eeeWVmNfz3nvvCavVGnVdZ599tjhx4kTEZR0Oh+jdu3fE5S6//HIRDAajbnf69OkCgLjnnnsqeuhxqTrOR5s2bcpcj/yZMmVKxOV5Poqdc8455f4NFUUR9913X5l/EyF4fVSH6jofvD6I4tMff/whTCZTudem3W4Xb731Vrnre+CBB4SiKFHXM3bsWBEIBCIuu3v3bpGYmBhxuXnz5kXdZiAQEP369RMAxOrVqyv9t2jsNmzYUOZ74Jdffol5XXwf1G+VPX88d0RUVfz8iX/V8Xx47Ngx0apVq4jLTpw4scztjx49WgAQCxYsqInDa5B++eWXmJ7FAYh33nmn1PK8voiIKo/BWaI4JG9kUlJSxCWXXCKuv/569bVYg4Hbt29XG1QzMjLEf/7zH3Hs2DFx6NAhMWfOHKHT6QQA0b9//4gPMLNmzRIARFJSkvi///s/8fvvv4sXXnhBGAwGAUCsWLEi4nZ37doldDqdaNmypSgsLKzKnyFuVMf5kMGnm2++WRQWFkb98Xg8EZfn+SjWoUMHoSiKuOiii8SyZcvEDz/8IE6ePCl+/fVX8corr4Q9xM2aNSvqenh9VI/qOh+8Poji02+//SYACJPJJG6++WbxxhtviAMHDoicnByxd+9e8c9//lP9LNVqtWL9+vVR17V48WL186Bv377i008/FVlZWeL7778XN910kzrtvvvui7j84MGDBQDRq1cv8e2334rMzExx1113CQBCp9OJgwcPRlzu+eefFwDEyJEjq+NP0miFBmdbt24tRo8eLS688MIKB2f5PqjfqnL+eO6IqCr4+VM/VMfz4V/+8hcBQLRq1Up8+umn4siRI+Lxxx9XA/NffPFFxOXWrl0rAIg+ffoIv99fk4fZoIQGZ5ctW1bm83ikvyuvLyKiymNwligOvfXWW+LQoUPq/0MbxGINBg4ZMkQAEAaDQfzwww+lpr/wwgtlrrNt27YCgFi8eHHY6/fcc48AIIYNG1ZqmWAwKAYMGCAAiP/7v/+LaT/rg+o4HzL4dOutt1ZqH3g+it13333ip59+ijr92LFjolmzZup7/48//og4H6+P6lFd54PXB1F8OnHihLjvvvvEyZMno87z+eefq41lvXv3jjhPTk6OSEpKEgBEp06dRFFRUal5brzxRrUR58CBA2HTDh8+rH4m79mzJ2xanz59BAAxe/bsUus8fvy4SExMFFarVRw5ciSWQ6Yojh49KtatWyeysrLU1x555JEKBWf5PqjfqnL+eO6IqCr4+VN/VPX50O12qx3/1q5dGzbt6quvFgDEuHHjSq3X6XSKdu3aCY1GI7Zt21Y9B9NIhAZnK5KpTwheX0REVcXgLFE9UNFg4K5du9T577zzzqjzdenSRe1ZGCo/P19dvuSN0pdffqmOIi1p2bJlAoC44oorYjuweqq2g7M8HxXz1FNPqX+v1157rdR0Xh+1q7zzIQSvD6L67s9//nPU61AIIRYsWKBOf+ONNyKu47fffhNarVYAENOnTw+btnr1agFAtG/fvtRys2fPFgDE6NGjS00bM2aMACCefPLJSh4ZlaWiwVm+D+q3qpw/njsiqgp+/jQsZT0fymd1vV5fKoPVq6++GvH5XAghZsyYIYDoZXAouqoEZ3l9ERFVjQZE1OCsXr1a/X3MmDFR57vhhhsAADt27MBvv/2mvl5QUKD+npGREbZMkyZNSs0DAFlZWXjggQdgsVjw/PPPV37nqRSej4rp2bOn+vvRo0dLTef1UbvKOx9VxfNBVPdi/dw1Go24+uqrI66jZcuWuOCCCwAAq1atCpsmr+GS1zgQ/Tpfv3493nzzTfTu3RvTpk2L7UCoRvF9UL9V5fzx3BFRVfDzp2Ep675RnovU1FRoNOFN1tHO108//YSnn34azZo1w+OPP14Tu0xR8PoiIqoaBmeJGqDvvvsOAKDRaHD++edHnW/gwIHq79u3b1d/T0hIUH8/efJk2DLZ2dml5gGAv//978jNzcWsWbPQtm3bSu97Y+H3+xEMBmOal+ejYk6cOKH+XvLvAvD6qG3lnY9IeH0Q1S+xfu726dMHRqMx6nrk525mZiby8vJKrbPkNQ5Evs49Hg8mT54MRVGwbNky6HS6ChwN1RS+D+q3qpw/njsiqgp+/jQsZd03yv/n5ORACBE2LdL5EkJg0qRJ8Pl8ePbZZ5GYmFhTu92oeL3emObj9UVEVDUMzhI1QPv27QMANG/eHGazOep87du3V3/fu3ev+ntCQgLatGkDAPjoo4/Cllm3bh0AoHfv3uprGzZswH/+8x/07NkT06dPr/oBNGCffPIJWrduDYPBAJ1Oh6ZNm+Lqq6/GmjVrSj18SDwfFfP222+rv8ve06F4fdSu8s5HKF4fRPWPy+XCBx98AKB4lEOXLl3Cph8/flztMd+hQ4cy1xXtc1dew4cOHcLBgwfDlol0nf/rX//CwYMHMWHCBAwYMKCih0Q1gO+D+q2q54/njogqi58/DU9Zz4ddunSB0WiE1+vF559/HjYt0vlasWIFNm7ciMsuu0zNfEWVN3fuXKSkpMBoNEKv16Njx44YP348du7cGXF+Xl9ERFVUt1mViSgWFa1xmpycLACIc889t8z5Qms1lqzr9eCDDwoAIiMjQ6xfv17k5+eLN998U1gsFgFALF++XAghhMfjEV26dBGKooivvvqq0sdYn1Sl5mxZPyNGjBC5ubkRl+f5iM0nn3yi/j0vvPDCiPPw+qg9sZwPIXh9ENVn8voDIGbOnFlqemid77///e9lrkvWrQIg1qxZEzZt4MCBAoA4//zzxU8//SSys7PFww8/LAAIrVYr9u/fL4QQYv/+/cJoNIqMjAyRk5NTfQdKpVSk5izfB/VbdZw/njsiqgx+/jQssTwf3nTTTQKA6NSpk9i6davIzc0Vzz//vFpT+NNPPxVCCHHy5EmRlpYmTCaTOHjwYG0eRoMSWnM22o+iKGLGjBkiGAyWWp7XFxFR5TF/AFEDVFRUBAAwmUxlzhc6alAuI82YMQPvv/8+9u7di0suuSRs2sUXX4xx48YBAObPn4/9+/fjr3/9KwYNGgSgOFXJypUr8e233yIQCOCss87CbbfdFnNK04aoR48emDx5MgYPHozWrVsjPT0dJ0+exMaNGzFv3jzs3LkTH374IUaPHo1PP/20VH0Vno/y/f777xg7diyA4npEixYtijgfr4/aEev5AHh9ENVXH3/8MebPnw8A6NixI+67775S84R+flblc3fx4sUYPHgwtmzZgu7du4dNmzVrFjp37gwAmDx5MjweD5566ikkJycDAP744w+89tpr2Lt3L8xmM4YMGYLrrruu1GcJ1Ry+D+q36jh/PHdEVBn8/Gk4Yn0+nD9/PjZs2IADBw7gvPPOC5s2btw4/OlPfwIA3HfffTh58iTmzJmjjqrOz8/Ha6+9hp07d0Kr1eL888/HLbfcUmY67MZOo9Hg4osvxg033IB+/fqhZcuWsNls+O2337B27Vr861//QlZWFubNmweDwYDZs2eHLc/ri4ioCuo6OkxE5avoSE29Xi8AiEGDBpU5n8/nU9d7xx13lJp+8uRJMWXKFNG8eXOh1+tF+/btxcyZM4XL5RJCCHHw4EFhMplEWlqaOHnypBBCiN9//1107dq1VE+75s2biz179lT84ONQZUbOlsXj8Ygrr7xSXefrr78ecT6ej+gKCgpEnz591ONbtmxZ1Hl5fdS8ipyP8vD6IIqN1+sVe/furdLPoUOHYt7e7t27RVJSkgAgLBaL2L59e8T5Nm3apF5bDz/8cJnrXL9+vTrvf//731LTf/zxRzFq1CiRmJgoTCaTOOecc8SKFSvU6f/5z38EADFs2DD1tQ0bNoiEhIRS1/mFF14oCgoKYj7e+qI23wcVGTnL90H9Vl3nj+eOiCqKnz8NQ0WfD3/99VcxduxYkZaWJgwGg+jWrZt45plnRCAQEEII8dVXXwlFUUSXLl2Ex+MRQhSf42bNmpU6X927dxfHjh2r8WNsqI4dOybatWsnAAi9Xh/xPpHXFxFR5TA4S1QP1FRa44KCAnW9JdO2xuKyyy4rtU9/+tOfBFCcgjQzM1McPXpUjBs3TgAQ3bp1E36/v8LbiTfVHZwVQogTJ04Is9ksAIjLLrusUutorOfD5XKJoUOHqufkkUceKXN+Xh81q6LnIxa8PojKF0tKsvJ+OnToENO2Dh06JJo3by4ACIPBID766KOo81YkHeGaNWvUeUumsy1Pbm6uaNKkiTAYDGLfvn1CCCFycnJEWlqaACAeeughkZ2dLfbs2SPOPffcqB1v6rvafB/UVFpjvg/iT22cP547IoqEnz/1X3U/H3q9XtGzZ08BQGzYsEEIUdyxukuXLgKAGDdunDh69Kj45ZdfxPDhwwUAcemll1b9QBqxDz74QD1/c+fOrdCyvL6IiKJjcJaoHqhoMLBTp04CgGjVqlWZ8x04cEBd7+OPP16hfXrzzTcFADF48GD1tR9//FEAEFarNayGhM/nEy1bthQAxP/+978KbSce1URwVogzgaL09PQKL9tYz4fH4xEjRoxQz8d9991X7jK8PmpOZc5HrHh9EJWttoJyR44cEW3bthVAce/51atXlzn/0aNH1fWPHTu2zHlffPFFdd5NmzZV6PgnTpwogPC6t4sWLRIAxMCBA8Pm/emnn4SiKMJgMDS4mlfxGpzl+6B+q43zx3NHRJHw86d+q4nnw3nz5pV6P8jgYevWrYXP51NfP3XqlLBYLAKA2L17d5W33Vj5fD5hMpkEAHHddddVaFleX0RE0TGJO1ED1LVrVwDAsWPH4Ha7o86XmZmp/t6tW7eY119QUIB77rkHer0eS5cuVV/ftGkTAGDAgAFqDQkA0Ol0uPTSSwEAmzdvjnk7jU2TJk0AAHl5eRVarrGeD7/fj+uvvx4ffvghAGDatGlq7cOy8PqoGZU9H7Hi9UFUtrZt20IUd7ys9M/BgwfL3Mbx48dx0UUX4fDhw9Bqtfjvf/+Lq666qsxlmjdvrtZwPnToUJnzVvZzd+vWrfj3v/+Njh074sEHH1Rfl9f55ZdfHjZ/t27d0K5dO3i9Xnz33Xcxb6c+qI33QWXwfVC/1fT547kjomj4+VN/1cTz4a+//oo5c+YgOTkZTz/9tPq6PF+XXnopdDqd+npKSgr69+8PgM92VaHT6ZCSkgKgYs/jvL6IiMrG4CxRA9S3b18AQCAQwNatW6POF3pzeu6558a8/oceegjHjx/Hvffei+7du6uvnzx5EgCQlpZWapmMjAwAQHZ2dszbaWyOHz8OAGGBolg0xvMRCARw0003YfXq1QCAyZMn49lnn41pWV4f1a8q5yNWvD6I6taJEydw0UUX4eDBg9BoNHj99ddx7bXXxrSs/AzdsWMHPB5P1Pnk52779u1jvtYDgQDuvPNOBINBLF68GCaTSZ3G6zy+8H1Qv9XU+eO5I6Ly8POn/qmp58O77roLTqcT8+bNQ3p6uvo6z1fN8nq9OHXqFIDYn8d5fRERlY/BWaIGaNSoUervb7zxRtT53n77bQBAnz590Lp165jWvX37dixZsgTt2rXDzJkzw6aZzWYAQFZWVqnlTpw4ETYPhfvjjz/Uh8k+ffrEvFxjPB/BYBC33nor3nnnHQDA+PHj8fzzz8e8PK+P6lXV8xELXh9EdevUqVO4+OKLsW/fPmg0Grzyyiu48cYbY15efu663W6sWrUq4jxHjx7F119/HTZ/LBYuXIidO3dizJgx6qh3idd5fOH7oH6rqfPHc0dE5eHnT/1SU8+H77//Pj744AMMGDAAEyZMCJvG81Wz1q1bp3aMiPV5nNcXEVEMaj5zMhFVVWVqnA4ePFgAEEajMWJtjdB6LC+//HJM6wwEAuLcc88VAMS6detKTf/oo48EAGE2m0V2drb6utfrFc2bNxcAxAsvvBDTtuJZRc/Hb7/9VuZ0l8slhg8frq5z5cqVMe1HYzwfwWBQ3H777erf6tZbbxXBYLDC6+H1UT2q43zw+iCKb3l5eaJPnz4CgFAURSxfvrzC68jJyRFJSUkCgOjcubNwOByl5rn55psFAKHT6cTPP/8c03p///13YbPZRGJiojh+/Hip6TNmzBAARL9+/cJelzWnAYj9+/dX+HioWEVqzgrB90F9VxPnj+eOiGLBz5/6o7qe10sqLCwUrVq1EjqdTvzwww+lpi9btkwAEM2bNxder1d9PTs7W62V+vHHH1d5PxqiI0eOlDn9119/Fa1btxYAhMFgiOmej9cXEVFsGJwlikMHDx4U33zzjfqzePFi9Qbl4YcfDpu2Z8+eiOvYvn27ehPapEkTsXLlSnH8+HGRmZkpHnvsMaHT6QQA0b9/fxEIBGLar4ULFwoA4tprr4043ePxiKZNmwoAYujQoeKHH34QP//8sxgzZkzEIEh9UdXzMXLkSHH++eeLp59+WmzatEkcO3ZM5OXliYMHD4qXX35ZdO/eXV3fJZdcEvPDS2M8H3fffbf6txo1apTIz88XhYWFUX88Hk/E9fD6qB7VcT54fRDFr6KiIjFgwAD1GnziiSfKvMYLCwuF3++PuK7Q785+/fqJzz//XGRnZ4tdu3apDaoAxH333Rfz/o0ePVoAEM8//3zE6bt27RKKoggA4m9/+5v45ZdfxNatW0WvXr0EANG3b99K/V0aqx07doTd84Q2vr733nth06J1vOH7oH6r7vPHc0dEseLnT/1QXc/rJU2fPl0AEPfee2/E6SdOnFCf72+44Qaxf/9+sXv3bnHRRRdFDNrSGampqWLkyJHi5ZdfFrt27RJZWVkiJydH7Nq1S8ydO1ekpKSo5/Sxxx6LaZ28voiIYsPgLFEcuvXWW9Wbn/J+hgwZEnU97733nrBarVGXPfvss8WJEydi2qdjx46JhIQEYbfbxdGjR6POt2bNGjWwVfKnvo5Cq+r5GDlyZEzLXn/99aKwsDCmfWqs5yPW8yB/Hnnkkajr4vVRddVxPnh9EMWv0EwRsf5s2LAh6vpmzJihNsRE+hk7dmzMHWLWrl2rNtCWtcx9990XcVs2m01s3769on+SRq1NmzbV8v3L90H9Vl3nj+eOiCqKnz/xrzqf16Vdu3YJnU4nWrduLYqKiqLOFxrAD/3R6XRi7dq11XiUDUtiYmK550mv18ccmOX1RUQUOwZnieJQdQVnhRDi0KFDYurUqaJjx47CZDKJ5ORk0b9/f7FgwYIK9Ry8/vrrBQDx3HPPlTvvl19+Kf70pz8Jm80mzGazGDBggFi9enXM24o3VT0fW7ZsEY8++qgYMWKE6NSpk0hOThZarVYkJiaKXr16iTvvvFNs2rSpQvvUWM9HdT/s8fqomuo4H7w+iOJXdQdnhRDiiy++ENddd51o0aKFMBgMokmTJuKKK64Qq1atinm/nE6naNeundBqtTE13rz44ovi7LPPFkajUSQlJYmRI0eKH3/8MebtUbHqCs4KwfdBfVfV88dzR0SVxc+f+Fbdz+vBYFDN4hLLOX7//ffFgAEDhMViETabTfzpT38SX331VTUdXcP03nvvienTp4tBgwaJtm3bCrvdLvR6vUhLSxMDBw4UDz74oMjMzIxpXby+iIgqRhFCCBARERERERERERERERERUY3S1PUOEBERERERERERERERERE1BgzOEhERERERERERERERERHVAgZniYiIiIiIiIiIiIiIiIhqAYOzRERERERERERERERERES1gMFZIiIiIiIiIiIiIiIiIqJawOAsEREREREREREREREREVEtYHCWiIiIiIiIiIiIiIiIiKgWMDhLRERERERERERERERERFQLGJwlIiIiIiIiIiIiIiIiIqoFDM4SEREREREREREREREREdUCBmeJiIiIiIiIiIiIiIiIiGoBg7NERERERERERERERERERLWAwVkiIiIiIiIiIiIiIiIiolrA4CwRERERERERERERERERUS1gcJaIiIiIiIiIiIiIiIiIqBYwOEtEREREREREREREREREVAsYnCUiIiIiIiIiIiIiIiIiqgUMzhIRERERERERERERERER1QIGZ4mIiIiIiIiIiIiIiIiIagGDs0REREREREREREREREREtYDBWSIiIiIiIiIiIiIiIiKiWsDgLBERERERERERERERERFRLWBwlqgBKSwsxL///W+MGTMGnTt3RkpKCvR6PVJSUtC9e3eMGTMGy5Ytw4kTJ+p6V6kBUBQFiqJgxYoVdbYPQ4cOhaIoGDp0aJ3tAxER1a3Dhw+r30mV/bntttvq+jBq3G233QZFUdC2bdu63pV6h/cbRERU3VasWBH1vsRut6Nz5864+eab8eGHH9b1rkYk9/XRRx+t9DrkvUlD+X6t6XutRx99VP27ExFR/cfgLFED8eyzz6Jt27a488478dZbb+HAgQPIzc2F3+9Hbm4u9u7di7feeguTJk1Cy5YtcfvttyMnJ6eud5uIiIiI6lhogLsuO13VZgA5tFH88OHDNb49IiKiWBUVFeHAgQP473//i8svvxzXXHMNvF5vXe9Wo/TFF1+o9wtffPFFXe8OERE1IAzOEtVzfr8f119/PaZPn46cnBzY7XZMmzYNH330ETIzM5GTk4PMzEx8/vnnuP/++9GqVSv4/X68/PLL+Omnn+p694mIiIiqpE2bNigsLIz4s2fPHnW+m2++Oep8L7zwQh0eARERETVm69atU+9J8vPzsWvXLjzzzDNITEwEALz33nuYMWNGHe8lERERVSddXe8AEVXN9OnT8c477wAAhgwZgnfffRdpaWlh8yQnJ6Ndu3YYNmwY5syZgxdeeAEPPPBAXewuERERUbVSFAU2my3iNIvFov6u0+miztcYrFixok5HxdZnHClDREQ1yWw2h92j9O7dG71798aAAQMwcOBACCGwZMkSzJkzJ27uZYQQdb0LcYf3WkREVBEcOUtUj23evBmLFi0CAHTv3h0ffvhhqcBsSQaDAXfddRe2bduGZs2a1cZuEhERERERERFRBfTv3x9/+tOfAAAejwdbt26t4z0iIiKi6sLgLFE9NnfuXPX3hQsXwmw2x7xst27d0KFDh1KvP/roo2o9DQA4duwY/v73v6Nbt26w2WxQFAU7d+4MW2bnzp0YP348OnbsCIvFArvdju7du+Puu+9GZmZmTPvz/fffY9KkSejRowcSExNhsVjQsWNHDB8+HMuWLcPJkyejLrt+/XrcfPPNaNu2LcxmM+x2O3r37o0ZM2bgxIkTUZcrWdds//79mDhxIjp06ACz2QxFUZCTk4PWrVtDURSMHDmy3ONYuHCh+vf7+eefYzp2yev14tNPP8W0adNw7rnnIikpCXq9HikpKRgwYAAee+wx5ObmRl0+Ur24N954A8OGDUNaWhpMJhM6deqEe++9F6dOnSp3f1avXo3LLrsMqampMJvN6NSpE+655x4cO3asQscVjdzXRx99FADw5ptv4qKLLkJ6ejrMZjO6du2KBx54AHl5eTGvc+/evfjrX/+KNm3awGg0IiMjAyNHjsTmzZvLXO7777/HP//5TwwdOhRNmjSBXq9HQkICevTogbvuugsHDhwoc/m2bdtCURTcdtttAIrfk6NHj0bLli2h1+tx9tlnAyh9joQQeOWVV3DhhRciNTUVCQkJ6NevH15++eWwnsgnTpzAgw8+iG7dusFqtSIlJQVXXnkltm/fHnWfgsEgNm3ahAcffBADBgxAWloa9Ho9kpKS0KdPH8yYMSPmc3n8+HHMnDkT/fv3R1paGoxGI1q1aoULLrgA//znP8Pe6zfffDMURUF6enq5dZF+/PFH9e/x4osvxrQvRETVqeR30dtvv43hw4ejWbNm0Gq1GDVqlDpvPH1Pv/vuu7jqqqvQsmVLGI1G2Gw2tGvXDoMGDcJDDz0U8fshWj3Xtm3bol27dur/x40bp+5nVerQVmQfZf3XV199FQDw66+/ltqHkvudl5eHt956C3/5y1/U70eDwYCmTZtixIgRWLFiBfx+f6n9kudh3Lhx6mvt2rUrtb3QOrRDhw6FoigYOnRo1OMNBAJ49dVXMXz4cDRp0gQGgwHp6ekYOnQoFi1aBI/HE3XZkufm999/x913342OHTvCZDIhJSUFl1xyCdauXVvGXxw4evQo7rvvPpxzzjlISEiAXq9HRkYGevTogRtvvBEvv/wynE5nmesgIqL40q1bN/X3rKysiPP8/vvvmDFjBvr06YPk5GT1eW3MmDHYuHFjmevPzc3FnDlzcP755yM5ORl6vR5paWno2rUrRo0ahcWLF0e8Lyl5DxXJ4cOHceedd6Jt27YwGo1o1qwZrrzySqxfvz62gz9t27ZtGD9+PDp37gybzQar1YquXbti6tSpZbY5lWzfys3NxUMPPYRu3brBYrEgMTERgwYNwmuvvRZxeUVRMGzYMPX/w4YNK3W/EJpdI9q9lnTixAmsWLEC119/vdp+ZjKZ0LJlS4waNQrvv/8+RyQTETUmgojqpaKiIqHX6wUA0aFDh2pb7yOPPCIACABiy5YtIjU1Vf2//Pn+++/V+WfPni0URSk1j/zR6/XipZdeiro9r9crJk+eHHV5+fPII4+UWrawsFBcffXVZS6XmJgoPv3004jbvvXWWwUA0aZNG7FmzRphsVhKLZ+bmyseffRRAUDodDpx/PjxMv9+vXv3FgDE4MGDY/p7h3r44YfL/Tu0aNFC7Nq1K+Lyv/zyizrfSy+9JMaMGRN1PR06dBB//PFHxPUEg0ExYcKEqMumpaWJ7du3q/9/5ZVXKnysQoiwcztu3Lio22vevLnYt29fxHUMGTJEABBDhgwR7777rjCbzRHXodVqxZtvvhlxHZ9++mm5f3ej0ShWrlwZ9VjatGkjAIhbb7014nk866yzhBDh5+jFF18Uo0aNirrNKVOmCCGE+P7770Xz5s2j7teGDRsi7tPy5cvLPa7ExETx2WeflXmeli9fLkwmU5nrGTJkiDr/F198ob7+zjvvlLnuu+++WwAQVqtVFBQUlDkvEVFlhH7u3nrrraWmy2mzZs0Sf/nLX0p9vo0cOVKdNx6+pwOBgLj22mvL3Y/Q/ZZC73tCye+wsn4q8l1fmX185ZVXyp2/5H4PGjSo3GUGDRok8vLyop6Hsn5++eUXdZnQ+41IsrKyRP/+/ctcX+fOncXBgwcjLh96br766iuRkpISdT1PPvlkxHV89dVXIiEhodzjCr2PJyKiuhP63RftmU4IIaZOnarO99FHH5Wa/tJLL5X7vHb33XeLYDBYatm9e/eKZs2alfvd8f7775daVk6L1FYjhBAff/xxxDYW+TN79mz1+y/a96vP5xOTJk0qc9/KelYPbd/au3evaN26ddT1yOfvSMdY1k/ouYt2ryW1bNmy3PWNHj1aeL3eco+HiIjqP36aE9VT69evV2/KIjU2VlbozV7Lli1F8+bNxfLly8Xhw4dFVlaW+PTTT9XGwoULF6rz9ujRQ7z//vvijz/+EL///rt49dVXw24816xZE3F7Y8eOVef5//buOy6K4/8f+OvoSC8aRREBCxFj+2iCWLBXDBZM7BpsSTTWqDHmEYiab4w1mmjUqBhLjC1GYy8f1KCosaCCYAVUkI6CYkGc3x/3u/0c3O1xdCSv5+PB44HM7OzM7p37npnd2ZYtW4pt27aJuLg4kZ6eLqKjo8XGjRuFn5+fmDNnTp7tcnNzRefOnaVgfMaMGeLChQsiNTVVxMfHi23btokGDRoIAMLS0lJERUVp7FsVOFtbWwsrKyvRoEEDsW3bNhEfHy8ePnwo9u7dK549eybu378vDA0NBQAxf/582WN3/vx5qS0bN24s9LGfP3++GD58uNi8ebM4d+6ciIuLEykpKeLKlSti4cKFombNmgKAcHNzE8+fP9fYXn2w0d3dXRgYGIipU6eK8PBwkZaWJq5fv55n0nXYsGFa6/Htt99Kef7zn/+IgwcPiqSkJBEbGytWrFgh7O3thZubm5SnuJOzrq6uUickLCxMpKamiuvXr4uZM2dKx93V1VVkZWVplKEaLK1Zs6YwMzMT3t7e4sCBAyIpKUkkJCSI4OBgYWNjI53n9PR0jTJCQkJE9+7dxU8//ST+/vtvcevWLZGWliaioqLE5s2bRYsWLQQAYWJiIiIiIrS2RTWwrTpH3bt3FyEhISI5OVnExsaK/fv3a5wjNzc3YWRkJGbPni0iIyNFWlqaOHPmTJ7B3T179ggXFxfh7u4utm7dKhISEkRiYqJYv369sLS0lI7Nq1evNOq0adMm4e/vL9atWydOnz4t7t69K1JTU0VERIRYtWqVqF+/vgAg7O3tZSfq1Sd4a9asKZYvXy6io6NFenq6iIuLE3v37hXjxo0Tvr6+ebZTffe6d+8ue/6fP38uDT4HBATI5iMiKg59J2dVMcvQoUOla9GtW7fy3OBVEa7T69evl9L79+8vQkJCxP3790VGRoa4c+eO2Lt3rxg/frz46KOPNLaVGzB8+vSpiIyMlMpdtWqVyMrKyvOTk5Oj9zEvSh1zcnJEVlaWGDJkiAAgateurVGHp0+f5tnPhx9+KKZOnSr27NkjLl++LBITE0V8fLwICwsTkydPlm7YGjx4cJ7tXr9+LbKyssSqVaukekZGRmrsT30QW9fkbE5OjnjvvfeksgICAsSFCxdEWlqauHbtmpg2bVqeeObx48ey58bW1lY4ODgIT09PsX37dhEfHy+Sk5PFrl27pM+okZGRuHHjRp7tc3NzRZ06dQQA4eDgIFauXCmioqJEWlqaSEpKEufPnxfLly8Xbdq0EeHh4XqfSyIiKj36Ts526tRJABAKhULcu3cvT9qvv/4qldG5c2exd+9eER8fL9LS0sTZs2el6yoAMXfuXI2y27VrJwAIc3NzMX/+fHHt2jWRkpIikpOTRXh4uPjll19Ejx49tI7n6JqcvXXrljQxa2VlJZYsWSLu3r0rUlJSxLFjx0Tr1q3zjAXITc6qbuI2MDAQY8eOFaGhoSIlJUUkJSWJffv2SddfQ0NDceLECY3t1ce33N3dhbOzs1i/fr2Ii4sTqamp4siRI8LT01PKk//G5aysLHHgwAEp/cCBAxrxgnpfvKDJ2Q4dOojZs2eLAwcOiKtXr4rk5GQRFxcnTpw4IQICAoSBgYEAIL788kut23NyloiocuH/5kRvqDVr1khBma4Jw8JSD/bs7e1FbGys1nypqalSsO3p6al1oOnevXuiWrVq0qBn/rv/du/eLe3rgw8+0Dnwlz9txYoV0oRZaGio1m0ePXok6tWrJwDdT5AAEHXr1tU6cafi6+srAOVTD3LGjRsnDaxlZ2fL5iuq+Ph4YWtrKwCIDRs2aKTnfxJEWx4hhOjdu7d07PI/rZiUlCRMTU0FANG8eXONgVAhhAgPD5fylMTkrK6JYvWB06CgII101WApANGlSxetd5ju2rVLyrN69epC1zMnJ0fqPI4cOVJrHvWnjvz9/bXelSyE5jnSdodvWlqasLKykgZgnZ2dRUpKika+1atXS+UcOXKk0O3KysoS7u7ussc2ISFBugPbw8NDJCUlyZaV//u5aNEiqROdfwBBZevWrVL9w8LCCl1/IiJ96Ds5C0BMnTq1WPsqi+t0v379BADRrFkz2WuNHF0Dhup1K+p1vbTrWFiqwVQDAwNx9+5djXT1QXH1p2S10TU5u3LlSqmcr776Suv26tfsGTNmaKSrx6TvvPOO1hvS1FctmTVrVp60q1evSmnanm4iIqKKR5/J2TNnzkgrlfXr1y9PWnJysrCwsBCA9qc+VWbMmCEACDMzszwrgT1+/Fja/9KlSwtdf12Ts6oVzgwNDcXp06c10l+8eCFNDMtdX/fv3y+lb9++XWsdXr58Ka2k0bRpU4109fGtGjVqiISEBI08Dx48kG7oGjRokEZ6SEiIXpPoQhQ/jlHFFFZWVlpjAU7OEhFVLnznLNEbKj09Xfrd1tZWNt/r16/x5MkTrT/Pnj3TuY/p06fDxcVFa9qmTZukd1YtWbIE1tbWGnmcnZ0xZ84cAMp3oBw4cCBP+uLFiwEADg4OWLduHYyMjGTrkj9tyZIlAICxY8eidevWWrexsbHB7NmzAQB//fUXHj9+LFv+3LlzYWdnJ5s+duxYAMDNmzfx999/a6RnZ2dj69atAJTv3CzM+3/15eTkhC5dugAAjhw5ojOvl5cXRowYoTVN9Y61ly9farw/eMuWLdI70RYvXowqVapobN+kSRN88sknha2+LFNTUyxdulRr2rhx49CsWTMAwNq1a3WWs3z5chgbG2v8vU+fPtJ35Ny5c4Wun5GREQYPHgyg4ONuaGiIpUuXSu+00aVVq1ZSuers7e3RtWtXAMCrV6/w9ddfw9HRUSPfwIEDpf0UpV2Wlpbo168fAO3tWrlyJZ4/fw4AWL9+PapVqyZbVv7v54gRI2BqaorXr1/Lvqdw3bp1AIBGjRrBy8ur0PUnIipJtra2mDdvXrHKKIvrtOodqk5OTnpda8pDRaljjx49ULVqVbx+/RrHjh0rtf2sXr0aAFC7dm0EBgZqzTN27FjpWrd27Vq8fv1atryFCxfC0tJS4+/NmzdH48aNAWhe99XfrVurVq3CNYCIiMrds2fPpHGazMxMXLt2DT/88AN69OgBIQSaNm2KNWvW5Nlm1apVePr0KRwdHaWxFW0CAwNhYWGB58+fY8eOHdLfc3Nzpd9L8tqRkpKCvXv3AgCGDh0Kb29vjTwmJiZYvny5znJUbfL19cWAAQO05jE2Npbit/DwcFy7dk22vMDAQNSoUUPj7zVr1pTit6L0q0uSKjbMyspCWFhYudaFiIhKHydniSq58+fPw8rKSutPjx49dG7r6+srm3bq1CkAgJ2dnRTIavPhhx9KA3MnT56U/v7kyROcPXsWADBgwACtg1By7ty5gzt37gAAOnbsKDv5/OTJE3h6egJQTlJfuHBBa3kKhQI9e/bUuc+ePXtKHRbVpJK6HTt2IDMzEwAwevRovduS36NHj7Bo0SJ07NgR1atXh6mpKRQKhfSj6kzduHFDZzm6zm2DBg2k3xMTE/OkqSaeHRwc4OPjI1uGXOeoKHx8fODg4CCb7u/vD0A5wR8TE6M1j6urKzw8PLSmGRgYoF69egA026uSm5uLLVu2oG/fvqhTpw4sLCzyHPfx48cDABISEvDkyRPZujZt2lTvjq2uc+Tu7i793q1bN615rK2tUbVqVQDAw4cPteZ5/vw5Vq1ahR49eqBWrVowNzfP066FCxcC0P55Onr0KADAw8MDrVq10qtNKo6Ojujbty8AIDg4GEKIPOmxsbE4fvw4AGDUqFGFKpuIqDR06tRJrxuryvs63bx5cwDAwYMHsWTJEmRlZRVY57JWlnW8desWZsyYgffeew/29vYwMjLKcz5SUlIAFHw+iurRo0e4evUqAKBv3746bzQcNGgQAOUNlhEREVrzmJqaomPHjrJlqD4b+T8XHh4e0ud3/PjxuHjxov6NICKictezZ09pnMbGxgaNGzfGlClT8PjxY3z99dc4d+6cRp9ZdSNYu3btkJOTIzsm8vr1a6mvfP78eWl7Ozs71KlTBwAwa9YsnDhxQqPfVhRhYWHSxG///v1l8zVp0kTqp+f37NkzhIaGAlDGaLrGfBo2bChtp96+/PSJveTGC0rS5cuXMWHCBDRr1gy2trYwNDSU4hYLCwspX2nFLkREVHFwcpboDWVvby/9/ujRo1LZh5ubm2yaapKsYcOGOp+KsLW1hbOzMwDlhIz69qq7/FVPRuorOjpa+r1fv36yk89WVlZo2bKllFc1QJefo6Oj1id/1RkaGiIgIABA3olYFdWEbYsWLdC0adNCtUfl3LlzaNCgAaZPn46QkBAkJSXh5cuXWvMWdM6dnJxk09SfhlU9/ayiOq9vv/22zvOq3gEqroLKUk+Xm5zV1V7gf23O315A+bnw8vLC0KFD8eeffyIuLk5rPhVdx17XdyY/XXVWnyDQJ5+2+t6+fRuNGjXCJ598gkOHDiE+Pl56EjY/bW26desWgMJ/P1VUT5vHxMTgv//9b5609evXQwgBU1NTDBs2rEjlExGVJH3+/64I1+kpU6bA1dUVr1+/xrRp0+Do6Ii2bdviiy++wP79+3Vev8pKWdVxzZo1aNSoERYuXIjz588jIyMjz1NA6korVo6Li5MGshs1aqQz7zvvvCP9rh4Tq3N0dNS6CoiKXDxjbm6OBQsWAFAOTLdo0QK1a9fGkCFDsHLlSg7wEhG9wRYsWCDd2KpONS7yxx9/6BwTsbKykm7ayT8msmzZMhgYGOD27dvo0KEDqlevDn9/fyxduhSXL18uUn3V++yF6euru3v3rhRjTZkyRWfb1Fd4khvzAfSLvUo7jvr666/RokULrFixAuHh4Xj8+LHsahqlFbsQEVHFwclZojeU6g5HIO9kZX5eXl4QyvdLSz9ySxXnp21JWxXVUxBWVlYFlqPKo/7khPrkZkETo/kVNUiVm5jS1U51o0ePhoGBAbKzs/H7779Lf1df6rioT81mZWXBz88PycnJsLCwwOzZs3Hy5Encu3cPGRkZyMrKQlZWlvTUhfryddroenJDXf47Y1XnqKAnmQvzpHNBCrMvuadvitpeQLl0kOqp6hEjRmDfvn24ffs2UlNTpeO+cuVKKb+uY6/vZwlQTviXVL787crNzUW/fv1w584dGBkZYeLEiTh69ChiYmKQlpYmteuLL76Q8uen+o4W9vup0qFDB+lOaPWnzV+/fo3g4GAAyqeMdD01TURUVgr6/7uiXKetra1x/vx5TJkyBY6Ojnj58iVCQ0Px/fffw9fXF9WqVcPkyZPL9YnasqjjuXPn8PHHH+Ply5eoU6cOli9fjgsXLuDhw4d4/PixdD5Uq1kUdD6KSr0NBcXE6umlEc9MmDABf/31F9q2bQuFQoH79+/jt99+w/jx4+Hh4YEWLVpIq2IQEVHFEhISIo3XZGdn49q1a5g0aRIUCgWeP3+ODz74QFo9TKUo4yL5x0Tef/99nDp1Cj169ICRkRGSk5Oxa9cuTJ06Fc2bN0eDBg3yjH3oQ/0aV9RxhZIe8wH0v8aWlu3bt2Pu3Ll4/fo1GjdujLVr1yI8PBxJSUnIzMxEVlZWnnGy0opdiIio4ijfKxMRFZm3tzeMjIzw6tUrre9ALW3aJlzlaJvIVZ/wyf8Uqr77BpTLK7dt27ZQ2xeVs7MzunfvjgMHDmDdunXSk4GqiScLCwtpULawduzYgaSkJADAzp070b17d635nj59WqTy9aU6trqW7tUnvTAKsy99bgYojLt37+LgwYMAgJkzZ2L+/Pla8+nq5FVEJ0+elN638+OPP+Ljjz/Wmk/XncHW1tZIT08v9PdT3ZgxYzBjxgzs3r0bGRkZsLOzw+HDh/HgwQMAxVsCnIioLFWU6zSgfLpyyZIlWLRoESIiInD27FmcOnUKBw4cQEZGBpYtW4awsDCcOXNG7xuB3rQ6rlixAkIIWFtb4+zZs3jrrbe05ivONUwf+ky4aksv6XhGxdfXF76+vkhPT8fZs2cRFhaGI0eO4Pz587h48SK6deuG3bt3w8/Pr1T2T0RExWdubo5GjRrhhx9+QK1atTB9+nQ8efIEn376KQ4fPizls7KyQkZGBgICArS+eklfrVu3xoEDB/DkyROcO3cOZ8+exbFjx3Dq1CncvHkTgwYNQkpKCj777DO9ylO/xj158kT2Gq1KL6iMjRs3VorVln766ScAylcyhYWFab0xMCMjo6yrRURE5YhPzhK9oSwsLKSBwTt37mgsG1raXF1dAQBRUVE630vy+PFj3L9/H0Dep33r1Kkj3bkYHh5eqH2rv4/z9u3bhdq2uFQTsufPn0dERARevXqFjRs3AgA++OCDIj9lqDoGdnZ2sgO+AKQJt9Ki73m9fv16ie2zoLLU01X1Kynqnz1dE+ulfdxLWkm0S/XUa2G/n+pGjhwJExMTPH/+HFu2bAHwv5sZ3NzcdL5Xj4ioIqko12l1BgYGaNy4McaOHYvNmzcjISEBw4cPB6CMU/bt21dmdZFTWnVUnY+OHTvKDvreu3ev1CdnXVxcpNdAREZG6syr/p5Z9Zi4NNjb26Nnz56YO3cuzp07h7CwMFhbW0MIgaCgoFLdNxERlZxp06ahVatWAJTvmFVf3lg1LlJSYyKWlpbo1KkTZs+ejZCQEERFRUkrUAQFBckuv5ufep+9MH19dS4uLtLNW2U95lNaVLGLn5+f7Iotb9q4AxERFQ8nZ4neYLNmzZJ+nzhxYpk+3deuXTsAQHp6Oo4dOyabb9u2bdIkn4+Pj/R3KysreHl5AVAu71KYJ008PT2lTsLWrVsLXffi8PX1ld5Vsm7dOuzbtw+JiYkAivcU4IsXLwBoX15W5fTp07LvXC0pqqeQ09LScPLkSdl8O3bsKLF9njx5EmlpabLpO3fuBADUqlWrxCdnVccdkD/2T548wZ9//lmi+y1t+rTr3r17OHXqlGwZXbp0AaCcqD979myR6lG1alX06dMHgPL7kpKSgr179wIARo0apfO9xkREFUlFuU7rYmZmlmfiLSoqSu9t1d9zqquNxVVQHVX1KKgO+pyPTZs26SyjJNpsa2uLxo0bAwB2796tcwlCVcxqb29f4PtpS5qXl5d0PS7M54KIiMqXQqHAokWLpH8HBgZKv3fr1g0AEBYWhri4uBLfd/369REQEABAOe6TnJys13atWrWSJlZ37dolm+/q1au4deuW1jQbG5s840X6TgyXhpKKkUoidiEiosqFk7NEbzBvb29paZnIyEh0794dqampZbLvYcOGSXf7TZs2TetyNPHx8VLnoVatWujVq1ee9KlTpwJQTgSOGTNGZ5Caf7Dr888/BwAcPXoUP/74Y4H11fVe3sIwNDSUOiibNm3Czz//DABo2LAhvL29i1yum5sbAOXyeyEhIRrpmZmZ+PTTT4tcvr6GDBkCU1NTAMpj/OzZM408V65cwapVq0psny9evJA+C/mtWbMGly9fBlA6S+CqjjsA7NmzRyNdCIGJEye+ccsLFdSunJwcjB49Wud37tNPP4WZmRkA5USqrv9bdA1Gq542Dw8Px+TJk5GTkwNDQ0OMHDmyoGYQEVUYFeU6XdDEmvogZ2He6W1vbw8DA2XXMCEhoWiV+/+KU0dHR0cAQEpKis5ri+p8nD59WusNXhEREbKvKsi/L6B4bVa9OiAuLg7ffvut1jzr1q1DWFgYAOWS/6pjXVIePHigc1llIYT05BHf9U5E9Gbx9vaGr68vAOV1T/X+8PHjx8Pc3Bw5OTkYPnx4ga8LSkhIyLOiRGpqaoHjR6prtqGhIWxsbPSqb9WqVfH+++8DADZv3owzZ85o5Hn58mWByyRPnz4dgHIsZ8aMGTpX9gJK7+ajkooXVLHL4cOH89xMrXL8+HEEBwcXuXwiInrzcHKW6A23ePFi+Pv7A1A+gejm5oapU6fiyJEjiI2NxaNHj5CSkoIrV65g/fr16N69u3RXZXEGhhwcHKRBr2vXrsHb2xt79+5FcnIyEhISsHnzZnh7e0tPla5cuVJaxlilb9++0pKrW7duRZs2bbBz507cv38fjx49wu3bt7F161b0799fY4Bt/Pjx0pN9EydORJ8+fbBv3z48ePBAWko5JCQEc+fORZMmTTB06NAitzW/0aNHw8DAAGlpaThy5Ij0t+Lw9/eX7i4dNGgQNm7ciHv37iExMRE7d+6El5cXIiMj0aBBg2LXX5dq1arh66+/BgBcvHgR7dq1w6FDh5CSkoL79+/j559/RseOHaWnh0uCq6srNm7ciP79++PcuXNIT09HdHQ0Zs2aJQ10u7q6Ytq0aSW2T5UWLVpIy0F99913+Oabb3Djxg2kpaXh1KlT6N27N4KDg+Hp6Vni+y5N3bt3lzrPkyZNwvLly3Hnzh2kpKTg0KFD8PHxwdGjR3W2q0aNGli2bBkA5XJTzZs3x4oVK3Dz5k08evQIDx48wMGDBzF+/Hj069dPtpyOHTuibt26AIDffvsNANCrV68S/QwREZW2inKd7tmzJ1q2bIkFCxYgNDQUDx8+REZGBm7cuIEVK1ZgyJAhAJRLE/bu3VvvclXvtwOAX3/9FRcuXMDz58/x6tUrvHr1qsAB0ZKq47vvvgtAeePWvHnzpEnaV69e5bmhaODAgQCUT/J069YNR48eRXJyMmJiYrBs2TK0a9cOlpaWsLe3l61n8+bNpXO6cOFC3L17Fy9fvpT2p6/Ro0fjvffeA6Bc9nHs2LG4fPkyMjIycP36dcyYMQPjxo0DoIxnvvzyS73L1texY8dQq1YtBAQEYMeOHbhx4wbS09MRHx+PEydOwN/fXxocHzx4cInvn4iISte3334rrTr0zTffAFD211Q3i586dQpNmjTBypUrERUVhYyMDCQnJyM8PBzr1q1D3759UadOHdy7d08qMyIiAs7Ozvjwww+xadMmREZGIi0tDYmJiTh79izGjh0rrfrQt29fmJub613fBQsWoEqVKsjNzUWPHj3www8/IDY2FmlpaTh+/Dg6deqEU6dO6VwZy8/PDx999BEA5bhX+/btsWPHDsTFxeHx48dISEhAaGgoFi9eDG9vb2l1t5JWt25d2NnZAVC+8/769et48eJFoWMkVexy8+ZN+Pr64vTp00hNTcWNGzcwZ84c9O7dGx4eHqXSBiIiqqAEEb3xXr9+LRYtWiTs7OwEgAJ/jI2NRUBAgIiPj9coKzAwUMqnj6CgIKFQKHTua+3atbLbv3jxQowePbrAOgcGBmps+/TpUzF06FC92tyqVSuN7UeMGCEACBcXF73aqq5Hjx5S2SYmJiI1NbXQZeS3ePFi2fobGhqKFStW6KxzTEyMlD84OFh2PwXly83NFWPGjJGti4ODg7h48aJe+9JF/dyOHDlSdn9OTk4iOjpaaxk+Pj4CgPDx8dG5L135/v77b1GlShXZ/Q8ePFisX79e+ndMTIxGGS4uLgKAGDFihM566HuO9P0e6trv9u3bhZGRkWy7vvjiC732s3LlSmFiYqLz+1XQ8f/+++/z5N+7d6/O/EREJUX9/11t/1fqijPyqwjXadX/+7p+LCwsxL59+zTKLSju2bhxo2yZhbnWF6eOL168EG+//bbWbdTrnZubK/r06SNbvr29vThz5kyB1+eAgADZMtSv9wXFG8nJycLLy0tnm+vXry9u376tdXt9Y1K5fMHBwQUecwCiR48eIjs7W+c+iIiobKj/3x0SElJg/kGDBkn5jx49Kv19y5YtwtLSssBrgEKhyNOvDgkJ0eva0bJlS5GSkqJRn4JiqEOHDunsZwcFBUnXNbnra05Ojpg2bZrOMSfVT40aNTS217dfXVC+OXPmyO5X/dzpup5nZ2eL9957T7ac2rVri5s3b+o8roUdryMiooqNT84SVQIKhQLTpk1DXFwcVq1aBX9/f9StWxc2NjYwMjKCnZ0dPDw8MHDgQKxcuRIPHz7EunXrSuTJtcDAQFy6dAkBAQFwc3ODmZkZLCws4OHhgc8++wzR0dEYNWqU7PYmJib45ZdfcPbsWQQEBKBu3bqoUqUKLCwsULduXfTo0QNr1qzBxIkTNbatUqUKNm3ahPPnz2PcuHFo2LAhrK2tpSV3mjRpgoCAAGzbtg3Hjx8vdlvVqZZqBYA+ffqUyBJxU6dOxcGDB9GlSxfY2NjAxMQEzs7OGDx4ME6fPl0myyUCyieq16xZg927d6NLly6ws7ODmZkZ3N3dMWHCBISHh6N58+Ylus/g4GBs2rQJPj4+sLe3h6mpKerXr4+ZM2ciIiKiVJ9EatOmDS5cuIAhQ4agevXqMDY2xltvvYUuXbpg69at2LJlyxv5btQBAwYgNDRU+nwaGxvDyckJfn5+OHToEL777ju9yvnkk09w+/ZtzJgxA02bNs3z2WzdujXmzZuHtWvX6ixj5MiR0rt6nJyc0LNnz2K3j4iorFWE6/Thw4fx008/oX///vD09ISDgwMMDQ1ha2uLd999F7Nnz8bNmzc1XiWhj2HDhuGPP/5A165dUbVqVY0VT8qijiYmJjh58iQmT56Mt99+W3qFRn4GBgbYuXMnfvzxR/znP/+Bubk5qlSpgvr162Py5Mm4cuUKWrVqVWBdV61ahUWLFuHdd9+FjY1NkVeVqVq1KkJDQ7FhwwZ07doV1apVg7GxMRwcHNCuXTssW7YMV69elVbrKGkffPAB9u/fj2nTpqF169ZwcXGBmZkZzMzMUKdOHfj7+2P37t04cOBAoZ58IiKiimPOnDnStVn19CygXBEhNjYW//d//4d27dpJ13Bzc3O4urrC19cXixYtwt27d/P0q729vXH8+HHMnj0b7du3h5ubGywsLGBiYoKaNWuiV69e+PXXXxEWFpZnaV99devWDZGRkRgzZgxq164NExMTVKtWDT179sTBgwfzvD9XjpGRERYtWoTr169jypQpaNq0KWxtbWFoaAgrKys0bNgQgwcPRnBwcKm+U/2rr77CunXr0K5dO9jb20srbxSGubk5Tpw4gXnz5sHT0xOmpqawsrJCo0aN8NVXXyE8PBz16tUrhdoTEVFFpRCiEGtUERERAOXycapllY8ePYrOnTuXc43ePKoJz8DAQAQFBZVvZahUZWZmonr16nj27Blmz56NefPmlXeViIiIiIiIiIiIiMoFn5wlIioC1ZOCrq6u6NSpUznXhqhi++233/Ds2TMoFAqdT9ITERERERERERERVXacnCUiKqS4uDj88ccfAICPP/74jVzylqis5ObmYvny5QCA7t27w9XVtZxrRERERERERERERFR+ODlLRKQnIQRu3ryJoUOHIicnB3Z2dhg3blx5V4uowkpJScFnn30mvf/niy++KOcaEREREREREREREZUvo/KuABHRm6B9+/Y4efJknr8tXrwYNjY25VQjooorKCgI33zzTZ6/jRgxAu3atSunGhERERERERERERFVDJycJSIqBAsLC3h4eGDmzJkYMGBAeVeHqEIzNjZGnTp1MGLECEyfPr28q0NERERERERERERU7hRCCFHelSAiIiIiIiIiIiIiIiIiquz4zlkiIiIiIiIiIiIiIiIiojLAyVkiIiIiIiIiIiIiIiIiojLAyVkiIiIiIiIiIiIiIiIiojLAyVkikjVy5EgoFArUqVOnvKvyr/P06VPMmTMHzZo1g5WVFRQKBRQKBfr06VPeVSt3qmMRFBRU3lUpF7GxsdIx2LBhg0Y6v7dEVBHw/6LywxhCHmMIxhBEVPHx/6LywxhCHmMIxhBERCXNqLwrQEREeQkh0L17d4SGhpZ3VYiIiOgNwhiCiIiIioIxBBERUdni5CwRUQVz/PhxqUM0btw4TJ8+HdWqVYNCoYCREf/bJiIiIu0YQxAREVFRMIYgIiIqW1zWmIiogrl8+bL0+/z58+Hu7g4rKytYWlrCzMysHGtGb4INGzZACIHY2NjyrgoREZUxxhBUHIwhiIj+vRhDUHEwhiAiKjxOzhIRVTDZ2dnS77a2tuVXESIiInqjMIYgIiKiomAMQUREVLY4OUv0LyGEwJ49ezBw4EC4urqiSpUqsLGxgaenJwYPHoxdu3bhxYsXOst48OABJk6ciLp168LMzAz29vbo0qUL9u/fr3O76OhoLF68GF27dkXNmjVhYmICCwsL1K9fHwEBAbh48aLO7du3bw+FQoH27dsDAKKiohAQEAAXFxeYmpqiWrVq8PPzw5kzZwo8Dnfv3sWYMWPg4uICMzMzODk5wc/PDyEhIQCAkSNH5tmXnH/++QejR49G/fr1YWlpCQsLC3h4eGDChAm4e/dugfXQ1c6goCDpbwqFIs+PyoYNG6S/xcbG4vHjxwgMDESTJk1gY2MDhUKBP//8M0/5d+7cwcSJE9GwYUNYWVmhSpUqqFu3LkaPHo3w8HDZesXGxkr7Ut0NGRwcjLZt28LBwQHW1tZo2bIl1q9fDyGEtF1SUhK+/PJLvP3227CwsIC9vT169+5d4PkurN9//x0dO3ZE1apVYW5uDg8PD8yaNQuPHj2S3ebly5c4duwYJk+ejP/85z+wtbWFsbEx7O3t0apVK8ybNw8ZGRk69/vs2TMsXboU7dq1g6OjI4yNjWFnZ4f69euje/fuWLRoEe7fvy+7fXp6OubOnYtWrVrB0dERJiYmqFGjBvz8/LBnz56iHg7pM1ynTh2NtPznEgC2bt2KDh06wNHREWZmZqhXrx4+//xzpKWlFbiv0moDEVUsjCGUGEMwhgAYQzCGIKLCYAyhxBiCMQTAGIIxBBFRPoKIKr3ExETRtm1bAUDnT0hISJ7tRowYIQAIFxcX8ffffwt7e3vZbRcuXKh137dv3y5wvwYGBrLbCyGEj4+PACB8fHzEzp07hbm5udZyDA0Nxe+//y5bzv79+2W3VSgU4rvvvpPa7OPjo7WMnJwc8cknn+hsj6mpqdiyZUuB50Wunbp+VIKDg6W/HT9+XLi4uGjk3b17t5R/3bp1wtjYWLZchUIhvvnmG631iomJkfL98ssvok+fPrLlNrXAxQAAE+9JREFUjB8/XgghxOXLl4WTk5Ps8cn/WSsMVTmBgYHio48+kq2Lk5OTiI6O1lrGV199VeCxrlmzprhy5YrW7RMTE8Xbb79dYBlLly7Vuv3+/fuFra2tzm39/f3Fs2fPNLZVPx/BwcEa6erfW13brlu3TgwcOFB2/+7u7iIxMVH2PBSnDUT05mAMocQYgjGECmMIxhBEpB/GEEqMIRhDqDCGYAxBRKSOk7NElVxmZqZo2LChFKQMHDhQHDt2TDx8+FCkpqaKS5cuiR9++EG0bNlStlNka2srHBwchKenp9i+fbuIj48XycnJYteuXaJWrVoCgDAyMhI3btzQ2P/t27dF27ZtxaJFi0RISIiIjo4WaWlp4tatW2L37t2iY8eOUt2OHDmitQ2qzkLNmjWFmZmZ8Pb2FgcOHBBJSUkiISFBBAcHCxsbGwFAWFtbi/T0dI0ybty4IXWIbG1txbJly0RMTIxISUkR//3vf0X79u2FQqEQ7u7uOjtFqiDcwMBAjB07VoSGhoqUlBSRlJQk9u3bJ9577z2pg3bixIlCnavs7GyRlZUlZs2aJR2TrKysPD8q6p2iWrVqCVtbW7FkyRJx69YtkZqaKk6fPi1u3bolhBBiz549Ul5nZ2exceNG8eDBA5GYmCh2796d5/OxfPlyjXqpB9Jubm7CyMhIzJ49W0RGRoq0tDRx5swZ4eXlJeXZs2ePcHFxEe7u7mLr1q0iISFBJCYmivXr1wtLS0sBQLi6uopXr14V6vioqPbj6uoqAIh+/fqJsLAwkZqaKq5fvy5mzpwpDA0NpTzqx01l/vz5Yvjw4WLz5s3i3LlzIi4uTqSkpIgrV66IhQsXipo1a0rtff78ucb2w4cPlz4Hs2bNEhcvXhSJiYkiNTVVREZGik2bNokBAwaIFStWaGx7/PhxqX4tWrQQv//+u4iLixPp6eni8uXLYuLEiUKhUAgAYtSoUTrPR3E6Re7u7sLAwEBMnTpVhIeHi7S0NHH9+nUxZswYKc+wYcO0noPitoGI3gyMIZQYQzCGUMcYgjEEERWMMYQSYwjGEOoYQzCGICJSx8lZokpu0qRJOgNedTk5OXn+rQquAIh33nlHa3B58eJFKc+sWbOKVMcPP/xQABDt27fXmq5+J2eXLl3Ey5cvNfLs2rVLyrN69WqN9Pfff18AEMbGxuL8+fMa6Tk5OaJz585SGdo6Rfv375fSt2/frrWuL1++FG3atBEARNOmTQtouXaBgYHSfuSod4pMTEzEhQsXZOujCvCrV68uHjx4oJHn0aNH0t2XVapUEampqXnS1QNpAFrvxk1LSxNWVlZSB9nZ2VmkpKRo5Fu9enWBneCCqNdFLmhftWqVlCcoKKjQ+4iPj5fuxtywYYNGuuru7UmTJhWq3BcvXkgDCX5+fhrfOZWVK1dK9b98+XKetJLqFMm1TQghevfuLX22MjMzS7wNRPRmYAyhxBiCMURhMIZgDEFEjCFUGEMwhigMxhCMIYjo34WTs0SVWFZWlnSXZteuXQu9vXqn6NChQ7L5GjduLACIjh07Fqmeqs6GkZGRyM7O1khX7xRFRUVpLSM3N1cKYgMCAvKkJSUlSXfXjR49WrYeEREROjtFqrtrfX19dbbnxIkTUjlXr17VmVebwnaKxo0bJ5tv9+7dOjuLKocOHZLy/fDDD3nS1APpVq1ayZbRv39/Kd8vv/yiNc/jx4+lOxnnzp0rW5Yuqn2YmppqdODUNWvWTADKO3qLYsCAAQKAGDx4sEaatbW1AOSX0ZKzceNGqXP+8OFD2XyvX78Wbm5uAoCYOnVqnrSS6hR5eXnJ7v+PP/6Q8p06darE20BEFR9jCCXGEIwhioIxBGMIon8zxhBKjCEYQxQFYwjGEET072EAIqq0QkND8ezZMwBAQEBAkcsxNTVFx44dZdMbNGgAAEhMTJTN89dff2HQoEGoV68eLC0toVAopJ9evXoBAF69eoU7d+7IluHq6goPDw+taQYGBqhXr57WeoSFhSE3NxcA0KdPH9nyPT09pbbk9+zZM4SGhgIAOnXqhCdPnsj+NGzYUNru/PnzsvsrKb6+vrJpp06dAgAoFAoMGDBANl/Xrl3h4OAAADh58qRsvh49esimubu7S79369ZNax5ra2tUrVoVAPDw4UPZsvTh4+Mj1Vkbf39/AMCDBw8QExOjkf7o0SMsWrQIHTt2RPXq1WFqaprnc7ljxw4AwI0bNzS2bd68OQBgwYIF2Lt3L169eqVXnY8cOQIAaNKkCSwtLWU/Q0+fPkWTJk0AlN5nSNe5VP8e5P8+VaQ2EFHpYQyhxBiCMQRjCE2MIYhIF8YQSowhGEMwhtDEGIKI6H+MyrsCRFR6bt26Jf3erFmzIpfj6OgIY2Nj2fQqVaoAALKzszXSsrOz4e/vj4MHD+q1r0ePHsmmOTk56dxWrh7qAbFcp0o9XVsQfPfuXbx8+RIAMGXKFEyZMkVnOSopKSl65SsONzc32TRV252cnGBnZyebT6FQwNPTE6dOnUJsbKxsPl3nwNzcvFD5tH1eCkO981lQekxMDFxdXaV/nzt3Du+//z6Sk5ML3I+2z+TChQvRpk0bpKSkwM/PDzY2NmjTpg1at24NHx8feHl5wcBA8/6n6OhoAMCFCxdgZWVV4L6B0vsM6TpHqu8SoHmeKlIbiKj0MIZQYgzBGIIxhCbGEESkC2MIJcYQjCEYQ2hiDEFE9D98cpaoEsvMzJR+t7a2LnI5Rkb63cchhND42+effy51iHr37o1du3YhOjoaqampyMrKQlZWFvbv3y/l13XnX1Hr8eTJE+l3S0tLndvKpevqrOny/PnzIm1XGOoBbH5ZWVkAoFfwqsqj2kYbQ0NDveqkTz5tn5fCKMy5VG9TVlYW/Pz8kJycDAsLC8yePRsnT57EvXv3kJGRIX0uBw0aBED7Z7JFixa4cOECPvjgA5iZmeHx48fYv38/vvzyS7Ru3Rq1a9fGihUrNNpYlM9RaX2Givp9qkhtIKLSwxhCiTEEYwjGEJoYQxCRLowhlBhDMIZgDKGJMQQR0f/wyVmiSky9I5SZmYnq1auX6f6zs7MRHBwMAPjwww/x+++/a8334sWLUq2HenD89OlTnXnVO1Dq1DsVGzduxLBhw0qmcqVMn46OSmE6UBWB3LnSlq7eph07diApKQkAsHPnTnTv3l3r9gV9Vho1aoRt27bh+fPn+Oeff3Du3DmEhITg2LFjiI+Px4QJE3D37l0sXrxYox4dO3bE8ePHdTewgqoMbSCigjGGUGIMwRiCMUTJqQxtIKKCMYZQYgzBGIIxRMmpDG0gIsqPT84SVWKqd58AQHh4eJnvPzo6WrpTTXX3nzbXrl0r1XrUqVMnT510kUt3cXGR7sK8fft2idWttKmW0ElISNB5p6EQApGRkQDyHq+K7Pr163qnqy8lpPou2NnZyXaIAP0/l2ZmZmjbti0+//xz7N+/H7GxsdI7TpYtW4a0tDQpr+p9OG/SZyi/ytAGIioYYwglxhCMIRhDlJzK0AYiKhhjCCXGEIwhGEOUnMrQBiKi/Dg5S1SJtWnTRnqvhurO0bKkfidqbm6u1jy5ubn47bffSrUe3t7e0ns3/vzzT9l8UVFRWt/zAgA2Njbw8vICAGzfvh2vX78u8XqWhnbt2gFQdnp27Nghm+/o0aNS8O7j41MmdSuukydP5ulw5Ldz504AQK1atfJ0ilSfS7nPJACcPn06zzuCCqNGjRqYNGmStA/1dy5169YNAHDv3j2cOXOmSOWXt8rQBiIqGGMIJcYQjCEYQ5ScytAGIioYYwglxhCMIRhDlJzK0AYiovw4OUtUiVlaWmLMmDEAgEOHDmHlypU68+t6z0pRqAeie/bs0Zpn7ty5sh2RklKtWjX06tULALBhwwZcunRJI09ubi4mT56ss5zp06cDUN7VOmPGjALfVRIVFVW0CpegXr16oVatWgCAoKAgPHz4UCNPZmYmpk6dCkD53pg3ZamkFy9eSPXOb82aNbh8+TIAYPTo0XnS3NzcACjbHRISorFtZmYmPv30U9n9Pn36FPfu3dNZN/WOkIODg/T7kCFDUKNGDaleycnJOsvJyMiQlj6qKCpDG4ioYIwhlBhDMIZQxxiieCpDG4ioYIwhlBhDMIZQxxiieCpDG4iI8uPkLFElN3fuXDRo0AAAMH78eAwZMgQhISFISkpCeno6rly5ghUrVsDLywuhoaEluu/q1aujffv2AJTvR5k0aRIiIiKQlpaGf/75ByNHjsQ333wDT0/PEt2vNgsWLICZmRlycnLQuXNn/PTTT4iLi0NaWhpOnDiBbt264ejRo1LArI2fnx8++ugjAMDixYvRvn177NixA3FxcXj8+DESEhIQGhqKxYsXw9vbW7pbtDwZGxtLneGEhAS0atUKW7ZsQUJCApKTk7Fnzx60bt1aWkro+++/h729fXlWWW+urq7YuHEj+vfvj3PnziE9PR3R0dGYNWuW1KlxdXXFtGnT8mzn7+8vLQ01aNAgbNy4Effu3UNiYiJ27twJLy8vREZGSt+b/FJSUuDm5gZfX1/88ssvCA8PR0pKClJSUnD58mV88cUX+P777wEALVq0yLOsl7m5OTZt2gQjIyNERUWhcePGWLBgAa5cuYL09HSkpqYiIiICW7ZswZAhQ1CrVi38888/pXH4iqwytIGI9MMYQokxBGMIFcYQxVMZ2kBE+mEMocQYgjGECmOI4qkMbSAi0iCIqNKLj48XXl5eAoDOn5CQkDzbjRgxQgAQLi4uOsvXlS86OlpUrVpVdp8dOnQQBw4ckK2DEEL4+PgIAMLHx0dnPQrKt3fvXmFmZqa1HgqFQnz77bdi+PDhAoDo1KmT1jJycnLEtGnThEKhKPB41qhRQ2d95QQGBkplyAkODpbyxMTEFFjm2rVrhbGxsWxdFQqFCAoK0rptTEyMlC84OLhY9RZCCBcXFwFAjBgxosB6a6PaR2BgoBg5cqRsm5ycnER0dLTWMhYvXiy7naGhoVixYoXs51r9eOj6cXd3F7dv39a6/6NHj4pq1arpVc7hw4dl96/tfOj6Pup7LvXJV5w2ENGbgzGEEmMIxhAqjCEYQxCRfhhDKDGGYAyhwhiCMQQRkTo+OUv0L+Dk5ITTp09j27Zt6Nu3L2rWrAkTExPY2tqiYcOGGDJkCHbv3g1vb+8S33eDBg1w6dIlfPzxx6hduzaMjY3h6OiINm3a4Oeff8axY8ek99GUtt69e+PatWsYNWoUnJ2dYWJigrfeegu+vr44fPgwvvzySzx58gQAYG1trbUMIyMjLFq0CNevX8eUKVPQtGlT2NrawtDQEFZWVmjYsCEGDx6M4ODgCrGckMqoUaMQFRWFCRMmwMPDAxYWFjAzM4ObmxsCAgJw6dIlBAYGlnc1Cy04OBibNm2Cj48P7O3tYWpqivr162PmzJmIiIiQvet06tSpOHjwILp06QIbGxuYmJjA2dkZgwcPxunTp3UuJ1S7dm2cPn0a8+bNQ9euXVGvXj1YWVnB2NgYb731Fjp16oQff/wR165dg7u7u9YyOnfujDt37mD58uXo2rUrqlevDmNjY5iZmcHZ2RldunTBvHnzEBkZia5du5bIsSpplaENRFQwxhBKjCEYQ6gwhii+ytAGIioYYwglxhCMIVQYQxRfZWgDEZGKQogCXlZARPQv8s477yAiIgKfffYZli9fXt7VISIiojcEYwgiIiIqCsYQRERE/z58cpaI6P+7deuW9M6Tli1blnNtiIiI6E3BGIKIiIiKgjEEERHRvxMnZ4noXyMtLU027eXLl/j0008hhECVKlXw/vvvl2HNiIiIqCJjDEFERERFwRiCiIiItDEq7woQEZWVTz75BM+ePcPgwYPx7rvvwsHBAZmZmTh79iy+//57XLp0CQAwc+ZM2NjYlHNtiYiIqKJgDEFERERFwRiCiIiItOE7Z4noX8Pf3x+7du3SmWfUqFFYvXo1DA0Ny6hWREREVNExhiAiIqKiYAxBRERE2nByloj+NS5evIgdO3YgJCQE8fHxSEtLg0KhQPXq1dGqVSuMHj0aHTp0KO9qEhERUQXDGIKIiIiKgjEEERERacPJWSIiIiIiIiIiIiIiIiKiMmBQ3hUgIiIiIiIiIiIiIiIiIvo34OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ4OQsEREREREREREREREREVEZ+H+bF8z3QkifygAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2100x1200 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(7, 4))\n",
    "outer = mpl.gridspec.GridSpec(1,4, width_ratios=[1,1,1,0.1], wspace=0.45)\n",
    "axes = []\n",
    "\n",
    "for i in range(3):\n",
    "    inner = mpl.gridspec.GridSpecFromSubplotSpec(\n",
    "        2,1,\n",
    "        subplot_spec=outer[i],\n",
    "        wspace=0.1,\n",
    "        hspace=0.65\n",
    "    )\n",
    "    for j in range(2):\n",
    "        ax = fig.add_subplot(inner[j])\n",
    "        axes.append(ax)\n",
    "\n",
    "ax = fig.add_subplot(outer[3])\n",
    "axes.append(ax)\n",
    "\n",
    "plot_linear_corr(axes[0],traceMobilityRetail,colors)\n",
    "plot_linear_corr(axes[1],traceMobilityGrocery,colors)\n",
    "plot_linear_corr(axes[2],traceMobilityParks,colors)\n",
    "plot_linear_corr(axes[3],traceMobilityTransit,colors)\n",
    "plot_linear_corr(axes[4],traceMobilityWorkplace,colors)\n",
    "plot_linear_corr(axes[5],traceMobilityResidential,colors)\n",
    "\n",
    "# Calc p values\n",
    "\n",
    "pRetail = get_p(traceMobilityRetail)\n",
    "pGrocery = get_p(traceMobilityGrocery)\n",
    "pParks = get_p(traceMobilityParks)\n",
    "pTransit = get_p(traceMobilityTransit)\n",
    "pWorkplace = get_p(traceMobilityWorkplace)\n",
    "pResidential = get_p(traceMobilityResidential)\n",
    "\n",
    "rRetail = calc_R_squared(traceMobilityRetail)\n",
    "rGrocery = calc_R_squared(traceMobilityGrocery)\n",
    "rParks = calc_R_squared(traceMobilityParks)\n",
    "rTransit = calc_R_squared(traceMobilityTransit)\n",
    "rWorkplace = calc_R_squared(traceMobilityWorkplace)\n",
    "rResidential = calc_R_squared(traceMobilityResidential)\n",
    "\n",
    "add_p_val_R_squared(np.round(1-pRetail,2), rRetail, axes[0], smaller = False, padding=True)\n",
    "add_p_val_R_squared(np.round(1-pGrocery,2), rGrocery, axes[1], smaller = False, padding=True)\n",
    "add_p_val_R_squared(np.round(1-pParks,2), rParks, axes[2], smaller = False, padding=True)\n",
    "add_p_val_R_squared(np.round(1-pTransit,2), rTransit, axes[3], smaller = False, padding=True)\n",
    "add_p_val_R_squared(np.round(1-pWorkplace,2), rWorkplace, axes[4], smaller = False, padding=True)\n",
    "add_p_val_R_squared(np.round(1-pResidential,2), rResidential, axes[5], smaller = False, padding=True)\n",
    "\n",
    "for i in range(6):\n",
    "    axes[i].yaxis.set_major_formatter(mpl.ticker.PercentFormatter(decimals=0))\n",
    "    axes[i].xaxis.set_major_formatter(mpl.ticker.PercentFormatter(decimals=0))\n",
    "\n",
    "axes[0].set_ylabel(\"Fraction of primary cases\\nrelated to the Euro 2020\")\n",
    "axes[1].set_ylabel(\"Fraction of primary cases\\nrelated to the Euro 2020\")\n",
    "\n",
    "['retail_and_recreation_percent_change_from_baseline',\n",
    "       'grocery_and_pharmacy_percent_change_from_baseline',\n",
    "       'parks_percent_change_from_baseline',\n",
    "       'transit_stations_percent_change_from_baseline',\n",
    "       'workplaces_percent_change_from_baseline',\n",
    "       'residential_percent_change_from_baseline']\n",
    "\n",
    "axes[0].set_xlabel(\"Retail and recreation\\nchange from baseline\")\n",
    "axes[1].set_xlabel(\"Grocery and pharmacy\\nchange from baseline\")\n",
    "axes[2].set_xlabel(\"Parks\\nchange from baseline\")\n",
    "axes[3].set_xlabel(\"Transit stations\\nchange from baseline\")\n",
    "axes[4].set_xlabel(\"Workplaces\\nchange from baseline\")\n",
    "axes[5].set_xlabel(\"Residential\\nchange from baseline\")\n",
    "# Legend\n",
    "axes[6].get_xaxis().set_visible(False)\n",
    "axes[6].get_yaxis().set_visible(False)\n",
    "axes[6].axis('off')\n",
    "legend(axes[6],colors)\n",
    "\n",
    "# Axis labels\n",
    "alphabet_string = list(string.ascii_lowercase)\n",
    "for s,i in enumerate([0,2,4,1,3,5]):\n",
    "    letter = alphabet_string[s]\n",
    "    axes[i].text(\n",
    "        0,\n",
    "        1.12,\n",
    "        letter,\n",
    "        transform=axes[i].transAxes,\n",
    "        fontsize=8,\n",
    "        fontweight=\"bold\",\n",
    "        va=\"top\",\n",
    "        ha=\"right\",\n",
    "    )\n",
    "#plt.tight_layout()\n",
    "\n",
    "fig.align_ylabels([axes[0],axes[1]])\n",
    "\n",
    "plt.show()\n",
    "fig.savefig(f\"../../figures/SI/correlation/mobility.pdf\", **save_kwargs)\n",
    "fig.savefig(f\"../../figures/SI/correlation/mobility.png\", **save_kwargs)\n",
    "plt.close(fig=fig)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2100x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(7, 1.6))\n",
    "outer = mpl.gridspec.GridSpec(1,4, width_ratios=[1,1,1,0.1], wspace=0.45)\n",
    "axes = []\n",
    "\n",
    "for i in range(3):\n",
    "    inner = mpl.gridspec.GridSpecFromSubplotSpec(\n",
    "        1,1,\n",
    "        subplot_spec=outer[i],\n",
    "        wspace=0.1,\n",
    "        hspace=0.65\n",
    "    )\n",
    "    for j in range(1):\n",
    "        ax = fig.add_subplot(inner[j])\n",
    "        axes.append(ax)\n",
    "\n",
    "ax = fig.add_subplot(outer[3])\n",
    "axes.append(ax)\n",
    "\n",
    "plot_linear_corr(axes[0],traceReproPreEURO2020,colors)\n",
    "plot_linear_corr(axes[1],traceIncidencePreEURO2020,colors)\n",
    "plot_linear_corr(axes[2],traceNGamesInci,colors)\n",
    "\n",
    "# Calc p values\n",
    "\n",
    "pRepro = get_p(traceReproPreEURO2020)\n",
    "pInci = get_p(traceIncidencePreEURO2020)\n",
    "pNgames = get_p(traceNGamesInci)\n",
    "\n",
    "rRepro = calc_R_squared(traceReproPreEURO2020)\n",
    "rInci = calc_R_squared(traceIncidencePreEURO2020)\n",
    "rNgames = calc_R_squared(traceNGamesInci)\n",
    "\n",
    "add_p_val_R_squared(np.round(pRepro,2), rRepro, axes[0], smaller = True, padding=True)\n",
    "add_p_val_R_squared(np.round(pInci,2), rInci, axes[1], smaller = True, padding=True)\n",
    "add_p_val_R_squared(np.round(pNgames,2),rNgames, axes[2], smaller = True, padding=True)\n",
    "\n",
    "for i in range(3):\n",
    "    axes[i].yaxis.set_major_formatter(k_formatter)\n",
    "    axes[i].set_ylim(-6000,16000)\n",
    "    \n",
    "#axes[1].xaxis.set_major_formatter(k_formatter)\n",
    "axes[0].set_ylabel(\"Primary and subsequent cases\\nper mil. inhabitants\")\n",
    "\n",
    "axes[0].set_xlabel(\"Reproduction number two\\nweeks prior to the Euro 2020\")\n",
    "axes[1].set_xlabel(\"Total cases two weeks\\nprior to the Euro 2020\\nper mil. inhibitants\")\n",
    "axes[2].set_xlabel(\"Union of matches played\\nand hosted\")\n",
    "\n",
    "#axes[1].set_xlim(2,4000)\n",
    "axes[1].set_xticks([500,1000,1500,2000,2500,3000])\n",
    "axes[1].set_xticklabels([\"0.5k\",\"1k\",\"1.5k\",\"2k\",\"2.5k\",\"3k\"])\n",
    "axes[2].set_xticks([3,6,9])\n",
    "\n",
    "# Legend\n",
    "axes[3].get_xaxis().set_visible(False)\n",
    "axes[3].get_yaxis().set_visible(False)\n",
    "axes[3].axis('off')\n",
    "legend(axes[3],colors)\n",
    "\n",
    "# Axis labels\n",
    "alphabet_string = list(string.ascii_lowercase)\n",
    "for s,i in enumerate([0,1,2]):\n",
    "    letter = alphabet_string[s]\n",
    "    axes[i].text(\n",
    "        0,\n",
    "        1.1,\n",
    "        letter,\n",
    "        transform=axes[i].transAxes,\n",
    "        fontsize=8,\n",
    "        fontweight=\"bold\",\n",
    "        va=\"top\",\n",
    "        ha=\"right\",\n",
    "    )\n",
    "#plt.tight_layout()\n",
    "\n",
    "fig.align_ylabels([axes[0],axes[1]])\n",
    "\n",
    "plt.show()\n",
    "fig.savefig(f\"../../figures/SI/correlation/other.pdf\", **save_kwargs)\n",
    "fig.savefig(f\"../../figures/SI/correlation/other.png\", **save_kwargs)\n",
    "plt.close(fig=fig)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quickly get the slope of a model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "potential_model, potential_trace = load(\"/data.nst/smohr/covid19_soccer_data/correlations/potential_no_GB.pkl\")\n",
    "covid19_soccer.plot.distribution(potential_model,potential_trace,\"beta\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "potential_model, potential_trace = load(\"/data.nst/smohr/covid19_soccer_data/correlations/potential.pkl\")\n",
    "covid19_soccer.plot.distribution(potential_model,potential_trace,\"beta\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: Wed Nov 30 2022\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.8.10\n",
      "IPython version      : 7.24.1\n",
      "\n",
      "pandas           : 1.2.4\n",
      "matplotlib       : 3.5.1\n",
      "sys              : 3.8.10 | packaged by conda-forge | (default, May 11 2021, 07:01:05) \n",
      "[GCC 9.3.0]\n",
      "arviz            : 0.11.4\n",
      "covid19_inference: 0.3.6\n",
      "pymc3            : 3.11.2\n",
      "numpy            : 1.20.3\n",
      "\n",
      "Watermark: 2.3.1\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "0fd5df21f5c79ee35aa43f2be12455e31376a68a747783be21f47f9e875fad37"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}