nexrad_imagery_RODN_TY09_one.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This notebook will display any NEXRAD site Reflectivity file from the Level II data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n",
      "## library for working with weather radar data. Py-ART is partly\n",
      "## supported by the U.S. Department of Energy as part of the Atmospheric\n",
      "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n",
      "## Science user facility.\n",
      "##\n",
      "## If you use this software to prepare a publication, please cite:\n",
      "##\n",
      "##     JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/satdat/python/satx/lib/python3.6/site-packages/pyart/graph/cm.py:104: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'red' in spec:\n",
      "/satdat/python/satx/lib/python3.6/site-packages/pyart/graph/cm_colorblind.py:32: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'red' in spec:\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pyart\n",
    "\n",
    "import os\n",
    "import cartopy.crs as ccrs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "dadash='-------------------------------------'\n",
    "print(dadash+dadash)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_of_lats = np.arange(0.0,90.0,1.0)\n",
    "#\n",
    "list_of_lons =np.arange(-179.0,181.0,1.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'RODN'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ALL_call_signs= \\\n",
    "[\"PGUA\",\"RKSG\",\"RKJK\",\"RODN\",\"KABR\",\"KENX\",\"KABX\",\"KFDR\",\"KAMA\",\"PAHG\", \\\n",
    "\"KEWX\",\"KBBX\",\"PABC\",\"KBLX\",\"KBGM\",\"KBMX\",\"KBIS\",\"KCBX\",\"KBOX\",\"KBRO\", \\\n",
    "\"KBUF\",\"KCXX\",\"KFDX\",\"KICX\",\"KCLX\",\"KRLX\",\"KCYS\",\"KLOT\",\"KILN\",\"KCLE\", \\\n",
    "\"KCAE\",\"KGWX\",\"KCRP\",\"KFWS\",\"KDVN\",\"KFTG\",\"KDMX\",\"KDTX\",\"KDDC\",\"KDOX\", \\\n",
    "\"KDLH\",\"KDYX\",\"KEYX\",\"KEVX\",\"KEPZ\",\"KLRX\",\"KBHX\",\"PAPD\",\"KFSX\",\"KHPX\", \\\n",
    "\"KGRK\",\"KPOE\",\"KEOX\",\"KSRX\",\"KIWX\",\"KAPX\",\"KGGW\",\"KGLD\",\"KMVX\",\"KGJX\", \\\n",
    "\"KGRR\",\"KTFX\",\"KGRB\",\"KGSP\",\"KRMX\",\"KUEX\",\"KHDX\",\"KCBW\",\"KHGX\",\"KHTX\", \\\n",
    "\"KIND\",\"KJKL\",\"KJAN\",\"KJAX\",\"PHKN\",\"KEAX\",\"KBYX\",\"PAKC\",\"KMRX\",\"KARX\", \\\n",
    "\"LPLA\",\"KLCH\",\"KESX\",\"KDFX\",\"KILX\",\"KLZK\",\"KVTX\",\"KLVX\",\"KLBB\",\"KMQT\", \\\n",
    "\"KMXX\",\"KMAX\",\"KMLB\",\"KNQA\",\"KAMX\",\"PAIH\",\"KMAF\",\"KMKX\",\"KMPX\",\"KMBX\", \\\n",
    "\"KMSX\",\"KMOB\",\"PHMO\",\"KVAX\",\"KMHX\",\"KOHX\",\"KLIX\",\"KOKX\",\"PAEC\",\"KAKQ\", \\\n",
    "\"KLNX\",\"KTLX\",\"KOAX\",\"KPAH\",\"KPDT\",\"KDIX\",\"KIWA\",\"KPBZ\",\"KSFX\",\"KGYX\", \\\n",
    "\"KRTX\",\"KPUX\",\"KRAX\",\"KUDX\",\"KRGX\",\"KRIW\",\"KFCX\",\"KJGX\",\"KDAX\",\"KLSX\", \\\n",
    "\"KMTX\",\"KSJT\",\"KNKX\",\"KMUX\",\"KHNX\",\"TJUA\",\"KSOX\",\"KATX\",\"KSHV\",\"KFSD\", \\\n",
    "\"PACG\",\"PHKI\",\"PHWA\",\"KOTX\",\"KSGF\",\"KCCX\",\"KLWX\",\"KTLH\",\"KTBW\",\"KTWX\", \\\n",
    "\"KEMX\",\"KINX\",\"KVNX\",\"KVBX\",\"KICT\",\"KLTX\",\"KFFC\",\"KYUX\",\"KLGX\",\"PHMO\"]\n",
    "#\n",
    "CALL_SIGN=ALL_call_signs[3]\n",
    "CALL_SIGN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Kadena_Okinawa'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_call_signs={\"KABR\":\"Aberdeen_SD\", \"KABX\":\"Albuquerque_NM\", \"KAKQ\":\"Norfolk-VA\", \\\n",
    "\"KAMA\":\"Amarillo_TX\", \"KBBX\":\"Beale-AFB_CA\", \\\n",
    "\"KAMX\":\"Miami-FL\", \"KAPX\":\"Gaylord_MI\", \"KARX\":\"La-Crosse_WI\", \"KATX\":\"Seattle-Tacoma_WA\", \\\n",
    "\"KBGM\":\"Binghamton_NY\", \"KBHX\":\"Eureka_CA\", \"KBIS\":\"Bismarck_ND\", \"KBLX\":\"Billings_MT\", \\\n",
    "\"KBMX\":\"Birmingham_AL\", \"KCAE\":\"Columbia_SC\", \\\n",
    "\"KBOX\":\"Boston-MA\", \"KBRO\":\"Brownsville-TX\", \"KBUF\":\"Buffalo_NY\", \"KBYX\":\"Key-West-FL\", \\\n",
    "\"KCBW\":\"Houlton-Maine\", \"KCBX\":\"Boise_ID\", \"KCCX\":\"State-College_PA\", \"KCLE\":\"Cleveland_OH\", \\\n",
    "\"KCLX\":\"Charleston-SC\", \"KDDC\":\"Dodge-City_KS\", \\\n",
    "\"KCRP\":\"Corpus-Christi-TX\", \"KCXX\":\"Burlington_VT\", \"KCYS\":\"Cheyenne_WY\", \"KDAX\":\"Sacramento_CA\", \\\n",
    "\"KDFX\":\"Laughlin-AFB_TX\", \"KDIX\":\"Philadelphia-PA\", \"KDLH\":\"Duluth_MN\", \"KDMX\":\"Des-Moines_IA\", \\\n",
    "\"KDOX\":\"Dover-AFB-DE\", \"KEMX\":\"Tucson_AZ\", \\\n",
    "\"KDTX\":\"Detroit_MI\", \"KDVN\":\"Davenport_IA\", \"KDYX\":\"Dyess-AFB_TX\", \"KEAX\":\"Kansas-City_MO\", \\\n",
    "\"KENX\":\"Albany_NY\", \"KEOX\":\"Fort-Rucker_AL\", \"KEPZ\":\"El-Paso_TX\", \"KESX\":\"Las-Vegas_NV\", \\\n",
    "\"KEVX\":\"Eglin-AFB-FL\", \"KFDX\":\"Cannon-AFB_NM\", \\\n",
    "\"KEWX\":\"Austin-San-Antonio_TX\", \"KEYX\":\"Edwards-AFB_CA\", \"KFCX\":\"Roanoke_VA\", \"KFDR\":\"Altus-AFB_OK\", \\\n",
    "\"KFFC\":\"Atlanta_GA\", \"KFSD\":\"Sioux-Falls_SD\", \"KFSX\":\"Flagstaff_AZ\",\"KFTG\":\"Denver_CO\", \\\n",
    "\"KFWS\":\"Dallas-Ft.Worth_TX\", \"KGRK\":\"Fort-Hood_TX\", \\\n",
    "\"KGGW\":\"Glasgow_MT\", \"KGJX\":\"Grand-Junction_Co\", \"KGLD\":\"Goodland_KS\", \"KGRB\":\"Green-Bay_WI\", \\\n",
    "\"KGRR\":\"Grand-Rapids_MI\", \"KGSP\":\"Greer_SC\", \"KGWX\":\"Columbus-AFB,_ MS\", \"KGYX\":\"Portland-Maine\", \\\n",
    "\"KHDX\":\"Holloman-AFB_NM\", \"KHTX\":\"Huntsville_AL\",  \\\n",
    "\"KHGX\":\"Houston-Galveston-TX\", \"KHNX\":\"San-Joaquin-Valley_CA\", \"KHPX\":\"Fort-Campbell_KY\", \\\n",
    "\"KICT\":\"Wichita_KS\", \"KICX\":\"Cedar-City_UT\", \"KILN\":\"Cincinnati_OH\", \"KILX\":\"Lincoln_IL\", \\\n",
    "\"KIND\":\"Indianapolis_IN\", \"KJAX\":\"Jacksonville-FL\", \\\n",
    "\"KINX\":\"Tulsa_OK\", \"KIWA\":\"Phoenix_AZ\", \"KIWX\":\"Fort-Wayne_IN\", \"KJAN\":\"Jackson_MS\", \\\n",
    "\"KJGX\":\"Robins-AFB_GA\", \"KJKL\":\"Jackson_KY\", \"KLBB\":\"Lubbock_TX\", \"KLCH\":\"Lake-Charles-LA\", \\\n",
    "\"KLIX\":\"New-Orleans-LA\", \"KLTX\":\"Wilmington-NC\", \\\n",
    "\"KLNX\":\"North-Platte_NE\", \"KLOT\":\"Chicago_IL\", \"KLRX\":\"Elko_NV\", \"KLSX\":\"Saint-Louis_ MO\", \\\n",
    "\"KLVX\":\"Louisville_KY\", \"KLWX\":\"Sterling-VA\", \"KLZK\":\"Little-Rock_AR\", \"KMAF\":\"Midland-Odessa_TX\", \\\n",
    "\"KMAX\":\"Medford_OR\", \"KMOB\":\"Mobile-AL\", \\\n",
    "\"KMBX\":\"Minot-AFB_ND\", \"KMHX\":\"Morehead-City-NC\", \"KMKX\":\"Milwaukee_WI\", \"KMLB\":\"Melbourne-FL\", \\\n",
    "\"KMPX\":\"Minneapolis-St.Paul_MN\", \"KMQT\":\"Marquette_MI\", \"KMRX\":\"Knoxville-Tri-Cities_TN\", \\\n",
    "\"KMSX\":\"Missoula_MT\", \"KNKX\":\"San-Diego-CA\", \\\n",
    "\"KMTX\":\"Salt-Lake-City_UT\", \"KMUX\":\"San-Francisco_CA\", \"KMVX\":\"Grand-Forks_ND\", \"KMXX\":\"Maxwell-AFB_AL\", \\\n",
    "\"KNQA\":\"Memphis_TN\", \"KOAX\":\"Omaha_NE\", \"KOHX\":\"Nashville_TN\", \"KOKX\":\"New-York-City-NY\", \\\n",
    "\"KOTX\":\"Spokane_WA\", \"KPAH\":\"Paducah_KY\", \\\n",
    "\"KPBZ\":\"Pittsburgh_PA\", \"KPDT\":\"Pendleton_OR\", \"KPOE\":\"Fort-Polk_LA\", \"KPUX\":\"Pueblo_CO\", \\\n",
    "\"KRAX\":\"Raleigh-Durham_NC\", \"KRGX\":\"Reno-NV\", \"KSFX\":\"Pocatello-Idaho-Falls_ID\", \\\n",
    "\"KRIW\":\"Riverton_WY\", \"KRLX\":\"Charleston_WV\", \"KRMX\":\"Griffiss-AFB_NY\", \"KRTX\":\"Portland_OR\", \\\n",
    "\"KSGF\":\"Springfield_MO\", \"KSHV\":\"Shreveport_LA\", \"KSJT\":\"San-Angelo_TX\", \\\n",
    "\"KSOX\":\"Santa-Ana_Mountains_CA\", \"KTLX\":\"Oklahoma-City_OK\", \\\n",
    "\"KSRX\":\"Fort-Smith_AR\", \"KTBW\":\"Tampa-FL\", \"KTFX\":\"Great-Falls_MT\", \"KTLH\":\"Tallahassee-FL\", \\\n",
    "\"KTWX\":\"Topeka_KS\", \"KUDX\":\"Rapid-City_SD\", \"KUEX\":\"Hastings_NE\", \"KVAX\":\"Moody-AFB_GA\", \\\n",
    "\"KVBX\":\"Vandenberg-AFB_CA\", \"PABC\":\"Bethel_AK\", \\\n",
    "\"KVNX\":\"Vance-AFB_OK\", \"KVTX\":\"Los_Angeles_CA\", \"KYUX\":\"Yuma_AZ\", \"LPLA\":\"Lajes-AB_Azores\", \\\n",
    "\"PACG\":\"Sitka_AK\", \"PAEC\":\"Nome_AK\", \"PAHG\":\"Anchorage_AK\", \"PAIH\":\"Middleton-Island_AK\",\n",
    "\"PAKC\":\"King-Salmon_AK\", \"PHKM\":'Kamuela-Kohala-HI', \\\n",
    "\"PAPD\":\"Fairbanks_AK\", \"PGUA\":\"Anderson-AFB-Guam\", \"PHKI\":\"South-Kauai-HI\", \\\n",
    "\"PHKN\":\"Kamuela_HI\", \"PHMO\":\"Molokai-HI\", \"PHWA\":\"South-Shore-HI\", \"RKJK\":\"Kunsan-AB-Korea\", \\\n",
    "\"RKSG\":\"Camp-Humphreys-Korea\", \"RODN\":\"Kadena_Okinawa\", \"TJUA\":\"San-Juan-Puerto-Rico\", \\\n",
    "\"KLGX\":\"Langley-Hill_WA\", \"PHMO\":'Molokai HI'}\n",
    "\n",
    "PlaceName = dict_call_signs[CALL_SIGN]\n",
    "PlaceName\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n",
    "\n",
    "#CALL_SIGN=\"PHMO\"\n",
    "data_dir='/u/curr/etc/dynamic/obs_data/met/cqc/radar/'+CALL_SIGN\n",
    "\n",
    "data_dir='/satdat/curr/m4b/radar/nexrad/'+CALL_SIGN+'/'\n",
    "#/satdat/m4b/NEXRAD/RODN\n",
    "data_dir='/satdat/m4b/NEXRAD/'+CALL_SIGN+'/'\n",
    "\n",
    "\n",
    "list_of_files= []\n",
    "list_of_files=os.listdir(data_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Next \n",
    "list_of_files.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "derivedatafrom =list_of_files[30]\n",
    "#derivedatafrom =list_of_files[15]\n",
    "\n",
    "#derivedatafrom ='20161223135600.compress.raw'\n",
    "#\n",
    "#\n",
    "filename = data_dir+derivedatafrom\n",
    "#filename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SUCCESS: Read in Level II RADAR  datafile: /satdat/m4b/NEXRAD/RODN/20210720162611.compress.raw\n"
     ]
    }
   ],
   "source": [
    "read_radar_ok = 1\n",
    "\n",
    "#\n",
    "\n",
    "try:\n",
    "    radar = pyart.io.read(filename)\n",
    "except:\n",
    "    read_radar_ok = 0\n",
    "    print(\"WARNING: Error reading LevelII  datafile: \"+filename)\n",
    "    #=================================================================#\n",
    "\n",
    "if (read_radar_ok  == 1):\n",
    "    print(\"SUCCESS: Read in Level II RADAR  datafile: \"+filename)\n",
    "    #\n",
    "    #====================================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "SITE_latitude = radar.latitude['data'][0]\n",
    "\n",
    "SITE_longitude  = radar.longitude['data'][0]\n",
    "\n",
    "minlon = SITE_longitude - 4.5\n",
    "maxlon = SITE_longitude + 4.5\n",
    "#\n",
    "minlat = SITE_latitude - 3.5\n",
    "maxlat = SITE_latitude + 3.5\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of lats for grid plotting:\n",
      "[23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0]\n"
     ]
    }
   ],
   "source": [
    "local_lats=[]\n",
    "local_lons=[]\n",
    "\n",
    "for item in list_of_lats:\n",
    "    #\n",
    "    if (item > minlat ) & (item < maxlat):\n",
    "        local_lats.append(item)\n",
    "        #---------------------------------\n",
    "        # END OF IF LOOP\n",
    "        #---------------------------------\n",
    "    #---------------------------------\n",
    "    # END OF FOR LOOP\n",
    "    #---------------------------------\n",
    "\n",
    "print('List of lats for grid plotting:')\n",
    "print(local_lats)\n",
    "\n",
    "for item in list_of_lons:\n",
    "    #\n",
    "    if (item > minlon ) & (item < maxlon):\n",
    "        local_lons.append(item)\n",
    "        #---------------------------------\n",
    "        # END OF IF LOOP\n",
    "        #---------------------------------\n",
    "    #---------------------------------\n",
    "    # END OF FOR LOOP\n",
    "    #---------------------------------\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of lons for grid plotting:\n",
      "[124.0, 125.0, 126.0, 127.0, 128.0, 129.0, 130.0, 131.0, 132.0]\n"
     ]
    }
   ],
   "source": [
    "print('List of lons for grid plotting:')\n",
    "print(local_lons)\n",
    "\n",
    "CallSign =CALL_SIGN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "#PlaceName = 'Molokai HI'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The year-month-day     is: d20210720\n",
      "The hour-minute-second is: s162611\n",
      "The year-month-day -2-     is: 2021-07-20\n",
      "The hour-minute-second -2- is: 16:26:11\n",
      "Formatted Date-time String:\n",
      "2021-07-20---16:26:11 UTC\n"
     ]
    }
   ],
   "source": [
    "yymmdd='d'+derivedatafrom[0:8]\n",
    "hhmmss='s'+derivedatafrom[8:14]\n",
    "#\n",
    "print('The year-month-day     is: '+yymmdd)\n",
    "print('The hour-minute-second is: '+hhmmss)\n",
    "#\n",
    "#\n",
    "#yyyy_mm_dd = derivedatafrom[0:4]+'_'+derivedatafrom[4:2]+'_'+derivedatafrom[6:2]\n",
    "yyyy_mm_dd = derivedatafrom[0:4]+'-'+derivedatafrom[4:6]+'-'+derivedatafrom[6:8]\n",
    "#\n",
    "#hh_MM_sec  = derivedatafrom[8:2]+':'+derivedatafrom[10:2]+':'+derivedatafrom[12:2]\n",
    "hh_MM_sec  = derivedatafrom[8:10]+':'+derivedatafrom[10:12]+':'+derivedatafrom[12:14]\n",
    "#\n",
    "print('The year-month-day -2-     is: '+yyyy_mm_dd)\n",
    "#\n",
    "print('The hour-minute-second -2- is: '+hh_MM_sec)\n",
    "#\n",
    "ymdhms_formatted = yyyy_mm_dd+'---'+hh_MM_sec+' UTC'\n",
    "#\n",
    "print('Formatted Date-time String:')\n",
    "\n",
    "print(ymdhms_formatted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "display = pyart.graph.RadarMapDisplay(radar)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "#GIS_shapefile = '/satdat/m4b/NEXRAD/python/shape/cb_2015_us_state_500k.shp'\n",
    "GIS_shapefile = '/satdat/m4b/NEXRAD/python/shape/TM_WORLD_BORDERS-0.3.shp'\n",
    "\n",
    "# a4au-l4:/satdat/m4b/NEXRAD/python/shape > ls -al\n",
    "#-rw-r--r--. 1 satops SATOPS 16784712 Nov 18  2016 cb_2015_us_county_500k.shp\n",
    "#-rw-r--r--. 1 satops SATOPS  4698660 Nov 19  2016 cb_2015_us_state_500k.shp\n",
    "#-rw-rw-r--. 1 satops SATOPS  6478464 Jul 30  2008 TM_WORLD_BORDERS-0.3.shp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "projection = ccrs.LambertConformal(central_latitude=radar.latitude['data'][0], \\\n",
    "    central_longitude=radar.longitude['data'][0])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1pPZGy9sR2KyqWyrZNtSCqXzErknuHCzMnluMwyYinN+X3Was4L/qiBnSuUE7YIWWDeKxDFsNBbGCFOodUsS+drAG+4CD6BT2fAdl3TC3iVHW50BLseDg52DEP4jxGJffUS24xNNEdr+8AnMq1SJkYmqsqm6jObndRA1NtwJ4OWwyzFbV+1yUEyvvCqB5lAAybtr5GnCOiOyPebiM5nMoUlkTMTfRuwMnULmJItZ/tYLo7onD27Ea6Oj4TQqiE7YPE6vtKfzJkSL2tYM3gWtEpIOINMN8xIdiBnC2iKSLyCCcQBKRoKolWACHBzH5/+chjxthXG6hiOyLcf6RyliDxe98SEQai4hHRLpLSIi9CrAOqKz++SvAiY6vH6+IZDmqkW7880fN6/RlEvCkiDRzxvCQkHbmikiTGGV/jK0c7gTe0Ohh7sr12RGJvI0R7p9VdbmLvgQR6796FThCRM4SkTQRyXUm90jtmALsBEY5fR+CudWodc2fFGoXKWKfWHwQpmf/rnP/WSwc3UzMlfCEsHy3YpzcFuAOynLrkTAe01h5S8uqNP4VuFMs/ONt2CQTDRdiG3q/OfW+jTuRCsCjwBkiskVEXOmMq+oKIBhvdwPGvY7ExTvpIu8F2IbyfGyT9Don33yMc1/siH/aRSi7CPs/jiD2uD8P9HXKmRhyfxy20epahOMg6n/lTBrHATdi/vJnsCvoR5l2qGoxRtyPxbS9ngQudPqeQj1GyjdOEkBEumDqjOlasf55CkkMsVCK87EAJeUiUaWQQm0hxdmnkEKc4MjJb8CiLaUIfQpJhZQFbQopxAFisYrXYZovx9Ryc1JIoRxSYpwUUkghhXqAlBgnhRRSSKEeIOnFOF26dNFly6pjc5RCCin8GaGqkWxGXGMPEc1zmXYJfKqqdVo8l/TEftmyZaRETXUAmzZB8+YgAo8+Cv/+N6wM8SacnQ1btkB6OkyYAMuWQYcO0K4dtGoFLVtC00h2UC6hCtu2wcaNsG4drFlj9Q8ebMfcubDPPlAQEsGxfXt44gk4+WTYudOOFpEMjBODWybO5pclW5h07cF4PNWiW/UOItUfrzzgXy7TnhPZ8rxOIemJfQpJipUr4auv4Ouv4dtv4fffYfFi6NoVWreGQw+FAQOgf3/o2xc6dgSPIzU87bT4t0fEJoumTWG33co/79cP8vOt3b/9BrNnw6xZ1i6ATz6B00+HHj3g4IOt/UOH7nqeANxx0u58s3ADO4p9NMpKT1g9KaQAdWCDVkQ02dtYL1BYCD4f5OTAe+/BKafY/WbN4KCD4MADYfhwI/R1EYsWwTvvwPffw3ffwebNdn/BAujZ01YLjRtDgwa1284UAOPsqyvG6S6ibj0Q/gWmqeqg6tRX20hx9ilEx9at8P77MHEifPop/OtfcO21RtgfeggOO8y4d8+fYJ+/e3cYNcrOAwHj/H/4wTh9gJEj4e234eijbaI76SSb6FKo06hPwrMUsU+hPHw+E7V88gmUlJhse9gw2H9/e96iBdxwQ+22MZHweGCPPewI4uKLjbN/7z2b/NLT4cIL4TlX4WtTSFLUJ2L/J2DJUqg2VGHyZHj4YbtOS4MmTeCaa+Cnn2DFCnjySdh331ptZq1iyBB4/HFYvhx+/hmuu87EOwB+P1x9NXz5pa0KUqgzEJeHq7JEmorI2yIyX0Tmicj+ItJcRD4XkYXOb60tB1My+/qMDRvghRfg2WdNZp2ba8SsYcOK86awC/Pm2apn2zbo1g0uu8xWAq1alUn26/It/LpsC5ceXFkHoSmEI14y+wdcpj3DhcxeRMYB36rqcyKSgbkpH415M71PRG4Cmqnq36vT7qoixdnXV0yYYKqPN91k6o8vv2wcfIrQVx59+piq56uvmvbOzTfb76+/lkm2YG0eKb4leeCWq3czozhusw/BvJDiRAnbinlnHeckGwecEscuVAopzr6+QBUmTTLxzIEHwurVtuF65ZWmlphC/DBvnhH+O+4ArxdeegmaN8d/7HF4PBIXHfH6jnhw9ruJ6L9dpj3VfB5tDLk1RlXHhLRnT2AM5iJ8D2AacC2wSlWbOmkE2BK8rmmkiP2fHX6/qRT+618wcyaccQa89VZtt6r+QBUGDTIuv39/GD0azjzTJoEUqox4EfuHXKY9pQIxjhNk6CfgQFWdIiKPAtuBv4USdxHZoqq1IrdPiXH+zPjwQ1ON/MtfTE/+xReN40yh5iBim9wvvWRaTuecA7vvbpu5KdQ64rhBuxJYqapTnOu3gb2AdSLSFsD5XR+/1lcOKWL/Z4PqLo2QRYvs+vXXzV3A8OGQkVGrzauXSE+HCy6AOXPgzTeNq8/KsmeFhaQE+XUfqroWWCEivZxbh2MinfeBYc69YcB7tdA8ICXG+XNh+nS48UY4/3zTBikpMZ3xlMgguRAI7DJEu+IKmD/fjNT23rt221WHEA8xTg8R/Y/LtCe508bZE3gOC++5GLgIY6jfxIK+LwPOUtXNVW911ZHi7P8MWLcOLrnEiMXs2cZJgv2mCH3yIdTieOBA89UzaBBcdBGsXVt77aqH8Lg83EBVZ6jqIFUdoKqnqOoWVd2kqoerag9VPaK2CD2kiH3dxyuvmHHPyy+bVevChSYySKFu4PLL7T8bNcr2U3r2tL2WFGoE8TSqSnakiH1dR9Om5sJ39mxzK1wdN8Ep1A6aNIH777d9lSOOMK0dME2qFBKK+kTsUzL7uoadO+G228xPy2232T1V0/pI4c8DVTj+eOjdG+6+O2XsFoZ4yewfc5n2uD+B18sUZ1+X8MMPsOeetpm3McS+I0Xo/3woKYEuXcxf0YAB5nY5hbginha0dQEpYl8XUFxsbg0OPtiIwP/+B4+55UlSqJPIyDDnc199Zdo7hxxibpaLimq7ZX8qpIh9CsmFefOMm7/4YouudNhhtd2iFGoKQ4bYfz5ihNlL7NxZ2y36UyFF7FNIDvz8s/3usYcR/GefhUaNardNKdQ8cnLg6aeN6DdrZqu7d99NGWPFASliHwIR6SgiX4nIbyIyV0Sude7vISI/ishsEflARBqH5HlQRKaKyKHOdRcRURH5W0iax0VkeAL6VPdRUGB68/vtZ37mIXJc1RTqF4KRsV54wYLLXHRRitNPwTXccPY+4EZV7QsMBq4Skb6YpdhNqtofeBcYCSAivZ18hwBXhZSzHrjW8fOcQjQsWWJeKV94AW65xeT0KaQQiksvhX/+0/zt7L+/ucVIoUpIcfYhUNU1qvqrc54HzAPaAz2Bb5xknwOnO+deIAAoZcdpA/A/dvmJSCEcX35plpRLlphhzV13pSxgUygPrxduvx0++shiEAwaZBu5KVQKgimyuTmSASLiEZGBInK8iBwmIq0qzrULlYpBKyJdgIHAFGAu5ph/InAm0BFAVeeKSEPgOxxuPwT3A5NE5IUK6hkBjKhM26oKVWXVqlX4fD68Xi9er5e0tLTS89Brj8eD1+tNnD/ypUuhTRuLc5oS26RQEY49FqZOhXPPTWjwc1XF7/dHPXw+X7nz0N+SkhIGDBhAgwYNEtbGKkFA0l2mLU5oS2JCRLoDfweOABZijHMW0FNEdgLPAONUNWZMTNdGVSKSA3wN3KOqExxxzWNALubZ7RpVzY2StwvwoaruLiIvYSuB/YCpqjq2gnoTalSVl5fHrFmzaN++fbkXN9K1P4pVY3AiCJ0Uwq89Hg8iQnp6+q57qmQsWEBgwAC7LinB06BBafrwIxX4on5CVQkEAuUOv99PwO8n4BDk9Pffp+Coo/CL7Hoe4beoqAhVLS03+G4HosTQjcT8hB/B++G/69atIz09na5du8ZtPOJhVNXLI/p0pru0hxXWnlGViLwGPIWFPNSwZ62Ac7GgKOMi5Q/CFWcvIunAO8CrqjoBQFXnA0c5z3sCx7ts+78wX89fu0yfUPh8PrKzs+nSpUuVywj9EMMnhvAPbNGiRXTr1g2fz0fx1q20vv56sn/4gYXvv09R69alaSN+1C6CWYtI6cRQUlJCVlZWmXvBcxGJeR7pOtoRrDfSvdBnZe5t3Yp3yRI8S5fiWbkS75o1yPr1yMaNeLZsQbZtgx07kMJCKC5GfD4b67Q0yMhAs7IgOxtt3JhAs2ZoixZoq1b427Uj0L49gS5d8HfrhjruI4KELXge/ht6RLoX7QgEAlGvg+ehv7HuBVeX0Sb00JVlODPg9XrJnjWL7pdeStqhh7L20UeRnBy8Xi8ZGRllGA6v18uKFSto1KgRbdq0KcOUJIKhyMvLo6CgIK5lxgUCUgekpKp6Toxn64FH3JRTIbF3Qmk9D8xT3eURVERaqep6EfEAtwBPu6lQVeeLyG/AicAvbvIkEn6/H2815eLBj8/r9ZKeHn1dWFBQwNq1a21i2bwZzjsPpkyBxx6j15FHVqsNQQSX3KrKt99+y5577hmVyMQiUJGOYLnBekKP5cuX06FDhzLPANTvJ3PxYrLmzKHBvHlk/v47WYsWkbZlS5l2+7OzKWnRAl+zZvhycwl07oy/YUMCWVloWhrNP/4YAgE2n3ACRXl5NAS8BQV48vNJ27aNtBUrSN+0icz8/DLlljRrRlH37hT27ElBnz4U9utHUbduSFpa6X8XbdICWLVqFW3atCEzM9P1hBg+gUabZMNXbLNnz6Zdu3bk5kZcIFeMAQMgL4+cq69mtxEjTKbfokXEpFu2bCEjI4Ps7Oyq1VUJpKWlRV0R1zrqgPK5w9nfqarzIjx7WVVdeT50w9kfCFwAzBaRGc690UAPEQlq20wAXnRToYN7gOmVSJ8w+P1+0tIqtXVRZQQCATweD6xaBUcdZVoUb79tanRxgoiQlpaGquL1eskKBslIMNasWUOfPn0sGtMvv9hm8zffWJSm7dstUcOG5uTrtNPM50uPHtCtG3TujLdxY9xMuW2Ab775hoMOOsjGMhx5ebBsGSxeDAsXkj5/Pulz5pDz3nswfryladTInMcdcggMHQr77rvLLXQYtm7dSocOHcjJyanSuFQGHo/H1eotJq680gLIn322aXJ9/rkFlg+D1+utfl0u4fV68Tkrs6SCgNQBYo/J6g8QkQdU9YmwZ64DSFdI5VT1O6JrHz3qphJVXQrsHnI9kySZU4NL55qA3+83AvXMM7B8OXzyiVlIJgCBQKDm5PsbNtBm0iT473/hiy92Eff+/W3zcPBgI6g9eyZeu6hRIwv7t/vuZe8HAvD772ao9tNP5mvm1lt35TniCDjhBDta7VJycGTDiW1zSF1xIcAnnwyffQYnnWT9jULsa4oAJytnL9QZYr8SOBYYJyLHAsNVdWMFecqhZljaJEY8xDiu6wpOLP/8p0WT6tkzYXWVriIShQ0bbFXy5pvwzTf0DgSgfXs46yxbtQwdGlWEEA9UmgB7PLaa6N0bLrzQ7m3aZEZrn34KkyaZVaqIccRnnQVnnlmjxN7j8cSvroMPtpVj8+Z2XVxcJiSlx+OpMQKc1Jy9W22c2oU6YQ+PFpEbgKkicoWqfkIlzADqxryWQPh8vpoR4yxcSM7xx5O5dq1xtwkk9GDEMO7EvrgYJkyAE0+Etm3hr3+1KFn/+AdTx4wxne9nn4Uzz0wooY8bcnPh9NNhzBhbaU2fbm6jN22Cq6+Gdu3Y7dprSZs40fqeYMRFjBOKIKH/5BPo1QsWLCh9VJNinLS0tOQk9hhn7+ZIFjj7picDD4rIf7EQiK6QRN2oHdQIZ794MQwdinfhQtILCxNbl4O4inGWL4fRo6FjRyOOv/5qsW5nzbKQenfeSX6PHsljfVIViJj76Ntvt8Dgs2fDyJE0WLiQhsOGmSjkpptsPyBBiDuxD6JjR3OrMHQo/PEHYMS+pjj7ZBXjIJgJqJujdlHmw3LE4Ptg9Lt3xBwRkCL2id6gXbkSDj8cCgrY/NZb+Hq7/m+qhbhw9j//bOKMbt0sktLgwabhsXy5XQcjKv0ZsfvucO+9/Pbxx+S/+SYccAA8+KCNxRlnmNw/zkgYse/XzzbMi4vtXVy+vEaJfdKKcagznH25SPSqWqiqVwHlN2SioPa7UctI6Abthg1w5JGmZvnZZxT36pVYOXoIqiyzVzXCcNhh5ojts88stu3ixWbZe9xxte7CoSYNy8Cq/FEAACAASURBVCQtjZIjjoCJE82NxciRFk9g//1tc/2LL+LmfTJuG7SR0K+faeZs2wZHHol3+/YaE+MkbBKrLoT4RhxPEFQ1ICKHisgAABE5y3EkeT3gOoB5vSf2CRXjeDzQujV88AHsvXeNbgZXSYzzzTdw6KHG/c2fbzFtV6yABx6Azp0T09AkR5kN2k6d4L77bEwefthEIkceaZuhQe+k1UDCieLAgbYyO/FEPM2a1Rhnn8xW33WBsxeRJ4C7gedE5BXMYnYOsBcQ0/VMKOq9Nk5CNmh9PuP2cnPNQZXzspeqXtYAKiXGmTsXRo2Cjz+2jdf//tc8K9aQjn4yI6I2Tk4OXHed6bQ//zzcc4/Jw485xibGKoq3PB5P4sUdBx4IBx6IJz8fz7p15hs/hiHgnxlSd7RxhqpqXxHJAlYBrVTVLyLPALPcFpLi7OPNbavC3/5m4o6SkjKbloFAoEY5+wqJ/aZNplEzYAB8/73J4RctMk2UFKEHKtCzz8y08fvjD1sFTZlim7xXXFE2RrBL1KS4w5uXR59hw2zCqq9BUOqIGAcoBJPTA8tU1e9cK1DitpDa70YtI+4btA8/bFGFBg0qxzHVJGcfU4wTCMBzz5n655gx9sH/8Ydx98nmmbCW4UrPvkED00764w+bKINj+8wzNtYuUaPEPjeX9ccdZyuTBx+skTpryl6hMhCvu6OW0UpEbhCRG0POg9ct3RZS74l9XDdoP/4Y/u//TD3xnnvKPa5Jzj6qGGfBAttYvOwy0ziZPh0ef7xaevG18RHXZJ2u62reHB59FGbOtFCSV1xh8vx55VyaRERCN2jD4PF4WHrRRaZtddNN8P77Ca0vKdUvpW7I7IFngUZATsh58Po5t4XUe5l93MQ4CxbAOefYRz5unG3OJqouFygnxvH74T//MRcBDRtaJKzhw+OmG5/Mm3DVQZUsaIOqji+/DNdfb6KdO+80RiDG/1+jnL3Xi18Vxo410d3555sYqk+fhNVXYwaMlUHtE/IKoap3xKOcJBv52kFcCNXOnebY6513IIonwYS7MAirq7RfS5fCBReYP5hTToGnnrIgKXFCMi7P44Uqu0sQMbcMRx8NV121i3t++WXT1Y+AmiT2pe9GgwbmJmL06Li+E+FIWs6+DmzQishjsZ6r6jVuyqkD81odwcCB5u0xhopirWjjvPmmrTZmzbKYpRMmxP2jVtU/FWf/oQgfhrg8rtZk1ro1/jfeRF95haJZs9E994TXXouYNK6+cSqDjh1tEmrWzJQKEtCGZDWsqiNinGnOkYWpWy50jj1JuUuoQTz1FFx7bTnNm0ioUW2cggJa33kn/OUv0LcvzJhh3H0CiPKfjdifoMoJDsGrDrHfvKOY+ybN54THv+dyfy8OO/9RNnbrZZ5AL78cwlxn1Lrx0dattsfw+ONxLzpZOfu6oI2jquOcKFQDgCGq+l9V/S9wOEbwXSElxqkOZswwfesjjnBlVVpjnP2qVeSefjqZ06eblsi99yZcl7pGrVpruK7KEvvthSU89+0SXvhuCflFxs3OW7OdDl06s/C6D2j54iOm5vrrr7bS6tgRSAJi36SJuXe+8UbTx99rr7gVnYycvZAUmjaVQTOgMbusZnOce65Qr4l9tWToO3fahmxurm1yuSinRjZof/oJTjmF9Px81j7+OG2uuqriPNVEbXH2q/2XkF64kZbZ7yWsjsoQ+4JiP+N+XMrTXy9i685d6s9DerXkuiN60rdtYzLSPGaFO3iwyfQHDTKZ+QEH1Kg2TkSIwIsvmtjv7LNtMopT0Jak5uzrDu4DpovIV1jrDwFud5u5bnU1zqgW8R050lwKvPwytHSn6ppwMc4bb5haZXY2a999l53HHpu4ukJQG3LmNf6/kkER6iuK+HzDjpNZ6buU9duOYfW89lWuxw2xL/L5GffDUg558CvumzS/DKE/sm9rnrtwEHt2bGqEPohTTjHtl8aNzfp2/HjyivxMX76ZDXmR+5QIlOtbbi68+qrZDNx4Y9zqSUbOHuqMzB4AVX0R2A94F4sOuH9FQcZDUa85+yqrgq1caRzQDTeYHxmXSJg2jqpZcI4aZTLXCRMoysvDU0Pcdk1z9iX+OaSLDy3eSasmn0ROk9WCjPyVaMFWANatPxD/ut/xNGkLQJtO7qzMYxF7f0CZ8OtKHvliIau2lg+o3btNIx75y56sfMdLl7MilNGnj63ETj8dzjuPD46+CL34TFo2ynTVtuoi6Pmy3Ddw6KHGzLz3nkUda9y42nUlK2dfR7RxujjR/nCCmLwX9lyA9qq6MlY59ZrYV5mz79DBDGccWWvC64sFVfswH3rIDGReegkyM9Ht22tsMxhqVo6u/hL8K6YhXQeWe7Z8kpB1wNH4sjuSkdOCoqW/4G3WHt25BQ2KSAI+1q0/EEnLQH3FtG71fdS6ohH7pRt38H9vzWTqsi0RckF2hpdnLxxEdmYaG2J1JjcX/eQTph9xKpd/+iJLs/PgjKNdiQWri5gBTO6803z7x8mi2uv1UlRUcysWV6g7YpwHRcSDEflpwAZMM2c3YCi2UftPLHxhVNRrYl8l69mpU2HvvU2nvpKIe1xYv9+sNJ97zvzxPPJIKZGoyRi0NS6z93jxNG1Pa8/Y0ltrl/ZFSwqQhlDwzadIBuwoBk8OeBq1wNu8EwBp7QfgWzWLwLbVSHYu3ibtWe67DN9LZojY7eKyhD28X4GA8sqUZdz78XwKSqJzqucN7kzH5g0BInP1oXVkZbHXNx/hv/56ujz2GFxyif2nCZ6sY/q0z3RWF/n5Zh9w7rnVqistLY2dO3dWq4xEIFlENLGgqmeKSF/gPOBioC2wE5gHfAzc4/jNiYl6Tewr7Rfnf/8zzZuxY2HYsCrVGTei6PebBewrr5hV7B13lHO6VpM6/TVF7NdvHgp6BoGtq1n6uUCGLcUlAwJbQIvBvwk8zSC9MwTyofCn3+l67gJoCit/MQKc3nEAJUumEmi+njTA08eLZNlm5LIPhM4nRla9DKjy46JNMQl9htfDJQd1rVzHPB7W/306BduOo9vYsaaW+fLLkECLU1dxaJ94wgzCWrSw2MJVRLLK7OsIZ4+q/gb8ozplVNhVEekoIl+JyG8iMldErnXu7ykiP4nIDBGZKiL7Ovc9IvKSiPwgIv2ce0NEREXkxJByPxSRIdVpfHVRKbFKYaFx0bvtZuKS2kQoob/nHltyhxHbhMSgjYKa2qBdv3ko0qAZlBQQyN9I1iF7I+mQ3qUFnuYN8LY2Ip/WHtK7gqdpEzL790HSYNXMXAA67LOTDvvspHWbn+iwv492vZbTrtdyOuzvo/3Araz8MQ0tgEVPCIuekHIaMmleD0+etxdPnDuQtk0iewa94tButG5cea+hbdp+zYqLRpla5uuvm7ZOAuXcrqJVXXutxa+98kooKL8v4RZJGYdW4usITUS8IjJdRD50rruKyBQR+UNE3hAR1wZQiYAbauADblTVvsBg4CpnSfEAcIeq7gnc5lwDHAVMAU4FQrfzV1LNmSneqJQY5957TUPhqadq1zOkqk06r7wCd99tZu4RUJNiHEiszH5DYBgbCk4DbyZkNgIN4Fu1Cf+GJaTv1o60Tnvjze2It0ULtAD8m6FkCXiatCaQt4GMPi3wNGrBusDwMuWu+FZYOsGOIDrs76PLWUqgcFe/wiczEeGJrxYxuFtzhu3fGa9nV/6De7Tg2iOqFky+tK5Ro0w987XXLK5AgtQxXQUdz8qyd37x4ojO/dwiKTdoId5GVddiopUg7gceVtXdgC3AJXFpcxVR4RpRVdcAa5zzPBGZB7QHFFPwB2gCrHbOvUDAOUIpwEwgXUSOVNXP49P86sG1GGfRIuO2zjnHxDi1iVGjTJ77j3/YEQV1XYyzuOQKABpve5plG3Mo2bwT/7Z8Mtu1ZnNeM9ofdgnZDdfhWziZol8/RQshkAfe1mVl5Cu+FdK7703hd9PISstk1ZZcJCubtDZ9SWvTBQJL8S2zdP4NNkmkd4XMvpY/2K+1ywfgadyaVk3t1T2yb2se/d9C2jdtwD2n7M6bU1ewbnsRj509sAzxrzL+/nfjpO+4A5o2NSd2cR5jV2IcMNXQ8883V8gXXmjumyuJZBTjiIDESUomIh2A44F7gBscDZnDsKhSAOMwnfinqli+AB1UdUVV21ipropIF2AgxrlfB3wqIv/G5r4DnGSfAq8AFwIjwoq4B7gLSApi75qzX7rUQtL9+98Jb1NM/Oc/1oarroK77oqZtKbFOFUl9r//DtOmmRfgP/6woc5u9DPj399EYNtqjj1pIVOnPBExb2ZmEZee8xh/v3gUNG/Io2/fRI89dtC3+DR69FlHWpof7wEXs/HyF/BkQ8GU2TQ+vwkAgS3L8a1cihaa6Me3BCQLMrqDbxVkndgfb25XirYI2zbeR+N9BkJRXmnd5w3uxOu/LGfV1gJumjCbUUf34i/7dKRZdhxX6v/8p7kweOQRiyA2alT8ysYlZx/EAw/YZm0V/+ek5OylUhu0LURkasj1GFUdE3L9CDAKcz0MkAtsVdXgDLcSY5KrBFVVEfkYqFoYNCpB7EUkB3gHuE5Vt4vI3cD1qvqOiJwFPA8c4XTu7CgN/kZEEJGDKqhrBOUnirijpKSEDRs2kJ+fj9frLT3S0tLKXg8ciHfKFLzp6XgLCkrvezwe10Su2nLtt982I5czzoDHHnPlhyfZiH1BgQXEmjHDvP2C7f29+64pEXXuDF27Qr8+++JftwACPq6+5BH0iidK9ynXzx7OknVnk7Hpe3Y0aMSRp4wis9/HrFnbmsfGjiYQsMk7K6uQffbJ4qIDj2OfgHFwkgaFU7bhabgNT2OM0OeCboOS5dD4wv54mrRD0jIp/v1r2nSaxaqtq1C/H1E/GvCz3HcZmZ4SWjcay083H86abYXMXLGVFo0yyc2Js368iE3w69YZp9+5s/k6ihNiyexVlUAggN/vt6NRI/xjx+L3+/GtX7/rfsjh8/nKnYf+JmXQcfcKTxtVdVCkByJyArBeVacleB/yVxHZR1V/qUpmV8ReRNIxQv+qqk5wbg/DZFQAb+Heif49wC3YXkBEODPmGKfuhO3+BQIBWrVqRbNmzcq9qMXFxfiLi8l57z3WHX00PmfJG35EgoiUmRC8Xi8iQmFhIXPmzCm95/F4Yp4Hj/QZM8i+4AICgwdTPGYMXp8PESl9HonQ1qSGTKyJbPNmmDjRCPr//mcEPy0NLr7YYn3ccYepc/fqtUvbb0PBaWy6fTYAw+7/LazEsfxv0r/YrfmTdN5vk3PvK1o1Nw8Wv/9uJhBTp2bx44/Q8sCP2f0EeOf8vfjvtLs4au93OWnEt2Qv/R31gX8rZB/Th8Dph+DJW4Bv7W94m7Sj/UAzxhIRtLiYkmW/UPTz72SfegYFNAWPPWvXtAHtmsZ3D0dVUVX8fr/9PvUUGcuX4xk2jJ0tW1I8cCCBQKD08Pv9Ua+D55F+8/PzAViwYEHEdoQyPMEjc+1aWr39Npuvvx5vZuau+yHnQWYp9FdE+Oabb+I6TtVG/PTsDwROEpHjMP33xsCjQFMRSXMY4A5Y/NjqYD/gPBFZBuzAeqCqOsBNZqmI43RkReOAzap6Xcj9ecCVqjpZRA4HHlDVvaOUMQT4P1U9wbmegumKXqiqkyuoXxOl7TF37lxatmxJq1atIicYOxYuusicVZ16qutywz8qv99PUVERc+bMYffddy+9F+uDDd7zrl9Pj3POQTMymPvCCxQ3aVImTZAwhKOgoICMjIxSMVVwcoj0G34efgRXCKFpgmWKCEVFRWzatImOjpGZzyeoesjMVN54oxE33ZRLhw4+Dj+8gKFDC9lvv6JSlyuhE1LwfPPKywjkbcG3QhFVWh89gVDMnz+fhj/fgSdQTIfh75TeDx2H8POvvspi9M1+Vq1uQ5rXx+B9fuXU8xYy5MhFpKUp2Zxfmjb02L59O1uXfUqj7PkEOuyFd+sSGjYdUS5dkBMOvw7ei/VfhSIvL49GjRqVm/Aztm+n78UX4y0s5Pfx4/G3aRORMQhlMKIxEkGivHz5ctLT0+nSpUvMNpXB22/DmWfavtElldtvnDx5MkOGDKlUnmhwNrOrxc30yxV9/Th3aQe8wrRonH1Yu4bg0DoReQt4R1VfF5GngVmq+mRV2ysiEf2nq+oyV/ldEPuDgG+B2dimK8BoYDs2e6VhAXH/qqrTopQxhLLE/iTMGmxobRL7WbNm0aFDB5o3b17+YVGRbUS1agU//1ztzbHCwkJmzJjB4MGD3WcqLrbNsRkz4McfLTC4S0ybNo0ePXrQ2DF1Dyc+4QQoElFycwDs2LGD9evX06BBF156KYfXXsvh6qu3ccEF29m+XVi2LI2+fYtKhzCYL/w3iPydz5Hd4BJ2FLxAyZIlgNC0750AbF9zD1tLLiCz7Vyyln2PZHlp3OEOduQ/jTRoQoFk0zLtFDZ8/ndaHnl/mYlJFebNy+TDD3N4//0ctm0t4fOJF9GkUyvy0tqQlhagbfrw0vQiwtatW9m5cycdO3Zksz6MiNLCOzLqJBntOtYqLBQxCeLcueZArV8/+PrrXUuhKmLZsmUEAgG6dq2ETYAq7L8/rFply6hKaKYlHbFvIfrGSe7S9n+xSsS+G/A60ByYDpyvqtUyIxaRPYCDnctvVXWm27xutHG+o6xWTSgicvIRypgMTA65fj9GmTWGmBu0Y8bA8uUWkDkO4pAquTceNQp++MF0ritB6KG8zD5UtBRvzJq1nUceac6HH7agqAiOOw6GDs2la1fTbd9jj8qWGNTivZ8VW2zsO/Z6w271eonvv/+efXtdxcIei+mbaUF81m+bh2TZ3ljLzJH06DEhvFDAzCROPBGefBLmzUuj8Zo3SMvoyfBz3qd311+55p5H2Xe3XQG4gyK41q1b05r7KtuR+KJfP1ttnnGG7d9U0++81+ulpKSk4oShEDE15MMOM5XMG26oVhtqFQlwlxBK61R1MbBvvMp2bJwuw5ygAbwiImPUfNtXiDpiP5YYRDWqKiiAf/3LHEJVwtFZLFTa4+XEiRa8+pprqrQpV5PaOCNGNOT995szbJiF4v3oI/PHFg90HKp0HBp5ZRck9ABFsz7Ft2oWhT+/7apcr9firTc87DwKNu+kX5+5vD3xVA7ofS8XnPM6q1fDmm1mRFTTXj1j1nf66RbX9oknTKRSDbhWvQzH0KFG7O+/H3bsqFTWmh7LilCXvF5ievr7qeptqnobZvd0mdvMydONWkBUPfvVq6F9+4iWqdWpyzXxXbnSdjD33tt0m6uARBpVFRYac7dxo10/9NAOPvxwHs88UyUV7Lig48FK224L6Hhw5YhJC+8rdN9nBePGncbiJVlccPnXvPHOGXTq6mevq39l5sptNUqgXIUmvO8+2G8/uOwyW31WEZVSvQzHXXfZxFMJ52bVqi9RqAORqkIgQOjs7KcSEpLk6UYtIKoYp3t3iyd7yCFxq8s1Zx8ImN+d4mKzoMyomt52olQvP//cOOLRo23xAdCnj582bdxxiOsCw9mw4+RqtaFw45esmdudlT/G129Mu3bw4hOHM2OW0LD/cjLabOPtaavYsqXmPhNX0aoyMmD8ePD5zMipigS0ypw9wAEHmCws0n5XFCSbYZVInePsXwSmiMjtInI78BPwgtvMydONWkBEzn76dNi0Ke7Wiq45+yeegC+/hIcfrpJnzSDiLcbZts0WG0cdZTrxX3xhlvzButyuIlp7xlYrstTS1wUtgJKlm/Fv9LNkvLBkfHz/qxbtSmh+xG+IV1mwooiTT+3OsGFm35RoRHLPEBHdupm9xddfm7ivCnDlGycWVOGbb+CTyDEFwpGUhlVel0cSQFX/A1yEhSXcDFykqg+7zV+viX05IhUImEuEU06Je12uOPvFi83K6Nhjd1HSatQXTzHO9debq/ybb4ZZs8puZYSP47yRdr5+89C41R9El7MVDUDhz2Yk5W0GXc+Nr5ilZaNMsjOc/yotQP8DlvPqq0r//kZbE4lKcdvDh8MJJ9gya+HCStdVbWIPZh33t7+5ctiWbJw9ssvYrqIjGSAiL6vqr6r6mHNMF5GX3eav18S+HCZNsh3GK6+Me9EVcvaqcPnltnM4Zky1VxbxEOMEAsbRg/nA+v5727fOCnPoGM6JZnSB5Z8nTtmqYefDUD+UrADfmviXLyLs1tqxevcGOPz0hfz4o9Cgge1L3nVXwnyTuZPZ72ooPPOMqWCOGGHvUCXrqpYMXcSI/R9/wIcfVpg86TxfBrVx6o7Mvl/ohYh4cakRCcnUjWTAww9bFKozz4x70RVy9uPHm2zk/vutDdVEdS1ot283O7KTTjKmrW1b2xN0U1f3qxRviyasbbgny32ulQUqhZ53bab7CC0XbCReGNixKWD0c58uzdhnH4u/fe65Nuklas+20gS4XTvzWzN5si29KoG4cPannWZ+ox55pMKkSSnGqQPEXkRuFpE8YICIbHeOPGA9YSEKYyFF7IOYN8/s+f/6V0iPf2DKmJz99u2mN73vvsbdxwlVJfbLltn+20cfmcKFmwVCpLqapuWzsaQxc4quZVbh9VVqS23hskO60a1lNiMO7UZrJyZsTo7R04kTbQG2di0sWRLfeqvEbV96qRk6jRxZqY2FuBD7tDRzzDd5MsyeXWF9ScXZUzc2aFX1XlVtBDyoqo2do5Gq5qrqzW7LqbfEvhzn+8UXJp+opqw8GmJy9nfeCevX2+ZsDenGR8PMmWakuXKl7btdc03FEqVIq4jCX7ZReN9zNPYW0DwtnxZL3kxgq+OP9k0b8OWNQzhxj/ZlxCoiu8RYw4cbjZ0+PX71SliwFFfweOzd2bjRHA25RNxUIS+5BLp0sT2nGEg6zl6oUxu0wM8i0iR4ISJNRcT1BmO9Jfbl1C7/9jfTWW7ZMiH1RTXg+uMP06q46CIYVKE1dkIRCMAFFxiz9v337l33R5Ixdx9hAUDSPnwK35cvoMUVhsh0jZoOyhJNhv7wwyYuP/RQ+Pbb+NRXZTn6wIHGqDzxhO07uawrLsQ3N9cI/cmxVWqTkbOvC2KcEPxTVbcFL1R1KxZo3BWSpxs1jDJql8EXPkGEPlhfRDHO6NGmN3333Qmr2y08HnjnHSP0/fpVnD6IaPsDve9WupymFM+Bwimb49jSmkOsiaVPHxurdu3gmGNMklFdVGqDNhx33WXLjptuSnxd4RCx72hN9B3zZOTs65I2DpHptevW1VtiX4azP+YYi7WZQEQU40ydCm+9ZfL6tm0TWn8s/PSTuUsPBEy1v1OnyuWvaDN4t+uV7iOSy0zeLSrSe+/QwdQxu3SxV6i6UpFqcdutW5vcfuJE+1NrGkcfHVO5Iek4+7pnVDVVRP4jIt2d4z9AROeTkZA83ahhlIpVli41eX0CuXqIogp5661mgXjjjZEz1QDmzjXHZe+8Uz2joZoUrdQk3Bg5tW5te/uTJlV/y6Xa3PYNN9i7fNtt1WtIVXDkkbbUWbQo4uOkU72EuibG+RtQDLzhHEXAVW4zJ083ahilYpzx4+3G+ecnvL4ynP2UKbYDOnIkNG4cPWMCsXq12W9lZpobhEpYvpdBTQZKqWm4tWht08bEOT6frZJWrqxafdXWfc/JsQZ8/rl5TK1JnHeeiXNeeSXi42QU49SlDVpV3aGqN6nqIOe4WVVde6Krt8S+VIzz2mtw4IG2Dk8gysns77nHqOtVrifmuKKgwPbTNm+Gjz8Gf/u/VrmsZPNkGE+4dl/gYMkS8/x70kkWOasq9VVbQ+aKK6BFi5rfB+rQwXarX389oiFCsolxhLolxhGRliLyoIh8LCJfBg+3+ZOkGzUPv99PwyVLYM4cODtiyNy4oozMfu5c+OAD02ts1Ch2xiogFnFau3wA6wLD+eL7f/Dbb7awadSv6oQ+WF9d4uzzCkv4/Ld1/PO9OVz4ws8UlkTnNitL7Hv0MFo3Y4Y5pazsPFhtzh4gOxuuu87kSjMrjm0R18n67LNh/nzzqRGGpOTs01weyYFXgflAV+AOYCngOh5tvSb25OYah33GGTVSXyln/5//WISfBHH1MYlvwId/wecMzL6fJUtg8KHH0NS7nd0yYkdLWz07+p5GXSL2xz/2LXvc8RmXvTSV92eu5rYT+pKVHn2dXlliD7YHcvfdNpE+WckgdHEh9mDGgdnZ9q7VRH1BnHEGfPop9O1b7lGycfZQtzh7IFdVnwdKVPVrVb0YOMxt5uTpRg3D5/OZoHX0aPtNMEo3aDdsgFdfNTfGLVokpK5YHi835v/GhE8vJKPXwRQvMpZFfbF9kq/4VpCsHFbNzI1aX10h9l6PEFDo0SqHcRfvy26tcmKmDxL7VdObsmq6uVBY6buUP4pjr4ZuugmOPx5uucUMpN0ibuqQzZqZ7cZrr5mpbxTE3cd8bq65Ro1ghZ6UnH3d2qANhhVbIyLHi8hALOShKyRPN2oaa9bQ6LPPqiZYrQJKN2iff94CPlxzTcLqiuYErajIfLvcfd+9ZHq/wtO0NVqUR8ni2Bt5HQ9W2vZYgmRkxUxXk6gqQXz10v344oZD+ez6QxjQoWmF6UWEncv/h7f1buCxFcDOQCbb/bFjr3o8FkHwhx8qt/8eV077b3+DkhJ49tmoSeLiMiEcq1aZe9SlS8vVlWycfR0j9nc7FrQ3Av8HPAe49kOSPN2oYTSYNIkWV1xRdbWJSiIQCOANeikcOtQschJYVyRO+667zH3J889DkybgbdYRScvA26xjzPJW/tKQlb80pF2fVRGfJ4qz/2jjrXEvs1FWOru1yqlcezM9lCyahn/tZjYUnUkzXc9eDR6qMFuLFvY3q1boNqYUcdmgDaJnT1OHfPbZqC6I42ZFG4qiIoumFYxu4yAZV391QYwjIvc7pw1UdZuqzlHVoaq6txPP2xXqLbFv+PXXJe6o7AAAIABJREFU+Lp2rbE4en6/H8/kycbtjBiR0LoiiXFmzTKHmsOGmXhhtf8SpEFTWjX/itZtYhvgdNhnJ8WzC2LWl4gP+fgWd8V8/lvRNaVeNT/bckvp/Q07Tmbt6kFx8bi54t0cVG0stRi0MA8tzAPMjfPqee1L066a3pT1244pV8ZTT5k3Azc+dOIuQx8xAlasMFXMCEgIZ9+tG/TubRvEyYy6o3p5nNgH5trpWSQkzz5zTaKoiOyff6bo/PNrdABk7Fho2jQhwVFCEc7ZBwK2X9e0KTz0EKz4SvAecjGtmriLMATEdCWcqODmX2y6hWaLpzOz5CgWTO/AtoJ09j1gCbqyAzm9bmZArgUc37DjZDo07Mz6bcfgW/sb3ibtCGxaBnOnsbrTp3gyc1jZ+ngGNXAXz3f+LUJaLqS1hUBhGtLCQ8ki6DZc+eNRYbdrld/vFdLbg3/NapYtEApnQK/blfXbjmHt8gG06TSLlb80JLPvkRz+l/Y0vfmfXHzWEqYtGMyih4UeN0Yez7gT+xNPNDn6iy+apXgYEhYX9phjbJYrKDBlhGSEJJUrhFj4BNgC5IhI6A6QAKqqrgSFFXZVRDoCLwGtAQXGqOqjIvIG0MtJ1hTYqqp7OnkeBIYCN6rq1yLSBVgCXKOq/3XSPA5MVdWxbhoaV/zwA57CQvyHud7Irja8O3fCu+8aax0e/SPOCJfZi5hhZSBg3/1OQOdMhD2eZ+nrQpezq78hWF3O3ueDn382/zJTpsDM2etZsexOAoGyk8gzpfWdSufO0L8/9G4/kENO2kSzw9sS6N4BFn2Gf/NGShYBQ49mqy+HLCl21Y5FYwRvMwjsgOIl4G0bQEPasNu1NlY9b1ZWfCVk7nU0kpZJ0Zz3WfG1kDX4DPyLl0MnWxGtW38gjfPnc+uje3HdRZfy0kswpH202uPsrwbMYu7ss012t22bye/C6kvIpumRR5qP++++s/MQJNWGfh2QbajqSGCkiLynqlUO4OxmXvNhRPtXEWkETBORz1X1L8EEIvIQsM057+3cPgQYCwQDua0HrhWRZ1TV3ZeXKPzwA+rxoHEMKF4Rcr//3ric885LeF3hnLaIxZgofe6D9M57RdWuqUp9VctntGDcOJsHNzu+0nr1gsH7tuK0k5+lVc9MWugv/LFqHwrSmpHTNR///H3xejuzeLGHGTPggw9u58GnIafZTk444mPOOGELgwf5adAKtvobsGpHDsfmmkjo+/ybODDnvojtWXC74GkE/i2Q3gHSu4M0SiO9cB+6nVS+jx2HaikX3/IWWPG10DLzLRi4K03rVt9DKzi77VmMe/Iw/vGPbixcGH284s7Zg1mHP/EEvPeeBSgPQULEOACHHGKcxaqy+zzB/lUYorMmENTGqSOoDqEHF8ReVdcAa5zzPBGZB7QHfgNwZElnsUvf0wsEsFVA6PS9AfgeGAZEVw+oCYwezYy+feldVf8AVUCryZOhfXuLCpJghIpxnn7aXOX/4x8WcAOgweEXUvDpS2T06UP7szdVu77Kcmo+n2kEPvigbVw2yCliv2Pms/eRC9hn6B+0bZPHbg3X4//hBUoGX05APZzi/YwpW7pyfIu7eP/rlzh6cAfW/5RO1r6n8vWavVn8Uwc+nLAnH35yHK+/dQa9ei3ight/5KA2v9Gj0a4+9vT+zpLxQmb/FgTyt9Bh/13aIb1uVxbcJvhWgyfLuHtPdjFFLX5l+edD6XTkLiK9ZmFX2vZYQptOu4yHOh4anYi3bvAmjz4EZ51lNkd77RU5XUKI/X77QefO8OabEYl9QsQ4OTn24oWJ94Lql0lB7Kn9zdeaRKUkVo44ZiAwJeT2wcA6VV0IoKpzRaQh8B0wMqyI+4FJIvJCVRscF4iws1Wrmnvh8vNp/ssvFtu2BoKTBMU4O3aYP6w99thF6AFaesbBsePiVp9bYq9qoUpHjjSX6536rOPhMR9yfP/baTDoaNI3z8Of25ud/kwyKGLpoP+jjWxh5ra2FPtbcmrrOxi3/C56Zpij/Yw+BzB1Zz8OynqXM86dykVnD2Pnzgy+fOtZHnmkO7eM6E6PBy1qX/eTbYVTOPVdvC3Bv3kj/k1mQ9DxYCPSv/1VKFkLDQ+EtJYW31YLILPFXrs0nEOwekEn2vVa7nqcDj7Y9uczM6OnSQixF7GQY48/bkr/IbqgCRPjWOHlbgXVLzMyMhJTZ2VQxzj76sI1sReRHOAd4DpVDd0kOAd4LTStqv4tUhmqulhEpgDnVlDXCCAxKiu//mrBQo46ilmZmaSlpeH1ekuP8OuKDjcbk/rZZ3hKShK+MVtanyPGeeiBB9iwYVRlgheVwcpfGuLJaRZV5TIU0Yh9UH1yr5K7uPJKkyT07g0PvDaOfkf8Qe8mG8haLOQHMmlcmEdhIJ11xY1ZWJTLoJz5fLV+d85qtys+w7BOt/Ljqh8BE5Hs4z8f3zp71tIzDnLMlmj4cPNIcfPNFkv3+ONN63XbvtfQ/Pfx0PckU7QQfynB7/uksuB2wZsLGf2b0PVCcwO6cvLkMlw9QOEvS8nsX3mjuMxMU31ftMjGIdI4JoTTPuUUs6b97LMyFuPRxDiBQAC/3x/xCAQC+Hy+MvciXWcsWED3W29l4fXXs7V/fwBKSkqSxrBKqDMbtACIyInAR6papRfEVVdFJB0j9K+q6oSQ+2nAaVQiwjnwL+Btdsnyy0FVxwBjnDri62Vr8mQTEp94Ir169Yr4svp8PoqKiqK+7KFHNHl1cCLwer10GzuWZtnZzMnOxjtrFh6Pp/RZpPNI17EOESk9wD7U/MJJPPPchQzebzoHHjiwVEWwXZ9VLB4rdBvubljdEPpYnP2+zZfz3NuHce6VOyguSOeBBzIYePEt9G+2Eq/68K2bT+HMFTTc+hwrB1zD5vxM1u/I4Ohm0/h0w96c3+E2/ij+K1meYjL+n73zDq+iTPv/55k5Pb0XQkILLYBUKSoiimBbsOu6LrZdfddVt1hZC9hZX3XVddeG2MWCimJBVJpioXcCBAIJ6f3k5NSZ5/fHnBQgJAfIieHH+72uueZMfWbmzNxzz/3c9/frKkSJTKTcdzbbvPPRdUnST29jyjo0fVYIg4xMjnqAz14Zw7uPn8PgwfCvpy1MvGoqrH4TS7/x6HWlaMXNXnq/mZKttwisw9r+6uv528Nfv7LaKW1mOl1zjXEb5ucfWmgqhCAQCOD3+9F1PaSh0QC3Nt34W7PZGBwTQ/Vrr5GXkdF0/3o8hoLY7oMkBYUQ7To6jY6RxWLBbrcf4iyZUlKw79nDkIYGlAkTAFi/fn3XKaw6/jz7y4F/CSHmA69KKbcfycaivc61YEz+daBKSvmXg5ZNAe6RUp7ezj56AAullIOC0+8DY4D728vGEULIDidq+uknlr72GhOCN2BHQ0rZ/LAFAlj69KEyOxvzJ58c+AC28ZC29UC33H/LeY1o8BexYkkWjz92CrMe/JqxpxYjayuRAUDTUISG9GioERoEAkRkndv00nCXzyMi5bdNL4/GL5eWLxXggBdMZWUlVquVmGCmR+N8KWHWv8p46/mx9B9YxF9nLyatRw2ZtcvQ6pxIj8SSlYYSk84ebxqegILLr2JSJOMTm/uiqrb9DiwmFIsdrdtIinb1ISKjhLjKZajxGWBPwKNbsHpKiI64m/3+t4nSq6mQKURvXURg0ATq913Nbbcls3mzlWv//AM3nfE45owUtJoKlITueNcXYRmUQmTsbUgpm66nlJK9e/fSvXv3pvmNQ+N1l1Lirv8Ci30yUkq8+gakFJjJafX/+emneO65Zwj33ruVM88sO+De0XUdr9dLdHR0k8FtHLf30j+cw9A4jrjhBtQVK/Dl56MEDXJhYSGBQIDevXuH5Vmgd28YOtQQTAA2b95MSkoKSceoHxGksTimlJ4hvYX8dHb76wH0vJQ1UspfVzcUEEJEY0RTrsXoF50LvCuldLa3bSie/SnA1cAmIcT64LwZUsovgCs4KIQTIh4BOlCm+QiwZg2MOJIPkSNHS6/InJcHRUXUXX01vWPbL8/vCGxdM4WSmJH8/o9errviNqzpfZEBL7WvLqJuoYLjVBNSKPSZUcsW9730t5zUZLSKfp6HdL5P6vAtBxiztgan04ndbsfhcDQZtUBAcs89ccyb15tzpm1k1j3/xVSfDxUmdCnRqszo9aB7qzEPiCXZ7qYGB1aML9Rfyj8DYGjMZDxlsahJEnPaSbg9dlSpgV/F7xTodhO4axHuaqoThqL75xLhd+Mr2k59cgalWVOJ9fvp10tj/vwS7ry7hLn/PoXKnTfz4JNfoidnYnXtwTY+FVxlRAfj2S1fZkVFRaSmph4wr+VgvAgHtJge1sry5hfl+PHwyiuwdOlAHnroQMIwl8vF1q1bGTVqVMffGOedB/PnY9u1y8hZxegw9Xrb5kY6JowcaeTUBtGl+HGOP88eKWWdEOJDwA78BbgQIy3z2ca09sMhlGyc7zkwq6blsmtCPMB8YFCL6Q38Gpe5ttYQ+L7mms5r8zuDbrr+5JM7rcm49LkMmfgEZ48/m8A6DW3LdswXXEf2XyX81aj8bIxBq7ofu6256CV7Yvthm4NRW1tLbGwsqUFCOV03LvG8efCXv73Jnbc+gV6zHyUxEd1ZgT+vCt8+UBwQMakvK2yjiLW78GsNjDavYqlrLBVuM6qAjRFvMPrKREzOfVTYa+nt+p61Fb+nR6+dWOOLCCQnoy2cw9qx9zMuaTOqDDB/70CmDSyjzlGC321mcsqspmO94cVXiO1Xz+uPT0GPTWD6U59zSY+5bZ6fyWQisQNJ6xQFbrwR7rzTyMxpGbtvrYO23HupkdJ5rDjzTGO8dGmTsQ9b6mUjhg83soCqqiA+PvztHSGOp2wcIcRU4BqgD0bt08lSyrJgQsxWoE1jfxydagegpAT690cOG9b+uh2F5cvR09Pxd2+bf6YjsWyZmZ0lOSgnT8dy8XVkTZOkq3OalrfsbBxie/qY2zs4Zv/Xv8KbbxpcPDMe/BBTch9kQy2B/Tvwb6tCjQNLb4i4oC+ujDM5I24DA6NKqPaY+bhyPGOSC4m2BhiQ5KR7tEFUJ6O7sao0iRLHUOzSxaaaFNS4TKyKH3O/dLpHN7CyPItE9S1u7DWDlWIyE6If5cIWhh7g/KSHuPz2pVx5zzcsfG8Ubz0whQ+KZzYtX1o3o0NoFtrD1VcbGVLB6EYTwtZBC4a4cI8esHx506ywZP+0xGmnGbUlQcLBLiVNePzQJTTiIuBpKeVgKeUTUsoyACllA3B9exsfR33RHYB+/WDbNrRAAPXHHzunzZUrCYwZg2rqnEstJdx5jyAl7UxOOnsD8cXfQI9wt9ls7P/7XyPZ6dpbv2XYTUtZ5hzGJakz2Vcn4MwbWF3RjcoGC8NG15CRN5cVxelckFGHNVDLme65VGdewJrKdCal7ybXlUaquZqV5d0ZGl/GZP1dqsRZoAfIyX8e4k5FL8sFRSW/NgJPQKGsZhJf15/GkMQ65u41lJrMqs5ZyqdUJYxja3U8p8dsYeQ/NhK5ai0vv3InKT0ryfrLnaRaqsne8xFaURX5zlfocVn4FLhSU43EsEGDDpzfmvHtEK++EaecYnxtSgnBcGNYPe1x4w6oLVFVFb+/lTzWXwnHUzYOUCKlXN5yhhBitpTyLinlt+1tfGJ59kF0WlFHUREUFOAfMSIs3DGt4Zt1D1CQn8DkUxeT6AqRavEY0RinX7UKbrsNJpyziXPvWkFKhIdLUmfy+r6HMKUbYZBEh48be80gbdUTCFskPk2hSosBswM1qQ/2954jzu7n7R0DWL0/Fm3hHJIjvJg++S+6s5yYrW+AYkJ6/Uh3NUpyP6THxZiCfzKh4EFclVXo+cWY/R4izBqKkMTZ/KyznkO9ZuNU30cECtfh372SmXM/YOL5G3n1gckUvbgc3/Ov4M+rQndDxNRLKHcdU8Fiuxgy5NBU9A6nSzgYY8ZAcXET22unhFWkBJchldolY/bHD8XxpFbmnRPqxl3nNDoDv/893HwzgUDAEBsPN1avBsB/0klhe7nsXxfLvsWGV11aMoavPx2GEDqnpH1Hw9KlVD25LSztHnAMvuWsqnqdqVdUEJtcw8tvPIeqSraUG52d0zPvY1H0bexuSEIJZtJ2P11SnXkB5xb8g0/zsng9N4dAwXrs4wdQ7TaTGetmUIoT22+m06fobcAohFIi45CuStTkdAACecvR66rwrnFTud7GDR/dzP0Lz+f+j8YAYDfp7K21kxNTQsbet1njmIpWU0r9wgrcC1fz4CvvkhpTwG2z30br50CJAALg/u5DPL+EzB57VJDSkDV4rkWkNexhlcaO31WGml3YKmhb4uyzDUI2ulgYB44LYy+E+B8hxCagvxBiY4thD3Co/uNhcGIZ+++/h+rqzvPs160DIfANGBAWz74wcAMAaqKR8qg3VPPdR+kM7LGDOL0C/06D4yWcWO2+g1itjFeeGk/x7kQefPldiqwJaFIwLLmqaT2zquP2q6hC8mHJTAAqfBGo8YmM7V6FwxJAzTmPNZEXs7/OxvbyKFw+lV0NqZgzhpFXC+tNF5BXaMGn2mlYXITrq6UoMen4tgD9TdxfcS95lSkArM2Np6DWxmXpD5AW6SUgVUxpA6losOBZ6cY2HKIum0C2dTX/vGY6+0p78+TLszD16I6pu4pWDiLSTpHWbij0qCEErFz0A6/8axV73mlOaQ2r8R0yxOgsCPIth7WCthGpqUZiBF1MwEQcH3z2wDvABcCC4LhxGCGl/F2oO/n1T6Oz4PPB3r3Qu3fnefabNkGfPmjBgpNjRWnZKZTsG9I07dEtCJOZbsOMSk9XLWzdeRIn56xHjTIeYGsLDpYdvptZ6/77MR8HwHLnPXxZeR/lDTbyN/n5/LURXPHbL7lo9PuUuazYTRqRajMH/u8y7sdu1nD5TVySOtM4Xp+Jhn6Xkvz8bKoarHxR0IesqDom+qey+JkveOGGV8n2/YzTksbshT35zamfcdrEHZwz+W4ufsrJ/34BO7bXYx3fjYe+/xsbXIOb2lNViVnReWr7bPbX2QhIFe+6bxj90v34dgdZLXNXIH0NnPZ4X66cOpdXP/kLOzbGg6JiGRyDb+jvKfR2DFnc4XD6KYvYtGcEDZl9gE4Q+LDbDQ2HoJpKp4Rx+vQxwkYeT9cK40CHefZCiO5CiCVCiK1CiC1CiNuC8+OFEIuFEDuD47ijOEoZzGi8GXC2GBBC/J8s4SEoLDRyAnv16jzPfssWyMk5UGz8KDGvFSPQx/If0geXU6RdT0nRSKKz0tn80zAuHfUZ0qUhLKDENqdV9rU8H5LCUnvY4bsZT0BlaNVbJNi9vPzmhZhNfv5+7rXodaX0j6vGpymsKG7m8n1930P0jShlc2kUABXa7+gXXc76qmS8f7mVeIeXTWvKuGPaDnJycljx2lL2VZiot2biKF/NHQ8MYc7f4Om/wm+njSPaIXjpXfjilY08/d45LK0/kMF09Ell3NrvHv7W/y7+nH0PW6oTKR/zN6IujiHhH+NwnDkZFBXZUI325RzuuuUR7A4vT8x7BSU6EX9uLRGqB5vip14/8nTUUHHhdQ8ipcLOip1ha+MQ5OTA5s1AJ4VxevY0YlYFBV0u9bIDwziN7MADMQpGbxZCDATuBr6VUmYD3wanjxTvBMdrgNXB8ZoW0yHh+OqLPhbsCxJWZWaiaVr4PftAwPh0nTatwyhd/Xk/o8SnHzI/XZ0D6ZA/TyA8YHPmYMr0Y+unokQejSNxeGz23kaS2UWEOYpAST6618O3S4dzw1VzyLpyMtWBSFYVJ3FtVrNy1FuFD9InvoF5O/uSEe1h7t6HOde+h6qocYxJLMTqryL68xf411/9RMXaOOvWcxg6bTSjB0hsu59H7TWOftVr2NN7Ai49kStGnESqYyuBK6vZOvHPzPp8Cq7cH/AV5RI7/mpiYiSjBpcf0L5fM5McYUYOvoS1tWmM0L7HnDUM99KfseQkklCfz7UXPMVz797HzpuG02eAB//Pb5EYm0Kpv1eHXsOWGDkSLBZDq7aTqJMMrcSPPgKvF6UzPO2sLGOcn4+pe/euFcYxhfol1XaneRvswFOBCcHVXgeWAncdyWFKKc8PjnseyXYH48Qx9lYrTJ7ceZ793r2Gwc/O7hDP/gop2bdIkDH28CyLT6x4k+7dCjljwnrShs8nLS3tmNpsDQX10aTY8kmyRFB78q28dNMpmEw6N9y+pWmdbtGeA7ap85rYX2fnkj67qNMc/LA/BelxEh3bgP7tHFy1MCYdbrj3NH5z/UhGWVaC8jXCGoW3ogIZWMbcjdOYu+9SAB5LyaPfxSCn3MTWhUb9gq90N3W/fIS3eAcTn7qGao+VXxru5Jf9caRG6YxLKSJKdbOsrCcun0p+4iiyYssw99uOVlOBbxv8fuwzvDT/dl6Zczmz//ETIjIO6XGBCO1e2XilYMi7R5ZJY7PB1KlHJkp+zOjTx/jKzc9H6ds3/J59v34wYwZ07961PHvBEbDQaolCiJZe9EtBDq9Dd3sgO3BK8EUAUIIhAnVUEEJ8isFYsCCYW39EOHGM/dix8JVBThXYuzf8xn7PHmPcqxe6rncIpasp81Cvvlyfjm/TQsiZxrvvzuGSS2DqhdvC0iE8TwhOXanis0USFZNCQdxUPvjoAiaevg57ugXfpoXs7PYnqj1maPFBkRzhIznCi3nPN8SU5DN21F8o40wid33J7a/Ec+eVVWRN+z0zLzQRkE5ccij2giWIhmpk8L2RW5nVtL8KfzJzTTNZ9mwyhVVGWChu/NXYkjKo+OJfLH/4KWa84cC+ZT9TTrqGUl80Ht1CvWYn2hogOcKLR1NR/C4Ce2vx7wVLf0gorWTqOZ/w8WfTeOCuh3DY6qnteyX6ykj2+v9Alrl1GYbNNwgsPcB+lMwp779/dNsdNRp5cHbvRvTr1/a6HYHUVHjkEQBMUnYdzx4BSqh2QKsIhRvnYHbgln0wUkp5jMSOT2KQoT0uhFgFzMPgHPO0vZmBEydm3wKdEsZpDBtlZXWIZw8GA2VZ1RlN00Xa9Uinwe9bWhxLdbWRbHGwBm1HYcL+EfhG3sCWHn9mfcxlfLZgGPV1dqZdHEOmZQY/JN3KeYkP8buM+wFDELy0ZAxOr4nsknkoUSmYuw+gxB1BcvVKbrvfw/yPqti6z0KpP5aAVLDV52P+/kWk302gNA9LzmD0+lr+Onoet6a+wIjEDdR5HXy2tleToQdIiWtg1iOJ3PSfK9m7uZib7wsw1/og66uSMSs6P5ckk2iuY5hlE5EmH7FmD04lAevwwURfPQFzdl/klTdy+aULcDVEsujzUagJPYhWG1AVHavz8F9Ug15pfn633dFF5PbaQmamMd53+HPqcFRWQllZI4FZ57XbHhQ1tCEEHIYduFQIkRZcnoah2HdUkFIuk1L+CeiFodB52ZHs78Qx9n/8I5x6KgCBQCD8nn2waIX09LDIsO0L/AG1fAsN3y7Cu66Kbc8bqXTx/rMO0aDtCMwTAnzGl+PZcQ9zTsJD7PnmShISYMQIJ0KIA3jn3y+aRaJrE9LXQE5SHZ4f8/Gu+5lAaR7pDifz5jtZOH8vtzx0Gufecik24cejW/Bu+AatHMzZZ6DGpyMsDtTk7iTt38H59Qu5avgPhxzbBTnreOF/vucC7QluvDqRWY8PIr1XAtlxteRXOzAJjShrALV8C1rlHtKrl5Fcsgj50os4391EwzdL2Z/2Gxz7lzNm4n6S4ktYtHwqpdEns6EmDeGro2Hpkqb29n5yqEHve68k+++y1VTX/HltvwDWr4f0dFi8OMQ/41iRlmbkfRYVdVKDGGpZt93Wee2FACEEQlFDGkLYlwDmANuklE+1WPQphjofwfGCYzxmO3AxcBMwCqMfICScOGGcoiJDA5ZO8uxLSiA+HqzWDvPsAaTPTal+DWBG+howdbfj/s5N3hrj0zwrcdchGrQdgSsO8sakNIzTlCmgKK17asIeh7Z3HZ44FRkAJValZuhN7CtXmDVzDzljujPpD+PRa38gxt6A55ePsfQbjWvcUKoDKr7M35BCEbqzFK0KakYl8+LiMxkfpK9PdZQz44IVjO1fTbHIIq/XH+llKue6qU6KMy7CotTRJ9HDysJEpvXMw7v4Z4QN/HvAnA2RF4/G+e7PqEmQnv8OIqEHiqeWMyb+zDdLJrO3bhMxdj8BWwTaTuN65s4U2IYe/jo1CpK3RHuC7klJRlHrrl2HaHOHByZTc6OdhYQEqK7uvPZCgRBg6jDFrFbZgYHHgfeFENcDezG88aNCkBr+ZOAr4N/AsiMRMjlxPPvqaogzAsmd0kFbXg7JyQBH5dn/PKR1b9BfsBFVBrAqftSEnpiSemCfaEd3mEhP3kePM7qFxbMH+LLyPnb7b2KX70/s3GlIjJ4eVDJoGTYq3t2Py9If4IvyYZhOmsZARwFrz32AjLEBLCLA+y9uoKbSw5N3C8oabOTbRuHftxrpgUDpTiIq1/NNQTd0qaBXF6DXV/NN+elc+8Pz5Eojxnxe9k+8ftqfGH2ShrA4iDc56bX9GQDcPSYTrbp57b1KXnpxDxfWz8ZU9AuBYtDKAQX0SggUb8c+MZ7i0XegZ5+DXl+BEpPOyQO+oKoyGrXYTB9HGfhd2Cf1pSg3k34zJVnTOjYMkZZmiJg0RlU6JdSRlGTco52FuLhmRfkuA4FQlJCG9iCl/F5KKaSUQ6SUQ4PDF1LKSinlmVLKbCnlWVLKY7kIc4DeUsqbpJRLjlSx6sTx7OvqIMXoCO+UME6Q0hXoUM8+Y1QDRbmZ0GcSCqBmjkKrLuKm/65iZnom8AOlZWs7PGb/dfW9gMCxfzkoJpauNeaPGmVw1wsheKvwQeJsfkYl9KS07BSGJZ/M/D19sZt0Iswa/975GJf2djHq0rGk9YwRneHMAAAgAElEQVTHekZf+ir1eDQVNXsi5oxq9oh+bCmPJivGzX5XJJpjNG/seIGPXUaue48EB0MycsmJmktEjyGsKOvBqfpCTAEfpPTB8+EcPBfegkc389Nbn7NnczH3T0pEd9cgbCAsIAIgPaCV1WLu1YOsuuVo5Xnouo4ppT+ZU3vDQ7BpbRZDB+UjhESigB6eLBJFMfowG6MqjZQJYb1H4+ObPO3Gqt2w8jdFRxsZajSfX2fxRbWJkDtofz0IISZKKb8DIoCpBz/bLdUD28KJY+ydTkPxnk7y7Gtrmzz7jm7PlNIPj1Rg32qEyYKpWw4pyc2x7HCEcc6Oe5it3lsxxQ5Hepxs3WoYqQEDYONGw9j7NaNNYYsCaVTQDkyqx+1XKam3EmUN8GbuQBwRAWwjxuH2V+OSKiMaFqDlF+MfMJWGBhN7Kxx8vrIbQyJHs3hbCaf2UVhw8ynER1hIibaxbo2DtCG7qLfexLD/ziJwsh1hsaPXVWHJScSkNmBTTEz57WDuu3Yfa5YWM2KkBb0e/LtBiQIlBoQb3D/kY+qWj/SA/ZQJ7JADGNi/ANWksXt7Cuz4CrS+mDKGY1LaFQM6aiQnNzvanWLsY2OhoABorqINq/GNijKeQbqQ6Lg4kmycXxWnA99hUCQcDAn8n7E/ANOmNfHJdgpdQn099DKKcY7mwR298fCf8dLXgLVqK97sc2HxK2Ses4ebboKYGJg9u+OzcaSUvF/wENPSn8aqqhBh6Kd262aULzSGHK7NupcvK+9DK81Fry2mps8Q3H6V4XEFaLEqL2/OIX/lZgp2VfPWvQ3oZdtQY9JREnqiuyrx6BbcfhWpw+oNyaxmD1aTwgMX5GAzH3r9kpTX8Z26EL3G+DL2bQT7eLDU78Vqj+Xss5O4D/hll4OhmUbnshoHlkGg14F0g5qAEcfPA93jBAvEWN0kdqtlb34Sij0GWedCc1Ygq9dDmDIVp01r1qMNOxkaGI5PfT3QSVW0V15ppD/TxZgvjwNjL6VszHx4UEq5p+UyIUTIhVYnjrH/17+afnaKZ+/xgMMBEJZP1iZP/hwj9/vnn6FRH6Wj25s+dxXLd4zgsagFfPeX84mPsFBWZoQewDD2S2qeYrRpI9lRSQgtCtXiIMO9ljrzWPZ6klldHEuCw8u25V+w+dsytN/HocZ1o/7Tn7EOVmHUNdjWzCFnxO/JHFzLZ18NpsrlY2zvhFYNfSMs/Sfi+eVD9Co3liGgRBnaptJVQbfy78jIsLF5ZQOcDubuECgGX65h6IUdlEDQ6MeCYosizVpDneYgMdWJq9CHe+U2RIROYP9W1JqCsBn7e5sLjjvH2Nvtxj1KJ5GhnXVW088uQ4YWzMY5jjAfGH7QvA+BkHRWu0DQrPPRKZ69z9fkqnXkJ/KedwQNX608ZL7HY1RjQseHcWac258eyXXUOK38sqcSMKJULSV1/ZqgWiQTq9ZREDUOkvuz3Hc6kWY/lW4rWTFuzs4qpKjASUaGDXPWcLTq/UScPwJzz5GYytZj6X8G9Zqd+ILPGJlldKZP6Nu2MLV0VVD3JqCAbACpa/j3rsW/dx1aWRXd7B7qAqDVgGcN+PMBHaxDDOGKQDFYh/XAPmE0usdJVKCMgdZnSTbn4ayPwNQdkDqejbV417d5KB2GsDNfgsHRENSe7ZSq1rIygyuKrkRzLEC1hDb8mkcpRH8hxMVAjBDiohbDNYAt1P2cOJ59TIxBHv7QQ53TOaRpBpUsHfsl0fO3knL3RW011+FhnP6p0Xz558t46Lt/c+YAQyvB728OO0gpmZL0d+wWO+X6dIMJs7YHdpPGlvJopmfex/4NCZgC2dRoccRE1INQkTkXUqdbqddsmISOQ/ESrTSQlr2HPnnb+XprKaf3S27z2JLjl+AcKVCT45GeerTKAhRbBLrPjbDAe/+EQInhuVsGWEDX0EoNwxZ50Vn4IrNg3woAUtObq+Gj4idSVrUdS/ZoKNMRdgX1qAvd28f118OKFbBjRycImICRfhk0uJ0Sxnn2WXjsMQg+C10ijHP8ePb9gPOBWA6M2zuBkDU0Txxj7/UaFiqIsFPJtkBHd7Yl2Q/tjxHCyH2H8HTQ2i0qj05pLooxmaC4YScfl75FqpzSdD2XlPTC5TfO1ek1bq+nts/mNwMuZ7crHpvtDRq8dmrsvYl15VFmyaE+YGGAKRe/GofJuY+tv0Ty0doFZCU46JkY0eZx7XhMYB0E/rwqtDKw9INAlRvL4BH489YAYBkAejX4tviw5FhQU2Bl1n346gXJ0ocl8WLK6q0HJEAHAqAoOp5VPyMYT8NKhfr1UHS34JR9HW+IvV7jhQ2dFMYJyhI2thd249vieetSnr3S9U2glHIBsEAIMVZKedR6ql3/TDsS4X6AWkJVm57egwW5w4FBgwwmWQhPH8HBiIqC+vpsLkyZxcq8lU3n17KK9q3CBxmYUEt9wEJkyfcMqi0mK0GyZqOfLdWJ/LC3P2ZVp1t0Az16JmAt38TOHwq4J/cZSuo8XDGqfZF2YYHadyB6qvHbvwccEwfgfHMN5p5wxz9hzCi4cJQRm5cNPmrH3coZASN3dIccQJ3XTJQ1wMelD2Az6QyPK6Cy9CYceLCfdhZiiYY5S8GWBYFgveLWWwQDn+s4o+/zGZEVONTYb75OMOjVDn7BBALGG5tOCuPoepPB7zKePRwXHbQtcJMQYpuUsgYgyI3/pJTyulA2PnGMvcnU7Dp1BiwW4wnuJMyf3/y7M4x9UhLs3m38bu1l9n7RLOJsASo8diyqju6uQYlJ474rNpHwztV8XWxGEZIEh5du0R7qNTt5hXH8ecOduHxWAJbtKMfj11rtoG0McwRKDDUuzehKwNwXtNpSlDhwRcH8tdAtEUy/AeuIcej1FSRV/4w3cRBWxY/ZoxtC5S4rGdFuRsXuAQnl5fEMzN6EXleKK20g+tgbybEsofL1pWG5ng0NTf35CCHIf3E0dtcOlJiwNGd85QbfLp1ifFvE/bqMZ3/8pF42YkijoQeQUlYLIYaFunG7FuFwCizBZbcIIbYH5/+zxfwnhBCrhRCnB6d7CCGkEOKWFuv8O9jB0DkIGt9OI2FyOIwn+FfAkXxJFO8+uvSSzEwjTbvxmRVC8HX1vXxc+gCr3XegKJKR+nfk5P+bPo4yZEMdmCwkZMdjVXX6JtQTYQkwtnsV3aLcxJcupdwd32ToAYprPfz7u12HPYZtdwgifwO24O3uy4fAfvBvq0KrhOVfGtGKCbeMQHrB/f1KlB5j+cp3Ht8WZbGkpBeVbiuaFNzYawYAu73pFPkS2V/Wg+icRNY4piKExOU1kRy/hNHrjfvnWLz6nU8e+t+UV20lJmjYvb6PMPczYekDBOh4rx6Me9NuCNt0Ssy+hbHvMtk4CIRiCmnoIlBaKl0FVapCPrhQVmxUYFkrhIgC1gghFmPwMk8FTpJSeoUQycED6B/cbjzwGrAsOF0G3CaEeFFK2XkubyP+8AcYNqzzKvda5DF3BmbNgp9+gi+/PLLt0nrlHlV7/fsbz29envFy2eK9B7DRPbqBdEsV3kiVXDmeXoMH8G1RFmNzriJS9ZAffRaP3LUJb2kuf3t6Cgtz07h+cC6YLMTIAxWhhJCM7nWo6ppr5yfs/OB8rCr4d4JeC6Y0cGSCuW93ap4pwHYyLPgIEqJg9KQB6Nv24M+tgrLtnNctQL4vjYaAifFRjzXv12fCHVDpvi8fr8dCTFYNPk0hXvWSEllJYeAGMkyvhHR9Nlwi0Jxg6Q7+Yhj2eesGu9x7KUnWDzjvNz+SEDXQOG9VoGZ1w+pw0rPf0TNTrjtPMOxzydrJguGLJD8PFU0vq5ZFhp0Ss7/iChhuZA2aTCa8wUygXxUdy43TGXgS+FEI8UFw+lLgkVA3btfqSSmLpZRrg7+dQKMCy/8Aj0spvcFljVSbKqBjVHa1dGHKMWS5pvNrYPZsuOKKziFBAyP7p6am/fVCQKl+DaVlp7S5Tk2Nkc0Rzg+Xzyvua/o9LOhNr15tGPsd1dH4NcFI+xNsqElnV1UEqdY6VlV2Iy3KS54znj3uJMpcVvz1bpa8vZqIkm1cOGA/VYFI/HlrSOrZHKO3mjXumraOBdXz2L8ulm1/F+TeL9h+r0CrA/sogbkn+PcZ+fJYjOIoJSqZhJnjKAjA4jVw2U1DcBJNt5Mq6XGZJCX1JxLVtxhpfwKA/+Q92tSmO6BwSepM8vcYBPMXjV5BhEWj2m8j33VkWrS6yxircRhPQwtk/735T0qyGs/t/Xdfz803G/Mi7ZcTl/4m6cdg6BuxZoJAemHVWIHaUiCltrZJMaVTwjijR8PVVwNdp6hKQIexXnYGpJRvABcBpcHhIinlm6Fuf0RW7yAFlieA04QQjwAe4HYp5Sop5RYhhAP4HrjjoF3MBr4UQrzaTjt/BP54JMfWLnQdfD40KXG73axfvx5VVVFVFZPJdMA4lKHdMEl8fIfzhZfsG0Jq5sZWl2VkgMvVYe+XVhFh0VhaN4MJ0Y8yaJBhK5Yvh6uuklyc/g/e2v8o7xfNwqebSYvyYlN81HlNnBRfyuKCTHrGSRIcPiZfP5Yf317OI7cv54EPevN1Xip/AGIrvuOCvplYrWDtk8TP7hR6Jzjx/FCLMIG/EJQIMA2RBEpBVQyjas4CTEbevD93DcKmIrIHM27kFm64NYc8Zzwb/TOxmzTKXNYmycTxUY8xvpkSn+mZxsts+XKIiICBg/eyg2xSHCPJjMokzhS6xKNiB6lDKN+wgYDhaAd5+josG2fY55L10wRaDVh7ga+gxcLKSoPrgrbDKlJKNE0LaQgEAq1OBwIBrDt34td1XJmZBAIB4uND1skOH8TxkY1zEOIBl5RyrhAiSQjR8+Cq2sMh5DNtRYHFFGx4DAav8vtCiF7SwC2t7UNKuVsI8TPw27baCsp9vRRst2N81UmTwOsl8OWXREZGkhUUFTn4xvT7/e3e0Lqutxr7F0KgqiqKotBL10ksKWHDmjW43W42bdqEoihNyxvHjcPB0y0HT005QkShCCt+v79pfssXTpCZoanTNByYEN3sBasqnHGGIf515ZVGH0GjsXx930OkO5zUa3ZGpZRTr9nJjHFT7LSSFuVl+ogCnA+M4ME7fiH+2TyevKsSU+EAbEnZ3GN7DbXfJB75OZ0IS4DxPSpQ1oE1BwLLjTHCoDuwjAM1CXSnMZYBUBNjUCLj6LF7E/NejEFVdhAbHc2GqhSirAF6RtW2eY5SGuc0YQKkR39AOrBRbGRN/X85K25GyNdKd4OwwsBn2r99t2yBoUPhww/h4oubjb2UEl3X2x00TWv1t67rOP6Z2zTfquts2LABTdMYXFxMVf/+5K1cidvtJhAIsK8V56TlPd2a09PSQTKbzdjt9laX2+66CxEIwIoV1NbWkp+fH/K1DB9EyJKTXQFCiAeAkRh593MBM/AWBr1yuwjJ2B9GgaUQ+EgaVu8XIYQOJGKEa9rCoxglvsvaWa9jERcH27YZN73VSlxcxwpxw4FekDJwIKYPP6RXejpOp5P09PSmZQc/qH6/v9UHtXmY2fR7775fmn63fOHU1EQAo/j4462MGVPP0qVLgaBAgxBNL4fGcVu/W5tubRg9OooFC1LYtMlCZmY+iqKwru5TokUMpR4HyZ4tqFGJqA1V1Go9SbAEqKiOoTDOxKXnW/ns4yoWPPo5f//NNZhiL8VRXMSS+hmULrMzY8C5vJf/MSmlJVQUjECJBPMUaHAI/PWxeHoOwb+3Dt1pGFXhElgGJ7Hm+3w+/i6bJ55YjMPhQJOSH7cYt+yoxAuRUlJAAVLKpuvXcrxli5nduzO49toydu2qQ0pJUfU6LL5Ytru2N23Xcmj8Lw74/eAvSCn56aefDpjf+N+1xJIlSUAO1dWrWbq0Hq/XixCCnTt3tukEtOcsmM1mbDbbIQ6GqmmYa2qIHziQ2BEjKC8vx+l0MiDo6YcF1dVGbnDw5dElOmgFx1s2zoUYkZXGsHpRsB81JLRr7NtQYPkEOANYIoToC1iAivb2J6XcLoTYilEJtirUAz1mJCRARUVY6Y2FEJhMJqNPIJj07qiuxmKxkJBwZDHfI8XYsfDGGzBmzEAiI8vol3kjab1yDzE0bRmolvMOZ9CApnnnn+9n5kzJt9+mc8EFkq0NC4izBYhT6wnoJgIe8NtjqFNSEW4zZU47FpMkvyKZ7g4bt87qi3vdQlRzJrhgv38IfW06gTqVBdu/xC5s1BWb8Xfri5om0VQV6dHQZCS+2CwUbwNqTwcoKv6ddaxYUMw9T+4gOcVFeXl50zWPQcGs6niCXDCNX0Qtx40vuE8+icZslpw+4TF8qgm9ei+x1r8RFxVHTExMmy+/9l6kB48bsWSJwSB61VUjsdth9+7dqKpKVlYWYUGQatjcowdYrVgslvBnqVVUwEhDwrXLpF6iIEzW9lfrOvC11LEVQrRdcXgQQvHsD6fA8irwqhBiM+ADpsvQ75hHgHVHcqDHjORkqKhA8/k6p4O28UHNz0cNs6EHKFdvYMkSI1Nk6VJAM4LFjZ/h4UBGhhF2+PTTbmxQHyWuu6EEVi8kfRpW4O85gKpABRmKl8KyVCxAZowbm6qRbq1kd3QmE+UyTGI3T3+dQ0NJBU/d/z1nDrYye+sT9I53kV78Pn5HLebkGIQtAv+uIjyRWaTELcZqqkCYLHidTl7YN5gnH91ETk4OX331FenpzeLsfekb0vk0NMBHHxkMlH37/mKQzfWELVu2EB8fT1JS2zw9R4t166Bv36ZMyPDTJTSGUHr0aGovrB2mUhrcOEE9ia7SQXsc5tm/L4R4EYgVQvwBuA54OdSNQ8nGOZwCi09K+Tsp5SAp5fAguf7h9pEvpRzUYnqDlFKRUr4W6oEeM1JTQdeRZWXhZ7yEJs9e5uV1SqqnR7dQGLgBrxd8ns0oMentb9QBuPVWcLlMfPH6SGyqRqLFhVXVUBN6YvVXUeWzE2NyMT61gLP0D+nnWkL6hqcIfG300ZsmXoc5cyT5G/fzn0dXk5OTw9y5c6moEZwetwXpc2PuF48alw4BH9bBA9AbAKkR2GO8XP46U+eJWRu44Io+vLV05AGG/kgwZ44Rbfj9dX8hJfkHCpYJCn+20tDwVtiMr5SwalWT0wt0gvFt7NgJGvu2snFW7qrg+SWHr3UICRUVRi90kCa1y4RxoEMFx8MNKeX/YoTA52PE7e+XUj4X6vYnDuvluHFw//0EoHOMfffuYLUidu3qlPb6WP7Dgo9OJjpaUlYx6gAxk3BizBgYPLSE954Zj3DrJLo2kVH6OSWBBNzmBOIthkG21edTmDQZNamPseGkGzgjZi1Fvni08l08/0QKixYtIjIykuuuu47np9zHO3Pz0Gt8eLyC9d/vZvO2AEs+2saCr9fy1weqKIk0OmOvm3Ueb342iT/9+1J2+DKP6jxcLoOna+z47QzvacT4hcOOMvJ3CIu9w439bv9NgJEk9thjcF2Lgvewe/Y7dxoV5S2M/eGyf55cvINy5zHmxEdGwqefwvnnA51E9BYKxHFXVIWUcrGU8g4p5e1SyiOSqO86ZxFuDBsGw4bh37MHU2cUVakqZGcjduzonJcLMHHwH/H5YMOGOH73u/C3t8v3J2q0CK6+/izuvGUy/318Co/fu5lA8Q58KedgD5RRZ3Lg1OzYCtaTn3QKxKThHXw7fZQSkiIWkASQaeS8n302TJo0iRnvX8umhWtIFnko8XY2r6tm2o060Gh0FpOcnEy1eI3MwA2MG2khyb6Qzd7b0PRo5u59uCm9MlT885+G/vYHH/RHKypgf0MsakJ30tQ51Fq2HZNxKlgi6H6GJO8Fgf2M7vi3FaDvhfyUF7FfNp1rrnntgPXDToS2bRv06dPEjdPWl8Sc6SOJsB6jmbDb4YLWRJZ+bQjkcZCNI4Rw0ly31PJGFICUUka3uuFBOHGMvZRQUYEsLUXNyOicNnNyUH/8sdUwzp53BD1/27HeTf/+kJYmWbOm4zONDka591IQSWRZy+g3oJLzfruat545natG3EXfbhqxJhf4ILF0CfsSp+DpcQOXRM3k6+p7qXGbOSXyNQC2em9loPXZpv0+nftPYgfn8Ork/Xg3bEavgr5njueFvy9H2I1aNUe/T5k4cSIRERFAc9XtIOszDLLC3PqHj+hctm2Dxx/3c+El35N28nuoynUEpEI3kxEOPRYB8MIfTfj3QF6uUdzkXlKA4jBqA2xjRrP80zSyelxNuvtdTFlDSU1fHX7B8c2b4aSTmibbCuPEOjqgwnTzZigsNNKfO8nxCQUS0GmnXqZr4CQp5TEnVZ84YRyA3r2Jff75zumgBRgyBHXfPkwHceTsesa4wYp39mTXM4J9izrmhhMCJk2SrFoVR7hDosJkJbLiF/y532BVAjzx2L+Jjm7gLw+9hp48BNuuz6if/ykN32wis2whvezlLK2bQYajjsvSH2Cr91ZWu+84wNADTOu9h9EZ1Wjlu3COuQX7+AuJ2LWcG/9X8seHJJffLklJaZtY/ki8ep8Ppk+HiEgPDz/zATWBCDbXpRGQzUbpaI3vnncEvlyNQCkoDoPSwZIDItIouNKkmRtvmMETD/8WUzeDKqHcfRGV8rnwefb19QbHxZAhTbPCzo0zZ05jAUH42jhKaFINafiV8QGAEOLbY9lJ17v64YIQ0KcP5vz8TgurNHIKOHIP5Z/RysG7Lp+IC0LLFAkV556rUV9vYsWKDt3tIQiUbkd6nFj6noGGwm5Hd/7w5Ods3jqY+2fciCl9MGoKRE6bgJqWg1WrJd1Wy9ryRD4ufYBVpa1ntqytTGVC9KOIiASifnmOJPtHZE4On5d7551GB+krL0cRlftf0ooXMsyRSy/zC03rHI2x336vwLfd4O2xDQXdY9A6WPqNw9wzBlOayk9fRFJdGcUpFxahxKSj2KJwmxOwURc+47t+vfGVO7xZ3S7sdAm7dhlhoxbppp2ixtUOpBToIQ6/MhQhxAygrxDibwcPoe7kxAnjAPTti+X77/F3lrEPplg4Nm8+YHaf2ySFqww+W608v0ON2ZlnBrjxxmKys4+uozJUpKavpmCZYGfSRSAFaRENjD9/Gztv/p43nv8TgybamXz9AGJN9dgVH0nK6yQB0foQ8MJy08VN/DSN+E/eo/SM1SjJH0igeAfWIZMpd1/UqlhLR+Dll+GZZ+C22+CiiwAkxbv7UU4aLV9FoRr7jVcJhrxtrNf/Ycm+RQJLP6NQyXKSA722GHQNNSETJTqFr96+BavVz/gpW5DuGqPzWkKcdRZFehFFm5JIH9xejeIRYlWwtKVF+k/Ys39ycw8IG0Fz+mWnkBK2geMkjHMFMA3DXodcRHUwTixjP2AAlvffx9tCsSqsSErCn5mJfcOGQxZljAoP/bHDIbnuuhIyMsJr7AG6ny6x1k5hvehvxOgdcP/sD8nfkcTdt07HH/0OM64+sKe4kdvnslb2NyjZiS4Fakp/diRMxaZqZOS/DR1Q2FmybwhqxjCks5TkmK+YPx9uugmmTIH//V/InyfAAvvPvos05UCCoVCNfaOhByhYIXCcdRU1WjQO1YvZV42amgNeJ9VqGh6/mU8+PIXxU7YwPOGpA/ZTrVTjrHqdpJ5plOvTSVJeP/YL0IgffzT4qRvV4gmzapvXa4SNLr/8gNmN6ZfmRm3LXwm67PrBDSllLjBbCLFRSnmEvLbN6Ppn2pEYOBAhJeZdx5g3fATwjhiBfc2a8NJRtoBRjq8wf75BedyRWNSKUdBrixC+Omy7PqObtZJ4az0fvPBHRo1az/3XXsndL33Qyp5aR5nLyoToRylVutOn8A0yyxailRQdst6RGKey2ils9d6KqdsQtH2rSI75ivfegyuu8DNmDMw+J5LCDwVqmkGXHGXyYlMOdAaOpcPUkfsBavkWpK8Bp2an4ZuPialaQ+HmBKoqIpl61S8UbetGuT6dwp+tFAZuMLJxPEbmkXfNB5TrHUQUKyV8/z2cemrH7C8UbN9u5Jfm5BwwuysUVjV20IYydBGsFULMEUJ8CSCEGCiEuD7UjU8sY3/qqeTdfTdKZvi93kY0jByJWllp3PRtoGBJx9xQjWLjf/pzDffft7xD9gmGpzp4Y+Ih81MzNxKwxKEm9ICy7ZiVABbnZuZ99R8Gj8tn9o2X8vjjob3rLkmdydK6Gfh0Ew29p1KfPgGt+uiPed9igVa5h7j9i5C+BgJVRcyYfgdXXqkzfNBPPH9hNA7pwr8frEMnk32XZIjtadLVOQfs52iMfffTJInqW1gGTgZFxfX5IpSPX0SYQE3qw6AR+1j701lMtv+Zhq+L8G1aiCmtHzbhoUx/AEwOvBs24dvkxr34jaO/CC2xc6eRXzp+fMfsLxQMGGCUCJ999gGzu0ZhlUCXSkhDF8FrwCKgsWpwB/CXUDc+scI4aWkUn3ceWWlpndaka/Ro48e33zZRyoYTUko0FnPlVTt47unLyM9vqp05ZugeV6vz7SIDYbIg7HGU+mOIzrkIu+Ln2U/m8N8/P8o99xi896+8ArGxbbeRaHVR67dT4bGT4aijz0WhG9m9nwnUVHtTiCxzkiR/nsF/73SVcO+HL/H5yss577T3ee6VJ1D3Osmc1P7+j8bYl7svQneWolUXgK5hG9MXNdZ4Rv2lebDpJ6KrQUSAtwH8uVWoY7rh+uJtvLmp+FOvghiDtrnD+nS+Cxa5n3FGx+wvFFgsBqXnQegqnn2g6xjyUJAopXxfCHEPgJQyIIQI+SIeV2faETAXFqJ+/XWntefLyCCQlQXttGk9aUKHtKfrOkJ3c9XZjyIEPPts+9uEgu6nyTb7GZLjl+Dd/BUpegH57kT0vGWcFv8ob78NTzwBCxbA4MHw+edtt1Plc+DXFQZFF1PmjQz5+PLnCfRqIOCj8MdmH8a3B5atnsz5j23kq58u5o7L75We+oUAACAASURBVObl12diKl2Nbyvselqw+1XR1GHeGo7U2BcsE2jlu/DvXYdWVoC531m4u59BfVQ/hD2OB59+gOlPbsQ0chDCBNZBoDeA67NN+HeDJVNDOEyYMmJQO9Iv+fprI16fnd2BO20Hzz4LX3xxyOwu49mjhDR0EbiEEAkEC6uEEGOAtjm7W6DLnEVnoduHHyIuvZSwJ6IHoWkavokTDc8+yLrYiHLvpU2/k+OXHHNb+wJ/oNj/GBERFzPq7E1cfrnKyy9DVdWB61Vov6Osdsoxt3cwMkY1kGT/iPFRj5GWbegpCAG33w4rVxpiJ+efD1Onwtatre9jQEQRfSNKKfLFH8Cf3x56XCFRgyk0er1G/jzBl3/tz12/SK5/+SusooH3bj+Fa7vNxjlvG7Wvg/SAsIB0t91hfiTGfu9nAnPWAOpST8PSezT+MTdS7Iunl/kFolQ3++p78tZLpxOl5EHlDrRyQ2FLTTCETqxDQZgCyGAtSChfHiHB54NvvjF6pFvp8whLIZemwT/+0aqx7yqe/XEWs/8b8CnQWwjxA/AG0Kp2SGs44Yx93YABBr3hQemQ4YKmafgnTTLaXHLsBr0tZJpeJlm5symd7e67DaLBPQfp2EiPEzQvRVrIfTvHjFGjjNDt448bl2HQICNB46efDoznJymvk67OOSQtMxRkniMJlGv8smAUf378Hc5/ZguLv3TyyCPwwZSh9K/+BVO6oW6lxoH0Ayr0vrltIxeKIcydKQw6hPGTUTNH4ZMm6qP6YREBYk31Tef2zp/s1NfZufH0WfhzfZiywHrSOJRYMPeBwF7QSwNYE8+l27AOlB1bvtyQwwry0xyMsKRfbt1qFHGdfPIhi7qGZ89xE7MXQiiADTgdGAfcCORIKVuXrmsFv/5ZdDLqGrMCVq7slPZ0XUefMMEgg/rkk05przFbZfBg2LEDRow4cJ2kiAUkxy85pCMy3LBY4K67jEy8O+80FKHGjjWKOR991FBsCsW5dNcsOMD4SmnYlccfh8nXr+fS539hWe553HDOk3z3eG8uahDYon0Iu+E9CwXM6RAohd43HXvMfvu9xvUOFIH0OqkONIefFCGp1wzu4upqePnz2zlzyAIGDViPEg3m7BHotUWYuhnFdUocqBH+ji84+vhjcDjgrLNaXRyWKtrGZ+yUQ4WUugKn/fHk2UspdeB5KWVASrlFSrlZSnlEOeQnVgct4ElJgfR0Q537T38Ke3uapqE4HHDeecYD9/zzTQRUjWLTHQld1w8oVFEUcLuN9OqJEzu8uaNCUpJhmP/xD3jnHXj9deP3P/4Biam1jBiTxynDh5OdbZCHJiQ0c70XFv+eDfkX8cPezygsiGHP0gbWbD2FsgojuD1mzEncP/J/OL/328RlO/HtBmkBa3/w7TYMPXYIVAbFwEPA4Yx93vMC9xpwjIdAofEiUaJSiJNl+E3RmH3V+LZ/hyO3lnzlOZ56eyb1nvu49fT78Kw19HTdP65BjQclEuxndce9rADNGaDB/gPQQSmSmmYQ9Z97bvOFPAhhqaJdscL4tGzUzGwBk8mEzxeCQG84IcUBtBjHAb4VQlxMs0LgEeGEMva6riMUBU4/3VD4kLLV+GVHt6mqKlx2Gbz3ntHuYbyrjoCU8pCqxPvuM/rJNm82RDJCQSNTYzgRFQU33mgMhYWGp//hN3lsW5XBosN+BB2YhpiZvIsxOUsYYV3KxLO/JCVQSKDMyGLx7TLi4ZbeRlxemECrMmQM+z8s2XqLYOttol2d2NaM/c7Zxn0TcVYz742aHEP9xx8TKICI36RDj9H4NtWiOwEVpvd6gn7TN9A/eRNardFfoHtAVoDiAufbBdhPA8WpgezAR3P5cigpgUsvPewqYQnj7NljPGutPGNdIYwjoStQIRwJbsSI2weEEB7+j/Xy8NA0zSBBe/hhiIgIu6FvbFNRFMOrio6Gt94Kq7FvGcZpxO23w0svGUIjX34Z+ml3hsFvREYGjLn6NiZO99LL/AIul6GxsX+/Ef5wu6FkwXU4Et34Us6kX8Q7ZDp/JuliSf2HbjCD4gbMMOBJydbbBKYgX5q/0BAlV2zg22eEcHY8LDD3gOy/H1kYJ/d+gVYNSgzYBoFWA6buECgA/65aAuWADr4NRdS++jG2wYADvBVmImNcnGn5GOkDXx7Yh4MpCVCDXxkaKLF2pMcN/g68N99+2wgjHiZeD2EK4/zwg/HHtYKu0EHbmI1zvEBKedRUCXCCxeyb9Gd79WqSSAs3mjx7m83w7j/80Oi0ChNa8+xTU+Ghh2DRInj//dD20/0MiRIf3zR9uNTEY83g2O2/iV0+I5zm0S1sqzVSaiIijD6HIT0zGe0VjNkguPzsuZzbZx6j+m2nd9R2ut09zjCMZsNoarVGp+v2uwxvXXeCL98gI1Ns0H+2ZMi7xvH68kMz9NBcsbv5OkGgBHQ3BEqg/htj356VUP8l1H1hGHFvHng2Azp4d8Dnn1/Eef/czN78HuhOY7m5e7D/wG58Gei1RkexGpuCEg2W+OFtH1SoaGiADz6ASy4xYvaHQdjI0NoIG3UFz17TQxv+f8AJZew1TWtmvHznHZg1q1PabDK+11xjSCL9v/bOO0yq8vrjn3OnbGXpS+8CShPFLip20fCzxRJb0CixJWrUINEotmAJQUVRiRq7xth7r4iCUqQX6X2p23envb8/zp3d2d3Z2ZnZmR1g5/s87zO3n1vmnvfc857zPdFq3DhQ22cfxLXXKvfVn/4EW6Pk1jKectZ9J2wpOBIC/hrx66FoDLdKjqOCFk47CapyLofkLKxat/IZofiVdRo/b0fOODup+yNjgEYVlbyrvu9AMVhZtlvE1iH73q/KfMBkUzUNavkPeir6TkpE2PL2eFzdwZEPxq6hIpYq911vg7gg53D9NZVQuQQyBkJpxzbc/fljZGeU0Ln9OgIV0OZaB+3uOplW1x6Buw9kHuKg71jDuu8EHAngjw/F669DUZH+9yIg4W6cMWP0k7Ie7B6WPfiNRNWigYicIiJLReRXEbklyaceM5qdsq/isv/hB7j//jqx74lGlWUPWhpxv/3gySeTKi+c8nU44JlntMBJNB8Waz8TArvKcXbsCYC4s/Ct8bNias1jG2Mapew7WM/SwXoWAP+OtQQKlQsnyPnv6qkK3NlZlTwB/a2cJ+x8dIaeQ6VugwX+AlXmQcSi1OvDuim/wWpj4d+pvn/j03EA3w618lscD+6+UPKlzmcfDK4umih128NTKCxpw4SzLsWq8JM5GEyFn8q5n+BdMQMTMkZpSsC7dBndjkmg6+zJJzWJqgGKhIRa9h4PvPKKGjb1YLeIxjEkjOJYRBzAY8BIYADwOxEZkORLiAnNStlXuXFAfejl5UmPfa+hfEWUanHmTJg1Kynywrlxghg8GL75pqoWekR0P9EgTqj4aTXeFTMIlBRiAtBnTE1F1FhlH4pOvZfSoaOyt3lWQsUvUPKZxsWLC3pfZvCuBX+xwfhUsRPQkMd97zGUfgslM2OT+X13YVpX4aus+q/B0cZP8FUxPsg+DLKOAEceODsGQy4h90TIPkQHhf074KUXL+XjX8/jT8ffweDD5pF9FLj3Bcl04OzcE4Dsk0+m6+HVSq/7yAQq+rlzNfzxyisbHKhJqM/+m2/Uojj11IjyUq7sAY/fiqpFgUOAX40xK40xHuBV4PREnq+IvBDNsvrQrJR9DTfOsceqY/idd5Iut4Yy/P3vVW6ieAxqoT43TvW56IDnBRdAGOblGnD12g8rGyp/8dPtKBO2jGKyyucNeFg7G1dHtab7jlU53rWAD3pdvZSBUw37TTQMnKrrHG0gK0r6oRlDhG9aCeIE/NBqBEzvK0zvK8w9Q1g6Xph/sT63rhd8QusjbmHAw6ZqLKDiZx0fsHIgc3+N9DGVWoHKsxJwwqerzuWg1l8y5pQHwKeWvqkE4/FT+uFquh7uI7/lx1XusYQqetD/WHY2XHppg5sm1I3z7rvqqz/++Ho32R3cOMYI/kB0DWgnIj+HtDG1DtcFWBcyv95elkjUoA61vyaG1bNtHTSo7EWkm4h8JSKLRGShiFxnLx8vIhtEZK7dTg3Z50H7hhxjz/cUESMifwrZ5lERGR3tiSYCPp+v2o2Tmamp4++8oxSsTYWWLeGyy/Qzd8OGhrePEcEviVAqhtrwetX4OvNM2L69/mN17LkIV592uHrUv00iLfva2G+iqWpBDHrGkDf0d3W2/aG/UDZfre5ocOg8gzNPLXVHHpQthOyB0OIwdcWYchj8gmHhGGH988dT8P5E5p4hzPudECgG7wqNxjHl4N+uXx7+7eDfCRn9QBww5exRTLnqbCxPAN9W8K7UsM+KHzWaJ8jJ4+p1UMMnHCs2b9YonN//Hlo3nFCQMDdOIKDJgyedFHFAOOlF1aNEwETXgG3GmINC2tSmOkcRGWcXHR8iIkV2KwYKgKit1Wgsex9wozFmAHAYcE2IL2qSMWao3T60T2xfe93RwDUhxykArhORBI9ARY8alj1ohELPnrBlS9OeyPXXa6LLww8n/NBBy97rrD/0Nj8f3nhD+5pzzlEXa33oPHhrgxZnUotfAPN+1/DxA+WQc6BWAYsWR641ONvA4UsN2YPtOPxicOXrgO+KqULm/mDKAjg7WmQOgsyB2kFkDNGxA6uVRtQYr44rBLKd3P/GBIoy2uLw+MjaopQHVgsNr/SuUzePuHWw2cptjQn4KNh1Ytz3Jyweflj5n264IarNE6bsy8v1vYriayLVMCR0gHYD0C1kvqu9rPHnacwEO+zyQWNMnt1aGGPaGmPGRXucBpW9MWaTMWa2PV0MLCby54kDCKD3MvQubQW+ABJUiSF21LDsAc4/Xwdqm5DyGNDQz/POg8cfr8tS1kgELe2GqBAOO0wph7/6Cq64Iv7aKsm07IMIhktGwpFrTVTb1cahcw1zThMdA9ihCt/dB9z9VeG7+kHWwX68my28a8DRTpu4lZ7Y1QPcvTRKx78T/v7yE/z7q1uYsfMEMgeqgvfvgMr5OvbgW6/7ONrq9s5OA7CyW5Pf6rM65xa3i2znTpgyRYt8R8lwmTBLOycHJk1StrvdHYZY3DgN4Segr4j0sg3a81HSssSdrjHjRKSLiBwhIkcHW7T7x5RUJSI9gQOAGcCRwLUicgnwM2r97zTGLBSRbGAacHOtQ9wPfCQizzQgZwxQ2yfWaHi9Xnbt2lVl4Qebq6QEq2VLHBkZOBwOnE5n1TrLspKjzP72N3XlTJqkQfAJQqjPfkvBkXTI/x7Qik35LT+use3FF2uS45QpauV37Rq7vGQq+3m/Eyw7THvQM8lL7jrgA3XXZA8HRweNf3d2bYnxeXC06kDghwDufhZZbnD1Av82cLQHUwqOTlD6IZT9BI8X/YM3F/6BK/rcxWmD/4tvs4ZnOtoALsg8VJk2AzvBv0o7C3Fl0z6n7pd4UPnW+BKNFg8/rOGWt94a9S6xWPbGGAKBAH6/H7/fj8/n02mPB+uHHygfNgy/MXXWV21nT1dWVsZ+bQmEAbzRDb42fCzllr8WLS7iAJ4xxixsYLeYICL3oZ3IIiD4sAwQVZWiqJW9iOQCbwDXG2OKRORx4G5b2N3AROAyAGNMWNpNY8xKEZkBXBBJlu0Pm2rLTdhbHggEyMnJwe124/f7qaysxDV7Nh0vuog1jzzCrkMPrfozhrZwsCyrRocQ2nkE5y3LorKyklWrVtVZbnXoQN7pp+N+6CFKLr0Uq0MHXV6rxapI64vGqa3og/j73zVYIz8/PvaIZA3QgoY2Wlkw9O3kDwwPnGpYervQ/xI97oY5rXB1G8KuKTPIvuIiSrb1J6t3G/ybd5Azqg3izsRfsBFToUr8sU9u5alfxnHOvk9w7bA7cOSp9Y4X/EXg6gTeZYALPMuVZiFSUZKGlH1Q4YY2v99PYNs2WvzrX3hPO43Czp0JbNlSva6eX7/fT2lpKeXl5RQWFtZYXp+1H/p/D7ZWP/1Erz/+kbJHHqFy5EgcDgdut5usrKwqAyrUkJoxY0aTfBnWB3XjJPB46squy+ecOJwJ9DfGxNVLRqXsRcSFKvqXjDFvAhhjtoSs/zfwfpQy/wG8DnwT26k2Hn6/n/bt25Ofn1+9sFs3yM2l17ffqtaLAsYYrQgVpmMIfZG8Xi8OhwMRwev11nwpAwF2jB5Nv/feo+y221h7ww1hX96GICI1OoeSkhJ27tzJmjVrEHmEjRvmVHUawd9w00VFwn33tSU723DDDYVYVs1twjUAj8eD1+tl+/btVctCf2svq72+9rrQbfZ9S+O0y8pqcs37/X7Ky8urFGFNBszI06G/tafbXbeNbdu2YYzB1WUZO7ZfizmrAwVlA6kozaFgdX8k14I1DgKVFrj2BZeD8rzOvF1wNScf8CVXjviEXa3OprDSgSmzkCwH5DuxWjrwbnAgWU4CvR2YNU7WfjcBd8bxYRV3SUkJ06ZNi6gIQ5970IjoNnkyLUpKWHXppXi3bKmxLvjrdrvrLC8uLmbHjh3079+/htESk8Hxr39By5Z0ueIKDYBoAMFY+5QVHY8hYWo3wUrABSRH2Ys+6aeBxcaYf4Us72SM2WTPnglERRBvjFkiIouAUaifq8lQI6kqiIwMjUN86in1dUYRuRCqJCP9UT0eD+vWraNnfXUBBw2C0aPp8OKLdLjnnrDsgJEQVFJBBWGMYcGCBXTq1Im8vLyqZbV/wy3z+QIUFzt5+ulciostbr11OyK+qu3ra16vl8rKSjbYkUX1KdXalnjt7WpP1942VOHs2rWLX3/9tc6zjNShBKdDl+/8fir4A7h7QYseV9fpyMo5iJyMUWSWV1Lu3UlgnyEgBu+8LTjaB5BcIeD1kblrE89O+jM5W3dgebxYTj+uzgFKP/OT0cePlPtxeH14N/qxnH6yhvkRfHQ9YFGdzjo4P2PGDA444AAyo1CaVVizRrOzL7mE/mefHf1+9v0oLCwkJycnpv2qUFioo/6XXBKVoofq8MtUKXulS9ijlH0ZMFdEviBE4Rtj/hzNztFY9kcCFwPzRWSuvexvaIbYUPSerUYZ2aLFvcCcGLZPCOpE4wTxhz8o9fCLLyqfQALlRYp5B9Rf/+qrSvD++usxHT+00wnC4XCQnZ1Nbm70Jf2CeOUVHat++OGW7Nwxg4cnT6BH98hJZ2VlZXg8HoYMGdLg8TfOb0+gopSuB5exYqrg2wj9x8f+HT1r1iz69etHixaReaEWXCYRff0rZj5O5ULI7Q/dhzxRvXyq0OK3I6iY9TWmYizZh12K338NPYaWUPj0S3jXgm+zm79P+w+unCwevPIsnE+AvxTcXSBrGJS+Ba07g2emDszu/5Fh1fOClQeOTm66HhrZOItrwPSWW5TTOo4xoEYnVb3yikbiXHZZTDJTmVi1B7JevksjBn0bVPbGmGkQlr0/at+UMWY1MChk/hdSkNBVI4M2FAccoMQxU6cqiUyCfIgNDbCVVPrI6tgJxy23wO23a2hMI4tBN5RUFQmWpePFnTvD2LEnsa0gh5fuFHqcVL/CjMV3HqgoxZSUs/YTgUA1h00iMf9ioewXyD3MrkTVADJq9VErHtMC5Tsf+pqckQ7IhZ3Pf4o55moqTCZWLux05vOnF95g1vLhjLtpIlarLNpcV45vg8bSZxzowNndT9FrOuaw/+t20lcn8G+FHg0oeohD2X/3nRoNt9+urskY0ejQy7fe0sLiBx8c9S67Q2LVnuTGMcY8JyJZQHdjzNJY9292GbR13DhBPPqo/mETOFjUkGX/7bKtPPzFciWM6tULrrkmctB7FKiPG6chrPVdAejlBz8y/nzDkREVPUQfjbN57RCcHfYBS+PMXb1set9aWD4xvvu/6GphzkjB0UIVrKu7JkUFseKJmsddfKN+WThagfdXWPO2ctsD5JzSkqzDdbuiF/x41wYoL34fx9rv+GnaYZz5r1ksWn8QT079O1eecBPdDinDs1hpjnNOa4mV25qS9zT239VDvzA2Lu6Ct1Z5yEiISdl7vVqIp3t3LQUWBxqt7N9/P+b3J+WWvQGPX6JquwNEZBQwF/jYnh8qIlFb+s2Oz75eS/vQQxMuryHLfmtxJf/+diUXHdad/MmTlW/8n//UsMw4EYkbJxKyLA9bAqOrSMlCXb5PP61MmTffrIRqteVFo+w7dp/HppX9sVq1wbt0BzhrJkAtmyCIZZOdRYll99j+d5fNKV+oyUs5hymNwa+TlJJYsrQDCMrwbqTqy6JykVIcALh7g7ML+LcVYrXLwsrMofVNbfA4+1CyxMeOT9Zx1QvfkZNdwtuPjqR/5tdYbbLYuLgLVp7NdjmnEO9qzZB1BCBzCDAIxOnG3Z+oSc4sy4r+q2nSJK1MEyw9GAcaFWcfCIDLpQmKMSDVlr1BCOxZPvvxKAfP1wDGmLkiEvVAX7Oy7OskVdXGsmWaDLJmTULkNWTZbyuppNzr5873FmFOPVUzD++6C5bG/IVWhca4cWRX+Ov+7jsYN06pTuoUL48hdM63ZpkqeqiKn686TqUmHzmiKDNQNO9FVj06gKJPoehTzXr1bbSPE0AVuUc7Dke+zgfKlRbBeJW8zNXVpiq2b5V3k638F4NnAXgXl+Nbv42yz5ex7sf1+DwB8i85kWdfuo3PvruaQUNW4OrXDXG6Kft4I54ltnwPOLtCznGabeu3a4Z36rsqJjbLqJXvr7/C+PFwxhna4kTclv26dRpY8PnncclMKRmaSSzFcRPAa4wprLUs6h66WSn7BhVTVhZ88EHCSMoasuy3lajv9oN5mzjr8emMO+ZyfFlZOsgVp8UTrxunvfUc+W3CD8b+5z9Kjzx7tjJnPvSQZuIH0ZC8rYHfsyUwGmePfgRKAGc16dfqV4UVjwmSoa6XINnaqueFVc8LC8fosYNFvUORNxKyD9DCJFZLcORoJyL2fKDE5rlvqZw0/iL9CsBvM2la6krK6KeyrRy0upUFvk1QOtvi+S+u5ZTR03nn/cPxb13OsF5v0b/fx3Tuv5aiF9ZR8lYh+9xg6H+XwWqh+xKAirmaNNVnjKHn+bEPQluWxa931i3UXQOBgAYXuN3qhmwE4lb2kyerwt9nn5h3TTXNcTAaJ0EZtE2BhSJyAeAQkb4iMhmYHu3OzUrZN4hu3ZTGYOpUDcNsJBqy7NvmZFS5OOeu28WXRQ6ePvs6paWdODEumfG6cSJBRKlOFixQWvQbboCff66WFwlrfVdQGbBD6/werGwgZFii5/mGPtcYTCVa0s+Gf7s2Vy+tPOVZoRz3C8cIxqji9m0GvKrQne0hYz9NZMoYiLpVvKrkrRzbym+tXwEVC6FsFnjWa4fg3aBZrYFS8G1Rt8/sjUdwzhMzueu1yRw44EcOO3QZFTMX4+hQXcQ3UAj979LrX/ms/SC9UDkP+o0zdeigY4FlWZiMBrysDz2k9WUfegi6NI5gUeopqh4RhYXKl3/OOTG7cCCJ1bFiQKL47JsIf0KZLyuBV4Ai4Ppod25WPvuoMHasVrGaPFkjGxqBhiz7m07uz9XH9qGk0kerLDdupwXmeNg5H267DU48USOFYpSZrIzE7t31w2fmzOohjmefddGtWyYH1lNFz2f0+q2lH2EqNEnK2cPBhl/a0mV/pdxcNsG27HvA0vGiPPWoYga11t3dddrVCywnYGwF3rFakUuu7R6ylI3S0VopkQO7AJda8lamdgIOmyeu+BMtNBJ0/1hZMOXLu3n889vokLOeSRefz2/O/Ii11g048qB82nTWuISyb/ULYsVjQuZwLd9oyrW04PKJwvKJEnXZw3AQEXr8pS5fThXmzVPf2umnK7NlKjBlitIyxDko7HQ6Ka+nRm1TIEiEtqfAGFMG3Gq3mJFW9rUxZIgOlD78sJqwDcRyR0I0cfbZbifZ7pDHIKJfFkOGKFHbrFlaLDpKNMZnHw1EqhV9URGMH59JUdF+XHCB6p4BIbV5tvkvIs8C37rZkNMW364t4IaMA8+k+KXXYX/drt84w8pnRf3sTq065S/SdY48pU1wdrbXlaqvXVyAt5o9smKOKmp/oVr2eNVKB/1icLSF8tnagTjbgWUTmWXYPGErNventXsr2et3MHDD14zp42PMqQ+Sk1dGxcxcfH0sup2uynv+xYK49JjGp+Ube48OUey+av79eBHRZ19aql+grVvDv/+d0AiyqFFWphmzp5wSs0ESRMoHaI0kjBsnmRCR99C+KSyMMf8XzXGajbKPiYPjjjvUhG0k4iayattWuciPP14pHF54IeoXOhlunPqQlwczZhRy771eXn89nxdfrA4oyulzOZCJu2gFkt0a75o5eJf7MT4o+s/r5I75PQsqr6PFR4/gK1Df9tLbBX+hul28mwDLHlT1qUvH0VJdNsaj1rkpB3c/9a+7Oqv7BWwX0A6NunF1VAvf1dkmJavQiB3PCnC3h+9/OpYXfrmObzaM4rK+E7h++G0c2u4Lhud/gX8BFBWD1TFAoIvFousEq4V2NIFycGaEp1RurKKHCNE4xmiY5dKl8Omn0D5M/GpTICtLE6natYv7EKkeoN2DMmj/mYiDNBtlHzHs0saWogoe/mI5/zjzIE2yagKZ9WLECI2yuP12rV179dVR7dbUxFLt2hluvHEzEyfm8+ij+lGSlQVdnU8xbfafya6E9r7pODv2xPRajSmrJgDrkAGcoZz+q9+sPmdTqUyRvm2qVIM+dywdSJUcMB7BagO+DRqJI24dgMoYCp5FGg0TKAc8qvyNT1012YeDdw38t+I6Xpl6Fas296d19lb+OOweLj5qMg4nZAKeDer3dwTA2TaAEQvvOtj/zeQRv4WiXst+6lR4/nk1SE44oUnOJSxEGi0/1ZZ9MBpnd4cxJiE8Ys1G2debPWsjEDDc+NovnHdwSPbh229rYZM/xsIEEXrMAG53I2q13HorH7ZE7wAAIABJREFU/PgjXHedhsEcdVT8x0oSgtZnu3baN/397xqLv7XyHO687Va++HgIhxzwIyNP/oyR5/5Kt47Twh7Hv0mVcaAYsMDZsjo00rPO9sWvtzduZRAHONvabpzO6ss3tmJ3drZdPRZIax0EXrUKfpgGF5+vh/h5/zdonbmNq0b/g1OHvYa7sgKxwLfdjszJVHeSlaXPEbEINCEjr4jUVfbTpyudx8kn641OAqIyFh54AAoK9LcRX5G7g2W/J8XZi0hfYAJa0LyKgMgYE1WsfbNR9hGzZ4EXZ6xhWI/WjNq/c/XCl1+GDz/U+OUOUQSAh5HZKJeKZak755BDNMtp5sy4oh6SidrKoao/dWUzbuIbDBs6m3deP5zxE+5g/AQYdfp3vPu2brJpE3TsqEZioKI6FNK3FXCBs412AFn7qivGsodPrBaq3CWYjdsXxOnAt86PWIAbtu5sz/fTj2OZ+1U+Om8Jqwq1gFq3n7rSqdUG3vvJoP3wkcBzLLtHMFTLHzDFsOAy5dM3lQEMFgd80DRWPYSx7NeuhbPO0lHyl1+um92WQJkRv0a3boV77lGrvpHuwlSHXsJuFUMfDf4D3AFMAo4FLiWGiMpmpezr+xPvKPXw5Dcr+fj6WpbzvfdqVuIdd8ATT4TdN16ZUaNVKy3gfPjh6hCfNk2X7SYIZwmu910OuBjcewmD71nL9ddOYc3mgXz4SEva9tgFHEVFBfTooX7//feHLoFH6J69nEO6f0XftgswInh9LjIyPYhTk6NMebXCp4OTTT93ZFdWBzZN78qaX3uxelNfzu3zOPt0W8Knc07h1u+eJ9tVzEFdVnDuvo9zVJcPyZcNVCyCZVcLrq4amtlvnKHfbXUVeZBEzRjDrm+/Ze4Zep3h+PUTjRoFwIuKYNQoJRr78kto0yYpMoNkaOH+s0s3F+N2WvS6804dnL333kbLS7Ubx5jEFS9pImQZY74QETHGrAHGi8gsIKqwwb1O2RcUV9A+N6OOAgp143y9tICNuyro1iYLQXjhx9Uc2rsNLTJrUa327QtXXaWMmH/6EwwcSCyIe4C2NvbdV+ljTz5ZrbuPPoKMDDbOb0/nwVsb3j/JqH2vuzqfYqP/D+Dz4N+i2cC9++/iimv+hzjVreX3w/h/vcjCud1ZMr8LMxeOpqS0BTeffDM92y6goHNvTpzyKy5HJZnOcpwuLyIw7sy/cPBphl9m7c9F971VQ262u5hD23xGt/IlDM//gJdHDKNfy1/wb/BjKsA/B8q22mMCOzQiZ8CU6BS3MZoL4C9NwA1rAMvvFzIvWKtWr8ejmdWLFulXZmi4U4IRjHsPRzlsCRT8NJdeTzwBY8bAfvslRF6q3Th7yABtEJUiYgHL7apYG4CoQ/X2KmW/cmsJv33iB4Z2a8XpQztz/H4dyLUTU0LdOKu3lTL+vUU19r3z/+pR5HfcodTH11+v0Q8xDH422o0TiuOO0zTWSy7R9vLLu4Wiry8Rx2csfBn5uHxLEGcGlYs+Q9xZuPc9DtBSpZdf/CJcDJXzPsFXAAWr8rHKvWR4Idcq4oYT/kap5OHJzMJT5IIAdGu/ClPWhq6yijtOvYpWvgLasZ7unVbT+dACyqdreGaL0h3sU7aDQJm6e1ydwOqtytrvhYrV4CmA2ccJzk4w5KX6lX6wMzvgo+RY9Asu0+P7d6nbKudw27L3emH0aPjsM332Jya4KHkt1PiaqIW+HVrAlPs0DHj8+ITJS0jd20ZgD3PjXAdkA39GqwMeSww1vfcaZV9QVMElz8xkR6mHL5cU8OWSAtxOi+P65zPhrME1LPvzD+nOo1+tqKIrAOjTvp4Osm1bJZqKAwmz7IO4+GIdML75ZmjZUrMXU1TSLYj6BvS6O//NWt8VGG85/u3rcHbYh0CXg2lvF0LfGvg9pnwXktkCz2IdEG2XVYCvRAdd8ztv5ZqOE3C00ugb/1aNm7eyYV1gGC29uzj/gCdwtNZMWldX8CwBRwvlvjEVkOEHXDbnThuVUb4AHFngHqrx+/5y8K9s4psWgkXXCVhQOlPHKBytNHRz08aN5N95p9IW33efpjAnGQ1mtD74oIZ8hlZ6awRSVY4wCLN7ZcdGA78xpgQoQf31MWGvUPblHj+//89PrN9ZMxvP4wvw2eIt3OUfWMOyz3Q5GHtKf259awEef4ABnfI4vE/b+gXEmaGYlASnm26CXbvUZ5qRoTw+KXxpIkVvWBjEcmDltQOnG2fxWmgFW8vPIpCRh2/Lctz9jsGRp+GQzk5gNoGrpyp840F5ajaotY5fo3WkpUbMZOarUs8a7sZf4CHziCxMSTmBEqj8RROsALJtiplAKeQMV0vft02P7bcVfiph5eiXR7Cy6JxThX7dxpDz6quanRpnhmqsqLeAid+vA8L77qttL8Ie5saZKCId0bKu/zXGRFUdMIi9Qtlnuiz27diCxZuK6qy78NDu5OdlsnpHzdDLcw7qxsmDOmKJVLl6GsTkybB9e9SfsQkZoA2Hu++Giopq/pwUK/xwyn6b/yIyKovxZ7TAv2ER3sXrcPZoyfrBl9M16002Le+FZ+EOyr9Uv7vTjnjNtEvcODqBD42PDxSq8vduRTn+uoN7IDgzHRifH+PxYOVCxoAT8a6fQ7f+a7XoZQhWPKbn2G+cYfHNOu0t0C8Bh0vdOZKRPFdNfRjwcC15xlDQ2yLno6lsv+gi2k6Y0GTnUq8b57bbYPly/cqIxBq7h2EPpEs41lb25wJPikgeqvTviWb/veLJiQj3nz2Esw7swoyVO5i5agdz1+1iv855/PUUtUTCDTzl1R6QbQjz56vv9PTTo0oRT6jPPhQi+kkNqvArKuCJJzBNlDkbinCW/Tb/RQBUZrSHDR/gW+NX5snsPLo4n2Jr+Vk4ux5ATtuelH36NRULNPvVPVDdNQCS6QY8+NYpa6Vvc0g0TgA6DptHXl5e3RPqH/48+1xTrVT3e1Cnfzpc8O3QDsXdBQJFqvQP/LJpFX4VAgG45hryV0P5H//Ixquvpm0TduJh3Ti//KL/tUsuSZqib+pEwGq5e1w0DsaYzcAjIvIV8Fc0Eqf5KHsAt9PiqL7tOaqvpo9XePVPm+lSy9rn85GVlVXv/lHh/vvhvfeUgnjmTC3YEAEJ99mHIqjws7I07rmoCPPss01GlRBEuAHado4XAdi4tDsBlOemcgm0GtaNgsJTMC06UvnJc+x8WjNaxanWuylTl4YpB98aD75NYOWCZ7lSHzhsCuG8IYkh/jr4B8PMgwXfdvBsguHrm0bJL7pawAFYIZa9x6ODsa+8ArfcQvlNNxFYvz7SYRKOOm4cn08plNu2rTYuEoxg+GXEOhNJw55VvERE9gPOA84GtgP/BW6Mdv89q1uLAZkuR5WihwS5VFq3hscfh7lzIYrP66RZ9kGIqEvnn/+E116DU0/FVdoEsYEhiGSVVc5ah3eVH1OuCr1y1nRMZTFSvBn3wME42ygrpTjB0d5W+Db9sWeZKn3vWvCsgSGvGAZONVVWeaJwyE96vNINML1v07z4mYdA5rAQRV9UBKedpor+vvtgwgQshyN2yuFGoo4b58EHlYjv0UdV4ScBqaQ5Drpx9qDiJc8Au4CTjTEjjDGPG2MKot15r7HsG0LCrIczzoALLtAB0ssv1+rc9SDZDJRVuPFG6NABufRS9l+9WguXN1GmbSRlHyxEAspJHyiEDvnfA7BsiuDur7w27n5KTGYVg3sAdD/RQEjRpZ+PFn4+WrNZM/sAl89K6DUcsdI0maIHajJkrl2L56geuDc6tUrM6NFA5DDIZKGG4i0v1/ySc89VvvokyvT5fGRkZCRNRr0wexZdgjHm8Mbs32yUfUPcODFh8mS44oqIij6IJvNFXnQR3nbtcJ97rtIrvPFGk3HpRHON+95f10r171RffZCtMhyDJGgFKoCMXkpRXLzkWUyfu+M+33A4YnnT++m3PpdHm+uKcdMSPvxfjTj6uIqJNBI13DhZWVqaLFluSBupzKLdUwZoReQ1Y8y5IjKfmlTHAhhjzJBojtOg2Ski3UTkKxFZJCILReS6WutvFBEjIu3seUtEnheR6SIy0F42wt5mVMh+74vIiGhOMhFIaGRMmzbKSgmwYkVijpkA+I85hoVPPaXupuOOU8ssyQoj3sG1fuMM+95jKJsO2yfpfH1wdbJDE302E2ZJigZQG0CwhGJtrHlbWPN2yDpjKLy3E+2uKCaQDfzwQ52EqVQkHFV9TXzyiYZb5ucnzX0TRCqzaPegsoRBnfsbNM4s2ILzUSEaH4MPuNEYMwA4DLhGRAaAdgTAScDakO1PAmYAZ1Jz8GA9cVZYSQSSMgj0ySfQr5+yY+4GCAQCVPbsCTNmKLXCtdfCRRdBcXHSZDbW+jzwS9Ng9MugZwyDnlGf/QEfGVodfFmjZCYTy+8Xlk2oqRycvdrg7NWGtR8Jm2Z1gtGjaXnbZuSEkbgW7ghLPVAvn30S4XA4yPz8cy1I8thjTSIzlWRoweIl0bRUwhizyf5dE65Fe5wGr8IYs8kYM9ueLgYWA8GCl5PQ8J/Qf6UDjYYOoJ8ZQfwCFIpIcnO+60FC3ThBHHushmBeeimsXp3YY8eBqjGCIHna3XdrbPSwYfpJngSkKmxud4SzM2Edo1YLLfCRUZRLu7M2azGa8ePh/ff1KywMUmHZuzZtouPYsTB0aNy03rEi1cyXe1INWhEpFpEiu1WIiF9E6iYX1YOYTF0R6QkcAMwQkdOBDcaYX2q97J8ALwKXAGNqHeJelNMhQnFNEJExYfZtFLxeL8XFxbhcLpxOJw6Ho6rFrazcbo2COfBAHcT67jvIzGx4vyShhuK1LE2GOeooHVA+7DBV/jfdlHA/bFrZq0Xv7KjFxrOP1mVbCo4kULINMRbZD+2g1YvgzwM+/1zdbBHQ5Mq+spLWV16p4ZavvabZ2XHCGEMgEMDn8+H3+/H7/VXTtX937txJdnZ2Ai8klvPcszJojTFVNVJFX7rTUW9LVIha2YtILvAGWs3cB/wNddnUPiEfcH49J/utiCAiwyPJMsZMBabachPyLevz+Vi3bl2NP1qwhUPtDsHhcGBZVtj53H/+k3ZXXEHZ5ZdTOmlSVQfi9/spLS2tsa1lWUlTjmGjf445RotT//GPcMst8M47GvXRv57soxiRtuxh5TOCo4Py9ji7KZnZum8E935H4HttGe2mQtYq4MwzcU6dGlUpv0Qq+6Dy9fv99f7mjBtH9qxZLL3nHjJcLvwrVlStC7ba88EWzt0U+p4E36XQdyo4nZmZmUKa4z0rzj4URm/62yJyB3BLNPtEpexFxIUq+peMMW+KyGCgFxC06rsCs0XkEDvDKxLuBW5DO4wmg9PpZOjQoVFta4wJ+6eu74+/a8QIuPpq/Lm5bNuyBb9t1Xg8HhYuXFjnxYoEy7KibiJSY768vJzS0lLWrl1bta5qm8ceI/P448n929+Q/fen4qabqPzzn7EyM7E74Br7NNRC79XeruyNMVX/iYVX5uDoZNH3tl1Vy71ZbQEHgQoL085BxVoHUmCxzxfHk3HfD5CdR9Hke6g45xwCPh+BjRurFHDwt/Z0IBCgtLSUBQsW1FgWqUVCbYOj9m/OiSeSkZvLlqOOopsxuFyusAZOuNaY529ZFpWVTVgCLAR7SjROECJyVsisBRwEVES7f4PK3v5ceBpYbIz5F4AxZj6QH7LNauAgY8y2ho5njPlURO4GOkV7kk0NEcHpdMY2oGsPaHUA8HrxAuXl5RxyyCFRH6L2yx6uhdsmqIgqKioQEXw+X1hFYo4+GuvNN+l03320uvde5KWXWDt2LMUHH1y9TZhWe10oPB7NglrdhGMWZWVl7NixIynZySXzZpM75MA6y4t3FPD5yw/C8Nvx7whQ+PPPiAjlmz5A3GMwlQHE8iEt/GR/u5bB0+eStfJudp1wApvGjSPQoQOyfXuNDji0gw0q1tDl69evp0OHDjF1/jFj61YtWj5oEMWnnkrOsmX06tUrAXcyOjidTsrKyppMXij2QLqE0MgbH7AadeVEhWi02ZHAxcB8EZlrL/ubMebDaIWEwb3AO43Yf/fF11/DH/5A4N13Y1ZGIlJlLcWDrVu3Yoyhd+8IJSkHDtSB5Q8/JPPaa+l31VVaEOWBB6BPn5hlrlixApfLRffu3eM653gwZ84cevfuTcuWLRN63NnHCS2zgE+oUYJwweVC5XEP0m3erTjbBHD3AvPr35FM8K6zqZNnwaDbVqir7H9valLbu+/SatQo4q0rtnTpUtq3b5+ISwuPlSvh0EP1nG+8MSXZrKkuYLKH+ewbxXPdoLI3xkyjZlRNuG16NrD+a+DrkPl3GzpmItGkIWxdu8KuXbjOPBN3E4WvBWGMiT5j99RTtfrRxIlK/fDee3D11VrkPEYFkxoSq8Q/UxMACQCWZvyC1sZ1dUVJysTC0VrdJVaeZv32vdHAtm1se7y9hlA6nXDnnVpzoLFcTMnEzp1K0eD3a8lDUpO1m9LQS3afSJtoICKPRFpvjPlzpPV71DdMvEgqIVlt7LMPvPMOsnYt/W6+WdPOmwgx0zNkZqpyX7ZMOfsnT4ZevXTZ9u1RHaIhn/2sEcKckbv/C7XgciHD/iAy5Zrxu+/9BldnsLIATwAjFn2uNPQ839DjDEPf0dvg73+HXr1ot9jSnIZly+D223dvRV9RobQfK1dqjeV+/YAIfPZJREpDL80ek1QVRCZwILDcbkMBNzDLbhHRLJR9UmLsI2H4cMqefJKcefPg/PM1nK0JEAgE4rOyO3eGf/9bLf3f/EYt/R49NExzw4aIu0ZS9otvFrIPhoqV8MtvE/vCLPljXb96vPj5aKFiGZTNV+ve3bN6Xd+xhr5jDTn9htP/XptkbuNG+Otf1VVzzz0wcqTSXz/9NHTpEk7E7gNjtFP69lt47jmN1rKRcj6eJoahaeLsReRBEVkiIvNE5C0RaRWybpyI/CoiS0Xk5AYONQQYYYyZbIyZDBwPDDXGPGeMea6h82gWyj4VFKqVo0axYexYTZppIjdSTG6ccOjfX5Ow5s9Xy++hh1ShXXQR/PRTvTLDYflEwb9dFWfWfuDqAvMvjv6l+fnohrZNbOdx0LeGzH20NOCgZ+pek4hgZs1SXveePdX9NWqU3qvXXktqIfCEQgTOPFML3pxfM0I6FYlcqeTGgSaz7D8DBtkcNsuAcQA2E8H5wEDgFGCKiESySlsDoUUccu1lUaFZEKE1uWWPdjC7LryQrgMH6gu2c6dmtibRv50wls2BA7XI+t13w8MPa8GWl16Cgw6CMWNUSbTQ/I76LPu+N1YrzKVbbf93DKwNzjYw9wwhUA54IWtYddGRXdOeIq9b/JdXGwd9a59ruFtXUgL//S9DJk7EtXixFty+8kotQB9pIHx3gzGweLF2ShdeGHaTVIy9pJQbx6ZLSL4c82nI7I/Ab+3p04FXjTGVwCoR+RU4BPihnkPdB8yxC5cIcDQwPtrzSFv2SULVOIGI+r8PPlgH7ZJo5cftxqkPvXqpdb9+vfrzy8pU2XfsqMXPP/4YfL6wMlc+I6x8Rpf3H2/wbwcs9Y2DWv5LxkrVfG0MfdsQKAK8yopZHuKRbH3UFfS5LbE0xwvHCI4c2z/v88Gnn+o4RseOcPnlOMrL8U2cqPfikUf2PEU/bpxSe8ybl+qzqYHm4MaphcuAj+zpLsC6kHXrqaaiqXu+xvwHOBR4C3gTODwa900Qacs+SahRuKRNG/XrTpyoyv+BB5Ji4TfajVMf8vKUVO2aa+DHH9XX++qr8OKL9GnVCs+ppyolw3HHVQ1M9r6sZqc2YLLOz79YmH2yKtbsI8NTHwcRSpA2+zhh3u+EIa8kp7N0tYN+wz9QUrtOnWDbNr3uCy6A0aP5BTjgwANxNjEdRqOT1oKK/v779Ytk8ODEnVwCkNKEPKNBVlGinYj8HDI/1c70B0BEPgc6htnvVmPMO/Y2t6Lx8S/Fc7p2ztMJQG9jzF0i0t1OZJ0Zzf7NQtknrfB3BNSIABJRa9AYrSrl9cKkSQlX+EmPOhKBww/X9vDD8NFHlD71FC3efRdeflkV/XHHKV3v8cery6BW55N9FFTOh8qV4F2hg7jRVJ9KeF1YY1hxsUX2esheCvtsAyacpm6aUaOU62jkyCquI/nxx5RUjmqUsjdGvyYnTlRF/9hjKS1Mv7shxgzabcaYg+o9ljEnRNpZREajlMTHm+o/0gYg1CHZ1V5WH6agBJPHAXcBxSizwcENnTw0I2Xf1G6cOiUJRdQV4nSqouzUCcaOTajMpFn24ZCRAWecwYZ+/Wibm0uHxYvhgw/go4/0F5QL/cgjtXM4+GA48ED6jKmpMOdfLCy4TMIOiiYUu3Yp8+fMmZS8MI7MNdAnWMGxTx/47UiNOz/22LAkYKkoJhIcMI37mb7xhir6a69VYyOt6OugKbhxROQUlB34GGNMaLrwu8DLIvIvoDPQF4hkpR9qjDlQROYAGGN2iog72vNoFso+FW6csC+piFr0ffqoe6ApZCYZxhgkM1P580+2I8eCpRG/+w6mTVO65SC6ddMB4P32g759GXzRxxrmWVKiVnVjUFKioaJr1mgM+fLlOii5cCGsrS65kLvPPnDOcGUEPfZYHZtoAKlQ9iLSuOiYs89WhX/mmVEr+qDMlPyPmrgzakLWy0eBDOAz+xp/NMZcaYxZKCKvAYtQ9841xphIAxheO1rHAIhIe9TSjwrNQtmnwo3j9/vD19UUgT/9Sac9HrjjDk1XT0Dqf8IHaONFz57K8X+pnd29fbta1bNn6wDhokXwzTd1E85yczV7t21bvR+5ueoacrv1iwjA76fHli1kOxyaHFRYqMffulWVfSgyMzWc9Mgj4aqrlIp62LC4qi+l0rKPCUVFeq13362DyGed1fA+IQgOmDalsg8mczX1O2posmicfSKsuxelj4kGj6CDs/kici8a1XNbtOfRLJR9KgoaR/Xn/fFH9eF/+KEWsujWuHjCJnXjhMhssINp21b9+KGl9wIBTU5atUot8Q0bYPNmKCiAHTtUaRUUaIfg9VYnpjmdZAcCWC1aaChru3aaAZqfr5EzXbrol0LPnjqdoPuRKmUfk8wNGzQpLpgnEUfEUCqyaIPhl02t7DHsUXQJxpiXRGQWmkwlwBnGmMXR7t8slH2qLPsGFe/RR6ui/+1vlZDq3Xc1lj1O7FGf35alPEJdu8ZcGH3x3Ln06NGD1vVUeUoGdnvLfs4cHVguLFTD4ZRT4paZCn6cVIRfGprGZ59IGGOWAEvi2bfZxNmnNBonEk48Eb7/HlwuVf6h/u04ZDa933Pv57OH3VzZT58Ow4drB/r993ErekhN3HsqE6v8RqJqewOahbL3+Xypj8aJhEGDlI5gxIi4aIaD2KMs+0YgFZ3Lbj1AO3SoZsX+9BMMGdIomc2JDM0YrVQVTdsb0CyUfaos+5gUb36+unQGDtQwgUmTdNAxBqTKyk5b9slBRMt+2zYdiC0uhuxsmDoVOnRIiMzm5Mbx+iWqtjegWSj7VFn2cXcwy5dXp7dPmxb1bqmy7JsDditlP326RhY98wzMmJFQmc3KjbPnURw3Cs1C2e/WPvtw6NcPfvhBQwdHjFAa3ShewObixkkFUnGNdaJx/H647z4d23E61T9/QsTEzZiRKjdOygZom54bJ2VoNsp+t/bZh8MBB2hc+rnnaoGMc85pcJfUJKY0H2Wfcst+7Fj94jvrLI2+aUTkViSZzcayh2bls282oZdNbfEmJEkkL0+phU85Raf1wJqYFUbBpsKyh7TPPpkyA34/lJZCTo4m4w0apGycSbrnqXDjOJ3OqsL1TQnD3hNpEw2ahWUPTa+QEtbBiGjBjDPO0PlJkzRxZv36OpumKqmqOSAVyt61dSutLrkEzjtPB+179IDRo5PKcZPKpKomh816GU3bG9BslH1TI2np3zk5yjszYABMmVLjn5j22ScPTarsAwF48kl6nXYa7mnT1C/fRLKbW9HxgN+Kqu0N2DuuYjdE0pTglVfCggWacXvNNcooOX8+kE6qSiaaTNmvWqUJUldeSeXgwWz+5BOtitVEnXiq3DgpKWBiUBqxaNpegL1e2e+VbobevbWS0gsvKJtjsdb7S4UbB1Ljs0+F/zypMoPHbt1an+dzz7HlxRfx9uiRPJlh0KxCLwGMRNf2AjSoGUSkm4h8JSKLRGShiFxnL7/brpY+V0Q+FZHO9nJLRJ4XkekiMtBeNkJEjIiMCjnu+yIyIknXVYVUDVomHSJaCHzVKjjiCAC6P/441uTJyqbZREhb9o2E16tc8yNGKNlbq1bKDHrJJVgp8p83l9BLAAISXdsLEI0W9AE3GmMGAIcB19hV0R80xgwxxgwF3gdut7c/CZgBnAncGHKc9cCtCTvzKJGKGPsmRbBMnt9PzooVWH/5i/rz//vfJhlZai7KHhL8NREIwP/+p8/quuuUG2nnTl1n389G89nHgWYVepl249SEMWaTMWa2PV0MLAa6GGOKQjbLwSbUBxxU36JQLfALUCgiITy3yUcqYuxTAoeD+RMmKOVCdjacf75yt8+Zk1Sxe6WbLAwSatmvX68x8ueeq1Wx3n8fPvtMufxDEBeffSPR1G4cYwzGmBS5caJ04ewlbpyYtKCI9AQOQC13bAL9S4BC4Fh7s0+AF+3lY2od4l7gbuCzBuSMCbNvXLAsC6/Xy9dff43T6cThcOBwOGpMh7b6lluWVWeZiOxeVq2I1k096SR45RX4xz+02DlogY/WrRM+0NdcLPtGK3tjtHpWnz7Ku9+xIzz7rLri6vnyTKWyDyphv9+P3+8nEAhUTUdqPp8v4rLa91BEcDgcdOwYrlZ3kmGAvYT3JhpErexFJBctbnt90Ko3xtwK3Coi44BrgTuMMT7g/HDHMMZ8ayvI4ZFk2VXbp9pyG2VOZWRVyEmZAAAIuUlEQVRkMHz48CrroaE/pt/vx+v1RvxDB//49b2IIoLH42H69Ok1OotgC52vva52C3Yqwd/a60OXVcHhUCVy4YXVMdkXXKDFQv76V43bdkddurJBpJV9BHi98Npr8MADev9Xr9bw2Q8/rLOpMYZAIEAgEKj6v3o8HkpKSqqWh2tBpRy6LHQ+3HTob+h1BeV+8803Nf6D0bSMjIyIhpPT6dz9/it7iT8+GkSl7EXEhSr6l4wxb4bZ5CXgQ+COKA53L1pKq0m/20QEl8uFy+VKuqxIL1akF9Dr9UZ8qWu/4LWXBb9g6sAY8g86iB4vv0zOJZdQ+Ze/sPGss9g8ahSB1q2rvlBCW7Ajqd2C9zLYysvLWbZsWZWrrPZ2kX5rT4ebD4eioiI2btxIYWFhyCWasNOh85F+Q1u4ZSUlJYgI27Ztq+rkg8+g9rbGGKxdu+jw3nt0fvNNMrdupbRHD9ZecQUFP/yAieBWDO3IgzIWL14c0SCobRy43e6IhkXt370ygCFapJV9NUTfvqeBxcaYf4Us72uMWW7Pnk6U1VOMMZ+KyN1ApzjOd49A8AXarcYKjj1WCdU+/hj3xIn0mjqV7r16EbjxRozfb5NC1VVaQYUGdRWgMYb8/PyqdbW3CZ0PorairT0divqWd+vWLWKnEK4zieY3UqcWTbNEEI8HycpCpk/H+eSTmGOPhRtvJGfkSPazLPar96zTaHIYqkcamwGi0UZHAhcD80Vkrr3sb8AfRKQ/OhC7BrgyBrn3Au/EcqJpJAC2T19GjoQFC3B06YLD5YJXX9VauJddpu6eWgOFaTSAbdt0jOTppzXJ7fHHlZlyyRKkf/9Un10akZC27KthjJlGzaiaIOo6Hes/xtfA1yHz79ZzzDSaCoMGVU+3bq0+/Ouvh5tuUuK1Cy9U3/7u5mPdnfDee/DUU+p/9/mUY/6ww3SdCKQV/e4NI81qgFZ299A5EVkNNG0aYRpppLG7Y40xpmdjDiAiHwPtotx8mzEm/uK+uwF2e2WfCIjIz8aYxJN/p2WmTG5a5t4lM5Vymwua8TB8GmmkkUbzQVrZp5FGGmk0AzQXZT81LXOvk5uWuXfJTKXcZoFm4bNPI4000mjuaC6WfRpppJFGs0Za2aeRRhppNAPsUcpeRJ4RkQIRWRCy7EERWWIXUnlLRFrV2qe7iJSIyE0hy84Xkdkicn3IstUiMt8uxjJXRB6JVaaI9BSR8pBjPBGyzwgR+VlEHghZ9rWILA3Z/vV4rlNEhojID6LFZeaLSGasMuO41gtDjjFXRAIiMjSZ1yoiLhF5zr7GxaIEfMl+pm4R+Y99nF8kpOBOAq6zvgJAIiKPiMiv9voDQ/a5wb7O80KW+Ws9i1vikLmv/R+qlJB3JdZ7G4fcC+3l80ULHu0fr9w0GkA4vpPdtQFHAwcCC0KWnQQ47en7gftr7fM68D/gppBlb6O8+68Cufay1UC7xsgEeoZuV+s4/wWygInAvvayr4GDGinTCcwD9rfn2wKOWGXGe3/t5YOBFU1wrRcAr9rT2fYz65nkZ3oN8B97Oh+YBVgJus68kOk/A0/Y06cCH6FZ5ocBM+zlucDL9jN/J2TfkhieZ30y84GDUSqTm2odJ+p7G4fcI4DW9vTI4LXGIzfdIrc9yrI3xnwL7Ki17FOjtMoAPwJdg+tE5AxgFbCw1qGCOdImZDohMiPAoro2TiJlngTMM8b8Ym+33RgTrD4Rtcw45Ibid+gLGUSyrtUAOSLiRJWsBwgW0UnWMx0AfGlvUwDsAoKJP429zvoKAJ0OPG8UPwKtRKRTrWtsELHINMYUGGN+ArxhDhX1vY1D7nRjjF2iq87/Kya5aUTGHqXso8BlqEWEKP/+WODOMNu9CfwM/Gy0+lYQX4V8Ht4Qq0wbvURkjoh8IyJHhSx/CpiOWoWLQ5a/FCLzwThk9gOMiHxif/L+NUkya8sNxXnAK0mSGyrzdaAU2ASsBf5pjAkqlWQ901+A/xMRp4j0AoYB3RJ1nSJyr4isAy6kurRnF2BdyGbr0epwxcB8+zr/G7I+q5Yb5zwioB6ZkZCQexuF3D9Q8/+VyGeaRqo/LWJt1OMqQevbvkV1OOk/gXPt6fHU+jQNs/9q6v8sjVZmBtDWnh6GvrB5EWR+Tf0ulWhl3oR+vbRDXRs/AMfHIzMWuSHLDwXmR/HcEnGtR6K1E1yo22Ep0DvJz9QJTALmokytHwJnJPI67XXjgDvt6feB4SHrvmjgmYV148QiM2RZg+9KQ/c2TrnHoiVP2zZGbrrV3/YKy15ERgO/AS409j8CVUIPiBKpXQ/8TUSuTaZMY0ylMWa7PT0LWIFa3kmTiVp93xpjthljylBldGA9h0ik3CDOp6ZVn0yZFwAfG2O8Rl0q31PtUkmKTGOMzxhzgzFmqDHmdKAVsCxRMkPwEnC2Pb2B6q8HUNfGhiTLbErUkCsiQ9CvpNOD708aiccer+xF5BTgr8D/2coOAGPMUcaYnkaZ8R4C/mGMeTSZMkWkvYg47OneQF9gZTJlojV/B4tItu3LPgZYlAiZDchFRCzgXGr665Mpcy1wnL1NDjp4GVXRnHhl2vc1x54+EfAZYxJyf0Wkb8hsaAGgd4FLRHEYUGiM2ZRkmUlFfXJFpDvqrrnYGJOMTjSNIFL9aRFLQy3ITegg0nrUx/cr6i6Za7cnwuw3nujcOPNDjvN8rDJRa2WhvWw2MKoBmV+jrojgcT6P5zqBi2y5C4AH4pEZp9wRwI9RPrtGXysajfI/+1oXATc3wTPtaZ/3YuBzoEcCr/MN+5nNA95D/fKgg5GPoV+G84ngwrG394fImwvcF4fMjvY2Regg9HoiuyDD3ts45D4F7Aw5zs/xPNN0a7il6RLSSCONNJoB9ng3ThpppJFGGg0jrezTSCONNJoB0so+jTTSSKMZIK3s00gjjTSaAdLKPo000kijGSCt7NNII400mgHSyj6NNNJIoxng/wFZmfh8UrOFdgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display.plot_ppi_map('reflectivity', 1, vmin=-32, vmax=64, min_lon=minlon, max_lon=maxlon, \\\n",
    "    min_lat=minlat, max_lat=maxlat, \\\n",
    "    lat_lines = local_lats, lon_lines = local_lons, \\\n",
    "    shapefile=GIS_shapefile, \\\n",
    "    projection=projection, \\\n",
    "    lat_0=radar.latitude['data'][0],lon_0=radar.longitude['data'][0])\n",
    "\n",
    "display.plot_range_ring(50., line_style='k--')\n",
    "display.plot_range_ring(100., line_style='k-',color='blue')           \n",
    "display.plot_range_ring(200., line_style='k--',color='blue')\n",
    "display.plot_range_ring(300., line_style='k-',color='red')\n",
    "display.plot_range_ring(400., line_style='k--',color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}