{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Brian Blaylock**\n",
    "\n",
    "# 👨🏻‍🏫 `hrrrb.archive` Examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime, timedelta\n",
    "from pandas import date_range\n",
    "\n",
    "########################################################################\n",
    "# For the purpose of these notebooks, I need to tell python to look\n",
    "# for the hrrrb package one directory back. You shouldn't\n",
    "# need this line if you installed hrrrb with PyPI.\n",
    "import sys; sys.path.append('../')\n",
    "########################################################################\n",
    "\n",
    "from hrrrb.archive import download_hrrr, xhrrr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example #1\n",
    "## Download full HRRR files\n",
    "- for every hour between two dates\n",
    "- only get analyses (F00)\n",
    "- get the surface, 'sfc', fileds (not the pressure 'prs' fileds which are much larger files).\n",
    "\n",
    "By default, data is downloaded to the user's home directory in `~/data/hrrr`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "💡 Info: Downloading [4] GRIB2 files\n",
      "\n",
      "✅ Success! Downloaded from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t00z.wrfsfcf00.grib2 --> /p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t00z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [1/4 completed] >> Est. Time Remaining 0:00:07.308714  \n",
      "\n",
      "✅ Success! Downloaded from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t01z.wrfsfcf00.grib2 --> /p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t01z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [2/4 completed] >> Est. Time Remaining 0:00:04.936660  \n",
      "\n",
      "✅ Success! Downloaded from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t02z.wrfsfcf00.grib2 --> /p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t02z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [3/4 completed] >> Est. Time Remaining 0:00:02.519032  \n",
      "\n",
      "✅ Success! Downloaded from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t03z.wrfsfcf00.grib2 --> /p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t03z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [4/4 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:09.962888\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([PosixPath('/p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t00z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t01z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t02z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t03z.wrfsfcf00.grib2')],\n",
       "       dtype=object),\n",
       " array(['https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t00z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t01z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t02z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t03z.wrfsfcf00.grib2'],\n",
       "       dtype='<U106'))"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATES = date_range('2019-7-4 00:00', '2019-7-4 03:00', freq='1H')\n",
    "\n",
    "download_hrrr(DATES)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use the `dryrun=True` option to see what will happen without actually downloading anything"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🌵 Info: Dry Run [4] GRIB2 files\n",
      "\n",
      "🌵 Dry Run! Would get from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t00z.wrfsfcf00.grib2 --> /p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t00z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [1/4 completed] >> Est. Time Remaining 0:00:01.698645  \n",
      "\n",
      "🌵 Dry Run! Would get from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t01z.wrfsfcf00.grib2 --> /p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t01z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [2/4 completed] >> Est. Time Remaining 0:00:01.139290  \n",
      "\n",
      "🌵 Dry Run! Would get from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t02z.wrfsfcf00.grib2 --> /p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t02z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [3/4 completed] >> Est. Time Remaining 0:00:00.567365  \n",
      "\n",
      "🌵 Dry Run! Would get from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t03z.wrfsfcf00.grib2 --> /p/home/blaylock/data/hrrr/20190704/20190704_hrrr.t03z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [4/4 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:02.271374\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([None, None, None, None], dtype=object),\n",
       " array(['https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t00z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t01z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t02z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t03z.wrfsfcf00.grib2'],\n",
       "       dtype='<U106'))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "download_hrrr(DATES, fxx=[0], field='sfc', dryrun=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set `verbose=False` to not print so much stuff to the screen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🌵 Info: Dry Run [4] GRIB2 files\n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:02.263555\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([None, None, None, None], dtype=object),\n",
       " array(['https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t00z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t01z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t02z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t03z.wrfsfcf00.grib2'],\n",
       "       dtype='<U106'))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "download_hrrr(DATES, fxx=[0], field='sfc', verbose=False, dryrun=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example #2\n",
    "## Download subset from files (by GRIB message)\n",
    "- same as above\n",
    "- except only get 10-meter u and v wind compoenent, (instead of the full file)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "💡 Info: Downloading [4] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t00z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [1/4 completed] >> Est. Time Remaining 0:00:04.720395  \n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t01z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [2/4 completed] >> Est. Time Remaining 0:00:03.195536  \n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t02z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [3/4 completed] >> Est. Time Remaining 0:00:01.570910  \n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t03z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [4/4 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:06.257138\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([PosixPath('/p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t00z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t01z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t02z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t03z.wrfsfcf00.grib2')],\n",
       "       dtype=object),\n",
       " array(['https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t00z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t01z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t02z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t03z.wrfsfcf00.grib2'],\n",
       "       dtype='<U106'))"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATES = date_range('2019-7-4 00:00', '2019-7-4 03:00', freq='1H')\n",
    "\n",
    "download_hrrr(DATES, searchString=':(U|V)GRD:10 m',\n",
    "              fxx=[0], field='sfc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### with `verbose=False` and `dryrun=True` option..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🌵 Info: Dry Run [4] GRIB2 files\n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:02.908464\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([None, None, None, None], dtype=object),\n",
       " array(['https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t00z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t01z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t02z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t03z.wrfsfcf00.grib2'],\n",
       "       dtype='<U106'))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATES = date_range('2019-7-4 00:00', '2019-7-4 03:00', freq='1H')\n",
    "\n",
    "download_hrrr(DATES, searchString=':(U|V)GRD:10 m',\n",
    "              fxx=[0], field='sfc', verbose=False, dryrun=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For the HRRR-Alaska model\n",
    "Remember, HRRR-Alaska is only run every three hours (not every hour)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "👨🏻‍🏭 Created directory: [/p/home/blaylock/data/hrrrak]\n",
      "💡 Info: Downloading [5] GRIB2 files\n",
      "\n",
      "👨🏻‍🏭 Created directory: [/p/home/blaylock/data/hrrrak/20190704]\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 76]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 77]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t00z.wrfsfcf00.ak.grib2\n",
      "🚛💨 Download Progress: [1/5 completed] >> Est. Time Remaining 0:00:06.366468  \n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 76]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 77]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t03z.wrfsfcf00.ak.grib2\n",
      "🚛💨 Download Progress: [2/5 completed] >> Est. Time Remaining 0:00:04.859538  \n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 76]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 77]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t06z.wrfsfcf00.ak.grib2\n",
      "🚛💨 Download Progress: [3/5 completed] >> Est. Time Remaining 0:00:03.247942  \n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 76]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 77]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t09z.wrfsfcf00.ak.grib2\n",
      "🚛💨 Download Progress: [4/5 completed] >> Est. Time Remaining 0:00:01.622608  \n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 76]: variable=UGRD, level=10 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 77]: variable=VGRD, level=10 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:(U|V)GRD:10 m] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t12z.wrfsfcf00.ak.grib2\n",
      "🚛💨 Download Progress: [5/5 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:08.112309\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([PosixPath('/p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t00z.wrfsfcf00.ak.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t03z.wrfsfcf00.ak.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t06z.wrfsfcf00.ak.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t09z.wrfsfcf00.ak.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrrak/20190704/subset_20190704_hrrr.t12z.wrfsfcf00.ak.grib2')],\n",
       "       dtype=object),\n",
       " array(['https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/alaska/hrrr.t00z.wrfsfcf00.ak.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/alaska/hrrr.t03z.wrfsfcf00.ak.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/alaska/hrrr.t06z.wrfsfcf00.ak.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/alaska/hrrr.t09z.wrfsfcf00.ak.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/alaska/hrrr.t12z.wrfsfcf00.ak.grib2'],\n",
       "       dtype='<U110'))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATES = date_range('2019-7-4 00:00', '2019-7-4 12:00', freq='3H')\n",
    "\n",
    "download_hrrr(DATES, searchString=':(U|V)GRD:10 m', model='alaska',\n",
    "              fxx=[0], field='sfc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example #3\n",
    "## Download and return as xarray Dataset\n",
    "Subset data by fields for 2 m above the ground.\n",
    "Downloads the GRIB2 as a temporary file (`remove_grib2=True`) and read data as an xarray Dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "💡 Info: Downloading [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 67]: variable=POT, level=2 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 68]: variable=SPFH, level=2 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 69]: variable=DPT, level=2 m above ground, forecast=anl\n",
      "  Downloading GRIB line [ 70]: variable=RH, level=2 m above ground, forecast=anl\n",
      "✅ Success! Searched for [:2 m] and got [5] GRIB fields and saved as /p/home/blaylock/data/hrrr/20190704/subset_20190704_hrrr.t00z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:02.731424\n"
     ]
    }
   ],
   "source": [
    "DATE = datetime(2019, 7, 4)\n",
    "\n",
    "H = xhrrr(DATE, searchString=':2 m', fxx=0, field='sfc', remove_grib2=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (x: 1799, y: 1059)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] 2019-07-04\n",
       "    step               timedelta64[ns] 00:00:00\n",
       "    heightAboveGround  int64 2\n",
       "    latitude           (y, x) float64 21.14 21.15 21.15 ... 47.86 47.85 47.84\n",
       "    longitude          (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1\n",
       "    valid_time         datetime64[ns] 2019-07-04\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    pt                 (y, x) float32 294.8 294.8 294.8 ... 283.4 283.4 283.4\n",
       "    q                  (y, x) float32 0.0139 0.0139 0.0139 ... 0.00779 0.00777\n",
       "    t2m                (y, x) float32 296.0 295.9 295.9 ... 284.3 284.2 284.2\n",
       "    d2m                (y, x) float32 292.5 292.5 292.5 ... 283.6 283.5 283.5\n",
       "    r2                 (y, x) float32 81.3 81.4 81.4 81.5 ... 95.0 95.0 95.0\n",
       "Attributes:\n",
       "    GRIB_edition:                   2\n",
       "    GRIB_centre:                    kwbc\n",
       "    GRIB_centreDescription:         US National Weather Service - NCEP \n",
       "    GRIB_subCentre:                 0\n",
       "    Conventions:                    CF-1.7\n",
       "    institution:                    US National Weather Service - NCEP \n",
       "    history:                        {&#x27;DATE&#x27;: Timestamp(&#x27;2019-07-04 00:00:00&#x27;)...\n",
       "    url:                            https://storage.googleapis.com/high-resol...\n",
       "    grid_mapping_name:              lambert_conformal_conic\n",
       "    standard_parallel:              (38.5, 38.5)\n",
       "    longitude_of_central_meridian:  262.5\n",
       "    latitude_of_projection_origin:  38.5\n",
       "    crs:                            &lt;cartopy.crs.LambertConformal object at 0...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-646a14fe-7d78-4781-bbda-dc45a0b766fe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-646a14fe-7d78-4781-bbda-dc45a0b766fe' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>x</span>: 1799</li><li><span>y</span>: 1059</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5ff2c92b-5a9c-41a3-acec-da137cd20941' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ff2c92b-5a9c-41a3-acec-da137cd20941' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-07-04</div><input id='attrs-fed3c348-d627-4636-b560-83ac2706ef24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fed3c348-d627-4636-b560-83ac2706ef24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5f42aa5-1d48-4c0e-98df-66464b61f09f' class='xr-var-data-in' type='checkbox'><label for='data-e5f42aa5-1d48-4c0e-98df-66464b61f09f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2019-07-04T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-c442eda3-ffe3-4e75-a5be-b3e1b77caecc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c442eda3-ffe3-4e75-a5be-b3e1b77caecc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ad4dde6-88ce-4946-9196-e9d42f65a043' class='xr-var-data-in' type='checkbox'><label for='data-0ad4dde6-88ce-4946-9196-e9d42f65a043' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2</div><input id='attrs-b4e4e505-4165-4209-adf4-b85861e093a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4e4e505-4165-4209-adf4-b85861e093a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3ebe75e-2d04-4f7a-842a-ba94e0d396dc' class='xr-var-data-in' type='checkbox'><label for='data-b3ebe75e-2d04-4f7a-842a-ba94e0d396dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>21.14 21.15 21.15 ... 47.85 47.84</div><input id='attrs-1e995e61-a6e0-472a-b9c9-897923d9be63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e995e61-a6e0-472a-b9c9-897923d9be63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b348e2a-c02f-45f7-a7c6-0e92aa88cba8' class='xr-var-data-in' type='checkbox'><label for='data-7b348e2a-c02f-45f7-a7c6-0e92aa88cba8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[21.138123  , 21.14511004, 21.1520901 , ..., 21.1545089 ,\n",
       "        21.14753125, 21.14054663],\n",
       "       [21.16299459, 21.1699845 , 21.17696744, ..., 21.17938723,\n",
       "        21.1724067 , 21.16541921],\n",
       "       [21.18786863, 21.19486142, 21.20184723, ..., 21.20426802,\n",
       "        21.19728462, 21.19029425],\n",
       "       ...,\n",
       "       [47.78955926, 47.799849  , 47.81012868, ..., 47.81369093,\n",
       "        47.80341474, 47.79312849],\n",
       "       [47.81409316, 47.82438621, 47.8346692 , ..., 47.83823259,\n",
       "        47.8279531 , 47.81766354],\n",
       "       [47.8386235 , 47.84891986, 47.85920615, ..., 47.86277069,\n",
       "        47.85248789, 47.84219502]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>237.3 237.3 237.3 ... 299.0 299.1</div><input id='attrs-3cc9d117-6359-4f60-9872-ae91b9984171' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cc9d117-6359-4f60-9872-ae91b9984171' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9415f576-c787-4a0b-9fdb-2146cb202c4e' class='xr-var-data-in' type='checkbox'><label for='data-9415f576-c787-4a0b-9fdb-2146cb202c4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[237.280472  , 237.30713868, 237.3338097 , ..., 287.6569408 ,\n",
       "        287.68361332, 287.71028151],\n",
       "       [237.27297501, 237.29964881, 237.32632695, ..., 287.66442108,\n",
       "        287.69110073, 287.71777603],\n",
       "       [237.26547368, 237.2921546 , 237.31883986, ..., 287.6719057 ,\n",
       "        287.69859247, 287.7252749 ],\n",
       "       ...,\n",
       "       [225.9351904 , 225.97171577, 226.00825329, ..., 298.97907406,\n",
       "        299.0156158 , 299.05214538],\n",
       "       [225.91986142, 225.95639874, 225.99294822, ..., 298.99437498,\n",
       "        299.03092868, 299.06747022],\n",
       "       [225.90452027, 225.94106954, 225.97763099, ..., 299.00968806,\n",
       "        299.04625373, 299.08280723]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-07-04</div><input id='attrs-01d30981-c6ec-42eb-adb9-db6a984f2089' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01d30981-c6ec-42eb-adb9-db6a984f2089' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7504e7a5-3edb-4923-95e7-7c0619da5c71' class='xr-var-data-in' type='checkbox'><label for='data-7504e7a5-3edb-4923-95e7-7c0619da5c71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2019-07-04T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-674edef6-9dc3-47b6-af8e-be59ee9d2374' class='xr-section-summary-in' type='checkbox'  checked><label for='section-674edef6-9dc3-47b6-af8e-be59ee9d2374' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pt</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>294.8 294.8 294.8 ... 283.4 283.4</div><input id='attrs-d2e43b27-8c91-4d4a-aacd-9e8533f6fb21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2e43b27-8c91-4d4a-aacd-9e8533f6fb21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-772e6866-d3b6-4a93-90cc-b5f1c9f75130' class='xr-var-data-in' type='checkbox'><label for='data-772e6866-d3b6-4a93-90cc-b5f1c9f75130' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>3</dd><dt><span>GRIB_shortName :</span></dt><dd>pt</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_name :</span></dt><dd>Potential temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>pt</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_parameterName :</span></dt><dd>Potential temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Potential temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>crs :</span></dt><dd>&lt;cartopy.crs.LambertConformal object at 0x2b9701a48ad0&gt;</dd></dl></div><div class='xr-var-data'><pre>array([[294.80124, 294.80124, 294.80124, ..., 300.11374, 300.11374,\n",
       "        300.05124],\n",
       "       [294.80124, 294.80124, 294.80124, ..., 300.11374, 300.05124,\n",
       "        300.05124],\n",
       "       [294.73874, 294.73874, 294.73874, ..., 300.11374, 300.05124,\n",
       "        299.98874],\n",
       "       ...,\n",
       "       [284.67624, 284.67624, 284.67624, ..., 283.48874, 283.42624,\n",
       "        283.42624],\n",
       "       [284.61374, 284.61374, 284.61374, ..., 283.42624, 283.42624,\n",
       "        283.36374],\n",
       "       [284.61374, 284.61374, 284.61374, ..., 283.42624, 283.36374,\n",
       "        283.36374]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>q</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0139 0.0139 ... 0.00779 0.00777</div><input id='attrs-3d65c41d-9d2c-41e4-8b40-ca49127fff44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d65c41d-9d2c-41e4-8b40-ca49127fff44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e8960ee-93de-4d03-8d48-8f7a9b411f39' class='xr-var-data-in' type='checkbox'><label for='data-1e8960ee-93de-4d03-8d48-8f7a9b411f39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>133</dd><dt><span>GRIB_shortName :</span></dt><dd>q</dd><dt><span>GRIB_units :</span></dt><dd>kg kg**-1</dd><dt><span>GRIB_name :</span></dt><dd>Specific humidity</dd><dt><span>GRIB_cfName :</span></dt><dd>specific_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>q</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_parameterName :</span></dt><dd>Specific humidity </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>kg kg-1</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>crs :</span></dt><dd>&lt;cartopy.crs.LambertConformal object at 0x2b9701a48ad0&gt;</dd></dl></div><div class='xr-var-data'><pre>array([[0.0139 , 0.0139 , 0.0139 , ..., 0.01999, 0.01999, 0.01998],\n",
       "       [0.01389, 0.01383, 0.01381, ..., 0.02   , 0.01998, 0.01998],\n",
       "       [0.01388, 0.0138 , 0.01378, ..., 0.02003, 0.02001, 0.01999],\n",
       "       ...,\n",
       "       [0.0085 , 0.00848, 0.00848, ..., 0.00782, 0.0078 , 0.00779],\n",
       "       [0.0085 , 0.00848, 0.00848, ..., 0.00781, 0.0078 , 0.00778],\n",
       "       [0.00849, 0.0085 , 0.0085 , ..., 0.0078 , 0.00779, 0.00777]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>296.0 295.9 295.9 ... 284.2 284.2</div><input id='attrs-2f622705-53ec-47aa-81ca-fee9dc87bd4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f622705-53ec-47aa-81ca-fee9dc87bd4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82693b2d-4992-4e7b-aa4f-0301aa52b583' class='xr-var-data-in' type='checkbox'><label for='data-82693b2d-4992-4e7b-aa4f-0301aa52b583' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>crs :</span></dt><dd>&lt;cartopy.crs.LambertConformal object at 0x2b9701a48ad0&gt;</dd></dl></div><div class='xr-var-data'><pre>array([[295.9871, 295.9246, 295.9246, ..., 301.3621, 301.2996, 301.2996],\n",
       "       [295.9246, 295.9246, 295.9246, ..., 301.2996, 301.2996, 301.2371],\n",
       "       [295.9246, 295.9246, 295.9246, ..., 301.2996, 301.2996, 301.2371],\n",
       "       ...,\n",
       "       [286.3621, 286.3621, 286.3621, ..., 284.2996, 284.2996, 284.2996],\n",
       "       [286.3621, 286.3621, 286.3621, ..., 284.2996, 284.2371, 284.2371],\n",
       "       [286.2996, 286.2996, 286.3621, ..., 284.2996, 284.2371, 284.1746]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>d2m</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>292.5 292.5 292.5 ... 283.5 283.5</div><input id='attrs-90b8fec7-46bd-4884-a10a-62b7f98a801c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90b8fec7-46bd-4884-a10a-62b7f98a801c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f99861dd-3846-428a-98a1-3f029ea1d39c' class='xr-var-data-in' type='checkbox'><label for='data-f99861dd-3846-428a-98a1-3f029ea1d39c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>168</dd><dt><span>GRIB_shortName :</span></dt><dd>2d</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_name :</span></dt><dd>2 metre dewpoint temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>d2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_parameterName :</span></dt><dd>Dew point temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre dewpoint temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>crs :</span></dt><dd>&lt;cartopy.crs.LambertConformal object at 0x2b9701a48ad0&gt;</dd></dl></div><div class='xr-var-data'><pre>array([[292.51355, 292.51355, 292.51355, ..., 298.45105, 298.45105,\n",
       "        298.45105],\n",
       "       [292.51355, 292.45105, 292.45105, ..., 298.45105, 298.45105,\n",
       "        298.45105],\n",
       "       [292.51355, 292.38855, 292.38855, ..., 298.51355, 298.45105,\n",
       "        298.45105],\n",
       "       ...,\n",
       "       [285.01355, 284.95105, 284.95105, ..., 283.57605, 283.57605,\n",
       "        283.57605],\n",
       "       [285.01355, 285.01355, 285.01355, ..., 283.57605, 283.57605,\n",
       "        283.51355],\n",
       "       [285.01355, 285.01355, 285.01355, ..., 283.57605, 283.51355,\n",
       "        283.51355]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r2</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>81.3 81.4 81.4 ... 95.0 95.0 95.0</div><input id='attrs-319d04d0-e7fb-4c10-8325-f17eab56a71d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-319d04d0-e7fb-4c10-8325-f17eab56a71d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c5b1454-4929-422c-aeb6-5d9171e1f050' class='xr-var-data-in' type='checkbox'><label for='data-4c5b1454-4929-422c-aeb6-5d9171e1f050' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>260242</dd><dt><span>GRIB_shortName :</span></dt><dd>2r</dd><dt><span>GRIB_units :</span></dt><dd>%</dd><dt><span>GRIB_name :</span></dt><dd>2 metre relative humidity</dd><dt><span>GRIB_cfName :</span></dt><dd>relative_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>r2</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_parameterName :</span></dt><dd>Relative humidity </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>2 metre relative humidity</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>crs :</span></dt><dd>&lt;cartopy.crs.LambertConformal object at 0x2b9701a48ad0&gt;</dd></dl></div><div class='xr-var-data'><pre>array([[81.3, 81.4, 81.4, ..., 84.7, 84.7, 84.8],\n",
       "       [81.4, 81.1, 81. , ..., 84.7, 84.8, 85. ],\n",
       "       [81.5, 81. , 80.9, ..., 84.8, 85. , 85.1],\n",
       "       ...,\n",
       "       [92.2, 92. , 91.9, ..., 94.8, 94.9, 94.8],\n",
       "       [92.3, 92.1, 92.1, ..., 95. , 95. , 94.9],\n",
       "       [92.4, 92.4, 92.3, ..., 95. , 95. , 95. ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16fbc203-2a2a-42d2-9928-3c7b182e9360' class='xr-section-summary-in' type='checkbox'  ><label for='section-16fbc203-2a2a-42d2-9928-3c7b182e9360' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>kwbc</dd><dt><span>GRIB_centreDescription :</span></dt><dd>US National Weather Service - NCEP </dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>US National Weather Service - NCEP </dd><dt><span>history :</span></dt><dd>{&#x27;DATE&#x27;: Timestamp(&#x27;2019-07-04 00:00:00&#x27;), &#x27;searchString&#x27;: &#x27;:2 m&#x27;, &#x27;fxx&#x27;: 0, &#x27;DATE_is_valid_time&#x27;: False, &#x27;remove_grib2&#x27;: True, &#x27;add_crs&#x27;: True, &#x27;download_kwargs&#x27;: {&#x27;field&#x27;: &#x27;sfc&#x27;}}</dd><dt><span>url :</span></dt><dd>https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20190704/conus/hrrr.t00z.wrfsfcf00.grib2</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>crs :</span></dt><dd>&lt;cartopy.crs.LambertConformal object at 0x2b9701a48ad0&gt;</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (x: 1799, y: 1059)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] 2019-07-04\n",
       "    step               timedelta64[ns] 00:00:00\n",
       "    heightAboveGround  int64 2\n",
       "    latitude           (y, x) float64 21.14 21.15 21.15 ... 47.86 47.85 47.84\n",
       "    longitude          (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1\n",
       "    valid_time         datetime64[ns] 2019-07-04\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    pt                 (y, x) float32 294.8 294.8 294.8 ... 283.4 283.4 283.4\n",
       "    q                  (y, x) float32 0.0139 0.0139 0.0139 ... 0.00779 0.00777\n",
       "    t2m                (y, x) float32 296.0 295.9 295.9 ... 284.3 284.2 284.2\n",
       "    d2m                (y, x) float32 292.5 292.5 292.5 ... 283.6 283.5 283.5\n",
       "    r2                 (y, x) float32 81.3 81.4 81.4 81.5 ... 95.0 95.0 95.0\n",
       "Attributes:\n",
       "    GRIB_edition:                   2\n",
       "    GRIB_centre:                    kwbc\n",
       "    GRIB_centreDescription:         US National Weather Service - NCEP \n",
       "    GRIB_subCentre:                 0\n",
       "    Conventions:                    CF-1.7\n",
       "    institution:                    US National Weather Service - NCEP \n",
       "    history:                        {'DATE': Timestamp('2019-07-04 00:00:00')...\n",
       "    url:                            https://storage.googleapis.com/high-resol...\n",
       "    grid_mapping_name:              lambert_conformal_conic\n",
       "    standard_parallel:              (38.5, 38.5)\n",
       "    longitude_of_central_meridian:  262.5\n",
       "    latitude_of_projection_origin:  38.5\n",
       "    crs:                            <cartopy.crs.LambertConformal object at 0..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example #4\n",
    "## Files download from NOMADS instead of Pando if datetime requested is for yesterday or today.\n",
    "HRRR files are available on the NOMADS server for runs from today and yesterday. Download the files from NOMADS for those dates. (Notice the data source announced in the printed statement.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-12-19 22:00:00', '2020-12-19 23:00:00',\n",
       "               '2020-12-20 00:00:00', '2020-12-20 01:00:00',\n",
       "               '2020-12-20 02:00:00'],\n",
       "              dtype='datetime64[ns]', freq='H')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today = datetime.utcnow()\n",
    "oneDayAgo = datetime(today.year, today.month, today.day) - timedelta(days=1)\n",
    "twoDaysAgo = datetime(today.year, today.month, today.day) - timedelta(days=2)\n",
    "\n",
    "sDATE = datetime(twoDaysAgo.year, twoDaysAgo.month, twoDaysAgo.day, 22)\n",
    "eDATE = datetime(oneDayAgo.year, oneDayAgo.month, oneDayAgo.day, 2)\n",
    "\n",
    "# This range of dates will get files from Pando and NOMADS\n",
    "DATES = date_range(sDATE, eDATE, freq='1H')\n",
    "DATES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "💡 Info: Downloading [5] GRIB2 files\n",
      "\n",
      "👨🏻‍🏭 Created directory: [/p/home/blaylock/data/hrrr/20201220]\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 15]: variable=TMP, level=500 mb, forecast=anl\n",
      "  Downloading GRIB line [ 16]: variable=DPT, level=500 mb, forecast=anl\n",
      "✅ Success! Searched for [(TMP|DPT):500 mb] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20201220/subset_20201219_hrrr.t22z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [1/5 completed] >> Est. Time Remaining 0:00:07.078336  \n",
      "\n",
      "Download subset from [google]:\n",
      "  Downloading GRIB line [ 15]: variable=TMP, level=500 mb, forecast=anl\n",
      "  Downloading GRIB line [ 16]: variable=DPT, level=500 mb, forecast=anl\n",
      "✅ Success! Searched for [(TMP|DPT):500 mb] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20201220/subset_20201219_hrrr.t23z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [2/5 completed] >> Est. Time Remaining 0:00:05.347716  \n",
      "\n",
      "Download subset from [nomads]:\n",
      "  Downloading GRIB line [ 15]: variable=TMP, level=500 mb, forecast=anl\n",
      "  Downloading GRIB line [ 16]: variable=DPT, level=500 mb, forecast=anl\n",
      "✅ Success! Searched for [(TMP|DPT):500 mb] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20201220/subset_20201220_hrrr.t00z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [3/5 completed] >> Est. Time Remaining 0:00:04.294934  \n",
      "\n",
      "Download subset from [nomads]:\n",
      "  Downloading GRIB line [ 15]: variable=TMP, level=500 mb, forecast=anl\n",
      "  Downloading GRIB line [ 16]: variable=DPT, level=500 mb, forecast=anl\n",
      "✅ Success! Searched for [(TMP|DPT):500 mb] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20201220/subset_20201220_hrrr.t01z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [4/5 completed] >> Est. Time Remaining 0:00:02.380948  \n",
      "\n",
      "Download subset from [nomads]:\n",
      "  Downloading GRIB line [ 15]: variable=TMP, level=500 mb, forecast=anl\n",
      "  Downloading GRIB line [ 16]: variable=DPT, level=500 mb, forecast=anl\n",
      "✅ Success! Searched for [(TMP|DPT):500 mb] and got [2] GRIB fields and saved as /p/home/blaylock/data/hrrr/20201220/subset_20201220_hrrr.t02z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [5/5 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:12.991733\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([PosixPath('/p/home/blaylock/data/hrrr/20201220/subset_20201219_hrrr.t22z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20201220/subset_20201219_hrrr.t23z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20201220/subset_20201220_hrrr.t00z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20201220/subset_20201220_hrrr.t01z.wrfsfcf00.grib2'),\n",
       "        PosixPath('/p/home/blaylock/data/hrrr/20201220/subset_20201220_hrrr.t02z.wrfsfcf00.grib2')],\n",
       "       dtype=object),\n",
       " array(['https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20201219/conus/hrrr.t22z.wrfsfcf00.grib2',\n",
       "        'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20201219/conus/hrrr.t23z.wrfsfcf00.grib2',\n",
       "        'https://nomads.ncep.noaa.gov/pub/data/nccf/com/hrrr/prod/hrrr.20201220/conus/hrrr.t00z.wrfsfcf00.grib2',\n",
       "        'https://nomads.ncep.noaa.gov/pub/data/nccf/com/hrrr/prod/hrrr.20201220/conus/hrrr.t01z.wrfsfcf00.grib2',\n",
       "        'https://nomads.ncep.noaa.gov/pub/data/nccf/com/hrrr/prod/hrrr.20201220/conus/hrrr.t02z.wrfsfcf00.grib2'],\n",
       "       dtype='<U106'))"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "download_hrrr(DATES, searchString='(TMP|DPT):500 mb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "Similiarly, if we open a file from yesterday, it will automatically download it from NOMADS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "💡 Info: Downloading [1] GRIB2 files\n",
      "\n",
      "Download subset from [nomads]:\n",
      "  Downloading GRIB line [ 71]: variable=TMP, level=2 m above ground, forecast=anl\n",
      "✅ Success! Searched for [TMP:2 m] and got [1] GRIB fields and saved as /p/home/blaylock/data/hrrr/20201220/subset_20201220_hrrr.t02z.wrfsfcf00.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:02.036464\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (x: 1799, y: 1059)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] 2020-12-20T02:00:00\n",
       "    step               timedelta64[ns] 00:00:00\n",
       "    heightAboveGround  int64 2\n",
       "    latitude           (y, x) float64 21.14 21.15 21.15 ... 47.86 47.85 47.84\n",
       "    longitude          (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1\n",
       "    valid_time         datetime64[ns] 2020-12-20T02:00:00\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    t2m                (y, x) float32 293.7 293.7 293.7 ... 271.2 271.2 271.2\n",
       "Attributes:\n",
       "    GRIB_edition:                   2\n",
       "    GRIB_centre:                    kwbc\n",
       "    GRIB_centreDescription:         US National Weather Service - NCEP \n",
       "    GRIB_subCentre:                 0\n",
       "    Conventions:                    CF-1.7\n",
       "    institution:                    US National Weather Service - NCEP \n",
       "    history:                        {&#x27;DATE&#x27;: Timestamp(&#x27;2020-12-20 02:00:00&#x27;)...\n",
       "    url:                            https://nomads.ncep.noaa.gov/pub/data/ncc...\n",
       "    grid_mapping_name:              lambert_conformal_conic\n",
       "    standard_parallel:              (38.5, 38.5)\n",
       "    longitude_of_central_meridian:  262.5\n",
       "    latitude_of_projection_origin:  38.5\n",
       "    crs:                            &lt;cartopy.crs.LambertConformal object at 0...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d505e108-c079-4480-ae3c-18e3b2727ef1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d505e108-c079-4480-ae3c-18e3b2727ef1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>x</span>: 1799</li><li><span>y</span>: 1059</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-59f43f8e-ba2d-4129-a749-07aae4bc2e06' class='xr-section-summary-in' type='checkbox'  checked><label for='section-59f43f8e-ba2d-4129-a749-07aae4bc2e06' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-12-20T02:00:00</div><input id='attrs-57887c28-9178-4ed4-9b3d-4bc5d4673802' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57887c28-9178-4ed4-9b3d-4bc5d4673802' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c6a3559-9c5f-4d17-95a0-07eee2fe7442' class='xr-var-data-in' type='checkbox'><label for='data-0c6a3559-9c5f-4d17-95a0-07eee2fe7442' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2020-12-20T02:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-171117d9-2767-4cdd-9074-c6b2e1d8e736' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-171117d9-2767-4cdd-9074-c6b2e1d8e736' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d53c897d-dedd-4ca8-a61a-bc053e9e5e21' class='xr-var-data-in' type='checkbox'><label for='data-d53c897d-dedd-4ca8-a61a-bc053e9e5e21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2</div><input id='attrs-9c8f778f-73c9-45b7-b62d-0c76fd6098d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c8f778f-73c9-45b7-b62d-0c76fd6098d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-936386ba-49ae-4e1a-b381-619ca45d08ab' class='xr-var-data-in' type='checkbox'><label for='data-936386ba-49ae-4e1a-b381-619ca45d08ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>21.14 21.15 21.15 ... 47.85 47.84</div><input id='attrs-846885f2-a929-4194-90ec-ab37ae1e4d61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-846885f2-a929-4194-90ec-ab37ae1e4d61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54886368-ae26-4381-8eb3-d1b3bcd83632' class='xr-var-data-in' type='checkbox'><label for='data-54886368-ae26-4381-8eb3-d1b3bcd83632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[21.138123  , 21.14511004, 21.1520901 , ..., 21.1545089 ,\n",
       "        21.14753125, 21.14054663],\n",
       "       [21.16299459, 21.1699845 , 21.17696744, ..., 21.17938723,\n",
       "        21.1724067 , 21.16541921],\n",
       "       [21.18786863, 21.19486142, 21.20184723, ..., 21.20426802,\n",
       "        21.19728462, 21.19029425],\n",
       "       ...,\n",
       "       [47.78955926, 47.799849  , 47.81012868, ..., 47.81369093,\n",
       "        47.80341474, 47.79312849],\n",
       "       [47.81409316, 47.82438621, 47.8346692 , ..., 47.83823259,\n",
       "        47.8279531 , 47.81766354],\n",
       "       [47.8386235 , 47.84891986, 47.85920615, ..., 47.86277069,\n",
       "        47.85248789, 47.84219502]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>237.3 237.3 237.3 ... 299.0 299.1</div><input id='attrs-53c21407-6fb5-4bcc-9967-d6677f7be94a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53c21407-6fb5-4bcc-9967-d6677f7be94a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3eb06c7-817b-482b-b915-e9711f994926' class='xr-var-data-in' type='checkbox'><label for='data-c3eb06c7-817b-482b-b915-e9711f994926' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[237.280472  , 237.30713868, 237.3338097 , ..., 287.6569408 ,\n",
       "        287.68361332, 287.71028151],\n",
       "       [237.27297501, 237.29964881, 237.32632695, ..., 287.66442108,\n",
       "        287.69110073, 287.71777603],\n",
       "       [237.26547368, 237.2921546 , 237.31883986, ..., 287.6719057 ,\n",
       "        287.69859247, 287.7252749 ],\n",
       "       ...,\n",
       "       [225.9351904 , 225.97171577, 226.00825329, ..., 298.97907406,\n",
       "        299.0156158 , 299.05214538],\n",
       "       [225.91986142, 225.95639874, 225.99294822, ..., 298.99437498,\n",
       "        299.03092868, 299.06747022],\n",
       "       [225.90452027, 225.94106954, 225.97763099, ..., 299.00968806,\n",
       "        299.04625373, 299.08280723]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-12-20T02:00:00</div><input id='attrs-bcdf7305-7a1d-47de-84f9-c285dcbb382e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcdf7305-7a1d-47de-84f9-c285dcbb382e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac3e0169-f808-4b14-8b8e-27964a832c23' class='xr-var-data-in' type='checkbox'><label for='data-ac3e0169-f808-4b14-8b8e-27964a832c23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2020-12-20T02:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64962895-20e1-41ae-bf85-6d94fb6e399f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-64962895-20e1-41ae-bf85-6d94fb6e399f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>293.7 293.7 293.7 ... 271.2 271.2</div><input id='attrs-f61b8b48-9f09-4dea-b645-4fd41421712f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f61b8b48-9f09-4dea-b645-4fd41421712f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4a43200-55d1-4e62-aa5f-055726e58fca' class='xr-var-data-in' type='checkbox'><label for='data-e4a43200-55d1-4e62-aa5f-055726e58fca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>crs :</span></dt><dd>&lt;cartopy.crs.LambertConformal object at 0x2b9701a547d0&gt;</dd></dl></div><div class='xr-var-data'><pre>array([[293.67682, 293.67682, 293.67682, ..., 299.11432, 299.11432,\n",
       "        299.11432],\n",
       "       [293.67682, 293.61432, 293.61432, ..., 299.05182, 299.05182,\n",
       "        299.05182],\n",
       "       [293.61432, 293.61432, 293.61432, ..., 299.05182, 299.05182,\n",
       "        299.05182],\n",
       "       ...,\n",
       "       [283.17682, 283.17682, 283.17682, ..., 271.23932, 271.23932,\n",
       "        271.30182],\n",
       "       [283.17682, 283.17682, 283.17682, ..., 271.23932, 271.23932,\n",
       "        271.23932],\n",
       "       [283.11432, 283.11432, 283.11432, ..., 271.23932, 271.23932,\n",
       "        271.23932]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-450b3670-45b5-4a4f-bb08-acad6e543a38' class='xr-section-summary-in' type='checkbox'  ><label for='section-450b3670-45b5-4a4f-bb08-acad6e543a38' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>kwbc</dd><dt><span>GRIB_centreDescription :</span></dt><dd>US National Weather Service - NCEP </dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>US National Weather Service - NCEP </dd><dt><span>history :</span></dt><dd>{&#x27;DATE&#x27;: Timestamp(&#x27;2020-12-20 02:00:00&#x27;), &#x27;searchString&#x27;: &#x27;TMP:2 m&#x27;, &#x27;fxx&#x27;: 0, &#x27;DATE_is_valid_time&#x27;: False, &#x27;remove_grib2&#x27;: True, &#x27;add_crs&#x27;: True, &#x27;download_kwargs&#x27;: {}}</dd><dt><span>url :</span></dt><dd>https://nomads.ncep.noaa.gov/pub/data/nccf/com/hrrr/prod/hrrr.20201220/conus/hrrr.t02z.wrfsfcf00.grib2</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>crs :</span></dt><dd>&lt;cartopy.crs.LambertConformal object at 0x2b9701a547d0&gt;</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (x: 1799, y: 1059)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] 2020-12-20T02:00:00\n",
       "    step               timedelta64[ns] 00:00:00\n",
       "    heightAboveGround  int64 2\n",
       "    latitude           (y, x) float64 21.14 21.15 21.15 ... 47.86 47.85 47.84\n",
       "    longitude          (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1\n",
       "    valid_time         datetime64[ns] 2020-12-20T02:00:00\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    t2m                (y, x) float32 293.7 293.7 293.7 ... 271.2 271.2 271.2\n",
       "Attributes:\n",
       "    GRIB_edition:                   2\n",
       "    GRIB_centre:                    kwbc\n",
       "    GRIB_centreDescription:         US National Weather Service - NCEP \n",
       "    GRIB_subCentre:                 0\n",
       "    Conventions:                    CF-1.7\n",
       "    institution:                    US National Weather Service - NCEP \n",
       "    history:                        {'DATE': Timestamp('2020-12-20 02:00:00')...\n",
       "    url:                            https://nomads.ncep.noaa.gov/pub/data/ncc...\n",
       "    grid_mapping_name:              lambert_conformal_conic\n",
       "    standard_parallel:              (38.5, 38.5)\n",
       "    longitude_of_central_meridian:  262.5\n",
       "    latitude_of_projection_origin:  38.5\n",
       "    crs:                            <cartopy.crs.LambertConformal object at 0..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xhrrr(eDATE, 'TMP:2 m')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example #5\n",
    "## Specify certain datetimes\n",
    "I really like the pandas `date_range` function for making lists of datetimes. Below are some examples to customize what you want.\n",
    "\n",
    "You can give a start and end time either as a string or as a standard datetime object.\n",
    "```python\n",
    "from pandas import date_range\n",
    "from datetime import datetime\n",
    "\n",
    "date_range('2020-01-01 00:00', '2020-02-01 00:00')\n",
    "\n",
    "date_range(datetime(2020, 1, 1), datetime(2020, 2, 1))\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-01-01 00:00:00', '2020-01-01 01:00:00',\n",
       "               '2020-01-01 02:00:00', '2020-01-01 03:00:00',\n",
       "               '2020-01-01 04:00:00', '2020-01-01 05:00:00',\n",
       "               '2020-01-01 06:00:00', '2020-01-01 07:00:00',\n",
       "               '2020-01-01 08:00:00', '2020-01-01 09:00:00',\n",
       "               ...\n",
       "               '2020-01-31 15:00:00', '2020-01-31 16:00:00',\n",
       "               '2020-01-31 17:00:00', '2020-01-31 18:00:00',\n",
       "               '2020-01-31 19:00:00', '2020-01-31 20:00:00',\n",
       "               '2020-01-31 21:00:00', '2020-01-31 22:00:00',\n",
       "               '2020-01-31 23:00:00', '2020-02-01 00:00:00'],\n",
       "              dtype='datetime64[ns]', length=745, freq='H')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# I want a whole month of data...every hourly RRR run in a month.\n",
    "date_range('2020-01-01', '2020-02-01', freq='1H')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-01-01 18:00:00', '2020-01-02 18:00:00',\n",
       "               '2020-01-03 18:00:00', '2020-01-04 18:00:00',\n",
       "               '2020-01-05 18:00:00', '2020-01-06 18:00:00',\n",
       "               '2020-01-07 18:00:00', '2020-01-08 18:00:00',\n",
       "               '2020-01-09 18:00:00', '2020-01-10 18:00:00',\n",
       "               '2020-01-11 18:00:00', '2020-01-12 18:00:00',\n",
       "               '2020-01-13 18:00:00', '2020-01-14 18:00:00',\n",
       "               '2020-01-15 18:00:00', '2020-01-16 18:00:00',\n",
       "               '2020-01-17 18:00:00', '2020-01-18 18:00:00',\n",
       "               '2020-01-19 18:00:00', '2020-01-20 18:00:00',\n",
       "               '2020-01-21 18:00:00', '2020-01-22 18:00:00',\n",
       "               '2020-01-23 18:00:00', '2020-01-24 18:00:00',\n",
       "               '2020-01-25 18:00:00', '2020-01-26 18:00:00',\n",
       "               '2020-01-27 18:00:00', '2020-01-28 18:00:00',\n",
       "               '2020-01-29 18:00:00', '2020-01-30 18:00:00',\n",
       "               '2020-01-31 18:00:00', '2020-02-01 18:00:00'],\n",
       "              dtype='datetime64[ns]', freq='24H')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# I only want the 1800 UTC run for a month of data\n",
    "date_range('2020-01-01 18:00', '2020-02-01 18:00', freq='24H')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-01-01 00:00:00', '2020-01-01 12:00:00',\n",
       "               '2020-01-02 00:00:00', '2020-01-02 12:00:00',\n",
       "               '2020-01-03 00:00:00', '2020-01-03 12:00:00',\n",
       "               '2020-01-04 00:00:00', '2020-01-04 12:00:00',\n",
       "               '2020-01-05 00:00:00', '2020-01-05 12:00:00',\n",
       "               '2020-01-06 00:00:00', '2020-01-06 12:00:00',\n",
       "               '2020-01-07 00:00:00'],\n",
       "              dtype='datetime64[ns]', freq='12H')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# I want the model runs ever 12 hours for a week...\n",
    "date_range('2020-01-01 00:00', '2020-01-07 00:00', freq='12H')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `runDATE` versus `validDATE`\n",
    "Sometimes you want to get the data in terms of when the model if *valid* rather than when it is *initialized*. In this case, you will need a loop to offset the datetime by the forecast hour.\n",
    "\n",
    "For example, if you want the 6-hour forecast valid at 18:00 UTC, you need to get the F06 from the 12:00 UTC run."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valid Date: 2020-01-01 18:00:00\n",
      "  Run Date: 2020-01-01 12:00:00   Lead Time: F06\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "👨🏻‍🏭 Created directory: [/p/home/blaylock/data/hrrr/20200101]\n",
      "🌵 Dry Run! Would get from [google] https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20200101/conus/hrrr.t12z.wrfsfcf06.grib2 --> /p/home/blaylock/data/hrrr/20200101/20200101_hrrr.t12z.wrfsfcf06.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.647025\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None,\n",
       " 'https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20200101/conus/hrrr.t12z.wrfsfcf06.grib2')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "validDATE = datetime(2020, 1, 1, 18)\n",
    "lead_time = 6\n",
    "\n",
    "runDATE = validDATE - timedelta(hours=lead_time)\n",
    "\n",
    "print('Valid Date:', validDATE)\n",
    "print('  Run Date:', runDATE, f'  Lead Time: F{lead_time:02d}')\n",
    "\n",
    "download_hrrr(runDATE, fxx=lead_time, dryrun=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Looping\n",
    "If you want all the forecasts in a day, based on the valid times instead of the initialization times, you can use a loop.\n",
    "> Note: the datetime in the filename of the GRIB2 file downloaded will be in terms of the model's initialization time. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "👨🏻‍🏭 Created directory: [/p/home/blaylock/data/hrrr/20191231]\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-12 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=11-12 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20191231/subset_20191231_hrrr.t12z.wrfsfcf12.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.864994\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-18 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=17-18 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20191231/subset_20191231_hrrr.t06z.wrfsfcf18.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.817400\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-12 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=11-12 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20191231/subset_20191231_hrrr.t18z.wrfsfcf12.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.804929\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-18 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=17-18 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20191231/subset_20191231_hrrr.t12z.wrfsfcf18.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.780222\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-12 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=11-12 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20200101/subset_20200101_hrrr.t00z.wrfsfcf12.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.863180\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-18 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=17-18 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20191231/subset_20191231_hrrr.t18z.wrfsfcf18.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.848489\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-12 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=11-12 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20200101/subset_20200101_hrrr.t06z.wrfsfcf12.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.890305\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-18 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=17-18 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20200101/subset_20200101_hrrr.t00z.wrfsfcf18.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.807006\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=12 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-12 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=11-12 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20200101/subset_20200101_hrrr.t12z.wrfsfcf12.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.808938\n",
      "🌵 Info: Dry Run [1] GRIB2 files\n",
      "\n",
      "Download subset from [google]:\n",
      "    🐫 Dry Run: Found GRIB line [ 66]: variable=TMP, level=2 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 71]: variable=UGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 72]: variable=VGRD, level=10 m above ground, forecast=18 hour fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 78]: variable=APCP, level=surface, forecast=0-18 hour acc fcst\n",
      "    🐫 Dry Run: Found GRIB line [ 84]: variable=APCP, level=surface, forecast=17-18 hour acc fcst\n",
      "🌵 Dry Run: Success! Searched for [((U|V)GRD:10 m|TMP:2 m|APCP)] and found [5] GRIB fields. Would save as /p/home/blaylock/data/hrrr/20200101/subset_20200101_hrrr.t06z.wrfsfcf18.grib2\n",
      "🚛💨 Download Progress: [1/1 completed] >> Est. Time Remaining 0:00:00         \n",
      "\n",
      "\n",
      "🍦 Finished 🍦  Time spent on download: 0:00:00.877510\n"
     ]
    }
   ],
   "source": [
    "validDATES = date_range('2020-01-01', '2020-01-02', freq='6H')\n",
    "fxx = [12, 18]\n",
    "searchString = '((U|V)GRD:10 m|TMP:2 m|APCP)'\n",
    "\n",
    "for D in validDATES:\n",
    "    for F in fxx:\n",
    "        runDATE = D - timedelta(hours=F)\n",
    "        download_hrrr(runDATE, searchString=searchString, fxx=F, dryrun=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quick plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from hrrrb.plots import simple_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/anaconda3/envs/basic/lib/python3.7/site-packages/cartopy/mpl/geoaxes.py:1598: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
      "  shading=shading)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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T9rH7eh7I/i9E5AdkrZxyyilTkjTTJTv//d//vfj+kksusRdeeGHx/pprrrGrV6+21lo7MTFhly1bZr/85S/bOI5tHMf25ptvtnffffdvBPTvbW984xvtKaecYicnJ/f5bteuXba3t9dedtllttVq2Xe9611TkmRaa9tqtex//ud/2mXLltlWq1Ukvqy19tZbb7VxHNvx8XH7tre9zT7lKU951H055ZRT7Dvf+U7barXsd77znWnZCGeffbb98z//8wMe11133WV7enrsT37yE1uv1+2rXvWqIonVbrftjh07itfHPvYxe/LJJ9sdO3YU6y9fvtx+4QtfmHbbl156abFf11xzjQ3D0LZaLdtoNKyU0t53333Fst/5znfs2rVr7V133WWttXZsbMx+61vfKr4H7DOe8Qw7OjpqN2/ebA8//PAp99BjYf/yL/9i16xZY7du3Wq3bdtmjzzyyP0mB++66y5brVbtT3/6UxtFkX3nO99plVJFsvOkk06yH/jAB6wxxt5zzz32sMMO2ydR/KxnPcseffTR9qKLLio+u/fee+11111n2+22jaLIXnTRRVPu/V9nf2dyn3Qfz/7uA2utvfjii+3Tn/50Ozo6au+55x67YMGCA7JWPvaxj9l2u23/+Z//eQpr5b/+67/s/Pnz7fr16+3o6Kg966yzprBWLrzwwv0e83Ssle4k81vf+lb78pe/3O7cudNaa+3WrVvtVVddtc+6URTZpUuX2k984hM2SRJ7xRVXWN/3Z5TsPPSokv3vh9fM6PVkTnYe0JFfccUVdunSpbavr89++MMf/o0cubXu5n/e855n586dawcHB+1ZZ51lb7vttsfsgDZu3GgBG4ZhwbSoVqv2K1/5ypR9Ovzww22pVLJnnHHGFFbNj370I4uD1orXGWecUXz/yle+0vb29tre3l573nnnFTfh/mzDhg32jDPOsKVSyR522GH7UN62bt1qlVL2gQcemNHxffWrX7VLly61lUrFnnvuuXZkZGTa5b7whS9McUZRFNlarbYPOye3V73qVXZoaMhWq1V75JFH2ssvv7z47s///M/t3LlzbV9fn73xxhuttY4FctRRR9menh67ZMmSKQ6OLtbK4OCg/ZM/+RObpumMjm+mZoyxf/Znf2YHBgbswMCA/bM/+7MpzIu97Ytf/KJdunTptKyV66+/3h5++OG2Wq3a008/3f75n//5Po780ksvtYD94Q9/WHx2xx132JNOOsnWajU7MDBgn//859tt27b9r/b30e6TTZs22Wq1ajdt2lR89mj3QbvdthdddFHBQPqnf/qnKfty5JFHTnkebr31Vnv88cfbUqlkjzvuOHvrrbdOWf6f/umf7Lx582xPT4997Wtfa9vtdvHdM57xDPtv//Zv0x7zgRx5q9Wy73nPe+zKlSttT0+PXbNmjf34xz8+7bq33HKLPeaYY2y1WrUve9nL7Itf/GL7V3/1V9Oen6985SsFu+zQo0r2qoePmNHryezIhbUHcRXFrD1m9rOf/YxPfepT+006PpYmhOCBBx7gkEMOedx/67dlP/nJT3j1q1/Nxo0bpyRK/y9bHMccc8wx3HnnnVPgy9+GnXLKKfzRH/0RF1100aMud+jRZT7+3ekT0Hvb+19e4he/+MVjsXu/dXtyI/yzNmM7/fTTH5NKz/+LliQJH//4x3n9618/68S7LAgC7rnnnt/Kb11//fUcfvjhzJ07l69+9avceeedPOc5z5nBmgL9ZK/anIHNOvJZm7VHsXvuuYcTTzyRY445hi984QtP9O78n7X77ruP8847j3q9zurVq7nssstYuHDhAddzJfoHp5zIY2mz0Mqszdqs/c7a6qOrfOiKNTNa9u9fIWahlVmbtVmbtYPRzIyhlSdvTPtbd+TPec5zHlXd77dljUaD+++/HyEE8+bNY3h4mDVr1uB5Hq1Wi2q1+kTv4qw9CWzXrl2MjY3RaDQol8u0Wi2GhoamlW/dsGEDnufNuJjlYDBjDPV6nbGxMUZGRiiXyyxevJhyuYxSijiOEULg+/6vXXOyZcsWdu3axcqVK6lWq4RhOO1yv0mU7Co7Z+rIn7zS3L91Rz48PHxQTF+++93v8sEPfpBzzz2XSy65hFe/+tVF9R5wUEuiztrBY+9+97v5zne+Q5IknH/++Rx66KG85z3v4Y/+6I94/etfP2XZa6+9lje+8Y1cfvnlB70zHx4e5utf/zr/8A//wNKlSznvvPN429vexlVXXcWXvvQltm7dyqZNm5g/fz5pmjI8PMyRRx7JunXrWLt2La9//esZGBjY7/br9XpRHbphwwb+4z/+g5e85CX7LHfiiSf+RsdhEegnuY7KTOx3P527H3vuc5/LTTfdxCWXXALAD37wAz796U/T398PwEMPPfQE7t2sPVns9a9/PUIIjj/+eMIw5Jvf/CalUolSqbTPss985jM577zzeOc73/kE7OnM7dJLL+XUU0/lBz/4AV/72te44YYb+Ju/+RuklPz+7/8+1113HT09PXz2s59l48aNbN26lT179vDpT3+apzzlKXzkIx/hVa961aP+hrWWiy66iHe84x2cddZZ0zrxx8oMckavJ7P9n8XIfd/nlFNOYfv27bzgBS/g7W9/Oy94wQsYGxsDnI7GFVdcwfOf/3xe/epXs3r16v+1jsms/e7aIYccwg033MDpp5/OUUcdxVVXXbXfZYUQnHfeeRx//PGkaTpFg+RgsR//+Me86U1v4rOf/Swve9nLpuzjnDlzePDBB9mwYQMPPvggf/VXf8U///M/s3LlSsIw5MEHH+Shhx5iaGiIt73tbY/6Oz09PXz+85/n7LPP5rWvfW3xeZIk3HPPPXz5y1/me9/73ow1XfZn1or/E6yVJ/cw9BvaEUccwZYtW/jZz37GokWLuPXWW/njP/5jgiAA4EUvehEf/vCH+eY3v0mr1XqC93bWDlabM2cO119/PX/1V381bceoNE255JJL+MhHPsIPfvADXv3qVx+UTtxay+te9zq+9KUv8cpXvnLafcyVTf/oj/6IX/7yl/zd3/0dL3jBC3j605/OX//1X3PTTTdxxx138OxnP/uAv3fDDTfw8MMP88pXvhKtNS9+8YtZuHAhL3nJS5BSPibFaxbQVs7odSBrt9ucfPLJHHPMMaxdu5a/+Iu/AODb3/42a9euRUq5D2z8d3/3dxxyyCEcfvjhXH311b/x8ezXftulpAdbGeyNN95oAfvd7363+Ozee+8tGg2Qlek3Go0ncC9n7WC3q6++2gJ2cHDQfuITn5jSJGJyctIC9q1vfatduXKl/cUvfvEE7un+befOnXZwcHDa75Iksffee6+96qqr7J133vmocggzta9+9av2tNNOs4888oh98YtfbKvVqv35z38+ZZnf1F8sW1uzn7r3zBm9DvRbxphCvymOY3vyySfbG2+80d5999323nvvtWeccYa95ZZbiuXXr19v161bZ9vttn344YftqlWrHnOpitz+T0fkACeddBLHHHMM5557bpHsPPzww/nJT37C+Pg44GRMK5XKE7mbs3aQ29lnn02apnz729/mpz/9Kccee2yhw1+r1dizZw9nn302w8PD3HDDDU/w3k5vmzdv3icJOzw8zJ/8yZ8wODjI8573PP7hH/6BF77whfT09HDjjTf+Rr/3ile8grlz57JkyRJWrFjB8PAwp5xyym+0zb3NMrOmEjNpLJFLDoODgJIkQQjBEUccMW2j6CuvvJJXvvKVhGHIypUrOeSQQ7j55psf0+PL7eCb33XZMW/9qPsnP8cCbNf/uRX8ku5rsdd12fs6iXwlCzvDIQBe85rX8L6bfoW/eAFJj0GWyph2i2/89Kfc/L6P0tj8IGwfZ96y42nNEbQWWPxJQWkYJldYwjFBc4lGpAKrLCIVqLZ7RfM04U6FTCEYAySEeyxWgpUQ9wlUBDIGq6CyW+NPakwoSSqSuCZIagLjgfG7zkW2vlUU2wL31/gWmQpksv9zLAwYz60/hUYrKNazKvvfuM9NdteYAKy0IEBot//g9i+tGaznNth3t6K+zJ2r9nxNOKwojXT2E6Cx1GICO/U6CbdtBJD9Tuf6286Flfn/0LfeZ+LoBITFGrewkPl2LKWHQuI1DiYL7i0THdp23+Pw1Hw7xTrZ+73/FwKENNlfixCWNPbQsYRnnkwkS5x6yhk8dfXr8Us9rA9uZdvNTuP9rW99K//U30BIi/SM208LJlHYVCB8m/2OBSMcAKoF1oKqK+bdLHjkNHdthXbX2V1LgUizayktIhHIWGTXyiK0AGGL6ycMqEi46yqhvXMHj2zawpHv/SgWw8jNP2bkf66j5+jjGHrjO1F9vWz2INr0II1//TTPOPelHHbBn7nzlc1du58rYd09IwwI4774xef+pLi8SimuvPJKWq3W4xoozZx+OINtac0JJ5zAgw8+yFve8pZHHXi2bds2pUHLkiVLpmj2P5Z28Efkj4ETh84N1v385xsYOumZyLK7kfZc/0OEARkLeo8/merxJ5Ds3IlpR2y+9NNsvu6r6FC4Zyy0BJnmvoqFc7DGbdOrS0zZkAymREMaEQt0KXO2HoVDttLtk9eCNMz23YKVAmEtIjHZg+Be+9Qs5J93LSMMyNTtk0hBaBCpc8YqAtWmGDRk0vXKl9VMcf6im17b9bAKjXMmqUCmFHqR3ecWcHeZhPZ8DdINAHQ9+MKCSJwzK47Bdl+k6S/m4C/9Ls8BQsL4UZ0dF5nD7XwA8eEt53ilRViQnkUoi/IN0stevkEoi1TGvTxT/D/l82w7UriX8nQxYFROPpahuUdw++b/oJnsYXTzHSy68I2U+xdk+2aLAUAqg5Agsu3X7gqQvkYo6xyycidEKIvxLUYBKht8PItVFpm44CEfGEUqsF72vZc58ezaCDv1mlprqd/1K3Z86bPUDlkLWrP9u19j8r5fseq172TB81+GX+11ywoor1rN8jf8CWmzfsCACcCkMWk0fY5JCPG4OnHXWELN6LV7925OPPHE4vVv//Zv+2xPKcXtt9/O1q1bufnmm/fb5hGmpzA/lv0duu2gjsiZxnFP68Sn+y77X+x7LqeaBBmE1I46lolbbqDx8P0IDX5dIJb2o3++GdNocN8/vQeAla/4Y6J+9+O1jZK0BH7m/KI5xkWmbeEeqCzSk7EbhaxnC8+SlsFvuIhqYH2D3cdVSWugMuca9whUrJCRQRiLSgQmyqJxm0WyebRqnBOzBqTuHL8wnShdWCDtOGlhsuUkCN9Fcc5BdA0Y+fa7zhWZE8h+lryxilHucI0HpmyK2QLCMrHaTNmWrrgdjgYgdO0bqeyE+lJROCZk128L56CckxfkJITRE/Ipg1vWZucB0RlNrBYugs4+t1YgMo+WHNVAio5TVcr9b6yYctiWLFq3kD+bIpstCJE5Y2nxvYQk8rC+JfU123a4afTN93+BOKlTK0fMvfhNtHdswCYKoVKkcusnbYmt+6As9VUaEkVQi7FGkMYKGWhMrMCz7D7RQmgwxs2EKBvSwCIiichmgv33CEaO01gpqG2UNBe6CN547lyJ7MB0YNn9rW/SWL+eZc/7fcpLlrP1yq+g0zbLX/kmAh2g2+50WuXuL2sEo7ffQDgn6wSWBR/ZpZryYFpruP2L72Zw9XGsPPPVez99j7tZZl7ZOTQ0NOMal/7+fs4880yuuuoqjjrqqGmXWbJkyZQGGFu3bt1vg5Xf1A7uiLzr4bd7OXC7n+X29u62K5Lver47N1y2/NLTX0q4YAm6MUHj4fvRAZQOWUU8PLX11I4fXs6u4dvovS+istNS22YpDxvKu6C2QVJZNknaa1AtgWwqqg9m8p5DbUQiaC1NKO+2VLdb4hr0bEkYO6xCUoOk6o7Dei469uruQWzNUQ7+kC6y7j5e44POKcu5o80i8jwa7/ZKInVON3eMVnad2+7Boeu8W9EZEKzqgmLybRpAWnRoO048uxZWWXo2SMLdMovMXVTZmg/BRAYJKdBhFj36FnyL9Q3Wcy8CQ899nhsI82gd59Sn3AZdd7O1zrHnB2EzWAgLJpUYLbDWwRVTzo+wKGmQ0qCU+yvY13F3r2OswGT70tffBM8Q73TNnZf+xftY+pd/iervZfe/fpH63bdTWXskwtcozxD8vEbgaXTLg4qGwFDZrLDaOfCk7SGVpfqLsvtNz2JrGtoSGxpMRYO0yJaEwB2wLhtGTkohG8CDCTdzctfYYqWDsIQWNB64l8lbbmbZC15LOH8RG77+SYSnWPG81yH9gGjAXZ+0kp07BdHILhq338aycy8qAor9QZej990CwKKTX4DNgpiRkRE+/vGPz6hz1WNhj1WHoN27dxf05FarxbXXXlv0Ap7Ozj33XL7xjW8QRREbNmzggQcemHGv0V/XDmpHXjiR6SLz/H32snlUkP+/H4c0rQk35Vn98j8GoHH77RiR0vrl3fQefRyyt5eekxzW1d69jeHPXoo/1mZihUAYeOTslIlVltIeS2NPGSop0aIE61nSKvjjEr+UEkxAz70+w8eC17akFdh1gk9pzLDg5y1WXVFn7AjN+CGW3odbTKwIaM/18FpuOm083MNZOCgHjyBAB5mDVl2DlaZw7DmkYz0XVRnl1inOdR65ZwNAjrl3n8PyTqbg8nvDXtYHjINavIZ0Ibp1s5P24rR4X1wPCa0hiAbcfuYwgFU2gxps4ZzrRyYOaihrrHQwQ4HPyw6EYnNIxohi/4SyCK/jgK2WnQgyu2+ksM5pC1DSFttT0k5x5jksk59/Nxh0XkmqqPS0CQ9fyLJP/z1yfh/JPMPif7qEyknrGP/O1ZBh2jqVhM8YRkpDdU6TUi2iendA84gIjMBECuUbdFvRPLlFUIsJeiJkKYWKRvgGEUtsKrB9CXgW42X4uhbufGvBnqPcOU2rZsozYEgZ/873Wfr8CynNW8zmKz5PadVqFr3gVZh+HxM4GC6pQaQniOIJTByx6xtfZei0s7nnU5cwuem+/T9XFkYf+EXnTbbc+9//ft7+9rfzgQ98YD8rPnZmrcBYOaPXgWzHjh2cddZZrFu3jpNOOomzzz6bc845h8svv5wlS5Zw44038vznP7+gXq5du5bzzjuPI488kuc85zl86lOfQqnHh9P+W1c/PPHEE2c8fVn3jo9OC6UUM7k8sdcdcWdR6X4H2L2ngF3TQizsfvDn7Pz+ZUU4t/JN76bR2sHIZZez8PnnsfWbnwVg7rFnMPecFxL3W4JxQd/DlsY8gQld9GIVeE3nFFsLLMEeQXueAd/Qc69HfaWh736JiqA8orEC9qxRtOdaKtsE4ThUH0kRFtKSJOoTxL2icNbGz2AN4yJyE9gC28+TjvmAZnwXoRvVidZl7Bx9WnHL2BxSIXPkueMXnZlMd37BBBQJXQDru+Qa0iXTZJolPEND9WGf9jzjknI5xJFDJbFENSXBuNtme3ncGTz2yQcIhw3b7P/c8uSyFs65W+Gcfm7C/a5QJnPGIKTBWoHyDJ5ykaFz4u4k2L28kzYdZ53fRnky1VrhMHNh8T2NEJZ27BPVA7efiUSUU7e8ABVofF+TJAqxuYx/yKRLlmqFTpTbNyMR0qBjVRyLH6akiaJ0a4X2ca1s0AKTKqSnMZGH1QKhBbItMaFxCc9EFJh42msQsUBGgvGf/pTo9rtZdu5FbPiPf8FfvoT5z34Jyshi+VjFjN7yY8auvRaUwiYJXqUHGYTEo7tYfPYrGFx7ioPbbAeWy5+v9u7tjD58GwtPei5CSG759FuZO3cul19+Oa94xSvYuXPnfh5UZ7+Ov5jOFq/t543ffPqMlv3ua7cfFPIh/xs7qCPyIppm6jNts+/yKLtwMHmipyspuE+0IPb9vzu6HDr0VJad+1oAVrzg9QTz59F7+DHI3ipbv/lZqmvXAeD191N5BHo2CuJ+S3tA4DfcNDYtW1TbOc60Cv6yOl4TBn8lCR/x8JvO4eb7P3qEYmKZG6nn3u4cs9CWcDRGxgaZGIyXYbR5sjRwEbUuZ6wF0XHwaSWDP7yOg84fTOs5fD6pQdJD4TAL6ERmg0TOgslhmL39YgIiFY5pkjlX6zkH7ZKmong1FzqHUtqlELFwWK7OknNVTTovprlMF2yKKbmRbP8qD2TTBy0c7p12XrKuELFENhWq7rnfaCj3vTLZXW4LJ648B2t4vsb3NOn6PpTsOGEgw70zqKLLYef3n4CC2SLE1BEn1YrA0wTVBBlqRDlF+gavlFKuuVG2Wo7o62lRO3IPgZ92fj9z4urBshsgPIsfpkhlSGMPpQyNtTFkSVLlGzdASUAZF62XNMZ3eQnru8E2H3xF4gYTE1qaN97C0InPYPctP0TM6WXeOS9FSOlmd9k9tuHDf8meq67CpilozeCxTyFtTKLjJgB9R5ywLwTaNfstzV3E4pOej5ASBExMTGCt5fTTT2fXrl189rOf5YorrmDjxo08HmYBg5jR68lsB3eyky4H3oW7dt84Be6dO3XTWX4Kri7YN/GZbav4PIvmq0sOIZy/kMbmBygdtQZPS8LB+STbd5A2HE3FzKswsRr8CcBAcyH0PWBp9wjSfk1pxKOxQiN7Y8LbeogGnVOs7oDRYzSiN6F8W0hSEWCgNGYRo243orkW4wsaiyv0bHKRdlKBtNaBQ3LmgS67SFTGmUPPjkWXM/pjnDtdt3zS444xd/oyzc6ZcNPotOqW64Zo9j5f3TOegv2QbdNriQJ3F1pgU0FpWNIe0qT9Bm/cI+3twkazaJmyRkUKa8QU6CK35iGxg2m0YwyRiIxO15kNWOmOWUYSE1iIJfgGMqaJg2Ec20RKU8Am/rGjyCzJqaQl1SLDwsmcuUQbUSRCbYaJF7i5tB0cHRfVWysohzEtAmrX1Bg7o0VPbzvD3y2tyKcUpChpaEU+QoDWEp0opGfQh7QwiUteJpHnZgu+RmahrpQdqMgvpaSxQoXuvBrA1ixE2WAmrKMmtt2DoSsG027T3rOLtDnJ6L03s/j//T+Qwp1y64IBqWHoJS8jXLUC0VfDPjLOrq99haELzqe0bAU7/vmTSM9zswKdIqxAKOXyGF3PrO16XkdGRhgcHCyqRv/wD/+QwcFBrLWMjIw85qwOiyAxsyX6T6g9mhPvnvIXjiOb0uWJwekSpVOsy9l3J/VUWGL+ac9n4pGH2PLNzxLLNnJePwD9xz+N2tHH0rjnbnTJktZg0f8Yhm4z1JcK/ElQTYnxobpBMXegTtxnneMMIC1BsEex8LsBjQUCv2ForEop7TGkocPcTcnQ97Bl0U8cZctruXjBig6kokPQJTuVkmgctGEFyMgxQEzGD8+55349i7ozKCaPvlXLOfm9OeU5VFVE6Nn5FzqHaTqRt0wEOrTF9q10g0x7vkZGEmEExreEj3gUHPH8UkjjZiJJjl/bjDueLZclLIUWkAhUSyJy6mMs8OoS1c5poYaBuyUyFlTvCaZNTuamMvqgg04g1RJtpIM5tHs8lHLRQZEIzbByKd17JU0WzbuoPc3Ws1bg3VZj8pmOMx7FHqmWlIKEcpiQasnEHXOLdaQ0WC3QkYee9FGBRio3c5AbysVgE9biIkmbxgqjHbQjhHWzlfzm9qxLiLZj6g+sZ/yGnzF22/8QPbCB+v/cRHX+crbf9H2GXv/7lIJBTGizwdiddh1aasccT8kfxE8D1NK5LHz32+g57njSnbuQfkCatLACHvj6P7LxB59zz5TsPE/tyd1s/tllPPC9f8Fgefjhh1m0aFGhSTM0NMTFF1/8uPPIZ/J6MtvBHZFPB4tM48SLr83U5aZYJ882Lfy69xe7bv5vop1bkctWs+WTH8Vf7WhDO79zabasoLxD0P+QpjXHYdheA5qLoOdhSdQPcT/oZolwTJDUoLbVMr5aUNkO235PU3tA0h6QCC+lNcd30bARWN+QhorG4pDycEpaUeggO2ZlM9jEoloCE4CM3EMH4DUFacWSVCwyEs7ZWxexgxsAhAHZdlQ0obMkasiUJCpkDl1Y8sxfwVTJlpNpZ4Ao1vEcR52MEVI81J5LvAktiJfFiGa2sbLO4BJFWrZUtiiah6UumaldIg/jBjiRDRo9GyT1ZW72IXQGU2WwjvEtlA1jawS2L6Ux1zlcqQz+XVW8BqSnT2Qcc+fAjckjbpf0zLNG2gqMVUhhCXxdOHYwLvoUFi9z8lJayJwxSFItSVOFd8IENnEslCLKx9KMA4wRBEeMYzL8XRt3srxygtxShYG2u9+NQBxax2RURKGym1lp950HaeQ+N5MBc2+W7H5qiiqlDs7Yehcjn91Xt2TgyJPQNUl52XJiYZCJKx5z96E730iLLrm8ixUig+oEI9//HvGe3Wz85qdZef7/IxrdRdpu0hp7hHRiHKE8Jh5ez557bkG3G1Tmr0BIwY033sjpp5/Oc5/7XMAxQb7+9a/zmc985nHhWOeVnb/rdnA78m7rip674ZT8u27OdPF5VrE2BQrodvbQ8ejZ9qUBqzXRru2sevU72HLlF/EWDhFv3UnvEcfR2PYwptFAeB6V3Zb2oKI9Byo7LWOHCgdPlF2EWzpplEYzRFcdd9pKQTgCY0cYZEsR98HAA5rm9oDK7pSJVR4Tqx0XvTUPyqMwucQn7nPHpUsUTlO2hYugJJhMj1+kEPeb4hzlx25858BV2y3jJXSqNelE27ljzM+JTMFKB5WoeGq0ntMQXQRmsyo+gTcpCpqhSATSgj8pSKsWLcFUNOHGgGiexgYZMildJBnuEaQlQEusxsEn4AaA1EX8WGgstlmlqYvAHdMlO8dBFpn2J9hEIhIFvTHWSOK1TSIt8IxEG0iFLJKb+s4+5NETGDIIxTinLaXDCYwRXZi5co4bF3W75d33+Xvf02gjSRKF0ZJSJcYYSRQLZJhH8hAnDvfW2o2XqpS6QeaISawRneSndQNNnjC1RmBSDxMpkli5qs9SiqgmqCRk4Fafiae6bdWecgzVk9ZCFBCOe8SVhE3vuJiJHQ8w9Obfd+dXOsetA4r6BytdYGC8bPDXYDJnO/fVr8Q2InZ+8YuMrXcUQ92s88CX/wEQ+H0DJOOjLHr2K9h+9TdZ9rzfJ00jjj766H1URBcvXszznve8/T/7v6E92SVqZ2IH9xGKzqubgtgNp0DmxEUeQWbLGaY4+tymozQWSdIu9opQCub2sOwN76BnziqYaNHc9CBh3xBWp+B7pGVBWobWQsOewwWVHZD0WryG28zYlj6sBV2x6Jpmz5HQWG4Z+qUgGJX4DYhrEpHC5GKPgXttwfetbbUMHy1JK875Jj3umEyQUfT8zjEYz2J8g67moxSOfpYX/Sg7tZKvCxrJjzd3zkK7qXWOkedshPxhznnsrrjJOXGZiAJO0eWsBDzbOZHm+wB4bgTWJfAmXIKyYBFp50TSaoZttyUiksiWQrYlMisll1nZuUyyalLcvukwi/ilg2SEtAjPYJXFCzQ6UuiWR2l9maTtYbQgjb3CYat14wXGnX8msgIik9EK82Sn7zmsupvhki87tUBIEwQppbJz4koZPGVoxy5+SrXEQrHtPOJPI8cft1agfF1UqCZNH+kbSuvLU2BGspmKtQJrBI+cmTLx1JaDaVoZkyUO8eseOrSkLZfnsUZTGlyKGUiw0mJKBlM2bhaX5R/Sikvcd9hg7hxVhpZRWXUo8151ATt/8n2WPvtVBPPzZsiWZNwlfLZf/U0AovFd3HPp3/DpT396itb/m9/8Zi6//PLHreLRWjezmsnryWwHtSOf4nS7Hfo0DnoK3pp2PrN7Lyv2/W6fpKivqB56JM2H76e3XqP8mmey4k/fx8JnvJjmlgcBMPW6oxYOweAdTm/FKlcROn5CTFoDQoNOFN6kwN/tOyikZBg9CtpLEtpzLHGPIJqrXcTtQ/kRQfiIx+6naErDMPBgStLnnKguObjE0SxtQfeSWeIv19VwFMSMdpa6Ay2ohbYTiYu8rD7PL6SdyH+Ko4d92Cwi0/kQxQCQ6X4EruDHSutkALJrIRJc4g1cstNCuLuThFKTyiVlLY4elzlvmWnVeC2RyQFkcgIRxQDU94Cg737pCmoEWRl9x5nHu8uoUopXSYiObiGGQ5Z9xmPw6pKr4hTOeXfTC3PHnHPDTYZjp1qRpG6/PdUpGsrXAefYc9zcU50oXRXLQb1eKuiOeURvtEQIS6ka44UaIS1ppJDKoBMJbUWwvuJmRka644tlh8EDDrsPNCbNHu2mItjp49UVXgt01VD/8c8BqJ52PMITEEus74q5TL+7YLpi3KwtdpTaPFCyonPehYHqYWuZf/o5bLn6q4jUHV9t+eEsec6rWHXe/6Nn9VH0rDiC3bdeT2nuIk466aSimQvAy1/+cnzf5/G0x0o062C2gxta2Qv+2MfxZk5oinPPnY+cuvw++Ple2+z+TSuA1CCFj9BQ3agojcKWRqfXaLh4KSaAyiPgtyzeDhh5YZOkHmC1c84LFu2h9V/zaM53dK/qNkE038Eh5U0+UkN7LgRjiuZCx/jQAQTjEM1zznf0MI/KDoh7IRp0yUKRCOhOxNssCUg2PY9c0jVnn2Az3Fo41kseeRu/g3HnzJU8AZpzgYvkpsmeX9lZtvt3TRahC+3wapmKomqT7m1kLArrWaIBDU2F13CJy7TmcH8Zi6IiVejOYC5jV8rfGnLfVXY6sbKxI5wTEp6bmjknbhBK4pdjqDloxKQO4ijdU2ZiZUDvhpjRVBbFQEkGc3RH1Z7SRLFP4KeFk9e5YxYGT7qoLzGqSJoCDu/GOftUyy4s3WC0ore3RRR7hYO3XhbVZ3g5FtLE4d7WCrxAYyYcPCSlxQd0IlEDEXo8gLLGtDxHPxRgIwnGDegA/qTLX+hojMnrnWZ6z9NPcpG2FoV2Cw2FzQZiEUs3qGdJZittUU1b0FoNVH7vqSxcMYisVBi94rvUN91HY9tD2DSlsnQ1zS0PUV12GCuf81r+7u/eizGGd73rXQDMnTuXx9NyrZWD1T7ykY8ccJlqtcob3/jGR13m4HbkuYm9HG63I+/Cv4FOUVDX+ynr7LXdwql3OXZhnNBPGAdMLofybth07VcY2Xhrseqii95AGmVaIRb2HC7o/88KxhOMPCVhyaG7GJmsEq1wDq78iKC+zLrilzFBPMcQ7pakVUvPRsHESovXEllRj9um1NDqg9p2g9cWpNXOiXCCVXnxke1op2T3rPFBpc6B58yWjl6Jw/Fh6gDXXRBkAkB35Ry6GUPZb8jEvTdqqtOX0dSHvfjdNCvUMY5T7KLwTNjL4DBxA2QYvg5w2i+WIlnbHsxmJ6Fz4rpHQ8nxwv1SStJ2jJjKjVUmjo/Q0mKSDCqRlijyqUaWcMIwvjpEygZJ7GEtWdWmQGU3jdYdJ2+tyLBsiZLOubYTv3D6ZT8lMTKDCFzCVElL6KVZUlUSKE1qJCqbpview7tcBJ/Sjnx8332XQw05FTOJPFjcRlhB0vIy5+sYM6Li1pHVBJO6qF4oB1FZ4aA94ztKavMX92PihPDwVfhz52HjbDDWAtubuBMeGJdfyElDXdo7+fXML7iwYJSlceedTPziJvqfdhaLX/sGZNvlLXwdgpcNzNns7H3vex/r1q3j+9///uPeu9TCQR1tf/jDH+ZNb3rTo/YI/td//dcntyO3ezvo7sg7/2yv5GbuZA547bqi8n2WFxDv3knjkFH6LdSX2ilOHKWQPVW8MRDGEvVLvCaMHGfpWbWHoB3QjANa9RDKBm9ModqgezXemEc84KJqXQKvLqgvhcG7YewwqOxwv1/aoQjHDK25kvFVksojlsoj0FhIIV4EzlEbX2Sl8xkWnj1sJgTyQSHNIREHnagoW0ZmYln5Q5qJZ+XLyySnPHb0OfJkmCvhFkhc0UX++47qLIrzagUuEdqiKGxCdIl3Zdcxr0hNK+73TOCORUXuXMkUtASkw9JN6HRY8sKcNHEl7dbC5IltlHJOvFvOVnmGyRfUEVfWnExCrArKnvSN02AxDs4QOPzaOWJIUr+AUZR00beXRcyJkUgsUmpirTI+uiRQAl8afGkYuW0epSPHiO/oZ+DkXQVjJjfP0yhpM8fjoKEk8jDZ4IQE6WcnWIH0THFcXqDdIGYEMtDoWDngNIu0VVtCbJi4+kdgDbVTToJEZE47u0ht5Yq7suSy9aybQWWOu1BQzGA961ksDtpTVdeSzZ8zl3hyD41f3MrI/1zLvN97IXNOOsNV+yr4+7//e7797W9zww03MDQ0dICH9LEwMWPRrCfCXvOa1/D+97//UZdpNBoH3M5B7ci7bR8n3i0GZbsihWlXZt+EJlPX3xtuScZH2XXV5VSfejKoANXXix53SaLaccfjtdwUv7pD0JwP7VUxcsSn3iihmz7jqQLjqhfTwZSJfodjeg2IMw44AvwJV7qvQ0k8lKArCqOgskMyeoSkuh0ml0N7UNCz1RD1yaI0X6YdJkkwCVaIrHQ+G9By550zevIEps3K+rOCoFzBMIdcZEZJzJ2yikEHLpFofTtFuEqHFDCMiMUU2CWfVXRX3OZJ19yBy5QiqYqkQ7PEOYxcilWkgp6NgvE1Zh8tHZFpo1gtsMJmTA/bEcrKLqpJJUnm1Hc9M3H3RctzkIzEFeAIMJai4MfzDNpIPNWp+gQyJ54VF2V4ukagjSBQLkHpSUPguTB0vFWi95hhlLDUTumUpQthqT/cDxaCZfUisapTmTFTXFmt8N2AZbVwGuZaoNseXiXFJIo4w9eDauyKg8opqfGwsYNK0ppl56VfJt0xTPmEtVRPPt6dm3yQs25mkP9GcQ2VxQpX0m99F02VdwraQ24lmQii+x5iz/XXArD7im8Xx+bNmUN44lGOiQSM3Hw9n994D9dff/0Bnfg3vvENzjzzzEddZqZ2MFdtducL9rZbbrmFk046iX/4h3844HYObke+t6PN/s+dQ+G494JTum3vAaD7c0eZYyrEUvy2pO/k06AWICPBvLe9idaPb6F08lFUFi7H3w7l3ZaJlYKezZb2Khcx6ZYHWXJKBhrTUAVujBVEcztZR39CkvRBOCppD8KC6z12nmboechNK4yC9hy3n2kFZNJpRJHPPNJK5284CkkWXReFPN0wkwYbOOebF03pXBscprBAioRoNmCq2EX+OXOh0FiRHQct9dTzXUA1mXSulW6ZYiaVT9szMbCC3pjNDLqbZNjAMn4omN7UsTCMcFWbwmK0pOeXIZPHRu7YtQRrkJ7FptmNlDktF+w6KKGoDs1/KNuebvoIzyJ9naMBTh8+c9hSuuRkjnvnuHjOLtFW4glTJDcljm8eKE0r8VFZ4jT0NNaCf9gIceKKhbSWhRMH8MIUa2Sh5OiSnNo5Xc+i2250tlkZfpxptJgoH7XdepMP3kHz1l+h5vQz9AevRqYKU9auAIvsHtB0FCMNoGwxoFmPory/PS8r+5cCs2OUbZd9idrKI6hvuKe410qrVrPkD9/iZn1Ryuh//YDGA/dw080/P6CU64tf/GKuuOIKfvnLXz7qcjOxnLVysNozn/lMrrnmGgYGBqZ8/t///d/8wR/8wRQZ3Eezg9uR55Y52RxeMd1J7m5HPN2qXU4DuhxNjovLLqeSfRePDoM1eHMGEZn4UymcR+nFz0fGgnA3VHblFYwwuhZqd4U01rVRnkX52lXcpRI1J0tGaVHsi8N8pdMvN66wKO6DsUME/rjz0NGgE91qz7X0PiwIJixpWRKOObVA62faGSaLYiXEfZkDzqmGOaaNc8RCZ07cnzoYAE73RLmCEKs6g1yOc+dNKBx3PDvZXTOZAlJRnfd+3e1rDqE4hk1nvaICF7dfadUWswKsg21s1khh4c9gx7MTEFC736dxVOQglQzbbpzQgjSDSXIqoNQIKbHGusjTCmhnP5jBCYt+ApNLFJOHaEgVjPoEkXNYSY/B9KSoMCVJMu64AN9LsFZirMhK5h3UAg6KCYKkiNLj1CvK+rVxvPWRhwcZXLmHWCv8HCPDFRVZawkCh6nnBUdRlMteWvxy4pgsnnHYvwQiiQgNNpZIP8VECuFrkBIjEja/3kV9wbIFLPjLtyKiXETezRKRFlPVWbONDOMXFpFKUBkzBgrKqYwFe372Ixp3/QqbpCxYeyYDK47h3kc+zsCLziXauJFwyTIA6rfdzvjPfowSIYe89P+xcuXK6R/ULnv729/O+973Po4//vgDLnsgswjSg7hE/41vfCNnnXUW11xzTTFL+drXvsYll1zCD37wgxlv50nhyLubIExx2NM48b0H333oh3Te7yPFmj3jY/c4PNwbmgOpw2itAK8hCMahd7NBxZaoz2Hj8YChvhLK95eQJ4yTJIogTInx0JFLHpFIhz/mbI7QgBYEuyVJzTnM9lBK33qPuN+1g0vLEIy74qDcI9e2a9KK6jBPurrtWJWdkqwjUI5xYzIcPBNCKjjhhqJNWN7yy3od+EPmnYViChaQlzvz/LRlg2veMi4/59ZzwlwynjrzyROjIvstHdARAsvFv2RWramcBPCCnye0hjyGfuKz+4yE1jEtSveVSY5skleQAkhPZxGzK+KxRmIiz2H6iXRRuHCDlvAsS//Tsu1MxarLW8z/hYu6R48sMff2BgjBQy8vu+YNwmKNBOX44612QBCkNG8bpHTMHryM6aKExcs0wXMnnyfacnaKAhYeurtgwCQZ7XFyew+VBfVi3dBPiRKPJFEZayUlbvouuixmjgKbCEQsEW0JNY1u+Iggax8nbeHE57/z1VRPPALdUqCFY/lkbBXrO0qSqDvNdxtk5883buaVz7AyjFxoGLn6P0Fr5h1zFvPXPp37/uvT9D7rTHqPORF7wgnoh3fwyJe+QP3eX+HV+ln9uveixMzczRlnnDGj5WZqBzO08od/+IeUSiWe8Yxn8N///d9885vf5F//9V/50Y9+xIoVK2a8nSeFIy/ggb0x8UcbaGdy7aZx7gBp5JILO7/0RYKBeSx538WuUKbtItv6IkncD/0PWJqLMu5yLaHlWUpaFi288n6OFgcDOMEnFwWJrIgmGjSFPriaVHhtaGQ0PBV3ON1eyyJTaA4p15Ahm5kIncMeHbhJZufIa7lqTqTTeEkrLupVUS6H20lg5ZbrmwsDqkknp5Diom3RgUqE7TBL8t/vZhiZXFIl6Zxb2VU5qsOcDtnZASuy6lqZRYAINj1PseQ6w9YXpS7BJyA5solJJbXbSjRPcg7daIH0DTpyPyyzFmk2zZxdDvUgClhp9WUthDZY4apI597RRBjb4UtnDBUydkqaSmxWsanWTmT4uUEJh5U/snmQOUvG8GXHuStpSLWjJ/pS4ytNK/WJEg8lLJGW9C6eKDRXrBVMbu1B9CX09LaoT5YQPnihxvM07WaALSARAdUU21bFgIawlGsROz57NQAL/+IPqa5dRjzuI1sSW8ui77bXkf0NDNZP3cwROtvK8jwylqRbdzJ5121EW7eA1hx5wSWEtTls/Mk3iG2T+U89o2g79/Cn/xGAniOOYcGJz0Yqj9+uYLazg521Ai7hWSqVOO6441i2bBn/8z//w5w5c36tbTwpHPm0GHd3A4Vu2ORA25juZtprvXRijKHnvJC0bBm/+lpsaqgMK3QIrflQ2wSV3Zb6IoE3qfAOnSRq+RBqquWIJO0UjVgjXM9FCUiJxSCy72Qi8Brux4NxF/02FrlijLhP4dezzjnKEkxavJahvsijPKxpD6gpic0Ch87fGwjH3PEaH2TeVCJxswuZgMgKiNKydf9biv6d3frkRRGQ6UTfVhZwuZsN0BlcpySUbYa5Z/9bnUff7nNTsp0GGKlwTReswIQGG1iiJRo8w/aXGwJfF6p/QlhaSUh9hSvAFtIgPVc96dci4shzicJIOeZGxosWBpb/Z8yGF/tUt7Wy+yYfZQRYW7xfdlXCxldITGKRniWaDLMZoO3qLOR44kq44qDFK4YLbDyPynNIxZea1ErQZNCJ+1nXyMLQjv3svSFc0ESnkihxFZ5J7KE8p2EelBNST6Ejz/HMjXDsHS0QZYfqT1z5I8b/80YGX/I0ykcsJ2l5qIZyTB/PwTAoC1XtuO2xy+Wo3tht1+ICj6RTgFb/1e2M/vi/mXf0max+zfnIWo1me4TRe2+mduxx4Et3n0QgpGLJs15B/9oTO8/cE+RPD2bWytFHH40QAmstzWaTkZERzjrrLKy1CCG48847Z7Sdg9+R53Bs5kAK3LfrpigKX/ZaZ5//u96LLo5097astTQ3PMj8570UOdjL4ClnYqXr9FPd2kk+Rn1OV8U/zDFZytWI5rYe7FxByU9px35WlJJNrZVFepo0dQ+JasmC4heOQmO5obZB4k+A11QkPc6xG9/iNQXjqwQqkngtGF+hCq3x4lhExiAROSXR7auMOw7Yn+jI2ObYOdI5d8iceNxxxPlvGNVx7sZzM4AcyumWRSg47FljiTzBmUMqOUNGB44a6Zg7DpsvSvl9p9iH75ogA52uPIICNxbC0tvfxPS20UaQaoXw0g7ZImN2iJ7YwSupGxxkLNnwIp9V/xGT9Ph4zTRj0GQHnbcMEgKvpVn63YDNL4Al/+Eqfzafg2O5eBTJT4Ao9fCUIVQpqZWEKnUMlAyfbadesc5kHBInntMh7xr1PKUxQpKkysEwgaFVDzGxwvoGP0iJJkJ00GnybG2WsPWNu6xjAal5hO1fup7w0GXMueCZGG2hpTD9iYuwI4UIDKLlFCWtkfjDPsncJEvWW2ysCppp3m2p5ymnMfLjq9n1qx9TXbCC2uFHc98XnG7K3Fedj/Etqi3QI2NYY6gtPnTKvfaE+PGDvGrz+9///mOynYPbkXc78Tw5uZfjhS7Mdj8OvFi/632R5Oxe1kJrywa8ao1q2ksrW89knXLiXiiNQHOBWyepgtnYg7e0QRikeEMtRodr9A02HHVMS5TvAGcdu8hQZPuvywZvWJLW3EGVH3FVdH4d6gst/qSDVlQk6HvIoiKXXI36JbrcSVoa301lpzSPEK6EPamCDBykIqzD3fMiHodDZ8t74NUdjJP3/yxK73Pn61HorORNK/LBsFv2FrrYLzl+Lzq/mw82+W+Y3CFlMw/KqSsz92yhHZ53qs+76OSNGKLEyzRPHOWiFKS0YxfBogzlWuokaZWFskDHioXfE/h1zcMvDVj1HzGIvJmzmKLd07lZXCQfjCckPY6qKHJMGQpeecl3v5UIVUjdRtrtXyPxsVYw0SpRDWOa7YAgK/zJk6V5wZBRhiRVRJFf3JthX0TS9khT6fRjtCuokp5Gx9IlbnEJz8rSSTb9+WUALPjzN4LVyKxFHpErEBKxAK2wPSliwkPMiUjnxe48+wbd8lx033YVtzIFIs3w967ACyuE/fMJ+ubQ2OzkKuZecD4ikMUtMHnX7QwcfiJ+rc8N+OIJcuJk0MpBjJEvX778MdnOwTvngKniVvDod4Po+ts1ANi9/s9ZK92l493bmLjrl/QdfWLWhMFMaXYcTGROrQStRbqoqIz3lIhThe9ryj1RwcfFQhp5Tm8ldNrSfi12uKuyRHMNxof6ak1jVYIuObbK4F2Q9LgGxUO3GaJ+wZ41kqQiCceMUzHUjtWSS49iHP7cs8ntZ8EQEQ4rz+VJu0v2RcYHlxnGnidAi9OROepCEVF0ImyZZBh32FletTuDQ/4A5+3iTMZ9z7dpMmjMqkwzu6yhrJGecVWJwhXveJ6mek0PrR1VTMbkaEUBxoqC290dpefVkr3ldlEmL7ISxcXf8/AnUzaeK1nx3bSIwt1+CKyS7iUzal0gUZFlxZUGHTgsSdS9Ap/OeeVJqtBWFLopKjuJ3e3ilDDOicc+tVKEMZI48RhrlGnHHsYImnHA2ETFsVyMKKpV00hhU+kcsoCgGmMTgUkcX5yqa9osPU37/k00frWRyrqV+CWXTzBZwZNVmT5PVtSldvvYvmRKwZSJXP0DxlXoCgOmHbH5Yx/GbB/mmBddwhHP+2Mqg4shjhDlMmpOnzuHvoUEJm+7hYHDj9836HqCMPLUyBm9ngg755xzHpNlDuqIvKjmhBlh2902ha2yF0Y33UxLWNDNBhN3387Kt7yb+nznbJM+l7lPy5bxwyDt08imQtQStPSQmUpfe6xEub9Nkiha9ZBqb9sVpliLTSXJhO8w6IEYJARzWsQ7K1jfINsStceJRiVVSCqC0m7AwJ7DJHG/S75NrBLUtjicN9zj8Hq/7tgt4R7nHFtDzll2F97k2indEIiIKLTIi4rOgKI4J3fsmK5t5Ocp6MxUkA6jzWEUpw8+NfLO9Vxyp54PBsLgEqi+Kyn3SgnKMx14JIt2x44wrkkCFN1yIukYHeVSQslPMDiKn6cMoRdlpfCumGfwBxXCcY3XSsHCiitzWo7AKIEVWVcjKRDGIpHZjE10Ep8ZoL3oetjxkqzhgzIYK/C9lEDpojOQto4PbqzAaAet1NshceyhPEOj6UY/z9ckkYcXaNqtAM93aom+p0mzoqJ223dYfyagVelp05woITxXuGNENsB4hsHyML981xcBGHjh6VlRlCCpB6hS6uRcU4UNLN6YIu3Pif8WGeqiJ6geD9CPjDL+PzdTv+120tERAI45/0OIwEdncGHfsqPoe9rpjF/3Y1BQXXooO79+KUJ6VJcdOmWm+0TawQyt/OxnP+Pcc8/d7/fWWu6+++4DbuegduQwFVKZ+sX076elG+7vuxwWzf6O3fZzaocfhV1Yc63CFNjsS68p6dkEzfke0ZwMm6ymeIMpShkCP3USpcrHhgmtRkBQStFako4GBGOS6lbYc1RI74px6g/2Qymboqcu2QnQu9s55HBPVgCkXNPlalYMmFQdh318tdOvkBH4iStO0qFzSEnFKSnmswgnD+vWz4tucry7yBPkeHtKJ9GZRey5Ey8ccn7+8lL9bDDInXXO+e/g6NYVS+XyCR6up6TMvjMQ9sYFfNKtIiilpWfVmFMgNBKZqQkmiUJ5LtE4HpddkjPruZkCUeyTJIqF3woRxrjBSIniWhsPTOix6QXuHCzLoEqpBUbYKYn0zixOkJYEnu8w6nbkZ/sDqdIu6ZmV2PtZ8U+cKJLEo1yKiVo+qXFVp56vndphdg57elokqcL3dCYL4GRugyAltg7LVr6h3Qqo9DpnXhloF+ep8eOb+eU/d3jH4ZwqoZ/SaITO6Wc4N4kE35BWbCdCz1rhSWFds+dIMvb9a6jf2mlEfOQL3gkl58SL2ayB5QvO4o7/fi/tu++lum4djbvu5Ijff5/r0dn1bD1RvvRgbyxx5ZVXHnCZIAgOuMxB78iBaXHxR/1+JhBM/jaPFixMrL+doee9kHBU0FxqHPfZutZt/oSj8PVusuweBCZ8rLLEqcQruzLIKHY9D611pdWtsRJCC/rvl0yusEysFtiapv5gP8GE0+ewC9vQLKHL4DVAtS1SQmnMsOOpkt6HYPAeS32Jc9LBOCRVkT2I0PcQpKEg6hOURwxp2cm9ptJtL3fCRYl+xkDphkS62Sh5sjTv6SmyAh5/0n0fDdApsjKi6Pk5BVfOQ+ruPEUXju4YKQYZOrGrUikpotlcYMo1arAFhgwOj67+Tw/tMyaLz+LIx8ui2LyUPtWKJPaYf3mIDrLEa7EjGdTjC5rzXBJg8TWyuBGMcsJZMPWeMp7A+K7JgndbjbQMpXVjxKkqKjwNgrKXoI1kpF4tqiKDwA3yItuJMMzul5Ey/YsmiDOuuIOONL3liEYU0FtuM9kqUalENOqhy7l4hijyqfS2i45GUhr0sYcDzpEv/tBb8JfOQ5ussjTL09hJz2nCGwE9Cd7uALG06apFRabYmDpJ20CHeAODKOGz/PRXEi5YTNqV2M5hOV+FHPe6DzNZHmf4Fz9mxTNfg983ODVYshTH/kTYwYyRP1ac+YPake/jvPfG26ZxyvsrCBK2oyEydQH3JxreSVIfwztyBc1M1xoL4Yiiuh0mVoLc5aovTX/i1PIi5wDSPSXSki50KwBkKcW0FZWNHu25rtOKLlkqD/ikx9cx99ewvisH97WgPdfQMyHZfZpm6OcK1TKIRFHZZagvlNS2uIi7ucAlLavbBM1FlrHDBOGw293mPElp1NK/IWXPoR6D97hCmtZcUSQp83NUVFDCFB0alel8d4uPec1OTqEQ37Jdzp+shVx3EwnR2Xanq5AtIjkZaIJyQuinRbcdJTV5yqyd+K5k3UqkFEUUzlnjKDL6HqA8TeinhF5KIwrwsmThnKtKpOVsf7WrDpU4mpdVgna/pP6sOuHdNdKyJS0L/Ibj6huZYeZdMxXjCaJ+18EomABx8rhrD0fe5zOgpxTRTnwCL6UUJEXvziRVTNRLBTEmjj18X1MZariSfOMieZVF97F2Ql3jzTKVUkwUewSlFCkNzckS5VpU3GdxqpBC8vBbPw3Ayg9eSO3IQVJtimpTU/edQqIAfIM37JqiWN+i2z7SdzOZuOlDIjDNNu3d25m/7izmHnoSwg/cOfE611zoDqlFGUl/c4D+I16MDgXGFumHDqzSrXvz2zR7cEMrj5Ud1I78gBc+d+b7YbPss+xe7/NgT1gYvfFHDB73FMJJj9ZAgpA4ESYFk8ugNAx+AxpLLWrEQ5ddkk40Pac7YV3FnIqcZrhpS8LhjHo2XxOMKGQsiAcsadOHuSkYgTeuKO0GPSkpD1vqKx3mufNkn4H7LEnVOWEdCOpLoLodoj53vJXtgvpKQ+9DguZ8gd+A5jxB1Odhgd3HOFxeV/LSetBZJSc66+eZiiwBlp2WLFrPhbRyyVipXaXmFB2W7FR2f6ZLtihUyq+JK+zJEpuBRZbTgs3jmje4ZGWuSZI7MiGsk41Vzlm6xgvOSeSXPQyyRghWUivFTDRLVK7pIep1+zW5JmXhjyVGCFIpULFl+/NSyr0NJ+kew9gLGsRNHzkaMO8WgYwz2ddQMHJ2u7i/ypUYfWsfUkNzSw9WWuatGiU1ju890QoLNcMwSFxrtyTrRtT2nLpiKp3gVeKOUfmGNFLoIOOVB9BoOiy9FLiT6injxLh8jdffLCCcKPFQ0hBv3YVptDniH1+FWbkK34ucY05cPgHPYtoKUdKQStJ5TuqAoQiJw+rTREEqGbn0Muo/u5nK4lX0H3E8NgwyZtFUaLK7taLMGpRM2z83f9yeMGhl1pE/8bZX1J1DAAXbZK8k5j6rd0/tu/RWujFcYcFEEZP33smSd11M3O+8hNUCEUmSXkNliyvFT0tgyhrbkxWXJAIZyayIxrVs85rQXGwp71BEcyw6cM2UB+6VjKzDNZhYH5L0Opik+ohFaMOeNZL2HEE4IggmNTpUjB/i2sct+MkYu07rxyrnTMvDLhIPxkEkgmjAQRwqhvKwIS0JdCiIA8cbNz4uKZmdA5UV/zic3BaNA3L+eVrN9M2NgxJUBEkXLZG9zqvYa6bjdFtwjaSlayKBsuBbVOgaKwNFCXuQVUbmtL2c7RH4OiuWsfgljQ1xzjH1ilZrxjr98CjxiIDgpz1Obe8Ze2g2QwZ/XCEtOcx7/DlNhLD0BCnVMKaVeHhPGcZawXii0H0JUW/AnuM0fb/yiM+aoDdIKWWa4qmWlJ++nVCllNplhip12tpj24+XFpWuUri/44fHCM/gbyoRTkCQFUC1liWI0FECdezEsaTnJABkho8rz5BmvT6tBaMlnq+JY48gG7iixHP3r7DUVg5w2DffT7NdhmFFuxRCUzG0fJSRto+qJIUmuyyn6EhReiggOaLlxN3CFM/X7PzqddR/djMAK176hwgVuj4tXQnqQlxL5c48bzhR5E07/++17hNRl+O0Vg5qcl5hrVaLzZs3c/jhh//a6x7cjjx32DA1os5vKPnoI/0UqEVkm5jGmdcfvIdw+TLkUA+66pgNTkPcNTjOWR1xr1tVNhXBqCRakGKVRStIew1oSDKBIa/hnGPSA8FuH6+l6XtA0ZonaKyNYdJDGMmkJwgm3E7Wl1lqmwW6JKk84iKduBe2PLef8jD0PmxpzROMHo3TQR/MtLoDR/3TAYRjmniJX8jE5k1zZVsUollWgq66E9EpprKkZbKWb8I5/iySNr7o4oznwlYZjpyX11tXyl3ALhJM4JK5NsjwYc8gPdMlPuUqNQOliVIPbZ12t8nYJ0JYGs2QUpigpEsmRrHnkrh+WhTV5K3VqmGMf06DVuyjpKUaxoz9Xkoc+Qz21ZlTQDiGiVapaBiRaslgXx3dK1EvMFSiAO+5SSZ+DhOtEG2cKuGYAKkM5TBhw+ig0yU/qoGRltB3Dr9xfz9ywnNFWEeNI37WB4mDIiobfVqrLFpTTAmtpRBsA4hbPlJZlNKkqSQsJSSJmlIJam0nudtolkgjh3tY6Zx7eX6DXdsGCPoikqaPCh3n3KTg7fKJ5xiCIEVISbStiu1rM/GDHzJwwlOZ97TnQxh2FBf3isRxtVFFRG5UJn8rxVRCs+jkZEwX3PbbNvskiMi/973v8ad/+qfEccyGDRu4/fbbef/73893v/vdGa1/8Dvy3LrYA/t8tx+bFmPPHHjuxE0csevH32fw3Bdk0aVbSZddUU7aA/VVmjm3KSZX2uxhcVhqeYtHNGSQkSCtaUqbfKI5BtWUGB96NxoeeQrYkmbkaB9/EqIBS3V9QNIDA/caJpe6Tiz9D1jGVzptc+27ASAcdQ9CdbsrY99zhKBng4v4w52uMbPxQJedHrnxobHAI+4FlUEdqu2qKK3sMFaMZ10SU5K1jXOskqKZgJ81iMjbx2X0Q5lmRX5GuNZuuGUcsyWL+JV13+VSIBm1MNfTlmpq02IlNSUvoeQl7GlViibEMuODp5EiEjZrwUbWI9PBBhaKoiCHKZfwPU0lSKi3Q8pB4lq2KcNYvYJShjBIil6bufmeRmdqhqn2iqYQQkCjGbqGDRaq97gMcf2QhGSihl8XGANexh4io49W6+4cjR8X02771OKMN58JhVUeDIgGLHpe7Aa0MCWN3W/oVBV64y5Z6vIB+XlzCVFTzBCMkegMFrEZA8VpwrjqTZ1KxKSHlrYo50/nJwhpSLO+nv6iJumEY8AMnvVsZFjqaLlnz0lxPWUnKV5ISYsMIpNdn0EhTVwwpZ6gwPhgTnbm9pd/+ZfcfPPNhQb7sccey8aNG2e8/sHtyOk447xyuvNF9rmdwQ3SFdUXdMZs/Yc+8yHSyXGqx6xzpc+hQSiDER5SS6pbXFgRjmVKcNrtVNznWrRZz0Eq6TyLDh3DJZhwnOw9h0v8SYhLmuiQNu2mhyintGSIqRiiHYrGUkPv/7hEpdRQ2+Ii69IINJZYSrsFcY+gZ6tGlyR7jrKUd7iOQZMrBDJLROowE8UqZ02R2y4S18o587TSYZcU2iK2Q0GTbYEOXZWoNbaYOueVndazBVbaSS64z611kJH1rdP88HWmMeMYElKZKXCKlLYongGHb8epw3uTVDkWhnGQS29/0y2jpeuoYwVWCyr/3cPEMxqOdy4sxkh6K22sdeXyJT9xMrGeplaKiTL6otP9tpSChDjx0FAwZSpBTGRcH8127GPv7cGvQ5Dpw8R9WSGVbwhXTBJtqaEa0kkWuGJLwrFOZevgTQEQoH2KPETe4cifFOh5uF6c2k1jdPZXCIsKO8VFeZs5T2mMkbTaPulICX9uu+gxasFRGdsK6oq4bCgPttxg15vp/qTStXBTFhk4HfdyxQ02E9f/ip6jj0f11pziY9Zpis54VzxKeUAl8oh77+e1y6HnfWH3IRn8lsw+SZKdnufR19f3v1//MdyXx9zy0vq8iGRKmX0eGext012zLqefww0A9YfuAyVZ8nd/4dqnVRNMqpA7QpQRNBdpeh5UGB/2rJGoNs5xa8dCGVtjkKnDbLydgYMxUqchXt4paM03rgP8mIeMfZJeA1GA7k0ZuN0n6geZOmikNGqJ+pwuOdY5Xj2Y4m/0sQLGVjs1qnBYokOIBgTBHiiNWQbuabDtjBpLr5qktahMUlM05wkXsWf0Q8/5w6LHp4qFk3W1XaX+sShoha61l3NgOrSYkikEt4QRRf7C5syIsnbwSea08+jPCx0rxfOcE8r59t1a3mPNcgGxaNm5yJ4yaCsL5+57DlOPE0Xz9yYJs56VOcTSiAI35bei6GCvrUBbp8WSpIrQTwn8NGOaODaMsYJa2TFOACb3VKjeE9BYqfEn1RQhMuNB70CT8Z091JZP4ilNKwrgV7WiVR17JY8BJo6L6L09LFgxMoXSQyHRIVkxlK+LWYKUtigoksphZMYI2tp3pB8tKS9oFJIFJu4SaAuN065RTqlReQYx7uRpqaWoqsPL8x6l1roHLbl7F+GSJR2BNNlhp3QTA2wGrQibHUfXs1owlcgcfC5T/ARG4/DkgFaOOuoovva1r6G15oEHHuATn/gET3nKU2a8/kGdBSiiZ/bCu/PvuqGW/W6k6/+uG9JEETuu+haD57+EUPUikmxaqgwmtOiywZ9QeJGDLpIalEZdj02ROsaHjAWyLfCaDh/2mu7GDcbcj3p1iS65SDXp164ic1EDGWpa81x0V9opaCx0UXfSZ4nmWFQE8VyNN+zRHnQVnEmP+22/7pyyiqD2iCHqEwwfU6N3s0HXfFRkKe9KkAmolquy9JoU1ZrgBqHuMCoYd1rrXiujHwqwgYvK85Z05HCKcNCM8Z1ztyWTdbC34BlU6KJxz3f0wnIpoVKOXcVlkBBmVZCB0ngZRh0lHlHsFY0WpHD88Sj1UMLQvrvflcFn9E5jZFGKD1AKHdVPCktvOaJSil11ZCYJ24p82m3fOf1MmTLOVAVz7Lsd+2gjiFNF9Z7AQSkbVUFBTCsd5zw5UaZ/wUQxEA311glO2LMPhCCMy6+oBLwdIZMnOAaMSN222qviojgIQaHsaIyrRyiHsYsojaNeGi1p76rgBbqQH9CpdJG2oZj1WOWSy2nkuUTpghY2NASVJGsd53D+IEgxRqI8TbR9O+GyZQ4C6oqoi+Kx/LiyVyF9kS/XfUvJHMLLlhed9X77ll3jGbyeSPvnf/5n1q9fTxiGXHDBBfT19fGxj31sxusf/BE5HSfeHZHvbYWj72KydA8E+TI5rJJOjiMMlI87HNOymN4UX1rStnL3XlZ2Hvd0imfacyjalRkhkKl1GazEOXMdOqepS5D0ZlCDsHiLW+hUUqu2GR+tAgKv7qCTcFTgTUIaQt/9jh43utai6pLKdkd/LG2xtPsFuuIiOa8FPVtTqg+Moo6cQ9QnqS+SyCSgOU9S2anp25gyscwj7nORVWnYDQZ5xJ8nroyCaNDpknuNfDrsTqYuWbds5hgQLoFZnMfs+IRwvHCAIEgJa1lHeE8XmifGOvaApwy+cnzxXBkw54HnDY1zrRJtpeNlHzGeOTS3HaVcRWfRak1LAl+jtWSyHaKkcVWXGTfbGInv66xkXtJIwkIvPt9nkw8SWk7hS+dYsEwgWhpT6W/REyY02wFhkOJL51RTLZ26oQahKDrGC+tmJj2bYXSuYvLoBNqS8nZF6eGA6NA20VgJ2ZKwyLFq8gEi1SqjHkpq1Yixjf0IC8n2CnJem7jhCoN0y3NU2bzxQx6QtDxMoEkbPiKSxJOdCkEpbVFElcQBqlJhz09+yLxFC1BhZa8HMftrOn/FXgFUNydh7+Kzbmf/2zbLwQ+taK0599xzufbaa/nbv/3b/9U2DuqIvOAhd0EswFRQjqkOvjuRuQ+mnkMrFmyqsZ6gtM3DH5fQVqSxcm2tBFQ3iSLZKJNM06Ri0VVDWnNlbSLrk5j0G3TohK6QkPRrdM0lQdUcN98Ow4R27CP9TAtaQu+DzqHr0FEHW/Mg7hHooQTdYyiPWJIeKO0xRHNdIi3qd854conH6IlDDB+l0IGLpncfK0lDGDvEOcg053/3uPWSKtQ22067NeOSuqrtBi3ju/fCgkhc5K7argmFasiiZB8jnBPPrhGWonFxmiriRFEpxfSW2yRakRiJtgIvoxcqYTC4qse4S4uk27nm3xvrkn7dOHGScbBz5UGAOHHwi6fcgJJHt+AcfdT0SWPPbcN3OiY6cSXyuaJiOUzwb6sS93ZBCaKjCIlyy6ZaUg5dO7fEOLXDwNekJ9SLiljXaEMUTA4HBQqC3gjRk9BaldBeHaF8TXmwRbC44ZK2UMwSUi2Z3NhHu+1K/fOmHCJz2jaVNEYqDuowouijmisk9s3vVMBSymR9PXfO0lgVFbRekFI5cw3Ne+7GJE7Ubcpsd39+sItuKHT2N3/cckeebcexnR4lEnu8zJLBbQd+PVGmlKJSqTA+Pv6/3sZBHZF320xK8KfVdbBTv8s/qz98L6Vj12ACiOe6qjdvSwmRQjyoSXqhvAsaiy3WB9UUWUdxKLRJMloiFkzJYHxLu5Q9aLhlrRHEEyG64lTmhAARC6IBJ3YVDxjKOyWt+S4pGfVDsDVARrDzNM3ArxSjhymU64Hg9MQlRAKaC13EXl/qtMbDUZAGvAmoL/SIBzJaYgjtISjthvKIJu71HF+85gYj43cUEL2mK/9XmfJd7th1r86cv4OR8v8FgHLa4VIZyqWYkp9S8hNCldIkcJKploJdYq1AYtFWFph2nnAECgGsvD2atZKoHdCaDKn0tqdc/7yBR14AY62YUl6QpIo0yjFkCo2WXCMFoJQV77TaHsoDu6wFvyoX945MwVs3TtIIKIdxMXMoZ3TDduqhsy72RT/ZrlmklTC53DqNk1ihAl0kiT3PFDTIOPIJS7ET2tpYJQmcY7c7yrRtuYATRZbAU2XXiNoaCaFxvTuzQQ/tJA7CMHGzqz0BBAYVaLRwM48kVS43EHs0b3yIcPlyZCkgbUyiRyYoL1wy5ZmbkpfqDpTs1M+mwC2KKdH5E2EzZa08kXF7qVTi6KOP5uyzz6ZarRaff+ITn5jR+ge3I+92vtnovw9Ovh/rjuC7I/ScX52YBrKvQrwkQu0O8FbWaYsylTlN5KYedAkmVjknhs40TowkHtCollMgNOVO5YMJbTH1FNph5ya0mKaHSCWi6qr4dKpcYUyGRZcfkfRuNNQXSdIqRb/NxT9ts/30EmNHGJeoMgKqKSQSU5KUdjmKY89Gh9/rwFHg4l43gwhHs0YSvRT87tZ86H9IUN1p0KFElzqqhUmf6zBjMl1w62ddg7pnQdo1Mej+3PV3dNoyuXV3LU+0mqKjAlMfrDwRpaQlShWVIMEXeQcgv4AWlNepBPWU682ZpKqQfAVIE1WIamFFkdATymJSicDBHDpxiWPP15TDJGvFJlF31ojXNgnvrBRFLVY5SKXqp/h9Dr4JVAJSFr+d4/dS2IKnb4so3F1nU3IwnJBOntfoDvZdrWQDQjOgvdEVKwiVF2Xl928GmwBmaYug5Jpo5BWwzYkSlHRWPOU03YNsduKpNvVHStiehDBMiQUkbUfbTFJFOUwIj1hF89Zfse2T/0xp2Qomb76JvlOeyrxzXrqPlr+0+z57+/TV7cbQs5zKE+EpLZ177ED2RDry5z//+Tz/+c//X69/cDvybvs1pj4FO26vSKEbMw8H5jG+6Q5oeASrJt3UvSmRQ44/XtoN7SFBUrP4dUF7roMg8C2ikZWlt2QRqWjlRg5hnSPMe3JiBQSGdLgENY30NaonITICf4+iNAytOZJgkkI4S2rY/tSSi5KrGtlQiLkRNouGtbQ0F4KMBZPLBb0boDnfQSdeHYI6xDXHHwfXjT7pM5iSYcvzYO7NispOC0JktMW8kMedHJE1KfZaztG35ltEJLGew9JFmtENs+Qn0iI9B1lUgoSyH9NOfVqxj0EQZ2yQ3LHYzPkYKwi91Mm+GicalffHjBKPkpcSZ0wTT+nMYUqEFRlF0Q0e+SCRKwnqtofM1QVF3qTCfSeVcd2DTD6AdLbTHjJ40haaMfnTEW4JqC2NiFOPRMpiILLWDUo5Xt9aPwABHUcmOglS28XkSfPyfGWK/WrHPmJ3OKWPat65qTtJHy+JqVTiQkcl1dJxxrNtB9nML88fxIlyTn5ODLrDVpGe45Fr7WQE5r3yBHjlcTz8x/+KbjhIZvym/2Ho+S9GdCGw3bPevR3fPh23snvDerajs/Nbt5mrHz6ROPOFF174G63/pHDkezNW8s9mZN1OveuBSLY9gt83BGWNuauX9sIUNRQ5PFa4Bg9WQM8mweRKi5WWyg6Ba37pkppJj4s0hBGolkuS+ROCaNCgqwbZF2NHQmQk8FqCqGwy/WgX1qRVw/gay+DtivpSl8RMay6yNgHE/Zaee31aJzjuoCvndnodeBYD+HVBY7GbMfh158zHVzs+usD9VNxvM6qh6x/aGoJ5v0xozQ3QfbjoOyvJt8qCZ5FRJlcak2GzLhIXma6Gajl6ow0MUlm8wOlxT7ZDmlnvSQeN2AIXh05ZvouYXSu0Tpc1m3HFFYHnkpMOd5eZtGvOP3dONG9q7JQSsy5M4CLghg+BwRqJlanja+cFNql0GDpkvHL3vrSk7vD3LngA4SJyoMDfAZqxj/Bs4cQbzdDBTxJkb4xue1Q2+C7xad15Em7sdIlGPyVqB/iBq1CNt1XduUwFclET33eJSJlxxPOosupprIVW23Ud0pGHV0oy7rkmagQIaYmbAfThOPSRj54IkLWENOPWp5HCyzj4yViD4W/9kNLJJxDMr9G43elf951xFtYTGUWxMyhBFx7eBTUWFZxdHrE4j+rXeWgfW8sT2b+ptdttnv70pxNFEWma8rKXvYwPfOADjI6O8opXvIKNGzeyYsUKvvWtbzEwMADA3/3d3/G5z30OpRSf+MQnePaznz3ttleuXInYO4MMPPzwwzPat4PfkYuuYDxPrux9P9jOd/v8Za+/2fp+uYdYjlN5MKB9ZAtR9zF7AloigCGNN6ZcYrOXrPpR0FxoCSYE7SFDONyJUI1vkQhKuwTNpZpgWBEtTBy/N3SJ0GDcg0ji12JXKRhqaEtUQzK6zoCyJKkg3C1pLTYEeyRpf0p9yDqN7NQVcljtIlbZltng4uCUaMBpkJf2wOKfJKQVxcRSmUWFrmLTVehZ4n7L2KEBwkJazfEg95KZDosJbVYNKqhskVkilAID1WXrutKEWUf2DOOW0j3tueP1MslWbSWKTBsli4JzhobrrmPxpHZl+sJQjwIGyi3a1i8YFqnu0A6tFcSJu32FcE0XsBBsCYkWuHp4Jxjlou80Uu5c+BprJKl2xThJqorkqRCQtvd9JPyqO4ZWNrPoxvRziEdPBOBbvD6X3Da+6/5UBBCxhJLGGpBBNgBpQRgkTD7c75LqqSBcWi8gqBySys+XFBZPaaLY79AIs+PxSylRw9EmrRbQVJSGkk7Xoh4nBtNTaeNLp2tusllQvGOUPVf9Eq76pTufnsfc17ya3V/4IuXFy+g54hg3CBmmcMuLx6+r6tN6UwdByIIwafcJxn4bludgHgsLw5Af/vCH1Go1kiTh9NNP57nPfS7f+c53eOYzn8m73/1uPvShD/GhD32Iv//7v+fuu+/mG9/4BuvXr2f79u0861nP4v7770cptc+2f/GLjvZ7u93m29/+NqOjozPet4OetVL87XLMU9gr3U56OudN5333zdjcugF/3lxa8w0mVai6wmtIRG+CP6rQFeMaAUvn1FTLzSWTKlS3uL6Z/rgs2r3lut1UNPHiBBE45wwgW4poriUYdYk35WeaI/PapIMp+K5q1FY17UUa05fSXujm92o4e2izEc1qCZFy2ikWejcmtOdawlEIJ5xTH17nIxOD7BIyQlhs1sxYL4poDzr2iw2z48wVCn1bFHzknxU9P/c4/L2Dh7omvabtEbd8dKKy0nZLGKS0Nzm8N9WygFVybjdkeHfGPMmjbT97XwsdPBN4TrQqd+Z50OKi6KyqM9umkJZ4UYLwLaqcIj03yNhUFs7XZjCK57uoNE1lBzcHiLoesgw28zxHl8wHDsekcbOEdtZb0+uLCOe0nIyAZ1C+6WjOeOCPqazlHFnS22HZUexTXTFB77JxelaNFRx4awVpqlxjEq1c0jz2SFJFKUwcDi6gVI4JQgenSGVAS7xSCpWUkU0DWCuoViKU57oPqQzW8oOUJPJIIw8bOFqO6u2l9tRTsWmKbbuSfb/SVzTSluk07BQ6kfjePPruIqEn0kxW9HWg14FMCEGtVgMgSRKSJEEIwZVXXllAIxdeeCFXXHEF4JpGvPKVryQMQ1auXMkhhxzCzTffPO2258yZU7wWL17M29/+dn74wx/O+BgP+oi8mz9+QD75dJ93RfC5GH5713aau7ew6KRXUVs+QeuefkzZoAc0pXKCTUvuBtRuSuyPepjQ4jVcFWZSg2ROSrDLw2tI0qpBRYLmEZFLSioDDVdNJ1IHVwR7XEWmHQ8goyQKYQn7IkzGPDCpwKrM+5Y0wgr03MRRFo2jnPnbA9etPIbyLsmmF1j67hP4dUtrrmvY3FpoaA57Tkwrhngwq8ws6eJ3ZQLNxanbR1+7RhmFwLT7Y8oG25PCrgB/0sE9ecUeAkRbuUgrgw1yiMTxnzW9h+whUJresF1cjomohLGCVuK7wiAvl6F1hRu+0lMKNHKc3Vq33TzC9JRxZfR5lSlun/A6lEQnRewiVBVmx76lhF3axhiBX0pdlFtyBUVx5BeJ4W4OdI43B1mDZSksKIOCgvOd65v4WVPlVFjaK2KCLYFTrVyQIIUbQMIgpdkM8QKX5IwSzyUfd7qkhh6Ki16d0rN4KsXiWCipdo2ZfV8jpCFJPIfVZzM2VUlcPgaoLq4X8JSUmVRwxhrSGsy2jez5z5tp/PJ++p/5LAaf91xsqpn7opcgUQysPRkZd2Rqc8pq/lwWeitqmr9T6IcuWS/2++A+vvZYUgu11pxwwgk8+OCDvOUtb+GUU05h586dLFy4EICFCxeya9cuALZt28app55arLtkyRK2bds27XZvvfXW4n9jDL/4xS+YnJycdtnp7KB25HsPkkU1mehEhTPbUIetYq1l1y+uo2fdsSgZoG8K8Txo18AaiCOPIHUYcHWrZOzolKTHlacnPa5sPfWg+qBHc4njistYkPZkOxRL1LhyLAUtsGWNnPCI5mhkJPEnJakJMVWNEa4Bhedr0gJ/FB3Ffi0QQcf5ij0hac24bZSdRK5qSRoLwWsLVBv6H0ppz/XYc7QbEIxnCcYlYsIj7s+glrYg7qfDhmkr8A02FR1BLM8iSyl+OSXd4yOy7JYuuYIhkQoqI4JojiX1s76dvsFoiR8m9JZcIZAvNYlRlL0ETxraqRPJUl2c8lQoxyeXBpvRCXUW1uU8cueIdBHNiwxmSG0GmeTKhoF20AKQFythM961EejB1OHQnkQKXdAG48hHSIMa9zqNMbJZXhR7tEOfkpd2wSvZJTKCUpCiM456PmMolRJamaBYNC9xLBRp8X3tJGhxM5L29qobQG2mdRMLgnLi9ku5yDlq+fhhWjjsMEyy9nEO8mk2w4LNE0+GUNGu+1IXzz6HpHQr5pHv3srIDQ8SbR2mcuTRzHn+ufSceJK7H6TKagU6t+MUk0yVts2i8aIRyRRHbt2s1AowdpqN/XZsptDK7t27OfHEE4v3b3jDG3jDG94wZRmlFLfffjtjY2O8+MUv5q677nqU3913BJkOBwd45zvfWfzveR4rV67kW9/61oz2Gw5yRz4lyblX0vKAZvf6P4vMd954NeP33cbqd/81acnQPipGbim7opgJn2SRpb3I4dwThzrIQ2qKYobSsCQasERzsk0r0L0pqqFgwicYy8ryPYtsSQwK3eumwca6xhMix0wBbT1M20OGaTHtL6YdysnAmkSClpSHBUmPKBKsyZyUcKdXlN97DZCRYeBey/CxAl11U5B4ocarxsgs6q/+ssTEoa6jkbBAmlEQFA5+MQLZ68rHpXCc8rjXReK6YjI2jiUWWX6gJbGRhFBTKUf0l1qU/YTUSB7cOo+huZPEmYZ42Y+Lik4lTKE66N67cxylqmBlAAWzRWSqhHlfzPwB9cMUnUoHQWXVm8o3VMoxUhoankt6pg2FSKSjTGJJEoWUliTxUJ5Gp4rSiOi0pcsYGHpbleSwNl4mLdCM/SK6DHxdcNnDIC1mDlJYwnJCfJhFRB4iU21U0tCYLLuZRAXEnAg7GmaiWgI7L0u4G4FJJO04BOEKePxS6uiOiUe1EtFohkUiT3qGpO3h1+JifdcIWlDfMIqYN4+aGWX9By7HWIk/sBhz31bqt9xCe+MGaqec5J61nDVTPIRM4Y9bkeHg3dzwbqYKXU48G0SFcQ/yE4KRI2bsyIeGhqZg1Y9m/f39nHnmmVx11VXMnz+fHTt2sHDhQnbs2MG8efMAF4Fv2bKlWGfr1q0sWrRo2u197nOfY9WqVVM+27Bhw4z2BQ52jHy6xOZe3+/zyj/vBGXFX5ukDN/+E1a87k+oNquopkQ3PdI+jV3UJpmbonb7oMEEFtuXFEka6znnHPVbxxnH0foQoCoppUekE5WS2bqBcWfXs8iGQk467rLOmhyI1FXiiZaCSDqWRUthE+EYJtrNXW2isKmk8oBPe74hmZO4bUgXFSMyqVoPWvMsI0cFVHYm9DwsINR4/RGlvjblUkJYcs554tgYqhoRSWRLImPpkpzgCksCk1VqWqKWT7IoJp5jiIa0a0ptO5GX0CKTM3CVl0paDIJGEhBpj4HBBko6catGFFCPQuLUc/01ZUc8qzt6VEXyVBQslbyQKC/GiWKvGAB0Kh07xbgmxaVqTKUSEfiu7L9WjahUIrxqivUNXug6FEnllBhtfr8IOzVRZzuBw8hwTwb5iKwiMsOuLQXUkyfWPKWphjHNEVfqHlRiwnJCEKRMbO5D1D1kQ2F2h9jhsMjbmP6k0Gv3Ao1fTjt5ISMc/CKdFkuzHWTVrRblaye61SWTIKTjiNdbIQ/9v0+z+W0fZ/1bv4RNA5Kde6j//CYAek5/KksuuTiTk+h67kwHWsqlaI3nist0OVParNripUvuuTBBh2rozqMtclOyi/XyWzP72GHku3fvZmxsDHBNIK699lrWrFnDueeey5e+9CUAvvSlL/HCF74QgHPPPZdvfOMbRFHEhg0beOCBBzj55JOn3fbLXvayGX22PzuoI3JgSmQ9o2h872Rn18OYtCcRQmKPns+EMviLmnjra6SHN0nrPnOXjDES9OKVE8yAJAxTIh1iSwY56qNrGqEF4bAgmuMcj6loaPg0l2r8uW2SPSH+QIS6q0paBZM1Sba+hVgSjoqigbHxLcGE60LkjyiCcagfYum9y2PiuBi5x3eqgsLh3kUJthH4dSehK2OHXeuyg38aiy2lEZ+BB2L2HCfwPEMpTGhHPnHkoZuOSiES6eh5bZfZtCXnwKWvwQeTJf9M20EXpkdDnC+bReEZpcxVh2bFLsIw1iwDLiHZbgZIz+D7mr5Ku+gwr6Qh0p3kYd5QIneMNsN2c155rg8OjhETx1kjhew6O6lcF7XbbJm8PZqfeZCenhatwC/YILnl5fzKM8T9Fq/eHV5mr4ZHIwoo+SmhnzoBr2wGlUfnNpslODEu12EqlT7hYBMlLY2NveB1OjW5aDVzmL1JMfvSkUfR4zKbmdjUsZTaky5C1xEIZVC+xiSKsBSD5wY1rSVBkBK1fQb6G4SHryS6z0V3tcMXonrm037YMufFL6Jy/DFFRD0laMoT0tlkraAXZkqZ1u/ihucz3mxQLwIpYTvbfSLC8dweI4x8x44dXHjhhWitMcZw3nnncc4553Daaadx3nnn8bnPfY5ly5bx7W9/G4C1a9dy3nnnceSRR+J5Hp/61Kf2Yazce++9rF+/nvHxcb7zne8Un09MTNBut5mpHfyOfC9oxZW2dX2dwy973yd7XzwLXq0ff/FC6r+4ldpTTySeDJCHtrCpRJVTTpq3mXRIcc0dR+KP+ERV4/DGEQ8TWMJdHmnF0u51VZC2lqLGfMLlk1mJtUcw2CZu+iSrY8SEB75xouDZgBLNNYS7JdUdltYcV81phaPzNStQ3eAxcbjGptkTEBrn0Csaf04b2/YwsSTpkSBdkVJroXWJSSWQqWD0KEFzXkB5M9iBNq3IJ5oIQYI3oZxyYdZg2pYNIov+rIW05RcJW6MlwrfQVG6GkDkhEUmnAFkxiERgygZ/bptSkNCMA+bUGhgr2NOoUK46Bb9y6LjOux+Yy/Ijdky5vgW3HKbozucl/UDR7CFOPJLYQyeZtrbvys6F6EAsQFH2LoWlnTgoJJexBccfd4JaomCSWCvQcxK8RtCRTe66/5ycrs32y+HOpmswySPkQGlasU//ijGMcTTJ9uZq0YzDRbzZhgdi56/9rJmElghlsMjinDu9caetIjN1ybAaY7QkngioDLZoNUKHwYeu8XMrCtw+SkP04EZ3TnorjN+xhXDZMha+6x14vb1FMjJ3wCKD22ymt2JVZ2prfIq+q9bvFDNh3UyILuGu/HPIntcnKNEJM8fID2Tr1q3jtttu2+fzOXPmcN111027ziWXXMIll1yy323ed999fP/732dsbIzvfe97xec9PT38+7//+4z37eB35LAv3p0lO23nHjuwvooAgWD+mjPY+csfUnvm8e5GHQk57OgtrO4ZZjIpsaXeX/SvtFJA28P6Fn9SEg+lyKaCqkbu8kkrgnC5yyynqYsYk7bnSsJbCjEQQ8OdYtlUyCh/SCDqE7SHbKdLu++csg6gtEOR9EpY0qK3EtEsB5RDx7CI6wFI0HMSaKts+mtd5FY1aO20qBtDFpoejJSdY04F9KToHu2cQyyhrFG7PJCKJPRdM2nfOGw+K55xO+xgpLTfaY6rtkD3aCrzGvieJvQ0480SlSAh1S4CbiZBEbkOVpqFYFbtqK0EUtNMM1GSjCeN6WDleZLUkGuyuOrJJHXFPyaDnoTAFTFpV+gkICt/dzCLUoZW5GcccVG0dfM9TZA5dCXBJHkk7e4d41GUxxtFlrBzgmDlMCFQmtF6hVImyxtnWudeJuqVGkk1jJ0srlW0d1eg1AUya3fN1KArNLImK2ayuM4TvnbOL8uR5Nop5f42SewhfE0aewhpCHpjN2Api04kQdX1OdWJolKJSBtt0O5BENJn3h+/nmDhguwxmca5CutYSSbXrMlhEtvpHpU58fyFzQZCI9y9ls+stHs/pdvQE2BPpCDWgeyFL3whL3zhC7nxxhs57bTT/tfbeXI48ty6Lsi+U0H2nxTvWq6y6hCiay6Ftosqa5skmxcPsKA8SahSl4jLHrraZuFK4ZuCaJ4G36CrIMc9zMKIajVysEczcAnLUkqp6h7OZttxfyubPRorUsIRQWuBq9xLq5ZoLlS2S5qLDPiG0haPaNASjsPYuoSgJ6YUJkyMVSjXoqKjTW19QP2IxEXJIpvy9rnKRWvAq7oGBdpIqCbE9QA17KPLhmBLQLwkdo4vMMgR37FrLATjkniOBSNRvQk6VuhIQezOk/Utou0YDbpkGVq6p6iwjDO5VSUNFT8m0q7bTy2MUMIUWHiSKR160jjqodQMt5xAUMlLaMROZjXfZug5CCZnihjryttt5qhzeMIIBYHrb2myPpvWCJLMwQhlC6qh63KvC652Lm2bFwQJz3SaKxiXGzEKKLv2cCprs9ZTcdPeXODL7bcbKNqxz3jsoduZWJffYbOQgDc3QicKId2gY1LpHGB+u2o308hpk7rpI0sp7XqA9A3pZEDQGzu2TcsnsQIVplR72w7ySRW1WgtjJG3KeAuHSHfsZuiPf59g6Xz26fyTOWpsR3Asr4Eg476jnCMXnpPIlcq10MuLwfLjN9msYopzz6QBnghHbnnsIvLH04477jg+9alPsX79+imQyuc///kZrX9wJzt/3fPfdbMUTn6vmyedmECWy8i+mL5VYzQWW5p7yjRTl5wreYmL7lJoLgRdNcT9Bm+gDcpSGmzRt2qMSi2iubtKY7SCiRVBT4SJXQFH8kAvXjVFBZrW/CzKzfbJlDWmorE1TWtBB2tszzfIxU0mV1gG5k+Sxor6ZMlpZ2QcayEsjaUG0VDIgRgqmtbSFOlr/CClVIldY2NAJw5GkIFGD8XQkxItSJzWS93xv72mQAxG+IuaRPNSghGFVZa07ruBbsJDNpWLrPL+nYMRfcvHSIwiSlXBQMnVDQF86aJyJQyx9oi0Rzv1Sa0ktZLJ2PGldzdraCOJtWKsXSbWCm0lYRblW+uqKXN4Io09h93rLFGcSsdCSQTReEjaCNw1aHpTpvc2VsQNv0OFzvTDlXADSilMHGSiDDIvjFIucWcCC54l6IlQytCMA8YaZVqRTyvyabaDgkmTZsU7RkuENIVkbNHwQQtUb4LNenDmDo8MNhFep4hMCIsKTOHErRFUetsIAbW5TcfgyfIYQTXG9/UURo+nDOUgQQWKI//tjZTWrUGPjXdwbcHUZg9ZYp7ATHk5GCV34qZw4srTWXLbFPK7eZ7BD1P8knt5pRRVTt26/q/DGX6MrGtAOdDribTXvOY1PPLII1x99dWcccYZbN26lZ6enhmv/6SJyPcHse0Nr+wTpXdvAxi/+5dUjzsWgLGRKtVdgnR5m9goUusKUawWroN92cJQhNhVIh0pEcxrIYVlzyM9DpvtSWBbCT3komdjXONg3ashVgSVmLSq8csJzeXSqQYmEoHJontd4LDe/Ba+n1I9fNhVB/qatO3RV2kVD+dEVML2JQ4bTtxUXPUmxUPlKcdHtxb8IHUPmmfo6Wk5znLkg4DKaofdhvPGGW+UKYcx/pCmkdRQFec0bMNzDRUiCmqcWNRyglPWzZNzOKEd+Qz2OD2YvLtPajoVnCYbiFzlpi7gCNeT0qKzQh9JR488V1B0rdwyJ5zhsMQS0g6WK1LlnJC04IEqO1liIUBrEL52rc9iD5XRBaV00IzTEk+zKlGIpSFZaTBbK0UUaj3jqjtFx0nmpf3WCEplV42Zc7UrQUwzDvAqEeMjNbBQ7nc6xPmAnCYKgXCQirSI0JXaC+kkgcmiW68aI4RjosSxR1iKaTUCaj1trJ/SqIeO9ZPj/ThtkTiWWWMNx/Jp33kvJAnl49a681Q8ONnDIbP+rZKOtkqelAUHoWTsofwhywfF4vnKHHrxPtc1l262+ITZQQyt5Pbggw/y7W9/u6gSveCCC/aryzKdHdQReTEjepTBsuu+2teJ267vs+/iIEH29WDqLqnXmm9ZM28XJeWcS1/Ypm+wQWuBcZWcLQ/VEgQjinRrldZEicpgC7+cUirH2EVOH3tyvExvre2mvSMuajRGoOqKNPIQoUb2x9CbYD1Lz52Be6AC50CMlsztaRTKeoO9TcJazPBIT1G+Hrc91O7A0f187VQHs47wUrgkWxx7VMO4aLoQBFmloZaUS7HrWamc3Olkq0S5FLvOO0bgz3URn1TWNY5QOaUMzMpmxtN2Sb8kVcVMwbVy04UwlrGi+I2Sl+BLTdmPC4phlHa1WTOy0/oto/CV/ASZXbBW5DtVRJPDFzhpV+MGFxnLTE7AIMopXtV1phfSYtJOIwUsGC2Id5Zd2XuqXHu5xL1UlqQssHKR4ePVlPJAu+C1J1kDC5WddycW5r7zpIOREtNJqlb7W8yZP0E5TBzcZZ3cLla4AbiUOohCWKTXoRDKjJGi446Wu++npKkiLCdUQzd49Pa1CANXQJQPnCXV5K4X/Q2bPnxFca0A9GTdsXqkLTo+YXEDVubEyWR/hcwGzvzZ6YKPsC5gSWMPnSjH4c8KrvJHcO8qTiEd1/23bx0m0YFeT6T5voMP+/v7ueuuuxgfH2fjxo0zXv+gjsi774WcBjWFvTJdFJ4vM90obMHsGCY4dBGVeQ0A2nt8djVrDJaaGAT1JGB8tIYtGxKg9oBPa55FD6VuiixcVBVPBviDjq87Z+4ke8aqNNsB1bkNolrgqv3u78EM5DqmApMobCLpv8tjfI2LEsmSRQjrOslnEe3weJVaNSKadGqCYYbp2gURtu30TciisG4OrO+n7N7dR1iLaEXSnSab6X1nhSzaCtqxTzQZEgceQZhFpNJiE6j1tJE9lrHNfQVLYbCnlTUsdmO/7zn4JI+g84ehe1/yBGfO09UWIp3pYGd4uZKGUKWoDEePhUeceoR+Wjj7KBZo3VXB6VmXvLV0tNN9i1cIeLnzIqTtDADZX9GbdAkpOefX3Yy5r9KmEQWkyyczbRfHEfeloZ16lEtxlyZ6h/MeKF0ce35eVDYriBMvm71o0oz5Ym3WYEM6zDmHSVzjZZEJgXkgoFxKXGFTvUxYdtWcvtKux6lwgYCXJXa1Eax/+T8C0PPs09BG0Ny4G4DSusMLWMXm0TVZQ+3MiU9JSu7t2zJHbaCghroIXbguSPlzl9FH82dOZ1BTDvv91u1JEJG/4Q1vYM+ePfx/7t47TrKrvPP+3nNurNS5JyeNRtJIKKARSsgkAQaTbDDBsLsYjDFOsIvTru3dNZjXrAFjYxvbsO8L68wuBtsEE0wwYJBEUo6j0eTQuXLdeM77x7n3dnVPt9TC2DPa5/OpT3dX1b1VXXXvc577e37P7/eOd7yDF7/4xXS7XX7zN39zw9uf14l8mYP6GI+Xd6z8WW479Bx3zy76992HfvFFhCdqjFy0hCdTeonLrvoS7cRn384znGyO0D9ZJ6mZ/fgnHaIdCZbIyBIjsuVMG2f4uhsxCBx681W27Fjk9EIFIRXpjtAkyXtqhHtidCKwm5LmFQlWJHBPuCS7QnTfZsv2BaPjgUlulSAmjBy8ekQYO9R9o0debYR0B1VIQLRdMluT1VJ0NabmR0SRg/SM6YBSlnGIwUxHRrFN3PNIEonjZIimg91xyS42i1oS2riB4Zw7TsbmCxZoD7wS2nHsjKqMiTOJwAz+OHnzr6i2E2UeK5I4QD9xjakyy36UBbWwGBYq7i/2U6giFuP5QmiSHIbIc7AZukotCFKEXWiwZChLICRkVj49m0MgRWIvBLIywA0MLTLNZMmyqfmRef0cv5eWJlkNIViUPqHDUUBC/YFrdMItw+ww0rlWybUvt8sTp53vK8ubnwa3NQkwSSUVP2N0tE+rExjv14FhCQElLTPrhaStPjpVjD//auqXbSPNJO1bDmJPTzD+yh/KIZN8gSuoh0VBURQVq6rTkr00dJ4VIIrWFlZeUal8Bq5cLJRVygo4Xso5iXLRPn9DKUWj0WBsbIynPe1pG5auHY7zOpEPhzVcJZQrP2cl7xXToMOwS37X9MVP5YE//U2s5jx61KPqxox4ITUnohkH+DLFznWuLWUEgzZ9TXHymRZIhU4kioyRvU2D91YywtRh22iLThAZ899KatgIkSTRwL4QMe+hHIXbtkhHLQgykt0Jum9DsCxTSp7gWnM1GpOGj907Uac6sQg9m6RimCP+aZvKGUgqFuGkS+o7LO0yjUorFbjTvVJvumgcpnkizGYDmB6ggox4VOFaueZ1LMkKP8tMEKZ2OUlpWRadThWtYWy0R82LckMIkWPdJgFLjI+lB6UfZyFdq7SFbycGZ17V+LJzjNwWijgzsE2Ys2HSzEA/0lFoVTDcjNkFtkY4Ci/X5AbwXNMg9oIUhcUgciis1HSerFRq4K8osxB1U3VbliZKbRJlFhzPLkyhc0goscvmbhEFX32Q2KXCY29gFkuVLBtfCKlMJSswmi62IksF0lZl0iumTKWTlYuNiiVWNTbmzkC1EhEnNoGX0I/N/+XZKa4ecM+/e3f5vhY/812c8TreJbvpfPnbjL3mRVgiN9TQllkQc0ZPYfljBrGKBSaHWsqTR5dXRAV/fPlqzNwsrFxfxCox8TSycfy0/BzOSZznFbkQgj/8wz/kFa94xfe+j+/j+/nXiVXwynqPnfX3Ol+e7fg0nvF0jv3RP3LxzjNkStBNXPqpSzv2WIwCBJpaEKE9ZYyX26lpVAJuI6Ix2se305J+t/DdaU61RjjzyAS9mSp63oOTvnGWX3Jh0YWp0LBMLohzc9y8QpQabEWr7+PKFN9OmPD77No1R6cZmCRSTbEtRXBKErc90OB0IGpAZU7jNsFbsghPV7EcxZ59p03VXWp35zS5PBlamYU+XsGqptAzSTOJjF56OnBwnNRIpQrDty4aeROjXcZGe/h2yky7TmvgM+73qbtRidEXEMsgdUqaoW8bo+KiSi9ubqFdnif8OE+Srsw4uThaVulaW0aC1c7MCHuhEAlQSanVwvKy3c97Ao6dkWnDPa96MfUgoloNl5u1efIhlPSXAkOPzGEPA40YY+hMCWwrh4iwlhk5eaWcpEa6N4odWv2ATs83E7ShbeQVcpaNyqmRWWzkBFRuZlGoERY0PmkrbFuhu7k5h60ZtH2ixC7/x0K+IM0XvCi2uOdNy8Mjl3/oTQAsfvY7HPuvf0o6t0TlyReVtndlAVRU4cI4BhVN7JLNYhnYx5JGdlk6BreXdt4bsLMhCiLLTdAcbbEsI5cgpFpulJ6LyHH9x7ydw3jOc57De97zHo4fP87i4mJ522ic3xW5RTlhp1fdD6yZuIehmLNgmfw43bLlBu7/9Gc5dvSH2LTNJJkT7RG21tvlU3c0miyIEZIqnHqaV9JiklMVgj0xg1zBzrMz/MuatOeq5vUcjVWLyNou7hGfeGeEUd8TCDcrec7CUWQ9B/+0TbJ3QH+2ij++hCsyRt0BFTsmnHaoeyGjlQFHlsYZbM2wZx2Up+lfMwBLM1AWjcaALBPsrXeY71U502owNdoFKF17wtgxVxNNCVKz69Mph/+dhT8nieOKkR/Q4FSMi8x4rW+q2JyZ4uQO9VqbZDZd75p9xx5eLkVbWLdZmS7FsJJM4uRDMkViLipXhdEjd0VGqkXJdgG4ZPMM/dTBVwLPTsttw9Sm1QlQUlPd1qMRhPRjx4zwA92BV3Lui2oZDFRT9yMzup/klmf2cpU56LtMjHbLxVkOwT6WpQlkLrerBElmdMyVWm6SKW0gG5W72+t8GMZIGEhD5dOGipjFElzT0FQ5zqy1VTaeO60AORKTRRK3GptFFtP4DbzECGjlV1lCKvTcEvGZJgCTN15AZesok296Nc2/+TSVS3fhPmk/wrGGGpdDmHjeMC8SbW73XGqnC2mq9cKWroDEMiXQWCXzqPgsys8jtXD9cwSnrI7zvCKHZb74+9///vI+y7L+73EIKmmFcHZz0yp7KythlhU7yLdjOf/HrQUAZv/pOPPNk4w+80pGdrv0U4eaE2NbirlBFW8sJO1VEanFyEGL5taM6q4+g8hltDpAa5ida0AqDN9aWWbOouPhbusTOR5WJpALNsrX6LF4eSLutI/2Fe6VTZJHRsAxFWrNiTjRG8GXKXMLdSqbYxyRceHEPPdGNonjYmUW9UpEnEq2jraY9PukWlCxzTDSoYe3MF7rM+oNWAwrBAVTpRIyc2oUy4JjP+iASgg3ZciuWS3lWMKW8ZaZqtR5kpVG3CrKbAI7oebEdBOXVIlSnrYQvooyu8TOAzuhl7h4Mi2bgMU+i+ansDS2pYiVMVH2ZUqKWQBasdHUdkSG1AbqyvKG5eRID9XoE2eyHBYqegKFY48QGpXrort2RpwaD7J6EJlk46coZQaMbMc0SYsJTd9NqThxeQg13IhYSaSlUJZVPk8PDdCksVwe7MkrUnLvUxRmsKoYe9egpIUljDaKbRuVSpWLctleSto3VFGljL1flgqcnDrpOSlKCXw3RVqKxm6/fK/ztx7mMjth/49u5X51M/Mf/DjTv/L6EivWxclUwHjDDU6rwP+LJG4448u9DPPfFv87DCd/SnMLaSuEu3w1dU5jDcz/fIzHo3S4Vpz/0Aor+yyrm5uP92pNW+DWR3G3bWXxw3/D/N/ewsNv/hO+8+J3cdsb/5IkNKPhVcdYssm+RTADvW3gPByQZgLfTZidHWGpU2F6qm10u7f0sRLQnoKpiOR0xehXSGUchqYH5USiarpULmxBoBBCoUYTnvLkh0nzy/iCxnbpjtP0YhdfptxzYiuNWojwM8RA0mkF2DKHLmTChNejn7oIS7Nv3ykqTszCoMpCu0qcSaLUZm6+jluPkZUkl+21cZoSr2nhn3KQdsZU0GPS7zPuD3BFZtx5LE1gJ4x7fbqJS5RL0kprGSpJ87F6y9IINIPUIc0hE1+afSRK0k9curFHN/ZohQELgyqtMKAT+fSSYrIzr6LzNBmnQ0qH+Sh/li8ERhrXwD9F8tF5k1RraJ0YoRe7JMosBPOLtXI8P8uFuIrX6/Z8woFLqxMw365hW4pt1Tb91CHOJL3YY6lXYRA5JIlNmgrSRJJEdknNLBKiLiqMnF1DwYGPzPNUJEt4pYDAikhDu6zo7dyjVdqqdAwKIwffMfIAx97zce78zc8z9uIbzcZKc+Ybx3BExo5n7wRg8a8/u4x3Q9mMLFlAeQhpIBZLaqOmaKtyISySuDHJNqydAhYyQzei3GYYElsR5woi1xu7ncvo9/u84x3vKPXPDx48yKc+9akNb39+J/IcWikhrNVQ1kahrWLb/HenPspFL3lL+fD2//5aRq7cQefgHOFMG9tS9FOHoBqR+ZpwApy2uYUnaoSRg2jaZLMBc/N1PD8hnqmgbagcdfD8JD95LeS8C2Ox0RrvSyr1EKoZ3aMNgtEBnUNj7Nt9hgcXphj3+pzqNzg0M8m41ytx+E7iUa2GNFsVdM/OFRdtwtDhRHOUbuoxyBxG3T6jbogvUxYHFZS2mGj06PR8OkdH8B/0UccqZAse8XiGaqQoWxONm6O4Xg0RaHyZYFuqvDppOBFRatOOfaMj4sT40miEtyNzX8ONSozcsjSeTNlU7Zgkr0WeSEVZjceZJExtwtTOJzotwtQxz8mx6MLTs1BLrLoxNS/CyXnn0lJlk9WyTEJ07WwFpDKxa8kM/UiDme/avFA2NgvMuajMjQa4aVLGkc3pVoP5sEIrDDjTbtANXYOLh8bRJ8ur8LKBSE7DyywzDatzid/UKit1nQ/7oEGFRrgrzUQJWSglzJRnLlZWGF9EXSOKFXZyFyEt0Jli9ksP0j94kqVPfKM8nnt3HiI8tUQW1EBKwoeOUqhKWkNULmN9V1zW5k1YaZQqzYCZKhlL5alkGeu74YrcEhrbTUvMH1YmcYvh1z4HoTd4O4fxute9Dtd1+cY3zPe4fft2fv3Xf33D25/fifzRYp0EXpxP5e+rtimvtIaW4HAu46rfeQXXf+5XGNs9kld8grHqgKyRmgQ9lyv/KYs0llixhb1pwPhEl2jgICcisnpKNKbJ7m+gqhkEGdlkghOkbJ5oQcXwiN1KDOMxU40uasTAFYPQRWGS3FN2HkNpgStSOgOPuhPRPtmgWo2QbcnmnYtcvP8EatbHsTPasUc38ViMqixGAcfbo8yfGiHTFgudKmkkS2/R2lHLDPto8BoRWWBcj+JRxeZqB18mpPlrC0tRsRN8mTDmD0i1SdipFsRKUnVixv2+gUSGJF21tsoFxR+CVgq/zsK0GMgNgC2kZUwnUm0q+zB1yLQgypar8VSLEqMHqLqxGUPPzYntfAhJCo0QqtRTcXKsu+LG5Xt0ndQ0UJ0MtJmwVLFpTGqduwmlgtOtBq2+b/wyE9sk+0xAKowmSglPmIEeoBzJR7Nsn5f/veJxscy3TlNJlFf5ltCIJQcZWfheQtZ3cKtmoCpohFSCiBF/AEumGTY40VxxmJ/42He5+79/krQ7MKOtOe2xPA3EULIt3koOidj5lLBjZ6bqzj87WK7GVb4gr5X7zofhmtVhKWtDt3MZhw4d4pd/+ZfLwaAgCFjLYWi9OP8T+VrJeD08fPV2ww3poQSPBcLKBzD8AJ3GHJ8fY3O1Q5jZhJlN3YloeKGpjMDYqsVgJWAfDowPY9+h3Q1g1kdIRWV8gLV1QDSdGsMIoDoyyPnJgkpjgOMYOy4x4xEmDsFISJjZjNb63DO3memgWw7RpEqyc3wJgH2XnCT75ihZTeHaKdN+l6l9C4SRwyMnpzjaGuPw0jiHTkzTnK2DBUvNPIkrC9kXKBeiZ3SMLvqCJI1t/NmcIic1rdgvF5NUC7qJRzvxSHNKmitM09IVRvCqoGr6hUEymoYbMeabcfQC9/alwXJHgwFuTufLcjkDoBTcKiryTuSXNMUkZ2aYxqsxpEiUxLcTwtShmmPZE7VeOU1aMG0K6AlM0zfNtVwEhmFTTF+uGB9fVTVGkUMS2qSxmWDMUpEne8qmoSWMKJd0FJZQywJYFhR2e1jaDDLlryG8DDvnsGttEnaxSNiVBBVksG1AnEr88QG2zBh0TTXu5XIBk5vWbnFd8e6X0zm0wPHfNvrWYy95Wol7U0BJw7i41AZWyfnxdj5lW8BOxaBXOQW58hQrf3+sOCcJfqPV+DmuyF3XZTAYUFjBHTp0CM/zNrz9eZ3Iy+99rXdprXreepX4akgm/5lFEZbjsv0Pf4XaFdeS9R1Od43re8MNabghqRL4tYh41MiJek0jOxuPZajxBDenVvm721iWZrzWNxVhRyInQ/yaYUlYlmaq0iXsu0zVugg/pX7xksF5heb+I1to+CEXjC1y18xW+qlLmBnT4aML47gy45GZSfp7E3bvO4MnU84M6lw3fZQX7r0XnQqWZur0+h4X7zzDvj2nEa6hCz559wmuvOAEm6+YoXrtvEmejQR9aRfn/gAZgogstK+IU5s4s2nGAYtRBVdm1OyYdrzcTBu+zC4uo5W26Od0Q3vI6adgolRsI/1aVO1F46xgbBQsCDAne6pMJV4kbqPVYuHaaW5CYRKZPZSkMyVw7YyKm+DbKV5eHRdc9jg1Sa+AbjJthLMM06SosC2IBTqSqIFN2nfIIhsV2ehUoBJRcsMti3zMPXfpkYYW6fipMYC2jWZ3ITyFJDe61iDACVI8L8V1jAGzypOriiRp08OKzWvFJ6tEbc8k8Z5dyhg0w4CeVeX5X/658vOWo0ZJcuFURvWqvXTuOExw1cXUrt1f0gFX8MDz3wuJBzuvxIvFT+vlnkTJShk6tXT+3Rf3P+rtnFXpQ9XceUw/fNvb3sbznvc8jh8/zmte8xpuvvlm3vWud214+/OetVJGUUFspBLXrDm6P3yfHVSo7LuIhQ//PZOvez7CMydBMWodZk5ZGWtX09sGO/6xT+vCKvQlcSVDPVKj8aQFxoJ+mXhq1YjmmEPFM3oYnYHPnrFF2rFHtWbw3UZjUCafRmC8II/OjfOUncfYOtIizGwaTsS3HtyNXUlox55JIIlVUvZ6iYuwFM0kQAYp0lbcsOMIqRaMOANakwHXTR/lMw/vJw0diART25fQGtxjHnbfw0oxnqMVjTWQLHUq1L3QNB4jl+2jTfOZCDMOPjyGXgzwYEGqRFmpr440r4AbTkQsJd3EpRd7SEvhu0k56KI1eDKln7jYwqgMuvkYepHoZWaYJanycWVG1Y0AqDsR/XT5+yp+RrG5TE0sQbsbUAnMME3Nj5hfqlGpRSW3tdTPziysjByGM2weS1loK9dtKSCKPAmq3LknS5cdjCwr1y6xNDhgO4osNj6idn5FVoz4p5ksvTzDxIWBxGlJlKvJBjaMJuYKQAnqWztUPaNrU7CBLGHxgq/8LF//uY/TvNsYdvTuO4ZfgR5QuWovYOUGGrpMWAUkJHNruWJWQFqqvCpbluc9+zR7PIl5eFz/nMQ5rrY3Es95znO4+uqrufXWW9Fa8773vY/JyckNb39eV+TwKI3OR2GyrBmrjjttwa4bX4k1n7LwF19CNV3OzI4YhoKyS+igXgkRjRhvCY49r0rtGMQ7YoSXEcya0fdD929lU6WL7yRMVHps2bpEf6lCnEn2Ts5z5z27OdNq4DomUfm20RFpPTJKL3KpuEba9NZDe/Blyql2g28f24FdSbAOVTly+3ZYcpneuUSmBMeWxspx96qMuGnPIzxr90NMeV2Odsb47twOnrX1IT79lQNwuEr1Xhd7JKL3z1PY91exFCQ1cLvQ36bIxhP8ecOLnu9V6UUutsxohYFhl8S+UYfMfTYLCiEsM0sq+dAPgG0pUm0YOAVMEytJmNnYOebq5fomlaFknmpR0v6KpqgrMzIlCJyEcIgtY0uDow8Sp4R+iquBMHXw7SQ3ejCDO4Ef0x+YS9UwcYxFmrKQ9pDTTUEdzP1Uy+NGmealToc67wXOnEugCqly4ShMY1sDAwkDSdq3y+NPKQu3bnTsC1aPLTO6HZ8sNr6vak+fbCzFCoyWj3AziAQih6Q8mRLmV0D91CGwMy55z39g8w8bB/jm577N0rePAFC78fLSym74BLJyhoptLw99GR0eUU7Sml7G2Y3LtZL4WgJU5w1e/gSAVgC+8pWv8MUvfpEvf/nLfO1rX3tc257fFfk6WPijNr+L42blcbuSe67NZaZwPeiGONZmcDT1kQFharPQr1L3Qip2wqg/oOt5JDVjciwyzfSXHLa84TiHv7WXcb/P1qse4Xh7FIBMChyZUZ8wmK2wNFsumKfixGUCNBxsH2drnzQTdEPPjL6P9ZgfVM3E3qmAif3zzI76OE2JlRkI4aLRWbpVn4odM8gcImXjiZROauCPE8cnIbX4jrcDb3eHzSNtjpyehEQSTWhGH7AIx8xHEdeB3PJtsCNBKotOJzDJTGp0JaLiJlScuEzc/dQpk3aq80q8GPApGpgUVXuG0Lqc2IxSm1SLko1S8+Llqc4cv7aFIsqHkMqrAGURpXbpGlT0HArstkhAvUSugFCkpRnETuksZNsZceSQFJK1kYPtLkveFgMJ2jZO8lYkDHyiAAmWYzxNVSJLZ5wCF9e5/HFhAo2ysIYSvpUP3mglIGfhSNewa1xpBNT0QBj981yD3HYybDujf6aGOzUgzmUACrgjya9W5hah8827OfN3yw7wKs6wAg93rErpf1qcAjkWLm0DpYgc5irs7oYr8eLv0jyC5Yb2itCsKJbWfPxcxXmQpB8rfuZnfoaHH36YH/uxHwPgAx/4AF/4whdWDAg9WpzfiXwoiv7MuoM/jzcsCE8dI0m7TD3vOSgvoz1fZaLaY1O1Uyafip2wc3yJg/s8Jr7hEo5ZOD3DjW7vN82yu09tYdt4k0m/z3xYYZC4pfDSXL/GpmqHw0vjTNW6nGk32Dm2RC/WeE5KlNhIkTIx2qXmRSTKDLGINIcbNvWJGw46Ezk23mBPbYGT/VHalkneW4IWcWzzhaMXc+DiI3znnj0cmZvgpt2H6CY+43uOc/u39wIwf32CvWhTOWMR39iBtmdMJryMrO0wuq1NnMiymi34wr5MiZUsG55F9VvALW6eZIvLcjPoYwaE4kzSin0GiYNAU3WNi5DWVm6EbJeUwFQZc4SCnaJ1Pm6vBJmSjAQhYeKsENmKc2ZLQVUEiHPTizRbtpAL+66h9kkLYRtrtCxxIRVG47zoReYmGoUeOYDlZuUYu3Cy8hjSCrTOYRVtlY5KgLneTZeTeZZryGMJMlvgOSmdns8gdMj6DpatkbXIjPOngjiSjG9pIreaRFv3IzJlkSjJdKVb9hzu/ch3OfqX31xxeI//4JNx9u8zixSrEq+Vs1Ty73D1hOqwh2oRG6qsVyXzFfefq9Ccc0bKRuIrX/kK99xzT9nsfO1rX8vll1++4e3Pe2hldWt8ddPyUbcbCm2dfZ8IAtJBj9SLEY5CeBl1NyrHxm1h6HejbshlF5wkHAenZ5zEH1ycwqqk3DT5MC+/6HZONUcYcQdl9dLq+yz1jFZKmNlYlmF0NIKQmW6duhfS63mM1/pMVJdFqFr9gCh2cPe1ad0+RTRbwTniU7vbJcyr4VZixL1OtEcAiJVNN3XJEsmx1iij29qkMwHfObODxSjg7tNbUJ4mq2fIICUdzchco4GuMwv6Nq6XYMWmObllpM1oZcCIP2DMM4NBrswYdc1VSpGogZymaM5UNx9jL0buU2UglX4+HNQPXRp+WNqj2Xl1Ccsa54V2ySBy6OeDPFobhkuSSrqRV3LQC72RojpP8t8zJYhSu+Rgg0lW5bCOssji3Nw4b3Iafrc56Qtp3MLwwfKynGc9VI1aphpfbp4biWKGOOSF5relLFQkzWedv/6g7xLGtmkozgal9rdKBWpg41VjKqMDzsyOIISi7pt+wOZax3iipg7NyAxU7XvDjdzwuV/iho/8JJYwb2jpy/cw/6efQUVJeRVaHve5lnrBShluKGtdNDCHTqXH4oCvhjbXgSzOqWjWeQ6tXHzxxRw7dqz8+/jx41xxxRUb3v4JU5EDy43M3Lnke5kvKJlXFviTW3D37aJ/x62Mv+BaLKE5060zGgxouFGOQyuUliyGFXo7M/qZhT8rqAiFOOPxpdmLuXLsFNdvP0orDtjTWOBga4pBz2NsrMdkYCRipdDM9mv4OVwz26vh+Qmd0MOuZrR6AVUvpnusgYgtxI4+yURGcEKSXN5DeynNXkAn9LhgfIFxr48tFd3ExZcmuV6wdY6FfpUdjSb+vpT5u6boXJ4StTxzInrK2NKNRGjbJm67Rqkxlnhuys7LjwPQcKIyEVdswytX2lTbrkzxc2d1N2ePpEpgS9P8dEWhu2KXFWMxHVr3QrqxVyo9RoldwjBF5SwsTZobIQy73mSZGVEvkowURgogik01b17TVPGFWJbWFmlqpieLCUlQ6ByTt8oK24hJqdRBOdocV4XjkKasHrI4Vz7Mm6NmotEqeeHFrE2xCJBapf+rZellQ2NthoH6XQerkqIbCaQCrxGRhDbeWEiWClw/Y8umJv3Y6IwHbsL8wEAlxRWN0hadyCdRgsnNFa799C/RfmiWyoWb+c4L/gdHfu73uOCDv1RCK6XAVR7ZULU6DKEUf6/1+/cS5wVWfh7HwsIC+/fv59prrwXgW9/6FjfccAMvfvGLAfjEJz7xqNs/cRJ5AaksF1Ybg1lWYealLksem7dez/xtn2L0leYyJlWCbuwxHXRzWp2L0habqx1mxxuMf97H6SnUTYpsIuG9ez/KC//xzfzts/+Qn33g1Tx5ssOIGxJPdNg7Om9ofCJjW73FxY1Z/u7By9k1tUirE3DZ1jPcdXQbvZbPls1Nlm7ZRGUAvd0Z+kSF+t4W/VGXCzfNA7DYr3DR+JyZsNSCXuRyZm6EQwsu1d1tklSya2KRM906i60a2WTK/FIN77RjxLtSgdWTJANJsjdGtG0qDzr0rgzpD1waYxF2zjypiJgwcxhze0TKJswcUiWxLYXrhOXf3cRjS9ACQGnBIHPoZ26Z+M395mc39gzlL29OFkYVaWbUAFU5IWncfDJhxr6VsnAcA7OY8XDTa3Asw7jIlJUbZ9j0Us+IQAFpbIOlSROxjPsryyj65XBSORAjNCIwphFJIo2GeSbMwZJXqtZQg9OyyBcGC50OHVMWphK3NThGltZKLbSNMS4W2uDklhkwI7MgE6Vmue1mpLHED2JGKgPi1DZaOTn1soCjskKXJZckcIQy07dhQLZ9D6k2WuXZUoek2UM2jLD+cKIuIBUrXzy1No5Sq1kqJWa+6u8Vdz5KnOskfq4GSh9PvP3tb/8Xbf/ESeSrooBKykpjrS/LWvV7kcSLhqeAyq699P+pSXJmger2EdrtGpdvP13iwc0cK1eZhefHuG2X008V1D47zXWveJD/cer5XHPJES5zbH5i99dZTGsc7Y5TdSNckdGOfJ6++WHqMkRYiqfsPMZmv82e+iKTbpfdly7w7fmdbK22WbisSth3zEltG8s230lohQE76k1SX7A7WCDxJccHY3h2SjsRyM0DwwUWikMzk9SqEfq0j7CgerdDsKBpaq9knylPkwJiOqQ3lkMbpyucGmmwudopq2pbZCxENab8DtLSdBKzgAQiM8wUJA0nJNXGTMLLp0FtkdHFJ8xMc7OXuKbyzZuS0jJJpzAr1vnEoJH2NZ+1zswXmygb281x+KHKuwhhLZtalAbKliaO7dKlHshfX+EE6fJ0Zp6cXTsr/UcLR6DYViSR0TzRWhjIJcunALMcNknlislNi/wYSyzIR/Gt1CxOlqVN0pagUwsrEbn6oMHQdWqRdFzcRoztmoGc9sD0QLaNtKjYCXODapnQq25UasHrfNHsxS4qjEljOPPVh8v3deQnf5sLPvL2EkopbAC1tkhyH1O1ARy5PIXWanaez/EEeK9Pf/rTAWi326Tpsmrk+Pj4hrY//zHyIjRn49zW0G2IlbKhsAxEI2yXxjU3cfiPv8SWirH3uvXELpQWdFPPNPG0Rc2JaQQRSxdJ3LaFsmFr0KQZBTQjnxvv+DFe35ghw+LpkwfZWm0TK8n100eQKO5qbwfgyY3jfPKhJ7HTX2TS6TAb1XnW5oewRcaB7ce5bPcpNk21cUciXDslcBN21JvcN7eJi0dm6SuXmajBQ0tTeE7K9OYWF2+eZe/YgtEfsRWtpQpsDlGuYrAJBlMWyoF4TJFWTSXoTfdx3ZSgFuE+4qNHUk6eHseXCbEy63sgE0bcARJDc6w7IVUZI9AEcpm5AhApmyz/8AOZMOV3aLih0VG3E+JUljK38dC0piqnJHP4Iin8OZedzQv2hGXp0n+yWBQKDZU4N3B27ax02cni3NyhhEEMpFP4YZoJ37xpmi8StlT4TkLVj41mDqyoErTFMuSCaYxaqSgbatpTRgKhGByKRSlhqzPL4OiaZVu1REAosRzjMp90XaPlko/sV9yEhX6VmX4NT6bLw1BCcXJxdMUh7doZc3/5RR557TuZed9HVzx26u0fXkELLIZ8snzy13ayvBr//nlYnhf0w43i4+e4av/gBz/Ipk2buOKKK7jmmms4cOAA11xzzYa3f+Ik8jUSeMkxJ8fNNxharNzftktvpvfQAv/8t0aP3EwjRtTsiIod03AilLY4MzNCf3+EFpBW4e/vu4JRb8Cbdn6FhSNjRDrhge4WRmSfbX6TM/06qZKcCMe47YEL6Gce43aXn738q1zsn2Y2brAYVbinvZVY2SxGFRQWU5Uuu6cWGHFDDkwc56LaDM/acZBO4hvBKSV50sQZqk7M3tF5Jv0eU16H7Y0WtSCi1giNs0yWN+4sUK5m7B5Db8smk1JnWwqNiAFLc/Gu0/RTl2bkE2ZmmMa2MiJlM8hcosxmkDn0Mpde5jLiDKjbEVnOFR9kDr3UI1WSVEmq0minDFKnZKLEmSyd19NUDiUO8iq5+FJz3HlIjyRO7FKHu2jAhXllXzTtosQ2fp1l1WihCtlVSxuTYrU8Uaq0VfLYbanyKhdG/AGj1QFuJTEYuFQGGpEaXDOxib3ydz1k2iD6Eqsr0d6yDrmlgEgiBhL8zNAbM6s0LRG2MkyZjkOSGLnaMDUNUdtS9PNhqqLHcOGmOVyZ0Yk9upHhyO/4kavK49rZvFzNhfcdJj4xC+SQSr7w2IHxMBXr4A+PmYjP/2LXGHVv4HYu493vfjf33nsvR44c4ZFHHuHw4cOPy/LtiZPI8+NsLfbJisp89d/rsF50Dslgmao8mNxK/8HT9PumMdhPPQIZ5xVq3nzzMkbHeyQNTTil+PErbuXu2S3sdeZobF82pegon5qMOLk4yifvuZy9lTkmNrfY7i5yd89U5u988Hnc29rC0sAMDnVzCddCKvbE0igzvTpKW3Qzj4Y9YDas8XBnihFnQKwk036Xuh0RZg6DzMUVGTsbTcLIoTHeo7arjdoc0d2tYFPI4o0RMrTwjrpEoWsalEIxuCiCUNKOfBbCCnbOtFmKK8xFdQaZQyf1WIwqdFOvhDYCGVO1I2oyJs7scho2UjaJFkTKxrYUi90Krb5PmNoMIoc4rzaLKlUlooRSUAZ6oMCni+9dLTfiLIuSqVKMkRfDK6bi1suO7fk+C3ZKGhda5aI0jihw56LZWvdC4szGkylbRto4XopbSbCDBFlJEF5mKmg3M7+7mWG4FBi4rVEjiSkYbG2qcmEwc1yFrqU4QYo1YZgoumaEu1QicYIEMRKX05aBkyCFZswfDC2+qlSQLIambKFo9gOisa1c+pFfZvdfvoPd/+2VYEvsqVEAFv7sH8qFUuWLX+GHuhYrZb0kvpEq+5xX4sPxBKjI9+7dS6VS+Z63f+Jg5BtobJbNzMexz9xikJFnPYuTH/4Txl7+bPDh9pPbePYFD6KKxlyup9ucrbP3ihOcaTdQWObSN6vykt13o1CMOn0qIqafeezfPMOdj5jE/cYL/pkT8Tg1GeGJhFfv+TZ95fK37SsIM9sIRTkJk26X247uwrJg7+g8JwZjKG3RcEKm/S7fPLmTWEmEZcbei0oqVpKtQZPZqM7uqQXj9Rl7+BMJi06VkfqAMLYJF1y0ANs1QzWOnWF7Ke4DHqfkOJu2Npnw+/gyoWobvvd8VOV0p0HNi5gKeqUhBMCZsMGIM8CVKXU7pJUE1O2IXubiipTF0BycIm9Ghj23NP4tmpK6MDbWmOnJ4qvWoJAIMtOgtJalZ7VeNjrW2ohbZZHEqxUKh2B76XLTUmtUZIOtCLsufi0uNbZVnvOlUNRdw+W3LGOUkWaCWiXKzSoUg8hFZRZKC1Od65yJUiRDYf5XS2qsSmIMIjxjlabzsXg3N7XI+jYiNUNEONpw0KsxQSUuzZ89N8KzUx6cm2Ky3qPmRiumXgeJmW4VlibNBK3P3EJ0dJbmP36XqR++FnuszpaffgHH3/6XJKfnTZM1r8it3Cl5uJn8PcXQubnCcGIVC+acxXnwFh4r3vnOd3LjjTdy3XXXrRDL+v3f//0Nbf/ESeSwTD+0llkrGmCZzrt+43NoHytYL3k4MyH+tp3QcekryfSmFr3UwxMpW4IWC1GNLJbYcw6POFNcfcFxZuM6z9t2Hx88/Qz2VOf5m+42nj1yL82swh3hTnZWlrh78YIcPxY0kwrPHLmPb/b2Mm73uGVhj0k4QrGp2uF4e5RB5pL2XIgF11/+CB87+WTi1GbJDujEHiOVkEOnp7hs++k82Rqq4Nfvv5BnP+l+qjJma6VNmBnO+VIUsGWiRT92jWHveIJKHbKBg6xGJqHEEi2NrG3VjWhGPpsrCQtR1TQslWCq2i1VDwWaqh2xGFexLUUv9WhGAVUZM+b2mQvrTHhdOqnx9OzFLp2ub5p+Upf0P61NA1Gn+eRhcYlbfC9pDrkgwTVaIM6QnkucSdJMlvKywlElP10Lq7RfMxKzQ9fOFqVKosx/OkKRDCkr9mKPpOCk5xRHKYrGqkBrcyBmiSgnNlUqTIUuKGmJbj0uxb0KmmSZ4EYhdlx0YuGPhVR9M/1bdSPC1EBbqRbURcb+6Vm6ibtsi4emGQUApWxB4CWcvuconVvvB6B160EmXnIDx9/+lzibx5n++ZeXCVbYBY+cMok/VhNz3dNq6IFyAvQ8SeKWfmKwVn7qp36KZz3rWVx++eUI8fiBkidWIoe1K/N1qvUVFfoazyke10Bv5hj29ITBlXsGSjncGedJY6c51Jnkovoc45MdWm6FbZNNdlYWOTUYpSIT9tbmuLO5jUmny5TdZtpuc3rQYNQdsOnSWbqZx4Ts8qTqCR6ONqO0xdcWLqThRByJxnn1Rd/kt+99LiOVkNvntvHki45y+517+D/HD+CIjLGgTy9xaeSX/BOjXR5ZnODSqRk8mTI7qHH53hP0UpeqHSMsZfBrJyyr9/l2DcfOGJ/q0J6ZMCp7fu792HYYXBgjEsmp5ghRx+NkdRTfS0rGRMWOy8ZvIE0T0BYZYeYQZg5bKm06qUeYOUx5XQY5ht5NvFJeNkuMhjcW+ai7yPVLchZR4XNZ6nlbJrErg21LoUvp2YKWl+SKfc2FGtJbdrwvEpIXJCWXXAjjLSmlMnrk+ah8oX9edyNkbhCdKcvoyAhFzTfaKAWk0cvhtyxvXKoctrFSgXY0WhvrONdNS5XHAhZJM4nvJsZ39HQFO7TItoVlA9PNOffC0tTcqDR+ti1VQinFAl0OO5kOLEpZjD/rcuxA0rn3BMGFW5FVl4nXPJvJH74RhASUcaCzDJ4vLb2CxfJ4T711n1uceOcDwnI+wTzrhG3bvPe97/3et/8+vpd/09DWcvVmLm2XGxaPawHOv+OgPs3Crbdgfe7TVK+4mllnE9M7lvjCZw5Qv3qeBx/ahr1kM3HFHFsqHRbjKr5MONyboOEMqNkxs0mDf0r285TaI/RTh+PtUZ67/QG+fGofjlA8p3E3X+5cyulwhEMLE+waX6Lqx7ztWy/E8VOi1GhpHG6O86qbbuVLpy5ie62F0hbTfpdmHNBPFZkytLT75jZxxaZT9BOXQ6emuHznKUacAaf7YyisUpEwVpJ6EJa8boMbm4opih3DvLAzxkZ7BE5CfXKB+Z5RgzzRHGX32CKuyPBEii0yBpnDQljlWGuUA9PHqdoxo86AqoxMUzTXfylG98PEJh04RkQqyBBOll/a6/Jy3srhljKJw4pSSqWCMLYJnGTI9s00KgMnZXyykyse2rhOhtbGVMJ3UkMFlRm9xGWQOLgyM65DuQtSmrNffJnSTx0GqUPNM96ew2YWqTbiXaKqDUyVmkVJp8I0Ln3jvVlw310nKxeWwj2ppwSLizXTaB1LEH5CoxItH9f5sE8RpY+syNhebdGMg9I/NLCXVSkLuV4cm6Uv3wNAa7ZJ65/vZf9Hfx3pAuQLqhRkmSgT+EZj3fNqmNq71sPnuCQ+143MjcQzn/lMPvjBD/KiF71oBbSyUfrhEyuRDx0sax4bwwfTBuGV4mf9squY3uHTm3+Y2ff/Ce6eXcQvvhF3+xhLzSpbdi0weUnPON5gOMmeSNnuL/Hd5g5umjhEP3PpZh6+lTDp9+lEJuGOBgNOhw16NY9e6tFOfJ6z60G+ObeLazcd5R87lyAsY3bg5vS8jz14FQDXTB+jl3qcGdRLJ3rXTpmqJVSdmDS3UNPKyi+7JQ03pJ+apDVInbLScoSiPfBIRzP88QG+mxgGyaIgbEimq118mbIQVggTh0YQGvhCC+bDKjUnpu6EdBOfmh3x3G0PULNDzkQjzIR1qnZkRK1yHrpjKSp2jGenCDdDadMwlnZmONrKJEIrswwfu7hEyu8D0EKX5g0AYWqbKtLSDHKBrDBfADNt4TopcSKpenG5mIFhfUz4fezKsnKjbSm6+cBXlNoMcjjDkylRZnPi4Wl27zuDGhqFdGRGP3ZQShgIJcVcRdganVnYgVEUrHoxmRa5XZ/mzGKDWjWi1/PwgoTBko8MUsP515T66QU3vOGFpYdpqgWzg1r5HgoFyii18ewU2x8w260RLoXokXHGX/50mp++FdWPcLZNYDkSy1IrEmqWmf7I6nH8FafJ4+GLn6dJHHhCYOR/9Vd/BRisvAjLsjbMXHliJPJVCXrFsaHXeA7Lvz8mZp5H79QjdL71NSae8XxGXvYkktkzzPzuXzP1htdS2bWX05HktDXG7u1zVJ2Yftpg3OvjWIrLRs4AMO22uUR2UQi6ictVkyf56pkL2dVYYtzpMyr7nApHONIcY8rvMl3pcufCNqbHOnRDj0Fil2p+jpPSCCJ6qUfDDlkUFSMLi0WUQSf2qOfu7p3QY2Ssz4MLU1w5fYpu4hFmtkk6oYsjM8LEod/3uHDLLGJ8CaUtTrcbxKkkC0AnInf0Sag7EU7dwA2XTMxhi4x75jaze3SJCS9lyu9QyeGVSDn0Mq9sugYiYaAcMm0xSAK6qUfgJvhBTCxNZa7SnP6WDcnFQpnEUcuJ3crddWwnozdfZXLPLEluJm1L406UZLLkkUuhUfkYutC65IeHmU1NxMSZzOmlZnK1HfmlwFaRdHuxi7Q0O/fNmGMjdnGEohN6VNy4TG7SyVCZba4iEnNFkS25+Lv6JErmjBPFUq+CZUHvrnGyqRTlZNjVFJWaRqMxw0hKTn5gJ6XxczdxCTObrZU2DyxOG1MMZRaIOJNUdIwjMmpezKmPf5X5v7+N2nWXsOmNLyA8Ps/0jz61hHWsnDdvWVnpEfq9wA6PleDPi+RdxBMEIz98+PC/aPvzP5EPJeqzjrvisjxP4gX9eN0vbhXIVzRNNWA3RoiX5jn64d81T7Udxp77gyz93aewf+I/MH2Rpt31OT4/xs6pxVKL5b7WJjIlmAp6XDf2CK6V8bnmk7hs5DSnwxGumDhFIGNqMqKZVdgeLDGxucdcZCqsYnqvEYT0Y+PWPogcorZHHNtsq5vLrHGvb8bi80aX0hZLUUCmBHFsuNMXTs4bHXCh6IdublhsIIKJao9ez+PgHTtxdnS5dtsxDs9NYN1XI90ZUxsbEKU2XWGS8tKgYuRfq21ckXLV9CkjI6vz0XgUGYIoc7CtjMwy1L1mElC1IwSCFMmo26cde9T8mGYmEW5G1rexCtf5YjAGSqd3w+7AXBMLjXQUnpsyvmMxdw0y5hpOztoIcziliEYQkmTSmHBYK12LCoy5Hfv0c2u5REniRJZUxOL5hXdrGDuEUMrpJqkkTQW2rXLJWiDI2DTVNtW1k5qJVW1x/PR4qWMuKobNkpyu4GzpMzE6wMn7B5aly95DzYlz/RzBuNennfjEyjYepTm0NNOtm2Se2ghH041c4pPzuNsn2fWfX462DGZeGEYU0Rt4VAMD5aye5nw8Ffh6zx1O4sOn2+PB17/v8QRI5P1+n/e+970cO3aMD37wgxw8eJAHH3yQF77whRva/vxO5I/1BQyxWGCdxqY19Ot6DVHAHZtk97/7eXpnjpI4MXQjRq+6FgYxp37r3SzsmGb89T9GNd3M/G0VDl8ZMzLRZbrWZbLSxRYZD/S24NQydvsLPDKYJJAJl9VOorRgk9PCF+ZEPd4fpWbHnB7Uma53mO3UiTNJ3Y+Ya9dIIhvpZ6iTFc6M1dlZN1CFLxPmwyqLYYVxv8/CoMogsXGclJFKyGJY4Xh7FN9OjfFC4lBxYuq5k05QiemNSraOtoiVTTwXIGua+nifmm9obvODKpNBj4obc2JugsrmGMdSRFpgWxlKC4RIebCzif2NM5wcjFC1Yx5qTnPlxEkDr+TDQc04oJZTJMsmYs/JF9589bUwlTl5AncMkl842FgC3NxtqeBQZ8ouG4+enZZDQG5uvdbL3YUKCCbKbKRluPG2pWgnZmK3YFYUeLYZKrJIM1PtZ4lTUjSVskgSh0HHozoSopUg6kuErdiyucV8p0o3dGkEEYGdkFiKuW7NJLtQQiVFVTLkog3bQtJ84XCEweuVtmi4ZghNWIp2EpRSCakSHO6OM4gdNjfapLnRRqYEWT4I1fz6Q4Snm1z4Oz+B7WiEtWyLV1TiSlvUg5BMLxtGPBblcDhhr07Gj1Z5W6t+rv793zSeAIn8da97HQcOHOAb3/gGANu3b+flL3/5hhP5E2IgaF0K0eqBn/y+s4aG1vp96DnFMKFdrTNy4ZMY23c1o0+5ARzJxLOexwW/9BvYY5vofvUbeJc3iZ7axakkNGfrHPvaTr75yC6TtKunWEqr3FR9kB+buI0fGHmQry5eRKIlp5JRqlbMNbXDXNKYYczt48mUbuQx6JtL96oTc+mmGTw/IUsE1lZjdNGO/dJGTWGxs94EYCzoM17p0wiM7kYvNpjqQrtKPzYVeaHPPe71eeq2wzz1EqPBMTuoQi0lC8xIeiFl2vBCAByR8dRLHiaQMZGyadghgUxoOCGRstldNVz175zYweHOOE+dfqQcqCmEt0bdAYtRhYq9PEkq/NSoAqYWuqAEypWXSdJR2F5GrR6yeaLF1tEWgRPjybSsoFt9n37ssNitLEvchq5ZLDIjKBblfqlVJ6aWm2MMa6o7MqPixIxX+lTdYqHQeHaKZ5skmmXLSc9xDBvFlhnT423GJ7rUaiELnSpTjW7Z3FTaoh35ZJkwg0SdvCLvSfSWkFptwPR4h4oT4+TDPL5My4ZlkcT7qUuqBa3YZ6LSo+ZHdCKfMDVXbs2euSJbWLQ59j/+D1MvegpOzS1hk+Ek/i+JjUAlFmufjudDFPnjsW6PFcePH+eZz3wm+/fv57LLLuN973sfAHfeeSc33HADl19+OS960Ytot5eHA9/5zndy4YUXcvHFF/O5z31u3X0fOnSIX/7lX8ZxTJ8mCAJDcd1gnN8VOWd/wGd94MPDCEN0w5Jrvt4CsE6XXVtApkAKdE4EEJ6HP7GN+X/4e44MQjb/9EsYrfWx6n3mgxrWrM/hrePU7ZCd3iIfmHkmL538DtN2m5sn7qevXLY6TTIsPjH3ZC5rnOJEf4xLR2Y45oyVvpTC0nQTl+ftuZ/5qMbXHtxHqxNQdyMqdoItjBmyyNkWxcRpnNlkqcFkZ+Yb+JWYmhfRDn1m5htcvvNU6a4z7XVy1UKX7VsWEZYmsBPmejUGqcOE3+fi+gyDzKWd+jiWAplTGu0BC3GtZKbcv7iZH953F5GymYkaxEriy8SM6GtB3Y7YUW0SZTZhZhMHptJtx9IMzAht/Cgza9Viq5lo9LBlRjW3fjP/p2nsFgqISSppBCGtfsB4dUAvcumEHlUvZqLSM2PtqUOY2vi52FQRhfdpqgRhPgDkyswoMVKwYRLixC4rdcuCyYlOyQeXlqafShqV0PD0HYN1K23RbFaMkmEisXYOcIQmlYrJsW5JZaw5MTUnKq3xwszJF5qUbuLRTx2WosDwvvMDOVMWYeLm8rOK+VuPMrjzIfN+xuorD/OhJL7avWnFMb8O53tFNV4M+KxxOhWPrxfnfMrz+1SR27bN7/zO73D11VfT6XQ4cOAAz3nOc3jDG97Ae97zHp7+9KfzoQ99iHe/+9385m/+Jvfddx8f+chHuPfeezl16hTPfvazeeihh5BSnrVv13UZDAalscShQ4dWsFceK87rivyspuZwY5NVvw9V1+tV43qt+9coJR55/ztZ+tqXS9rSwhc+y/xnPsHu//zfiR48zvxffZ1e5OLaKWOjPZ5y7UPsrC3xiQeu4LvtnTx99EHuGWwnQ3CJd4pHBlOEyuHDMz/Aj226lTG7x+WNkwDsri5wxdRpKk7MQr9qsF1tYYsMvxahlaATeyxGQal/UpycqRI0QzMUUlijjY31SFNDT9tU67B365wxybAyxp0ef//Vp3DP7ObS7GFLpcPWSotrpo/z5PGTHBg9xpjTY8rtsMVvMeV2SLWkmVS4t72VLxy9iEPtCUadATdveRBhaRItacZBnnw8g+Nbmpmwbl7X7THqhtS9ENdJ2bS1SdAITSIXxlleBil2JSWoh4w3emVi6CUuvcTNR9INpFL1YhpByK7xJQI3YeuooWhOVHtUvZixoG8+Hy1ML8NaNmUuPjeAmh2XzeUiColdhcVSz0ylZrneuuekpTxAsZ/tY03Ggj41zxhrGx9RFywzaKNiSRZLhFRsnm7hOSl1L2Qy6JEqQT91iZUkzmwazgCgvIqpOTGBnTDqDeglbg6lmAElrTVzH/4scx/6DHKkys53voHG9ftZHcUUKFDCKKvdf4aHeFbfN2wqsZbBxFqPr/WccxYbrMY38ha3bNnC1VdfDUC9Xmf//v2cPHmSBx98kKc97WmAMVH+2Mc+BsDf//3f86pXvQrP89izZw8XXngh3/zmN9fc92/8xm/wvOc9j+PHj/Oa17yGm2++md/+7d/e8L953lfkwNqJ+1F4q+VThyr0FYl+jS9t+Ivc9qOvRThu+XftsitY/PLnSWZm2fHqn+boB9+Lt2M36hlbkFLxrdsu4sM//Ce8aPwO/nb+ACficTY5LRJtM5c2eOHYHfSUx3+Y/jqLWY1x2WVU9qnLkGPROKkW+DLleC9gaqrLA+1NjLohSWI0oputKmHs0A9CHJmxpdIpzYwbXlh6YSaRuzxSrmTpOVpgrSP2gL1XnGCQOjTyUfQws6k7RmJ3MakQyBgyj0RLPJHyYG+T0ZMZXzBMnC0nmXR7uf6KT5TZJeTiyRTbyhhk5rPz5bIcZzP22Voxl5z9xKUeRIxWB6WcrdZWqS0S5y5BBXZcqPX5dlLS83w7NcMyGHu32ZMN9u2cYVewRDd1S3PqOJP4MqViJ7mxtiwTu6GR6nL/aSZKF/kklfRaARNT7bJSd+2MJJO4OexS88y4/Gy3xuZ6hyi1WRr4pt/gJwz6rlmwcsZI0ScoaKlKW/QSl6lAlc1NYWkm/R4CA1HVnIg4s4mVJIstwtjGcTKW/vF2BvceZt/v/Dh23V/hhmRZuqzgy3NBUzozmb8f/eRZXaWvN7G5XpJevTic62S+kZibm1uhOPjGN76RN77xjWs+98iRI9x+++1cd911POlJT+ITn/gEL3nJS/joRz/K8ePGoOXkyZNcf/315Tbbt2/n5MmTa+7vuc99LgcOHODWW29Fa8373vc+JicnN/gPnucVeVmFr3fMFY+t6qwMV+V6VbU9/DxYXo0LnBwLguntuJPToCHtdjn91/+Lvb/5LioX7MNuNJj6kZex+LG/I+yZJKTGEt56/8vZZje5YfQQjkipyxDHSqmLAZ0sYFT0aaoKFRGhEJxKRrm3txXHyph0e8aFJ7O4ccLwRvdU59k83mZyrEvatxn0XXqRS5JJZvo1wswmymxcYVgPhfqdFGZCcK5d40yvzmJU4cygYaY7kxqPnJnCEWb4pXC5jzLjTl+3Qw73JpmJGlSEwcZdkTJR7XHH4e1srzap5824QCYMMoe6E5JoQaxseqlLKzEDK0pbTHjdsmIf9/oISzPuDag4Rme94sRU3JjRygDfSfBy+KOofgsjZWfIds+RGY2hicepoEfDjbhs9ylGXTP0VLPjnPmRloJS7cRbgRUX/3uqls0tgNLn07EzpqdbpbF0zYuo5DBPkJtPezIlUUbNcb5fxZGGP15EUImxpWKkEjJaGZRJbSzol3MDBdRRtSMckRFnNpNul3G3Z9QjlWHfdCKffuiilCBsJ8z+5ZfZ/FMvQFQDMwkqjMmGeJQkPhzDAmSPJ4ar7tVuQuuxWM45HVFv7DY1NcW3v/3t8rZeEu92u7zsZS/j937v92g0GnzoQx/i/e9/PwcOHKDT6eC6ppBZC+O21vnAb775ZiYmJnjBC17AC1/4QiYnJ7n55ps3/C+e3xV5UT0/Gs79aMfIEKvFGl4Qhn7Xq58//BOQfkCyME/7tlsYu/YHAGjsuoy57sdIzjSx9RasQPG8J9/PsXSc73Z24YqUo4MJnjbyEFOyXZ5ErpWxmNXItMCxMk73G2wZa5FoyeWjp3nRprvoK88wK1KfKydOcqgzCVuhF7kIoVnqVqj4MUuDgMBJmUuNfdxEpUcv9ujHDqkSjFUHbKkZHvKTRk8jLU078alWQ4MNa1EmzjBzCGRCJ/VoJwYaOcFY3hy02V1fZHpvjzTnRistiJRgxBnQSUx1OeIMGOT7UVjU7RBPpETKcONHnAGtJEBh2Blzg2rpCJ8oiRRG9EkKjZ83R4ukFKYOiZLU3IiDxzZTHRlwwfgCtlDMhxXG/QELgyqVepNu4lJzYvqJQ8MNCRODz08HXdqxjy/Tkq+NMjZ0YergORn9vFlcGDBg6VJVsac8Kk5cvq8CqgkTh4lqD89O6SWmwRznmumjlYExqrAUE0GfVAlaeTXuSyMo5oiMbuoCNWpOiC0y2qnPVq9leg/9GoGTMEhsA+loeOQ//BYA1f07sCyz0BQCYI+WoIsrj2F99/V45BtqcBbnkF7eN1DSHVf7fp6LsNgYbLLRSJKEl73sZbzmNa/hpS99KQCXXHIJn//85wF46KGH+PSnPw2YCryozgFOnDjB1q1bV+wvDEP6/T7z8/MsLS2Vyb/dbnPq1KkNv6/zO5HD+gTU9b6ctZL38N+r97lewxPzfCEkO974FmR1ebLOsgSW46D6GenOhOp4n4qMCZXDnmCeG6oHuTvcQSfzcawUpQWxligER6NJ9niz1EXIc6fvYzZucFnlpBGiEhEdlbB/ZIZAxLRTnxPNUbaPNs3EZ2ojfM0gchjMVOmOxlSrYdng0xp8J6Uz8Ohrgytvq7eYj2rsrc4xF9WYqnUZpA5uXpWrfAx9Ka7QTV0aTsTBpUn2jc1ji4xKTidMtUBoQS/16KYeE24PYWW0E79sjnZSj4YTkg2d1KmS5RSs0gI3/zkV9OgmZlipWOgCJy1x8OIqQQq1YlhmYqrNZKXHXO5/2gyDfCFQzA2qBI6BUHyZEmYOtlAIpekmHnbOKEmznGufP8/Lk7srM5JcHjdKbCIMHBInxjy7G7r4bsqSqpSDRVobC75N9Q62pcxrSsVUo1tW7gJdvlbgJKQ5Q2jUG1BzYpo5p72buvgyNcJjcZ2luMKFI/M80JwmzQeekkQQXH4B8ZHTOTulOCaXK/GNVNmPKZClrbMWhVJOYdVmhUtXcU6lmcjdllYm83MW36f3oLXmJ37iJ9i/fz9vfetby/tnZ2eZnp5GKcU73vEO3vSmNwHw4he/mFe/+tW89a1v5dSpUxw8eLD05CziAx/4AL/3e7/HqVOnOHDgQJnIG40GP/uzP7vh93b+J/L1voTHg5GvUX2Xm24Ac/d37lpR/WutSRcWIO1iOZPU/YiT0Sg3VA+y25mnISIu8U5xW+9CKiIi0g6hcki0zUJSZcSuobRg0m6ztbqERNHMqozLLo6VEoiYC/0Z/uTw0/iB7YfopD5PnXiE7zR3mgaZ73DskToq8egLRRrZiBFNr+tRrUXU/IjRYEAn8o0HaerRzXxO9Rs03IilUNBJPASaiaBvKI75dOZ8WGHv2IIZrc+t2zqpnycfh4eWpnjShJlk7aUmOZ4OR5j0umz2DQZeETEnwjE80aZhmwZepB3sXDlR5PREYWl6iYsjMupeRJgn8UqeAAtJgk7iojW0+gFSKma69XJqsurGVJ2YQS56tRQFVJ14hVJg0fCrORHt2F9RURfm0mk+Di/y7liaCUNxz0x6zFKJ7yXYQpW653FqY1ng5dOl7cgnSswCNF3vlMePLRRLUUCcSWpOzCBx6CcuFSemnzpM+saguyoNLDMTNtgeLNGyAjqJT6sf5FZ0GUsf/SLp7BL73vfGNbVS1kriw9h4edhvePDn0fddhLA0mWUmdnVmESYS30/OWgT+zUPzfdNa+frXv86f//mfc/nll3PVVVcB8Fu/9VscPHiQ97///QC89KUv5XWvex0Al112Ga94xSu49NJLsW2b97///WcxVt7ylrfwlre8hT/4gz/g53/+57/n93b+J/JhquCamfhRtmHlleNZyXv1NkM/15ogLZ9qWVT27COZbRHs1yy0q7RGAw5Gm7nAncUnRaC50J+hmVXwrYSKiJlJfa6uHc2hFdMwq4oI30qoixDfSmjYIVP1u3kw3sKLt9/FqdBAHF+auYh+4rKp2mGQuMblx8tQqaBSD5mo9ugPXCZr3VJEqdkLCJyYnbUmmbbYW5+nk/qEzvLXXoz9N9yIfmpG1sf9QZ7oFI6laMc+rdjHERnT1S4PNae4ZvK42c4ZsBhVqTsGSummLm3ts7cyx5m4UYpnKS0Yd/rMx9W8EalKTXOTrD1G3JBuYhFmdmmvFytJ3QvpJy7TfqeEYlQ+CNPwjJ3cAIdWbGCLouItZHd9mRLnxtHF/f1cV6WdeCUjBAxGbvRsTO9BCMNLT4ew3oK6aKiADlUvpp+4hLH5XBsVA18JS5eKkYIcE9cWI15INzH9jn7ishhWqLkRsWMz4pqF70w4QjvxWBpU6HU9hK2Y/ciXWPybr3Hh77+JyuZqWb0V1fh6iVagyVi+SlrxmKVLXffycF+DjjjcXxhmAJWP57MAGQb+kdLY8hVqlWvRHv/N4vu0iNx0003rcrvf8pa3rHn/r/3ar/Frv/Zrj7nvf0kShydCIof14ZXH2qaIoaReVOgFe2U9/MzSZ1cRw/CMN72ZdMZocQipOLg0xdNGH8K3EhIt6OQKhQCj0lRcCotx2SXRklFpKHI95ZEhCLVJLDJPbjucBXrK41h/jAtq81xcm2EpqfCdhR0obTE+1aHZqrBz0yIjXshMr04liJlp16l6Ma6d4bkJ100exbFMAvFEykzYYNLrESubk72GucR3wxxGidlaaXHrid08dcdhImWTWpqGG3KyM8LSUpVtm5bYWW+W/pwqr3g7iU8H2BY0UdpiIakuW77ZEUpDooWRY1WGhWELxVTQoxn51B0zfdrIjROEpctJTNfOysZlP3VIE5Hz6hVh3hBNMoOhR5lNL/YI8sakL1PaiWeYIPlnWzRjwXDTbcvIDZRiWkIhHZV7iy5T+NJM0Ek9As9g1lFs5wwhM5CUZpLxWh9HZET5+4qFJMpso56oBL6TGt0XJyZVonwvhf6LbWVs8tvMhA3C1EA6k+NdmnceY+FvvsaONz6b0QvHUDw+3LnAw9fKQwUEsp4ZxOokLte4EgCDjQtlJmWHTZ7NQnPu4lz3Wv8t4rxmrXzf5ghWsVjW5JOXL3r232cdCBaMXHkd3a/dQbVmeMoLrSr/3NyHtBQd5SMtjW/FbHOWkJZGWpoL3FlGRZ+JPLGH2sG1UhIkzcz4dSbajJM7VsaoNMM5t8zsAeCCYI4dtSZ1L6ThhWydapYKf6dPjJFmokzi05UuWltURMy43Ssr401+u9T0KBpUYWYjMKyVKbfLc3c/gG1lxMowYwyv3ZyUrb7hrStt0YpzDrtQpWEzQDfzUFqQaMG426OT+nQzl15qmDW+TPDz9zDM3ujn2H0RhQtOnFMpC030aj6lWbz2qBeWjJIJv0/gGGGrgqLpy5T5sMrsoG5glByy0Tk3vZ7r0aRKECeSKJWGIZRK+gOPNBOkiSQKXaLQoTvwGIRGVbLVCeiHLlpb1IKITuiZ6jx1kML4bKaZJMtfN1WChhPhy5SaY5yAtlbaTHo9lLa4Y347S3Gl1HlZ/MbDfOv57+TQ2z7K7re+gE0//JSzDu9Hq8Y3Eo82+bm6YVlM6A7HMIvFlpnRenfS0kpwPX75v1lskLXyRI7zOpGviEdLvus9fy3a4aptV9AT13i8OPaGhwa0AGdqEh0nLH3nGIOOh1YWzx2/h7qIuTvcQV0M8EVCpi3amc9cWudMOkpH+2RYhNpg5s2syqlkjPm0wZl0lFDb9JThcSdaUpMRb977JbqZzz8tXMyLJu9kb32BLdU2mypdtlVbXFifY2xzh8BLmK52me8YrfTn7nyQPd4sGcb3M1I2O/wlFuIq3zqyE4C5Xg1bGDphzY5RGK/NVJshlXbOSrl4bJar9xznosk56o4Z4x9zzVVFwzFQQSATeqlXJvUptwuYROOJ5aZiYUZRsWPDl84r5Uau5uhKU71WbNMYLORm+6lRAiykeXuJSz9xS03uUdfALKNeSDVPkkWDU+TcczCJK8mnT12ZMtOrG+VES5FmkjhniKQ5+yRNJFkkjVphIkhjSZZIlLLwvCSHecyiWHELqznDtumGxmlIoKnli82J7ohZULSglksPeDJlPqoyEfTwc15+NV7iobeZ4ZJ9//lFTD3nijJhC3R5e7QkPpyI10rYqxuaw1z0IlZDMhvhhq9O3OcskW80iZ/jRK615i/+4i94+9vfDsCxY8fWHR5aK544iRxW0gcf73ar+OZnTYCuFXrVz+Fdui7uxDTzH/qSEVHKLD4+e4BQ21zqn0SicXVMXYQ0ZIhjZXQyn4W0xn3htnxYqE4zq3AqHqOT+UZpT7t5hV4l1jbHwnEybTET1pnt1+grlwP1I1zROMEzxx+gm3jc09zCjVsOc/X0CY41x4hmKsTKZtppcyIZp5VWuLu1lUsrp/BEQsMZ4HopZxYbOf3OppUE9DOHfuaUPqWuTEt3GoWFK1J8aRanVBs2SiETsKXSJpDGACHTFgPlkGhZVuHF8NDKilvk1DszZVlooMSZLPebajMyX1w5JJk0C4OdMuKaK5MC746VLLHwSj4q301cuvlkaJjaJXc8sBOzGMReCRXInIddcKKTyCZLBFls3ovOjSTAYMIqFUShef9ubpeWaYHvJESpTZxKfCfBEarUblmKAuJU0k8dBKah20l8ZgZ1Tnca2EJxZtBgPqwSOYYpVb1oM/Wn7Fv70H7cPPCVfxdJeTUDZiNxvti5PVZYamO3cxk/8zM/wy233MJf//VfA2Zy9PGwVs77RH4WvLLRanwD2xfJfPVzrOEVWg/9vWr11gIqN15pPCIzk4BCZeNbCac7Hs/Ze5CP/FmfWJtL6/m0znzawLGyMoEvZtUSF3eslFA5LKQ1w3ZRDnU75N7BdkadAddOHeUDh34AaSmm7A7HogkuqM1z6cgMvdTju7PbsSzNyI4WY26fDIuFpI4vEi5pzJT/X5GoLUvTCY12ecWOiJWNRBvNa22t8IQsIlXSTCCiUVow7XUIZIwrUpqJgQQadkggkpJ62MsnPat2lGPjBo8HSqwbjBtOQTO0haIV+SapZ5JUCdqRT92NDBUw9mjFPs3QDMQMEod2bP6XWEkW8/fejT0yLeglLq3Yz7XLbbqxsWtz7TTXUskNHSqhaW7GMldgxDgb9W3zM9eGEVIRVCMqlQjfTQy/Xhla4yB2ciqjxLLMAFA78o1GvMjYPbKEQJvGcOyVFe+2egtbKDqxR6wkc985iay4XPruH8OylvFty1q+rRVaL99g7UbjWpX3cDIffp3l/a7cz3A1vxYl8dH29W8ZxdX0Y93OZdx22228//3vx/fNFfDY2BhxHD/GVstx3ifyNePRIJN1eOErsPFVmDmrHj+LsbLOF9645noGd9xOc77K5s1NjiyN85cLN5BoSeiZaupDv3GMj/7PRTrKR1iKUBsj5plkhFPRCK20grAUc3GdvvJyWMUm1A673Dm+ePwieqnHhGtG9w9MH+e73V3E2uZkOMq022HU6fNwa5IdjSb7Jua5YGyRQV5Z21aGY2WcCRtISyHRRtFw4CCEpt/1OL44RjOucLrfyBuSGd3Ex7fT0iquCLug9OUfYC/zWIqrdBLfjPcDi3GVgXLK34EV04aLUYV+6mKLzDQzRWZ+z5keYFx/erFbDgP1c2bJXL9GL/ZK9/he5HKm3WCmXWehV2WxX+F0t0EzDGgOjOCU0TAXpJmkF7vlwE6RmIoBpKIyd5y0lNDNIpO8S+aU0AhHIXOvUJFrmGdKMFIx+uJV1wwOTVUNtOTLlK21Ng03wrcNvNSMAg7PT1BzYuYG5jOqOTELgwpVJ8axUu75z3/Dph+6AuF569L3Cn9P8/9sjOb3aDBKkcwLwa3h/S9vv/aLLO935X3nKoGX8QSAVhzHIcuycvJzbm7ucZkwn9+JfL0G5fDjj4Kdr7XN6mReDretrs6tNVbpoaQOMLb/AFm7T3zsJGfOjOK7hv98S28fd94rcSbr7P/jN/CPfz7DH/3sfbznhf/M7d9V9JVLoiW7ggUkJnlcEMyxmFU5EY/Tyip0soBmVuXNF3+ZLx3fR6gcGk5EzY6pyIRES55UP0moHLqZR5Jrikx5ZjBli98uJ0hD5bAjWCLTggyLXcECKpJYQlOpRQRezJ1Ht+FKo5MiLI0vk1LvY3UIDMZsjBsyxgqJAS1op75p2ipJOzXVRTHtOchcbEtRs41xQjefIi0MIIoqvfDJlMLgqmGuCw5g5/h5GNv0Q5cosQkHuaCUEoSJWUCS3PWnYJwUMr2dgZ8nF/Ml2pYqPTKFpak4Ma6T4fsJ0jH+ogQZVDLkaGys6qRJ5GHslBoxxXRjnJrPxc+58ADNyGduUGVuYKiXzcjHsjT7puZYDCvGB9TSLEYBUWaz2K9w8og5Lra/8ro1lQvXSrBFKKwVtxXf3WMkZWud5L061pogNcyXR93s3z6eIBj5m9/8Zn7kR36E2dlZfu3Xfo2bbrqJX/3VX93w9k8M+mEeeq3kus7zylgrmQ89VExr61XPLxN8EWrl4wCWEEivge51KMa5PZFSETGf/qeIkev2Ud01xbZ3voHe525ldFPGZ976Fa75p2cgLMVCUmfaaeOJBIlCWIrZ1CdSNe7qbuOK2klCbfOiPfcwYvcRuTNPN/O4u7udS6qnjfBS6nHd9FESLXAsxfbKEjUZ0lcG0tjktPj6wgXs3LSARNPKPG689GFO9kYQaM60GuzavEDDCUm1oJLrqPiQszxkfnKvBBJdkeJYGacGo1TsmFYSGIgms7FtY0HWS12EklRlTCf1GHEGeLmYVj91SZVg3OsR5kYUg8QpG4WFOJUUakheVpKkctluTShSTIIvNEUGca7p7MT0Y6cUrCqSbgHFuNJcXaSZWQCEUKV93HA1KipxWXXr3FUnimzDMVcCD+PjWlT6Ak0zDKi6Rm+84KYDLIYVQ63M6YntgU8vdhkL+rlyooNvp/QPzwKQuZWzII3Spq04noceX4+vfTYswhBUs7GKe/X2w+/HqEiuvA+WG6X/Uk307zU20go716GUYs+ePbzrXe/ii1/8Ilpr/u7v/o79+89Ws1wvzv9EvgrmeCxK4uM5XlZPfg6vymWV/hirdXDlZSx97EtsufwimidGuPqiI9w72M6R4y3skbxqnRhh7DXPRSUZS7c+zPv//Td5xut2cdEzBa00YNLJOJ2MMm73OBWNsNVrscnrkGjJP81dxLjXZ1tgDBEiZVORCcd7Y2z3lwDKCUy0wJMpAkWSwyESQ4fcUW2SIYzkbFJhs99mV2WR+bjGTLvOuD8g1YJ91Vn6mUtNxnRxUWp5+KNkmuRJPVY2CMqqXViKbuKXyaST+ChtUbVjBplTmkPblvk55XdZiAwtsJMsY8VxYg7LQeygsJCWGdAxVXehF2KZylgogpEecWIEzNK8ISmFohe5xkEotRGWlWt4Qz92cOysFMpq9QMsSxN4CkcokhwvF0LhOhpbKqLExrIyLLuY6pQGabE0Wc6l93NIpVg0wsTBdxIG+WJSCIVlSjA/qNLp+QihqflRKXpmFhmbpX/4FiJwsBy7/FxWqBuuSpQrjuuh+x6dWbI2FPO4TJcfI85VAl8R58FbeLQQQvALv/AL3HLLLVxyySXf2z6+z+/pXzc2sLw+VjW+ej9FRX4WBXE1nr76/vy1pq58BvEjJ9CJwVy+3d1DMwkYv2ob3ftPlidEpiyUcNj6np9DP+Mm/uznbyc9NsOIPeBIOEFFxPSVy5Tb5chgggc7mzgSTjDuGYqf0R4xGPJCXKEV+/Qzl4e6m0i0SdCOZZJQpMyYeC81Y/eRctjitcom50A5pEpSlyFX1Y5x9dYT3HtmM+NOn1A5TDpdhKWQOWPFLqYT85NyuDKPlc2k28v9PM2ASzdxaSd+TjW0GWQOZwZ12onPIHNoJQGZtliKjWZJL3GJU9vwrXOOd6Yt0zyOHcLE4OWd0KMfu2UCznJND6CUwi0iTSX9gUs3NDzwXuga3DevutPMaHtnSlALIlw7I04kYWqMJOpuhCszfMcMIsl8OykMNj5WHTBW69MIQipujJt7b7ZDn3bo59xyiFPjtRkmNgvdKmHq5FcbBqLxPWNG0YvcUvhKa4veqTZjT7t0WR9dr60u+FiJci1VwuFthvHyjcjTrhVrLSZr3Xeu4onAWnnuc5/Lxz72scflCjQc539FvlZ8v46RvOJeFxdf5zMdPkbTsI/luuiuJtg24K6lrbxgyz2c3qw4GS/bhRUnhutb1PdMALB9p+SkctjhL+JbCYtpDcfKuKAyz3eXdgDQjn16iUvVjjnVH6FWj5lw+3ijZ0pXnl7q8cDiNM/cehCFaVZKSzHq9PMKPibRkr5yyXLGSSBjPJFQlyHNKODAtuMkWlARxg1ozOmjtKBuh7nWiqmk7TzBF9zwbuaSYaRwbZGhUsdMb+aiUq7MaMc+g1w0Ks1x62ZmWCZgXOoLre8osZFCE8amQWlhqusk1yjPUmEwbqFx7IwklWV1rJRlHHmK5CQUSSIRucFznEjjxakgzSRKGVMLz06peRFxamPLZYf56WqXuX6NwImpulFJVVTaMtzvHPpR2mD87cg3Q0SJS+DHBG5Csx/Q6ptegZVDKoXjUJKYq6bQccqrjX7o4tgZ4ekmWZT+qyXEAg4x7ys/rjVnJfP1mCqr9zH8+3kX53lFDvDe976XXq+Hbdv4vo/WGsuyVtjGPVo8sSryf41YVW2vx25Z72pAVmv4+y6g/fmvIITi5OIoD/S20NMBOjEnopS5VnRecYUnFrnmOWM0/ITt7iKttEJFxFRkRIagIo212+nBCK7MmAj6xmnHM4k50xZbvVbO/FB4MmU0GKAQnA4b+SCSaXRWciaJLxIm7Q4VGVG1o/L+Tubz7KkHGHEGBDIpcfWKiPNkn+LmN6MBrrCtrKzKpaVJlSyHgIqJRd9ODQsFM5TTHvh0Yo9mrocSZjZLgwr9XKwqTiWZtghjMzmZJDZaWcb0ODXDNyqvxIufWpumpsoEUiosoRFSlfQirQQqE2SZ0XpPEps4sVG5NK2UBkop7NlG/IEZFsq9M/tDOL0vU7bU2iXDpZCnLcS9oswmy2GoWiViLBiYsfxMIPJFx5aKfuhScWPGqkafPMtE6UBkS4Wba5M0rtyFt31yTejj+2mdNtzYXIvWuJ7++PD2jxXndLJzg9TDc40AdTodlFLEcUy73abT6Ww4icMTJJF/P47bYWrho+5vvYS+znuxLAt/ZDNYEt9NqQQxO/1FvFPH8bZPUs0vu+UQtc7bu4UHv9ulG0o2O02eXDkCwFanyRWV49RFyGa/zb7aLHtr8xxpjTETNmjHPlU7YtLp0s4CKnbM/bPTZNpiOugSZTZ1O2QpqRiqYT7qD2ZQpaN8JJoRe0A380m05FA4TV0arXAwmHo/8yg8OiWKhh1Sd4z5smMVetyiXFQKA4p+6uLLhLoTMuH2SlqhLxP2Tczj5a4+hYZKxTV4ccEVT1Ij1ZrGJjmnsWlqpmnOPsk1PKSd5c72htRoWUat0HcTKkGMtPMx8uLszBtxRfJWedPTERm+neDKLDd1kHgyxbcTBolLoszrT/r9kutuC8WYZ4Stiu+z+H4DJ6XmR0xVu9TdiIV+lel6FycX4GoEIbZUDBKHZj9A2gZLb/YMF7498OkPjDTAtre8mMHDp8mibM2m5L+0+l29/Yrm7hAFce3kvjKBL0NuK/dx3sQTgLWylonE4zGWOK8T+Wpu97pc7w3sZ/U2w/s7i2cOZyX0dSt1IIm76Dihn7u4f2XuQlSY4PrWWSef0hb+tgnGdtR48NYmYBQQdzgLOFbK4WiKjvIZdfpMOl3++cwFXDo+w5agxSMLEzSTgJPRKA054LYTu7hysxGfty1FklMAhaXpZy6dzFS/As1AuRwPx+krl5oMCURMNzXNyMW0xo5giVQZe7eKNAJWBSYPUJFJWaGneSM1ycftCwqhsDSpFmTaeI42Yz/3CzVKhw0nopdPWnZib0XSUEowCF2SvNGpUpO0s9TAKWkOkRRXNWkmSBJpxuczgeekBE6KZWlDAxVnY77SNhh3xY2xLGj4IYGT0I58bKHoxR5RZhNnNtvqLRyRMRn0iJWk4YSlmmHFThj3B9hClX+PeQMmgh4NL6ThRKUWfJTZuadnXKov9nL9lqJKzVJBf+Ay6LnlccLIGN6eLbS+cf9ZiXP4ePqXxnr7KI09VuHpxXt5PNX1uTZfPp8r8jAMWVxcLI0lFhcXWVxc5MiRI4/LWOK8TuTrNRrXSu6Pdluxv9U/14BWFr76Bdp3377yOav3MRT1PfsJH3yALDTu9b5Meerz6iz+80MsHemS5dQ1WMYht167hYfv6HBfuI0MwdFkkqqI2OPNcbF3mhG7z+l4hKlKl0mvSy/1uHbbMQC2eU3ubm9j18SiYVDksMZM2ODepc1EyibK78vyRqhnJbRTnzPRCE6OoXsipWGHLKZVxu0e8/nwTqJlXnE75X48K8ETKYtJBU+kpb1bgY0WOLEvE/qpRysJmOvVSuMKV6TYueAVGLnYOFf3A9MM1trg3DqvvHVmfreGErglNJ5rpjFdN8V1U2zHNCX7+URlmkMttm3MDRw3xXEyAi/BlobR4w9BJn6u6VI4/ox6A8LULu3iKnaMhcodk2Q5ferLJLegi0tFw2m/Sz81bJsws6m5EUuDCpNBj07s0QhC85nENmlsk6XS/J9Z7k2aGRnYNJWMv+RG5j5+C0rlFS/LTJWiiVkcV7Cyan6s2EiTdPi5K6v186ja3kicxxX5Bz7wAQ4cOMADDzzA1VdfzYEDBzhw4AAveclL/i8a0V8D2lgzua+DX5+1zVr7XCOpL3zhHzjz0T9ffx+ronbpFThbt3Dmt/+CNMrw7ZQTjQu59DVP4pG3/x/CVmIw3pz+linB9GjKiXmPiog5k4ySacHBaLPBibVLRcRMu20uqM0jLc0mr02qBWcGDe7pbOVQc4JLR87wwOI0i1GFU/0Gbl5BFmwVMEm5LkNqdkjDNibL32ztYae7wCanRTv12eS0SbSkasd8p7mTM9EIncywYgaZSzs1MIywNNNeBy933+mnLt3EKzngqRbMDuosRgHdxGPv6EL5vHbiEysbPx+JL3DmYpoyy515ipW3pNoJbXoMcvn5RlkvK6vuwDP6L0Jo+rHxtUwSSRLbyNx2LAwdBpFTXjUVLJw4M0ndt1OmKmYS05UZWyptGrm87+HWBJ//j1/ktv/x9VLE61v/z5f51Cv/hvaRJf72Rz/OF575e9z9J7cxF1ZonQlZ6Ffp5c3cqhvnqoc9stOziALuiiRaLR9blqWp1UJznFhQufJCdJTQv+/4WclzuJIe/t2IaC3TFNf6fXUM0xsfK0l/r0l8PU/Pf/XQ5zdr5S1veQuHDx/mPe95D4cPHy5vd955Jz/3cz+34f2c14lcr07A3+ttONaCR1YtFOOvfjnTL375Y+Pp+fMtIdjygz+Gcuvc+0sf4egjGQfbU7z5P3pUL97KqQ99kd6JJt0HTpv/S0N42RU89JUz9DKH08korazC6XiUr7QuKRuOI3LAIHMZs3vc397MtNchziTXjz5CP3Q5EzaoujGnOw2OL47RTx2Ot0c51W8wG9U5PhgDoK9clhJTbQcywRUpX2lejGNl7PYX6GQ+s3GdQeZwtDVGL/N4qLuJxcSM2reSgJPhKKfDEZS2SJQo4RWgxLjjzIhBFcJUdm7gUAhlNSOfZmR45kUlmWYSR2R4jqmaLWGalpbUSDdP4EJjAbadUfHjFQkhy6VnBbp07rHyRqdWRrkwDm1UIkgi29APc653kcwLmQBhaXY1lhh1+ww6Ca37T3P0mEXywCFmbj3G6U/dyeKtD/M3N3+I4//wAN1jS3ztzZ8kmjduQPf/2R187hl/wNdf+T/ZHDSpuhH9xNAmj9zT5+sv/yB3/qf/zbH/9Iekt38X6adIR5WQhe0ZFk5h0iBtmHz5D3Dq//sCWq0NrQwn8bU8Mh+PsNVjJdq1hpDOC3Plx4rzuCIv4vWvfz3veMc7SsPngwcP8qlPfWrD25/39MMVuPSjfNiW5tGr8hVPXuc18v1MXHYDSgIpJT1xzWN1aDthCba+6MeZveUfePB3/pF9/8+r+OLSfn76Hcd498tvZ+mDH2fpjpNc/MGfw908xqnRS/Drn+O+L89xxbOmOBaNU5MReyuzpatQog2lb7u7yPXjMJ8Yydm/PXkVuyYWOdScZPbQBGIswq/EtGLfmC8kLvNWlZoT83Bvis1+uzzhTw5G2Vudo5+5zKd1Hupv4sbGwyyllfz/0Nw+t41WJ+DK7Qaja8fG0q1mL+uAT/kdZsIG3cRMZwJ08gpUYVgpxL4xTkiNK8+oF9KOPTNKn9okaUE3NOVQMR0obZO8PSdFSkWWs1R8JyFRMqdzms/dDOBootTOcWfK56tMYBWQjNT4QVzyzktIaBDxyF99B3/PJi5+7jbUQovP/dZtzN8zgz1WJTrTxhmvlN/zHb/6SQB2vOZ6Nt98CcGOcSzLjMLH3ZjW1x/ggXd/njve/llu+i/XQ63CbV9t8shvfZzNz7+ci//TzczffpqDv/1ppsOQiec+mTiRqFxCoOZH9CKXKHLQymLkGVfS/Px3mPv0d9n8oqsf89BePdm51tTmathkOIrEv9GhovM9LM49I2Uj8frXv54DBw7wjW98AzDGzS9/+ct54QtfuKHtz+9EPoSFP1aiLr6rtb60Yvvhn+vuxxraT/G8R0nmw8+3hGD6hudz7H/9HjOfvY+9r9rCjLuZX3/XCL/9swbfPvqev2Xfe16PlLDthy7lwc8e5EXPM8qHdRkykxgMuy5DFtMah7sT9FKPU/0Gz5l+gL87cSX1xoCJas/wk6sG6+3NVwn7Lq6fUg9CWspg1PsnZjg1GKWdeIx7fUacgVHeyzxqMqJuh7k5hamwx4I+c90aI/UBh5YmSg2R8YoZTKrko/edxC81tuPMGDgIoUgyw/QorlRLw2NlhoMKumGRMLJUoIVVYuB2TtOrerEZomLZkcawSExisYUyyY9luKpgpgih0XnCxtI4jrkicB0jaJUpgSMyXJlx8P/9JrP3L9H6s+9yx2+YTYRnc8mvPJ94scvJT93Nrjc8g8VvHmbkwF5Gr9xGpSbOToho/JqD/4OXM3bTxdzykj/gr790GH/MJ1wKufhtP8LkjRdiWRmTT96G/a5Xcd8vfwQnC5l+0QGkgEHilAuNUV7U2LZm+5tfyKH//KeMXbMHb8vYo2LhIlevLH4fjrXG94urkuGBr43oja9+fD3JgPMingCJ/NChQ/zv//2/SxnbIAge13DQeQ+tPFZjs4xHeV5xP2AmOdeDbIb2s+Zz13h/w01SAEtKNj3v5cz8xZdYbFksxFUqV+wm8uuMbPIIHzppttWawYMnue2zS5w5mbDPO0NFRGxyWozLLr5lHHReveU2fmj8LmqOGeq5cNssjcAwKOKBQ3VsgGq7OEsSZn3ChYAotQmcmLGgz8nuCLcd3IPSFv3ULWVqC1qiJ8xCMBvVeaQ1YSZIhWZpqUqv7xHkvOZwyJm+cLj35bIwlC/TFTZgwjKvM0gcFvsVZns1FvsVupFLL3aRlioTUprj2YDROnESbJlR8yIyZdztpWUsxGTe+Fye0szKn46d4bu5O42d4bgp9VrIWK1PNTDKg8bo2Rhj2JYiTi16D8+UqnMAKkpRwMN/+GW2v+p6pq7fzcVvfibTN+7Crdq5zK9Y1kpnpTiVV3PY/aZnUd07RbgUMn7TPiZvvBAwzWeFRXX7GE9696uY+9zdPPhfPsLg5FLZA6h6MVliZHTD2MHdNs2mV/4AD7/j42T9aB1u+bJYVmE4sTrWvG+IOjgc/1pY+bkIS+sN3c5luK7LYDAoj8NDhw7hed6Gtz+vE/lGsO8VCXstXHw9LPyx/s5xs9XJesXCsNbrWODt2Il/yUU88qFvEGeS73R2E1x+Ia2ZiPFX3mx0OA6e5NR3Z1Gp5vTRhFjbVEVEXQw4nYxRlwNGZJ/Ndouj8STXjB6llQZc0pjlBVvv4QemDnH1nuP0ZqpoR2GlFlpqRFcSRg6HD25htlNnxAupNAYsDSrGmEGb0fRe5nEiHKOZBHhWgrAUNTfixImJstm2e2qhHE2ve2FOtYsYdQaI3GwiVcblpqi8o8w2FEQlSrf4TOeQR65qqJRFqxfQ6frovJImx1qFMPuNEptu5JX8bq3Bd5YnHaVQeLapqlv/+B3ig8dKlx/fSan4MdXAjNlHnZj01Dwj/sBor2TLcM6B/3gDN3341Tz/cz/JhT/9dADsRsDo9ReZ7zkIzqLoFUqLBWukUFYsEqnWFttedoAr//h1XP+5X+GS//Yja05IelvHufh3X8fYtXu46y1/wcLXHiTNzGRqY6RfHl6ZsrjwFU9icHiW23/0vWSpWjOZr07ga3HAh5uh6zFXvt9J+pwPBJ3Hzc4i3va2t/G85z2P48eP85rXvIabb76Zd73rXRve/jyHVh7rix8un1fBH4+VtNkY9r3WZZkeXv4s0Jli8Z/+kZFrrsMeGQVg+uYf5vgfv4v6M66iftEmfuk9E7xzbh86NBxjTp6iORvjjXp89P0zHLh+B66tqIuQ/f5JJArHSlnMaiRaspRW+c7Cdnqxx4/uXGREDrh65Bjf8Xcil1yUq5F9gbYNPS+yFZ2lCkelIoocxmt9Gk6EYymaSYWFqIqwNFc2TnA6GePC6pxhvVzS40y/zmhlQD9x6UbGc3I66LLNb+JYmeGiExPlvGhj3WYb/Dqn8UmpaIYBbq5KmCpBlAtb+W5isOsMtAJLUMIfaSaRwnig1utm8MaywHUSs2+V0LvvONWLtiIqNuFij6O//xkAxp9+KVl3QH3/FqZ+8Eq86QZZP+Ku//DHZP2II5dt46p3/TCJtsDP9WgGLomE5r2L6NS8h6v+5+vJUostr30mY9deiNbZWQfKWk7y5WNYK9QiV0MawwuD7VhM/vCN1K68gHt/8a8Yu/bN+BUBSBw7I4pt4timmyybeT/yWx9n33/70ZWHrLW62bnmWwNy+KUoSNaAQf6lzj+rYadz7iT0BLh4eM5znsPVV1/Nrbfeitaa973vfUxOTm54+/M6kT9ao9Ng2Hr5iflz1oLnho+h1Y3NFZj4WmFRegqs2XDVMLjvfha/9DncqWlqVz4ZLBD1Ku7uC5i9dwl/71amnC5XvHwvt/+/d5G0bsR+6vVcmGSIqQmWPvxpvn1LzHU3ebiWgTJibaMQ9JTNN5d2s63S5NmbHuQi/zQfmbmOu09vwXNSpqfbzEZjWKFA1xRiIOicrmMBshbRvXcc50LDqjBQiBlLH3X7fPme/Tz3xntxrMxAOnaPOzo72NeY52Tf+EpurbaZG1SxLcWh3hR7q3NIS1OxByylFap2jNKCVAjinJ0y4oZ0Eo/ASYgSG89JGSQOIqcKam0glDSROesnh2PyYZ1MC6Rt/DM9J0VaqkwMd7z03ehUUb90K42r9zDzd98GYPMrbyTYMY6s+LTvPMJdb/oQdt0DS5D1zYCTUvDVF7wff/s4T/rgG5Geohc5dL57kgff8YnyK737zX/B6FMuYOuPP9NAFtrCyl9/hWTsKlxZkXOuVx0kJf+blckNTNJzZUblonGc0QpyaR6vPk4sJdLO6LQChFR0Bx77fv1HOPiOv6V168FyMGetgZ61kviwnkrxnhTfW4Jd6/85+/UeP2vmXys2+vLnOt+fPHmSLMtI05SvfvWrALz0pS/d0LbndSI/C7oYihXNzdVl+DrfyOpjfr2/VzdEh/O3tcb+szGjf+1t3YGlQQlIW03CBw6y/xduRArFnb0dPPkZKXf9tcfcX32JHT/7fKrPuxZbKkbja/jL3/kuFz35QoKKMWX2rbhUvnvO5H1URMzpZJQ7ertYDAN815gr3zK7G29iQNTyIbHI6ikyMFxtrSyyzTFpx8MeMcyVCafHUlrBsRSVsT4d5XPL0l5uGnuYuhzQTnxuP7SD11z1Te7rbMGXCddPHeFwb5IwtZmJGlTtiAgjr1odmgK1hSrVDOtOZFg0+Si8tnNIxDLaJEqZD9kS+cSlNDh3YaTsewkiT/CFoJYUitGrdrL07SN07juFFjaX/e6/p7Z7bAXbYvqmC9j9hqczmOuhw4jKpiqt24/SuHIHC985xSP/4+84+Zdfp3rhJh559ycRjvmcd735+cx9/i76D5xk5lO3E873uOC/vhxLPfYAzYoJ3hynXp3AhKYcJjKfmS41WyxL44xW6c+HjO0xkFGzF1Cph+VVzsTTL+TgO/LXiFOEt6xzvloPfCOxkWboY22/urH6ePfxbxLnOkNvIF7/+tdz1113cdlll5XOQJZl/V+SyGF9mGMoZ591jq2qnDfSRB9+zprPX6saz6O+/SL0y1/D8T/+XUZvuAlv9x5Of/iD+E+6CDE2ygUjc/RSj01BxBU/egH3/O1hY0qgBVJrsuuux/3WEd7+2od52/++hIF2aeoKiZZIFL4wDjv7/ZP86emncsXYKT6zdCnNJGCxWyGaD5BtSTaVIGxFFtpYQpfTkZPbmqW5walohCCvzF+2906ODiaZ8jqE2ubBzm4aTshPXfNV6iLkYzNX8eK9d/PFkxdRdWOizObw4jgXT80x5XUJclVF28qo2xEjzoCZsIFv9+kmLoFtGrZGY9vFKdgnOe2wcJSx8yRecRM8mZZNxCSVWJaiG7l4dkbSiWjdayiRF//qC5h+1v41tbq1trA9SX17o7xv8ulG53n8uguIf/zpdO45zsLn72TPf3w+8bEzRK2EzT90JVPPu5LvvOTd6CRj6iXXmuNBL1ffw7DB6uReNg7XOFA2wuSI5zu4kw0jdZAtY/DCMgYWrX7Asz/+43zhpf+L+/7jn/KkP/qJFc3KtfRThlkp5rMo3s/ZcMzw+95oQl7rfx2Oc12NDzt6nc9x6623ct99933P25/fiXyosXgW/XCoRC6T+WqoZfh5a+1+uPJe77h9NB55sX8NYtckKhzQP/QwzdsMF9S7YHN5ok15XbqZxyXTLe6OjVAT5HipsGj8/I9x9Gd/n7u+OWDHgRpTdodQO8yldSrE+MLwygvOtmNnfOuMkbrFVWQNsNq2oUGOpOjMwrI1smn42gJNmDmMuz0cK6OjfR7qbuLC6ix95XJXezvHu6N4MmVnsIhvmYahQvDkqZN86ctXsuuaE5w+M8lJ31i1JVpQkzHS0lSdAYtxlQmvR6YtKjImzAyccqJrBom6oZm6BMhSgZAK101pBCFaG3s0307pxJ7ZZ2VgKnHLjIaf/Oit6CRl71t/kMlnXsrwjMxGKW9u1Wb7j12P1jeUn7+whsX8LZ7052/BrrpIaQEqT3jLB4FlaeQaB0SZNPOKfBhWWM+sQWuLFDOWH8+2WPrCHTRecDHZaG0FdGNZ2sjc1qbZ9oprOfl/vknrrmOMXbljuXnJMv6eaatM1o8Fv6y2azP7WrvCfqzEPbzd97Iw/KvEEyCR33DDDdx3331ceuml39P25zVrZS36YBlrwCLLSVmvfJ61xu/FPlezT1bHo8A7w1Eb2cXkG/4dSX+JLW//eSrXXoWc2EzgGId5z0po2CFR0CCZ70CSDJ2kYAmLK37iKv7svz/Ct76ZcaYf8LXWRSRakmjJXf0dOFbKK7Z8myO9CcaqfVqnGww6Pgwkoi9xmwLlatyTLlYkAI21dUD7eAPXzqg7IdLS1GSEbWU8uDhFoiWpkrRjnzSXb/308ctItOSn9n7NmFjkyohz3ZrpCcQOd81s5cygwUA5CEsRKZtAxrkWus61yE11Xcn1vF0nI8tESTUUUpdmCgWLBDDmw9KYWdTciGra5MjvfpKFrz7AgT/9Sbb+0OXL36F+9NHv9QwZChbFcKIsvgun4edJvHiN9b/34dDaWjNpFo/Byip+xZh9/u8f+6vb+Npr/oyKazRpNEZ/xsIIiyWZ5NI3XQ/AQ7/yl2Sr2BaFKUeSSvqxS5xJUgUz/3AHh3//MyzdcnDV58Cj/j2cjIvfNwLhrE7i61Ei/7XDAiylN3Q7l/Ha176WG264gYsvvpgrrriCyy+/nCuuuGLD2z8hKvLi+19RGa+GWVY/Z3WH87ESclGer660hhqpZXW++vXzGL3gatQ19xJ/9za2/uLL8qnCJp5IeaQ/Sd2OeOq183x232Yefs+n2fOLL0I6hlqXacHslc/EfZbHR3/xNv5srs+PvmfAyAtrVETEU2sP8XC0mWPROHfevwsSCzkeYx0LkJGhT8UNjeyZ6s5dlMRAmgjsiYhu5LIQVanbxstTacGmWodPHb6MJ285SazMiL2rJIPI4eH+NKNOnzvntrGt3qJySRPPTpFjMWPVPgvdaq5qaOznanbMFrdFKw1I9LLxcqoktlD0E6NxksbSXMHYEHgxSonSqNjPvTy//Mo/Jdg5jqy4pK0Bg+MLjF63jyd/4LU4FdOPGIYL1kqeq/nRa00zqjUacWdPOq6uWM/e5vsxACMEbP2hyzj1D/ey43mXENiJMZgIHVw3RQgDt3RDk5yv+p0f5Y5f+BtO/sXX2PXam4CVVX/BSc8yQf/YLMf+wDB75j9zB7Lms/93X0uwffys/3kYa19dnZv9Pvr/sZZ93LlI4MPxRIBWXv/61/Pnf/7nXH755SVG/njivK7IyxiqmldAIesk57Ord73y57qvs/z4mo3Qx1gMLA32FQdoffoW4r//FOO1bnmS7AiWmItqLKQNLvylFxCeXKT9nUdWaE17tmLTS6/nij9/M/6Yh6pWiZRJXKeSMRZTo5dCLCAwXOJkMkHZICJwuhZWZiEjSKsaq54wMt1lvNEDzNj8bFSnLkMCGXOqNYIUmvmwyuKgwkSlRzv0uWhqjtODBrcvbee52x9gS9CmfaZOoiRX7zzOtmqLCyfmc10VUQ4VzSc1upmHY2VMOL1cUleZqc7UptPz0bHM1Q1hJAhpBKFpbuZJfPFYl2imRfNbh1n4yoO07jjGJf/1xVz81meXSRyWK+21Ku5Hq4zXC73OolAkrmFdk+IqYCNCUKuNkdUaC0rx+443Gv3pyZv2lvrrMp/09JzU6MMoQZJKnEv3MfXDT2Hxn+5D52V58X8rBXEz5P5//zs89FO/z8Gf/yAAV33iv3DBr7+MrBtyz09+gHiuXeL+xW1YvvaxNMmH71vv93Me+nHczmHs3LmTF7/4xezZs4ddu3aVt43GE6oiX7PheBalhBU0xGVCy2Mn87WbnJqSdJu/xjImv/L1tQX18UtxfvmtNP/nH6EXW1z2i8+iYYeMOT2eN3kP43aXhR1VDl+2i+5Dpxm7fp8ZK8ecOIVxr+0ILrrA4OgdFTCbNIiUzd/deyXUU5wgQR2tIPy84sy/SacDmQdaalQs6XZ9JjYt8Mgjm7l0coZpr8PJaJSluMI1W47x9WMXcLrdYM/YIq3IZ1u9xelug231FgePbCLKbCb8PqQWjsi489RWdk0usrc+z8A14/Y1GSEsM/Y/4fRoZwaKKXjU/cSlH7pkqakb3GqCyozbfdU1I/7C1sTtkG/95F+UH/VVf/TvqF+0+ayvZHXyfjRVv8drcPBoOnCUigAAKQRJREFUlmXD0gPDz1/ztdcZky/2U0QB7wg0bs1l3y+/gPs/eBuXPulSY6iRS/IOIrOIaciv4CwueNMzuef+kzS/fYSx6y7I9w2H3/E3tG59yLxAq8/4s69g68uvw7Zh5IZL2PqqGzj1kVsIj80RbKqd9f6Kyn6j9m3rJe3Vlf25wsnP9bDPRuKSSy7h1a9+NS960YtWTHRulLVyflfkZfLN/86T5wo8fPjxNf7W1srbWrHe/sr7cs/H4asBLYZuMr8J81zPm6DxhjcTn5xn8LdfZvEr9/Orl30Gq9/n3sF2nt54gOtfuY3ZT3yb7v0nzC7zfaeZIFGC6Wt38LWPnCbUNrNJg1YasM1b4mev/iekm+G6KdbOvpnoFKAcsPs5xLIpRUQW/miI7WZkWnD1/iP4MqGT+nQSn81+m0Am7Jlc4LKpMyZ511rM9mrsHZ1HWJpn73+AY6cmONYexZ4IWbxvknjgMOn3aCUBDTuv7KMRFnJ1xYWkSiBi7m5uIVI2vkxoeCE1P8J2M4Sflr6bBb3SlRnN+87wpRd9kCw0TJcr/ui1aybx8itaBZ2s9Rhs3HxheJtMW2WzEIYS0apKfL3KfwX2zdlV+3qTjgLNpudcQrBzkoff9lEefvVv0L/7EGkqS7VI303w3ZRMCaSAsRv20br9yNB+YdcvvYT65TsYe/plXP2RN7PvF3+IYOckUuQaNaHB30eevPMsrfFhzXFrnce+lzjnzc7zvCIfDAZ4nsfnP/95PvnJT/LJT37y/yL1w9UnyVpwx+qHVlfnq+5/zPN6GLpZAzZfl5oIYOnycTcYQb/qFdz7p3/NaTOzwtFuAzEq+Er7Eq66POTW6y/k0G9/gv2/+1rcMZMIixO/+qrncfev/H/MH+3zAz+9nx2XaLqZz0X+aX7hyf/Ihx+5gefueoDPOvtJHzQ0u7QCSU2Dp9BbE+Oe03Y5PrCJp2xEXVORcXmJvxRXmPR7CDSOzAzE0qrxEBY7G00ybXHlnhP8/+2deZwU5bnvv7X0Pt2zMDszLMo2DMiIoCCaRA8SJbm44ILLSYJ48BxjzBFDkuPH3LicRD1xwYWYAPd6ojcBk2g0cV/QHDQiQhhA9p1ZmX16mV6r6v5R3T3dPd0zjYwyQ+r7+dSne6qr3nqrevpXTz3v8z7PgfZC7LYQnhKJ0iI3O1tLmVrchFcxY5N04W0NOCm3daFqIu6IlQnOVryKWR9clUPIOSo2cxinKUiT14XdHNIrGYXNBOtaOPrnnfHLOeed5fq10JJD6Ppc9mhYXkxQxahrIFVcEwsE90d8u+jTUe9xot+9lmBpJwhx6sSg/kLuUq3cxAlEekw5TFh+KZ/d/SJEFLpf/wjRYsJRPRItOoipRnO0hxUJ5+hcmt9u7G1LUhAdEpN/cSOSqGISFSAcT5sgAv5Dx/WD9/gR8uzxfqfrZ+LEnkznMKTROOUDmdnw7LPPntT+w8Mih77+6cSFBKs7aiX3m3Ml7bHSfB5dp/vHtb7HFYha6xqaqCX70TWwWM7Eees9hBfdg+uCKbywsp3WUA5toRxKTN0suk4gdLybvf/xO1QlamGi6flCRjiY8PStdDlH8s7ju5EElTJTF6AXixAEPeFVMGAi4ogWZzDrFrnUZkLrsKApAmJOmMIRHlo6nBRZPNikMLkmP9s7y3HIevmxTQ2j8AbNeEMWcnL8OMyheIX7PLOfYDBatDgo0dLuxN1lZ2vTSLxhK8cDLiKqRI4pgElUe2PLRYWeiCWaITFAmc3NhNxWXOZAvIyaSVRwmIO4D3fR9IYu5DNf+Lck6y9xQDM1/zb0CqooaISjVmsmyzHdvjFiQpU6uNn7efL7TNEw6Y7VJ4QvjXWbGEFjdshU/eImAPy1e/HvOoSqCNHtSLKUZbsJxR9KsqJlSdGTiIkKJkmJTzoyRddP/sX1nPXLb2PKsxNs89Dw0hbUUKTPOST2Md2g8MBVhkh4qjlFhSVgSJd6GyyGtpBDXzFPtJhT16cR9tT1acW4Pys7+r5XzHuXmHinDWPUABUEBcQQFFx0HQ0fHmPb2n0Umd280zaZkikjAAgcbSPY2NGnC5LNTPHlM2jZ3UHz1uM0uS3sC5ThFAN8s+Iz1m46DzUiYmsWidg1VJuKFBR6+9RmwWINYzFFqCju5KCnkKO+fOp8+ZQ73AQVWa/sE5bIsYQY5ewEwCQquANWOoL6U4LZHCEclrDlB1AjEpJJxRzNjbLreAldIRslFg/eiJmusB1P2EpbMIdSazdhTYyGI6qIaDjkEHY5jMscxCaFaP9gFyOm6DklcqdVYh3hSPNlZCY2QCeJarx8G2R2qfQn5oCeXTGt9d/3fSYxzzRwmm7qfuo6OWpFS9F0B1JuDsEDxxAlPaFYoptH1QSkHBuKx5/URigiR9P6JriY6H1qkSUN5/hiALq313PkmfVs/OZj/G3ef+Fv6Pt/mA0DuV5OaQGKYeBaOVmGvpCnYyBRTliS/N/9WeVpfOSpN4C0/vYMNwNBA0EVEFQBVAHJ4aDopn9l50sHWHf7J5SYOwnm5PPQtrnkz5mId2ddktWnaHolHrlkBOOvrmbtAwd5avE29nTm0xZx8tWcPSy74C0un7KNW//5NaQxPoSQQNipYnYLiCH9uCZZoSdkpt3riKefVTUBd8iKTQrjDlmoqWwgrEh8vP8Mzis9hsscpK3DiShouMNW8h1+Il4TVksYR64fTYWegJktRyuZXl5PodUbLy8XVPU0rxFNpDmQS57JT5mlG0u0ZqdNDGOX9bqmEU1kxwNvsuFa/bGy+j+vzPiVD2TRnaxIJJadg0y+98x964+BUsoKKQIoChpmWWXaq/dw5srvEthzlEhTa+9kKlXUa5tqIKgRfAdb4n1PjVdPdBclHT/6ef4Fk5jxhzsY+/1LAdi6eE2fakTprPJ0T0epDIXolTT2l2GRnzJSr3a6byBpHRkFvY/1nOZ9qmDHXTVidMlkySe4VeIkdMtcUMSI235M9/EQDR834lUsHA6XUlSVj/9Yu96EQLwUWmyAS77yUsY8fiuqxUbdu4cxCQoHQ8XkST3U+/N58rX5FOT0oFo1zF0imgC2FgFEDU+3jfbGXHxNOTS05ekRIoKeqKk95CAvmpvbGzAze/whLGIEqxSmZky9PsgpqDQcKcTsCuGyBvC2OshxBlAiemKrkCJT78vDHdFrcsZyiZhFBVnUJ/UcD+o+fJOgYJEi5Egh7HIQi6RywVOXAyA5LUg2c78xx4Nh0aUT6FQXx+chNaY90SpPzVcO9FmX6je3yWFyLEEc+TLF357H0f9YQ/2Dv8N/pC3eT0EA355GXNXlunUv9I2tjz01+Nt8+PY2omkaWiBE/QubaP/bfkxmAXOulbJvnEXVf+oZFcOdPnqOtRNscSf1OVNB5mw4ZbHkMf9ONssA1NXVcdFFF1FVVUV1dTVPPPEEALW1tcyaNYuamhpmzJjBpk2b4vs8+OCDjBs3jokTJ/LWW2+lbXfPnj289957eL3epPVvvvlm1qc5pIU8Yzhg6meCliLUGUQ9td10vtB04pzpRpBOzGP/D4kNJTy+iYKEY+YcNr/ciCdipcmfi3lEDsf/tIn997+oFxGm7w9EU1Rat9Tz1/s+wiKGcUp+FE3EGzYjj/XSvrUYU7dIKE8lFlVjaxTRvCYkRxhN1lA69DJrsSIQIUXCLCq0+h1EFH1256u7plBo9hFSJApsPdR58jin+jDjSloJRWTOn7IfQdCoLOxkQkkLKnoZt9qWctqDDn0CkKDSFbJRZnWTIwVxyMH4oGhY1WPLY7M/7ZNGAqB4gvEfe7offbpBt6TrM4DLZCBSIzZOhJO5waSLaolhk8MIgkbBvLM544l/w1w+gsbH/kC4uwe7OUyu1Y+n3sOIr0zUzwEtyTKPLRFNpO7Fv1N7+2859uyHHH9/L4dX/w89h1qT+h8T7lB3gMMr32XLTb/qI+bp+LyRLF8Wg2WRy7LMo48+yu7du9m4cSMrV65k165d/PCHP+SnP/0ptbW13H///fzwhz8EYNeuXaxbt46dO3fy5ptvctttt6EoSlKbTz75JJdffjlPPfUUU6ZM4ZVXXol/dvfdd2d9jkNayCGNdZzg1ujj5kizTyZBz9QW0FeoU617Mc32pHkf60/KAKyptARfowdP2MoYRztuj/41OCaVA8TTi8YsLEUVafh/H1I5s5g7fnsOAMfDuRwLjSAUnVYfKg4TydEtciGiR7AoFrA2SVh22RBUMBUG8IXMej1N9LA/UVBxmoJUFnRSndvEwqm1+FUTsqhS15FPICJTWzeSvQ0lHG9zcaCzkK4WJ0eOFfPZvkq6glYOthWSYwnR0pOjzxBVJYqsXmRBoTXkJFf2I9FbOSioyvEkXlargClXjztXsvgxpRNNJTp1PZWTDZnLhnT9STvTdACLNDGUMTHKxiSqmGQFe7Gd8pv/CfvUsRy+81e4j3bR3a7QvmEfx577W+9AZ3RQM9VNlH/2KCxFTprf2olklpj9xjJG//Ps+LEBSr9ZQ9XDi7CU5TLpXt3NteWmX9H596Pxc21bv5ODv/hL2nNId96nuPAOwKAVligrK2P6dL1uqtPppKqqioaGBgRBwO3Wb3jd3d2Ul+u/41deeYVFixZhsVgYO3Ys48aNS7LWAVavXs2WLVt4+eWX+eCDD3jggQfilv5pU+ptQDKJbQLJgp55m6T2+rzX4rHkvdEqxC313oYS+6b1tiPq+2uShiaBIMuE3QEimohLDjDzIjtynoPiS6dljFEWmpo4+/pxFE8rRUKlI5KDRQzT7nNQluumZsIxpB59+4hdH2CV9HBhQvka5hYZNVoDUy/7ZkIWVAKKiTyLn7PyGwmqMiIqB7oL2XGsnNEjOuhqdyDJKsUFHuw5Qdo7c5h0ZiOuQi9llR209zhw2QPxAUc5+otwygHcESuioGISFNwRGxYxgi9iQdVEAoqJkKJP33edNQoA37HOjO6G/lBUMZ5MLBMn5AYQMsdQp/qyT+Q4nyeWOpZIzCwpmE0qRfNriHR42LX012xb+n8IdfiwFDmSniZiEUExJEGl6U9bMI8uZerPrmT/E+8i9ASSjhO7EeSfPQqTzYRsNzHrL/8OwP4He4XbU+fGu6ex77llGOBN5JS4VzT0ONYsltbWVmbMmBFfVq1albHZI0eOsHXrVs477zxWrFjB8uXLqays5Ac/+AEPPvggoOcXr6ysjO9TUVFBQ0NDUjuKopCTo0/KGjNmDB988AFvvPEGy5YtO42EvD8/ttiPZZ5JrPvxofcdQE3zzJXhOSydZa771rVet09M+EWNztfexFzoRBZUWkM5lJ1hJ6dmLPXPf5hk4SUKgpxjZf/7Tay8egN/WdOMSYxQIPmYVXYUixzhs/pytDN9aJO9WDqjMzytICogewUiORpqRKS9zcnBtkJ8YTMdQRuioOkFmKMnYREjHNlThiMniDtoxZEb4OIx+2h3O+jxWBhV0sHB44WEP83HE7DoZeHQ3QDeoIVD3QXkmvzxtlxygJaQkyKzJ3pOalzQQqqEN2wm9+zRADT+6e9Acqz2QOgDg3rxicEkMZwvkURrOd1nGaNl+hHx2GepN29R0LCZwljlMGZZQRZVHKMKKLlmNmXf+hrFC3WL+uwVNyTdaCRR7Y1xR8AflOj89DCezfvp2NOGIIn4jrTFXXipRZTjNzGLmbNWLeGcdbfHjYsx35rFWauXZnXOensZP/ry0LJbioqK2Lx5c3xZunRp2ua8Xi8LFy5kxYoVuFwunnnmGR5//HHq6up4/PHHWbJkiX7YNEIspFyQ0tJSamtr43/n5OTw6quv0tbWxo4dO7I+xSEt5FqKIPd1aWi9Ap3wd59BysT2YvQr5r1++ExunaR2Ukl04UQHSGPuFaWnh8DuveRVFWOOCp1DDlI6b0rvRA36PrLnXX8Jhze20rTHzRsrDqBqIh7VSpHZw2hHJ0pAYnxpK+EmOxEHKHa9ryYPyD5AA9MRK4KoYTZFCEVk/BFTdGKQg6AqYxJVwprElXM+Zc7IQ9hNIXxdNnLkEHk5PThz/Rw+WkyBqwf/uCARRcTjthFSJFp9etpVs6TQ5M+lK5oxsSM64/NYoAC7FIqLcyjqSzeLChP/1xkgChx/fVtW0RCpSZ5EQcNiivSJqvAGzX32TYxHz7T0+TpTbq7pEnF9HvqLNY8fDw1LtGi0SVIwEab8ull4tx+hc+N+qh5ahMVlivcp8TXeb1GiZu33yb9oKodXvEHEE2DbXb+na1td0j6J5xjrm310Ie4d9XR9ejB6LQQEcWDreygxWD5ygHA4zMKFC7nxxhvj0+d/85vfxN9fc801cfdJRUUFdXV18X3r6+vjbpcYzz33HKWlyTOYZVnmueeei1cJyoYhLeSQztrWkl9Fre/6hG+lz80g1dpO3S9BxJNI28YAnRd7bz4xcW///UsAjPv6aBxyELsUwi6GqD7PSuBYG4d+rldKj0WsxG7qphFOJq6+nYn/eS1ml4U/PniA4z2OeMKq6jMa2FNXilziR/ZBT5lKsDRCyAVhJyhOBVUGTRH04sQmfTJQV9BKi99Bd9iGogl6ZIkYIUcOkWMKMXFME3/eP4Vyp5sylxtrXoBOjx2x3Uw4KON0+ekJmFE1gXxbD9NGNKBqAs1+F76IRU/hG+3jQV8RIVVGRKMnYiLHFE3VajZT+e2vYCnL61ccUycJxUhXHFkUNOzmMGFFyviU0x8nIlKpCbSy3TfTpKWkBSFeQch38DifXvEoR596E0/tEcYvn0/BOZVpRTx+DPQJQvYRFib+eD7jfzQ//tmR3/wt7bkoqshny19g8/W/xF/fSdenB9j7kz/g3nY0w/kPDV94RgYpakXTNJYsWUJVVRXLli2Lry8vL+evf/0rAOvXr2f8+PEALFiwgHXr1hEMBjl8+DD79+/n3HPPTWqzoqKij5DHmDNnTtanOLSFPNNtM9FfDf1a1ZBezPsMiKasT+5HyuuA/e47wBnbV+npBmDnkxswKQECqomwJlHgUhkxfzpdH+6hY8MeIDGULfpelrGfPZ5Jv1xK034fa65ZT+1nAgVmH2fktGOy9Fql5i4RW72M7AdEsNXJqGaNkWWden5wU4gjDUV09NgJqxL7Oouo78nnM3c5JkHBJfmZ4mqkwNLDzMpjADR79FqgTkdAHxxqthIMy8iSQqWri4bOPERBI8/sp9jqxSJGiKgSx4MuZEGhI2inM2TneMBJsdUbHxhVNYHc8SOwFOUOKIL9fR4T0phrQRL1gb9M+6XLYniiA6ODPVtR05KfDGLjGQ1v7WHvw6+TO+NMRn3nQua8s5zccgcWKdInZjz2lBKzymVBjVv0xXOrGb30IkSrjO9Ie/y4qU85zrNGEWr3sm3JKioWfw2A3T9aS7i7J+lY2Qh4fALV5xgjGAwGyyL/6KOPeP7551m/fj01NTXU1NTw+uuvs3r1au666y6mTZvG3XffHfetV1dXc+211zJ58mQuvfRSVq5ciST1HZQfnHM8EY/6IDBjxgw2b96c1bZjnnkk84eZ/ie01NfeDYXUzwYijVtGiPrT9Fch7l+LrY/t1yviWlK+lnBLK/U/exiA4vPHcNnjX6XU6uVoTwGfrtlJy442Kr/3DeQ83SWRmF869oOQRBUhEmHLgv8CYPknC9jmH8sk13FeP1BNuMuCpVkm7NSwNwqEciE0MoTUYUJxKowf34iqCQQVmWBYptjhpa47j4gisuCMzzAJClYxjEex0hTIpdnv5Eh7AWZZIccaJBiR6ex0oHWZwRFhRImbjgMFXHDubvJMfmRRwROxIgsKfsVMSJVwyCEaenIptemj+22BHAKKjCyqBCIye578AMFhY/S3L4inUo2RrYWbLjlVbL2iivHB1US3Q6IVnXjcTMKfjtRKPpB+Ek3i+v5QNSEefRJWJL3sXbcfRdGwF+guK0lU4+eiakLawd7UuPJYKGI4qNH43++TM6mMkq/poYuxQfDYjST2VBPj+GtbOfKUHgc97p6ryJ8zkaY/bkSQJcJdPRRdOg1raR4AEV+AiCeI7LIh281JOWq2XPazAc8/kRPRi3S4XBXMOO/2rLZ1d/7xpI51KhniFnk/Szb7QV/LPFO7mdDSWOgkW/Kx7VL3S0yiFXs1FRdR8u//BkD7tmY+/b97OR50YpXCHN/RTu5Xz0J0OftYivp7vQ1FFdFkmfG3fQXJImGzakxwttLoz2NCSQuiXyQ4KoTzkEDEBpZOMDeaUYv1Qsn7DpQTjIYgFjp8+MJmLqrYz1cqD3K0Ry82ENYk7GIImxSi0tFF8LgdVRNodzsIhGQstjA4IuCTaT+Sj+wT2fh+NVs7RmISFMxRd0psglBQkRlp78Yb1gtOlNg8yKKeq7yzKUTre7so/sb0fr6I/kkVWTXl+kmiis0U1ostJKQljgltLFwv2wRb6cgm62K2TxwqujjHEl+5RsjkF5uwyBEs0SiWmFCHFImgIvfx86cOnMYGMU0WgbH/elFcxNORGL4IUPKNs5nx2o/Jmz2BYIv+VNm5YQ91v36X5hf+RuPzG+L/n1uvfpwdi3/J1oWPJs9WDvTN5/KloGa5DGOGdvbD2P+hRnqxja1P/M0JKe+jgtq7S5rBrNT2E9uNWtOJgizEtokeQ1DT9CPxFhn9LGaZ28eMo+K+e4h0dnHg92vpcYepvnUWpuI8IvVNNP+uBed5VZhLCxCsJmSpV8x7LUkR22UXIj3/CZs3+Dlztp1yWxcmUaV1Qg7tnxXSfU4IqdWEpUtADELOVivB2V6CXVY8AT0p1jkj6vArZja1jmbaiAbqvHlEVIlt6ycQGhUEVWDsqBbmTN9LT8TMwY4RuBtdWFokxFwVISJgbRXxl6k4D4m0flyG9xuNhFQZsxjBJoUJqxI2KUR32EZIlegIOrDLIcyiQqffTser6yn8pynRPCvJ/t1sH8fT1cRMzZoYq7WpJCTXSszwl7pvNseItZOJxCeqTG2nC2mMRZSkC3lMraepx5sr0XzpQvS6pe+jJKiI9J1pGttGhaTan4kIosD4/70w/vfkJ75DsNXN9m+tRNN6nxgn/eImpByr/qQqgKpqRPwhtl/9KJL4CDNnzmTjxo0Zr9lgIwxpB/7gMLSFHJIHFVP/ubL5jfcR+gRVjr5PcpsktjtA+1qCyPcb/Zbm/8iUl4cpL4/iO+6g+dk1hJ/ayNiFZ7P11v9GC0XofHMLSrePMQ8twT6pAtB/aIkiJAgaI5ddweu3vwDAdS9fiSe/grMKG2k418eR9gLE3Wb8JSAFQJUh5LEgOfTiz76gLuAhRcJhDtHQk8doZycBxUTkDD8j8n1IgoY7aEXRREIRvZCznB8g4rPr100EX6UCskbYLiJUe3jn4CTOHXU0ud6joJFv7sEsKngjFgKKXihBEDRa/rqPCfdckRQ2l42IJ9/Y+opjqhilK/eWzeBpIpnEPLH91NwpqX0dCD2NbuYBzNh1SXx6SM2pkni8dOf6eWK6012r7d9aCcDo786LH8c5pTJpm46P9nH45y9RdNVsvuGaeEK1KE+aRJfnaczQFnJRyyzCiaSKdeoXJ6SsT/xBxd6nE3TiHyUdP8kqj5rzmjiAmGdAtjsoWvwvHH/8USqqcpj5zPWY6o6xZ7+J7nc2g80ST62qJrpXNAFJBOeM8RRfeS4tf9pE3ZY2pl7u0CfcRGRkScUzMYzYJetJtEQQfBJyk4n2sWCyRGhqKEDqlPGM8tGMi9J8N5KgMrasDVlU6Q7YMEkKLd1OAk0OhLwQmseEWBZAaLXoGRc9IopDxTcujG27E6wQqZAICjIuOYCIhl8xYRJUREHFLEb0m4UqEmrzoPiC5IwrSiuAMdKJCCSLZ1JZtTTbxtMSSMnTpDO1nY5sBzdTnwZS+5qOTImt0rWXmt53MAZds7kGqdeqbNH5FM6diuywkk4xNQ1c08cy5ifX4poxjmcXnJiP/OTRhnhIzeAwtH3k0NeHnWmIOckvnma/1PXZ+NrJHPaY5PuOXcXENqODoeluCknpbwHJbqfw5n9hy5ObMHm7MV14Dl+/rRJRlom06v7I1NzO0OsHLlsyjzPvW8Tmpzaz5b1uOkN2yh1uvEddOPaasDfpdTxVGSytIiY3CA1WQo0OCOpJtkItNkKdVuqaCzjcUIQsqvjCZspy3AiCRsBnBruC1R5CCAtYP7Oh5kV0EbdpiEERISgSytMI5ypsPlapT/hRzBz0jGBb60j2dRfRE7EgCyo9ET322b2zAefkkUkTJdJZi/1Z16nXJN1+sdeYb/nz0N9gZ6b1JzJoGiOxYEVSrHmCDzzsj6Co4GvopvmDAwS7AygahIOReEKupMRd0QHMPu4nemf7pjuftOkGEq5fxbe/inVkQZ9tg20etn3nl2iahmizkj9rPIJ0auRGULWsluHMkLbIkyzkTFZ1on8D0vvM0/nSU0loI7XJvjHjMX9KrG3dZNYg40NDn74kngtgLitlxG3X88m9L1D9AzDPGUvJpVNo/8vH2KtGIdosSVan/qpFB/Q0cs4Zx/h7F7L93hfJfWgu0qQzKBrfTou5ANEvIvcISH4QwxDKA9WiodoVhLCI6lDQpGjHVQGLI8Sxjnzs1hANkVxCikRegQ+324a/ywauCD2ijBYR0KL1kFVLNFmXpCF7RRSniDfcW3vQIkcIRCcg9ShmrFIEb9iMZ2c9rikjky7TyYSpZeMqGeyJLP1lTxzoppH6eTprvWtPC8ff34e/2Y0WUQj7wnTV1iE7rYhmCWtFAb5H3kJyWAh3+NAUFceZxfgOtnDWI9eQX6OnQGh+bzdt/7MP25giSi6pwl7RV4DT3WQyPQ2kI37jDITQFJWwL4icY0PTTrx+6qCgfb4n5eHGkBbyo7csP9Vd+NJZN+0SVq1axVt3r8B9tpsbbriBs3dLPPDAT7Pa/89jr2H58uV89tmLmEymgXc4xcz/xXxuu/w2vnnJN091V4YUkUiEjRs38utf/5o9H2zg5ptvZvKVkzGbzVitVqZMmUJ9fT2zZs1CEAQ6Ojpob2+nsrKSN998k8cee4wNB1s4q9bCTy//VzZu3Mgtjz1NMBjE/Okx6n/7MbfccgtPP/10UrHfweCdd97h48aP+Wmbh6dKruArX/nKoLZ/whiuFYMvmyuvvJIPP/yQYDCIy+Vi+vTp+P3+gXeMsmDBAsaMGcNjjz32BfZy8Kirq0tKLPSPzrFjx1iyZAklJSV873vfY+LEiezatYv77ruPefPmMXnyZL7+9a9TWVnJ7Nmz4y6pgoICxo8fj9Vq5YorrmD9+vWsWLGCv//971x88cW8/PLLXHXVVUybNg2r1UpxcTFr1qzBarWyatUqVHVwzNY1a9Zw2WWXsXr1aoD4LMdTipblMowxhHyIYbFYGDlyJHv37uXHP/4xK1euZPHixSfUxqpVq3j00UfZu3fvF9TLwaOlpYXCwsJT3Y1TTigU4qGHHmL69OlUVFSwbds21q5dy9GjR5k/fz7FxcWMHj2aWbNmccsttwzYnizLfP/732fnzp0cO3aMP/7xj/zud7+jtraWffv28ZOf/ASXy4XZbObWW29FkiRWr15NT0/PSZ3HoUOHUBSFvLw8fvvb31JWVnZS7Q0GgqZltQxnDCEfglxzzTVMmzaNffv2sXv3bqqrq09o/9GjR/Pd736XBx544IRSYZ4Kuru742k8/1H55JNPmDZtGhs2bOCTTz7hvvvuo7u7m0suuYSysjLuv/9+amtrWbp0KV1dXYwbNw6At99+mzfeeAPQM/I988wzBIPBAY9XUlLC7bffTmtrK++88w4rV+ohhEuXLsXhcHDHHXewdetWdu7cyYEDB9A0jc7OTlpaWgZs+2c/+xktLS3s2LGDG264IetroGkatbW1NDY20tzcTGNjIx6PJ+v9B2g8u2UYM6Sn6P+jomkafr8fu93+udvo7u7mwgsvZPHixdx5552D2LvBw+/3k5eXRyAQ6JPe8x+FAwcOcP7557Ny5UquvvpqBEGgubmZCy64gHvuuYfvfOc78W2XL1/OI488woQJE6ivr49bz1OnTmXv3r2EQiHmzJnDj370I6ZPn05ZWRmiqNtqXq+XP/zhD9hsNq699tr4+hhNTU08+eSTnH/++SxYsICioiLy8vLw+/10dnYiCAJer5ctW7bEiysMBh9++CHbt29n7dq1NDY20tHREZ1cJBAOh5k0adJJ6UWuo5xZk2/Natt27S/DVpsMIT+NOXr0KDNnzuS1115j5syZp7o7fWhubmbatGkcP3584I1PUxYuXMj555/PsmXLOHr0KK+++ipPP/00ixYt4t577+2zfVNTEx0dHRQWFrJ7925Gjx5Ne3s7U6dOxWQy8atf/YqXX36Zbdu20dXVRWlpKaWlpezfv58LL7yQ+vp65s6dy8MPP5xV/zRNo6urC4vFgsPhYMyYMcybN4+tW7fi9/uZMWMGd955Z7+TfN5++23uvfde7rzzTq655pr4+hdffJE777yTyy67jJkzZ3LzzTejaRqapqEoCj6fj3nz5p28kFelzyueSjuvDlttMoT8NOfPf/4zt956K5s2bRpyg4put5uRI0cO3iP0MGTevHnccsst7Nq1i6effpq5c+cyb948Fi9ezJo1azh06BA33XTTCbvXAILBIE1NTTQ1NTF69GjKy8tpa2tjwoQJ7Nixg5EjRw7cSBSv18vFF19MVVUVNTU1zJo1C6vVynvvvcfDDz9MQUEBwWCQ999/n7Fjx8b383g8zJ07l02bNlFSUsLs2bPJzc1l//79bN++nWeffZarr74643FPVi9yHeXMmvQvWW3bLrw2bLXpSxfySy+9lLa2ti/zkAYGBsOUwsLCE6omn0quvZxZE7MUcmn4CvmXHkd+Ml+KgYGBwYky3CNSsmFITwgyMDAwOGkMITcwMDAYxmgaDNJkp6GMIeQGBganN6e/jhtCbmBgcHpj+MgNDAwMhjuGkBsYGBgMYzRgmOcazwZDyA0MDE5jjMFOAwMDg+GP4VoxMDAwGMYYrhUDAwOD4Y4GmuFaMTAwMBjeGK4VAwMDg2GM4VoxMDAwOA0wolYMDAwMhjPDv4xbNhhCbmBgcPqiYVjkBgYGBsMewyI3MDAwGOYYQm5gYGAwnNGMqBUDAwODYY0GmqKc6l584YinugMGBgYGXyialt0yAHV1dVx00UVUVVVRXV3NE088AcB1111HTU0NNTU1jBkzhpqamvg+Dz74IOPGjWPixIm89dZbX9QZGha5gYHBacwglnqTZZlHH32U6dOn4/F4OOecc7jkkkt44YUX4tvcdddd5ObmArBr1y7WrVvHzp07aWxsZO7cuezbtw9JkgalP4kYFrmBgcHpzSBZ5GVlZUyfPh0Ap9NJVVUVDQ0NCYfR+P3vf8/1118PwCuvvMKiRYuwWCyMHTuWcePGsWnTpi/kFA0hNzAwOK3RVDWr5UQ4cuQIW7du5bzzzouv27BhAyUlJYwfPx6AhoYGKisr459XVFQkCf9gYrhWDAwMTl80DZTsRLq1tZUZM2bE/166dClLly7ts53X62XhwoWsWLECl8sVX7927dq4Na4fuq+VLwjCifQ+awwhNzAwOL3JMo1tUVERmzdv7nebcDjMwoULufHGG7nqqqvi6yORCC+99BJbtmyJr6uoqKCuri7+d319PeXl5SfY+ewwXCsGBganLRqgqVpWy4BtaRpLliyhqqqKZcuWJX327rvvMmnSJCoqKuLrFixYwLp16wgGgxw+fJj9+/dz7rnnDvYpAoZFbmBgcDqjDV5hiY8++ojnn3+eqVOnxkMMf/7znzN//nzWrVuX5FYBqK6u5tprr2Xy5MnIsszKlSu/kIgVAEFL58gxMDAwOA1wCQWcJ16S1badZx8c0LUyVDEscgMDg9OW879+Lm1tB7PatrCw8AvuzReHYZEbGBgYDHOMwU4DAwODYY4h5AYGBgbDHEPIDQwMDIY5hpAbGBgYDHMMITcwMDAY5hhCbmBgYDDM+f/fLGRNSNN3OQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "simple_plot(H)"
   ]
  },
  {
   "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}