CLIMADA_TC_holland2010_version2_comparison.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ce0906e8-e2dd-4c88-8046-541f1edcfc19",
   "metadata": {},
   "source": [
    "This notebook is to test the changes proposed in https://github.com/CLIMADA-project/climada_python/pull/846. Let the code run in the respective branch to get the results of the comparison."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "834f24e8-7502-4ffa-bd9f-dca80100780f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/roo/miniforge3/envs/climada_flood/lib/python3.9/site-packages/dask/dataframe/_pyarrow_compat.py:17: FutureWarning: Minimal version of pyarrow will soon be increased to 14.0.1. You are using 12.0.1. Please consider upgrading.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import subprocess\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from  scipy.stats import linregress \n",
    "\n",
    "from climada.hazard import TCTracks, TropCyclone\n",
    "import climada\n",
    "from climada.util.api_client import Client\n",
    "client = Client()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "32fc9388-5288-46f3-ae6d-99ecf8530f27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0b218fe9\n"
     ]
    }
   ],
   "source": [
    "cwd_temp = os.getcwd()\n",
    "climada_dir = os.path.dirname(climada.__file__)\n",
    "os.chdir(climada_dir)\n",
    "label = subprocess.check_output(['git', 'rev-parse', '--short', 'HEAD']).decode('ascii').strip()  # subprocess.check_output([\"git\", \"describe\"]).strip().decode(\"utf-8\")\n",
    "print(label)\n",
    "os.chdir(cwd_temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42ec1439-633f-46c3-a329-89e47fa34311",
   "metadata": {},
   "source": [
    "initiate dataframe for results as results_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bb6273c7-96cc-4322-b6ae-9a35803af4a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "results_file = \"results.csv\"\n",
    "if os.path.exists(results_file):\n",
    "    results_df = pd.read_csv(results_file)\n",
    "else:\n",
    "    results_df = pd.DataFrame()\n",
    "    results_df.to_csv(results_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c84c6e3-5ffe-4f4e-93a3-d2644f027459",
   "metadata": {},
   "source": [
    "Prepare tc_tracks and calculate windfields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "65ccbb44-6cf9-4ebd-a7ad-eb78443be5a7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-02-06 11:40:31,546 - climada.hazard.tc_tracks - WARNING - The cached IBTrACS data set dates from 2023-06-07 23:07:38 (older than 180 days). Very likely, a more recent version is available. Consider manually removing the file /home/roo/climada/data/IBTrACS.ALL.v04r00.nc and re-running this function, which will download the most recent version of the IBTrACS data set from the official URL.\n",
      "2024-02-06 11:40:34,357 - climada.hazard.tc_tracks - WARNING - 10 storm events are discarded because no valid wind/pressure values have been found: 2020019S11063, 2020024S14190, 2020140S05094, 2020195N17125, 2020222N26149, ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/roo/miniforge3/envs/climada_flood/lib/python3.9/site-packages/xarray/core/utils.py:494: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n",
      "  warnings.warn(\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in multiply\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n"
     ]
    }
   ],
   "source": [
    "# reading tracks\n",
    "ibtracs = TCTracks.from_ibtracs_netcdf(provider='official', year_range=(2020, 2020))\n",
    "ibtracs.equal_timestep()\n",
    "# reading centroids\n",
    "cent = client.get_centroids()\n",
    "model = 'H10'\n",
    "model_kwargs_dict = {\n",
    "    # 'current':{\n",
    "        \n",
    "    # },\n",
    "    # 'version2':{\n",
    "    #     'vmax_from_cen':False,\n",
    "    #     'rho_air_const':1.2,\n",
    "    # },\n",
    "    'version3':{\n",
    "        'vmax_from_cen':False,\n",
    "        'rho_air_const':1.2,\n",
    "        'vmax_in_brackets':True,\n",
    "    },\n",
    "}\n",
    "for model_kwargs_label, model_kwargs_i in model_kwargs_dict.items():\n",
    "    for ind in range(ibtracs.size):\n",
    "        sid = ibtracs.data[ind].sid\n",
    "        temp_track = ibtracs.subset({'sid':sid})\n",
    "        windspeed_tracks = temp_track.data[0].max_sustained_wind * 0.5144444\n",
    "        temp_tc_haz = TropCyclone.from_tracks(temp_track, centroids=cent, store_windfields=True, model=model, model_kwargs=model_kwargs_i)\n",
    "        windspeed_windfields = temp_tc_haz.windfields[0].max(axis=1).toarray().squeeze()\n",
    "        temp_df = pd.DataFrame({'windspeed_climada': windspeed_windfields, 'windspeed_tracks': windspeed_tracks, 'sid': sid, 'model_kwargs_label': model_kwargs_label, 'model': model,})\n",
    "        results_df = pd.concat([results_df,temp_df])\n",
    "results_df.to_csv(results_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f4a0ad2-43e4-4d84-a611-49acd8e97917",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d08b561f-f856-4b3c-89f4-45dc4b81f36e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 65, 'r^2: 0.8806668852348659\\nintercept: 1.3756564461413099')"
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     "output_type": "execute_result"
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    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "label_select = 'current' # corresponds to keys of the dictionary defined above\n",
    "selection = (results_df['model_kwargs_label']==label_select) & (results_df.windspeed_climada > 0)\n",
    "lin_regress_result = linregress(\n",
    "    results_df[selection].windspeed_tracks,\n",
    "    results_df[selection].windspeed_climada,\n",
    ")\n",
    "plt.plot(results_df[selection].windspeed_tracks,\n",
    "         results_df[selection].windspeed_climada,\n",
    "        '.b',\n",
    "        markersize=1)\n",
    "plt.xlabel('windspeed reported in track [m/s]')\n",
    "plt.ylabel('windspeed, ' + model + ', develop branch [m/s]')\n",
    "plt.title(label_select)\n",
    "plt.text(x=0,\n",
    "         y=65,\n",
    "         s='r^2: ' + str(lin_regress_result.rvalue) + '\\n' + 'intercept: ' + str(lin_regress_result.intercept),\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "78624286-cdf7-4dc3-9752-cc93ea07dd0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 65, 'r^2: 0.9209672892984238\\nintercept: 2.4912227663499884')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "label_select = 'version2' # corresponds to keys of the dictionary defined above\n",
    "selection = (results_df['model_kwargs_label']==label_select) & (results_df.windspeed_climada > 0)\n",
    "lin_regress_result = linregress(\n",
    "    results_df[selection].windspeed_tracks,\n",
    "    results_df[selection].windspeed_climada,\n",
    ")\n",
    "plt.plot(results_df[selection].windspeed_tracks,\n",
    "         results_df[selection].windspeed_climada,\n",
    "        '.b',\n",
    "        markersize=1)\n",
    "plt.xlabel('windspeed reported in track [m/s]')\n",
    "plt.ylabel('windspeed, ' + model + ', develop branch [m/s]')\n",
    "plt.title(label_select)\n",
    "plt.text(x=0,\n",
    "         y=65,\n",
    "         s='r^2: ' + str(lin_regress_result.rvalue) + '\\n' + 'intercept: ' + str(lin_regress_result.intercept),\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6a7c4f17-a652-4b64-b6bb-d61ae2db7e0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 90.0)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "label_select = 'version3' # corresponds to keys of the dictionary defined above, with the changes as implemented by Thomas V.\n",
    "selection = (results_df['model_kwargs_label']==label_select) & (results_df.windspeed_climada > 0)\n",
    "lin_regress_result = linregress(\n",
    "    results_df[selection].windspeed_tracks,\n",
    "    results_df[selection].windspeed_climada,\n",
    ")\n",
    "plt.plot(results_df[selection].windspeed_tracks,\n",
    "         results_df[selection].windspeed_climada,\n",
    "        '.b',\n",
    "        markersize=1)\n",
    "plt.xlabel('windspeed reported in track [m/s]')\n",
    "plt.ylabel('windspeed, ' + model + ', develop branch [m/s]')\n",
    "plt.title(label_select)\n",
    "plt.text(x=0,\n",
    "         y=65,\n",
    "         s='r^2: ' + str(lin_regress_result.rvalue) + '\\n' + 'intercept: ' + str(lin_regress_result.intercept),\n",
    "        )\n",
    "plt.ylim((0,90)) # why is this needed? what is the track with such a \"high\" intensity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a013cea1-6b0b-4112-8336-35518012b318",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30457    2020034S13063\n",
       "242      2020034S13063\n",
       "Name: sid, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#investigate single event with very high wind\n",
    "selection_event = results_df.windspeed_climada > 10000\n",
    "sid_event = results_df[selection_event].sid\n",
    "sid_event"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c86c7c71-7bad-4b78-9021-977c846ec601",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-02-06 14:15:00,843 - climada.hazard.tc_tracks - WARNING - The cached IBTrACS data set dates from 2023-06-07 23:07:38 (older than 180 days). Very likely, a more recent version is available. Consider manually removing the file /home/roo/climada/data/IBTrACS.ALL.v04r00.nc and re-running this function, which will download the most recent version of the IBTrACS data set from the official URL.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/roo/miniforge3/envs/climada_flood/lib/python3.9/site-packages/xarray/core/utils.py:494: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.\n",
      "  warnings.warn(\n",
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n"
     ]
    }
   ],
   "source": [
    "# reading tracks\n",
    "event_track = TCTracks.from_ibtracs_netcdf(provider='official', storm_id='2020034S13063')\n",
    "event_track.equal_timestep()\n",
    "# reading centroids\n",
    "cent = client.get_centroids()\n",
    "extent = (45, 75, -25, -10)\n",
    "cent_event = cent.select(extent=extent)\n",
    "# calculate windfield\n",
    "model = 'H10'\n",
    "model_kwargs_dict = {\n",
    "    # 'current':{\n",
    "        \n",
    "    # },\n",
    "    # 'version2':{\n",
    "    #     'vmax_from_cen':False,\n",
    "    #     'rho_air_const':1.2,\n",
    "    # },\n",
    "    'version4':{\n",
    "        'vmax_from_cen':False,\n",
    "        'rho_air_const':1.2,\n",
    "        'vmax_in_brackets':True,\n",
    "    },\n",
    "}\n",
    "for model_kwargs_label, model_kwargs_i in model_kwargs_dict.items():\n",
    "    windspeed_tracks = event_track.data[0].max_sustained_wind * 0.5144444\n",
    "    temp_tc_haz = TropCyclone.from_tracks(event_track, centroids=cent_event, store_windfields=True, model=model, model_kwargs=model_kwargs_i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a9abb426-b0f0-4bb4-8b88-d9cba0a644ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<GeoAxes: title={'center': '1-largest Event. ID 1: 2020034S13063'}>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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t5aoLUGQqgYq8ppMnT5b5JlJmZiZ79+7ljTfeKNTq+PTTT5e43w8//MDPP/9MeHg4H3zwQZmO5daqVSvA1Qtg+PDhFZ7S4VJyOBwkJiaydOlSbrvtNi2hWY8ePWjevHmR7d3XKTQ0lBo1ahRbbs2aNbXW5AuvdU5ODrt37wZcNwcsFgtjxowhOjqa2NhYGjRoQEhICJ07d/baGliavLw8Tp48yezZs+nYsaP2vn/ssccIDg4ud3lCiCpStT1Hha+pyjF6Bw8eLHH/iRMnqoCqKIq6f//+IusvTD3/2muvFVuW50D3++67z2tSh9GjRxcqz9uYqcGDB6uAWqNGDa8pvVVVVXfu3KmNZXn11VcLrXvttddUQA0MDPQ6BsMtPT29SBKCSzlG780331R3795d4vL3338XKcN9zgwGQ5FkEm55eXlqtWrVVEAdOHBgkfUXe05VVS2Uir1evXpqYmJikW1KG3t1NYzRc1uxYoW23z/+8Y9KqWtFx+i59yktpf7FsFgsWhIVo9GoJiQkFNnmxRdf1OpSWgr7999/X9t22bJl5a7PoEGDtP3nzJlTZP0vv/yirX///fdLLGvbtm3ati+99FKhdffff7+2rrjfP7eRI0dq2+7bt6/Y7Txf+4WLXq9XJ02aVOJxUlNT1ejoaBVQv/zyy0LryjJGb8uWLYWmDQgNDVUffvhhdcqUKeoff/xxUVOHXOwYvZKmJbjxxhuLHffpPh/Nmzcv9Rju6Rxq1KhR6PmdO3dqxxo9erQ2NrO45emnny71WOfOnSuxjB49eqjp6ellOzlCCJ8gLXrCZzRs2LDE9S+++CJRUVGoqlrqHcrGjRuXOGbh66+/BlxjmD7//HNtDJOnt99+u9iU1gBHjx7lxx9/BODDDz8s9g76DTfcoLVCTps2rdC6M2fOAHDdddcRHR1d7LFCQ0OLTcl+Kbz66qu0bNmyxKVDhw5F9nN3w7Tb7YW6L3lavny51uXrwQcfLLSuMs7phT799FOtpdHT/fffr13finZfu1K4x4eBayzs1e7FF1/UxnaNHDnS6++xZ1r/C1vMLxQYGKg9Lm+L0k8//cTcuXMBaN26dZEW7Mqsy+V6TeAaB7tr1y6eeeaZErd74YUXSEpKokOHDgwfPrzcx2nXrh1ffPEFfn5+AJw/f57vvvuOf/7zn9x0002EhYXRq1cvvv76a5/o3u7v78///d//sXnz5mLHfbqvU2nXCAqu04XXyLMb65QpU/j7779p164dq1atIjs7m7S0NGbOnKlNe/HJJ5/w2WefVeg1RUREMHPmTJYvX05oaGiFyhBCVA0J9IRPUlWV06dPs3//fvbs2cOePXvYu3ev9oXNPadSce6//36vY2HAFYS4u6/dfvvtREZGet3ObDZz7733FnuMpUuX4nQ6MRgMxSZPcOvcuTMAiYmJnDx5UnveHYD89ddfbN++vcQyrgRt2rThuuuuA4rvvul+PjQ0lDvvvLPQuso4p57CwsIKddf1pCgKN954I+AKMK9mnl8oS5u37FJTXdmeOXbs2CUp//vvv+f//u//AFc3yYkTJ3rdLjc3V3tcWmIQk8mkPS4tsZKnffv2ack2/P39+e9//+v1plJl1eVSvKbHHntM6668ZcsWZsyYQY8ePVizZg0PPPCANl+fN+vWrWPatGkYDAa++OILr6+9LIYPH86uXbsYOnRokeDIYrGwYsUKnnjiCRo1asSyZcsqdIyK2LZtG7t372bnzp38+uuvvPLKK5jNZsaMGcPLL79c7HhO93UqS0Ia93W68Bp5BrVWq5UWLVqwevVqunfvjr+/P2FhYQwePJg1a9ZoweL48eNLHLcXHh6uXesdO3awdOlSnn76aXJzcxk5ciTvvvtukbHuQgjfJoGeuCjuIMzbUpG7qwsXLuT2228nODiYmJgYmjRpUqgVyT2mLiUlpcRyrr/++mLXHT58WPtD27p16xLLKWn977//DrgCR39//yJZGT0X90S4UNCKBzB48GD8/PywWq106NCB/v378+WXX/LXX39V6R/U6dOna1/Ii1vS09O97utupdu0aZOWcMUtOztbG9R/zz33aFn73CrjnHpq1KhRiS2hERERQNUHP5ea5+tzj/m5Gq1Zs4Zhw4YBrmv7008/4e/v73Vbz/deaUmXPBO7FFfehRITE7njjjvIzMxEURSmTZtGs2bNLmldLsVrioyMpEWLFrRo0YJ27drxyCOP8Ntvv/H222+ze/duunXrxq+//uq1/CeeeAJVVXnmmWdK/EwuiyZNmjB9+nSSk5NZt24d7733Hvfff3+h1vrTp0/Tt29ffvvtt4s6Vlm5k6DccMMN9OzZk4kTJ7J7925q1qzJpEmTuPPOO71minZfp7Ik+3Jfp5KuNcAbb7zhNctqo0aN+Oc//wlAcnJyiedGr9dr1/rGG2+kT58+TJ48mS1btqDT6fjPf/6j/X4JIa4MEuiJi1JS177yZPdzOp089thj3HXXXSxfvrzUILG0u+rh4eHFrvPsuubZpc2bqKioYtedPXu2xH2L43lHtUmTJsyaNYvw8HDsdjuLFy9mxIgRtGjRgurVqzNkyJArLnmGO9BTVbVIq96CBQu0a+st22ZlnFNPxaWXd3MHgSVN23E1cHeVhYLg9mqzfft2+vfvj9VqJTAwkJ9//tlr4hM3z4QSpXVd9Pw8Kkt3u9TUVHr16qW1Wn766ac88MADl7wul/I1Xeill17i5ptvJjc3l+HDh2vJZNwmTpzI/v37iYuLq9SpSEwmE507d+aFF17ghx9+4NSpUyxfvly71g6Hg5EjR1bZjbJatWppLcorVqzgm2++KbKN+zqVpcus+zqVdK0VRaFnz57FltG7d2/tcUV6jrRo0YI333wTcN0E9BbYCyF8k6GqKyAEuMZZffvtt4Ary9qzzz5L+/btiYmJISAgQPtC3rVrV9atW1fqH/Hium1eqKJdiaAgOIiOji7XHWTP+dnA1bLVs2dPfvzxR5YtW8b69es5d+4cycnJfPfdd3z33Xc8+uijTJs27bKO06uohg0b0q5dO7Zu3crMmTN5+eWXtXXuwC8mJkab485TZZ1TUdiOHTu0x+6utVeTv/76i9tvv53MzExMJhMLFiygffv2Je7jOX4qISGBNm3aFLutZ9fguLi4EsvNzMzk9ttv56+//gJgwoQJpWYKvrAuJSmpLheWU9KNLHc5iqIUO5asNP379yc+Pp4TJ06wdetWbrnlFm3du+++C8Btt93GkiVLvO7vDmIsFgs//PADANWrVy92bk1vFEWhV69e/Pbbb7Ro0YK0tDQOHDjAzp07tYydl1vPnj0JCAggOzubuXPn8sQTTxRaHxsbS1JSUqnXGgqu04XX2vPnsLCwEoN1z20rejNtwIABWsvg3LlzC2XyFUL4Lgn0xEWprLumU6dOBVxBwqZNm4p0S3GrjEQSnq19586dK3Hbkta7x/alpKTQsGHDYutcFiEhIQwfPlxLVrB3714WLlzIp59+SmJiIjNmzKBVq1alJj7wFQ899BBbt25lz5497N69m5YtW5KSkqLdCX7ggQe8Bq2VeU5FgRUrVmiPO3XqVIU1qXyHDx+mZ8+epKSkYDAY+PHHH7VJxUvi2Y1y3759JW7rXm8wGEpMGpWTk0O/fv203gwvvPACr776aql1ady4MXq9HofDUea6QNGpGi58Te4xqCWVExcXVygxS3l4BpLHjx8vFOi5uyVOnz6d6dOnl1hOcnIygwcPBlw388oT6LnFxMRw55138t133wFw6NChKgv09Ho9YWFhZGdnF+m+Dq7r9Pvvv3P+/HnOnDlT7BQLp0+fLnZajpiYGMLCwkhPTy+1R4LneoOhYl/7LrzWQogrg+83D4hrgvvud//+/Yv9cm+xWEr9ElQW9evX147hHhNWnJLWu79E2O12Vq9efdH18tS0aVNeeukl4uPjtS9hF2axvJjWyEvNMxmOe0Ly2bNna8kJvHXbhEt7TsvLl89veezZs4eVK1cCri/1JbVcXWkSEhLo0aMHp0+fRqfTMWPGDAYMGFCmfdu2baslw/Ccc+9CNpuN+Pj4IvtcKC8vj3vuuUcra8SIEbz33ntlqovRaKRdu3YAbN68ucSxW+7yTSZTkWvpGcSX9JrOnDnDgQMHAOjYsWOZ6ujNqVOntMcV6f5Z2Tyzq1Zl7webzaZ1l/Z2Xsp6nTzXebtO7oRUGRkZhbpnX+jw4cPa45IySZfE1661EKJsJNATPsEdAJQ09m769OnFZjErDz8/P+0P7bJly4pN7GK1WpkzZ06x5fTr108LBt5///1LMiYkLi6Oxo0bAxT5Q+4ZEHsmVvAF0dHR9OjRA3BNluw5Xq9JkybcdNNNXve7HOe0rHz5/JZVTk4OjzzyiHYen3/++Qrf0fc1Z8+e5bbbbtNaF7744osi03WUJDg4WHuP/vbbb8V2o5s3b57WqnL33Xd73cbhcPDggw/yyy+/ADBkyBA+//zzMtcF4K677gJcX9rnzZvndZuEhAStS3OPHj2KTFzduHFjreVn9uzZxY5ddXeTh+JfU2mcTmehel44MXhpyZxUVaVOnToA1KlTR3tuzZo1FaoPFL4xV5XduRctWqQF6y1atCiyvn///logWlJrp/s66XQ6+vfvX2S9Z2biBQsWFFuO53VyB4fl5Z4iBLy/JiGEb5JAT/iERo0aAbB48WKv2Rz/+OMPXnnllUo7nruLZHZ2Nk899ZTXgOLll18udBfzQtddd502/cLq1at56aWXSgxMjh07xqxZswo9t2DBgmKzV4JrfIa7FfPCLy6RkZFa64LnHVtf4W61O378OLNmzWLjxo1A0bnzPFXGOa0s5T2/devW1TKC+oK///6bTp06aePzunbtqo2xqUruc1S3bt0Kl5Genk7v3r3Zv38/AB9//HGF5mh7/vnnAVcL8siRI4t0gUtOTubFF18EXOOgHn/88SJlqKrK8OHDtS/C99xzD9OnTy/3++Dxxx/X5ih76aWXityAcjgcPPXUU1od3XUv7jWlpqYyZsyYIusPHz7M22+/DUCDBg28BnrTpk0r8aaa0+lkzJgx7N69G3C1NtWvX7+0l1ghAwcOZMqUKSVOCwAwY8YMLQiuXbv2Jem2uX79eq33SXH27dvH008/rf08ZMiQItvUqFFD+3xcvnx5oSDKbc6cOSxfvlwrw1v3zsGDB1O7dm0Axo0bR2JiYpFt1q5dy//+9z/AFaBd2DL4888/a3NOFmfjxo28/vrrgKtbqrubrRDC910dt3ZFhW3YsIFDhw5pP3t2jdy5c2ehO78AQ4cOvST1GDJkCC+++CIJCQl07NiRMWPG0KxZMywWC7/88gv/93//h7+/P40bN9a6HF2Me++9lylTprBmzRpmz55NUlISo0aNol69eiQmJjJ16lQWLlxI27ZttfE23r64TZkyhe3bt3PkyBHee+89Vq1axbBhw7j++uvx9/cnNTWVXbt2sWzZMlauXMldd91V6I/kpEmTeOihh7jzzju59dZbadq0KaGhoaSlpbF9+3Y+/fRTrZXzwi/pBoOBtm3bsnHjRqZNm0arVq248cYbtYmFIyIiKpxh8dSpU+zZs6fU7cLDw4vtCnT33XczYsQIcnJyCmXBK63V5WLPaWW5lOe3Mpw9e7bQNbJYLKSlpbFr1y5WrlzJihUrtHN+8803M3fuXK3uFbFz505tehMo3MJ86NChIp8VgwYNuiRdvKxWK3feeadWl4ceeojbbrutxPdrce/TW2+9lQceeIAffviBRYsW0bNnT0aPHk1MTAy7d+9m4sSJ2pfgd955x2s23+eff15rlWnRogWvvPIKe/fuLbYuRqNRa6X3FBERwbvvvsuIESM4fvw47du35z//+Q8tW7YkMTGRSZMmad2ZBw8eTPfu3b2W707ctHHjRj777DPOnDnD8OHDCQ8PZ+vWrUyYMIGMjAx0Oh2ffvqp1xbe5557jldeeYVBgwZxyy23ULduXQIDA0lPT2fHjh3MmDFDO//BwcEVnoi7LE6cOMFTTz3FmDFj6N+/P507d+a6664jPDyc3Nxc9u3bx5w5c/j5558B1+f0xx9/7PXzetmyZYWmYtmwYYPXx+Dqnjho0KBCz/3+++8899xzdOvWjT59+nDDDTcQGRmJ0+nk+PHjrFixgv/+97/aZ/ajjz5a7HjRiRMnsmzZMs6dO8fgwYPZvn27NmXMkiVL+PDDDwFX5md3xssLmUwmPvvsMwYMGEBiYiJt27bl5Zdfpn379litVpYtW8ZHH32Ew+Eodi7DX3/9lbvuuovbb7+dnj170rx5cyIiIrDZbBw+fJglS5bw448/ajcYXn31VZo0aeK1PkIIH6SKa9qjjz6qAmVeLkbXrl1VQO3atWuRdVarVe3Ro0exxw0LC1NXrVpVYhmrV6/Wtl+9enWp9UlOTlZvvPHGYo/Zo0cP9eeff9Z+jo+P91rO6dOn1c6dO5fp/D322GNez0lJi16vV9966y2vx16yZImqKIrX/caNG1fqOfA0ffr0cr0XAPXRRx8tscz777+/0PY333xzmepyMedUVUt+r3lyv//r1KnjdX15zm+dOnUu+vdk3LhxJb6HPd/jZVmioqLUiRMnqnl5eRWuk7e6lWU5evSo13Lc64s756U5evRopb5Ps7Oz1T59+hS7r06nK/F3yfO6l2Up7XWPHTu22PccoPbp00fNyckpsYxz586pbdu2LbYMo9GofvXVV8XuHxoaWqbXct1116lbt24tsS4lcZ+7ks7JgAEDynxuQ0ND1f/+97/FllWWz9uSrtPHH39cpn31er363HPPqXa7vcTXHx8fr9aoUaPYcmrUqFHs3x1P33zzjWo2m4stJzAwUF2wYIHXfZ955pkyvSaz2ay+++67pdZFCOFbpEVP+ASj0ciyZcv49NNP+d///se+ffvQ6XTExsZyxx13MHr0aOrUqaN1H6kMkZGRbNmyhcmTJzNz5kwOHjyIwWCgcePGDBkyhKeeeorFixdr27u7VV2oRo0arFu3jqVLlzJr1iw2b97MmTNnyMvLIywsjEaNGmmToV84PmL27Nn89ttvrFixgp07d3LmzBmSk5Mxm83UrVuXrl278uSTT9KyZUuvx77zzjtZuXIlkyZNYtu2bSQnJ1fKOMbK8tBDD/Hjjz9qP5d1DNXFnNPK5Ovn102n0xEcHExoaCh16tShdevWdO7cmb59+xabPES4+Pv7s3TpUmbOnMm3337Ln3/+SXp6OtHR0XTu3Jl//etfdOjQ4bLV5/XXX6d379589tlnrF+/nqSkJMLCwrjhhht47LHHytR6Xa1aNTZt2sTXX3/NzJkz2bt3LxaLhZiYGHr06MEzzzxTZEydp/j4eH777TdWr17NgQMHSEpKIi0tjYCAAGrWrEmrVq24++67ueuuuy75+2vBggXs37+f5cuXs3HjRv766y8SEhLIysrCbDZrE7r36tWLhx56qNS5US/G8OHDady4MStXriQ+Pp7ExETOnj2L3W4nLCyMJk2a0KVLFx555BFtOEJJ2rdvz+7du5k8eTILFizQ5l2sV68eAwYMYPTo0Vom4pL84x//oFOnTnz66acsX76cU6dOodPpqFu3LnfccQfPPvtsoYnlPY0bN47OnTuzatUqtm/fzpkzZ7QpGCIiImjWrBm33norjzzySIUTuQghqo6iqlWY7UAIHzdx4kReffVV9Hq99sVCCCGEEEIIXyfJWIQohqqqWmvUDTfcIEGeEEIIIYS4YkigJ65Zp06dIjc3t9j1b7zxhpZVzlvmNCGEEEIIIXyVdN0U16ypU6fy6quvMnjwYLp27Urt2rWx2+3s37+f//73v1qq7saNG7Nz5078/f2ruMZCCCGEEEKUjQR64po1derUUufeatCgAcuWLaNhw4aXqVZCCCGEEEJcPMm6Ka5ZAwYMIC8vj2XLlrF3717OnTuHxWIhLCyMli1bctdddzF8+HAZmyeEEEIIIa440qInhBBCCCGEEFcZadGrZLm5udhstqquhhBCCCGEwDVXb1l65/j6d7iyvg4h3CTQq0S5ubmE+odjo/hMjkIIIYQQ4vKpUaMGR48eLTFIys3NpV6dIM6cdVzGmpVPWV6HEJ4k0KtENpsNG7l0og8G/Kq6OiKfolOIrBNGyvF0VKf0VPYlcm18k1wX3yXXxjfJdfFddvLYcOZnbDZbiQGSzWbjzFkHR3+vQ0iw780+lpHppF7r46W+DiE8SaB3CRjww6BIoOcrFEXBT2fEoPihKvIH2JfItfFNcl18l1wb3yTXxYeV83IEBrkWX+OQt5WoAAn0hBBCCCGEAJyoOMsbHV4Gvlgn4fsk0BNCCCGEEAJw4sRZ1ZXwwjdrJXyd73VCFkKIy8BU3UBArHSxFkIIIcTVSVr0hBDXpJq9QvAL0nPk22QcudIlRgghBDhUFYcPTjHti3USvk9a9IQQ16T0XTkARLQNrOKaCCGE8BXuMXq+uAhRXtKiJ4S4JqXvykF1qOSesVd1VYQQQvgIJyoOHwyqJNATFSGBnhDimnX+r9yqroIQQggf4qutZ75YJ+H7JNATQgghhBACGaMnri4yRk8IIYQQQgghrjLSoieEEEIIIQTgzF98jS/WSfg+CfSEEEIIIYQAHD6ajMUX6yR8nwR6QgghhBBCAA7VtfgaX6yT8H0S6AkhhBBCCIF03RRXFwn0hBBCCCGEAJwoOFCquhpFOH2wTsL3SdZNIYQQQgghhLjKSIueEEIIIYQQgFN1Lb7GF+skfJ8EekIIIYQQQgAOH+266Yt1Er5PAj0hhBBCCCGQQE9cXSTQE0IIIYQQAnCqCk7V94IqX6yT8H0S6AkhhBBCCIG06Imri2TdFEIIIYQQQoirjLToCSGEEEIIATjQ4fDBdhBHVVdAXJEk0BNCCCGEEAJQfXSMnuqDdRK+TwI9IYQQQgghkDF64uoigZ4QQgghhBCAQ9XhUH2w66ZMmC4qoELv5KSkJBYtWsR//vMfbrvtNkJDQ1EUBUVRGD9+fJnKyM3NZeHChYwaNYr27dsTERGBn58fkZGRdOjQgfHjx3PmzJkylZWYmMjQoUOJiooiICCArl278ttvv5W6X15eHrNmzWLgwIHUrVuXgIAAAgICqFOnDu3atWPo0KF8++23HD16tEz1EEIIIYQQVy4nCk50PrhIi54ovwq16NWoUeOiDrpr1y46depEZmZmkXWpqanEx8cTHx/Pxx9/zNdff819991XbFmJiYm0b9+ehIQE7bl169bRu3dvZsyYwcMPP+x1v4MHDzJo0CB27dpVZN2JEyc4ceIE27ZtY8aMGQDk5ORgNpvL+1KFEEIIIYQQ4rK76K6b9evXJzY2lnXr1pV5n4yMDC3I69ixI3379qVNmzZERkZy7tw55s2bx9SpU8nIyODBBx8kODiYO+64w2tZzz77LAkJCXTo0IFXXnmF8PBwfvrpJyZNmsSIESO44447iIyMLLRPamoqt956qxYcdu3alYcffphmzZoREBBAWloae/bsYfXq1SxbtoycnJwKnp0rh1+IDnu2E9Ve1TURQgghhKgaMkZPXE0qFOiNHTuW9u3b0759eyIjI1mzZg3du3cv8/46nY777ruPcePG0axZsyLre/XqxR133MHdd9+Nw+Fg1KhRHDx4EEUp/Ca3Wq0sXLiQuLg4VqxYQWBgIOAKHp1OJ5MnT2bp0qU88sgjhfZ75513tCBv3LhxXrubdu/enVGjRpGZmcn06dPR6/Vlfn1XHAXqPhjJ+b05nF2bVdW1EUIIIYSoEr47Rk8G6Ynyq9A7+fXXX6dPnz5FWsrK6pZbbuHHH3/0GuS5DRgwgIEDBwJw+PBhduzYUWSblJQUrFYr7dq104I8tx49egBw6tSpIvstWLAAgOjoaMaOHVtiXYODg3n66afx8/MrcbsrmgqJv5wnfdfV33IphBBCCFEc1xg931yEKC/fu2XhwbOV8PDhw0XWh4eHYzAY2L59O9nZ2YXWrVmzBvA+nvDEiRMA1KtXD53Op0/BZWM5bsOWJtNxCiGEEOLa5cyfMN3XFqdvf2UXPsqnp1ewWq3aY29dJ/39/enduzdLly6lV69evPzyy4SHh7NgwQImTZpEQEAAffr0KbKf0WjEarVy6NAh7HY7BoNPnwYhhBBCCHEZSNdNcTXxvXeyh7Vr12qPmzZt6nWbSZMmERkZycaNG+nbty8dO3bk/fffR1VVPvnkE6Kjo4vs06pVKwCSk5MZPXo0Npvt0rwAIYQQQgghhKgCPhvo/fnnnyxduhSA5s2bFxvoNWzYkK1bt3LfffcRFhaG2WymQ4cOLFmyhGHDhnndZ9SoUdrjzz77jNq1azN8+HCmT5/O33//jSp3TYQQQgghrjlVP19e8YsQ5eWTfRatViuPP/44DodrzNhbb71V4vb169fnxx9/LHP5gwYNYuzYsUyYMAFVVUlKSmLq1KlMnToVgLCwMLp06cL999/Pvffee3UnYhFCCCGEEAA4VAWH6nuJT3yxTsL3+eTtgX/9619s374dgEcffZT+/ftX+jFef/114uPjueeeezCZTIXWpaens2jRIh566CGaN2+u1UVUHb2/gl/oVTzFhRBCCCGqXFUnXSlpEaK8fK5F7+2339Za1tq2bctnn312yY7Vrl075s6di8ViYdOmTWzZsoXff/+ddevWkZqaCsDBgwfp1q0b8fHxtGjR4pLVRRTPVN1AbN9QdEYdSaszyNhvLX0nIYQQQohycqo6nD6YjMUpw4pEBfhUoPfll1/yyiuvANCkSRN+/vnnIvPjXQqBgYH07NmTnj17AmC321mwYAGjR4/m1KlTWCwWRo8ezW+//Vam8hSdUmRyd1Exig7i7grDkauSfcpKVMcgMg+WL3mO63q4/he+Ra6Nb5Lr4rvk2vgmuS6+S1EVcJZ9e19tPXMggZ4oP58J9GbNmsVTTz0FQJ06dVixYgXVqlWrkroYDAYGDRpEo0aNaNeuHTabjVWrVpGSklKmSeIj64ThpzNehppe3QJi/ah2c5D289mDmYTdEEztTgayE/LKXI6iUwiLCQZFQXXKB6UvkWvjm+S6+C65Nr5JrovvynPa4GhV10KIquETgd6iRYt45JFHcDqd1KxZk5UrVxIbG1vV1eKGG26gXbt2bNiwAVVVOXLkSJkCvZTj6RgUSeByMRQdhPWqRkZGhvZc4s4UdPXyyHbaSD6WXY6yFFBVko+nyx9gHyPXxjfJdfFdcm18k1wX32VXy35jGFyNf76Y+KQcjZJCaKo80Fu5ciX33XcfdrudyMhIVqxYQYMGDaq6WppatWppj3W6sjXlq04VVZEP+ouhOuHk/DSq3RKEf7QraK7/aH6QHQuq01K+8tT86yJ/gH2OXBvfJNfFd8m18U1yXXxTeafM8tWpDHyxTsL3VWmgt2nTJgYMGIDVaiUkJITly5fTvHnzqqxSIaqqsmPHDgAURaFOnTpVXKNrS+5ZO05b0Q9oY5gBvVnBkSt/TIUQQghReRyqDocPJmPxxToJ31dl75qdO3dy5513YrFYCAwM5Oeff6Z169aX5dhdunRh1qxZ5OWV3Jw/YcIEDhw4AEDHjh2rbMzgtcgYrqfugxEExhnJPVf0OlXvFlwFtRJCCCHE1cyJ4rOLEOVVoRa9DRs2cOjQIe3nffv2aY937tzJt99+W2j7oUOHFvr58OHD9O7dm/T0dADefPNNQkND2bNnT7HHjI2NJSwsrCLVLeLvv//mwQcfZNSoUQwYMIBOnTrRoEEDQkNDycrKYvfu3Xz33Xds3LgRAKPRyAcffFApxxal0EH1TkGENvMHIOuYlbPrsjBVM1CrT6i2WVBdE4ZAHXaL9FoXQgghROWQFj1xNalQoDd16lRmzJjhdd3ChQtZuHBhoecuDPTWr1/P2bNntZ+fffbZUo85ffr0IuVUVGxsLCkpKaSkpDBt2jSmTZtW7LY1a9Zk+vTptG/fvlKOLUoW1tyf0Gb+5JzJI2WLhZzTrta87BM2jsxIJiDOiD3LSWz/MOoNiST3XB6nlpzHaZVunEIIIYQQQrhVeTKWqrBz50527NjBihUr2LRpE3v37uX06dNYLBYCAgKIjo6mZcuW3Hnnndx///0EB0s3wUtB56cQNzAMnVEh54yd1D8s+NfyI/dsHgkL0ots78hRyTzgmiw9eYuFau0DMUf5UbN3CKcWnb/MtRdCCCHE1cZ359HzvToJ31ehQO/bb78t0j2zPIYOHVpprXMV1apVK1q1alWldbjWBTcyYQx3vQVN1SDmjlBQwXLMWuq+aTuyMQTpCGvuT0CMEZ1JkVY9IYQQQlwUp6rg9MXpFXywTsL3XZMtesI3ZOzPxb+WkeAGJrITbIQ1d43LyzljL9P+59ZnYQjQEVTPRFgLf1J/L/vcekIIIYQQF3L6aIueTK8gKkICPVFlVAecWZGBIyeIsBb+5GU6SFqVqY3LKwtbugNwZekUQgghhLgYTlWH0wcTn/hinYTvk3eNqHJpf7pa4vT+OnLOlD3IA8g+aQMg60jp3T2FEEIIIUriQPHZRYjykkDvEmgwrBrGSGlhKit7phPLcSs6Q/k/xEzVXI3SgXVMKNI+LYQQQgghBCCB3iUT2z+M4MYmdEa5A1MWWUddLXPBDU3l2i/zsBXLcStBDUxEd5XsqEIIIYSoOHfXTV9chCgvaQO5BJx5KnoD1Lg1hLwMB/YsB6dXZuKQyb2LlbEvl4ibAjBFGcg8WPZumA6Lk8RfMght4U/1TkEENzKTfcrGqcUy3YIQQgghyscBPtlN0lHVFRBXJAn0LgGdn8LpZRmENjcTWMeEX4gec3UDlvxWK+Fd1lEroc39ydiXiy21vB9pBVMrBNQyUu2WQJI3WSq3gkIIIYS4qvlq65kv1kmUT1JSEmfOnMFiseDn50dYWBhxcXGYzeZLdkwJ9C6RyPaB+Ef7kXPahjNPLVcmyWtVyjYLYS39CahlxJaaU6597VlOrMl2krdaCGlkIqieiZStFtSyzdQghBBCCIFD1eHwwaDKF+skSrZp0yZ++eUX1q5dy44dO8jO9j4NWL169Wjfvj29evWib9++REZGVlodJNC7RPyj/QBXAHJmZWYV1+bK4BesR9EpWFPLH51ZjtmwHCtoMQ1uZKbh41Ecm5WKPVO6zAohhBCidCoKTh/suqn6YJ1EUUlJSXz55ZdMnz6dEydOaM+rqlrsPkeOHOHo0aP88MMPGAwGbr/9dp566il69+590fWRQO8SS/uzfC1T17LwGwMAsGdeXE/07BM2so5aCapnIqiekfRduZVRPSGEEEIIIYpITEzkrbfe4ptvvsFms2mBnV6vp3nz5rRu3Zrq1asTERFBeHg4OTk5pKamkpaWxoEDB9i+fTvJycnk5eWxePFilixZQrNmzRg3bhyDBg2qcL0k0LvEHFZpTSoLnVkhuJGJtJ3Z5GVc/DlLWpuJ3l9HROtAMvbKHHtCCCGEKJ103RTl9cYbb/D++++TnZ2NqqrUqFGD++67j4EDB9K2bVv8/f3LVM7Ro0dZtWoVM2fOZO3atfz111/cf//9tG/fnq+++ooWLVqUu27yrrkEEn/NIGN/LmdWZ0i3wTKq1j4Q1QFpO733Xy4vZ67Kmd8yUJ0qke0DKqVMIYQQQlzdnKris4vwTePHj8disdC7d29+/fVXEhISmDRpEl26dClzkAeusXrDhg1j5cqVJCQk8NZbbxEZGUl8fDzz5s2rUN2kRe8SyDlpIylBxuWVlV+YntCm/iStzcSRW3wf5vKyZznJOZWHIViPpMIRQgghRGkc6HD4YDuIL9ZJuPTr14+xY8fSunXrSiuzRo0avPTSSzzzzDNMmTKFwMDACpUjgZ6ockF1jTjzVDL3V/5YOp1RwWGrvOBRCCGEEFcvX20988U6CZeFCxdesrL9/f157rnnKry/BHrikghpasYYridtZw6O7JK7r5pr+JFzOg/1EvRy1fvryMuQ9jwhhBBClM6JDqcPtp75Yp2E75NAT1QqfYCOsOZmIlq7mpj1Jh1Jq0vuxqoorpa3S8Ge5cAYYcCacEmKF0IIIYQQwifJ7QFRqSJaBWhBHoApqgz3EhQFUzUDl2KKmPN7c/Gv4Yc5Wu5pCCGEEKJkDlXx2eVinTp1ijfeeIO2bdsSFRWF2WwmLi6OTp068dprr7Fnz54S91+2bBkDBw4kNjYWk8lEbGwsAwcOZNmyZWWuQ3Z2Nu+//z7t2rUjIiKCoKAgmjZtyvPPP19o3rnS/PXXX4wYMYKGDRvi7+9PVFQUXbp04csvv8RuL/t8zD/88AO9e/emZs2amM1m6taty5AhQ4iPjy9zGRcjKSmJb775hnfffZfZs2eTk1O507LJt19RqZw2V//LhEXphDQxE9LYjM6koDpU9GYd9qzC/TNN1Q0E1jaSHJ8Fl2AoXXaCaxL1kKb+6Hcq2HNkvJ4QQgghvLtax+hNnTqV5557jszMwr2sEhISSEhIYOPGjWRmZjJp0qQi+6qqyogRI/jqq68KPX/q1Cnmz5/P/PnzeeKJJ/jiiy9QlOLrefjwYe688072799f6Pl9+/axb98+pk6dysyZM+nTp0+Jr+Wbb75h5MiRWK0F02fl5uayfv161q9fz7fffsuSJUuIjIwstozc3FzuvfdelixZUuj548ePc/z4cWbOnMn48eN57bXXSqxLSfbu3cu4ceNQFIUvv/ySsLCwQusXLVrEgw8+WCi4i4uLY9GiRVx//fUVPq4nadETlcpucQVy/jF+BNU3Aa5umVG3BFHv4Uj8a/kV2j6onmsba3LZ776Uh2qHnLN5mKsZCG1hviTHEEIIIcTVQVV1OH1wUS9iHr1JkyYxfPhwMjMzqV27Nm+99RarVq1i+/btLFy4kPfff5+OHTui03k/xquvvqoFea1atWLWrFls3bqVWbNm0apVKwC++uqrEoOirKws+vbtqwV5w4cPZ+XKlWzatImJEycSFBTE+fPnuffee9m1a1ex5SxfvpwnnngCq9VKdHQ0n3zyCVu2bOGXX35h4MCBAMTHxzNw4ECczuKTPwwbNkwL8rp3786CBQvYunUr33zzDQ0aNMDpdDJ27FimTp1awpkt2YIFC5g7dy5JSUlFgryzZ8/y8MMPa3PvuZcTJ07Qr18/LBZLhY/rSVHdU7eXQ1JSElu2bNGWbdu2kZGRAcC4ceMYP358hSuUnZ1NixYtOHr0KAB16tTh2LFjJe6TmJjIK6+8wtKlS7FYLLRt25bXXnuN2267rcT98vLymDt3LnPmzOGPP/7g7NmzAERFRREdHU2zZs3o1q0bXbt2pV69eqXWPSMjg9DQULoxAIPiV+r2VyO9v0KdByLQmwo+LE4tSSf4OjMhjVyB1vm/c1AMCoZAHQG1jKTvzubcxsp5Q3uj6BRaPVePI8sTSd9d+Zk9RcUpOoVqdcNJPpaG6pTWVl8h18V3ybXxTXJdfJddzWMNCzl//jwhISHFbuf+Djds7X0Yg3zvO5wtK49vus4u9XVcaMuWLdxyyy04nU769u3L7Nmzi53bLS8vDz+/wq/90KFDNG3aFLvdTps2bVi3bl2h/bOzs+natSvbt2/HYDCwb98+GjRoUKTs8ePH8/rrrwPw3nvv8cILLxRav3nzZrp06YLdbqd79+6sWrWqSBl2u52mTZty6NAhQkJC+OOPP4oca+TIkXz++ecAzJgxg0ceeaRIOWvXrqVbt26Aa2qE+fPno9frtfXJycm0bt2aEydOEB4ezpEjR4oEamVx2223sXr1at59912ef/75IufjjTfewGAw8N5779GjRw+WL1/OSy+9hKqqfPTRRzzzzDPlPuaFKnR7oEaNGgwYMIC33nqLlStXakFeZRg7dqwW5JVFYmIi7du3Z8aMGSQnJ5OTk8O6devo3bs33333XbH7HTx4kDZt2vDggw8yf/58jh8/Tk5ODjk5OZw4cYJt27YxY8YMHnvsMerXr09urgQI3ugDdehMBc30jhyVI9NTOPT1OU78lMbxOalkJ+SRecDVvO6wOvGvZcQYpgcVEpefv6RBnlavXCeGIH3pGwohhBDimuVUfXXS9Iq9nn/+8584nU7q1KnDDz/8UOIE3hcGeQAff/yxNubt008/LbJ/QEAAn376KeAKxLx1/czLy2Py5MkANG3alH//+99FtunQoQPDhg0DYPXq1fz+++9Ftpk/fz6HDh0C4OWXX/YaUL7//vuEh4drj7157733ANDr9Xz++eeFgjyAatWq8e677wKQlpbGN99847Wc0rjHHN5www1F1s2bNw9FUXjkkUcYPXo0LVu25Pnnn2fYsGGoqlppUzZcdNfN+vXr06VLl8qoCzt27GDSpEmYzWaCg4PLtM+zzz5LQkICHTp0YPHixWzYsIFnn31W60+ckpJSZJ/U1FRuvfVWrWm4a9eufP3112zcuJEdO3awatUqPvnkE+6+++5yzWh/rTEE6qg/JJIGj1Wj0YgoghubtHWqA1SHSlA9EzVvD6HWnaEA2FLsHJ+Vysl56Zxach7LUdtlqWvuWTtB9U3ozL7X714IIYQQorJt3ryZHTt2APDCCy+Ue9Jtz4CjSZMm3HzzzV63u/nmm7nuuusAV3fFCzsLrlmzhvT0dAAeffTRYruIDh06VHs8b968IusXLFjgdVtPAQEB3HfffQDs2bOHgwcPFlqflZXFypUrAejZsyexsbFeyxk4cKDWcuqtLmXh2VPQU3JyMn/99RcADz74YKF1/fv3B9DWX6wKJWMZO3Ys7du3p3379kRGRrJmzRq6d+9+URVxOBwMHz4ch8PBuHHj+Oabb4oMGL2Q1Wpl4cKFxMXFsWLFCu0N3LFjR5xOJ5MnT2bp0qVFmm3feecdEhJc+faL62ravXt3Ro0aRWZmJtOnTy8S7V/rdCaFmPzgza3GrSHkZaSTe8Y1b11YS39Cm7oC5eStFnR+ipYc5XLL2J9LUAc9gbWNWuuiEEIIIYQn95g4X1OROs2ZM0d7fO+992qPU1JSSE1NJSoqqsQuiUePHuXUqVOAq1GkJF27dmX//v0kJCRw7NixQkOe1q9fX2i74rRp04bAwEAsFgsbNmwost5dznXXXUeNGjVKrMuXX34JwIYNG2jUqJG2buvWrVoSl5LqYjQaufnmm/n111/ZunWr126tpXEnWbmwV+DGjRtRVRWTyUSnTp0KratZsyaAFhhfrAq9k19//XX69OlTYjab8po8eTK///471113HS+++GKZ9klJScFqtdKuXbsidyl69OgBoL1BPbnvCERHRzN27NgSjxEcHMzTTz9d7ot7tQtr6Y8pwoAt3U7mwVzSdmYDULNXQb/x3CR7/v95pP2RTcoWCzmnqmbycnumE3uOk7CW0kIrhBBCCO+cKD67lNeWLVsAV++7qKgovvzyS6677jqqVatG48aNCQ8Pp1mzZkyaNAmbreiN+L1792qPmzRpUuKxPNd77leecgwGg9Yd88IysrKytEaay1EXz/V2u71Iy2BZREREABSZNsLdoti2bVuMRmOhde5usuVtfS2OT9yyOH78uBZwTZkypciLLk54eDgGg4Ht27eTnZ1daN2aNWsAvEb87hNer169YpuPRcmM4QasqXaO/5jGmZWZJMdbSFicjiFAh6m6q6E4oJYf1hQ7J+enV21l82UdysUUeWnm6xNCCCHEla+q58orbR69jIyMQovnFAMX+vvvvwFXYsOHHnqIESNGcODAgULb7N27l2effZbbbruN8+fPF1p38uRJ7XFxXRzd4uLivO7n+XNgYGCpSU3c5Zw7d67Qa0tISNC6hFZGXS62nLJwj82bOXOm9lxubi5z5sxBURSvvSGPHz8OeI9fKsInopynnnoKi8XCkCFDytUF1N/fn969e3P8+HF69erF0qVL2bRpE2PGjGHSpEkEBAR4nYvDHUgeOnSoXJMqigKmagZMEQYC4gqC8pzEPFSHSlgLV6uZPkCHPctRVVUsIve0HUWnyOTpQgghhPCqqqdRKGkBV/ARGhqqLW+//bb31+F0aoHbpk2bmDVrFjVq1OB///sfqampZGdns3btWm3c3fr163n88ccLleE5hCooKKjE8+bZApWVleW1nNLKKKmcyq7LxZZTFg888ACqqrJ48WIeeOABPvvsM3r37k1SUhKKojB48OAi+3i2wlaGKv/G+8MPP/Dzzz8THh7OBx98UO79J02aRHx8PBs3bqRv377a84qi8MknnxAdHV1kn1atWrFu3TqSk5MZPXo0H330UZlbEYWLIVBHxv5ccjzH3KngtKuENDZz/u9cjGF6bV49X5B1zIY11U5YC3/OnCl5/KcQQgghrj1OfHTC9PzuSCdPniw0vYLJZPK6vXt+NnDltAgICGDNmjVa0hSALl26sGrVKjp06MCff/7J3Llz2bp1K+3atQMKjy0r7XuyZz08JwD3LKcs37WLK6ey63Kx5ZTFI488wrRp09iwYQNz5swpNGbyscce89p11J2N89Zbby338byp0ha9tLQ0Ro8eDbgSpFSvXr3cZTRs2JCtW7dy3333ERYWhtlspkOHDixZskRL03qhUaNGaY8/++wzateuzfDhw5k+fTp///13kWxB4gL57xprsh31gjguYVE6tvN24u4KQ2/Wkf5X+X8xLqWcU3kYI6r8/oYQQgghRLmFhIQUWooL9Mxmc6GfH3/88UJBnpu/vz8TJ07Ufv7hhx+8luFtDJ8nz26WF2asd5dTWhkllVPZdbnYcspCp9Pxyy+/8NxzzxEbG4vBYCAuLo7XXnuNKVOmFNl+8eLF2tzhPXv2LPfxvKnSb7wvvPACSUlJdOjQgeHDh1e4nPr16/Pjjz+WeftBgwYxduxYJkyYgKqqJCUlMXXqVKZOnQpAWFgYXbp04f777+fee++VRCwXcroSrATVN5G+u3AgZ0txcPyHNMzVDeRlOXH4UIsegMPmROfne3fqhBBCCFH11AomPrnU1HLWyWAwYDabtRas3r17F7ttjx49MBgM2O12tm/frj3vOdVZaV0XLZaCOZEv7BLpLqcs3R+LK6ey63Kx5ZRVYGAgH3zwQZl6LXbq1EmbS7xOnToVOt6FqqxFb926dUybNg2DwcAXX3yBolzeX6rXX3+d+Ph47rnnniJ3Q9LT01m0aBEPPfQQzZs3L/SmFy5pO3Pwr+lH3MAwzDUvCIRVV8ZNXwvyANQ8FZ3R9z7AhRBCCFH1qn5i9OKX8vJMJlJS4hGz2Uy1atWAgrnfLtzHnfGyOJ7JSjyP61mOxWIpddoAdzlRUVGFvp9Xdl0utpwLVca8d+Hh4dSpU6fSgjyookDParXyxBNPoKoqzzzzDNdff31VVIN27doxd+5cUlJS+PXXX5kwYQJ33XWXlg4V4ODBg3Tr1o09e/ZUSR19VfZJG4nLzmOu7kfcgDD8Qnwir0+pnDZVWvSEEEII4VVVJ1wpLRlLeTRr1kx77HCUnBzPvd5gKOjs57n/vn37Stzfc33Tpk2LrUdJ5djtdg4fPuy1jKCgIC3Yuhx18VxvMBho2LBhidtef/31NGjQgKeffpoVK1aQl1c104ldqEq6bk6cOJH9+/cTFxfndbLyyy0wMJCePXtq/WHtdjsLFixg9OjRnDp1CovFwujRo/ntt9/KVJ6iUy57C2VVCKjlasnLPmXDnq2i6HzzNbuuh+t/R349/UL02LN8r8XxWuN5bYTvkOviu+Ta+Ca5Lr5LURUox5/7iraeXWoVqVOXLl1YuHAhAEeOHKFVq1Zet8vIyCA5ORmAWrVqac/Xq1ePmJgYEhMTWbt2bYnHWrdunbZ/3bp1C63znBTcM9PnhbZv3651l+zYsWOR9Z06dWLWrFns37+fM2fOFDsFgWddLyzHPXedzWZj7dq1vPTSS17LsNlsxMfHF9qnJKqqcvToUT777DM+++wzgoKC6NmzJ/369aNPnz5ERUWVuP+lUiWB3rvvvgvAbbfdxpIlS7xu477QFotFGxhavXr1SstCUxKDwcCgQYNo1KgR7dq1w2azsWrVKlJSUso0SXxknTD8dFd/Fs/gIBMhIQEEmp0Yu/uTdbj0QbZVQdEphMUEg6Kg6CE4KJhabfRYjvlmfa8lntdGdUoSJF8h18V3ybXxTXJdfFee0wZHy759RScnv9QqUqe7776b559/HlVVmT9/Pvfcc4/X7ebPn68lIuzcubP2vKIoDBgwgClTprBv3z7i4+O9Bmnx8fFa69eAAQOKNHZ069aN0NBQzp8/z4wZMxgzZozXBpFvv/22UN0vdNdddzFr1ixtW29BWnZ2NrNnzwZcrXeNGzcutD44OJgePXrwyy+/8Ntvv5GQkOC1W+u8efPIyMgoti4XOn78OIsXL2bx4sWsWbOGzMxM5s2bx/z581EUhXbt2tG3b1/69etHy5YtSy2vsihqJaSYXLNmjTb/3bhx40ptpatoa1fXrl21idAvl86dO7NhwwYAtm7dStu2bYvdNiMjg9DQULrr7sKgXN0JXALijMTcUZDeNy/LwfGZaVVYo+IpOoVqdcJIPp6O6lSpOySC83tySNvhWxlBr0UXXhvhG+S6+C65Nr5Jrovvsqt5rHYu4Pz584WmJbiQ+ztcv1+H4Rfoezfr8yw2Fvf6ptTXcaH777+f2bNno9Pp+PXXX+nRo0eh9WfOnKFt27YkJCRgNBo5cuRIoVa9AwcO0Lx5c+x2O23atGHdunWFMlDm5OTQpUsXtm/fjsFg4O+//6ZRo0ZF6uFOggjw3nvv8cILLxRav3nzZrp06YLdbi/2+35eXh5Nmzbl8OHDhISE8Mcff9CgQYNC24wcOZLPP/8cgOnTpzN06NAi5axatUo7D/3792fevHno9XptfXJyMq1bt+bEiROEhYVx5MgRwsPDvZ1er7Kzs/n1119ZsmQJS5cuJSkpCSiIf+Li4rSgr3v37pd0ijfJM18Kzze7Tle2/tGqU0VVru4P+uwEK7bzDoyhrl8MQ6DOp/+4qarruuiMYPDXkZfh8On6Xkvc10auh2+R6+K75Nr4Jrkuvqm87RlXU9dNcAVVq1ev5ty5c/Tt25fRo0fTp08f/P392bp1K2+//baWlGTChAmFvvcCNG7cmOeff5533nmH7du307FjR1588UUaNGjA4cOHeffdd9mxYwfgyqbvLchzr/vxxx85cOAAY8aM4dChQzzwwAP4+/uzevVq3nrrLex2O/7+/kyaNMlrGX5+fnzyySf069ePjIwMOnbsyKuvvkq7du1IS0vj66+/5qeffgJc3TyHDBnitZxbb72VBx54gB9++IFFixbRs2dPRo8eTUxMDLt372bixImcOHECcE3/Vp4gDyAgIIC77rqLu+66C3A1FC1ZsoTFixfz559/cuLECaZMmcKUKVMICAjQunjeeeedFZpqriRV0qJXFnXr1uX48ePUqVNHm1PiclNVlSZNmnDgwAEUReHs2bNaViJv3HeDujHgqm3RC2pgwj/Gj/RdOYQ2NRN+YwAASWszydibW8reVUPRKVSrG07ysTT8wnXUuTeCk/PSyD1rr+qqXfM8r418OfIdcl18l1wb3yTXxXfZ1TzWsLDMLXp3LBvusy16v9z+dblb9AC2bdvG3XffzalTp7yuVxSFV155hTfffNPreqfTyfDhw5k2bVqxxxg2bBhfffVViY0ihw4dok+fPhw8eNDr+pCQEL7//nv69u1bwquBr7/+mn/961/FzoPXrl07li5dWuJ39pycHAYNGsTPP//sdb1Op+O1116r9FwiCQkJWtC3evVqbfoLRXHl92jTpo3W2nfDDTdc9PGujFSJlaxLly7MmjWr1Iw4EyZM4MCBA4BrMGdJb5hrgWKAGj2CCWvuT93BEVqQB1wxmSztmU4cNieRNwdWdVWEEEII4WOqegqFypxewa1t27bs2bOHCRMmcNNNNxEaGorJZKJevXoMHTqUbdu2FRvkgSvo+eabb1i6dCkDBgwgJiYGo9FITEwMAwYM4Oeff2bq1Kml9nxr2LAhO3bs4N1336VNmzaEhYUREBDAddddx7PPPsuuXbtKDfIAhg8fzu+//87w4cOpX78+ZrOZyMhIOnXqxJQpU9i4cWOp39n9/f1ZunQp33//PT179qR69eoYjUbi4uJ48MEH2bBhwyVJGBkbG8uIESNYunQpKSkpLFiwgMcff5waNWrgdDrZunUr48aN46abbqJ27dqMHDmS3bt3V/h4FWrR27BhA4cOHdJ+3rdvn5ZgZcCAAVpTpZu3/rGluZQtetWqVdMSqwwYMIBOnTrRoEEDQkNDycrKYvfu3Xz33Xds3LgRAKPRyLp162jfvn2J5V7tLXqRNwcScWMAiT+fR/FTUB0qMbeHApCwOJ2cU76RSvZCF95pDaxjJOaOUE7MS8MqrXpVSu6C+ya5Lr5Lro1vkuviu8rbotfz5yd9tkVvRZ8vK9SiJ64M27dv11r73N1hFUVh3LhxjB07tkJlVmiM3tSpU5kxY4bXdQsXLtRSubpVJNC7lGJjY0lJSSElJYVp06aV2BRds2ZNpk+fXmqQd7Xzj/Ej4sYAUrZZsJwoaCrPOmYFFZ8N8ryx5+TnWS55ShkhhBBCXGNUKpbh8lKT2wdXvzZt2tCmTRvGjx9PYmIiixcvZsmSJQQEBJS+czGuyWQsO3fuZMeOHaxYsYJNmzaxd+9eTp8+jcViISAggOjoaFq2bMmdd97J/fffT3BwcFVXucoFxBnJy3KQ+nt2oedPL8uoohpVnCnSgKqq2M5La54QQgghhPAtMTExPPnkkzz55JMXVU6FAr1vv/220FwXl8KlTsDSqlWrYieOFEX5BV89wznN1Q3YUhyoEucJIYQQwsPVlnVTXNuuyRY9UX62dAfBDc34henJS7+y+zzmZTgJaqADBekLIYQQQgiNBHriUti5cyfr16/n6NGjZGZm4nCU/F1aURS++eabiz6uBHqiTDIP5BLZJpC6D0QAcPT7FILqmbCcsF1xgZ8tzY7eqENvVnDkSKQnhBBCCBcJ9ERl2rNnD48//jjbtm0r8z6qqkqgJy4ve7az0M/1HooEIOoWOL0ig6zD1qqoVoU4rK7gTmfU4ci5soJUIYQQQlw6EuiJynLw4EE6d+5MRkYG7kkOQkJCCA0NLXUqisoigZ4oIiDWD51JVyh4Ux2ubJUG/6JvzJo9QziWknrFtOzlnXe4plmobSR9d05VV0cIIYQQPkJVFVQfDKp8sU6iZK+99hrnz59Hp9Px4osvMmLECGrXrn1Z6yCBnigkqL6Rmr1cc+OdyCyYZy7mjlD0ZoXTy8+TczqPyPaBhDb11/YzRRqumEDPke3EcsxGUAOTBHpCCCGEEKLSrV69GkVReP7553nrrbeqpA4S6AlNYB0jNXqEkHnYin+MH8ENTVjP2gmobSSwtpFzm7PIOuqaQ+/cxix0RoXAOCM6ow6n1VlK6b5DZ1Qw1/BDdcj4PCGEEEIUcKL45Dx6vlgnUbKsrCwA7r777iqrw9WTM19cFP8YP2r0CiHrmI0zv2Wg2lWtm2bETQFkJ9pI31XQ+qXa4cyKTJLWZmE5biU78cqZMF1VQVHAL1iPMVxf1dURQgghhI9wj9HzxUVcWerUqVPVVZBAT4BigJq9QtDpFVfLnAqqXcVcww9ztAH/Gn5k7M31OhVB1mErib9kwJXToIeap3L0uxQcuU6CGpiqujpCCCGE8BHuMXq+uIgrS//+/QHYsGFDldVBAj0BKujNrrdCaDN/wq73xxhuIG1nNtXaB2JNtpN56MrJqlkWqgNyz9nxr+FX1VURQgghhI+o6lY7adG7ejz77LNER0fz3nvvceLEiSqpgwR6olCrVsb+XKq1DyR9dw555x34xxhJ3mq5KicWzzyQS0CsEWOkdN8UQgghhLToicoTHR3N0qVLMRqNtG/fnmnTpnH+/PnLWgdJxnKNM9cwEN09mPN7czi7LouQ68wENzKRvieHuoNdk6Nnn7BVcS0vjcxDViLbOQi/MYCklZlVXR0hhBBCCHEVadWqFWvXruXmm29m+PDhPPHEE0RFReHv71/ifoqicPjw4Ys+vgR617jwGwLIS3dwdq0rM5A+QIfDqhLa3IzqVDlzNQdAKqT9mU3ULUGk/ZGNLe3KmB5CCCGEEJeG6qPdJKVF78r0448/8sQTT5CVlYWqqqiqSlJSUqn7KUrlXG8J9K5RhkAd1bsFExDrR9KqgmBOb1Yw+OsIbeZP2s6cQpOmX40y9uYS2syfmr1CODk/HaftKuyjKoQQQogyUXFl5/Y1PlglUYp169bx0EMP4XS6MhbWrVuX66+/ntDQUHS6yzN6TgK9a5AhUEfcwDBUFRKXnic7oWBqhJzEPIIbOck6YiX1d0sV1vLyUB1wenkGcXeHUa1DoNayKYQQQohrjxMFxQfnrJN59K48EydOxOl0Eh4ezqxZs+jVq9dlr4MEetcIQ5COkCZmbKl2ghuaUVU4+VMajpzC94gsx2wcPZZSRbWsGnnnHaTvySG8VQCW4zYsx67OMYlCCCGEKJmvJj7xxTqJku3YsQNFUZgwYUKVBHkggd7VT4HqnYIIbe4a9JmX6cCR49SmVHDkyLg0gLSd2ZirG6jeOYijx1KrujpCCCGEqAJOVUHxwaDKF8cNipJZra7hTx06dKiyOsj0ClcxnUkh5vYQQpqYObshk7PrM/EL1pOX6cQvWE+d+yMIrGus6mr6BNUO6XtyMQTqMQTJr4UQQgghhKi4hg0bAlz2KRU8yTfaq1RAnB917gvHHO1H4i/nOb8nl/N/53L+7xyCPebNi2wXWIW19C2q3dWNVWeUu2ZCCCHEtUhVfXcRV5bBgwejqiqLFi2qsjpIoHeV8Y/xo9GIKGrdGYYtzcHxOWkFyVZUOL83F6ddJeuIlTMrMzBFGDDXkB684Dp3TruKLV26swohhBDXoqqeFF0mTL96PP3007Rp04bPP/+cX375pUrqUKFv+ElJSWzZskVbtm3bRkZGBgDjxo1j/Pjx5S5zzZo1/Pe//2X9+vWcPn0anU5HdHQ0LVu25LbbbuORRx4hKCjI676JiYm88sorLF26FIvFQtu2bXnttde47bbbSjxmXl4ec+fOZc6cOfzxxx+cPXsWgKioKKKjo2nWrBndunWja9eu1KtXr9yv6XILrGsk5vZQAFRV5dSSwk3Fih5q9g7Blmon9Y9s/Gv6ARB3VzhHv0/Bnum87HWuTDqjQviNARjD9Ch68K9lJDcpj8SlGWXa3xhuwJZqhyv7NAghhBCignw1qPLFOomSnTlzhqlTp/LEE0/Qr18/HnzwQe69914aN25c6oTpALVr177oOlQo0KtRo8ZFH9gtMzOTxx9/nNmzZ3tdd+jQIebPn88tt9zCjTfeWGSbxMRE2rdvT0JCgvbcunXr6N27NzNmzODhhx/2etyDBw8yaNAgdu3aVWTdiRMnOHHiBNu2bWPGjBkA5OTkYDabK/gqL62AWD+qdQjCFGnActxK9qk8LMeLZo4MbeaPX5Ae1a4Se3cYOr3rQyM7wYbDcoVHNzqo1TcUvzA9uWfsqA4V1a5iqlbGt7jOdR4tJyTjphBCCHGtkmQsorLUrVtXm/hcVVW+//57vv/++zLtqygKdrv9outw0X326tevT2xsLOvWrSv3vhaLhTvuuIONGzcCcPvttzN48GAaN26M0+nk+PHjbNu2jTlz5hRbxrPPPktCQgIdOnTglVdeITw8nJ9++olJkyYxYsQI7rjjDiIjIwvtk5qayq233qoFh127duXhhx+mWbNmBAQEkJaWxp49e1i9ejXLli0jJyen3K/tcgluZKJGjxAAzm3KIn1X8XWN6uhqEbVnOTn/dy4Z+3JBB87cK7/jd7V2gZgiDZycn4412fWLEdrMTFRn763AFzJX90Nv0pG+23evtRBCCCEuLV8dD+eLdRKlUz0unFoFF7FCgd7YsWNp37497du3JzIykjVr1tC9e/dyl/PCCy+wceNGdDod33zzDUOHDi20/pZbbmHw4MF8+OGHOBxFx01ZrVYWLlxIXFwcK1asIDDQlVikY8eOOJ1OJk+ezNKlS3nkkUcK7ffOO+9oQV5xXU27d+/OqFGjyMzMZPr06ej1+nK/vkstuJGJ6O7BZB7MJXmrpdSulzlnXGP1LuzSeTUIbmQiY3+uFuQBKAYFVDBXL/1tHljHiN3iwHr24u+eCCGEEEKIa9v06dOrugoVC/Ref/31iz7wzp07+eKLLwB47rnnigR5nhRFwWAoWtWUlBSsVivt2rXTgjy3Hj16MHnyZE6dOlVkvwULFgAQHR3N2LFjS6xncHAwTz/9dCmv5vILbWGmeqdgMvblkrQ2E8pwkyBhUXqZtrsS5SbZMUUVfo9k7MsltJmZWgNCydmuwLFidtZBUD0jOafzLnk9hRBCCOG7XC16vtdNUlr0rjyPPvpoVVeh6rJuTpkyBVVVMZlMvPTSSxUqIzw8HIPBwPbt28nOzi60bs2aNYD38YQnTpwAoF69euh0V0biUZ1ZwVTNgF+YHkUH4TcGkHEgl6Q1ZQvyAFeSkav0g8JucWAMLdzq6rSpJK3ORFEUFL/iP7RDm5jxC9WTuiO72G2EEEIIcfWr6syaknVTVKYqyauvqipz584F4NZbb9XG0NntdhITE1FVlRo1amAymUoqBn9/f3r37s3SpUvp1asXL7/8MuHh4SxYsIBJkyYREBBAnz59iuxnNBqxWq0cOnQIu93utbXQVygG19i6kOvMKDrXL3lOUh5+QXp0dRQUHahXeB6VyuC0g86owy9UT955L9MjFBPgKgaIaBNI5gErthSZVkEIIYS4lqn45j1xX6yT8H1V0px16NAhUlNTAejQoQPJyck8+eSTREREUKdOHerWrUtoaCi3334769evL7GsSZMmERkZycaNG+nbty8dO3bk/fffR1VVPvnkE6Kjo4vs06pVKwCSk5MZPXo0NlsVZlpUIKSpmfCbAgiobURnUoi8OZC4u8OIvDmQOg9EENrUn7SdOZz4KQ1buh2/ED22NDt6k04m986X+rsFZ55KcMPCNwdyz9rJPZdHtQ6BmCKKBvShzf0xBOhI2Wa5XFUVQgghhI+q6lY7adETlalKAr2///5be6yqKtdffz1fffUVmZmZ2vNWq5Xly5fTtWtXPvjgg2LLatiwIVu3buW+++4jLCwMs9lMhw4dWLJkCcOGDfO6z6hRo7THn332GbVr12b48OFMnz6dv//++7JmxalxWzDRXYOJuCmAWn1CafBYNcKamdH764i4MQC/IFd3xJxEG/YsB8YwAwZ/HcZwV9Biqu532erqy1Q7WI5bCYg1XrACEpdmoDfqCKhdNNCLaBWAPduJPUuaRYUQQohrnurDi/BJAwcO5M8//7wkZefm5jJp0iS++uqrCu1fJYGeuzUP4K233uL06dPcfvvtbN26ldzcXM6ePcuUKVMIDQ1FVVVeeOEFlixZUmx59evX58cffyQtLY2cnBw2bdrktcum26BBgxg7dqw2t0VSUhJTp07lH//4B82bNyciIoIBAwYwc+ZM8vIuXYIOvzA9wQ3MnN+bw+GpyZxcmM65TVkcm5XqSrDiIS/LiTNPxZbuygqZnWjDmmKnVp9QItoGXLI6XkmsyXZM1QzoLhiP57Sp5CbbCahjQvEYxhfW0h+9Wce5jVmXuaZXP/8YPwxBV8b4VyGEEEKIilqwYAE33XQTAwYMqNB0c96cPXuW999/n3r16vHvf/+bM2fOVKicKvkmZrEUdJOzWq307NmTJUuW0LZtW0wmE1FRUYwYMYIlS5ZoyVJeeumlSm1pe/3114mPj+eee+4pMhYwPT2dRYsW8dBDD9G8eXO2b99e4eMEX2ci/KaigZiiA0UBe44TNX9oWO7pPNJ35eDIUck5lcfh6a7gL2lNJnkZDlQ7nFyQjsPmxGlVcVhdrVCRrQMJrGMscoxrTeYhKzo/hcB6Rc/F+b9yMEUYqDM4gpAmZgzBOqp1CCRtZzZZh61VUNurW3ADE/4x0toshBDiCuMDXTS9dtuUrps+6z//+Q8mk4nFixfTvXt3ateuzZgxY4iPjy/X8LBTp07x3//+l9tvv53Y2FheeuklkpKS6NSpE/fcc0+F6lYlWUjMZnOhn999912v89R16tSJgQMHMnfuXP766y92797N9ddfX2n1aNeuHXPnzsVisbBp0ya2bNnC77//zrp167RWx4MHD9KtWzfi4+Np0aJFmcsOuc5MeCt/jGGuU5x5MJfItoH4hegxBOrwCy54vZ5zv3lyWlVyT+eR65H235mrkr4rh8g2haeTCGpownK8Csca+oCAOFeAZ00pej6t5+wkL84kqmMg0d2CsVscOPNUUrbL2LxL4ex6aSUVQghx5ZEJ00V5TZgwgSeeeIIJEyYwY8YMEhIS+PDDD/nwww/x8/OjZcuWtGrViurVqxMeHk54eDg5OTmkpaWRlpbGwYMH2bZtG2fPngUKJlZv3rw5b7/9Nn379q1w3aok0AsODtYeR0VFaclRvOndu7eWoXP79u2VGui5BQYG0rNnT3r27Am4sn8uWLCA0aNHc+rUKSwWC6NHj+a3334rU3nV2gcQdVMwmUesZOzNpVqHICJaBRDS2Iw920nm/lyceSqR7VzBmuWITcuoWRZpO3PQmxTMNfw4t8GColfIO+8oVxlXo4hWAWQcyiUvzVnoXCg6BUUBW6qDxJ8zqNU/FIfNScbuXHC6Mpe6/gHFyw0Hb1RHJWfovEZTp7qvzbX+3vU1cl18l1wb3yTXxXcpquKaXqqMfDXxiS/WSRSIi4vjq6++Yvz48Xz22WfMmDGDxMREbDYbv//+O3/88UeJ+7uDOz8/P/r3788TTzyhxSUXo0oCvbi4OO1xbGxsmbd1R7qXmsFgYNCgQTRq1Ih27dphs9lYtWoVKSkp2lQQJYntEI1lrwPHIQcGxUBwYDDGBv6YQ/zIzbOTdU7Fz6AQEhICQLW6Tpz2ct6qOQ25pyE4MD9oNpe8+bUgMjac1LMWqtUt3GVQ0SmExQSDoqA6VXJ+B9BjJhBz3fyW0fzxmlUX6F2bt+ouvDbCN8h18V1ybXyTXBfflee0wdFy7OCr3SR9sU6iiJiYGCZOnMibb77Jhg0bWL16NevXryc+Pr7Q0DVPjRo1onPnznTu3Jk+ffoQFRVVafWpkkCvWbNm2mNHKV+YPddf7vnubrjhBtq1a8eGDRtQVZUjR46UKdBL2p9C8m+5AOgMCmEWPZjg/MEMkjdatK6aqZ+nozMq2NJl/rbK4H9cxW5ykpKQgerRe1PRKaCqJB9Pd/0Bzm+903m+n/TlbNFzum4Pqnneu92Wl2q/dEl/fFmRayN8glwX3yXXxjfJdfFddrV8f1+l66aoDIqiaMGbW1paGufOnSM1NRWz2UxUVBRRUVEYjZcuz0aVBHphYWG0bNmS3bt3c+zYMZxOp5Z05UKHDx/WHteqVetyVdHrMYur44XOrstCcboCBodN5ey6TPQBOtL+yC7UQy8vSwK8ypQSb6FmrxDqDYkkY18uyfFZWqIbVQXVqaI6VXSm/BY/o0fLnzvA8wz0SuiCo+T/IVed2UVXVuCPvNYl4xrswul5bYTvkOviu+Ta+Ca5Lr7pck6ZJURJ3OPzLqcqCfTANefE7t27ycjIYNWqVdx2221et5s3b5722DMqvhxUVWXHjh2AKzKvU6dOmfZzWJwYPPL4n/8795LUTxRmOW7j2A+phDQyE946AKddJWVrDigKil7naq1TVBQ/19teMXtkW3W37ikewV1JgX3+Hw7FMzCz5d81LFujYKW1BgohhBCikvjqnHW+WCfh86psoquRI0dqSVmee+45MjIyimzz3XffsWbNGgDuvPPOUsfzlVWXLl2YNWtWqXPkTZgwgQMHDgDQsWNHqlWrVinHF5eOPdNJ6o5cLMds+NcoaLFTdHrXote7gjqDAYxGj8XPtZhNBYvJ6Fo8n7tgnWIyaQt6fdkWRSkcUAohhBDCJ1T1NAolTrEgRDlVqEVvw4YNHDp0SPt537592uOdO3fy7bffFtp+6NChRcqIiorinXfeYeTIkezevZt27drx4osvcv3115ORkcG8efOYMmUKACEhIXz88ccVqapXf//9Nw8++CCjRo1iwIABdOrUiQYNGhAaGkpWVha7d+/mu+++Y+PGjQAYjUY++OCDSju+uPSM4Xpyz0iLmRBCCCHKSVrPxFWiQoHe1KlTmTFjhtd1CxcuZOHChYWe8xboATz11FOkpqYyfvx49u/fzz/+8Y8i20RFRbFgwQIaNWpUkap6FRsbS0pKCikpKUybNo1p06YVu23NmjWZPn067du3r7Tji0vEPUWCDkwRBtJ356Lo9a5B8no9GPSgguIem2fw6GPpHgirL2jkVt2tbu6nPFvhHPldNz3GYihagpYyDvz2NgZQ8WhkvwbH6wkhhBBVyVdbz3yxTsL3VdkYPbdXX32V22+/nc8//5zVq1dz+vRpTCYTjRo1on///jz99NOEhYVV6jF37tzJjh07WLFiBZs2bWLv3r2cPn0ai8VCQEAA0dHRtGzZkjvvvJP777+/0Lx/4gqgU1BVFb8gPYpedcVnfn4oRqPrLp17PJ5H1k3VlP9YV8ZATxuj53HbLz8wU7wN/PZ4TnUUDeDccy/JIH4hhBBCCFEZKhToffvtt0W6Z16MNm3alNiqdim0atWqxInaxRXCowXMHSwpih7LsTzCW5lJ35cNTlAMelcSFpWCljw/j0DPz/Wc6pl1U58ffLkDPM+bae54zCNm07mDOc9Az51wxV6BbqTu1yYte0IIIcTlIclYxFWkylv0hKgQrZtmQfSlzYFnMJB7TiWwNmAwuuIzgwH8/FwflH6urpvu4M7zscPs8StxQYCnerToeW21y1c4w1HRjKtad0/POSTz6646ZVyhEEIIUXUUCt/Z9RW+WCfh6yTQE1clQ7AOe47qCuzks1EIIYQQZSEteuIqIoGeuLJ5Ji/JbxUzhPoR0shAxkEnir/Z1TAX6A/BTlDBaXYlXnEGFEy/YItwzalnDfVo5XMHiMoFPwNK/geuPrfgk9dgNeU/V9DV0i/D5to+r6D1zv1YsXm03p0553rOkVVwfBmvJ4QQQlxeEuiJq4gEeuLK4W08nmfXTYMBdBB1sxFnHqQf1EOAPyigmv1wBppQVbAHuwIyW1hBoGep7grw8jzy7pQp0LMVPKm3uurnGfyZ/V3P6fIKntPZXY91toKA0JiaXuQ1gqPoczJeTwghhLh0VKXwH3xf4Yt1Ej5PAj1xZXIHPx6ZMxWTkZpdFUyRcGa7H6qfHmeQP6HROcQ0TyNN7092jhlbqGuf7OoFAVRONdf/ecEet8zKEOjprB6BnqvxDr/Mguec+fVzB3eux67//c95TMOQP72DNvUDoOZ4jOETQgghhBBXjAceeIB//OMf9OzZE0WpmkBdAj1xxSjUeudu0fMrCIz8Iv0wRzlI2htIjtUIQaCvoaNavSx0Sgi5wX7kBhi0AC+3WkHZ1sj8oCq4oDul4o7mlAt+Bpz5UZ/DVtDVMy/XVa7DWPCc0z1rg92j7vmHMp33aKnLfx2K2VSwnc0VCKoOCfiEEEKIy0FVCyfP9hW+WCdRstmzZzNnzhxq1arFo48+ytChQ2nQoMFlrYOu9E2EuDLYc8Bph4CIPAxmB6ASEpINgMVuJMdpKrkAIYQQQlzbVB9exBUlPDwcVVVJSEjgrbfeonHjxnTt2pX//ve/ZGdnX5Y6SIue8H3ubpqeY9Xyu0RqXR0V0AebsGXlEhxtIzjaRnpyAGGRrl+ks8YQsqN0qEBOtGsXW7WC1jtTtRwAIoIKfvF0+S147pY8nZcWvWybUXsuI8sMQJ6+IKBU8+fsUzxa9Exp+WUYPJrx8+f082yhdL+2Ql04ZW49IYQQ4tKRMXqikpw+fZpFixYxffp0fv31VxwOBxs2bGDDhg2MGjWK++67j8cee4xbbrnlktVBAj1xxfA6Z56fH4ExTqrd6ERnyEZ1gsOhYM3zwz/UNWjOrupIjjCTE5iHCliruwK8oCiLVl7DyGQAagekFTmuTnHm/1800Eu1BWrPHTVGAHBWX5DRxWpwBX2egZ5fpuvXzjPQU03eAr38cXu2grF8WjdOSdAihBBCVDpFLRiH70t8sU6iZEajkUGDBjFo0CBOnz7NjBkzmDFjBvv37yczM5Np06Yxbdo0GjVqxD/+8Q+GDBlCzZo1K7UOEugJ3+Qlw6Z7+gRAawHTBZuodoOFnBQ96dlhWLP9SI8NpLoxnVi/FABO+YdhjXRis9tRKQjwmkSd1YprE3YMgIampCJV0eMKpPQen7KO/EDviK269pxJ7wog/XQFLXBJ+UFfdrq/9pya/1vnNHoEevkTtiumghZCJc8V4Ck2W8F2kqBFCCGEuHR8tZukL9ZJlFnNmjV56aWXeOmll9i8eTPTpk1jzpw5ZGRkcODAAV5++WVeffVVevXqxbBhw+jXrx8Gw8WHaRLoCd+XH/QpHoGeYnK1lIU0dIAOko8FkxUTAiGQG6HD4MwDFew6hcOxocSG5eJPDioFrXfu4A6ga+A+AK7zKwiq9BfMtK7z+DkvP/iL1Be0CpoVV2Bm1BV0CTUbXI/3Zpq155z5jXZOj98+d6DnDmBdj/MTtBg9gj+r1bW9zLEnhBBCCHHF6dChAx06dOCTTz5h7ty5TJ8+nbVr12K32/nll1/45ZdfiIyM5OGHH+axxx6jZcuWFT6WJGMRPk/RKa5WPb2+YPEzoAvQExpj5fy5QPKM/lhDdFhDdNjDHNRQMwDY0yicvJp5hAbkEBlkITLYQu2ANGoHpNHQlKQtjfysNPKzcijPT1v25xnYn2fgoF3PQbueQ3a0JdPpINPpIEpvKVgMmUQZMon0s2hLiJ+VED8rpkCbttj9Vez+KnkBirbYg43Yg42oiqIt6HWg16Ho9UWWC05Q4UUIIYQQFeMeo+eLSyUaM2YMiqJoy5o1a0rdZ9myZQwcOJDY2FhMJhOxsbEMHDiQZcuWlfm42dnZvP/++7Rr146IiAiCgoJo2rQpzz//PCdOnChzOX/99RcjRoygYcOG+Pv7ExUVRZcuXfjyyy+x2+2lF5Dvhx9+oHfv3tSsWROz2UzdunUZMmQI8fHxZS6jovz9/RkyZAirVq1i1apV1KhRQ1uXnJzM5MmTufHGG+ncuTM///xzhY4h3wrFFSsoxomiU0k7F1joeX+Hq2XNgcKZKH9vuwohhBBCFFXVmTUvQ9bNP//8k48//rjM26uqypNPPskdd9zB/PnzOXXqFDabjVOnTjF//nzuuOMOnnzySdRS5oA4fPgwN910E2PGjGHbtm2kpaVhsVjYt28fH374Iddff32ZAppvvvmG1q1b8+WXX3L48GFyc3NJTk5m/fr1jBgxgs6dO5OSklJiGbm5ufTr14/Bgwfz66+/cubMGaxWK8ePH+e7776jY8eOTJgwocznqCJyc3OZOXMmPXv2pEePHiQlJaGqKqqqUr9+fYxGI6qqsnHjRvr168c999yDNb9nV1lJ103hkzwTr2hdNz37KptMBMVlkWXxx2Z2dYvMDXdtlxntxxFdGKdCg6kWkYmiQoTZiWLIQlUgzpwKQF2/gg+B9PyukGstTYrUxZ2MxVOwLheA3oEHCp7T5+T/n6s9F2Bw/UKG+Bc8dy4wAIC8wIKWOVuw67UZS7v14j4XuqJ39qQ7pxBCCHGRrvIxek6nk+HDh2O326levTpnz54tdZ9XX32Vr776CoBWrVoxZswYGjRowOHDh3nvvffYsWMHX331FVFRUbz55ptey8jKyqJv377s378fgOHDh/PAAw/g7+/P6tWrefvttzl//jz33nsvmzdv5vrrr/dazvLly3niiSdwOp1ER0fzn//8h/bt25OamsrXX3/NvHnziI+PZ+DAgaxevRqdzvsXq2HDhrFkyRIAunfvzjPPPENMTAy7d+/mrbfe4vDhw4wdO5aaNWvy+OOPl3qOymPLli1Mnz6dH3/8kYyMDC1ADgoK4r777mPYsGF06NCB8+fPM3PmTCZPnsyBAwdYsGAB7777LmPHji3zsRS1tPBblFlGRgahoaF0YwAGxa/0HURR3sbj5U8zoAsO0p7zqxdC7I3nOZ5anYxcV4teSnNXsJTTtCCoalb7NIoK15ucZPqlg6LSKcQVnHX1P6Vtt8TimsDyl+Si/aB1+Z+uNmdBnYL8XAHcv2su157LdLoCzt25sdpzf2fHuP5PK2iOP3bKNVO7+WjBNAwhR1zHCD1UML2D4XS664GlYBygMyMLwPsk6vnZN6+kCdYVnUK1uuEkH0uTQNWHyHXxXXJtfJNcF99lV/NYw0LOnz9PSEhIsdu5v8PFfTABnb+52O2qijMnl5PPv1bq6yjNpEmTePbZZ2nSpAl33303b7/9NgCrV6+mW7duRbY/dOgQTZs2xW6306ZNG9atW4e/f0FvqezsbLp27cr27dsxGAzs27fP66Tg48eP5/XXXwfgvffe44UXXii0fvPmzXTp0gW73U737t1ZtWpVkTLsdjtNmzbl0KFDhISE8McffxQ51siRI/n8888BmDFjBo888kiRctauXau91n79+jF//nz0Ht87k5OTad26NSdOnCA8PJwjR44QFhbm5WyW3ZkzZ/jf//7H9OnTtWDXHYK1b9+exx9/nAceeIDAwMAi+zocDgYPHszcuXNp1KiRtn9ZSNdN4fO0cWl+ftoSEmcjz6Yj2RiMLUSPLUSPPRDsgWAwObSlZkAGNQIyiDaeJ86cSpw5lbp+ydT1S+a8E21Zn96Y9emN2Xu2urbsO+da/j4Xzd/notl3trq27EqKYVdSDMuzWmhLsC7XtegLliC9lSC9FX+/PG0xBdkwBdnIC1QLliDFtYQYtQWd4loUjyX/OcVjEUIIIUQlqepxeJdwjN7Jkyd57bXXAJgyZQpGj2Rvxfn444+1MW+ffvppoSAPICAggE8//RRwBWKTJk0qUkZeXh6TJ08GoGnTpvz73/8usk2HDh0YNmwY4Ao6f//99yLbzJ8/n0OHDgHw8ssvew0o33//fcLDw7XH3rz33nsA6PV6Pv/880JBHkC1atV49913AUhLS+Obb77xWk5p7HY78+bNo1+/ftSuXZuXXnqJffv2oaoqkZGRjB49mj179rB582aGDRvmNchz1/P5558H4NixY+Wqg3TdFD6pUADj/gV0t+z5qQSFZ5N8LpS86gX3KuwB+U3f5oLMmdHGDFAVaupsqMZkUFTq5HenXJjVSNtuT4qrxS37rMcvmbsKDtcDz7nwrH6uY20Ia6g9d5P/MQCCdTnacwF6V10CDAVz4ZmNrsfnAwu6hLq7cdqCCz5sTKGuLp46S0ErH0p+HQpNP+FuyUMIIYQQwqunnnqKrKwsHn30Ubp161ZqAhZVVVm4cCEATZo04eabb/a63c0338x1113H/v37WbBgAZ988gmKUvCdac2aNaSnpwPw6KOPFtudcujQoXz55ZcAzJs3j9atWxdav2DBgkLbehMQEMB9993Hl19+yZ49ezh48CCNGhV838vKymLlypUA9OzZk9jYWK/lDBw4kJCQEDIyMpg3b57X4LQ0NWvWJDXVNVxIVVV0Oh09e/Zk2LBh3HXXXfj5lb33X2RkJEC5Es2AtOiJK5Ax2IlOB1mZkmhFCCGEEJXHPWG6Ly4XY/bs2SxZsoSIiIhiW7oudPToUU6dcg1z6dq1a4nbutcnJCQUaXVav359ke28adOmjdaqtWHDhiLr3eVcd911hTJUFlcXb+Vs3bpVS2hSUl2MRqMW2G7dupW8vLxity1OSkoKqqoSFxfHuHHjOHLkCMuWLePee+8tV5AHEBERwbhx48o1Pg+kRU/4GK0lz7PFSl94jjmdyfVppwYo5AUU7Os0u1q2gs0FGYlqGtNBVYjBhsEvGUVROZ/fkLbpfEFrXMpZV393U1LRXwklv6VM5/E77p4L70BEwYTpK0Jd4/t6huzWngvKT8xi1hfsbNTnFxhYcFfGrrXoFdwBs4e4xggYz3i23rkeq46iCWKEEEIIcZGuwmQs6enpPPPMMwC8++67REVFlWm/vXv3ao+bNCmarM6T5/q9e/dSr169cpdjMBho0KABu3btKrQPuFriEhISKlQXT+V9Tb/++it2u52DBw/SrFmzEre/0KBBg3j88cfp2bNnoRbOiggPD2fcuHHl3q9CgV5SUhJbtmzRlm3btpGR4Zq3bNy4cYwfP77MZR0/fpwpU6awYsUKDh8+jMViITg4mCZNmnDHHXcwYsSIUt+QiYmJvPLKKyxduhSLxULbtm157bXXuO2220rcLy8vj7lz5zJnzhz++OMPLfNQVFQU0dHRNGvWjG7dutG1a9dCb1hxGRTqupkf3Bhdb9fsTD259jyqRZznREBBghb8XQFUiKkgGUuwPtfVdRMHAQYriqJqXTbd3TUBDEmufur+Hsmn3Mk23QGeLq/gU9ZhdNUvLbKgVTE+vA4ANwQcLzh+fnbOQH1Bd1KTnyvA05sK+lrmBbrKzgvymJQ9JD8TZ2hwQaWy8hOzeJ4f6bIphBBCXBPc37fdTCYTJpOpmK1dxowZw5kzZ7jlllu0cXBlcfLkSe1xcV0c3eLi4rzu5/lzYGBgqUlN4uLi2LVrF+fOncNqtWqvLSEhQUteUhl1qUg55Q30Zs+eXa7tL4UKBXolNZeWx8yZMxk+fDjZ2dmFnk9LS2Pz5s1s3ryZyZMnM3v2bG699VavZSQmJtK+fXstygdYt24dvXv3ZsaMGTz88MNe9zt48CCDBg1i165dRdadOHGCEydOsG3bNmbMmAFATk4OZrPvZWG6ailFx+ipfvn/A2n2IKoZz+Mwq9q2erMrgIowFbyfahjSUVWFrLxg8pyuTd0tee5WPIDgJNf/gacLoiZ9fmCns+X/by9oRXP4uYJPa0RB0/up/MG/q0Kbas/dGua6c+TvGejp8wM9Q0F5tvzxeoWnXHA9NocUvO90BYlChRBCCFHJFC6+m+Sl4P5W5Bl8QOkNLBs2bGDq1KkYDAa++OKLcrUsZWZmao+DgoJK2JJCiUSysrK8llNaGd7KcQd6lV2Xiy2nLP7xj3+gKApvvvkmNWvWLNM+586d48UXX0RRlAongfF00V0369evT2xsLOvWrSvXfps3b+aRRx7B4XCg0+l49NFHGTBgADExMZw4cYIZM2awePFiUlJS6N+/P3v27KFu3bpFynn22WdJSEigQ4cOvPLKK4SHh/PTTz8xadIkRowYwR133KENYHRLTU3l1ltv1YLDrl278vDDD9OsWTMCAgJIS0tjz549rF69mmXLlpGTk1PkuKISeXTTLJgnzuM5d3dFv4IgKEuno6bOid4/j9z8Lp2hQa7Wszj/NG27GEMGqqpwNKc25FlBUTmRFeY6RkbB29+Yf4PMnFLQxVKX5wq+FJsr+NPZCrpaOvNbF03pBYFedpqrVfBohsf7zXUogvQF3UndiVn8DAVBpdXkOpbDXPAa7fnxnSOg4Bj6INeHjpp+HiGEEEJUskrKcFnp8ut08uTJQtMrlNSaZ7PZeOKJJ1BVlWeffZaWLYtOIVWS3NyCHlKlZej0rMeF35vd5ZQly2dx5VR2XS62nLL49ttvURSFf//732UO9DIyMrT9qizQGzt2LO3bt6d9+/ZERkayZs0aunfvXq4y3nrrLRz58319+umnPPXUU9q6tm3bcs899/Dvf/+bjz76CIvFwkcffcQnn3xSqAyr1crChQuJi4tjxYoVWuTdsWNHnE4nkydPZunSpUXm0HjnnXe0IK+4OyHdu3dn1KhRZGZmMn369CKpV0XVyna6fvlCcq1aoCeEEEIIcTULCQkp8zx6b731Fnv37qV27doVGt/l2ZPNZrOVsCVaghOgyBQM7nJKK6Okciq7LhdbzpWiQt+Q3RMeXoyNGzcCrnShnkGep7Fjx/LRRx8BsGnTpiLrU1JSsFqttGvXrsjcEz169GDy5MlatiBP7vSs0dHRpWavCQ4O5umnny719YhKphQdo+f0K2jlyzH5kafqCXbkcibA9UsbZnbdbYkwFEwwnqsaXF03HSacDjMoKjl5rjs4OlvBMfTu7pm2glY292MlvyVPyStY5+76oM9VPbZ3PWexFdwhSra7PowDPLpumvO7bnq26CmG/AQzHvcTnAalyOvmIgfzCiGEEKIEV0kyln379mmToX/66afFztFWkuDgghwBpXVdtFgKvntd2CXSXU5Zuj8WV05l1+Viy7lUytP6WRZV1hTijqJLSnISGhpKtWrVSE5OLhRVu4WHh2MwGNi+fTvZ2dkEBBSkYHTPDeJtPOGJEye0Yxc3l4eoYoW6buaPzTMUPOcwKmTZTYRYrejyk5oEG13vEQcFwVC204iqKuSqftidpvxALz97p2egl99NU2ct6J6pBXju5xwegZneta/BWvDJq8911c9iLfjlTLW7PljNHik73Rk4zYaCY+nygz6nx2+k+7E74CtEAj4hhBCi8l0lgd7HH3+MzWajfv36ZGdn88MPPxTZZs+ePdrjVatWcebMGQD69etHYGBgoWQlnrkwvPFMcnLhOMLY2Fi2bNmCxWIhPT29xIQs7nKioqIKdZ2szLp4ltOmTZsKlXOpuBvCKisfSpUFeo0aNWLnzp0cPXq02G0yMjJITk4GoHHjxkXW+/v707t3b5YuXUqvXr14+eWXCQ8PZ8GCBUyaNImAgAD69OlTZD+j0YjVauXQoUPY7XYMBun65ysKTZTulv+c0yPQc+rB6jTgn5eD3lg47WS2o+CDwaLmB3pOI7b8QC/P7gocdR5zTurzAzbFWhCQaQGee+4UjykN3FM+eE65oMtvtLPZCt5PKXmuQM/kcbDA/AnbjYUCvfxJz/0KPsmdfkqh1+86sAR4QgghxKVSGXPWXQrlrZO7geTIkSMMHjy41O0nTJigPT569CiBgYGFskzu27evxP091zdt2rTQumbNmvHTTz9p2xU38brdbufw4cNeywgKCiIuLo6TJ09edF28bVdSOQaDgYYNG5a4LcAbb7zh9fnPP/+c6tWre13nZrVaOXz4MIsWLUJRFG655ZZSj1cWVRbhDB8+nJEjR5KSksIXX3zBiBEjimzj+ab75z//6bWcSZMmER8fz8aNG+nbt6/2vKIofPLJJ0RHRxfZp1WrVqxbt47k5GRGjx7NRx99VGlNpKKSeAY07mQsHo18qsGVBdOpL8hemetwvZ1znAXX0uI0gaqQ6/Qj12kERcXucAVpHr0pta6bSq5H5OYO8Oz5gaRHix75Nwd0do8WvfxG59zcgl+r83muPt1Gj0DPL3/eBnf2TSh4DXmGgvJUfRmDOi2ZjcyzIIQQQlyUq6RFrzLUq1ePmJgYEhMTWbt2bYnbupMy1qpVq0jyxE6dOmmP165dW2ygt337dq27ZMeOHYus79SpE7NmzWL//v2cOXOm2FYvz7peWE7btm0xGo3YbDbWrl3LSy+95LUMm81GfHx8oX1KM378+CJZTVVVZcqUKaXu67m92WxmzJgxZd6nJFXWb/GJJ57ggQceAGDkyJEMHz6cxYsXs337dubNm8fAgQP54IMPAPjPf/5T7Jx4DRs2ZOvWrdx3332EhYVhNpvp0KEDS5YsKXaukFGjRmmPP/vsM2rXrs3w4cOZPn06f//9tzZPh/AxiqItqqIS7MjFEmJAr3Oi1zmxO3XYnTqyHX4Fi9NEttNErtNAtsNItsOIw67DYdehy6NgsTrRWZ2Qay265OW5FrujYMl/TmdXPRZXK6Fq02tLutXftdgCtOV8nj/n8/wx6+3aYjQ4MBocOPVoi5s7AZiqFJwDRafTFiGEEEJUEtWHl3L49ttvUVW1xMUzQcvq1au1592BmqIoDBgwAHC1brkDnwvFx8drrV8DBgwoEux069aN0NBQAGbMmFHs9+xvv/1We3z33XcXWX/XXXd53dZTdna2Nn9ds2bNivQIDA4OpkePHgD89ttvxXYDnTdvnjZnobe6FMfz/CqKgqIopV4HVVUxmUzUrVuXhx56iM2bN3PDDTeU+ZglqbJviQaDgZkzZzJr1ixatmzJ1KlT6d+/v5Zxc/78+XTv3p1ff/2VN998s8Sy6tevz48//khaWho5OTls2rTJa5dNt0GDBjF27FjtjZiUlMTUqVP5xz/+QfPmzYmIiGDAgAHMnDmTvLy8YssRVSfAmYe/aic1UlpihRBCCCEuhdGjR2tDnEaNGlVkmoGcnBytAcVgMDB69OgiZRiNRi2x4d69e7WGHE+bN2/WphPo2rUrbdu2LbLN3XffTYMGDQB4++23tW6enl544QXS0tK0x948//zzgKur6MiRI7VZANySk5N58cUXAQgLC+Pxxx/3Ws6FnE5nocUd0O7Zs6fIuguX7OxsDh8+zP/+979KC/KgCgM9gP379zNr1qxCg0E9bd68mRkzZnD69OlKP/brr79OfHw899xzT5E5SNLT01m0aBEPPfQQzZs3Z/v27ZV+fFEOWiteQctWpCMLBwrJof7YHXrsDj06RUWnqOQ4/LTF4jRhcZrIdfqR7TSS7TTitOtw2nVaC5zO7sqwqbM5wGbTFtWWd8Fi0xZ3i56S5yxYHKA4QJer05bMPBOZeSbSreaCxeZaPPkZHK4snH5ObSnzVD46xbUousJzEgohhBCiXNxj9HxxqQqNGzfWAqPt27fTsWNHfvzxR7Zv386PP/5Ix44dte/JL7zwAo0aNfJazgsvvKC1ro0ZM4Ynn3yS1atXEx8fz9tvv02vXr2w2+34+/szadIkr2X4+fnxySefoNPpyMjIoGPHjvzf//0fW7duZfny5QwaNIjPP/8ccHXzHDJkiNdybr31Vq1X4aJFi+jZsyeLFi1i+/btTJ8+nZtvvllL3PjOO+8QHh5eoXNXu3ZtateuXaXDw6psjN769evp378/6enp1KlThzfffJOePXsSERFBUlISixYt4tVXX+X7779n7dq1/Prrr0UGVF6sdu3aMXfuXCwWC5s2bWLLli38/vvvrFu3jtTUVAAOHjxIt27diI+Pp0WLFpV6fFE+nh9y1fIspBkCsNkNkD/UzWJzBexOj8F82U4jqApWp4EchwEUUB35k7J73MDR2fKToeQUTKSpOvOTr7i7GDg9KqAlY/GYXiG/HoqjIDrLsrrqZNAVJHKx6V0H1ns8Z9SXcXydOzGLJGURQgghKp+PT5heFSZOnMjZs2eZNm0aO3bs0IIkT8OGDSuxB15wcDBLly6lT58+HDx4kK+++oqvvvqq0DYhISF8//333HjjjcWW06dPH7744gv+9a9/kZSUVGg4llu7du2YP39+iXNgT5s2jYyMDH7++WdWr17N6tWrC63X6XS89tprPPnkk8WWUZpjx45VeN/KUiWBntVqZfDgwaSnp1OjRg3i4+MLDaiMjY3lqaeeomvXrrRp04aEhAQeeeQRtm3bdknqExgYSM+ePenZsyfgaspdsGABo0eP5tSpU1gsFkaPHs1vv/1WpvIUnVKkf7Iogce5cp83z9On5HdMd/9v0NsJceSyzxyN0yPxSXau647JeWvBpJZZ/v6gKjiceuxOPSgFgZhHnIUuP6Nmoct24SX0kvyycD2L7mbPy58awjOxijt+9HjOT+cosq9Wnrdp9LxsqLjnG/ScjE/1eJE+yPW7Uky2VVFl5Lr4Lrk2vkmui+9SVEX7u1smkoylCJ1OxzfffMM999zDV199xbZt20hOTqZatWq0bduWJ598kjvuuKPUcho2bMiOHTv47LPPmDNnDocOHcJmsxEXF0efPn145plnqFOnTqnlDB8+nA4dOvDJJ5+wcuVKEhMTCQwMpGnTpjz00EM8/vjjpWbU9/f3Z+nSpcycOZNvv/2WP//8k/T0dKKjo+ncuTP/+te/6NChQ5nPka+qkkBv2bJl2kTmo0aNKjZrTvPmzXn44YeZOnUq27dv588//6zUfqvFMRgMDBo0iEaNGtGuXTtsNhurVq0iJSWFyMjIUvePrBOGn07GjpWZR7Skc/9ienSnVcJc8yPaIlzPBQc6CAoJwWyKINZesK8hzxXomAoa5Qi2uSbD1Dv98XPYQYFafq5rExTqp20XUct1DL2/xweM44IWPc/Bw/n1szQomEBTqeGqS2BEwbjOGv75E6t7RGt+uvyA1SOAO5PlGqRcy1DwugMCXQFbSHhB4OYf45quQQ0p2FfLBppfX6fdY94IH08spOgUwmKCXV1znb5d12uJXBffJdfGN8l18V15ThsUP5NXEVfL9AplMX78eMaPH1/m7fv06VNiDoyyCAwMZMyYMRedVbJFixZFWgQr4sEHH+TBBx+86HJ8VZUEenv37tUe33TTTSVu27p1a6ZOnQq4Mv5cjkDP7YYbbqBdu3Zs2LABVVU5cuRImQK9lOPpGBS/UrcT+TyCIHegp/gXjGFTsl2BTq4p/zk1AwwWTvnnkeHRddJPdUV4Ol2W9lyuKQVUBYstiAy/dFDglNO1XUiWx5x1Z13PGZIsBfVyB1Deum76u4KpjGoB2lNp1VyvI9tRMG+DXucqT68U7aZp1BV01zyD6zWetxf8SgZZXI+tqR5z8CW4Xpt6PkN7TnUHdl4DPd9v0UNVST6eLl+OfIhcF98l18Y3yXXxXXa1nEn1pEVPlNOtt94KuHqlrVy5ssjzFXFhWRVVJYGeZ3Oq3fNLqReeWS+rYmLzWrVqaY91ZUxlrzpVVF+8HeSrPM6VMz9Y0XmePvcfzfw56+xWHUYcRORlkZlX0KJmd7fo+RW8p0x6G6gKeXo7doMdFBUlf846h0cPx9z81kKTM1R7Tpd3QaDn0TrmNLsC+ZzQgveENX9Xv+CCQK9agCvQ85xHzx3g+XkEevvOuibSVPM8Jwt0H8zjqfxz4dlQpz3Of1DoS4aPt+iBq4qqU5UvRz5Grovvkmvjm+S6+CaZMktcamvWrAEoMmxrzZo12vQKZeXevrKGgFVJoFevXj3t8fr16wtNdH4hz0kPPfe7HFRVZceOHYDrxJel37CoJE6P6Ca/ZU1xOAGVsLAssjCRZQ8olFAFvesXybOlLECXH+jp7Dh0Nlegl7+d6vHuz4nMj/qUgq6TOvck6o78/z1+UR1m1/a2grgQe4jruFEBBamHY8znATB41MmUH/Ttz4zWnrPluAJHfa7HL7YW6HkJ3Lx8aMiXCyGEEOIi+WjXTWnR811dunTxGpgV9/zlVCWBXo8ePQgICCA7O5spU6bw8MMP07JlyyLb/fLLL8yfPx9wtayVlIWnPLp06cI///lPBg0ahJ9f8V0sJ0yYwIEDBwDo2LEj1apVq5TjizLwDGTcrXx5TozmPEwmO0fs0ThVPaq+YDtDfkudWe/R1VFnBVUhR7Hj1OWBoqLP384zSNNZtYwm2nP6/IY5LbOmZ5XMStEyQlw7RARka8/FmNNcdVIK6uSX/zg+t27Bzrmu4+pzPMYrumNDLx/uqtO3u2QKIYQQVyTpuinKyd2iV9bnL6cKBXobNmzg0KFD2s/79u3THu/cubPIbPVDhw4t9HNYWBgvvfQSY8eOJTMzk1tuuYVRo0bRs2fP/2/vzuOauvL+gX9uNkIAAVFRBPcN7cajohYVdx+3Uvfpou2Mo7W1jvY3rZ1utjPd7OKIdWbaOig67VT7qHWpdqy7uCGidKw77iIqskMCZLu/P0JCYkJIIECMn/frlZeXe8899yQnN+absyE0NBR37tzB5s2b8c9//hPGyi+0ixYtcrnrZE3OnDmDp59+GnPnzkVCQgL69++Pjh07Ijg4GKWlpfj111/x7bff4tChQwBMCz06WtyRPMR6HFnl9MHWgYxQuS3ojJCrTF15tRVyyETRpgVMVjn2TSmt6u6rFHQABCglOkgqW/TMyxqUhVa1skl05hY9q0CrMhuprnImUKvWQ0Nlw58uuKqcSpUp0GuhrBojGCk3LdOhlFSV6aSmDQCguMJqHGK56b0ts5pIRmq7JqmJoxY9tuQRERF5BgM98iG1CvSSkpKwevVqh8c2b96MzZs32+y7N9ADgLfffhv5+flYunQpSktL8fHHH+Pjjz+2SyeXy/HRRx/h2WefrU1RHYqMjEReXh7y8vKwcuVKrFy5stq0rVq1QnJyMvr06eOx61Ptyf0MMBoBvVj92ihEREREtfEgzbpJvq/RFkwXBAFLliyxLJ9w8OBBXLt2DRqNBoGBgejUqRPi4+PxwgsvoEuXLh699i+//IKMjAzs3LkThw8fxtmzZ3Hr1i2o1WqoVCqEh4fj4YcfxpgxYzB16lQEBQV59PrkApuum6amNIlWD4VMB325FLIyALBt0dNqTW9nP6uJT1SSCoiiAKVEC5mkAhBEtAw2zVh5Q1cVLGp1prX3ROsZQHWO/wUAY2WLnjGoqpkvWGVqjmvtX2jZ106eCwBQWDUH7tZ2BwCoy6uW4JCWSSr/rbqGvMz0Gkh1Vi2e5pZOm3F77MZJREREdD+6dOkScnNz0a5dO4SHh9d8ghtqFeitWrXKrntmbfXs2RM9e/b0SF7uiImJQUxMTINfl1xkHcjoKwM9UYeAsAqUF8kg1ZqCG2l5VWBWXrl4epmhatxlQGWgVyzoIasco9e5iSn4KtdXpbtdGfRphargS1LZZVOirfzXOtCrPFUWUDXDZguVqctmpCLfsi9KZpp187/aqhs3r8I0U6h5AhYAUFR22bTuuinTVD5HtYN18ayCO8skLAz4iIiIiLzC3bt3sW7dOgDAM888g+DgYJvjFy9exNSpU/HLL78AMDWCPfnkk0hKSkJISIhHytBoLXpEjpiDFsE6kKls0QtuUQaJTET+eQVkLU37ZOVWb+HKCU3yK6rWtisX5RBFAZ0UOZD7ZUEQRBQGmo6rDVVBXUXl+nWF1ks9VAZ/Rm1lMKmzmjmpclewqsKyK1xZAgBoq8i17IuUmRY4/1lddXPnV5haD43lVS2KsjLzv1aTy1gCvapriFoH6wFVvlYM+IiIiOqIY/TIQzZs2ICXX34ZXbt2xUsvvWRzrKKiAqNGjcLly5ctyy+IooiNGzciNzfXYxO5MNAj71cZ6AW21EFzRwJDiR5Cc9NN4Z9b9cmnyTe9na8Xhlr2ZYS1A0QBbY0yGCQABBFn1a0AAFeLm1rSFRaagj+p3CrANE8MY1mnzmoyoMr17oqLqoLKa0Gm655VVa292EZ2CgBwRhNh2ZddaAr6ZAVVt5/MvE671Qe5YHQw8YqjtfKIiIjIIzhGjzxlx44dEAQBEydOtDu2atUqXLp0CYIg4IknnsDQoUOxa9cu/Pjjjzhw4ADWrVuHyZMn17kMnpnGkqieBbSRQBEkovgqJ2EhIiKieiR64YPuO+fPnwcAxMbG2h1bs2YNAGDIkCHYtGkT5s6di82bN2PYsGEQRdFyvK7YokdeybrFShBFhD4sg+aOgIpcEYABknJTK5+ipGqSE2Wu6e1ckhdg2fdLsygIIqCWSlGiCwAEEWcKWwIAbudVdac0d9OUK6vGw0mkpt9BDAbzAutWn7SVSzQI+VXdP28EhAAAflVWteg1k5m6c54rrhqjV1Zo6rqpKrBaGqKy66bgqNelzVIK9gnYZZOIiMhDvDWw8sYykVN3794FAERERNjsLysrw5EjRyAIAmbNmmVz7He/+x127dqF48ePe6QMDPTIu5iDFbEqCJI3EaEIkSDvgBGonIFSUqGr/LdqQhNzN86y3Kq3dWaLZqZuGH4S3JX4QRSA7MoAz5jrV3XdYFN+5jX2AMAoNVb+W7mOnrQqqBQNlftKqloYNQWmbpwXVc0s+5oqogAANwpCLPuklV1M5VXL7UFuHo9XYR3gonoM6oiIiDyOXTfJUwoLCwHAbh3wo0ePQqfTQSKRYNiwYTbH2rdvDwDIycnxSBkY6JHXU0VIYdSJKLulByrjG0lZZWBWXhV8KSqDLr/cquCrMC8QAoCcACmyIYMIQJ9nWqhcYjW5ilAZ1MmkVQGUobL1TCIzpZNaHTMaTfv0iqpA0xzA5aiqluM452dqyTMHgQCgyjedK9NUPUe52j7Qs/x6Zx3TORqjx6CPiIiIyKsEBgaiqKgIt2/fttlvnmilR48eCA0NtTkml5u+V8pkngnRGOiRV7IOZPwjJKYgT1cV1KHctKyBtKJqn7TcFPD451X9clKWJ4cAQKeTQ6s3xU7mQFAXXBUgCVLT9awDPb2hMtBT2B8zVAZ6Or+qfZJi0+2kK6hqKcxShpjKll91q8krJ14xt+KZ9pnXCrQqk85RN00GdURERPWGXTfJQ7p164ajR49i+/btGD16tGX/hg0bIAgC4uPj7c4xB4WeWk+PgR55NYlCgH+4DLmpGoh6q26NZaZBbUJ51Xg8qdb0K4iiuCqdMlcCAYDcKIGiXAoRgKRy6TvrSTTNQZzMquumXGawOSa16jdhqOxaqlFUBZoGpSmAVORXtSiqlQ7G41W25Jlb8QBAVmpqoRS0VWMEhcrAVrAK7iwlYCseERGRx7HrJnnKmDFjkJqaiuXLlyM6OhoDBw7E6tWrcfr0aQiCgPHjx9udc+LECQBAZGSkR8rAQI+8WnC0qXWs9IoWgNx5YiIiIqK6YIseecjLL7+Mf/zjH7h16xZefvllm2P9+vXD4MGD7c758ccfIQgCBgwY4JEyMNAj7yQaIUiAkIeVKM6sgKFMhGA166VYblpEXFLZhRMAJBWmGTCl2qoWNXOLnp8UUJaaPie1TSrzkFblJ5GYtuVWE66YJ2Yx75NLqo7pjKZrFFnN0mkerycprmq9k+ab9tlOvFJ5LXVVfpLScgCAUFGVH3SVi6PrrPaJ/KQnIiKqNwz0yEOCg4Oxa9cuTJs2zdJSBwADBgxwuHzCf//7Xxw7dgyCIGD48OEeKQMDPfJaQZ39IAuQouC/xRCNIgTr7oqVi6ijMuADAGmZaZIVaXnV21pRaoQgAILO1GVTBCCa40CrQM880YpCWhVUKSoDPJlgtPkbAPRGU7/PXEVV11HzeD2DoqpPqJ+TiVfM3TUBQCipTFBRFbiKjgI9LpRORERUb9h1kzwpOjoa6enpuHLlCm7fvo1WrVqhXbt21aZPTk4GADz++OMeuT4DPfJKEoWApr0DUHq5ArrC6iclEayDIH3l5CkGq5Y6PSAIgKxMhFwtQgSgU1dOpKKpavkr05haA4vk/pZ95vF697bsAYChMtArL6taR09SZtpnXhMPAGSVE69IdFZlqpxwxXo8njnAE60DPW3lPm1VQCjqq7aJiIiIyPu1b9/esnRCdR599FE8+uijHr0uAz3ySiEP+UPqJ8HdQ1Z9HgWr2VPMXRitujIK5m2ruFCqFSEIgKJUhF+xEaIIGGWmAM8or+piWS41jQXM11ddQ6j8+cw8I6fEenkFgymdaLUWn1+uaZ8yt+r6ksq4zHohdMu2dfxqnnDFYDWzqMG8piAnXiEiImoQ7LpJPoSBHnklVVsF1Ne10KuNtgEeERERUX1hoEc+hIEeeR2pUoCyhQw5Z0oAAIKksuXNumWrsuskrNeVq2zRE6xa+WQaAwQBkKoMkGkMEEVAVTnOzSivevuLMlN+WkNVV0yYL1s5UYtVY5+lVc7cigcA/ncr91kt7yCYx9RZfUCb99ksm1DZkidateg52kdERET1h2P0yNN0Oh22bt2KgwcP4sqVKygpKYGhhu92giBg9+7ddb42Az3yOqooBQRBgPp65Rg1c7Bk9SknmNe7s56FsnJbYrWIukRrmoxFGiSHrMwU6EnLTcdVsqqum+bunIK+ap8l28pAU6wa0mcJ9Pytummqckz5SnWiXTrrSVQswZ91kGreZ7AOXNllk4iIqEGxRY88aN++fXj++edx48YNyz7RyQzqgiBAFEUIgv330dpgoEdeJ6CNAuU5OhjKzK1h5qCu6k0vmlv0HAV6GtsJSwQBkJbJIFVrIYqAKDGd659Tda5RYZqxU6J30E3U0rJntauySKo7VUGlX5FpchXBajIYcwBn80ucueXRKp2zFj0iIiJqGGzRI085ffo0Ro8ejYqKCoiiCIVCgc6dO6Np06aQSBpmWBIDPfIugqlFr/BUmd0h0eigRc96X7kpwBMEvc15ggAI5XJI1BU2gZ6kvCpw9JebmuskuuoXZXcY6N2uWt5B0Boqj1kvA2HfndQSnBrsu26yFY+IiIjo/vfhhx+ivLwcUqkUH3zwAebMmYPAwMAGLQMDPfIqypZySJUSS7dNIiIiogbDrpvkIfv27YMgCPh//+//4fXXX2+UMtQq0Dtx4gS2b9+OAwcO4NSpU8jJyYFcLkdERATi4uIwY8YM9O/f3+X8tm/fjuXLlyMtLQ13795F8+bNERsbi1mzZuF///d/azw/Ozsbb775JrZt2wa1Wo3evXvjnXfewbBhw5yep9PpsH79eqxbtw4nTpxATk4OAKB58+YIDw9H9+7dMWjQIMTHx9e49gV5RnA3JXTFBlTk6O0PWrV2mbtuilb7hFLzonXWTW+CqeulRg6UagAREKSVxyVVg+78zGvw6QJsz7W+vNWfEr3pE1daULUSuqUlz3qcndG+5bGqK6rVvspz2F2TiIioETHQIw/Jz88HADz55JONVga3A734+HikpKTY7ddqtcjMzERmZiZWrVqFadOmISkpCQqFwkEuJqIoYvbs2Vi+fLnN/ps3b2Ljxo3YuHEjZs2aha+++qraQYnZ2dno06cPsrKyLPtSUlIwcuRIrF69Gs8++6zD8zIzMzFp0iScPHnS7tj169dx/fp1HDt2DKtXrwYAlJWVQalUVvtcqO4kSgGBnfyQl6auOXFlsCSWlVftKjd1oxQcBHqiRg6xVG2KrSoDPUFqNbtKmamrqNx6AXZnA2H1lQGZ1qrl0RykOZhN0zbQs5+MhQEeERFR4xNgGZrvVbyxTORceHg4srKyIJdXPyyovrkd6N28eRMAEBERgcmTJ2PAgAFo06YNDAYDjhw5gsWLF+PmzZv45ptvoNfr8d1331Wb19tvv20J8mJiYrBgwQJ07NgRly5dwqeffoqMjAwsX74czZs3xwcffOAwj1deeQVZWVno168f3nzzTYSGhmLDhg1ITEzE7NmzMWrUKISFhdmck5+fjyFDhliCw/j4eDz77LPo3r07VCoVCgoKcOrUKezduxfbt29HWZn9eDHyvCZdlYAIFJ8vrzlxJaN13VSut2dZjsGyW4BY7g+jpgyiUbQEeKLUanF0c9BX4aTLqHW+lmUTrFvlHCyHYN7noEXP0T4iIiJqRGzRIw8ZMmQI/vWvf+GXX35Br169GqUMguhsjk8Hxo4di+nTp2PixImQWreIVMrNzUVcXBwuXLgAANi/fz8GDhxol+7ixYuIjo6GXq9Hr169kJKSAn9/f8txjUaD+Ph4pKenQyaT4dy5c+jYsaNNHhUVFQgODkaLFi1w9uxZBARUdbubP38+li5ditWrV2P69Ok25y1YsACfffYZAODdd9/Fe++9V+3zLSkpQXJyMl588cUaI/Li4mIEBwdjEBIgExover9ftX2qKcpv63Bnb0ntMnAS6DVrF4Lcq4U2gR6s3r+WfY5a8ZzNjORolkzrfUYHtxcDPQtT3YQi92qB49eKGgXrxXuxbrwT68V76UUd9mEzioqK0KRJk2rTmb/D9Zj9EaR+3teDy1BRjtNfvVnj8yDvcfr0acTGxiIqKgrHjx+3iVMaittze27duhVTpkxxGOQBQLNmzbB48WLL3+vXr3eYbsmSJdDrTd3kli1bZhPkAYBKpcKyZcsAAHq9HomJiXZ55OXloaKiArGxsXYv3tChQwFUtUBa27RpEwBTk+rChQsdls8sKCgIf/jDHxq12fVBoIqSQxEsRdFptp4SERER0f2tR48eWL16Na5fv45hw4bh7NmzDV6Gepl1c9CgQZbtS5cu2R0XRRGbN28GAHTr1g19+/Z1mE/fvn3RtWtXnD9/Hps2bcIXX3xhM1YvNDQUMpkM6enp0Gg0UKlUlmP79u0DALRs2dIu3+vXrwMA2rdv32DrWJBzwT38UZ6rQ7mjSVg8zPxrq2C1KI1YuV6C4Oj9YG6hs27tq2wIr7GbJhH5BKlKgqYx/vBvrYCh3Ii7B0uhzefYWiKfw66b5CG/+93vAADR0dE4evQoHnroITzyyCPo2rWrTcziiCAIWLFiRZ3LUC+BntZqggpHLX9XrlyxtLTFx8c7zSs+Ph7nz59HVlYWrl69ajP7pb+/P0aOHIlt27ZhxIgReOONNxAaGopNmzYhMTERKpUKo0ePtstToVCgoqICFy9ehF6vh0zGVSYalQRQRSpcm4TFE8xdJ62+o5lDOIc9mZ1NymIV1FkCvAe0GyaRr5L6C+gw3Xast1+YjIEeka9iUEUesGrVKksDlSAIEEURJ0+edDgRpDVRFL070Nu/f79lOzo62u64ddNlt27dnOZlffzs2bN2yxwkJiYiNTUVhw4dwtixYy37BUHAF198gfDwcLs8Y2JikJKSgtzcXMyfPx9//etfnc4OSvXLL0wGiUxA2W2dR/Jz1KImGkXLw8yy6DpQtXaC0VELb/Wf+DYtegzwiHyTRIBBa4RUIYG2UI+SzAqUZFY0dqmIqB4IounhbbyxTORcmzZtql01oKF4PNAzGo1YtGiR5e/Jkyfbpblx44ZlOzIy0ml+UVFRDs8z69SpE9LS0vDGG29gx44dKC8vR0xMDN5++22HrXkAMHfuXMsSEX//+9+xfv16jBs3Do8//jj69OmD6OjoRq+YB4kyXAajQYQ2t/67bVqzDQhNAZvgeOips0yqyY+IfIVBbUTWxkL4hclQcpEBHpFPY9dN8pCrV682dhE8H+gtWbIEaWlpAIDx48c7nE60pKRqVsXAwECn+VlPslJaWuowTYcOHfD999+7XMZJkyZh4cKFeP/99yGKIu7cuYOkpCQkJSUBAEJCQjBw4EBMnToVkydP5kQs9cyvqQzafH3dG8Sqy0AUTGPqRKPtcgg2p5pb8tzrisXgjujBoC0wQFvArppEvo4teuRLPDoTyf79+/GnP/0JANCiRQt8+eWXDtOVl1etk1ZTl0k/Pz/LtifXs/vzn/+M1NRUTJw40eYaAFBYWIgtW7bgmWeeQY8ePZCenu6x65I9qb8ERi0/wYiIiIiIPMVjLXqnT5/G+PHjodfroVQqsW7dOofj4wBAqaxan8R64hZHKiqqusncuwRDXcXGxmL9+vVQq9U4fPgwjh49iuPHjyMlJQX5+fkAgMzMTAwaNAipqal46KGHPHr9B54AdHguDFKlBLlHG2gilupY1rZz87cPjsujewS0V8AvVAZNlrZBZpElIiIPYtdNqkeiKCI/Px8ajQYRERHVLlfnKR4J9K5cuYIRI0agoKAAUqkUa9eudbhIullQUJBlu7rumGZqdVUAUFM3z9oKCAjA8OHDMXz4cACmdfs2bdqE+fPn4+bNm1Cr1Zg/fz527drlUn6CROAYP1dIAKnSFFiVXqqwW+jcU0z1Yb+QumNufpKynuvEvbrxboIUaDmyCQIiFRBFEWGxAcjeVgTNTc9MMtSQfKlefA3rxjuxXryXIAqAG7/JsusmeZrBYMC//vUvJCcn49ixY9BqtRAEASdPnkT37t0t6bZu3YqUlBQEBwfjrbfe8si16xzoZWdnY9iwYcjOzoYgCFi5ciUSEhKcnmM9AUtWVpbTtNYTsFhPzFKfZDIZJk2ahM6dOyM2NhZarRZ79uxBXl4ewsLCajw/rG0I5BLO4ukKWbESijApQpoZgGb1cw1BIiAkIggQBI6p8zK+VDcB7RVo2k2FvDQ1ym7r0HpsCKL6+yHvqKaxi+Y2X6oXX8O68U6sF++lM2qBK26cwBY98qCcnBw8+eSTOHr0qOMlvKy0b98eTzzxBARBwJgxY/DYY4/V+fp1CvRyc3MxfPhwXL58GQCwbNkyTJ8+vcbzrKPXc+fOOU1rfdzRUg316dFHH0VsbCwOHjwIURRx+fJllwK9vGuFkAmcwKUmihApgoMkyN5diuKr9TeTnSAxTcaSe62Q/wF7GV+qG/+eIbh9RoNbB02TTRkOlKNpzwCILSqQl3Z/BXu+VC++hnXjnVgv3ksvutmrgoEeeYjBYMC4ceNw7NgxSKVSTJo0CQMGDMDLL7/sMH2PHj3Qr18/pKamYuPGjY0b6BUVFWHkyJE4c+YMAGDRokWYM2eOS+e2b98eERERyM7OtllzzxHzMgitW7dGu3btalvcWmvdurVlWyJxbfyWaBQhso29RqE9VdCXGFF0rtytbhW1YZp0U+R/wF7ofq8bqb+AZn0D4RcmQ+GvZZbnkZeugaqtAgHt/ZCb2shjUGvhfq8XX8a68U6sF+9UUyvKvdh1kzxl9erVOHbsGORyObZu3WoZIlZdoAcATzzxBI4cOYKDBw96pAy1mnVTo9FgzJgxOHHiBADgrbfewuuvv+7y+YIgWLp3njt3DqmpqQ7TpaamWlr0EhISGnzcmyiKyMjIAGAqc9u2bRv0+r5MHiJFUEc/5B/X1HuQR1SfIkYHQxWlQG5qKYrPV80oDBHIPaKGIliKJtHK6jMgIiIin7NmzRoIgoAXX3zREuTVJCYmBgBw/vx5j5TB7UBPq9Vi/PjxOHToEABg3rx5+OCDD9y+8Pz58yGTmRoU586da7d0QllZGebOnQvANGZu/vz5bl+jOgMHDsSaNWug0zlvzn///fdx4cIFAEBcXByaNaunQWQPoODuSujLjCjOLK85MZGXCmingLK5HLd+LkLBL2V2XWvKbupQflcH/1bsyk1EdF8QvfhB95WTJ08CAMaNG+fyOc2bNwcA5OXleaQMbnfdfOqpp7Bjxw4AwJAhQzBjxgycOnWq2vQBAQFo37693f4uXbrg1VdfxaJFi5Ceno64uDi8/vrr6NixIy5duoRPPvnE0pr22muvoXPnzu4WtVpnzpzB008/jblz5yIhIQH9+/dHx44dERwcjNLSUvz666/49ttvLcGsQqHA559/7rHrP+gEKdCkixLFDdBlk6g++TWXQVdqQPkdx8soCDJA2VyOkov1NwaViIg8RxBFCG5292wI3lgmcq6wsBBAVfDmCnMjlKeWXXA70Pvhhx8s23v27MEjjzziNH18fDz27dvn8NiHH36InJwcrFy5EhkZGfjNb35jl2bGjBm1ajF0JjIyEnl5ecjLy8PKlSuxcuXKatO2atUKycnJ6NOnj0fL8CALaOcHqVKCorNszaP7m9RPAonMcZdyQQq0HhcCANAWGBqwVEREVGve2nrmjWUip5o2bYqcnBzk5ua6fM7Zs2cBuBccOuOxBdNrQyKRYMWKFZg4cSKWL1+OY8eOITc3F82aNUPv3r3xwgsvYNSoUR6/7i+//IKMjAzs3LkThw8fxtmzZ3Hr1i2o1WqoVCqEh4fj4YcfxpgxYzB16lSbdf+o7oI6+aH8jg66In75pfuXPFiKwA5+QDVDhwPa+cE/XI7bu4uhua5t2MIREVGtcDIW8pQePXogJycHKSkpGDJkiEvnfPvttxAEAb179/ZIGdwO9NydvcgVo0ePxujRoz2erzMxMTGWAY/UcCQKAao2CuQdvf9mISSy1mJAIGQqCUou2XfLlCgENOlmmoClItdxt04iIvJCbNEjD3nyySexZ88e/P3vf8dLL72EFi1aOE3/1VdfYffu3RAEARMnTvRIGWo16yZRbQW0V0CQwOGXY6L7SV66GkaDiKCOfmg7NRQtBgSiRXwgIp8MQYfnw6BqLcedfSXstklERPQAmjlzJtq0aYP8/HwMGTIER48edZju/PnzmDFjBubMmQNBEPDQQw9hypQpHilDo3bdpAdPUEclym7pYFBzFha6v5Xf1uP6ugIERyshkQtQtpRDNIrQFRpw90I51Ne00PN9TkR0X2HXTfIUPz8/bN68GYMGDcKZM2fw+OOP26zPPX36dOTk5ODmzZsATL0mw8LCsGHDBo8tKcdAjxqMRCFA1VqOu4dLG7soRB6hKzQg9wi7IRMR+Qx23SQPevTRR3Hs2DFMnz4dqampyMrKshzLyMiwGRIXGxuL7777Dh06dPDY9RnoUYPxby2HIBWg5sQURERE5IXYokee1qlTJxw+fBgHDhzAli1bcPz4ceTk5MBgMCAsLAwxMTF44oknXF5U3R0M9KjBBEQpoC3QQ1/C7mxERETkhdiiR/VkwIABGDBgQINek4EeNRhVlAKlVzgJCxEREXkvtp6Rr+Csm9QgFKFSyIOkXE+MiIiIqAGcOHECH330EUaNGoWoqCj4+fkhMDAQXbp0wW9/+1scPHjQrfy2b9+OCRMmIDIyEn5+foiMjMSECROwfft2l/PQaDT47LPPEBsbi6ZNmyIwMBDR0dF49dVXcf36dZfzOX36NGbPno1OnTrB398fzZs3x8CBA/H1119Dr3d9WaO1a9di5MiRaNWqFZRKJdq1a4dp06YhNTXV5TyqI5FIIJPJcObMGZfPuXTpkuU8T2CLHjUIVZQCRr2Islu6xi4K3UeULWVQhsth1JpmszSUG7lcARER1R9RND28jZtlio+PR0pKit1+rVaLzMxMZGZmYtWqVZg2bRqSkpKgUCicXFrE7NmzsXz5cpv9N2/exMaNG7Fx40bMmjULX331ldPZIi9duoQxY8bg/PnzNvvPnTuHc+fOISkpCd99912Na2uvWLECc+bMQUVFVS+x8vJyHDhwAAcOHMCqVauwdetWhIWFVZtHeXk5Jk+ejK1bt9rsv3btGq5du4bvvvsO7733Ht555x2nZalJbdcf99S65WzRowahilKgLFsHkd/RyQXBPZSIfDIEUU+GIqynCi0GBCIyIQRtpzZFu6ebIiw2APDMzMNEREQW5slYvPHhDvOU/REREZg3bx7Wr1+PtLQ0HDlyBH/9618t0/x/8803eP75553m9fbbb1uCvJiYGKxZswZpaWlYs2YNYmJiAADLly93GhSVlpZi7NixliBv5syZ2L17Nw4fPowPP/wQgYGBKCoqwuTJk3Hy5Mlq8/n5558xa9YsVFRUIDw8HF988QWOHj2K//znP5gwYQIAIDU1FRMmTIDRWP2cEDNmzLAEeYMHD8amTZuQlpaGFStWoGPHjjAajVi4cCGSkpKcvjb1xVPLKwiip0JGQnFxMYKDgzEICZAJ8sYujteQBUnQ9jdNkZeqRuGvZQ1+fUEioFm7UOReLYBo5NvdmziqG6lKgg7TTb/C3dpZjNJLFZAoBMibSCFVSRDQVoHgbkoUnirj0gb1hPeM92LdeCfWi/fSizrsw2YUFRWhSZMm1aYzf4frNfEDyOTKBiyha/S6cqRveLvG52E2duxYTJ8+HRMnToRUKrU7npubi7i4OFy4cAEAsH//fgwcONAu3cWLFxEdHQ29Xo9evXohJSUF/v7+luMajQbx8fFIT0+HTCbDuXPn0LFjR7t83nvvPfz5z38GAHz66ad47bXXbI4fOXIEAwcOhF6vx+DBg7Fnzx7710CvR3R0NC5evIgmTZrgxIkTdteaM2cO/vGPfwAAVq9ejenTp9vls3//fgwaNAgAMG7cOGzcuNHmNcrNzUXPnj1x/fp1hIaG4vLlywgJCbHLpyYSiQSCIODXX39F9+7dXTrn6NGj6NevH4KCglBUVOT2Ne3KUOcciGrQPC4QEqkAzU2OzyPnBBnQalgQAODGxgKUXjJ1yzBqRVTk6qG5rsXdA6UoOleOwI5+EORs1iMiIs8RjN77cMfWrVsxZcoUh0EeADRr1gyLFy+2/L1+/XqH6ZYsWWIZ87Zs2TKbIA8AVCoVli1bBsAUiCUmJtrlodPpsHTpUgBAdHQ0/vjHP9ql6devH2bMmAEA2Lt3L44fP26XZuPGjbh48SIA4I033nAYUH722WcIDQ21bDvy6aefAgCkUin+8Y9/2L1GzZo1wyeffAIAKCgowIoVKxzm4ypXW+fUarXltXT03GqDgR7VO31JZX9N/shJNQhs7wf/CAWyfy5C+Z3qB1MXnS6D1E+CpjGqBiwdERH5PNGLHx5mbtUCTOPn7iWKIjZv3gwA6NatG/r27eswn759+6Jr164AgE2bNtmNL9u3bx8KCwsBAM899xwkEsfhh3UX0h9++MHu+KZNmxymtaZSqTBlyhQAwKlTp5CZmWlzvLS0FLt37wYADB8+HJGRkQ7zmTBhgqXl1FFZHOnQoYPNw2zEiBF2x+59tG7dGiEhIVizZg0EQcC4ceNcumZNOBkL1Tt5sAyabC0n0aAaGcoqf7Ks4ZdLbb4B6msVCH3MH+U5OqivsrWYiIjIHVpt1f+djlr+rly5YhnrFx8f7zSv+Ph4nD9/HllZWbh69Srat29vOXbgwAGbdNXp1asXAgICoFarHc4Ias6na9euaNmypdOyfP311wCAgwcPonPnzpZjaWlplklcnJVFoVCgb9++2LFjB9LS0qDT6SCXOx+WdfXqVbt9oihaXkNX9e3bFwsWLHDrnOow0KN65xcmRfEFrp9HNdNk6VB6tQLhQ4Jw7f8KYFBXH/Hd2VsCqb8EEf8bjMLTZbh7oLQBS0pERL6oNhOfNIT6KNP+/fst29HR0XbHz549a9nu1q2b07ysj589e9Ym0HM1H5lMho4dO+LkyZM25wCmlrisrKxalcWau89px44d0Ov1yMzMrHGc3XPPPWfz9+rVqyEIAp544gmnY/wEQYBSqUSrVq3w+OOPY8iQIR6bjIWBHtUrVRsFZAFSqK8y0CPX5KSUosP0MPi3lFvG6DkiGoCbPxah9RPB8A/n5EdEROQBPrK8Qk2MRiMWLVpk+Xvy5Ml2aW7cuGHZrq6Lo1lUVJTD86z/DggIqHFSk6ioKJw8eRJ3795FRUUF/Pz8AABZWVmWLqGeKEtt8qkp0EtOTrb5e/Xq1QCADz/80OXJWDyNgR7Vq5CHlCi7o3M63orImkFjREW+HqEx/tBc18Koc/6fm19TGQpPNfxsrkRE5Hu8vUWvuLjYZr+fn58lGHLHkiVLkJaWBgAYP348evXqZZempKTEsh0YGOg0v4CAAMt2aaltDxtzPjXl4Sgf83PzdFnqmo8r3n33XQBAixYt3D7XUxjoUb1ShMpQksnWPHLP7V3FiHoyBB1nNEP+CTXy0jUOx+3JgiSQKiX8IYGIiDyjniY+qbPKMlm3MgGmYOK9995zK6v9+/fjT3/6EwBTEPLll186TFdeXm7ZdragOgCbYLOszPbHV3M+NeXhLB9Pl6Wu+bjCHOg1JgZ6VG8kCgHyICm0BfwSTu7R5huQtaUITboq0fR/AhDcwx+llyqQf0ID0QiIBhGqCDlUkaYPaUO5m/NOExEROeDtLXo3btywWUfP3da806dPY/z48dDr9VAqlVi3bh3Cw8MdplUqq9YTtJ64xRHzBCcA7JZgMOdTUx7O8vF0Weqaz/2CgR7VG1WU6Ut4eQ4DPXJfRa4ed3NLUXSmDIGd/BDykD+Cu9t+0BrKjVBfq0BFHt9jRETk+5o0aeLSgumOXLlyBSNGjEBBQQGkUinWrl3rcJF0s6CgIMt2TV0X1Wq1ZfveLpHmfFzp/lhdPp4uS13zcZfBYMCZM2dw5coVlJSUwGCoeSZ6R4u9u6tWgd6JEyewfft2HDhwAKdOnUJOTg7kcjkiIiIQFxeHGTNmoH///k7zKC8vx88//4xdu3YhLS0NmZmZKCkpQZMmTdClSxeMHDkSs2fPdjp9qll2djbefPNNbNu2DWq1Gr1798Y777yDYcOGOT1Pp9Nh/fr1WLduHU6cOIGcnBwAQPPmzREeHo7u3btj0KBBiI+Pt5k9iFwT+qg/NFla6Iq4rALVnrbAgPxjGhSeLIN/SzkEmVC5Xw9tPt9bRETkQT46GUt2djaGDRuG7OxsCIKAlStXIiEhwek51pOVmGe8rI71JCf3di+NjIzE0aNHoVarUVhY6HRCFnM+zZs3t2mt9GRZrPNxNDbRlXxcpdFo8Je//AUrVqxAfn6+y+cJgtA4gV58fDxSUlLs9mu1WmRmZiIzMxOrVq3CtGnTkJSU5LD/68mTJ9G/f3+bAZFm+fn5SE1NRWpqKpYsWYJ//vOfloUPHcnOzkafPn1sKj0lJQUjR47E6tWr8eyzzzo8LzMzE5MmTcLJkyftjl2/fh3Xr1/HsWPHLDPmlJWV2TT3knOyIAmULeS4taOosYtCPsJYIUJ9jevlERFR/fH2rpu1kZubi+HDh+Py5csAgGXLlrkURFjPFHnu3Dmnaa2P37tUQ/fu3bFhwwZLuuoWXtfr9ZaF2+/NIzAwEFFRUbhx40ady+IonbN8ZDIZOnXq5DStIxqNBoMGDcLx48ftFpFvKG4HeuZF/yIiIjB58mQMGDAAbdq0gcFgwJEjR7B48WLcvHkT33zzDfR6Pb777ju7PIqLiy1BXlxcHMaOHYtevXohLCwMd+/exQ8//ICkpCQUFxfj6aefRlBQEEaNGuWwPK+88gqysrLQr18/vPnmmwgNDcWGDRuQmJiI2bNnY9SoUQgLC7M5Jz8/H0OGDLEEh/Hx8Xj22WfRvXt3qFQqFBQU4NSpU9i7dy+2b99eqwGYD7qgjn4w6kSor/OLOREREd0nvHwyFncVFRVh5MiROHPmDABg0aJFmDNnjkvntm/fHhEREcjOzrZZc88RcyNQ69at0a5dO5tj1r389u/fX22gl56ebukuGRcXZ3e8f//+WLNmDc6fP4/bt29X2+vPuqz35tO7d28oFApotVqbSWnupdVqkZqaanOOuz777DOkp6cDAB555BHMmTMH//M//4OmTZtCIpG4nV9tuB3odevWDR999BEmTpwIqVRqc6xv376YNm0a4uLicOHCBaxZswazZ8+26/8rkUgwZcoUvPvuuw7XlRgxYgRGjRqF8ePHw2AwYO7cucjMzLRbPLCiogKbN29GVFQUdu7caZkGNS4uDkajEUuXLsW2bdvsfrVYtGiRJcirbraiwYMHY+7cuSgpKUFycrLdcyXnAjv4QX1dC5FDp4iIiOg+4UstehqNBmPGjMGJEycAAG+99RZef/11168pCEhISMCXX36Jc+fOITU11WGQlpqaamn9SkhIsPu+PmjQIAQHB6OoqAirV6/GggULHC4IvmrVKsv2+PHj7Y4/+eSTWLNmjSWtoyBNo9Hg//7v/wCYWu+6dOliczwoKAhDhw7Ff/7zH+zatQtZWVkO19P74YcfLEtZOCqLK9atWwdBEDBgwADs3LkTcnnDr/nrdji5detWTJkypdrAp1mzZli8eLHl7/Xr19ulefzxx/H99987XTwwISEBEyZMAABcunQJGRkZdmny8vJQUVGB2NhYm7UuAGDo0KEAqlogrW3atAkAEB4ejoULF1ZbBsD0hvjDH/7QKJVzvzJ32yy9zGUViIiI6D5iFL334QatVovx48fj0KFDAIB58+bhgw8+cPvlmD9/PmQyU7vQ3Llz7Xq5lZWVYe7cuQBMXRznz59vl4dCocAf/vAHAMDZs2fx+eef26U5cuQIVqxYAcDU06537952acaPH4+OHTsCAD7++GNLN09rr732GgoKCizbjrz66qsATF1F58yZYzcxSm5uriUgDgkJwe9//3uH+dTkypUrlus1VhxRL+2GgwYNsmw7qgRXDR482Gk+oaGhkMlkSE9Ph0ajsTm2b98+AHDYrHv9+nUApibphmo6fZAEdvCDUS9CfY2BHhEREVFDe+qpp7Bjxw4AwJAhQzBjxgycOnWq2oc5KLlXly5dLIFReno64uLi8P333yM9PR3ff/894uLiLN0TX3vtNXTu3NlhPq+99pqldW3BggV44YUXsHfvXqSmpuLjjz/GiBEjoNfr4e/vj8TERId5yOVyfPHFF5BIJCguLkZcXBz+9re/IS0tDT///DMmTZqEf/zjHwBM3TynTZvmMJ8hQ4bgN7/5DQBgy5YtGD58OLZs2YL09HQkJyejb9++llhh0aJFCA0Nrenldsi8JIOjFsOGUi/LK1ivS1GXLo/W61c4ysff3x8jR47Etm3bMGLECLzxxhsIDQ3Fpk2bkJiYCJVKhdGjR9udp1AoUFFRgYsXL0Kv11t+qSDPCOrgBw27bRIREdH9xkfG6P3www+W7T179uCRRx5xmj4+Pt7SSHKvDz/8EDk5OVi5ciUyMjIsQZK1GTNmOG0xDAoKwrZt2zB69GhkZmZi+fLlWL58uU2aJk2a4N///jcee+yxavMZPXo0vvrqK7z88su4c+eOpTXRWmxsLDZu3Og0Blm5ciWKi4vx008/Ye/evdi7d6/NcYlEgnfeeQcvvPBCtXnU5KGHHsKBAweQlZXl9DnVp3ppzrIeBHnvbDeezicxMRFhYWE4dOgQxo4di7i4OHz22WcQRRFffPGFw0UgY2JiAJiaZufPn+/SAo7kGlmgBMpwOUrYbZOIiIjuMwKqxul51aMRXxOJRIIVK1Zg27ZtSEhIQEREBBQKBSIiIpCQkICffvoJSUlJNfaS69SpEzIyMvDJJ5+gV69eCAkJgUqlQteuXfHKK6/g5MmTGDt2bI3lmTlzJo4fP46ZM2eiQ4cOUCqVCAsLQ//+/fHll1/i0KFDaNasmdM8/P39sW3bNvz73//G8OHD0aJFCygUCkRFReHpp5/GwYMHHc7h4Y5Zs2ZBFEV8++23dcqnLgTRw/N9Go1G9OvXD2lpaQCAY8eOOV2jojr//e9/0bNnTxgMBvTo0QOnTp2qNu3ly5fxxhtvYMeOHSgvL0dMTAzefvtth615gGnc4OTJky1/h4eHY9y4cXj88cfRp08fREdHOxwkWpPi4mIEBwdjEBIgEx7MMX1Ne6oQ+pgKl/+VB1HnHT+JCRIBzdqFIvdqAUQ3+7hT/WLdeCfWi/di3Xgn1ov30os67MNmFBUVOV1o3PwdLm7oe5DJvG85Lb2+HId2v1fj8yDv8pvf/Abr1q3DJ598YukC25A83mdxyZIlliBv/PjxtQryKioq8Pvf/94yOPKjjz5ymr5Dhw74/vvvXc5/0qRJWLhwId5//32Ioog7d+4gKSkJSUlJAEwDLwcOHIipU6di8uTJnIjFRYIMCH7IH8Xnyr0myCMiIiJylS/NukmNKyUlBbNmzcKNGzfw+uuvY/369XjqqafQtWtXqFSqGs+/d9WC2vBooGe9HkWLFi3w5Zdf1iqfl19+2TKw87nnnsMTTzzhsTKa/fnPf8aYMWPw6aefYuvWrTbjAQsLC7FlyxZs2bIF7733Hr777rtaBawPmiZdlZD6CSg4qak5MREREZG38ZExetT4Bg0aZNND8NixYzh27JhL5wqCAL2+7pNdeCzQO336NMaPHw+9Xg+lUol169Y5HB9Xk48//tjSsta7d2/8/e9/91QR7cTGxmL9+vVQq9U4fPgwjh49iuPHjyMlJQX5+fkAgMzMTAwaNAipqal46KGH6q0s9z0BCH1UhdJLFdCXGBu7NEREREREjcrDI+Tc5pFA78qVKxgxYgQKCgoglUqxdu3aWjU3fv3113jzzTcBmBZm/+mnn+zWx6sPAQEBGD58OIYPHw7AtK7Gpk2bMH/+fNy8eRNqtRrz58/Hrl27XMpPkAi1GuN3PwvsoIC8iRS3d5ZAkHjXczfVB7yuXMS68VasF+/FuvFOrBfvJYgC4Mbvz4IoQmjkL+eOeGOZyLl7Z/JsDHUO9LKzszFs2DBkZ2dDEASsXLkSCQkJbuezZs0avPTSSwCAtm3bYufOnTXOmFNfZDIZJk2ahM6dOyM2NhZarRZ79uxBXl4ewsLCajw/rG0I5BJFA5TUe4QPDoJYJiIoyICgoMYujS1BIiAkIggQBA6S9zKsG+/EevFerBvvxHrxXjqjFnC8RJxjRrgVGDYYbywTORUfH9/YRahboJebm4vhw4fj8uXLAIBly5Zh+vTpbuezZcsWTJ8+HUajEa1atcLu3bsbdXFBs0cffRSxsbE4ePAgRFHE5cuXXQr08q4VPlCzbvpHyFEhlSJ7TxE0N3WNXRw7gkQARBG51wr5H7CXYd14J9aL92LdeCfWi/fSi+59L2GLHvmSWgd6RUVFGDlyJM6cOQPAtHL8nDlz3M5n9+7dmDJlCvR6PcLCwrBz50507NixtsXyuNatW1u2a1ofxEw0ihAfoOmRQh71R3muDuob3rseoShW1gv/A/Y6rBvvxHrxXqwb78R68U5uj5HiZCzkQ2oV6Gk0GowZMwYnTpwAALz11lt4/fXX3c7n8OHDSEhIQEVFBZo0aYKff/4ZPXr0qE2R6oUoisjIyABgmv2mbdu2jVwi76MIkyIgSoFbu4obuyhEREREdSOKpoe38cYykddzO9DTarUYP348Dh06BACYN28ePvjgA7cv/Msvv2DMmDFQq9UICAjATz/9hJ49e7qdT20MHDgQL774IiZNmuR0jbz3338fFy5cAADExcU12phBbxb6qAq6EgNKL1XUnJiIiIiIyMf85S9/8XieCxcurHMebgd6Tz31FHbs2AEAGDJkCGbMmIFTp05Vmz4gIADt27e32Xfp0iWMHDkShYWFAIAPPvgAwcHBTvOJjIxESEiIu8V16MyZM3j66acxd+5cJCQkoH///ujYsSOCg4NRWlqKX3/9Fd9++60lmFUoFPj88889cm1fIguUIKiTH+4eLmWXAiIiIrrvccF0qo333nvP4zPuN0qg98MPP1i29+zZg0ceecRp+vj4eOzbt89m34EDB5CTk2P5+5VXXqnxusnJyXj++efdKmt1IiMjkZeXh7y8PKxcuRIrV66sNm2rVq2QnJyMPn36eOTaviS4hz+MWhHF58obuyhEREREdceum1RLnlwzz1NBo8cWTL+f/PLLL8jIyMDOnTtx+PBhnD17Frdu3YJarYZKpUJ4eDgefvhhjBkzBlOnTkWQt60X4CX8W8mhuaGFqG/skhARERHVnWA0PbyNN5aJqnjDmnmOuB3oeSJaff755z3WOldbMTExiImJadQy3M8UTaXwbynH7TNljV0UIiIiIs9gix7VgjesmefIA9miR3XXpJsSerUBJRc5CQsRERH5CC6vQD7EtYXhiO6hCJWhPEcPsCsBEREREZHXYYse1YoiRIqSTLbmERERke8QRBGCF3aT9MYykfdjoEduE2SAPEgKbSFnYSEiIiIfwjF65EMY6JHbFCGmt422wNDIJSEiIiLyIBHeOSyFcR7VAgM9cpuiqRQAoCtkoEdERES+g103yZcw0CO3qaIUqMjVw6jjhw4RERH5EBHe2U3SC4tE3o+zbpLb/MJkKLula+xiEBERERFRNdiiR26TKAQYKryxAzsRERFRHXAyFvIhDPTILVKVBPJAKXRFHJ9HREREPsYIQGjsQjjA39epFhjokVsC2iogGkWor2sbuyhEREREHsXJWMiXMNAjtwR19EPZbR2MFfzAISIiIh/DrpvkQxjokctkQRKoIhW4vbe4sYtCRERE5HkM9MiHcNZNcllAGwVEg4jSSxWNXRQiIiIiInKCLXrkMkVTGbSFBoj6xi4JERERUT1gix75EAZ65DJFqBTaAkZ5RERE5KM46yb5EAZ65BJBBiiby5F/XN3YRSEiIiKqF5x1k3wJAz1ySUA7P0jkAko4Po+IiIh8Fbtukg9hoEcuCepkWlZBX8K+A0REROSjjCIgeGFQZfTCMpHXq9WsmydOnMBHH32EUaNGISoqCn5+fggMDESXLl3w29/+FgcPHqx1gTQaDTp06ABBECAIAtq1a1fjOdnZ2Xj++efRvHlzqFQqxMfHY9euXTWep9PpsGbNGkyYMAHt2rWDSqWCSqVC27ZtERsbi+effx6rVq3ClStXav18fIFEKSAgSoGSzPLGLgoREREREbnA7Ra9+Ph4pKSk2O3XarXIzMxEZmYmVq1ahWnTpiEpKQkKhcKt/BcuXOhWYJWdnY0+ffogKyvLsi8lJQUjR47E6tWr8eyzzzo8LzMzE5MmTcLJkyftjl2/fh3Xr1/HsWPHsHr1agBAWVkZlEqlW8/FVwR18AMEcFkFIiIi8m3sukk+xO1A7+bNmwCAiIgITJ48GQMGDECbNm1gMBhw5MgRLF68GDdv3sQ333wDvV6P7777zuW8MzIykJiYCKVSCblcjpKSkhrPeeWVV5CVlYV+/frhzTffRGhoKDZs2IDExETMnj0bo0aNQlhYmM05+fn5GDJkiCU4jI+Px7PPPovu3btDpVKhoKAAp06dwt69e7F9+3aUlZW58Qr5GAkQ1EUJTZYOhnJ+yBAREZEv89JAD95YJvJ2bgd63bp1w0cffYSJEydCKpXaHOvbty+mTZuGuLg4XLhwAWvWrMHs2bMxcODAGvM1GAyYOXMmDAYD3n33XaxYsaLGQK+iogKbN29GVFQUdu7ciYCAAABAXFwcjEYjli5dim3btmH69Ok25y1atMgS5L377rt477337PIePHgw5s6di5KSEiQnJ9s91weCBOjwfBikCglu7y5u7NIQERER1S+26JEPcXuM3tatWzFlypRqA59mzZph8eLFlr/Xr1/vUr5Lly7F8ePH0bVrV7z++usunZOXl4eKigrExsZagjyzoUOHAqhqgbS2adMmAEB4eDgWLlzo9BpBQUH4wx/+ALlc7lKZfIlMJYFUYXqLqK9pG7k0RERERPXMKHrvg8hN9TLr5qBBgyzbly5dqjH9tWvXLAHXl19+6fK4vtDQUMhkMqSnp0Oj0UClUlmO7du3DwDQsmVLu/OuX78OAGjfvj0kklrNR/NA0JcakZemRtNeKoj8gCEiIiJfJxpND2/jjWUir1cvUY5WW9X640qXx5deeglqtRrTpk3D4MGDXb6Ov78/Ro4ciWvXrmHEiBHYtm0bDh8+jAULFiAxMREqlQqjR4+2O88cSF68eBF6vd7l6z2I5MFSVOTqIfJlIiIiIiK6b9RLoLd//37LdnR0tNO0a9euxU8//YTQ0FB8/vnnbl8rMTERYWFhOHToEMaOHYu4uDh89tlnEEURX3zxBcLDw+3OiYmJAQDk5uZi/vz5NoEp2fKPkKPslq6xi0FERERU/8xj9LzxQeQmjwd6RqMRixYtsvw9efLkatMWFBRg/vz5AEwTpLRo0cLt63Xq1AlpaWmYMmUKQkJCoFQq0a9fP2zduhUzZsxweM7cuXMt23//+9/Rpk0bzJw5E8nJyThz5gxE3kwAAFmgBPIgKQM9IiIiejA09jg8jtEjD/L4GL0lS5YgLS0NADB+/Hj06tWr2rSvvfYa7ty5g379+mHmzJm1vmaHDh3w/fffu5x+0qRJWLhwId5//32Ioog7d+4gKSkJSUlJAICQkBAMHDgQU6dOxeTJkx/IiVgAQBWlgCiKKLvNQI+IiIgeAN7aeuaNZSKv59EWvf379+NPf/oTAKBFixb48ssvq02bkpKClStXQiaT4auvvoIgCJ4sSo3+/Oc/IzU1FRMnToSfn5/NscLCQmzZsgXPPPMMevTogfT09AYtm7cIjlZCc10LI9fPIyIiogeBiMbvounw0dgvDN2PPNaid/r0aYwfPx56vR5KpRLr1q1zOD4OMK1/N2vWLIiiiHnz5uGRRx7xVDHcEhsbi/Xr10OtVuPw4cM4evQojh8/jpSUFOTn5wMAMjMzMWjQIKSmpuKhhx5qlHI2Br9mMihbyJH9n6LGLgoRERFRw2CLHvkQjwR6V65cwYgRI1BQUACpVIq1a9c6XST9ww8/xPnz5xEVFeVwsfKGFhAQgOHDh2P48OEAAL1ej02bNmH+/Pm4efMm1Go15s+fj127drmUnyARGryF0pNkgRI0HxAIXbEBmiwdBMn9+1wAc33gvn8evoh1451YL96LdeOdWC/eSxAFgCsT0AOqzoFednY2hg0bhuzsbAiCgJUrVyIhIcHpOZ988gkAYNiwYdi6davDNGq12vLv2rVrAZi6gw4ZMqSuRa6RTCbDpEmT0LlzZ8TGxkKr1WLPnj3Iy8tDWFhYjeeHtQ2BXOLaWoDeqMWgICibyXBnfwmatQ1t7OLUmSAREBIRBAgC1wP0Mqwb78R68V6sG+/EevFeOqMWuOLGCUYjvDIyNHphmcjr1SnQy83NxfDhw3H58mUAwLJlyzB9+vQazzMvZ5CcnIzk5OQar/HUU08BAOLj4xsk0DN79NFHERsbi4MHD0IURVy+fNmlQC/vWiFkwv05gYtEIaCJIMGd/RrkHStr7OJ4hCARAFFE7rVC/gfsZVg33on14r1YN96J9eK99KKbE8qx6yb5kFoHekVFRRg5ciTOnDkDwLQ8wpw5czxWMG/RunVry7ZE4trcNaJRhCjcnzdkUGclBAlQcLLMp/6zEsXKevGh5+QrWDfeifXivVg33on14p3cXjKLgR75kFoFehqNBmPGjMGJEycAAG+99RZef/11l8935aZr164drl27hrZt2+Lq1au1KWadiaKIjIwMAIAgCGjbtm2jlKMhNYlWovRqBQxl/EAhIiKiB4xRhFdOcckfEKgW3F5eQavVYvz48Th06BAAYN68efjggw88XrD6NHDgQKxZswY6nfPm/Pfffx8XLlwAAMTFxaFZs2YNUbxGIQ2QIDIhBH5NZSg+W97YxSEiIiJqcKJo9NoHkbvcbtF76qmnsGPHDgDAkCFDMGPGDJw6dara9AEBAWjfvn3tS1gPzpw5g6effhpz585FQkIC+vfvj44dOyI4OBilpaX49ddf8e2331qCWYVCgc8//7yRS12/FMFS+LeSQ1tkmmmTiIiIiIjuX24Hej/88INle8+ePTWugRcfH499+/a5XbD6FBkZiby8POTl5WHlypVYuXJltWlbtWqF5ORk9OnTpwFL2PD0pQYAwN0DJY1cEiIiIqJGIore2U2SY/SoFjy2YPr95JdffkFGRgZ27tyJw4cP4+zZs7h16xbUajVUKhXCw8Px8MMPY8yYMZg6dSqCgoIau8j1Th5ieitoCw2NXBIiIiKiRiJ66Rg9BnpUC24Hem7PXlRL9T0BS0xMDGJiYur1GvcTRagURp0IfSn7gBMREdEDymgEBC/8LsQxelQLD2SLHtnzD5dDW6Bv7GIQERERNR626JEPYaBHkAVIENBOgbuHShu7KERERESNRjQaIXphix5n3aTacHt5BfI9wT38YdSJKL5Q0dhFISIiIiIPu379Ol599VVER0cjICAATZs2RWxsLD7//HNoNJrGLh7VE7boPeAEKRAcrUTx+XKIOnYLICIiogeYD3bd3LZtG5555hkUFRVZ9mk0Ghw7dgzHjh1DUlISfvrpJ3To0METJSUvwha9B1zII/6Q+AkoOlXW2EUhIiIialxG0XsftfDf//4XU6ZMQVFREQIDA/Hhhx/i8OHD2L17N2bOnAkAOH/+PMaMGYPSUg7h8TVs0XvABXf3R/H5cuiK2febiIiIHnCiCMALvxPVskVv/vz50Gg0kMlk2LFjB/r162c5NmTIEHTu3BkLFizAuXPn8Ne//hULFy70VInJC7BF7wHWtLcK8iApynM42yYRERGRaBS99uGuY8eOYd++fQCAGTNm2AR5Zn/84x8RHR0NAEhMTIROp6vT60fehYHeA8q/tRxhPQOQl65G8bnyxi4OERERUeMTjd77cNOmTZss27/97W8dppFIJJg+fToAoKCgwBIYkm9goPeAihwXAgCmIM8LxxwTERERUe0dOHAAABAQEICePXtWmy4+Pt6yffDgwXovFzUcjtF7AEnkgmWb628SERERmYhGEaLgfV+OxFp8YTt79iwAoFOnTpDJqv/K361bN7tzyDcw0KsH39z4G5o0adLYxXDo0qVLWL16NUpLSzFu3DgMXjTYYbqE4OkNXLL6I4gCdEYt9KKuVh+UVH9YN96J9eK9WDfeifXivfRwb8yZXqyoVTfJ+mZ+HsXFxTb7/fz84OfnZ5e+vLwcubm5AIDIyEineYeGhiIgIABqtRo3btzwUInJGzDQ8yCFQoGWLVsiKiqqsYvikhUrVjR2ERqGEcCVxi4EOcS68U6sF+/FuvFOrBev1rJlSygUCqdpzN/hDt7+qYFK5b7AwEC775jvvvsu3nvvPbu0JSUlNufVxBzocYkF38JAz4OUSiWuXLkCrVbb2EUhIiIiIpiCOKVS6TTN/fAdThRFCIJgs89Rax5gatEzqynItc6nrIzrKvsSBnoeplQqa/wwISIiIiLv4kvf4ayfhyvBa0VFBQDA39+/3spEDY+zbhIRERER+ZCgoCDLtivdMdVqNQDXunnS/YOBHhERERGRD1EqlWjWrBkAICsry2nagoICS6B3v8wzQa5hoEdERERE5GOio6MBABcvXoRer6823blz5+zOId/AQI+IiIiIyMf0798fgKlb5vHjx6tNt3//fst2XFxcvZeLGg4DPSIiIiIiH/Pkk09atpOTkx2mMRqN+Ne//gUACAkJweDBjtdXpvsTAz0iIiIiIh8TGxuLAQMGADCtnXzkyBG7NIsXL8bZs2cBAPPmzYNcLm/QMlL9YqBHDUoQBJcegwYNqjGv7du3Y8KECYiMjISfnx8iIyMxYcIEbN++3aWyZGdn4/nnn0fz5s2hUqkQHx+PXbt2VZv+6tWrLpff/Hj++eddfGUaV13rZdWqVS7nsWrVKqdlYb04d/PmTfzlL39B79690bx5cyiVSkRFRaF///545513cOrUKafn876pH7WpF943njdo0CC3n9e+ffuqzY/3C93vli5dCn9/f+j1eowYMQIff/wxUlNTsXfvXrzwwgtYsGABAKBLly744x//2MilJY8TiRoQAJce8fHx1eZhNBrFWbNmOT1/1qxZotForDaPmzdvipGRkXbnSSQS8ZtvvnF4zpUrV1wuv/nx3HPP1fEVaxh1rZfk5GSX80hOTq62HKwX5/75z3+KQUFBTp/bvHnzHJ7L+6b+1LZeeN94Xnx8vFvPSSKRiFlZWXb58H4hX7JlyxaxSZMm1b6HunTpImZmZjZ2MakecMF0ahQvvvgiXnrppWqPBwQEVHvs7bffxvLlywEAMTExWLBgATp27IhLly7h008/RUZGBpYvX47mzZvjgw8+cJjHK6+8gqysLPTr1w9vvvkmQkNDsWHDBiQmJmL27NkYNWoUwsLCqi1DQkJCtXlbCw0NrTGNN6lLvZj9/PPPiIiIqPZ4ZGRktcdYL9VLTEzEK6+8AgBo06YNZs+ejb59+6JJkya4efMmLly4gE2bNkEicdxRg/dN/ahrvZjxvvGM5ORkyzTx1Tlz5gymTp0KABg6dChat25tl4b3C/mScePG4eTJk1i6dCm2bduGrKwsKBQKdOrUCZMnT8bLL78MlUrV2MWk+tDYkSY9WFD569G7775bq/MzMzNFmUwmAhB79eolajQam+NqtVrs1auXCECUyWTixYsX7fIoLy8X/fz8xKioKLG0tNTm2Lx580QA4urVq+3Os/6l1dd+Qa1rvVi3TFy5cqVWebBeqpeamipKJBIRgDh27Fi79701rVZrt4/3Tf2oa73wvmkcCxYssDx3Ry1rvF+IyFdwjB7dV5YsWWJZC2bZsmXw9/e3Oa5SqbBs2TIAgF6vR2Jiol0eeXl5qKioQGxsrF0L1dChQwGYxttQw2K9VO/FF1+E0WhE27ZtsXbtWrv3vTVHA+l539SPutaLJ7Be3GM0GvHvf/8bABAYGIgJEybYpeH9QkS+goEe3TdEUcTmzZsBAN26dUPfvn0dpuvbty+6du0KANi0aRNEUbQ5HhoaCplMhvT0dGg0Gptj5kH5LVu29HDpqSasF8eOHDmCjIwMAMBrr73mUvdZa7xv6kdd68VTWC/u2b17tyXAmjRpkl13Nd4vRORLGOjRfePKlSuW/6Dj4+OdpjUfz8rKwtWrV22O+fv7Y+TIkbh27RpGjBiBbdu24fDhw1iwYAESExOhUqkwevToenkOVD3Wi2Pr1q2zbE+ePNmynZeXh8zMTBQWFjo9n/dN/ahrvXgK68U95vXCAGD69Ol2x3m/EJFPacx+o/TgQeXYg+7du4tdunQRlUqlGBgYKHbq1EmcPn26uGfPnmrP3bp1q+X8JUuWOL3OX//6V0vabdu22R3PzMwUw8LC7GaeEgRBTEpKcpinL4+dqEu9iKLtWKP4+HixRYsWolwuF8PCwsQ+ffqIb731lsOZ7e7FerH3+OOPiwDEDh06iEajUfzqq6/ELl262Lw+0dHR4pIlS8SKigq783nf1I+61oso8r5paCUlJWJAQIAIQGzTpo3DGTN5vxCRL+Gsm9Qozpw5Y/P3xYsXcfHiRfzrX//Ck08+iVWrViE4ONgmzY0bNyzbzmagA4CoqCiH55l16tQJaWlpeOONN7Bjxw6Ul5cjJiYGb7/9tku/shYWFta4Xpn5OkqlssZ03qI29XKv/fv3W7bz8vKQl5eHo0ePYvHixUhMTMQLL7xQ7bmsF3vmOmnbti2eeeYZrFmzxi7N2bNn8corr+CHH37Ajz/+aFNHvG/qR13r5V68b+rfhg0bLDNyTps2DYIg2KXh/UJEPqWxI016sKhUKvE3v/mN+M9//lM8cOCAmJGRIe7YsUN86623bH75jI+Pt5ul7tNPP7Uc/89//uP0Oj/99JMl7eeff+6RstdmfaOMjAyPXLu+1aVeRNHUMtGhQwfx1VdfFTds2CCmpaWJaWlp4tq1a8XJkyeLgiBY8vj66689WnZfrheDwWB57fz8/EQAYsuWLcVvvvlGzM/PFzUajbh//36xb9++luc2adIkmzx433ieJ+pFFHnfNLQhQ4ZYnsv58+cdpuH9QkS+hIEeNaiCgoJqj92+fVuMiYmx/Oe1dOlSm+N/+ctfLMd2797t9Dq7d++2pH3//fc9UXSf/g+4LvUiiqJYWFjodOHgH3/8UZTL5SIAUaVSibdu3fJEsUVR9O16KSkpsSm3SqUSz507Z5dOo9GIjz76qCXd0aNHLcd433ieJ+pFFHnfNKQbN25YlsLo27dvtel4vxCRL+FkLNSgQkJCqj0WHh6O9evXQ6FQAIBl+moz664pWq3W6XUqKios286mPK+t5557DqLphxKnj8cee8zj164PdakXAAgODnbYDcps7NixePfddwEAGo0GK1asqFuBq+Fr9XJvd6zf//73lpn+rPn7++PDDz+0/L127VqHefC+8QxP1AvA+6YhffvttzAajQBMz7c6vF+IyJcw0COv0qFDBwwfPhyAaXxYdna25VhQUJBlu7S01Gk+5nEYgGmtJKobZ/XiqpkzZ1q+1FqPR6LqyWQymy+eI0eOrDbt0KFDIZOZhl2np6db9vO+8TxP1IureN94xjfffAMA8PPzw9SpU6tNx/uFiHwJAz3yOt27d7dsWy8oaz0wPisry2ke1gPjrQfMU+1VVy+uatGiBZo1a1br8x9U1u9fZ5NDKJVKy+ubk5Pj8BzeN55T13pxFe+buktPT7dMnjN27FiEhoZWm5b3CxH5EgZ65HXEexaeNbMONM6dO+c0D+vj0dHRninYA666emnoPB401u97g8HgNK35uLkF6d7zed94Tl3rxR28b+rGeu08Z902Ad4vRORbGOiR17Ge4j8iIsKy3b59e8vfNXVhSklJAQC0bt0a7dq183whH0DV1YurcnJykJeXV+vzH1QDBw60bF++fLnadMXFxcjNzQVget+b8b6pH3WtF1fxvqkbnU5nGRvZvHlzjBo1yml63i9E5EsY6JFXuXz5Mnbu3AnANC7M+ouRIAhISEgAYPolNTU11WEeqampll9aExISnE52QK5xVi+uWr58uaVlIj4+3qPl82Xjx4+3vIc3btxYbbqNGzdaXt8BAwZY9vO+qR91rRdX8b6pm//85z+4e/cuAODpp5+usVWV9wsR+RSPzuFJ5MSWLVtEnU5X7fF7p/FfvHixXZrz58+LMplMBCD26tVL1Gg0Nsc1Go3Yq1cvEYAok8nECxcueKz81tNeP/fccx7Lt7HVtV6uXLkinjhxwuk1fvzxR1GhUIgARKVSKWZlZXmk7Obr+2K9WJsyZYoIQJRIJOKuXbvsjt+6dUuMjIwUAYgKhcLu9eV9Uz/qUi+8bxrGxIkTLc/z+PHjLp3D+4WIfEXtBgwQ1cLcuXOh0+kwceJE9OvXD+3atYO/vz9yc3Oxb98+fP3115YuTv3798ecOXPs8ujSpQteffVVLFq0COnp6YiLi8Prr7+Ojh074tKlS/jkk0+QkZEBAHjttdfQuXPnenkuhYWFOHXqVI3pFAoFunTpUi9l8JS61svVq1cxePBg9OvXD+PGjcNjjz2GFi1aQBRFXL58GevXr8f69estrRKff/55rVoEXeFL9WLt008/xd69e3H37l2MHTsW8+fPx+jRo+Hv74+0tDR8/PHHlokj3n//fbvXl/dN/ahLvfC+qX8FBQXYunUrAOChhx7C//zP/7h0Hu8XIvIZjRtn0oOkbdu2Li3+OnHiRKcLeBsMBvF3v/ud0zxmzJghGgwGj5a/NgvZtm3b1qNlqA91rZe9e/e6dL5KpRK//vprj5ffV+vlXmlpaWLr1q2rfU6CIIhvvfVWtefzvqkfta0X3jf178svv7SU/dNPP3XrXN4vROQLBFHkdF7UMPbv34/9+/fjyJEjuHz5MnJzc1FcXIzAwEBERUXh8ccfx3PPPYd+/fq5lN9PP/2E5cuX49ixY8jNzUWzZs3Qu3dvvPDCCzUOuK+Nq1evon379m6d07ZtW1y9etXjZfGkutZLSUkJtmzZgiNHjiA9PR23bt1Cbm4u9Ho9QkND0aNHDwwdOhS///3v0aJFC4+X31frxZHCwkL87W9/w8aNG3Hp0iWUl5cjIiIC8fHxePnll9GzZ88a8+B943m1qRfeN/UvLi4Ohw8fhlQqxfXr12s1mQ3vFyK6nzHQIyIiIiIi8jGcdZOIiIiIiMjHMNAjIiIiIiLyMQz0iIiIiIiIfAwDPSIiIiIiIh/DQI+IiIiIiMjHMNAjIiIiIiLyMQz0iIiIiIiIfAwDPSIiIiIiIh/DQI+IiIiIiMjHMNAjIiIiIiLyMQz0iIiIiIiIfAwDPSIiIiIiIh/DQI+IiIiIiMjHMNAjIiIiIiLyMf8fyVc2srdi8vYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 900x1300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_tc_haz.plot_intensity(-1,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3a4ad949-bfbd-481b-8763-49bd8f062bfa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'FRANCISCO'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x1300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "event_track.plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c4ce2de3-10e0-42b9-9b5a-7b9509009bed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'FRANCISCO'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "event_track.data[0].name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "084cbbe1-3c44-4958-967f-de3c948761c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                 (time: 289)\n",
       "Coordinates:\n",
       "  * time                    (time) datetime64[ns] 2020-02-03T06:00:00 ... 202...\n",
       "    lon                     (time) float64 63.9 63.87 63.83 ... 48.94 48.87 48.8\n",
       "    lat                     (time) float64 -13.1 -13.16 -13.21 ... -19.95 -20.0\n",
       "Data variables:\n",
       "    radius_max_wind         (time) float64 0.0 0.0 0.0 0.0 ... 6.667 3.333 0.0\n",
       "    radius_oci              (time) float64 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    max_sustained_wind      (time) float64 28.41 28.41 28.41 ... 46.4 45.45\n",
       "    central_pressure        (time) float64 1.007e+03 1.007e+03 ... 998.3 999.0\n",
       "    environmental_pressure  (time) float64 1.007e+03 1.007e+03 ... 1.005e+03\n",
       "    time_step               (time) float64 1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0\n",
       "    basin                   (time) &lt;U2 &#x27;SI&#x27; &#x27;SI&#x27; &#x27;SI&#x27; &#x27;SI&#x27; ... &#x27;SI&#x27; &#x27;SI&#x27; &#x27;SI&#x27;\n",
       "Attributes:\n",
       "    max_sustained_wind_unit:  kn\n",
       "    central_pressure_unit:    mb\n",
       "    orig_event_flag:          True\n",
       "    data_provider:            ibtracs_official\n",
       "    category:                 0\n",
       "    name:                     FRANCISCO\n",
       "    sid:                      2020034S13063\n",
       "    id_no:                    2020034113063.0</pre><div class='xr-wrap' style='display:none'><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-c5383975-6894-40a6-a4f2-734857e3ffa8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c5383975-6894-40a6-a4f2-734857e3ffa8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 289</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a8b36783-2e9a-4730-88a3-b0434f82c8f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8b36783-2e9a-4730-88a3-b0434f82c8f0' class='xr-section-summary' >Coordinates: <span>(3)</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 class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-02-03T06:00:00 ... 2020-02-...</div><input id='attrs-510b6f99-54a3-44ca-82d5-5b0fdc85775a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-510b6f99-54a3-44ca-82d5-5b0fdc85775a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a9c118a-5f26-4d18-993d-d8cdb428d39a' class='xr-var-data-in' type='checkbox'><label for='data-6a9c118a-5f26-4d18-993d-d8cdb428d39a' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-02-03T06:00:00.000000000&#x27;, &#x27;2020-02-03T07:00:00.000000000&#x27;,\n",
       "       &#x27;2020-02-03T08:00:00.000000000&#x27;, ..., &#x27;2020-02-15T04:00:00.000000000&#x27;,\n",
       "       &#x27;2020-02-15T05:00:00.000000000&#x27;, &#x27;2020-02-15T06:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>63.9 63.87 63.83 ... 48.87 48.8</div><input id='attrs-8ef077c5-a1d6-4195-9cda-226ba903d5d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ef077c5-a1d6-4195-9cda-226ba903d5d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2ca11ef-e715-459b-8363-193133d0c1e2' class='xr-var-data-in' type='checkbox'><label for='data-a2ca11ef-e715-459b-8363-193133d0c1e2' 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'></dl></div><div class='xr-var-data'><pre>array([63.90000153, 63.86827496, 63.83462097, 63.80000305, 63.76538471,\n",
       "       63.73172945, 63.70000076, 63.6701988 , 63.63847026, 63.59999847,\n",
       "       63.55382023, 63.51438608, 63.5       , 63.52192258, 63.56324086,\n",
       "       63.59999847, 63.61774488, 63.64005279, 63.70000076, 63.82005736,\n",
       "       63.98025135, 64.15000153, 64.30573488, 64.4519112 , 64.59999847,\n",
       "       64.75885702, 64.92691639, 65.09999847, 65.27364362, 65.44226605,\n",
       "       65.59999847, 65.7428557 , 65.87438106, 66.        , 66.1252983 ,\n",
       "       66.25650302, 66.40000153, 66.5596578 , 66.72924216, 66.90000153,\n",
       "       67.06570883, 67.23024114, 67.40000153, 67.57936771, 67.7646159 ,\n",
       "       67.94999695, 68.13163408, 68.31314006, 68.5       , 68.6959377 ,\n",
       "       68.89763152, 69.09999847, 69.29942553, 69.49817945, 69.69999695,\n",
       "       69.90819993, 70.12445113, 70.34999847, 70.5825752 , 70.80585579,\n",
       "       71.        , 71.15223389, 71.2780486 , 71.40000153, 71.53441821,\n",
       "       71.67269667, 71.80000305, 71.90640184, 72.00155082, 72.1000061 ,\n",
       "       72.21036939, 72.31742468, 72.40000153, 72.44473851, 72.46951015,\n",
       "       72.5       , 72.55142433, 72.59713046, 72.59999847, 72.53474653,\n",
       "       72.42344518, 72.30000305, 72.19107254, 72.09428111, 72.        ,\n",
       "       71.90097325, 71.79943618, 71.69999695, 71.60502865, 71.50796422,\n",
       "       71.40000153, 71.27520131, 71.13907578, 71.        , 70.86454076,\n",
       "       70.73203177, 70.59999847, 70.4666326 , 70.33279103, 70.19999695,\n",
       "...\n",
       "       59.25452894, 59.14417448, 59.        , 58.80954422, 58.58624111,\n",
       "       58.34999847, 58.11840148, 57.89974486, 57.70000076, 57.5224019 ,\n",
       "       57.35922334, 57.20000076, 57.03643928, 56.86892182, 56.70000076,\n",
       "       56.53184556, 56.36509395, 56.20000076, 56.03618306, 55.87070695,\n",
       "       55.70000076, 55.52157494, 55.33726825, 55.15000153, 54.96270853,\n",
       "       54.77837473, 54.59999847, 54.42944481, 54.26404537, 54.09999847,\n",
       "       53.9343188 , 53.76728659, 53.59999847, 53.43327084, 53.26679911,\n",
       "       53.09999847, 52.93258869, 52.76550781, 52.59999847, 52.43636524,\n",
       "       52.27116048, 52.09999847, 51.92194118, 51.74984113, 51.59999847,\n",
       "       51.48326831, 51.38872535, 51.29999924, 51.20423745, 51.10265881,\n",
       "       51.        , 50.89977886, 50.80063789, 50.70000076, 50.59664864,\n",
       "       50.49479268, 50.40000153, 50.3154845 , 50.23501361, 50.15000153,\n",
       "       50.05623709, 49.96701386, 49.90000153, 49.86698357, 49.85619848,\n",
       "       49.84999847, 49.83509017, 49.81559761, 49.79999924, 49.79450108,\n",
       "       49.79621969, 49.79999924, 49.80171552, 49.80137086, 49.79999924,\n",
       "       49.79863228, 49.79829229, 49.79999924, 49.80375079, 49.80545541,\n",
       "       49.79999924, 49.78450815, 49.7650669 , 49.75      , 49.74339898,\n",
       "       49.73242362, 49.70000076, 49.63449003, 49.54598218, 49.45000076,\n",
       "       49.35938601, 49.27624482, 49.20000076, 49.12982234, 49.06385772,\n",
       "       49.        , 48.93614228, 48.87017766, 48.79999924])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-13.1 -13.16 ... -19.95 -20.0</div><input id='attrs-7d146d29-3d00-4d95-9ca7-bd4dd3116288' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d146d29-3d00-4d95-9ca7-bd4dd3116288' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24037b22-891b-468b-ba41-aa518bb07dc2' class='xr-var-data-in' type='checkbox'><label for='data-24037b22-891b-468b-ba41-aa518bb07dc2' 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'></dl></div><div class='xr-var-data'><pre>array([-13.10000038, -13.15985019, -13.20788008, -13.25      ,\n",
       "       -13.29211992, -13.34014981, -13.39999962, -13.47537307,\n",
       "       -13.56114891, -13.64999962, -13.73601524, -13.81895599,\n",
       "       -13.89999962, -13.98056368, -14.06302486, -14.14999962,\n",
       "       -14.24172775, -14.3289423 , -14.39999962, -14.44696749,\n",
       "       -14.47675934, -14.5       , -14.52595643, -14.55846404,\n",
       "       -14.60000038, -14.65105939, -14.70420062, -14.75      ,\n",
       "       -14.78462212, -14.82658609, -14.89999962, -15.02156251,\n",
       "       -15.17834275, -15.35000038, -15.51801628, -15.67115457,\n",
       "       -15.80000019, -15.89896657, -15.97778099, -16.04999924,\n",
       "       -16.12685725, -16.21031165, -16.29999924, -16.39545198,\n",
       "       -16.49578247, -16.59999847, -16.7061434 , -16.80840323,\n",
       "       -16.89999962, -16.97626435, -17.0409698 , -17.09999847,\n",
       "       -17.15916439, -17.22400749, -17.29999924, -17.39077468,\n",
       "       -17.49262337, -17.59999847, -17.70736003, -17.8091956 ,\n",
       "       -17.89999962, -17.97607511, -18.04095942, -18.09999847,\n",
       "       -18.15870471, -18.22325663, -18.29999924, -18.39280262,\n",
       "       -18.4956372 , -18.59999847, -18.69970795, -18.79789116,\n",
       "       -18.89999962, -19.01021109, -19.12760825, -19.25      ,\n",
       "       -19.37426074, -19.49352689, -19.60000038, -19.689043  ,\n",
       "...\n",
       "       -18.33076582, -18.29999924, -18.26099985, -18.22316305,\n",
       "       -18.20000076, -18.20118488, -18.22102732, -18.25      ,\n",
       "       -18.27870745, -18.29828466, -18.29999924, -18.27842833,\n",
       "       -18.24138723, -18.20000076, -18.16313387, -18.13061192,\n",
       "       -18.10000038, -18.06903944, -18.03616809, -18.        ,\n",
       "       -17.96070989, -17.9247165 , -17.89999962, -17.89182397,\n",
       "       -17.89459412, -17.89999962, -17.9016217 , -17.90060844,\n",
       "       -17.89999962, -17.90168694, -17.90296982, -17.89999962,\n",
       "       -17.89162826, -17.88750998, -17.89999962, -17.93735329,\n",
       "       -17.9914323 , -18.04999924, -18.10339992, -18.1523131 ,\n",
       "       -18.20000076, -18.24904599, -18.29931632, -18.35000038,\n",
       "       -18.40041935, -18.45042459, -18.5       , -18.54927812,\n",
       "       -18.59898607, -18.64999962, -18.7024674 , -18.75362959,\n",
       "       -18.79999924, -18.83899741, -18.87167717, -18.89999962,\n",
       "       -18.92672457, -18.95780684, -19.        , -19.05780651,\n",
       "       -19.12672445, -19.20000076, -19.27168058, -19.33900158,\n",
       "       -19.39999962, -19.45362108, -19.50245457, -19.54999924,\n",
       "       -19.59901752, -19.64932505, -19.70000076, -19.7503078 ,\n",
       "       -19.80024624, -19.85000038, -19.89975452, -19.94969296,\n",
       "       -20.        ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6cea0f9-9efd-4208-8494-108146a166b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b6cea0f9-9efd-4208-8494-108146a166b0' class='xr-section-summary' >Data variables: <span>(7)</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>radius_max_wind</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 6.667 3.333 0.0</div><input id='attrs-64247da0-6328-458a-9a88-e90f37218071' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64247da0-6328-458a-9a88-e90f37218071' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45f53d47-fc30-4d59-a75a-e0a5859601cc' class='xr-var-data-in' type='checkbox'><label for='data-45f53d47-fc30-4d59-a75a-e0a5859601cc' 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'></dl></div><div class='xr-var-data'><pre>array([ 0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "...\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n",
       "        0.        ,  3.        ,  6.        ,  9.        ,  9.        ,\n",
       "        9.        ,  9.        ,  8.83333333,  8.66666667,  8.5       ,\n",
       "        8.33333333,  8.16666667,  8.        ,  8.33333333,  8.66666667,\n",
       "        9.        ,  9.33333333,  9.66666667, 10.        , 10.        ,\n",
       "       10.        , 10.        , 10.        , 10.        , 10.        ,\n",
       "       10.        , 10.        , 10.        , 10.        , 10.        ,\n",
       "       10.        , 10.        , 10.        , 10.        , 10.        ,\n",
       "       10.        , 10.        , 10.        , 10.        , 10.        ,\n",
       "       10.        , 10.        , 10.        , 10.        , 10.        ,\n",
       "       10.        ,  6.66666667,  3.33333333,  0.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radius_oci</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-bee272ee-4a27-4851-9519-b8c6767228f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bee272ee-4a27-4851-9519-b8c6767228f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a43fc1f5-9e9c-45e2-9d3a-07e5f26bfcf8' class='xr-var-data-in' type='checkbox'><label for='data-a43fc1f5-9e9c-45e2-9d3a-07e5f26bfcf8' 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'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_sustained_wind</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.41 28.41 28.41 ... 46.4 45.45</div><input id='attrs-8a87bf71-cea4-474f-8607-9d0bb76e8893' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a87bf71-cea4-474f-8607-9d0bb76e8893' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8bf66d1-e654-4991-85ae-5c00e677f5c1' class='xr-var-data-in' type='checkbox'><label for='data-d8bf66d1-e654-4991-85ae-5c00e677f5c1' 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'></dl></div><div class='xr-var-data'><pre>array([28.40909195, 28.40909195, 28.40909195, 28.40909195, 28.40909195,\n",
       "       28.40909195, 28.40909195, 28.78787994, 29.16666794, 29.54545593,\n",
       "       29.92424329, 30.30303065, 30.68181801, 31.25      , 31.81818199,\n",
       "       32.38636398, 32.95454534, 33.52272669, 34.09090805, 34.46969604,\n",
       "       34.84848404, 35.22727203, 35.60606003, 35.98484802, 36.36363602,\n",
       "       36.55302938, 36.74242274, 36.9318161 , 37.12121073, 37.31060537,\n",
       "       37.5       , 37.87878799, 38.25757599, 38.63636398, 39.01515198,\n",
       "       39.39393997, 39.77272797, 40.15151596, 40.53030396, 40.90909195,\n",
       "       41.28787994, 41.66666794, 42.04545593, 42.61363729, 43.18181864,\n",
       "       43.75      , 44.31818136, 44.88636271, 45.45454407, 45.45454407,\n",
       "       45.45454407, 45.45454407, 45.45454407, 45.45454407, 45.45454407,\n",
       "       45.45454407, 45.45454407, 45.45454407, 45.45454407, 45.45454407,\n",
       "       45.45454407, 45.45454407, 45.45454407, 45.45454407, 45.45454407,\n",
       "       45.45454407, 45.45454407, 45.07575734, 44.69697062, 44.3181839 ,\n",
       "       43.9393959 , 43.56060791, 43.18181992, 43.18181992, 43.18181992,\n",
       "       43.18181992, 43.18181992, 43.18181992, 43.18181992, 42.99242655,\n",
       "       42.80303319, 42.61363983, 42.4242452 , 42.23485057, 42.04545593,\n",
       "       42.04545593, 42.04545593, 42.04545593, 42.04545593, 42.04545593,\n",
       "       42.04545593, 41.66666794, 41.28787994, 40.90909195, 40.53030396,\n",
       "       40.15151596, 39.77272797, 39.20454661, 38.63636525, 38.0681839 ,\n",
       "...\n",
       "       28.40909195, 28.40909195, 28.40909195, 28.03030396, 27.65151596,\n",
       "       27.27272797, 26.89393997, 26.51515198, 26.13636398, 25.94696999,\n",
       "       25.75757599, 25.56818199, 25.37878799, 25.189394  , 25.        ,\n",
       "       25.56818199, 26.13636398, 26.70454597, 27.27272797, 27.84090996,\n",
       "       28.40909195, 28.97727331, 29.54545466, 30.11363602, 30.68181801,\n",
       "       31.25      , 31.81818199, 31.81818199, 31.81818199, 31.81818199,\n",
       "       31.81818199, 31.81818199, 31.81818199, 31.81818199, 31.81818199,\n",
       "       31.81818199, 31.81818199, 31.81818199, 31.81818199, 31.81818199,\n",
       "       31.81818199, 31.81818199, 31.81818199, 31.81818199, 31.81818199,\n",
       "       32.19696935, 32.57575671, 32.95454407, 33.33333206, 33.71212006,\n",
       "       34.09090805, 35.0378774 , 35.98484675, 36.9318161 , 37.87878672,\n",
       "       38.82575734, 39.77272797, 41.66666667, 43.56060537, 45.45454407,\n",
       "       47.34848404, 49.24242401, 51.13636398, 51.13636398, 51.13636398,\n",
       "       51.13636398, 51.13636398, 51.13636398, 51.13636398, 50.56818136,\n",
       "       49.99999873, 49.4318161 , 48.86363475, 48.29545339, 47.72727203,\n",
       "       46.78030268, 45.83333333, 44.88636398, 43.93939463, 42.99242528,\n",
       "       42.04545593, 41.66666794, 41.28787994, 40.90909195, 40.53030396,\n",
       "       40.15151596, 39.77272797, 41.66666667, 43.56060537, 45.45454407,\n",
       "       47.34848404, 49.24242401, 51.13636398, 50.18939463, 49.24242528,\n",
       "       48.29545593, 47.34848531, 46.40151469, 45.45454407])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>central_pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.007e+03 1.007e+03 ... 998.3 999.0</div><input id='attrs-d0e29f23-e6a1-4ebf-8197-dac6d6c1df57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0e29f23-e6a1-4ebf-8197-dac6d6c1df57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce38c42c-0012-4cb9-8ea5-c2bb4cf6cc5f' class='xr-var-data-in' type='checkbox'><label for='data-ce38c42c-0012-4cb9-8ea5-c2bb4cf6cc5f' 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'></dl></div><div class='xr-var-data'><pre>array([1007.        , 1006.83333333, 1006.66666667, 1006.5       ,\n",
       "       1006.33333333, 1006.16666667, 1006.        , 1005.66666667,\n",
       "       1005.33333333, 1005.        , 1004.66666667, 1004.33333333,\n",
       "       1004.        , 1003.66666667, 1003.33333333, 1003.        ,\n",
       "       1002.66666667, 1002.33333333, 1002.        , 1001.83333333,\n",
       "       1001.66666667, 1001.5       , 1001.33333333, 1001.16666667,\n",
       "       1001.        , 1000.83333333, 1000.66666667, 1000.5       ,\n",
       "       1000.33333333, 1000.16666667, 1000.        ,  999.83333333,\n",
       "        999.66666667,  999.5       ,  999.33333333,  999.16666667,\n",
       "        999.        ,  998.66666667,  998.33333333,  998.        ,\n",
       "        997.66666667,  997.33333333,  997.        ,  996.66666667,\n",
       "        996.33333333,  996.        ,  995.66666667,  995.33333333,\n",
       "        995.        ,  995.        ,  995.        ,  995.        ,\n",
       "        995.        ,  995.        ,  995.        ,  995.        ,\n",
       "        995.        ,  995.        ,  995.        ,  995.        ,\n",
       "        995.        ,  995.16666667,  995.33333333,  995.5       ,\n",
       "        995.66666667,  995.83333333,  996.        ,  996.16666667,\n",
       "        996.33333333,  996.5       ,  996.66666667,  996.83333333,\n",
       "        997.        ,  997.        ,  997.        ,  997.        ,\n",
       "        997.        ,  997.        ,  997.        ,  997.16666667,\n",
       "...\n",
       "       1002.66666667, 1002.5       , 1002.33333333, 1002.16666667,\n",
       "       1002.        , 1002.        , 1002.        , 1002.        ,\n",
       "       1002.        , 1002.        , 1002.        , 1002.        ,\n",
       "       1002.        , 1002.        , 1002.        , 1002.        ,\n",
       "       1002.        , 1002.        , 1002.        , 1002.        ,\n",
       "       1002.        , 1002.        , 1002.        , 1002.        ,\n",
       "       1002.        , 1002.        , 1002.        , 1002.        ,\n",
       "       1002.        , 1001.66666667, 1001.33333333, 1001.        ,\n",
       "       1000.66666667, 1000.33333333, 1000.        ,  999.33333333,\n",
       "        998.66666667,  998.        ,  997.33333333,  996.66666667,\n",
       "        996.        ,  996.        ,  996.        ,  996.        ,\n",
       "        996.        ,  996.        ,  996.        ,  996.33333333,\n",
       "        996.66666667,  997.        ,  997.33333333,  997.66666667,\n",
       "        998.        ,  998.33333333,  998.66666667,  999.        ,\n",
       "        999.33333333,  999.66666667, 1000.        , 1000.16666667,\n",
       "       1000.33333333, 1000.5       , 1000.66666667, 1000.83333333,\n",
       "       1001.        , 1000.        ,  999.        ,  998.        ,\n",
       "        997.        ,  996.        ,  995.        ,  995.66666667,\n",
       "        996.33333333,  997.        ,  997.66666667,  998.33333333,\n",
       "        999.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>environmental_pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.007e+03 1.007e+03 ... 1.005e+03</div><input id='attrs-7f0d5901-1e1b-486c-af17-5a1ffe36db0d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f0d5901-1e1b-486c-af17-5a1ffe36db0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cabf0f1-f1bf-4fe9-b5ac-807d2ddbb38a' class='xr-var-data-in' type='checkbox'><label for='data-5cabf0f1-f1bf-4fe9-b5ac-807d2ddbb38a' 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'></dl></div><div class='xr-var-data'><pre>array([1007.        , 1006.83333333, 1006.66666667, 1006.5       ,\n",
       "       1006.33333333, 1006.16666667, 1006.        , 1005.66666667,\n",
       "       1005.33333333, 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "...\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        , 1005.        , 1005.        , 1005.        ,\n",
       "       1005.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_step</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-eb61a33c-97de-42c7-b50b-ce58590616aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eb61a33c-97de-42c7-b50b-ce58590616aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a05bfed2-bf7b-4e1d-b1d3-f803d3584e33' class='xr-var-data-in' type='checkbox'><label for='data-a05bfed2-bf7b-4e1d-b1d3-f803d3584e33' 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'></dl></div><div class='xr-var-data'><pre>array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>basin</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;SI&#x27; &#x27;SI&#x27; &#x27;SI&#x27; ... &#x27;SI&#x27; &#x27;SI&#x27; &#x27;SI&#x27;</div><input id='attrs-b54e0773-b8c3-42e5-a724-6a6e1096917a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b54e0773-b8c3-42e5-a724-6a6e1096917a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75773df6-4ad2-4357-822b-9fd12f99b5b7' class='xr-var-data-in' type='checkbox'><label for='data-75773df6-4ad2-4357-822b-9fd12f99b5b7' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;,\n",
       "       &#x27;SI&#x27;, &#x27;SI&#x27;, &#x27;SI&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34021626-4ee7-4cad-b77d-0e536f2b4b8f' class='xr-section-summary-in' type='checkbox'  ><label for='section-34021626-4ee7-4cad-b77d-0e536f2b4b8f' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-020b5bc9-ceea-4818-9c60-9711540a314d' class='xr-index-data-in' type='checkbox'/><label for='index-020b5bc9-ceea-4818-9c60-9711540a314d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2020-02-03 06:00:00&#x27;, &#x27;2020-02-03 07:00:00&#x27;,\n",
       "               &#x27;2020-02-03 08:00:00&#x27;, &#x27;2020-02-03 09:00:00&#x27;,\n",
       "               &#x27;2020-02-03 10:00:00&#x27;, &#x27;2020-02-03 11:00:00&#x27;,\n",
       "               &#x27;2020-02-03 12:00:00&#x27;, &#x27;2020-02-03 13:00:00&#x27;,\n",
       "               &#x27;2020-02-03 14:00:00&#x27;, &#x27;2020-02-03 15:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2020-02-14 21:00:00&#x27;, &#x27;2020-02-14 22:00:00&#x27;,\n",
       "               &#x27;2020-02-14 23:00:00&#x27;, &#x27;2020-02-15 00:00:00&#x27;,\n",
       "               &#x27;2020-02-15 01:00:00&#x27;, &#x27;2020-02-15 02:00:00&#x27;,\n",
       "               &#x27;2020-02-15 03:00:00&#x27;, &#x27;2020-02-15 04:00:00&#x27;,\n",
       "               &#x27;2020-02-15 05:00:00&#x27;, &#x27;2020-02-15 06:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=289, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76218d4d-c418-4a29-924f-c72a3b6ec8d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-76218d4d-c418-4a29-924f-c72a3b6ec8d2' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>max_sustained_wind_unit :</span></dt><dd>kn</dd><dt><span>central_pressure_unit :</span></dt><dd>mb</dd><dt><span>orig_event_flag :</span></dt><dd>True</dd><dt><span>data_provider :</span></dt><dd>ibtracs_official</dd><dt><span>category :</span></dt><dd>0</dd><dt><span>name :</span></dt><dd>FRANCISCO</dd><dt><span>sid :</span></dt><dd>2020034S13063</dd><dt><span>id_no :</span></dt><dd>2020034113063.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                 (time: 289)\n",
       "Coordinates:\n",
       "  * time                    (time) datetime64[ns] 2020-02-03T06:00:00 ... 202...\n",
       "    lon                     (time) float64 63.9 63.87 63.83 ... 48.94 48.87 48.8\n",
       "    lat                     (time) float64 -13.1 -13.16 -13.21 ... -19.95 -20.0\n",
       "Data variables:\n",
       "    radius_max_wind         (time) float64 0.0 0.0 0.0 0.0 ... 6.667 3.333 0.0\n",
       "    radius_oci              (time) float64 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "    max_sustained_wind      (time) float64 28.41 28.41 28.41 ... 46.4 45.45\n",
       "    central_pressure        (time) float64 1.007e+03 1.007e+03 ... 998.3 999.0\n",
       "    environmental_pressure  (time) float64 1.007e+03 1.007e+03 ... 1.005e+03\n",
       "    time_step               (time) float64 1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0\n",
       "    basin                   (time) <U2 'SI' 'SI' 'SI' 'SI' ... 'SI' 'SI' 'SI'\n",
       "Attributes:\n",
       "    max_sustained_wind_unit:  kn\n",
       "    central_pressure_unit:    mb\n",
       "    orig_event_flag:          True\n",
       "    data_provider:            ibtracs_official\n",
       "    category:                 0\n",
       "    name:                     FRANCISCO\n",
       "    sid:                      2020034S13063\n",
       "    id_no:                    2020034113063.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "event_track.data[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "04fe053c-1705-457d-9a20-664661cf8f4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from climada.hazard.trop_cyclone import tctrack_to_si, _rho_air, _B_holland_1980, _x_holland_2010, _stat_holland_2010\n",
    "import climada.util.coordinates as u_coord"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "15f7c3a7-bd5f-4557-9e25-dd8efff0763e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "84154bca-b822-4656-9f76-055e791d8c56",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/roo/Documents/git_folder/climada_python/climada/hazard/trop_cyclone.py:1816: RuntimeWarning: overflow encountered in exp\n",
      "  denominator = rho_air * np.exp(r_max_norm)\n"
     ]
    }
   ],
   "source": [
    "centroids = cent_event.coord\n",
    "metric = 'equirect'\n",
    "max_dist_eye_km = 300\n",
    "KM_TO_M = 1000\n",
    "rho_air_const = 1.2\n",
    "gradient_to_surface_winds=0.9\n",
    "vmax_in_brackets = True\n",
    "\n",
    "si_track = tctrack_to_si(event_track.data[0])\n",
    "\n",
    "\n",
    "# compute distances (in m) and vectors to all centroids\n",
    "[d_centr], [v_centr_normed] = u_coord.dist_approx(\n",
    "    si_track[\"lat\"].values[None], si_track[\"lon\"].values[None],\n",
    "    centroids[None, :, 0], centroids[None, :, 1],\n",
    "    log=True, normalize=False, method=metric, units=\"m\")\n",
    "\n",
    "# exclude centroids that are too far from or too close to the eye\n",
    "close_centr_msk = (d_centr <= max_dist_eye_km * KM_TO_M) & (d_centr > 1)\n",
    "\n",
    "\n",
    "\n",
    "_rho_air(si_track, rho_air_const)\n",
    "_B_holland_1980(si_track, gradient_to_surface_winds=gradient_to_surface_winds)\n",
    "hol_x = _x_holland_2010(si_track, d_centr=d_centr, close_centr=close_centr_msk)\n",
    "v_ang = _stat_holland_2010(\n",
    "    si_track, \n",
    "    d_centr=d_centr, \n",
    "    close_centr=close_centr_msk, \n",
    "    hol_x=hol_x,\n",
    "    vmax_in_brackets=vmax_in_brackets,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1f48903b-03b5-4c82-894a-09ecfe552209",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23.52765688577942"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v_ang.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "fcd977f1-284e-4b5d-bb0d-182a270eb77c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hol_b&#x27; ()&gt;\n",
       "array(2.025)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hol_b'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3cba286f-b80e-4e60-8783-8d3f1e30ea0c' class='xr-array-in' type='checkbox' checked><label for='section-3cba286f-b80e-4e60-8783-8d3f1e30ea0c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.025</span></div><div class='xr-array-data'><pre>array(2.025)</pre></div></div></li><li class='xr-section-item'><input id='section-795d8689-d96b-481d-acea-72e60747667b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-795d8689-d96b-481d-acea-72e60747667b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c5d237bb-5105-43d6-8c48-89dccbb1f1f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c5d237bb-5105-43d6-8c48-89dccbb1f1f7' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-25648146-4c98-44f4-af19-64d6c84bb42b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-25648146-4c98-44f4-af19-64d6c84bb42b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hol_b' ()>\n",
       "array(2.025)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
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   "source": [
    "si_track['hol_b'].max()\n"
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