{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "17dd78e6-f765-424b-881a-600eb09e1818",
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading in some packages\n",
    "import xarray as xr\n",
    "import cartopy\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import os\n",
    "import cartopy.crs as ccrs\n",
    "import numpy as np\n",
    "import matplotlib.gridspec as gridspec\n",
    "import glob\n",
    "import cartopy.feature as cfeature\n",
    "import re\n",
    "from netCDF4 import Dataset\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d730405b-df1f-46c9-99ae-943846c0d582",
   "metadata": {},
   "outputs": [],
   "source": [
    "#starting by just looking at the WTP run \n",
    "CON = '/nird/home/fiona/data/AMIP_raw/NF2000climo/atm/hist'\n",
    "WTP = '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_warmTP_test1/atm/hist/'\n",
    "SIC = '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_warmArcticSIC/atm/hist'\n",
    "SICSIT = '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_warmArcticSICSIT/atm/hist'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9e7e3c77-7afe-40f0-9ec2-110d6941f14c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def filter_con_files(dir):\n",
    "    pattern = r'.*cam\\.h0\\.\\d{4}-\\d{2}\\.nc$'\n",
    "    matching_files = []\n",
    "    for file_name in os.listdir(dir):\n",
    "        if re.match(pattern, file_name):\n",
    "            matching_files.append(os.path.join(dir, file_name))\n",
    "    \n",
    "    return matching_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e863b3a1-ee7c-49af-88db-9f3aea59cee9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load datasets with filtering\n",
    "control_files = filter_con_files(CON) #[:10] #testing the code\n",
    "SICSITdf = filter_con_files(SICSIT) #[:10] #testing the code\n",
    "SICdf = filter_con_files(SIC)\n",
    "WTPdf = filter_con_files(WTP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c8d5bc9-0e61-4017-a6c5-5f2c64343cc2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Open datasets\n",
    "WTP_ds = xr.open_mfdataset(WTPdf, combine='by_coords', engine='netcdf4', parallel = True, use_cftime=True) \n",
    "control_ds = xr.open_mfdataset(control_files, combine='by_coords', engine='netcdf4', parallel = True, use_cftime=True)\n",
    "SIC_ds = xr.open_mfdataset(SICdf, combine='by_coords', engine='netcdf4', parallel = True, use_cftime=True) \n",
    "# SICSIT_ds = xr.open_mfdataset(SICSITdf, combine='by_coords', engine='netcdf4', parallel = True, chunks={'time':12})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "94237a02-832d-44bb-bd5e-e471297153a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "WTP_50 = WTP_ds.sel(time=slice('0090-01-01', '0100-12-31'))#('0001-01-01', '0050-12-31'))\n",
    "#last_50 = WTP_ds.sel(time=slice('0051-01-01', '0100-12-31')).groupby('time.month').mean(dim='time')\n",
    "\n",
    "con_50 = control_ds.sel(time=slice('0090-01-01', '0100-12-31'))#('0001-01-01', '0050-12-31'))\n",
    "#last_50c = control_ds.sel(time=slice('0051-01-01', '0100-12-31')).groupby('time.month').mean(dim='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d664321d-f76c-45a7-b5e6-4653695c92f9",
   "metadata": {},
   "source": [
    "# seasonal plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "35545197-4a9f-4701-8957-eea85c9dc292",
   "metadata": {},
   "outputs": [],
   "source": [
    "def perform_t_test(control_data, experiment_data):\n",
    "    t_stat, p_values = stats.ttest_ind(control_data, experiment_data, axis=0, nan_policy='omit')\n",
    "    return t_stat, p_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8bdf633-027a-4c7e-8622-e59a6ccccc83",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "#manual p_test mais il est le meme\n",
    "def perform_t_test(control_data, experiment_data, chunk_size=12):\n",
    "    \n",
    "    # Compute the mean and variance for control and experiment data\n",
    "    control_mean = control_data.mean(dim='time')\n",
    "    experiment_mean = experiment_data.mean(dim='time')\n",
    "\n",
    "\n",
    "    # Compute necessary statistics\n",
    "    control_std = control_data.std(dim='time')\n",
    "    experiment_std = experiment_data.std(dim='time')\n",
    "    n_control = control_data.sizes['time']\n",
    "    n_experiment = experiment_data.sizes['time']\n",
    "    \n",
    "    # Calculate the t-statistic\n",
    "    t_stat = (control_mean - experiment_mean) / np.sqrt((control_std**2 / n_control) + (experiment_std**2 / n_experiment))\n",
    "    \n",
    "    # Calculate p-values\n",
    "    df = n_control + n_experiment - 2  # degrees of freedom\n",
    "    p_values = 2 * stats.t.sf(np.abs(t_stat), df)  # two-tailed test\n",
    "    \n",
    "    return t_stat, p_values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "439e27cd-f2a5-46c8-98d7-2dbda3d1ba6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_variables_sea = {\n",
    "    'T850': {'tit': 'Temperature (°C) 850 hPa', 'unit': '$^\\circ$C', 'long_unit': 'Degrees $^\\circ$C', 'lvls': np.arange(-1, 1, 0.1)},\n",
    "    'Z500': {'tit': 'Geopotential Height (m) 500 hPa ', 'unit': 'm', 'long_unit': 'meters', 'lvls': np.arange(-15, 15, 5)},\n",
    "    'PSL': {'tit': 'Sea Level Pressure', 'unit': 'hPa', 'long_unit': 'hPa', 'lvls': np.arange(-30, 30, 5)},\n",
    "    'U850': {'tit': 'Zonal Wind (m/s) 850 hPa ', 'unit': 'm/s', 'long_unit': 'meters per second', 'lvls': np.arange(-1, 1, 0.1)},\n",
    "    'V850': {'tit': 'Meridonal Wind (m/s) 850 hPa', 'unit': 'm/s', 'long_unit': 'meters per second', 'lvls': np.arange(-1, 1, 0.1)},\n",
    "    'TREFHT': {'tit': 'Temperature (°C) REF HEIGHT ', 'unit': '$^\\circ$C', 'long_unit': 'Degrees $^\\circ$C', 'lvls': np.arange(-1, 1, 0.1)},\n",
    "    'PRECT': {'tit': 'Precipitation (m/s) ', 'unit': 'm/s', 'long_unit': 'meters per second', 'lvls': np.arange(-1, 1, 0.1)},\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb935617-70d2-4eef-9529-5e5d3c61da4a",
   "metadata": {},
   "source": [
    "seasonal average map overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "2069b1d3-24cd-4cfb-8423-4274a518e984",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x1500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Choose the variable you want to plot \n",
    "selected_var = 'Z500'\n",
    "\n",
    "# Access the settings for the chosen variable\n",
    "plot_settings = plot_variables_sea[selected_var]\n",
    "a = selected_var  #\n",
    "long_unit = plot_settings['long_unit']\n",
    "levels = plot_settings['lvls']\n",
    "\n",
    "\n",
    "lon = control_ds['lon'].values\n",
    "lat = control_ds['lat'].values\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "\n",
    "# Precompute seasonal averages and difference\n",
    "seasonal_control = con_50[a].groupby('time.season').mean('time')\n",
    "seasonal_experiment = WTP_50[a].groupby('time.season').mean('time')\n",
    "seasonal_diff = seasonal_experiment - seasonal_control\n",
    "\n",
    "# Create a 2x2 grid for subplots\n",
    "fig, axs = plt.subplots(2, 2, figsize=(20, 15), subplot_kw={'projection': ccrs.Robinson(central_longitude=0)})\n",
    "fig.suptitle(f'{plot_settings[\"tit\"]} 90-99', fontsize=16)\n",
    "\n",
    "# Precompute significance mask for all seasons\n",
    "significance_masks = {}\n",
    "for season in seasons:\n",
    "    control_season = con_50[a].sel(time=con_50['time.season'] == season)\n",
    "    experiment_season = WTP_50[a].sel(time=WTP_50['time.season'] == season)\n",
    "    \n",
    "    t_stat, p_values = perform_t_test(control_season.compute(), experiment_season.compute())\n",
    "    significance_masks[season] = p_values < 0.05  # Store mask for each season\n",
    "\n",
    "# Plot each season\n",
    "for i, season in enumerate(seasons):\n",
    "    row, col = divmod(i, 2)  # Calculate grid position\n",
    "    \n",
    "    ax = axs[row, col]\n",
    "    seasonal_plot = seasonal_diff.sel(season=season).values  # Seasonal departure for this season\n",
    "    significant_mask = significance_masks[season]  # Precomputed significance mask\n",
    "    \n",
    "    # Plot the seasonal difference\n",
    "    cf = ax.contourf(lon, lat, seasonal_plot, cmap='coolwarm', levels=levels, transform=ccrs.PlateCarree(), zorder=0, extend='both')\n",
    "    ax.coastlines()\n",
    "    ax.set_title(season)\n",
    "    \n",
    "    # Overlay significance hatch\n",
    "    ax.contourf(lon, lat, significant_mask, levels=[0.5, 1], hatches=['...', None], colors='none', transform=ccrs.PlateCarree(), zorder=1)\n",
    "\n",
    "# Add a colorbar horizontally at the bottom\n",
    "cb_ax = fig.add_axes([0.15, 0.05, 0.7, 0.02])  # Adjust position and size as needed\n",
    "cb = plt.colorbar(cf, cax=cb_ax, orientation=\"horizontal\")\n",
    "cb.set_label(long_unit)\n",
    "\n",
    "# Show the plot\n",
    "plt.show() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5cd3a7f7-33b4-49d8-8672-71b6f52e58cc",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception ignored in: <bound method IPythonKernel._clean_thread_parent_frames of <ipykernel.ipkernel.IPythonKernel object at 0x7fec13cdceb0>>\n",
      "Traceback (most recent call last):\n",
      "  File \"/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/ipykernel/ipkernel.py\", line 775, in _clean_thread_parent_frames\n",
      "    def _clean_thread_parent_frames(\n",
      "KeyboardInterrupt: \n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[14], line 48\u001b[0m\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, season \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(seasons):\n\u001b[1;32m     46\u001b[0m     \u001b[38;5;66;03m# First 50 years\u001b[39;00m\n\u001b[1;32m     47\u001b[0m     ax_first_50 \u001b[38;5;241m=\u001b[39m axs[\u001b[38;5;241m0\u001b[39m, i]\n\u001b[0;32m---> 48\u001b[0m     plot_first_50 \u001b[38;5;241m=\u001b[39m \u001b[43mseasonal_diff_first_50\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mseason\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mseason\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\n\u001b[1;32m     49\u001b[0m     mask_first_50 \u001b[38;5;241m=\u001b[39m significance_masks_first_50[season]\n\u001b[1;32m     50\u001b[0m     cf_first \u001b[38;5;241m=\u001b[39m ax_first_50\u001b[38;5;241m.\u001b[39mcontourf(lon, lat, plot_first_50, cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcoolwarm\u001b[39m\u001b[38;5;124m'\u001b[39m, levels\u001b[38;5;241m=\u001b[39mlevels, transform\u001b[38;5;241m=\u001b[39mccrs\u001b[38;5;241m.\u001b[39mPlateCarree(), extend\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mboth\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/xarray/core/dataarray.py:801\u001b[0m, in \u001b[0;36mDataArray.values\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    788\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m    789\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[1;32m    790\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    791\u001b[0m \u001b[38;5;124;03m    The array's data converted to numpy.ndarray.\u001b[39;00m\n\u001b[1;32m    792\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    799\u001b[0m \u001b[38;5;124;03m    to this array may be reflected in the DataArray as well.\u001b[39;00m\n\u001b[1;32m    800\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 801\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvariable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/xarray/core/variable.py:541\u001b[0m, in \u001b[0;36mVariable.values\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    538\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m    539\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    540\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"The variable's data as a numpy.ndarray\"\"\"\u001b[39;00m\n\u001b[0;32m--> 541\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_as_array_or_item\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/xarray/core/variable.py:339\u001b[0m, in \u001b[0;36m_as_array_or_item\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m    325\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_as_array_or_item\u001b[39m(data):\n\u001b[1;32m    326\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Return the given values as a numpy array, or as an individual item if\u001b[39;00m\n\u001b[1;32m    327\u001b[0m \u001b[38;5;124;03m    it's a 0d datetime64 or timedelta64 array.\u001b[39;00m\n\u001b[1;32m    328\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    337\u001b[0m \u001b[38;5;124;03m    TODO: remove this (replace with np.asarray) once these issues are fixed\u001b[39;00m\n\u001b[1;32m    338\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 339\u001b[0m     data \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    340\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m data\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m    341\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m data\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mkind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mM\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/dask/array/core.py:1693\u001b[0m, in \u001b[0;36mArray.__array__\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   1692\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1693\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1694\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m dtype \u001b[38;5;129;01mand\u001b[39;00m x\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m!=\u001b[39m dtype:\n\u001b[1;32m   1695\u001b[0m         x \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mastype(dtype)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/dask/base.py:376\u001b[0m, in \u001b[0;36mDaskMethodsMixin.compute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    352\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcompute\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m    353\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Compute this dask collection\u001b[39;00m\n\u001b[1;32m    354\u001b[0m \n\u001b[1;32m    355\u001b[0m \u001b[38;5;124;03m    This turns a lazy Dask collection into its in-memory equivalent.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    374\u001b[0m \u001b[38;5;124;03m    dask.compute\u001b[39;00m\n\u001b[1;32m    375\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 376\u001b[0m     (result,) \u001b[38;5;241m=\u001b[39m \u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtraverse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    377\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/dask/base.py:662\u001b[0m, in \u001b[0;36mcompute\u001b[0;34m(traverse, optimize_graph, scheduler, get, *args, **kwargs)\u001b[0m\n\u001b[1;32m    659\u001b[0m     postcomputes\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_postcompute__())\n\u001b[1;32m    661\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m shorten_traceback():\n\u001b[0;32m--> 662\u001b[0m     results \u001b[38;5;241m=\u001b[39m \u001b[43mschedule\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    664\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m repack([f(r, \u001b[38;5;241m*\u001b[39ma) \u001b[38;5;28;01mfor\u001b[39;00m r, (f, a) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(results, postcomputes)])\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/queue.py:171\u001b[0m, in \u001b[0;36mQueue.get\u001b[0;34m(self, block, timeout)\u001b[0m\n\u001b[1;32m    169\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    170\u001b[0m     \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_qsize():\n\u001b[0;32m--> 171\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnot_empty\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    172\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m timeout \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m    173\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m must be a non-negative number\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/threading.py:312\u001b[0m, in \u001b[0;36mCondition.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    310\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:    \u001b[38;5;66;03m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[39;00m\n\u001b[1;32m    311\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 312\u001b[0m         \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    313\u001b[0m         gotit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m    314\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "data": {
      "image/png": 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PZm/ZpxvRsercuYt69+mjevXqcTMK+BeKiIjQzJkzNXnyZO3bt09t2rRRt27d9Pjjj8vH5+FpJQv4N4iMjNT8+fM1c+ZMrVy5UrVq1VKvXr3UpUsX+fs7v0U2AH8vycnJWrdunaZMmaJff/1VRYoU0VNPPaWuXbvSqgLwD2MYhrZv364ZM2Zo9uzZSkpKUo8ePdSrVy9VqlQpp8v71yKU/osZhqGNGzdqwoQJ+vXXXxUaGqoO7durXbt2Cg4OznD+rIacGQXTzgqfpT9v1kacv6LPN+3V5choRcUn6FpUrA5du6WYhESrdXq6ucrb3U0mk0nR8QnK7ekhHw93xScl6Wqk7QD18eIF5eLlqej4BCUZhnQvQYVy59KpO1E6dzdGpQJya+2FP2sL8HSXj6eHEpOTFeyfW+GF8t0Pu31za++ZS9py5HS62ysoj7/G/vd5Xbt5W7ci78orT7AKhORTi4b1FJf7zwAyo+/r79qst72gOqM33lP6y0JnezeoH+DG+YMG11HR0Vq0cp1mLVii7bv2qkXz5urXv78ef/xxubu7Z7kuAH9/V65c0ZQpUzRl4gRdvHRJnRrWUI/mdVS3YJ60wVUOhdGOhs/2Amdb57aEhARt2bBaG9et1K07MYq8fVMXz5/UlYtnraYzmUzKlctHbu7uio+/J5PJpNy5/WTIRdFRkYqJvptm2aXLV1HR4mUVHRUpJcXKkKECwXmUkJCgAwcOyMfHR5G3InTu4mVJkrubm/IFBSrZSJbJZNIj5csqKE8eeXi4y8XFReOnzc5wG3381gj5uyTq+s1bMplMCnaXGoSXUViB4DTXN1L6IfSdC7cyXJ89/oXTf8POXjj90IbSqadxBvN6Uy///4cbhqGdR09r2qotmr1uuwIDA9Wzdx/16dNHRYoUcU5NAP4WkpKStHTpUk2aNEmLFi1S9erVLcFVQEBATpcHIBvcuHHD8sDJwYMH1aFDB/Xp00fNmjWj+X3gIXf69GlNnDhRU6dOVWxsrLp3765evXqpcuXKPIQKPASSkpKsHjgpVaqUevfurZ49eyowMOv3UJB5hNJ/kRs3bmjKlCn64YcfdP36dT3Rrp06deqk8uXL25w+ddiXmeaF7QWhGTUTbRlu4y2k9JrbthVE34iM1tzVm/Xuos2KiI6Rv6eH/Lw8dO52lNVyiuf1U+WwAiqbP1DNyxfTI+Hl5ePlYRmfeP2arp69pGVHz2nDkbOafexcmto8TCaV9PVRntxe8vfNJReTi6Li43Xm1l1VyJdXYXl9dTwyRisOnpIklS2UT7s+Hf7nBUWqm54HT19Q9YFv2tw2GXlr2FAN7dvT8n2l/i4yG0InJyfr1PEDun71omJjouXl5a1bN68rX/7C8g2pqOD8oTKZTA43w37tygW99lwHyUhQaFhxnTp5SvUbNdaQ//xXuXwy7sc0u0LpZZu2a+bStfp97yH5+/qoRsWyalI+TC2rhyuP798zqHc0qE4d6py7eEm/LFiqGfMXKy4+QX369NGAAQNUokQJZ5QJIAckJydr5cqV+uH777RoyRLVf6ScejavrXZ1qyqXl/P7rcnq8Sml9K4zUp/LkpOTtWvHVs399Vctm/+TJKlgkWK6dN76gS7/PEHKXzBU1es2U+GipVSzXgsF5A2Wi4uL5WG5PN5xOrB7q3ZtW6vJ371vc/2hoaEKCQlRQC4PeXp4yCXxng6fOqfAAD9VrFhRUdHRmvXbEpkvabctmaPiRe2Hgx37DNam7X/YHW+Pj5enrk9+VyaTSYnXr9ltnjszgfT1e/E6Gx2j6/fi5e/urqtx9+Tr5qaC3p4q6esjj/+/+WkvnE4dSo/cuFeL9h1XxUL5dOn2XXl7uOmdJxqpdvFCGX4+h5v1ziAsjoiM0qezlmjlzv2KiIxSlZJFVbtCKbWu+YgqFiv8193QyUxoncWw/V58gpb8vlc/rdqqVTv3qVWLFnp20HNq06YNTYIBD5Fz585p4sSJmjBhggzDUO/evfXMM8+odOnSOV0aACc6ePCgJk+erKlTp8rHx0cDBgxQ7969VaBAgZwuDUA2iY+P14IFC/TDDz9o3bp1evTRR9WnTx+1adOGl0qAh9jdu3c1Z84cTZw4UTt27FDHjh317LPPqlGjRjyE8hcglHYiwzC0ZcsWff3115o3b56qVqmiLl27qlXLlladq2e26ePUYZ+tm8wZ9XHsSPCc3voNw9CJcxdV2C1Jfj7e90f8/82/s9duqsKLo5WUbCjYN5fC/HOraICvFhw+rfikZJvL3DOyvwr459bPW/erYB5fXbxwTUdv3NaZKze14cI13Uu2nq9hcF7VLhqi0nl89UTtipY3gjK6oRobnyB3Vxe5ubpm+gbkvpPn9P7Pv+laVJy27T1kGR6Ux1+Vy5ZU2WKh6te3jwoVCMlSH8VXrlzRRx9/rMuXL8vDw0OHDh1SYlKy7kbab6q0SFhpTV24x6Hl+3tGa++u7erT7dE04+Ys2aTiJTNugsa832Rmn029v16LuKWSbZ62/HdY/mAlG8k6d/V+U6v1w0vrrRcGyC3qlgL9cissf7BcXR17IjmzfZ468oZ2VvpRtfWbTE5O1vqt2zVl3jKtWr1aDRo00NChQ/XYY49x4xr4h7p+/brGjx+vH77/TnEx0erZvK76tGmgYgWy3v9yVvtufpAmtlMzDEM3btzQrYRcyhdSIM0F+RvDB2vJgl8kSWUqVFXp8lW0Y/MqXbl01tbi1OnpIRo6Yoz+2LpGN65flpdXLp04slc3rl/WgV0bdeHcGavpixcvrubNm6twoULq3Ky2AvMEWD6DrfOPeZxhGIqJiUnTbKq9c1bK81NSUpLe/GqS4uLjNX7OYstwdzdXVQwrrNJFCqhjtTJqG3b/+3Gkv+jUTXb/fPi0Fp++pKj4RLmYTLocHavrsek/VHasz2NyT+etnJShtFdIoHyHjkkzzeA29fVp7ycyrNdheYLSDXx7jZ2m2Zv3SJL8c3kpyC+3rt6+q6i4ewoNCVTvVg3VrVlt3bwbrVKF8v95HZkF6f1esrPrD0ecvxahqcs3afKKzUo2uWjAwEEaOHAgN66Bf6jk5GQtX75c33zzjVasWKHWrVtrwIABPHQC/AuZQ6sff/xRa9eu1eOPP64hQ4aoSZMm3LgG/qHOnTun77//XhMmTFDu3LnVv39/HjoB/qUOHz6s8ePHa8qUKQoMDNSgQYPUp08fWkJyIkJpJ4iJidGMGTP01Vdf6fTp0+rUqZO6P/WUihcvnmZaWzdK7b1hau/mWuobco42v5leDdL9f4iP+mSsvp8yQ5I0d+I3ql+ruq4eP6jw9n0t05UNLagXO7XS9OXrlZCYpH7Na2vAt7Ms45e/9JQW7j2u8Rv3KC5FU92fd22uxCRDtYoXVIWCwQp+6XMl///uaJLk6+khGclKSjIUnZRkmW9S78fUrU2jPwvNalOSGb1BY2e5b0z4RZ/OWiJJWvD1+2pe6v4Ne/P3kN72t7et73oGasvWrerZs6ckKTg4WDWqV1dwvnxaumyFrl29bHO+xq06aeQnP6X/OVIwDEOxMVFauWiGbt+8oXLh1VWvdiWH3pKWshZK27J99z4d2LVDP/6ySCfPX5LJZFJ6hyIvD3fNeGuIWte839dDZkObzPQNbVlnOm9621qeeXpH1nXtRoSmz1uoybN/k6urq5577jkNGDBAQUF/j35lAaRv586d+nrsl5o1+xfVrlBKAx9rpEdrV5Z7Jm9SZ3Qsy8qxy5EA2vyQ2pHD+zWgxxOKjrqrFi1a6Juvv5aLi4vKlS+vhIQESZK/v7/atm0rDw8P/fHHHypfqaZOHD2sXTu3SpKGjfxa3rl8Nfmbd3Xh3AnLOv4zYpRcTC7Kl7+AGjdvoxPHjujpjs0t4728vOXh4S4ZyYqNjVNC4v3rg9DQUK1ZvdrmDb6MHq6zxZFAWvrzGuvC9Zsq1WOYJKn/o431Xv/O8o+PkZR+c92W5aZ6SC7lPOXe/F4Xbt1vnryYv48eK1ZIe67f0saL1+3Wv6N7KwV5p/+2fcpg2jUoQL+fuqTNFyMU5Jdbj1Yvr0J5/f/SG6bX7kRpzf7jWrzzoOZu26dkw5CHm6viE5PsztOuXlVNe2Pw/YcGsyirD3SklB1BdlJSspbv2KcfFm/Q2t0H1LF9ew194UXVrVuXG9fAP8Dt27c1adIkffvtt4qKitLAgQPVv39/FS5cOKdLA/A3cPr0aY0bN07jx49XSEiIhg4dqp49eyp3bsfuqQDIOYZhaN26dfrqq6+0ePFitW3bVoMHD6Z5fgCSpHv37mnu3Ln65ptvtHv3bvXs2VNDhgxReHh4Tpf20CGUzkaXL1/W2LFj9f333yl/cLD6d39SnR5rLZ9c9t8AsRV8ZfaGmK2bcClvZKd3gzoyMlL7N6/WwaPHdfP2be3cc0BffzhSqzdu1Vsff2E17Yf/G65+PTrriy/H6oMfplmNKx9WSIfOXLT8d+dqZfXLH0dsrvOl5jX1UstaSkxK1urDpzV752GtO3pWCXbeopakD55+VHWqV1aZIgWyr3nnLDbrWLH3CD1SIlTT3hgs0+2INNPYC6czctczULNmzdInn3yim7fuN/c5b/k27du9QyNfez7N9CPeHafW7Xumu0x7TbQ7wlZT4+bl2etf3MxeQJt6f09OTtaxMxf0x6FjOnPpii5evaGI23d05+YtbTl43GraAnn9VblUmF596jHVLl/Sbt2ZfUjjTrJ/uuFGRgF8em/vZSQxMVHL123ShOlztHPPPj3V/SkNH/6K3Wb9AeScpKQkzZ8/X2M+/kgHDhxQj2Z1NKhdU5UrmnGzyGaO9uWcFbbO9cnJyTp8+LC2b9+uu3fvaumyZXq6Rw/Vr19fTZs1s5rW1dVV+/ftU2RkpGrXqWM1Lm/evLp586blv9u1a6cFCxbYrKNWrVoaOmSI6tSpo23btmnDxo36de48Rdy4H7yGhITo6tWrVvNUqlBWL7z8isKKFlVAkUcyDO6y0tqLow/8fffbKg37drqO/DRGofkCbfYfnVqaVlpSP9T2/8s4cfiYBk9bpo3Hz0uS+hUvoqdCC6rX73t1MTYuzXJP92uX7mcyS/22tM2ackjE3WjtPHFeB89f0YWI27p6+67uRMdqy9HTio1PtJq2dc1HVKFYYY3s1SHTD3iklN7vLL0Hzux5kKD65MWrGrdwjaau3KLixYtr2CuvqkuXLjQFCPwNnTx5Up9//rkmTZqkKlWqaOjQoerYsaM8PDwynhnAv05cXJxmzZqlr776SsePH9eAAQP04osvqkgR+13IAMgZ9+7d0/Tp0/Xpp5/qypUrGjBggAYNGqSiRYvmdGkA/qZ2796tr7/+WtOnT1edOnU0fPhwtW7dmgdYsgmhdDY4dOiQPvlkjKZPn6EmNSrp+R4dVL9quENvQ2THGxkZhdIp3fUM1MmTJ7Vy5UotWLhQR48eTTPN999/r/Pnzun9Dz6wDFs9Z6rCy5VRQkKi1m/9XZdPn9COA0e0Y/8RFQjOq027Dlgto3LhfAr29dHKw6dTL15zXu2j3J4eav3uOMuwT3s/oWpVwlW9dDHVHTJK+06dt5pnQOfHNLhVHXl7eihfgJ+8PTO+OZByuzi0ne2F1P9/c3nO+u3q+f53lsEXxo9SYMqAPBtCaUmKiopS0+YtLDfwJalcxUoa9t931b/Hnzeov5k4W3XqN8nUOjIj5U1/wzB0+vRpnT17Vjdv3dKRw4e1ecsWHT9+XG3atNFHo0crn0uM1fxe0TcyDKVTcr99TcnJyboTHasbd+5qweY/dPZqhH5ctFaS5OPpoeh78ZKkYH9flS1aUN4eHnJxMaloSJCqlg5TnQqlVKpwfqvvPr1Q2lb/6+bPHR8fr5s3b8rFxUW5c+dWrly50t1eUtbfIPeKvqHDJ8/qq+nz9cuK9WrWrKleeeVV+rEA/gaio6M1efJkffbJJ4q/F6vBXR5Xzydayj/3/eN/VroByI4QOjXzsS0mJkar16zRqlWrtGjRojTTValSRZ+MGaNmzf98a7lDhw4a8/HHMplMOn78uI4cOaLDhw9r3/79unz5shLiYnXxyp9BcmCeAPV9qrPGfPtjmuU/88wzevTRR/XV2LHatHmzJKlRs9Zq1/EpValeWxFn96pzly5p5vt16Ra5urrI189fefLa3z4ZPRSVmqMP/127Fanmwz7U8QtXJEnvdGujVzo0lWQ/kHYLzmcVQNu6HrNa1/9fZ8xYul59J1t/NzPa1tVHOw5rz/X7D6VVCg7Q/HYNba43dT/S0p9htKUuB5k/W2TsPe05f1URJjddvhWpZbsO68j5K0pMTtbkPo+rab3qSrx+7YHD7ph78YqMjdPmw6e178wl7TxxTmsOnJCXh7vi4hMs01UuGap8Af4ymSQf/wBVKlNCVcqVUu1K5eXl6ZHu786RN6YNw9DNO5G6F58gTw935fHztfuPy6xcq6euITo2TtMWrdK3sxYqIcnQf15+Wf3795efn1+mlw0ge/3+++8aM2aMFi5cqM6dO+vll19W1apVc7osAP8QhmFo27Zt+vTTTy3HkeHDh6ty5co5XRrwr3fr1i19//33Gjt2rPLkyaNhw4apR48e8vLyyunSAPxDRERE6IcfftDYsWOVN29ey3EkZde8yDxC6Qfwxx9/aNTIkVq5aqW6tGqs57t3UNnioZbxzu7LLjNhdEr5KtRKd7yLi4uaNWumlStXWoYF+PnpyMJJKvvYM7p91/rt2yLBeXX++s3Ui5Gnm6vupWqq0SQp9Q43773/qHXNSpbPc2rfXlXu/z+79eXy8lSrejX07gv9FPoA/XZmJPX398WcZfrvD/ebJR83qIueblTN+gZmilA6zidIdz0DHQ4pU7/hZhiGNu85qVXLFiouNkbP9BuiQkXSPsFn622xrDRvas/p06c1Z84cLV+xQqdPp33AwGz3qgUqVCDE4eWaQwLDMHQ14pbmrd6knX/s0S/rfrdMk7JJ76bhpbTo9QFauPOg7shNG/Ye0dHzl1UwKI+SkpJ0/MJVHbtwRYZhqGKxwpr//ssqFJTHbjidUTB97sxJtW9Z22pYcHCwwsLCVCwsTDVq1tTp06dVpkwZheTLpwIFCih//vxyc3PLUjCdMjS5cuOmxs1eqInzlqlEyZIa9fY7atu2LeE08BeLjIzU2LFj9cXnn6lQviC90L29OjSv/0BvcKaU3cG0+bj2+++/q3uPHulOW61aNZ05c0YREX8er8aMGSOfXLk0eMgQSZKbm5sS/79J7ZB8Qbp6LeM3TG11xVCzTkN9PWGWpf9NwzD00nM9tWHNcrvLKVmmvHoPeF5t2z2ZZlxmQmmHu0O5dUNnr91U2ec/lCTVL1dcPw7uqrB8eSXZDqVTBtKONhttWe+tG7p86rTmbNitvZcjVMUvl3o1Sj8ASRk6W9WQnpRvbNt48C7y4kXN331Uc/44ovVHzyreTos1r7Sqrbceb+DYOlO5GxunvWcuafqGP7Rs9xFdvhVpc7pNX7+lIH9frdixX5Fy068rNigkKK/c3Vx1885d7T16UlExsfL0cNcnw59Tr/atMlVHSnE+QRow7HX9tmyVZZi3l6fCQouoRNEiqlqqiNxdXeXm5qbSYYVVKF+Qwrwkf5+MH06T0t8fkpKStHjDNn358zwdPXNBz7/wgl5++WXlzZs3y58HQOYZhqG1a9fq7bff1u7du/Xss8/qhRdeUGhoaMYzA4AdJ06c0BdffKFJkyapfv36GjlypOrWrZvTZQH/OteuXdOYMWP03XffqUaNGnrllVd4wxHAA7l3756mTZumTz75RLdu3dKrr76qgQMHOvQSG9IilM6CnTt3atTIkVq7do36dWyr53t0UP6g+zeTbN3oTCODPpCzs7/ce/Hx2r3/kCLvRulanFQ8MJf2HDisC5ev6G5UtGb9ttihdTSpWVk/f/S6CjXpnOG0/2leU1+t2aGkZPu71pBuT+i9F/vJ9f/7DkzZpKL77WuKi0/Q6j8OStGR8soTKA93V7m4uCjK3Ucrt+zUNzPmq0BwoI4unurQdnhQXtE3tHDtFvUY8b4kKXbFpDTTpHxD2lYzqundPLfXxLqtwDQle6FzRk1SO+LgwYNq98QTkqQ2rVvr6LFjOnXqlCSpQoUKqlatmipXqqQaNWqoTGDmnw7yir6hkV9P0udT58jVxUV1K5ZSXr/cCvXPpabhpXT66k3VKROmysUyaBr3/39PG/cdUcvhH0mSxjz3lIZ2aGmZxJG3FM3fwZ1kf8VER6lV/XBFR0c5/HkaNWqkiRMm2B2f2Tf6omJiNXHuEn358zyFhhXT2+8QTgN/BXMY/dknY1S2SH79r/vjalatwgP/9rL6IFlGTp45p3MXLykqKlru7u7y8vLUnIXLVKZkMb372TcOL2flihVauXKlPh4zRpLk6eGh+IQES8js6eGue/EJalKvtuLu3dPWnbvtLisgT17NX/G7/PwD7E5z8chWnb9wQV6envLw8JC7u7sSExN19lq0/vfyQEnS/JW/K7Rocav5suNNaSntG8yRMXEqNvAdxcQnaPbwXnq8RkVJ2RdI21uvvXWkWZ8tGVxPSn/WZ+v6tPSQ93X+xm3VL1lE7q4uWnv0rCQp2MdbtYqEqEbhYNUOL6naxQrJxcXkUCBt/ixuwfl05tpNlfv/oL9E/iCVKRgsw91D/do2VmRMrGQY6tiwhjw9/mzK2t72jI27p2f++6GWb96h0EIFtHPFfJvTOdI8d5xPkCZM/0X/ff+TDKdN6Y8f3lP5sIyb63d0n9iy+4A+mjhbOw8e1Qsvvkg4DfwFDMPQmjVrNGrUKB08eFDDhg3TkCFDFBAQkNOlAXiI3LhxQ1988YXGjh2r2rVra+TIkapXr15OlwU89K5evWoJo5s2bao333xTNWvWzOmyADxEkpOTtXjxYr399tu6cOGCXn31VQ0aNIhwOpMIpTPh0KFDem3ECK1evVq9unbUsK5tlC8wjyTrt18cYudGYkY3sjK6gZ0y3Lx3755eefVVLV5sO3j2ze2jD14frnmLV2jNpq2W4Y3q1pSXh6duRlxXaP58Gtqjg3xzeevnhSt1/Pgpnb58VW6urgr0z62Ne48qKTnZ8vZzoI+37t67p4TEP4e5ubjI1dWk+MQk5fL0UOHgQL3W/XF16vSEzboyesPcMAyNnLVCYybO1P51ixUSnH6fwZmV+ib3hUtXtOn3nXrhjXclSWEFQ7Rv/sQ089kLo9Nbtll686XXxHR2SF2TuZYSJe/32/zumG+1Ysl87fx9k3oPeEHdevaXr1/W3sa+e/aQRo4Zq4ibt+RmJGrdjr2SpL5tGumbl3rfnygzfX2nUO+/X2rXqQuSpEphBeXq4aHiBfLJ3c1Vfrm85RsYpJqPlFOrejV0JypaQ979Qr4+uVS2WKhcXV1UrlJV1ajyiDz/v9+464aPtmzZoq1bt2r7rn0qVDhUHh6e2rxhteLiYlWlciXlDsinM6eO69iRg/rf25+oU7dn7NZn3k6ZfZM6OiZWU2bP1TeTpik0tKg+HjNGTZs2zdI2AmBfXFycxo4dq9EffqCyhUP0Zs8n1LhyuYzD6NTHrHSCQkfDKkfD6h179uvRHv3tjn/thUEqkC9IL77xnmVYLm9vNa5TU1ExMboXH68ObVuqY9uWWrxqnVZu2Kx78fE6fvK0ShUL09GTp3ThsnX/zwF+voqMilZy8v23ak0mkzw8PJSYlCSTyST/gDyqVaehRrw12upcYeZIf9C7z99S127d1b5zD/V64SP5e/7ZQkt655zMhtTut68p9uplHbt0TbVHfGEZvv6951U1IG2TbpZQNouBtHmdaThy3stEAO1IDZv2H1OLYR/Kw81V80b01aPv/6im4aX0zlNt9IivR5Yfwhi3fpfm7joqVxeTfj99SfH/32LO1Unvyi9Xim3qwOcxSwjIp1nL1mrAW/dD5Dz+fgorUlienh4KK1JIbq5u8vX1UUhwkHp0bCd/P1/NnLdI03/5Vc1rV5Onh7uC8waoSc3KKhD85/XWoZNntGL3cW38fYdiYmJVPCxUR0+e1t4Dh1UstLCKh4Xq3r147d5/UIXzBWrF+DHK9f9N/TnaGpIj38n2TZv0wc8LtOPYGb08bLiGDx+u3LlzO7x9ADhm69atGjFihA4cOKBhw4bp+eefpwl9AE4VERGhzz//3BJOf/TRR6pSpUpOlwU8dO7cuaMPP/xQX331lZo1a6a33npL1atXz+myADzEDMPQ4sWLNWrUKJ0/f15vvvmmBg4cKHd394xnBqG0Iy5fvqyRb76pn37+Wc+0a6FX+3ZTvsA8NoNou2/U2JLqhlx6/eCaORK43rt3T9NnzNC4ceN0/fp1tWvXTkMGD9bSZcs0a9YsXb582Wr6+jWrqUihgrp6/bpOnb2gM+cvWI1v36ye5q/enOF6zVxMJiWn2K1ye7grPikpTbOQX734jPo/2sTuDbv0bvhdSvZQidY9NPqNV9S598A04zN6w9iW1De6c8fd0ILlqzVg2OuWYZXKlNCCb96Xd4FiVtOmfMs2vWX+3di6gX/XM1D7DxxQ+/btJUnvfjlLb77YVSM/+VmNW3VMM705LPB3uaN33n1X69asUsGQfCpetIiaN6ynz8dN1Duv/kc1qzyipQvmq9+b99/C69SohhISk3Ty4lV9OriHGlUul+FvKT0nrt3SlpMXdPRKhE5dv6VF+05IkupWLKWomDhFRMXq4rUb8vb0VOy9e5b5cnndf8s7Ju6ecnl765kuHTRsUF/5+/mm2S43IiJUq5Z18/fP9B+iYiVKK2/eILn7FlZAnmAF5A2Wd64/+xu3FahkNpyOiY3T+GmzNXb8FNWrX19jxnyiChUqZGoZANJKTk7W9OnT9fprI5TXw0XvdW+jpuGlMgzlUh6jsvIma1YCTfO1wR/7DuiTL7/R6m27FBjgp6nffKYr16/rp1/ma93m39PM16FtC8XG3dPtO5Hae/CwYuP+PAY2a1BHqzfefzCtavnS2nXomN312+qCw8XFRQH+/rp1+44M48/zfGhYcc1f8WctmQmT73oG6rnBg3X46HFN+m2fXF1dHQ6m01uuJKtWWc4cPaY6r32h29GxlvG/DemsFg1qyGQyWb31a5HFhwpTyu7uXRx5Cz9lGJ+cnKzmvV7UzqOnNHvU83pzwhzl9cut1Z/99/5+byMkT7x+TVtPXtDzM1bIy81VhfP6qWOVMtp44KSi4xP0+WP1FZeYqFKfTJNhSA3CCihvgK/O34xU9bAC+qhTU3nlz2+90EwE0/EJiVq8bY9OXLyqI+cu6dCFq9pz5KTCCuVXYICfbkfH6eLlq0pITFRun1y6E3nXMm+Ar4/uRMXIMAzVeqSc3hnaR3Uq2z5/vvDBWE2e/2fT8tUqlFHnDu1UIJergvMGKCjA///YO+vwJrIuDr+puwst7u5Q3LW4FXdn8UUXd1nc3d3d3a24Oy201N0l+f4ISeNNgd3CfvM+D89uZ+7cOTOZzL05v3vOwcneFnsbK8yiM16uQxc3bt1j/M6T+IRGM23WbHr06CFPey8gIPD9vHv3jrFjx3L69GlGjBjBiBEjBDFaQEDgXyUsLIw5c+awfPly2rRpw4wZM4RyAQICP4GkpCRWrVrF9OnTKVmyJHPnzhXEaAEBgX8ViUTCsWPHGDt2LCkpKcyZM4eWLVsKmU7TQRCldZCQkMDcuXOZ9/dc6lYqx+QBXciXI6vUmZhR8czBkZRUMWayFIUKjjjFtM+KZCTiVyaG3rt9nX5dWwLQunVrWrVsyc5duzh58iQSiQSRSET27NlxdHTk4UNp6s0sLs4EBofIU3T2bOnJxkOn8CheiGL5c7Px4CkAHq2fxYaTl1h2MK3WtJmRIbUL5+LuR38Sk1IYX7ssbUvko8GGY9iYmbCkaVWMDQ2psGK//BgjAxEpYglFcmVlbt/25C1enGyuzhqvS+a4VUw/mWznwvTV25i3cTc1a9Zkw/r1WkXoyERLjdtlKDq55du+ObvPnDkjr60JcOPYHvLlzil/qWgTorX19yuiTZSuVLkyQUFBrN59jSWz/yI06AtL973E2NhErb2DRSK2ptKoufqVC5OclEiDyuW46v2YoLAInef32zAVBytpeouMitC6SAgMJTEllWSxGKfsUie4oZMzFz8G8dLXj7iEJF5//koeN2fGdW6ORCLhyYfPHLl+n7m7jlModw6WjR9CVhcnFm7dR8UShXHOmZdPvn4cPn2Oi9dvy89lbW1NdHS0mg058xamUcuuVKzuSfZcUoHre8VpRTEhNCKSuRt2s/nwaTp36cKsWbNxdtb8/REQENDN9evXGTSgP2H+X5jUpAptyxXBwCDjE0cjZxdiE5KwNFN5R/7E6FaASGMbWvb4A+9HTymUOwd/dvciPiGRaau3ExoeAYCtjTUlChfk2h1vAAoWLMjr16/lfXiULsHdh08wMzVl6ughjJkuXSjUx6sJrepUw7P/GKVzFi9cEHMzU+4+fEKTerUYPagv127fY+r8ZSyeMYHqjVrRq1cv7ty9C4ChoSGpqakYGxszbMwUChUpQelyFfWKkJbh/SmERo0bA3D42mds7aTjreqY/T3itOx9muDvQ9U/JvPGPxiAFhWKs3lwR0yNdYiAepRfkc1T0uNHhWlt59AVZS+79jtPXlKv90gKZMvC5O6t6DRjJTsm/EGr6uWVD1CZ6847fYtpx6/To0oJXnwN4c4Hf502zqhfgX4ViirVw9Yq8KcXLa7h3odGxeBoI40oTrZzwT8ohFPX7hKeIiImNo63Hz4xvkdriuTNRUh4JBfvPGT++h288vVn3oAOdG9Yna1nrhMRE0ut0kX4FBBCSmoqfeenleJwtrMhPDqWlNRUpXNbmpvRsm41OlQpScUi+eQL3PS+Hi1IJBIOnLvO5GPXMLNzYtGy5dSvXz/9AwUEBNSIiIhgypQprFmzhi5dujB16lTc3Nwy2ywBAYH/Y3x8fJgwYQIHDhxg2LBhjB8/HktL3T4rAQEBdSQSCUePHmXEiBGYmZnx999/4+npKYhAAgICmUZKSgobN25k0qRJ5M2blyVLlgiLZHQgiNJaOHbsGAP79SE4NIyEpGSebJxN/mxZ9BKjYxOTeO4fgvenr/iERuITFsm1N75EJSQBUKlofka2a0TOQoXJk82dFFtXQLMIrY/YGhMVgaW1LeHxZry4vZ+JQ9sBkDNnTnx8fDAyMiIlJUXefv26dVSsWBFzc3MATKMD8PXzp3KTtnRr3oDo2DgOnr/Gl4v7MDE2YuKyjazZe0zp/C62VgRFxrCge3Nevvdh/bVHAARP7Klma0xiMouuP6ZALjdqVShFThcHBm4+zpYz1wDI7ebMhC4tqFu2GC72mletKzpfk1NScKyclvq7crXaTFt6GMN0oknC4kxxsEjUul/R2f329QvaNa2htN/n/hXMzcz0FqM1nuMHBGpV531qaiqL1mzi7sMniEQifP38sbO1oWqN2lSrVo1SpUrpNSFT7Fd2bWMnzWTfzk0YGBpiaWVHdKS0TaNW3eg+cp28Fjggv6f7N85gxaJZ7Fy1kLrVq/DH8NHsP3tF6Vz1yxWnX+1yTN97lkef/Lgxtislsrlm+F4kBIYqObk17VfFzNVRLfWqJk7ffczw5Tv4FBCcrh2N6tZk85K5JCUl4xsnwjckibCwEL58jeLKxTPcuXyIlJRk7BxcKVqmBjb2ziTHhRIdFY6hoRGuLg4UKVaKFg2r4eDgoDOqT4ZMyHjvF0jLcQv4GhnD7Ll/M2DAAKXPRUBAQDtfv35l+MA/OHDkKCliMb3KF2ZOw0p6HWvsbI9vWBQPfAJ49DmQqPhErr/7zJvAMACq5c9Oyfy56Fe/EvZWFjhafxuvv1OgTkhMki4qc8xKXHwC1Zu3x9dPmvHEwtycuPh4pfY1K1dgyYwJZHFxJsbMCevEUKJjYhg7cz5HT19gyV+D6D91IWMH9+PP/j255f2QHkPHEBahUKvZ0oKk5GSyujpz6fAucpaVjofHVsyiRvmSyvZZOnHi/GW83/hSqnJ9ipUoQ3BgAM3qpgmc3foMpk79JhQtURo7wyjpOXQsyJm1bheLFy+W/71mzw0KFJGmOvweYVpVlDaOCMKj9zie+n7FycqCkJg4xrWuy8S2DXR3lM5naFavOwnnNitt+xGB+u7L98zdeYwUI2NCI6IIi4ymSuli1K5QmnqVy2FrpezE1Cftu1lsCM/efqRyp0EA5HBzwfer9PzWluZc3LiQYvYKaba/zXv9wiIp/ec8Cro4cGlUZ+598qf2/B1q/e/uUJ/HX0OYffkBgysVZ1JdZaFbq0CdHnosCFBEW6R4gr8PvWau4IT3CyxMjIhJTNbZ77tVE3C3tyHC2IKQyGiCI6MJSBLx8tkztp29gU9gCMZGhpQrmIdS+XISl5BIeFg48UlJOFpbktPZgSblilI2bzb5nCy9RXgJgaEkpaYy44I3G++/on6d2ixfu16IqBIQ0BOxWMzWrVsZM2YMJUqUYPHixUJ2IQEBgV+K+/fvM3ToUHx8fFiwYAFeXl6CmCYgoCdv375lyJAh3Lt3j1mzZtGzZ08hu5CAgMAvQ0xMDHPnzmXBggV07dqVmTNn4uj4Y6Vm/4sIorQKHz9+ZFD/vty8cRNzY0OyODtQs1Auprb3xNhIKvhocib5R0Sz7uojDt9/ybtQqYPUxNCAbLZWuFpZULdEPrbdfcGnoDCl42ysrciRMxcuzs4kSYywtLSiUf2alCpZkqxZsyISiYgU2xIRHsaXoARSUpK5fu0671968/LJHVKSEggL/kyVhj15/+ImLu75cM+Wg+f3r1C+cg3yFyrJ1tUz+Or3Wc3me3fvqglhZrEhjF24lpW7j2BvY82u+RM4e8Obhy/f8uLtBwLDo7i1cgo+7z/QfsFWxrWui8+XAHbceQZAQWc7XC3NyWZrRZmszpgZGfIxPJoX4dH0blQdzzKFETk4k5iUzM3nb4mKjWfW9iM8+fAZRxsrbq2cQnYX3V/UOCsH8nl2ITwySr5t5JQVNG7dQ/53WJyppkPl6BKnoyLDaF41m9p273v3sLe3T7fG88+OnJZ9PhKJhJMXrnD69GnuPn1FYlISASHhNKxaHgORAe7Zc/A1KJhjZy8CUKFCBcaOHUuJ4sUzdD6A8BRrnjy8x/Ur59m7fQMxMWmRwDtPvcDEvgB3Lh9CLE7FxS0XhfNn5+ShLaxeMI6hoyczpG8X4r68YeBfU7h6Sxo9l8XBjmOz/6SYnXQxhOx7pCog6xKbtaHYh+x4TcK04n5d6XbFYjHnvJ9x4vYj1h2/xJ9tPWld3YOC1iZ8TEglJj6RLHkL4GBrjblCdJSsrnik2JbIREviYqO5ddub5w+u8uT+NRLiorG0dsDC2h5DUTJhwf74vH2Mmbk5oybMomndygQFB5Ma+gVzM1Pcs7hibGSEQWQgy3Yc5Ir3E6oVyUMWB1tMjIy48/I9p249xNzMBPds2Vm9fiMVK1bM8P0TEPh/ISUlhWXLljFl4gTsjQwwAdyszBnnUZSCDjZYuWsWvlLFYg4//8iB5x+4+sGfxG9Rk1ltLLEyMcYjuwsGIhFbHrxWOk4kggJuLjjbWuFia0VEbDy1PEpSrUQhSubNIc+ekpKaynu/IExc3Xn08h03Hj7jxQcf7j17jbGRESYmJrRq3YY9e/bQtWtXzpw9i5uTHVU9ymJva8PwSbPUbJ40YhCDenZR2/7m4R2qdh4CwJRRQ8juloWdh44RExvHnQePGdenI91aNKRB39F8CQzm2eGNFGrSDQBneztyuLmQ1dWZYlkdKZDdjfDoWC48fU/R4sVp07U3hnbS8hZvX78gOELMqf2ruHT+BHGxsQweMYEe/YZiaxCpVZSONnVk0+bNzJgxQ2n7padxSn9nNJ237HxmsSFMmb+chXtPKe2f3rERI5vX0t6BHosKNInSMvQRp338A9ly5AyX7j4kNDwS/+BQ8ufMRi73LFjZO2JlacGGnfvk7ddNG0mzmpXl45C+tcjNYkP4HBDEnScvWbh5H8/efZTv+7ObF1MGdufTsyfcfPaGHK5O5HR1wsLMlOLdx+BgbcHtOcOwiotmz70X9Nl6Un7sso4N6F65hNSWdMZg+GdFaW3Ish35BIez88w11lx5gJWpMWu7NiaPsx2ptva89Q8mn5sThgYGuGlZLCmbK7z08efanftcff6Bl18CsDY3w8HKAjMTI0Kj43j5+SuhMfG0KF2ACY2rYmdhik9oFGKJBLukJJwszYlJTOZtSAQTTt6kmJMd7pbm2JoaE5aQyOF3fsQkp5AoEjFu/ARGjR6NiYl61hoBAQEpjx494o8//sDPz49FixYJqfMEBAR+WSQSCdu3b2fUqFEULVqUFStWUKhQocw2S0DglyU+Pp4ZM2awaNEievTowfTp03FwcMhsswQEBAQ08u7dO4YNG8atW7eYPXs2vXv3xsDAILPN+mUQROlvpKSksHDhQqZNmUy7yiWZ1sEzLbpJ1kZBjH78OZAnX4KITkjiyrN3XHzvh6mRIY0L5aRKTjcKONlRxNUeE0NDZRHM3on38fDsayRJFg7cfvgS38+BfP3yCRNTU4IDfHj3+gUAFavUpGQZDy6ePcHb18/l5zYyNiF73tJ8fHUHa3s3DA2NiQjxle83MDBELE4le56iVKhSmztXj/PZR+pwzJs3LwYGBhQtWpRWLVvi7e3N2+ePSUxKpnTxIhQrVID+oyaQmKQeOWJuakJ8YhLBR1bh3HyAfPt8rzo4W1uw5soDbr73UzvO2tSY6G+RKKv6edG9tkfaTnsnQiKjWX7wLHN3HWftyF50qV9V52d1LyCK6l2HKm2bNG8btRq2TleM1oeQT7fp166K0rY1Ww9RvmKaXek5wLUJ098rSId+eMWQ2cs4d9ObEgXyUKVMcYyNDKlXqZw8ak3mjJ65ZgdLli6V95Evb15y5MiBu7s7VatWpXr16piapt0nWVp3bfaHhQZz4/Zj8hUsjqOzG4aGRqxftZA966YqHZMzXwl83j0BoEixUkwcN5qyZcvSvEkjXr59T8Hc2Rnaog49PGvII680CdOqorSq01pbhJG2Pr5LnLZ3UkoZr4n0UqfKxGlIy2yg+HyGRUsHoqjwIA6vH8a1M7s09qcNc1NTDA1ExMQnAGBoIMLAwJBevXoy9+95Qq08AQEVHjx4QM8uXYj67MPYgrmp4GiPbTZ7pTYyUToqIYkL774Qk5zMu5gETj97z4eQCCrnzUb93G4UcranhJsjzpbmaucR29vw0DeQlNRUvqaKePjRj8CIaIIio7E0NeHSs3ckJqdgZ2XBcC9P7r/5yIX7z4lVqPOcI5s7fl8DSU1NpYKHhzw1tgyRSISlpSXVqlbF0cqU7fuPyPeVK1Wc2Lh4Rv3Rm4jIKLwfP+WLfwDZ3LLgUaYEV69e4+C5q1rv0+Kxg/APDuHvDbsBqF+lHCO7t+Xczfss3naAlJQUpbrSxkaGGBoYkJCUjL2NNa9uniPGTHofI8W2SCQSbl69wKwpo7GxseXkscPyYzXVkgZo17493t7eaecwNuHsgwj5O1RxYZlMnNY2viqK0QDxfj4MW76NXRduydtUL5KX05P66RYufkCUTk8wFYvFrD9wksnLN2FibEztiqXJ6eaKjZUFf7RvAQ7u8rav3n2gevMO8r9tbawpVjA/7m6uFCmQj+YN6pLNXbl2s6ZxXkZqaiq3vB9iYGBAkQL5sLWx5v0nXyo3aavUzsHWBmcHW15/lC5ynNS2PoMbV2fP9YcMWncAgDEt69CtdD6yO+g3/mRIlJbxgynxFUvw6IpYNnJ2UdufUXtTgoNISRVz6OFrhu0+K8+YpA/GiDARiYiXiJFVajcXGeCePRtbd+2icuXKGbJFQOC/TlxcHFOmTGH58uUMHz6c8ePHY2FhkdlmCQgICKRLZGQkkydPZu3atYwdO5YxY8Yo+WsEBATg/Pnz9O/fHycnJ1atWkXp0qUz2yQBAQEBvTh27BiDBw8mW7ZsrF27liJFimS2Sb8EgiiNNHVOr+5defnqDQXcnbk370+5I0qTU6rbxqMc/BYNZWRgQPncbjQslpdeVUtha24qPw6Qi1uqEZRhcaZyUUqGg7XU7RQZFsSTexfYu3Yi4WHBVKnVBI8q9TCxlabtc8pZmZh4MyQSCeHhSSTERfDy/kUiQz9g55yf4hU8Cf96i1f39vDqwTnCgtWFYk2YmBiT9E2Mbt6wLtkdrFi+87B8v5GhIfZWFjzcMIvlOw8z5+AF+b6O1cqw89oDpndsRJOyRfAYvZDkVDGPJ/cme748dFq0jVMPXgLQp15F5ndvjsm39CqtFm7n1J3HACz4oxMDmtfR6RhOsnWm7aRlnDlzBoBylesyd9VhIhLSxAHVe6t6j0HqpH399BaP75wjNjqCr5/f8uXTK4L8P2JtY0/dhk1o4dWJYiXKyNONZpRIse0Ppey2Sghh947tTFy6EQtzM5b8NRjPah5KbRQjo2QO/Tf+sRgZGfH00X28r5/m69evfPr0iY8fP2JjY0OD+vVp3bo15cuXp6GnJ2/fvqV48eKUL1eOP//8kyiJLVcvnuH44b1cv5xWQ9zZLSdxMZHERkfIt/Uet5PUlGRePjjP7fPblGxbtm4XtiZJdO3WTb7t4qJxVCqaX6dTWDU9t1LabZU6jYrHaxOgdaFVBFf47srSvaoi2w8KqUG/tZf9vwzF778iMpHF3/ctH17dJ7u7AzncrImPiyM66B2pKSmYJEZy5MwFTp6/DMDG0X1o06YFACHhkbz++JmXH3y4eO0mTz98IUVkwPJVa2jRokWG74eAwH+N2NhYJo4fz/Jly0gRi9nklp/sJmY4FrJTEqVlgvTF919ot/OsfHs2e2vqFs5N18rFKZ/LXa1/0FEnV5XwEJKs7Hj68TOL953m+K2HFM6Tk+Z1qlC2SEEiJCYULpAX+zzSDBcRqTaIRCIeet/G74sviQkJFPNohJONmL07NnHn5hWePLyn130wNTEhMUkqitlYWzFj7HCm/r2E0G9ZRwxEIsQSCbPHjcSrmSf5KtaRH1urQmmevH6Pg60NFzctZNrCVdIsEl6ezOjtxcnbj2gzWboYqmiurCybPIJiHlWINnXk+vXrdOveHYD8+fOzY/t2eeoiTeUjAO4/eEDbtmmi6Lp9t8hXqKTawjMHi0SdEdPJgR84cvAAIX5f8A0M5a3PF55/DiAxOYWqhfPQvnR+WpcthF22bNrrG9s7cc77Kc3GLcTdyZ73Oxdqvcffk777rY8fQ2Yt5cbDZ/Ru05ipA7tjbakupCiOJwmJiXz2+4qRkRF7jpzgo89n/AICefLiNQmJiXiULkHLRvVp17wRh64+YMTIkQDUrVuXvn37UrNoTp6/fsu+Y6c4eOIsAUHSchXu7u6IxWICAgLk56pWtSo9e/bk/oMHXD5/lmev3sj31fIoxZEpA6k8cCrPPn4BoGWFEmwf1km+Alib8Ku1nMZ31JZOD62LzHTMQzTN/9ND1zHBvl956B9CaFwC2SUgAoLiE/jiF46lkSHPo2JY+166wDS/iRmrsuQjwT+JZImYUBcRvsmJvEqM43JcJFGI6dajB3Pnz8fWNuOlZAQE/mucPXuW/v37kyVLFtauXUuxYsUy2yQBAQGBDOPt7U2fPn1ISEhg3bp1VK2qO1hDQOD/gZCQEEaMGMGhQ4eYNWuWULZOQEDgtyQ2NpbJkyezcuVKRo0axbhx4/7vF6D9X4vSiYmJTJ48iaVLljK8TQP8gsPYcuYa87s3p5q7PYWLFsLYyFBJoAbos2gL228/w3tCT4oWL6wUVakqPgNyATo0PE0QDQtLi/JxcFB+CB3tDeTiqWp0i2I/sj5Cg9Mcso7OaYKXg4Mp/m9Os3R8Y633wMvLi7ZeXkybPp23b16TkKgcxZHL3ZVP/oEAlC6Uj82zx1LA0pA3n79y4Mo9pm09BICFqTELuregS81y9F+9l+1X7nNx2kAqVSxHtcHT8X79AYDiebLz9MNn9ozsRrPyUofBlxQDpm4+yJEb94mOS2BomwaMbNcYJ1trjTbPPfeQKfOWUtvTiwbNO1O2Ym0MDQ3lzmptgrQiFkbRrJ7dj2tndmFj54StnQPZcuYlW878lCxXlXq1q2BsYvJDgvL3oBo1NnneElZt3kmXpvWYMbQX5m65NR6nb53rD+9ec+nELo4dPYrv589069YNiUTC1q1b5W1y5s5LgL8fiYkJFC5RnnLVW3Nq3wpCAj9TvXFf7J2zU7BkTZ57n8HO0Z2azdKi5lOSk3j54DxPbuzm5cPLLN16gfw57YkLfEXVatUAabTVx7M7MYkM1uoQ1ipKw08XpnVGZts7EZ21CNGmjlgnhsrFZrljOzxE/v0Pdiios0aqIopR1KAcSS2LALQ1jZU/f7J+4+ITCAoJpZCDcspwRUxjgtl54gLjlmygXv0GrFi5EienjDvxBQT+C1y5coXunTph/jWMlhI75kkCcDQ0YqJzDgoXciJ3XmlNe5kgbebqyKPPgVSbu5Um5Yqyd2Q3zYukvglj2gRHRfFLV61bxTFeUZQFze9zxUUtMjHWo4gbKSkpmm8AcGTLarwfP2PeinUkpySTmpo2F7G3sSY8Kq08w+zxI+nV0QuxWMyeIydYtmEb7z76ANCwqgcrJw4jzt+XYj3GUr5QHs4v+IuLD5/TcsJiQLp4TSKRULl0UU6smkOCpTTF8er9p9m9Zw+vXr3C1dWVHTt2kC1rVoyNjdXs9fX1xcurNWYmpgzr250S9TtjbJNHoyCteB8Ux2vrxFDOnzhG/ykLSEhOJouDLdmcHcjvbEexHG409yhOdie7bzch/fdjYHgki/edpqFHCWqUKizf/vZLAHncXDA0lM47ZKK0PqmkEyydePn2PU069cLJ3o5VQ7rI+9ZYW1xHam7ZsxMdHc358+c5dvw4169fx8XFhWVLl9LGy0upff58+Xj77h0O9vY0btKE0MgETh7dR7kKVShdrhI5cuXB3NyCa5fP0mPoXHK4SmtM2xpE8vHTJy4eO8Duw8fp3rQuw7q2QSwW027ENM7ckC6Q2Di6Dx3qfovkVRivVefTSnyH2Kzav159yNrL2uoRNa2K6hxFn/aKxPin2Rz5JRyA0FcRSCQSvqYk4WhojPir5lrX5llN8U9OZHFsCF9NjNiwdQsNGzbU2xYBgf8SERERjBgxgn379jFnzhz69+8vpMQTEBD4rUlOTmbx4sVMmTKF3r17M2vWLCwtLdM/UEDgP8iBAwcYMGAAFStWZMWKFWTPnj2zTRIQEBD4Ie7fv0+fPn1ITExk8+bNlC9fPrNNyjT+b0Xpu3fv0q1zR8xSEln3R1uKZs9Clh6TiPqWChegR20PVvbzIiI2nrtvfXjw/gsLj14i+lv6vb9H9KN7z558Mc4jdxS/C0yL1lUUoR3tdf9AVm2rGNGriDZxWyZsO9or7weIDXlMwJfX2FoZYmFpQ0qMH/dunqdWw9Y0qFdd7hC3EUXw+OpZAoKDyeLsjLGxNJK52+BRHNq8iiIF8slFOQCj8EA8+k/i2ccv9GlSC4OkBI7cfUZARDQdq5VhwyBpesmiQ+bwITCUigVy8sovCJGBATeWTyK3mwvPP37hzL2n5MvqSv2G9fh74x5mr9sBwLkFf1G1eAGla0mydca2QhMALj6JlduuKfJcFYlEQmRYAPcu7ebq8ZVEhH5l+MQl1G3cHgMDA7VoqwcPHnDnzh3MzM3p8C2VqJGREQEBAVy4eBFTU1Pmz5un85z6oE3I3HHgKMMnzWTG2OH07dJeY5toU0fi4+NJMlVO1Sl7HpOTk+jatCQBfj5UqFyDMuUrUbREabK4ZWVwnw589ftMhQoVuHPnjlrfy/a9xD2H9P7rI/QrInt+ZVFsJ47sY+KoPwBpatmLa+cAKuIuekRUKaIgTutyJqcnUqeXLlxRdHYOe63Rbpl4/cU4j8aFDLpqpwJqab5BWWjRV+xW/H4GhoQx/O+V3Hn2hlWr19C6dWu9+hAQ+C8QGxvLmJEj2bB2HV1woInIjquSaBaI0yJATQxE3OnYALecWXifKua+TwA3fIPZc+MhAG6OdnzYtUhJINS3Zi+oi8yKaIsQTm9hkbydwrsiIiwYn1fXiYuNwdLSCmsbWw7t207hvNlp3aYNua3SjovwecP5W/dxtLPF0tyU/DmzMWzOcmwcnFk6c6KaAH/g+BkGjJlEVhcnejSowsWHL7j57C2ONlZcXjKefFmzsOrIef5csQN3J3ucbKx48uEz4/p2YmzvjkQYWXPg+Bm+xiTTvl07IiIiaNqsGbGxsTTy9GTZsmVq1zZx0iR27tzJ3nVLKVurkdoiP8XU3aC8gMc0OoDrd++zZ+8+Dl24TvOqZVk2pCvOdurppMOjY9l3+Q5fQyNoU8MDKwszvF9/xN3Rjn2X7+ITEMzI9o2lmT30xKxed6LvnUy3XYKlEyFh4Xi27YaNuQkXFv6FtUXa/FHxmUv+tuAg1TaLWj8Am/ccZPS0uVhZWtKyZUuKlyhBsWLFePDgARMmTMDY2JjkZHWBs2aD1oybvQFj47T6xNqEf1AX/xWf4cSkJLKXrib/+8qWxZQunF9rZLJWdCz20FZKI90+VftXba/nXEKR9ERpbfMORTFaRuSXcEJfRShti/dLVGuniHlWUyQSCSdjwlkTE4xX23YsWrYUOzu7dG0XEPivcOrUKfr06UPRokVZt24dOXLkyGyTBAQEBH4ab9++pUePHgQEBLBx40aqV6+e2SYJCPxrBAcHM3jwYM6dO8fy5ctp37697jJLAgICAr8RycnJ/P3338ycOZNhw4YxefLk/8uo6f87UTopKYnJkycxf948UlPFdC1TkMmlCiASiSi14zSRCUnUKpiTy298KJzFCUMDEc/9QxBLJNiZmxIRn+Yo2r5iAUXqdZWn4wZl8U6bsKzaDlATkmUitup2XSgK36HhYjUhXNEeTU5dUI80kiGLFJUhi8YcNmc5iUnJmBgbkdPViXrF89HesxZlC+Ti7r0HhEXHEZuQyMYLd7j8/D0d61ZmTrt6ONtYEWJgSvEeY4mIiQNg598TeP3pM1NXbkEkEvHl4l6sLS3kjshkOxeeBcVSuUlbOvUZRavec+T2aLqfjvYGREcEc+X4aj69vsfHV7eJCg/G2NiEyrWa0P2P8ZQsou7AsDWI5OatW3Tp0iXtek1NSUxMu2dFixTh+YsX9OrZk3Hjxqn1oQ+6hMbbl87TethkOjety+Kxg0i0cpbvkwkYR48eZdHixfj6+lKiRAmGjp1J6XIVlfpJTU1lWL9O3LgqTbVuaWlFbGyMUhvXLO4EBvhjYWnN8IlL8f0SRLGyNchXJG21zveK0iB91k7tXcLf0//Cwd6evWsXU6JIIc1Rx2RQmNZARtNt6nWeb47y6KxFlFN5Kzi3k3MXIdihIL7x0vS+ioscQPd3CzQL07J+FIVpReFZk0CmuF8ikbD/7BVGzVtFvQYNWLl6LQ4ODlquXEDgv8GNGzdo06IlYaEhJEkkbDTMjYvImDPiSJaJAyluasEXSTLhSck0yJ+d6z4BxCYly9NXy6jlUYojy2cq1YlPD02icnoLVXT1q9qf6vsB9H/XgPL7QRFN75LAt8/pMnYWj169A8DFzoZS+XLSrnZFmlYuTUx8Io/f+5CckopfcDjDV2wnq5M9q/7sQc260tTfwxdvZsPOfRgbGVG7aiUG9uxMrxETCA4OZvmyZXh6eipdq61BJN27d+fx40c8u3KSEKvCWq8bwMYkhgtnjuF97TSPnzzhzZs3SCQSCufJSb+2TenRsqE0K4cKYrGYLK0GEh0nXYhoZGiIWCJGLJZ+/lkc7AgIiwAg9OhqLMx0/0CQiajW5RulK0onWDoRn5CAV+/BfPTx5dqS8eR0Vb7/yXYuBIdF0HfKAm48fI6pqQk92rdm7OB+alGAJ+++oHuPHjrPmSNXHnw/faBL3zGYmJph7ZwPjxotMTXTv+yJrsj0iIgI6tSuTURUFAN7dGbC8D+wTAhX60tJWNYkJmuIdNaaelsTGRGoVc+rpzCtT1rvjIjSoBwtDemL0opEuYpYHBPMFxMjtuzcQd26dfU+VkDgdyQ6Oprhw4ezb98+Fi5cSM+ePQVHtYCAwH+S1NRUli9fzvjx4+nduzezZ8/G3Nw8/QMFBH5jjh49Sp8+fahcuTKrVq0iSxbNC3MFBAQEfneePn1K9+7dSUhIYPv27ZQuXTqzTfpX+b8SpV+8eEG7tl68e/OGhOS0VJfzSxbmUUQU2338sDc3xdnSnFpFcmNhYsyi83fxyO6CRzZXHJzsmHbsGm6OdhxfPRfbUrWJktgpRfCkR1h0WhS0zAGoTXhWTPGtiGq6b00oCtK6xGhFdNVlhDTn9mf/r8yet5D9Z6/K94lEsGhgF/o0qYlEAt3mrObAFeU6l/VKFuDouD7yvyOMLSjTZzzxySmkpKQSExePoaEBA9o1Z2zvjthYKddUTLB0IsrEgU7dehMUFML8HU8A7QJ/aOAH1k6qRlJCLEVLelC4RHly5ytKmYo1sbVzVHPkK177uvXrmTNHKnrnz5ePunXrUrt2bUxMTLCysiJLliw0aNiQL1++cPvWLZydnTX2pQ1dgvSLe7do8sdfVChRmL0LJ2NsZKRWmzggIIBq1atTtmxZcuXMyb79+ylXrhxrd57S2OftG5f5o4cX3foMZss65ci03WdfY2NrT1xsNCLLXBm6DlU0LcqQPXPmojBsRJGYmpqqCaz6CtPaUBWSf1SY1nWe5NxFlOpGKxLsUJBIsS0fw6XCr6bvmyaHPqCWzlub0KR671TFJLV7Cpy++4Q/Fm1CbGDIth27qFevnh5XKyDwe5GUlMSkCRNYMH8+KQpTGwuRAROcc7Aw9AuR4lScLcwo7OZIK4+iDNx5BoBuDapROGdWDly9y71XH1g5cRgNmzbDytJSo2isSyzWJRJnlIyK0qrn0jTWaBOmZSSnpLD75EVGz19NbELaO6xDnUpM6tqSXG7OnPd+RtNxC9SOvbJkAqUrVQKk76ZZS1axeO1m8ubKwQefz0gkEooXLsjkaTMoXbq0RhH/6qWzDOvXiW3btlG0QkOd93bGxBEc3LOVQoUKUaJECTwK56FEkUJUyOWkU6RITErGuWoL+d+z+rTFytyM+uWK8zk4jAqF87DkwBkmbtjPkNYNmNsvLVtJaFQMlx6+wNOjJJbmpkpRvemJ0gmWTiQnp9Br+Fiu3r7H0eUz8SheCFBP+d59/FyOX77JiAG9mb10NQDn920hd+kq6teTmEibNm1wdHQkMCiIN2/S6j637/EnfYdPx//LR0ztC2JgYKBVgNY0H5XNJx2sxRojp0H63EkkEmJiYrC2tk73uUtXYFZNsZ0RvleYlp0vPETnHELf+ca/KUzHiVOZLvbntSiBvgP68/f8BYLTWuA/yfXr1+natSu5cuVi8+bNQnS0gIDA/wVv376lS5cuREVFsX37dsqUKZPZJgkI/HSio6MZNmwYBw4cYMWKFXTs2FFYdCYgIPCfJyUlhVmzZjFnzhwmTpzI6NGjMTQ0zGyz/hWMMtuAfwOJRMLSpUsZN3YMXWuUZXWTjhQwNuTqo7e0OX6dkY9fYiQS0b9EPqY2q4aBSISZqyMXXn5k0fm73P0cxN3PaU4nsYERNiVrSQdIDZK+aoptGTrTcmuoD60JxZrRWtsoOBBl6BKj9eHps2esX7GEtx8+8d7HV16TcmibBhy/85T3n/0ZtnwbKw+f4+Tfo9QEaYCklFSCo2JwzpmL47ceUjC7GyfXzqPLmFmkpKYysX8X8uXISuG8ObXaIRKJMJAk4ZZN2kabIC2RSLh+dAaS1CS2HX+Eo7ObvI3UkapdkAZo3KiRXJR+++4d/fv3xyI5itcvP3D2ynWu3LpHUlISw4cP/2n1eiUSCVv3HWLSnMUUzZ+LbXPGqQnSIE3zsGbtWsRiMYmxURw8dIhSRQszYcIEbA0iNTr5K1SuQd78hZQEaQMDAywsLLExjcfcIjvmFlaA9udEU9pUtf0qCy4Uj4uXOGBiYoopkRpFHuOIILlDWOb01ScayczVUamdkbOLXscrOpY11bTWSGAoZsFBWCuI05quRXafNN0zmcASibrwLEPbdiUbvwnjqgKTpijus9fv8jU0AoBmTZvQu1cvwWkt8J/ixYsXdGzrReJnX+ZUK0mTPFkRIaLbmVvc/hrKuKBPFHax58pAL/IUkqZjFts6sPXRO+68eM+WM9eU+stVuBgShxxEk35KbVWhWFVE1VQ/XhFtC1V0nUMT+ojf2gTpmLh4Vuw6zMkL1/gSEk5wRBQARbO7UrlkEdYdv8SuC7fYdeEW99fOYMf5G2p9WJqZEhguteFFSDyvbl9h9MA+GKckMG/jbuaN7I9T9tw0rFWNOAsXpbTciu88iVg6jti5F1Y7hyIvnj3m0N5tjBkzhr59pAveZGKoppFK8dpNTYzp3aYx6/efAMAnMp4mubPz9ksAZ72f0n/BBt77B1G+UB7+aK4cedpjzhrOeT9jbr/2DOjVBX2QjeMffD4zYPQknr16w9bl8yhRsTJ8s0tR3L779BUHz13FxtqKvUdPYm5mytBhw8lRoqLG/k1NTenYqRMTJkyQbytWogzPnjzAydUdkUiEuaP0fmZEkJZtd7SXCdlpiyKVxrdvm22t0+qjqwrTiou5ku1c9I98VhWmf0R01ud8gFGBIhrFaU2ZVLTNJVTTe8vmFVbuThqFadts9kR+CcexkB2hryIwz2qqtzAdJkrlKfEggTUrV3P66FH2HDkqOK0F/jMkJyczadIkli5dyowZMxg6dKhQO1pAQOD/hvz583P9+nVmz55N1apVmTBhAmPGjPm/cVoL/Pe5efMmnTt3Jnfu3Dx9+lSoHS0gIPB/g5GREZMmTcLT05POnTtz/Phxtm/fTu7cuTPbtH+c/3ykdGBgID26deX5A282DGxHRScruWMoxj+Ekx/9GHjxvrz96OqlmeBVhwt+YSw/eQ2/0Ehe+aU5mQb36sqwvyYByB2qivWMQ8PFahHOivWeFYVi1WNUBemIIKlT2M5FWgvR0dlSZ5S0JjEaNNcETA+Zc/vVq1dcuXqVJUuWkC1bNupUKseV2/d4/e6DxuPMTU34vHcJnwKCeen7FUcbK5ztrNl8+horDp2jeslCHFw5B6cqLQDo49WE977+fA0O5c7ulRr7VI0S/mvcOC5eusz8Hc9JNlB2VoaGi4n4epejm8bw4uFVRk5dSeNW3fW6dlWHvre3N+3aS+tNi785yQ0MDChXshj1a1ajSb2a5MmZQ25XRlB01sbFJ7D/2Ck27NrPyzfv6NWqETOH9cLAMZvacU9evGLwpDm8fv0aFydHAoKCGdqnG6MH9iXByhXQLqBERoRz7fI5zp44RAuvztSu31i9jR7Chy60ZQtQfQY11aTUFOGr6nzWJh6nWxdaw7HaSAgM1RrJBFKHsuycRs4uSjWnFVFNx60oPGmKftT0fOqKelS8X2KxGIPIMJ3X+NwvmI03HrPpxmNMjIzIlj0b+w8doVixYlqPERD41ZFIJKxZvZoRw4fRtWAOhpcphEN26fffzNWRhOQUKs3ezLugtFTCIUdWExUXz6wD5/F+9op3vv7ExMUDkCObO7t27yVLlizydNIy9Kn3rPgOVX0fqoqB2tIi69Onrlq/qmhK/S8jNj6Bwxeus+PQSbxff6BltXKIJRL2XLytsS+AVcN70KZGec56P8Pc1AR7a0uszc0o128iAPfPHWbnwWMsWLUBUxMTRgzoxawlq9i3fhk1KnkQbeqoJEirXse7Ny9p26Q646bNp037bmoif3R0FJvXLmXXlrXkK1CYNdsOkcVSuWayrmwkMlJTU+k8cAQXrt3CxNiIpG8ZdNxdHGlYxYPGpQtQv3xxjFQcfsNXbMcvOJxdEwcidlROJ6caKS2bvzx48pz1O/dy9PQFsrq5svrv6ZQuXkTpWLPYEBISk5i2aisrdx8hR1Z3Pn3+QsGCBVm+bBl58uSRt1V8NmXPpUQi4aH3bc6ePEx0dBQz5q0kKklaUFxTiRnQXSJGNpdVnMOqovgMa4vY15VCXqcw/YPis2w81Lf0R4aPUalPnZGU3prmGDKxWlPEtFgiwSCdSJE4SSrXJDEcFIfiTwrGhobMnD2bP0eMEMQ7gd+ad+/e0bFjRxITE9mxY4cwbxUQEPi/xtvbm44dO+Lu7s62bdsE8U7gt0YWITh37lymT5/OsGHDhHmrgIDA/y1xcXGMGjWK7du3s2rVKjp27JjZJv2j/KdF6dOnT9OtU0eqF8rJst6tsIqLBpQdQwkpKay+/ZxdT9/zNTKGoU1rcML7BU99v1KpaH7cHO0oWLAAlUsVJV/JsphkyasmRstE5ffPvwJpIjKkRTbrcurJnIKKYraqQC0TpFXrRsv3a4jC1pU6OD0CA/xZOm8ap44dwMzMnHIVq7Jm+SLMzMwQhfmyZe8hTp85x52nrwDI4eZCaqoYz/LFOHXnMdFxCZQtXggDkYjo2DhmDOnFsh0HOXb5FlmcHIiJi5eLAAAbpo/Cq0FNJRtUI4Rlwm9AQAANGzWmUp12eA1co9QmMSGOIc1tyJm7EP3+nEGFag30um5dEWbWiaHExMby0deP7O5ZsLO10dguI8K0zEkbGBxC654DefvRB89qHvTu3pWqFcppPEYikVCqTlPsbG1ZOmMCQyfMwMrSguPb16nVJQZ1MVSVHxFb9EFVkNFVj1KTaKIp4leGPgKzthSbqlHQioK24oIVmWNYFdts9oCyOC07nyx6WhGZACM/XkfabsX92kQVs9gQ4hISMDU2JjnwC0W6jSYkMoYDA1pT3clWzdktsxMgPD6RP07c4PzLTxiIwNDQiIWLFjFw4EAhNZLAb0doaCi9unfj9qWLLKxeivrlCit9H2Xc/hrBlE0HuPb0NW1qeGBoYMCBq/ewMjOlbpXyGBoYUr9BfXJmcydHiYry74K2us+63peq5TwURUBZxKkiqsI0KL+zdZUH0SRm67OQBaQ1lTcfPsPsdTsICosgu4sDq4b3oHaZokgkEh6/9+WvFdu4/Py9/JhyBXOTKhbj6uLKudveFMqdgwI5s/Hq42da1q1KviLF+WPMZJKSkylXtix376VlTPEoX54tW7ZgYmKiUZBWvY7p44dz5uQhjl24j72Do9J4NnvKaI7s30nnngPo3ncIVlbWGq9d9fp1kZqaymf/AAyigsifM5vG96Fqem1NyERpxXFg3sr1zFuxjhxZ3ejRoQ3d2rbEylJ6PbLnSmbnsg3bmLN0NWOH9MfUIQsTJkzg/LlzSqtk9RmvQfOzo/o8pkdYWKLeorQMXWO8IhoXoinynaJ0RlJvazomIyK2vucF/URp2b7wz2EkpoqJexfN5ohAtkUGUUVkxRgDN53itEQi4Zokhr/F0t8jpoYGVKlSle27d+Pm5qb1OAGBXxGJRMLWrVsZPHgwPXv2ZM6cOZiZmWW2WQICAgKZTkxMDMOGDePgwYOsX7+eVq1aZbZJAgIZxsfHh86dOxMSEsKuXbsoVapUZpskICAg8Etw9OhRevbsSaNGjVixYgXW1taZbdI/wn9SlE5OTmb8uHGsWrmChd2a0rlGOUQikU6HkdjegRrjl/Pokx+Nyxbhj4ZVqFW9Ein2rvIUvYpi9FtfCA1N4NXDa3x6fhkHV08Mjcywc3FAJEpz3GmLctYmLmtK461JkFZFW1pwSD8KSxGJRMKpYweYM3UMZmZm9Bs8hmatO2BsbKzmYFy9ZRfTFy5n5B+9eXDfmzM3vHF3ccTBxoaWdavy4MVb4hIS+BIYwlufL8we3ofCuXNy+sZdbj9+zqNX7/mjfXMGtG9OTndplK+qoCdDVfAdP3UOVy9dYOGu50TGm/ItYyiJwZeZ/Ecdpi3eRbU6zX9IjFa81oySnkAt63P5xm3MXrKaG9uXUSiPNOpa2z14+fY9NVp0ZM/aJdSqUpE5y9awfMM27t27h5WVlVpkriLp1QvXhT41TVXPoRrZp6sOpYx0o6Yh3chpVTSl8daWmtvM1VGjKC2LVpLhWMgO22z2SmKvkhD2LXJaFVm9aUj/M9AW2bjrygOWrF7Pq4++5HZxZE6XJnRfsoPYpGRszUw43LQquWys5LbLBHSAq1+C6H3uLqZGhgyqU47PYdEkpqRw64M/HtVqsHHLVuzs7HTaJSDwq3Dz5k3atWpBcTtzVvVohqOVubKYpKEW7brjlxiydCs5XB3p36wOPTxrYJktl/ydqynlcERkFPuOnaJwuSqULFmS8BRr+eptbQt/ZPME0J4qWUZ6i8m0ZZ/Q1F7Tu1XTe/VzQBB/TFvMFe/HtPeszZQOnrgXKqL2vv30NZjaf86icL48NKpegZHzVsn3jR7YB7+AQD74fMbC3IyL12/jUb48/fr357OvL2cvXuPG1QtYWVmx7cB5XN3cMTMzl98fVVTv4WffjzSv68G8ZZuoWdcTAwMDRCIRycnJdG/niYWFJeu2H1G7Xm1kdBxPr+621vOUb0Twi7vyvxMSE8lZtga9O3kxbfQweZpFxTmCom2tew7E1NSENRu3EhAQQO06dRg2bJg8Pfn3LCDTJkrDz4uUBvVnV1sEv7aFEhrF6QwK0/pmRAHpeP0jYrS2c+mqOa04x9BEkp0Vfxy5yl3fAOKTU2lh5YiDoRFrIwIAaCdyoIuh5jliqkTCSMPPvE1KoLK5DaWy2vMmKQFMjHkSHseO3XuoW7euxmMFBH41YmJi+OOPPzh9+jSbN2+mUaNGmW2SgICAwC/Hvn376Nu3Lx07dmTBggXCwh2B34YjR47Qo0cPvLy8WLRoERYWFpltkoCAgMAvhb+/P127dsXHx4e9e/dSunTpzDbpp/Ofqyn9+fNn2nu1ISrIn+szBlEwa5pzSJPD6fabT3wOieD265s8+uTH3K5NGdJZutIwOmsRpQjUj+EOUjE6JJ5bZ9Zx/fBweT8u2b2JjXyKRCKhUpO52DhURJyaDEhFaUWRWVGcVnUIOjiYKkVMa0vZrRolrQ+qDnTVlMFisZh5M8axZ/sGPJu2ZsykOdjY2kmPUXEqRps60r9bB/p36wDAl5dlqF2hDGMWrmXW0D60qldN3jYsMpqSLXvx16J1FMydnXt7VpNg6UR4ZCTPXr3FNX9RElRsTU/UbdawFvt3baZ9NQsMDAxo0WU0FRoOZPnUrpQoW5XKNZtkmiCteJzqdaj2l9XalOSUFLJlcdbZX7SpIyL7BExNTVm7bTclixamVNHCJCUns2v3brx6/ElYaBC3rl/m04e3RMWkULlWY0p71NA7Ol4bqumm9enP1jRW/rzpI0hrQ63upKLQpFB7WoYmJ7E+grQmFOs76ktKcBAEB2HsrF4H0z0iCOdvab5V0wLLUBWjVZ30J0+dJi4+gYWjB3L0zEW85m3GQCSiUcEcnHzty6FHH+iZJzsSiYTw5GSio+NYefsFBW0s2RMYQjY7K452bUSufGlpvkJi4ui//TSlSxRnz/4DeHh46H29AgL/NmKxmHnz5jFtymSmNKnCoDYN06JaNQjRAWGRXH38itj4RIYs3UpuN2cerpuJqYmxfPGIWWwICZZOSu/nj75faNi+B+GR32orFz0DwNs3b2jSqgN/DBtLkoEEE1NzrSJgeoK0JtITobW1d7BIVBrjZe8YVaH97tNXtBk+GUszM44un0lNj1LyfaqLabLaufD4qvS6k5NTsHZxZ8O+Y6SkpNBv+BiltuOmzGbP9g3cuXuX1VsOsmz9QCQSCU8e3kNs4kKiyIlELeVxNY0pWbPlpFjJsowa3AOAvPkLsWDFZg7v28HbV89Zv/NYhu5TRlGsf5yRY1TXr5qZmmJjY4ONSzbiLDSLnoqfkbOjA+eu3uDq1atUr14dFxcXzp07R+NGjTB1ys+TRzd55H2HyIhwnFxcadO+GxaWVlptSu95crQ30JitRxOaIv1lz7iDtVhtAZpsjqm6GEvxelXrTAM6x/yfiep84XvSfWvrV7EPxcVxssVvilHRMqzcnbjtG8CFd18YUqc8psnJLL/5lMSUVKwNDMltbMa5lCj6Zs0KQHRqKlkL27PV+wOhqSkYiES8jUxgTtWS9KxZBpFIhJmrIxKJhG23n9GiaROGjxzJlClThRqUAr80T58+pW3btmTJkoVHjx7h7u6e2SYJCAgI/JJ4eXlRrlw52rVrR+XKldm7dy/58uXLbLMEBLSSlJTEmDFj2LhxI+vWraNt27aZbZKAgIDAL4m7uztnzpxh9uzZVK1alfnz59O/f///VJbT/1Sk9OnTp+nUoT0tyhVhfremmJsYa29s78R7v0CK9RgLgJ2VBRExcQDsmjeBOo2aKkVHvws058M7X66eWMeNYzM0dlm+VnvCgz7z7vkN+bb8xatRvUk/8pfpwNvXYenWhdbmFPyeWtLyYzWk8Zah6AxevnAmm9Ys4a+p82jTvltaGz1SYorFYqYuWMaarbvxv7wPC5VVmoEhYeRv1IWJ/bswqmd7HvhF0Khjb+Li47mwfxvFCxcAMpYC+9aTT7x9/Rzfj+/ZtHap1FY7e3YfvYxrFt0ODH2jhb9XlNaXx7euUa/3SG6vmkqRstK03bHxCbz66EvR8pXl7WT35cqVKwweMoRyJYuydt4M/po5n4Mnz2JhYUFcXJxa//OWbaROg6ZK2zIaKQ36pwtVOkZLnWRdtuhM450eOtJ8Z0SMVkSf2tK60Fjr+lsktSwDgyKSEB+CQ8NwFCVgZ22F982bXHvymhxWprSpXJI+6w7z5mswh5fNwNXRnlMnTrP/xHlKO9ky/swdztTwYNyT19z/ljrAwtgIY5GIyCRpvdXulUuwrGMDNTvFYgnLLt5j1pk7zJ4zl8GDB/+nBjqB/wZhYWF06dyZ5w+92T6+P+UK5kn3mJYTFnH67hOlbQ09SrB3+Wz537JI6ZSUFE5duMLOQ8e4cO2WWl9FC+anfKkS7Dl6kvh4afkJZ2dn6jduTevuY5GYZ5eLdNoiUPVdRJZRNNX2VY2W9nv1hOpdh1AsXx52L5iIvY2yhKopS4fiO+rt27e0bN2aPgNH0r3PYCBtsZtEImHSsPY8unuZC7dfgUjEzKmTOLp3PbU9vZj49xaNdusaI2Jiorly4TRJiQlsXL0Evy8+AAz6czw9+w9T7ucnR0oroo84Lbt3zkU8lCKlo00dadW6Nfny5ePvuXPl258+e0ZxN2usrazk7WSlQroOGsX1u/c5dfIkjx8/ZtHixcTGxBATq36vSperyAYVgV5XXXNIP1pacR6qOvdM7/nVlM4b0o+aVr3H6Y77WgTqjERKa0MfUVrTeRTnGWplBL7Vn05OScXn7XtEIhF2FmbEBISw2fsVFiZGVMnpRlxyMk23nGRDt8Z08KyB79sPzDp0iQp21vx19RFeOdxwMzNl9st3pErA2EBEiliCjYmxfJyPWjYSkUikljni+ccvdJq5iiw5crFn/0FcXV1/4C4JCPwzbN68mUGDBjFixAgmTZokLKAQEBAQ0ANFoW/jxo20bt06s00SEFDD19cXLy8vkpOThQUUAgICAhngypUrdOjQgerVq7N+/XqsrLQHJvxO/CcipcViMdOmTmXB/Hks7dmcDtXKqjfSEEGVx92FYV1aExweSf3K5eg2bg4AHUbNoMH5e7x+8568xavTbvB6Pn8OZt7ggqQkK8f05itahQJFy1CkdDUaN2kCwIsnd/n47gXi1FROHd3Lhtmd6TM5CxiXVKsVDcpOP9VIaRmatsmOS3MopjkL87nGq7XXxYunj9i4ejFW1jY0byWNftbm5FV17sbExtFj2Biu3LzLn/16YOCYDVQcjFfvS0WBbHkLsOvKA0ZOnYN7FhfeffThxt37FC9cIEOCNEClErkoUqwkAFVr1iMkOJCixUunK0hnBE3pXPXF18+f9598iTOypmbxPFhamKu1yVO8NIaGBtx58Y4iZcvx/rM/nUbP4MV7H1ZOHEbnpvXkEXypqan4+PiQnJxM5XJlsLezZfW86dStUYU/xkyW92lgYIBYLCZv/kKUKV9J7ZzaonR/NvpEVCva8sMLAL45fX8m+gjPupA5qWUOasVIamN7J8zsXIg2saP94LE8ffqUiIgItT7srS2JiIlj3blbvPkaQkx8AgUadeH2rhU0r1qW5lXL8vfGPTiYm+JiasLjCGlkZ7lcblTPn4OR7RsR5f+V3fdeUL1AdrX+AQwMRAyt60Gl0kXpMn0Kt2/cYN3GjVhaZqyOuIDAP8XDhw9p1aIFhXO5c23HcuysrUjW0E5VzBrTsSkikYgmlUoxfethAsIiOX33CTYejWlVrzpP33xg08zRFM+fhxHz1rFt/xGl492zuFCxbGmK5M9LpzbNcbS3Y/Cov7hw8SJGhoY8fvKEPbu38MnnC93HS8XBjArS+tT2Ta+/sGgDuSCobUFQt4nziY6N568RQzB3y62WoUSGprF42/6TzJ48GvdsOahav7NavWJ78wQe3btGckoKL98HsnzuaB7evYyRsQnPH91GIpGoLXRJb4ywsrKmcXMvAGrW9eTOzas4ODpTvmJV5X7+4fFMJjirCqdRxrZ4P35KQkIiWd2iKJhP8yKJQoUKcffuXSQSCWKxmEWLFrFq9WrKlijK4S2rMTUxkbd999GXpORksri6kjNnTgoUKED16tWpXKWKvI2ZmTkJCdI5XsdufZXOpUuQ1jdyX9ciSNVoaW2LIRXPLYvi1xU1rXqPtdXshm/fcS3jvaaSHdr40YhoVRRLgMjH/m/7dl/xZubBi3wOCiVVrHzPzI2NpCWGxPdpVjI/AL22nMA7MIKFf/ZmTYUKxAX4M/CiN+VK5MFQJCL1xTsAvMoXoX35ItSoVIaj954TEB6FkbMLIgfl7DvJdi4UKO3C5W3LGDJ7OaVLlWTf/gNUUXiuBAQyk8TERIYMGcKBAwc4dOgQ9erVy2yTBAQEBH4bTExMWLRoEdWrV6d79+7cvn2b2bNnY2T0n3D3CvwHOHfuHB06dKBNmzYsXrxYSDUvICAgkAFq1KjBo0eP6NChAx4eHhw8eJBChQpltlk/zG8fKR0WFkan9u14++Ipu4d1olgOt7SdKkK0JieXzBH25MUr6np1U9sPUKxCK149OAFIGDJ5M2bmViQkxFKsbC1s7Z11RiJLJBL6d6yD74fnOGctQnJyCsUrd6V0jT7pRkxrErAVcXROcz6q1vyTidKKqbo1Idv/4d0b+nZpQVhoMCevPKJgVu2rLlTFww8+vlRu0o5OrZqyYOo4jce8eXiHLmNn8/HLVwAa1qrGyrlTGTB6MiHh4ZzauSHDorQiGYnkzYgD+3uF0jfvP1K/XQ/ivkXTjR82gCG9u2mMPu3UZyCX7z6iYsnCPHz5DldHexztbHj98TPPj27GxsqCBEsnnr58Q502XahbvTJr58/A6ptgGB4RScEq9QHYsHAWdWtUIRQrbGxsEIlE3xXlrEp690yfcyj2oZQOXEftU8hApDSkW3Nan4hp1ejmjB6TkfZGzi5c9Q2hwai59OnTh6JFi5LT1oSY2DgioqIxTY6hdb3qPHnzgYHTF2MgMsDZwZbcWd2YMbQXVhbmRPq8Z8DcNVx/9pa3ozpz4OZT+l+4x4ra5WjZqSn2Vur1eXTVwgyMiKbLst2EpYg4eOQoBQoUSPd6BAT+STZt2sTgQYMY0d2LP7u2kdd01obqO0M29jceMJZr95+qtW9QpTzP333iS2AwlcuVYfnsyZy/dpNyJYtRtGB+tfe24lgVKbbl9PGDjPuzHznyFgORMc7ueekyfC2W1vaqp1JD39TJmuYLillSZKK0bD5iaxqr9m6dOHcxa7buYkD3jkwdNVTtWjQhe1cP69+ZOzeusPfCO2xsHTRG4K6e3Z9zh9cBYGPnxPAZOxGJREwZWI+VO69QuHh5edsfLSsh7+dfGM81IZFI6DlsLCfOXwbA1MSEl9fPkLt8TXmktOzeXr16lR49e1KgQAFSUlL49OkTXl5e7Nmzh6lTptC5c2e5fc279eedzxdmz5pFrVq1AIhItWHGxBEc2ruN4qXKsXnPSSIjwrG0tMJYQdDOSC1pRb5nUUR6GXpU0aeMh+rnk16Eus65wU9eoKYLXfMM2Vhf+e/tmFmY07V+VXJlcUYkEhEeE0tEdCw1Sxcmh4sTAxdv5tbT12R1sEUkgil92lOxiDSC5Mj1+7SftpwNA9vTsXpZ8vefRtmcbkzr1pz8btL+FH/z6BL1JRIJa/cdZ/KKLcycNYuhQ4cKmVEEMhVfX1/atGkDwP79+8mRI0cmWyQgICDw+/LmzRtat26No6Mje/bsETKjCGQqYrGYOXPmMGvWLFasWEG3bpp97gICAgIC6ZOSksLEiRNZsWIFGzdulP+G+l35rUXp58+f07yRJ4WcrdkwqD22WdWjAFUdM6rpKRUdss8+hbF/1xa2bVih8XwWljacuB2QYTsjw0PYtW0Dn319uHlmM6WrdaLdkK06j1EUpSOCotT227nYKP2tKlA72huQzzVeb1EaYNGcyWzbuJKWXp2pWbU89erWxdRU2fGszanbf/QkPnzy5ezezRr3m8WG4BcYwrrjl2lSvzbFCkmFrt2HTzBk/DSeXz2FmXt+jcdmhPTE0YxGVOnjxJY9Q4ptuw8dw7PX7/H9/Fm+bcXy5XjVKq92fExsLDu2befGw2dERsciEsHNR88BGNu7I+P6diLB0olrt71p3Wsgd08fJFd2aU3Byzfv0GvYGKJjpeL3pAFdGdmjnfw5V6yJ/iPoe9+0nScj9bvTTeOZQWezrogpVQFZVZBWbKNpnz5oEqkV+xp/6g577zzj2s3bamKbPk76hSs3MGXzQcpmdWZ/w0rEp6TQ9fRtvAPDMDE0YP2gDng1rittrOe9S0lNZeKu02y6dI9de/fh6emp13ECAj+T5ORkhg8fzs4dO1g7fzo1KnlkuM6vIvEJiRy89YxZS1bx2f+rxjbLZ0+mbbNGWvtQFaRBKvIcP3me61cuyUXZ+Xu/YuuQJV2b9BWlVZGN8zJRUFGUVkyVrPgO8Q8IpFSdZri6utKhfXuaN2+ervNfdo3PHj+gq1cDlm27SLFSFbXWKj61byUWVjZUqt2GmCQLbC2S6dkwCy3b96Hn4LSMHvqI0prGDdVI24zys4Tpm/ce0KL7APLlzsm7j9K04hXLluKW90OCX9xVE/tv3brFzp07SUpKIjo6mjt3pcJ1FldXzp49K89K4dmoERUrVmTypEmA9DvQoUsPHnrflvd16al6qQ5b09jvqm2uKEhrStut+lwqLo7QNxW9ppTeqp+/LnFaExlauKZr3NOQRSndY1RILyrbNyySopPWsm38ANrU8Eg/ClyFiJg43FoNBODOqqmUcLBg88W7DFq3n1SxhPqlCrJr2nAszNI+G8VzaErLD3Dv0VN6Df+L+g0bsmbNWiFiRSBTuHbtGq1bt6Zly5YsXbpU7XengICAgEDGiY2NpU+fPly7do3Dhw9TtqyGTJICAv8wMTExdO/enfv373Po0CFKlSqV2SYJCAgI/Cc4cuQIXbt2ZciQIUydOjXdwJ1fld82n8uRI0fo0rkTg5rXZUKXZkofQEaE6JAEc86eOsL+XZt4/OCeUrsylRvx4OZJAEqWq0anPqO+y1Zbeyf6DxmDX3ASt89vI3v+Clrb6uuYjgiKUhKmQ4Nj5cK0tA9TwBwHa+Uf96pR3YppPq1tpP09eeTNoX3byZE9Oxs3bSJ3rlw6bYmLT+DDJ19sVOpTKpJg6YRjHifGDlFOL5CUlATA6+A4Sv68rNsa+VkpPrVFliluv+n9iGbNmlGndm22bNnCxUuXyJ5dc+pkK0tL+vXvR6MXjynrpZyKc+GWfTRu2pRUcQSXbtzG0NAQJwc7+f6VazeQP2d2SE7iwdtPZHeTPvtmsSFKz72tQWS6wrSqQ1uXaKDqNJZdu6bz/Mh9/1FBGjSn6JQ5kfURmhVTcn4PsnMkBIaqnU8ikXDk7lMae5TANjlcfRGBwtdXMcWpvO/YELp2aMOUzQdpWb6INN24fwh7GlfhY2Qsa9740HXJDgLCoxncuaW6A17L/TQyNGR258aUyOmGV5vWTJo8hVGjRgnRVAL/GiEhIXh5tSE44Ctn92wiZzbpAKH4HUhPoE6wdEIikfD6/UfWbt3N9gPKqbnrVirL+Vv3ARCJRIz8ozeN6tTU2p+2d79IJKJ63RZUr9sCgKfeF/9RQTrtGFMUy3ZAmhCp6f0tkYC1tTUikYj169ezdNkyhoyaRNdeUsFL9V2t+C5//fIZAFbWtloFaQBPrz+kdnwTQuNiIjE2MeXjJ58MXZ+2cePfKD2hDzfvPcDE2JjtKxZw4dpNxs9eSFY36Weu6TmpVKkSlSpVonefPnJBGiAgMJDZC5YzYNhfPHl4jy9+ftg655Df+6tXz/LQ+zat23fjwO4tFCqm2amoK0paE9+bMj4sLFFD6RjtONobKIji0uNk6bxBIZuPQikPTfdPdc6hTWhVRD5/0CY8q6D428FYcUc68w7VOYaqSH3s8VtMjAypV66YTkFa1QYZlnbQslo5Hr3zoVAOdzA2onttD5p5FOPCkzd0XbKDIl1G8nTL31hbmKv1oToflFG+VHHO7tlEj2F/Ub16NQ4fPoK7+z88ERcQUGD16tWMGDGCBQsW0L9//8w2R0BAQOA/g6WlJTt27GD+/PnUqFGDtWvX0rFjx8w2S+D/iI8fP9K8eXOcnJy4d+8eTk4/VhZPQEBAQCCN5s2bc/v2bZo1a8bjx4/Zvn07NjY26R/4i/HbidISiYTZs2cze+YM1vzZg1bVpZGn6QnRIHV0SSQSPn74wL79+1m7dq1am/JV6lKvSUc8qtbDxMSMm5dPUKp8NRyd3dTaZpTU6I+IU1MxN01V26fqlFZM3W3nYqMxWlpxm52LjVq677CwtGgq+JbiU6XOH6Q5M3v/MYLef4wA4MO71wzr254WLVrQrVs3mjdrhrW1NZbWIqUFAHcfPuGvmfN5/8mH3WuW6HUfFOs033v1EYAHDx9SsmRJvY7Xxo9E6Wrje1KKi8ViSpUsydatW6lVsyYXL10CpPXSdPEpSlohdcqoIUyZtxQDAwOSkpMZMGYSH3w+ExefQIOa1eRpuwGMjIxwsLXmyOQ/iIpLwDJbLqU+rRNDlQRj0HyfNEXSa6tLml4Ukz4CeEb6k/Mj6ThlTulvfRg5u2iNbtIUGZ2eeJ1ebcqU4CCNfdz96I9PcDhta1WUC2zRpo7ye6gYFagpIj/B0gknoGvN8sw4cYMqznYU+1YHu2RWZ6bkcGXf0/eM3nqUQZ1aqIvK6TjrOzSrT8FCBWg3fR7Pnjxm3YaNQhSLwD/OixcvaNy4EcUK5GPj1jVYWaqnoAfp8y/73iiO+TGxsZy7coOZi1fi66ceET12cD/q1ahCsUIFuHnvAcbGxpQrWUzn6sL0xgJZpGpEaABxMemPOd8rSGtegJYm/immU44U24Jp2jvDJlcRHj18SKTYlvj4OJYvnMniuVO4de0SvQf+iaurO3lczTA3N5e/e6Kjo1i/ciHbN66kQbPO2LiVUrNJVyTu+w9fiAoPxs/nNZ8D48nuai61Tcv48k/yM9N316xcgb9XrKPT4DHUrFEDgNAYbVW60/Dz86NFm04c3r9Dvm33tvX4+33myoXTGBgYUKdBE/k+WS3ATt3703PY35iYZDyaVZbeXYYmMVn1OdT1XGbkmZXNQ6VoF6cVNgPq8zbF758ugVpxoYrq74L0IqozVCpEB6p1rfd5v6RB6ULYWlqQ/J19DunVifq9RzJ6zS4WD+oCgIOVBV6VSzFp1yk+BYVx5Pp9OtevqvF4bcJ0FhdnDm1awejp8yhXtixHjx2jXLly32mlgIB+pKSkMHToUPbt28fp06epVq1aZpskICAg8J9DJBIxatQoihUrRocOHXj27BkzZsz4baOpBH4frl27RsuWLenUqRPz58/H2Ng4/YMEBAQEBDJE4cKFuXv3Lh06dKBSpUocP36c3LlzZ7ZZGeK3St+dlJREvz59OHvqOAenDaVIWXXHibboicd+kUybNo1r169r3N+hW18aN/OiSPFSetmiLR22Li6fOcjUkZ3pOmI91Tx7aXVKa6slrUmYlqGazhvSUnqrCtOqaEup6PfZh93b1rNn+3pSUlIAyJ8vH5f2bWbdjj0cP3eJ+4+fUbxwQRZO/YuSRQtrtU+GqmM/NTWVuXPnsmHjRnJkz07rjr0Z1KdTuv2ookkE/bcjquLj45k2fTr79+/H3t6e0NBQTIyNGT9+PLt27yY1NZWjm5bjaG+n8Xi/r4GUb9iSlBT1RQsuTo5sWz6fxKRELly7hZGREXY21qzetJ2wyGhCj64ixV65XlBGUnjrep4Va5OCZse+ppS2kP5nkF56aq1OYk0CtaLAGh6iW3BVOF6futPaoqVVhWYlcdreKV0hffjGw2y8cJst4/rj6VESA5esJFg6ye+nRCJRqguu7XOQhPpRr2N//MKi2ORVm0o50qI0W28/xdWPX/m7fwcGt6qvHA2mpxM+ICySNpOXYu7oyqEjR4WVrgL/GOfOncOrTRt6dfRi9MDeejtOUlNTWbx2M3OXqy82A6hR2YMWDevRpmlDTBXq8OqDLkFa8X0XHm9Oy+o5SEpKZMdl6XitSbDVljJZHxTnB7rGeNU03ppsTk1N5fjhPWxdv4KP79/I96/YuBczM3P279rMtcvnSElJoVOf0TTsMF7+eegSolXxeXOfxWPrkZKSTNEyNfhr2lIcnd3SFaV/1hj+M8Xoc1euM3zSLCKjY+QLzUaNHElYWBgbNm5kz549lNORIrH/4BGcOyWN2DcxMSUpKe3zHzJyIhWr1uTF08e8e/OCQkVLcP7UUa5fOc+Iyctp0qan3nZqqyf9Pc+e4kIIbfsVUc3kA8rPKqjXpNaV2hsyVgJEhrZMCprGvWQ7F83joZYxXHHeoGtR2qvnryk9bT3da3kwsmsr8mZ1VRPL4y0cNWYhUbV/w4GTDJ+7gv4NqjCvW1OMDA0BuP7yA/WmrCKLgx0P189UW5wI6UeWSyQSVm3ZyfyVG9i6bRstW7bU2V5A4HuJioqibdu2fPnyhePHj5MrnWxcAgICAgI/zqtXr2jcuDFlypRhy5YtWFhoXvArIPCjbNu2jf79+7No0SL69u2b/gECAgICAj9Eamoqf/75J7t27eLw4cNUrlw5s03Sm99GlA4LC6NVixZEhgSyZ/4E3Jw11H7V4nSJNnWkadOmvHj5Ur6t9x9/Us+zOfkKFP7hlLS6BL3gQD9mjOnBp3cvaNd9KOuWTKbH6M0ULN/l23XpJ0hrQpPjTxFNDmsZmhyBMlQdggFf/fjy6g59+/WjYYMGDBgwgOYtWmBlZcXMmTNpW6s8ht+cY7rQ5tgXi8UcOXuTg3u2cvPaRY5d8CZr9pxSW3Q4In92/egf4fXr1wwaPBh/f3/69e3L0mXLcHV1JSw0FAtLS2bOmMHQYcNwd3Pj1rHdGBurJynwDwikbttuhISGy7cZGIgQiyU0rFUN/8Agnrx4jaOdDaERUsEjT3Z35o/sT91K6k5wRXFT273SZ3GFoiity7mveC59RGzF7eml4dVLnNYzRafsuPQipWP8Q6TpsHWgKfpZTZiW2SkTqRXE6lG7z7H2+EWSklMomisrxmZmRMbEUbBAftp07Erv3r3JmzcvJ0+ckEfMqSK7j7F+H+g6cDS33/uxoEkVmjrbA7DF5ytTzt9jQPO6zB0/XGMf+ojTcQmJ9Fq6gyfvPnPi1CkKFSqU7jECAhlhzZo1/Dl8OH9PGq2zrrMmjpw+T58R4+V/V/UoS7+uHahaoRyWFubfbVN6EdKRYls2rl7MikWzaNCsE6+e3UdkZMb8rd6AdvH2e8VBRfQV+tITf5OSEnnz8jmTxgzi04e3nLzyiPEj+vPQ+zZ9Bo6kXst+OLtm1atGsTYCvrzh4bWDHN40nhqeXZg0Z5Vetv3IOP4zxejU1FRGz1vFtm3bqF2rFnHx8dy+fRsnJydCQkIYOWIE165f586dO6xcuZIG9eur9ZGYmMjyddtYuXiO2r4ChYqSNXsubl69QHJyEpZWtkRHSecC3f8YT53WI7Gwylg6Jl3R0d/zzKkK07J9uhZMgvKiSW3PLPy4QK3t886IOK0R2TxDYexOCQ5SyqqiTZh++PAZTZfvJTQmHhMjQ9pUKslR7xfkz+pK++YNefn+E5sPn+Hc3s06F3bKrmHL9j0MX7GdmkXzsW1YZ+wszYlNSMKpm/Td92HXIpzyFlA7Xp905wAnL1xh0F9TmThpklCyQ+Cn4+PjQ5MmTciaNSt79uzB1lb/rEoCAgICAj9GSEgILVq0ICkpiWPHjuHq6pr+QQICeiKRSJg8eTJLly5l37591KtXL7NNEhAQEPi/Yvny5YwZM4YNGzbQvn37zDZHL34LUfrz5880qFeP3Fkc2DBtJJbmyukL03O2RJs68uHDByIiIihQoABWVlYZSi+cEVRFvlnjenPu2E4A+o+YxeoF4+j113byl+mg0SmYEVFaFUdnS7WIlrS0id/n/JNx7dROhg4dyvVr1zAyMqJipUosXbKExo0ba3QEakqpml602bPHD+jq1YAcufJw+OwdXZeaLv92lPTsyePYuvcQJ06cwNLSkspVqtC0fm2Onb0IwKpVq3BwcKBdu3bMmzyGrl4tEYlERERGsWDVBg6dOkdQiPQ+li1ZjOF9e7B0/RaKFMhPUnISOw8eo3bVSvRo35raVSsR+fktz999olzRgjjaqTuqVaOkQf+03SCNslIUNNITpbV9trL2mp4HVdITpmXojGbSVTNZNZKatGgnRYeyorNZq60KYrSuCGojZxeN51W0SSKR8Pi9L3+u2MGt528BKJg7O68/fpY3q1atGsuWLsXaWnPddtl9Noj4yshRk9h88wmDKhVnQu2y3PcLpvHmE/T0rMHiqaN1XpcMbZFkYrGYqSu3suXYeU6cPEnFihX16k9AQBcSiYSJEyeyYvlytiydS6VypTPcR1x8At6Pn5InR3ayurn+sJiib+mG208/0allXQAMjYwoXb4GEZFRzN10W0kUVMxSoirqZiSVt6aoVU3jfEbHeIlEQoOqxfBs5sXwMVMYM7Q3/l8DWb5NOoZlVJAODRerLYYDmD24Eh9e3mb+uhOUrVgrXbsg4+N5emK0plII2trI8PHxoXadOvTo3p3x48czddo0jh09io2NDb6fP1PBw4OtW7fStVs3YqKj2bNnD+bm0sUQJ0+eZOPGjTx89Eje36rNB9i7YyNIJOTOV4CTR/aRnJJKy44DaNi8M2LTbDx/eAULK1vyFZZmBVK995oy38iQtdW1+EEfwVkVxXahwbFyQTo8UPv4be+aNgbqI1B/jzid3mf+w8K0It/G8Zhn0oWuSuO9BlKCg4hJTGL+1ScsOCIt51K7eH4uP3uHlbkZUXHxAOxdt5SalSukex03Ll2m47TlONtacXBMT/K4OuLWazKRsfG8PrFVbdGuvoK0jMfPX9J54Ci82rVjyZIlQppPgZ/CkydPaNiwIc2bN2fZsmVaF1oKCAgICPxzJCYm0rNnT27fvs3p06fJnz9/Zpsk8B8gOTmZPn36cPnyZU6ePEmRIkUy2yQBAQGB/0tOnTpFu3btmDx5MiNGjMhsc9Lll/9F+OzZMxo2qE/9CqVYMGoARkbKEbn6Olvy5Mmj9HdG695+L4/uXgFg0Nj5pKZIq8mZmGpOl6Po4AP1lNwy0VkVRSehNkE6PRQdfpocwH5+ftjY2ODm5saBgwcBKKshRaWq40+xjp2i01CTw79YyTI0a92BS+dOytMW/y7ky52TpORkLCwsOLZnGwC3vB8C0LdvX6pUroylpSV1qlVi1NS5bN17mAv7tzJzySr2HztNp1ZNyZ0zO5YWFjSqUwMbayvq10yrDThl5BDsbNOeB6c8hamRRxpVk34VS+3I6qCmh2r0syqyzzY9Z7+2uoag/l1WFbJlf8tSXyo5k7VFSWtJoZ2cWzpRNtZwnJG9E2a80ClMJwSGpltnWk46qcRFIhGl8uXk4qJxRMXGY25qjIHIgB13XjBq3iqiYuO4du0aXTq258iW1VhZWqh9f2SR52I7N+auXUuR5UsYu2Y370MjyWEvFbL9QsL0sxf1WpwyDAwMmDqoO+4ujtSrW5ddu3fTpEkTjW0FBPQhJSWFfv36ceb0KY5tXU3BfHnSP0gDFuZmVK9Y/qfYpK8gDZAS+QUAQ0NDTl55RIMqxShZrhoSiURHuQzT74o2BnXxUJU0EVJz/V5tAnBychIhwUHkL1CY+Pg47t+7Tf2m0lIaiqmgf5RRs3YwoGVeggO+6H2MpvIF34viZ5uRzzlLlixYWFhgYmKCr68vJ44fp2ChQty5c4cKlWswsH8vjIyMmDJlCp6enhQrXpxt27bh4uzM4CFDqFSpEoNHTMDJ2ZXceQtQrGQZCpX1lPffttdEwuPNMDGVLro0BLIVkkYYhEVrtknXM6RpocOPLHpU61+LIJ0YKxVYTS3TshMo7g8PDFESqRVJqz8tSxFvrvYdUnx+ZfMSbQsjNS3Ok+2ToTVtty6+jedWxQprzbiiiJGzC3bAjI7ZmNq+IVFxCdhbWfDaL4gxW49x5tErANr3G8aueROo1bCx3G5N9bOr1KrJ+Tz5aT98EtXHL2N539ZEfrvvsf6+oCGTVEYoWbQwx7evpX2/YQQGBrBt23ZMTX/eO0Dg/4/Lly/TokULRo0axbhx436r33cCAgIC/yVMTU3Ztm0bY8aMoUqVKpw4cYLy5X/O7yeB/09iY2Px8vLC39+fmzdv4u7untkmCQgICPzf4unpycWLF2nUqBH+/v7Mmzfvl15k/kuL0rdu3aKRpyd/tGvKmF7t1X7E6iNI63I6/hPCtKrIV6ZCLc4c3U7F6g159PgFAJ9e3cXaraFSxJOqg0/VaSdrp280i6ogrSliSaP9WiJPnMxExMbGcmTHRqb9vZgGNauR394YNKRgljn4tAlbqkgkEsJ8H7N4xTpOHd1PpWq1fzylejoi6s9EIpGwcPVGTE1M6NihHT6f/WjduAEHTpwBoFvTOmQxSoDEBDYsmkOucjX47PeV95982XvkBEN6d2PEgF46z6EoSOtLRhzumpBFSysKGemJzhlJyZ0eqmK0It8d3WTvpPRcqj6jsn6NChTByjktxbcugVpbvWmQRkgZObukCdMq6T+R7f/m5LZRcOR3rVyMStuXUdarL8kpqTx9+Zp+w0axbukCrNFuj0gkovvgYeQqUICe4+di5i89X96sPy9FV7+2TXF1tKdd27asXrOGLl26/LS+Bf5/SEhIoF27trx99ZKT29fi5qrfmPFPo7rIRhc5c0pLTTRv0wknJ6n9b18+wto4GhMTzUKOTJgGHem9v43t6YnQ2hafKYrTDtZipfe5DEWBz9DQCFMzc27evM3pUyeJi43Go27X707ZrTrnMDeI5PblQ2xfPhYDQ0PKVqqjZsM/yY+Oh5s3byYuLo5z58+zbv16XFxcCAoMBMDA0IAiHg2IFBvQsGFDevXsyYaNG0lKTGTZ8uW4uLiweN1+jHXUMjc1MyeLGYTFSf/WFk2viuw+a9ovE6T1EaM1tdGUllt1m0xwlonRMhT/VhSoE2PjCfjwGVNLc/lcV1aKxtHZkrCwRAVxGmTPL2h/VhTFW8X5gkyY1iTs/rAwDWDvlOEfUYYGBthbSRemFszqwqGxPWk2bwvn7z9HLBbTafRMTtpYU6pydaX3kOI1JFg6kb2IE+c2Labr2Fl0W7oTYyNDDA0MyOGi/rtI12JAbeTM5s6xbWvoNHAEng0bcvTYMaysrDJ4tQICcPjwYTp37syyZcvo0aNHZpsjICAg8H+PgYEB8+bNw93dnTp16nDo0CHq1KmT2WYJ/IaEh4fj6emJhYUFV65cEcpyCAgICPwClCtXjps3b9KwYUOCgoLYtGnTL5ul6pdN33358mWaNW3K5AFd6OulHomnr4PlRx2RkH7tYrX2Ck7f1JQUoiLDCAr4zOrF03nz7B49Jj8kQSU6VZMgLYuU1uWUTi+VJ6g7hxUjTxwsEuWOPk0pmmWOu/iEROr0HMGzdx8pV6o4e9cuxcrSQq2domNPUfDT9HmJxWLWHjzLylWrCAgIkG8fNGgQw4cN+2kLBv5pcdoyPph5K9fz4MlznB0d6N6+Fdnd3Shes7G8zcGNK3jz4RMxsXHMWLQCC3Nz4uLjyZrFlfP7t5LVJEWpz4w6EGXoU/9UbZvCs6gpIk61Lqm2hQuKkc3aBOnvuS7Fvr7LcQxqaby1LZhQ6z9cuzAti5RWjJpWbKMaSS1P7flNmFaMsFJL8/2NZDsXuv41mzPX7xGfKP0cyhYtwO55E3F1cpCeU8c9fffoHh1GTsfnayB/dWrGX0P7aW37PVy++4iOY2Yyf8FC+vX7uX0L/LeJi4ujRYvmhAUFsmvVwu9aePNPo+/84WNwEgYGhhzev4Ol86bx59hpdO45QGt72Ts3LE4aMR0aLtYpIGqbA+iTDUVT2Q5QTo0sY+fWjaybNwgTU3NGztpD2aqNdaaMTk+odrAW8+XTKzYuGMpT70uIxanyfecfReNgkbE8H/qO5aoi5M+YB967d4+t27YRGRkpTUHbrBkDBw3i2rVrAIwfN44sWbIQGxfHrFmziIqKwtLSktjYWMZNm0+b9t3U+tSUpUTTIgBtgrQmdKXo1qf2sybRWXGRpGqablUxWhOKorTqcYr77F2d5OI0SJ/v/DnS5qmqn7/i4kN9FsRpy8aiiM7yIKA1+4oSqm10HWPvxP03H6k6aJrS5k0zx9C4RSulbZoip5OSkpk0bSYbD53CzsaKD6d3qmWUgu+fU8bExtFtyBhSMODU6dOCs1EgQ+zevZtevXqxc+dOmjdvntnmCAgICAiosG3bNgYMGMDevXtp1KhRZpsj8BsRHBxMvXr1yJkzJ3v37hWy6ggICAj8YgQEBFCvXj0KFizIzp07MdERJJFZ/JKi9JkzZ2jdqhV//9mHLs3qq+3PiHPlZzgj4ceE6YT4ODw90mw2MDSm52RvJAbuOp2EmmrvKaKPIA26a0lrE6Q1OesCQ8J44/OFKqWLkWSdJurpEg133nnByt1HCI2IIjYuHmcXZwrlzYNEIuHVuw+8fPuekiVL8vjxY0CaAvX5s2cYGxurnf9HROp/SpjWFjH8x9jJ7D92WmmbkaEhlhbmSCRgamrC5JGDaVmxGNaWmtO5w89dfKFPTWlVh3h6CxhAd6puRTSl0tRVj1wV+bOlybmrIDQrPYNaHMGy9N3aziOPnFKpPS1DJkRnpPY0qNecVKtprUGYfhIaT83uw8iV1Y2XH3wAcHeyZ/u8iZQrWlDjeRWfm4SAT6zcdYSerTzJ8k3I/pncevQcrz+nMWXaNIYPH/7T+xf47xEdHU3jxo1ISYhjx4r5WFmmX0IgM8jI/GHCtLns2rpO/nerdl2ZMH0BoPy+jBTbahWl9anjKyMj5TlUa/VqQyKR8PjOOfIUKkOKofK7StuxoUF+bFw4jC8fXxIbE4GRsQlZcxTE3smN2Ah/Ht69gpOLO+FhwSTES69v6dYLVK1YQm/7Ffm3MqCkh/f9+7Rr105tu62tLampqcTExNChax9atu1CvgKFdfalaWHYj9Qdh4yJ0aroqg+tjwitiiZRWhuKwrRMlM5tLy09oSlVt6b5hKY5qWx+oI8wrXgcoLSITFvdaOWL0DFv0zAnkdg50nbKUq48eUNScgqJSUkADOndlb+G9MfQME1k1iRMAxw7exGDuAha16uu8bTfK0oDxCck0OvP8YRFx3L27DkcHX/O7yqB/zabNm1i8ODBHDhwgAYNGmS2OQICAgICWti3bx/du3dn69attG7dOrPNEfgN8Pf3p27dupQoUYJt27Zp9N0KCAgICGQ+oaGh1K9fnyxZsnDgwAHMzMwy2yQlfjlR+vz587Ro3pylfw3Eq0FNjW0y6lzJ7Gjp2JgomlTKorTfzjk3nUZfJCExLR2eJsehal1pSN9BrS1Vty5BWpczT0Z66bhl7SUSCWfvPWX5obOcv/8cgKwuTvgFSfu2trKkcIF85MzmTq6CxViwYAFicZrDu1TJkowePZoKFSpoPVdGP49/wpGtTYwFGDtjHht37ad3Jy/y5szJX7PmA1LR3czUlIWjB9ChUW15+/RSnut65vV9vlXvmb5RWpqi63RF1+tC1VZdiyBUSU+UBpU0nLoilRREbMXIbm2CtqIoLROiNUVHq5KeKK3XdQDrj19i8NKteBTOw92XH+TbR7VvzLSebfROlf9Pcf/FG1oOmcTU6TMYMmRIptoi8GsTFxdHw4YNEKUksXXZPCzMf61JkYyMzhsWLlrEihUrlLZNm7ucJi3bpStKv30vFfpURWnFsT4jIrQq+pbv0IYmQTo08AvXjq9k29q5Go/JnrsAOXMXJG/B4ty6coo3Lx4q7e/eZzAD/xyvJLhlhMwWp2WidCNPT9zd3fn85Qtnzpwha9as+Pn5UbFKTRav2Y6JianGCF9VMipMa0rvrvr86CtGaxKhv0d81oYuUVpTfWnZvDd/QQe5KK0tIlpxbiQTbK39Xui0R9PYrwnFuUS6orQuIVoPwqJiKNNvEnnz5ObmvQdK+15eP4OjvR2QfgmVf4qkpGT6jZ6If0g4Fy9ews7O7l89v8DvxdatWxk4cCDHjh2jZs2amW2OgICAgEA6HDt2jPbt2wuZLQTSJSgoiBo1auDh4cHGjRu/+7ecgICAgMC/Q0REBJ6enjg6OnLw4MFfKmL6lxKlr127RiNPTxaM6q8k2CnyPav9f1SU/p4IXVXB75N/NIO9ChMTFSbfVqJqdxp2WZluLT9taby1CdEyB7K2aFdALRWidWKoZmFOBW01eGUkJiXTYfoKTt15rHZs+VLFuffoKYaGhjy6cJQ9528xY8YM6teoyup50zh26ykrV67k9evXALx/906rHYro8/n8bAe2Pg7Bv1esY/32vUTFxMhF93kj+9OhUR1srJSjo7Xdc9X7ren5/9lR0prQlOpVU9S0Ior3SNFG1ZSbqk5hnSm6VSKXlRzEqk5hLVHSKQp1nJWiq2XtVQRsTem7VcVmfYRpnYK0gu2Kn7nsXqSmivHoPwlbKwsevfMhPjFJ3ub9roW4O9qrHftvc+/ZK1oOmcy8BQvo27dvptkh8OuSkJBAkyaNiY0MZ/fqxXJBWp932L8pwnzvnGHa9Ols2bJFadv1hx9xs5amrZa9h3Wl75aN62FhifL/11dUTi/Ns6O99Fz69qdJjHawSOTezfOM7tdMbZ9b1uwE+H9BIpHQd9AomrXuQKeWdUhMSGD9zmNYWlqxYtFMzp8+BsDuI5coULiYXrZoIrOF6ddv3jB0yBDevX+PbCrdp08fajfuQMEixfWyT/WZgPRFadAcMf090dH/pCCtTYzWJUTLUIyUdrBIJIe5P6B7IZtsfqQkSutIm63vQktZP/K5g4a+dKFvzerVF7z58++V1K9RlTOXr8m3D+rZhUkjBgHpZ5r5J0lKSqbHsLFEJSRx7tx5rK2t/9XzC/we7N27lx49enD06FGhRqmAgIDAb8ShQ4fo3LkzBw4coGHDhpltjsAvSFhYGDVr1qRo0aJs375dEKQFBAQEfhMiIiKoU6cOuXLlYs+ePb9MjekfC5/5iXh7e9OkcWNmDe2pVZD+XdAUgZrL3Zoug2YrbctdqBwgdb6p/pM56DIiSDtYi5UF6G9/O1gkyv9BmpgoQ9GxlZ7jzDgiSOmfIn4h4dg16SsXpAe3qs+dVVNxsLXBysKcuRNH8+Xhdd7fuUhiUhIzZswAwLNODQ6cOEPePHkoX66czvP/Tty4e5+IqChKFilEt3atOLhxBf3aNlUTpDOCPhHFahHRei6qUBWeVZ8btfMkWkr/aek/2tRR/k9mh7YakHrxzSmsGLWsmlZbCQ2OYln7lGCpCC1/jhVrPKdXL1IDZq6Oav+02qT6TwXZ90rx+2VoaEC3htW4+/I9c/umpYzdOq6/XJDObMoXK8TeBRMZ8edwdu7cmdnmCPxiJCcn4+XlRWRoCGvWbyLVLqvS+0EXv4MgDTB61CicndK+047OLphbKI/dmuYHIB3TFcd1RUFaPparjPEZRd/axNrOY2+ewPqlk+WCdP7CJZm2eBftug8DoEmLdtx/HcQV73f0GzyKkQO7ERkRTrmKVXn57DG+n97TpGV7eX/+fp+/+1p+BT59/Mjbd++ws7PDs1kbevQbypo1a/QWpBWxNY1Vm5vp4kci52VoS9NtammeoZTb2vrQhEyQtnOxUfonQzYHVr0+XfMY2Thu7fcibY4UHqK2uEzxn2z814WSaG3vhFGBIvL/1zR2J9u5aPyna5/iv67N6yMSiShbshhm3+ry1a5aiaF9pPXIVd9NP6s8kb6YmBizYdEsTA2gadOmJCRkrCa8wH+fEydO0KNHD/bt2ycI0gICAgK/GS1btmTDhg20adOGK1euZLY5Ar8Y0dHRNGjQgHz58rF161ZBkBYQEBD4jbCzs+Ps2bO8efOGHj16KGUrzkx+CWn87du3NPJsyNie7ejeQveqPNV0fb8a2hzOAMFffTExNSMpUerIKV2tE2YWpkoRUSCNgFEUoTWl65bv01ArUpuImBGHZ0bZc+k23WevAcDJ2pJHm+bgaGPFi09+hEVGsWXZ3xQtmB+RSMTuvccxN0u73uGTZn77v7Q0oNmzZ9d5vh+pL/0z0CdaZWif7hiIRNy6/wh7O1sqlCkFSRH/in3a7k9kRDihIcE4Zi+dti08hNfPH7Bt7VyePbxFU69e/DlpmV7neff6CWcOrCZHrrw4WxvSrFkztRoFirZkWJDWkkJbEa3RS+mIyynBQfIXoKJYrdqX7G8rLfWgFdsoopqUWH4+banGFZzcmtKIh0bF4O5kT5+mtTn39B3HLt+i66zVPP3wmak9WiMSieT1sDOLyqWLsW32X3Tq3RsnJyfq16+fabYI/DpIJBL69u3Lu3fv2LVzJ1ZWVukf9I1/OxrwR4iJiSE0LAwTExOSkpLo1W8YIpFIKWU3qI7FpmhaH6grotnBWqwWRasPuiKkdYndDhaJxMVGU7uEq3zbzGX7qFyzMbamsRzdtYIy5SvRve9gAIKDAtm7YyNZ3LLx6sVTrl8+x/XL59T6FYlEGb4GGZkdJQ1QqVIl2rVrx7lz57h24RTLNuxFJBL9NNsy8jnLoqTFqSlEhrzD0i4bJqZW8m0RwW9492gfT68vx8DQlAZdz2Pv6q6zz/DAEFJT4vnybj/x0UGYW+XAyrYgVrb5dR6nKEirRkWrCtCacHAwVXhWdf9YUhWWlbKefEPT3EE2Hssq4GkbN9W2K/79bQxXbKPp94m2xYSq6cMjo2MRi8Xkz5OLEzvWUadNVy5ev0X1Fh3YtXsv2bOri9D/Vjpv+ZzXFFasWU/Xbt3o2LEj+/btE5ySAgDcvHmTdu3asXnzZho1apTZ5ggICAgIfAft27cnJiaG5s2bc/XqVUqUKJHZJgn8AiQlJdGqVSvs7OzYtWuXUENaQEBA4DfE0dGRc+fOUaVKFUaNGsWCBQsy26TMF6UDAgJoUK8eHRrWZFCnlv/IOawTQ787oiAj4qcuQToxIZ7zRzdQvWFnLO1z4Jq7GmYWUueczAEni2KSCdSqQvX3okmM/u5oVS0cuXgLgJHNazG1fUMMUhMAK+ISpXZ3GzwagOKFC/L05WsqlStN4LPbhBvaEh8fT6XKlZWiLoYPG6bxPJktRmeE2lUrUrtqRa7cukvH/sOZOn8p84d0/UfPqev+fHz/ljaNqiCRSKjbsCmV67QlIT6WRdOHkJyclg7a1NpNnj5U2wKHpMQERvVtypMHN3BycSUiLJSUlBT8QmLp2X+YklP+ux30egjSivvlL7N0Ummq1oQG/VNrK2KkoU41IN+mLc2nogM72c4F4/AQpeO0nddSkkJETCwpqamsnDScW49fEBIeybzdJxCJREzt0Vr7NfyL1KlYhiV/DaRN69ZcuHiR8uXLZ7ZJApnMuHHjOH/+PHv37MHGxib9AzKRH5kv7NixA2NjY+Ys2cDbV89o07GHfF6gcRz+ts3BQnPK5oyk2tYndbcq6UVdK77/37x4JP//Pefe4JIlm9z+r36f8fviQ5WSOZWOv/PcHwMDAyzFoWzatIl58+fL95UqWZKqNevpPL82fgVBGsDGxoZZM2cy7q+/6NW7N6MGdaNB9Sda22t6tmwNInWO24rCtOI8Uduc8Mbh/rx5eARbx2yUqNqLvCUacWRtd8IDX8rbiFMTsXd1JDFO9/VFBJ/n8dXpiMUpGJvYkpQQiomZE2Vr78LAQLMzSh9BWpMYrZr9R/ZsOlgkKn13ZHWjZYKuvqmxdaEqKqsufpUJx5q2RWctotSXYmYYfZ5TxT5TU00xNDTEPzqZ6qUqM3DgQFasWMHXwGBq1qrF61evtKbZkt2XfwLVZ9bCwoJ1a9fSvkMHBg4cyKpVq35ogYnA78+LFy9o0qQJ8+bNw8vLK7PNERAQEBD4AXr37k1gYCANGzbk5s2b5MqVK7NNEshExGIx3bt3Jzw8nEuXLmFq+uPZmgQEBAQEMocsWbJw5swZqlSpgpubGyNHjsxUezJVlI6JiaGxpyceRfMxbVD3zDRFjYyKn7oEaYAje9YSFRFMiy6jMLUrIHcspjnfxOjOpp5WZ1L2XyXROtpAo4NZV91fRQeWzMGmFr2piIropiia7Zw+XL5dLBZzyz+cz4/e8+DtR6Uunr6U1ouOio5BJBLhII4i2saR58+eAeDn50dUVBSFCxdWs/d3EqQVqVHJg2H9ejB/5XomjxyCdQaipcVBfgxZu5+tR89SvlQJdqxcgJ2O9toc3BKJhHmzp2FuYUGlqrU4f/oY508fI2/B4iQnJ2Fj60BUZBgWVra07T1JflxYnKmaMP3u1WMmDGlLUMAXpv29gtr1GnHy6H5mTR7FlYtn6Nl/mN7XB+rRQvpi5OyiMZW3EeoitqJArJZaW7W2tAq6Io+V3PKaBOp0+jKOCFKrYa2xP0CECIlYWrfU1sqSQ0unU63LEOlOc6tMjZBWpV3DWgSHRtC4kSe379wlT548mW2SQCaxYsUK1q5Zw549e3B1dU3/gEzmewXpsLAwNm3eTKeOHalRuwE1ajcAwNYoVmkRmJooaZ72zpYJ06AiQGoY32V/KwqWoFmcVhWktYnRmhYhyeYQNaqW4cGbYPn2r/6vefTyGcHBgSQmaq5B/OHxZTw8PABT+vfvT//+/UlMTOTp06cUKVIEC+MYQP+x/VcRo1WxsrJixfLlVKtWjd27d9O8mXK97fTEwisXz/DX8L4kxMcxa8UBCpZrobRfmzCtiiT+Hm8eHqFI6eq8eHiVa0em8uLODsID3ym1a9Z3O9ly55JHV6vWn5ZIJNw7+ydf3p4ge4F6FKk4joTYIJ7d+JsQ/7ukikMwMHBTO7+ulN+KEdKy82qNlP5WdkZ1/qrtPiqOfZrGVPn4r20hGcrisGq0s6boZ9k21e+z4rMs/38F352uZyHWTNqX5NvfQ4cMYf/+/QQGBuLg4EB8fLzOOs7/pDCtir29PZs2bsSrbVuyZ8/O+PHj/5XzCvx6fP36FU9PTwYNGsSAAQMy2xwBAQEBgZ/AuHHj+Pr1q1yYdnBwyGyTBDKJsWPHcvfuXW7cuKFzHiogICAg8HuQL18+Tp06Rc2aNcmaNSsdOnTINFsyTZROSUmhXdu2WBnDivGDMTD458pbZ9TJ/LMFad8Pr9m4fBr1W/bD1K4AAPlzyPbql8dd5oh0cFBP9w0oRZWAclSWqiNXkxgtQ6sgLdumKwrV3omo2Hh6zFnDyW91pTXhWacGk/4cpHFf1qxZyZo1q9r2HxWk9Y1a+R70cQTaWFlibmaKsbERJKnvVxRFw6JiMDE2wsrcjDcxqWw9ehaAe4+eUKVpOx6eP4qJSZocqip0yK5T8Z6NHj6Y21dPM2TcQtq1a81D7zuEhQbz4Y10MUBUZBgADs7u+Pu8JnuetOgf1ajplfPGkpAQz6KNZ6hYvghD+nTk7q2rADg56SeMqqY/lzl4lSKfFBzIOiOZVZAJ0rKIaAACQ9XEaCNnF/nznGDpJLXJoaBSG9nnqvg9+dGoLI1oE6YVOP/kDdWL5MHI0BAigihZMC+eVT04df0uO09coHThfDSs6kFIeCSuTpn/w3FQp5b4BgbTqGFDbt6+LfyY/T/kxIkTjBk9mo2bNn33wgRt4/evlNZbIpEwfsIEjIyM6Nevn84xV6PdpsiFK1nUdFi0gZKYLBMl9RWn00NbFgxFNEV3SyQSvO/coF9X5cw2dvaORIRLr83Ozo5x48ZpzJJgampKuXLl9LJRbscvKkYrYmdnR3JKipKzRtNnbZ0YSoSRHcHBwWTJkgWAPdvWkxAvDVseN7A1E//eQm1PL6VFCjI0CdKhwbHERTxi1/xGuGXPz7RVF9m9dgr7N84gNOCdWntX2wjy5jYlf15zQsPFvEVZmA74dInPr49Stu44ilXuR7DfQy7va5N2rc7OpCSZkxibthjB1NJcqV60Yn+KgrSq3SAVp1XntbamsRnO6KNz/iorm5FbObL5e8sBKb6XVOenqtkR9Jl/Rps6cvvqOVJTU6lSuTIAhoaG7Nq5k9p16hAWFsay5cvp27cvpiYmGBkZYW6uvghAn9IyPwt3d3fWrV1Lh44dyZMnT6b+mBXIHGJiYmjSpAk1a9Zk6tSpmW2OgICAgMBPQiQSsWTJElq1akWrVq04c+aMECH7f8iqVavYuHEjt27d+i0WlwsICAgI6EeZMmXYu3cvrVu3Jlu2bFSrVi1T7Mg0UXrYsKF8ePOSs2vnYvIL1aT4Wem6ZaQkJzPzr544uuagSfd5gLqADN8iUlWczaq1BPPn4JujWtkRpak/UHbk6hKiM4Sis++bSC2RSDhy4z6Hrnlz7OZDUlJT1Q6rVqEcjerUpH6tqmR3V4+w0cbvEh0dbepIxMdnPH7+iry5cmBsZISrsyPW32qn+gcG4Whvr7OPlJRUVp+5zfglGzA3NaF3m8b0b9cMQ0MD8ufOhaWlBfcfP6Nd3yEc2rwqQ/Zdv3gUcwsrOnZsi4mJKccv3adG2XwkJyfRuHV3KtdszI1LJzh5cDPDOhSnWoMOdB6xXWWxiPSHiImFA5HhIWTNkYfQkGC5IH380gPc3LMBGVsEoOhEVUzNCWBmp/lZ1VQ3Mj0SVIRpxZTf1rzAzM5FzUH9r0Ue6XCiEx5CVFwCN19/ZH635vLdxhFBTBnYnVPX7/IlMJgOo2bI900Z2I0/u7X9p61Ol9lDe9Fp7GxatWjB2fPnMTExyWyTBP4lHj58SPv27Zk9ezblypbNbHP04nujpA8cOMDZs2fZuHgOTk7S762+Y67iO8fWNFZpXqFaUzjddNsaahDLtmmbJ8jOmx6+Ph84f2QbJ06c4OPHj2r7zUyM6NmjB7Vr16ZcuXI/rdbYryRIp6SkcPnyZezs7XGwt8fMzAw3NzdEIhFBQUFIJBKcnZ119vHy7Xv+GDeD5y9eUMHDg2nTpmHv6IS1jS0ly3hw/fI5po/uRoVqDXCwkoq5svmhbKGCTJiWiboAKdHShYDTFm7F0TKJgcPHkRofwqFdq8mZpxDtug/DyiyVOVPHsG7eIPZvmMz8dafIn6MsjvZOhIY78PZ1GBFBUVjYSBcGmlk64ZrVmeuH1wKQrUBd6nfZSWRwtPy84YHSZ1s1Vbc2ZNHRynWjpahGSIP0e6TPnFVVkFYr+REchJGzQrkMHQss9RGqdaX5T+/7pO24y1eukDt3bnLkkK9aJWfOnFSoUIE7d+6wbds2tm7dSnJyMq6urpw5fTrTI6eLFCnC0iVL6N27d6b+mBX490lNTaVDhw7Y2tqybt06IYW7gICAwH8MQ0NDdu7cSc2aNenduzdbt24V3vX/R5w6dYpRo0Zx5swZ8ufPn9nmCAgICAj8ZBo2bMiiRYto0aIFt27dokCBAv+6DSKJRCJJv9nPZcWKFUydNJGLGxeQ0z1jK64yGtWQESfzzxakxWIxcyb05dKpfcxcdw2H7BV0OoZlKNaWVHXSyc6rGkGj2J+mlIffFemph+gntnVg8JKtbDx1heJ5suNVw4O2rZtRtcsQQsIjqV62BDMm/UWhfJqj5HR9Pj9bkP4nndvr169nwYIFJCUnK203MTYmJTVVWoulXWv+njRa/lmcunaXjQdP8uztR3K6u5KQlMyDF29oUacKoRHRXLv/hAsbF/DQJ5iJcxdRu2olnB0d2bznAFU9yjJtzDCKFSqg8R4q3rsbd54yuEttJkxfSKt2XeTbExMT8A9JxsEpi3zb549vmDisPT4fXlGqQn06DphB3sJllYSOYP8PzBlakVr1WzJswmLuXNjBX8P70qljR9r3HoF71uyA5vut+pkqtlEUsjVFKCuiKkqnfHM4a0JT5LRMnFZM66laV1LX+TXaA2qp7dNLqa0rVX50XDyDl2zFI6crwVExzDl4gWdLxpA3i5O8/5O3H9F60hLyZHdn/bSR7Dl0nDVHLyISiTi9Zi6VShXVy/5/ktj4BBoNGEfpCpVZv2GD8GP2/4CvX79Svnx5OrRv/9PTef5bdVP15fnN87TtM5SWjeqxZMZEIGMLv+RZGkh7P0YmWmqMkv1RvleQfnT/DkN6t8PA0JA6derQsmVLHj96xIKFC7GxsWHM6NG0bt36u4To9Mb5X0WUfvPmDUOHDePNmzdK201MTEhOTsbAwAArKytev35NbIw0LXmC/1sWrNrA1dv3MDQwIHfO7Fy4ehN7BweaNG7Mzl27qVnXk0EjJjBmUBfevHnLjPkrGTusD45OznTtNYj2XfsQm5qW3j0sWipKK9aUlkgk7F1YHZE4nk2HvJXsCw70I6ebpfyzSUlJYcWiWWxdvxxzC0uGjZlCrSZ9+BQmFcBDw8WEhiZwZvtAnt3czpSt4cTHhLNtXmviYkKp234JOQvVIiw0LUpaNf23DNUIaUdnS7kYrUmA1pRhQNfcVS1tN2gXpb+hNE9QEaY1zQF0ofq91YamiG/Zsfv37+fO3bs0atSIsWPH4unpyZTJk9NsSk6mSNGiiMVi5i3bSHBQIGdPHOLRg7s0btyYpUuWpGvnj7wz9X0v7ty1i8WLF3Pv3j1y58793ecT+H0YOXIkx48f5/bt29jZ2WW2OQICAgIC/xABAQF4eHjQv39/xo0bl9nmCPwLPH/+nMqVK7N27VratWuX2eYICAgICPyDjBkzhsOHD3P79m3s0wmm/Nn866L0+fPnad6sGUeWTaNCiSLpH6DCPyVK6yuA6iNGyzh3fDez/urJ8Ok7KFKpo16CtAzFlMk5zP3VbFV1WmsTpRWdehlOO6yHKH3o2Sc6Tl/BksFd6Nu0ttyp9zU4lC+BwRTzqKJRhPo3xWj4Zx3bYrGYsuXKERUVxbWrV4n0fU1qaio+cXUcAgABAABJREFUX/yJiY3FyMgIE2MjWjaqj7mZmfy4Cp6tCYuIpEubFnz5+pWgkDBG9O/FkTPn2br3EHa2NuTM5s6u1Yu5cvMuA8ZMYsKwP3BxdmL5lt28ffsWz4YNmTRpklJ0lqKwAbB09giuXzjKycv3MTQ0lLeTSCS8840gOTkJWztHrKzT7vuJA5vYtHI24SH+jFt4jNKVGgJp0fub5/fi4bX9LNxwAo8yhdi1di5Lli4FpGl+ypYpoxbBo+1zVa2DrddzqynaSXGbyrObEhyknM4bqTCtS5ROT1hStEupFrsK2oRptfYK9ienpODQtD8SiYRUsfS9MbxpDWZ1bpJ2jcDi/af5a+0eKpcqyp2nL/Gq4cHui7epUqwAiycOp2DuHPwK+AeFULPHCEaN/Ys///wzs80R+AdJSEigRo0aZM2alXl///1TFyH8E4L094rRII0Uq1y5IoXy5mHXmsXYJkvFOV3imSqKcxpFkUvbArTvQdP8AKRjhC5R2tYgErFYjEeFChgZGXHh/HksLaV2JScn8/TpU3LlykVOy7Rp5M+cc/0qgjTAygWzWbBqAztXLcTN1YXomBiiY2L56PsFU1MTUlJSKVm5Fp6NGhH84i4AK/acYOq0aXTo0AEzSRJv3n+kSKmyeDZsSKvWrXF0dCQyMpJFCxdSu3Zt6tarh4ODA2NGj+bEyZPs3buX7NmzM3jUVOo0aCKf98mEaRmhAe+ZN7gAk+dvp2aDVkp2GyT6ExUZgYGhIVncsiISibA1iOTNmzfM/ftvrl69SpUadRk255T8mLBoA54+fMjS0WWpVH8AzXotJeTrW7bMaUbI17dUqNeXak3/xMA0bXxRjNrWVCtalprb0d6AfK7xeqXnVpsDaFi8pYbKYjVF1Bau/YAorauWtK70/Yos232c6dOnY2ZmRkJCArlz52bzpk1ky5ZN3iYpKYkiRYtSqmRJXrx8SYkSJfD97Ic4NZnevXrRu3dvnXbqY4c2MvpunDZtGt7373Pr1i2h5uB/nE2bNjFixAju3LkjRE8JCAgI/B/w6NEjqlWrxtatW2nZsmX6Bwj8toSEhODh4UGXLl2E0hwCAgIC/wekpqbSsmVL4uPjOXXqFEZG/15S7X9VlH7//j3ly5Vl9tBedGxcJ8PHZ6Ygra8YrRjRPPnPjvh//sDcLQ/l+7UJ0poioWVRJIqOu2hTR71E6QwL0hlMhRwRG8/7gBC6Lt/NB/8gyuTPxeUdK5TaaPu8tH0uGVkYoE90lyL/tHO7W7dumFtYsGPxjPQbA1/8AyhTrzmjBvZh1B/KTsV8FesQFR3DoJ5d2H3kOBZmZiyfPYWL12+xeO1mAAYPGoRrliwsWLAAKysrzpw+TYJxmkNV8Xndu3s7q2b2ZfLsJXg2bY2xsQl7tq1n07oVBAf6AWBqZk7D5l1o3Xkg2XNJHUypKSl0bloaV/fcTFp2BkDuDE+Mj2bH3w356vuaVZv3UalELj58+EC9+vUBqFChAps3bdKYrllbtHR6kdIaHdMyAVrVOa3DMS1Dm4M6WSGNt85IbRXSi4pO73hF9l+5S5eZqxjRrhHdGlQjKTSEojmyKNkJ8PFrEB79J5OQlExKaioikQhDAwP8DyzDzD2n3vb8G9x/8YYmf4zj4KHD1P/2nAj8t5BIJPyPvbMOi6KL4vC7dEqL2ImKYisWdnf3Zzd2d3d3d3dhK3ZhB6JitygpIr37/bHuuiy7yy4hxrzPw6PM3HvnzMyducP93XNO+/btefjwIVu3bEnR3GO/myBtGRXItVt3aNC+Jwc2LKeKS1a1ERMUUfeeUBan1QnTOoXzViNGK6JuPI2JieHTx3c8vXOeIUOHAnDn9m3SpYvv/arqviR2XXVZePY7CNOWUYGcOn+Jtr0H8/DQerJkUC9eOriU4ovvdSQSCZ0HjODSjTvcvnUrXpmly5Yxb948bGxsqODuzsFDh+jTpw/u5cvTv39/Pvn7Y2dnx5rVq1m4aBHnzp1j1qK1VKvVIJ4wLePDh6/M7e+Mc76CDJu0nFxZrXn5/CnTJo7h7o3ziH8sbHItUoL2XTyoV9VNPjZv2LiRyZMns+HgbbLlzBcvUs/RXSvYv6oX5er0o8PABQBM6lmUd8+locJHLLqKtVMplddMVW5zmXc0qP5OVSbeOKkpxYUyupT9gfJzqcv3q6p0JYm9ryQSCY4FSwNw6+ZNnj17houLC2ZmZgnKDhg4kJMnTxIV9fN5HjpkCD179tR4DHVo+y7V9f0YGxtL127dsLa25sCBA0rpXwT+Fq5evUq1atXw9PSkSpUqaW2OgICAgMAv4sCBA/z3339cuXIFV1fXtDZHIBWIjY2levXq2Nvbs3PnTuFbTkBAQOAfISwsjHLlylGlShUWLFjwy477y+Tv79+/07RxY1rVrqSzIK2rGA0pJ0jr4hmtOLH76uFZLpw6QM+RK+TbdAmdqRzWEFArSMNPEVsrtBSgZWKeonh3+8U7yo1MGC6wbePaWrWZVEFal/ugyK+a0LZ3cODx48eJlvvo/5l2HkN4+OQpWTI60axerXj733/0JyYmFoB8eXJyYsd6ug4cRYP2PciaJQsDBgxgwYIFLF6yhPr169O6dWuWLVvGxzA9bGx/ej/v3zadj+9fkSlLThwySPNDThzZn4kj+2NiakZkxHdqN25P4XJNMDG14NXDc+zfvoKDO1eRLWc+xOI4oqMi8f/4lhLl6yU4D2NTSzymHGPFuBp4dG7O4tU7KFvkZ4h2b29venfrzM5VP/uK7N6ruyeK2zXmQlSeXFYhSOvqISUjRkVeaXXllD2lVaHYlmziXT/oE8t2HOJdYAhjW9TE1MgwgT3GhtJXc+UiLuTJnAEyZ0AVOZzSs2ZoV7rPWcvX7xFkcbBlyfhBqSZIqzofbSnu4szcob1o3aolt27fIXv27ClsnUBas2zZMk6ePMnBAwd+e0E6OVhGBRIbG8ukeUvJnycXlfJlTrxSIiR4noylP6FR5tiaRcUTIn96yaoWqLX+FiDhN0hMTAy1KxQmKPBLgrIWFhby/yf1nvyJgjRAenvp+PXq/ad4orTsvim+G6fMX8rGXfsJ/RrGqJEjE7QZEhwMgLW1NXPmzCFnrlwsWrSIZcuW0apVK+7euYPvo0f0HzCAESNGcOnSJV4+ugm1GgCQzvAb5y8d4Oalw5hbWFOweCW+Bvtz86o/Lao7Y2BgiAQJmbPmpvvwZWTInAtJhD+Hdy1jaN9OTLSwJFuO3AR88ScsLBRrGzusbRPmwq7ToidicRwH1/TB3NyQxp2nUa9FL1ZMl4qhM/qVYczyW2TLU4zAYHE8IVrTgglZn9PUh+Kl6EhEUE6AhvLaLh4zCQ9I8C2gNoe0CkH60dPnLF23hS5tmlPUVXVUKD09Pdzd3bG2tqZEiRJqbZk8aRJvXr/m3v37AHh4ePDff/+pLZ8YsvPQdP2TsmDHwMCAhQsW0KhxY6ZPn87o0aOTbKPA74m/vz/NmjVj2rRpgiAtICAg8I/RqFEjBg0aRJMmTbh58yZWVikf3VAgbRk5ciQBAQEcPnxYEKQFBAQE/iEsLS05cOAAxYsXx83NjdatW/+S4/4SUVoikdCrRw9M9SVM6dtZp7ppJUjrKoIqT+yOH9GXPPmLUKVeJ63Ka9qf3HDWakMfqkFZ0FPM16soSOfKmJ4bKydjamyk1URfUgRpVfdBGy/pXz2ZLRGL0U/kw00ikTB88iwePHrC1JGDaFK3JnY21vHKBIWEEhEZCcD67Xto0aAOO/bs49y5c8yZM4cFCxbQt08fFi9Zgqenp7ye74O7lKtYjSVzp7B+1SK1NtRr1hmbDHnJlb8YriV+Tii5lqhMjZYjuHvtOLevHMPYxBx9A0Nyu5QgX6mWBIVJQ/DKxBBpTsh0zFx2gAblM9G+eU0WLlzIzBkzGD5iBAAZM6RHIpHIw/fKJkC1fT7DjO3iCTWKQrDKXJKQeB9XCtOt3IbhS18Mf5T5Yps3njiuLBqp8qzSJNTK9k/cuJ9Z2w8DEPA1nKnt6nL9li+lnbNhZ2lOjKU1R67eBZCH7tZEw/LF2Xn2Gvsv3iQ8MooR81ZxfNUsrC0tEq2rDerewUkRqNvUrcoNnyc0a9KES1euYKIQzl7gz+batWsMGzaMdWvXkj699lEDEuN3yyEtq7tr2wpu3n3AiVWzEv7RrquIpgPxwjYrvI+DwvTUCoG6RBYZ2rdTPEF62bJl1NQhskFyrqsiv5MgDSAWS4MK6Yk0j/OnTp1i8drNVChTkj4DhlCsWLEEZa5duwbAy5cvuX//Pn08PKhdqxZbtm5l8+bNuLq6Urx4cW7dukXv3r0BaW43C0kQ7/xf0aBayfjHPLA63u8dB8xDIhFTtUFnjE1+et4Wcm9N8NubXPQ6yKf3byhaujqmRmJa/dcVG1sTQhXWMsj6Ur1WHoQFPOHk7rn4XD/Mop0P5aI0gIGB1ONalidaE4qLLXW6v9qE7dayDZGfr/R7Vs23QErw7OVr6v/Xna9h3zhw7BS3Th3g5Zt3GBkaUqxQAQCu3LiNWCxGHBeXaHuWlpaMGj2ali1bksHRkWXLlpE/Xz5q19ZuMag6FJ9VVfmuk4KVlRVLFi+mVevWlCpViurVqyfLRoHfh9jYWFq1akWFChXo169fWpsjICAgIJAGjBs3juvXr9OhQwf27dsnCJd/EXv27GHVqlXcuHFDnq5JQEBAQODfIWfOnGzevJnWrVvj6upKwYIFU/2Yv0SU3rRpE8eOHuHS5oUYahmbPDXFaEhdQVoikRASHESdyo3QV3G+qiaItT2mKi9p5bYVQyKqEqS1Dmf8g2efg9l04jrrvLwBmNK1OQOb1ZJ/hGo7sScLP64LVsbh8mvzO4rRAB8+fOC0lxedWzVVuV8m2N159JTjZy+ycvZkGtdRPcnvnCu7/P/fI6UzxAYGBlSrVo0qVaowZMgQFi9ZEq9O5syZGdq3M8cv3ico6Od9nr98M0P7diI2NpaBYxdibJWNYmVqy/ukYvhPKebkKd6UPMV/nkdgsJigEAmgOsq/pZUNxdwqc9v7LPZZC+BoIS2XMUN6ZowZqjKfrLbhXi2jAuVCrrJX8hfbvDgEPcEw5DNedaartE2GaSZj7PJZY5XZBouM9nz7EEDou2ACH4cQ8V6zR2GBDvkQZZS+i2QlTRztkJSqJC+j+K76YptX7TlGR8ew3vM8s7YfZlT3tkxbtZXN52+y9cItxBIJhvr6dK7mRo3Cedl44iKtqpSmRkntQmONbteQo9fu4lakABdv3Wfaqq3MGtxDq7rq0OUdrE0ObhkzBnajVs8RDBs2lEWLFifVPIHfiJCQEFq0aMGA/v0pWbJk4hW04HfzjlYmOCQUYyMjyhQpoKFQ/NQCSRXBVOURliHzTpUJgspe0tqMmzHR0XidPMy6FQt45vcIKysrLpw/H88zWkZyvCu1XWD3uwnSAOu278Hc1IRShfJprDdx4kSKFSvG6vWb0dfXV1mmZKH8+D56BEiFHoBcuXIxftw4qlWrRs+ePfn+/bu8fPbs2blw4QJr1q6lUt028u1VatSlQdM2DOjRFqdM2WnjMYNc+UvgmDGHWvtsspSgY++f44py/0joZW9MsfJNOHNgMa4lKiMSiXAtWZUHN7wYNmsvroVcgIT9Ul1kIFV5pJXHD8XxPvbLZ67PPh5vrJaN6QBWmW0AsMiYcLxKbKw3zWRMzmo5sC8qHbcj/X8sQFMa42UofsOqCtkNcPv2baZNn46ttTX1qldm2z5PyjdoRejXMAByZM3MzlWLGDBuKgCLJw5L0IYqihcrRuXKlbn3I6fjqNGjKVOmDNbW1lrVT4yUWkwCUKBAAcaNHUvbtm158OABjo6OKda2QNoxefJk/P398fT0VPltLyAgICDw96Ovr8/WrVspWrQoixcvpn///mltkkAK8PLlS7p06cL69etxdnZOa3MEBAQEBNKIevXq0b9/f1q2bMnNmzcxNTVN1eOluij97Nkz+vbpw7rJQ3By0G7S408RpNVN9r57+4qvoSG4FE44Oa9JkJaJzbZmUfI8j4r5djXZpph/OkGOPi0EaUUMHNLLywUbm1F00mz5vvY1yzOoee14ExKGIZ+T5XFipReq8Z5o6+WVVhPZly9fJjw8nLZNG8TbrizSvfkovaZ2tjZq2zI2MsLezoaAwGAKu+SNt09PT4+pU6dy8NAhAAoWLMiWzZsJCgqiQYMGjB/Rl35DxnFwzzYyOGXCvXINuvcZwrIFM8iS3ZlsBeML4baWYhXCtG7ExsTw7PE9atdvSv4ChQEYO3YsU6ZMYejMpUydIs2xnVQhQ1U/NgSwzUukuT2BK1fGKx8nkaCvNFn27V0k39994p3IP9GyYonMG066/eFGaUh2iUSCWeafXr1lZ2n2tFJ1Tls3LmHcrAVkyeBAjxb1mbthF1HRMXSqXYE+TWrQb9EmVp64QpeqbliYGLPjzDVqlHClWbNGqi+OAs5F09OqTlXuPHpKwdw5ef72Q6J1VJGUd69y3cTEaWMjQ9ZMHEyFDgOoXbtOsr29BNIWiURCz549yZkzJ5076xYJRR2/uyBtGRXIXZ9HFC+sYeVgcMLICpHm9gm8EzU9L4l9jyh7p2qTQ1oZiURCw+ql+PTxvXzbgf37EwjSKR3qVx2/ehzXtq8dOX2WRlXLq1xYqfje9Pb2poK7u1pBGiCrcwFgHwCZMmWKt69smTLUrVuX3bt3A7Bu7Vrc3d2lC9IWL6ZSxYryFBzDxkwnNi4WAwMDsuZwpl596TdI0HfUoiwWJ9bHbM2ieOXrBUCbntLxfMDEzQztUIKF4/5j+YEXWNk4qA0Zr6kfKvZ9TQublAXliPdRvHsvHc/f4f9DpJaGRA98HKKyjrp2H258DBsfKwndAdgDVG6msb7yd+v38G+0bdeO6Ohopk6ZIo16s8+T0K9hHN6ymtCvX2nbezAHj5+iZBFXXr99z8hpc1kybRzYaU65IRKJGDp0KHXq1KFixYpcuHABf3//FBOlU5pmzZpx6fJlOnTowNGjRwVPqj+cS5cuMWfOHK5evapysZKAgICAwL+Dra0tW7dupWbNmlSuXJlChQqltUkCySA2NpZ27drRpk0bmjRpktbmCAgICAikMRMmTODMmTMMGTKEpUuXpuqxUnWWIDY2lrZtWtO2XlVqltPsPRVpbi//0YUwY7vfSpAGcMyQEWNjE5763pVvUzVhFxplnkCQTgrqJgPjhTVWg4FDevmPqu2K4bqzOtqxYlBnrVfIq5pgVDcBnJyJaCu90DT1rMqbT+o5NXPxSrVlYmJj2X3WG6t0lmTJ6KSxvTN7NuO1ZxOLpo4D4OSpU+TKnZtSbm4UdP3p4TRm9GgsLS3Jli0b8+bN47zXcd69eQnAp4/vOXpoD7Z20vsaHhaaoJ+oE6RtLcXyHzsbvXh5ImUEBksF7eAIkx8huvWIjpa23/i/ftRr3JIHD58k6hmn/OxaRgXGC/Ot/D6I/SLNM+kQ9ARA7uEEMDfuI43jnnJFHCbf9lUSR5u457xxEBMt+SnebIoLoFHcU46KQ+TbQiWxdIx7Qae4l4RKYuXbj4hDaBD3lJVv3ssnuj+euKBxIUao2CreD0DuwiUxNjICPQM2n/Zmav+uVCxRmHYtGpHN0Z6G5YoDUHnsUqa2rUMb92J0nrWaRas2aLyGMqJjYgkICcXGyoKwcA2qhAqS8u5NTlu5smRk1qDudOzQni9fEuauFfhz2Lp1K15eXsyaOTPZ3lOKz39qk5TjKL6bcmTLgt/zl0RE/nyvxnsn2NjLF64o5qqXnaM2x7cyDk/wbSB7J+fJ+uNdbRYl/5HV0WUh10Pv4/EE6UMHD5I1a9Z456zOVl2/v1SN07LxOy3GcV36QI6sWdh6+DT+AUFqy1y+fovY2FgKFS6ssa32//3Hpk2b8H34ECcnJ8RiMZWrVCF3njwULlJELkjXq1eP8uXLyxekZc6cmWnTpjFw+AQAWjWohFPGzBgYGoE4irgfXteK/UERbXONy/qQ7MfUIAYDQyM++EvHVms7R0bN8yQq8jvfvzz6uShSxY+8TS3ur2zskD9HNvZy7+XECHwcwjsvfyLeR2kUpL3F3/giiUmwPeJ9FO+8fi5cC7jzRK1IrvxdI/uWNzQyxrVICQwMDDh79izly5UjT+7czJ0wkuxZMlG9YnkApi5YjqmJCfMmjuLy9Vs06tibiPd+iZ6j5Ec6j5cvXgAQHZPwPH4XRCIRkydNwsfHh8WLhYgofzJfv36lXbt2TJ06VRAeBAQEBAQAKF++PEOGDKFNmzZE/kg9J/BnMm3aNIKDg5k7d25amyIgICAg8BtgYGDA1q1b2bJlC0eOHEnVY4kkEonquLwpwMyZM1m3ajmXNi7AxNgowf7kiiApJUbLyyiI0rrkYFRF09rlyJqrIP0m75ZvUzUhqDjhLJvYUwxXrehFrCyaK3pWK4dFVBW6W5WXtLqQ3TK6LdvBlvO3APiwdwk2lqqFe3UCnap7rOm+6ZI/OzUnsLUNMS2jcYO63Pd9QqdWTSmYz5m2TRugH+pPeEQkEomY9iOnc/HWA8YP6YtHp3Z8j4jk7fsPfA4IIiw8nO8REZy9fI24ODF5c+XA8+QZfB77UbxwQcpVqMwipUm9uXPn0qhhQ/nvEomEmrVqYWNjw82bNwGYPHsZFavWYmifTjx6eI/l2y9jYJULfX0Dvn0NxtTcEgMDQ4LC9Pj45jG26bPiaGek0aNFlZB969h0VswdhWU6K/oPHU/BwsVYuXg2Z08d4eqVKwnyy2rKXajqusv7cnCAvA8r5oS80XwEEe+jWBrnz1tJNPlFpnTQl/a7OImE6eIPfJHEMkE/EzYiqZfbiNi3+BDBYL0MVNZLB8BzSST9494AsFA/K7lEUs/ouXEfOSsJoyCmzDDIIjXKyZCqczoSk8Mlgfejqj4s66sv71xm6oLlnL18DWMjI8RiMTGxsejp6fHk8EZGLFjN3pMXAOjTuAYWpsbM2ObJrJ6t6dm5ncp7MmHpBrzvP+LK3YdM9OiIvY0VvScv4MKmhRTJl1tlnZQSoBNDkxeoRCLhv5EzMLFzYueuXb/EHoGU5ePHj7i4uDBj+vRk5Q5NK8/opHj4ykL47tu8mqETZ/L06GYc7W0TraccSUBTZAHZO0UWIUUWvls5RHdSv1MUx87o6Gjyu7gAMHHCBNq1+/me0SRG/w3o0u+8Ll6hdc+B1CxXEpdc2ejcpA5ZndLzKdYIkUjEqQuX6TNyItmzZ+fY0aPo6+sT/vYx7z99JvTrV6KiY7jr48vLN+/IljkTnwMCOXrmAmFhYUyfPp2RI0fGO17JkiVZvWoVlpaW8m3btm1jwsSJGBsb8/37d8zNLbh45yWHD+xiwoi+9Bk0muZtOhNr6EjE93BAgqmZ1Kvxa2gQ38O/kSebjc5eqwFf/GlWpzxfQ0OoUKsNNRr3QCQSMbp7Bdp1G8agoUOB+P1KNg6q+k6TXXdlT2lFFMf9J+sOxROMFTHNZKyVV7SMuXEfuS4JJwfG8vE8ViLBQGFBTeaqjlhltiFDDXfCClZI0N8Vx3jl7/LoqEgOb5/HikUzEYvFiEQieYj2JdPHY2ZqSu/h44mMisLQwIDNS+bQf+wUbKzScXTbWizMzRIcz8/Pj/4DBhAbG4tYLGbnzp3yBQtzZs/md8bb25tu3btz7949cuXKldbmCCSBXr164efnx6lTpwSPdwEBAQEBObGxsZQuXZoaNWowbdq0tDZHIAncv3+f0qVLc+nSJYoVK5bW5ggICAgI/EZs2LCB0aNH8/Dhw1SL0JZqovSTJ08oVrQIBxdPwa1Qfvn2lBJDtJ0U1Vbk1CVvsTZ0b9+YdDZOjJ21UaUXtGxSWVlYVrRH29zTsnLKobu1EaUVUSVQz9znxYSdxzk4dZDa/La6CNIykiNMJ1eMTq4Aosp2j+6dOX7mAhbmZnwL/06TujU5e+kqwaFfgR/5d5bNQ19fj1lLVnPj7v0EbeTPk4vYuDhevnlL5XKlOXX+MgAbFs7ExMSENbs9OX36NHp6ejz1S+hVs3v3bkb8mNiuVLU285ZvAiA4KIBGNUoT9jUU+/QZcXTKwsN73phbWtG042i+hgZwYNMsALLnKczcLbe1vhZBYXrYWMQR/PYGu9ZN59SxQ/J99vb2HDl8GHt77Z555Ylqxf5jEh6A4UvfeH3YwCE9MTlciPLci/f0S7yRRPFcEoWbyAIzkXTiTCKR8IEYvkhiKKL389n5JInhquQbNUXpMBP9DLN66YeXdXm9n0JAiCSWs5IwyogsyCAylG+vuKAhklKVdBKlLaMCEYvF7PY8zq17PuTKnoWxMxcAcG37UlxyZUcikWDlVg+AsGNrGLN2N0v3n+buvjVkdUr4rBVo0JG3n77g7laCXasXAZCrVGVGdG3DgPbNElzLtECdOO0fEETJVr1Zt2EjjRs3/sVWCSQHiURCo0aNQCJh/vz5yWorrcN16yKyykTp06dP06NnT54f34qDrbXOx9QUrliVKA2Ji9GqREFNZUA6oSSL9vH82TP5dl0XZv2JaNPvwoztsIwK5NwVb1p06weAmakJWTI6kd7ejoveN+Vl69aty6pVqxg1qC/7jpwg7Fv8+2RpYY5r/rzcuueDo4Md0XESPn36hLOzM+vWrmXr1q3s278ff39/Fi5cSL26dePV//79O1WqVpVHl7jm8w4jI2nfmD5hGLu3rUckElGpWh3OnT6KRCKheu2GlCxdni3rl/PmldTDdsOuYxQqUkLl+ar7vgoKCuL4iRPMmDGT8PBv8u2DRkyiXede8u9PxesW79yVrrXid6rsG1J5LHUIeiL/jn0yd10CYVpZkI6WiDES/RTNLonDyCYyIovo5zd4qCSWMyrGc+V2c1bLQYYa7nwoLh2X1D1PitGOFBeeBry5xb5dmylfshAeffoA0KVNc6aPHgLA8MmzWL9jLxOG9qOae1lqtOxE59bNGDdYWlbxOhw5coR+P3I27t2zhyJFijBz1iwOHTzIxYsXf3uhcPyECbx79w4vL6/f3laB+Jw9e5YGDRpw//59cuRQn6teQEBAQODf5MGDB7i5uXHx4kWKFy+e1uYI6EBsbCxubm7Url2bKT9S7gkICAgICMiQSCTUqVOHjBkzsnbt2lQ5RqqI0hKJhAoV3CmQMwuThw9M6ea1mhjVxeM2NRg71IPHvvdZvfcWwREm8fZpk3tPnSgt26dcJzFBGpImSm85f5Nuy3biv34y6TJlVlkvpUVpSHj/UsIrOiWFD+W8oBKJhNjYOAwM9HEsWFq+r1aVCrjkycXHz1+4fOM2b959wK1YYVo1qkeu7FlIb2+PuZkZQSEh5MudE5FIhFgsRk9Pjynzl7JozSa8j+0lR9bMhBnb8fr1ayIiIsj3Q0RQRCKRcPLUKQ4eOIC/vz9FSlXAKVMWChYuhoVlOvwePeTwgZ3c9L5C2cr1iIuN5cyxXRgYGGJobEpEuFRA3+sdl6RrYmsWRWzYS96+fomtnT0Fc9hpFc5X8b4oizSR5vZYvvclxjo9hiGfifXzjbffwNkFggPwars6STYnh8xVHck4bw6guj8r9mFFUVrGg0dPaNypN865crBz5QIsf+TpMwkPYPHWfYxeuJadc8dRNXdGnNsNpk39Gkwb0BWJRMKOY2c5d/0uj1++4emb99SuWpEFk8ZgaCj1BO/Qbxi37tzj6bEtiESiNBelNbHr0FGmLFjB4ydPsLJK2/e2gPbs2bOHHj16cPzYMezski5WprUgDUkTWx/4+NCoUSP2rF1CDdeUm6xXFKRB/XifGLqI0qXLlKFDhw70/SGegeaIFn8L2orSMiQSCXFxcRzZuYlB46UeIWVKFCVT9lw4ODhw2/sK93yfYGxkSI/mdSlcvCSZnDJgY5WO8O8RONjZYpXOUj7Gf4g2okjRojRt2pRZM2cCUs/1q1evUr58eZV5qT99+sSixYv59OkTYrGYclXqYWsuon69ely6dIlnz5+zatUqbGxsaNasGStXriQsLAw9PT1cXV25c+cOU+Ysp04D1fmSNXk2AwRgwavXr/EPA+e8LmSwiNX6WgLxo/jIkH2n/oh+ojheyRYFfBg0JJ4orauHtK5krupIrvqliajcjHeGOQHdU/xIJBKG927NmbNn2b5iPpXKusm/iT59/kKpWk0pWbQQe9cuYdLcJWzctY/7Z49gbmbKvfeh7Ny1i4cPH/L+/XvevHmDt7c39j/etdeuXaNtu3YqFy/ogmyRTWry7ds36tSty4QJE+jatWuqHksg5YiIiMDV1ZV+/frRr1+/tDZHQEBAQOA3ZeLEiezfv5+bN29iYGCQ1uYIaMns2bNZv349d+7cwdg46akkBQQEBAT+Xt6+fUuBAgXYv38/VatWTfH2U+WrYdOmTbx4/pxN81J2xVVKe0enJpWr1+HIwV28fvGYdE5FAO3z+YFmj23lfWoF6R8kJkarIiQ8gn3X7jNu+1HK5ctBOjMTleWSIkhrQ0qH5k5p4UNxIk82aWpoaEBQSChmpiZ8j5Dm1jl+5gLHz0jDMberX51Kg/pQr3rlBN4ijg4/+7ZsX73qVVi0ZhOv3r4jR1bpgoBs2bKptUkkElGzRg0KubpS3t2du/fuyfd5XXtM1Zr1qFqznnzb3n2HOXNsF7GxMcTGxtDsvz4c3bcJiURC8Lf4k+GysLHxtqnoz3b26bGzT6/1/VMWpBX7box1emmfDg7AMDgAbOzlIrRin47J4aLxGKaZpB/ZKT2B/c7Ln7zvfQnLpPr4iV2DPYePExUVzcwxQ+WCNEifnT5tGrPr+Dm2eJ7iWWEXgsLC+fBFeq1OXrlJjwlzKZIvFxZmUs/8wi75iIyK5OCJS3wL/87HT5+RiPSIsnBI1jnK+nhqCofN69dm58FjjB07lkWLFqXacQRSjrCwMPr378/IkSOTJUj/yRQsUIBMGRzZfegY1Qv2SnY+bWVkqTuU8/KmFBKJhOvXr7NmzRrCwsJwL18+3v6/VYhWRJv0EYqIRCJs4kLxeSyNVGJpYc7Vm3fg5h0AnHNmZ/r06dTIZU2WDD+9f5XR09OTfjcYQ8GCBQkI+LkYy8jIiIoVK6q1IUOGDEybOpUuXbty8eJFLl68CEjzDTdr1owqVarQvVs3AOLi4li8eDFisRixWEymTJm4c+cOsbEJcxGr61vK18Seb9hnk+UST6IgrSBCx0vLARjy8xtW8fsyU6k88UTp1BSkQTq+W2V+gl2pAEJNpVGClL2h1SF7Zv0/feC0lxcdWzalYplS8d4RGdI7MGvccPqNnoTXxSt4njpD2LdwvoV/x8BAn94eHgQGBpIvXz5iYmJInz49NtbWeHt78/r1a57/yCudVBTvmez/2j7zuob1t7CwYPy4cQwbNoxGjRppHT1HIG2ZOXMmNjY2eHh4pLUpAgICAgK/MSNGjGDbtm0sXbqU/j8iuwj83rx9+5aJEydy7NgxQZAWEBAQEFBLlixZmDx5Mh4eHty7dy/Fx4wUF6WDg4MZOmQIM8cMwcLcLEXa/JPEaBm2dtJJl06NitOkbW/6DJ8NqJ+0Tk5uyOSE7FYk9stn4sRi9t9+wvgjl3kXEEL1wnlZ37e1dPJQidQSpFOa1PbEk7UfERnJqKlz0NcT8fz4VszNTJBI4P6T51iam1Ewj9SbLlJBkFbVt2XtTZgjFegKuST0itaEk5MTXqdPs2XLFl6+9SedtTWW6RI+G4UKSL1/TEzNGTJhKS/8fIiLi0EcFwfEF6UV85kqo2qRRGJoc08Uw3rGw8Y+3ovLMOQzxhmNiPoQLd/2RBKBMyaIRKIEk9diiQQ9hcnh7xIxtyThlBVZoP9je4xEwilJKJVE6eShwAFeSqK4L/lOdZEVZiI9Yv18Ccvpnui5qDpnd7cS7D18gpqtOrFlyVyquJeR74uycKB13aqMmLcKz3NXad+gBv3/a8qj569pPnACAO8/B/Il6DkAp06f4dz5C5y+eguRSIRrnhysmZdyuZ1SU5wWiUTMGD2Yai060KlTJ4oWLZrixxBIWSZMmECWzJlp3KhRWpuSZohEIuztbNh58AgvXzxn3vDeFHJOXs5UdWOn4jtVVwFJVTtPnz5lxcqVHDhwgAwZMrB48WKKFCmiu8FKNqniTxK3E3vPWUYFcv7qdTbt3s+kPp3o164J3yOj8A8M5tX7T5QrWhCH8o0Iu3FUXsckPEDlfbWMCmTP+Vv4+PgwcKDuEYUWLVzI0aNHuXnrFq9evcLZ2TlBGT09PQoVKoS3tzcNa1VjlEcnDh8+jF5UsLwvhIqtNI7ZskV3quxXRl04+ngoCtI/kEfpUfzODA5AMbi2YcH8SCQX5cLud4mYU5JQConMyKEQnvuRJIKXkiiqi6wwVBrPc4iMyS8ylZdVHs9B+n3wnmiyiIwJfRdMhpe+WBUtRWiUObZmUQlC6SsTbxGJlTUVK1Zkw869fPryhY2LZsUTpmtWKo91unS07jmQfLlzsmT6eBwd7KjVqjNPnz4lZ44cXLlyBZDeS1lOcZAKvb169qRmjRqJXnJtSew5Ts74X7VqVYoXL87w4cNTLfSXQMrx9OlTZs2axYULF1RGbBAQEBAQEJBhbGzMsmXLaNy4Mc2bNydjxoxpbZJAIgwYMIBmzZrh7q7dPJaAgICAwL+Lh4cH69evZ+7cuYwaNSpF207x8N0DBgzg3k1vdq5ckKjnUEpPVv5OojTA/bs3mTiyPy+f+/FfjxF07jNOZbmkCNKK4YCTE7JbkaiYWNqtPcRxn+eUzJ2Vzf3bki1vwonOlBCjf8VE9a8MC3vi7EVGTp3D54AAFo3qR4dyP/NvK14v5bCUmhg5qB+7Dh2lx3+t6Np3EOnSpUtSSCRNz0VsbCxfoy3Q19enVY28lCpfg45DVgFSIVoVMnFaOb9pYmE/lUOeK6MyrKcKZKG8FVHMNxksicVb8o1aetaJtgVwVByCs8iEHBjLRWkZyiFCH0oi2BD3hYIiMzro2+M2sjxfO4xKVChS1xcjIiPp1H8E9x895uSODWTOmEG+Ly4ujitnT5E5vQP5c2XjzcfP1O4xjLefvqg9l60zR1OvUpkE796kLhRJrI+m5DM2ZcEy7jx+wfnz51Pc61Qg5fDz86Nw4cLs27ePvCqEMF34U0N3ywgICODUgZ2MmTEfI0MDXp7cjmUyFuPJnlOZTcqCoS4htdWlwDhx8iT9+/fHyMiI0aNG0aJFC52fN13vmzqP5D9JsA4ODmb8yKEcOX0O9+Ku7F0wCRNjowRjkUn1jvFEaVD//r3s94HGjRvj5OTE8uXLyZc3L4aGqvMcJwejsI8YGxmxYuN2pixYhve1a6RLl07r+trcb60EaRJG8pHzIxqKut9jrNOzr0wf7H/kgd4YF8BuSRCOGLDWQLrALk4ioXncM6KR0FsvPXV+fAMcFYewTPwZI0Ts1s8tH+e7xL7An1iai2zpoC89lrf4G/PEn9isn5Oc1ZzIVb80n2v14E2EdhOsqiIbnDh5kt69ezN2UB/6dvkvXvknz17w6UsApYoWwtTEhJlLVjF3uXrRtnTp0mzauDHFhMKUegdr8yy/e/eOWrVrC3kn/wAaNmyIk5MTK1asSGtTBAQEBAT+EFq1aoWpqSnr169Pa1MENHDmzBkaN27M06dPSZ9e9byugICAgICAIleuXKFGjRr4+fml6OIz1apTEvHz82PlypUMHz2ObybSvIiafv52ChUpwZ6jl6hZtzEnDmwEpBNWsh/Z74lhpRea4AfUTCYlUZC+/OwdbtPWc/rRS3YO6cCFZRNTTZD+FfxKseOuzyO6DBxJvuyZuLptWTxBWhF1gnSo2CrBD8DEGXP4r107Vm/dRclSpXAtVIiOHTty7NgxlNeSBAQG0rVbN/K7uFClalVmzppFVNQP0VihzyhjYGCArVkkgW/v4P/xLWUq1ZHvU+cZrQ2WUYEJ7oFsm7p7E2lurzYUNkj7nqz/KffDTKXyyP9vjh73JBH4SxKGKL0rDk9w7QqLzLBCnwgSP98CIlMG6Gcgj4JnlkPQk0TrqcPUxITF08ZhZmJC82598f/y89ro6+vjXq0W+XNJQ7YHhX7l7acvGBjo4+KcO14784b1Yv5wD5WCNGgvGCiizTs6pd7tYcZ2dPEYyKNHj9i/f7/O9QV+HUOGDKFp06bJFqT/Buzt7Wnd1YPj29cRHROL17XbSW5L1RiqTpDWFSu9UMLDwxkxYgS9e/fGvXx5bly/TsuWLXUSpDW9v7Wpp1z/d1iUoA0SiYS+/fpx9eYdFk8bj+fSaVhGhGi1iEoT5ZwzsnftUsRiMY0aNSJf/vxUrlKF+QsW8OVL/MVHEomETZs2UcrNjaLFitGhQwcePXqk1XGMjYwAOHH5BqVKltRKkE5svJZhEh6QYHwxDPms9toojuPxUI7Go/S7YchnrBVipOQRGaMHuCh4PusBzphghCie93QOkTFGiHDGJN4fPS4iU/R+tCUjs0h6reaIP/H29CfgZz9NakSjmjVqMKB7RybPW8L2/Z7x9uXNnZOKZUphaiJNkXPtRyj4WjVrxivXtEkTRowYwayZM1PUc/VX/j2WOXNmOnbowMCBAxN8hwn8Ppw5c4Zz584xefLktDZFQEBAQOAPYsaMGezcuZPbt5P+95BA6hIXF8egQYMYM2aMIEgLCAgICGhN2bJlqVevHqNHj07RdlPUU7pRo0ZYWFgw6Ud4uV9JSnlJqxLvNLWtGAJRVRuhYiuWL5zBob3b2XbgDJvXLqV0+cqUKqM+VIou4Y9TImz3wTtP6Lj+MKWcs7GkW1PyuxZIUEadGA1JE6RTYxIsrSa4B0+YzoVLV7m1ZyVGhoYJ8iJDQg840K5fAXz58oXz588TEhLCiZMnuX37NjOmT6d58+byMh06dODR48d07doVX19fPD09sbKyopCrK/Xq1yeDoyMlS5bE2NiYgCgzHt6/TWxsLAULF8PExJQTh/czclB39p9/jdgkcwJ7lL2mFb2lrYzDU0w8kaEqP7qqPijbH+vny/kBB+XbJRIJEogXphuknlTK3tCy8knxznUbWR7j+k1V3l9FErsmL16/pVHHXhgZGbJ//TKyZHSKt192PXZcuMPwybMIDv0KwNie7enRoj7pLLTzzkzraAaKudhVsWPHDtauW8fjx49TxWNQIHmcO3eOBg0acPr0aexTIJd0WouSKdXHg4ODKVGyJFtmjiLk6zcio2NoXrMiNukstaqfWAQNVddJW09pK71Qvn79Stu2bXn95g0jhg+nZcuWOgtbqXmvfvdFik+fPqVW7dqsnTeN5uULA+o9fk2qdyTy1AaV45W692+wvhVXr17lzZs3+Dx8yJEjR8iSJQuehw6h9yPdx9mzZ+narRstmjcnc5YsbFi/nqDgYPLly0f1atVwdnamaNGiODlJx463b9/y8uVLCmWxJUtGJ8RiMa5VGtC0SROGDh2a6Dkn1Tta22gn2pZVRDEiCqgezyUSCWJIsD1OIkEPEozzqtoQSySIfpStuKAhEZWb8c5Q6o0dGmWu0UZ1OeAtIgMYOmkmm3btZ9qowXRt20Jl/S+BQXQeOoHr168jkUioXbs2bdq0oWyZMirLpyRJecZ1fXa/fftG1WrVWL16NY3+4fQPvytisZgSJUrQunVrrd4TAgICAgICiowcOZJr165x5swZIfLZb8j69euZPHkyjx49EnJJCwgICAjoxKtXr3BxceHKlSvJSv+nSIrllL5x4wanTp3i7JkzKdXkLyMxEdhKL1Rr0Vu5LSu9UMwtLAkLC2XD6sVsXruUDasX02/IWDp276e1DYooTxypCtutLV/Cwum66SiN3FxZN7YPhgrhoVNaiJbxNwnSMTGxHDp2iq7N6mL0Q0RLLFy3rgsoHBwcaNasGQBdu3alT58+jBs3joOHDlG3bl3q16vHm7dvqVy5Mt27dQOgY4cOnPbyYvv27Vy8dAmQ5iCsXLkyr1694sGDB/L2q9duwKXzp7G2dcDa1oGg77pfh8TyUiYVTX1Qtt8w5PPPnJQ/EIlEKjO4K04+K4bmTsofTZmrOmLiaIcE3fJuqiJntiwc2bqa4tUbsXjNZmaNG6ayXKsKRXlYvzoLt+wF0EmQ/h1I7Nlv3rw569avZ/369XTv3v0XWSWgDRKJhFGjRtG1a9cUEaTTGm3GocQWUcgwMzNDJBLx8Nlrpq/eCsCSbfu5tn0pZj88INWR2FiaFEEa4n9TTJs2jfcfPrB71y7y5s2baF1tbEhJtL3OacXBQ4ewTpeOeiXyAbqLqTLU5Ze2iQuNl9OtaZMmtGzViqpVq1K9enUaN27Mm7dvARgzZgzm5ua0ad2aY8eOcfTYMRYvWSKvW7RoUbJnz87BgwcRi6WLx8zMzChXrhxfvnwhb758SbJdG7S9LsqLzVTVUx77DUM+k6lUnniitKoFZiKRCFXLLVSVVbddtpgtc1VHDJyl0VtkfwdYGYerFabVCdIyu2aPG87XsDBGT59Hy4Z1sLSwSNCGScY8zJ0zh/I/+oNL/vy/RJAG7fJGJ/c5tbCwoI+HB2PGjKFBgwbyRRcCvwd79+7l8+fP9O3bN61NERAQEBD4AxkxYgQ5cuTAy8uLatWqpbU5AgpER0czceJEpk2bJgjSAgICAgI6kz17dnr16sXYsWPx9PRMvIIWpJgoPXbsWNq1a4e9/a8P45xUL2ldRDRVwrQqAVoVWbPl5Ht4OLe8L1OidHnu3brO67f+KstqmoBW3hcvB6+KsN133/qz5MwNvoR9x9bclMBvETQs4kyV/Nn5EvadUjkycsznBVGxcSzs2kQrQfp3C9MNae9t9y0igsyODvG2aQrVrQ2aRN7p06ezd98+zp45w7hx45g6dSoRERFUV/jwL1KkCEWKFKFf375ERUXx4cMHjh07xpGjRzEzM2Px6u1ERUUxc9IIXr98TvaceegxeLYupw1A0HfpB+2HZ1c4sHsrLrmzULdsEbJnyQSo9qRKrA/pGmo6xjo9hkCBDvl4uPGx1vUUc0XrSuaqjmQqlUc6YR3yGcsf55QccUUWYnXvkePMHDtUrVA+uFMLQsK+UThvrlQVpNNCKNLX16dv375MnjyZDh06CH8w/UacOHGCJ0+esGL58rQ2JdmkdK50Y2NjsmTMwPGL3gBUK1Mcr2u30ddLKI9FmtvL33HK70J1uZfVERUVxdJly7h//z7mZmZERUdjZWXFoIEDefnyJYULF8bS0pKjx47RtUuX31KQVj7O7yhOx4UFkd42HaYmxjoJr4ktqlJE8X1bokQJNm7YwMmTJzlw8CBr163D1NQUCwUR08bGhjZt2tCmTRvCwsKIjo7m0qVLHD58mIsXL9KzZ0+aNGnC5MmT8fPz49XLl3Tu1Il6detqZYsy38LDWb1lFzGxsRTKn5dGbvFTbSRVqNe2Xox1eizc3cl8/Wk8YfpXYBIeEK9fKorPoVHmCcJ6q4scY/o9kO9fQ5BIJHwJDFIpSgM4OTkxf948Tp0+TZs2bVLqNLQiMWE6Jb4LWrRowarVq9m1axetWrVKVlsCKUdcXBzjx49nzJgxmCSymEpAQEBAQEAVVlZWDBkyhLFjx1K1alXBW/o3Yu3atZibm9OyZcu0NkVAQEBA4A9l+PDh5MyZE29vb9zc3JLdXoqE7/b29qZKlSqcP3cOW1vbZBuVFHQRplPDo1OTiPjgRQCNapQGoHCxkgDYOGRl3uIV8exJSrhEw5DPnLh+n2UHTnPH7wW5MthjbGjAwEpF8dh6gvchYTQsVZDAsO/oiURc8H0ur7upcwOCv0cycOcpvh5dg76+1GNBl7CTSSElJ53TWpD+5OeDW6veDO7YgmFdpJNr6oQGVSHeE+u3ifXVDx8+sHLlSvQNDBg6ZAjRxhkSrat4zNlTRvHQx5eFG09x5vgenDJlwzFX+XjllUN3g1K+6e+vaVo5p/zXAnnzcHr3RvT19dUKzKr6kzahQDVN8hu+9KXT0HkUeqdPIT2pWPtFEsO4uPfYiwwYr5cJgx9/GB0Xh7BVHIiHniOl9aQTw+GSOMbGvWegviMZMMLwR9mL4jBWiT/TTM+Whno2ADhWdsC+WE4yFCsktSuHS7wQ3knplxKJhB5Dx3Dg2GnmTRxFu2YNNV4bXfldwuwnhlgspl79+gwYMICePXv+8uMLJEQikVC2bFkquLvTo0ePFGs3Ld7fugrS2j4DPTq35/SFKwAM6tCceRt38/ToZhzt438TaXoOFY+laEdgcAhzlq3hzKWrxIiluVmLFC5MtmzZGDlqFBkcHcmRMyfGxsbcvXuXkJAQQCpu7ti+nQIFCzJ06FA6deyo1bkoH/9X8ruJ0hKJhCH9enHx6nXe7VqYaHlZ+G7Q/VtK1bnHxsZy4OBBTp8+Tfdu3ShWrJj2xgN+fn60at2a1atXk9HJiePHj9OxY8d4k4Ta3OvuQ0Zz4Nhp+e+eS6dRsaTmUObJRdX1E10/x3PPa/GEaU9xMLvEQXTXS4+7njRkvmw8B5isnwlzkXSByCNJBNPiPjBRPzM5f+SSjpVImCh+T4Aklsn6mbAXSaPe6Je1opJHC7CxJyyTizyEtyZUCdKK4/fFW/dp2GcMztkzc+7QrgT1f7f+n9T3YWLs2LGDTZs34+vrK3hL/ybs3LmT4cOH4+fnh9GPRZICAgICAgK68u3bN3LkyMHWrVupUaNGWpsjgNRLOleuXMybNy9eCkABAQEBAQFdGTFiBPfv3+fo0aPJbitFZgJmz55Ny5Yt00yQBu1CcMt+fjWZs+bArWxFAO7dvsHrV694cOsC6tYDmIQHyH+UtyvyJSiEYSu202jMfL5+j6Bbg6o42NsR+D2KRkv38D4kDDeXXOyYMphTC8dyfP5opnVrwcK+/1GpYG4mH7tK9hxZEEskvPgonVRUngSMNLcXBGk1XL9zn5rdh+GU3o7OTWoDiQvSuvbBULGV/EfVNvMM+Rk0fgH9R8+RC9Ky0JLq6ily5fIl7t++zOkjO5k8tD1zJvRJ1CZFQdrWLAobO0cA3CvXYPHq7fj6PWPd9j0a21Ds46r6OiRhotvGngL5svI4q4QCHfJhmskYP0kkb4nmjuQ7ocTJi54SfyWYOC5IwuTb3hGNH5HckIQjzUgt5YrkG8HEcVEsLWuayZjg6BhqrfXE2+sysV8+J7A1zNhO574uEolYOXsKxVwLcPXWHd3OPRGS+gynxTOmp6dHt65dmTNnDnFxcYlXEEh1Ll++zMOHD3+5196vJjn9vUnLtvL/bzhwAoCLtx/EG0N1fQ7FYjHHzpynWrP27Dt2mvIVK1OhQgXMTE1ZuWoVI0eNAmD58uVs2byZtWvWsH79erp168a4ceO4efMmFy5cIGPGjLx6+TLJ5/YrsYwKlP+kNVFRUQzt15sDx04zpV/nVD+eqnM2MDCgWdOmrFi+nGLFiul8bczNzQkNDaVFixa0adOGKVOnEh0drbNt+TNLx/nrx/dRsmA+Bs9eRtzn95rH6eAA1T9aoqptA4f0ZCqVhwId8lGggzQUeRGROcHEEUysvJxsPPcjknf8PN8QSRybDXKRU2SMaSapKB2JmDuS77wlGj9JpLysuYE+33weEevni+V730T/jlBcYGoZFajy28a9eCFWjB+E7/PXBIf8+r9HdEX2LZOUbxpNNG7cmJCQkBT5Q1Yg+UgkEmbNmsXgwYMFQVpAQEBAIFlYWFjQp08fZs/WPQqfQOqwc+dOTE1NadKkSVqbIiAgICDwhzNgwADOnj2Lj49PsttKtqf08+fPcXFx4fSpU2TKlCnZBqUEqZXfVttjKgqQMvYdu8DQvvEnNXv26MGAAQMw/JGLWDaJpYxiuE95e6cu0nvyfABGdG1D//+ayj1f4j6/58K9xxga6FPMOTtW5glD/E7ZdIA5O4/wYsVYMnUZz+ohXWjZ4udHSnKF6NT29kjLCesHj/xYuHoDpy9cobBzTtZOGUpmRweNgrQ2XsvJRVWeQ+Wwksrl/T++pVWN+CFdd12JRl9fVVbG+Nia/Qx/vXP1RNavXMjBU9fZsnIme/bsYdOS2dRwzZEkLxhtckyqKv/w0FFeHniArb70mUrnnI71L99h+CKS6no/r/UzSSRnxV+pp2eNk0g6ASeRSDgoCaFp+ezky+NE6LtgAh+H8OJdGIfFIVTWS4drZivs8lljldmGQ5+DCPweSd+yhbAomJ+wghUA9X1fmz77/qM/Ras1oHbVimxcNEu+PSme0r/rYhJtiImJoXKVKixZskT44+k3oEGDBjg5OTF8mOpc50nldxAe1aEqlLam58Df35/27drw7OVr+bb8zrlZPWcKzrlyqMwnrBzGW7H9gMBAevXqxe3btyldujRzZs/GyclJvv/x48e8f/+egplsyJ0jWwLbgoKCcCtdmvHjxnHn7l2e+vlx6NAhna7B73B/0sJzNDo6mpULZnH8zAVevX3HsrEDaF0qv1Z1Tap3JOyGeqEtLd7LuXLnjve756FDuLhIw2+rSgujCv+AIFwbd8Gj83/Ur1GFGi060KZqGaZ2bYFtOtVhqHURoLFRfV0S5JZ+6cunkxcTlAt9FxzPe1o2ngM0FFnLv48jJWKKd3TBIqM93z4EyOs+8vnMzY+huIssscxsIh/nZVhktMe4ftMEz6qq733lb3nlHNotB0/k2MXr3D51kMwZf0a3UWz3X2DFihVc8/bmwoULaW3KP8/Zs2dp1qwZb968wdxcdc50AQEBAQEBbQkICCBr1qxcvnyZokWLprU5/zQSiYQiRYrQu3fvFI14JiAgICDw79KtWzdiY2NZv359stpJtig9ZMgQHj9+zKKFiYc1/JtRJS7KJqk+fvxIeXd3AMpXrIb3lfOUKVOGCxcusHPHDkqUKKEyzJ+6nIR+r95SurUHDauWY+7Q3thaWcbbr85zRbGtln1H8S0iEs9hHbFtP4r5wz1oVLU8IkQYOWZNcji9v1mMBggICqZs3RY42NtSrUJZhnl0x9zMNEE5Xa5DUoVpmQgtE55VidIyNJWZPKwjZ479DCPZyWMs7XuOlOeLVhSf1bUdFvaVBlVLYG5hydZNG+jXvz8PHjygZMF8bJk5CicHO/xeveXyHR+quBUjW0ZHjW0mVZT+dvEi9zfdiJcvOnNVx3iTyzKxWVbGNJMxdvmsAchUKk+8iWoAq8w28f5vkfHn5Pm3DwFYZLTHxNGOiMrNNN53dX1X8ZmfuukgM5es4tCmlZQuXiTBfm1Jjdzvv3qyfOWqVVy/fp2zZ8/+0uMKxOf169fkyZOHs2fOxBNFU4K0fp+rQ11uZ03PgIeHB8dPnKBr2xas2bqLetUrc/jUWerXqMLa+dNV1tEkSnfv3p279+6xaOFCSpcurdIeTXZfunSJDh07ctjTk507d3L16lUOHTpEREQEJiYmanOG/q73RJHUfhdNGzeSzbsPUK9SGXo0r0eF7A4ayyuOTZYl62gUpSHl38+JXY8PHz7gXqGC/PfMmTNz2NOTjEbxPabVjTWy8XX4yh0s2nuC+cM9ABg0axkmRoYs7daU1u7FCI+M5uiTt5ibGFPbrTCiEB36kgpRWtWYbxjymU879yfYLhOZlcVpGbLvAIuM9lgUzM83n0cqzZCN6Yq/y8hQw12++EyGqneFOkEaIOjrN7K06E/dCm6sXjwv3rf2vyRIA4SGhlKufHm8vb1xdXVNa3P+aZo1a0aePHmYPl31WCUgICAgIKArPXv2JC4ujtWrV6e1Kf80Fy9epGHDhrx//x5T04TzlgICAgICArri6+tLsWLFeP/+PXZ2SZ/HSJYoHRUVRaZMmVi4YAFlypRJshFpheLka3Ing1TlC1akR48enPbywj69IwGf/WnZsiVHjhwhX7587Fgyk3SWUk8T2WSWply6i7fuY8qKLbzx2omxkWGS7F2wYj0zth7izarxFBkyl4puxdh6WJov0NzMlJc3zuncZmpOqP0OE+Vh377Rd/RkLnnf5NrRPdjb2qgul4TroE6YVhSRFb2eNQnQuvI9PIy6pR2pXb8pmbNmZ92KBSza5IVLoVIa6yl7YT9/+phu7RphZKjPvr17+fD4DgPGTuHr1zCK5MvNpdsPALBOZ8Hz41sxNDCQ15X19xjr9FotqlCHYchnvl28KJ9IlgnGBg4/6ipPfMs8uX5slx8/OIDYL1I75HVV1VcgLJOLzvlqlUWAyt2Gk9ExfTwRS1dROjUEafj1E+YBgYG4u7vj4+NDnjx5fumxBX4yZswYrl+/zorly1O87d/hva6Mqn6ujSjt7e1Nm7bSEN4Z0jsQGRlF3eqV2Hv4BGvnT6N6xfIJ6qgTpSMjIylcpAhjRo/mv//+S2CHNrZ//fqVUm5uDB82jLi4OObOmxcvbPORw4fJly+f1m3/TqTmu+jEyZP07duXiR4d6NeuqVZpJHQVpXVF23e6pusybfp01q5dy8EDB2jbti21qrizbMZE+X7lcUbVeUfHxNJr/nq2nb7CvGG9qVamODOXrmXr6SsUy5OdT8GhfAiQLuDaNKonzQvn0spubb2kFW2L9fOV/x5vjFbTZgKPa8XzU/oOiIeCt3dMDpcEuxXvjSYxWnb8PSfP03nMLO6d8cTJMb5N/5ooDTBs+HAyZMjAkiVL0tqUf5ZPnz6RLVs2Hj9+TI4cOdLaHAEBAQGBv4Q7d+7g7u7Ohw8fSJcuXVqb88/Srl07HBwcmD9/flqbIiAgICDwF1GhQgUaN27MwIEDk9yGQeJF1HPw4EEsLS0TePH8CShPwCYWmjMxrPRCNYZpXrFiBbNnz2blqlUA+D15Qru2bVmxciWv333ANb+zxvYVvaZfvPuIo71NkgVpgOYVSzFu3R7mnvTmQ2AwsbE/c/GFf4/Qub2/XZAGGDVtHuevXGfhlDFqBWlIfl9SR2iUucZw3EnFzNySzn3GsWXVTLYd8OLCmRMsnT6ANdsOYWKi/WrKXHnyMX/FZjq1rEN5d3caNWzIqV0b2bz7AFdv3cHW2oqgkFBCvn5jwPQluJcoROlCLmTL6Jhgwjg2Lo73AcHYWppjqcITXR0x1umxcHdHOZioqsntSHN7+JFxQHa/LKMC5dtlE8wxxJ94Vry3ur5HFI+jTPDXMO488KVtkwYJ7EyKt/Sfjr2dHdWrV2f16tXMmjUr8QoCKU5cXBzr1q1j8qRJqdJ+mLHdb/N+h+SNY25ubhz29KRFy5Z8+vwFgOb1a7N17yF2ex6jfgmpAKwsMKoSHD99+kRsbCwZM2aUb9P1OqVLl46KFSqwbft2XFxcyJIlCx8+fCAmJobY2Fi+fv2a5LbTmtQaY318fOjduzd1KrjRo0UDnQXp1EL5/a9OpNa0eKJ7t25s3bqVQ4cOMWrUKEaNHk3LhnWpWKaURjFVESNDA9Z0bYTf208MmrUMa0tzzm5YQO3qldjvdQnzdMFyUXrq5oN8DKxIiYy2FM2ZGVOl71WJREJweATfIqPIqmGxlypirNNDqZ/XPUaLOhqfO02Zh37sUzcGq9quaVGp17XbuOTKlkCQ/ldp2bIl3bp1Y/bs2YL3ThqxceNGKlasKAjSAgICAgIpStGiRcmfPz/bt28XwkanEcHBwezZs4fbt2+ntSkCAgICAn8Z3bt3Z9q0aQwYMECeLk1Xkhaj+Qdbt26lUaNGST54WqFuAtYyKlDlj7ZoymMtEokYNmwYlSpVAuDxkyeULCX1RB0zYx5isTjR9g1DPhMVHcPpK7cokCu71napIlP+AjSoXJbpWw9haGDAsC6t6dG+Nc3q1eLQppU6tfUvCNISiYSjXufo1bENDWpW/SXHVOUNHRplnqJe0jKat++HQ/oMzJ0+lskTx/H0yUO2b1wl32+lFxrvRx1uBbPJ/3/g4EGMnXIzqGdnurRuTlCItJ6FuRlnbz6g+/i5FGrchWzVWlK182BKtOhBjhqtcWrWF+t63cn331AKdR7JkzcfdTqXGOv08h9t0fVZl5GUvq/uOJtPe6OnJ6JcqeJUbtKOTv2Ha/VekBFpbp9qXtJpReNGjdixY4dO10Eg5bhw4QIxMTG4/0g/8TejabGJ8n515M+fn2VLl8p/93nsh2v+vBw5dY4rd3wSlFd+XmXHPXHyJPr6+uTMpaWnqRr7unXvzosXLzh8+DD16tZl5cqVuLi4MGTIEEqUKKF12/8K548dxNYqHVtmjMbie7DGstqMMYm9kw1DPsf70RaT8AD5j7bY29vTt08fNmzciKurK6VKlqTvqEnExcWprhAcoPJHJBLRoGheAELCwjnrfYca9RqyaGRfvn77/vPcjE2YsGEfVccvw77DaIoOnY/76EXk7DmZTF0nYN9hDJm6jCevxzSmbTmo9XmoQ/k6K19XXa6VLuO68r3TJEh//fadQ2cvU6taFVZt3kHhKvW4ff+hzsf8myhWtCg2NjYcP348rU35Z9m2bRsdOnRIazMEBAQEBP5C2rdvz/bt29PajH+W/fv34+rqiotLwmg/AgICAgICyaFJkya8efOG+/fvJ7mNJHtKh4SEcPz4cY4eOZLkg6cFSRGeUtIrJzBQevyIiAh8fHzYsWIBrXoOYO223XRr11JeTl0Y4+PHTvD6oz+75o1Pti3TBnTD0d6WiiUKce35R1Zukn4wLps5MZGaP/kXBGmAmUtWEfYtHHe3xCfy/6TJxZ95o2HY2Gn079GWqhXK4l6+PLu3rqFW5dLxQrzKkAnTymHHjY2NmTZ1KqNGjwZg4sghmJubs377HupWq8TngCBCvn5l9+pFmJiYcOveA3z9nvH0xWus01liZ2uDgYEB6SzNyZrOhAlLN9B88jK8ty9T+7JSDP2tjCbRwCQ8QKNgoI3Aq6qPanpfKJZXnCR/+vo9i9ZsokGNquw8eISHT57y8MlTPn3+QsYMjmkuNqdVny5XrhxhYWFcu3aNsmXLpokN/zLbt2+ndu3aGBgkK6jKb48qQVrxOdal/8vGeIAxM+bz6NIJWnbvx6C5qzm8ZZU8ioO694/Z989s2riRZs2akSN7dp1sV6ZE8eKMHTuWDx8+0LVrV1wLFQJgxPDhCXLZ/k7jbVrw6dEtNuzcR/liBTEw0NdYVpsFT4r3VjnahToBWnF7anhgd+rUiQMHDjBo0CCGDBlCj549WbBqAwN7dMIsIkjrdgY1rMS4Hcek/5+1DP+3bzh104eX7z4xull1pu45Rb9GVWjSuD4+T19x3+85D56+JDIyiqqO9pgZG2NoaED6rDl5/OAek9fvxLVIYWqVL6VxPNeEJtFZFmkosTFfEU3PhKr7l9iigu+mtoyYuYqIqGhqV61I7TZdiI2N46jXOfKUrKCx7t+MSCSiTp06bN++ncaNG6e1Of8cvr6++Pn50aBBg8QLCwgICAgI6Ejz5s0ZNGgQHz58iBcBSuDXsGPHDlq1apXWZggICAgI/IWYmZnRoEEDduzYQeHChZPURpJzSm/ZsoUZM2Zw6GDyPRx+FcmZdE0pUebjx480b9GCjx+l3p+PLp1gwaoNrNq8gz1rllDdNbu8rKpJrp5z13Hr+TuubFuS5LC+YrGYTwFBfI+MwsQxK/a2NoSEfsW5bHUAPj/0TrSNXyFS/S6T5OevXqd5174M7N6JEf16qI0MkNRroizspoYntDZYGYfTrkl1Xr3wY++ePfTq3Rt/f3/279tHsay28comdq5+fn7UrlMHC3MzLMzNyZ09K5uXzuX9x0807tSbL4FBFMibh0VTx+KaP6/adu488KV2my442duyfNxAKpUqIp9UVpV/PakT+bqKvprCcCvu11RGZr/3/Ue0Hj4VWysr9qxdQvOufXnx+i0xsbG8unkeM1MTnWxLKX6XxRUjRo4kU6ZMQh6kX0xcXByOjo4sWbyYUqU055dPKr/LOz6x51mxTGKIxWJWrlzJnLlzARg3uA+Vy5WmQfseuJcuyYaFM4GE+aRl+Po9o1LjtmzdsiVZqVEiIiJ49+4dZmZmpE+fHkNDQwYMHIinpyebNm2inMIij9/lPuhCSr6fxGIxDerVIS46koOLp5LdOGFkBm3HFsuSdfjiez3BdlXjlTboKoCD5mtz584dmjVvzrSpU/F5+FAaUrF9a2Z5tP1pX7Dm78rYL5+JiYuj3IxNPPoYQBZ7ayQSmNusMrUL5qLnrjNsu3gbK3NTerVuzKCB/dW2JZFIaNihJzfu3qdr07pM6dclWalpZGjyWNZmvFcUpbXJt60K2TG/R0bSY9pyPE+eYd7EkcTGxjF8ymzEYjGj+vekc5/BWrX3t/L48WOat2hBQECAEML7FzNp0iTu3r3Lvn370toUAQEBAYG/lMqVK9O0aVP69OmT1qb8UwQFBeHo6Mjz58/JmjVrWpsjICAgIPAXcuDAAYYOHYqfn1+SomgnOXy3p6cnVSpXTmr1X86vnHTVFArYycmJ/Qp//L96+46JQ/tRqmghRk2bQ7jJz1zFqsJDXn/8nJKu6kU8TQQEh+IxeQHWpeuTr14HijXrjot7LVp068eFazdYMm08R7auUVs/zNhO/vMvsW77HgrkzaNWkE7ONVEWpNOaStVqERsbS3BwMIc9PbG3t2fBggU6t+Ps7MzH+1d47n2G+2cPs2/9MszNTHHOlYMbO5axZtJQJBIJHfoO48Xrt2rbKerqwqldG8mVKycN+45h1ZGLCcrInpHkeJaZhAdw5tI1WnTrx/IN2xItn9j7JLHw/3ce+LJo32m6TV1G3V4jyZk1Cwc3rSRDegcMRRATG4uttVWaCdK/E1WrVOHw4cNpbcY/x/Xr1xGLxRQrViytTfklpNQ3gp6eHr169aLhD8+zB75PKJA3D/Mnjebo6XOcuXQNUB/a+ebdB+jp6eHq6pqk4+/dt488zs4UdHWlVu3aVKhYkYqVKrFy5Urq1K7N1KlTKVWypLz8nyhIpzQ+l0/zyO8Z84d7kMnRPl4KCF1TQaQ0SQnvreme5sqVCz09Pa7fuMG4sWMZPGgQa7bu4klw9M9CGnI8x36R2mGor8/10Z0IWTQY3wndeDSxG3VccyMSiVjRogqnxvfiv4olmLFmG6tWqk8JIxKJ2LpsLqMH9Gb9/mPU7jmc8IhIrc9VGVWe1rL/R0RG0W38HLoOGsX7j/5q29D0PaftfQgOC2fvvoOMmLeKSp2Hcur8JdbMm0abJg0wMNAnLi4OiUSCXZbcWrX3N5M3b15sbW05d+5cWpvyz3H48GHBS1pAQEBAIFVp0KCB8Ld8GnD8+HEKFiwoCNICAgICAqlG9erVefv2LX5+fkmqnyRROiYmhhMnTlClShWN5ZKSl1ksFtOiZUsOHDzI9+/fSaIjdwI7flUbiuXU1XFwcGDokCFMmzqVYq4F0NPTY+ygPjx5/pKrN+8kmKiWTaiFfY/g0esPlCiQV15GNrGt/CNDLBYTaW7Py29ictZsw2bPUwnsOXfFm66DRjF6xjyV9qaVEP07iN9+z19y8doNyruVUCtIJxVVgnRaeUnLaNmuK8WLF6dDx47cuXuXNm3a4HXmTIJy2oiy+vr6Kq+ZWcYcNGjajC1L5/Lu4ycmzFmksS3X/M7sXLkAiUTCkIkzVJZJqmjw7XsEF27eo07PEbTq0Z9zV7wZP3shnie8NNbT9r6/evueF6/fyN9jYd++sXT9Fmq26iQN7fv0Gd3/a8W+dcuws7EGoGfL+gDo6Sd5zVCy+R2ePRlly5blzZs3SR7kBJKGp6cnFdzdUyV0965du+jWrRufAwJTZIxPLtqM74rfM9qU79e+GZ1aNWXKyEEA1K9RhSIF8rNh516N9W4/eIizszPm5tqNBRKJRJ5zfe68eQwbNixBDnZ/f39mzZ5Nr969ee5zB+vYEJ2/zf42ZOdvERnA2m27sTA3o5iLc7LaTOs0C4qou7fp0qVj+rRpHD58mIEDB9KxY0ckEglnLl1NtE2ZIK2Ivl7CcUokElHeJSezOzSgtlthxixah//Th+pttbCgT+f/GNerPTd9nnDwzOVEbZGhySM6xjo9Uensefr6PcPnrSJvvfbsPHaWQye86DlsrNbvHk33NSIqmhuPXxARJRX1JRIJF+8/psqQWXSasYodx8+RNVNGPDevpl516ULeetV//u2UJ08erc/1b0UkElG5cmU8PT3T2pR/ik+fPnHr1i1q166d1qYICAgICPzF1K1bl7Nnz/Lt27e0NuWf4vDhw9SrVy+tzRAQEBAQ+IsxNzenSjIcyZI02+zt7Y2BgQEFCxZUuT+5E5329vYcOHCAwYMHU6RIEWZMn/5bTNwkllta24ltgKGdmsfbXqRAfkyMjbnkfZPyKvIWx1inx0LiT3pba3yfv1bb/udnvizeuo/TV2/x4XMg0bExDOjeiQqlf3pG7Zw7DoDT125z8OxVPgdIbXKws6VZFw/at2hC5979sbdP2wnW32HCfP2OvRjoG9Ct7yDCjG0Sr6AlyRGkrYzDk1RPGyzTWbFgzV46N6/G2rVradqkCTExMXz45E/GDI7Az1yoivcnKSJmYHAw+vr6lC9VPEEbyvdeX1+f7u1asmrLTtbv2EvRgi6sXreBhlXK0qByuQRty3JIKqMY8v7c9bs07j+WuLifAk63di14+uI1KzbtoH7Nqgnqa3ueEomE+SvXM3PJKiQSCQ52thgY6OP/JRA9PT1qVXanRcO61K1WKYFw37x1Gx6+D6BEIdXv19TkdxKjZZibm+Pm5sbx48dxdk6eaCSgPcePH6dd27ap0ra1jQ3vP3ygRI1GmJiYMG5QH1o0qINRCoTt/VUk9j3gmj8vM8cOk/8uEokoU7Io2/Z5EhcXh76+6rzFGXM4s//YaSIjIzExSRgpQSwWs3v3bg55evLgwQNiYmKwt7fn6JEj3LhxA4AubZrTpU1z9nge48Y9Hy5ek263s7Fm/Y69+Po9Y0C3jlRxL5OcS5BmpMR7Shae+eWbdxw+dZYpIwZiriYyhbIoqRjOWRshOilpVlShblzTJVcyQLNmzQAYPmIEQ4YMwc7Ojtfv3gPSb01loVeVGK0JAwepjXHpbImMjiFHZieyZHAgOpF6ZStWhkXrWLv3KBVzZmCH90OevHzLivED4+VAB+09liu07899vxfy3/X19Zk7YQQDxk7lrs8jirq6xCuv2LeU80rHO2ZwAD4hETQbt4jX/tL7m8PJgcDQb3z9HkG+HFkZ1KMTXdq2wMEufvqTdJYWeG5exZrdh8mXL59W5/G3U7FiRaZOnZrWZvxTnDx5kmLFiuHo6JjWpggICAgI/MU4OzuTJUsWzp07J4ikvwixWMzJkyc5dOhQWpsiICAgIPCXU6dOHQ4ePMjgwbqnJUuSK97JkycpV7ZsgkmilEBPT49lS5cybuxYXFxcuHv3Lg0aNiQsLCzFj5VSaPI40lZYvXXfh8ioKPQNDNROYMbaOFKiYF4eKEywKdNy8ER2HztD1cJ58WjdkLg4MS9evaFMiaJ8fujN54feVK5Vl8q16jJ1wljunD7E8pmTAHj28jUikR4rN23HrXRp1q9fr5XtqYG21y21Q4rr6YkICw8nODhYbZlQsZX8J6kkVZBODeyNv5M1a1YeP35MmTJlsLa2ZsSU2YR/j1BbR1cvQl+/Z9Rq3QXnnNlp2KZTgvun6r5OGj6ALm2aM3zyLGq07MjeUxdYsu2AfL9ymFN1k9ayaAIBIaHExYnZtnwe988e5vNDb6aOHEzLhnW5cfc+x89cSPQ81DFl/jJmLF7JwO4d6dq1K18Cg/jo/wUPDw9undzPpiVzqFe9skpPcpFIxMSh/VWK4qnBnxCWv1y5cpw4cSKtzfhnCAgI4N69e5QvXz5V2q9RvToX922iQ8umhH+PYND4aew9cjxVjvW7IJFIOHDsFHoikcZvp7IFchIREcHr16oXn+3Zs4dRo0djZGRE7169EIlEfPjwgcjISHZs387zZ88YNWk6jvmK4TF0NBu2bOfa0T3kyZmdwOAQJBIJ127dpVXPAbTs3h//LykjmP4qUvo9JXsHv3r7XuV+VWKvqqg06kiOIJ2aocNli0qfPHlCnTp1WL9jH5eff0pWmwYO6X8K0mIxbaYs5ewdX2YM7Ea0ZeLnUTCfM17r5vL09VvydxjG5BWb2XHsDPeePFdbR9P1EYvF+AcG07BWNa4d3c37u5f5eP8KzerVJkN6B6YtWk6wvpXaMVDtt0xwAH4fPlNl4DSszE05PH0IAC8/fiFn1owcXjaN8567GNGvZwJBGqR92KVMFebNm5cqf0f9ibiVKsW7d+94/lz9vRZIWU6dOkWNGjXS2gwBAQEBgX+AGjVqcOpUwoiNAqnDnTt3iI2NpVSpUmltioCAgIDAX0716tW5ePEiERHqNSN1JF2ULpfQOxESTuIkVezImTMnnocO0aVLF6Kjo6lRsyZRUVFJMTdFJzGVw3PrEvZTE75+zwBomIgQVa9iGS7cus+Nuw8S7At48YiHz16xqH8HFvZrT6D/J9KZmzGyfy+17RkaGtC0Xk1GD5CW+a7QiWbMnEmu3LnJlTs3eZydadO2Lbt27Ur1cKvaXFPlfpVaXtUeg0diZmbG3r0/Q64qitDKQnRi4rTKOskQpFPKS1q57ezZsyMWi7G2tmbypEmcunCFZl37EP49IkVClE5bsJy4uDjGD+mHmZmZ2nKK91VPT49powbjuXkVW5fNZaJHR+49fo5EIlEpQMsmq5UFhLi4OJas20y/6UsoWtCFyuVKkyG9g7xe4zrVqVOtEl0HjWL6whVq7ZJ5Siq/Xx4/e8HS9VsYPaAXI/r1JL2Dg3zi+c3TRzg5pl1+UmV+ZyFaEffy5Tl//jzR0Yn52gmkBF5eXuTLly/Vo2VMHj6Ae2c8MTUxpv+YKYmGzf9TUDUexcXF8elzADmzZVG5GEVGkYL5cXR0ZOmyZSr3nzt/npJFCrFn+WzqlitKVFQUAwcOxMHBQWV5gJzZsnBs29oE289evkbrngNIX8CN9AXcKFe/JSOnzvltherU+JbLkTUzPf5rxda9B4kws1ObCiUpJFeQVvy/rgJ1YtdK9myLxWIGDRxI5kyZaPBfD05fvaWTnTIhWiZGyzj/+guHLt+mfqUyVK5VV+v2XN3K471jORunjeDu3tXo6elx9/EznWwCuPv4GdW7DuVzUAidWzcjZ7asGBpKg0MZGRmyaOpYLl+/RatWrXj16lWi7UWa2/+8/jb2DNl6DAfrdHjNH0Um57xkySDd9/DZaxxz5Y/3jCuK3n/KmPurMTMzo0Tx4sKE9S9CIpFw+vRpqlevntamCAgICAj8Awii9K/l5MmTVK5cOVXScAkICAgICCji7OyMo6MjFy9e1LmuzqL0169fuXnzJmXLllW5P6UnX2QhLj9//synT8nz4kgpkpqLUVOd+jWqYGZqysBx03j1Xv15tq1XDXs7G5at38KXwCAAwr9HcPrCZbqMmU06M1OqFiuARCLh1O1HVCxZmOxZMmm0K8zYjkp1GlOzZk369e1Lzx496NWrF506dpSXGTd2LE/9/Bg5ahT5XVwICwsjKiqKuLg43S7CD1RdC12va1JylutCmLEdlpaW2NvZYWZunnxv6BQM2a1LXV2w0gsFoHiJEnz+/Bm/p0+pU6cOu3ft4uHjp6zduivZx3j74SMnz1+icrnSlKyqfrJa1X0ViUS4FStM9YrlyeqUnoioKAJDvqptQ1XY1UWLlzJl/jJaNarHzlULE4TRDTd1YPnMiWRIb8/8Vet5/9E/Qbua3m8Xr91AJBLR/b9WfA37xrTp0+WLTWSh8rVBLBYnyA2bkvxJk+POzs6YmJhw/fr1tDbln+DUqVOUKZO6oZ1l/S8uTkxEpHTBmffte6l6zNQksfHIwMCAdk0b8OjpC7btUx9KzcLcnLZt23LmzBlu3LiBRCJBIpHw9OlTFi5cyOnTp2lQU5qT9uzlawD8166dRtvCjO0Q2Wdj9IDeNKlTg2Ee3ejb5T8GDhyIz+OnAAzs3olCLvlYu203rpXqcur8JWJjY4n6TRaCpOb7KkN6ezJlcPwl+c21EZYVy2gjjKsqk9i3kb29PdmyZePCxYuYm5tz6NAhypQtS++pi4m0/HmtNYXuVhaiZYjFYtYdOw/AyCEDE7VfGZvseandsDHZM2XA0c6Gtx9VLzpTdy0/PPalXq+RfIuOZf/6ZZQpUTRBmUpl3ViyeAl37t5ly5YtGu1R7ntxcWLO3Pala91KGDtlZe6GXcTExlKuaEFiYmMJ/fpVbV1lYmNjNe7/lyhTtiynT59OazP+CR4+fMjXr19TfZwXEBAQEBAAqFSpEk+ePOH9e9WRiQRSFi8vL2HhmYCAgIDAL0EkElG1alW8vHR3MtJZlD5//jzZsmYlY8aMOh8sKZQvVw738uXZs3s32bJl+yXHTAvS29uxY+UC/L98oV6fMew4doaA4NAE5UQiEYN6dOao13kKVKhN0aoNyFmqMm16DSIgJJQ9k/phbWFGsZ4TeOf/hcaNGmo8bpixHX5+flSvUYMTJ05w+vRpevbsybVr11i9Zo283LFjxwj6EcI6JiaGwYMH41KgAM5587Jjxw6tzlF50l7XkM/Kbf0qbO3sePnyZbLaSI4grapsSgrSMsFbJkgDlC1TBisrK4YOGcKHDx8oXLgwdatXZv2OvRrDeCeG/5dA6rXrhqmpKe5Vkxc20K1QfgC8vG8nmJyOsU6vcqL+7KO3zFq3g8G9ujBt1GCsrdKpbNvUxIRTuzaSKYMjvUeMTyBWaOq7xX/kgp69dA3mZqZYmJux/5h0ZXDn1s20Orfo6BiKVG1ABtcyFKxYh5BQ9cJ7UviTBGmQesmXKVNGmLD+RXh5ealdeJZSyJ4baytL6larxKj+vRgzyCNVj6lISjwDuo5fE4f1p0HNKgwYO5Xxsxdy1+eRSruaN2uGjZUlrVq3pnCRIhQqXJhatWuzctUqerRvRefWzTl25jwT5yzG3t4eKyvVi6UU7RvUpydTFyxj39GTFMiXB9f8eZk/f7687MZd+7jkfVP+e4+hY8lYuBxZirpTq1VnYmLSTjxLaQ9p5fuVJVNGnr16Q9i31E+PoQ513tDJzUetqX/WqV2bffv2sWfPHoyMjBg4YACfPn9h+4U7YKNZDFcnSMdYWjP+wHn2nr9BZbei2NvaJNn2SHN7ShfKz5nrdzWWURzro6Jj6Dh3PVaW5nhuWknZksXU1m1SoRgDu3di0+bN3L9/P94+5ahIMmKs06OnJ8LNJRdLD57hS1AIGext+RQQxOU7PpQo4kohF2me6MT67dJly8ibLx+5cudm586dGsv+C5QtU4YzZ86k6mI8ASleXl64u7tjbGyc1qYICAgICPwDWFtbU7x4cc6cOZPWpvz1REZGcvnyZapW/TWp4AQEBAQEBH6ZKO3l5YVb6dI6HyiplCtXjg0bNlC0aEJPh7+N0sWLsH3FAhwdHOg+fi5l/+vPpWcfE5Tr06gK988epnrFcpR3K8H8SaO4sXM5N3etoHSFCsRYp+fxyzcA1KzkrvJYip6eioKb76NHXL12jQru8et5X79OhgwZaN6sGTVr1iRHjhzyfd+/f9d4XqnpzZxaKE4mikQixDp6hCt6VSdXkFaukxqCtDLGxsZsWL+eoOBghg0fDoDHwKEEBofQecAInT3kJRIJd30eUaJGIz76f2H2rFl0aN9ebXlt+ottjnwUKZCfYxe8gcRDnF68dpP/+gyhTPEiDOzeMdFj21hbMWPMUK7evIPPYz/5vsRsK1aoAOMG9WHJus0cP3uRrcvmMWDAAOZNHEUDLfNEv/v4kU+fv5DO0oLPAYFcuq5bSFVN/GmCtIwypUsnaZAT0I1Xr17x7t07SpYo8UuOZ2xkxPqFMxnQvSMmv2CCXHHs+9XPgoW5OQunjKV3p7Zs2n2QGi07Mn7xegJFlnK7LKMCyWWlz80T+5kyYiCFXfLSx8ODjRs2cOvmTSYM6YehoQF3H0gF7cVTRqt8Lyn/HqPgkbly0w7y58mFoUJIt6CQUPy/BFCnWiUa167OKIW0H1+/fSNOnLSoKMkhpcMdq3t3ywItxyYx8ouuqFpEldqoOncPDw8aNmzI8BEjePLkCYUKFaJ2rVoMnzyLqw+fqm0rgSBtYw829kSZW9F8/CLm7DyKW7HC7Fy3Qu3CL22pVr0at339+BQQlCC0uqIYHWluz9dv32k7fAp3Hz9n+ZxppLO0SLT9Ib27kjVrVjYn4i2tSKyNI+tmjCE6NpbOY2bRp01j+rdryrRRg1k3fzqg3bvl1q1b8kgt69ev1/r4fyuurq7ExMRw796fGzHjT+HMmTNUqVIlrc0QEBAQEPiHqFq1qiBK/wKuXr2Kra0tzs7OaW2KgICAgMA/QpUqVbhz5w7BP5xZtUUk0TFeYdEiRejYqRP169XT6UBpze8misomn9Xh9/wlfUdN4o6PL3UquNGwSnla1KyYINSwKsIjInGqKJ0g69q2hdrjK/Lp0ye8vb3JnTs3Li4u8fLh+fj48OjRI5o3by7fJpFICAwKwtjICEtLS432/G7XXlvCjO0ICwujfPnydOvenf96jUqxtlMj9LauKArSil7Sihw/fhyPPn3Ys3s3RYsWxevADroPGcOS6eNp0aBOoseIiIxk+/7D7Dl8nJt3H6Cnp8e+fftwLVhQbR1d+svMJatYs3UXjy4e15gz592HTxSr3pCSRQqxY+V8LC0Sn6wGiIyKImuxCsyfNJqald3pNmgUDWpVo1OrphrrSSQSug4axbkr3uxZs4Siri5anxPAi9dvKF2nObtWL2LaguXY29mwbfn8xCtq4E8Vo2W8fPmSuvXqERISgomJSVqb89eyceNGFi1axO5dyQ/Vr45fPSao6/ua7EhsjE4uAViwfPlyli5bRsaMGWnUqBEtW7Qgr11CYV7RfplNfUZOxPvOPW4c36eV3XFxcZy+cAVDQ0OKFsyPjfXPxVLR0TGs2rKD5vVr4+hgL28nLCwM0+9fsLQwT3JOsqRcx9R6V6mzY8z0eew5fJxHl05ozPetDQ4upfjiqz7NQHI9nzWhTahv5WsbExNDterVKVKkCAsXLCAsLIwmjRpgZWbC5QUjiXsqXfyg0jP6hze196PnbDp+ka1eV6Seyi2bMnFYP0xT4D0dGByCi3stFkweTevG9TWWbd93KCfPXWL7ivlULqf94tkhE2fgfc+Xo0eOsGbNGry8vFi3bh2mpqbAz36jfO8u3rpPfY/RdGrVlMnDB8R7RrTpw82aNcPaxoa6deowZOhQvE6fJnv27Frb/TfSpWtXGjZsyIABA9LalL8WsViMvb09x48fp1SpUmltjoCAgIDAP8Lx48fp3bs3L168SGtT/momTJjA06dP2bp1a1qbIiAgICDwD5E3b17mzJlD/fqa520U0clTOjQ0lPsPHuAm/BGbbBKbpHXOlYMjW1ezcMoYPgaF0WPCXMq06cOc9TuZuXY7BRt2omjTbqzffyxBaOE6HmMBuOh9k4WrN9Bz2DgGjpsqD82parIsQ4YMNGzYkAIFCiSYlC1YsGA8QRqk3sP2dnaJCtLqjvcnYBkVyOvXr/kWHk7JEiXUCre68jsI0tpSo0YNnBwdOLR7GwBVGrbE3a0EOw8c0ar+tAXLGTFlNgYm5owZM4ZjR49qFKR1pap7GUK/hqnNRRsVHc2EOYuo0vQ/DA0MmDVumNaCNEBQcAgAuz2PUbNlJy7fuM3wybMI/LFdHSKRiAWTR5M7ezbqtuvKzoNHtT4mwOGTZwG488CX1+/ek06L50wdKe1tmFZkz54dKysrvL2909qUv5rz58+nqpf0rxKkZf1eV0E6tZ8XWfvGxsYMGDCAI4cPU6xYMTZv3kyNmjXpO2oS2/Ydokmn3uQrV4NuI6cSEBAgtznM2I7L12+x69BRXr99z9L1W+g/ZjJ9Rk5k0ZpNGIS+V2m/vr4+NSu7U6V86XiCNICRkSF9Ov+Ho4N9vPPPaBSNjbVVkgVpmc26XJdfLUgD3H/0hNIliuosSOtqc2oK0knF0NCQNq1bc/r0aUJDQ7G0tGTYiFHcefQU31fvMXBIH1+Q/uEVjY09MdbpefItjioDp3H0li8dWzVj7fzpjJ48nVirTClin52NNcVcXTh+9qLaMifOXqRplz4cP3OB9s0b6yRIAwQGBePn50fffv2YPmMG12/cYOPGjQnKKXtml6xQhakjB7F+x16ade1LRGSk1seMiYnhzt27nD17ltt37gBgkYxx/m+hZIkSnDt3Lq3N+Kvx8fEhJiaGYsXUh7YXEBAQEBBIacqVK8ebN294+/ZtWpvyV3P+/HkqVKiQ1mYICAgICPxjVKxYkfPnz+tURydR+tq1a2TJkoX06VM/1KAyyjlck+J586cJMwYGBrRuXJ8TO9dzdNsa8uVzZuba7cxet4MqbkUpkj83/acvYem2A/I6keb2mJhIPa2On7nA7KVruPngEV6Xr9OkswdzNuxJo7P585BIJOzZuxdTU1Py5ZPmCEyuMJ1WgrSVcXh8z2g1YbuV0dPTo1OrZmzatZ8ls6YiFov5FBjCi9fq/5iQSCQ8eOTHxDmLWbl5B82aNWPrli106tiR3Llzazyers910YIu5Mudk3GzFhITExtPJAgztuOS902Wrd9KxbKluHhoBwXy5tGpfVsbaxrUrMqNO/ext7Xh2Pa1AFy8diPRupYWFnhuXkWzerUYPH6aPAS4NqT/4a34+t17gkO/MrR3V53shj/znacJkUhEieLFuXLlSlqb8ldz+fJlSqSSKJ1SgrTyc67qR93x1X0/qKqXks+POrucnZ2ZP28e58+do3u3bly984ABY6cSGhFNy1atuXzlCu3atUMU9EZ+Du+//QwzPXneUk5fuMJdH19mLl5JnTZdCQwM1HgdtLluqbF4QNf7lVJoOpcnz15w+/5DShROucVSaUVSRe/69etjbGxM6zZtePnqFYZGRgC8iZTEE6FlQnSMdXo+65myxfMU9TzGoKcnwvPwEYaNm0yl+s3R09NL0f7TqnE9jnmd5+K1nwsrFfvM+NkLufPgIStnT2bGmCE6t1+/RhUypLfn7BkvFkweTZ06dTitkCpC8VjKYcO7tGnO/vXLuH3/IeNmLdT6mIaGhgBYWlpy+PBhmjRpgr3d3zNeJ5USJUpw9erVBIttBVKOy5cvU7p06WQtNhIQEBAQENAVS0tLChcuLPwtn4rExsbi7e1N+fLl09oUAQEBAYF/jPLly+s8xusUvnvSpEncunmT+fOTF0ZWFxKb2NJ1MvNPDSUtI9r/Dfr6epibSsMijlu8jkVb97Nh4UxqVZGuiJNIJIR/j8DC3IyvRrbSnMhiMTVq1uTbt29cu3r1l9v9J173PYeP03v4eFq3bs2UyZMT7FeVKzox0lKU1rhfg9huERnA4jWbmLZoBeVKFSdjtpzs3LmT17fOJwjP+S08nB5Dx3Lq/GWsra1p1qwZvXr2xNraWl5GsS/Int/k9I+7Po+o3aYLYwd58F+PfvH2HfL0ZODAgTy6dAI7G2vVDWhBbGws+vr6iEQiytZrgVuxwsyfNFqrutHRMZSq3YSaldyZOXaYVnVCQr/iXLa6/Pce7VtTvWI53N1KJOrN9zcJ0cqsXrOGhw8fcujQobQ25a8kODgYW1tbrnt7Y6elQKJO4NWmnK4ktW8n5TsiJQV0XRCLxQQFBWFnZ4dIJOL58+c0adKEUqVKsWTJEox/5N2OiooiXXQwhoYG8nfCUa/zdOw3jEULF1K3bt1k2Z2SY3ZavpM0nUdsbCyuleoSGBzCq5vnMTNVHW5al3FKU/ju1PaUTkr4bhlP/Pzo3bs3AQEBDBs6lHHjxzPUoxtjOzTCMOSzPO91uIkNh0540W/0ZKJjYihTpgx9PDxwc3OL115K9h+xWEzTzh68/fCRa0f3EGHuGO8YLu61aN+8ESP69UzyMSQSCXFxcRgYGLBh5z5GTZvDde/rWFlZxTuWOhau3sDc5evwvXgMC3Nzrfr85ClT2LBhAyCNSNSyZUvq16unVQSiP4HE0iOoIiIigsJFivD8+XOyZcuWWqb903Ts2JHMmTMzZcqUtDZFQEBAQOAfo3fv3piYmDBv3ry0NuWv5O7du1SoUIHg4GCt0j4KCAgICAikFE+ePKFw4cJ8/foVox+ODomhk6e0t7c3hQoXTpJxiaHsvaSNN3RSJjr/dMHGyDEr+vaZ5d4aw4cOpnaVCrTvOxSXCrUYO3MBT1+8IjA4hM9iM/lktZ6eHiYmJjg7O/9ym/9EQRrA3a0EJiYmhIaEpFibMo9l5Z/UbFtT+1Z6oRoFacuoQEQiEf26dWD36sXcuufD1cvSMJpnLl0D4KP/Zy5fv0Wn/sPJWaoKl2/cYfGiRVy7epWRI0aoFaRlvye3fxQpmJ+Gtaqx+9CxBPuKFS0KwMWHr5L17BsY/BR+6larxJFT54iIjOTF67ecv3qd7xHSsJ2qRAcjI0Ma1KyG56kzxMbGanU8a6t0TB89WP77yk3badalD/XadSc6OkZtvT/9/ZYYRQoX5saNxL3UBZLGzZs3yZo1K9ktNL+3E4tYouo5Tw5J9aZN6ndEStmbFJv19PSwt7eXv29y5crFokWLuHTpEkWKFqVNmzYcO3aM6OhoPn35Em+Riv93MQC58+gWESKxc0jK+fwqL2h1aHPvDQwMaN6gDgDBISmTniOt0EaQBvV9O6+zMwf276dYsWLMmDEDG6t0XL5+i0hze76Z2XDt5ReWHjhL7tLV6DF0LDVr1eLypUts3rQpVQVpkD4TYwf14c37j5zzeSXfLutbJQoX5MY9n2QdQyQSyT1Ha1epgFgs4eixY0RGRnL5yhXuf/gary8r9+umdWsRGRWlMcy4MkOH/PTq9vHxYezYsRQpWpRzOoa8+pswNTUlf/78XL+uPi+7QPK4fv16gmdWQEBAQEDgV+Dm5iaM8anI9evXKVmypCBICwgICAj8cvLkyYOpqSkPHjzQuo5OovS9e/co4OKis2GaSIoYndzj/U3o6+uzZt40Vs+dSuPa1dmwYy/lG7SiZM3GlChZUl4uLCyMR48e0aRx4zS09s/C0cGeunXr8vTZs1Q/ljrxWFvhOinCtq6hyN1Ll2Ddghm8/+gPgOfJM4yePpfiNRrTuFNvrt6+T/9+/Tiwfz916tSRh6eUkZrPXuVypXn45CnBwcHxtmfKlAkLCwue/biHKSGUtG5cj8ioKOYuX0vzrn1p3rUvPYeN1ShM165SgYDAYB4/e6H1cdLbJxQZbty9z76jJ4mKjlZZ5297vymTL18+Pn36xOfPn9PalL+Se/fu4Zo3l/x3VWkzdO1jv6pPJtXO1P7mSCqK51GxYkU8PT0ZNGgQQUFB9OnblyJFi1KiRmN8/X6+27yvX8fV1ZW8qbj4TNuw4L87Mhub168NwPPXbzSW/136iGxBomIYaW0F6cTIaBTNxrmTyJsrB8GhX7ly4za7PY9RsnUfarTsyKjpcylTtizLli1j7pw5ODo6yusm9f2gLUUK5sfW2oqrKiL9uOTNg9/zlyl2LEcHe+pUrcicOXNYt24d7du3p1r16rx69Spe/1bs71Y5ClDAxYWL125on2PcxES+qMTMzEy+ffKkSQQFBaXY+fxJWEYF4uqcg7t376a1KX8lERERPHnyhCJFiqS1KQICAgIC/yBFixbl/v37QpqOVOLevXsU/eGUISAgICAg8CvR09OjSJEi3Lt3T/s62hYMCgri/fv35M2bN0nGqSI5k1dJ9Zr6G9HX16dhrWpMHTmYZ95erJg1CYDIyEh8fX0BePtWmgM4g5nm0L+KiMVi5s2fTyk3N9atW8fatWt1/oD806+5nZ0dgYGBREVF/ZLjafJwToontNrjaClIKz9nVcqXZuaMGQDsO3KC1Vt24e7uzvFjx7hy+TL9+vUjV65cxMTEsHffPh49egSkfj+oULoE+vr67N4TP2d6YFAQ4eHh2NraptixcmbLSnm34vi9eEWcWJrb9fiZC5Sp24yrdx+qrGNrLQ0BGv49Quvj1K5SgYwZpCFT+3frgLubNM9vv9GTqN26CzExqr2u1QmJyREWfxcsLS3JmjWrTiuvBLTn/v17uDhrzvuuDZo8CnVtR5v6SenPmjyAk2pzagmyllGB5M6dm25du3Ls2DE8Dx2idOnSAExbvlF+zJcvXpAuXTqd2n706BEVK1Wib79+rFy1ilevXmlV71fnhdaFxMIGK4qKZhmlizA+fFK/0CWl3pfK+Yh1raeqbkoJ0rJzNDczZdOSOfLtHiMmEBAUxOYlc7ju7c22hVNpVrE4VjHBvLh9iSM7N2ERmbphyUH6B0459wocOHgQo7CP8cax1+8+JCs9hyKyvvFf80aEhITwJeDnuVWrXp0JEyeq/Q62sbEhNDJO5T51zJo1CwADfX26d+8OwKvXrylZqhTe3t5JOYXfBk055FV9h8h+L+Ccm/s6/CEroD2PHj0iXbp0ZM6cOa1NERAQEBD4B8mXLx8RERG8fv06rU35K7l//z6FChVKazMEBAQEBP5RChUqxP3797Uur7Uo/fDhQ5ycnOT51X43/lYRRleMjYxoUrcmz655kSdPHgYMHEhwcDDnzp0DoFypEhrrSyQSrl+/zqrVq/mvfXuWLl1KYGAgU6dNY9r06XTt1o0vX778gjNJe8KM7aherRpBQUF07dZN7oUr60+6ehr/qSgLTA4ODgAYGhri7e3N6lWryJMnDx8+fGDNmjUMHjyYSpUqMWzYMGbOmvVLnj0nx/R0aNGYpUuX8v79e/n2F8+fI5FIUtwrJEtGJ85f8ebDp8+MGejB6d0bcUqfnr4zlhEXF5fAW/rdx08AWofvFovFrNm6m12rFuFeugQLV2/E1+8Z1SuUA8DnsR8Hjp9K1jn8qe9EZ2dnfHySF6pVQDU+D3zIlztnkuurEyd1FSx1ETm17ce6Cqi6lksJUVbV94py2yKRCBcXF7Zu2cLIESM4efIkhw4dIjIykjt371Jai7CswcHBrF+/ntmzZ1Ovfn3evXvH0aNHmTVrFlWrVePYsYSpEP4UdM1j6+DggEv+/IyePpfjZy7odKyk3vOkitMpgTY2OzrYkTVzRgCOb1/H40snqVnZHQe9CI6dOc+wSbNo2KEn1Vt0pN/oSTx/pdnLPCUIM7ajj4cHHz58YNGaTfH2PXn2guKFCya7fcVrk9kpAwDbtm3DOWd2rh3dzegBvdm8eTMXLyYM0R0VFUVAYCDRMerTayhz48YN7GxtGTVyJF/Dwli1ahV1q1WS7x84oH/ST+g3RdPfY7Lrny9PLnweCmN8auDj40PBggXjpX0QEBAQEBD4VRgZGZE3b17hb/lUQCKRyMd5AQEBAQGBtKBgwYI6jfFai9JPnz4lR44cSTJKFckVRP5FwVkX0llasHDhQp4/f06nzp35EhCAkZERxkaGGutNmTqV1m3aMHPmTN69e4eeXvwucv/ePUqXKcO8+fOZNn06X758YeXKlQwYOJDcefJQomRJChUurDLE4p9IsWLFmDZ1Kr6+vjRp3BBR0BtMwgMwCQ+QC9O6iNOqyuvaRnJJ7rGKFi1K8eLFEYlE7Nu3j4GDBtGgQQOqVK3KrNmzefXqFdWrV8fWxgazX5jOpu/QURgbG7N6zRr5NlkI8YgI7T2UtaFIwfxEREq952tVdqeQSz5mjBnK05ev6T59OTcfPgGkfxys3rKTzgNGUK5kMa0nzs9fvc64WQvYvv8w4wb1ASAwOIRTFy7Ly9xKZg7NP5Vs2bLh5+eX1mb8dUgkEp4+fUqu7Fl1qqetKJuSQrAMbcb+5ArGmrz9Uto7WNf2O3fujJ6eHgMHDZKHtE/MU/qBjw9VqlZlytSprFi5Evfy5ePtd3Z2pk/fvnh4eDBp8mROnTrF/fv3GTZ8OI2bNCFX7txUrFSJwQr5cH8HkvotKBKJ2DB/KoXy56VDv2Hs9tROkFcVwlnTNlUoh+JW96MNsu8SXQkVx19oKmtncu/2ACzfuI3pi1bQvEN3ilSuQ4e+wzh74RI2ZkZyAVU5VUdKoHwtAXLnzk2XLl1Yum4zYd++/SwbHi5Pn6FL+5ruUc5sWbC0tCQ2NpbSJYqSM1tW+nb5D7dihRk/fjw7d+4k+kcajadPn9KiZUtevXpFp44dtTq+RCKhVevWdO7SRf4cAxw5fU5exv9LgPwYfwvaPBu5smXlzZu3vyxC0b/E06dPcU7F9A4CAgICAgKJ4ezsLPwtnwoEBgYSEhJCnjx50toUAQEBAYF/FGdnZ54+fap1ea1F6SdPnpAtW7YkGSWQNhTPKg1Z/ODBA8RxcURHRzN/8375/oDAQF6+/JmHLygoiA0bNtCzRw+ue3tz7uxZedjj+fPm8fzZM6ZMmYKtrS179+5l9+7dVKxUiVmzZ+Pl5YVEIiE4OJjw8HA+ffr0a082FZBNcndtVI3965bw5t0Hpi5YLg/dKBOm4aewrPyjDlVl1NVJKdFal3aUJ6oVJxDNzc1Zu2YN+fPnZ+bMmbx+/ZoCBQowd84cbt28yd69exk/fjxGRkZkzpgh2XZrQ5ixHenSpaNZ06YcOngAo7CPWEQGMH7MKABePriZosf7/l06AW6dLh15cmYHpEL15OEDOH/lOtW7DmXv4RPMX7me0dPn0aZJA7Yun4+JsXGibYvFYlp2l3pIOTrYkyt7NqzTWSYo17RuzZQ7oT+IHDly8OTJk7Q246/j06dPfAsPxyFP4QT7UkqU/VUC7+8YUjo10NPTo1ZN6XvAw8ODYsWKsWnzZr5+/QpIIzP4+voSGflTsNuwfj22trZ4HjrEs6dPadO2rXyfv881Dh44QAEXF7yvX+f06dP07NWLxk2asHfvXnkYnnfv3vH0N5lM0laMVu4Liosas2fJxN51SynvVoLpC1fw6u17Na0kjV/ZDzUJ08p2hIqt1H4TNK7mzuwhPTl86gy7Dh7GJp0FPVo24MbO5dw/sJYdc8ZRvHBBTE2MsbXWLWS8OptUifvKdGjfnsioaA4e9wLA8+QZXr99z6s374jSQsDVdgGNRCIhLCwMgDLFpbn5RCIRi6eNx8EmHWPHjaNjx468fPWKVq1bExERwfbt2+Vh9RPD8/DheL97dGqHgX78VXzlShXHVvxVq/b+FsKM7bDImg9jY2NevHiR1ub8dfj5+QmitICAgIBAmiKI0qmDn58fTk5OWFomnDcSEBAQEBD4FTg7O/PmzRutHQO1FqVfvnxJlhTMQfW3Txb/DohEIjq0bALAlq1bSZ8+PV5nztDbw4P5Cxbg5uZGterVyZc/P97e3vT28ACgWfPm2NnZIRKJ5JPZ3/zfYBkVSM2aNblx/TqXL13i2NGj9O3bl8WLFnH/3j3GjBmDtbU1AKampmlyzqlFgbx5GDuoD2u37WblkZ+hGxWFaVUoi9SKE+EOQU9UTqirE7Z/tUe1KmT2ZjSK5sSWFTz08WH/vn1Mnz6dRo0ayT+C/f39+eTvTwn3KvK6v0IoatSoEaFfwzh32ZvjZy/w8MlT9PX0GDR+Guc8d6d4dIWQr185dMJL/nv3/1px1+sQNlbp8Bg5gZlLVjGkd1emjx6CmamJVm3+10fqgWhkaEi3di2wMDdjWJ/u8v2Thg0AoG67btx7+ChZ9v+JUSayZsmidd5bAe15+fIljo6OmJiY/La5ghVRFeL6d7Y3tejatSsAvo8e8fz5cwwMDKjfoAHbtm2jWfPm1G/QgAIFCzJt+nROnDjBgYMHcXd3x8XFBZFIxGvfuwA4OTogEomwk4Rx6NAhbt64wflz51i8aBHDhg7F29sbr9OncXV1RU9PD4NU8I7VFV3eX7Ky6t7/enp6zBg9BD19PTr0HUp0tPZhmGUoL+ZSJLW97HUNB67KVmVBu0eL+nw4u4enRzezacYoRndvR94cWYmycCDS3J7b9x9S1LUAlhYWWh9Xk2e5NmTIkIFypYqz/+hJvkdE0mXgSABu3fehVff+xMX9zOmcnGsuFv/MG7108y65J3b2LJk4tn0dfTw88L5+nfbt22NpacmunTsp5OqqVdsPfHwYOHAgAEcOH0YkEjGkdxe5t3STOjWwtDDn8vVbjJo2948cp5ODnp4eWbJkibdoViBlePnyZYpGPRMQEBAQENCVnDlzCmN8KiCM8QICAgICaU2GDBkwMTHh9evXWpXXWpR+/fo1c+bOxdfXV75tz5495Mqdm46dOuluKYl7Tf2KcJlpQUqdR2RUFA8eaV5lOHvccK4d3U3hAvn4/PkzL1++5MSJE6xYsQIDAwNAKiCPnzCBe/fuMXXKFJwyZJDnzPPw8KBMiaI0ql09QdsZMmSgV8+e1KlTB5FIRKeOHXl88Rjp7e3w6NOHQ4cO8dXI9q+5d327/EfzBrVZsm5zgglg5UnDULGVfNJXeZ9imE3Zvyk56ag4Katsk7ZoI37r6enhIApXue/suXPo6elRrFixBPde1bmm1HPu7OyMa/68DJ00kw59h2FkaEicWAzA0Ikz+Br2TW1dXY55x0f6HrS1tmLwhOl8C/95HQwMDMiaKSNisZju7VoypFcXrdu9cO0Gp85LQ3T7nD+K/g/PqXZNG1LYJR9GhoaMm7VAXl7mLZYc/pQJ75iYGGrVqoWTkxPv3r1D/OO+CqQMb968IVOmTGltRgKUU3WoEhX/lD6cGhQuXJibN24wZswYQkNDefLkCe/evWPsuHHxFm/s2bOH3h4eVK1ShSGdWgDS69asfi1c8+dluMLCF9n1FIlE1KlThx49emBvZ0f27Nk5sH8/Q4YM4d69ewwdNozg4OBUPT91InJS7rmqOkEhoSxZtxmAPDmzs3jqOB49fc7Zy9dUjkWqtimO96p+V2dDSn8baQr3rXwMbRe4mZoYy8VSxfajoqO5cO0GpYsXkbev6VxS4jxlfaFFgzpc9L5JiZqNAMj7w/Pzys07bNp9QOt2NOH7+eeY7uPjwwbPM/HOMV/+/IA0l/SG9evlCzK1oVEjqd3zJo6iZA4HLKMCibXKxKhRozAzNWHf0ZOEfZMef/v+w8TExGrd9t9CRicn3rxJ/Vzl/xpv3rwRop4JCAgICKQpWbNmFcb4VEAY4wUEBAQE0hqRSKTTOK+1KP3q1SvEYnG8CciPP0I0f/zwQb5NLBazfPlybZtNEn+6wCmbDEvOeTx45Edut6oEhYQkWjZntqxMHCoNBxwUFARIw3rGxsaSOXNmvn79yvDhw9m1axetWrXCxMQEd3d3AAa3b8LBjStwdEjcC8cyKhA9PT3mTRxFjYrlGThoEMuU+sKfvuigYplSvH3/kUdPn6ucAP4UbiifjP7iL30+tD0nbT14NYUJ//L5E/OmjyU0ypzQKHN8n/kT9P2nh66myXJt0PZ+HThwgLJlymBvlzBkqqo2ldFVcFAsv3ruVLlIvHvNYkA6+Rv2LZzNew6oPL6mcKGqePvhIwDRMTF8DfvG2UvX4u1fM28aa+dPZ9LwAQnysmvCzNSEgvmc8b14HGurdHLbVu49zj3fx0THSL33jmxdQ5XyZbh+557WbWvidxf1wsLCqFqtGv6fP+Pk5ERUVJQ8h65AyvDmzRucnJzS2gw5ukQ0+N3HjdTGxsaGNq1bU6xYsXjbw8LC6NWrFwCNGjZk9uzZLFu2DIus+eVlsmbKiNeeTbRp0uBnvUSuZ5PGjfHo1A6v06do0awJoaEpH8FD+f5rWpSQVCQSCS279+PitZ/pHYoUzI91unQcuXQz3rG0EaNlBAV+oXldd55++J7gnBT/VTwvXdD1e0ldOWVhWp2orWr7ybMX+Rr2jSZ1aqgV7lPqu075GrVoUJu2TRsQEBhMv67tyZnFiUpl3WhStyZL1m6WL8xLbAGLputuZmYW7/+HjxyJt796tWrMnzePo0eOkD17dp3Op27dukwY2o92zRrKt4WFhTFh4kS5R3aTOjXYvWYx3yMi8PV7mqL9/k/AyclJ69XVAtoRFRWFv78/WbNmTWtTBAQEBAT+YWST1bKUeAIpw5s3b4QxXkBAQEAgzcmaNWvKekrHxcURGBjI3DlzKFeunHx7zx49WLZ0KRs2bPjZoJ4etWrV4tq1a6nuyfanCJmqSGyyMzFc8zvz+PJJKpYppVX5siWL8eL6GW6fOijfVr5UcRZPHkXe3Dn5+OEDrgULJrBREW1trFGpPFuWzaVH+9bMmzeP+w8eaFVP8Ti/672tV70K+XLnpHHHXqzafyqeJ/j79+8xNf05kengmEHlhLXi5K46ryZtvAMVkYnTuTOYMmjkZKyMpaKsS25HrE2+JyifmDCdnAnQZ8+ecfPmTZq3aJGgTXXHSonjyurmzJaFS4d2cO3oHkoVLYSRoSGRUVFkcsrAuw+J5zrXps+tmjOVNk3qy0O8zlyyimNnzsv3Z86Ygfo1qiASiXQ6h5t3fShdvAjmZqbx7Ni3f3+8clv3HuTMpatcv3Nfp/Y1kZoT3i9fvuTy5cvxtsXExHDixAk+fvyYoKyXl1e88cPc3Jzx48axb+9eTE1Nsba2/ivy1v9OfPjwgbjY2FT3fJWh7h2nqxj9u40RKUVi10f5OhkbG7N71y68r12jX9++8u01qlenYMGCfPnyhdq1askjpGi6xold/5zp9Bg/pC8ndqzn5Zt39OjSKUUnln6V+CYSifDcvIrlsybJt5mamDCsTzd27NhB9yGj+fT5i9r66haHWdvY0WfwGKxsbBK1Ibn9N6X6v+I3l0yE1uR5vWnPAUoUccXJpYTK/dr2X22ed+VzFIlEzBk/As/NqxjVvxfZMmfi1dv3VCrrxsfPnwkKSf4iCScnJ6ZNnUr27Nn5/v07N2/eZM6cOfIFGCKRiAYNGmBvr1vYdD8/P2kUGdcC8bZfv3493u/h3yNo3lX6HD97+XOV8d8kTMsWycr4+PEjJ06cICYmhvTp0yf4NhBIHp8+fUJPT4/06dOntSkCAgICAv8wGTNm5Pv374SFhaW1KX8VHz9+JGPGjGlthoCAgIDAP07GjBm1nq8XSbSYSfT39ydDhgz4PnyIsbFxsg1MLX7VZE1qT4Kn9nmEffvG7Qe+lC5eBGMjIwaOn8a5qze5cP58vHLaiNKWUYGEGduptNnv+UsadeqFOE7MiFGjiQn+hFgsplyp4mQtVFpnwU6VTWlBQFAwY2bMZ9+REwzq2Zleg0ao9IZVFH5lE9bmEV+4cO0Gx7zO4+v3jIjISAz0DRjZv6d8gYG66ynbJ0N27dUdMzE0he9U1ba2jBgxgnPnz3P+3Dn5+yIt71vdtt0I+fqV9x8/0aJBXWaNG5agTGLhxWVllPeNmT6PVVt2YmxkRFR0NMP7dGdQz85J6tvX79ynXrtuADSuXZ0VsyfzzUQ64X3kyBEePXpEgQIF6KMgOAF8fuit87HU8acIfLVq12bhwoXUrl07rU35a2jZsiXZs2WjR48eKdJeSj3zv0Of1OZ9/KuOqXx8deP03bt3sbW1JWvWrDx+/Ji69eqxfPlyalSvnmwPdMX6fUZOZNeho3Rq1ZSiBV14HxZNjuzZKVu2LObm5mrb/h3GcnVIJBI2HbvItGnTsLezY926dVpP8uTMlYtLFy/i6enJzZs3+fzlCxKxmKJFizJ27Fhs4kITXFfFBYra3ndltI1CklwsowJ58MiPqs3+Y+mMCTSvX1t+rJS8p7pEUDl0wouug0ZRyCUvvn7PeHrVC3Mz02QdS4afnx8NGzUiOjoaMzMzsmXLxupVq5IUVSI2NpZWrVtz584djIyMOH3qlDxlQnBwMNOmT6djhw706duX4KBAeQjvU7s2ULhA/kRt/ZvYvmMH58+f5+TJk2ltyl/DtWvXaNKkCR8UopsJCAgICAj8aiQSCaampty7d4+8efOmtTl/DW5ubgwePJgWSo4hAgICAgICv5Lhw4cTFhbGsmXLEi1roE2D/v7+WFpa/taCdEqTlhM/smMnZVJa3WRnvG0WFvE8rM1MjAlRCgOui5e0Ojudc+Xg8qGdtO45kGHDpEKgTLzLkzM74wb1oWytRmrbVUVKT3wmBXtbG1bMmkT+PDmZtnAFDx8/Zd6S5ZiYSMNkh4aG4uvri7+/P1myZiV3rlxI0qVj3/79rFi6mBev35ItSyaKFyqIhbkZD56+4r8+Qzlx/DiZM2fmf/bOMiqOZQnA3+LuxIW4u7u7643LjfuNu9zoi7u7u3tC3N3dPSQQILju+0HYu8AurLJL0t85nJCZ6e6anp7uoaqrCpTfZ1LGYkcTf63Cc8ei6vj3j3aMY9x+//49e/ftY/iwYUYzX4wd1IcuA0dSrUJZBvXsrPCaxMZUbF+sWbOGMyePkTVTRrLmK0TrVq0YM6gPKzZtZ+qowXz66sX0RStwcnCgS9sWasl49+ETOvUfRrGC+ahQugTzVqzj3JXrbFw8m9ylKlOvXj3q1auHdZAXeyuU4dSFKwAc3LhCrXYSIyUpu93d3fHy8jK0GL8VX79+pVixYlrVoY+5WZsNMtq2q+o1+pBP0zpj+6tw4cKyY7H5bv1VSPehqK7EWDRtPPlz52TinIWs3bZbdtzG2ooWDesyfNwko1kLVEUikdC0SRMKFypEx06dqN+gASuWL6d48Riv4KioKJ4/f86bN28wNTUlX758pEuXjg8fPjBs+HD27duHubk5JUqUIH/+/ERFRrJ12zbsHRwYMnhwgvbk+1id7z9l6Ot9iZVp9rLVZM6YniZ1aiQ4p+u2VLmXetUrU75kMX74+bN42gS1DNKxbQVYuvL27VvGjB2Lg4MDWbNkoWHDhuTMmZOWDepw7f5j5syeTbfu3en899/s37dPrXEdGhrKiJEjefDgAdOnT2fixIlUrFSJvzt3ZvTo0Tg7OzNzxgwABg8ezLChQwHIly8fHoXLEqBGGpDfATdXV7HG6xgvLy/hJS0QCAQCgyORSEidOjVeXl7CKK1DvLy8SJ06taHFEAgEAsEfTurUqXn58qVK16pklPbx8cHFxQWICbm6bPly0qZJQ/PmzWXXPHz4kH379tGhQwdZLgupVEpAQAAODg7q3oNGqKOIS0qBpm44QX2gbb7A+OeUGZqlVg7Y29trIGHSRmJnJ0eObl2N13dvwiMiSO3uxqVrt1ixaTsd+w9j8bRgmtWvpVZ/quLVmhwM6NaJfLly0GXgSFr+9RcdO3bk5s2b7Nu3j/DwcNl1JiYmuLq68v37dxrUrMqCKeMoUbiAzAs2ODiYcuXLs3DRImrXrs2tW7e4c+cO/5s2jbypbJQ1n2if2UR5E2yqXlhJVbj19DP7dm3mr3ZdyJgpCwB+UQ5E/HiFm5sb48aPx83VldatW8vKGHoTQelihXl0/qjG5WMV1reuXODyjdt88frGtv2HePXoLuOnziRNKncuXrvJ8lmT8fXzZ/K8JfzVuB52tsqfnTxXbt6hRdd+5M+dk01L5uDi5MimXfvx/uHL7fsPKVG4wH8Xm5mxZelczl+9gYW5OaWKFtL4vpKDy1eukDNHDlmI0+joaKKjo7l9+zYlSyadeuD+/fvcu3ePdu3aybzP3717h++PH/j4GK+nZUrkh48PLiqEG1aEvt/xxAxUmqaZSKotdcsYalOHOhu1NPkWU8U42LNjazr+1YTX7z6QK1sW3n/6wr6jJ5m/ch0vXr9l+4r5hNsbT75yVbAP86FQekfO7lpPpwHD6dSpI33+bo+jvR1rt+3m9bsPca53d3fnx48fZMyYkfHjxtGoUSPs7Oxk552cndm0aRMVK1TgxYsXnD17ltKlS9OlSxeF7auywTCx61UlfkSX+Jva5DedBVi6cu3kAY54nmXRtPGyUPD6RJV3y9TUlD1rk96Fm1Q7gZ9ecuVKzIYvV1dXtm/fzp49e/DImJ4dB47g5OTEmjVraNiwIVu3baNTx44q1R0WFkbnzp25d/8+c2bPpl69eqROlYpOnTuzfsMGRo8eHef6+vXqUapkSU6fPk2TJk0URuL5XQgPD2ft2rWUK1eO/HIphJxdXBKE9xZoh4+PD+7u7oYWQyAQCAQC3NzcxN/yOsbHx0fttDICgUAgEOgaddZ4lTRK3t7eMk+bU6dOMW/ePAAqVKgg2401YcIEbGxtcXX9T3kkkUiSzSCtCrpUnKfE0KTK2vL+/p2vX78SERGBubm52kr+pJTiEomENKn+U4RUrVCGSmVL0nXQKHoNH0e6NKkoU7xIivLUjKVUjYZs2pSJCf/+y7Bhw0iTOjX9+/WjZs2apEuXjmfPnvH4yRNevXpFndq1ZZ5WgXJ12NjYMGTwYMaNH8+uXbtkx4cOG8baNWuwtk7c6yckJIR//vmH5cuXA7+UyCbmOKLcazqx0N3K8I92ZN707ly+cBqf79+YNjfGS/fh/dv0aN+YDh06cOHCBVatXJmkzCkN+zAfRv/Tm8s375AhXVp6dGjNiMkzcXJwoH3zRqzctIPQsDAa16nB2m27+fTlK7myZ02y3vfBJvQYOpaiBfOxa9UiLCzMOXv5Gt4/fLEwN6dzq+YJykgkEpVzyRuasmXK8OTJE9kfSCYmJpiYmKhkkAYoWLAgBQsWJCoqClNTUwBmz5nDi5cv8fb21pvcfyLePj6ydV5VknvDSfyoIJpEk1C1flXRZDOcrte6pOoLDIxZcV69eiWTwSrImxfvPpEjc3pCbd2wCvrvfYqfR1iVjWDWVlbky5UDgKyZMzKo59+ULFKQpn/3ocs/I9m0ZHaKXOOdHB3YumwuU+YuYcHK9URFR1O3WiVmjhtBvtw5CAkJ5cGTZ1y6fotsWTLTa+gYvinw8OzWtSsHDhygdZs2smOnz5yhYMGClChRIsH18cex/HjXZCNGYmNP/nsgvmFaPhrKjx8/GDxhGpXLlqJFgzo68epWheTa9FGqaCEa16nOsdMXmPjvv0yfMYOOnTqxdMkSwuct4fz583RrUoPc2bPy4sULleudN38+N27eZNfOnRQuXJjIyEgm/PtvzLm5cxWWcXd3p2vj6iANgLD/jidH+iBVn6suZLGwsFCYMsLZyUkoq3WMt7d3nL/RBQKBQCAwFG5ubuJveR0SFhZGYGCgWOcFAoFAYHDUWeNVMkr7+fnJlNUFCxYke7ZspE2XLs5OrOXLl+Pk5CQzHOgTQ3te6hJDe2RLpVKuXruGi7MzUVFRuET/VNq+sjDhmjwP21BfFg3rzvU791m3bTdlihdRW/FoDOPAPsyHCnkysnfPHr59+4arq2sc76HChQvHCaOqjLZt21K0aFEiIiLInz8/R44eZeDAgSxbvpyB//yTaFlra2sWLlyo8JwmxmdlOJr4U712A54/e0SVGnXxD7PF0TIIj6w5yJQpE2vXrqV169ZUqVJFVsYYnpGuyJU9KxsWzqRt78EEBgbx79ABjJ85nzpVKxISGsqUeUupV70yAOEREYnW5f8zgD3nbrJj507CwsJYPnMSFhbmAMxZtoZihfKzb91S2TF9kdT79vLlS7Jnz65VG3ny5NGqPBBnXRk7ZgzXr1/H19dX63oF/+Hv74+jo/ah//WNKqGOFa0lus4LrUk5db1fddV2bA7RjM5xNwvlyByTzzYxg7Q2lC9VnF6d2rB03Ra8vvuQ+tfetJRmnLa2smLyyEEM79edqKhonBzlNls6OZI+bWpqV60IgJ2dnUKjtKurK4cOHuT58+fkzp0bgDZt29K3Xz/OnT0rS/8BxDE+qzre5c/HJ6lxFj8NRyzyx6Kjoxk2fDih4ZFMnj5LFukltl1djeXEDO6a3p+qmJiYsGDKONr1GcKAf/5h0sSJLFm6lE6dO1OyZElmzppFi6qlMDU1ITr4Z6J1SaVSrl+/zvnz51mxYgXDhg6VfQt6enry9u1btm3dqnBDQnKjbDypUk5f77KjoyMhISGEh4djYWGhlzb+NPz8/HDWMBqKQCAQCAS6xMnJKUH6QIHmxPalWOcFAoFAYGicnZ1VXuNVigkXEBCAna0tAOnSpeP48eOsW7s2jqHA1dU1WQzSfxr2YT5Kf7QlOjqaNm3a8PXrV8aOHRtHKQqJG5510b6rkyPtmjXi/NUbREdHy+pNrG5d3r8ucQj/QXYnM63CWebJk4eCBQtiYmJC/Xr1KFOmDE+fPlWprLZKO2X9Gb+vG7dox4mLDylVrS2OlkEABH19iq+vL9mzZ2dMvDCUuiLA0lX2Y0jKlijKrtULufvoCf4/f7L4fxM4evo8uXNkY/XmHTx7+RoLc3NWbtqusHxAYCBh4eG07DWE4SNGEOj3g1VzppE29X95/jKmT8uL12/x9VNtQ0FkZKRO7k0R2hqk9YG7uzudOnYk4GfiRgGB6kRGRhISEhIn3LAqyL+XhkxpEV+GWCOZKuuFss1WmsiRXKiz/h05coTOf/9NkcKFadW4vuy4OsZnbdbdPp3bAXD+6vU4xw3dh5pgb2cX1yAdD0UGVvl+c3FxoXTp0jg5OeHk5MSQwYPx9vZO4BEqP441llWFZ5VYJBV5g3RkZCTDR4zg7NmzzJw5k7RpE4Zijz8XxJdd0XlF96fJnKLNHBS/PStLS7YunUuRIkVYsXIlixctwtHRkU+fPuHv70/3oWPImikjh06eIfD9kwT1SaVSfHx8OHT4MG3atmX7jh20bdOGbt26ya5JmzYtJiYm3Lx5U2U5Y9d5Y/v21df3eOxaFBAQoPO6/1SSM52WQCAQCASJ4eDgINZ4HRIQEIClpSWWlpaGFkUgEAgEfzjqrPEqG6WtbVTLjypIPrQ1Uh8/fpzrN27Qu3dvGjRooDQUqqoGS02oXK4UPr5+DJ4wTWHdujbEpxSio6N58vixzKMqOZDv4/j9Hft7rLLa0TIIRxN/zh/ZTIuWLXF3c2PdunUKvb20RZly21AUK5ifYX26MWf5Wp6/esPwvt259+gJkVFRDJ04nfCICLbtO4zX97j3/83bh7IN21CkRhPu3rvHhPHjuXBgGxVKF49zXfd2f/EzIJAtew4C4OPrx9dv32Xno6KimLNsDcdOnwcga8mqpMpXitMXrqjcN4buQ22xtbXFXxildUZseGcbLdf5pAxPys6ratBSVQZd3oMitFmTknM9k0ql9OvfHycnJ7YtniHLTSvvGa1LFPVXKjdX8uXKwfBJM3j/6XOS4+F3QZWNfI8ePcLe3l6pkVfZOFFmzFUmg7J+la3niURU8fLyon379hw4cIA5c+ZQpXJlpdcqkim5n6s684myfgy1S83kSZMICQ6ma7duzJo5k5CQEKRSKecuX+fUxSsEh4SwfvueBM9o2v/+R6nSpZk0aRIeHh7cuH6diRMnxskLXT53Bgrlzc36dWuxCvRCKpXy/Plz2eZMgFu3bzNy9nLCwyM4deEy6QqVo3GnXkRE6G8TmnwfqIui8a7NplpLS0tMTU35KdZ5nREQEKD2xjOBQCAQCPSBvb29WON1iFjjBQKBQGAs2NvbExAQgFQqTfJaldw6w8LCsLCwIDo6Oo5ixVBoEyrwd0adUHrHjx+nb79+APRr0wiH8B/6FC0BsV5apYu5kjt7Vq7dvpcs7UZFRWFiYoJEIklwXBee/roKZ/jlyxd++PqSM43xhOCRV3Db48u0/81g1apVNGzYkEkTJ8b5EFbn/UzsfU6sL1XNe6gPBvfqQkhoKCs37eDhucM0bd+FU56ejJLzFH8fGI1Nhv9kXLn7GEFBQTRp0gRXV1eaNGlCnGSRv8icISak7v8WLidT+nRMmbeET1+9yOaRCVdnJ374+fPyzTtKFytM9YplCQ2LqWPqgqXsrR7jCamJgUJT9FVvYpibmxMeHp5s7f3uhP0aQ64EEo69zuvXRahrTctrMz+oUjax8a+PuUnVfgn9/IKhE6cDULVsSZyd4nrFKjJMR0VFqSyHOt+D/3TvRLfBo3n55j1V06dLcl5Pad93qj6T+GPlzt27pE+fHhMTE7XvOak2FRli1eX+gwd07doVMzMzNm3cSNWCWcEA870uUFfe7Nmzs3PnTqpWq8aNmzc5f+4cHz9+pHeP7nz48gWAr9/jvkN+fn6sXr2a2rVq4eLqSuPGjRN8a8aSM1sW7jx8TId+Q8icIT1rtu7CycmJ1KlTkz5dOk6fOQNA9xb1OHs5JsrA5Ru3uXX/AfnKplb39hMlqRDq6qCL0N+xdViIdV6nhIWFCQ8qgUAgEBgFFhYWwiitQ8QaLxAIBAJjwcLCAqlUSmRkJObmiackVUmjGBERwdGjRylWvDhv3ryRHVfF6q1r/jSPWX2xaP5cbKytuH5sD67OTgqv0WU/K/NMuX7nPk9fvsbSwoJb9x/G8RTRBcEhobLfX719T+7ytajYqLXMkAcwdf5Sitdsgo+vn07b1obAoJjQ2E6Zcui1Hfn3SVWPJvswH2ZMHMOqVasYM2YMc2bPlhmkNX0/k/JuSszjRldhO9Wtp32LJgSHhHDg+Cmy2EHXxtXp3KoZJiYm9OnTJ46Xe4ClK17fvpE5UyYmjB9Pv759sbOzU9jehh17kUgkpE+Tmt4jxvPpa0x+0ldv33P9zn1evnkHwKzxI+JspPgZnNDAreh+dYmh5mIzc3MiksjbLVCd2L401yL9gLGi6pwW34tP3bFtbJE9Tp67yBHPs0wbPYSlMybGOacodPf6fcdxKduITbv2q1S/MoO0ov5esnYzAEHBwXj/8DV43+gSZeNLlXH309+fdGnTGmV/PH78mHbt2pEpY0YOHjgQY5CWwxhl1pb4728uV0sqVqjA3r17MTMzo2gmF9YumI5UCtmyZaP/0FFxnvP37zERTTp16sSkiRMpVrSowjZ8/fzZf8wTACtLK9Zs3QXEGLWfPXsmM0j/3bo5WTJlwNH+vw1/Uqn++17T7yl1NyMmhbm5mTBK6xCRn1sgEAgExoKFhYX4W16HREREiDVeIBAIBEZB7HqkyjqvklE6OjoaX19ffv78yevXr2XHlXkA6ANjUPL+Ljx69IjHz18yf2RfPDKmT/b25ZVR7q4u2NvZ8ujZC+q07kLmYpWYsXglz1+9SaQG1fHz/y8s5cs37/D/GUDtqhX5GRAoO37t9j1O796o1DivDroy+p04cQJLS0sq5cusk/qUocjwG/+4VZB3nJ+dW7ewctMOZowbTudOnXAI/6GVMTopkqpX2zC6mtaTOUM6GtaqxojJs7h9/xEAk4YPxMHOjqtXrya43tXVlS9fvybwRoxvLH72+g3FCxXg2LY1smO9O7elWKH8AJQsUpBTuzaSM1sWAq3+My41adKEqKgojp84wb8TJ1KkSGFat27N1m3bdL6ByNDzsYmJic43sPzJxPZlcq7pyYm68/Lv8K2xff8RiuTPy9+tmyt8rqG2bnF+fgYFIZVKuXLrjsZtKpsX8uWK2VzVZeBI8laozYAxkzh/eLdCg1NK6ntVvJWVbQby8fHh0aNHlC1XTqWIIMnJjx8/6NmrF1myZGH9+vV4/AHRAJWNu77tm/Ps2TPGjRtHgKUrGfKXpHv37rx69Uo2b8Y+Ize3mPX406dPibb1/tNnQsPCOLF9He8/fQageYPa1KteWXbNginjmDR8IIBs7QcoWjAfdz74snbtWurWq0eFihUZO24cXl5emt24AVB1TEskYp3XJdHR0b/tGi8QCASClIVEIhFrvA4Ra7xAIBAIjIXY9UiVdV4lo7S5uTm1a9Vi+v/+R5UqVbSTTgNSkpIyJbBgdkxIzwaVyxikffnnmTVzRl5ePcXTSycACAsPZ/mGrZRv2IomnXpx8dpNrdpKl+a/MIc1KpXjjucBRv/Tm1Ru/ynF9q9fliC0qbro2gv1woULFC1alEjHhJsGDOmR5+P3k2FzVtK2WUM6/dVU47bV8crWN9r04aJp48nmkYkp85YAYGIiIZWbC7du3eLevbgh6WvUqMGPHz9YumyZQhkADnue5cCxU3hkSs/Jc5dk55es3cytew8BqFC6BAXy5JT135rVqwHInSsXFy9epHfv3mzYsIHSRQtDZBhjxozh+YsXQMxOpZs3b3L//n2NDdXGMB9HRkQkGQZEoDqxfelrqt08aIwYegOFuuhiLbl0+TJXbt6hXuOmKiso2tSrxtQBXZkwpH+S1wYFh3D5xm2Vw33PmTiK97fP06Zpgxj5rt+i84DhVKxQniWzp6nlDWksuafVlSG+gfratWuER0RQrmzZJK9NbubNm0dgYCBLlywhjVlo0gV+Y8qVLMbUUYPZsXMnT58+xT7Mh4zONgBs3LgxzrXOzs4UL16cpUuX4u2TcM6xD/PhZ0AgQ/+djpWlJS7OjrINmLsOHuOw51nZtX81qou5eUzkioqlS2BlaUmlsiWxtLCge48eTJ4yhWfPnlGxYkV27NjBvPnzZWXfvH3LlStX8PPz03FvKEZVL2lVx3TsdRGRkcLrR4cIrzSBQCAQGAsR4m95nWIuosgJBAKBwEiQReJUYZ1XyShtYWGBo6MjzZs3N4qc0gLFqKrANDWJCfl79d4TfYoTh8QUVhKJBBcnR5bPnMSVwzt5fOEYK2ZNJig4hGZd+rJp134eP3+ptbeniYkJ6dPqNhcf6MeTqUaNGty4cYM3b9/qvO74qCr/o5dvqdC+P+ZmZgzv213PUhmH8TMprCwtGdijMxeu3eTi04+YmZlxfPs6ABbMnsH79+9l1xbIn58mTZowd+5c/OU8+OVZvmErRQrkZfaEkVy/c48CeXIxe8JI2fkeHVrTp3Nb4L/+qVSpEs+ePqV69eqUK1eOunXrYm1lydOXr/j0JcZ76vWrV9y+fZv69evzV6tWNGnalAYNG3L06FF8fX3jyJDYpoewsDC8f8S93hCokptCoDrqhFf53TAGA6cidGGYvH//fpxUFYlhmz4bXbt3w93VJelrbawpW6JonPQByoi9BytLSwZ068TS6RO5cXwv5/dvpWGtasxfuY4h/Xtz49RhTP0+JXrPxvKsdCFHmTJlsLO1ZefOnQnOGWLtsw/zISoqiuEjRrB5yxa6d+tGunTpkl0ORXJp2x+Jpf9QhbZNG5IhbRpWL10IQJc2LejcqhlLly3j1KlTcb5Nx44Zw8tXr9i6ZYvCus5duc7dR0/YvWYx/j8DCQsPZ/H/JsjO58jqwdm9m+NsJjE1NeX+/fusXr+ZAEtXRowYQdrU7piYmPD0yRMiIyN58eIFISEhjB4zhho1atCufXsqVKzIrFmzeP78OVKpVOV7/vLli8rf2/p8J8U6r1ssLCxEOHSBQCAQGAXCKK1bxBovEAgEAmNBHaO0SgkkbWxsVFZs6gN1c5UJEieVe4wSqXG/MXx7VCPZ2k3qGTapW1P2e+M6NcieJTNVm7Vn0PipAGTKkI6CeXIRGRlJ5XKl6diyiUpKcX2j7L60Uda1a9uWzZs3M3ToULZs3iwzGilrS1HYbXWILadMaRkWHkGNrkOwsrbCc9d60qRy16idxGSUv4eU9L7Xq16Z3NmzMm3Sv+xfvxRbG2uWzZhIn5H/0rhJE04cPy4L69m8WTP27t3L/AULKFSwIOkzZMDRwYGimWIMQd+8fahWoQwhIaHsO+pJzcrl+Xd2jCLc3s6Wvn+3w87WFoCPn79y8fFV3NzcWLp0KeHh4aRNl44O7dvHhPE+flwm47EDe7hw/TYeHh5s376dsNBQFi1aRN9+/bC2tqZixYr079CC4oXygwLPytjc3T179eL8+fMM6NaRkf17GmyTUnBwsCyPuUB7bGxiPP9CQkJkv//OxJ+DFM1JyT0HJRXCOfYdjCWxOd/JMcbj/cCBAzSqXJoGtarpWFrViZU7wNIVtxyu1MxRiEAgd3YJ00YP4fLNOxz2PMthz7NYWVpSpngRrK2tcHZ0YEivrjh45FVYb3KvE7o2vjk7O9OrVy9mz5lDzZo1E+Rs1ifKxs6cOXPYtWsXY0aPplOnTgrLJufGgPjpNdSVQ5Xxoco15uZm9O/WkWETp9O6Yxcq5cvM2EF9uHDtJt179GDEiBF069oVgPz585M7d27Onj2LxMSEalWr8u3bN8qVKwfErPGmpqYUzpeHEZNn4ObqzOHz12Vt/dWwLnlzZgdijLLnrlwnOjqaK49ec/HiRdzc3SlWrBgbN22heo0a3P0VkeXOnTsMGTKEs+fOMWbMGMqXK8e+fftYu24dS5ctI0/O7HRo0ZhWjetjj0+cbz75Pj177hxdunQB4ML586RLl04v37hJERERQXh4OLa/vncE2mNjY0NwcLChxRAIBAKBgKCgIBwcHAwtxm+DWOMFAoFAYCwEBQVhZWWlkr1AIlVhO/ySJUvYs2cPK5Yv14mAmpKSDFWGQFUF0cubF6jVqjP1K5VhzZJ5+hVKTeQVZZGRkRw4forcObLx9Zs3x06f582HD0RHRXPh2k2KFczHitlTyJgurYGlThxNFXe3b9+mbdu21KlTh1mzZuEYoZ6Hqi7zqB44foqug0axbdk8qlbQPOy7MRh/9MHVW3do0rkP3bt1499+nQF49vI1FRq1ZsXy5VSrFmMU8vX1pU+fPty5ezfObtYsWbJQokQJduzYwYpZk6lavgw5y9aQ5WBwcnDA7+dPJgztT+9OMZ7SbfqPwvPUKYXhmv43bRojRsZ4WFuYmxMeEUGGtGk4vXsjTo4xfwBKpVIeeQXh6enJ1m3bePPmDTmzetC8QR26tm2JnW1C4+Tag2cYPmIEAHWrV2bd/OlxzieXwWLevHkEBQez+lfocoF2SKVSLCwsOHH8OJkz6y6Pvbrvtqrzg77HmTEZpBWRlIHOMuArlZu25eWbd9w6uU/tNfK7zw+VPKbVQdmzvffoCd+8fciYPh2nLlzm0vVbADx48pyAwCCmjBxEwzadldary2eli3GVNVs2Xr96pdK1UVFRtO/QgWfPnrFj+3ayZcumdftJoex9CgsLo2atWnhkzsz69esVlkluT/Wknm1i8uj6HY6MjKRhx558+vKVs3s24+zkiFQqpWX3/kRgxsYNG2TXLl++nG3btvH+w4f/5LG3p3atWuzctYt0aVJx99RBBk+Yxsad+2TXuLu6YGFuzp1TBwC4cPUmzbr0UShPr549ZalA7O3tCQgIAGD6//5H8+bNZdcFBARw/fp1Dhw8yJEjR7CysqJmzZp07NCBggULJuin5z/CKV+hguz/V69cwd3dXem40cUcrwg/Pz+KFS9OYGCgMEzriKFDhxIWFsaCBQsMLYpAIBAI/nDatWtH3rx5GTVqlKFF+S34+PEjGTNmJDIy0iicdgQCgUDw53Lz5k3q1auHl5dXkteq5Obm6OjIz58/Zf8PCwujd58+eHt7y44NHzGC3Xv2aCCu6mgazlK+nLGEf9Q1qt5XZGQkHfsPo3C+PMye+q+epVIfeeVniG1qmtarRd6c2alavjQzxg1j58qF7F6zmIMbV/D9hy+NO/bi7YdPBpY6cTRVjhYtWpRZs2ax/8AB1q9fr5HhQp0Qlcrq9zV1ZMnazZQuVpgq5UurJYN83YY0SIeHRxAQGKi3+vOVrU7//v1ZuWoVm09cJsDSlUef/QDIkyeP7DpnZ2e2bNnC40ePmDZ1Kps3bWLOv6Pw+vqFHTt2ADE5LB3s7firUV1ZOb9f8++EmQvwM3MiwNKVTp06UaxYMXr37s3kyZOZPn06DRs2BKBs2bIULFgw5t4jIrC3s6VqhTKEhP6XH1QikZA5c2a6dOnCiePHWb16NQXy5mbu8jU07dwbP///5vxYOjeoQtbMGQE44nmWl2/e6bAXVScgMFDsrtYhEokEBwcHmWHDUKgaXjexcLzahOk1VP5pXd6LfZgPS9Zt5t2HT6yeO01tg3RUVBTHz1zQ5naUyqWIQvnyUKNSeXJnz0qfzu3YsnQuW5bO5dLB7TSpW4OB46awaflCpfXq4ptQF9+G8s9G1WdlamrK0iVLcHdzo1fv3oSG6jd/c2Lv05EjR/j48SNDhw5NcN4Q387avIfqlFX13szMzFg1ewoBgUH0HfUvPwMCkUgkvH77Ic4aD9CjRw/OnDnDvn37mDlzJhvWr6dkiRLs3LULgCrlShNg6Ur3foPilPvu84NPX724fOM2AMUL56de9co0b9aMKZMnM3nyZCZNmgSAqZkZc+fOjbmHgAAkEgn58+fH1c0tTuhte3t7qlWrxvx58zhz+jTdu3fn7t27tPzrL44fPx7n3gMsXUmbNi2TJk6UHRs/YUKSEXrUQeXv0YAATE1N/4jIHcmFo6NjsuUZFwgEAoEgMX7+/Cn+ltchjr+iZMnr7AUCgUAgMAT+/v4qr/Eqhe92cXGJkwM1JCSE169eYW9vLzvm7u7O8OHDSeXuTgW5Xfb6QhsFmaKwdX8KHz584Ou370wa/g/OTo6GFkch8mFKlT2rUkULcWD9Mpr+3YfKTdpQskghalWuQJe2LZJdXlXQ1NOoXr163Lp9m5mzZlGrVi1yuVpq3L4qbcfv7wBLVw7s3cvtB4/YumxunDyHysooa19RmeTCwsIcMzPNdo2qKmu3rl159eoVAwcO5OmTJ6RJkwYLc3PSpo0xCsUPk9myZcuY40VyUKZ4ESLtU2Nubo67Q8xeoXy5cihs59mzZ+TNm5cyZcpQpkxcr/XmzZoxd84cAJYsXsx3b28+ffzIunXr2HP4ONv3HaZjyyaM6N8DO1vbODI1KJ2fBqXz8+BJW5p36cPwSTNYPmsyHz9/5ev37yxbv5VL12/h4+snK/Pw6XPGz5zPhoUzMTU1VXmcaYufnx/Zs2fXezt/EvHX+ZRGYl57v+tmNFAcivzqrbsUzp+XBjWryo4fP3OBGpXKJRlCx8TERBZNQZ9yxh5T9swc7O2Y8+8o3FycGT9zPjsPHiV7rjyMGDECd/eE6SMUhTZPrG1dosrap3SddHRl9exJ1GjRkcVLljB40CD8ox1xNNH9u6isvyMiIpk6bRoVK1YkX758Om9XH6gS7l7T8spIlyY1y2ZMoveI8VRr0YED65fx2esbHkqiSxTIn58C+fMDULx4cR4+ekQWDw/Z307Ozs6yHIAmJiayyCgrdhykQPka2OPDgmWrEtTbpnVrAKKjo3F1dSVTpkwsWLCAGzdu0LVrVwoVKsSokSMpXrx4nHIZMmSgX9++9OzRg8FDhtCvf3/OnztHpJsbN2/e5OOns0yeNJGAwCBZmUzuTnQaMJx2zRpSvWI5tftMEap8J/j6+eHs7Kzwm1OgGS4uLvz48cPQYggEAoFAgI+PD66uv+/fZ8mNnZ0dZmZm/PjxA2dnZ0OLIxAIBII/GHXWeJU8pd3c3OL8Ievk5MTRo0extPzPQDZk8GCePX2aLAbpPwl5Lw5l3j3qKNc8PDxwdXVl+/7DcdowNhQplePLmS5Nao5sWU3/rh0JDglh5NRZPH35OjnFVBtNPOAGDRyIVCrF88DOOMetgmIiFSh7frp6rgcPHqRkiRJUq1BWZ23IK+qTywsrMWOMLt4tS0tL5syezcgRI1i+YgVLly1DYmLCoMGD2bdvH5GRkbJr4xuoU+UqQrp06XB3d5e1+cXrOwDOjg6sXzhDdn2aNGlUkidt2rRYWlrSt18/8uTJw8WLl+jVuzcbdx9gxuKEiu5YCuTJSefWzdl79CTN/u5D296DqNumKweOn5IZpDOmS8vjC0e5cPUGJ89dYvayNSr3ky7w8/WV5ekW6AZXV1d++KqXIiApEpub9BHBRFF9qtad0japJdZvRUqW4cbd+3h9/++ealYur1pOF4mE+jWqqNS+qjImZUBUdo1EImHUgF5sXDSL3DmycuLkSebOm6dWu7rygFa0TuvCC98+zIfc2bPSpmkD9u/ZTXR0NI4m/vhH62fToKI+uXDtJj9+/GDI4MFGYwRMbE1WZ4OdsjqVnUuKmpXL47lzAxEREdRu252oqCh2797NtP/9j69fvyotZ2lpSbGiRXFxccHc3ByI+WMtNvXGpIkTcfmlRCz0K8pJUvKYmJhQrmxZevTowZ49ezh29Cgb1q8nKiqKrt26EagkOoy5uTkjR4zA1NSUuvXqMWTIENq2a8fw4cPjGKQXTxvPkF5dOOJ5lja9BhEYpHquQm3fP7HG6x43Nzd8fFLWOicQCASC3xNvb2+xzusQiUSCm5tbnEimAoFAIBAYAnXWeJU8pd3d3fnx4wdRUVGyHBWKFFcpKX+FsSqg9W1glEgkuDg743n+MmcuXaVKudJG2xeKvCnie8C4ODkyqOff9OzYhpxlqnPh6g1yZ8+a3KLqBGXP2M7OjoJ5c7HjwFF6d2qLRCKRGaRj/40tH19hrgtZvn//TlRUFMEhodhYW2lcZ3zkn6+uPGz1ld9QVSQSCV27dsXU1JR58+cTFhbGq5cvOXDgAJsL5KN21YocPHEaExMJlarWoEWLFqRLl06hXP2GjaZk0YLkyZEdj4zpOb17I9Zps+Hionqu1+3bt8cKhr29Pf369iXg509279/HxGEDlJYb3LML4eERLFqzkbSp4noljh3Ul86tmmJna0ubZg3ZuGs/s5as4tL1WyybMRG7TPrfYODz44dCb0mB5ri7uxtUYZ2Yp2v88+rWp6k82qY+UBddtef8a46YMGsBCyaPxdzcTOfGRn1ERVDU54FWbpSt3ZhaVSowaupsTp6/qLP2Ehtn6kT+0AVlihdh7bbdvLp1kRwlKsoM0/rwmIa4Y+jb95jviEifj0DK8JRWBU3GpyrP3yNjerYum8fw/y3gy5cvvHn7lrfv3rFmzRratmlDWFgYFy9domTJktStU4dq1aoprCdDhgwcOniQ79+/U65cOerVq8ez588pVrSoyvKGhITw7NkzIOb7o1y5cizNkoUKFSty9tw56terJ7s2zj2lTcuB/fupXacOBw8dIkOGDHz8+BGAgnlzsXjaBHL9+pZ2c3XG28eXKi060btXL5o3b55o/yj6bo9tX9Vn4uPjI5TVOsbd3Z1v374ZWgyBQCAQCPj27Zv4W17HiHVeIBAIBMaAOmu8Sp7SadKkITo6Gl8de1EZEn14aaUUtmzZQuXKlWnXezBPXrwytDiJoqry18baimKF8nPpVy6+lEhiXld/d+vJk+cvufPgcaJ16GNMd+7cmefPn3Pk+qME5+RzaGpC/Dyc2qLovdaFF7SqxN5P75Z1sbOxBsDSyoqyZcty+8Ejps5fysOnzwkOi2TtunV06NiRkydPKvSwMjc3p3ydprhmj/GaylyoDKlSpVJLnr/++ouSJUrQr29f7MN8sAv15tObF3z3+UFgUFCC6794fWP/MU9+Bgbi6uIEQJN6Nflw5wIHN67g/plD9OvSHjtbWwCKFcxP51bNkEgkXLl5h0JVG1Cnbl2uXbumlpzq8v37d1lYdIFuSJcuHd7fv+u8XmUGiqTKJPcarci7OilvTV3Lpqv2Wv31F9OnT+fA8VMMm7FYZ/IlB4l5uZctUZR3Hz7x+fNnjetXNV95clO7akWyZMrAik3b4xzX1GNaHQ/uejUq4+rkwKylqzVq63ckqXcwQ/6SVKpUCYgxDLf66y+io6PZuGkTO3buxN/fn8ePH9O9Rw+WLFnCnTt3ZOG55cmdOzcVKlTAxMQEe3t7ihcrptYGEktLS7p3787w4cNl0asCfnlIv337NsH1ERGRnL5whWfXz5In1X/5mrdu2cKVwzs5vm0tJ3eslxmkAyxdWbV6LQDv3r1j+IgRtG7dmr4TZuGNncJ+U4Y6c+W3798VbtgTaE7atGn58uVLnJzjAoFAIBAkN6Ghofj5+Ym/5XVM2rRpE43aIxAIBAJBcvD161eV13iVjNJWVlY4OTom2Hl15coVypUrx8yZM9WX0sj4k4zTLi4uLF2yBFc3N6bOW5riFBTKnpNEIsHESEJP6ppG5Qpja2PD+as3EpyT95ZWhLZj2+qXojM2pGR8dOHVmFhd2qCJHOqEVo9fLhYzMzPunznElJGDCAnw5/Lly7JzObN6ULZcOapUqcKbN2/o2asX5cqXZ/iIEfj5+TF7zhwaNGjAjh072LN3L3PmzmXd4XN069aNffv2ATE7j86cOcOcuXN5+vSpUply5czJoXWL8PilOz5z8SrHzlwA4J+xUzhz6ars2mnzl1GkeiO6DR5NoSr1+ebtg5urM57nLgExedzTpEq422n62GF8uX+ZMQP7UK9ePZ4/f06btm2ZOm0ahw4fTnC9tkRHR/P9+3eVw5gLVCNt2rR804NRGpI3TL82pAQZVUEikdC8WTMG9O/Pzl279JbWQtX5OiIigmPHjsU5NnjIEPbs3avw+sTCeUPiqRhi5dJ0HjcUVpaWNKhZlfPXbiX4JlPXMK3uRi97OzvMTE0plC+3Wu0kB8b8/Lp368bJEycoU6YMGzZulB23sbGhUsWK1PvlpTx7zhyat2hBocKFef78OefOnaNN27YMHjyYy1euMGfuXNZv2MCMGTPo06cP0dHRhIeHc+/ePdatX8/GjRuVfqebmJgwfNgwunfrBkBkZKSs3S1btjD/V8QWgAdPnlOqTjNa9fyHum260qRTb5rWq4VEIuHx48dk88hEkQJ5ExjFC+TPz4vnzzl39ixVq1bl5atX7Ni5k7z58jFr/W7eBup+7vz+7ZtY43VMmjRpCAkJ4efPn4YWRSAQCAR/MF+/fsXExERERNExadKk4cuXL4YWQyAQCAR/OF++fFH5b3mVwncDpEufnq9fv5I3b17Zsbfv3vHVy4t9+/YxdOhQ9SU1QhQpVYxNEaYLLCwsGDduHL179+bE2YvUqpKycoHHf042wd94+PQ5fTq3M5BE+sXMzBR7O1uexvNsN/eL2SgSapvwo15XCsKoX949MTmRzZO8Xp2wt4rQNCysfJ5qTcrpg27t/qJbu79kuZjvPXzC9uPnOH/+PN++fcPCwoLw8HAAdu3axfXr13n//j0AI0eNSlBftuzZmT9/PgsWLpQd8/LyYvr//qeSPE9fxRinrCwtuf3oGUdPDWbkgJ5kSJuGBas38Fejugzs8TfT5i9l295DrF84g4YdetJt0CiWTP9X5iEdHxMTE/p37UCApStNmjSha9eubFi/nojISMqVLYvzr1yZuiA2nLzwotItGTJk4NSpU4YWQ6BDOnTowL59+xgxfSH7Vs7Vef3K5lr5VC9Tp03j1s2bfP36ldq1awMxG0sOHjxI37591WrrweOnuLk4k93JDIncfP+7fKM5Ojjg7e2Nz48fuLkm7+aIKGK8aPURll0bjP35Zs2alTWrVxMREYGPjw+hoaEcPHiQCxcvcvXaNSwtLWVG4eDgYJYsXcrBgwdl5c+dP58gCtWVK1cYOmwYXl5esmP169dXaR0NCAiQGbDNzMxYvnw5zx7cpV6NKhzxPENQcDCndm3g89dvdOw/jOYNavPd5wcDBw7Eef16paHDTUxMyJAhA9sWTsPP/yf5K9UlPCKCGTNm8OXLFyaMH6923yWGl5cXefP9PqHkjQFHR0dsbW35+PEjjo76yVkvEAgEAkFSfPz4kXTp0qWo1I8pAflULAKBQCAQGIqPHz+SIUMGla5V2SjtkTkznz59inOsQf36vH37lsq/Qtj9rqijoNNUeWYIJWCtmjUpVqwY81etp2bl8jrPOakrVFGSzt20j4DAIKqWL51MUiUv36W2fPP2IW+uHLJjsQZp+M9bOql+UtSXSXk6V61SBTtbWw7v3Eye3l2TlFUXCmRNDcyxZRMrp02ocXmSyj0pL4NFmpjfS6TJRonq9WXHpVIpV69excvLi2rVqjF48GDev39P+XLluHgpxkM5f758ODs7U616dfbt28fdu3dl5f/55x+6/P13onLLy9m7U1t6tG+FqakpP0wcGNi3J1PmLSUqKgonBwdaN6mPR8b0jBvcj1MXrzB72RqKFy7AsTMXyFm2Bh/vXFTqpRjbTulSpQCIiIwEwNPTkxYtWiQqozp8+vSJNGnSyEKVCnRD5syZtQqLLDA+bG1tGTBgAP369+fOg8cUKZA36UJJoMqcLP8t0b1bN1ZKJHG+E01MTHj+Kw+uqnz58oV12/dQo1LcbxVjNliqy/tPn3F3d8f1V07w2HzS6npKy8/5qq6lzerWYtehY0wcNgCMbGo1JiO5MszNzWW7gfv160e/fv1k575//47nqVMULlSIt2/fcvDgQcqVK8fTp0/x8fHB3d2dzJkzU7hwYVxdXOjQsaOsbOXKlRn4zz8qb+xydnbm+bNnOEb4IpFIOHTyDAPHTeH42ZgIKe2bN6JAnlwUyJOLVo3rMWnOIgb37MKFqzdo2bIla1avloUlV4aTowMdWjZm1eadAGzcuFHnRulPnz+TOXNmndb5pyORSMicOTPv3r0jnzD4CwQCgcBAvHv3TqzxeiBz5szcvHnT0GIIBAKB4A9HnXVepfDdAJk9PPgYzyhtZ2fHyBEjKFOmjHoS/saomhPSWHJa9+rZk5t3H3BZg1zMySl3fMWzvJL25MmTzJw5k35d2lMoX55kk0lfKFKyW1tbU65cOQ6fPKMwL6E69crXn1hezVjs7OyoWasWS9Zt5uPn5M1To2rY7PjXKSqn6/CfidWn6rshkUgoU6YMjRs3xt7enhUrVvDq5UvGyyl4/fz9WbduHbly5pQZpLt168aTx4/p17cvNjY2SmpPKFOApSvBNqkIsHTF3NycRctX8+7mOZZOn8itk/soXawIAOnTpmbtvOlcvXmXW/ceAhAZGUX3IWOSbMfKyooihQvL/n/u/HmNx6wiPn76RMaMGXVWnyCGzL82nunyWQkMT61atciSJQszV21OtjblN664ublp/J0Yu84HBgbSo+vf2FhbM35IvyRKpVxqV6nA9+/fuXXrVpzjscZpdVC0Jia2ZrVoWAcfXz/mLF+rdluCxHF3d6d1q1bkyZOHOnXq8OrlS9avW0eF8uWBGKN1j+7dGTliBHv27AFivF3OnT3L6lWryJ8/v1rtOUX6yTZu1K9RhRdXPDmyZTVHt6xm9r//RWCZNnoIhfPnZfK8JbJjf3fpwuvXysP9x35HFCwZI3ussdzbO/E0Mury8eNHMmXKpNM6BTHrvKJc4wKBQCAQJBdv374Va7weEGu8QCAQCAxNYGAgPj4+Kq/zKhulc+bMyft37zQWTGCcVK5cmUL5cjN1/jKVckvHN6Qnh2FameHeP9qRd+/eMXDQIOpVr8yoAb1ShEdNUigLId+jVWPuPHzMnYePAYhwSiX7iQ3fnZjRVf7ZqWKglT8/bOhQAoOCuXgt+XdfJqZcT+weDJmLUts2s2bNyuNHj9iwYQNTp04FIHfu3HTv3p3FixYxbOhQLCwsFJb19PSkaLFibNq0SaV3etjMJfQaPo5rt+/GedcqlC6O5871TB05mIa1qgGQIVsuhZtp5H+XSCTs2rWLB/fvA3D06FFevHihWUco4N3bt+TKlUtn9Qli8PDwIDIyUuSi+s0wNTWld+/eeHp6cvGpdiHdkmt99Y92jLPxbOSoUbz/9JnNS+fg5qK7VADGRqUyJfHw8GDTZv1uIIi/LloFeVMysxsNalbl6Klzv5X3ubEikUiYPXs2np6ezJgxQ7Zpo2fPngwbNowd27crDXnl6+vLX61a8XeXLrLoFol967x4/Za6bbowfPKMOMetrazYumwey2dOYkC3jliYm+Pq6oq9vX2S8terV49XL1/K5J49e7Za958YAQEB+Pj4kCNHjqQvFqhFjhw5dPo9JhAIBAKBurx48YKcOXMaWozfjhw5cvD69etfKfcEAoFAIEh+Xrx4gZOTE25uCVPMKkLl8N05cuRgSTLtvFIWJlegeyQSCYOGjqBjp04cP3OB2lUrxjlv6L5PrH1HE39mrlqFjY0Ni6ZNwMTEJMUrU+XvN/69pE+bGojxWFWUQzp+eUV1JEZsCHBFdVtZWQFgbW2VoL34bWzff4TihfKTzUN3O2BT6nPVKrc2ULvYL+NrmA/2ljB5QJdE34n379+zaPFi/P39GT9hAvv27ydHjhwEBgYCMGvmzDhhrwMDAzl06BAAp248pFSNhsB/4yhdPlda5itBy79BUUbaxGSxsbHh4oUL/AwIIJcO//B8++4dRZXkvRRojoWFBR4eHrx584b06dMbWhy9If9OGnp9Sy4aNWzIypUrmTFzJuVWzVM7VYcm/XTp0iWcnZ3Jm1e1kOGxeajjh6p+8eIFR44cYd6k0eTJkU1tOVISZmZmpE6dmqh4yiR9fxPHrvk21tYJ1nhFvHnzhjt379K0SROdypHcqLI+63uOyOLhQRYPD9n/GzdunOj14eHhHDh4UBaesUnTppQpUwYXG3Oev3rDoJ5/U6lMyThlNu3eD8D9x8+IjIzEzOy/P/1srK1oUrcmTerWpP/wsSrJLN9vy6eM5HGHFuTImpmkt8Cpxpu3b3FxccHlVxh7ge7IkSMHR48eNbQYAoFAIPiDefHiBTVr1jS0GL8dmTJlQiKR8PbtW7Jnz25ocQQCgUDwB/LixQty5Mihss5RZU/pPHny8PbtW8LDwzUWTlNSqkFKVQx9f+XKlaNs2bKMmbmQkNBQ2XFVlXHahiCPNYYqqlcZjib+nD9/np07d9KrQytsVFCkpmSkUikLVq7Hwd6OPDmyqRQGXpNxpczYHWvI/BFhmqi3/PU79+k36l+adekjwgAnM56entSqVYsHDx4gkUjo0KEDVlZW7N27lyNHjnDkyBGOHTsWp8zOnTv5+fMn7u7u3L13T+cypU2bVqcGaYBXr16RO3dundYpiCF37ty8fPXK0GLoDUOvtYbC1NSUoUOGcPXqVXacvi47rq/0IZcuXaJjp040adqUHz9+JHn9t2/faNKkCXeef8U/zBb/MFsO7tmGv58vI0eOJH369DSvX0fnchobZx6+5caNGxQrXlzrujRJEWNtZUVISGiS17Vr146hQ4dy/8IJbcU0egwVbUURQUFBtGjZkokTJwJQskQJqlWrxo3r19m65yBXbt5h4uxFccpIpVKWrtuCi1PMZo+HTxN6yWozD1haWFCkQF7sbG01Kq+Ily9fimgoeiJPnjw8efLE0GIIBAKB4A9FKpXy+PFj8be8HjAzMyNnzpxinRcIBAKBwVB3jVfZKO3h4YGlpSVv3rzRSDBVSSzHrTr5ZZX9GBPyMhlSRolEwr8TJvDlyxfmLV+XQD5VZVJXqWUV5C0zSCszTCttKyCAHj17kt0jE706tlGrbEpk39GT7D16klnjRyBxi0kYHz/EqbYoM0hDjBelRCIhIpFwQF7fvZnyKzfh56/fOPf4vcrKTmPKs55S8PHxISgoCIjJ59ijZ09y5srFyRMnePTwIePHjWPTxo0cP3YMZ2dnHB0dqVSpUpw6rly5Qq5sWejTqTUPHjwwxG2oRWRkJM+fP6dQoUKGFuW3pGDBgjx79szQYgj0QJUqVaherRr/TpzI10grldM4aDIXp06dGlNTU5xcXAkzd5etVaNGjyZb9uwsWrxYdm1ISAhtO3Tm7bv3RJunkh3/+uUTzeuW587du8yYPh0LC3O15UhJeGPHwIEDKVasGG3bxHzTKHo+qjwPVb9749dlaWFOREREonVv2rSJr15eAKzdtjtJWXSNrr6VNSmf3N/nERERsvDcAAMHDuThw4ds3LiRq1eusHXrVqZOmcLFixdlHtbtmjeKU8eVm3cAWDRtPBKJhLuP/lNUavKtpawPdPnN9vTpUwoXLqyz+gT/UaBAAd68eUNAQIChRREIBALBH8jHjx8JCAhQOZKSQD0KFizI/V8p1AQCgUAgSG7u37+vlr5eZaO0iYkJ+fLl0+vOK3WMzvK/q6OkMhbDtLHIEUvWrFkpXawwhz3PKDyvav9q6zGtinHaP9qRhw8fEh4ezuL/TcDcXOUo9EZNYn23fsdeKpYpSeM6NRI8B10bpxURFRWFVCrFzNRU6TUrN23nys07jB/SD1NTU57LGbeU3ZswQKvPkydPKFCwIKVKl6ZqtWo8fPiQESNH4ujoyPhx48iaNWucEN0HDhzA19eXJYsX4+TkFKeuR48fU7tqRYKCQwgPD2fq1Kkq5aHWhrCwMJWvjT/vvHnzBhMTE7Jl+73D+BqKQoUK8ezpU0OLkSyklHknse8bdb6BJBIJLVu2xNvbmzt37uj1GyR79uwcv/iQfcevYmNrJzs+ZMJ8jp6/R7ueI2XrVrhlGtZuO8yRc3dxT/NfDt0WXcbi5GBHgwYNqFHk984tG2Dpytlz5/j8+TOzxwzCJfpnkhs0tfnuVRbpJCIyElMz5d9Tfn5+jJ8wAYB2zRrx+PnLJNvWJcbw3ZwcMkRFRdGvXz9y58lDhYoVmT5jBhcuXODU6dO0b9eOsmXK4O7uLrv+27dvHDh4kLx58tCsQ7c4z/fOw8fYWFtRvFABpFIpwyZO58mLVxrPf4rKxT8WGRmZ5OaGxHj27BkFCxbUuLxAOalSpSJ16tQpYhOiQCAQCH4/7t27R44cOWSp4QS6pWDBgtzTQ/Q7gUAgEAhU4d69exQoUEDl61U2SgOUKFGC+zr+Q1ZTrwetcrUagQHbGBXif7duzvPXb5myfDP+5s4KZVRkEI2PtvemimHaVhYqUL3cmCmJ2H4MCw/n6q271K0W18vV0cQ/zo+qyPdvUn0d+65IJBLMzc359v27wmvOX73B+h17KVO8CH06t8PGxoZv374luB91vKGN8R0xNDff+dC0WTOCg4Np3bo17u7uNGrcmDNnztCje/cEuZa9vb1ZuGgRTZo0oXTp0nHORUdH4+XlhZuLMwVLx+SSX71mDbt27dKb/BERERQtVozeffokea2i+ff+gwcULlwY00Q2Rwg0p3jx4jx5+lStjQMpiZQYiUFeVlWMkYmdr1ChApkyZmTqtGk880n4jFXdGKYKzi6ucQzSEBNGPHWadAnyy9g7OGLvEPMt8SM4ZkONRCLB1tEVCwuLFPW8NME+zIebF06TNXNGcmfPCvz3LFR5Jtp6D8f2r6WlBd+9lXjCBgQweMgQAE7v3kjqVG58/+FHVFSURm2qi7JNGYZAn1GNoqKi6N+/P0eOHsXWxoYe7VuxYsUKOnXujJ2tLePHj09QZsaMGURERLB+/fo471aApStfvn7DzcUZJ0cHcmXLAkCvYeM03nyW1OYYgMWLF5M7Tx6+fPmidv3R0dE8ePCA4joIYS9QTPHixblx44ahxRAIBALBH8iNGzcoUaKEocX4bSlWrJhY4wUCgUBgEHx8fHjz5o1af8urZZQuXbo0N27c0GoHvDyG9npQpMiLf8wQhmlD9UuFuk0Z0a8H8xcsoEObv3jz9q1KuYoT89JNzACQWLhoqyBvpf3gaOKPmWMmAD4GJo9C1JCcvXSN6OhoquTLIlNQJ6UUVXYuvnI7sWcgz3XPg0RERFC8WDHZMalUyrt37xg7fR6te/xDkfx52bBwJst2HSMgIIBr166pVLdANe5/CeCvv/4iS5YsXL1yhUkTJ7J82TL+7tyZ+vXrU6VKlQRlbG1tyZAhA+fOnWPP3r1xzl27dg2pVEqGXAWpVTQnr66dwtLCgufPn+vtHr58+UJoaCjHjx9P9Dpl4/f27dsJjOsC3ZE1a1bs7e25ePGioUX5I9B3mpH4dVpYWLBs+XICAwOpU7cuq/Z5xjFOhdq6qbwmyBP7DSD/LaDORikA/7D/ctLGGqadXVxVykmd0pFKpXheuEy5EjGbiqyCvDH3+yb7iT2mqoFakRd0/Gvi42vqyMlzlyhRJK6HanBwMHv37qVFixbcvHmTbcvm4ZExPbOXrsbf3x+vX6G89UlS3zrxzyv7rpdHFxsddP2tHhUVxbBhwzjp6cmiaeN5c+MME4f/w/hx42jatCn9+vVDIpEkuJ9cuXMTFRXFlClT4rwv0dHRnLtxlxxZPQA4vn0dvTq14dXb92r/HafOZt7dO3cA8OjRI7XaAHj+/DmhoaHCU1qPlCpVSnyfCwQCgcAgXLt2jVKlShlajN+WEiVK8O7du2T5PhcIBAKBQJ7r16+TPXt2XFxcVC6jtlH62bNnnDx5Um3hjB1D5XPWldeWMuW2OvckkUjoNmAoe9Ys5rPXN+rXq8fSOf8jKChIoYwhISGMG9aHa5fOyUJx+oTbJrgvffRreHg4AObmv0eeycTGwNVbd8mUNhV5smWWHYtVTCtTyMYnvjJbmXI7vneWVZA3r96+Z/ikmZQpXoSSJUvKrh095B+qVqvG1r0HadmoLhsXz8LRwZ47d+8C0KxZM9VuXgGGeh+NkbDwcNr0H0X16tUJCAhgwepdWLhmxz/aEbu0eek7cgbz580jZ86cCcpaW1uzY/t2ypQpw9ChQ5k+Y4bMC3bV6tXkyZOHChUqAGBvZ4ejgz02trYJ6tEVGTJkkIUdVeePpUeXT1G8RAkOHDhAmTJl9CXeH49EIqF48eJMnjLF0KII5NDlN0LxzK4cPHCA2rVrM2r0aBr+3Z8rL75ovElOmSE69viTR/fo2LIOD+/djlNu/+4tdG3bkE8f3smOPXn5mbE9q7B56RgAwsPDtFrjU4qHtdd3b95//EydkgVkBumLD55Tvt9EXn76KjNMx6ILw7Q8YWFhTJ02jVdv39Oj30BZmfv371OocGGGDB2KtY0N69aupUT1+vj/DJSVTZs2rbq3qzLqfAcktsk0qeuMAU9PT3LmysW+/fvp3q0bLRvWBWLm5A4dOjBzxgy6du2qUO5uXbsybepUzp0/T6vWrXn5Mias+uXLl3n27Bl9/24PgI21Fa5OTlhYmGNhYaGybOr21czxwwG4cPKoymWCg4MZMnQo9erXp1ChQmrJJ1CP0qVLc/nyZUOLIRAIBII/jKioKK5duyY2mOsRJycncufOzZUrVwwtikAgEAj+MK5cuaL2Gq+WUTpr1qy4ubnJDIKxKFIEqUJKURgmB/J9oet+UVcBV75Ucc7u2UzXti1ZuGoD1apW4fjx4wnCiFpbWzNjynjevolRgPmH2fLo/m2efPipcltJeWYpkzvo2wsA0qRJo3Jbxkxiz+iHnx/uLk4JjssrphNTtGoajvXp6/f8PWYG5Rr8hYmpCUun/4tD+A/sw3wI/fyCQyfPUL1iWe6eOsjciaOx/KVEfP36Nblz56Z58+YatWtsymJDM2zidDxPnQKgRZvOuKdSb8y7ubmxYP58+vbty4oVK2jUqBEHDhzg7NmzdOvaNU64z1Rurty4fEGn8stjYmLCPwMGULhQIYUhuOOP4cjISNZs3UWfkRPw9fUlJCREZkQX6IcqVarg5qa+t6xAd6iy0UgbMlhFsuTfoaxbuxYfHx8aNW7M4MGD+S6N2ZASf82I/17GbkJLLEpKLIf37yRDJg9cXOOOqfqN/yJPvkKcOXlE5iX94NIuHt85z971/yMqKopvX7+QOnVqQP3vInmjrLGHbPf+4QsQZ50fsWIbgcGh2NtYa1SnKmHeQ0NDWbt2LVWqVmXDhg2MHzeOAvnzy67ZvmMH0dHRnN+/Fc+tKylSpAgAZx+8AmDL5s0JQrHrClXGvKrPVZ/PXxfv5r179+jRs6fs//+0b6pSW/LpVVq2bMn2bdvw/fGDevXrs2XrVmbMnEmR/HkpW+K/tB6pU7kTEBik14goJYsUImdWD0oWKajS3x+PHj2iX79+7N27FzMzMypXrqw32QRQpkwZPn78yPv37w0tikAgEAj+IB48eEBUVBSFChUytCi/NRUrVuT8+fOGFkMgEAgEfxjnzp2jYsWKapUxU+diiURCpYoV+frmWZL53ZSFyjN2g5MhFZfqth3bl6qWk/eeSVIOSxg3uC+dWzej78h/+eeff5gzZw516tSJG9rc0pW/2nWRlc2YqwLhP1/jH+0o85oKsHTV6rkrKvvulzIlxusyROO6UwKuzs74+CoOhWoV5K1RuFVlhNq6YRXkzYkHb2jbayDurq5MGTmINk0bYG1lJbvuwtUbBAUHM3fiGOxsbWTHA4OCuXfvHpMmTlS5TWOfEwxJQGAgOw8epXChQuTJm5deQ8ZqXNe4Xu0plduDHkPHMHDQIEqXLk2DBg3i9H/pYoU5ef6SynOFJrRq1YpWrVrFOaZsDMxfuZ7pi1YAUKNSed58/PzbbEQxVipVqsT06dOJjo7GxEStfWs6Qd11LSUTf6OXPMkxL9YtmZcyhw+zbds2xk+YQGhoKAvGDyGNme7WliGjJis8bmpqyuBRkwgLCyX017Ea9Vvx8tl98hUqib3ZT7w+fyCVe12kUikSiUTrbwljxc3FGQAfv5h1PsIpFcsGdSZLmlRYpM2IbhLmxCU4JJSuPXty/c59GjVqRI/u3cmePXuca06cOEG/Lh3InT1rnLF65fJlsmXLFidyiiFR9B4pmz/0MYa0XS937NyJk5MTpUuVok2bNjg7xd3skZS8se1ny5aNU6dO0bVbN8aOHYuNtRXbVyyIs3GgTPHCAHz8+FFhdBVd4GBvx8WD2xXKGB9vHx8aNmoEgLOzM3Z2dgpTkQh0h52dHcWKFePcuXO0b9/e0OIIBAKB4A/h3LlzlCtXDjMztVTQAjWpVKkSs2bNMrQYAoFAIPiDCA0N5dq1a6xcuVKtcmprnKtVr86l67eTvjAehg6PLe8poehY7PGUgKae6eoSYOmKU5b8rJ0/naoVytC3Xz8ePnyYoJ/kQ3aampmRJm16rdtOShl+9sQRihQpQmrT38sgrehZFs6fh7efvdh95aHCftHEE1qZh7pVkDebz9yifZ/BlCtZnMuHd9ClTYs4Bmn4L2y6qWncKeTw1QcAKoVYNsYQmsZEZGQkHfsNw0RiwvL/jWPypEmkd4jWqK7Yfq5VpQJ3PA9wYMMy9q2ci2OEb5zr3n74SMa0yWv0TWwMWFrGeN9nTJeW1G6uVK1WPbnE+mMpVqwYERERPH361CDtG7tXK/xec5dzlD/t2rVj2tSpXLx4keEzl2icW1oTLC2tcLQMwtEyCGfXVIyauooOHdry+PpxAoOCKF++vFreuLHjJ7FUJsk9xpLy1nZ1diZ9mtQs3rqP6OiYOT5XkWJYpM2oF3m+eH2jRdd+3Hv0lC1btjBzxowEBmmIyUEeaWEbR+6oqCjOnz9PmdKlDe4lrex4Us9WH89e0/ngyJEj7Nixg+bNm7N48WJqF8+tlRzpLSM4sn4xR7as4trRPZQqGuONFJuO5cPThwDkcFc9TYe2/ZXYpmRpdDROTk4AtGvXji9fvlCuXDmt2hMkTZUqVTh9+rShxRAIBALBH8Tp06fFxrNkoHLlyty9exdfX9+kLxYIBAKBQAdcvnwZV1dXcuTIoVY59Y3S1apx4+59goJTpjFQkXIlJSjB5dFUVk3LuTg5snrONKytLLlz6XScuuSVTI6WQXHKyYf3TKrtWCW4qspwX7+f5M2qH4WtMRFg6UqDmlWpVrUqE2cvVHqdshzR8Umqf1ceuUjvEeOpXaUia+f/DytLS4XXFciTC4jJdy3f7p69eylUqBBZsmRJUhaBYoKCQ3j+6g2DJ0zj0o3bbF02D7cc/4W5kt8EkhiKjDFWQd44OzlSulgRhV6wpYsV4eL1W/QeMR7zn5+1vxkt6ft3e15fP83NE3u5/fAJ1asLo7S+MTc3p2LFiiLnpAooM3pqUo8hsQ/zoWXLlrRq3ZorV64kWK/jfyOpOgepS6xxGsDPzw9AobFUFTQN62yIcN/m5mbMnzKWC7cecPLKrbjn/L4lyCkNmqfl+PD5Cy279efD5y+sXbuW4sWKKb02b5483Lp5M86xK1eu8NXLi8aNG2vUviqkpO9xeVSdC6KiovD28eHAwYOMHjOGWjVrMnTIEK3nkNjyEomE4oUKkNo9ph9jx4q53zeKpnbA3taatr0G8ez6WY3bi09imwTk/43fR+7u7ly9coWHDx6QPl06SpQogb29vc7kEiimWrVqnDp1CqlUamhRBAKBQPAHEBkZydmzZ6lWrZqhRfntSZs2Lblz5+bs2bOGFkUgEAgEfwinTp2iWrVqajsuqG2Uzpo1K2nTpuHa7XvqFtUb8T2fU0IOQW1RZlxXdq22fWFubkbBvLm5+/CxwvNhYaE8fXwfQJYfMpbEDNOxxlRlClb587E/L+/e4N7jp+TNqZmyWlMMNZ4Crdxo3bo1b95/5NGzF4kalRX1Y3xjv7L+/vj5K4MnTKNJnRosnTExgXe0PLEe0rH55a2CvPn67Tvnzp2jebNmat2ftvwO7/p3nx9cvnGbf8ZOJnvpapRv2Ir9xzyZO3EUFUoXV6suRUpx+Weu6PnHHhvaqg6Lpo1n39GTtO7xDxYBX7S6ry1bt1K5ShXOnTunkpyKsLO1xfuHL09fvBS7q5OJGjVqcOXqVbXK6MpAm5JJyfdtH+ZDkcKF+fr1K9+/f09gTEpOpFIpu3fvJlPGjFhbx82pnNR8r8oYVJZeJjEDtabflorqVESFUsXxyJiB/acvASg0RKtKYt9V46bP4+t3bzZs3ETx4omvLSamprI1PtZ4tWv3brJly0bhwoU1lk9bUsJ6H3+MhYeH8+zZM9Zv2EDVatUoVaoUAwcOpEiRIkyZMiXZQlmmcnbgxtKJZEjlQuOOvbh3/rhW9fn4+lG+SXsGDx6MjyTGmKzue2Jubo61tTWXL18WG8+SifLly/Pt2zdevHhhaFEEAoFA8Adw69YtTE1NDfr9+CdRrVo1PD09DS2GQCAQCP4QYo3S6qK2UVoikVCjRk3OXbmudmP6ICUop/RFUkpSXRnrYuvIkcWD1+8+JDhvH+bD3ZvXaNO4GudO7AViDNMvnj0mKioq5v8qeEzHV6IqM1SPmreSbJkz0rFlU81uSAv0vekhfm7EWMVmuXLlcHZ2Ztu+wxrXrah/5f8fEBTjodagVrVEc8lKpVL6jvwXd1cX6hfPIzu+69AxzMzMqF+/vkry6Lr/UspcID92fgYE0mfkBPJXqkvjTr04ffEq3dv/xbbl83l84ThtmjZUeF/ynoryvysyxKjjUSeRSGjZsC69Orbl0o3b3Lr3UJ1bS8D3b9/48OEDf3fpwtNrZzU2Wp6/coNCBQvi5pY8IYX/dKpXr87169cJCwtL9LrEnmdKNtAmxe86d+XP4ALAu3fvAM3lil3v4+No4q+Sl/Wts3u5eOkSY8eO1WuIaG3GqKqGalXbkEgkNKtfiwOnLxEQFAzEGKYjnFIR4ZRKYznj8zMgkHy5cpAtW7ZErzt9+jSenp60bNlSJl9AQADHjx+nWbNmensuiaHL767k3Mx24OBBKlepQt169Zg8eTJZPDyYPWsWZ06fZs3q1Tg6Kn5f1CGxe4ndkBg7jjKncWP/osmER0Qwd8U6rcKl/zR34vnz5+zbv59Ro0fz08JFA+khOjqaS5cvU7NmTY3KC9TD2tqacuXKcfLkSUOLIhAIBII/gJMnT1KtWjVMTU0NLcofQY0aNcQaLxAIBIJkwdfXl5s3b2q0wVxtozRAzZo1OX/1ZtIXJgO/s+JbE/RpMM2UIR0fPin2nMyVtwC58uSPc+zJ84/06tKOgICfgGLDtLK8xsoMaZGRUdx68pKWjephYWGu0X3okuRQbNqH+WBhYUHr1q3ZsGMPHz5/UdtbWhXDZO7sWSmSPy+zl65O9LpDJ89w5eYdBnVohoOdjez47kPHqVW5PA4ODkm2pQ9SylxgH+bDmzdvyF2+NuUa/MWJsxeZNrAb+xZO5tG+Vfw7dABVy5cmyil9omNLFQOPqgbp+N70g3t1wc7Ojm3Hzslk1oS+rRvi9Gs8NO3cm89fvTSq5+yV69QQyupkI1++fDg4OHD79m2F51U16KWUd1ITFK21mq4FxtJPmdKnA+Djx49AXLmS2lASm64jMYO0Kjia+HP33j3c3d2pWrWqOuJrhC77XttvgXbNGhEaHsHcDbsSnIs/R6ua8zv+GtCmaUMu37jNmzdvlJaJjo5m7NixpEuXLk6Y7uPHjxMREUHDBg1Ualsb4r9X+vrO0rZuZd/cPy1cGDV6NMWKF2fgwIEUK1qU5cuWceb0adatW0fjxo3JlCmTzqJL2If5KL0P+TEQu8nBxDUDfTq348LVG4QmsfkoFkUbMdxcXenevTsAe/fuZfVq5d+PiW3iePr0KeHh4ZQqVUolWQTaIxTWAoFAIEguTpw4QY0aNQwtxh9D5cqVefPmDW/fvjW0KAKBQCD4zTlz5gy5cuUiffr0apfVyChdrVo1nr54yddv3zUprnN0pVSMH35UhCP9jwBLV8zMTFGWfiyzqymb956iUs0m/AiOyUNcqWYTuv8zkZ+h1ooLKUGRslUqleLj50+9/uMJCg6hWMF8at+DoVEnHGr88WYf5sPA9k1xdHBg1pJVgGp5uJPKNS1fLtDKDWcnRx4+fZ5onrm7N6+TOW1q+rRuLDt278tPHj17Qd0mLZK8N12TEt/P6jVq8MPXl8L58nBi+zp6t2pE1VJFiHJMA+jGc1LTnKMBlq5EOaXHzMyMbdu2MXnyZIXyJDVf2of54OTowNblcwEICw9n3fY9assTHR3N2UvXqFWrlkb3I1AfiURCzZo1uXrmhNZrYUp7N1VBUfhnRVEuVL13Y/GUNv8VQjhabv5X5gWfmJE5dsOMurmnQ0KC2b1nD8uXL6do0aKJXpuSvNVVHQsOHnnp3bktc9bv5MfPwDge0vLzeVIG6cS+DcqVjOnXQ4eVR135+vUrX728GD9uHJaWlrLjBw4epGzxIuR0sUjyXnRBcnkzqztHKTOsyh8/duwY27dvx8/Pj7lz57J25niaVChCHndrvf5dEV8mZSldAHJlywJApqIV+fnzp8ZtDho4kGq/NpDMmTuX6Ohotes4f/48lStVwtzc8JtN/xRq1arFqVOnZCH6BQKBQCDQB/7+/ly5ckVEQ0lG7O3tKVu2LMePa5emRSAQCASCpDh27JjGa7xGRmlXV1dKlSyJ5/nLGjWqD3Sh3ElK+ZUSjV+6JDoqGhOTmJCN/tGOCfrLxMQER8sgXGxivC5+BFuSI09h7BycZHmmlXlLy//IK9H8AgIZMWcFhZp0IUvNNly5eYfZE0ZSrmQxvd6rIhJ79uoYmpPKdansvKODPWWKFeb9x88Kz8srn5MyRse/PrbtXAUKAyQamtPBzhb/wEAiI6Nk9Rw6eQY7WxsqVayYaJsCZF5JZmamrJ3/P7JkypDo9Zp6parqSRdLfCX7yhUrALhw4YJG8sRSrGB+rh/bw5h/etOrYxu1ZAJ48OQZIaGhlC9fXu2yAs2pX78+Jy/oZo1P6eumIqN8Uv+PXzYpkjOcsDKiomPmdBMVQjMnZZiOJfaaxDypPY8doHeHBlQqlo1hw4aRO3du5s+bl2TduuovXY9PTUJ5x5apWbk80dHRvAvTPjy2Is/WaKeY3asZEtnFamdnh0QiwdfXV3bM19eXq1ev0qhODYOPU12iiUFaFa5duwbAnt27aVuzrEHCnSdF/ZpVSZcmZuODz48fGtdjbm7O0qVLmTRpEqtXrUo0/Ysyzp/xpEHDhhrLIFCfwoUL4+DgkOAbTyAQCAQCXXLixAly5cqFh4eHoUX5o6hXrx6HE9mEKhAIBAKBtkilUg4fPqxyGtf4aGSUBmjQsCEnzl3StLhe0EX4u6T4nZRx6hItlaqlbIo1TsdH3jCtTBHvFxDIwP8tpkizbmw+5Em1yhVZNWcq25bP569GdTW7AR2QlFJZ2Y8+UFS/qoZIZdfdvHIJaytLhediKVckP34BQTz/lV/cMvA7B06cpkbFcnG8qlThT3yfFq3eiKmpKRf2b8Psl2difI82deayxIxeqo4HRc+haNGiNGzYkJ8BAfj4aOfZ5ZExPf27dcTZSf3cmSfOXaJmrZpYWCSPd54ghpo1a/LqzTveKdkEoy4pbVOXOt6Mql5j7N8YP82dAWTrfPz1RZXNTopQZrw+fmgvnVtUZ1j/LpiYmDBm9GhWLF/OsqVLVfaYVHed1bZ/tR3HisrqOk9yYv1x7949ACIiIpTW4+DgQJ7cubl9547s2MmTJ4mOjqZC7UZayZiSoxCp+py8vLzYtXs3HTt2pFChQirXr8q7ldj3pSr9Kf9NYGdrw9p50wG4fEm7v+dMTU1p07o1ZcqUUbusr68vN+8+oG5dw33b/4lIJBLq1avHwYMHDS2KQCAQCH5jDh06pLGyWqA59evXx9PTk+DgYEOLIhAIBILflDt37hAQEECFChU0Kq+xUbpRo0acuXSFgMBATaswGtRRjKUkBZqukUqloIWzR6y3NCT0mpJXrL0JjKZG1yHsPnmO9g1q4Ll7E9NGD6FhrWpULV9aZsgzFIYcA6lTufPp6zeFYSNjUWSI9PFL3KPtwZNndBownBt379OueeJKZzubmHDs33/4ExUVxbajZ3jy/CV/Na6vUd/8aYbps5evUb5UMbJ5ZEryWkU5XdUl/nhQFNJVWb0jhg8nMjKS8ePHq92urjh08iyNGzcxWPt/Ko6OjlSuVIlDJ0/rtN7kNEQZo9FLFZkMsbkpDkl4dcobzxQZnJXllZZnzYJ/GTmoO05OTixetIgN69fTvn17qlWrRrp06VQTPh5J9ZN8Cg1N+jT+fKwL4suQxt0dgA9f46bHUWWDUWIyBQYGsmzZMgYOGoSLs3OS+bptbG354eODVCrlw4cPrN+wgYoVK5IqVapEy2kinzG+p4pQVcbbt28TEhJCxw4dEpyL3dih6Cf+eVVJbBzLjxtFYyh78Qq0b9eOyZMn8/79e5Xb1BX2YT6cP7KXwoUKapSDSqAdjRs3Zvfu3RqFXBcIBAKBICnCw8M5cOAAjRppt6lRoD558uQhffr0HD161NCiCAQCgeA3ZdeuXdStW1djJzKNjdJ58uQhZ46cHDtjXGG/UoJiKyUS26/SeEMmVrGrihJapfqlUgaNn4p/UChHt61j1IhhZM6gmYJanxgqZ2jOrB68//SZkJAQhYb92HbklY9BIaEMnrlMpnSKr5icNPV/VGvegSfPXzJ34mgmDvsnURmyFSxO9kzpafbPOLLXaUePCbMpU7wIlcuWBDR7B/VteDEWoqKiuH7nPldv3lWYt1uVftDEMJJU7nFldaVOnZrhw4Zx9NgxHn5N/g1IT1++5s37DzQUYT0NQus2bThwXLdG6Vj0vVYr2tCh6rydHN8RxjZPytcZP9RwrKyx84e6qQEgbp7pexcPsmjRIgYPGsTqVauoXbu2TsMba+I5bSzfjg4eebG1seHhJ58EKTlUQVH4+IcPH1K1WjXmz59PrVq12L9/P25uiT/DOnXq4HnqFGXKlqVqtWq8e/eOXj17qn9DSuRSdo2xPAdlqCKjj0/M+devX8uu1TTKgC5QtvbHjv3hw4fj6OTEuvXrk1s0APYfP0Wbtu0M0vafTvXq1QkODubKlSuGFkUgEAgEvyEnTpzA0dGR0qVLG1qUPw6JREKrVq3Yvn27oUURCAQCwW+IVCpl+/bttGrVSuM6tHI5bdW6NXsOH6ZFgzraVKNTksOoZR/m89sbzxRhZmaWaMhHeU9oRThaBiU8Fs/L6smLV5y6cIVVc6aq5ElqDCTneChWKD/R0dHcuXuXfKVqy477RzsqDZFqa23FuinDExy3CvImNCychZv3kj93Tk5sX6uSF7q5uRkndm1i2fotPH/9hm7tWlG8UH6dGBW0NfIbu0L7wPFTAISFhxMSGoaNtZWBJfoPZX2aLVs2IMbTDuySUSLYe/gEdevUwd7ePlnbFcTQpEkTevXqxau37/UyH+tz7gywdE10PjCGuUKb+0/q/jTB1NQUSDy0c2IGaVVyTAOsWLmS4sWL06tXL73m2tV1SG91npWmz8ch/AdFC+Tlxp17QPs456yCvDXymN6xcQ0+Pj6cPXOGjBkzqiRHp44dyZkzJxs3bqRkyZK0bNECW9vEv/F0Raz8xvydndi7O37CBABOnT5Nw7IF4xijzf2+KSwT4ZTQA13V560u8eW2trYmfbp0BAQE6LytxLAP88HruzeXrt9i47adydq2IAYLCwuaNWvGli1bKFeunKHFEQgEAsFvxpYtW2jZsqVev/cFymnVqhUlSpTA398fR0ftnIgEAoFAIJDn+vXreHt7U7t27aQvVoJWRukOHTowYcIEPn7+SoZ0abSpyqBoojz8kwzTsX3j7OhAQEAAUVFRWoXxhrjKa/m+DwkNBSBtas1DRKpC/GeXHAYKXRgRcmXLgrWVJU+fPCFD4WYKDf2xhNq6JfDMia/gtDCPmQLKlyquVlh0O1sbhvTuqvS8vt8PZfXrw1CjS777/AAgQ9o0Khmkk+pDXd2vonZiPfA9L9zEysrql3Fa+XjTNZGRkWzdd4jVa9clW5uCuDg7O9OoUUM27drP+CH9DC2O2hibF6witDHA6Xq+s7S0xNraGn8/P9kxVepX1RgdS0hwMOkzZDBKBZW6OZ/lr1eWVkPdZ1QoXx72H/OUGSW19bCNiIhEIpGQJo163+lly5ShrAY5gnWFvtY2XdWf1Lvbr632aSdUNUyrMhcok9Pbx4dHjx/TIJkiksjLuXXvIapUrqzyZgmB7uncuTN16tRh5syZ2NjYGFocgUAgEPwm+Pj4sGfPHu7cuWNoUf5Y8uXLR/78+dmyZQu9evUytDgCgUAg+I1YuXIlbdq0wcpKc2c7jcN3A2TIkIFaNWuyec8BbarRGcltJDZmRbeukL9HR3s7pFIpP3/+jHONf7SjQi/pH8GW/Ai2VFivsnDf+XPnBODF6zeaipwkyoyZif0YCyYmJhQvVIDDhw9jbx6gsN8Tyy8dP1/hzUfPAahbraLOZU3O8LzyGNPzik/zX1ElRv2juz8KtB2niRmkAe7cvErZMmW0Wmg04eT5S5hZWFCrVq1kbVcQlx49erJt/2HCwsP1Un9ybQgydtQJb5yYIVRbHBwc8PP310koZfn0EvLkzZePV69eaVV3cqIo/Lui/klsTVL12yLA0pVSRQvx4fMXrj94KjNKJpV+ITFevnlHrZo1MTc316i8thjyW9kQIcEbNWxIgQIFyJ4lc5zjyrykdYWm37EP7t8nIiKCqlWq6E02Re9MdHQ0m3YfoIcWYeEF2lO6dGkyZszIzp3CW10gEAgEumPDhg2ULFmSPHnyGFqUP5ru3buzfPlyhanjBAKBQCDQhJ8/f7J161a6d++uVT1aGaUBevXuzaZdB/SmsFYVbRWzmpb/EwzTsbx8+x57O1scHBwA5Ybl+Mbo2N+TCu8N4O3jC4C9XfKGCU6KxJR76ob01JYB3Ttx7/59tqyYDiTdr4kpsk9cvoGlhQXFChbQWi5FJJXDVZ08r78DsX6BXt/1k1tSnTC0yhTVse917LiKjghGKlcuuVi9ZTfdunWXhRQWGIYqVarg7OLC/mOehhZFK4xtg5E6KDOAajtvJljLAgL4/v076dOl01gueWJzSMfHx8cHOyNb42MxhjFSvWJZCuTJxd/jZxMQFKxVXV7fvXnw5BmlSpXSkXRJY4zrurp55dWtWx6JiQnfv30zSuWfovsP//X3W3R0tN7aVMTJc5cIj4ikYTJ5aAsUI5FI6NmzJwsXLjTKMSsQCASClEdUVBRLliyhp9h4ZnBatWrF27dvuXTpkqFFEQgEAsFvwtq1a8mfPz9FihTRqh6tjdK1a9fG2dWFXQePaVuVxuhKiaiNYdpYFG+6Rr5PXr/7QOYM6eMYiRQZpl1swmS//wgwifn5ZaiWN6DGlo1tQyqV0nfkBJwcHChTXLuBrW+08U7VdrxWLF2CHh1as2L5cswivFRqQ5Gn1fyNu5mxeht/t2mOublWkfxVQh9K4ZTmLe3s5EiOrB68fPNOrXKxHoeKfuKjq3t3tAzi1o3L3Lhxgwb16+ukTlW5//gpN+/dp3fv3snariAhJiYmDB48hCXrtvwWCmtjnRsUkdzfFh8+fCA6OhrbeAbjpPpMmcFcEcePH+f48ePUrFFDO2GNGG2fW7BNKlbNmcqnL15sPuSpcfju+59/UqddDxydnKifTHP47/otrA7Fihblq5cXwSGhWoVej//Npu3cpeg9jYyMZNny5RQsWJDMmTMrKakflq7fSv8BAwzmwS/4j06dOvHmzRvOnj1raFEEAoFA8Buwb98+wsLCaNGihaFF+eOxs7OjR48ezJo1y9CiCAQCgeA3IDIykrlz5zJ48GCt69LaKG1iYsLQocNYsn6r3nbZJ4auFczaeFP97sq4YoXy8+TFKwICAuIcV+SpG2uYdrGPOybiG6ZjCbB05ea9h1y6cZtF08bj5uKsQ8mND2299nq0b0VIaCie+9YmmldaEaG2bhy7eJ2xC9cwoFtHxg9Oebli5VFm6DZWz0gLE4gKDkxwXJmsyiISyJ+Pf42m9y1fT3BQIOOH96NEiRJxDBrJ0aeL126mU6fOuLlpFq5WoFs6duzIdx9fzly8qvO6DfGOGuvcYGgP0+zZs2NjY8OH9+8TvU6RoS1WXnm5Fd3LsuXLKVeuHH///XeC8oa+/1h0NTa0uYcsmTJQr3pllu84GOfbWtWQzOHhEfTs2RMLCwv27N6Ni4uLxrKoijF9Ayd3Ghb5ezczM0MikRAa9t8GTWWhuyOcUhHhlAqIu3kwfoQbZVFNVN2spuzZrF86n4cPHzJu7NhkzfF+6/5D7j95KvIbGgm2trb07t2bGTNmGFoUgUAgEKRwpFIpM2fO5J9//hEbz4yE/v37c+zYMZ4+fWpoUQQCgUCQwtm5cycmJiY0bdpU67q0NkoDtG3bltCwsGQP76lPJZOmSixjUsrpith+SJ8mFVFRUQQGJjSoqUusYVpeebZ69xEypU9L9Yplta4/MYzpGWk6ztKnTU3t2rVZu3YtERERQNLGy1j8/H8yeNYKKpYpyagBvTAx0ck0oBeSypGYVCh1Y3nW8rm8n735QLF8ObXyoFIFZf2k6njbsXkN3t+8mP6//yUIoa3PuffZy9ccOXWOoUOH6q0NgXpYW1vzz8CBzFy6+rfwlo7FGA3ThsTCwgI3Nzd8/fziHLcP81GprxKbb+3DfHj8+DH379+nXbt2cQxgSaV3+FPp2bE1rz585vC5mM0giT2D+Oemr97G6zdvWLhgAenTp9ernMZEYt9U+jZOx47Vl69ekSlTJlydnWTG5VjDszzyxxQZoZV95ygzPMe/Jil8/fyZs2wNXbp00TrslrrMWrKanj174eTklKztCpTTr18/Lly4wNWrut98JhAIBII/h2PHjvHy5Uu6detmaFEEv0ifPj3t27dn4sSJhhZFIBAIBCmYqKgoJk2axLBhwzAz0z7irk6sUZaWlowdN55ZS9cQGRmpiyqNBk0N07+jItXaygqAt9/D4hx3tAxS6q37IyDuEJMP7S3PuXPn2Lt3L+07dk4WI6kxPB/5caKJR0+vnj358PEjJ/euUbnNnwGBtO41kIDAIOb8OzJZPWP0RWL9ZgxGp/jGZ0d7W/wDghLN9R3nehN/pFIp317dZPvqWYzs147eHRowsFtz3j44T0REhMK8rfFJamzJK7E/f/rAmmXzaNq0idKQnvryQJu5dDWdOnXCw8NDp/UKtKN///68//QFz/O6zUdl6LnYGOYIQ6Go762trfH2Vu4JDQkNaKoQHBLKmJHDyJwxPQ3LFFTLI9rQY0QbtJG9eKECVChVnIkrthAdHa1yXcv3nGDhokUMGDCA3Llza9x+SsNY3mUHBwcCfv6U/aHNI4oAAQAASURBVF/eMC3/E//8z4BAtp+6Rt9/Z9P5779p+ddfrF23Dj+5TSKqbj6UR9G4kUqljJsxHzMzU7p26aJ2ndpw/c59rt25x/Dhw5O1XUHipEqViv79+zNu3DhDiyIQCASCFIpUKmXcuHEMHz4ce3t7Q4sjkGPs2LHs3buXhw8fGloUgUAgEKRQtm7dSkhISILIh5qiM+tfp06diJRK2XnwqK6qVEpyht7URqGYkhWpiihdrDAuLi6cOLIvyWt/BFuqXO+TJ0/o1bs3lStXpmPHjkajWDQkqvRByaypyJgxIzdv3JAdk/egif+e/PDzp2W3/rx8844dKxeQKX063QsuiEN8g3RYeAThERGYmSU99X748IFJkyfTrVs3mlQvRu06dZg/fz4BAQG4ubnx/v17mjZrRsu6ZXj27JlWcsorun/4fGdA9zY4OTkyfNgwlcrrak6+//gpJ85eZMyYMVrXJdAtdnZ2DBs+nP8tWklUVJRO6zb0Wmms4bwNQe1atfA8eTJO6GFd0HXQSF68fsuaudMwN1d/R2VK3uynjdx1qlXi2as3+P8MUFiX/NgNsHRl0fbDjB07lg4dOtCnd2/Nhf6N0fe7HhQUhKmZWZx2FIXl9jOzZ8Op6/QYMobqLTqQp0Jt+vXvz507d7C2tsbZyYnJkydTomRJli5dqrAt/zDbOD+qIJVKWbhqA9v3H2b8hH/1miYj/niVSqVMXbCMAQP+Eek5jJAhQ4Zw7do1zpw5Y2hRBAKBQJAC2bt3Lx8+fKBPnz6GFkUQj0yZMtG1a1fGjh1raFEEAoFAkAIJDw9nwoQJjBs3DgsLC53UqTOjtLm5Of/733SmLVhOYFCwrqpNQEpTHKdkRao8AZauhNimpmiRIrx+oTgXiSJvaRf7aFleaWVe0oePHMHWxobFixYlCBOsTwz9XJIay0md9/Xz5/3790hMTBJ4ysobGf3MnNh9/jY1WnXh3cdP7Fq1kML582gueDKii2ekaujv5GDjgRMEBodSo3ZdpdcEBQXxV6tWVK5ShX379hESGkqlypVZtXIlt27eZOOGDcyfN4+DBw6wZvVq3r17R89feRk/fvxIwUKFOHDwoMoyyY+Vs55HaVKzFD+8vVizejUODg5q3Z82fSuVShk/ayH9+/cnQ4YMapcX6J++ffvyMyiYnQf0v/nMEKS07wtdEH+OLV6iBIFBQTz/ES47Jp9+IPZHHb55++B5/jJTRg6mQJ5cOpVXX+h6LKgrd2z7tx88AsDB3i7Ruj58+MDQYcOYOHEiXbp0SfYcwYZG3eelr3c9ICCAHTt2UKtmTVk78dsKtXVjyYGz5C5Xk74j/+XhsxfkyluAUSNHcv7cOY4dPcqSxYtZvnw5Rw4fxtHRkVmzZ/PkvT/R0dEMH9CVLm0aqC6TXPv+PwNo3KkXk+ctYWD3zjRt0kQ3N64AReP06OnzvHzznmEqbngTJC8uLi6MHj2awYMH63zzmUAgEAh+b8LDwxk2bBiTJk3CxsbG0OIIFDB27FhOnz7N2bNnDS2KQCAQCFIYixYtwsbGhg4dOuisTu0DgMvRokUL5s2dy6I1mxjRr7vCa5QpghJT2BlSURxg6aoTJagi75aUiFQqxdJU/ZyiLjZhnDqyAycXd4qVriI7/unDO9avX0/Dhg2xtPzPu1pX/W7sqGKYVtYPzk4xxsRv374BYI8vt2/fZt/+/Xz/9g0HR0eePX3K8xcviIiIoHzJYsyZOB+PjCkrv6Sq+Uw1ITnH2Zo9Rxk0Ywm1q1YkR1YPAD5/9WLjrv28+/gJa0tLrKwsuXb/KS9fvmTu3LlUq1oVW9uE3k/2YT7Ym0D90vlp26YN+w8cYMuWLYz9FXYxNCREbfluXL3IiH+6UqlSJaZOmYKLi4tW96tu3x49fZ7nr95y5MRordoV6A8rKytmzJjJgH59qV+zKna2ulM4yKcyMCR/ytqjjNic4aa/0mgoM0DHHpf3/Pz81YudB4/Ss2MbLOV2To6fuQA7WxtqVCqnsK7YZ25s/W7osRBg6Uru7NmA/57LN28ftu49yL2XHwgLC8PG2pqjx44RHh6Oo6Mj/5s2jebNmye7QdrQ/aRpOV3K/cPPn2oNWxMcFESzDv3wj3bEQeLHnr17efDgAd+/fSN7+lR88/Zh9+HjNK9fm/5dO5AmTzGldebKlYvt27ZRs1Yt9uzYyLVL53j04A6Ayp7REHOvJr4f6dR/GI+ev2LD+vWUK6f4fdQFivo1PDyCibMXMWnyZLU3vAmSj/79+7N06VI2bNhA586dDS2OQCAQCFIIscpqXYX0FOieVKlSMWrUKAYNGsSNGzeS1SFIIBAIBCkXb29vJk2axM6dO3W6dujUKC2RSJi/YAGVK1WiVeN6ahm/DK2ITm7kFTYp6d4DAgJIkzat0vOOlkH4h9kq9IqePLwTAA6OTjRr1ZEMGTNz+uhuLCwsGDVyZMK2kkEhrE+Dp65ISmF/6dIl+vbty+UrV/D39yd9mtRkzpqNj58+YWEipWLp4gzr050iBfImp9g6JSU8J0WE2rrJjDf7z8Tk4m3dpD6v3r5n8ZpNbN9/GBsba3Jk9SAwMIio6GjcXV3YtmwO+cpWV6kNVxszAgMDZQZpgHr16qlUNtZL+vGDu/Tv1opSJUsyf968OBtEdMGrt+/pOWwsPTq0pnn92gnOh4SGMn7mAiZPmSKU1UZOixYtmD9vHvNWrGPMQN2HBzaGd93QxsjkRr7PAwNiwkQr2gxj7vctzv8jnFLFMVpfunGbKfOWMmXeUurXqEKJwgWRImXP4eNMHzuMVG4Jn6v8s1a13xVtYFBUThfjKKk21EGTse3ukROASk3a4uhgz827D7C0tCR37txYW1vz5vVrcufOTaNGjfirZUusra21klETUqJBWr68ruS/de8BPj4+FClcGCtrazz3rWXRwoW8//CBHDly4OzkxJ4HD3Bzc6Nrly4MGjQIM7Ok/wyLfRfXLJsnO9aybdIKX/9oR1kUnaioKDoNGsvdx89Ys3o1xYsX1+wmE2HChAm8ffeOtWvWKDy/bMNWbOzthbLayInZfDaDfv360aRJE5ycnAwtkkAgEAiMnK9fv/Lvv/+ye/duYeg0cgYMGMDy5ctZvXo13bsrdiQTCAQCgUCe0aNHU758eapXV81OoSoSaaz7hQ7p3r07b54/YfPiWQm8NQytbNYUfSvd5A2PxtxHFStVomGDBnQbNEnpNcq8N66cP8qoPs3iHHNzc2P69OlUrlQp0XaTQ+lpzP0eS/x+8P8ZwPiZ89l75ARN6takZcO6lC5WGBMTnUXmNxr09XySS6Hu9d2bjv2GycKxujo70aJhXQZ064irs1OC65O631i5T1+8SqseA+Kc+3L/coI/COPXF2uQfv3yGX07NyNV6tRs27pVZwZp+X7duvcgA8ZMBuDcvi3kyZEtzrX/W7iCC7fuceXKVfGHbArg/v37lC5dihPb1pIre1ad128Mc7ExGqUV9Ysu5QywdGXNmjXMnjOHdzfPIpFIZEbn+AbpWCKcUv1XPiiYfA074RcQN5VH++aNmDZ6KBYW5om2HR9d3VtyhuJ2z1uS74+vq11nYjIeOXKEKVOnYmdrS8+ePalUqZLWkSx0hSbPKL73vby3vSbo6vlqO96io6NZvmEb42fOlx2rXrEs3dr9RfGqqm0UU0RISAgdO3Xi1q1bsmN/9/yH9n2mKrw+NpVOrEE6MjKSsePGsWvXLtatXas3D+ls2bMD0LNjGyYOi/tN8uHzFyo2asOx48cpX768XtoX6A6pVEqtWrXIlSsXCxcuNLQ4AoFAIDBy2rVrR0REBNu3bze0KAIVOHToEB06dODZs2e4u7sbWhyBQCAQGDFXr16lWrVqPHjwgKxZdav/1YtR2sfHh9y5cjFj7FDq16gS55wxKJs1IbmMosZulM6TJw8jRo6kcbt+iV4X3zAdqyR78ewxfzWoxPDhw2n1119YWFhgZWWlUtvGYpjWl0eWqhijsSQ50EcfJ3dfBoeEcvPeA0JDwyhZpCBOjsq9gtUZi1+/fWfcjHnsO+oJwOYls6lRSbHiN7Ze/2hHQr49o3GTJjg7O7Nu7VpSp06t7i0lKRvAgeOn6DpoFACeO9dTMG9u2bmXb95RrUUHLly4SLFiysOYCoyLgQMHcv3yBfasXqTzTTDGsgYa21yr6kYVber/3/TpHD92jJvHdgExBkRlBulY5A3T0dHRNOo7Bi+/APauW0pUVJRCD2lFbStC10Z3XaFMLk2N0vIYy/iPT3wPdU2fja6N0rEYi3H6xpvvfPXyIrODmWyt01Y2qVTKzp07GTkqZh0tWKQE67YfUfqtHWuQBpg4aRKbNm1i6tSpNG8Wd2OoLilTtizfvn2jYa1qrJrzn8FcKpXSacBwUmf0YO3adXprX6Bbnj9/TuHChTl//rxePOsFAoFA8Htw6tQpmjRpwpMnT0ifPmWlifuTadKkCY6Ojqxbt87QoggEAoHASImMjKRkyZI0bdqUMWPG6Lx+vbhTurq6MmfuXEZOmY2f/099NPFbYuwGaV9fX8IjInCwt8fRxF/2o4hYxVj837PnzEOVGvWYOXMm4RERKhukIUapZ8j+sQ/zUaqsTOycQHt+B4M0gI21FRVLl6Bm5fI6M0gDpEnlzopZU3h59RQAT1++AWKU//ENALHl7PFl0KBBmJqYsGH9ep0apOPj7Ogo+/3gidOy+4uKiuKfcVPo1q27MEinMCZOnMjHL15s3LVP53WLuTQhqswJ2s6T9mE+3L17F/tfIfSV5ZOOj7zR2sTEhGFdWvH05WtWbtqukkE6tm1FGHrdV4Y+ZTLG7wl5eYxRPl2i7bMtkcWdBqXz68wgDTHpkVq2bMmL589p2rQpXz59SHCNIoP0uUO7WL9+PePGjtWrQRqQfc8fOH6K0LD/UvgcOH6Km/ceMXPmLL22L9AtOXPmZMSIEXTp0oXw8HBDiyMQCAQCIyQoKIhu3boxefJkYZBOYSxYsIA9e/Zw4sQJQ4siEAgEAiNl1qxZhIaGMnToUL3Ur7cYv+3ataNI0aKMnT5PX00kK8aqGE1Odu6K8ZxKGy+ndGKGaXmDNMQo1ooVzI2ZmRmWFhYayaGv56AsfKg6Clhj8eYWJI2x9qM2cr37+AmAUtnTyQxKQSGh3LxwBouAb1gFeXPnwWM2Ll/AoL49uXb9OounjtN72KaXb9/Jfl+6fivdu3dn0fbDrNm6i+8//Jg6VXEYUoHxYm9vz4qVq5g4ezEfP381tDh6wZjmiORYWyIjI7lx4wYfP7yXHUvKS1oR+bJnwdLCHDtbG12K98eh7veHPtHXu6ArL2kwvs0s+vi7wcTEhA8fPpCvQBEg5jvbwSIQrzfX8fr6GQB/f3927NjBggULGDBmErWrVKBt27Y6lSM+wcHBfP363zowe+lq2vUezLNXrxkxZRaLFi/GzU13z1qQPIwYMQKAadOmGVgSgUAgEBgjo0ePJn369PTt29fQogjUJGPGjMycOZNu3boREBBgaHEEAoFAYGQ8efKESZMmsXbtWp2l+YyPmV5qJcb4uHLVKvLnz8+x0+epXbUiYPzewEkRG2JbXxhz/5QrWxaIUT6pilQqJTQkGDNzC4K+PuHS5cusXrOGevXqYW9vr7Esun4O8n2ubb36eoax9Rqb4lUfJNc7kBwhY1VF3XtWNBYypkuLtZUlfSbNp1b5EuTPkYX+U2PyAa6cOIR1e49x6c5DbKytcXdz4X9jhlKhdHG0+TMkfkjX+Lx5/5HpC5dTu2pFfvj6cf3OfU6dPk1AYCCPHj3i0KFD2NoqzkMvMG5q1apF8xbNGTh+KtuXz9NpGG9jXgsNhfz7rqxvtFkjzMzMKFK4MHaW6n0aBoWEYeYQje/PAJ68fs/sdTuIjpbSsmFdterRxzOPX58u028k53r8O6QN0VfY7lh02R/G/K2VI0cOdu7cSf/ubahRuyH7d2/h9o0reGTJTqMGdVm+YgURERE4OjhQuWwpRk2YjEQi0Zs8UqmUfydORAIM6NaRBas2MH/legAiIiOpULEiLVq00Fv7Av1hYWHBmjVrqFChAvXr1xcRbQQCgUAg49y5c6xcuZI7d+7oPJWTIHno1q0b27dvZ9CgQaxcudLQ4ggEAoHASIiIiKBjx4707t2bUqVK6a0dveSUlmfLli3069ePc3s2kto9RgFlSEWzf/R/YWSVefiqQlIKQl3kdjQ2pFIpzZs3Rwrs2b07wXn5vo1lzrRxbFq7FIlEglQqRSKRUKdOHcaMHq2TcMHa9LO+DJIpTVGsS9S5d2M3OqUUr/f4cj548pzNm7dw6NwVvv3wi3Mue6b0jBv6DzUqlcPU1FRrORIzktmFejNj8UqWrd9KandX5k0azcZd+9l54CgeHh7Y2NhQu3ZtZs+erVHbAuPg58+fFC5ciI7NG9K7k2698QwxPxjbnKoqqhhfVWHzicsMHDiQw5tXUSFH2iQ9pV9//ka+TsPjHPPImIGxA3vToFY1tdtP7Jmrc0/qrO+6HGdZs2XTOqe0OiTXO6Lte5FYKHhjyymtCqr0h77kCQ4OZvOWLZw6dYobN25gZWVFaGgoAKampnTt0oW///47WTyTHz58yNBhw3j+/DnzJ4/h89dvHDhxmifPX9K+eSNOXrjK/QcP9B6NRaBfJk+ezMaNG7l9+7bYRCgQCAQCfvz4QaFChRg5ciS9e/c2tDgCLXj//j2FChVi1apVNNNzqheBQCAQpAxGjx7NoUOHuHbtmlppd9VF70ZpiAnl/f7dO9asWYNjhK9RGKJiDajaGKZBuVFGV4ptY+greZYtW8aChQt5+OCB0h2R8sbpQ/t2MG5YH/4ZMICiRYuSLVs20qRJo1OZ1O1rfXvHJvczM7QRxdjGaHKgiz7XVb8pkyU0LIwPn76QI6sHV2/d5dGzF7Rr3khh2Hx1ZVHl/r9++07BKvUBOL5tLR37DwOJCaXLlMHBwYF79+5x7do1vYUBESQfV69epVrVqhzYsEyWR1WX6HuOMfQcqit0YZgOCg4ha8kqTB87jJ71KyZplA6PiMSxXjec7G2ZPXEMmTOkI2/O7JiZqedtrckzjn9/qtahaTlVyJotG69fvUq2MaWvqCy6QtW85Noapo3lOySpyCG65t27d7i6umJiYsLadeuoXasW2bJlS5a2AQb26cGB46eYNmoIL9++Y+223ZQrUZSGtarz7+yF7N6zh5o1ayabPAL9EBUVRZUqVcidOzcrVqwwtDgCgUAgMCBSqZSWLVsSFhbG/v379RqNRZA87Nixg549e3Lv3j0yZsxoaHEEAoFAYEDOnTtHvXr1uHbtGvny5dNrW3oL3y3PkiVLKFKkCIsXL6Zfv37J0WSSaGuMjkVX3knKMDZv0rCwMOzs7GQGaUUKOEcTfx48fMjLFy9I5+wEQO7cuSlXrpxeZIptWxvPFWMyMmrabkoIOf27oO/3Xh2UhRm9dvsenucvU7NSeXx8fXF0sCc0NCyOUVoXhiB5AoOCGTd9HkdPn2P5zMk4Otjj/zOAFt0H4ODgwOZNm3j69ClDhg7l+vXrwiD9m1C6dGlGjR5N18FjOLFtDU6ODjqtXxtDjz4NkMaOJvNUZGQkUqkUBztbmaFQkWE6NDyC9ccuUKFgLtxdnMidJSMNalbViZzJVU5f83Zi9eqybVXuX513x5DrmFWQt87DeRuC5JxfgoKC2LRpE1myZiVH9uykT5cOX19fvbd74cIFRo0cTo1K5cmTMzsHjp9i5NRZSCQSJg4bQLvmjanbtis9evYUBunfBFNTUzZt2kSRIkWoUKEC7du3N7RIAoFAIDAQCxcu5PLly9y9e1cYpH8TWrZsycmTJ2nZsiXnzp3DQoETg0AgEAh+f758+UKrVq2YOXOm3g3SkEye0gD379+nbNmyLFywgEqVKiVHk0ZBSvW+Vcbhw4fpP2AAN65fx8XFRanCv2q1arx79052fN3atVSoUCFZZVWVlGyQVoQuwo/ryvv8T0IXoWV11X50dDT5KtbBx9cvzjUrZk2mcZ0aSbavzJCR2D2+/fCJ3iPGc/PugwTnatWqxf+mTePHjx80adqUlStX0rJly6RuSZCCiI6OpmGDBoQH/2Tjwpl6zS2mjWe/MW0o0RXqpk1IigKV69G2aQNG9O8p83SNb5hecfA0AxZulP2/fqUyrFkyT2U54vO7rCGJhe/WVUQKTT3ClZXX9zugqrc0aOcx/buMIVVZuGgR8+bNi3OsYMGC7N2zRy/tRUREsHnlYibNWZTgnLOjAytmT6Fi6RL0HjGB7z+DOHXqtNoREwTGzbFjx2jevDmXLl2iUKFChhZHIBAIBMnMxYsXqVWrFp6enpQpU8bQ4gh0SEhICOXLl6dMmTIsWpTwW08gEAgEvzcRERFUrVqVLFmysH79+mTZeKY/rXE8ChYsyLJlyxg0eHAcY+XvToClq+xHG4xFcZ4jRw4gxsh068yRBOdj5Sxbtqzs2Nw5c4RBOpnQNsd27L2oO2btw3xkP6pe+yejjz6Qf15fvL7j4+vH+qkjWDxmAG7OjuTKloV61askGi1AU7n2H/OkcpO2vH77HjtbGwCcnJwA+N+0aSxetAhTU1P69O3L33//LQzSvyEmJiZs2ryZl+8+Mmvpar22pcmmGWVzmjHN35qi7oaYpO45V/aszFm+lvEz5xNg4QRAhFMq2Q9AxUL/hWnPl92DFQtmqS+4HH/6mqAI+XGrq29JiDvXJ0e/q2NoVseAHZ8/bQw9fvyYUqVKcezoUapUqQJA//79gYTPWNtnHvzxGZ3atWby3MUUzJsrzrnmDWpzfv82KpUpycpN27l88y7bt+8QBunfkNq1azNs2DCaNm2Kj8+f9b4JBALBn86nT59o2bIl06dPFwbp3xBra2t27drFli1b2LBhg6HFEQgEAkEyM2TIEH7+/MmyZcuSLRJKshmlISa3dMeOHenRsycBAQHJ2bRRoEuloqHw8PAA4IevLy279Vd4jX2YD3379JEN4kOHDiWXeGop3v40BWZiKBuTmijDVVWG/k79r8m96HMe2HXoKLbWVrz77EWfyfOxsrJmyfR/MTc305mSGuDBk2e06z2YboNHY2NjhZ2tDWFh4QwaNIhrV6/y8sULWrRogVQqZfCQIaRNm5YZM2bo+G4FxoKTkxP79x9g+YZtHDh+Sq9t6XL++B3WZk0N9YrImdUDgKXrtnDY80yC8xFOqchWsDCje7QD4NHLt3z6mnjuaVX4ndYEwX8oMjQHBAUzccl6vH3/S6Wzatdh2o+YSsS39xq39adsevv58ydnzpwhR/bs1K5ThzNnztC3b1+qVK6s8uZAVZD8eM/axXMpW78lN+89IG/O7Dx48pySRQpy7ehuvB5eZcn//iW1uyunL15l6oJl7Nm7lzRp0mh7iwIjZcyYMRQsWJDmzZsTERFhaHEEAoFAkAwEBwfTqFEjatWqRZ8+fQwtjkBPZMmShe3bt9OrVy8uX75saHEEAoFAkEysXLmSzZs3s3fvXmxsbJKt3WQL3x1LZGQk9evXJzQ0lBXLl4ud9L9ISkFkTMrycuXK8dXLC4DX109jZ2ub4Jro6GjyVKxL/nz5+N///pdsCipDKyON4Tnp20CqTw/flIqxhDuPlWPw+Kls3LVfdvzigW3kzJZF7frk5YytOzAomDOXrrJu+x4uXL0BgJWlJaFhYRTOl4epM2aRK1dcT6qZM2dy0tOT67/C/gt+bw4ePEjrVq3Yt24JhfLlSZY29R0SP6WgaT/I3+vuQ8fpNXwcACP69WBQz7+BhMbF/63awtz1u1gxewq1qug+GkpKXBuyZsvG61evAMPmMzemsavIKC2VSpFKpQnC/EdFRWFqagpoF8obUub4UZXnz59Tp25d2f+7dOnCtEHdNaorfj9JpVLe3bvKnsPH2bBzLwGBQdjb2RIQGISVpSVjBvamS5sWsucE8OL1W+q27criJUtp27atZjclSDEEBgZSvnx5SpcuzdKlS0VOUYFAIPiNkUqltGrVis+fP+Pp6YmlpaWhRRLomUWLFjFp0iSuX79O5syZDS2OQCAQCPTI2bNnqVevHkeOHEn2dMvJ6ikNYGZmxvbt2/Hy8mLKlCkks03caEnKU8uYFIy9e/eW/f7m/ScgRukor3iUSCRIgCJFiiSrx8TvrIRUFVX7QFPvQF33sTGNbU0xhnEn34+dWjWnf9cObFo8G6+HVzUySMevOzw8glWbd1CiVhO6DByJr58/NtbWAJiYSChYsCDbd+9NYJDetWsX27Zv59ChQ8Ig/YfQoEEDxo4bR/u+Q/n0xStZ2tRXSHxjeLfVQdM+kL/PpvVqyn5/++Gj7PdQW7c4hkITiQmWFmbUrFxeozaTIqWvDcoijSR3+GxjRCKRKMw7L2/o1CaUN6T88ZMYHh4eDB8+nMGDBnH3zh1GjRypcV3y/fTmziU6t29Dtebt2bR7P1kyZQAgIDCItKndWTFrMt3bt4rznLx/+NK2zxB69e4jDNJ/CHZ2dhw4cIB9+/YlyGsuEAgEgt+L8ePHc/36dXbv3i0M0n8Iffr0oVmzZtSvXx9/f/+kCwgEAoEgRfLs2TOaNWvG/Pnzk90gDWAQN2VHR0eOHDlCqVKlyJQpE507d9a6TnmlSoClq1IPFfswH6NXMivyToz/e2Jl9E2skblR7epkyZQ+wfnAoGA69hvKD19ffhogTLv8s07uNo0FRe9AfBSdN9R9KJPV2Po1MVTpc317SMdSIE9OCuTJqbN6b9x9QL9R//L2wydaN6nPX43qMXX+UiIiIpg0cSLNmjVT+EfqpUuX+HfiRA4ePEju3LkTnBf8vgwbNoyXL1/Sts9gDm5Yhr2dXbK0GztmdfmuqfJuGxPafudIJBIyZ0yPqYkJDWpWTXA+1NaNjTv3MXn5RiAmMoq8kUqgHEXjSNdj1tjGqvxGBm0Nzeqibt/qY/7QBxYWFnTv1k32f22fuYnvR8ZNn8vGXfvJmdWDtfOn8/rdB6YtWEqVcqWZOX44mdKnS1AuJDSUDv2GUaJUKaZMmaKVDIKURaZMmTh48CBVq1bFw8ODJk2aGFokgUAgEOiYtWvXsnDhQi5fvkyqVKkMLY4gmZBIJCxYsIAGDRrQokULDh8+jLm5uaHFEggEAoEO+f79O3Xr1qV79+507drVIDIke/hueW7cuEHVqlWZMX06tWrV0rie5FDA6SK8sS7CaqqCvpVpL168oHadOmxbNo+qFcoA/ykaQ23d2Lz7AIPGT2X48OHUrVOH9OkTGq6Ti+RSzhqzAlObPoh/X4ZSdhtz/6qDsRkLVOHUhcu07jkQB3s7ti6bx50Hj5i/cj0mJiYsWLSY4sWKKSz37PlzWrVqxcKFC+nQoUMySy0wBiIiIqhfvx4RwQFsWjQbc/Pk3weXXBtBjA1tvzead+2Hmakp25bPU3idR/HKVCxdnNZNG1Cnqn53VKak+V8+fHd8VB0z2t6vsY/NWKyCvHn6+j0tBk6gTOF8rPh3sOzchMXr2Hb0NIv+N5HypYrrrE1FfWssGz61QZtnHhERSd6KtfH/GcDUUYPJnT0ri9Zs4vTFK/Tq1IaxA/soTLUUFRVFtyFj+REQzKnTp7GystLmFgQplP3799O2bVtOnTpFqVKlDC2OQCAQCHSEp6cnjRo14tChQ1SpUsXQ4ggMQEBAABUqVKBYsWKsWrVKpOsQCASC34Tg4GCqVatG5syZ2bJli8IodsmBYVr9RYkSJdi8eTNDhw7l+vXrhhQlSVQNt6hrZaAm9ek7JOSJkycB2HHwKF+/fY9zzirIG1dnJ6RSKS9fviQoKEhvchgLxq60jB9CVN0NFsYQZjSlKNmVYej+04a3v0L0/wwIpEXXfkyYtYCKZUriuXODUoP0p0+f+Pvvvxk8eLAwSP/BmJubs2vXbnwDQ/hn7GSio6OTXQZ9zWGazqnJiSb3G2Dpiq+fP5dv3OLVu/ccOnlG4XUurq48fPGGEDN7vKKsjbYPjAF1x5624zSlPItQWzfSpXJj6fiBnLt5j6ioKNm5bUdP8/mbD54XLuu0zfjzwe9gkNaWoOBgWd//O2shTf/uw8fPX1g7fzr/Dh2g0CAtlUoZ/b+5PHvzjv0HDgiD9B9Mo0aNmDZtGvXq1ePZs2eGFkcgEAgEOuD27ds0a9aM5cuXC4P0H4y9vT2HDx/m5MmTjB8/3tDiCAQCgUAHREZG0qpVK8zNzVm3bp3BDNJgYE/pWFauXMnQoUPZumVLgnykqpBSjD2G9DrVpXLt4cOHdOnaFW9vb1bPmUqDWtXieEpLpVK27TvEqKlzCAoOZuGCBdStW1dn7auLPvs5JSstU8p7I09K7O+U2M/x+RkQyKbd+4mMiKRZ/dqkT5s6znn55+Lr68tfrVpRs2ZNFi9eLHbUCvj69StlypSmbpUKTBjSz9DiAH+GB7Wm9xgeHs6yudOZv3I9JYsU5NCmlQnq+/DhA4OHDOHWrVsULVqUnTt2xKlDV/2Q0ub8+J7SuuwHdaPwJJaiw5jGKYCvnz/OTo6y/1+8dhPPC5fp3aktqdxiZI6IiGTBqvX06tQWG+v/jKD3Hz/F3dWFtKl1G1YyJY09bZ+nVCrl1IXL3Lz3kBKFC1C1fJlE1+65y9eybsc+rly9SubMmbVqW/B7MHr0aDZt2sTly5cNGiFLIBAIBNrx6tUrypYty9ChQxkyZIihxREYAU+ePKF8+fJMmjSJ3r17G1ocgUAgEGiIVCqla9euXL9+nQsXLuDk5GRQeYzCKA0wadIkFi9ezJbNm/Hw8FC7vLEp2BRhDKGQdaVkGzV6NNevX+fKAeVu/ldv3aFRx15MGD+edu3a6aRdTdFHX6ckhaUyjOm9CQsPx9LCIsnrUlq/G1Mf65MAS1cCAgLo1LkzWbNmZceOHSLPrEDGy5cvKVumDD3ataR/t46GFkcYpZPg06MbVGzUmq3L5lKtQlmF9YWGhtKxUye8vb055emptC5dppAwduSN0sY0FuQxpGFa1XXeGEhpYy+5nue67XuYMm8p5y9coGDBgsnSpsD4iVVwXLt2jbNnz+Lm5pZ0IYFAIBAYFZ8+faJChQo0adKE2bNnG1ocgRFx5coVav6fvbsOt6rM2wD80J0SiiIidtfYMYrdjRhjoo49to41OnbniN2oo9iJjjHGqNiKLSIq3XngwPn+8ANpibM4B7zv6+K64Jy11/rttfcK3me977v11rnlllvSsWPHii4HgDlUVlaW0047LQ899FCleZC4QofvntJZZ52VfffdN3858MD8/PPPFV1OuZtR41ZFNHiV1zCmjRo1yvDhwzO+tHSmyxxzxj+y0oorZtvttpunbZWH8h5idUFrrJyZyvI+jj3z/LRec5Nsuddf8t0PP85y2cra0D8jC1Kt86rqkJ/S6fDD06JFizzwwAMCaaayzDLL5MVu3XLjXQ/klnsfrNBaKst5ryjlcb2r3mzJJMmAQUMm/2za81mXLl3y0Ucf5YQTTvjdeubGgv45Vfb65+fQ8x988nlarLxeWq+5SW644975ss05MS/TnFQW86PmBx97OhdcdWOefe45gTRTqVKlSjp37pyVVlopW2+9dYYMGfL7LwKg0ujXr1/at2+f9u3b5/LLL6/ocqhkNthggzz66KPp1KlTunbtWtHlADCH/vGPf+Tee+/NSy+9VCkC6aQShdJVqlTJlVdemZ133jl/OWD/jPzxi1kuPyfzRFZk49KsGrcqOrCal4B6j913z+DBg/PvJ5+b4e9/6dsvP/Xpl3322SfNFqk8jXvz2ti4oDZWzkpFv6chQ4floSeeSZJ80uOrjBo9+ndfM6N5ISvD3NfT1vZHMWbs2Bx43KmpU6d2HnvssdSqVauiS6ISWmONNfLCiy/mshtvy90Pz9//zC7IYdOcKK/317Jly2y66aa58Z6HMqMBdSZOnJgPP/oobdq0yU477jhbdc3O/l/YPqfZfb8VaX7s89se+G1492++/6Gw7fzRFRmsP/bsiznj4ivz5FNPZcMNNyzXdbNwqF69eu6///4sscQS2W677TJ8+PCKLgmA2TBw4MBsueWWWWeddXLzzTdX6PySVF5bb711unTpkgMOOCDPPPNMRZcDwGy69NJLc+ONN+bll1/OsssuW9HlTFZphu+eZOLEienU6bC88vJLeeS269O61WJzPez1jBpkig6K5rQRqLIFV3NS/1FHH52PPvooT951U9ouucRUv9thv075umevPPH442nduvVM19GgZFBGjByZ+vXqZWTt+T/U25zs/4puOJ7f5td3c/z40lx/+z0pKRmXDf60Zv684Xrlvo3y/uwq23FbkUaOGp2/HHtqyqrXyPPPv5D69etXdElUcm+++Wa23267nH7s4Tlsv70L3978PHfPr3PDlO+pQcmgQt7ju+++m4777ptTTzklRxxxxFS/e+aZZ3Lc8cfn1FNPzRGHHz7L9YwbNy4TJ05M7dq1p/r5tPtqYbjGTjun9LSmfM+zer+zmg96Zr+fmSnno57Z34v22tvv5rW33k2LZovkgL12Tb26debLdmfHwvC9m5Xy+IwfeuLZnP7Py/No167ZZpttyqEqFmZjx47NbrvtlsGDB+e5555L06ZNK7okAGaiT58+2WqrrbLyyivn/vvvT/Xq1Su6JCq5Rx55JAceeGDuv//+7LrrrhVdDgAzUVZWlgsvvDBXX311Xn755ayxxhoVXdJUKl0onfwaTB977LF54vHH8uht12XpNr8OIzk3DXLzax7neWnUqqwB1++9p759+2afjh2z8jJL5Z4brpjqd7se9Nf07T8grz3+QMY1WGy615aWlubaSy/ILfc+mNLSCdl43bVz29UXp2njRrO9/aLM7PNY2Bsuf09l/Z5ScYaPGJmOf/1b6jdqmqeefjr16tWr6JJYQLzzzjvZdpttcuyhB+TYQw+Y5bJz+4DZ/D5nV0QgXbRLL7sst9xyS1595ZWpHjB74cUXc9RRR+W2W2/N5ptvPsPXdn///Zx66qnp1atXGjVqlIsvumiWgdaUYemC6vdC6WTe3ufcfMcqcg7pBcGC/H2bE3P7+d/9cNf844ob8vgTT6R9+/blXBULq5KSknTo0CE//PBDunXrlubNm1d0SQBMo3fv3mnfvn3WX3/93HHHHQJpZtsTTzyRfffdN7fddps5pgEqobKyspx55pm58847061bt6y66qoVXdJ0KuW4LFWrVs0NN9yQfTrum10OPCqfffl1kszVkLjza1jfeVl/ZR2u8vf226KLLpo9dt89r739Xm6978GUjBs3+Xe7bLtlvu/VO63X3CRVBvee7nOoP3ZQbrrz/pSWTkiSvPHu+/m5T98Zbr8iVdbPpiLYF0yp/8BB2ePQY9Js0VZ55tlnBdLMkfXWWy+vvPpq/nV3l1x07b9mOET0JDPrNTqr89HCdJ6qyLluDzn44NSqVStXXnVVfvzxx8k/32TjjZMkh3XqlOdfeGGGr336qafSq1evJMmwYcPy8n/+M90yf8TpDubkcyyPe9g/2v6dEwvTeeL3zOl5pKysLDfccW8uuOqmPP/CCwJp5kitWrXy73//OyussEI23XTTqa4fAFS8r7/+Optsskm22GKL3HXXXQJp5sguu+ySrl27plOnTuncuXNFlwPAFCZMmJBjjz029957b1577bVKGUgnlbSn9CRlZWW56KKLctmll+Suay/NxuutU9ElzbF5bfCqrA2Jk95XrRF9c9Od9+Wi636de+a0Yw/PCsssnQOPPXXystddeHb22XXqOSfHjy/NxdfdnI8+65GVllsmW/1542y2wbq/u735YWHorVW0yvq9ZP74vlfv7HPk37L+hhvl7rvvTs2aNSu6JBZQX3zxRbbdZuts/Ke1csW5p82yQaSyn5OLPC9W5Hvv3r17jjn22AwYMCBrrrlmrrn66nTcd9/88ssvSZLll18+Tzz+eGrUqDHV6955553ceNNNady4cdZaa63ssfvuadCgweTfV8be7vNqdnpKzy7X2eItaN+vIk35fZs4cWLOvfzaPPbcy3nu+eez1lprVWBlLMgmTJiQo48+Ok8//XSef/75rLLKKhVdEsAf3jvvvJMddtghhx12WC6++OJUqVKloktiAfXf//43O++8c44//vice+65vksAFWzs2LE54IAD8sknn+SFF17IUkstVdElzVSlDqUnufPOO3PM0Ufn2n+elV223bKiy5lrC2tAXVZWlparrD/dz3fbfuuMGTMmr7z5Ti4848Tss+uOqVmzxgzWMGc0Is7a7M5ZWR7r54/no8++yL5HnZgD/nJgrrjiilStWikH3GAB8vPPP2fbbbfJYos0yS1X/HOW881W9vN/ZZwipDzcfPPNufyKqafpqFKlSq6++uqccsop2WyzzfL3M8/MkksuOdUys3rIa0731e/tg6KvfbNjXkNp19f5p6KPqYo0q+9ZybhxOe7vF+TTr77N8y+8mHbt2s3HylgYlZWV5Z///GeuuuqqPP7449lss80quiSAP6xnn302HTp0yIUXXpjjjjuuosthIfDZZ59l2223zQ477JAbb7xRr3uACjJ06NDsuuuuGTt2bJ5++uk0a9asokuapQUilE7+/+Zp771zQqcDc+xhf1mgn8BaGOefLisry233P5y/X3zV5J9dcNrfcmCH3fK3cy7Ko08/nyTZrv1mOaHTQVlz1ZUqqtTZ2v/T7ucFofGyvBv453a9LLyeffm1HHPGP3Lueefl5JNPruhyWIj8evO0S4YOHJB7b7g8i7aY+fyTlfl8vLCG0knSs2fP7LLrrhk1alSSpEaNGvn4o4/y+uuv58y//z2DBw/OyiuvnG232SZHHXVUkllfS+d1X42otcjvrmN+77e5DaUXpuvszPZ5ZXqPleF4Ksq87OdBQ4bm4BPOSGmq5Jlnnk2LFi3KsTL+6G677bYcf/zx6dy5c/bff/+KLgfgD+fGG2/MqaeemjvvvDN77713RZfDQqR3797Zbrvt0rp16zz00ENp2LBhRZcE8Ify/fffZ8cdd0y7du3y4IMPLhBTbC4woXSSfPjhh9lpxx2z6fpr5/KzTyuXXrcVZW4bxCpTo96MDB46LDff/UDuerBrhg4fnkWaNM4u226ZO7o8MnmZ0489IiceeUgFVjnvKmOD5tx8NxaExmMqXllZWW666/5c+a87cs+992a33Xar6JJYCI0bNy6HH94p3V54IffecEVWXXG56ZapjOfeKS2sQ3hPUlZWlpdeeimdO3fOhx99lKpVq2ajDTdMs+bN89hjjyVJ6terl48//jjJzPfH7ATK80N579M5DaUrwz6YZEafybT7Z14e2KsM77UyHENFmdf9+23PXtnv6JOy5trr5N5770vdunXLqTL4Tbdu3bLXXnvluOOOyz/+8Y8F+iFzgAXFhAkTcuKJJ+aBBx7I448/no022qiiS2IhNGzYsOy999755Zdf8vTTT6dNmzYVXRLAH8Jbb72VXXbZJfvtt1+uvPLKVKtWraJLmi0LVCid/DrM54477pC6NavntisvTLOmTSq6pLmysIbSk4wcNTpvvfdB/vtO97z46n8zbtz4rLvmallz1ZWz9y7bp2njRhVdYiEqssFzQflusGApGTcup//zivznzXfy5FNPZZ111qnokliIlZWV5eKLL85FF12YGy8+L5tsv3tFlzRX5sf5uKIDts8//zwffvhhnnnmmXz73Xdp1apVtt5666y91lpZf/3fpvRYEK9Nc7tvfy+Urmz7Yn59hyr6fVf0sVK0ed2/r739bjqddFaOOPLIXHTRRabloFA9evTIDjvskHXXXTd33nmnByAACjRs2LDsu+++6dmzZ55++uksvfTSFV0SC7HS0tIcd9xx6dq1a7p27ZoNN9ywoksCWKjdd999OfLII3PppZfm6KOPruhy5sgCF0onyahRo3LggX/Ju//7X+6+7tKsssL0vakqq4V1Xml+U1GNn74blLd+Awbl0BPPSGmq5vHHn0jr1q0ruiT+IB599NEcdNBBOezQQ3P00UcvkCHJ/D4nV+bgbUG+Ps3Jfp1ZKF1Z33/R35mKft+V+ZgoL/Oyj8vKynLzPQ/m0us758abbspBBx1UfoXBLPTv3z977rlnRo4cmccee0xvKoACfPXVV9lll12y9NJL54EHHkjjxo0ruiT+AMrKynLjjTfmtNNOy3XXXZdDDz20oksCWOiUlpbm9NNPzx133JEHH3wwW2+9dUWXNMcWyFA6+fVCd+GFF+bSSy7JNRf8PTtv077CapmfjV4V3cDH79NbmoXBh5/2yMEnnJ4/b7FFbrvt9tSpU6eiS+IP5pNPPsnOO++cFZZfPpdddlnq169f0SXNlfl5Xq7MIdyCfH2a3f06KZReEN5rUd+Vin7vs/O+pqxxVtOYVObjKZm3fT22pCR/u/DavPnmm3n88cez3nrrlWNl8PvGjRuX448/Po888kgeeeSRbLbZZhVdEsBC49lnn82+++6bI488MhdeeOECM5QnC49XXnkle+21Vzp27JirrroqNWosuNNvAlQmgwcPTseOHdO7d+88+eSTWWaZZSq6pLmywIbSkzz55JM5YP/9s/+eu+SsE/6a6tWrV0gd87vhqqIb/Zg5DymwoLvvkSdy1iVX59zzzsspp5xizj8qzKBBg7L33nund+/eueH66xfYm61EOD3Jgn7dmtW+Xbpduwzo8e58rGbeldd3paI/1997H+VVX2U4tub1vfToPzrHHHts6tWrl65du6ZVq1blVBnMuc6dO+fEE0/MBRdckL/97W/uOQHmwcSJE3P++efniiuuyC233JJ99923okviD6xnz57Zdddd07Bhwzz88MNZbLHFKrokgAXahx9+mN133z2rrbZa7r333jRs2LCiS5prC954mNPYeeed81737nnt3Q+yZ6fj0n9gxTSKVcQwnZWhYYyp+UxYkI0ZOzYnnH1hLr7+ljz19NM59dRTNQ5SoRZZZJG88MIL2X333bPHnnvmueeeq5A6GpQMmurP3HB9+NWk+5fZ2R+VcZ9VdPha3ub1/czLMVEeZvRdmvZ4Lc/65vf7LY/3MuUx99T/Psuuu+2WTTfdNK+//rpAmgp3xBFH5OWXX87VV1+dDh06ZMSIERVdEsACafDgwdlxxx1z//3356233hJIU+Hatm2bt99+O23bts2aa66Z119/vaJLAlhg3Xnnndlkk03SqVOnPPbYYwt0IJ0sBD2lJxk1alQ6dTosr7z8cm6+7Pxs+Ke15nsNFd14urA1lC5oKuLzryw97/5o370RtRZZ6N7z97165/CTz0qdBg3zyCOPZokllqjokmAqjz/+eA488MDsscceOfWUU1KzZs35XsO0x/2U58VZnRMmLVdZztmVzYz2y+zu28qk+UrrLnA9pZO5+64sKJ/J/FLex9u87N8Z1TJhwoRcd/31ueuuu3LzzTdnv/32m5fyoNwNGDAg++yzT3755Zf8+9//ziqrrFLRJQEsMN5999106NAhq6++eu666y7zR1OplJWVpXPnzjnppJNy3nnn5aSTTkrVqgt8HzmA+WL06NE5/vjj8/jjj6dLly7ZcsstK7qkcrHQhNLJrxe6f/3rXznllJNz/GEH5vhOB87XC11lagDWWDh/LYjzSBddc1HfwfIOhMtzPyyox93jz3XLyf+4JAcfckguu+zyCgn7YHZ8++232WuvvZIk11x9dVq3bj3ftr0gHt+V6b5kXiwo+35BDaUnmV9DYC+syuN4K+Kerl+/fjnxxBMzZOjQPPLII8I+Kq3S0tKcf/75ueqqq3LttdfmkEMOMWIPwCyUlZXlmmuuyVlnnSXso9J77733svfee2ellVbK3XffnWbNmlV0SQCV2hdffJG99947jRo1SpcuXeZrG2jRFqpQepKPPvooe+21Z5Zo2TzXX3hOWjafP42ylbHxVwPi/FMZPv/Z6ak3P5XnHI6VNYiemZnVO6NhRivKmLFjc85l1+XJF17OnXfdlV122aXCaoHZNXbs2Jx00km5//77c/FFF2WbbbYpdHsLw3W0MlyfZteU+/v3zpeV6XyaLPihNOWj6J7nc7L+119/PSefckp22GGH3HTTTalXr94c1wbz20svvZT99tsvW221VW666aYFfmg6gCIMGjQohx56aD744IM89NBD2WCDDSq6JPhdQ4cOzaGHHpp33nknXbp0ySabbFLRJQFUOmVlZbnnnntyzDHH5Jhjjsn555+fGjVqVHRZ5WqhDKWTZMSIETni8MPTrduLue6fZ2XLTTcqdnuVvMG3ohtq51TtUQNTWjoho8aOTaP6M29AG1uvcj1ZVxl6TBdZw+8FAnPymor4Tlam47Sij8nPv/omfz3tvDReZJE8+OBDadOmTYXWA3PqkUceSafDDst2222XM888M3Xr1i33bVT0cVreihxieG7WPWzYsDRo0KBce3RU5Gf2Rwil5+a6X95qjxpYbuuqiPvIuXmYYk6Pr5KSklx51VV56KGHcv311+eggw6ao9dDRevTp08OOOCA9OzZM126dMm6665b0SUBVBqvvPJKDjjggKy99tq5884707Rp04ouCWZbWVlZbrzxxpx22mk5+eSTc/bZZ6d69eoVXRZApTBs2LD89a9/zUsvvZS777472223XUWXVIiFNpROfr3Q3XfffTn6qKOyz6475OwTj07tWrXKbf2VKeCaXZW5gX1SI+OoMWPz0tvv59iLrsvQ4SNzzenH5JDdy/cALKoRcmEPpctzO3+kuVUr03FXVlaW2x/4d/559U056eSTc8455/gPAAusXr16Zb/99ku/fv1y9VVXZaWVVirX9VemY7cI5Xken5N1ffX117n+uuvy3PPPZ6UVV8xjjz1WruehivrcFsZQem6/I3P7Gcxu4FxjaP+Z/m584xZzte1k4XjY8bvvvsvfTjwxtWrVSpcuXbLccssVUBkUb+LEibnyyitz7rnn5uyzz86pp56aatWqVXRZABVm/PjxOffcc3PttdfmiiuuyJFHHmmaAxZYn3zySTp27JhGjRrl/vvvT9u2bSu6JIAK9dZbb2W//fbL8ssvn7vuuiuLLrpoRZdUmIU6lJ7ku+++S8eO+2TksKG54aJzs+qKv984U9EhVlEqawN77VED80v/gbnuvq656cEnpvrdjWcdnwN23rrwGsqjIbIyDJFd2XrCzc56i1TRx3JlOub69h+Qv51zUb7u+WPuf+ABQyWxUCgtLc1FF12USy+9NMccfXQOO+ywcmm0rkzHbtHmx3myrKwsXR97LKeeeupUP19puWXyn0fvzag6zct9m/P7M1zYQul5+V7Mzr6fUQA9q7C5vMxLaD2n5uXeck73/6SHcS+7/PIcddRRufDCC1OzZs253j5UFt27d8++++6bRRddNPfcc0+WWmqpii4JYL778ssvc8ABB6SkpCRdunTJyiuvXNElwTwbM2bM5Km5rr322hx44IEetAD+cMaPH5/zzz8/V111Vf75z3/m+OOPL9cRBSujP0Qonfz64V544YW57LJLc9IRh+ToQ/afYaN1RQdY81NlaHCf1CA5euzYrLXn4fml/681bbfe6vnTWqtnyw3WzhorLDPf6pnXYLoi5youzzpmtI2ScePSf+CgVF1kyXme263o716/AYPy/HufZ7NNN80ii/y2L4ZNbDTVcuPHj5/pnAyNqg6bo21269Ytb739ds76+9+nOrdUhuMsSZ584eWccv5l2WHHHXL99TekcePGFV0SlKt33nkn+++/f5o0aZLLL7ssrVu3nuN1VJbjtbzNznDBRV+/rr/++lxz7bWT/33CCSdkySZ102GXHVKjRvX5NspHkRbkULqsrCwDBw/J+PHjU3eJ5Qt7sGNmPaHnJIyeMGFiXuz+aRrUqZ2NV1t+5ssN+nWd1RaZOoSeFErP9jaHDMzA4aNy1gPPpNNWG2TtdrNxbmny2/3ktCH47Nxrzunx0Ldv35x+xhn54Ycfcs899+TPf/7zHL0eKrtRo0bl5JNPzgMPPKDRGvhDmThxYm688cacfvrpOfroo3PBBRekVjmOAAmVwTPPPJNDDz00G264YTp37pzmzcv/gWWAyuiLL77I/vvvn9LS0tx7771ZbbXVKrqk+eIPE0pP8u6772a/fTumScP6ue6fZ6fF8mtWdEnzVWVocJ+2QXL02LHZ+ei/5/0eX2e9VVfMWx99nsuO7JgjD9l/jtc9bQPjnPSGWVgC6aT8htscMGhw7nzw0Tz32tv58ssvM2HChCRJmzZt0vnmm7PsssvO8zYmmfS9mPJzGDlqdK655c5s3/7PWWu1354Entn7+/zzz3N3l655quuDGTeuJC0XbZWHn349DRo2+rXBvX+/vPnfl/PSc0+mzy8/5Yfvv8mW2+6cE047L4u1WmLyesaNK8lX3V/KsGHDsuyyy2b48OEZPXp0llhiiYwdOzZff/11+vXrl3HjxmX48OH5vmfPvPrqq0mS9959d/KcTmVlZSkrK5vq6ab5fQwOHjosZ150ZV5565107nxL9tprr/m6fZifJjVa33fffTn99NOzT4cOUzVaV4Zr4Pw2q+tBUSNhTOuRRx7Jaaefni233DIvvfRSGjdunP++/nrq1q2bBiWD5vsDgUV9D5qvtG6+/+67QrdRnsrKyvJ0t1fyyNPP5+33P87QoUOTJDVr1Mixxx6bo446ap63MWk/THvvN+l+7Zm3P8pnPXvntH13muV6xjdukWEjR+Wh517JzQ89mW9//DlJcvOJB+fAbTdNkozp1yfvf9s7j7z9Ud795sf07D84NatXy61HdchmG62XWjX//yG0IQPz1c/989GnX6Zlo3ppWrd2evb8JY1q18wSbRbLl30H5fsBQzOyZFxKSifkl6Ejct//PkuSnLn9hjlj+40m1zVxYlmqVMnk80z15lPcdzaZ/r5yyvvSGd13zk3v6CeffDLnX3BBdtppp1x//fVp1KjR778QFlDPPvtsDj300Ky33nq5+eabF+oh7QB69eqVww47LN98803uvvvubLbZZhVdEhRm4MCBOfLII/PGG2/k5ptvzq677lrRJQEUZsKECbnuuuty1lln5Zhjjsn555//h3ro7A8XSie/NlqfccYZuf322/O3E07IgQce+Ls9QoZNbDTHPScro6IbSWd3LsApnXz5v3LPEy/kksP3yWmdu6RkfOlczSM9sx4vsxNMLwiB9CRF9ZRuUDIoo0aPScm4cXn4iWfz7ocf552PPsuoUaOy1ZZbZp111skSSyyRPn365My//z2tW7fOmWeemfZbbJFq1aqld+/eGTZsWFZaaaVZDjExo/pHjR6Tl//7Vnp89U1q1qyZ7/sOzugxY/Lhhx/m559/Tr169bL77rtn1KhRqdWgWYYPHZpWSyyZ6tWrZ/ToURkyeGD69fkl77z1Wpq1aJl99j8sG2+2ZQ7bf5fUrlMn9erVz4D+fTN61KhUqVIla6+7Ydotu0JGDB+eZ5/8d5Jks/bbZtnlV0r/fn3y2svPZ9jQIbPcXw0bNU7NmjVTt179tFx08bz3v/8mSRZp1jwlJSUZNXJEpjy9rvunP+Xuu++e7aE05/ZYnfKzf7Fbt5xzzjlZd911c8stt6RVq1ZztU5Y0Dz//PM57LDDsnTbtrnwwguz+OKLJ1kwgsIZmfbaOqfXrCnPC/MriJ7k22+/zXbbb58999wzP//8c9588820a9cuTz7xRGrXrl349mdXeUyFsXS7dpND6ZmttyJNnDgxo0aPzseff5mHnng23/3cL927d88aq6+ezTbbLMuvsEJq1qyZ08/8ewb275ezzz47W2+1VVq1apWSkpJ8+OGHWXnlldOgQYPJ65x2BJJJ98rThtEffflt/vPOByktnZihI0amz88/ZdjI0Xnp/c+TJIfusX1GjylJ/Xp1Mn78+FSrVi1tFmuZkWPGpM//j6Lz1KtvZeTosdlhgzVy0t7b55an/pN/v/pOlmreNMPHjE2fIcOTJK0a18+WK7ZNy4b1cuvrH2bomJIs2bRhdlp+yVRNlfz3hz75qM+s71drVaua+jWqp1bNGlm0fp188Muvyzet8+t/EkeOG59xEyYmSaokKUvy8L7bZLsNV/stmJ6DUHpuvm/9+/fPOeeem48++ig333xzdt999zleByyIBg4cmGOPPTYvvvhirr/++nTs2FGvaWChUlZWlltvvTUnn3xyOnTokCuvvHKeR6uDBUFZWVnuv//+HHfccdluu+1y3XXXTTX6IcDC4Ouvv87BBx+c/v3754477vhDTq/5hwylJ3n99ddz8MEHp2nTprnowgvTrl27yb+btpFtTlXmALu8G0jnJoie0r7Hn5U3Pv0qay67VP7X49t8+/z9aVCv7hyvZ0ah9MIWSM+NcePGpUaNGjNsrBk/fny+79kz73fvnhdffDFv/+9/KS0tTfXq1bP22munbdu2ObxTp7Rp02aq173w4os599xzM2DAgCy//PJZZJFF8r///S8TJ05M3bp1s/TSS6dJ48bZf//9s+WWW86wrpoj+uSJNz7Kf994I91efDGDhwxJ8+bNM6G0NIsu3iZ169VLqyWWzBJLLpU3X3spI0eMSN169TNyxPDUb9AwX37+Seo3aJi6deulQaNGqV27Tjrsd2i23G7nyQ+ZfPzhe/nPi88kZWVZpHmLtF6ybVZdY+00a94yya83vF998Wnef/etdHvuyfTr83MaNmqSjTbdItvtvGcWadY8P3z/bRo0bJR69eqn948/pGbNmll2hZVTv36Dqd7PO2+9nnffei116tZNjZq1Uq9+g1SrWjVjJtTOFef+2tvs3kdezEqrrjHThrNpzxtz+wDCoEGDcuGFF+a111/P9ddfn/32209jHX84w4YNy0knnZSHHnoop512WjrtuuUCMyfLnF5XK/N17O23387+BxyQXXfZJY8/8UTOPOOMHHrooQvNw35TmlEoPUlR4fTEiRMzYcLE1KhRfbrfDa/ZNIMGDcqnn36aV199NS9265b+/X+9V1p66aWzdNu22X777bPLLrtM9boBAwbk5DPOyZuvvZS6detmgw02yMcff5wBAwakSpUqab3EEmmxeJssvsSSOefCazJ8XP00qjUqya/XsUnv9buPu+eZ1/6XF996L+9++mUa1K2dGjVqpknD+lm8RbNUr149m62zWj7++vt8/m3PNKxXL6PHjk2N6tUyaOjwDBwyLE0b1EuLxg0zZtz4bLvuajl2j63TapEmyZCBGTm2JDc++0YGDhiYejVrZPGa1bNi8yZZbbFFUvX/r3kDR43J6x9/m6d7/pJPBgzJxCQrNW2YrRo3ybqLNErfseMysrQ0i9WulWHjSzOgZFyWrl83i9WulapVqqTREk2SJIPHluS+L37IhLKy1K5WLXVrVM+EYWNSrUqVdO03IJ8MHJqtlm2d+/+6Rxosvvh0gfTvDeE9J8dgWVlZHn/88fzzwguz7bbb5vrrr0+zZvN2DoAFUdeuXfPXv/41G2ywQW666SYPXwILhZ49e+bwww/PV199ldtuuy1bb711RZcE812fPn1y5JFH5p133slNN93k4UtgoVBaWpprr70255xzTg4//PBceOGFqVt3zjOwhcEfOpROktGjR+fvf/97OnfunMM7HZ6Oh5+SmjXLr6v8gtDgOq8NpXMTStcY2j9f/dgn/3ripay81OI56V8PZPV2bfLhNz9kiZbNs9c2m+WwPXdIqxbzr5Ft2gbC2qMG/m5Df2UOpMvKynLTv/6V6667Losvvnj+9re/pd3SS2fFFVfM448/npdeein/eeWVjBs3LtWqVcu6666brbfaKnXr1csmG2+c2s2X+91tfNj9f3ng7s4ZP358Nt5sy7RaYsl8+/UX+eG7b/L4I/dn7732ysUXXzzd6954442cdvrp6du3b9q1a5f1N9kqHfY/NEssudRsv7+JEydWqoBpWEm9mf7u2cfuzk2XnpJRo0amUeMmWWW1tTJhwoR889XnOfXsi7PltjtPDo3n5ZxRVlaWxx5/PBdddFE23XTT/Otf/8piiy021+uDhcELL7yQww8/PIs1a5orzzs9y7VrO90yU17HZnXen5vr3ewGxvP6gNfcbHNK5X09mzBhQm677bYMHz48PXv2zFtvv52WLVrkxx9/zOZbbJG99947m2266UL1wMy0oXTRvaR7fP1tDj7+tPzcp18OOeSQrPOnP2XDDTZIr1690vWxx/L888+nd+/eSZJWrVpl2222yYorrZTFFl0066+//iz3/bCJjTJi+LDc0fnafPn5J2m33ArZdPNt0rfPT/nu6y/z8P13pKRkbJ59Z0Dq1K2XRrVGTQ6kR//SMyddflMeffH1NKxbJxuvs1r222HLbLfJeqleffbmqq4+pN90019kyNTHSOmA3x5GHNtv6n098peZH0/Dfpp6JJRBXw6d/PdFVmg8W/VNaXST2jnq5e75aMCQVK9aNassuViWXnSRvPf9z1lz2Ta56/QjUr3lb1OEzKyH9OzM9T7o209yyvmX5qvve+Wmm27KbrvtNsf1wsJk0KBBOf744/PUU0/lkksuyRFHHFGp/n8AMLtKS0tzzTXX5Lzzzst+++2Xyy+/XO9o/tDKysrywAMP5Pjjj88mm2yS66+/PkssscTvvxCgEvrggw/SqVOnjBo1Krfddls23njjii6pQv3hQ+lJ3nvvvRx62GEZPbokZ55/RdZcZ/1yXf+UQdOUvbArU2g9t42ncxtKd/jH9XnyzQ8m/+zsv+yaHTdYM/964qU89sYHqVIleeDys7PxWqvOVV3lYVYN++XZgN+9e/d8/c03adyoUf785z8nSf7zyisZNnRomjVrll4//pghQ4akrKwsLZo3T6tWrbL55ptPNdfAxIkT07dv3/z3v//N/955J1/06JFvvv02HTt2zJtvvJEfe/dOlSpVsuSSS6ZXr15ZddVVs91222WN1VfPSiutlAYNGszzCAFJ8lWPT9P14XvzSJe7cvyp56bjAZ3y5AM35sOPPsrQoUPTs2fP9OnTJ+tusGlOPfviLL3M74ffMzOrIHhKk3pwlafZ3fYkNSf0z/vvvpXPP/0on3/yQcrKyvJT7x/Sq+evAcZuex+Qs/951eTl5/Tc8MMPP+Tsc87J99/3zE033aihGqYwatSonH322bn55n/lqIP2y/GdDkztWrXKNQield8LiX+vjplNTzHJrEYFmZehvufGpHuJt977ILse9NckSf169VKzRvW8+trr6dKlS5588sl83qNHOnTokAvOP/93p1CpCLNzPZz2PD0plJ72fmrosOF59JkX0rhhw6y4XLustNwy+fjzL9L9o8/SuFHDlIwryY8//ZIxJSWpX69ellisZdZba/Us3WbJqdYzctSofNLjqzz/yn/zyTc/pHv37mnXrl3atWuXZ555JmVlZVlsscUyePDg1KtbN1tuuWU23XTTrLzyymnduvUcPQAws/c/auTIPP34Q+lyzy0ZN25c7nv2iwz79oU81uXeDOrfJz/3G5ivfuid2jVr5pITO2XvbTdPjerT9+L+PdN952czkJ5VGD3JtKH0vJrUm/rHalXzwbCRebdnn/QZXZLaNarn+Q+/TJI0bVAv7z7cOS0WaTL5mJz2WJtVKF17ZL/cfE+XXPmv23PAX/6SSy+91NzRMIUXXnghRx55ZFq1apXOnTtnlVVWqeiSAGZb9+7dc/jhh2fMmDG55ZZb/pDDeMLMDBw4MCeeeGIe//8OGH/9618r5f8fAWZk1KhROe+883LjjTfmlFNOyRlnnFGpprKrKELpKYwfPz5XXXVVzr/ggrTfesccd8o5WaTZ7w//XB4W9HB6Thr2JzU0XvHQMzn79kfSsf0GefA//0uVJDf97eAcuO0m6V+1Tg484+K8/XGPnHXEATlu/90rpDfVnIbSk3rv9ujRI71/+il/3myz1KpVK8OHD8+oUaPSokWLjB49Ol999VW++fbbdH/vvXzw4Yf58ccfJ6+jTZs2mThx4uTeTUlSr169yfOo9O/fP2PHjk2bNm1SvXr1jBkzJhMnTsywYcMyZsyYVK1aNautumqWW2657Ljjjtloo40yYcKE9O3bN888+2y++OKL7LjDDmnfvv1MH5CY0bCqs9NA//67b6bT/rsmSf5y2DHZeLMtc93l5+eLzz/Omuusn8ZNmmaJ1ktltTX/lM3abzvXn+mcBsLTmpeQel62Pe12x48bl7feeCV/O3L/JMmW2+6Uho2apEaNGqldp27aLbN82m+7UxatN36m6xwzZkz+9a+bc/sdt+eggw7KJZdcoqEaZuL9999Pp06HZejgQfnnaSdkp3VWmON1zCognpdweGbX0d8LpGd3+3NS09wE09PeOwwaMjQrbrxNVlhm6YwtKckPvX/OmmuskTvvvDP169fPo48+mjP//vesvdZaueqqqyaP6jCzOYpnZkbXsRmtozweupp0jR81cmQ+euOprLjiimnbtm3GjRuXgQMHZvU11ki/vn3T78sP8tW33+fTL7/Om+9+kE+/+CpjS0qSJNWrV8u6a66et977IFWqVMmk2/BWi7ZIndq1M3zEyAwYNDh169TOMm3bZOjwERk/oSzjxo3LoEG/7uNFW7bM6muskdVXXz37duyYBg0aZNCgQfn222/T5cEHs1SbNjnssMNSv379me6raffX7N6Hrr3OOhk6dGiWW265nH322en++ku5/vZ7s9Tii2bZJRdPqxaLZPm2S2aPLTdJy2ZNk5Tjd3+KYHpSKD2ngfS0yiugbrREk9Rv1Sy1W0597Hw1ZmKufPKVdPnvB1m8RbNssd6aqdWwSapUSRZr2SJbbbpRll9m6Rmuc9Jx+PHrL+T0C69MtZo1c8stt/7hn6iGmZnU4HPDDTfkqKOOyrnnnquXIVCpDRo0KH//+99zzz335NRTT80ZZ5wxVccD4DfdunXLX//61zRq1Cg33nhj1l+/fDuTAZSnsrKyPPLIIznxxBPTpk2bdO7cOSuvvHJFl1VpCKVn4Mcff8wJf/tbXur2Uo447tR0OmDPVJ+il0d5NGzOjsoQVD/00EPp27dv2rRpk8Ub1EiTRg3TqGH96XrvzGkofekDT+W8u7omSY7fc5ts+6fVsvPfr8r40gk5ce/tcu5JR2fc+NKc/6+7c/39j+WKU/6aw/faca7fR1HzTU9qMOzfv38O69QpPXr0SIsWLdKvX78kSZ06dVKnTp0MHjx48muqVq06uWF7heWXz7rrrZf111sva6+9dnr+8EMuuOCCNGvWLKecfHKaN2+e7u+/n/ZbbDH5ScCysrK8+eabuf+BB9KqVavUq1cvVatUSf369dOuXbusssoqad68+XS1lkcP/Zl994eV1MvEiRPzt0O2zSfvv5G27ZbLUm2XySsvPZull1k+5118XVZZfa252uak9S/Mqo3vm8vOPz29fvg+paXjM378+IwdPTo/9f4htWvXzkvduk03DHdZWVle7NYtF154URZrtVj+ddNNWWeddSroHcCCY8KECbnlllty5plnZN01Vsvlxx+Ytov//jD3sxsOz+jaMrdDeM9JID2r7c/Mj33655p7H8mqy7ZNg5ZLpFXLFimdMCHLrL1xatSokWTmD6pNuv7N6Pdff9cz+xxxQn7q0zdJ8u3/Xs7ehx+XDz75PEsssUQeuP/+LL744nn77bdzyqmnpkGDBrn70ZdTq9bMnxad0XVrbu7H5vZ68vBt5+fWm65M3br1MnzY0Mk/X3LJJfPzzz9nwoQJSZJq1apN/nuzpk2y8XprZ+3VVsn2W/451atVy5U335GPPuuRvXfePod03DOvvvVOVlx2mSy+WMvJ6xwydFguub5zRo0ek8VaNk+1atVSo3r1LLlEqyzfrm3arL7BHA1PO7P9NKf3Au+++2467rtvkuSIww/Pfffdl7KyiTl2v91y2iEdJw/NPS9znM/yGPj/ULq8AulpzW5APaln9LTqt/r1fU8ZTFdv/uvxeN97X+aeF9/I2IlVMmrMmJSVJT/83DdjSkpyzknH5JhDDpj8mknHVt++fXPxJZfk1Vdfzbnnnpvjjz9+8nEJzNznn3+eY445Jl999VUuv/zy7LvvvgvVVBHAgm/ixIm57bbbcuaZZ2a99dbLtddem2WWWaaiy4JKb+zYsbn88stzySWXpEOHDrnkkkvSosX86UwGMLu++OKLHHvssfnss89y2WWX5YADDvD/kWkIpWehW7duOfqYYzJxYpUcc/LZ2XTzrSvdF6jI4PqHH37Ittttl/Hjp++luffO2+eGi89N8lsD4pOvvJmf+w/KXltvlob166Za1apTDakyZcPiHmdfk2ff+fi331WvlvGlE1K9WtWUTpiYblecnvU2/XXIopMu/1fu7Ppcbr3qouyxwewNxTYv4cGUZtSwOqLWImlQMigjai2S3r175z+vvJI77rgjY8aMyeGdOqXbSy9lwoQJ6XTYYXn/gw9Sr27dLN2uXcaNG5cXX3ghm266adZZZ50stdRSqVWr1hz1UKooswqjJ+nf96d02Oq3obibLtI8p53z23zJUy47o57KsxMUzKyHc1Gh9ez0qC7PbTeqNSqlpaV549VuefTBu/Pm6y+nbt26eerJJ7PUUktNXu7Tzz7LxRdfkm++/SaXX3ZZDjroIPPnwRwaOHBgTj/99Dxw//05uOMeOaHTQVm0+riZLj8vPZbnJKSblx7TM7umTfvaScudcfWtubHL4zN8zVtvvpllGv/2QN6AQYNzy70PZvv2f86qKy6X0gkTUnsmPTlee/vd7HXYsVP9rO2SS6Tnjz8lSXbY8s+589pLkyTdfxiYXXfbLetusGmuvOmeeQrdpr3OzOj8PHj0rHufNK1bMvnvY0aPyifvv5GXn7oz3Z57Mnvte3DGjSvJF590z2677ZbS8eMzdOjQLLXUUlmsVau88PzzqVe/ftq3b5/ll1tu8ggnRc0tXd7zgP+evx19RJ584eXJ/95vj51z1t+OziJNGs/W62dnuOpJpjwOJn9/ZxFKJ78fTE8KjefkNb9n2nVO21N6UiidJr8t99XICbmz63O558kXM2T4iJx81GE59ehOv9U0alSuuqdr7rjjjuyyyy654oor0qpVq3mqE/5oysrK8vDDD+ekk05K69atc8UVV2SjjTaq6LIA0q1bt5xyyikZPnx4rr322uy0004VXRIscH744YeceOKJefnll3PGGWfk+OOPT506dSq6LOAPrn///vnHP/6RO+64I0ceeWTOO+88o5nOhFD6d4wfPz6dO3fOeef9I22XWT7Hn3JuVl5tzdl+/bwEbXNiylBz0KBBWXe99ZIk66yzTlovsUQee/zxbLbZZlmydev86U9/ypZbbpkaNWpk4MCB+bxHj2yw/vrTjWf/xhtv5MCDDprh9tZefZWsverK+eSLr/LFN9+lcaOG6dX756mWad60cTZfd400adggrZovkivueiiLNWmUFdq0yiIN66d2jRoZNbYkT731QcaXTsjY8eNTOmFiGtStnbdvPC9LrvzrXNLjS0tzyFmX5ZnX/5dn778967edvhfwlIoOpJNfvxcH/OUvee+991K9evVsscUWOf2009KmTZvpXlNePZQqwoxqn9V3+psvPsrnH7+Tps1aZu31t0i9+vM+ZN6cHh/lERLP6zE5JzU0qjUqv/z0Yz75qHu+/uKzPPvkI+nfr09WW2217LXnntlpp53SoEGDJMlPP/2UK6+6Ki++2C3HH39czjjjDBc3mEcffvhhTj7ppHz44Qf52+EH5+COe6RWzZqzHAFkTobw/r0hsmcUzP3e6CM7djopr3/8ZRZt2ihb/2nV3PPCG1m0WdPstPmGqZLk/GMOTtWqVVOrZo38550Ps9Tii6Zd66lDrYkTJ6bx+jNuBKtVq1b23GOPDBkyJJ98+mmGDxua4SNGTrVM1apVs8n666Tl4m3SomXL9Pjo/bz57vvZ+s8bp0qVKmnZvFlGjxmT9z/5PL/07ZeSknEpGfdr6P+3ww/OGccfOXldz7zzeTodcUS23GGfnHZB58k/n5Nz8e+dd38vjJ7WWy//O1eeuU+SZMmlls7BRxyfA/bcfo4eTiwqjJ5kfoXSk97HiJEj8+zLr2f8+PFZe/VVsuKy7cqtpt87DmoM7f+7ofS8mlVAPaNAe0ozDaOTjBk3Pm/0HphvfuqXp9/+MK982CONG9RLh+22yP47bZXl1/r1nr20tDT3d30yl914W5ZZdrlceeWV2WCDDebhHQGjRo3KVVddlcsuuyxbbbVVLr744iy//PIVXRbwB/TJJ5/k1FNPzTvvvJOzzjorxxxzjKG6YR69+uqrOfnkk9OvX7/885//zP7772++aWC+Gz16dK6++upceuml2XzzzXPppZdmhRXmfLrAPxKh9GwaNmxYLr300lxz7bXZcJMt0umok7LcijPutTu3odicNL6OG1eSjz94L0888kD69/sl9es3zPDhQ9Ny0VapVq1ann784Zm+tkmTJhk2bFhq166d0tLSjBs3Lk2bNMmWW22VWjVrZq21187Sbdtm6aWXzjfffJOjjjoqff9/OOr69eqlYaNGqVOz+q/DTy+zdFZdcfkMHDQ4I0ePzuYb/Tqnx8hRo/P5V9/ksy+/ztBhw/ND758ytmRcllp80Sy9RKv06v1Tvvvl10bFxZs1yU4brZV2rVqkzbLLZYM1Vk6j+r/tw1Fjxuaie57I9bffk8vPPS0H7r375N8V0aNsklmF0l988UV2/P8nWj/68MPJoeGMzMnwohUdVM9Oj+gpDR5da6peZeWlPB7UmNPjsDy2Obt1VB/fL/999cV0e+7JfPPV5/npxx+SJE2bNs22226bDnvvnVVW+e380qdPn9zcuXP+/cgj2WuvvXLRhRemdevWhdQLf0RlZWV54YUXcsopJ2f40KE5odOB2Xvn7VOz5ox77c7OlBVzMl/zpEBu0nrLysrS5+sv8tB//peX3v8sDevWycgxY1Ovdq00b9wwb3/+Tb7+qe9Mt924Qf0MGzkqjRrUy9Dhv4bJ2268blo0bZxlllw8f1plhSzZqkXqLtY2/7ji+tz10KNJkipVqmTxRVumevXqmVg2MYsutnhWXW21NGrUKD179sziiy+e9ddbLz/06pWSkpK8+uqrGTZsWPr06ZMBAwYkSdZbd91UnTg+73/8WcaNH5/q1atly003yuorrZAll2iV1VZcfro5dJ948+Ocdc55qV23Ye564oPJP5/d8/Lc9IhOksEjph5hommDiZP/fviOi2fQgL458fTzs9/BR6ZKlSpzfI1eGELp2XkP5VnHtNubdExM2Vt6bkLpSaHx3AbZ04bO05oyhC4rK8uHPX/Og298kLe+/Slf/PBzRpeMS43q1bPuqivkgJ23znY775I6//8waGlpaR57rluu7nxXUq1aLrvs8uy6666VbnQmWJD169cv5513Xu66667st99+OfPMM7P00jOezx2gPH355Ze54IIL0rVr1xx11FH5+9//nqZNm1Z0WbDQmDhxYh588MGceeaZadCgQc4999zsvvvuRhMECjd27Njceuutufjii7PEEkvkiiuuyKabblrRZS0QhNJz6Oeff84ll1yS2267LRtt2j6HHXVSll9p1emWK89ArPs7b+bkYw7K2n/aMGPGjM77776V8eN/7W3Upm27LL/iqhk5YngaNmqcfn1/ycSJE9K8xaIZO2ZMBgzol/HjxqV6jRoZNWJ4SktL06x5y2y38x4pLS1NlVTJhmuvmCeeeCLPPPtsqiQZPOTXOfWqVauWpk2bTm5ontJ9996bDTbYYPIw1jMzqXGxtLQ0JePGp17dX4dTKSsry7cfvZfq1apl+batZ3iz0Le0Zt776JN0eezpPN3tlWy92cb512X/SIP69WcrECjveaQHlNXLBx9+mFdfeSUvvPhifvrpp3To0CEXXXjhTNc1N/NdVkQwPas65/d8zkWFwxVt2NAhef7prnml27P5sPv/Mn78uKy5xhpZa621strqq2eTjTee3Ot50ufRt8/PueuWa/PEo12yww475Lxzz82qq05/vgHKx4QJE/LQQw/lH/84L2NGjcoJnQ5Mh112mGk4XR7GlpTkmDP+kTffeS87bLp+nnvt7QwaMTITJ5alTs0a2XKdVTO+tDT16tTK6LHjMnDYiDSuXzf1GjVOv0FDMnDI0NStXTujxoxNybhxqVmjRjZdZ7WsvdJy+anfwPxp1eXTd8Dg/OvBJ/Njn34pnTAho8f++jBR08aNUjJufEaNHj1VTe032SBdbr5m8r9nJ3T8eXjV1K//2wNapUO+T+/evbNqq0Zp3Gj6UTMmTJiQz778Ou9++EkuuPqmVKlaNcef/0C22Wbr6Zad9rowqwelZvjz/w+fpwydp1VWVpYxA3vkvbdeyluvPJPub/86TPUTL72b1ku2/a2WObhGFx1KT1KeofCk68+k9zmj91BkGD6zUDqZcW/pSSaFzb8XHs/KlMHybJliSO6JEyfmv598lQf/83Ze7P5Zfhk4JM2aNMoWm2yUFZdrly032TDLLr1UqlatOvk9jazVOF2ffTHX3HJ3SsvKctZZZ+cvf/mLeaOhQF9//XX++c9/5uGHH85+++2Xv//978JpoBBffPHF5DD6wAMPzJlnnjnDkfWA8lFSUpLbb789F110UZo0aSKcBgozZsyY3HrrrZPntT/nnHOy6667Ot/MAaH0XPrll19yySWX5NZbb826G26WAw49Kmuts8FUvRrmdOjuYUOHpEHDRlN9gYeV1Mtr3R7PeSfuO/lnR550URo1XiRt2q2QFVZZZ457Uvxe6Ddk8MAM+7lHPu/RIwMHDEjLli3TvHnzDBs2LD//8kt++eWXHHP00fM8v12DkkEZN258XnztjVSpUiUjRv5a16ThCz/8tEcmTpyYls2b5ZSjDstf9t6t3IZTnZFJYfTYkpI88fzL6fH1N/mmd78MHjIkQ4cOTe/evTN+/Pi0aNEiW2yxRTrus89UvVmnNDdhdFL5AunJy8ynYHphDKR/7PV97r7l+jz75CMpLR2fdTfcNO032yhbtm8/XW/nSZ/F999+nfvv+leeffKR7Ljjjjn3nHOE0TAfTZgwIQ8//HD+8Y/zMmrkyByx/97Zb4+dU79evVn2dJ7StMuVlJSk9qj+qV+v7lQ/Hz++NIuv8ds8l4duv1nWWKZNWjZtlE1XXyGNplk+mbcHrErGjUuv3j/n+16989mXX6d27Vppt9SSKS2dkH4DBubr737In9ZcNXvttN3vbmNm4eSU15VvvuqRX779IFWqVEnJ2LGpXr16Pvjggzz9zDMZNmxYqlWrls3ab5vjz+mc0hqLzXB9047IMbtDcU/ZE3rKQPqbz9/NJ++9nF96fZUBfX/MuDHD0u+XHzN82OBUq149q6+9SbbfcafstFuH1KhZM8ncXZ/nVyg9K7MKkGd1/Z/T9zvluublXma2hvFOJofT86zJ7M/3PqVJx2DJuPG5/+mXcv39XfNd71/SdonFsvXmm2WrP2+cDdZeMzVqVJ/utWPGjs1DTzybm+/pkrIqVXPWWWfngAMOEEbDfPT111/nwgsvzEMPPZS99torJ598clZfffWKLgtYCLzzzju54oor8tRTTwmjoQJMGU43atQoJ598cvbdd1/D5QPzbMiQIencuXOuvfbatGzZMuedd1523nlnYfRcEErPoz59+uTaa6/Nv26+OW2Wapf9DzkqW2y94+Q5LGYV5k0ZwPXq+V1222b9yf9u3aZtRo8ek7XW2zypUiXdnnogSXLgX8/MQUedVch7mZtAcF5D1Pfeey/7dOw43c9bNFskJx91WDbfaP0sufhiqVKlylwN1T16bEm+HTUxS7ZqmXp1as90uYGpk096fJXX3343/37q+fT+pU/atF48bdq2S7NmzdKoYcMstdRSWXvttbP88svP1smmsveSnpP65kcovbAF0mVlZelyzy25+pJz06TpItnngE7ZZc99s0izGYdJZWVl+aD727n/jn/l7TdeyT4dO+aUk0/OyiuvPJ8rByaZMGFCunbtmssuvTTffPNNOnbsmL/85S9p2bLlHK+rwz77pHv37kmSpVovkREjhme5Nq2zynJt88o7H+bbH39O1apV893z92fRjJ3hOmYnjJ7SzILpIswo/Bw2sVG232yN9O3z81Q/r1KlSnbeo2O22PHgLL/yWqlVu850QfO0Q2vPSFlZWQb26ZlqNWqmXdtf7xVmFERPnDgxv/T6Kl9/9r+89fK/89H/Xkzd+g3Tpu3yWXTxNqlTt35aLLpElltpzWy8wZqpV7/+VNsp75B1fpqdBwdmZX4/LDez/TUv07VMMqfHz+/5ptfP6XjK+fmm18/ZZfMNc/CBB2T9tdeY6cOiAwcPyR1dHsmdXR5Nq8UXzymnnpp99tlHGA0V6Ntvv81VV12Vu+66KxtvvHFOPvnkbLXVVobPB+bIxIkT8/TTT+eKK67Ihx9+mE6dOuX4448XRkMFKikpyb333psrr7wyw4YNy3HHHZcjjjgiTZo0qejSgAXMDz/8kGuuuSa33XZb1l577Zx88snZYYcdhNHzQChdTkaMGJHbb789V111dcqqVMleHQ/Jznt0TOosMcvXNao1KoMHDcjeO26awYNm3OBWq3ad7L7vUdn3sJNTv8GvjYhFzeU7qzrn6nUzaMyctsHx9vv/nTMuumLyv/+84Xp56JZrp2sMmNMGydufeTXHXHt3kl8bwDdac5Wcefh+2XitqXucnnvDnbn6nkeSJA0b1M9OW2+RI/7SMSv8/5yX8zpM5ZyG0/O7AXhuwvPyCqkXtiA6+bWnf78+P+fSC87IG692S5K89cmPqV27zgyXLykZm27PPpGH7789vXv1zF//emSOO+64LLbYjHsMAvNfWVlZ3njjjVx++eV54cUXs/1222X3/f6aVVZfa6rlZnb+vuaaa3L9DTfMdP1brLdWTj2kQzZcc5WMrddsxj1DM2+h2uwE1LMzNcbvrW/aa+YXvYdnx82n3k/3Pv1JlmizzFQ/m51QetCQ33o7//Td++na+Yj80vPDJEnjRVplo20PyY4HnJPq1WtMDqR/+OaTnHf0lhkx7Nd7jxVW2yg77bl/tt3lgBn+B2La69KsrsnT3s+MqLVIhYfQ05r285jbkVwmmZ/3KHO6Lyd9f+flYYwpj4EZraesrCyjf+mZD774Onscf26S5OFbr8ufN1wvyYzvGXv06JF777svTz75ZDbZZJOceuqpad++vdALKpEBAwbkpptuyg033JDFFlssxxxzTPbbb7/Uqzd/pzECFizDhw/P3XffnRtuuCEjRozI8ccfnyOOOCKNGzeu6NKA/zdx4sQ8++yzueKKK9K9e/cceOCBOfroo7PSSitVdGlAJVZWVpbXX389N9xwQ5588snsuuuuOemkk7LuuutWdGkLBaF0OSstLc1jjz2Wa669Ph+83z3b7rRHdtj76CyzwsyHAxs7ZnT23GLpjBo5fLrfVa9e/de5n6tUSb36DdK4SdPUrd8ktWvXTctWS2apdium7XIrp/UKW6Ru/d/mbJyfgfUkMwsYp23AnLaRsd+AQVn1z9tP/vedd9yRTTfddJaNkbVHDUyfAYPy1KtvZ/tN10vbWr99jUsnTMgrH/bIzmdelT//afWcemjHfPvjz7nnyRfT/bOv8uzNl0wVTHc46R957r/vZvm2rdOyaZMMHTEy40sn5ORjj8xOW28x1XbnNqCel2B6Rq8tslF4Xhus/0jKysryyUfd8+Kzj+fN117KgP59UzJ2bCZO/C04Oeios3LcCcdP99o+v/yUR7rclccfvi/NmjfPCccfmwMOOCANGjSYblmg8vjqq69yww035K67707bpZfNXvsekq223yW1av02Gse05+iujz2WU045Zbp11apZMyXjxiVJateqmcYN6meRxg1Tt3btNF5kkSy79FJZYZl22WCZxbJ82yXLpf6ZBXZzEkjPyfpH1FokZ519drp06ZIk2fjPW+XKG+9OjRo1fndu6Neeuy+NF1k0q/2pfYaMrDb5971+6Jt7Lts9P379dg46/clMLJuYbz7ulne73ZIV1tkx+5/07zRr+uvyX3zwcq46dctUrVo1K6y+ccaPK8nYMSPTbtkVcubFt6dGjZrTbX/K+5kpP8vKFjj/nvIOpGelIqYfmR3z+pkNGjI0jz37Yp77z+v5+PMvUlIybvIxO8l7776bpk2bTv73sImNMn7cuPyn2zP59/135Msen2S//fbLscceayoOqOTGjBmTBx54INdff31++OGHHHLIITn66KPTrl27ii4NqER69OiRG2+8Mffcc09WXnnlHH300enQoUNq1pz+vhKoPLp3754bbrghDz74YDbaaKMcc8wx2WmnnVK9+vRT7gB/TKNGjcr999+fG264IT/99FMOPfTQHHXUUWnbtm1Fl7ZQEUoX6OOPP84NN9yQ++67P8uusHJ273BAtt5ul9Sp+2sj7JSNsWVlZfnlp5555/UX8u6bL+ad/76QJPnHNV3SvFH1/Nz7x4wcOTyfftQ9X3/xeerVr5+vvvhsqu1dctNjWW+TbZJM3+NodkPqKV83t8H2jMLp32vU/ezLr3Png4+m6zMvZtTo0Wm2SJMs0qxFWrdunWWXWSarrrZaVlh++dx400159NFHp3t9r5ceTJOGDTJwyLCsvPPBGVPya+0PXHZW+oyekG969sonH3+ctz76PNtuvG4evurX3i1lZWX55Ovvc9CZl+S73r9Mt94LTjshR/zlt+HF53ev6d8jnK4YP/b6Pv++/8688Vq39Or5XZq3WDSbbrFNllp6mdSpUy+LLb5E6jZtl7aLN0zDRo0nv660tDRvvv5yHn/43rz13/9ku+23z3HHHpsttthCjylYwAwfPjz33ntvrr3uugwcMCC77bZb9unQIe3atZvh/LqjR4/O22+/nf++8UYe69o1I0eNyiabbJJzzzknX7z3RoaPGJEhfX7Kwy+8mqaNGqR3v0EZNGTo5PXs9OcNcv9lxUzfMSemHZ1kVr23JwXUJePG5foHnszTTz+dHl98kdp16qZZ8xZp0XKxLLX0smmz3NpZdsU10mbpFbLD+tMPjX7QCVdmp44nJEluuOi4vPLEjUmSzXc5OsussnEG9Pk+A3p/kje7PZQkufHRr7PoEr8GCI1qjc5l5xyZV577d8aPHzfdut/5/Jfphk9ekIPoSeZnIF0Rirz/mTBhQrp06ZL/vPJK3nrrrSTJ+uutl/XWWy9169VLi+bNs/jii6dZs2Zp2bLl5Cl7kqRXr1556OGH8+ijXVO/fr0ce+yxOfjggw0TCAuYsrKyvPXWW7nhhhvStWvXbLbZZjn88MOz8847C53gD2rs2LF59NFHc+utt+Z///tf9tlnnxx99NH505/+VNGlAXNowIABuf3223PTTTelrKwshx56aA499NC0bt26oksDKsjHH3+cW2+9Nffdd1/atm2bY445Jh07dkzdunUrurSFklB6PhgyZEjuv//+3Ny5c37s9WO23WmP7LrXfllhpdVmGETNamjkzVed+YFwzZ0vZvV1Np7872mD6RmZNnie2WvmJKCe1dCXv9e4O2TosLzxTvd89V3PDBw8JD1//Ck9vv42/QbMugfXtf88K7tut1WqVq2aHffrlI97fDnV7+vUrpVG9eulVYtFsvZKy+WHX/rl7Y8+z8jRY6Zarkb16lmkaZM0a9okY0tKct2FZ2ed1eesV8u89qaetL8q03yP89KYXdnrmxtrLdc8SbLLnvtm6+13zXobbjbLeSR++enHPPFolzz56AOpXq1qDj30kBx66KFZcsny6fkIVJyysrK89tpr6dy5cx577LGsscpKOWDPnbPjVltkQuPFp1p2ZueqSefJW269NZdeeukMl9lrmz/n9gum721dpDmZr3dK0wbVk8LpYTWa5JNPPsn777+fAQMHpk+fPvnuu+/yzTffpLS0dKbrW3v9LdLpjNvTfNEl89p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",
      "text/plain": [
       "<Figure size 2500x1500 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# seperates the years into 2. so plots one time period against another\n",
    "# Define the variable you want to plot\n",
    "a = 'TREFHT'  \n",
    "\n",
    "# Retrieve plotting info from the dictionary\n",
    "plot_info = plot_variables_sea[a]\n",
    "title = plot_info['tit']\n",
    "units = plot_info['unit']\n",
    "long_units = plot_info['long_unit']\n",
    "levels = plot_info['lvls']\n",
    "lon = control_ds['lon'].values\n",
    "lat = control_ds['lat'].values\n",
    "\n",
    "# Define the seasons and years to compare\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "first_50_years = WTP_ds.sel(time=slice('0001-01-01', '0050-12-31'))\n",
    "last_50_years = WTP_ds.sel(time=slice('0051-01-01', '0100-12-31'))\n",
    "\n",
    "# Control datasets for both periods\n",
    "control_first_50 = control_ds.sel(time=slice('0001-01-01', '0050-12-31'))\n",
    "control_last_50 = control_ds.sel(time=slice('0051-01-01', '0100-12-31'))\n",
    "\n",
    "# Compute seasonal averages for both periods\n",
    "seasonal_diff_first_50 = first_50_years[a].groupby('time.season').mean('time') - control_first_50[a].groupby('time.season').mean('time')\n",
    "seasonal_diff_last_50 = last_50_years[a].groupby('time.season').mean('time') - control_last_50[a].groupby('time.season').mean('time')\n",
    "\n",
    "# Significance tests for both periods\n",
    "significance_masks_first_50 = {}\n",
    "significance_masks_last_50 = {}\n",
    "\n",
    "for season in seasons:\n",
    "    control_season_first_50 = control_first_50[a].sel(time=control_first_50['time.season'] == season)\n",
    "    experiment_season_first_50 = first_50_years[a].sel(time=first_50_years['time.season'] == season)\n",
    "    t_stat_first, p_values_first = perform_t_test(control_season_first_50, experiment_season_first_50)\n",
    "    significance_masks_first_50[season] = p_values_first < 0.05\n",
    "\n",
    "    control_season_last_50 = control_last_50[a].sel(time=control_last_50['time.season'] == season)\n",
    "    experiment_season_last_50 = last_50_years[a].sel(time=last_50_years['time.season'] == season)\n",
    "    t_stat_last, p_values_last = perform_t_test(control_season_last_50, experiment_season_last_50)\n",
    "    significance_masks_last_50[season] = p_values_last < 0.05\n",
    "\n",
    "# Create a 4x2 grid for subplots (2 rows: first and last 50 years, 4 columns for each season)\n",
    "fig, axs = plt.subplots(2, 4, figsize=(25, 15), subplot_kw={'projection': ccrs.Robinson(central_longitude=0)})\n",
    "fig.suptitle(f'{title} WTP - control (First 50 Years vs Last 50 Years)', fontsize=16)\n",
    "\n",
    "for i, season in enumerate(seasons):\n",
    "    # First 50 years\n",
    "    ax_first_50 = axs[0, i]\n",
    "    plot_first_50 = seasonal_diff_first_50.sel(season=season).values\n",
    "    mask_first_50 = significance_masks_first_50[season]\n",
    "    cf_first = ax_first_50.contourf(lon, lat, plot_first_50, cmap='coolwarm', levels=levels, transform=ccrs.PlateCarree(), extend='both')\n",
    "    ax_first_50.contourf(lon, lat, mask_first_50, levels=[0.5, 1], hatches=['...', None], colors='none', transform=ccrs.PlateCarree())\n",
    "    ax_first_50.coastlines()\n",
    "    ax_first_50.set_title(f'{season} (01-50)')\n",
    "    \n",
    "    # Last 50 years\n",
    "    ax_last_50 = axs[1, i]\n",
    "    plot_last_50 = seasonal_diff_last_50.sel(season=season).values\n",
    "    mask_last_50 = significance_masks_last_50[season]\n",
    "    cf_last = ax_last_50.contourf(lon, lat, plot_last_50, cmap='coolwarm', levels=levels, transform=ccrs.PlateCarree(), extend='both')\n",
    "    ax_last_50.contourf(lon, lat, mask_last_50, levels=[0.5, 1], hatches=['...', None], colors='none', transform=ccrs.PlateCarree())\n",
    "    ax_last_50.coastlines()\n",
    "    ax_last_50.set_title(f'{season} (51-100)')\n",
    "\n",
    "# Add colorbar at the bottom\n",
    "cb_ax = fig.add_axes([0.15, 0.05, 0.7, 0.02])\n",
    "cb = plt.colorbar(cf_first, cax=cb_ax, orientation=\"horizontal\")\n",
    "cb.set_label(f'Difference in {long_units}')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "b9455601-9333-429f-bc08-c12ae160c71c",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (1809535239.py, line 47)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  Cell \u001b[0;32mIn[46], line 47\u001b[0;36m\u001b[0m\n\u001b[0;31m    plt.show()\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "# wind with quivers and defined the area just to look over asia but of courses can extend for a wider view\n",
    "con_50['wind'] = (con_50['U850']**2 + con_50['V850']**2 )**0.5\n",
    "WTP_50['wind'] = (WTP_50['U850']**2 + WTP_50['V850']**2 )**0.5\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "\n",
    "lat_bounds = slice(5,55)\n",
    "lon_bounds= slice (60,150)\n",
    "\n",
    "# find differences\n",
    "seasonal_u_diff = (WTP_50['V850'].groupby('time.season').mean('time') - con_50['U850'].groupby('time.season').mean('time')).sel(lat = lat_bounds, lon = lon_bounds)\n",
    "seasonal_v_diff = (WTP_50['V850'].groupby('time.season').mean('time') - con_50['V850'].groupby('time.season').mean('time')).sel(lat = lat_bounds, lon = lon_bounds)\n",
    "seasonal_diff = (WTP_50['wind'].groupby('time.season').mean('time') -con_50['wind'].groupby('time.season').mean('time')).sel(lat = lat_bounds, lon = lon_bounds)\n",
    "\n",
    "lat = con_50['lat'].sel(lat = lat_bounds).values\n",
    "lon = con_50['lon'].sel(lon = lon_bounds).values\n",
    "lon2d, lat2d = np.meshgrid(lon, lat)\n",
    "# Create a 2x2 grid for subplots\n",
    "fig, axs = plt.subplots(2, 2, figsize=(20, 15), subplot_kw={'projection': ccrs.PlateCarree(central_longitude=180)})\n",
    "fig.suptitle('Wind (m/s) 850 hPa', fontsize=16)\n",
    "\n",
    "# Loop through the seasons and plot\n",
    "for i, season in enumerate(seasons):\n",
    "    row, col = divmod(i, 2)  \n",
    "    ax = axs[row, col]\n",
    "\n",
    "    # Select the wind components for the current season\n",
    "    u_wind_season = seasonal_u_diff.sel(season=season).values\n",
    "    v_wind_season = seasonal_v_diff.sel(season=season).values\n",
    "    seasonal_plot = seasonal_diff.sel(season=season).values\n",
    "    # Plot the seasonal difference\n",
    "    cf = ax.contourf(lon, lat, seasonal_plot, cmap='coolwarm', levels=np.arange(-1, 1, 0.1), transform=ccrs.PlateCarree(), zorder=0, extend='both')\n",
    "    ax.coastlines()\n",
    "    ax.set_title(season)\n",
    "    \n",
    "    # Plot arrows for wind direction, skip some points for readability\n",
    "    skip = 3  # Adjust if needed\n",
    "    ax.quiver(lon2d[::skip, ::skip], lat2d[::skip, ::skip], \n",
    "              u_wind_season[::skip, ::skip], v_wind_season[::skip, ::skip], \n",
    "              scale=100, color='black', transform=ccrs.PlateCarree())\n",
    "\n",
    "    # Add a colorbar horizontally at the bottom\n",
    "cb_ax = fig.add_axes([0.15, 0.05, 0.7, 0.02])  # Adjust position and size if needed\n",
    "cb = plt.colorbar(cf, cax=cb_ax, orientation=\"horizontal\")\n",
    "cb.set_label(long_unit)\n",
    "   \n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25de972d-ee1a-41c7-a5db-7d59d7d38519",
   "metadata": {},
   "source": [
    "# long time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "aa22a953-0895-4067-ae9b-634c1d62709f",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'lon_bounds' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[10], line 11\u001b[0m\n\u001b[1;32m      8\u001b[0m long_unit \u001b[38;5;241m=\u001b[39m plot_settings[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlong_unit\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m     10\u001b[0m \u001b[38;5;66;03m# Preprocessing: Calculate seasonal averages beforehand\u001b[39;00m\n\u001b[0;32m---> 11\u001b[0m lon \u001b[38;5;241m=\u001b[39m control_ds[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlon\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39msel(lon \u001b[38;5;241m=\u001b[39m \u001b[43mlon_bounds\u001b[49m)\u001b[38;5;241m.\u001b[39mvalues\n\u001b[1;32m     12\u001b[0m lat \u001b[38;5;241m=\u001b[39m control_ds[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlat\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39msel(lat \u001b[38;5;241m=\u001b[39m lat_bounds)\u001b[38;5;241m.\u001b[39mvalues\n\u001b[1;32m     13\u001b[0m seasons \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDJF\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMAM\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mJJA\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSON\u001b[39m\u001b[38;5;124m'\u001b[39m]\n",
      "\u001b[0;31mNameError\u001b[0m: name 'lon_bounds' is not defined"
     ]
    }
   ],
   "source": [
    "# I think it is just a basic line with annual avg control and exp. probs can delete mais il faut dobbeltsjekk\n",
    "Choose the variable you want to plot \n",
    "selected_var = 'T850'\n",
    "lon_bounds = slice(78, 104)\n",
    "lat_bounds = slice(27,40)\n",
    "\n",
    "plot_settings = plot_variables_sea[selected_var]\n",
    "a = selected_var  \n",
    "long_unit = plot_settings['long_unit']\n",
    "\n",
    "\n",
    "lon = control_ds['lon'].sel(lon = lon_bounds).values\n",
    "lat = control_ds['lat'].sel(lat = lat_bounds).values\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "\n",
    "# Precompute seasonal averages\n",
    "control = control_ds[a].groupby('time.year').mean(dim=['lat', 'lon'])\n",
    "exp = WTP_ds[a].groupby('time.year').mean(dim=['lat', 'lon'])\n",
    "# an index for the axis\n",
    "x_axis = range(len(control))\n",
    "\n",
    "plt.figure(figsize=(20,6))\n",
    "plt.plot(x_axis, control-273.15, label = 'control', color = 'black')\n",
    "plt.plot(x_axis, exp-273.15, label = 'WTP', color = 'red')\n",
    "#plt.xticks(np.arange(min(WTP_50['time']), max(WTP_50['time']), 240))\n",
    "#ticks = range(0, len(seasonal_control), 40)  # Adjust the range as needed\n",
    "#labels = [i / 4 for i in ticks]  # Divide tick values by 4\n",
    "\n",
    "#plt.xticks(ticks=ticks, labels=labels)\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel(f'{long_unit}')\n",
    "plt.title(f'{plot_settings[\"tit\"]}')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "c310cb79-4de5-4d1e-9cbc-b6184b8f3780",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# diffrenece time series red above blue below\n",
    "selected_var = 'T850'\n",
    "lon_bounds = slice(78, 104)\n",
    "lat_bounds = slice(27,40)\n",
    "\n",
    "plot_settings = plot_variables_sea[selected_var]\n",
    "a = selected_var  \n",
    "long_unit = plot_settings['long_unit']\n",
    "lon = control_ds['lon'].values\n",
    "lat = control_ds['lat'].values\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "\n",
    "# Precompute seasonal averages\n",
    "control = control_ds[a].sel(lon = lon_bounds, lat = lat_bounds).groupby('time.year').mean(dim=['lat', 'lon', 'time']) \n",
    "exp = WTP_ds[a].sel(lon = lon_bounds, lat = lat_bounds).groupby('time.year').mean(dim=['lat', 'lon', 'time']) \n",
    "diff = exp - control\n",
    "\n",
    "plt.figure(figsize=(20,6))\n",
    "plt.fill_between(diff['year'], diff, where=(diff >0), color ='red', interpolate = True)\n",
    "plt.fill_between(diff['year'], diff, where=(diff <0), color ='blue', interpolate = True)\n",
    "\n",
    "plt.axhline(y=0, color='black', linestyle='-')\n",
    "plt.xticks(np.arange(0, max(diff['year']-1), 20))\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel(f'{long_unit}')\n",
    "plt.title(f'{plot_settings[\"tit\"]}')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67499fac-ca2d-4332-ae45-9e9d91944270",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "# diffrenece time series with bar plot with red above and blue below not really that important so probs can delete\n",
    "selected_var = 'TREFHT'\n",
    "lon_bounds = slice(78, 104)\n",
    "lat_bounds = slice(27,40)\n",
    "\n",
    "plot_settings = plot_variables_sea[selected_var]\n",
    "a = selected_var  \n",
    "long_unit = plot_settings['long_unit']\n",
    "lon = control_ds['lon'].values\n",
    "lat = control_ds['lat'].values\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "\n",
    "# Precompute seasonal averages\n",
    "control = control_ds[a].sel(lon = lon_bounds, lat = lat_bounds).groupby('time.year').mean(dim=['lat', 'lon', 'time']) \n",
    "exp = WTP_ds[a].sel(lon = lon_bounds, lat = lat_bounds).groupby('time.year').mean(dim=['lat', 'lon', 'time']) \n",
    "diff = exp - control\n",
    "\n",
    "plt.figure(figsize=(20,6))\n",
    "plt.bar(diff['year'], diff.values, color=['red' if val > 0 else 'blue' for val in diff])\n",
    "\n",
    "plt.axhline(y=0, color='black', linestyle='-')\n",
    "plt.xticks(np.arange(0, max(diff['year']-1), 20))\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel(f'{long_unit}')\n",
    "plt.title(f'{plot_settings[\"tit\"]} WTP')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5dd58288-1498-49c8-8ae9-046cbc5c825b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# diffrenece time series \n",
    "selected_var = 'TREFHT'\n",
    "lon_bounds = slice(78, 104)\n",
    "lat_bounds = slice(27,40)\n",
    "\n",
    "plot_settings = plot_variables_sea[selected_var]\n",
    "a = selected_var  \n",
    "long_unit = plot_settings['long_unit']\n",
    "lon = control_ds['lon'].values\n",
    "lat = control_ds['lat'].values\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "\n",
    "# compute seasonal averages\n",
    "control = control_ds[a].groupby('time.year').mean(dim=['lat', 'lon', 'time']) \n",
    "exp = WTP_ds[a].groupby('time.year').mean(dim=['lat', 'lon', 'time']) \n",
    "diff = exp - control\n",
    "\n",
    "plt.figure(figsize=(20,6))\n",
    "plt.bar(exp['year'], exp.values-273.15, color='red', label = 'WTP')\n",
    "plt.plot(control['year'], control.values-273.15, color='black', label = 'control')\n",
    "\n",
    "plt.axhline(y=0, color='black', linestyle='-')\n",
    "plt.xticks(np.arange(0, max(diff['year']-1), 20))\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel(f'{long_unit}')\n",
    "plt.title(f'{plot_settings[\"tit\"]}')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "id": "c08a44a8-54ef-4387-b224-024f4a569045",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Confirmation of what the years look like for the annual you can  delete when its done\n",
    "last_year = str(SIC_ds['time.year'][-3].values)  # Extract the last year as a string\n",
    "last_year_data = control_ds.sel(time=SIC_ds['time.year'] == int(last_year))['TREFHT'].mean(dim='time') -273.15# Convert to Celsius\n",
    "\n",
    "# Set up the plot\n",
    "fig, ax = plt.subplots(subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "lon = SIC_ds['lon']\n",
    "lat = SIC_ds['lat']\n",
    "\n",
    "# Plot the average of the last year\n",
    "plt.contourf(lon, lat, last_year_data, cmap='coolwarm', levels = np.arange(-45, 30, 10),transform=ccrs.PlateCarree(), zorder=0, extend='both')\n",
    "ax.coastlines()\n",
    "ax.set_title(f\"Average TREFHT control year 100 (°C)\")\n",
    "plt.colorbar(label=\"Temperature (°C)\")\n",
    "plt.show()\n",
    "##################################################################################################\n",
    "last_year = str(SIC_ds['time.year'][-3].values)  # Extract the last year as a string\n",
    "last_year_data = SIC_ds.sel(time=SIC_ds['time.year'] == int(last_year))['TREFHT'].mean(dim='time') -273.15# Convert to Celsius\n",
    "\n",
    "# Set up the plot\n",
    "fig, ax = plt.subplots(subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "lon = SIC_ds['lon']\n",
    "lat = SIC_ds['lat']\n",
    "\n",
    "# Plot the average of the last year\n",
    "plt.contourf(lon, lat, last_year_data, cmap='coolwarm',levels = np.arange(-45, 30, 10), transform=ccrs.PlateCarree(), zorder=0, extend='both')\n",
    "ax.coastlines()\n",
    "ax.set_title(f\"Average TREFHT SIC year 100 (°C)\")\n",
    "plt.colorbar(label=\"Temperature (°C)\")\n",
    "plt.show()\n",
    "###############################################################################3\n",
    "  # Extract the last year as a string\n",
    "last_year_data = SIC_ds.sel(time=SIC_ds['time.year'] == int(last_year))['TREFHT'].mean(dim='time') -control_ds.sel(time=control_ds['time.year'] == int(last_year))['TREFHT'].mean(dim='time')# Convert to Celsius\n",
    "\n",
    "# Set up the plot\n",
    "fig, ax = plt.subplots(subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "lon = SIC_ds['lon']\n",
    "lat = SIC_ds['lat']\n",
    "\n",
    "# Plot the average of the last year\n",
    "plt.contourf(lon, lat, last_year_data, cmap='coolwarm',levels = np.arange(-45, 30, 10), transform=ccrs.PlateCarree(), zorder=0, extend='both')\n",
    "ax.coastlines()\n",
    "ax.set_title(f\"Average TREFHT SIC year 100 (°C)\")\n",
    "plt.colorbar(label=\"Temperature (°C)\")\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "645d9795-05bc-45f7-a64e-93838414c189",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "  grid-column: 1;\n",
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       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
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       "\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",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;year&#x27; (year: 101)&gt; Size: 808B\n",
       "array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,\n",
       "        15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,\n",
       "        29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,\n",
       "        43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,\n",
       "        57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,\n",
       "        71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,\n",
       "        85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,\n",
       "        99, 100, 101])\n",
       "Coordinates:\n",
       "  * year     (year) int64 808B 1 2 3 4 5 6 7 8 9 ... 94 95 96 97 98 99 100 101</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'>'year'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 101</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d7106dcd-0492-4b70-87e4-14f88bb10d17' class='xr-array-in' type='checkbox' checked><label for='section-d7106dcd-0492-4b70-87e4-14f88bb10d17' 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>1 2 3 4 5 6 7 8 9 10 11 12 ... 90 91 92 93 94 95 96 97 98 99 100 101</span></div><div class='xr-array-data'><pre>array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,\n",
       "        15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,\n",
       "        29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,\n",
       "        43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,\n",
       "        57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,\n",
       "        71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,\n",
       "        85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,\n",
       "        99, 100, 101])</pre></div></div></li><li class='xr-section-item'><input id='section-170daf9c-d229-4d6b-bf23-bc9d984c28b5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-170daf9c-d229-4d6b-bf23-bc9d984c28b5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 ... 96 97 98 99 100 101</div><input id='attrs-b70bb07f-915c-4751-ad3a-a9001130d3a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b70bb07f-915c-4751-ad3a-a9001130d3a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d75a7e7-d8c8-48f6-b58e-70890e84b557' class='xr-var-data-in' type='checkbox'><label for='data-2d75a7e7-d8c8-48f6-b58e-70890e84b557' 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,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,\n",
       "        15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,\n",
       "        29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,\n",
       "        43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,\n",
       "        57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,\n",
       "        71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,\n",
       "        85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,\n",
       "        99, 100, 101])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da5fe3a8-fc7d-4a11-b414-e252f7f32e88' class='xr-section-summary-in' type='checkbox'  ><label for='section-da5fe3a8-fc7d-4a11-b414-e252f7f32e88' 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>year</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2fd714be-a5a2-46c3-808c-328a52b88fad' class='xr-index-data-in' type='checkbox'/><label for='index-2fd714be-a5a2-46c3-808c-328a52b88fad' 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(Index([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "       ...\n",
       "        92,  93,  94,  95,  96,  97,  98,  99, 100, 101],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;year&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3931682-7441-45df-9190-41ad11c0f617' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d3931682-7441-45df-9190-41ad11c0f617' 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 'year' (year: 101)> Size: 808B\n",
       "array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,\n",
       "        15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,\n",
       "        29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,\n",
       "        43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,\n",
       "        57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,\n",
       "        71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,\n",
       "        85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,\n",
       "        99, 100, 101])\n",
       "Coordinates:\n",
       "  * year     (year) int64 808B 1 2 3 4 5 6 7 8 9 ... 94 95 96 97 98 99 100 101"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Choose the variable you want to plot \n",
    "selected_var = 'Z500'\n",
    "\n",
    "# Access the settings for the chosen variable\n",
    "plot_settings = plot_variables_sea[selected_var]\n",
    "a = selected_var  # variable key\n",
    "long_unit = plot_settings['long_unit']\n",
    "levels = plot_settings['lvls']\n",
    "\n",
    "#\n",
    "# Compute seasonal differences\n",
    "seasonal_diff = SIC_ds['THREF'][-1]\n",
    "\n",
    "# Create a 2x2 grid for subplots\n",
    "fig, axs = plt.subplots(2, 2, figsize=(20, 15), subplot_kw={'projection': ccrs.Robinson(central_longitude=0)})\n",
    "fig.suptitle(f'{plot_settings[\"tit\"]} 90-99', fontsize=16)\n",
    "\n",
    "# Precompute significance mask for all seasons\n",
    "significance_masks = {}\n",
    "for season in seasons:\n",
    "    control_season = con_50[a].sel(time=con_50['time.season'] == season)\n",
    "    experiment_season = WTP_50[a].sel(time=WTP_50['time.season'] == season)\n",
    "    \n",
    "    t_stat, p_values = perform_t_test(control_season.compute(), experiment_season.compute())\n",
    "    significance_masks[season] = p_values < 0.05  # Store mask for each season\n",
    "\n",
    "# Plot each season\n",
    "for i, season in enumerate(seasons):\n",
    "    row, col = divmod(i, 2)  # Calculate grid position\n",
    "    \n",
    "    ax = axs[row, col]\n",
    "    seasonal_plot = seasonal_diff.sel(season=season).values  # Seasonal departure for this season\n",
    "    significant_mask = significance_masks[season]  # Precomputed significance mask\n",
    "    \n",
    "    # Plot the seasonal difference\n",
    "    cf = ax.contourf(lon, lat, seasonal_plot, cmap='coolwarm', levels=levels, transform=ccrs.PlateCarree(), zorder=0, extend='both')\n",
    "    ax.coastlines()\n",
    "    ax.set_title(season)\n",
    "    \n",
    "    # Overlay significance hatch\n",
    "    ax.contourf(lon, lat, significant_mask, levels=[0.5, 1], hatches=['...', None], colors='none', transform=ccrs.PlateCarree(), zorder=1)\n",
    "\n",
    "# Add a colorbar horizontally at the bottom\n",
    "cb_ax = fig.add_axes([0.15, 0.05, 0.7, 0.02])  # Adjust position and size as needed\n",
    "cb = plt.colorbar(cf, cax=cb_ax, orientation=\"horizontal\")\n",
    "cb.set_label(long_unit)\n",
    "\n",
    "# Show the plot\n",
    "plt.show() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "09f5915d-f642-46f1-b681-42e0e344699d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall difference: 0.835174560546875\n"
     ]
    }
   ],
   "source": [
    "# Select and average the data over the spatial and temporal dimensions\n",
    "control = control_ds['TREFHT'].sel(lon=lon_bounds, lat=lat_bounds).mean(dim=['lat', 'lon', 'time']) \n",
    "exp = WTP_ds['TREFHT'].sel(lon=lon_bounds, lat=lat_bounds).mean(dim=['lat', 'lon', 'time']) \n",
    "\n",
    "# Compute the overall difference (single value)\n",
    "diff = exp - control\n",
    "\n",
    "print(f'Overall difference: {diff.values}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "93eacd02-e599-4194-8cc3-8c33d91a51e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.17044183536881277"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Constants\n",
    "R = 6371e3  # Earth's radius in meters\n",
    "deg_to_rad = np.pi / 180  # Conversion factor from degrees to radians\n",
    "\n",
    "# Latitude and longitude bounds (converted to radians)\n",
    "lat1, lat2 = 27 * deg_to_rad, 40 * deg_to_rad\n",
    "lon1, lon2 = 78 * deg_to_rad, 104 * deg_to_rad\n",
    "\n",
    "# Surface area of the Tibetan Plateau region (in square meters)\n",
    "area_tp = R**2 * (np.sin(lat2) - np.sin(lat1)) * (lon2 - lon1)\n",
    "\n",
    "# Surface area of the Earth (in square meters)\n",
    "area_earth = 4 * np.pi * R**2\n",
    "\n",
    "# Ratio of Tibetan Plateau area to Earth's area\n",
    "area_ratio = area_tp / area_earth\n",
    "\n",
    "# Local forcing (10 W/m²)\n",
    "local_forcing = 25  # W/m²\n",
    "\n",
    "# Globally equivalent forcing (in W/m²)\n",
    "global_equivalent_forcing = local_forcing * area_ratio\n",
    "global_equivalent_forcing\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "653bc3c6-649c-4cf2-b051-e6598546b63a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02005198063162503"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_equivalent_forcing / 8.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "1bb5e902-f1e5-44a6-9f61-a68a1a535b92",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/50m_physical/ne_50m_land.zip\n",
      "  warnings.warn(f'Downloading: {url}', DownloadWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Latitude and longitude bounds\n",
    "lat_bounds = slice(27, 40)\n",
    "lon_bounds = slice(100, 120)\n",
    "\n",
    "# Create a figure and set up the map projection\n",
    "plt.figure(figsize=(10, 6))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "# Add land and coastlines\n",
    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
    "ax.add_feature(cfeature.COASTLINE)\n",
    "\n",
    "# Plot the region of interest using the latitude and longitude bounds\n",
    "ax.set_extent([lon_bounds.start, lon_bounds.stop, lat_bounds.start, lat_bounds.stop], crs=ccrs.PlateCarree())\n",
    "\n",
    "# Add gridlines\n",
    "ax.gridlines(draw_labels=True)\n",
    "\n",
    "# Add title\n",
    "plt.title('Region: lat 20°N to 40°N, lon 100°E to 120°E')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b2388c1-4b70-4505-98d0-51036e026b1e",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Seasonal time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "be8ff13a-5d08-4f27-8dda-5a3cd2783a62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# diffrenece time series \n",
    "selected_var = 'T850'\n",
    "\n",
    "plot_settings = plot_variables_sea[selected_var]\n",
    "a = selected_var  \n",
    "long_unit = plot_settings['long_unit']\n",
    "lon = control_ds['lon'].values\n",
    "lat = control_ds['lat'].values\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "\n",
    "# Precompute seasonal averages\n",
    "control = control_ds[a].groupby('time.season').mean('time')  \n",
    "exp = WTP_ds[a].groupby('time.year').mean('time')\n",
    "diff = exp - control\n",
    "# Create a new years array for plotting\n",
    "x_axis = range(len(control))\n",
    "plt.figure(figsize=(20,6))\n",
    "seasons = ['DJF', 'MAM', 'JJA', 'SON']\n",
    "\n",
    "for season in seasons:\n",
    "    plt.plot(diff['year'], diff.sel(season=season).mean(dim = ['lon','lat']), label = season)\n",
    "    \n",
    "plt.xticks(np.arange(0, max(diff['year']-1), 20))\n",
    "plt.axhline(y=0, color='black', linestyle='-')\n",
    "#ticks = range(0, len(seasonal_control), 40)  # Adjust the range as needed\n",
    "#labels = [i / 4 for i in ticks]  # Divide tick values by 4\n",
    "\n",
    "#plt.xticks(ticks=ticks, labels=labels)\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel(f'{long_unit}')\n",
    "plt.title(f'{plot_settings[\"tit\"]}')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5283ea8f-7c06-474a-9365-24f7c1ca3751",
   "metadata": {},
   "source": [
    "# Look at energy balance variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "79ff23d6-5b13-48bf-8b36-76db0dacc580",
   "metadata": {},
   "outputs": [],
   "source": [
    "# bounds for the TP\n",
    "lon_bounds = slice(78, 104)\n",
    "lat_bounds = slice(27,40)\n",
    "\n",
    "def calculate_energy_balance(ds):\n",
    "    return ds['FSNS'] - ds['FLNS'] - ds['LHFLX'] - ds['SHFLX'] - (ds['PRECSC'] + ds['PRECSL']) * 3.337e8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "419aa2d2-818e-43f0-aef4-59ab0eb7f000",
   "metadata": {},
   "outputs": [],
   "source": [
    "# make sure that only TP is selected \n",
    "control_ds_subset = control_ds.sel(lat=lat_bounds, lon=lon_bounds).mean(dim=['lat', 'lon'])\n",
    "WTP_ds_subset = WTP_ds.sel(lat=lat_bounds, lon=lon_bounds).mean(dim=['lat', 'lon'])\n",
    "\n",
    "# run def\n",
    "control_ds_subset['energy'] = calculate_energy_balance(control_ds_subset)\n",
    "WTP_ds_subset['energy'] = calculate_energy_balance(WTP_ds_subset)\n",
    "\n",
    "control_ds_subset['PRECSC_PRECSL'] = control_ds_subset['PRECSC'] + control_ds_subset['PRECSL'] * 3.337e8\n",
    "WTP_ds_subset['PRECSC_PRECSL'] = WTP_ds_subset['PRECSC'] + WTP_ds_subset['PRECSL'] * 3.337e8"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8e22fa0-5454-4259-b3d4-2ca6051e6437",
   "metadata": {},
   "source": [
    "SEASONAL AVERAGE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "57875909-6c36-455c-8dcd-611f9ccfc183",
   "metadata": {},
   "outputs": [],
   "source": [
    "variables = ['FSNS', 'FLNS', 'LHFLX', 'SHFLX', 'PRECSC_PRECSL', 'energy', 'PBLH']\n",
    "\n",
    "# seasonal average\n",
    "seasonal_control = control_ds_subset[variables].groupby('time.season').mean() \n",
    "seasonal_WTP = WTP_ds_subset[variables].groupby('time.season').mean()\n",
    "\n",
    "seasonal_diff = seasonal_WTP[variables] - seasonal_control[variables]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebb9f73d-d596-4114-8dd4-858e54e091b1",
   "metadata": {},
   "source": [
    "MONTHLY AVERAGE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "3497ecb6-6219-44e0-a667-6b8e145c6946",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate monthly averages for control and WTP datasets\n",
    "mon_control = control_ds_subset[variables].groupby('time.month').mean()\n",
    "mon_WTP = WTP_ds_subset[variables].groupby('time.month').mean()\n",
    "\n",
    "mon_diff = mon_WTP[variables] - mon_control[variables]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "28af6b02-520e-44f2-a1cc-b139ea62deb2",
   "metadata": {},
   "outputs": [
    {
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       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  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",
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       "\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",
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       "\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",
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       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
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       "\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",
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       "\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",
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       "\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; Size: 384B\n",
       "Dimensions:        (month: 12)\n",
       "Coordinates:\n",
       "  * month          (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    FSNS           (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    FLNS           (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    LHFLX          (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    SHFLX          (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    PRECSC_PRECSL  (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    energy         (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</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-7e175346-a34b-4372-884d-a9117172692d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e175346-a34b-4372-884d-a9117172692d' 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'>month</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f926f7a0-5265-434a-bb49-727526ffe8c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f926f7a0-5265-434a-bb49-727526ffe8c5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-251542c6-4cac-4474-b365-12c71e2eb768' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-251542c6-4cac-4474-b365-12c71e2eb768' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe1b3b35-dee6-4ce3-85f4-9ec7921a5d14' class='xr-var-data-in' type='checkbox'><label for='data-fe1b3b35-dee6-4ce3-85f4-9ec7921a5d14' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1aec8940-ea35-4575-aa80-6e6c79871eb4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1aec8940-ea35-4575-aa80-6e6c79871eb4' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>FSNS</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-cd442ba2-a69e-43e8-853b-7b9f51ba03ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd442ba2-a69e-43e8-853b-7b9f51ba03ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27812f0b-f872-403a-b3a8-eab58e36ca47' class='xr-var-data-in' type='checkbox'><label for='data-27812f0b-f872-403a-b3a8-eab58e36ca47' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLNS</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-45243acd-94a9-481e-954f-30ec433798ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45243acd-94a9-481e-954f-30ec433798ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31731d15-f798-46a0-aca9-59cf4b512d19' class='xr-var-data-in' type='checkbox'><label for='data-31731d15-f798-46a0-aca9-59cf4b512d19' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
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       "                        <td> </td>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
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       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LHFLX</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-3d703aa1-9ee0-4aab-b71f-fd9f1ba364f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3d703aa1-9ee0-4aab-b71f-fd9f1ba364f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfa13b15-83aa-41b3-ac10-fc8cc6d0a4f8' class='xr-var-data-in' type='checkbox'><label for='data-bfa13b15-83aa-41b3-ac10-fc8cc6d0a4f8' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHFLX</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-ab1cdd39-6c69-47ce-bb7d-7fe4f88218a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab1cdd39-6c69-47ce-bb7d-7fe4f88218a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-befeee35-3255-4317-9a61-a93df53f929e' class='xr-var-data-in' type='checkbox'><label for='data-befeee35-3255-4317-9a61-a93df53f929e' 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'><table>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
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       "                    \n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRECSC_PRECSL</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-78ce356a-cdda-4e70-883c-79ccd0d65c7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78ce356a-cdda-4e70-883c-79ccd0d65c7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c89a845-0157-49d4-874c-6dd60e2d80bd' class='xr-var-data-in' type='checkbox'><label for='data-2c89a845-0157-49d4-874c-6dd60e2d80bd' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 9791 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-fd780d72-f626-4343-a2c9-b2b831ec1ec3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd780d72-f626-4343-a2c9-b2b831ec1ec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d424d328-b590-4d30-872c-e67f556ee935' class='xr-var-data-in' type='checkbox'><label for='data-d424d328-b590-4d30-872c-e67f556ee935' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 29031 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-be6aaa59-fcd4-468e-b6ac-7a1d5631c9e5' class='xr-section-summary-in' type='checkbox'  ><label for='section-be6aaa59-fcd4-468e-b6ac-7a1d5631c9e5' 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>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-49010741-3bdf-4d4c-86b9-82f4bb1b0b5d' class='xr-index-data-in' type='checkbox'/><label for='index-49010741-3bdf-4d4c-86b9-82f4bb1b0b5d' 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(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7d1c6581-c09d-45cd-b969-1d411a9a0fed' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d1c6581-c09d-45cd-b969-1d411a9a0fed' 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.Dataset> Size: 384B\n",
       "Dimensions:        (month: 12)\n",
       "Coordinates:\n",
       "  * month          (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    FSNS           (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    FLNS           (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    LHFLX          (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    SHFLX          (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    PRECSC_PRECSL  (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    energy         (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mon_diff"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43f9fb2b-c259-4772-a4bf-7b7c116b9bdc",
   "metadata": {},
   "source": [
    "## Time series of WTP vs Control energy Balance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "47cf6930-0775-4721-809a-671d1cdb7c36",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "# faire les moyennes saisonnières\n",
    "#seasonal_control = control_ds_subset['energy'].resample(time='QS-DEC').mean()  # 'QS-DEC' starts each season in December\n",
    "#seasonal_WTP = WTP_ds_subset['energy'].resample(time='QS-DEC').mean()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "8b2d26ac-0feb-403b-b67f-5fd3d8d44280",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 6))\n",
    "\n",
    "x_axis = range(len(seasonal_control))  # Creates a range from 0 to the number of seasons\n",
    "\n",
    "plt.plot(x_axis, seasonal_control.values, label='Control', color='black')\n",
    "plt.plot(x_axis, seasonal_WTP.values, label='WTP', color='red')\n",
    "\n",
    "# Labels and title\n",
    "plt.xlabel('Time (Seasons)')\n",
    "plt.ylabel('Energy Balance (W/m²)')\n",
    "plt.title('Energy Balance Time Series (Control vs WTP)')\n",
    "ticks = range(0, len(seasonal_control), 40)  # Adjust the range as needed\n",
    "labels = [i / 4 for i in ticks]  # Divide tick values by 4\n",
    "\n",
    "plt.xticks(ticks=ticks, labels=labels)\n",
    "plt.legend()\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9b50b28-7e46-4028-baa0-2277f35a9549",
   "metadata": {},
   "source": [
    "plot of the overiew of the experiments respective energy balances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "d262b493-f25a-49b0-9dc6-a1f5ea362dad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = ['blue', 'orange', 'green', 'red', 'purple']\n",
    "months = range(1, 13)  # Months 1 to 12\n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize=(12, 10))\n",
    "fig.suptitle('Energy Balance', fontsize=16)\n",
    "\n",
    "# plotting the control energy budget\n",
    "axs[0].plot(months, mon_control['energy'], label='Energy Balance (Control)', color='black', linewidth=2)\n",
    "\n",
    "for i, var in enumerate(variables):\n",
    "    axs[0].plot(months, mon_control[var], label=f'{var}', color=colors[i])\n",
    "\n",
    "# Plotting the WTP energy budget\n",
    "axs[1].plot(months, energy_balance_WTP, label='Energy Balance (WTP)', color='black', linewidth=2)\n",
    "\n",
    "for i, var in enumerate(variables):\n",
    "    axs[1].plot(months, mon_WTP[var], label=f'{var}', color=colors[i])\n",
    "\n",
    "# plot  formatting\n",
    "axs[0].set_title('Control')\n",
    "axs[1].set_title('Warm Tibetan Plateau (WTP)')\n",
    "for ax in axs:\n",
    "    ax.set_xlabel('Month')\n",
    "    ax.set_ylabel('(W/m²)')\n",
    "    ax.legend(loc='upper right')\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "477e390d-2b49-454f-822a-1b3469fd1064",
   "metadata": {},
   "source": [
    "this is very similar but it is the differences in one plot (prefered way to look at it)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "2dc9d051-b4b9-4e9d-be95-b4e9a0a3a6c5",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "x and y must have same first dimension, but have shapes (12,) and (101,)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[180], line 20\u001b[0m\n\u001b[1;32m     17\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMonth\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     18\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mW/m²\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 20\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmonths\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdiff\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolor\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdarkred\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlinewidth\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabel\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mTREFHT\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m     21\u001b[0m plt\u001b[38;5;241m.\u001b[39maxhline(y\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mblack\u001b[39m\u001b[38;5;124m'\u001b[39m, linestyle\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdotted\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     22\u001b[0m \u001b[38;5;66;03m# Adjust layout to avoid overlap\u001b[39;00m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/matplotlib/pyplot.py:3590\u001b[0m, in \u001b[0;36mplot\u001b[0;34m(scalex, scaley, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m   3582\u001b[0m \u001b[38;5;129m@_copy_docstring_and_deprecators\u001b[39m(Axes\u001b[38;5;241m.\u001b[39mplot)\n\u001b[1;32m   3583\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mplot\u001b[39m(\n\u001b[1;32m   3584\u001b[0m     \u001b[38;5;241m*\u001b[39margs: \u001b[38;5;28mfloat\u001b[39m \u001b[38;5;241m|\u001b[39m ArrayLike \u001b[38;5;241m|\u001b[39m \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   3588\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m   3589\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mlist\u001b[39m[Line2D]:\n\u001b[0;32m-> 3590\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mgca\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   3591\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3592\u001b[0m \u001b[43m        \u001b[49m\u001b[43mscalex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mscalex\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3593\u001b[0m \u001b[43m        \u001b[49m\u001b[43mscaley\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mscaley\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3594\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m}\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3595\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   3596\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/matplotlib/axes/_axes.py:1724\u001b[0m, in \u001b[0;36mAxes.plot\u001b[0;34m(self, scalex, scaley, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1481\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1482\u001b[0m \u001b[38;5;124;03mPlot y versus x as lines and/or markers.\u001b[39;00m\n\u001b[1;32m   1483\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1721\u001b[0m \u001b[38;5;124;03m(``'green'``) or hex strings (``'#008000'``).\u001b[39;00m\n\u001b[1;32m   1722\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1723\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m cbook\u001b[38;5;241m.\u001b[39mnormalize_kwargs(kwargs, mlines\u001b[38;5;241m.\u001b[39mLine2D)\n\u001b[0;32m-> 1724\u001b[0m lines \u001b[38;5;241m=\u001b[39m [\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_lines(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39mdata, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)]\n\u001b[1;32m   1725\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m line \u001b[38;5;129;01min\u001b[39;00m lines:\n\u001b[1;32m   1726\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39madd_line(line)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/matplotlib/axes/_base.py:303\u001b[0m, in \u001b[0;36m_process_plot_var_args.__call__\u001b[0;34m(self, axes, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m    301\u001b[0m     this \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m args[\u001b[38;5;241m0\u001b[39m],\n\u001b[1;32m    302\u001b[0m     args \u001b[38;5;241m=\u001b[39m args[\u001b[38;5;241m1\u001b[39m:]\n\u001b[0;32m--> 303\u001b[0m \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_plot_args\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    304\u001b[0m \u001b[43m    \u001b[49m\u001b[43maxes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mthis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mambiguous_fmt_datakey\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mambiguous_fmt_datakey\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.9/site-packages/matplotlib/axes/_base.py:499\u001b[0m, in \u001b[0;36m_process_plot_var_args._plot_args\u001b[0;34m(self, axes, tup, kwargs, return_kwargs, ambiguous_fmt_datakey)\u001b[0m\n\u001b[1;32m    496\u001b[0m     axes\u001b[38;5;241m.\u001b[39myaxis\u001b[38;5;241m.\u001b[39mupdate_units(y)\n\u001b[1;32m    498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m x\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m!=\u001b[39m y\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]:\n\u001b[0;32m--> 499\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx and y must have same first dimension, but \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    500\u001b[0m                      \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhave shapes \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mx\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00my\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    501\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m x\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m y\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[1;32m    502\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx and y can be no greater than 2D, but have \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    503\u001b[0m                      \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mshapes \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mx\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00my\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[0;31mValueError\u001b[0m: x and y must have same first dimension, but have shapes (12,) and (101,)"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "variables = ['FSNS', 'FLNS', 'LHFLX', 'SHFLX', 'PRECSC_PRECSL']\n",
    "colors = ['blue', 'orange', 'green', 'red', 'purple']\n",
    "months = range(1, 13)  # Months 1 to 12\n",
    "\n",
    "# Create a single plot for differences\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.title('Differences between WTP and Control', fontsize=16)\n",
    "\n",
    "# Plot energy balance difference\n",
    "plt.plot(months, mon_diff['energy'], label='Energy Balance Difference (WTP - Control)', color='black', linewidth=2)\n",
    "\n",
    "# Plot differences for other variables\n",
    "for i, var in enumerate(variables):\n",
    "    plt.plot(months, mon_diff[var], label=f'Difference in {var}', color=colors[i])\n",
    "\n",
    "# Set labels and legend\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('W/m²')\n",
    "\n",
    "plt.plot(months, diff.values, color = 'darkred', linewidth = 2, label = 'TREFHT')\n",
    "plt.axhline(y=0, color='black', linestyle='dotted')\n",
    "# Adjust layout to avoid overlap\n",
    "plt.tight_layout()\n",
    "plt.legend(loc='upper right')\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f4338b2-95b6-453d-bda5-2ea8c90bbd61",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## seasonal bar energy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b955e8f-fc59-4ac5-921e-edf8f057098d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "6b9e286d-f0cf-420b-b7e1-c248be899c2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Manually reorder seasons for logical order (DJF, MAM, JJA, SON)\n",
    "ordered_seasons = ['DJF','JJA', 'MAM', 'SON']\n",
    "seasonal_means = seasonal_diff.sel(season=ordered_seasons)\n",
    "\n",
    "# Plotting\n",
    "seasons = seasonal_diff.season.values  # Now ordered as ['DJF', 'MAM', 'JJA', 'SON']\n",
    "num_vars = len(seasonal_diff.data_vars)  # Total number of variables\n",
    "\n",
    "# Create subplots for each season\n",
    "fig, axes = plt.subplots(2, 2, figsize=(12, 10))\n",
    "\n",
    "for i, season in enumerate(seasons):\n",
    "    # Extract seasonal data for all variables (which is now 1D since we averaged lat/lon)\n",
    "    seasonal_data = seasonal_diff.sel(season=season).to_array().values\n",
    "    \n",
    "    # Plotting each season's data as a vertical bar plot (switching axis)\n",
    "    axes[i // 2, i % 2].barh(seasonal_diff.data_vars, seasonal_data, color=['blue', 'orange', 'green', 'red', 'purple', 'grey'])\n",
    "    \n",
    "    # Setting title and labels\n",
    "    axes[i // 2, i % 2].set_title(f'Seasonal Mean Values ({season})')\n",
    "    axes[i // 2, i % 2].set_xlabel('Energy Balance (W/m²)')  # x-axis for values\n",
    "    axes[i // 2, i % 2].set_ylabel('Variables')  # y-axis for variables\n",
    "\n",
    "    axes[i // 2, i % 2].set_xlim(left=-12, right = 8)\n",
    "# Adjust layout to avoid overlap\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a684a6cc-e0bd-4fe2-8091-6c84c1e5ef2a",
   "metadata": {},
   "source": [
    "## values and annual budget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4206337-662b-4f6b-83e1-2e813923fb04",
   "metadata": {},
   "outputs": [],
   "source": [
    "variables = ['FSNS', 'FLNS', 'LHFLX', 'SHFLX', 'PRECSC_PRECSL', 'energy']"
   ]
  },
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   "cell_type": "code",
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      "{'FSNS': <xarray.DataArray 'FSNS' ()> Size: 4B\n",
      "array(-0.995149, dtype=float32)\n",
      "Coordinates:\n",
      "    THREF    <U73 292B '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_wa..., 'FLNS': <xarray.DataArray 'FLNS' ()> Size: 4B\n",
      "array(1.9201987, dtype=float32)\n",
      "Coordinates:\n",
      "    THREF    <U73 292B '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_wa..., 'LHFLX': <xarray.DataArray 'LHFLX' ()> Size: 4B\n",
      "array(1.6513195, dtype=float32)\n",
      "Coordinates:\n",
      "    THREF    <U73 292B '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_wa..., 'SHFLX': <xarray.DataArray 'SHFLX' ()> Size: 4B\n",
      "array(5.2410164, dtype=float32)\n",
      "Coordinates:\n",
      "    THREF    <U73 292B '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_wa..., 'PRECSC_PRECSL': <xarray.DataArray 'PRECSC_PRECSL' ()> Size: 4B\n",
      "array(0.10205644, dtype=float32)\n",
      "Coordinates:\n",
      "    THREF    <U73 292B '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_wa..., 'energy': <xarray.DataArray 'energy' ()> Size: 4B\n",
      "array(-9.911107, dtype=float32)\n",
      "Coordinates:\n",
      "    THREF    <U73 292B '/nird/home/fiona/data/AMIP_raw/NF2000climo_f09_f09_wa...}\n"
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   "source": [
    "variables = ['FSNS', 'FLNS', 'LHFLX', 'SHFLX', 'PRECSC_PRECSL', 'energy']\n",
    "\n",
    "annual = {}\n",
    "for var in variables:\n",
    "    diff = (WTP_ds_subset[var] - control_ds_subset[var])\n",
    "    annual_mean[var] = diff.groupby('time.year').mean(dim='time')\n",
    "    annual[var] = annual_mean[var].mean().compute()"
   ]
  },
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   "id": "59767847-5643-4c0c-8c7c-96f71c4dbea6",
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'FSNS' ()> Size: 4B\n",
      "array(160.6465, dtype=float32)\n",
      "<xarray.DataArray 'FSNS' ()> Size: 4B\n",
      "array(161.64166, dtype=float32)\n",
      "<xarray.DataArray 'FLNS' ()> Size: 4B\n",
      "array(95.030106, dtype=float32)\n",
      "<xarray.DataArray 'FLNS' ()> Size: 4B\n",
      "array(93.10991, dtype=float32)\n",
      "<xarray.DataArray 'LHFLX' ()> Size: 4B\n",
      "array(29.059113, dtype=float32)\n",
      "<xarray.DataArray 'LHFLX' ()> Size: 4B\n",
      "array(27.407795, dtype=float32)\n",
      "<xarray.DataArray 'SHFLX' ()> Size: 4B\n",
      "array(44.798424, dtype=float32)\n",
      "<xarray.DataArray 'SHFLX' ()> Size: 4B\n",
      "array(39.557404, dtype=float32)\n",
      "<xarray.DataArray 'PRECSC_PRECSL' ()> Size: 4B\n",
      "array(1.965479, dtype=float32)\n",
      "<xarray.DataArray 'PRECSC_PRECSL' ()> Size: 4B\n",
      "array(1.8634226, dtype=float32)\n",
      "<xarray.DataArray 'energy' ()> Size: 4B\n",
      "array(-10.236727, dtype=float32)\n",
      "<xarray.DataArray 'energy' ()> Size: 4B\n",
      "array(-0.3256196, dtype=float32)\n"
     ]
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    "variables = ['FSNS', 'FLNS', 'LHFLX', 'SHFLX', 'PRECSC_PRECSL', 'energy']\n",
    "\n",
    "for var in variables:\n",
    "    print(WTP_ds_subset[var].groupby('time.year').mean(dim='time').mean().compute())\n",
    "    print(control_ds_subset[var].groupby('time.year').mean(dim='time').mean().compute())\n",
    "    "
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   "execution_count": null,
   "id": "4b2a2042-bcf6-44cc-b983-57ac811d93d0",
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    "colors = ['blue', 'orange', 'green', 'red', 'purple']\n",
    "annual_mean['TREFHT'] = WTP_ds_subset['TREFHT'].groupby('time.year').mean(dim='time') - control_ds_subset['TREFHT'].groupby('time.year').mean(dim='time')\n",
    "\n",
    "budget_variables = ['FSNS', 'FLNS', 'LHFLX', 'SHFLX', 'PRECSC_PRECSL']\n",
    "thicker = ['TREFHT', 'energy']\n",
    "\n",
    "# Create a single plot for differences\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.title('Annual Average Energy Budget', fontsize=16)\n",
    "\n",
    "for i, var in enumerate(budget_variables):\n",
    "    plt.plot(annual_mean['year'], annual_mean[var], label=var, color=colors[i])\n",
    "    \n",
    "colors = ['darkred', 'black']\n",
    "          \n",
    "for i, thick in enumerate(thicker):\n",
    "    plt.plot(annual_mean['year'], annual_mean[thick], label=thick, color=colors[i], linewidth = 3)\n",
    "    \n",
    "# Set labels and legend\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('W/m²')\n",
    "plt.axhline(y=0, color='black', linestyle='dotted')\n",
    "plt.tight_layout()\n",
    "plt.legend(loc='upper right')\n",
    "plt.yticks(-11, 12, 24))\n",
    "\n",
    "plt.show()\n"
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   "cell_type": "markdown",
   "id": "bc54cebc-b955-4d20-97b5-887dec1d79d1",
   "metadata": {},
   "source": [
    "## Looking at Shortwave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "654b176e-e8ee-4caa-9df7-f01f8edabd90",
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   "source": [
    "SW_var = ['CLDHGH', 'CLDLOW', 'CLDMED', 'CLDTOT', 'FSDS', 'FSNT', 'FSNTOA','FSUTOA', 'SWCF', 'FSNS']\n",
    "\n",
    "mon_control = control_ds_subset[SW_var].groupby('time.month').mean()\n",
    "mon_WTP = WTP_ds_subset[SW_var].groupby('time.month').mean()\n",
    "\n",
    "mon_diff = mon_WTP[SW_var] - mon_control[SW_var]"
   ]
  },
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       "  * month    (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    CLDHGH   (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    CLDLOW   (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    CLDMED   (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    CLDTOT   (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    FSDS     (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    FSNT     (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    FSNTOA   (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    FSUTOA   (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    SWCF     (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    FSNS     (month) float32 48B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</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-53c0f201-dd54-4890-baad-20fd5bdb2504' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-53c0f201-dd54-4890-baad-20fd5bdb2504' 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'>month</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2bbf76c4-64d0-44ac-a00d-e5d4c0cd006a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2bbf76c4-64d0-44ac-a00d-e5d4c0cd006a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-27e81d80-4233-4851-bfb9-d0d1240e1965' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27e81d80-4233-4851-bfb9-d0d1240e1965' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d24dd6d4-303a-484f-8034-296efd832b2c' class='xr-var-data-in' type='checkbox'><label for='data-d24dd6d4-303a-484f-8034-296efd832b2c' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e96fe7a9-1b0b-4a86-ae0a-dc3f5a5f52f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e96fe7a9-1b0b-4a86-ae0a-dc3f5a5f52f3' class='xr-section-summary' >Data variables: <span>(10)</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>CLDHGH</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-30379bad-c0c0-4ae0-a710-c258312f7e60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30379bad-c0c0-4ae0-a710-c258312f7e60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c1734ff-7d0e-4314-a13a-a13eb1ce5e5c' class='xr-var-data-in' type='checkbox'><label for='data-9c1734ff-7d0e-4314-a13a-a13eb1ce5e5c' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CLDLOW</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-94bf1943-4b1f-467d-8f0b-c4a6308c40d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94bf1943-4b1f-467d-8f0b-c4a6308c40d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5b25fa0-7c0e-49f7-b040-ef377807a577' class='xr-var-data-in' type='checkbox'><label for='data-c5b25fa0-7c0e-49f7-b040-ef377807a577' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"87\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CLDMED</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-9df59be7-d0de-4b9e-a971-141b70f42daa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9df59be7-d0de-4b9e-a971-141b70f42daa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40a8115c-176e-4b61-8dde-a0a671434e96' class='xr-var-data-in' type='checkbox'><label for='data-40a8115c-176e-4b61-8dde-a0a671434e96' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CLDTOT</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-f42cbe64-367f-4010-8220-31dacbf2bc14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f42cbe64-367f-4010-8220-31dacbf2bc14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0a5c33f-1a4f-4e67-8696-d6d402caa477' class='xr-var-data-in' type='checkbox'><label for='data-f0a5c33f-1a4f-4e67-8696-d6d402caa477' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSDS</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-64bb5603-0e84-4c29-a3ce-85ffeb5138c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64bb5603-0e84-4c29-a3ce-85ffeb5138c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7adb96b-d3c0-46b1-a994-0ad47ca91a80' class='xr-var-data-in' type='checkbox'><label for='data-b7adb96b-d3c0-46b1-a994-0ad47ca91a80' 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'><table>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSNT</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-2616cb56-1a3b-4afb-8e6a-6ccc3d8897b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2616cb56-1a3b-4afb-8e6a-6ccc3d8897b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d18e560f-471e-423d-a2ce-47436509eeb3' class='xr-var-data-in' type='checkbox'><label for='data-d18e560f-471e-423d-a2ce-47436509eeb3' 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'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
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       "                        <td> (1,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSNTOA</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-accf7bce-75e7-46d6-b7ac-aecb7e2d6b12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-accf7bce-75e7-46d6-b7ac-aecb7e2d6b12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cc566cf-aee1-4462-b0b9-96e0a0655b38' class='xr-var-data-in' type='checkbox'><label for='data-4cc566cf-aee1-4462-b0b9-96e0a0655b38' 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'><table>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
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       "                        <td> (1,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSUTOA</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-0beac81b-cbc5-45b7-80a6-8efdb6d7dd0c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0beac81b-cbc5-45b7-80a6-8efdb6d7dd0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f68983a8-25ee-422e-8aa7-bbb5f1d96525' class='xr-var-data-in' type='checkbox'><label for='data-f68983a8-25ee-422e-8aa7-bbb5f1d96525' 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'><table>\n",
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       "                        <th> Array </th>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "  <text x=\"140.000000\" y=\"18.781793\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,18.781793)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSNS</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-36c55c87-caad-49de-a95b-bcb17872b868' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36c55c87-caad-49de-a95b-bcb17872b868' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-357b997a-e722-4193-9fd0-15111c789b4b' class='xr-var-data-in' type='checkbox'><label for='data-357b997a-e722-4193-9fd0-15111c789b4b' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 48 B </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 4979 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"87\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"37\" x2=\"120\" y2=\"37\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"37\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"37\" />\n",
       "  <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"37\" />\n",
       "  <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"37\" />\n",
       "  <line x1=\"40\" y1=\"0\" x2=\"40\" y2=\"37\" />\n",
       "  <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"37\" />\n",
       "  <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"37\" />\n",
       "  <line x1=\"70\" y1=\"0\" x2=\"70\" y2=\"37\" />\n",
       "  <line x1=\"80\" y1=\"0\" x2=\"80\" y2=\"37\" />\n",
       "  <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"37\" />\n",
       "  <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"37\" />\n",
       "  <line x1=\"110\" y1=\"0\" x2=\"110\" y2=\"37\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"37\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,37.56358655585696 0.0,37.56358655585696\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"57.563587\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >12</text>\n",
       "  <text x=\"140.000000\" y=\"18.781793\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,18.781793)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-68b0509f-ae79-41ae-80bb-25d31e73e51d' class='xr-section-summary-in' type='checkbox'  ><label for='section-68b0509f-ae79-41ae-80bb-25d31e73e51d' 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>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1c87c0db-27b9-4ecc-9fa7-22d7ca1ed3d7' class='xr-index-data-in' type='checkbox'/><label for='index-1c87c0db-27b9-4ecc-9fa7-22d7ca1ed3d7' 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(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2a88812d-0173-40b1-8cb0-a80c4d218acf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a88812d-0173-40b1-8cb0-a80c4d218acf' 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.Dataset> Size: 576B\n",
       "Dimensions:  (month: 12)\n",
       "Coordinates:\n",
       "  * month    (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    CLDHGH   (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    CLDLOW   (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    CLDMED   (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    CLDTOT   (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    FSDS     (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    FSNT     (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    FSNTOA   (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    FSUTOA   (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    SWCF     (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    FSNS     (month) float32 48B dask.array<chunksize=(1,), meta=np.ndarray>"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mon_diff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "60cc1540-3ba3-47b1-ab17-3e95c0a97c79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "annual_mean['THREF'] = WTP\n",
    "colors = ['blue', 'orange', 'green', 'red', 'purple']\n",
    "\n",
    "SW_var = ['CLDHGH', 'CLDLOW', 'CLDMED', 'CLDTOT']\n",
    "thicker = ['FSNS', 'energy']\n",
    "\n",
    "# Create a single plot for differences\n",
    "plt.figure(figsize=(12, 8))\n",
    "\n",
    "plt.subplot(211)\n",
    "for i, var in enumerate(SW_var):\n",
    "    plt.plot(mon_diff['month'], mon_diff[var], label=f'{var}')\n",
    "    \n",
    "#plt.plot(mon_diff['month'], mon_diff['FSNS'], label='FSNS', color='black', linewidth = 3)\n",
    "    \n",
    "plt.title('monthly cloud variables', fontsize=16)\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('W/m²')\n",
    "plt.axhline(y=0, color='black', linestyle='dotted')\n",
    "plt.tight_layout()\n",
    "plt.legend(loc='upper right')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "SW_var = ['FSDS', 'FSNT', 'FSNTOA','FSUTOA', 'SWCF']\n",
    "\n",
    "plt.subplot(212)\n",
    "for i, var in enumerate(SW_var):\n",
    "    plt.plot(mon_diff['month'], mon_diff[var], label=f'{var}')\n",
    "    \n",
    "plt.plot(mon_diff['month'], mon_diff['FSNS'], label='FSNS', color='black', linewidth = 3)\n",
    "    \n",
    "plt.title('monthly shortwave variables', fontsize=16)\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('W/m²')\n",
    "plt.axhline(y=0, color='black', linestyle='dotted')\n",
    "plt.tight_layout()\n",
    "plt.legend(loc='upper right')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "a4674f2a-591b-4027-bc38-89edf1438ca2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "for i, var in enumerate(SW_var):\n",
    "    plt.plot(mon_diff['month'], mon_diff[var], label=f'{var}')\n",
    "    \n",
    "plt.plot(mon_diff['month'], mon_diff['FSNS'], label='FSNS', color='black', linewidth = 3)\n",
    "    \n",
    "plt.title('monthly shortwave variables', fontsize=16)\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('W/m²')\n",
    "plt.axhline(y=0, color='black', linestyle='dotted')\n",
    "plt.tight_layout()\n",
    "plt.legend(loc='upper right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a86cd6bd-d6af-41f6-9c95-7c854d97353d",
   "metadata": {},
   "source": [
    "## heat transport out of system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "87934d94-6bc4-4924-b485-285a80eaa1bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  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; Size: 109GB\n",
       "Dimensions:         (time: 1200, lat: 192, lon: 288, lev: 32, ilev: 33,\n",
       "                     zlon: 1, nbnd: 2)\n",
       "Coordinates:\n",
       "  * ilev            (ilev) float64 264B 2.255 5.032 10.16 ... 967.5 985.1 1e+03\n",
       "  * lat             (lat) float64 2kB -90.0 -89.06 -88.12 ... 88.12 89.06 90.0\n",
       "  * lev             (lev) float64 256B 3.643 7.595 14.36 ... 957.5 976.3 992.6\n",
       "  * lon             (lon) float64 2kB 0.0 1.25 2.5 3.75 ... 356.2 357.5 358.8\n",
       "  * time            (time) object 10kB 0001-02-01 00:00:00 ... 0101-01-01 00:...\n",
       "  * zlon            (zlon) float64 8B 0.0\n",
       "Dimensions without coordinates: nbnd\n",
       "Data variables: (12/140)\n",
       "    ABSVIS          (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "    ABSVVOLC        (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "    ALDIF           (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "    ALDIR           (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "    AODVVOLC        (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "    AOD_VIS         (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "    ...              ...\n",
       "    time_bnds       (time, nbnd) object 19kB dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    time_written    (time) |S8 10kB dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    zlon_bnds       (time, zlon, nbnd) float64 19kB dask.array&lt;chunksize=(1, 1, 2), meta=np.ndarray&gt;\n",
       "    Albedo          (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "    albedo          (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "    snow            (time, lat, lon) float32 265MB dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:       CF-1.0\n",
       "    source:            CAM\n",
       "    case:              NF2000climo_f09_f09_warmTP_test1\n",
       "    logname:           ingo\n",
       "    host:              \n",
       "    initial_file:      /cluster/shared/noresm/inputdata/atm/cam/inic/fv/cami-...\n",
       "    topography_file:   /cluster/shared/noresm/inputdata/atm/cam/topo/fv_0.9x1...\n",
       "    model_doi_url:     https://doi.org/10.5065/D67H1H0V\n",
       "    time_period_freq:  month_1\n",
       "    history:           Mon May 13 11:57:29 2024: /cluster/software/NCO/4.9.5-...\n",
       "    NCO:               netCDF Operators version 4.9.5 (Homepage = http://nco....</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-1e839c85-0139-42ce-98ce-318d15f88bf1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1e839c85-0139-42ce-98ce-318d15f88bf1' 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>: 1200</li><li><span class='xr-has-index'>lat</span>: 192</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>ilev</span>: 33</li><li><span class='xr-has-index'>zlon</span>: 1</li><li><span>nbnd</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f9b89141-4168-4dac-b60a-2452079066f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f9b89141-4168-4dac-b60a-2452079066f6' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ilev</span></div><div class='xr-var-dims'>(ilev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.255 5.032 10.16 ... 985.1 1e+03</div><input id='attrs-ac40db14-ac43-4e7a-ba85-513304dc875d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac40db14-ac43-4e7a-ba85-513304dc875d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8597a5b-8348-4747-97ae-01f21c91af52' class='xr-var-data-in' type='checkbox'><label for='data-f8597a5b-8348-4747-97ae-01f21c91af52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>hybrid level at interfaces (1000*(A+B))</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula_terms :</span></dt><dd>a: hyai b: hybi p0: P0 ps: PS</dd></dl></div><div class='xr-var-data'><pre>array([   2.25524 ,    5.031692,   10.157947,   18.555317,   29.734676,\n",
       "         39.273001,   47.114499,   56.240499,   66.800497,   80.701418,\n",
       "         94.941042,  111.693211,  131.401271,  154.586807,  181.863353,\n",
       "        213.952821,  251.704417,  296.117216,  348.366588,  409.835219,\n",
       "        482.149929,  567.224421,  652.332969,  730.445892,  796.363071,\n",
       "        845.353667,  873.715866,  900.324631,  924.964462,  947.432335,\n",
       "        967.538625,  985.11219 , 1000.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.06 -88.12 ... 89.06 90.0</div><input id='attrs-4e27e378-137b-4c59-9f80-95b488559147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e27e378-137b-4c59-9f80-95b488559147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6090376a-2aca-4f1a-93d1-4191f93c77e7' class='xr-var-data-in' type='checkbox'><label for='data-6090376a-2aca-4f1a-93d1-4191f93c77e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.643 7.595 14.36 ... 976.3 992.6</div><input id='attrs-dee81900-57af-4fc8-8e75-71bb7df28fab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dee81900-57af-4fc8-8e75-71bb7df28fab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2172cb98-fcf9-455b-99c4-e9ec7fa53af5' class='xr-var-data-in' type='checkbox'><label for='data-2172cb98-fcf9-455b-99c4-e9ec7fa53af5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>hybrid level at midpoints (1000*(A+B))</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula_terms :</span></dt><dd>a: hyam b: hybm p0: P0 ps: PS</dd></dl></div><div class='xr-var-data'><pre>array([  3.643466,   7.59482 ,  14.356632,  24.61222 ,  35.92325 ,  43.19375 ,\n",
       "        51.677499,  61.520498,  73.750958,  87.82123 , 103.317127, 121.547241,\n",
       "       142.994039, 168.22508 , 197.908087, 232.828619, 273.910817, 322.241902,\n",
       "       379.100904, 445.992574, 524.687175, 609.778695, 691.38943 , 763.404481,\n",
       "       820.858369, 859.534767, 887.020249, 912.644547, 936.198398, 957.48548 ,\n",
       "       976.325407, 992.556095])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 2.5 ... 356.2 357.5 358.8</div><input id='attrs-df0bda3d-3e2b-40e1-9f3a-0a10f0e05de7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df0bda3d-3e2b-40e1-9f3a-0a10f0e05de7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d3b9611-2935-48e6-891f-11b443475852' class='xr-var-data-in' type='checkbox'><label for='data-6d3b9611-2935-48e6-891f-11b443475852' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0.  ,   1.25,   2.5 , ..., 356.25, 357.5 , 358.75])</pre></div></li><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'>object</div><div class='xr-var-preview xr-preview'>0001-02-01 00:00:00 ... 0101-01-...</div><input id='attrs-3cb4cdef-8f2a-44a1-a13d-da0b5e372c7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cb4cdef-8f2a-44a1-a13d-da0b5e372c7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18425e0c-a595-4cdb-8eeb-df1f0e8cb931' class='xr-var-data-in' type='checkbox'><label for='data-18425e0c-a595-4cdb-8eeb-df1f0e8cb931' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1, 4, 1, 0, 0, 0, 0, has_year_zero=True), ...,\n",
       "       cftime.DatetimeNoLeap(100, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(100, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(101, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>zlon</span></div><div class='xr-var-dims'>(zlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-77613e1a-7aa1-4397-aec0-25611230d53b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77613e1a-7aa1-4397-aec0-25611230d53b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d92c6ec5-c369-4f7e-a57e-c0c50a0a3c51' class='xr-var-data-in' type='checkbox'><label for='data-d92c6ec5-c369-4f7e-a57e-c0c50a0a3c51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>zlon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3d7200b-2921-43b6-bcbc-239f41ebcc08' class='xr-section-summary-in' type='checkbox'  ><label for='section-a3d7200b-2921-43b6-bcbc-239f41ebcc08' class='xr-section-summary' >Data variables: <span>(140)</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>ABSVIS</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-1406f61a-5456-422c-932f-cd7628d8030c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1406f61a-5456-422c-932f-cd7628d8030c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-982c659a-a1ae-4e63-a3ff-a1d263df90c7' class='xr-var-data-in' type='checkbox'><label for='data-982c659a-a1ae-4e63-a3ff-a1d263df90c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>unitless</dd><dt><span>long_name :</span></dt><dd>Aerosol absorptive optical depth at 0.442-0.625um</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 192, 288) </td>\n",
       "                        <td> (1, 192, 288) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ABSVVOLC</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-57ab49e1-e883-4650-873f-d3bb022eb4f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57ab49e1-e883-4650-873f-d3bb022eb4f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2098be79-4bd8-4556-9485-df185cc2f7df' class='xr-var-data-in' type='checkbox'><label for='data-2098be79-4bd8-4556-9485-df185cc2f7df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>unitless</dd><dt><span>long_name :</span></dt><dd>CMIP6 volcanic aerosol absorptive optical depth at 0.442-0.625um</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 192, 288) </td>\n",
       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AODVVOLC</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-17670c86-be2a-4dc8-ba44-2a23b41a4feb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17670c86-be2a-4dc8-ba44-2a23b41a4feb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf96141e-3fa5-477f-bef0-fd4c9f82d147' class='xr-var-data-in' type='checkbox'><label for='data-cf96141e-3fa5-477f-bef0-fd4c9f82d147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>unitless</dd><dt><span>long_name :</span></dt><dd>CMIP6 volcanic aerosol optical depth at 0.442-0.625um</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                <tbody>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <th> Shape </th>\n",
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       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLDS</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-beb8e986-22da-4701-bc17-03f300de1723' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-beb8e986-22da-4701-bc17-03f300de1723' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6820b56c-6f58-4895-9712-74d57c3c82e9' class='xr-var-data-in' type='checkbox'><label for='data-6820b56c-6f58-4895-9712-74d57c3c82e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>long_name :</span></dt><dd>Downwelling longwave flux at surface</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLDSC</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-3a4b640d-6d4c-4f40-a17b-87735f4248d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a4b640d-6d4c-4f40-a17b-87735f4248d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da579f31-2d89-4a21-ad74-bc3e1b2e9141' class='xr-var-data-in' type='checkbox'><label for='data-da579f31-2d89-4a21-ad74-bc3e1b2e9141' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>long_name :</span></dt><dd>Clearsky Downwelling longwave flux at surface</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "        <td>\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "                        <th> Bytes </th>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLNTCLR</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-b5488bba-924d-4383-a49c-187b4371e02c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5488bba-924d-4383-a49c-187b4371e02c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b919ff6-987d-436c-bc6a-0044e9025dc4' class='xr-var-data-in' type='checkbox'><label for='data-2b919ff6-987d-436c-bc6a-0044e9025dc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>long_name :</span></dt><dd>Clearsky ONLY points net longwave flux at top of model</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    \n",
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       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLUTC</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-305fc471-42b7-4dc5-a54c-32616455bb72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-305fc471-42b7-4dc5-a54c-32616455bb72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35a6041d-1d0b-42c0-b0db-d3a5ea04d481' class='xr-var-data-in' type='checkbox'><label for='data-35a6041d-1d0b-42c0-b0db-d3a5ea04d481' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>long_name :</span></dt><dd>Clearsky upwelling longwave flux at top of model</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSNS</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-1cce136c-d805-4f50-86ea-6f60e07fc91b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cce136c-d805-4f50-86ea-6f60e07fc91b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0f3ecbd-a0e8-4fb3-9a8a-690669b635a2' class='xr-var-data-in' type='checkbox'><label for='data-f0f3ecbd-a0e8-4fb3-9a8a-690669b635a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>long_name :</span></dt><dd>Net solar flux at surface</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSNT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-6022868f-5c5b-40bd-8af9-73eba38a5ae7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6022868f-5c5b-40bd-8af9-73eba38a5ae7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-861172d3-9cd3-479f-b667-0e32bd9020ed' class='xr-var-data-in' type='checkbox'><label for='data-861172d3-9cd3-479f-b667-0e32bd9020ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>long_name :</span></dt><dd>Net solar flux at top of model</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <th> Data type </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWCF</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-b08a6f87-8517-40ac-90fd-c8350d9d8b6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b08a6f87-8517-40ac-90fd-c8350d9d8b6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49b13fdf-526b-40d2-8c86-7600da7c455d' class='xr-var-data-in' type='checkbox'><label for='data-49b13fdf-526b-40d2-8c86-7600da7c455d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>long_name :</span></dt><dd>Longwave cloud forcing</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 7.91 GiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OMEGA500</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-3080c444-e934-4c2d-afe5-f01e22a4f5b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3080c444-e934-4c2d-afe5-f01e22a4f5b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8db5b76c-4e81-4bc9-8d64-18bdf1da467a' class='xr-var-data-in' type='checkbox'><label for='data-8db5b76c-4e81-4bc9-8d64-18bdf1da467a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa/s</dd><dt><span>long_name :</span></dt><dd>Vertical velocity at 500 mbar pressure surface</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OMEGA850</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-f1039f13-97a4-4145-ba96-20d96bdaa91a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1039f13-97a4-4145-ba96-20d96bdaa91a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fbc69e3-a302-4a63-a155-519a2a9aad1f' class='xr-var-data-in' type='checkbox'><label for='data-2fbc69e3-a302-4a63-a155-519a2a9aad1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Pa/s</dd><dt><span>long_name :</span></dt><dd>Vertical velocity at 850 mbar pressure surface</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 253.12 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P0</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+05 1e+05 1e+05 ... 1e+05 1e+05</div><input id='attrs-3582231a-fab3-4660-8309-e03db2d13220' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3582231a-fab3-4660-8309-e03db2d13220' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51b7e411-5f50-4b53-a8af-57f29241de04' class='xr-var-data-in' type='checkbox'><label for='data-51b7e411-5f50-4b53-a8af-57f29241de04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([100000., 100000., 100000., ..., 100000., 100000., 100000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PBLH</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-2d3cbc04-8136-45e0-b1b4-b8974b0d9289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d3cbc04-8136-45e0-b1b4-b8974b0d9289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-340a219e-6d73-46b1-ac83-fed5c9091b5c' class='xr-var-data-in' type='checkbox'><label for='data-340a219e-6d73-46b1-ac83-fed5c9091b5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>PBL height</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                        <th> Bytes </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRECC</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-f58fdc23-9ac8-4c6a-a7b3-92701fe9e524' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f58fdc23-9ac8-4c6a-a7b3-92701fe9e524' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb94af8d-df93-40f7-b09f-5257f48899e9' class='xr-var-data-in' type='checkbox'><label for='data-bb94af8d-df93-40f7-b09f-5257f48899e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>long_name :</span></dt><dd>Convective precipitation rate (liq + ice)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRECL</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-39987d63-37b7-4a83-94e9-3017bb68d7ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39987d63-37b7-4a83-94e9-3017bb68d7ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8863e4f-82dc-4e32-a62e-f1407adb76df' class='xr-var-data-in' type='checkbox'><label for='data-b8863e4f-82dc-4e32-a62e-f1407adb76df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>long_name :</span></dt><dd>Large-scale (stable) precipitation rate (liq + ice)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRECT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-41f5c140-ddff-4f21-a4c3-70a3ddcaf31f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41f5c140-ddff-4f21-a4c3-70a3ddcaf31f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fcc5b8d-ebb7-4e08-b95b-24c64ead352e' class='xr-var-data-in' type='checkbox'><label for='data-6fcc5b8d-ebb7-4e08-b95b-24c64ead352e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>long_name :</span></dt><dd>Total (convective and large-scale) precipitation rate (liq + ice)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 192, 288) </td>\n",
       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-88890ece-8dd4-476b-baab-fb0f4dd9717d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88890ece-8dd4-476b-baab-fb0f4dd9717d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abb612d5-2f26-49b3-932a-222910026976' class='xr-var-data-in' type='checkbox'><label for='data-abb612d5-2f26-49b3-932a-222910026976' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>mdims :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 7.91 GiB </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> 38400 chunks in 2401 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLX</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-cc4ddd8b-3698-426e-9bb5-6836a8b2ac91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc4ddd8b-3698-426e-9bb5-6836a8b2ac91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc236991-dff9-4397-8f8e-f215a3a609c9' class='xr-var-data-in' type='checkbox'><label for='data-dc236991-dff9-4397-8f8e-f215a3a609c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/m2/s</dd><dt><span>long_name :</span></dt><dd>Surface water flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QREFHT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-80327c5a-4df1-4c41-89d1-53aca1dd0481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80327c5a-4df1-4c41-89d1-53aca1dd0481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36705820-9744-416e-bd55-3e097acb639e' class='xr-var-data-in' type='checkbox'><label for='data-36705820-9744-416e-bd55-3e097acb639e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>long_name :</span></dt><dd>Reference height humidity</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 192, 288) </td>\n",
       "                        <td> (1, 192, 288) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RELHUM</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-4565862f-8053-448d-b52f-6c9f3736689e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4565862f-8053-448d-b52f-6c9f3736689e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb08a340-65b2-4948-a73a-a260511d2274' class='xr-var-data-in' type='checkbox'><label for='data-bb08a340-65b2-4948-a73a-a260511d2274' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>mdims :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 7.91 GiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 32, 192, 288) </td>\n",
       "                        <td> (1, 1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 38400 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNOWHLND</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-b0b8ac71-8e9e-4afa-b0e5-6a5687743491' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0b8ac71-8e9e-4afa-b0e5-6a5687743491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aaf4b62-1781-4898-9b6b-cf1215e1bba1' class='xr-var-data-in' type='checkbox'><label for='data-9aaf4b62-1781-4898-9b6b-cf1215e1bba1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Water equivalent snow depth</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNOWQM</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-6d441128-4e2c-4d00-a623-91c9087b00bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d441128-4e2c-4d00-a623-91c9087b00bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edd8cdfb-4774-4ad5-a4a3-f5503373eb9c' class='xr-var-data-in' type='checkbox'><label for='data-edd8cdfb-4774-4ad5-a4a3-f5503373eb9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>mdims :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>long_name :</span></dt><dd>Grid box averaged snow amount</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "        <td>\n",
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       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWCF</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-06323fde-7ee7-4dce-aafa-b691e79324a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06323fde-7ee7-4dce-aafa-b691e79324a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10f6da65-7c8b-4b5c-bbae-589240a206df' class='xr-var-data-in' type='checkbox'><label for='data-10f6da65-7c8b-4b5c-bbae-589240a206df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>long_name :</span></dt><dd>Shortwave cloud forcing</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T200</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-2d204c23-d0a1-4bab-b38e-2c49969e7180' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d204c23-d0a1-4bab-b38e-2c49969e7180' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2f0d765-19db-495d-bdb9-979788e781f7' class='xr-var-data-in' type='checkbox'><label for='data-c2f0d765-19db-495d-bdb9-979788e781f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Temperature at 200 mbar pressure surface</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 253.12 MiB </td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TGCLDCWP</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-a2078f35-42da-402f-9303-3ad08379fc20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2078f35-42da-402f-9303-3ad08379fc20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f8da7b6-b0ea-4be4-b05d-221d0edc9fd8' class='xr-var-data-in' type='checkbox'><label for='data-3f8da7b6-b0ea-4be4-b05d-221d0edc9fd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/m2</dd><dt><span>long_name :</span></dt><dd>Total grid-box cloud water path (liquid and ice)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TOT_CLD_VISTAU</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-741aca27-c933-43cb-bc57-f11ddfd808fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-741aca27-c933-43cb-bc57-f11ddfd808fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5890b343-df0f-402d-82e0-b8405609f35e' class='xr-var-data-in' type='checkbox'><label for='data-5890b343-df0f-402d-82e0-b8405609f35e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>mdims :</span></dt><dd>1</dd><dt><span>Sampling_Sequence :</span></dt><dd>rad_lwsw</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Total gbx cloud extinction visible sw optical depth</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <td> </td>\n",
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       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 7.91 GiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                        <td> (1, 1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 38400 chunks in 2401 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TREFHT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-61bbe5be-4f94-4ecd-adf1-ec6a407fe4da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61bbe5be-4f94-4ecd-adf1-ec6a407fe4da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaff2a4f-ee09-469f-a68b-1c6873f107e8' class='xr-var-data-in' type='checkbox'><label for='data-eaff2a4f-ee09-469f-a68b-1c6873f107e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Reference height temperature</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 192, 288) </td>\n",
       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TREFMXAV</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-71ee61a9-8fc3-41f0-93a7-43819a6a6d4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71ee61a9-8fc3-41f0-93a7-43819a6a6d4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bfc5d7d-7f9f-44ef-b630-37ecbbfcd17a' class='xr-var-data-in' type='checkbox'><label for='data-5bfc5d7d-7f9f-44ef-b630-37ecbbfcd17a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Average of TREFHT daily maximum</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSMX</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-f4f48b3a-6c1b-44fb-9e4c-09b877c82526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4f48b3a-6c1b-44fb-9e4c-09b877c82526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85ddd2fa-361f-4162-afd5-93406dd22a2b' class='xr-var-data-in' type='checkbox'><label for='data-85ddd2fa-361f-4162-afd5-93406dd22a2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Maximum surface temperature over output period</dd><dt><span>cell_methods :</span></dt><dd>time: maximum</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 29.00 MiB </td>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Uzm</span></div><div class='xr-var-dims'>(time, ilev, lat, zlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 33, 192, 1), meta=np.ndarray&gt;</div><input id='attrs-d147e7ea-fae2-4596-b286-8ccc405164c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d147e7ea-fae2-4596-b286-8ccc405164c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d76be08f-18a2-4d87-b479-480d254d6943' class='xr-var-data-in' type='checkbox'><label for='data-d76be08f-18a2-4d87-b479-480d254d6943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>mdims :</span></dt><dd>2</dd><dt><span>units :</span></dt><dd>M/S</dd><dt><span>long_name :</span></dt><dd>Zonal-Mean zonal wind - defined on ilev</dd><dt><span>cell_methods :</span></dt><dd>zlon: mean time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 29.00 MiB </td>\n",
       "                        <td> 24.75 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                <tbody>\n",
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       "                        <td> 7.91 GiB </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wzm</span></div><div class='xr-var-dims'>(time, ilev, lat, zlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 33, 192, 1), meta=np.ndarray&gt;</div><input id='attrs-d624d5d8-efa8-4318-bf8d-7cc7985c8ce5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d624d5d8-efa8-4318-bf8d-7cc7985c8ce5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08fc0394-de62-403f-9931-fa7c83d0dd6b' class='xr-var-data-in' type='checkbox'><label for='data-08fc0394-de62-403f-9931-fa7c83d0dd6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>mdims :</span></dt><dd>2</dd><dt><span>units :</span></dt><dd>M/S</dd><dt><span>long_name :</span></dt><dd>Zonal-Mean vertical wind - defined on ilev</dd><dt><span>cell_methods :</span></dt><dd>zlon: mean time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <td> 253.12 MiB </td>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ch4vmr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-d23307a0-8144-4361-bed2-9ca5641b17d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d23307a0-8144-4361-bed2-9ca5641b17d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d906052-a4a9-4dba-a147-07e6c6ef7a80' class='xr-var-data-in' type='checkbox'><label for='data-2d906052-a4a9-4dba-a147-07e6c6ef7a80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ch4 volume mixing ratio</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 9.38 kiB </td>\n",
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       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co2vmr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-0506bac8-fd34-4c77-94b0-f158831a4ebe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0506bac8-fd34-4c77-94b0-f158831a4ebe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a4fba5f-eb2b-4b43-b6b7-faa8c04304eb' class='xr-var-data-in' type='checkbox'><label for='data-9a4fba5f-eb2b-4b43-b6b7-faa8c04304eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>co2 volume mixing ratio</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 9.38 kiB </td>\n",
       "                        <td> 8 B </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dVzm</span></div><div class='xr-var-dims'>(time, ilev, lat, zlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 33, 192, 1), meta=np.ndarray&gt;</div><input id='attrs-322f8d5c-c275-48bb-a927-fc41b0c9ed08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-322f8d5c-c275-48bb-a927-fc41b0c9ed08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18014477-2557-4e27-bb1f-5d4b56a889b5' class='xr-var-data-in' type='checkbox'><label for='data-18014477-2557-4e27-bb1f-5d4b56a889b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>mdims :</span></dt><dd>2</dd><dt><span>units :</span></dt><dd>M/S</dd><dt><span>long_name :</span></dt><dd>Zonal-Mean V dyn increm - defined on ilev</dd><dt><span>cell_methods :</span></dt><dd>zlon: mean time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 29.00 MiB </td>\n",
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       "                        <td> 4.69 kiB </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>date_written</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>|S8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-1c2ea29c-0811-4679-ba16-87fbe1334c1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c2ea29c-0811-4679-ba16-87fbe1334c1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcf59546-7c73-4848-9d16-99918f54588a' class='xr-var-data-in' type='checkbox'><label for='data-fcf59546-7c73-4848-9d16-99918f54588a' 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'><table>\n",
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       "                        <td> </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 9.38 kiB </td>\n",
       "                        <td> 8 B </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-8cd87d2b-584a-42e7-a997-05826aeaee13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cd87d2b-584a-42e7-a997-05826aeaee13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78e518e6-255b-44a8-a8e4-f5c092d29a4d' class='xr-var-data-in' type='checkbox'><label for='data-78e518e6-255b-44a8-a8e4-f5c092d29a4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 4.69 kiB </td>\n",
       "                        <td> 4 B </td>\n",
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       "                        <td> (1,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>f11vmr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-209cbd2d-8361-4e50-96a6-9571c31146c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-209cbd2d-8361-4e50-96a6-9571c31146c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fff12c76-5507-42b7-b09c-30ae53abceba' class='xr-var-data-in' type='checkbox'><label for='data-fff12c76-5507-42b7-b09c-30ae53abceba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>f11 volume mixing ratio</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 9.38 kiB </td>\n",
       "                        <td> 8 B </td>\n",
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       "                    \n",
       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>f12vmr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-9d4369bc-5de6-4bb3-8b4e-1d13abc0c4b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d4369bc-5de6-4bb3-8b4e-1d13abc0c4b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41e47f53-b8b3-4a0e-9ff1-f401abf3a8bb' class='xr-var-data-in' type='checkbox'><label for='data-41e47f53-b8b3-4a0e-9ff1-f401abf3a8bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>f12 volume mixing ratio</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 9.38 kiB </td>\n",
       "                        <td> 8 B </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gw</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192), meta=np.ndarray&gt;</div><input id='attrs-81c0b805-442f-446d-95cb-a1d2ac376d79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81c0b805-442f-446d-95cb-a1d2ac376d79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-545658c9-22d2-4e6d-b4a5-d4f9d5e0f78e' class='xr-var-data-in' type='checkbox'><label for='data-545658c9-22d2-4e6d-b4a5-d4f9d5e0f78e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude weights</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 3601 graph layers </td>\n",
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       "                <tbody>\n",
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       "                        <td> 309.38 kiB </td>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hybm</span></div><div class='xr-var-dims'>(time, lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-5874faf7-4ddf-46aa-b992-6890838e116c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5874faf7-4ddf-46aa-b992-6890838e116c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5058c906-864e-47b9-b108-9adaeceee831' class='xr-var-data-in' type='checkbox'><label for='data-5058c906-864e-47b9-b108-9adaeceee831' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>hybrid B coefficient at layer midpoints</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 300.00 kiB </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 32) </td>\n",
       "                        <td> (1, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 38400 chunks in 3601 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"80\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mdt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1800 1800 1800 ... 1800 1800 1800</div><input id='attrs-d99b95d4-9e0b-4d20-80c4-919619ef7468' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d99b95d4-9e0b-4d20-80c4-919619ef7468' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6724579b-99c0-492b-8455-d7b8e07e8f46' class='xr-var-data-in' type='checkbox'><label for='data-6724579b-99c0-492b-8455-d7b8e07e8f46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>timestep</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>array([1800, 1800, 1800, ..., 1800, 1800, 1800], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n2ovmr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-f2c3d58e-cfba-46ae-9a5d-0ee1195b5235' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2c3d58e-cfba-46ae-9a5d-0ee1195b5235' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f110037a-454e-4119-969c-11143a6459d1' class='xr-var-data-in' type='checkbox'><label for='data-f110037a-454e-4119-969c-11143a6459d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>n2o volume mixing ratio</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 9.38 kiB </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbdate</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>10101 10101 10101 ... 10101 10101</div><input id='attrs-002ead23-4204-4f57-a0cb-0c0be2a3954c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-002ead23-4204-4f57-a0cb-0c0be2a3954c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a81f4e6a-54e3-45ab-bb19-f1dbb77b3bdb' class='xr-var-data-in' type='checkbox'><label for='data-a81f4e6a-54e3-45ab-bb19-f1dbb77b3bdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>base date (YYYYMMDD)</dd></dl></div><div class='xr-var-data'><pre>array([10101, 10101, 10101, ..., 10101, 10101, 10101], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbsec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</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-5ae2ac50-c424-45bf-86cd-010b0692d269' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ae2ac50-c424-45bf-86cd-010b0692d269' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d61dbb6-0147-45c9-a1cf-a85c11543657' class='xr-var-data-in' type='checkbox'><label for='data-0d61dbb6-0147-45c9-a1cf-a85c11543657' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>seconds of base date</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndbase</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</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-0211b239-be40-40c7-9236-437e2df15fee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0211b239-be40-40c7-9236-437e2df15fee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdf4d7cf-feaa-4877-8c7c-c9a531f6b50e' class='xr-var-data-in' type='checkbox'><label for='data-bdf4d7cf-feaa-4877-8c7c-c9a531f6b50e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>base day</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndcur</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-90ef435d-7d0e-4ccd-8eee-30d766f9c645' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90ef435d-7d0e-4ccd-8eee-30d766f9c645' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ba0421f-d2cd-4cda-8c0a-005e788d1ced' class='xr-var-data-in' type='checkbox'><label for='data-3ba0421f-d2cd-4cda-8c0a-005e788d1ced' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current day (from base day)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 4.69 kiB </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsbase</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</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-bbfcd4ca-c4b6-4614-8a4e-bff3beec4bf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbfcd4ca-c4b6-4614-8a4e-bff3beec4bf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84cac4aa-228f-4f21-885e-df2d1ad4bc72' class='xr-var-data-in' type='checkbox'><label for='data-84cac4aa-228f-4f21-885e-df2d1ad4bc72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>seconds of base day</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nscur</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-0c53aa33-8033-450a-9e94-96c6caa8673e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c53aa33-8033-450a-9e94-96c6caa8673e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78fd098d-efd0-4d57-86c9-01e97f81fb6c' class='xr-var-data-in' type='checkbox'><label for='data-78fd098d-efd0-4d57-86c9-01e97f81fb6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 4.69 kiB </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nsteph</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-7dfb49d9-3a15-492f-bbfc-034a30ce14d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dfb49d9-3a15-492f-bbfc-034a30ce14d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9d63b4c-50a1-4a3f-8467-3a17cb90d1e3' class='xr-var-data-in' type='checkbox'><label for='data-f9d63b4c-50a1-4a3f-8467-3a17cb90d1e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current timestep</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 4.69 kiB </td>\n",
       "                        <td> 4 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sol_tsi</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-4adc5144-ec7a-468c-8a7f-afdef0cefc9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4adc5144-ec7a-468c-8a7f-afdef0cefc9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a2b6cb0-06f6-4796-b7d5-d95e280018a3' class='xr-var-data-in' type='checkbox'><label for='data-1a2b6cb0-06f6-4796-b7d5-d95e280018a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total solar irradiance</dd><dt><span>units :</span></dt><dd>W/m2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 9.38 kiB </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200,) </td>\n",
       "                        <td> (1,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnd)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-9e844463-1810-409f-91b8-72e229530b7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e844463-1810-409f-91b8-72e229530b7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d731153-1fe9-4214-b562-d23c83ec2883' class='xr-var-data-in' type='checkbox'><label for='data-6d731153-1fe9-4214-b562-d23c83ec2883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time interval endpoints</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 18.75 kiB </td>\n",
       "                        <td> 16 B </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> object numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_written</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>|S8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-286b5fbf-e1ac-409c-a94d-3d8023aac199' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-286b5fbf-e1ac-409c-a94d-3d8023aac199' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a16b637-f3a8-4e33-b76d-7facbdbc35d1' class='xr-var-data-in' type='checkbox'><label for='data-1a16b637-f3a8-4e33-b76d-7facbdbc35d1' 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'><table>\n",
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       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 9.38 kiB </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200,) </td>\n",
       "                        <td> (1,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 2401 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> |S8 numpy.ndarray </td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 18.75 kiB </td>\n",
       "                        <td> 16 B </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>albedo</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-c777a73a-15f0-4f9a-bb11-8ed630f2dc9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c777a73a-15f0-4f9a-bb11-8ed630f2dc9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c737560-8eba-43d0-b3d5-fb1541ee960f' class='xr-var-data-in' type='checkbox'><label for='data-7c737560-8eba-43d0-b3d5-fb1541ee960f' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 192, 288) </td>\n",
       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 4804 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 192, 288), meta=np.ndarray&gt;</div><input id='attrs-df41708f-1a44-40fb-b77d-e1f99e9c62c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-df41708f-1a44-40fb-b77d-e1f99e9c62c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7417f837-5dab-4928-8b08-08b607aa6058' class='xr-var-data-in' type='checkbox'><label for='data-7417f837-5dab-4928-8b08-08b607aa6058' 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'><table>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 253.12 MiB </td>\n",
       "                        <td> 216.00 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1200, 192, 288) </td>\n",
       "                        <td> (1, 192, 288) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1200 chunks in 4803 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-2471d60d-48dc-4b20-85b0-d426797dc6fc' class='xr-section-summary-in' type='checkbox'  ><label for='section-2471d60d-48dc-4b20-85b0-d426797dc6fc' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ilev</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d04b47e5-3224-40d2-ae8c-6be26c5d635c' class='xr-index-data-in' type='checkbox'/><label for='index-d04b47e5-3224-40d2-ae8c-6be26c5d635c' 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(Index([ 2.255239523947239,  5.031691864132881,  10.15794742852449,\n",
       "        18.55531707406044,  29.73467559512106,  39.27300125360489,\n",
       "        47.11449891328812,   56.2404990196228,  66.80049747228622,\n",
       "        80.70141822099686,  94.94104236364365, 111.69321089982986,\n",
       "       131.40127062797546,  154.5868068933487, 181.86335265636444,\n",
       "       213.95282074809074, 251.70441716909409, 296.11721634864807,\n",
       "        348.3665883541107, 409.83521938323975,  482.1499288082123,\n",
       "          567.22442060709,  652.3329690098763,  730.4458916187286,\n",
       "        796.3630706071854,  845.3536666929722,  873.7158663570881,\n",
       "        900.3246314823627,  924.9644624069333,  947.4323345348239,\n",
       "        967.5386245362461,   985.112190246582,             1000.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ilev&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7f42384e-b67a-4fec-807b-0071779d6c22' class='xr-index-data-in' type='checkbox'/><label for='index-7f42384e-b67a-4fec-807b-0071779d6c22' 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(Index([             -90.0, -89.05759162303664,  -88.1151832460733,\n",
       "       -87.17277486910994,  -86.2303664921466, -85.28795811518324,\n",
       "        -84.3455497382199, -83.40314136125654, -82.46073298429319,\n",
       "       -81.51832460732984,\n",
       "       ...\n",
       "        81.51832460732984,   82.4607329842932,  83.40314136125653,\n",
       "        84.34554973821989,  85.28795811518324,   86.2303664921466,\n",
       "        87.17277486910996,  88.11518324607329,  89.05759162303664,\n",
       "                     90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=192))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lev</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2adb3064-fd56-4f7f-884b-b0c92f14a346' class='xr-index-data-in' type='checkbox'/><label for='index-2adb3064-fd56-4f7f-884b-b0c92f14a346' 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(Index([  3.64346569404006,  7.594819646328688, 14.356632251292467,\n",
       "       24.612220004200935,  35.92325001955032,   43.1937500834465,\n",
       "        51.67749896645546,  61.52049824595451,  73.75095784664154,\n",
       "        87.82123029232025, 103.31712663173676, 121.54724076390266,\n",
       "       142.99403876066208, 168.22507977485657,  197.9080867022276,\n",
       "       232.82861895859241,  273.9108167588711,  322.2419023513794,\n",
       "       379.10090386867523,   445.992574095726,  524.6871747076511,\n",
       "        609.7786948084831,  691.3894303143024,   763.404481112957,\n",
       "        820.8583686500788,  859.5347665250301,  887.0202489197254,\n",
       "         912.644546944648,  936.1983984708786,   957.485479535535,\n",
       "         976.325407391414,   992.556095123291],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lev&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-10e31761-6afe-4eaf-90e7-076ccc3e9dc5' class='xr-index-data-in' type='checkbox'/><label for='index-10e31761-6afe-4eaf-90e7-076ccc3e9dc5' 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(Index([   0.0,   1.25,    2.5,   3.75,    5.0,   6.25,    7.5,   8.75,   10.0,\n",
       "        11.25,\n",
       "       ...\n",
       "        347.5, 348.75,  350.0, 351.25,  352.5, 353.75,  355.0, 356.25,  357.5,\n",
       "       358.75],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=288))</pre></div></li><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-202f24f0-2b9e-4893-8d85-9a109d6fc406' class='xr-index-data-in' type='checkbox'/><label for='index-202f24f0-2b9e-4893-8d85-9a109d6fc406' 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(CFTimeIndex([0001-02-01 00:00:00, 0001-03-01 00:00:00, 0001-04-01 00:00:00,\n",
       "             0001-05-01 00:00:00, 0001-06-01 00:00:00, 0001-07-01 00:00:00,\n",
       "             0001-08-01 00:00:00, 0001-09-01 00:00:00, 0001-10-01 00:00:00,\n",
       "             0001-11-01 00:00:00,\n",
       "             ...\n",
       "             0100-04-01 00:00:00, 0100-05-01 00:00:00, 0100-06-01 00:00:00,\n",
       "             0100-07-01 00:00:00, 0100-08-01 00:00:00, 0100-09-01 00:00:00,\n",
       "             0100-10-01 00:00:00, 0100-11-01 00:00:00, 0100-12-01 00:00:00,\n",
       "             0101-01-01 00:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=1200, calendar=&#x27;noleap&#x27;, freq=&#x27;MS&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>zlon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-effccd35-fc50-4daf-9abd-4930cf0e0463' class='xr-index-data-in' type='checkbox'/><label for='index-effccd35-fc50-4daf-9abd-4930cf0e0463' 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(Index([0.0], dtype=&#x27;float64&#x27;, name=&#x27;zlon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-615141c8-6121-4fe2-b0d8-6a62a964ee51' class='xr-section-summary-in' type='checkbox'  ><label for='section-615141c8-6121-4fe2-b0d8-6a62a964ee51' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>source :</span></dt><dd>CAM</dd><dt><span>case :</span></dt><dd>NF2000climo_f09_f09_warmTP_test1</dd><dt><span>logname :</span></dt><dd>ingo</dd><dt><span>host :</span></dt><dd></dd><dt><span>initial_file :</span></dt><dd>/cluster/shared/noresm/inputdata/atm/cam/inic/fv/cami-mam3_0000-01-01_0.9x1.25_L32_c141031.nc</dd><dt><span>topography_file :</span></dt><dd>/cluster/shared/noresm/inputdata/atm/cam/topo/fv_0.9x1.25_nc3000_Nsw042_Nrs008_Co060_Fi001_ZR_sgh30_24km_GRNL_c170103.nc</dd><dt><span>model_doi_url :</span></dt><dd>https://doi.org/10.5065/D67H1H0V</dd><dt><span>time_period_freq :</span></dt><dd>month_1</dd><dt><span>history :</span></dt><dd>Mon May 13 11:57:29 2024: /cluster/software/NCO/4.9.5-iompi-2020a/bin/ncks -7 --cnk_dmn kk,1 --cnk_dmn kk2,1 --cnk_dmn lev,1 --cnk_dmn plev,1 --cnk_dmn k2,1 --cnk_dmn k3,1 -L 5 ./atm/hist/NF2000climo_f09_f09_warmTP_test1.cam.h0.0001-01.nc ./atm/hist/NF2000climo_f09_f09_warmTP_test1.cam.h0.0001-01.nc_tmp</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.9.5 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 109GB\n",
       "Dimensions:         (time: 1200, lat: 192, lon: 288, lev: 32, ilev: 33,\n",
       "                     zlon: 1, nbnd: 2)\n",
       "Coordinates:\n",
       "  * ilev            (ilev) float64 264B 2.255 5.032 10.16 ... 967.5 985.1 1e+03\n",
       "  * lat             (lat) float64 2kB -90.0 -89.06 -88.12 ... 88.12 89.06 90.0\n",
       "  * lev             (lev) float64 256B 3.643 7.595 14.36 ... 957.5 976.3 992.6\n",
       "  * lon             (lon) float64 2kB 0.0 1.25 2.5 3.75 ... 356.2 357.5 358.8\n",
       "  * time            (time) object 10kB 0001-02-01 00:00:00 ... 0101-01-01 00:...\n",
       "  * zlon            (zlon) float64 8B 0.0\n",
       "Dimensions without coordinates: nbnd\n",
       "Data variables: (12/140)\n",
       "    ABSVIS          (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "    ABSVVOLC        (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "    ALDIF           (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "    ALDIR           (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "    AODVVOLC        (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "    AOD_VIS         (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "    ...              ...\n",
       "    time_bnds       (time, nbnd) object 19kB dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    time_written    (time) |S8 10kB dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    zlon_bnds       (time, zlon, nbnd) float64 19kB dask.array<chunksize=(1, 1, 2), meta=np.ndarray>\n",
       "    Albedo          (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "    albedo          (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "    snow            (time, lat, lon) float32 265MB dask.array<chunksize=(1, 192, 288), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:       CF-1.0\n",
       "    source:            CAM\n",
       "    case:              NF2000climo_f09_f09_warmTP_test1\n",
       "    logname:           ingo\n",
       "    host:              \n",
       "    initial_file:      /cluster/shared/noresm/inputdata/atm/cam/inic/fv/cami-...\n",
       "    topography_file:   /cluster/shared/noresm/inputdata/atm/cam/topo/fv_0.9x1...\n",
       "    model_doi_url:     https://doi.org/10.5065/D67H1H0V\n",
       "    time_period_freq:  month_1\n",
       "    history:           Mon May 13 11:57:29 2024: /cluster/software/NCO/4.9.5-...\n",
       "    NCO:               netCDF Operators version 4.9.5 (Homepage = http://nco...."
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WTP_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "3736a029-acc1-4856-bdd9-fa47f857ba72",
   "metadata": {},
   "outputs": [],
   "source": [
    "control_ds_sub = control_ds.sel(lat=lat_bounds, lon=lon_bounds)\n",
    "WTP_ds_sub = WTP_ds.sel(lat=lat_bounds, lon=lon_bounds)\n",
    "\n",
    "lat = WTP_ds_sub['lat']\n",
    "lon = WTP_ds_sub['lon']\n",
    "\n",
    "R = 6.371e6\n",
    "lat_rad = np.deg2rad(lat)\n",
    "lon_rad = np.deg2rad(lon)\n",
    "\n",
    "dt = 3600\n",
    "\n",
    "dy = WTP_ds_sub['U'] * dt  \n",
    "dx = WTP_ds_sub['V'] * dt \n",
    "\n",
    "dlat = dy /R\n",
    "dlon = dx / (R * np.cos(lat_rad))\n",
    "\n",
    "# look up formulas for moisture transport out and into boz\n",
    "system_WTP = {}\n",
    "system_WTP['moisture'] = (WTP_ds_sub['Q'] * WTP_ds_sub['Wzm']) + (WTP_ds_sub['U'] * WTP_ds_sub['Q'] * dx + WTP_ds_sub['V'] * WTP_ds_sub['Q'] * dy)\n",
    "system_WTP['heat'] = WTP_ds_sub['THzm']* WTP_ds_sub['Wzm'] + (WTP_ds_sub['U'] * WTP_ds_sub['THzm'] * dx + WTP_ds_sub['V'] * WTP_ds_sub['THzm'] * dy)\n",
    "\n",
    "lat = control_ds_sub['lat']\n",
    "lon = control_ds_sub['lon']\n",
    "\n",
    "R = 6.371e6\n",
    "lat_rad = np.deg2rad(lat)\n",
    "lon_rad = np.deg2rad(lon)\n",
    "\n",
    "dt = 3600\n",
    "\n",
    "dy = control_ds_sub['U'] * dt  \n",
    "dx = control_ds_sub['V'] * dt \n",
    "\n",
    "dlat = dy /R\n",
    "dlon = dx / (R * np.cos(lat_rad))\n",
    "system_con = {}\n",
    "system_con['moisture'] = (control_ds_sub['Q'] * control_ds_sub['Wzm']) + (control_ds_sub['U'] * control_ds_sub['Q'] * dx + control_ds_sub['V'] * control_ds_sub['Q'] * dy)\n",
    "system_con['heat'] = control_ds_sub['THzm']* control_ds_sub['Wzm'] + (control_ds_sub['U'] * control_ds_sub['THzm'] * dx + control_ds_sub['V'] * control_ds_sub['THzm'] * dy)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "1aa86413-b929-4111-acd3-0110106928d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = system_con['heat'].groupby('time.year').mean('time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8ca12d5-c6a0-49aa-9f0f-16d7f3fb6ed1",
   "metadata": {},
   "outputs": [],
   "source": [
    "c.mean(dim = ['year']).values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e239d108-fe47-4794-af21-f826da047057",
   "metadata": {},
   "source": [
    "### Compute time-averaged values for moisture and heat transport\n",
    "system_WTP['moisture_mean'] = system_WTP['moisture'].groupby('time.year').mean('time').mean().compute()\n",
    "system_WTP['heat_mean'] = system_WTP['heat'].groupby('time.year').mean('time').mean().compute()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "136a35fb-ac8c-4aca-8ec9-08b9e8a120f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "system_con['moisture_mean'] = system_con['moisture'].groupby('time.year').mean('time').mean().compute()\n",
    "system_con['heat_mean'] = system_con['heat'].groupby('time.year').mean('time').mean().compute()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "4ee176c7-df9b-4a79-87a2-26c587abdb4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray ()> Size: 4B\n",
      "array(18.234426, dtype=float32)\n",
      "<xarray.DataArray ()> Size: 4B\n",
      "array(nan, dtype=float32)\n",
      "<xarray.DataArray ()> Size: 4B\n",
      "array(15.423224, dtype=float32)\n",
      "<xarray.DataArray ()> Size: 4B\n",
      "array(nan, dtype=float32)\n"
     ]
    }
   ],
   "source": [
    "print(system_WTP['moisture_mean'])\n",
    "print(system_WTP['heat_mean'])\n",
    "\n",
    "print (system_con['moisture_mean']) \n",
    "print (system_con['heat_mean']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "74b166af-9000-4e84-9e4b-820d9dc90faa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plt.plot(mon_diff['month'], mon_diff['PBLH'], label='PBL')\n",
    "    \n",
    "#plt.plot(mon_diff['month'], mon_diff['FSNS'], label='FSNS', color='black', linewidth = 3)\n",
    "    \n",
    "plt.title('Boundary Layer Hieght', fontsize=16)\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('W/m²')\n",
    "plt.axhline(y=0, color='black', linestyle='dotted')\n",
    "plt.tight_layout()\n",
    "plt.legend(loc='upper right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14eb6492-818b-4c3c-af90-7452f2518137",
   "metadata": {},
   "source": [
    "# snow to rain transition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "3877513b-dc21-4769-bb39-1f664b339b2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "control_ds['albedo'] = (control_ds['FSDS'] - control_ds['FSNS']) / control_ds['FSDS']\n",
    "WTP_ds['albedo'] = (WTP_ds['FSDS'] - WTP_ds['FSNS']) / WTP_ds['FSDS']\n",
    "WTP_ds['snow'] = WTP_ds['PRECSC'] + WTP_ds['PRECSL']\n",
    "control_ds['snow'] = control_ds['PRECSC'] + control_ds['PRECSL']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "a2d4d0ed-935c-48f6-8a96-618156e27fac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select the region of interest (mid-latitude or high-elevation areas)\n",
    "lon_bounds = slice(78, 104)\n",
    "lat_bounds = slice(27,40)\n",
    "# Variables of interest\n",
    "snow_precip = 'PRECSL'  # Snow precipitation\n",
    "total_precip = 'PRECT'  # Total precipitation\n",
    "albedo_var = 'ALBEDO'   # Surface albedo\n",
    "\n",
    "# Select relevant variables and region\n",
    "control_snow = control_ds['snow'].sel(lat=lat_bounds, lon=lon_bounds).groupby('time.month').mean(dim=['lat', 'lon', 'time'])\n",
    "control_rain = control_ds['PRECT'].sel(lat=lat_bounds, lon=lon_bounds).groupby('time.month').mean(dim=['lat', 'lon', 'time']) \n",
    "control_albedo = control_ds['albedo'].sel(lat=lat_bounds, lon=lon_bounds).groupby('time.month').mean(dim=['lat', 'lon', 'time'])\n",
    "\n",
    "# Similarly for the forced dataset\n",
    "WTP_snow = WTP_ds['snow'].sel(lat=lat_bounds, lon=lon_bounds).groupby('time.month').mean(dim=['lat', 'lon', 'time'])\n",
    "WTP_rain = WTP_ds['PRECT'].sel(lat=lat_bounds, lon=lon_bounds).groupby('time.month').mean(dim=['lat', 'lon', 'time']) \n",
    "WTP_albedo = WTP_ds['albedo'].sel(lat=lat_bounds, lon=lon_bounds).groupby('time.month').mean(dim=['lat', 'lon', 'time'])\n",
    "\n",
    "snow = WTP_snow - control_snow\n",
    "rain = WTP_rain - control_rain\n",
    "# Plot the time series of snow, rain, and albedo\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "x_axis = range(len(rain))\n",
    "# Snow and rain transitions\n",
    "plt.subplot(211)\n",
    "plt.plot(WTP_snow['month'], snow.values, label='(WTP - Control) Snow', color='blue')\n",
    "plt.plot(WTP_snow['month'], rain.values, label='(WTP - Control) Rain', color='green')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Precipitation (mm/day)')\n",
    "plt.legend()\n",
    "plt.title('Snow to Rain Transition')\n",
    "\n",
    "# Albedo changes\n",
    "plt.subplot(212)\n",
    "plt.plot(WTP_snow['month'], control_albedo.values, label='Control Albedo', color='black')\n",
    "plt.plot(WTP_snow['month'], WTP_albedo.values, label='WTP Albedo', color='gray', linestyle='--')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Albedo')\n",
    "plt.legend()\n",
    "plt.title('Albedo Change during Snow-to-Rain Transition')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19efd02c-c90d-4e7f-984f-b99f09919a54",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# ERA5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a7dae073-39f1-48e8-becf-ece2d968e9c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "era5 = '/nird/projects/NS9039K/data/external/reanalysis/ECMWF/ERA5/original/monthly_single_level/monthly_averaged_reanalysis/2t/ERA5_167_197901-202203.nc'\n",
    "df = xr.open_dataset(era5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1e67af34-9faa-4a6a-8de8-1161c5c0ffc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_bounds = slice(40, 27)\n",
    "lon_bounds = slice(78, 104)\n",
    "\n",
    "tmt = df['var167'].sel(lat=lat_bounds, lon=lon_bounds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cee4b17a-d5c5-4e92-b860-e85ffe8365b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# make the weighted avg\n",
    "\n",
    "lat = tmt['lat'].values\n",
    "lon = tmt['lon'].values#tmt['lon'].values\n",
    "weights = np.cos(np.deg2rad(lat))\n",
    "\n",
    "# Create a 2D field of weights for the TP region\n",
    "tp_weights = np.zeros_like(tmt[0, :, :])  # Initialize 2D array\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93d7f7bf-6e8e-45e0-91e0-73e139f1c617",
   "metadata": {},
   "source": [
    "## make weighted sums"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "da1cdcbb-627d-46d7-b8b5-873a69c20eba",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "KeyboardInterrupt\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Assign weights to the TP region\n",
    "for i, latitude in enumerate(lat):\n",
    "    tp_weights[i, :] = weights[i]\n",
    "\n",
    "# Normalize the weights by dividing by the sum of all weights\n",
    "tp_weights_normalized = tp_weights / np.sum(tp_weights)\n",
    "\n",
    "# Initialize an empty array to store TP temperature time series\n",
    "tp_temperature_timeseries = []\n",
    "\n",
    "# Loop over each time step (month) in the dataset\n",
    "for time_step in tmt.time:\n",
    "    sat_month = tmt.sel(time=time_step)  # SAT field for the specific month\n",
    "    tp_temp_month = np.sum(sat_month.values * tp_weights_normalized)  # Weighted sum\n",
    "    tp_temperature_timeseries.append(tp_temp_month)\n",
    "\n",
    "# Convert the list to a NumPy array for the time series\n",
    "tp_temperature_timeseries = np.array(tp_temperature_timeseries)\n",
    "\n",
    "# Save the TP temperature time series to a NetCDF file\n",
    "tp_temp_ds = xr.Dataset({\n",
    "    'tp_temperature': (['time'], tp_temperature_timeseries)\n",
    "}, coords={'time': tmt.time})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7f174191-c1bc-435c-afab-0b97df2acbd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the time series to a new NetCDF file\n",
    "tp.to_netcdf('/nird/home/fiona/data/ERA5/TP_mon_era5.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "85e3a64d-4182-409f-83fd-c65be713d563",
   "metadata": {},
   "outputs": [],
   "source": [
    "tp = tp_temp_ds -273.15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "309000f6-c7b2-42bf-a9a3-90791b7a31d5",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/dask/highlevelgraph.py:569\u001b[0m, in \u001b[0;36mHighLevelGraph.get_all_external_keys\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    568\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 569\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_all_external_keys\u001b[49m\n\u001b[1;32m    570\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m:\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'HighLevelGraph' object has no attribute '_all_external_keys'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[17], line 23\u001b[0m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m time_step \u001b[38;5;129;01min\u001b[39;00m WTP_ds[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTREFHT\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mtime:\n\u001b[1;32m     22\u001b[0m     sat_month \u001b[38;5;241m=\u001b[39m WTP_ds[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTREFHT\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39msel(time\u001b[38;5;241m=\u001b[39mtime_step)  \u001b[38;5;66;03m# SAT field for the specific month\u001b[39;00m\n\u001b[0;32m---> 23\u001b[0m     tp_temp_month \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msum(\u001b[43msat_month\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m \u001b[38;5;241m*\u001b[39m tp_weights_normalized)  \u001b[38;5;66;03m# Weighted sum\u001b[39;00m\n\u001b[1;32m     24\u001b[0m     tp_temperature_timeseries\u001b[38;5;241m.\u001b[39mappend(tp_temp_month)\n\u001b[1;32m     26\u001b[0m \u001b[38;5;66;03m# Convert the list to a NumPy array for the time series\u001b[39;00m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/dataarray.py:786\u001b[0m, in \u001b[0;36mDataArray.values\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    773\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m    774\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[1;32m    775\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    776\u001b[0m \u001b[38;5;124;03m    The array's data converted to numpy.ndarray.\u001b[39;00m\n\u001b[1;32m    777\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    784\u001b[0m \u001b[38;5;124;03m    to this array may be reflected in the DataArray as well.\u001b[39;00m\n\u001b[1;32m    785\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 786\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvariable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/variable.py:540\u001b[0m, in \u001b[0;36mVariable.values\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    537\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m    538\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mvalues\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    539\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"The variable's data as a numpy.ndarray\"\"\"\u001b[39;00m\n\u001b[0;32m--> 540\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_as_array_or_item\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/variable.py:338\u001b[0m, in \u001b[0;36m_as_array_or_item\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m    324\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_as_array_or_item\u001b[39m(data):\n\u001b[1;32m    325\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Return the given values as a numpy array, or as an individual item if\u001b[39;00m\n\u001b[1;32m    326\u001b[0m \u001b[38;5;124;03m    it's a 0d datetime64 or timedelta64 array.\u001b[39;00m\n\u001b[1;32m    327\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    336\u001b[0m \u001b[38;5;124;03m    TODO: remove this (replace with np.asarray) once these issues are fixed\u001b[39;00m\n\u001b[1;32m    337\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 338\u001b[0m     data \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    339\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m data\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m    340\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m data\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mkind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mM\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/dask/array/core.py:1693\u001b[0m, in \u001b[0;36mArray.__array__\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   1692\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1693\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1694\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m dtype \u001b[38;5;129;01mand\u001b[39;00m x\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m!=\u001b[39m dtype:\n\u001b[1;32m   1695\u001b[0m         x \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mastype(dtype)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/dask/base.py:376\u001b[0m, in \u001b[0;36mDaskMethodsMixin.compute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    352\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcompute\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m    353\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Compute this dask collection\u001b[39;00m\n\u001b[1;32m    354\u001b[0m \n\u001b[1;32m    355\u001b[0m \u001b[38;5;124;03m    This turns a lazy Dask collection into its in-memory equivalent.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    374\u001b[0m \u001b[38;5;124;03m    dask.compute\u001b[39;00m\n\u001b[1;32m    375\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 376\u001b[0m     (result,) \u001b[38;5;241m=\u001b[39m \u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtraverse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    377\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/dask/base.py:655\u001b[0m, in \u001b[0;36mcompute\u001b[0;34m(traverse, optimize_graph, scheduler, get, *args, **kwargs)\u001b[0m\n\u001b[1;32m    647\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m args\n\u001b[1;32m    649\u001b[0m schedule \u001b[38;5;241m=\u001b[39m get_scheduler(\n\u001b[1;32m    650\u001b[0m     scheduler\u001b[38;5;241m=\u001b[39mscheduler,\n\u001b[1;32m    651\u001b[0m     collections\u001b[38;5;241m=\u001b[39mcollections,\n\u001b[1;32m    652\u001b[0m     get\u001b[38;5;241m=\u001b[39mget,\n\u001b[1;32m    653\u001b[0m )\n\u001b[0;32m--> 655\u001b[0m dsk \u001b[38;5;241m=\u001b[39m \u001b[43mcollections_to_dsk\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcollections\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moptimize_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    656\u001b[0m keys, postcomputes \u001b[38;5;241m=\u001b[39m [], []\n\u001b[1;32m    657\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m collections:\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/dask/base.py:428\u001b[0m, in \u001b[0;36mcollections_to_dsk\u001b[0;34m(collections, optimize_graph, optimizations, **kwargs)\u001b[0m\n\u001b[1;32m    426\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m opt, val \u001b[38;5;129;01min\u001b[39;00m groups\u001b[38;5;241m.\u001b[39mitems():\n\u001b[1;32m    427\u001b[0m     dsk, keys \u001b[38;5;241m=\u001b[39m _extract_graph_and_keys(val)\n\u001b[0;32m--> 428\u001b[0m     dsk \u001b[38;5;241m=\u001b[39m \u001b[43mopt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    430\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m opt_inner \u001b[38;5;129;01min\u001b[39;00m optimizations:\n\u001b[1;32m    431\u001b[0m         dsk \u001b[38;5;241m=\u001b[39m opt_inner(dsk, keys, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/dask/array/optimization.py:51\u001b[0m, in \u001b[0;36moptimize\u001b[0;34m(dsk, keys, fuse_keys, fast_functions, inline_functions_fast_functions, rename_fused_keys, **kwargs)\u001b[0m\n\u001b[1;32m     49\u001b[0m dsk \u001b[38;5;241m=\u001b[39m optimize_blockwise(dsk, keys\u001b[38;5;241m=\u001b[39mkeys)\n\u001b[1;32m     50\u001b[0m dsk \u001b[38;5;241m=\u001b[39m fuse_roots(dsk, keys\u001b[38;5;241m=\u001b[39mkeys)\n\u001b[0;32m---> 51\u001b[0m dsk \u001b[38;5;241m=\u001b[39m \u001b[43mdsk\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcull\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mset\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     53\u001b[0m \u001b[38;5;66;03m# Perform low-level fusion unless the user has\u001b[39;00m\n\u001b[1;32m     54\u001b[0m \u001b[38;5;66;03m# specified False explicitly.\u001b[39;00m\n\u001b[1;32m     55\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m config\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moptimization.fuse.active\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m:\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/dask/highlevelgraph.py:726\u001b[0m, in \u001b[0;36mHighLevelGraph.cull\u001b[0;34m(self, keys)\u001b[0m\n\u001b[1;32m    722\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdask\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlayers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Blockwise\n\u001b[1;32m    724\u001b[0m keys_set \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(flatten(keys))\n\u001b[0;32m--> 726\u001b[0m all_ext_keys \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_all_external_keys\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    727\u001b[0m ret_layers: \u001b[38;5;28mdict\u001b[39m \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m    728\u001b[0m ret_key_deps: \u001b[38;5;28mdict\u001b[39m \u001b[38;5;241m=\u001b[39m {}\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/dask/highlevelgraph.py:576\u001b[0m, in \u001b[0;36mHighLevelGraph.get_all_external_keys\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    571\u001b[0m keys: \u001b[38;5;28mset\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m()\n\u001b[1;32m    572\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m layer \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlayers\u001b[38;5;241m.\u001b[39mvalues():\n\u001b[1;32m    573\u001b[0m     \u001b[38;5;66;03m# Note: don't use `keys |= ...`, because the RHS is a\u001b[39;00m\n\u001b[1;32m    574\u001b[0m     \u001b[38;5;66;03m# collections.abc.Set rather than a real set, and this will\u001b[39;00m\n\u001b[1;32m    575\u001b[0m     \u001b[38;5;66;03m# cause a whole new set to be constructed.\u001b[39;00m\n\u001b[0;32m--> 576\u001b[0m     \u001b[43mkeys\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlayer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_output_keys\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    577\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_all_external_keys \u001b[38;5;241m=\u001b[39m keys\n\u001b[1;32m    578\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m keys\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# make the weighted avg\n",
    "\n",
    "lat = WTP_ds['lat'].values\n",
    "lon = WTP_ds['lon'].values#tmt['lon'].values\n",
    "weights = np.cos(np.deg2rad(lat))\n",
    "\n",
    "\n",
    "tp_weights = np.zeros_like(WTP_ds['TREFHT'][0, :, :])\n",
    "# Assign weights to the TP region\n",
    "for i, latitude in enumerate(lat):\n",
    "    tp_weights[i, :] = weights[i]\n",
    "\n",
    "# Normalize the weights by dividing by the sum of all weights\n",
    "tp_weights_normalized = tp_weights / np.sum(tp_weights)\n",
    "\n",
    "\n",
    "tp_temperature_timeseries = []\n",
    "\n",
    "# Loop over each time step (month) in the dataset\n",
    "for time_step in WTP_ds['TREFHT'].time:\n",
    "    sat_month = WTP_ds['TREFHT'].sel(time=time_step)  \n",
    "    tp_temp_month = np.sum(sat_month.values * tp_weights_normalized)  \n",
    "    tp_temperature_timeseries.append(tp_temp_month)\n",
    "\n",
    "\n",
    "wtp_weight = np.array(tp_temperature_timeseries)\n",
    "\n",
    "tp_temperature_timeseries = []\n",
    "\n",
    "for time_step in control_ds['TREFHT'].time:\n",
    "    sat_month = control_ds['TREFHT'].sel(time=time_step)  \n",
    "    tp_temp_month = np.sum(sat_month.values * tp_weights_normalized)  \n",
    "    tp_temperature_timeseries.append(tp_temp_month)\n",
    "\n",
    "\n",
    "control_weight = np.array(tp_temperature_timeseries)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89fce4fa-4357-4f08-914b-124de96eac1d",
   "metadata": {},
   "source": [
    "## plot era5 averages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f82c8a8-63a0-4c58-9326-16ee8256a8a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "control_weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "3f65e7f3-370b-4d5e-8624-7e00de1c7364",
   "metadata": {},
   "outputs": [],
   "source": [
    "mon = tp['tp_temperature'].groupby('time.month').mean('time')\n",
    "seas = tp['tp_temperature'].groupby('time.season').mean('time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "7f80545a-1b81-49b3-b898-fdbee613dbb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize =(12,6))\n",
    "plt.plot(mon['month'], mon.values, label='temp')\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('Temperature (C)')\n",
    "plt.title('Monthly Average TP Temp ERA5 (weighted')\n",
    "plt.grid(True)\n",
    "plt.xticks(np.arange(1, 13), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "26237906-2a41-4f89-a0c4-77d6aed11677",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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L1KJFC+XMmVOtW7fWDz/8oBo1aigiIiLVRxBatGihESNGKHfu3CpcuPA9vRaLxSI3N7fkMWnp6nv2448/ptjv+scDpk2blmIxwBkzZqRaWb5FixZauHChihYtesuR/cyuSZMmcnNz04EDB9SuXbsH8pw///xziudavXq1jhw5ohdeeMGhz1u8eHENGDBAQ4cO1bRp0/TUU0/pl19+UWxsrN5///0UZ+Wv69ChgyZOnHjHAn/o0CGtWrVKjRo1cmR8AMjWKPAAgAx3/XJad/Lcc8/piy++UJcuXXT48GGVL19eK1eu1IgRI9SsWbN7KgHly5eXJI0bN05dunSR1WpVyZIlU3x2/n707t1bTz75pCwWy13PRErSokWLdPLkSY0aNUr169dPdXu5cuU0fvx4TZgwQS1atJB0dYx+2rRp6tWrlwoUKJDqfejTp49mzpypunXr6vXXX1eFChVkt9t19OhRLVmyRG+88cZdry/fvHlzffLJJ3r66af14osv6vz58xozZkzyP4BcV7ZsWT311FP6+OOP5erqqoYNG2rHjh36+OOPFRAQkOJM67Bhw7R06VLVrFlTr732mkqWLKm4uDgdPnxYCxcu1Ndff33ba4lnBmFhYRo2bJjeeecdHTx4UE2bNlXOnDl1+vRprV+/Xj4+Pho6dGiGPufGjRv1wgsvqEOHDjp27JjeeecdhYSEpOlnS5K2b99+y0v0FS1a9K6r8ffr109ff/21hg4dqo4dO2rChAnKmTOn+vXrd8t1BJ577jl98sknCg8PV8WKFdWoUSPVrVtXFSpUkL+/v7Zt26aPPvpIFosl1ZUMAAAZhwIPADCFp6enli1bpnfeeUejR4/W2bNnFRISon79+mnw4MH39Jj169fXwIEDNWXKFH333Xey2+1atmzZLcvzvWjdurU8PDzUoEEDFS9e/K77T5gwQe7u7smXgLtZYGCg2rRpoxkzZuj06dMKCgpSo0aNFBoamlzobh5H9vHx0YoVK/Thhx/q22+/1aFDh+Tl5aWCBQuqUaNGCgsLu2uuhg0bauLEiRo1apRatmypkJAQ9ejRQ3nz5tXzzz+fYt9JkyYpX758mjBhgj799FNVqlRJv/32m5o2bZri89D58uXTxo0b9f7772v06NE6fvy4/Pz8VLhw4eQynNkNHDhQZcqU0bhx4zR16lTFx8crODhYDz30kF5++eUMf74JEyboxx9/VKdOnRQfH68GDRpo3Lhxt/wc/a3c7ufqu+++u+tZfF9fXw0aNEivvPKKhg8frk2bNqlPnz63XQTwxRdf1CeffKIJEybos88+U/ny5TVt2jSNGTNGsbGxyps3rxo2bKj33nvvlpenAwBkDIth3ObCngAAIIV58+apVatWWrBgQYoVyLOb1atXq1atWvr555/19NNPmx3H6UyePFndunXThg0b0rQIHQAA13EGHgCAu9i5c6eOHDmiN954Q5UqVUq+NFp2sHTpUq1Zs0ZVq1aVl5eXwsPD9eGHH6p48eJq27at2fEAAMhWKPAAANxFz549tWrVKlWpUkVTpky55cruWZW/v7+WLFmisWPHKioqSoGBgXr88cc1cuTIe77mOgAAuDeM0AMAAAAA4AS4UCcAAAAAAE6AAg8AAAAAgBOgwAMAAAAA4ARYxO4mdrtdJ0+elJ+fX7ZapAgAAAAAYA7DMBQVFaX8+fPLxeX259kp8Dc5efKkQkNDzY4BAAAAAMhmjh07pgIFCtz2dgr8Tfz8/CRdfeP8/f1NTnN7NptNS5Ys0WOPPSar1Wp2HABZEMcZAI7GcQaAIznTMSYyMlKhoaHJffR2KPA3uT427+/vn+kLvLe3t/z9/TP9DyMA58RxBoCjcZwB4EjOeIy528e4WcQOAAAAAAAnQIEHAAAAAMAJUOABAAAAAHACfAYeAAAAAJCCYRhKTExUUlKS2VHumc1mk5ubm+Li4kx/Ha6urnJzc7vvS5VT4AEAAAAAyRISEnTq1CnFxMSYHeW+GIah4OBgHTt27L6Lc0bw9vZWvnz55O7ufs+PQYEHAAAAAEiS7Ha7Dh06JFdXV+XPn1/u7u6ZovzeC7vdritXrsjX11cuLuZ9etwwDCUkJOjs2bM6dOiQihcvfs95KPAAAAAAAElXz77b7XaFhobK29vb7Dj3xW63KyEhQZ6enqYWeEny8vKS1WrVkSNHkjPdCxaxAwAAAACkYHbhzYoy4j3luwIAAAAAgBOgwAMAAAAA4AQo8AAAAAAAOAEKPAAAAADA6dWvX199+vQxO4ZDUeABAAAAAHACFHgAAAAAwG0ZhqGYhERT/hiGkaaMXbt21b///qtx48bJYrHIYrHo8OHD2r17t5o3by5fX18FBQXp2Wef1blz55LvV79+fb366qvq06ePcubMqaCgIH377beKjo5Wt27d5Ofnp6JFi2rRokXJ9/nnn39ksVi0YMECVaxYUZ6enqpevbq2bduW4e/9zbgOPAAAAADgtmJtSSoz6A9TnnvnsCbydr97bR03bpz27t2rcuXKadiwYZIkm82mFi1aqEePHvr0008VGxurN998Ux07dtTff/+dfN8pU6ZowIABWr9+vaZNm6b//e9/mjNnjtq0aaO3335bn376qZ599lkdPXpU3t7eyffr37+/xo0bp+DgYL399ttq1aqV9u7dK6vVmvFvxDWcgQcAAAAAOLWAgAC5u7vL29tbwcHBCg4O1rfffquKFStq+PDhKlWqlCpXrqyJEydq2bJl2rt3b/J9K1asqHfffVfFixfXwIED5eXlpcDAQPXo0UPFixfXoEGDdP78eW3dujXFcw4ePFiNGzdW+fLlNWXKFJ0+fVqzZ8926OvkDDwA4JZ2nYpStM3sFAAAwGxeVlftHNbEtOe+V5s2bdKKFSvk7++f6rYDBw6oRIkSkqQKFSokb3d1dVXu3LlVvnz55G1BQUGSpDNnzqR4jBo1aiT/PVeuXCpZsqR27dp1z3nTggIPAEhl9ubjen1auHzcXJWj+Bk1qxhidiQAAGASi8WSpjH2zMZut6tp06YaM2aMXFxSDp/ny5cv+e83j7xbLJYU2ywWS/Lj3c31fR3F+b4LAACHirgcp8Fzd0iSohMt6jl1i546cF7vtSjjlP/xBgAA2YO7u7uSkpKSv65SpYpmzJihsLAwubu7Z/jzrV27VgULFpQkXbx4UXv37lWpUqUy/HluxGfgAQDJDMPQwFlbFRmXqPIh/mqY3y6LRZq6/phafLZSW49fMjsiAADALYWFhWndunU6fPiwzp07p549e+rixYt6+umntX79eh08eFBLlixR9+7dUxT9ezVs2DD99ddf2r59u7p27arAwEC1bt36/l/IHVDgAQDJpm86rmV7zsrd1UWj2pbTE4XsmtK1qoL9PXXwXLTafrlaXyzbryR72i7pAgAA8KD069dPrq6uKlOmjPLkyaOEhAQtXrxYSUlJatKkicqVK6fevXsrICAg1Uj9vfjwww/Vu3dvVa1aVadOndLvv//ukDP9N2IWEgAgSTp1OVbvz9spSer7WAkVz+urfZJqFMmtxX3qaOCsbVq0PUKj/9ijf/ee1adPVlJIDi9zQwMAAFxTokQJrVmzJvlru92uXLlyaebMmbct7P/880+qbYcPH0617VbXo69du7a2b99+z3nvBWfgAQAyDENvztymqPhEVS6YQz3qFElxew5vd335TBV91L6CvN1dtf7QBTUdu1zzwk+alBgAACD7ocADADRtwzEt33tW7m4uGt2+olxdUq+garFY1LFaqBa+VkcVQ3MoKi5Rr07drL6/bVFUHNebAwAAcDQKPABkc8cvxuiDBVevWdr/sZIqltf3jvuHBfpoxss19FrDYnKxSLP+O6Fmn63QpiMXH0RcAAAAU9WvX1+GYShHjhwP/Lkp8ACQjRmGobdmbtOV+ERVLZRT3WsXTtP9rK4u6vtYSU17qYZCcnjp2IVYdfxmjT5duleJSXe/RioAAADSjwIPANnYL+uPauX+c/K0umh0+wq3HJ2/k4fCcmlRnzpqXSm/kuyGxv21Tx2/WaOj52MclBgAADwIt1q0DfcnI95TCjwAZFPHLsRo+LXR+QFNSqlInjuPzt+Ov6dVYztV1tgnK8nPw03/Hb2kZp+t0MxNx/mPPwAATsZqtUqSYmL4x/iMdv09vf4e3wsuIwcA2ZDdbmjAjK2KSUjSw2G51LVm2H0/ZuvKIapaKKf6/rZFGw5f1BvTw7VszxkNb11eAd73/h8qAADw4Li6uipHjhw6c+aMJMnb21sWS/om9DILu92uhIQExcXFZch13++VYRiKiYnRmTNnlCNHDrm6ut7zY1HgASAb+mndEa05eF5eVld91L6CXNI5On87obm89euLNfTVP/v16Z/7NH/rKf135KI+ebKSHimSO0OeAwAAOFZwcLAkJZd4Z2UYhmJjY+Xl5ZUp/hEiR44cye/tvaLAA0A2c/R8jEYu3C1JeuvxUgoL9MnQx3d1sahXw+KqVSxQfaZt0ZHzMXrqu7V6uV5Rvd6ohNzd+PQWAACZmcViUb58+ZQ3b17ZbM57qVibzably5erbt269zW2nhGsVut9nXm/jgIPANmI3W6o34xwxdqS9EiRXHr2kUIOe67KBXNqwWt1NGzeDv228bi++ueAVu47p7GdKqnoPX7eHgAAPDiurq4ZUjrN4urqqsTERHl6eppe4DMKp0EAIBuZsuaw1h+6IG93V41uXzHDRudvx9fDTR+1r6gvn6miAC+rtp24rBafrdTU9UdZ4A4AACCdKPAAkE0cOhetUYuvjs4PbFZaobm8H9hzNyufT4v71FHNorkVa0vSwFnb9NKPm3QhOuGBZQAAAHB2FHgAyAaS7Ib6Tw9XnM2uWsVy65mHCz7wDPkCvPTT89X1drNSsrpatGTnaTUdu1wr9p194FkAAACcEQUeALKBSasOaeORi/Jxd9Wodhm36nx6ubhY9GLdoprds5aK5vHRmah4PTthvd6fv1NxtiRTMgEAADgLCjwAZHEHzl7R6D/2SJLebVFGBXI+uNH52ykXEqD5r9ZR50euTgJMWHlIrb9Ypb2no0xOBgAAkHlR4AEgC0uyG+o3PVzxiXbVKR6oTg+Fmh0pmZe7qz5oXV7fP1dNuXzctTsiSi0/X6kpqw+zwB0AAMAtUOABIAv7fsVBbT56SX4ebhrVroIsFnNG5++kUZkgLe5TR/VK5FF8ol2Df9+h7pM36GxUvNnRAAAAMhUKPABkUfvPROnjpXslSe+1KKP8ObxMTnR7ef08NbnbQxrSsozc3Vy0bM9ZNR27XH/vPm12NAAAgEyDAg8AWVBikl1vTN+qhES76pfMow7VCpgd6a4sFou61iqseb1qq1Swn85HJ6j75I16b852xSawwB0AAAAFHgCyoG9XHFT4sUvy83TTh20z5+j87ZQM9tOcV2rp+dqFJUk/rj2iluNXasfJyyYnAwAAMBcFHgCymD0RURq7dJ8kaXDLsgoO8DQ5Ufp5Wl31XosymtL9YeXx89D+M1fU+otV+m75QdntLHAHAACyJwo8AGQhtiS7+k0PV0KSXY+Wyqt2VULMjnRf6pXIo8W966hxmSDZkgwNX7hLz05cp4jLcWZHAwAAeOAo8ACQhXzz7wFtO3FZAV5WjWhb3qlG528nt6+Hvn22qka0KS9Pq4tW7T+vpuOWa/H2U2ZHAwAAeKAo8ACQRew6Falxf10dnR/aqqyC/J1vdP52LBaLnq5eUPNfraNyIf66FGPTyz/9pzdnbFV0fKLZ8QAAAB4ICjwAZAG2JLve+C1ctiRDjcsE6YlK+c2O5BDF8vpq1v9q6X/1i8pikaZtPKbmn61Q+LFLZkcDAABwOAo8AGQBXyzbr52nIpXD26rhbcplidH523F3c9GbTUvplxceUb4ATx0+H6N2X63WF8v2K4kF7gAAQBZGgQcAJ7fj5GWN/3u/JGnYE+WU1y/rjM7fSY2iubW4d101L59PiXZDo//Yo6e+XavjF2PMjgYAAOAQFHgAcGIJiVdH5xPthh4vF6yWFfKZHemBCvC2avzTlTWmQ0X5uLtq/eELenzcCs3dcsLsaAAAABmOAg8ATmz83/u0OyJKuXzc9X7rrD06fzsWi0XtqxbQwt51VLlgDkXFJar3r1v0+rQtioyzmR0PAAAgw1DgAcBJbTt+WV/8c0CS9P4T5RTo62FyInMVyu2j6S/VUO9Hi8vFIs3efELNxq3QxsMXzI4GAACQIZyqwC9fvlwtW7ZU/vz5ZbFYNGfOnBS3G4ahIUOGKH/+/PLy8lL9+vW1Y8cOc8ICgAPFJyap3/RwJdkNNa+QT82z2ej87bi5uuj1xiX020s1VCCnl45fjFXHb9bok6V7lZhkNzseAADAfXGqAh8dHa2KFStq/Pjxt7z9o48+0ieffKLx48drw4YNCg4OVuPGjRUVFfWAkwKAY3321z7tOR2lQF93vf9EObPjZDrVwnJpUe86als5RHbj6vvV/us1OnI+2uxoAAAA98ypCvzjjz+uDz74QG3btk11m2EYGjt2rN555x21bdtW5cqV05QpUxQTE6NffvnFhLQA4Bjhxy7pq2uj8x+0LqdcPu4mJ8qc/Dyt+uTJShrXqZL8PN205dglNRu3QtM3HpNhcLk5AADgfNzMDpBRDh06pIiICD322GPJ2zw8PFSvXj2tXr1aL7300i3vFx8fr/j4+OSvIyMjJUk2m002W+Zd/Oh6tsycEUDGi7clqe9vW2Q3pBblg/VoyUCHHQeyynGmWdm8qhhSQ/1nbteGwxfVf8ZW/b3rtIa1KqMc3laz4wHZWlY5zgDInJzpGJPWjFmmwEdEREiSgoKCUmwPCgrSkSNHbnu/kSNHaujQoam2L1myRN7e3hkb0gGWLl1qdgQAD9DvR1x04KyL/KyGanoc18KFxx3+nFnlOPN0sBRkt2jhMRct2nFaa/ZFqHMxu4oHcDYeMFtWOc4AyJyc4RgTExOTpv2yTIG/7uZLKBmGccfLKg0cOFB9+/ZN/joyMlKhoaF67LHH5O/v77Cc98tms2np0qVq3LixrFbOIAHZweZjl7Rs7XpJ0kcdKqtR6bwOfb6seJxpIanb8ct6Y8Y2HT4foy92uapH7TD1blhM7m5O9akyIEvIiscZAJmHMx1jrk+C302WKfDBwcGSrp6Jz5fv/1djPnPmTKqz8jfy8PCQh0fqSy9ZrdZM/02WnCcngPsTZ0vSW7N3yG5IbSuH6PEKIQ/subPacaZq4UAteK2O3p+/U79uOKZvVxzW6oMXNPbJyiqW19fseEC2lNWOMwAyF2c4xqQ1X5Y53VC4cGEFBwenGI9ISEjQv//+q5o1a5qYDADu38dL9ujg2Wjl9fPQ4JZlzY7j9Hw83PRhuwr6unMV5fC2avuJSLX4fIV+XneEBe4AAECm5VQF/sqVK9qyZYu2bNki6erCdVu2bNHRo0dlsVjUp08fjRgxQrNnz9b27dvVtWtXeXt76+mnnzY3OADch42HL+j7lYckSSPbllcAC69lmKbl8mlx77qqXSxQcTa73pm9XT1+2KTzV+LvfmcAAIAHzKlG6Ddu3KgGDRokf339s+tdunTR5MmTNWDAAMXGxqpnz566ePGiqlevriVLlsjPz8+syABwX2ITktR/xlYZhtS+agE9Wvr2HwnCvQkO8NQP3R/WxFWH9NHiPfpz12k1HXdJYzpUVL0SecyOBwAAkMypCnz9+vXvONposVg0ZMgQDRky5MGFAgAHGv3HHh06F61gf0+916KM2XGyLBcXi16oU0Q1iuZW71+3aP+ZK+oycb261QrTm01LydPqanZEAAAA5xqhB4DsZN3B85q0+trofLvyCvBidN7RyuYP0PxXa6tLjUKSpEmrDuuJ8au0OyJtK8MCAAA4EgUeADKhmITE5NH5J6uFqkFJx14yDv/P0+qqoU+U08Su1RTo6649p6PUavwqTVp1iAXuAACAqSjwAJAJfbR4j45eiFH+AE+906K02XGypYalgrSod101KJlHCYl2DZ23U10nbdCZqDizowEAgGyKAg8AmcyaA+c1efVhSdKo9hXk78novFny+HloYteHNOyJsvJwc9G/e8+q6dgVWrrztNnRAABANkSBB4BMJDo+Uf1nhEuSnq5eUHWKswq62SwWi56rEaZ5r9ZWqWA/XYhOUI8fNuqd2dsUm5BkdjwAAJCNUOABIBMZuWiXjl+MVUgOL73djNH5zKREkJ/m9qqlHnUKS5J+XndUzT9foe0nLpucDAAAZBcUeADIJFbtP6ef1h6VJH3UvoJ8PZzqSp/Zgoebq95pXkY/Pv+w8vp56ODZaLX5cpW++feA7HYWuAMAAI5FgQeATCAqzqYBM7ZKkp59pJBqFQs0ORHupE7xPPqjT101KRskW5KhkYt2q/OEdTp1OdbsaAAAIAujwANAJjBi4W6duBSr0FxeeuvxUmbHQRrk9HHX152r6sO25eVlddXqA+fVdOwKLdx2yuxoAAAgi6LAA4DJlu89q6nrr43Ot6soH0bnnYbFYlGnhwtqwWu1VaFAgC7H2tTz5//Uf3q4rsQnmh0PAABkMRR4ADBRZJxNb868OjrftWaYahTNbXIi3IsieXw183819UqDorJYpOmbjqv5Zyu0+ehFs6MBAIAshAIPACYaPn+XTl2OU6Hc3hrQtKTZcXAfrK4u6t+klKb2eET5Azx15HyM2n+9Rp//tU9JLHAHAAAyAAUeAEyybM8ZTdt4TBaLNLp9RXm7MzqfFTxSJLcW9amrFhXyKclu6OOle/XkN2t07EKM2dEAAICTo8ADgAkux9j01rXR+e61CuvhwrlMToSMFOBl1edPVdYnHSvK18NNG49cVLNxKzRn8wmzowEAACdGgQcAEwybv1OnI+NVONBH/R5jdD4rslgsalulgBb1rqOqhXIqKj5RfaZtUe9fN+tyrM3seAAAwAlR4AHgAftz52nN/O+4LBZpTIcK8nJ3NTsSHCg0l7emvfiIXm9UQq4uFs3dclLNxq3Q+kMXzI4GAACcDAUeAB6gSzEJenv2NklSjzpFVLUQo/PZgZuri3o3Kq7fXqqhgrm8deJSrDp9u0YfL9kjW5Ld7HgAAMBJUOAB4AEaOm+nzkTFq2geH/VtXMLsOHjAqhbKqYW966hdlQKyG9Lnf+9X+6/X6NC5aLOjAQAAJ0CBB4AH5I8dEZq9+YRcLNKYDhXlaWV0Pjvy9XDTxx0ravzTleXv6abwY5fU/LMV+m3DMRkGl5sDAAC3R4EHgAfgYnSC3pm9XZL0Yt2iqlwwp8mJYLYWFfJrcZ+6ql44l2ISkjRg5lb1/Pk/XYxOMDsaAADIpCjwAPAADP59h85diVfxvL7q06i42XGQSeTP4aVfejyiN5uWkpuLRYu2R6jpuOVatf+c2dEAAEAmRIEHAAdbtO2Ufg8/KVcXC6PzSMXVxaL/1S+q2T1rqUigj05HxqvzhHUauXCX4hOTzI4HAAAyEQo8ADjQ+SvxenfO1dH5l+sVUcXQHOYGQqZVvkCA5r9WW09XLyjDkL5ZflBtvlit/WeizI4GAAAyCQo8ADjQoLk7dD46QSWD/PTao4zO48683d00ok15fftsVeX0tmrnqUg1/2ylflx7hAXuAAAABR4AHGX+1pNasO2UXF0s+rhjRXm4MTqPtHmsbLD+6FNXdYoHKj7RrvfmbNcLUzbq3JV4s6MBAAATUeABwAHORsXrvWuj8680KKZyIQEmJ4KzyevvqSndHtZ7LcrI3dVFf+0+o6Zjl2vZnjNmRwMAACahwANABjMMQ+/O2aaLMTaVzuevXg2KmR0JTsrFxaLnaxfW3F61VCLIV+euJKjbpA0a8vsOxdlY4A4AgOyGAg8AGez38JP6Y8dpublYNKZDBbm7cajF/Smdz1+/96qtrjXDJEmTVx9Wq/ErtetUpLnBAADAA8VvlQCQgc5ExWnw7zskSa82LK6y+RmdR8bwtLpqSKuymtTtIQX6emjv6St6YvwqTVh5SHY7C9wBAJAdUOABIIMYhqF3Zm/XpRibyub3V88GRc2OhCyoQcm8Wtynjh4tlVcJSXa9P3+nukxar9ORcWZHAwAADkaBB4AMMmfLCS3deVpW16urzltdOcTCMQJ9PfR9l2p6v3U5ebi5aMW+c2o6drn+2BFhdjQAAOBA/HYJABngdGScBs+9Ojrf+9HiKhXsb3IiZHUWi0XPPlJIC16rrTL5/HUxxqaXftykgbO2KSYh0ex4AADAASjwAHCfDMPQwFnbFBmXqPIhAXq5HqPzeHCK5fXT7Fdq6qW6RSRJU9cfVYvPVmrb8csmJwMAABmNAg8A92nmfyf09+4zcnd10ccdK8qN0Xk8YB5urhrYrLR+fqG6gv09dfBctNp8uUpf/XNASSxwBwBAlsFvmQBwH05djtXQeVdH519vXEIlgvxMToTsrFaxQC3qXUePlwtWot3QqMW79fR3a3XyUqzZ0QAAQAagwAPAPTIMQ2/N3KaouERVCs2hHnUKmx0JUE4fd335TBV91K6CvN1dte7QBTUdu1zzt540OxoAALhPFHgAuEe/bTymf/eelbubi8Z0YHQemYfFYlHHh0K18LU6qhiaQ5Fxier1y2a98Vu4rsSzwB0AAM6K3zYB4B6cuBSr9+fvkiT1e6yEiuX1NTkRkFpYoI9mvFxDrzYsJheLNPO/42o2boU2HblodjQAAHAPKPAAkE5XR+e36kp8oqoUzKHnaxcxOxJwW1ZXF73xWEn9+mINheTw0tELMer4zRqN+3OfEpPsZscDAADpQIEHgHSauv6YVuw7J49ro/OuLhazIwF39XDhXFrUp46eqJRfSXZDn/65V09+u1ZHz8eYHQ0AAKQRBR4A0uHYhRgNX7BTktS/SUkVycPoPJyHv6dV4zpV1tgnK8nPw02bjlxUs89WaNZ/x2UYXG4OAIDMjgIPAGlktxt6c+ZWRSck6aGwnOpWi1Xn4ZxaVw7Rwt51VK1QTl2JT1Tf38L12q9bdDnWZnY0AABwBxR4AEijn9cf1eoD5+VpddHo9ozOw7mF5vLWry8+ojcal5Cri0Xzwk+q2bgVWnfwvNnRAADAbVDgASANjp6P0ciFV1edf6tpKYUF+picCLh/bq4uevXR4prxcg0Vyu2tE5di1em7tRr9x27ZWOAOAIBMhwIPAHdhtxvqPyNcMQlJql44l56rEWZ2JCBDVS6YUwteq6OO1QrIMKQvlh1Qu69W6+DZK2ZHAwAAN6DAA8Bd/LDmsNYduiBvd1eNbl9RLozOIwvy9XDTR+0r6stnqijAy6qtxy+r+Wcr9ev6oyxwBwBAJkGBB4A7OHwuWh8u3i1JGvh4KRXM7W1yIsCxmpXPp8V96qhGkdyKtSXprVnb9PJPm3QxOsHsaAAAZHsUeAC4jeuj83E2u2oWza1nqhcyOxLwQOQL8NLPL1TXwMdLyepq0R87TqvpuOVaue+c2dEAAMjWKPAAcBuTVh/WhsMX5ePuqlHtKjA6j2zFxcWil+oV1eyetVQkj49OR8ar84R1+mD+TsUnJpkdDwCAbIkCDwC3cPDsFX10bXT+7ealFZqL0XlkT+VCArTg1Trq/EhBSdL3Kw+p9Rertfd0lMnJAADIfijwAHCTJLuhftPDFZ9oV+1igXr64YJmRwJM5eXuqg9al9f3z1VTLh937ToVqZafr9QPaw6zwB0AAA8QBR4AbjJx5SH9d/SSfD3cNKp9BVksjM4DktSoTJAW96mjuiXyKD7RrkFzd6j75A06GxVvdjQAALIFCjwA3GD/mSsavWSPJOm9FqUVksPL5ERA5pLXz1OTuz6kwS3LyN3NRcv2nNXj45Zr2e4zZkcDACDLo8ADwDWJSXa9MT1cCYl21SuRRx2rhZodCciUXFws6larsOb1qq1SwX46dyVB3SZv0KC52xVnY4E7AAAchQIPANd8t+KQwo9dkp+nmz5sV57ReeAuSgb7ac4rtdS9VmFJ0g9rjqjl5yu14+Rlk5MBAJA1UeABQNLe01H6dOleSdKgFmWUL4DReSAtPK2uGtSyjKZ0f1h5/Dy078wVtflitb5fcVB2OwvcAQCQkSjwALK9xCS7+k0PV0KSXQ1L5VX7qgXMjgQ4nXol8mhx7zpqVDpICUl2fbBgl56buF6nI+PMjgYAQJZBgQeQ7X2z/KC2Hr8sf083jWzL6Dxwr3L7eui756pqeJty8rS6aOX+c2oydrkWb48wOxoAAFkCBR5AtrY7IlJj/7w6Oj+kVVkF+XuanAhwbhaLRc9UL6T5r9ZRuRB/XYqx6eWfNumtmVsVHZ9odjwAAJwaBR5AtmVLsuuN38JlSzLUqHSQ2lQOMTsSkGUUy+urWf+rpZfrFZXFIv264ZhafL5S4ccumR0NAACnRYEHkG199c8B7TgZqRzeVo1oW47ReSCDubu56K3HS+nnF6orX4CnDp2LVruvVuuLZfuVxAJ3AACkGwUeQLa04+RlffbXPknS0FZlldeP0XnAUWoWDdTi3nXVvHw+JdoNjf5jj576bq1OXIo1OxoAAE6FAg8g20lItKvf9K1KtBtqUjZIrSrmNzsSkOUFeFs1/unKGtOhonzcXbX+0AU1Hbtcv4efNDsaAABOgwIPINsZv2y/dp2KVE5vqz5ozarzwINisVjUvmoBLexdR5VCcygqLlGvTd2svtO2KCrOZnY8AAAyPQo8gGxl+4nL+nLZfknS+63LKY+fh8mJgOynUG4fTX+5hl57tLhcLNKszSfU7LMV2nTkgtnRAADI1CjwALKN+MQk9ZserkS7oebl86lFBUbnAbNYXV3Ut3EJ/fZSDRXI6aVjF2LV4es1+mTpXiUm2c2OBwBApkSBB5BtfP7Xfu2OiFJuH3cNe6Ks2XEASKoWlksLe9dR28ohshvSZ3/tU4dv1ujI+WizowEAkOlQ4AFkC+HHLumrfw9Ikj5oXU65fRmdBzILf0+rPnmyksZ1qiQ/TzdtPnpJzcat0IxNx2UYXG4OAIDrKPAAsrw429XR+SS7oZYV8+vx8vnMjgTgFp6oFKJFvevo4bBcik64+v/bXlM363IMC9wBACBR4AFkA+P+2qd9Z64o0NdDw1oxOg9kZgVyemvqi4+of5OScnOxaMHWU2o6brnWHDhvdjQAAExHgQeQpW0+elHfXBudH9GmnHL6uJucCMDduLpY9EqDYpr5v5oqHOijU5fj9PT3a/Xhot1KSGSBOwBA9kWBB5BlXR+dtxtS60r59VjZYLMjAUiHiqE5NP/V2ur0UKgMQ/r63wNq+9UqHTh7xexoAACYggIPIMv6ZOleHTgbrTx+HhrC6DzglHw83PRhuwr6unMV5fC2avuJSDX/bIV+WXeUBe4AANkOBR5AlrTpyAV9t+KgJGlkm/LK4c3oPODMmpbLp8W966pWsdyKs9n19uxtevHHTboQnWB2NAAAHhgKPIAsJzYhSf2mb5VhSO2qFFCjMkFmRwKQAYIDPPVj9+p6p1lpubu6aOnO02oydrmW7z1rdjQAAB4ICjyALGfMkj06dC5aQf4eGtSyjNlxAGQgFxeLetQtotmv1FSxvL46GxWv5yau17B5OxVnSzI7HgAADkWBB5ClrD90QRNXHZIkfdi2ggK8rCYnAuAIZfMHaF6v2nquRiFJ0sRVh9T6i1XaExFlcjIAAByHAg8gy4hJSFT/GeEyDKljtQJqUCqv2ZEAOJCXu6uGPVFOE7pUU24fd+2OiFLL8Ss1edUhFrgDAGRJFHgAWcZHi/foyPkY5Qvw1LstGJ0HsotHSwdpcZ+6ql8yjxIS7Royb6e6TtqgM1FxZkcDACBDUeABZAlrD57X5NWHJUmj2lWQvyej80B2ksfPQ5O6PqShrcrKw81F/+49q8fHrtBfu06bHQ0AgAxDgQfg9KLjr47OS9JTD4eqbok8JicCYAaLxaIuNcM079XaKhXsp/PRCXp+yka9O2ebYhNY4A4A4Pwo8ACc3oeLduvYhViF5PDS281Kmx0HgMlKBPlpbq9aeqF2YUnST2uPqsXnK7T9xGWTkwEAcH8o8ACc2ur95/Tj2iOSro7O+zE6D0CSh5ur3m1RRj8+/7Dy+nnowNlotflylb5dfkB2OwvcAQCcEwUegNO6Ep+o/jO2SpI6P1JQtYsHmpwIQGZTp3geLe5TV4+VCZItydCIhbvVecI6RVxmgTsAgPOhwANwWiMW7tKJS7EqkNNLAx9ndB7AreXycdc3z1bVh23Ly8vqqtUHzqvJ2OVatO2U2dEAAEgXCjwAp7Ri31n9su6oJOmj9hXk4+FmciIAmZnFYlGnhwtqwWu1VT4kQJdjbfrfz/9pwIxwRccnmh0PAIA0ocADcDpRcTa9eW10vkuNQqpZlNF5AGlTJI+vZv6vpnrWLyqLRfpt43E1/2yFthy7ZHY0AADuigIPwOkMX7BLJy/HqWAub735eCmz4wBwMu5uLhrQtJSm9nhE+QM8dfh8jNp9tVqf/7VPSSxwBwDIxLJUgR8yZIgsFkuKP8HBwWbHApCB/tlzRr9uOCaLRRrToaK83RmdB3BvHimSW4t611WLCvmUZDf08dK96vTtGh2/GGN2NAAAbilLFXhJKlu2rE6dOpX8Z9u2bWZHApBBLsfa9NbMq/+f7lozTA8XzmVyIgDOLsDbqs+fqqxPOlaUr4ebNhy+qMfHrtDcLSfMjgYAQCpZrsC7ubkpODg4+U+ePHnMjgQgg7w/f6ciIuMUlttbA5owOg8gY1gsFrWtUkALX6ujKgVzKCo+Ub1/3aI+v25WZJzN7HgAACTLcrOn+/btU/78+eXh4aHq1atrxIgRKlKkyG33j4+PV3x8fPLXkZGRkiSbzSabLfP+R/t6tsycEchIy/ac1YxNx2WxSB+2KSs3i102m93sWFkaxxlkN/n8rfq5ezV99e8hffHvQc3ZclIbDl/QmPblVa1QTrPjZUkcZwA4kjMdY9Ka0WIYRpZZrWXRokWKiYlRiRIldPr0aX3wwQfavXu3duzYody5c9/yPkOGDNHQoUNTbf/ll1/k7e3t6MgA0iAmURq5xVWRNosa5LOrdRjFHYBjHYqSftznqvPxFllkqHGIoaYF7HLNcrOLAIDMICYmRk8//bQuX74sf3//2+6XpQr8zaKjo1W0aFENGDBAffv2veU+tzoDHxoaqnPnzt3xjTObzWbT0qVL1bhxY1mtVrPjAA7Vf8Y2zQk/pSKB3prbs4Y8ra5mR8oWOM4gu4uKS9T7C3dr9uaTkqQKBfz1SfsKKpSbf+DPKBxnADiSMx1jIiMjFRgYeNcCn+VG6G/k4+Oj8uXLa9++fbfdx8PDQx4eHqm2W63WTP9NlpwnJ3Cvlu48rTnhp+RikcZ0rCQ/b0+zI2U7HGeQXeWyWvXpk5XVsFSQ3pm9TVuPR6rVl2s0pFVZdahaQBaLxeyIWQbHGQCO5AzHmLTmy9KDYPHx8dq1a5fy5ctndhQA9+BidILenn111fkedYuoSkE+gwrgwWtZMb8W9amr6oVzKSYhSQNmbNUrv/ynSzEJZkcDAGQzWarA9+vXT//++68OHTqkdevWqX379oqMjFSXLl3MjgbgHgyZt0Nno+JVLK+vXm9Uwuw4ALKxkBxe+qXHIxrQtKTcXCxauC1CTceu0Or958yOBgDIRrJUgT9+/LieeuoplSxZUm3btpW7u7vWrl2rQoUKmR0NQDot3n5Kc7eclKuLRR93qMjn3gGYztXFop71i2l2z1oqEuijiMg4PTNhnUYu3KWERBbXBAA4Xpb6DPyvv/5qdgQAGeD8lXi9M3u7JOmlukVUMTSHuYEA4AblCwRo/mu19f78XZq6/qi+WX5QK/ef07hOlVUsr6/Z8QAAWViWOgMPIGsY9PsOnY9OUIkgX/VuVNzsOACQire7m0a2La9vnq2qnN5W7TgZqRafr9BPa48oC1/gBwBgMgo8gExlwdZTWrD11LXR+UrycGN0HkDm1aRssBb3qas6xQMVZ7Pr3Tnb1eOHjTp/Jf7udwYAIJ0o8AAyjXNX4vXe3Kuj86/UL6ryBQJMTgQAdxfk76kp3R7Wey3KyN3VRX/uOqMmY1fonz1nzI4GAMhiKPAAMgXDMPTenO26EJ2gUsF+6tWQ0XkAzsPFxaLnaxfW3F61VCLIV+euxKvrpA0a8vsOxdmSzI4HAMgiKPAAMoV5W09p0fYIublYNKZDRbm7cXgC4HxK5/PX771qq2vNMEnS5NWH9cT4VdodEWluMABAlsBvyABMdyYqToOujc73alhM5UIYnQfgvDytrhrSqqwmdXtIgb4e2nM6Sq3Gr9LElYdkt7PAHQDg3lHgAZjKMAy9M3u7LsXYVCafv15pUMzsSACQIRqUzKvFfero0VJ5lZBo17D5O9V18gadiYwzOxoAwElR4AGYau6Wk1q687SsrhZ93LGirK4clgBkHYG+Hvq+SzW937qcPNxctHzvWTUdt0JLdkSYHQ0A4IT4TRmAaU5Hxmnw7zskSa81LK7S+fxNTgQAGc9isejZRwppwWu1VSafvy5EJ+jFHzfp7dnbFJOQaHY8AIATocADMIVhGHp71jZdjrWpfEiAXq5f1OxIAOBQxfL6afYrNfVi3SKSpF/WHVWLz1dq+4nLJicDADgLCjwAU8z674T+2n1G7q4uGtOB0XkA2YOHm6veblZaP79QXUH+Hjp4Nlptvlylr/89oCQWuAMA3MV9/cYcHx+fUTkAZCMRl+M0ZN7V0fk+jYurZLCfyYkA4MGqVSxQi3vXVdOywbIlGfpw0W498/1anbwUa3Y0AEAmlq4C/8cff6hr164qWrSorFarvL295efnp3r16mn48OE6efKko3ICyCIMw9Bbs7YqKi5RFUNz6MU6RcyOBACmyOnjrq86V9FH7SrI291Vaw9eUNOxy7Vg6ymzowEAMqk0Ffg5c+aoZMmS6tKli1xcXNS/f3/NmjVLf/zxhyZMmKB69erpzz//VJEiRfTyyy/r7Nmzjs4NwElN33hc/+w5K3c3F41pX0FujM4DyMYsFos6PhSqBa/VUcUCAYqMS9Qrv/ynftPDdSWeBe4AACm5pWWnESNGaMyYMWrevLlcXFL/st2xY0dJ0okTJzRu3Dj98MMPeuONNzI2KQCnd/JSrN6fv1OS9EbjEioexOg8AEhS4UAfzfhfTY37c5++/Ge/Zmw6rvWHLmhsp0qqUjCn2fEAAJlEmgr8+vXr0/RgISEh+uijj+4rEICsyTAMvTlzq6LiE1W5YA69wOg8AKRgdXVRvyYlVbdEHr0+bYuOXohRh6/X6LWGxfVKg6JMLAEA0vcZ+MjISNnt9lTbk5KSFBkZmWGhAGQ9v244phX7zsnD7eqq864uFrMjAUCm9HDhXFrYu46eqJRfSXZDn/65V09+u1bHLsSYHQ0AYLI0F/jZs2erWrVqiouLS3VbfHy8HnroIc2bNy9DwwHIGo5fjNEH10bn+zcpqaJ5fE1OBACZW4CXVeM6VdbYJyvJz8NNm45c1OPjVmj25uMyDC43BwDZVZoL/FdffaUBAwbI29s71W3e3t568803NX78+AwNB8D5XR+dj05IUrVCOdWtVmGzIwGA02hdOUQLe9dRtUI5dSU+Ua9PC1fvX7focqzN7GgAABOkucBv375d9evXv+3tdevW1bZt2zIiE4As5Od1R7Vq/3l5Wl00mtF5AEi30Fze+vXFR9S3cQm5ulj0e/hJNRu3QusPXTA7GgDgAUtzgb948aISE29/ORObzaaLFy9mSCgAWcOxCzEasXCXJOnNpqVUONDH5EQA4JzcXF302qPFNePlGiqU21snLsWq07drNPqP3bIlpV6fCACQNaW5wIeFhWnjxo23vX3jxo0qVKhQhoQC4PzsdkP9Z4QrJiFJDxfOpS41wsyOBABOr3LBnFrwWh11qFpAdkP6YtkBtf9qtQ6dizY7GgDgAUhzgW/btq3eeecdnT59OtVtERERevfdd9WuXbsMDQfAef249ojWHrwgL6urRrevIBdG5wEgQ/h6uGl0h4r68pkqCvCyKvz4ZTX/bIWmbTjKAncAkMWl6TrwkvTWW29p7ty5Kl68uDp37qySJUvKYrFo165d+vnnnxUaGqq33nrLkVkBOIkj56P14aLdkqSBzUqpUG5G5wEgozUrn0+VC+ZQ32nhWnPwvN6cuU3Ldp/VyLblldPH3ex4AAAHSHOB9/Pz06pVqzRw4EBNmzYt+fPuOXPmVOfOnTVixAj5+fk5LCgA52C3G+o/fatibUmqUSS3OlfnozUA4Cj5Arz08wvV9d2KgxqzZI8W74jQ5mMX9UnHSqpVLNDseACADJbmEXpJCggI0Jdffqlz587p9OnTioiI0Llz5/Tll18qR44cDooIwJlMXn1Y6w9fkLe7qz5idB4AHM7FxaKX6hXV7J61VCSPj05HxuuZ79dp+IKdik9MMjseACADpavAX2exWJQnTx7lzZtXFgu/nAO46tC5aH30x9XR+beblVZoLm+TEwFA9lEuJEALXq2jZ6oXlCR9t+KQWn+xWvtOR5mcDACQUdJU4Js2barVq1ffdb+oqCiNGjVKX3zxxX0HA+BckuyG+k8PV5zNrtrFApN/gQQAPDhe7q4a3qa8vn+umnL5uGvXqUi1+HylflxzmAXuACALSNNn4Dt06KCOHTvKz89PrVq1UrVq1ZQ/f355enrq4sWL2rlzp1auXKmFCxeqRYsWGj16tKNzA8hkJq06pI1HLsrXw00ftivPdA4AmKhRmSAtDq2jftO3avnes3pv7g4t23NWH7WvoEBfD7PjAQDuUZoK/PPPP69nn31WM2bM0LRp0/Tdd9/p0qVLkq6O05cpU0ZNmjTRpk2bVLJkSUfmBZAJ7T9zRaP/2CNJerd5aRXIyeg8AJgtr5+nJnd9SFPWHNbIRbv19+4zajp2uUa3r6gGpfKaHQ8AcA/SvAq9u7u7nn76aT399NOSpMuXLys2Nla5c+eW1Wp1WEAAmVuS3VC/6eGKT7Srbok8evKhULMjAQCucXGxqFutwqpRNLd6T92iPaej1G3yBnWpUUgDm5WWp9XV7IgAgHS4p0XspKsr0gcHB1PegWzuuxUHteXYJfl5uOnDtozOA0BmVCrYX3N71VK3WmGSpClrjqjl5yu182SkucEAAOlyzwUeAPadjtInS/dKkt5rWUb5c3iZnAgAcDueVlcNbllWU7o/rDx+Htp35opaf7FK3684KLudBe4AwBlQ4AHck8Qku/pND1dCol0NSuZRh6oFzI4EAEiDeiXyaHHvOmpUOkgJSXZ9sGCXukxar9ORcWZHAwDcBQUewD35ZvlBhR+/LD9PN41sW4HReQBwIrl9PfTdc1U1vE05eVpdtGLfOTUdu1yLt0eYHQ0AcAcUeADpticiSmP/vDo6P6RlWQUHeJqcCACQXhaLRc9UL6T5r9ZR2fz+uhhj08s/bdLAWVsVk5BodjwAwC3cU4G/dOmSvv/+ew0cOFAXLlyQJP333386ceJEhoYDkPnYro3O25IMNSqdV22rhJgdCQBwH4rl9dXsnrX0Ur0islikqeuPqcVnK7X1+CWzowEAbpLuAr9161aVKFFCo0aN0pgxY5KvBz979mwNHDgwo/MByGS+/ueAtp24rAAvq0a0YdV5AMgK3N1cNPDx0vr5heoK9vfUwXPRavvlan2xbL+SWOAOADKNdBf4vn37qmvXrtq3b588Pf9/bPbxxx/X8uXLMzQcgMxl58lIffb3PknS0FZlldef0XkAyEpqFg3U4j511Lx8PiXaDY3+Y4+e+m6tTlyKNTsaAED3UOA3bNigl156KdX2kJAQRUSw8AmQVSUk/v/o/GNlgvREpfxmRwIAOEAOb3eNf7qyRrevIB93V60/dEFNxy7XvPCTZkcDgGwv3QXe09NTkZGRqbbv2bNHefLkyZBQADKfL5bt185TkcrpbdVwRucBIEuzWCzqUC1UC16ro0qhORQVl6hXp25W39+2KCrOZnY8AMi20l3gn3jiCQ0bNkw229WDt8Vi0dGjR/XWW2+pXbt2GR4QgPm2n7isL5btlyQNe6Kc8vh5mJwIAPAghAX6aPrLNfRaw2JysUiz/juhZp+t0KYjF82OBgDZUroL/JgxY3T27FnlzZtXsbGxqlevnooVKyY/Pz8NHz7cERkBmOj66Hyi3VCz8sFqUSGf2ZEAAA+Q1dVFfR8rqd9eqqECOb107EKsOn6zRp8u3avEJLvZ8QAgW3FL7x38/f21cuVK/f333/rvv/9kt9tVpUoVNWrUyBH5AJjs87/3aXdElHL5uGvYE+UYnQeAbKpaWC4t7F1Hg+fu0OzNJzTur31ase+sxj5ZWQVze5sdDwCyhXQV+MTERHl6emrLli1q2LChGjZs6KhcADKBrccv6ct/DkiS3n+inAJ9GZ0HgOzM39OqT5+spPol8+jdOdv139FLavbZCg1tVVZtq4Twj7wA4GDpGqF3c3NToUKFlJSU5Kg8ADKJ+MQk9ZseriS7oRYV8qk5o/MAgGueqBSiRb3r6OGwXLoSn6g3pofr1ambdTmGBe4AwJHS/Rn4d999VwMHDtSFCxcckQdAJjHuz33ae/qKAn2vjs4DAHCjAjm9NfXFR9S/SUm5uVg0f+spPT5uudYePG92NADIstL9GfjPPvtM+/fvV/78+VWoUCH5+PikuP2///7LsHAAzLHl2CV9/e/V0fkPWpdXLh93kxMBADIjVxeLXmlQTLWKBarPr5t1+HyMnvpurV6uV1SvNyohd7d0nysCANxBugt869atHRADQGYRZ0vSG79tkd2QnqiUX03LBZsdCQCQyVUKzaEFr9XRsHk7NW3jMX31zwGt3HdOYztVUtE8vmbHA4AsI90FfvDgwY7IASCT+PTPvTpwNlp5/Dw0pGVZs+MAAJyEj4ebRrWvoAal8uitWdu07cRltfhspQa1LKNOD4WywB0AZADmmgAk23Tkor5bflCSNKJNeeVkdB4AkE5Ny+XT4t51VatYbsXakjRw1ja99OMmXYhOMDsaADi9dBd4FxcXubq63vYPAOcUZ0tS/+nhshtS2yohalwmyOxIAAAnFRzgqR+7V9c7zUrL6mrRkp2n1XTscq3Yd9bsaADg1NI9Qj979uwUX9tsNm3evFlTpkzR0KFDMywYgAdrzB97dPBctIL8PTS4BaPzAID74+JiUY+6RVSzWG71/nWL9p+5omcnrNfztQurf5OS8rRy4gcA0ivdBf6JJ55Ita19+/YqW7aspk2bpueffz5DggF4cDYcvqAJqw5Jkka2La8Ab6vJiQAAWUXZ/AGa16u2RizcpR/XHtGElYe0av85ffZUZRXO5Wl2PCBNDMOQYUh2w5AhyTAkQ1e3Xf+73bi23/Xbr93H0LX7XdtPhq7uqxse07j+PDc+x9XHlG7xONf2k273/P9/nxuf4+bMNz6fUuyX+vlvzJzyOQzZ7Tds0+1e+9UwN+a8/vfUr/3G13eL57/p+2C/6TVdv0+S3a6Dh1yU5/BF1Sye17E/JA9Iugv87VSvXl09evTIqIcD8IDEJlwdnTcMqUPVAmpYitF5AEDG8nJ31futy6l+yTwaMGOrdkdEqeXnK9X/seKyx0oHzkbLzc011S/p6So29puKk27+5f6mYnFTudAtSsCNBenmYpNyv9sUm+tlRf9fUm58nJSvL+Xz26+9ACPVa0/9WtJSbJRcslI+v25RslK/vpRl8Mbnv+3ru6kY3vx9uOXru9PzX3ucmwu03X7T+3fLgnljrlv/nNz6Of7/djgzF9WLiKLA3yg2Nlaff/65ChQokBEPB+AB+uiP3Tp8Pkb5Ajz1bosyZscBAGRhj5YO0uI+ddV/Rrj+2XNWHyzcI8lNI7asMjsa8EC4WCSLxSKLJMtNf3dJ/vtNt6e4TZIs1x5HsiT//epVHpL3tUgWXf27rv3dYrm2ryypnvvG51Dyfv+/T8rHufE5Uj+Wy21en0UWubhc/V/dvF+K50j5+m58H67vZ7kx3w373fj+yiLJbujAwQMql9//wXyDH4B0F/icOXOmuAyIYRiKioqSt7e3fvrppwwNB8Cx1h48r0mrDkuSPmxXQQFejM4DABwrj5+HJnV9SD+sOaKv/tmvy9Fx8nB3v+mX/bv8sn5Tcbn+y7rLTSVC+v/brxeH1KXiVmXkxkJg0fVffW/O4nLtiZOLw433v6mMudy87RZl6OZilvJ13KIY3VxcdIv36sbHvPZYNxe866/v/wveDa/vrsUs9fub8jn+//l143t64/fptgUz5WtycbnD89/q+3SL57+5QKd6f+/0c6AbtrmkLrh3+jnhMormsNlsWrhwnyoXzGF2lAyT7gL/6aefpvgBdHFxUZ48eVS9enXlzJkzQ8MBcJyYhEQNmLFVktTpoVDVK5HH5EQAgOzCYrGoS80wPf1QiBYuXKhmzRrIauUfkQHgbtJd4Bs2bKjQ0NBb/ivS0aNHVbBgwQwJBsCxRi3araMXYpQ/wFPvNC9tdhwAAAAAd5Hu68AXLlxYZ8+mvobn+fPnVbhw4QwJBcCxVh84pylrjkiSPmpfUX6enPUAAAAAMrt0F3jjNsswXrlyRZ6eXAoEyOyuxP//6PzT1QuqdvFAkxMBAAAASIs0j9D37dtX0tXPLA0aNEje3t7JtyUlJWndunWqVKlShgcEkLFGLtyl4xdjFZLDS283Y3QeAAAAcBZpLvCbN2+WdPUM/LZt2+Tu7p58m7u7uypWrKh+/fplfEIAGWblvnP6ed1RSdLo9hXk65EhV5IEAAAA8ACk+bf3ZcuWSZK6deumcePGyd8/61xLD8gOouJsenPm1dH552oUUs1ijM4DAAAAziTdp98mTZrkiBwAHGzEwl06cSlWBXN5682mpcyOAwAAACCd7ml+dsOGDZo+fbqOHj2qhISEFLfNmjUrQ4IByDj/7j2rqeuPSZI+al9BPozOAwAAAE4n3avQ//rrr6pVq5Z27typ2bNny2azaefOnfr7778VEBDgiIwA7kNknE1vXRud71ozTI8UyW1yIgAAAAD3It0FfsSIEfr00081f/58ubu7a9y4cdq1a5c6duyoggULOiIjgPvwwfydOnU5TmG5vTWgaUmz4wAAAAC4R+ku8AcOHFDz5s0lSR4eHoqOjpbFYtHrr7+ub7/9NsMDArh3y3af0W8bj8tikUZ3qChvd0bnAQAAAGeV7gKfK1cuRUVFSZJCQkK0fft2SdKlS5cUExOTsekA3LPLMTa9Nevq6Hz3WoX1UFgukxMBAAAAuB/pPh1Xp04dLV26VOXLl1fHjh3Vu3dv/f3331q6dKkeffRRR2QEcA+Gzt+h05HxKhLoo36PMToPAAAAOLt0F/jx48crLi5OkjRw4EBZrVatXLlSbdu21XvvvZfhAQGk3587T2vWfyfkcm103svd1exIAAAAAO5Tugp8YmKi5s2bpyZNmkiSXFxcNGDAAA0YMMAh4QCk36WYBA2cvU2S1KNOEVUtlNPkRAAAAAAyQro+A+/m5qb//e9/io+Pd1QeAPdpyO87dDYqXkXz+Oj1xiXMjgMAAAAgg6R7Ebvq1atr8+bNjsgC4D4t3h6hOVtOysUifdyxkjytjM4DAAAAWUW6PwPfs2dPvfHGGzp+/LiqVq0qHx+fFLdXqFAhw8IBSLsL0Ql6d87V0fmX6hVVpdAc5gYCAAAAkKHSXeCffPJJSdJrr72WvM1iscgwDFksFiUlJWVcOgBpNvj3HTp3JUElgnzVp1Fxs+MAAAAAyGDpLvCHDh1yRA4A92HhtlOaF35Sri4WjelQUR5ujM4DAAAAWU26C3yhQoUckQPAPTp3JV7vztkuSfpfvaKqUCCHuYEAAAAAOES6F7GTpB9//FG1atVS/vz5deTIEUnS2LFjNXfu3AwNB+DuBs3drgvRCSoV7KdXHy1mdhwAAAAADpLuAv/VV1+pb9++atasmS5dupT8mfccOXJo7NixGZ0PwB3M33pSC7dFyI3ReQAAACDLS3eB//zzz/Xdd9/pnXfekavr/5eFatWqadu2bRkaDsDtnY2K13vXRudfaVBM5UICTE4EAAAAwJHSXeAPHTqkypUrp9ru4eGh6OjoDAkF4M4Mw9C7c7bpYoxNZfL565UGjM4DAAAAWV26C3zhwoW1ZcuWVNsXLVqkMmXKZEQmAHfxe/hJ/bHjdPLovLvbPS1nAQAAAMCJpHsV+v79++uVV15RXFycDMPQ+vXrNXXqVI0cOVLff/+9IzICuMGZyDgNmrtDkvTao8VVJr+/yYkAAAAAPAjpLvDdunVTYmKiBgwYoJiYGD399NMKCQnRuHHj1KlTJ0dkBHCNYRh6e/Y2XY61qVyIv/5Xv6jZkQAAAAA8IOku8JLUo0cP9ejRQ+fOnZPdblfevHkzOheAW5i9+YT+3HVGVleLPu5QSVZXRucBAACA7OKef/s/c+aMdu3apb179+rs2bMZmem+ffnllypcuLA8PT1VtWpVrVixwuxIwH2LuBynIb9fHZ3v06iESgb7mZwIAAAAwIOU7gIfGRmpZ599Vvnz51e9evVUt25d5c+fX507d9bly5cdkTFdpk2bpj59+uidd97R5s2bVadOHT3++OM6evSo2dGAe2YYhgbO2qrIuERVKBCgl+oWMTsSAAAAgAcs3QX+hRde0Lp167RgwQJdunRJly9f1vz587Vx40b16NHDERnT5ZNPPtHzzz+vF154QaVLl9bYsWMVGhqqr776yuxowD2bsem4lu05K3dXF33coaLcGJ0HAAAAsp10fwZ+wYIF+uOPP1S7du3kbU2aNNF3332npk2bZmi49EpISNCmTZv01ltvpdj+2GOPafXq1be8T3x8vOLj45O/joyMlCTZbDbZbDbHhb1P17Nl5ozIGKcux2novJ2SpN6PFlVYLk++73ggOM4AcDSOMwAcyZmOMWnNmO4Cnzt3bgUEBKTaHhAQoJw5c6b34TLUuXPnlJSUpKCgoBTbg4KCFBERccv7jBw5UkOHDk21fcmSJfL29nZIzoy0dOlSsyPAgQxD+nqXi67Eu6iQr6H8kbu0cOEus2Mhm+E4A8DROM4AcCRnOMbExMSkab90F/h3331Xffv21Q8//KB8+fJJkiIiItS/f3+999576X04h7BYLCm+Ngwj1bbrBg4cqL59+yZ/HRkZqdDQUD322GPy98+819e22WxaunSpGjduLKvVanYcOMhvG49r99qdcndz0Tfda6hoHh+zIyEb4TgDwNE4zgBwJGc6xlyfBL+bdBf4r776Svv371ehQoVUsGBBSdLRo0fl4eGhs2fP6ptvvkne97///kvvw9+XwMBAubq6pjrbfubMmVRn5a/z8PCQh4dHqu1WqzXTf5Ml58mJ9DtxKVYjF++VJPV/rKRK5c9hbiBkWxxnADgaxxkAjuQMx5i05kt3gW/dunV67/LAuLu7q2rVqlq6dKnatGmTvH3p0qV64oknTEwGpI9hGHpzxlZdiU9U1UI51b12YbMjAQAAADBZugv84MGDHZEjw/Tt21fPPvusqlWrpho1aujbb7/V0aNH9fLLL5sdDUizX9Yf1cr95+RpddHo9hXk6nLrj4AAAAAAyD7SXeBvdOXKFdnt9hTbzP7c+JNPPqnz589r2LBhOnXqlMqVK6eFCxeqUKFCpuYC0urYhRgNX3B1obr+TUqpSB5fkxMBAAAAyAzSXeAPHTqkXr166Z9//lFcXFzy9usLxSUlJWVowHvRs2dP9ezZ0+wYQLrZ7YYGzNiqmIQkPRyWS91qhpkdCQAAAEAmke4C/8wzz0iSJk6cqKCgoNuu7g4g/X5ed0RrDp6Xl9VVH7WvIBdG5wEAAABck+4Cv3XrVm3atEklS5Z0RB4g2zp6PkYjFu6WJL31eCmFBXLJOAAAAAD/zyW9d3jooYd07NgxR2QBsi273VC/GeGKtSXpkSK59OwjrNkAAAAAIKV0n4H//vvv9fLLL+vEiRMqV65cquvVVahQIcPCAdnFlDWHtf7QBXm7u+qjdhUZnQcAAACQSroL/NmzZ3XgwAF169YteZvFYslUi9gBzuTwuWiNWnx1dH5gs9IqmNvb5EQAAAAAMqN0F/ju3burcuXKmjp1KovYAfcpyW6o3/RwxdnsqlUst555uKDZkQAAAABkUuku8EeOHNHvv/+uYsWKOSIPkK1MWnVIG49clI+7q0a1Y9V5AAAAALeX7kXsGjZsqPDwcEdkAbKVA2evaPQfeyRJ7zQvowI5GZ0HAAAAcHvpPgPfsmVLvf7669q2bZvKly+fahG7Vq1aZVg4IKtKshvqPz1c8Yl21SkeqKceDjU7EgAAAIBMLt0F/uWXX5YkDRs2LNVtLGIHpM2ElQf139FL8vNw06h2FVhLAgAAAMBdpbvA2+12R+QAso39Z6I0ZsleSdJ7Lcoofw4vkxMBAAAAcAbp/gz8jeLi4jIqB5AtJCbZ9cb0rUpItKt+yTzqUK2A2ZEAAAAAOIl0F/ikpCS9//77CgkJka+vrw4ePChJeu+99zRhwoQMDwhkJd+uOKjwY5fk5+mmkW3LMzoPAAAAIM3SXeCHDx+uyZMn66OPPpK7u3vy9vLly+v777/P0HBAVrL3dJTGLt0nSRrcsqzyBTA6DwAAACDt0l3gf/jhB3377bd65pln5Orqmry9QoUK2r17d4aGA7IKW5Jdb/wWroQkux4tlVftqoSYHQkAAACAk0l3gT9x4oSKFSuWarvdbpfNZsuQUEBW882/B7TtxGUFeFk1gtF5AAAAAPcg3QW+bNmyWrFiRart06dPV+XKlTMkFJCV7DoVqXF/XR2dH9KqjIL8PU1OBAAAAMAZpfkyct27d9e4ceM0ePBgPfvsszpx4oTsdrtmzZqlPXv26IcfftD8+fMdmRVwOrYku/pND5ctyVDjMkFqXYnReQAAAAD3Js1n4KdMmaLY2Fi1bNlS06ZN08KFC2WxWDRo0CDt2rVL8+bNU+PGjR2ZFXA6Xy47oB0nI5XD26rhbcoxOg8AAADgnqX5DLxhGMl/b9KkiZo0aeKQQEBWsePkZX3+99XR+WFPlFNeP0bnAQAAANy7dH0GnrOHQNokJF5ddT7Rbqhp2WC1rJDP7EgAAAAAnFyaz8BLUokSJe5a4i9cuHBfgYCsYPzf+7Q7Ikq5fNz1AaPzAAAAADJAugr80KFDFRAQ4KgsQJaw/cRlffHPAUnS+0+UU6Cvh8mJAAAAAGQF6SrwnTp1Ut68eR2VBXB68YlJeuO3cCXZDTWvkE/NGZ0HAAAAkEHS/Bl4RoCBu/vsr33aczpKuX3cNaxVWbPjAAAAAMhC0lzgb1yFHkBq4ccu6atro/MftC6n3IzOAwAAAMhAaR6ht9vtjswBOLU4W5LemB4uuyG1qphfj5dndB4AAABAxkrXZeQA3NrYP/dp/5krCvT10FBG5wEAAAA4AAUeuE//Hb2ob5dfHZ0f0aaccvq4m5wIAAAAQFZEgQfuQ5wtSf2ujc63qRyix8oGmx0JAAAAQBZFgQfuw8dL9ujg2Wjl9fPQ4JZlzI4DAAAAIAujwAP3aNORC/p+5SFJ0si25ZXDm9F5AAAAAI5DgQfuQWxCkvpN3yrDkNpXLaBHSweZHQkAAABAFkeBB+7B6D/26NC5aAX7e+q9FozOAwAAAHA8CjyQTusPXdCk1ddG59uVV4CX1eREAAAAALIDCjyQDjEJieo/I1yGIT1ZLVQNSuY1OxIAAACAbIICD6TDR4v36Mj5GOUP8NQ7LUqbHQcAAABANkKBB9JozYHzmrz6sCRpVPsK8vdkdB4AAADAg0OBB9IgOv7q6LwkPfVwQdUpnsfkRAAAAACyGwo8kAYjF+3S8YuxCsnhpXeaMzoPAAAA4MGjwAN3sWr/Of209qgk6aP2FeTr4WZyIgAAAADZEQUeuIOoOJsGzNgqSXr2kUKqVSzQ5EQAAAAAsisKPHAHIxbu1olLsQrN5aW3Hi9ldhwAAAAA2RgFHriN5XvPaur6a6Pz7SrKh9F5AAAAACaiwAO3EBln01szr47Od60ZphpFc5ucCAAAAEB2R4EHbmH4/F06eTlOhXJ7a0DTkmbHAQAAAAAKPHCzZXvOaNrGY7JYpNHtK8rbndF5AAAAAOajwAM3uBzz/6Pz3WoW1sOFc5mcCAAAAACuosADNxg2f6dOR8arcKCP+jdhdB4AAABA5kGBB675a9dpzfzvuCwWaUyHCvJydzU7EgAAAAAko8ADki7FJGjgrG2SpB51iqhqIUbnAQAAAGQuFHhA0tB5O3UmKl5F8viob+MSZscBAAAAgFQo8Mj2luyI0OzNJ+RikcZ0qChPK6PzAAAAADIfCjyytYvRCXp79nZJ0ot1i6pKwZwmJwIAAACAW6PAI1sb/PsOnbsSr+J5fdWnUXGz4wAAAADAbVHgkW0t2nZKv4eflKuLhdF5AAAAAJkeBR7Z0vkr8Xp3ztXR+ZfrFVHF0BzmBgIAAACAu6DAI1saNHeHzkcnqGSQn157lNF5AAAAAJkfBR7ZzvytJ7Vg2ym5ulj0cceK8nBjdB4AAABA5keBR7ZyNipe710bnX+lQTGVCwkwOREAAAAApA0FHtmGYRh6d842XYyxqXQ+f/VqUMzsSAAAAACQZhR4ZBu/h5/UHztOy83FojEdKsjdjR9/AAAAAM6DBoNs4UxUnAb/vkOS9GrD4iqbn9F5AAAAAM6FAo8szzAMvTN7uy7F2FQ2v796NihqdiQAAAAASDcKPLK8OVtOaOnO07K6Xl113urKjz0AAAAA50OTQZZ2OjJOg+deHZ3v/WhxlQr2NzkRAAAAANwbCjyyLMMw9PasbYqMS1T5kAC9XI/ReQAAAADOiwKPLGvmfyf01+4zcnd10ccdK8qN0XkAAAAAToxGgyzp1OVYDZ13dXT+9cYlVCLIz+REAAAAAHB/KPDIcgzD0FsztykqLlEVQ3OoR53CZkcCAAAAgPtGgUeW89vGY/p371m5u7no4w4VGJ0HAAAAkCXQbJClnLgUqw/m75Ik9XushIrlZXQeAAAAQNZAgUeWcXV0fqui4hNVpWAOPV+7iNmRAAAAACDDUOCRZUxdf0wr9p2Th5uLxnSoKFcXi9mRAAAAACDDUOCRJRy7EKPhC3ZKkvo3KakieXxNTgQAAAAAGYsCD6dntxt6c+ZWRSck6aGwnOpWi1XnAQAAAGQ9FHg4vZ/XH9XqA+flaXXR6PaMzgMAAADImijwcGpHz8do5MKrq86/2bSUwgJ9TE4EAAAAAI5BgYfTstsN9Z8RrpiEJD1cOJe61AgzOxIAAAAAOAwFHk7rhzWHte7QBXm7u2pM+4pyYXQeAAAAQBZGgYdTOnwuWqMW75EkDXy8lArm9jY5EQAAAAA4FgUeTuf66HysLUk1i+bWM9ULmR0JAAAAAByOAg+nM2n1YW04fFE+7q4a1a4Co/MAAAAAsgUKPJzKwbNX9NHi3ZKkt5uXVmguRucBAAAAZA8UeDiNJLuh/jO2Kj7RrtrFAvX0wwXNjgQAAAAADwwFHk5j4spD2nTkonw93DSqfQVZLIzOAwAAAMg+KPBwCvvPXNHoJVdXnX+3eWmF5PAyOREAAAAAPFgUeGR6iUl2vTE9XAmJdtUtkUdPPhRqdiQAAAAAeOCyVIEPCwuTxWJJ8eett94yOxbu03crDin82CX5ebppVLvyjM4DAAAAyJbczA6Q0YYNG6YePXokf+3r62tiGtyvfaej9OnSvZKkQS3KKF8Ao/MAAAAAsqcsV+D9/PwUHBxsdgxkgOTR+SS7GpbKq/ZVC5gdCQAAAABMk+UK/KhRo/T+++8rNDRUHTp0UP/+/eXu7n7b/ePj4xUfH5/8dWRkpCTJZrPJZrM5PO+9up4tM2e8X1/9e1Bbj1+Wv6ebhrUspcTERLMjAdlKdjjOADAXxxkAjuRMx5i0ZrQYhmE4OMsD8+mnn6pKlSrKmTOn1q9fr4EDB+qJJ57Q999/f9v7DBkyREOHDk21/ZdffpG3t7cj4+IOTkZLY7a5KsmwqHOxJD2UJ8v8mAIAAABACjExMXr66ad1+fJl+fv733a/TF/gb1ewb7RhwwZVq1Yt1faZM2eqffv2OnfunHLnzn3L+97qDHxoaKjOnTt3xzfObDabTUuXLlXjxo1ltVrNjpOhbEl2dfh2nXacjNKjpfLoq6crsXAdYIKsfJwBkDlwnAHgSM50jImMjFRgYOBdC3ymH6Hv1auXOnXqdMd9wsLCbrn9kUcekSTt37//tgXew8NDHh4eqbZbrdZM/02WnCdneny1fJ92nIxSDm+rRrarcMePQABwvKx4nAGQuXCcAeBIznCMSWu+TF/gAwMDFRgYeE/33bx5syQpX758GRkJDrTj5GV99tc+SdLQVmWV18/T5EQAAAAAkDlk+gKfVmvWrNHatWvVoEEDBQQEaMOGDXr99dfVqlUrFSxY0Ox4SIOERLv6Td+qRLuhJmWD1KpifrMjAQAAAECmkWUKvIeHh6ZNm6ahQ4cqPj5ehQoVUo8ePTRgwACzoyGNvli2X7tORSqnt1UftC7P594BAAAA4AZZpsBXqVJFa9euNTsG7tH2E5f1xbL9kqT3W5dTHr/U6xIAAAAAQHbmYnYAID4xSf2mhyvRbqh5+XxqUYHReQAAAAC4GQUepvv8r/3aHRGl3D7uGvZEWbPjAAAAAECmRIGHqbYev6Sv/j0gSfqgdTnl9mV0HgAAAABuhQIP08QnJumN38KVZDfUsmJ+PV6ey/0BAAAAwO1Q4GGasX/u074zVxTo66FhrRidBwAAAIA7ocDDFJuPXtQ310bnh7cpp5w+7iYnAgAAAIDMjQKPBy7OdnXVebshta6UX03KBpsdCQAAAAAyPQo8HrhPl+7VgbPRyuPnoSGMzgMAAABAmlDg8UBtOnJB3644KEka2aa8cngzOg8AAAAAaUGBxwMTm5CkftO3yjCktlVC1KhMkNmRAAAAAMBpUODxwIxZskeHzkUryN9Dg1swOg8AAAAA6UGBxwOx/tAFTVx1SJL0YdsKCvC2mpwIAAAAAJwLBR4OF5OQqAEzwmUYUsdqBdSgVF6zIwEAAACA06HAw+E+WrxHh8/HKF+Ap95tUcbsOAAAAADglCjwcKi1B89r8urDkqQP21WQvyej8wAAAABwLyjwcJjo+ET1nxEuSXrq4VDVK5HH5EQAAAAA4Lwo8HCYUYt369iFWIXk8NLbzUqbHQcAAAAAnBoFHg6xev85/bDmiCRpVLsK8mN0HgAAAADuCwUeGe5KfKL6z9gqSXqmekHVLh5ociIAAAAAcH4UeGS4EQt36cSlWBXI6aWBjM4DAAAAQIagwCNDrdh3Vr+sOypJ+qh9Bfl6uJmcCAAAAACyBgo8MkxUnE1vXhud71KjkGoWZXQeAAAAADIKBR4ZZviCXTp5OU4Fc3nrzcdLmR0HAAAAALIUCjwyxD97zujXDcckSaPbV5C3O6PzAAAAAJCRKPC4b5djbXpr5jZJUrdaYapeJLfJiQAAAAAg66HA4759MH+nIiLjFJbbWwOaMDoPAAAAAI5Agcd9+Xv3aU3fdFwWizSmQ0V5ubuaHQkAAAAAsiQKPO7Z5Zj/H51/vlZhVQvLZXIiAAAAAMi6KPC4Z0Pn7dCZqHgVCfRRvyYlzY4DAAAAAFkaBR73ZOnO05q1+YRcLNKYjhXlaWV0HgAAAAAciQKPdLsYnaC3Z18dne9Rt4iqFMxpciIAAAAAyPoo8Ei3IfN26GxUvIrl9dXrjUqYHQcAAAAAsgUKPNJl8fZTmrvl5NXR+Q6MzgMAAADAg0KBR5pdiE7Qu3O2S5JerldUlUJzmBsIAAAAALIRCjzSbNDc7Tp3JUElgnzVu1Fxs+MAAAAAQLZCgUeaLNh6SvO3npKri0Ufd6gkDzdG5wEAAADgQaLA467OXYnXe3Ovjs73rF9U5QsEmJwIAAAAALIfCjzuyDAMvTdnuy5EJ6hUsJ9ebcjoPAAAAACYgQKPO5q/9ZQWbY+Qm4tFYzpUlLsbPzIAAAAAYAbaGG7rTFRc8uh8r4bFVC6E0XkAAAAAMAsFHrdkGIbemb1dl2JsKpPPX680KGZ2JAAAAADI1ijwuKW5W05q6c7TsrpeHZ23uvKjAgAAAABmopUhlTORcRr8+w5J0msNi6tMfn+TEwEAAAAAKPBIwTAMvT17my7H2lQ+JEAv1y9qdiQAAAAAgCjwuMms/07oz11n5O7qwug8AAAAAGQitDMki7gcpyHzro7O925UXCWD/UxOBAAAAAC4jgIPSVdH59+atVVRcYmqWCBAL9UtYnYkAAAAAMANKPCQJE3fdFz/7Dkrd7ero/NujM4DAAAAQKZCS4NOXorV+/N2SpLeaFxCxYMYnQcAAACAzIYCn80ZhqE3Z25VVHyiKhfMoRfqMDoPAAAAAJkRBT6b+3XDMa3Yd04e10bnXV0sZkcCAAAAANwCBT4bO34xRsMX7JIk9W9SUkXz+JqcCAAAAABwOxT4bOr66PyV+ERVK5RT3WoVNjsSAAAAAOAOKPDZ1M/rjmrV/vPytLpoNKPzAAAAAJDpUeCzoWMXYjRi4dXR+QFNSqlwoI/JiQAAAAAAd0OBz2bsdkP9Z4QrJiFJD4flUteaYWZHAgAAAACkAQU+m/lp3RGtPXhBXlZXje5QQS6MzgMAAACAU6DAZyNHzkdr5MLdkqSBzUqpUG5G5wEAAADAWVDgswm73VD/6VsVa0vSI0VyqXP1QmZHAgAAAACkAwU+m5i8+rDWH74gb3dXjW5fkdF5AAAAAHAyFPhs4NC5aH30x9XR+beblVZoLm+TEwEAAAAA0osCn8Ul2Q31nx6uOJtdtYsF6pnqBc2OBAAAAAC4BxT4LG7SqkPaeOSifD3c9GG78rJYGJ0HAAAAAGdEgc/C9p+5otF/7JEkvdO8tArkZHQeAAAAAJwVBT6LSrIb6j8jXPGJdtUpHqhOD4WaHQkAAAAAcB8o8FnU9ysOavPRS/LzcNOodhUYnQcAAAAAJ0eBz4L2nY7Sx0v3SpLea1lG+XN4mZwIAAAAAHC/KPBZTGKSXf2mhysh0a4GJfOoQ9UCZkcCAAAAAGQACnwW883ygwo/fll+nm4a2ZbReQAAAADIKijwWcieiCiN+3OfJGlIy7IKDvA0OREAAAAAIKNQ4LMI2/XR+SS7GpXOq7ZVQsyOBAAAAADIQBT4LOLrfw5o24nLCvCyakSb8ozOAwAAAEAWQ4HPAnaejNRnf18dnR/aqqzy+jM6DwAAAABZDQXeyV0fnbclGXqsTJCeqJTf7EgAAAAAAAegwDu5r/89pJ2nIpXT26rhjM4DAAAAQJblZnYA3Lvj0dKX6w5KkoY9UU55/DxMTgQAAAAAcBTOwDuphES7ftrvqkS7ocfLBatFhXxmRwIAAAAAOBAF3kl98c9BnYqxKKe3Ve+3LsfoPAAAAABkcRR4J7Tt+GV9s+KQJGloy9IK9GV0HgAAAACyOj4D74SC/D1Ur3igLp47rcfLBZsdBwAAAADwAHAG3gnl9ffU189U0jPF7GZHAQAAAAA8IBR4J2WxWGTluwcAAAAA2QYVEAAAAAAAJ0CBBwAAAADACVDgAQAAAABwAhR4AAAAAACcAAUeAAAAAAAnQIEHAAAAAMAJOE2BHz58uGrWrClvb2/lyJHjlvscPXpULVu2lI+PjwIDA/Xaa68pISHhwQYFAAAAAMAB3MwOkFYJCQnq0KGDatSooQkTJqS6PSkpSc2bN1eePHm0cuVKnT9/Xl26dJFhGPr8889NSAwAAAAAQMZxmgI/dOhQSdLkyZNvefuSJUu0c+dOHTt2TPnz55ckffzxx+ratauGDx8uf3//BxUVAAAAAIAM5zQF/m7WrFmjcuXKJZd3SWrSpIni4+O1adMmNWjQ4Jb3i4+PV3x8fPLXkZGRkiSbzSabzebY0PfherbMnBGAc+M4A8DROM4AcCRnOsakNWOWKfAREREKCgpKsS1nzpxyd3dXRETEbe83cuTI5LP7N1qyZIm8vb0zPGdGW7p0qdkRAGRxHGcAOBrHGQCO5AzHmJiYmDTtZ2qBHzJkyC3L8402bNigatWqpenxLBZLqm2GYdxy+3UDBw5U3759k7+OjIxUaGioHnvssUw9dm+z2bR06VI1btxYVqvV7DgAsiCOMwAcjeMMAEdypmPM9UnwuzG1wPfq1UudOnW64z5hYWFpeqzg4GCtW7cuxbaLFy/KZrOlOjN/Iw8PD3l4eKTabrVaM/03WXKenACcF8cZAI7GcQaAIznDMSat+Uwt8IGBgQoMDMyQx6pRo4aGDx+uU6dOKV++fJKujsF7eHioatWqGfIcAAAAAACYxWk+A3/06FFduHBBR48eVVJSkrZs2SJJKlasmHx9ffXYY4+pTJkyevbZZzV69GhduHBB/fr1U48ePTL1KDwAAAAAAGnhNAV+0KBBmjJlSvLXlStXliQtW7ZM9evXl6urqxYsWKCePXuqVq1a8vLy0tNPP60xY8aYFRkAAAAAgAzjNAV+8uTJt70G/HUFCxbU/PnzH0wgAAAAAAAeIKcp8A+KYRiS0r4KoFlsNptiYmIUGRmZ6RdkAOCcOM4AcDSOMwAcyZmOMdf75/U+ejsU+JtERUVJkkJDQ01OAgAAAADITqKiohQQEHDb2y3G3Sp+NmO323Xy5En5+fnd8frxZrt+vfpjx46xSB8Ah+A4A8DROM4AcCRnOsYYhqGoqCjlz59fLi4ut92PM/A3cXFxUYECBcyOkWb+/v6Z/ocRgHPjOAPA0TjOAHAkZznG3OnM+3W3r/YAAAAAACDToMADAAAAAOAEKPBOysPDQ4MHD5aHh4fZUQBkURxnADgaxxkAjpQVjzEsYgcAAAAAgBPgDDwAAAAAAE6AAg8AAAAAgBOgwAMAAAAA4AQo8AAAAAAAOAEKfCbUtWtXWSwWWSwWWa1WBQUFqXHjxpo4caLsdnvyfmFhYRo7dmyKr6/f7/qfAgUKmPAKADiLrl27qnXr1qn+fqMRI0bI1dVVH3744YMNB8ApXP+95eWXX051W8+ePWWxWNS1a9cU21evXi1XV1c1bdo01X0OHz4si8UiNzc3nThxIsVtp06dkpubmywWiw4fPpyRLwOAEzhz5oxeeuklFSxYUB4eHgoODlaTJk20Zs2a5H1Wr16tZs2aKWfOnPL09FT58uX18ccfKykpKcVjWSwWeXp66siRIym2t27dOtUxKzOhwGdSTZs21alTp3T48GEtWrRIDRo0UO/evdWiRQslJibe9n7Dhg3TqVOnkv9s3rz5AaYGkBVNmjRJAwYM0MSJE82OAiCTCg0N1a+//qrY2NjkbXFxcZo6daoKFiyYav+JEyfq1Vdf1cqVK3X06NFbPmb+/Pn1ww8/pNg2ZcoUhYSEZGx4AE6jXbt2Cg8P15QpU7R37179/vvvql+/vi5cuCBJmj17turVq6cCBQpo2bJl2r17t3r37q3hw4erU6dOuvkCbBaLRYMGDTLjpdwzCnwmdf1flEJCQlSlShW9/fbbmjt3rhYtWqTJkyff9n5+fn4KDg5O/pMnT54HFxpAlvPvv/8qNjZWw4YNU3R0tJYvX252JACZUJUqVVSwYEHNmjUredusWbMUGhqqypUrp9g3Ojpav/32m/73v/+pRYsWt/29pkuXLpo0aVKKbZMnT1aXLl0yPD+AzO/SpUtauXKlRo0apQYNGqhQoUJ6+OGHNXDgQDVv3lzR0dHq0aOHWrVqpW+//VaVKlVSWFiYXnjhBU2ZMkUzZszQb7/9luIxX331Vf3000/atm2bSa8q/SjwTqRhw4aqWLFiiv84AoAjTZgwQU899ZSsVqueeuopTZgwwexIADKpbt26pSjcEydOVPfu3VPtN23aNJUsWVIlS5ZU586dNWnSpFRnxSSpVatWunjxolauXClJWrlypS5cuKCWLVs67kUAyLR8fX3l6+urOXPmKD4+PtXtS5Ys0fnz59WvX79Ut7Vs2VIlSpTQ1KlTU2yvWbOmWrRooYEDBzosd0ajwDuZUqVK3fEzX2+++WbyD7evr68+++yzBxcOQJYSGRmpmTNnqnPnzpKkzp07a8aMGYqMjDQ5GYDM6Nlnn9XKlSt1+PBhHTlyRKtWrUo+ftxowoQJydubNm2qK1eu6K+//kq1n9VqVefOnZM/vjNx4kR17txZVqvVsS8EQKbk5uamyZMna8qUKcqRI4dq1aqlt99+W1u3bpUk7d27V5JUunTpW96/VKlSyfvcaOTIkVq8eLFWrFjhuPAZiALvZAzDkMViue3t/fv315YtW5L/PPfccw8wHYCs5JdfflGRIkVUsWJFSVKlSpVUpEgR/frrryYnA5AZBQYGqnnz5poyZYomTZqk5s2bKzAwMMU+e/bs0fr169WpUydJV38hf/LJJ2+7xsbzzz+v6dOnKyIiQtOnT7/lGX0A2Ue7du108uRJ/f7772rSpIn++ecfValSJcVHcW410XN9+616VJkyZfTcc8/pzTffdFTsDOVmdgCkz65du1S4cOHb3h4YGKhixYo9wEQAsqqJEydqx44dcnP7//9U2O12TZgwQS+++KKJyQBkVt27d1evXr0kSV988UWq2ydMmKDExMQUC9EZhiGr1aqLFy8qZ86cKfYvV66cSpUqpaeeekqlS5dWuXLltGXLFoe+BgCZm6enpxo3bqzGjRtr0KBBeuGFFzR48ODkq3Pt2rVLNWvWTHW/3bt3q0yZMrd8zKFDh6pEiRKaM2eOA5NnDM7AO5G///5b27ZtU7t27cyOAiCL27ZtmzZu3Kh//vknxVTP8uXLtWHDBm3fvt3siAAyoaZNmyohIUEJCQlq0qRJitsSExP1ww8/6OOPP05xXAkPD1ehQoX0888/3/Ixu3fvrn/++Yez7wBuqUyZMoqOjtZjjz2mXLly6eOPP061z++//659+/bpqaeeuuVjhIaGqlevXnr77bdTXW4us+EMfCYVHx+viIgIJSUl6fTp01q8eLFGjhypFi1aMBYPwOEmTJighx9+WHXr1k11W40aNTRhwgR9+umnJiQDkJm5urpq165dyX+/0fz583Xx4kU9//zzCggISHFb+/btNWHChOSz9zfq0aOHOnTooBw5cjgsN4DM7/z58+rQoYO6d++uChUqyM/PTxs3btRHH32kJ554Qj4+Pvrmm2/UqVMnvfjii+rVq5f8/f31119/qX///mrfvr06dux428cfOHCgvvvuOx06dEhPPvnkA3xl6cMZ+Exq8eLFypcvn8LCwtS0aVMtW7ZMn332mebOnZv8H0S73Z5itBUA0uvG48j1vyckJOinn3667bRPu3bt9NNPPykhIeFBRgXgJPz9/eXv759q+4QJE9SoUaNU5V26elzZsmWL/vvvv1S3ubm5KTAwkN95gGzO19dX1atX/7927iYkqi6O4/j3GtIiJkkDHUQYKAii0hYJvSCSgdGmFwratCgJKpiIAg0qGqJFL6QbKQgk1E2byMhqIVEWWCoErWzTSqPBjUQvtOg6LR4akvKxAp1Ofj+rc+7M/fO/dzW/Oede2traqKurY9WqVZw5c4aDBw/S3t4O/Pdn4KNHjxgdHaWuro4VK1bQ2trKqVOnuHnz5v++S6y0tJSWlhY+f/48V5f0R6LcdE/5668WxzGLFy+ms7OT3bt3F7odSYHaunUry5cvp729fcpYkiRJfx9X4AM0NjbGxYsXieOYTZs2FbodSQGamJjg3r17PH78mIaGhvx4y5YthW5NkiRJ03AvUoBqamooKyuju7ubioqKQrcjKUAHDhxgeHiYEydO0NXVlR9v37690K1JkiRpGm6hlyRJkiQpAG6hlyRJkiQpAAZ4SZIkSZICYICXJEmSJCkABnhJkiRJkgJggJckSZIkKQAGeEmSVFCZTIaamppCtyFJ0l/PAC9JkuZMFEX09PQUug1JkoJkgJckSZIkKQAGeEmS5qH6+nrS6TTHjh1jyZIllJeXc/36dT5+/Mj+/ftJJBIsW7aMBw8e5M/p7++ntraWhQsXkkwmOXnyJF++fJlS8+jRozQ3N1NaWkpFRQWZTCb/eSqVAmDnzp1EUZSff9Pd3U0qlaKkpIS9e/fy/v372bwFkiQFxwAvSdI81dnZydKlSxkaGiKdTnP48GH27NnDhg0bePHiBY2Njezbt49Pnz7x5s0btm3bxrp163j58iXXrl2jo6OD8+fP/1Bz0aJFDA4OcunSJc6dO0dfXx8Aw8PDANy4cYO3b9/m5wCvX7+mp6eH3t5eent76e/v58KFC3N3MyRJCkCUy+VyhW5CkiTNrfr6euI45unTpwDEcUxJSQm7du2iq6sLgGw2SzKZ5NmzZ9y9e5dbt24xMjJCFEUAXL16lZaWFt69e0dRUdEPNQFqa2vZvHlzPoxHUcTt27fZsWNH/juZTIbLly+TzWZJJBIANDc38+TJE54/fz4Xt0OSpCC4Ai9J0jy1Zs2a/HjBggWUlZWxevXq/LHy8nIAxsfHGRkZYf369fnwDrBx40Y+fPjA2NjYT2sCJJNJxsfHZ+wllUrlw/vvnCdJ0nxigJckaZ4qLi6eMo+iaMqxb2F9cnKSXC43JbwDfNvE9/3xn9WcnJz8o15+5TxJkuYTA7wkSZrRypUrGRgY4Psn7wYGBkgkElRWVv5yneLiYuI4no0WJUn65xngJUnSjI4cOcLo6CjpdJpXr15x584dzp49y/Hjxykq+vWfE6lUiocPH5LNZpmYmJjFjiVJ+vcY4CVJ0owqKyu5f/8+Q0NDVFdXc+jQIZqamjh9+vRv1bly5Qp9fX1UVVWxdu3aWepWkqR/k2+hlyRJkiQpAK7AS5IkSZIUAAO8JEmSJEkBMMBLkiRJkhQAA7wkSZIkSQEwwEuSJEmSFAADvCRJkiRJATDAS5IkSZIUAAO8JEmSJEkBMMBLkiRJkhQAA7wkSZIkSQEwwEuSJEmSFICvnmxSlrG1Y+EAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize =(12,6))\n",
    "plt.plot(seas['season'], seas.values, label='temp')\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('Temperature (C)')\n",
    "plt.title('Monthly Average TP Temp ERA5')\n",
    "plt.grid(True)\n",
    "#plt.xticks(np.arange(1, 5), ['DJF', 'MAM', 'JJA', 'SON'])\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "5c37cad0-5b59-4487-8916-4c19683344f6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bar graph\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.bar(seas['season'], seas.values, color=['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728'], alpha=0.7)\n",
    "plt.xlabel('Season')\n",
    "plt.ylabel('Temperature (K)')\n",
    "plt.title('ERA5 Seasonal Average TP Temperature')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14f446d9-c844-4f03-8b80-a184ab5ea205",
   "metadata": {},
   "source": [
    "## warm and cool periods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cff8c9d3-9b30-430f-a25f-b5d0ed20db7c",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "NetCDF: HDF error",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[34], line 6\u001b[0m\n\u001b[1;32m      3\u001b[0m cold_period \u001b[38;5;241m=\u001b[39m tmt\u001b[38;5;241m.\u001b[39msel(time\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mslice\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m1980-01-01\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2000-12-31\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m# Compute the mean temperature for both periods\u001b[39;00m\n\u001b[0;32m----> 6\u001b[0m warm_mean \u001b[38;5;241m=\u001b[39m \u001b[43mwarm_period\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmean\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtime\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      7\u001b[0m cold_mean \u001b[38;5;241m=\u001b[39m cold_period\u001b[38;5;241m.\u001b[39mmean(dim\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtime\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m      9\u001b[0m \u001b[38;5;66;03m# Compute the difference\u001b[39;00m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/_aggregations.py:1664\u001b[0m, in \u001b[0;36mDataArrayAggregations.mean\u001b[0;34m(self, dim, skipna, keep_attrs, **kwargs)\u001b[0m\n\u001b[1;32m   1589\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmean\u001b[39m(\n\u001b[1;32m   1590\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m   1591\u001b[0m     dim: Dims \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1595\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[1;32m   1596\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Self:\n\u001b[1;32m   1597\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1598\u001b[0m \u001b[38;5;124;03m    Reduce this DataArray's data by applying ``mean`` along some dimension(s).\u001b[39;00m\n\u001b[1;32m   1599\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1662\u001b[0m \u001b[38;5;124;03m    array(nan)\u001b[39;00m\n\u001b[1;32m   1663\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1664\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreduce\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1665\u001b[0m \u001b[43m        \u001b[49m\u001b[43mduck_array_ops\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmean\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1666\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdim\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1667\u001b[0m \u001b[43m        \u001b[49m\u001b[43mskipna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mskipna\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1668\u001b[0m \u001b[43m        \u001b[49m\u001b[43mkeep_attrs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkeep_attrs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1669\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1670\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/dataarray.py:3808\u001b[0m, in \u001b[0;36mDataArray.reduce\u001b[0;34m(self, func, dim, axis, keep_attrs, keepdims, **kwargs)\u001b[0m\n\u001b[1;32m   3764\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mreduce\u001b[39m(\n\u001b[1;32m   3765\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m   3766\u001b[0m     func: Callable[\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m, Any],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   3772\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[1;32m   3773\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Self:\n\u001b[1;32m   3774\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Reduce this array by applying `func` along some dimension(s).\u001b[39;00m\n\u001b[1;32m   3775\u001b[0m \n\u001b[1;32m   3776\u001b[0m \u001b[38;5;124;03m    Parameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   3805\u001b[0m \u001b[38;5;124;03m        summarized data and the indicated dimension(s) removed.\u001b[39;00m\n\u001b[1;32m   3806\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 3808\u001b[0m     var \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvariable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreduce\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeep_attrs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeepdims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3809\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_replace_maybe_drop_dims(var)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/variable.py:1662\u001b[0m, in \u001b[0;36mVariable.reduce\u001b[0;34m(self, func, dim, axis, keep_attrs, keepdims, **kwargs)\u001b[0m\n\u001b[1;32m   1655\u001b[0m keep_attrs_ \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m   1656\u001b[0m     _get_keep_attrs(default\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m) \u001b[38;5;28;01mif\u001b[39;00m keep_attrs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m keep_attrs\n\u001b[1;32m   1657\u001b[0m )\n\u001b[1;32m   1659\u001b[0m \u001b[38;5;66;03m# Noe that the call order for Variable.mean is\u001b[39;00m\n\u001b[1;32m   1660\u001b[0m \u001b[38;5;66;03m#    Variable.mean -> NamedArray.mean -> Variable.reduce\u001b[39;00m\n\u001b[1;32m   1661\u001b[0m \u001b[38;5;66;03m#    -> NamedArray.reduce\u001b[39;00m\n\u001b[0;32m-> 1662\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreduce\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1663\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfunc\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdim\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeepdims\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkeepdims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m   1664\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1666\u001b[0m \u001b[38;5;66;03m# return Variable always to support IndexVariable\u001b[39;00m\n\u001b[1;32m   1667\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m Variable(\n\u001b[1;32m   1668\u001b[0m     result\u001b[38;5;241m.\u001b[39mdims, result\u001b[38;5;241m.\u001b[39m_data, attrs\u001b[38;5;241m=\u001b[39mresult\u001b[38;5;241m.\u001b[39m_attrs \u001b[38;5;28;01mif\u001b[39;00m keep_attrs_ \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1669\u001b[0m )\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/namedarray/core.py:905\u001b[0m, in \u001b[0;36mNamedArray.reduce\u001b[0;34m(self, func, dim, axis, keepdims, **kwargs)\u001b[0m\n\u001b[1;32m    901\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(axis, \u001b[38;5;28mtuple\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(axis) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m    902\u001b[0m         \u001b[38;5;66;03m# unpack axis for the benefit of functions\u001b[39;00m\n\u001b[1;32m    903\u001b[0m         \u001b[38;5;66;03m# like np.argmin which can't handle tuple arguments\u001b[39;00m\n\u001b[1;32m    904\u001b[0m         axis \u001b[38;5;241m=\u001b[39m axis[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 905\u001b[0m     data \u001b[38;5;241m=\u001b[39m func(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m, axis\u001b[38;5;241m=\u001b[39maxis, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m    906\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    907\u001b[0m     data \u001b[38;5;241m=\u001b[39m func(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/variable.py:448\u001b[0m, in \u001b[0;36mVariable.data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    446\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_data\n\u001b[1;32m    447\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_data, indexing\u001b[38;5;241m.\u001b[39mExplicitlyIndexed):\n\u001b[0;32m--> 448\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_duck_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    449\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    450\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalues\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/indexing.py:836\u001b[0m, in \u001b[0;36mMemoryCachedArray.get_duck_array\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    835\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_duck_array\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 836\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_ensure_cached\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    837\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39marray\u001b[38;5;241m.\u001b[39mget_duck_array()\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/indexing.py:830\u001b[0m, in \u001b[0;36mMemoryCachedArray._ensure_cached\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    829\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_ensure_cached\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 830\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39marray \u001b[38;5;241m=\u001b[39m as_indexable(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marray\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_duck_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m)\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/indexing.py:787\u001b[0m, in \u001b[0;36mCopyOnWriteArray.get_duck_array\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    786\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_duck_array\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 787\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marray\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_duck_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/core/indexing.py:650\u001b[0m, in \u001b[0;36mLazilyIndexedArray.get_duck_array\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    646\u001b[0m     array \u001b[38;5;241m=\u001b[39m apply_indexer(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39marray, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkey)\n\u001b[1;32m    647\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    648\u001b[0m     \u001b[38;5;66;03m# If the array is not an ExplicitlyIndexedNDArrayMixin,\u001b[39;00m\n\u001b[1;32m    649\u001b[0m     \u001b[38;5;66;03m# it may wrap a BackendArray so use its __getitem__\u001b[39;00m\n\u001b[0;32m--> 650\u001b[0m     array \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marray\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m    652\u001b[0m \u001b[38;5;66;03m# self.array[self.key] is now a numpy array when\u001b[39;00m\n\u001b[1;32m    653\u001b[0m \u001b[38;5;66;03m# self.array is a BackendArray subclass\u001b[39;00m\n\u001b[1;32m    654\u001b[0m \u001b[38;5;66;03m# and self.key is BasicIndexer((slice(None, None, None),))\u001b[39;00m\n\u001b[1;32m    655\u001b[0m \u001b[38;5;66;03m# so we need the explicit check for ExplicitlyIndexed\u001b[39;00m\n\u001b[1;32m    656\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(array, ExplicitlyIndexed):\n",
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      "File \u001b[0;32m/nird/scratch/pgchiu/miniforge/envs/py3env3/lib/python3.10/site-packages/xarray/backends/netCDF4_.py:113\u001b[0m, in \u001b[0;36mNetCDF4ArrayWrapper._getitem\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    111\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdatastore\u001b[38;5;241m.\u001b[39mlock:\n\u001b[1;32m    112\u001b[0m         original_array \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_array(needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m--> 113\u001b[0m         array \u001b[38;5;241m=\u001b[39m \u001b[43mgetitem\u001b[49m\u001b[43m(\u001b[49m\u001b[43moriginal_array\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    114\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m:\n\u001b[1;32m    115\u001b[0m     \u001b[38;5;66;03m# Catch IndexError in netCDF4 and return a more informative\u001b[39;00m\n\u001b[1;32m    116\u001b[0m     \u001b[38;5;66;03m# error message.  This is most often called when an unsorted\u001b[39;00m\n\u001b[1;32m    117\u001b[0m     \u001b[38;5;66;03m# indexer is used before the data is loaded from disk.\u001b[39;00m\n\u001b[1;32m    118\u001b[0m     msg \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    119\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe indexing operation you are attempting to perform \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    120\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mis not valid on netCDF4.Variable object. Try loading \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    121\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myour data into memory first by calling .load().\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    122\u001b[0m     )\n",
      "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:4972\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4.Variable.__getitem__\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:5930\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4.Variable._get\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2034\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4._ensure_nc_success\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: NetCDF: HDF error"
     ]
    }
   ],
   "source": [
    "# Define warm and cold periods\n",
    "warm_period = tmt.sel(time=slice('2000-01-01', '2020-12-31'))\n",
    "cold_period = tmt.sel(time=slice('1980-01-01', '2000-12-31'))\n",
    "\n",
    "# Compute the mean temperature for both periods\n",
    "warm_mean = warm_period.mean(dim='time')\n",
    "cold_mean = cold_period.mean(dim='time')\n",
    "\n",
    "# Compute the difference\n",
    "temp_diff = warm_mean - cold_mean\n",
    "\n",
    "# Plot the temperature difference\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "cf = ax.contourf(lon, lat, temp_diff, cmap='coolwarm', transform=ccrs.PlateCarree(), levels=np.linspace(-1, 1, 10), zorder=0, extend='both')\n",
    "ax.coastlines()\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=1)\n",
    "ax.add_feature(cartopy.feature.LAKES, edgecolor='black')\n",
    "ax.add_feature(cartopy.feature.RIVERS, linewidth=0.5)\n",
    "\n",
    "\n",
    "plt.colorbar(cf, orientation='horizontal', pad=0.05, label='Temperature Difference (K)')\n",
    "plt.title('Temperature Difference: Warm Period vs Cold Period')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "beeff984-9e83-4e01-8084-608f639a8a58",
   "metadata": {},
   "outputs": [
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       "\n",
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       "\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
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       ".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",
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       "\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "  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",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 6kB\n",
       "Dimensions:         (time: 519)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 4kB 1979-01-01 ... 2022-03-01\n",
       "Data variables:\n",
       "    tp_temperature  (time) float32 2kB -10.16 -8.59 -5.092 ... -10.25 0.1754</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-059e617a-6050-4f94-bd30-1b84f2e3f464' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-059e617a-6050-4f94-bd30-1b84f2e3f464' 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>: 519</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-29fe251b-0a29-4d5d-8812-d76e3d3064d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-29fe251b-0a29-4d5d-8812-d76e3d3064d8' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span 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'>1979-01-01 ... 2022-03-01</div><input id='attrs-794af70a-21b4-4085-a9f6-e61626efc4c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-794af70a-21b4-4085-a9f6-e61626efc4c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f69bca27-0689-47ec-9770-40e7e7ecaed1' class='xr-var-data-in' type='checkbox'><label for='data-f69bca27-0689-47ec-9770-40e7e7ecaed1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2022-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-02-01T00:00:00.000000000&#x27;, &#x27;2022-03-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-160a3792-f41e-4aa7-8d73-9bba471862c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-160a3792-f41e-4aa7-8d73-9bba471862c4' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp_temperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-10.16 -8.59 ... -10.25 0.1754</div><input id='attrs-f69395d4-7944-4af3-88db-d9f779433845' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f69395d4-7944-4af3-88db-d9f779433845' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ff54514-3617-4973-838f-2aafe932ffe3' class='xr-var-data-in' type='checkbox'><label for='data-8ff54514-3617-4973-838f-2aafe932ffe3' 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([-1.01555481e+01, -8.59002686e+00, -5.09219360e+00,  2.51455688e+00,\n",
       "        6.94271851e+00,  1.03477478e+01,  1.12466125e+01,  1.19672546e+01,\n",
       "        6.50329590e+00,  6.54693604e-01, -4.70126343e+00, -9.97622681e+00,\n",
       "       -1.19692383e+01, -8.51739502e+00, -3.89541626e+00,  2.27255249e+00,\n",
       "        6.82235718e+00,  1.01423645e+01,  1.21455994e+01,  1.12921753e+01,\n",
       "        7.93701172e+00,  3.93402100e-01, -4.71801758e+00, -8.63153076e+00,\n",
       "       -1.12422791e+01, -7.48886108e+00, -3.64602661e+00,  1.48242188e+00,\n",
       "        6.69534302e+00,  1.09105530e+01,  1.28786926e+01,  1.21625061e+01,\n",
       "        7.84353638e+00,  1.29107666e+00, -6.91970825e+00, -1.11963806e+01,\n",
       "       -9.52212524e+00, -9.23699951e+00, -3.80096436e+00,  3.89617920e-01,\n",
       "        5.22143555e+00,  9.31866455e+00,  1.22867432e+01,  1.20133362e+01,\n",
       "        7.90670776e+00,  1.73825073e+00, -6.00280762e+00, -1.08487854e+01,\n",
       "       -1.29797058e+01, -1.09598999e+01, -4.99615479e+00, -5.07354736e-01,\n",
       "        5.44232178e+00,  9.20223999e+00,  1.18587952e+01,  1.19223022e+01,\n",
       "        8.83724976e+00,  1.86959839e+00, -5.70281982e+00, -9.99615479e+00,\n",
       "       -1.22499695e+01, -8.56790161e+00, -2.29287720e+00,  2.47976685e+00,\n",
       "        7.15414429e+00,  1.09426270e+01,  1.17917786e+01,  1.15255432e+01,\n",
       "        7.58749390e+00,  2.13320923e+00, -5.10806274e+00, -9.03173828e+00,\n",
       "       -1.16066589e+01, -8.45394897e+00, -2.31735229e+00,  2.12710571e+00,\n",
       "        6.43786621e+00,  9.84841919e+00,  1.16969299e+01,  1.27042542e+01,\n",
       "...\n",
       "        9.30828857e+00,  3.38980103e+00, -2.21426392e+00, -8.98529053e+00,\n",
       "       -1.08051453e+01, -6.97125244e+00, -1.40652466e+00,  3.47732544e+00,\n",
       "        7.17794800e+00,  1.19371033e+01,  1.35436096e+01,  1.33848267e+01,\n",
       "        9.04025269e+00,  3.19705200e+00, -3.09368896e+00, -5.80484009e+00,\n",
       "       -9.71401978e+00, -5.63912964e+00, -3.50674438e+00,  2.88851929e+00,\n",
       "        6.86218262e+00,  1.04873962e+01,  1.34491577e+01,  1.27671814e+01,\n",
       "        9.78262329e+00,  3.61270142e+00, -4.45169067e+00, -6.99472046e+00,\n",
       "       -9.09414673e+00, -6.91781616e+00, -1.49197388e+00,  2.98458862e+00,\n",
       "        7.30249023e+00,  1.18540039e+01,  1.36875305e+01,  1.31869812e+01,\n",
       "        9.08712769e+00,  2.97760010e-01, -5.64395142e+00, -1.08930664e+01,\n",
       "       -1.16946106e+01, -7.95132446e+00, -4.18200684e+00,  3.35977173e+00,\n",
       "        6.47543335e+00,  1.09823303e+01,  1.24487000e+01,  1.31629028e+01,\n",
       "        9.46548462e+00,  2.55770874e+00, -3.08578491e+00, -1.07102356e+01,\n",
       "       -1.13529968e+01, -8.07745361e+00, -2.79470825e+00,  1.64065552e+00,\n",
       "        6.17068481e+00,  1.08808289e+01,  1.32056885e+01,  1.31505127e+01,\n",
       "        1.04270325e+01,  4.23117065e+00, -3.36575317e+00, -8.99435425e+00,\n",
       "       -9.25225830e+00, -5.46334839e+00, -7.60223389e-01,  1.49325562e+00,\n",
       "        6.75509644e+00,  1.12638245e+01,  1.38830261e+01,  1.25920715e+01,\n",
       "        9.64318848e+00,  3.74893188e+00, -5.74179077e+00, -9.97369385e+00,\n",
       "       -1.11796875e+01, -1.02454224e+01,  1.75384521e-01], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43d7fd73-35d2-4b1f-a962-5b9ef0ebbbee' class='xr-section-summary-in' type='checkbox'  ><label for='section-43d7fd73-35d2-4b1f-a962-5b9ef0ebbbee' 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-d7d2bf48-f389-41e1-b9a1-153fe43cc008' class='xr-index-data-in' type='checkbox'/><label for='index-d7d2bf48-f389-41e1-b9a1-153fe43cc008' 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;1979-01-01&#x27;, &#x27;1979-02-01&#x27;, &#x27;1979-03-01&#x27;, &#x27;1979-04-01&#x27;,\n",
       "               &#x27;1979-05-01&#x27;, &#x27;1979-06-01&#x27;, &#x27;1979-07-01&#x27;, &#x27;1979-08-01&#x27;,\n",
       "               &#x27;1979-09-01&#x27;, &#x27;1979-10-01&#x27;,\n",
       "               ...\n",
       "               &#x27;2021-06-01&#x27;, &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;,\n",
       "               &#x27;2021-10-01&#x27;, &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;, &#x27;2022-01-01&#x27;,\n",
       "               &#x27;2022-02-01&#x27;, &#x27;2022-03-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=519, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78f65172-de99-4122-8f4d-9b55e9b6c051' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78f65172-de99-4122-8f4d-9b55e9b6c051' 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.Dataset> Size: 6kB\n",
       "Dimensions:         (time: 519)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 4kB 1979-01-01 ... 2022-03-01\n",
       "Data variables:\n",
       "    tp_temperature  (time) float32 2kB -10.16 -8.59 -5.092 ... -10.25 0.1754"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7b3e82e-7d5d-4ff1-b265-26e95e4b66d7",
   "metadata": {},
   "outputs": [],
   "source": [
    ".mean(dim='time')"
   ]
  }
 ],
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