{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example workflow to analyse the type and amount of errors for different preprocessing levels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you are only interested in the final plots and a summary for preprocessing level 5 go to:\n",
    "- [Plot and summary of findings about relative failing glacier area](#id-total-error-area-summary)\n",
    "- [Comparison of errors between the different RGI regions](#id-rgi-diff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-12-17 12:46:37: oggm.cfg: Reading default parameters from the OGGM `params.cfg` configuration file.\n",
      "2021-12-17 12:46:37: oggm.cfg: Multiprocessing switched OFF according to the parameter file.\n",
      "2021-12-17 12:46:37: oggm.cfg: Multiprocessing: using all available processors (N=32)\n"
     ]
    }
   ],
   "source": [
    "from oggm import cfg, workflow, utils, shop\n",
    "import pandas as pd\n",
    "import os, glob\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "cfg.initialize()\n",
    "\n",
    "import matplotlib\n",
    "matplotlib.rcParams['figure.figsize'] = (14, 8)\n",
    "\n",
    "# makes sure that the pandas output columns are not cropped!\n",
    "pd.set_option(\"max_colwidth\", None)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def error_analysis_w_plot(dfserr={}, pd_rel_error_area = None,\n",
    "                          level='L2', exp='elev_bands', pcp ='', clim='', \n",
    "                          qc = '', match = '', border = 160,\n",
    "                          rgi_reg = 'all', \n",
    "                          path = '/home/www/oggm/gdirs/oggm_v1.4/', subplot = False, xlim=None, plot=True):\n",
    "    \"\"\" Estimates for a specific preprocessed gdirs the relative glacier area with errors\n",
    "    and the relative amount of glaciers with errors (both in %). \n",
    "    \n",
    "    Plots the error counts for the different error types.\n",
    "    \n",
    "    Works only if the glacier statistics were estimated!\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    dfserr : dictionary\n",
    "        dictionary where already errors of largest glaciers from other preprocessed gdirs are saved, default is an empty dictionary\n",
    "    pd_rel_error_area : pd.DataFrame\n",
    "        pandas DataFrame with statistics about relative area and amount of errors on glaciers. \n",
    "        Default is None, which creates a new pandas DataFrame\n",
    "    level : str\n",
    "        the preprocessing level where the errors should be estimated and plotted.\n",
    "        So far, it works only for 'L2' and 'L5'. Default is 'L2'.\n",
    "    exp : str\n",
    "        which glacier flowlines are used. Either 'elev_bands' (default) or 'centerlines'\n",
    "    pcp : str\n",
    "        precipitation factor applied (depends on clim). Has to be set!\n",
    "    clim : str\n",
    "        which baseline is applied. Either 'ERA5' or 'CRU'. Has to be set!\n",
    "    qc : str\n",
    "        whether a glacier climate quality check and correction was applied. If yes, set it to 'qc3', \n",
    "        otherwise to 'qc0'. Has to be set!\n",
    "    match: str\n",
    "        which calibration & other methods are chosen: Has to be set if above level 2!\n",
    "        - \"no_match\" : only direct glaciological WGMS data used\n",
    "        - \"match_geod\" : same as no_match, but regionally the geodetic estimates are matched by changing epsilon\n",
    "        - \"match_geod_pergla\" : only per-glacier-individual geodetic estimates of Hugonnet et al. (2021) matched\n",
    "        - \"match_geod_pergla_massredis\" : same as match_geod_pergla, but instead of the Shallow-Ice Approximation, \n",
    "          a mass-redistribution is applied (see: https://docs.oggm.org/en/latest/mass-redistribution.html)\n",
    "    border : str\n",
    "        which size of the local glacier map was used (prepro_border). For qc0, e.g., \n",
    "        most preprocessing directories are available for border=80. Default is 160\n",
    "    rgi_reg : str\n",
    "        default is all RGI regions. But you can also choose a single RGI region (e.g. rgi_reg = '11') or all RGI \n",
    "        regions except 19 (i.e. not available for CRU!, rgi_reg='all_without_19')\n",
    "    path : str\n",
    "        path to the general gdirs folder\n",
    "    subplot : bool\n",
    "        Default is False. If you want to use several plots, set it to True\n",
    "    xlim : int\n",
    "        Default is None. Maximum of single type errors in the plot. Useful for subplots\n",
    "    plot : bool\n",
    "        If an error type plot should be returned or not!\n",
    "    \n",
    "    Returns\n",
    "    -------\n",
    "    dfserr : dictionary\n",
    "        dictionary where for each preprocessed gdir, a pd.DataFrame exists which lists the \n",
    "        type of errors and area of the 15 largest glaciers with errors\n",
    "    pd_rel_error_area : pd.DataFrame\n",
    "        pandas DataFrame with statistics about relative area and amount of errors on glaciers. \n",
    "        If repeated, for several preprocessed gdirs, each row represents the statistics of \n",
    "        one preprocessed gdirs.\n",
    "        \n",
    "    \"\"\"\n",
    "    if clim == 'CRU' and rgi_reg == 'all':\n",
    "        raise InvalidParamsError(\"CRU is NOT available for RGI 19, use rgi_reg='all_without_19' instead\")\n",
    "    if pd_rel_error_area is None:\n",
    "        pd_rel_error_area = pd.DataFrame(columns=['rel_error_area_in_percent', 'level', 'exp', 'pcp_clim', 'match', 'qc'])\n",
    "\n",
    "    if level == 'L2':\n",
    "        fd = f'{path}/L1-L2_files/{exp}/RGI62/b_{border:03d}/L2/summary/'\n",
    "        err_msg = \"In preprocessing level 2, climate, precipitation factor and qc should not be defined\"\n",
    "        assert pcp == '' and clim == '' and qc == '', err_msg\n",
    "        title = f'{level}: {exp}, border: {border}'\n",
    "        dict_key = f'{level}_{exp}_b{border}_rgi_{rgi_reg}'\n",
    "    elif level == 'L5':\n",
    "        fd = f'{path}/L3-L5_files/{clim}/{exp}/{qc}/{pcp}/{match}/RGI62/b_{border:03d}/L5/summary/'\n",
    "        err_msg = \"In preprocessing level 2, need to prescribe climate (clim), match, precipitation factor (pcp) and quality check type (qc)\"\n",
    "        assert pcp != '' and clim != '' and qc != '' and match !='' , err_msg\n",
    "\n",
    "        title = f'{level}: {exp}, {pcp}, {clim}, {match}, {qc}, border: {border}, rgi_{rgi_reg}'\n",
    "        dict_key = f'{level}_{exp}_{pcp}_{clim}_{match}_{qc}_b{border}_rgi_{rgi_reg}'\n",
    "    else:\n",
    "        raise InvalidParamsError('Only L2 and L5 can be used, but the function can be adapted easily in order that it works for other levels!')\n",
    "        \n",
    "    # get the statistics file which lists errors and their type\n",
    "    fs = glob.glob(fd+'glacier_statistics*.csv')\n",
    "    \n",
    "    if rgi_reg == 'all_without_19':\n",
    "        for f in fs:\n",
    "            if 'statistics_19' in f:\n",
    "                fs.remove(f)\n",
    "        assert len(fs) == 18\n",
    "    elif rgi_reg == 'all':\n",
    "        assert len(fs) == 19\n",
    "    else:\n",
    "        for f in fs:\n",
    "            if f'statistics_{rgi_reg}' in f:\n",
    "                fs = [f]\n",
    "                break\n",
    "        assert len(fs) == 1\n",
    "    \n",
    "    df = []\n",
    "    for f in fs:\n",
    "        df.append(pd.read_csv(f, index_col=0, low_memory=False))\n",
    "    df = pd.concat(df).sort_index()\n",
    "    \n",
    "    rel_error_area = df.loc[~df['error_task'].isnull()].rgi_area_km2.sum() / df.rgi_area_km2.sum() * 100\n",
    "    \n",
    "    # plot the amount of errors for each error type\n",
    "    if plot:\n",
    "        title = title + '\\n relative glacier area with errors: {:.2f}%'.format(rel_error_area)\n",
    "        if not subplot:\n",
    "            plt.figure()\n",
    "        plt.title(title)\n",
    "        sns.countplot(y=\"error_task\", data=df.sort_values(by='error_task'));\n",
    "        if xlim is not None:\n",
    "            plt.xlim([0,xlim])\n",
    "\n",
    "    # save the glaciers that result in errors sorted from largest to smallest glacier area\n",
    "    dfserr[dict_key] = df.loc[~df['error_task'].isnull()].sort_values(by='rgi_area_km2', ascending=False)[['rgi_area_km2', 'error_task', 'error_msg']]\n",
    "    # .iloc[:15]\n",
    "    # save statistics about relative area and amount of errors on glaciers\n",
    "    pd_rel_error_area.loc[dict_key] = np.NaN\n",
    "    pd_rel_error_area.loc[dict_key]['rel_error_area_in_percent'] = rel_error_area\n",
    "    pd_rel_error_area.loc[dict_key]['clim_pcp'] = f'{clim}_{pcp}'\n",
    "    pd_rel_error_area.loc[dict_key]['rgi_reg'] = rgi_reg\n",
    "    pd_rel_error_area.loc[dict_key]['level'] = level\n",
    "    pd_rel_error_area.loc[dict_key]['border'] = border\n",
    "    pd_rel_error_area.loc[dict_key]['exp'] = exp\n",
    "    pd_rel_error_area.loc[dict_key]['match'] = match\n",
    "    pd_rel_error_area.loc[dict_key]['qc'] = qc\n",
    "    \n",
    "    return dfserr, pd_rel_error_area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# could be changed, but not all pre-processed directories are available for all prepro_border options!\n",
    "border = 160 # 80 if qc0\n",
    "# these are just containers to save and later compare the error statistics! \n",
    "dfserr = {}\n",
    "pd_rel_error_area = pd.DataFrame(columns=['rel_error_area_in_percent', 'level', 'exp', 'clim_pcp', 'match', 'qc', 'border', 'rgi_reg'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Analysis for Level 2 pre-processing directories!\n",
    "\n",
    "In pre-processing level 2, we only distinguish between elevation bands and centerlines (see the [Flowlines documentation](https://docs.oggm.org/en/stable/flowlines.html#glacier-flowlines) for an explanation about the differences). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1008x216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,3))\n",
    "plt.subplot(121)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area, level='L2', subplot=True,\n",
    "                                                  exp='elev_bands', border=border, xlim = 800)\n",
    "plt.subplot(122)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area, level='L2',  subplot=True,\n",
    "                                                  exp='centerlines', border=border, xlim = 800)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- failing glacier area on pre-processing level 2 is ~0.1% or less\n",
    "- less glaciers will fail when using elev_bands than centerlines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Here you can analyse the failing glaciers with the largest area and the type of error that has occurred!**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-10.00002</th>\n",
       "      <td>48.144</td>\n",
       "      <td>simple_glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-10.00002 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-10.00006</th>\n",
       "      <td>12.966</td>\n",
       "      <td>simple_glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-10.00006 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-12.01364</th>\n",
       "      <td>9.250</td>\n",
       "      <td>simple_glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-12.01364 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-19.01402</th>\n",
       "      <td>7.482</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI60-19.01402) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-19.01367</th>\n",
       "      <td>7.271</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI60-19.01367) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2               error_task  \\\n",
       "rgi_id                                                  \n",
       "RGI60-10.00002        48.144     simple_glacier_masks   \n",
       "RGI60-10.00006        12.966     simple_glacier_masks   \n",
       "RGI60-12.01364         9.250     simple_glacier_masks   \n",
       "RGI60-19.01402         7.482  elevation_band_flowline   \n",
       "RGI60-19.01367         7.271  elevation_band_flowline   \n",
       "\n",
       "                                                                      error_msg  \n",
       "rgi_id                                                                           \n",
       "RGI60-10.00002              GeometryError: RGI60-10.00002 is a nominal glacier.  \n",
       "RGI60-10.00006              GeometryError: RGI60-10.00006 is a nominal glacier.  \n",
       "RGI60-12.01364              GeometryError: RGI60-12.01364 is a nominal glacier.  \n",
       "RGI60-19.01402  InvalidDEMError: (RGI60-19.01402) DEM altidude range too small.  \n",
       "RGI60-19.01367  InvalidDEMError: (RGI60-19.01367) DEM altidude range too small.  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr['L2_elev_bands_b160_rgi_all'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-19.01521</th>\n",
       "      <td>94.963</td>\n",
       "      <td>initialize_flowlines</td>\n",
       "      <td>RuntimeError: Altitude range of main flowline too small: 0.11659260120634544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-10.00002</th>\n",
       "      <td>48.144</td>\n",
       "      <td>glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-10.00002 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-04.06184</th>\n",
       "      <td>40.934</td>\n",
       "      <td>initialize_flowlines</td>\n",
       "      <td>AssertionError:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-03.04079</th>\n",
       "      <td>35.752</td>\n",
       "      <td>initialize_flowlines</td>\n",
       "      <td>RuntimeError: Altitude range of main flowline too small: 1.2600400626842188e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-14.01649</th>\n",
       "      <td>30.795</td>\n",
       "      <td>catchment_area</td>\n",
       "      <td>ValueError: no minimum-cost path was found to the specified end point</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2            error_task  \\\n",
       "rgi_id                                               \n",
       "RGI60-19.01521        94.963  initialize_flowlines   \n",
       "RGI60-10.00002        48.144         glacier_masks   \n",
       "RGI60-04.06184        40.934  initialize_flowlines   \n",
       "RGI60-03.04079        35.752  initialize_flowlines   \n",
       "RGI60-14.01649        30.795        catchment_area   \n",
       "\n",
       "                                                                                      error_msg  \n",
       "rgi_id                                                                                           \n",
       "RGI60-19.01521     RuntimeError: Altitude range of main flowline too small: 0.11659260120634544  \n",
       "RGI60-10.00002                              GeometryError: RGI60-10.00002 is a nominal glacier.  \n",
       "RGI60-04.06184                                                                 AssertionError:   \n",
       "RGI60-03.04079  RuntimeError: Altitude range of main flowline too small: 1.2600400626842188e-05  \n",
       "RGI60-14.01649            ValueError: no minimum-cost path was found to the specified end point  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr['L2_centerlines_b160_rgi_all'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's just look at the level 2 errors for only RGI region 12 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rgi_reg = '12'\n",
    "plt.figure(figsize=(14,3))\n",
    "plt.subplot(121)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area, level='L2', subplot=True,\n",
    "                                                      exp='elev_bands', rgi_reg=rgi_reg,\n",
    "                                                      border=border, xlim = 400)\n",
    "plt.subplot(122)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area, level='L2',  subplot=True,\n",
    "                                                      exp='centerlines', rgi_reg=rgi_reg,\n",
    "                                                      border=border, xlim = 400)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rgi_id\n",
       "RGI60-12.01364    GeometryError: RGI60-12.01364 is a nominal glacier.\n",
       "RGI60-12.01372    GeometryError: RGI60-12.01372 is a nominal glacier.\n",
       "RGI60-12.01374    GeometryError: RGI60-12.01374 is a nominal glacier.\n",
       "RGI60-12.01500    GeometryError: RGI60-12.01500 is a nominal glacier.\n",
       "RGI60-12.01443    GeometryError: RGI60-12.01443 is a nominal glacier.\n",
       "                                         ...                         \n",
       "RGI60-12.01628    GeometryError: RGI60-12.01628 is a nominal glacier.\n",
       "RGI60-12.01545    GeometryError: RGI60-12.01545 is a nominal glacier.\n",
       "RGI60-12.01546    GeometryError: RGI60-12.01546 is a nominal glacier.\n",
       "RGI60-12.01547    GeometryError: RGI60-12.01547 is a nominal glacier.\n",
       "RGI60-12.01350    GeometryError: RGI60-12.01350 is a nominal glacier.\n",
       "Name: error_msg, Length: 339, dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr['L2_elev_bands_b160_rgi_12']['error_msg']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In RGI region 12, ~12% of the glacier area can not run even in pre-processing level 2. The reasons are glacier masks errors because many of the glaciers in RGI region 12 are \"nominal\" glaciers. Nominal means here that the glaciers don't have a glacier outline but only a location and area and hence can not be run with OGGM. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis for Level 5 pre-processing directories! \n",
    "\n",
    "In pre-processing level 5, we distinguish between:\n",
    "- different flowline types (exp = 'elev_bands' or 'centerlines', see the [Flowlines documentation](https://docs.oggm.org/en/stable/flowlines.html#glacier-flowlines))\n",
    "- different climate and precipitation factors (here: clim='CRU' with pcp='pcp2.5' or 'ERA5' with 'pcp1.6')\n",
    "- different ways to calibrate the mass balance (see [documentation on available mass-balance calibration methods](https://docs.oggm.org/en/latest/input-data.html#d-option-mass-balance-calibration-method)):\n",
    "    - match = \"no_match\" : only direct glaciological WGMS data used\n",
    "    - match = \"match_geod\" : same as no_match, but regionally the geodetic estimates are matched by changing epsilon\n",
    "    - match = \"match_geod_pergla\" : only per-glacier-individual geodetic estimates of Hugonnet et al. (2021) matched \n",
    "- applying the climate quality check and correction (qc='qc3') or not (qc='qc0'), see [historical_climate_qc](https://docs.oggm.org/en/latest/generated/oggm.tasks.historical_climate_qc.html#oggm.tasks.historical_climate_qc).\n",
    "    - for match_geod_pergla there is only qc0 because the climate quality check and correction is done already internally (if no mu_star in the range 20-600 was found, a temperature bias is applied, see [the MB-pergla documentation](https://docs.oggm.org/en/latest/mass-balance-2012-pergla.html).\n",
    "- using either the default shallow-ice approximation or a simple mass-redistribution (see: https://docs.oggm.org/en/latest/mass-redistribution.html). For the mass-redistribution, we only have one preprocessed glacier directory at the moment. You can check it out under:\n",
    "    - match = 'match_geod_pergla_massredis' (same as match_geod_pergla but with mass redistribution instead of SIA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "level = 'L5'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's start by looking only on elev_bands flowline pre-processed directories with 'qc3':\n",
    "\n",
    "- this makes only sense for 'no_match' and for 'match_geod'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1296 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp = 'elev_bands'\n",
    "qc = 'qc3'\n",
    "pcps = ['pcp2.5', 'pcp1.6']\n",
    "clims = ['CRU', 'ERA5']\n",
    "# when we compare between ERA5 and CRU, we have to omit region 19 because CRU has no climate date for RGI region 19!\n",
    "rgi_reg = 'all_without_19'\n",
    "missing = []\n",
    "# different match options only available for elev_bands\n",
    "\n",
    "plt.figure(figsize=(25,18))\n",
    "n = 1\n",
    "for match in ['no_match', 'match_geod']: #, 'match_geod_pergla', 'match_geod_pergla_massredis']:  # \n",
    "    for pcp, clim in zip(pcps, clims):\n",
    "        plt.subplot(4,2,n)\n",
    "        n += 1\n",
    "        try:\n",
    "            dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                              level=level,exp=exp, pcp =pcp, clim=clim, \n",
    "                                                              qc=qc,border=border, match=match,\n",
    "                                                              rgi_reg = rgi_reg,\n",
    "                                                              subplot=True, xlim=2700)\n",
    "        except:\n",
    "            missing.append(f'{level}_{exp}_{pcp}_{clim}_{match}_{qc}')\n",
    "            plt.title(f'missing: {level}_{exp}_{pcp}_{clim}_{match}_{qc}')\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Let's repeat the same for the centerlines:**\n",
    "- so far, we can only look at no_match \n",
    "- match_geod would also work with centerlines but there are no preprocessed directories for that\n",
    "- match_geod_pergla does NOT work with centerlines!!! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exp = 'centerlines'\n",
    "match = 'no_match'\n",
    "rgi_reg = 'all_without_19'\n",
    "plt.figure(figsize=(20,4))\n",
    "n = 1\n",
    "for pcp, clim in zip(pcps, clims):\n",
    "    plt.subplot(1,2,n)\n",
    "    n += 1\n",
    "    try:\n",
    "        dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                          level=level,exp=exp, pcp =pcp, clim=clim, \n",
    "                                                          qc=qc,border=border, match=match,\n",
    "                                                          rgi_reg=rgi_reg, subplot=True)\n",
    "    except:\n",
    "        missing.append(f'{level}_{exp}_{pcp}_{clim}_{match}_{qc}')\n",
    "        plt.title(f'missing: {level}_{exp}_{pcp}_{clim}_{match}_{qc}')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's have a quick look at the largest failing glaciers and their errors!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-17.15808</th>\n",
       "      <td>721.950</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-17.15808: mu* out of specified bounds: 3.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-17.15897</th>\n",
       "      <td>428.505</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-17.15897: mu* out of specified bounds: 2.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10735</th>\n",
       "      <td>392.607</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10735: mu* out of specified bounds: 0.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10634</th>\n",
       "      <td>388.067</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10634: mu* out of specified bounds: 2.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10617</th>\n",
       "      <td>373.290</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10617: mu* out of specified bounds: 3.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2    error_task  \\\n",
       "rgi_id                                       \n",
       "RGI60-17.15808       721.950  local_t_star   \n",
       "RGI60-17.15897       428.505  local_t_star   \n",
       "RGI60-05.10735       392.607  local_t_star   \n",
       "RGI60-05.10634       388.067  local_t_star   \n",
       "RGI60-05.10617       373.290  local_t_star   \n",
       "\n",
       "                                                                                     error_msg  \n",
       "rgi_id                                                                                          \n",
       "RGI60-17.15808  MassBalanceCalibrationError: RGI60-17.15808: mu* out of specified bounds: 3.30  \n",
       "RGI60-17.15897  MassBalanceCalibrationError: RGI60-17.15897: mu* out of specified bounds: 2.21  \n",
       "RGI60-05.10735  MassBalanceCalibrationError: RGI60-05.10735: mu* out of specified bounds: 0.91  \n",
       "RGI60-05.10634  MassBalanceCalibrationError: RGI60-05.10634: mu* out of specified bounds: 2.07  \n",
       "RGI60-05.10617  MassBalanceCalibrationError: RGI60-05.10617: mu* out of specified bounds: 3.45  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr[f'L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-10.00002</th>\n",
       "      <td>48.144</td>\n",
       "      <td>simple_glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-10.00002 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-15.10055</th>\n",
       "      <td>26.727</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-15.10055: mu* out of specified bounds: 10290.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-15.01996</th>\n",
       "      <td>16.642</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-15.01996: mu* out of specified bounds: 19149.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-15.04835</th>\n",
       "      <td>15.377</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-15.04835: mu* out of specified bounds: 12269.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-10.00006</th>\n",
       "      <td>12.966</td>\n",
       "      <td>simple_glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-10.00006 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2            error_task  \\\n",
       "rgi_id                                               \n",
       "RGI60-10.00002        48.144  simple_glacier_masks   \n",
       "RGI60-15.10055        26.727          local_t_star   \n",
       "RGI60-15.01996        16.642          local_t_star   \n",
       "RGI60-15.04835        15.377          local_t_star   \n",
       "RGI60-10.00006        12.966  simple_glacier_masks   \n",
       "\n",
       "                                                                                         error_msg  \n",
       "rgi_id                                                                                              \n",
       "RGI60-10.00002                                 GeometryError: RGI60-10.00002 is a nominal glacier.  \n",
       "RGI60-15.10055  MassBalanceCalibrationError: RGI60-15.10055: mu* out of specified bounds: 10290.99  \n",
       "RGI60-15.01996  MassBalanceCalibrationError: RGI60-15.01996: mu* out of specified bounds: 19149.61  \n",
       "RGI60-15.04835  MassBalanceCalibrationError: RGI60-15.04835: mu* out of specified bounds: 12269.57  \n",
       "RGI60-10.00006                                 GeometryError: RGI60-10.00006 is a nominal glacier.  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr[f'L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- for a better comparison we only look at the relative failing glacier area difference between the experiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rel_error_area_in_percent</th>\n",
       "      <th>level</th>\n",
       "      <th>exp</th>\n",
       "      <th>clim_pcp</th>\n",
       "      <th>match</th>\n",
       "      <th>qc</th>\n",
       "      <th>border</th>\n",
       "      <th>rgi_reg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19</th>\n",
       "      <td>2.460572</td>\n",
       "      <td>L5</td>\n",
       "      <td>elev_bands</td>\n",
       "      <td>CRU_pcp2.5</td>\n",
       "      <td>no_match</td>\n",
       "      <td>qc3</td>\n",
       "      <td>160</td>\n",
       "      <td>all_without_19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19</th>\n",
       "      <td>0.081001</td>\n",
       "      <td>L5</td>\n",
       "      <td>elev_bands</td>\n",
       "      <td>ERA5_pcp1.6</td>\n",
       "      <td>no_match</td>\n",
       "      <td>qc3</td>\n",
       "      <td>160</td>\n",
       "      <td>all_without_19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_all_without_19</th>\n",
       "      <td>2.460745</td>\n",
       "      <td>L5</td>\n",
       "      <td>elev_bands</td>\n",
       "      <td>CRU_pcp2.5</td>\n",
       "      <td>match_geod</td>\n",
       "      <td>qc3</td>\n",
       "      <td>160</td>\n",
       "      <td>all_without_19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L5_elev_bands_pcp1.6_ERA5_match_geod_qc3_b160_rgi_all_without_19</th>\n",
       "      <td>0.081299</td>\n",
       "      <td>L5</td>\n",
       "      <td>elev_bands</td>\n",
       "      <td>ERA5_pcp1.6</td>\n",
       "      <td>match_geod</td>\n",
       "      <td>qc3</td>\n",
       "      <td>160</td>\n",
       "      <td>all_without_19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L5_centerlines_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19</th>\n",
       "      <td>3.273621</td>\n",
       "      <td>L5</td>\n",
       "      <td>centerlines</td>\n",
       "      <td>CRU_pcp2.5</td>\n",
       "      <td>no_match</td>\n",
       "      <td>qc3</td>\n",
       "      <td>160</td>\n",
       "      <td>all_without_19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L5_centerlines_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19</th>\n",
       "      <td>0.936732</td>\n",
       "      <td>L5</td>\n",
       "      <td>centerlines</td>\n",
       "      <td>ERA5_pcp1.6</td>\n",
       "      <td>no_match</td>\n",
       "      <td>qc3</td>\n",
       "      <td>160</td>\n",
       "      <td>all_without_19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                 rel_error_area_in_percent  \\\n",
       "L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19                     2.460572   \n",
       "L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19                    0.081001   \n",
       "L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_all_without_19                   2.460745   \n",
       "L5_elev_bands_pcp1.6_ERA5_match_geod_qc3_b160_rgi_all_without_19                  0.081299   \n",
       "L5_centerlines_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19                    3.273621   \n",
       "L5_centerlines_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19                   0.936732   \n",
       "\n",
       "                                                                 level  \\\n",
       "L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19       L5   \n",
       "L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19      L5   \n",
       "L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_all_without_19     L5   \n",
       "L5_elev_bands_pcp1.6_ERA5_match_geod_qc3_b160_rgi_all_without_19    L5   \n",
       "L5_centerlines_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19      L5   \n",
       "L5_centerlines_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19     L5   \n",
       "\n",
       "                                                                          exp  \\\n",
       "L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19      elev_bands   \n",
       "L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19     elev_bands   \n",
       "L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_all_without_19    elev_bands   \n",
       "L5_elev_bands_pcp1.6_ERA5_match_geod_qc3_b160_rgi_all_without_19   elev_bands   \n",
       "L5_centerlines_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19    centerlines   \n",
       "L5_centerlines_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19   centerlines   \n",
       "\n",
       "                                                                     clim_pcp  \\\n",
       "L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19      CRU_pcp2.5   \n",
       "L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19    ERA5_pcp1.6   \n",
       "L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_all_without_19    CRU_pcp2.5   \n",
       "L5_elev_bands_pcp1.6_ERA5_match_geod_qc3_b160_rgi_all_without_19  ERA5_pcp1.6   \n",
       "L5_centerlines_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19     CRU_pcp2.5   \n",
       "L5_centerlines_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19   ERA5_pcp1.6   \n",
       "\n",
       "                                                                       match  \\\n",
       "L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19       no_match   \n",
       "L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19      no_match   \n",
       "L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_all_without_19   match_geod   \n",
       "L5_elev_bands_pcp1.6_ERA5_match_geod_qc3_b160_rgi_all_without_19  match_geod   \n",
       "L5_centerlines_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19      no_match   \n",
       "L5_centerlines_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19     no_match   \n",
       "\n",
       "                                                                   qc border  \\\n",
       "L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19     qc3    160   \n",
       "L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19    qc3    160   \n",
       "L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_all_without_19   qc3    160   \n",
       "L5_elev_bands_pcp1.6_ERA5_match_geod_qc3_b160_rgi_all_without_19  qc3    160   \n",
       "L5_centerlines_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19    qc3    160   \n",
       "L5_centerlines_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19   qc3    160   \n",
       "\n",
       "                                                                         rgi_reg  \n",
       "L5_elev_bands_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19     all_without_19  \n",
       "L5_elev_bands_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19    all_without_19  \n",
       "L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_all_without_19   all_without_19  \n",
       "L5_elev_bands_pcp1.6_ERA5_match_geod_qc3_b160_rgi_all_without_19  all_without_19  \n",
       "L5_centerlines_pcp2.5_CRU_no_match_qc3_b160_rgi_all_without_19    all_without_19  \n",
       "L5_centerlines_pcp1.6_ERA5_no_match_qc3_b160_rgi_all_without_19   all_without_19  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get only the errors from preprocessing level L5\n",
    "pd_rel_error_area_L5 = pd_rel_error_area[(pd_rel_error_area.level == 'L5') & (pd_rel_error_area.rgi_reg =='all_without_19')]\n",
    "pd_rel_error_area_L5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot this in a nicer way!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 863.98x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(y=\"match\", x=\"rel_error_area_in_percent\", data=pd_rel_error_area_L5,\n",
    "            hue='clim_pcp', orient='h', col='exp',\n",
    "           kind='bar', palette='Greys') #['Black', 'Grey'])\n",
    "plt.xlim([0,3.5])\n",
    "plt.suptitle(\"Relative glacier area with missing glaciers for preprocessing level L5, qc3, border=160, rgi_reg = 'all_without_19'\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- there is a short description of all findings [right here](#id-total-error-area-summary)!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's now repeat the same for preprocesed directories without climate quality check and correction (qc0)\n",
    "- for `match_geod_pergla` and for `match_geod_pergla_massredis`, only qc0 is used! \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1296 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "qc = 'qc0'\n",
    "level = 'L5'\n",
    "pcp = 'pcp2.5' \n",
    "clim = 'CRU' #, 'ERA5']\n",
    "exp = 'elev_bands' #, 'centerlines']:\n",
    "rgi_reg = 'all_without_19'\n",
    "\n",
    "missing = []\n",
    "# different match options only available for elev_bands\n",
    "\n",
    "plt.figure(figsize=(25,18))\n",
    "n = 1\n",
    "for match in ['no_match', 'match_geod', 'match_geod_pergla', 'match_geod_pergla_massredis']:  # \n",
    "    for border in [80, 160, 240]:\n",
    "        plt.subplot(4,3,n)\n",
    "        n += 1\n",
    "        try:\n",
    "            # todo remove this, when all preprocessed gdirs are inside of main oggm \n",
    "            if 'match_geod_pergla' in match:\n",
    "                path = '/home/www/oggm/gdirs/oggm_v1.6/'\n",
    "            else:\n",
    "                path = '/home/www/oggm/gdirs/oggm_v1.4/'\n",
    "            dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                              level=level,exp=exp, pcp =pcp, clim=clim, \n",
    "                                                              qc=qc,border=border, match=match,path=path,\n",
    "                                                              rgi_reg=rgi_reg, subplot=True, xlim=8000)\n",
    "\n",
    "        except:\n",
    "            missing.append(f'{level}_{exp}_{pcp}_{clim}_{match}_{qc}_b{border}')\n",
    "            plt.title(f'missing: {level}_{exp}_{pcp}_{clim}_{match}_{qc}_b{border}')\n",
    "plt.tight_layout()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- a larger domain (border = 240 instead of border=80), does not always result in smaller amount of errors. \n",
    "    - a https error coming from the DEM being too large could occur if the border is set too large! (see largest errors for b240 below). This is an error that could be solved, but only occurs rarely and is not important on global scales where the border is set to 80 or 160 anyways!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x648 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's also plot this for ERA5!!!\n",
    "qc = 'qc0'\n",
    "level = 'L5'\n",
    "pcp = 'pcp1.6' \n",
    "clim = 'ERA5' #, 'ERA5']\n",
    "exp = 'elev_bands' #, 'centerlines']:\n",
    "rgi_reg = 'all_without_19'\n",
    "\n",
    "missing = []\n",
    "# different match options only available for elev_bands\n",
    "\n",
    "plt.figure(figsize=(25,9))\n",
    "n = 1\n",
    "#  no qc0 for ERA5 for the other match options at the moment\n",
    "for match in ['match_geod_pergla', 'match_geod_pergla_massredis']:  \n",
    "    for border in [80, 160, 240]:\n",
    "        plt.subplot(2,3,n)\n",
    "        n += 1\n",
    "        try:\n",
    "            # todo remove this, when all preprocessed gdirs are inside of same oggm folder \n",
    "            if 'match_geod_pergla' in match:\n",
    "                path = '/home/www/oggm/gdirs/oggm_v1.6/'\n",
    "            else:\n",
    "                path = '/home/www/oggm/gdirs/oggm_v1.4/'\n",
    "            dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                              level=level,exp=exp, pcp =pcp, clim=clim, \n",
    "                                                              qc=qc,border=border, match=match,path=path,\n",
    "                                                              rgi_reg=rgi_reg, subplot=True, xlim=500)\n",
    "\n",
    "        except:\n",
    "            missing.append(f'{level}_{exp}_{pcp}_{clim}_{match}_{qc}_b{border}')\n",
    "            plt.title(f'missing: {level}_{exp}_{pcp}_{clim}_{match}_{qc}_b{border}')\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's get all level 5 statistics (for both, qc0 and qc3!)\n",
    "pd_rel_error_area_L5 = pd_rel_error_area[(pd_rel_error_area.level == 'L5') & (pd_rel_error_area.rgi_reg =='all_without_19')]\n",
    "# we only use border = 80 for qc0 as this is the option where most preprocessed directories are available\n",
    "condi1 = ((pd_rel_error_area_L5.border == 80) & (pd_rel_error_area_L5.qc=='qc0'))\n",
    "# we only use border = 160 for qc3 as this is the option where most preprocessed directories are available\n",
    "condi2 = ((pd_rel_error_area_L5.border == 160) & (pd_rel_error_area_L5.qc=='qc3'))\n",
    "condi3 = ((pd_rel_error_area_L5.border == 160) & (pd_rel_error_area_L5.qc=='qc0') & (pd_rel_error_area_L5.match == 'match_geod_pergla'))\n",
    "\n",
    "pd_rel_error_area_L5 = pd_rel_error_area_L5[condi1 | condi2 | condi3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='id-total-error-area-summary'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1361.39x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale = 1.4)\n",
    "sns.set_style('whitegrid')\n",
    "pd_rel_error_area_L5['clim_pcp_qc_border'] = np.NaN\n",
    "_hue = pd_rel_error_area_L5['clim_pcp'].values+'_'+pd_rel_error_area_L5['qc'].values+'_b'+ pd_rel_error_area_L5['border'].values.astype(str)\n",
    "pd_rel_error_area_L5['clim_pcp_qc_border'] = _hue\n",
    "pd_rel_error_area_L5 = pd_rel_error_area_L5.sort_values('clim_pcp_qc_border')\n",
    "\n",
    "sns.catplot(y=\"match\", x=\"rel_error_area_in_percent\", data=pd_rel_error_area_L5,\n",
    "            hue='clim_pcp_qc_border', orient='h', col='exp',\n",
    "           kind='bar', palette='Greys',\n",
    "           height=6, aspect=1.3)\n",
    "plt.suptitle(\"Relative glacier area with failing glaciers for preprocessing level L5 (all RGI regions except RGI 19)\")\n",
    "ax = plt.gca()\n",
    "plt.xlim([0,3.5])\n",
    "plt.tight_layout();\n",
    "plt.savefig('relative_failing_glacier_area.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By plotting the different error types and the relative failing glacier area, we can conclude:\n",
    "- with CRU much more glaciers and glacier area fail than with ERA5\n",
    "    - for CRU, the main errors are coming from local_t_star or mu_star_calibration_from_geodetic_mb, hence from the MB calibration\n",
    "    - for ERA5, more errors come from (simple_)glacier_masks or elevation_band_flowline (which are those errors that occur already in pre-processing Level 2)\n",
    "- using centerlines results in more errors than using elevation band flowlines\n",
    "- from the different match options to calibrate the mass-balance, 'no_match' and 'match_geod' result in more errors than 'match_geod_pergla', specifically when using CRU\n",
    "- 'match_geod_pergla_massredis' has around the same amount of errors / relative failing glacier area as 'match_geod_pergla', except for RGI region 19 where using a mass redistribution instead of the SIA results in a 4\\*larger failing glacier area (see more [here](#id-rgi-19))\n",
    "- not applying any quality checks and climate corrections results in slightly less (for no_match or match_geod):\n",
    "    - For all RGI regions except RGI region 05 (and RGI 19 because this is not available for CRU), qc0 results, however, in equal or more errors.\n",
    "    - The large failing glacier area in RGI region 05 (i.e. the largest RGI glacier region) when using qc3 results in the global estimate that qc0 has in total less failing glacier area than qc3.\n",
    "    - note that for match_geod_pergla, an internal quality check and climate correction is always done if the mu_star is not in the specified bound (20, 600). Therefore, no qc3 exists for them.\n",
    "    - (see more [here](#id-rgi-diff))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Method to get those glaciers that work for all preprocessed glacier directories? This is important when later trying to compare volume estimates between each other!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_geodetic = utils.get_geodetic_mb_dataframe()[utils.get_geodetic_mb_dataframe().period=='2000-01-01_2020-01-01']\n",
    "# we do not model RGI region 19 because we want to compare it to CRU!!! \n",
    "pd_geodetic = pd_geodetic[pd_geodetic.reg != 19]\n",
    "\n",
    "total_area = pd_geodetic.area.sum()\n",
    "total_counts = len(pd_geodetic)\n",
    "# pd_geodetic.area\n",
    "pd_working = pd.DataFrame(index = pd_geodetic.index,\n",
    "                        columns=dfserr.keys())\n",
    "# we will set those that are not running afterwards to np.NaN value\n",
    "pd_working.loc[pd_geodetic.index] = True\n",
    "pd_working['area'] = pd_geodetic.area\n",
    "pd_working['all_running_rgis'] = np.NaN\n",
    "pd_working['rgi_reg'] = pd_geodetic.reg\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "for key in dfserr.keys():\n",
    "    if 'rgi_all_without_19' in key: \n",
    "        failing_rgis = dfserr[key].index.values\n",
    "\n",
    "        # pd_error[cmip6_output_type] = False\n",
    "        # set those glaciers that did not work to np.NaN\n",
    "        pd_working.loc[failing_rgis,key] = np.NaN\n",
    "        \n",
    "        # check if it worked\n",
    "        assert len(failing_rgis) == len(pd_working.loc[pd_working[key].isna()])\n",
    "    else:\n",
    "        pd_working = pd_working.drop(columns=key)\n",
    "        pass\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_running_rgis = pd_working[pd_working.columns[:-3]].dropna().index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_working.loc[all_running_rgis, 'all_running_rgis'] = True\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amount of glaciers (without Antarctica RGI region 19) that run without glaciers for all compared preprocessed gdirs: 201973\n",
      "Relative percentage of glacier amount where all analysed L5 preprocessed gdirs do not fail: 94.91%\n",
      "Relative percentage of glacier area where all analysed L5 preprocessed gdirs do not fail: 94.27%\n"
     ]
    }
   ],
   "source": [
    "all_running_rel = len(all_running_rgis)*100/len(pd_geodetic)\n",
    "all_running_rel_area = pd_working.loc[all_running_rgis].area.sum()*100/pd_working.area.sum()\n",
    "\n",
    "print(f'Amount of glaciers (without Antarctica RGI region 19) that run without glaciers for all compared preprocessed gdirs: {len(all_running_rgis)}')\n",
    "print(f'Relative percentage of glacier amount where all analysed L5 preprocessed gdirs do not fail: {all_running_rel:0.2f}%')\n",
    "print(f'Relative percentage of glacier area where all analysed L5 preprocessed gdirs do not fail: {all_running_rel_area:0.2f}%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_rel_error_area_L5.to_csv('rel_error_area_statistics_for_prepro_level5_gdirs.csv')\n",
    "pd_working.to_csv('working_rgis_for_prepro_level5_gdirs.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use this working glacier list in [this notebook which analyses the volume, mass change and specific mass balance differences between the preprocessed gdir options](https://nbviewer.org/urls/cluster.klima.uni-bremen.de/~lschuster/error_analysis/working_glacier_gdirs_comparison.ipynb?flush_cache=true). Feel free to check it out afterwards!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Regional RGI error check for the different options:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [],
   "source": [
    "level = 'L5'\n",
    "exp = 'elev_bands' #, 'centerlines']:\n",
    "\n",
    "dfserr_reg = {}\n",
    "pd_rel_error_area_reg = pd.DataFrame(columns=['rel_error_area_in_percent', 'level', 'exp',\n",
    "                                              'clim_pcp', 'match', 'qc', 'border', 'rgi_reg'])\n",
    "\n",
    "missing = []\n",
    "# different match options only available for elev_bands\n",
    "for pcp, clim in zip(pcps, clims):\n",
    "    for match in ['no_match', 'match_geod', 'match_geod_pergla', 'match_geod_pergla_massredis']:  # \n",
    "        for qc in ['qc0', 'qc3']:\n",
    "            for rgi_reg in np.arange(0,21,1):\n",
    "                if 0<rgi_reg <10:\n",
    "                    rgi_reg = f'0{rgi_reg}'\n",
    "                elif rgi_reg == 0:\n",
    "                    rgi_reg = 'all_without_19'\n",
    "                elif rgi_reg == 20:\n",
    "                    rgi_reg = 'all'\n",
    "                else:\n",
    "                    rgi_reg = str(rgi_reg)\n",
    "                if qc == 'qc0':\n",
    "                    border = 80\n",
    "                else:\n",
    "                    border = 160\n",
    "                try:\n",
    "                    # todo remove this, when all preprocessed gdirs are inside of main oggm \n",
    "                    if 'match_geod_pergla' in match:\n",
    "                        path = '/home/www/oggm/gdirs/oggm_v1.6/'\n",
    "                    else:\n",
    "                        path = '/home/www/oggm/gdirs/oggm_v1.4/'\n",
    "                    dfserr_reg, pd_rel_error_area_reg = error_analysis_w_plot(dfserr=dfserr_reg, pd_rel_error_area=pd_rel_error_area_reg,\n",
    "                                                                      level=level,exp=exp, pcp =pcp, clim=clim, \n",
    "                                                                      qc=qc,border=border, match=match, path=path,\n",
    "                                                                      rgi_reg=rgi_reg, plot = False)\n",
    "\n",
    "                except:\n",
    "                    missing.append(f'{level}_{exp}_{pcp}_{clim}_{match}_{qc}_b{border}_rgi_{rgi_reg}')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='id-rgi-diff'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2016x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clim = 'CRU'\n",
    "pcp = '2.5'\n",
    "pd_rel_error_area_reg_clim = pd_rel_error_area_reg.loc[pd_rel_error_area_reg.clim_pcp == f'{clim}_pcp{pcp}']\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_clim[pd_rel_error_area_reg_clim.qc == 'qc0']\n",
    "pd_rel_error_area_reg_qc0.index = pd_rel_error_area_reg_qc0['rgi_reg']\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0[['rel_error_area_in_percent','match']]\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0.pivot(columns=['match'])\n",
    "pd_rel_error_area_reg_qc0.columns = pd_rel_error_area_reg_qc0.columns.droplevel(0)\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0.astype(\"float32\")\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0[['no_match', 'match_geod', 'match_geod_pergla', 'match_geod_pergla_massredis']]\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0.rename({'all_without_19':'all'})\n",
    "pd_rel_error_area_reg_qc0= pd_rel_error_area_reg_qc0.rename(columns={'match_geod_pergla_massredis': 'match_geod_pergla\\nmassredis'})\n",
    "\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_clim[pd_rel_error_area_reg_clim.qc == 'qc3']\n",
    "pd_rel_error_area_reg_qc3.index = pd_rel_error_area_reg_qc3['rgi_reg']\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_qc3[['rel_error_area_in_percent','match']]\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_qc3.pivot(columns=['match'])\n",
    "pd_rel_error_area_reg_qc3.columns = pd_rel_error_area_reg_qc3.columns.droplevel(0)\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_qc3.astype(\"float32\")\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_qc3[['no_match', 'match_geod']] #, 'match_geod_pergla']]\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_qc3.rename({'all_without_19':'all'})\n",
    "sns.set(font_scale = 1.3)\n",
    "plt.figure(figsize=(28,10))\n",
    "plt.suptitle(f'Relative failing glacier area per RGI region (using {clim})', fontsize=24)\n",
    "plt.subplot(121)\n",
    "plt.title('using no climate check and correction (qc0)', fontsize=22)\n",
    "sns.heatmap(pd_rel_error_area_reg_qc0,\n",
    "            linewidths=.5, cmap=\"PuRd\", cbar_kws={'label':'relative failing glacier area (in %)'},\n",
    "           annot=True, fmt=\".2f\")\n",
    "ax = plt.gca()\n",
    "ax.figure.axes[-1].yaxis.label.set_size(18)\n",
    "ax.set_ylabel('RGI region (without RGI region 19)', fontsize=20);\n",
    "ax.set_xlabel('MB calibration type or other methods', fontsize=20)\n",
    "plt.subplot(122)\n",
    "plt.title('difference between qc0 and qc3', fontsize=22)\n",
    "\n",
    "sns.heatmap(pd_rel_error_area_reg_qc0.drop(columns=['match_geod_pergla','match_geod_pergla\\nmassredis']) - pd_rel_error_area_reg_qc3,\n",
    "            linewidths=.5, cmap='coolwarm', \n",
    "            cbar_kws={'label':'relative failing glacier area difference (in %)\\n (qc0-qc3)'},\n",
    "           annot=True,center=0, fmt=\".2f\")\n",
    "ax = plt.gca()\n",
    "ax.figure.axes[-1].yaxis.label.set_size(18)\n",
    "ax.set_ylabel('');\n",
    "ax.set_xlabel('MB calibration type', fontsize=20)\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- `no_match` and `match_geod` have almost the same amount of relative failing glacier area\n",
    "- with `qc0`, most relative glacier area fails in:\n",
    "    - RGI region 5, 16, 17, 10 (descending order) with more MB calibration errors if using the no_match or match_geod options!\n",
    "    - RGI region 12 mostly from missing outlines of nominal glaciers\n",
    "    - RGI region 13 if using the match_geod_pergla method (no mu* could be found even when correcting the climate, which happens in that case for both qc0 and qc3!)\n",
    "- differences between qc0 and qc3:\n",
    "    - only in RGI region 5 (Greenland) more glaciers fail when using qc3, but RGI region 5 is the RGI region with the largest glacier area!!!\n",
    "    - for all other RGI regions, more glaciers fail with qc0 (specifically for RGI region 16 & 10, where there are more MB calibration errors for qc0 than for qc3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**RGI region 13 check**\n",
    "\n",
    "- What is so specific in RGI region 13 that **match_geod_pergla** works less good using CRU specifically (more than twice as much errors and 3\\*times as much area, see below) than when using the direct reference glacier calibration data (no_match)?\n",
    "    - The problem is actually that precipitation is so low for these glaciers, that it can not reproduce the observed geodetic **positive** specific mass balance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-13.37825</th>\n",
       "      <td>51.478</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.54059</th>\n",
       "      <td>42.521</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.37587</th>\n",
       "      <td>32.259</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.53668</th>\n",
       "      <td>29.870</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.38833</th>\n",
       "      <td>27.602</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2                            error_task  \\\n",
       "rgi_id                                                               \n",
       "RGI60-13.37825        51.478  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.54059        42.521  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.37587        32.259  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.53668        29.870  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.38833        27.602  mu_star_calibration_from_geodetic_mb   \n",
       "\n",
       "                                                                                                                                     error_msg  \n",
       "rgi_id                                                                                                                                          \n",
       "RGI60-13.37825  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.54059  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.37587  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.53668  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.38833  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_pergla_qc0_b80_rgi_13'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'dmdtda')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(pd_geodetic.loc[dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_pergla_qc0_b80_rgi_13'].index].dmdtda)\n",
    "plt.xlabel('dmdtda')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- all failing glaciers have a positive mass balance. This is the reason that glaciers are failing. \n",
    "    - maybe a larger precipitation factor for CRU would be necessary in this region specifically !!!\n",
    "    - If we use instead ERA5 (see below), much less glaciers fail in this region!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "with match_geod_pergla:\n",
      "amount of glaciers failing in RGI 13: 2357\n",
      "failing glacier area in RGI 13:  2653.1 km2\n"
     ]
    }
   ],
   "source": [
    "print('with match_geod_pergla:')\n",
    "print(f\"amount of glaciers failing in RGI 13: {len(dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_pergla_qc0_b80_rgi_13'])}\")\n",
    "print(f\"failing glacier area in RGI 13:  {dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_pergla_qc0_b80_rgi_13'].rgi_area_km2.sum():0.1f} km2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-13.38733</th>\n",
       "      <td>30.849</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-13.38733: mu* out of specified bounds: 3.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.38742</th>\n",
       "      <td>20.997</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-13.38742: mu* out of specified bounds: 4.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.38768</th>\n",
       "      <td>18.447</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-13.38768: mu* out of specified bounds: 4.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.38924</th>\n",
       "      <td>13.702</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-13.38924: mu* out of specified bounds: 4.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.37368</th>\n",
       "      <td>13.572</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-13.37368: mu* out of specified bounds: 2.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2    error_task  \\\n",
       "rgi_id                                       \n",
       "RGI60-13.38733        30.849  local_t_star   \n",
       "RGI60-13.38742        20.997  local_t_star   \n",
       "RGI60-13.38768        18.447  local_t_star   \n",
       "RGI60-13.38924        13.702  local_t_star   \n",
       "RGI60-13.37368        13.572  local_t_star   \n",
       "\n",
       "                                                                                     error_msg  \n",
       "rgi_id                                                                                          \n",
       "RGI60-13.38733  MassBalanceCalibrationError: RGI60-13.38733: mu* out of specified bounds: 3.57  \n",
       "RGI60-13.38742  MassBalanceCalibrationError: RGI60-13.38742: mu* out of specified bounds: 4.26  \n",
       "RGI60-13.38768  MassBalanceCalibrationError: RGI60-13.38768: mu* out of specified bounds: 4.19  \n",
       "RGI60-13.38924  MassBalanceCalibrationError: RGI60-13.38924: mu* out of specified bounds: 4.51  \n",
       "RGI60-13.37368  MassBalanceCalibrationError: RGI60-13.37368: mu* out of specified bounds: 2.67  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what are the glaciers failing for no match???\n",
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_no_match_qc0_b80_rgi_13'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "with no_match:\n",
      "amount of glaciers failing in RGI 13: 1015\n",
      "failing glacier area in RGI 13:  826.3 km2\n"
     ]
    }
   ],
   "source": [
    "print('with no_match:')\n",
    "print(f\"amount of glaciers failing in RGI 13: {len(dfserr_reg['L5_elev_bands_pcp2.5_CRU_no_match_qc0_b80_rgi_13'])}\")\n",
    "print(f\"failing glacier area in RGI 13:  {dfserr_reg['L5_elev_bands_pcp2.5_CRU_no_match_qc0_b80_rgi_13'].rgi_area_km2.sum():0.1f} km2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's get a list of only those that fail for match_geod_pergla, but not for no_match!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1980629/3363420844.py:3: FutureWarning: Index.__and__ operating as a set operation is deprecated, in the future this will be a logical operation matching Series.__and__.  Use index.intersection(other) instead\n",
      "  rgi_fail_both = rgi_fail_no_match & rgi_fail_match_geod_pergla\n"
     ]
    }
   ],
   "source": [
    "rgi_fail_no_match = dfserr_reg['L5_elev_bands_pcp2.5_CRU_no_match_qc0_b80_rgi_13'].index\n",
    "rgi_fail_match_geod_pergla = dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_pergla_qc0_b80_rgi_13'].index.values\n",
    "rgi_fail_both = rgi_fail_no_match & rgi_fail_match_geod_pergla\n",
    "pd_failing_rgi13_pergla = dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_pergla_qc0_b80_rgi_13']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-13.37825</th>\n",
       "      <td>51.478</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.54059</th>\n",
       "      <td>42.521</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.37587</th>\n",
       "      <td>32.259</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.53668</th>\n",
       "      <td>29.870</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.38833</th>\n",
       "      <td>27.602</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.52437</th>\n",
       "      <td>0.015</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.51818</th>\n",
       "      <td>0.015</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.52388</th>\n",
       "      <td>0.013</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.52461</th>\n",
       "      <td>0.012</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.52143</th>\n",
       "      <td>0.012</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1860 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2                            error_task  \\\n",
       "rgi_id                                                               \n",
       "RGI60-13.37825        51.478  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.54059        42.521  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.37587        32.259  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.53668        29.870  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.38833        27.602  mu_star_calibration_from_geodetic_mb   \n",
       "...                      ...                                   ...   \n",
       "RGI60-13.52437         0.015  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.51818         0.015  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.52388         0.013  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.52461         0.012  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.52143         0.012  mu_star_calibration_from_geodetic_mb   \n",
       "\n",
       "                                                                                                                                     error_msg  \n",
       "rgi_id                                                                                                                                          \n",
       "RGI60-13.37825  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.54059  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.37587  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.53668  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.38833  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "...                                                                                                                                        ...  \n",
       "RGI60-13.52437  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.51818  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.52388  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.52461  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.52143  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "\n",
       "[1860 rows x 3 columns]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_failing_rgi13_pergla.drop(rgi_fail_both)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is not just one glacier that does not work with the match_geod_pergla method, but rather a lot of different mid-size glaciers. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**RGI region 5 check**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
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       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10988</th>\n",
       "      <td>207.766</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10988: mu* out of specified bounds: 3.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.11001</th>\n",
       "      <td>182.955</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.11001: mu* out of specified bounds: 1.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10885</th>\n",
       "      <td>170.533</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10885: mu* out of specified bounds: 3.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10615</th>\n",
       "      <td>167.934</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10615: mu* out of specified bounds: 3.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.11026</th>\n",
       "      <td>160.435</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.11026: mu* out of specified bounds: 1.59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2    error_task  \\\n",
       "rgi_id                                       \n",
       "RGI60-05.10988       207.766  local_t_star   \n",
       "RGI60-05.11001       182.955  local_t_star   \n",
       "RGI60-05.10885       170.533  local_t_star   \n",
       "RGI60-05.10615       167.934  local_t_star   \n",
       "RGI60-05.11026       160.435  local_t_star   \n",
       "\n",
       "                                                                                     error_msg  \n",
       "rgi_id                                                                                          \n",
       "RGI60-05.10988  MassBalanceCalibrationError: RGI60-05.10988: mu* out of specified bounds: 3.31  \n",
       "RGI60-05.11001  MassBalanceCalibrationError: RGI60-05.11001: mu* out of specified bounds: 1.59  \n",
       "RGI60-05.10885  MassBalanceCalibrationError: RGI60-05.10885: mu* out of specified bounds: 3.18  \n",
       "RGI60-05.10615  MassBalanceCalibrationError: RGI60-05.10615: mu* out of specified bounds: 3.01  \n",
       "RGI60-05.11026  MassBalanceCalibrationError: RGI60-05.11026: mu* out of specified bounds: 1.59  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_qc0_b80_rgi_05'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10735</th>\n",
       "      <td>392.607</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10735: mu* out of specified bounds: 0.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10634</th>\n",
       "      <td>388.067</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10634: mu* out of specified bounds: 2.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10617</th>\n",
       "      <td>373.290</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10617: mu* out of specified bounds: 3.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10762</th>\n",
       "      <td>309.061</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10762: mu* out of specified bounds: 1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-05.10988</th>\n",
       "      <td>207.766</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-05.10988: mu* out of specified bounds: 1.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2    error_task  \\\n",
       "rgi_id                                       \n",
       "RGI60-05.10735       392.607  local_t_star   \n",
       "RGI60-05.10634       388.067  local_t_star   \n",
       "RGI60-05.10617       373.290  local_t_star   \n",
       "RGI60-05.10762       309.061  local_t_star   \n",
       "RGI60-05.10988       207.766  local_t_star   \n",
       "\n",
       "                                                                                     error_msg  \n",
       "rgi_id                                                                                          \n",
       "RGI60-05.10735  MassBalanceCalibrationError: RGI60-05.10735: mu* out of specified bounds: 0.91  \n",
       "RGI60-05.10634  MassBalanceCalibrationError: RGI60-05.10634: mu* out of specified bounds: 2.07  \n",
       "RGI60-05.10617  MassBalanceCalibrationError: RGI60-05.10617: mu* out of specified bounds: 3.45  \n",
       "RGI60-05.10762  MassBalanceCalibrationError: RGI60-05.10762: mu* out of specified bounds: 1.34  \n",
       "RGI60-05.10988  MassBalanceCalibrationError: RGI60-05.10988: mu* out of specified bounds: 1.25  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_05'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'MassBalanceCalibrationError: RGI60-05.10735: mu* out of specified bounds: 0.91'"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_05']['error_msg'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9165.776"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_qc0_b80_rgi_05'].rgi_area_km2.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11154.001"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_05'].rgi_area_km2.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- around 20% more glacier area fails with qc3 in RGI reg 5 (with match_geod and CRU), because of bigger glaciers with MassBalanceCalibrationErrors!!!."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**RGI region 16 check**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-16.01443</th>\n",
       "      <td>10.263</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-16.01443: mu* out of specified bounds: 4.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-16.01473</th>\n",
       "      <td>7.372</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-16.01473: mu* out of specified bounds: 71516.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-16.00410</th>\n",
       "      <td>6.440</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-16.00410: mu* out of specified bounds: 0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-16.01483</th>\n",
       "      <td>5.482</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-16.01483: mu* out of specified bounds: 109115.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-16.01394</th>\n",
       "      <td>5.454</td>\n",
       "      <td>local_t_star</td>\n",
       "      <td>MassBalanceCalibrationError: RGI60-16.01394: mu* out of specified bounds: 0.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2    error_task  \\\n",
       "rgi_id                                       \n",
       "RGI60-16.01443        10.263  local_t_star   \n",
       "RGI60-16.01473         7.372  local_t_star   \n",
       "RGI60-16.00410         6.440  local_t_star   \n",
       "RGI60-16.01483         5.482  local_t_star   \n",
       "RGI60-16.01394         5.454  local_t_star   \n",
       "\n",
       "                                                                                          error_msg  \n",
       "rgi_id                                                                                               \n",
       "RGI60-16.01443       MassBalanceCalibrationError: RGI60-16.01443: mu* out of specified bounds: 4.91  \n",
       "RGI60-16.01473   MassBalanceCalibrationError: RGI60-16.01473: mu* out of specified bounds: 71516.08  \n",
       "RGI60-16.00410       MassBalanceCalibrationError: RGI60-16.00410: mu* out of specified bounds: 0.84  \n",
       "RGI60-16.01483  MassBalanceCalibrationError: RGI60-16.01483: mu* out of specified bounds: 109115.38  \n",
       "RGI60-16.01394       MassBalanceCalibrationError: RGI60-16.01394: mu* out of specified bounds: 0.02  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_qc0_b80_rgi_16'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "267.156"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_qc0_b80_rgi_16'].rgi_area_km2.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "176.732"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr_reg['L5_elev_bands_pcp2.5_CRU_match_geod_qc3_b160_rgi_16'].rgi_area_km2.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- there is around 50% more failing glacier area for qc0 than for qc3 (with match_geod and CRU)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's repeat this with ERA5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "clim = 'ERA5'\n",
    "pcp = '1.6'\n",
    "pd_rel_error_area_reg_clim = pd_rel_error_area_reg.loc[pd_rel_error_area_reg.clim_pcp == f'{clim}_pcp{pcp}']\n",
    "\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_clim[pd_rel_error_area_reg_clim.qc == 'qc0']\n",
    "\n",
    "pd_rel_error_area_reg_qc0.index = pd_rel_error_area_reg_qc0['rgi_reg']\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0[['rel_error_area_in_percent','match']]\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0.pivot(columns=['match'])\n",
    "pd_rel_error_area_reg_qc0.columns = pd_rel_error_area_reg_qc0.columns.droplevel(0)\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0.astype(\"float32\")\n",
    "pd_rel_error_area_reg_qc0 = pd_rel_error_area_reg_qc0[['match_geod_pergla', 'match_geod_pergla_massredis']]\n",
    "pd_rel_error_area_reg_qc0= pd_rel_error_area_reg_qc0.rename(columns={'match_geod_pergla_massredis':\n",
    "                                                                     'match_geod_pergla\\nmassredis'})\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_clim[pd_rel_error_area_reg_clim.qc == 'qc3']\n",
    "pd_rel_error_area_reg_qc3.index = pd_rel_error_area_reg_qc3['rgi_reg']\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_qc3[['rel_error_area_in_percent','match']]\n",
    "pd_rel_error_area_reg_qc3 = pd_rel_error_area_reg_qc3.pivot(columns=['match'])\n",
    "pd_rel_error_area_reg_qc3.columns = pd_rel_error_area_reg_qc3.columns.droplevel(0)\n",
    "\n",
    "pd_rel_error_area_reg_best = pd.concat([pd_rel_error_area_reg_qc3, pd_rel_error_area_reg_qc0], axis=1)\n",
    "pd_rel_error_area_reg_best = pd_rel_error_area_reg_best.rename(columns= {'no_match':'no_match\\n(qc3)', 'match_geod' : 'match_geod\\n(qc3)',\n",
    "                                                               'match_geod_pergla': 'match_geod_pergla\\n(qc0)',\n",
    "                                                               'match_geod_pergla\\nmassredis': 'match_geod_pergla\\nmassredis (qc0)'})\n",
    "pd_rel_error_area_reg_best = pd_rel_error_area_reg_best.astype(\"float32\")\n",
    "\n",
    "plt.figure(figsize=(14,10))\n",
    "plt.suptitle(f'Relative failing glacier area per RGI region (using {clim})', fontsize=24)\n",
    "#plt.subplot(121)\n",
    "#plt.title('using no climate check and correction (qc0)', fontsize=22)\n",
    "sns.heatmap(pd_rel_error_area_reg_best,\n",
    "            linewidths=.5, cmap=\"PuRd\", cbar_kws={'label':'relative failing glacier area (in %)'},\n",
    "           annot=True, fmt=\".2f\")\n",
    "ax = plt.gca()\n",
    "ax.figure.axes[-1].yaxis.label.set_size(18)\n",
    "ax.set_ylabel('RGI region (without RGI region 19)', fontsize=20);\n",
    "ax.set_xlabel('MB calibration type or other methods', fontsize=20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 46.159375, 'MB calibration type or other methods')"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oqPQufkxMDCZOnIg3b95g6NChOH36NO7cuYPbt2/j+PHjsLe3x7Nnz+Du7l7g4ueTTz7Bt99+iz///BOhoaHSsh06dAj29vZ49eoVZsyYUeIWkHPnzuGvv/7C3LlzERwcjKCgIJw5c0baO2Du3LmFfv/Nnj0bV69eRaNGjbBt2zaEhoYiODgYN2/exLRp06CtrY2lS5dKWxfyO336NC5duoTvv/8ewcHBCAwMxNWrVwt8T5eUpAICFPzuByCdVfCLL76QO6GEkFQVP15eXggICIC2tjbmzZsnfa3/+usvODg4yHwXK2L58uW4fPkydHV18eOPP+LWrVsICgqCv78/bG1t8e7dO8yYMQNRUVGFpn/16hUWLVqEoUOH4vLlywgKCkJgYKC0pW3Pnj149OiRQmV6+PAhkpOToa2tjc8//7xE51WUDRs2IC4uDp9++in27duHsLAw6ffm8ePHMXHixBJNujJ37lw0aNBA+t6HhIRg6dKl0NXVRVhYGPbv318gjareV1Ur6ppMIisrC8ePHwcAaUuelpYWnJycABSvVe/Ro0dwcnJC06ZNYWNjg549e2LZsmWIjo7+YNoGDRpALBYjNTUV9+/fL85pCYoVPSLkVuIuXbokM61//rvSR48exd27d9GqVSts2bJFZmxG9erVMW/ePAwePBhpaWnF7gIGANOmTYOLiwvq1KkjbVUQi8WwtbXF1q1bYWpqioCAAKV3p5BU3s6cOSNtVcrrxo0biI+Ph76+vsxd1qysLCxbtgwAsH79eowdO1ba2qerqwsHBwds2bIF+vr6OHToEF6+fKnUcn///fcYOHAgLCwspNt0dXXRuXNnbN26FTo6Ojhy5AjS0tKUmq88iYmJWLJkCYYOHSptvaxVqxbWrFkDsViMuLi4AlMz7927F2/evEGVKlWwbds21K9fH0Du+96rVy8sXbq00C67xeHj44PMzEzUr18fGzZsQM2aNQEAenp6cHFxwbRp00p07DZt2mDBggVo1aqVTCutubk55s2bh/79++Pdu3fSrlASmZmZ0gp/z5494eHhITNVtomJCXr37l3sLqqJiYlYt24dKlSogG3btmHQoEHSmd709PTg6OgIT09PiEQibNu2DRkZGQWO8e7dO/To0QPff/+9tCW5QoUKMq3mRXFycsL06dPRtGlT6UW/SCSClZUVVq1ahS+++AKvXr0qckxJlSpVsGXLFul7LxKJpGOE1q5di8TERLi5ueGHH37Ap59+Ci0tLWhpaaF+/frw8vKCtbU1wsPDcebMGZnjurq6Yvz48bC2tpZODKCtrY3GjRvDy8sL9erVw6NHjxAYGFisc80vKSkJ7u7uGDlyJPT09AAAtWvXhpeXF+rWrYv09HRs3rxZJs3Vq1dx9uxZ1K1bF7t27YK9vT0qVKgAILd3wsSJEzF16lRkZ2fDx8en0HxTU1OxYMECDBs2TBp/VapU+eiW+3fv3uHEiRNYunQpgNx4bN++vcw+mZmZ0spraRlzp4r4SU5Oxo4dOwAAU6dOxYgRI6TvsYWFBTw9PWFubq5wWZ8+fYoDBw4AyO39MGTIEOnnpm7duvDx8UHt2rWRlpYGLy+vQo+RlpaGPn36YOHChdLPrJGRERYsWID69esjJydH4XH1kq7GtWvXlp6nMkm6I0+bNg2tWrWS/r7r6uqifv36mDZtWpEtmPKYmZnJvPe6uroYMGCAtKU5/+ugqvc1v5MnT6Jdu3ZyH4X1bJGnONdkEpcvX5ZWqPO23PXq1QtA7s3swn4H8nr9+jUiIiKgr6+PjIwMPHr0CLt27ULPnj2llUh5dHV1pbNzf6j7ujqwokflUkhIiPTL54svvkDTpk0xduxYxMTEQEtLCz/++GOBiz5J1wBXV1e5U+1L7iZ9aGxWcZmYmMDGxgY5OTmFruPyMRwcHGBiYoKkpCRcvHixwPO+vr4AgM6dO8t0Bb158yZiYmJQv359ODg4FHrs2rVro1mzZnj//n2x19dRhlq1aqFevXpIS0tT2tidDzE3N5f+oORlZmYm/dF5+PChzHOSi6tBgwbByMioQFpHR8cStVRkZ2fj7NmzAHLjtLCWB2dnZ5VMdCNpIb5165bM9mvXruHFixfQ1tbGrFmzPjqfU6dOITU1FV988YXc7oc2NjaoWbMm3r59K+3mm9+HWr1LSiQSoUOHDgAKvhZ5OTs7F3pxmZaWBn9/f2hpaWHUqFGFptXV1ZVeNEm6QhaHrq6utDtpUWUrir6+PkaMGFFge4UKFTB69GgAua1veVsMJd+deSvl+Uk+Qzdu3Ci0i5aJiQn69+9fojLnlfdi1M7ODs2aNcO3336LN2/eoEKFCli9enWB7uZv376V/n9hn1cgdwyrvAvcZ8+efXS581NF/Fy5cgWpqamoUKFCoWPSxGKx3GMW5ezZs8jOzka1atUwcODAAs/r6+tj7NixAHK/G+V10Rs/fnyh2yXj1RVt0ZPchFTV0kOSmxDKvtk5cuTIQr/bJZXG/K+Dqt7X/N69e4f4+Hi5j4SEBLlpS3JNJiFpscvf86hRo0awtLTEmzdv5E6UUr16dbi7u8PX11faQygkJAQ+Pj6oV68e0tPTMWfOnA/eGJPEkLLfa2XgGD0qlzIzM6VjwfIyMTHB1q1b0aRJE5nt79+/l96pWbRoEX766adCjyv5gXr+/LlC5blz5w5+++03hISE4MWLF4V2+VL2F4hYLEa3bt3wxx9/wNfXV2ZcYUZGhrQykv/LU3KB+PjxY5kJDPJLSkoCAJVc5Fy5cgWHDh3CnTt3EBcXV+gELEJ94TZu3BgikajQ5yTTOudtQcvIyJAuIdGyZUu5x23ZsmWxuo3kFR0dLR2ML+/Y+vr6aNSoUYladN68eYN9+/bh0qVLiIqKQlJSUoGLsvyvu+SudoMGDRRew7Awkhse169fLzL+JBfnz549g42Njcxzenp6JR6jJvH8+XPs2bMH165dw5MnT5CSkiIdEylRVAw2b9680O337t1DZmYmRCJRoTcQJCQxX9jnKyIiAvv27UNgYCBiYmKQmppaoKtmST8fjRs3lnujoHXr1gBy4/3p06fSmxWS98zLywvbtm0r8vhpaWnS1u78+Spj6vJ3794V2oPBwsICO3fuLPHMizk5OYX+pgBFjy0qKVXEj6Tb2eeffy53DGRR31nySG62tGzZUu74pbZt2wLIbbmNiopCvXr1ZJ43MTGRe/OrsO/Z4pCMX5S3ftrHat++PUJDQ7F69Wr8888/6NatG5o3b/7RrYf5r08kqlevDqDg66Cq9zW/vn37lnh5BUWvySQSExOlQxHyX6sAuTeQ1q9fjyNHjhQ6d4K9vX2BOQp0dXXRoUMHtGjRAv3798c///yDNWvWFDmcQhJDknkTShNW9KhcsrW1lU78kJGRgcjISGzatEk6IcCePXtkvvzfvn0rnUWyqNnKJOTN/FiYbdu2YdWqVdILMW1tbRgbG0tbDZOSkvDu3TuVdEXs2bMn/vjjD1y4cAHJycnSO5ABAQFITEyEiYlJgVY7ycDyjIwMuRc2eSnyWhTHkiVLZCbtEIvFMDExkV4ESt4robpuFjUphKR7Wt4xem/fvpVWCIoanyH50VZE3h+ZotKX5Njh4eEYMWKEzHtesWJF6OnpQSQSITMzE2/fvi1wk0Ky/yeffKJwnoWRxF9aWlqx3uPC4s/ExEShyVfyu3nzJsaPHy9zroaGhtL3Oz09HcnJyUWO0ZO3HpSkAlZUxSGv/Od34sQJzJ49W/p9paWlBUNDQ2kLQGpqKlJTU0v8+Siqsp73uVevXkkvzCXvWXEvxAsrm7LWNM17MZqWloa///4ba9euxY0bN7Bw4UJs2bKlQGtJ3t8CeedQoUIF/O9//5P+/c8//yg0KZeiVBE/ku+Por6XSnKzRjJjc1Fp87bWFDbDs6Lfs8Uh6c4nr4fOx3Jzc8O9e/fw119/4ddff8Wvv/4KHR0dNGnSBF26dJHbo+ND5L0W8l4HVb2vyqToNZnEyZMn8e7dO2nrXX6Sit6lS5fw6tUrhb5HDA0NMX78eMybNw+3b98uMr3kO6Owm0jqxooelXu6urpo0KCBdLzZ5cuXsWjRIqxfv166T9479UePHlXawO1Hjx5h9erVyMnJgbOzM4YOHYq6devK3PWcOXMm/vzzzxJPnlCU1q1bo0aNGnj+/DnOnDmDvn37Aviv22a3bt0K/AhKXosvv/wSmzZtUnqZinLx4kXs2bMH2tramDRpEnr37o1atWrJtKgNGzYMwcHBKnm9yrO5c+ciPj4ejRo1wvTp09GiRQuZC45r165h5MiRKi+HJP5cXV0VnmVP4mNmRcvMzMTMmTOl3UcnT56MJk2aSC+yAODAgQMfnNxAXkVTEreGhoYICgpSqGyvXr3CggULpIsGjxkzBtbW1jKf4XXr1sHLy0vQz4fkPdu4cWOJxiQBH/eeyaOvrw8bGxts2bIFAwYMwPXr17Fu3boCXYzFYjFq166NJ0+eyFTm1EkV8aNqpe0iWFJxKOl46A/R1dWFl5cXbt++jTNnziAoKAj37t2Tzky9bdu2j5oBV1MV55pMQtJt8969e0WOn83MzISvry9cXV0VKkuzZs0A5H6unj59KreiJ4khExMThY4vBI7RI/qXSCTCggULoK2tDX9/f5mxZSYmJtILjcJmFSypU6dOITs7G/b29li4cCHq1atX4IKmqH7tH0skEkkHOEsqdykpKTh//jyAwrtCSAbCq6JL5of4+/sDAAYMGIApU6agdu3aBbpNqvL1UgZjY2PpRZqkpaMwRT0nT96xJkV1zVP02LGxsbhz5w60tbXh5eUFBweHAneV5bUeSOJFWZ8bdcYfANy+fRvPnz+HiYkJNm3ahFatWslU8oCPi0FJl8Xk5GRp9+fiCggIQGpqKurVq4c1a9agcePGBW7UfOzno6i4yvtc3gsiZceAslWoUAHz5s0DAOzevbvQNd0ky51cvXr1gxM7qNPHxI/k+6Oo74eSdPmVxEJRn9m8wx2U1Xr7IZLzLaqiJ/k9LqqS+qHXuXnz5pg5cyb++OMP3Lx5E7/88gvMzc3x6tWrEt+sUoSq3ldVK+qaDMhdU1eRuQtUuaaeJIZUNd7zY7CiR5RH3bp1pQunrl27VrpdLBajcePGACBdh0YZJIsXN2zYsNDnU1NTcfv27UKfy3tH92PuzkvGcVy/fh0JCQk4d+4c0tPTUaNGDemYm7wkY0P+97//lXjx5ZL60OsVExMjd+Hd0kJXV1c6/kTeVPIASnQ3vlatWtLut/KOnZ6eXqzFzfOSXISZmprK7eIjb1IQyR1RZcWLJP5u3ryp9G7BxSF5LerUqSN3jUhFJkjJTzIWLScnB5cuXSpR2aytrQtt8cnJycH169dLXDYACAsLk9vtUzLu08jISDrbK/Dfe6bM705ls7Ozg42NDTIzM+Hp6Vng+cGDBwPIbTUtbPr60uJj4kfyvfrgwQOkpKQUuk9JvpckS6eEhobKjR1JXBoYGEhnMFQ1ST75Fy3PS9K1sqhx93fv3i12ngYGBnBycpKO8793716RXbyVQVXvqxDkXZMB/1XcWrRogcDAQLkPydqb9+7dKzAx2odIxpgDkPlOy08SQ4V1H1U3VvSI8pHMxnfr1i3cuHFDul3SrfHIkSPSBdPlyTtLW1EkF+Xyvny8vb3lfjHnnVb8Y7qeNGzYEJaWlnj//j38/f2lLXuOjo6FTjJiZ2eHTz75BFlZWfj555+LPHZxX4fi+tDr9csvv5SJLpuS7msHDhwo9G7wqVOnFJ6IBcit/EtmoNu9e7d0nFZev/76q8IXFpKZEuXNnPa///1PGjf52dnZwczMrFjxUhzdu3eHgYEB3r59i40bNxa5r7LjD/jvtXj8+HGhd/kvX74s872hqEqVKknHdq1fv146uU5h3r9/L/P9ICnbo0ePCv0c7N+/X6E1PguTmpqK3bt3F9iekZEhncK9W7duMt8dku/Oy5cvf7Cyp4r3rLgkMz+ePHmywOvUtGlT6UyVq1evli60Xdp8TPy0a9cOBgYGePfuHfbt21fo/rt27VK4TF999RW0tLTw5s0b6cLzeaWlpUkn6fnqq68EW3DaxsYGIpEIb9++lfu5kCxh8OLFi0JvkAUFBcmdwbaoll/JhCw5OTmFfk8rk6reV6EUdk2Wk5ODP//8E0Du942RkZHcR82aNaU3rSUzAEuOUZTk5GTpci9NmzaV29L8/PlzaWupMia1UTZW9IjyadiwoXQK8rxr+gwYMADNmzfHu3fvMGLECOzfv1/mRzQuLg5//vknnJ2dC70QKoxk1sALFy5g8+bN0rudr169wsqVK7F582a5fb6NjIykk2rkX7tMUZIumr///ru0NULejG1isRgLFy6ESCSCr68vJk2aJLOUQWZmJu7evYuff/5ZWulQFsnr9ccff+DgwYPSH9LY2FjMnj0bJ06cUNkMasrk4uICY2NjxMfHY9y4cdLpsN+/f48TJ05g7ty5JRqkD+ROQS4Wi/Hw4UO4u7tL7zRKfuTXrFmj8LGtrKxQo0YN5OTkYNq0adJW08zMTJw+fRqjR4+WOxOjWCyWrpHn6+uLb775BhEREdLn37x5g/3792PJkiXFKkvlypXx7bffAshdM3DBggUyiyynp6cjKCgI33//PYYMGaLQeRZHixYtoK+vjzdv3mDWrFnSLk/p6ek4ePAg3N3dP3qcxnfffQcTExM8fvwYQ4cORUBAgPRiMCcnB48fP8aOHTvQo0cPmYtPOzs7iEQiPHz4EEuWLJHeAEpOTsbWrVvx008/fXTZDA0NsX79euzatUvaohodHY2JEyciIiICFSpUgJubm0ya9u3bo2vXrsjJycGUKVOwdetWmQk33rx5g7Nnz2LChAklnrVPGTp37ow6deogKyurwFqAALBs2TLUr18faWlpGDt2LBYuXIiQkBCZyS9SUlJw+fJl6dqR6lDS+KlUqZJ06Yz169djz5490vc4NjYWU6dOLdF6rhYWFtI13tasWYM//vhD+t0dFRUFNzc3/PPPP9DX18fEiRM/6twVYWJiIl3TU16rnIWFhXSZnLlz50rHaGZmZsLPzw+TJ0+W+5vTq1cv/PLLL7hz5470fHNycnDnzh0sXrwYQO4Mmqr+zVLV+yqUwq7Jrl+/Lu0KXpxJjyT7HD9+XDoLbkxMDAYNGoQDBw7IdCvPyMhAQEAAhg4disePH0NLS0v6m1MYSezUrVu3wGzBpQEnYyEqxNixY3H16lVcu3YNt2/fRvPmzSEWi7Fp0yZMmTIFt27dwsKFC/H999/DyMgIGRkZMq0kkqmiP8Te3h5du3bF6dOn8csvv2Dt2rUwMjJCYmIicnJyMGDAAGRlZcnchcpr4MCB2LhxI1asWAEPDw9p/3BXV1eFJsbo1asXPDw8pC1llpaWcrtHArkTsSxduhTff/89zp07h3PnzkFPTw96enqFTrmvLH379sXhw4dx+/ZtzJ8/H4sWLULFihWlF7RTp07F9evXBV27ryRMTU2xZs0aTJo0CSEhIejZsycMDQ3x7t07ZGRkoEWLFmjVqhV8fHwKXS+pKFZWVvjxxx8xf/58nD9/HufPn4exsTFSU1ORmZmJ7t27Q09PD0ePHi32sbW0tLBgwQJMnToVN2/eRNeuXVGxYkVkZGQgMzMT5ubmmDVrltx18hwdHfHixQv8/PPP8Pf3h7+/PwwMDKCjoyN97yRjoIrDxcUFSUlJ8PDwwIEDB3DgwAEYGBhALBYjKSlJOvmHhYVFsY9ZXEZGRvj222+xdOlS6bkYGhoiLS0N79+/x+eff47+/fsXu+JamJo1a2LLli2YPHkyHj58iHHjxkEsFqNixYpISUmRaQHI23JmaWmJESNGYOfOndi7dy/27t0LIyMjJCcnS8cCN27cGN7e3iUu25dffomUlBQsW7YMq1atgr6+vvQ91NbWxvLlywtdomDlypXSdR5XrVqF1atXw9DQEFlZWTKtSv369Stx2T6WlpYWxowZg4ULF+LYsWOYPHmyzELSlSpVwm+//YZFixbhxIkT2L9/P/bv3y+d2TQ7OxvJycnSlgITExNMmTJFaTPOFldJ4wcAJk2ahLt37+Ly5ctYsmQJVqxYAQMDAyQmJkIsFmPt2rWYMmUKACj03TRnzhxER0fjypUrWLRoERYvXiwTO7q6uli9erVg3TYlevToAU9PT1y4cAFOTk6F7rNgwQK4urri4cOH6N27NwwMDJCZmYnMzMwiP1MJCQnYvHkzNm/eDG1tbRgaGsq8/pUrV/6o7wlFqOp9zevkyZMf7C48evToEq1hmv+aTNJts3HjxsVa7L1Lly5YvHgx4uLicPnyZelap6GhodLumRUqVIC+vr7Me6Svr48ffvgBdnZ2co8tWaNP3oLu6sYWPaJCtGvXTlrRyTuzZJUqVbB3716sXr0aHTp0gKmpqfQixdLSEn369MG6desK3NEuytq1a/Hdd9/ByspKOraiRYsWWLlyJZYuXVpk2smTJ2PGjBmwtrZGTk4OYmJiEBMTo/Ag/Nq1a0vvWgKFT8KSX//+/eHv748RI0bgs88+g5aWFpKTk2FiYgJbW1u4u7tLJ09RFl1dXezYsQNubm6oVasWtLS0oK2tjXbt2sHb2xuTJ09Wan6q5ODggEOHDqFbt24wMTFBRkYGatasCXd3d5nWEnkLTBelf//+2Lt3LxwcHGBoaIiMjAxYWVlhwYIFWLt2rTQ+FDn2V199hV27dqFdu3aoWLEi3r9/DwsLC4wePRpHjhyRu5itxKhRo3DkyBH069cPFhYWeP/+PUQiEaytreHq6oq5c+cqdI6TJk3CsWPHMHjwYNSpUwfZ2dlITU1FtWrVYG9vj5kzZ+LXX39V6JjF5erqig0bNkhb97KysmBpaQl3d3f8/vvvRU4FX1xNmzaFn58fZsyYARsbGxgYGCApKQn6+vpo3LgxXFxcsHfv3gIV5Llz52Lx4sVo2LAhdHV1kZWVhc8//xzz5s2Dj4/PR69FJxKJsH79esydOxeWlpbIzMyEsbExOnXqhN9//13uxbKBgQE2btyIzZs3o2vXrqhevbq0cvzpp5+iR48eWL58+QdnK1W1Pn36oFq1asjMzMSWLVsKPF+pUiX88ssvOHr0KEaNGoVGjRrB2NgYKSkpyMnJQZ06ddCzZ0+sWrUKFy9ehIuLi2BdEfMqafzo6upi8+bNmDNnDurXry/9ju3UqRP27t2LNm3aSPdVpGeAvr4+tmzZgiVLlqBVq1bQ09NDWloaLCwsMHDgQBw/frzEM7J+jP79+0NLSwvnzp2TO+FKs2bN8Ouvv6JTp04wMjJCVlYW6tati1mzZhX5mdq0aRPGjx+PFi1aoHr16khJSYFYLIa1tTXc3Nxw4sQJwWbcVNX7mteHFkyPj48v8XjEvNdka9euxenTpwEUrzUPyF0+QjJWWFJJrFq1KhYsWIAePXqgbt260NfXR3JyMvT09NC4cWOMGzcOJ06cQJ8+feQeNzMzE2fOnIFIJFLrTaqiiHLKwoAWIqJyRrJMxPLly5X6A5KTk4NOnTrh2bNn2L17t8wPPJE8np6e2LBhw0ctikxln2QZFQsLC/z111/qLo5SjB8/HhcuXMD69evRvXt3dRdHLTTxfRXCX3/9hYkTJ8Le3l46zrS0YYseEVEpExISguDgYGhpaRXZZaQkTpw4gWfPnqFSpUrSGTGJiIpj69atACAdM6UJpkyZApFIJJ1MqDzSxPdVCNu3bwcAuLu7q7kk8rGiR0SkBn/88Qe8vb3x5MkT6ZjGlJQUHD16FBMmTACQO36kJON7vL29sWfPHjx79kw6Xu3t27fYtWuXdN2mYcOGSWd+IyICgKysLEydOhUBAQEyQwAePXqEqVOn4vLlyxCLxXBxcVFjKZWrSZMm6N69O27fvv1RS6OUZuXxfVW1oKAgBAYG4ssvv5R2Cy2NOBkLEZEaxMbGwtvbG2vXrpUO1E9MTJRWzD7//PMSj1cKDw/H8ePHsWTJEojFYumge0lP/S+++EI68J6ISCInJwenTp3CqVOnAOSOSczKypLOCK2lpYWFCxfC2tpancVUOsk4eVWvaacu5fV9VaWkpCRMmTJF7gzlpQUrekREauDk5IR3797h5s2bePHiBd6+fYtKlSrBysoK3bt3x5AhQ0rc4jZs2DBUqlQJwcHBiIuLQ1JSEoyNjWFtbY3evXujT58+Hz0pBxFpHm1tbXz//fe4fPkyHj58iISEBGRlZcHCwgKtWrXCiBEjpAuga5JatWqV6u53H6u8vq+q1KlTJ3Tq1EndxfggTsZCRERERESkYThGj4iIiIiISMOwokdERERERKRhWNEjIiIiIiLSMKzoERERERERaRhW9IiIiIiIiDQMK3pEREREREQahhU9IiIiIiIiDcOKHhERERERkYZhRY+IiIiIiEjDsKJHRERERESkYVjRIyIiIiIi0jCs6BEREREREWkYVvSIiIiIiIg0DCt6REREREREGoYVPSIiIiIiIg3Dih4REREREZGGYUWPiIiIiIhIw7CiR0REREREpGFY0SMiIiIiItIwrOgRERERERFpGFb0iIiIiIiINAwrekRERERERBqGFT0iIiIiIiINw4oeERERERGRhmFFj4iIiIiISMOwokdERERERKRhWNEjIiIiIiLSMKzoERERERERaRhW9IiIiIiIiDQMK3pEREREREQahhU9IiIiIiIiDcOKHhERERERkYZhRY+IiIiIiEjDsKJHRERERESkYVjRIyIiIiIi0jCs6BEREREREWkYVvSIiIiIiIg0DCt6REREREREGoYVPSIiIiIiIg3Dih4REREREZGGYUWPiIiIiIhIw7CiR0REREREpGFY0SMiIiIiItIwrOgRERERERFpGFb0iIiIiIiINAwrekRERERERBpGR90FICIiIiIimiCqI2h+3jmPBc1PaKzoUYmlp2SouwhUjuhV1GXMkWAYbyQkxhsJSa+irrqLQAJhRY+IiIiIiNROCyJ1F0GjcIweERERERGRhmFFj4iIiIiISMOw6yYREREREamdiF03lYotekRERERERBqGLXpECnoa8xQ/r1qJm4E3IBaL0bFDR8z4dhaMjY0/mPbGjetY77kO4RHhqFy5Mvr17Y+xo8dBW1sbAJCcnIy9+/bgytXLePzPYwBA/frWmDh+Ilq1bK3K06JSivFGQlNlzEn4nfLDlq0+iI5+ghpmNeDi7IpBAwer6pSoFGO8UV6cjEW52KKngc6dO4devXqhcePG6Nq1Kw4ePCjz/KNHj+Du7o7OnTvD2toaPj4+aipp2ZOSkoJxbmMQF/cSP69YjQXzFiIoOBhTp7sjJyenyLT37t/D5KmTULt2bXiu3whXl5HYtn0rNnltlO7z7PkzHDi0H7at22DF0pVYvnQFDA0NMdZtDAIuBaj69KiUYbyR0FQdcwBw4eJ5zJk7C21t22KjpxecHHti+cplOHT4oJwjk6ZivBGpFlv0NExoaCjc3d0xceJEODo64tq1a1i0aBFMTEzQpUsXAEBaWhpq1qyJ7t27Y/ny5Woucdly8PBBxMXHYeeO3TCrbgYAMDOrgRGjXBBwKQAd2neQm9Z7sxfqfFoHy5asgJaWFtrYtkFaaio2b/GGi7MrTExMYGFhAd9jJ6Gvry9NZ9f2CwwY3B+79+xCe4f2Kj9HKj0YbyQ0VcccAHhu9ICDvQNmzZwNALBtbYuXL19go9cG9Pm6b4HWGNJcjDfKT8Q2KKXiq6lhdu7ciZYtW8Ld3R1WVlZwdnaGk5MTtm7dKt2nadOmmD17NpycnKCry0UzFRFw6SJatmgp/UECgObNmsPc3AIXAy7ITZeZmYnrN66hW9fu0NL672Pn2MMJGRkZuHb9KgDAQN9A5qIbALS1tdHA2hov414q92So1GO8kdBUHXOxsbEIDw9Hj+6OMukdHZ2QkJCAsLC7yj0hKtUYb0SqxYqehgkJCYG9vb3MNgcHB4SFhSEzM1NNpdIckZERsLKsV2C7laUlIiMj5aaLjo5GRkYGrKysZLabm5tDT08fEZERctO+f/8et0NDYVm3bskLTmUS442EpuqYi4zK/dfKSjYPS8vcdBFR8vMgzcN4o/y0IBL0oelY0dMw8fHxqFKlisy2atWqITMzE69fv1ZTqTRHYmIiDA0NC2w3NDTC28S38tMlJUr3y8/IyBCJb+Wn3b5zG549i4Wry0jFC0xlGuONhKbqmEtMlOwnm4fRv+mKik3SPIw3ItXiGD2iUuz8hb/g5b0Jo0eOQQubFuouDmk4xhsREakT19FTLrboaZiqVasiISFBZlt8fDx0dHRQuXJlNZVKcxgZGSEpKanA9qSkRBgbyZ8KWnL3MOnfu5B5JSYmwaiQaaQDgwIxe+4sOPZwgvuUqR9RaiqrGG8kNFXHnJGRZD/ZPCQtNIXFJmkuxhuRarGip2FsbGxw5coVmW2XLl1CkyZNIBaL1VQqzWFZ1xIRUQXHN0VERhY5pqlWrVoQi8UFxhzExsYiPT0NlnUtZbbfv38P30x3Rxvbtvjx+58gEvEOV3nEeCOhqTrm6v77b2S+caKSv/PHJmk2xhvlxzF6ysWKnoYZOXIkgoKCsGHDBkRGRmLfvn3w9fXF2LFjpftkZGTgwYMHePDgATIyMvDy5Us8ePAA4eHhaix52dDeoQOCg4NkZiS8cycUsbExaN++o9x0YrEYbdvY4dRpf2RnZ0u3+506CbFYDLu2X0i3RUVFYtKUibCub41VK1dDR4c9rMsrxhsJTdUxZ2FuASurevDz95NJ7+fvB1NTUzRu1Fi5J0SlGuONSLVEOR9akZLKnLNnz2LdunV4/PgxatSogfHjx2PgwIHS558+fYovv/yyQDoLCwv89ddfxc4nPSVDKeUtS5KTkzFgUD+YmppiwvhJSE9PwzqPtahapSp27dgjbQnx9vGCz5bN8D12Eubm5gCAu2F3MXK0K7p+1Q19+/RDeMQjrPdYh6FDhmHa1OkAgIRXCRjmPATv3mVg6eJlMKxUSSb/pk2bCXvCpYheRd1yF3OMN/Upj/EGqD7mAODcX+fw7YxpcB7ugo4dOiH4VhA2+3hj7pz5GDRgkFrOW90Yb4w3IelVLL1La80QfS5ofqtzHgian9BY0aMSK48/SkDutM4rV61AUHAgdHR00KF9R8z8bpZ0cVYA8PLeBG8fL5z09YeFuYV0+7XrV+HhuR7hEeEwMTFB/74DMG6sm3TB1sCgQIx1Gy0379Bb5XfNn/J6IcR4U4/yGm+AamNO4qTfCWzZtgXR0U9Qw6wGnIe7YMjgoUKdYqnDeGO8CYkVvf+wokckR3n9USL1KM8XQiQ8xhsJifFGQirNFb1ZooaC5vdzzn1B8xMax+gRERERERFpGFb0iIiIiIiINAynVyMiIiIiIrXjgunKxRY9IiIiIiIiDcMWPSIiIiIiUrvysIi5kNiiR0REREREpGHYokclVpqn5yXNxJgjITHeSEiMNyJAxDYopWJFj0qMa/6QkLjOFAmJ8UZCYryRkHhTofxgRY+IiIiIiNSOY/SUi+2jREREREREGoYtekREREREpHZs0VMutugRERERERFpGLboERERERGR2onYoqdUbNEjUtDTmKeYOs0dbdvZwqFjOyz8fj7evn1brLQ3blzHMOchsLVrhW6OX2HzFm9kZWUV2M/vlB/6DeyL1m1botfXTth/4A9lnwaVIYw5EpIq4y05ORnem73gMmI4HDq2g0PHdhjjNhpBwYGqOh0q5fj9RqQ6rOhpoHPnzqFXr15o3LgxunbtioMHD8o8f/DgQTg7O6NNmzZo2bIlhgwZggsXLqinsGVMSkoKxrmNQVzcS/y8YjUWzFuIoOBgTJ3ujpycnCLT3rt/D5OnTkLt2rXhuX4jXF1GYtv2rdjktVFmvwsXz2PO3Floa9sWGz294OTYE8tXLsOhwwflHJk0GWOOhKTqeHv2/BkOHNoP29ZtsGLpSixfugKGhoYY6zYGAZcCVH16VMrw+43y04JI0IemY9dNDRMaGgp3d3dMnDgRjo6OuHbtGhYtWgQTExN06dIFAHDjxg107doVc+bMQaVKlXD48GFMmjQJu3fvRqtWrdR8BqXbwcMHERcfh507dsOsuhkAwMysBkaMckHApQB0aN9BblrvzV6o82kdLFuyAlpaWmhj2wZpqanYvMUbLs6uMDExAQB4bvSAg70DZs2cDQCwbW2Lly9fYKPXBvT5ui+0tbVVfp5UejDmSEiqjjcLCwv4HjsJfX19aTq7tl9gwOD+2L1nF9o7tFf5OVLpwe83ItVii56G2blzJ1q2bAl3d3dYWVnB2dkZTk5O2Lp1q3SfVatWwdXVFY0bN0adOnXw7bffwtraGmfPnlVjycuGgEsX0bJFS+kPEgA0b9Yc5uYWuBhwQW66zMxMXL9xDd26doeW1n8fO8ceTsjIyMC161cBALGxsQgPD0eP7o4y6R0dnZCQkICwsLvKPSEq9RhzJCRVx5uBvoFMJQ8AtLW10cDaGi/jXir3ZKjU4/cb5ScS+D9Nx4qehgkJCYG9vb3MNgcHB4SFhSEzM7PQNDk5OUhOToaRkZEQRSzTIiMjYGVZr8B2K0tLREZGyk0XHR2NjIwMWFlZyWw3NzeHnp4+IiIjco8flfuvlZVsHpaWuekiouTnQZqJMUdCUnW8Feb9+/e4HRoKy7p1S15wKpP4/UakWqzoaZj4+HhUqVJFZlu1atWQmZmJ169fF5pm27ZtSEhIwNdffy1EEcu0xMREGBoaFthuaGiEt4nyB48nJiVK98vPyMgQif8OPE9MlOwnm4fRv+kSizlAnTQHY46EpOp4K8z2ndvw7FksXF1GKl5gKtP4/UakWhyjV84dPXoUnp6e8PDwgIWFhbqLQ0RE5cj5C3/By3sTRo8cgxY2LdRdHCJSs/IwQYqQWNHTMFWrVkVCQoLMtvj4eOjo6KBy5coy2w8cOIAlS5bAw8MDHTrIH/BM/zEyMkJSUlKB7UlJiTA2Mpaf7t+7h0n/3oXMKzExCUbGxtLj5+4nm4fk7qVkPyo/GHMkJFXHW16BQYGYPXcWHHs4wX3K1I8oNZVV/H4jUi123dQwNjY2uHLlisy2S5cuoUmTJhCLxdJt+/btYyWvBCzrWiIiquBYk4jIyCLHl9SqVQtisbjAmIPY2Fikp6fBsq4lAKDuv/9G5hvPIvlbsh+VH4w5EpKq403i/v17+Ga6O9rYtsWP3/8EkYh38csjfr9RfpyMRblY0dMwI0eORFBQEDZs2IDIyEjs27cPvr6+GDt2rHSf7du3Y9myZfjxxx/RsGFDxMXFIS4uDm/evFFfwcuI9g4dEBwcJDM73J07oYiNjUH79h3lphOLxWjbxg6nTvsjOztbut3v1EmIxWLYtf0CAGBhbgErq3rw8/eTSe/n7wdTU1M0btRYuSdEpR5jjoSk6ngDgKioSEyaMhHW9a2xauVq6Oiwc1F5xe83ItUS5XxoRUoqc86ePYt169bh8ePHqFGjBsaPH4+BAwdKn+/cuTNiYmIKpLO1tcWePXuKnU96SoZSyluWJCcnY8CgfjA1NcWE8ZOQnp6GdR5rUbVKVezasUd6V9rbxws+WzbD99hJmJubAwDuht3FyNGu6PpVN/Tt0w/hEY+w3mMdhg4ZhmlTp0vzOPfXOXw7Yxqch7ugY4dOCL4VhM0+3pg7Zz4GDRiklvMuDfQq6jLmGHOCYbypJt4SXiVgmPMQvHuXgaWLl8GwUiWZ/Js2bSbsCZcSjDd+vwlJr6Kuuosg13JRG0Hzm5tzQ9D8hMaKHpVYefxRAnKndV65agWCggOho6ODDu07YuZ3s6SLswKAl/cmePt44aSvPyzM/5vk5tr1q/DwXI/wiHCYmJigf98BGDfWrcCCrSf9TmDLti2Ijn6CGmY14DzcBUMGDxXqFEul8nohBDDm1IHxppp4CwwKxFi30XLzDr1VPtc1Y7zx+01IrOj9hxU9IjnK648SqUd5vhAi4THeSEiMNxJSaa7orRC1FTS/OTnXBc1PaByjR0REREREpGE4ApqIiIiIiNSO6+gpF1v0iIiIiIiINAxb9IiIiIiISO3Kw9p2QmKLHhERERERkYZhix4REREREakdx+gpFyt6VGKleXpe0kyMORIS442ExHgjImVjRY9KjGv+kJC4zhQJifFGQmK8kZBK800FjtFTLo7RIyIiIiIi0jCs6BEREREREWkYdt0kIiIiIiK142QsysUWPSIiIiIiIg3Dih6Rgp7GPMXUae5o284WDh3bYeH38/H27dtipb1x4zqGOQ+BrV0rdHP8Cpu3eCMrK6vAfn6n/NBvYF+0btsSvb52wv4Dfyj7NKgMYcyRkFQdbxcuXsCsOTPh2Ks7mrVogoXfz1fFaVAZwXijvLQgEvSh6VjRI1JASkoKxrmNQVzcS/y8YjUWzFuIoOBgTJ3ujpycnCLT3rt/D5OnTkLt2rXhuX4jXF1GYtv2rdjktVFmvwsXz2PO3Floa9sWGz294OTYE8tXLsOhwwdVeWpUSjHmSEhCxNv5C38hPCIcrVq2hpGRkSpPh0o5xhuRanGMngY6d+4c1q1bh6ioKJibm8PNzQ0DBgyQPn/27Fl4e3vjyZMnSE9Ph4WFBQYOHIjRo0ersdRlw8HDBxEXH4edO3bDrLoZAMDMrAZGjHJBwKUAdGjfQW5a781eqPNpHSxbsgJaWlpoY9sGaamp2LzFGy7OrjAxMQEAeG70gIO9A2bNnA0AsG1ti5cvX2Cj1wb0+bovtLW1VX6eVHow5khIQsTb9wt/gJZW7n3mnr2DVX5OVHox3ig/EduglIqvpoYJDQ2Fu7s7unbtimPHjsHV1RWLFi3C2bNnpfsYGxtj7Nix2LdvH06cOIHx48fDw8MDe/bsUWPJy4aASxfRskVL6Q8SADRv1hzm5ha4GHBBbrrMzExcv3EN3bp2l/7gAIBjDydkZGTg2vWrAIDY2FiEh4ejR3dHmfSOjk5ISEhAWNhd5Z4QlXqMORKSquMNgMzzVL4x3ohUi9GvYXbu3ImWLVvC3d0dVlZWcHZ2hpOTE7Zu3Srdp3Xr1ujevTs+++wz1KpVC3369IG9vT0CAwPVWPKyITIyAlaW9Qpst7K0RGRkpNx00dHRyMjIgJWVlcx2c3Nz6OnpIyIyIvf4Ubn/WlnJ5mFpmZsuIkp+HqSZGHMkJFXHG1FejDfKj2P0lIsVPQ0TEhICe3t7mW0ODg4ICwtDZmZmgf1zcnJw9+5d3Lp1C23atBGqmGVWYmIiDA0NC2w3NDTC20T5g8cTkxKl++VnZGSIxH8HnicmSvaTzcPo33SJxRygTpqDMUdCUnW8EeXFeCNSLY7R0zDx8fGoUqWKzLZq1aohMzMTr1+/RvXq1aXbbWxskJmZiaysLEyZMgXDhw8XurhERERERAAAUTloZRMSK3rl2NGjR5Geno7Q0FCsWbMGNWrUQP/+/dVdrFLNyMgISUlJBbYnJSXC2MhYfrp/7zom/XsXMq/ExCQYGRtLj5+7n2wekruXkv2o/GDMkZBUHW9EeTHeiFSLXTc1TNWqVZGQkCCzLT4+Hjo6OqhcubLM9k8//RTW1tYYNGgQxo0bh19++UXIopZJlnUtERFVsO9/RGQkLOvWlZuuVq1aEIvFBcYcxMbGIj09DZZ1LQEAdf/9NzLf+ALJ35L9qPxgzJGQVB1vRHkx3ig/jtFTLlb0NIyNjQ2uXLkis+3SpUto0qQJxGKx3HTZ2dl49+6dqotX5rV36IDg4CC8jHsp3XbnTihiY2PQvn1HuenEYjHatrHDqdP+yM7Olm73O3USYrEYdm2/AABYmFvAyqoe/Pz9ZNL7+fvB1NQUjRs1Vu4JUanHmCMhqTreiPJivBGpFit6GmbkyJEICgrChg0bEBkZiX379sHX1xdjx46V7rN582ZcunQJT548QVRUFA4ePAgfHx/06dNHfQUvI/r3G4CqVapi2vSpCLgUgNNnTmHO/Nlo1rSZzHo/3j5eaNG6OWJjY6XbxrtNQGRUJOYvnIebgTfx6+/74LNlM5yHu8i0tk6eOAUBly5i1ZqfERgUCG8fLxw+cggTJ0yGjg57W5c3jDkSkhDxFhsbizNnT+PM2dNIS09D7LNn0r9fvX4l6PmSejHeKD+RwP9pOlFOTk6OugtBynX27FmsW7cOjx8/Ro0aNTB+/HgMHDhQ+ryHhwdOnDiB58+fQ0dHB7Vr10a/fv0wdOhQhS7q0lMyVFH8Ui86OhorV61AUHAgdHR00KF9R8z8bpZ0cVYA8PLeBG8fL5z09YeFuYV0+7XrV+HhuR7hEeEwMTFB/74DMG6sW4EFqU/6ncCWbVsQHf0ENcxqwHm4C4YMHirUKZZKehV1GXOMOcEw3lQXb8f+PIpFPywsNO+tPtvRulVrlZ1bacV4Y7wJSa+irrqLINdmURdB8xufc/bDO5VhrOhRiZXXHyVSj/J8IUTCY7yRkBhvJKTSXNHbovWVoPmNyz4jaH5CY9dNIiIiIiIiDcOKHhERERERkYbhKHsiIiIiIlI7tkApF19PIiIiIiIiDcMWPSIiIiIiUjuRSPOXPBASW/SIiIiIiIg0DFv0iIiIiIhI7dgCpVys6FGJleZ1WEgzMeZISIw3EhLjjYiUjRU9KjEu7kpC4oLCJCTGGwmJ8UZCKs03FbQ4Rk+p2EJKRERERESkYdiiR0REREREaicCW/SUiS16REREREREGoYtekREREREpHZabNBTKrboESnoacxTTJ3mjrbtbOHQsR0Wfj8fb9++LVbaGzeuY5jzENjatUI3x6+weYs3srKyCuznd8oP/Qb2Reu2LdHrayfsP/CHsk+DyhDGHAlJlfGWnJwM781ecBkxHA4d28GhYzuMcRuNoOBAVZ0OlXKMNyorAgMDMWHCBNjb28Pa2honTpwosM+tW7cwcOBANGnSBB06dMDmzZvVUNL/sKJHpICUlBSMcxuDuLiX+HnFaiyYtxBBwcGYOt0dOTk5Raa9d/8eJk+dhNq1a8Nz/Ua4uozEtu1bsclro8x+Fy6ex5y5s9DWti02enrBybEnlq9chkOHD6ry1KiUYsyRkFQdb8+eP8OBQ/th27oNVixdieVLV8DQ0BBj3cYg4FKAqk+PShnGG+WnJRIJ+lBEamoqrK2t8f333xf6fExMDMaMGYPPP/8cR44cwcyZM7Fp0ybs2rVLGS9NibDrpgY6d+4c1q1bh6ioKJibm8PNzQ0DBgwodN/r169j1KhR+PTTT+Hv7y9wScueg4cPIi4+Djt37IZZdTMAgJlZDYwY5YKASwHo0L6D3LTem71Q59M6WLZkBbS0tNDGtg3SUlOxeYs3XJxdYWJiAgDw3OgBB3sHzJo5GwBg29oWL1++wEavDejzdV9oa2ur/Dyp9GDMkZBUHW8WFhbwPXYS+vr60nR2bb/AgMH9sXvPLrR3aK/yc6TSg/FGZUmHDh3QoYP8mPztt99gamqKH3/8ESKRCPXq1UN4eDi2bdsGV1dXiNSwdARb9DRMaGgo3N3d0bVrVxw7dgyurq5YtGgRzp49W2DfV69eYe7cufjiiy/UUNKyKeDSRbRs0VL6gwQAzZs1h7m5BS4GXJCbLjMzE9dvXEO3rt2hpfXfx86xhxMyMjJw7fpVAEBsbCzCw8PRo7ujTHpHRyckJCQgLOyuck+ISj3GHAlJ1fFmoG8gc9ENANra2mhgbY2XcS+VezJU6jHeKD+RwI/ExEQ8ffq0wCMxMVHhsoeEhKBdu3YyFToHBwe8ePECMTExCh9PGVjR0zA7d+5Ey5Yt4e7uDisrKzg7O8PJyQlbt26V2S8nJwezZs3CwIED0bx5c/UUtgyKjIyAlWW9AtutLC0RGRkpN110dDQyMjJgZWUls93c3Bx6evqIiIzIPX5U7r9WVrJ5WFrmpouIkp8HaSbGHAlJ1fFWmPfv3+N2aCgs69YtecGpTGK8kbrt2rULX375ZYFHSbpbxsfHo0qVKjLbqlWrBgCIi4tTSnkVxa6bGiYkJARDhw6V2ebg4IB58+YhMzMTYrEYALBt2za8e/cOEyZMwMaNGws7FBUiMTERhoaGBbYbGhohJjZWfrqkROl++RkZGSLx34HnkjtI+fMw+jddYjEHqJPmYMyRkFQdb4XZvnMbnj2LxdLFy0pQYirLGG+kbiNGjEDfvn0LbDcyKhhbZRErehpG3t2EzMxMvH79GtWrV0doaCi2b9+Ow4cPy3R5ICIiEtL5C3/By3sTRo8cgxY2LdRdHNJwjLfST9EJUj6WkZGR0ip1VatWRUJCgsy2+Ph4AP+17AmNV/nlTHJyMqZPn47vv/8eNWrUUHdxyhwjIyMkJSUV2J6UlAhjI2P56f6965iUVLDPd2JiEoyMjaXHz91PNg/J3UvJflR+MOZISKqOt7wCgwIxe+4sOPZwgvuUqR9RaiqrGG+kSWxsbHD16lWZbZcuXYKZmRksLCzUUiZW9DSMvLsJOjo6qFy5MqKjoxETE4Pp06ejYcOGaNiwITZu3IioqCg0bNgQp0+fVlPJywbLupaIiCrY9z8iMrLI/v61atWCWCwuMOYgNjYW6elpsKxrCQCo+++/kfnGF0j+luxH5QdjjoSk6niTuH//Hr6Z7o42tm3x4/c/qWU2OlI/xhvlpwWRoA9FpKSk4MGDB3jw4AGA3OUUHjx4gH/++QcAMHToUCQkJOCHH35AREQETpw4gR07dmD06NFqizlW9DSMjY0Nrly5IrPt0qVLaNKkCcRiMSwtLXH8+HEcPXpU+hgyZAhq1qyJo0ePcgbOD2jv0AHBwUEys3XduROK2NgYtG/fUW46sViMtm3scOq0P7Kzs6Xb/U6dhFgshl3b3NfdwtwCVlb14OfvJ5Pez98PpqamaNyosXJPiEo9xhwJSdXxBgBRUZGYNGUirOtbY9XK1dDR4SiS8orxRmVJWFgY+vTpgz59+gAA1qxZgz59+mDBggUAAAsLC2zduhVhYWH4+uuvsXLlSkyYMAEjR45UW5lFOR9akZLKlNDQUAwdOhSTJk2Co6Mjrl27hqVLl8LDwwNdunQpNI2npydOnDih8Dp66SkZyihymZKcnIwBg/rB1NQUE8ZPQnp6GtZ5rEXVKlWxa8ce6R0bbx8v+GzZDN9jJ2Fubg4AuBt2FyNHu6LrV93Qt08/hEc8wnqPdRg6ZBimTZ0uzePcX+fw7YxpcB7ugo4dOiH4VhA2+3hj7pz5GDRgkFrOuzTQq6jLmGPMCYbxppp4S3iVgGHOQ/DuXQaWLl4Gw0qVZPJv2rSZsCdcSjDeGG9C0quoq+4iyHVYz0nQ/PqlnxA0P6GxoqeBzp49i3Xr1uHx48eoUaMGxo8fj4EDB8rdnxU9xURHR2PlqhUICg6Ejo4OOrTviJnfzZIuPg0AXt6b4O3jhZO+/rAw/69f9rXrV+HhuR7hEeEwMTFB/74DMG6sW4EFqU/6ncCWbVsQHf0ENcxqwHm4C4YMlp1NtbwprxdCAGNOHRhvqom3wKBAjHUbLTfv0Fvlc91GxhvjTUis6P2HFT0iOcrrjxKpR3m+ECLhMd5ISIw3ElJprugd0espaH59030FzU9oHKNHRERERESkYTgilYiIiIiI1E6LE6IqFVv0iIiIiIiINAxb9IiIiIiISO20uMahUrFFj4iIiIiISMMo3KKXmpqKFy9e4PXr19DT00OVKlVgZmamirIREREREVE5IQJb9JSpWBW9J0+e4NChQ7hy5QoePHiA7OxsmedNTEzQpk0bdO3aFV27doWODnuEEhERERERqUuR6+iFhYVh7dq1uHbtGrKzs6Gjo4PPPvsMVatWhbGxMd69e4c3b94gKioK8fHxEIlEMDU1haurK0aNGgVd3dK7TgcREREREZUeJyv2FjQ/x5Q/Bc1PaHIrerNmzYKvry8MDQ3Ro0cPODk5oWnTpqhQoUKhB3r69CkuX76Mo0eP4vbt2zA3N8fKlSvRunVrlZ4AqQ8XdyUhcUFhEhLjjYTEeCMhleYF01nRUy65FT17e3u4ublhyJAhCrfM/f333/D09ETDhg0xefJkpRSUSh/+KJGQeCFEQmK8kZAYbyQkVvT+U24reunp6dDT0/uogyvjGFR68UeJhMQLIRIS442ExHgjIZXmip5/xa8Fza97yjFB8xOa3OUVlFFBYyWPiIiIiIhIeJwek4iIiIiI1I7rpStXsSp66enpOHXqFK5fv46oqCi8ffsWWlpaMDU1RdOmTdGzZ098/vnnqi4rUanwNOYpfl61EjcDb0AsFqNjh46Y8e0sGBsbfzDtjRvXsd5zHcIjwlG5cmX069sfY0ePg7a2tsx+fqf8sGWrD6Kjn6CGWQ24OLti0MDBqjolKuUYcyQkVcfbhYsXcNLvBMLu3UVMTAx69+qNxT8uVeUpUSnGeCNSnQ9W9K5cuYK5c+ciLi4OkuF8IpEIOTk5iIiIQGBgILZv3w5HR0f89NNPqFixosoLTaQuKSkpGOc2BiYmJvh5xWqkpaVincc6TJ3ujp3bdkFUxK2oe/fvYfLUSejyZRd8M3U6wiPCsd5jLTLeZcB9ylTpfhcunsecubMwfKgz5syai1u3grF85TJoa2ujf78BQpwmlSKMORKSEPF2/sJfCI8IR6uWrZGUlCTEaVEpxXij/LS4YLpSFVnRu3//PsaPH48KFSrAxcUFtWrVQnR0NA4dOoRPP/0U8+fPR1RUFI4dO4YTJ07g5cuX2LVrF7S05A79IwGcO3cO69atQ1RUFMzNzeHm5oYBA/67WDt8+DDmzp1bIN3p06fx6aefClnUMufg4YOIi4/Dzh27YVbdDABgZlYDI0a5IOBSADq07yA3rfdmL9T5tA6WLVkBLS0ttLFtg7TUVGze4g0XZ1eYmJgAADw3esDB3gGzZs4GANi2tsXLly+w0WsD+nzdt0BLDGk2xhwJSYh4+37hD9LrhJ69g1V+TlR6Md6IVKvIGtmmTZugq6uLw4cPY968eXBxccG8efNw+PBhREVF4erVqxgwYAD27NmDb775BkFBQfjjjz+EKjsVIjQ0FO7u7ujatSuOHTsGV1dXLFq0CGfPnpXZT1dXF5cvX5Z51KxZU02lLjsCLl1EyxYtpT9IANC8WXOYm1vgYsAFuekyMzNx/cY1dOvaXeZGiGMPJ2RkZODa9asAgNjYWISHh6NHd0eZ9I6OTkhISEBY2F3lnhCVeow5EpKq4w0AbwaTFOON8tMSiQR9aLoioz84OBhdu3Yt0Mrz6aefomvXrjh69Kh028SJE/HZZ5/h2DHNnqa0tNu5cydatmwJd3d3WFlZwdnZGU5OTti6dWuBfatVqybz4F37D4uMjICVZb0C260sLREZGSk3XXR0NDIyMmBlZSWz3dzcHHp6+oiIjMg9flTuv1ZWsnlYWuami4iSnwdpJsYcCUnV8UaUF+ONSLWKrOglJyejcuXKhT5namqKly9fymyzs7NDeHi48kpHCgsJCYG9vb3MNgcHB4SFhSEzM1O6LTMzE507d4aDgwNGjx6NwMBAoYtaJiUmJsLQ0LDAdkNDI7xNfCs/XVKidL/8jIwMkfj2rfT4ufvJ5mH0bzrJflR+MOZISKqON6K8GG+Un0jgh6YrsqJXvXp13Lp1q9DnQkJCClQCdXR08P79e+WVjhQWHx+PKlWqyGyrVq0aMjMz8fr1awBA3bp1sWzZMmzYsAHr1q1D9erV4erqiqCgIHUUmYiIiIiIlKzIyVg6duyIX3/9FcuXL8c333wDAwMDpKWlwcPDA6GhoejTp4/M/jExMahWrZoqy0tKYGNjAxsbG+nfLVu2xPPnz7Ft2za0atVKjSUr/YyMjAqdtSspKRHGRvKngpa0jiT9excyr8TEJBj9O420kZFkP9k8JHcvjYox3TRpFsYcCUnV8UaUF+ON8isP4+aEVGSL3qRJk1ClShXs3r0brVu3hr29PVq1aoWdO3fC0NAQkyZNku6bkZGBq1evonnz5qouMxWhatWqSEhIkNkWHx8PHR0dud1wAaB58+Z4/PixiktX9lnWtUREVMG+/xGRkbCsW1duulq1akEsFhcYcxAbG4v09DRY1rUEANT999/IfOMLJH9L9qPygzFHQlJ1vBHlxXgjUq0iK3pVqlTBH3/8gY4dO0IkEiE+Ph5A7li8X3/9FbVq1ZLZf9++fYVO20/CsbGxwZUrV2S2Xbp0CU2aNIFYLJab7v79+2yNLYb2Dh0QHByEl3H/jU+9cycUsbExaN++o9x0YrEYbdvY4dRpf2RnZ0u3+506CbFYDLu2XwAALMwtYGVVD37+fjLp/fz9YGpqisaNGiv3hKjUY8yRkFQdb0R5Md4oPy2RsA9N98E5Zy0sLODl5YVbt24hICAAt27dwvbt21GvnuwsSbq6uvjss89gamqqssLSh40cORJBQUHYsGEDIiMjsW/fPvj6+mLs2LHSfTZs2ICAgAA8efIEf//9N5YsWYKAgACMGDFCjSUvG/r3G4CqVapi2vSpCLgUgNNnTmHO/Nlo1rSZzHo/3j5eaNG6OWJjY6XbxrtNQGRUJOYvnIebgTfx6+/74LNlM5yHu8i0tk6eOAUBly5i1ZqfERgUCG8fLxw+cggTJ0yGjk6Rva1JAzHmSEhCxFtsbCzOnD2NM2dPIy09DbHPnkn/fvX6laDnS+rFeCNSLVFOTk6OugtBynX27FmsW7cOjx8/Ro0aNTB+/HgMHDhQ+vzy5ctx5swZxMXFwcDAAPXr18fEiRPxxReK3QFLT8lQdtHLhOjoaKxctQJBwYHQ0dFBh/YdMfO7WdLFWQHAy3sTvH28cNLXHxbmFtLt165fhYfneoRHhMPExAT9+w7AuLFuBZa2OOl3Alu2bUF09BPUMKsB5+EuGDJ4qFCnWCrpVdRlzDHmBMN4U128HfvzKBb9sLDQvLf6bEfrVq1Vdm6lFeON8SYkvYq66i6CXJeN+wuan/3bQ4LmJzRW9KjEyuuPEqlHeb4QIuEx3khIjDcSEit6/9H0it4Hu24qwsfHB66urso8JBERERERESlIqYMvoqKiuPA2EREREREpTFSOl1eIiopCeHg4EhISIBKJYGpqis8++wx16tQp8TE5yp6IiIiIiEhgERER+O2333Dq1Cnp6gaSUXWSSm+VKlXQo0cPDBkyBFZWVgodv8iK3vr16xU62P379xXan4iIiIiICFDymLJS7MmTJ1i9ejXOnDkDPT09tGzZEoMHD0bt2rVhYmKCnJwcvH37Fk+ePMHt27dx8OBB7N27F1999RVmzpxZYIk7eYqs6Hl5eUEkEkGR+VrKc5MrERERERFRURwdHVG/fn0sX74cXbt2hYGBQZH7p6am4tSpU9i9ezccHR1x9+7dYuVTZEVPT08PZmZmmDBhQrEOduDAAYSEhBRrXyIiIiIiIgmtctJgtH79enz55ZfF3t/AwAB9+/ZF3759cfbs2WKnK7KiV79+ffzzzz/o27dvsQ528+ZNVvSIiIiIiIjkUKSSl1+XLl2KvW+RFb0GDRrg7t27ePbsGT755JMSF4g0U2leh4U0E2OOhMR4IyEx3oiA8tGeJ5wiK3pNmjSBn58fIiIiilXRa9GihdIKRqUfF3clIXFBYRIS442ExHgjIfGmQumWk5OD7du34+DBg3j+/DmqV6+Or7/+Gm5ubtDRUWzBBFGOIjOtEOXBHyUSEi+ESEiMNxIS442EVJorekGmgwTNr9Wr/YLmVxyenp7Yt28fhgwZgk8++QT/+9//cODAATg7O2P27NkKHYvr6BEREREREQkoOTkZlSpVKrDd19cXq1atgoODg3Rb5cqV8ccffyhc0Ssvy1UQEREREVEppiUSCfpQJ0dHR4Vm0CwJtugREREREREJaNSoUZg5cyYcHBywcOFCVKtWDQDQq1cvzJo1C0OHDkWNGjXw8OFD7N+/H8OHD1c4D7boESnoacxTTJ3mjrbtbOHQsR0Wfj8fb9++LVbaGzeuY5jzENjatUI3x6+weYs3srKyCuznd8oP/Qb2Reu2LdHrayfsP/CHsk+DyhDGHAmJ8UZCYrxRXiKBH+o0atQoHD9+HKmpqXB0dMQff+TG5aRJkzBq1CicOHECy5YtQ0BAANzc3PDtt98qnAcnY6ESK48Dx1NSUjBgUD+YmJhg4oTJSEtLxTqPdahevTp2btsFURHdAO7dv4cRo1zQ5csu6NunP8IjwrHeYy1chrvCfcpU6X4XLp7HN9OnYvhQZ3Ts2Am3bgVj8xZvLJi3EP37DRDiNEul8jpZAWNOPRhvjDchMd4Yb0IqzZOxhFQZLGh+Ngmlo9L/559/YsWKFbC0tMRPP/0ES0tLpRyXXTc10Llz57Bu3TpERUXB3Nwcbm5uGDBA9sssOTkZnp6e8Pf3R0JCAqpVq4axY8eWqFm4PDl4+CDi4uOwc8dumFU3AwCYmdXAiFEuCLgUgA7tO8hN673ZC3U+rYNlS1ZAS0sLbWzbIC01FZu3eMPF2RUmJiYAAM+NHnCwd8CsmbkDbm1b2+LlyxfY6LUBfb7uC21tbZWfJ5UejDkSEuONhMR4o/xEovLZ2bB3795wcHDAihUr0LdvX7i5uWH8+PEKL6eQX/l8NTVYaGgo3N3d0bVrVxw7dgyurq5YtGiRzGDP9+/fY+zYsQgODsayZcvg7++PdevW4bPPPlNjycuGgEsX0bJFS+kPEgA0b9Yc5uYWuBhwQW66zMxMXL9xDd26doeW1n8fO8ceTsjIyMC161cBALGxsQgPD0eP7o4y6R0dnZCQkICwsLvKPSEq9RhzJCTGGwmJ8Ub0n8qVK2PlypXw8vLC0aNH0adPH4SEhHzUMVnR0zA7d+5Ey5Yt4e7uDisrKzg7O8PJyQlbt26V7nP48GE8evQIPj4+aNeuHWrWrIlmzZrB1tZWjSUvGyIjI2BlWa/AditLS0RGRspNFx0djYyMDFhZWclsNzc3h56ePiIiI3KPH5X7r5WVbB6WlrnpIqLk50GaiTFHQmK8kZAYb1SeZWdnY+fOnRg2bBj69u2LxYsX49WrV/jiiy/g6+uL9u3bw8XFBT/99BOSk5NLlAcrehomJCQE9vb2MtscHBwQFhaGzMxMAMDZs2fRpEkT7Ny5E+3bt0fXrl2xZMkSpKSkqKPIZUpiYiIMDQ0LbDc0NMLbRPmDxxOTEqX75WdkZIjEfweeJyZK9pPNw+jfdInFHKBOmoMxR0JivJGQGG+Un0ikJehDnTw8PLB69WrUrl0btra28Pf3x8SJEwEAFSpUwKxZs7B//36EhobCyckJ586dUzgPhTp+vnnzBocOHcKdO3eQmJhY6MxGIpEIu3btUrggpBzx8fGoUqWKzLZq1aohMzMTr1+/RvXq1fHkyRPExMRAV1cXnp6eePv2LRYvXoyXL1/Cw8NDTSUnIiIiIiofjhw5gjFjxmD69OkAgK+++gouLi6IjIyUTsbSsGFDHDhwADt37sSMGTMU7spZ7IpeREQEXF1d8erVKxQ1UWdRMyRR6ZCTkwORSIQ1a9ZI73ItWLAAbm5uiI+PR9WqVdVcwtLLyMgISUlJBbYnJSXC2MhYfrp/7x4m/XsXMq/ExCQYGRtLj5+7n2wekruXkv2o/GDMkZAYbyQkxhvlJ1L7ogfCSU9Pl7nmrlKlCnJycpCeni6zn5aWFkaPHo2uXbsqnEex2yx//vlnJCQkYNy4cTh79izu3buHv//+u8DjwYMHCheClKdq1apISEiQ2RYfHw8dHR1UrlwZAFC9enWYmZnJdGWQ3DmIjY0VrrBlkGVdS0T82+c/r4jISFjWrSs3Xa1atSAWiwuMOYiNjUV6ehos6+a+/nX//TcyUjYPyd+S/aj8YMyRkBhvJCTGG5VndnZ22Lx5M44ePYrz589j0aJFqFatGurVKzhuFQBq1qypcB7FrugFBQWhY8eO+Pbbb1GzZk1OR1tK2djY4MqVKzLbLl26hCZNmkAsFgMAWrRogZcvX8qMyXv8+DEAwMLCQrCylkXtHTogODgIL+NeSrfduROK2NgYtG/fUW46sViMtm3scOq0P7Kzs6Xb/U6dhFgshl3bLwAAFuYWsLKqBz9/P5n0fv5+MDU1ReNGjZV7QlTqMeZISIw3EhLjjQoQaQn7UKNFixahYcOGmDdvHiZOnIiEhAR4eHhAV1d56xwW+wxzcnIKzG5Epc/IkSMRFBSEDRs2IDIyEvv27YOvry/Gjh0r3WfYsGHQ0dHB3Llz8ejRIwQFBWH58uVwdHQsML6PZPXvNwBVq1TFtOlTEXApAKfPnMKc+bPRrGkzmfV+vH280KJ1c5kW0vFuExAZFYn5C+fhZuBN/Pr7Pvhs2Qzn4S7S1lYAmDxxCgIuXcSqNT8jMCgQ3j5eOHzkECZOmPzR66lQ2cOYIyEx3khIjDcqz0xNTeHj44OQkBAEBgbi5MmTsLGxUWoeopyiBtzl4eLiAkNDQ2zatEmpBSDlO3v2LNatW4fHjx+jRo0aGD9+PAYOHCizz927d7F8+XKEhYXB1NQUXbp0wfTp01GxYsVi55OekqHsopcJ0dHRWLlqBYKCA6Gjo4MO7Tti5nezpIuzAoCX9yZ4+3jhpK8/LMz/ayW9dv0qPDzXIzwiHCYmJujfdwDGjXUr0EJ+0u8EtmzbgujoJ6hhVgPOw10wZPBQoU6xVNKrqMuYY8wJhvHGeBMS443xJiS9isprMVK2u2YjBc2vyYudguYntGJX9K5fv46xY8di27ZtaNOmjarLRWVAef1RIvUozxdCJDzGGwmJ8UZCYkXvP5pe0St2m/Xz58/RuXNnjBkzBk5OTmjUqJF0NqP8+vTpo6zyERERERFROcDZ+5Wr2C16DRo0gEgkkllaIf+bIZm2nzNvlg+8+0hC4h1vEhLjjYTEeCMhleYWvbAaowTNr/HzHYLmJ7Rit+gtX75cleUgIiIiIqJyTFT8eSKpGIpd0evbt68qy0FERERERERKwnlliYiIiIhI/ThGT6kUruilpaXh9OnTePDgARITE2FoaIiGDRviq6++goGBgSrKSEREREREpLFSU1Ph6+uLx48f482bN8g/jYpIJMKyZcsUOmaxJ2MBgIsXL2L27Nl4+/ZtgUlZjI2NsXz5cnTq1EmhAlDZxYHjJCROVkBCYryRkBhvJKTSPBnLfXM3QfNrGOsjaH7y3LlzB+PHj8fr16/l7lOSCS+LXdG7d+8ehgwZguzsbDg5OaFt27aoVq0a4uLicP36dZw4cQJaWlr47bff0LhxY4UKQURERERE5Vt5regNHToUjx49wpIlS9C2bVuYmJgo5bjF7rrp7e0NkUiEffv2oXnz5jLP9evXD8OHD4eLiws2b94MT09PpRSOSjfefSQh8Y43CYnxRkJivJGQSnOLXnmddfPevXsYP348unfvrtTjFvvVDAoKQvfu3QtU8iSaNWuGbt26ISgoSFllIyIiIiIi0miVKlVSWiteXsWu6CUlJeGTTz4pch9zc3MkJyd/dKGIiIiIiIjKg6+++gqXL19W+nGLXdGrXr067ty5U+Q+YWFhqFat2kcXioiIiIiIyheRSCToo7SYOXMmXr16hcWLF+PJkycFZtwsqWKP0evQoQN+//13+Pj4YMyYMdDW1pY+l52djZ07d+Lq1asYMmSIUgpGRERERESk6Vq1agWRSIQ7d+7g119/LXQfkUiE+/fvK3TcYlf0Jk2ahLNnz2Lt2rX4/fff0apVK1SrVg3x8fEIDg5GTEwMqlatiokTJypUAKKy5mnMU/y8aiVuBt6AWCxGxw4dMePbWTA2Nv5g2hs3rmO95zqER4SjcuXK6Ne3P8aOHidz4wQA/E75YctWH0RHP0ENsxpwcXbFoIGDVXVKVMox5khIjDcSEuON8hKJyudkLH369FFJC6NC6+g9ffoU33//Pa5cuVLguXbt2uGHH35ArVq1lFpAUty5c+ewbt06REVFwdzcHG5ubhgwYID0eRcXF9y8ebNAunr16uHEiRPFzqc8zhCWkpKCAYP6wcTEBBMnTEZaWirWeaxD9erVsXPbriI/pPfu38OIUS7o8mUX9O3TH+ER4VjvsRYuw13hPmWqdL8LF8/jm+lTMXyoMzp27IRbt4KxeYs3FsxbiP79Bsg9vqYrr7PSMebUg/HGeBMS443xJqTSPOvm/2pOFjQ/66cbBc1PaMVu0QOAmjVrYtu2bXjx4gXu37+PpKQkGBoaomHDhjAzM1NVGUkBoaGhcHd3x8SJE+Ho6Ihr165h0aJFMDExQZcuXQAAnp6eyMzMlKbJyMhAr1690KNHD3UVu8w4ePgg4uLjsHPHbphVz415M7MaGDHKBQGXAtChfQe5ab03e6HOp3WwbMkKaGlpoY1tG6SlpmLzFm+4OLtKZ1vy3OgBB3sHzJo5GwBg29oWL1++wEavDejzdd8CdypJszHmSEiMNxIS440KKKcteqpSolfTzMwMnTp1Qu/evdGpUydW8kqRnTt3omXLlnB3d4eVlRWcnZ3h5OSErVu3SvcxMTFBtWrVpI/g4GCkp6ejf//+aix52RBw6SJatmgp/UECgObNmsPc3AIXAy7ITZeZmYnrN66hW9fu0NL672Pn2MMJGRkZuHb9KgAgNjYW4eHh6NHdUSa9o6MTEhISEBZ2V7knRKUeY46ExHgjITHeiFSL1WYNExISAnt7e5ltDg4OCAsLk2nFy+vAgQNwcHD44PIZBERGRsDKsl6B7VaWloiMjJSbLjo6GhkZGbCyspLZbm5uDj09fURERuQePyr3Xysr2TwsLXPTRUTJz4M0E2OOhMR4IyEx3ig/kcD/qUuDBg3QsGFDZGRkSP/+/PPPi3w0bNhQ4Xzkdt2cO3cuRCIRvv32W1StWhVz584t1gFFIhGWLVumcEFIOeLj41GlShWZbdWqVUNmZiZev36N6tWryzwXFRWFmzdvYuNGze6jrCyJiYkwNDQssN3Q0AgxsbHy0yUlSvfLz8jIEIlv30qPn7ufbB5G/6aT7EflB2OOhMR4IyEx3qi8kky+Iuk6rKrJWORW9I4cOQKRSIRx48ahatWqOHLkSLEOyIpe2bJ//35Uq1YNHTt2VHdRiIiIiKgcKy+zbq5YsaLIv5VFbkXv3LlzACAdfyf5m0q3qlWrIiEhQWZbfHw8dHR0ULlyZZntGRkZOHr0KAYNGgQdHYXm5Sm3jIyMkJSUVGB7UlIijI3kTwUtuXuY9O9dyLwSE5Ng9O800kZGkv1k85DcvTQqxnTTpFkYcyQkxhsJifFGpFpyq80WFhawsLCQVgAkfxfnQepjY2NTYPmLS5cuoUmTJhCLxTLbz549i9evX8ssvUBFs6xriYh/+/znFREZCcu6deWmq1WrFsRicYExB7GxsUhPT4NlXUsAQN1//42MlM1D8rdkPyo/GHMkJMYbCYnxRvmJRFqCPtTl/fv3gqQtH+2j5cjIkSMRFBSEDRs2IDIyEvv27YOvry/Gjh1bYN/9+/fDzs6Oax8qoL1DBwQHB+Fl3Evptjt3QhEbG4P27TvKTScWi9G2jR1OnfZHdna2dLvfqZMQi8Wwa/sFAMDC3AJWVvXg5+8nk97P3w+mpqZo3Kixck+ISj3GHAmJ8UZCYrxRedW9e3ccPXoUWVlZxU7z/v17HDx4EN26dSt2mmJX9GJjYz/4eP78OZKTk4udOSlfs2bN4OHhAX9/f/Tu3Rs7duzAjz/+KF1DTyI6OhrXr1/HwIED1VTSsql/vwGoWqUqpk2fioBLATh95hTmzJ+NZk2byaz34+3jhRatmyM2z2Dy8W4TEBkVifkL5+Fm4E38+vs++GzZDOfhLjLdaidPnIKASxexas3PCAwKhLePFw4fOYSJEyazi205xJgjITHeSEiMN8qvvMy62a1bNyxatAjt27fH8uXLceXKFenkQXm9efMGFy9exE8//QR7e3ssXrwYjo6OhRyxcKKcnJyc4uzYoEGDYs8GU7VqVXTt2hWTJ0+GqalpsQtDZUt6Soa6i6AW0dHRWLlqBYKCA6Gjo4MO7Tti5nezpIuzAoCX9yZ4+3jhpK8/LMz/68587fpVeHiuR3hEOExMTNC/7wCMG+tWYMHWk34nsGXbFkRHP0ENsxpwHu6CIYOHCnWKpZJeRV3GHGNOMIw3xpuQGG+MNyHpVdRVdxHkivj0O0Hzs/pnjaD55RUdHY0tW7bg+PHjSE9PB5A7rtTExAQ5OTl4+/attPJnYGCA3r17Y+zYsQoNkyt2RW/OnDmIiYlBYGAgjIyM0KBBA1StWhXx8fH4+++/kZiYCFtbWxgYGODhw4eIjY2Fubk5Dh48yMqehiqvP0qkHuX5QoiEx3gjITHeSEiluqJXZ6ag+Vk9XiVofoVJTk7GxYsXERgYiIiICLx69QoikQiVK1dG/fr1YWtrCwcHBxgYGCh87GJX9CIjIzFkyBAMGTIEEyZMkMksNTUVmzZtwoEDB/D777/j008/xaZNm7BhwwaMGDGi2GvwUdnCHyUSEi+ESEiMNxIS442ExIref0pDRU+Vij1Gb82aNbC2tsa3335boEZpYGCAGTNmoH79+lizZg20tLQwZcoUfP755zh//rzSC01ERERERCSE7OxsbNq0CV999RWaNm2Kjh07YunSpUhLS1N30YpU7IpeUFAQWrRoUeQ+LVq0QGBgoPTvZs2a4fnz5yUvHRERERERlQsikUjQR3Ht3r0bW7duxYwZM3Dy5EksXrwYfn5++Pnnn1X4any8Yk83lJGRgbi4uCL3efnyJTIy/ut6YGBgUGBALBERERERkbolJiYWOtulkZERjIyMpH/funUL7dq1ky5tULNmTfTs2VOmgas0KnaLnrW1Nfz8/PDw4cNCn//777/h7++PBg0aSLfFxMRwIhYiIiIiIvogoRdM37VrF7788ssCj127dsmUq0WLFrh16xb+/vtvALkzZl68eBEdO3ZUw6tUfMVu0Zs8eTLc3NwwYMAA9O7dGy1atECVKlWQkJCA4OBgHD9+HO/fv8ekSZMAAOnp6bhy5Qo6deqkssITERERERGVxIgRI9C3b98C2/O25kn2S01NRb9+/SASifD+/XsMHjwY7u7uQhW1RIo96yYAnDhxAj/88AOSkpJk+rXm5OTA0NAQixYtQq9evQAASUlJuH37NurWrYuaNWsqv+SkdpwhjITEWelISIw3EhLjjYRUmmfdfGw5T9D86kQuK9Z+fn5+WLp0KWbMmIHPP/8cUVFRWL58Ofr164dvvvlGxaUsOYUqegCQkpKCc+fO4cGDB0hKSkKlSpXw+eef48svv0SlSpVUVU4iIiIiItJgpbWi17FjR7i4uGDMmDHSbUePHsWCBQsQEhICsVisqiJ+lGJ33ZSoWLEievfujd69e6uiPFSG8O4jCYl3vElIjDcSEuONhFSaW/SgwEyYQkpLSyswwaTkbwXbzIqUlZWFyMhIvH37ttDjtm7dWqHjKVzRk3j79i1SU1PxySeflPQQREREREREpdqXX34JHx8fWFhY4PPPP0dkZCTWrVuHDh06QFdXORVnHx8fbNmyBcnJyXL3efDggULHVKiil5KSAk9PTxw/fhyvXr2CSCTC/fv3AQChoaHYsGEDpk2bhkaNGilUCCIiIiIiKt9EomIvCCCoBQsWwNjYGCtWrMDLly9RpUoVdO7cWWnj8w4cOIBffvkFrVu3hr29PdauXYuRI0dCR0cHBw8eRK1atTBs2DCFj1vsil5SUhKGDRuGR48e4fPPP0flypUREREhfb5+/foICgqCr68vK3pERERERKQRDAwMMHv2bMyePVslx//tt9/QvHlz7NmzB69fv8batWvRoUMH2NnZwdXVFX369EFWVpbCxy12tdnLywuPHj3CihUrcOTIEXTv3l3meX19fdja2uL69esKF4KIiIiIiMo3EbQEfZQWkZGR0rqVZGWD7OxsAED16tUxaNAg7N69W+HjFvsMz5w5A3t7e/Tp00fuPubm5njx4oXChSAqS57GPMXUae5o284WDh3bYeH38/H27dtipb1x4zqGOQ+BrV0rdHP8Cpu3eBd6h8bvlB/6DeyL1m1botfXTth/4A9lnwaVIYw5EhLjjYTEeCMCtLS0oK+vDyC39RAA3rx5I33ewsIC//zzj+LHLe6Oz58/h7W1dZH7GBgYICkpSeFCkHKdO3cOvXr1QuPGjdG1a1ccPHiwwD6///47nJyc0KxZM9jb22Pu3Ll49eqVGkpbtqSkpGCc2xjExb3EzytWY8G8hQgKDsbU6e4fnHXp3v17mDx1EmrXrg3P9Rvh6jIS27ZvxSavjTL7Xbh4HnPmzkJb27bY6OkFJ8eeWL5yGQ4dLvg+kuZjzJGQGG8kJMYb5ScSiQR9lBbm5uZ4+vQpAEBXVxeffPIJgoKCpM/fvXsXxsbGCh+32GP0Klas+MGKwNOnT1G5cmWFC0HKExoaCnd3d0ycOBGOjo64du0aFi1aBBMTE3Tp0gVAbuvs4sWL8cMPP8DOzg7Pnz/HDz/8gDlz5sDHx0fNZ1C6HTx8EHHxcdi5YzfMqpsBAMzMamDEKBcEXApAh/Yd5Kb13uyFOp/WwbIlK6ClpYU2tm2QlpqKzVu84eLsChMTEwCA50YPONg7YNbM3H7gtq1t8fLlC2z02oA+X/ctML0vaTbGHAmJ8UZCYrwR5WrVqhUuXLiA7777DgDQvXt37Nq1C+np6cjJycGff/6J/v37K3zcYrfoNWnSBOfPn5c75efLly8REBCAli1bKlwIUp6dO3eiZcuWcHd3h5WVFZydneHk5IStW7dK97l16xasra0xcOBA1KxZE61atcLgwYNx584dNZa8bAi4dBEtW7SU/iABQPNmzWFuboGLARfkpsvMzMT1G9fQrWt3aGn997Fz7OGEjIwMXLt+FQAQGxuL8PBw9OjuKJPe0dEJCQkJCAu7q9wTolKPMUdCYryRkBhvlJ9IpCXoo7RwdXXF8OHDkZ6eDgBwd3dH+/btcfToURw7dgxffPGFtBKoiGKfoaurK968eQM3NzeZ2TYBICIiAt988w3evXsHFxcXhQtByhMSEgJ7e3uZbQ4ODggLC0NmZiYAoGXLloiIiMCNGzeQk5ODuLg4nDp1Ch07dlRDicuWyMgIWFnWK7DdytISkZGRctNFR0cjIyMDVlZWMtvNzc2hp6ePiMjcz1RkVO6/VlayeVha5qaLiJKfB2kmxhwJifFGQmK8EeWytLTEkCFDoKenByB3OJy3tzdu3ryJoKAgbN26VdpKrYhid910cHDAlClTsGHDBvTs2RM6OrlJ27Rpg8TEROTk5GDGjBlo0aKFwoUg5YmPj0eVKlVktlWrVg2ZmZl4/fo1qlevji5dumDBggVwc3PD+/fv8f79e3Tq1Ak//fSTmkpddiQmJsLQ0LDAdkNDI8TExspPl5Qo3S8/IyNDJP478DwxUbKfbB5G/6ZLLOYAddIcjDkSEuONhMR4IypaYZ8PRSjUZjllyhTs3LkTnTt3hrGxMbS1tSESidChQwfs2LEDY8eO/ajCkDCCgoKwdu1azJo1C4cOHYKPjw+ePn2KBQsWqLtoRERERFReiUTCPkqRrKwsHD16FDNmzMCoUaNw//59AMDbt29x9OjREq1sUOwWvcDAQFSqVAlt27ZF27ZtFc6IhFG1alUkJCTIbIuPj4eOjo50opy1a9eie/fuGD58OACgQYMGqFixIoYPH46pU6eiZs2agpe7rDAyMip0ZtmkpEQYG8mfDUly9zDp37uQeSUmJsHo35mUjIwk+8nmIbl7aVSCGZeobGPMkZAYbyQkxhtRrrS0NIwePRohISHQ19dHenq6dJmRSpUqYfXq1ejfvz+mT5+u0HEVGqP3xx9cd6S0s7GxwZUrV2S2Xbp0CU2aNIFYLAaQG0x5By8DkP79oemMyzvLupaIiIoosD0iMhKWdevKTVerVi2IxeICYw5iY2ORnp4Gy7qWAIC6//4bGSmbh+RvyX5UfjDmSEiMNxIS443yK68Lpnt6eiIsLAwbNmzAuXPnZK7HtbW10bVrV1y+fFnh4xb7DCtXriwdIEil18iRIxEUFIQNGzYgMjIS+/btg6+vr0y32i+//BIHDx7EkSNHEB0djaCgICxZsgQNGzZka94HtHfogODgILyMeynddudOKGJjY9C+fUe56cRiMdq2scOp0/7Izs6Wbvc7dRJisRh2bb8AAFiYW8DKqh78/P1k0vv5+8HU1BSNGzVW7glRqceYIyEx3khIjDeiXP7+/hg8eDC6dOlS6Pp+tWvXRkxMjMLHLXZFz9bWFiEhIQpnQMJq1qwZPDw84O/vj969e2PHjh348ccfpWvoAcCECRMwYcIEeHt7w8nJCdOmTYOlpSW8vLxK1eKRpVH/fgNQtUpVTJs+FQGXAnD6zCnMmT8bzZo2k1nvx9vHCy1aN0dsnsHk490mIDIqEvMXzsPNwJv49fd98NmyGc7DXWTWn5w8cQoCLl3EqjU/IzAoEN4+Xjh85BAmTpgsnQSJyg/GHAmJ8UZCYrxRfuV1eYWXL1/C2tpa7vP6+vpISUlR+LiinGL21Xv8+DEGDRqEYcOGYfLkydJugFR+padkqLsIahEdHY2Vq1YgKDgQOjo66NC+I2Z+N0tm2lsv703w9vHCSV9/WJhbSLdfu34VHp7rER4RDhMTE/TvOwDjxroVWLD1pN8JbNm2BdHRT1DDrAach7tgyOChQp1iqaRXUZcxx5gTDOON8SYkxhvjTUh6FXXVXQS5YhssFzQ/87/nCpqfPPb29hgyZAimTJmC169fw87ODjt27ICdnR0AYMmSJTh//jzOnTun0HGLXdGbO3cunjx5glu3bqFKlSpo0KABqlWrVvCAIhGWLVumUCGobCqvP0qkHuX5QoiEx3gjITHeSEiluaL37PMVgub3yYM5guYnz8yZMxEcHIwTJ04gPT1dpqIXHR2N3r174+uvv8YPP/yg0HGLXdFr0KBB8Q4oEuHBgwcKFYLKJv4okZB4IURCYryRkBhvJCRW9P5TWip6//zzD/r37w8zMzM4OTnB09MTo0aNgra2Nn7//XdoaWnh6NGj+OSTTxQ6brEreooMALSwsPjwTlTm8UeJhMQLIRIS442ExHgjIZXmit7zhj8Lml+N+7MEza8oYWFhmDdvHh4+fCiz/bPPPsOqVauK3eiWV7FHobLyRkREREREpHyNGzfGn3/+iYcPHyIiIgI5OTmoU6cOGjZsWOJjcrohIiIiIiJSv3I4+3tKSgq+/vprODs7Y+TIkahfvz7q16+vlGOXnnlFiYiIiIiIypGKFSvizZs3qFixotKPzYoeERERERGpn5aWsI9SolmzZrh7967Sj8uum1RipXkwL2kmxhwJifFGQmK8EZVfM2bMwIgRI9CsWTP069cPIiV1YS32rJtE+XGGMBISZ6UjITHeSEiMNxJSab6p8KzpL4Lm98mdbwXNTx5XV1fExsYiJiYGxsbGqF27NvT09GT2EYlE2LVrl0LHZYseERERERGRmjx9+hQApOvkxcfHK+W4rOgRERERERGpyV9//aWS47KiR0RERERE6qdV/pZXUKUiK3pz585V+IAikQjLli0rcYGIiIiIiIjo4xRZ0Tty5IjCB2RFj4iIiIiIFFaOW/SePHmCnTt3IjQ0FImJicjOzpZ5XiQS4ezZswods8iK3vLlyxUvJZGGexrzFD+vWombgTcgFovRsUNHzPh2FoyNjT+Y9saN61jvuQ7hEeGoXLky+vXtj7Gjx0FbW1tmP79Tftiy1QfR0U9Qw6wGXJxdMWjgYFWdEpVyjDkSkirjLTk5GXv37cGVq5fx+J/HAID69a0xcfxEtGrZWpWnRaUU440I+N///odhw4YhIyMDdevWRXR0ND777DO8fv0a8fHxqF27NszMzBQ+LpdX0EDnzp3DunXrEBUVBXNzc7i5uWHAgAHS5zMzM7Ft2zYcPnwYz549Q61atTBp0iT07NlToXzK41TQKSkpGDCoH0xMTDBxwmSkpaVincc6VK9eHTu37Spy3ZN79+9hxCgXdPmyC/r26Y/wiHCs91gLl+GucJ8yVbrfhYvn8c30qRg+1BkdO3bCrVvB2LzFGwvmLUT/fgPkHl/Tldfpxxlz6sF4U028PQp/hAmT3NCnd1+0sGmBHOTg4OGDuHDhPDzWbUB7h/ZCnWqpwnhjvAmpVC+v0Gq9oPl9EvSNoPnJM3nyZAQHB+PXX3+FiYkJvvjiC+zYsQN2dnbYv38/fvnlF+zduxf16tVT6LicjEXDhIaGwt3dHRMnToSjoyOuXbuGRYsWwcTEBF26dAEAeHp64tChQ1i8eDE+++wzXLp0CbNnz4ahoSE6dOig5jMo3Q4ePoi4+Djs3LEbZtVz76yYmdXAiFEuCLgUgA7t5b9+3pu9UOfTOli2ZAW0tLTQxrYN0lJTsXmLN1ycXWFiYgIA8NzoAQd7B8yaORsAYNvaFi9fvsBGrw3o83XfAi0xpNkYcyQkVcebhYUFfI+dhL6+vjSdXdsvMGBwf+zes6vcXniXV4w3olzBwcEYPHgwLC0t8fr1a5nnBg0ahKCgIKxevRre3t4KHVdLmYUk9du5cydatmwJd3d3WFlZwdnZGU5OTti6dat0nyNHjmDMmDHo3LkzatWqhWHDhqFz587w8fFRY8nLhoBLF9GyRUvpDxIANG/WHObmFrgYcEFuuszMTFy/cQ3dunaHltZ/HzvHHk7IyMjAtetXAQCxsbEIDw9Hj+6OMukdHZ2QkJCAsLC7yj0hKvUYcyQkVcebgb6BzEU3AGhra6OBtTVexr1U7slQqcd4o/xytLQEfZQWKSkpqFWrFgBALBYDAFJTU6XPt2jRArdu3VL4uB88w1WrVmHJkiUyAwI3bNiAzz//vMDD1dVV4QKQcoWEhMDe3l5mm4ODA8LCwpCZmQkAyMjIQIUKFWT2qVChAkJDQ6X7UOEiIyNgZVmw2dzK0hKRkZFy00VHRyMjIwNWVlYy283NzaGnp4+IyIjc40fl/mtlJZuHpWVuuogo+XmQZmLMkZBUHW+Fef/+PW6HhsKybt2SF5zKJMYbUa6qVatKF0mvVKkS9PX18fjxY+nziYmJyMrKUvi4RVb0bt68ie3bt8Pc3FzmjgkA5OTkoHr16tKHqakpAgMDERQUpHAhSHni4+NRpUoVmW3VqlVDZmamtCnY3t4eu3fvRkREBLKzs3HlyhWcOXNGZh8qXGJiIgwNDQtsNzQ0wtvEt/LTJSVK98vPyMgQiW/fSo+fu59sHkb/ppPsR+UHY46EpOp4K8z2ndvw7FksXF1GKl5gKtMYb1SAlkjYRynRoEEDhIWFSf+2tbXF7t27ERgYiBs3bmDv3r1o0KCBwsctsqLn5+cHfX19DB5ccOY1kUiEixcvSh9nz56Fvr4+Tpw4oXAhSFjz58+HlZUVevbsicaNG+Onn35Cv379AKBAhZ6IiEhVzl/4C17emzB65Bi0sGmh7uKQhmO8UWnVq1cvvH79Gunp6QCAb775BklJSXB1dcXIkSORlJSE6dOnK3zcIidjuX37Nlq1aoWKFSt+8ED6+vqwt7dHSEiIwoUg5alatSoSEhJktsXHx0NHRweVK1cGAJiammLTpk149+4d3rx5g+rVq2P16tWoVKkSTE1N1VHsMsPIyAhJSUkFticlJcLYSP5U0JLWkaR/70LmlZiYBKN/p5E2MpLsJ5uH5O6lUTGmmybNwpgjIak63vIKDArE7Lmz4NjDSWYWWCo/GG9UQClqZROSo6MjHB3/GyvfsGFDnDhxAmfOnIG2tjbat28vHcOniCKbb6Kjo1G3kD7MOTk5KGxVBjMzM8TExChcCFIeGxsbXLlyRWbbpUuX0KRJE+ngTokKFSrAzMwM79+/x+nTp9G5c2e26H2AZV1LREQV7PsfERlZZH//WrVqQSwWFxhzEBsbi/T0NFjWtQQA1P3338h84wskf0v2o/KDMUdCUnW8Sdy/fw/fTHdHG9u2+PH7n4qcRp80F+ONSL5PPvkErq6uGD58eIkqecAHKnrp6ekFZisCgJEjR+LcuXMFthsYGCAtLa1EBSHlGDlyJIKCgrBhwwZERkZi37598PX1xdixY6X73LlzB6dOnUJ0dDSCgoIwduxYpKSk4Ntvv1VjycuG9g4dEBwcJDNb1507oYiNjUH79h3lphOLxWjbxg6nTvvLTGzkd+okxGIx7Np+AQCwMLeAlVU9+Pn7yaT38/eDqakpGjdqrNwTolKPMUdCUnW8AUBUVCQmTZkI6/rWWLVyNXR0uNJTecV4owLK6Rg9VSmyolepUiW8evWqwHZDQ0NYWFgU2P7q1atidfMk1WnWrBk8PDzg7++P3r17Y8eOHfjxxx+la+gBubNuenh4wNHRERMnToSxsTF+//13fPLJJ2osednQv98AVK1SFdOmT0XApQCcPnMKc+bPRrOmzWTW+/H28UKL1s0RGxsr3TbebQIioyIxf+E83Ay8iV9/3wefLZvhPNxF2q0WACZPnIKASxexas3PCAwKhLePFw4fOYSJEybzB6ocYsyRkFQdbwmvEjBh8nhAJMLYMW54+PB/uHMnVPqg8oXxRqRaopzC+mD+a8iQIUhKSir2BCtOTk6oVKkS/vjjD6UVkEqv9JQMdRdBLaKjo7Fy1QoEBQdCR0cHHdp3xMzvZkkXnwYAL+9N8Pbxwklff1iY/3dT5Nr1q/DwXI/wiHCYmJigf98BGDfWrcCC1Cf9TmDLti2Ijn6CGmY14DzcBUMGDxXqFEslvYq6jDnGnGAYb6qJt8CgQIx1Gy0379Bb5XPdRsYb401IehV11V0EuWLaewman0XAREHzE1qRFb1169Zh8+bN2LRpEzp16lTkgS5cuIAJEyZgwoQJmDZtmrLLSaVQef1RIvUozxdCJDzGGwmJ8UZCYkXvP5pe0Suy6+bQoUOhq6uLOXPm4Nq1a3L3u379OmbPno0KFSpg6NDyeweYiIiIiIioNChy8IWZmRnmzZuH77//HqNHj4aNjQ3atm0LMzMzAMDLly9x7do1hISEICcnB4sXL5Y+R0REREREVGyi8jf7e2pqKrZv345mzZrBwcFBqcf+4Cj7wYMHo0KFCli2bBlu3bpVYJ28nJwcGBkZYd68eejTp49SC0dERERERKSpDAwMsHnzZixatEjpxy7WdGp9+vRBly5d4O/vj1u3biE+Ph5A7uLcLVq0QPfu3VGpUiWlF46IiIiIiMqJcrDkQWFq166NuLg4pR+32PNmV6pUCQMGDMCAAQOUXggiIiIiIqLyaNiwYdi6dSuGDh0qs/zRx1L6AkkXLlxAx44dlX1YIiIiIiLSZOW0Ra9ixYowNjZG9+7d0bdvX3z66afQ19cvsJ+iw+SKXF5BEYGBgfjll19w+/ZtPHjwQBmHJCIiIiKiciLmyy2C5mdxbpyg+cnToEGDD+4jEokUrmN9sEXv/fv38PX1RVhYGHR0dNCyZUt89dVX0uf//vtvrFq1ClevXkVOTg4aNWqkUAGo7Ao9FKbuIlA50qx/Y8YcCYbxRkJivJGQmvVvrO4iyJVTTlv0du/erZLjFlnRS01NhYuLC+7fvw8gd4bNXbt2wdHREWvWrIGXlxc2bNiArKws1K9fH1OnTkWXLl1UUlAiIiIiIiJNY2trq5LjFlnR2759O+7du4fq1atLK3BnzpzByZMnoaenh0OHDsHc3BwzZsyAo6OjSgpIRERERETlQDlt0csrIyMDr1+/RuXKlaGrq/tRxypyVcKzZ8/C1NQUx48fx6JFi7Bo0SIcO3YMxsbGOHz4MOzs7HDy5ElW8oiIiIiIiEro3r17cHV1RYsWLdCxY0cEBwcDABISEjBixAhcvXpV4WMWWdH7559/0KVLFxgbG0u3mZqaSsfozZ07F3p6egpnSkREREREJENLS9hHKfHgwQMMHz4c0dHR+Prrr2Weq1KlCt69e4cjR44ofNwizzAtLQ3Vq1cvsF2yzcrKSuEMiYiIiIiIKNf69etRvXp1+Pr64rvvvkP+RRHatm2LO3fuKHzcEq2jJxLl9p/V1tYuSXKiMuv2wxAcvXgET19GIzU9FSaGJmharxkGfjkYVYyryE23/+wfOPjX/gLbe9r3hqvjCOnffz9+gLOBZxHx9BFi42PxeZ2G+GHcTyo5FyobGHMkJFXHm+/lP3Hp9iW8fPUCGe8zUc2kKuybt0dvh97QFVdQyTlR6cXvNyqgnI7RCw4OhpubGypWrIiMjIwCz5ubm+Ply5cKH/eDFb2YmBgEBgYW2AYAQUFBBWqcANC6dWuFC0LKERgYiG3btiEsLAxxcXH45Zdf4OTkJLPPrVu3sHz5cvz9998wNTXFsGHDMH78eDWVuGxJTktGvZr10MPOEYYGhniW8AwH/zqAu+F38Mu09aigK/9CRUtLCz+5LZXZZmpUWebvsIi7ePjkb9Sr+Rky32eq5ByobGHMkZBUHW8paSmwa/IFapnVQgVxBTyMfohDfx3Ak+f/4NthM1RyTlR68fuNKNe7d+9gaGgo9/nk5OQSHfeDFb2jR4/i6NGjBbbn5OTAxcWlwHaRSCRdjoGEl5qaCmtra/Tv3x9Tpkwp8HxMTAzGjBmDXr16SSt78+fPh56eHkaMGFHIESkv+2YOsG/mIP27oWUjVDWpiqU7FuNeZBhaNGhZZPr6tesX+Xy/TgMw4MtBAIDF235AVnb2xxeayjTGHAlJ1fE2+KuhMn83tmqC9HfpOBZwBGnv0qBfQb/khacyh99vlF95XUevdu3auHfvntznr1+/jnr16il83CIremyZK3s6dOiADh06yH3+t99+g6mpKX788UeIRCLUq1cP4eHh2LZtG1xdXaXdcqn4DA1y78BoKWFQrzKOQZqPMfd/9u47LIprD+P4dymKCIhYUFARUCH2ChIVjC1RYzeaWLD3EktiSUxMMfYKNlCsKcZuYtckttgQjT25UowIFsBCF4W9f6BrVgRZXYayv8/z8OTuzJwzZ7wvy549M+cIJekzb5nXr8JIJVkU8v4mDNP777/P0qVLad26NW+99Rbw/FG5VatWcfToUT7//HOd682yo7d+/frXaKrIy86dO0ejRo20OnRNmjRh2bJlREREUK5cuVxsXf6RlpZKaloat6JvsW73WiqUqUB1p+qvKJPGoOkDiEuMpZR1aZo3aE77Jh0wMpJnXcWrSeaEknI6b6mpqTxOfUxw+DV2/vkrzRu0yPI2PVGwyfubMHT9+/fnzz//ZMCAATg5OaFSqZgxYwb37t0jOjqat99+mx49euhc72tNxiLyr+joaNzc3LS2lSpVCoCoqCjp6GXTuIVjiIyOBMC5XCWm9PsSExPTTI8vU6IMvd7rTUU7R9LS0jh95TQ/7f+Ru/fuMrjTUKWaLfIxyZxQUk7m7UHcfQbPGKh57VW3KQPbD3yxSmFA5P1NaBjonWWFChVi9erVfP/99/zyyy8ULlyY69ev4+DgQL9+/fD29n6tEWrp6AnxGsb3/JSkR8lERkew/dBWpq3+hm8Gf4e5mflLj/eso307be0qdTArVJhdf+6kU9POlCqecRkTIf5LMieUlJN5szS3YsbwWTx6/Ijg8GtsPbQFtRpGfjAqR69J5F3y/iYEmJiY0LdvX/r27au3OuXmZQNTsmRJYmJitLZFR0cDz0f2xKuVt61AlQpVaFr3Hab0n0r4nZscDDygUx1v12iEWq0mLDIsh1opChLJnFBSTubN2NgY53KVqOpYjfaeHRnQfhBHzh0i5GawPi9B5CPy/iY0jFTK/hRwMqJnYOrUqcPevXu1th09ehRbW1vs7e1zqVX5W0nrklgVteJ2zO3Xq6Dgv88IPZPMCSXldN6c7JwAuB1zG+dyus8qJwoWeX8ThuDZ0nXPJr58cSm7zOg6UaZ09AqYhIQEbty4oXkdERHB1atXMTc3x8HBgY8++ogffviBr776it69e/P333+zevVqxowZIzNuvqbI6Egexj+gjI2tTuWOXTiGSmWEk51zDrVMFFSSOaGknM7b1evpSzLZlijz2m0UBYe8vxk4AxhlA+jduzcqlYrz589TqFAhzevMqNVqVCoVV69e1ek80tErYC5duoS3t7fm9bx585g3bx5ubm6sX78ee3t7Vq5cyYwZM+jQoQM2NjYMHTpUr/cDF2Rzvp+Fk50zDmUdMCtkRvidcH49toMSxUrSrH5zADb/tpHNf2zCd/wSzXMCExd/gledptiVsic1LZXAK4H8EfQbrdzfpaR1SU39sfEPuRKW/qHnYcJD0tLSOHnxBADO5ZzluQMDJJkTSsrJvCUmJ/Dd6mk0qe1J2ZJlUavV/H39Krv+3Ekdl7pUktE8gyPvb8JQTZ8+HZVKhalp+qRDM2bMyJHzSEevgHF3d+eff/7J8ph69eqxefNmhVpUsFQuX4UTF//kl6M7SEtLpaR1SRpW96CDZycsnq79k6ZWk5aWhvo/5cqUKMvu47t4EP8AtRrsStnRt21/3m34nlb94XfDmf/TXK1tz14P7zKCpvWa5ej1ibxHMieUlJN5MzUphH3pcuw+vpN7sfcwNTaltI0tH73bk5ZurRS+UpEXyPubeJHaQNY+7Ny5s9brTp065ch5VGq1Wv3qw2D79u24urri6uqa6TH/+9//uHLlCh07dtRX+0Qedn7LpdxugjAgtbpUl8wJxUjehJIkb0JJtbpkvUZhbrrR9UdFz1dhs+5r0+Un2e42T5o0iYMHD2Z5zG+//cbkyZPfuFFCCCGEEEIIA2Ogs27+8MMPWT5G1b9/fzZs2KBzvXodH01NTZUJPYQQQgghhBAim7Zu3YqDg0Om+ytWrMiWLVt0rlevHb3r169jZWWlzyqFEEIIIYQQhsBAR/T+/fdfqlSpkun+SpUq8e+//+pcb5aTsbx4G+Zvv/1GREREhuPS0tKIjIwkKCgILy8vnRshhBBCCCGEEIboyZMnpKSkZLo/JSWFR48e6Vxvlh29bdu2af73s7UbMlu/QaVSUatWLT777DOdGyGEEEIIIYQwcHlolE1JFStW5M8//6Rfv34v3X/s2DEqVKigc71ZdvR+++03IH2RvhYtWtCnTx+tNdqeMTY2xsrKCnNzc50bIIQQQgghhBCGqm3btsyfP5+FCxcyfPhwChUqBMDjx49ZtmwZf/75J2PGjNG53mwvr7B48WLc3d1p0KCBzicRQgghhBBCiKz822ujoudz+L6boufLzOPHj+nfvz+BgYEUK1YMJycnAEJDQ3n48CH169dn1apVmg5gdmW7oyfEi5ITMr+XWAh9MytaSDInFCN5E0qSvAklmRXVrbOgJEPt6EF6Z2/NmjXs3LlTM/FKxYoVadeuHd7e3piamupcZ5a3bv5XZGRktiu1s7PTuSFCCCGEEEIIYYhMTU0ZNGgQgwYN0lud2e7oNWvWLFtr5KlUKq5cufJGjRJCCCGEEEIYGCO9rvxm8LLd0evYseNLO3qxsbFcvXqVyMhI3NzcsLe312sDhRBCCCGEEKKgi46O5tKlSzx8+JCXPV3XsWNHnerLdkdv5syZme5LS0tj6dKlbNiwgVmzZunUACGEEEIIIYQgG3cPFkRpaWl8/fXXbN68mbS0tEyP07Wjp5fxUSMjI0aOHIm9vT1z587VR5VC5Fk3I24yeswoGjZyo0nTRnwx9XMePnyYrbKnTp2kR68PcfOoz7ttWuK3Yjmpqalaxxw6fIgJkz6lTbv3qFW3Bl9M/TwnLkPkE5I3oTTJnFCS5E0ICAgI4Oeff6Zt27bMnDkTtVrN+PHj+fLLL3FwcKB69eqsWrVK53r1eiNsnTp1+PPPP/VZpRB5SkJCAoMGDyAq6i6zZ85lymdfcCYoiNFjR710iP2/Ll+5zIjRw6lQoQK+i5bg3bsvAatWsnTZEq3j/jj0O8EhwdSv1wArK6ucvByRx0nehNIkc0JJkjeRgZFK2Z88Yvv27TRp0oTZs2fj6ekJQLVq1fjoo4/YunUr9+/f5/LlyzrXm+1bN7Pj4cOHJCUl6bNKoaPAwEACAgK4dOkSUVFRzJ8/n7Zt22r2X7t2DR8fHy5fvkxERATjx49n8ODBudji/GXz1s1ERUexZvU6bEvbAmBrW4Y+/Xpz5OgRvDy9Mi273G8ZFR0qMn3aTIyMjHB3cycpMRG/Fcvp3csba2trAKZ+8RVGTx9Gfr99UI5fk8i7JG9CaZI5oSTJm8hPoqOjWbBgAX/88QexsbHY2dkxfvx43n333TeuOzw8nO7duwNo8vrkyRMAzM3N6dy5M5s2bWLgwIE61au3Eb3jx4+ze/duKleurK8qxWtITEzExcWFqVOnvnR/UlIS5cqVY/z48ZQqVUrh1uV/R44epl7depo/SAC1a9XGzs6ew0cOZVru8ePHnDx1gndbvaf5BQZo07otKSkpnDh5XLPNSGacEk9J3oTSJHNCSZI38SK1kUrRn+yKj4+nR48e3LlzBx8fH/bu3cv06dP1tqScmZkZJibp42/m5uaoVCpiYmI0+0uVKsXt27d1rjfbI3re3t4v3Z6amsqtW7e4desWACNGjNC5EUJ/vLy88PLK/BuwmjVrUrNmTQDmzZunVLMKjNDQEFq/2ybDdmcnJ0JDQzMtFx4eTkpKCs7Ozlrb7ezsMDMrQkhoiN7bKvI/yZtQmmROKEnyJnJbbGwssbGxGbZbWVlp3eq7YsUKUlNTWbp0KYUKpS84X65cOb21w87OjvDwcCB9Pb0KFSpw9OhRzeQrx48fp0SJEjrXm+2O3unTp1+6XaVSYWVlRePGjenfvz8eHh46N0KI/CI2NhZLS8sM2y0trYiIjMy8XFys5rgXWVlZEpvNB8+FYZG8CaVJ5oSSJG8iA4Wfm1u7di2LFy/OsH3kyJGMGjVK8/rgwYPUrVuXadOm8dtvv1GsWDFat27N0KFDMTU1feN2NGzYkAMHDjBx4kQAOnTogI+PD3fv3gXgzJkz9O/fX+d6s93R+/vvv3WuXAghhBBCCCHyoj59+tCpU6cM21+cuOfGjRvcuHGD999/Hz8/P27evMnXX39NYmKipnP2Jvr370+jRo1ISUmhUKFCDBkyhHv37vHLL79gZGREt27dGD16tM716nUyFiEKOisrK+Li4jJsj4uLpZhVsczLPf3WMS4u4+0BsbFxWBXLvKwwXJI3oTTJnFCS5E1koPCI3ou3aGZGrVZTsmRJpk2bhrGxMdWrVycmJoY5c+YwYcIEVG+4/l/p0qUpXbq05rWxsTFTpkxhypQpb1Tvaz+hGh8fz61bt4iPj3+jBgiRnzg5OhESlvHe/5DQUJwcHTMtV758eUxNTTM8cxAZGUlychJOjk56b6vI/yRvQmmSOaEkyZvIL0qXLk3FihUxNjbWbHN2diYpKYn79+/nYsuyplNH78mTJ/j7+9OyZUsaNGhAs2bNaNCgAS1btsTf318zDagQBZVnEy+Cgs5wN+quZtuFC+eJjIzA07NppuVMTU1p6O7Bvv17SUtL02zfs283pqameDR8OyebLfIpyZtQmmROKEnyJl6kVqkU/cmuOnXqcOPGDa28Xb9+HXNzc4oXL67zdUZGRr7Wj66yfetmSkoKAwcOJDAwEJVKRdmyZSlVqhRRUVFERESwYMECjh49SkBAgGY2GqG8hIQEbty4oXkdERHB1atXMTc3x8HBgZSUFEJC0r89S0lJ4e7du1y9ehVTU1MqVaqUW83ON7p07spPG35kzNjRDB0ynOTkJBb6LKBWzVpa6/0s91+G/wo/du7YrZl6d8jgofTt783nX3xGp46dCQ65hv8KP3r17K31JhEZGcnlK5cASEpOIvLWLQ4c3A9AvXr1sSluo+AVi9wkeRNKk8wJJUneRH7Rv39/unfvznfffUfPnj25efMmixcvpmfPnq9122azZs1eq9zVq1d1Ol6lVqvV2TnQ39+f+fPn07RpUyZNmkTFihU1+27cuMHMmTP5448/GDt2rCzAnYtOnTr10qUw3NzcWL9+PTdv3qR58+YZ9tvb2/P777/rdK7khJTXbmd+Fh4ezqw5MzkTFIiJiQlenk35dPwEzeKsAMuWL2W5/zJ279yLvZ29ZvuJk8fx8V1EcEgw1tbWdOnUlUEDB2vdCrDjl+18+dUXLz33Sv9VNKjfIMeuLS8zK1rIIDMnecsdhpo3kMzlBsmb5E1JZkXz7oBM6PBfFT2f09J22T726NGjzJ8/n+DgYGxtbenYsSNDhgx5rVk3fX19X6ujN3LkSJ2Oz3ZHr1279H+IHTt2vHTxybS0NDp06ADAr78q+3+SyB2G+kdJ5A5D/iAklCd5E0qSvAklSUfvOV06evlRtp/Ru3HjBp6eni/t5AEYGRnh6empddugEEIIIYQQQgjlZfsZPVNTUxITE7M8JikpCRMTWbFBCCGEEEIIoaM3XKYgv3rVRCsqlYrChQtTvHhxnW75zHavzMXFhX379jFq1ChsbDI+uHrv3j327duHq6trtk8uhBBCCCGEEIYsu5OzmJmZ4eHhwejRo7PV58r2rZs9e/bk3r17dO3alU2bNhEeHk5ycjLh4eFs2bKFbt26ce/ePXr27JndKoUQQgghhBACALWRsj95xYgRI6hatSoqlYomTZrg7e2Nt7c3jRs3RqVSUa1aNfr27Yu7uzuHDx/mo48+4sqVK6+sN9sjem3atOHvv//G39+fL7/8MsN+tVrNwIEDadOmjW5XJoQQQgghhBAGytnZmR9++IEdO3ZQuXJlrX3//PMP3t7eDBw4kIkTJ/L333/z0UcfsWTJEpYsWZJlvTo9UDdu3DiaNWvG5s2buXLlCvHx8VhYWFC1alW6dOlCnTp1dL8yIYQQQgghhMHTZRHzgsTPz4+ePXtm6ORB+uNzPXr0YNmyZbz33nu4urrSrVs3tm/f/sp6dZ45pXbt2tSuXVvXYkIIIYQQQgghXhAWFvbSOVCeKVGiBGFhYZrXzs7OJCQkvLJemSJTvLa8vA6LKJgkc0JJkjehJMmbEICRYY7olSxZkoMHD750rhO1Ws2BAwcoWbKkZtu9e/ewtrZ+Zb06d/RSU1MJCwvj4cOHpKWlvfSYBg0a6FqtyIeGqirmdhOEAVmuvi6ZE4qRvAklSd6Ekparr+d2E8QLunTpgq+vL4MHD8bb25uKFSsC6SN969at4/Tp04wcOVJz/KFDh7I166ZOHb0lS5awdu1a4uLisjzu6tWrulQrhBBCCCGEMHBqwxzQY9iwYdy9e5eff/6Zo0ePau1Tq9V069aN4cOHA/Do0SM6duxI1apVX1lvtjt6K1aswNfXF0tLSzp06ECZMmVkcXQhhBBCCCGEeANGRkZ8/fXX9O7dmz/++IObN28CYG9vT7NmzahUqZLm2MKFC/Phhx9mq95s99Q2bdqEra0t27Zty/JhQSGEEEIIIYTQldpAn9F7plKlSlqdujeV7aUCb926RYsWLaSTJ4QQQgghhBB5XLZH9EqWLMmTJ09ysi1C5DnW9mV4b9IwKrrVwr7WW5gWLpzhgfnCFkV5/6sxVHSrRYW61Slc1JzPKzYm5t+b2TpHhbrV6TRrEk4edUl9/ITLew+zedy3PLx1V3OMa/NGvN3vAxw96lKsbGke3LzFua372D3Nl0fxr55eV+QPkjehJMmbUJLkTWSHoa6jl1OyPaL33nvvcfz4cVJSUnKyPULkKaUrVaRO1zbE3onm+unzLz3GokRxPPp2JSUxmWuHT+lUv20VJ8Yd/hkjY2NWdh/JT8On4Ohem7G//4RJ4cKa45oM6UERayt2fb0I3/f68Pui1TQa2J3R+9ahkjfFAkPyJpQkeRNKkrwJobxsj+iNHj2a8+fPM3r0aD7//HPKly+fk+0SrykwMJCAgAAuXbpEVFQU8+fPp23btpr9mzdvZvv27Vy7do0nT55QuXJlhg4dStOmTXOv0XnYtSOnmFg2fbmQ1p+PpHITtwzHxPx7k09K1gHArWdHqrd5J9v1t5owhJTEJJa835+UxCQAbv8dwudnd9F4YHcOLVkHwE/DvyA++p5Wu+Kj7zNwgy/OjRsQfPT0a1+jyDskb0JJkjehJMmbyBbpbOtVph295s2bZ9j25MkTzp07x+HDh7G0tMTS0jLDMSqVioMHD+q3lSLbEhMTcXFxoUuXLlrrbTxz6tQpWrVqxaRJk7CwsGDr1q0MHz6cdevWUb9+/Vxocd6mVqtztP6K7rUJ/TNI80cJIPzcZeKj71GrYyvNH6b//lF65kbQRSD9dhhRMEjehJIkb0JJkjchlJdpR+9lv5DGxsaULVs2y2Ny+hdZZM3LywsvL69M98+ZM0fr9bhx4zh69CgHDx6Ujl4uUKem8STlcYbtTx6lYFetSpZlK3mmfxt6+2pwjrRNFDySN6EkyZtQkuRNiIwy7ej9/vvvSrZD5BK1Wk18fDxWVla53RSDdOd/oTjUr4HKyAh1WhoAxcvbYVW2NKmPM/7BesayVAnafzueqweOcvP8FaWaK/I5yZtQkuRNKEnyVjCosz17iMgO+ec0cAEBAcTExNChQ4fcbopB+sNnDaWcHei28EusbEtRulJF+q6dhzotDXXay0fHTQoXZvCWZaiMjFjXf4LCLRb5meRNKEnyJpQkeRP5maurK2+99VaWP3Xq1KFNmzZ899133LlzJ1v1Zruj5+3tzfbt27M8ZseOHXh7e2e3SpHLtm/fjq+vLwsWLMDe3j63m2OQgo8FsvHjr/Ho9wGzbwfy1T+/E3c3hku7/9CaDvoZI2NjBm1cTLmarixu3Zf7N2/lQqtFfiV5E0qSvAklSd4KBrVKpehPXtGxY0eqVKmCWq3GycmJ5s2b07x5cxwdHVGr1bi4uNCkSROMjY1Zv349nTp1Ijw8/JX1ZnvWzdOnT+PmlnGGpP+KjIwkMDAwu1WKXLRp0yamTZuGj49Pls/0iZz3u89qjvj9SOnKFYmPvkfs7SimXj5AyJ9nMhzbZ81c3mrZhMWt+xL+1+VcaK3I7yRvQkmSN6EkyZvIrzp06MCBAwfw9/fH09NTa9/hw4cZP348kydPxt3dnUOHDjFy5EgWLVrE3Llzs6xXr7duJicnY2xsrM8qRQ744YcfpJOXxzx59IjIS/8QezuKt1o0pmzVyhz1+1HrmO4+X1H/w3YEfDiK/x0+mTsNFQWC5E0oSfImlCR5y+eMVMr+5BGLFi2ie/fuGTp5kD7R4gcffMD8+fMBaNq0KZ07d+bkyVdnN9sjekCmC0mq1WoiIyM5cuSI1qycQnkJCQncuHFD8zoiIoKrV69ibm6Og4MDq1atYt68eXz33XdUrVqVqKgoAExNTbG2ts6lVudtdbu0BtDM2vXsdfT1m5opmau915TCRYtQsUGt9NetmxIfFUNc1D2uHUlf9NWmgj3fhhxm1zc+7P7WR7Ot0cDuhJ04S+qTVJwb1efdiUM5OH+l1jeQ704cxjuj+nJ46Xpi70Tj6F5Hs+/+zVs8iLidw/8KQimSN6EkyZtQkuRNiJe7evUq7du3z3R/+fLl+emnnzSvq1atytatW19Zb5YdPVdXV63O3eLFi1m8eHGmx6vVaoYMGfLKk4qcc+nSJa3nJOfNm8e8efNwc3Nj/fr1fP/99zx58oSJEydqlXu2X2Q0ePOyl74+sWYza/t9AkCPZdMoUbGc5pgey6YB8L9DJ5n/zodA+hclxiYmGBk9H0h/kpKCc6P6NB3hTSHzItz5J5SfR3/FsRXPf5kBqr2XPvLqNbw3XsN7a+3b+dVCdn69UA9XKvICyZtQkuRNKEnyJl5FnXcG2RRlaWnJyZMn6dGjx0v3nzhxAgsLC83ruLi4l65n/iKVOouF73r3fv4LcObMGcqWLfvSSTuMjY2xtrbGw8ODDz74QOsXTxRcQ1UVc7sJwoAsV1+XzAnFSN6EkiRvQknL1ddzuwmZuvL5AUXPV/W7loqeLzMzZsxg3bp1fPDBB/Tt2xcHBwdUKhXXr19nzZo1bNq0CW9vbyZPngzAwIEDefTo0SsHabIc0ftvYVdXVzp37szIkSP1cDlCCCGEEEII8Zw6Dz03p6SxY8cSFhbGxo0b2bRpk2bQLC0tDbVaTePGjRk7diwAjx49omrVqtSrV++V9Wb7Gb3ffvtNFtUWQgghhBBCCD0yMzPD39+fw4cP88cff3Dz5k0A7O3tadasmdbkiYULF2bcuHHZqjfbHT1ZZ00IIYQQQgiRY/LQ2na5wcvLS68z4mfa0Vu8eDEqlYqePXtibW2d5SQs/6VSqRgxYoTeGiiEEEIIIYQQQjev7Oi1adNGOnpCCCGEEEKIHGWoz+gBREZG8vPPP3P9+nUePHjAi/NlqlQq1q5dq1OdmXb01q1bB4CdnZ3WayGEEEIIIYQQ+nH48GFGjhzJ48ePMTc319va1pl29Nzc3LJ8LYQQQgghhBD6Yqjr6M2fP5/ixYuzZMkSatSoobd6sz0ZixAvysvrsIiCSTInlCR5E0qSvAlhuEJDQxkzZoxeO3mgQ0evWbNmeHh44O7ujoeHB6VKldJrQ0T+k5yQkttNEAbErGghyZxQjORNKEnyJpRkVrRQbjdBvMDGxgZTU1O915vtjt6jR4/YsmULW7duBcDR0REPDw8aNmyIu7u7rLEnhBBCCCGEeH0GOhlLhw4d2L9/P97e3nqtV6V+cUqXLFy7do0TJ05w/PhxgoKCiIuLQ6VSYWRkhIuLi6bj16RJE702UuRN8u2jUJJ84y2UJHkTSpK8CSXl5RG9i9/+oej5anzxjqLny0xYWBiTJk3CxsYGb29vypUrh7GxcYbjnk2SmV06dfT+Ky0tjUuXLnHixAlOnjzJ2bNnSUlJQaVSceXKldepUuQz8kdJKEk+CAklSd6EkiRvQkl5uaN3YdohRc9Xc0pTRc+XGVdXV1QqFWq1GlUWi8ZfvXpVp3pfezIWIyMjzM3NKVKkCIULF8bExIRHjx5lWPNBCCGEEEIIIcTLjRgxIssO3uvSqaMXGRnJiRMnNKN4MTExqNVq7OzsaNWqlebWTSEKspsRN5k9ZxanA09hampKU6+mfDJuAsWKFXtl2VOnTrLIdyHBIcEUL16czp26MLD/oAzD83v27WHFSn/Cw29QxrYMvXt50+2D7jl1SSKPk8wJJeVk3uLj4/n+h/X8efwY1/+9DkCVKi4MGzKM+vUa5ORliTxK8ib+y1AXTB81alSO1JvtWzdbtWpFeHg4AMWLF9fMvtmwYUMqVKiQI40TeZsh3maSkJBA126dsba2ZtjQESQlJbLQZyGlS5dmTcDaLL+NuXzlMn369aZF8xZ06tiF4JBgFvksoHdPb0aNHK057tDhP/h47Gh6ftSLpk3f4ezZIPxWLGfKZ1/QpXNXJS4zTzLUW5skc7lD8pYzebsWfI2hwwfTsX0n6tapixo1m7du5tChP/BZuBjPJp5KXWqeInmTvCkpL9+6eX76YUXPV+szL0XPp7Rsj+jduHEDlUrF22+/TZ8+fXBzc8PMzCwn2yZeQ2BgIAEBAVy6dImoqCjmz59P27ZtNfsPHjzI8uXLuXHjBsnJydjb2/PBBx/Qv3//XGx1/rF562aioqNYs3odtqVtAbC1LUOffr05cvQIXp6Zv2Es91tGRYeKTJ82EyMjI9zd3ElKTMRvxXJ69/LG2toaAN8lPjRp3IQJn04EwK2BG3fv3mHJssV07NDppQ/nioJLMieUlNN5s7e3Z+eO3RQpUkRTzqPh23Tt3oV169ca7AdvQyV5Ey8ylAXTIyMjgeeTqzx7/Sq6TsZilN0Dhw8fTp06dTh16hRDhgyhQYMG9OrVi8WLFxMUFERqaqpOJxY5IzExERcXF6ZOnfrS/cWKFWPgwIH88MMP7Nq1iyFDhuDj48P69esVbmn+dOToYerVraf5gwRQu1Zt7OzsOXzkUKblHj9+zMlTJ3i31XsYGT3/tWvTui0pKSmcOHkcSP9FDw4OpvV7bbTKt2nTlpiYGC5duqjfCxJ5nmROKCmn82ZexFzrQzeAsbExri4u3I26q9+LEXme5E0YqmbNmtGiRQtSUlI0r5s3b/7KH11le0Rv9OjRjB49msTERAIDAzl58iQnT55kyZIlLFmyhCJFilC/fn08PDzo16+fzg0R+uHl5YWXV+bfgDVooH1Pevny5Tl48CCBgYH07t07p5uX74WGhtD63TYZtjs7OREaGpppufDwcFJSUnB2dtbabmdnh5lZEUJCQ9LrD0v/r7NzJa3jnJzSy4WEhVKrVu03uQSRz0jmhJJyOm8v8+TJE/46fx6XKlVev+EiX5K8iQwM5Bm9Z5OvmJiYaL3WN51n3TQ3N9fqTDx48IAdO3bg7+/PkSNHOHr0qHT08gm1Ws2lS5c4e/YsI0aMyO3m5AuxsbFYWlpm2G5paUVEFsPusXGxmuNeZGVlSezDh5r604/TPofV03LPjhOGQzInlJTTeXuZVWsCuHUrku++nf4aLRb5meRNGKoXJ1/JqclYXmt5hbi4OE6dOsXJkyc5fvw4YWFhmmUVnj3zIfK2OnXq8PjxY1JTUxk5ciQ9e/bM7SYJIYQwMH8c+p1ly5fSv+8A6tapm9vNEQWc5C3vU+fAqJYhy3ZH79myCidOnODKlSukpaWhVqsxNzfH09OThg0b4uHhgaura062V+jJ9u3bSU5O5vz588ybN48yZcrQpUuX3G5WnmdlZUVcXFyG7XFxsRSzynwq6GejI3FPv4X8r9jYOKyeTiNtZfXsOO1zPPv20iob002LgkUyJ5SU03n7r8AzgUycPIE2rdtqzQIrDIfkTYicle2O3rPbMQsVKkS9evU0HbuaNWvKjGz5kIODAwAuLi7ExsYyf/586ehlg5OjEyFhGe/9DwkNxcM98zUky5cvj6mpKaGhoTR75/nDtJGRkSQnJ+Hk6ASA49P/hoaG4Ory/EuT0KfPGzw7ThgOyZxQUk7n7ZkrVy7z8dhRuLs15Oup3+TIsyki75O8iRepsz1NZP7m6uqqcw5VKhVXrlzRqUy2O3qDBw/Gw8ODunXrUrhwYZ1OIvK2tLQ0Hj16lNvNyBc8m3jhu8SHu1F3KV2qNAAXLpwnMjICT8+mmZYzNTWlobsH+/bvpX+/AZpZwvbs242pqSkeDd8GwN7OHmfnSuzZu4c2rZ8vi7Fn7x5sbGyoXq16zl2cyJMkc0JJOZ03gLCwUIaPHIZLFRfmzJqrmYxAGB7JmzBUHTt2VOQLh2wvmC7yh4SEBG7cuAGkh2j8+PE0adIEc3NzHBwc8PPzo2rVqjg4OJCamkpQUBAzZ86kY8eOTJkyRadzGeLirvHx8XTt1hkbGxuGDhlOcnISC30WULJESdauXq/5pV3uvwz/FX7s3LFbs+bJxUsX6dvfm1Yt36VTx84Eh1xjkc9CPvqwB2NGj9Wc47fff2PcJ2Po1bM3Tb3eIejsGfz8lzN50ud069otV647LzDUBYUlc7lD8pYzeYu5F0OPXh/y6FEK3307HUsLC63z16xZS9kLziMkb5I3JeXlBdPPzjum6Pnqjm+s6PmUJh29AubUqVN4e3tn2O7m5sb69evx8fFh165d3L59GxMTEypUqEDnzp356KOPdP6WyxD/KEH6tM6z5szkTFAgJiYmeHk25dPxE7QmIlq2fCnL/Zexe+de7O3sNdtPnDyOj+8igkOCsba2pkunrgwaODjD7c+79+xiRcAKwsNvUMa2DL169ubD7h8pdYl5kqF+EALJXG6QvOVM3gLPBDJwcP9Mz33+rGGu2yh5k7wpSTp6zxlsR++bb75h+PDhlCxZ8rUqPnDgAI8ePeL9999/owaKvMtQ/yiJ3GHIH4SE8iRvQkmSN6GkvNzRC1rwp6Lnqze2kaLnU1qmQzg7d+5k69atdOjQgc6dO1Or1quHt+Pi4ti1axc///wzf//9N59//rleGyuEEEIIIYQQ+VmzZs0wMjJiz549mJqa0rx581eWUalUHDx4UKfzZNrR279/Pz4+PmzcuJGNGzdStmxZ6tSpQ40aNShVqhRWVlY8evSIBw8eEBoayvnz57l48SIpKSk4OzuzfPlyzaLqQgghhBBCCCHA3j79FuRnz6E+e/ZU3175jN6tW7fYsGEDW7duJSoqSqtRz6jVaoyNjWnYsCE9evTgnXfe0cyAJAouuc1EKElubRJKkrwJJUnehJLy8q2bZxYeV/R89ce8/eqD8jGdJmO5du0aQUFB3Lp1i/v372NmZkaJEiVwcXGhfv36WLwwm5Eo2OSPklCSfBASSpK8CSVJ3oSSpKP3XEHv6Ok0zWLlypWpXLlyTrVFCCGEEEIIYahkLXu9klUjhRBCCCGEECIX3bhxgzVr1nD+/HliY2NJS0vT2q/XyViEEEIIIYQQQilqI8Mc0vvnn3/o0aMHKSkpODo6Eh4eTuXKlbl//z7R0dFUqFABW1tbneuVjp54bXn5Hm9RMEnmhJIkb0JJkjchDJePjw+mpqZs2rQJa2tr3n77bT777DM8PDzYuHEj8+fPZ+nSpTrXKx098drkwXGhJJmsQChJ8iaUJHkTSsrLXyqoVYY5ohcUFET37t1xcnLi/v37Wvu6devGmTNnmDt3LsuXL9epXlkDQQghhBBCCCFySUJCAuXLlwfA1NQUgMTERM3+unXrcvbsWZ3rlRE9IYQQQgghRO4z0CGokiVLEh0dDYCFhQVFihTh+vXrmv2xsbGkpqbqXK909IQQQgghhBAil7i6unLp0iXNazc3N9atW0fNmjVJS0vj+++/x9XVVed6DbTfLIQQQgghhMhLVCqVoj95Rbt27bh//z7JyckAfPzxx8TFxeHt7U3fvn2Ji4tj7NixOterUqvVal0KXLx4kQsXLmQ6hKhSqRgxYoTODRH5j6E+OH4z4iaz58zidOApTE1NaerVlE/GTaBYsWKvLHvq1EkW+S4kOCSY4sWL07lTFwb2H4SxsbHWcXv27WHFSn/Cw29QxrYMvXt50+2D7jl1SfmCIU9WIJlTnuQt5/K2YNF8jv15lNu3b5Oamko5+3J06dyVbh90z5BLQyF5y5m8xcfH8/0P6/nz+DGu/3sdgCpVXBg2ZBj16zXIycvK0/LyZCyBy04per4Gw9wVPZ8ubt26xYEDBzA2NsbT01PzDJ8ust3Ri4+PZ+TIkZw6dYqsiqhUKq5evapzQ0T+Y4h/lBISEujarTPW1tYMGzqCpKREFvospHTp0qwJWJvlt0OXr1ymT7/etGjegk4duxAcEswinwX07unNqJGjNccdOvwHH48dTc+PetG06TucPRuE34rlTPnsC7p07qrEZeZJhvpBSDKXOyRvOZe36TOm4eBQkYoOFTE2MebEiROsXb8G7159GDd2vBKXmedI3nImb9eCrzF0+GA6tu9E3Tp1UaNm89bNHDr0Bz4LF+PZxFOpS81T8nRHb/lpRc/XYKiboud7xtvbm2HDhuHh4QHA9u3bqV+/PuXKldPrebL9jN7s2bM5efIk9evXp3PnzpQtW9Zgv3nLywIDAwkICODSpUtERUUxf/582rZt+9JjT548Sb9+/XBwcGDv3r0KtzR/2rx1M1HRUaxZvQ7b0ukLV9ralqFPv94cOXoEL0+vTMsu91tGRYeKTJ82EyMjI9zd3ElKTMRvxXJ69/LG2toaAN8lPjRp3IQJn04EwK2BG3fv3mHJssV07NBJfu8MjGROKEmJvH02eYpWuYbuHty5e5tfft1hsB09Q5XTebO3t2fnjt0UKVJEU86j4dt07d6FdevXGmxHT+S+06dP88EHH2heT548mdmzZ+u9o5ftZ/R+++03qlatyrp16+jcuTMeHh64ubm99EfknsTERFxcXJg6dWqWx927d4/Jkyfz9ttvK9SyguHI0cPUq1tP8wcJoHat2tjZ2XP4yKFMyz1+/JiTp07wbqv3MDJ6/mvXpnVbUlJSOHHyOACRkZEEBwfT+r02WuXbtGlLTEwMly5d1O8FiTxPMieUlNN5y0yxYtYYm8gXCoYmp/NmXsRcq5MHYGxsjKuLC3ej7ur3YoR+qBT+ySWlSpXi5s2bmtc6PkmXbdke0YuLi6N9+/Zav1Ai7/Hy8sLLK/NvwCA9TBMmTOCDDz4gNTWViIgIhVqX/4WGhtD63TYZtjs7OREaGpppufDwcFJSUnB2dtbabmdnh5lZEUJCQ9LrD0v/r7NzJa3jnJzSy4WEhVKrVu03uQSRz0jmhJJyOm//9eTJE5KTkzkdeIpfft3BwAGD3vwCRL6iZN6eefLkCX+dP49LlSqv33Ah3pCHhwfLli3j0qVLWFlZAbBx40aOH8/8SzGVSsX06dN1Ok+2O3oODg7ExMToVLnImwICAnj06BFDhw5lyZIlud2cfCU2NhZLS8sM2y0trYiIjMy8XFys5rgXWVlZEvvwoab+9OO0z2H1tNyz44ThkMwJJeV03p65cOE8vfv2AtI/vAzsP5AB/Qa+SdNFPqRU3v5r1ZoAbt2K5LtvdfvALIQ+TZ48GZVKxfHjx4mOjkalUhEYGEhgYGCmZXK0o9ezZ0/mzZvHnTt3sLW1fXUBkSedP3+eVatWsXXrVhmdFUIIkSsqVa7Mj99vICEhgcAzp1mzdjVGRsYMHyazdouc88eh31m2fCn9+w6gbp26ud0c8RJ5acmDnFS8eHFmzZqlee3q6sqcOXNo166dXs+T7Y6ep6cnJ0+e5KOPPmLEiBFUq1ZNM9T4Ijs7O701UOhPfHw8Y8eOZerUqZQpUya3m5MvWVlZERcXl2F7XFwsxawynwr62ehI3NNvIf8rNjYOq6fTSD/7nXrxHM++vbTKxnTTomCRzAkl5XTenjEvYk61qtWA9Ml/CpkWYpnfUrp90J2SJUu+ySWIfESpvAEEnglk4uQJtGndVmsWWCHygpEjR+Li4qL3erPd0WvWrBkqlQq1Ws2UKVMyPU6lUnHlyhW9NE7oV3h4OBEREVoLLqalpaFWq6latSoLFy6kVatWudjCvM/J0YmQsIz3/oeEhuLh3jDTcuXLl8fU1JTQ0FCavdNcsz0yMpLk5CScHJ0AcHz639DQEFxdXDXHhT593uDZccJwSOaEknI6b5mp+lZVUlNTiYyMkI6eAVEqb1euXObjsaNwd2vI11O/MZhRo3zJQG82GzlyZI7Um+2OXseOHeUXI59zcnLi119/1dr2448/cvToUZYtWyYjsdng2cQL3yU+3I26S+lSpYH0Z00iIyPw9GyaaTlTU1Maunuwb/9e+vcboLltds++3ZiamuLRMH32U3s7e5ydK7Fn7x7atH6+LMaevXuwsbGherXqOXdxIk+SzAkl5XTeMhN0NgiVSoW9vb3erkXkfUrkLSwslOEjh+FSxYU5s+ZiYpLtj75C5HvZXjBd5A8JCQncuHEDSO+cjx8/niZNmmBubo6Dg0OG4319fdm1a9drraNniIu7xsfH07VbZ2xsbBg6ZDjJyUks9FlAyRIlWbt6vebLkOX+y/Bf4cfOHbs1HeiLly7St783rVq+S6eOnQkOucYin4V89GEPxox+Psr62++/Me6TMfTq2ZumXu8QdPYMfv7LmTzpc7p17ZYr150XGOqCwpK53CF5y5m8/e9//zB/4XxatWyFvZ09yY8eceLkcTZu+pmunbtmWGPPUEjeciZvMfdi6NHrQx49SuG7b6djaWGhdf6aNWspe8F5RF5eMP1MwBlFz1d/QH1Fz6c06egVMKdOncLb2zvDdjc3N9avX59hu3T0dBceHs6sOTM5ExSIiYkJXp5N+XT8BM1iwADLli9luf8ydu/ci73d82+oT5w8jo/vIoJDgrG2tqZLp64MGjg4w4LUu/fsYkXACsLDb1DGtgy9evbmw+4fKXWJeZKhfhACyVxukLzlTN5iYqKZM28258+fJzommqLmRalQoQIfdO1O2zZtDXaSMMlbzuQt8EwgAwf3z/Tc588a5jqh0tF7Tjp6L3H79m2uXLmimRa3WrVqMrmHATLUP0oidxjyByGhPMmbUJLkTSgpL3f0glYFKXq+ev3rKXo+pel0o3JERARffvnlSxfze/vtt/n6668pV66c3honhBBCCCGEEEJ32e7oRUVF0aNHD+7cuYO9vT0NGjSgVKlSREVFcebMGf7880969OjBli1bKFWqVE62WQghhBBCCFHQGPi8j4mJifz1119ER0fz9ttvv/EsxNm+GX7p0qXcuXOHTz75hP379zNz5kzGjx/PzJkz2bdvH59++il3795l2bJlb9QgIYQQQgghhMirtm/fjouLCwMGDNBbnT/++COenp7079+fiRMncu3aNQBiYmKoUaMGGzdu1LnObHf0Dh8+TKNGjRg4cGCGh/iNjY0ZMGAAjRo14tChQzo3QgghhBBCCGHgVCplf15DaGgoc+fOpUGDBnq77H379vHNN9/g7u7OtGnT+O8UKiVKlKBJkyYcPHhQ53qz3dGLioqievWs11OqXr06UVFROjdCCCGEEEIIIfKylJQUxo4dy6effqrXeUkCAgJwd3dnyZIlNG/ePMP+6tWra0b4dJHtZ/QsLS2JiIjI8pjIyEgsLS11boQQQgghhBDCsL3mINtri42NJTY2NsN2KysrrKysMmyfMWMGVapUoUOHDpw4cUJv7fjf//7HJ598kun+UqVKERMTo3O92e7o1atXj3379tGjRw/q1q2bYf/58+fZu3cvTZs21bkRQgghhBBCCKGktWvXsnjx4gzbR44cyahRo7S27d+/n2PHjrFt2za9t8PIyIi0tLRM99+9e5ciRYroXG+2O3pDhw7l0KFD9O7dmzZt2uDu7k6pUqWIjo7m9OnT7Nq1C5VKxZAhQ3RuhMif8vI6LKJgkswJJUnehJIkb0Kg+JBenz596NSpU4btL47m3bp1i6lTp7J8+XIsLCz03g5XV1eOHTuGt7d3hn1paWns3buXGjVq6Fxvtjt61apVw8fHh0mTJvHrr7+yc+dOzT61Wk2xYsWYPn36K5/jEwVHzO243G6CMCAlylhK5oRiSpSxJCleFrAWyihiIQumC+XIlwrPZXaL5osuX77MvXv3+OijjzTbno3AVa1alY0bN75RH6hXr16MGzeOhQsX0rFjRyC9fxUaGsqCBQsIDg7O8tbOzKjU/53WJRsSExP57bffuHLlCnFxcVhaWvLWW2/RokULzM3NdW6AyL/kQ7dQknT0hJKkoyeUJB09oaS83NE7u+6couer610nW8fFx8cTGRmptW3hwoXcv3+fr7/+GgcHBwoXLvxGbVmwYAF+fn6a2ziNjIxQq9Wo1WpGjhzJyJEjda4z2yN6z5ibm9OuXTvatWun88mEEEIIIYQQ4qWM8uaK6RYWFlSpUkVrm5WVFY8ePcqw/XWNHTuWVq1a8euvvxIaGoparcbBwYEOHTq81m2b8BodPSGEEEIIIYQQ+lWtWjWqVaumt/oy7eht374dgBYtWmBhYaF5nR3P7i0VQgghhBBCiOxQenmFNzFz5ky91TVjxgw6deqEq6ur3uqELJ7Rc3V1RaVSsXv3bhwdHTWvs6JWq1GpVFy9elWvjRR5k6E+LxV5K4KFPnMJOncGExNTmjTyZPSIsVhZFXtl2U1bNrB560Zu37lFqZKl6di+Mz0/8tb63Xry5Ak/b/qRnbt/4fadW1gXs8atgQdDBg7DxqZETl5anmbIz+hJ5pRnyM/oRUTcZPbcWZwOPIWpqSlenk35ZNwEihV7dd5OnT7JIt+FhIQEU9y6OJ07dWFA/0EYGxtrjvli6uf8uvOXDGUnTZjMh9176PVa8gtDfkbvZsRNZs95nremXjrk7VR63oJDgilePD1vA1/I26HDh9i9ZxeXLl8kIiKC9u3a8+3X3+XkJeV5efkZvXM//KXo+er0rK3o+TLzrJ9VpUoVOnXqRLt27ShR4s3//mY6ojd9+nRUKhWlSpUC0nuaQhi6hMQERo4ZinUxa76ZOoPkpCSW+vky4bNxLPNdmeWXIavXrWTVmhX0/MiburXrcf7CX/itXEpycjID+z9flmTlKj9+2LCO/n0GUbNGbSJv3cR/5TKuBf+PlcvXYGRkpMSlijxCMieUlJCQwMAhAyhubc2sGXNJSkpkke9CPh47itUBa7PM2+Urlxk5ejjNm7VgzKixBIcEs8h3AY9SUhg1YrTWsba2tsyZNU9rm72dfY5ck8i7EhISGDR4ANbW1syemZ63hT4LGT12FGuykbcRo4fTonkLPh79NG8+C0h5lMKokc/z9seh3wkOCaZ+vQbExRnml4X5Sn4a0tOjPXv2sH37dn799VdmzpzJ3Llzady4MR07dqRZs2YUKvR6nfNMO3qdO3fWev2yNSZE3hMYGEhAQACXLl0iKiqK+fPn07ZtW83+rVu3Mnny5Azl9u/fj4ODg5JNzZd2/LqNmJho/BYHUKpUaQBKly7NkBEDOH7iGI3ebvLSco8eJfP9j2vp0K4zQweNAMCtQUPi4uP4/qe1dO3cHWtrawD27t9Nqxbv0a/PQADqUR8TYxO+nfEVN8JvUNGhYo5fp8g7JHNCSVu2biY6Ooo1q9ZhW9oWAFvbMvTt35ujR4/g6emVaVk//2VUdKjI9GkzMTIyws3NncSkRPxXLKd3T29N3gAKmRaiZo1aOX05Io/bvHUzUdFRrFmtnbc+/Xpz5OgRvLLI23I/7by5u7mTlJiI34rl9O71PG9Tv/hK82XV++2DcvyahHgdjo6OjB07lrFjx3Ly5El27NjB/v37OXToEFZWVrRp04YOHTpQp072Zgl9Rr6mLWASExNxcXFh6tSpmR5TqFAhjh07pvVTrlw5BVuZfx0/fpTaNetoPnAD1Khei7Jl7Dh2/Eim5ULDQklKSsKtgbvWdvcGDUlJSeHk6eOabU9Sn1DUvKjWcUWfLs6pVqfp4zJEPiKZE0o6cvQwdevW03zoBqhdqzZ2dvYcPnoo03KPHz/m5KkTtGr1ntYIcJvWbUlJSeHEyeOZlhWG68jRw9TLLG9HDmVa7lne3s1G3uSOhHxGpfBPHtSwYUNmzJjBn3/+yezZs6lRowabNm2iZ8+eOtcl6S9gvLy8GDt2LC1btszyuFKlSmn9/Pd+dpG5sH/DcHR0zrC9YkVHrl8Py7Tcsz80piamWttNTdNfh10P1Wzr8H4n9uzfxYmTf5KQmEBwyDVWrVlBg/ruOFZ00sdliHxEMieUFBoWgrNTpQzbnRydCA0NfUmJdOE3w0lJScHZSTurdmXtMDMrQmhoiNb223du4/lOI+q71aFLt05s2bpZPxcg8pXQ0JfnzdnpFXkLf5o35xfyZpeet5AX8iZEfmRmZoatrS2lS5emUKFC6Lj0OaDD8grNmzd/5TFGRkZYWFjg5OREq1atePfdd3VukMh5jx8/plmzZjx+/JjKlSszbNgwGjRokNvNyhfi4mKxeDrS8V+Wllbcvn0r03LlypXHyMiIy1cv4dGwkWb75auXAIiNfajZNmjAUFRGKj6ZNEbzS12/nhszvp2jr8sQ+YhkTigpNjYWS0vLDNutrKyIvBX5khLPy0F6LjOWteThf/Lm6vIW1apVx9mpEgkJ8ezes4tvv/uaBw8eMKD/QD1chcgvMsubpaUVEZFZ5C0u67zFPnyYYbvIH1418aMhCAsL0zyvd+vWLYyNjWnSpMlrPUaX7Y6eWq3myZMn3L17N72giQnW1tY8ePCAJ0+eAOnPjcTExHD16lV2796Nl5cXS5YskdGiPMTR0ZHp06fj6upKUlISmzZtwtvbm/Xr11O/fv3cbl6BVdS8KG3ee5+fN/1I5UouTyfGOMfGzT8BYKR6Pri+ZdsmNvz8A0MHj6B6tZpERkawImA5U6ZOYt7sRfImKLJFMifyqp49emm9bur1Dqmpqaxc5U+vnr0pXLhwLrVMCCFyx8OHD9m5cyc7duzg4sWLqNVq3nrrLfr06UO7du2wsbF5rXqz3dH75Zdf6NevHxUqVGDcuHHUrl0bIyMj0tLSOHfuHAsWLCAlJYVVq1YRHR3N9OnTOXz4MOvWraNfv36v1Tihf3Xq1NF6kLNevXrcvn2bgIAA6ehlg6WlFfHx8Rm2x8XFYvWSbxb/a9Twsdy/f5/JUz4BwNy8KCOGjmLO/JmUKFESSB9l8V26gP59B9O7R18A6tSqi52dPSNGD85y8g1RMEnmhJKsrKxeOjNhbGwsxbJYzsPKKj2LcU9HWrTLxmVZFqBVy3f57feDhIWF4ur6lo6tFvlVZnmLi3tF3iyzzptVNpZmEHmUgX6x2KhRI1JTUylRogR9+/alU6dOVKlS5Y3rzXZHb8GCBcTFxfHTTz9hYvK8mJGREfXq1WPVqlW0b9+ehQsXMmXKFBYtWkTr1q359ddfpaOXx9WuXZt9+/bldjPyhYoOFbWebXrm+vUwGtR3f0mJ5ywtLZkzcwH37sVw//597O3LERoWDKCZfe5mRPpzBy5VtBfMdK2S/sEn/OYNfVyGyEckc0JJjo5OGZ6ng/TJfRq6N8y0XPly5TE1NSU0LJRm7zx/1CPyViTJyUk4OmbzWU8D/ZBnqJwcnQgJy5i3kNBQPLLKW/mneQt9IW+R6Xlzym7ehMgjWrZsSceOHWnSpIleJxDKdk0HDhygWbNmWp28/ypUqBDvvPMO+/fvB6BIkSJ4eHgQFpb5ZAEib7hy5YpmvUSRtUYeTfjr/FmioqM02y5dvsit25E0zuaoh41NCZydK2FmZsbGLT9ToXwF6tZJH00tU8YOgH/+uapV5u//pb8uW1bWmTI0kjmhJM/GXgSdPcPdqLuabRcunicyMgIvz6aZljM1NaWhuwf79+8lLe35TK179+7G1NQUj4ZvZ3nevfv2YG5ujmNFxze+BpF/eDbxIijohbxdSM+bZzbytu+FvO3Zl728iTzMSOGfPGLBggV4eXnpfZbYbI/oPXjwgMePH2d5zJMnT3jw4IHmdcmSJUlNTX3txgndJSQkcOPG82/gIyIiuHr1Kubm5jg4OLB48WJq1qxJxYoVSUxMZPPmzRw5coQlS5bkYqvzjw7tOrFp689M/Gw8A/oN5lFyMkv9fKlerabW7W2r1qxg9bqVbPxxO2XLlAVg/8G9JCYmUL6cAw8e3Gfv/t0EnQtk0bylml9sm+I2NGvagjXrAwCoVrUGkbduErB6BRXKV6ChW+bfcIqCSTInlNSlc1c2/PwjY8aNZujg4SQnJ7HIdwE1a9bCs8nzNc38/Jfhv9KPX3fsxq5s+pcFgwcNpd8Ab6Z8+RmdOnQmOOQa/iv86NWjN8WLFwfSR/i+mPo577VqTfny5UlMSGTXnp38ceh3xn48Xp7PMzBdOnflpw0/MmbsaIYOSc/bQp8F1KpZS2sNveX+y/Bf4cfOHbuxs0vP25DBQ+nb35vPv/iMTh3/k7eez/MG6aN8l6+kT0KVlJxE5K1bHDiYPihRr159bIq/3rNPQuQH2e7olS9fnv379/Pxxx+/dAa4+Ph49u/fr7UeW1RUFMXkPmlFXbp0CW9vb83refPmMW/ePNzc3Fi/fj1xcXF89dVXREVFYW5uTpUqVVi1ahVvvy3ffmVH0aIW+C5YzkLfuXz59WRMjE1o9HYTPh45TmvCijR1WvqXHC9Mhbtpy89EREZQuFAhatWsjf/S1VRyrqx1zGcTv2TdD6vZtedXVq1dSfHixalXtz6DBw6jcGEzRa5T5B2SOaEkCwsL/JcHMHvuTCZO/gQTExO8PJvyybgJL+RNTWpqqtZ03zWq18B30RJ8Fy9ixOhhWFtb07dvfwYNGKw5pqh5USwtLAlYtYJ79+9hZGRM5UqV+e7bGbRt876i1ypyn4WFBSv8Apg1ZyYTJj3P26fjtfOmTnuaN7TztthnCT6+ixgxKj1v/fr0Z9DAwVrnCDxzmi+/+kLzOjo6mjNnAgFY6b8Km/rS0ctLDGXyr2bNmmFkZMSePXswNTXN1uoGKpWKgwcP6nQelTqbizKsXbuWGTNm4OTkxNChQ6lbty4lS5YkOjqaoKAgli9fzvXr15k0aRJ9+vRBrVbTvHlzKlWqhL+/v06NEvlDzO2MD1ALkVNKlLGUzAnFlChjSVJ8Sm43QxiIIhaFSE6QvAllmBUtlNtNyNT5zZcUPV+trtUVPd8zvXv3BmD16tWYmJhoXr/K+vXrdTpPtkf0+vTpQ1hYGBs2bGDixIkZ9qvVarp160afPn0AiImJoW3btjJSJIQQQgghhBBPvdhh07UDl13ZHtF75syZM2zbto2rV68SHx+PhYUFb731Fh07dpRFtw2MjK4IJcmInlCSjOgJJcmInlBSnh7R26LwiF6X3BnRe1FkZCQ2NjaYmb38cYnk5GTu3buneUY1u7I9ovdM/fr1Zb01IYQQQgghhNCD5s2bM3v2bNq1a/fS/b///jvjx4/n6tWrL92fGZ07ekIIIYQQQgihdwYyGcuLXnWDZVpa2mtNVKNzR+/333/n119/JSQkhKSkJA4cOABASEgIv//+O+3bt8fW1lbnhgghhBBCCCGEIcqqIxcSEoKlpaXOdWa7o6dWq5k0aRK//PILAGZmZiQnJ2v2W1lZsWDBAtRqNYMHD86sGiGEEEIIIYTIwJAG9LZt28a2bds0r5ctW8bGjRszHPfw4UOuXbtGixYtdD5Htpdf//HHH9mxYwedO3fm9OnT9O/fX2t/qVKlqFu3LocPH9a5EUIIIYQQQghhKGJjY7l58yY3b95EpVJx7949zetnPxEREaSlpdGlSxe++uornc+R7RG9zZs34+rqyrRp01CpVC8dXnRwcODYsWM6N0LkTyXK6D6ELMSbkMwJJRWxyLsz04mCJy/PhCiEYgxoSK9Pnz6aZelcXV357LPPMp2M5XVlu6MXFhZG9+7ds7x/tESJEty7d08vDRN537UTN3K7CcKAVPaoIJkTiqnsUUGWVxCKkeUVhJLkS4W85++//86RerPd0TM2NubRo0dZHnPnzh3Mzc3fuFFCCCGEEEIIA2NkOCN6Ssh2R69SpUqcPn0atVr90lG9R48ecfLkSapWrarXBgohhBBCCCFEQXbjxg3WrFnD+fPniY2NJS0tTWu/SqXi4MGDOtWZ7clY2rdvT2hoKNOnT89w4tTUVGbMmMHdu3fp1KmTTg0QQgghhBBCCJVK2Z+84p9//qFTp05s2rSJx48fEx4ejrm5OY8ePSIiIgJjY2PKli2rc73ZHtH78MMP+f3331m/fj179+6laNGiAIwePZq//vqLu3fv0rx5c9q3b69zI4QQQgghhBDCEPn4+GBqasqmTZuwtrbm7bff5rPPPsPDw4ONGzcyf/58li5dqnO9Oj2j5+fnx7Jly/j++++JiooCYP/+/VhZWTF8+HCGDx+ucwOEyE+OBR7h0InfCbn+P2LjYyld0pbmjVrS4d0umJqYZlru4NF9LAyYm2H72/Wb8NnILzWvr98M45f927gW9g//RlynZPFSrJr3fY5ci8gfcjpzACH/BrPix2VcC/uHImZF8GrYDO+u/SlcqLDer0fkfRERN5k9dxanA09hamqKl2dTPhk3gWLFir2y7KnTJ1nku5CQkGCKWxenc6cuDOg/CGNjY80xX0z9nF93/pKh7KQJk/mwew+9XovI+25G3GT2nOd5a+qlQ95OpectOCSY4sXT8zbwhbwB7Nm3hxUr/QkPv0EZ2zL07uVNtw+659QliTeRl4bZFBQUFET37t1xcnLi/v37Wvu6devGmTNnmDt3LsuXL9ep3mx39ABMTEwYNWoUI0eOJCwsjAcPHmBpaYmTk1OGXyqROwIDAwkICODSpUtERUUxf/582rZtq3VMfHw8vr6+7N27l5iYGEqVKsXAgQPp2bNnLrU6/9i2ZxOlS5ahb7dBFC9mw98hV/hpx/eE/BvMxOFTXln+i4+/oZjl8z9elhZWWvtDrl/j3OUgKju6AJCQmKDfCxD5Tk5n7m7MXT6b9SlVHKswZfTXxNyPJmCDHw9iH/Dp0Ml6vx6RtyUkJDBwyACKW1sza8ZckpISWeS7kI/HjmJ1wNosZ96+fOUyI0cPp3mzFowZNZbgkGAW+S7gUUoKo0aM1jrW1taWObPmaW2zt7PPkWsSeVdCQgKDBg/A2tqa2TPT87bQZyGjx45iTTbyNmL0cFo0b8HHo5/mzWcBKY9SGDXyed4OHf6DSZMn0POjXkyaMJmzZ4OYMWs6xsbGdOncVYnLFOKVEhISKF++PACmpulf4iYmJmr2161bl/nz5+tcb7Y7em+99RZt2rRh3rx5qFQqnJycdD6ZyHmJiYm4uLjQpUsXRo4cmWH/kydPGDhwIE+ePGH69Ok4ODgQExPzyhlVRbovx3xLMStrzeuab9VChYq1mwPo130wpUuUzrK8s0MlStqUynT/O2+3oHnjVgD4rJrHX5fP6aXdIv/K6cxt3b0RUxMTPh/9FWaFiwBgYmLKXL8ZfPD+h1Qs56iX6xD5w5atm4mOjmLNqnXYlrYFwNa2DH379+bo0SN4enplWtbPfxkVHSoyfdpMjIyMcHNzJzEpEf8Vy+nd0xtra2vNsYVMC1GzRq2cvhyRx23eupmo6CjWrNbOW59+vTly9AheWeRtuZ923tzd3ElKTMRvxXJ693qeN98lPjRp3IQJn04EwK2BG3fv3mHJssV07NBJBiryGAMd0KNkyZJER0cDYGFhQZEiRbh+/bpmf2xsLKmpqTrXm+3JWIoWLYqdnZ3OJxDK8vLyYuzYsbRs2fKl+7du3cq1a9fw9/enUaNGlCtXjlq1auHm5qZwS/On/37gfqZSxcoAxNyPfuP6jYyy/SspDEROZy7w/CncantoOnkAjeo3xtTElNN/nXzj+kX+cuToYerWraf50A1Qu1Zt7OzsOXz0UKblHj9+zMlTJ2jV6j2t97E2rduSkpLCiZPHc7DVIr86cvQw9TLL25FDmZZ7lrd3X5G3yMhIgoODaf1eG63ybdq0JSYmhkuXLur3goR4Ta6urly6dEnz2s3NjXXr1hEYGMipU6f4/vvvcXV11blenUb0goODdT6ByFsOHjxIjRo1WLNmDdu3b8fMzAxPT0/Gjh2rmWBH6ObSPxcxMjLCzvbVtx2N+WoEsXEPsSleAk/3d+jZyVuegxI601fmkh8lczfmDg72FbXKmJoWomxpO8Ij/s2J5os8LDQshPfebZNhu5OjE6GhoZmWC78ZTkpKCs5Ozlrb7craYWZWhNDQEK3tt+/cxvOdRiQmJOJQsSI9Puwpt9EZoNDQEFq/JG/OTq/IW/jTvDm/kDe79LyFPM1baFj6f52dK2kd5/Q0pyFhodSqVftNLkEIvWjXrh0//PADycnJmJmZ8fHHH9OrVy+8vb0BMDMzY+zYsTrXm+2O3qBBgxg2bBh//vknjRo10vlEIm+4ceMGERERFCpUCF9fXx4+fMi3337L3bt38fHxye3m5Ts3b4WzY/8WWjR+V+s5qBcVt7ahR0dvXJxcMTY25q8r59i+bwth4SF8+8lMBVss8jt9Zi4hMR61Wk1R84xf8lgUtSAuIS7HrkPkTbGxsVhaWmbYbmVlReStyCzLAVhaWmXYZ2VlycPYh5rXri5vUa1adZydKpGQEM/uPbv49ruvefDgAQP6D9TDVYj8IrO8WVpaERGZRd7iss5b7MOHmvrTj9M+h9XTcs+OE3mIgd672aZNG9q0ef6lR9WqVdm1axcHDhzA2NgYT09PzTN8ush2R+/evXs0adKEQYMG0aJFC6pXr06pUqVe+qBsx44ddW6IUMazBe/nzZuneeObMmUKgwcPJjo6mpIlS+ZyC/OP2PhYpi2aSkmbUgz8aEiWx9ar0YB6NRpoXteuVpcS1iXw+2EJl/65SHWXGjndXFEASOZEQdCzRy+t10293iE1NZWVq/zp1bM3hQvLXQ5CCFG2bFnNiN7rynZHb9KkSahUKtRqNfv372f//v0AWh29Z50I6ejlXaVLlyYtLU3r261nE+tERkZKRy+bEpMSmTrvM5IeJTFnyiLMi+h+22sTdy/8flhC8PX/yYdu8Uo5kbmi5hbAy2d3jU+Ix7ZkmTdut8hfrKysiIvLOJIbGxtLMavMR5CtrNJHSOKejrRol43LsixAq5bv8tvvBwkLC8XV9S0dWy3yq8zyFhf3irxZZp03q6dLMzzPpfY5no0IWmVjCQehMAMd0csp2e7ozZgxIyfbIRRSt25d1qxZQ0JCguaZvGez+tjby9TW2fH4cQrTfKZy+24ksz5b8MpZD19FhbypiazlVObMCptRuoQtNyK1n8V7/DiFW3cjaerR7I3OI/IfR0enDM/TAYSGhdLQvWGm5cqXK4+pqSmhYaE0e6e5ZnvkrUiSk5NwdMzmTN3yIc+gODk6ERKWMW8hoaF4ZJW38k/zFvpC3iLT8+b0NG/PchcaGoKry/OJLJ5l3Cm7uRRCzyZP1n35IpVKxfTp03Uqk+2OXqdOnXRukFBeQkICN27c0LyOiIjg6tWrmJub4+DgQI8ePfj++++ZPHkyo0aN4uHDh8yYMYM2bdpQokSJXGx5/pCalsqsZdP5X+jffDdhNhXsHV67rsMn/wCgslMVfTVPFEA5nbkGtd35M/Aog3oMw6ywGQDHg/7k8ZPHuNX2eLPGi3zHs7EXi5f6cDfqLqVLpX+hcOHieSIjI/DybJppOVNTUxq6e7B//1769x2gmQlx797dmJqa4tHw7SzPu3ffHszNzXGsKMt5GBLPJl74LnkhbxfS8+aZjbzt27+X/v2e523PPu282dvZ4+xciT1799Cm9fM1hffs3YONjQ3Vq1XPuYsTr0VlIJOPb9u2TecyOdrRE/nDpUuXtO7nnTdvHvPmzcPNzY3169dja2vLmjVrmDFjBl26dMHGxoYWLVq81kw+hmjZOl9Onv2Tnp36oFar+Tv4imZf2dJ2FLOy5rc/D7AoYC7fTZhNDdf0daK+mDORmm/VwaFcRYyNjTl/+Ry/HNhGg1ruVK38/A9N8qNkzlw4DcCd6Ds8SnnEscAjAFSwc3ijD/kif8rpzHVp3Y1Dx39juu/XdHqvK/cexBCwwY8mbk2pWF4+dBuaLp27suHnHxkzbjRDBw8nOTmJRb4LqFmzFp5Nnq9p5ue/DP+Vfvy6Yzd2ZdOXXho8aCj9Bngz5cvP6NShM8Eh1/Bf4UevHr0pXrw4kD7C98XUz3mvVWvKly9PYkIiu/bs5I9DvzP24/HyfJ6B6dK5Kz9t+JExY0czdEh63hb6LKBWzVpaa+gt91+G/wo/du7YrVnqa8jgofTt783nX3xGp47/yVvP53kDGDFsJOM+GcOcebNp6vUOQWfPsHXbFiZP+hwTE/kYLHLH33//rch5JOEFjLu7O//880+Wx9SoUYMff/xRoRYVLGcvngHgh21r+WHbWq19YwZ8Qosm76JOSyMtLQ21+vm+8nYOHDy2j5j70TxJTaVMyTJ0a9eDD9p216rjYewDZi75Vmvbs9cfdehNz05v9lCuyH9yOnOlS9ry3cTZrPxpOd8u+pIiZuZ4eTSjT9cBOX5tIu+xsLDAf3kAs+fOZOLkTzAxMcHLsymfjJug9Ux+mlpNamoq6v+Erkb1GvguWoLv4kWMGD0Ma2tr+vbtz6ABgzXHFDUviqWFJQGrVnDv/j2MjIypXKky3307g7Zt3lf0WkXus7CwYIVfALPmzGTCpOd5+3S8dt7UaU/zhnbeFvsswcd3ESNGpeetX5/+DBo4WOsczZs1Z8Z3M1kRsIKfN26gjG0ZJn46iW5duyl2nUIHcvu2XqnU/32XFkIH107cePVBQuhJZY8KkjmhmMoeFUiKT8ntZggDUcSiEMkJkjehDLOihXK7CZm6vP+aouer1qqyoufLjn///Zfo6GiqVKny0uVHdGEgd8IKIYQQQggh8jSVwj95yB9//EGLFi1477336NWrF5cuXQIgJiaGli1bsnfvXp3rlI6eEEIIIYQQQuSSU6dOMXLkSIoVK8aIESO0bosvUaIEFSpUYPfu3TrXKx09IYQQQgghRK5TqVSK/uQVS5YswcXFhU2bNtGzZ88M+2vXrs3ly5d1rlc6ekIIIYQQQgiRSy5evEj79u01S4W8qEyZMkRHR+tcr8y6KYQQQgghhMh1eWmUTUlqtRpTU9NM99+/fz/L/ZnJsqO3fft2nSsE6Nix42uVE0IIIYQQQghD4uTkRFBQ0Etv24T0iVpcXV11rjfLjt6kSZNeq2ctHT0hhBBCCCGETgz0obKuXbvy3XffsWnTJpo3bw6kj24mJSUxb948/vrrL2bNmqVzvVmuo/e6Hb0ZM2boXEYIIYQQQghhuK7+EaLo+d56x1nR82Xlk08+YefOnVhYWJCQkICNjQ0PHjwgNTWVzp07M336dJ3rlAXTxWuTxV2FksyKyoLCQjlmRQuRGPcot5shDIS5ZWF5fxOKycsLphtyRw/gwIED/PLLL4SGhqJWq3FwcKBjx468++67r1WfTMYihBBCCCGEyHWGOBlLcnIye/fuxdHRkZYtW9KyZUu91W2gd8IKIYQQQgghRO4qVKgQU6ZM4cqVK3qv+5UjeocOHeLhw4e0a9dOs7bDtm3b2LZtW4Zj69evz+jRo/XeSCGEEEIIIUQBZ4AjekZGRpQtW5b4+Hj9153VzrCwMEaMGMHZs2e1FvCLiIjg9OnTGX78/Py4fv263hsphBBCCCGEEAVRx44d+eWXX0hJ0e+zulmO6P3yyy+oVCqGDh2aYZ9KpWLfvn2a1w8fPuTDDz9kx44dfPzxx3ptpBB5yc2Im8yeM4vTgacwNTWlqVdTPhk3gWLFir2y7KlTJ1nku5DgkGCKFy9O505dGNh/EMbGxppjDh0+xO49u7h0+SIRERG0b9eeb7/+LicvSeRhkjehtIiIm8yeO4vAM6cxNTXFy7Mp48d++srMnfvrLFu3beHy5Utc//c6devUY6X/qpceq1ar2bZ9Cz9v+pl//72OmZkZri5v8d23MyhRokROXJbIo3L6PQ5gz749rFjpT3j4DcrYlqF3L2+6fdA9py5JvAEDHNADoG7duhw4cIAOHTrQo0cPHBwcKFKkSIbjGjRooFO9WXb0Tp8+TfXq1SlbtuxL91eoUEHrtZubG6dOndKpAUK/AgMDCQgI4NKlS0RFRTF//nzatm2r2d+7d29Onz6doVylSpXYtWuXkk3NlxISEhg0eADW1tbMnjmXpKREFvosZPTYUawJWJvlQ8SXr1xmxOjhtGjego9HjyU4JJhFPgtIeZTCqJHPb3n+49DvBIcEU79eA+Li4pS4LJFHSd6E0hISEhg0dCDW1tbMmjGHpKQkFvkuYMy40axauSbLzJ0OPM35C+epXq06KY+z/lZ63vw5bN2+hf59B1C7Vh3iE+I5ey7oleVEwaLEe9yhw38wafIEen7Ui0kTJnP2bBAzZk3H2NiYLp27KnGZQrxSv379NP/7u+++y5B9tVqNSqXi6tWrOtWbZUcvNDSUNm3aZLsyBwcHrVE+obzExERcXFzo0qULI0eOzLDf19eXx48fa16npKTQrl07WrdurWQz863NWzcTFR3FmtXrsC1tC4CtbRn69OvNkaNH8PL0yrTscr9lVHSoyPRpMzEyMsLdzZ2kxET8Viyndy9vrK2tAZj6xVeaW6Xfbx+U49ck8i7Jm1Dalm2biY6OYk3AWko/zVzp0rb0G+DN0WNH8GySeeYGDRjMkEHpdwANGT6I1CepLz3u7LkgfvjpexYt8NWqr6nXO3q8EpEfKPEe57vEhyaNmzDh04kAuDVw4+7dOyxZtpiOHTplGP0TuUtlZJhDejm1BnmWz+jFxcVhaWmZYXuLFi1eumiftbW1fCOcy7y8vBg7dmymU7NaW1tTqlQpzU9QUBDJycl06dJF4ZbmT0eOHqZe3XqaP0gAtWvVxs7OnsNHDmVa7vHjx5w8dYJ3W72n9bxrm9ZtSUlJ4cTJ45pt/90vDJvkTSjt6NEj1K1TT9PJg2eZs+PIkcNZls1uljZv2UT5cuWz7DQKw5DT73GRkZEEBwfT+j3tQYs2bdoSExPDpUsX9XtBQrymTp06ZetHV1m+K5uZmb10BhhXV9eXniw+Ph4zMzOdGyFyz6ZNm2jSpEmmt+cKbaGhITg7Vcqw3dnJidDQ0EzLhYeHk5KSgrOz9sKcdnZ2mJkVISRU2QVCRf4geRNKCw0LyZAbACdHZ0LD9JOb8xf+onLlKgSsWkGLd9+hgXtdenp/xKnTJ/VSv8g/cvo97llmnZ21z+HklF4uJCzzc4hcolIp+1PAZdnRK1u2rE73gl69epUyZcq8caOEMsLCwjh9+jQffPBBbjcl34iNjX3pKLelpRUPYx9mXi4uVnPci6ysLIl9mHlZYbgkb0JpsbGxWFpkzJyVlRUPY2P1co7o6GhOnT7J9h3bmPDJJBYu8MHCwoJRH4/g33+v6+UcIn/I6fe42Nhnx2mfw+ppOXkvFAVdlh29OnXqcO7cOUJCXv0tXkhICOfOnaNevXp6a5zIWRs3bqRUqVI0bdo0t5sihBDCQKSlpZGQkMDc2fNp1fJdGr3dmIXzfbC0tGT12tW53TwhRC6SAT39yrKj1717d9LS0hg/fjz37t3L9Lh79+4xfvx41Go13bp103sjhf6lpKSwfft2unTpgolJlnPyiP+wsrJ66XOocXGxFLPKfCroZ98exsVl/EY8NjYOq2xMIy0Mj+RNKM3Kyoq4+IyZi42NpZhVxtGT11GsWDGsi1nj4uKq2VbErAg1qtckJOSaXs4h8oecfo+zsnp2nPY5no0IynuhKOiy7OhVq1aNbt268ffff9O2bVsWLVrEyZMnCQsLIywsjFOnTrFw4ULef/99/vnnH7p160a1atWUart4AwcPHuT+/ft07SpTC+vCydGJkJc8pxISGoqTo2Om5cqXL4+pqWmGZw4iIyNJTk7CydFJ720V+Z/kTSjNseLLn40KDQvBUU+5cXbK+AzgM4/0vFiwyNty+j3uWWZDX3gu+dlreS/Mg2RIT69eOUXWF198QadOnbh//z7Lly+nX79+tGnThjZt2tC3b1/8/Py4d+8eHTt25IsvvlCizSILCQkJXL16VfNsZUREBFevXuXff//VOm7jxo14eHhQvnz53GhmvuXZxIugoDPcjbqr2XbhwnkiIyPw9GyaaTlTU1Maunuwb/9e0tLSNNv37NuNqakpHg3fzslmi3xK8iaU5tnEk6CzL2Tu4nkiIyP1Nkuml9c7PHj4gKt/X9FsS0pK5MLF81SrKl8WG5Kcfo+zt7PH2bkSe/bu0Sq/Z+8ebGxsqF6tun4vSIg8RqVWq9XZOfDMmTP8/PPPnDt3jujoaABKlixJ3bp1+eCDD3ReqV3kjFOnTuHt7Z1hu5ubG+vXrwfSZ6tq2bIl8+fP12mdxBclJxjeN6/x8fF07dYZGxsbhg4ZTnJyEgt9FlCyREnWrl6vWeByuf8y/Ff4sXPHbuzs7AC4eOkifft706rlu3Tq2JngkGss8lnIRx/2YMzosZpzREZGcvnKJQBmzp5BxYqOfNjtQwDq1auPTXEbha86bzArWsjgMid5yz1mRQuRGPcot5uhuPj4eD74sEt65gYPIzk5mUW+CyhRoiRrAtZpMue3YjkrVvrxy/Zd2JVNz9y9+/cICjoDwIqVfqSmpTF08DAAqlWrrjkuKTmJD3t0IzX1CSOGjaJo0aKs/34dl69c4sf1G6hYMfORnILK3LKwwb2/gTLvcb/9/hvjPhlDr569aer1DkFnz+Dnv5zJkz6nW1fDfNzIrGih3G5CpoJPhSt6vkruBXvAI9sdPSFeZIh/lCC9ozxrzkzOBAViYmKCl2dTPh0/QbM4K8Cy5UtZ7r+M3Tv3Ym9nr9l+4uRxfHwXERwSjLW1NV06dWXQwMFaC7bu+GU7X3718tHxlf6raFDfML9UMcSOHkjecouhdvQAwm+GM2fuLE3mPJt48ck47cwt91uK34rl7PplD3ZPM3fmTCCDhg54aZ1fT/2W9u06aF7fuXOb+Qvncfz4nzx58oSaNWvy8ehxVH2rao5eW15lqB09yPn3OIDde3axImAF4eE3KGNbhl49e/Nh94+UusQ8Rzp6z0lHT0f37t3DxsYwvwE2NIb6R0nkDkPt6IncYcgdPaE8Q+7oCeVJR++5gt7Re+UzetkVFxfH/PnzadGihb6qFEIIIYQQQhgImYtFv7I1r35ERASXL1/GxMSEmjVrUrJkSc2+R48esWbNGlatWsXDhw8pUqRIjjVWCCGEEEIIIcSrvbKjN23aNH788Uee3eFpamrKxIkT6dmzJ6dOnWLSpEncvn0bU1NTvL29GTJkSI43WgghhBBCCFHAGMIwm4Ky7Oht27aN77//HiMjI5yd09e9CQ0N5bvvvsPc3Jwvv/yStLQ0unfvzrBhw7C1tVWk0UIIIYQQQgghMpdlR2/r1q2Ympqybt066tSpA0BgYCD9+vXj888/p0yZMixbtgwXFxdFGiuEEEIIIYQomFRGMqKnT1lOxvK///2Pli1bajp5AA0aNKBFixao1Wq+++476eQJIYQQQgghRB6T5YheXFwcFSpUyLDdwcEBQKsDKAxPXp6eVxRMkjmhJHPLwrndBGFA5P1NCEAG9PQqy45eWloaJiYZDzE1NQXAzMwsZ1ol8gVZ80coSdbRE0qSvAklSd6EkuRLBcPxylk3VTL7jRBCCCGEECKHSb9Dv1TqZ+smvISrq6vO/+AqlYorV668ccNE3iffPgolyTfeQkmSN6EkyZtQUl4e0Qs7F6no+Rzr2Cl6PqW9ckQvi36gXo4XQgghhBBCCBnR068sO3p///23Uu0QQgghhBBCCKEnrxzRE0IIIYQQQogcl+XCb0JX8s8phI5uRtxk9JhRNGzkRpOmjfhi6uc8fPgwW2VPnTpJj14f4uZRn3fbtMRvxXJSU1MzHLdn3x46f9CJBg3r0a5DWzZu+lnflyHyEcmcUJLkTShJ8iZEzpGOXgETGBjI0KFDady4MS4uLuzatSvDMRs2bKBt27bUqlWLxo0bM3nyZO7du5cLrc1/EhISGDR4AFFRd5k9cy5TPvuCM0FBjB476pXPp16+cpkRo4dToUIFfBctwbt3XwJWrWTpsiVaxx06/AeTJk+goVtDlvguo22b95kxazpbtm7OyUsTeZRkTihJ8iaUJHkTL1KpVIr+FHRy62YBk5iYiIuLC126dGHkyJEZ9h84cIBvv/2Wr776Cg8PD27fvs1XX33FpEmT8Pf3z4UW5y+bt24mKjqKNavXYVvaFgBb2zL06debI0eP4OXplWnZ5X7LqOhQkenTZmJkZIS7mztJiYn4rVhO717eWFtbA+C7xIcmjZsw4dOJALg1cOPu3TssWbaYjh06YWxsnOPXKfIOyZxQkuRNKEnyJvKLFStWsH//fkJDQzE2NqZq1ap8/PHH1KlTJ7ebliUZ0StgvLy8GDt2LC1btnzp/rNnz+Li4sIHH3xAuXLlqF+/Pt27d+fChQsKtzR/OnL0MPXq1tP8QQKoXas2dnb2HD5yKNNyjx8/5uSpE7zb6j2MjJ7/2rVp3ZaUlBROnDwOQGRkJMHBwbR+r41W+TZt2hITE8OlSxf1e0Eiz5PMCSVJ3oSSJG8ivzh9+jTdunXjhx9+4KeffqJs2bL079+ff//9N7ebliXp6BmYevXqERISwqlTp1Cr1URFRbFv3z6aNm2a203LF0JDQ3B2qpRhu7OTE6GhoZmWCw8PJyUlBWdnZ63tdnZ2mJkVISQ0JL3+sPT/Ojtrn8PJKb1cSFjm5xAFk2ROKEnyJpQkeRMZqFTK/mTTihUr+OCDD3B1dcXZ2ZnvvvuOQoUKceTIkRz8x3hzcuumgWnRogVTpkxh8ODBPHnyhCdPnvDOO+/wzTff5HbT8oXY2FgsLS0zbLe0tCIiMvNFPmPjYjXHvcjKypLYpw+ex8Y+O077HFZPy8Vm8wF1UXBI5oSSJG9CSZI3kdtiY2M1OfkvKysrrKwy5uuZR48ekZKSkuUxeYF09AzMmTNnWLBgARMmTKBevXrcuXOHOXPmMGXKFGbPnp3bzRNCCCGEEAZK6flR1q5dy+LFizNsHzlyJKNGjcq03OzZs7GysqJ58+Y52bw3Jh09A7NgwQLee+89evbsCYCrqytFixalZ8+ejB49mnLlyuVyC/M2Kysr4uLiMmyPi4ulmFWxzMs9/fYwLi7jt0axsXFYFSumqT/9OO1zPPv28tlxwnBI5oSSJG9CSZI3kdv69OlDp06dMmzPaqRu6dKl7Ny5k9WrV2NhYZGTzXtj8oyegUlKStJ6cBnQvH7VVMYCnBydCHl6z/9/hYSG4uTomGm58uXLY2pqmuGZg8jISJKTk3BydALA8el/Q0O1z/Hs9bPjhOGQzAklSd6EkiRv4kUqI5WiP1ZWVpQrVy7DT2YdPR8fH1avXs2qVauoXr26wv86upOOXgGTkJDA1atXuXr1KgARERFcvXpVMytQ8+bN2bx5M9u2bSM8PJwzZ84wbdo0qlatKqN52eDZxIugoDPcjbqr2XbhwnkiIyPw9GyaaTlTU1Maunuwb/9e0tLSNNv37NuNqakpHg3fBsDezh5n50rs2btHq/yevXuwsbGherW8/6Yi9EsyJ5QkeRNKkryJ/GTOnDl8//33rF69mho1auR2c7JFOnoFzKVLl+jYsSMdO3YEYN68eXTs2JEpU6YAMHToUIYOHcry5ctp27YtY8aMwcnJiWXLlhnEwpFvqkvnrpQsUZIxY0dz5OgR9h/Yx6TPJ1KrZi2t9X6W+y+jboPaRP7nYfIhg4cSGhbK5198xunA0/y44Qf8V/jRq2dvihcvrjluxLCRHDl6mDnzZhN4JpDl/svYum0Lw4aOwMRE7rY2NJI5oSTJm1CS5E1kkEdn3fz222/58ccfmTt3Lra2tkRFRREVFfXSW4/zEpVa7tcTryk5ISW3m5ArwsPDmTVnJmeCAjExMcHLsymfjp+gWZwVYNnypSz3X8bunXuxt7PXbD9x8jg+vosIDgnG2tqaLp26Mmjg4AwLtu7es4sVASsID79BGdsy9OrZmw+7f6TUJeZJZkULSeYkc4qRvEnelCR5k7wpyaxoodxuQqbC/45S9HzlXUtl6zgXF5eXbu/UqRMzZ87UZ5P0Sjp64rUZ6h8lkTsM+YOQUJ7kTShJ8iaUlJc7ejf/UbajV84lex29/Epu3RRCCCGEEEKIAkZuThZCCCGEEELkPpkvQq9kRE8IIYQQQgghChgZ0RNCCCGEEELkOpWRjOjpk4zoCSGEEEIIIUQBIyN6QgghhBBCiFwnj+jpl3T0xGvLy9PzioJJMieUJHkTSpK8CSH0TTp64rXF3U/K7SYIA2JZvIhkTijGsngREuMe5XYzhIEwtyxMzO243G6GMBAlyljmdhOEQqSjJ4QQQgghhMh9cu+mXslkLEIIIYQQQghRwMiInhBCCCGEECLXqWRET69kRE8IIYQQQgghChgZ0RNCCCGEEELkPhmC0ivp6Amho4jICObOn82ZoNOYmpri2diLsR9/QrFixbIs57diGSsC/DJs79XDmzGjx2le//XXObb9soXLly/z743r1KldF/9lAXq/DpE/SN6E0iIibjJ77iwCz6RnzsuzKePHfppl5lJTU/n+h3UcPXaU0LAQHqc8xtHRkT7e/WjerIXOxwnDcffuHdb/uIYrVy8THHKNx48fc/zwmWyVjbwVwUKfuQSdO4OJiSlNGnkyesRYrKy0s6pWq/ll53a2bt/Evzf+xczMDJfKLkyd8i02NiVy4rKEyBOko1fABAYGEhAQwKVLl4iKimL+/Pm0bdtWs//x48cEBASwdetWbt26Rfny5Rk+fDjvv/9+LrY6/0hISGDo8IFYWxdnxrRZJCUl4btkEeM+/ZiVfqtfeW+5sbExK/1Wa20rVbKU1uvAoNNcuHCealWr8/hxit6vQeQfkjehtISEBAYNHYi1tTWzZswhKSmJRb4LGDNuNKtWrsk0c48ePSJg9Uravd8e7959KGRaiP0H9/HJhHFMnvQ53bp21+k4YThuRoTzx+HfeculKlVdC3H+4l/ZKpeQmMDIMUOxLmbNN1NnkJyUxFI/XyZ8No5lviu1suqzZD6/7NxO7559qVm9FgmJCfx1/hwpjx/n0FWJ1yXP6OmXdPQKmMTERFxcXOjSpQsjR47MsN/X15ctW7bw7bffUrlyZY4ePcrEiROxtLTEy8srF1qcv2zbvoXomGgC/NdQurQtAKVL2zJgcF+O/XmUJo09X1lHjeo1s9w/oN8gBg0YAsDwkUN4kvrkzRsu8iXJm1Dalm2biY6OYk3AWq3M9RvgzdFjR/Bs8vK/E4ULF2bnjj1YWVlptjVs6MGdO7dZt36NpgOX3eOE4ahdqy47t+0DYPW6ldnu6O34dRsxMdH4LQ6gVKnSAJQuXZohIwZw/MQxGr3dBIC/zp/j500/MWfGAs02gCaN5DOPKPjkTtgCxsvLi7Fjx9KyZcuX7t+2bRsDBgygWbNmlC9fnh49etCsWTP8/f0Vbmn+dPTPI9SpXVfzAQigVs3a2JW148ixw3o5h5GR/FqKdJI3obSjR49Qt049rczVrlUbOzs7jhzJPHPGxsZanbdn3nKtyt27d3U+ThiO130POn78KLVr1tF08gBqVK9F2TJ2HDt+RLNt+y9bsLcvp9XJE3mYSuGfAk7+whuYlJQUChcurLWtcOHCnD9/nsdyC8MrhYWF4uzknGG7o6MTYWGhryyfmprKu22a496oHh27tmPNulWkpqbmRFNFASB5E0oLDQvB2Tlj5pwcnQkNC9G5vrPngnB0dNLbcUI8E/ZvGI6OGbNasaIj16+HaV5fvHSBSk6VWbt+Fe93epcmzdzpP9ibM0GnlWyuELlCbt00MI0bN2bdunU0bNgQR0dHTpw4wYEDB3j8+DH379+ndOnSr67EgMXGxWJhYZlhu5WlFbduRWZZtny5CoweOQaXKq6kpqZy6MgfLFnmS0RkBJ9P+iKnmizyMcmbUFpsbCyWL8uclRWRr8jci3bt3sm5v87x3bcz9HKcEP8VFxeLhYVFhu2Wllbcvn1L8zrmXjSBQQ+5FvI/xo76hKJFi/Ljz98zfuLHrF+9gQrlHZRstngFlSEMsylIOnoG5vPPP2fKlCm8//77qFQqypcvT+fOnfnxxx/lFq4c1qZ1W63Xb3s0oohZEX7c8D39+wygbFm7XGqZKIgkbyI3Xbx0gWnTv6H1e20yZPF1jhPidaWlpZGYmMBSH3+qVHYB0p8L7PJhe77/cS2fTfwyl1soRM6RT/YGxsbGhqVLl/LXX3/xxx9/sHfvXszNzbGwsMDGxia3m5fnWVlaER8fl2F7bFxshumcs6Nli1ao1Wr+/udvfTRPFDCSN6E0Kysr4l6WudhYir3k2bqXCQkNYfTHI6lZsxZfT/32jY8T4mUsLa2Ij4/PsD0uLhYry+dZtbIqRrFixTSdPAAzMzOqVa3+Wrcjixwmz+jplXT0DFThwoWxtbXlyZMn7N+/n2bNmsmIXjZUrOhI6EuejQoLC8WxouNr1yuzCYuXkbwJpTlWdCI0NGPmQsNCsvUMXWRkBMNGDMHO3p4Fcxdhamr6RscJkZmKDhUJu54xq9evh+Hg8Pz90bFi5rlNSZElZUTBJp/sC5iEhASuXr3K1atXAYiIiODq1av8+++/AFy4cIF9+/YRHh7OmTNnGDhwIAkJCYwbNy6rasVTTRp7cvZcEFFRz2eHu3jpApG3ImnSWPepmvcd2IuRkRGurlX12UxRQEjehNI8m3gSdPYMd/+TuQsXzxMZGZnp0grPxMTEMHTEECyKFmWxz1LMzc3f6DghstLIowl/nT9LVHSUZtulyxe5dTuSxi8so/Dw4UP++d/zOxmSkpK4dPkib8l7YZ4jA3r6pVKr1ercboTQn1OnTuHt7Z1hu5ubG+vXr+fMmTNMnTqVGzduYGZmhoeHB5988gkVKlTQ+Vxx95P00eR8JT4hng97foBN8eIMHjiU5ORkfJcsokSJEgT4r9Us9LkiwI+Vq/zZvvlXzbNQPb0/5P227XCoUJHU1FQOH/mDHb9up2uXbkz8ZLLmHPfv3yPoXBAAKwP8SUtLZfCgYQBUe6uawT5bZVm8iMFlTvKWeyyLFyEx7lFuN0Nx8fHxfPBhF2xsbBg6eBjJycks8l1AiRIlWROwTpM5vxXLWbHSj1+278KurB3Jycn07e/Nv/9e55uvp2Fra6tVr6vLWxQqVCjbxxkac8vCxNzOeMusofj90EEADh3+nYO/72fa1zMBKFvGjrdcq3LuryBGjxvOZxO+oPV77wOQkBBPr34fUtzahgH9BvMoOZmlfr7Y2JTAb0mAJqvJycn0GdCD1NRUBg8cRlHzovz08/dc/ecKq/zX41ChYq5cc24qUSbjhEt5xd2bDxU9X+lyuj8GkZ9IR0+8NkP70P3MzZvhzF0wm6CzZzAxMaFJYy/GjfkE62LWmmP8VixjRYAfv2zdhZ2dPQCTP5/AlauXiY6JAdQ4VHCgfbtOdOvaXeu22TNBgQwdMeil55465Wvavd8hJy8vzzLEjh5I3nKLoXb0AMJvhjNn7izOBAViYmKCZxMvPhk3AWtra80xy/2W4rdiObt+2YOdnT2RkRG0bd860zp1Pc7QGHpH722vdr77dQAAS41JREFU+i/d3ua995ky+SvOnjvDyDFD+XzSVNq2bqfZfzPiJgt953LuryBMjE1o9HYTPh45jmL/eX8EuHv3Dr5LF3Ly9HGePHlC9Wo1GTF0NK4ub+XkZeVZ0tF7Tjp6QmTCED90i9xjqB09kTsMuaMnlGfoHT2hrDzd0YuIVfR8pe2zN8lUfiXP6AkhhBBCCCFEASPr6AkhhBBCCCFyncwKrV8yoieEEEIIIYQQBYx09IQQQgghhBCigJGOnhBCCCGEEEIUMPKMnhBCCCGEECLXyTN6+iXLKwghhBBCCCFyXfQtZZdXKFm2YC+vICN64rXJGlNCSeaWhSVzQjHmloVJik/J7WYIA1HEohAJscm53QxhIIpameV2E7IgQ3r6JM/oCSGEEEIIIUQBIyN6QgghhBBCiFwnz+jpl4zoCSGEEEIIIUQBIx09IYQQQgghhChg5NZNIXQUEXGT2XNnEXjmNKampnh5NmX82E8pVqxYluXO/XWWrdu2cPnyJa7/e526deqx0n/VS49Vq9Vs276Fnzf9zL//XsfMzAxXl7f47tsZlChRIicuS+RRkjehtGeZOx14SpO5T8ZNeGXmAE6dPski34WEhART3Lo4nTt1YUD/QRgbG2uOefLkCf4r/fj11x1Ex0RTvlx5vL370rF9p5y8LJFHRUTcZM682c/f45o0ZdzYT7LMW2pqKt//uJ5jx44SGhbC45THVHR0pE/vvjRv1iLTcpGREXTt3pnk5GT27NyPra1tTlySEHmGdPQMVLNmzfjwww8ZPHjwS1+Ll0tISGDQ0IFYW1sza8YckpKSWOS7gDHjRrNq5RpUWdxcfjrwNOcvnKd6teqkPM56Nr958+ewdfsW+vcdQO1adYhPiOfsuaBXlhMFi+RNKC0hIYGBQwZQ3NqaWTPmkpSUyCLfhXw8dhSrA9ZmmbnLVy4zcvRwmjdrwZhRYwkOCWaR7wIepaQwasRozXHfTf+WPXt3M3TocFyquHDo8B989fWXqFDRoX1HBa5S5BUJCQkMHjYIa2trZk6fTVJSEj6LFzJ2/GgCVmT+Hvfo0SNWrV7J+23b07uXN4UKFeLAgf18OnE8kyd+zgddu7203Kw5M7EoakFyssxwmldl9R4jdCcdPSF0sGXbZqKjo1gTsJbSpdO/CSxd2pZ+A7w5euwInk28Mi07aMBghgwaCsCQ4YNIfZL60uPOngvih5++Z9ECX636mnq9o8crEfmB5E0obcvWp5lbtQ7bp5mztS1D3/69OXr0CJ6emWfOz38ZFR0qMn3aTIyMjHBzcycxKRH/Fcvp3dMba2trIm9Fsv2XbXw8eix9vfsB4NHwbW7fvo3P4oW0bfM+Jiby0cRQbH36Hrd65RrNe5xtaVv6DeyT5Xtc4cKF+XX7bqysnq+B1tDdg9t3brNu/ZqXdvT+OPQ7Fy9dpH+/AcxfMDdnLkiIPEae0RNCB0ePHqFunXqaP0gAtWvVxs7OjiNHDmdZ1sgoe79um7dsony58ll+iBeGQfImlHbk6GHq1q2n6eTBs8zZc/jooUzLPX78mJOnTtCq1Xta2WvTui0pKSmcOHkcgMuXL6FWq/Fo+LZWeY+GHsTExHDx4gW9Xo/I244ey/geV+vZe9zRzN/jjI2NtTp5z7z1VlXuRt3NsD0pKZE582YzasRorCwL9gLZ+Z5K4Z8CTjp6BdSff/5J7969cXNzo169evTq1YsLF+QP6JsKDQvB2dk5w3YnR2dCw0L0co7zF/6icuUqBKxaQYt336GBe116en/EqdMn9VK/yD8kb0JpoWEhODtVyrDdydGJ0NDQTMuF3wwnJSUFZyftvNqVtcPMrAihoel5NTZKf1bP1NRU6zhT00IAhIQGv1H7Rf4SGhaKk1Nm73GZ5y0zZ88F4VjRKcN2/5V+lLCxoWMHeQ5UGBbp6BVQiYmJfPTRR2zYsIENGzbg6OjIwIEDuX//fm43LV+LjY3F0sIyw3YrKysexsbq5RzR0dGcOn2S7Tu2MeGTSSxc4IOFhQWjPh7Bv/9e18s5RP4geRNKi42NxdIys8w9zLIcgOVLRkusrCw1ZSs4OABkGLm7dOkiAA8f6ifXIn/ILG+WlpbEPsw8by+za/dO/vrrHN69+2htDw0N4acNPzJpwmfy/JcwONLRK6BatmxJmzZtcHJyonLlynzzzTcYGRlx9OjR3G6aeIW0tDQSEhKYO3s+rVq+S6O3G7Nwvg+WlpasXrs6t5snChjJm1BSJedKuDVwZ/FSXwLPBBIb+5Adv2xnz97dABgZyQdxobuLly7w3Yxvaf1uG9q0bqu1b/rM72jb+n2qVaueS60TupA7N/VLnnguoMLDw/Hx8eGvv/4iJiYGtVpNUlISkZGRud20fM3Kyoq4+LgM22NjYyn2kucFXkexYsVIfZKKi4urZlsRsyLUqF6TkJBrejmHyB8kb0JpVlZWxMVllrnMp7t/9rxUXFzGEbnY2Ditst98NY2Jn33KoCH9AbCxsWHEiFHMmz+HkiVLvekliHwks7zFxcVhlY3lPCB9xO7jMaOoWaMWX039Rmvfvv17+ed/f/PlF19psvlsxs2EhHiSkiwpUsT8Da9CiLxLOnoF1NChQ7GxsWHq1KmUKVMGU1NTevXqxePHj3O7afmaY8WXP6cSGhZCQ3cPvZzD2cmZ//3vfy/d9yhFprs3JJI3oTRHRyfN83T/FRoWSkP3hpmWK1+uPKampoSGhdLsneaa7ZG3IklOTsLR8flzU2XKlGHtqvXcvn2b+IR4HCo48PsfvwHpE3EIw+FY0YmwlzxvHBoWgrvbq9/jIiMjGDZyCHZ29syfuzDDs59h18NISEigY+d2Gcp27d4ZtwbuLF/q//oXIPRPbq/VK7l1swC6f/8+wcHBDB06lMaNG1OpUiXMzMyIjo7O7able55NPAk6e0ZrVq8LF88TGRmpt1kLvbze4cHDB1z9+4pmW1JSIhcunqda1Wp6OYfIHyRvQmmejb0yyVwEXp5NMy1nampKQ3cP9u/fS1pammb73r27MTU1zTDLJqR3+Co5V0KlUrFx88+4uzekQvkKer0ekbc1aexJ0NkgorTyduHpe5xnlmVjYmIYNnIoRYta4OuzBHPzjCNz7d9vj//ylVo/z5b1mDVjDuPGjNfvBQmRx0hHrwAqVqwYNjY2/Pzzz4SFhXHu3DnGjh2LmZlZbjct3+vcqSslSpRk7PiPOXrsCAcO7uezKZOoWbOW1gdvvxXLqe9eh8hbz2+VvXf/HgcO7ufAwf3cv3eP+w/ua17/97hOHTtToYIDn04cz569uzly9DCjx4wiOTmZPr37Knm5IpdJ3oTSunTuSskSJRkzbjRHjh5h/4F9TP58YsbM+S+jnlttrSwNHjSU0LBQpnz5GYGBp/lpww/4r/CjV4/eFC9eXHPcho0/8cuvOwg8E8iu3b8yYHA/wsJC+XzyF4peq8h9nTt1efoeN0bzHvf5lEnUrKGdN/8Vy2nQsK4mb8nJyYwcPYyou3cZNmQ44eHhXLh4QfOT8vRuBDs7e+rXa6D1U7GiIwA1a9SiShUX5S9aZEme0dMvuXWzADIyMmLRokVMmzaN9u3bY2dnx8cff4yPj09uNy3fs7CwwH/5SubMncXEyZ9iYmKCZxMvPhk3QWs2L3VaGqmpqaBWa7aFhoQwYdInWvU9e/311G9p364DkP58lP+yFcxfOI/pM6bx5MkTatasyUr/1Zo/UMIwSN6E0tIzF8DsuTOZOPkTTExM8PJsmiFzaWo1qampqP+TuRrVa+C7aAm+ixcxYvQwrK2t6du3P4MGDNY6x5MnT1gR4M+dO7cpal6Uhg09mD5tJvZ29opdp8gbLCws8Fu2gjnzZjHpswma97jxYz99ad6evcfduxfDP//7B4CJkz/NUO/OHbuxkzwJgUr933dpIXSQGPcot5sgDIi5ZWHJnFCMuWVhkuLlGUWhjCIWhUiITc7tZggDUdQq797h9SA6QdHzWZcsquj5lCa3bgohhBBCCCFEASO3bgohhBBCCCFynSxqr18yoieEEEIIIYQQBYx09IQQQgghhBCigJGOnhBCCCGEEEIUMPKMnhBCCCGEECLXySN6+iUjekIIIYQQQghRwMg6ekIIIYQQQohcF3svSdHzWdkUUfR8SpNbN8Vrk8WEhZKKWBSSzAnFSN6EkiRvQklFLArldhOEQuTWTSGEEEIIIYQoYGRETwghhBBCCJHrZDIW/ZIRPSGEEEIIIYQoYGRETwghhBBCCJH7ZERPr6SjJ4SOIiJuMnvuLE4HnsLU1BQvz6Z8Mm4CxYoVe2XZU6dPssh3ISEhwRS3Lk7nTl0Y0H8QxsbGmmOSkhJZEbCCAwf2cTfqLiVLlqT5Oy0YMngYRYsWzclLE3mUZE4oKafzBk8zt9Kfvfv3EhV1l+LFi/O2RyO++vKbnLoskUfldN6+mPo5v+78JUPZSRMm82H3Hnq9FiHymjzf0WvWrBkffvghgwcPfulrfbl58ybNmzfn559/pnbt2pkeN2nSJKKioggICNDr+UX+kJCQwMAhAyhubc2sGXNJSkpkke9CPh47itUBa1FlcXP55SuXGTl6OM2btWDMqLEEhwSzyHcBj1JSGDVitOa4r7/9iiNHDzN82EhcKrtwLfgaS5b5EhEZwbw5C5S4TJGHSOaEkpTIW0pKCkOGDSLmXgyDBgymQoUKREVFceHiBSUuUeQhSuQNwNbWljmz5mlts7ezz5FrEm9GBvT0K8939JRStmxZjh07hrW1NQB//fUX3bt357fffqNcuXK50qb33nuPtm3bMmrUqGyXWbZsGYcPH+bq1aukpaVx8eLFDMeEh4czZ84czpw5Q1JSEm5ubkyZMoXy5cvrs/kF0patm4mOjmLNqnXYlrYFwNa2DH379+bo0SN4enplWtbPfxkVHSoyfdpMjIyMcHNzJzEpEf8Vy+nd0xtra2tSUlI4ePAA/fsPpFeP3gA0aOBGXFwsfiuWk5SUSJEi5opcq8gbJHNCSTmdN4A1a1cRGhrKls3bNecAeO/d1jl6bSLvUSJvAIVMC1GzRq2cvhwh8hyZjOUpY2NjSpUqhampaW435Y08fvyY9957j48++uil+5OSkujfvz8pKSmsWrWKn3/+GWNjY/r27UtSkrKLVOZHR44epm7delofTmrXqo2dnT2Hjx7KtNzjx485eeoErVq9h5HR81+7Nq3bkpKSwomTxwFITU0lNS0Vi6IWWuUtLCxRq9V6vRaRP0jmhJJyOm8Am7duomWLVlrnEIZJibyJfEalUvangMv1jt6ff/5J7969cXNzo169evTq1YsLF9789o0NGzbQrFkzzet//vkHFxcXvvnm+f3/fn5+dOzYEUi/ddPFxYW//vqLmzdv0r17dwCaN2+Oi4sLvXv31qr/p59+4p133qFevXqMGDGCe/fuafap1Wr8/Pxo1qwZ1atX591332XLli1a5V1cXNi1a5fWtt69e/Pll19q/ndYWBiLFy/GxcUFFxcXbt68+crrHj16NH379qVKlSov3X/27Flu3LjB9OnTcXV1pUqVKsyaNYuIiIgM7REZhYaF4OxUKcN2J0cnQkNDMy0XfjOclJQUnJ2ctbbblbXDzKwIoaEhABQpUoS2bd7nx5++59xf50hMTOSv83/x/Y/r6dSxs4ysGCDJnFBSTuct8lYkd+/exc7Oji+/moJHYzcaNnLj47GjiIh49d84UbDkdN6euX3nNp7vNKK+Wx26dOvElq2b9XMBQuRxud7RS0xM5KOPPmLDhg1s2LABR0dHBg4cyP3799+oXnd3dyIiIggPDwfg1KlT2NjYcPLkSc0xp06domHDhhnKli1bFn9/fwA2bdrEsWPH8PX11ew/f/48QUFB+Pv74+/vz5UrV5g/f75m//r161m2bBkjR45k586ddOvWjSlTpnD48OFst9/X1xcHBwf69+/PsWPHOHbsGGXLltX53+FFjx49QqVSUbhwYc22woULY2RkRFBQ0BvXX9DFxsZiaWmZYbuVlRUPYx9mWQ7A0tLqJWUttcp+9eU3vP12I/oN8ObtJu707d+b2rVq8/nkL/RwBSK/kcwJJeV03qKjowBYs241UVFRzJu9gK++/JprwdcYNnIojx8/1sdliHxCifc3V5e3GD/uU+bNWcjcOfNxdnLm2+++JmDVSj1cgdA3lcI/BV2uP6PXsmVLrdfffPMNBw4c4OjRo7Rv3/6163V0dMTW1paTJ09Svnx5Tp06Rd++ffH19SUqKopixYpx9uzZDCN1kH4b57PZnmxsbChVqpTW/sKFCzN9+nQKFSoEQLdu3di0aZNm/8qVK+nTpw+dO3cGYMCAAVy+fBk/Pz+8vDK/3/y/rK2tMTIywtzcPMP530Tt2rUpWrQos2fPZuLEiahUKubOnUtqaip3797V23nE61u81Ifff/+NyRM/p1KlSly79j+WLl/C9JnT+OLzqbndPFEASeaEUtLS0m8HLmJWhAXzFmFmZgZA+fIV6Nn7Q/bt38v7bdvlZhNFAdOzRy+t10293iE1NZWVq/zp1bO31hffQhQ0uT6iFx4ezqeffkrLli2pW7cudevW5cGDB0RGRr5x3e7u7pw8eZK0tDQCAwN55513qF69OidPnuTChQukpKTQoEEDnet1dnbWdPIASpcuTUxMDADx8fHcuXOH+vXra5Vp0KABISHatxLkBhsbGxYtWsSff/5J3bp1qV+/PrGxsVSrVi3L2a1EOisrK+Li4jJsj42NpZhV5lNBW1mlf+sYFxf7krJxmrLBIcGsWbuaSRM/o3u3D6lXtz4fdu/Bp+MnsmXrZoKDr+npSkR+IZkTSsrpvBV7elzt2nU0nTyAalWrYVHUguAQyZshyem8ZaZVy3dJSkoiLCzz20NFLpEhPb3K9Y7e0KFDuX37NlOnTmXjxo1s376dUqVK6eX2jYYNG3Lq1CmuXLmCiYkJVapUoWHDhpw8eZKTJ09SrVo1LCwsXl3RC16csEWlUpGWlqZTHSqVKsNEB0rdstK4cWMOHjzI8ePHOXHiBHPmzOHOnTtUqFBBkfPnZ46OThnu/QcIDQvF0dEx03Lly5XH1NSU0Bf+qETeiiQ5OQlHRycAQkKCAXjL9S2t4956qyoAN27ceKP2i/xHMieUlNN5K1eufOYjKCoVjx6lvH7jRb6T03l7JfmCWxRwudrRu3//PsHBwQwdOpTGjRtTqVIlzMzMiI6O1kv97u7uREVF8eOPP+Lu7g6g6ehl9nzeM886c7p24CwsLP7f3p3H1ZT/fwB/lVIie2ViNMncos3tRqUshbFUY80Ykn1PlkEZZBgzhCmSfWmM7CpE1rKUpX1iUpg20USLVKT18/vD755v122lbov38/Ho8XA/53M+n8+5532O87nn8zkHKioqCA8PF0kPCwtD9+7/m3DcoUMHkaGS79+/R2JiolgbSkpKalR/TbRv3x6tW7fGvXv3kJGRITaMlojrbzYAEZHheJX+v3334GE0UlNfYED/gRWuJysrC2MjE1y9elkkpi5f9oesrCxMjPsCAFT//70+j2Ifiawf+/+fVTvTe3++NBRzRJLqOt5kZWVh2tcMUX9H4v3791y+h/88RF5eLnS0tWt/o0iDVdfxVpHLVy5BQUEB6t9U3Jkk9UNKSkqif01dvXb02rRpg/bt2+PkyZNITExEVFQUlixZIjKc43N06dIFXbp0wblz57hOnYGBAdLT0xEZGcl1/srz1VdfQVpaGrdu3UJmZma5QwsqMmvWLBw+fBi+vr5ISkrCoUOHcOnSJZGXvJuYmODYsWP4+++/8fjxYzg5OaG4uFis/ZGRkUhNTUVWVla1Op2pqamIjY1FamoqGGOIjY1FbGwssrOzuTy+vr6IiorCs2fPcO7cOSxevBiWlpYwMTGp9jZ+qcaOGYeOHTpi8VIH3A66javXrmDlKkfo6emjf7//zb/cu283BH16IfW//w1Bnj1rLhISE7Da+WeEhYXi+Imj2Ld/L2wnTka7du0AAD179ISerh5cNm/EiZPHEBYWiqPHvLDlDxcIBIbQ5GlKfJtJ/aKYI5JU1/EGAPPmzMfbvLdYtMQet4Nu46L/Baxw/AkaGt0xZPBQiW4vqV91HW+p/6VixuxpOH3mFO6H3ENgYAB+Wr4EN24GYs6seTQ/jzR59fowFmlpaWzfvh0bNmzA999/D1VVVSxatAju7u61VoeRkRG8vb25jl7z5s3B5/MREREBgUBQ4Xrt27fH8uXLsW/fPvz+++8wNDTEkSNHqlWnra0t3r17B3d3d6Snp6Nz587YsGGDyINYHB0dsWbNGkybNg1t2rTBvHnzuHl+QgsXLsTq1asxbNgwFBQUVOvl7e7u7vD19eU+C18fsXHjRu7hMElJSfjjjz+QnZ0NFRUV2NnZYc6cOdXati9dq1atsG/PQWzeugmOK5dBRkYGA/oPxLKlK0R+GSplDCUlJSLDc3V1dLFj+07s8NiOBQ7z0LZtW0ydOh2zZvzvB4BmzZphm9sO7Nm7C0eO/oWMjAwoKynDcoQ15s6e90X8+kREUcwRSarreAOAb7/lYfeufdju7obljkshJyeHfmb98dOSZSLz30nTV9fx1lKhJRRbKeLgof3Iep0Faelm+Lb7t/jt142wHGEl0W0lpD5IMXojLvlE+Xk0l4JITotWzSnmiMRQvBFJongjktSiVcP9QeVdboFE61NQbNp3dev9YSyEEEIIIYQQQmpXvb9H71OdP38ea9dW/H6nqKgoCbZGMpydneHn51fuMoFAgAMH6OWfhBBCCCGkcaLZArWr0Q7dzMvLE5vTVpaampoEWyMZmZmZyMvLK3eZvLw8VFRUJNoeGmZCJImGNhFJongjkkTxRiSpIQ/dzM+T7NDNFq2a9tDNRntHr1WrVp/0DrzGrEOHDujQoUN9N4MQQgghhJA60HBv6QUEBGDbtm1ITEyEqqoqZs+ejXHjxtV3sypFc/QIIYQQQgghpALR0dFYuHAhvvvuO5w7dw52dnZwdnbG9evX67tplWq0d/QIIYQQQgghTUdDnaP3559/QiAQYOHChQAADQ0NREdH48CBAxg8eHA9t65idEePEEIIIYQQ8sXJycnB8+fPxf5ycnJE8kVFRcHMzEwkrV+/fvjnn39QVFQkySbXCN3RI5+sIU/mJU0TxRyRJIo3IkkUb4QA8i0lexzs37EXHh4eYun29vbc3TsAyMjIEHtOhpKSEoqKivD69WsoKyvXeVs/BXX0CCGEEEIIIV+cKVOmYPTo0WLprVu3rofW1D7q6BFCCCGEEEK+OK1bt65Wp65jx45ir3XLyMiAjIwM2rVrV1fN+2w0R48QQgghhBBCKsDn83Hnzh2RtKCgIOjq6kJWVraeWlU16ugRQgghhBBCSAWmTp2K8PBweHh4ICEhAUePHsWFCxcwc+bM+m5apaQYY6y+G0EIIYQQQgghDdX169exbds2JCUloVOnTpgzZw5sbGzqu1mVoo4eIYQQQgghhDQxNHSTEEIIIYQQQpoY6ugRQgghhBBCSBNDHT1CCCGEEEIIaWKoo0dILXNycsKMGTPquxmfTFdXFz4+PvXdDNLIWFhYYN++ffXdjC8WnXckZ8eOHRg2bFh9N6PeUcxJDsUc+VTU0SOkAunp6dDU1ERISEh9N4UQibl48SI0NTXruxlfLDrvEEmjmCOk6aKOHiGEEEK+eEVFRfXdBPKFoZgjdY06eqRJmDx5MtasWQNXV1cYGxvD0NAQbm5uKC0thYeHB/r27QtjY2O4ublx6/j5+cHGxgYCgQBGRkaYPXs2EhMTueVmZmYAADs7O2hqasLCwoJbFhwcjAkTJkBfXx+GhoaYMmUKXr58KdKm48ePw9zcHAKBAAsWLEBWVla1t+fAgQMwMzODvr4+7O3tcfToUbG7LLdv34aNjQ309PQwcOBArF+/Hnl5edzywsJCuLi4wMzMDDo6Ohg5ciRu3LghUkZMTAxsbGygq6uLESNGICgoqNptJJWbPHkynJ2dufgzMjLCzz//jPz8fADV2z+V0dTUxNGjR+Hg4IBevXrB3Nwcly9fRm5uLn766Sfw+XxYWFjgypUrIuu5ublh+PDh0NfXx4ABA+Ds7Izc3FwAQEhICJYuXcqVr6mpCScnJwAAYwx//fUXhg8fDh0dHZiamnLLhAoLC/Hrr7+id+/e6Nu3LzZv3ozS0tJP/g4bOjrv1M95R1NTE0eOHMGCBQugr6+P/v37w8vLSyRPXl4e1q1bBzMzM/D5fNjY2ODu3bvc8pCQEGhqauLWrVv44YcfoKOjAz8/P5SUlMDFxQVGRkYwMDDAzz//DHd3d5H98LGYmBjMnDkTJiYm4PP5GDt2LG7fvl2jbaouijmKOeH2SCrmSCPHCGkCbG1tmYGBAdu6dStLSEhg3t7ejMfjsRkzZjAXFxcWHx/Pzp49yzQ1NdmNGzcYY4ydOXOGBQQEsOTkZBYTE8PmzZvHhgwZwgoKChhjjMXFxTEej8euXLnCXr16xTIzMxljjAUFBTEtLS22adMmFhcXx548ecKOHTvGXrx4wRhjzNHRkQkEAvbTTz+xJ0+esPDwcDZw4EC2atWqam2Lv78/09bWZl5eXiwhIYF5eXmxPn36MB6Px+W5c+cO09fXZ8eOHWNJSUksIiKCjRkzhi1atIjL8/vvvzNjY2N29epVFh8fz1xcXFiPHj1YXFwcY4yxd+/esb59+7I5c+awuLg4FhISwkaOHMm0tLSYt7f35+6SL56trS0TCARs06ZNLD4+nt26dYsJBAK2a9cuxljV+6cqPB6PmZqaMl9fX5aUlMTWrVvHdHV12YwZM9iZM2dYUlIS27BhA9PX1+dilzHGdu7cycLCwlhKSgq7e/cuGz58OFuxYgVjjLGCggJ2/PhxxuPx2KtXr9irV69YTk4OY4wxV1dXxufz2fHjx1liYiJ78OAB27dvH1euubk5MzQ0ZPv372eJiYnswoULrEePHuzcuXO19ZU2OHTeqZ/zDo/HY3369OHa6unpybS0tNjNmzcZY4yVlpaySZMmsSlTprDIyEiWnJzMDh06xLS1tbl23L9/n/F4PDZ8+HB248YN9uzZM/by5Uu2f/9+ZmBgwPz8/FhCQgJzd3dnBgYGzNzcnKvf3d2dDR06lPt8//595u3tzZ48ecISEhLY9u3bmba2NktISKjW9tQExRzFnLAsScUcadyoo0eaBFtbWzZ69GiRNGtra2ZlZSWSNnr0aPbbb7+VW0Zubi7T1NRk4eHhjDHGXr16xXg8Hrt//75IvgkTJrAFCxZU2BZHR0fWt29f7j9RxhjbtWuXyEm7Mj/88ANzcnISK7Psf36TJk1ibm5uInmio6MZj8djmZmZ7O3bt0xbW5udOnVKrOxly5Yxxhg7efIk4/P53IU8Y4zdvXuX8Xg86ujVAltbWzZq1CiRtFWrVjFbW9tq7Z+q8Hg8tmnTJu5zdnY24/F4bP369Vxabm4u4/F47Nq1axWWExAQwLS1tVlJSQljjLELFy6IxBpjjOXl5TFdXV12+PDhCssxNzcXOy6mTp0qFstNCZ136ue8w+PxxNrq4ODApkyZwhhj7N69e0xPT4/l5uaK5Jk1axb75ZdfGGP/u+j28/MTyWNqasp27NghkmZra1vpRXd5Ro8ezf2oU5so5ijmKlJXMUcaN5n6vqNISG3R0tIS+aykpIS2bduKpHXs2BGZmZkAgNjYWHh4eCA2NhavX78G8GF4WmpqKgQCQYX1PHr0CI6OjpW2RUNDA82bN+c+Kysrc/VWJT4+HqNHjxZJ69WrF3x9fbnP//zzD6Kjo3H48GEujTEGAEhOTkaLFi1QVFQkth2GhobcUJJ///0X3377LRQVFbnlBgYGkJKSqlY7SdU+jkllZWVERkbi2bNnVe6f6ig7xKlNmzaQlZUVSWvVqhVatGghEntXr17F4cOHkZycjLdv36K0tBRFRUVIT0+HiopKufXEx8ejoKAApqamNd7ejIyMam9PY0Tnnfo57/Tq1Uvks4GBAfbv38+1s6CgAP369RPJU1hYCGNjY5E0PT097t+5ublIT08XK7tXr1548eJFhW3JysqCu7s77t+/j4yMDJSUlKCgoADa2to12qbqopijmJN0zJHGizp6pMmQkREPZ1lZWZHPUlJSKC0tRX5+PqZPn47evXtj48aN6NixI6SkpGBpaVkrk6Mrqre2lJaWYu7cubCyshJbpqKigqSkpFqri3y6uo6D8sr/+DgoW2d0dDQWLVqEuXPnwtHREYqKinj48CGWL19eK3Ff9oLv47qbKjrvfNCQzjulpaVo27YtTp48KbZMXl5e5HOLFi0+uz4nJyekpaVh+fLl6NKlC+Tl5bFs2bI6e9AGxdwHFHOSiznSeNHDWMgXKT4+HllZWVi6dCmMjIygoaGB3Nxckf+ghP+BffyfVs+ePWt016WmNDQ0EB0dLZL28WdtbW0kJCRATU1N7E9eXh5qamqQlZVFRESEyHrh4eHo3r07AKB79+54+vSpyKT2qKgo7tdSUneqs3/qQkREBDp27IhFixZBT08P6urqSEtLE8kjjPuSkhIuTfir/Z07d+qsbV8COu/U3nnn77//FvkcFRUFDQ0NAICOjg5ev36NkpISsXZWdNcaABQVFaGkpCS23R/X9bGwsDDY2tpi0KBB0NTUhJKSEp49e1aj7akrFHMUc+TLRh098kVSVVVF8+bNceTIEaSkpODevXtYt24dpKX/d0i0bdsWioqKCA4ORnp6Ot68eQMAmDdvHgICAuDi4oLHjx8jPj4ep06dQmpqaq20bcqUKTh//jyOHz+OpKQkHDt2TOwJYg4ODrh8+TK2bNmCuLg4JCUlITAwEGvWrAHw4RdDW1tbuLq64vr160hISMDmzZvx4MED7gW3VlZWkJeXx4oVK/DkyROEhYVh8+bNIt8BqRvV2T91QV1dHRkZGfDx8UFKSgrOnj0r9uS4Ll26AAACAwORlZWFt2/fomXLlpg2bRq2bduGEydOIDk5GY8ePcLBgwfrrK1NEZ13au+8ExgYiGPHjiEpKQmHDx/G1atXMXXqVACAiYkJjIyMsGDBAgQGBiIlJQUPHjzAgQMHcPXq1UrLnTp1Kjw9PeHv74+kpCTs3LkTsbGxla6jrq6O8+fP48mTJ4iNjcXSpUtRXFxco+2pKxRzFHPky0ZDN8kXqX379tiyZQtcXV1x6tQpdOvWDStXrsSsWbNE8jk7O2P79u34888/oaKigsDAQPTv3x+7d++Gh4cHvLy8IC8vDx0dHQwcOLBW2jZ8+HC8ePECO3fuxKZNm2BmZoaZM2fC3d2dy2NiYoJDhw7Bw8MDR48ehZSUFLp06YIhQ4ZweZYuXQopKSmsXbsWb968gYaGBnbu3MnN4VJQUMDevXvxyy+/YMyYMejSpQtWrlwJe3v7WtkOUrmq9k9dMDc3x5w5c7B161a8e/cOAoEATk5OWLJkCZenZ8+emDZtGtauXYusrCyMGjUKmzZtwpIlS9CmTRscOnQIGzZsQNu2bcXmo5DK0Xmn9s479vb2uH37NlxcXKCoqAhHR0eYm5sD+DB8cO/evXB3d8evv/6K9PR0tG3bFnp6emLzpT42bdo0ZGZm4pdffkFxcTGGDRuG8ePHV/rqk40bN2Lt2rUYN24cOnTogOnTpzeYIXQUcxRz5MsmxWicFiEN3rp16xAeHg4/P7/6bgoh5AvRUM87mpqacHV1haWlpUTqmz17NqSlpbFnzx6J1Pclo5j7gGKO1Ba6o0dIA1NUVARPT08MGDAAcnJyCAoKwunTp7FixYr6bhohpImi884HL1++xPXr17m7MP7+/rh16xZ27txZzy1reijmPqCYI3WJOnqESBifz69w2bp16zBixAiEhITg4MGDyM/PR9euXeHk5IRJkyZJsJWkPu3Zswd79+4td5mqqiouXrwo4RaRxq6xnHfqO/abNWuGS5cuYdu2bSgqKoK6ujrc3NwwePDgOq23KaKYqx6KOVKXaOgmIRKWnJxc4bIOHTqgVatWEmwNaYiys7O5ByJ8TEZGBp07d5Zwi0hj11jOOxT7TQfFHCH1jzp6hBBCCCGEENLE0HPUCSGEEEIIIaSJoY4eITWQl5eHfv36IS4uTmJ1/vfffzAyMsLLly8lVidpGCjeiKTVR8y9e/cOZmZmePTokcTqJE2Hs7MzJk+ezH12cnL67PeR1sdxANCxQGofdfQIqYH9+/fDwMAAWlpatVJeTk4OZs2ahf79+0NHRwdmZmZYvnw50tLSuDxfffUVrK2tsX379lqpkzQeFG9E0mo75gAgNzcXK1euRO/evcHn82Fvb49Xr15xyxUUFDBjxgy4uLjUWp3ky7Vq1Sq4urp+Vhl1cRwAdCwQyaOOHiHVVFBQgBMnTmD8+PG1VqaUlBQGDhwIDw8PXL16Fdu3b0dKSgrmz58vkm/cuHHw8/NDVlZWrdVNGjaKNyJpdRFzALB8+XJERkZi9+7d+Ouvv5CRkYG5c+eitLSUyzNy5EhERETg8ePHtVo3aRwKCwtrrSxFRUW0adPmk9evq+MAoGOBSB519AippqCgIBQWFnLvugGAmJgY2NjYQFdXFyNGjEBQUBB0dXXh4+PD5UlPT4ejoyNMTEy4fP7+/gA+/Ic0adIk6OnpQVVVFQKBALNmzUJMTAzevXvHlaGlpQVlZWVcuXJFchtM6hXFG5G0uoi5+Ph43LhxA7/++isMDQ2hq6uLzZs3IyYmBvfu3ePKaN++PQwMDBrci7Ibu8mTJ2PNmjVwdXWFsbExDA0N4ebmhtLSUnh4eKBv374wNjaGm5ubyHp+fn6wsbGBQCCAkZERZs+ejcTERJE8O3fuhIWFBXR0dGBqagoHBwdu2ePHjzF16lQIBALw+XxYW1vj1q1bAIDnz59DU1MTfn5+mD59OvT19bnXG9y+fRs2NjbQ09PDwIEDsX79euTl5XHlvn//HqtXr4aBgQGMjIzg4uKCj58p+PHQzbCwMPzwww/g8/kQCAQYM2YMHj58WOF3Vt5xANCxQBoneo8eIdUUGhoKHR0dNGvWDACQn5+P2bNnQ1dXF2fOnMGbN2/w+++/o7i4mFsnPz8ftra2UFRUhJubGzp37oyEhIQKf718/fo1zp8/D11dXSgoKIgs09PTQ1hYGH788ce620jSYFC8EUmri5iLioqCnJwcDA0NuXW6du0KNTU1REZGwtTUlEsXxhypXf7+/pg4cSKOHz+OqKgorFy5EjExMeDxePDy8sLDhw/h6OgIPp+PgQMHAvhwh23evHno3r078vLy4OHhgTlz5uDChQto3rw5rly5goMHD8LV1RU8Hg9ZWVkIDw/n6ly2bBk0NTVx6tQpyMrK4unTp2jRooVIu7Zu3Yrly5dj3bp1kJaWxt27d+Hg4ABHR0f07dsXmZmZ+O2337B69Wps27YNALBlyxbcuHEDf/zxB7p27QpPT0/4+/tDW1u73G0vLi7G/PnzMW7cOGzevBmlpaWIjY2FrKxshd/Xx8cBQMcCabyoo0dINT1//hzKysrcZz8/P+Tn52PLli1QVFQEADg6OmLq1KlcngsXLiAtLQ1eXl5QUlICAHz99ddiZTs7O+P8+fPIz88Hn8/Hvn37xPIoKyvj77//rt2NIg0WxRuRtLqIuYyMDLRv3x7S0qIDiDp27Ij09HSRNGVlZbx48aK2N+uLp6amhp9++gkAoK6ujj///BMvX77EgQMHAADdunXD4cOHcffuXa6jN3bsWJEyNm/eDENDQzx8+BACgQCpqalQUlKCqakpZGVloaqqCh0dHS7/ixcvMH36dGhoaAD40KH52MSJE2FlZcV9FsaW8MclNTU1rF27FjY2NnB2doacnBxOnjyJdevWwdzcHMCHF6+XvRv2sby8POTk5MDc3Bxqamrcd1CZj48DgI4F0njR0E1CqqmgoABycnLc53///Rfffvstd9IHAAMDA0hJSXGfhb+aCk/6FVm0aBF8fX1x8OBBSElJYdmyZSgpKRHJIy8vj/fv39fS1pCGjuKNSFpdxlx1UMzVjY8fKKKkpAQejyeS1rFjR2RmZnKfY2NjsWDBAlhYWIDP56Nfv35gjCE1NRUAMGzYMBQWFmLQoEFYuXIlLl68iIKCAm79adOmYfXq1bCzs8POnTvx77//irVLT09P5PM///yDgwcPgs/nc392dnYAPrx8PSUlBUVFReDz+dw6zZo1g76+foXb3rZtW4wZMwYzZszA7NmzcfDgQTx//rzS7+vj4wCgY4E0XtTRI6Sa2rVrhzdv3tRJ2R06dIC6ujrMzMzg4eGBO3fu4M6dOyJ5srOz0b59+zqpnzQ8FG9E0uoi5jp27IjXr1+LPGwCADIzM8UuiCnm6oaMjPjgrY+HLkpJSXH7KD8/H9OnT0ezZs2wceNGnDlzBt7e3pCWlkZRURGAD0/nvXz5MtavX4/WrVtj69at+P7775GbmwsAWLhwIfz9/TFkyBA8fPgQI0eOxNGjR0Xq/HgoZ2lpKebOnYuzZ89yf+fOncPVq1fRo0ePT97+jRs34vTp0+jduzdu3ryJ4cOH4/r16xXmr6tzLx0LpD5QR4+QatLW1hb5VbJ79+54+vSpyETxqKgokYnh2traePr0KTIyMqpdj3D9j+dVPX36FD179vzU5pNGhuKNSFpdxByfz8f79+8RERHBpaWkpCApKQkGBgYieSnmGob4+HhkZWVh6dKlMDIygoaGBnJzc8U6KHJychg4cCBWrlyJs2fPIjk5Gffv3+eWq6mpYfLkydizZw8mTpyIkydPVlqvtrY2EhISoKamJvYnLy+Pr7/+GrKysoiKiuLWKSkpQXR0dJXbpKWlhVmzZuHIkSPo168fvL29K23Hx3cg6VggjRV19Aippv79+yM5OZl7kbSVlRXk5eWxYsUKPHnyBGFhYdi8ebPI+HtLS0soKytj7ty5uH//PlJSUhAcHMz9mhgUFITTp08jLi4OL168wL179+Dg4ABlZWWRJ369e/cOMTEx6N+/v2Q3mtQbijciaXURcxoaGjA3N4ezszPCw8Px8OFDLF++HNra2jAxMeHKYYwhIiKCYq4BUFVVRfPmzXHkyBGkpKTg3r173ANThE6fPo3Tp0/j8ePHeP78OXx8fCAlJYVvvvkGb9++xa+//oqQkBA8f/4cDx48QHh4ODdfryIODg64fPkytmzZgri4OCQlJSEwMBBr1qwBALRs2RLjx4+Hm5sbbt26hfj4eKxbtw6vX7+usMzk5GT88ccfiIyMRGpqKkJDQxEbG1tpWz4+DgA6FkjjRR09QqpJQ0MDhoaGOH/+PIAPLzbdu3cvXr58iTFjxmDNmjVYtGiRyDAZBQUFHDlyBGpqanBwcIClpSU2btzIDX+Rk5ODj48P7OzsMGzYMKxevRrdu3fHiRMn0KpVK66cq1evolOnTujTp49kN5rUG4o3Iml1EXPAhycl6uvrY+7cubCzs0OHDh2we/dukYvkiIgI5ObmYvjw4ZLbYFKu9u3bY8uWLQgKCsKIESOwadMmrFixQmS/t2nTBmfOnMGkSZNgZWWF8+fPw83NDd9++y1kZGSQnZ2NlStXYtiwYZg3bx60tLSwdu3aSus1MTHBoUOH8ODBA0yYMAGjR4+Gm5ubyLDG5cuXo3///li8eDF+/PFHtGjRApaWlhWW2aJFCyQkJGDRokX47rvvsHz5cgwePBgLFy6scJ2PjwOAjgXSiDFCSLXdv3+fDRgwgBUUFFSYR0dHh3l7e9danaWlpez7779nfn5+tVYmaRwo3oik1UfMMcbYnDlz2J49e2q1TEI+VXWOA8boWCANH93RI6QGjIyMMGfOnCqf2lWbXr16BWtra5HHUJMvA8UbkbT6iLl3795BV1dX5FH1hNSn+jgOADoWSO2j9+gRUkOSfoG0iooKZs6cKdE6ScNB8UYkTdIxp6CggAULFki0TkKqIunjAKBjgdQ+KcbKPDKIEEIIIYQQQkijR0M3CSGEEEIIIaSJoY4eIYQQQgghhDQx1NEjhBBCCCGEkCaGOnqEEFKJkJAQaGpqYseOHSLpkydPhqamZrXyNjQWFhawsLCo72aQBsjJyQmampoSf9pgU1HfxxbtP0JIWdTRI4TUiKamJjQ1NaGlpYVnz55VmE/YEdLU1ISPj4/IMuHFSNm/Hj16wMjICHZ2diIvqiU1V14ntKHT1NTE5MmT67sZTd6OHTugqamJkJCQ+m5Ko9QYjy1CyJeLXq9ACKkxGRkZFBcX48yZM1i6dKnY8qSkJISGhnL5KjJo0CD06NEDAFBUVISUlBQEBgYiJCQE8fHxWLJkSZ1tw+dycXFBfn5+fTfjk/z555/13QRCCCGE1DHq6BFCaqxDhw5QUlKCj48PHBwcICMjeio5ffo0AMDc3BzXrl2rsJzBgwdjzJgxImn//PMPxo4dC09PT8yfPx9ycnK1vwG1QFVVtb6b8Mm6du1a300ghBBCSB2joZuEkE8yfvx4pKen4+bNmyLpRUVF8PX1BZ/Ph4aGRo3L1dHRQdu2bVFQUIC3b99We738/Hzs27cPY8aMAZ/PB5/Px/Dhw7FhwwZkZGRw+RITE7F161aMGTMGxsbG0NHRgbm5OdasWYO0tLRq11fVEK6oqChMnToVAoEAfD4fM2bMwMOHD8XylR1K5+fnBxsbG/D5fJF5Pj4+Pli4cCEGDRoEPT09GBgYYMKECTh37pxIWc+fP4empiZCQ0MBQGRobNlhkRXNIyosLMS+fftgbW0NfX19GBgYYOLEifD39xfLK6zLyckJz58/x5IlS2BkZARdXV2MGTMGN27cqPpL/P9tE36PoaGhIm3esWMH4uPjqxzWaW1tDW1tbbx69QqA6FzJ6u4HACguLsbRo0cxfvx4GBgYQF9fH6NGjYKXlxdKS0urtT1CSUlJWLFiBfr16wcdHR2YmZlhxYoVSEpKEstbnRiojbosLCzg4eEBALCzsxP5rstz4sQJWFtbQ1dXF3379sWaNWuQm5tbbt60tDSsX78egwYNgo6ODoyMjDB37lw8ePCgVrdXeNwVFRXBw8MDgwcPhq6uLoYOHYpTp05x+Y4fPw5ra2vo6emhf//+cHd3r3AfRkdHw8HBAaamptDR0cGAAQPg7OyMly9fcnmqe2wJvXv3Di4uLhg4cCB0dHQwZMgQ7Nu3DxW9utjf3x+TJk2CQCCAnp4erK2tsXfvXhQWFpab/+7du5g4cSJ69eqFPn36YP78+YiPj6/wewsICMCUKVNgZmbGxYitrS2OHj1a4TqEkMaP7ugRQj6JpaUlNm3ahNOnT2Pw4MFcemBgIDIzM7Fs2TIkJyfXuNyYmBhkZ2ejc+fOaN++fbXWefPmDezs7BAXFwd1dXWMHTsWsrKySElJgbe3N4YMGYKOHTsCAK5du4YTJ07AyMgIBgYGkJWVxdOnT3H69GncuHED3t7eUFFRqXG7y4qOjsbevXvRt29fTJo0CcnJybh27RrCwsJw6NAhGBoaiq3j6emJO3fuwNzcHEZGRiIX1L/88gu6d++O3r17Q0lJCdnZ2bh16xZWrFiBxMRELF68GADQunVr2Nvbw9fXFy9evIC9vT1XRufOnSttc2FhIWbMmIHQ0FB069YNEydOxPv373HlyhUsWbIEcXFx5Q7TffHiBWxsbPD1119j5MiRePPmDfz9/TF//nx4enrC2Ni40np79OgBe3t7eHh4oHPnzhg9ejS3rE+fPtDQ0ICRkRFCQkKQmJgIdXV1kfUjIyPx5MkTDB06FMrKyiLLarIfioqKMHfuXAQHB0NdXR1WVlaQk5NDSEgIfv31V0RHR2PLli2VbovQgwcPMG3aNLx9+xYWFhbo3r07EhIScP78eQQEBMDT0xN6enpi61UWA7VRl52dHQICAhAaGorRo0dXGhNbtmxBcHAwzM3NYWpqipCQEJw6dQrJycn466+/RPLGxMRg+vTpePPmDczMzPDdd9/h9evXuH79OiZOnIidO3diwIABtbK9QkuXLkV0dDQGDBgAGRkZXLlyBWvWrIGMjAweP36Ms2fPYuDAgTA2NkZgYCB27twJeXl5zJ49W6ScM2fOwNnZGc2bN4eFhQU6deqE5ORknD59GoGBgTh16hRUVVVrdGwVFRVhxowZePXqFfr3749mzZrh+vXr+OOPP1BYWCiyLgC4urpi7969aNeuHaysrKCgoICgoCC4uroiODgYBw8eRPPmzbn8ly9fxpIlSyArK4sRI0ZASUkJERERmDBhQrmd9pMnT8LZ2RlKSkowNzdHu3btkJmZicePH8PHxweTJk2q9vdOCGlkGCGE1ACPx2P9+vVjjDH2888/sx49erD//vuPWz59+nRmYGDA3r17x1xdXRmPx2Pe3t4iZTg6OjIej8fmzZvH3N3dmbu7O/vjjz/Y0qVLWa9evVj//v1ZWFhYtdu0dOlSxuPxmLOzMyspKRFZlpeXx3JycrjPaWlprKCgQKyMoKAgpqWlxZydnUXS79+/z3g8HnN3dxdJt7W1ZTwer9y8PB6PHTlyRGTZtWvXGI/HY0OGDBFpo7u7O+PxeExfX5/FxMSUu33JycliaQUFBczOzo717NmTpaWlVdm2sszNzZm5ublI2p49exiPx2MzZ85kRUVFXHpGRgYzNzdnPB6PRUREcOkpKSnctu7YsUOkrNu3b3NlVRePx2O2trblLrt06RLj8Xhs06ZNYsuEsRQcHMylfc5+WL9+PSsuLubSi4uL2cqVKxmPx2PXrl2rcjtKS0vZsGHDGI/HY+fOnRNZdvHiRcbj8djQoUNrHAO1Xdf9+/fLLVP4fQ4YMIC9ePGCSy8qKmITJ05kPB6PRUdHi6QPHjyY6ejosJCQEJGy0tLSmJmZGTM1NRU55j51exn7X2yPGTOGvXnzhkt/9uwZ09bWZoaGhszc3FzkmHjz5g3r06cPMzIyEonthIQEpq2tzQYPHix2DN29e5dpaWmx+fPnl1t/RYTHysyZM1l+fj6XnpGRwQQCARMIBKywsJBLj4yM5L7vV69ecelFRUVszpw5jMfjsd27d3PpeXl5rE+fPqxnz57swYMHInX/9ttvXNynpKRw6aNHj2ba2tosIyNDrL2ZmZkVbgshpPGjoZuEkE82fvx4lJSU4MyZMwA+3N25e/curK2t0aJFiyrXDwgIgIeHBzw8PLB3715cuHABpaWlsLKyAo/Hq1YbMjMz4e/vDyUlJTg6OkJaWvS01rJlSygqKnKfVVRURH4dFzIzM0P37t0RHBxcrXoro6amhokTJ4qkDR48GH369EFycjLCw8PF1hk/fjx69uxZbnnlzalr3rw5Jk2ahOLiYty7d++z2+zt7Q0pKSk4OTmJzLns0KED5s2bB+B/cy/L6ty5M7dcqF+/flBVVS132N6nGDx4MDcntOxQtpycHFy6dAldu3ZF3759xdar7n4oLS2Fl5cXlJSUsHLlSjRr1ozL36xZMzg5OUFKSgp+fn5VtjUyMhIJCQng8/n4/vvvRZaNGDECAoEAiYmJiIiIEFu3shio7bqqsmDBApF5qDIyMtx82rL79ebNm3j27BlsbW3Rp08fkTJUVFQwc+ZMpKenlxujNd3espYtW4bWrVtzn7/++msYGBggJycH8+fPF7kr37p1a1hYWOD169ciwzGPHz+OoqIirFq1SuwuvomJCSwsLHDjxg3k5eXVuH2rV6+GvLw897lDhw4YNGgQcnNzkZiYyKV7e3sDAObNmwclJSUuXUZGhjuflT3uAgICkJ2dDSsrK+jq6orUuXDhQpFzXVkyMjJic6kBVHvUBCGkcaKhm4SQT6avrw8ejwcfHx/Mnz8fp0+fRmlpKcaPH1+t9Tdu3MhdPJaUlCAtLQ2+vr7w8PBAQEAAvL290bJly0rLePjwIUpLS9G7d28oKChUWSdjDOfPn4evry/i4uKQk5ODkpISbrmsrGy12l4ZgUAg1uEEPgxFDA0NxaNHj8QuissbyieUmpqK/fv34969e/jvv//w/v17keVlL14/RV5eHpKTk6GiolLuvErh8MvY2FixZVpaWiIdI6FOnTrh77///qx2CcnIyGD8+PHYuXMnrly5AmtrawDAuXPn8P79e4wfPx5SUlJi61V3PyQmJiI7OxvffPMNdu/eXW4b5OXlkZCQUGVbHz16BAAwMjIqd7mxsTEiIiLw6NEj9O7dW2RZZTFQ23VVRUdHRyztq6++AvBhqLSQcB+npqaW+/5I4TzB+Ph4seGbNd3eqtonHLpb2bK0tDRuqKWw7aGhoeXO28zMzERJSQmSkpLKLbMiioqKUFNTE0vv1KkTgA8/UAgJ92F5Q5zV1dXRqVMnPH/+HLm5uVBUVOTyl7c/FRUV0aNHD24eoZC1tTU2bdoES0tLjBgxAn369IGBgQF18gj5AlBHjxDyWcaPH48NGzbg9u3b8PHxgba29if9St+sWTN07twZ9vb2SEpKgp+fH7y8vDBnzpxK1xNeNFV3Xt3GjRtx+PBhKCkpwczMDCoqKtwv78L5N59LOB+wovTy7hBUtE5KSgrGjRuHnJwcGBoawszMDK1atUKzZs3w4sUL+Pr6VvjAhuoStqfsHYWyhBfJZS9QhcreVSlLRkamxg8wqcwPP/yAPXv24OTJk1xH79SpU5CVlcXYsWPLXae6+yE7OxvAh06J8GEl5anOw4GE88w+ni8oJPyOy5uPVlF766KuqpR3Z0jYoS+7X4Xf3eXLlyst7927d2JpNd3eqtonvGPVqlWrCpeVfd2LsO0HDx6stK7y2l6Zyo4JACI/LAn3TUXHnpKSElJTU5GTkwNFRUUuf1WxXda0adPQrl07HDt2DEeOHMHhw4chJSWF3r17Y8WKFWJ3BgkhTQd19Aghn2XkyJHYunUr1q5di5cvX2LBggWfXaa+vj78/PyqNfRPeFFVnbtamZmZOHLkCHg8Ho4fPy52QXjhwoVPa/BHyj7ls7z08i5Ey7sjBXx4YEV2drbI3U+hCxcuwNfX9zNb+7/2VNRu4dMsKxoWJgkqKiqwsLDAtWvXEB8fjzdv3uDJkycYMWJEhXcmqrsfhNs1ZMiQSjt61SEsKz09vdzlwvSaxEBd1FVbhG3YtWsXBg0aVKN1a7q9tU34vURERNTpd1QZ4feXkZFR7hBt4T4U5iubvzwVpY8aNQqjRo1CTk4OoqKicO3aNXh7e2PmzJm4dOkS3d0jpImiOXqEkM/SunVrDB06FGlpaVBQUIClpeVnlykcGladO0J6enqQlpZGWFhYlb+8p6SkoLS0FKampmIXdmlpaXj+/PmnN7qMyMjIctsuHFJVkzuewieXfvfddxWW9zHhcMWydw4q06pVK3Tt2hUvX74s9/H/ISEhAGrW7pqSlpausr3C+XYnT57kHqX/ww8/VJi/uvuhW7duaN26Nf7++28UFRV9UvuFevToIVLHx4Tfpba29mfV86l1CWOjtu626uvrA0C5804bul69egGoWdtremxVRbgPhfuqrOTkZKSlpaFLly7cD1rCmA0LCxPLn5ubW+7w6rJat26NAQMGYMOGDRg9ejSys7PLLYsQ0jRQR48Q8tkWL16MnTt34sCBA5/9y/ibN2/g4+MDoOK5R2W1b98eI0aMQHp6OlxcXMQuYN++fcsNdxLOzYmIiBC5UHv79i1Wr14tMqzrcyQlJeHYsWMiadevX0doaCjU1NTKfb1CRYRt/vhiPigoiHsIzsfatm0L4MO8qeoaO3YsGGPYvHmzyHeTlZWFXbt2cXnqStu2bat8j6GJiQm++eYbnD17FpcuXYK6unqlr2+o7n6QkZGBra0t0tPTsWHDBrE5kMCHu5r//vtvldshEAigrq6OiIgIseGMly9fRnh4OL755hsIBIIqy6qLuj4lNiozaNAgdO3aFceOHcOtW7fKzRMVFYX8/Pxaqa82TZo0CbKysti4caPIA1KECgsLxTqBtf39CY+p3bt3Iysri0svKSnhzmfjxo3j0gcNGoQ2bdrgwoULYvMKd+zYUe4w3fv375f7/j5hfWUfGkMIaVpo6CYh5LOpqqqKPKGvuq5fv87NiSspKcHLly8RGBiI7Oxs6OrqYsKECdUqx9nZGU+fPsWJEycQGhoKMzMzyMrK4vnz5wgODsbu3bthZGQEJSUlWFpa4uLFixg1ahRMTU2Rm5uLu3fvonnz5ujRo0eVv4hXR79+/bBp0ybcvn0bWlpa3Pvb5OTk8Pvvv5f7gJCKTJw4ET4+Pli0aBH3rrinT58iKCgIw4cPL/dl5iYmJrh8+TIWLlyIAQMGQE5ODqqqqhg1alSF9UyfPh23b99GQEAARo4cif79++P9+/e4fPkyMjMzMXPmzBp1UGvKxMQEFy9exNy5c9GzZ0/IyMigd+/eIg+dkJKSwo8//oiNGzcCqPxuHlCz/TB//nzExcXhxIkTuHHjBoyNjaGiooLMzEwkJycjMjISS5YsQffu3SutU0pKCi4uLpg2bRqWLFmCCxcuoFu3bkhMTMT169fRsmVLbN68uUYxUJt1GRsbQ1paGq6urnj69Cl3p2j+/Pmf1AZZWVns2LEDM2fOxOzZs8Hn89GjRw/Iy8sjLS0NDx8+REpKCoKDg6v1JF5J0tDQwG+//YZVq1bBysoK/fr1wzfffIPi4mKkpqYiIiIC7dq1E+lEf8qxVRkDAwPMnDkTBw4cgJWVFYYOHYoWLVogKCgIT548gUAgwIwZM7j8LVu2xPr167FkyRJMmjRJ5D16T58+Re/evcXu0Nnb20NBQQG9evVC586dwRhDeHg4Hj58CG1t7XKfWEsIaRqoo0cIqTcBAQEICAjgPrds2RLdunXDrFmzMHnyZMjJyVWrnDZt2uDEiRM4fPgw/P39cerUKUhLS+Orr77C2LFjRS7Of/vtN3z99dfw9/fH0aNH0b59e1hYWMDBwQEODg61sl36+vpYsGABtm/fDi8vLzDGYGxsjMWLF9f4SYNaWlr466+/sG3bNty6dQvFxcXQ0tKCh4cHFBUVy+3o2djYIDU1FRcvXsSBAwdQXFyMPn36VHox2rx5c3h6esLT0xMXLlyAl5cXmjVrBi0tLfz888+wsrKq6ddQI6tWrYKUlBTu3buHW7duobS0FPb29mJPFxw9ejRcXFwgKytb5cV1TfaDrKwsdu3ahXPnzsHX1xc3b97Eu3fv0K5dO3Tp0gWLFi3iHgJTFX19fZw5cwa7d+/GvXv3cOPGDbRr1w6WlpaYP38+unXrVqPvpjbr0tDQwKZNm3Do0CEcO3YMBQUFAD69owd8iNFz587B09MTN2/ehI+PD6SlpaGkpISePXti4cKFaNeu3WdtZ10ZOXIktLS04OnpiZCQEAQHB0NBQQHKysoYOnQohg8fLpL/U46tqixfvhw9e/aEl5cXzp49i+LiYnTt2hWLFy/G9OnTxV4HM2zYMCgqKsLDwwOXLl1C8+bNYWhoiBMnTmD//v1iHb2ffvoJwcHBiImJwa1bt7jO6bJly/Djjz/WypOGCSENkxQr734+IYQQ0gCFhITAzs4O33//PbZs2VJpHnt7eyxcuFDCLSSEEEIaBpqjRwghpNE4cOAAAMDW1raeW0IIIYQ0bDR0kxBCSIP2+PFj3Lx5EzExMbh9+zbMzc25pz0SQgghpHzU0SOEENKgxcTEwNXVFa1atcKwYcOwdu3a+m4SIYQQ0uDRHD1CCCGEEEIIaWJojh4hhBBCCCGENDHU0SOEEEIIIYSQJoY6eoQQQgghhBDSxFBHjxBCCCGEEEKaGOroEUIIIYQQQkgT83+HtFFaOmsT/AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1008x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- ok, with ERA5, there are also some regions where we have more errors with match_geod_pergla and match_geod_pergla_massredis than with no_match (e.g. RGI 13,14), but it is never more than 0.03% of more failing glacier area\n",
    "    - in RGI region 17, there is only for match_geod_pergla more failing glacier area and not for match_geod_pergla massredis (it is a flowline_model_run_historical error from level 5 and we would need a larger domain, e.g. border = 160 for that)!!!\n",
    "- so maybe, at least for ERA5, it is not a big issue that the precipitation factor is too low to allow positive MB!!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Let's look again into RGI region 13 (but now for ERA5)**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x1296 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "\n",
    "exp = 'elev_bands'\n",
    "pcp = 'pcp1.6'\n",
    "clim = 'ERA5'\n",
    "# when we compare between ERA5 and CRU, we have to omit region 19 because CRU has no climate date for RGI region 19!\n",
    "rgi_reg = '13'\n",
    "missing = []\n",
    "# different match options only available for elev_bands\n",
    "dfserr_rgi19 = {}\n",
    "pd_rel_error_area_rgi19 = pd.DataFrame(columns=['rel_error_area_in_percent', 'level', 'exp',\n",
    "                                              'clim_pcp', 'match', 'qc', 'border', 'rgi_reg'])\n",
    "\n",
    "plt.figure(figsize=(16,18))\n",
    "n = 1\n",
    "for match in ['no_match', 'match_geod', 'match_geod_pergla', 'match_geod_pergla_massredis']:  # \n",
    "    for exp in ['elev_bands']: #, 'centerlines']:\n",
    "        if 'match_geod_pergla' in match:\n",
    "            qc = 'qc0'\n",
    "            border = 80\n",
    "            # todo remove this, when all preprocessed gdirs are inside of main oggm \n",
    "            path = '/home/www/oggm/gdirs/oggm_v1.6/'\n",
    "        else:\n",
    "            qc = 'qc3'\n",
    "            border = 160\n",
    "            path = '/home/www/oggm/gdirs/oggm_v1.4/'\n",
    "\n",
    "        plt.subplot(4,2,n)\n",
    "        n += 1\n",
    "        try:\n",
    "            dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr_rgi19, pd_rel_error_area=pd_rel_error_area_rgi19,\n",
    "                                                              level=level,exp=exp, pcp =pcp, clim=clim, \n",
    "                                                              qc=qc,border=border, match=match,\n",
    "                                                              rgi_reg = rgi_reg, path = path,\n",
    "                                                              subplot=True, xlim=80)\n",
    "        except:\n",
    "            missing.append(f'{level}_{exp}_{pcp}_{clim}_{match}_{qc}')\n",
    "            plt.title(f'missing: {level}_{exp}_{pcp}_{clim}_{match}_{qc}')\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-13.38409</th>\n",
       "      <td>1.037</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.37824</th>\n",
       "      <td>1.029</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.40589</th>\n",
       "      <td>0.840</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.48588</th>\n",
       "      <td>0.522</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.40780</th>\n",
       "      <td>0.366</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.39450</th>\n",
       "      <td>0.311</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.01152</th>\n",
       "      <td>0.286</td>\n",
       "      <td>flowline_model_run_historical</td>\n",
       "      <td>RuntimeError: Glacier exceeds domain boundaries, at year: 2008.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.16826</th>\n",
       "      <td>0.283</td>\n",
       "      <td>flowline_model_run_historical</td>\n",
       "      <td>RuntimeError: Glacier exceeds domain boundaries, at year: 2017.5833333333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.43348</th>\n",
       "      <td>0.274</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-13.00998</th>\n",
       "      <td>0.270</td>\n",
       "      <td>mu_star_calibration_from_geodetic_mb</td>\n",
       "      <td>MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2                            error_task  \\\n",
       "rgi_id                                                               \n",
       "RGI60-13.38409         1.037  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.37824         1.029  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.40589         0.840  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.48588         0.522  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.40780         0.366  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.39450         0.311  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.01152         0.286         flowline_model_run_historical   \n",
       "RGI60-13.16826         0.283         flowline_model_run_historical   \n",
       "RGI60-13.43348         0.274  mu_star_calibration_from_geodetic_mb   \n",
       "RGI60-13.00998         0.270  mu_star_calibration_from_geodetic_mb   \n",
       "\n",
       "                                                                                                                                     error_msg  \n",
       "rgi_id                                                                                                                                          \n",
       "RGI60-13.38409  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.37824  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.40589  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.48588  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.40780  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.39450  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.01152                                                               RuntimeError: Glacier exceeds domain boundaries, at year: 2008.25  \n",
       "RGI60-13.16826                                                    RuntimeError: Glacier exceeds domain boundaries, at year: 2017.5833333333333  \n",
       "RGI60-13.43348  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  \n",
       "RGI60-13.00998  MassBalanceCalibrationError: We could not find a way to correct the climate data and fit within the prescribed bounds for mu*.  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr['L5_elev_bands_pcp1.6_ERA5_match_geod_pergla_qc0_b80_rgi_13'].iloc[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## A closer look to RGI region 19 (only works with ERA5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1296 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "\n",
    "exp = 'elev_bands'\n",
    "pcp = 'pcp1.6'\n",
    "clim = 'ERA5'\n",
    "# when we compare between ERA5 and CRU, we have to omit region 19 because CRU has no climate date for RGI region 19!\n",
    "rgi_reg = '19'\n",
    "missing = []\n",
    "# different match options only available for elev_bands\n",
    "dfserr_rgi19 = {}\n",
    "pd_rel_error_area_rgi19 = pd.DataFrame(columns=['rel_error_area_in_percent', 'level', 'exp',\n",
    "                                              'clim_pcp', 'match', 'qc', 'border', 'rgi_reg'])\n",
    "\n",
    "plt.figure(figsize=(16,18))\n",
    "n = 1\n",
    "for match in ['no_match', 'match_geod', 'match_geod_pergla', 'match_geod_pergla_massredis']:  # \n",
    "    for exp in ['elev_bands', 'centerlines']:\n",
    "        plt.subplot(4,2,n)\n",
    "        n += 1\n",
    "        if 'match_geod_pergla' in match:\n",
    "            qc = 'qc0'\n",
    "            border = 80\n",
    "            # todo remove this, when all preprocessed gdirs are inside of main oggm \n",
    "            path = '/home/www/oggm/gdirs/oggm_v1.6/'\n",
    "        else:\n",
    "            qc = 'qc3'\n",
    "            border = 160\n",
    "            path = '/home/www/oggm/gdirs/oggm_v1.4/'\n",
    "        try:\n",
    "            dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr_rgi19, pd_rel_error_area=pd_rel_error_area_rgi19,\n",
    "                                                              level=level,exp=exp, pcp =pcp, clim=clim, \n",
    "                                                              qc=qc,border=border, match=match,\n",
    "                                                              rgi_reg = rgi_reg, path=path,\n",
    "                                                              subplot=True, xlim=300)\n",
    "        except:\n",
    "            missing.append(f'{level}_{exp}_{pcp}_{clim}_{match}_{qc}')\n",
    "            plt.title(f'missing: {level}_{exp}_{pcp}_{clim}_{match}_{qc}')\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='id-rgi-19'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "in RGI 19 with ERA5:\n",
    "- most errors are coming from preprocessing level 2 or lower (e.g. (simple_)glacier_masks or elevation_band_flowline).\n",
    "- similar as for the other regions, more errors occur for 'no_match' or 'match_geod' than for 'match_geod_pergla'. \n",
    "- However, 'match_geod_pergla_massredis' (~1% relative failing glacier area), has twice as large failing glacier area than 'no_match'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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